Namespace(arch='resnet50', batch_size=200, data='/scratch/bolei/places365_image', epochs=90, evaluate=False, lr=0.1, momentum=0.9, num_classes=365, pretrained=True, print_freq=10, resume='', start_epoch=0, weight_decay=0.0001, workers=4)
=> creating model 'resnet50'
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)
    (maxpool): MaxPool2d (size=(3, 3), stride=(2, 2), padding=(1, 1), dilation=(1, 1))
    (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 (
    )
    (fc): Linear (2048 -> 365)
  )
)
Epoch: [0][0/9018]	Time 33.144 (33.144)	Data 3.116 (3.116)	Loss 6.1014 (6.1014)	Prec@1 0.000 (0.000)	Prec@5 3.000 (3.000)
Epoch: [0][10/9018]	Time 0.585 (3.560)	Data 0.001 (0.284)	Loss 10.6159 (8.0870)	Prec@1 0.500 (0.455)	Prec@5 2.000 (1.727)
Epoch: [0][20/9018]	Time 0.586 (2.155)	Data 0.001 (0.149)	Loss 6.6046 (7.7800)	Prec@1 1.000 (0.595)	Prec@5 1.500 (1.833)
Epoch: [0][30/9018]	Time 0.592 (1.650)	Data 0.001 (0.101)	Loss 6.9569 (7.4479)	Prec@1 0.000 (0.516)	Prec@5 2.500 (1.806)
Epoch: [0][40/9018]	Time 0.604 (1.396)	Data 0.001 (0.077)	Loss 6.1616 (7.1923)	Prec@1 1.000 (0.500)	Prec@5 4.500 (1.866)
Epoch: [0][50/9018]	Time 0.588 (1.238)	Data 0.001 (0.062)	Loss 5.9261 (6.9631)	Prec@1 0.500 (0.480)	Prec@5 1.000 (1.765)
Epoch: [0][60/9018]	Time 0.586 (1.134)	Data 0.001 (0.052)	Loss 5.9104 (6.7906)	Prec@1 0.000 (0.434)	Prec@5 1.000 (1.648)
Epoch: [0][70/9018]	Time 0.599 (1.060)	Data 0.001 (0.045)	Loss 6.0913 (6.6709)	Prec@1 0.000 (0.430)	Prec@5 1.500 (1.641)
Epoch: [0][80/9018]	Time 0.593 (1.003)	Data 0.001 (0.039)	Loss 5.9032 (6.5782)	Prec@1 0.000 (0.407)	Prec@5 1.000 (1.611)
Epoch: [0][90/9018]	Time 0.591 (0.959)	Data 0.001 (0.035)	Loss 5.9006 (6.5041)	Prec@1 0.000 (0.412)	Prec@5 0.500 (1.588)
Epoch: [0][100/9018]	Time 0.594 (0.923)	Data 0.001 (0.032)	Loss 5.8845 (6.4474)	Prec@1 1.000 (0.391)	Prec@5 3.500 (1.559)
Epoch: [0][110/9018]	Time 0.599 (0.895)	Data 0.001 (0.029)	Loss 5.8955 (6.3980)	Prec@1 0.500 (0.369)	Prec@5 0.500 (1.532)
Epoch: [0][120/9018]	Time 0.592 (0.871)	Data 0.001 (0.027)	Loss 5.8949 (6.3571)	Prec@1 0.500 (0.364)	Prec@5 3.000 (1.525)
Epoch: [0][130/9018]	Time 0.599 (0.850)	Data 0.001 (0.025)	Loss 5.9092 (6.3221)	Prec@1 0.500 (0.363)	Prec@5 2.500 (1.534)
Epoch: [0][140/9018]	Time 0.604 (0.833)	Data 0.001 (0.023)	Loss 5.8963 (6.2919)	Prec@1 0.000 (0.348)	Prec@5 3.000 (1.507)
Epoch: [0][150/9018]	Time 0.728 (0.819)	Data 0.001 (0.022)	Loss 5.8896 (6.2657)	Prec@1 0.500 (0.338)	Prec@5 2.000 (1.503)
Epoch: [0][160/9018]	Time 0.598 (0.806)	Data 0.001 (0.020)	Loss 5.8938 (6.2427)	Prec@1 1.000 (0.342)	Prec@5 1.500 (1.503)
Epoch: [0][170/9018]	Time 0.597 (0.794)	Data 0.001 (0.019)	Loss 5.8850 (6.2226)	Prec@1 0.500 (0.336)	Prec@5 3.500 (1.494)
Epoch: [0][180/9018]	Time 0.592 (0.784)	Data 0.001 (0.018)	Loss 5.8984 (6.2046)	Prec@1 0.000 (0.334)	Prec@5 0.500 (1.478)
Epoch: [0][190/9018]	Time 0.605 (0.775)	Data 0.001 (0.017)	Loss 5.8969 (6.1881)	Prec@1 0.500 (0.338)	Prec@5 0.500 (1.476)
Epoch: [0][200/9018]	Time 0.761 (0.767)	Data 0.001 (0.016)	Loss 5.8878 (6.1734)	Prec@1 1.500 (0.338)	Prec@5 2.000 (1.490)
Epoch: [0][210/9018]	Time 0.623 (0.760)	Data 0.001 (0.016)	Loss 5.8838 (6.1598)	Prec@1 0.000 (0.327)	Prec@5 2.000 (1.498)
Epoch: [0][220/9018]	Time 0.601 (0.753)	Data 0.001 (0.015)	Loss 5.8836 (6.1472)	Prec@1 0.000 (0.344)	Prec@5 2.500 (1.545)
Epoch: [0][230/9018]	Time 0.628 (0.747)	Data 0.001 (0.014)	Loss 5.8568 (6.1355)	Prec@1 0.000 (0.359)	Prec@5 2.500 (1.582)
Epoch: [0][240/9018]	Time 0.607 (0.742)	Data 0.001 (0.014)	Loss 5.8573 (6.1240)	Prec@1 0.500 (0.371)	Prec@5 1.500 (1.606)
Epoch: [0][250/9018]	Time 0.603 (0.737)	Data 0.001 (0.013)	Loss 5.8315 (6.1133)	Prec@1 1.000 (0.388)	Prec@5 3.500 (1.653)
Epoch: [0][260/9018]	Time 0.632 (0.732)	Data 0.001 (0.013)	Loss 5.9046 (6.1032)	Prec@1 1.500 (0.400)	Prec@5 1.500 (1.699)
Epoch: [0][270/9018]	Time 0.605 (0.728)	Data 0.001 (0.012)	Loss 5.8330 (6.0932)	Prec@1 1.000 (0.415)	Prec@5 3.000 (1.753)
Epoch: [0][280/9018]	Time 0.629 (0.723)	Data 0.001 (0.012)	Loss 5.7684 (6.0832)	Prec@1 1.500 (0.432)	Prec@5 4.500 (1.811)
Epoch: [0][290/9018]	Time 0.594 (0.720)	Data 0.001 (0.012)	Loss 5.7586 (6.0737)	Prec@1 0.500 (0.433)	Prec@5 2.000 (1.849)
Epoch: [0][300/9018]	Time 0.603 (0.716)	Data 0.001 (0.011)	Loss 5.8737 (6.0656)	Prec@1 0.000 (0.444)	Prec@5 1.500 (1.865)
Epoch: [0][310/9018]	Time 0.645 (0.713)	Data 0.001 (0.011)	Loss 5.7749 (6.0565)	Prec@1 2.000 (0.465)	Prec@5 4.000 (1.939)
Epoch: [0][320/9018]	Time 0.606 (0.710)	Data 0.001 (0.011)	Loss 5.8404 (6.0485)	Prec@1 1.000 (0.470)	Prec@5 3.500 (1.969)
Epoch: [0][330/9018]	Time 0.601 (0.707)	Data 0.001 (0.010)	Loss 5.7697 (6.0407)	Prec@1 1.500 (0.471)	Prec@5 4.000 (1.991)
Epoch: [0][340/9018]	Time 0.600 (0.704)	Data 0.001 (0.010)	Loss 5.7742 (6.0334)	Prec@1 0.000 (0.472)	Prec@5 1.000 (2.004)
Epoch: [0][350/9018]	Time 0.596 (0.702)	Data 0.001 (0.010)	Loss 5.7894 (6.0258)	Prec@1 0.000 (0.476)	Prec@5 3.000 (2.038)
Epoch: [0][360/9018]	Time 0.594 (0.699)	Data 0.001 (0.009)	Loss 5.7629 (6.0192)	Prec@1 0.000 (0.478)	Prec@5 2.000 (2.079)
Epoch: [0][370/9018]	Time 0.599 (0.697)	Data 0.001 (0.009)	Loss 5.7861 (6.0128)	Prec@1 0.000 (0.480)	Prec@5 1.500 (2.097)
Epoch: [0][380/9018]	Time 0.598 (0.695)	Data 0.001 (0.009)	Loss 5.7026 (6.0049)	Prec@1 1.000 (0.486)	Prec@5 5.500 (2.138)
Epoch: [0][390/9018]	Time 0.605 (0.693)	Data 0.001 (0.009)	Loss 5.8043 (5.9989)	Prec@1 0.000 (0.490)	Prec@5 0.500 (2.160)
Epoch: [0][400/9018]	Time 0.638 (0.692)	Data 0.001 (0.009)	Loss 5.7423 (5.9930)	Prec@1 0.500 (0.501)	Prec@5 1.500 (2.183)
Epoch: [0][410/9018]	Time 0.599 (0.690)	Data 0.001 (0.008)	Loss 5.7564 (5.9872)	Prec@1 1.000 (0.505)	Prec@5 2.000 (2.202)
Epoch: [0][420/9018]	Time 0.597 (0.688)	Data 0.001 (0.008)	Loss 5.6748 (5.9810)	Prec@1 1.000 (0.505)	Prec@5 3.000 (2.216)
Epoch: [0][430/9018]	Time 0.613 (0.686)	Data 0.001 (0.008)	Loss 5.6850 (5.9751)	Prec@1 0.000 (0.507)	Prec@5 4.000 (2.234)
Epoch: [0][440/9018]	Time 0.635 (0.685)	Data 0.001 (0.008)	Loss 5.7348 (5.9695)	Prec@1 1.500 (0.511)	Prec@5 2.000 (2.255)
Epoch: [0][450/9018]	Time 0.595 (0.683)	Data 0.001 (0.008)	Loss 5.7514 (5.9640)	Prec@1 1.000 (0.513)	Prec@5 2.500 (2.287)
Epoch: [0][460/9018]	Time 0.605 (0.682)	Data 0.001 (0.008)	Loss 5.7137 (5.9589)	Prec@1 0.500 (0.522)	Prec@5 4.000 (2.326)
Epoch: [0][470/9018]	Time 0.624 (0.680)	Data 0.001 (0.007)	Loss 5.6857 (5.9543)	Prec@1 0.500 (0.527)	Prec@5 5.000 (2.363)
Epoch: [0][480/9018]	Time 0.725 (0.679)	Data 0.001 (0.007)	Loss 5.7121 (5.9487)	Prec@1 1.000 (0.531)	Prec@5 3.500 (2.396)
Epoch: [0][490/9018]	Time 0.596 (0.678)	Data 0.001 (0.007)	Loss 5.6468 (5.9437)	Prec@1 0.000 (0.530)	Prec@5 2.500 (2.418)
Epoch: [0][500/9018]	Time 0.609 (0.677)	Data 0.001 (0.007)	Loss 5.7327 (5.9390)	Prec@1 0.500 (0.531)	Prec@5 4.000 (2.440)
Epoch: [0][510/9018]	Time 0.604 (0.675)	Data 0.001 (0.007)	Loss 5.6545 (5.9344)	Prec@1 0.000 (0.529)	Prec@5 4.500 (2.473)
Epoch: [0][520/9018]	Time 0.601 (0.674)	Data 0.001 (0.007)	Loss 5.7569 (5.9300)	Prec@1 1.000 (0.533)	Prec@5 3.000 (2.482)
Epoch: [0][530/9018]	Time 0.745 (0.673)	Data 0.001 (0.007)	Loss 5.7188 (5.9253)	Prec@1 0.500 (0.537)	Prec@5 2.000 (2.500)
Epoch: [0][540/9018]	Time 0.604 (0.672)	Data 0.001 (0.007)	Loss 5.6092 (5.9208)	Prec@1 0.500 (0.544)	Prec@5 2.000 (2.527)
Epoch: [0][550/9018]	Time 0.597 (0.671)	Data 0.001 (0.006)	Loss 5.6557 (5.9161)	Prec@1 1.000 (0.551)	Prec@5 5.500 (2.564)
Epoch: [0][560/9018]	Time 0.600 (0.670)	Data 0.001 (0.006)	Loss 5.6488 (5.9117)	Prec@1 0.500 (0.553)	Prec@5 3.000 (2.585)
Epoch: [0][570/9018]	Time 0.605 (0.669)	Data 0.001 (0.006)	Loss 5.6409 (5.9071)	Prec@1 1.000 (0.558)	Prec@5 4.500 (2.602)
Epoch: [0][580/9018]	Time 0.603 (0.669)	Data 0.001 (0.006)	Loss 5.5989 (5.9023)	Prec@1 1.000 (0.567)	Prec@5 5.000 (2.633)
Epoch: [0][590/9018]	Time 0.598 (0.668)	Data 0.001 (0.006)	Loss 5.5498 (5.8974)	Prec@1 0.500 (0.570)	Prec@5 2.500 (2.650)
Epoch: [0][600/9018]	Time 0.593 (0.667)	Data 0.001 (0.006)	Loss 5.6384 (5.8925)	Prec@1 1.000 (0.577)	Prec@5 4.500 (2.686)
Epoch: [0][610/9018]	Time 0.638 (0.666)	Data 0.001 (0.006)	Loss 5.6042 (5.8877)	Prec@1 1.000 (0.581)	Prec@5 4.000 (2.709)
Epoch: [0][620/9018]	Time 0.594 (0.665)	Data 0.001 (0.006)	Loss 5.5693 (5.8826)	Prec@1 1.000 (0.584)	Prec@5 3.000 (2.740)
Epoch: [0][630/9018]	Time 0.600 (0.664)	Data 0.001 (0.006)	Loss 5.5639 (5.8781)	Prec@1 1.000 (0.591)	Prec@5 4.500 (2.766)
Epoch: [0][640/9018]	Time 0.609 (0.664)	Data 0.001 (0.006)	Loss 5.5598 (5.8735)	Prec@1 1.500 (0.599)	Prec@5 5.500 (2.796)
Epoch: [0][650/9018]	Time 0.611 (0.663)	Data 0.001 (0.006)	Loss 5.4648 (5.8685)	Prec@1 0.000 (0.609)	Prec@5 3.500 (2.841)
Epoch: [0][660/9018]	Time 0.610 (0.662)	Data 0.001 (0.006)	Loss 5.5086 (5.8633)	Prec@1 0.500 (0.616)	Prec@5 7.000 (2.873)
Epoch: [0][670/9018]	Time 0.627 (0.662)	Data 0.001 (0.005)	Loss 5.5654 (5.8581)	Prec@1 2.000 (0.628)	Prec@5 6.000 (2.932)
Epoch: [0][680/9018]	Time 0.603 (0.661)	Data 0.001 (0.005)	Loss 5.5437 (5.8535)	Prec@1 1.000 (0.635)	Prec@5 5.000 (2.960)
Epoch: [0][690/9018]	Time 0.602 (0.660)	Data 0.001 (0.005)	Loss 5.4898 (5.8491)	Prec@1 0.500 (0.641)	Prec@5 7.000 (2.994)
Epoch: [0][700/9018]	Time 0.617 (0.660)	Data 0.001 (0.005)	Loss 5.5153 (5.8443)	Prec@1 2.000 (0.649)	Prec@5 5.500 (3.029)
Epoch: [0][710/9018]	Time 0.599 (0.659)	Data 0.001 (0.005)	Loss 5.4471 (5.8390)	Prec@1 1.500 (0.666)	Prec@5 8.500 (3.082)
Epoch: [0][720/9018]	Time 0.605 (0.658)	Data 0.001 (0.005)	Loss 5.5441 (5.8347)	Prec@1 0.500 (0.674)	Prec@5 8.500 (3.121)
Epoch: [0][730/9018]	Time 0.610 (0.658)	Data 0.001 (0.005)	Loss 5.4203 (5.8298)	Prec@1 0.500 (0.679)	Prec@5 6.000 (3.169)
Epoch: [0][740/9018]	Time 0.607 (0.657)	Data 0.001 (0.005)	Loss 5.4748 (5.8251)	Prec@1 1.000 (0.692)	Prec@5 6.500 (3.217)
Epoch: [0][750/9018]	Time 0.622 (0.657)	Data 0.001 (0.005)	Loss 5.4603 (5.8207)	Prec@1 1.500 (0.700)	Prec@5 8.500 (3.244)
Epoch: [0][760/9018]	Time 0.618 (0.656)	Data 0.001 (0.005)	Loss 5.5171 (5.8159)	Prec@1 2.000 (0.714)	Prec@5 7.000 (3.296)
Epoch: [0][770/9018]	Time 0.615 (0.655)	Data 0.001 (0.005)	Loss 5.5603 (5.8113)	Prec@1 1.000 (0.723)	Prec@5 4.500 (3.339)
Epoch: [0][780/9018]	Time 0.593 (0.655)	Data 0.001 (0.005)	Loss 5.5061 (5.8069)	Prec@1 0.000 (0.735)	Prec@5 4.000 (3.376)
Epoch: [0][790/9018]	Time 0.594 (0.654)	Data 0.001 (0.005)	Loss 5.3855 (5.8020)	Prec@1 1.500 (0.752)	Prec@5 8.000 (3.427)
Epoch: [0][800/9018]	Time 0.629 (0.654)	Data 0.001 (0.005)	Loss 5.4491 (5.7975)	Prec@1 2.500 (0.760)	Prec@5 7.500 (3.464)
Epoch: [0][810/9018]	Time 0.749 (0.654)	Data 0.001 (0.005)	Loss 5.4608 (5.7936)	Prec@1 3.000 (0.763)	Prec@5 8.000 (3.499)
Epoch: [0][820/9018]	Time 0.594 (0.653)	Data 0.001 (0.005)	Loss 5.5799 (5.7895)	Prec@1 0.500 (0.770)	Prec@5 6.000 (3.544)
Epoch: [0][830/9018]	Time 0.600 (0.653)	Data 0.001 (0.005)	Loss 5.4731 (5.7847)	Prec@1 0.500 (0.785)	Prec@5 7.000 (3.601)
Epoch: [0][840/9018]	Time 0.602 (0.652)	Data 0.001 (0.005)	Loss 5.4716 (5.7809)	Prec@1 1.500 (0.791)	Prec@5 6.500 (3.635)
Epoch: [0][850/9018]	Time 0.592 (0.652)	Data 0.001 (0.005)	Loss 5.3031 (5.7764)	Prec@1 2.500 (0.806)	Prec@5 9.500 (3.681)
Epoch: [0][860/9018]	Time 0.715 (0.651)	Data 0.001 (0.004)	Loss 5.3842 (5.7720)	Prec@1 0.500 (0.814)	Prec@5 6.000 (3.724)
Epoch: [0][870/9018]	Time 0.613 (0.651)	Data 0.001 (0.004)	Loss 5.3838 (5.7680)	Prec@1 1.500 (0.824)	Prec@5 7.500 (3.769)
Epoch: [0][880/9018]	Time 0.605 (0.650)	Data 0.001 (0.004)	Loss 5.4656 (5.7636)	Prec@1 0.500 (0.834)	Prec@5 4.500 (3.808)
Epoch: [0][890/9018]	Time 0.596 (0.650)	Data 0.001 (0.004)	Loss 5.3565 (5.7591)	Prec@1 2.500 (0.846)	Prec@5 9.500 (3.857)
Epoch: [0][900/9018]	Time 0.608 (0.650)	Data 0.001 (0.004)	Loss 5.3565 (5.7548)	Prec@1 2.500 (0.856)	Prec@5 9.000 (3.892)
Epoch: [0][910/9018]	Time 0.605 (0.650)	Data 0.001 (0.004)	Loss 5.3885 (5.7510)	Prec@1 1.000 (0.865)	Prec@5 7.500 (3.932)
Epoch: [0][920/9018]	Time 0.596 (0.649)	Data 0.001 (0.004)	Loss 5.4080 (5.7470)	Prec@1 1.500 (0.876)	Prec@5 8.500 (3.985)
Epoch: [0][930/9018]	Time 0.605 (0.649)	Data 0.001 (0.004)	Loss 5.2772 (5.7425)	Prec@1 2.000 (0.893)	Prec@5 9.000 (4.032)
Epoch: [0][940/9018]	Time 0.596 (0.648)	Data 0.001 (0.004)	Loss 5.3254 (5.7382)	Prec@1 1.500 (0.905)	Prec@5 7.000 (4.075)
Epoch: [0][950/9018]	Time 0.598 (0.648)	Data 0.001 (0.004)	Loss 5.3694 (5.7342)	Prec@1 3.000 (0.912)	Prec@5 6.500 (4.109)
Epoch: [0][960/9018]	Time 0.609 (0.647)	Data 0.001 (0.004)	Loss 5.2236 (5.7300)	Prec@1 3.500 (0.922)	Prec@5 11.500 (4.159)
Epoch: [0][970/9018]	Time 0.618 (0.647)	Data 0.001 (0.004)	Loss 5.2023 (5.7257)	Prec@1 1.500 (0.933)	Prec@5 13.500 (4.204)
Epoch: [0][980/9018]	Time 0.593 (0.647)	Data 0.001 (0.004)	Loss 5.2466 (5.7210)	Prec@1 5.000 (0.953)	Prec@5 11.000 (4.257)
Epoch: [0][990/9018]	Time 0.610 (0.646)	Data 0.001 (0.004)	Loss 5.1581 (5.7168)	Prec@1 5.000 (0.970)	Prec@5 13.000 (4.309)
Epoch: [0][1000/9018]	Time 0.605 (0.646)	Data 0.001 (0.004)	Loss 5.3224 (5.7124)	Prec@1 1.000 (0.980)	Prec@5 7.500 (4.356)
Epoch: [0][1010/9018]	Time 0.596 (0.646)	Data 0.001 (0.004)	Loss 5.4595 (5.7086)	Prec@1 2.000 (0.992)	Prec@5 6.500 (4.398)
Epoch: [0][1020/9018]	Time 0.604 (0.645)	Data 0.001 (0.004)	Loss 5.2620 (5.7046)	Prec@1 1.500 (1.000)	Prec@5 11.000 (4.448)
Epoch: [0][1030/9018]	Time 0.633 (0.645)	Data 0.001 (0.004)	Loss 5.3143 (5.7005)	Prec@1 0.000 (1.007)	Prec@5 8.000 (4.495)
Epoch: [0][1040/9018]	Time 0.604 (0.645)	Data 0.001 (0.004)	Loss 5.3029 (5.6962)	Prec@1 3.500 (1.021)	Prec@5 8.500 (4.540)
Epoch: [0][1050/9018]	Time 0.607 (0.645)	Data 0.001 (0.004)	Loss 5.2514 (5.6923)	Prec@1 3.000 (1.039)	Prec@5 12.000 (4.593)
Epoch: [0][1060/9018]	Time 0.611 (0.644)	Data 0.001 (0.004)	Loss 5.2338 (5.6880)	Prec@1 3.000 (1.052)	Prec@5 17.000 (4.654)
Epoch: [0][1070/9018]	Time 0.597 (0.644)	Data 0.001 (0.004)	Loss 5.3671 (5.6838)	Prec@1 2.500 (1.069)	Prec@5 10.500 (4.707)
Epoch: [0][1080/9018]	Time 0.597 (0.644)	Data 0.001 (0.004)	Loss 5.2783 (5.6793)	Prec@1 1.500 (1.084)	Prec@5 10.500 (4.768)
Epoch: [0][1090/9018]	Time 0.626 (0.643)	Data 0.001 (0.004)	Loss 5.2067 (5.6752)	Prec@1 2.000 (1.093)	Prec@5 7.500 (4.820)
Epoch: [0][1100/9018]	Time 0.628 (0.643)	Data 0.001 (0.004)	Loss 5.3395 (5.6716)	Prec@1 2.000 (1.109)	Prec@5 7.000 (4.857)
Epoch: [0][1110/9018]	Time 0.597 (0.643)	Data 0.001 (0.004)	Loss 5.2411 (5.6676)	Prec@1 3.500 (1.128)	Prec@5 11.000 (4.905)
Epoch: [0][1120/9018]	Time 0.592 (0.643)	Data 0.001 (0.004)	Loss 5.3855 (5.6637)	Prec@1 2.000 (1.140)	Prec@5 7.500 (4.950)
Epoch: [0][1130/9018]	Time 0.606 (0.642)	Data 0.001 (0.004)	Loss 5.1779 (5.6597)	Prec@1 1.000 (1.153)	Prec@5 9.000 (5.001)
Epoch: [0][1140/9018]	Time 0.723 (0.642)	Data 0.001 (0.004)	Loss 5.3135 (5.6561)	Prec@1 4.000 (1.163)	Prec@5 8.000 (5.033)
Epoch: [0][1150/9018]	Time 0.602 (0.642)	Data 0.001 (0.004)	Loss 5.2232 (5.6521)	Prec@1 4.000 (1.176)	Prec@5 11.000 (5.079)
Epoch: [0][1160/9018]	Time 0.597 (0.642)	Data 0.001 (0.004)	Loss 5.0535 (5.6480)	Prec@1 3.500 (1.193)	Prec@5 12.500 (5.126)
Epoch: [0][1170/9018]	Time 0.598 (0.641)	Data 0.001 (0.004)	Loss 5.1075 (5.6437)	Prec@1 4.000 (1.207)	Prec@5 15.000 (5.174)
Epoch: [0][1180/9018]	Time 0.596 (0.641)	Data 0.001 (0.003)	Loss 5.1573 (5.6394)	Prec@1 1.500 (1.219)	Prec@5 9.500 (5.221)
Epoch: [0][1190/9018]	Time 0.789 (0.641)	Data 0.001 (0.003)	Loss 5.0986 (5.6356)	Prec@1 5.500 (1.236)	Prec@5 11.000 (5.277)
Epoch: [0][1200/9018]	Time 0.596 (0.641)	Data 0.001 (0.003)	Loss 5.1750 (5.6317)	Prec@1 3.500 (1.249)	Prec@5 9.500 (5.336)
Epoch: [0][1210/9018]	Time 0.611 (0.641)	Data 0.001 (0.003)	Loss 5.1578 (5.6281)	Prec@1 3.500 (1.260)	Prec@5 12.500 (5.389)
Epoch: [0][1220/9018]	Time 0.602 (0.640)	Data 0.001 (0.003)	Loss 5.2517 (5.6240)	Prec@1 3.000 (1.281)	Prec@5 11.000 (5.452)
Epoch: [0][1230/9018]	Time 0.615 (0.640)	Data 0.001 (0.003)	Loss 5.1484 (5.6196)	Prec@1 3.000 (1.299)	Prec@5 14.000 (5.515)
Epoch: [0][1240/9018]	Time 0.609 (0.640)	Data 0.001 (0.003)	Loss 5.1280 (5.6154)	Prec@1 3.500 (1.311)	Prec@5 11.000 (5.562)
Epoch: [0][1250/9018]	Time 0.637 (0.640)	Data 0.001 (0.003)	Loss 5.1684 (5.6116)	Prec@1 2.000 (1.329)	Prec@5 12.500 (5.618)
Epoch: [0][1260/9018]	Time 0.592 (0.640)	Data 0.001 (0.003)	Loss 5.1432 (5.6077)	Prec@1 2.000 (1.339)	Prec@5 10.500 (5.665)
Epoch: [0][1270/9018]	Time 0.601 (0.639)	Data 0.001 (0.003)	Loss 5.1314 (5.6038)	Prec@1 2.000 (1.353)	Prec@5 9.000 (5.721)
Epoch: [0][1280/9018]	Time 0.601 (0.639)	Data 0.001 (0.003)	Loss 5.0763 (5.5998)	Prec@1 1.000 (1.366)	Prec@5 13.000 (5.773)
Epoch: [0][1290/9018]	Time 0.599 (0.639)	Data 0.001 (0.003)	Loss 5.0119 (5.5959)	Prec@1 5.500 (1.384)	Prec@5 15.000 (5.838)
Epoch: [0][1300/9018]	Time 0.606 (0.639)	Data 0.001 (0.003)	Loss 5.1091 (5.5924)	Prec@1 2.000 (1.404)	Prec@5 14.500 (5.900)
Epoch: [0][1310/9018]	Time 0.607 (0.639)	Data 0.001 (0.003)	Loss 5.0268 (5.5886)	Prec@1 4.500 (1.424)	Prec@5 15.000 (5.953)
Epoch: [0][1320/9018]	Time 0.621 (0.638)	Data 0.001 (0.003)	Loss 5.1782 (5.5847)	Prec@1 3.500 (1.441)	Prec@5 10.500 (6.002)
Epoch: [0][1330/9018]	Time 0.597 (0.638)	Data 0.001 (0.003)	Loss 5.1811 (5.5808)	Prec@1 1.500 (1.456)	Prec@5 12.000 (6.054)
Epoch: [0][1340/9018]	Time 0.619 (0.638)	Data 0.001 (0.003)	Loss 5.0904 (5.5771)	Prec@1 2.500 (1.471)	Prec@5 11.500 (6.099)
Epoch: [0][1350/9018]	Time 0.611 (0.638)	Data 0.001 (0.003)	Loss 5.1018 (5.5735)	Prec@1 2.000 (1.483)	Prec@5 11.000 (6.148)
Epoch: [0][1360/9018]	Time 0.596 (0.638)	Data 0.001 (0.003)	Loss 5.2588 (5.5698)	Prec@1 3.500 (1.498)	Prec@5 12.500 (6.204)
Epoch: [0][1370/9018]	Time 0.604 (0.638)	Data 0.001 (0.003)	Loss 5.0599 (5.5658)	Prec@1 4.500 (1.514)	Prec@5 11.500 (6.257)
Epoch: [0][1380/9018]	Time 0.597 (0.638)	Data 0.001 (0.003)	Loss 5.1100 (5.5619)	Prec@1 2.500 (1.528)	Prec@5 11.000 (6.307)
Epoch: [0][1390/9018]	Time 0.609 (0.637)	Data 0.001 (0.003)	Loss 5.0039 (5.5581)	Prec@1 3.500 (1.546)	Prec@5 16.000 (6.362)
Epoch: [0][1400/9018]	Time 0.603 (0.637)	Data 0.001 (0.003)	Loss 4.8940 (5.5541)	Prec@1 5.000 (1.565)	Prec@5 21.500 (6.424)
Epoch: [0][1410/9018]	Time 0.612 (0.637)	Data 0.001 (0.003)	Loss 5.1294 (5.5501)	Prec@1 2.500 (1.578)	Prec@5 11.500 (6.484)
Epoch: [0][1420/9018]	Time 0.607 (0.637)	Data 0.001 (0.003)	Loss 5.1354 (5.5466)	Prec@1 5.000 (1.595)	Prec@5 14.000 (6.534)
Epoch: [0][1430/9018]	Time 0.611 (0.637)	Data 0.001 (0.003)	Loss 5.0501 (5.5431)	Prec@1 4.000 (1.613)	Prec@5 14.500 (6.581)
Epoch: [0][1440/9018]	Time 0.603 (0.637)	Data 0.001 (0.003)	Loss 5.1042 (5.5394)	Prec@1 4.000 (1.632)	Prec@5 14.500 (6.642)
Epoch: [0][1450/9018]	Time 0.596 (0.636)	Data 0.001 (0.003)	Loss 5.0251 (5.5356)	Prec@1 2.000 (1.644)	Prec@5 14.500 (6.698)
Epoch: [0][1460/9018]	Time 0.591 (0.636)	Data 0.001 (0.003)	Loss 4.9563 (5.5316)	Prec@1 3.500 (1.662)	Prec@5 14.500 (6.758)
Epoch: [0][1470/9018]	Time 0.717 (0.636)	Data 0.001 (0.003)	Loss 4.9259 (5.5281)	Prec@1 1.500 (1.676)	Prec@5 16.000 (6.804)
Epoch: [0][1480/9018]	Time 0.623 (0.636)	Data 0.001 (0.003)	Loss 4.7849 (5.5241)	Prec@1 7.500 (1.698)	Prec@5 18.500 (6.869)
Epoch: [0][1490/9018]	Time 0.596 (0.636)	Data 0.001 (0.003)	Loss 4.8247 (5.5202)	Prec@1 5.500 (1.718)	Prec@5 16.000 (6.931)
Epoch: [0][1500/9018]	Time 0.621 (0.636)	Data 0.001 (0.003)	Loss 5.1010 (5.5164)	Prec@1 3.500 (1.735)	Prec@5 11.000 (6.992)
Epoch: [0][1510/9018]	Time 0.599 (0.636)	Data 0.001 (0.003)	Loss 4.9723 (5.5127)	Prec@1 6.000 (1.753)	Prec@5 16.000 (7.052)
Epoch: [0][1520/9018]	Time 0.745 (0.635)	Data 0.001 (0.003)	Loss 4.9734 (5.5087)	Prec@1 2.500 (1.776)	Prec@5 16.500 (7.123)
Epoch: [0][1530/9018]	Time 0.635 (0.635)	Data 0.001 (0.003)	Loss 5.0116 (5.5057)	Prec@1 1.500 (1.788)	Prec@5 9.500 (7.169)
Epoch: [0][1540/9018]	Time 0.602 (0.635)	Data 0.001 (0.003)	Loss 5.0115 (5.5023)	Prec@1 5.000 (1.804)	Prec@5 18.000 (7.221)
Epoch: [0][1550/9018]	Time 0.623 (0.635)	Data 0.001 (0.003)	Loss 4.9191 (5.4987)	Prec@1 6.500 (1.826)	Prec@5 17.500 (7.279)
Epoch: [0][1560/9018]	Time 0.615 (0.635)	Data 0.001 (0.003)	Loss 4.9564 (5.4952)	Prec@1 2.500 (1.842)	Prec@5 14.000 (7.330)
Epoch: [0][1570/9018]	Time 0.639 (0.635)	Data 0.001 (0.003)	Loss 4.9615 (5.4917)	Prec@1 7.500 (1.866)	Prec@5 14.000 (7.385)
Epoch: [0][1580/9018]	Time 0.611 (0.635)	Data 0.001 (0.003)	Loss 4.8525 (5.4880)	Prec@1 3.500 (1.884)	Prec@5 16.000 (7.441)
Epoch: [0][1590/9018]	Time 0.610 (0.635)	Data 0.001 (0.003)	Loss 4.9719 (5.4845)	Prec@1 6.500 (1.902)	Prec@5 15.000 (7.497)
Epoch: [0][1600/9018]	Time 0.609 (0.634)	Data 0.001 (0.003)	Loss 4.6519 (5.4806)	Prec@1 9.000 (1.925)	Prec@5 21.000 (7.557)
Epoch: [0][1610/9018]	Time 0.597 (0.634)	Data 0.001 (0.003)	Loss 4.8724 (5.4769)	Prec@1 3.500 (1.939)	Prec@5 19.000 (7.616)
Epoch: [0][1620/9018]	Time 0.604 (0.634)	Data 0.001 (0.003)	Loss 4.9651 (5.4729)	Prec@1 6.500 (1.963)	Prec@5 14.000 (7.680)
Epoch: [0][1630/9018]	Time 0.602 (0.634)	Data 0.001 (0.003)	Loss 4.8565 (5.4694)	Prec@1 4.000 (1.977)	Prec@5 16.000 (7.739)
Epoch: [0][1640/9018]	Time 0.614 (0.634)	Data 0.001 (0.003)	Loss 4.8917 (5.4658)	Prec@1 6.000 (1.991)	Prec@5 17.500 (7.797)
Epoch: [0][1650/9018]	Time 0.611 (0.634)	Data 0.001 (0.003)	Loss 4.8092 (5.4620)	Prec@1 7.000 (2.012)	Prec@5 23.500 (7.859)
Epoch: [0][1660/9018]	Time 0.592 (0.634)	Data 0.001 (0.003)	Loss 4.8310 (5.4583)	Prec@1 7.000 (2.037)	Prec@5 19.000 (7.920)
Epoch: [0][1670/9018]	Time 0.645 (0.634)	Data 0.001 (0.003)	Loss 4.7968 (5.4548)	Prec@1 8.500 (2.057)	Prec@5 17.000 (7.973)
Epoch: [0][1680/9018]	Time 0.631 (0.634)	Data 0.001 (0.003)	Loss 4.8120 (5.4511)	Prec@1 6.000 (2.080)	Prec@5 21.000 (8.038)
Epoch: [0][1690/9018]	Time 0.606 (0.634)	Data 0.001 (0.003)	Loss 5.0060 (5.4476)	Prec@1 2.500 (2.093)	Prec@5 12.500 (8.097)
Epoch: [0][1700/9018]	Time 0.597 (0.633)	Data 0.001 (0.003)	Loss 4.7961 (5.4438)	Prec@1 6.500 (2.117)	Prec@5 16.000 (8.162)
Epoch: [0][1710/9018]	Time 0.613 (0.633)	Data 0.001 (0.003)	Loss 4.9973 (5.4402)	Prec@1 5.000 (2.139)	Prec@5 15.000 (8.222)
Epoch: [0][1720/9018]	Time 0.614 (0.633)	Data 0.002 (0.003)	Loss 4.9940 (5.4369)	Prec@1 5.500 (2.163)	Prec@5 15.500 (8.282)
Epoch: [0][1730/9018]	Time 0.601 (0.633)	Data 0.001 (0.003)	Loss 4.7144 (5.4335)	Prec@1 5.500 (2.181)	Prec@5 18.000 (8.336)
Epoch: [0][1740/9018]	Time 0.606 (0.633)	Data 0.001 (0.003)	Loss 4.8142 (5.4302)	Prec@1 4.000 (2.195)	Prec@5 22.000 (8.389)
Epoch: [0][1750/9018]	Time 0.603 (0.633)	Data 0.001 (0.003)	Loss 4.8115 (5.4265)	Prec@1 6.500 (2.213)	Prec@5 19.500 (8.443)
Epoch: [0][1760/9018]	Time 0.601 (0.633)	Data 0.001 (0.003)	Loss 4.5988 (5.4228)	Prec@1 7.500 (2.233)	Prec@5 23.500 (8.498)
Epoch: [0][1770/9018]	Time 0.609 (0.633)	Data 0.001 (0.003)	Loss 4.8480 (5.4190)	Prec@1 7.500 (2.259)	Prec@5 21.000 (8.563)
Epoch: [0][1780/9018]	Time 0.640 (0.633)	Data 0.001 (0.003)	Loss 4.8519 (5.4156)	Prec@1 5.000 (2.275)	Prec@5 20.000 (8.620)
Epoch: [0][1790/9018]	Time 0.607 (0.633)	Data 0.001 (0.003)	Loss 4.9592 (5.4121)	Prec@1 6.500 (2.299)	Prec@5 16.500 (8.680)
Epoch: [0][1800/9018]	Time 0.714 (0.633)	Data 0.001 (0.003)	Loss 4.7156 (5.4085)	Prec@1 7.500 (2.321)	Prec@5 18.000 (8.735)
Epoch: [0][1810/9018]	Time 0.601 (0.632)	Data 0.001 (0.003)	Loss 4.7196 (5.4052)	Prec@1 4.500 (2.334)	Prec@5 20.000 (8.785)
Epoch: [0][1820/9018]	Time 0.592 (0.632)	Data 0.001 (0.003)	Loss 5.0004 (5.4018)	Prec@1 4.500 (2.353)	Prec@5 17.500 (8.843)
Epoch: [0][1830/9018]	Time 0.628 (0.632)	Data 0.002 (0.003)	Loss 4.9280 (5.3986)	Prec@1 4.000 (2.375)	Prec@5 18.000 (8.903)
Epoch: [0][1840/9018]	Time 0.627 (0.632)	Data 0.001 (0.003)	Loss 4.5466 (5.3950)	Prec@1 9.500 (2.398)	Prec@5 25.500 (8.971)
Epoch: [0][1850/9018]	Time 0.761 (0.632)	Data 0.001 (0.003)	Loss 4.7363 (5.3912)	Prec@1 8.000 (2.425)	Prec@5 20.500 (9.036)
Epoch: [0][1860/9018]	Time 0.599 (0.632)	Data 0.001 (0.003)	Loss 4.7763 (5.3877)	Prec@1 4.500 (2.444)	Prec@5 18.000 (9.091)
Epoch: [0][1870/9018]	Time 0.599 (0.632)	Data 0.001 (0.003)	Loss 4.6650 (5.3842)	Prec@1 6.500 (2.465)	Prec@5 24.500 (9.152)
Epoch: [0][1880/9018]	Time 0.593 (0.632)	Data 0.001 (0.003)	Loss 4.6851 (5.3806)	Prec@1 8.000 (2.486)	Prec@5 20.000 (9.211)
Epoch: [0][1890/9018]	Time 0.605 (0.632)	Data 0.001 (0.002)	Loss 4.6844 (5.3769)	Prec@1 7.000 (2.506)	Prec@5 24.500 (9.283)
Epoch: [0][1900/9018]	Time 0.639 (0.632)	Data 0.001 (0.002)	Loss 4.7564 (5.3734)	Prec@1 8.500 (2.528)	Prec@5 22.000 (9.346)
Epoch: [0][1910/9018]	Time 0.594 (0.632)	Data 0.001 (0.002)	Loss 4.7108 (5.3701)	Prec@1 5.000 (2.546)	Prec@5 19.500 (9.405)
Epoch: [0][1920/9018]	Time 0.603 (0.632)	Data 0.001 (0.002)	Loss 4.7716 (5.3668)	Prec@1 7.000 (2.566)	Prec@5 20.000 (9.463)
Epoch: [0][1930/9018]	Time 0.607 (0.632)	Data 0.001 (0.002)	Loss 4.6737 (5.3634)	Prec@1 7.500 (2.587)	Prec@5 20.000 (9.514)
Epoch: [0][1940/9018]	Time 0.613 (0.631)	Data 0.001 (0.002)	Loss 4.6827 (5.3602)	Prec@1 7.500 (2.606)	Prec@5 23.500 (9.573)
Epoch: [0][1950/9018]	Time 0.629 (0.631)	Data 0.001 (0.002)	Loss 4.7765 (5.3566)	Prec@1 4.500 (2.628)	Prec@5 17.000 (9.635)
Epoch: [0][1960/9018]	Time 0.596 (0.631)	Data 0.001 (0.002)	Loss 4.6031 (5.3532)	Prec@1 9.000 (2.654)	Prec@5 25.000 (9.700)
Epoch: [0][1970/9018]	Time 0.606 (0.631)	Data 0.001 (0.002)	Loss 4.6347 (5.3501)	Prec@1 10.500 (2.672)	Prec@5 22.500 (9.752)
Epoch: [0][1980/9018]	Time 0.608 (0.631)	Data 0.001 (0.002)	Loss 4.6657 (5.3469)	Prec@1 5.500 (2.688)	Prec@5 22.000 (9.802)
Epoch: [0][1990/9018]	Time 0.626 (0.631)	Data 0.001 (0.002)	Loss 4.8184 (5.3437)	Prec@1 7.500 (2.708)	Prec@5 22.500 (9.860)
Epoch: [0][2000/9018]	Time 0.603 (0.631)	Data 0.001 (0.002)	Loss 4.5601 (5.3402)	Prec@1 9.000 (2.730)	Prec@5 24.000 (9.914)
Epoch: [0][2010/9018]	Time 0.609 (0.631)	Data 0.001 (0.002)	Loss 4.6144 (5.3367)	Prec@1 6.000 (2.750)	Prec@5 16.500 (9.969)
Epoch: [0][2020/9018]	Time 0.594 (0.631)	Data 0.001 (0.002)	Loss 4.6787 (5.3331)	Prec@1 8.000 (2.777)	Prec@5 20.000 (10.035)
Epoch: [0][2030/9018]	Time 0.606 (0.631)	Data 0.001 (0.002)	Loss 4.5798 (5.3298)	Prec@1 6.000 (2.793)	Prec@5 23.500 (10.091)
Epoch: [0][2040/9018]	Time 0.609 (0.631)	Data 0.001 (0.002)	Loss 4.6084 (5.3264)	Prec@1 6.500 (2.817)	Prec@5 22.000 (10.152)
Epoch: [0][2050/9018]	Time 0.602 (0.631)	Data 0.001 (0.002)	Loss 4.4744 (5.3230)	Prec@1 9.500 (2.838)	Prec@5 22.500 (10.206)
Epoch: [0][2060/9018]	Time 0.615 (0.630)	Data 0.001 (0.002)	Loss 4.4342 (5.3194)	Prec@1 9.000 (2.864)	Prec@5 25.500 (10.271)
Epoch: [0][2070/9018]	Time 0.600 (0.630)	Data 0.001 (0.002)	Loss 4.6300 (5.3160)	Prec@1 6.500 (2.887)	Prec@5 20.000 (10.327)
Epoch: [0][2080/9018]	Time 0.604 (0.630)	Data 0.001 (0.002)	Loss 4.4238 (5.3127)	Prec@1 7.500 (2.913)	Prec@5 27.500 (10.391)
Epoch: [0][2090/9018]	Time 0.608 (0.630)	Data 0.001 (0.002)	Loss 4.5581 (5.3095)	Prec@1 10.000 (2.935)	Prec@5 23.500 (10.448)
Epoch: [0][2100/9018]	Time 0.618 (0.630)	Data 0.001 (0.002)	Loss 4.9167 (5.3068)	Prec@1 2.000 (2.950)	Prec@5 15.000 (10.495)
Epoch: [0][2110/9018]	Time 0.613 (0.630)	Data 0.001 (0.002)	Loss 4.6345 (5.3035)	Prec@1 7.500 (2.977)	Prec@5 18.000 (10.560)
Epoch: [0][2120/9018]	Time 0.595 (0.630)	Data 0.001 (0.002)	Loss 4.5300 (5.2999)	Prec@1 10.000 (3.006)	Prec@5 26.000 (10.630)
Epoch: [0][2130/9018]	Time 0.766 (0.630)	Data 0.001 (0.002)	Loss 4.7033 (5.2965)	Prec@1 6.000 (3.029)	Prec@5 21.500 (10.691)
Epoch: [0][2140/9018]	Time 0.626 (0.630)	Data 0.001 (0.002)	Loss 4.5042 (5.2932)	Prec@1 10.000 (3.048)	Prec@5 28.000 (10.748)
Epoch: [0][2150/9018]	Time 0.616 (0.630)	Data 0.001 (0.002)	Loss 4.5371 (5.2900)	Prec@1 7.500 (3.073)	Prec@5 26.000 (10.805)
Epoch: [0][2160/9018]	Time 0.593 (0.630)	Data 0.001 (0.002)	Loss 4.5034 (5.2867)	Prec@1 9.000 (3.100)	Prec@5 22.500 (10.860)
Epoch: [0][2170/9018]	Time 0.605 (0.630)	Data 0.001 (0.002)	Loss 4.3886 (5.2833)	Prec@1 11.500 (3.123)	Prec@5 24.500 (10.926)
Epoch: [0][2180/9018]	Time 0.723 (0.630)	Data 0.001 (0.002)	Loss 4.5677 (5.2800)	Prec@1 8.500 (3.141)	Prec@5 23.000 (10.987)
Epoch: [0][2190/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 4.5494 (5.2768)	Prec@1 9.500 (3.160)	Prec@5 24.500 (11.042)
Epoch: [0][2200/9018]	Time 0.613 (0.630)	Data 0.001 (0.002)	Loss 4.4517 (5.2735)	Prec@1 11.000 (3.181)	Prec@5 28.000 (11.103)
Epoch: [0][2210/9018]	Time 0.593 (0.630)	Data 0.001 (0.002)	Loss 4.6002 (5.2703)	Prec@1 6.000 (3.199)	Prec@5 20.500 (11.155)
Epoch: [0][2220/9018]	Time 0.604 (0.630)	Data 0.001 (0.002)	Loss 4.6913 (5.2669)	Prec@1 8.500 (3.224)	Prec@5 26.500 (11.217)
Epoch: [0][2230/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 4.5345 (5.2635)	Prec@1 7.500 (3.249)	Prec@5 24.000 (11.286)
Epoch: [0][2240/9018]	Time 0.605 (0.629)	Data 0.001 (0.002)	Loss 4.4840 (5.2605)	Prec@1 9.500 (3.267)	Prec@5 23.000 (11.338)
Epoch: [0][2250/9018]	Time 0.597 (0.629)	Data 0.001 (0.002)	Loss 4.5786 (5.2576)	Prec@1 7.000 (3.284)	Prec@5 23.500 (11.398)
Epoch: [0][2260/9018]	Time 0.603 (0.629)	Data 0.001 (0.002)	Loss 4.4611 (5.2545)	Prec@1 9.500 (3.304)	Prec@5 26.000 (11.455)
Epoch: [0][2270/9018]	Time 0.603 (0.629)	Data 0.001 (0.002)	Loss 4.4230 (5.2512)	Prec@1 10.500 (3.330)	Prec@5 33.000 (11.525)
Epoch: [0][2280/9018]	Time 0.631 (0.629)	Data 0.001 (0.002)	Loss 4.5323 (5.2484)	Prec@1 8.000 (3.348)	Prec@5 23.500 (11.576)
Epoch: [0][2290/9018]	Time 0.626 (0.629)	Data 0.001 (0.002)	Loss 4.4589 (5.2450)	Prec@1 11.500 (3.371)	Prec@5 25.500 (11.643)
Epoch: [0][2300/9018]	Time 0.599 (0.629)	Data 0.001 (0.002)	Loss 4.5808 (5.2421)	Prec@1 8.000 (3.390)	Prec@5 21.500 (11.695)
Epoch: [0][2310/9018]	Time 0.601 (0.629)	Data 0.001 (0.002)	Loss 4.4271 (5.2389)	Prec@1 11.000 (3.410)	Prec@5 28.500 (11.753)
Epoch: [0][2320/9018]	Time 0.594 (0.629)	Data 0.001 (0.002)	Loss 4.4173 (5.2357)	Prec@1 7.000 (3.432)	Prec@5 24.500 (11.812)
Epoch: [0][2330/9018]	Time 0.601 (0.629)	Data 0.001 (0.002)	Loss 4.4797 (5.2324)	Prec@1 8.500 (3.456)	Prec@5 27.000 (11.876)
Epoch: [0][2340/9018]	Time 0.604 (0.629)	Data 0.001 (0.002)	Loss 4.5017 (5.2289)	Prec@1 9.500 (3.482)	Prec@5 26.000 (11.946)
Epoch: [0][2350/9018]	Time 0.593 (0.629)	Data 0.001 (0.002)	Loss 4.5246 (5.2258)	Prec@1 8.000 (3.503)	Prec@5 24.500 (12.003)
Epoch: [0][2360/9018]	Time 0.624 (0.629)	Data 0.001 (0.002)	Loss 4.5714 (5.2228)	Prec@1 8.500 (3.522)	Prec@5 24.500 (12.056)
Epoch: [0][2370/9018]	Time 0.604 (0.629)	Data 0.001 (0.002)	Loss 4.4043 (5.2195)	Prec@1 7.000 (3.544)	Prec@5 23.500 (12.119)
Epoch: [0][2380/9018]	Time 0.592 (0.629)	Data 0.001 (0.002)	Loss 4.6265 (5.2163)	Prec@1 2.500 (3.567)	Prec@5 23.000 (12.181)
Epoch: [0][2390/9018]	Time 0.603 (0.628)	Data 0.001 (0.002)	Loss 4.4633 (5.2132)	Prec@1 10.000 (3.590)	Prec@5 29.500 (12.240)
Epoch: [0][2400/9018]	Time 0.595 (0.628)	Data 0.001 (0.002)	Loss 4.3450 (5.2103)	Prec@1 13.000 (3.615)	Prec@5 29.000 (12.297)
Epoch: [0][2410/9018]	Time 0.595 (0.628)	Data 0.001 (0.002)	Loss 4.4245 (5.2074)	Prec@1 8.500 (3.633)	Prec@5 29.000 (12.353)
Epoch: [0][2420/9018]	Time 0.609 (0.628)	Data 0.001 (0.002)	Loss 4.6367 (5.2043)	Prec@1 8.500 (3.656)	Prec@5 26.500 (12.412)
Epoch: [0][2430/9018]	Time 0.604 (0.628)	Data 0.001 (0.002)	Loss 4.4083 (5.2012)	Prec@1 7.000 (3.677)	Prec@5 29.000 (12.471)
Epoch: [0][2440/9018]	Time 0.597 (0.628)	Data 0.001 (0.002)	Loss 4.5822 (5.1982)	Prec@1 9.000 (3.699)	Prec@5 21.000 (12.525)
Epoch: [0][2450/9018]	Time 0.634 (0.628)	Data 0.001 (0.002)	Loss 4.6071 (5.1952)	Prec@1 9.000 (3.723)	Prec@5 28.000 (12.587)
Epoch: [0][2460/9018]	Time 0.741 (0.628)	Data 0.001 (0.002)	Loss 4.5061 (5.1922)	Prec@1 10.500 (3.747)	Prec@5 25.000 (12.644)
Epoch: [0][2470/9018]	Time 0.611 (0.628)	Data 0.001 (0.002)	Loss 4.6296 (5.1892)	Prec@1 8.000 (3.766)	Prec@5 25.500 (12.701)
Epoch: [0][2480/9018]	Time 0.595 (0.628)	Data 0.001 (0.002)	Loss 4.5855 (5.1862)	Prec@1 9.500 (3.789)	Prec@5 24.000 (12.759)
Epoch: [0][2490/9018]	Time 0.601 (0.628)	Data 0.001 (0.002)	Loss 4.6260 (5.1831)	Prec@1 11.000 (3.819)	Prec@5 27.000 (12.818)
Epoch: [0][2500/9018]	Time 0.613 (0.628)	Data 0.001 (0.002)	Loss 4.1687 (5.1799)	Prec@1 10.500 (3.845)	Prec@5 37.000 (12.884)
Epoch: [0][2510/9018]	Time 0.771 (0.628)	Data 0.001 (0.002)	Loss 4.4530 (5.1766)	Prec@1 7.000 (3.870)	Prec@5 26.000 (12.949)
Epoch: [0][2520/9018]	Time 0.611 (0.628)	Data 0.001 (0.002)	Loss 4.3905 (5.1737)	Prec@1 11.500 (3.891)	Prec@5 30.500 (13.003)
Epoch: [0][2530/9018]	Time 0.594 (0.628)	Data 0.001 (0.002)	Loss 4.5581 (5.1707)	Prec@1 5.500 (3.913)	Prec@5 24.500 (13.063)
Epoch: [0][2540/9018]	Time 0.591 (0.628)	Data 0.001 (0.002)	Loss 4.4845 (5.1676)	Prec@1 6.500 (3.933)	Prec@5 27.000 (13.121)
Epoch: [0][2550/9018]	Time 0.603 (0.628)	Data 0.001 (0.002)	Loss 4.3976 (5.1645)	Prec@1 10.500 (3.958)	Prec@5 27.500 (13.181)
Epoch: [0][2560/9018]	Time 0.600 (0.628)	Data 0.001 (0.002)	Loss 4.3629 (5.1616)	Prec@1 7.500 (3.982)	Prec@5 31.000 (13.242)
Epoch: [0][2570/9018]	Time 0.595 (0.627)	Data 0.001 (0.002)	Loss 4.3131 (5.1589)	Prec@1 7.500 (3.999)	Prec@5 31.500 (13.297)
Epoch: [0][2580/9018]	Time 0.593 (0.627)	Data 0.001 (0.002)	Loss 4.5055 (5.1559)	Prec@1 9.000 (4.018)	Prec@5 23.500 (13.356)
Epoch: [0][2590/9018]	Time 0.593 (0.627)	Data 0.001 (0.002)	Loss 4.4458 (5.1528)	Prec@1 10.000 (4.042)	Prec@5 25.500 (13.417)
Epoch: [0][2600/9018]	Time 0.619 (0.627)	Data 0.001 (0.002)	Loss 4.5861 (5.1502)	Prec@1 7.000 (4.058)	Prec@5 23.000 (13.467)
Epoch: [0][2610/9018]	Time 0.603 (0.627)	Data 0.001 (0.002)	Loss 4.2902 (5.1474)	Prec@1 9.500 (4.076)	Prec@5 29.000 (13.520)
Epoch: [0][2620/9018]	Time 0.593 (0.627)	Data 0.001 (0.002)	Loss 4.3567 (5.1445)	Prec@1 11.500 (4.099)	Prec@5 27.500 (13.570)
Epoch: [0][2630/9018]	Time 0.595 (0.627)	Data 0.001 (0.002)	Loss 4.4424 (5.1416)	Prec@1 8.500 (4.121)	Prec@5 28.000 (13.628)
Epoch: [0][2640/9018]	Time 0.617 (0.627)	Data 0.001 (0.002)	Loss 4.3379 (5.1387)	Prec@1 8.500 (4.144)	Prec@5 28.500 (13.683)
Epoch: [0][2650/9018]	Time 0.600 (0.627)	Data 0.001 (0.002)	Loss 4.3970 (5.1358)	Prec@1 8.500 (4.167)	Prec@5 29.500 (13.736)
Epoch: [0][2660/9018]	Time 0.592 (0.627)	Data 0.001 (0.002)	Loss 4.2568 (5.1330)	Prec@1 9.500 (4.190)	Prec@5 31.000 (13.795)
Epoch: [0][2670/9018]	Time 0.632 (0.627)	Data 0.001 (0.002)	Loss 4.3669 (5.1300)	Prec@1 9.000 (4.212)	Prec@5 27.000 (13.852)
Epoch: [0][2680/9018]	Time 0.615 (0.627)	Data 0.001 (0.002)	Loss 4.1747 (5.1269)	Prec@1 10.500 (4.239)	Prec@5 31.500 (13.918)
Epoch: [0][2690/9018]	Time 0.594 (0.627)	Data 0.001 (0.002)	Loss 4.3376 (5.1241)	Prec@1 9.000 (4.260)	Prec@5 26.500 (13.970)
Epoch: [0][2700/9018]	Time 0.598 (0.627)	Data 0.001 (0.002)	Loss 4.1733 (5.1209)	Prec@1 15.000 (4.287)	Prec@5 32.000 (14.034)
Epoch: [0][2710/9018]	Time 0.594 (0.627)	Data 0.001 (0.002)	Loss 4.1847 (5.1179)	Prec@1 12.500 (4.308)	Prec@5 35.000 (14.091)
Epoch: [0][2720/9018]	Time 0.599 (0.627)	Data 0.001 (0.002)	Loss 4.3031 (5.1149)	Prec@1 10.500 (4.330)	Prec@5 29.000 (14.146)
Epoch: [0][2730/9018]	Time 0.626 (0.627)	Data 0.001 (0.002)	Loss 4.2143 (5.1119)	Prec@1 8.500 (4.352)	Prec@5 30.500 (14.207)
Epoch: [0][2740/9018]	Time 0.594 (0.627)	Data 0.001 (0.002)	Loss 4.4069 (5.1093)	Prec@1 9.500 (4.374)	Prec@5 26.500 (14.264)
Epoch: [0][2750/9018]	Time 0.597 (0.627)	Data 0.001 (0.002)	Loss 4.1103 (5.1064)	Prec@1 15.000 (4.397)	Prec@5 39.000 (14.322)
Epoch: [0][2760/9018]	Time 0.599 (0.627)	Data 0.001 (0.002)	Loss 4.2749 (5.1034)	Prec@1 15.000 (4.428)	Prec@5 30.500 (14.376)
Epoch: [0][2770/9018]	Time 0.604 (0.627)	Data 0.001 (0.002)	Loss 4.3560 (5.1007)	Prec@1 8.000 (4.448)	Prec@5 27.500 (14.424)
Epoch: [0][2780/9018]	Time 0.593 (0.627)	Data 0.001 (0.002)	Loss 4.4507 (5.0980)	Prec@1 9.000 (4.466)	Prec@5 26.000 (14.476)
Epoch: [0][2790/9018]	Time 0.739 (0.627)	Data 0.001 (0.002)	Loss 4.2727 (5.0953)	Prec@1 11.000 (4.484)	Prec@5 31.500 (14.528)
Epoch: [0][2800/9018]	Time 0.636 (0.627)	Data 0.001 (0.002)	Loss 4.1739 (5.0925)	Prec@1 12.000 (4.507)	Prec@5 36.500 (14.584)
Epoch: [0][2810/9018]	Time 0.620 (0.627)	Data 0.001 (0.002)	Loss 4.1806 (5.0896)	Prec@1 15.500 (4.533)	Prec@5 36.500 (14.645)
Epoch: [0][2820/9018]	Time 0.602 (0.627)	Data 0.001 (0.002)	Loss 4.1234 (5.0867)	Prec@1 11.500 (4.554)	Prec@5 33.500 (14.700)
Epoch: [0][2830/9018]	Time 0.611 (0.627)	Data 0.001 (0.002)	Loss 4.2555 (5.0840)	Prec@1 10.500 (4.573)	Prec@5 33.000 (14.755)
Epoch: [0][2840/9018]	Time 0.756 (0.626)	Data 0.001 (0.002)	Loss 4.4939 (5.0813)	Prec@1 9.000 (4.596)	Prec@5 22.500 (14.812)
Epoch: [0][2850/9018]	Time 0.639 (0.626)	Data 0.001 (0.002)	Loss 4.2129 (5.0786)	Prec@1 14.500 (4.618)	Prec@5 29.500 (14.866)
Epoch: [0][2860/9018]	Time 0.610 (0.626)	Data 0.001 (0.002)	Loss 4.3941 (5.0757)	Prec@1 12.000 (4.641)	Prec@5 33.500 (14.929)
Epoch: [0][2870/9018]	Time 0.607 (0.626)	Data 0.001 (0.002)	Loss 4.0152 (5.0727)	Prec@1 12.000 (4.666)	Prec@5 36.000 (14.994)
Epoch: [0][2880/9018]	Time 0.606 (0.626)	Data 0.001 (0.002)	Loss 4.4480 (5.0699)	Prec@1 10.000 (4.690)	Prec@5 26.000 (15.049)
Epoch: [0][2890/9018]	Time 0.601 (0.626)	Data 0.001 (0.002)	Loss 4.2694 (5.0669)	Prec@1 9.000 (4.712)	Prec@5 31.000 (15.101)
Epoch: [0][2900/9018]	Time 0.603 (0.626)	Data 0.001 (0.002)	Loss 4.1998 (5.0640)	Prec@1 12.000 (4.738)	Prec@5 31.500 (15.159)
Epoch: [0][2910/9018]	Time 0.593 (0.626)	Data 0.001 (0.002)	Loss 4.2863 (5.0612)	Prec@1 10.000 (4.761)	Prec@5 32.000 (15.214)
Epoch: [0][2920/9018]	Time 0.618 (0.626)	Data 0.001 (0.002)	Loss 4.2898 (5.0587)	Prec@1 13.000 (4.779)	Prec@5 35.500 (15.262)
Epoch: [0][2930/9018]	Time 0.616 (0.626)	Data 0.001 (0.002)	Loss 4.1994 (5.0558)	Prec@1 15.000 (4.807)	Prec@5 33.000 (15.320)
Epoch: [0][2940/9018]	Time 0.599 (0.626)	Data 0.001 (0.002)	Loss 4.2736 (5.0530)	Prec@1 13.000 (4.832)	Prec@5 32.000 (15.378)
Epoch: [0][2950/9018]	Time 0.597 (0.626)	Data 0.001 (0.002)	Loss 4.0961 (5.0501)	Prec@1 13.000 (4.859)	Prec@5 32.000 (15.435)
Epoch: [0][2960/9018]	Time 0.602 (0.626)	Data 0.001 (0.002)	Loss 4.1611 (5.0477)	Prec@1 11.000 (4.879)	Prec@5 33.500 (15.486)
Epoch: [0][2970/9018]	Time 0.594 (0.626)	Data 0.001 (0.002)	Loss 4.4311 (5.0451)	Prec@1 11.500 (4.900)	Prec@5 33.500 (15.536)
Epoch: [0][2980/9018]	Time 0.625 (0.626)	Data 0.001 (0.002)	Loss 4.1932 (5.0424)	Prec@1 14.000 (4.926)	Prec@5 34.000 (15.589)
Epoch: [0][2990/9018]	Time 0.600 (0.626)	Data 0.001 (0.002)	Loss 4.0610 (5.0397)	Prec@1 12.000 (4.949)	Prec@5 33.000 (15.643)
Epoch: [0][3000/9018]	Time 0.594 (0.626)	Data 0.001 (0.002)	Loss 4.0124 (5.0369)	Prec@1 13.000 (4.975)	Prec@5 38.500 (15.703)
Epoch: [0][3010/9018]	Time 0.593 (0.626)	Data 0.001 (0.002)	Loss 4.2140 (5.0342)	Prec@1 12.000 (4.997)	Prec@5 33.000 (15.758)
Epoch: [0][3020/9018]	Time 0.601 (0.626)	Data 0.001 (0.002)	Loss 4.2763 (5.0315)	Prec@1 11.500 (5.018)	Prec@5 31.000 (15.812)
Epoch: [0][3030/9018]	Time 0.600 (0.626)	Data 0.002 (0.002)	Loss 4.0054 (5.0286)	Prec@1 13.000 (5.042)	Prec@5 36.500 (15.872)
Epoch: [0][3040/9018]	Time 0.600 (0.626)	Data 0.001 (0.002)	Loss 4.3025 (5.0259)	Prec@1 10.000 (5.063)	Prec@5 30.000 (15.928)
Epoch: [0][3050/9018]	Time 0.620 (0.626)	Data 0.001 (0.002)	Loss 4.3448 (5.0235)	Prec@1 13.000 (5.084)	Prec@5 29.500 (15.978)
Epoch: [0][3060/9018]	Time 0.594 (0.626)	Data 0.001 (0.002)	Loss 4.0937 (5.0209)	Prec@1 13.000 (5.106)	Prec@5 35.500 (16.032)
Epoch: [0][3070/9018]	Time 0.732 (0.626)	Data 0.001 (0.002)	Loss 4.3085 (5.0181)	Prec@1 14.000 (5.130)	Prec@5 27.500 (16.088)
Epoch: [0][3080/9018]	Time 0.607 (0.626)	Data 0.001 (0.002)	Loss 4.0321 (5.0155)	Prec@1 17.500 (5.156)	Prec@5 35.000 (16.142)
Epoch: [0][3090/9018]	Time 0.603 (0.626)	Data 0.001 (0.002)	Loss 4.4307 (5.0129)	Prec@1 9.000 (5.176)	Prec@5 28.500 (16.196)
Epoch: [0][3100/9018]	Time 0.640 (0.626)	Data 0.001 (0.002)	Loss 4.1759 (5.0104)	Prec@1 14.000 (5.198)	Prec@5 33.500 (16.245)
Epoch: [0][3110/9018]	Time 0.596 (0.626)	Data 0.001 (0.002)	Loss 3.8632 (5.0080)	Prec@1 17.500 (5.221)	Prec@5 40.000 (16.293)
Epoch: [0][3120/9018]	Time 0.789 (0.626)	Data 0.001 (0.002)	Loss 4.1111 (5.0055)	Prec@1 15.000 (5.239)	Prec@5 38.000 (16.345)
Epoch: [0][3130/9018]	Time 0.600 (0.625)	Data 0.001 (0.002)	Loss 4.1652 (5.0030)	Prec@1 12.500 (5.263)	Prec@5 29.000 (16.394)
Epoch: [0][3140/9018]	Time 0.592 (0.625)	Data 0.001 (0.002)	Loss 4.1936 (5.0005)	Prec@1 11.500 (5.283)	Prec@5 36.000 (16.446)
Epoch: [0][3150/9018]	Time 0.620 (0.625)	Data 0.001 (0.002)	Loss 4.2452 (4.9979)	Prec@1 11.500 (5.307)	Prec@5 32.500 (16.498)
Epoch: [0][3160/9018]	Time 0.596 (0.625)	Data 0.001 (0.002)	Loss 4.3504 (4.9952)	Prec@1 9.000 (5.332)	Prec@5 29.500 (16.555)
Epoch: [0][3170/9018]	Time 0.627 (0.625)	Data 0.001 (0.002)	Loss 4.1647 (4.9927)	Prec@1 11.500 (5.353)	Prec@5 33.000 (16.607)
Epoch: [0][3180/9018]	Time 0.623 (0.625)	Data 0.001 (0.002)	Loss 4.5140 (4.9900)	Prec@1 10.000 (5.379)	Prec@5 28.000 (16.660)
Epoch: [0][3190/9018]	Time 0.603 (0.625)	Data 0.001 (0.002)	Loss 4.3332 (4.9876)	Prec@1 10.500 (5.400)	Prec@5 28.000 (16.709)
Epoch: [0][3200/9018]	Time 0.616 (0.625)	Data 0.001 (0.002)	Loss 4.0243 (4.9850)	Prec@1 9.500 (5.420)	Prec@5 36.000 (16.759)
Epoch: [0][3210/9018]	Time 0.604 (0.625)	Data 0.001 (0.002)	Loss 4.0027 (4.9823)	Prec@1 13.000 (5.445)	Prec@5 37.500 (16.817)
Epoch: [0][3220/9018]	Time 0.619 (0.625)	Data 0.001 (0.002)	Loss 4.3343 (4.9799)	Prec@1 12.500 (5.467)	Prec@5 28.500 (16.865)
Epoch: [0][3230/9018]	Time 0.610 (0.625)	Data 0.001 (0.002)	Loss 4.2923 (4.9774)	Prec@1 10.500 (5.489)	Prec@5 28.500 (16.917)
Epoch: [0][3240/9018]	Time 0.634 (0.625)	Data 0.001 (0.002)	Loss 4.3175 (4.9750)	Prec@1 9.000 (5.509)	Prec@5 31.000 (16.963)
Epoch: [0][3250/9018]	Time 0.619 (0.625)	Data 0.001 (0.002)	Loss 4.0715 (4.9725)	Prec@1 15.000 (5.529)	Prec@5 37.500 (17.011)
Epoch: [0][3260/9018]	Time 0.611 (0.625)	Data 0.001 (0.002)	Loss 4.3085 (4.9699)	Prec@1 13.500 (5.551)	Prec@5 31.000 (17.062)
Epoch: [0][3270/9018]	Time 0.604 (0.625)	Data 0.001 (0.002)	Loss 4.1539 (4.9675)	Prec@1 12.000 (5.572)	Prec@5 35.500 (17.112)
Epoch: [0][3280/9018]	Time 0.630 (0.625)	Data 0.001 (0.002)	Loss 4.0830 (4.9649)	Prec@1 16.500 (5.596)	Prec@5 35.500 (17.164)
Epoch: [0][3290/9018]	Time 0.601 (0.625)	Data 0.001 (0.002)	Loss 4.1564 (4.9623)	Prec@1 13.000 (5.616)	Prec@5 34.000 (17.214)
Epoch: [0][3300/9018]	Time 0.605 (0.625)	Data 0.001 (0.002)	Loss 4.1543 (4.9597)	Prec@1 12.500 (5.640)	Prec@5 33.000 (17.269)
Epoch: [0][3310/9018]	Time 0.597 (0.625)	Data 0.001 (0.002)	Loss 3.8969 (4.9570)	Prec@1 18.000 (5.664)	Prec@5 40.000 (17.325)
Epoch: [0][3320/9018]	Time 0.600 (0.625)	Data 0.001 (0.002)	Loss 4.1597 (4.9545)	Prec@1 13.000 (5.689)	Prec@5 38.000 (17.379)
Epoch: [0][3330/9018]	Time 0.609 (0.625)	Data 0.001 (0.002)	Loss 4.0907 (4.9521)	Prec@1 16.500 (5.713)	Prec@5 38.500 (17.430)
Epoch: [0][3340/9018]	Time 0.606 (0.625)	Data 0.001 (0.002)	Loss 4.0457 (4.9496)	Prec@1 16.500 (5.735)	Prec@5 36.500 (17.482)
Epoch: [0][3350/9018]	Time 0.610 (0.625)	Data 0.001 (0.002)	Loss 4.1260 (4.9472)	Prec@1 12.500 (5.754)	Prec@5 33.500 (17.529)
Epoch: [0][3360/9018]	Time 0.594 (0.625)	Data 0.001 (0.002)	Loss 4.1035 (4.9446)	Prec@1 14.500 (5.775)	Prec@5 38.000 (17.581)
Epoch: [0][3370/9018]	Time 0.606 (0.625)	Data 0.001 (0.002)	Loss 4.1888 (4.9421)	Prec@1 9.000 (5.796)	Prec@5 31.500 (17.633)
Epoch: [0][3380/9018]	Time 0.618 (0.625)	Data 0.001 (0.002)	Loss 4.0604 (4.9396)	Prec@1 11.500 (5.818)	Prec@5 37.500 (17.684)
Epoch: [0][3390/9018]	Time 0.620 (0.625)	Data 0.001 (0.002)	Loss 4.0729 (4.9371)	Prec@1 12.500 (5.842)	Prec@5 30.500 (17.735)
Epoch: [0][3400/9018]	Time 0.919 (0.625)	Data 0.001 (0.002)	Loss 4.0111 (4.9345)	Prec@1 14.500 (5.865)	Prec@5 35.000 (17.788)
Epoch: [0][3410/9018]	Time 0.594 (0.625)	Data 0.001 (0.002)	Loss 4.0526 (4.9321)	Prec@1 17.500 (5.887)	Prec@5 37.000 (17.840)
Epoch: [0][3420/9018]	Time 0.594 (0.625)	Data 0.001 (0.002)	Loss 4.2212 (4.9296)	Prec@1 8.000 (5.908)	Prec@5 30.000 (17.888)
Epoch: [0][3430/9018]	Time 0.607 (0.625)	Data 0.001 (0.002)	Loss 4.0178 (4.9273)	Prec@1 15.500 (5.928)	Prec@5 35.500 (17.937)
Epoch: [0][3440/9018]	Time 0.597 (0.625)	Data 0.001 (0.002)	Loss 4.0451 (4.9248)	Prec@1 15.500 (5.949)	Prec@5 39.500 (17.989)
Epoch: [0][3450/9018]	Time 0.719 (0.625)	Data 0.001 (0.002)	Loss 3.9171 (4.9221)	Prec@1 17.000 (5.973)	Prec@5 37.000 (18.048)
Epoch: [0][3460/9018]	Time 0.601 (0.625)	Data 0.001 (0.002)	Loss 4.2922 (4.9197)	Prec@1 14.500 (5.996)	Prec@5 33.000 (18.098)
Epoch: [0][3470/9018]	Time 0.605 (0.625)	Data 0.001 (0.002)	Loss 4.1267 (4.9172)	Prec@1 12.000 (6.018)	Prec@5 30.500 (18.148)
Epoch: [0][3480/9018]	Time 0.600 (0.625)	Data 0.001 (0.002)	Loss 4.1646 (4.9148)	Prec@1 9.500 (6.039)	Prec@5 31.500 (18.200)
Epoch: [0][3490/9018]	Time 0.601 (0.625)	Data 0.001 (0.002)	Loss 4.0142 (4.9123)	Prec@1 15.500 (6.065)	Prec@5 39.000 (18.253)
Epoch: [0][3500/9018]	Time 0.595 (0.625)	Data 0.001 (0.002)	Loss 3.9223 (4.9098)	Prec@1 14.000 (6.088)	Prec@5 35.500 (18.300)
Epoch: [0][3510/9018]	Time 0.631 (0.625)	Data 0.001 (0.002)	Loss 4.0255 (4.9074)	Prec@1 14.500 (6.112)	Prec@5 38.000 (18.352)
Epoch: [0][3520/9018]	Time 0.616 (0.625)	Data 0.001 (0.002)	Loss 3.8696 (4.9050)	Prec@1 18.000 (6.133)	Prec@5 38.500 (18.401)
Epoch: [0][3530/9018]	Time 0.602 (0.625)	Data 0.001 (0.002)	Loss 3.9176 (4.9026)	Prec@1 15.500 (6.156)	Prec@5 39.000 (18.451)
Epoch: [0][3540/9018]	Time 0.631 (0.625)	Data 0.001 (0.002)	Loss 4.0501 (4.9001)	Prec@1 15.500 (6.179)	Prec@5 36.000 (18.506)
Epoch: [0][3550/9018]	Time 0.620 (0.625)	Data 0.001 (0.002)	Loss 3.9593 (4.8978)	Prec@1 16.000 (6.200)	Prec@5 37.000 (18.552)
Epoch: [0][3560/9018]	Time 0.609 (0.625)	Data 0.001 (0.002)	Loss 3.9990 (4.8953)	Prec@1 14.500 (6.222)	Prec@5 35.500 (18.603)
Epoch: [0][3570/9018]	Time 0.636 (0.625)	Data 0.001 (0.002)	Loss 4.1423 (4.8929)	Prec@1 12.000 (6.247)	Prec@5 29.500 (18.653)
Epoch: [0][3580/9018]	Time 0.629 (0.625)	Data 0.001 (0.002)	Loss 3.8759 (4.8904)	Prec@1 19.500 (6.273)	Prec@5 41.000 (18.706)
Epoch: [0][3590/9018]	Time 0.593 (0.625)	Data 0.001 (0.002)	Loss 4.0136 (4.8880)	Prec@1 18.500 (6.298)	Prec@5 38.500 (18.760)
Epoch: [0][3600/9018]	Time 0.601 (0.625)	Data 0.001 (0.002)	Loss 4.0728 (4.8854)	Prec@1 15.000 (6.324)	Prec@5 34.500 (18.813)
Epoch: [0][3610/9018]	Time 0.593 (0.625)	Data 0.001 (0.002)	Loss 4.1723 (4.8831)	Prec@1 12.500 (6.344)	Prec@5 34.000 (18.861)
Epoch: [0][3620/9018]	Time 0.594 (0.625)	Data 0.002 (0.002)	Loss 3.9820 (4.8808)	Prec@1 13.000 (6.367)	Prec@5 35.500 (18.907)
Epoch: [0][3630/9018]	Time 0.632 (0.625)	Data 0.001 (0.002)	Loss 3.8077 (4.8782)	Prec@1 18.000 (6.391)	Prec@5 41.000 (18.961)
Epoch: [0][3640/9018]	Time 0.612 (0.625)	Data 0.001 (0.002)	Loss 4.0575 (4.8760)	Prec@1 15.500 (6.410)	Prec@5 35.000 (19.007)
Epoch: [0][3650/9018]	Time 0.594 (0.625)	Data 0.001 (0.002)	Loss 3.9246 (4.8736)	Prec@1 13.000 (6.435)	Prec@5 38.000 (19.058)
Epoch: [0][3660/9018]	Time 0.638 (0.625)	Data 0.001 (0.002)	Loss 4.0793 (4.8712)	Prec@1 13.500 (6.456)	Prec@5 36.000 (19.108)
Epoch: [0][3670/9018]	Time 0.594 (0.625)	Data 0.001 (0.002)	Loss 3.8671 (4.8689)	Prec@1 14.500 (6.478)	Prec@5 47.000 (19.160)
Epoch: [0][3680/9018]	Time 0.623 (0.624)	Data 0.001 (0.002)	Loss 4.0271 (4.8665)	Prec@1 17.000 (6.501)	Prec@5 34.500 (19.210)
Epoch: [0][3690/9018]	Time 0.596 (0.624)	Data 0.001 (0.002)	Loss 3.9026 (4.8640)	Prec@1 14.000 (6.525)	Prec@5 40.000 (19.261)
Epoch: [0][3700/9018]	Time 0.647 (0.624)	Data 0.001 (0.002)	Loss 4.0657 (4.8615)	Prec@1 17.000 (6.548)	Prec@5 37.500 (19.314)
Epoch: [0][3710/9018]	Time 0.600 (0.624)	Data 0.001 (0.002)	Loss 4.0472 (4.8592)	Prec@1 13.000 (6.570)	Prec@5 32.000 (19.363)
Epoch: [0][3720/9018]	Time 0.623 (0.624)	Data 0.001 (0.002)	Loss 3.9218 (4.8569)	Prec@1 13.500 (6.590)	Prec@5 40.500 (19.412)
Epoch: [0][3730/9018]	Time 0.788 (0.624)	Data 0.001 (0.002)	Loss 4.0605 (4.8547)	Prec@1 12.500 (6.613)	Prec@5 33.000 (19.461)
Epoch: [0][3740/9018]	Time 0.614 (0.624)	Data 0.001 (0.002)	Loss 3.9152 (4.8524)	Prec@1 11.500 (6.634)	Prec@5 37.000 (19.511)
Epoch: [0][3750/9018]	Time 0.613 (0.624)	Data 0.001 (0.002)	Loss 4.1273 (4.8502)	Prec@1 14.500 (6.656)	Prec@5 33.500 (19.555)
Epoch: [0][3760/9018]	Time 0.602 (0.624)	Data 0.001 (0.002)	Loss 3.9461 (4.8478)	Prec@1 15.000 (6.677)	Prec@5 36.000 (19.604)
Epoch: [0][3770/9018]	Time 0.602 (0.624)	Data 0.001 (0.002)	Loss 3.9212 (4.8454)	Prec@1 11.500 (6.699)	Prec@5 39.500 (19.657)
Epoch: [0][3780/9018]	Time 0.789 (0.624)	Data 0.001 (0.002)	Loss 3.8971 (4.8431)	Prec@1 18.500 (6.721)	Prec@5 46.000 (19.707)
Epoch: [0][3790/9018]	Time 0.609 (0.624)	Data 0.001 (0.002)	Loss 3.9458 (4.8408)	Prec@1 18.500 (6.744)	Prec@5 40.000 (19.757)
Epoch: [0][3800/9018]	Time 0.617 (0.624)	Data 0.001 (0.002)	Loss 3.9331 (4.8383)	Prec@1 17.500 (6.766)	Prec@5 40.500 (19.813)
Epoch: [0][3810/9018]	Time 0.604 (0.624)	Data 0.001 (0.002)	Loss 4.0739 (4.8360)	Prec@1 13.500 (6.792)	Prec@5 37.500 (19.862)
Epoch: [0][3820/9018]	Time 0.603 (0.624)	Data 0.001 (0.002)	Loss 4.0388 (4.8337)	Prec@1 15.500 (6.813)	Prec@5 38.500 (19.908)
Epoch: [0][3830/9018]	Time 0.613 (0.624)	Data 0.001 (0.002)	Loss 3.9856 (4.8318)	Prec@1 14.500 (6.832)	Prec@5 37.000 (19.949)
Epoch: [0][3840/9018]	Time 0.624 (0.624)	Data 0.001 (0.002)	Loss 4.0821 (4.8294)	Prec@1 15.500 (6.854)	Prec@5 37.000 (19.999)
Epoch: [0][3850/9018]	Time 0.634 (0.624)	Data 0.001 (0.002)	Loss 3.8878 (4.8271)	Prec@1 21.000 (6.880)	Prec@5 41.500 (20.050)
Epoch: [0][3860/9018]	Time 0.606 (0.624)	Data 0.002 (0.002)	Loss 3.8577 (4.8248)	Prec@1 15.500 (6.903)	Prec@5 39.000 (20.096)
Epoch: [0][3870/9018]	Time 0.627 (0.624)	Data 0.001 (0.002)	Loss 4.0605 (4.8228)	Prec@1 13.000 (6.923)	Prec@5 36.500 (20.138)
Epoch: [0][3880/9018]	Time 0.612 (0.624)	Data 0.001 (0.002)	Loss 4.3217 (4.8204)	Prec@1 12.500 (6.948)	Prec@5 30.000 (20.187)
Epoch: [0][3890/9018]	Time 0.590 (0.624)	Data 0.001 (0.002)	Loss 4.0368 (4.8184)	Prec@1 15.500 (6.968)	Prec@5 36.000 (20.228)
Epoch: [0][3900/9018]	Time 0.595 (0.624)	Data 0.001 (0.002)	Loss 4.0616 (4.8162)	Prec@1 13.000 (6.989)	Prec@5 34.000 (20.273)
Epoch: [0][3910/9018]	Time 0.604 (0.624)	Data 0.001 (0.002)	Loss 3.8327 (4.8138)	Prec@1 16.000 (7.011)	Prec@5 42.000 (20.321)
Epoch: [0][3920/9018]	Time 0.606 (0.624)	Data 0.001 (0.002)	Loss 3.9193 (4.8116)	Prec@1 13.000 (7.033)	Prec@5 38.000 (20.371)
Epoch: [0][3930/9018]	Time 0.607 (0.624)	Data 0.001 (0.002)	Loss 4.0459 (4.8094)	Prec@1 13.500 (7.053)	Prec@5 39.000 (20.417)
Epoch: [0][3940/9018]	Time 0.629 (0.624)	Data 0.001 (0.002)	Loss 4.0353 (4.8070)	Prec@1 15.000 (7.078)	Prec@5 38.000 (20.470)
Epoch: [0][3950/9018]	Time 0.620 (0.624)	Data 0.001 (0.002)	Loss 3.9512 (4.8048)	Prec@1 13.500 (7.098)	Prec@5 39.500 (20.515)
Epoch: [0][3960/9018]	Time 0.594 (0.624)	Data 0.001 (0.002)	Loss 3.9142 (4.8027)	Prec@1 15.500 (7.115)	Prec@5 42.500 (20.562)
Epoch: [0][3970/9018]	Time 0.596 (0.624)	Data 0.001 (0.002)	Loss 4.0658 (4.8005)	Prec@1 11.500 (7.138)	Prec@5 33.500 (20.608)
Epoch: [0][3980/9018]	Time 0.598 (0.624)	Data 0.001 (0.002)	Loss 3.8757 (4.7981)	Prec@1 18.500 (7.162)	Prec@5 35.500 (20.655)
Epoch: [0][3990/9018]	Time 0.612 (0.624)	Data 0.001 (0.002)	Loss 4.1367 (4.7960)	Prec@1 14.000 (7.183)	Prec@5 31.500 (20.702)
Epoch: [0][4000/9018]	Time 0.600 (0.624)	Data 0.001 (0.002)	Loss 3.8512 (4.7938)	Prec@1 19.500 (7.203)	Prec@5 43.000 (20.746)
Epoch: [0][4010/9018]	Time 0.608 (0.624)	Data 0.001 (0.002)	Loss 3.9821 (4.7916)	Prec@1 16.500 (7.225)	Prec@5 37.500 (20.795)
Epoch: [0][4020/9018]	Time 0.596 (0.624)	Data 0.001 (0.002)	Loss 3.9423 (4.7893)	Prec@1 13.500 (7.245)	Prec@5 36.500 (20.844)
Epoch: [0][4030/9018]	Time 0.628 (0.624)	Data 0.001 (0.002)	Loss 3.9573 (4.7872)	Prec@1 15.500 (7.266)	Prec@5 37.500 (20.890)
Epoch: [0][4040/9018]	Time 0.606 (0.624)	Data 0.001 (0.002)	Loss 3.7709 (4.7851)	Prec@1 20.000 (7.286)	Prec@5 40.500 (20.932)
Epoch: [0][4050/9018]	Time 0.590 (0.624)	Data 0.001 (0.002)	Loss 3.8752 (4.7828)	Prec@1 18.000 (7.310)	Prec@5 43.000 (20.982)
Epoch: [0][4060/9018]	Time 0.725 (0.624)	Data 0.001 (0.002)	Loss 3.7517 (4.7805)	Prec@1 19.000 (7.332)	Prec@5 43.000 (21.032)
Epoch: [0][4070/9018]	Time 0.612 (0.624)	Data 0.001 (0.002)	Loss 4.0763 (4.7786)	Prec@1 14.000 (7.351)	Prec@5 34.500 (21.070)
Epoch: [0][4080/9018]	Time 0.601 (0.624)	Data 0.001 (0.002)	Loss 3.7773 (4.7765)	Prec@1 15.500 (7.369)	Prec@5 44.500 (21.117)
Epoch: [0][4090/9018]	Time 0.621 (0.624)	Data 0.001 (0.002)	Loss 3.8121 (4.7745)	Prec@1 19.000 (7.389)	Prec@5 37.500 (21.156)
Epoch: [0][4100/9018]	Time 0.605 (0.624)	Data 0.001 (0.002)	Loss 4.0175 (4.7725)	Prec@1 17.000 (7.409)	Prec@5 36.000 (21.201)
Epoch: [0][4110/9018]	Time 0.777 (0.624)	Data 0.001 (0.002)	Loss 3.9162 (4.7703)	Prec@1 13.000 (7.428)	Prec@5 40.000 (21.243)
Epoch: [0][4120/9018]	Time 0.592 (0.624)	Data 0.001 (0.002)	Loss 3.7937 (4.7683)	Prec@1 15.000 (7.447)	Prec@5 41.500 (21.288)
Epoch: [0][4130/9018]	Time 0.607 (0.624)	Data 0.002 (0.002)	Loss 3.9149 (4.7663)	Prec@1 16.000 (7.466)	Prec@5 37.500 (21.332)
Epoch: [0][4140/9018]	Time 0.615 (0.624)	Data 0.001 (0.002)	Loss 4.0197 (4.7644)	Prec@1 16.500 (7.486)	Prec@5 37.500 (21.373)
Epoch: [0][4150/9018]	Time 0.601 (0.624)	Data 0.001 (0.002)	Loss 3.9792 (4.7623)	Prec@1 14.500 (7.506)	Prec@5 43.500 (21.418)
Epoch: [0][4160/9018]	Time 0.597 (0.624)	Data 0.001 (0.002)	Loss 3.7906 (4.7603)	Prec@1 18.000 (7.525)	Prec@5 41.500 (21.459)
Epoch: [0][4170/9018]	Time 0.598 (0.624)	Data 0.001 (0.002)	Loss 4.0403 (4.7583)	Prec@1 12.000 (7.544)	Prec@5 32.000 (21.503)
Epoch: [0][4180/9018]	Time 0.596 (0.624)	Data 0.001 (0.002)	Loss 4.0556 (4.7562)	Prec@1 11.000 (7.565)	Prec@5 34.000 (21.547)
Epoch: [0][4190/9018]	Time 0.601 (0.624)	Data 0.001 (0.002)	Loss 4.0972 (4.7545)	Prec@1 14.000 (7.582)	Prec@5 35.000 (21.584)
Epoch: [0][4200/9018]	Time 0.601 (0.624)	Data 0.001 (0.002)	Loss 4.0381 (4.7528)	Prec@1 15.000 (7.597)	Prec@5 38.000 (21.620)
Epoch: [0][4210/9018]	Time 0.646 (0.624)	Data 0.001 (0.002)	Loss 4.0884 (4.7510)	Prec@1 15.000 (7.615)	Prec@5 34.000 (21.657)
Epoch: [0][4220/9018]	Time 0.603 (0.624)	Data 0.001 (0.002)	Loss 3.8506 (4.7491)	Prec@1 19.000 (7.635)	Prec@5 44.000 (21.698)
Epoch: [0][4230/9018]	Time 0.600 (0.624)	Data 0.002 (0.002)	Loss 3.8439 (4.7470)	Prec@1 17.000 (7.655)	Prec@5 42.000 (21.743)
Epoch: [0][4240/9018]	Time 0.591 (0.624)	Data 0.001 (0.002)	Loss 3.9844 (4.7451)	Prec@1 16.000 (7.671)	Prec@5 38.000 (21.784)
Epoch: [0][4250/9018]	Time 0.605 (0.624)	Data 0.001 (0.002)	Loss 3.8574 (4.7431)	Prec@1 17.500 (7.693)	Prec@5 39.000 (21.828)
Epoch: [0][4260/9018]	Time 0.633 (0.624)	Data 0.001 (0.002)	Loss 3.8384 (4.7410)	Prec@1 17.000 (7.715)	Prec@5 41.500 (21.873)
Epoch: [0][4270/9018]	Time 0.595 (0.624)	Data 0.001 (0.002)	Loss 3.8365 (4.7391)	Prec@1 17.000 (7.734)	Prec@5 42.000 (21.916)
Epoch: [0][4280/9018]	Time 0.594 (0.624)	Data 0.001 (0.002)	Loss 3.8906 (4.7371)	Prec@1 15.000 (7.754)	Prec@5 40.500 (21.958)
Epoch: [0][4290/9018]	Time 0.600 (0.624)	Data 0.001 (0.002)	Loss 3.7624 (4.7350)	Prec@1 17.000 (7.771)	Prec@5 43.000 (22.003)
Epoch: [0][4300/9018]	Time 0.596 (0.624)	Data 0.001 (0.002)	Loss 3.7254 (4.7329)	Prec@1 18.500 (7.791)	Prec@5 38.500 (22.047)
Epoch: [0][4310/9018]	Time 0.621 (0.624)	Data 0.001 (0.002)	Loss 3.9762 (4.7309)	Prec@1 14.500 (7.811)	Prec@5 36.500 (22.090)
Epoch: [0][4320/9018]	Time 0.602 (0.624)	Data 0.001 (0.002)	Loss 4.0004 (4.7289)	Prec@1 17.000 (7.832)	Prec@5 43.500 (22.134)
Epoch: [0][4330/9018]	Time 0.598 (0.624)	Data 0.001 (0.002)	Loss 3.7412 (4.7268)	Prec@1 28.000 (7.855)	Prec@5 46.000 (22.177)
Epoch: [0][4340/9018]	Time 0.600 (0.624)	Data 0.001 (0.002)	Loss 3.9787 (4.7246)	Prec@1 19.000 (7.876)	Prec@5 40.000 (22.222)
Epoch: [0][4350/9018]	Time 0.597 (0.624)	Data 0.001 (0.002)	Loss 3.5525 (4.7226)	Prec@1 19.500 (7.899)	Prec@5 46.500 (22.265)
Epoch: [0][4360/9018]	Time 0.618 (0.624)	Data 0.001 (0.002)	Loss 3.7712 (4.7206)	Prec@1 16.000 (7.920)	Prec@5 44.500 (22.305)
Epoch: [0][4370/9018]	Time 0.601 (0.624)	Data 0.001 (0.002)	Loss 3.8174 (4.7185)	Prec@1 19.000 (7.942)	Prec@5 40.500 (22.349)
Epoch: [0][4380/9018]	Time 0.603 (0.624)	Data 0.001 (0.002)	Loss 3.9033 (4.7166)	Prec@1 18.000 (7.960)	Prec@5 43.500 (22.393)
Epoch: [0][4390/9018]	Time 0.745 (0.624)	Data 0.001 (0.002)	Loss 4.0415 (4.7146)	Prec@1 14.500 (7.979)	Prec@5 37.000 (22.437)
Epoch: [0][4400/9018]	Time 0.622 (0.624)	Data 0.001 (0.002)	Loss 3.6724 (4.7124)	Prec@1 18.500 (8.002)	Prec@5 38.500 (22.484)
Epoch: [0][4410/9018]	Time 0.616 (0.624)	Data 0.001 (0.002)	Loss 3.5743 (4.7103)	Prec@1 21.500 (8.023)	Prec@5 48.000 (22.528)
Epoch: [0][4420/9018]	Time 0.591 (0.623)	Data 0.001 (0.002)	Loss 3.8316 (4.7083)	Prec@1 16.500 (8.043)	Prec@5 44.000 (22.571)
Epoch: [0][4430/9018]	Time 0.599 (0.623)	Data 0.001 (0.002)	Loss 3.9104 (4.7063)	Prec@1 16.500 (8.065)	Prec@5 39.000 (22.614)
Epoch: [0][4440/9018]	Time 0.739 (0.623)	Data 0.001 (0.002)	Loss 3.6416 (4.7043)	Prec@1 17.000 (8.084)	Prec@5 45.000 (22.656)
Epoch: [0][4450/9018]	Time 0.596 (0.623)	Data 0.001 (0.002)	Loss 3.9542 (4.7025)	Prec@1 16.000 (8.105)	Prec@5 39.000 (22.697)
Epoch: [0][4460/9018]	Time 0.608 (0.623)	Data 0.001 (0.002)	Loss 3.8343 (4.7005)	Prec@1 13.000 (8.125)	Prec@5 38.000 (22.738)
Epoch: [0][4470/9018]	Time 0.596 (0.623)	Data 0.001 (0.002)	Loss 3.9643 (4.6985)	Prec@1 16.000 (8.144)	Prec@5 38.000 (22.782)
Epoch: [0][4480/9018]	Time 0.605 (0.623)	Data 0.001 (0.002)	Loss 3.8997 (4.6966)	Prec@1 11.000 (8.161)	Prec@5 31.500 (22.818)
Epoch: [0][4490/9018]	Time 0.637 (0.623)	Data 0.001 (0.002)	Loss 3.6065 (4.6946)	Prec@1 21.500 (8.183)	Prec@5 44.500 (22.861)
Epoch: [0][4500/9018]	Time 0.623 (0.623)	Data 0.001 (0.002)	Loss 3.8300 (4.6925)	Prec@1 19.500 (8.203)	Prec@5 42.000 (22.906)
Epoch: [0][4510/9018]	Time 0.616 (0.623)	Data 0.001 (0.002)	Loss 3.6931 (4.6907)	Prec@1 18.000 (8.221)	Prec@5 47.000 (22.947)
Epoch: [0][4520/9018]	Time 0.602 (0.623)	Data 0.001 (0.002)	Loss 3.5170 (4.6886)	Prec@1 19.000 (8.244)	Prec@5 46.000 (22.989)
Epoch: [0][4530/9018]	Time 0.616 (0.623)	Data 0.001 (0.002)	Loss 3.7636 (4.6867)	Prec@1 19.000 (8.265)	Prec@5 44.500 (23.032)
Epoch: [0][4540/9018]	Time 0.608 (0.623)	Data 0.001 (0.002)	Loss 3.8077 (4.6848)	Prec@1 17.500 (8.284)	Prec@5 39.500 (23.074)
Epoch: [0][4550/9018]	Time 0.613 (0.623)	Data 0.001 (0.002)	Loss 3.7616 (4.6830)	Prec@1 18.000 (8.302)	Prec@5 42.500 (23.111)
Epoch: [0][4560/9018]	Time 0.610 (0.623)	Data 0.001 (0.002)	Loss 3.7680 (4.6811)	Prec@1 14.000 (8.319)	Prec@5 41.500 (23.150)
Epoch: [0][4570/9018]	Time 0.600 (0.623)	Data 0.001 (0.002)	Loss 3.7582 (4.6791)	Prec@1 16.000 (8.339)	Prec@5 40.500 (23.192)
Epoch: [0][4580/9018]	Time 0.598 (0.623)	Data 0.001 (0.002)	Loss 3.7799 (4.6774)	Prec@1 18.000 (8.356)	Prec@5 44.000 (23.228)
Epoch: [0][4590/9018]	Time 0.605 (0.623)	Data 0.001 (0.002)	Loss 3.9418 (4.6753)	Prec@1 14.500 (8.381)	Prec@5 37.500 (23.274)
Epoch: [0][4600/9018]	Time 0.624 (0.623)	Data 0.001 (0.002)	Loss 3.8389 (4.6733)	Prec@1 16.000 (8.401)	Prec@5 40.000 (23.316)
Epoch: [0][4610/9018]	Time 0.600 (0.623)	Data 0.001 (0.002)	Loss 3.8628 (4.6715)	Prec@1 16.000 (8.420)	Prec@5 41.500 (23.355)
Epoch: [0][4620/9018]	Time 0.597 (0.623)	Data 0.001 (0.002)	Loss 3.8556 (4.6695)	Prec@1 15.000 (8.438)	Prec@5 39.000 (23.398)
Epoch: [0][4630/9018]	Time 0.598 (0.623)	Data 0.001 (0.002)	Loss 3.8058 (4.6676)	Prec@1 20.500 (8.459)	Prec@5 41.500 (23.438)
Epoch: [0][4640/9018]	Time 0.602 (0.623)	Data 0.001 (0.002)	Loss 3.6387 (4.6656)	Prec@1 17.500 (8.481)	Prec@5 47.000 (23.483)
Epoch: [0][4650/9018]	Time 0.598 (0.623)	Data 0.001 (0.002)	Loss 4.0770 (4.6638)	Prec@1 14.500 (8.500)	Prec@5 35.500 (23.523)
Epoch: [0][4660/9018]	Time 0.596 (0.623)	Data 0.001 (0.002)	Loss 3.7174 (4.6618)	Prec@1 15.000 (8.524)	Prec@5 42.500 (23.567)
Epoch: [0][4670/9018]	Time 0.620 (0.623)	Data 0.001 (0.002)	Loss 3.7417 (4.6600)	Prec@1 15.500 (8.542)	Prec@5 44.500 (23.608)
Epoch: [0][4680/9018]	Time 0.618 (0.623)	Data 0.001 (0.002)	Loss 4.0383 (4.6581)	Prec@1 15.500 (8.561)	Prec@5 37.500 (23.648)
Epoch: [0][4690/9018]	Time 0.623 (0.623)	Data 0.001 (0.002)	Loss 3.7616 (4.6562)	Prec@1 17.000 (8.580)	Prec@5 42.000 (23.688)
Epoch: [0][4700/9018]	Time 0.597 (0.623)	Data 0.001 (0.002)	Loss 3.6281 (4.6543)	Prec@1 17.500 (8.598)	Prec@5 43.000 (23.728)
Epoch: [0][4710/9018]	Time 0.606 (0.623)	Data 0.001 (0.002)	Loss 3.7653 (4.6523)	Prec@1 20.500 (8.620)	Prec@5 45.000 (23.771)
Epoch: [0][4720/9018]	Time 0.755 (0.623)	Data 0.001 (0.002)	Loss 3.9324 (4.6505)	Prec@1 16.000 (8.640)	Prec@5 36.000 (23.810)
Epoch: [0][4730/9018]	Time 0.595 (0.623)	Data 0.001 (0.002)	Loss 3.9124 (4.6488)	Prec@1 15.500 (8.657)	Prec@5 40.000 (23.844)
Epoch: [0][4740/9018]	Time 0.638 (0.623)	Data 0.001 (0.002)	Loss 3.7027 (4.6469)	Prec@1 22.000 (8.679)	Prec@5 42.000 (23.884)
Epoch: [0][4750/9018]	Time 0.593 (0.623)	Data 0.001 (0.002)	Loss 3.7932 (4.6451)	Prec@1 21.500 (8.699)	Prec@5 43.500 (23.924)
Epoch: [0][4760/9018]	Time 0.600 (0.623)	Data 0.001 (0.002)	Loss 3.7583 (4.6434)	Prec@1 19.500 (8.714)	Prec@5 42.000 (23.958)
Epoch: [0][4770/9018]	Time 0.729 (0.623)	Data 0.001 (0.001)	Loss 3.5745 (4.6416)	Prec@1 24.500 (8.733)	Prec@5 49.000 (23.996)
Epoch: [0][4780/9018]	Time 0.596 (0.623)	Data 0.001 (0.001)	Loss 3.6361 (4.6397)	Prec@1 23.000 (8.755)	Prec@5 45.000 (24.038)
Epoch: [0][4790/9018]	Time 0.595 (0.623)	Data 0.001 (0.001)	Loss 3.6397 (4.6380)	Prec@1 19.000 (8.774)	Prec@5 44.000 (24.076)
Epoch: [0][4800/9018]	Time 0.631 (0.623)	Data 0.001 (0.001)	Loss 3.7848 (4.6362)	Prec@1 14.000 (8.794)	Prec@5 46.500 (24.113)
Epoch: [0][4810/9018]	Time 0.595 (0.623)	Data 0.001 (0.001)	Loss 3.7588 (4.6345)	Prec@1 17.500 (8.811)	Prec@5 40.500 (24.148)
Epoch: [0][4820/9018]	Time 0.614 (0.623)	Data 0.001 (0.001)	Loss 3.7050 (4.6326)	Prec@1 15.000 (8.829)	Prec@5 42.500 (24.187)
Epoch: [0][4830/9018]	Time 0.624 (0.623)	Data 0.001 (0.001)	Loss 3.5377 (4.6308)	Prec@1 19.000 (8.848)	Prec@5 48.500 (24.229)
Epoch: [0][4840/9018]	Time 0.613 (0.623)	Data 0.001 (0.001)	Loss 3.7766 (4.6289)	Prec@1 17.500 (8.869)	Prec@5 43.000 (24.269)
Epoch: [0][4850/9018]	Time 0.595 (0.623)	Data 0.001 (0.001)	Loss 3.5594 (4.6270)	Prec@1 17.500 (8.888)	Prec@5 47.500 (24.310)
Epoch: [0][4860/9018]	Time 0.602 (0.623)	Data 0.001 (0.001)	Loss 3.8290 (4.6252)	Prec@1 17.000 (8.909)	Prec@5 43.000 (24.350)
Epoch: [0][4870/9018]	Time 0.618 (0.623)	Data 0.001 (0.001)	Loss 3.7497 (4.6233)	Prec@1 16.000 (8.932)	Prec@5 40.500 (24.391)
Epoch: [0][4880/9018]	Time 0.627 (0.623)	Data 0.001 (0.001)	Loss 3.7308 (4.6217)	Prec@1 18.000 (8.951)	Prec@5 43.500 (24.427)
Epoch: [0][4890/9018]	Time 0.598 (0.623)	Data 0.001 (0.001)	Loss 3.7116 (4.6197)	Prec@1 18.500 (8.972)	Prec@5 41.500 (24.469)
Epoch: [0][4900/9018]	Time 0.618 (0.623)	Data 0.001 (0.001)	Loss 3.6925 (4.6180)	Prec@1 20.500 (8.990)	Prec@5 45.000 (24.507)
Epoch: [0][4910/9018]	Time 0.600 (0.623)	Data 0.001 (0.001)	Loss 3.6723 (4.6161)	Prec@1 17.500 (9.010)	Prec@5 44.500 (24.548)
Epoch: [0][4920/9018]	Time 0.622 (0.623)	Data 0.001 (0.001)	Loss 3.5760 (4.6144)	Prec@1 20.500 (9.028)	Prec@5 47.500 (24.584)
Epoch: [0][4930/9018]	Time 0.590 (0.623)	Data 0.001 (0.001)	Loss 3.6589 (4.6127)	Prec@1 22.000 (9.045)	Prec@5 46.500 (24.621)
Epoch: [0][4940/9018]	Time 0.603 (0.623)	Data 0.001 (0.001)	Loss 3.7424 (4.6109)	Prec@1 16.500 (9.063)	Prec@5 46.000 (24.662)
Epoch: [0][4950/9018]	Time 0.604 (0.623)	Data 0.001 (0.001)	Loss 3.7480 (4.6091)	Prec@1 18.000 (9.082)	Prec@5 41.000 (24.702)
Epoch: [0][4960/9018]	Time 0.611 (0.623)	Data 0.001 (0.001)	Loss 3.6777 (4.6072)	Prec@1 23.000 (9.101)	Prec@5 44.000 (24.741)
Epoch: [0][4970/9018]	Time 0.629 (0.623)	Data 0.001 (0.001)	Loss 3.7697 (4.6055)	Prec@1 16.500 (9.118)	Prec@5 47.000 (24.780)
Epoch: [0][4980/9018]	Time 0.632 (0.623)	Data 0.001 (0.001)	Loss 3.8010 (4.6037)	Prec@1 18.500 (9.137)	Prec@5 44.500 (24.820)
Epoch: [0][4990/9018]	Time 0.596 (0.623)	Data 0.001 (0.001)	Loss 3.7811 (4.6020)	Prec@1 17.000 (9.155)	Prec@5 43.500 (24.857)
Epoch: [0][5000/9018]	Time 0.603 (0.623)	Data 0.001 (0.001)	Loss 3.8769 (4.6002)	Prec@1 16.500 (9.174)	Prec@5 40.000 (24.897)
Epoch: [0][5010/9018]	Time 0.593 (0.623)	Data 0.001 (0.001)	Loss 3.6982 (4.5984)	Prec@1 17.000 (9.194)	Prec@5 40.000 (24.935)
Epoch: [0][5020/9018]	Time 0.603 (0.623)	Data 0.001 (0.001)	Loss 3.8106 (4.5967)	Prec@1 17.000 (9.214)	Prec@5 40.000 (24.971)
Epoch: [0][5030/9018]	Time 0.593 (0.622)	Data 0.001 (0.001)	Loss 3.5384 (4.5948)	Prec@1 21.000 (9.235)	Prec@5 50.000 (25.012)
Epoch: [0][5040/9018]	Time 0.598 (0.622)	Data 0.001 (0.001)	Loss 3.8777 (4.5931)	Prec@1 16.000 (9.251)	Prec@5 40.500 (25.047)
Epoch: [0][5050/9018]	Time 0.774 (0.622)	Data 0.001 (0.001)	Loss 3.7679 (4.5915)	Prec@1 19.000 (9.269)	Prec@5 44.500 (25.084)
Epoch: [0][5060/9018]	Time 0.598 (0.622)	Data 0.001 (0.001)	Loss 3.6445 (4.5897)	Prec@1 18.500 (9.288)	Prec@5 46.500 (25.122)
Epoch: [0][5070/9018]	Time 0.598 (0.622)	Data 0.001 (0.001)	Loss 3.7434 (4.5880)	Prec@1 18.000 (9.304)	Prec@5 46.000 (25.157)
Epoch: [0][5080/9018]	Time 0.631 (0.622)	Data 0.001 (0.001)	Loss 3.6091 (4.5863)	Prec@1 22.000 (9.323)	Prec@5 49.000 (25.196)
Epoch: [0][5090/9018]	Time 0.596 (0.622)	Data 0.001 (0.001)	Loss 3.7359 (4.5846)	Prec@1 20.500 (9.340)	Prec@5 42.500 (25.230)
Epoch: [0][5100/9018]	Time 0.749 (0.622)	Data 0.001 (0.001)	Loss 3.5289 (4.5828)	Prec@1 18.500 (9.360)	Prec@5 51.000 (25.269)
Epoch: [0][5110/9018]	Time 0.599 (0.622)	Data 0.001 (0.001)	Loss 3.7438 (4.5810)	Prec@1 22.500 (9.381)	Prec@5 45.000 (25.310)
Epoch: [0][5120/9018]	Time 0.609 (0.622)	Data 0.001 (0.001)	Loss 3.7822 (4.5792)	Prec@1 19.500 (9.402)	Prec@5 45.000 (25.347)
Epoch: [0][5130/9018]	Time 0.589 (0.622)	Data 0.001 (0.001)	Loss 3.4619 (4.5773)	Prec@1 21.500 (9.422)	Prec@5 45.500 (25.389)
Epoch: [0][5140/9018]	Time 0.600 (0.622)	Data 0.001 (0.001)	Loss 3.8095 (4.5756)	Prec@1 20.500 (9.442)	Prec@5 37.000 (25.425)
Epoch: [0][5150/9018]	Time 0.613 (0.622)	Data 0.001 (0.001)	Loss 3.6911 (4.5739)	Prec@1 18.500 (9.460)	Prec@5 42.500 (25.463)
Epoch: [0][5160/9018]	Time 0.622 (0.622)	Data 0.001 (0.001)	Loss 3.7556 (4.5722)	Prec@1 15.500 (9.477)	Prec@5 42.500 (25.498)
Epoch: [0][5170/9018]	Time 0.597 (0.622)	Data 0.001 (0.001)	Loss 3.8046 (4.5705)	Prec@1 15.000 (9.497)	Prec@5 43.000 (25.535)
Epoch: [0][5180/9018]	Time 0.610 (0.622)	Data 0.001 (0.001)	Loss 3.7013 (4.5689)	Prec@1 23.500 (9.518)	Prec@5 43.000 (25.570)
Epoch: [0][5190/9018]	Time 0.604 (0.622)	Data 0.001 (0.001)	Loss 3.5885 (4.5671)	Prec@1 15.000 (9.535)	Prec@5 46.000 (25.608)
Epoch: [0][5200/9018]	Time 0.609 (0.622)	Data 0.001 (0.001)	Loss 3.5572 (4.5653)	Prec@1 21.500 (9.556)	Prec@5 43.500 (25.647)
Epoch: [0][5210/9018]	Time 0.624 (0.622)	Data 0.001 (0.001)	Loss 3.7356 (4.5636)	Prec@1 20.000 (9.570)	Prec@5 42.500 (25.680)
Epoch: [0][5220/9018]	Time 0.616 (0.622)	Data 0.001 (0.001)	Loss 3.6802 (4.5619)	Prec@1 16.500 (9.589)	Prec@5 49.500 (25.718)
Epoch: [0][5230/9018]	Time 0.592 (0.622)	Data 0.001 (0.001)	Loss 3.7949 (4.5603)	Prec@1 17.000 (9.605)	Prec@5 40.500 (25.753)
Epoch: [0][5240/9018]	Time 0.598 (0.622)	Data 0.001 (0.001)	Loss 3.5422 (4.5586)	Prec@1 20.000 (9.625)	Prec@5 49.000 (25.791)
Epoch: [0][5250/9018]	Time 0.619 (0.622)	Data 0.001 (0.001)	Loss 3.5414 (4.5569)	Prec@1 23.000 (9.642)	Prec@5 50.500 (25.827)
Epoch: [0][5260/9018]	Time 0.600 (0.622)	Data 0.001 (0.001)	Loss 3.5753 (4.5552)	Prec@1 24.000 (9.659)	Prec@5 46.000 (25.862)
Epoch: [0][5270/9018]	Time 0.598 (0.622)	Data 0.001 (0.001)	Loss 3.6984 (4.5535)	Prec@1 22.000 (9.679)	Prec@5 43.000 (25.901)
Epoch: [0][5280/9018]	Time 0.639 (0.622)	Data 0.001 (0.001)	Loss 3.6169 (4.5517)	Prec@1 19.500 (9.702)	Prec@5 46.000 (25.941)
Epoch: [0][5290/9018]	Time 0.594 (0.622)	Data 0.001 (0.001)	Loss 3.5716 (4.5500)	Prec@1 21.500 (9.722)	Prec@5 44.500 (25.978)
Epoch: [0][5300/9018]	Time 0.617 (0.622)	Data 0.001 (0.001)	Loss 3.5292 (4.5481)	Prec@1 15.500 (9.740)	Prec@5 47.500 (26.019)
Epoch: [0][5310/9018]	Time 0.608 (0.622)	Data 0.001 (0.001)	Loss 3.7907 (4.5465)	Prec@1 19.500 (9.760)	Prec@5 45.000 (26.053)
Epoch: [0][5320/9018]	Time 0.600 (0.622)	Data 0.001 (0.001)	Loss 3.5141 (4.5448)	Prec@1 26.500 (9.779)	Prec@5 48.000 (26.090)
Epoch: [0][5330/9018]	Time 0.604 (0.622)	Data 0.001 (0.001)	Loss 3.7435 (4.5432)	Prec@1 15.000 (9.793)	Prec@5 39.500 (26.122)
Epoch: [0][5340/9018]	Time 0.617 (0.622)	Data 0.001 (0.001)	Loss 3.6169 (4.5415)	Prec@1 20.500 (9.810)	Prec@5 47.000 (26.158)
Epoch: [0][5350/9018]	Time 0.606 (0.622)	Data 0.001 (0.001)	Loss 3.5134 (4.5397)	Prec@1 21.000 (9.832)	Prec@5 48.500 (26.196)
Epoch: [0][5360/9018]	Time 0.632 (0.622)	Data 0.001 (0.001)	Loss 3.5498 (4.5380)	Prec@1 20.500 (9.852)	Prec@5 49.000 (26.235)
Epoch: [0][5370/9018]	Time 0.599 (0.622)	Data 0.001 (0.001)	Loss 3.5450 (4.5363)	Prec@1 19.000 (9.872)	Prec@5 45.000 (26.270)
Epoch: [0][5380/9018]	Time 0.724 (0.622)	Data 0.001 (0.001)	Loss 3.8297 (4.5348)	Prec@1 15.500 (9.888)	Prec@5 40.000 (26.304)
Epoch: [0][5390/9018]	Time 0.596 (0.622)	Data 0.001 (0.001)	Loss 3.1236 (4.5330)	Prec@1 23.500 (9.905)	Prec@5 57.500 (26.342)
Epoch: [0][5400/9018]	Time 0.618 (0.622)	Data 0.001 (0.001)	Loss 3.6848 (4.5314)	Prec@1 15.000 (9.923)	Prec@5 43.500 (26.376)
Epoch: [0][5410/9018]	Time 0.596 (0.622)	Data 0.001 (0.001)	Loss 3.6715 (4.5299)	Prec@1 15.500 (9.938)	Prec@5 44.500 (26.410)
Epoch: [0][5420/9018]	Time 0.607 (0.622)	Data 0.001 (0.001)	Loss 4.0761 (4.5283)	Prec@1 14.000 (9.955)	Prec@5 38.500 (26.445)
Epoch: [0][5430/9018]	Time 0.750 (0.622)	Data 0.001 (0.001)	Loss 3.5919 (4.5266)	Prec@1 24.500 (9.971)	Prec@5 48.000 (26.481)
Epoch: [0][5440/9018]	Time 0.603 (0.622)	Data 0.001 (0.001)	Loss 3.8097 (4.5250)	Prec@1 18.000 (9.990)	Prec@5 45.500 (26.517)
Epoch: [0][5450/9018]	Time 0.632 (0.622)	Data 0.001 (0.001)	Loss 3.4955 (4.5233)	Prec@1 21.000 (10.007)	Prec@5 49.000 (26.550)
Epoch: [0][5460/9018]	Time 0.613 (0.622)	Data 0.001 (0.001)	Loss 3.5987 (4.5218)	Prec@1 22.000 (10.024)	Prec@5 47.500 (26.583)
Epoch: [0][5470/9018]	Time 0.603 (0.622)	Data 0.001 (0.001)	Loss 3.6032 (4.5201)	Prec@1 23.500 (10.045)	Prec@5 42.000 (26.619)
Epoch: [0][5480/9018]	Time 0.603 (0.622)	Data 0.001 (0.001)	Loss 3.7690 (4.5185)	Prec@1 17.500 (10.062)	Prec@5 42.000 (26.652)
Epoch: [0][5490/9018]	Time 0.595 (0.622)	Data 0.001 (0.001)	Loss 3.6050 (4.5169)	Prec@1 21.000 (10.080)	Prec@5 51.000 (26.688)
Epoch: [0][5500/9018]	Time 0.601 (0.622)	Data 0.001 (0.001)	Loss 3.6534 (4.5152)	Prec@1 20.000 (10.099)	Prec@5 44.000 (26.723)
Epoch: [0][5510/9018]	Time 0.598 (0.622)	Data 0.001 (0.001)	Loss 3.8132 (4.5138)	Prec@1 14.000 (10.112)	Prec@5 41.000 (26.753)
Epoch: [0][5520/9018]	Time 0.607 (0.622)	Data 0.001 (0.001)	Loss 3.3478 (4.5121)	Prec@1 26.000 (10.135)	Prec@5 52.000 (26.794)
Epoch: [0][5530/9018]	Time 0.596 (0.622)	Data 0.001 (0.001)	Loss 3.5523 (4.5104)	Prec@1 20.000 (10.154)	Prec@5 46.500 (26.827)
Epoch: [0][5540/9018]	Time 0.635 (0.622)	Data 0.001 (0.001)	Loss 3.7068 (4.5087)	Prec@1 18.500 (10.177)	Prec@5 45.000 (26.866)
Epoch: [0][5550/9018]	Time 0.602 (0.622)	Data 0.001 (0.001)	Loss 3.4817 (4.5071)	Prec@1 21.500 (10.195)	Prec@5 50.000 (26.900)
Epoch: [0][5560/9018]	Time 0.634 (0.622)	Data 0.001 (0.001)	Loss 3.5595 (4.5056)	Prec@1 19.500 (10.211)	Prec@5 45.000 (26.932)
Epoch: [0][5570/9018]	Time 0.605 (0.622)	Data 0.001 (0.001)	Loss 3.4767 (4.5039)	Prec@1 24.500 (10.229)	Prec@5 50.000 (26.968)
Epoch: [0][5580/9018]	Time 0.611 (0.622)	Data 0.001 (0.001)	Loss 3.6575 (4.5023)	Prec@1 20.000 (10.246)	Prec@5 45.500 (27.002)
Epoch: [0][5590/9018]	Time 0.599 (0.622)	Data 0.001 (0.001)	Loss 3.6552 (4.5009)	Prec@1 18.500 (10.261)	Prec@5 44.000 (27.032)
Epoch: [0][5600/9018]	Time 0.593 (0.622)	Data 0.001 (0.001)	Loss 3.4691 (4.4994)	Prec@1 23.000 (10.278)	Prec@5 51.000 (27.067)
Epoch: [0][5610/9018]	Time 0.602 (0.622)	Data 0.001 (0.001)	Loss 3.5683 (4.4977)	Prec@1 20.000 (10.298)	Prec@5 46.000 (27.102)
Epoch: [0][5620/9018]	Time 0.602 (0.622)	Data 0.001 (0.001)	Loss 3.5584 (4.4960)	Prec@1 20.000 (10.315)	Prec@5 48.000 (27.138)
Epoch: [0][5630/9018]	Time 0.593 (0.622)	Data 0.001 (0.001)	Loss 3.4179 (4.4944)	Prec@1 23.500 (10.333)	Prec@5 51.000 (27.174)
Epoch: [0][5640/9018]	Time 0.623 (0.622)	Data 0.001 (0.001)	Loss 3.5635 (4.4928)	Prec@1 19.500 (10.350)	Prec@5 43.500 (27.206)
Epoch: [0][5650/9018]	Time 0.595 (0.622)	Data 0.001 (0.001)	Loss 3.7959 (4.4912)	Prec@1 18.500 (10.369)	Prec@5 46.000 (27.240)
Epoch: [0][5660/9018]	Time 0.611 (0.622)	Data 0.001 (0.001)	Loss 3.7004 (4.4898)	Prec@1 22.000 (10.385)	Prec@5 44.500 (27.273)
Epoch: [0][5670/9018]	Time 0.599 (0.622)	Data 0.001 (0.001)	Loss 3.4888 (4.4881)	Prec@1 22.500 (10.404)	Prec@5 45.500 (27.307)
Epoch: [0][5680/9018]	Time 0.613 (0.622)	Data 0.001 (0.001)	Loss 3.5978 (4.4865)	Prec@1 19.000 (10.423)	Prec@5 51.500 (27.343)
Epoch: [0][5690/9018]	Time 0.599 (0.622)	Data 0.001 (0.001)	Loss 3.4788 (4.4850)	Prec@1 25.000 (10.443)	Prec@5 49.000 (27.376)
Epoch: [0][5700/9018]	Time 0.603 (0.622)	Data 0.001 (0.001)	Loss 3.4928 (4.4834)	Prec@1 21.000 (10.462)	Prec@5 47.000 (27.411)
Epoch: [0][5710/9018]	Time 0.751 (0.622)	Data 0.001 (0.001)	Loss 3.4435 (4.4819)	Prec@1 21.500 (10.478)	Prec@5 51.500 (27.443)
Epoch: [0][5720/9018]	Time 0.616 (0.622)	Data 0.001 (0.001)	Loss 3.6177 (4.4804)	Prec@1 22.500 (10.495)	Prec@5 46.000 (27.474)
Epoch: [0][5730/9018]	Time 0.606 (0.622)	Data 0.001 (0.001)	Loss 3.6650 (4.4789)	Prec@1 20.000 (10.512)	Prec@5 48.500 (27.507)
Epoch: [0][5740/9018]	Time 0.634 (0.622)	Data 0.001 (0.001)	Loss 3.5941 (4.4774)	Prec@1 16.500 (10.529)	Prec@5 44.000 (27.539)
Epoch: [0][5750/9018]	Time 0.597 (0.622)	Data 0.001 (0.001)	Loss 3.6681 (4.4759)	Prec@1 19.500 (10.549)	Prec@5 45.000 (27.573)
Epoch: [0][5760/9018]	Time 0.746 (0.622)	Data 0.001 (0.001)	Loss 3.7095 (4.4744)	Prec@1 17.000 (10.565)	Prec@5 42.500 (27.606)
Epoch: [0][5770/9018]	Time 0.598 (0.622)	Data 0.001 (0.001)	Loss 3.4725 (4.4727)	Prec@1 24.000 (10.582)	Prec@5 47.500 (27.643)
Epoch: [0][5780/9018]	Time 0.602 (0.622)	Data 0.001 (0.001)	Loss 3.7373 (4.4712)	Prec@1 19.500 (10.600)	Prec@5 42.000 (27.675)
Epoch: [0][5790/9018]	Time 0.634 (0.622)	Data 0.001 (0.001)	Loss 3.5379 (4.4696)	Prec@1 20.500 (10.618)	Prec@5 46.000 (27.708)
Epoch: [0][5800/9018]	Time 0.613 (0.622)	Data 0.001 (0.001)	Loss 3.6726 (4.4682)	Prec@1 17.500 (10.633)	Prec@5 42.500 (27.736)
Epoch: [0][5810/9018]	Time 0.599 (0.622)	Data 0.001 (0.001)	Loss 3.5704 (4.4666)	Prec@1 21.500 (10.651)	Prec@5 44.000 (27.771)
Epoch: [0][5820/9018]	Time 0.629 (0.621)	Data 0.001 (0.001)	Loss 3.6432 (4.4652)	Prec@1 20.500 (10.668)	Prec@5 43.000 (27.801)
Epoch: [0][5830/9018]	Time 0.599 (0.621)	Data 0.001 (0.001)	Loss 3.4658 (4.4637)	Prec@1 25.000 (10.683)	Prec@5 48.500 (27.834)
Epoch: [0][5840/9018]	Time 0.622 (0.621)	Data 0.001 (0.001)	Loss 3.5195 (4.4622)	Prec@1 23.000 (10.699)	Prec@5 52.500 (27.868)
Epoch: [0][5850/9018]	Time 0.600 (0.621)	Data 0.001 (0.001)	Loss 3.6967 (4.4605)	Prec@1 22.000 (10.719)	Prec@5 47.500 (27.902)
Epoch: [0][5860/9018]	Time 0.604 (0.621)	Data 0.001 (0.001)	Loss 3.7093 (4.4590)	Prec@1 17.500 (10.737)	Prec@5 37.500 (27.935)
Epoch: [0][5870/9018]	Time 0.627 (0.621)	Data 0.001 (0.001)	Loss 3.5394 (4.4575)	Prec@1 23.000 (10.755)	Prec@5 45.500 (27.968)
Epoch: [0][5880/9018]	Time 0.593 (0.621)	Data 0.001 (0.001)	Loss 3.5935 (4.4560)	Prec@1 18.000 (10.770)	Prec@5 48.500 (28.000)
Epoch: [0][5890/9018]	Time 0.638 (0.621)	Data 0.001 (0.001)	Loss 3.6291 (4.4544)	Prec@1 19.500 (10.789)	Prec@5 44.000 (28.034)
Epoch: [0][5900/9018]	Time 0.599 (0.621)	Data 0.001 (0.001)	Loss 3.6152 (4.4530)	Prec@1 21.000 (10.805)	Prec@5 48.000 (28.065)
Epoch: [0][5910/9018]	Time 0.633 (0.621)	Data 0.001 (0.001)	Loss 3.5198 (4.4516)	Prec@1 23.500 (10.821)	Prec@5 48.000 (28.094)
Epoch: [0][5920/9018]	Time 0.601 (0.621)	Data 0.001 (0.001)	Loss 3.7238 (4.4502)	Prec@1 23.500 (10.840)	Prec@5 46.000 (28.126)
Epoch: [0][5930/9018]	Time 0.597 (0.621)	Data 0.001 (0.001)	Loss 3.4395 (4.4487)	Prec@1 24.500 (10.857)	Prec@5 46.500 (28.158)
Epoch: [0][5940/9018]	Time 0.604 (0.621)	Data 0.001 (0.001)	Loss 3.5245 (4.4471)	Prec@1 25.500 (10.875)	Prec@5 44.000 (28.189)
Epoch: [0][5950/9018]	Time 0.623 (0.621)	Data 0.001 (0.001)	Loss 3.5850 (4.4458)	Prec@1 24.500 (10.890)	Prec@5 48.000 (28.218)
Epoch: [0][5960/9018]	Time 0.595 (0.621)	Data 0.001 (0.001)	Loss 3.5854 (4.4443)	Prec@1 22.500 (10.908)	Prec@5 49.000 (28.251)
Epoch: [0][5970/9018]	Time 0.597 (0.621)	Data 0.001 (0.001)	Loss 3.7920 (4.4429)	Prec@1 17.500 (10.924)	Prec@5 43.500 (28.284)
Epoch: [0][5980/9018]	Time 0.624 (0.621)	Data 0.001 (0.001)	Loss 3.4109 (4.4415)	Prec@1 17.500 (10.939)	Prec@5 53.000 (28.315)
Epoch: [0][5990/9018]	Time 0.600 (0.621)	Data 0.001 (0.001)	Loss 3.4585 (4.4399)	Prec@1 19.500 (10.959)	Prec@5 53.500 (28.352)
Epoch: [0][6000/9018]	Time 0.603 (0.621)	Data 0.001 (0.001)	Loss 3.5935 (4.4384)	Prec@1 17.000 (10.976)	Prec@5 45.500 (28.384)
Epoch: [0][6010/9018]	Time 0.614 (0.621)	Data 0.001 (0.001)	Loss 3.2474 (4.4369)	Prec@1 28.500 (10.995)	Prec@5 55.000 (28.417)
Epoch: [0][6020/9018]	Time 0.600 (0.621)	Data 0.001 (0.001)	Loss 3.4609 (4.4353)	Prec@1 22.500 (11.013)	Prec@5 47.000 (28.450)
Epoch: [0][6030/9018]	Time 0.596 (0.621)	Data 0.001 (0.001)	Loss 3.4230 (4.4339)	Prec@1 22.000 (11.030)	Prec@5 53.000 (28.482)
Epoch: [0][6040/9018]	Time 0.740 (0.621)	Data 0.001 (0.001)	Loss 3.5673 (4.4325)	Prec@1 21.000 (11.047)	Prec@5 48.000 (28.511)
Epoch: [0][6050/9018]	Time 0.596 (0.621)	Data 0.001 (0.001)	Loss 3.6368 (4.4310)	Prec@1 18.000 (11.065)	Prec@5 46.000 (28.542)
Epoch: [0][6060/9018]	Time 0.596 (0.621)	Data 0.001 (0.001)	Loss 3.6656 (4.4297)	Prec@1 18.500 (11.079)	Prec@5 43.000 (28.568)
Epoch: [0][6070/9018]	Time 0.594 (0.621)	Data 0.001 (0.001)	Loss 3.5023 (4.4282)	Prec@1 24.000 (11.094)	Prec@5 49.500 (28.600)
Epoch: [0][6080/9018]	Time 0.604 (0.621)	Data 0.001 (0.001)	Loss 3.4700 (4.4268)	Prec@1 22.500 (11.112)	Prec@5 51.000 (28.629)
Epoch: [0][6090/9018]	Time 0.725 (0.621)	Data 0.001 (0.001)	Loss 3.6899 (4.4253)	Prec@1 18.500 (11.129)	Prec@5 44.500 (28.661)
Epoch: [0][6100/9018]	Time 0.597 (0.621)	Data 0.001 (0.001)	Loss 3.6134 (4.4238)	Prec@1 19.000 (11.149)	Prec@5 46.500 (28.692)
Epoch: [0][6110/9018]	Time 0.596 (0.621)	Data 0.001 (0.001)	Loss 3.8592 (4.4224)	Prec@1 14.500 (11.167)	Prec@5 43.500 (28.726)
Epoch: [0][6120/9018]	Time 0.637 (0.621)	Data 0.001 (0.001)	Loss 3.6019 (4.4210)	Prec@1 20.000 (11.185)	Prec@5 47.000 (28.757)
Epoch: [0][6130/9018]	Time 0.596 (0.621)	Data 0.001 (0.001)	Loss 3.4984 (4.4196)	Prec@1 19.500 (11.200)	Prec@5 49.000 (28.785)
Epoch: [0][6140/9018]	Time 0.599 (0.621)	Data 0.001 (0.001)	Loss 3.6126 (4.4183)	Prec@1 18.500 (11.217)	Prec@5 47.500 (28.816)
Epoch: [0][6150/9018]	Time 0.629 (0.621)	Data 0.001 (0.001)	Loss 3.5292 (4.4168)	Prec@1 20.000 (11.235)	Prec@5 45.500 (28.848)
Epoch: [0][6160/9018]	Time 0.605 (0.621)	Data 0.001 (0.001)	Loss 3.3488 (4.4153)	Prec@1 25.500 (11.251)	Prec@5 55.000 (28.882)
Epoch: [0][6170/9018]	Time 0.633 (0.621)	Data 0.001 (0.001)	Loss 3.4413 (4.4139)	Prec@1 19.500 (11.266)	Prec@5 50.500 (28.911)
Epoch: [0][6180/9018]	Time 0.598 (0.621)	Data 0.001 (0.001)	Loss 3.6116 (4.4125)	Prec@1 16.000 (11.282)	Prec@5 44.500 (28.941)
Epoch: [0][6190/9018]	Time 0.617 (0.621)	Data 0.001 (0.001)	Loss 3.4179 (4.4110)	Prec@1 24.000 (11.300)	Prec@5 51.000 (28.974)
Epoch: [0][6200/9018]	Time 0.610 (0.621)	Data 0.001 (0.001)	Loss 3.7916 (4.4095)	Prec@1 18.000 (11.314)	Prec@5 43.500 (29.005)
Epoch: [0][6210/9018]	Time 0.615 (0.621)	Data 0.001 (0.001)	Loss 3.3442 (4.4081)	Prec@1 21.000 (11.330)	Prec@5 56.000 (29.036)
Epoch: [0][6220/9018]	Time 0.638 (0.621)	Data 0.001 (0.001)	Loss 3.4734 (4.4067)	Prec@1 22.500 (11.345)	Prec@5 51.000 (29.065)
Epoch: [0][6230/9018]	Time 0.605 (0.621)	Data 0.001 (0.001)	Loss 3.3783 (4.4054)	Prec@1 21.000 (11.362)	Prec@5 49.500 (29.094)
Epoch: [0][6240/9018]	Time 0.601 (0.621)	Data 0.001 (0.001)	Loss 3.4149 (4.4039)	Prec@1 24.500 (11.379)	Prec@5 50.500 (29.127)
Epoch: [0][6250/9018]	Time 0.613 (0.621)	Data 0.001 (0.001)	Loss 3.4376 (4.4026)	Prec@1 25.000 (11.394)	Prec@5 48.000 (29.155)
Epoch: [0][6260/9018]	Time 0.601 (0.621)	Data 0.001 (0.001)	Loss 3.7989 (4.4013)	Prec@1 24.000 (11.408)	Prec@5 47.000 (29.184)
Epoch: [0][6270/9018]	Time 0.608 (0.621)	Data 0.001 (0.001)	Loss 3.6368 (4.4000)	Prec@1 20.500 (11.425)	Prec@5 49.500 (29.216)
Epoch: [0][6280/9018]	Time 0.623 (0.621)	Data 0.001 (0.001)	Loss 3.4978 (4.3986)	Prec@1 21.000 (11.440)	Prec@5 47.000 (29.246)
Epoch: [0][6290/9018]	Time 0.602 (0.621)	Data 0.001 (0.001)	Loss 3.5851 (4.3972)	Prec@1 19.000 (11.458)	Prec@5 47.000 (29.278)
Epoch: [0][6300/9018]	Time 0.605 (0.621)	Data 0.001 (0.001)	Loss 3.5381 (4.3958)	Prec@1 19.000 (11.471)	Prec@5 41.500 (29.308)
Epoch: [0][6310/9018]	Time 0.606 (0.621)	Data 0.001 (0.001)	Loss 3.7439 (4.3946)	Prec@1 18.500 (11.483)	Prec@5 47.000 (29.335)
Epoch: [0][6320/9018]	Time 0.633 (0.621)	Data 0.001 (0.001)	Loss 3.7144 (4.3933)	Prec@1 17.500 (11.497)	Prec@5 46.000 (29.363)
Epoch: [0][6330/9018]	Time 0.603 (0.621)	Data 0.001 (0.001)	Loss 3.5984 (4.3919)	Prec@1 23.500 (11.514)	Prec@5 45.500 (29.393)
Epoch: [0][6340/9018]	Time 0.594 (0.621)	Data 0.001 (0.001)	Loss 3.5776 (4.3905)	Prec@1 20.500 (11.530)	Prec@5 46.000 (29.422)
Epoch: [0][6350/9018]	Time 0.622 (0.621)	Data 0.001 (0.001)	Loss 3.4975 (4.3891)	Prec@1 21.000 (11.545)	Prec@5 47.000 (29.452)
Epoch: [0][6360/9018]	Time 0.605 (0.621)	Data 0.001 (0.001)	Loss 3.5465 (4.3877)	Prec@1 17.000 (11.562)	Prec@5 50.000 (29.482)
Epoch: [0][6370/9018]	Time 0.742 (0.621)	Data 0.001 (0.001)	Loss 3.5989 (4.3862)	Prec@1 22.000 (11.580)	Prec@5 47.000 (29.514)
Epoch: [0][6380/9018]	Time 0.608 (0.621)	Data 0.001 (0.001)	Loss 3.2545 (4.3847)	Prec@1 24.000 (11.599)	Prec@5 56.000 (29.547)
Epoch: [0][6390/9018]	Time 0.610 (0.621)	Data 0.001 (0.001)	Loss 3.5457 (4.3833)	Prec@1 19.000 (11.614)	Prec@5 50.000 (29.579)
Epoch: [0][6400/9018]	Time 0.599 (0.621)	Data 0.001 (0.001)	Loss 3.5119 (4.3819)	Prec@1 17.000 (11.628)	Prec@5 48.500 (29.608)
Epoch: [0][6410/9018]	Time 0.596 (0.621)	Data 0.001 (0.001)	Loss 3.7420 (4.3804)	Prec@1 17.000 (11.647)	Prec@5 42.500 (29.638)
Epoch: [0][6420/9018]	Time 0.714 (0.621)	Data 0.001 (0.001)	Loss 3.3752 (4.3790)	Prec@1 25.000 (11.665)	Prec@5 50.500 (29.667)
Epoch: [0][6430/9018]	Time 0.607 (0.621)	Data 0.001 (0.001)	Loss 3.3104 (4.3777)	Prec@1 27.500 (11.681)	Prec@5 48.500 (29.693)
Epoch: [0][6440/9018]	Time 0.596 (0.621)	Data 0.001 (0.001)	Loss 3.4921 (4.3764)	Prec@1 21.000 (11.695)	Prec@5 49.000 (29.721)
Epoch: [0][6450/9018]	Time 0.596 (0.621)	Data 0.001 (0.001)	Loss 3.3574 (4.3751)	Prec@1 23.000 (11.710)	Prec@5 53.500 (29.750)
Epoch: [0][6460/9018]	Time 0.596 (0.621)	Data 0.001 (0.001)	Loss 3.6754 (4.3738)	Prec@1 20.000 (11.725)	Prec@5 44.000 (29.778)
Epoch: [0][6470/9018]	Time 0.626 (0.621)	Data 0.001 (0.001)	Loss 3.5891 (4.3725)	Prec@1 24.000 (11.741)	Prec@5 49.000 (29.805)
Epoch: [0][6480/9018]	Time 0.593 (0.621)	Data 0.001 (0.001)	Loss 3.7092 (4.3712)	Prec@1 17.000 (11.756)	Prec@5 44.000 (29.833)
Epoch: [0][6490/9018]	Time 0.602 (0.621)	Data 0.001 (0.001)	Loss 3.4070 (4.3698)	Prec@1 24.000 (11.773)	Prec@5 50.000 (29.863)
Epoch: [0][6500/9018]	Time 0.602 (0.621)	Data 0.001 (0.001)	Loss 3.4432 (4.3683)	Prec@1 22.000 (11.790)	Prec@5 49.500 (29.893)
Epoch: [0][6510/9018]	Time 0.601 (0.621)	Data 0.001 (0.001)	Loss 3.5401 (4.3670)	Prec@1 17.000 (11.805)	Prec@5 42.500 (29.919)
Epoch: [0][6520/9018]	Time 0.621 (0.621)	Data 0.001 (0.001)	Loss 3.6034 (4.3656)	Prec@1 24.500 (11.822)	Prec@5 45.000 (29.950)
Epoch: [0][6530/9018]	Time 0.596 (0.621)	Data 0.001 (0.001)	Loss 3.6952 (4.3644)	Prec@1 16.500 (11.835)	Prec@5 41.500 (29.977)
Epoch: [0][6540/9018]	Time 0.594 (0.621)	Data 0.001 (0.001)	Loss 3.2769 (4.3629)	Prec@1 27.000 (11.851)	Prec@5 53.500 (30.009)
Epoch: [0][6550/9018]	Time 0.602 (0.621)	Data 0.001 (0.001)	Loss 3.4780 (4.3616)	Prec@1 23.000 (11.865)	Prec@5 48.500 (30.038)
Epoch: [0][6560/9018]	Time 0.601 (0.621)	Data 0.001 (0.001)	Loss 3.4854 (4.3602)	Prec@1 16.500 (11.881)	Prec@5 46.000 (30.069)
Epoch: [0][6570/9018]	Time 0.604 (0.621)	Data 0.001 (0.001)	Loss 3.7059 (4.3588)	Prec@1 18.000 (11.897)	Prec@5 42.500 (30.098)
Epoch: [0][6580/9018]	Time 0.607 (0.621)	Data 0.001 (0.001)	Loss 3.3316 (4.3574)	Prec@1 25.500 (11.913)	Prec@5 50.500 (30.130)
Epoch: [0][6590/9018]	Time 0.595 (0.621)	Data 0.001 (0.001)	Loss 3.3197 (4.3561)	Prec@1 27.000 (11.931)	Prec@5 52.000 (30.160)
Epoch: [0][6600/9018]	Time 0.639 (0.621)	Data 0.001 (0.001)	Loss 3.6500 (4.3547)	Prec@1 24.000 (11.949)	Prec@5 49.000 (30.190)
Epoch: [0][6610/9018]	Time 0.607 (0.621)	Data 0.001 (0.001)	Loss 3.3655 (4.3534)	Prec@1 23.500 (11.966)	Prec@5 52.500 (30.219)
Epoch: [0][6620/9018]	Time 0.625 (0.621)	Data 0.001 (0.001)	Loss 3.4775 (4.3521)	Prec@1 23.000 (11.980)	Prec@5 50.000 (30.245)
Epoch: [0][6630/9018]	Time 0.600 (0.621)	Data 0.001 (0.001)	Loss 3.5115 (4.3508)	Prec@1 22.500 (11.995)	Prec@5 49.000 (30.274)
Epoch: [0][6640/9018]	Time 0.605 (0.621)	Data 0.001 (0.001)	Loss 3.5572 (4.3495)	Prec@1 22.500 (12.011)	Prec@5 53.500 (30.304)
Epoch: [0][6650/9018]	Time 0.605 (0.621)	Data 0.001 (0.001)	Loss 3.5247 (4.3483)	Prec@1 21.500 (12.027)	Prec@5 47.000 (30.332)
Epoch: [0][6660/9018]	Time 0.604 (0.621)	Data 0.001 (0.001)	Loss 3.6191 (4.3470)	Prec@1 19.000 (12.041)	Prec@5 48.000 (30.359)
Epoch: [0][6670/9018]	Time 0.622 (0.621)	Data 0.001 (0.001)	Loss 3.4936 (4.3457)	Prec@1 21.000 (12.055)	Prec@5 46.500 (30.386)
Epoch: [0][6680/9018]	Time 0.607 (0.621)	Data 0.001 (0.001)	Loss 3.6209 (4.3444)	Prec@1 19.500 (12.070)	Prec@5 43.500 (30.412)
Epoch: [0][6690/9018]	Time 0.594 (0.621)	Data 0.001 (0.001)	Loss 3.1974 (4.3430)	Prec@1 30.000 (12.087)	Prec@5 53.500 (30.442)
Epoch: [0][6700/9018]	Time 0.747 (0.621)	Data 0.001 (0.001)	Loss 3.4085 (4.3418)	Prec@1 23.500 (12.100)	Prec@5 50.500 (30.467)
Epoch: [0][6710/9018]	Time 0.606 (0.621)	Data 0.001 (0.001)	Loss 3.6553 (4.3406)	Prec@1 18.500 (12.115)	Prec@5 45.500 (30.493)
Epoch: [0][6720/9018]	Time 0.610 (0.621)	Data 0.001 (0.001)	Loss 3.2863 (4.3393)	Prec@1 22.000 (12.130)	Prec@5 52.500 (30.521)
Epoch: [0][6730/9018]	Time 0.643 (0.621)	Data 0.001 (0.001)	Loss 3.4885 (4.3379)	Prec@1 22.000 (12.144)	Prec@5 49.000 (30.553)
Epoch: [0][6740/9018]	Time 0.599 (0.621)	Data 0.001 (0.001)	Loss 3.4455 (4.3366)	Prec@1 23.000 (12.161)	Prec@5 51.000 (30.584)
Epoch: [0][6750/9018]	Time 0.746 (0.621)	Data 0.001 (0.001)	Loss 3.2724 (4.3352)	Prec@1 21.500 (12.177)	Prec@5 50.500 (30.612)
Epoch: [0][6760/9018]	Time 0.594 (0.621)	Data 0.001 (0.001)	Loss 3.5060 (4.3339)	Prec@1 24.500 (12.193)	Prec@5 47.500 (30.640)
Epoch: [0][6770/9018]	Time 0.592 (0.620)	Data 0.001 (0.001)	Loss 3.7757 (4.3327)	Prec@1 21.000 (12.208)	Prec@5 47.000 (30.667)
Epoch: [0][6780/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 3.6146 (4.3314)	Prec@1 22.500 (12.225)	Prec@5 47.000 (30.697)
Epoch: [0][6790/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 3.3858 (4.3300)	Prec@1 24.500 (12.242)	Prec@5 48.000 (30.726)
Epoch: [0][6800/9018]	Time 0.595 (0.620)	Data 0.001 (0.001)	Loss 3.4959 (4.3287)	Prec@1 25.500 (12.258)	Prec@5 50.500 (30.752)
Epoch: [0][6810/9018]	Time 0.630 (0.620)	Data 0.001 (0.001)	Loss 3.4443 (4.3274)	Prec@1 20.500 (12.275)	Prec@5 48.000 (30.781)
Epoch: [0][6820/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 3.4236 (4.3261)	Prec@1 27.000 (12.290)	Prec@5 51.500 (30.810)
Epoch: [0][6830/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 3.4136 (4.3249)	Prec@1 23.000 (12.304)	Prec@5 51.500 (30.836)
Epoch: [0][6840/9018]	Time 0.601 (0.620)	Data 0.001 (0.001)	Loss 3.3748 (4.3235)	Prec@1 24.500 (12.321)	Prec@5 53.500 (30.866)
Epoch: [0][6850/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 3.2514 (4.3222)	Prec@1 26.500 (12.335)	Prec@5 59.000 (30.893)
Epoch: [0][6860/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 3.7176 (4.3211)	Prec@1 21.500 (12.350)	Prec@5 45.000 (30.919)
Epoch: [0][6870/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 3.4676 (4.3199)	Prec@1 25.500 (12.367)	Prec@5 49.500 (30.946)
Epoch: [0][6880/9018]	Time 0.596 (0.620)	Data 0.001 (0.001)	Loss 3.6863 (4.3187)	Prec@1 23.000 (12.383)	Prec@5 48.000 (30.971)
Epoch: [0][6890/9018]	Time 0.604 (0.620)	Data 0.001 (0.001)	Loss 3.4709 (4.3173)	Prec@1 22.500 (12.399)	Prec@5 49.000 (31.000)
Epoch: [0][6900/9018]	Time 0.598 (0.620)	Data 0.001 (0.001)	Loss 3.3158 (4.3161)	Prec@1 28.500 (12.414)	Prec@5 48.500 (31.026)
Epoch: [0][6910/9018]	Time 0.630 (0.620)	Data 0.001 (0.001)	Loss 3.4076 (4.3148)	Prec@1 20.500 (12.428)	Prec@5 50.500 (31.052)
Epoch: [0][6920/9018]	Time 0.596 (0.620)	Data 0.001 (0.001)	Loss 3.3537 (4.3136)	Prec@1 25.000 (12.443)	Prec@5 53.000 (31.079)
Epoch: [0][6930/9018]	Time 0.603 (0.620)	Data 0.001 (0.001)	Loss 3.5690 (4.3124)	Prec@1 21.000 (12.458)	Prec@5 46.500 (31.103)
Epoch: [0][6940/9018]	Time 0.599 (0.620)	Data 0.001 (0.001)	Loss 3.6242 (4.3110)	Prec@1 20.500 (12.474)	Prec@5 45.000 (31.132)
Epoch: [0][6950/9018]	Time 0.594 (0.620)	Data 0.001 (0.001)	Loss 3.4113 (4.3097)	Prec@1 20.500 (12.490)	Prec@5 47.000 (31.162)
Epoch: [0][6960/9018]	Time 0.622 (0.620)	Data 0.001 (0.001)	Loss 3.3366 (4.3084)	Prec@1 23.500 (12.503)	Prec@5 50.500 (31.191)
Epoch: [0][6970/9018]	Time 0.595 (0.620)	Data 0.001 (0.001)	Loss 3.3196 (4.3071)	Prec@1 25.500 (12.520)	Prec@5 53.500 (31.219)
Epoch: [0][6980/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 3.0733 (4.3058)	Prec@1 25.000 (12.536)	Prec@5 62.000 (31.245)
Epoch: [0][6990/9018]	Time 0.597 (0.620)	Data 0.001 (0.001)	Loss 3.3671 (4.3046)	Prec@1 24.500 (12.551)	Prec@5 51.500 (31.272)
Epoch: [0][7000/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 3.4391 (4.3033)	Prec@1 22.000 (12.566)	Prec@5 51.000 (31.299)
Epoch: [0][7010/9018]	Time 0.628 (0.620)	Data 0.001 (0.001)	Loss 3.4397 (4.3020)	Prec@1 22.000 (12.583)	Prec@5 49.500 (31.328)
Epoch: [0][7020/9018]	Time 0.601 (0.620)	Data 0.001 (0.001)	Loss 3.3003 (4.3007)	Prec@1 24.500 (12.598)	Prec@5 55.000 (31.356)
Epoch: [0][7030/9018]	Time 0.734 (0.620)	Data 0.001 (0.001)	Loss 3.5448 (4.2996)	Prec@1 22.500 (12.612)	Prec@5 46.500 (31.382)
Epoch: [0][7040/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 3.4800 (4.2983)	Prec@1 21.000 (12.627)	Prec@5 49.500 (31.410)
Epoch: [0][7050/9018]	Time 0.618 (0.620)	Data 0.001 (0.001)	Loss 3.4201 (4.2970)	Prec@1 19.500 (12.641)	Prec@5 47.000 (31.438)
Epoch: [0][7060/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 3.3681 (4.2957)	Prec@1 27.000 (12.658)	Prec@5 52.000 (31.467)
Epoch: [0][7070/9018]	Time 0.594 (0.620)	Data 0.001 (0.001)	Loss 3.3766 (4.2945)	Prec@1 21.500 (12.673)	Prec@5 50.500 (31.494)
Epoch: [0][7080/9018]	Time 0.747 (0.620)	Data 0.001 (0.001)	Loss 3.3490 (4.2932)	Prec@1 24.500 (12.686)	Prec@5 51.500 (31.521)
Epoch: [0][7090/9018]	Time 0.597 (0.620)	Data 0.001 (0.001)	Loss 3.3259 (4.2919)	Prec@1 24.000 (12.702)	Prec@5 50.500 (31.549)
Epoch: [0][7100/9018]	Time 0.628 (0.620)	Data 0.001 (0.001)	Loss 3.3955 (4.2906)	Prec@1 19.000 (12.716)	Prec@5 53.000 (31.578)
Epoch: [0][7110/9018]	Time 0.594 (0.620)	Data 0.001 (0.001)	Loss 3.4725 (4.2894)	Prec@1 24.000 (12.731)	Prec@5 49.000 (31.607)
Epoch: [0][7120/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 3.5466 (4.2882)	Prec@1 22.000 (12.746)	Prec@5 43.500 (31.632)
Epoch: [0][7130/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 3.3888 (4.2870)	Prec@1 22.500 (12.759)	Prec@5 53.000 (31.657)
Epoch: [0][7140/9018]	Time 0.594 (0.620)	Data 0.001 (0.001)	Loss 3.3583 (4.2858)	Prec@1 24.000 (12.771)	Prec@5 50.500 (31.680)
Epoch: [0][7150/9018]	Time 0.590 (0.620)	Data 0.001 (0.001)	Loss 3.5311 (4.2847)	Prec@1 23.500 (12.786)	Prec@5 51.000 (31.707)
Epoch: [0][7160/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 3.4796 (4.2835)	Prec@1 23.000 (12.801)	Prec@5 48.000 (31.732)
Epoch: [0][7170/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 3.6672 (4.2823)	Prec@1 21.000 (12.814)	Prec@5 49.000 (31.758)
Epoch: [0][7180/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 3.4011 (4.2812)	Prec@1 23.500 (12.827)	Prec@5 47.500 (31.783)
Epoch: [0][7190/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 3.4851 (4.2799)	Prec@1 23.500 (12.842)	Prec@5 49.500 (31.811)
Epoch: [0][7200/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 3.1518 (4.2788)	Prec@1 27.000 (12.858)	Prec@5 55.500 (31.835)
Epoch: [0][7210/9018]	Time 0.595 (0.620)	Data 0.001 (0.001)	Loss 3.2612 (4.2776)	Prec@1 23.000 (12.871)	Prec@5 54.000 (31.860)
Epoch: [0][7220/9018]	Time 0.600 (0.620)	Data 0.001 (0.001)	Loss 3.3901 (4.2765)	Prec@1 29.000 (12.886)	Prec@5 54.500 (31.885)
Epoch: [0][7230/9018]	Time 0.597 (0.620)	Data 0.001 (0.001)	Loss 3.5231 (4.2753)	Prec@1 24.500 (12.900)	Prec@5 50.000 (31.911)
Epoch: [0][7240/9018]	Time 0.604 (0.620)	Data 0.001 (0.001)	Loss 3.3530 (4.2741)	Prec@1 28.500 (12.912)	Prec@5 55.000 (31.940)
Epoch: [0][7250/9018]	Time 0.601 (0.620)	Data 0.001 (0.001)	Loss 3.5648 (4.2729)	Prec@1 19.500 (12.927)	Prec@5 47.500 (31.966)
Epoch: [0][7260/9018]	Time 0.603 (0.620)	Data 0.001 (0.001)	Loss 3.4954 (4.2716)	Prec@1 24.000 (12.941)	Prec@5 49.000 (31.991)
Epoch: [0][7270/9018]	Time 0.619 (0.620)	Data 0.001 (0.001)	Loss 3.3496 (4.2705)	Prec@1 26.500 (12.956)	Prec@5 55.000 (32.018)
Epoch: [0][7280/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 3.4359 (4.2693)	Prec@1 25.000 (12.970)	Prec@5 53.000 (32.045)
Epoch: [0][7290/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 3.5511 (4.2681)	Prec@1 23.000 (12.985)	Prec@5 46.500 (32.070)
Epoch: [0][7300/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 3.2625 (4.2669)	Prec@1 27.000 (13.002)	Prec@5 53.000 (32.095)
Epoch: [0][7310/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 3.3549 (4.2657)	Prec@1 25.000 (13.017)	Prec@5 55.000 (32.121)
Epoch: [0][7320/9018]	Time 0.594 (0.620)	Data 0.001 (0.001)	Loss 3.2826 (4.2645)	Prec@1 28.000 (13.032)	Prec@5 56.500 (32.147)
Epoch: [0][7330/9018]	Time 0.618 (0.620)	Data 0.001 (0.001)	Loss 3.4484 (4.2632)	Prec@1 22.000 (13.047)	Prec@5 50.000 (32.175)
Epoch: [0][7340/9018]	Time 0.598 (0.620)	Data 0.001 (0.001)	Loss 3.2275 (4.2620)	Prec@1 30.500 (13.062)	Prec@5 56.000 (32.200)
Epoch: [0][7350/9018]	Time 0.597 (0.620)	Data 0.001 (0.001)	Loss 3.2751 (4.2609)	Prec@1 24.500 (13.077)	Prec@5 56.000 (32.225)
Epoch: [0][7360/9018]	Time 0.755 (0.620)	Data 0.001 (0.001)	Loss 3.4271 (4.2597)	Prec@1 21.500 (13.091)	Prec@5 51.500 (32.249)
Epoch: [0][7370/9018]	Time 0.598 (0.620)	Data 0.001 (0.001)	Loss 3.4040 (4.2585)	Prec@1 22.000 (13.106)	Prec@5 52.000 (32.276)
Epoch: [0][7380/9018]	Time 0.599 (0.620)	Data 0.001 (0.001)	Loss 3.4322 (4.2573)	Prec@1 24.500 (13.119)	Prec@5 51.500 (32.301)
Epoch: [0][7390/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 3.2987 (4.2562)	Prec@1 21.500 (13.132)	Prec@5 53.000 (32.326)
Epoch: [0][7400/9018]	Time 0.604 (0.620)	Data 0.001 (0.001)	Loss 3.3864 (4.2551)	Prec@1 24.000 (13.147)	Prec@5 49.500 (32.352)
Epoch: [0][7410/9018]	Time 0.748 (0.620)	Data 0.001 (0.001)	Loss 3.6086 (4.2538)	Prec@1 17.000 (13.162)	Prec@5 50.000 (32.380)
Epoch: [0][7420/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 3.5054 (4.2527)	Prec@1 20.000 (13.173)	Prec@5 49.000 (32.404)
Epoch: [0][7430/9018]	Time 0.594 (0.620)	Data 0.001 (0.001)	Loss 3.4217 (4.2516)	Prec@1 26.000 (13.186)	Prec@5 50.000 (32.427)
Epoch: [0][7440/9018]	Time 0.602 (0.620)	Data 0.001 (0.001)	Loss 3.6334 (4.2505)	Prec@1 17.000 (13.201)	Prec@5 45.500 (32.452)
Epoch: [0][7450/9018]	Time 0.598 (0.620)	Data 0.001 (0.001)	Loss 3.2266 (4.2492)	Prec@1 26.000 (13.217)	Prec@5 58.500 (32.481)
Epoch: [0][7460/9018]	Time 0.639 (0.620)	Data 0.001 (0.001)	Loss 3.1804 (4.2480)	Prec@1 25.000 (13.231)	Prec@5 56.500 (32.510)
Epoch: [0][7470/9018]	Time 0.594 (0.620)	Data 0.001 (0.001)	Loss 3.5808 (4.2468)	Prec@1 21.500 (13.245)	Prec@5 48.000 (32.536)
Epoch: [0][7480/9018]	Time 0.598 (0.620)	Data 0.001 (0.001)	Loss 3.3351 (4.2457)	Prec@1 22.500 (13.257)	Prec@5 50.500 (32.560)
Epoch: [0][7490/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 3.3517 (4.2446)	Prec@1 25.000 (13.271)	Prec@5 53.000 (32.584)
Epoch: [0][7500/9018]	Time 0.601 (0.620)	Data 0.001 (0.001)	Loss 3.4609 (4.2436)	Prec@1 19.500 (13.285)	Prec@5 51.500 (32.607)
Epoch: [0][7510/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 3.3337 (4.2424)	Prec@1 27.500 (13.299)	Prec@5 53.000 (32.633)
Epoch: [0][7520/9018]	Time 0.627 (0.620)	Data 0.001 (0.001)	Loss 3.2757 (4.2411)	Prec@1 28.000 (13.315)	Prec@5 56.500 (32.660)
Epoch: [0][7530/9018]	Time 0.599 (0.620)	Data 0.001 (0.001)	Loss 3.2129 (4.2399)	Prec@1 26.000 (13.329)	Prec@5 55.000 (32.687)
Epoch: [0][7540/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 3.6365 (4.2389)	Prec@1 18.500 (13.340)	Prec@5 43.000 (32.710)
Epoch: [0][7550/9018]	Time 0.602 (0.620)	Data 0.001 (0.001)	Loss 3.3128 (4.2377)	Prec@1 24.500 (13.355)	Prec@5 52.000 (32.737)
Epoch: [0][7560/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 3.2296 (4.2365)	Prec@1 27.500 (13.369)	Prec@5 54.500 (32.761)
Epoch: [0][7570/9018]	Time 0.639 (0.620)	Data 0.001 (0.001)	Loss 3.3590 (4.2353)	Prec@1 26.000 (13.383)	Prec@5 48.500 (32.784)
Epoch: [0][7580/9018]	Time 0.600 (0.620)	Data 0.001 (0.001)	Loss 3.1647 (4.2342)	Prec@1 28.500 (13.397)	Prec@5 54.500 (32.808)
Epoch: [0][7590/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 3.4611 (4.2331)	Prec@1 26.000 (13.411)	Prec@5 50.000 (32.831)
Epoch: [0][7600/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 3.3658 (4.2320)	Prec@1 20.500 (13.424)	Prec@5 51.500 (32.855)
Epoch: [0][7610/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 3.2935 (4.2309)	Prec@1 22.500 (13.437)	Prec@5 54.500 (32.879)
Epoch: [0][7620/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 3.2195 (4.2298)	Prec@1 22.500 (13.450)	Prec@5 56.000 (32.903)
Epoch: [0][7630/9018]	Time 0.600 (0.620)	Data 0.001 (0.001)	Loss 3.4369 (4.2287)	Prec@1 21.000 (13.464)	Prec@5 53.500 (32.926)
Epoch: [0][7640/9018]	Time 0.626 (0.620)	Data 0.001 (0.001)	Loss 3.3061 (4.2275)	Prec@1 25.500 (13.477)	Prec@5 56.000 (32.949)
Epoch: [0][7650/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 3.6375 (4.2265)	Prec@1 22.000 (13.491)	Prec@5 46.500 (32.972)
Epoch: [0][7660/9018]	Time 0.595 (0.620)	Data 0.001 (0.001)	Loss 3.1178 (4.2253)	Prec@1 24.500 (13.504)	Prec@5 58.500 (32.995)
Epoch: [0][7670/9018]	Time 0.633 (0.620)	Data 0.001 (0.001)	Loss 3.2766 (4.2242)	Prec@1 22.000 (13.516)	Prec@5 51.000 (33.017)
Epoch: [0][7680/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 3.2232 (4.2232)	Prec@1 27.500 (13.529)	Prec@5 54.000 (33.040)
Epoch: [0][7690/9018]	Time 0.744 (0.620)	Data 0.001 (0.001)	Loss 3.2148 (4.2220)	Prec@1 25.500 (13.543)	Prec@5 56.000 (33.066)
Epoch: [0][7700/9018]	Time 0.596 (0.620)	Data 0.001 (0.001)	Loss 3.1803 (4.2209)	Prec@1 25.000 (13.556)	Prec@5 56.500 (33.091)
Epoch: [0][7710/9018]	Time 0.625 (0.620)	Data 0.001 (0.001)	Loss 3.2824 (4.2198)	Prec@1 25.500 (13.569)	Prec@5 52.500 (33.114)
Epoch: [0][7720/9018]	Time 0.596 (0.620)	Data 0.001 (0.001)	Loss 3.3898 (4.2188)	Prec@1 27.000 (13.582)	Prec@5 55.000 (33.136)
Epoch: [0][7730/9018]	Time 0.600 (0.620)	Data 0.001 (0.001)	Loss 3.4373 (4.2176)	Prec@1 23.000 (13.596)	Prec@5 49.500 (33.162)
Epoch: [0][7740/9018]	Time 0.746 (0.620)	Data 0.001 (0.001)	Loss 3.4998 (4.2165)	Prec@1 24.000 (13.610)	Prec@5 49.500 (33.184)
Epoch: [0][7750/9018]	Time 0.590 (0.620)	Data 0.001 (0.001)	Loss 3.4718 (4.2154)	Prec@1 22.000 (13.624)	Prec@5 50.000 (33.207)
Epoch: [0][7760/9018]	Time 0.600 (0.620)	Data 0.001 (0.001)	Loss 3.3693 (4.2143)	Prec@1 26.500 (13.638)	Prec@5 51.500 (33.232)
Epoch: [0][7770/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 3.2577 (4.2131)	Prec@1 24.000 (13.651)	Prec@5 54.000 (33.258)
Epoch: [0][7780/9018]	Time 0.602 (0.620)	Data 0.001 (0.001)	Loss 3.2506 (4.2120)	Prec@1 28.500 (13.666)	Prec@5 54.000 (33.283)
Epoch: [0][7790/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 3.2385 (4.2109)	Prec@1 22.500 (13.680)	Prec@5 56.500 (33.308)
Epoch: [0][7800/9018]	Time 0.602 (0.620)	Data 0.001 (0.001)	Loss 3.2000 (4.2098)	Prec@1 23.500 (13.693)	Prec@5 56.500 (33.332)
Epoch: [0][7810/9018]	Time 0.618 (0.620)	Data 0.001 (0.001)	Loss 3.3306 (4.2086)	Prec@1 26.000 (13.708)	Prec@5 49.500 (33.358)
Epoch: [0][7820/9018]	Time 0.630 (0.620)	Data 0.001 (0.001)	Loss 3.3840 (4.2075)	Prec@1 27.000 (13.722)	Prec@5 48.500 (33.382)
Epoch: [0][7830/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 3.3869 (4.2064)	Prec@1 24.500 (13.736)	Prec@5 50.000 (33.407)
Epoch: [0][7840/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 3.2124 (4.2052)	Prec@1 27.500 (13.751)	Prec@5 54.500 (33.434)
Epoch: [0][7850/9018]	Time 0.598 (0.620)	Data 0.001 (0.001)	Loss 3.5144 (4.2041)	Prec@1 23.000 (13.764)	Prec@5 46.500 (33.458)
Epoch: [0][7860/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 3.3259 (4.2030)	Prec@1 27.000 (13.779)	Prec@5 53.500 (33.484)
Epoch: [0][7870/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 3.2480 (4.2018)	Prec@1 28.500 (13.792)	Prec@5 51.000 (33.508)
Epoch: [0][7880/9018]	Time 0.626 (0.620)	Data 0.001 (0.001)	Loss 3.5991 (4.2007)	Prec@1 22.500 (13.805)	Prec@5 48.000 (33.530)
Epoch: [0][7890/9018]	Time 0.632 (0.620)	Data 0.001 (0.001)	Loss 3.2293 (4.1996)	Prec@1 27.000 (13.819)	Prec@5 52.000 (33.554)
Epoch: [0][7900/9018]	Time 0.604 (0.620)	Data 0.001 (0.001)	Loss 3.1725 (4.1985)	Prec@1 30.000 (13.834)	Prec@5 54.500 (33.577)
Epoch: [0][7910/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 3.3666 (4.1974)	Prec@1 19.000 (13.846)	Prec@5 50.500 (33.599)
Epoch: [0][7920/9018]	Time 0.604 (0.620)	Data 0.001 (0.001)	Loss 3.2133 (4.1963)	Prec@1 27.000 (13.861)	Prec@5 56.000 (33.623)
Epoch: [0][7930/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 3.4420 (4.1952)	Prec@1 21.500 (13.874)	Prec@5 49.000 (33.646)
Epoch: [0][7940/9018]	Time 0.592 (0.620)	Data 0.001 (0.001)	Loss 3.4452 (4.1942)	Prec@1 20.000 (13.886)	Prec@5 45.500 (33.669)
Epoch: [0][7950/9018]	Time 0.625 (0.620)	Data 0.001 (0.001)	Loss 3.3168 (4.1932)	Prec@1 24.500 (13.898)	Prec@5 52.000 (33.692)
Epoch: [0][7960/9018]	Time 0.596 (0.620)	Data 0.001 (0.001)	Loss 3.1407 (4.1921)	Prec@1 23.500 (13.912)	Prec@5 55.000 (33.716)
Epoch: [0][7970/9018]	Time 0.600 (0.620)	Data 0.001 (0.001)	Loss 3.4557 (4.1910)	Prec@1 23.000 (13.927)	Prec@5 45.000 (33.740)
Epoch: [0][7980/9018]	Time 0.597 (0.620)	Data 0.001 (0.001)	Loss 3.2541 (4.1899)	Prec@1 26.500 (13.941)	Prec@5 56.000 (33.764)
Epoch: [0][7990/9018]	Time 0.604 (0.620)	Data 0.001 (0.001)	Loss 3.4163 (4.1889)	Prec@1 18.500 (13.950)	Prec@5 49.000 (33.785)
Epoch: [0][8000/9018]	Time 0.625 (0.620)	Data 0.001 (0.001)	Loss 3.2881 (4.1878)	Prec@1 28.500 (13.966)	Prec@5 52.500 (33.809)
Epoch: [0][8010/9018]	Time 0.603 (0.620)	Data 0.001 (0.001)	Loss 3.3263 (4.1867)	Prec@1 24.000 (13.980)	Prec@5 54.000 (33.833)
Epoch: [0][8020/9018]	Time 0.732 (0.620)	Data 0.001 (0.001)	Loss 3.3128 (4.1857)	Prec@1 24.000 (13.992)	Prec@5 57.000 (33.856)
Epoch: [0][8030/9018]	Time 0.600 (0.620)	Data 0.001 (0.001)	Loss 3.0652 (4.1845)	Prec@1 35.000 (14.008)	Prec@5 58.000 (33.882)
Epoch: [0][8040/9018]	Time 0.626 (0.620)	Data 0.001 (0.001)	Loss 3.1520 (4.1835)	Prec@1 23.000 (14.020)	Prec@5 57.500 (33.904)
Epoch: [0][8050/9018]	Time 0.603 (0.620)	Data 0.001 (0.001)	Loss 3.2666 (4.1825)	Prec@1 24.000 (14.033)	Prec@5 54.500 (33.927)
Epoch: [0][8060/9018]	Time 0.600 (0.620)	Data 0.001 (0.001)	Loss 3.4044 (4.1814)	Prec@1 21.500 (14.046)	Prec@5 51.500 (33.950)
Epoch: [0][8070/9018]	Time 0.739 (0.620)	Data 0.001 (0.001)	Loss 3.2209 (4.1804)	Prec@1 26.000 (14.058)	Prec@5 53.500 (33.971)
Epoch: [0][8080/9018]	Time 0.600 (0.620)	Data 0.001 (0.001)	Loss 3.4097 (4.1794)	Prec@1 20.000 (14.070)	Prec@5 51.000 (33.993)
Epoch: [0][8090/9018]	Time 0.601 (0.620)	Data 0.001 (0.001)	Loss 3.4898 (4.1783)	Prec@1 22.500 (14.083)	Prec@5 47.500 (34.016)
Epoch: [0][8100/9018]	Time 0.592 (0.620)	Data 0.001 (0.001)	Loss 3.2789 (4.1772)	Prec@1 29.500 (14.096)	Prec@5 56.000 (34.039)
Epoch: [0][8110/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 3.3070 (4.1762)	Prec@1 18.000 (14.107)	Prec@5 53.500 (34.060)
Epoch: [0][8120/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 3.0163 (4.1751)	Prec@1 30.500 (14.123)	Prec@5 60.500 (34.086)
Epoch: [0][8130/9018]	Time 0.601 (0.620)	Data 0.001 (0.001)	Loss 3.3420 (4.1740)	Prec@1 27.500 (14.137)	Prec@5 51.500 (34.111)
Epoch: [0][8140/9018]	Time 0.593 (0.620)	Data 0.001 (0.001)	Loss 3.2345 (4.1730)	Prec@1 26.000 (14.150)	Prec@5 55.000 (34.133)
Epoch: [0][8150/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 3.3711 (4.1720)	Prec@1 19.000 (14.162)	Prec@5 51.000 (34.154)
Epoch: [0][8160/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 3.0991 (4.1710)	Prec@1 29.000 (14.174)	Prec@5 57.000 (34.174)
Epoch: [0][8170/9018]	Time 0.624 (0.620)	Data 0.001 (0.001)	Loss 3.3209 (4.1699)	Prec@1 28.500 (14.187)	Prec@5 50.500 (34.198)
Epoch: [0][8180/9018]	Time 0.597 (0.620)	Data 0.001 (0.001)	Loss 3.4861 (4.1689)	Prec@1 23.000 (14.201)	Prec@5 47.500 (34.219)
Epoch: [0][8190/9018]	Time 0.606 (0.619)	Data 0.001 (0.001)	Loss 3.3536 (4.1679)	Prec@1 25.000 (14.215)	Prec@5 56.500 (34.242)
Epoch: [0][8200/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 3.0307 (4.1667)	Prec@1 30.500 (14.229)	Prec@5 58.500 (34.268)
Epoch: [0][8210/9018]	Time 0.588 (0.619)	Data 0.001 (0.001)	Loss 3.5618 (4.1658)	Prec@1 17.000 (14.241)	Prec@5 47.500 (34.289)
Epoch: [0][8220/9018]	Time 0.611 (0.619)	Data 0.001 (0.001)	Loss 3.1498 (4.1647)	Prec@1 27.000 (14.254)	Prec@5 52.000 (34.312)
Epoch: [0][8230/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 3.2040 (4.1635)	Prec@1 24.500 (14.267)	Prec@5 59.000 (34.338)
Epoch: [0][8240/9018]	Time 0.612 (0.619)	Data 0.001 (0.001)	Loss 3.3462 (4.1626)	Prec@1 20.500 (14.279)	Prec@5 52.000 (34.361)
Epoch: [0][8250/9018]	Time 0.601 (0.619)	Data 0.001 (0.001)	Loss 3.3214 (4.1615)	Prec@1 23.500 (14.293)	Prec@5 52.500 (34.384)
Epoch: [0][8260/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 3.3275 (4.1605)	Prec@1 25.000 (14.305)	Prec@5 52.500 (34.405)
Epoch: [0][8270/9018]	Time 0.599 (0.619)	Data 0.001 (0.001)	Loss 3.2733 (4.1594)	Prec@1 27.000 (14.318)	Prec@5 57.500 (34.430)
Epoch: [0][8280/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 3.1665 (4.1585)	Prec@1 26.500 (14.329)	Prec@5 55.000 (34.449)
Epoch: [0][8290/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 3.2423 (4.1575)	Prec@1 19.500 (14.341)	Prec@5 53.500 (34.471)
Epoch: [0][8300/9018]	Time 0.627 (0.619)	Data 0.001 (0.001)	Loss 3.3897 (4.1564)	Prec@1 22.000 (14.353)	Prec@5 50.500 (34.495)
Epoch: [0][8310/9018]	Time 0.601 (0.619)	Data 0.001 (0.001)	Loss 3.0771 (4.1553)	Prec@1 28.000 (14.366)	Prec@5 62.000 (34.518)
Epoch: [0][8320/9018]	Time 0.595 (0.619)	Data 0.001 (0.001)	Loss 3.0319 (4.1543)	Prec@1 25.000 (14.378)	Prec@5 60.500 (34.541)
Epoch: [0][8330/9018]	Time 0.623 (0.619)	Data 0.001 (0.001)	Loss 2.9928 (4.1533)	Prec@1 34.500 (14.393)	Prec@5 56.000 (34.564)
Epoch: [0][8340/9018]	Time 0.606 (0.619)	Data 0.001 (0.001)	Loss 3.1453 (4.1523)	Prec@1 28.000 (14.405)	Prec@5 57.000 (34.586)
Epoch: [0][8350/9018]	Time 0.743 (0.619)	Data 0.001 (0.001)	Loss 3.4658 (4.1512)	Prec@1 22.500 (14.418)	Prec@5 52.000 (34.609)
Epoch: [0][8360/9018]	Time 0.636 (0.619)	Data 0.001 (0.001)	Loss 3.4288 (4.1502)	Prec@1 26.500 (14.431)	Prec@5 49.500 (34.630)
Epoch: [0][8370/9018]	Time 0.594 (0.619)	Data 0.001 (0.001)	Loss 3.1032 (4.1492)	Prec@1 24.000 (14.443)	Prec@5 58.000 (34.654)
Epoch: [0][8380/9018]	Time 0.635 (0.619)	Data 0.001 (0.001)	Loss 3.1535 (4.1482)	Prec@1 25.500 (14.456)	Prec@5 55.000 (34.675)
Epoch: [0][8390/9018]	Time 0.616 (0.619)	Data 0.001 (0.001)	Loss 3.4398 (4.1473)	Prec@1 23.500 (14.468)	Prec@5 49.500 (34.697)
Epoch: [0][8400/9018]	Time 0.716 (0.619)	Data 0.001 (0.001)	Loss 3.1354 (4.1462)	Prec@1 26.500 (14.481)	Prec@5 57.000 (34.719)
Epoch: [0][8410/9018]	Time 0.601 (0.619)	Data 0.001 (0.001)	Loss 3.1865 (4.1452)	Prec@1 30.500 (14.494)	Prec@5 53.500 (34.742)
Epoch: [0][8420/9018]	Time 0.610 (0.619)	Data 0.001 (0.001)	Loss 3.3306 (4.1441)	Prec@1 26.000 (14.508)	Prec@5 52.500 (34.767)
Epoch: [0][8430/9018]	Time 0.595 (0.619)	Data 0.001 (0.001)	Loss 3.1467 (4.1432)	Prec@1 25.500 (14.519)	Prec@5 59.500 (34.788)
Epoch: [0][8440/9018]	Time 0.604 (0.619)	Data 0.001 (0.001)	Loss 3.4417 (4.1422)	Prec@1 23.500 (14.532)	Prec@5 50.000 (34.810)
Epoch: [0][8450/9018]	Time 0.611 (0.619)	Data 0.001 (0.001)	Loss 3.2326 (4.1412)	Prec@1 23.000 (14.545)	Prec@5 55.500 (34.833)
Epoch: [0][8460/9018]	Time 0.604 (0.619)	Data 0.001 (0.001)	Loss 3.3743 (4.1402)	Prec@1 25.000 (14.559)	Prec@5 51.000 (34.855)
Epoch: [0][8470/9018]	Time 0.591 (0.619)	Data 0.001 (0.001)	Loss 3.2636 (4.1391)	Prec@1 25.500 (14.572)	Prec@5 54.500 (34.878)
Epoch: [0][8480/9018]	Time 0.596 (0.619)	Data 0.001 (0.001)	Loss 3.1921 (4.1381)	Prec@1 27.500 (14.585)	Prec@5 56.500 (34.899)
Epoch: [0][8490/9018]	Time 0.595 (0.619)	Data 0.001 (0.001)	Loss 3.2262 (4.1371)	Prec@1 24.000 (14.597)	Prec@5 55.000 (34.921)
Epoch: [0][8500/9018]	Time 0.607 (0.619)	Data 0.001 (0.001)	Loss 3.3625 (4.1361)	Prec@1 20.500 (14.610)	Prec@5 50.500 (34.942)
Epoch: [0][8510/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 3.3380 (4.1352)	Prec@1 25.000 (14.621)	Prec@5 50.000 (34.962)
Epoch: [0][8520/9018]	Time 0.604 (0.619)	Data 0.001 (0.001)	Loss 3.0704 (4.1341)	Prec@1 34.000 (14.636)	Prec@5 58.000 (34.986)
Epoch: [0][8530/9018]	Time 0.623 (0.619)	Data 0.001 (0.001)	Loss 3.1153 (4.1330)	Prec@1 31.000 (14.651)	Prec@5 59.500 (35.010)
Epoch: [0][8540/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 3.4221 (4.1321)	Prec@1 26.000 (14.663)	Prec@5 50.000 (35.031)
Epoch: [0][8550/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 3.4904 (4.1312)	Prec@1 22.500 (14.675)	Prec@5 45.500 (35.049)
Epoch: [0][8560/9018]	Time 0.638 (0.619)	Data 0.001 (0.001)	Loss 3.2790 (4.1303)	Prec@1 26.500 (14.686)	Prec@5 55.000 (35.070)
Epoch: [0][8570/9018]	Time 0.601 (0.619)	Data 0.001 (0.001)	Loss 3.0797 (4.1293)	Prec@1 30.500 (14.700)	Prec@5 56.000 (35.094)
Epoch: [0][8580/9018]	Time 0.626 (0.619)	Data 0.001 (0.001)	Loss 3.2227 (4.1283)	Prec@1 26.500 (14.712)	Prec@5 53.000 (35.114)
Epoch: [0][8590/9018]	Time 0.607 (0.619)	Data 0.001 (0.001)	Loss 3.3085 (4.1273)	Prec@1 25.500 (14.724)	Prec@5 49.000 (35.136)
Epoch: [0][8600/9018]	Time 0.604 (0.619)	Data 0.001 (0.001)	Loss 3.3007 (4.1263)	Prec@1 25.500 (14.736)	Prec@5 53.500 (35.158)
Epoch: [0][8610/9018]	Time 0.631 (0.619)	Data 0.001 (0.001)	Loss 3.2694 (4.1253)	Prec@1 28.000 (14.750)	Prec@5 54.500 (35.180)
Epoch: [0][8620/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 3.4004 (4.1243)	Prec@1 23.000 (14.762)	Prec@5 48.500 (35.201)
Epoch: [0][8630/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 3.2730 (4.1233)	Prec@1 29.000 (14.775)	Prec@5 56.000 (35.222)
Epoch: [0][8640/9018]	Time 0.605 (0.619)	Data 0.001 (0.001)	Loss 3.3676 (4.1223)	Prec@1 22.000 (14.788)	Prec@5 49.000 (35.245)
Epoch: [0][8650/9018]	Time 0.605 (0.619)	Data 0.001 (0.001)	Loss 3.1384 (4.1213)	Prec@1 29.500 (14.799)	Prec@5 54.000 (35.267)
Epoch: [0][8660/9018]	Time 0.634 (0.619)	Data 0.001 (0.001)	Loss 3.5579 (4.1204)	Prec@1 24.000 (14.813)	Prec@5 47.500 (35.286)
Epoch: [0][8670/9018]	Time 0.597 (0.619)	Data 0.001 (0.001)	Loss 3.3237 (4.1194)	Prec@1 28.500 (14.827)	Prec@5 51.500 (35.309)
Epoch: [0][8680/9018]	Time 0.742 (0.619)	Data 0.001 (0.001)	Loss 3.5386 (4.1184)	Prec@1 22.000 (14.839)	Prec@5 50.000 (35.330)
Epoch: [0][8690/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 3.2525 (4.1174)	Prec@1 25.500 (14.850)	Prec@5 51.500 (35.351)
Epoch: [0][8700/9018]	Time 0.615 (0.619)	Data 0.001 (0.001)	Loss 3.5520 (4.1167)	Prec@1 17.000 (14.859)	Prec@5 44.500 (35.368)
Epoch: [0][8710/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 3.1261 (4.1157)	Prec@1 29.500 (14.872)	Prec@5 54.500 (35.388)
Epoch: [0][8720/9018]	Time 0.629 (0.619)	Data 0.001 (0.001)	Loss 3.4452 (4.1147)	Prec@1 25.500 (14.884)	Prec@5 50.500 (35.410)
Epoch: [0][8730/9018]	Time 0.735 (0.619)	Data 0.001 (0.001)	Loss 3.1737 (4.1137)	Prec@1 23.000 (14.897)	Prec@5 60.000 (35.433)
Epoch: [0][8740/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 3.2424 (4.1127)	Prec@1 22.500 (14.909)	Prec@5 54.000 (35.454)
Epoch: [0][8750/9018]	Time 0.632 (0.619)	Data 0.001 (0.001)	Loss 3.1400 (4.1118)	Prec@1 32.000 (14.921)	Prec@5 57.000 (35.477)
Epoch: [0][8760/9018]	Time 0.593 (0.619)	Data 0.001 (0.001)	Loss 3.0089 (4.1108)	Prec@1 34.500 (14.934)	Prec@5 59.000 (35.498)
Epoch: [0][8770/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 3.0922 (4.1098)	Prec@1 27.000 (14.946)	Prec@5 55.000 (35.521)
Epoch: [0][8780/9018]	Time 0.617 (0.619)	Data 0.001 (0.001)	Loss 3.2038 (4.1089)	Prec@1 28.500 (14.959)	Prec@5 54.500 (35.541)
Epoch: [0][8790/9018]	Time 0.637 (0.619)	Data 0.001 (0.001)	Loss 3.1062 (4.1080)	Prec@1 28.000 (14.972)	Prec@5 58.000 (35.561)
Epoch: [0][8800/9018]	Time 0.595 (0.619)	Data 0.001 (0.001)	Loss 3.2072 (4.1069)	Prec@1 27.000 (14.986)	Prec@5 55.500 (35.583)
Epoch: [0][8810/9018]	Time 0.617 (0.619)	Data 0.001 (0.001)	Loss 3.3247 (4.1061)	Prec@1 22.500 (14.996)	Prec@5 53.000 (35.601)
Epoch: [0][8820/9018]	Time 0.601 (0.619)	Data 0.001 (0.001)	Loss 3.3398 (4.1051)	Prec@1 24.500 (15.008)	Prec@5 54.500 (35.624)
Epoch: [0][8830/9018]	Time 0.609 (0.619)	Data 0.001 (0.001)	Loss 3.3027 (4.1042)	Prec@1 26.000 (15.018)	Prec@5 51.000 (35.643)
Epoch: [0][8840/9018]	Time 0.594 (0.619)	Data 0.001 (0.001)	Loss 3.2282 (4.1033)	Prec@1 29.500 (15.031)	Prec@5 55.000 (35.664)
Epoch: [0][8850/9018]	Time 0.599 (0.619)	Data 0.001 (0.001)	Loss 3.1158 (4.1023)	Prec@1 22.500 (15.042)	Prec@5 53.000 (35.684)
Epoch: [0][8860/9018]	Time 0.606 (0.619)	Data 0.001 (0.001)	Loss 3.1711 (4.1013)	Prec@1 24.500 (15.054)	Prec@5 55.500 (35.705)
Epoch: [0][8870/9018]	Time 0.606 (0.619)	Data 0.001 (0.001)	Loss 2.9006 (4.1003)	Prec@1 34.500 (15.067)	Prec@5 61.000 (35.726)
Epoch: [0][8880/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 3.1745 (4.0994)	Prec@1 23.500 (15.077)	Prec@5 57.000 (35.748)
Epoch: [0][8890/9018]	Time 0.605 (0.619)	Data 0.001 (0.001)	Loss 3.0880 (4.0984)	Prec@1 24.500 (15.089)	Prec@5 60.000 (35.768)
Epoch: [0][8900/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 3.3020 (4.0975)	Prec@1 25.500 (15.100)	Prec@5 54.000 (35.789)
Epoch: [0][8910/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 3.0729 (4.0965)	Prec@1 29.500 (15.113)	Prec@5 58.000 (35.809)
Epoch: [0][8920/9018]	Time 0.614 (0.619)	Data 0.001 (0.001)	Loss 3.4634 (4.0956)	Prec@1 20.000 (15.124)	Prec@5 47.500 (35.828)
Epoch: [0][8930/9018]	Time 0.596 (0.619)	Data 0.001 (0.001)	Loss 2.9799 (4.0947)	Prec@1 30.000 (15.137)	Prec@5 59.000 (35.850)
Epoch: [0][8940/9018]	Time 0.599 (0.619)	Data 0.001 (0.001)	Loss 3.1751 (4.0937)	Prec@1 29.500 (15.149)	Prec@5 56.500 (35.871)
Epoch: [0][8950/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 3.3192 (4.0928)	Prec@1 25.000 (15.161)	Prec@5 57.000 (35.890)
Epoch: [0][8960/9018]	Time 0.642 (0.619)	Data 0.001 (0.001)	Loss 3.3241 (4.0919)	Prec@1 25.500 (15.172)	Prec@5 52.000 (35.910)
Epoch: [0][8970/9018]	Time 0.591 (0.619)	Data 0.001 (0.001)	Loss 3.3205 (4.0909)	Prec@1 25.500 (15.184)	Prec@5 55.500 (35.930)
Epoch: [0][8980/9018]	Time 0.593 (0.619)	Data 0.001 (0.001)	Loss 3.1278 (4.0901)	Prec@1 29.500 (15.193)	Prec@5 57.000 (35.950)
Epoch: [0][8990/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 3.2084 (4.0892)	Prec@1 25.500 (15.203)	Prec@5 51.000 (35.969)
Epoch: [0][9000/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 3.3640 (4.0883)	Prec@1 25.500 (15.214)	Prec@5 48.500 (35.987)
Epoch: [0][9010/9018]	Time 0.711 (0.619)	Data 0.000 (0.001)	Loss 3.2084 (4.0875)	Prec@1 21.500 (15.224)	Prec@5 53.000 (36.004)
Test: [0/183]	Time 1.464 (1.464)	Loss 3.7911 (3.7911)	Prec@1 9.500 (9.500)	Prec@5 38.000 (38.000)
Test: [10/183]	Time 0.191 (0.320)	Loss 3.2372 (3.0110)	Prec@1 28.000 (29.273)	Prec@5 57.500 (59.682)
Test: [20/183]	Time 0.187 (0.259)	Loss 3.0057 (3.0412)	Prec@1 31.500 (28.500)	Prec@5 57.000 (58.333)
Test: [30/183]	Time 0.192 (0.239)	Loss 3.4856 (3.0695)	Prec@1 13.500 (27.371)	Prec@5 47.000 (58.129)
Test: [40/183]	Time 0.203 (0.227)	Loss 3.7131 (3.0973)	Prec@1 11.000 (27.378)	Prec@5 42.000 (57.439)
Test: [50/183]	Time 0.201 (0.221)	Loss 2.8055 (3.0803)	Prec@1 30.000 (27.961)	Prec@5 64.500 (57.912)
Test: [60/183]	Time 0.191 (0.218)	Loss 3.2974 (3.1312)	Prec@1 23.000 (26.590)	Prec@5 57.500 (56.836)
Test: [70/183]	Time 0.194 (0.214)	Loss 2.4123 (3.1215)	Prec@1 43.500 (26.345)	Prec@5 74.500 (57.254)
Test: [80/183]	Time 0.210 (0.212)	Loss 2.8150 (3.1191)	Prec@1 35.500 (26.685)	Prec@5 66.500 (57.198)
Test: [90/183]	Time 0.192 (0.210)	Loss 3.4793 (3.1176)	Prec@1 14.500 (26.670)	Prec@5 50.500 (57.143)
Test: [100/183]	Time 0.182 (0.209)	Loss 1.8237 (3.1041)	Prec@1 60.500 (27.020)	Prec@5 80.500 (57.490)
Test: [110/183]	Time 0.199 (0.209)	Loss 1.7128 (3.0983)	Prec@1 63.500 (27.396)	Prec@5 85.500 (57.820)
Test: [120/183]	Time 0.208 (0.207)	Loss 3.5345 (3.0960)	Prec@1 18.000 (27.120)	Prec@5 47.500 (57.843)
Test: [130/183]	Time 0.183 (0.207)	Loss 4.1843 (3.0928)	Prec@1 8.000 (27.141)	Prec@5 37.000 (57.916)
Test: [140/183]	Time 0.212 (0.206)	Loss 2.9308 (3.0702)	Prec@1 31.000 (27.571)	Prec@5 61.500 (58.422)
Test: [150/183]	Time 0.187 (0.205)	Loss 1.0164 (3.0391)	Prec@1 76.500 (28.255)	Prec@5 93.000 (58.947)
Test: [160/183]	Time 0.209 (0.205)	Loss 2.8044 (3.0521)	Prec@1 35.500 (28.227)	Prec@5 52.500 (58.602)
Test: [170/183]	Time 0.183 (0.204)	Loss 2.4872 (3.0653)	Prec@1 34.500 (28.006)	Prec@5 73.000 (58.289)
Test: [180/183]	Time 0.178 (0.204)	Loss 4.0338 (3.0827)	Prec@1 10.500 (27.771)	Prec@5 34.500 (57.876)
 * Prec@1 27.858 Prec@5 57.904
Epoch: [1][0/9018]	Time 2.814 (2.814)	Data 2.215 (2.215)	Loss 3.2829 (3.2829)	Prec@1 24.500 (24.500)	Prec@5 55.500 (55.500)
Epoch: [1][10/9018]	Time 0.593 (0.817)	Data 0.001 (0.202)	Loss 3.2914 (3.2853)	Prec@1 23.000 (25.864)	Prec@5 53.500 (53.455)
Epoch: [1][20/9018]	Time 0.604 (0.713)	Data 0.001 (0.106)	Loss 3.3152 (3.2734)	Prec@1 24.000 (25.619)	Prec@5 52.500 (53.976)
Epoch: [1][30/9018]	Time 0.601 (0.681)	Data 0.001 (0.072)	Loss 3.2434 (3.2876)	Prec@1 27.000 (25.290)	Prec@5 53.000 (53.677)
Epoch: [1][40/9018]	Time 0.593 (0.661)	Data 0.001 (0.055)	Loss 3.0651 (3.2661)	Prec@1 33.000 (25.915)	Prec@5 55.500 (54.110)
Epoch: [1][50/9018]	Time 0.632 (0.654)	Data 0.001 (0.044)	Loss 3.1710 (3.2455)	Prec@1 27.000 (26.304)	Prec@5 57.500 (54.500)
Epoch: [1][60/9018]	Time 0.603 (0.649)	Data 0.001 (0.037)	Loss 2.9086 (3.2352)	Prec@1 33.000 (26.287)	Prec@5 60.500 (54.574)
Epoch: [1][70/9018]	Time 0.603 (0.642)	Data 0.001 (0.032)	Loss 3.1914 (3.2303)	Prec@1 27.500 (26.211)	Prec@5 56.000 (54.606)
Epoch: [1][80/9018]	Time 0.596 (0.641)	Data 0.001 (0.028)	Loss 3.2013 (3.2273)	Prec@1 28.000 (26.414)	Prec@5 56.000 (54.784)
Epoch: [1][90/9018]	Time 0.736 (0.637)	Data 0.001 (0.025)	Loss 3.0622 (3.2208)	Prec@1 31.000 (26.423)	Prec@5 56.500 (54.874)
Epoch: [1][100/9018]	Time 0.628 (0.634)	Data 0.001 (0.023)	Loss 3.3135 (3.2255)	Prec@1 26.000 (26.347)	Prec@5 55.000 (54.728)
Epoch: [1][110/9018]	Time 0.601 (0.633)	Data 0.001 (0.021)	Loss 3.2677 (3.2256)	Prec@1 19.500 (26.315)	Prec@5 55.000 (54.703)
Epoch: [1][120/9018]	Time 0.597 (0.631)	Data 0.001 (0.019)	Loss 3.1042 (3.2232)	Prec@1 29.500 (26.401)	Prec@5 56.000 (54.764)
Epoch: [1][130/9018]	Time 0.603 (0.630)	Data 0.001 (0.018)	Loss 3.3568 (3.2311)	Prec@1 22.000 (26.271)	Prec@5 56.500 (54.653)
Epoch: [1][140/9018]	Time 0.773 (0.630)	Data 0.001 (0.016)	Loss 3.3140 (3.2330)	Prec@1 23.000 (26.227)	Prec@5 52.000 (54.656)
Epoch: [1][150/9018]	Time 0.601 (0.628)	Data 0.001 (0.015)	Loss 3.1261 (3.2363)	Prec@1 30.500 (26.215)	Prec@5 59.000 (54.583)
Epoch: [1][160/9018]	Time 0.593 (0.628)	Data 0.001 (0.015)	Loss 3.3464 (3.2353)	Prec@1 23.500 (26.130)	Prec@5 52.500 (54.602)
Epoch: [1][170/9018]	Time 0.595 (0.626)	Data 0.001 (0.014)	Loss 3.4473 (3.2363)	Prec@1 22.500 (26.050)	Prec@5 52.000 (54.611)
Epoch: [1][180/9018]	Time 0.630 (0.627)	Data 0.001 (0.013)	Loss 3.0891 (3.2317)	Prec@1 25.500 (26.094)	Prec@5 55.500 (54.641)
Epoch: [1][190/9018]	Time 0.613 (0.627)	Data 0.001 (0.012)	Loss 3.3490 (3.2279)	Prec@1 20.500 (26.110)	Prec@5 50.500 (54.749)
Epoch: [1][200/9018]	Time 0.598 (0.625)	Data 0.001 (0.012)	Loss 3.3374 (3.2289)	Prec@1 27.500 (26.025)	Prec@5 50.500 (54.657)
Epoch: [1][210/9018]	Time 0.601 (0.625)	Data 0.001 (0.011)	Loss 3.3280 (3.2300)	Prec@1 21.000 (25.988)	Prec@5 50.500 (54.628)
Epoch: [1][220/9018]	Time 0.606 (0.624)	Data 0.001 (0.011)	Loss 3.1754 (3.2301)	Prec@1 28.500 (26.000)	Prec@5 58.000 (54.672)
Epoch: [1][230/9018]	Time 0.607 (0.625)	Data 0.001 (0.010)	Loss 3.2651 (3.2307)	Prec@1 30.500 (26.056)	Prec@5 54.000 (54.662)
Epoch: [1][240/9018]	Time 0.608 (0.624)	Data 0.001 (0.010)	Loss 3.3152 (3.2305)	Prec@1 19.000 (26.098)	Prec@5 52.500 (54.674)
Epoch: [1][250/9018]	Time 0.596 (0.623)	Data 0.001 (0.010)	Loss 3.3823 (3.2298)	Prec@1 25.000 (26.106)	Prec@5 47.500 (54.709)
Epoch: [1][260/9018]	Time 0.605 (0.623)	Data 0.001 (0.009)	Loss 3.1301 (3.2314)	Prec@1 30.000 (26.125)	Prec@5 56.500 (54.648)
Epoch: [1][270/9018]	Time 0.594 (0.622)	Data 0.001 (0.009)	Loss 3.0280 (3.2318)	Prec@1 28.500 (26.124)	Prec@5 57.500 (54.648)
Epoch: [1][280/9018]	Time 0.594 (0.623)	Data 0.001 (0.009)	Loss 3.2733 (3.2335)	Prec@1 23.000 (26.098)	Prec@5 53.000 (54.593)
Epoch: [1][290/9018]	Time 0.597 (0.623)	Data 0.001 (0.008)	Loss 3.3411 (3.2359)	Prec@1 29.000 (26.122)	Prec@5 55.500 (54.514)
Epoch: [1][300/9018]	Time 0.595 (0.622)	Data 0.001 (0.008)	Loss 3.2459 (3.2322)	Prec@1 27.500 (26.186)	Prec@5 57.000 (54.571)
Epoch: [1][310/9018]	Time 0.595 (0.622)	Data 0.001 (0.008)	Loss 3.3123 (3.2343)	Prec@1 19.000 (26.105)	Prec@5 52.500 (54.503)
Epoch: [1][320/9018]	Time 0.598 (0.621)	Data 0.001 (0.008)	Loss 3.2250 (3.2342)	Prec@1 29.000 (26.136)	Prec@5 52.000 (54.536)
Epoch: [1][330/9018]	Time 0.587 (0.622)	Data 0.001 (0.007)	Loss 3.2255 (3.2314)	Prec@1 26.500 (26.162)	Prec@5 53.000 (54.569)
Epoch: [1][340/9018]	Time 0.604 (0.621)	Data 0.001 (0.007)	Loss 3.0983 (3.2306)	Prec@1 29.000 (26.173)	Prec@5 57.500 (54.588)
Epoch: [1][350/9018]	Time 0.599 (0.621)	Data 0.001 (0.007)	Loss 3.1723 (3.2305)	Prec@1 29.000 (26.185)	Prec@5 56.000 (54.581)
Epoch: [1][360/9018]	Time 0.603 (0.621)	Data 0.001 (0.007)	Loss 3.1143 (3.2301)	Prec@1 27.000 (26.220)	Prec@5 56.500 (54.601)
Epoch: [1][370/9018]	Time 0.598 (0.621)	Data 0.001 (0.007)	Loss 3.2115 (3.2309)	Prec@1 29.500 (26.229)	Prec@5 57.000 (54.592)
Epoch: [1][380/9018]	Time 0.617 (0.621)	Data 0.001 (0.007)	Loss 3.1653 (3.2301)	Prec@1 24.000 (26.192)	Prec@5 56.500 (54.606)
Epoch: [1][390/9018]	Time 0.601 (0.621)	Data 0.001 (0.006)	Loss 3.0751 (3.2299)	Prec@1 29.000 (26.168)	Prec@5 60.000 (54.606)
Epoch: [1][400/9018]	Time 0.627 (0.621)	Data 0.001 (0.006)	Loss 3.4301 (3.2309)	Prec@1 22.000 (26.147)	Prec@5 50.000 (54.581)
Epoch: [1][410/9018]	Time 0.604 (0.621)	Data 0.001 (0.006)	Loss 3.1079 (3.2312)	Prec@1 29.000 (26.122)	Prec@5 59.500 (54.600)
Epoch: [1][420/9018]	Time 0.727 (0.620)	Data 0.001 (0.006)	Loss 3.3355 (3.2314)	Prec@1 26.500 (26.112)	Prec@5 52.000 (54.616)
Epoch: [1][430/9018]	Time 0.592 (0.620)	Data 0.001 (0.006)	Loss 3.2114 (3.2309)	Prec@1 30.500 (26.126)	Prec@5 58.000 (54.651)
Epoch: [1][440/9018]	Time 0.599 (0.620)	Data 0.001 (0.006)	Loss 3.2672 (3.2323)	Prec@1 26.500 (26.078)	Prec@5 54.500 (54.602)
Epoch: [1][450/9018]	Time 0.639 (0.620)	Data 0.001 (0.006)	Loss 3.1616 (3.2307)	Prec@1 24.500 (26.088)	Prec@5 56.000 (54.640)
Epoch: [1][460/9018]	Time 0.601 (0.620)	Data 0.001 (0.006)	Loss 3.0521 (3.2294)	Prec@1 28.500 (26.133)	Prec@5 59.500 (54.679)
Epoch: [1][470/9018]	Time 0.763 (0.620)	Data 0.001 (0.005)	Loss 3.1212 (3.2286)	Prec@1 29.000 (26.145)	Prec@5 55.000 (54.672)
Epoch: [1][480/9018]	Time 0.619 (0.619)	Data 0.001 (0.005)	Loss 3.1618 (3.2298)	Prec@1 26.500 (26.120)	Prec@5 57.000 (54.635)
Epoch: [1][490/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 3.1420 (3.2293)	Prec@1 33.000 (26.137)	Prec@5 58.000 (54.628)
Epoch: [1][500/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 3.5582 (3.2299)	Prec@1 25.000 (26.147)	Prec@5 51.500 (54.629)
Epoch: [1][510/9018]	Time 0.595 (0.619)	Data 0.001 (0.005)	Loss 3.2630 (3.2294)	Prec@1 25.000 (26.131)	Prec@5 53.500 (54.632)
Epoch: [1][520/9018]	Time 0.593 (0.619)	Data 0.001 (0.005)	Loss 3.1388 (3.2295)	Prec@1 32.500 (26.126)	Prec@5 61.500 (54.640)
Epoch: [1][530/9018]	Time 0.606 (0.619)	Data 0.001 (0.005)	Loss 3.4703 (3.2301)	Prec@1 25.000 (26.127)	Prec@5 51.500 (54.643)
Epoch: [1][540/9018]	Time 0.621 (0.619)	Data 0.001 (0.005)	Loss 3.0682 (3.2305)	Prec@1 30.500 (26.111)	Prec@5 59.000 (54.613)
Epoch: [1][550/9018]	Time 0.593 (0.619)	Data 0.001 (0.005)	Loss 3.2064 (3.2288)	Prec@1 29.000 (26.159)	Prec@5 55.000 (54.649)
Epoch: [1][560/9018]	Time 0.609 (0.619)	Data 0.001 (0.005)	Loss 3.3467 (3.2289)	Prec@1 23.000 (26.169)	Prec@5 52.000 (54.651)
Epoch: [1][570/9018]	Time 0.618 (0.619)	Data 0.001 (0.005)	Loss 3.0372 (3.2283)	Prec@1 31.000 (26.159)	Prec@5 58.500 (54.657)
Epoch: [1][580/9018]	Time 0.616 (0.619)	Data 0.001 (0.005)	Loss 3.2190 (3.2286)	Prec@1 23.000 (26.148)	Prec@5 55.500 (54.654)
Epoch: [1][590/9018]	Time 0.603 (0.618)	Data 0.001 (0.005)	Loss 3.1675 (3.2287)	Prec@1 27.000 (26.140)	Prec@5 59.000 (54.668)
Epoch: [1][600/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 3.3588 (3.2288)	Prec@1 25.000 (26.122)	Prec@5 52.500 (54.660)
Epoch: [1][610/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 3.2207 (3.2285)	Prec@1 26.000 (26.113)	Prec@5 54.000 (54.678)
Epoch: [1][620/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 3.2438 (3.2286)	Prec@1 27.000 (26.101)	Prec@5 55.000 (54.689)
Epoch: [1][630/9018]	Time 0.623 (0.618)	Data 0.001 (0.004)	Loss 3.1249 (3.2274)	Prec@1 30.000 (26.101)	Prec@5 50.500 (54.685)
Epoch: [1][640/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 3.2354 (3.2268)	Prec@1 26.500 (26.108)	Prec@5 55.000 (54.704)
Epoch: [1][650/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 3.1090 (3.2255)	Prec@1 29.500 (26.153)	Prec@5 55.000 (54.734)
Epoch: [1][660/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 3.2834 (3.2253)	Prec@1 27.500 (26.160)	Prec@5 57.500 (54.740)
Epoch: [1][670/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 3.2153 (3.2250)	Prec@1 26.000 (26.168)	Prec@5 57.500 (54.759)
Epoch: [1][680/9018]	Time 0.626 (0.618)	Data 0.001 (0.004)	Loss 3.2653 (3.2248)	Prec@1 27.000 (26.186)	Prec@5 53.000 (54.753)
Epoch: [1][690/9018]	Time 0.613 (0.618)	Data 0.001 (0.004)	Loss 3.0456 (3.2243)	Prec@1 29.500 (26.197)	Prec@5 59.000 (54.753)
Epoch: [1][700/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 3.0939 (3.2244)	Prec@1 22.500 (26.191)	Prec@5 59.500 (54.752)
Epoch: [1][710/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 3.3520 (3.2250)	Prec@1 23.500 (26.189)	Prec@5 53.000 (54.750)
Epoch: [1][720/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 3.1550 (3.2256)	Prec@1 28.000 (26.175)	Prec@5 58.000 (54.750)
Epoch: [1][730/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 3.3072 (3.2266)	Prec@1 25.000 (26.151)	Prec@5 52.000 (54.726)
Epoch: [1][740/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.9787 (3.2259)	Prec@1 32.000 (26.147)	Prec@5 59.000 (54.752)
Epoch: [1][750/9018]	Time 0.737 (0.617)	Data 0.001 (0.004)	Loss 3.1932 (3.2250)	Prec@1 27.000 (26.149)	Prec@5 57.500 (54.778)
Epoch: [1][760/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 3.0775 (3.2242)	Prec@1 27.500 (26.170)	Prec@5 58.000 (54.804)
Epoch: [1][770/9018]	Time 0.616 (0.617)	Data 0.001 (0.004)	Loss 3.2327 (3.2240)	Prec@1 25.000 (26.174)	Prec@5 55.500 (54.808)
Epoch: [1][780/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 3.0505 (3.2240)	Prec@1 37.000 (26.177)	Prec@5 60.500 (54.805)
Epoch: [1][790/9018]	Time 0.613 (0.617)	Data 0.001 (0.004)	Loss 3.1019 (3.2242)	Prec@1 31.500 (26.174)	Prec@5 57.000 (54.791)
Epoch: [1][800/9018]	Time 0.733 (0.617)	Data 0.001 (0.004)	Loss 3.2764 (3.2239)	Prec@1 27.500 (26.187)	Prec@5 52.000 (54.795)
Epoch: [1][810/9018]	Time 0.591 (0.617)	Data 0.001 (0.004)	Loss 3.2316 (3.2235)	Prec@1 25.000 (26.204)	Prec@5 53.500 (54.788)
Epoch: [1][820/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 3.4373 (3.2234)	Prec@1 23.500 (26.217)	Prec@5 54.500 (54.785)
Epoch: [1][830/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 3.1585 (3.2224)	Prec@1 26.500 (26.232)	Prec@5 61.000 (54.821)
Epoch: [1][840/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 3.1432 (3.2215)	Prec@1 23.000 (26.248)	Prec@5 58.500 (54.852)
Epoch: [1][850/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 3.2570 (3.2210)	Prec@1 26.000 (26.272)	Prec@5 51.500 (54.857)
Epoch: [1][860/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 3.0147 (3.2208)	Prec@1 32.000 (26.277)	Prec@5 60.000 (54.860)
Epoch: [1][870/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 3.2493 (3.2215)	Prec@1 28.500 (26.277)	Prec@5 53.500 (54.829)
Epoch: [1][880/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 3.1957 (3.2205)	Prec@1 29.500 (26.302)	Prec@5 55.000 (54.847)
Epoch: [1][890/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.9642 (3.2204)	Prec@1 33.500 (26.316)	Prec@5 57.000 (54.849)
Epoch: [1][900/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 3.2625 (3.2204)	Prec@1 24.500 (26.297)	Prec@5 53.500 (54.846)
Epoch: [1][910/9018]	Time 0.590 (0.617)	Data 0.001 (0.003)	Loss 2.7644 (3.2196)	Prec@1 34.000 (26.314)	Prec@5 63.000 (54.869)
Epoch: [1][920/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 3.1842 (3.2187)	Prec@1 27.000 (26.338)	Prec@5 58.500 (54.900)
Epoch: [1][930/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 3.2572 (3.2179)	Prec@1 25.500 (26.368)	Prec@5 53.000 (54.915)
Epoch: [1][940/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 3.0467 (3.2176)	Prec@1 31.000 (26.369)	Prec@5 56.500 (54.912)
Epoch: [1][950/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 3.1494 (3.2176)	Prec@1 30.000 (26.378)	Prec@5 56.000 (54.926)
Epoch: [1][960/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 3.2189 (3.2172)	Prec@1 25.000 (26.387)	Prec@5 54.500 (54.925)
Epoch: [1][970/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 3.1801 (3.2172)	Prec@1 26.500 (26.389)	Prec@5 56.000 (54.930)
Epoch: [1][980/9018]	Time 0.624 (0.616)	Data 0.001 (0.003)	Loss 3.0035 (3.2169)	Prec@1 28.000 (26.388)	Prec@5 55.500 (54.941)
Epoch: [1][990/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 3.2997 (3.2170)	Prec@1 30.000 (26.391)	Prec@5 54.500 (54.949)
Epoch: [1][1000/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 3.2198 (3.2160)	Prec@1 26.500 (26.418)	Prec@5 54.500 (54.969)
Epoch: [1][1010/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.9155 (3.2153)	Prec@1 32.500 (26.442)	Prec@5 63.500 (54.985)
Epoch: [1][1020/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.9083 (3.2150)	Prec@1 30.000 (26.440)	Prec@5 63.500 (54.995)
Epoch: [1][1030/9018]	Time 0.616 (0.616)	Data 0.001 (0.003)	Loss 3.2695 (3.2143)	Prec@1 27.500 (26.452)	Prec@5 53.500 (55.010)
Epoch: [1][1040/9018]	Time 0.616 (0.616)	Data 0.001 (0.003)	Loss 3.0843 (3.2150)	Prec@1 26.000 (26.430)	Prec@5 57.000 (54.998)
Epoch: [1][1050/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 3.4248 (3.2150)	Prec@1 27.500 (26.437)	Prec@5 50.500 (55.000)
Epoch: [1][1060/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 3.1120 (3.2158)	Prec@1 30.500 (26.423)	Prec@5 57.000 (54.975)
Epoch: [1][1070/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 3.3190 (3.2159)	Prec@1 26.500 (26.430)	Prec@5 56.000 (54.970)
Epoch: [1][1080/9018]	Time 0.741 (0.616)	Data 0.001 (0.003)	Loss 3.2682 (3.2163)	Prec@1 27.000 (26.414)	Prec@5 55.500 (54.966)
Epoch: [1][1090/9018]	Time 0.622 (0.616)	Data 0.001 (0.003)	Loss 3.2175 (3.2157)	Prec@1 25.500 (26.427)	Prec@5 53.500 (54.980)
Epoch: [1][1100/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 3.1289 (3.2144)	Prec@1 25.000 (26.446)	Prec@5 59.500 (54.996)
Epoch: [1][1110/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.9419 (3.2141)	Prec@1 31.000 (26.460)	Prec@5 64.000 (55.013)
Epoch: [1][1120/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 3.2316 (3.2138)	Prec@1 27.000 (26.468)	Prec@5 56.500 (55.029)
Epoch: [1][1130/9018]	Time 0.736 (0.616)	Data 0.001 (0.003)	Loss 3.0498 (3.2129)	Prec@1 31.500 (26.484)	Prec@5 54.000 (55.046)
Epoch: [1][1140/9018]	Time 0.626 (0.616)	Data 0.001 (0.003)	Loss 3.3064 (3.2125)	Prec@1 23.500 (26.487)	Prec@5 53.500 (55.057)
Epoch: [1][1150/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 3.0391 (3.2125)	Prec@1 30.000 (26.494)	Prec@5 62.000 (55.057)
Epoch: [1][1160/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 3.1346 (3.2115)	Prec@1 27.000 (26.508)	Prec@5 57.000 (55.077)
Epoch: [1][1170/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 3.0571 (3.2109)	Prec@1 27.000 (26.517)	Prec@5 58.500 (55.093)
Epoch: [1][1180/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 3.0120 (3.2102)	Prec@1 33.500 (26.536)	Prec@5 59.500 (55.114)
Epoch: [1][1190/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 3.0536 (3.2096)	Prec@1 30.000 (26.550)	Prec@5 60.000 (55.115)
Epoch: [1][1200/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 3.3384 (3.2091)	Prec@1 24.000 (26.559)	Prec@5 53.000 (55.131)
Epoch: [1][1210/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 3.1612 (3.2092)	Prec@1 27.500 (26.565)	Prec@5 53.500 (55.136)
Epoch: [1][1220/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 3.0241 (3.2085)	Prec@1 31.000 (26.588)	Prec@5 56.500 (55.149)
Epoch: [1][1230/9018]	Time 0.629 (0.616)	Data 0.001 (0.003)	Loss 3.0120 (3.2087)	Prec@1 30.500 (26.585)	Prec@5 56.000 (55.141)
Epoch: [1][1240/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 3.3180 (3.2087)	Prec@1 20.500 (26.577)	Prec@5 53.500 (55.146)
Epoch: [1][1250/9018]	Time 0.594 (0.616)	Data 0.002 (0.003)	Loss 3.2792 (3.2087)	Prec@1 27.000 (26.586)	Prec@5 53.500 (55.150)
Epoch: [1][1260/9018]	Time 0.635 (0.616)	Data 0.001 (0.003)	Loss 3.1482 (3.2086)	Prec@1 24.500 (26.583)	Prec@5 53.500 (55.152)
Epoch: [1][1270/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 3.1268 (3.2081)	Prec@1 22.500 (26.593)	Prec@5 60.000 (55.162)
Epoch: [1][1280/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 3.1649 (3.2078)	Prec@1 29.500 (26.605)	Prec@5 53.500 (55.163)
Epoch: [1][1290/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 3.3111 (3.2076)	Prec@1 28.500 (26.612)	Prec@5 52.500 (55.167)
Epoch: [1][1300/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 3.1216 (3.2075)	Prec@1 24.500 (26.615)	Prec@5 60.000 (55.167)
Epoch: [1][1310/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 3.1374 (3.2077)	Prec@1 26.000 (26.603)	Prec@5 56.500 (55.157)
Epoch: [1][1320/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 3.1737 (3.2077)	Prec@1 27.000 (26.604)	Prec@5 56.000 (55.157)
Epoch: [1][1330/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 3.2207 (3.2079)	Prec@1 26.000 (26.593)	Prec@5 54.500 (55.172)
Epoch: [1][1340/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 3.2477 (3.2080)	Prec@1 24.000 (26.591)	Prec@5 52.000 (55.169)
Epoch: [1][1350/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 3.0329 (3.2076)	Prec@1 31.000 (26.602)	Prec@5 60.000 (55.191)
Epoch: [1][1360/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 3.1377 (3.2076)	Prec@1 27.500 (26.604)	Prec@5 55.500 (55.191)
Epoch: [1][1370/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 3.1622 (3.2074)	Prec@1 27.000 (26.610)	Prec@5 60.000 (55.195)
Epoch: [1][1380/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 3.1194 (3.2072)	Prec@1 30.000 (26.611)	Prec@5 61.000 (55.201)
Epoch: [1][1390/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 3.0277 (3.2071)	Prec@1 30.000 (26.608)	Prec@5 56.000 (55.203)
Epoch: [1][1400/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 3.3089 (3.2072)	Prec@1 22.000 (26.604)	Prec@5 48.500 (55.201)
Epoch: [1][1410/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 3.1344 (3.2063)	Prec@1 26.500 (26.620)	Prec@5 59.000 (55.219)
Epoch: [1][1420/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.9141 (3.2053)	Prec@1 33.500 (26.639)	Prec@5 62.500 (55.243)
Epoch: [1][1430/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.8743 (3.2047)	Prec@1 32.000 (26.648)	Prec@5 63.500 (55.254)
Epoch: [1][1440/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 3.2264 (3.2048)	Prec@1 25.500 (26.649)	Prec@5 58.500 (55.246)
Epoch: [1][1450/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 3.1720 (3.2045)	Prec@1 23.000 (26.648)	Prec@5 54.000 (55.244)
Epoch: [1][1460/9018]	Time 0.745 (0.616)	Data 0.001 (0.002)	Loss 3.2257 (3.2044)	Prec@1 27.000 (26.648)	Prec@5 53.500 (55.239)
Epoch: [1][1470/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 3.1393 (3.2041)	Prec@1 25.000 (26.654)	Prec@5 56.500 (55.248)
Epoch: [1][1480/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 3.1097 (3.2038)	Prec@1 27.000 (26.657)	Prec@5 57.500 (55.252)
Epoch: [1][1490/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 3.1755 (3.2035)	Prec@1 27.500 (26.661)	Prec@5 52.000 (55.253)
Epoch: [1][1500/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 3.1883 (3.2032)	Prec@1 26.500 (26.666)	Prec@5 57.000 (55.264)
Epoch: [1][1510/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 3.0637 (3.2029)	Prec@1 26.000 (26.667)	Prec@5 55.000 (55.267)
Epoch: [1][1520/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 3.4395 (3.2024)	Prec@1 22.500 (26.673)	Prec@5 50.000 (55.280)
Epoch: [1][1530/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 3.4218 (3.2021)	Prec@1 19.500 (26.669)	Prec@5 48.500 (55.283)
Epoch: [1][1540/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 3.2800 (3.2022)	Prec@1 24.500 (26.677)	Prec@5 54.500 (55.288)
Epoch: [1][1550/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 3.0499 (3.2019)	Prec@1 26.500 (26.678)	Prec@5 58.000 (55.300)
Epoch: [1][1560/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 3.3698 (3.2017)	Prec@1 27.000 (26.684)	Prec@5 51.000 (55.304)
Epoch: [1][1570/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.8888 (3.2016)	Prec@1 31.000 (26.680)	Prec@5 61.000 (55.306)
Epoch: [1][1580/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 3.0975 (3.2013)	Prec@1 27.500 (26.685)	Prec@5 60.500 (55.315)
Epoch: [1][1590/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 3.1362 (3.2009)	Prec@1 31.500 (26.692)	Prec@5 56.500 (55.322)
Epoch: [1][1600/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 3.1969 (3.2009)	Prec@1 26.000 (26.684)	Prec@5 56.000 (55.329)
Epoch: [1][1610/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 3.2517 (3.2009)	Prec@1 26.000 (26.678)	Prec@5 56.000 (55.330)
Epoch: [1][1620/9018]	Time 0.637 (0.616)	Data 0.001 (0.002)	Loss 3.2369 (3.2009)	Prec@1 28.000 (26.680)	Prec@5 57.500 (55.331)
Epoch: [1][1630/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 3.4105 (3.2008)	Prec@1 27.000 (26.689)	Prec@5 51.000 (55.331)
Epoch: [1][1640/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 3.2818 (3.2007)	Prec@1 21.000 (26.689)	Prec@5 52.000 (55.335)
Epoch: [1][1650/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 3.0051 (3.2004)	Prec@1 28.500 (26.691)	Prec@5 60.000 (55.343)
Epoch: [1][1660/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.9839 (3.1999)	Prec@1 29.000 (26.700)	Prec@5 60.000 (55.348)
Epoch: [1][1670/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 3.1054 (3.1998)	Prec@1 30.500 (26.697)	Prec@5 56.500 (55.348)
Epoch: [1][1680/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.9527 (3.1991)	Prec@1 28.000 (26.702)	Prec@5 59.500 (55.358)
Epoch: [1][1690/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 3.1594 (3.1988)	Prec@1 27.500 (26.705)	Prec@5 59.000 (55.366)
Epoch: [1][1700/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 3.1688 (3.1984)	Prec@1 29.500 (26.718)	Prec@5 57.000 (55.376)
Epoch: [1][1710/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 3.0469 (3.1980)	Prec@1 29.500 (26.726)	Prec@5 57.000 (55.382)
Epoch: [1][1720/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 3.1604 (3.1981)	Prec@1 28.000 (26.718)	Prec@5 60.000 (55.375)
Epoch: [1][1730/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 3.0998 (3.1978)	Prec@1 28.000 (26.727)	Prec@5 57.500 (55.376)
Epoch: [1][1740/9018]	Time 0.731 (0.615)	Data 0.001 (0.002)	Loss 3.1973 (3.1973)	Prec@1 23.500 (26.726)	Prec@5 55.000 (55.386)
Epoch: [1][1750/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 3.1912 (3.1969)	Prec@1 30.000 (26.733)	Prec@5 51.500 (55.397)
Epoch: [1][1760/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 3.2902 (3.1966)	Prec@1 24.500 (26.739)	Prec@5 55.000 (55.402)
Epoch: [1][1770/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.9117 (3.1964)	Prec@1 34.500 (26.749)	Prec@5 59.500 (55.407)
Epoch: [1][1780/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.9651 (3.1961)	Prec@1 33.000 (26.758)	Prec@5 63.000 (55.413)
Epoch: [1][1790/9018]	Time 0.718 (0.615)	Data 0.001 (0.002)	Loss 3.1660 (3.1957)	Prec@1 28.000 (26.769)	Prec@5 55.000 (55.419)
Epoch: [1][1800/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 3.2587 (3.1951)	Prec@1 29.500 (26.784)	Prec@5 53.000 (55.433)
Epoch: [1][1810/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.8268 (3.1947)	Prec@1 37.000 (26.793)	Prec@5 64.500 (55.443)
Epoch: [1][1820/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 3.3027 (3.1951)	Prec@1 24.500 (26.785)	Prec@5 51.000 (55.434)
Epoch: [1][1830/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 3.0078 (3.1947)	Prec@1 32.000 (26.788)	Prec@5 56.000 (55.437)
Epoch: [1][1840/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 3.1641 (3.1946)	Prec@1 28.000 (26.788)	Prec@5 57.500 (55.438)
Epoch: [1][1850/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 3.2874 (3.1940)	Prec@1 30.000 (26.803)	Prec@5 51.500 (55.448)
Epoch: [1][1860/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 3.3042 (3.1938)	Prec@1 22.000 (26.810)	Prec@5 50.500 (55.451)
Epoch: [1][1870/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 3.2990 (3.1939)	Prec@1 23.000 (26.807)	Prec@5 52.000 (55.449)
Epoch: [1][1880/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 3.1978 (3.1941)	Prec@1 29.500 (26.807)	Prec@5 56.500 (55.448)
Epoch: [1][1890/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 3.3784 (3.1940)	Prec@1 20.000 (26.802)	Prec@5 50.500 (55.454)
Epoch: [1][1900/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 3.0602 (3.1943)	Prec@1 28.000 (26.802)	Prec@5 60.000 (55.446)
Epoch: [1][1910/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.9681 (3.1941)	Prec@1 26.500 (26.802)	Prec@5 58.000 (55.448)
Epoch: [1][1920/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 3.0813 (3.1939)	Prec@1 28.500 (26.802)	Prec@5 52.000 (55.450)
Epoch: [1][1930/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.9796 (3.1934)	Prec@1 23.000 (26.807)	Prec@5 58.000 (55.454)
Epoch: [1][1940/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.8984 (3.1931)	Prec@1 29.000 (26.811)	Prec@5 61.000 (55.464)
Epoch: [1][1950/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 3.2023 (3.1930)	Prec@1 27.000 (26.813)	Prec@5 53.000 (55.464)
Epoch: [1][1960/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 3.0909 (3.1926)	Prec@1 30.500 (26.818)	Prec@5 60.000 (55.476)
Epoch: [1][1970/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 3.3558 (3.1925)	Prec@1 24.500 (26.820)	Prec@5 53.000 (55.472)
Epoch: [1][1980/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 3.3031 (3.1926)	Prec@1 27.000 (26.822)	Prec@5 57.500 (55.478)
Epoch: [1][1990/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 3.1381 (3.1923)	Prec@1 27.500 (26.827)	Prec@5 59.000 (55.481)
Epoch: [1][2000/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 3.0062 (3.1919)	Prec@1 28.000 (26.831)	Prec@5 60.500 (55.496)
Epoch: [1][2010/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 3.2768 (3.1917)	Prec@1 28.500 (26.833)	Prec@5 53.500 (55.501)
Epoch: [1][2020/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 3.0996 (3.1912)	Prec@1 26.000 (26.840)	Prec@5 60.000 (55.513)
Epoch: [1][2030/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 3.1136 (3.1906)	Prec@1 25.500 (26.847)	Prec@5 57.000 (55.523)
Epoch: [1][2040/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 3.3427 (3.1905)	Prec@1 25.500 (26.844)	Prec@5 53.000 (55.524)
Epoch: [1][2050/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 3.1690 (3.1900)	Prec@1 22.000 (26.842)	Prec@5 57.500 (55.535)
Epoch: [1][2060/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 3.3132 (3.1898)	Prec@1 29.500 (26.844)	Prec@5 54.000 (55.542)
Epoch: [1][2070/9018]	Time 0.739 (0.615)	Data 0.001 (0.002)	Loss 3.0399 (3.1897)	Prec@1 30.000 (26.850)	Prec@5 57.500 (55.545)
Epoch: [1][2080/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 3.3452 (3.1898)	Prec@1 23.000 (26.848)	Prec@5 54.500 (55.541)
Epoch: [1][2090/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 3.2910 (3.1896)	Prec@1 26.500 (26.848)	Prec@5 57.000 (55.537)
Epoch: [1][2100/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 3.2380 (3.1893)	Prec@1 25.000 (26.853)	Prec@5 54.500 (55.545)
Epoch: [1][2110/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 3.0384 (3.1892)	Prec@1 28.000 (26.855)	Prec@5 60.500 (55.552)
Epoch: [1][2120/9018]	Time 0.760 (0.615)	Data 0.001 (0.002)	Loss 2.9451 (3.1887)	Prec@1 30.500 (26.860)	Prec@5 64.500 (55.562)
Epoch: [1][2130/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 3.1566 (3.1881)	Prec@1 23.500 (26.870)	Prec@5 58.000 (55.578)
Epoch: [1][2140/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 3.2581 (3.1877)	Prec@1 26.500 (26.878)	Prec@5 53.000 (55.585)
Epoch: [1][2150/9018]	Time 0.641 (0.615)	Data 0.001 (0.002)	Loss 3.2723 (3.1875)	Prec@1 24.000 (26.881)	Prec@5 49.000 (55.590)
Epoch: [1][2160/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 3.1999 (3.1874)	Prec@1 32.000 (26.886)	Prec@5 55.000 (55.593)
Epoch: [1][2170/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 3.4425 (3.1873)	Prec@1 21.500 (26.884)	Prec@5 51.000 (55.594)
Epoch: [1][2180/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.9382 (3.1874)	Prec@1 31.000 (26.886)	Prec@5 58.500 (55.593)
Epoch: [1][2190/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 3.1422 (3.1872)	Prec@1 28.500 (26.889)	Prec@5 58.500 (55.594)
Epoch: [1][2200/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 3.2384 (3.1872)	Prec@1 26.500 (26.893)	Prec@5 56.500 (55.594)
Epoch: [1][2210/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 3.3266 (3.1872)	Prec@1 23.000 (26.900)	Prec@5 52.000 (55.595)
Epoch: [1][2220/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 3.0961 (3.1865)	Prec@1 29.500 (26.910)	Prec@5 54.500 (55.610)
Epoch: [1][2230/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 3.0526 (3.1860)	Prec@1 28.500 (26.919)	Prec@5 60.500 (55.625)
Epoch: [1][2240/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 3.0737 (3.1855)	Prec@1 30.000 (26.924)	Prec@5 57.000 (55.635)
Epoch: [1][2250/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 3.4452 (3.1851)	Prec@1 20.000 (26.930)	Prec@5 48.000 (55.635)
Epoch: [1][2260/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 3.1080 (3.1850)	Prec@1 25.500 (26.923)	Prec@5 57.500 (55.638)
Epoch: [1][2270/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 3.1410 (3.1846)	Prec@1 30.000 (26.932)	Prec@5 56.000 (55.646)
Epoch: [1][2280/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 3.2647 (3.1845)	Prec@1 25.000 (26.933)	Prec@5 50.000 (55.647)
Epoch: [1][2290/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.9892 (3.1842)	Prec@1 33.500 (26.947)	Prec@5 60.000 (55.655)
Epoch: [1][2300/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 3.1490 (3.1840)	Prec@1 28.500 (26.947)	Prec@5 52.500 (55.650)
Epoch: [1][2310/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.8100 (3.1837)	Prec@1 36.000 (26.954)	Prec@5 64.000 (55.657)
Epoch: [1][2320/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.9603 (3.1836)	Prec@1 31.500 (26.954)	Prec@5 58.500 (55.661)
Epoch: [1][2330/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 3.1315 (3.1835)	Prec@1 26.000 (26.950)	Prec@5 60.500 (55.661)
Epoch: [1][2340/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 3.2218 (3.1837)	Prec@1 23.500 (26.944)	Prec@5 57.000 (55.658)
Epoch: [1][2350/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 3.0998 (3.1839)	Prec@1 25.500 (26.935)	Prec@5 59.000 (55.653)
Epoch: [1][2360/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 3.3104 (3.1834)	Prec@1 25.500 (26.941)	Prec@5 55.000 (55.668)
Epoch: [1][2370/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 3.2824 (3.1835)	Prec@1 22.000 (26.937)	Prec@5 55.000 (55.666)
Epoch: [1][2380/9018]	Time 0.636 (0.615)	Data 0.001 (0.002)	Loss 3.2695 (3.1832)	Prec@1 23.000 (26.938)	Prec@5 54.000 (55.671)
Epoch: [1][2390/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 3.1281 (3.1834)	Prec@1 32.000 (26.932)	Prec@5 57.000 (55.658)
Epoch: [1][2400/9018]	Time 0.728 (0.615)	Data 0.001 (0.002)	Loss 3.0275 (3.1832)	Prec@1 31.000 (26.937)	Prec@5 59.500 (55.666)
Epoch: [1][2410/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.7634 (3.1829)	Prec@1 33.500 (26.936)	Prec@5 64.500 (55.676)
Epoch: [1][2420/9018]	Time 0.640 (0.615)	Data 0.001 (0.002)	Loss 2.8511 (3.1824)	Prec@1 33.000 (26.942)	Prec@5 62.500 (55.688)
Epoch: [1][2430/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.8862 (3.1819)	Prec@1 32.500 (26.955)	Prec@5 58.500 (55.699)
Epoch: [1][2440/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 3.1614 (3.1819)	Prec@1 27.000 (26.960)	Prec@5 54.500 (55.697)
Epoch: [1][2450/9018]	Time 0.725 (0.615)	Data 0.001 (0.002)	Loss 3.1349 (3.1819)	Prec@1 28.000 (26.966)	Prec@5 58.500 (55.694)
Epoch: [1][2460/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 3.4437 (3.1819)	Prec@1 25.500 (26.963)	Prec@5 51.000 (55.696)
Epoch: [1][2470/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 3.1593 (3.1818)	Prec@1 27.500 (26.964)	Prec@5 54.000 (55.698)
Epoch: [1][2480/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.9702 (3.1814)	Prec@1 28.500 (26.967)	Prec@5 60.000 (55.705)
Epoch: [1][2490/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 3.2246 (3.1814)	Prec@1 26.500 (26.969)	Prec@5 55.000 (55.705)
Epoch: [1][2500/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 3.2342 (3.1810)	Prec@1 26.000 (26.978)	Prec@5 56.000 (55.714)
Epoch: [1][2510/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.9885 (3.1807)	Prec@1 35.500 (26.981)	Prec@5 62.500 (55.723)
Epoch: [1][2520/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 3.0978 (3.1805)	Prec@1 26.500 (26.987)	Prec@5 58.500 (55.728)
Epoch: [1][2530/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.8916 (3.1803)	Prec@1 33.500 (26.992)	Prec@5 62.500 (55.733)
Epoch: [1][2540/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 3.1676 (3.1801)	Prec@1 24.500 (26.995)	Prec@5 55.500 (55.732)
Epoch: [1][2550/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 3.1653 (3.1798)	Prec@1 27.500 (26.999)	Prec@5 55.000 (55.742)
Epoch: [1][2560/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 3.0123 (3.1795)	Prec@1 28.000 (27.003)	Prec@5 56.000 (55.751)
Epoch: [1][2570/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 3.1692 (3.1794)	Prec@1 27.000 (27.003)	Prec@5 57.000 (55.753)
Epoch: [1][2580/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 3.1402 (3.1792)	Prec@1 28.000 (27.007)	Prec@5 55.500 (55.756)
Epoch: [1][2590/9018]	Time 0.604 (0.615)	Data 0.002 (0.002)	Loss 2.9474 (3.1788)	Prec@1 31.500 (27.014)	Prec@5 61.500 (55.765)
Epoch: [1][2600/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 3.0220 (3.1785)	Prec@1 34.000 (27.021)	Prec@5 61.500 (55.771)
Epoch: [1][2610/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 3.1754 (3.1780)	Prec@1 27.500 (27.027)	Prec@5 54.500 (55.778)
Epoch: [1][2620/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 3.1071 (3.1777)	Prec@1 31.000 (27.030)	Prec@5 60.000 (55.783)
Epoch: [1][2630/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 3.1426 (3.1774)	Prec@1 29.000 (27.033)	Prec@5 53.500 (55.782)
Epoch: [1][2640/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 3.2367 (3.1770)	Prec@1 28.000 (27.039)	Prec@5 55.500 (55.788)
Epoch: [1][2650/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 3.0007 (3.1764)	Prec@1 31.000 (27.050)	Prec@5 60.000 (55.802)
Epoch: [1][2660/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 3.2553 (3.1761)	Prec@1 24.000 (27.054)	Prec@5 57.500 (55.813)
Epoch: [1][2670/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 3.1804 (3.1757)	Prec@1 23.500 (27.063)	Prec@5 55.500 (55.823)
Epoch: [1][2680/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 3.2278 (3.1755)	Prec@1 26.500 (27.073)	Prec@5 56.500 (55.826)
Epoch: [1][2690/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 3.0611 (3.1751)	Prec@1 26.000 (27.080)	Prec@5 57.500 (55.833)
Epoch: [1][2700/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 3.1918 (3.1749)	Prec@1 28.500 (27.084)	Prec@5 56.500 (55.835)
Epoch: [1][2710/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 3.1419 (3.1747)	Prec@1 29.000 (27.087)	Prec@5 61.000 (55.845)
Epoch: [1][2720/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.9605 (3.1745)	Prec@1 33.500 (27.091)	Prec@5 59.000 (55.850)
Epoch: [1][2730/9018]	Time 0.754 (0.615)	Data 0.001 (0.002)	Loss 2.9046 (3.1742)	Prec@1 32.500 (27.096)	Prec@5 63.500 (55.860)
Epoch: [1][2740/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 3.0356 (3.1740)	Prec@1 29.500 (27.098)	Prec@5 59.500 (55.867)
Epoch: [1][2750/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 3.1753 (3.1736)	Prec@1 28.000 (27.106)	Prec@5 56.000 (55.875)
Epoch: [1][2760/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 3.2520 (3.1735)	Prec@1 24.500 (27.110)	Prec@5 55.000 (55.875)
Epoch: [1][2770/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 3.1639 (3.1731)	Prec@1 30.000 (27.116)	Prec@5 52.500 (55.882)
Epoch: [1][2780/9018]	Time 0.724 (0.615)	Data 0.001 (0.002)	Loss 3.0552 (3.1731)	Prec@1 29.500 (27.115)	Prec@5 62.000 (55.881)
Epoch: [1][2790/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.8855 (3.1729)	Prec@1 30.000 (27.120)	Prec@5 63.500 (55.886)
Epoch: [1][2800/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 3.0315 (3.1727)	Prec@1 27.000 (27.126)	Prec@5 55.500 (55.890)
Epoch: [1][2810/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 3.2532 (3.1725)	Prec@1 23.500 (27.131)	Prec@5 48.500 (55.893)
Epoch: [1][2820/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 3.1371 (3.1724)	Prec@1 28.000 (27.133)	Prec@5 55.500 (55.895)
Epoch: [1][2830/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 3.1377 (3.1723)	Prec@1 33.500 (27.140)	Prec@5 57.500 (55.901)
Epoch: [1][2840/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 3.0767 (3.1722)	Prec@1 23.500 (27.136)	Prec@5 56.500 (55.900)
Epoch: [1][2850/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.9205 (3.1720)	Prec@1 35.000 (27.141)	Prec@5 61.500 (55.905)
Epoch: [1][2860/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 3.2866 (3.1717)	Prec@1 25.000 (27.142)	Prec@5 55.000 (55.911)
Epoch: [1][2870/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 3.1291 (3.1715)	Prec@1 27.000 (27.147)	Prec@5 54.500 (55.920)
Epoch: [1][2880/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.9882 (3.1714)	Prec@1 27.500 (27.145)	Prec@5 62.500 (55.921)
Epoch: [1][2890/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 3.1633 (3.1713)	Prec@1 27.500 (27.152)	Prec@5 56.000 (55.926)
Epoch: [1][2900/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.9907 (3.1710)	Prec@1 34.500 (27.158)	Prec@5 59.000 (55.933)
Epoch: [1][2910/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 3.0104 (3.1706)	Prec@1 28.500 (27.168)	Prec@5 58.500 (55.941)
Epoch: [1][2920/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.8169 (3.1703)	Prec@1 30.000 (27.175)	Prec@5 61.000 (55.950)
Epoch: [1][2930/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 3.0144 (3.1701)	Prec@1 36.500 (27.177)	Prec@5 59.500 (55.952)
Epoch: [1][2940/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 3.0630 (3.1698)	Prec@1 25.500 (27.181)	Prec@5 60.000 (55.960)
Epoch: [1][2950/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 3.1967 (3.1695)	Prec@1 27.500 (27.186)	Prec@5 58.000 (55.968)
Epoch: [1][2960/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 3.1277 (3.1691)	Prec@1 27.000 (27.190)	Prec@5 55.000 (55.978)
Epoch: [1][2970/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 3.1016 (3.1689)	Prec@1 27.500 (27.192)	Prec@5 62.000 (55.983)
Epoch: [1][2980/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 3.0152 (3.1686)	Prec@1 27.000 (27.192)	Prec@5 57.000 (55.985)
Epoch: [1][2990/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.9453 (3.1681)	Prec@1 27.000 (27.197)	Prec@5 59.000 (55.994)
Epoch: [1][3000/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 3.0506 (3.1680)	Prec@1 28.500 (27.200)	Prec@5 59.000 (55.994)
Epoch: [1][3010/9018]	Time 0.641 (0.615)	Data 0.001 (0.002)	Loss 3.0999 (3.1679)	Prec@1 27.000 (27.201)	Prec@5 57.500 (55.997)
Epoch: [1][3020/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 3.1564 (3.1677)	Prec@1 27.000 (27.204)	Prec@5 54.500 (56.000)
Epoch: [1][3030/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 3.2446 (3.1676)	Prec@1 27.500 (27.209)	Prec@5 59.000 (56.004)
Epoch: [1][3040/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 3.0002 (3.1673)	Prec@1 25.000 (27.211)	Prec@5 58.500 (56.009)
Epoch: [1][3050/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 3.0859 (3.1669)	Prec@1 35.000 (27.221)	Prec@5 57.000 (56.015)
Epoch: [1][3060/9018]	Time 0.695 (0.615)	Data 0.001 (0.002)	Loss 3.0873 (3.1668)	Prec@1 27.000 (27.224)	Prec@5 53.500 (56.019)
Epoch: [1][3070/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 3.1416 (3.1662)	Prec@1 29.500 (27.235)	Prec@5 56.000 (56.030)
Epoch: [1][3080/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 3.1084 (3.1658)	Prec@1 22.500 (27.238)	Prec@5 57.000 (56.036)
Epoch: [1][3090/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 3.1767 (3.1657)	Prec@1 27.000 (27.240)	Prec@5 54.500 (56.037)
Epoch: [1][3100/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 3.0764 (3.1654)	Prec@1 30.500 (27.240)	Prec@5 59.000 (56.042)
Epoch: [1][3110/9018]	Time 0.723 (0.615)	Data 0.001 (0.002)	Loss 2.9464 (3.1652)	Prec@1 29.000 (27.245)	Prec@5 61.500 (56.048)
Epoch: [1][3120/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.9577 (3.1650)	Prec@1 34.000 (27.249)	Prec@5 60.500 (56.052)
Epoch: [1][3130/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.8610 (3.1648)	Prec@1 30.500 (27.254)	Prec@5 63.500 (56.055)
Epoch: [1][3140/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 3.3478 (3.1646)	Prec@1 20.000 (27.257)	Prec@5 58.500 (56.068)
Epoch: [1][3150/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 3.2302 (3.1645)	Prec@1 25.000 (27.255)	Prec@5 54.000 (56.070)
Epoch: [1][3160/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 3.0561 (3.1643)	Prec@1 27.500 (27.258)	Prec@5 60.000 (56.072)
Epoch: [1][3170/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 3.1215 (3.1640)	Prec@1 32.000 (27.265)	Prec@5 56.000 (56.079)
Epoch: [1][3180/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 3.1908 (3.1639)	Prec@1 24.500 (27.268)	Prec@5 55.500 (56.085)
Epoch: [1][3190/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 3.0277 (3.1635)	Prec@1 28.500 (27.269)	Prec@5 57.000 (56.092)
Epoch: [1][3200/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8708 (3.1633)	Prec@1 31.500 (27.274)	Prec@5 66.000 (56.096)
Epoch: [1][3210/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 3.0005 (3.1630)	Prec@1 29.500 (27.275)	Prec@5 57.000 (56.099)
Epoch: [1][3220/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 3.0486 (3.1629)	Prec@1 26.000 (27.276)	Prec@5 52.000 (56.099)
Epoch: [1][3230/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 3.0188 (3.1627)	Prec@1 31.000 (27.278)	Prec@5 60.000 (56.101)
Epoch: [1][3240/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.2699 (3.1625)	Prec@1 25.000 (27.283)	Prec@5 55.000 (56.108)
Epoch: [1][3250/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.9075 (3.1623)	Prec@1 30.000 (27.287)	Prec@5 63.500 (56.111)
Epoch: [1][3260/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.9489 (3.1620)	Prec@1 30.000 (27.295)	Prec@5 60.000 (56.118)
Epoch: [1][3270/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 3.1247 (3.1616)	Prec@1 24.500 (27.303)	Prec@5 63.500 (56.126)
Epoch: [1][3280/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.1335 (3.1615)	Prec@1 23.500 (27.306)	Prec@5 52.000 (56.127)
Epoch: [1][3290/9018]	Time 0.608 (0.615)	Data 0.004 (0.001)	Loss 3.0056 (3.1610)	Prec@1 28.500 (27.313)	Prec@5 59.000 (56.139)
Epoch: [1][3300/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.3062 (3.1611)	Prec@1 24.500 (27.309)	Prec@5 52.000 (56.136)
Epoch: [1][3310/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.9891 (3.1606)	Prec@1 28.500 (27.318)	Prec@5 55.500 (56.144)
Epoch: [1][3320/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 3.1943 (3.1603)	Prec@1 26.000 (27.325)	Prec@5 53.500 (56.149)
Epoch: [1][3330/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 3.0809 (3.1599)	Prec@1 26.500 (27.326)	Prec@5 58.500 (56.159)
Epoch: [1][3340/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 3.1780 (3.1598)	Prec@1 30.000 (27.331)	Prec@5 54.000 (56.160)
Epoch: [1][3350/9018]	Time 0.596 (0.615)	Data 0.002 (0.001)	Loss 3.1035 (3.1598)	Prec@1 26.000 (27.331)	Prec@5 57.000 (56.162)
Epoch: [1][3360/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.1328 (3.1596)	Prec@1 29.500 (27.340)	Prec@5 57.000 (56.162)
Epoch: [1][3370/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.9290 (3.1595)	Prec@1 32.500 (27.338)	Prec@5 61.500 (56.166)
Epoch: [1][3380/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 3.0137 (3.1593)	Prec@1 30.000 (27.344)	Prec@5 56.500 (56.169)
Epoch: [1][3390/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 3.0247 (3.1590)	Prec@1 27.000 (27.348)	Prec@5 61.000 (56.175)
Epoch: [1][3400/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 3.1420 (3.1589)	Prec@1 25.500 (27.348)	Prec@5 55.500 (56.174)
Epoch: [1][3410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.0879 (3.1585)	Prec@1 28.500 (27.353)	Prec@5 58.000 (56.181)
Epoch: [1][3420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.9603 (3.1581)	Prec@1 30.500 (27.362)	Prec@5 60.000 (56.191)
Epoch: [1][3430/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 3.0419 (3.1579)	Prec@1 28.500 (27.364)	Prec@5 61.000 (56.198)
Epoch: [1][3440/9018]	Time 0.769 (0.615)	Data 0.001 (0.001)	Loss 3.1600 (3.1577)	Prec@1 27.500 (27.366)	Prec@5 53.500 (56.201)
Epoch: [1][3450/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 3.0296 (3.1575)	Prec@1 29.500 (27.372)	Prec@5 63.500 (56.204)
Epoch: [1][3460/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.0278 (3.1574)	Prec@1 28.500 (27.370)	Prec@5 59.500 (56.206)
Epoch: [1][3470/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 3.2054 (3.1573)	Prec@1 28.000 (27.370)	Prec@5 57.500 (56.208)
Epoch: [1][3480/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.9205 (3.1570)	Prec@1 31.500 (27.374)	Prec@5 60.000 (56.214)
Epoch: [1][3490/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.9118 (3.1567)	Prec@1 31.500 (27.377)	Prec@5 61.000 (56.219)
Epoch: [1][3500/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.9765 (3.1565)	Prec@1 27.500 (27.376)	Prec@5 63.000 (56.223)
Epoch: [1][3510/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.3427 (3.1563)	Prec@1 27.000 (27.382)	Prec@5 53.500 (56.224)
Epoch: [1][3520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8903 (3.1561)	Prec@1 30.000 (27.389)	Prec@5 59.500 (56.226)
Epoch: [1][3530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7890 (3.1556)	Prec@1 31.500 (27.399)	Prec@5 63.500 (56.234)
Epoch: [1][3540/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 3.0056 (3.1553)	Prec@1 30.500 (27.408)	Prec@5 60.500 (56.243)
Epoch: [1][3550/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.0636 (3.1550)	Prec@1 28.500 (27.410)	Prec@5 57.500 (56.248)
Epoch: [1][3560/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8180 (3.1547)	Prec@1 37.000 (27.418)	Prec@5 64.000 (56.259)
Epoch: [1][3570/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 3.2439 (3.1545)	Prec@1 26.000 (27.423)	Prec@5 52.000 (56.262)
Epoch: [1][3580/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 3.0158 (3.1543)	Prec@1 32.000 (27.430)	Prec@5 62.500 (56.266)
Epoch: [1][3590/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9004 (3.1543)	Prec@1 32.000 (27.431)	Prec@5 64.500 (56.272)
Epoch: [1][3600/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 3.0850 (3.1540)	Prec@1 29.500 (27.435)	Prec@5 54.000 (56.277)
Epoch: [1][3610/9018]	Time 0.645 (0.615)	Data 0.001 (0.001)	Loss 3.2370 (3.1539)	Prec@1 23.500 (27.436)	Prec@5 53.000 (56.280)
Epoch: [1][3620/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.1006 (3.1537)	Prec@1 28.500 (27.438)	Prec@5 54.000 (56.279)
Epoch: [1][3630/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.3501 (3.1536)	Prec@1 23.500 (27.440)	Prec@5 52.500 (56.284)
Epoch: [1][3640/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.0596 (3.1535)	Prec@1 31.000 (27.447)	Prec@5 59.000 (56.287)
Epoch: [1][3650/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 3.1704 (3.1531)	Prec@1 28.500 (27.455)	Prec@5 54.500 (56.292)
Epoch: [1][3660/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.0482 (3.1526)	Prec@1 29.000 (27.465)	Prec@5 60.000 (56.307)
Epoch: [1][3670/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.1067 (3.1521)	Prec@1 28.000 (27.473)	Prec@5 56.500 (56.313)
Epoch: [1][3680/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 3.3006 (3.1521)	Prec@1 23.500 (27.476)	Prec@5 54.500 (56.315)
Epoch: [1][3690/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 3.4771 (3.1520)	Prec@1 24.000 (27.477)	Prec@5 51.500 (56.320)
Epoch: [1][3700/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 3.2077 (3.1518)	Prec@1 27.500 (27.483)	Prec@5 56.000 (56.324)
Epoch: [1][3710/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.9895 (3.1513)	Prec@1 30.000 (27.490)	Prec@5 60.500 (56.333)
Epoch: [1][3720/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 3.0208 (3.1510)	Prec@1 26.000 (27.495)	Prec@5 59.000 (56.337)
Epoch: [1][3730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.3274 (3.1512)	Prec@1 27.000 (27.494)	Prec@5 52.000 (56.334)
Epoch: [1][3740/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 3.2102 (3.1509)	Prec@1 24.000 (27.497)	Prec@5 55.000 (56.341)
Epoch: [1][3750/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 3.0360 (3.1509)	Prec@1 29.500 (27.500)	Prec@5 56.500 (56.341)
Epoch: [1][3760/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 3.0856 (3.1508)	Prec@1 22.500 (27.500)	Prec@5 61.500 (56.345)
Epoch: [1][3770/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 3.0801 (3.1505)	Prec@1 26.500 (27.505)	Prec@5 53.500 (56.350)
Epoch: [1][3780/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 3.0663 (3.1502)	Prec@1 30.000 (27.510)	Prec@5 57.000 (56.358)
Epoch: [1][3790/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9981 (3.1499)	Prec@1 31.000 (27.514)	Prec@5 65.000 (56.364)
Epoch: [1][3800/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 3.1942 (3.1497)	Prec@1 23.000 (27.518)	Prec@5 60.000 (56.368)
Epoch: [1][3810/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 3.0905 (3.1496)	Prec@1 29.500 (27.519)	Prec@5 53.000 (56.370)
Epoch: [1][3820/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9803 (3.1495)	Prec@1 33.500 (27.525)	Prec@5 59.500 (56.372)
Epoch: [1][3830/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 3.2113 (3.1492)	Prec@1 26.000 (27.529)	Prec@5 54.000 (56.379)
Epoch: [1][3840/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 3.0330 (3.1490)	Prec@1 27.500 (27.534)	Prec@5 61.000 (56.386)
Epoch: [1][3850/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.9898 (3.1489)	Prec@1 29.500 (27.540)	Prec@5 56.000 (56.389)
Epoch: [1][3860/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.8688 (3.1485)	Prec@1 28.000 (27.546)	Prec@5 58.500 (56.394)
Epoch: [1][3870/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 3.0122 (3.1483)	Prec@1 33.500 (27.549)	Prec@5 62.000 (56.397)
Epoch: [1][3880/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 3.1244 (3.1480)	Prec@1 25.000 (27.553)	Prec@5 58.000 (56.403)
Epoch: [1][3890/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 3.1843 (3.1478)	Prec@1 26.500 (27.558)	Prec@5 51.000 (56.407)
Epoch: [1][3900/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.2277 (3.1475)	Prec@1 27.000 (27.562)	Prec@5 55.000 (56.417)
Epoch: [1][3910/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.0080 (3.1473)	Prec@1 26.000 (27.565)	Prec@5 61.500 (56.423)
Epoch: [1][3920/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 3.0141 (3.1469)	Prec@1 26.500 (27.570)	Prec@5 60.000 (56.431)
Epoch: [1][3930/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8146 (3.1468)	Prec@1 33.500 (27.573)	Prec@5 64.000 (56.433)
Epoch: [1][3940/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 3.0419 (3.1465)	Prec@1 30.000 (27.580)	Prec@5 60.000 (56.436)
Epoch: [1][3950/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 3.1801 (3.1463)	Prec@1 23.000 (27.580)	Prec@5 57.500 (56.442)
Epoch: [1][3960/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.9725 (3.1460)	Prec@1 32.500 (27.587)	Prec@5 58.500 (56.448)
Epoch: [1][3970/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.0561 (3.1459)	Prec@1 30.000 (27.592)	Prec@5 57.500 (56.451)
Epoch: [1][3980/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.9579 (3.1456)	Prec@1 31.000 (27.598)	Prec@5 56.000 (56.455)
Epoch: [1][3990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.1213 (3.1454)	Prec@1 28.500 (27.606)	Prec@5 58.500 (56.461)
Epoch: [1][4000/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 3.0926 (3.1451)	Prec@1 28.000 (27.609)	Prec@5 59.000 (56.468)
Epoch: [1][4010/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.0064 (3.1447)	Prec@1 30.500 (27.613)	Prec@5 60.000 (56.476)
Epoch: [1][4020/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9165 (3.1447)	Prec@1 30.500 (27.614)	Prec@5 59.500 (56.475)
Epoch: [1][4030/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 3.1206 (3.1443)	Prec@1 23.500 (27.616)	Prec@5 54.000 (56.480)
Epoch: [1][4040/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 3.0153 (3.1440)	Prec@1 33.000 (27.621)	Prec@5 59.500 (56.484)
Epoch: [1][4050/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 3.2397 (3.1440)	Prec@1 24.500 (27.624)	Prec@5 54.500 (56.489)
Epoch: [1][4060/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 3.0248 (3.1437)	Prec@1 28.000 (27.627)	Prec@5 59.000 (56.496)
Epoch: [1][4070/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.1509 (3.1435)	Prec@1 25.000 (27.628)	Prec@5 55.500 (56.499)
Epoch: [1][4080/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 3.0951 (3.1434)	Prec@1 28.000 (27.630)	Prec@5 57.500 (56.500)
Epoch: [1][4090/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.0858 (3.1434)	Prec@1 30.000 (27.632)	Prec@5 56.000 (56.499)
Epoch: [1][4100/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 3.1229 (3.1433)	Prec@1 24.500 (27.635)	Prec@5 60.000 (56.501)
Epoch: [1][4110/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.8846 (3.1428)	Prec@1 31.000 (27.638)	Prec@5 60.500 (56.507)
Epoch: [1][4120/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.8583 (3.1426)	Prec@1 31.000 (27.641)	Prec@5 63.500 (56.512)
Epoch: [1][4130/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9202 (3.1424)	Prec@1 29.000 (27.644)	Prec@5 62.000 (56.514)
Epoch: [1][4140/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 3.0269 (3.1422)	Prec@1 26.000 (27.650)	Prec@5 58.500 (56.518)
Epoch: [1][4150/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.0598 (3.1420)	Prec@1 28.000 (27.652)	Prec@5 59.000 (56.521)
Epoch: [1][4160/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 3.0428 (3.1418)	Prec@1 26.000 (27.653)	Prec@5 58.000 (56.524)
Epoch: [1][4170/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 3.3113 (3.1417)	Prec@1 21.500 (27.656)	Prec@5 50.500 (56.529)
Epoch: [1][4180/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9604 (3.1415)	Prec@1 26.500 (27.656)	Prec@5 62.500 (56.533)
Epoch: [1][4190/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9847 (3.1415)	Prec@1 31.000 (27.658)	Prec@5 60.000 (56.531)
Epoch: [1][4200/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.8392 (3.1412)	Prec@1 31.500 (27.661)	Prec@5 64.500 (56.540)
Epoch: [1][4210/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.9167 (3.1408)	Prec@1 32.500 (27.668)	Prec@5 60.000 (56.547)
Epoch: [1][4220/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8629 (3.1404)	Prec@1 30.500 (27.675)	Prec@5 65.000 (56.558)
Epoch: [1][4230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.1282 (3.1401)	Prec@1 28.000 (27.680)	Prec@5 57.500 (56.564)
Epoch: [1][4240/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9367 (3.1399)	Prec@1 27.500 (27.682)	Prec@5 58.500 (56.568)
Epoch: [1][4250/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.9998 (3.1397)	Prec@1 33.000 (27.688)	Prec@5 58.000 (56.573)
Epoch: [1][4260/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.3411 (3.1397)	Prec@1 26.000 (27.690)	Prec@5 49.000 (56.572)
Epoch: [1][4270/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.1623 (3.1395)	Prec@1 29.000 (27.695)	Prec@5 53.000 (56.575)
Epoch: [1][4280/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 3.2191 (3.1393)	Prec@1 29.000 (27.701)	Prec@5 52.500 (56.576)
Epoch: [1][4290/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 3.0568 (3.1391)	Prec@1 32.000 (27.707)	Prec@5 56.000 (56.581)
Epoch: [1][4300/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.9070 (3.1389)	Prec@1 30.000 (27.708)	Prec@5 61.000 (56.585)
Epoch: [1][4310/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.0902 (3.1386)	Prec@1 27.500 (27.714)	Prec@5 60.500 (56.594)
Epoch: [1][4320/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.9728 (3.1383)	Prec@1 31.500 (27.719)	Prec@5 61.000 (56.600)
Epoch: [1][4330/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 3.2776 (3.1382)	Prec@1 24.500 (27.723)	Prec@5 56.500 (56.604)
Epoch: [1][4340/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9746 (3.1379)	Prec@1 28.500 (27.728)	Prec@5 58.000 (56.613)
Epoch: [1][4350/9018]	Time 0.613 (0.615)	Data 0.002 (0.001)	Loss 2.8569 (3.1377)	Prec@1 33.000 (27.732)	Prec@5 62.000 (56.616)
Epoch: [1][4360/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.9536 (3.1374)	Prec@1 31.000 (27.737)	Prec@5 64.000 (56.621)
Epoch: [1][4370/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8030 (3.1371)	Prec@1 36.000 (27.742)	Prec@5 62.000 (56.625)
Epoch: [1][4380/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.9594 (3.1369)	Prec@1 33.000 (27.746)	Prec@5 58.500 (56.629)
Epoch: [1][4390/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 3.0063 (3.1366)	Prec@1 29.000 (27.751)	Prec@5 59.000 (56.637)
Epoch: [1][4400/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.9156 (3.1360)	Prec@1 32.000 (27.758)	Prec@5 60.500 (56.647)
Epoch: [1][4410/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.1006 (3.1357)	Prec@1 28.000 (27.762)	Prec@5 57.500 (56.651)
Epoch: [1][4420/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 3.1235 (3.1354)	Prec@1 26.000 (27.766)	Prec@5 59.500 (56.656)
Epoch: [1][4430/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 3.2410 (3.1352)	Prec@1 23.500 (27.769)	Prec@5 52.500 (56.660)
Epoch: [1][4440/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.9317 (3.1348)	Prec@1 33.000 (27.777)	Prec@5 59.000 (56.671)
Epoch: [1][4450/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 3.1360 (3.1347)	Prec@1 23.000 (27.779)	Prec@5 56.500 (56.674)
Epoch: [1][4460/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 3.1554 (3.1344)	Prec@1 30.000 (27.784)	Prec@5 56.500 (56.678)
Epoch: [1][4470/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9216 (3.1342)	Prec@1 35.000 (27.788)	Prec@5 65.000 (56.684)
Epoch: [1][4480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.1257 (3.1340)	Prec@1 30.000 (27.788)	Prec@5 58.500 (56.688)
Epoch: [1][4490/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 3.2693 (3.1340)	Prec@1 28.500 (27.791)	Prec@5 52.000 (56.686)
Epoch: [1][4500/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 3.0938 (3.1337)	Prec@1 28.500 (27.796)	Prec@5 56.500 (56.691)
Epoch: [1][4510/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 3.2979 (3.1335)	Prec@1 24.500 (27.799)	Prec@5 51.500 (56.693)
Epoch: [1][4520/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.0914 (3.1335)	Prec@1 30.000 (27.803)	Prec@5 63.500 (56.698)
Epoch: [1][4530/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 3.0924 (3.1332)	Prec@1 34.000 (27.810)	Prec@5 60.000 (56.704)
Epoch: [1][4540/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 3.1029 (3.1332)	Prec@1 29.000 (27.810)	Prec@5 55.000 (56.702)
Epoch: [1][4550/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.0200 (3.1330)	Prec@1 29.500 (27.812)	Prec@5 63.000 (56.710)
Epoch: [1][4560/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 3.0674 (3.1327)	Prec@1 28.000 (27.818)	Prec@5 59.000 (56.717)
Epoch: [1][4570/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 3.0131 (3.1324)	Prec@1 33.500 (27.821)	Prec@5 59.500 (56.723)
Epoch: [1][4580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.1455 (3.1322)	Prec@1 28.500 (27.823)	Prec@5 55.500 (56.725)
Epoch: [1][4590/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 3.2173 (3.1320)	Prec@1 25.500 (27.826)	Prec@5 54.000 (56.731)
Epoch: [1][4600/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 3.0338 (3.1318)	Prec@1 31.500 (27.830)	Prec@5 61.000 (56.735)
Epoch: [1][4610/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 3.2214 (3.1316)	Prec@1 26.000 (27.834)	Prec@5 55.500 (56.738)
Epoch: [1][4620/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8298 (3.1312)	Prec@1 31.000 (27.837)	Prec@5 62.500 (56.744)
Epoch: [1][4630/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.9925 (3.1310)	Prec@1 31.000 (27.842)	Prec@5 59.500 (56.750)
Epoch: [1][4640/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 3.1168 (3.1310)	Prec@1 25.000 (27.843)	Prec@5 57.500 (56.750)
Epoch: [1][4650/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.0568 (3.1308)	Prec@1 29.000 (27.845)	Prec@5 61.000 (56.754)
Epoch: [1][4660/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8082 (3.1305)	Prec@1 36.000 (27.851)	Prec@5 60.500 (56.760)
Epoch: [1][4670/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 3.0716 (3.1303)	Prec@1 29.000 (27.857)	Prec@5 57.000 (56.766)
Epoch: [1][4680/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 3.0141 (3.1301)	Prec@1 29.000 (27.856)	Prec@5 54.000 (56.766)
Epoch: [1][4690/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 3.1946 (3.1300)	Prec@1 24.500 (27.857)	Prec@5 58.000 (56.771)
Epoch: [1][4700/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.2695 (3.1298)	Prec@1 27.000 (27.858)	Prec@5 53.500 (56.776)
Epoch: [1][4710/9018]	Time 0.767 (0.615)	Data 0.001 (0.001)	Loss 2.9519 (3.1295)	Prec@1 26.500 (27.865)	Prec@5 58.000 (56.783)
Epoch: [1][4720/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9680 (3.1292)	Prec@1 30.500 (27.871)	Prec@5 63.500 (56.791)
Epoch: [1][4730/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 3.1460 (3.1289)	Prec@1 26.500 (27.874)	Prec@5 55.500 (56.795)
Epoch: [1][4740/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 3.0390 (3.1287)	Prec@1 33.000 (27.879)	Prec@5 58.000 (56.800)
Epoch: [1][4750/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9664 (3.1286)	Prec@1 30.000 (27.878)	Prec@5 57.000 (56.800)
Epoch: [1][4760/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 2.8799 (3.1284)	Prec@1 36.000 (27.883)	Prec@5 59.000 (56.803)
Epoch: [1][4770/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 3.0622 (3.1282)	Prec@1 29.500 (27.887)	Prec@5 60.500 (56.807)
Epoch: [1][4780/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 3.2077 (3.1283)	Prec@1 27.500 (27.887)	Prec@5 58.500 (56.809)
Epoch: [1][4790/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 3.3425 (3.1282)	Prec@1 22.000 (27.888)	Prec@5 53.500 (56.813)
Epoch: [1][4800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8604 (3.1280)	Prec@1 34.000 (27.891)	Prec@5 60.500 (56.819)
Epoch: [1][4810/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 3.1433 (3.1278)	Prec@1 27.500 (27.896)	Prec@5 55.500 (56.820)
Epoch: [1][4820/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 3.1995 (3.1277)	Prec@1 27.000 (27.897)	Prec@5 56.500 (56.822)
Epoch: [1][4830/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8363 (3.1274)	Prec@1 32.500 (27.903)	Prec@5 61.500 (56.829)
Epoch: [1][4840/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 3.1744 (3.1274)	Prec@1 25.000 (27.902)	Prec@5 55.500 (56.829)
Epoch: [1][4850/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8161 (3.1270)	Prec@1 33.500 (27.908)	Prec@5 63.500 (56.836)
Epoch: [1][4860/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.9833 (3.1268)	Prec@1 28.500 (27.911)	Prec@5 59.500 (56.838)
Epoch: [1][4870/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.9999 (3.1267)	Prec@1 30.000 (27.913)	Prec@5 60.000 (56.842)
Epoch: [1][4880/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.0437 (3.1264)	Prec@1 31.500 (27.918)	Prec@5 60.000 (56.852)
Epoch: [1][4890/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.2526 (3.1261)	Prec@1 23.000 (27.924)	Prec@5 58.500 (56.859)
Epoch: [1][4900/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9542 (3.1261)	Prec@1 30.500 (27.925)	Prec@5 58.000 (56.859)
Epoch: [1][4910/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 3.0879 (3.1259)	Prec@1 26.000 (27.930)	Prec@5 57.500 (56.861)
Epoch: [1][4920/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 3.2911 (3.1257)	Prec@1 25.500 (27.932)	Prec@5 54.500 (56.867)
Epoch: [1][4930/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.9162 (3.1256)	Prec@1 32.500 (27.934)	Prec@5 63.000 (56.871)
Epoch: [1][4940/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.2015 (3.1253)	Prec@1 26.000 (27.937)	Prec@5 55.500 (56.877)
Epoch: [1][4950/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9521 (3.1252)	Prec@1 30.000 (27.937)	Prec@5 59.500 (56.879)
Epoch: [1][4960/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 3.0738 (3.1251)	Prec@1 32.000 (27.938)	Prec@5 58.000 (56.884)
Epoch: [1][4970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8893 (3.1249)	Prec@1 31.500 (27.939)	Prec@5 58.000 (56.884)
Epoch: [1][4980/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8728 (3.1247)	Prec@1 31.000 (27.943)	Prec@5 63.000 (56.888)
Epoch: [1][4990/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.9663 (3.1246)	Prec@1 30.000 (27.946)	Prec@5 59.500 (56.892)
Epoch: [1][5000/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.0985 (3.1245)	Prec@1 25.000 (27.947)	Prec@5 57.000 (56.895)
Epoch: [1][5010/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.9427 (3.1243)	Prec@1 30.000 (27.949)	Prec@5 63.000 (56.898)
Epoch: [1][5020/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 3.0017 (3.1242)	Prec@1 31.500 (27.949)	Prec@5 60.500 (56.902)
Epoch: [1][5030/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.9819 (3.1237)	Prec@1 26.000 (27.956)	Prec@5 59.500 (56.911)
Epoch: [1][5040/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 3.1900 (3.1234)	Prec@1 29.000 (27.962)	Prec@5 54.000 (56.920)
Epoch: [1][5050/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.9107 (3.1232)	Prec@1 28.500 (27.964)	Prec@5 62.500 (56.924)
Epoch: [1][5060/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.1577 (3.1230)	Prec@1 26.500 (27.967)	Prec@5 58.000 (56.927)
Epoch: [1][5070/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8956 (3.1230)	Prec@1 31.000 (27.966)	Prec@5 61.000 (56.928)
Epoch: [1][5080/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 3.1232 (3.1228)	Prec@1 27.000 (27.970)	Prec@5 54.000 (56.932)
Epoch: [1][5090/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 3.1126 (3.1226)	Prec@1 25.500 (27.973)	Prec@5 55.500 (56.936)
Epoch: [1][5100/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 3.1462 (3.1223)	Prec@1 33.500 (27.976)	Prec@5 56.500 (56.940)
Epoch: [1][5110/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 3.0504 (3.1222)	Prec@1 33.000 (27.982)	Prec@5 61.000 (56.943)
Epoch: [1][5120/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.9087 (3.1221)	Prec@1 33.500 (27.987)	Prec@5 60.500 (56.947)
Epoch: [1][5130/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.9684 (3.1218)	Prec@1 25.000 (27.991)	Prec@5 63.500 (56.956)
Epoch: [1][5140/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 3.0437 (3.1215)	Prec@1 27.500 (27.996)	Prec@5 58.500 (56.960)
Epoch: [1][5150/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6972 (3.1213)	Prec@1 34.000 (28.002)	Prec@5 67.500 (56.966)
Epoch: [1][5160/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.9509 (3.1211)	Prec@1 31.000 (28.002)	Prec@5 63.500 (56.971)
Epoch: [1][5170/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.8441 (3.1208)	Prec@1 33.500 (28.006)	Prec@5 59.000 (56.973)
Epoch: [1][5180/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 3.0823 (3.1207)	Prec@1 30.500 (28.006)	Prec@5 58.000 (56.972)
Epoch: [1][5190/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.9471 (3.1205)	Prec@1 27.000 (28.010)	Prec@5 62.000 (56.978)
Epoch: [1][5200/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.1046 (3.1203)	Prec@1 29.500 (28.016)	Prec@5 57.000 (56.980)
Epoch: [1][5210/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8715 (3.1202)	Prec@1 28.500 (28.019)	Prec@5 58.500 (56.982)
Epoch: [1][5220/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.9174 (3.1200)	Prec@1 31.000 (28.025)	Prec@5 63.500 (56.987)
Epoch: [1][5230/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9889 (3.1198)	Prec@1 29.500 (28.028)	Prec@5 62.000 (56.993)
Epoch: [1][5240/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.1264 (3.1196)	Prec@1 26.000 (28.030)	Prec@5 53.000 (56.995)
Epoch: [1][5250/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 3.0073 (3.1194)	Prec@1 30.000 (28.033)	Prec@5 57.500 (56.999)
Epoch: [1][5260/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.9163 (3.1194)	Prec@1 31.500 (28.035)	Prec@5 63.000 (57.001)
Epoch: [1][5270/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 3.0553 (3.1192)	Prec@1 28.500 (28.037)	Prec@5 60.500 (57.003)
Epoch: [1][5280/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.2437 (3.1191)	Prec@1 27.000 (28.039)	Prec@5 51.000 (57.002)
Epoch: [1][5290/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.2029 (3.1190)	Prec@1 26.500 (28.043)	Prec@5 52.000 (57.002)
Epoch: [1][5300/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 3.0288 (3.1189)	Prec@1 28.500 (28.045)	Prec@5 63.000 (57.004)
Epoch: [1][5310/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.9761 (3.1187)	Prec@1 29.500 (28.046)	Prec@5 59.000 (57.007)
Epoch: [1][5320/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9532 (3.1184)	Prec@1 26.000 (28.050)	Prec@5 61.500 (57.014)
Epoch: [1][5330/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.8303 (3.1181)	Prec@1 30.000 (28.053)	Prec@5 61.500 (57.019)
Epoch: [1][5340/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 3.1740 (3.1181)	Prec@1 23.500 (28.056)	Prec@5 54.500 (57.019)
Epoch: [1][5350/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8854 (3.1179)	Prec@1 35.000 (28.062)	Prec@5 63.500 (57.024)
Epoch: [1][5360/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.9006 (3.1176)	Prec@1 31.500 (28.065)	Prec@5 61.500 (57.028)
Epoch: [1][5370/9018]	Time 0.769 (0.615)	Data 0.001 (0.001)	Loss 3.1680 (3.1175)	Prec@1 29.000 (28.069)	Prec@5 59.000 (57.033)
Epoch: [1][5380/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.0437 (3.1172)	Prec@1 26.500 (28.070)	Prec@5 58.500 (57.037)
Epoch: [1][5390/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 3.1188 (3.1172)	Prec@1 32.500 (28.074)	Prec@5 61.000 (57.038)
Epoch: [1][5400/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.3184 (3.1171)	Prec@1 25.500 (28.075)	Prec@5 54.000 (57.041)
Epoch: [1][5410/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6401 (3.1168)	Prec@1 33.500 (28.079)	Prec@5 65.000 (57.045)
Epoch: [1][5420/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.8857 (3.1165)	Prec@1 32.000 (28.084)	Prec@5 59.500 (57.053)
Epoch: [1][5430/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 3.0481 (3.1164)	Prec@1 29.500 (28.085)	Prec@5 59.500 (57.055)
Epoch: [1][5440/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.9680 (3.1162)	Prec@1 32.000 (28.089)	Prec@5 59.000 (57.061)
Epoch: [1][5450/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9097 (3.1159)	Prec@1 26.500 (28.093)	Prec@5 61.000 (57.068)
Epoch: [1][5460/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 3.0464 (3.1158)	Prec@1 28.500 (28.096)	Prec@5 54.500 (57.070)
Epoch: [1][5470/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 3.0637 (3.1155)	Prec@1 26.500 (28.098)	Prec@5 58.500 (57.077)
Epoch: [1][5480/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8696 (3.1155)	Prec@1 29.500 (28.099)	Prec@5 59.500 (57.079)
Epoch: [1][5490/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8616 (3.1152)	Prec@1 32.500 (28.104)	Prec@5 63.500 (57.084)
Epoch: [1][5500/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 3.1357 (3.1149)	Prec@1 28.500 (28.108)	Prec@5 56.500 (57.090)
Epoch: [1][5510/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.9345 (3.1147)	Prec@1 28.000 (28.111)	Prec@5 60.000 (57.095)
Epoch: [1][5520/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 3.0665 (3.1145)	Prec@1 28.500 (28.113)	Prec@5 59.000 (57.101)
Epoch: [1][5530/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 3.1061 (3.1144)	Prec@1 28.500 (28.115)	Prec@5 58.500 (57.104)
Epoch: [1][5540/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 3.0957 (3.1142)	Prec@1 24.500 (28.116)	Prec@5 59.000 (57.106)
Epoch: [1][5550/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.9968 (3.1140)	Prec@1 25.500 (28.117)	Prec@5 56.000 (57.109)
Epoch: [1][5560/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7780 (3.1138)	Prec@1 30.500 (28.123)	Prec@5 64.000 (57.113)
Epoch: [1][5570/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.9694 (3.1137)	Prec@1 30.500 (28.125)	Prec@5 56.500 (57.114)
Epoch: [1][5580/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 3.1176 (3.1136)	Prec@1 26.000 (28.126)	Prec@5 59.000 (57.118)
Epoch: [1][5590/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 3.1388 (3.1135)	Prec@1 31.500 (28.128)	Prec@5 57.500 (57.121)
Epoch: [1][5600/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.8620 (3.1132)	Prec@1 29.000 (28.131)	Prec@5 60.000 (57.126)
Epoch: [1][5610/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8236 (3.1130)	Prec@1 37.000 (28.138)	Prec@5 64.500 (57.132)
Epoch: [1][5620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9316 (3.1126)	Prec@1 33.500 (28.143)	Prec@5 57.000 (57.139)
Epoch: [1][5630/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.9780 (3.1123)	Prec@1 30.000 (28.148)	Prec@5 58.000 (57.143)
Epoch: [1][5640/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.0344 (3.1122)	Prec@1 29.000 (28.148)	Prec@5 59.500 (57.145)
Epoch: [1][5650/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.8689 (3.1120)	Prec@1 32.000 (28.151)	Prec@5 59.000 (57.149)
Epoch: [1][5660/9018]	Time 0.604 (0.615)	Data 0.002 (0.001)	Loss 2.9974 (3.1118)	Prec@1 27.000 (28.156)	Prec@5 58.500 (57.154)
Epoch: [1][5670/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 3.0108 (3.1116)	Prec@1 34.500 (28.161)	Prec@5 57.500 (57.158)
Epoch: [1][5680/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9849 (3.1113)	Prec@1 29.500 (28.168)	Prec@5 60.000 (57.164)
Epoch: [1][5690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.0807 (3.1110)	Prec@1 33.500 (28.172)	Prec@5 61.500 (57.169)
Epoch: [1][5700/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.9953 (3.1108)	Prec@1 27.500 (28.177)	Prec@5 59.000 (57.174)
Epoch: [1][5710/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 3.0242 (3.1107)	Prec@1 32.500 (28.181)	Prec@5 60.000 (57.178)
Epoch: [1][5720/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.0022 (3.1104)	Prec@1 28.500 (28.184)	Prec@5 59.500 (57.181)
Epoch: [1][5730/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 3.1505 (3.1103)	Prec@1 28.000 (28.185)	Prec@5 56.500 (57.187)
Epoch: [1][5740/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 3.0312 (3.1101)	Prec@1 30.000 (28.187)	Prec@5 55.000 (57.191)
Epoch: [1][5750/9018]	Time 0.764 (0.615)	Data 0.001 (0.001)	Loss 2.9651 (3.1099)	Prec@1 33.000 (28.190)	Prec@5 59.500 (57.196)
Epoch: [1][5760/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 3.0761 (3.1097)	Prec@1 24.500 (28.193)	Prec@5 58.000 (57.197)
Epoch: [1][5770/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8485 (3.1093)	Prec@1 30.500 (28.200)	Prec@5 65.000 (57.205)
Epoch: [1][5780/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.8391 (3.1090)	Prec@1 28.000 (28.202)	Prec@5 64.000 (57.213)
Epoch: [1][5790/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.9383 (3.1087)	Prec@1 32.000 (28.205)	Prec@5 63.000 (57.218)
Epoch: [1][5800/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 3.1921 (3.1086)	Prec@1 26.000 (28.206)	Prec@5 53.500 (57.218)
Epoch: [1][5810/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7952 (3.1084)	Prec@1 33.000 (28.212)	Prec@5 65.000 (57.222)
Epoch: [1][5820/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.2615 (3.1082)	Prec@1 23.500 (28.215)	Prec@5 51.000 (57.225)
Epoch: [1][5830/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7789 (3.1079)	Prec@1 35.000 (28.221)	Prec@5 64.000 (57.230)
Epoch: [1][5840/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.9632 (3.1077)	Prec@1 29.500 (28.223)	Prec@5 61.500 (57.234)
Epoch: [1][5850/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9847 (3.1074)	Prec@1 28.500 (28.224)	Prec@5 58.000 (57.241)
Epoch: [1][5860/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.0986 (3.1073)	Prec@1 27.500 (28.228)	Prec@5 59.500 (57.244)
Epoch: [1][5870/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 3.1394 (3.1071)	Prec@1 25.500 (28.229)	Prec@5 54.000 (57.246)
Epoch: [1][5880/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9908 (3.1069)	Prec@1 30.000 (28.228)	Prec@5 59.500 (57.249)
Epoch: [1][5890/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 3.0006 (3.1068)	Prec@1 32.500 (28.232)	Prec@5 62.500 (57.254)
Epoch: [1][5900/9018]	Time 0.623 (0.615)	Data 0.003 (0.001)	Loss 3.1362 (3.1066)	Prec@1 29.000 (28.234)	Prec@5 55.500 (57.256)
Epoch: [1][5910/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8506 (3.1065)	Prec@1 35.000 (28.237)	Prec@5 63.500 (57.258)
Epoch: [1][5920/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.0051 (3.1063)	Prec@1 28.500 (28.238)	Prec@5 57.000 (57.264)
Epoch: [1][5930/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 3.1204 (3.1061)	Prec@1 26.000 (28.243)	Prec@5 55.500 (57.266)
Epoch: [1][5940/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8135 (3.1059)	Prec@1 31.500 (28.248)	Prec@5 64.000 (57.271)
Epoch: [1][5950/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8302 (3.1056)	Prec@1 30.500 (28.252)	Prec@5 66.500 (57.278)
Epoch: [1][5960/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.9345 (3.1054)	Prec@1 30.000 (28.254)	Prec@5 58.000 (57.282)
Epoch: [1][5970/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.8630 (3.1052)	Prec@1 31.500 (28.256)	Prec@5 64.500 (57.286)
Epoch: [1][5980/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.9793 (3.1050)	Prec@1 31.500 (28.262)	Prec@5 60.500 (57.291)
Epoch: [1][5990/9018]	Time 0.602 (0.615)	Data 0.002 (0.001)	Loss 3.1176 (3.1047)	Prec@1 27.000 (28.267)	Prec@5 59.500 (57.299)
Epoch: [1][6000/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 3.1968 (3.1046)	Prec@1 27.000 (28.269)	Prec@5 55.000 (57.302)
Epoch: [1][6010/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.9173 (3.1043)	Prec@1 29.500 (28.275)	Prec@5 59.500 (57.307)
Epoch: [1][6020/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.9647 (3.1042)	Prec@1 35.000 (28.277)	Prec@5 61.500 (57.310)
Epoch: [1][6030/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.9890 (3.1041)	Prec@1 28.000 (28.278)	Prec@5 58.500 (57.314)
Epoch: [1][6040/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 3.1131 (3.1039)	Prec@1 26.500 (28.281)	Prec@5 58.000 (57.317)
Epoch: [1][6050/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.1571 (3.1038)	Prec@1 27.500 (28.282)	Prec@5 57.000 (57.321)
Epoch: [1][6060/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.0516 (3.1036)	Prec@1 29.000 (28.285)	Prec@5 58.500 (57.323)
Epoch: [1][6070/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 3.2031 (3.1034)	Prec@1 24.000 (28.286)	Prec@5 54.000 (57.327)
Epoch: [1][6080/9018]	Time 0.757 (0.615)	Data 0.001 (0.001)	Loss 3.0241 (3.1033)	Prec@1 28.000 (28.288)	Prec@5 62.000 (57.330)
Epoch: [1][6090/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.9617 (3.1031)	Prec@1 30.500 (28.293)	Prec@5 59.500 (57.333)
Epoch: [1][6100/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 3.0893 (3.1028)	Prec@1 25.500 (28.297)	Prec@5 53.500 (57.337)
Epoch: [1][6110/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.1798 (3.1027)	Prec@1 27.000 (28.298)	Prec@5 54.000 (57.339)
Epoch: [1][6120/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 3.1363 (3.1025)	Prec@1 29.000 (28.301)	Prec@5 60.000 (57.342)
Epoch: [1][6130/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.0964 (3.1023)	Prec@1 30.500 (28.305)	Prec@5 56.000 (57.346)
Epoch: [1][6140/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 3.0203 (3.1021)	Prec@1 29.000 (28.305)	Prec@5 60.000 (57.350)
Epoch: [1][6150/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8092 (3.1020)	Prec@1 35.500 (28.308)	Prec@5 65.500 (57.352)
Epoch: [1][6160/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.9275 (3.1018)	Prec@1 34.000 (28.312)	Prec@5 59.500 (57.355)
Epoch: [1][6170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9162 (3.1014)	Prec@1 28.000 (28.317)	Prec@5 57.000 (57.363)
Epoch: [1][6180/9018]	Time 0.658 (0.615)	Data 0.001 (0.001)	Loss 2.8887 (3.1011)	Prec@1 35.500 (28.327)	Prec@5 63.000 (57.371)
Epoch: [1][6190/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.9019 (3.1009)	Prec@1 30.500 (28.332)	Prec@5 61.000 (57.373)
Epoch: [1][6200/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9699 (3.1006)	Prec@1 33.500 (28.337)	Prec@5 56.000 (57.375)
Epoch: [1][6210/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.9311 (3.1004)	Prec@1 33.000 (28.342)	Prec@5 61.000 (57.380)
Epoch: [1][6220/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8829 (3.1004)	Prec@1 29.000 (28.344)	Prec@5 63.500 (57.379)
Epoch: [1][6230/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 3.1517 (3.1003)	Prec@1 30.500 (28.346)	Prec@5 56.500 (57.382)
Epoch: [1][6240/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6931 (3.1000)	Prec@1 31.500 (28.349)	Prec@5 65.000 (57.389)
Epoch: [1][6250/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7555 (3.0999)	Prec@1 33.500 (28.350)	Prec@5 64.000 (57.390)
Epoch: [1][6260/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.8029 (3.0997)	Prec@1 37.000 (28.353)	Prec@5 64.500 (57.396)
Epoch: [1][6270/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 3.2030 (3.0995)	Prec@1 31.500 (28.358)	Prec@5 55.500 (57.402)
Epoch: [1][6280/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.1439 (3.0994)	Prec@1 29.000 (28.359)	Prec@5 56.500 (57.405)
Epoch: [1][6290/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.8984 (3.0991)	Prec@1 29.500 (28.363)	Prec@5 60.500 (57.409)
Epoch: [1][6300/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 3.2758 (3.0990)	Prec@1 27.500 (28.366)	Prec@5 54.500 (57.412)
Epoch: [1][6310/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.9897 (3.0989)	Prec@1 27.500 (28.370)	Prec@5 58.500 (57.415)
Epoch: [1][6320/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9045 (3.0986)	Prec@1 30.000 (28.375)	Prec@5 66.000 (57.422)
Epoch: [1][6330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.9229 (3.0984)	Prec@1 31.500 (28.378)	Prec@5 63.500 (57.426)
Epoch: [1][6340/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.9316 (3.0982)	Prec@1 28.500 (28.377)	Prec@5 62.000 (57.430)
Epoch: [1][6350/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.9943 (3.0981)	Prec@1 27.500 (28.377)	Prec@5 56.500 (57.432)
Epoch: [1][6360/9018]	Time 0.766 (0.615)	Data 0.001 (0.001)	Loss 3.0189 (3.0978)	Prec@1 28.000 (28.382)	Prec@5 59.000 (57.437)
Epoch: [1][6370/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.9834 (3.0977)	Prec@1 33.000 (28.385)	Prec@5 56.500 (57.438)
Epoch: [1][6380/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.0214 (3.0976)	Prec@1 30.000 (28.387)	Prec@5 61.500 (57.440)
Epoch: [1][6390/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 3.0746 (3.0976)	Prec@1 27.500 (28.386)	Prec@5 55.500 (57.442)
Epoch: [1][6400/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.9811 (3.0974)	Prec@1 31.000 (28.388)	Prec@5 60.000 (57.444)
Epoch: [1][6410/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 3.0368 (3.0973)	Prec@1 30.500 (28.390)	Prec@5 56.000 (57.448)
Epoch: [1][6420/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.0072 (3.0971)	Prec@1 32.000 (28.391)	Prec@5 59.000 (57.453)
Epoch: [1][6430/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9409 (3.0971)	Prec@1 30.500 (28.390)	Prec@5 62.000 (57.455)
Epoch: [1][6440/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 3.1276 (3.0969)	Prec@1 26.500 (28.394)	Prec@5 58.000 (57.461)
Epoch: [1][6450/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.0566 (3.0967)	Prec@1 30.500 (28.396)	Prec@5 60.000 (57.465)
Epoch: [1][6460/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.1768 (3.0967)	Prec@1 27.500 (28.398)	Prec@5 54.000 (57.465)
Epoch: [1][6470/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7845 (3.0965)	Prec@1 35.000 (28.403)	Prec@5 65.500 (57.470)
Epoch: [1][6480/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.9745 (3.0962)	Prec@1 37.000 (28.407)	Prec@5 62.000 (57.475)
Epoch: [1][6490/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.0157 (3.0962)	Prec@1 30.000 (28.406)	Prec@5 56.500 (57.474)
Epoch: [1][6500/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 3.0108 (3.0960)	Prec@1 27.500 (28.410)	Prec@5 62.000 (57.479)
Epoch: [1][6510/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 3.1322 (3.0958)	Prec@1 29.000 (28.415)	Prec@5 54.000 (57.483)
Epoch: [1][6520/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.9224 (3.0955)	Prec@1 29.500 (28.420)	Prec@5 58.500 (57.489)
Epoch: [1][6530/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.0070 (3.0952)	Prec@1 27.000 (28.423)	Prec@5 59.000 (57.496)
Epoch: [1][6540/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.9378 (3.0951)	Prec@1 32.500 (28.425)	Prec@5 65.000 (57.500)
Epoch: [1][6550/9018]	Time 0.604 (0.615)	Data 0.004 (0.001)	Loss 3.0754 (3.0948)	Prec@1 33.000 (28.429)	Prec@5 58.500 (57.507)
Epoch: [1][6560/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 3.0594 (3.0946)	Prec@1 29.500 (28.431)	Prec@5 58.000 (57.511)
Epoch: [1][6570/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8731 (3.0943)	Prec@1 34.500 (28.437)	Prec@5 61.500 (57.516)
Epoch: [1][6580/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.9851 (3.0941)	Prec@1 33.000 (28.441)	Prec@5 58.000 (57.519)
Epoch: [1][6590/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8322 (3.0940)	Prec@1 35.000 (28.444)	Prec@5 64.000 (57.520)
Epoch: [1][6600/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 3.0214 (3.0938)	Prec@1 29.500 (28.447)	Prec@5 62.000 (57.523)
Epoch: [1][6610/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 3.0890 (3.0938)	Prec@1 25.000 (28.445)	Prec@5 59.500 (57.523)
Epoch: [1][6620/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 3.0707 (3.0937)	Prec@1 31.000 (28.447)	Prec@5 55.000 (57.526)
Epoch: [1][6630/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.1592 (3.0934)	Prec@1 23.500 (28.452)	Prec@5 57.500 (57.529)
Epoch: [1][6640/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.9009 (3.0933)	Prec@1 34.000 (28.455)	Prec@5 65.000 (57.532)
Epoch: [1][6650/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.1062 (3.0931)	Prec@1 31.500 (28.461)	Prec@5 57.000 (57.537)
Epoch: [1][6660/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.9976 (3.0930)	Prec@1 27.500 (28.465)	Prec@5 61.000 (57.539)
Epoch: [1][6670/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 3.0151 (3.0928)	Prec@1 31.500 (28.468)	Prec@5 58.000 (57.544)
Epoch: [1][6680/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8408 (3.0925)	Prec@1 32.000 (28.472)	Prec@5 63.000 (57.551)
Epoch: [1][6690/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 3.0420 (3.0923)	Prec@1 32.000 (28.477)	Prec@5 59.500 (57.556)
Epoch: [1][6700/9018]	Time 0.604 (0.615)	Data 0.004 (0.001)	Loss 3.0429 (3.0922)	Prec@1 27.500 (28.479)	Prec@5 58.500 (57.558)
Epoch: [1][6710/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.1142 (3.0921)	Prec@1 30.000 (28.482)	Prec@5 59.000 (57.559)
Epoch: [1][6720/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.9349 (3.0919)	Prec@1 32.000 (28.484)	Prec@5 64.500 (57.565)
Epoch: [1][6730/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.7232 (3.0916)	Prec@1 38.000 (28.488)	Prec@5 67.000 (57.569)
Epoch: [1][6740/9018]	Time 0.755 (0.615)	Data 0.001 (0.001)	Loss 3.0304 (3.0915)	Prec@1 28.000 (28.491)	Prec@5 59.500 (57.573)
Epoch: [1][6750/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8320 (3.0913)	Prec@1 32.500 (28.494)	Prec@5 63.000 (57.577)
Epoch: [1][6760/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.9538 (3.0910)	Prec@1 31.500 (28.497)	Prec@5 65.000 (57.585)
Epoch: [1][6770/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 3.1608 (3.0908)	Prec@1 29.500 (28.500)	Prec@5 52.500 (57.588)
Epoch: [1][6780/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.9357 (3.0906)	Prec@1 29.000 (28.502)	Prec@5 56.500 (57.592)
Epoch: [1][6790/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9916 (3.0905)	Prec@1 28.000 (28.503)	Prec@5 59.000 (57.594)
Epoch: [1][6800/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7918 (3.0903)	Prec@1 35.500 (28.506)	Prec@5 63.500 (57.598)
Epoch: [1][6810/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 3.1779 (3.0902)	Prec@1 29.000 (28.506)	Prec@5 55.500 (57.598)
Epoch: [1][6820/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.8542 (3.0901)	Prec@1 33.500 (28.511)	Prec@5 61.500 (57.602)
Epoch: [1][6830/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8831 (3.0899)	Prec@1 35.000 (28.515)	Prec@5 63.000 (57.606)
Epoch: [1][6840/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8494 (3.0897)	Prec@1 36.000 (28.518)	Prec@5 65.500 (57.610)
Epoch: [1][6850/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 3.0942 (3.0895)	Prec@1 31.500 (28.522)	Prec@5 57.000 (57.613)
Epoch: [1][6860/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.0956 (3.0895)	Prec@1 27.000 (28.523)	Prec@5 58.000 (57.612)
Epoch: [1][6870/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9938 (3.0894)	Prec@1 30.000 (28.524)	Prec@5 60.000 (57.614)
Epoch: [1][6880/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.9994 (3.0893)	Prec@1 27.000 (28.527)	Prec@5 62.500 (57.618)
Epoch: [1][6890/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.9671 (3.0891)	Prec@1 31.500 (28.530)	Prec@5 60.000 (57.623)
Epoch: [1][6900/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 3.0539 (3.0889)	Prec@1 31.000 (28.534)	Prec@5 55.500 (57.625)
Epoch: [1][6910/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.1269 (3.0888)	Prec@1 28.500 (28.536)	Prec@5 55.500 (57.626)
Epoch: [1][6920/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9234 (3.0886)	Prec@1 34.500 (28.537)	Prec@5 61.500 (57.629)
Epoch: [1][6930/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.0857 (3.0886)	Prec@1 30.500 (28.537)	Prec@5 57.500 (57.628)
Epoch: [1][6940/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 3.1296 (3.0887)	Prec@1 31.000 (28.538)	Prec@5 56.500 (57.629)
Epoch: [1][6950/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 3.1029 (3.0885)	Prec@1 25.500 (28.540)	Prec@5 60.000 (57.632)
Epoch: [1][6960/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9813 (3.0883)	Prec@1 32.500 (28.543)	Prec@5 58.500 (57.635)
Epoch: [1][6970/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 3.0268 (3.0881)	Prec@1 28.000 (28.545)	Prec@5 58.500 (57.638)
Epoch: [1][6980/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.8892 (3.0880)	Prec@1 33.000 (28.548)	Prec@5 60.000 (57.640)
Epoch: [1][6990/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 3.1302 (3.0879)	Prec@1 27.500 (28.549)	Prec@5 55.000 (57.641)
Epoch: [1][7000/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 3.1042 (3.0877)	Prec@1 31.500 (28.552)	Prec@5 55.000 (57.644)
Epoch: [1][7010/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 3.1575 (3.0876)	Prec@1 29.000 (28.553)	Prec@5 58.500 (57.646)
Epoch: [1][7020/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 3.0112 (3.0875)	Prec@1 31.500 (28.557)	Prec@5 60.500 (57.651)
Epoch: [1][7030/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.9571 (3.0873)	Prec@1 31.000 (28.560)	Prec@5 58.500 (57.654)
Epoch: [1][7040/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.9319 (3.0871)	Prec@1 31.000 (28.562)	Prec@5 62.500 (57.658)
Epoch: [1][7050/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8885 (3.0869)	Prec@1 28.500 (28.567)	Prec@5 63.000 (57.662)
Epoch: [1][7060/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 3.0972 (3.0867)	Prec@1 27.500 (28.569)	Prec@5 52.500 (57.666)
Epoch: [1][7070/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.9380 (3.0864)	Prec@1 31.500 (28.572)	Prec@5 60.000 (57.672)
Epoch: [1][7080/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.9438 (3.0864)	Prec@1 30.500 (28.573)	Prec@5 62.000 (57.673)
Epoch: [1][7090/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.0240 (3.0863)	Prec@1 28.500 (28.575)	Prec@5 58.500 (57.676)
Epoch: [1][7100/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 3.0910 (3.0861)	Prec@1 28.500 (28.575)	Prec@5 56.000 (57.677)
Epoch: [1][7110/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7850 (3.0859)	Prec@1 31.000 (28.580)	Prec@5 64.500 (57.682)
Epoch: [1][7120/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.1147 (3.0857)	Prec@1 31.000 (28.583)	Prec@5 62.500 (57.688)
Epoch: [1][7130/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.9776 (3.0854)	Prec@1 26.500 (28.585)	Prec@5 62.500 (57.692)
Epoch: [1][7140/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9405 (3.0853)	Prec@1 32.500 (28.587)	Prec@5 61.500 (57.694)
Epoch: [1][7150/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 3.0945 (3.0850)	Prec@1 31.500 (28.591)	Prec@5 54.000 (57.698)
Epoch: [1][7160/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.1299 (3.0849)	Prec@1 27.500 (28.594)	Prec@5 53.500 (57.700)
Epoch: [1][7170/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.8831 (3.0846)	Prec@1 32.500 (28.601)	Prec@5 62.000 (57.706)
Epoch: [1][7180/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9512 (3.0845)	Prec@1 32.000 (28.604)	Prec@5 57.000 (57.708)
Epoch: [1][7190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8930 (3.0843)	Prec@1 29.000 (28.607)	Prec@5 60.500 (57.710)
Epoch: [1][7200/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.9853 (3.0841)	Prec@1 25.500 (28.610)	Prec@5 60.500 (57.716)
Epoch: [1][7210/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.8892 (3.0839)	Prec@1 33.500 (28.613)	Prec@5 59.000 (57.717)
Epoch: [1][7220/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 3.0252 (3.0838)	Prec@1 26.500 (28.614)	Prec@5 59.500 (57.721)
Epoch: [1][7230/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 3.1267 (3.0837)	Prec@1 29.500 (28.614)	Prec@5 59.000 (57.723)
Epoch: [1][7240/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9839 (3.0837)	Prec@1 29.000 (28.612)	Prec@5 60.500 (57.723)
Epoch: [1][7250/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 3.1571 (3.0836)	Prec@1 28.000 (28.615)	Prec@5 58.500 (57.728)
Epoch: [1][7260/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8622 (3.0835)	Prec@1 30.000 (28.616)	Prec@5 61.000 (57.729)
Epoch: [1][7270/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7888 (3.0833)	Prec@1 34.000 (28.619)	Prec@5 64.500 (57.734)
Epoch: [1][7280/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 3.0746 (3.0832)	Prec@1 25.500 (28.620)	Prec@5 58.500 (57.739)
Epoch: [1][7290/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.0884 (3.0830)	Prec@1 30.500 (28.623)	Prec@5 58.500 (57.742)
Epoch: [1][7300/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7917 (3.0828)	Prec@1 35.500 (28.628)	Prec@5 67.000 (57.746)
Epoch: [1][7310/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7950 (3.0826)	Prec@1 31.000 (28.631)	Prec@5 61.500 (57.751)
Epoch: [1][7320/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.9604 (3.0824)	Prec@1 32.500 (28.634)	Prec@5 63.500 (57.755)
Epoch: [1][7330/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.9912 (3.0824)	Prec@1 25.500 (28.633)	Prec@5 58.500 (57.756)
Epoch: [1][7340/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9343 (3.0822)	Prec@1 33.000 (28.637)	Prec@5 56.500 (57.758)
Epoch: [1][7350/9018]	Time 0.756 (0.615)	Data 0.001 (0.001)	Loss 2.9271 (3.0820)	Prec@1 38.000 (28.641)	Prec@5 62.500 (57.761)
Epoch: [1][7360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.1055 (3.0818)	Prec@1 27.000 (28.642)	Prec@5 59.500 (57.766)
Epoch: [1][7370/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6010 (3.0816)	Prec@1 37.500 (28.644)	Prec@5 68.000 (57.770)
Epoch: [1][7380/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9806 (3.0814)	Prec@1 25.500 (28.647)	Prec@5 61.500 (57.774)
Epoch: [1][7390/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7906 (3.0811)	Prec@1 33.000 (28.650)	Prec@5 62.500 (57.779)
Epoch: [1][7400/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 3.0733 (3.0810)	Prec@1 27.000 (28.654)	Prec@5 58.500 (57.782)
Epoch: [1][7410/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.9297 (3.0809)	Prec@1 33.500 (28.657)	Prec@5 61.000 (57.785)
Epoch: [1][7420/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8612 (3.0807)	Prec@1 33.500 (28.661)	Prec@5 64.500 (57.790)
Epoch: [1][7430/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 3.0372 (3.0805)	Prec@1 29.000 (28.665)	Prec@5 58.500 (57.793)
Epoch: [1][7440/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.9112 (3.0804)	Prec@1 30.000 (28.665)	Prec@5 61.000 (57.795)
Epoch: [1][7450/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.8027 (3.0801)	Prec@1 36.500 (28.671)	Prec@5 62.000 (57.801)
Epoch: [1][7460/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.8225 (3.0800)	Prec@1 34.500 (28.673)	Prec@5 66.000 (57.804)
Epoch: [1][7470/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9167 (3.0799)	Prec@1 29.000 (28.675)	Prec@5 63.000 (57.806)
Epoch: [1][7480/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 3.0864 (3.0797)	Prec@1 29.000 (28.676)	Prec@5 57.500 (57.809)
Epoch: [1][7490/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8200 (3.0795)	Prec@1 35.000 (28.679)	Prec@5 60.500 (57.812)
Epoch: [1][7500/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.9078 (3.0793)	Prec@1 37.000 (28.680)	Prec@5 58.500 (57.815)
Epoch: [1][7510/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 3.0509 (3.0792)	Prec@1 28.000 (28.682)	Prec@5 60.500 (57.817)
Epoch: [1][7520/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 3.0875 (3.0790)	Prec@1 24.500 (28.684)	Prec@5 56.000 (57.820)
Epoch: [1][7530/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.9044 (3.0789)	Prec@1 33.000 (28.687)	Prec@5 60.500 (57.822)
Epoch: [1][7540/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.8120 (3.0788)	Prec@1 29.500 (28.688)	Prec@5 60.500 (57.826)
Epoch: [1][7550/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7363 (3.0786)	Prec@1 30.000 (28.689)	Prec@5 63.000 (57.830)
Epoch: [1][7560/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.1575 (3.0784)	Prec@1 28.500 (28.691)	Prec@5 59.000 (57.836)
Epoch: [1][7570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6067 (3.0783)	Prec@1 36.500 (28.694)	Prec@5 72.000 (57.839)
Epoch: [1][7580/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 3.1693 (3.0782)	Prec@1 28.000 (28.695)	Prec@5 58.000 (57.841)
Epoch: [1][7590/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.9088 (3.0781)	Prec@1 30.000 (28.697)	Prec@5 64.000 (57.844)
Epoch: [1][7600/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8300 (3.0779)	Prec@1 32.500 (28.699)	Prec@5 63.000 (57.848)
Epoch: [1][7610/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 3.0810 (3.0778)	Prec@1 28.500 (28.703)	Prec@5 57.500 (57.852)
Epoch: [1][7620/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.9849 (3.0775)	Prec@1 34.000 (28.709)	Prec@5 58.000 (57.857)
Epoch: [1][7630/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.1580 (3.0773)	Prec@1 23.500 (28.712)	Prec@5 55.000 (57.861)
Epoch: [1][7640/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8056 (3.0772)	Prec@1 29.000 (28.714)	Prec@5 63.000 (57.863)
Epoch: [1][7650/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 3.0739 (3.0771)	Prec@1 27.500 (28.715)	Prec@5 57.500 (57.865)
Epoch: [1][7660/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.9933 (3.0770)	Prec@1 29.500 (28.716)	Prec@5 63.000 (57.865)
Epoch: [1][7670/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7495 (3.0768)	Prec@1 34.000 (28.720)	Prec@5 62.500 (57.870)
Epoch: [1][7680/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.9832 (3.0767)	Prec@1 32.500 (28.723)	Prec@5 56.000 (57.871)
Epoch: [1][7690/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.8965 (3.0766)	Prec@1 32.500 (28.726)	Prec@5 60.500 (57.872)
Epoch: [1][7700/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.1704 (3.0765)	Prec@1 28.500 (28.728)	Prec@5 57.000 (57.877)
Epoch: [1][7710/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.8416 (3.0763)	Prec@1 31.500 (28.732)	Prec@5 64.000 (57.880)
Epoch: [1][7720/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9335 (3.0761)	Prec@1 32.000 (28.736)	Prec@5 58.000 (57.885)
Epoch: [1][7730/9018]	Time 0.753 (0.615)	Data 0.001 (0.001)	Loss 2.6604 (3.0758)	Prec@1 36.000 (28.742)	Prec@5 68.000 (57.891)
Epoch: [1][7740/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.0382 (3.0757)	Prec@1 31.000 (28.744)	Prec@5 61.000 (57.894)
Epoch: [1][7750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.9049 (3.0756)	Prec@1 31.500 (28.745)	Prec@5 62.000 (57.897)
Epoch: [1][7760/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.9992 (3.0755)	Prec@1 33.000 (28.747)	Prec@5 61.000 (57.899)
Epoch: [1][7770/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 3.0137 (3.0754)	Prec@1 30.500 (28.749)	Prec@5 63.000 (57.901)
Epoch: [1][7780/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.1886 (3.0753)	Prec@1 24.000 (28.750)	Prec@5 51.000 (57.904)
Epoch: [1][7790/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.8965 (3.0752)	Prec@1 33.500 (28.750)	Prec@5 60.000 (57.907)
Epoch: [1][7800/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.2277 (3.0751)	Prec@1 25.500 (28.751)	Prec@5 53.500 (57.908)
Epoch: [1][7810/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.9509 (3.0749)	Prec@1 31.500 (28.754)	Prec@5 59.000 (57.912)
Epoch: [1][7820/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7835 (3.0747)	Prec@1 34.000 (28.758)	Prec@5 65.000 (57.919)
Epoch: [1][7830/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6979 (3.0744)	Prec@1 35.000 (28.762)	Prec@5 64.000 (57.923)
Epoch: [1][7840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8738 (3.0742)	Prec@1 35.000 (28.767)	Prec@5 60.500 (57.928)
Epoch: [1][7850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.1105 (3.0741)	Prec@1 26.500 (28.770)	Prec@5 56.500 (57.932)
Epoch: [1][7860/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7539 (3.0738)	Prec@1 37.000 (28.776)	Prec@5 65.000 (57.939)
Epoch: [1][7870/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8692 (3.0736)	Prec@1 35.500 (28.781)	Prec@5 63.000 (57.943)
Epoch: [1][7880/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9308 (3.0733)	Prec@1 32.000 (28.785)	Prec@5 62.500 (57.950)
Epoch: [1][7890/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.9353 (3.0732)	Prec@1 31.000 (28.787)	Prec@5 62.000 (57.953)
Epoch: [1][7900/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9099 (3.0731)	Prec@1 36.000 (28.792)	Prec@5 60.000 (57.956)
Epoch: [1][7910/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 3.0630 (3.0729)	Prec@1 32.000 (28.795)	Prec@5 55.500 (57.960)
Epoch: [1][7920/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8833 (3.0728)	Prec@1 29.500 (28.796)	Prec@5 63.500 (57.961)
Epoch: [1][7930/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.7206 (3.0727)	Prec@1 35.000 (28.800)	Prec@5 59.500 (57.964)
Epoch: [1][7940/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.9419 (3.0725)	Prec@1 33.000 (28.805)	Prec@5 57.500 (57.967)
Epoch: [1][7950/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.1394 (3.0723)	Prec@1 26.000 (28.807)	Prec@5 54.500 (57.970)
Epoch: [1][7960/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9737 (3.0722)	Prec@1 31.000 (28.809)	Prec@5 59.000 (57.972)
Epoch: [1][7970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7618 (3.0721)	Prec@1 34.500 (28.811)	Prec@5 65.500 (57.974)
Epoch: [1][7980/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.8773 (3.0720)	Prec@1 32.000 (28.813)	Prec@5 64.000 (57.976)
Epoch: [1][7990/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.8997 (3.0718)	Prec@1 34.000 (28.815)	Prec@5 63.000 (57.980)
Epoch: [1][8000/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8273 (3.0716)	Prec@1 37.000 (28.818)	Prec@5 63.500 (57.985)
Epoch: [1][8010/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 3.0501 (3.0714)	Prec@1 27.500 (28.821)	Prec@5 56.500 (57.989)
Epoch: [1][8020/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.9479 (3.0713)	Prec@1 29.000 (28.823)	Prec@5 59.500 (57.990)
Epoch: [1][8030/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 3.0170 (3.0712)	Prec@1 28.500 (28.824)	Prec@5 59.500 (57.993)
Epoch: [1][8040/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 3.2063 (3.0711)	Prec@1 25.500 (28.825)	Prec@5 57.000 (57.996)
Epoch: [1][8050/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8402 (3.0709)	Prec@1 34.000 (28.829)	Prec@5 62.000 (58.000)
Epoch: [1][8060/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.8649 (3.0707)	Prec@1 32.000 (28.832)	Prec@5 61.000 (58.002)
Epoch: [1][8070/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 3.0574 (3.0706)	Prec@1 30.000 (28.833)	Prec@5 56.000 (58.005)
Epoch: [1][8080/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.1676 (3.0705)	Prec@1 31.000 (28.833)	Prec@5 56.500 (58.005)
Epoch: [1][8090/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.9135 (3.0704)	Prec@1 28.500 (28.835)	Prec@5 59.500 (58.007)
Epoch: [1][8100/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.0691 (3.0703)	Prec@1 33.000 (28.838)	Prec@5 55.500 (58.008)
Epoch: [1][8110/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 3.0406 (3.0701)	Prec@1 30.000 (28.839)	Prec@5 60.500 (58.010)
Epoch: [1][8120/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 3.0646 (3.0700)	Prec@1 29.500 (28.841)	Prec@5 59.000 (58.012)
Epoch: [1][8130/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8369 (3.0698)	Prec@1 32.500 (28.844)	Prec@5 64.000 (58.017)
Epoch: [1][8140/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7757 (3.0695)	Prec@1 36.500 (28.849)	Prec@5 64.000 (58.023)
Epoch: [1][8150/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7835 (3.0694)	Prec@1 34.000 (28.851)	Prec@5 66.500 (58.028)
Epoch: [1][8160/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.7181 (3.0692)	Prec@1 35.000 (28.853)	Prec@5 61.000 (58.031)
Epoch: [1][8170/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.9015 (3.0691)	Prec@1 33.000 (28.855)	Prec@5 65.500 (58.034)
Epoch: [1][8180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.9783 (3.0689)	Prec@1 31.000 (28.856)	Prec@5 59.000 (58.038)
Epoch: [1][8190/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.9942 (3.0688)	Prec@1 32.500 (28.859)	Prec@5 59.000 (58.041)
Epoch: [1][8200/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.9833 (3.0686)	Prec@1 32.000 (28.865)	Prec@5 59.000 (58.046)
Epoch: [1][8210/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8958 (3.0683)	Prec@1 34.000 (28.869)	Prec@5 60.000 (58.049)
Epoch: [1][8220/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.9577 (3.0682)	Prec@1 29.500 (28.871)	Prec@5 60.000 (58.053)
Epoch: [1][8230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.9371 (3.0680)	Prec@1 32.000 (28.873)	Prec@5 60.500 (58.056)
Epoch: [1][8240/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.1137 (3.0679)	Prec@1 25.000 (28.876)	Prec@5 58.000 (58.058)
Epoch: [1][8250/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 3.1290 (3.0678)	Prec@1 29.000 (28.878)	Prec@5 55.500 (58.058)
Epoch: [1][8260/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 3.0554 (3.0677)	Prec@1 22.500 (28.879)	Prec@5 57.500 (58.062)
Epoch: [1][8270/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 3.0890 (3.0676)	Prec@1 28.000 (28.880)	Prec@5 56.000 (58.064)
Epoch: [1][8280/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.2697 (3.0675)	Prec@1 27.500 (28.882)	Prec@5 56.000 (58.066)
Epoch: [1][8290/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.8986 (3.0674)	Prec@1 28.000 (28.882)	Prec@5 62.500 (58.069)
Epoch: [1][8300/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.9859 (3.0673)	Prec@1 31.000 (28.885)	Prec@5 56.000 (58.072)
Epoch: [1][8310/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9898 (3.0672)	Prec@1 34.000 (28.886)	Prec@5 58.000 (58.074)
Epoch: [1][8320/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.9913 (3.0670)	Prec@1 30.500 (28.890)	Prec@5 59.500 (58.079)
Epoch: [1][8330/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7103 (3.0669)	Prec@1 35.500 (28.891)	Prec@5 64.000 (58.080)
Epoch: [1][8340/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.9959 (3.0668)	Prec@1 27.500 (28.895)	Prec@5 59.000 (58.083)
Epoch: [1][8350/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.0476 (3.0666)	Prec@1 26.000 (28.898)	Prec@5 61.000 (58.087)
Epoch: [1][8360/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7971 (3.0664)	Prec@1 32.500 (28.900)	Prec@5 67.000 (58.090)
Epoch: [1][8370/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 3.0035 (3.0663)	Prec@1 30.500 (28.902)	Prec@5 63.500 (58.093)
Epoch: [1][8380/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8085 (3.0661)	Prec@1 31.500 (28.905)	Prec@5 64.000 (58.097)
Epoch: [1][8390/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.9902 (3.0660)	Prec@1 33.000 (28.908)	Prec@5 60.500 (58.098)
Epoch: [1][8400/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 3.3321 (3.0660)	Prec@1 21.000 (28.908)	Prec@5 54.000 (58.098)
Epoch: [1][8410/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 3.0106 (3.0658)	Prec@1 31.000 (28.911)	Prec@5 64.000 (58.102)
Epoch: [1][8420/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7768 (3.0657)	Prec@1 35.500 (28.914)	Prec@5 63.500 (58.105)
Epoch: [1][8430/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.8133 (3.0655)	Prec@1 30.500 (28.918)	Prec@5 62.000 (58.109)
Epoch: [1][8440/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 3.0994 (3.0655)	Prec@1 28.500 (28.919)	Prec@5 57.500 (58.109)
Epoch: [1][8450/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.0032 (3.0653)	Prec@1 30.500 (28.922)	Prec@5 59.500 (58.115)
Epoch: [1][8460/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 3.0641 (3.0652)	Prec@1 31.000 (28.925)	Prec@5 58.000 (58.117)
Epoch: [1][8470/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.8982 (3.0650)	Prec@1 34.000 (28.930)	Prec@5 60.000 (58.121)
Epoch: [1][8480/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7707 (3.0649)	Prec@1 32.500 (28.932)	Prec@5 62.500 (58.123)
Epoch: [1][8490/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9352 (3.0647)	Prec@1 29.000 (28.935)	Prec@5 58.500 (58.127)
Epoch: [1][8500/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.9853 (3.0646)	Prec@1 32.000 (28.936)	Prec@5 57.500 (58.129)
Epoch: [1][8510/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8078 (3.0645)	Prec@1 35.500 (28.937)	Prec@5 65.500 (58.130)
Epoch: [1][8520/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.8676 (3.0644)	Prec@1 38.000 (28.938)	Prec@5 63.500 (58.132)
Epoch: [1][8530/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.9824 (3.0642)	Prec@1 30.000 (28.941)	Prec@5 60.000 (58.134)
Epoch: [1][8540/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 3.1378 (3.0642)	Prec@1 27.000 (28.941)	Prec@5 56.500 (58.136)
Epoch: [1][8550/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 3.0007 (3.0640)	Prec@1 29.000 (28.942)	Prec@5 61.000 (58.138)
Epoch: [1][8560/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 3.1134 (3.0639)	Prec@1 30.500 (28.944)	Prec@5 56.500 (58.141)
Epoch: [1][8570/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.9236 (3.0638)	Prec@1 27.500 (28.944)	Prec@5 62.000 (58.142)
Epoch: [1][8580/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5905 (3.0637)	Prec@1 40.000 (28.948)	Prec@5 68.000 (58.145)
Epoch: [1][8590/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.1318 (3.0635)	Prec@1 29.000 (28.951)	Prec@5 54.000 (58.148)
Epoch: [1][8600/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8352 (3.0634)	Prec@1 30.000 (28.954)	Prec@5 61.500 (58.151)
Epoch: [1][8610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.0039 (3.0633)	Prec@1 28.500 (28.954)	Prec@5 58.000 (58.151)
Epoch: [1][8620/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.9947 (3.0632)	Prec@1 29.000 (28.956)	Prec@5 62.000 (58.154)
Epoch: [1][8630/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.8194 (3.0630)	Prec@1 33.000 (28.959)	Prec@5 65.500 (58.159)
Epoch: [1][8640/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9123 (3.0628)	Prec@1 34.500 (28.962)	Prec@5 62.000 (58.164)
Epoch: [1][8650/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.9944 (3.0627)	Prec@1 33.500 (28.966)	Prec@5 59.500 (58.166)
Epoch: [1][8660/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.1526 (3.0625)	Prec@1 28.500 (28.971)	Prec@5 58.000 (58.170)
Epoch: [1][8670/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.8924 (3.0624)	Prec@1 37.500 (28.972)	Prec@5 60.500 (58.173)
Epoch: [1][8680/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 3.0125 (3.0622)	Prec@1 30.000 (28.975)	Prec@5 57.500 (58.176)
Epoch: [1][8690/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8503 (3.0621)	Prec@1 29.000 (28.976)	Prec@5 66.000 (58.178)
Epoch: [1][8700/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 3.1712 (3.0621)	Prec@1 25.000 (28.976)	Prec@5 56.000 (58.181)
Epoch: [1][8710/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.8755 (3.0618)	Prec@1 27.500 (28.978)	Prec@5 62.500 (58.186)
Epoch: [1][8720/9018]	Time 0.754 (0.615)	Data 0.001 (0.001)	Loss 3.0830 (3.0617)	Prec@1 31.500 (28.982)	Prec@5 59.000 (58.188)
Epoch: [1][8730/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8495 (3.0615)	Prec@1 34.500 (28.984)	Prec@5 63.500 (58.192)
Epoch: [1][8740/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8970 (3.0613)	Prec@1 32.000 (28.986)	Prec@5 63.500 (58.196)
Epoch: [1][8750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8320 (3.0612)	Prec@1 34.500 (28.989)	Prec@5 62.000 (58.200)
Epoch: [1][8760/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8303 (3.0610)	Prec@1 33.000 (28.992)	Prec@5 62.000 (58.202)
Epoch: [1][8770/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.9004 (3.0610)	Prec@1 31.000 (28.991)	Prec@5 59.500 (58.201)
Epoch: [1][8780/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8466 (3.0608)	Prec@1 36.000 (28.994)	Prec@5 62.500 (58.206)
Epoch: [1][8790/9018]	Time 0.614 (0.615)	Data 0.002 (0.001)	Loss 2.9646 (3.0606)	Prec@1 28.500 (28.997)	Prec@5 59.500 (58.210)
Epoch: [1][8800/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.9230 (3.0605)	Prec@1 34.500 (29.000)	Prec@5 62.000 (58.215)
Epoch: [1][8810/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.9310 (3.0603)	Prec@1 28.500 (29.003)	Prec@5 62.500 (58.219)
Epoch: [1][8820/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8516 (3.0602)	Prec@1 33.000 (29.006)	Prec@5 65.500 (58.222)
Epoch: [1][8830/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.7489 (3.0600)	Prec@1 36.500 (29.009)	Prec@5 65.500 (58.225)
Epoch: [1][8840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.9674 (3.0598)	Prec@1 33.000 (29.012)	Prec@5 58.000 (58.229)
Epoch: [1][8850/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 3.0820 (3.0596)	Prec@1 29.500 (29.015)	Prec@5 52.500 (58.232)
Epoch: [1][8860/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.7772 (3.0594)	Prec@1 29.000 (29.018)	Prec@5 65.500 (58.235)
Epoch: [1][8870/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7498 (3.0592)	Prec@1 34.500 (29.021)	Prec@5 63.500 (58.240)
Epoch: [1][8880/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8669 (3.0591)	Prec@1 31.500 (29.026)	Prec@5 62.500 (58.243)
Epoch: [1][8890/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 3.0287 (3.0589)	Prec@1 28.500 (29.029)	Prec@5 59.500 (58.247)
Epoch: [1][8900/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.1272 (3.0588)	Prec@1 27.500 (29.030)	Prec@5 56.500 (58.248)
Epoch: [1][8910/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.9686 (3.0586)	Prec@1 29.500 (29.033)	Prec@5 65.000 (58.253)
Epoch: [1][8920/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.8782 (3.0584)	Prec@1 33.000 (29.036)	Prec@5 63.500 (58.255)
Epoch: [1][8930/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9130 (3.0583)	Prec@1 33.500 (29.041)	Prec@5 60.500 (58.258)
Epoch: [1][8940/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.9794 (3.0581)	Prec@1 33.000 (29.044)	Prec@5 56.000 (58.262)
Epoch: [1][8950/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6713 (3.0579)	Prec@1 35.000 (29.047)	Prec@5 72.500 (58.267)
Epoch: [1][8960/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8556 (3.0578)	Prec@1 29.500 (29.050)	Prec@5 59.500 (58.269)
Epoch: [1][8970/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6410 (3.0577)	Prec@1 35.500 (29.053)	Prec@5 63.500 (58.272)
Epoch: [1][8980/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.9622 (3.0576)	Prec@1 31.000 (29.053)	Prec@5 59.500 (58.274)
Epoch: [1][8990/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.1613 (3.0574)	Prec@1 27.000 (29.054)	Prec@5 52.500 (58.276)
Epoch: [1][9000/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.7869 (3.0573)	Prec@1 35.000 (29.058)	Prec@5 65.000 (58.278)
Epoch: [1][9010/9018]	Time 0.600 (0.615)	Data 0.000 (0.001)	Loss 2.7415 (3.0572)	Prec@1 33.000 (29.059)	Prec@5 67.500 (58.282)
Test: [0/183]	Time 1.260 (1.260)	Loss 3.0645 (3.0645)	Prec@1 27.000 (27.000)	Prec@5 64.500 (64.500)
Test: [10/183]	Time 0.197 (0.297)	Loss 2.6106 (2.6683)	Prec@1 40.500 (35.955)	Prec@5 66.500 (67.773)
Test: [20/183]	Time 0.195 (0.255)	Loss 3.5303 (2.6580)	Prec@1 13.000 (36.167)	Prec@5 50.000 (67.548)
Test: [30/183]	Time 0.185 (0.236)	Loss 3.3067 (2.7413)	Prec@1 9.000 (34.032)	Prec@5 55.000 (65.935)
Test: [40/183]	Time 0.205 (0.228)	Loss 2.7683 (2.7412)	Prec@1 27.500 (34.780)	Prec@5 66.500 (65.549)
Test: [50/183]	Time 0.198 (0.222)	Loss 2.6516 (2.7758)	Prec@1 28.500 (34.196)	Prec@5 70.000 (64.843)
Test: [60/183]	Time 0.194 (0.217)	Loss 2.8580 (2.8426)	Prec@1 26.500 (32.525)	Prec@5 66.000 (63.098)
Test: [70/183]	Time 0.190 (0.215)	Loss 2.2588 (2.8560)	Prec@1 44.000 (31.958)	Prec@5 75.500 (62.972)
Test: [80/183]	Time 0.187 (0.212)	Loss 2.1406 (2.8626)	Prec@1 46.000 (31.765)	Prec@5 81.500 (62.840)
Test: [90/183]	Time 0.197 (0.211)	Loss 4.1560 (2.8722)	Prec@1 10.500 (31.341)	Prec@5 36.000 (62.462)
Test: [100/183]	Time 0.191 (0.210)	Loss 1.8052 (2.8806)	Prec@1 57.500 (31.233)	Prec@5 84.500 (62.267)
Test: [110/183]	Time 0.183 (0.209)	Loss 1.6115 (2.8560)	Prec@1 62.000 (31.950)	Prec@5 86.000 (62.563)
Test: [120/183]	Time 0.185 (0.208)	Loss 2.8284 (2.8653)	Prec@1 27.000 (31.583)	Prec@5 60.500 (62.252)
Test: [130/183]	Time 0.187 (0.207)	Loss 4.3745 (2.8556)	Prec@1 5.500 (31.733)	Prec@5 29.500 (62.523)
Test: [140/183]	Time 0.214 (0.206)	Loss 1.9551 (2.8436)	Prec@1 56.000 (32.074)	Prec@5 80.500 (62.787)
Test: [150/183]	Time 0.201 (0.206)	Loss 1.5170 (2.8315)	Prec@1 59.500 (32.351)	Prec@5 88.500 (62.950)
Test: [160/183]	Time 0.191 (0.205)	Loss 2.8951 (2.8204)	Prec@1 31.000 (32.609)	Prec@5 54.500 (63.152)
Test: [170/183]	Time 0.188 (0.205)	Loss 2.8029 (2.8399)	Prec@1 27.500 (32.284)	Prec@5 67.500 (62.675)
Test: [180/183]	Time 0.187 (0.204)	Loss 3.2278 (2.8517)	Prec@1 25.500 (32.066)	Prec@5 54.000 (62.431)
 * Prec@1 32.025 Prec@5 62.364
Epoch: [2][0/9018]	Time 2.803 (2.803)	Data 2.200 (2.200)	Loss 2.7043 (2.7043)	Prec@1 31.500 (31.500)	Prec@5 65.000 (65.000)
Epoch: [2][10/9018]	Time 0.597 (0.798)	Data 0.001 (0.201)	Loss 2.9510 (2.8802)	Prec@1 28.500 (31.136)	Prec@5 59.000 (61.545)
Epoch: [2][20/9018]	Time 0.599 (0.712)	Data 0.001 (0.106)	Loss 3.0964 (2.9451)	Prec@1 29.500 (30.810)	Prec@5 57.500 (61.143)
Epoch: [2][30/9018]	Time 0.594 (0.675)	Data 0.001 (0.072)	Loss 2.9275 (2.9328)	Prec@1 33.500 (31.435)	Prec@5 61.500 (61.097)
Epoch: [2][40/9018]	Time 0.594 (0.659)	Data 0.001 (0.054)	Loss 2.7030 (2.9187)	Prec@1 35.500 (31.854)	Prec@5 65.000 (61.244)
Epoch: [2][50/9018]	Time 0.593 (0.651)	Data 0.001 (0.044)	Loss 3.0251 (2.9081)	Prec@1 31.000 (31.990)	Prec@5 59.500 (61.333)
Epoch: [2][60/9018]	Time 0.613 (0.643)	Data 0.001 (0.037)	Loss 2.6120 (2.9018)	Prec@1 39.500 (32.074)	Prec@5 67.500 (61.598)
Epoch: [2][70/9018]	Time 0.592 (0.639)	Data 0.001 (0.032)	Loss 2.9922 (2.9068)	Prec@1 30.000 (32.063)	Prec@5 60.500 (61.500)
Epoch: [2][80/9018]	Time 0.783 (0.638)	Data 0.001 (0.028)	Loss 3.2617 (2.9171)	Prec@1 24.500 (31.802)	Prec@5 56.000 (61.457)
Epoch: [2][90/9018]	Time 0.597 (0.634)	Data 0.001 (0.025)	Loss 2.7825 (2.9109)	Prec@1 35.500 (31.984)	Prec@5 62.500 (61.648)
Epoch: [2][100/9018]	Time 0.604 (0.634)	Data 0.001 (0.023)	Loss 2.9665 (2.9099)	Prec@1 28.000 (31.985)	Prec@5 57.000 (61.550)
Epoch: [2][110/9018]	Time 0.601 (0.630)	Data 0.001 (0.021)	Loss 2.9828 (2.9160)	Prec@1 35.000 (31.937)	Prec@5 61.500 (61.383)
Epoch: [2][120/9018]	Time 0.593 (0.630)	Data 0.001 (0.019)	Loss 2.8481 (2.9108)	Prec@1 28.500 (32.000)	Prec@5 60.500 (61.550)
Epoch: [2][130/9018]	Time 0.728 (0.629)	Data 0.001 (0.018)	Loss 2.8532 (2.9097)	Prec@1 30.000 (32.034)	Prec@5 63.500 (61.592)
Epoch: [2][140/9018]	Time 0.605 (0.627)	Data 0.001 (0.016)	Loss 3.0881 (2.9160)	Prec@1 29.500 (31.819)	Prec@5 59.500 (61.457)
Epoch: [2][150/9018]	Time 0.615 (0.628)	Data 0.001 (0.015)	Loss 3.1215 (2.9206)	Prec@1 31.000 (31.709)	Prec@5 55.500 (61.325)
Epoch: [2][160/9018]	Time 0.628 (0.627)	Data 0.001 (0.014)	Loss 2.7470 (2.9188)	Prec@1 32.500 (31.761)	Prec@5 64.500 (61.335)
Epoch: [2][170/9018]	Time 0.596 (0.626)	Data 0.001 (0.014)	Loss 2.9327 (2.9193)	Prec@1 33.500 (31.681)	Prec@5 64.000 (61.307)
Epoch: [2][180/9018]	Time 0.598 (0.626)	Data 0.001 (0.013)	Loss 2.9041 (2.9167)	Prec@1 27.000 (31.702)	Prec@5 58.000 (61.320)
Epoch: [2][190/9018]	Time 0.624 (0.625)	Data 0.001 (0.012)	Loss 2.9555 (2.9153)	Prec@1 33.000 (31.654)	Prec@5 60.500 (61.348)
Epoch: [2][200/9018]	Time 0.596 (0.625)	Data 0.001 (0.012)	Loss 2.8549 (2.9138)	Prec@1 32.000 (31.617)	Prec@5 63.000 (61.391)
Epoch: [2][210/9018]	Time 0.601 (0.624)	Data 0.001 (0.011)	Loss 2.9602 (2.9165)	Prec@1 30.500 (31.583)	Prec@5 59.000 (61.348)
Epoch: [2][220/9018]	Time 0.594 (0.623)	Data 0.001 (0.011)	Loss 3.0092 (2.9151)	Prec@1 29.500 (31.631)	Prec@5 60.000 (61.360)
Epoch: [2][230/9018]	Time 0.635 (0.624)	Data 0.001 (0.010)	Loss 2.8417 (2.9135)	Prec@1 32.500 (31.582)	Prec@5 60.500 (61.374)
Epoch: [2][240/9018]	Time 0.601 (0.623)	Data 0.001 (0.010)	Loss 3.0530 (2.9156)	Prec@1 32.000 (31.541)	Prec@5 61.000 (61.257)
Epoch: [2][250/9018]	Time 0.611 (0.623)	Data 0.001 (0.010)	Loss 2.8692 (2.9171)	Prec@1 27.000 (31.528)	Prec@5 62.500 (61.221)
Epoch: [2][260/9018]	Time 0.630 (0.622)	Data 0.001 (0.009)	Loss 2.9325 (2.9173)	Prec@1 29.000 (31.479)	Prec@5 61.500 (61.199)
Epoch: [2][270/9018]	Time 0.611 (0.622)	Data 0.001 (0.009)	Loss 2.9356 (2.9183)	Prec@1 29.500 (31.404)	Prec@5 60.500 (61.144)
Epoch: [2][280/9018]	Time 0.641 (0.622)	Data 0.001 (0.009)	Loss 2.7919 (2.9210)	Prec@1 36.000 (31.386)	Prec@5 64.500 (61.075)
Epoch: [2][290/9018]	Time 0.625 (0.622)	Data 0.001 (0.008)	Loss 2.6682 (2.9182)	Prec@1 35.000 (31.424)	Prec@5 65.500 (61.115)
Epoch: [2][300/9018]	Time 0.629 (0.622)	Data 0.001 (0.008)	Loss 3.1289 (2.9184)	Prec@1 30.500 (31.450)	Prec@5 55.000 (61.110)
Epoch: [2][310/9018]	Time 0.601 (0.621)	Data 0.001 (0.008)	Loss 3.0557 (2.9188)	Prec@1 29.000 (31.452)	Prec@5 59.500 (61.085)
Epoch: [2][320/9018]	Time 0.599 (0.622)	Data 0.001 (0.008)	Loss 2.9188 (2.9166)	Prec@1 31.500 (31.458)	Prec@5 58.500 (61.129)
Epoch: [2][330/9018]	Time 0.615 (0.622)	Data 0.001 (0.007)	Loss 3.0421 (2.9151)	Prec@1 27.000 (31.459)	Prec@5 59.000 (61.159)
Epoch: [2][340/9018]	Time 0.605 (0.621)	Data 0.001 (0.007)	Loss 2.8474 (2.9142)	Prec@1 36.500 (31.493)	Prec@5 65.000 (61.177)
Epoch: [2][350/9018]	Time 0.595 (0.621)	Data 0.001 (0.007)	Loss 2.9445 (2.9133)	Prec@1 32.000 (31.496)	Prec@5 61.500 (61.170)
Epoch: [2][360/9018]	Time 0.620 (0.620)	Data 0.001 (0.007)	Loss 2.9328 (2.9137)	Prec@1 30.500 (31.490)	Prec@5 62.000 (61.184)
Epoch: [2][370/9018]	Time 0.597 (0.620)	Data 0.001 (0.007)	Loss 2.7858 (2.9132)	Prec@1 33.000 (31.507)	Prec@5 65.500 (61.167)
Epoch: [2][380/9018]	Time 0.590 (0.620)	Data 0.001 (0.007)	Loss 2.9601 (2.9127)	Prec@1 33.000 (31.528)	Prec@5 61.500 (61.199)
Epoch: [2][390/9018]	Time 0.619 (0.620)	Data 0.001 (0.006)	Loss 3.0486 (2.9128)	Prec@1 32.000 (31.509)	Prec@5 53.000 (61.182)
Epoch: [2][400/9018]	Time 0.594 (0.620)	Data 0.003 (0.006)	Loss 2.9531 (2.9128)	Prec@1 36.500 (31.521)	Prec@5 58.500 (61.201)
Epoch: [2][410/9018]	Time 0.761 (0.620)	Data 0.001 (0.006)	Loss 2.8336 (2.9119)	Prec@1 31.500 (31.540)	Prec@5 61.500 (61.208)
Epoch: [2][420/9018]	Time 0.607 (0.620)	Data 0.001 (0.006)	Loss 2.9071 (2.9118)	Prec@1 31.000 (31.539)	Prec@5 62.000 (61.185)
Epoch: [2][430/9018]	Time 0.603 (0.620)	Data 0.001 (0.006)	Loss 2.9778 (2.9119)	Prec@1 28.500 (31.546)	Prec@5 59.000 (61.210)
Epoch: [2][440/9018]	Time 0.614 (0.619)	Data 0.001 (0.006)	Loss 2.7777 (2.9105)	Prec@1 31.500 (31.586)	Prec@5 62.500 (61.246)
Epoch: [2][450/9018]	Time 0.603 (0.619)	Data 0.001 (0.006)	Loss 3.0538 (2.9097)	Prec@1 32.000 (31.604)	Prec@5 60.000 (61.275)
Epoch: [2][460/9018]	Time 0.735 (0.619)	Data 0.001 (0.006)	Loss 2.9362 (2.9107)	Prec@1 32.500 (31.590)	Prec@5 60.500 (61.259)
Epoch: [2][470/9018]	Time 0.606 (0.619)	Data 0.001 (0.005)	Loss 2.7734 (2.9119)	Prec@1 31.000 (31.580)	Prec@5 60.000 (61.251)
Epoch: [2][480/9018]	Time 0.592 (0.619)	Data 0.001 (0.005)	Loss 2.8818 (2.9113)	Prec@1 32.000 (31.604)	Prec@5 60.000 (61.279)
Epoch: [2][490/9018]	Time 0.614 (0.619)	Data 0.001 (0.005)	Loss 2.8044 (2.9106)	Prec@1 28.500 (31.628)	Prec@5 64.500 (61.315)
Epoch: [2][500/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 2.8263 (2.9102)	Prec@1 26.500 (31.606)	Prec@5 63.000 (61.320)
Epoch: [2][510/9018]	Time 0.629 (0.619)	Data 0.002 (0.005)	Loss 2.7238 (2.9095)	Prec@1 36.000 (31.617)	Prec@5 62.500 (61.341)
Epoch: [2][520/9018]	Time 0.618 (0.619)	Data 0.001 (0.005)	Loss 3.0371 (2.9080)	Prec@1 31.000 (31.669)	Prec@5 56.000 (61.345)
Epoch: [2][530/9018]	Time 0.607 (0.619)	Data 0.001 (0.005)	Loss 3.2258 (2.9082)	Prec@1 27.500 (31.661)	Prec@5 56.500 (61.339)
Epoch: [2][540/9018]	Time 0.624 (0.619)	Data 0.001 (0.005)	Loss 3.0474 (2.9086)	Prec@1 23.500 (31.627)	Prec@5 57.500 (61.320)
Epoch: [2][550/9018]	Time 0.592 (0.618)	Data 0.001 (0.005)	Loss 2.9849 (2.9097)	Prec@1 27.000 (31.593)	Prec@5 62.000 (61.315)
Epoch: [2][560/9018]	Time 0.630 (0.619)	Data 0.001 (0.005)	Loss 2.9984 (2.9110)	Prec@1 27.500 (31.564)	Prec@5 58.500 (61.287)
Epoch: [2][570/9018]	Time 0.603 (0.618)	Data 0.001 (0.005)	Loss 2.8976 (2.9098)	Prec@1 32.500 (31.567)	Prec@5 58.500 (61.301)
Epoch: [2][580/9018]	Time 0.593 (0.618)	Data 0.001 (0.005)	Loss 2.6174 (2.9088)	Prec@1 39.500 (31.605)	Prec@5 68.000 (61.340)
Epoch: [2][590/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 2.5392 (2.9086)	Prec@1 38.000 (31.583)	Prec@5 66.000 (61.354)
Epoch: [2][600/9018]	Time 0.624 (0.618)	Data 0.001 (0.004)	Loss 2.6036 (2.9072)	Prec@1 33.500 (31.590)	Prec@5 69.500 (61.385)
Epoch: [2][610/9018]	Time 0.633 (0.618)	Data 0.001 (0.004)	Loss 2.9114 (2.9079)	Prec@1 32.500 (31.587)	Prec@5 61.500 (61.381)
Epoch: [2][620/9018]	Time 0.590 (0.618)	Data 0.001 (0.004)	Loss 3.0791 (2.9091)	Prec@1 28.000 (31.571)	Prec@5 58.500 (61.347)
Epoch: [2][630/9018]	Time 0.592 (0.618)	Data 0.001 (0.004)	Loss 2.8797 (2.9082)	Prec@1 32.500 (31.574)	Prec@5 61.000 (61.365)
Epoch: [2][640/9018]	Time 0.620 (0.618)	Data 0.001 (0.004)	Loss 3.0228 (2.9087)	Prec@1 30.500 (31.551)	Prec@5 57.500 (61.357)
Epoch: [2][650/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 2.8930 (2.9085)	Prec@1 30.500 (31.541)	Prec@5 60.500 (61.359)
Epoch: [2][660/9018]	Time 0.610 (0.618)	Data 0.001 (0.004)	Loss 3.1214 (2.9094)	Prec@1 25.000 (31.536)	Prec@5 56.500 (61.344)
Epoch: [2][670/9018]	Time 0.610 (0.618)	Data 0.001 (0.004)	Loss 2.8658 (2.9084)	Prec@1 37.000 (31.536)	Prec@5 60.500 (61.369)
Epoch: [2][680/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.5779 (2.9070)	Prec@1 37.000 (31.566)	Prec@5 68.500 (61.389)
Epoch: [2][690/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 3.1348 (2.9066)	Prec@1 31.500 (31.588)	Prec@5 56.500 (61.394)
Epoch: [2][700/9018]	Time 0.617 (0.618)	Data 0.001 (0.004)	Loss 2.8105 (2.9064)	Prec@1 34.000 (31.599)	Prec@5 63.500 (61.401)
Epoch: [2][710/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.9504 (2.9072)	Prec@1 35.000 (31.605)	Prec@5 57.000 (61.380)
Epoch: [2][720/9018]	Time 0.592 (0.618)	Data 0.001 (0.004)	Loss 2.7385 (2.9064)	Prec@1 35.000 (31.617)	Prec@5 64.500 (61.409)
Epoch: [2][730/9018]	Time 0.589 (0.618)	Data 0.001 (0.004)	Loss 2.6997 (2.9061)	Prec@1 37.500 (31.642)	Prec@5 62.500 (61.410)
Epoch: [2][740/9018]	Time 0.775 (0.618)	Data 0.001 (0.004)	Loss 2.8296 (2.9062)	Prec@1 32.000 (31.641)	Prec@5 62.500 (61.406)
Epoch: [2][750/9018]	Time 0.590 (0.618)	Data 0.001 (0.004)	Loss 2.9318 (2.9057)	Prec@1 27.500 (31.649)	Prec@5 57.500 (61.415)
Epoch: [2][760/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 2.9200 (2.9048)	Prec@1 27.500 (31.648)	Prec@5 62.000 (61.422)
Epoch: [2][770/9018]	Time 0.629 (0.618)	Data 0.001 (0.004)	Loss 3.0682 (2.9057)	Prec@1 27.500 (31.635)	Prec@5 60.000 (61.405)
Epoch: [2][780/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 3.0237 (2.9052)	Prec@1 30.500 (31.640)	Prec@5 57.000 (61.415)
Epoch: [2][790/9018]	Time 0.735 (0.618)	Data 0.001 (0.004)	Loss 2.8372 (2.9052)	Prec@1 36.000 (31.658)	Prec@5 61.500 (61.413)
Epoch: [2][800/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.8096 (2.9050)	Prec@1 35.000 (31.641)	Prec@5 61.500 (61.411)
Epoch: [2][810/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.8217 (2.9049)	Prec@1 32.000 (31.634)	Prec@5 67.000 (61.408)
Epoch: [2][820/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 2.7843 (2.9056)	Prec@1 35.500 (31.619)	Prec@5 62.000 (61.395)
Epoch: [2][830/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 3.0008 (2.9057)	Prec@1 33.000 (31.629)	Prec@5 65.500 (61.405)
Epoch: [2][840/9018]	Time 0.624 (0.618)	Data 0.001 (0.003)	Loss 3.0096 (2.9043)	Prec@1 29.000 (31.662)	Prec@5 61.000 (61.439)
Epoch: [2][850/9018]	Time 0.626 (0.617)	Data 0.001 (0.003)	Loss 2.7386 (2.9042)	Prec@1 32.500 (31.650)	Prec@5 63.000 (61.427)
Epoch: [2][860/9018]	Time 0.600 (0.618)	Data 0.003 (0.003)	Loss 3.0677 (2.9049)	Prec@1 24.500 (31.632)	Prec@5 57.500 (61.416)
Epoch: [2][870/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.8679 (2.9047)	Prec@1 30.000 (31.634)	Prec@5 62.000 (61.420)
Epoch: [2][880/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 3.0080 (2.9057)	Prec@1 32.500 (31.624)	Prec@5 58.000 (61.403)
Epoch: [2][890/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.6841 (2.9047)	Prec@1 35.500 (31.638)	Prec@5 66.000 (61.417)
Epoch: [2][900/9018]	Time 0.632 (0.617)	Data 0.001 (0.003)	Loss 2.9145 (2.9041)	Prec@1 34.000 (31.656)	Prec@5 63.500 (61.430)
Epoch: [2][910/9018]	Time 0.610 (0.618)	Data 0.001 (0.003)	Loss 2.9262 (2.9039)	Prec@1 36.000 (31.668)	Prec@5 63.500 (61.456)
Epoch: [2][920/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.8139 (2.9039)	Prec@1 30.500 (31.666)	Prec@5 63.000 (61.464)
Epoch: [2][930/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 3.0718 (2.9043)	Prec@1 27.500 (31.647)	Prec@5 59.500 (61.463)
Epoch: [2][940/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 2.8022 (2.9040)	Prec@1 32.500 (31.650)	Prec@5 64.000 (61.473)
Epoch: [2][950/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 3.0524 (2.9052)	Prec@1 31.500 (31.626)	Prec@5 62.000 (61.454)
Epoch: [2][960/9018]	Time 0.590 (0.617)	Data 0.002 (0.003)	Loss 2.9693 (2.9051)	Prec@1 35.500 (31.636)	Prec@5 62.000 (61.467)
Epoch: [2][970/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.8733 (2.9054)	Prec@1 30.500 (31.631)	Prec@5 62.500 (61.459)
Epoch: [2][980/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.6734 (2.9056)	Prec@1 37.500 (31.635)	Prec@5 65.500 (61.450)
Epoch: [2][990/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 3.3820 (2.9064)	Prec@1 28.000 (31.614)	Prec@5 52.000 (61.437)
Epoch: [2][1000/9018]	Time 0.643 (0.617)	Data 0.001 (0.003)	Loss 2.8497 (2.9066)	Prec@1 34.500 (31.612)	Prec@5 58.000 (61.431)
Epoch: [2][1010/9018]	Time 0.656 (0.617)	Data 0.001 (0.003)	Loss 2.8010 (2.9059)	Prec@1 33.500 (31.629)	Prec@5 64.000 (61.444)
Epoch: [2][1020/9018]	Time 0.620 (0.617)	Data 0.001 (0.003)	Loss 2.9780 (2.9057)	Prec@1 32.500 (31.643)	Prec@5 58.500 (61.456)
Epoch: [2][1030/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 3.0800 (2.9062)	Prec@1 29.500 (31.640)	Prec@5 56.500 (61.438)
Epoch: [2][1040/9018]	Time 0.620 (0.617)	Data 0.001 (0.003)	Loss 2.9790 (2.9069)	Prec@1 36.000 (31.636)	Prec@5 62.000 (61.429)
Epoch: [2][1050/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.7398 (2.9067)	Prec@1 33.000 (31.651)	Prec@5 64.500 (61.432)
Epoch: [2][1060/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 2.9875 (2.9068)	Prec@1 31.000 (31.647)	Prec@5 60.500 (61.435)
Epoch: [2][1070/9018]	Time 0.746 (0.618)	Data 0.001 (0.003)	Loss 2.5091 (2.9061)	Prec@1 38.000 (31.659)	Prec@5 67.500 (61.444)
Epoch: [2][1080/9018]	Time 0.639 (0.617)	Data 0.001 (0.003)	Loss 2.8821 (2.9067)	Prec@1 29.000 (31.648)	Prec@5 63.000 (61.435)
Epoch: [2][1090/9018]	Time 0.623 (0.618)	Data 0.001 (0.003)	Loss 2.9034 (2.9074)	Prec@1 33.500 (31.637)	Prec@5 61.000 (61.423)
Epoch: [2][1100/9018]	Time 0.613 (0.618)	Data 0.001 (0.003)	Loss 3.0247 (2.9080)	Prec@1 27.500 (31.619)	Prec@5 60.500 (61.416)
Epoch: [2][1110/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 2.9066 (2.9086)	Prec@1 30.500 (31.613)	Prec@5 59.000 (61.402)
Epoch: [2][1120/9018]	Time 0.746 (0.618)	Data 0.001 (0.003)	Loss 2.8418 (2.9083)	Prec@1 30.000 (31.616)	Prec@5 65.500 (61.412)
Epoch: [2][1130/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.8687 (2.9083)	Prec@1 31.000 (31.611)	Prec@5 60.500 (61.410)
Epoch: [2][1140/9018]	Time 0.632 (0.618)	Data 0.001 (0.003)	Loss 2.9792 (2.9075)	Prec@1 30.000 (31.625)	Prec@5 63.500 (61.423)
Epoch: [2][1150/9018]	Time 0.649 (0.618)	Data 0.001 (0.003)	Loss 2.8747 (2.9083)	Prec@1 31.500 (31.607)	Prec@5 61.000 (61.404)
Epoch: [2][1160/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 2.9134 (2.9088)	Prec@1 32.500 (31.597)	Prec@5 59.500 (61.385)
Epoch: [2][1170/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 2.7807 (2.9085)	Prec@1 33.000 (31.604)	Prec@5 64.500 (61.403)
Epoch: [2][1180/9018]	Time 0.639 (0.618)	Data 0.001 (0.003)	Loss 2.9871 (2.9087)	Prec@1 30.500 (31.601)	Prec@5 61.500 (61.394)
Epoch: [2][1190/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 3.0612 (2.9088)	Prec@1 26.500 (31.591)	Prec@5 57.000 (61.388)
Epoch: [2][1200/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 3.0170 (2.9089)	Prec@1 25.000 (31.587)	Prec@5 61.000 (61.396)
Epoch: [2][1210/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.8804 (2.9086)	Prec@1 31.000 (31.586)	Prec@5 61.500 (61.394)
Epoch: [2][1220/9018]	Time 0.628 (0.618)	Data 0.001 (0.003)	Loss 2.8382 (2.9085)	Prec@1 35.500 (31.583)	Prec@5 61.000 (61.392)
Epoch: [2][1230/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 3.0163 (2.9093)	Prec@1 27.000 (31.584)	Prec@5 57.500 (61.371)
Epoch: [2][1240/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 2.9263 (2.9094)	Prec@1 29.000 (31.575)	Prec@5 58.500 (61.367)
Epoch: [2][1250/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 2.9609 (2.9094)	Prec@1 34.000 (31.566)	Prec@5 58.500 (61.363)
Epoch: [2][1260/9018]	Time 0.633 (0.618)	Data 0.001 (0.003)	Loss 2.9009 (2.9094)	Prec@1 28.500 (31.567)	Prec@5 59.500 (61.362)
Epoch: [2][1270/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 3.1257 (2.9097)	Prec@1 27.500 (31.559)	Prec@5 55.000 (61.354)
Epoch: [2][1280/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 3.0077 (2.9097)	Prec@1 27.500 (31.560)	Prec@5 58.000 (61.352)
Epoch: [2][1290/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 3.0084 (2.9092)	Prec@1 34.500 (31.572)	Prec@5 61.000 (61.363)
Epoch: [2][1300/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 2.8656 (2.9093)	Prec@1 35.500 (31.571)	Prec@5 64.000 (61.372)
Epoch: [2][1310/9018]	Time 0.632 (0.618)	Data 0.001 (0.003)	Loss 2.9343 (2.9087)	Prec@1 31.500 (31.577)	Prec@5 57.000 (61.382)
Epoch: [2][1320/9018]	Time 0.594 (0.618)	Data 0.001 (0.002)	Loss 2.8382 (2.9084)	Prec@1 31.500 (31.578)	Prec@5 61.500 (61.388)
Epoch: [2][1330/9018]	Time 0.627 (0.618)	Data 0.001 (0.002)	Loss 3.1099 (2.9089)	Prec@1 26.500 (31.563)	Prec@5 58.000 (61.383)
Epoch: [2][1340/9018]	Time 0.603 (0.618)	Data 0.001 (0.002)	Loss 2.9733 (2.9088)	Prec@1 32.500 (31.564)	Prec@5 59.000 (61.378)
Epoch: [2][1350/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 2.9976 (2.9086)	Prec@1 33.000 (31.565)	Prec@5 61.500 (61.381)
Epoch: [2][1360/9018]	Time 0.596 (0.618)	Data 0.001 (0.002)	Loss 3.1299 (2.9087)	Prec@1 26.500 (31.570)	Prec@5 57.000 (61.375)
Epoch: [2][1370/9018]	Time 0.640 (0.618)	Data 0.001 (0.002)	Loss 2.8945 (2.9087)	Prec@1 30.000 (31.573)	Prec@5 62.500 (61.374)
Epoch: [2][1380/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 2.8151 (2.9086)	Prec@1 36.500 (31.577)	Prec@5 63.500 (61.382)
Epoch: [2][1390/9018]	Time 0.605 (0.618)	Data 0.001 (0.002)	Loss 2.9234 (2.9088)	Prec@1 27.000 (31.570)	Prec@5 62.500 (61.382)
Epoch: [2][1400/9018]	Time 0.785 (0.618)	Data 0.001 (0.002)	Loss 2.7415 (2.9086)	Prec@1 36.500 (31.582)	Prec@5 60.000 (61.378)
Epoch: [2][1410/9018]	Time 0.615 (0.618)	Data 0.001 (0.002)	Loss 2.6773 (2.9080)	Prec@1 35.000 (31.589)	Prec@5 65.500 (61.386)
Epoch: [2][1420/9018]	Time 0.608 (0.618)	Data 0.001 (0.002)	Loss 2.8713 (2.9078)	Prec@1 28.500 (31.594)	Prec@5 62.500 (61.389)
Epoch: [2][1430/9018]	Time 0.620 (0.618)	Data 0.001 (0.002)	Loss 2.8142 (2.9080)	Prec@1 29.000 (31.585)	Prec@5 64.000 (61.382)
Epoch: [2][1440/9018]	Time 0.606 (0.618)	Data 0.001 (0.002)	Loss 3.1144 (2.9078)	Prec@1 30.500 (31.578)	Prec@5 59.500 (61.384)
Epoch: [2][1450/9018]	Time 0.745 (0.618)	Data 0.001 (0.002)	Loss 2.8886 (2.9080)	Prec@1 34.000 (31.572)	Prec@5 64.500 (61.376)
Epoch: [2][1460/9018]	Time 0.601 (0.618)	Data 0.001 (0.002)	Loss 2.9577 (2.9080)	Prec@1 31.000 (31.573)	Prec@5 58.000 (61.374)
Epoch: [2][1470/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 2.9344 (2.9082)	Prec@1 27.500 (31.574)	Prec@5 60.500 (61.366)
Epoch: [2][1480/9018]	Time 0.623 (0.618)	Data 0.001 (0.002)	Loss 2.7876 (2.9080)	Prec@1 34.500 (31.579)	Prec@5 65.500 (61.368)
Epoch: [2][1490/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 2.7954 (2.9078)	Prec@1 38.000 (31.596)	Prec@5 66.000 (61.369)
Epoch: [2][1500/9018]	Time 0.595 (0.618)	Data 0.001 (0.002)	Loss 2.9176 (2.9078)	Prec@1 34.000 (31.594)	Prec@5 59.000 (61.359)
Epoch: [2][1510/9018]	Time 0.591 (0.618)	Data 0.001 (0.002)	Loss 2.8044 (2.9070)	Prec@1 33.500 (31.605)	Prec@5 61.500 (61.380)
Epoch: [2][1520/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 2.8965 (2.9068)	Prec@1 30.500 (31.612)	Prec@5 61.500 (61.381)
Epoch: [2][1530/9018]	Time 0.619 (0.618)	Data 0.001 (0.002)	Loss 2.7553 (2.9064)	Prec@1 36.500 (31.626)	Prec@5 64.000 (61.384)
Epoch: [2][1540/9018]	Time 0.614 (0.618)	Data 0.001 (0.002)	Loss 2.7438 (2.9066)	Prec@1 38.500 (31.625)	Prec@5 64.000 (61.393)
Epoch: [2][1550/9018]	Time 0.611 (0.618)	Data 0.001 (0.002)	Loss 2.8294 (2.9066)	Prec@1 30.500 (31.616)	Prec@5 62.500 (61.393)
Epoch: [2][1560/9018]	Time 0.613 (0.618)	Data 0.001 (0.002)	Loss 2.9473 (2.9070)	Prec@1 34.500 (31.607)	Prec@5 59.000 (61.385)
Epoch: [2][1570/9018]	Time 0.597 (0.618)	Data 0.003 (0.002)	Loss 2.9954 (2.9066)	Prec@1 29.500 (31.604)	Prec@5 63.000 (61.400)
Epoch: [2][1580/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 2.8730 (2.9068)	Prec@1 33.000 (31.600)	Prec@5 64.000 (61.395)
Epoch: [2][1590/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 2.9422 (2.9067)	Prec@1 30.000 (31.598)	Prec@5 58.500 (61.398)
Epoch: [2][1600/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 3.0718 (2.9066)	Prec@1 26.500 (31.592)	Prec@5 54.000 (61.399)
Epoch: [2][1610/9018]	Time 0.627 (0.618)	Data 0.001 (0.002)	Loss 2.9755 (2.9073)	Prec@1 30.500 (31.579)	Prec@5 60.000 (61.380)
Epoch: [2][1620/9018]	Time 0.603 (0.618)	Data 0.001 (0.002)	Loss 2.8706 (2.9070)	Prec@1 33.500 (31.591)	Prec@5 61.000 (61.390)
Epoch: [2][1630/9018]	Time 0.627 (0.618)	Data 0.001 (0.002)	Loss 2.8988 (2.9069)	Prec@1 37.500 (31.602)	Prec@5 60.500 (61.391)
Epoch: [2][1640/9018]	Time 0.594 (0.618)	Data 0.001 (0.002)	Loss 2.8563 (2.9067)	Prec@1 32.500 (31.604)	Prec@5 60.000 (61.391)
Epoch: [2][1650/9018]	Time 0.620 (0.618)	Data 0.001 (0.002)	Loss 2.9828 (2.9068)	Prec@1 29.000 (31.602)	Prec@5 61.000 (61.392)
Epoch: [2][1660/9018]	Time 0.633 (0.618)	Data 0.001 (0.002)	Loss 2.9864 (2.9066)	Prec@1 26.000 (31.602)	Prec@5 60.000 (61.403)
Epoch: [2][1670/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 2.8691 (2.9063)	Prec@1 25.500 (31.599)	Prec@5 60.500 (61.409)
Epoch: [2][1680/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 2.8608 (2.9062)	Prec@1 32.500 (31.606)	Prec@5 64.000 (61.416)
Epoch: [2][1690/9018]	Time 0.634 (0.618)	Data 0.003 (0.002)	Loss 2.6695 (2.9063)	Prec@1 37.000 (31.603)	Prec@5 66.500 (61.412)
Epoch: [2][1700/9018]	Time 0.629 (0.618)	Data 0.001 (0.002)	Loss 2.8741 (2.9066)	Prec@1 33.000 (31.594)	Prec@5 61.000 (61.409)
Epoch: [2][1710/9018]	Time 0.613 (0.618)	Data 0.001 (0.002)	Loss 2.9771 (2.9069)	Prec@1 33.500 (31.594)	Prec@5 59.000 (61.407)
Epoch: [2][1720/9018]	Time 0.607 (0.618)	Data 0.001 (0.002)	Loss 2.8311 (2.9061)	Prec@1 33.000 (31.607)	Prec@5 61.000 (61.427)
Epoch: [2][1730/9018]	Time 0.803 (0.618)	Data 0.001 (0.002)	Loss 2.8001 (2.9062)	Prec@1 34.500 (31.601)	Prec@5 64.000 (61.425)
Epoch: [2][1740/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 2.8403 (2.9063)	Prec@1 31.500 (31.589)	Prec@5 63.500 (61.424)
Epoch: [2][1750/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 2.7833 (2.9062)	Prec@1 32.000 (31.595)	Prec@5 63.000 (61.428)
Epoch: [2][1760/9018]	Time 0.604 (0.618)	Data 0.001 (0.002)	Loss 2.8077 (2.9059)	Prec@1 31.500 (31.597)	Prec@5 61.000 (61.440)
Epoch: [2][1770/9018]	Time 0.591 (0.618)	Data 0.001 (0.002)	Loss 2.7917 (2.9059)	Prec@1 33.000 (31.592)	Prec@5 64.500 (61.432)
Epoch: [2][1780/9018]	Time 0.740 (0.618)	Data 0.001 (0.002)	Loss 2.9245 (2.9061)	Prec@1 31.000 (31.587)	Prec@5 63.000 (61.433)
Epoch: [2][1790/9018]	Time 0.616 (0.617)	Data 0.001 (0.002)	Loss 2.9944 (2.9058)	Prec@1 30.500 (31.603)	Prec@5 61.000 (61.441)
Epoch: [2][1800/9018]	Time 0.610 (0.618)	Data 0.001 (0.002)	Loss 2.8085 (2.9061)	Prec@1 35.000 (31.600)	Prec@5 62.500 (61.436)
Epoch: [2][1810/9018]	Time 0.615 (0.618)	Data 0.001 (0.002)	Loss 2.9685 (2.9061)	Prec@1 28.500 (31.608)	Prec@5 62.500 (61.436)
Epoch: [2][1820/9018]	Time 0.627 (0.618)	Data 0.001 (0.002)	Loss 2.7388 (2.9059)	Prec@1 36.500 (31.608)	Prec@5 65.000 (61.442)
Epoch: [2][1830/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 3.0648 (2.9059)	Prec@1 30.500 (31.613)	Prec@5 55.500 (61.447)
Epoch: [2][1840/9018]	Time 0.611 (0.618)	Data 0.001 (0.002)	Loss 2.8951 (2.9057)	Prec@1 28.500 (31.622)	Prec@5 61.000 (61.449)
Epoch: [2][1850/9018]	Time 0.608 (0.618)	Data 0.001 (0.002)	Loss 2.8801 (2.9054)	Prec@1 32.500 (31.628)	Prec@5 64.000 (61.455)
Epoch: [2][1860/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.8534 (2.9055)	Prec@1 31.000 (31.625)	Prec@5 61.500 (61.457)
Epoch: [2][1870/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 2.9322 (2.9056)	Prec@1 34.000 (31.626)	Prec@5 62.500 (61.454)
Epoch: [2][1880/9018]	Time 0.609 (0.618)	Data 0.001 (0.002)	Loss 2.8611 (2.9054)	Prec@1 31.500 (31.630)	Prec@5 60.000 (61.459)
Epoch: [2][1890/9018]	Time 0.616 (0.617)	Data 0.001 (0.002)	Loss 2.8966 (2.9055)	Prec@1 31.500 (31.631)	Prec@5 58.500 (61.457)
Epoch: [2][1900/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.7945 (2.9054)	Prec@1 33.000 (31.628)	Prec@5 62.000 (61.463)
Epoch: [2][1910/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.9715 (2.9053)	Prec@1 32.000 (31.628)	Prec@5 58.500 (61.462)
Epoch: [2][1920/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.9330 (2.9055)	Prec@1 30.500 (31.626)	Prec@5 58.000 (61.456)
Epoch: [2][1930/9018]	Time 0.621 (0.617)	Data 0.001 (0.002)	Loss 2.9697 (2.9059)	Prec@1 30.000 (31.621)	Prec@5 55.500 (61.445)
Epoch: [2][1940/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.8683 (2.9056)	Prec@1 32.500 (31.624)	Prec@5 62.000 (61.448)
Epoch: [2][1950/9018]	Time 0.603 (0.617)	Data 0.002 (0.002)	Loss 2.8925 (2.9057)	Prec@1 30.500 (31.620)	Prec@5 61.000 (61.443)
Epoch: [2][1960/9018]	Time 0.631 (0.617)	Data 0.001 (0.002)	Loss 2.7209 (2.9055)	Prec@1 36.500 (31.626)	Prec@5 64.000 (61.445)
Epoch: [2][1970/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.8235 (2.9054)	Prec@1 32.500 (31.630)	Prec@5 61.500 (61.449)
Epoch: [2][1980/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 3.1222 (2.9054)	Prec@1 26.500 (31.635)	Prec@5 57.000 (61.447)
Epoch: [2][1990/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.8487 (2.9051)	Prec@1 29.500 (31.635)	Prec@5 65.000 (61.454)
Epoch: [2][2000/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.9703 (2.9048)	Prec@1 27.500 (31.638)	Prec@5 57.500 (61.454)
Epoch: [2][2010/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 3.0230 (2.9050)	Prec@1 30.000 (31.635)	Prec@5 56.000 (61.452)
Epoch: [2][2020/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.8591 (2.9047)	Prec@1 31.000 (31.631)	Prec@5 61.000 (61.459)
Epoch: [2][2030/9018]	Time 0.591 (0.617)	Data 0.001 (0.002)	Loss 2.9558 (2.9045)	Prec@1 28.000 (31.631)	Prec@5 59.500 (61.467)
Epoch: [2][2040/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.8529 (2.9042)	Prec@1 32.000 (31.633)	Prec@5 63.500 (61.476)
Epoch: [2][2050/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.9525 (2.9043)	Prec@1 31.500 (31.633)	Prec@5 59.000 (61.470)
Epoch: [2][2060/9018]	Time 0.757 (0.617)	Data 0.001 (0.002)	Loss 3.0199 (2.9040)	Prec@1 26.000 (31.641)	Prec@5 57.500 (61.474)
Epoch: [2][2070/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.8385 (2.9036)	Prec@1 32.000 (31.648)	Prec@5 61.000 (61.479)
Epoch: [2][2080/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.7783 (2.9038)	Prec@1 35.500 (31.640)	Prec@5 66.000 (61.475)
Epoch: [2][2090/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.8535 (2.9035)	Prec@1 32.000 (31.646)	Prec@5 61.000 (61.479)
Epoch: [2][2100/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.9467 (2.9037)	Prec@1 30.000 (31.643)	Prec@5 59.500 (61.477)
Epoch: [2][2110/9018]	Time 0.750 (0.617)	Data 0.001 (0.002)	Loss 2.7010 (2.9033)	Prec@1 36.000 (31.650)	Prec@5 66.500 (61.483)
Epoch: [2][2120/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.8899 (2.9035)	Prec@1 35.000 (31.649)	Prec@5 64.000 (61.477)
Epoch: [2][2130/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.9653 (2.9039)	Prec@1 36.000 (31.648)	Prec@5 57.500 (61.468)
Epoch: [2][2140/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.9784 (2.9042)	Prec@1 28.500 (31.635)	Prec@5 61.500 (61.461)
Epoch: [2][2150/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.6873 (2.9041)	Prec@1 35.000 (31.629)	Prec@5 65.500 (61.462)
Epoch: [2][2160/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.8428 (2.9041)	Prec@1 31.000 (31.631)	Prec@5 62.500 (61.461)
Epoch: [2][2170/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.8590 (2.9042)	Prec@1 32.500 (31.631)	Prec@5 59.500 (61.459)
Epoch: [2][2180/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.8566 (2.9041)	Prec@1 32.000 (31.638)	Prec@5 60.500 (61.461)
Epoch: [2][2190/9018]	Time 0.616 (0.617)	Data 0.001 (0.002)	Loss 2.6075 (2.9038)	Prec@1 37.500 (31.638)	Prec@5 67.500 (61.466)
Epoch: [2][2200/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 3.1481 (2.9035)	Prec@1 32.500 (31.650)	Prec@5 55.500 (61.470)
Epoch: [2][2210/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.9410 (2.9037)	Prec@1 34.000 (31.649)	Prec@5 63.000 (61.470)
Epoch: [2][2220/9018]	Time 0.644 (0.617)	Data 0.001 (0.002)	Loss 2.9630 (2.9037)	Prec@1 32.000 (31.651)	Prec@5 62.000 (61.475)
Epoch: [2][2230/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.8460 (2.9034)	Prec@1 37.000 (31.657)	Prec@5 66.500 (61.482)
Epoch: [2][2240/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.8557 (2.9035)	Prec@1 31.000 (31.653)	Prec@5 62.000 (61.483)
Epoch: [2][2250/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.8094 (2.9035)	Prec@1 36.500 (31.652)	Prec@5 61.000 (61.486)
Epoch: [2][2260/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 3.0778 (2.9034)	Prec@1 28.500 (31.657)	Prec@5 62.500 (61.490)
Epoch: [2][2270/9018]	Time 0.634 (0.617)	Data 0.001 (0.002)	Loss 2.8996 (2.9036)	Prec@1 34.000 (31.651)	Prec@5 63.500 (61.492)
Epoch: [2][2280/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.6091 (2.9041)	Prec@1 36.000 (31.652)	Prec@5 66.000 (61.479)
Epoch: [2][2290/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.8266 (2.9041)	Prec@1 30.000 (31.646)	Prec@5 61.000 (61.478)
Epoch: [2][2300/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 3.0059 (2.9041)	Prec@1 29.000 (31.646)	Prec@5 60.500 (61.483)
Epoch: [2][2310/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.8849 (2.9041)	Prec@1 31.000 (31.645)	Prec@5 60.500 (61.483)
Epoch: [2][2320/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.8260 (2.9044)	Prec@1 29.500 (31.639)	Prec@5 64.000 (61.476)
Epoch: [2][2330/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.8187 (2.9044)	Prec@1 35.000 (31.640)	Prec@5 61.500 (61.477)
Epoch: [2][2340/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 2.9526 (2.9041)	Prec@1 33.000 (31.640)	Prec@5 60.000 (61.485)
Epoch: [2][2350/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.6808 (2.9039)	Prec@1 33.500 (31.645)	Prec@5 65.000 (61.486)
Epoch: [2][2360/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.7375 (2.9041)	Prec@1 34.000 (31.636)	Prec@5 64.500 (61.483)
Epoch: [2][2370/9018]	Time 0.613 (0.617)	Data 0.001 (0.002)	Loss 2.9232 (2.9043)	Prec@1 32.000 (31.627)	Prec@5 60.500 (61.480)
Epoch: [2][2380/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 3.2032 (2.9047)	Prec@1 27.500 (31.614)	Prec@5 56.500 (61.474)
Epoch: [2][2390/9018]	Time 0.781 (0.617)	Data 0.001 (0.002)	Loss 3.0058 (2.9046)	Prec@1 29.500 (31.618)	Prec@5 63.000 (61.475)
Epoch: [2][2400/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 3.0719 (2.9044)	Prec@1 35.000 (31.624)	Prec@5 57.500 (61.475)
Epoch: [2][2410/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.8130 (2.9045)	Prec@1 37.000 (31.626)	Prec@5 63.500 (61.473)
Epoch: [2][2420/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 3.0271 (2.9046)	Prec@1 28.000 (31.620)	Prec@5 60.500 (61.468)
Epoch: [2][2430/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 3.1480 (2.9048)	Prec@1 24.000 (31.618)	Prec@5 58.500 (61.463)
Epoch: [2][2440/9018]	Time 0.786 (0.617)	Data 0.001 (0.002)	Loss 2.9922 (2.9047)	Prec@1 28.000 (31.621)	Prec@5 59.000 (61.462)
Epoch: [2][2450/9018]	Time 0.615 (0.617)	Data 0.001 (0.002)	Loss 2.9693 (2.9050)	Prec@1 28.000 (31.618)	Prec@5 60.500 (61.459)
Epoch: [2][2460/9018]	Time 0.590 (0.617)	Data 0.001 (0.002)	Loss 2.8403 (2.9046)	Prec@1 34.500 (31.625)	Prec@5 61.000 (61.461)
Epoch: [2][2470/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.8222 (2.9044)	Prec@1 29.000 (31.625)	Prec@5 63.500 (61.466)
Epoch: [2][2480/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 3.0346 (2.9045)	Prec@1 25.500 (31.618)	Prec@5 62.000 (61.471)
Epoch: [2][2490/9018]	Time 0.613 (0.617)	Data 0.001 (0.002)	Loss 2.9241 (2.9045)	Prec@1 32.500 (31.615)	Prec@5 65.000 (61.472)
Epoch: [2][2500/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.9373 (2.9045)	Prec@1 31.000 (31.614)	Prec@5 59.000 (61.475)
Epoch: [2][2510/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.8868 (2.9046)	Prec@1 34.000 (31.616)	Prec@5 61.500 (61.469)
Epoch: [2][2520/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 2.9627 (2.9048)	Prec@1 29.000 (31.617)	Prec@5 60.500 (61.467)
Epoch: [2][2530/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.8767 (2.9050)	Prec@1 31.000 (31.613)	Prec@5 60.000 (61.458)
Epoch: [2][2540/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 3.0422 (2.9050)	Prec@1 28.000 (31.617)	Prec@5 58.000 (61.458)
Epoch: [2][2550/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.9418 (2.9050)	Prec@1 36.000 (31.617)	Prec@5 61.500 (61.457)
Epoch: [2][2560/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.8060 (2.9049)	Prec@1 34.000 (31.618)	Prec@5 65.500 (61.459)
Epoch: [2][2570/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.7393 (2.9047)	Prec@1 34.000 (31.623)	Prec@5 65.500 (61.460)
Epoch: [2][2580/9018]	Time 0.618 (0.617)	Data 0.001 (0.002)	Loss 2.9187 (2.9050)	Prec@1 27.500 (31.618)	Prec@5 61.000 (61.456)
Epoch: [2][2590/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.6819 (2.9047)	Prec@1 38.000 (31.625)	Prec@5 63.500 (61.459)
Epoch: [2][2600/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 3.0440 (2.9048)	Prec@1 30.500 (31.623)	Prec@5 60.000 (61.459)
Epoch: [2][2610/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.8794 (2.9045)	Prec@1 33.000 (31.620)	Prec@5 59.500 (61.467)
Epoch: [2][2620/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.8608 (2.9046)	Prec@1 28.500 (31.618)	Prec@5 61.000 (61.466)
Epoch: [2][2630/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.8149 (2.9047)	Prec@1 35.500 (31.615)	Prec@5 64.000 (61.467)
Epoch: [2][2640/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 3.0510 (2.9045)	Prec@1 29.000 (31.617)	Prec@5 55.000 (61.467)
Epoch: [2][2650/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.8294 (2.9043)	Prec@1 33.000 (31.620)	Prec@5 64.000 (61.476)
Epoch: [2][2660/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.8078 (2.9043)	Prec@1 35.000 (31.617)	Prec@5 63.000 (61.473)
Epoch: [2][2670/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.8163 (2.9042)	Prec@1 32.000 (31.619)	Prec@5 65.500 (61.475)
Epoch: [2][2680/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.7807 (2.9040)	Prec@1 32.000 (31.616)	Prec@5 63.000 (61.477)
Epoch: [2][2690/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 3.0124 (2.9041)	Prec@1 26.000 (31.615)	Prec@5 55.500 (61.475)
Epoch: [2][2700/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.9741 (2.9041)	Prec@1 32.000 (31.618)	Prec@5 59.500 (61.477)
Epoch: [2][2710/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.8999 (2.9042)	Prec@1 27.000 (31.611)	Prec@5 60.000 (61.478)
Epoch: [2][2720/9018]	Time 0.725 (0.617)	Data 0.001 (0.002)	Loss 2.8280 (2.9038)	Prec@1 36.500 (31.616)	Prec@5 63.000 (61.485)
Epoch: [2][2730/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 3.0119 (2.9036)	Prec@1 29.500 (31.619)	Prec@5 56.500 (61.486)
Epoch: [2][2740/9018]	Time 0.614 (0.617)	Data 0.002 (0.002)	Loss 2.8585 (2.9034)	Prec@1 27.500 (31.623)	Prec@5 64.500 (61.490)
Epoch: [2][2750/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.9500 (2.9034)	Prec@1 30.500 (31.624)	Prec@5 62.500 (61.491)
Epoch: [2][2760/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.9829 (2.9033)	Prec@1 33.000 (31.625)	Prec@5 61.000 (61.489)
Epoch: [2][2770/9018]	Time 0.731 (0.617)	Data 0.001 (0.002)	Loss 2.8756 (2.9032)	Prec@1 33.000 (31.626)	Prec@5 66.000 (61.494)
Epoch: [2][2780/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.7993 (2.9031)	Prec@1 36.500 (31.630)	Prec@5 65.500 (61.499)
Epoch: [2][2790/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.8267 (2.9027)	Prec@1 37.500 (31.640)	Prec@5 58.500 (61.512)
Epoch: [2][2800/9018]	Time 0.637 (0.617)	Data 0.001 (0.002)	Loss 2.7493 (2.9027)	Prec@1 31.500 (31.638)	Prec@5 66.000 (61.511)
Epoch: [2][2810/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.9808 (2.9026)	Prec@1 29.500 (31.642)	Prec@5 61.500 (61.511)
Epoch: [2][2820/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 3.0082 (2.9026)	Prec@1 25.000 (31.646)	Prec@5 59.500 (61.510)
Epoch: [2][2830/9018]	Time 0.616 (0.617)	Data 0.001 (0.002)	Loss 2.8353 (2.9025)	Prec@1 34.000 (31.646)	Prec@5 61.500 (61.513)
Epoch: [2][2840/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.7584 (2.9026)	Prec@1 30.500 (31.646)	Prec@5 65.500 (61.512)
Epoch: [2][2850/9018]	Time 0.646 (0.617)	Data 0.001 (0.002)	Loss 2.8302 (2.9025)	Prec@1 29.500 (31.649)	Prec@5 61.500 (61.513)
Epoch: [2][2860/9018]	Time 0.634 (0.617)	Data 0.001 (0.002)	Loss 2.8277 (2.9023)	Prec@1 35.000 (31.650)	Prec@5 64.000 (61.521)
Epoch: [2][2870/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.7697 (2.9022)	Prec@1 32.500 (31.656)	Prec@5 66.500 (61.520)
Epoch: [2][2880/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 3.0411 (2.9022)	Prec@1 29.000 (31.656)	Prec@5 62.500 (61.523)
Epoch: [2][2890/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 2.7556 (2.9022)	Prec@1 39.000 (31.655)	Prec@5 63.000 (61.521)
Epoch: [2][2900/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.9320 (2.9020)	Prec@1 32.500 (31.660)	Prec@5 58.500 (61.527)
Epoch: [2][2910/9018]	Time 0.613 (0.617)	Data 0.001 (0.002)	Loss 2.8387 (2.9020)	Prec@1 30.000 (31.659)	Prec@5 61.500 (61.521)
Epoch: [2][2920/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.7121 (2.9019)	Prec@1 35.000 (31.663)	Prec@5 62.500 (61.529)
Epoch: [2][2930/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.9424 (2.9018)	Prec@1 29.500 (31.664)	Prec@5 58.000 (61.535)
Epoch: [2][2940/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.7968 (2.9016)	Prec@1 32.000 (31.672)	Prec@5 65.500 (61.539)
Epoch: [2][2950/9018]	Time 0.639 (0.617)	Data 0.001 (0.002)	Loss 2.6607 (2.9014)	Prec@1 35.500 (31.676)	Prec@5 67.000 (61.542)
Epoch: [2][2960/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 3.0313 (2.9013)	Prec@1 29.500 (31.677)	Prec@5 59.000 (61.545)
Epoch: [2][2970/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.9777 (2.9013)	Prec@1 30.000 (31.675)	Prec@5 61.500 (61.547)
Epoch: [2][2980/9018]	Time 0.620 (0.617)	Data 0.001 (0.002)	Loss 3.0852 (2.9014)	Prec@1 32.000 (31.677)	Prec@5 58.500 (61.542)
Epoch: [2][2990/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.7081 (2.9014)	Prec@1 34.000 (31.679)	Prec@5 66.000 (61.546)
Epoch: [2][3000/9018]	Time 0.632 (0.617)	Data 0.001 (0.002)	Loss 3.0703 (2.9016)	Prec@1 25.000 (31.673)	Prec@5 60.500 (61.540)
Epoch: [2][3010/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.7598 (2.9013)	Prec@1 33.000 (31.674)	Prec@5 64.500 (61.548)
Epoch: [2][3020/9018]	Time 0.613 (0.617)	Data 0.001 (0.002)	Loss 2.7696 (2.9011)	Prec@1 36.500 (31.674)	Prec@5 66.000 (61.554)
Epoch: [2][3030/9018]	Time 0.617 (0.617)	Data 0.001 (0.002)	Loss 2.8661 (2.9012)	Prec@1 38.500 (31.676)	Prec@5 62.500 (61.552)
Epoch: [2][3040/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.8553 (2.9013)	Prec@1 33.500 (31.674)	Prec@5 62.500 (61.549)
Epoch: [2][3050/9018]	Time 0.752 (0.617)	Data 0.001 (0.002)	Loss 2.9074 (2.9016)	Prec@1 30.500 (31.668)	Prec@5 56.000 (61.540)
Epoch: [2][3060/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.7683 (2.9017)	Prec@1 31.500 (31.670)	Prec@5 60.500 (61.537)
Epoch: [2][3070/9018]	Time 0.611 (0.617)	Data 0.001 (0.002)	Loss 2.9823 (2.9017)	Prec@1 29.000 (31.668)	Prec@5 59.500 (61.534)
Epoch: [2][3080/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.6099 (2.9016)	Prec@1 37.500 (31.663)	Prec@5 70.000 (61.538)
Epoch: [2][3090/9018]	Time 0.637 (0.617)	Data 0.001 (0.002)	Loss 2.9786 (2.9014)	Prec@1 32.000 (31.664)	Prec@5 58.000 (61.543)
Epoch: [2][3100/9018]	Time 0.740 (0.617)	Data 0.001 (0.002)	Loss 2.8213 (2.9013)	Prec@1 35.500 (31.664)	Prec@5 63.500 (61.545)
Epoch: [2][3110/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.8344 (2.9013)	Prec@1 30.500 (31.665)	Prec@5 66.000 (61.551)
Epoch: [2][3120/9018]	Time 0.611 (0.617)	Data 0.001 (0.002)	Loss 2.8299 (2.9011)	Prec@1 31.500 (31.667)	Prec@5 65.000 (61.555)
Epoch: [2][3130/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.9120 (2.9011)	Prec@1 33.500 (31.667)	Prec@5 60.000 (61.556)
Epoch: [2][3140/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.8211 (2.9011)	Prec@1 34.000 (31.664)	Prec@5 64.000 (61.560)
Epoch: [2][3150/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.9850 (2.9011)	Prec@1 31.000 (31.664)	Prec@5 59.000 (61.561)
Epoch: [2][3160/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 3.1627 (2.9011)	Prec@1 25.500 (31.665)	Prec@5 53.500 (61.561)
Epoch: [2][3170/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.8561 (2.9011)	Prec@1 33.000 (31.665)	Prec@5 66.000 (61.561)
Epoch: [2][3180/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.9938 (2.9013)	Prec@1 28.000 (31.661)	Prec@5 60.000 (61.553)
Epoch: [2][3190/9018]	Time 0.611 (0.617)	Data 0.001 (0.002)	Loss 2.9009 (2.9012)	Prec@1 30.000 (31.657)	Prec@5 63.500 (61.558)
Epoch: [2][3200/9018]	Time 0.642 (0.617)	Data 0.001 (0.002)	Loss 2.8343 (2.9010)	Prec@1 32.500 (31.659)	Prec@5 62.000 (61.560)
Epoch: [2][3210/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.8099 (2.9011)	Prec@1 31.000 (31.656)	Prec@5 64.500 (61.557)
Epoch: [2][3220/9018]	Time 0.615 (0.617)	Data 0.001 (0.002)	Loss 2.9695 (2.9009)	Prec@1 31.500 (31.659)	Prec@5 53.500 (61.560)
Epoch: [2][3230/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.9156 (2.9009)	Prec@1 30.000 (31.659)	Prec@5 58.000 (61.560)
Epoch: [2][3240/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.9609 (2.9008)	Prec@1 28.500 (31.656)	Prec@5 59.000 (61.560)
Epoch: [2][3250/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 2.9053 (2.9008)	Prec@1 30.000 (31.660)	Prec@5 62.000 (61.560)
Epoch: [2][3260/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.8019 (2.9007)	Prec@1 34.000 (31.663)	Prec@5 62.000 (61.563)
Epoch: [2][3270/9018]	Time 0.602 (0.617)	Data 0.002 (0.002)	Loss 2.9914 (2.9004)	Prec@1 35.500 (31.673)	Prec@5 58.500 (61.567)
Epoch: [2][3280/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.4397 (2.9002)	Prec@1 38.000 (31.676)	Prec@5 71.500 (61.570)
Epoch: [2][3290/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.8194 (2.9001)	Prec@1 30.500 (31.671)	Prec@5 64.000 (61.572)
Epoch: [2][3300/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.9625 (2.9000)	Prec@1 29.500 (31.670)	Prec@5 56.500 (61.576)
Epoch: [2][3310/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.9961 (2.8999)	Prec@1 32.000 (31.671)	Prec@5 58.000 (61.580)
Epoch: [2][3320/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 3.1043 (2.8999)	Prec@1 28.500 (31.672)	Prec@5 55.500 (61.580)
Epoch: [2][3330/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 2.8510 (2.8999)	Prec@1 34.000 (31.675)	Prec@5 63.500 (61.580)
Epoch: [2][3340/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 2.7546 (2.8997)	Prec@1 34.500 (31.679)	Prec@5 66.500 (61.584)
Epoch: [2][3350/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 2.9988 (2.8998)	Prec@1 26.000 (31.683)	Prec@5 60.000 (61.588)
Epoch: [2][3360/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 2.8154 (2.8998)	Prec@1 32.000 (31.682)	Prec@5 65.500 (61.591)
Epoch: [2][3370/9018]	Time 0.591 (0.617)	Data 0.001 (0.001)	Loss 3.0205 (2.8998)	Prec@1 26.000 (31.680)	Prec@5 59.500 (61.590)
Epoch: [2][3380/9018]	Time 0.721 (0.617)	Data 0.001 (0.001)	Loss 3.0645 (2.8998)	Prec@1 27.500 (31.678)	Prec@5 60.500 (61.589)
Epoch: [2][3390/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 2.6891 (2.8995)	Prec@1 40.000 (31.688)	Prec@5 65.000 (61.594)
Epoch: [2][3400/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 2.6873 (2.8992)	Prec@1 33.500 (31.689)	Prec@5 66.500 (61.598)
Epoch: [2][3410/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.7857 (2.8991)	Prec@1 32.500 (31.693)	Prec@5 67.500 (61.601)
Epoch: [2][3420/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 2.6435 (2.8988)	Prec@1 37.500 (31.700)	Prec@5 66.500 (61.605)
Epoch: [2][3430/9018]	Time 0.727 (0.617)	Data 0.001 (0.001)	Loss 2.8072 (2.8989)	Prec@1 28.500 (31.693)	Prec@5 64.000 (61.600)
Epoch: [2][3440/9018]	Time 0.627 (0.617)	Data 0.001 (0.001)	Loss 2.8040 (2.8988)	Prec@1 33.500 (31.696)	Prec@5 65.500 (61.606)
Epoch: [2][3450/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.8360 (2.8986)	Prec@1 35.500 (31.700)	Prec@5 60.000 (61.607)
Epoch: [2][3460/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 2.8136 (2.8987)	Prec@1 34.500 (31.701)	Prec@5 61.000 (61.602)
Epoch: [2][3470/9018]	Time 0.619 (0.617)	Data 0.002 (0.001)	Loss 2.8619 (2.8987)	Prec@1 33.500 (31.700)	Prec@5 63.000 (61.603)
Epoch: [2][3480/9018]	Time 0.625 (0.617)	Data 0.001 (0.001)	Loss 3.0656 (2.8988)	Prec@1 25.500 (31.696)	Prec@5 59.000 (61.600)
Epoch: [2][3490/9018]	Time 0.597 (0.617)	Data 0.001 (0.001)	Loss 2.9745 (2.8986)	Prec@1 31.000 (31.699)	Prec@5 62.500 (61.607)
Epoch: [2][3500/9018]	Time 0.588 (0.617)	Data 0.001 (0.001)	Loss 2.8987 (2.8986)	Prec@1 35.500 (31.702)	Prec@5 61.000 (61.609)
Epoch: [2][3510/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 2.9511 (2.8984)	Prec@1 30.500 (31.703)	Prec@5 60.500 (61.612)
Epoch: [2][3520/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 2.9292 (2.8986)	Prec@1 30.000 (31.698)	Prec@5 61.000 (61.611)
Epoch: [2][3530/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 2.7536 (2.8984)	Prec@1 31.500 (31.701)	Prec@5 62.000 (61.609)
Epoch: [2][3540/9018]	Time 0.640 (0.617)	Data 0.001 (0.001)	Loss 3.0018 (2.8985)	Prec@1 29.000 (31.697)	Prec@5 60.000 (61.609)
Epoch: [2][3550/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 2.9243 (2.8984)	Prec@1 26.500 (31.698)	Prec@5 64.500 (61.612)
Epoch: [2][3560/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.8318 (2.8983)	Prec@1 34.000 (31.701)	Prec@5 60.000 (61.614)
Epoch: [2][3570/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 2.8470 (2.8982)	Prec@1 32.500 (31.702)	Prec@5 66.500 (61.617)
Epoch: [2][3580/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 3.1150 (2.8984)	Prec@1 27.500 (31.697)	Prec@5 57.000 (61.614)
Epoch: [2][3590/9018]	Time 0.590 (0.617)	Data 0.001 (0.001)	Loss 3.0981 (2.8984)	Prec@1 29.000 (31.696)	Prec@5 57.000 (61.611)
Epoch: [2][3600/9018]	Time 0.594 (0.617)	Data 0.001 (0.001)	Loss 2.8810 (2.8984)	Prec@1 32.000 (31.693)	Prec@5 61.500 (61.611)
Epoch: [2][3610/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 2.8630 (2.8982)	Prec@1 34.500 (31.691)	Prec@5 61.500 (61.613)
Epoch: [2][3620/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 2.5963 (2.8981)	Prec@1 40.500 (31.694)	Prec@5 69.500 (61.617)
Epoch: [2][3630/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 3.0591 (2.8981)	Prec@1 27.500 (31.696)	Prec@5 60.500 (61.619)
Epoch: [2][3640/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 2.9284 (2.8981)	Prec@1 32.000 (31.698)	Prec@5 64.500 (61.622)
Epoch: [2][3650/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 3.0187 (2.8981)	Prec@1 29.500 (31.700)	Prec@5 57.500 (61.620)
Epoch: [2][3660/9018]	Time 0.620 (0.617)	Data 0.001 (0.001)	Loss 3.0311 (2.8979)	Prec@1 27.000 (31.699)	Prec@5 59.000 (61.625)
Epoch: [2][3670/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.8620 (2.8978)	Prec@1 29.000 (31.702)	Prec@5 66.000 (61.627)
Epoch: [2][3680/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 2.9036 (2.8978)	Prec@1 30.500 (31.703)	Prec@5 61.000 (61.625)
Epoch: [2][3690/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 2.9241 (2.8978)	Prec@1 31.000 (31.701)	Prec@5 59.500 (61.625)
Epoch: [2][3700/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 3.0221 (2.8980)	Prec@1 28.500 (31.698)	Prec@5 59.500 (61.623)
Epoch: [2][3710/9018]	Time 0.746 (0.617)	Data 0.001 (0.001)	Loss 2.8562 (2.8981)	Prec@1 35.500 (31.699)	Prec@5 61.000 (61.621)
Epoch: [2][3720/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 2.7237 (2.8979)	Prec@1 37.000 (31.703)	Prec@5 64.500 (61.625)
Epoch: [2][3730/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 2.8923 (2.8980)	Prec@1 30.500 (31.699)	Prec@5 62.000 (61.620)
Epoch: [2][3740/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 2.9752 (2.8979)	Prec@1 30.000 (31.697)	Prec@5 65.500 (61.622)
Epoch: [2][3750/9018]	Time 0.620 (0.617)	Data 0.001 (0.001)	Loss 2.8744 (2.8977)	Prec@1 33.500 (31.702)	Prec@5 63.000 (61.628)
Epoch: [2][3760/9018]	Time 0.744 (0.617)	Data 0.001 (0.001)	Loss 2.7986 (2.8976)	Prec@1 37.000 (31.702)	Prec@5 62.500 (61.629)
Epoch: [2][3770/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 2.9321 (2.8975)	Prec@1 31.000 (31.704)	Prec@5 60.500 (61.629)
Epoch: [2][3780/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 2.7368 (2.8973)	Prec@1 34.000 (31.708)	Prec@5 61.500 (61.632)
Epoch: [2][3790/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 2.8515 (2.8973)	Prec@1 32.000 (31.710)	Prec@5 62.500 (61.630)
Epoch: [2][3800/9018]	Time 0.588 (0.617)	Data 0.001 (0.001)	Loss 3.1464 (2.8973)	Prec@1 24.500 (31.711)	Prec@5 54.500 (61.629)
Epoch: [2][3810/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 2.8792 (2.8973)	Prec@1 32.500 (31.711)	Prec@5 63.000 (61.631)
Epoch: [2][3820/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 2.7794 (2.8972)	Prec@1 33.000 (31.714)	Prec@5 61.500 (61.631)
Epoch: [2][3830/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 2.8788 (2.8970)	Prec@1 30.000 (31.716)	Prec@5 63.000 (61.635)
Epoch: [2][3840/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 2.7133 (2.8969)	Prec@1 32.500 (31.717)	Prec@5 66.000 (61.636)
Epoch: [2][3850/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 2.8235 (2.8969)	Prec@1 31.500 (31.716)	Prec@5 68.000 (61.639)
Epoch: [2][3860/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 2.9226 (2.8969)	Prec@1 27.000 (31.716)	Prec@5 62.000 (61.640)
Epoch: [2][3870/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 2.6992 (2.8966)	Prec@1 36.500 (31.722)	Prec@5 62.500 (61.646)
Epoch: [2][3880/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 3.0837 (2.8964)	Prec@1 29.000 (31.727)	Prec@5 59.000 (61.646)
Epoch: [2][3890/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 2.7377 (2.8963)	Prec@1 38.000 (31.733)	Prec@5 66.000 (61.648)
Epoch: [2][3900/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 2.6216 (2.8962)	Prec@1 31.500 (31.731)	Prec@5 69.500 (61.649)
Epoch: [2][3910/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.8521 (2.8961)	Prec@1 33.500 (31.735)	Prec@5 63.000 (61.653)
Epoch: [2][3920/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 2.9179 (2.8960)	Prec@1 36.000 (31.738)	Prec@5 62.500 (61.657)
Epoch: [2][3930/9018]	Time 0.600 (0.617)	Data 0.002 (0.001)	Loss 2.7309 (2.8958)	Prec@1 35.500 (31.741)	Prec@5 67.000 (61.662)
Epoch: [2][3940/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 2.9504 (2.8956)	Prec@1 31.500 (31.742)	Prec@5 59.500 (61.665)
Epoch: [2][3950/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 2.5068 (2.8954)	Prec@1 40.500 (31.747)	Prec@5 68.000 (61.670)
Epoch: [2][3960/9018]	Time 0.594 (0.617)	Data 0.001 (0.001)	Loss 2.8861 (2.8953)	Prec@1 30.500 (31.746)	Prec@5 61.000 (61.674)
Epoch: [2][3970/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 2.7284 (2.8950)	Prec@1 35.000 (31.749)	Prec@5 65.000 (61.680)
Epoch: [2][3980/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 2.7981 (2.8949)	Prec@1 31.000 (31.752)	Prec@5 63.500 (61.685)
Epoch: [2][3990/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 3.0413 (2.8949)	Prec@1 24.500 (31.748)	Prec@5 59.000 (61.684)
Epoch: [2][4000/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.8951 (2.8949)	Prec@1 32.000 (31.750)	Prec@5 63.500 (61.685)
Epoch: [2][4010/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 2.8831 (2.8947)	Prec@1 33.000 (31.753)	Prec@5 61.500 (61.687)
Epoch: [2][4020/9018]	Time 0.628 (0.617)	Data 0.001 (0.001)	Loss 3.0081 (2.8945)	Prec@1 30.500 (31.756)	Prec@5 60.500 (61.690)
Epoch: [2][4030/9018]	Time 0.590 (0.617)	Data 0.001 (0.001)	Loss 2.8029 (2.8945)	Prec@1 30.000 (31.757)	Prec@5 65.000 (61.692)
Epoch: [2][4040/9018]	Time 0.759 (0.617)	Data 0.001 (0.001)	Loss 2.8431 (2.8945)	Prec@1 38.500 (31.756)	Prec@5 59.000 (61.694)
Epoch: [2][4050/9018]	Time 0.620 (0.617)	Data 0.001 (0.001)	Loss 2.9004 (2.8946)	Prec@1 32.500 (31.755)	Prec@5 58.000 (61.688)
Epoch: [2][4060/9018]	Time 0.623 (0.617)	Data 0.001 (0.001)	Loss 2.8306 (2.8944)	Prec@1 34.500 (31.759)	Prec@5 63.500 (61.693)
Epoch: [2][4070/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 2.8767 (2.8943)	Prec@1 29.000 (31.759)	Prec@5 62.000 (61.695)
Epoch: [2][4080/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 2.7813 (2.8941)	Prec@1 34.500 (31.761)	Prec@5 61.500 (61.697)
Epoch: [2][4090/9018]	Time 0.708 (0.617)	Data 0.001 (0.001)	Loss 2.8890 (2.8940)	Prec@1 35.500 (31.759)	Prec@5 66.500 (61.701)
Epoch: [2][4100/9018]	Time 0.597 (0.617)	Data 0.002 (0.001)	Loss 2.7620 (2.8941)	Prec@1 31.000 (31.758)	Prec@5 64.500 (61.698)
Epoch: [2][4110/9018]	Time 0.594 (0.617)	Data 0.001 (0.001)	Loss 2.6891 (2.8938)	Prec@1 34.500 (31.762)	Prec@5 62.500 (61.703)
Epoch: [2][4120/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 3.0527 (2.8937)	Prec@1 33.000 (31.763)	Prec@5 62.000 (61.705)
Epoch: [2][4130/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 2.7666 (2.8936)	Prec@1 33.500 (31.766)	Prec@5 62.500 (61.707)
Epoch: [2][4140/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 2.7819 (2.8935)	Prec@1 36.000 (31.765)	Prec@5 63.500 (61.708)
Epoch: [2][4150/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.8717 (2.8934)	Prec@1 34.500 (31.769)	Prec@5 62.500 (61.709)
Epoch: [2][4160/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 2.8609 (2.8934)	Prec@1 36.000 (31.767)	Prec@5 62.500 (61.705)
Epoch: [2][4170/9018]	Time 0.631 (0.617)	Data 0.001 (0.001)	Loss 3.1041 (2.8933)	Prec@1 29.500 (31.767)	Prec@5 56.500 (61.708)
Epoch: [2][4180/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 2.7182 (2.8933)	Prec@1 35.500 (31.767)	Prec@5 66.000 (61.710)
Epoch: [2][4190/9018]	Time 0.640 (0.617)	Data 0.001 (0.001)	Loss 2.7708 (2.8931)	Prec@1 38.000 (31.771)	Prec@5 65.500 (61.714)
Epoch: [2][4200/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 2.7401 (2.8931)	Prec@1 35.500 (31.773)	Prec@5 61.000 (61.711)
Epoch: [2][4210/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 2.5773 (2.8931)	Prec@1 38.500 (31.774)	Prec@5 69.000 (61.711)
Epoch: [2][4220/9018]	Time 0.627 (0.617)	Data 0.001 (0.001)	Loss 2.9099 (2.8931)	Prec@1 29.500 (31.771)	Prec@5 60.500 (61.709)
Epoch: [2][4230/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 3.0191 (2.8931)	Prec@1 27.500 (31.768)	Prec@5 59.000 (61.709)
Epoch: [2][4240/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 2.6801 (2.8931)	Prec@1 38.500 (31.769)	Prec@5 65.500 (61.709)
Epoch: [2][4250/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 2.8495 (2.8930)	Prec@1 35.500 (31.774)	Prec@5 60.000 (61.707)
Epoch: [2][4260/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.8655 (2.8928)	Prec@1 37.000 (31.780)	Prec@5 60.500 (61.709)
Epoch: [2][4270/9018]	Time 0.634 (0.617)	Data 0.001 (0.001)	Loss 2.7447 (2.8927)	Prec@1 38.000 (31.785)	Prec@5 63.500 (61.709)
Epoch: [2][4280/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 2.7109 (2.8926)	Prec@1 34.500 (31.783)	Prec@5 67.000 (61.708)
Epoch: [2][4290/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 2.9667 (2.8926)	Prec@1 28.500 (31.780)	Prec@5 61.000 (61.710)
Epoch: [2][4300/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 2.8938 (2.8926)	Prec@1 31.500 (31.779)	Prec@5 62.000 (61.712)
Epoch: [2][4310/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.7065 (2.8925)	Prec@1 33.500 (31.780)	Prec@5 67.000 (61.712)
Epoch: [2][4320/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 2.8163 (2.8924)	Prec@1 31.500 (31.780)	Prec@5 65.000 (61.715)
Epoch: [2][4330/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.6959 (2.8922)	Prec@1 32.000 (31.784)	Prec@5 68.000 (61.720)
Epoch: [2][4340/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.8172 (2.8920)	Prec@1 34.000 (31.787)	Prec@5 62.000 (61.724)
Epoch: [2][4350/9018]	Time 0.589 (0.617)	Data 0.001 (0.001)	Loss 3.0052 (2.8923)	Prec@1 28.000 (31.779)	Prec@5 58.500 (61.720)
Epoch: [2][4360/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 2.6581 (2.8920)	Prec@1 31.500 (31.784)	Prec@5 66.500 (61.726)
Epoch: [2][4370/9018]	Time 0.737 (0.617)	Data 0.001 (0.001)	Loss 2.7489 (2.8919)	Prec@1 36.000 (31.783)	Prec@5 65.500 (61.729)
Epoch: [2][4380/9018]	Time 0.621 (0.617)	Data 0.001 (0.001)	Loss 2.7412 (2.8917)	Prec@1 32.500 (31.789)	Prec@5 62.000 (61.729)
Epoch: [2][4390/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 3.0915 (2.8916)	Prec@1 28.500 (31.791)	Prec@5 56.500 (61.732)
Epoch: [2][4400/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 2.9777 (2.8914)	Prec@1 34.000 (31.794)	Prec@5 58.000 (61.734)
Epoch: [2][4410/9018]	Time 0.592 (0.617)	Data 0.001 (0.001)	Loss 2.6067 (2.8914)	Prec@1 39.000 (31.796)	Prec@5 66.500 (61.734)
Epoch: [2][4420/9018]	Time 0.760 (0.617)	Data 0.001 (0.001)	Loss 2.6711 (2.8913)	Prec@1 38.000 (31.798)	Prec@5 60.500 (61.734)
Epoch: [2][4430/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.8443 (2.8913)	Prec@1 34.000 (31.798)	Prec@5 62.500 (61.735)
Epoch: [2][4440/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 3.1221 (2.8912)	Prec@1 31.000 (31.801)	Prec@5 58.000 (61.733)
Epoch: [2][4450/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 2.7142 (2.8911)	Prec@1 33.000 (31.801)	Prec@5 67.500 (61.738)
Epoch: [2][4460/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 2.9251 (2.8909)	Prec@1 33.500 (31.802)	Prec@5 60.500 (61.739)
Epoch: [2][4470/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 2.9998 (2.8910)	Prec@1 33.000 (31.802)	Prec@5 55.500 (61.739)
Epoch: [2][4480/9018]	Time 0.622 (0.617)	Data 0.001 (0.001)	Loss 2.9395 (2.8911)	Prec@1 33.500 (31.802)	Prec@5 60.500 (61.739)
Epoch: [2][4490/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 2.9205 (2.8910)	Prec@1 32.000 (31.803)	Prec@5 60.000 (61.741)
Epoch: [2][4500/9018]	Time 0.632 (0.617)	Data 0.001 (0.001)	Loss 2.8029 (2.8908)	Prec@1 30.500 (31.806)	Prec@5 64.500 (61.743)
Epoch: [2][4510/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 2.6016 (2.8907)	Prec@1 39.000 (31.809)	Prec@5 69.000 (61.746)
Epoch: [2][4520/9018]	Time 0.623 (0.617)	Data 0.001 (0.001)	Loss 2.8276 (2.8908)	Prec@1 35.500 (31.808)	Prec@5 65.000 (61.746)
Epoch: [2][4530/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 2.9446 (2.8907)	Prec@1 31.000 (31.807)	Prec@5 61.000 (61.746)
Epoch: [2][4540/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 2.6637 (2.8906)	Prec@1 34.500 (31.809)	Prec@5 66.000 (61.752)
Epoch: [2][4550/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 3.0361 (2.8906)	Prec@1 29.000 (31.811)	Prec@5 61.500 (61.754)
Epoch: [2][4560/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 3.0167 (2.8907)	Prec@1 29.500 (31.812)	Prec@5 56.000 (61.753)
Epoch: [2][4570/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 3.0698 (2.8908)	Prec@1 26.000 (31.809)	Prec@5 56.500 (61.751)
Epoch: [2][4580/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 2.8283 (2.8907)	Prec@1 31.000 (31.811)	Prec@5 65.000 (61.752)
Epoch: [2][4590/9018]	Time 0.597 (0.617)	Data 0.001 (0.001)	Loss 2.8272 (2.8907)	Prec@1 31.500 (31.810)	Prec@5 63.000 (61.753)
Epoch: [2][4600/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 2.8130 (2.8906)	Prec@1 31.000 (31.813)	Prec@5 65.000 (61.754)
Epoch: [2][4610/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 2.7410 (2.8905)	Prec@1 37.000 (31.817)	Prec@5 62.000 (61.756)
Epoch: [2][4620/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 2.7795 (2.8904)	Prec@1 35.000 (31.816)	Prec@5 63.000 (61.758)
Epoch: [2][4630/9018]	Time 0.629 (0.617)	Data 0.001 (0.001)	Loss 2.9140 (2.8903)	Prec@1 32.500 (31.819)	Prec@5 61.000 (61.760)
Epoch: [2][4640/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 2.9653 (2.8902)	Prec@1 27.000 (31.820)	Prec@5 64.500 (61.762)
Epoch: [2][4650/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 2.7285 (2.8902)	Prec@1 37.500 (31.821)	Prec@5 64.000 (61.762)
Epoch: [2][4660/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 2.9750 (2.8900)	Prec@1 30.000 (31.822)	Prec@5 58.000 (61.764)
Epoch: [2][4670/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 2.7500 (2.8900)	Prec@1 36.500 (31.825)	Prec@5 59.500 (61.764)
Epoch: [2][4680/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 2.7807 (2.8898)	Prec@1 33.000 (31.827)	Prec@5 65.000 (61.767)
Epoch: [2][4690/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 2.8044 (2.8898)	Prec@1 38.000 (31.830)	Prec@5 65.500 (61.769)
Epoch: [2][4700/9018]	Time 0.789 (0.617)	Data 0.001 (0.001)	Loss 2.7771 (2.8897)	Prec@1 32.500 (31.832)	Prec@5 64.000 (61.769)
Epoch: [2][4710/9018]	Time 0.630 (0.617)	Data 0.001 (0.001)	Loss 2.7609 (2.8896)	Prec@1 32.500 (31.830)	Prec@5 60.500 (61.769)
Epoch: [2][4720/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 2.9055 (2.8898)	Prec@1 26.500 (31.827)	Prec@5 61.000 (61.766)
Epoch: [2][4730/9018]	Time 0.627 (0.617)	Data 0.001 (0.001)	Loss 2.8170 (2.8898)	Prec@1 31.500 (31.829)	Prec@5 67.500 (61.766)
Epoch: [2][4740/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.6413 (2.8897)	Prec@1 38.000 (31.829)	Prec@5 62.000 (61.767)
Epoch: [2][4750/9018]	Time 0.741 (0.617)	Data 0.001 (0.001)	Loss 2.9269 (2.8895)	Prec@1 32.000 (31.830)	Prec@5 60.000 (61.769)
Epoch: [2][4760/9018]	Time 0.594 (0.617)	Data 0.001 (0.001)	Loss 2.7784 (2.8894)	Prec@1 33.500 (31.832)	Prec@5 60.000 (61.772)
Epoch: [2][4770/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 3.0164 (2.8893)	Prec@1 29.500 (31.831)	Prec@5 60.000 (61.773)
Epoch: [2][4780/9018]	Time 0.637 (0.617)	Data 0.001 (0.001)	Loss 2.8011 (2.8893)	Prec@1 33.500 (31.832)	Prec@5 63.500 (61.774)
Epoch: [2][4790/9018]	Time 0.597 (0.617)	Data 0.001 (0.001)	Loss 2.8176 (2.8893)	Prec@1 38.500 (31.831)	Prec@5 59.000 (61.772)
Epoch: [2][4800/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 2.8487 (2.8892)	Prec@1 32.000 (31.832)	Prec@5 61.000 (61.773)
Epoch: [2][4810/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 2.7471 (2.8891)	Prec@1 37.500 (31.832)	Prec@5 67.000 (61.776)
Epoch: [2][4820/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 3.1703 (2.8892)	Prec@1 31.500 (31.832)	Prec@5 58.500 (61.773)
Epoch: [2][4830/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 2.9329 (2.8892)	Prec@1 34.500 (31.834)	Prec@5 61.000 (61.772)
Epoch: [2][4840/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 2.5745 (2.8890)	Prec@1 37.000 (31.838)	Prec@5 63.000 (61.776)
Epoch: [2][4850/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 2.7168 (2.8890)	Prec@1 37.000 (31.841)	Prec@5 64.500 (61.776)
Epoch: [2][4860/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 3.0464 (2.8890)	Prec@1 29.500 (31.841)	Prec@5 58.000 (61.777)
Epoch: [2][4870/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 2.9817 (2.8889)	Prec@1 29.000 (31.841)	Prec@5 63.000 (61.779)
Epoch: [2][4880/9018]	Time 0.597 (0.617)	Data 0.001 (0.001)	Loss 2.8117 (2.8889)	Prec@1 31.500 (31.840)	Prec@5 66.500 (61.779)
Epoch: [2][4890/9018]	Time 0.632 (0.617)	Data 0.001 (0.001)	Loss 2.8901 (2.8888)	Prec@1 30.500 (31.842)	Prec@5 65.000 (61.781)
Epoch: [2][4900/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 2.7259 (2.8888)	Prec@1 34.000 (31.840)	Prec@5 66.000 (61.781)
Epoch: [2][4910/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 2.9533 (2.8887)	Prec@1 30.500 (31.841)	Prec@5 60.000 (61.782)
Epoch: [2][4920/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 2.9036 (2.8888)	Prec@1 31.500 (31.842)	Prec@5 61.500 (61.780)
Epoch: [2][4930/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 2.7828 (2.8889)	Prec@1 33.000 (31.841)	Prec@5 64.500 (61.777)
Epoch: [2][4940/9018]	Time 0.635 (0.617)	Data 0.001 (0.001)	Loss 2.8264 (2.8888)	Prec@1 32.500 (31.841)	Prec@5 61.000 (61.778)
Epoch: [2][4950/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 2.6572 (2.8887)	Prec@1 36.000 (31.842)	Prec@5 64.000 (61.782)
Epoch: [2][4960/9018]	Time 0.624 (0.617)	Data 0.001 (0.001)	Loss 2.7221 (2.8884)	Prec@1 37.000 (31.848)	Prec@5 64.000 (61.783)
Epoch: [2][4970/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 2.7040 (2.8882)	Prec@1 33.000 (31.851)	Prec@5 64.000 (61.789)
Epoch: [2][4980/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 2.9844 (2.8881)	Prec@1 30.500 (31.851)	Prec@5 58.000 (61.790)
Epoch: [2][4990/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 3.0099 (2.8882)	Prec@1 30.500 (31.849)	Prec@5 60.000 (61.788)
Epoch: [2][5000/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.8606 (2.8880)	Prec@1 33.500 (31.854)	Prec@5 60.000 (61.792)
Epoch: [2][5010/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.9387 (2.8880)	Prec@1 30.000 (31.853)	Prec@5 60.000 (61.791)
Epoch: [2][5020/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.8598 (2.8879)	Prec@1 30.000 (31.856)	Prec@5 62.000 (61.796)
Epoch: [2][5030/9018]	Time 0.742 (0.617)	Data 0.001 (0.001)	Loss 2.8901 (2.8879)	Prec@1 30.500 (31.855)	Prec@5 61.000 (61.795)
Epoch: [2][5040/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.7351 (2.8878)	Prec@1 32.000 (31.854)	Prec@5 66.000 (61.794)
Epoch: [2][5050/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.8181 (2.8876)	Prec@1 33.000 (31.856)	Prec@5 65.500 (61.801)
Epoch: [2][5060/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.8078 (2.8875)	Prec@1 28.000 (31.856)	Prec@5 65.500 (61.804)
Epoch: [2][5070/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.9100 (2.8874)	Prec@1 33.000 (31.856)	Prec@5 65.000 (61.806)
Epoch: [2][5080/9018]	Time 0.754 (0.616)	Data 0.001 (0.001)	Loss 2.9627 (2.8874)	Prec@1 31.000 (31.855)	Prec@5 55.000 (61.808)
Epoch: [2][5090/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.7045 (2.8873)	Prec@1 36.500 (31.856)	Prec@5 66.000 (61.810)
Epoch: [2][5100/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 3.1105 (2.8872)	Prec@1 33.500 (31.858)	Prec@5 56.000 (61.812)
Epoch: [2][5110/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.6297 (2.8873)	Prec@1 37.000 (31.858)	Prec@5 67.500 (61.812)
Epoch: [2][5120/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.8008 (2.8871)	Prec@1 28.000 (31.859)	Prec@5 67.000 (61.814)
Epoch: [2][5130/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.8099 (2.8870)	Prec@1 29.000 (31.860)	Prec@5 62.500 (61.816)
Epoch: [2][5140/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 3.1612 (2.8868)	Prec@1 25.500 (31.862)	Prec@5 54.000 (61.821)
Epoch: [2][5150/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.6740 (2.8866)	Prec@1 27.000 (31.867)	Prec@5 63.500 (61.824)
Epoch: [2][5160/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.6267 (2.8864)	Prec@1 39.000 (31.871)	Prec@5 67.000 (61.826)
Epoch: [2][5170/9018]	Time 0.589 (0.616)	Data 0.001 (0.001)	Loss 2.8360 (2.8863)	Prec@1 32.500 (31.873)	Prec@5 64.000 (61.829)
Epoch: [2][5180/9018]	Time 0.637 (0.616)	Data 0.001 (0.001)	Loss 2.9460 (2.8863)	Prec@1 31.000 (31.872)	Prec@5 66.000 (61.829)
Epoch: [2][5190/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 3.0210 (2.8863)	Prec@1 30.000 (31.870)	Prec@5 59.000 (61.829)
Epoch: [2][5200/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.9934 (2.8861)	Prec@1 31.000 (31.874)	Prec@5 58.500 (61.833)
Epoch: [2][5210/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.8569 (2.8860)	Prec@1 31.000 (31.875)	Prec@5 65.500 (61.837)
Epoch: [2][5220/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.9502 (2.8860)	Prec@1 32.500 (31.878)	Prec@5 59.500 (61.836)
Epoch: [2][5230/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.7925 (2.8859)	Prec@1 33.000 (31.881)	Prec@5 66.500 (61.837)
Epoch: [2][5240/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.9113 (2.8858)	Prec@1 31.500 (31.883)	Prec@5 59.500 (61.841)
Epoch: [2][5250/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.7270 (2.8856)	Prec@1 37.500 (31.887)	Prec@5 68.000 (61.844)
Epoch: [2][5260/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.8294 (2.8856)	Prec@1 34.500 (31.886)	Prec@5 64.500 (61.844)
Epoch: [2][5270/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.9749 (2.8856)	Prec@1 29.000 (31.887)	Prec@5 61.500 (61.844)
Epoch: [2][5280/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.5889 (2.8855)	Prec@1 40.500 (31.891)	Prec@5 69.500 (61.846)
Epoch: [2][5290/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.8442 (2.8855)	Prec@1 29.500 (31.891)	Prec@5 59.500 (61.847)
Epoch: [2][5300/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 3.0493 (2.8855)	Prec@1 27.500 (31.892)	Prec@5 57.000 (61.846)
Epoch: [2][5310/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.8455 (2.8854)	Prec@1 37.500 (31.895)	Prec@5 65.000 (61.848)
Epoch: [2][5320/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.9058 (2.8854)	Prec@1 31.000 (31.897)	Prec@5 59.500 (61.848)
Epoch: [2][5330/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.7114 (2.8853)	Prec@1 36.500 (31.898)	Prec@5 67.000 (61.853)
Epoch: [2][5340/9018]	Time 0.635 (0.616)	Data 0.001 (0.001)	Loss 2.7552 (2.8852)	Prec@1 36.500 (31.902)	Prec@5 63.500 (61.856)
Epoch: [2][5350/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.8244 (2.8851)	Prec@1 33.500 (31.906)	Prec@5 63.500 (61.859)
Epoch: [2][5360/9018]	Time 0.757 (0.616)	Data 0.001 (0.001)	Loss 2.9400 (2.8849)	Prec@1 35.000 (31.907)	Prec@5 64.500 (61.863)
Epoch: [2][5370/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.9233 (2.8850)	Prec@1 34.000 (31.906)	Prec@5 58.500 (61.862)
Epoch: [2][5380/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.7745 (2.8848)	Prec@1 37.500 (31.907)	Prec@5 64.000 (61.865)
Epoch: [2][5390/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.7787 (2.8848)	Prec@1 32.500 (31.909)	Prec@5 67.000 (61.866)
Epoch: [2][5400/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.8774 (2.8847)	Prec@1 32.000 (31.907)	Prec@5 66.000 (61.866)
Epoch: [2][5410/9018]	Time 0.736 (0.616)	Data 0.001 (0.001)	Loss 2.7535 (2.8846)	Prec@1 35.000 (31.907)	Prec@5 65.000 (61.871)
Epoch: [2][5420/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.9651 (2.8845)	Prec@1 29.000 (31.909)	Prec@5 61.500 (61.873)
Epoch: [2][5430/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.7397 (2.8844)	Prec@1 32.500 (31.912)	Prec@5 64.500 (61.875)
Epoch: [2][5440/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 3.0629 (2.8843)	Prec@1 29.500 (31.912)	Prec@5 57.500 (61.877)
Epoch: [2][5450/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.7766 (2.8841)	Prec@1 30.500 (31.913)	Prec@5 65.000 (61.881)
Epoch: [2][5460/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 3.0255 (2.8842)	Prec@1 29.000 (31.914)	Prec@5 60.500 (61.879)
Epoch: [2][5470/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.8220 (2.8841)	Prec@1 33.000 (31.918)	Prec@5 64.500 (61.884)
Epoch: [2][5480/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.8503 (2.8841)	Prec@1 31.500 (31.918)	Prec@5 61.500 (61.883)
Epoch: [2][5490/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 3.0043 (2.8842)	Prec@1 29.000 (31.915)	Prec@5 60.500 (61.882)
Epoch: [2][5500/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.9027 (2.8841)	Prec@1 32.500 (31.916)	Prec@5 69.000 (61.885)
Epoch: [2][5510/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.8139 (2.8840)	Prec@1 35.500 (31.917)	Prec@5 62.000 (61.886)
Epoch: [2][5520/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.9048 (2.8840)	Prec@1 33.500 (31.917)	Prec@5 63.000 (61.887)
Epoch: [2][5530/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.9534 (2.8838)	Prec@1 28.500 (31.921)	Prec@5 60.500 (61.890)
Epoch: [2][5540/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.8523 (2.8837)	Prec@1 33.000 (31.922)	Prec@5 60.500 (61.892)
Epoch: [2][5550/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 3.1066 (2.8837)	Prec@1 29.000 (31.923)	Prec@5 56.000 (61.892)
Epoch: [2][5560/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.7811 (2.8835)	Prec@1 33.000 (31.929)	Prec@5 65.000 (61.896)
Epoch: [2][5570/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.8870 (2.8835)	Prec@1 27.000 (31.926)	Prec@5 63.500 (61.897)
Epoch: [2][5580/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.8454 (2.8834)	Prec@1 35.500 (31.927)	Prec@5 63.000 (61.898)
Epoch: [2][5590/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.8347 (2.8832)	Prec@1 34.500 (31.933)	Prec@5 64.500 (61.903)
Epoch: [2][5600/9018]	Time 0.588 (0.616)	Data 0.001 (0.001)	Loss 2.9369 (2.8833)	Prec@1 31.500 (31.931)	Prec@5 61.500 (61.903)
Epoch: [2][5610/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.7092 (2.8832)	Prec@1 33.000 (31.932)	Prec@5 69.500 (61.906)
Epoch: [2][5620/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 3.0687 (2.8833)	Prec@1 26.500 (31.932)	Prec@5 57.500 (61.906)
Epoch: [2][5630/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.9489 (2.8832)	Prec@1 31.500 (31.935)	Prec@5 59.000 (61.907)
Epoch: [2][5640/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.9100 (2.8832)	Prec@1 29.500 (31.934)	Prec@5 60.500 (61.906)
Epoch: [2][5650/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.7488 (2.8832)	Prec@1 30.500 (31.933)	Prec@5 65.500 (61.905)
Epoch: [2][5660/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 3.0124 (2.8830)	Prec@1 31.500 (31.938)	Prec@5 59.500 (61.908)
Epoch: [2][5670/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.8645 (2.8830)	Prec@1 35.000 (31.940)	Prec@5 61.000 (61.910)
Epoch: [2][5680/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.7678 (2.8829)	Prec@1 33.500 (31.941)	Prec@5 63.000 (61.911)
Epoch: [2][5690/9018]	Time 0.741 (0.616)	Data 0.001 (0.001)	Loss 2.7609 (2.8828)	Prec@1 33.500 (31.947)	Prec@5 61.500 (61.915)
Epoch: [2][5700/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.6535 (2.8826)	Prec@1 35.500 (31.952)	Prec@5 66.000 (61.916)
Epoch: [2][5710/9018]	Time 0.589 (0.616)	Data 0.001 (0.001)	Loss 2.8069 (2.8825)	Prec@1 28.500 (31.953)	Prec@5 63.500 (61.916)
Epoch: [2][5720/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.6844 (2.8824)	Prec@1 38.000 (31.954)	Prec@5 64.000 (61.918)
Epoch: [2][5730/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.6970 (2.8824)	Prec@1 32.500 (31.956)	Prec@5 66.500 (61.922)
Epoch: [2][5740/9018]	Time 0.733 (0.616)	Data 0.001 (0.001)	Loss 2.8384 (2.8823)	Prec@1 31.500 (31.955)	Prec@5 65.000 (61.922)
Epoch: [2][5750/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.9304 (2.8823)	Prec@1 31.000 (31.958)	Prec@5 64.000 (61.924)
Epoch: [2][5760/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.8138 (2.8821)	Prec@1 34.500 (31.959)	Prec@5 64.500 (61.926)
Epoch: [2][5770/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.8352 (2.8821)	Prec@1 38.000 (31.960)	Prec@5 60.000 (61.926)
Epoch: [2][5780/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.8571 (2.8820)	Prec@1 33.000 (31.963)	Prec@5 60.000 (61.927)
Epoch: [2][5790/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.9489 (2.8821)	Prec@1 33.500 (31.961)	Prec@5 60.500 (61.926)
Epoch: [2][5800/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 3.0722 (2.8821)	Prec@1 27.500 (31.961)	Prec@5 58.500 (61.926)
Epoch: [2][5810/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.7144 (2.8820)	Prec@1 34.000 (31.961)	Prec@5 65.500 (61.928)
Epoch: [2][5820/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.9915 (2.8819)	Prec@1 29.000 (31.963)	Prec@5 61.000 (61.931)
Epoch: [2][5830/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.9907 (2.8819)	Prec@1 25.500 (31.962)	Prec@5 63.000 (61.932)
Epoch: [2][5840/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 3.1304 (2.8818)	Prec@1 30.500 (31.963)	Prec@5 58.000 (61.934)
Epoch: [2][5850/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.7533 (2.8817)	Prec@1 33.000 (31.966)	Prec@5 67.000 (61.937)
Epoch: [2][5860/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 3.0033 (2.8817)	Prec@1 29.500 (31.965)	Prec@5 55.500 (61.936)
Epoch: [2][5870/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.8409 (2.8816)	Prec@1 32.500 (31.965)	Prec@5 64.500 (61.938)
Epoch: [2][5880/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.8378 (2.8815)	Prec@1 34.500 (31.967)	Prec@5 59.500 (61.938)
Epoch: [2][5890/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.9559 (2.8815)	Prec@1 26.500 (31.965)	Prec@5 62.000 (61.938)
Epoch: [2][5900/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.7546 (2.8814)	Prec@1 30.000 (31.967)	Prec@5 64.500 (61.938)
Epoch: [2][5910/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 3.3376 (2.8814)	Prec@1 26.000 (31.966)	Prec@5 50.000 (61.939)
Epoch: [2][5920/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.7338 (2.8814)	Prec@1 35.500 (31.967)	Prec@5 65.500 (61.942)
Epoch: [2][5930/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.7194 (2.8813)	Prec@1 36.000 (31.967)	Prec@5 64.000 (61.944)
Epoch: [2][5940/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.8869 (2.8813)	Prec@1 37.500 (31.969)	Prec@5 63.500 (61.944)
Epoch: [2][5950/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.7500 (2.8811)	Prec@1 40.500 (31.975)	Prec@5 61.000 (61.947)
Epoch: [2][5960/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.5534 (2.8810)	Prec@1 41.500 (31.978)	Prec@5 71.500 (61.949)
Epoch: [2][5970/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.9108 (2.8810)	Prec@1 31.000 (31.980)	Prec@5 64.000 (61.950)
Epoch: [2][5980/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.9246 (2.8810)	Prec@1 32.500 (31.980)	Prec@5 60.500 (61.949)
Epoch: [2][5990/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.7967 (2.8810)	Prec@1 34.000 (31.980)	Prec@5 63.500 (61.949)
Epoch: [2][6000/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.8993 (2.8808)	Prec@1 32.500 (31.981)	Prec@5 59.500 (61.951)
Epoch: [2][6010/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.9126 (2.8808)	Prec@1 28.000 (31.981)	Prec@5 61.500 (61.951)
Epoch: [2][6020/9018]	Time 0.713 (0.616)	Data 0.001 (0.001)	Loss 2.7734 (2.8808)	Prec@1 35.500 (31.983)	Prec@5 62.000 (61.951)
Epoch: [2][6030/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.8754 (2.8807)	Prec@1 35.500 (31.984)	Prec@5 63.500 (61.952)
Epoch: [2][6040/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.6294 (2.8807)	Prec@1 35.500 (31.981)	Prec@5 67.000 (61.950)
Epoch: [2][6050/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 3.0037 (2.8806)	Prec@1 26.500 (31.983)	Prec@5 59.000 (61.950)
Epoch: [2][6060/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.9351 (2.8806)	Prec@1 29.500 (31.982)	Prec@5 60.000 (61.949)
Epoch: [2][6070/9018]	Time 0.722 (0.616)	Data 0.001 (0.001)	Loss 2.7919 (2.8806)	Prec@1 33.500 (31.983)	Prec@5 60.500 (61.949)
Epoch: [2][6080/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 3.0246 (2.8806)	Prec@1 31.000 (31.984)	Prec@5 61.000 (61.950)
Epoch: [2][6090/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.7554 (2.8804)	Prec@1 35.000 (31.986)	Prec@5 62.000 (61.954)
Epoch: [2][6100/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.9680 (2.8803)	Prec@1 30.000 (31.989)	Prec@5 61.000 (61.955)
Epoch: [2][6110/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.9270 (2.8804)	Prec@1 29.500 (31.987)	Prec@5 61.000 (61.953)
Epoch: [2][6120/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.8178 (2.8804)	Prec@1 36.000 (31.988)	Prec@5 64.500 (61.953)
Epoch: [2][6130/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.6278 (2.8804)	Prec@1 35.000 (31.987)	Prec@5 65.500 (61.953)
Epoch: [2][6140/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.7168 (2.8803)	Prec@1 39.000 (31.990)	Prec@5 65.500 (61.953)
Epoch: [2][6150/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.7327 (2.8804)	Prec@1 36.500 (31.989)	Prec@5 64.500 (61.950)
Epoch: [2][6160/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.9080 (2.8804)	Prec@1 33.500 (31.988)	Prec@5 61.500 (61.952)
Epoch: [2][6170/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.7288 (2.8803)	Prec@1 31.000 (31.991)	Prec@5 65.500 (61.955)
Epoch: [2][6180/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.9365 (2.8803)	Prec@1 32.000 (31.993)	Prec@5 64.500 (61.956)
Epoch: [2][6190/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.7830 (2.8802)	Prec@1 36.000 (31.994)	Prec@5 63.500 (61.959)
Epoch: [2][6200/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.5417 (2.8801)	Prec@1 34.000 (31.994)	Prec@5 69.500 (61.962)
Epoch: [2][6210/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5426 (2.8800)	Prec@1 35.500 (31.994)	Prec@5 68.500 (61.964)
Epoch: [2][6220/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.8491 (2.8799)	Prec@1 33.000 (31.997)	Prec@5 63.000 (61.967)
Epoch: [2][6230/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 3.0210 (2.8799)	Prec@1 29.000 (31.995)	Prec@5 55.500 (61.966)
Epoch: [2][6240/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.9988 (2.8798)	Prec@1 27.000 (31.994)	Prec@5 62.500 (61.966)
Epoch: [2][6250/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.9940 (2.8799)	Prec@1 30.000 (31.993)	Prec@5 60.500 (61.964)
Epoch: [2][6260/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.7902 (2.8799)	Prec@1 34.000 (31.994)	Prec@5 62.000 (61.965)
Epoch: [2][6270/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.8089 (2.8799)	Prec@1 33.500 (31.995)	Prec@5 63.000 (61.964)
Epoch: [2][6280/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.5671 (2.8798)	Prec@1 38.500 (31.999)	Prec@5 66.000 (61.965)
Epoch: [2][6290/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 3.0059 (2.8797)	Prec@1 27.000 (31.999)	Prec@5 57.500 (61.965)
Epoch: [2][6300/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.9085 (2.8796)	Prec@1 36.500 (32.003)	Prec@5 60.000 (61.967)
Epoch: [2][6310/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.9457 (2.8795)	Prec@1 32.500 (32.004)	Prec@5 62.500 (61.968)
Epoch: [2][6320/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.7266 (2.8795)	Prec@1 34.000 (32.005)	Prec@5 64.000 (61.968)
Epoch: [2][6330/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.6313 (2.8793)	Prec@1 35.500 (32.007)	Prec@5 67.000 (61.969)
Epoch: [2][6340/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6441 (2.8793)	Prec@1 39.000 (32.009)	Prec@5 67.000 (61.969)
Epoch: [2][6350/9018]	Time 0.744 (0.616)	Data 0.001 (0.001)	Loss 2.8423 (2.8791)	Prec@1 34.500 (32.013)	Prec@5 59.500 (61.971)
Epoch: [2][6360/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.7752 (2.8790)	Prec@1 32.500 (32.014)	Prec@5 68.000 (61.975)
Epoch: [2][6370/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.7572 (2.8789)	Prec@1 27.500 (32.016)	Prec@5 66.500 (61.977)
Epoch: [2][6380/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.9019 (2.8789)	Prec@1 29.500 (32.016)	Prec@5 57.500 (61.975)
Epoch: [2][6390/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.6933 (2.8789)	Prec@1 32.000 (32.018)	Prec@5 67.500 (61.977)
Epoch: [2][6400/9018]	Time 0.749 (0.616)	Data 0.001 (0.001)	Loss 2.5669 (2.8787)	Prec@1 34.500 (32.018)	Prec@5 65.500 (61.980)
Epoch: [2][6410/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.7433 (2.8787)	Prec@1 36.500 (32.020)	Prec@5 65.500 (61.981)
Epoch: [2][6420/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.7890 (2.8786)	Prec@1 32.500 (32.020)	Prec@5 64.000 (61.983)
Epoch: [2][6430/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.7596 (2.8786)	Prec@1 34.500 (32.024)	Prec@5 63.500 (61.984)
Epoch: [2][6440/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.5698 (2.8784)	Prec@1 36.000 (32.027)	Prec@5 64.500 (61.984)
Epoch: [2][6450/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.9029 (2.8785)	Prec@1 28.500 (32.028)	Prec@5 56.500 (61.981)
Epoch: [2][6460/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6876 (2.8784)	Prec@1 34.500 (32.027)	Prec@5 68.500 (61.983)
Epoch: [2][6470/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.9716 (2.8784)	Prec@1 26.000 (32.026)	Prec@5 61.000 (61.983)
Epoch: [2][6480/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.7552 (2.8783)	Prec@1 32.000 (32.027)	Prec@5 64.500 (61.985)
Epoch: [2][6490/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.8790 (2.8783)	Prec@1 31.500 (32.027)	Prec@5 62.500 (61.986)
Epoch: [2][6500/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.8361 (2.8782)	Prec@1 32.500 (32.030)	Prec@5 65.000 (61.988)
Epoch: [2][6510/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.7732 (2.8782)	Prec@1 33.000 (32.029)	Prec@5 65.000 (61.988)
Epoch: [2][6520/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 3.0603 (2.8781)	Prec@1 30.500 (32.030)	Prec@5 57.000 (61.989)
Epoch: [2][6530/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.8278 (2.8781)	Prec@1 32.000 (32.032)	Prec@5 66.500 (61.989)
Epoch: [2][6540/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.7132 (2.8780)	Prec@1 35.500 (32.035)	Prec@5 64.500 (61.989)
Epoch: [2][6550/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.7110 (2.8780)	Prec@1 36.500 (32.036)	Prec@5 67.500 (61.987)
Epoch: [2][6560/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 3.2008 (2.8780)	Prec@1 27.000 (32.037)	Prec@5 57.500 (61.988)
Epoch: [2][6570/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.8187 (2.8779)	Prec@1 36.500 (32.041)	Prec@5 63.500 (61.990)
Epoch: [2][6580/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.7966 (2.8777)	Prec@1 34.000 (32.043)	Prec@5 61.000 (61.992)
Epoch: [2][6590/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.5633 (2.8775)	Prec@1 35.500 (32.047)	Prec@5 65.000 (61.996)
Epoch: [2][6600/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6894 (2.8775)	Prec@1 32.500 (32.049)	Prec@5 64.000 (61.995)
Epoch: [2][6610/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.9436 (2.8775)	Prec@1 29.000 (32.049)	Prec@5 62.500 (61.997)
Epoch: [2][6620/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.6611 (2.8774)	Prec@1 35.500 (32.051)	Prec@5 67.000 (61.998)
Epoch: [2][6630/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6259 (2.8773)	Prec@1 33.000 (32.051)	Prec@5 68.000 (62.001)
Epoch: [2][6640/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.8450 (2.8773)	Prec@1 33.000 (32.050)	Prec@5 60.000 (62.001)
Epoch: [2][6650/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.9533 (2.8773)	Prec@1 34.000 (32.050)	Prec@5 60.000 (62.001)
Epoch: [2][6660/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.8352 (2.8772)	Prec@1 28.500 (32.052)	Prec@5 61.000 (62.001)
Epoch: [2][6670/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.8477 (2.8771)	Prec@1 29.000 (32.052)	Prec@5 66.500 (62.004)
Epoch: [2][6680/9018]	Time 0.751 (0.616)	Data 0.001 (0.001)	Loss 2.8441 (2.8770)	Prec@1 33.000 (32.052)	Prec@5 61.500 (62.004)
Epoch: [2][6690/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.7738 (2.8770)	Prec@1 33.500 (32.055)	Prec@5 64.500 (62.006)
Epoch: [2][6700/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 3.0044 (2.8769)	Prec@1 28.000 (32.055)	Prec@5 59.000 (62.007)
Epoch: [2][6710/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.6246 (2.8768)	Prec@1 39.000 (32.059)	Prec@5 70.000 (62.010)
Epoch: [2][6720/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 3.0676 (2.8767)	Prec@1 30.500 (32.061)	Prec@5 56.500 (62.011)
Epoch: [2][6730/9018]	Time 0.714 (0.616)	Data 0.001 (0.001)	Loss 2.9415 (2.8767)	Prec@1 28.500 (32.060)	Prec@5 58.500 (62.011)
Epoch: [2][6740/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 3.1517 (2.8767)	Prec@1 29.500 (32.061)	Prec@5 54.000 (62.012)
Epoch: [2][6750/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.8166 (2.8769)	Prec@1 34.000 (32.059)	Prec@5 64.000 (62.011)
Epoch: [2][6760/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.7586 (2.8768)	Prec@1 31.000 (32.060)	Prec@5 68.000 (62.014)
Epoch: [2][6770/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 3.0436 (2.8767)	Prec@1 29.000 (32.060)	Prec@5 57.500 (62.015)
Epoch: [2][6780/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.7160 (2.8767)	Prec@1 35.000 (32.062)	Prec@5 63.500 (62.014)
Epoch: [2][6790/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.7822 (2.8765)	Prec@1 35.500 (32.064)	Prec@5 62.000 (62.017)
Epoch: [2][6800/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.7808 (2.8764)	Prec@1 31.000 (32.066)	Prec@5 64.500 (62.019)
Epoch: [2][6810/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.7065 (2.8764)	Prec@1 35.000 (32.065)	Prec@5 66.000 (62.021)
Epoch: [2][6820/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 3.0288 (2.8764)	Prec@1 34.000 (32.066)	Prec@5 59.000 (62.023)
Epoch: [2][6830/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 3.0571 (2.8763)	Prec@1 26.000 (32.067)	Prec@5 55.500 (62.023)
Epoch: [2][6840/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.7931 (2.8763)	Prec@1 32.500 (32.069)	Prec@5 62.000 (62.024)
Epoch: [2][6850/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.9612 (2.8762)	Prec@1 34.000 (32.069)	Prec@5 58.000 (62.024)
Epoch: [2][6860/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.6260 (2.8762)	Prec@1 34.500 (32.069)	Prec@5 66.000 (62.025)
Epoch: [2][6870/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.7417 (2.8761)	Prec@1 34.500 (32.072)	Prec@5 64.000 (62.026)
Epoch: [2][6880/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.8899 (2.8760)	Prec@1 33.000 (32.072)	Prec@5 61.000 (62.031)
Epoch: [2][6890/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.6068 (2.8759)	Prec@1 35.000 (32.074)	Prec@5 69.500 (62.034)
Epoch: [2][6900/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.7513 (2.8758)	Prec@1 37.500 (32.075)	Prec@5 64.000 (62.034)
Epoch: [2][6910/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.9113 (2.8757)	Prec@1 32.000 (32.076)	Prec@5 62.000 (62.034)
Epoch: [2][6920/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.7208 (2.8756)	Prec@1 31.500 (32.078)	Prec@5 65.500 (62.036)
Epoch: [2][6930/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.8835 (2.8755)	Prec@1 33.000 (32.079)	Prec@5 64.000 (62.036)
Epoch: [2][6940/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.9700 (2.8754)	Prec@1 33.000 (32.081)	Prec@5 60.500 (62.039)
Epoch: [2][6950/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.8255 (2.8753)	Prec@1 31.000 (32.082)	Prec@5 60.500 (62.040)
Epoch: [2][6960/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.6449 (2.8753)	Prec@1 34.500 (32.083)	Prec@5 69.500 (62.041)
Epoch: [2][6970/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.6455 (2.8752)	Prec@1 32.000 (32.085)	Prec@5 70.000 (62.044)
Epoch: [2][6980/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.8295 (2.8750)	Prec@1 35.500 (32.089)	Prec@5 64.000 (62.047)
Epoch: [2][6990/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.8365 (2.8749)	Prec@1 31.500 (32.090)	Prec@5 63.000 (62.048)
Epoch: [2][7000/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.9495 (2.8749)	Prec@1 33.000 (32.091)	Prec@5 60.500 (62.050)
Epoch: [2][7010/9018]	Time 0.734 (0.616)	Data 0.001 (0.001)	Loss 2.9510 (2.8748)	Prec@1 31.000 (32.095)	Prec@5 58.000 (62.051)
Epoch: [2][7020/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6749 (2.8747)	Prec@1 35.000 (32.096)	Prec@5 67.000 (62.055)
Epoch: [2][7030/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.8024 (2.8745)	Prec@1 36.000 (32.098)	Prec@5 62.500 (62.058)
Epoch: [2][7040/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.7671 (2.8744)	Prec@1 39.500 (32.101)	Prec@5 63.000 (62.061)
Epoch: [2][7050/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 3.0877 (2.8746)	Prec@1 27.000 (32.098)	Prec@5 57.500 (62.057)
Epoch: [2][7060/9018]	Time 0.727 (0.616)	Data 0.001 (0.001)	Loss 2.9699 (2.8745)	Prec@1 27.500 (32.099)	Prec@5 62.500 (62.058)
Epoch: [2][7070/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.7195 (2.8744)	Prec@1 36.500 (32.101)	Prec@5 68.000 (62.061)
Epoch: [2][7080/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.7964 (2.8744)	Prec@1 36.000 (32.102)	Prec@5 66.000 (62.062)
Epoch: [2][7090/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.9358 (2.8743)	Prec@1 28.000 (32.102)	Prec@5 62.000 (62.064)
Epoch: [2][7100/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.9773 (2.8743)	Prec@1 32.000 (32.100)	Prec@5 59.500 (62.065)
Epoch: [2][7110/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.7023 (2.8742)	Prec@1 36.000 (32.103)	Prec@5 67.000 (62.067)
Epoch: [2][7120/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.8460 (2.8742)	Prec@1 34.500 (32.100)	Prec@5 63.000 (62.065)
Epoch: [2][7130/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.8254 (2.8742)	Prec@1 32.500 (32.102)	Prec@5 65.500 (62.068)
Epoch: [2][7140/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.8923 (2.8742)	Prec@1 32.500 (32.102)	Prec@5 63.000 (62.067)
Epoch: [2][7150/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6934 (2.8740)	Prec@1 31.000 (32.105)	Prec@5 66.000 (62.071)
Epoch: [2][7160/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.7077 (2.8739)	Prec@1 32.500 (32.105)	Prec@5 66.000 (62.073)
Epoch: [2][7170/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.8851 (2.8738)	Prec@1 27.500 (32.106)	Prec@5 64.000 (62.077)
Epoch: [2][7180/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.7613 (2.8738)	Prec@1 38.500 (32.108)	Prec@5 64.000 (62.077)
Epoch: [2][7190/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.8109 (2.8737)	Prec@1 28.500 (32.107)	Prec@5 62.000 (62.079)
Epoch: [2][7200/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.9102 (2.8737)	Prec@1 33.500 (32.108)	Prec@5 60.000 (62.079)
Epoch: [2][7210/9018]	Time 0.611 (0.616)	Data 0.003 (0.001)	Loss 2.9495 (2.8736)	Prec@1 35.000 (32.110)	Prec@5 63.000 (62.082)
Epoch: [2][7220/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.9895 (2.8736)	Prec@1 30.000 (32.110)	Prec@5 59.000 (62.080)
Epoch: [2][7230/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 3.0038 (2.8735)	Prec@1 29.000 (32.111)	Prec@5 61.000 (62.084)
Epoch: [2][7240/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.7622 (2.8735)	Prec@1 35.000 (32.113)	Prec@5 64.500 (62.084)
Epoch: [2][7250/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.7257 (2.8733)	Prec@1 30.500 (32.115)	Prec@5 68.500 (62.087)
Epoch: [2][7260/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.9489 (2.8734)	Prec@1 33.500 (32.115)	Prec@5 59.000 (62.087)
Epoch: [2][7270/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.7699 (2.8734)	Prec@1 28.500 (32.115)	Prec@5 67.000 (62.087)
Epoch: [2][7280/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 3.0862 (2.8734)	Prec@1 29.500 (32.114)	Prec@5 57.000 (62.086)
Epoch: [2][7290/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.7075 (2.8732)	Prec@1 38.000 (32.116)	Prec@5 66.000 (62.088)
Epoch: [2][7300/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.9350 (2.8732)	Prec@1 32.500 (32.116)	Prec@5 61.500 (62.090)
Epoch: [2][7310/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.7623 (2.8731)	Prec@1 29.500 (32.117)	Prec@5 62.500 (62.091)
Epoch: [2][7320/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.6843 (2.8730)	Prec@1 38.000 (32.117)	Prec@5 70.000 (62.094)
Epoch: [2][7330/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.9161 (2.8730)	Prec@1 33.500 (32.118)	Prec@5 64.500 (62.094)
Epoch: [2][7340/9018]	Time 0.735 (0.616)	Data 0.001 (0.001)	Loss 2.6553 (2.8728)	Prec@1 32.000 (32.120)	Prec@5 65.000 (62.096)
Epoch: [2][7350/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.6384 (2.8728)	Prec@1 38.000 (32.122)	Prec@5 63.000 (62.098)
Epoch: [2][7360/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.8708 (2.8726)	Prec@1 29.500 (32.124)	Prec@5 61.500 (62.101)
Epoch: [2][7370/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.7303 (2.8727)	Prec@1 33.000 (32.123)	Prec@5 63.500 (62.100)
Epoch: [2][7380/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.8883 (2.8727)	Prec@1 33.500 (32.123)	Prec@5 60.500 (62.101)
Epoch: [2][7390/9018]	Time 0.748 (0.616)	Data 0.001 (0.001)	Loss 2.7080 (2.8726)	Prec@1 35.500 (32.122)	Prec@5 68.000 (62.102)
Epoch: [2][7400/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 3.1010 (2.8726)	Prec@1 25.500 (32.123)	Prec@5 58.500 (62.102)
Epoch: [2][7410/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.7021 (2.8724)	Prec@1 37.500 (32.127)	Prec@5 66.000 (62.106)
Epoch: [2][7420/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.7857 (2.8724)	Prec@1 35.000 (32.125)	Prec@5 60.500 (62.105)
Epoch: [2][7430/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.8270 (2.8723)	Prec@1 33.000 (32.126)	Prec@5 59.500 (62.106)
Epoch: [2][7440/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.9976 (2.8723)	Prec@1 32.000 (32.128)	Prec@5 58.000 (62.105)
Epoch: [2][7450/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 3.0051 (2.8723)	Prec@1 29.500 (32.127)	Prec@5 58.000 (62.105)
Epoch: [2][7460/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.7887 (2.8723)	Prec@1 37.000 (32.128)	Prec@5 63.000 (62.106)
Epoch: [2][7470/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6821 (2.8721)	Prec@1 35.000 (32.131)	Prec@5 63.000 (62.109)
Epoch: [2][7480/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.9424 (2.8720)	Prec@1 32.500 (32.132)	Prec@5 65.000 (62.112)
Epoch: [2][7490/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.8847 (2.8720)	Prec@1 29.500 (32.133)	Prec@5 60.500 (62.113)
Epoch: [2][7500/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.8230 (2.8720)	Prec@1 31.500 (32.134)	Prec@5 63.500 (62.113)
Epoch: [2][7510/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.7918 (2.8718)	Prec@1 34.500 (32.136)	Prec@5 65.000 (62.117)
Epoch: [2][7520/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6170 (2.8717)	Prec@1 41.500 (32.138)	Prec@5 65.500 (62.118)
Epoch: [2][7530/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.9980 (2.8717)	Prec@1 28.500 (32.138)	Prec@5 62.500 (62.118)
Epoch: [2][7540/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 3.0954 (2.8718)	Prec@1 28.500 (32.136)	Prec@5 58.000 (62.120)
Epoch: [2][7550/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.8832 (2.8718)	Prec@1 29.500 (32.135)	Prec@5 62.500 (62.119)
Epoch: [2][7560/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.8698 (2.8717)	Prec@1 31.500 (32.136)	Prec@5 64.500 (62.121)
Epoch: [2][7570/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.8043 (2.8717)	Prec@1 36.500 (32.139)	Prec@5 66.500 (62.122)
Epoch: [2][7580/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.6442 (2.8717)	Prec@1 34.000 (32.138)	Prec@5 65.500 (62.125)
Epoch: [2][7590/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.6686 (2.8716)	Prec@1 36.000 (32.140)	Prec@5 69.500 (62.127)
Epoch: [2][7600/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.9489 (2.8714)	Prec@1 29.000 (32.140)	Prec@5 63.500 (62.129)
Epoch: [2][7610/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.7363 (2.8713)	Prec@1 38.000 (32.141)	Prec@5 66.500 (62.132)
Epoch: [2][7620/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.7919 (2.8712)	Prec@1 33.500 (32.142)	Prec@5 61.000 (62.133)
Epoch: [2][7630/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.7574 (2.8711)	Prec@1 32.500 (32.145)	Prec@5 64.000 (62.137)
Epoch: [2][7640/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.8622 (2.8710)	Prec@1 29.000 (32.148)	Prec@5 63.500 (62.140)
Epoch: [2][7650/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.7682 (2.8708)	Prec@1 36.500 (32.151)	Prec@5 62.500 (62.143)
Epoch: [2][7660/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.5722 (2.8706)	Prec@1 37.000 (32.154)	Prec@5 70.000 (62.147)
Epoch: [2][7670/9018]	Time 0.729 (0.616)	Data 0.001 (0.001)	Loss 2.8048 (2.8705)	Prec@1 32.000 (32.154)	Prec@5 61.500 (62.148)
Epoch: [2][7680/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.8880 (2.8705)	Prec@1 31.500 (32.154)	Prec@5 66.500 (62.149)
Epoch: [2][7690/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.4991 (2.8704)	Prec@1 41.000 (32.156)	Prec@5 70.000 (62.150)
Epoch: [2][7700/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.7123 (2.8703)	Prec@1 32.000 (32.156)	Prec@5 66.500 (62.151)
Epoch: [2][7710/9018]	Time 0.604 (0.616)	Data 0.002 (0.001)	Loss 2.9672 (2.8702)	Prec@1 29.500 (32.158)	Prec@5 59.000 (62.154)
Epoch: [2][7720/9018]	Time 0.739 (0.616)	Data 0.001 (0.001)	Loss 2.8235 (2.8702)	Prec@1 32.500 (32.160)	Prec@5 63.500 (62.153)
Epoch: [2][7730/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.8656 (2.8702)	Prec@1 27.000 (32.162)	Prec@5 63.000 (62.154)
Epoch: [2][7740/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 3.0816 (2.8701)	Prec@1 29.500 (32.162)	Prec@5 60.000 (62.157)
Epoch: [2][7750/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.8986 (2.8701)	Prec@1 32.000 (32.163)	Prec@5 57.000 (62.157)
Epoch: [2][7760/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.8518 (2.8700)	Prec@1 34.000 (32.164)	Prec@5 63.000 (62.157)
Epoch: [2][7770/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.8260 (2.8700)	Prec@1 31.000 (32.163)	Prec@5 64.000 (62.159)
Epoch: [2][7780/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 3.0392 (2.8700)	Prec@1 35.000 (32.163)	Prec@5 59.000 (62.158)
Epoch: [2][7790/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.9979 (2.8699)	Prec@1 32.500 (32.162)	Prec@5 61.000 (62.159)
Epoch: [2][7800/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.8582 (2.8699)	Prec@1 32.500 (32.163)	Prec@5 67.500 (62.161)
Epoch: [2][7810/9018]	Time 0.603 (0.616)	Data 0.002 (0.001)	Loss 2.4801 (2.8698)	Prec@1 37.500 (32.164)	Prec@5 71.500 (62.162)
Epoch: [2][7820/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.5128 (2.8697)	Prec@1 40.500 (32.166)	Prec@5 71.500 (62.164)
Epoch: [2][7830/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.8908 (2.8696)	Prec@1 28.000 (32.166)	Prec@5 61.500 (62.168)
Epoch: [2][7840/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 3.1052 (2.8696)	Prec@1 27.000 (32.166)	Prec@5 60.000 (62.167)
Epoch: [2][7850/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.6552 (2.8697)	Prec@1 36.500 (32.166)	Prec@5 70.000 (62.166)
Epoch: [2][7860/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.9912 (2.8696)	Prec@1 31.000 (32.167)	Prec@5 59.500 (62.167)
Epoch: [2][7870/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.8845 (2.8695)	Prec@1 29.500 (32.169)	Prec@5 60.000 (62.166)
Epoch: [2][7880/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.7486 (2.8695)	Prec@1 38.500 (32.170)	Prec@5 64.500 (62.164)
Epoch: [2][7890/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.5957 (2.8694)	Prec@1 37.000 (32.173)	Prec@5 68.000 (62.167)
Epoch: [2][7900/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.8635 (2.8693)	Prec@1 28.000 (32.174)	Prec@5 59.500 (62.168)
Epoch: [2][7910/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.8728 (2.8692)	Prec@1 31.000 (32.179)	Prec@5 59.000 (62.171)
Epoch: [2][7920/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.7386 (2.8691)	Prec@1 32.000 (32.179)	Prec@5 64.000 (62.172)
Epoch: [2][7930/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.8575 (2.8691)	Prec@1 35.500 (32.180)	Prec@5 62.500 (62.171)
Epoch: [2][7940/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.7664 (2.8691)	Prec@1 36.000 (32.181)	Prec@5 61.000 (62.170)
Epoch: [2][7950/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.8109 (2.8690)	Prec@1 33.000 (32.183)	Prec@5 63.500 (62.170)
Epoch: [2][7960/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.9372 (2.8690)	Prec@1 28.500 (32.184)	Prec@5 60.000 (62.169)
Epoch: [2][7970/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.6464 (2.8690)	Prec@1 29.500 (32.182)	Prec@5 67.000 (62.171)
Epoch: [2][7980/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.4531 (2.8689)	Prec@1 35.500 (32.183)	Prec@5 76.000 (62.174)
Epoch: [2][7990/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.8637 (2.8689)	Prec@1 33.000 (32.183)	Prec@5 60.500 (62.174)
Epoch: [2][8000/9018]	Time 0.745 (0.616)	Data 0.001 (0.001)	Loss 2.8652 (2.8688)	Prec@1 33.500 (32.184)	Prec@5 61.500 (62.176)
Epoch: [2][8010/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.9686 (2.8688)	Prec@1 29.500 (32.184)	Prec@5 61.500 (62.175)
Epoch: [2][8020/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.8635 (2.8687)	Prec@1 34.500 (32.185)	Prec@5 62.500 (62.176)
Epoch: [2][8030/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.7466 (2.8687)	Prec@1 36.500 (32.186)	Prec@5 61.500 (62.177)
Epoch: [2][8040/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.6950 (2.8686)	Prec@1 33.500 (32.188)	Prec@5 66.000 (62.179)
Epoch: [2][8050/9018]	Time 0.730 (0.616)	Data 0.001 (0.001)	Loss 2.6737 (2.8685)	Prec@1 36.000 (32.189)	Prec@5 68.500 (62.181)
Epoch: [2][8060/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 3.0000 (2.8685)	Prec@1 31.500 (32.188)	Prec@5 55.500 (62.180)
Epoch: [2][8070/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.7571 (2.8685)	Prec@1 35.000 (32.188)	Prec@5 64.000 (62.180)
Epoch: [2][8080/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.7069 (2.8683)	Prec@1 33.000 (32.191)	Prec@5 66.000 (62.183)
Epoch: [2][8090/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.7306 (2.8682)	Prec@1 34.500 (32.193)	Prec@5 65.000 (62.184)
Epoch: [2][8100/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.8250 (2.8682)	Prec@1 32.000 (32.196)	Prec@5 64.000 (62.184)
Epoch: [2][8110/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.7518 (2.8681)	Prec@1 36.000 (32.198)	Prec@5 62.000 (62.184)
Epoch: [2][8120/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.7104 (2.8682)	Prec@1 35.000 (32.198)	Prec@5 67.000 (62.184)
Epoch: [2][8130/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.7749 (2.8680)	Prec@1 33.500 (32.202)	Prec@5 62.500 (62.186)
Epoch: [2][8140/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.6956 (2.8680)	Prec@1 36.500 (32.203)	Prec@5 66.500 (62.186)
Epoch: [2][8150/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.8057 (2.8680)	Prec@1 28.000 (32.203)	Prec@5 64.500 (62.187)
Epoch: [2][8160/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.6202 (2.8680)	Prec@1 38.500 (32.204)	Prec@5 69.000 (62.187)
Epoch: [2][8170/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 3.1778 (2.8680)	Prec@1 30.500 (32.203)	Prec@5 55.000 (62.187)
Epoch: [2][8180/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7146 (2.8679)	Prec@1 33.500 (32.201)	Prec@5 69.500 (62.189)
Epoch: [2][8190/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8560 (2.8679)	Prec@1 33.000 (32.203)	Prec@5 65.000 (62.189)
Epoch: [2][8200/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 3.0519 (2.8679)	Prec@1 30.500 (32.204)	Prec@5 56.500 (62.189)
Epoch: [2][8210/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.9367 (2.8679)	Prec@1 31.000 (32.202)	Prec@5 60.500 (62.189)
Epoch: [2][8220/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8035 (2.8679)	Prec@1 32.500 (32.201)	Prec@5 63.500 (62.189)
Epoch: [2][8230/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.8121 (2.8679)	Prec@1 34.500 (32.203)	Prec@5 62.500 (62.189)
Epoch: [2][8240/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.9992 (2.8678)	Prec@1 34.000 (32.205)	Prec@5 58.000 (62.190)
Epoch: [2][8250/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9512 (2.8677)	Prec@1 34.000 (32.206)	Prec@5 65.000 (62.193)
Epoch: [2][8260/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7730 (2.8677)	Prec@1 36.000 (32.205)	Prec@5 66.000 (62.194)
Epoch: [2][8270/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8082 (2.8676)	Prec@1 31.500 (32.205)	Prec@5 62.500 (62.196)
Epoch: [2][8280/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7316 (2.8676)	Prec@1 36.000 (32.205)	Prec@5 63.000 (62.197)
Epoch: [2][8290/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.8137 (2.8675)	Prec@1 31.500 (32.208)	Prec@5 66.000 (62.198)
Epoch: [2][8300/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.9297 (2.8675)	Prec@1 32.000 (32.207)	Prec@5 59.500 (62.197)
Epoch: [2][8310/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.9368 (2.8675)	Prec@1 32.500 (32.206)	Prec@5 63.000 (62.201)
Epoch: [2][8320/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7681 (2.8673)	Prec@1 35.000 (32.210)	Prec@5 66.000 (62.205)
Epoch: [2][8330/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.6982 (2.8673)	Prec@1 37.000 (32.210)	Prec@5 63.500 (62.206)
Epoch: [2][8340/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9461 (2.8673)	Prec@1 30.000 (32.211)	Prec@5 57.500 (62.207)
Epoch: [2][8350/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.9829 (2.8672)	Prec@1 30.500 (32.211)	Prec@5 59.500 (62.209)
Epoch: [2][8360/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6923 (2.8672)	Prec@1 37.000 (32.211)	Prec@5 66.500 (62.210)
Epoch: [2][8370/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9294 (2.8671)	Prec@1 27.000 (32.212)	Prec@5 61.500 (62.212)
Epoch: [2][8380/9018]	Time 0.765 (0.615)	Data 0.001 (0.001)	Loss 2.7317 (2.8671)	Prec@1 38.500 (32.213)	Prec@5 64.000 (62.213)
Epoch: [2][8390/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7204 (2.8670)	Prec@1 38.500 (32.215)	Prec@5 63.500 (62.214)
Epoch: [2][8400/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7756 (2.8670)	Prec@1 30.000 (32.214)	Prec@5 65.000 (62.215)
Epoch: [2][8410/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8676 (2.8669)	Prec@1 36.000 (32.217)	Prec@5 64.000 (62.217)
Epoch: [2][8420/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 3.0246 (2.8668)	Prec@1 29.000 (32.218)	Prec@5 59.500 (62.219)
Epoch: [2][8430/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8352 (2.8668)	Prec@1 30.500 (32.218)	Prec@5 63.000 (62.219)
Epoch: [2][8440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9247 (2.8667)	Prec@1 33.000 (32.220)	Prec@5 59.500 (62.220)
Epoch: [2][8450/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6092 (2.8666)	Prec@1 36.500 (32.223)	Prec@5 67.000 (62.222)
Epoch: [2][8460/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7487 (2.8665)	Prec@1 36.000 (32.226)	Prec@5 63.000 (62.225)
Epoch: [2][8470/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8590 (2.8665)	Prec@1 34.500 (32.226)	Prec@5 60.500 (62.225)
Epoch: [2][8480/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6297 (2.8664)	Prec@1 40.500 (32.227)	Prec@5 65.000 (62.226)
Epoch: [2][8490/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.0076 (2.8664)	Prec@1 30.000 (32.228)	Prec@5 59.500 (62.226)
Epoch: [2][8500/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7771 (2.8664)	Prec@1 38.500 (32.230)	Prec@5 65.000 (62.225)
Epoch: [2][8510/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6406 (2.8663)	Prec@1 35.000 (32.231)	Prec@5 62.500 (62.226)
Epoch: [2][8520/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7531 (2.8663)	Prec@1 39.000 (32.232)	Prec@5 64.500 (62.228)
Epoch: [2][8530/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7687 (2.8662)	Prec@1 33.000 (32.232)	Prec@5 67.000 (62.230)
Epoch: [2][8540/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7661 (2.8662)	Prec@1 33.500 (32.232)	Prec@5 67.500 (62.229)
Epoch: [2][8550/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.9108 (2.8662)	Prec@1 34.000 (32.234)	Prec@5 62.500 (62.229)
Epoch: [2][8560/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.9064 (2.8660)	Prec@1 30.000 (32.236)	Prec@5 65.000 (62.234)
Epoch: [2][8570/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6945 (2.8659)	Prec@1 37.000 (32.238)	Prec@5 63.500 (62.234)
Epoch: [2][8580/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6463 (2.8659)	Prec@1 38.500 (32.238)	Prec@5 69.500 (62.236)
Epoch: [2][8590/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5613 (2.8658)	Prec@1 39.000 (32.240)	Prec@5 64.500 (62.236)
Epoch: [2][8600/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7096 (2.8657)	Prec@1 32.000 (32.241)	Prec@5 62.500 (62.237)
Epoch: [2][8610/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8073 (2.8657)	Prec@1 34.500 (32.241)	Prec@5 61.000 (62.238)
Epoch: [2][8620/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8280 (2.8657)	Prec@1 31.000 (32.239)	Prec@5 62.000 (62.238)
Epoch: [2][8630/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.9134 (2.8657)	Prec@1 33.000 (32.239)	Prec@5 61.000 (62.236)
Epoch: [2][8640/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7534 (2.8657)	Prec@1 35.500 (32.238)	Prec@5 65.000 (62.235)
Epoch: [2][8650/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8974 (2.8657)	Prec@1 31.000 (32.238)	Prec@5 64.000 (62.236)
Epoch: [2][8660/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.6691 (2.8656)	Prec@1 34.000 (32.239)	Prec@5 67.000 (62.239)
Epoch: [2][8670/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7662 (2.8655)	Prec@1 36.500 (32.241)	Prec@5 63.000 (62.240)
Epoch: [2][8680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8599 (2.8655)	Prec@1 31.000 (32.242)	Prec@5 56.500 (62.240)
Epoch: [2][8690/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6542 (2.8654)	Prec@1 36.000 (32.242)	Prec@5 66.000 (62.242)
Epoch: [2][8700/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6578 (2.8653)	Prec@1 33.500 (32.245)	Prec@5 64.500 (62.245)
Epoch: [2][8710/9018]	Time 0.717 (0.615)	Data 0.001 (0.001)	Loss 2.9178 (2.8653)	Prec@1 31.000 (32.245)	Prec@5 60.000 (62.246)
Epoch: [2][8720/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.0151 (2.8653)	Prec@1 25.500 (32.246)	Prec@5 61.500 (62.246)
Epoch: [2][8730/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6325 (2.8652)	Prec@1 42.000 (32.248)	Prec@5 68.500 (62.248)
Epoch: [2][8740/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.9091 (2.8651)	Prec@1 27.000 (32.250)	Prec@5 61.000 (62.252)
Epoch: [2][8750/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8933 (2.8651)	Prec@1 37.500 (32.250)	Prec@5 58.000 (62.251)
Epoch: [2][8760/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 3.1206 (2.8651)	Prec@1 30.000 (32.250)	Prec@5 58.500 (62.250)
Epoch: [2][8770/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8931 (2.8650)	Prec@1 30.000 (32.251)	Prec@5 62.000 (62.252)
Epoch: [2][8780/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8835 (2.8650)	Prec@1 34.000 (32.252)	Prec@5 60.500 (62.252)
Epoch: [2][8790/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.8612 (2.8649)	Prec@1 30.000 (32.254)	Prec@5 59.000 (62.253)
Epoch: [2][8800/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8857 (2.8648)	Prec@1 36.500 (32.255)	Prec@5 66.500 (62.254)
Epoch: [2][8810/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7198 (2.8648)	Prec@1 34.000 (32.256)	Prec@5 63.500 (62.255)
Epoch: [2][8820/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6457 (2.8647)	Prec@1 34.500 (32.258)	Prec@5 66.500 (62.258)
Epoch: [2][8830/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.9299 (2.8647)	Prec@1 31.500 (32.260)	Prec@5 61.000 (62.258)
Epoch: [2][8840/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7050 (2.8646)	Prec@1 32.500 (32.260)	Prec@5 62.000 (62.259)
Epoch: [2][8850/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8251 (2.8645)	Prec@1 32.000 (32.262)	Prec@5 64.000 (62.261)
Epoch: [2][8860/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.8709 (2.8645)	Prec@1 30.500 (32.261)	Prec@5 60.000 (62.262)
Epoch: [2][8870/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 3.0543 (2.8645)	Prec@1 24.000 (32.261)	Prec@5 61.500 (62.264)
Epoch: [2][8880/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8925 (2.8644)	Prec@1 30.000 (32.262)	Prec@5 62.500 (62.265)
Epoch: [2][8890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7351 (2.8643)	Prec@1 35.500 (32.264)	Prec@5 61.000 (62.267)
Epoch: [2][8900/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6387 (2.8642)	Prec@1 37.000 (32.265)	Prec@5 65.500 (62.268)
Epoch: [2][8910/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9118 (2.8641)	Prec@1 30.000 (32.267)	Prec@5 60.500 (62.271)
Epoch: [2][8920/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7697 (2.8640)	Prec@1 35.500 (32.269)	Prec@5 63.000 (62.272)
Epoch: [2][8930/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.8155 (2.8639)	Prec@1 33.000 (32.270)	Prec@5 65.000 (62.275)
Epoch: [2][8940/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7531 (2.8638)	Prec@1 34.000 (32.272)	Prec@5 67.500 (62.276)
Epoch: [2][8950/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8112 (2.8639)	Prec@1 32.500 (32.270)	Prec@5 61.500 (62.274)
Epoch: [2][8960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6657 (2.8639)	Prec@1 37.500 (32.270)	Prec@5 67.500 (62.274)
Epoch: [2][8970/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7695 (2.8638)	Prec@1 32.000 (32.270)	Prec@5 67.500 (62.275)
Epoch: [2][8980/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7487 (2.8638)	Prec@1 32.500 (32.271)	Prec@5 63.000 (62.275)
Epoch: [2][8990/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.8302 (2.8637)	Prec@1 33.000 (32.272)	Prec@5 65.000 (62.277)
Epoch: [2][9000/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5948 (2.8637)	Prec@1 31.500 (32.272)	Prec@5 70.000 (62.277)
Epoch: [2][9010/9018]	Time 0.598 (0.615)	Data 0.000 (0.001)	Loss 2.5917 (2.8637)	Prec@1 38.500 (32.273)	Prec@5 68.500 (62.278)
Test: [0/183]	Time 1.333 (1.333)	Loss 3.2797 (3.2797)	Prec@1 26.000 (26.000)	Prec@5 59.500 (59.500)
Test: [10/183]	Time 0.183 (0.310)	Loss 2.5826 (2.6932)	Prec@1 37.500 (34.500)	Prec@5 68.500 (66.500)
Test: [20/183]	Time 0.181 (0.254)	Loss 3.0362 (2.6565)	Prec@1 27.500 (35.119)	Prec@5 55.000 (66.976)
Test: [30/183]	Time 0.193 (0.238)	Loss 3.0474 (2.6168)	Prec@1 20.000 (35.710)	Prec@5 60.500 (68.129)
Test: [40/183]	Time 0.191 (0.229)	Loss 3.5497 (2.6281)	Prec@1 16.000 (35.768)	Prec@5 46.000 (67.244)
Test: [50/183]	Time 0.183 (0.222)	Loss 3.0806 (2.6049)	Prec@1 19.500 (36.353)	Prec@5 64.000 (67.667)
Test: [60/183]	Time 0.186 (0.218)	Loss 2.4890 (2.6414)	Prec@1 42.500 (35.287)	Prec@5 71.500 (66.893)
Test: [70/183]	Time 0.181 (0.214)	Loss 2.7679 (2.6314)	Prec@1 30.500 (35.303)	Prec@5 63.000 (67.099)
Test: [80/183]	Time 0.205 (0.213)	Loss 2.0976 (2.5958)	Prec@1 48.500 (36.265)	Prec@5 79.000 (67.636)
Test: [90/183]	Time 0.185 (0.211)	Loss 3.3807 (2.5824)	Prec@1 20.000 (36.495)	Prec@5 54.000 (67.868)
Test: [100/183]	Time 0.185 (0.210)	Loss 1.9998 (2.5867)	Prec@1 47.500 (36.287)	Prec@5 78.500 (67.926)
Test: [110/183]	Time 0.183 (0.209)	Loss 1.6627 (2.5759)	Prec@1 55.500 (36.541)	Prec@5 86.000 (68.149)
Test: [120/183]	Time 0.208 (0.207)	Loss 2.8791 (2.5638)	Prec@1 28.500 (36.694)	Prec@5 63.000 (68.475)
Test: [130/183]	Time 0.204 (0.206)	Loss 3.4766 (2.5678)	Prec@1 13.500 (36.359)	Prec@5 50.000 (68.515)
Test: [140/183]	Time 0.185 (0.206)	Loss 1.8212 (2.5459)	Prec@1 52.500 (36.901)	Prec@5 82.500 (68.936)
Test: [150/183]	Time 0.189 (0.205)	Loss 1.0723 (2.5252)	Prec@1 73.000 (37.417)	Prec@5 93.500 (69.295)
Test: [160/183]	Time 0.182 (0.205)	Loss 2.5879 (2.5178)	Prec@1 35.500 (37.578)	Prec@5 64.000 (69.425)
Test: [170/183]	Time 0.182 (0.204)	Loss 3.3587 (2.5443)	Prec@1 17.000 (37.094)	Prec@5 55.500 (68.848)
Test: [180/183]	Time 0.200 (0.204)	Loss 2.6667 (2.5540)	Prec@1 41.000 (37.061)	Prec@5 70.500 (68.646)
 * Prec@1 37.178 Prec@5 68.690
Epoch: [3][0/9018]	Time 3.082 (3.082)	Data 2.477 (2.477)	Loss 2.6347 (2.6347)	Prec@1 34.500 (34.500)	Prec@5 68.000 (68.000)
Epoch: [3][10/9018]	Time 0.602 (0.844)	Data 0.001 (0.226)	Loss 2.9281 (2.8555)	Prec@1 30.000 (31.909)	Prec@5 66.500 (63.045)
Epoch: [3][20/9018]	Time 0.603 (0.727)	Data 0.001 (0.119)	Loss 2.7362 (2.8531)	Prec@1 33.500 (32.381)	Prec@5 64.500 (63.143)
Epoch: [3][30/9018]	Time 0.604 (0.691)	Data 0.001 (0.081)	Loss 2.8871 (2.8027)	Prec@1 36.000 (33.661)	Prec@5 66.500 (64.306)
Epoch: [3][40/9018]	Time 0.598 (0.673)	Data 0.001 (0.061)	Loss 2.9122 (2.7886)	Prec@1 38.500 (34.134)	Prec@5 61.000 (64.439)
Epoch: [3][50/9018]	Time 0.597 (0.658)	Data 0.001 (0.049)	Loss 2.8346 (2.7786)	Prec@1 29.000 (34.078)	Prec@5 63.500 (64.324)
Epoch: [3][60/9018]	Time 0.597 (0.652)	Data 0.001 (0.041)	Loss 3.2458 (2.7891)	Prec@1 29.500 (33.959)	Prec@5 56.500 (63.975)
Epoch: [3][70/9018]	Time 0.738 (0.647)	Data 0.001 (0.036)	Loss 2.8188 (2.7849)	Prec@1 32.500 (33.965)	Prec@5 64.500 (63.958)
Epoch: [3][80/9018]	Time 0.594 (0.642)	Data 0.001 (0.031)	Loss 2.9952 (2.7814)	Prec@1 31.500 (33.988)	Prec@5 61.500 (64.049)
Epoch: [3][90/9018]	Time 0.596 (0.639)	Data 0.001 (0.028)	Loss 2.7290 (2.7826)	Prec@1 35.500 (33.984)	Prec@5 64.000 (64.088)
Epoch: [3][100/9018]	Time 0.596 (0.635)	Data 0.001 (0.025)	Loss 2.7328 (2.7813)	Prec@1 34.500 (33.871)	Prec@5 66.000 (64.203)
Epoch: [3][110/9018]	Time 0.600 (0.633)	Data 0.001 (0.023)	Loss 2.9655 (2.7815)	Prec@1 32.500 (33.887)	Prec@5 60.000 (64.117)
Epoch: [3][120/9018]	Time 0.733 (0.632)	Data 0.001 (0.021)	Loss 2.6900 (2.7836)	Prec@1 37.000 (33.855)	Prec@5 66.500 (64.169)
Epoch: [3][130/9018]	Time 0.602 (0.630)	Data 0.001 (0.020)	Loss 2.9558 (2.7856)	Prec@1 33.500 (33.763)	Prec@5 61.000 (64.103)
Epoch: [3][140/9018]	Time 0.604 (0.629)	Data 0.001 (0.018)	Loss 2.8701 (2.7905)	Prec@1 30.000 (33.592)	Prec@5 64.500 (63.996)
Epoch: [3][150/9018]	Time 0.613 (0.628)	Data 0.001 (0.017)	Loss 2.8328 (2.7940)	Prec@1 31.500 (33.460)	Prec@5 64.000 (63.997)
Epoch: [3][160/9018]	Time 0.601 (0.627)	Data 0.001 (0.016)	Loss 2.5832 (2.7920)	Prec@1 33.000 (33.494)	Prec@5 69.000 (64.124)
Epoch: [3][170/9018]	Time 0.600 (0.626)	Data 0.001 (0.015)	Loss 2.6352 (2.7902)	Prec@1 37.500 (33.561)	Prec@5 64.000 (64.149)
Epoch: [3][180/9018]	Time 0.599 (0.625)	Data 0.001 (0.014)	Loss 2.8600 (2.7922)	Prec@1 31.500 (33.448)	Prec@5 61.500 (64.066)
Epoch: [3][190/9018]	Time 0.603 (0.625)	Data 0.001 (0.014)	Loss 2.9671 (2.7958)	Prec@1 31.000 (33.395)	Prec@5 60.500 (63.997)
Epoch: [3][200/9018]	Time 0.620 (0.624)	Data 0.001 (0.013)	Loss 2.9177 (2.7962)	Prec@1 32.500 (33.351)	Prec@5 61.500 (63.960)
Epoch: [3][210/9018]	Time 0.599 (0.623)	Data 0.001 (0.013)	Loss 2.6191 (2.7914)	Prec@1 33.500 (33.410)	Prec@5 63.500 (64.017)
Epoch: [3][220/9018]	Time 0.601 (0.623)	Data 0.001 (0.012)	Loss 2.7025 (2.7931)	Prec@1 34.000 (33.416)	Prec@5 63.500 (63.932)
Epoch: [3][230/9018]	Time 0.595 (0.622)	Data 0.001 (0.011)	Loss 2.6985 (2.7934)	Prec@1 32.500 (33.433)	Prec@5 63.500 (63.859)
Epoch: [3][240/9018]	Time 0.602 (0.622)	Data 0.001 (0.011)	Loss 2.6155 (2.7949)	Prec@1 40.000 (33.429)	Prec@5 73.500 (63.844)
Epoch: [3][250/9018]	Time 0.622 (0.621)	Data 0.001 (0.011)	Loss 2.9556 (2.7947)	Prec@1 24.500 (33.450)	Prec@5 63.000 (63.861)
Epoch: [3][260/9018]	Time 0.604 (0.621)	Data 0.001 (0.010)	Loss 2.6665 (2.7925)	Prec@1 35.000 (33.510)	Prec@5 66.500 (63.879)
Epoch: [3][270/9018]	Time 0.608 (0.621)	Data 0.001 (0.010)	Loss 2.8991 (2.7949)	Prec@1 29.500 (33.494)	Prec@5 62.500 (63.821)
Epoch: [3][280/9018]	Time 0.600 (0.620)	Data 0.001 (0.010)	Loss 2.8007 (2.7977)	Prec@1 36.000 (33.468)	Prec@5 67.500 (63.792)
Epoch: [3][290/9018]	Time 0.625 (0.620)	Data 0.001 (0.009)	Loss 2.8085 (2.7965)	Prec@1 32.500 (33.466)	Prec@5 65.500 (63.818)
Epoch: [3][300/9018]	Time 0.599 (0.619)	Data 0.001 (0.009)	Loss 2.5032 (2.7957)	Prec@1 36.000 (33.490)	Prec@5 69.000 (63.811)
Epoch: [3][310/9018]	Time 0.603 (0.619)	Data 0.001 (0.009)	Loss 2.8263 (2.7984)	Prec@1 33.500 (33.447)	Prec@5 63.500 (63.752)
Epoch: [3][320/9018]	Time 0.603 (0.619)	Data 0.001 (0.008)	Loss 2.7171 (2.7975)	Prec@1 34.500 (33.456)	Prec@5 63.000 (63.741)
Epoch: [3][330/9018]	Time 0.598 (0.619)	Data 0.001 (0.008)	Loss 2.6460 (2.7939)	Prec@1 30.500 (33.502)	Prec@5 68.500 (63.801)
Epoch: [3][340/9018]	Time 0.606 (0.619)	Data 0.001 (0.008)	Loss 2.7223 (2.7913)	Prec@1 31.500 (33.541)	Prec@5 65.500 (63.818)
Epoch: [3][350/9018]	Time 0.605 (0.618)	Data 0.001 (0.008)	Loss 2.6445 (2.7910)	Prec@1 34.000 (33.548)	Prec@5 62.500 (63.813)
Epoch: [3][360/9018]	Time 0.599 (0.618)	Data 0.001 (0.008)	Loss 2.7652 (2.7927)	Prec@1 36.000 (33.521)	Prec@5 64.000 (63.765)
Epoch: [3][370/9018]	Time 0.603 (0.618)	Data 0.001 (0.007)	Loss 2.8936 (2.7939)	Prec@1 30.000 (33.493)	Prec@5 63.000 (63.748)
Epoch: [3][380/9018]	Time 0.627 (0.618)	Data 0.001 (0.007)	Loss 2.9037 (2.7936)	Prec@1 29.000 (33.510)	Prec@5 60.000 (63.743)
Epoch: [3][390/9018]	Time 0.605 (0.618)	Data 0.001 (0.007)	Loss 2.7779 (2.7933)	Prec@1 34.500 (33.505)	Prec@5 63.000 (63.757)
Epoch: [3][400/9018]	Time 0.734 (0.618)	Data 0.001 (0.007)	Loss 2.8378 (2.7937)	Prec@1 32.500 (33.483)	Prec@5 63.500 (63.776)
Epoch: [3][410/9018]	Time 0.598 (0.617)	Data 0.001 (0.007)	Loss 2.7990 (2.7947)	Prec@1 33.500 (33.485)	Prec@5 65.000 (63.752)
Epoch: [3][420/9018]	Time 0.602 (0.617)	Data 0.001 (0.007)	Loss 2.7565 (2.7956)	Prec@1 36.000 (33.455)	Prec@5 67.000 (63.757)
Epoch: [3][430/9018]	Time 0.618 (0.617)	Data 0.001 (0.007)	Loss 2.8042 (2.7952)	Prec@1 33.500 (33.485)	Prec@5 64.000 (63.765)
Epoch: [3][440/9018]	Time 0.596 (0.617)	Data 0.001 (0.006)	Loss 2.8071 (2.7952)	Prec@1 29.500 (33.463)	Prec@5 62.500 (63.764)
Epoch: [3][450/9018]	Time 0.696 (0.617)	Data 0.001 (0.006)	Loss 2.5759 (2.7947)	Prec@1 39.500 (33.498)	Prec@5 70.000 (63.786)
Epoch: [3][460/9018]	Time 0.607 (0.616)	Data 0.001 (0.006)	Loss 2.7103 (2.7938)	Prec@1 36.000 (33.538)	Prec@5 66.000 (63.804)
Epoch: [3][470/9018]	Time 0.600 (0.616)	Data 0.001 (0.006)	Loss 2.7914 (2.7937)	Prec@1 29.000 (33.530)	Prec@5 66.500 (63.825)
Epoch: [3][480/9018]	Time 0.600 (0.616)	Data 0.001 (0.006)	Loss 2.9323 (2.7944)	Prec@1 32.000 (33.524)	Prec@5 57.500 (63.784)
Epoch: [3][490/9018]	Time 0.602 (0.616)	Data 0.001 (0.006)	Loss 2.7861 (2.7957)	Prec@1 36.000 (33.513)	Prec@5 66.000 (63.774)
Epoch: [3][500/9018]	Time 0.594 (0.616)	Data 0.001 (0.006)	Loss 2.7167 (2.7955)	Prec@1 37.500 (33.517)	Prec@5 66.000 (63.788)
Epoch: [3][510/9018]	Time 0.601 (0.616)	Data 0.001 (0.006)	Loss 2.7003 (2.7950)	Prec@1 38.000 (33.526)	Prec@5 66.500 (63.795)
Epoch: [3][520/9018]	Time 0.596 (0.616)	Data 0.001 (0.006)	Loss 3.1745 (2.7958)	Prec@1 27.500 (33.519)	Prec@5 52.000 (63.766)
Epoch: [3][530/9018]	Time 0.593 (0.615)	Data 0.001 (0.005)	Loss 2.8686 (2.7956)	Prec@1 31.000 (33.523)	Prec@5 59.500 (63.752)
Epoch: [3][540/9018]	Time 0.614 (0.616)	Data 0.001 (0.005)	Loss 2.7027 (2.7957)	Prec@1 31.000 (33.518)	Prec@5 67.500 (63.770)
Epoch: [3][550/9018]	Time 0.605 (0.616)	Data 0.001 (0.005)	Loss 2.7157 (2.7962)	Prec@1 36.000 (33.502)	Prec@5 67.000 (63.760)
Epoch: [3][560/9018]	Time 0.598 (0.615)	Data 0.001 (0.005)	Loss 2.7709 (2.7963)	Prec@1 34.000 (33.491)	Prec@5 69.500 (63.791)
Epoch: [3][570/9018]	Time 0.612 (0.615)	Data 0.001 (0.005)	Loss 2.9585 (2.7974)	Prec@1 29.500 (33.471)	Prec@5 61.500 (63.778)
Epoch: [3][580/9018]	Time 0.599 (0.615)	Data 0.001 (0.005)	Loss 2.7599 (2.7953)	Prec@1 32.500 (33.511)	Prec@5 63.500 (63.809)
Epoch: [3][590/9018]	Time 0.599 (0.615)	Data 0.001 (0.005)	Loss 2.9041 (2.7958)	Prec@1 35.000 (33.514)	Prec@5 63.500 (63.801)
Epoch: [3][600/9018]	Time 0.597 (0.615)	Data 0.001 (0.005)	Loss 2.6913 (2.7959)	Prec@1 38.500 (33.511)	Prec@5 66.500 (63.807)
Epoch: [3][610/9018]	Time 0.598 (0.615)	Data 0.001 (0.005)	Loss 2.8259 (2.7962)	Prec@1 35.500 (33.516)	Prec@5 63.000 (63.790)
Epoch: [3][620/9018]	Time 0.599 (0.615)	Data 0.001 (0.005)	Loss 2.6814 (2.7964)	Prec@1 38.000 (33.522)	Prec@5 66.500 (63.779)
Epoch: [3][630/9018]	Time 0.594 (0.615)	Data 0.001 (0.005)	Loss 2.5709 (2.7952)	Prec@1 35.500 (33.536)	Prec@5 68.500 (63.796)
Epoch: [3][640/9018]	Time 0.598 (0.615)	Data 0.001 (0.005)	Loss 2.4215 (2.7946)	Prec@1 43.500 (33.569)	Prec@5 69.500 (63.809)
Epoch: [3][650/9018]	Time 0.593 (0.615)	Data 0.001 (0.005)	Loss 2.8815 (2.7947)	Prec@1 31.500 (33.551)	Prec@5 61.500 (63.806)
Epoch: [3][660/9018]	Time 0.600 (0.615)	Data 0.001 (0.005)	Loss 2.7873 (2.7952)	Prec@1 36.500 (33.531)	Prec@5 65.000 (63.794)
Epoch: [3][670/9018]	Time 0.597 (0.615)	Data 0.001 (0.004)	Loss 2.6144 (2.7954)	Prec@1 39.500 (33.531)	Prec@5 69.000 (63.788)
Epoch: [3][680/9018]	Time 0.604 (0.614)	Data 0.001 (0.004)	Loss 2.9519 (2.7965)	Prec@1 37.500 (33.544)	Prec@5 62.000 (63.774)
Epoch: [3][690/9018]	Time 0.598 (0.614)	Data 0.001 (0.004)	Loss 2.8054 (2.7968)	Prec@1 36.500 (33.541)	Prec@5 63.500 (63.758)
Epoch: [3][700/9018]	Time 0.601 (0.614)	Data 0.001 (0.004)	Loss 2.6072 (2.7963)	Prec@1 36.000 (33.536)	Prec@5 69.000 (63.782)
Epoch: [3][710/9018]	Time 0.600 (0.614)	Data 0.001 (0.004)	Loss 2.9763 (2.7972)	Prec@1 28.500 (33.523)	Prec@5 60.000 (63.767)
Epoch: [3][720/9018]	Time 0.613 (0.614)	Data 0.001 (0.004)	Loss 3.0040 (2.7975)	Prec@1 28.000 (33.516)	Prec@5 57.500 (63.750)
Epoch: [3][730/9018]	Time 0.708 (0.614)	Data 0.001 (0.004)	Loss 2.8869 (2.7977)	Prec@1 35.500 (33.525)	Prec@5 66.500 (63.745)
Epoch: [3][740/9018]	Time 0.597 (0.614)	Data 0.001 (0.004)	Loss 2.9872 (2.7990)	Prec@1 27.500 (33.495)	Prec@5 58.000 (63.712)
Epoch: [3][750/9018]	Time 0.618 (0.614)	Data 0.001 (0.004)	Loss 3.1245 (2.8004)	Prec@1 29.500 (33.476)	Prec@5 52.500 (63.686)
Epoch: [3][760/9018]	Time 0.603 (0.614)	Data 0.001 (0.004)	Loss 2.6692 (2.8006)	Prec@1 30.500 (33.459)	Prec@5 67.000 (63.673)
Epoch: [3][770/9018]	Time 0.617 (0.614)	Data 0.001 (0.004)	Loss 2.8394 (2.8011)	Prec@1 33.000 (33.455)	Prec@5 60.500 (63.661)
Epoch: [3][780/9018]	Time 0.719 (0.614)	Data 0.001 (0.004)	Loss 2.7166 (2.8004)	Prec@1 36.000 (33.449)	Prec@5 65.500 (63.674)
Epoch: [3][790/9018]	Time 0.599 (0.614)	Data 0.001 (0.004)	Loss 2.8414 (2.8013)	Prec@1 30.000 (33.439)	Prec@5 63.000 (63.650)
Epoch: [3][800/9018]	Time 0.597 (0.614)	Data 0.001 (0.004)	Loss 2.8784 (2.8013)	Prec@1 33.500 (33.451)	Prec@5 62.500 (63.653)
Epoch: [3][810/9018]	Time 0.597 (0.614)	Data 0.001 (0.004)	Loss 2.6115 (2.8010)	Prec@1 37.500 (33.461)	Prec@5 66.000 (63.661)
Epoch: [3][820/9018]	Time 0.598 (0.614)	Data 0.001 (0.004)	Loss 2.8214 (2.8002)	Prec@1 33.500 (33.480)	Prec@5 66.000 (63.673)
Epoch: [3][830/9018]	Time 0.599 (0.614)	Data 0.001 (0.004)	Loss 2.9147 (2.7997)	Prec@1 30.000 (33.476)	Prec@5 61.500 (63.685)
Epoch: [3][840/9018]	Time 0.615 (0.614)	Data 0.001 (0.004)	Loss 2.9652 (2.8010)	Prec@1 32.000 (33.474)	Prec@5 58.500 (63.665)
Epoch: [3][850/9018]	Time 0.605 (0.614)	Data 0.001 (0.004)	Loss 2.8592 (2.8022)	Prec@1 32.500 (33.439)	Prec@5 60.500 (63.646)
Epoch: [3][860/9018]	Time 0.594 (0.613)	Data 0.001 (0.004)	Loss 2.5447 (2.8029)	Prec@1 38.500 (33.438)	Prec@5 71.000 (63.623)
Epoch: [3][870/9018]	Time 0.618 (0.613)	Data 0.001 (0.004)	Loss 3.2287 (2.8032)	Prec@1 24.000 (33.430)	Prec@5 55.500 (63.625)
Epoch: [3][880/9018]	Time 0.599 (0.613)	Data 0.001 (0.004)	Loss 2.6814 (2.8027)	Prec@1 40.000 (33.438)	Prec@5 64.000 (63.639)
Epoch: [3][890/9018]	Time 0.619 (0.613)	Data 0.001 (0.004)	Loss 2.8940 (2.8021)	Prec@1 35.500 (33.451)	Prec@5 58.500 (63.642)
Epoch: [3][900/9018]	Time 0.603 (0.613)	Data 0.001 (0.004)	Loss 2.8079 (2.8025)	Prec@1 33.500 (33.439)	Prec@5 62.000 (63.629)
Epoch: [3][910/9018]	Time 0.608 (0.613)	Data 0.001 (0.003)	Loss 2.9827 (2.8033)	Prec@1 26.500 (33.426)	Prec@5 60.000 (63.610)
Epoch: [3][920/9018]	Time 0.605 (0.613)	Data 0.001 (0.003)	Loss 2.8538 (2.8036)	Prec@1 33.500 (33.421)	Prec@5 62.000 (63.596)
Epoch: [3][930/9018]	Time 0.606 (0.613)	Data 0.001 (0.003)	Loss 2.9670 (2.8040)	Prec@1 30.500 (33.424)	Prec@5 58.000 (63.589)
Epoch: [3][940/9018]	Time 0.613 (0.613)	Data 0.001 (0.003)	Loss 2.9335 (2.8035)	Prec@1 28.500 (33.423)	Prec@5 56.500 (63.591)
Epoch: [3][950/9018]	Time 0.599 (0.613)	Data 0.001 (0.003)	Loss 2.8148 (2.8032)	Prec@1 34.000 (33.434)	Prec@5 63.500 (63.594)
Epoch: [3][960/9018]	Time 0.599 (0.613)	Data 0.001 (0.003)	Loss 2.8921 (2.8032)	Prec@1 34.000 (33.416)	Prec@5 60.500 (63.597)
Epoch: [3][970/9018]	Time 0.602 (0.613)	Data 0.001 (0.003)	Loss 2.8061 (2.8032)	Prec@1 36.000 (33.418)	Prec@5 63.500 (63.604)
Epoch: [3][980/9018]	Time 0.606 (0.613)	Data 0.001 (0.003)	Loss 2.4624 (2.8035)	Prec@1 39.000 (33.407)	Prec@5 71.500 (63.586)
Epoch: [3][990/9018]	Time 0.600 (0.613)	Data 0.001 (0.003)	Loss 2.9637 (2.8037)	Prec@1 30.500 (33.412)	Prec@5 61.000 (63.584)
Epoch: [3][1000/9018]	Time 0.619 (0.613)	Data 0.001 (0.003)	Loss 2.8906 (2.8034)	Prec@1 31.500 (33.412)	Prec@5 63.000 (63.591)
Epoch: [3][1010/9018]	Time 0.595 (0.613)	Data 0.001 (0.003)	Loss 2.8075 (2.8028)	Prec@1 32.500 (33.420)	Prec@5 63.000 (63.602)
Epoch: [3][1020/9018]	Time 0.593 (0.613)	Data 0.001 (0.003)	Loss 2.9542 (2.8027)	Prec@1 32.500 (33.428)	Prec@5 59.500 (63.595)
Epoch: [3][1030/9018]	Time 0.592 (0.613)	Data 0.001 (0.003)	Loss 2.9960 (2.8022)	Prec@1 33.000 (33.428)	Prec@5 61.500 (63.604)
Epoch: [3][1040/9018]	Time 0.614 (0.613)	Data 0.001 (0.003)	Loss 2.7812 (2.8025)	Prec@1 31.000 (33.411)	Prec@5 64.000 (63.598)
Epoch: [3][1050/9018]	Time 0.606 (0.613)	Data 0.001 (0.003)	Loss 2.7344 (2.8025)	Prec@1 33.500 (33.406)	Prec@5 64.500 (63.588)
Epoch: [3][1060/9018]	Time 0.735 (0.613)	Data 0.001 (0.003)	Loss 2.9096 (2.8019)	Prec@1 36.000 (33.414)	Prec@5 64.000 (63.609)
Epoch: [3][1070/9018]	Time 0.601 (0.613)	Data 0.001 (0.003)	Loss 2.7053 (2.8020)	Prec@1 37.500 (33.408)	Prec@5 66.000 (63.614)
Epoch: [3][1080/9018]	Time 0.596 (0.613)	Data 0.001 (0.003)	Loss 2.8274 (2.8019)	Prec@1 33.500 (33.410)	Prec@5 65.500 (63.627)
Epoch: [3][1090/9018]	Time 0.606 (0.613)	Data 0.001 (0.003)	Loss 2.9534 (2.8028)	Prec@1 28.500 (33.401)	Prec@5 59.000 (63.605)
Epoch: [3][1100/9018]	Time 0.595 (0.613)	Data 0.001 (0.003)	Loss 2.8748 (2.8026)	Prec@1 30.500 (33.406)	Prec@5 61.000 (63.604)
Epoch: [3][1110/9018]	Time 0.743 (0.613)	Data 0.001 (0.003)	Loss 2.8558 (2.8021)	Prec@1 35.500 (33.401)	Prec@5 58.000 (63.619)
Epoch: [3][1120/9018]	Time 0.594 (0.613)	Data 0.001 (0.003)	Loss 2.8338 (2.8021)	Prec@1 34.000 (33.403)	Prec@5 63.000 (63.624)
Epoch: [3][1130/9018]	Time 0.598 (0.613)	Data 0.001 (0.003)	Loss 2.9317 (2.8015)	Prec@1 30.500 (33.405)	Prec@5 59.000 (63.628)
Epoch: [3][1140/9018]	Time 0.615 (0.613)	Data 0.001 (0.003)	Loss 3.0421 (2.8016)	Prec@1 30.000 (33.391)	Prec@5 57.000 (63.617)
Epoch: [3][1150/9018]	Time 0.598 (0.613)	Data 0.001 (0.003)	Loss 2.8908 (2.8015)	Prec@1 33.000 (33.390)	Prec@5 59.000 (63.611)
Epoch: [3][1160/9018]	Time 0.604 (0.613)	Data 0.001 (0.003)	Loss 2.8906 (2.8010)	Prec@1 32.500 (33.404)	Prec@5 59.500 (63.620)
Epoch: [3][1170/9018]	Time 0.598 (0.613)	Data 0.001 (0.003)	Loss 2.8186 (2.8005)	Prec@1 29.000 (33.410)	Prec@5 64.000 (63.626)
Epoch: [3][1180/9018]	Time 0.600 (0.613)	Data 0.001 (0.003)	Loss 2.7791 (2.8002)	Prec@1 34.000 (33.420)	Prec@5 57.000 (63.630)
Epoch: [3][1190/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 2.6574 (2.7996)	Prec@1 37.000 (33.418)	Prec@5 64.500 (63.638)
Epoch: [3][1200/9018]	Time 0.603 (0.613)	Data 0.001 (0.003)	Loss 3.0399 (2.7996)	Prec@1 25.500 (33.408)	Prec@5 59.500 (63.636)
Epoch: [3][1210/9018]	Time 0.607 (0.613)	Data 0.001 (0.003)	Loss 2.9247 (2.7992)	Prec@1 31.500 (33.412)	Prec@5 62.500 (63.645)
Epoch: [3][1220/9018]	Time 0.596 (0.613)	Data 0.001 (0.003)	Loss 2.7812 (2.7990)	Prec@1 35.000 (33.410)	Prec@5 64.000 (63.661)
Epoch: [3][1230/9018]	Time 0.603 (0.613)	Data 0.001 (0.003)	Loss 2.7869 (2.7988)	Prec@1 32.000 (33.421)	Prec@5 60.500 (63.662)
Epoch: [3][1240/9018]	Time 0.605 (0.612)	Data 0.001 (0.003)	Loss 2.9903 (2.7991)	Prec@1 30.500 (33.415)	Prec@5 59.500 (63.653)
Epoch: [3][1250/9018]	Time 0.614 (0.613)	Data 0.001 (0.003)	Loss 2.7624 (2.7992)	Prec@1 33.500 (33.413)	Prec@5 65.000 (63.652)
Epoch: [3][1260/9018]	Time 0.602 (0.613)	Data 0.001 (0.003)	Loss 2.7535 (2.7994)	Prec@1 35.500 (33.413)	Prec@5 63.000 (63.651)
Epoch: [3][1270/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 2.5622 (2.7988)	Prec@1 41.500 (33.431)	Prec@5 68.000 (63.667)
Epoch: [3][1280/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 2.8231 (2.7991)	Prec@1 29.500 (33.422)	Prec@5 65.000 (63.653)
Epoch: [3][1290/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 2.4798 (2.7988)	Prec@1 47.000 (33.431)	Prec@5 70.500 (63.660)
Epoch: [3][1300/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 2.8566 (2.7990)	Prec@1 33.500 (33.423)	Prec@5 59.000 (63.655)
Epoch: [3][1310/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 3.0338 (2.7989)	Prec@1 31.500 (33.428)	Prec@5 57.000 (63.652)
Epoch: [3][1320/9018]	Time 0.603 (0.612)	Data 0.001 (0.003)	Loss 2.8311 (2.7991)	Prec@1 31.500 (33.426)	Prec@5 61.500 (63.649)
Epoch: [3][1330/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.7892 (2.7990)	Prec@1 33.500 (33.427)	Prec@5 63.000 (63.646)
Epoch: [3][1340/9018]	Time 0.611 (0.612)	Data 0.001 (0.003)	Loss 2.9028 (2.7983)	Prec@1 31.500 (33.434)	Prec@5 62.500 (63.652)
Epoch: [3][1350/9018]	Time 0.603 (0.612)	Data 0.001 (0.003)	Loss 2.8297 (2.7985)	Prec@1 32.500 (33.427)	Prec@5 60.500 (63.641)
Epoch: [3][1360/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 2.8844 (2.7990)	Prec@1 30.500 (33.413)	Prec@5 61.500 (63.627)
Epoch: [3][1370/9018]	Time 0.612 (0.612)	Data 0.001 (0.003)	Loss 2.6912 (2.7989)	Prec@1 41.500 (33.417)	Prec@5 63.000 (63.625)
Epoch: [3][1380/9018]	Time 0.618 (0.612)	Data 0.001 (0.003)	Loss 2.8416 (2.7985)	Prec@1 35.000 (33.427)	Prec@5 61.000 (63.638)
Epoch: [3][1390/9018]	Time 0.731 (0.612)	Data 0.001 (0.003)	Loss 2.7077 (2.7981)	Prec@1 35.000 (33.433)	Prec@5 67.000 (63.646)
Epoch: [3][1400/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.5913 (2.7980)	Prec@1 35.500 (33.434)	Prec@5 69.500 (63.645)
Epoch: [3][1410/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.8478 (2.7978)	Prec@1 34.000 (33.434)	Prec@5 62.500 (63.648)
Epoch: [3][1420/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.8627 (2.7981)	Prec@1 31.000 (33.424)	Prec@5 61.000 (63.644)
Epoch: [3][1430/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.7488 (2.7982)	Prec@1 31.500 (33.429)	Prec@5 64.500 (63.639)
Epoch: [3][1440/9018]	Time 0.735 (0.612)	Data 0.001 (0.002)	Loss 3.0662 (2.7981)	Prec@1 31.500 (33.429)	Prec@5 60.000 (63.645)
Epoch: [3][1450/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.7298 (2.7982)	Prec@1 38.500 (33.430)	Prec@5 66.500 (63.644)
Epoch: [3][1460/9018]	Time 0.626 (0.612)	Data 0.001 (0.002)	Loss 2.7393 (2.7979)	Prec@1 29.000 (33.426)	Prec@5 67.000 (63.646)
Epoch: [3][1470/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.8005 (2.7978)	Prec@1 33.500 (33.431)	Prec@5 64.000 (63.646)
Epoch: [3][1480/9018]	Time 0.621 (0.612)	Data 0.001 (0.002)	Loss 2.7455 (2.7979)	Prec@1 30.000 (33.429)	Prec@5 63.000 (63.652)
Epoch: [3][1490/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6800 (2.7973)	Prec@1 39.000 (33.437)	Prec@5 66.000 (63.664)
Epoch: [3][1500/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.5429 (2.7973)	Prec@1 39.500 (33.431)	Prec@5 67.000 (63.664)
Epoch: [3][1510/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.9403 (2.7972)	Prec@1 32.000 (33.434)	Prec@5 58.500 (63.656)
Epoch: [3][1520/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.8013 (2.7972)	Prec@1 31.500 (33.442)	Prec@5 62.500 (63.651)
Epoch: [3][1530/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.9996 (2.7970)	Prec@1 28.000 (33.451)	Prec@5 55.500 (63.652)
Epoch: [3][1540/9018]	Time 0.625 (0.612)	Data 0.001 (0.002)	Loss 2.6959 (2.7975)	Prec@1 33.000 (33.443)	Prec@5 66.000 (63.644)
Epoch: [3][1550/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.7003 (2.7974)	Prec@1 36.500 (33.456)	Prec@5 64.000 (63.642)
Epoch: [3][1560/9018]	Time 0.592 (0.612)	Data 0.001 (0.002)	Loss 2.7937 (2.7969)	Prec@1 32.000 (33.463)	Prec@5 62.000 (63.645)
Epoch: [3][1570/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.9128 (2.7970)	Prec@1 29.500 (33.464)	Prec@5 62.500 (63.645)
Epoch: [3][1580/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.8660 (2.7967)	Prec@1 34.000 (33.470)	Prec@5 63.500 (63.646)
Epoch: [3][1590/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.8146 (2.7965)	Prec@1 33.000 (33.469)	Prec@5 66.000 (63.658)
Epoch: [3][1600/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6964 (2.7966)	Prec@1 37.500 (33.467)	Prec@5 65.500 (63.651)
Epoch: [3][1610/9018]	Time 0.621 (0.612)	Data 0.001 (0.002)	Loss 2.6984 (2.7971)	Prec@1 35.500 (33.462)	Prec@5 66.000 (63.645)
Epoch: [3][1620/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.9508 (2.7965)	Prec@1 33.000 (33.479)	Prec@5 61.000 (63.654)
Epoch: [3][1630/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.8013 (2.7962)	Prec@1 32.000 (33.477)	Prec@5 64.500 (63.658)
Epoch: [3][1640/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 2.6217 (2.7957)	Prec@1 33.000 (33.487)	Prec@5 63.500 (63.665)
Epoch: [3][1650/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6909 (2.7954)	Prec@1 35.500 (33.497)	Prec@5 66.500 (63.671)
Epoch: [3][1660/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.8816 (2.7957)	Prec@1 31.000 (33.491)	Prec@5 59.500 (63.662)
Epoch: [3][1670/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.9373 (2.7953)	Prec@1 34.500 (33.501)	Prec@5 61.000 (63.668)
Epoch: [3][1680/9018]	Time 0.623 (0.612)	Data 0.001 (0.002)	Loss 2.9952 (2.7954)	Prec@1 29.500 (33.507)	Prec@5 64.500 (63.670)
Epoch: [3][1690/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 3.0317 (2.7951)	Prec@1 29.500 (33.514)	Prec@5 61.500 (63.678)
Epoch: [3][1700/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 3.0206 (2.7956)	Prec@1 27.500 (33.504)	Prec@5 61.000 (63.667)
Epoch: [3][1710/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6401 (2.7953)	Prec@1 34.000 (33.504)	Prec@5 68.500 (63.674)
Epoch: [3][1720/9018]	Time 0.719 (0.612)	Data 0.001 (0.002)	Loss 2.9115 (2.7954)	Prec@1 32.500 (33.508)	Prec@5 61.000 (63.670)
Epoch: [3][1730/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.8339 (2.7955)	Prec@1 35.000 (33.504)	Prec@5 64.000 (63.667)
Epoch: [3][1740/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.8768 (2.7957)	Prec@1 29.000 (33.505)	Prec@5 64.000 (63.663)
Epoch: [3][1750/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 3.0324 (2.7962)	Prec@1 29.000 (33.488)	Prec@5 59.500 (63.657)
Epoch: [3][1760/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.8139 (2.7964)	Prec@1 31.000 (33.478)	Prec@5 65.000 (63.651)
Epoch: [3][1770/9018]	Time 0.731 (0.612)	Data 0.001 (0.002)	Loss 2.8383 (2.7960)	Prec@1 34.500 (33.482)	Prec@5 63.500 (63.654)
Epoch: [3][1780/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.7455 (2.7958)	Prec@1 35.500 (33.487)	Prec@5 64.000 (63.659)
Epoch: [3][1790/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.7319 (2.7960)	Prec@1 32.500 (33.487)	Prec@5 65.000 (63.657)
Epoch: [3][1800/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.5255 (2.7960)	Prec@1 40.500 (33.492)	Prec@5 66.000 (63.655)
Epoch: [3][1810/9018]	Time 0.599 (0.612)	Data 0.002 (0.002)	Loss 2.8306 (2.7963)	Prec@1 33.000 (33.480)	Prec@5 62.500 (63.650)
Epoch: [3][1820/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.8796 (2.7960)	Prec@1 35.000 (33.479)	Prec@5 59.500 (63.652)
Epoch: [3][1830/9018]	Time 0.618 (0.612)	Data 0.001 (0.002)	Loss 2.9474 (2.7961)	Prec@1 32.000 (33.475)	Prec@5 61.500 (63.652)
Epoch: [3][1840/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.8483 (2.7955)	Prec@1 32.000 (33.481)	Prec@5 60.500 (63.657)
Epoch: [3][1850/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.8315 (2.7956)	Prec@1 32.000 (33.476)	Prec@5 64.500 (63.660)
Epoch: [3][1860/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.7676 (2.7950)	Prec@1 31.500 (33.482)	Prec@5 65.000 (63.670)
Epoch: [3][1870/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.6498 (2.7947)	Prec@1 32.500 (33.487)	Prec@5 67.000 (63.673)
Epoch: [3][1880/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.8232 (2.7947)	Prec@1 33.000 (33.484)	Prec@5 62.500 (63.670)
Epoch: [3][1890/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.7921 (2.7948)	Prec@1 35.000 (33.484)	Prec@5 69.500 (63.677)
Epoch: [3][1900/9018]	Time 0.628 (0.612)	Data 0.001 (0.002)	Loss 2.6444 (2.7946)	Prec@1 39.000 (33.487)	Prec@5 67.000 (63.686)
Epoch: [3][1910/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.7335 (2.7946)	Prec@1 35.000 (33.482)	Prec@5 64.500 (63.682)
Epoch: [3][1920/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.6665 (2.7945)	Prec@1 34.000 (33.482)	Prec@5 66.500 (63.680)
Epoch: [3][1930/9018]	Time 0.614 (0.612)	Data 0.001 (0.002)	Loss 2.7537 (2.7947)	Prec@1 34.000 (33.485)	Prec@5 66.500 (63.679)
Epoch: [3][1940/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.9413 (2.7949)	Prec@1 29.500 (33.481)	Prec@5 62.500 (63.681)
Epoch: [3][1950/9018]	Time 0.591 (0.612)	Data 0.001 (0.002)	Loss 2.6322 (2.7948)	Prec@1 35.500 (33.476)	Prec@5 66.000 (63.682)
Epoch: [3][1960/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.3873 (2.7940)	Prec@1 41.500 (33.489)	Prec@5 71.000 (63.700)
Epoch: [3][1970/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.6925 (2.7936)	Prec@1 30.000 (33.495)	Prec@5 66.500 (63.708)
Epoch: [3][1980/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 2.9704 (2.7940)	Prec@1 34.500 (33.492)	Prec@5 58.500 (63.701)
Epoch: [3][1990/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.9235 (2.7937)	Prec@1 32.000 (33.493)	Prec@5 60.500 (63.706)
Epoch: [3][2000/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.6427 (2.7933)	Prec@1 37.000 (33.499)	Prec@5 66.500 (63.714)
Epoch: [3][2010/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.6103 (2.7932)	Prec@1 35.000 (33.499)	Prec@5 68.000 (63.718)
Epoch: [3][2020/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.7519 (2.7930)	Prec@1 37.500 (33.505)	Prec@5 63.500 (63.717)
Epoch: [3][2030/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.7090 (2.7927)	Prec@1 36.500 (33.513)	Prec@5 60.500 (63.721)
Epoch: [3][2040/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.8901 (2.7932)	Prec@1 31.500 (33.503)	Prec@5 60.500 (63.715)
Epoch: [3][2050/9018]	Time 0.728 (0.612)	Data 0.001 (0.002)	Loss 2.8605 (2.7934)	Prec@1 31.000 (33.500)	Prec@5 60.500 (63.710)
Epoch: [3][2060/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.7712 (2.7936)	Prec@1 37.500 (33.494)	Prec@5 65.500 (63.705)
Epoch: [3][2070/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.6834 (2.7935)	Prec@1 34.000 (33.496)	Prec@5 69.000 (63.709)
Epoch: [3][2080/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.9220 (2.7936)	Prec@1 32.500 (33.493)	Prec@5 61.500 (63.711)
Epoch: [3][2090/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.7162 (2.7936)	Prec@1 38.500 (33.498)	Prec@5 65.000 (63.710)
Epoch: [3][2100/9018]	Time 0.729 (0.612)	Data 0.001 (0.002)	Loss 2.9061 (2.7937)	Prec@1 33.000 (33.492)	Prec@5 61.000 (63.704)
Epoch: [3][2110/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.7372 (2.7933)	Prec@1 35.500 (33.503)	Prec@5 66.000 (63.715)
Epoch: [3][2120/9018]	Time 0.616 (0.612)	Data 0.001 (0.002)	Loss 2.6490 (2.7934)	Prec@1 34.000 (33.494)	Prec@5 64.500 (63.714)
Epoch: [3][2130/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.6246 (2.7932)	Prec@1 34.500 (33.502)	Prec@5 66.500 (63.717)
Epoch: [3][2140/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.8135 (2.7933)	Prec@1 36.500 (33.503)	Prec@5 65.500 (63.718)
Epoch: [3][2150/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.9926 (2.7936)	Prec@1 30.000 (33.493)	Prec@5 60.000 (63.707)
Epoch: [3][2160/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.7834 (2.7935)	Prec@1 34.000 (33.499)	Prec@5 64.000 (63.710)
Epoch: [3][2170/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 3.1455 (2.7935)	Prec@1 26.500 (33.493)	Prec@5 56.000 (63.710)
Epoch: [3][2180/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.9206 (2.7936)	Prec@1 31.500 (33.497)	Prec@5 59.000 (63.708)
Epoch: [3][2190/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 3.0861 (2.7936)	Prec@1 28.500 (33.497)	Prec@5 55.500 (63.710)
Epoch: [3][2200/9018]	Time 0.616 (0.612)	Data 0.001 (0.002)	Loss 2.7404 (2.7936)	Prec@1 35.000 (33.492)	Prec@5 63.500 (63.707)
Epoch: [3][2210/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.9293 (2.7935)	Prec@1 29.500 (33.493)	Prec@5 61.000 (63.701)
Epoch: [3][2220/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.7960 (2.7932)	Prec@1 32.500 (33.496)	Prec@5 63.500 (63.711)
Epoch: [3][2230/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.7066 (2.7931)	Prec@1 38.000 (33.501)	Prec@5 64.500 (63.714)
Epoch: [3][2240/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.8640 (2.7932)	Prec@1 31.500 (33.496)	Prec@5 61.000 (63.711)
Epoch: [3][2250/9018]	Time 0.593 (0.612)	Data 0.001 (0.002)	Loss 2.7956 (2.7931)	Prec@1 36.000 (33.499)	Prec@5 62.000 (63.709)
Epoch: [3][2260/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.6840 (2.7928)	Prec@1 34.000 (33.505)	Prec@5 65.000 (63.714)
Epoch: [3][2270/9018]	Time 0.592 (0.612)	Data 0.001 (0.002)	Loss 3.0887 (2.7928)	Prec@1 28.500 (33.505)	Prec@5 58.000 (63.713)
Epoch: [3][2280/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 3.0313 (2.7928)	Prec@1 30.500 (33.501)	Prec@5 59.500 (63.714)
Epoch: [3][2290/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.9881 (2.7931)	Prec@1 31.000 (33.497)	Prec@5 59.000 (63.705)
Epoch: [3][2300/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.9483 (2.7932)	Prec@1 29.000 (33.488)	Prec@5 60.500 (63.704)
Epoch: [3][2310/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.6158 (2.7930)	Prec@1 34.500 (33.490)	Prec@5 70.000 (63.712)
Epoch: [3][2320/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.8599 (2.7927)	Prec@1 28.500 (33.489)	Prec@5 63.500 (63.724)
Epoch: [3][2330/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.6722 (2.7926)	Prec@1 36.500 (33.488)	Prec@5 65.000 (63.727)
Epoch: [3][2340/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.7510 (2.7928)	Prec@1 32.000 (33.486)	Prec@5 63.000 (63.724)
Epoch: [3][2350/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6328 (2.7927)	Prec@1 34.000 (33.486)	Prec@5 67.000 (63.727)
Epoch: [3][2360/9018]	Time 0.616 (0.612)	Data 0.001 (0.002)	Loss 2.5600 (2.7926)	Prec@1 39.000 (33.490)	Prec@5 68.000 (63.722)
Epoch: [3][2370/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.7662 (2.7928)	Prec@1 37.000 (33.494)	Prec@5 62.500 (63.717)
Epoch: [3][2380/9018]	Time 0.737 (0.612)	Data 0.001 (0.002)	Loss 2.4072 (2.7927)	Prec@1 37.500 (33.499)	Prec@5 69.000 (63.718)
Epoch: [3][2390/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.6732 (2.7929)	Prec@1 36.500 (33.496)	Prec@5 66.000 (63.717)
Epoch: [3][2400/9018]	Time 0.613 (0.612)	Data 0.001 (0.002)	Loss 2.8790 (2.7931)	Prec@1 32.500 (33.493)	Prec@5 61.000 (63.709)
Epoch: [3][2410/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.6770 (2.7927)	Prec@1 34.500 (33.498)	Prec@5 69.000 (63.718)
Epoch: [3][2420/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.9065 (2.7927)	Prec@1 30.000 (33.500)	Prec@5 63.000 (63.718)
Epoch: [3][2430/9018]	Time 0.733 (0.612)	Data 0.001 (0.002)	Loss 2.5588 (2.7927)	Prec@1 36.000 (33.498)	Prec@5 70.500 (63.724)
Epoch: [3][2440/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.7430 (2.7928)	Prec@1 33.000 (33.497)	Prec@5 67.000 (63.722)
Epoch: [3][2450/9018]	Time 0.619 (0.612)	Data 0.001 (0.002)	Loss 3.0101 (2.7930)	Prec@1 27.500 (33.491)	Prec@5 60.500 (63.716)
Epoch: [3][2460/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.7699 (2.7929)	Prec@1 36.500 (33.489)	Prec@5 64.500 (63.723)
Epoch: [3][2470/9018]	Time 0.611 (0.612)	Data 0.001 (0.002)	Loss 2.8408 (2.7925)	Prec@1 30.000 (33.490)	Prec@5 63.500 (63.733)
Epoch: [3][2480/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.9210 (2.7923)	Prec@1 30.000 (33.496)	Prec@5 59.500 (63.735)
Epoch: [3][2490/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.7659 (2.7923)	Prec@1 35.000 (33.493)	Prec@5 63.500 (63.735)
Epoch: [3][2500/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.4153 (2.7923)	Prec@1 40.500 (33.496)	Prec@5 73.500 (63.738)
Epoch: [3][2510/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 3.1203 (2.7924)	Prec@1 29.000 (33.495)	Prec@5 51.500 (63.731)
Epoch: [3][2520/9018]	Time 0.613 (0.612)	Data 0.001 (0.002)	Loss 3.0069 (2.7924)	Prec@1 33.500 (33.494)	Prec@5 57.500 (63.728)
Epoch: [3][2530/9018]	Time 0.623 (0.612)	Data 0.001 (0.002)	Loss 2.7511 (2.7924)	Prec@1 38.000 (33.496)	Prec@5 65.500 (63.727)
Epoch: [3][2540/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 2.8604 (2.7924)	Prec@1 34.500 (33.495)	Prec@5 62.000 (63.730)
Epoch: [3][2550/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.6152 (2.7922)	Prec@1 36.500 (33.499)	Prec@5 67.000 (63.735)
Epoch: [3][2560/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 3.0424 (2.7921)	Prec@1 32.000 (33.500)	Prec@5 60.500 (63.742)
Epoch: [3][2570/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.8325 (2.7918)	Prec@1 34.500 (33.500)	Prec@5 62.000 (63.747)
Epoch: [3][2580/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.7972 (2.7917)	Prec@1 34.500 (33.500)	Prec@5 63.500 (63.752)
Epoch: [3][2590/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.7450 (2.7917)	Prec@1 32.500 (33.502)	Prec@5 63.000 (63.751)
Epoch: [3][2600/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.8909 (2.7916)	Prec@1 30.500 (33.503)	Prec@5 65.000 (63.753)
Epoch: [3][2610/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.7337 (2.7917)	Prec@1 29.500 (33.505)	Prec@5 68.500 (63.754)
Epoch: [3][2620/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.7118 (2.7917)	Prec@1 32.500 (33.503)	Prec@5 64.500 (63.755)
Epoch: [3][2630/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.6114 (2.7918)	Prec@1 41.500 (33.502)	Prec@5 68.500 (63.751)
Epoch: [3][2640/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 3.0215 (2.7918)	Prec@1 29.000 (33.500)	Prec@5 58.500 (63.747)
Epoch: [3][2650/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.8491 (2.7919)	Prec@1 30.000 (33.493)	Prec@5 58.500 (63.746)
Epoch: [3][2660/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.7363 (2.7919)	Prec@1 31.500 (33.491)	Prec@5 64.000 (63.746)
Epoch: [3][2670/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 2.7105 (2.7921)	Prec@1 40.000 (33.493)	Prec@5 61.000 (63.738)
Epoch: [3][2680/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.7225 (2.7919)	Prec@1 35.500 (33.496)	Prec@5 68.500 (63.741)
Epoch: [3][2690/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.8659 (2.7923)	Prec@1 35.500 (33.495)	Prec@5 61.500 (63.736)
Epoch: [3][2700/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 3.0492 (2.7924)	Prec@1 35.000 (33.497)	Prec@5 59.500 (63.734)
Epoch: [3][2710/9018]	Time 0.719 (0.612)	Data 0.001 (0.002)	Loss 2.6632 (2.7924)	Prec@1 36.000 (33.494)	Prec@5 65.000 (63.733)
Epoch: [3][2720/9018]	Time 0.623 (0.612)	Data 0.001 (0.002)	Loss 2.8235 (2.7926)	Prec@1 32.000 (33.485)	Prec@5 62.500 (63.727)
Epoch: [3][2730/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.7945 (2.7924)	Prec@1 34.000 (33.486)	Prec@5 62.000 (63.729)
Epoch: [3][2740/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.7531 (2.7922)	Prec@1 36.000 (33.487)	Prec@5 66.500 (63.735)
Epoch: [3][2750/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6401 (2.7920)	Prec@1 38.000 (33.484)	Prec@5 67.500 (63.740)
Epoch: [3][2760/9018]	Time 0.753 (0.612)	Data 0.001 (0.002)	Loss 2.8449 (2.7920)	Prec@1 31.000 (33.479)	Prec@5 62.500 (63.742)
Epoch: [3][2770/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 3.2048 (2.7922)	Prec@1 26.500 (33.479)	Prec@5 58.000 (63.741)
Epoch: [3][2780/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6485 (2.7922)	Prec@1 35.500 (33.481)	Prec@5 72.500 (63.741)
Epoch: [3][2790/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.7801 (2.7925)	Prec@1 28.500 (33.472)	Prec@5 66.000 (63.733)
Epoch: [3][2800/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.6330 (2.7922)	Prec@1 35.000 (33.479)	Prec@5 66.000 (63.735)
Epoch: [3][2810/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.7465 (2.7920)	Prec@1 31.000 (33.484)	Prec@5 67.000 (63.742)
Epoch: [3][2820/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.7343 (2.7919)	Prec@1 35.500 (33.490)	Prec@5 65.500 (63.744)
Epoch: [3][2830/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.6111 (2.7916)	Prec@1 36.000 (33.495)	Prec@5 67.500 (63.748)
Epoch: [3][2840/9018]	Time 0.614 (0.612)	Data 0.001 (0.002)	Loss 2.5895 (2.7917)	Prec@1 39.000 (33.498)	Prec@5 69.000 (63.748)
Epoch: [3][2850/9018]	Time 0.623 (0.612)	Data 0.001 (0.002)	Loss 2.7104 (2.7916)	Prec@1 33.000 (33.498)	Prec@5 64.000 (63.749)
Epoch: [3][2860/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.6468 (2.7914)	Prec@1 36.500 (33.506)	Prec@5 63.500 (63.755)
Epoch: [3][2870/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 3.0485 (2.7914)	Prec@1 28.000 (33.505)	Prec@5 57.500 (63.758)
Epoch: [3][2880/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6345 (2.7913)	Prec@1 36.500 (33.507)	Prec@5 69.000 (63.763)
Epoch: [3][2890/9018]	Time 0.617 (0.612)	Data 0.001 (0.002)	Loss 2.8774 (2.7915)	Prec@1 33.000 (33.504)	Prec@5 63.000 (63.759)
Epoch: [3][2900/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.9104 (2.7912)	Prec@1 38.000 (33.511)	Prec@5 61.500 (63.766)
Epoch: [3][2910/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.9830 (2.7913)	Prec@1 29.000 (33.508)	Prec@5 61.500 (63.765)
Epoch: [3][2920/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 3.0081 (2.7910)	Prec@1 31.000 (33.517)	Prec@5 58.000 (63.772)
Epoch: [3][2930/9018]	Time 0.626 (0.612)	Data 0.001 (0.002)	Loss 2.8456 (2.7910)	Prec@1 32.000 (33.520)	Prec@5 63.000 (63.769)
Epoch: [3][2940/9018]	Time 0.611 (0.612)	Data 0.001 (0.002)	Loss 2.8451 (2.7911)	Prec@1 30.500 (33.519)	Prec@5 61.000 (63.767)
Epoch: [3][2950/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.6243 (2.7911)	Prec@1 30.000 (33.516)	Prec@5 65.500 (63.764)
Epoch: [3][2960/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.9306 (2.7913)	Prec@1 32.000 (33.513)	Prec@5 63.500 (63.758)
Epoch: [3][2970/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.9062 (2.7915)	Prec@1 28.500 (33.508)	Prec@5 64.000 (63.757)
Epoch: [3][2980/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.7166 (2.7915)	Prec@1 36.000 (33.503)	Prec@5 63.000 (63.755)
Epoch: [3][2990/9018]	Time 0.617 (0.612)	Data 0.001 (0.002)	Loss 2.8863 (2.7916)	Prec@1 30.500 (33.503)	Prec@5 64.000 (63.752)
Epoch: [3][3000/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.7132 (2.7917)	Prec@1 31.500 (33.500)	Prec@5 63.500 (63.756)
Epoch: [3][3010/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.8741 (2.7915)	Prec@1 31.500 (33.501)	Prec@5 59.000 (63.757)
Epoch: [3][3020/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.8612 (2.7916)	Prec@1 33.000 (33.502)	Prec@5 63.000 (63.757)
Epoch: [3][3030/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.2854 (2.7914)	Prec@1 39.500 (33.503)	Prec@5 74.500 (63.758)
Epoch: [3][3040/9018]	Time 0.758 (0.612)	Data 0.001 (0.002)	Loss 2.6989 (2.7916)	Prec@1 38.000 (33.501)	Prec@5 64.500 (63.754)
Epoch: [3][3050/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.8701 (2.7915)	Prec@1 33.000 (33.502)	Prec@5 61.000 (63.757)
Epoch: [3][3060/9018]	Time 0.626 (0.612)	Data 0.001 (0.002)	Loss 2.7075 (2.7916)	Prec@1 34.000 (33.498)	Prec@5 63.500 (63.757)
Epoch: [3][3070/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.8624 (2.7914)	Prec@1 37.000 (33.504)	Prec@5 61.500 (63.756)
Epoch: [3][3080/9018]	Time 0.617 (0.612)	Data 0.001 (0.002)	Loss 2.7355 (2.7912)	Prec@1 37.000 (33.511)	Prec@5 64.000 (63.758)
Epoch: [3][3090/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5302 (2.7911)	Prec@1 36.000 (33.510)	Prec@5 69.500 (63.759)
Epoch: [3][3100/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.9408 (2.7911)	Prec@1 28.500 (33.511)	Prec@5 57.000 (63.758)
Epoch: [3][3110/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.8542 (2.7911)	Prec@1 34.000 (33.508)	Prec@5 61.000 (63.758)
Epoch: [3][3120/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.4979 (2.7910)	Prec@1 41.000 (33.514)	Prec@5 70.000 (63.760)
Epoch: [3][3130/9018]	Time 0.617 (0.612)	Data 0.001 (0.002)	Loss 2.8496 (2.7905)	Prec@1 29.000 (33.520)	Prec@5 60.500 (63.772)
Epoch: [3][3140/9018]	Time 0.613 (0.612)	Data 0.001 (0.002)	Loss 2.7356 (2.7906)	Prec@1 34.000 (33.517)	Prec@5 63.500 (63.768)
Epoch: [3][3150/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.8397 (2.7905)	Prec@1 32.000 (33.517)	Prec@5 65.500 (63.773)
Epoch: [3][3160/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.8427 (2.7903)	Prec@1 28.000 (33.518)	Prec@5 60.500 (63.777)
Epoch: [3][3170/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5438 (2.7902)	Prec@1 35.500 (33.520)	Prec@5 69.000 (63.781)
Epoch: [3][3180/9018]	Time 0.619 (0.612)	Data 0.001 (0.002)	Loss 2.7272 (2.7902)	Prec@1 34.000 (33.524)	Prec@5 62.000 (63.786)
Epoch: [3][3190/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.7803 (2.7903)	Prec@1 37.500 (33.524)	Prec@5 61.000 (63.788)
Epoch: [3][3200/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.7166 (2.7902)	Prec@1 33.000 (33.523)	Prec@5 66.500 (63.792)
Epoch: [3][3210/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 2.6797 (2.7899)	Prec@1 36.500 (33.528)	Prec@5 64.500 (63.795)
Epoch: [3][3220/9018]	Time 0.615 (0.612)	Data 0.001 (0.002)	Loss 2.5868 (2.7898)	Prec@1 37.500 (33.532)	Prec@5 68.000 (63.797)
Epoch: [3][3230/9018]	Time 0.614 (0.612)	Data 0.001 (0.002)	Loss 2.6853 (2.7898)	Prec@1 36.000 (33.534)	Prec@5 64.500 (63.794)
Epoch: [3][3240/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.9290 (2.7897)	Prec@1 34.000 (33.539)	Prec@5 61.500 (63.799)
Epoch: [3][3250/9018]	Time 0.617 (0.612)	Data 0.001 (0.002)	Loss 3.0400 (2.7899)	Prec@1 25.500 (33.534)	Prec@5 55.000 (63.792)
Epoch: [3][3260/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.7806 (2.7897)	Prec@1 31.000 (33.537)	Prec@5 68.000 (63.796)
Epoch: [3][3270/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.6631 (2.7897)	Prec@1 36.500 (33.541)	Prec@5 63.500 (63.794)
Epoch: [3][3280/9018]	Time 0.633 (0.612)	Data 0.001 (0.002)	Loss 2.7780 (2.7895)	Prec@1 33.500 (33.542)	Prec@5 67.000 (63.798)
Epoch: [3][3290/9018]	Time 0.615 (0.612)	Data 0.001 (0.002)	Loss 2.9375 (2.7894)	Prec@1 32.500 (33.548)	Prec@5 60.000 (63.799)
Epoch: [3][3300/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.7337 (2.7895)	Prec@1 32.500 (33.547)	Prec@5 66.500 (63.796)
Epoch: [3][3310/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.7275 (2.7895)	Prec@1 30.500 (33.548)	Prec@5 64.500 (63.796)
Epoch: [3][3320/9018]	Time 0.720 (0.612)	Data 0.001 (0.002)	Loss 2.6515 (2.7893)	Prec@1 38.500 (33.554)	Prec@5 67.000 (63.799)
Epoch: [3][3330/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.7481 (2.7893)	Prec@1 31.500 (33.551)	Prec@5 64.000 (63.801)
Epoch: [3][3340/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 3.0843 (2.7893)	Prec@1 33.500 (33.552)	Prec@5 61.500 (63.805)
Epoch: [3][3350/9018]	Time 0.622 (0.612)	Data 0.001 (0.002)	Loss 2.5886 (2.7893)	Prec@1 37.500 (33.551)	Prec@5 70.500 (63.806)
Epoch: [3][3360/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.7559 (2.7893)	Prec@1 36.500 (33.551)	Prec@5 65.500 (63.808)
Epoch: [3][3370/9018]	Time 0.732 (0.612)	Data 0.001 (0.002)	Loss 2.6665 (2.7892)	Prec@1 35.000 (33.552)	Prec@5 61.500 (63.807)
Epoch: [3][3380/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 2.8059 (2.7892)	Prec@1 35.500 (33.552)	Prec@5 63.500 (63.806)
Epoch: [3][3390/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.8759 (2.7890)	Prec@1 32.500 (33.555)	Prec@5 63.000 (63.809)
Epoch: [3][3400/9018]	Time 0.614 (0.612)	Data 0.001 (0.002)	Loss 2.7372 (2.7889)	Prec@1 34.500 (33.557)	Prec@5 66.000 (63.812)
Epoch: [3][3410/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.6803 (2.7889)	Prec@1 35.500 (33.553)	Prec@5 65.500 (63.815)
Epoch: [3][3420/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.5305 (2.7887)	Prec@1 36.500 (33.560)	Prec@5 69.000 (63.817)
Epoch: [3][3430/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.6463 (2.7887)	Prec@1 34.000 (33.560)	Prec@5 64.500 (63.817)
Epoch: [3][3440/9018]	Time 0.622 (0.612)	Data 0.001 (0.002)	Loss 2.6956 (2.7887)	Prec@1 33.000 (33.560)	Prec@5 63.000 (63.815)
Epoch: [3][3450/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.6874 (2.7886)	Prec@1 36.000 (33.559)	Prec@5 65.500 (63.817)
Epoch: [3][3460/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.6973 (2.7886)	Prec@1 36.000 (33.560)	Prec@5 68.000 (63.818)
Epoch: [3][3470/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.6352 (2.7886)	Prec@1 38.000 (33.560)	Prec@5 71.000 (63.821)
Epoch: [3][3480/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 3.0988 (2.7887)	Prec@1 23.500 (33.555)	Prec@5 59.000 (63.823)
Epoch: [3][3490/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 3.0146 (2.7886)	Prec@1 33.500 (33.559)	Prec@5 59.500 (63.825)
Epoch: [3][3500/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.7873 (2.7885)	Prec@1 34.500 (33.565)	Prec@5 64.500 (63.826)
Epoch: [3][3510/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.8290 (2.7886)	Prec@1 34.000 (33.564)	Prec@5 63.000 (63.827)
Epoch: [3][3520/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.8515 (2.7886)	Prec@1 34.500 (33.568)	Prec@5 59.500 (63.826)
Epoch: [3][3530/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 2.7922 (2.7886)	Prec@1 29.500 (33.566)	Prec@5 68.000 (63.826)
Epoch: [3][3540/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 2.8858 (2.7887)	Prec@1 29.500 (33.561)	Prec@5 63.500 (63.825)
Epoch: [3][3550/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.7936 (2.7885)	Prec@1 36.500 (33.560)	Prec@5 63.000 (63.828)
Epoch: [3][3560/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.9882 (2.7885)	Prec@1 28.000 (33.559)	Prec@5 62.000 (63.828)
Epoch: [3][3570/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7936 (2.7883)	Prec@1 32.000 (33.565)	Prec@5 63.000 (63.832)
Epoch: [3][3580/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.6278 (2.7883)	Prec@1 38.000 (33.563)	Prec@5 68.000 (63.830)
Epoch: [3][3590/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6773 (2.7883)	Prec@1 34.500 (33.566)	Prec@5 65.500 (63.829)
Epoch: [3][3600/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 3.0074 (2.7884)	Prec@1 33.000 (33.563)	Prec@5 59.500 (63.830)
Epoch: [3][3610/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7522 (2.7885)	Prec@1 34.000 (33.559)	Prec@5 62.500 (63.825)
Epoch: [3][3620/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6564 (2.7882)	Prec@1 31.500 (33.561)	Prec@5 68.500 (63.831)
Epoch: [3][3630/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 2.6651 (2.7881)	Prec@1 33.000 (33.563)	Prec@5 64.500 (63.834)
Epoch: [3][3640/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.6943 (2.7877)	Prec@1 36.000 (33.570)	Prec@5 64.500 (63.839)
Epoch: [3][3650/9018]	Time 0.733 (0.612)	Data 0.001 (0.001)	Loss 2.8426 (2.7879)	Prec@1 36.500 (33.565)	Prec@5 63.500 (63.835)
Epoch: [3][3660/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.6829 (2.7879)	Prec@1 35.000 (33.565)	Prec@5 69.000 (63.839)
Epoch: [3][3670/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7034 (2.7876)	Prec@1 36.500 (33.573)	Prec@5 69.000 (63.845)
Epoch: [3][3680/9018]	Time 0.614 (0.612)	Data 0.001 (0.001)	Loss 2.9076 (2.7877)	Prec@1 34.000 (33.573)	Prec@5 63.000 (63.847)
Epoch: [3][3690/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.9593 (2.7876)	Prec@1 32.000 (33.575)	Prec@5 60.500 (63.848)
Epoch: [3][3700/9018]	Time 0.729 (0.612)	Data 0.001 (0.001)	Loss 2.6477 (2.7876)	Prec@1 35.000 (33.577)	Prec@5 70.000 (63.853)
Epoch: [3][3710/9018]	Time 0.614 (0.612)	Data 0.001 (0.001)	Loss 2.6635 (2.7875)	Prec@1 32.500 (33.576)	Prec@5 66.500 (63.856)
Epoch: [3][3720/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.9453 (2.7874)	Prec@1 33.000 (33.577)	Prec@5 57.500 (63.859)
Epoch: [3][3730/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 2.7402 (2.7872)	Prec@1 35.000 (33.579)	Prec@5 65.500 (63.862)
Epoch: [3][3740/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.4990 (2.7872)	Prec@1 41.500 (33.580)	Prec@5 65.000 (63.864)
Epoch: [3][3750/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.9754 (2.7872)	Prec@1 31.500 (33.577)	Prec@5 59.000 (63.864)
Epoch: [3][3760/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 2.8702 (2.7873)	Prec@1 38.000 (33.578)	Prec@5 64.500 (63.862)
Epoch: [3][3770/9018]	Time 0.614 (0.612)	Data 0.001 (0.001)	Loss 2.7517 (2.7873)	Prec@1 37.000 (33.580)	Prec@5 65.500 (63.861)
Epoch: [3][3780/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.8971 (2.7872)	Prec@1 35.500 (33.583)	Prec@5 62.000 (63.864)
Epoch: [3][3790/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.8231 (2.7871)	Prec@1 35.500 (33.585)	Prec@5 63.500 (63.863)
Epoch: [3][3800/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.7069 (2.7869)	Prec@1 35.000 (33.592)	Prec@5 65.500 (63.865)
Epoch: [3][3810/9018]	Time 0.632 (0.612)	Data 0.001 (0.001)	Loss 2.8240 (2.7868)	Prec@1 30.500 (33.588)	Prec@5 61.000 (63.865)
Epoch: [3][3820/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7613 (2.7866)	Prec@1 33.000 (33.592)	Prec@5 62.000 (63.870)
Epoch: [3][3830/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7505 (2.7866)	Prec@1 36.000 (33.591)	Prec@5 69.000 (63.873)
Epoch: [3][3840/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.7559 (2.7865)	Prec@1 32.500 (33.592)	Prec@5 62.000 (63.873)
Epoch: [3][3850/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7567 (2.7865)	Prec@1 35.000 (33.592)	Prec@5 66.500 (63.873)
Epoch: [3][3860/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 2.8713 (2.7867)	Prec@1 30.500 (33.586)	Prec@5 64.000 (63.871)
Epoch: [3][3870/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.7581 (2.7865)	Prec@1 35.500 (33.593)	Prec@5 66.000 (63.876)
Epoch: [3][3880/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.8691 (2.7866)	Prec@1 29.500 (33.591)	Prec@5 61.500 (63.875)
Epoch: [3][3890/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.7441 (2.7865)	Prec@1 37.000 (33.593)	Prec@5 60.500 (63.875)
Epoch: [3][3900/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.7539 (2.7866)	Prec@1 31.500 (33.590)	Prec@5 67.000 (63.878)
Epoch: [3][3910/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.8685 (2.7865)	Prec@1 33.000 (33.590)	Prec@5 61.500 (63.878)
Epoch: [3][3920/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 3.1207 (2.7867)	Prec@1 25.000 (33.587)	Prec@5 58.500 (63.875)
Epoch: [3][3930/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8527 (2.7867)	Prec@1 31.000 (33.586)	Prec@5 61.500 (63.877)
Epoch: [3][3940/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.6496 (2.7865)	Prec@1 39.500 (33.589)	Prec@5 68.500 (63.886)
Epoch: [3][3950/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7441 (2.7866)	Prec@1 33.500 (33.587)	Prec@5 62.500 (63.884)
Epoch: [3][3960/9018]	Time 0.617 (0.612)	Data 0.001 (0.001)	Loss 2.8423 (2.7865)	Prec@1 32.000 (33.588)	Prec@5 63.000 (63.886)
Epoch: [3][3970/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7927 (2.7865)	Prec@1 37.500 (33.592)	Prec@5 62.000 (63.888)
Epoch: [3][3980/9018]	Time 0.739 (0.612)	Data 0.001 (0.001)	Loss 2.6647 (2.7863)	Prec@1 34.500 (33.594)	Prec@5 63.500 (63.891)
Epoch: [3][3990/9018]	Time 0.630 (0.612)	Data 0.001 (0.001)	Loss 2.9529 (2.7863)	Prec@1 35.000 (33.596)	Prec@5 62.000 (63.892)
Epoch: [3][4000/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.7473 (2.7863)	Prec@1 34.000 (33.596)	Prec@5 63.000 (63.891)
Epoch: [3][4010/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.4576 (2.7861)	Prec@1 38.500 (33.599)	Prec@5 67.500 (63.893)
Epoch: [3][4020/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.5670 (2.7862)	Prec@1 36.500 (33.593)	Prec@5 71.500 (63.894)
Epoch: [3][4030/9018]	Time 0.752 (0.612)	Data 0.001 (0.001)	Loss 2.6529 (2.7862)	Prec@1 32.500 (33.590)	Prec@5 67.000 (63.895)
Epoch: [3][4040/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 3.1179 (2.7863)	Prec@1 26.000 (33.590)	Prec@5 57.000 (63.891)
Epoch: [3][4050/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5912 (2.7863)	Prec@1 39.000 (33.587)	Prec@5 63.500 (63.889)
Epoch: [3][4060/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6214 (2.7863)	Prec@1 34.000 (33.587)	Prec@5 68.000 (63.891)
Epoch: [3][4070/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8605 (2.7863)	Prec@1 35.000 (33.586)	Prec@5 60.000 (63.891)
Epoch: [3][4080/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 3.0507 (2.7863)	Prec@1 26.000 (33.584)	Prec@5 58.000 (63.890)
Epoch: [3][4090/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 2.8911 (2.7864)	Prec@1 32.000 (33.582)	Prec@5 63.500 (63.892)
Epoch: [3][4100/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.6478 (2.7863)	Prec@1 35.500 (33.579)	Prec@5 67.000 (63.893)
Epoch: [3][4110/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.7687 (2.7862)	Prec@1 33.500 (33.581)	Prec@5 63.500 (63.894)
Epoch: [3][4120/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 3.0715 (2.7863)	Prec@1 32.500 (33.580)	Prec@5 60.500 (63.891)
Epoch: [3][4130/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.8820 (2.7865)	Prec@1 39.000 (33.579)	Prec@5 64.000 (63.887)
Epoch: [3][4140/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7527 (2.7865)	Prec@1 35.500 (33.580)	Prec@5 65.000 (63.888)
Epoch: [3][4150/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7884 (2.7864)	Prec@1 34.000 (33.584)	Prec@5 65.500 (63.894)
Epoch: [3][4160/9018]	Time 0.631 (0.612)	Data 0.001 (0.001)	Loss 2.7240 (2.7864)	Prec@1 33.000 (33.584)	Prec@5 62.500 (63.892)
Epoch: [3][4170/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.9170 (2.7864)	Prec@1 29.500 (33.583)	Prec@5 63.000 (63.892)
Epoch: [3][4180/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.9609 (2.7867)	Prec@1 33.000 (33.576)	Prec@5 59.000 (63.887)
Epoch: [3][4190/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.7913 (2.7868)	Prec@1 30.500 (33.573)	Prec@5 63.000 (63.882)
Epoch: [3][4200/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7379 (2.7868)	Prec@1 38.000 (33.575)	Prec@5 66.500 (63.881)
Epoch: [3][4210/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.8563 (2.7869)	Prec@1 35.000 (33.570)	Prec@5 59.000 (63.878)
Epoch: [3][4220/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5785 (2.7869)	Prec@1 36.500 (33.570)	Prec@5 68.500 (63.878)
Epoch: [3][4230/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.8858 (2.7869)	Prec@1 31.500 (33.570)	Prec@5 63.000 (63.879)
Epoch: [3][4240/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.6983 (2.7869)	Prec@1 30.000 (33.570)	Prec@5 66.500 (63.880)
Epoch: [3][4250/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.8465 (2.7870)	Prec@1 31.500 (33.568)	Prec@5 63.000 (63.878)
Epoch: [3][4260/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.8447 (2.7868)	Prec@1 34.000 (33.572)	Prec@5 64.500 (63.883)
Epoch: [3][4270/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 3.1098 (2.7869)	Prec@1 25.500 (33.569)	Prec@5 57.000 (63.883)
Epoch: [3][4280/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 2.8880 (2.7868)	Prec@1 31.500 (33.571)	Prec@5 60.000 (63.885)
Epoch: [3][4290/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.7770 (2.7867)	Prec@1 35.000 (33.574)	Prec@5 64.500 (63.885)
Epoch: [3][4300/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6250 (2.7865)	Prec@1 37.500 (33.575)	Prec@5 67.000 (63.890)
Epoch: [3][4310/9018]	Time 0.727 (0.612)	Data 0.001 (0.001)	Loss 2.8026 (2.7865)	Prec@1 37.000 (33.575)	Prec@5 61.500 (63.889)
Epoch: [3][4320/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.7589 (2.7867)	Prec@1 36.000 (33.574)	Prec@5 63.000 (63.883)
Epoch: [3][4330/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.6584 (2.7868)	Prec@1 37.000 (33.573)	Prec@5 69.000 (63.885)
Epoch: [3][4340/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.5761 (2.7868)	Prec@1 37.500 (33.575)	Prec@5 67.500 (63.886)
Epoch: [3][4350/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.8574 (2.7869)	Prec@1 33.500 (33.575)	Prec@5 63.500 (63.883)
Epoch: [3][4360/9018]	Time 0.738 (0.612)	Data 0.001 (0.001)	Loss 2.8776 (2.7870)	Prec@1 32.000 (33.574)	Prec@5 64.000 (63.883)
Epoch: [3][4370/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.6016 (2.7869)	Prec@1 36.500 (33.573)	Prec@5 64.500 (63.884)
Epoch: [3][4380/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.9776 (2.7868)	Prec@1 28.000 (33.575)	Prec@5 56.000 (63.886)
Epoch: [3][4390/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 2.7824 (2.7869)	Prec@1 34.500 (33.573)	Prec@5 65.000 (63.887)
Epoch: [3][4400/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6147 (2.7868)	Prec@1 35.000 (33.571)	Prec@5 65.500 (63.886)
Epoch: [3][4410/9018]	Time 0.635 (0.612)	Data 0.001 (0.001)	Loss 2.8427 (2.7868)	Prec@1 32.500 (33.571)	Prec@5 63.000 (63.889)
Epoch: [3][4420/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.8995 (2.7868)	Prec@1 34.500 (33.568)	Prec@5 60.500 (63.888)
Epoch: [3][4430/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7289 (2.7866)	Prec@1 34.500 (33.575)	Prec@5 64.000 (63.893)
Epoch: [3][4440/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.8849 (2.7864)	Prec@1 29.500 (33.579)	Prec@5 60.000 (63.897)
Epoch: [3][4450/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 2.7380 (2.7864)	Prec@1 28.500 (33.577)	Prec@5 64.000 (63.898)
Epoch: [3][4460/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.5974 (2.7863)	Prec@1 34.000 (33.579)	Prec@5 69.000 (63.897)
Epoch: [3][4470/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 2.8731 (2.7863)	Prec@1 30.500 (33.581)	Prec@5 64.500 (63.900)
Epoch: [3][4480/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.8346 (2.7862)	Prec@1 35.000 (33.584)	Prec@5 66.000 (63.901)
Epoch: [3][4490/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5526 (2.7861)	Prec@1 38.000 (33.586)	Prec@5 69.000 (63.903)
Epoch: [3][4500/9018]	Time 0.621 (0.612)	Data 0.001 (0.001)	Loss 2.7665 (2.7861)	Prec@1 32.500 (33.589)	Prec@5 66.000 (63.905)
Epoch: [3][4510/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.5476 (2.7858)	Prec@1 37.000 (33.593)	Prec@5 67.500 (63.909)
Epoch: [3][4520/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 3.0136 (2.7859)	Prec@1 30.000 (33.594)	Prec@5 53.000 (63.908)
Epoch: [3][4530/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.7233 (2.7858)	Prec@1 32.500 (33.595)	Prec@5 66.500 (63.910)
Epoch: [3][4540/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.8121 (2.7857)	Prec@1 33.000 (33.599)	Prec@5 65.000 (63.912)
Epoch: [3][4550/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6350 (2.7856)	Prec@1 33.000 (33.601)	Prec@5 65.500 (63.914)
Epoch: [3][4560/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.7314 (2.7857)	Prec@1 35.500 (33.598)	Prec@5 61.500 (63.909)
Epoch: [3][4570/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.7285 (2.7857)	Prec@1 32.000 (33.598)	Prec@5 66.000 (63.911)
Epoch: [3][4580/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6351 (2.7855)	Prec@1 36.000 (33.602)	Prec@5 69.500 (63.916)
Epoch: [3][4590/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8855 (2.7856)	Prec@1 33.500 (33.604)	Prec@5 63.500 (63.916)
Epoch: [3][4600/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.8213 (2.7856)	Prec@1 32.500 (33.605)	Prec@5 61.500 (63.914)
Epoch: [3][4610/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.9321 (2.7856)	Prec@1 31.000 (33.605)	Prec@5 62.500 (63.915)
Epoch: [3][4620/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7802 (2.7854)	Prec@1 34.500 (33.609)	Prec@5 64.500 (63.919)
Epoch: [3][4630/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.7279 (2.7855)	Prec@1 31.000 (33.608)	Prec@5 63.500 (63.919)
Epoch: [3][4640/9018]	Time 0.726 (0.612)	Data 0.001 (0.001)	Loss 2.6573 (2.7855)	Prec@1 35.500 (33.607)	Prec@5 64.500 (63.918)
Epoch: [3][4650/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 2.8875 (2.7855)	Prec@1 32.000 (33.607)	Prec@5 61.500 (63.919)
Epoch: [3][4660/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.9195 (2.7854)	Prec@1 33.500 (33.607)	Prec@5 60.500 (63.920)
Epoch: [3][4670/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.8842 (2.7854)	Prec@1 35.500 (33.611)	Prec@5 62.000 (63.922)
Epoch: [3][4680/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.4922 (2.7854)	Prec@1 40.500 (33.608)	Prec@5 65.500 (63.921)
Epoch: [3][4690/9018]	Time 0.731 (0.612)	Data 0.001 (0.001)	Loss 2.7345 (2.7853)	Prec@1 32.500 (33.607)	Prec@5 63.000 (63.924)
Epoch: [3][4700/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8443 (2.7853)	Prec@1 33.000 (33.607)	Prec@5 60.500 (63.921)
Epoch: [3][4710/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.6111 (2.7851)	Prec@1 38.500 (33.610)	Prec@5 66.500 (63.927)
Epoch: [3][4720/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7695 (2.7850)	Prec@1 33.500 (33.612)	Prec@5 66.000 (63.929)
Epoch: [3][4730/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6695 (2.7850)	Prec@1 38.000 (33.611)	Prec@5 67.500 (63.931)
Epoch: [3][4740/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.6359 (2.7849)	Prec@1 36.000 (33.615)	Prec@5 62.500 (63.933)
Epoch: [3][4750/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.9532 (2.7850)	Prec@1 30.500 (33.615)	Prec@5 58.000 (63.929)
Epoch: [3][4760/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.6827 (2.7849)	Prec@1 33.000 (33.616)	Prec@5 67.000 (63.928)
Epoch: [3][4770/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.9235 (2.7849)	Prec@1 33.000 (33.616)	Prec@5 57.500 (63.928)
Epoch: [3][4780/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.8290 (2.7850)	Prec@1 32.000 (33.617)	Prec@5 64.000 (63.926)
Epoch: [3][4790/9018]	Time 0.634 (0.612)	Data 0.001 (0.001)	Loss 2.4470 (2.7849)	Prec@1 39.500 (33.619)	Prec@5 72.000 (63.928)
Epoch: [3][4800/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.9388 (2.7850)	Prec@1 33.000 (33.618)	Prec@5 61.500 (63.927)
Epoch: [3][4810/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 3.0025 (2.7850)	Prec@1 31.000 (33.615)	Prec@5 59.500 (63.928)
Epoch: [3][4820/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.6988 (2.7849)	Prec@1 32.500 (33.615)	Prec@5 65.500 (63.928)
Epoch: [3][4830/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 2.4150 (2.7848)	Prec@1 43.000 (33.621)	Prec@5 69.000 (63.931)
Epoch: [3][4840/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.8092 (2.7848)	Prec@1 34.500 (33.621)	Prec@5 67.000 (63.934)
Epoch: [3][4850/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5322 (2.7847)	Prec@1 34.000 (33.622)	Prec@5 69.500 (63.934)
Epoch: [3][4860/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.6970 (2.7847)	Prec@1 40.000 (33.624)	Prec@5 66.000 (63.934)
Epoch: [3][4870/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7596 (2.7847)	Prec@1 31.000 (33.625)	Prec@5 63.000 (63.934)
Epoch: [3][4880/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.9004 (2.7846)	Prec@1 36.000 (33.626)	Prec@5 62.500 (63.936)
Epoch: [3][4890/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 2.6376 (2.7846)	Prec@1 35.000 (33.626)	Prec@5 67.500 (63.937)
Epoch: [3][4900/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7646 (2.7845)	Prec@1 34.500 (33.629)	Prec@5 70.000 (63.941)
Epoch: [3][4910/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6401 (2.7843)	Prec@1 36.000 (33.631)	Prec@5 67.000 (63.943)
Epoch: [3][4920/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.4549 (2.7843)	Prec@1 39.500 (33.633)	Prec@5 68.000 (63.942)
Epoch: [3][4930/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.6375 (2.7844)	Prec@1 37.500 (33.629)	Prec@5 70.000 (63.942)
Epoch: [3][4940/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.6978 (2.7842)	Prec@1 37.000 (33.628)	Prec@5 65.000 (63.943)
Epoch: [3][4950/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.8275 (2.7843)	Prec@1 32.000 (33.626)	Prec@5 62.000 (63.941)
Epoch: [3][4960/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 2.6347 (2.7842)	Prec@1 37.500 (33.628)	Prec@5 69.500 (63.945)
Epoch: [3][4970/9018]	Time 0.742 (0.612)	Data 0.001 (0.001)	Loss 3.0126 (2.7841)	Prec@1 26.500 (33.630)	Prec@5 63.500 (63.946)
Epoch: [3][4980/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7634 (2.7842)	Prec@1 38.000 (33.632)	Prec@5 63.500 (63.943)
Epoch: [3][4990/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 3.0246 (2.7842)	Prec@1 35.000 (33.634)	Prec@5 63.000 (63.943)
Epoch: [3][5000/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7786 (2.7842)	Prec@1 36.500 (33.633)	Prec@5 66.500 (63.940)
Epoch: [3][5010/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.9406 (2.7845)	Prec@1 35.000 (33.631)	Prec@5 61.000 (63.936)
Epoch: [3][5020/9018]	Time 0.730 (0.612)	Data 0.001 (0.001)	Loss 2.8032 (2.7846)	Prec@1 34.000 (33.630)	Prec@5 62.500 (63.933)
Epoch: [3][5030/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.7401 (2.7845)	Prec@1 33.000 (33.631)	Prec@5 66.500 (63.933)
Epoch: [3][5040/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.6024 (2.7844)	Prec@1 34.000 (33.633)	Prec@5 69.000 (63.937)
Epoch: [3][5050/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.8695 (2.7843)	Prec@1 26.500 (33.632)	Prec@5 60.500 (63.939)
Epoch: [3][5060/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.8203 (2.7842)	Prec@1 34.000 (33.632)	Prec@5 65.000 (63.942)
Epoch: [3][5070/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7228 (2.7842)	Prec@1 35.000 (33.632)	Prec@5 68.000 (63.943)
Epoch: [3][5080/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.7241 (2.7843)	Prec@1 32.500 (33.628)	Prec@5 64.000 (63.941)
Epoch: [3][5090/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 2.6962 (2.7844)	Prec@1 33.500 (33.627)	Prec@5 66.000 (63.940)
Epoch: [3][5100/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.8139 (2.7844)	Prec@1 36.500 (33.628)	Prec@5 62.000 (63.941)
Epoch: [3][5110/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.6901 (2.7844)	Prec@1 36.500 (33.629)	Prec@5 65.500 (63.938)
Epoch: [3][5120/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.7300 (2.7844)	Prec@1 35.000 (33.630)	Prec@5 65.000 (63.940)
Epoch: [3][5130/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.8049 (2.7843)	Prec@1 33.500 (33.630)	Prec@5 62.000 (63.941)
Epoch: [3][5140/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.6016 (2.7843)	Prec@1 39.000 (33.631)	Prec@5 67.000 (63.942)
Epoch: [3][5150/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.8980 (2.7844)	Prec@1 31.000 (33.629)	Prec@5 61.500 (63.940)
Epoch: [3][5160/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.9714 (2.7844)	Prec@1 27.500 (33.627)	Prec@5 59.000 (63.937)
Epoch: [3][5170/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.7040 (2.7844)	Prec@1 32.500 (33.628)	Prec@5 65.500 (63.938)
Epoch: [3][5180/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 2.8158 (2.7843)	Prec@1 32.500 (33.630)	Prec@5 65.500 (63.941)
Epoch: [3][5190/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 3.0964 (2.7843)	Prec@1 30.000 (33.628)	Prec@5 54.000 (63.941)
Epoch: [3][5200/9018]	Time 0.621 (0.612)	Data 0.001 (0.001)	Loss 2.4912 (2.7844)	Prec@1 39.000 (33.626)	Prec@5 72.000 (63.938)
Epoch: [3][5210/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8653 (2.7844)	Prec@1 36.000 (33.625)	Prec@5 62.500 (63.937)
Epoch: [3][5220/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.4857 (2.7843)	Prec@1 36.000 (33.629)	Prec@5 71.000 (63.939)
Epoch: [3][5230/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.8136 (2.7843)	Prec@1 29.500 (33.627)	Prec@5 64.500 (63.939)
Epoch: [3][5240/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 2.9309 (2.7842)	Prec@1 27.000 (33.629)	Prec@5 63.000 (63.941)
Epoch: [3][5250/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.7283 (2.7843)	Prec@1 34.500 (33.629)	Prec@5 66.000 (63.940)
Epoch: [3][5260/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.7255 (2.7844)	Prec@1 34.500 (33.627)	Prec@5 64.500 (63.935)
Epoch: [3][5270/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6897 (2.7843)	Prec@1 36.500 (33.631)	Prec@5 62.500 (63.934)
Epoch: [3][5280/9018]	Time 0.629 (0.612)	Data 0.005 (0.001)	Loss 2.7495 (2.7843)	Prec@1 34.000 (33.634)	Prec@5 66.000 (63.934)
Epoch: [3][5290/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.8165 (2.7844)	Prec@1 32.500 (33.631)	Prec@5 65.500 (63.930)
Epoch: [3][5300/9018]	Time 0.754 (0.612)	Data 0.001 (0.001)	Loss 3.0954 (2.7845)	Prec@1 28.000 (33.629)	Prec@5 60.500 (63.930)
Epoch: [3][5310/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.8836 (2.7845)	Prec@1 33.500 (33.630)	Prec@5 62.500 (63.930)
Epoch: [3][5320/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.8328 (2.7846)	Prec@1 32.500 (33.631)	Prec@5 63.000 (63.928)
Epoch: [3][5330/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6675 (2.7845)	Prec@1 38.000 (33.629)	Prec@5 65.000 (63.929)
Epoch: [3][5340/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7160 (2.7845)	Prec@1 32.000 (33.632)	Prec@5 67.000 (63.929)
Epoch: [3][5350/9018]	Time 0.725 (0.612)	Data 0.001 (0.001)	Loss 2.6666 (2.7844)	Prec@1 35.500 (33.632)	Prec@5 65.000 (63.930)
Epoch: [3][5360/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.8960 (2.7843)	Prec@1 35.500 (33.636)	Prec@5 63.500 (63.934)
Epoch: [3][5370/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.6852 (2.7842)	Prec@1 33.000 (33.636)	Prec@5 66.500 (63.935)
Epoch: [3][5380/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.8588 (2.7842)	Prec@1 30.500 (33.637)	Prec@5 62.000 (63.935)
Epoch: [3][5390/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.6545 (2.7843)	Prec@1 37.500 (33.636)	Prec@5 63.500 (63.933)
Epoch: [3][5400/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.5952 (2.7841)	Prec@1 36.000 (33.639)	Prec@5 66.000 (63.936)
Epoch: [3][5410/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6797 (2.7841)	Prec@1 34.000 (33.641)	Prec@5 68.000 (63.938)
Epoch: [3][5420/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.8155 (2.7841)	Prec@1 33.500 (33.641)	Prec@5 65.500 (63.939)
Epoch: [3][5430/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.8990 (2.7840)	Prec@1 28.500 (33.640)	Prec@5 62.500 (63.940)
Epoch: [3][5440/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7561 (2.7840)	Prec@1 39.000 (33.642)	Prec@5 66.000 (63.942)
Epoch: [3][5450/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.7474 (2.7839)	Prec@1 34.000 (33.645)	Prec@5 65.000 (63.944)
Epoch: [3][5460/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 3.0174 (2.7839)	Prec@1 27.500 (33.644)	Prec@5 58.500 (63.945)
Epoch: [3][5470/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 2.8694 (2.7839)	Prec@1 32.000 (33.643)	Prec@5 64.500 (63.946)
Epoch: [3][5480/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.6632 (2.7839)	Prec@1 34.000 (33.644)	Prec@5 63.500 (63.949)
Epoch: [3][5490/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 3.1152 (2.7839)	Prec@1 26.500 (33.644)	Prec@5 53.000 (63.946)
Epoch: [3][5500/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.9432 (2.7838)	Prec@1 32.000 (33.646)	Prec@5 60.500 (63.945)
Epoch: [3][5510/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.8492 (2.7839)	Prec@1 31.500 (33.646)	Prec@5 62.000 (63.944)
Epoch: [3][5520/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.6905 (2.7840)	Prec@1 37.500 (33.645)	Prec@5 67.000 (63.942)
Epoch: [3][5530/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 3.0321 (2.7840)	Prec@1 29.500 (33.643)	Prec@5 57.500 (63.941)
Epoch: [3][5540/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6992 (2.7840)	Prec@1 33.000 (33.644)	Prec@5 64.000 (63.938)
Epoch: [3][5550/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.6369 (2.7840)	Prec@1 35.000 (33.644)	Prec@5 64.000 (63.938)
Epoch: [3][5560/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5030 (2.7839)	Prec@1 41.000 (33.646)	Prec@5 70.000 (63.941)
Epoch: [3][5570/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.7039 (2.7840)	Prec@1 40.500 (33.643)	Prec@5 66.000 (63.940)
Epoch: [3][5580/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8976 (2.7840)	Prec@1 32.500 (33.643)	Prec@5 62.500 (63.941)
Epoch: [3][5590/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 3.0176 (2.7840)	Prec@1 30.500 (33.642)	Prec@5 57.500 (63.940)
Epoch: [3][5600/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.7831 (2.7841)	Prec@1 31.500 (33.641)	Prec@5 63.000 (63.939)
Epoch: [3][5610/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.5867 (2.7840)	Prec@1 32.500 (33.639)	Prec@5 70.500 (63.939)
Epoch: [3][5620/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.6740 (2.7840)	Prec@1 37.500 (33.641)	Prec@5 65.000 (63.940)
Epoch: [3][5630/9018]	Time 0.741 (0.612)	Data 0.001 (0.001)	Loss 3.0184 (2.7840)	Prec@1 31.000 (33.643)	Prec@5 60.500 (63.942)
Epoch: [3][5640/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.6401 (2.7839)	Prec@1 33.000 (33.644)	Prec@5 64.500 (63.940)
Epoch: [3][5650/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 2.6064 (2.7838)	Prec@1 41.500 (33.645)	Prec@5 67.500 (63.944)
Epoch: [3][5660/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.8240 (2.7838)	Prec@1 36.000 (33.647)	Prec@5 61.500 (63.945)
Epoch: [3][5670/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 3.0772 (2.7837)	Prec@1 29.000 (33.648)	Prec@5 61.000 (63.946)
Epoch: [3][5680/9018]	Time 0.736 (0.612)	Data 0.001 (0.001)	Loss 2.6742 (2.7837)	Prec@1 37.000 (33.648)	Prec@5 63.500 (63.947)
Epoch: [3][5690/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.7909 (2.7838)	Prec@1 32.500 (33.647)	Prec@5 65.000 (63.944)
Epoch: [3][5700/9018]	Time 0.637 (0.612)	Data 0.001 (0.001)	Loss 2.8449 (2.7838)	Prec@1 36.500 (33.646)	Prec@5 64.000 (63.945)
Epoch: [3][5710/9018]	Time 0.602 (0.612)	Data 0.002 (0.001)	Loss 2.7778 (2.7837)	Prec@1 32.500 (33.644)	Prec@5 62.500 (63.947)
Epoch: [3][5720/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 2.6715 (2.7837)	Prec@1 38.000 (33.644)	Prec@5 63.500 (63.946)
Epoch: [3][5730/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 3.0738 (2.7838)	Prec@1 31.500 (33.645)	Prec@5 55.000 (63.943)
Epoch: [3][5740/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.9594 (2.7837)	Prec@1 32.000 (33.648)	Prec@5 62.000 (63.941)
Epoch: [3][5750/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.7584 (2.7838)	Prec@1 32.000 (33.647)	Prec@5 66.500 (63.940)
Epoch: [3][5760/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.8242 (2.7837)	Prec@1 32.500 (33.648)	Prec@5 63.000 (63.941)
Epoch: [3][5770/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.6649 (2.7838)	Prec@1 36.500 (33.649)	Prec@5 68.500 (63.941)
Epoch: [3][5780/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7085 (2.7837)	Prec@1 35.000 (33.648)	Prec@5 66.500 (63.940)
Epoch: [3][5790/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.8724 (2.7838)	Prec@1 32.500 (33.648)	Prec@5 62.000 (63.938)
Epoch: [3][5800/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.9486 (2.7839)	Prec@1 33.000 (33.647)	Prec@5 61.000 (63.937)
Epoch: [3][5810/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 3.0124 (2.7839)	Prec@1 33.500 (33.646)	Prec@5 63.000 (63.937)
Epoch: [3][5820/9018]	Time 0.632 (0.612)	Data 0.001 (0.001)	Loss 2.7305 (2.7838)	Prec@1 35.000 (33.650)	Prec@5 64.000 (63.941)
Epoch: [3][5830/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.9668 (2.7838)	Prec@1 29.500 (33.649)	Prec@5 60.000 (63.939)
Epoch: [3][5840/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7723 (2.7838)	Prec@1 29.000 (33.650)	Prec@5 62.000 (63.939)
Epoch: [3][5850/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7211 (2.7837)	Prec@1 32.500 (33.651)	Prec@5 67.500 (63.940)
Epoch: [3][5860/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.7370 (2.7838)	Prec@1 35.500 (33.649)	Prec@5 65.500 (63.939)
Epoch: [3][5870/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.8173 (2.7838)	Prec@1 33.500 (33.650)	Prec@5 63.500 (63.939)
Epoch: [3][5880/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.8389 (2.7837)	Prec@1 31.000 (33.651)	Prec@5 60.000 (63.941)
Epoch: [3][5890/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.8645 (2.7838)	Prec@1 30.000 (33.649)	Prec@5 64.500 (63.939)
Epoch: [3][5900/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8439 (2.7838)	Prec@1 32.500 (33.649)	Prec@5 66.500 (63.938)
Epoch: [3][5910/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.8926 (2.7838)	Prec@1 27.000 (33.647)	Prec@5 61.500 (63.941)
Epoch: [3][5920/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.9469 (2.7839)	Prec@1 33.000 (33.647)	Prec@5 58.500 (63.940)
Epoch: [3][5930/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6355 (2.7839)	Prec@1 38.000 (33.647)	Prec@5 66.500 (63.940)
Epoch: [3][5940/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.5786 (2.7839)	Prec@1 34.000 (33.646)	Prec@5 68.500 (63.939)
Epoch: [3][5950/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 2.6128 (2.7839)	Prec@1 39.500 (33.648)	Prec@5 69.000 (63.940)
Epoch: [3][5960/9018]	Time 0.741 (0.612)	Data 0.001 (0.001)	Loss 2.8538 (2.7839)	Prec@1 22.500 (33.646)	Prec@5 64.000 (63.939)
Epoch: [3][5970/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.8588 (2.7839)	Prec@1 29.000 (33.644)	Prec@5 61.000 (63.940)
Epoch: [3][5980/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 2.5603 (2.7837)	Prec@1 38.000 (33.648)	Prec@5 68.000 (63.943)
Epoch: [3][5990/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5004 (2.7836)	Prec@1 40.000 (33.649)	Prec@5 70.000 (63.946)
Epoch: [3][6000/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7273 (2.7835)	Prec@1 37.500 (33.650)	Prec@5 65.500 (63.947)
Epoch: [3][6010/9018]	Time 0.727 (0.612)	Data 0.001 (0.001)	Loss 2.6950 (2.7835)	Prec@1 38.500 (33.650)	Prec@5 69.000 (63.947)
Epoch: [3][6020/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.6704 (2.7835)	Prec@1 34.500 (33.649)	Prec@5 70.000 (63.948)
Epoch: [3][6030/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.8451 (2.7834)	Prec@1 35.000 (33.650)	Prec@5 61.000 (63.951)
Epoch: [3][6040/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 2.9631 (2.7834)	Prec@1 30.000 (33.650)	Prec@5 60.500 (63.950)
Epoch: [3][6050/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7824 (2.7833)	Prec@1 34.500 (33.652)	Prec@5 64.000 (63.952)
Epoch: [3][6060/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.7835 (2.7832)	Prec@1 30.500 (33.653)	Prec@5 66.500 (63.954)
Epoch: [3][6070/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.7627 (2.7831)	Prec@1 37.500 (33.656)	Prec@5 67.500 (63.954)
Epoch: [3][6080/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.8251 (2.7830)	Prec@1 31.500 (33.659)	Prec@5 66.000 (63.957)
Epoch: [3][6090/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7453 (2.7829)	Prec@1 34.500 (33.659)	Prec@5 61.500 (63.958)
Epoch: [3][6100/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.8103 (2.7829)	Prec@1 29.500 (33.659)	Prec@5 64.000 (63.958)
Epoch: [3][6110/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.7154 (2.7830)	Prec@1 36.500 (33.659)	Prec@5 63.000 (63.955)
Epoch: [3][6120/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.8002 (2.7830)	Prec@1 34.500 (33.658)	Prec@5 63.500 (63.956)
Epoch: [3][6130/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.5234 (2.7828)	Prec@1 39.500 (33.661)	Prec@5 69.500 (63.958)
Epoch: [3][6140/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.5080 (2.7827)	Prec@1 37.500 (33.663)	Prec@5 70.500 (63.961)
Epoch: [3][6150/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 2.8874 (2.7826)	Prec@1 28.000 (33.666)	Prec@5 63.000 (63.963)
Epoch: [3][6160/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.9568 (2.7828)	Prec@1 26.500 (33.662)	Prec@5 61.000 (63.958)
Epoch: [3][6170/9018]	Time 0.634 (0.612)	Data 0.001 (0.001)	Loss 2.7258 (2.7828)	Prec@1 38.500 (33.664)	Prec@5 64.500 (63.959)
Epoch: [3][6180/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.7090 (2.7826)	Prec@1 33.000 (33.666)	Prec@5 66.000 (63.963)
Epoch: [3][6190/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 2.5823 (2.7826)	Prec@1 42.000 (33.667)	Prec@5 67.500 (63.963)
Epoch: [3][6200/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.8426 (2.7825)	Prec@1 34.000 (33.668)	Prec@5 60.500 (63.965)
Epoch: [3][6210/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.7362 (2.7825)	Prec@1 36.000 (33.669)	Prec@5 64.000 (63.964)
Epoch: [3][6220/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 2.9792 (2.7826)	Prec@1 28.500 (33.667)	Prec@5 60.000 (63.963)
Epoch: [3][6230/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5269 (2.7825)	Prec@1 34.500 (33.667)	Prec@5 70.500 (63.965)
Epoch: [3][6240/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7906 (2.7825)	Prec@1 32.500 (33.666)	Prec@5 60.500 (63.965)
Epoch: [3][6250/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6489 (2.7825)	Prec@1 31.500 (33.665)	Prec@5 68.000 (63.962)
Epoch: [3][6260/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7491 (2.7826)	Prec@1 32.000 (33.664)	Prec@5 64.000 (63.960)
Epoch: [3][6270/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7668 (2.7825)	Prec@1 36.000 (33.661)	Prec@5 63.000 (63.961)
Epoch: [3][6280/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5613 (2.7825)	Prec@1 35.000 (33.658)	Prec@5 68.000 (63.960)
Epoch: [3][6290/9018]	Time 0.755 (0.612)	Data 0.001 (0.001)	Loss 2.8019 (2.7825)	Prec@1 37.000 (33.658)	Prec@5 60.500 (63.962)
Epoch: [3][6300/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 3.0056 (2.7825)	Prec@1 27.500 (33.658)	Prec@5 61.000 (63.962)
Epoch: [3][6310/9018]	Time 0.621 (0.612)	Data 0.001 (0.001)	Loss 2.5886 (2.7825)	Prec@1 34.000 (33.659)	Prec@5 68.500 (63.962)
Epoch: [3][6320/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.8470 (2.7825)	Prec@1 36.000 (33.658)	Prec@5 67.000 (63.962)
Epoch: [3][6330/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7979 (2.7824)	Prec@1 36.000 (33.659)	Prec@5 65.000 (63.963)
Epoch: [3][6340/9018]	Time 0.769 (0.612)	Data 0.001 (0.001)	Loss 2.6121 (2.7824)	Prec@1 35.000 (33.658)	Prec@5 65.500 (63.964)
Epoch: [3][6350/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.9415 (2.7825)	Prec@1 26.500 (33.655)	Prec@5 58.500 (63.963)
Epoch: [3][6360/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.9910 (2.7824)	Prec@1 25.000 (33.655)	Prec@5 60.500 (63.963)
Epoch: [3][6370/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.9494 (2.7825)	Prec@1 29.000 (33.655)	Prec@5 57.500 (63.960)
Epoch: [3][6380/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.5482 (2.7824)	Prec@1 33.000 (33.656)	Prec@5 66.500 (63.963)
Epoch: [3][6390/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.5986 (2.7824)	Prec@1 40.500 (33.659)	Prec@5 65.000 (63.964)
Epoch: [3][6400/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.7029 (2.7822)	Prec@1 34.000 (33.661)	Prec@5 65.500 (63.966)
Epoch: [3][6410/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.9247 (2.7821)	Prec@1 30.000 (33.664)	Prec@5 63.500 (63.968)
Epoch: [3][6420/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.7732 (2.7822)	Prec@1 29.500 (33.664)	Prec@5 65.000 (63.969)
Epoch: [3][6430/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7224 (2.7821)	Prec@1 35.500 (33.665)	Prec@5 62.000 (63.968)
Epoch: [3][6440/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.4302 (2.7821)	Prec@1 39.000 (33.663)	Prec@5 71.500 (63.968)
Epoch: [3][6450/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.7524 (2.7821)	Prec@1 36.000 (33.665)	Prec@5 67.500 (63.970)
Epoch: [3][6460/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6324 (2.7821)	Prec@1 36.500 (33.665)	Prec@5 63.500 (63.972)
Epoch: [3][6470/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.8219 (2.7821)	Prec@1 31.000 (33.663)	Prec@5 62.500 (63.972)
Epoch: [3][6480/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 2.7793 (2.7820)	Prec@1 32.000 (33.665)	Prec@5 64.000 (63.972)
Epoch: [3][6490/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7818 (2.7820)	Prec@1 29.000 (33.664)	Prec@5 64.500 (63.970)
Epoch: [3][6500/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.7992 (2.7820)	Prec@1 33.500 (33.665)	Prec@5 69.000 (63.970)
Epoch: [3][6510/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7135 (2.7819)	Prec@1 35.000 (33.665)	Prec@5 67.000 (63.972)
Epoch: [3][6520/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6959 (2.7819)	Prec@1 40.000 (33.664)	Prec@5 65.000 (63.972)
Epoch: [3][6530/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.5701 (2.7817)	Prec@1 36.500 (33.667)	Prec@5 67.000 (63.975)
Epoch: [3][6540/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.9886 (2.7817)	Prec@1 27.500 (33.668)	Prec@5 58.000 (63.976)
Epoch: [3][6550/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6624 (2.7817)	Prec@1 38.000 (33.668)	Prec@5 67.000 (63.977)
Epoch: [3][6560/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7364 (2.7817)	Prec@1 33.000 (33.667)	Prec@5 63.000 (63.977)
Epoch: [3][6570/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.8366 (2.7818)	Prec@1 35.500 (33.667)	Prec@5 63.500 (63.975)
Epoch: [3][6580/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.9564 (2.7818)	Prec@1 31.500 (33.668)	Prec@5 57.500 (63.974)
Epoch: [3][6590/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 2.7418 (2.7818)	Prec@1 34.500 (33.668)	Prec@5 67.000 (63.974)
Epoch: [3][6600/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8018 (2.7817)	Prec@1 34.500 (33.669)	Prec@5 60.000 (63.974)
Epoch: [3][6610/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.7314 (2.7816)	Prec@1 36.000 (33.671)	Prec@5 64.000 (63.976)
Epoch: [3][6620/9018]	Time 0.730 (0.612)	Data 0.001 (0.001)	Loss 2.4519 (2.7815)	Prec@1 44.000 (33.675)	Prec@5 70.000 (63.980)
Epoch: [3][6630/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.4430 (2.7815)	Prec@1 42.500 (33.677)	Prec@5 70.500 (63.982)
Epoch: [3][6640/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 3.1239 (2.7815)	Prec@1 33.000 (33.676)	Prec@5 60.000 (63.980)
Epoch: [3][6650/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.4504 (2.7815)	Prec@1 43.500 (33.677)	Prec@5 70.500 (63.981)
Epoch: [3][6660/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.6309 (2.7814)	Prec@1 37.000 (33.679)	Prec@5 65.000 (63.982)
Epoch: [3][6670/9018]	Time 0.728 (0.612)	Data 0.001 (0.001)	Loss 2.7658 (2.7814)	Prec@1 30.500 (33.679)	Prec@5 64.000 (63.985)
Epoch: [3][6680/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 2.8420 (2.7813)	Prec@1 33.500 (33.681)	Prec@5 63.500 (63.986)
Epoch: [3][6690/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.8189 (2.7814)	Prec@1 37.000 (33.678)	Prec@5 66.000 (63.986)
Epoch: [3][6700/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.9028 (2.7814)	Prec@1 30.500 (33.678)	Prec@5 65.000 (63.987)
Epoch: [3][6710/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.8255 (2.7813)	Prec@1 31.000 (33.679)	Prec@5 61.500 (63.987)
Epoch: [3][6720/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7043 (2.7812)	Prec@1 33.500 (33.679)	Prec@5 63.500 (63.989)
Epoch: [3][6730/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.8483 (2.7811)	Prec@1 28.000 (33.680)	Prec@5 64.500 (63.993)
Epoch: [3][6740/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7249 (2.7810)	Prec@1 34.000 (33.682)	Prec@5 65.500 (63.993)
Epoch: [3][6750/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.9393 (2.7811)	Prec@1 27.500 (33.681)	Prec@5 60.500 (63.991)
Epoch: [3][6760/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7666 (2.7810)	Prec@1 35.500 (33.682)	Prec@5 65.500 (63.992)
Epoch: [3][6770/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.5895 (2.7810)	Prec@1 38.500 (33.683)	Prec@5 67.500 (63.993)
Epoch: [3][6780/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.8672 (2.7809)	Prec@1 32.500 (33.686)	Prec@5 65.000 (63.993)
Epoch: [3][6790/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6650 (2.7808)	Prec@1 34.000 (33.687)	Prec@5 65.500 (63.994)
Epoch: [3][6800/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.7725 (2.7808)	Prec@1 31.500 (33.687)	Prec@5 63.000 (63.994)
Epoch: [3][6810/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.6627 (2.7808)	Prec@1 34.000 (33.688)	Prec@5 66.000 (63.993)
Epoch: [3][6820/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7958 (2.7808)	Prec@1 33.500 (33.689)	Prec@5 64.000 (63.992)
Epoch: [3][6830/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 2.9776 (2.7809)	Prec@1 30.000 (33.688)	Prec@5 59.500 (63.991)
Epoch: [3][6840/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5941 (2.7809)	Prec@1 37.000 (33.689)	Prec@5 67.000 (63.993)
Epoch: [3][6850/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.7071 (2.7808)	Prec@1 34.500 (33.689)	Prec@5 62.500 (63.993)
Epoch: [3][6860/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7913 (2.7808)	Prec@1 32.500 (33.689)	Prec@5 66.000 (63.995)
Epoch: [3][6870/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.7555 (2.7808)	Prec@1 35.500 (33.689)	Prec@5 64.500 (63.995)
Epoch: [3][6880/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 3.0752 (2.7809)	Prec@1 37.000 (33.692)	Prec@5 57.500 (63.994)
Epoch: [3][6890/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 2.8233 (2.7808)	Prec@1 34.000 (33.695)	Prec@5 62.500 (63.997)
Epoch: [3][6900/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 2.5240 (2.7806)	Prec@1 39.500 (33.699)	Prec@5 68.000 (63.999)
Epoch: [3][6910/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.8616 (2.7807)	Prec@1 27.500 (33.698)	Prec@5 61.000 (63.998)
Epoch: [3][6920/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.6035 (2.7805)	Prec@1 39.000 (33.702)	Prec@5 66.000 (64.001)
Epoch: [3][6930/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.9053 (2.7805)	Prec@1 34.000 (33.701)	Prec@5 61.000 (64.002)
Epoch: [3][6940/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5905 (2.7805)	Prec@1 37.500 (33.701)	Prec@5 68.500 (64.003)
Epoch: [3][6950/9018]	Time 0.740 (0.612)	Data 0.001 (0.001)	Loss 2.8076 (2.7805)	Prec@1 32.500 (33.700)	Prec@5 64.000 (64.001)
Epoch: [3][6960/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.9847 (2.7805)	Prec@1 30.500 (33.700)	Prec@5 63.000 (64.002)
Epoch: [3][6970/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6957 (2.7805)	Prec@1 35.500 (33.701)	Prec@5 65.500 (64.003)
Epoch: [3][6980/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.9205 (2.7804)	Prec@1 34.500 (33.702)	Prec@5 61.000 (64.004)
Epoch: [3][6990/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.9583 (2.7804)	Prec@1 32.000 (33.701)	Prec@5 63.000 (64.004)
Epoch: [3][7000/9018]	Time 0.750 (0.612)	Data 0.001 (0.001)	Loss 2.7947 (2.7803)	Prec@1 36.500 (33.703)	Prec@5 68.000 (64.005)
Epoch: [3][7010/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.7367 (2.7802)	Prec@1 37.000 (33.704)	Prec@5 64.500 (64.007)
Epoch: [3][7020/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.6358 (2.7801)	Prec@1 38.500 (33.707)	Prec@5 65.500 (64.010)
Epoch: [3][7030/9018]	Time 0.599 (0.612)	Data 0.003 (0.001)	Loss 2.8652 (2.7800)	Prec@1 30.500 (33.709)	Prec@5 62.500 (64.012)
Epoch: [3][7040/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7656 (2.7800)	Prec@1 34.000 (33.710)	Prec@5 62.500 (64.011)
Epoch: [3][7050/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.5624 (2.7798)	Prec@1 38.000 (33.713)	Prec@5 70.500 (64.016)
Epoch: [3][7060/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.9490 (2.7798)	Prec@1 28.500 (33.713)	Prec@5 60.500 (64.015)
Epoch: [3][7070/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.9964 (2.7797)	Prec@1 27.500 (33.714)	Prec@5 61.000 (64.015)
Epoch: [3][7080/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6287 (2.7796)	Prec@1 39.500 (33.716)	Prec@5 70.500 (64.019)
Epoch: [3][7090/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.8473 (2.7795)	Prec@1 35.500 (33.718)	Prec@5 64.500 (64.021)
Epoch: [3][7100/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.7063 (2.7793)	Prec@1 33.500 (33.721)	Prec@5 64.500 (64.024)
Epoch: [3][7110/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.8514 (2.7794)	Prec@1 37.000 (33.719)	Prec@5 62.500 (64.023)
Epoch: [3][7120/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 2.5975 (2.7793)	Prec@1 36.500 (33.721)	Prec@5 69.000 (64.027)
Epoch: [3][7130/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7821 (2.7793)	Prec@1 37.000 (33.721)	Prec@5 64.000 (64.028)
Epoch: [3][7140/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.6458 (2.7793)	Prec@1 35.500 (33.719)	Prec@5 69.000 (64.029)
Epoch: [3][7150/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.6745 (2.7793)	Prec@1 39.000 (33.719)	Prec@5 62.500 (64.029)
Epoch: [3][7160/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.6954 (2.7793)	Prec@1 40.000 (33.720)	Prec@5 65.500 (64.028)
Epoch: [3][7170/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4908 (2.7794)	Prec@1 39.000 (33.720)	Prec@5 72.500 (64.027)
Epoch: [3][7180/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.9601 (2.7794)	Prec@1 33.000 (33.719)	Prec@5 61.000 (64.026)
Epoch: [3][7190/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.8768 (2.7794)	Prec@1 30.500 (33.721)	Prec@5 60.000 (64.027)
Epoch: [3][7200/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.9077 (2.7793)	Prec@1 29.000 (33.720)	Prec@5 66.500 (64.030)
Epoch: [3][7210/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.6855 (2.7793)	Prec@1 36.000 (33.719)	Prec@5 67.500 (64.031)
Epoch: [3][7220/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.7710 (2.7793)	Prec@1 32.500 (33.719)	Prec@5 61.000 (64.031)
Epoch: [3][7230/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.9281 (2.7793)	Prec@1 33.000 (33.720)	Prec@5 60.500 (64.032)
Epoch: [3][7240/9018]	Time 0.591 (0.612)	Data 0.001 (0.001)	Loss 2.7328 (2.7792)	Prec@1 36.000 (33.722)	Prec@5 68.000 (64.033)
Epoch: [3][7250/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.8426 (2.7792)	Prec@1 35.500 (33.723)	Prec@5 64.000 (64.034)
Epoch: [3][7260/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6859 (2.7789)	Prec@1 34.000 (33.727)	Prec@5 69.000 (64.039)
Epoch: [3][7270/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.9128 (2.7790)	Prec@1 30.500 (33.727)	Prec@5 61.500 (64.039)
Epoch: [3][7280/9018]	Time 0.730 (0.612)	Data 0.001 (0.001)	Loss 2.7066 (2.7789)	Prec@1 36.000 (33.728)	Prec@5 65.500 (64.040)
Epoch: [3][7290/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5944 (2.7789)	Prec@1 38.000 (33.728)	Prec@5 62.500 (64.039)
Epoch: [3][7300/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 3.0649 (2.7789)	Prec@1 26.000 (33.729)	Prec@5 57.500 (64.040)
Epoch: [3][7310/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7720 (2.7789)	Prec@1 32.000 (33.730)	Prec@5 68.000 (64.041)
Epoch: [3][7320/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 2.6777 (2.7788)	Prec@1 35.000 (33.729)	Prec@5 63.500 (64.040)
Epoch: [3][7330/9018]	Time 0.740 (0.612)	Data 0.001 (0.001)	Loss 2.8604 (2.7788)	Prec@1 34.000 (33.729)	Prec@5 64.500 (64.040)
Epoch: [3][7340/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6037 (2.7788)	Prec@1 36.500 (33.728)	Prec@5 66.000 (64.039)
Epoch: [3][7350/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7915 (2.7788)	Prec@1 29.000 (33.728)	Prec@5 66.000 (64.041)
Epoch: [3][7360/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 2.6102 (2.7787)	Prec@1 35.500 (33.730)	Prec@5 67.000 (64.044)
Epoch: [3][7370/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.8795 (2.7786)	Prec@1 32.500 (33.731)	Prec@5 62.500 (64.047)
Epoch: [3][7380/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.7820 (2.7786)	Prec@1 34.000 (33.734)	Prec@5 62.000 (64.047)
Epoch: [3][7390/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.8630 (2.7785)	Prec@1 34.000 (33.734)	Prec@5 64.000 (64.047)
Epoch: [3][7400/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7724 (2.7784)	Prec@1 32.000 (33.737)	Prec@5 64.500 (64.050)
Epoch: [3][7410/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7486 (2.7783)	Prec@1 34.500 (33.738)	Prec@5 61.500 (64.050)
Epoch: [3][7420/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.5828 (2.7783)	Prec@1 37.500 (33.738)	Prec@5 68.500 (64.050)
Epoch: [3][7430/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8040 (2.7783)	Prec@1 34.500 (33.738)	Prec@5 66.000 (64.050)
Epoch: [3][7440/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.8873 (2.7784)	Prec@1 32.000 (33.737)	Prec@5 63.000 (64.048)
Epoch: [3][7450/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.4891 (2.7784)	Prec@1 37.000 (33.738)	Prec@5 69.000 (64.048)
Epoch: [3][7460/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5947 (2.7782)	Prec@1 37.500 (33.740)	Prec@5 67.000 (64.052)
Epoch: [3][7470/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7252 (2.7782)	Prec@1 31.000 (33.741)	Prec@5 61.000 (64.051)
Epoch: [3][7480/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7127 (2.7781)	Prec@1 31.500 (33.744)	Prec@5 66.000 (64.055)
Epoch: [3][7490/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.7663 (2.7780)	Prec@1 34.500 (33.743)	Prec@5 61.000 (64.057)
Epoch: [3][7500/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8029 (2.7781)	Prec@1 35.000 (33.741)	Prec@5 62.500 (64.055)
Epoch: [3][7510/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.6922 (2.7780)	Prec@1 32.500 (33.742)	Prec@5 64.000 (64.057)
Epoch: [3][7520/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 3.0739 (2.7780)	Prec@1 30.500 (33.743)	Prec@5 59.500 (64.057)
Epoch: [3][7530/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.8470 (2.7781)	Prec@1 31.500 (33.742)	Prec@5 60.500 (64.056)
Epoch: [3][7540/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.6184 (2.7781)	Prec@1 37.500 (33.742)	Prec@5 68.000 (64.057)
Epoch: [3][7550/9018]	Time 0.591 (0.612)	Data 0.001 (0.001)	Loss 2.7002 (2.7780)	Prec@1 39.000 (33.744)	Prec@5 66.500 (64.059)
Epoch: [3][7560/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.9430 (2.7779)	Prec@1 28.000 (33.746)	Prec@5 62.000 (64.061)
Epoch: [3][7570/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7414 (2.7778)	Prec@1 32.000 (33.746)	Prec@5 67.500 (64.062)
Epoch: [3][7580/9018]	Time 0.611 (0.612)	Data 0.003 (0.001)	Loss 2.6235 (2.7778)	Prec@1 38.000 (33.744)	Prec@5 64.000 (64.061)
Epoch: [3][7590/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7665 (2.7777)	Prec@1 36.500 (33.746)	Prec@5 66.500 (64.064)
Epoch: [3][7600/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7149 (2.7777)	Prec@1 34.500 (33.747)	Prec@5 65.500 (64.063)
Epoch: [3][7610/9018]	Time 0.735 (0.612)	Data 0.001 (0.001)	Loss 2.6531 (2.7777)	Prec@1 29.000 (33.747)	Prec@5 66.000 (64.062)
Epoch: [3][7620/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.6023 (2.7776)	Prec@1 29.500 (33.747)	Prec@5 67.500 (64.064)
Epoch: [3][7630/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8567 (2.7777)	Prec@1 33.500 (33.747)	Prec@5 61.500 (64.063)
Epoch: [3][7640/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.9336 (2.7776)	Prec@1 32.000 (33.748)	Prec@5 59.500 (64.063)
Epoch: [3][7650/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.8308 (2.7777)	Prec@1 31.000 (33.747)	Prec@5 64.000 (64.063)
Epoch: [3][7660/9018]	Time 0.727 (0.612)	Data 0.001 (0.001)	Loss 2.7664 (2.7777)	Prec@1 36.500 (33.749)	Prec@5 67.500 (64.063)
Epoch: [3][7670/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.4768 (2.7776)	Prec@1 40.500 (33.751)	Prec@5 72.500 (64.066)
Epoch: [3][7680/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.7995 (2.7775)	Prec@1 32.500 (33.750)	Prec@5 63.000 (64.068)
Epoch: [3][7690/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.8532 (2.7775)	Prec@1 33.500 (33.751)	Prec@5 61.500 (64.067)
Epoch: [3][7700/9018]	Time 0.617 (0.612)	Data 0.001 (0.001)	Loss 2.9329 (2.7774)	Prec@1 27.000 (33.754)	Prec@5 60.000 (64.069)
Epoch: [3][7710/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 2.8374 (2.7774)	Prec@1 32.000 (33.755)	Prec@5 62.500 (64.070)
Epoch: [3][7720/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 3.0911 (2.7774)	Prec@1 32.000 (33.755)	Prec@5 56.500 (64.068)
Epoch: [3][7730/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7975 (2.7774)	Prec@1 33.500 (33.756)	Prec@5 61.000 (64.069)
Epoch: [3][7740/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.6182 (2.7775)	Prec@1 36.500 (33.756)	Prec@5 72.000 (64.068)
Epoch: [3][7750/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5672 (2.7775)	Prec@1 40.000 (33.755)	Prec@5 70.000 (64.066)
Epoch: [3][7760/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.7070 (2.7774)	Prec@1 34.000 (33.757)	Prec@5 68.000 (64.069)
Epoch: [3][7770/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5611 (2.7773)	Prec@1 34.000 (33.756)	Prec@5 70.500 (64.072)
Epoch: [3][7780/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.9277 (2.7773)	Prec@1 26.500 (33.757)	Prec@5 59.500 (64.072)
Epoch: [3][7790/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7840 (2.7772)	Prec@1 32.500 (33.759)	Prec@5 63.000 (64.074)
Epoch: [3][7800/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7365 (2.7771)	Prec@1 34.000 (33.760)	Prec@5 67.500 (64.076)
Epoch: [3][7810/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6313 (2.7770)	Prec@1 37.500 (33.762)	Prec@5 66.000 (64.077)
Epoch: [3][7820/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.6630 (2.7769)	Prec@1 34.500 (33.762)	Prec@5 67.500 (64.078)
Epoch: [3][7830/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.7630 (2.7769)	Prec@1 32.000 (33.763)	Prec@5 63.500 (64.078)
Epoch: [3][7840/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.6699 (2.7768)	Prec@1 35.500 (33.766)	Prec@5 63.500 (64.080)
Epoch: [3][7850/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 3.0624 (2.7768)	Prec@1 28.500 (33.766)	Prec@5 55.500 (64.077)
Epoch: [3][7860/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.8067 (2.7768)	Prec@1 30.000 (33.766)	Prec@5 62.500 (64.077)
Epoch: [3][7870/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.8960 (2.7768)	Prec@1 28.000 (33.764)	Prec@5 59.500 (64.078)
Epoch: [3][7880/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 2.4958 (2.7767)	Prec@1 39.500 (33.766)	Prec@5 68.500 (64.079)
Epoch: [3][7890/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.9336 (2.7768)	Prec@1 28.000 (33.765)	Prec@5 64.000 (64.078)
Epoch: [3][7900/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6518 (2.7767)	Prec@1 34.500 (33.766)	Prec@5 67.000 (64.077)
Epoch: [3][7910/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.9735 (2.7767)	Prec@1 28.000 (33.765)	Prec@5 58.000 (64.076)
Epoch: [3][7920/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.4753 (2.7766)	Prec@1 39.000 (33.766)	Prec@5 71.000 (64.079)
Epoch: [3][7930/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.6171 (2.7765)	Prec@1 39.500 (33.767)	Prec@5 66.500 (64.080)
Epoch: [3][7940/9018]	Time 0.750 (0.612)	Data 0.001 (0.001)	Loss 2.8995 (2.7766)	Prec@1 29.500 (33.764)	Prec@5 58.500 (64.078)
Epoch: [3][7950/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7330 (2.7766)	Prec@1 33.500 (33.763)	Prec@5 67.500 (64.078)
Epoch: [3][7960/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.8358 (2.7767)	Prec@1 32.500 (33.761)	Prec@5 64.500 (64.077)
Epoch: [3][7970/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.8623 (2.7766)	Prec@1 30.500 (33.763)	Prec@5 60.500 (64.079)
Epoch: [3][7980/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6826 (2.7765)	Prec@1 38.000 (33.764)	Prec@5 67.000 (64.081)
Epoch: [3][7990/9018]	Time 0.732 (0.612)	Data 0.001 (0.001)	Loss 2.7867 (2.7764)	Prec@1 36.500 (33.765)	Prec@5 63.500 (64.083)
Epoch: [3][8000/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.8931 (2.7765)	Prec@1 31.000 (33.763)	Prec@5 63.000 (64.082)
Epoch: [3][8010/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.8797 (2.7765)	Prec@1 32.000 (33.764)	Prec@5 65.500 (64.082)
Epoch: [3][8020/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 2.8940 (2.7765)	Prec@1 32.000 (33.763)	Prec@5 64.000 (64.082)
Epoch: [3][8030/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.7613 (2.7764)	Prec@1 33.000 (33.764)	Prec@5 64.000 (64.083)
Epoch: [3][8040/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7419 (2.7763)	Prec@1 38.500 (33.766)	Prec@5 61.000 (64.083)
Epoch: [3][8050/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.7456 (2.7764)	Prec@1 30.500 (33.765)	Prec@5 63.500 (64.082)
Epoch: [3][8060/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6914 (2.7763)	Prec@1 34.500 (33.765)	Prec@5 63.000 (64.082)
Epoch: [3][8070/9018]	Time 0.614 (0.612)	Data 0.001 (0.001)	Loss 2.8778 (2.7763)	Prec@1 31.000 (33.768)	Prec@5 63.500 (64.083)
Epoch: [3][8080/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6399 (2.7763)	Prec@1 35.500 (33.770)	Prec@5 65.500 (64.084)
Epoch: [3][8090/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6251 (2.7762)	Prec@1 38.000 (33.771)	Prec@5 67.000 (64.084)
Epoch: [3][8100/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.8483 (2.7762)	Prec@1 35.000 (33.772)	Prec@5 64.000 (64.085)
Epoch: [3][8110/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.6525 (2.7761)	Prec@1 40.000 (33.772)	Prec@5 67.000 (64.086)
Epoch: [3][8120/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7578 (2.7762)	Prec@1 33.500 (33.772)	Prec@5 63.500 (64.086)
Epoch: [3][8130/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8074 (2.7761)	Prec@1 30.500 (33.771)	Prec@5 62.000 (64.088)
Epoch: [3][8140/9018]	Time 0.633 (0.612)	Data 0.001 (0.001)	Loss 2.9184 (2.7761)	Prec@1 32.500 (33.771)	Prec@5 62.500 (64.088)
Epoch: [3][8150/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7034 (2.7761)	Prec@1 36.000 (33.771)	Prec@5 64.500 (64.088)
Epoch: [3][8160/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.7588 (2.7760)	Prec@1 36.500 (33.772)	Prec@5 64.000 (64.088)
Epoch: [3][8170/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7995 (2.7760)	Prec@1 33.000 (33.772)	Prec@5 62.500 (64.088)
Epoch: [3][8180/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 2.8233 (2.7760)	Prec@1 28.500 (33.771)	Prec@5 61.500 (64.088)
Epoch: [3][8190/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.9775 (2.7760)	Prec@1 30.000 (33.771)	Prec@5 57.500 (64.087)
Epoch: [3][8200/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.8647 (2.7760)	Prec@1 29.500 (33.771)	Prec@5 60.500 (64.086)
Epoch: [3][8210/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.9894 (2.7760)	Prec@1 37.500 (33.774)	Prec@5 61.500 (64.085)
Epoch: [3][8220/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.3257 (2.7760)	Prec@1 40.000 (33.773)	Prec@5 75.000 (64.087)
Epoch: [3][8230/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.9636 (2.7760)	Prec@1 29.500 (33.773)	Prec@5 58.000 (64.087)
Epoch: [3][8240/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.9239 (2.7760)	Prec@1 31.000 (33.773)	Prec@5 62.500 (64.087)
Epoch: [3][8250/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.9879 (2.7760)	Prec@1 28.000 (33.772)	Prec@5 55.500 (64.086)
Epoch: [3][8260/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.8144 (2.7760)	Prec@1 34.500 (33.773)	Prec@5 61.500 (64.086)
Epoch: [3][8270/9018]	Time 0.718 (0.612)	Data 0.001 (0.001)	Loss 2.7615 (2.7760)	Prec@1 34.500 (33.774)	Prec@5 64.000 (64.088)
Epoch: [3][8280/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7115 (2.7759)	Prec@1 36.000 (33.774)	Prec@5 66.500 (64.090)
Epoch: [3][8290/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.8216 (2.7760)	Prec@1 30.000 (33.772)	Prec@5 63.500 (64.090)
Epoch: [3][8300/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 2.9383 (2.7760)	Prec@1 35.500 (33.772)	Prec@5 61.500 (64.091)
Epoch: [3][8310/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.8462 (2.7760)	Prec@1 35.500 (33.773)	Prec@5 63.500 (64.091)
Epoch: [3][8320/9018]	Time 0.734 (0.612)	Data 0.001 (0.001)	Loss 2.5053 (2.7759)	Prec@1 36.500 (33.774)	Prec@5 73.500 (64.092)
Epoch: [3][8330/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5094 (2.7759)	Prec@1 36.000 (33.774)	Prec@5 67.000 (64.092)
Epoch: [3][8340/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.7565 (2.7758)	Prec@1 31.500 (33.776)	Prec@5 66.500 (64.093)
Epoch: [3][8350/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.6671 (2.7757)	Prec@1 39.000 (33.777)	Prec@5 66.500 (64.097)
Epoch: [3][8360/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.6212 (2.7757)	Prec@1 36.500 (33.778)	Prec@5 67.500 (64.098)
Epoch: [3][8370/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 2.7443 (2.7756)	Prec@1 32.000 (33.779)	Prec@5 64.000 (64.100)
Epoch: [3][8380/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 3.0231 (2.7755)	Prec@1 31.500 (33.780)	Prec@5 56.000 (64.099)
Epoch: [3][8390/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.6117 (2.7754)	Prec@1 34.000 (33.779)	Prec@5 66.000 (64.101)
Epoch: [3][8400/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.9843 (2.7755)	Prec@1 28.000 (33.777)	Prec@5 61.500 (64.100)
Epoch: [3][8410/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.6549 (2.7755)	Prec@1 38.000 (33.777)	Prec@5 68.000 (64.101)
Epoch: [3][8420/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6288 (2.7754)	Prec@1 34.500 (33.776)	Prec@5 62.500 (64.102)
Epoch: [3][8430/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 2.5633 (2.7754)	Prec@1 38.500 (33.777)	Prec@5 66.000 (64.103)
Epoch: [3][8440/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 3.0679 (2.7754)	Prec@1 31.500 (33.778)	Prec@5 59.000 (64.102)
Epoch: [3][8450/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.7650 (2.7754)	Prec@1 29.000 (33.778)	Prec@5 66.500 (64.103)
Epoch: [3][8460/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.5529 (2.7753)	Prec@1 38.500 (33.782)	Prec@5 65.500 (64.105)
Epoch: [3][8470/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.8057 (2.7753)	Prec@1 30.000 (33.780)	Prec@5 62.500 (64.102)
Epoch: [3][8480/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.9172 (2.7753)	Prec@1 33.500 (33.782)	Prec@5 62.000 (64.104)
Epoch: [3][8490/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.9036 (2.7752)	Prec@1 29.500 (33.783)	Prec@5 59.000 (64.105)
Epoch: [3][8500/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7327 (2.7751)	Prec@1 38.000 (33.786)	Prec@5 63.500 (64.108)
Epoch: [3][8510/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 2.6255 (2.7751)	Prec@1 41.500 (33.788)	Prec@5 66.000 (64.108)
Epoch: [3][8520/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.8999 (2.7750)	Prec@1 32.000 (33.790)	Prec@5 61.000 (64.109)
Epoch: [3][8530/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5405 (2.7749)	Prec@1 34.500 (33.792)	Prec@5 70.500 (64.112)
Epoch: [3][8540/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8065 (2.7749)	Prec@1 30.500 (33.791)	Prec@5 63.500 (64.112)
Epoch: [3][8550/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 2.8120 (2.7749)	Prec@1 35.500 (33.794)	Prec@5 65.000 (64.113)
Epoch: [3][8560/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.8389 (2.7748)	Prec@1 32.500 (33.795)	Prec@5 64.000 (64.114)
Epoch: [3][8570/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.6281 (2.7748)	Prec@1 34.000 (33.796)	Prec@5 68.000 (64.115)
Epoch: [3][8580/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7179 (2.7748)	Prec@1 35.000 (33.796)	Prec@5 60.000 (64.114)
Epoch: [3][8590/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.7680 (2.7748)	Prec@1 34.500 (33.799)	Prec@5 62.500 (64.115)
Epoch: [3][8600/9018]	Time 0.718 (0.612)	Data 0.001 (0.001)	Loss 2.7626 (2.7747)	Prec@1 31.000 (33.801)	Prec@5 64.500 (64.116)
Epoch: [3][8610/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5993 (2.7747)	Prec@1 34.500 (33.799)	Prec@5 67.000 (64.117)
Epoch: [3][8620/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7216 (2.7746)	Prec@1 33.500 (33.801)	Prec@5 66.500 (64.117)
Epoch: [3][8630/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.8525 (2.7746)	Prec@1 36.500 (33.801)	Prec@5 62.500 (64.117)
Epoch: [3][8640/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6961 (2.7746)	Prec@1 33.500 (33.801)	Prec@5 66.000 (64.117)
Epoch: [3][8650/9018]	Time 0.740 (0.612)	Data 0.001 (0.001)	Loss 2.8760 (2.7745)	Prec@1 34.000 (33.803)	Prec@5 61.500 (64.117)
Epoch: [3][8660/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.5907 (2.7745)	Prec@1 35.000 (33.804)	Prec@5 68.500 (64.119)
Epoch: [3][8670/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.8765 (2.7745)	Prec@1 30.500 (33.804)	Prec@5 63.500 (64.118)
Epoch: [3][8680/9018]	Time 0.630 (0.612)	Data 0.001 (0.001)	Loss 2.5670 (2.7744)	Prec@1 33.000 (33.805)	Prec@5 70.000 (64.121)
Epoch: [3][8690/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.7664 (2.7743)	Prec@1 33.500 (33.807)	Prec@5 67.000 (64.123)
Epoch: [3][8700/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 3.0083 (2.7744)	Prec@1 26.000 (33.804)	Prec@5 60.000 (64.123)
Epoch: [3][8710/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6868 (2.7743)	Prec@1 39.000 (33.805)	Prec@5 64.000 (64.123)
Epoch: [3][8720/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.5687 (2.7744)	Prec@1 34.000 (33.805)	Prec@5 68.000 (64.123)
Epoch: [3][8730/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.8128 (2.7744)	Prec@1 34.000 (33.803)	Prec@5 62.500 (64.123)
Epoch: [3][8740/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.5437 (2.7743)	Prec@1 39.000 (33.804)	Prec@5 70.000 (64.124)
Epoch: [3][8750/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7177 (2.7742)	Prec@1 36.000 (33.806)	Prec@5 68.000 (64.127)
Epoch: [3][8760/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 2.6662 (2.7742)	Prec@1 35.000 (33.807)	Prec@5 66.500 (64.129)
Epoch: [3][8770/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.8626 (2.7742)	Prec@1 29.500 (33.806)	Prec@5 62.500 (64.128)
Epoch: [3][8780/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.6753 (2.7742)	Prec@1 32.500 (33.807)	Prec@5 67.000 (64.129)
Epoch: [3][8790/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.6432 (2.7741)	Prec@1 35.500 (33.808)	Prec@5 70.500 (64.129)
Epoch: [3][8800/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6768 (2.7741)	Prec@1 37.000 (33.808)	Prec@5 67.000 (64.128)
Epoch: [3][8810/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7007 (2.7740)	Prec@1 40.500 (33.811)	Prec@5 67.000 (64.130)
Epoch: [3][8820/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.7081 (2.7740)	Prec@1 34.000 (33.811)	Prec@5 67.500 (64.131)
Epoch: [3][8830/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.6423 (2.7741)	Prec@1 31.500 (33.809)	Prec@5 70.000 (64.131)
Epoch: [3][8840/9018]	Time 0.591 (0.612)	Data 0.001 (0.001)	Loss 2.4432 (2.7740)	Prec@1 40.000 (33.809)	Prec@5 68.500 (64.133)
Epoch: [3][8850/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.8561 (2.7739)	Prec@1 34.000 (33.809)	Prec@5 64.500 (64.134)
Epoch: [3][8860/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7635 (2.7739)	Prec@1 34.500 (33.809)	Prec@5 62.500 (64.135)
Epoch: [3][8870/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.7068 (2.7738)	Prec@1 29.500 (33.809)	Prec@5 67.000 (64.137)
Epoch: [3][8880/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.7909 (2.7737)	Prec@1 34.000 (33.810)	Prec@5 63.500 (64.137)
Epoch: [3][8890/9018]	Time 0.614 (0.612)	Data 0.001 (0.001)	Loss 2.7317 (2.7736)	Prec@1 35.000 (33.812)	Prec@5 65.000 (64.139)
Epoch: [3][8900/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 2.5220 (2.7736)	Prec@1 35.500 (33.813)	Prec@5 68.000 (64.139)
Epoch: [3][8910/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.9459 (2.7736)	Prec@1 31.500 (33.812)	Prec@5 59.500 (64.140)
Epoch: [3][8920/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 2.6537 (2.7735)	Prec@1 35.500 (33.813)	Prec@5 69.500 (64.142)
Epoch: [3][8930/9018]	Time 0.732 (0.612)	Data 0.001 (0.001)	Loss 2.8805 (2.7735)	Prec@1 29.000 (33.813)	Prec@5 63.500 (64.144)
Epoch: [3][8940/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.7038 (2.7734)	Prec@1 37.500 (33.814)	Prec@5 62.500 (64.144)
Epoch: [3][8950/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.8137 (2.7734)	Prec@1 37.000 (33.814)	Prec@5 62.500 (64.143)
Epoch: [3][8960/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.5532 (2.7734)	Prec@1 38.000 (33.813)	Prec@5 67.000 (64.143)
Epoch: [3][8970/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.9501 (2.7734)	Prec@1 31.500 (33.812)	Prec@5 65.500 (64.143)
Epoch: [3][8980/9018]	Time 0.748 (0.612)	Data 0.001 (0.001)	Loss 2.5303 (2.7733)	Prec@1 38.000 (33.813)	Prec@5 73.000 (64.144)
Epoch: [3][8990/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.5942 (2.7733)	Prec@1 36.000 (33.813)	Prec@5 67.000 (64.144)
Epoch: [3][9000/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 2.5645 (2.7733)	Prec@1 37.000 (33.814)	Prec@5 67.500 (64.144)
Epoch: [3][9010/9018]	Time 0.597 (0.612)	Data 0.000 (0.001)	Loss 2.7613 (2.7732)	Prec@1 34.000 (33.815)	Prec@5 62.500 (64.145)
Test: [0/183]	Time 1.522 (1.522)	Loss 3.6791 (3.6791)	Prec@1 14.500 (14.500)	Prec@5 48.500 (48.500)
Test: [10/183]	Time 0.204 (0.316)	Loss 2.8947 (2.5783)	Prec@1 36.500 (37.182)	Prec@5 68.000 (70.591)
Test: [20/183]	Time 0.200 (0.265)	Loss 2.6002 (2.5000)	Prec@1 31.500 (38.405)	Prec@5 69.500 (70.619)
Test: [30/183]	Time 0.199 (0.245)	Loss 2.6158 (2.4691)	Prec@1 33.500 (38.710)	Prec@5 67.000 (71.177)
Test: [40/183]	Time 0.192 (0.232)	Loss 3.4141 (2.4624)	Prec@1 13.500 (39.622)	Prec@5 48.500 (70.829)
Test: [50/183]	Time 0.183 (0.226)	Loss 2.6615 (2.4727)	Prec@1 33.000 (39.441)	Prec@5 66.000 (70.480)
Test: [60/183]	Time 0.209 (0.221)	Loss 2.5311 (2.4971)	Prec@1 41.500 (38.779)	Prec@5 66.000 (69.975)
Test: [70/183]	Time 0.185 (0.217)	Loss 2.4119 (2.5024)	Prec@1 42.500 (38.324)	Prec@5 71.500 (70.141)
Test: [80/183]	Time 0.202 (0.215)	Loss 2.1508 (2.4999)	Prec@1 46.500 (38.432)	Prec@5 78.500 (70.160)
Test: [90/183]	Time 0.192 (0.213)	Loss 3.3835 (2.5080)	Prec@1 20.000 (38.115)	Prec@5 56.000 (70.071)
Test: [100/183]	Time 0.204 (0.211)	Loss 1.5700 (2.5192)	Prec@1 60.000 (38.035)	Prec@5 85.500 (69.842)
Test: [110/183]	Time 0.208 (0.209)	Loss 0.8189 (2.5104)	Prec@1 82.000 (38.135)	Prec@5 97.000 (69.941)
Test: [120/183]	Time 0.195 (0.208)	Loss 3.2800 (2.5221)	Prec@1 25.000 (37.599)	Prec@5 52.000 (69.810)
Test: [130/183]	Time 0.184 (0.207)	Loss 3.5136 (2.5238)	Prec@1 11.000 (37.439)	Prec@5 49.000 (69.805)
Test: [140/183]	Time 0.202 (0.206)	Loss 2.5464 (2.5203)	Prec@1 40.500 (37.553)	Prec@5 66.000 (69.833)
Test: [150/183]	Time 0.196 (0.205)	Loss 1.6748 (2.5123)	Prec@1 53.000 (37.719)	Prec@5 89.500 (69.944)
Test: [160/183]	Time 0.194 (0.204)	Loss 1.8564 (2.5031)	Prec@1 45.000 (38.071)	Prec@5 86.000 (70.093)
Test: [170/183]	Time 0.202 (0.204)	Loss 2.6308 (2.5166)	Prec@1 31.000 (37.842)	Prec@5 74.500 (69.766)
Test: [180/183]	Time 0.178 (0.204)	Loss 2.6251 (2.5301)	Prec@1 33.500 (37.561)	Prec@5 71.500 (69.539)
 * Prec@1 37.532 Prec@5 69.512
Epoch: [4][0/9018]	Time 2.933 (2.933)	Data 2.285 (2.285)	Loss 2.7542 (2.7542)	Prec@1 34.000 (34.000)	Prec@5 66.500 (66.500)
Epoch: [4][10/9018]	Time 0.824 (0.830)	Data 0.001 (0.208)	Loss 2.5003 (2.6984)	Prec@1 40.000 (35.545)	Prec@5 69.500 (65.318)
Epoch: [4][20/9018]	Time 0.600 (0.721)	Data 0.001 (0.110)	Loss 2.5838 (2.7193)	Prec@1 38.500 (34.524)	Prec@5 67.000 (64.881)
Epoch: [4][30/9018]	Time 0.599 (0.687)	Data 0.001 (0.075)	Loss 2.6133 (2.7349)	Prec@1 36.500 (33.984)	Prec@5 67.500 (64.855)
Epoch: [4][40/9018]	Time 0.604 (0.666)	Data 0.001 (0.057)	Loss 2.5486 (2.7332)	Prec@1 40.000 (34.049)	Prec@5 68.000 (64.756)
Epoch: [4][50/9018]	Time 0.628 (0.657)	Data 0.001 (0.046)	Loss 3.0123 (2.7442)	Prec@1 31.500 (33.784)	Prec@5 59.000 (64.461)
Epoch: [4][60/9018]	Time 0.734 (0.650)	Data 0.001 (0.038)	Loss 2.4693 (2.7302)	Prec@1 40.500 (34.213)	Prec@5 69.500 (64.828)
Epoch: [4][70/9018]	Time 0.598 (0.645)	Data 0.001 (0.033)	Loss 2.6608 (2.7281)	Prec@1 34.500 (34.282)	Prec@5 66.500 (64.859)
Epoch: [4][80/9018]	Time 0.616 (0.641)	Data 0.001 (0.029)	Loss 2.7128 (2.7267)	Prec@1 33.500 (34.426)	Prec@5 67.000 (64.938)
Epoch: [4][90/9018]	Time 0.597 (0.636)	Data 0.001 (0.026)	Loss 2.6743 (2.7342)	Prec@1 34.000 (34.192)	Prec@5 65.000 (64.808)
Epoch: [4][100/9018]	Time 0.596 (0.634)	Data 0.001 (0.023)	Loss 2.7721 (2.7359)	Prec@1 34.000 (34.069)	Prec@5 62.000 (64.757)
Epoch: [4][110/9018]	Time 0.594 (0.633)	Data 0.001 (0.021)	Loss 2.5529 (2.7375)	Prec@1 37.500 (34.018)	Prec@5 67.500 (64.775)
Epoch: [4][120/9018]	Time 0.599 (0.630)	Data 0.001 (0.020)	Loss 2.7555 (2.7407)	Prec@1 36.000 (34.033)	Prec@5 64.000 (64.686)
Epoch: [4][130/9018]	Time 0.606 (0.629)	Data 0.001 (0.018)	Loss 2.6016 (2.7355)	Prec@1 34.000 (34.107)	Prec@5 66.500 (64.832)
Epoch: [4][140/9018]	Time 0.599 (0.627)	Data 0.001 (0.017)	Loss 2.7561 (2.7308)	Prec@1 38.500 (34.273)	Prec@5 64.000 (64.936)
Epoch: [4][150/9018]	Time 0.603 (0.627)	Data 0.001 (0.016)	Loss 2.7385 (2.7367)	Prec@1 36.000 (34.079)	Prec@5 65.500 (64.871)
Epoch: [4][160/9018]	Time 0.632 (0.627)	Data 0.001 (0.015)	Loss 2.6369 (2.7350)	Prec@1 36.500 (34.118)	Prec@5 66.000 (64.863)
Epoch: [4][170/9018]	Time 0.610 (0.625)	Data 0.001 (0.014)	Loss 2.7464 (2.7338)	Prec@1 36.500 (34.225)	Prec@5 66.500 (64.877)
Epoch: [4][180/9018]	Time 0.609 (0.625)	Data 0.001 (0.013)	Loss 2.6487 (2.7332)	Prec@1 36.500 (34.193)	Prec@5 65.500 (64.873)
Epoch: [4][190/9018]	Time 0.598 (0.624)	Data 0.001 (0.013)	Loss 2.8937 (2.7301)	Prec@1 31.500 (34.330)	Prec@5 61.500 (64.880)
Epoch: [4][200/9018]	Time 0.617 (0.624)	Data 0.001 (0.012)	Loss 2.5029 (2.7302)	Prec@1 37.500 (34.254)	Prec@5 69.000 (64.930)
Epoch: [4][210/9018]	Time 0.605 (0.624)	Data 0.001 (0.012)	Loss 2.8389 (2.7329)	Prec@1 34.000 (34.277)	Prec@5 64.000 (64.874)
Epoch: [4][220/9018]	Time 0.599 (0.623)	Data 0.001 (0.011)	Loss 2.8589 (2.7346)	Prec@1 31.000 (34.260)	Prec@5 62.500 (64.839)
Epoch: [4][230/9018]	Time 0.601 (0.623)	Data 0.001 (0.011)	Loss 2.6721 (2.7356)	Prec@1 34.500 (34.240)	Prec@5 66.500 (64.801)
Epoch: [4][240/9018]	Time 0.595 (0.622)	Data 0.001 (0.010)	Loss 2.7743 (2.7334)	Prec@1 33.000 (34.282)	Prec@5 67.000 (64.905)
Epoch: [4][250/9018]	Time 0.604 (0.622)	Data 0.001 (0.010)	Loss 2.9225 (2.7344)	Prec@1 32.000 (34.279)	Prec@5 62.500 (64.882)
Epoch: [4][260/9018]	Time 0.598 (0.621)	Data 0.001 (0.010)	Loss 2.8627 (2.7348)	Prec@1 31.000 (34.291)	Prec@5 59.000 (64.833)
Epoch: [4][270/9018]	Time 0.600 (0.621)	Data 0.001 (0.009)	Loss 2.7957 (2.7317)	Prec@1 36.500 (34.345)	Prec@5 65.500 (64.926)
Epoch: [4][280/9018]	Time 0.628 (0.621)	Data 0.001 (0.009)	Loss 2.5510 (2.7318)	Prec@1 39.500 (34.345)	Prec@5 67.500 (64.906)
Epoch: [4][290/9018]	Time 0.609 (0.620)	Data 0.001 (0.009)	Loss 2.6003 (2.7324)	Prec@1 36.500 (34.352)	Prec@5 64.500 (64.885)
Epoch: [4][300/9018]	Time 0.593 (0.620)	Data 0.001 (0.008)	Loss 2.6146 (2.7317)	Prec@1 40.000 (34.387)	Prec@5 66.500 (64.895)
Epoch: [4][310/9018]	Time 0.598 (0.620)	Data 0.001 (0.008)	Loss 2.8293 (2.7316)	Prec@1 30.500 (34.383)	Prec@5 62.000 (64.902)
Epoch: [4][320/9018]	Time 0.616 (0.620)	Data 0.001 (0.008)	Loss 2.7622 (2.7310)	Prec@1 35.000 (34.375)	Prec@5 65.000 (64.905)
Epoch: [4][330/9018]	Time 0.612 (0.620)	Data 0.001 (0.008)	Loss 2.7741 (2.7323)	Prec@1 33.500 (34.313)	Prec@5 62.500 (64.835)
Epoch: [4][340/9018]	Time 0.755 (0.620)	Data 0.001 (0.008)	Loss 2.5554 (2.7317)	Prec@1 34.000 (34.301)	Prec@5 70.000 (64.827)
Epoch: [4][350/9018]	Time 0.610 (0.620)	Data 0.001 (0.007)	Loss 2.8879 (2.7304)	Prec@1 33.000 (34.352)	Prec@5 60.000 (64.866)
Epoch: [4][360/9018]	Time 0.594 (0.620)	Data 0.001 (0.007)	Loss 2.7494 (2.7305)	Prec@1 35.000 (34.355)	Prec@5 65.000 (64.885)
Epoch: [4][370/9018]	Time 0.596 (0.619)	Data 0.001 (0.007)	Loss 2.7528 (2.7296)	Prec@1 30.000 (34.337)	Prec@5 63.000 (64.920)
Epoch: [4][380/9018]	Time 0.601 (0.619)	Data 0.001 (0.007)	Loss 2.5632 (2.7274)	Prec@1 37.000 (34.390)	Prec@5 67.500 (64.966)
Epoch: [4][390/9018]	Time 0.737 (0.619)	Data 0.001 (0.007)	Loss 2.9786 (2.7311)	Prec@1 31.500 (34.330)	Prec@5 63.500 (64.908)
Epoch: [4][400/9018]	Time 0.633 (0.619)	Data 0.001 (0.007)	Loss 2.9244 (2.7319)	Prec@1 34.000 (34.296)	Prec@5 60.000 (64.931)
Epoch: [4][410/9018]	Time 0.594 (0.619)	Data 0.001 (0.006)	Loss 2.8282 (2.7317)	Prec@1 33.000 (34.332)	Prec@5 62.500 (64.936)
Epoch: [4][420/9018]	Time 0.600 (0.619)	Data 0.001 (0.006)	Loss 2.8600 (2.7316)	Prec@1 29.500 (34.352)	Prec@5 63.000 (64.956)
Epoch: [4][430/9018]	Time 0.617 (0.619)	Data 0.001 (0.006)	Loss 2.7070 (2.7317)	Prec@1 37.000 (34.357)	Prec@5 65.500 (64.945)
Epoch: [4][440/9018]	Time 0.604 (0.619)	Data 0.001 (0.006)	Loss 2.7623 (2.7312)	Prec@1 32.500 (34.378)	Prec@5 59.500 (64.926)
Epoch: [4][450/9018]	Time 0.627 (0.618)	Data 0.001 (0.006)	Loss 2.5314 (2.7316)	Prec@1 38.000 (34.344)	Prec@5 67.000 (64.916)
Epoch: [4][460/9018]	Time 0.596 (0.618)	Data 0.001 (0.006)	Loss 2.5206 (2.7303)	Prec@1 37.000 (34.364)	Prec@5 69.000 (64.946)
Epoch: [4][470/9018]	Time 0.601 (0.618)	Data 0.001 (0.006)	Loss 2.7706 (2.7308)	Prec@1 33.500 (34.376)	Prec@5 67.000 (64.933)
Epoch: [4][480/9018]	Time 0.598 (0.618)	Data 0.001 (0.006)	Loss 2.7550 (2.7316)	Prec@1 32.500 (34.352)	Prec@5 65.500 (64.925)
Epoch: [4][490/9018]	Time 0.603 (0.618)	Data 0.001 (0.005)	Loss 2.6169 (2.7313)	Prec@1 36.000 (34.370)	Prec@5 63.000 (64.918)
Epoch: [4][500/9018]	Time 0.601 (0.618)	Data 0.001 (0.005)	Loss 2.9491 (2.7319)	Prec@1 27.500 (34.354)	Prec@5 62.500 (64.902)
Epoch: [4][510/9018]	Time 0.602 (0.618)	Data 0.001 (0.005)	Loss 2.8378 (2.7338)	Prec@1 30.500 (34.289)	Prec@5 66.000 (64.845)
Epoch: [4][520/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 2.8392 (2.7333)	Prec@1 29.500 (34.302)	Prec@5 65.500 (64.857)
Epoch: [4][530/9018]	Time 0.597 (0.618)	Data 0.001 (0.005)	Loss 2.8486 (2.7339)	Prec@1 32.500 (34.283)	Prec@5 59.000 (64.831)
Epoch: [4][540/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.7249 (2.7340)	Prec@1 37.000 (34.317)	Prec@5 62.500 (64.823)
Epoch: [4][550/9018]	Time 0.607 (0.618)	Data 0.001 (0.005)	Loss 2.6852 (2.7343)	Prec@1 36.500 (34.327)	Prec@5 68.000 (64.809)
Epoch: [4][560/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.7694 (2.7338)	Prec@1 32.500 (34.339)	Prec@5 61.000 (64.813)
Epoch: [4][570/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.7175 (2.7333)	Prec@1 31.500 (34.355)	Prec@5 66.000 (64.838)
Epoch: [4][580/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 2.7834 (2.7336)	Prec@1 32.000 (34.344)	Prec@5 64.000 (64.830)
Epoch: [4][590/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 2.9291 (2.7343)	Prec@1 38.000 (34.368)	Prec@5 61.500 (64.816)
Epoch: [4][600/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.6861 (2.7333)	Prec@1 36.000 (34.403)	Prec@5 67.500 (64.812)
Epoch: [4][610/9018]	Time 0.608 (0.618)	Data 0.001 (0.005)	Loss 2.6361 (2.7323)	Prec@1 38.000 (34.434)	Prec@5 66.000 (64.834)
Epoch: [4][620/9018]	Time 0.619 (0.618)	Data 0.001 (0.004)	Loss 2.8132 (2.7331)	Prec@1 35.500 (34.421)	Prec@5 60.000 (64.825)
Epoch: [4][630/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.4510 (2.7316)	Prec@1 39.500 (34.467)	Prec@5 73.500 (64.856)
Epoch: [4][640/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.5355 (2.7317)	Prec@1 36.000 (34.463)	Prec@5 66.000 (64.856)
Epoch: [4][650/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.6408 (2.7325)	Prec@1 37.000 (34.463)	Prec@5 68.000 (64.838)
Epoch: [4][660/9018]	Time 0.608 (0.618)	Data 0.001 (0.004)	Loss 2.8333 (2.7323)	Prec@1 29.000 (34.472)	Prec@5 62.500 (64.831)
Epoch: [4][670/9018]	Time 0.775 (0.618)	Data 0.001 (0.004)	Loss 2.5459 (2.7320)	Prec@1 42.000 (34.472)	Prec@5 66.000 (64.845)
Epoch: [4][680/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 2.8980 (2.7322)	Prec@1 30.500 (34.463)	Prec@5 61.500 (64.849)
Epoch: [4][690/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.4991 (2.7324)	Prec@1 40.500 (34.462)	Prec@5 67.500 (64.836)
Epoch: [4][700/9018]	Time 0.609 (0.617)	Data 0.001 (0.004)	Loss 2.7528 (2.7332)	Prec@1 34.500 (34.441)	Prec@5 63.500 (64.807)
Epoch: [4][710/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.5402 (2.7340)	Prec@1 41.500 (34.432)	Prec@5 70.000 (64.797)
Epoch: [4][720/9018]	Time 0.745 (0.617)	Data 0.001 (0.004)	Loss 2.8628 (2.7339)	Prec@1 29.000 (34.422)	Prec@5 62.000 (64.793)
Epoch: [4][730/9018]	Time 0.613 (0.617)	Data 0.001 (0.004)	Loss 2.7877 (2.7342)	Prec@1 32.000 (34.409)	Prec@5 60.500 (64.780)
Epoch: [4][740/9018]	Time 0.594 (0.617)	Data 0.001 (0.004)	Loss 2.7086 (2.7343)	Prec@1 36.500 (34.398)	Prec@5 67.000 (64.800)
Epoch: [4][750/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 2.7451 (2.7333)	Prec@1 34.500 (34.433)	Prec@5 64.000 (64.829)
Epoch: [4][760/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.4732 (2.7321)	Prec@1 42.000 (34.468)	Prec@5 70.000 (64.852)
Epoch: [4][770/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.4544 (2.7311)	Prec@1 37.500 (34.490)	Prec@5 69.000 (64.866)
Epoch: [4][780/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.9068 (2.7316)	Prec@1 33.000 (34.487)	Prec@5 59.000 (64.849)
Epoch: [4][790/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 2.7717 (2.7309)	Prec@1 31.000 (34.509)	Prec@5 62.500 (64.872)
Epoch: [4][800/9018]	Time 0.606 (0.617)	Data 0.001 (0.004)	Loss 2.7319 (2.7303)	Prec@1 30.500 (34.521)	Prec@5 65.000 (64.883)
Epoch: [4][810/9018]	Time 0.594 (0.617)	Data 0.001 (0.004)	Loss 2.8979 (2.7292)	Prec@1 29.000 (34.536)	Prec@5 59.000 (64.901)
Epoch: [4][820/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.8975 (2.7289)	Prec@1 35.500 (34.538)	Prec@5 60.000 (64.912)
Epoch: [4][830/9018]	Time 0.630 (0.617)	Data 0.001 (0.004)	Loss 2.6303 (2.7286)	Prec@1 34.000 (34.544)	Prec@5 66.000 (64.917)
Epoch: [4][840/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.6661 (2.7286)	Prec@1 36.000 (34.551)	Prec@5 71.000 (64.930)
Epoch: [4][850/9018]	Time 0.631 (0.617)	Data 0.001 (0.003)	Loss 2.7297 (2.7289)	Prec@1 32.500 (34.545)	Prec@5 63.500 (64.910)
Epoch: [4][860/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.7569 (2.7289)	Prec@1 30.000 (34.527)	Prec@5 66.500 (64.919)
Epoch: [4][870/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.7580 (2.7282)	Prec@1 34.000 (34.533)	Prec@5 64.500 (64.935)
Epoch: [4][880/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.6056 (2.7282)	Prec@1 39.500 (34.547)	Prec@5 67.000 (64.940)
Epoch: [4][890/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.7793 (2.7284)	Prec@1 34.500 (34.539)	Prec@5 64.000 (64.948)
Epoch: [4][900/9018]	Time 0.617 (0.616)	Data 0.001 (0.003)	Loss 2.6476 (2.7292)	Prec@1 34.500 (34.536)	Prec@5 67.500 (64.936)
Epoch: [4][910/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.8233 (2.7293)	Prec@1 37.500 (34.538)	Prec@5 66.000 (64.944)
Epoch: [4][920/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.7999 (2.7297)	Prec@1 34.000 (34.538)	Prec@5 61.000 (64.934)
Epoch: [4][930/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.5336 (2.7305)	Prec@1 37.000 (34.513)	Prec@5 70.500 (64.916)
Epoch: [4][940/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.5609 (2.7306)	Prec@1 31.500 (34.502)	Prec@5 70.000 (64.920)
Epoch: [4][950/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.6294 (2.7307)	Prec@1 35.000 (34.496)	Prec@5 64.000 (64.915)
Epoch: [4][960/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.8400 (2.7303)	Prec@1 34.500 (34.501)	Prec@5 63.000 (64.927)
Epoch: [4][970/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.7408 (2.7311)	Prec@1 34.000 (34.494)	Prec@5 64.000 (64.905)
Epoch: [4][980/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.8805 (2.7318)	Prec@1 34.500 (34.475)	Prec@5 60.500 (64.887)
Epoch: [4][990/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.7521 (2.7314)	Prec@1 35.000 (34.493)	Prec@5 64.000 (64.893)
Epoch: [4][1000/9018]	Time 0.729 (0.616)	Data 0.001 (0.003)	Loss 2.9748 (2.7317)	Prec@1 32.000 (34.487)	Prec@5 61.500 (64.887)
Epoch: [4][1010/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 2.8819 (2.7315)	Prec@1 32.500 (34.482)	Prec@5 61.500 (64.903)
Epoch: [4][1020/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.6199 (2.7317)	Prec@1 36.000 (34.478)	Prec@5 67.000 (64.894)
Epoch: [4][1030/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.5187 (2.7313)	Prec@1 39.000 (34.479)	Prec@5 70.000 (64.901)
Epoch: [4][1040/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.6165 (2.7309)	Prec@1 42.000 (34.502)	Prec@5 65.500 (64.914)
Epoch: [4][1050/9018]	Time 0.729 (0.616)	Data 0.001 (0.003)	Loss 2.6511 (2.7310)	Prec@1 33.500 (34.511)	Prec@5 68.000 (64.923)
Epoch: [4][1060/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 2.7330 (2.7302)	Prec@1 37.500 (34.531)	Prec@5 63.000 (64.924)
Epoch: [4][1070/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.7431 (2.7302)	Prec@1 36.000 (34.533)	Prec@5 63.000 (64.920)
Epoch: [4][1080/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.7522 (2.7303)	Prec@1 35.500 (34.534)	Prec@5 64.500 (64.921)
Epoch: [4][1090/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.6858 (2.7305)	Prec@1 38.000 (34.533)	Prec@5 63.500 (64.910)
Epoch: [4][1100/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 2.6642 (2.7308)	Prec@1 36.500 (34.524)	Prec@5 65.500 (64.911)
Epoch: [4][1110/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.7242 (2.7309)	Prec@1 31.500 (34.506)	Prec@5 63.500 (64.911)
Epoch: [4][1120/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.6325 (2.7313)	Prec@1 34.000 (34.500)	Prec@5 65.000 (64.914)
Epoch: [4][1130/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 2.6321 (2.7306)	Prec@1 37.500 (34.507)	Prec@5 65.000 (64.932)
Epoch: [4][1140/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.6848 (2.7314)	Prec@1 40.000 (34.496)	Prec@5 67.000 (64.925)
Epoch: [4][1150/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.7331 (2.7312)	Prec@1 37.000 (34.498)	Prec@5 66.500 (64.924)
Epoch: [4][1160/9018]	Time 0.605 (0.615)	Data 0.001 (0.003)	Loss 2.8596 (2.7314)	Prec@1 26.000 (34.495)	Prec@5 64.000 (64.925)
Epoch: [4][1170/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.4370 (2.7304)	Prec@1 39.500 (34.507)	Prec@5 74.000 (64.942)
Epoch: [4][1180/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 2.7192 (2.7303)	Prec@1 34.000 (34.516)	Prec@5 65.500 (64.946)
Epoch: [4][1190/9018]	Time 0.617 (0.616)	Data 0.001 (0.003)	Loss 2.5515 (2.7302)	Prec@1 37.500 (34.523)	Prec@5 66.500 (64.941)
Epoch: [4][1200/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.8429 (2.7308)	Prec@1 29.500 (34.510)	Prec@5 61.000 (64.935)
Epoch: [4][1210/9018]	Time 0.616 (0.616)	Data 0.001 (0.003)	Loss 2.6546 (2.7313)	Prec@1 34.500 (34.500)	Prec@5 65.000 (64.927)
Epoch: [4][1220/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.6108 (2.7313)	Prec@1 38.000 (34.507)	Prec@5 68.000 (64.928)
Epoch: [4][1230/9018]	Time 0.604 (0.615)	Data 0.001 (0.003)	Loss 3.1511 (2.7315)	Prec@1 28.500 (34.503)	Prec@5 56.500 (64.912)
Epoch: [4][1240/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 2.7271 (2.7318)	Prec@1 33.000 (34.501)	Prec@5 61.000 (64.908)
Epoch: [4][1250/9018]	Time 0.604 (0.615)	Data 0.001 (0.003)	Loss 2.7250 (2.7324)	Prec@1 35.000 (34.492)	Prec@5 63.500 (64.902)
Epoch: [4][1260/9018]	Time 0.613 (0.615)	Data 0.001 (0.003)	Loss 3.0420 (2.7323)	Prec@1 32.500 (34.490)	Prec@5 54.000 (64.898)
Epoch: [4][1270/9018]	Time 0.615 (0.615)	Data 0.001 (0.003)	Loss 2.8408 (2.7324)	Prec@1 33.500 (34.490)	Prec@5 65.500 (64.900)
Epoch: [4][1280/9018]	Time 0.630 (0.615)	Data 0.001 (0.003)	Loss 2.7276 (2.7325)	Prec@1 35.000 (34.486)	Prec@5 62.500 (64.899)
Epoch: [4][1290/9018]	Time 0.603 (0.615)	Data 0.001 (0.003)	Loss 2.7624 (2.7317)	Prec@1 35.000 (34.498)	Prec@5 68.500 (64.921)
Epoch: [4][1300/9018]	Time 0.608 (0.615)	Data 0.001 (0.003)	Loss 2.8227 (2.7315)	Prec@1 30.500 (34.510)	Prec@5 62.000 (64.924)
Epoch: [4][1310/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 3.0433 (2.7318)	Prec@1 28.500 (34.507)	Prec@5 61.000 (64.914)
Epoch: [4][1320/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 3.1327 (2.7321)	Prec@1 31.000 (34.505)	Prec@5 59.000 (64.908)
Epoch: [4][1330/9018]	Time 0.773 (0.615)	Data 0.001 (0.003)	Loss 2.7883 (2.7321)	Prec@1 29.000 (34.497)	Prec@5 61.000 (64.905)
Epoch: [4][1340/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 2.7869 (2.7319)	Prec@1 35.500 (34.507)	Prec@5 63.000 (64.917)
Epoch: [4][1350/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 2.6875 (2.7316)	Prec@1 36.000 (34.510)	Prec@5 65.500 (64.915)
Epoch: [4][1360/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.8027 (2.7314)	Prec@1 36.500 (34.527)	Prec@5 60.500 (64.914)
Epoch: [4][1370/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.8569 (2.7313)	Prec@1 36.500 (34.539)	Prec@5 60.500 (64.914)
Epoch: [4][1380/9018]	Time 0.729 (0.615)	Data 0.001 (0.002)	Loss 2.7022 (2.7313)	Prec@1 32.000 (34.536)	Prec@5 64.000 (64.912)
Epoch: [4][1390/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.7431 (2.7314)	Prec@1 35.500 (34.536)	Prec@5 64.500 (64.923)
Epoch: [4][1400/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.8308 (2.7318)	Prec@1 27.000 (34.524)	Prec@5 62.500 (64.913)
Epoch: [4][1410/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.8520 (2.7321)	Prec@1 34.500 (34.534)	Prec@5 62.000 (64.901)
Epoch: [4][1420/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.8287 (2.7324)	Prec@1 34.000 (34.532)	Prec@5 60.500 (64.897)
Epoch: [4][1430/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6883 (2.7320)	Prec@1 36.000 (34.537)	Prec@5 65.000 (64.904)
Epoch: [4][1440/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5688 (2.7315)	Prec@1 42.000 (34.549)	Prec@5 65.000 (64.915)
Epoch: [4][1450/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.6398 (2.7316)	Prec@1 35.000 (34.548)	Prec@5 67.000 (64.921)
Epoch: [4][1460/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.8367 (2.7311)	Prec@1 31.500 (34.551)	Prec@5 64.000 (64.937)
Epoch: [4][1470/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7869 (2.7311)	Prec@1 33.000 (34.549)	Prec@5 67.500 (64.942)
Epoch: [4][1480/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.7116 (2.7309)	Prec@1 33.500 (34.551)	Prec@5 67.500 (64.948)
Epoch: [4][1490/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7598 (2.7308)	Prec@1 35.500 (34.552)	Prec@5 62.000 (64.951)
Epoch: [4][1500/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.3470 (2.7305)	Prec@1 39.500 (34.551)	Prec@5 72.000 (64.958)
Epoch: [4][1510/9018]	Time 0.602 (0.615)	Data 0.003 (0.002)	Loss 2.9328 (2.7303)	Prec@1 30.500 (34.561)	Prec@5 60.000 (64.969)
Epoch: [4][1520/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.9554 (2.7307)	Prec@1 28.500 (34.550)	Prec@5 60.500 (64.967)
Epoch: [4][1530/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.8669 (2.7310)	Prec@1 30.000 (34.543)	Prec@5 63.000 (64.966)
Epoch: [4][1540/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5639 (2.7311)	Prec@1 39.000 (34.544)	Prec@5 71.000 (64.969)
Epoch: [4][1550/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.7783 (2.7311)	Prec@1 33.000 (34.549)	Prec@5 61.500 (64.972)
Epoch: [4][1560/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.7401 (2.7313)	Prec@1 35.000 (34.543)	Prec@5 63.500 (64.965)
Epoch: [4][1570/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.6094 (2.7312)	Prec@1 37.000 (34.547)	Prec@5 69.000 (64.967)
Epoch: [4][1580/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5398 (2.7306)	Prec@1 40.500 (34.565)	Prec@5 69.000 (64.978)
Epoch: [4][1590/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.6843 (2.7305)	Prec@1 33.500 (34.572)	Prec@5 68.000 (64.975)
Epoch: [4][1600/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.7188 (2.7305)	Prec@1 33.000 (34.568)	Prec@5 66.000 (64.974)
Epoch: [4][1610/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.7794 (2.7301)	Prec@1 34.500 (34.576)	Prec@5 62.000 (64.984)
Epoch: [4][1620/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7240 (2.7303)	Prec@1 34.500 (34.577)	Prec@5 68.500 (64.983)
Epoch: [4][1630/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.5922 (2.7304)	Prec@1 39.000 (34.586)	Prec@5 69.000 (64.970)
Epoch: [4][1640/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.9258 (2.7304)	Prec@1 32.500 (34.582)	Prec@5 62.500 (64.964)
Epoch: [4][1650/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.7315 (2.7301)	Prec@1 31.500 (34.588)	Prec@5 64.000 (64.968)
Epoch: [4][1660/9018]	Time 0.739 (0.615)	Data 0.001 (0.002)	Loss 2.7675 (2.7301)	Prec@1 31.500 (34.591)	Prec@5 64.000 (64.966)
Epoch: [4][1670/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.7138 (2.7297)	Prec@1 35.000 (34.589)	Prec@5 61.500 (64.973)
Epoch: [4][1680/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7808 (2.7293)	Prec@1 34.500 (34.600)	Prec@5 63.500 (64.985)
Epoch: [4][1690/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.7471 (2.7295)	Prec@1 35.000 (34.600)	Prec@5 64.000 (64.980)
Epoch: [4][1700/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.9081 (2.7296)	Prec@1 35.000 (34.606)	Prec@5 58.500 (64.975)
Epoch: [4][1710/9018]	Time 0.744 (0.615)	Data 0.001 (0.002)	Loss 2.7176 (2.7291)	Prec@1 34.500 (34.614)	Prec@5 69.500 (64.984)
Epoch: [4][1720/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7238 (2.7290)	Prec@1 35.500 (34.620)	Prec@5 65.000 (64.985)
Epoch: [4][1730/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6407 (2.7295)	Prec@1 37.000 (34.608)	Prec@5 66.000 (64.975)
Epoch: [4][1740/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.9462 (2.7294)	Prec@1 31.500 (34.616)	Prec@5 60.500 (64.971)
Epoch: [4][1750/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4977 (2.7295)	Prec@1 40.000 (34.617)	Prec@5 70.500 (64.969)
Epoch: [4][1760/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.6670 (2.7295)	Prec@1 37.000 (34.618)	Prec@5 64.000 (64.970)
Epoch: [4][1770/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.7575 (2.7296)	Prec@1 33.000 (34.615)	Prec@5 61.000 (64.971)
Epoch: [4][1780/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.9027 (2.7302)	Prec@1 31.500 (34.606)	Prec@5 60.000 (64.957)
Epoch: [4][1790/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.8780 (2.7302)	Prec@1 33.000 (34.608)	Prec@5 63.000 (64.963)
Epoch: [4][1800/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.7321 (2.7300)	Prec@1 32.500 (34.602)	Prec@5 63.500 (64.966)
Epoch: [4][1810/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.6222 (2.7299)	Prec@1 35.000 (34.602)	Prec@5 69.500 (64.969)
Epoch: [4][1820/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.9039 (2.7298)	Prec@1 29.500 (34.601)	Prec@5 63.000 (64.970)
Epoch: [4][1830/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.6819 (2.7297)	Prec@1 37.500 (34.608)	Prec@5 70.000 (64.978)
Epoch: [4][1840/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.7421 (2.7299)	Prec@1 33.500 (34.603)	Prec@5 63.000 (64.973)
Epoch: [4][1850/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7401 (2.7297)	Prec@1 34.000 (34.594)	Prec@5 62.500 (64.975)
Epoch: [4][1860/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7964 (2.7296)	Prec@1 34.000 (34.598)	Prec@5 61.500 (64.978)
Epoch: [4][1870/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.8143 (2.7296)	Prec@1 36.500 (34.600)	Prec@5 61.500 (64.970)
Epoch: [4][1880/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.5499 (2.7294)	Prec@1 38.500 (34.597)	Prec@5 71.000 (64.973)
Epoch: [4][1890/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7469 (2.7293)	Prec@1 31.000 (34.597)	Prec@5 66.000 (64.977)
Epoch: [4][1900/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 3.1131 (2.7295)	Prec@1 27.000 (34.587)	Prec@5 55.500 (64.971)
Epoch: [4][1910/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5911 (2.7292)	Prec@1 38.000 (34.583)	Prec@5 63.000 (64.972)
Epoch: [4][1920/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.6411 (2.7293)	Prec@1 35.500 (34.579)	Prec@5 67.500 (64.972)
Epoch: [4][1930/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6490 (2.7294)	Prec@1 35.000 (34.579)	Prec@5 63.500 (64.971)
Epoch: [4][1940/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6652 (2.7295)	Prec@1 37.000 (34.576)	Prec@5 63.500 (64.962)
Epoch: [4][1950/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6965 (2.7293)	Prec@1 33.500 (34.578)	Prec@5 65.500 (64.969)
Epoch: [4][1960/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.5751 (2.7291)	Prec@1 39.500 (34.586)	Prec@5 67.000 (64.968)
Epoch: [4][1970/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.6034 (2.7290)	Prec@1 38.000 (34.586)	Prec@5 67.000 (64.970)
Epoch: [4][1980/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6594 (2.7289)	Prec@1 35.000 (34.596)	Prec@5 66.500 (64.968)
Epoch: [4][1990/9018]	Time 0.752 (0.615)	Data 0.001 (0.002)	Loss 2.7977 (2.7290)	Prec@1 33.500 (34.594)	Prec@5 65.500 (64.972)
Epoch: [4][2000/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7750 (2.7291)	Prec@1 30.000 (34.587)	Prec@5 64.000 (64.972)
Epoch: [4][2010/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.6335 (2.7288)	Prec@1 34.000 (34.583)	Prec@5 66.500 (64.973)
Epoch: [4][2020/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.9130 (2.7287)	Prec@1 32.000 (34.580)	Prec@5 62.000 (64.976)
Epoch: [4][2030/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.7383 (2.7282)	Prec@1 35.500 (34.590)	Prec@5 60.500 (64.989)
Epoch: [4][2040/9018]	Time 0.732 (0.615)	Data 0.001 (0.002)	Loss 2.5658 (2.7282)	Prec@1 41.000 (34.590)	Prec@5 69.000 (64.983)
Epoch: [4][2050/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.3414 (2.7279)	Prec@1 40.500 (34.593)	Prec@5 71.000 (64.991)
Epoch: [4][2060/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7938 (2.7280)	Prec@1 32.500 (34.596)	Prec@5 62.500 (64.992)
Epoch: [4][2070/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.7997 (2.7280)	Prec@1 32.000 (34.593)	Prec@5 65.500 (64.992)
Epoch: [4][2080/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7663 (2.7280)	Prec@1 36.000 (34.594)	Prec@5 63.500 (64.992)
Epoch: [4][2090/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6462 (2.7281)	Prec@1 34.000 (34.594)	Prec@5 64.500 (64.988)
Epoch: [4][2100/9018]	Time 0.588 (0.614)	Data 0.001 (0.002)	Loss 2.8016 (2.7282)	Prec@1 32.500 (34.599)	Prec@5 61.500 (64.984)
Epoch: [4][2110/9018]	Time 0.604 (0.614)	Data 0.001 (0.002)	Loss 2.5052 (2.7283)	Prec@1 40.500 (34.598)	Prec@5 71.000 (64.988)
Epoch: [4][2120/9018]	Time 0.596 (0.614)	Data 0.001 (0.002)	Loss 2.6100 (2.7285)	Prec@1 36.500 (34.589)	Prec@5 67.000 (64.984)
Epoch: [4][2130/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.8131 (2.7284)	Prec@1 32.500 (34.589)	Prec@5 61.000 (64.987)
Epoch: [4][2140/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 3.1385 (2.7286)	Prec@1 28.000 (34.583)	Prec@5 60.500 (64.985)
Epoch: [4][2150/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.5507 (2.7287)	Prec@1 39.000 (34.586)	Prec@5 69.500 (64.984)
Epoch: [4][2160/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.5847 (2.7289)	Prec@1 33.000 (34.579)	Prec@5 73.000 (64.976)
Epoch: [4][2170/9018]	Time 0.598 (0.614)	Data 0.001 (0.002)	Loss 2.7804 (2.7286)	Prec@1 36.000 (34.586)	Prec@5 63.000 (64.984)
Epoch: [4][2180/9018]	Time 0.594 (0.614)	Data 0.001 (0.002)	Loss 2.8140 (2.7290)	Prec@1 34.500 (34.590)	Prec@5 59.500 (64.975)
Epoch: [4][2190/9018]	Time 0.596 (0.614)	Data 0.001 (0.002)	Loss 2.8513 (2.7291)	Prec@1 34.500 (34.586)	Prec@5 61.500 (64.966)
Epoch: [4][2200/9018]	Time 0.609 (0.614)	Data 0.001 (0.002)	Loss 2.8174 (2.7291)	Prec@1 33.500 (34.585)	Prec@5 63.500 (64.964)
Epoch: [4][2210/9018]	Time 0.594 (0.614)	Data 0.001 (0.002)	Loss 2.5216 (2.7292)	Prec@1 40.000 (34.585)	Prec@5 71.000 (64.967)
Epoch: [4][2220/9018]	Time 0.630 (0.614)	Data 0.001 (0.002)	Loss 2.7212 (2.7288)	Prec@1 35.500 (34.591)	Prec@5 66.000 (64.975)
Epoch: [4][2230/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.7600 (2.7289)	Prec@1 35.500 (34.590)	Prec@5 64.500 (64.974)
Epoch: [4][2240/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5897 (2.7293)	Prec@1 38.000 (34.589)	Prec@5 69.000 (64.966)
Epoch: [4][2250/9018]	Time 0.624 (0.614)	Data 0.001 (0.002)	Loss 2.8552 (2.7293)	Prec@1 30.000 (34.585)	Prec@5 64.500 (64.969)
Epoch: [4][2260/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6174 (2.7292)	Prec@1 30.500 (34.583)	Prec@5 64.000 (64.969)
Epoch: [4][2270/9018]	Time 0.602 (0.614)	Data 0.001 (0.002)	Loss 2.7542 (2.7294)	Prec@1 32.000 (34.582)	Prec@5 63.500 (64.963)
Epoch: [4][2280/9018]	Time 0.620 (0.614)	Data 0.001 (0.002)	Loss 2.5358 (2.7292)	Prec@1 34.000 (34.581)	Prec@5 67.500 (64.966)
Epoch: [4][2290/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.6089 (2.7293)	Prec@1 39.500 (34.580)	Prec@5 68.000 (64.963)
Epoch: [4][2300/9018]	Time 0.625 (0.614)	Data 0.001 (0.002)	Loss 2.7506 (2.7296)	Prec@1 37.000 (34.583)	Prec@5 66.500 (64.956)
Epoch: [4][2310/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.6965 (2.7295)	Prec@1 31.500 (34.585)	Prec@5 68.500 (64.952)
Epoch: [4][2320/9018]	Time 0.732 (0.615)	Data 0.001 (0.002)	Loss 2.7881 (2.7293)	Prec@1 32.000 (34.584)	Prec@5 62.000 (64.950)
Epoch: [4][2330/9018]	Time 0.594 (0.614)	Data 0.001 (0.002)	Loss 2.8625 (2.7295)	Prec@1 32.500 (34.579)	Prec@5 63.000 (64.950)
Epoch: [4][2340/9018]	Time 0.607 (0.614)	Data 0.001 (0.002)	Loss 2.6311 (2.7292)	Prec@1 35.000 (34.583)	Prec@5 66.000 (64.955)
Epoch: [4][2350/9018]	Time 0.609 (0.614)	Data 0.001 (0.002)	Loss 2.7085 (2.7291)	Prec@1 33.000 (34.584)	Prec@5 67.000 (64.959)
Epoch: [4][2360/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.6714 (2.7291)	Prec@1 35.000 (34.584)	Prec@5 64.500 (64.957)
Epoch: [4][2370/9018]	Time 0.759 (0.615)	Data 0.001 (0.002)	Loss 2.7358 (2.7292)	Prec@1 34.500 (34.581)	Prec@5 64.000 (64.953)
Epoch: [4][2380/9018]	Time 0.598 (0.614)	Data 0.001 (0.002)	Loss 2.6393 (2.7293)	Prec@1 37.000 (34.580)	Prec@5 69.000 (64.948)
Epoch: [4][2390/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.6119 (2.7293)	Prec@1 36.000 (34.580)	Prec@5 65.000 (64.947)
Epoch: [4][2400/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.7371 (2.7290)	Prec@1 38.000 (34.588)	Prec@5 66.500 (64.953)
Epoch: [4][2410/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5217 (2.7289)	Prec@1 38.500 (34.583)	Prec@5 64.000 (64.952)
Epoch: [4][2420/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.8329 (2.7285)	Prec@1 29.500 (34.590)	Prec@5 66.500 (64.961)
Epoch: [4][2430/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.7238 (2.7282)	Prec@1 39.500 (34.601)	Prec@5 65.500 (64.966)
Epoch: [4][2440/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.8318 (2.7283)	Prec@1 32.500 (34.599)	Prec@5 64.000 (64.963)
Epoch: [4][2450/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 3.0061 (2.7281)	Prec@1 31.500 (34.603)	Prec@5 59.000 (64.964)
Epoch: [4][2460/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.9039 (2.7281)	Prec@1 30.000 (34.598)	Prec@5 64.000 (64.966)
Epoch: [4][2470/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7513 (2.7280)	Prec@1 31.500 (34.601)	Prec@5 66.500 (64.972)
Epoch: [4][2480/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.6219 (2.7280)	Prec@1 38.000 (34.602)	Prec@5 66.000 (64.972)
Epoch: [4][2490/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.8086 (2.7278)	Prec@1 36.500 (34.604)	Prec@5 65.000 (64.978)
Epoch: [4][2500/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.6796 (2.7281)	Prec@1 35.500 (34.597)	Prec@5 64.000 (64.968)
Epoch: [4][2510/9018]	Time 0.594 (0.615)	Data 0.002 (0.002)	Loss 2.9919 (2.7282)	Prec@1 30.500 (34.594)	Prec@5 61.500 (64.966)
Epoch: [4][2520/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6782 (2.7282)	Prec@1 38.500 (34.596)	Prec@5 66.000 (64.967)
Epoch: [4][2530/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.9089 (2.7287)	Prec@1 30.000 (34.587)	Prec@5 63.500 (64.959)
Epoch: [4][2540/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.8178 (2.7287)	Prec@1 29.500 (34.585)	Prec@5 61.000 (64.958)
Epoch: [4][2550/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.7529 (2.7288)	Prec@1 35.500 (34.583)	Prec@5 61.500 (64.957)
Epoch: [4][2560/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.3885 (2.7286)	Prec@1 40.000 (34.583)	Prec@5 71.000 (64.956)
Epoch: [4][2570/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.8008 (2.7288)	Prec@1 35.500 (34.579)	Prec@5 63.000 (64.946)
Epoch: [4][2580/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.7144 (2.7288)	Prec@1 34.000 (34.576)	Prec@5 65.000 (64.946)
Epoch: [4][2590/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.8334 (2.7288)	Prec@1 30.500 (34.572)	Prec@5 58.000 (64.947)
Epoch: [4][2600/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6706 (2.7290)	Prec@1 37.500 (34.566)	Prec@5 67.000 (64.942)
Epoch: [4][2610/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.9040 (2.7293)	Prec@1 33.000 (34.561)	Prec@5 62.000 (64.935)
Epoch: [4][2620/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.7079 (2.7289)	Prec@1 35.000 (34.565)	Prec@5 61.000 (64.936)
Epoch: [4][2630/9018]	Time 0.641 (0.615)	Data 0.001 (0.002)	Loss 2.7038 (2.7289)	Prec@1 34.500 (34.574)	Prec@5 64.000 (64.940)
Epoch: [4][2640/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5023 (2.7290)	Prec@1 36.500 (34.574)	Prec@5 67.000 (64.938)
Epoch: [4][2650/9018]	Time 0.718 (0.615)	Data 0.001 (0.002)	Loss 2.6861 (2.7291)	Prec@1 38.500 (34.570)	Prec@5 65.500 (64.935)
Epoch: [4][2660/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.6513 (2.7290)	Prec@1 37.000 (34.575)	Prec@5 64.500 (64.939)
Epoch: [4][2670/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.7636 (2.7288)	Prec@1 34.000 (34.580)	Prec@5 62.500 (64.940)
Epoch: [4][2680/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.8170 (2.7288)	Prec@1 34.500 (34.580)	Prec@5 62.500 (64.937)
Epoch: [4][2690/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4929 (2.7288)	Prec@1 40.500 (34.582)	Prec@5 73.500 (64.935)
Epoch: [4][2700/9018]	Time 0.734 (0.615)	Data 0.001 (0.002)	Loss 2.8231 (2.7288)	Prec@1 33.000 (34.580)	Prec@5 63.000 (64.940)
Epoch: [4][2710/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5034 (2.7284)	Prec@1 39.500 (34.586)	Prec@5 66.500 (64.948)
Epoch: [4][2720/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.7797 (2.7281)	Prec@1 32.500 (34.590)	Prec@5 62.500 (64.951)
Epoch: [4][2730/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.5679 (2.7278)	Prec@1 39.500 (34.599)	Prec@5 68.500 (64.958)
Epoch: [4][2740/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.8178 (2.7277)	Prec@1 34.000 (34.604)	Prec@5 62.000 (64.960)
Epoch: [4][2750/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.9787 (2.7276)	Prec@1 29.500 (34.606)	Prec@5 57.500 (64.961)
Epoch: [4][2760/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.6226 (2.7274)	Prec@1 35.500 (34.612)	Prec@5 69.000 (64.968)
Epoch: [4][2770/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.9290 (2.7276)	Prec@1 31.500 (34.606)	Prec@5 60.500 (64.964)
Epoch: [4][2780/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.8353 (2.7276)	Prec@1 35.000 (34.608)	Prec@5 63.500 (64.962)
Epoch: [4][2790/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7525 (2.7274)	Prec@1 35.000 (34.614)	Prec@5 62.000 (64.965)
Epoch: [4][2800/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7335 (2.7275)	Prec@1 36.000 (34.612)	Prec@5 63.000 (64.961)
Epoch: [4][2810/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.7923 (2.7273)	Prec@1 35.500 (34.615)	Prec@5 67.000 (64.969)
Epoch: [4][2820/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.5184 (2.7270)	Prec@1 38.000 (34.618)	Prec@5 68.000 (64.973)
Epoch: [4][2830/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.6754 (2.7269)	Prec@1 31.500 (34.619)	Prec@5 65.500 (64.974)
Epoch: [4][2840/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5346 (2.7268)	Prec@1 40.500 (34.623)	Prec@5 71.500 (64.976)
Epoch: [4][2850/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.6402 (2.7266)	Prec@1 34.000 (34.629)	Prec@5 71.000 (64.981)
Epoch: [4][2860/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.7203 (2.7265)	Prec@1 31.500 (34.632)	Prec@5 66.500 (64.981)
Epoch: [4][2870/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6510 (2.7263)	Prec@1 34.500 (34.632)	Prec@5 64.500 (64.982)
Epoch: [4][2880/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.6609 (2.7265)	Prec@1 34.000 (34.627)	Prec@5 65.000 (64.983)
Epoch: [4][2890/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.7190 (2.7265)	Prec@1 33.500 (34.622)	Prec@5 64.500 (64.983)
Epoch: [4][2900/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5433 (2.7266)	Prec@1 33.500 (34.620)	Prec@5 71.500 (64.982)
Epoch: [4][2910/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.6315 (2.7264)	Prec@1 34.500 (34.621)	Prec@5 65.500 (64.985)
Epoch: [4][2920/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6364 (2.7265)	Prec@1 34.500 (34.620)	Prec@5 63.000 (64.983)
Epoch: [4][2930/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.9679 (2.7263)	Prec@1 33.000 (34.624)	Prec@5 57.000 (64.980)
Epoch: [4][2940/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7154 (2.7264)	Prec@1 34.500 (34.627)	Prec@5 63.000 (64.982)
Epoch: [4][2950/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.8953 (2.7265)	Prec@1 30.500 (34.626)	Prec@5 62.500 (64.980)
Epoch: [4][2960/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.6238 (2.7267)	Prec@1 39.000 (34.622)	Prec@5 69.500 (64.973)
Epoch: [4][2970/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.9498 (2.7267)	Prec@1 28.500 (34.620)	Prec@5 62.000 (64.974)
Epoch: [4][2980/9018]	Time 0.743 (0.615)	Data 0.001 (0.002)	Loss 2.6832 (2.7269)	Prec@1 37.500 (34.618)	Prec@5 61.500 (64.967)
Epoch: [4][2990/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.6749 (2.7267)	Prec@1 35.000 (34.619)	Prec@5 63.000 (64.974)
Epoch: [4][3000/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.7368 (2.7267)	Prec@1 36.000 (34.619)	Prec@5 66.000 (64.974)
Epoch: [4][3010/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.6661 (2.7265)	Prec@1 40.000 (34.626)	Prec@5 63.000 (64.980)
Epoch: [4][3020/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.8007 (2.7266)	Prec@1 33.500 (34.626)	Prec@5 63.000 (64.978)
Epoch: [4][3030/9018]	Time 0.747 (0.615)	Data 0.001 (0.002)	Loss 2.8907 (2.7269)	Prec@1 33.500 (34.618)	Prec@5 60.500 (64.969)
Epoch: [4][3040/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.5798 (2.7270)	Prec@1 40.000 (34.625)	Prec@5 67.500 (64.967)
Epoch: [4][3050/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 2.6279 (2.7270)	Prec@1 38.500 (34.621)	Prec@5 63.000 (64.963)
Epoch: [4][3060/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.7919 (2.7269)	Prec@1 30.000 (34.622)	Prec@5 62.500 (64.966)
Epoch: [4][3070/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.7503 (2.7266)	Prec@1 36.500 (34.626)	Prec@5 64.000 (64.973)
Epoch: [4][3080/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.9730 (2.7267)	Prec@1 29.000 (34.623)	Prec@5 61.000 (64.970)
Epoch: [4][3090/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.6209 (2.7265)	Prec@1 37.000 (34.626)	Prec@5 67.500 (64.973)
Epoch: [4][3100/9018]	Time 0.589 (0.615)	Data 0.001 (0.002)	Loss 2.7935 (2.7264)	Prec@1 32.000 (34.630)	Prec@5 65.000 (64.976)
Epoch: [4][3110/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.6443 (2.7265)	Prec@1 35.000 (34.626)	Prec@5 66.000 (64.975)
Epoch: [4][3120/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5190 (2.7265)	Prec@1 37.000 (34.622)	Prec@5 70.500 (64.974)
Epoch: [4][3130/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 2.5715 (2.7264)	Prec@1 38.500 (34.623)	Prec@5 67.500 (64.979)
Epoch: [4][3140/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.8421 (2.7267)	Prec@1 30.000 (34.618)	Prec@5 64.000 (64.975)
Epoch: [4][3150/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.7087 (2.7268)	Prec@1 38.500 (34.615)	Prec@5 64.000 (64.973)
Epoch: [4][3160/9018]	Time 0.588 (0.615)	Data 0.001 (0.002)	Loss 3.0416 (2.7267)	Prec@1 33.000 (34.616)	Prec@5 58.500 (64.975)
Epoch: [4][3170/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.7165 (2.7269)	Prec@1 30.500 (34.615)	Prec@5 66.500 (64.976)
Epoch: [4][3180/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.9133 (2.7271)	Prec@1 34.500 (34.614)	Prec@5 62.000 (64.971)
Epoch: [4][3190/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6372 (2.7271)	Prec@1 34.500 (34.615)	Prec@5 66.000 (64.970)
Epoch: [4][3200/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6874 (2.7274)	Prec@1 35.500 (34.614)	Prec@5 68.500 (64.965)
Epoch: [4][3210/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.7391 (2.7275)	Prec@1 32.500 (34.614)	Prec@5 65.000 (64.963)
Epoch: [4][3220/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.7160 (2.7274)	Prec@1 39.000 (34.622)	Prec@5 63.500 (64.963)
Epoch: [4][3230/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.7572 (2.7274)	Prec@1 35.500 (34.621)	Prec@5 67.500 (64.967)
Epoch: [4][3240/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.5229 (2.7275)	Prec@1 36.000 (34.620)	Prec@5 69.500 (64.970)
Epoch: [4][3250/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.7510 (2.7274)	Prec@1 36.500 (34.624)	Prec@5 65.500 (64.972)
Epoch: [4][3260/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.7144 (2.7275)	Prec@1 34.000 (34.623)	Prec@5 63.500 (64.972)
Epoch: [4][3270/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.7751 (2.7275)	Prec@1 39.500 (34.628)	Prec@5 64.000 (64.976)
Epoch: [4][3280/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.7243 (2.7272)	Prec@1 32.000 (34.636)	Prec@5 64.000 (64.978)
Epoch: [4][3290/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.8480 (2.7272)	Prec@1 33.000 (34.636)	Prec@5 62.000 (64.978)
Epoch: [4][3300/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 2.8319 (2.7273)	Prec@1 29.500 (34.632)	Prec@5 66.000 (64.978)
Epoch: [4][3310/9018]	Time 0.730 (0.615)	Data 0.001 (0.002)	Loss 2.8633 (2.7274)	Prec@1 33.000 (34.632)	Prec@5 65.000 (64.976)
Epoch: [4][3320/9018]	Time 0.638 (0.615)	Data 0.001 (0.002)	Loss 2.9616 (2.7273)	Prec@1 27.500 (34.630)	Prec@5 59.500 (64.979)
Epoch: [4][3330/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.9569 (2.7274)	Prec@1 34.000 (34.631)	Prec@5 55.500 (64.978)
Epoch: [4][3340/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8184 (2.7275)	Prec@1 34.000 (34.632)	Prec@5 63.500 (64.978)
Epoch: [4][3350/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5604 (2.7276)	Prec@1 41.500 (34.633)	Prec@5 70.500 (64.976)
Epoch: [4][3360/9018]	Time 0.753 (0.615)	Data 0.001 (0.001)	Loss 2.7349 (2.7277)	Prec@1 31.500 (34.632)	Prec@5 65.000 (64.975)
Epoch: [4][3370/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6657 (2.7278)	Prec@1 34.000 (34.634)	Prec@5 71.000 (64.972)
Epoch: [4][3380/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7873 (2.7278)	Prec@1 34.000 (34.634)	Prec@5 65.000 (64.974)
Epoch: [4][3390/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7708 (2.7278)	Prec@1 33.500 (34.633)	Prec@5 67.000 (64.976)
Epoch: [4][3400/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6744 (2.7280)	Prec@1 37.000 (34.630)	Prec@5 66.500 (64.973)
Epoch: [4][3410/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5387 (2.7278)	Prec@1 38.000 (34.632)	Prec@5 68.500 (64.977)
Epoch: [4][3420/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7228 (2.7276)	Prec@1 36.500 (34.633)	Prec@5 67.000 (64.984)
Epoch: [4][3430/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.6157 (2.7276)	Prec@1 43.500 (34.633)	Prec@5 67.000 (64.983)
Epoch: [4][3440/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.7740 (2.7279)	Prec@1 32.500 (34.633)	Prec@5 61.500 (64.979)
Epoch: [4][3450/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.9052 (2.7279)	Prec@1 31.000 (34.627)	Prec@5 62.000 (64.978)
Epoch: [4][3460/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4953 (2.7280)	Prec@1 36.500 (34.624)	Prec@5 69.000 (64.976)
Epoch: [4][3470/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.8688 (2.7280)	Prec@1 27.000 (34.625)	Prec@5 63.500 (64.976)
Epoch: [4][3480/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.9352 (2.7282)	Prec@1 34.000 (34.617)	Prec@5 61.500 (64.975)
Epoch: [4][3490/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8381 (2.7282)	Prec@1 30.500 (34.614)	Prec@5 61.500 (64.973)
Epoch: [4][3500/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6803 (2.7281)	Prec@1 35.000 (34.619)	Prec@5 66.500 (64.977)
Epoch: [4][3510/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.9768 (2.7280)	Prec@1 27.500 (34.618)	Prec@5 57.500 (64.977)
Epoch: [4][3520/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6088 (2.7281)	Prec@1 36.500 (34.614)	Prec@5 68.000 (64.975)
Epoch: [4][3530/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7567 (2.7280)	Prec@1 35.000 (34.616)	Prec@5 68.500 (64.977)
Epoch: [4][3540/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6746 (2.7280)	Prec@1 36.500 (34.614)	Prec@5 68.000 (64.978)
Epoch: [4][3550/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7071 (2.7280)	Prec@1 36.000 (34.614)	Prec@5 66.000 (64.980)
Epoch: [4][3560/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7253 (2.7280)	Prec@1 35.500 (34.616)	Prec@5 64.000 (64.981)
Epoch: [4][3570/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6900 (2.7281)	Prec@1 33.500 (34.615)	Prec@5 65.000 (64.979)
Epoch: [4][3580/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.9102 (2.7281)	Prec@1 30.000 (34.611)	Prec@5 63.500 (64.979)
Epoch: [4][3590/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6767 (2.7278)	Prec@1 35.500 (34.613)	Prec@5 64.500 (64.983)
Epoch: [4][3600/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6946 (2.7276)	Prec@1 36.000 (34.615)	Prec@5 66.000 (64.991)
Epoch: [4][3610/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6048 (2.7277)	Prec@1 39.500 (34.614)	Prec@5 64.500 (64.989)
Epoch: [4][3620/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.8256 (2.7278)	Prec@1 31.500 (34.611)	Prec@5 64.500 (64.986)
Epoch: [4][3630/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7412 (2.7281)	Prec@1 31.000 (34.608)	Prec@5 62.500 (64.983)
Epoch: [4][3640/9018]	Time 0.764 (0.615)	Data 0.001 (0.001)	Loss 2.6606 (2.7279)	Prec@1 35.000 (34.608)	Prec@5 67.000 (64.988)
Epoch: [4][3650/9018]	Time 0.608 (0.615)	Data 0.003 (0.001)	Loss 3.0934 (2.7281)	Prec@1 32.000 (34.609)	Prec@5 58.500 (64.985)
Epoch: [4][3660/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5880 (2.7281)	Prec@1 36.500 (34.606)	Prec@5 69.000 (64.985)
Epoch: [4][3670/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6117 (2.7279)	Prec@1 35.000 (34.609)	Prec@5 66.000 (64.991)
Epoch: [4][3680/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7416 (2.7280)	Prec@1 34.000 (34.610)	Prec@5 66.000 (64.989)
Epoch: [4][3690/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.7590 (2.7279)	Prec@1 34.500 (34.611)	Prec@5 66.500 (64.994)
Epoch: [4][3700/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5594 (2.7277)	Prec@1 38.000 (34.614)	Prec@5 64.500 (64.995)
Epoch: [4][3710/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7755 (2.7277)	Prec@1 32.000 (34.614)	Prec@5 65.000 (64.992)
Epoch: [4][3720/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7163 (2.7275)	Prec@1 36.000 (34.615)	Prec@5 62.500 (64.995)
Epoch: [4][3730/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9648 (2.7277)	Prec@1 30.500 (34.612)	Prec@5 61.500 (64.994)
Epoch: [4][3740/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5231 (2.7275)	Prec@1 40.000 (34.615)	Prec@5 68.000 (65.000)
Epoch: [4][3750/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7196 (2.7274)	Prec@1 35.000 (34.620)	Prec@5 68.000 (65.004)
Epoch: [4][3760/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6963 (2.7272)	Prec@1 34.500 (34.621)	Prec@5 64.000 (65.007)
Epoch: [4][3770/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7896 (2.7272)	Prec@1 33.000 (34.620)	Prec@5 61.000 (65.006)
Epoch: [4][3780/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7847 (2.7272)	Prec@1 33.500 (34.623)	Prec@5 64.500 (65.007)
Epoch: [4][3790/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7844 (2.7271)	Prec@1 33.000 (34.622)	Prec@5 66.500 (65.009)
Epoch: [4][3800/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4908 (2.7270)	Prec@1 37.500 (34.626)	Prec@5 66.500 (65.011)
Epoch: [4][3810/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8244 (2.7272)	Prec@1 31.000 (34.622)	Prec@5 62.000 (65.005)
Epoch: [4][3820/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4352 (2.7272)	Prec@1 39.500 (34.620)	Prec@5 67.000 (65.003)
Epoch: [4][3830/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5168 (2.7274)	Prec@1 39.500 (34.619)	Prec@5 72.000 (65.002)
Epoch: [4][3840/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 3.0457 (2.7275)	Prec@1 31.500 (34.616)	Prec@5 60.000 (64.999)
Epoch: [4][3850/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9355 (2.7275)	Prec@1 34.000 (34.618)	Prec@5 58.000 (64.996)
Epoch: [4][3860/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9060 (2.7277)	Prec@1 29.500 (34.616)	Prec@5 62.000 (64.995)
Epoch: [4][3870/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5782 (2.7276)	Prec@1 39.000 (34.617)	Prec@5 71.000 (64.997)
Epoch: [4][3880/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7855 (2.7276)	Prec@1 34.000 (34.616)	Prec@5 61.500 (64.997)
Epoch: [4][3890/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5328 (2.7275)	Prec@1 40.500 (34.621)	Prec@5 69.500 (65.003)
Epoch: [4][3900/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8332 (2.7275)	Prec@1 30.500 (34.620)	Prec@5 64.500 (65.001)
Epoch: [4][3910/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7857 (2.7275)	Prec@1 33.500 (34.622)	Prec@5 64.500 (65.004)
Epoch: [4][3920/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7000 (2.7274)	Prec@1 33.000 (34.623)	Prec@5 66.000 (65.007)
Epoch: [4][3930/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5806 (2.7273)	Prec@1 31.000 (34.623)	Prec@5 68.500 (65.008)
Epoch: [4][3940/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5532 (2.7272)	Prec@1 42.000 (34.624)	Prec@5 70.000 (65.011)
Epoch: [4][3950/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7714 (2.7271)	Prec@1 37.000 (34.627)	Prec@5 66.500 (65.012)
Epoch: [4][3960/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5258 (2.7271)	Prec@1 38.000 (34.627)	Prec@5 72.000 (65.012)
Epoch: [4][3970/9018]	Time 0.770 (0.615)	Data 0.001 (0.001)	Loss 2.7895 (2.7269)	Prec@1 33.500 (34.633)	Prec@5 63.000 (65.017)
Epoch: [4][3980/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4651 (2.7267)	Prec@1 35.000 (34.636)	Prec@5 72.000 (65.023)
Epoch: [4][3990/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8957 (2.7267)	Prec@1 32.500 (34.640)	Prec@5 63.500 (65.025)
Epoch: [4][4000/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5061 (2.7268)	Prec@1 36.500 (34.641)	Prec@5 74.000 (65.026)
Epoch: [4][4010/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7736 (2.7267)	Prec@1 30.500 (34.641)	Prec@5 65.000 (65.028)
Epoch: [4][4020/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.9407 (2.7267)	Prec@1 33.000 (34.643)	Prec@5 62.500 (65.027)
Epoch: [4][4030/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6465 (2.7266)	Prec@1 43.000 (34.647)	Prec@5 64.000 (65.028)
Epoch: [4][4040/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.9056 (2.7265)	Prec@1 31.000 (34.652)	Prec@5 64.500 (65.031)
Epoch: [4][4050/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6418 (2.7265)	Prec@1 35.500 (34.653)	Prec@5 65.500 (65.029)
Epoch: [4][4060/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8014 (2.7266)	Prec@1 30.500 (34.652)	Prec@5 63.500 (65.027)
Epoch: [4][4070/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8584 (2.7268)	Prec@1 36.000 (34.653)	Prec@5 63.500 (65.027)
Epoch: [4][4080/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.9176 (2.7268)	Prec@1 31.500 (34.653)	Prec@5 58.500 (65.025)
Epoch: [4][4090/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6446 (2.7269)	Prec@1 37.000 (34.650)	Prec@5 66.500 (65.022)
Epoch: [4][4100/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.8085 (2.7268)	Prec@1 32.000 (34.649)	Prec@5 62.500 (65.024)
Epoch: [4][4110/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7768 (2.7267)	Prec@1 34.000 (34.652)	Prec@5 62.000 (65.024)
Epoch: [4][4120/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8251 (2.7267)	Prec@1 31.500 (34.652)	Prec@5 63.500 (65.023)
Epoch: [4][4130/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6005 (2.7265)	Prec@1 40.000 (34.654)	Prec@5 69.500 (65.029)
Epoch: [4][4140/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5497 (2.7266)	Prec@1 39.500 (34.651)	Prec@5 68.000 (65.026)
Epoch: [4][4150/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.9793 (2.7266)	Prec@1 31.000 (34.652)	Prec@5 61.500 (65.027)
Epoch: [4][4160/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.9579 (2.7265)	Prec@1 27.000 (34.652)	Prec@5 60.500 (65.028)
Epoch: [4][4170/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6481 (2.7265)	Prec@1 34.500 (34.652)	Prec@5 66.000 (65.027)
Epoch: [4][4180/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6100 (2.7264)	Prec@1 39.500 (34.655)	Prec@5 70.000 (65.031)
Epoch: [4][4190/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5563 (2.7263)	Prec@1 41.000 (34.656)	Prec@5 66.000 (65.031)
Epoch: [4][4200/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7341 (2.7262)	Prec@1 37.000 (34.655)	Prec@5 63.500 (65.034)
Epoch: [4][4210/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7759 (2.7263)	Prec@1 36.500 (34.655)	Prec@5 63.000 (65.033)
Epoch: [4][4220/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6981 (2.7262)	Prec@1 37.500 (34.658)	Prec@5 67.000 (65.035)
Epoch: [4][4230/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.9316 (2.7262)	Prec@1 32.000 (34.655)	Prec@5 62.500 (65.035)
Epoch: [4][4240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7021 (2.7262)	Prec@1 33.500 (34.654)	Prec@5 62.500 (65.035)
Epoch: [4][4250/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7332 (2.7261)	Prec@1 34.500 (34.654)	Prec@5 69.500 (65.039)
Epoch: [4][4260/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6823 (2.7261)	Prec@1 32.500 (34.653)	Prec@5 67.500 (65.041)
Epoch: [4][4270/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8025 (2.7261)	Prec@1 30.000 (34.653)	Prec@5 62.000 (65.042)
Epoch: [4][4280/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.8755 (2.7263)	Prec@1 34.500 (34.650)	Prec@5 64.500 (65.038)
Epoch: [4][4290/9018]	Time 0.611 (0.615)	Data 0.003 (0.001)	Loss 2.6225 (2.7263)	Prec@1 34.500 (34.654)	Prec@5 68.500 (65.037)
Epoch: [4][4300/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.6109 (2.7261)	Prec@1 34.500 (34.655)	Prec@5 68.000 (65.038)
Epoch: [4][4310/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5452 (2.7261)	Prec@1 35.000 (34.656)	Prec@5 66.500 (65.038)
Epoch: [4][4320/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7948 (2.7261)	Prec@1 32.500 (34.656)	Prec@5 63.000 (65.038)
Epoch: [4][4330/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6178 (2.7259)	Prec@1 35.500 (34.659)	Prec@5 68.000 (65.042)
Epoch: [4][4340/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8610 (2.7261)	Prec@1 32.000 (34.651)	Prec@5 62.500 (65.036)
Epoch: [4][4350/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 2.7592 (2.7262)	Prec@1 34.500 (34.646)	Prec@5 62.000 (65.036)
Epoch: [4][4360/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6073 (2.7263)	Prec@1 36.500 (34.646)	Prec@5 66.500 (65.035)
Epoch: [4][4370/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6519 (2.7261)	Prec@1 36.000 (34.647)	Prec@5 62.500 (65.035)
Epoch: [4][4380/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6042 (2.7261)	Prec@1 33.500 (34.646)	Prec@5 72.500 (65.038)
Epoch: [4][4390/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7120 (2.7260)	Prec@1 32.000 (34.646)	Prec@5 66.500 (65.043)
Epoch: [4][4400/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.8487 (2.7260)	Prec@1 32.000 (34.644)	Prec@5 59.500 (65.043)
Epoch: [4][4410/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7421 (2.7260)	Prec@1 37.500 (34.644)	Prec@5 65.000 (65.045)
Epoch: [4][4420/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9404 (2.7259)	Prec@1 30.500 (34.644)	Prec@5 61.500 (65.046)
Epoch: [4][4430/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5500 (2.7260)	Prec@1 40.500 (34.646)	Prec@5 67.000 (65.046)
Epoch: [4][4440/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7614 (2.7261)	Prec@1 34.500 (34.646)	Prec@5 61.000 (65.042)
Epoch: [4][4450/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.9077 (2.7261)	Prec@1 28.000 (34.643)	Prec@5 63.000 (65.042)
Epoch: [4][4460/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7802 (2.7262)	Prec@1 32.000 (34.639)	Prec@5 65.500 (65.041)
Epoch: [4][4470/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7887 (2.7262)	Prec@1 27.500 (34.638)	Prec@5 63.000 (65.041)
Epoch: [4][4480/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.8666 (2.7264)	Prec@1 30.000 (34.634)	Prec@5 65.500 (65.038)
Epoch: [4][4490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6664 (2.7262)	Prec@1 35.500 (34.638)	Prec@5 64.500 (65.044)
Epoch: [4][4500/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7538 (2.7262)	Prec@1 36.500 (34.639)	Prec@5 64.000 (65.044)
Epoch: [4][4510/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5121 (2.7262)	Prec@1 41.000 (34.641)	Prec@5 69.000 (65.046)
Epoch: [4][4520/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.9335 (2.7262)	Prec@1 31.500 (34.640)	Prec@5 59.000 (65.043)
Epoch: [4][4530/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.9005 (2.7263)	Prec@1 33.000 (34.639)	Prec@5 60.000 (65.041)
Epoch: [4][4540/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7513 (2.7262)	Prec@1 35.500 (34.640)	Prec@5 63.500 (65.044)
Epoch: [4][4550/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6636 (2.7261)	Prec@1 35.500 (34.645)	Prec@5 66.500 (65.049)
Epoch: [4][4560/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7181 (2.7261)	Prec@1 37.000 (34.645)	Prec@5 62.500 (65.046)
Epoch: [4][4570/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7680 (2.7261)	Prec@1 36.000 (34.644)	Prec@5 61.500 (65.045)
Epoch: [4][4580/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7032 (2.7261)	Prec@1 34.000 (34.641)	Prec@5 65.500 (65.046)
Epoch: [4][4590/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7808 (2.7261)	Prec@1 31.500 (34.637)	Prec@5 60.000 (65.046)
Epoch: [4][4600/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7964 (2.7261)	Prec@1 36.000 (34.638)	Prec@5 66.000 (65.044)
Epoch: [4][4610/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6807 (2.7261)	Prec@1 35.500 (34.638)	Prec@5 67.000 (65.044)
Epoch: [4][4620/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7574 (2.7261)	Prec@1 32.500 (34.640)	Prec@5 67.000 (65.046)
Epoch: [4][4630/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.6729 (2.7260)	Prec@1 35.000 (34.643)	Prec@5 67.500 (65.050)
Epoch: [4][4640/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5254 (2.7259)	Prec@1 37.500 (34.642)	Prec@5 66.500 (65.051)
Epoch: [4][4650/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5595 (2.7258)	Prec@1 38.000 (34.642)	Prec@5 70.500 (65.054)
Epoch: [4][4660/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4996 (2.7258)	Prec@1 37.000 (34.643)	Prec@5 67.000 (65.057)
Epoch: [4][4670/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5621 (2.7257)	Prec@1 37.000 (34.645)	Prec@5 68.500 (65.056)
Epoch: [4][4680/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.8107 (2.7257)	Prec@1 37.000 (34.644)	Prec@5 67.000 (65.059)
Epoch: [4][4690/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7511 (2.7256)	Prec@1 31.000 (34.647)	Prec@5 65.500 (65.063)
Epoch: [4][4700/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8136 (2.7258)	Prec@1 35.000 (34.644)	Prec@5 60.500 (65.059)
Epoch: [4][4710/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7199 (2.7257)	Prec@1 31.000 (34.644)	Prec@5 65.500 (65.061)
Epoch: [4][4720/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7119 (2.7256)	Prec@1 37.000 (34.645)	Prec@5 65.000 (65.063)
Epoch: [4][4730/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7017 (2.7256)	Prec@1 34.500 (34.648)	Prec@5 64.500 (65.061)
Epoch: [4][4740/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6602 (2.7255)	Prec@1 40.000 (34.649)	Prec@5 65.000 (65.065)
Epoch: [4][4750/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7268 (2.7256)	Prec@1 32.500 (34.646)	Prec@5 64.500 (65.062)
Epoch: [4][4760/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5978 (2.7256)	Prec@1 36.500 (34.644)	Prec@5 68.500 (65.060)
Epoch: [4][4770/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8333 (2.7255)	Prec@1 35.000 (34.645)	Prec@5 62.000 (65.062)
Epoch: [4][4780/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7590 (2.7254)	Prec@1 35.000 (34.647)	Prec@5 67.500 (65.063)
Epoch: [4][4790/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5840 (2.7255)	Prec@1 35.000 (34.646)	Prec@5 69.000 (65.063)
Epoch: [4][4800/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8610 (2.7255)	Prec@1 32.500 (34.647)	Prec@5 62.500 (65.062)
Epoch: [4][4810/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6267 (2.7255)	Prec@1 34.500 (34.645)	Prec@5 70.000 (65.062)
Epoch: [4][4820/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6466 (2.7256)	Prec@1 35.500 (34.644)	Prec@5 67.500 (65.060)
Epoch: [4][4830/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8956 (2.7257)	Prec@1 29.500 (34.643)	Prec@5 61.500 (65.059)
Epoch: [4][4840/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.8423 (2.7256)	Prec@1 36.500 (34.646)	Prec@5 62.500 (65.062)
Epoch: [4][4850/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6410 (2.7256)	Prec@1 37.000 (34.647)	Prec@5 68.500 (65.062)
Epoch: [4][4860/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6046 (2.7255)	Prec@1 39.000 (34.652)	Prec@5 71.000 (65.066)
Epoch: [4][4870/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7860 (2.7255)	Prec@1 35.000 (34.653)	Prec@5 63.000 (65.066)
Epoch: [4][4880/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8658 (2.7255)	Prec@1 30.500 (34.654)	Prec@5 59.500 (65.065)
Epoch: [4][4890/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4947 (2.7255)	Prec@1 39.000 (34.657)	Prec@5 65.000 (65.063)
Epoch: [4][4900/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6437 (2.7254)	Prec@1 32.000 (34.655)	Prec@5 65.500 (65.063)
Epoch: [4][4910/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5933 (2.7254)	Prec@1 40.000 (34.656)	Prec@5 67.000 (65.063)
Epoch: [4][4920/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.8050 (2.7254)	Prec@1 31.000 (34.654)	Prec@5 64.500 (65.064)
Epoch: [4][4930/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7230 (2.7254)	Prec@1 37.500 (34.656)	Prec@5 65.000 (65.064)
Epoch: [4][4940/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6185 (2.7253)	Prec@1 41.500 (34.656)	Prec@5 67.000 (65.066)
Epoch: [4][4950/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7760 (2.7252)	Prec@1 34.000 (34.658)	Prec@5 65.000 (65.069)
Epoch: [4][4960/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.7996 (2.7251)	Prec@1 31.500 (34.661)	Prec@5 62.500 (65.072)
Epoch: [4][4970/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7551 (2.7250)	Prec@1 35.000 (34.662)	Prec@5 65.500 (65.076)
Epoch: [4][4980/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6433 (2.7250)	Prec@1 34.500 (34.661)	Prec@5 65.000 (65.076)
Epoch: [4][4990/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5942 (2.7249)	Prec@1 40.500 (34.664)	Prec@5 67.000 (65.078)
Epoch: [4][5000/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8011 (2.7249)	Prec@1 39.500 (34.664)	Prec@5 65.500 (65.076)
Epoch: [4][5010/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.6652 (2.7249)	Prec@1 34.000 (34.664)	Prec@5 65.000 (65.077)
Epoch: [4][5020/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.8738 (2.7249)	Prec@1 28.500 (34.665)	Prec@5 65.000 (65.078)
Epoch: [4][5030/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8407 (2.7249)	Prec@1 33.000 (34.665)	Prec@5 62.500 (65.076)
Epoch: [4][5040/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.9411 (2.7249)	Prec@1 30.000 (34.667)	Prec@5 61.000 (65.076)
Epoch: [4][5050/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4591 (2.7248)	Prec@1 41.500 (34.667)	Prec@5 68.500 (65.077)
Epoch: [4][5060/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6986 (2.7250)	Prec@1 33.500 (34.664)	Prec@5 69.000 (65.075)
Epoch: [4][5070/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6640 (2.7249)	Prec@1 32.000 (34.663)	Prec@5 65.500 (65.077)
Epoch: [4][5080/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.7701 (2.7250)	Prec@1 34.500 (34.661)	Prec@5 63.000 (65.074)
Epoch: [4][5090/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.7035 (2.7249)	Prec@1 35.500 (34.662)	Prec@5 65.000 (65.076)
Epoch: [4][5100/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6563 (2.7249)	Prec@1 34.000 (34.660)	Prec@5 63.500 (65.076)
Epoch: [4][5110/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7700 (2.7247)	Prec@1 34.500 (34.663)	Prec@5 63.000 (65.079)
Epoch: [4][5120/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.5229 (2.7247)	Prec@1 37.000 (34.665)	Prec@5 66.000 (65.082)
Epoch: [4][5130/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5786 (2.7246)	Prec@1 39.000 (34.667)	Prec@5 68.000 (65.081)
Epoch: [4][5140/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7448 (2.7246)	Prec@1 30.000 (34.667)	Prec@5 66.000 (65.085)
Epoch: [4][5150/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9066 (2.7245)	Prec@1 31.000 (34.667)	Prec@5 61.000 (65.085)
Epoch: [4][5160/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6051 (2.7244)	Prec@1 37.500 (34.668)	Prec@5 68.500 (65.088)
Epoch: [4][5170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8274 (2.7244)	Prec@1 37.000 (34.670)	Prec@5 63.500 (65.090)
Epoch: [4][5180/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7245 (2.7244)	Prec@1 33.500 (34.668)	Prec@5 65.000 (65.088)
Epoch: [4][5190/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6317 (2.7246)	Prec@1 42.000 (34.669)	Prec@5 68.000 (65.084)
Epoch: [4][5200/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.7155 (2.7246)	Prec@1 34.500 (34.669)	Prec@5 66.500 (65.085)
Epoch: [4][5210/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5490 (2.7244)	Prec@1 38.500 (34.673)	Prec@5 69.500 (65.087)
Epoch: [4][5220/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4085 (2.7243)	Prec@1 40.500 (34.675)	Prec@5 77.000 (65.090)
Epoch: [4][5230/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6440 (2.7242)	Prec@1 36.500 (34.679)	Prec@5 64.500 (65.091)
Epoch: [4][5240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4217 (2.7242)	Prec@1 41.000 (34.678)	Prec@5 69.500 (65.091)
Epoch: [4][5250/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7524 (2.7242)	Prec@1 34.500 (34.677)	Prec@5 64.500 (65.092)
Epoch: [4][5260/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4044 (2.7241)	Prec@1 40.500 (34.680)	Prec@5 67.500 (65.094)
Epoch: [4][5270/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4490 (2.7241)	Prec@1 38.500 (34.681)	Prec@5 71.000 (65.093)
Epoch: [4][5280/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7549 (2.7241)	Prec@1 35.500 (34.683)	Prec@5 67.500 (65.094)
Epoch: [4][5290/9018]	Time 0.764 (0.615)	Data 0.001 (0.001)	Loss 2.6650 (2.7241)	Prec@1 33.500 (34.682)	Prec@5 66.000 (65.095)
Epoch: [4][5300/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6774 (2.7240)	Prec@1 38.500 (34.684)	Prec@5 62.000 (65.098)
Epoch: [4][5310/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.8136 (2.7239)	Prec@1 29.500 (34.682)	Prec@5 60.000 (65.098)
Epoch: [4][5320/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6759 (2.7239)	Prec@1 31.500 (34.683)	Prec@5 68.500 (65.101)
Epoch: [4][5330/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6087 (2.7239)	Prec@1 35.000 (34.682)	Prec@5 69.500 (65.101)
Epoch: [4][5340/9018]	Time 0.710 (0.615)	Data 0.001 (0.001)	Loss 2.8253 (2.7239)	Prec@1 27.500 (34.682)	Prec@5 62.000 (65.101)
Epoch: [4][5350/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8983 (2.7240)	Prec@1 29.000 (34.680)	Prec@5 63.000 (65.098)
Epoch: [4][5360/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6432 (2.7240)	Prec@1 35.500 (34.682)	Prec@5 69.000 (65.099)
Epoch: [4][5370/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6804 (2.7239)	Prec@1 38.500 (34.684)	Prec@5 64.500 (65.099)
Epoch: [4][5380/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5564 (2.7239)	Prec@1 33.000 (34.683)	Prec@5 66.500 (65.100)
Epoch: [4][5390/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6771 (2.7239)	Prec@1 36.000 (34.682)	Prec@5 61.500 (65.099)
Epoch: [4][5400/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6738 (2.7239)	Prec@1 39.500 (34.681)	Prec@5 65.000 (65.100)
Epoch: [4][5410/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7384 (2.7238)	Prec@1 35.000 (34.682)	Prec@5 64.500 (65.103)
Epoch: [4][5420/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7763 (2.7239)	Prec@1 32.500 (34.683)	Prec@5 70.000 (65.104)
Epoch: [4][5430/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6046 (2.7238)	Prec@1 40.500 (34.685)	Prec@5 66.000 (65.106)
Epoch: [4][5440/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5934 (2.7236)	Prec@1 37.000 (34.687)	Prec@5 69.000 (65.112)
Epoch: [4][5450/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7454 (2.7235)	Prec@1 33.000 (34.689)	Prec@5 66.500 (65.114)
Epoch: [4][5460/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7614 (2.7235)	Prec@1 30.500 (34.686)	Prec@5 61.000 (65.114)
Epoch: [4][5470/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.9941 (2.7237)	Prec@1 27.000 (34.683)	Prec@5 59.500 (65.110)
Epoch: [4][5480/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6639 (2.7237)	Prec@1 32.000 (34.680)	Prec@5 67.000 (65.111)
Epoch: [4][5490/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7037 (2.7237)	Prec@1 37.000 (34.680)	Prec@5 66.000 (65.111)
Epoch: [4][5500/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5640 (2.7235)	Prec@1 35.500 (34.681)	Prec@5 66.000 (65.113)
Epoch: [4][5510/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6913 (2.7236)	Prec@1 36.500 (34.679)	Prec@5 63.000 (65.110)
Epoch: [4][5520/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4445 (2.7234)	Prec@1 39.000 (34.681)	Prec@5 72.500 (65.113)
Epoch: [4][5530/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4551 (2.7234)	Prec@1 39.500 (34.683)	Prec@5 69.000 (65.113)
Epoch: [4][5540/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7303 (2.7233)	Prec@1 37.500 (34.686)	Prec@5 64.500 (65.115)
Epoch: [4][5550/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5844 (2.7233)	Prec@1 38.000 (34.684)	Prec@5 67.000 (65.113)
Epoch: [4][5560/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5908 (2.7233)	Prec@1 41.500 (34.685)	Prec@5 67.000 (65.114)
Epoch: [4][5570/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5060 (2.7232)	Prec@1 38.500 (34.686)	Prec@5 69.000 (65.117)
Epoch: [4][5580/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5614 (2.7232)	Prec@1 37.500 (34.687)	Prec@5 67.000 (65.116)
Epoch: [4][5590/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8920 (2.7234)	Prec@1 32.000 (34.685)	Prec@5 60.500 (65.113)
Epoch: [4][5600/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8070 (2.7232)	Prec@1 30.500 (34.686)	Prec@5 62.000 (65.115)
Epoch: [4][5610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6970 (2.7232)	Prec@1 37.000 (34.686)	Prec@5 66.500 (65.117)
Epoch: [4][5620/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.8148 (2.7232)	Prec@1 30.000 (34.686)	Prec@5 62.000 (65.117)
Epoch: [4][5630/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.8726 (2.7232)	Prec@1 33.000 (34.688)	Prec@5 64.000 (65.121)
Epoch: [4][5640/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8372 (2.7232)	Prec@1 33.500 (34.687)	Prec@5 63.500 (65.120)
Epoch: [4][5650/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 3.0006 (2.7232)	Prec@1 30.500 (34.686)	Prec@5 62.500 (65.122)
Epoch: [4][5660/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8154 (2.7232)	Prec@1 33.000 (34.685)	Prec@5 61.000 (65.120)
Epoch: [4][5670/9018]	Time 0.755 (0.615)	Data 0.001 (0.001)	Loss 2.8542 (2.7232)	Prec@1 35.500 (34.685)	Prec@5 63.000 (65.120)
Epoch: [4][5680/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8277 (2.7232)	Prec@1 33.000 (34.686)	Prec@5 62.500 (65.123)
Epoch: [4][5690/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6981 (2.7232)	Prec@1 39.000 (34.686)	Prec@5 65.500 (65.123)
Epoch: [4][5700/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6627 (2.7232)	Prec@1 39.000 (34.684)	Prec@5 67.000 (65.120)
Epoch: [4][5710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5595 (2.7231)	Prec@1 36.000 (34.687)	Prec@5 66.000 (65.123)
Epoch: [4][5720/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7217 (2.7232)	Prec@1 34.000 (34.683)	Prec@5 63.500 (65.122)
Epoch: [4][5730/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8199 (2.7232)	Prec@1 34.500 (34.684)	Prec@5 62.500 (65.122)
Epoch: [4][5740/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9031 (2.7233)	Prec@1 34.000 (34.682)	Prec@5 60.000 (65.119)
Epoch: [4][5750/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5914 (2.7232)	Prec@1 36.000 (34.684)	Prec@5 68.500 (65.120)
Epoch: [4][5760/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8694 (2.7233)	Prec@1 28.500 (34.682)	Prec@5 63.500 (65.120)
Epoch: [4][5770/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4125 (2.7231)	Prec@1 39.500 (34.684)	Prec@5 72.000 (65.125)
Epoch: [4][5780/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.2688 (2.7232)	Prec@1 28.000 (34.682)	Prec@5 57.000 (65.122)
Epoch: [4][5790/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7663 (2.7232)	Prec@1 32.000 (34.682)	Prec@5 61.500 (65.121)
Epoch: [4][5800/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7771 (2.7231)	Prec@1 33.500 (34.681)	Prec@5 61.000 (65.122)
Epoch: [4][5810/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6127 (2.7231)	Prec@1 39.000 (34.681)	Prec@5 67.500 (65.123)
Epoch: [4][5820/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7208 (2.7231)	Prec@1 32.500 (34.681)	Prec@5 65.500 (65.123)
Epoch: [4][5830/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7040 (2.7230)	Prec@1 38.500 (34.683)	Prec@5 64.500 (65.124)
Epoch: [4][5840/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4865 (2.7231)	Prec@1 36.500 (34.683)	Prec@5 71.500 (65.122)
Epoch: [4][5850/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.8306 (2.7231)	Prec@1 31.000 (34.680)	Prec@5 67.000 (65.121)
Epoch: [4][5860/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6813 (2.7231)	Prec@1 33.500 (34.680)	Prec@5 65.000 (65.122)
Epoch: [4][5870/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7229 (2.7231)	Prec@1 41.500 (34.682)	Prec@5 62.500 (65.123)
Epoch: [4][5880/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7264 (2.7230)	Prec@1 35.000 (34.685)	Prec@5 63.000 (65.123)
Epoch: [4][5890/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7987 (2.7231)	Prec@1 28.500 (34.682)	Prec@5 66.500 (65.121)
Epoch: [4][5900/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7013 (2.7230)	Prec@1 34.000 (34.683)	Prec@5 68.000 (65.122)
Epoch: [4][5910/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7501 (2.7230)	Prec@1 35.000 (34.684)	Prec@5 63.500 (65.122)
Epoch: [4][5920/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5327 (2.7228)	Prec@1 38.000 (34.685)	Prec@5 66.500 (65.123)
Epoch: [4][5930/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7044 (2.7229)	Prec@1 36.000 (34.685)	Prec@5 64.000 (65.123)
Epoch: [4][5940/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5855 (2.7229)	Prec@1 39.000 (34.685)	Prec@5 69.500 (65.122)
Epoch: [4][5950/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.9825 (2.7230)	Prec@1 34.000 (34.684)	Prec@5 59.500 (65.120)
Epoch: [4][5960/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6233 (2.7229)	Prec@1 28.500 (34.685)	Prec@5 64.500 (65.122)
Epoch: [4][5970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5547 (2.7229)	Prec@1 35.500 (34.687)	Prec@5 68.000 (65.122)
Epoch: [4][5980/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7467 (2.7228)	Prec@1 37.000 (34.687)	Prec@5 64.000 (65.123)
Epoch: [4][5990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5101 (2.7228)	Prec@1 41.500 (34.690)	Prec@5 72.500 (65.125)
Epoch: [4][6000/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 2.6769 (2.7227)	Prec@1 39.000 (34.694)	Prec@5 67.500 (65.127)
Epoch: [4][6010/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7396 (2.7227)	Prec@1 33.000 (34.696)	Prec@5 64.500 (65.127)
Epoch: [4][6020/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7880 (2.7227)	Prec@1 30.000 (34.695)	Prec@5 62.500 (65.125)
Epoch: [4][6030/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7865 (2.7228)	Prec@1 29.500 (34.693)	Prec@5 65.000 (65.123)
Epoch: [4][6040/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.8840 (2.7228)	Prec@1 31.500 (34.693)	Prec@5 62.500 (65.123)
Epoch: [4][6050/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.8029 (2.7229)	Prec@1 36.000 (34.692)	Prec@5 63.000 (65.122)
Epoch: [4][6060/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6213 (2.7227)	Prec@1 36.500 (34.695)	Prec@5 67.000 (65.125)
Epoch: [4][6070/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 3.0017 (2.7228)	Prec@1 34.000 (34.695)	Prec@5 59.500 (65.124)
Epoch: [4][6080/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8331 (2.7228)	Prec@1 31.000 (34.695)	Prec@5 60.000 (65.121)
Epoch: [4][6090/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.8063 (2.7229)	Prec@1 34.500 (34.695)	Prec@5 63.500 (65.119)
Epoch: [4][6100/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6274 (2.7230)	Prec@1 35.500 (34.692)	Prec@5 67.500 (65.119)
Epoch: [4][6110/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5409 (2.7229)	Prec@1 33.500 (34.694)	Prec@5 72.000 (65.122)
Epoch: [4][6120/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6228 (2.7229)	Prec@1 37.000 (34.693)	Prec@5 68.000 (65.122)
Epoch: [4][6130/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 3.0325 (2.7230)	Prec@1 30.500 (34.688)	Prec@5 59.500 (65.120)
Epoch: [4][6140/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6425 (2.7229)	Prec@1 33.500 (34.690)	Prec@5 64.500 (65.121)
Epoch: [4][6150/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8001 (2.7229)	Prec@1 32.000 (34.691)	Prec@5 61.500 (65.123)
Epoch: [4][6160/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7907 (2.7230)	Prec@1 31.000 (34.690)	Prec@5 67.000 (65.121)
Epoch: [4][6170/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5991 (2.7229)	Prec@1 35.000 (34.690)	Prec@5 71.000 (65.124)
Epoch: [4][6180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7006 (2.7229)	Prec@1 36.500 (34.688)	Prec@5 66.000 (65.124)
Epoch: [4][6190/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3025 (2.7228)	Prec@1 38.000 (34.688)	Prec@5 73.000 (65.127)
Epoch: [4][6200/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9442 (2.7228)	Prec@1 27.500 (34.686)	Prec@5 62.500 (65.127)
Epoch: [4][6210/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7924 (2.7228)	Prec@1 34.000 (34.689)	Prec@5 64.000 (65.127)
Epoch: [4][6220/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.9424 (2.7228)	Prec@1 34.000 (34.687)	Prec@5 61.500 (65.128)
Epoch: [4][6230/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6332 (2.7229)	Prec@1 33.500 (34.687)	Prec@5 68.500 (65.126)
Epoch: [4][6240/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8255 (2.7230)	Prec@1 36.500 (34.683)	Prec@5 64.500 (65.124)
Epoch: [4][6250/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6905 (2.7230)	Prec@1 34.000 (34.684)	Prec@5 64.500 (65.123)
Epoch: [4][6260/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7955 (2.7230)	Prec@1 37.500 (34.684)	Prec@5 64.500 (65.123)
Epoch: [4][6270/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5564 (2.7229)	Prec@1 34.500 (34.686)	Prec@5 68.000 (65.126)
Epoch: [4][6280/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.7027 (2.7228)	Prec@1 38.000 (34.689)	Prec@5 66.500 (65.128)
Epoch: [4][6290/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7142 (2.7227)	Prec@1 34.000 (34.691)	Prec@5 66.000 (65.131)
Epoch: [4][6300/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6949 (2.7228)	Prec@1 33.500 (34.690)	Prec@5 61.500 (65.130)
Epoch: [4][6310/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8403 (2.7228)	Prec@1 33.500 (34.689)	Prec@5 61.000 (65.128)
Epoch: [4][6320/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8792 (2.7227)	Prec@1 35.000 (34.692)	Prec@5 62.000 (65.129)
Epoch: [4][6330/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.8261 (2.7227)	Prec@1 33.000 (34.691)	Prec@5 65.000 (65.130)
Epoch: [4][6340/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4639 (2.7227)	Prec@1 39.000 (34.693)	Prec@5 69.500 (65.131)
Epoch: [4][6350/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5767 (2.7226)	Prec@1 35.000 (34.694)	Prec@5 63.500 (65.133)
Epoch: [4][6360/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7668 (2.7225)	Prec@1 34.000 (34.696)	Prec@5 64.000 (65.134)
Epoch: [4][6370/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5480 (2.7224)	Prec@1 39.000 (34.696)	Prec@5 66.000 (65.134)
Epoch: [4][6380/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.7590 (2.7224)	Prec@1 35.000 (34.699)	Prec@5 65.000 (65.134)
Epoch: [4][6390/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8142 (2.7224)	Prec@1 31.500 (34.701)	Prec@5 64.000 (65.133)
Epoch: [4][6400/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7448 (2.7225)	Prec@1 33.000 (34.701)	Prec@5 66.500 (65.131)
Epoch: [4][6410/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7098 (2.7224)	Prec@1 35.000 (34.701)	Prec@5 64.500 (65.131)
Epoch: [4][6420/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5056 (2.7223)	Prec@1 37.000 (34.701)	Prec@5 68.000 (65.131)
Epoch: [4][6430/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6484 (2.7223)	Prec@1 38.500 (34.704)	Prec@5 63.500 (65.133)
Epoch: [4][6440/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.9345 (2.7224)	Prec@1 27.500 (34.702)	Prec@5 60.000 (65.132)
Epoch: [4][6450/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7504 (2.7224)	Prec@1 32.000 (34.703)	Prec@5 62.000 (65.132)
Epoch: [4][6460/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7301 (2.7223)	Prec@1 35.000 (34.704)	Prec@5 64.500 (65.132)
Epoch: [4][6470/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.8744 (2.7223)	Prec@1 35.000 (34.704)	Prec@5 62.500 (65.130)
Epoch: [4][6480/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5458 (2.7223)	Prec@1 35.500 (34.705)	Prec@5 68.000 (65.131)
Epoch: [4][6490/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6919 (2.7223)	Prec@1 33.000 (34.705)	Prec@5 65.500 (65.132)
Epoch: [4][6500/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6657 (2.7222)	Prec@1 32.500 (34.704)	Prec@5 65.000 (65.134)
Epoch: [4][6510/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5860 (2.7221)	Prec@1 38.000 (34.706)	Prec@5 70.000 (65.139)
Epoch: [4][6520/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.8939 (2.7221)	Prec@1 33.500 (34.708)	Prec@5 59.500 (65.140)
Epoch: [4][6530/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7477 (2.7222)	Prec@1 38.000 (34.708)	Prec@5 66.500 (65.140)
Epoch: [4][6540/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6040 (2.7222)	Prec@1 32.000 (34.709)	Prec@5 70.000 (65.142)
Epoch: [4][6550/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7381 (2.7222)	Prec@1 30.500 (34.706)	Prec@5 65.500 (65.143)
Epoch: [4][6560/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5929 (2.7222)	Prec@1 36.500 (34.706)	Prec@5 65.000 (65.142)
Epoch: [4][6570/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6470 (2.7222)	Prec@1 35.000 (34.706)	Prec@5 66.500 (65.142)
Epoch: [4][6580/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6967 (2.7221)	Prec@1 34.000 (34.709)	Prec@5 66.000 (65.145)
Epoch: [4][6590/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5519 (2.7222)	Prec@1 39.500 (34.707)	Prec@5 64.500 (65.142)
Epoch: [4][6600/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7011 (2.7222)	Prec@1 37.000 (34.708)	Prec@5 62.500 (65.140)
Epoch: [4][6610/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.5629 (2.7223)	Prec@1 40.500 (34.705)	Prec@5 69.500 (65.139)
Epoch: [4][6620/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6982 (2.7223)	Prec@1 32.000 (34.704)	Prec@5 70.000 (65.140)
Epoch: [4][6630/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8691 (2.7223)	Prec@1 31.500 (34.703)	Prec@5 63.500 (65.140)
Epoch: [4][6640/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5868 (2.7223)	Prec@1 38.500 (34.703)	Prec@5 65.000 (65.140)
Epoch: [4][6650/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.9219 (2.7224)	Prec@1 31.500 (34.702)	Prec@5 60.500 (65.137)
Epoch: [4][6660/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.7590 (2.7224)	Prec@1 38.500 (34.700)	Prec@5 62.000 (65.135)
Epoch: [4][6670/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8112 (2.7225)	Prec@1 32.000 (34.699)	Prec@5 65.000 (65.135)
Epoch: [4][6680/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8018 (2.7225)	Prec@1 33.500 (34.699)	Prec@5 62.500 (65.134)
Epoch: [4][6690/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5033 (2.7224)	Prec@1 40.500 (34.700)	Prec@5 70.500 (65.135)
Epoch: [4][6700/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6410 (2.7223)	Prec@1 35.500 (34.702)	Prec@5 65.500 (65.138)
Epoch: [4][6710/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6025 (2.7222)	Prec@1 33.500 (34.704)	Prec@5 66.000 (65.139)
Epoch: [4][6720/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6689 (2.7223)	Prec@1 36.500 (34.703)	Prec@5 64.000 (65.137)
Epoch: [4][6730/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7090 (2.7222)	Prec@1 38.500 (34.706)	Prec@5 66.500 (65.140)
Epoch: [4][6740/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5926 (2.7222)	Prec@1 35.500 (34.707)	Prec@5 69.500 (65.139)
Epoch: [4][6750/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6037 (2.7221)	Prec@1 37.000 (34.707)	Prec@5 70.000 (65.143)
Epoch: [4][6760/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6248 (2.7221)	Prec@1 40.000 (34.709)	Prec@5 66.000 (65.141)
Epoch: [4][6770/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6448 (2.7222)	Prec@1 38.500 (34.707)	Prec@5 69.000 (65.141)
Epoch: [4][6780/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7478 (2.7222)	Prec@1 38.000 (34.704)	Prec@5 65.000 (65.140)
Epoch: [4][6790/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7774 (2.7223)	Prec@1 32.000 (34.703)	Prec@5 64.000 (65.141)
Epoch: [4][6800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7932 (2.7222)	Prec@1 33.500 (34.702)	Prec@5 65.000 (65.142)
Epoch: [4][6810/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6818 (2.7222)	Prec@1 33.500 (34.702)	Prec@5 64.000 (65.142)
Epoch: [4][6820/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.8134 (2.7222)	Prec@1 33.500 (34.703)	Prec@5 65.500 (65.143)
Epoch: [4][6830/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6943 (2.7222)	Prec@1 34.000 (34.703)	Prec@5 63.500 (65.142)
Epoch: [4][6840/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5844 (2.7221)	Prec@1 41.000 (34.703)	Prec@5 69.500 (65.143)
Epoch: [4][6850/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5302 (2.7221)	Prec@1 36.500 (34.704)	Prec@5 69.000 (65.143)
Epoch: [4][6860/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7619 (2.7221)	Prec@1 32.000 (34.704)	Prec@5 64.000 (65.144)
Epoch: [4][6870/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6774 (2.7220)	Prec@1 37.000 (34.704)	Prec@5 66.500 (65.145)
Epoch: [4][6880/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8463 (2.7221)	Prec@1 32.500 (34.704)	Prec@5 62.500 (65.144)
Epoch: [4][6890/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.8901 (2.7221)	Prec@1 31.500 (34.703)	Prec@5 59.500 (65.142)
Epoch: [4][6900/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.6579 (2.7221)	Prec@1 32.000 (34.703)	Prec@5 65.500 (65.144)
Epoch: [4][6910/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.9075 (2.7221)	Prec@1 29.000 (34.702)	Prec@5 58.000 (65.143)
Epoch: [4][6920/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8678 (2.7221)	Prec@1 31.500 (34.702)	Prec@5 59.500 (65.141)
Epoch: [4][6930/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.8783 (2.7221)	Prec@1 32.500 (34.701)	Prec@5 62.000 (65.140)
Epoch: [4][6940/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.7170 (2.7221)	Prec@1 34.500 (34.700)	Prec@5 64.500 (65.141)
Epoch: [4][6950/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.9250 (2.7221)	Prec@1 30.500 (34.702)	Prec@5 62.000 (65.140)
Epoch: [4][6960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6951 (2.7221)	Prec@1 39.500 (34.702)	Prec@5 65.000 (65.142)
Epoch: [4][6970/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.8053 (2.7220)	Prec@1 34.000 (34.703)	Prec@5 65.000 (65.145)
Epoch: [4][6980/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8925 (2.7221)	Prec@1 34.000 (34.703)	Prec@5 63.500 (65.145)
Epoch: [4][6990/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 2.6402 (2.7221)	Prec@1 35.500 (34.703)	Prec@5 63.000 (65.145)
Epoch: [4][7000/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6239 (2.7220)	Prec@1 35.000 (34.704)	Prec@5 69.000 (65.146)
Epoch: [4][7010/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5392 (2.7220)	Prec@1 36.000 (34.703)	Prec@5 72.000 (65.146)
Epoch: [4][7020/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6839 (2.7220)	Prec@1 34.000 (34.706)	Prec@5 64.000 (65.147)
Epoch: [4][7030/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5798 (2.7220)	Prec@1 36.500 (34.706)	Prec@5 68.500 (65.145)
Epoch: [4][7040/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.9108 (2.7220)	Prec@1 29.000 (34.705)	Prec@5 64.500 (65.144)
Epoch: [4][7050/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.8456 (2.7221)	Prec@1 30.000 (34.704)	Prec@5 63.500 (65.143)
Epoch: [4][7060/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6219 (2.7221)	Prec@1 34.000 (34.703)	Prec@5 66.500 (65.145)
Epoch: [4][7070/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7761 (2.7221)	Prec@1 36.000 (34.704)	Prec@5 65.000 (65.143)
Epoch: [4][7080/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8129 (2.7221)	Prec@1 31.000 (34.705)	Prec@5 65.500 (65.141)
Epoch: [4][7090/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6628 (2.7221)	Prec@1 40.000 (34.705)	Prec@5 66.500 (65.140)
Epoch: [4][7100/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.8597 (2.7220)	Prec@1 30.500 (34.707)	Prec@5 67.000 (65.142)
Epoch: [4][7110/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5846 (2.7220)	Prec@1 38.500 (34.708)	Prec@5 64.500 (65.141)
Epoch: [4][7120/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5358 (2.7220)	Prec@1 35.000 (34.708)	Prec@5 70.500 (65.143)
Epoch: [4][7130/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6923 (2.7219)	Prec@1 36.500 (34.711)	Prec@5 65.000 (65.144)
Epoch: [4][7140/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7596 (2.7220)	Prec@1 36.000 (34.709)	Prec@5 62.500 (65.141)
Epoch: [4][7150/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7061 (2.7220)	Prec@1 39.000 (34.708)	Prec@5 66.500 (65.141)
Epoch: [4][7160/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6876 (2.7220)	Prec@1 33.000 (34.709)	Prec@5 64.500 (65.140)
Epoch: [4][7170/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4975 (2.7219)	Prec@1 41.000 (34.710)	Prec@5 67.500 (65.140)
Epoch: [4][7180/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7221 (2.7219)	Prec@1 30.000 (34.710)	Prec@5 65.000 (65.138)
Epoch: [4][7190/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6557 (2.7218)	Prec@1 32.500 (34.712)	Prec@5 65.000 (65.140)
Epoch: [4][7200/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5463 (2.7218)	Prec@1 39.500 (34.712)	Prec@5 66.500 (65.142)
Epoch: [4][7210/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6202 (2.7218)	Prec@1 38.000 (34.712)	Prec@5 72.000 (65.142)
Epoch: [4][7220/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7174 (2.7218)	Prec@1 36.500 (34.713)	Prec@5 68.500 (65.143)
Epoch: [4][7230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7591 (2.7218)	Prec@1 35.000 (34.714)	Prec@5 65.500 (65.144)
Epoch: [4][7240/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5768 (2.7218)	Prec@1 35.500 (34.714)	Prec@5 69.500 (65.144)
Epoch: [4][7250/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.9378 (2.7219)	Prec@1 27.000 (34.713)	Prec@5 60.000 (65.144)
Epoch: [4][7260/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7969 (2.7218)	Prec@1 35.500 (34.715)	Prec@5 63.500 (65.144)
Epoch: [4][7270/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.7948 (2.7218)	Prec@1 38.000 (34.717)	Prec@5 65.000 (65.144)
Epoch: [4][7280/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5533 (2.7218)	Prec@1 32.500 (34.716)	Prec@5 67.500 (65.142)
Epoch: [4][7290/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5485 (2.7218)	Prec@1 35.500 (34.716)	Prec@5 66.500 (65.143)
Epoch: [4][7300/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7212 (2.7218)	Prec@1 34.500 (34.716)	Prec@5 67.500 (65.144)
Epoch: [4][7310/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 3.0370 (2.7217)	Prec@1 30.000 (34.718)	Prec@5 59.500 (65.147)
Epoch: [4][7320/9018]	Time 0.718 (0.615)	Data 0.002 (0.001)	Loss 2.5949 (2.7217)	Prec@1 36.000 (34.720)	Prec@5 66.500 (65.147)
Epoch: [4][7330/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5840 (2.7216)	Prec@1 35.500 (34.720)	Prec@5 72.000 (65.150)
Epoch: [4][7340/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7762 (2.7216)	Prec@1 34.500 (34.720)	Prec@5 66.000 (65.150)
Epoch: [4][7350/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7627 (2.7215)	Prec@1 31.000 (34.723)	Prec@5 65.500 (65.151)
Epoch: [4][7360/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 3.0106 (2.7215)	Prec@1 27.500 (34.723)	Prec@5 58.500 (65.153)
Epoch: [4][7370/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6098 (2.7214)	Prec@1 36.500 (34.726)	Prec@5 67.000 (65.155)
Epoch: [4][7380/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5926 (2.7214)	Prec@1 35.000 (34.725)	Prec@5 71.500 (65.155)
Epoch: [4][7390/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7320 (2.7212)	Prec@1 37.500 (34.725)	Prec@5 69.000 (65.157)
Epoch: [4][7400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7094 (2.7213)	Prec@1 37.000 (34.725)	Prec@5 67.500 (65.156)
Epoch: [4][7410/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7195 (2.7212)	Prec@1 35.000 (34.726)	Prec@5 64.500 (65.157)
Epoch: [4][7420/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7473 (2.7212)	Prec@1 36.500 (34.727)	Prec@5 65.000 (65.159)
Epoch: [4][7430/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.7347 (2.7212)	Prec@1 38.000 (34.728)	Prec@5 62.500 (65.158)
Epoch: [4][7440/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5477 (2.7211)	Prec@1 38.500 (34.728)	Prec@5 69.500 (65.158)
Epoch: [4][7450/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.8178 (2.7212)	Prec@1 34.500 (34.728)	Prec@5 59.500 (65.159)
Epoch: [4][7460/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7607 (2.7211)	Prec@1 31.500 (34.729)	Prec@5 61.000 (65.158)
Epoch: [4][7470/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6884 (2.7211)	Prec@1 36.500 (34.730)	Prec@5 67.500 (65.158)
Epoch: [4][7480/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7053 (2.7211)	Prec@1 34.500 (34.730)	Prec@5 62.000 (65.158)
Epoch: [4][7490/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7434 (2.7212)	Prec@1 37.000 (34.729)	Prec@5 64.000 (65.157)
Epoch: [4][7500/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6159 (2.7213)	Prec@1 38.000 (34.729)	Prec@5 70.500 (65.156)
Epoch: [4][7510/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7940 (2.7213)	Prec@1 32.500 (34.729)	Prec@5 67.000 (65.156)
Epoch: [4][7520/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4281 (2.7213)	Prec@1 42.500 (34.728)	Prec@5 69.500 (65.157)
Epoch: [4][7530/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8287 (2.7213)	Prec@1 35.000 (34.727)	Prec@5 63.000 (65.156)
Epoch: [4][7540/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4472 (2.7211)	Prec@1 40.500 (34.730)	Prec@5 69.500 (65.161)
Epoch: [4][7550/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7572 (2.7211)	Prec@1 33.500 (34.729)	Prec@5 62.500 (65.160)
Epoch: [4][7560/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6444 (2.7211)	Prec@1 39.000 (34.730)	Prec@5 64.500 (65.161)
Epoch: [4][7570/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8302 (2.7211)	Prec@1 33.000 (34.729)	Prec@5 65.000 (65.161)
Epoch: [4][7580/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8021 (2.7211)	Prec@1 32.500 (34.729)	Prec@5 65.500 (65.162)
Epoch: [4][7590/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8460 (2.7212)	Prec@1 31.000 (34.728)	Prec@5 62.000 (65.161)
Epoch: [4][7600/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.5527 (2.7211)	Prec@1 34.000 (34.729)	Prec@5 66.500 (65.162)
Epoch: [4][7610/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.8081 (2.7211)	Prec@1 33.500 (34.729)	Prec@5 62.500 (65.162)
Epoch: [4][7620/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8018 (2.7210)	Prec@1 35.000 (34.733)	Prec@5 65.000 (65.165)
Epoch: [4][7630/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.6886 (2.7210)	Prec@1 34.500 (34.733)	Prec@5 67.500 (65.166)
Epoch: [4][7640/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7453 (2.7210)	Prec@1 33.000 (34.733)	Prec@5 66.000 (65.167)
Epoch: [4][7650/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.5235 (2.7209)	Prec@1 42.000 (34.735)	Prec@5 69.000 (65.168)
Epoch: [4][7660/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.8230 (2.7210)	Prec@1 34.500 (34.735)	Prec@5 62.500 (65.168)
Epoch: [4][7670/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6386 (2.7210)	Prec@1 33.500 (34.732)	Prec@5 66.000 (65.168)
Epoch: [4][7680/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5618 (2.7210)	Prec@1 38.000 (34.732)	Prec@5 71.500 (65.169)
Epoch: [4][7690/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.9080 (2.7211)	Prec@1 34.000 (34.733)	Prec@5 59.500 (65.167)
Epoch: [4][7700/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6917 (2.7210)	Prec@1 39.500 (34.736)	Prec@5 66.500 (65.169)
Epoch: [4][7710/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7264 (2.7210)	Prec@1 33.000 (34.735)	Prec@5 67.500 (65.169)
Epoch: [4][7720/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5094 (2.7211)	Prec@1 36.500 (34.732)	Prec@5 71.000 (65.168)
Epoch: [4][7730/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4679 (2.7210)	Prec@1 40.500 (34.734)	Prec@5 66.000 (65.169)
Epoch: [4][7740/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6772 (2.7209)	Prec@1 35.500 (34.736)	Prec@5 62.500 (65.171)
Epoch: [4][7750/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8073 (2.7209)	Prec@1 36.500 (34.738)	Prec@5 63.500 (65.172)
Epoch: [4][7760/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8119 (2.7209)	Prec@1 33.500 (34.737)	Prec@5 66.000 (65.173)
Epoch: [4][7770/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5782 (2.7209)	Prec@1 34.500 (34.737)	Prec@5 70.500 (65.175)
Epoch: [4][7780/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.9130 (2.7209)	Prec@1 31.500 (34.736)	Prec@5 59.500 (65.174)
Epoch: [4][7790/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7719 (2.7209)	Prec@1 36.500 (34.735)	Prec@5 64.500 (65.175)
Epoch: [4][7800/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8531 (2.7209)	Prec@1 35.500 (34.733)	Prec@5 62.500 (65.174)
Epoch: [4][7810/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5944 (2.7209)	Prec@1 42.000 (34.735)	Prec@5 66.000 (65.174)
Epoch: [4][7820/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7582 (2.7209)	Prec@1 30.000 (34.736)	Prec@5 64.500 (65.175)
Epoch: [4][7830/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6630 (2.7209)	Prec@1 33.500 (34.736)	Prec@5 66.500 (65.175)
Epoch: [4][7840/9018]	Time 0.647 (0.615)	Data 0.001 (0.001)	Loss 2.6903 (2.7209)	Prec@1 34.000 (34.738)	Prec@5 64.000 (65.177)
Epoch: [4][7850/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5790 (2.7209)	Prec@1 37.000 (34.738)	Prec@5 72.500 (65.178)
Epoch: [4][7860/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8397 (2.7210)	Prec@1 33.000 (34.737)	Prec@5 60.500 (65.175)
Epoch: [4][7870/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5232 (2.7210)	Prec@1 40.500 (34.737)	Prec@5 68.000 (65.176)
Epoch: [4][7880/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6489 (2.7209)	Prec@1 34.000 (34.740)	Prec@5 69.500 (65.179)
Epoch: [4][7890/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6040 (2.7209)	Prec@1 39.000 (34.740)	Prec@5 70.000 (65.180)
Epoch: [4][7900/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6400 (2.7209)	Prec@1 37.500 (34.740)	Prec@5 66.500 (65.179)
Epoch: [4][7910/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8532 (2.7209)	Prec@1 29.000 (34.739)	Prec@5 63.000 (65.180)
Epoch: [4][7920/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8761 (2.7209)	Prec@1 30.500 (34.737)	Prec@5 60.500 (65.179)
Epoch: [4][7930/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.6085 (2.7209)	Prec@1 37.000 (34.739)	Prec@5 67.000 (65.179)
Epoch: [4][7940/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7844 (2.7209)	Prec@1 29.500 (34.738)	Prec@5 68.000 (65.180)
Epoch: [4][7950/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9368 (2.7209)	Prec@1 33.000 (34.737)	Prec@5 61.000 (65.180)
Epoch: [4][7960/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7002 (2.7209)	Prec@1 34.500 (34.738)	Prec@5 65.500 (65.181)
Epoch: [4][7970/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6462 (2.7208)	Prec@1 37.000 (34.740)	Prec@5 67.500 (65.183)
Epoch: [4][7980/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.7945 (2.7208)	Prec@1 36.500 (34.740)	Prec@5 63.500 (65.182)
Epoch: [4][7990/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7786 (2.7209)	Prec@1 36.000 (34.739)	Prec@5 62.000 (65.180)
Epoch: [4][8000/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 3.0558 (2.7210)	Prec@1 34.000 (34.738)	Prec@5 57.500 (65.180)
Epoch: [4][8010/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6787 (2.7210)	Prec@1 40.000 (34.738)	Prec@5 67.000 (65.181)
Epoch: [4][8020/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7105 (2.7209)	Prec@1 36.500 (34.739)	Prec@5 63.000 (65.182)
Epoch: [4][8030/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7586 (2.7208)	Prec@1 31.500 (34.739)	Prec@5 60.500 (65.183)
Epoch: [4][8040/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6663 (2.7208)	Prec@1 35.000 (34.741)	Prec@5 66.000 (65.183)
Epoch: [4][8050/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7974 (2.7209)	Prec@1 34.000 (34.739)	Prec@5 67.000 (65.184)
Epoch: [4][8060/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5106 (2.7208)	Prec@1 42.500 (34.740)	Prec@5 71.500 (65.184)
Epoch: [4][8070/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.8284 (2.7208)	Prec@1 31.000 (34.740)	Prec@5 64.500 (65.185)
Epoch: [4][8080/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7345 (2.7207)	Prec@1 30.000 (34.741)	Prec@5 66.000 (65.188)
Epoch: [4][8090/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.8123 (2.7206)	Prec@1 32.000 (34.743)	Prec@5 63.500 (65.189)
Epoch: [4][8100/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7464 (2.7205)	Prec@1 35.000 (34.745)	Prec@5 67.000 (65.189)
Epoch: [4][8110/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5976 (2.7205)	Prec@1 35.500 (34.747)	Prec@5 64.500 (65.189)
Epoch: [4][8120/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7063 (2.7205)	Prec@1 34.000 (34.746)	Prec@5 65.000 (65.189)
Epoch: [4][8130/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4733 (2.7205)	Prec@1 42.500 (34.746)	Prec@5 69.500 (65.189)
Epoch: [4][8140/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4693 (2.7205)	Prec@1 40.500 (34.746)	Prec@5 71.000 (65.190)
Epoch: [4][8150/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8222 (2.7205)	Prec@1 35.500 (34.746)	Prec@5 62.000 (65.190)
Epoch: [4][8160/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7154 (2.7205)	Prec@1 34.500 (34.747)	Prec@5 64.500 (65.188)
Epoch: [4][8170/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7156 (2.7206)	Prec@1 32.500 (34.747)	Prec@5 67.500 (65.188)
Epoch: [4][8180/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6691 (2.7205)	Prec@1 36.500 (34.746)	Prec@5 65.500 (65.189)
Epoch: [4][8190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7302 (2.7206)	Prec@1 35.500 (34.746)	Prec@5 62.500 (65.189)
Epoch: [4][8200/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4242 (2.7205)	Prec@1 40.500 (34.748)	Prec@5 74.500 (65.191)
Epoch: [4][8210/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7220 (2.7204)	Prec@1 34.000 (34.749)	Prec@5 65.000 (65.192)
Epoch: [4][8220/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7745 (2.7205)	Prec@1 34.000 (34.746)	Prec@5 65.000 (65.191)
Epoch: [4][8230/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6058 (2.7205)	Prec@1 34.000 (34.743)	Prec@5 70.500 (65.190)
Epoch: [4][8240/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5928 (2.7204)	Prec@1 35.000 (34.744)	Prec@5 70.000 (65.191)
Epoch: [4][8250/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7747 (2.7205)	Prec@1 30.500 (34.744)	Prec@5 66.000 (65.190)
Epoch: [4][8260/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.7018 (2.7205)	Prec@1 34.000 (34.744)	Prec@5 67.000 (65.192)
Epoch: [4][8270/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.9917 (2.7205)	Prec@1 29.000 (34.745)	Prec@5 59.500 (65.191)
Epoch: [4][8280/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7442 (2.7206)	Prec@1 33.000 (34.744)	Prec@5 65.500 (65.190)
Epoch: [4][8290/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.4467 (2.7204)	Prec@1 37.500 (34.746)	Prec@5 72.500 (65.194)
Epoch: [4][8300/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.9525 (2.7204)	Prec@1 26.500 (34.747)	Prec@5 60.000 (65.193)
Epoch: [4][8310/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.8523 (2.7205)	Prec@1 35.500 (34.746)	Prec@5 60.500 (65.190)
Epoch: [4][8320/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7568 (2.7205)	Prec@1 32.500 (34.747)	Prec@5 67.500 (65.192)
Epoch: [4][8330/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7896 (2.7205)	Prec@1 38.000 (34.746)	Prec@5 63.500 (65.192)
Epoch: [4][8340/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5951 (2.7204)	Prec@1 38.500 (34.748)	Prec@5 68.500 (65.194)
Epoch: [4][8350/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5534 (2.7203)	Prec@1 37.500 (34.749)	Prec@5 65.000 (65.194)
Epoch: [4][8360/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6828 (2.7203)	Prec@1 34.500 (34.748)	Prec@5 64.000 (65.195)
Epoch: [4][8370/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7349 (2.7203)	Prec@1 35.000 (34.747)	Prec@5 61.500 (65.193)
Epoch: [4][8380/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6583 (2.7202)	Prec@1 37.000 (34.749)	Prec@5 66.500 (65.196)
Epoch: [4][8390/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8201 (2.7202)	Prec@1 28.500 (34.748)	Prec@5 62.000 (65.196)
Epoch: [4][8400/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7756 (2.7202)	Prec@1 33.000 (34.748)	Prec@5 66.500 (65.196)
Epoch: [4][8410/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6547 (2.7201)	Prec@1 37.000 (34.749)	Prec@5 62.500 (65.196)
Epoch: [4][8420/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5835 (2.7201)	Prec@1 35.500 (34.749)	Prec@5 67.500 (65.196)
Epoch: [4][8430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8587 (2.7202)	Prec@1 36.500 (34.749)	Prec@5 63.000 (65.196)
Epoch: [4][8440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7442 (2.7202)	Prec@1 34.500 (34.748)	Prec@5 65.500 (65.194)
Epoch: [4][8450/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5267 (2.7202)	Prec@1 43.000 (34.750)	Prec@5 70.000 (65.195)
Epoch: [4][8460/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6744 (2.7201)	Prec@1 35.000 (34.750)	Prec@5 65.500 (65.195)
Epoch: [4][8470/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.5068 (2.7201)	Prec@1 37.500 (34.751)	Prec@5 69.000 (65.197)
Epoch: [4][8480/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6043 (2.7200)	Prec@1 32.000 (34.751)	Prec@5 66.000 (65.196)
Epoch: [4][8490/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7679 (2.7200)	Prec@1 33.500 (34.751)	Prec@5 65.500 (65.197)
Epoch: [4][8500/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6295 (2.7199)	Prec@1 35.000 (34.752)	Prec@5 63.000 (65.199)
Epoch: [4][8510/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7323 (2.7199)	Prec@1 37.000 (34.753)	Prec@5 65.000 (65.200)
Epoch: [4][8520/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6716 (2.7199)	Prec@1 38.000 (34.756)	Prec@5 70.500 (65.200)
Epoch: [4][8530/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7299 (2.7198)	Prec@1 40.000 (34.757)	Prec@5 68.500 (65.203)
Epoch: [4][8540/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.9480 (2.7199)	Prec@1 33.500 (34.756)	Prec@5 64.500 (65.202)
Epoch: [4][8550/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7815 (2.7199)	Prec@1 35.500 (34.756)	Prec@5 63.000 (65.204)
Epoch: [4][8560/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6552 (2.7198)	Prec@1 38.000 (34.758)	Prec@5 66.500 (65.205)
Epoch: [4][8570/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.5934 (2.7197)	Prec@1 39.000 (34.761)	Prec@5 67.500 (65.206)
Epoch: [4][8580/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5542 (2.7196)	Prec@1 39.500 (34.762)	Prec@5 69.000 (65.208)
Epoch: [4][8590/9018]	Time 0.709 (0.615)	Data 0.001 (0.001)	Loss 2.7813 (2.7197)	Prec@1 32.000 (34.761)	Prec@5 63.000 (65.206)
Epoch: [4][8600/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6093 (2.7197)	Prec@1 39.500 (34.761)	Prec@5 62.500 (65.205)
Epoch: [4][8610/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5812 (2.7197)	Prec@1 32.000 (34.761)	Prec@5 70.000 (65.205)
Epoch: [4][8620/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6608 (2.7197)	Prec@1 34.500 (34.761)	Prec@5 67.000 (65.206)
Epoch: [4][8630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3539 (2.7196)	Prec@1 45.500 (34.763)	Prec@5 74.500 (65.208)
Epoch: [4][8640/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 2.9190 (2.7195)	Prec@1 32.000 (34.764)	Prec@5 61.500 (65.209)
Epoch: [4][8650/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7738 (2.7195)	Prec@1 36.000 (34.766)	Prec@5 62.500 (65.212)
Epoch: [4][8660/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6227 (2.7195)	Prec@1 37.000 (34.766)	Prec@5 64.000 (65.211)
Epoch: [4][8670/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7194 (2.7195)	Prec@1 35.000 (34.765)	Prec@5 65.000 (65.210)
Epoch: [4][8680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5691 (2.7195)	Prec@1 39.500 (34.766)	Prec@5 70.000 (65.210)
Epoch: [4][8690/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7960 (2.7195)	Prec@1 34.500 (34.765)	Prec@5 65.000 (65.211)
Epoch: [4][8700/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8722 (2.7195)	Prec@1 30.000 (34.764)	Prec@5 64.000 (65.212)
Epoch: [4][8710/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7227 (2.7194)	Prec@1 36.000 (34.765)	Prec@5 65.000 (65.214)
Epoch: [4][8720/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7051 (2.7193)	Prec@1 35.500 (34.766)	Prec@5 65.000 (65.215)
Epoch: [4][8730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8169 (2.7193)	Prec@1 34.000 (34.767)	Prec@5 62.000 (65.216)
Epoch: [4][8740/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7680 (2.7193)	Prec@1 33.500 (34.767)	Prec@5 64.000 (65.216)
Epoch: [4][8750/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5949 (2.7193)	Prec@1 37.500 (34.767)	Prec@5 67.500 (65.216)
Epoch: [4][8760/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5543 (2.7192)	Prec@1 37.000 (34.768)	Prec@5 72.000 (65.218)
Epoch: [4][8770/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.8457 (2.7192)	Prec@1 29.500 (34.768)	Prec@5 60.000 (65.219)
Epoch: [4][8780/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6573 (2.7192)	Prec@1 35.500 (34.767)	Prec@5 64.500 (65.217)
Epoch: [4][8790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6823 (2.7192)	Prec@1 31.000 (34.768)	Prec@5 68.500 (65.218)
Epoch: [4][8800/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.8095 (2.7193)	Prec@1 35.000 (34.767)	Prec@5 61.000 (65.215)
Epoch: [4][8810/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7127 (2.7193)	Prec@1 30.500 (34.765)	Prec@5 64.000 (65.215)
Epoch: [4][8820/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6649 (2.7192)	Prec@1 36.500 (34.767)	Prec@5 66.500 (65.217)
Epoch: [4][8830/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6274 (2.7191)	Prec@1 40.000 (34.769)	Prec@5 70.000 (65.219)
Epoch: [4][8840/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9348 (2.7192)	Prec@1 35.000 (34.769)	Prec@5 58.000 (65.218)
Epoch: [4][8850/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.7575 (2.7192)	Prec@1 36.000 (34.769)	Prec@5 63.500 (65.217)
Epoch: [4][8860/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7543 (2.7191)	Prec@1 37.000 (34.770)	Prec@5 65.000 (65.219)
Epoch: [4][8870/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6627 (2.7191)	Prec@1 35.500 (34.772)	Prec@5 68.500 (65.220)
Epoch: [4][8880/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5117 (2.7191)	Prec@1 41.000 (34.774)	Prec@5 71.000 (65.219)
Epoch: [4][8890/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.8022 (2.7192)	Prec@1 33.500 (34.774)	Prec@5 61.000 (65.218)
Epoch: [4][8900/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8397 (2.7192)	Prec@1 31.500 (34.773)	Prec@5 62.500 (65.217)
Epoch: [4][8910/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7388 (2.7191)	Prec@1 33.500 (34.774)	Prec@5 67.500 (65.219)
Epoch: [4][8920/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.5370 (2.7191)	Prec@1 38.000 (34.774)	Prec@5 69.500 (65.220)
Epoch: [4][8930/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.8808 (2.7191)	Prec@1 30.000 (34.774)	Prec@5 65.500 (65.219)
Epoch: [4][8940/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5655 (2.7190)	Prec@1 35.500 (34.773)	Prec@5 69.000 (65.220)
Epoch: [4][8950/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6720 (2.7189)	Prec@1 33.000 (34.774)	Prec@5 69.000 (65.223)
Epoch: [4][8960/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7783 (2.7189)	Prec@1 31.500 (34.775)	Prec@5 61.000 (65.223)
Epoch: [4][8970/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.3499 (2.7188)	Prec@1 45.000 (34.777)	Prec@5 72.500 (65.223)
Epoch: [4][8980/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.7407 (2.7189)	Prec@1 33.500 (34.776)	Prec@5 66.500 (65.222)
Epoch: [4][8990/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7141 (2.7189)	Prec@1 30.000 (34.775)	Prec@5 67.000 (65.223)
Epoch: [4][9000/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5774 (2.7188)	Prec@1 40.000 (34.776)	Prec@5 66.000 (65.223)
Epoch: [4][9010/9018]	Time 0.597 (0.615)	Data 0.000 (0.001)	Loss 2.5360 (2.7188)	Prec@1 36.500 (34.775)	Prec@5 67.500 (65.223)
Test: [0/183]	Time 1.417 (1.417)	Loss 3.1948 (3.1948)	Prec@1 21.000 (21.000)	Prec@5 58.000 (58.000)
Test: [10/183]	Time 0.222 (0.314)	Loss 2.7203 (2.4542)	Prec@1 30.000 (35.591)	Prec@5 70.000 (71.955)
Test: [20/183]	Time 0.192 (0.267)	Loss 2.6722 (2.3611)	Prec@1 32.500 (37.881)	Prec@5 71.500 (73.762)
Test: [30/183]	Time 0.187 (0.243)	Loss 3.9658 (2.4160)	Prec@1 8.000 (37.145)	Prec@5 41.500 (72.855)
Test: [40/183]	Time 0.192 (0.230)	Loss 3.4883 (2.4392)	Prec@1 12.000 (37.000)	Prec@5 48.500 (71.793)
Test: [50/183]	Time 0.191 (0.222)	Loss 2.2923 (2.4191)	Prec@1 34.000 (38.098)	Prec@5 79.000 (72.049)
Test: [60/183]	Time 0.185 (0.218)	Loss 2.7810 (2.4667)	Prec@1 36.000 (37.516)	Prec@5 61.500 (70.877)
Test: [70/183]	Time 0.187 (0.214)	Loss 2.9789 (2.4617)	Prec@1 27.000 (37.697)	Prec@5 65.500 (70.979)
Test: [80/183]	Time 0.197 (0.212)	Loss 2.3029 (2.4564)	Prec@1 41.000 (38.062)	Prec@5 74.500 (70.994)
Test: [90/183]	Time 0.193 (0.210)	Loss 2.8036 (2.4422)	Prec@1 32.000 (38.434)	Prec@5 62.500 (71.269)
Test: [100/183]	Time 0.188 (0.209)	Loss 1.5190 (2.4495)	Prec@1 58.000 (38.351)	Prec@5 87.500 (71.069)
Test: [110/183]	Time 0.191 (0.208)	Loss 1.2842 (2.4461)	Prec@1 68.500 (38.446)	Prec@5 93.500 (71.068)
Test: [120/183]	Time 0.187 (0.207)	Loss 2.6484 (2.4569)	Prec@1 32.000 (37.855)	Prec@5 65.000 (70.905)
Test: [130/183]	Time 0.180 (0.205)	Loss 3.7981 (2.4599)	Prec@1 11.500 (37.874)	Prec@5 43.000 (70.924)
Test: [140/183]	Time 0.190 (0.204)	Loss 2.2284 (2.4461)	Prec@1 46.500 (38.202)	Prec@5 74.000 (71.202)
Test: [150/183]	Time 0.192 (0.203)	Loss 1.4217 (2.4321)	Prec@1 60.000 (38.599)	Prec@5 90.500 (71.421)
Test: [160/183]	Time 0.183 (0.202)	Loss 2.6527 (2.4319)	Prec@1 41.500 (38.742)	Prec@5 56.000 (71.379)
Test: [170/183]	Time 0.193 (0.202)	Loss 2.7990 (2.4505)	Prec@1 33.500 (38.424)	Prec@5 66.000 (70.950)
Test: [180/183]	Time 0.180 (0.201)	Loss 2.6354 (2.4589)	Prec@1 40.000 (38.378)	Prec@5 67.000 (70.771)
 * Prec@1 38.444 Prec@5 70.803
Epoch: [5][0/9018]	Time 2.664 (2.664)	Data 2.045 (2.045)	Loss 2.7667 (2.7667)	Prec@1 33.000 (33.000)	Prec@5 64.500 (64.500)
Epoch: [5][10/9018]	Time 0.595 (0.785)	Data 0.001 (0.187)	Loss 2.4860 (2.6642)	Prec@1 42.500 (36.727)	Prec@5 69.500 (66.682)
Epoch: [5][20/9018]	Time 0.601 (0.701)	Data 0.001 (0.098)	Loss 2.6221 (2.6876)	Prec@1 37.500 (35.905)	Prec@5 65.000 (65.667)
Epoch: [5][30/9018]	Time 0.598 (0.667)	Data 0.001 (0.067)	Loss 2.5380 (2.6564)	Prec@1 36.500 (36.387)	Prec@5 70.500 (66.290)
Epoch: [5][40/9018]	Time 0.604 (0.654)	Data 0.001 (0.051)	Loss 2.6009 (2.6434)	Prec@1 40.000 (36.707)	Prec@5 63.000 (66.390)
Epoch: [5][50/9018]	Time 0.733 (0.647)	Data 0.001 (0.041)	Loss 2.6937 (2.6562)	Prec@1 31.500 (36.245)	Prec@5 67.500 (66.137)
Epoch: [5][60/9018]	Time 0.599 (0.641)	Data 0.001 (0.034)	Loss 2.7259 (2.6511)	Prec@1 32.000 (36.180)	Prec@5 66.000 (66.303)
Epoch: [5][70/9018]	Time 0.604 (0.638)	Data 0.001 (0.030)	Loss 2.4611 (2.6448)	Prec@1 44.000 (36.303)	Prec@5 70.500 (66.486)
Epoch: [5][80/9018]	Time 0.617 (0.635)	Data 0.001 (0.026)	Loss 2.7148 (2.6542)	Prec@1 37.000 (36.167)	Prec@5 66.000 (66.438)
Epoch: [5][90/9018]	Time 0.602 (0.632)	Data 0.001 (0.023)	Loss 2.7650 (2.6584)	Prec@1 34.500 (35.973)	Prec@5 66.000 (66.286)
Epoch: [5][100/9018]	Time 0.593 (0.631)	Data 0.001 (0.021)	Loss 2.5191 (2.6533)	Prec@1 38.500 (36.129)	Prec@5 69.000 (66.426)
Epoch: [5][110/9018]	Time 0.604 (0.629)	Data 0.001 (0.019)	Loss 2.4554 (2.6544)	Prec@1 39.000 (35.986)	Prec@5 68.500 (66.311)
Epoch: [5][120/9018]	Time 0.638 (0.629)	Data 0.001 (0.018)	Loss 2.7175 (2.6556)	Prec@1 34.000 (35.975)	Prec@5 67.000 (66.277)
Epoch: [5][130/9018]	Time 0.604 (0.628)	Data 0.001 (0.016)	Loss 2.7054 (2.6551)	Prec@1 35.000 (35.885)	Prec@5 65.500 (66.279)
Epoch: [5][140/9018]	Time 0.616 (0.627)	Data 0.001 (0.015)	Loss 2.6399 (2.6582)	Prec@1 33.500 (35.812)	Prec@5 61.500 (66.223)
Epoch: [5][150/9018]	Time 0.600 (0.627)	Data 0.001 (0.014)	Loss 2.5805 (2.6598)	Prec@1 37.500 (35.742)	Prec@5 67.500 (66.152)
Epoch: [5][160/9018]	Time 0.640 (0.626)	Data 0.001 (0.013)	Loss 2.8286 (2.6575)	Prec@1 35.000 (35.773)	Prec@5 62.500 (66.230)
Epoch: [5][170/9018]	Time 0.593 (0.625)	Data 0.001 (0.013)	Loss 2.7215 (2.6581)	Prec@1 33.000 (35.746)	Prec@5 65.500 (66.211)
Epoch: [5][180/9018]	Time 0.609 (0.624)	Data 0.001 (0.012)	Loss 2.6374 (2.6604)	Prec@1 39.000 (35.732)	Prec@5 67.000 (66.127)
Epoch: [5][190/9018]	Time 0.626 (0.624)	Data 0.001 (0.011)	Loss 2.5622 (2.6597)	Prec@1 38.000 (35.736)	Prec@5 66.500 (66.118)
Epoch: [5][200/9018]	Time 0.603 (0.624)	Data 0.001 (0.011)	Loss 2.6711 (2.6564)	Prec@1 38.000 (35.766)	Prec@5 66.500 (66.204)
Epoch: [5][210/9018]	Time 0.623 (0.623)	Data 0.001 (0.010)	Loss 2.8517 (2.6612)	Prec@1 33.000 (35.649)	Prec@5 60.500 (66.128)
Epoch: [5][220/9018]	Time 0.598 (0.623)	Data 0.001 (0.010)	Loss 2.6526 (2.6625)	Prec@1 38.500 (35.600)	Prec@5 68.500 (66.122)
Epoch: [5][230/9018]	Time 0.609 (0.622)	Data 0.001 (0.010)	Loss 2.8862 (2.6627)	Prec@1 28.500 (35.567)	Prec@5 62.500 (66.115)
Epoch: [5][240/9018]	Time 0.637 (0.623)	Data 0.001 (0.009)	Loss 2.7233 (2.6630)	Prec@1 32.500 (35.546)	Prec@5 66.000 (66.147)
Epoch: [5][250/9018]	Time 0.600 (0.623)	Data 0.001 (0.009)	Loss 2.5351 (2.6635)	Prec@1 38.000 (35.588)	Prec@5 67.500 (66.145)
Epoch: [5][260/9018]	Time 0.601 (0.622)	Data 0.001 (0.009)	Loss 2.6975 (2.6655)	Prec@1 37.000 (35.556)	Prec@5 64.500 (66.098)
Epoch: [5][270/9018]	Time 0.623 (0.622)	Data 0.001 (0.008)	Loss 2.4943 (2.6642)	Prec@1 41.000 (35.605)	Prec@5 68.500 (66.105)
Epoch: [5][280/9018]	Time 0.597 (0.622)	Data 0.001 (0.008)	Loss 2.8392 (2.6653)	Prec@1 31.000 (35.559)	Prec@5 67.000 (66.105)
Epoch: [5][290/9018]	Time 0.601 (0.622)	Data 0.001 (0.008)	Loss 2.6789 (2.6654)	Prec@1 30.000 (35.555)	Prec@5 66.500 (66.148)
Epoch: [5][300/9018]	Time 0.624 (0.622)	Data 0.001 (0.008)	Loss 2.7198 (2.6667)	Prec@1 34.000 (35.563)	Prec@5 63.500 (66.090)
Epoch: [5][310/9018]	Time 0.596 (0.621)	Data 0.001 (0.007)	Loss 2.9164 (2.6673)	Prec@1 31.000 (35.568)	Prec@5 58.000 (66.068)
Epoch: [5][320/9018]	Time 0.601 (0.621)	Data 0.001 (0.007)	Loss 2.6938 (2.6653)	Prec@1 33.000 (35.590)	Prec@5 67.000 (66.083)
Epoch: [5][330/9018]	Time 0.742 (0.621)	Data 0.001 (0.007)	Loss 2.5312 (2.6661)	Prec@1 39.000 (35.600)	Prec@5 71.000 (66.085)
Epoch: [5][340/9018]	Time 0.599 (0.620)	Data 0.001 (0.007)	Loss 2.8522 (2.6662)	Prec@1 33.500 (35.573)	Prec@5 61.000 (66.106)
Epoch: [5][350/9018]	Time 0.599 (0.621)	Data 0.001 (0.007)	Loss 2.7460 (2.6668)	Prec@1 31.500 (35.550)	Prec@5 63.500 (66.085)
Epoch: [5][360/9018]	Time 0.619 (0.620)	Data 0.001 (0.006)	Loss 2.5942 (2.6680)	Prec@1 38.000 (35.551)	Prec@5 64.000 (66.083)
Epoch: [5][370/9018]	Time 0.604 (0.620)	Data 0.001 (0.006)	Loss 2.9435 (2.6694)	Prec@1 33.500 (35.553)	Prec@5 62.500 (66.070)
Epoch: [5][380/9018]	Time 0.736 (0.620)	Data 0.001 (0.006)	Loss 2.5693 (2.6701)	Prec@1 38.500 (35.567)	Prec@5 71.000 (66.085)
Epoch: [5][390/9018]	Time 0.602 (0.620)	Data 0.001 (0.006)	Loss 2.6427 (2.6708)	Prec@1 34.000 (35.537)	Prec@5 67.500 (66.072)
Epoch: [5][400/9018]	Time 0.599 (0.620)	Data 0.001 (0.006)	Loss 2.6637 (2.6734)	Prec@1 37.500 (35.502)	Prec@5 71.000 (66.031)
Epoch: [5][410/9018]	Time 0.621 (0.620)	Data 0.001 (0.006)	Loss 2.4666 (2.6721)	Prec@1 43.500 (35.540)	Prec@5 67.000 (66.063)
Epoch: [5][420/9018]	Time 0.603 (0.619)	Data 0.001 (0.006)	Loss 2.9076 (2.6730)	Prec@1 31.500 (35.512)	Prec@5 60.000 (66.055)
Epoch: [5][430/9018]	Time 0.602 (0.619)	Data 0.001 (0.005)	Loss 2.7311 (2.6726)	Prec@1 41.500 (35.520)	Prec@5 67.000 (66.052)
Epoch: [5][440/9018]	Time 0.604 (0.619)	Data 0.001 (0.005)	Loss 2.6523 (2.6733)	Prec@1 34.000 (35.483)	Prec@5 65.500 (66.041)
Epoch: [5][450/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 2.4210 (2.6720)	Prec@1 42.500 (35.530)	Prec@5 69.000 (66.081)
Epoch: [5][460/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 2.7305 (2.6722)	Prec@1 34.000 (35.512)	Prec@5 63.500 (66.087)
Epoch: [5][470/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 2.9267 (2.6730)	Prec@1 33.500 (35.495)	Prec@5 60.000 (66.073)
Epoch: [5][480/9018]	Time 0.602 (0.619)	Data 0.001 (0.005)	Loss 2.7418 (2.6724)	Prec@1 35.500 (35.505)	Prec@5 63.000 (66.075)
Epoch: [5][490/9018]	Time 0.604 (0.619)	Data 0.001 (0.005)	Loss 2.5546 (2.6729)	Prec@1 39.500 (35.508)	Prec@5 66.500 (66.076)
Epoch: [5][500/9018]	Time 0.625 (0.619)	Data 0.001 (0.005)	Loss 2.6113 (2.6743)	Prec@1 29.500 (35.464)	Prec@5 67.000 (66.032)
Epoch: [5][510/9018]	Time 0.608 (0.619)	Data 0.001 (0.005)	Loss 2.7887 (2.6768)	Prec@1 36.500 (35.410)	Prec@5 61.500 (65.977)
Epoch: [5][520/9018]	Time 0.600 (0.619)	Data 0.001 (0.005)	Loss 2.8710 (2.6782)	Prec@1 32.500 (35.395)	Prec@5 61.000 (65.969)
Epoch: [5][530/9018]	Time 0.607 (0.619)	Data 0.001 (0.005)	Loss 2.5404 (2.6783)	Prec@1 35.500 (35.388)	Prec@5 71.500 (65.975)
Epoch: [5][540/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 2.6422 (2.6779)	Prec@1 39.000 (35.370)	Prec@5 65.500 (65.968)
Epoch: [5][550/9018]	Time 0.611 (0.619)	Data 0.001 (0.004)	Loss 2.7167 (2.6771)	Prec@1 36.000 (35.391)	Prec@5 66.500 (65.983)
Epoch: [5][560/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 2.6731 (2.6762)	Prec@1 35.500 (35.414)	Prec@5 63.000 (66.008)
Epoch: [5][570/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 2.7480 (2.6759)	Prec@1 36.000 (35.447)	Prec@5 64.000 (66.022)
Epoch: [5][580/9018]	Time 0.624 (0.618)	Data 0.001 (0.004)	Loss 2.5831 (2.6767)	Prec@1 38.000 (35.418)	Prec@5 66.500 (66.017)
Epoch: [5][590/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 2.7442 (2.6772)	Prec@1 33.000 (35.418)	Prec@5 64.500 (66.009)
Epoch: [5][600/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.6582 (2.6773)	Prec@1 35.000 (35.414)	Prec@5 66.000 (66.008)
Epoch: [5][610/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.7586 (2.6789)	Prec@1 40.000 (35.383)	Prec@5 64.000 (65.962)
Epoch: [5][620/9018]	Time 0.626 (0.618)	Data 0.001 (0.004)	Loss 2.7173 (2.6790)	Prec@1 31.000 (35.358)	Prec@5 67.000 (65.965)
Epoch: [5][630/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.7285 (2.6792)	Prec@1 35.500 (35.362)	Prec@5 65.000 (65.957)
Epoch: [5][640/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 2.7019 (2.6803)	Prec@1 34.000 (35.338)	Prec@5 65.000 (65.926)
Epoch: [5][650/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.6914 (2.6813)	Prec@1 37.000 (35.313)	Prec@5 63.500 (65.906)
Epoch: [5][660/9018]	Time 0.721 (0.618)	Data 0.001 (0.004)	Loss 2.7799 (2.6819)	Prec@1 34.000 (35.315)	Prec@5 61.500 (65.898)
Epoch: [5][670/9018]	Time 0.624 (0.618)	Data 0.001 (0.004)	Loss 2.6334 (2.6811)	Prec@1 35.000 (35.326)	Prec@5 68.000 (65.928)
Epoch: [5][680/9018]	Time 0.630 (0.618)	Data 0.001 (0.004)	Loss 2.4811 (2.6801)	Prec@1 40.500 (35.351)	Prec@5 71.000 (65.952)
Epoch: [5][690/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.4900 (2.6799)	Prec@1 36.500 (35.337)	Prec@5 70.000 (65.961)
Epoch: [5][700/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.5566 (2.6805)	Prec@1 39.000 (35.327)	Prec@5 73.500 (65.976)
Epoch: [5][710/9018]	Time 0.707 (0.617)	Data 0.001 (0.004)	Loss 2.5847 (2.6804)	Prec@1 38.000 (35.347)	Prec@5 66.500 (65.987)
Epoch: [5][720/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.6102 (2.6806)	Prec@1 32.500 (35.336)	Prec@5 68.000 (65.982)
Epoch: [5][730/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.8291 (2.6806)	Prec@1 35.500 (35.339)	Prec@5 61.000 (65.972)
Epoch: [5][740/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 2.4815 (2.6809)	Prec@1 42.000 (35.337)	Prec@5 64.000 (65.947)
Epoch: [5][750/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.5529 (2.6803)	Prec@1 31.500 (35.339)	Prec@5 75.500 (65.970)
Epoch: [5][760/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.8265 (2.6809)	Prec@1 34.500 (35.336)	Prec@5 67.000 (65.962)
Epoch: [5][770/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 2.6580 (2.6813)	Prec@1 40.500 (35.337)	Prec@5 66.500 (65.958)
Epoch: [5][780/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.8919 (2.6823)	Prec@1 35.000 (35.319)	Prec@5 58.500 (65.937)
Epoch: [5][790/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 2.7935 (2.6831)	Prec@1 31.000 (35.310)	Prec@5 65.500 (65.936)
Epoch: [5][800/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 2.6886 (2.6833)	Prec@1 32.000 (35.295)	Prec@5 63.500 (65.935)
Epoch: [5][810/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.6123 (2.6831)	Prec@1 40.000 (35.311)	Prec@5 66.500 (65.925)
Epoch: [5][820/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.7984 (2.6827)	Prec@1 40.500 (35.328)	Prec@5 66.000 (65.940)
Epoch: [5][830/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 2.8085 (2.6833)	Prec@1 30.500 (35.312)	Prec@5 68.000 (65.921)
Epoch: [5][840/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 2.7458 (2.6829)	Prec@1 32.000 (35.328)	Prec@5 65.500 (65.919)
Epoch: [5][850/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 2.6934 (2.6834)	Prec@1 35.000 (35.322)	Prec@5 65.500 (65.908)
Epoch: [5][860/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.7430 (2.6848)	Prec@1 35.000 (35.291)	Prec@5 67.000 (65.894)
Epoch: [5][870/9018]	Time 0.632 (0.617)	Data 0.001 (0.003)	Loss 2.7801 (2.6849)	Prec@1 34.000 (35.282)	Prec@5 65.000 (65.892)
Epoch: [5][880/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.4629 (2.6834)	Prec@1 39.000 (35.312)	Prec@5 70.500 (65.919)
Epoch: [5][890/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.7326 (2.6838)	Prec@1 36.000 (35.313)	Prec@5 68.000 (65.924)
Epoch: [5][900/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.7710 (2.6837)	Prec@1 36.500 (35.314)	Prec@5 65.500 (65.936)
Epoch: [5][910/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.8115 (2.6840)	Prec@1 31.000 (35.302)	Prec@5 60.000 (65.929)
Epoch: [5][920/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.7404 (2.6841)	Prec@1 34.500 (35.313)	Prec@5 63.500 (65.928)
Epoch: [5][930/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.6078 (2.6835)	Prec@1 33.000 (35.323)	Prec@5 68.000 (65.942)
Epoch: [5][940/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.4071 (2.6838)	Prec@1 40.000 (35.312)	Prec@5 74.500 (65.944)
Epoch: [5][950/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 3.0123 (2.6844)	Prec@1 30.000 (35.293)	Prec@5 59.000 (65.934)
Epoch: [5][960/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.6077 (2.6849)	Prec@1 36.000 (35.290)	Prec@5 68.500 (65.932)
Epoch: [5][970/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 2.5029 (2.6845)	Prec@1 37.000 (35.295)	Prec@5 68.500 (65.942)
Epoch: [5][980/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.6759 (2.6833)	Prec@1 34.000 (35.323)	Prec@5 66.000 (65.971)
Epoch: [5][990/9018]	Time 0.673 (0.616)	Data 0.001 (0.003)	Loss 2.6887 (2.6840)	Prec@1 30.500 (35.314)	Prec@5 70.000 (65.976)
Epoch: [5][1000/9018]	Time 0.633 (0.616)	Data 0.001 (0.003)	Loss 3.0060 (2.6843)	Prec@1 30.500 (35.310)	Prec@5 58.500 (65.967)
Epoch: [5][1010/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.8445 (2.6840)	Prec@1 31.000 (35.303)	Prec@5 63.000 (65.969)
Epoch: [5][1020/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.8068 (2.6840)	Prec@1 27.000 (35.301)	Prec@5 61.000 (65.968)
Epoch: [5][1030/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.7980 (2.6839)	Prec@1 30.000 (35.293)	Prec@5 60.500 (65.957)
Epoch: [5][1040/9018]	Time 0.727 (0.616)	Data 0.001 (0.003)	Loss 2.8251 (2.6845)	Prec@1 29.000 (35.283)	Prec@5 64.000 (65.950)
Epoch: [5][1050/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.6720 (2.6850)	Prec@1 38.500 (35.280)	Prec@5 63.000 (65.931)
Epoch: [5][1060/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.5208 (2.6844)	Prec@1 39.500 (35.297)	Prec@5 69.500 (65.943)
Epoch: [5][1070/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.6375 (2.6845)	Prec@1 34.000 (35.295)	Prec@5 65.500 (65.940)
Epoch: [5][1080/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.5002 (2.6845)	Prec@1 36.500 (35.293)	Prec@5 66.500 (65.938)
Epoch: [5][1090/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.7831 (2.6856)	Prec@1 27.000 (35.269)	Prec@5 65.500 (65.915)
Epoch: [5][1100/9018]	Time 0.628 (0.616)	Data 0.001 (0.003)	Loss 2.8073 (2.6854)	Prec@1 35.000 (35.275)	Prec@5 63.000 (65.909)
Epoch: [5][1110/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.4805 (2.6859)	Prec@1 37.500 (35.258)	Prec@5 70.500 (65.896)
Epoch: [5][1120/9018]	Time 0.630 (0.616)	Data 0.001 (0.003)	Loss 2.6237 (2.6863)	Prec@1 34.000 (35.260)	Prec@5 71.000 (65.900)
Epoch: [5][1130/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.5100 (2.6861)	Prec@1 37.000 (35.259)	Prec@5 66.500 (65.892)
Epoch: [5][1140/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.6244 (2.6861)	Prec@1 38.500 (35.265)	Prec@5 67.500 (65.889)
Epoch: [5][1150/9018]	Time 0.655 (0.616)	Data 0.001 (0.003)	Loss 2.7406 (2.6866)	Prec@1 37.500 (35.257)	Prec@5 65.000 (65.884)
Epoch: [5][1160/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6523 (2.6868)	Prec@1 35.500 (35.258)	Prec@5 67.500 (65.877)
Epoch: [5][1170/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6056 (2.6865)	Prec@1 38.500 (35.274)	Prec@5 63.500 (65.880)
Epoch: [5][1180/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6505 (2.6865)	Prec@1 32.500 (35.277)	Prec@5 65.000 (65.889)
Epoch: [5][1190/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6700 (2.6861)	Prec@1 33.000 (35.279)	Prec@5 66.000 (65.895)
Epoch: [5][1200/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.7698 (2.6862)	Prec@1 32.000 (35.277)	Prec@5 59.500 (65.889)
Epoch: [5][1210/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6551 (2.6861)	Prec@1 33.500 (35.268)	Prec@5 67.500 (65.899)
Epoch: [5][1220/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.5574 (2.6865)	Prec@1 35.500 (35.265)	Prec@5 68.000 (65.885)
Epoch: [5][1230/9018]	Time 0.641 (0.616)	Data 0.001 (0.002)	Loss 2.4756 (2.6861)	Prec@1 39.500 (35.262)	Prec@5 71.500 (65.894)
Epoch: [5][1240/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.7745 (2.6861)	Prec@1 32.000 (35.259)	Prec@5 62.000 (65.889)
Epoch: [5][1250/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.7329 (2.6858)	Prec@1 30.000 (35.255)	Prec@5 70.000 (65.900)
Epoch: [5][1260/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.8141 (2.6864)	Prec@1 30.000 (35.257)	Prec@5 64.500 (65.895)
Epoch: [5][1270/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.7025 (2.6868)	Prec@1 30.000 (35.250)	Prec@5 64.500 (65.880)
Epoch: [5][1280/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6152 (2.6869)	Prec@1 36.000 (35.245)	Prec@5 70.500 (65.888)
Epoch: [5][1290/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5156 (2.6865)	Prec@1 37.500 (35.248)	Prec@5 69.500 (65.899)
Epoch: [5][1300/9018]	Time 0.646 (0.616)	Data 0.001 (0.002)	Loss 2.4969 (2.6870)	Prec@1 42.000 (35.247)	Prec@5 68.500 (65.889)
Epoch: [5][1310/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6421 (2.6869)	Prec@1 35.500 (35.254)	Prec@5 66.500 (65.886)
Epoch: [5][1320/9018]	Time 0.713 (0.616)	Data 0.001 (0.002)	Loss 2.5302 (2.6868)	Prec@1 35.500 (35.253)	Prec@5 72.000 (65.900)
Epoch: [5][1330/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.6318 (2.6866)	Prec@1 36.500 (35.251)	Prec@5 68.000 (65.910)
Epoch: [5][1340/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.6326 (2.6866)	Prec@1 34.500 (35.235)	Prec@5 67.000 (65.903)
Epoch: [5][1350/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5129 (2.6867)	Prec@1 39.000 (35.235)	Prec@5 65.500 (65.899)
Epoch: [5][1360/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.7159 (2.6865)	Prec@1 36.000 (35.241)	Prec@5 64.500 (65.912)
Epoch: [5][1370/9018]	Time 0.690 (0.616)	Data 0.001 (0.002)	Loss 2.6182 (2.6856)	Prec@1 35.000 (35.260)	Prec@5 64.500 (65.925)
Epoch: [5][1380/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6845 (2.6856)	Prec@1 34.500 (35.263)	Prec@5 65.000 (65.921)
Epoch: [5][1390/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5604 (2.6855)	Prec@1 40.500 (35.254)	Prec@5 65.000 (65.926)
Epoch: [5][1400/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.7864 (2.6857)	Prec@1 35.000 (35.261)	Prec@5 67.500 (65.924)
Epoch: [5][1410/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.7417 (2.6855)	Prec@1 33.000 (35.257)	Prec@5 61.500 (65.922)
Epoch: [5][1420/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.7640 (2.6858)	Prec@1 33.000 (35.249)	Prec@5 68.500 (65.915)
Epoch: [5][1430/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5781 (2.6859)	Prec@1 37.500 (35.248)	Prec@5 66.500 (65.911)
Epoch: [5][1440/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7310 (2.6860)	Prec@1 31.500 (35.252)	Prec@5 66.000 (65.904)
Epoch: [5][1450/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.8447 (2.6860)	Prec@1 35.500 (35.267)	Prec@5 64.500 (65.901)
Epoch: [5][1460/9018]	Time 0.653 (0.616)	Data 0.001 (0.002)	Loss 2.8713 (2.6859)	Prec@1 32.000 (35.270)	Prec@5 63.500 (65.900)
Epoch: [5][1470/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.4639 (2.6860)	Prec@1 40.000 (35.279)	Prec@5 68.000 (65.898)
Epoch: [5][1480/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.5254 (2.6860)	Prec@1 34.000 (35.276)	Prec@5 69.000 (65.897)
Epoch: [5][1490/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.6242 (2.6859)	Prec@1 33.000 (35.281)	Prec@5 67.000 (65.896)
Epoch: [5][1500/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.9681 (2.6863)	Prec@1 29.500 (35.270)	Prec@5 58.500 (65.877)
Epoch: [5][1510/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.7233 (2.6862)	Prec@1 36.500 (35.275)	Prec@5 65.500 (65.879)
Epoch: [5][1520/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5741 (2.6860)	Prec@1 36.500 (35.272)	Prec@5 71.500 (65.881)
Epoch: [5][1530/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4824 (2.6857)	Prec@1 41.000 (35.278)	Prec@5 72.000 (65.885)
Epoch: [5][1540/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.8245 (2.6857)	Prec@1 30.000 (35.277)	Prec@5 61.500 (65.879)
Epoch: [5][1550/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 3.0682 (2.6862)	Prec@1 34.000 (35.279)	Prec@5 57.500 (65.869)
Epoch: [5][1560/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5038 (2.6857)	Prec@1 38.000 (35.288)	Prec@5 67.000 (65.876)
Epoch: [5][1570/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.6536 (2.6856)	Prec@1 37.000 (35.293)	Prec@5 64.500 (65.877)
Epoch: [5][1580/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.8127 (2.6854)	Prec@1 34.000 (35.292)	Prec@5 61.000 (65.879)
Epoch: [5][1590/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.7178 (2.6855)	Prec@1 37.000 (35.294)	Prec@5 63.500 (65.883)
Epoch: [5][1600/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.8305 (2.6861)	Prec@1 30.500 (35.293)	Prec@5 62.500 (65.871)
Epoch: [5][1610/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.7098 (2.6862)	Prec@1 38.500 (35.297)	Prec@5 66.000 (65.873)
Epoch: [5][1620/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.7225 (2.6860)	Prec@1 35.000 (35.299)	Prec@5 66.000 (65.873)
Epoch: [5][1630/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4571 (2.6859)	Prec@1 42.000 (35.309)	Prec@5 72.500 (65.876)
Epoch: [5][1640/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.6434 (2.6862)	Prec@1 37.000 (35.308)	Prec@5 63.000 (65.862)
Epoch: [5][1650/9018]	Time 0.704 (0.616)	Data 0.001 (0.002)	Loss 2.8048 (2.6858)	Prec@1 38.500 (35.318)	Prec@5 63.500 (65.860)
Epoch: [5][1660/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5435 (2.6854)	Prec@1 42.000 (35.325)	Prec@5 73.000 (65.869)
Epoch: [5][1670/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.7834 (2.6856)	Prec@1 27.500 (35.316)	Prec@5 64.000 (65.866)
Epoch: [5][1680/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.5540 (2.6856)	Prec@1 37.500 (35.318)	Prec@5 71.000 (65.870)
Epoch: [5][1690/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6294 (2.6858)	Prec@1 39.000 (35.316)	Prec@5 65.500 (65.865)
Epoch: [5][1700/9018]	Time 0.707 (0.616)	Data 0.001 (0.002)	Loss 2.6055 (2.6856)	Prec@1 40.000 (35.323)	Prec@5 65.500 (65.876)
Epoch: [5][1710/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6794 (2.6857)	Prec@1 32.500 (35.324)	Prec@5 69.500 (65.879)
Epoch: [5][1720/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.5420 (2.6857)	Prec@1 37.500 (35.322)	Prec@5 67.500 (65.874)
Epoch: [5][1730/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.8608 (2.6858)	Prec@1 34.000 (35.326)	Prec@5 61.500 (65.870)
Epoch: [5][1740/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4833 (2.6860)	Prec@1 35.000 (35.324)	Prec@5 69.500 (65.869)
Epoch: [5][1750/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.7228 (2.6857)	Prec@1 34.000 (35.325)	Prec@5 69.000 (65.876)
Epoch: [5][1760/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 3.0666 (2.6855)	Prec@1 33.000 (35.333)	Prec@5 55.500 (65.880)
Epoch: [5][1770/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6845 (2.6853)	Prec@1 35.000 (35.341)	Prec@5 62.000 (65.878)
Epoch: [5][1780/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.7624 (2.6854)	Prec@1 33.500 (35.336)	Prec@5 67.000 (65.885)
Epoch: [5][1790/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.7521 (2.6858)	Prec@1 34.500 (35.333)	Prec@5 68.500 (65.881)
Epoch: [5][1800/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.3048 (2.6854)	Prec@1 42.000 (35.344)	Prec@5 73.000 (65.883)
Epoch: [5][1810/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7238 (2.6858)	Prec@1 30.500 (35.335)	Prec@5 63.000 (65.877)
Epoch: [5][1820/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.5827 (2.6859)	Prec@1 36.500 (35.334)	Prec@5 68.500 (65.876)
Epoch: [5][1830/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.7363 (2.6857)	Prec@1 34.500 (35.339)	Prec@5 65.000 (65.881)
Epoch: [5][1840/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.7665 (2.6856)	Prec@1 32.500 (35.347)	Prec@5 69.000 (65.885)
Epoch: [5][1850/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.6543 (2.6857)	Prec@1 34.500 (35.351)	Prec@5 64.000 (65.884)
Epoch: [5][1860/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.8067 (2.6856)	Prec@1 33.500 (35.353)	Prec@5 61.000 (65.882)
Epoch: [5][1870/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4322 (2.6853)	Prec@1 37.500 (35.353)	Prec@5 69.000 (65.888)
Epoch: [5][1880/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.5197 (2.6850)	Prec@1 35.500 (35.350)	Prec@5 69.000 (65.890)
Epoch: [5][1890/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4750 (2.6848)	Prec@1 41.000 (35.362)	Prec@5 71.500 (65.898)
Epoch: [5][1900/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7881 (2.6847)	Prec@1 29.000 (35.363)	Prec@5 64.000 (65.903)
Epoch: [5][1910/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.8024 (2.6850)	Prec@1 33.000 (35.353)	Prec@5 61.500 (65.897)
Epoch: [5][1920/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.6224 (2.6851)	Prec@1 34.500 (35.353)	Prec@5 68.500 (65.894)
Epoch: [5][1930/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.6089 (2.6852)	Prec@1 35.000 (35.353)	Prec@5 64.500 (65.887)
Epoch: [5][1940/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7308 (2.6849)	Prec@1 36.500 (35.359)	Prec@5 62.500 (65.894)
Epoch: [5][1950/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6314 (2.6846)	Prec@1 39.500 (35.365)	Prec@5 68.500 (65.901)
Epoch: [5][1960/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.6567 (2.6846)	Prec@1 35.500 (35.364)	Prec@5 64.500 (65.895)
Epoch: [5][1970/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.6778 (2.6845)	Prec@1 38.500 (35.372)	Prec@5 68.000 (65.900)
Epoch: [5][1980/9018]	Time 0.713 (0.615)	Data 0.001 (0.002)	Loss 2.5752 (2.6847)	Prec@1 39.500 (35.371)	Prec@5 67.500 (65.893)
Epoch: [5][1990/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.7985 (2.6847)	Prec@1 33.500 (35.368)	Prec@5 61.500 (65.892)
Epoch: [5][2000/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.7390 (2.6848)	Prec@1 31.500 (35.366)	Prec@5 68.000 (65.894)
Epoch: [5][2010/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6308 (2.6848)	Prec@1 35.000 (35.359)	Prec@5 66.000 (65.892)
Epoch: [5][2020/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4688 (2.6848)	Prec@1 38.500 (35.355)	Prec@5 71.500 (65.892)
Epoch: [5][2030/9018]	Time 0.725 (0.615)	Data 0.001 (0.002)	Loss 2.7811 (2.6847)	Prec@1 36.500 (35.362)	Prec@5 63.500 (65.891)
Epoch: [5][2040/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6782 (2.6848)	Prec@1 35.500 (35.363)	Prec@5 64.000 (65.889)
Epoch: [5][2050/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.8745 (2.6850)	Prec@1 28.000 (35.354)	Prec@5 63.500 (65.885)
Epoch: [5][2060/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.9152 (2.6853)	Prec@1 29.000 (35.350)	Prec@5 64.000 (65.885)
Epoch: [5][2070/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.8732 (2.6858)	Prec@1 32.000 (35.339)	Prec@5 62.500 (65.880)
Epoch: [5][2080/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7031 (2.6862)	Prec@1 36.000 (35.331)	Prec@5 64.500 (65.867)
Epoch: [5][2090/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.5164 (2.6862)	Prec@1 38.500 (35.335)	Prec@5 69.500 (65.874)
Epoch: [5][2100/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.6652 (2.6861)	Prec@1 38.500 (35.338)	Prec@5 65.500 (65.875)
Epoch: [5][2110/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.7132 (2.6862)	Prec@1 39.500 (35.335)	Prec@5 66.000 (65.874)
Epoch: [5][2120/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6194 (2.6865)	Prec@1 39.500 (35.330)	Prec@5 72.000 (65.876)
Epoch: [5][2130/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.5364 (2.6864)	Prec@1 40.500 (35.330)	Prec@5 67.500 (65.877)
Epoch: [5][2140/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 2.6560 (2.6862)	Prec@1 37.000 (35.339)	Prec@5 64.000 (65.877)
Epoch: [5][2150/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.6951 (2.6863)	Prec@1 33.000 (35.341)	Prec@5 68.500 (65.873)
Epoch: [5][2160/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6317 (2.6862)	Prec@1 33.000 (35.340)	Prec@5 65.000 (65.879)
Epoch: [5][2170/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 3.0186 (2.6868)	Prec@1 28.500 (35.331)	Prec@5 57.000 (65.868)
Epoch: [5][2180/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7053 (2.6870)	Prec@1 35.500 (35.323)	Prec@5 63.500 (65.857)
Epoch: [5][2190/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.6180 (2.6870)	Prec@1 37.500 (35.324)	Prec@5 64.500 (65.855)
Epoch: [5][2200/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7193 (2.6870)	Prec@1 35.500 (35.323)	Prec@5 63.500 (65.854)
Epoch: [5][2210/9018]	Time 0.641 (0.615)	Data 0.001 (0.002)	Loss 3.0427 (2.6876)	Prec@1 29.000 (35.313)	Prec@5 56.000 (65.840)
Epoch: [5][2220/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.8091 (2.6879)	Prec@1 35.000 (35.313)	Prec@5 64.500 (65.835)
Epoch: [5][2230/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.7198 (2.6881)	Prec@1 33.500 (35.315)	Prec@5 62.000 (65.832)
Epoch: [5][2240/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.7141 (2.6882)	Prec@1 36.000 (35.317)	Prec@5 65.000 (65.831)
Epoch: [5][2250/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.7005 (2.6883)	Prec@1 32.000 (35.318)	Prec@5 66.500 (65.827)
Epoch: [5][2260/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.7732 (2.6885)	Prec@1 32.500 (35.319)	Prec@5 61.000 (65.824)
Epoch: [5][2270/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.8592 (2.6886)	Prec@1 31.500 (35.318)	Prec@5 63.500 (65.824)
Epoch: [5][2280/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.8497 (2.6885)	Prec@1 34.000 (35.318)	Prec@5 64.000 (65.826)
Epoch: [5][2290/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.7449 (2.6887)	Prec@1 34.500 (35.316)	Prec@5 68.000 (65.825)
Epoch: [5][2300/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6586 (2.6884)	Prec@1 32.500 (35.317)	Prec@5 66.000 (65.831)
Epoch: [5][2310/9018]	Time 0.722 (0.615)	Data 0.001 (0.002)	Loss 2.7616 (2.6884)	Prec@1 28.500 (35.310)	Prec@5 66.500 (65.830)
Epoch: [5][2320/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.8939 (2.6881)	Prec@1 32.500 (35.316)	Prec@5 59.000 (65.839)
Epoch: [5][2330/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5309 (2.6882)	Prec@1 39.000 (35.315)	Prec@5 66.000 (65.829)
Epoch: [5][2340/9018]	Time 0.644 (0.615)	Data 0.001 (0.002)	Loss 2.7431 (2.6884)	Prec@1 34.000 (35.312)	Prec@5 65.500 (65.827)
Epoch: [5][2350/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.9001 (2.6885)	Prec@1 30.500 (35.306)	Prec@5 64.500 (65.827)
Epoch: [5][2360/9018]	Time 0.718 (0.615)	Data 0.001 (0.002)	Loss 2.4137 (2.6882)	Prec@1 39.500 (35.317)	Prec@5 71.000 (65.829)
Epoch: [5][2370/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.7186 (2.6882)	Prec@1 37.000 (35.319)	Prec@5 59.500 (65.830)
Epoch: [5][2380/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.8376 (2.6880)	Prec@1 35.500 (35.318)	Prec@5 59.500 (65.835)
Epoch: [5][2390/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.9224 (2.6880)	Prec@1 31.500 (35.319)	Prec@5 58.500 (65.835)
Epoch: [5][2400/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6888 (2.6878)	Prec@1 35.500 (35.323)	Prec@5 63.500 (65.841)
Epoch: [5][2410/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.8932 (2.6881)	Prec@1 36.000 (35.319)	Prec@5 63.000 (65.835)
Epoch: [5][2420/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.7202 (2.6882)	Prec@1 37.500 (35.316)	Prec@5 64.000 (65.831)
Epoch: [5][2430/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.8628 (2.6883)	Prec@1 33.500 (35.311)	Prec@5 64.500 (65.833)
Epoch: [5][2440/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.6406 (2.6881)	Prec@1 35.500 (35.315)	Prec@5 67.500 (65.838)
Epoch: [5][2450/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.9372 (2.6881)	Prec@1 33.000 (35.318)	Prec@5 68.000 (65.841)
Epoch: [5][2460/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.7155 (2.6882)	Prec@1 35.000 (35.318)	Prec@5 62.500 (65.842)
Epoch: [5][2470/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.6824 (2.6882)	Prec@1 35.500 (35.317)	Prec@5 66.500 (65.842)
Epoch: [5][2480/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.7221 (2.6882)	Prec@1 32.000 (35.315)	Prec@5 66.500 (65.842)
Epoch: [5][2490/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7027 (2.6885)	Prec@1 32.000 (35.311)	Prec@5 69.500 (65.840)
Epoch: [5][2500/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6194 (2.6885)	Prec@1 35.000 (35.312)	Prec@5 65.500 (65.840)
Epoch: [5][2510/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6836 (2.6886)	Prec@1 36.500 (35.314)	Prec@5 67.000 (65.844)
Epoch: [5][2520/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.7226 (2.6885)	Prec@1 35.500 (35.315)	Prec@5 67.000 (65.845)
Epoch: [5][2530/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.5689 (2.6886)	Prec@1 37.500 (35.316)	Prec@5 72.000 (65.844)
Epoch: [5][2540/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.6326 (2.6883)	Prec@1 36.000 (35.316)	Prec@5 67.500 (65.849)
Epoch: [5][2550/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.6629 (2.6882)	Prec@1 38.000 (35.316)	Prec@5 65.500 (65.849)
Epoch: [5][2560/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6190 (2.6881)	Prec@1 35.000 (35.315)	Prec@5 66.000 (65.850)
Epoch: [5][2570/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.5760 (2.6883)	Prec@1 37.000 (35.313)	Prec@5 68.000 (65.842)
Epoch: [5][2580/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7210 (2.6884)	Prec@1 35.000 (35.314)	Prec@5 62.500 (65.839)
Epoch: [5][2590/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.6821 (2.6885)	Prec@1 37.500 (35.310)	Prec@5 63.000 (65.839)
Epoch: [5][2600/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.6691 (2.6886)	Prec@1 39.000 (35.309)	Prec@5 65.500 (65.839)
Epoch: [5][2610/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.9056 (2.6888)	Prec@1 33.500 (35.305)	Prec@5 60.500 (65.840)
Epoch: [5][2620/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.7200 (2.6889)	Prec@1 34.000 (35.304)	Prec@5 66.000 (65.836)
Epoch: [5][2630/9018]	Time 0.588 (0.615)	Data 0.001 (0.002)	Loss 2.6178 (2.6889)	Prec@1 38.500 (35.305)	Prec@5 67.000 (65.836)
Epoch: [5][2640/9018]	Time 0.682 (0.615)	Data 0.001 (0.001)	Loss 2.7300 (2.6887)	Prec@1 31.000 (35.305)	Prec@5 65.500 (65.839)
Epoch: [5][2650/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7589 (2.6887)	Prec@1 38.000 (35.309)	Prec@5 60.000 (65.837)
Epoch: [5][2660/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6846 (2.6885)	Prec@1 41.500 (35.314)	Prec@5 63.000 (65.839)
Epoch: [5][2670/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6041 (2.6885)	Prec@1 36.000 (35.316)	Prec@5 67.000 (65.843)
Epoch: [5][2680/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6276 (2.6883)	Prec@1 33.500 (35.313)	Prec@5 67.500 (65.850)
Epoch: [5][2690/9018]	Time 0.699 (0.615)	Data 0.001 (0.001)	Loss 2.6580 (2.6883)	Prec@1 37.500 (35.315)	Prec@5 66.000 (65.849)
Epoch: [5][2700/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6646 (2.6883)	Prec@1 35.500 (35.309)	Prec@5 66.000 (65.849)
Epoch: [5][2710/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6034 (2.6882)	Prec@1 38.500 (35.316)	Prec@5 69.500 (65.854)
Epoch: [5][2720/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6602 (2.6883)	Prec@1 35.500 (35.314)	Prec@5 67.500 (65.853)
Epoch: [5][2730/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5848 (2.6883)	Prec@1 40.500 (35.316)	Prec@5 64.000 (65.849)
Epoch: [5][2740/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8070 (2.6882)	Prec@1 29.000 (35.317)	Prec@5 62.000 (65.850)
Epoch: [5][2750/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.7227 (2.6881)	Prec@1 35.000 (35.320)	Prec@5 67.500 (65.851)
Epoch: [5][2760/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6026 (2.6882)	Prec@1 38.000 (35.318)	Prec@5 67.500 (65.847)
Epoch: [5][2770/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6536 (2.6880)	Prec@1 37.500 (35.319)	Prec@5 64.000 (65.853)
Epoch: [5][2780/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6985 (2.6878)	Prec@1 37.500 (35.322)	Prec@5 66.000 (65.858)
Epoch: [5][2790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 3.0429 (2.6880)	Prec@1 26.500 (35.316)	Prec@5 58.500 (65.855)
Epoch: [5][2800/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.8472 (2.6882)	Prec@1 32.500 (35.314)	Prec@5 60.000 (65.850)
Epoch: [5][2810/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5628 (2.6879)	Prec@1 34.500 (35.316)	Prec@5 67.500 (65.855)
Epoch: [5][2820/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6381 (2.6876)	Prec@1 34.500 (35.324)	Prec@5 68.000 (65.860)
Epoch: [5][2830/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8519 (2.6877)	Prec@1 30.000 (35.318)	Prec@5 58.500 (65.856)
Epoch: [5][2840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7288 (2.6879)	Prec@1 34.000 (35.316)	Prec@5 65.500 (65.849)
Epoch: [5][2850/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8178 (2.6880)	Prec@1 34.500 (35.314)	Prec@5 61.500 (65.849)
Epoch: [5][2860/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.9707 (2.6883)	Prec@1 27.000 (35.307)	Prec@5 58.500 (65.844)
Epoch: [5][2870/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6651 (2.6883)	Prec@1 34.500 (35.305)	Prec@5 71.500 (65.846)
Epoch: [5][2880/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4192 (2.6884)	Prec@1 42.000 (35.308)	Prec@5 72.000 (65.849)
Epoch: [5][2890/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6954 (2.6885)	Prec@1 29.000 (35.302)	Prec@5 64.500 (65.843)
Epoch: [5][2900/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7332 (2.6886)	Prec@1 36.000 (35.297)	Prec@5 69.500 (65.846)
Epoch: [5][2910/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4007 (2.6882)	Prec@1 38.500 (35.301)	Prec@5 70.500 (65.852)
Epoch: [5][2920/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6514 (2.6883)	Prec@1 38.500 (35.296)	Prec@5 63.000 (65.846)
Epoch: [5][2930/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6873 (2.6882)	Prec@1 44.500 (35.301)	Prec@5 63.000 (65.849)
Epoch: [5][2940/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6459 (2.6884)	Prec@1 32.000 (35.295)	Prec@5 63.000 (65.843)
Epoch: [5][2950/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4126 (2.6879)	Prec@1 39.000 (35.308)	Prec@5 72.500 (65.856)
Epoch: [5][2960/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6977 (2.6877)	Prec@1 37.000 (35.312)	Prec@5 68.000 (65.861)
Epoch: [5][2970/9018]	Time 0.711 (0.615)	Data 0.001 (0.001)	Loss 2.7269 (2.6876)	Prec@1 34.500 (35.310)	Prec@5 64.500 (65.857)
Epoch: [5][2980/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6331 (2.6877)	Prec@1 37.000 (35.310)	Prec@5 66.500 (65.860)
Epoch: [5][2990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8190 (2.6875)	Prec@1 33.500 (35.314)	Prec@5 64.000 (65.863)
Epoch: [5][3000/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5698 (2.6877)	Prec@1 35.500 (35.308)	Prec@5 65.500 (65.861)
Epoch: [5][3010/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7250 (2.6878)	Prec@1 32.500 (35.304)	Prec@5 64.500 (65.857)
Epoch: [5][3020/9018]	Time 0.699 (0.615)	Data 0.001 (0.001)	Loss 2.7149 (2.6879)	Prec@1 30.000 (35.303)	Prec@5 65.500 (65.855)
Epoch: [5][3030/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7456 (2.6878)	Prec@1 35.500 (35.304)	Prec@5 63.500 (65.856)
Epoch: [5][3040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7347 (2.6881)	Prec@1 30.000 (35.298)	Prec@5 60.500 (65.847)
Epoch: [5][3050/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6566 (2.6882)	Prec@1 43.000 (35.302)	Prec@5 67.000 (65.846)
Epoch: [5][3060/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5236 (2.6881)	Prec@1 41.500 (35.310)	Prec@5 68.000 (65.849)
Epoch: [5][3070/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.9681 (2.6883)	Prec@1 32.500 (35.309)	Prec@5 62.500 (65.850)
Epoch: [5][3080/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6714 (2.6882)	Prec@1 37.500 (35.312)	Prec@5 63.000 (65.851)
Epoch: [5][3090/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8898 (2.6881)	Prec@1 34.500 (35.316)	Prec@5 62.500 (65.851)
Epoch: [5][3100/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.9212 (2.6883)	Prec@1 28.500 (35.312)	Prec@5 62.000 (65.848)
Epoch: [5][3110/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6634 (2.6883)	Prec@1 39.500 (35.311)	Prec@5 63.500 (65.847)
Epoch: [5][3120/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6160 (2.6882)	Prec@1 39.500 (35.318)	Prec@5 65.000 (65.843)
Epoch: [5][3130/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6666 (2.6881)	Prec@1 38.000 (35.320)	Prec@5 63.500 (65.843)
Epoch: [5][3140/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4846 (2.6880)	Prec@1 41.000 (35.320)	Prec@5 67.000 (65.846)
Epoch: [5][3150/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.9290 (2.6883)	Prec@1 28.500 (35.318)	Prec@5 62.500 (65.842)
Epoch: [5][3160/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6735 (2.6880)	Prec@1 34.500 (35.323)	Prec@5 69.000 (65.848)
Epoch: [5][3170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5520 (2.6881)	Prec@1 42.500 (35.324)	Prec@5 71.000 (65.848)
Epoch: [5][3180/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5475 (2.6880)	Prec@1 38.500 (35.326)	Prec@5 67.000 (65.849)
Epoch: [5][3190/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7377 (2.6880)	Prec@1 32.000 (35.328)	Prec@5 68.000 (65.850)
Epoch: [5][3200/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5480 (2.6878)	Prec@1 38.500 (35.328)	Prec@5 70.500 (65.852)
Epoch: [5][3210/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.8847 (2.6879)	Prec@1 30.500 (35.325)	Prec@5 60.000 (65.850)
Epoch: [5][3220/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5765 (2.6878)	Prec@1 36.000 (35.320)	Prec@5 71.500 (65.852)
Epoch: [5][3230/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.7250 (2.6879)	Prec@1 33.000 (35.318)	Prec@5 63.000 (65.852)
Epoch: [5][3240/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6331 (2.6881)	Prec@1 36.000 (35.316)	Prec@5 67.000 (65.849)
Epoch: [5][3250/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7681 (2.6879)	Prec@1 34.000 (35.314)	Prec@5 67.000 (65.854)
Epoch: [5][3260/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7668 (2.6880)	Prec@1 33.500 (35.310)	Prec@5 67.500 (65.858)
Epoch: [5][3270/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6565 (2.6881)	Prec@1 36.500 (35.309)	Prec@5 66.500 (65.857)
Epoch: [5][3280/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6270 (2.6881)	Prec@1 39.000 (35.309)	Prec@5 70.000 (65.858)
Epoch: [5][3290/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6191 (2.6880)	Prec@1 36.500 (35.309)	Prec@5 67.000 (65.860)
Epoch: [5][3300/9018]	Time 0.697 (0.615)	Data 0.001 (0.001)	Loss 2.6680 (2.6876)	Prec@1 35.000 (35.316)	Prec@5 64.000 (65.863)
Epoch: [5][3310/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7061 (2.6876)	Prec@1 35.500 (35.317)	Prec@5 65.500 (65.865)
Epoch: [5][3320/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8590 (2.6875)	Prec@1 30.500 (35.319)	Prec@5 59.500 (65.868)
Epoch: [5][3330/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.7323 (2.6875)	Prec@1 29.000 (35.313)	Prec@5 66.000 (65.869)
Epoch: [5][3340/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5326 (2.6872)	Prec@1 34.000 (35.321)	Prec@5 71.000 (65.871)
Epoch: [5][3350/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.6375 (2.6872)	Prec@1 29.500 (35.322)	Prec@5 67.500 (65.871)
Epoch: [5][3360/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.9797 (2.6872)	Prec@1 28.500 (35.325)	Prec@5 56.000 (65.870)
Epoch: [5][3370/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6037 (2.6871)	Prec@1 35.000 (35.328)	Prec@5 69.000 (65.872)
Epoch: [5][3380/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5752 (2.6871)	Prec@1 39.500 (35.329)	Prec@5 68.000 (65.872)
Epoch: [5][3390/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4982 (2.6871)	Prec@1 40.000 (35.323)	Prec@5 70.000 (65.870)
Epoch: [5][3400/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7603 (2.6870)	Prec@1 33.500 (35.325)	Prec@5 63.000 (65.874)
Epoch: [5][3410/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.7684 (2.6871)	Prec@1 33.500 (35.320)	Prec@5 65.000 (65.871)
Epoch: [5][3420/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5227 (2.6872)	Prec@1 38.500 (35.322)	Prec@5 70.000 (65.873)
Epoch: [5][3430/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5959 (2.6871)	Prec@1 32.500 (35.320)	Prec@5 66.000 (65.872)
Epoch: [5][3440/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4767 (2.6871)	Prec@1 36.500 (35.317)	Prec@5 73.000 (65.877)
Epoch: [5][3450/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6747 (2.6872)	Prec@1 33.500 (35.315)	Prec@5 67.500 (65.877)
Epoch: [5][3460/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4480 (2.6873)	Prec@1 44.000 (35.314)	Prec@5 69.000 (65.875)
Epoch: [5][3470/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6571 (2.6871)	Prec@1 33.500 (35.317)	Prec@5 68.500 (65.880)
Epoch: [5][3480/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.9094 (2.6873)	Prec@1 28.500 (35.313)	Prec@5 60.000 (65.880)
Epoch: [5][3490/9018]	Time 0.652 (0.615)	Data 0.001 (0.001)	Loss 2.7462 (2.6873)	Prec@1 32.000 (35.314)	Prec@5 62.000 (65.881)
Epoch: [5][3500/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7261 (2.6873)	Prec@1 37.000 (35.313)	Prec@5 68.500 (65.883)
Epoch: [5][3510/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6392 (2.6873)	Prec@1 36.500 (35.314)	Prec@5 64.000 (65.883)
Epoch: [5][3520/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6234 (2.6873)	Prec@1 38.000 (35.319)	Prec@5 65.500 (65.884)
Epoch: [5][3530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8078 (2.6874)	Prec@1 32.500 (35.317)	Prec@5 65.500 (65.879)
Epoch: [5][3540/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5853 (2.6874)	Prec@1 38.000 (35.318)	Prec@5 70.500 (65.883)
Epoch: [5][3550/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7754 (2.6874)	Prec@1 33.500 (35.319)	Prec@5 63.500 (65.883)
Epoch: [5][3560/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7365 (2.6874)	Prec@1 34.000 (35.322)	Prec@5 63.000 (65.884)
Epoch: [5][3570/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9966 (2.6872)	Prec@1 30.000 (35.324)	Prec@5 59.000 (65.885)
Epoch: [5][3580/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5096 (2.6872)	Prec@1 37.500 (35.321)	Prec@5 70.500 (65.886)
Epoch: [5][3590/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7317 (2.6873)	Prec@1 32.500 (35.319)	Prec@5 67.000 (65.885)
Epoch: [5][3600/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8858 (2.6873)	Prec@1 31.000 (35.320)	Prec@5 64.500 (65.885)
Epoch: [5][3610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4227 (2.6873)	Prec@1 35.000 (35.318)	Prec@5 73.000 (65.883)
Epoch: [5][3620/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5397 (2.6874)	Prec@1 42.000 (35.316)	Prec@5 68.500 (65.881)
Epoch: [5][3630/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.6929 (2.6874)	Prec@1 37.500 (35.314)	Prec@5 62.500 (65.878)
Epoch: [5][3640/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6361 (2.6875)	Prec@1 37.000 (35.312)	Prec@5 70.500 (65.876)
Epoch: [5][3650/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6966 (2.6872)	Prec@1 33.500 (35.314)	Prec@5 64.000 (65.882)
Epoch: [5][3660/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8290 (2.6872)	Prec@1 33.500 (35.320)	Prec@5 64.000 (65.880)
Epoch: [5][3670/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5349 (2.6871)	Prec@1 39.000 (35.325)	Prec@5 68.500 (65.882)
Epoch: [5][3680/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.6384 (2.6871)	Prec@1 34.500 (35.326)	Prec@5 68.000 (65.881)
Epoch: [5][3690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8935 (2.6872)	Prec@1 32.500 (35.317)	Prec@5 58.500 (65.877)
Epoch: [5][3700/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8999 (2.6873)	Prec@1 33.500 (35.316)	Prec@5 61.000 (65.877)
Epoch: [5][3710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8066 (2.6874)	Prec@1 35.500 (35.314)	Prec@5 64.000 (65.871)
Epoch: [5][3720/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6914 (2.6873)	Prec@1 37.500 (35.314)	Prec@5 62.500 (65.872)
Epoch: [5][3730/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8523 (2.6874)	Prec@1 32.000 (35.314)	Prec@5 62.500 (65.872)
Epoch: [5][3740/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5483 (2.6873)	Prec@1 43.000 (35.318)	Prec@5 66.500 (65.874)
Epoch: [5][3750/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5213 (2.6872)	Prec@1 38.000 (35.320)	Prec@5 68.000 (65.875)
Epoch: [5][3760/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5394 (2.6873)	Prec@1 35.500 (35.318)	Prec@5 69.500 (65.874)
Epoch: [5][3770/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8425 (2.6870)	Prec@1 32.500 (35.320)	Prec@5 62.500 (65.877)
Epoch: [5][3780/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6286 (2.6869)	Prec@1 39.000 (35.325)	Prec@5 68.500 (65.877)
Epoch: [5][3790/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6859 (2.6867)	Prec@1 35.000 (35.327)	Prec@5 67.000 (65.881)
Epoch: [5][3800/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7224 (2.6867)	Prec@1 38.500 (35.325)	Prec@5 66.500 (65.879)
Epoch: [5][3810/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6707 (2.6866)	Prec@1 36.000 (35.329)	Prec@5 66.000 (65.882)
Epoch: [5][3820/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7207 (2.6865)	Prec@1 33.500 (35.331)	Prec@5 65.500 (65.885)
Epoch: [5][3830/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6506 (2.6866)	Prec@1 36.000 (35.330)	Prec@5 72.000 (65.886)
Epoch: [5][3840/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7327 (2.6866)	Prec@1 32.000 (35.327)	Prec@5 66.000 (65.883)
Epoch: [5][3850/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6388 (2.6866)	Prec@1 37.500 (35.326)	Prec@5 67.000 (65.882)
Epoch: [5][3860/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7788 (2.6867)	Prec@1 36.000 (35.328)	Prec@5 61.500 (65.880)
Epoch: [5][3870/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5075 (2.6867)	Prec@1 40.000 (35.326)	Prec@5 66.500 (65.880)
Epoch: [5][3880/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6795 (2.6866)	Prec@1 33.000 (35.326)	Prec@5 64.500 (65.880)
Epoch: [5][3890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6839 (2.6866)	Prec@1 37.000 (35.328)	Prec@5 66.500 (65.883)
Epoch: [5][3900/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4102 (2.6865)	Prec@1 37.500 (35.329)	Prec@5 71.500 (65.884)
Epoch: [5][3910/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7001 (2.6866)	Prec@1 33.500 (35.324)	Prec@5 66.000 (65.882)
Epoch: [5][3920/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 3.0093 (2.6867)	Prec@1 27.000 (35.321)	Prec@5 60.000 (65.878)
Epoch: [5][3930/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5783 (2.6866)	Prec@1 36.500 (35.321)	Prec@5 69.500 (65.881)
Epoch: [5][3940/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.3949 (2.6863)	Prec@1 36.500 (35.326)	Prec@5 72.500 (65.887)
Epoch: [5][3950/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8442 (2.6862)	Prec@1 33.000 (35.330)	Prec@5 63.000 (65.891)
Epoch: [5][3960/9018]	Time 0.697 (0.615)	Data 0.001 (0.001)	Loss 2.6623 (2.6860)	Prec@1 34.500 (35.333)	Prec@5 66.500 (65.895)
Epoch: [5][3970/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.8121 (2.6861)	Prec@1 34.000 (35.328)	Prec@5 64.000 (65.892)
Epoch: [5][3980/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6794 (2.6862)	Prec@1 36.500 (35.325)	Prec@5 65.000 (65.889)
Epoch: [5][3990/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5013 (2.6862)	Prec@1 43.500 (35.323)	Prec@5 68.500 (65.892)
Epoch: [5][4000/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7987 (2.6862)	Prec@1 36.000 (35.329)	Prec@5 61.000 (65.891)
Epoch: [5][4010/9018]	Time 0.707 (0.615)	Data 0.001 (0.001)	Loss 2.7625 (2.6862)	Prec@1 32.000 (35.328)	Prec@5 63.000 (65.892)
Epoch: [5][4020/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8178 (2.6863)	Prec@1 36.000 (35.328)	Prec@5 61.500 (65.889)
Epoch: [5][4030/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7451 (2.6862)	Prec@1 34.000 (35.331)	Prec@5 65.000 (65.891)
Epoch: [5][4040/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5457 (2.6862)	Prec@1 40.500 (35.333)	Prec@5 69.000 (65.890)
Epoch: [5][4050/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.8473 (2.6862)	Prec@1 33.500 (35.334)	Prec@5 64.500 (65.890)
Epoch: [5][4060/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5877 (2.6862)	Prec@1 35.500 (35.336)	Prec@5 65.000 (65.890)
Epoch: [5][4070/9018]	Time 0.648 (0.615)	Data 0.001 (0.001)	Loss 2.8044 (2.6861)	Prec@1 36.000 (35.341)	Prec@5 66.500 (65.890)
Epoch: [5][4080/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.9364 (2.6862)	Prec@1 31.500 (35.338)	Prec@5 62.500 (65.891)
Epoch: [5][4090/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7102 (2.6862)	Prec@1 36.500 (35.341)	Prec@5 65.500 (65.892)
Epoch: [5][4100/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5731 (2.6861)	Prec@1 34.500 (35.341)	Prec@5 67.500 (65.892)
Epoch: [5][4110/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6411 (2.6861)	Prec@1 38.000 (35.341)	Prec@5 67.000 (65.893)
Epoch: [5][4120/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6075 (2.6860)	Prec@1 37.500 (35.345)	Prec@5 64.000 (65.893)
Epoch: [5][4130/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5666 (2.6860)	Prec@1 38.000 (35.343)	Prec@5 67.500 (65.892)
Epoch: [5][4140/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7261 (2.6858)	Prec@1 34.500 (35.343)	Prec@5 63.000 (65.895)
Epoch: [5][4150/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7120 (2.6858)	Prec@1 33.500 (35.342)	Prec@5 66.000 (65.893)
Epoch: [5][4160/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.9006 (2.6858)	Prec@1 28.000 (35.341)	Prec@5 59.500 (65.894)
Epoch: [5][4170/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7132 (2.6858)	Prec@1 39.000 (35.340)	Prec@5 64.500 (65.893)
Epoch: [5][4180/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6726 (2.6859)	Prec@1 31.000 (35.340)	Prec@5 68.000 (65.892)
Epoch: [5][4190/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4739 (2.6859)	Prec@1 42.000 (35.341)	Prec@5 69.500 (65.893)
Epoch: [5][4200/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.8300 (2.6858)	Prec@1 32.500 (35.341)	Prec@5 62.000 (65.893)
Epoch: [5][4210/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7412 (2.6858)	Prec@1 33.000 (35.341)	Prec@5 66.000 (65.896)
Epoch: [5][4220/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4866 (2.6859)	Prec@1 36.500 (35.341)	Prec@5 69.000 (65.895)
Epoch: [5][4230/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6613 (2.6858)	Prec@1 36.500 (35.342)	Prec@5 64.500 (65.895)
Epoch: [5][4240/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7892 (2.6859)	Prec@1 33.000 (35.338)	Prec@5 64.500 (65.896)
Epoch: [5][4250/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.8578 (2.6860)	Prec@1 29.500 (35.333)	Prec@5 65.500 (65.894)
Epoch: [5][4260/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5766 (2.6860)	Prec@1 36.000 (35.331)	Prec@5 69.000 (65.893)
Epoch: [5][4270/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.8090 (2.6860)	Prec@1 30.000 (35.332)	Prec@5 62.500 (65.891)
Epoch: [5][4280/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5943 (2.6859)	Prec@1 38.500 (35.335)	Prec@5 63.500 (65.891)
Epoch: [5][4290/9018]	Time 0.698 (0.615)	Data 0.001 (0.001)	Loss 2.7401 (2.6858)	Prec@1 34.000 (35.336)	Prec@5 66.000 (65.890)
Epoch: [5][4300/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7181 (2.6856)	Prec@1 39.500 (35.340)	Prec@5 65.500 (65.894)
Epoch: [5][4310/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8421 (2.6856)	Prec@1 32.500 (35.340)	Prec@5 60.000 (65.894)
Epoch: [5][4320/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7323 (2.6857)	Prec@1 30.000 (35.339)	Prec@5 63.000 (65.892)
Epoch: [5][4330/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5613 (2.6857)	Prec@1 33.500 (35.339)	Prec@5 66.500 (65.890)
Epoch: [5][4340/9018]	Time 0.691 (0.615)	Data 0.001 (0.001)	Loss 2.7708 (2.6858)	Prec@1 37.000 (35.336)	Prec@5 63.000 (65.890)
Epoch: [5][4350/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6953 (2.6857)	Prec@1 32.500 (35.337)	Prec@5 68.000 (65.892)
Epoch: [5][4360/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7367 (2.6856)	Prec@1 36.500 (35.341)	Prec@5 65.000 (65.895)
Epoch: [5][4370/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4577 (2.6857)	Prec@1 39.000 (35.341)	Prec@5 70.500 (65.895)
Epoch: [5][4380/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7827 (2.6857)	Prec@1 32.500 (35.341)	Prec@5 65.000 (65.895)
Epoch: [5][4390/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6463 (2.6856)	Prec@1 33.000 (35.338)	Prec@5 65.500 (65.893)
Epoch: [5][4400/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7964 (2.6856)	Prec@1 36.500 (35.338)	Prec@5 66.000 (65.893)
Epoch: [5][4410/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6532 (2.6858)	Prec@1 37.500 (35.337)	Prec@5 67.000 (65.890)
Epoch: [5][4420/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6601 (2.6858)	Prec@1 37.000 (35.340)	Prec@5 64.000 (65.889)
Epoch: [5][4430/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7737 (2.6859)	Prec@1 36.000 (35.338)	Prec@5 63.500 (65.888)
Epoch: [5][4440/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.9719 (2.6861)	Prec@1 28.000 (35.335)	Prec@5 60.000 (65.883)
Epoch: [5][4450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5576 (2.6860)	Prec@1 36.500 (35.335)	Prec@5 68.000 (65.886)
Epoch: [5][4460/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5568 (2.6859)	Prec@1 40.500 (35.338)	Prec@5 67.500 (65.888)
Epoch: [5][4470/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5138 (2.6859)	Prec@1 36.000 (35.338)	Prec@5 71.000 (65.890)
Epoch: [5][4480/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6607 (2.6860)	Prec@1 39.000 (35.336)	Prec@5 65.500 (65.887)
Epoch: [5][4490/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.9264 (2.6862)	Prec@1 34.000 (35.330)	Prec@5 59.500 (65.883)
Epoch: [5][4500/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5535 (2.6862)	Prec@1 41.000 (35.333)	Prec@5 71.500 (65.886)
Epoch: [5][4510/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6502 (2.6862)	Prec@1 37.500 (35.336)	Prec@5 69.000 (65.888)
Epoch: [5][4520/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7575 (2.6863)	Prec@1 35.000 (35.335)	Prec@5 68.500 (65.887)
Epoch: [5][4530/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.9865 (2.6864)	Prec@1 33.000 (35.333)	Prec@5 58.500 (65.885)
Epoch: [5][4540/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8689 (2.6864)	Prec@1 34.000 (35.332)	Prec@5 67.000 (65.884)
Epoch: [5][4550/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7421 (2.6864)	Prec@1 37.000 (35.334)	Prec@5 67.000 (65.885)
Epoch: [5][4560/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6334 (2.6866)	Prec@1 32.000 (35.329)	Prec@5 69.500 (65.882)
Epoch: [5][4570/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7719 (2.6866)	Prec@1 27.500 (35.327)	Prec@5 65.500 (65.882)
Epoch: [5][4580/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5757 (2.6865)	Prec@1 37.500 (35.328)	Prec@5 71.000 (65.885)
Epoch: [5][4590/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5962 (2.6864)	Prec@1 41.500 (35.331)	Prec@5 69.000 (65.888)
Epoch: [5][4600/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.7871 (2.6863)	Prec@1 33.500 (35.335)	Prec@5 63.000 (65.888)
Epoch: [5][4610/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6249 (2.6863)	Prec@1 35.000 (35.336)	Prec@5 67.500 (65.889)
Epoch: [5][4620/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.5535 (2.6864)	Prec@1 39.000 (35.334)	Prec@5 69.500 (65.885)
Epoch: [5][4630/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6194 (2.6862)	Prec@1 39.000 (35.338)	Prec@5 67.000 (65.888)
Epoch: [5][4640/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7618 (2.6862)	Prec@1 36.000 (35.338)	Prec@5 64.000 (65.889)
Epoch: [5][4650/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6145 (2.6861)	Prec@1 33.000 (35.339)	Prec@5 71.000 (65.893)
Epoch: [5][4660/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8738 (2.6860)	Prec@1 26.000 (35.339)	Prec@5 63.500 (65.893)
Epoch: [5][4670/9018]	Time 0.698 (0.615)	Data 0.001 (0.001)	Loss 2.6312 (2.6861)	Prec@1 33.500 (35.335)	Prec@5 65.500 (65.890)
Epoch: [5][4680/9018]	Time 0.649 (0.615)	Data 0.001 (0.001)	Loss 2.6140 (2.6862)	Prec@1 35.500 (35.330)	Prec@5 69.500 (65.889)
Epoch: [5][4690/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6391 (2.6863)	Prec@1 39.500 (35.330)	Prec@5 66.500 (65.889)
Epoch: [5][4700/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6695 (2.6864)	Prec@1 37.500 (35.329)	Prec@5 66.500 (65.888)
Epoch: [5][4710/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6913 (2.6863)	Prec@1 37.000 (35.329)	Prec@5 65.500 (65.890)
Epoch: [5][4720/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.8512 (2.6863)	Prec@1 27.500 (35.328)	Prec@5 64.500 (65.891)
Epoch: [5][4730/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4976 (2.6863)	Prec@1 38.000 (35.326)	Prec@5 69.000 (65.891)
Epoch: [5][4740/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6579 (2.6861)	Prec@1 36.000 (35.329)	Prec@5 69.000 (65.895)
Epoch: [5][4750/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.8749 (2.6860)	Prec@1 34.500 (35.333)	Prec@5 62.000 (65.897)
Epoch: [5][4760/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8457 (2.6861)	Prec@1 32.000 (35.330)	Prec@5 64.000 (65.893)
Epoch: [5][4770/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6087 (2.6860)	Prec@1 38.500 (35.331)	Prec@5 71.000 (65.897)
Epoch: [5][4780/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7731 (2.6861)	Prec@1 38.500 (35.329)	Prec@5 65.500 (65.895)
Epoch: [5][4790/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7751 (2.6862)	Prec@1 35.000 (35.327)	Prec@5 67.000 (65.896)
Epoch: [5][4800/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.7815 (2.6862)	Prec@1 35.000 (35.327)	Prec@5 65.000 (65.896)
Epoch: [5][4810/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5926 (2.6862)	Prec@1 39.000 (35.326)	Prec@5 65.000 (65.895)
Epoch: [5][4820/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6070 (2.6860)	Prec@1 37.500 (35.330)	Prec@5 67.000 (65.898)
Epoch: [5][4830/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6670 (2.6861)	Prec@1 34.500 (35.330)	Prec@5 65.500 (65.899)
Epoch: [5][4840/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7156 (2.6860)	Prec@1 38.500 (35.330)	Prec@5 62.500 (65.901)
Epoch: [5][4850/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.8011 (2.6862)	Prec@1 32.000 (35.329)	Prec@5 65.000 (65.896)
Epoch: [5][4860/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.8820 (2.6862)	Prec@1 29.000 (35.326)	Prec@5 64.000 (65.896)
Epoch: [5][4870/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8029 (2.6861)	Prec@1 30.000 (35.328)	Prec@5 64.000 (65.899)
Epoch: [5][4880/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7795 (2.6861)	Prec@1 33.000 (35.327)	Prec@5 64.000 (65.898)
Epoch: [5][4890/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7298 (2.6861)	Prec@1 37.500 (35.330)	Prec@5 66.000 (65.902)
Epoch: [5][4900/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5084 (2.6859)	Prec@1 36.500 (35.334)	Prec@5 65.500 (65.905)
Epoch: [5][4910/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6778 (2.6859)	Prec@1 37.000 (35.331)	Prec@5 64.500 (65.902)
Epoch: [5][4920/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8768 (2.6859)	Prec@1 32.500 (35.330)	Prec@5 60.500 (65.900)
Epoch: [5][4930/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5931 (2.6859)	Prec@1 35.500 (35.329)	Prec@5 65.000 (65.900)
Epoch: [5][4940/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6450 (2.6860)	Prec@1 35.000 (35.326)	Prec@5 66.000 (65.898)
Epoch: [5][4950/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.6809 (2.6860)	Prec@1 37.000 (35.326)	Prec@5 68.500 (65.901)
Epoch: [5][4960/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6203 (2.6860)	Prec@1 39.500 (35.326)	Prec@5 65.500 (65.901)
Epoch: [5][4970/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7629 (2.6862)	Prec@1 34.000 (35.325)	Prec@5 67.000 (65.898)
Epoch: [5][4980/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 3.0081 (2.6864)	Prec@1 30.000 (35.322)	Prec@5 61.000 (65.896)
Epoch: [5][4990/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.4152 (2.6864)	Prec@1 38.500 (35.324)	Prec@5 71.000 (65.895)
Epoch: [5][5000/9018]	Time 0.758 (0.615)	Data 0.001 (0.001)	Loss 2.7209 (2.6864)	Prec@1 36.000 (35.323)	Prec@5 62.000 (65.893)
Epoch: [5][5010/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5697 (2.6863)	Prec@1 36.500 (35.326)	Prec@5 67.000 (65.896)
Epoch: [5][5020/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7756 (2.6864)	Prec@1 37.500 (35.326)	Prec@5 63.000 (65.892)
Epoch: [5][5030/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7159 (2.6863)	Prec@1 34.000 (35.330)	Prec@5 66.500 (65.895)
Epoch: [5][5040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6656 (2.6863)	Prec@1 36.500 (35.331)	Prec@5 66.500 (65.893)
Epoch: [5][5050/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8030 (2.6864)	Prec@1 28.500 (35.329)	Prec@5 66.500 (65.892)
Epoch: [5][5060/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.5797 (2.6863)	Prec@1 33.000 (35.331)	Prec@5 70.500 (65.893)
Epoch: [5][5070/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6438 (2.6863)	Prec@1 38.000 (35.330)	Prec@5 66.500 (65.892)
Epoch: [5][5080/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6358 (2.6863)	Prec@1 33.500 (35.329)	Prec@5 63.000 (65.891)
Epoch: [5][5090/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5145 (2.6863)	Prec@1 34.500 (35.330)	Prec@5 75.000 (65.890)
Epoch: [5][5100/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7807 (2.6864)	Prec@1 35.000 (35.325)	Prec@5 68.000 (65.891)
Epoch: [5][5110/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5590 (2.6863)	Prec@1 36.000 (35.329)	Prec@5 69.000 (65.893)
Epoch: [5][5120/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6280 (2.6863)	Prec@1 39.500 (35.332)	Prec@5 66.500 (65.895)
Epoch: [5][5130/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6706 (2.6862)	Prec@1 33.000 (35.332)	Prec@5 67.000 (65.895)
Epoch: [5][5140/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5824 (2.6862)	Prec@1 37.500 (35.331)	Prec@5 65.500 (65.897)
Epoch: [5][5150/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4316 (2.6862)	Prec@1 39.500 (35.330)	Prec@5 69.000 (65.895)
Epoch: [5][5160/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6031 (2.6862)	Prec@1 41.000 (35.333)	Prec@5 67.500 (65.895)
Epoch: [5][5170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6855 (2.6862)	Prec@1 34.000 (35.331)	Prec@5 67.000 (65.896)
Epoch: [5][5180/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7442 (2.6862)	Prec@1 34.500 (35.332)	Prec@5 62.000 (65.896)
Epoch: [5][5190/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.4300 (2.6861)	Prec@1 44.000 (35.335)	Prec@5 72.500 (65.897)
Epoch: [5][5200/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.7299 (2.6861)	Prec@1 33.000 (35.333)	Prec@5 67.500 (65.896)
Epoch: [5][5210/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7959 (2.6861)	Prec@1 34.500 (35.337)	Prec@5 63.000 (65.898)
Epoch: [5][5220/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6681 (2.6860)	Prec@1 40.000 (35.339)	Prec@5 67.000 (65.901)
Epoch: [5][5230/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7324 (2.6860)	Prec@1 36.500 (35.338)	Prec@5 67.000 (65.903)
Epoch: [5][5240/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7153 (2.6859)	Prec@1 32.000 (35.337)	Prec@5 65.000 (65.904)
Epoch: [5][5250/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6558 (2.6858)	Prec@1 34.500 (35.340)	Prec@5 69.000 (65.907)
Epoch: [5][5260/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6013 (2.6860)	Prec@1 38.000 (35.337)	Prec@5 64.500 (65.904)
Epoch: [5][5270/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7807 (2.6860)	Prec@1 35.000 (35.337)	Prec@5 62.500 (65.902)
Epoch: [5][5280/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.5357 (2.6860)	Prec@1 40.000 (35.333)	Prec@5 69.500 (65.901)
Epoch: [5][5290/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8608 (2.6861)	Prec@1 31.000 (35.331)	Prec@5 63.500 (65.899)
Epoch: [5][5300/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7390 (2.6861)	Prec@1 34.000 (35.332)	Prec@5 65.000 (65.900)
Epoch: [5][5310/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6896 (2.6861)	Prec@1 31.000 (35.333)	Prec@5 65.500 (65.901)
Epoch: [5][5320/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6100 (2.6861)	Prec@1 36.500 (35.331)	Prec@5 68.500 (65.901)
Epoch: [5][5330/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.7712 (2.6861)	Prec@1 33.000 (35.331)	Prec@5 62.000 (65.900)
Epoch: [5][5340/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5929 (2.6860)	Prec@1 37.000 (35.332)	Prec@5 68.000 (65.903)
Epoch: [5][5350/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5099 (2.6859)	Prec@1 35.500 (35.335)	Prec@5 65.000 (65.905)
Epoch: [5][5360/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5302 (2.6859)	Prec@1 35.000 (35.335)	Prec@5 69.000 (65.903)
Epoch: [5][5370/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6768 (2.6860)	Prec@1 34.500 (35.335)	Prec@5 64.000 (65.903)
Epoch: [5][5380/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7219 (2.6860)	Prec@1 38.000 (35.335)	Prec@5 66.000 (65.902)
Epoch: [5][5390/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6201 (2.6861)	Prec@1 37.500 (35.333)	Prec@5 65.500 (65.900)
Epoch: [5][5400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7983 (2.6861)	Prec@1 34.500 (35.335)	Prec@5 65.000 (65.900)
Epoch: [5][5410/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6103 (2.6862)	Prec@1 33.500 (35.333)	Prec@5 64.500 (65.898)
Epoch: [5][5420/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.8401 (2.6862)	Prec@1 29.500 (35.333)	Prec@5 65.000 (65.896)
Epoch: [5][5430/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5151 (2.6861)	Prec@1 36.500 (35.333)	Prec@5 71.500 (65.899)
Epoch: [5][5440/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6961 (2.6862)	Prec@1 32.000 (35.332)	Prec@5 67.000 (65.899)
Epoch: [5][5450/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5655 (2.6861)	Prec@1 38.500 (35.332)	Prec@5 66.500 (65.899)
Epoch: [5][5460/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7432 (2.6861)	Prec@1 35.500 (35.331)	Prec@5 67.500 (65.901)
Epoch: [5][5470/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5256 (2.6861)	Prec@1 37.500 (35.332)	Prec@5 71.500 (65.902)
Epoch: [5][5480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4194 (2.6861)	Prec@1 42.000 (35.333)	Prec@5 70.500 (65.903)
Epoch: [5][5490/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6881 (2.6861)	Prec@1 35.500 (35.334)	Prec@5 64.500 (65.902)
Epoch: [5][5500/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6482 (2.6859)	Prec@1 39.000 (35.337)	Prec@5 69.000 (65.905)
Epoch: [5][5510/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7624 (2.6860)	Prec@1 32.000 (35.338)	Prec@5 67.500 (65.902)
Epoch: [5][5520/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7333 (2.6860)	Prec@1 34.500 (35.339)	Prec@5 63.000 (65.901)
Epoch: [5][5530/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7568 (2.6861)	Prec@1 35.500 (35.339)	Prec@5 65.500 (65.900)
Epoch: [5][5540/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7019 (2.6861)	Prec@1 39.000 (35.337)	Prec@5 63.500 (65.898)
Epoch: [5][5550/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8463 (2.6861)	Prec@1 32.000 (35.335)	Prec@5 65.000 (65.900)
Epoch: [5][5560/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6962 (2.6862)	Prec@1 32.000 (35.334)	Prec@5 67.500 (65.897)
Epoch: [5][5570/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6498 (2.6862)	Prec@1 31.000 (35.330)	Prec@5 67.500 (65.895)
Epoch: [5][5580/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7935 (2.6862)	Prec@1 32.500 (35.330)	Prec@5 65.000 (65.897)
Epoch: [5][5590/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.7714 (2.6862)	Prec@1 34.500 (35.329)	Prec@5 62.500 (65.898)
Epoch: [5][5600/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7935 (2.6862)	Prec@1 35.000 (35.328)	Prec@5 62.500 (65.899)
Epoch: [5][5610/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.8305 (2.6861)	Prec@1 36.500 (35.328)	Prec@5 60.000 (65.899)
Epoch: [5][5620/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5209 (2.6861)	Prec@1 36.000 (35.329)	Prec@5 67.500 (65.899)
Epoch: [5][5630/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.9037 (2.6862)	Prec@1 32.000 (35.327)	Prec@5 63.500 (65.898)
Epoch: [5][5640/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7629 (2.6862)	Prec@1 35.500 (35.330)	Prec@5 60.500 (65.899)
Epoch: [5][5650/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4713 (2.6862)	Prec@1 39.500 (35.328)	Prec@5 72.500 (65.899)
Epoch: [5][5660/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.8244 (2.6863)	Prec@1 35.500 (35.326)	Prec@5 65.000 (65.899)
Epoch: [5][5670/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5440 (2.6864)	Prec@1 34.500 (35.324)	Prec@5 68.500 (65.897)
Epoch: [5][5680/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7213 (2.6865)	Prec@1 33.500 (35.322)	Prec@5 63.000 (65.894)
Epoch: [5][5690/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8929 (2.6865)	Prec@1 29.500 (35.323)	Prec@5 62.500 (65.895)
Epoch: [5][5700/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6122 (2.6865)	Prec@1 36.500 (35.324)	Prec@5 65.500 (65.896)
Epoch: [5][5710/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7947 (2.6865)	Prec@1 36.500 (35.324)	Prec@5 63.500 (65.894)
Epoch: [5][5720/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7277 (2.6867)	Prec@1 36.000 (35.320)	Prec@5 62.000 (65.892)
Epoch: [5][5730/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7122 (2.6866)	Prec@1 35.000 (35.319)	Prec@5 64.500 (65.891)
Epoch: [5][5740/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.8262 (2.6867)	Prec@1 32.500 (35.319)	Prec@5 61.000 (65.890)
Epoch: [5][5750/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5288 (2.6866)	Prec@1 37.000 (35.319)	Prec@5 68.500 (65.891)
Epoch: [5][5760/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8338 (2.6866)	Prec@1 35.500 (35.318)	Prec@5 62.500 (65.890)
Epoch: [5][5770/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7283 (2.6866)	Prec@1 33.500 (35.318)	Prec@5 67.000 (65.890)
Epoch: [5][5780/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5904 (2.6865)	Prec@1 38.000 (35.322)	Prec@5 69.500 (65.891)
Epoch: [5][5790/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.9327 (2.6865)	Prec@1 31.000 (35.321)	Prec@5 63.000 (65.893)
Epoch: [5][5800/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6034 (2.6864)	Prec@1 33.500 (35.323)	Prec@5 66.000 (65.898)
Epoch: [5][5810/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5146 (2.6864)	Prec@1 37.500 (35.322)	Prec@5 69.500 (65.899)
Epoch: [5][5820/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6846 (2.6864)	Prec@1 34.000 (35.321)	Prec@5 68.500 (65.899)
Epoch: [5][5830/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 3.0231 (2.6865)	Prec@1 28.500 (35.319)	Prec@5 59.500 (65.895)
Epoch: [5][5840/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5790 (2.6865)	Prec@1 40.000 (35.319)	Prec@5 69.500 (65.895)
Epoch: [5][5850/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7264 (2.6865)	Prec@1 33.000 (35.319)	Prec@5 65.000 (65.895)
Epoch: [5][5860/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8913 (2.6866)	Prec@1 31.000 (35.316)	Prec@5 61.500 (65.893)
Epoch: [5][5870/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.6345 (2.6868)	Prec@1 38.500 (35.312)	Prec@5 66.500 (65.889)
Epoch: [5][5880/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9134 (2.6868)	Prec@1 33.000 (35.312)	Prec@5 58.500 (65.887)
Epoch: [5][5890/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6702 (2.6868)	Prec@1 36.000 (35.312)	Prec@5 66.000 (65.886)
Epoch: [5][5900/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6349 (2.6868)	Prec@1 38.000 (35.312)	Prec@5 65.500 (65.885)
Epoch: [5][5910/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.8078 (2.6868)	Prec@1 34.000 (35.309)	Prec@5 62.500 (65.885)
Epoch: [5][5920/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5712 (2.6869)	Prec@1 35.000 (35.307)	Prec@5 65.500 (65.882)
Epoch: [5][5930/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7205 (2.6870)	Prec@1 38.500 (35.308)	Prec@5 67.500 (65.881)
Epoch: [5][5940/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.5262 (2.6869)	Prec@1 41.500 (35.310)	Prec@5 72.000 (65.882)
Epoch: [5][5950/9018]	Time 0.651 (0.615)	Data 0.001 (0.001)	Loss 2.5041 (2.6869)	Prec@1 40.500 (35.310)	Prec@5 70.500 (65.882)
Epoch: [5][5960/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4046 (2.6869)	Prec@1 39.500 (35.309)	Prec@5 71.500 (65.885)
Epoch: [5][5970/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4609 (2.6868)	Prec@1 45.500 (35.310)	Prec@5 70.500 (65.887)
Epoch: [5][5980/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8371 (2.6867)	Prec@1 34.500 (35.311)	Prec@5 63.500 (65.887)
Epoch: [5][5990/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.7404 (2.6868)	Prec@1 35.500 (35.312)	Prec@5 67.000 (65.886)
Epoch: [5][6000/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6877 (2.6869)	Prec@1 40.500 (35.309)	Prec@5 66.000 (65.885)
Epoch: [5][6010/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5006 (2.6868)	Prec@1 37.000 (35.311)	Prec@5 70.000 (65.887)
Epoch: [5][6020/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.4860 (2.6869)	Prec@1 38.500 (35.310)	Prec@5 68.500 (65.885)
Epoch: [5][6030/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6266 (2.6867)	Prec@1 36.000 (35.312)	Prec@5 67.000 (65.889)
Epoch: [5][6040/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8187 (2.6867)	Prec@1 32.000 (35.310)	Prec@5 66.000 (65.890)
Epoch: [5][6050/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7456 (2.6867)	Prec@1 34.000 (35.312)	Prec@5 66.000 (65.890)
Epoch: [5][6060/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6648 (2.6866)	Prec@1 36.000 (35.315)	Prec@5 67.500 (65.891)
Epoch: [5][6070/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5248 (2.6866)	Prec@1 33.000 (35.314)	Prec@5 68.500 (65.889)
Epoch: [5][6080/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6725 (2.6866)	Prec@1 37.000 (35.315)	Prec@5 64.500 (65.890)
Epoch: [5][6090/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7628 (2.6865)	Prec@1 35.500 (35.318)	Prec@5 67.000 (65.892)
Epoch: [5][6100/9018]	Time 0.643 (0.615)	Data 0.001 (0.001)	Loss 2.6870 (2.6865)	Prec@1 35.500 (35.317)	Prec@5 65.500 (65.891)
Epoch: [5][6110/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5848 (2.6865)	Prec@1 37.000 (35.316)	Prec@5 68.000 (65.891)
Epoch: [5][6120/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.8972 (2.6865)	Prec@1 31.000 (35.316)	Prec@5 64.000 (65.892)
Epoch: [5][6130/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4739 (2.6866)	Prec@1 33.500 (35.313)	Prec@5 70.000 (65.890)
Epoch: [5][6140/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6386 (2.6865)	Prec@1 36.500 (35.312)	Prec@5 66.000 (65.891)
Epoch: [5][6150/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7920 (2.6865)	Prec@1 35.000 (35.314)	Prec@5 65.500 (65.891)
Epoch: [5][6160/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6994 (2.6865)	Prec@1 36.000 (35.314)	Prec@5 64.500 (65.892)
Epoch: [5][6170/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6682 (2.6864)	Prec@1 35.000 (35.314)	Prec@5 71.000 (65.894)
Epoch: [5][6180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6566 (2.6864)	Prec@1 37.500 (35.314)	Prec@5 68.000 (65.893)
Epoch: [5][6190/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6242 (2.6863)	Prec@1 37.000 (35.315)	Prec@5 69.500 (65.897)
Epoch: [5][6200/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4961 (2.6863)	Prec@1 38.500 (35.315)	Prec@5 69.000 (65.896)
Epoch: [5][6210/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6819 (2.6863)	Prec@1 34.500 (35.314)	Prec@5 68.000 (65.896)
Epoch: [5][6220/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6268 (2.6862)	Prec@1 40.000 (35.317)	Prec@5 68.500 (65.898)
Epoch: [5][6230/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6149 (2.6862)	Prec@1 34.000 (35.316)	Prec@5 64.000 (65.899)
Epoch: [5][6240/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6402 (2.6861)	Prec@1 39.500 (35.317)	Prec@5 64.500 (65.899)
Epoch: [5][6250/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6624 (2.6862)	Prec@1 32.500 (35.315)	Prec@5 66.000 (65.899)
Epoch: [5][6260/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5743 (2.6862)	Prec@1 37.000 (35.313)	Prec@5 67.000 (65.900)
Epoch: [5][6270/9018]	Time 0.763 (0.615)	Data 0.001 (0.001)	Loss 2.9684 (2.6863)	Prec@1 27.000 (35.312)	Prec@5 58.000 (65.898)
Epoch: [5][6280/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.9066 (2.6863)	Prec@1 30.500 (35.311)	Prec@5 60.000 (65.899)
Epoch: [5][6290/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6717 (2.6862)	Prec@1 37.500 (35.312)	Prec@5 67.500 (65.900)
Epoch: [5][6300/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6187 (2.6862)	Prec@1 36.500 (35.312)	Prec@5 66.500 (65.896)
Epoch: [5][6310/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5627 (2.6862)	Prec@1 37.000 (35.313)	Prec@5 69.000 (65.896)
Epoch: [5][6320/9018]	Time 0.765 (0.615)	Data 0.001 (0.001)	Loss 2.7167 (2.6863)	Prec@1 34.500 (35.312)	Prec@5 66.000 (65.894)
Epoch: [5][6330/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5828 (2.6863)	Prec@1 34.000 (35.311)	Prec@5 65.000 (65.895)
Epoch: [5][6340/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6743 (2.6863)	Prec@1 38.500 (35.313)	Prec@5 65.500 (65.895)
Epoch: [5][6350/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6475 (2.6863)	Prec@1 35.500 (35.313)	Prec@5 67.500 (65.895)
Epoch: [5][6360/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3488 (2.6863)	Prec@1 42.000 (35.313)	Prec@5 74.000 (65.895)
Epoch: [5][6370/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.9321 (2.6863)	Prec@1 35.500 (35.314)	Prec@5 61.500 (65.895)
Epoch: [5][6380/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4839 (2.6863)	Prec@1 39.000 (35.314)	Prec@5 69.000 (65.896)
Epoch: [5][6390/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6761 (2.6862)	Prec@1 36.000 (35.315)	Prec@5 65.500 (65.896)
Epoch: [5][6400/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6850 (2.6861)	Prec@1 37.500 (35.317)	Prec@5 67.500 (65.899)
Epoch: [5][6410/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5214 (2.6860)	Prec@1 38.000 (35.318)	Prec@5 70.000 (65.902)
Epoch: [5][6420/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6255 (2.6860)	Prec@1 39.500 (35.317)	Prec@5 68.000 (65.901)
Epoch: [5][6430/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5006 (2.6860)	Prec@1 39.500 (35.317)	Prec@5 71.500 (65.902)
Epoch: [5][6440/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5869 (2.6860)	Prec@1 36.000 (35.317)	Prec@5 65.000 (65.901)
Epoch: [5][6450/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6496 (2.6860)	Prec@1 39.500 (35.316)	Prec@5 68.000 (65.901)
Epoch: [5][6460/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7923 (2.6860)	Prec@1 32.000 (35.319)	Prec@5 65.000 (65.902)
Epoch: [5][6470/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5763 (2.6859)	Prec@1 39.000 (35.322)	Prec@5 69.000 (65.904)
Epoch: [5][6480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6897 (2.6859)	Prec@1 31.000 (35.321)	Prec@5 67.500 (65.905)
Epoch: [5][6490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6227 (2.6858)	Prec@1 37.000 (35.322)	Prec@5 67.500 (65.905)
Epoch: [5][6500/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6873 (2.6858)	Prec@1 38.500 (35.319)	Prec@5 66.500 (65.905)
Epoch: [5][6510/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6779 (2.6857)	Prec@1 35.500 (35.322)	Prec@5 67.500 (65.908)
Epoch: [5][6520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6408 (2.6857)	Prec@1 35.500 (35.322)	Prec@5 68.000 (65.908)
Epoch: [5][6530/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6651 (2.6857)	Prec@1 42.000 (35.322)	Prec@5 70.000 (65.908)
Epoch: [5][6540/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5462 (2.6857)	Prec@1 38.000 (35.322)	Prec@5 70.500 (65.910)
Epoch: [5][6550/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 3.0822 (2.6856)	Prec@1 30.500 (35.323)	Prec@5 59.500 (65.909)
Epoch: [5][6560/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5768 (2.6855)	Prec@1 36.000 (35.325)	Prec@5 68.000 (65.911)
Epoch: [5][6570/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.9735 (2.6855)	Prec@1 29.500 (35.326)	Prec@5 60.500 (65.912)
Epoch: [5][6580/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.8739 (2.6856)	Prec@1 33.000 (35.323)	Prec@5 61.000 (65.911)
Epoch: [5][6590/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3879 (2.6855)	Prec@1 44.000 (35.326)	Prec@5 73.000 (65.913)
Epoch: [5][6600/9018]	Time 0.769 (0.615)	Data 0.001 (0.001)	Loss 2.5952 (2.6855)	Prec@1 40.500 (35.327)	Prec@5 64.000 (65.914)
Epoch: [5][6610/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5292 (2.6855)	Prec@1 38.000 (35.328)	Prec@5 63.500 (65.912)
Epoch: [5][6620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6548 (2.6855)	Prec@1 36.000 (35.329)	Prec@5 66.000 (65.911)
Epoch: [5][6630/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4672 (2.6855)	Prec@1 42.000 (35.329)	Prec@5 70.500 (65.912)
Epoch: [5][6640/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6200 (2.6855)	Prec@1 37.500 (35.329)	Prec@5 68.500 (65.911)
Epoch: [5][6650/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.7670 (2.6856)	Prec@1 28.500 (35.327)	Prec@5 68.000 (65.909)
Epoch: [5][6660/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8784 (2.6856)	Prec@1 36.000 (35.326)	Prec@5 61.000 (65.911)
Epoch: [5][6670/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6836 (2.6857)	Prec@1 37.500 (35.326)	Prec@5 64.500 (65.907)
Epoch: [5][6680/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7646 (2.6857)	Prec@1 33.500 (35.326)	Prec@5 64.000 (65.907)
Epoch: [5][6690/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7360 (2.6856)	Prec@1 37.000 (35.328)	Prec@5 64.500 (65.907)
Epoch: [5][6700/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5464 (2.6856)	Prec@1 40.000 (35.328)	Prec@5 67.000 (65.909)
Epoch: [5][6710/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7647 (2.6856)	Prec@1 40.000 (35.329)	Prec@5 63.000 (65.908)
Epoch: [5][6720/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5655 (2.6855)	Prec@1 34.500 (35.329)	Prec@5 68.500 (65.910)
Epoch: [5][6730/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.7255 (2.6855)	Prec@1 35.500 (35.331)	Prec@5 66.000 (65.911)
Epoch: [5][6740/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9133 (2.6856)	Prec@1 31.500 (35.329)	Prec@5 61.500 (65.911)
Epoch: [5][6750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7547 (2.6856)	Prec@1 33.000 (35.328)	Prec@5 65.500 (65.909)
Epoch: [5][6760/9018]	Time 0.647 (0.615)	Data 0.001 (0.001)	Loss 2.7089 (2.6856)	Prec@1 31.500 (35.329)	Prec@5 63.000 (65.910)
Epoch: [5][6770/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6438 (2.6856)	Prec@1 36.000 (35.329)	Prec@5 67.500 (65.909)
Epoch: [5][6780/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8172 (2.6857)	Prec@1 41.000 (35.329)	Prec@5 63.500 (65.908)
Epoch: [5][6790/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6801 (2.6856)	Prec@1 36.000 (35.329)	Prec@5 64.500 (65.908)
Epoch: [5][6800/9018]	Time 0.629 (0.615)	Data 0.002 (0.001)	Loss 2.3770 (2.6855)	Prec@1 38.500 (35.329)	Prec@5 69.500 (65.910)
Epoch: [5][6810/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4638 (2.6855)	Prec@1 40.000 (35.328)	Prec@5 68.500 (65.909)
Epoch: [5][6820/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.9408 (2.6857)	Prec@1 30.500 (35.325)	Prec@5 61.500 (65.908)
Epoch: [5][6830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4842 (2.6856)	Prec@1 39.000 (35.324)	Prec@5 69.500 (65.908)
Epoch: [5][6840/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8694 (2.6857)	Prec@1 34.500 (35.325)	Prec@5 64.500 (65.908)
Epoch: [5][6850/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5787 (2.6857)	Prec@1 37.500 (35.326)	Prec@5 67.500 (65.910)
Epoch: [5][6860/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7599 (2.6858)	Prec@1 38.000 (35.326)	Prec@5 63.000 (65.908)
Epoch: [5][6870/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7531 (2.6857)	Prec@1 40.000 (35.329)	Prec@5 61.500 (65.909)
Epoch: [5][6880/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5395 (2.6857)	Prec@1 36.500 (35.328)	Prec@5 69.000 (65.910)
Epoch: [5][6890/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6497 (2.6855)	Prec@1 36.500 (35.330)	Prec@5 67.000 (65.914)
Epoch: [5][6900/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4822 (2.6854)	Prec@1 38.500 (35.333)	Prec@5 68.500 (65.915)
Epoch: [5][6910/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7916 (2.6854)	Prec@1 33.500 (35.333)	Prec@5 65.000 (65.914)
Epoch: [5][6920/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6988 (2.6853)	Prec@1 34.000 (35.334)	Prec@5 66.000 (65.916)
Epoch: [5][6930/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.7018 (2.6852)	Prec@1 36.000 (35.336)	Prec@5 62.500 (65.918)
Epoch: [5][6940/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7057 (2.6853)	Prec@1 36.000 (35.336)	Prec@5 65.500 (65.917)
Epoch: [5][6950/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7763 (2.6852)	Prec@1 33.000 (35.337)	Prec@5 64.000 (65.919)
Epoch: [5][6960/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.8284 (2.6852)	Prec@1 34.500 (35.337)	Prec@5 63.000 (65.919)
Epoch: [5][6970/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7565 (2.6851)	Prec@1 36.500 (35.337)	Prec@5 62.500 (65.919)
Epoch: [5][6980/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.6049 (2.6851)	Prec@1 38.000 (35.339)	Prec@5 69.000 (65.918)
Epoch: [5][6990/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6362 (2.6851)	Prec@1 38.000 (35.337)	Prec@5 64.000 (65.917)
Epoch: [5][7000/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6173 (2.6851)	Prec@1 36.500 (35.340)	Prec@5 67.000 (65.919)
Epoch: [5][7010/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6258 (2.6850)	Prec@1 39.500 (35.344)	Prec@5 69.500 (65.920)
Epoch: [5][7020/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.5371 (2.6849)	Prec@1 37.000 (35.347)	Prec@5 69.000 (65.921)
Epoch: [5][7030/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9679 (2.6849)	Prec@1 31.000 (35.348)	Prec@5 65.000 (65.922)
Epoch: [5][7040/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6070 (2.6848)	Prec@1 35.500 (35.346)	Prec@5 66.500 (65.922)
Epoch: [5][7050/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7935 (2.6848)	Prec@1 37.000 (35.345)	Prec@5 64.000 (65.922)
Epoch: [5][7060/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5683 (2.6848)	Prec@1 40.000 (35.346)	Prec@5 64.000 (65.923)
Epoch: [5][7070/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.9678 (2.6848)	Prec@1 24.500 (35.344)	Prec@5 62.000 (65.921)
Epoch: [5][7080/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7625 (2.6849)	Prec@1 34.500 (35.345)	Prec@5 61.500 (65.920)
Epoch: [5][7090/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6584 (2.6849)	Prec@1 33.500 (35.343)	Prec@5 68.000 (65.917)
Epoch: [5][7100/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6660 (2.6849)	Prec@1 34.500 (35.342)	Prec@5 63.000 (65.919)
Epoch: [5][7110/9018]	Time 0.649 (0.615)	Data 0.001 (0.001)	Loss 2.4926 (2.6848)	Prec@1 41.500 (35.342)	Prec@5 69.000 (65.919)
Epoch: [5][7120/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3681 (2.6847)	Prec@1 39.000 (35.344)	Prec@5 71.000 (65.922)
Epoch: [5][7130/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7458 (2.6846)	Prec@1 32.500 (35.346)	Prec@5 60.000 (65.922)
Epoch: [5][7140/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5679 (2.6846)	Prec@1 37.500 (35.345)	Prec@5 69.500 (65.922)
Epoch: [5][7150/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8915 (2.6846)	Prec@1 32.500 (35.346)	Prec@5 66.500 (65.924)
Epoch: [5][7160/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7459 (2.6846)	Prec@1 31.500 (35.345)	Prec@5 63.000 (65.923)
Epoch: [5][7170/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6932 (2.6847)	Prec@1 39.500 (35.341)	Prec@5 64.500 (65.920)
Epoch: [5][7180/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.9744 (2.6847)	Prec@1 27.500 (35.339)	Prec@5 57.000 (65.918)
Epoch: [5][7190/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5507 (2.6847)	Prec@1 39.500 (35.340)	Prec@5 69.500 (65.919)
Epoch: [5][7200/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5655 (2.6846)	Prec@1 37.000 (35.341)	Prec@5 71.000 (65.922)
Epoch: [5][7210/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4902 (2.6846)	Prec@1 36.000 (35.340)	Prec@5 67.000 (65.923)
Epoch: [5][7220/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6275 (2.6845)	Prec@1 40.000 (35.344)	Prec@5 67.500 (65.923)
Epoch: [5][7230/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9606 (2.6845)	Prec@1 29.500 (35.347)	Prec@5 58.500 (65.926)
Epoch: [5][7240/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7984 (2.6844)	Prec@1 33.500 (35.347)	Prec@5 66.000 (65.928)
Epoch: [5][7250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8310 (2.6845)	Prec@1 32.500 (35.345)	Prec@5 63.000 (65.928)
Epoch: [5][7260/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.6723 (2.6844)	Prec@1 41.500 (35.345)	Prec@5 63.500 (65.927)
Epoch: [5][7270/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.8156 (2.6844)	Prec@1 33.000 (35.344)	Prec@5 60.500 (65.927)
Epoch: [5][7280/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4860 (2.6844)	Prec@1 37.500 (35.344)	Prec@5 67.500 (65.927)
Epoch: [5][7290/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6787 (2.6843)	Prec@1 41.000 (35.344)	Prec@5 68.000 (65.927)
Epoch: [5][7300/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7105 (2.6843)	Prec@1 35.500 (35.345)	Prec@5 65.000 (65.928)
Epoch: [5][7310/9018]	Time 0.756 (0.615)	Data 0.001 (0.001)	Loss 2.7239 (2.6844)	Prec@1 34.500 (35.342)	Prec@5 64.000 (65.926)
Epoch: [5][7320/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5892 (2.6844)	Prec@1 40.000 (35.345)	Prec@5 64.500 (65.927)
Epoch: [5][7330/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6117 (2.6843)	Prec@1 36.500 (35.346)	Prec@5 66.500 (65.925)
Epoch: [5][7340/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6323 (2.6843)	Prec@1 32.000 (35.345)	Prec@5 70.000 (65.927)
Epoch: [5][7350/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7300 (2.6843)	Prec@1 38.000 (35.344)	Prec@5 61.500 (65.926)
Epoch: [5][7360/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6502 (2.6843)	Prec@1 35.500 (35.345)	Prec@5 62.500 (65.927)
Epoch: [5][7370/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7539 (2.6842)	Prec@1 33.000 (35.348)	Prec@5 66.000 (65.930)
Epoch: [5][7380/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7222 (2.6841)	Prec@1 35.500 (35.350)	Prec@5 66.500 (65.932)
Epoch: [5][7390/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4598 (2.6841)	Prec@1 41.500 (35.352)	Prec@5 68.500 (65.933)
Epoch: [5][7400/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8020 (2.6841)	Prec@1 32.000 (35.350)	Prec@5 67.500 (65.933)
Epoch: [5][7410/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.4101 (2.6840)	Prec@1 36.500 (35.352)	Prec@5 73.500 (65.935)
Epoch: [5][7420/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7584 (2.6839)	Prec@1 28.500 (35.354)	Prec@5 66.500 (65.935)
Epoch: [5][7430/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7389 (2.6839)	Prec@1 36.000 (35.353)	Prec@5 66.500 (65.936)
Epoch: [5][7440/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6785 (2.6839)	Prec@1 32.500 (35.351)	Prec@5 66.500 (65.936)
Epoch: [5][7450/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.8076 (2.6839)	Prec@1 32.000 (35.350)	Prec@5 62.000 (65.933)
Epoch: [5][7460/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7486 (2.6840)	Prec@1 29.500 (35.349)	Prec@5 64.000 (65.931)
Epoch: [5][7470/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5095 (2.6840)	Prec@1 38.000 (35.350)	Prec@5 67.000 (65.929)
Epoch: [5][7480/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5903 (2.6840)	Prec@1 39.000 (35.352)	Prec@5 65.500 (65.929)
Epoch: [5][7490/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7255 (2.6840)	Prec@1 32.500 (35.353)	Prec@5 62.500 (65.929)
Epoch: [5][7500/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7866 (2.6840)	Prec@1 38.500 (35.354)	Prec@5 59.000 (65.927)
Epoch: [5][7510/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6887 (2.6840)	Prec@1 34.500 (35.354)	Prec@5 67.500 (65.929)
Epoch: [5][7520/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5344 (2.6840)	Prec@1 38.000 (35.354)	Prec@5 68.500 (65.929)
Epoch: [5][7530/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5421 (2.6840)	Prec@1 36.500 (35.354)	Prec@5 71.500 (65.932)
Epoch: [5][7540/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5104 (2.6840)	Prec@1 41.500 (35.356)	Prec@5 67.000 (65.934)
Epoch: [5][7550/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7886 (2.6838)	Prec@1 32.000 (35.359)	Prec@5 65.000 (65.937)
Epoch: [5][7560/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.8429 (2.6838)	Prec@1 30.000 (35.360)	Prec@5 66.500 (65.939)
Epoch: [5][7570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6934 (2.6837)	Prec@1 33.000 (35.360)	Prec@5 66.000 (65.941)
Epoch: [5][7580/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7063 (2.6836)	Prec@1 34.000 (35.361)	Prec@5 65.500 (65.943)
Epoch: [5][7590/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.6889 (2.6835)	Prec@1 35.000 (35.365)	Prec@5 64.000 (65.942)
Epoch: [5][7600/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5825 (2.6835)	Prec@1 37.000 (35.367)	Prec@5 69.500 (65.945)
Epoch: [5][7610/9018]	Time 0.597 (0.615)	Data 0.002 (0.001)	Loss 2.6774 (2.6835)	Prec@1 38.000 (35.367)	Prec@5 66.000 (65.944)
Epoch: [5][7620/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.7876 (2.6835)	Prec@1 33.000 (35.366)	Prec@5 64.500 (65.944)
Epoch: [5][7630/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7172 (2.6835)	Prec@1 37.000 (35.365)	Prec@5 64.500 (65.945)
Epoch: [5][7640/9018]	Time 0.732 (0.614)	Data 0.001 (0.001)	Loss 2.7376 (2.6835)	Prec@1 36.000 (35.366)	Prec@5 66.000 (65.945)
Epoch: [5][7650/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6531 (2.6834)	Prec@1 32.000 (35.367)	Prec@5 67.500 (65.946)
Epoch: [5][7660/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.6801 (2.6834)	Prec@1 37.000 (35.371)	Prec@5 61.500 (65.945)
Epoch: [5][7670/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.4742 (2.6833)	Prec@1 45.500 (35.376)	Prec@5 69.000 (65.947)
Epoch: [5][7680/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.4953 (2.6832)	Prec@1 39.500 (35.376)	Prec@5 68.000 (65.949)
Epoch: [5][7690/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.7625 (2.6832)	Prec@1 37.500 (35.377)	Prec@5 63.000 (65.949)
Epoch: [5][7700/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.8804 (2.6831)	Prec@1 29.500 (35.377)	Prec@5 59.500 (65.950)
Epoch: [5][7710/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.5671 (2.6831)	Prec@1 37.500 (35.378)	Prec@5 72.000 (65.952)
Epoch: [5][7720/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.6820 (2.6831)	Prec@1 38.000 (35.377)	Prec@5 64.500 (65.953)
Epoch: [5][7730/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.6396 (2.6831)	Prec@1 40.500 (35.377)	Prec@5 67.000 (65.952)
Epoch: [5][7740/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.5643 (2.6830)	Prec@1 36.000 (35.380)	Prec@5 71.500 (65.955)
Epoch: [5][7750/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.6432 (2.6829)	Prec@1 38.000 (35.383)	Prec@5 66.500 (65.959)
Epoch: [5][7760/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.3945 (2.6828)	Prec@1 42.500 (35.383)	Prec@5 72.500 (65.960)
Epoch: [5][7770/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.5895 (2.6828)	Prec@1 33.500 (35.383)	Prec@5 65.500 (65.960)
Epoch: [5][7780/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.5273 (2.6827)	Prec@1 38.000 (35.382)	Prec@5 67.500 (65.961)
Epoch: [5][7790/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.7461 (2.6827)	Prec@1 39.000 (35.381)	Prec@5 65.500 (65.962)
Epoch: [5][7800/9018]	Time 0.589 (0.614)	Data 0.001 (0.001)	Loss 2.4739 (2.6827)	Prec@1 37.000 (35.381)	Prec@5 71.000 (65.962)
Epoch: [5][7810/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.7420 (2.6826)	Prec@1 34.000 (35.382)	Prec@5 64.000 (65.964)
Epoch: [5][7820/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.7356 (2.6826)	Prec@1 32.000 (35.383)	Prec@5 67.000 (65.966)
Epoch: [5][7830/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.7129 (2.6827)	Prec@1 35.500 (35.380)	Prec@5 63.000 (65.966)
Epoch: [5][7840/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.5086 (2.6826)	Prec@1 31.500 (35.380)	Prec@5 68.500 (65.967)
Epoch: [5][7850/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.7355 (2.6826)	Prec@1 36.500 (35.379)	Prec@5 62.500 (65.968)
Epoch: [5][7860/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.7107 (2.6826)	Prec@1 35.500 (35.381)	Prec@5 69.000 (65.969)
Epoch: [5][7870/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.7639 (2.6824)	Prec@1 31.500 (35.385)	Prec@5 63.000 (65.971)
Epoch: [5][7880/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.7214 (2.6824)	Prec@1 37.000 (35.384)	Prec@5 65.000 (65.970)
Epoch: [5][7890/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.8618 (2.6824)	Prec@1 34.000 (35.385)	Prec@5 64.000 (65.969)
Epoch: [5][7900/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.9195 (2.6824)	Prec@1 26.500 (35.385)	Prec@5 61.500 (65.970)
Epoch: [5][7910/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.7606 (2.6824)	Prec@1 35.000 (35.386)	Prec@5 65.500 (65.971)
Epoch: [5][7920/9018]	Time 0.728 (0.614)	Data 0.001 (0.001)	Loss 2.7007 (2.6823)	Prec@1 33.500 (35.387)	Prec@5 66.500 (65.971)
Epoch: [5][7930/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.6097 (2.6823)	Prec@1 38.500 (35.385)	Prec@5 68.000 (65.971)
Epoch: [5][7940/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.6425 (2.6823)	Prec@1 36.500 (35.386)	Prec@5 69.500 (65.971)
Epoch: [5][7950/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.6837 (2.6824)	Prec@1 33.000 (35.385)	Prec@5 64.000 (65.970)
Epoch: [5][7960/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6465 (2.6824)	Prec@1 35.000 (35.384)	Prec@5 65.000 (65.969)
Epoch: [5][7970/9018]	Time 0.739 (0.614)	Data 0.001 (0.001)	Loss 2.8051 (2.6824)	Prec@1 35.500 (35.385)	Prec@5 67.500 (65.969)
Epoch: [5][7980/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.5887 (2.6823)	Prec@1 39.500 (35.385)	Prec@5 69.000 (65.969)
Epoch: [5][7990/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.3969 (2.6823)	Prec@1 43.500 (35.384)	Prec@5 67.500 (65.968)
Epoch: [5][8000/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.9187 (2.6823)	Prec@1 33.000 (35.385)	Prec@5 58.500 (65.970)
Epoch: [5][8010/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.6035 (2.6822)	Prec@1 38.500 (35.386)	Prec@5 68.500 (65.970)
Epoch: [5][8020/9018]	Time 0.589 (0.614)	Data 0.001 (0.001)	Loss 2.5803 (2.6821)	Prec@1 32.000 (35.385)	Prec@5 70.500 (65.974)
Epoch: [5][8030/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.5721 (2.6821)	Prec@1 39.500 (35.386)	Prec@5 66.000 (65.974)
Epoch: [5][8040/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.8072 (2.6822)	Prec@1 34.000 (35.385)	Prec@5 62.000 (65.973)
Epoch: [5][8050/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.6000 (2.6821)	Prec@1 39.000 (35.387)	Prec@5 66.500 (65.976)
Epoch: [5][8060/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6702 (2.6820)	Prec@1 33.000 (35.387)	Prec@5 64.500 (65.976)
Epoch: [5][8070/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.5642 (2.6821)	Prec@1 35.500 (35.386)	Prec@5 69.500 (65.975)
Epoch: [5][8080/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.8769 (2.6821)	Prec@1 34.500 (35.387)	Prec@5 61.500 (65.975)
Epoch: [5][8090/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.6890 (2.6821)	Prec@1 36.000 (35.388)	Prec@5 65.500 (65.973)
Epoch: [5][8100/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.6113 (2.6821)	Prec@1 37.500 (35.388)	Prec@5 68.500 (65.973)
Epoch: [5][8110/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.6632 (2.6822)	Prec@1 38.000 (35.387)	Prec@5 64.500 (65.971)
Epoch: [5][8120/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.4877 (2.6821)	Prec@1 33.500 (35.388)	Prec@5 70.000 (65.971)
Epoch: [5][8130/9018]	Time 0.594 (0.614)	Data 0.002 (0.001)	Loss 3.2183 (2.6823)	Prec@1 26.000 (35.386)	Prec@5 54.500 (65.969)
Epoch: [5][8140/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.8213 (2.6822)	Prec@1 35.000 (35.387)	Prec@5 64.500 (65.971)
Epoch: [5][8150/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.6617 (2.6822)	Prec@1 34.500 (35.387)	Prec@5 65.500 (65.970)
Epoch: [5][8160/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.9225 (2.6822)	Prec@1 31.000 (35.388)	Prec@5 63.500 (65.971)
Epoch: [5][8170/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.7511 (2.6821)	Prec@1 38.000 (35.391)	Prec@5 68.500 (65.973)
Epoch: [5][8180/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.8185 (2.6821)	Prec@1 31.000 (35.391)	Prec@5 62.000 (65.972)
Epoch: [5][8190/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.7535 (2.6821)	Prec@1 33.500 (35.393)	Prec@5 65.500 (65.971)
Epoch: [5][8200/9018]	Time 0.588 (0.614)	Data 0.001 (0.001)	Loss 2.6244 (2.6820)	Prec@1 36.000 (35.393)	Prec@5 66.000 (65.972)
Epoch: [5][8210/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.8376 (2.6821)	Prec@1 34.000 (35.391)	Prec@5 61.000 (65.972)
Epoch: [5][8220/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.7669 (2.6820)	Prec@1 33.500 (35.392)	Prec@5 63.500 (65.973)
Epoch: [5][8230/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.7791 (2.6820)	Prec@1 36.000 (35.395)	Prec@5 69.500 (65.975)
Epoch: [5][8240/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6271 (2.6819)	Prec@1 36.000 (35.396)	Prec@5 68.500 (65.976)
Epoch: [5][8250/9018]	Time 0.745 (0.614)	Data 0.001 (0.001)	Loss 2.3482 (2.6819)	Prec@1 38.000 (35.395)	Prec@5 72.500 (65.976)
Epoch: [5][8260/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.4553 (2.6819)	Prec@1 41.500 (35.395)	Prec@5 70.500 (65.976)
Epoch: [5][8270/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.5029 (2.6819)	Prec@1 37.500 (35.395)	Prec@5 69.500 (65.976)
Epoch: [5][8280/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.5724 (2.6819)	Prec@1 35.000 (35.396)	Prec@5 68.000 (65.978)
Epoch: [5][8290/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.8337 (2.6819)	Prec@1 32.000 (35.398)	Prec@5 64.500 (65.979)
Epoch: [5][8300/9018]	Time 0.714 (0.614)	Data 0.001 (0.001)	Loss 2.5614 (2.6818)	Prec@1 34.000 (35.400)	Prec@5 68.500 (65.981)
Epoch: [5][8310/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.6296 (2.6818)	Prec@1 35.500 (35.398)	Prec@5 69.500 (65.982)
Epoch: [5][8320/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.6761 (2.6818)	Prec@1 35.500 (35.400)	Prec@5 63.500 (65.980)
Epoch: [5][8330/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.7479 (2.6818)	Prec@1 34.500 (35.400)	Prec@5 62.000 (65.979)
Epoch: [5][8340/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.5815 (2.6817)	Prec@1 38.000 (35.401)	Prec@5 67.500 (65.979)
Epoch: [5][8350/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.6834 (2.6817)	Prec@1 36.500 (35.404)	Prec@5 64.500 (65.980)
Epoch: [5][8360/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.5528 (2.6816)	Prec@1 39.500 (35.405)	Prec@5 68.000 (65.983)
Epoch: [5][8370/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.3642 (2.6816)	Prec@1 39.000 (35.404)	Prec@5 72.000 (65.983)
Epoch: [5][8380/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.5983 (2.6815)	Prec@1 38.000 (35.405)	Prec@5 69.000 (65.984)
Epoch: [5][8390/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 3.0976 (2.6816)	Prec@1 25.000 (35.403)	Prec@5 55.500 (65.985)
Epoch: [5][8400/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.8199 (2.6816)	Prec@1 33.500 (35.401)	Prec@5 60.500 (65.983)
Epoch: [5][8410/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.3305 (2.6817)	Prec@1 45.500 (35.400)	Prec@5 73.500 (65.981)
Epoch: [5][8420/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.8806 (2.6817)	Prec@1 33.000 (35.399)	Prec@5 62.500 (65.981)
Epoch: [5][8430/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.8475 (2.6818)	Prec@1 34.500 (35.399)	Prec@5 60.000 (65.978)
Epoch: [5][8440/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.7798 (2.6818)	Prec@1 33.500 (35.399)	Prec@5 60.000 (65.977)
Epoch: [5][8450/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.6975 (2.6818)	Prec@1 34.000 (35.399)	Prec@5 67.000 (65.978)
Epoch: [5][8460/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.8144 (2.6818)	Prec@1 35.000 (35.400)	Prec@5 66.000 (65.978)
Epoch: [5][8470/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6483 (2.6818)	Prec@1 34.000 (35.398)	Prec@5 72.000 (65.978)
Epoch: [5][8480/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.6450 (2.6818)	Prec@1 39.000 (35.398)	Prec@5 67.000 (65.979)
Epoch: [5][8490/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.6682 (2.6818)	Prec@1 38.000 (35.400)	Prec@5 70.500 (65.979)
Epoch: [5][8500/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.8381 (2.6818)	Prec@1 34.500 (35.402)	Prec@5 61.500 (65.980)
Epoch: [5][8510/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.8337 (2.6819)	Prec@1 35.000 (35.402)	Prec@5 65.000 (65.978)
Epoch: [5][8520/9018]	Time 0.590 (0.613)	Data 0.001 (0.001)	Loss 2.5067 (2.6818)	Prec@1 41.500 (35.406)	Prec@5 68.500 (65.981)
Epoch: [5][8530/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.6866 (2.6818)	Prec@1 30.500 (35.404)	Prec@5 65.000 (65.980)
Epoch: [5][8540/9018]	Time 0.589 (0.613)	Data 0.001 (0.001)	Loss 2.7008 (2.6817)	Prec@1 39.500 (35.404)	Prec@5 67.000 (65.982)
Epoch: [5][8550/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.6588 (2.6818)	Prec@1 36.500 (35.402)	Prec@5 67.500 (65.980)
Epoch: [5][8560/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.6238 (2.6819)	Prec@1 39.000 (35.401)	Prec@5 67.500 (65.979)
Epoch: [5][8570/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.5846 (2.6819)	Prec@1 37.500 (35.401)	Prec@5 70.000 (65.980)
Epoch: [5][8580/9018]	Time 0.716 (0.613)	Data 0.001 (0.001)	Loss 2.5834 (2.6819)	Prec@1 42.000 (35.402)	Prec@5 69.500 (65.980)
Epoch: [5][8590/9018]	Time 0.591 (0.613)	Data 0.001 (0.001)	Loss 2.5070 (2.6818)	Prec@1 38.000 (35.404)	Prec@5 70.500 (65.982)
Epoch: [5][8600/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.4481 (2.6818)	Prec@1 38.000 (35.403)	Prec@5 71.500 (65.980)
Epoch: [5][8610/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.6337 (2.6818)	Prec@1 37.500 (35.403)	Prec@5 64.000 (65.980)
Epoch: [5][8620/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.9686 (2.6818)	Prec@1 30.000 (35.405)	Prec@5 60.500 (65.980)
Epoch: [5][8630/9018]	Time 0.724 (0.613)	Data 0.001 (0.001)	Loss 3.0159 (2.6818)	Prec@1 29.500 (35.405)	Prec@5 56.000 (65.979)
Epoch: [5][8640/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.7296 (2.6819)	Prec@1 35.500 (35.404)	Prec@5 64.000 (65.977)
Epoch: [5][8650/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.6789 (2.6818)	Prec@1 36.500 (35.404)	Prec@5 64.500 (65.978)
Epoch: [5][8660/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.5733 (2.6818)	Prec@1 36.500 (35.404)	Prec@5 70.000 (65.979)
Epoch: [5][8670/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.8836 (2.6819)	Prec@1 31.000 (35.404)	Prec@5 61.500 (65.977)
Epoch: [5][8680/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.7716 (2.6819)	Prec@1 34.000 (35.404)	Prec@5 66.000 (65.978)
Epoch: [5][8690/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.9418 (2.6819)	Prec@1 31.500 (35.404)	Prec@5 65.500 (65.979)
Epoch: [5][8700/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.6822 (2.6818)	Prec@1 36.500 (35.404)	Prec@5 66.000 (65.980)
Epoch: [5][8710/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.7911 (2.6819)	Prec@1 32.500 (35.402)	Prec@5 63.500 (65.978)
Epoch: [5][8720/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.5914 (2.6819)	Prec@1 36.500 (35.402)	Prec@5 69.000 (65.979)
Epoch: [5][8730/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.4104 (2.6818)	Prec@1 43.500 (35.404)	Prec@5 67.500 (65.979)
Epoch: [5][8740/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.7793 (2.6818)	Prec@1 36.500 (35.406)	Prec@5 60.500 (65.978)
Epoch: [5][8750/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.4710 (2.6818)	Prec@1 42.500 (35.408)	Prec@5 70.500 (65.978)
Epoch: [5][8760/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.5122 (2.6818)	Prec@1 40.000 (35.407)	Prec@5 70.500 (65.977)
Epoch: [5][8770/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.7519 (2.6819)	Prec@1 31.500 (35.405)	Prec@5 65.500 (65.976)
Epoch: [5][8780/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.7580 (2.6819)	Prec@1 31.000 (35.407)	Prec@5 65.000 (65.976)
Epoch: [5][8790/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 3.0764 (2.6819)	Prec@1 27.000 (35.406)	Prec@5 57.500 (65.976)
Epoch: [5][8800/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.9597 (2.6819)	Prec@1 33.000 (35.406)	Prec@5 64.000 (65.977)
Epoch: [5][8810/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.5289 (2.6819)	Prec@1 36.000 (35.407)	Prec@5 67.500 (65.978)
Epoch: [5][8820/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.6200 (2.6818)	Prec@1 36.000 (35.407)	Prec@5 68.000 (65.979)
Epoch: [5][8830/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.5938 (2.6818)	Prec@1 35.500 (35.407)	Prec@5 69.000 (65.978)
Epoch: [5][8840/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.6925 (2.6818)	Prec@1 32.000 (35.405)	Prec@5 64.000 (65.978)
Epoch: [5][8850/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.6913 (2.6818)	Prec@1 35.500 (35.405)	Prec@5 63.000 (65.978)
Epoch: [5][8860/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.7869 (2.6817)	Prec@1 33.500 (35.405)	Prec@5 65.000 (65.979)
Epoch: [5][8870/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.6386 (2.6818)	Prec@1 37.000 (35.404)	Prec@5 66.500 (65.978)
Epoch: [5][8880/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.5853 (2.6818)	Prec@1 38.500 (35.404)	Prec@5 68.500 (65.979)
Epoch: [5][8890/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.8628 (2.6818)	Prec@1 30.500 (35.403)	Prec@5 64.000 (65.980)
Epoch: [5][8900/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.5956 (2.6818)	Prec@1 38.500 (35.402)	Prec@5 69.500 (65.978)
Epoch: [5][8910/9018]	Time 0.693 (0.613)	Data 0.001 (0.001)	Loss 2.5982 (2.6818)	Prec@1 36.500 (35.401)	Prec@5 62.500 (65.976)
Epoch: [5][8920/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.9018 (2.6818)	Prec@1 31.500 (35.401)	Prec@5 63.500 (65.977)
Epoch: [5][8930/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.7051 (2.6819)	Prec@1 34.500 (35.401)	Prec@5 67.000 (65.977)
Epoch: [5][8940/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.6012 (2.6818)	Prec@1 34.500 (35.402)	Prec@5 65.000 (65.979)
Epoch: [5][8950/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.7403 (2.6818)	Prec@1 33.500 (35.401)	Prec@5 65.500 (65.978)
Epoch: [5][8960/9018]	Time 0.718 (0.613)	Data 0.001 (0.001)	Loss 2.5956 (2.6818)	Prec@1 32.500 (35.400)	Prec@5 69.500 (65.977)
Epoch: [5][8970/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.7939 (2.6818)	Prec@1 37.500 (35.402)	Prec@5 62.000 (65.978)
Epoch: [5][8980/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.8134 (2.6817)	Prec@1 34.500 (35.403)	Prec@5 61.500 (65.978)
Epoch: [5][8990/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.7640 (2.6817)	Prec@1 34.000 (35.404)	Prec@5 62.000 (65.978)
Epoch: [5][9000/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.4197 (2.6817)	Prec@1 42.000 (35.403)	Prec@5 73.500 (65.981)
Epoch: [5][9010/9018]	Time 0.595 (0.613)	Data 0.000 (0.001)	Loss 2.7313 (2.6817)	Prec@1 33.500 (35.403)	Prec@5 64.000 (65.981)
Test: [0/183]	Time 1.491 (1.491)	Loss 2.8577 (2.8577)	Prec@1 35.500 (35.500)	Prec@5 62.500 (62.500)
Test: [10/183]	Time 0.188 (0.319)	Loss 2.3367 (2.2167)	Prec@1 42.000 (43.318)	Prec@5 72.500 (75.545)
Test: [20/183]	Time 0.183 (0.257)	Loss 2.7830 (2.2509)	Prec@1 28.500 (42.310)	Prec@5 73.000 (75.024)
Test: [30/183]	Time 0.203 (0.241)	Loss 2.7496 (2.2917)	Prec@1 22.000 (41.387)	Prec@5 67.000 (74.081)
Test: [40/183]	Time 0.192 (0.228)	Loss 2.8159 (2.3264)	Prec@1 26.500 (41.024)	Prec@5 72.500 (73.439)
Test: [50/183]	Time 0.185 (0.222)	Loss 2.0520 (2.3240)	Prec@1 46.500 (41.608)	Prec@5 76.500 (73.196)
Test: [60/183]	Time 0.193 (0.217)	Loss 2.8907 (2.3899)	Prec@1 25.500 (39.828)	Prec@5 66.500 (72.156)
Test: [70/183]	Time 0.190 (0.213)	Loss 2.6830 (2.3704)	Prec@1 31.500 (39.894)	Prec@5 67.500 (72.648)
Test: [80/183]	Time 0.187 (0.211)	Loss 1.8127 (2.3594)	Prec@1 53.000 (40.506)	Prec@5 86.000 (72.722)
Test: [90/183]	Time 0.180 (0.208)	Loss 2.8508 (2.3568)	Prec@1 28.500 (40.451)	Prec@5 65.000 (72.868)
Test: [100/183]	Time 0.187 (0.207)	Loss 1.4297 (2.3438)	Prec@1 60.500 (40.436)	Prec@5 89.000 (73.347)
Test: [110/183]	Time 0.196 (0.206)	Loss 1.1336 (2.3566)	Prec@1 71.500 (40.270)	Prec@5 94.000 (73.077)
Test: [120/183]	Time 0.179 (0.204)	Loss 3.1921 (2.3720)	Prec@1 26.000 (39.690)	Prec@5 51.500 (72.744)
Test: [130/183]	Time 0.188 (0.203)	Loss 3.5619 (2.3868)	Prec@1 15.500 (39.256)	Prec@5 52.500 (72.553)
Test: [140/183]	Time 0.192 (0.202)	Loss 2.9772 (2.3850)	Prec@1 23.500 (39.383)	Prec@5 61.000 (72.663)
Test: [150/183]	Time 0.200 (0.202)	Loss 1.6239 (2.3758)	Prec@1 51.000 (39.666)	Prec@5 91.000 (72.775)
Test: [160/183]	Time 0.192 (0.201)	Loss 2.0407 (2.3614)	Prec@1 48.500 (40.087)	Prec@5 73.000 (73.003)
Test: [170/183]	Time 0.203 (0.200)	Loss 3.2279 (2.3818)	Prec@1 15.000 (39.673)	Prec@5 58.500 (72.611)
Test: [180/183]	Time 0.179 (0.200)	Loss 2.6839 (2.3939)	Prec@1 31.000 (39.470)	Prec@5 68.000 (72.337)
 * Prec@1 39.542 Prec@5 72.362
Epoch: [6][0/9018]	Time 2.630 (2.630)	Data 2.023 (2.023)	Loss 2.5316 (2.5316)	Prec@1 39.000 (39.000)	Prec@5 68.000 (68.000)
Epoch: [6][10/9018]	Time 0.596 (0.799)	Data 0.001 (0.185)	Loss 2.5596 (2.6412)	Prec@1 37.500 (36.091)	Prec@5 70.000 (67.182)
Epoch: [6][20/9018]	Time 0.595 (0.702)	Data 0.001 (0.097)	Loss 2.6904 (2.6377)	Prec@1 32.500 (35.929)	Prec@5 68.000 (67.452)
Epoch: [6][30/9018]	Time 0.600 (0.673)	Data 0.001 (0.066)	Loss 2.6193 (2.6273)	Prec@1 37.000 (36.403)	Prec@5 68.000 (67.323)
Epoch: [6][40/9018]	Time 0.702 (0.657)	Data 0.001 (0.050)	Loss 2.7619 (2.6413)	Prec@1 33.500 (36.293)	Prec@5 62.000 (66.878)
Epoch: [6][50/9018]	Time 0.597 (0.645)	Data 0.001 (0.040)	Loss 2.7885 (2.6453)	Prec@1 36.500 (36.167)	Prec@5 60.000 (66.559)
Epoch: [6][60/9018]	Time 0.595 (0.639)	Data 0.001 (0.034)	Loss 2.6018 (2.6589)	Prec@1 35.500 (35.803)	Prec@5 68.000 (66.295)
Epoch: [6][70/9018]	Time 0.593 (0.633)	Data 0.001 (0.029)	Loss 2.6562 (2.6754)	Prec@1 35.000 (35.268)	Prec@5 66.500 (65.958)
Epoch: [6][80/9018]	Time 0.591 (0.630)	Data 0.001 (0.026)	Loss 2.7124 (2.6657)	Prec@1 37.500 (35.457)	Prec@5 66.500 (66.241)
Epoch: [6][90/9018]	Time 0.600 (0.628)	Data 0.001 (0.023)	Loss 2.5509 (2.6575)	Prec@1 40.000 (35.764)	Prec@5 66.500 (66.335)
Epoch: [6][100/9018]	Time 0.605 (0.625)	Data 0.001 (0.021)	Loss 2.3479 (2.6528)	Prec@1 39.500 (35.832)	Prec@5 72.500 (66.391)
Epoch: [6][110/9018]	Time 0.591 (0.623)	Data 0.001 (0.019)	Loss 2.5582 (2.6479)	Prec@1 33.000 (35.887)	Prec@5 69.000 (66.468)
Epoch: [6][120/9018]	Time 0.599 (0.621)	Data 0.001 (0.017)	Loss 2.5729 (2.6525)	Prec@1 40.500 (35.880)	Prec@5 68.000 (66.455)
Epoch: [6][130/9018]	Time 0.601 (0.620)	Data 0.001 (0.016)	Loss 2.5740 (2.6510)	Prec@1 36.000 (35.958)	Prec@5 66.000 (66.565)
Epoch: [6][140/9018]	Time 0.599 (0.619)	Data 0.001 (0.015)	Loss 2.7398 (2.6534)	Prec@1 35.500 (35.911)	Prec@5 63.000 (66.514)
Epoch: [6][150/9018]	Time 0.598 (0.618)	Data 0.001 (0.014)	Loss 2.5881 (2.6526)	Prec@1 39.000 (35.927)	Prec@5 68.000 (66.503)
Epoch: [6][160/9018]	Time 0.595 (0.617)	Data 0.001 (0.013)	Loss 2.4980 (2.6523)	Prec@1 35.500 (35.966)	Prec@5 71.000 (66.543)
Epoch: [6][170/9018]	Time 0.601 (0.616)	Data 0.001 (0.013)	Loss 2.4837 (2.6524)	Prec@1 38.000 (35.921)	Prec@5 66.500 (66.556)
Epoch: [6][180/9018]	Time 0.609 (0.616)	Data 0.001 (0.012)	Loss 2.5637 (2.6472)	Prec@1 41.000 (36.072)	Prec@5 68.000 (66.680)
Epoch: [6][190/9018]	Time 0.606 (0.616)	Data 0.001 (0.011)	Loss 2.7716 (2.6463)	Prec@1 37.500 (36.157)	Prec@5 64.000 (66.673)
Epoch: [6][200/9018]	Time 0.603 (0.615)	Data 0.001 (0.011)	Loss 2.9376 (2.6489)	Prec@1 31.000 (36.060)	Prec@5 58.000 (66.617)
Epoch: [6][210/9018]	Time 0.592 (0.614)	Data 0.001 (0.010)	Loss 2.5102 (2.6469)	Prec@1 37.000 (36.085)	Prec@5 68.000 (66.680)
Epoch: [6][220/9018]	Time 0.604 (0.613)	Data 0.001 (0.010)	Loss 2.8114 (2.6468)	Prec@1 33.500 (36.104)	Prec@5 63.000 (66.674)
Epoch: [6][230/9018]	Time 0.606 (0.613)	Data 0.001 (0.009)	Loss 2.4804 (2.6470)	Prec@1 40.000 (36.121)	Prec@5 74.500 (66.740)
Epoch: [6][240/9018]	Time 0.605 (0.613)	Data 0.001 (0.009)	Loss 2.5175 (2.6495)	Prec@1 38.000 (36.089)	Prec@5 71.000 (66.683)
Epoch: [6][250/9018]	Time 0.593 (0.612)	Data 0.001 (0.009)	Loss 2.7390 (2.6510)	Prec@1 30.000 (36.024)	Prec@5 64.000 (66.671)
Epoch: [6][260/9018]	Time 0.593 (0.612)	Data 0.001 (0.008)	Loss 2.3676 (2.6506)	Prec@1 41.500 (36.010)	Prec@5 71.000 (66.678)
Epoch: [6][270/9018]	Time 0.603 (0.612)	Data 0.001 (0.008)	Loss 2.5887 (2.6489)	Prec@1 34.500 (36.022)	Prec@5 65.500 (66.696)
Epoch: [6][280/9018]	Time 0.597 (0.612)	Data 0.001 (0.008)	Loss 2.6280 (2.6468)	Prec@1 36.000 (36.014)	Prec@5 70.000 (66.721)
Epoch: [6][290/9018]	Time 0.600 (0.611)	Data 0.001 (0.008)	Loss 2.5629 (2.6485)	Prec@1 34.500 (35.967)	Prec@5 72.000 (66.680)
Epoch: [6][300/9018]	Time 0.602 (0.611)	Data 0.001 (0.007)	Loss 2.7385 (2.6488)	Prec@1 38.500 (35.997)	Prec@5 65.500 (66.653)
Epoch: [6][310/9018]	Time 0.598 (0.611)	Data 0.001 (0.007)	Loss 2.9093 (2.6470)	Prec@1 29.500 (36.011)	Prec@5 60.500 (66.678)
Epoch: [6][320/9018]	Time 0.718 (0.611)	Data 0.001 (0.007)	Loss 2.3706 (2.6471)	Prec@1 38.000 (36.017)	Prec@5 72.000 (66.664)
Epoch: [6][330/9018]	Time 0.598 (0.611)	Data 0.001 (0.007)	Loss 2.7080 (2.6493)	Prec@1 35.500 (36.018)	Prec@5 63.500 (66.645)
Epoch: [6][340/9018]	Time 0.597 (0.611)	Data 0.001 (0.007)	Loss 2.6987 (2.6495)	Prec@1 37.500 (35.997)	Prec@5 62.000 (66.609)
Epoch: [6][350/9018]	Time 0.594 (0.610)	Data 0.001 (0.006)	Loss 2.6908 (2.6501)	Prec@1 37.000 (35.981)	Prec@5 63.500 (66.556)
Epoch: [6][360/9018]	Time 0.594 (0.610)	Data 0.001 (0.006)	Loss 2.6426 (2.6492)	Prec@1 35.000 (36.011)	Prec@5 67.500 (66.578)
Epoch: [6][370/9018]	Time 0.708 (0.610)	Data 0.001 (0.006)	Loss 2.8765 (2.6487)	Prec@1 32.000 (36.018)	Prec@5 61.500 (66.580)
Epoch: [6][380/9018]	Time 0.603 (0.610)	Data 0.001 (0.006)	Loss 2.7764 (2.6489)	Prec@1 34.000 (36.007)	Prec@5 65.000 (66.605)
Epoch: [6][390/9018]	Time 0.604 (0.610)	Data 0.001 (0.006)	Loss 2.7985 (2.6485)	Prec@1 30.500 (35.968)	Prec@5 63.000 (66.595)
Epoch: [6][400/9018]	Time 0.591 (0.609)	Data 0.001 (0.006)	Loss 2.7722 (2.6494)	Prec@1 32.500 (35.961)	Prec@5 65.000 (66.599)
Epoch: [6][410/9018]	Time 0.596 (0.609)	Data 0.001 (0.006)	Loss 2.6387 (2.6496)	Prec@1 38.000 (35.976)	Prec@5 68.000 (66.578)
Epoch: [6][420/9018]	Time 0.598 (0.609)	Data 0.001 (0.006)	Loss 2.6700 (2.6509)	Prec@1 33.500 (35.967)	Prec@5 68.500 (66.549)
Epoch: [6][430/9018]	Time 0.599 (0.609)	Data 0.001 (0.005)	Loss 2.8183 (2.6505)	Prec@1 30.500 (35.940)	Prec@5 62.000 (66.532)
Epoch: [6][440/9018]	Time 0.597 (0.609)	Data 0.001 (0.005)	Loss 2.4605 (2.6509)	Prec@1 39.000 (35.922)	Prec@5 73.000 (66.533)
Epoch: [6][450/9018]	Time 0.604 (0.609)	Data 0.001 (0.005)	Loss 2.8247 (2.6510)	Prec@1 38.000 (35.911)	Prec@5 63.000 (66.525)
Epoch: [6][460/9018]	Time 0.601 (0.609)	Data 0.001 (0.005)	Loss 2.6861 (2.6513)	Prec@1 34.500 (35.922)	Prec@5 66.500 (66.507)
Epoch: [6][470/9018]	Time 0.598 (0.609)	Data 0.001 (0.005)	Loss 2.5238 (2.6512)	Prec@1 37.500 (35.916)	Prec@5 68.000 (66.481)
Epoch: [6][480/9018]	Time 0.595 (0.608)	Data 0.001 (0.005)	Loss 2.7228 (2.6505)	Prec@1 34.000 (35.915)	Prec@5 61.500 (66.498)
Epoch: [6][490/9018]	Time 0.605 (0.608)	Data 0.001 (0.005)	Loss 2.7804 (2.6514)	Prec@1 34.000 (35.906)	Prec@5 64.000 (66.464)
Epoch: [6][500/9018]	Time 0.600 (0.608)	Data 0.001 (0.005)	Loss 2.5173 (2.6521)	Prec@1 38.500 (35.874)	Prec@5 68.000 (66.453)
Epoch: [6][510/9018]	Time 0.597 (0.608)	Data 0.001 (0.005)	Loss 2.5088 (2.6512)	Prec@1 39.000 (35.913)	Prec@5 70.000 (66.477)
Epoch: [6][520/9018]	Time 0.595 (0.608)	Data 0.001 (0.005)	Loss 2.8582 (2.6516)	Prec@1 30.000 (35.924)	Prec@5 64.000 (66.482)
Epoch: [6][530/9018]	Time 0.600 (0.608)	Data 0.001 (0.005)	Loss 2.7472 (2.6512)	Prec@1 38.000 (35.951)	Prec@5 60.500 (66.505)
Epoch: [6][540/9018]	Time 0.594 (0.608)	Data 0.001 (0.004)	Loss 2.4827 (2.6516)	Prec@1 38.000 (35.952)	Prec@5 70.500 (66.507)
Epoch: [6][550/9018]	Time 0.593 (0.608)	Data 0.001 (0.004)	Loss 2.5330 (2.6508)	Prec@1 36.500 (35.962)	Prec@5 68.500 (66.488)
Epoch: [6][560/9018]	Time 0.591 (0.608)	Data 0.001 (0.004)	Loss 2.7296 (2.6515)	Prec@1 38.000 (35.969)	Prec@5 61.500 (66.474)
Epoch: [6][570/9018]	Time 0.599 (0.608)	Data 0.001 (0.004)	Loss 2.5037 (2.6502)	Prec@1 42.000 (35.977)	Prec@5 68.000 (66.498)
Epoch: [6][580/9018]	Time 0.607 (0.607)	Data 0.001 (0.004)	Loss 2.3825 (2.6521)	Prec@1 43.000 (35.944)	Prec@5 72.500 (66.454)
Epoch: [6][590/9018]	Time 0.594 (0.607)	Data 0.001 (0.004)	Loss 2.6633 (2.6524)	Prec@1 36.000 (35.949)	Prec@5 68.500 (66.438)
Epoch: [6][600/9018]	Time 0.596 (0.607)	Data 0.001 (0.004)	Loss 2.6992 (2.6532)	Prec@1 32.500 (35.934)	Prec@5 66.000 (66.394)
Epoch: [6][610/9018]	Time 0.591 (0.607)	Data 0.001 (0.004)	Loss 2.6792 (2.6540)	Prec@1 36.500 (35.930)	Prec@5 64.000 (66.377)
Epoch: [6][620/9018]	Time 0.599 (0.607)	Data 0.001 (0.004)	Loss 2.7718 (2.6549)	Prec@1 31.500 (35.923)	Prec@5 63.000 (66.349)
Epoch: [6][630/9018]	Time 0.591 (0.607)	Data 0.001 (0.004)	Loss 2.7200 (2.6542)	Prec@1 32.500 (35.921)	Prec@5 63.500 (66.361)
Epoch: [6][640/9018]	Time 0.599 (0.607)	Data 0.001 (0.004)	Loss 2.7005 (2.6533)	Prec@1 36.500 (35.933)	Prec@5 66.000 (66.392)
Epoch: [6][650/9018]	Time 0.698 (0.607)	Data 0.001 (0.004)	Loss 2.8448 (2.6530)	Prec@1 35.000 (35.935)	Prec@5 66.000 (66.400)
Epoch: [6][660/9018]	Time 0.596 (0.607)	Data 0.001 (0.004)	Loss 2.7292 (2.6535)	Prec@1 37.000 (35.915)	Prec@5 69.000 (66.412)
Epoch: [6][670/9018]	Time 0.598 (0.607)	Data 0.001 (0.004)	Loss 2.5176 (2.6533)	Prec@1 39.500 (35.899)	Prec@5 66.500 (66.411)
Epoch: [6][680/9018]	Time 0.594 (0.607)	Data 0.001 (0.004)	Loss 2.4705 (2.6543)	Prec@1 40.000 (35.891)	Prec@5 72.000 (66.406)
Epoch: [6][690/9018]	Time 0.590 (0.607)	Data 0.001 (0.004)	Loss 2.5191 (2.6547)	Prec@1 39.000 (35.889)	Prec@5 69.000 (66.402)
Epoch: [6][700/9018]	Time 0.684 (0.607)	Data 0.001 (0.004)	Loss 2.6256 (2.6550)	Prec@1 30.000 (35.859)	Prec@5 67.500 (66.399)
Epoch: [6][710/9018]	Time 0.598 (0.607)	Data 0.001 (0.004)	Loss 2.4644 (2.6553)	Prec@1 40.500 (35.859)	Prec@5 68.000 (66.371)
Epoch: [6][720/9018]	Time 0.595 (0.607)	Data 0.001 (0.004)	Loss 2.6204 (2.6548)	Prec@1 38.000 (35.860)	Prec@5 64.000 (66.370)
Epoch: [6][730/9018]	Time 0.605 (0.607)	Data 0.001 (0.003)	Loss 2.3337 (2.6545)	Prec@1 39.000 (35.850)	Prec@5 72.000 (66.387)
Epoch: [6][740/9018]	Time 0.595 (0.607)	Data 0.001 (0.003)	Loss 2.8898 (2.6550)	Prec@1 36.000 (35.843)	Prec@5 60.500 (66.384)
Epoch: [6][750/9018]	Time 0.595 (0.607)	Data 0.001 (0.003)	Loss 2.4973 (2.6546)	Prec@1 38.000 (35.854)	Prec@5 68.000 (66.396)
Epoch: [6][760/9018]	Time 0.607 (0.607)	Data 0.001 (0.003)	Loss 2.5611 (2.6537)	Prec@1 38.000 (35.871)	Prec@5 68.000 (66.420)
Epoch: [6][770/9018]	Time 0.594 (0.607)	Data 0.001 (0.003)	Loss 2.7488 (2.6530)	Prec@1 34.500 (35.889)	Prec@5 69.500 (66.429)
Epoch: [6][780/9018]	Time 0.592 (0.607)	Data 0.001 (0.003)	Loss 2.7767 (2.6533)	Prec@1 37.000 (35.883)	Prec@5 63.000 (66.415)
Epoch: [6][790/9018]	Time 0.600 (0.607)	Data 0.001 (0.003)	Loss 2.5216 (2.6534)	Prec@1 41.000 (35.894)	Prec@5 68.500 (66.428)
Epoch: [6][800/9018]	Time 0.601 (0.607)	Data 0.001 (0.003)	Loss 2.7023 (2.6533)	Prec@1 39.500 (35.900)	Prec@5 59.000 (66.433)
Epoch: [6][810/9018]	Time 0.600 (0.606)	Data 0.001 (0.003)	Loss 2.7209 (2.6530)	Prec@1 36.500 (35.910)	Prec@5 65.500 (66.436)
Epoch: [6][820/9018]	Time 0.592 (0.606)	Data 0.001 (0.003)	Loss 2.7369 (2.6540)	Prec@1 40.000 (35.904)	Prec@5 64.500 (66.423)
Epoch: [6][830/9018]	Time 0.605 (0.606)	Data 0.001 (0.003)	Loss 2.5245 (2.6537)	Prec@1 42.500 (35.919)	Prec@5 65.000 (66.421)
Epoch: [6][840/9018]	Time 0.592 (0.606)	Data 0.001 (0.003)	Loss 2.4914 (2.6541)	Prec@1 38.000 (35.902)	Prec@5 68.000 (66.417)
Epoch: [6][850/9018]	Time 0.590 (0.606)	Data 0.001 (0.003)	Loss 2.8105 (2.6543)	Prec@1 36.000 (35.915)	Prec@5 63.500 (66.406)
Epoch: [6][860/9018]	Time 0.602 (0.606)	Data 0.001 (0.003)	Loss 2.9432 (2.6545)	Prec@1 30.000 (35.925)	Prec@5 58.500 (66.386)
Epoch: [6][870/9018]	Time 0.592 (0.606)	Data 0.001 (0.003)	Loss 2.6688 (2.6541)	Prec@1 37.500 (35.933)	Prec@5 65.500 (66.394)
Epoch: [6][880/9018]	Time 0.597 (0.606)	Data 0.001 (0.003)	Loss 2.6103 (2.6536)	Prec@1 40.500 (35.949)	Prec@5 66.000 (66.394)
Epoch: [6][890/9018]	Time 0.602 (0.606)	Data 0.001 (0.003)	Loss 2.7068 (2.6542)	Prec@1 37.500 (35.942)	Prec@5 61.000 (66.381)
Epoch: [6][900/9018]	Time 0.590 (0.606)	Data 0.001 (0.003)	Loss 2.9420 (2.6541)	Prec@1 26.500 (35.937)	Prec@5 63.000 (66.364)
Epoch: [6][910/9018]	Time 0.601 (0.606)	Data 0.001 (0.003)	Loss 2.6385 (2.6542)	Prec@1 38.000 (35.931)	Prec@5 66.000 (66.360)
Epoch: [6][920/9018]	Time 0.607 (0.606)	Data 0.001 (0.003)	Loss 2.6680 (2.6552)	Prec@1 33.000 (35.906)	Prec@5 68.500 (66.344)
Epoch: [6][930/9018]	Time 0.598 (0.606)	Data 0.001 (0.003)	Loss 2.5648 (2.6554)	Prec@1 37.000 (35.900)	Prec@5 71.000 (66.335)
Epoch: [6][940/9018]	Time 0.594 (0.606)	Data 0.001 (0.003)	Loss 2.4677 (2.6556)	Prec@1 35.500 (35.887)	Prec@5 73.500 (66.334)
Epoch: [6][950/9018]	Time 0.591 (0.606)	Data 0.001 (0.003)	Loss 2.6095 (2.6553)	Prec@1 35.000 (35.898)	Prec@5 66.500 (66.340)
Epoch: [6][960/9018]	Time 0.601 (0.606)	Data 0.001 (0.003)	Loss 2.5071 (2.6548)	Prec@1 39.000 (35.908)	Prec@5 71.500 (66.357)
Epoch: [6][970/9018]	Time 0.594 (0.606)	Data 0.001 (0.003)	Loss 2.7087 (2.6547)	Prec@1 39.000 (35.906)	Prec@5 64.500 (66.355)
Epoch: [6][980/9018]	Time 0.696 (0.606)	Data 0.001 (0.003)	Loss 2.9227 (2.6555)	Prec@1 30.500 (35.898)	Prec@5 65.500 (66.345)
Epoch: [6][990/9018]	Time 0.595 (0.606)	Data 0.001 (0.003)	Loss 2.5653 (2.6557)	Prec@1 37.000 (35.892)	Prec@5 68.000 (66.339)
Epoch: [6][1000/9018]	Time 0.590 (0.606)	Data 0.001 (0.003)	Loss 2.6861 (2.6554)	Prec@1 34.000 (35.900)	Prec@5 69.500 (66.346)
Epoch: [6][1010/9018]	Time 0.595 (0.606)	Data 0.001 (0.003)	Loss 2.7702 (2.6557)	Prec@1 31.000 (35.896)	Prec@5 64.000 (66.346)
Epoch: [6][1020/9018]	Time 0.593 (0.606)	Data 0.001 (0.003)	Loss 2.6575 (2.6554)	Prec@1 32.500 (35.894)	Prec@5 67.500 (66.350)
Epoch: [6][1030/9018]	Time 0.680 (0.606)	Data 0.001 (0.003)	Loss 2.5627 (2.6559)	Prec@1 36.000 (35.884)	Prec@5 65.000 (66.352)
Epoch: [6][1040/9018]	Time 0.596 (0.606)	Data 0.001 (0.003)	Loss 2.6925 (2.6565)	Prec@1 36.000 (35.874)	Prec@5 66.500 (66.346)
Epoch: [6][1050/9018]	Time 0.594 (0.606)	Data 0.001 (0.003)	Loss 2.6222 (2.6565)	Prec@1 38.000 (35.882)	Prec@5 65.000 (66.343)
Epoch: [6][1060/9018]	Time 0.598 (0.606)	Data 0.001 (0.003)	Loss 2.7237 (2.6561)	Prec@1 32.500 (35.881)	Prec@5 63.000 (66.355)
Epoch: [6][1070/9018]	Time 0.601 (0.606)	Data 0.001 (0.003)	Loss 2.7864 (2.6564)	Prec@1 31.000 (35.872)	Prec@5 66.000 (66.356)
Epoch: [6][1080/9018]	Time 0.604 (0.606)	Data 0.001 (0.003)	Loss 2.6765 (2.6563)	Prec@1 41.000 (35.873)	Prec@5 66.000 (66.365)
Epoch: [6][1090/9018]	Time 0.593 (0.606)	Data 0.001 (0.003)	Loss 2.3239 (2.6559)	Prec@1 43.000 (35.879)	Prec@5 72.000 (66.378)
Epoch: [6][1100/9018]	Time 0.602 (0.606)	Data 0.001 (0.003)	Loss 2.6385 (2.6565)	Prec@1 36.000 (35.876)	Prec@5 67.000 (66.365)
Epoch: [6][1110/9018]	Time 0.599 (0.606)	Data 0.001 (0.003)	Loss 2.5526 (2.6557)	Prec@1 41.000 (35.901)	Prec@5 65.000 (66.371)
Epoch: [6][1120/9018]	Time 0.596 (0.606)	Data 0.001 (0.003)	Loss 2.5330 (2.6556)	Prec@1 36.000 (35.900)	Prec@5 66.000 (66.376)
Epoch: [6][1130/9018]	Time 0.597 (0.606)	Data 0.001 (0.003)	Loss 2.9947 (2.6559)	Prec@1 31.000 (35.894)	Prec@5 58.500 (66.365)
Epoch: [6][1140/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 2.8133 (2.6565)	Prec@1 33.000 (35.883)	Prec@5 63.500 (66.355)
Epoch: [6][1150/9018]	Time 0.593 (0.606)	Data 0.001 (0.002)	Loss 2.6196 (2.6568)	Prec@1 32.500 (35.872)	Prec@5 67.000 (66.353)
Epoch: [6][1160/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 2.5851 (2.6568)	Prec@1 41.500 (35.876)	Prec@5 66.500 (66.351)
Epoch: [6][1170/9018]	Time 0.602 (0.606)	Data 0.001 (0.002)	Loss 2.7627 (2.6573)	Prec@1 33.500 (35.878)	Prec@5 64.500 (66.342)
Epoch: [6][1180/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 2.5797 (2.6568)	Prec@1 33.500 (35.884)	Prec@5 67.500 (66.351)
Epoch: [6][1190/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 2.9165 (2.6569)	Prec@1 31.000 (35.875)	Prec@5 58.000 (66.343)
Epoch: [6][1200/9018]	Time 0.595 (0.606)	Data 0.001 (0.002)	Loss 2.4730 (2.6571)	Prec@1 42.000 (35.878)	Prec@5 70.000 (66.340)
Epoch: [6][1210/9018]	Time 0.602 (0.606)	Data 0.001 (0.002)	Loss 2.9448 (2.6569)	Prec@1 28.000 (35.876)	Prec@5 59.000 (66.341)
Epoch: [6][1220/9018]	Time 0.592 (0.606)	Data 0.001 (0.002)	Loss 2.5733 (2.6570)	Prec@1 35.500 (35.876)	Prec@5 65.000 (66.335)
Epoch: [6][1230/9018]	Time 0.595 (0.606)	Data 0.001 (0.002)	Loss 2.5546 (2.6568)	Prec@1 41.500 (35.879)	Prec@5 67.000 (66.336)
Epoch: [6][1240/9018]	Time 0.593 (0.606)	Data 0.001 (0.002)	Loss 2.5994 (2.6565)	Prec@1 38.500 (35.880)	Prec@5 68.000 (66.353)
Epoch: [6][1250/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 2.6717 (2.6565)	Prec@1 34.000 (35.886)	Prec@5 64.500 (66.351)
Epoch: [6][1260/9018]	Time 0.606 (0.606)	Data 0.001 (0.002)	Loss 2.7255 (2.6566)	Prec@1 36.000 (35.883)	Prec@5 66.000 (66.358)
Epoch: [6][1270/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 2.9243 (2.6565)	Prec@1 29.000 (35.880)	Prec@5 60.500 (66.349)
Epoch: [6][1280/9018]	Time 0.604 (0.606)	Data 0.001 (0.002)	Loss 2.6292 (2.6563)	Prec@1 39.500 (35.881)	Prec@5 67.500 (66.359)
Epoch: [6][1290/9018]	Time 0.604 (0.606)	Data 0.001 (0.002)	Loss 2.5815 (2.6563)	Prec@1 37.500 (35.875)	Prec@5 67.000 (66.356)
Epoch: [6][1300/9018]	Time 0.603 (0.606)	Data 0.001 (0.002)	Loss 2.5815 (2.6561)	Prec@1 40.000 (35.885)	Prec@5 66.500 (66.359)
Epoch: [6][1310/9018]	Time 0.702 (0.606)	Data 0.001 (0.002)	Loss 2.7666 (2.6555)	Prec@1 35.000 (35.898)	Prec@5 66.000 (66.370)
Epoch: [6][1320/9018]	Time 0.602 (0.606)	Data 0.001 (0.002)	Loss 2.7280 (2.6553)	Prec@1 32.500 (35.899)	Prec@5 69.500 (66.382)
Epoch: [6][1330/9018]	Time 0.595 (0.606)	Data 0.001 (0.002)	Loss 2.5853 (2.6551)	Prec@1 36.000 (35.888)	Prec@5 67.500 (66.392)
Epoch: [6][1340/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 2.5770 (2.6550)	Prec@1 39.500 (35.894)	Prec@5 70.000 (66.393)
Epoch: [6][1350/9018]	Time 0.598 (0.606)	Data 0.001 (0.002)	Loss 2.4833 (2.6547)	Prec@1 37.500 (35.895)	Prec@5 71.000 (66.404)
Epoch: [6][1360/9018]	Time 0.677 (0.606)	Data 0.001 (0.002)	Loss 2.9090 (2.6546)	Prec@1 36.000 (35.896)	Prec@5 62.500 (66.404)
Epoch: [6][1370/9018]	Time 0.602 (0.606)	Data 0.001 (0.002)	Loss 2.6495 (2.6546)	Prec@1 35.500 (35.889)	Prec@5 66.000 (66.415)
Epoch: [6][1380/9018]	Time 0.590 (0.606)	Data 0.001 (0.002)	Loss 2.6028 (2.6548)	Prec@1 34.500 (35.880)	Prec@5 67.000 (66.411)
Epoch: [6][1390/9018]	Time 0.604 (0.605)	Data 0.001 (0.002)	Loss 2.7481 (2.6550)	Prec@1 32.500 (35.886)	Prec@5 61.000 (66.408)
Epoch: [6][1400/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.6378 (2.6553)	Prec@1 36.500 (35.880)	Prec@5 69.000 (66.408)
Epoch: [6][1410/9018]	Time 0.608 (0.605)	Data 0.001 (0.002)	Loss 2.6686 (2.6552)	Prec@1 40.500 (35.890)	Prec@5 67.000 (66.405)
Epoch: [6][1420/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.5891 (2.6551)	Prec@1 33.500 (35.892)	Prec@5 68.000 (66.405)
Epoch: [6][1430/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.6775 (2.6553)	Prec@1 35.500 (35.884)	Prec@5 63.000 (66.399)
Epoch: [6][1440/9018]	Time 0.599 (0.605)	Data 0.001 (0.002)	Loss 2.4866 (2.6546)	Prec@1 42.000 (35.898)	Prec@5 72.000 (66.419)
Epoch: [6][1450/9018]	Time 0.598 (0.605)	Data 0.001 (0.002)	Loss 2.6271 (2.6544)	Prec@1 37.000 (35.905)	Prec@5 64.500 (66.425)
Epoch: [6][1460/9018]	Time 0.593 (0.605)	Data 0.001 (0.002)	Loss 2.4522 (2.6543)	Prec@1 37.000 (35.912)	Prec@5 73.000 (66.429)
Epoch: [6][1470/9018]	Time 0.601 (0.605)	Data 0.001 (0.002)	Loss 2.5812 (2.6543)	Prec@1 37.500 (35.911)	Prec@5 68.500 (66.427)
Epoch: [6][1480/9018]	Time 0.589 (0.605)	Data 0.001 (0.002)	Loss 2.7582 (2.6548)	Prec@1 32.000 (35.900)	Prec@5 65.500 (66.419)
Epoch: [6][1490/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.7928 (2.6549)	Prec@1 36.500 (35.900)	Prec@5 63.500 (66.415)
Epoch: [6][1500/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.6303 (2.6545)	Prec@1 34.000 (35.898)	Prec@5 65.500 (66.415)
Epoch: [6][1510/9018]	Time 0.602 (0.605)	Data 0.001 (0.002)	Loss 2.8017 (2.6544)	Prec@1 33.000 (35.896)	Prec@5 64.000 (66.424)
Epoch: [6][1520/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.4271 (2.6544)	Prec@1 40.000 (35.898)	Prec@5 72.000 (66.422)
Epoch: [6][1530/9018]	Time 0.590 (0.605)	Data 0.001 (0.002)	Loss 2.4577 (2.6545)	Prec@1 43.000 (35.900)	Prec@5 67.500 (66.416)
Epoch: [6][1540/9018]	Time 0.601 (0.605)	Data 0.001 (0.002)	Loss 2.5789 (2.6544)	Prec@1 36.000 (35.891)	Prec@5 68.500 (66.420)
Epoch: [6][1550/9018]	Time 0.594 (0.605)	Data 0.001 (0.002)	Loss 2.5520 (2.6544)	Prec@1 38.500 (35.897)	Prec@5 68.000 (66.422)
Epoch: [6][1560/9018]	Time 0.607 (0.605)	Data 0.001 (0.002)	Loss 2.6419 (2.6545)	Prec@1 35.500 (35.889)	Prec@5 63.500 (66.430)
Epoch: [6][1570/9018]	Time 0.588 (0.605)	Data 0.001 (0.002)	Loss 2.8981 (2.6538)	Prec@1 32.500 (35.903)	Prec@5 61.500 (66.449)
Epoch: [6][1580/9018]	Time 0.591 (0.605)	Data 0.001 (0.002)	Loss 2.5330 (2.6540)	Prec@1 36.500 (35.896)	Prec@5 73.000 (66.451)
Epoch: [6][1590/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.8077 (2.6541)	Prec@1 31.000 (35.892)	Prec@5 64.000 (66.446)
Epoch: [6][1600/9018]	Time 0.599 (0.605)	Data 0.001 (0.002)	Loss 2.6139 (2.6543)	Prec@1 34.500 (35.881)	Prec@5 66.500 (66.440)
Epoch: [6][1610/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.7234 (2.6541)	Prec@1 33.500 (35.880)	Prec@5 64.000 (66.447)
Epoch: [6][1620/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.6213 (2.6544)	Prec@1 35.500 (35.871)	Prec@5 66.500 (66.440)
Epoch: [6][1630/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.3978 (2.6542)	Prec@1 38.500 (35.875)	Prec@5 69.000 (66.444)
Epoch: [6][1640/9018]	Time 0.716 (0.605)	Data 0.001 (0.002)	Loss 2.7841 (2.6543)	Prec@1 32.500 (35.880)	Prec@5 61.500 (66.441)
Epoch: [6][1650/9018]	Time 0.603 (0.605)	Data 0.001 (0.002)	Loss 2.6988 (2.6541)	Prec@1 34.000 (35.892)	Prec@5 66.000 (66.449)
Epoch: [6][1660/9018]	Time 0.604 (0.605)	Data 0.001 (0.002)	Loss 2.6888 (2.6543)	Prec@1 37.000 (35.898)	Prec@5 62.500 (66.442)
Epoch: [6][1670/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.6661 (2.6546)	Prec@1 36.500 (35.894)	Prec@5 68.000 (66.438)
Epoch: [6][1680/9018]	Time 0.599 (0.605)	Data 0.001 (0.002)	Loss 2.6029 (2.6548)	Prec@1 38.500 (35.896)	Prec@5 66.500 (66.432)
Epoch: [6][1690/9018]	Time 0.694 (0.605)	Data 0.001 (0.002)	Loss 2.4844 (2.6549)	Prec@1 38.500 (35.894)	Prec@5 72.000 (66.436)
Epoch: [6][1700/9018]	Time 0.592 (0.605)	Data 0.001 (0.002)	Loss 2.6527 (2.6551)	Prec@1 38.500 (35.890)	Prec@5 71.000 (66.434)
Epoch: [6][1710/9018]	Time 0.597 (0.605)	Data 0.001 (0.002)	Loss 2.5039 (2.6554)	Prec@1 40.000 (35.887)	Prec@5 67.500 (66.429)
Epoch: [6][1720/9018]	Time 0.601 (0.605)	Data 0.001 (0.002)	Loss 2.6991 (2.6553)	Prec@1 37.500 (35.890)	Prec@5 66.000 (66.432)
Epoch: [6][1730/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.7908 (2.6554)	Prec@1 32.500 (35.884)	Prec@5 66.500 (66.432)
Epoch: [6][1740/9018]	Time 0.595 (0.605)	Data 0.001 (0.002)	Loss 2.6198 (2.6554)	Prec@1 36.000 (35.884)	Prec@5 69.500 (66.441)
Epoch: [6][1750/9018]	Time 0.599 (0.605)	Data 0.001 (0.002)	Loss 2.7718 (2.6555)	Prec@1 34.000 (35.887)	Prec@5 62.000 (66.440)
Epoch: [6][1760/9018]	Time 0.605 (0.605)	Data 0.001 (0.002)	Loss 2.6810 (2.6558)	Prec@1 31.000 (35.885)	Prec@5 66.000 (66.431)
Epoch: [6][1770/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.5303 (2.6555)	Prec@1 37.000 (35.885)	Prec@5 68.000 (66.434)
Epoch: [6][1780/9018]	Time 0.595 (0.605)	Data 0.001 (0.002)	Loss 2.7040 (2.6557)	Prec@1 36.000 (35.880)	Prec@5 66.500 (66.429)
Epoch: [6][1790/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.6335 (2.6557)	Prec@1 35.000 (35.879)	Prec@5 65.500 (66.428)
Epoch: [6][1800/9018]	Time 0.595 (0.605)	Data 0.001 (0.002)	Loss 2.8908 (2.6562)	Prec@1 29.500 (35.866)	Prec@5 61.500 (66.414)
Epoch: [6][1810/9018]	Time 0.598 (0.605)	Data 0.001 (0.002)	Loss 2.3307 (2.6560)	Prec@1 45.000 (35.867)	Prec@5 69.000 (66.418)
Epoch: [6][1820/9018]	Time 0.602 (0.605)	Data 0.001 (0.002)	Loss 2.6490 (2.6559)	Prec@1 36.000 (35.875)	Prec@5 64.500 (66.417)
Epoch: [6][1830/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.6797 (2.6563)	Prec@1 35.000 (35.866)	Prec@5 65.000 (66.406)
Epoch: [6][1840/9018]	Time 0.599 (0.605)	Data 0.001 (0.002)	Loss 2.8088 (2.6563)	Prec@1 35.000 (35.868)	Prec@5 63.500 (66.402)
Epoch: [6][1850/9018]	Time 0.597 (0.605)	Data 0.001 (0.002)	Loss 2.7362 (2.6562)	Prec@1 36.500 (35.875)	Prec@5 66.000 (66.405)
Epoch: [6][1860/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.7027 (2.6563)	Prec@1 35.000 (35.869)	Prec@5 64.000 (66.401)
Epoch: [6][1870/9018]	Time 0.595 (0.605)	Data 0.001 (0.002)	Loss 2.4836 (2.6561)	Prec@1 39.500 (35.876)	Prec@5 70.000 (66.408)
Epoch: [6][1880/9018]	Time 0.598 (0.605)	Data 0.001 (0.002)	Loss 2.7868 (2.6559)	Prec@1 37.000 (35.884)	Prec@5 62.500 (66.410)
Epoch: [6][1890/9018]	Time 0.594 (0.605)	Data 0.001 (0.002)	Loss 2.6484 (2.6557)	Prec@1 34.500 (35.891)	Prec@5 68.500 (66.417)
Epoch: [6][1900/9018]	Time 0.597 (0.605)	Data 0.001 (0.002)	Loss 2.6023 (2.6561)	Prec@1 32.500 (35.887)	Prec@5 69.000 (66.417)
Epoch: [6][1910/9018]	Time 0.590 (0.605)	Data 0.001 (0.002)	Loss 2.5017 (2.6560)	Prec@1 39.000 (35.883)	Prec@5 68.500 (66.420)
Epoch: [6][1920/9018]	Time 0.594 (0.605)	Data 0.001 (0.002)	Loss 2.5946 (2.6563)	Prec@1 37.000 (35.884)	Prec@5 65.500 (66.409)
Epoch: [6][1930/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.3965 (2.6562)	Prec@1 44.500 (35.888)	Prec@5 70.500 (66.410)
Epoch: [6][1940/9018]	Time 0.601 (0.605)	Data 0.001 (0.002)	Loss 2.7295 (2.6566)	Prec@1 32.500 (35.883)	Prec@5 65.500 (66.400)
Epoch: [6][1950/9018]	Time 0.592 (0.605)	Data 0.001 (0.002)	Loss 2.6885 (2.6568)	Prec@1 37.500 (35.879)	Prec@5 64.500 (66.390)
Epoch: [6][1960/9018]	Time 0.595 (0.605)	Data 0.001 (0.002)	Loss 2.4128 (2.6567)	Prec@1 43.500 (35.871)	Prec@5 72.000 (66.392)
Epoch: [6][1970/9018]	Time 0.677 (0.605)	Data 0.001 (0.002)	Loss 2.3661 (2.6566)	Prec@1 40.500 (35.872)	Prec@5 74.000 (66.398)
Epoch: [6][1980/9018]	Time 0.595 (0.605)	Data 0.001 (0.002)	Loss 2.7955 (2.6565)	Prec@1 34.000 (35.867)	Prec@5 64.500 (66.405)
Epoch: [6][1990/9018]	Time 0.591 (0.605)	Data 0.001 (0.002)	Loss 2.8368 (2.6565)	Prec@1 33.500 (35.864)	Prec@5 62.500 (66.403)
Epoch: [6][2000/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.6414 (2.6565)	Prec@1 34.500 (35.857)	Prec@5 70.500 (66.404)
Epoch: [6][2010/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.5301 (2.6563)	Prec@1 37.000 (35.863)	Prec@5 69.500 (66.405)
Epoch: [6][2020/9018]	Time 0.698 (0.605)	Data 0.001 (0.002)	Loss 2.6645 (2.6561)	Prec@1 34.500 (35.869)	Prec@5 62.000 (66.402)
Epoch: [6][2030/9018]	Time 0.594 (0.605)	Data 0.001 (0.002)	Loss 2.6488 (2.6559)	Prec@1 38.500 (35.872)	Prec@5 67.000 (66.407)
Epoch: [6][2040/9018]	Time 0.589 (0.605)	Data 0.001 (0.002)	Loss 2.6292 (2.6559)	Prec@1 37.500 (35.875)	Prec@5 69.000 (66.407)
Epoch: [6][2050/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.7459 (2.6558)	Prec@1 36.500 (35.877)	Prec@5 60.500 (66.406)
Epoch: [6][2060/9018]	Time 0.603 (0.605)	Data 0.001 (0.002)	Loss 2.5681 (2.6557)	Prec@1 34.500 (35.870)	Prec@5 67.500 (66.410)
Epoch: [6][2070/9018]	Time 0.593 (0.605)	Data 0.001 (0.002)	Loss 2.5192 (2.6555)	Prec@1 39.000 (35.875)	Prec@5 72.500 (66.419)
Epoch: [6][2080/9018]	Time 0.603 (0.605)	Data 0.001 (0.002)	Loss 2.7567 (2.6557)	Prec@1 32.500 (35.863)	Prec@5 67.500 (66.419)
Epoch: [6][2090/9018]	Time 0.602 (0.605)	Data 0.001 (0.002)	Loss 2.3536 (2.6555)	Prec@1 42.500 (35.864)	Prec@5 72.500 (66.420)
Epoch: [6][2100/9018]	Time 0.595 (0.605)	Data 0.001 (0.002)	Loss 2.5979 (2.6551)	Prec@1 36.500 (35.875)	Prec@5 69.500 (66.426)
Epoch: [6][2110/9018]	Time 0.597 (0.605)	Data 0.001 (0.002)	Loss 2.6477 (2.6551)	Prec@1 36.000 (35.871)	Prec@5 63.500 (66.422)
Epoch: [6][2120/9018]	Time 0.599 (0.605)	Data 0.001 (0.002)	Loss 2.7072 (2.6548)	Prec@1 35.500 (35.868)	Prec@5 67.000 (66.428)
Epoch: [6][2130/9018]	Time 0.599 (0.605)	Data 0.001 (0.002)	Loss 2.5208 (2.6550)	Prec@1 38.500 (35.865)	Prec@5 70.000 (66.418)
Epoch: [6][2140/9018]	Time 0.592 (0.605)	Data 0.001 (0.002)	Loss 2.8337 (2.6550)	Prec@1 30.000 (35.869)	Prec@5 63.500 (66.422)
Epoch: [6][2150/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.7338 (2.6549)	Prec@1 38.000 (35.878)	Prec@5 63.500 (66.424)
Epoch: [6][2160/9018]	Time 0.601 (0.605)	Data 0.001 (0.002)	Loss 2.5388 (2.6547)	Prec@1 36.500 (35.877)	Prec@5 73.000 (66.428)
Epoch: [6][2170/9018]	Time 0.599 (0.605)	Data 0.001 (0.002)	Loss 2.6322 (2.6548)	Prec@1 36.500 (35.873)	Prec@5 67.500 (66.427)
Epoch: [6][2180/9018]	Time 0.593 (0.605)	Data 0.001 (0.002)	Loss 2.8148 (2.6550)	Prec@1 36.000 (35.872)	Prec@5 61.500 (66.422)
Epoch: [6][2190/9018]	Time 0.592 (0.605)	Data 0.001 (0.002)	Loss 2.7004 (2.6549)	Prec@1 31.500 (35.876)	Prec@5 67.500 (66.429)
Epoch: [6][2200/9018]	Time 0.602 (0.605)	Data 0.001 (0.002)	Loss 2.7174 (2.6552)	Prec@1 31.000 (35.872)	Prec@5 66.000 (66.422)
Epoch: [6][2210/9018]	Time 0.599 (0.605)	Data 0.001 (0.002)	Loss 2.8189 (2.6552)	Prec@1 33.500 (35.874)	Prec@5 60.500 (66.421)
Epoch: [6][2220/9018]	Time 0.597 (0.605)	Data 0.001 (0.002)	Loss 2.7342 (2.6550)	Prec@1 39.500 (35.875)	Prec@5 68.500 (66.429)
Epoch: [6][2230/9018]	Time 0.594 (0.605)	Data 0.001 (0.002)	Loss 2.9084 (2.6552)	Prec@1 33.500 (35.869)	Prec@5 59.500 (66.424)
Epoch: [6][2240/9018]	Time 0.605 (0.605)	Data 0.001 (0.002)	Loss 2.6683 (2.6555)	Prec@1 34.500 (35.867)	Prec@5 66.500 (66.421)
Epoch: [6][2250/9018]	Time 0.592 (0.605)	Data 0.001 (0.002)	Loss 2.4730 (2.6553)	Prec@1 40.000 (35.874)	Prec@5 69.500 (66.429)
Epoch: [6][2260/9018]	Time 0.591 (0.605)	Data 0.001 (0.002)	Loss 2.8049 (2.6552)	Prec@1 31.000 (35.875)	Prec@5 66.000 (66.435)
Epoch: [6][2270/9018]	Time 0.593 (0.605)	Data 0.001 (0.002)	Loss 2.6306 (2.6552)	Prec@1 37.000 (35.873)	Prec@5 67.000 (66.437)
Epoch: [6][2280/9018]	Time 0.597 (0.605)	Data 0.001 (0.002)	Loss 2.9410 (2.6556)	Prec@1 30.500 (35.865)	Prec@5 60.000 (66.431)
Epoch: [6][2290/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.7118 (2.6558)	Prec@1 36.500 (35.863)	Prec@5 67.500 (66.424)
Epoch: [6][2300/9018]	Time 0.712 (0.605)	Data 0.001 (0.002)	Loss 2.8297 (2.6558)	Prec@1 35.000 (35.859)	Prec@5 64.500 (66.425)
Epoch: [6][2310/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.7060 (2.6558)	Prec@1 36.500 (35.852)	Prec@5 67.500 (66.428)
Epoch: [6][2320/9018]	Time 0.602 (0.605)	Data 0.001 (0.002)	Loss 2.3617 (2.6555)	Prec@1 38.000 (35.856)	Prec@5 74.000 (66.435)
Epoch: [6][2330/9018]	Time 0.592 (0.605)	Data 0.001 (0.002)	Loss 2.8024 (2.6558)	Prec@1 29.500 (35.849)	Prec@5 63.000 (66.428)
Epoch: [6][2340/9018]	Time 0.602 (0.605)	Data 0.001 (0.002)	Loss 2.4775 (2.6559)	Prec@1 33.500 (35.844)	Prec@5 70.000 (66.420)
Epoch: [6][2350/9018]	Time 0.715 (0.605)	Data 0.001 (0.002)	Loss 2.7558 (2.6563)	Prec@1 35.500 (35.838)	Prec@5 62.000 (66.409)
Epoch: [6][2360/9018]	Time 0.601 (0.605)	Data 0.001 (0.002)	Loss 2.2078 (2.6561)	Prec@1 44.000 (35.842)	Prec@5 77.000 (66.413)
Epoch: [6][2370/9018]	Time 0.601 (0.605)	Data 0.001 (0.002)	Loss 2.8099 (2.6561)	Prec@1 30.500 (35.837)	Prec@5 65.000 (66.415)
Epoch: [6][2380/9018]	Time 0.595 (0.605)	Data 0.001 (0.002)	Loss 2.5235 (2.6563)	Prec@1 37.000 (35.835)	Prec@5 69.000 (66.413)
Epoch: [6][2390/9018]	Time 0.606 (0.605)	Data 0.001 (0.002)	Loss 2.5413 (2.6564)	Prec@1 36.000 (35.831)	Prec@5 69.500 (66.411)
Epoch: [6][2400/9018]	Time 0.597 (0.605)	Data 0.001 (0.002)	Loss 2.6518 (2.6563)	Prec@1 39.500 (35.835)	Prec@5 64.000 (66.411)
Epoch: [6][2410/9018]	Time 0.603 (0.605)	Data 0.001 (0.002)	Loss 2.4438 (2.6564)	Prec@1 38.500 (35.835)	Prec@5 69.500 (66.412)
Epoch: [6][2420/9018]	Time 0.597 (0.605)	Data 0.001 (0.002)	Loss 2.7642 (2.6566)	Prec@1 35.500 (35.834)	Prec@5 61.500 (66.407)
Epoch: [6][2430/9018]	Time 0.599 (0.605)	Data 0.001 (0.002)	Loss 2.5301 (2.6568)	Prec@1 36.500 (35.830)	Prec@5 66.000 (66.408)
Epoch: [6][2440/9018]	Time 0.599 (0.605)	Data 0.001 (0.002)	Loss 2.6788 (2.6568)	Prec@1 36.000 (35.828)	Prec@5 67.500 (66.409)
Epoch: [6][2450/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.7205 (2.6567)	Prec@1 36.000 (35.838)	Prec@5 60.500 (66.406)
Epoch: [6][2460/9018]	Time 0.591 (0.605)	Data 0.001 (0.002)	Loss 2.5788 (2.6570)	Prec@1 32.500 (35.835)	Prec@5 69.500 (66.402)
Epoch: [6][2470/9018]	Time 0.598 (0.605)	Data 0.001 (0.002)	Loss 2.4111 (2.6571)	Prec@1 39.000 (35.833)	Prec@5 71.500 (66.402)
Epoch: [6][2480/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.4350 (2.6571)	Prec@1 40.000 (35.832)	Prec@5 70.000 (66.405)
Epoch: [6][2490/9018]	Time 0.594 (0.605)	Data 0.001 (0.002)	Loss 2.6268 (2.6569)	Prec@1 33.500 (35.836)	Prec@5 67.000 (66.406)
Epoch: [6][2500/9018]	Time 0.591 (0.605)	Data 0.001 (0.002)	Loss 2.6611 (2.6568)	Prec@1 32.500 (35.840)	Prec@5 65.500 (66.406)
Epoch: [6][2510/9018]	Time 0.592 (0.605)	Data 0.001 (0.002)	Loss 2.6075 (2.6568)	Prec@1 35.500 (35.834)	Prec@5 64.500 (66.402)
Epoch: [6][2520/9018]	Time 0.596 (0.605)	Data 0.001 (0.002)	Loss 2.6331 (2.6568)	Prec@1 43.000 (35.842)	Prec@5 71.000 (66.403)
Epoch: [6][2530/9018]	Time 0.601 (0.605)	Data 0.001 (0.002)	Loss 2.4219 (2.6567)	Prec@1 39.000 (35.842)	Prec@5 68.500 (66.404)
Epoch: [6][2540/9018]	Time 0.597 (0.605)	Data 0.001 (0.002)	Loss 2.5417 (2.6568)	Prec@1 34.500 (35.843)	Prec@5 73.000 (66.406)
Epoch: [6][2550/9018]	Time 0.593 (0.605)	Data 0.001 (0.002)	Loss 2.6768 (2.6567)	Prec@1 34.000 (35.843)	Prec@5 63.000 (66.406)
Epoch: [6][2560/9018]	Time 0.592 (0.605)	Data 0.001 (0.002)	Loss 2.5985 (2.6568)	Prec@1 39.500 (35.842)	Prec@5 66.000 (66.405)
Epoch: [6][2570/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.5829 (2.6566)	Prec@1 35.500 (35.841)	Prec@5 70.000 (66.410)
Epoch: [6][2580/9018]	Time 0.603 (0.605)	Data 0.001 (0.002)	Loss 2.5121 (2.6567)	Prec@1 38.500 (35.838)	Prec@5 70.000 (66.411)
Epoch: [6][2590/9018]	Time 0.595 (0.605)	Data 0.001 (0.002)	Loss 2.6777 (2.6571)	Prec@1 37.500 (35.836)	Prec@5 66.000 (66.401)
Epoch: [6][2600/9018]	Time 0.609 (0.605)	Data 0.001 (0.002)	Loss 2.5260 (2.6574)	Prec@1 37.500 (35.832)	Prec@5 67.500 (66.394)
Epoch: [6][2610/9018]	Time 0.602 (0.605)	Data 0.001 (0.002)	Loss 2.7611 (2.6575)	Prec@1 36.000 (35.831)	Prec@5 65.000 (66.394)
Epoch: [6][2620/9018]	Time 0.600 (0.605)	Data 0.001 (0.002)	Loss 2.4660 (2.6575)	Prec@1 38.500 (35.835)	Prec@5 65.000 (66.392)
Epoch: [6][2630/9018]	Time 0.711 (0.605)	Data 0.001 (0.001)	Loss 2.4610 (2.6575)	Prec@1 43.000 (35.832)	Prec@5 68.500 (66.391)
Epoch: [6][2640/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.4130 (2.6573)	Prec@1 39.000 (35.835)	Prec@5 70.000 (66.398)
Epoch: [6][2650/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.8535 (2.6576)	Prec@1 30.500 (35.828)	Prec@5 64.500 (66.393)
Epoch: [6][2660/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.4956 (2.6575)	Prec@1 39.000 (35.830)	Prec@5 71.000 (66.393)
Epoch: [6][2670/9018]	Time 0.589 (0.605)	Data 0.001 (0.001)	Loss 2.9444 (2.6578)	Prec@1 35.500 (35.829)	Prec@5 60.000 (66.389)
Epoch: [6][2680/9018]	Time 0.708 (0.605)	Data 0.001 (0.001)	Loss 2.7630 (2.6579)	Prec@1 34.500 (35.825)	Prec@5 63.000 (66.386)
Epoch: [6][2690/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.5540 (2.6579)	Prec@1 31.500 (35.825)	Prec@5 68.500 (66.388)
Epoch: [6][2700/9018]	Time 0.586 (0.605)	Data 0.001 (0.001)	Loss 2.4332 (2.6577)	Prec@1 41.000 (35.829)	Prec@5 70.500 (66.392)
Epoch: [6][2710/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.6683 (2.6577)	Prec@1 36.500 (35.832)	Prec@5 68.500 (66.396)
Epoch: [6][2720/9018]	Time 0.587 (0.605)	Data 0.001 (0.001)	Loss 2.5501 (2.6574)	Prec@1 36.000 (35.836)	Prec@5 72.000 (66.404)
Epoch: [6][2730/9018]	Time 0.602 (0.605)	Data 0.001 (0.001)	Loss 2.6086 (2.6574)	Prec@1 38.000 (35.841)	Prec@5 69.500 (66.408)
Epoch: [6][2740/9018]	Time 0.591 (0.605)	Data 0.001 (0.001)	Loss 2.6543 (2.6574)	Prec@1 34.500 (35.841)	Prec@5 69.500 (66.406)
Epoch: [6][2750/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.6001 (2.6572)	Prec@1 40.500 (35.845)	Prec@5 65.500 (66.408)
Epoch: [6][2760/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.8521 (2.6571)	Prec@1 31.000 (35.849)	Prec@5 64.000 (66.414)
Epoch: [6][2770/9018]	Time 0.602 (0.605)	Data 0.001 (0.001)	Loss 2.8333 (2.6572)	Prec@1 37.500 (35.852)	Prec@5 62.500 (66.413)
Epoch: [6][2780/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.7226 (2.6573)	Prec@1 32.000 (35.850)	Prec@5 64.500 (66.411)
Epoch: [6][2790/9018]	Time 0.589 (0.605)	Data 0.001 (0.001)	Loss 2.4511 (2.6573)	Prec@1 40.000 (35.850)	Prec@5 72.000 (66.414)
Epoch: [6][2800/9018]	Time 0.606 (0.605)	Data 0.001 (0.001)	Loss 2.6845 (2.6572)	Prec@1 38.500 (35.856)	Prec@5 65.500 (66.417)
Epoch: [6][2810/9018]	Time 0.591 (0.605)	Data 0.001 (0.001)	Loss 2.6385 (2.6572)	Prec@1 36.000 (35.857)	Prec@5 66.500 (66.413)
Epoch: [6][2820/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.4914 (2.6573)	Prec@1 41.500 (35.862)	Prec@5 69.500 (66.411)
Epoch: [6][2830/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.5679 (2.6574)	Prec@1 35.000 (35.859)	Prec@5 68.000 (66.411)
Epoch: [6][2840/9018]	Time 0.595 (0.605)	Data 0.001 (0.001)	Loss 2.5581 (2.6575)	Prec@1 34.000 (35.857)	Prec@5 68.000 (66.408)
Epoch: [6][2850/9018]	Time 0.602 (0.605)	Data 0.001 (0.001)	Loss 2.6292 (2.6575)	Prec@1 34.500 (35.855)	Prec@5 67.000 (66.411)
Epoch: [6][2860/9018]	Time 0.593 (0.605)	Data 0.001 (0.001)	Loss 2.6654 (2.6577)	Prec@1 33.500 (35.851)	Prec@5 63.500 (66.407)
Epoch: [6][2870/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.5119 (2.6578)	Prec@1 40.000 (35.853)	Prec@5 73.500 (66.409)
Epoch: [6][2880/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.7818 (2.6579)	Prec@1 34.000 (35.853)	Prec@5 62.000 (66.406)
Epoch: [6][2890/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.7759 (2.6582)	Prec@1 36.500 (35.847)	Prec@5 64.500 (66.405)
Epoch: [6][2900/9018]	Time 0.595 (0.605)	Data 0.001 (0.001)	Loss 2.8050 (2.6581)	Prec@1 37.500 (35.850)	Prec@5 62.500 (66.407)
Epoch: [6][2910/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.6823 (2.6582)	Prec@1 38.000 (35.848)	Prec@5 67.500 (66.407)
Epoch: [6][2920/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.6393 (2.6581)	Prec@1 36.500 (35.850)	Prec@5 64.500 (66.409)
Epoch: [6][2930/9018]	Time 0.591 (0.605)	Data 0.001 (0.001)	Loss 2.6850 (2.6585)	Prec@1 35.500 (35.843)	Prec@5 64.500 (66.404)
Epoch: [6][2940/9018]	Time 0.604 (0.605)	Data 0.001 (0.001)	Loss 2.6565 (2.6581)	Prec@1 31.500 (35.842)	Prec@5 69.500 (66.415)
Epoch: [6][2950/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.6537 (2.6583)	Prec@1 39.000 (35.840)	Prec@5 66.000 (66.413)
Epoch: [6][2960/9018]	Time 0.708 (0.605)	Data 0.001 (0.001)	Loss 2.6120 (2.6583)	Prec@1 38.000 (35.840)	Prec@5 66.500 (66.411)
Epoch: [6][2970/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.6888 (2.6584)	Prec@1 35.000 (35.838)	Prec@5 65.500 (66.408)
Epoch: [6][2980/9018]	Time 0.603 (0.605)	Data 0.001 (0.001)	Loss 2.7325 (2.6583)	Prec@1 36.000 (35.838)	Prec@5 65.000 (66.407)
Epoch: [6][2990/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.8092 (2.6582)	Prec@1 32.500 (35.839)	Prec@5 64.500 (66.412)
Epoch: [6][3000/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.5624 (2.6583)	Prec@1 37.500 (35.838)	Prec@5 67.500 (66.411)
Epoch: [6][3010/9018]	Time 0.718 (0.605)	Data 0.001 (0.001)	Loss 2.7422 (2.6582)	Prec@1 33.000 (35.844)	Prec@5 65.000 (66.410)
Epoch: [6][3020/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.4061 (2.6581)	Prec@1 40.500 (35.846)	Prec@5 72.500 (66.414)
Epoch: [6][3030/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.7458 (2.6582)	Prec@1 35.500 (35.846)	Prec@5 63.500 (66.414)
Epoch: [6][3040/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.6246 (2.6582)	Prec@1 37.000 (35.847)	Prec@5 64.500 (66.414)
Epoch: [6][3050/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.7864 (2.6582)	Prec@1 33.500 (35.854)	Prec@5 63.000 (66.413)
Epoch: [6][3060/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.5637 (2.6585)	Prec@1 39.500 (35.849)	Prec@5 68.000 (66.406)
Epoch: [6][3070/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.4556 (2.6586)	Prec@1 41.000 (35.848)	Prec@5 69.000 (66.404)
Epoch: [6][3080/9018]	Time 0.604 (0.605)	Data 0.001 (0.001)	Loss 2.7446 (2.6585)	Prec@1 34.000 (35.849)	Prec@5 65.000 (66.401)
Epoch: [6][3090/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.6621 (2.6585)	Prec@1 36.000 (35.850)	Prec@5 67.000 (66.402)
Epoch: [6][3100/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.6018 (2.6582)	Prec@1 35.000 (35.856)	Prec@5 69.500 (66.404)
Epoch: [6][3110/9018]	Time 0.603 (0.605)	Data 0.001 (0.001)	Loss 2.6378 (2.6582)	Prec@1 38.500 (35.861)	Prec@5 66.500 (66.401)
Epoch: [6][3120/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.8092 (2.6582)	Prec@1 31.500 (35.858)	Prec@5 64.500 (66.403)
Epoch: [6][3130/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.7551 (2.6582)	Prec@1 32.500 (35.854)	Prec@5 66.000 (66.403)
Epoch: [6][3140/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.7414 (2.6584)	Prec@1 37.000 (35.852)	Prec@5 63.500 (66.400)
Epoch: [6][3150/9018]	Time 0.589 (0.605)	Data 0.001 (0.001)	Loss 2.5428 (2.6585)	Prec@1 39.500 (35.852)	Prec@5 67.000 (66.400)
Epoch: [6][3160/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.9193 (2.6585)	Prec@1 34.000 (35.853)	Prec@5 62.500 (66.403)
Epoch: [6][3170/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.7647 (2.6585)	Prec@1 34.000 (35.857)	Prec@5 64.000 (66.401)
Epoch: [6][3180/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.4589 (2.6586)	Prec@1 41.500 (35.856)	Prec@5 69.000 (66.398)
Epoch: [6][3190/9018]	Time 0.588 (0.605)	Data 0.001 (0.001)	Loss 2.7172 (2.6586)	Prec@1 32.000 (35.854)	Prec@5 61.500 (66.397)
Epoch: [6][3200/9018]	Time 0.605 (0.605)	Data 0.001 (0.001)	Loss 2.8009 (2.6587)	Prec@1 36.000 (35.854)	Prec@5 62.500 (66.392)
Epoch: [6][3210/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.4643 (2.6588)	Prec@1 40.000 (35.851)	Prec@5 72.000 (66.388)
Epoch: [6][3220/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.5173 (2.6589)	Prec@1 38.000 (35.849)	Prec@5 70.000 (66.390)
Epoch: [6][3230/9018]	Time 0.593 (0.605)	Data 0.001 (0.001)	Loss 2.6682 (2.6590)	Prec@1 36.000 (35.850)	Prec@5 68.000 (66.387)
Epoch: [6][3240/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.6580 (2.6590)	Prec@1 35.000 (35.850)	Prec@5 67.500 (66.391)
Epoch: [6][3250/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.6033 (2.6591)	Prec@1 39.500 (35.852)	Prec@5 69.000 (66.389)
Epoch: [6][3260/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.5890 (2.6590)	Prec@1 37.500 (35.852)	Prec@5 69.500 (66.393)
Epoch: [6][3270/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.8082 (2.6589)	Prec@1 32.500 (35.854)	Prec@5 68.500 (66.396)
Epoch: [6][3280/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.8059 (2.6592)	Prec@1 32.000 (35.852)	Prec@5 62.000 (66.389)
Epoch: [6][3290/9018]	Time 0.675 (0.605)	Data 0.001 (0.001)	Loss 2.6341 (2.6592)	Prec@1 33.000 (35.852)	Prec@5 68.000 (66.388)
Epoch: [6][3300/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.7981 (2.6591)	Prec@1 38.000 (35.861)	Prec@5 63.000 (66.389)
Epoch: [6][3310/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.5369 (2.6590)	Prec@1 39.500 (35.864)	Prec@5 66.000 (66.389)
Epoch: [6][3320/9018]	Time 0.602 (0.605)	Data 0.001 (0.001)	Loss 2.9118 (2.6590)	Prec@1 30.000 (35.861)	Prec@5 63.000 (66.392)
Epoch: [6][3330/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.6298 (2.6590)	Prec@1 36.000 (35.862)	Prec@5 64.000 (66.393)
Epoch: [6][3340/9018]	Time 0.690 (0.605)	Data 0.001 (0.001)	Loss 2.6076 (2.6590)	Prec@1 36.500 (35.861)	Prec@5 69.000 (66.394)
Epoch: [6][3350/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.8381 (2.6590)	Prec@1 29.500 (35.864)	Prec@5 62.500 (66.393)
Epoch: [6][3360/9018]	Time 0.595 (0.605)	Data 0.001 (0.001)	Loss 2.3522 (2.6588)	Prec@1 42.500 (35.869)	Prec@5 73.000 (66.397)
Epoch: [6][3370/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.5732 (2.6587)	Prec@1 35.500 (35.862)	Prec@5 72.000 (66.401)
Epoch: [6][3380/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.5882 (2.6587)	Prec@1 40.500 (35.860)	Prec@5 67.000 (66.402)
Epoch: [6][3390/9018]	Time 0.604 (0.605)	Data 0.001 (0.001)	Loss 2.5096 (2.6587)	Prec@1 39.000 (35.864)	Prec@5 66.000 (66.398)
Epoch: [6][3400/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.4786 (2.6587)	Prec@1 35.500 (35.864)	Prec@5 68.500 (66.396)
Epoch: [6][3410/9018]	Time 0.604 (0.605)	Data 0.001 (0.001)	Loss 2.5479 (2.6586)	Prec@1 35.000 (35.862)	Prec@5 71.500 (66.399)
Epoch: [6][3420/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.7751 (2.6585)	Prec@1 34.000 (35.864)	Prec@5 64.000 (66.398)
Epoch: [6][3430/9018]	Time 0.604 (0.605)	Data 0.001 (0.001)	Loss 2.6826 (2.6586)	Prec@1 31.500 (35.860)	Prec@5 67.500 (66.399)
Epoch: [6][3440/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.6073 (2.6585)	Prec@1 37.500 (35.860)	Prec@5 67.000 (66.401)
Epoch: [6][3450/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.4598 (2.6586)	Prec@1 38.000 (35.856)	Prec@5 69.500 (66.399)
Epoch: [6][3460/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.5861 (2.6588)	Prec@1 37.500 (35.855)	Prec@5 68.500 (66.393)
Epoch: [6][3470/9018]	Time 0.595 (0.605)	Data 0.001 (0.001)	Loss 2.7824 (2.6589)	Prec@1 35.000 (35.848)	Prec@5 65.000 (66.391)
Epoch: [6][3480/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.6159 (2.6589)	Prec@1 34.500 (35.849)	Prec@5 66.500 (66.395)
Epoch: [6][3490/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.9368 (2.6590)	Prec@1 30.000 (35.844)	Prec@5 63.000 (66.395)
Epoch: [6][3500/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.6645 (2.6591)	Prec@1 36.000 (35.844)	Prec@5 63.000 (66.390)
Epoch: [6][3510/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.7599 (2.6590)	Prec@1 38.000 (35.842)	Prec@5 64.000 (66.391)
Epoch: [6][3520/9018]	Time 0.604 (0.605)	Data 0.001 (0.001)	Loss 2.7073 (2.6590)	Prec@1 34.500 (35.840)	Prec@5 63.500 (66.388)
Epoch: [6][3530/9018]	Time 0.603 (0.605)	Data 0.001 (0.001)	Loss 2.6480 (2.6589)	Prec@1 37.500 (35.842)	Prec@5 63.000 (66.387)
Epoch: [6][3540/9018]	Time 0.602 (0.605)	Data 0.001 (0.001)	Loss 2.5159 (2.6590)	Prec@1 35.000 (35.837)	Prec@5 70.500 (66.386)
Epoch: [6][3550/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.5719 (2.6589)	Prec@1 35.500 (35.835)	Prec@5 69.500 (66.392)
Epoch: [6][3560/9018]	Time 0.590 (0.605)	Data 0.001 (0.001)	Loss 2.7085 (2.6588)	Prec@1 34.000 (35.840)	Prec@5 66.500 (66.395)
Epoch: [6][3570/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.6833 (2.6589)	Prec@1 35.000 (35.835)	Prec@5 65.500 (66.389)
Epoch: [6][3580/9018]	Time 0.595 (0.605)	Data 0.001 (0.001)	Loss 2.7327 (2.6590)	Prec@1 35.000 (35.831)	Prec@5 64.000 (66.387)
Epoch: [6][3590/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.7052 (2.6589)	Prec@1 37.000 (35.835)	Prec@5 64.000 (66.386)
Epoch: [6][3600/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.7304 (2.6588)	Prec@1 33.000 (35.839)	Prec@5 63.500 (66.389)
Epoch: [6][3610/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.3045 (2.6587)	Prec@1 45.500 (35.843)	Prec@5 72.500 (66.394)
Epoch: [6][3620/9018]	Time 0.722 (0.605)	Data 0.001 (0.001)	Loss 2.6005 (2.6587)	Prec@1 37.000 (35.845)	Prec@5 69.000 (66.394)
Epoch: [6][3630/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.8530 (2.6590)	Prec@1 30.500 (35.838)	Prec@5 60.000 (66.387)
Epoch: [6][3640/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.5584 (2.6591)	Prec@1 37.500 (35.841)	Prec@5 65.500 (66.386)
Epoch: [6][3650/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.7704 (2.6591)	Prec@1 32.000 (35.843)	Prec@5 66.000 (66.389)
Epoch: [6][3660/9018]	Time 0.595 (0.605)	Data 0.001 (0.001)	Loss 2.6189 (2.6590)	Prec@1 37.500 (35.848)	Prec@5 64.000 (66.389)
Epoch: [6][3670/9018]	Time 0.724 (0.605)	Data 0.001 (0.001)	Loss 2.6891 (2.6591)	Prec@1 35.000 (35.848)	Prec@5 65.500 (66.385)
Epoch: [6][3680/9018]	Time 0.591 (0.605)	Data 0.001 (0.001)	Loss 2.8315 (2.6589)	Prec@1 37.000 (35.850)	Prec@5 66.000 (66.388)
Epoch: [6][3690/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.4800 (2.6590)	Prec@1 38.500 (35.848)	Prec@5 68.500 (66.388)
Epoch: [6][3700/9018]	Time 0.605 (0.605)	Data 0.001 (0.001)	Loss 2.4936 (2.6590)	Prec@1 39.500 (35.850)	Prec@5 69.500 (66.386)
Epoch: [6][3710/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.5615 (2.6590)	Prec@1 40.500 (35.849)	Prec@5 67.000 (66.386)
Epoch: [6][3720/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.8312 (2.6592)	Prec@1 30.500 (35.844)	Prec@5 63.000 (66.382)
Epoch: [6][3730/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.7579 (2.6593)	Prec@1 33.000 (35.836)	Prec@5 64.500 (66.380)
Epoch: [6][3740/9018]	Time 0.593 (0.605)	Data 0.001 (0.001)	Loss 2.6642 (2.6594)	Prec@1 31.000 (35.835)	Prec@5 65.500 (66.378)
Epoch: [6][3750/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.9018 (2.6595)	Prec@1 30.500 (35.838)	Prec@5 66.000 (66.377)
Epoch: [6][3760/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.5834 (2.6596)	Prec@1 39.000 (35.834)	Prec@5 68.000 (66.376)
Epoch: [6][3770/9018]	Time 0.603 (0.605)	Data 0.001 (0.001)	Loss 2.6069 (2.6596)	Prec@1 41.500 (35.836)	Prec@5 67.500 (66.381)
Epoch: [6][3780/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.6776 (2.6596)	Prec@1 40.000 (35.837)	Prec@5 64.500 (66.379)
Epoch: [6][3790/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.6421 (2.6597)	Prec@1 32.500 (35.832)	Prec@5 64.000 (66.379)
Epoch: [6][3800/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.7078 (2.6596)	Prec@1 38.500 (35.835)	Prec@5 65.500 (66.380)
Epoch: [6][3810/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.6114 (2.6596)	Prec@1 38.000 (35.834)	Prec@5 71.500 (66.382)
Epoch: [6][3820/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.6653 (2.6596)	Prec@1 37.000 (35.836)	Prec@5 66.000 (66.379)
Epoch: [6][3830/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.5426 (2.6596)	Prec@1 37.500 (35.836)	Prec@5 73.000 (66.383)
Epoch: [6][3840/9018]	Time 0.602 (0.605)	Data 0.001 (0.001)	Loss 2.7585 (2.6596)	Prec@1 36.000 (35.832)	Prec@5 63.000 (66.381)
Epoch: [6][3850/9018]	Time 0.591 (0.605)	Data 0.001 (0.001)	Loss 2.5847 (2.6597)	Prec@1 42.000 (35.834)	Prec@5 66.000 (66.381)
Epoch: [6][3860/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.4338 (2.6596)	Prec@1 39.000 (35.834)	Prec@5 74.000 (66.383)
Epoch: [6][3870/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.5888 (2.6595)	Prec@1 33.500 (35.832)	Prec@5 64.500 (66.384)
Epoch: [6][3880/9018]	Time 0.603 (0.605)	Data 0.001 (0.001)	Loss 2.6589 (2.6595)	Prec@1 30.500 (35.832)	Prec@5 64.500 (66.386)
Epoch: [6][3890/9018]	Time 0.603 (0.605)	Data 0.001 (0.001)	Loss 2.7946 (2.6595)	Prec@1 33.500 (35.832)	Prec@5 64.000 (66.385)
Epoch: [6][3900/9018]	Time 0.595 (0.604)	Data 0.001 (0.001)	Loss 3.0272 (2.6597)	Prec@1 25.500 (35.826)	Prec@5 66.000 (66.381)
Epoch: [6][3910/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.5791 (2.6597)	Prec@1 35.500 (35.826)	Prec@5 70.500 (66.382)
Epoch: [6][3920/9018]	Time 0.603 (0.605)	Data 0.001 (0.001)	Loss 2.7302 (2.6597)	Prec@1 35.500 (35.828)	Prec@5 64.500 (66.381)
Epoch: [6][3930/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.7117 (2.6598)	Prec@1 32.500 (35.825)	Prec@5 63.500 (66.380)
Epoch: [6][3940/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.7231 (2.6598)	Prec@1 39.000 (35.827)	Prec@5 66.500 (66.380)
Epoch: [6][3950/9018]	Time 0.708 (0.605)	Data 0.001 (0.001)	Loss 2.6791 (2.6596)	Prec@1 33.000 (35.829)	Prec@5 63.500 (66.383)
Epoch: [6][3960/9018]	Time 0.593 (0.605)	Data 0.001 (0.001)	Loss 2.8362 (2.6596)	Prec@1 34.500 (35.829)	Prec@5 62.000 (66.384)
Epoch: [6][3970/9018]	Time 0.603 (0.605)	Data 0.001 (0.001)	Loss 2.6749 (2.6597)	Prec@1 38.500 (35.829)	Prec@5 63.500 (66.378)
Epoch: [6][3980/9018]	Time 0.588 (0.604)	Data 0.001 (0.001)	Loss 2.6096 (2.6595)	Prec@1 32.500 (35.834)	Prec@5 65.500 (66.382)
Epoch: [6][3990/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.7853 (2.6594)	Prec@1 32.000 (35.835)	Prec@5 63.500 (66.384)
Epoch: [6][4000/9018]	Time 0.728 (0.605)	Data 0.001 (0.001)	Loss 2.5879 (2.6594)	Prec@1 36.000 (35.838)	Prec@5 70.500 (66.383)
Epoch: [6][4010/9018]	Time 0.593 (0.605)	Data 0.001 (0.001)	Loss 2.6514 (2.6593)	Prec@1 35.500 (35.839)	Prec@5 67.000 (66.385)
Epoch: [6][4020/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.4726 (2.6591)	Prec@1 37.000 (35.842)	Prec@5 72.000 (66.391)
Epoch: [6][4030/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.5488 (2.6589)	Prec@1 36.000 (35.846)	Prec@5 66.500 (66.393)
Epoch: [6][4040/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.5107 (2.6588)	Prec@1 34.500 (35.846)	Prec@5 68.500 (66.396)
Epoch: [6][4050/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.8294 (2.6590)	Prec@1 31.000 (35.839)	Prec@5 64.500 (66.394)
Epoch: [6][4060/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.7934 (2.6592)	Prec@1 32.500 (35.831)	Prec@5 63.000 (66.389)
Epoch: [6][4070/9018]	Time 0.591 (0.605)	Data 0.001 (0.001)	Loss 2.8020 (2.6593)	Prec@1 34.000 (35.831)	Prec@5 62.500 (66.384)
Epoch: [6][4080/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.8270 (2.6594)	Prec@1 33.500 (35.828)	Prec@5 64.500 (66.382)
Epoch: [6][4090/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.6829 (2.6594)	Prec@1 36.500 (35.826)	Prec@5 64.500 (66.384)
Epoch: [6][4100/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.4197 (2.6592)	Prec@1 40.500 (35.825)	Prec@5 70.500 (66.388)
Epoch: [6][4110/9018]	Time 0.606 (0.605)	Data 0.001 (0.001)	Loss 2.3910 (2.6590)	Prec@1 39.500 (35.829)	Prec@5 69.500 (66.394)
Epoch: [6][4120/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.4014 (2.6588)	Prec@1 39.500 (35.832)	Prec@5 75.500 (66.400)
Epoch: [6][4130/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.6780 (2.6589)	Prec@1 32.500 (35.826)	Prec@5 68.500 (66.400)
Epoch: [6][4140/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.3841 (2.6589)	Prec@1 39.500 (35.824)	Prec@5 72.500 (66.403)
Epoch: [6][4150/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.4908 (2.6588)	Prec@1 38.500 (35.826)	Prec@5 73.000 (66.405)
Epoch: [6][4160/9018]	Time 0.591 (0.605)	Data 0.001 (0.001)	Loss 2.7584 (2.6589)	Prec@1 32.500 (35.825)	Prec@5 60.500 (66.401)
Epoch: [6][4170/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.7761 (2.6588)	Prec@1 31.500 (35.826)	Prec@5 68.500 (66.406)
Epoch: [6][4180/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.6688 (2.6587)	Prec@1 39.000 (35.825)	Prec@5 66.000 (66.407)
Epoch: [6][4190/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.6980 (2.6588)	Prec@1 37.500 (35.823)	Prec@5 64.500 (66.402)
Epoch: [6][4200/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.6459 (2.6588)	Prec@1 40.000 (35.822)	Prec@5 67.000 (66.405)
Epoch: [6][4210/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.7125 (2.6587)	Prec@1 34.500 (35.821)	Prec@5 64.500 (66.407)
Epoch: [6][4220/9018]	Time 0.595 (0.605)	Data 0.001 (0.001)	Loss 2.8826 (2.6588)	Prec@1 31.500 (35.820)	Prec@5 63.000 (66.406)
Epoch: [6][4230/9018]	Time 0.591 (0.605)	Data 0.001 (0.001)	Loss 2.6392 (2.6587)	Prec@1 33.000 (35.822)	Prec@5 65.500 (66.408)
Epoch: [6][4240/9018]	Time 0.590 (0.605)	Data 0.001 (0.001)	Loss 2.7646 (2.6587)	Prec@1 30.000 (35.821)	Prec@5 64.500 (66.408)
Epoch: [6][4250/9018]	Time 0.591 (0.605)	Data 0.001 (0.001)	Loss 2.6515 (2.6590)	Prec@1 36.000 (35.817)	Prec@5 70.500 (66.403)
Epoch: [6][4260/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.9032 (2.6589)	Prec@1 31.500 (35.819)	Prec@5 63.500 (66.404)
Epoch: [6][4270/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.7003 (2.6591)	Prec@1 33.500 (35.821)	Prec@5 62.500 (66.400)
Epoch: [6][4280/9018]	Time 0.706 (0.605)	Data 0.001 (0.001)	Loss 2.6441 (2.6590)	Prec@1 40.500 (35.825)	Prec@5 67.000 (66.400)
Epoch: [6][4290/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.7296 (2.6590)	Prec@1 33.000 (35.823)	Prec@5 64.500 (66.401)
Epoch: [6][4300/9018]	Time 0.593 (0.605)	Data 0.001 (0.001)	Loss 2.8054 (2.6591)	Prec@1 36.000 (35.821)	Prec@5 68.000 (66.399)
Epoch: [6][4310/9018]	Time 0.593 (0.605)	Data 0.001 (0.001)	Loss 2.7082 (2.6594)	Prec@1 39.000 (35.818)	Prec@5 66.000 (66.396)
Epoch: [6][4320/9018]	Time 0.593 (0.605)	Data 0.001 (0.001)	Loss 2.7250 (2.6593)	Prec@1 36.500 (35.821)	Prec@5 63.000 (66.398)
Epoch: [6][4330/9018]	Time 0.713 (0.605)	Data 0.001 (0.001)	Loss 2.7742 (2.6594)	Prec@1 34.500 (35.820)	Prec@5 65.000 (66.395)
Epoch: [6][4340/9018]	Time 0.602 (0.605)	Data 0.001 (0.001)	Loss 2.6861 (2.6593)	Prec@1 37.500 (35.823)	Prec@5 66.000 (66.399)
Epoch: [6][4350/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.8857 (2.6593)	Prec@1 29.500 (35.825)	Prec@5 61.500 (66.399)
Epoch: [6][4360/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.7570 (2.6594)	Prec@1 36.000 (35.822)	Prec@5 62.000 (66.396)
Epoch: [6][4370/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.7486 (2.6595)	Prec@1 38.000 (35.821)	Prec@5 63.500 (66.394)
Epoch: [6][4380/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.6282 (2.6597)	Prec@1 34.000 (35.819)	Prec@5 69.000 (66.392)
Epoch: [6][4390/9018]	Time 0.591 (0.605)	Data 0.001 (0.001)	Loss 2.3861 (2.6596)	Prec@1 43.500 (35.821)	Prec@5 71.500 (66.393)
Epoch: [6][4400/9018]	Time 0.591 (0.605)	Data 0.001 (0.001)	Loss 2.5175 (2.6595)	Prec@1 42.000 (35.824)	Prec@5 69.000 (66.392)
Epoch: [6][4410/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.4608 (2.6595)	Prec@1 41.500 (35.826)	Prec@5 71.500 (66.392)
Epoch: [6][4420/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.6186 (2.6595)	Prec@1 39.500 (35.825)	Prec@5 65.500 (66.393)
Epoch: [6][4430/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.5880 (2.6593)	Prec@1 39.500 (35.828)	Prec@5 64.500 (66.394)
Epoch: [6][4440/9018]	Time 0.606 (0.605)	Data 0.001 (0.001)	Loss 2.5561 (2.6592)	Prec@1 39.500 (35.832)	Prec@5 66.500 (66.395)
Epoch: [6][4450/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.6341 (2.6593)	Prec@1 35.000 (35.833)	Prec@5 67.000 (66.396)
Epoch: [6][4460/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.7576 (2.6592)	Prec@1 32.500 (35.832)	Prec@5 64.000 (66.394)
Epoch: [6][4470/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.8482 (2.6593)	Prec@1 32.000 (35.833)	Prec@5 63.500 (66.394)
Epoch: [6][4480/9018]	Time 0.595 (0.605)	Data 0.001 (0.001)	Loss 2.6844 (2.6593)	Prec@1 35.500 (35.834)	Prec@5 66.000 (66.395)
Epoch: [6][4490/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.5739 (2.6592)	Prec@1 37.500 (35.835)	Prec@5 66.000 (66.397)
Epoch: [6][4500/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.6274 (2.6591)	Prec@1 36.000 (35.837)	Prec@5 67.000 (66.397)
Epoch: [6][4510/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.6665 (2.6591)	Prec@1 37.000 (35.837)	Prec@5 69.000 (66.398)
Epoch: [6][4520/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.6678 (2.6593)	Prec@1 34.000 (35.835)	Prec@5 62.500 (66.397)
Epoch: [6][4530/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.7339 (2.6594)	Prec@1 30.500 (35.828)	Prec@5 65.500 (66.396)
Epoch: [6][4540/9018]	Time 0.595 (0.605)	Data 0.001 (0.001)	Loss 2.4841 (2.6593)	Prec@1 42.000 (35.832)	Prec@5 70.500 (66.398)
Epoch: [6][4550/9018]	Time 0.593 (0.605)	Data 0.001 (0.001)	Loss 2.6165 (2.6592)	Prec@1 39.000 (35.836)	Prec@5 71.000 (66.402)
Epoch: [6][4560/9018]	Time 0.601 (0.604)	Data 0.001 (0.001)	Loss 2.4068 (2.6591)	Prec@1 36.500 (35.838)	Prec@5 68.000 (66.405)
Epoch: [6][4570/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.7830 (2.6592)	Prec@1 34.000 (35.839)	Prec@5 61.000 (66.404)
Epoch: [6][4580/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.6767 (2.6591)	Prec@1 34.500 (35.841)	Prec@5 63.500 (66.406)
Epoch: [6][4590/9018]	Time 0.591 (0.604)	Data 0.001 (0.001)	Loss 2.6900 (2.6592)	Prec@1 36.500 (35.838)	Prec@5 69.000 (66.405)
Epoch: [6][4600/9018]	Time 0.600 (0.604)	Data 0.001 (0.001)	Loss 2.5205 (2.6593)	Prec@1 33.500 (35.838)	Prec@5 68.000 (66.403)
Epoch: [6][4610/9018]	Time 0.688 (0.604)	Data 0.001 (0.001)	Loss 2.5334 (2.6591)	Prec@1 39.000 (35.839)	Prec@5 72.000 (66.408)
Epoch: [6][4620/9018]	Time 0.599 (0.604)	Data 0.001 (0.001)	Loss 2.6977 (2.6591)	Prec@1 37.000 (35.839)	Prec@5 62.000 (66.407)
Epoch: [6][4630/9018]	Time 0.605 (0.605)	Data 0.001 (0.001)	Loss 2.4602 (2.6591)	Prec@1 39.500 (35.837)	Prec@5 68.000 (66.404)
Epoch: [6][4640/9018]	Time 0.598 (0.604)	Data 0.001 (0.001)	Loss 2.4539 (2.6592)	Prec@1 38.000 (35.840)	Prec@5 70.500 (66.403)
Epoch: [6][4650/9018]	Time 0.593 (0.604)	Data 0.001 (0.001)	Loss 2.5956 (2.6592)	Prec@1 36.500 (35.841)	Prec@5 69.500 (66.403)
Epoch: [6][4660/9018]	Time 0.683 (0.604)	Data 0.001 (0.001)	Loss 2.6084 (2.6593)	Prec@1 34.000 (35.840)	Prec@5 63.500 (66.401)
Epoch: [6][4670/9018]	Time 0.592 (0.604)	Data 0.001 (0.001)	Loss 2.7436 (2.6594)	Prec@1 37.000 (35.834)	Prec@5 62.500 (66.396)
Epoch: [6][4680/9018]	Time 0.601 (0.604)	Data 0.001 (0.001)	Loss 2.6676 (2.6595)	Prec@1 38.500 (35.834)	Prec@5 66.500 (66.394)
Epoch: [6][4690/9018]	Time 0.611 (0.604)	Data 0.001 (0.001)	Loss 2.6696 (2.6595)	Prec@1 38.000 (35.833)	Prec@5 66.500 (66.394)
Epoch: [6][4700/9018]	Time 0.595 (0.604)	Data 0.001 (0.001)	Loss 2.5050 (2.6595)	Prec@1 33.000 (35.828)	Prec@5 69.000 (66.394)
Epoch: [6][4710/9018]	Time 0.600 (0.604)	Data 0.001 (0.001)	Loss 2.6722 (2.6593)	Prec@1 34.500 (35.832)	Prec@5 68.000 (66.396)
Epoch: [6][4720/9018]	Time 0.599 (0.604)	Data 0.001 (0.001)	Loss 2.5798 (2.6594)	Prec@1 38.500 (35.830)	Prec@5 68.000 (66.396)
Epoch: [6][4730/9018]	Time 0.603 (0.604)	Data 0.001 (0.001)	Loss 2.5394 (2.6595)	Prec@1 39.500 (35.828)	Prec@5 70.500 (66.397)
Epoch: [6][4740/9018]	Time 0.604 (0.604)	Data 0.001 (0.001)	Loss 2.7692 (2.6594)	Prec@1 26.500 (35.826)	Prec@5 66.500 (66.397)
Epoch: [6][4750/9018]	Time 0.597 (0.604)	Data 0.001 (0.001)	Loss 2.6950 (2.6591)	Prec@1 30.000 (35.831)	Prec@5 67.500 (66.403)
Epoch: [6][4760/9018]	Time 0.600 (0.604)	Data 0.001 (0.001)	Loss 2.6725 (2.6591)	Prec@1 38.500 (35.832)	Prec@5 65.000 (66.406)
Epoch: [6][4770/9018]	Time 0.598 (0.604)	Data 0.001 (0.001)	Loss 2.7684 (2.6592)	Prec@1 39.500 (35.828)	Prec@5 62.500 (66.401)
Epoch: [6][4780/9018]	Time 0.590 (0.604)	Data 0.001 (0.001)	Loss 2.8178 (2.6593)	Prec@1 32.500 (35.827)	Prec@5 67.000 (66.400)
Epoch: [6][4790/9018]	Time 0.600 (0.604)	Data 0.001 (0.001)	Loss 2.5391 (2.6593)	Prec@1 37.500 (35.824)	Prec@5 66.000 (66.401)
Epoch: [6][4800/9018]	Time 0.593 (0.604)	Data 0.001 (0.001)	Loss 2.6868 (2.6591)	Prec@1 39.000 (35.829)	Prec@5 64.000 (66.405)
Epoch: [6][4810/9018]	Time 0.600 (0.604)	Data 0.001 (0.001)	Loss 2.7273 (2.6591)	Prec@1 34.000 (35.830)	Prec@5 67.500 (66.405)
Epoch: [6][4820/9018]	Time 0.593 (0.604)	Data 0.001 (0.001)	Loss 2.5660 (2.6590)	Prec@1 39.000 (35.833)	Prec@5 67.000 (66.407)
Epoch: [6][4830/9018]	Time 0.603 (0.604)	Data 0.001 (0.001)	Loss 2.5873 (2.6589)	Prec@1 35.000 (35.834)	Prec@5 64.500 (66.407)
Epoch: [6][4840/9018]	Time 0.603 (0.604)	Data 0.001 (0.001)	Loss 2.4534 (2.6591)	Prec@1 41.000 (35.834)	Prec@5 71.500 (66.402)
Epoch: [6][4850/9018]	Time 0.603 (0.604)	Data 0.001 (0.001)	Loss 2.4081 (2.6590)	Prec@1 42.500 (35.838)	Prec@5 75.500 (66.405)
Epoch: [6][4860/9018]	Time 0.607 (0.604)	Data 0.001 (0.001)	Loss 2.6469 (2.6590)	Prec@1 36.000 (35.836)	Prec@5 70.500 (66.406)
Epoch: [6][4870/9018]	Time 0.591 (0.604)	Data 0.001 (0.001)	Loss 2.6233 (2.6590)	Prec@1 36.500 (35.835)	Prec@5 68.500 (66.408)
Epoch: [6][4880/9018]	Time 0.604 (0.604)	Data 0.001 (0.001)	Loss 2.9160 (2.6591)	Prec@1 34.500 (35.832)	Prec@5 62.500 (66.406)
Epoch: [6][4890/9018]	Time 0.598 (0.604)	Data 0.001 (0.001)	Loss 2.6349 (2.6592)	Prec@1 35.000 (35.828)	Prec@5 66.500 (66.405)
Epoch: [6][4900/9018]	Time 0.595 (0.604)	Data 0.001 (0.001)	Loss 2.7025 (2.6593)	Prec@1 35.500 (35.826)	Prec@5 64.500 (66.403)
Epoch: [6][4910/9018]	Time 0.594 (0.604)	Data 0.001 (0.001)	Loss 2.6703 (2.6592)	Prec@1 34.500 (35.829)	Prec@5 67.500 (66.406)
Epoch: [6][4920/9018]	Time 0.596 (0.604)	Data 0.001 (0.001)	Loss 2.3043 (2.6591)	Prec@1 41.000 (35.828)	Prec@5 71.500 (66.408)
Epoch: [6][4930/9018]	Time 0.597 (0.604)	Data 0.001 (0.001)	Loss 2.6561 (2.6593)	Prec@1 32.500 (35.827)	Prec@5 66.500 (66.404)
Epoch: [6][4940/9018]	Time 0.710 (0.604)	Data 0.001 (0.001)	Loss 2.4867 (2.6592)	Prec@1 35.500 (35.826)	Prec@5 68.000 (66.404)
Epoch: [6][4950/9018]	Time 0.594 (0.604)	Data 0.001 (0.001)	Loss 2.6610 (2.6592)	Prec@1 30.000 (35.823)	Prec@5 69.500 (66.404)
Epoch: [6][4960/9018]	Time 0.594 (0.604)	Data 0.001 (0.001)	Loss 2.4716 (2.6592)	Prec@1 38.500 (35.823)	Prec@5 73.500 (66.406)
Epoch: [6][4970/9018]	Time 0.597 (0.604)	Data 0.001 (0.001)	Loss 2.6965 (2.6592)	Prec@1 32.000 (35.823)	Prec@5 64.500 (66.405)
Epoch: [6][4980/9018]	Time 0.595 (0.604)	Data 0.001 (0.001)	Loss 2.4180 (2.6591)	Prec@1 38.500 (35.826)	Prec@5 69.000 (66.406)
Epoch: [6][4990/9018]	Time 0.683 (0.604)	Data 0.001 (0.001)	Loss 2.7553 (2.6590)	Prec@1 31.000 (35.829)	Prec@5 64.500 (66.409)
Epoch: [6][5000/9018]	Time 0.602 (0.604)	Data 0.001 (0.001)	Loss 2.6314 (2.6589)	Prec@1 34.500 (35.830)	Prec@5 67.500 (66.411)
Epoch: [6][5010/9018]	Time 0.603 (0.604)	Data 0.001 (0.001)	Loss 2.7025 (2.6591)	Prec@1 34.500 (35.827)	Prec@5 67.000 (66.409)
Epoch: [6][5020/9018]	Time 0.601 (0.604)	Data 0.001 (0.001)	Loss 2.9394 (2.6590)	Prec@1 32.000 (35.827)	Prec@5 60.500 (66.410)
Epoch: [6][5030/9018]	Time 0.589 (0.604)	Data 0.001 (0.001)	Loss 2.4802 (2.6590)	Prec@1 40.000 (35.828)	Prec@5 67.500 (66.410)
Epoch: [6][5040/9018]	Time 0.604 (0.604)	Data 0.001 (0.001)	Loss 2.6384 (2.6591)	Prec@1 38.500 (35.824)	Prec@5 68.500 (66.410)
Epoch: [6][5050/9018]	Time 0.591 (0.604)	Data 0.001 (0.001)	Loss 2.5406 (2.6589)	Prec@1 34.000 (35.825)	Prec@5 65.500 (66.413)
Epoch: [6][5060/9018]	Time 0.596 (0.604)	Data 0.001 (0.001)	Loss 2.7961 (2.6589)	Prec@1 32.000 (35.826)	Prec@5 63.000 (66.414)
Epoch: [6][5070/9018]	Time 0.603 (0.604)	Data 0.001 (0.001)	Loss 2.6804 (2.6589)	Prec@1 34.500 (35.826)	Prec@5 64.500 (66.413)
Epoch: [6][5080/9018]	Time 0.596 (0.604)	Data 0.001 (0.001)	Loss 2.5454 (2.6589)	Prec@1 32.500 (35.824)	Prec@5 68.500 (66.414)
Epoch: [6][5090/9018]	Time 0.594 (0.604)	Data 0.001 (0.001)	Loss 2.7342 (2.6588)	Prec@1 36.500 (35.826)	Prec@5 64.500 (66.413)
Epoch: [6][5100/9018]	Time 0.593 (0.604)	Data 0.001 (0.001)	Loss 2.6523 (2.6590)	Prec@1 34.000 (35.822)	Prec@5 66.000 (66.409)
Epoch: [6][5110/9018]	Time 0.601 (0.604)	Data 0.001 (0.001)	Loss 2.5572 (2.6590)	Prec@1 33.000 (35.823)	Prec@5 66.500 (66.409)
Epoch: [6][5120/9018]	Time 0.601 (0.604)	Data 0.001 (0.001)	Loss 2.8160 (2.6591)	Prec@1 37.500 (35.819)	Prec@5 63.000 (66.407)
Epoch: [6][5130/9018]	Time 0.598 (0.604)	Data 0.001 (0.001)	Loss 2.5176 (2.6592)	Prec@1 38.500 (35.818)	Prec@5 70.500 (66.407)
Epoch: [6][5140/9018]	Time 0.593 (0.604)	Data 0.001 (0.001)	Loss 2.6768 (2.6593)	Prec@1 36.500 (35.816)	Prec@5 66.500 (66.405)
Epoch: [6][5150/9018]	Time 0.601 (0.604)	Data 0.001 (0.001)	Loss 2.5361 (2.6592)	Prec@1 40.000 (35.816)	Prec@5 67.000 (66.408)
Epoch: [6][5160/9018]	Time 0.591 (0.604)	Data 0.001 (0.001)	Loss 2.4480 (2.6592)	Prec@1 42.000 (35.817)	Prec@5 71.000 (66.408)
Epoch: [6][5170/9018]	Time 0.600 (0.604)	Data 0.001 (0.001)	Loss 2.4689 (2.6592)	Prec@1 41.000 (35.816)	Prec@5 68.000 (66.408)
Epoch: [6][5180/9018]	Time 0.596 (0.604)	Data 0.001 (0.001)	Loss 2.5488 (2.6591)	Prec@1 39.500 (35.819)	Prec@5 69.500 (66.411)
Epoch: [6][5190/9018]	Time 0.591 (0.604)	Data 0.001 (0.001)	Loss 2.7532 (2.6590)	Prec@1 35.500 (35.821)	Prec@5 65.000 (66.413)
Epoch: [6][5200/9018]	Time 0.592 (0.604)	Data 0.001 (0.001)	Loss 2.4231 (2.6589)	Prec@1 43.000 (35.823)	Prec@5 71.000 (66.416)
Epoch: [6][5210/9018]	Time 0.594 (0.604)	Data 0.001 (0.001)	Loss 2.4576 (2.6587)	Prec@1 41.500 (35.825)	Prec@5 71.500 (66.419)
Epoch: [6][5220/9018]	Time 0.602 (0.604)	Data 0.001 (0.001)	Loss 2.6757 (2.6588)	Prec@1 34.500 (35.826)	Prec@5 63.500 (66.418)
Epoch: [6][5230/9018]	Time 0.587 (0.604)	Data 0.001 (0.001)	Loss 2.7030 (2.6588)	Prec@1 33.500 (35.826)	Prec@5 66.500 (66.418)
Epoch: [6][5240/9018]	Time 0.592 (0.604)	Data 0.001 (0.001)	Loss 2.6498 (2.6587)	Prec@1 35.000 (35.829)	Prec@5 65.000 (66.418)
Epoch: [6][5250/9018]	Time 0.595 (0.604)	Data 0.001 (0.001)	Loss 2.8565 (2.6588)	Prec@1 32.500 (35.825)	Prec@5 62.000 (66.414)
Epoch: [6][5260/9018]	Time 0.593 (0.604)	Data 0.001 (0.001)	Loss 2.4946 (2.6589)	Prec@1 38.000 (35.824)	Prec@5 69.500 (66.413)
Epoch: [6][5270/9018]	Time 0.717 (0.604)	Data 0.001 (0.001)	Loss 2.4430 (2.6589)	Prec@1 41.500 (35.823)	Prec@5 71.000 (66.414)
Epoch: [6][5280/9018]	Time 0.601 (0.604)	Data 0.001 (0.001)	Loss 2.7605 (2.6588)	Prec@1 37.500 (35.824)	Prec@5 65.000 (66.416)
Epoch: [6][5290/9018]	Time 0.600 (0.604)	Data 0.001 (0.001)	Loss 2.6801 (2.6588)	Prec@1 36.500 (35.824)	Prec@5 66.500 (66.416)
Epoch: [6][5300/9018]	Time 0.596 (0.604)	Data 0.001 (0.001)	Loss 2.7578 (2.6588)	Prec@1 34.000 (35.822)	Prec@5 67.000 (66.416)
Epoch: [6][5310/9018]	Time 0.597 (0.604)	Data 0.001 (0.001)	Loss 2.7090 (2.6588)	Prec@1 34.000 (35.819)	Prec@5 66.500 (66.416)
Epoch: [6][5320/9018]	Time 0.704 (0.604)	Data 0.001 (0.001)	Loss 2.5486 (2.6588)	Prec@1 41.500 (35.820)	Prec@5 63.000 (66.417)
Epoch: [6][5330/9018]	Time 0.593 (0.604)	Data 0.001 (0.001)	Loss 2.8937 (2.6591)	Prec@1 32.000 (35.819)	Prec@5 64.500 (66.412)
Epoch: [6][5340/9018]	Time 0.591 (0.604)	Data 0.001 (0.001)	Loss 2.5153 (2.6590)	Prec@1 35.500 (35.819)	Prec@5 71.000 (66.417)
Epoch: [6][5350/9018]	Time 0.604 (0.604)	Data 0.001 (0.001)	Loss 2.7371 (2.6590)	Prec@1 37.500 (35.819)	Prec@5 64.000 (66.417)
Epoch: [6][5360/9018]	Time 0.595 (0.604)	Data 0.001 (0.001)	Loss 2.9129 (2.6591)	Prec@1 28.000 (35.817)	Prec@5 61.500 (66.412)
Epoch: [6][5370/9018]	Time 0.603 (0.604)	Data 0.001 (0.001)	Loss 2.2866 (2.6590)	Prec@1 47.000 (35.818)	Prec@5 75.000 (66.414)
Epoch: [6][5380/9018]	Time 0.603 (0.604)	Data 0.001 (0.001)	Loss 2.4924 (2.6589)	Prec@1 36.000 (35.820)	Prec@5 71.500 (66.416)
Epoch: [6][5390/9018]	Time 0.599 (0.604)	Data 0.001 (0.001)	Loss 2.6007 (2.6588)	Prec@1 39.500 (35.824)	Prec@5 68.000 (66.418)
Epoch: [6][5400/9018]	Time 0.603 (0.604)	Data 0.001 (0.001)	Loss 2.6041 (2.6588)	Prec@1 35.500 (35.822)	Prec@5 66.500 (66.416)
Epoch: [6][5410/9018]	Time 0.593 (0.604)	Data 0.001 (0.001)	Loss 2.4592 (2.6588)	Prec@1 38.000 (35.824)	Prec@5 70.000 (66.418)
Epoch: [6][5420/9018]	Time 0.594 (0.604)	Data 0.001 (0.001)	Loss 2.6842 (2.6587)	Prec@1 37.500 (35.825)	Prec@5 62.000 (66.418)
Epoch: [6][5430/9018]	Time 0.599 (0.604)	Data 0.001 (0.001)	Loss 2.5431 (2.6586)	Prec@1 41.000 (35.825)	Prec@5 66.000 (66.417)
Epoch: [6][5440/9018]	Time 0.601 (0.604)	Data 0.001 (0.001)	Loss 2.6558 (2.6585)	Prec@1 36.000 (35.828)	Prec@5 64.500 (66.418)
Epoch: [6][5450/9018]	Time 0.589 (0.604)	Data 0.001 (0.001)	Loss 2.6627 (2.6585)	Prec@1 34.000 (35.827)	Prec@5 65.000 (66.417)
Epoch: [6][5460/9018]	Time 0.596 (0.604)	Data 0.001 (0.001)	Loss 2.5771 (2.6585)	Prec@1 37.000 (35.828)	Prec@5 66.500 (66.420)
Epoch: [6][5470/9018]	Time 0.599 (0.604)	Data 0.001 (0.001)	Loss 2.7544 (2.6586)	Prec@1 32.000 (35.824)	Prec@5 64.500 (66.416)
Epoch: [6][5480/9018]	Time 0.595 (0.604)	Data 0.001 (0.001)	Loss 2.7598 (2.6586)	Prec@1 34.000 (35.823)	Prec@5 67.500 (66.415)
Epoch: [6][5490/9018]	Time 0.597 (0.604)	Data 0.001 (0.001)	Loss 2.6211 (2.6587)	Prec@1 36.500 (35.823)	Prec@5 69.500 (66.412)
Epoch: [6][5500/9018]	Time 0.598 (0.604)	Data 0.001 (0.001)	Loss 2.5976 (2.6586)	Prec@1 35.500 (35.823)	Prec@5 68.000 (66.413)
Epoch: [6][5510/9018]	Time 0.590 (0.604)	Data 0.001 (0.001)	Loss 2.6742 (2.6587)	Prec@1 37.000 (35.822)	Prec@5 63.500 (66.411)
Epoch: [6][5520/9018]	Time 0.596 (0.604)	Data 0.001 (0.001)	Loss 2.4042 (2.6587)	Prec@1 40.000 (35.822)	Prec@5 69.000 (66.410)
Epoch: [6][5530/9018]	Time 0.592 (0.604)	Data 0.001 (0.001)	Loss 2.5770 (2.6587)	Prec@1 38.000 (35.822)	Prec@5 65.500 (66.411)
Epoch: [6][5540/9018]	Time 0.602 (0.604)	Data 0.001 (0.001)	Loss 2.7482 (2.6586)	Prec@1 37.000 (35.824)	Prec@5 62.000 (66.411)
Epoch: [6][5550/9018]	Time 0.605 (0.604)	Data 0.001 (0.001)	Loss 2.6200 (2.6586)	Prec@1 40.500 (35.825)	Prec@5 68.000 (66.413)
Epoch: [6][5560/9018]	Time 0.596 (0.604)	Data 0.001 (0.001)	Loss 2.7134 (2.6586)	Prec@1 38.000 (35.825)	Prec@5 67.500 (66.412)
Epoch: [6][5570/9018]	Time 0.592 (0.604)	Data 0.001 (0.001)	Loss 2.6364 (2.6586)	Prec@1 39.000 (35.827)	Prec@5 67.500 (66.411)
Epoch: [6][5580/9018]	Time 0.600 (0.604)	Data 0.001 (0.001)	Loss 2.8396 (2.6586)	Prec@1 33.000 (35.828)	Prec@5 61.500 (66.413)
Epoch: [6][5590/9018]	Time 0.588 (0.604)	Data 0.001 (0.001)	Loss 2.5263 (2.6585)	Prec@1 34.000 (35.829)	Prec@5 68.000 (66.415)
Epoch: [6][5600/9018]	Time 0.714 (0.604)	Data 0.001 (0.001)	Loss 2.6478 (2.6586)	Prec@1 34.000 (35.827)	Prec@5 65.500 (66.415)
Epoch: [6][5610/9018]	Time 0.595 (0.604)	Data 0.001 (0.001)	Loss 2.7795 (2.6586)	Prec@1 31.000 (35.828)	Prec@5 62.000 (66.414)
Epoch: [6][5620/9018]	Time 0.604 (0.604)	Data 0.001 (0.001)	Loss 2.6475 (2.6588)	Prec@1 41.000 (35.825)	Prec@5 66.500 (66.409)
Epoch: [6][5630/9018]	Time 0.597 (0.604)	Data 0.001 (0.001)	Loss 2.5861 (2.6588)	Prec@1 39.500 (35.827)	Prec@5 67.000 (66.410)
Epoch: [6][5640/9018]	Time 0.599 (0.604)	Data 0.001 (0.001)	Loss 2.5696 (2.6588)	Prec@1 39.500 (35.827)	Prec@5 66.500 (66.410)
Epoch: [6][5650/9018]	Time 0.714 (0.604)	Data 0.001 (0.001)	Loss 2.7104 (2.6589)	Prec@1 31.500 (35.823)	Prec@5 70.000 (66.406)
Epoch: [6][5660/9018]	Time 0.598 (0.604)	Data 0.001 (0.001)	Loss 2.3127 (2.6589)	Prec@1 41.500 (35.825)	Prec@5 74.000 (66.409)
Epoch: [6][5670/9018]	Time 0.596 (0.604)	Data 0.001 (0.001)	Loss 2.5195 (2.6588)	Prec@1 36.500 (35.826)	Prec@5 70.500 (66.412)
Epoch: [6][5680/9018]	Time 0.600 (0.604)	Data 0.001 (0.001)	Loss 2.8581 (2.6587)	Prec@1 33.000 (35.827)	Prec@5 63.500 (66.413)
Epoch: [6][5690/9018]	Time 0.600 (0.604)	Data 0.001 (0.001)	Loss 2.7258 (2.6587)	Prec@1 38.500 (35.828)	Prec@5 68.000 (66.413)
Epoch: [6][5700/9018]	Time 0.604 (0.604)	Data 0.001 (0.001)	Loss 2.4222 (2.6586)	Prec@1 39.000 (35.831)	Prec@5 69.000 (66.416)
Epoch: [6][5710/9018]	Time 0.605 (0.604)	Data 0.001 (0.001)	Loss 2.7660 (2.6585)	Prec@1 30.500 (35.831)	Prec@5 63.000 (66.417)
Epoch: [6][5720/9018]	Time 0.594 (0.604)	Data 0.001 (0.001)	Loss 2.6302 (2.6585)	Prec@1 35.500 (35.832)	Prec@5 65.000 (66.418)
Epoch: [6][5730/9018]	Time 0.618 (0.604)	Data 0.001 (0.001)	Loss 2.5846 (2.6584)	Prec@1 33.500 (35.832)	Prec@5 67.000 (66.419)
Epoch: [6][5740/9018]	Time 0.598 (0.604)	Data 0.001 (0.001)	Loss 2.8992 (2.6586)	Prec@1 38.000 (35.833)	Prec@5 61.500 (66.416)
Epoch: [6][5750/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.8057 (2.6586)	Prec@1 29.000 (35.833)	Prec@5 65.000 (66.416)
Epoch: [6][5760/9018]	Time 0.604 (0.605)	Data 0.001 (0.001)	Loss 2.6627 (2.6585)	Prec@1 38.500 (35.836)	Prec@5 61.000 (66.417)
Epoch: [6][5770/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.3459 (2.6584)	Prec@1 42.500 (35.840)	Prec@5 69.000 (66.419)
Epoch: [6][5780/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.6976 (2.6584)	Prec@1 36.500 (35.841)	Prec@5 66.000 (66.419)
Epoch: [6][5790/9018]	Time 0.612 (0.605)	Data 0.001 (0.001)	Loss 2.5831 (2.6584)	Prec@1 41.000 (35.842)	Prec@5 69.000 (66.420)
Epoch: [6][5800/9018]	Time 0.593 (0.605)	Data 0.001 (0.001)	Loss 2.6536 (2.6583)	Prec@1 39.000 (35.842)	Prec@5 68.500 (66.422)
Epoch: [6][5810/9018]	Time 0.609 (0.605)	Data 0.001 (0.001)	Loss 2.6119 (2.6584)	Prec@1 35.500 (35.841)	Prec@5 66.000 (66.421)
Epoch: [6][5820/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.7902 (2.6586)	Prec@1 37.000 (35.836)	Prec@5 63.000 (66.416)
Epoch: [6][5830/9018]	Time 0.628 (0.605)	Data 0.001 (0.001)	Loss 2.5576 (2.6586)	Prec@1 41.500 (35.839)	Prec@5 65.500 (66.415)
Epoch: [6][5840/9018]	Time 0.622 (0.605)	Data 0.001 (0.001)	Loss 2.6584 (2.6586)	Prec@1 36.000 (35.838)	Prec@5 63.000 (66.412)
Epoch: [6][5850/9018]	Time 0.602 (0.605)	Data 0.001 (0.001)	Loss 2.5435 (2.6585)	Prec@1 36.500 (35.838)	Prec@5 69.500 (66.414)
Epoch: [6][5860/9018]	Time 0.608 (0.605)	Data 0.001 (0.001)	Loss 2.4778 (2.6584)	Prec@1 39.000 (35.840)	Prec@5 68.000 (66.416)
Epoch: [6][5870/9018]	Time 0.606 (0.605)	Data 0.001 (0.001)	Loss 2.5371 (2.6583)	Prec@1 40.500 (35.842)	Prec@5 69.500 (66.419)
Epoch: [6][5880/9018]	Time 0.624 (0.605)	Data 0.001 (0.001)	Loss 2.8133 (2.6584)	Prec@1 31.000 (35.839)	Prec@5 64.000 (66.417)
Epoch: [6][5890/9018]	Time 0.603 (0.605)	Data 0.001 (0.001)	Loss 2.5663 (2.6584)	Prec@1 37.000 (35.838)	Prec@5 69.500 (66.417)
Epoch: [6][5900/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.7695 (2.6585)	Prec@1 32.500 (35.837)	Prec@5 67.500 (66.415)
Epoch: [6][5910/9018]	Time 0.602 (0.605)	Data 0.001 (0.001)	Loss 2.6935 (2.6585)	Prec@1 34.500 (35.837)	Prec@5 65.000 (66.416)
Epoch: [6][5920/9018]	Time 0.604 (0.605)	Data 0.001 (0.001)	Loss 2.3914 (2.6585)	Prec@1 41.500 (35.837)	Prec@5 70.500 (66.413)
Epoch: [6][5930/9018]	Time 0.725 (0.605)	Data 0.001 (0.001)	Loss 2.6828 (2.6584)	Prec@1 35.000 (35.840)	Prec@5 66.000 (66.416)
Epoch: [6][5940/9018]	Time 0.603 (0.605)	Data 0.001 (0.001)	Loss 2.5005 (2.6585)	Prec@1 36.000 (35.839)	Prec@5 73.500 (66.417)
Epoch: [6][5950/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.6123 (2.6585)	Prec@1 38.000 (35.837)	Prec@5 64.000 (66.416)
Epoch: [6][5960/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.7177 (2.6585)	Prec@1 35.000 (35.837)	Prec@5 65.500 (66.420)
Epoch: [6][5970/9018]	Time 0.620 (0.605)	Data 0.001 (0.001)	Loss 2.8813 (2.6586)	Prec@1 30.000 (35.835)	Prec@5 59.500 (66.418)
Epoch: [6][5980/9018]	Time 0.689 (0.605)	Data 0.001 (0.001)	Loss 2.5183 (2.6585)	Prec@1 36.000 (35.837)	Prec@5 66.500 (66.420)
Epoch: [6][5990/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.6071 (2.6586)	Prec@1 29.500 (35.834)	Prec@5 68.500 (66.416)
Epoch: [6][6000/9018]	Time 0.593 (0.605)	Data 0.001 (0.001)	Loss 2.4088 (2.6584)	Prec@1 44.500 (35.838)	Prec@5 67.500 (66.420)
Epoch: [6][6010/9018]	Time 0.612 (0.605)	Data 0.001 (0.001)	Loss 2.8125 (2.6585)	Prec@1 36.000 (35.836)	Prec@5 63.500 (66.419)
Epoch: [6][6020/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.6521 (2.6584)	Prec@1 35.000 (35.837)	Prec@5 66.000 (66.420)
Epoch: [6][6030/9018]	Time 0.627 (0.605)	Data 0.001 (0.001)	Loss 2.9916 (2.6584)	Prec@1 32.000 (35.836)	Prec@5 63.000 (66.420)
Epoch: [6][6040/9018]	Time 0.593 (0.605)	Data 0.001 (0.001)	Loss 2.6785 (2.6584)	Prec@1 37.000 (35.835)	Prec@5 64.000 (66.420)
Epoch: [6][6050/9018]	Time 0.601 (0.605)	Data 0.001 (0.001)	Loss 2.8312 (2.6585)	Prec@1 34.000 (35.834)	Prec@5 63.000 (66.420)
Epoch: [6][6060/9018]	Time 0.635 (0.605)	Data 0.001 (0.001)	Loss 2.6438 (2.6586)	Prec@1 37.000 (35.833)	Prec@5 64.000 (66.420)
Epoch: [6][6070/9018]	Time 0.592 (0.605)	Data 0.001 (0.001)	Loss 2.9648 (2.6587)	Prec@1 32.500 (35.828)	Prec@5 60.500 (66.418)
Epoch: [6][6080/9018]	Time 0.602 (0.605)	Data 0.001 (0.001)	Loss 2.6956 (2.6588)	Prec@1 38.000 (35.828)	Prec@5 67.000 (66.418)
Epoch: [6][6090/9018]	Time 0.640 (0.605)	Data 0.001 (0.001)	Loss 2.8171 (2.6588)	Prec@1 35.500 (35.828)	Prec@5 62.500 (66.415)
Epoch: [6][6100/9018]	Time 0.595 (0.605)	Data 0.001 (0.001)	Loss 2.5293 (2.6589)	Prec@1 38.000 (35.829)	Prec@5 65.000 (66.414)
Epoch: [6][6110/9018]	Time 0.614 (0.605)	Data 0.001 (0.001)	Loss 2.8008 (2.6588)	Prec@1 35.500 (35.833)	Prec@5 65.000 (66.415)
Epoch: [6][6120/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.7269 (2.6590)	Prec@1 38.500 (35.831)	Prec@5 63.000 (66.412)
Epoch: [6][6130/9018]	Time 0.627 (0.605)	Data 0.001 (0.001)	Loss 2.7880 (2.6591)	Prec@1 33.500 (35.828)	Prec@5 62.000 (66.408)
Epoch: [6][6140/9018]	Time 0.635 (0.605)	Data 0.001 (0.001)	Loss 2.7778 (2.6592)	Prec@1 30.000 (35.826)	Prec@5 63.000 (66.407)
Epoch: [6][6150/9018]	Time 0.605 (0.605)	Data 0.001 (0.001)	Loss 2.8846 (2.6593)	Prec@1 34.500 (35.824)	Prec@5 64.000 (66.404)
Epoch: [6][6160/9018]	Time 0.611 (0.605)	Data 0.001 (0.001)	Loss 2.5899 (2.6594)	Prec@1 34.500 (35.821)	Prec@5 68.000 (66.403)
Epoch: [6][6170/9018]	Time 0.625 (0.605)	Data 0.001 (0.001)	Loss 2.4531 (2.6594)	Prec@1 42.000 (35.822)	Prec@5 67.500 (66.403)
Epoch: [6][6180/9018]	Time 0.616 (0.605)	Data 0.001 (0.001)	Loss 2.4083 (2.6595)	Prec@1 41.000 (35.820)	Prec@5 70.000 (66.401)
Epoch: [6][6190/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.3764 (2.6593)	Prec@1 45.000 (35.823)	Prec@5 73.000 (66.405)
Epoch: [6][6200/9018]	Time 0.638 (0.605)	Data 0.001 (0.001)	Loss 3.0014 (2.6593)	Prec@1 30.500 (35.825)	Prec@5 64.000 (66.406)
Epoch: [6][6210/9018]	Time 0.599 (0.605)	Data 0.001 (0.001)	Loss 2.5391 (2.6593)	Prec@1 31.000 (35.824)	Prec@5 69.500 (66.405)
Epoch: [6][6220/9018]	Time 0.594 (0.605)	Data 0.001 (0.001)	Loss 2.6017 (2.6592)	Prec@1 35.500 (35.826)	Prec@5 67.500 (66.408)
Epoch: [6][6230/9018]	Time 0.617 (0.605)	Data 0.001 (0.001)	Loss 2.5680 (2.6591)	Prec@1 39.000 (35.826)	Prec@5 67.000 (66.410)
Epoch: [6][6240/9018]	Time 0.605 (0.605)	Data 0.001 (0.001)	Loss 2.3320 (2.6590)	Prec@1 38.000 (35.829)	Prec@5 74.000 (66.411)
Epoch: [6][6250/9018]	Time 0.597 (0.605)	Data 0.001 (0.001)	Loss 2.6330 (2.6590)	Prec@1 36.000 (35.828)	Prec@5 66.000 (66.412)
Epoch: [6][6260/9018]	Time 0.698 (0.605)	Data 0.001 (0.001)	Loss 2.6827 (2.6591)	Prec@1 34.000 (35.825)	Prec@5 66.500 (66.410)
Epoch: [6][6270/9018]	Time 0.626 (0.605)	Data 0.001 (0.001)	Loss 2.9884 (2.6592)	Prec@1 34.500 (35.820)	Prec@5 59.000 (66.410)
Epoch: [6][6280/9018]	Time 0.596 (0.605)	Data 0.001 (0.001)	Loss 2.6765 (2.6593)	Prec@1 34.000 (35.819)	Prec@5 65.500 (66.408)
Epoch: [6][6290/9018]	Time 0.602 (0.605)	Data 0.001 (0.001)	Loss 2.4471 (2.6593)	Prec@1 42.000 (35.817)	Prec@5 71.500 (66.409)
Epoch: [6][6300/9018]	Time 0.605 (0.605)	Data 0.001 (0.001)	Loss 2.4737 (2.6593)	Prec@1 36.500 (35.818)	Prec@5 70.000 (66.409)
Epoch: [6][6310/9018]	Time 0.701 (0.605)	Data 0.001 (0.001)	Loss 2.7521 (2.6593)	Prec@1 32.500 (35.819)	Prec@5 65.500 (66.411)
Epoch: [6][6320/9018]	Time 0.605 (0.605)	Data 0.001 (0.001)	Loss 2.7465 (2.6594)	Prec@1 33.000 (35.817)	Prec@5 60.500 (66.407)
Epoch: [6][6330/9018]	Time 0.603 (0.605)	Data 0.001 (0.001)	Loss 2.4755 (2.6592)	Prec@1 39.000 (35.822)	Prec@5 72.500 (66.411)
Epoch: [6][6340/9018]	Time 0.608 (0.605)	Data 0.001 (0.001)	Loss 2.4837 (2.6591)	Prec@1 41.000 (35.822)	Prec@5 70.500 (66.411)
Epoch: [6][6350/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.6851 (2.6590)	Prec@1 34.000 (35.824)	Prec@5 68.000 (66.414)
Epoch: [6][6360/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.4835 (2.6590)	Prec@1 43.500 (35.823)	Prec@5 70.500 (66.414)
Epoch: [6][6370/9018]	Time 0.626 (0.605)	Data 0.001 (0.001)	Loss 2.5388 (2.6589)	Prec@1 36.500 (35.823)	Prec@5 68.500 (66.415)
Epoch: [6][6380/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.6432 (2.6589)	Prec@1 36.500 (35.823)	Prec@5 62.500 (66.416)
Epoch: [6][6390/9018]	Time 0.614 (0.605)	Data 0.001 (0.001)	Loss 2.9263 (2.6588)	Prec@1 35.000 (35.824)	Prec@5 60.500 (66.417)
Epoch: [6][6400/9018]	Time 0.603 (0.605)	Data 0.001 (0.001)	Loss 2.4792 (2.6588)	Prec@1 39.000 (35.824)	Prec@5 72.500 (66.418)
Epoch: [6][6410/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.4275 (2.6588)	Prec@1 38.500 (35.826)	Prec@5 71.000 (66.419)
Epoch: [6][6420/9018]	Time 0.604 (0.605)	Data 0.001 (0.001)	Loss 2.7843 (2.6588)	Prec@1 32.500 (35.826)	Prec@5 61.000 (66.419)
Epoch: [6][6430/9018]	Time 0.604 (0.605)	Data 0.001 (0.001)	Loss 2.7937 (2.6588)	Prec@1 35.000 (35.825)	Prec@5 63.500 (66.419)
Epoch: [6][6440/9018]	Time 0.602 (0.605)	Data 0.001 (0.001)	Loss 2.4679 (2.6587)	Prec@1 36.000 (35.824)	Prec@5 72.000 (66.421)
Epoch: [6][6450/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.5437 (2.6586)	Prec@1 39.000 (35.825)	Prec@5 66.000 (66.424)
Epoch: [6][6460/9018]	Time 0.600 (0.605)	Data 0.001 (0.001)	Loss 2.7076 (2.6585)	Prec@1 35.500 (35.827)	Prec@5 67.500 (66.426)
Epoch: [6][6470/9018]	Time 0.630 (0.605)	Data 0.001 (0.001)	Loss 2.4792 (2.6585)	Prec@1 43.000 (35.830)	Prec@5 69.000 (66.426)
Epoch: [6][6480/9018]	Time 0.598 (0.605)	Data 0.001 (0.001)	Loss 2.4010 (2.6583)	Prec@1 38.500 (35.833)	Prec@5 71.500 (66.430)
Epoch: [6][6490/9018]	Time 0.612 (0.605)	Data 0.001 (0.001)	Loss 2.6626 (2.6583)	Prec@1 38.500 (35.834)	Prec@5 65.500 (66.432)
Epoch: [6][6500/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 2.5693 (2.6583)	Prec@1 39.000 (35.835)	Prec@5 68.500 (66.433)
Epoch: [6][6510/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 2.5563 (2.6582)	Prec@1 35.500 (35.836)	Prec@5 68.000 (66.435)
Epoch: [6][6520/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 2.5366 (2.6581)	Prec@1 34.000 (35.837)	Prec@5 67.000 (66.436)
Epoch: [6][6530/9018]	Time 0.636 (0.606)	Data 0.001 (0.001)	Loss 2.6567 (2.6581)	Prec@1 37.000 (35.838)	Prec@5 64.500 (66.437)
Epoch: [6][6540/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 2.9083 (2.6582)	Prec@1 31.500 (35.835)	Prec@5 59.500 (66.436)
Epoch: [6][6550/9018]	Time 0.635 (0.606)	Data 0.001 (0.001)	Loss 2.6708 (2.6581)	Prec@1 38.000 (35.835)	Prec@5 64.500 (66.438)
Epoch: [6][6560/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 2.4970 (2.6580)	Prec@1 41.000 (35.836)	Prec@5 66.500 (66.439)
Epoch: [6][6570/9018]	Time 0.609 (0.606)	Data 0.001 (0.001)	Loss 2.8543 (2.6580)	Prec@1 36.500 (35.836)	Prec@5 63.000 (66.439)
Epoch: [6][6580/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 2.7335 (2.6581)	Prec@1 38.000 (35.836)	Prec@5 64.000 (66.439)
Epoch: [6][6590/9018]	Time 0.721 (0.606)	Data 0.001 (0.001)	Loss 2.5963 (2.6580)	Prec@1 37.000 (35.836)	Prec@5 66.500 (66.440)
Epoch: [6][6600/9018]	Time 0.607 (0.606)	Data 0.001 (0.001)	Loss 2.8311 (2.6579)	Prec@1 30.500 (35.839)	Prec@5 64.500 (66.442)
Epoch: [6][6610/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 2.5693 (2.6579)	Prec@1 44.500 (35.840)	Prec@5 66.000 (66.441)
Epoch: [6][6620/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 2.6108 (2.6578)	Prec@1 35.500 (35.842)	Prec@5 69.500 (66.443)
Epoch: [6][6630/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 2.5581 (2.6578)	Prec@1 40.000 (35.843)	Prec@5 72.000 (66.444)
Epoch: [6][6640/9018]	Time 0.693 (0.606)	Data 0.001 (0.001)	Loss 2.7892 (2.6579)	Prec@1 31.500 (35.840)	Prec@5 64.000 (66.441)
Epoch: [6][6650/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 2.8709 (2.6580)	Prec@1 33.000 (35.839)	Prec@5 62.000 (66.439)
Epoch: [6][6660/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 2.5910 (2.6580)	Prec@1 37.500 (35.839)	Prec@5 66.000 (66.440)
Epoch: [6][6670/9018]	Time 0.611 (0.606)	Data 0.001 (0.001)	Loss 2.6251 (2.6580)	Prec@1 37.000 (35.838)	Prec@5 66.000 (66.439)
Epoch: [6][6680/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 2.5837 (2.6580)	Prec@1 36.000 (35.839)	Prec@5 64.000 (66.436)
Epoch: [6][6690/9018]	Time 0.620 (0.606)	Data 0.001 (0.001)	Loss 2.6956 (2.6580)	Prec@1 29.000 (35.839)	Prec@5 66.500 (66.437)
Epoch: [6][6700/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 2.8212 (2.6579)	Prec@1 31.000 (35.838)	Prec@5 63.500 (66.440)
Epoch: [6][6710/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 2.7974 (2.6578)	Prec@1 30.000 (35.839)	Prec@5 67.000 (66.444)
Epoch: [6][6720/9018]	Time 0.633 (0.606)	Data 0.001 (0.001)	Loss 2.6809 (2.6578)	Prec@1 36.500 (35.837)	Prec@5 67.000 (66.444)
Epoch: [6][6730/9018]	Time 0.636 (0.606)	Data 0.001 (0.001)	Loss 2.6839 (2.6578)	Prec@1 37.000 (35.836)	Prec@5 66.500 (66.446)
Epoch: [6][6740/9018]	Time 0.613 (0.606)	Data 0.001 (0.001)	Loss 2.6171 (2.6578)	Prec@1 39.000 (35.836)	Prec@5 68.500 (66.445)
Epoch: [6][6750/9018]	Time 0.635 (0.606)	Data 0.001 (0.001)	Loss 2.7688 (2.6578)	Prec@1 32.000 (35.835)	Prec@5 63.500 (66.446)
Epoch: [6][6760/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 2.5337 (2.6579)	Prec@1 36.000 (35.833)	Prec@5 67.500 (66.446)
Epoch: [6][6770/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 2.5794 (2.6579)	Prec@1 47.500 (35.835)	Prec@5 67.500 (66.445)
Epoch: [6][6780/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 2.5055 (2.6578)	Prec@1 37.000 (35.833)	Prec@5 67.500 (66.445)
Epoch: [6][6790/9018]	Time 0.608 (0.606)	Data 0.001 (0.001)	Loss 2.8258 (2.6578)	Prec@1 35.000 (35.834)	Prec@5 62.500 (66.445)
Epoch: [6][6800/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 2.6399 (2.6579)	Prec@1 36.000 (35.832)	Prec@5 66.000 (66.444)
Epoch: [6][6810/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 2.6157 (2.6578)	Prec@1 39.000 (35.832)	Prec@5 67.500 (66.444)
Epoch: [6][6820/9018]	Time 0.590 (0.606)	Data 0.001 (0.001)	Loss 2.5874 (2.6578)	Prec@1 36.000 (35.832)	Prec@5 69.500 (66.448)
Epoch: [6][6830/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 2.7973 (2.6579)	Prec@1 34.500 (35.831)	Prec@5 63.500 (66.445)
Epoch: [6][6840/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 2.6874 (2.6578)	Prec@1 35.500 (35.832)	Prec@5 66.000 (66.447)
Epoch: [6][6850/9018]	Time 0.621 (0.606)	Data 0.001 (0.001)	Loss 2.6555 (2.6578)	Prec@1 38.000 (35.831)	Prec@5 67.000 (66.446)
Epoch: [6][6860/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 2.7355 (2.6578)	Prec@1 35.500 (35.832)	Prec@5 65.000 (66.447)
Epoch: [6][6870/9018]	Time 0.610 (0.606)	Data 0.001 (0.001)	Loss 2.8356 (2.6578)	Prec@1 33.000 (35.833)	Prec@5 62.000 (66.446)
Epoch: [6][6880/9018]	Time 0.621 (0.606)	Data 0.001 (0.001)	Loss 2.7122 (2.6579)	Prec@1 31.500 (35.831)	Prec@5 67.000 (66.446)
Epoch: [6][6890/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 2.5062 (2.6579)	Prec@1 38.500 (35.830)	Prec@5 68.500 (66.446)
Epoch: [6][6900/9018]	Time 0.630 (0.606)	Data 0.001 (0.001)	Loss 2.9886 (2.6580)	Prec@1 27.000 (35.830)	Prec@5 60.000 (66.447)
Epoch: [6][6910/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 2.7203 (2.6578)	Prec@1 31.500 (35.833)	Prec@5 65.500 (66.448)
Epoch: [6][6920/9018]	Time 0.704 (0.606)	Data 0.001 (0.001)	Loss 2.6023 (2.6577)	Prec@1 36.000 (35.835)	Prec@5 67.000 (66.451)
Epoch: [6][6930/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 2.6621 (2.6577)	Prec@1 38.500 (35.836)	Prec@5 67.000 (66.451)
Epoch: [6][6940/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 2.6186 (2.6576)	Prec@1 37.000 (35.838)	Prec@5 67.500 (66.451)
Epoch: [6][6950/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 2.6898 (2.6577)	Prec@1 35.500 (35.837)	Prec@5 65.000 (66.449)
Epoch: [6][6960/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 2.6142 (2.6577)	Prec@1 34.000 (35.837)	Prec@5 68.000 (66.450)
Epoch: [6][6970/9018]	Time 0.686 (0.606)	Data 0.001 (0.001)	Loss 2.6911 (2.6579)	Prec@1 34.000 (35.835)	Prec@5 62.000 (66.448)
Epoch: [6][6980/9018]	Time 0.614 (0.606)	Data 0.001 (0.001)	Loss 2.5951 (2.6578)	Prec@1 38.000 (35.836)	Prec@5 66.000 (66.450)
Epoch: [6][6990/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 2.5643 (2.6577)	Prec@1 38.000 (35.837)	Prec@5 67.000 (66.450)
Epoch: [6][7000/9018]	Time 0.613 (0.606)	Data 0.001 (0.001)	Loss 2.7933 (2.6577)	Prec@1 31.500 (35.836)	Prec@5 64.000 (66.451)
Epoch: [6][7010/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 2.7797 (2.6577)	Prec@1 33.500 (35.839)	Prec@5 63.500 (66.452)
Epoch: [6][7020/9018]	Time 0.637 (0.606)	Data 0.001 (0.001)	Loss 2.6285 (2.6576)	Prec@1 37.500 (35.842)	Prec@5 65.000 (66.453)
Epoch: [6][7030/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 2.6164 (2.6576)	Prec@1 37.500 (35.842)	Prec@5 70.000 (66.453)
Epoch: [6][7040/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 2.6915 (2.6575)	Prec@1 31.500 (35.841)	Prec@5 67.000 (66.455)
Epoch: [6][7050/9018]	Time 0.634 (0.606)	Data 0.001 (0.001)	Loss 2.5006 (2.6575)	Prec@1 40.000 (35.842)	Prec@5 70.500 (66.457)
Epoch: [6][7060/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 2.6341 (2.6575)	Prec@1 37.000 (35.842)	Prec@5 68.500 (66.458)
Epoch: [6][7070/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 2.7552 (2.6576)	Prec@1 33.000 (35.841)	Prec@5 66.000 (66.457)
Epoch: [6][7080/9018]	Time 0.631 (0.606)	Data 0.001 (0.001)	Loss 2.7900 (2.6574)	Prec@1 34.000 (35.843)	Prec@5 64.500 (66.460)
Epoch: [6][7090/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 2.6042 (2.6574)	Prec@1 40.000 (35.843)	Prec@5 66.000 (66.462)
Epoch: [6][7100/9018]	Time 0.608 (0.606)	Data 0.001 (0.001)	Loss 2.7866 (2.6575)	Prec@1 33.500 (35.843)	Prec@5 64.500 (66.462)
Epoch: [6][7110/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 2.5028 (2.6575)	Prec@1 39.500 (35.841)	Prec@5 69.500 (66.462)
Epoch: [6][7120/9018]	Time 0.615 (0.606)	Data 0.001 (0.001)	Loss 2.7664 (2.6575)	Prec@1 33.500 (35.842)	Prec@5 69.000 (66.463)
Epoch: [6][7130/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 2.8413 (2.6577)	Prec@1 33.500 (35.838)	Prec@5 61.500 (66.459)
Epoch: [6][7140/9018]	Time 0.613 (0.606)	Data 0.001 (0.001)	Loss 2.3956 (2.6576)	Prec@1 41.500 (35.840)	Prec@5 70.000 (66.460)
Epoch: [6][7150/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 2.5502 (2.6576)	Prec@1 31.500 (35.838)	Prec@5 70.000 (66.459)
Epoch: [6][7160/9018]	Time 0.619 (0.606)	Data 0.001 (0.001)	Loss 2.5971 (2.6575)	Prec@1 37.500 (35.841)	Prec@5 66.000 (66.459)
Epoch: [6][7170/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 2.5173 (2.6575)	Prec@1 36.500 (35.840)	Prec@5 68.500 (66.457)
Epoch: [6][7180/9018]	Time 0.631 (0.606)	Data 0.001 (0.001)	Loss 2.9354 (2.6575)	Prec@1 29.500 (35.839)	Prec@5 60.500 (66.456)
Epoch: [6][7190/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 2.8732 (2.6576)	Prec@1 30.500 (35.840)	Prec@5 64.000 (66.456)
Epoch: [6][7200/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 2.9079 (2.6577)	Prec@1 32.000 (35.838)	Prec@5 59.500 (66.455)
Epoch: [6][7210/9018]	Time 0.613 (0.606)	Data 0.001 (0.001)	Loss 2.7918 (2.6577)	Prec@1 36.500 (35.841)	Prec@5 61.500 (66.456)
Epoch: [6][7220/9018]	Time 0.607 (0.606)	Data 0.001 (0.001)	Loss 2.6778 (2.6577)	Prec@1 36.500 (35.840)	Prec@5 68.000 (66.456)
Epoch: [6][7230/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 2.6638 (2.6577)	Prec@1 44.000 (35.842)	Prec@5 66.000 (66.457)
Epoch: [6][7240/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 2.5360 (2.6577)	Prec@1 42.000 (35.844)	Prec@5 67.500 (66.457)
Epoch: [6][7250/9018]	Time 0.718 (0.606)	Data 0.001 (0.001)	Loss 2.4880 (2.6576)	Prec@1 35.000 (35.843)	Prec@5 73.500 (66.459)
Epoch: [6][7260/9018]	Time 0.622 (0.606)	Data 0.001 (0.001)	Loss 2.6166 (2.6577)	Prec@1 32.000 (35.841)	Prec@5 70.000 (66.456)
Epoch: [6][7270/9018]	Time 0.588 (0.606)	Data 0.001 (0.001)	Loss 2.5984 (2.6577)	Prec@1 35.500 (35.843)	Prec@5 65.500 (66.456)
Epoch: [6][7280/9018]	Time 0.622 (0.606)	Data 0.001 (0.001)	Loss 2.5733 (2.6577)	Prec@1 39.000 (35.843)	Prec@5 67.500 (66.455)
Epoch: [6][7290/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 2.7425 (2.6576)	Prec@1 39.000 (35.845)	Prec@5 66.000 (66.456)
Epoch: [6][7300/9018]	Time 0.748 (0.606)	Data 0.001 (0.001)	Loss 2.7254 (2.6575)	Prec@1 38.000 (35.848)	Prec@5 65.000 (66.460)
Epoch: [6][7310/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 2.4096 (2.6575)	Prec@1 41.000 (35.850)	Prec@5 71.500 (66.459)
Epoch: [6][7320/9018]	Time 0.610 (0.606)	Data 0.001 (0.001)	Loss 2.7526 (2.6575)	Prec@1 31.500 (35.852)	Prec@5 62.000 (66.459)
Epoch: [6][7330/9018]	Time 0.643 (0.606)	Data 0.001 (0.001)	Loss 2.7517 (2.6574)	Prec@1 37.000 (35.853)	Prec@5 64.000 (66.460)
Epoch: [6][7340/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 2.7512 (2.6574)	Prec@1 31.500 (35.851)	Prec@5 64.500 (66.459)
Epoch: [6][7350/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 2.6406 (2.6573)	Prec@1 37.500 (35.854)	Prec@5 62.000 (66.462)
Epoch: [6][7360/9018]	Time 0.614 (0.606)	Data 0.001 (0.001)	Loss 2.6909 (2.6574)	Prec@1 31.000 (35.853)	Prec@5 65.500 (66.460)
Epoch: [6][7370/9018]	Time 0.608 (0.607)	Data 0.001 (0.001)	Loss 2.6670 (2.6574)	Prec@1 37.000 (35.853)	Prec@5 68.500 (66.460)
Epoch: [6][7380/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 2.7004 (2.6575)	Prec@1 36.500 (35.853)	Prec@5 67.000 (66.459)
Epoch: [6][7390/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 2.6588 (2.6575)	Prec@1 38.000 (35.853)	Prec@5 69.000 (66.458)
Epoch: [6][7400/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 2.8199 (2.6576)	Prec@1 33.000 (35.854)	Prec@5 65.500 (66.458)
Epoch: [6][7410/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 2.6311 (2.6576)	Prec@1 38.500 (35.853)	Prec@5 66.500 (66.458)
Epoch: [6][7420/9018]	Time 0.589 (0.607)	Data 0.001 (0.001)	Loss 2.8243 (2.6575)	Prec@1 29.500 (35.851)	Prec@5 65.000 (66.457)
Epoch: [6][7430/9018]	Time 0.609 (0.607)	Data 0.001 (0.001)	Loss 2.5161 (2.6575)	Prec@1 40.000 (35.853)	Prec@5 66.000 (66.458)
Epoch: [6][7440/9018]	Time 0.595 (0.607)	Data 0.001 (0.001)	Loss 2.8472 (2.6575)	Prec@1 32.000 (35.849)	Prec@5 61.000 (66.455)
Epoch: [6][7450/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 2.6940 (2.6575)	Prec@1 32.000 (35.848)	Prec@5 66.000 (66.457)
Epoch: [6][7460/9018]	Time 0.625 (0.607)	Data 0.001 (0.001)	Loss 2.7564 (2.6575)	Prec@1 35.500 (35.850)	Prec@5 64.500 (66.458)
Epoch: [6][7470/9018]	Time 0.594 (0.607)	Data 0.001 (0.001)	Loss 2.7568 (2.6574)	Prec@1 32.500 (35.851)	Prec@5 65.000 (66.460)
Epoch: [6][7480/9018]	Time 0.628 (0.607)	Data 0.001 (0.001)	Loss 2.6778 (2.6574)	Prec@1 36.500 (35.850)	Prec@5 67.000 (66.460)
Epoch: [6][7490/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 2.4812 (2.6574)	Prec@1 42.000 (35.852)	Prec@5 71.500 (66.461)
Epoch: [6][7500/9018]	Time 0.606 (0.607)	Data 0.001 (0.001)	Loss 2.6350 (2.6573)	Prec@1 35.500 (35.855)	Prec@5 70.000 (66.462)
Epoch: [6][7510/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 2.6159 (2.6573)	Prec@1 35.000 (35.855)	Prec@5 67.000 (66.463)
Epoch: [6][7520/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 2.6975 (2.6573)	Prec@1 38.000 (35.853)	Prec@5 64.500 (66.462)
Epoch: [6][7530/9018]	Time 0.625 (0.607)	Data 0.001 (0.001)	Loss 2.8114 (2.6573)	Prec@1 31.000 (35.854)	Prec@5 61.500 (66.463)
Epoch: [6][7540/9018]	Time 0.597 (0.607)	Data 0.001 (0.001)	Loss 2.7574 (2.6573)	Prec@1 35.500 (35.856)	Prec@5 63.500 (66.463)
Epoch: [6][7550/9018]	Time 0.623 (0.607)	Data 0.001 (0.001)	Loss 2.7540 (2.6573)	Prec@1 34.000 (35.855)	Prec@5 64.500 (66.464)
Epoch: [6][7560/9018]	Time 0.594 (0.607)	Data 0.001 (0.001)	Loss 2.5868 (2.6574)	Prec@1 39.500 (35.853)	Prec@5 66.500 (66.463)
Epoch: [6][7570/9018]	Time 0.598 (0.607)	Data 0.001 (0.001)	Loss 2.5716 (2.6574)	Prec@1 35.500 (35.852)	Prec@5 67.500 (66.462)
Epoch: [6][7580/9018]	Time 0.729 (0.607)	Data 0.001 (0.001)	Loss 2.6242 (2.6575)	Prec@1 41.000 (35.850)	Prec@5 68.500 (66.460)
Epoch: [6][7590/9018]	Time 0.631 (0.607)	Data 0.001 (0.001)	Loss 2.3887 (2.6574)	Prec@1 35.000 (35.850)	Prec@5 71.500 (66.460)
Epoch: [6][7600/9018]	Time 0.629 (0.607)	Data 0.001 (0.001)	Loss 2.7894 (2.6574)	Prec@1 32.000 (35.851)	Prec@5 63.500 (66.462)
Epoch: [6][7610/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 2.6057 (2.6574)	Prec@1 33.000 (35.849)	Prec@5 68.500 (66.462)
Epoch: [6][7620/9018]	Time 0.604 (0.607)	Data 0.001 (0.001)	Loss 2.3969 (2.6571)	Prec@1 39.500 (35.855)	Prec@5 70.500 (66.467)
Epoch: [6][7630/9018]	Time 0.710 (0.607)	Data 0.001 (0.001)	Loss 2.7112 (2.6571)	Prec@1 34.000 (35.854)	Prec@5 70.500 (66.469)
Epoch: [6][7640/9018]	Time 0.594 (0.607)	Data 0.001 (0.001)	Loss 2.5972 (2.6571)	Prec@1 38.000 (35.856)	Prec@5 64.500 (66.470)
Epoch: [6][7650/9018]	Time 0.594 (0.607)	Data 0.001 (0.001)	Loss 2.4151 (2.6570)	Prec@1 41.000 (35.857)	Prec@5 72.000 (66.472)
Epoch: [6][7660/9018]	Time 0.628 (0.607)	Data 0.001 (0.001)	Loss 2.4737 (2.6570)	Prec@1 38.500 (35.855)	Prec@5 68.500 (66.471)
Epoch: [6][7670/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 2.5898 (2.6570)	Prec@1 39.000 (35.855)	Prec@5 68.500 (66.471)
Epoch: [6][7680/9018]	Time 0.598 (0.607)	Data 0.001 (0.001)	Loss 2.5700 (2.6569)	Prec@1 35.000 (35.856)	Prec@5 64.500 (66.472)
Epoch: [6][7690/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 2.6405 (2.6568)	Prec@1 40.500 (35.858)	Prec@5 63.500 (66.474)
Epoch: [6][7700/9018]	Time 0.595 (0.607)	Data 0.001 (0.001)	Loss 2.8808 (2.6568)	Prec@1 31.500 (35.859)	Prec@5 63.000 (66.475)
Epoch: [6][7710/9018]	Time 0.612 (0.607)	Data 0.001 (0.001)	Loss 2.6350 (2.6568)	Prec@1 35.500 (35.860)	Prec@5 65.000 (66.474)
Epoch: [6][7720/9018]	Time 0.593 (0.607)	Data 0.001 (0.001)	Loss 2.3813 (2.6567)	Prec@1 40.000 (35.861)	Prec@5 69.500 (66.476)
Epoch: [6][7730/9018]	Time 0.615 (0.607)	Data 0.001 (0.001)	Loss 2.5177 (2.6566)	Prec@1 44.500 (35.863)	Prec@5 69.500 (66.476)
Epoch: [6][7740/9018]	Time 0.593 (0.607)	Data 0.001 (0.001)	Loss 2.4927 (2.6565)	Prec@1 42.000 (35.866)	Prec@5 71.000 (66.479)
Epoch: [6][7750/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 2.7512 (2.6565)	Prec@1 32.500 (35.866)	Prec@5 65.500 (66.479)
Epoch: [6][7760/9018]	Time 0.607 (0.607)	Data 0.001 (0.001)	Loss 2.4097 (2.6565)	Prec@1 40.500 (35.864)	Prec@5 73.000 (66.479)
Epoch: [6][7770/9018]	Time 0.608 (0.607)	Data 0.001 (0.001)	Loss 2.6325 (2.6565)	Prec@1 35.500 (35.862)	Prec@5 69.000 (66.479)
Epoch: [6][7780/9018]	Time 0.595 (0.607)	Data 0.001 (0.001)	Loss 2.4458 (2.6565)	Prec@1 38.500 (35.862)	Prec@5 74.000 (66.481)
Epoch: [6][7790/9018]	Time 0.612 (0.607)	Data 0.001 (0.001)	Loss 2.6150 (2.6565)	Prec@1 34.500 (35.860)	Prec@5 64.500 (66.480)
Epoch: [6][7800/9018]	Time 0.606 (0.607)	Data 0.001 (0.001)	Loss 3.0007 (2.6566)	Prec@1 30.500 (35.860)	Prec@5 59.500 (66.479)
Epoch: [6][7810/9018]	Time 0.593 (0.607)	Data 0.001 (0.001)	Loss 2.7863 (2.6566)	Prec@1 31.500 (35.860)	Prec@5 65.500 (66.478)
Epoch: [6][7820/9018]	Time 0.603 (0.607)	Data 0.001 (0.001)	Loss 2.7556 (2.6567)	Prec@1 33.000 (35.859)	Prec@5 67.000 (66.477)
Epoch: [6][7830/9018]	Time 0.605 (0.607)	Data 0.001 (0.001)	Loss 2.7747 (2.6567)	Prec@1 32.000 (35.858)	Prec@5 65.500 (66.478)
Epoch: [6][7840/9018]	Time 0.603 (0.607)	Data 0.001 (0.001)	Loss 2.6926 (2.6566)	Prec@1 32.500 (35.858)	Prec@5 67.500 (66.481)
Epoch: [6][7850/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 2.6404 (2.6565)	Prec@1 36.500 (35.860)	Prec@5 64.500 (66.481)
Epoch: [6][7860/9018]	Time 0.620 (0.607)	Data 0.001 (0.001)	Loss 2.6377 (2.6567)	Prec@1 32.000 (35.856)	Prec@5 68.500 (66.481)
Epoch: [6][7870/9018]	Time 0.630 (0.607)	Data 0.001 (0.001)	Loss 2.6090 (2.6567)	Prec@1 39.000 (35.857)	Prec@5 64.000 (66.481)
Epoch: [6][7880/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 2.6659 (2.6567)	Prec@1 32.000 (35.855)	Prec@5 64.500 (66.480)
Epoch: [6][7890/9018]	Time 0.612 (0.607)	Data 0.001 (0.001)	Loss 2.7252 (2.6568)	Prec@1 38.000 (35.855)	Prec@5 66.000 (66.479)
Epoch: [6][7900/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 2.4789 (2.6568)	Prec@1 39.500 (35.855)	Prec@5 70.000 (66.480)
Epoch: [6][7910/9018]	Time 0.715 (0.607)	Data 0.001 (0.001)	Loss 2.7829 (2.6568)	Prec@1 37.000 (35.856)	Prec@5 60.500 (66.480)
Epoch: [6][7920/9018]	Time 0.632 (0.607)	Data 0.001 (0.001)	Loss 2.5531 (2.6569)	Prec@1 37.500 (35.853)	Prec@5 74.000 (66.479)
Epoch: [6][7930/9018]	Time 0.598 (0.607)	Data 0.001 (0.001)	Loss 2.6006 (2.6568)	Prec@1 37.500 (35.856)	Prec@5 69.000 (66.482)
Epoch: [6][7940/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 2.7807 (2.6568)	Prec@1 32.500 (35.856)	Prec@5 64.500 (66.481)
Epoch: [6][7950/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 2.6372 (2.6568)	Prec@1 35.000 (35.855)	Prec@5 66.000 (66.481)
Epoch: [6][7960/9018]	Time 0.699 (0.607)	Data 0.001 (0.001)	Loss 2.5414 (2.6567)	Prec@1 38.500 (35.855)	Prec@5 67.000 (66.482)
Epoch: [6][7970/9018]	Time 0.603 (0.607)	Data 0.001 (0.001)	Loss 2.7406 (2.6566)	Prec@1 35.500 (35.857)	Prec@5 66.500 (66.484)
Epoch: [6][7980/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 2.6711 (2.6566)	Prec@1 36.000 (35.857)	Prec@5 68.500 (66.485)
Epoch: [6][7990/9018]	Time 0.615 (0.607)	Data 0.001 (0.001)	Loss 2.7422 (2.6567)	Prec@1 35.500 (35.856)	Prec@5 65.500 (66.484)
Epoch: [6][8000/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 2.5248 (2.6566)	Prec@1 38.000 (35.858)	Prec@5 72.000 (66.484)
Epoch: [6][8010/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 2.6876 (2.6567)	Prec@1 33.000 (35.857)	Prec@5 69.000 (66.485)
Epoch: [6][8020/9018]	Time 0.627 (0.607)	Data 0.001 (0.001)	Loss 2.7468 (2.6568)	Prec@1 35.000 (35.857)	Prec@5 64.000 (66.483)
Epoch: [6][8030/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 2.9838 (2.6568)	Prec@1 32.500 (35.857)	Prec@5 59.000 (66.483)
Epoch: [6][8040/9018]	Time 0.640 (0.607)	Data 0.001 (0.001)	Loss 2.5921 (2.6567)	Prec@1 35.000 (35.857)	Prec@5 66.000 (66.484)
Epoch: [6][8050/9018]	Time 0.594 (0.607)	Data 0.001 (0.001)	Loss 2.4287 (2.6566)	Prec@1 41.000 (35.858)	Prec@5 70.500 (66.486)
Epoch: [6][8060/9018]	Time 0.604 (0.607)	Data 0.001 (0.001)	Loss 2.6258 (2.6566)	Prec@1 31.500 (35.858)	Prec@5 71.000 (66.489)
Epoch: [6][8070/9018]	Time 0.591 (0.607)	Data 0.001 (0.001)	Loss 2.4547 (2.6565)	Prec@1 39.000 (35.860)	Prec@5 74.000 (66.490)
Epoch: [6][8080/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 2.5781 (2.6564)	Prec@1 35.000 (35.861)	Prec@5 65.000 (66.492)
Epoch: [6][8090/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 2.6863 (2.6564)	Prec@1 34.500 (35.860)	Prec@5 68.000 (66.493)
Epoch: [6][8100/9018]	Time 0.595 (0.607)	Data 0.001 (0.001)	Loss 2.5072 (2.6564)	Prec@1 41.000 (35.861)	Prec@5 69.000 (66.495)
Epoch: [6][8110/9018]	Time 0.612 (0.607)	Data 0.001 (0.001)	Loss 2.7526 (2.6564)	Prec@1 39.500 (35.860)	Prec@5 66.500 (66.497)
Epoch: [6][8120/9018]	Time 0.632 (0.607)	Data 0.001 (0.001)	Loss 2.7874 (2.6564)	Prec@1 31.500 (35.860)	Prec@5 64.000 (66.496)
Epoch: [6][8130/9018]	Time 0.611 (0.607)	Data 0.001 (0.001)	Loss 2.3008 (2.6563)	Prec@1 44.000 (35.861)	Prec@5 78.000 (66.497)
Epoch: [6][8140/9018]	Time 0.595 (0.607)	Data 0.001 (0.001)	Loss 2.7687 (2.6563)	Prec@1 34.500 (35.860)	Prec@5 66.000 (66.497)
Epoch: [6][8150/9018]	Time 0.634 (0.607)	Data 0.001 (0.001)	Loss 2.7162 (2.6563)	Prec@1 38.000 (35.861)	Prec@5 67.000 (66.498)
Epoch: [6][8160/9018]	Time 0.637 (0.607)	Data 0.001 (0.001)	Loss 2.8787 (2.6562)	Prec@1 31.500 (35.860)	Prec@5 62.000 (66.499)
Epoch: [6][8170/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 2.7198 (2.6562)	Prec@1 33.500 (35.862)	Prec@5 63.000 (66.500)
Epoch: [6][8180/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 2.7294 (2.6562)	Prec@1 34.000 (35.863)	Prec@5 64.000 (66.502)
Epoch: [6][8190/9018]	Time 0.620 (0.607)	Data 0.001 (0.001)	Loss 2.4768 (2.6561)	Prec@1 43.500 (35.863)	Prec@5 68.000 (66.503)
Epoch: [6][8200/9018]	Time 0.617 (0.607)	Data 0.001 (0.001)	Loss 2.5134 (2.6561)	Prec@1 33.000 (35.863)	Prec@5 73.000 (66.502)
Epoch: [6][8210/9018]	Time 0.595 (0.607)	Data 0.001 (0.001)	Loss 2.5483 (2.6561)	Prec@1 35.000 (35.863)	Prec@5 70.500 (66.502)
Epoch: [6][8220/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 2.5076 (2.6560)	Prec@1 37.000 (35.867)	Prec@5 70.000 (66.504)
Epoch: [6][8230/9018]	Time 0.611 (0.607)	Data 0.001 (0.001)	Loss 2.7164 (2.6560)	Prec@1 32.500 (35.867)	Prec@5 70.500 (66.505)
Epoch: [6][8240/9018]	Time 0.687 (0.607)	Data 0.001 (0.001)	Loss 2.5654 (2.6559)	Prec@1 37.500 (35.869)	Prec@5 68.000 (66.506)
Epoch: [6][8250/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 2.7687 (2.6560)	Prec@1 34.000 (35.867)	Prec@5 61.500 (66.504)
Epoch: [6][8260/9018]	Time 0.595 (0.607)	Data 0.001 (0.001)	Loss 2.8275 (2.6560)	Prec@1 36.500 (35.867)	Prec@5 62.500 (66.503)
Epoch: [6][8270/9018]	Time 0.629 (0.607)	Data 0.001 (0.001)	Loss 2.4599 (2.6560)	Prec@1 35.000 (35.866)	Prec@5 73.000 (66.505)
Epoch: [6][8280/9018]	Time 0.595 (0.607)	Data 0.001 (0.001)	Loss 2.8855 (2.6560)	Prec@1 33.500 (35.868)	Prec@5 62.500 (66.506)
Epoch: [6][8290/9018]	Time 0.719 (0.607)	Data 0.001 (0.001)	Loss 2.6690 (2.6560)	Prec@1 38.000 (35.869)	Prec@5 66.000 (66.505)
Epoch: [6][8300/9018]	Time 0.615 (0.607)	Data 0.001 (0.001)	Loss 2.7496 (2.6560)	Prec@1 36.000 (35.869)	Prec@5 65.000 (66.502)
Epoch: [6][8310/9018]	Time 0.604 (0.607)	Data 0.001 (0.001)	Loss 2.6877 (2.6560)	Prec@1 35.500 (35.869)	Prec@5 66.500 (66.503)
Epoch: [6][8320/9018]	Time 0.623 (0.607)	Data 0.001 (0.001)	Loss 2.9343 (2.6560)	Prec@1 32.500 (35.870)	Prec@5 62.500 (66.503)
Epoch: [6][8330/9018]	Time 0.607 (0.607)	Data 0.001 (0.001)	Loss 2.6303 (2.6561)	Prec@1 36.500 (35.869)	Prec@5 69.000 (66.501)
Epoch: [6][8340/9018]	Time 0.630 (0.607)	Data 0.001 (0.001)	Loss 2.4756 (2.6560)	Prec@1 42.000 (35.870)	Prec@5 69.500 (66.503)
Epoch: [6][8350/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 2.5751 (2.6560)	Prec@1 37.500 (35.869)	Prec@5 69.000 (66.503)
Epoch: [6][8360/9018]	Time 0.591 (0.607)	Data 0.001 (0.001)	Loss 2.7458 (2.6560)	Prec@1 34.000 (35.871)	Prec@5 64.500 (66.503)
Epoch: [6][8370/9018]	Time 0.626 (0.607)	Data 0.001 (0.001)	Loss 2.6646 (2.6560)	Prec@1 37.000 (35.871)	Prec@5 65.500 (66.503)
Epoch: [6][8380/9018]	Time 0.606 (0.607)	Data 0.001 (0.001)	Loss 2.6115 (2.6560)	Prec@1 34.500 (35.871)	Prec@5 70.500 (66.503)
Epoch: [6][8390/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 2.6605 (2.6559)	Prec@1 39.500 (35.872)	Prec@5 65.000 (66.503)
Epoch: [6][8400/9018]	Time 0.622 (0.607)	Data 0.001 (0.001)	Loss 2.5467 (2.6559)	Prec@1 35.500 (35.872)	Prec@5 69.500 (66.503)
Epoch: [6][8410/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 2.5308 (2.6559)	Prec@1 33.000 (35.869)	Prec@5 70.500 (66.503)
Epoch: [6][8420/9018]	Time 0.620 (0.607)	Data 0.001 (0.001)	Loss 2.6538 (2.6559)	Prec@1 36.000 (35.870)	Prec@5 66.500 (66.506)
Epoch: [6][8430/9018]	Time 0.615 (0.607)	Data 0.001 (0.001)	Loss 2.6761 (2.6559)	Prec@1 35.500 (35.869)	Prec@5 67.500 (66.505)
Epoch: [6][8440/9018]	Time 0.621 (0.608)	Data 0.001 (0.001)	Loss 2.4705 (2.6558)	Prec@1 38.000 (35.871)	Prec@5 70.000 (66.508)
Epoch: [6][8450/9018]	Time 0.627 (0.608)	Data 0.001 (0.001)	Loss 2.7251 (2.6558)	Prec@1 33.000 (35.871)	Prec@5 61.500 (66.507)
Epoch: [6][8460/9018]	Time 0.605 (0.608)	Data 0.001 (0.001)	Loss 2.7012 (2.6558)	Prec@1 36.000 (35.871)	Prec@5 66.500 (66.507)
Epoch: [6][8470/9018]	Time 0.624 (0.608)	Data 0.001 (0.001)	Loss 2.5261 (2.6558)	Prec@1 39.000 (35.869)	Prec@5 72.500 (66.507)
Epoch: [6][8480/9018]	Time 0.603 (0.608)	Data 0.001 (0.001)	Loss 2.4759 (2.6557)	Prec@1 37.500 (35.871)	Prec@5 70.000 (66.509)
Epoch: [6][8490/9018]	Time 0.595 (0.608)	Data 0.001 (0.001)	Loss 2.5312 (2.6556)	Prec@1 38.500 (35.874)	Prec@5 71.000 (66.510)
Epoch: [6][8500/9018]	Time 0.594 (0.608)	Data 0.001 (0.001)	Loss 2.4830 (2.6556)	Prec@1 36.000 (35.874)	Prec@5 70.000 (66.511)
Epoch: [6][8510/9018]	Time 0.599 (0.608)	Data 0.001 (0.001)	Loss 2.7062 (2.6555)	Prec@1 37.000 (35.877)	Prec@5 67.000 (66.513)
Epoch: [6][8520/9018]	Time 0.601 (0.608)	Data 0.001 (0.001)	Loss 2.7420 (2.6555)	Prec@1 37.500 (35.877)	Prec@5 63.500 (66.513)
Epoch: [6][8530/9018]	Time 0.632 (0.608)	Data 0.001 (0.001)	Loss 2.9241 (2.6555)	Prec@1 30.000 (35.878)	Prec@5 60.000 (66.511)
Epoch: [6][8540/9018]	Time 0.597 (0.608)	Data 0.001 (0.001)	Loss 3.0354 (2.6556)	Prec@1 34.500 (35.878)	Prec@5 56.500 (66.510)
Epoch: [6][8550/9018]	Time 0.625 (0.608)	Data 0.001 (0.001)	Loss 2.7804 (2.6556)	Prec@1 32.500 (35.877)	Prec@5 63.000 (66.509)
Epoch: [6][8560/9018]	Time 0.594 (0.608)	Data 0.001 (0.001)	Loss 2.6778 (2.6556)	Prec@1 33.000 (35.877)	Prec@5 65.500 (66.508)
Epoch: [6][8570/9018]	Time 0.722 (0.608)	Data 0.001 (0.001)	Loss 2.5409 (2.6556)	Prec@1 37.000 (35.879)	Prec@5 68.500 (66.508)
Epoch: [6][8580/9018]	Time 0.596 (0.608)	Data 0.001 (0.001)	Loss 2.5115 (2.6557)	Prec@1 37.500 (35.879)	Prec@5 72.500 (66.506)
Epoch: [6][8590/9018]	Time 0.604 (0.608)	Data 0.001 (0.001)	Loss 2.8597 (2.6557)	Prec@1 35.000 (35.880)	Prec@5 64.500 (66.505)
Epoch: [6][8600/9018]	Time 0.600 (0.608)	Data 0.001 (0.001)	Loss 2.6034 (2.6557)	Prec@1 37.500 (35.882)	Prec@5 69.500 (66.505)
Epoch: [6][8610/9018]	Time 0.604 (0.608)	Data 0.001 (0.001)	Loss 2.5808 (2.6558)	Prec@1 37.000 (35.880)	Prec@5 73.000 (66.503)
Epoch: [6][8620/9018]	Time 0.743 (0.608)	Data 0.001 (0.001)	Loss 2.8008 (2.6558)	Prec@1 34.000 (35.879)	Prec@5 63.000 (66.504)
Epoch: [6][8630/9018]	Time 0.595 (0.608)	Data 0.001 (0.001)	Loss 2.6401 (2.6556)	Prec@1 29.500 (35.881)	Prec@5 68.500 (66.506)
Epoch: [6][8640/9018]	Time 0.594 (0.608)	Data 0.001 (0.001)	Loss 2.6115 (2.6557)	Prec@1 33.500 (35.882)	Prec@5 72.000 (66.507)
Epoch: [6][8650/9018]	Time 0.607 (0.608)	Data 0.001 (0.001)	Loss 2.4042 (2.6556)	Prec@1 44.500 (35.883)	Prec@5 72.000 (66.508)
Epoch: [6][8660/9018]	Time 0.611 (0.608)	Data 0.001 (0.001)	Loss 2.5254 (2.6556)	Prec@1 41.500 (35.885)	Prec@5 68.000 (66.508)
Epoch: [6][8670/9018]	Time 0.623 (0.608)	Data 0.001 (0.001)	Loss 2.7034 (2.6555)	Prec@1 36.000 (35.885)	Prec@5 67.500 (66.510)
Epoch: [6][8680/9018]	Time 0.620 (0.608)	Data 0.001 (0.001)	Loss 2.7943 (2.6555)	Prec@1 31.000 (35.885)	Prec@5 64.000 (66.509)
Epoch: [6][8690/9018]	Time 0.605 (0.608)	Data 0.001 (0.001)	Loss 2.5953 (2.6555)	Prec@1 39.500 (35.885)	Prec@5 64.500 (66.509)
Epoch: [6][8700/9018]	Time 0.599 (0.608)	Data 0.001 (0.001)	Loss 2.5781 (2.6554)	Prec@1 33.000 (35.885)	Prec@5 69.000 (66.510)
Epoch: [6][8710/9018]	Time 0.604 (0.608)	Data 0.001 (0.001)	Loss 2.5442 (2.6554)	Prec@1 32.000 (35.883)	Prec@5 67.500 (66.510)
Epoch: [6][8720/9018]	Time 0.604 (0.608)	Data 0.001 (0.001)	Loss 2.5680 (2.6553)	Prec@1 40.000 (35.885)	Prec@5 71.500 (66.512)
Epoch: [6][8730/9018]	Time 0.629 (0.608)	Data 0.001 (0.001)	Loss 2.7958 (2.6553)	Prec@1 32.500 (35.886)	Prec@5 64.000 (66.514)
Epoch: [6][8740/9018]	Time 0.594 (0.608)	Data 0.001 (0.001)	Loss 2.6117 (2.6553)	Prec@1 37.500 (35.886)	Prec@5 66.000 (66.512)
Epoch: [6][8750/9018]	Time 0.595 (0.608)	Data 0.001 (0.001)	Loss 2.5688 (2.6554)	Prec@1 43.500 (35.884)	Prec@5 64.000 (66.510)
Epoch: [6][8760/9018]	Time 0.635 (0.608)	Data 0.001 (0.001)	Loss 2.8504 (2.6553)	Prec@1 33.000 (35.884)	Prec@5 63.000 (66.511)
Epoch: [6][8770/9018]	Time 0.595 (0.608)	Data 0.001 (0.001)	Loss 2.4957 (2.6552)	Prec@1 41.000 (35.887)	Prec@5 70.000 (66.511)
Epoch: [6][8780/9018]	Time 0.630 (0.608)	Data 0.001 (0.001)	Loss 2.7718 (2.6552)	Prec@1 36.000 (35.889)	Prec@5 64.000 (66.511)
Epoch: [6][8790/9018]	Time 0.595 (0.608)	Data 0.001 (0.001)	Loss 2.6374 (2.6552)	Prec@1 38.500 (35.890)	Prec@5 68.000 (66.514)
Epoch: [6][8800/9018]	Time 0.630 (0.608)	Data 0.001 (0.001)	Loss 2.7025 (2.6551)	Prec@1 35.500 (35.891)	Prec@5 64.000 (66.515)
Epoch: [6][8810/9018]	Time 0.604 (0.608)	Data 0.001 (0.001)	Loss 2.4680 (2.6550)	Prec@1 37.000 (35.893)	Prec@5 71.000 (66.517)
Epoch: [6][8820/9018]	Time 0.638 (0.608)	Data 0.001 (0.001)	Loss 2.7757 (2.6552)	Prec@1 34.500 (35.893)	Prec@5 61.000 (66.515)
Epoch: [6][8830/9018]	Time 0.592 (0.608)	Data 0.001 (0.001)	Loss 2.6738 (2.6551)	Prec@1 37.500 (35.895)	Prec@5 65.500 (66.515)
Epoch: [6][8840/9018]	Time 0.610 (0.608)	Data 0.001 (0.001)	Loss 2.8235 (2.6551)	Prec@1 30.500 (35.895)	Prec@5 64.000 (66.515)
Epoch: [6][8850/9018]	Time 0.606 (0.608)	Data 0.001 (0.001)	Loss 2.6392 (2.6550)	Prec@1 36.500 (35.896)	Prec@5 71.500 (66.517)
Epoch: [6][8860/9018]	Time 0.599 (0.608)	Data 0.001 (0.001)	Loss 2.7479 (2.6551)	Prec@1 32.000 (35.895)	Prec@5 62.500 (66.517)
Epoch: [6][8870/9018]	Time 0.619 (0.608)	Data 0.001 (0.001)	Loss 2.5928 (2.6551)	Prec@1 39.000 (35.894)	Prec@5 63.500 (66.516)
Epoch: [6][8880/9018]	Time 0.608 (0.608)	Data 0.001 (0.001)	Loss 2.3690 (2.6551)	Prec@1 42.500 (35.894)	Prec@5 71.000 (66.518)
Epoch: [6][8890/9018]	Time 0.599 (0.608)	Data 0.001 (0.001)	Loss 2.6484 (2.6549)	Prec@1 34.000 (35.897)	Prec@5 67.500 (66.520)
Epoch: [6][8900/9018]	Time 0.737 (0.608)	Data 0.001 (0.001)	Loss 2.4582 (2.6549)	Prec@1 42.000 (35.897)	Prec@5 69.000 (66.521)
Epoch: [6][8910/9018]	Time 0.615 (0.608)	Data 0.001 (0.001)	Loss 2.4635 (2.6548)	Prec@1 36.500 (35.900)	Prec@5 71.000 (66.524)
Epoch: [6][8920/9018]	Time 0.592 (0.608)	Data 0.001 (0.001)	Loss 2.7272 (2.6548)	Prec@1 30.000 (35.898)	Prec@5 60.000 (66.523)
Epoch: [6][8930/9018]	Time 0.620 (0.608)	Data 0.001 (0.001)	Loss 2.7582 (2.6549)	Prec@1 35.000 (35.897)	Prec@5 59.500 (66.523)
Epoch: [6][8940/9018]	Time 0.605 (0.608)	Data 0.001 (0.001)	Loss 2.6847 (2.6549)	Prec@1 34.000 (35.896)	Prec@5 64.500 (66.523)
Epoch: [6][8950/9018]	Time 0.690 (0.608)	Data 0.001 (0.001)	Loss 2.5702 (2.6548)	Prec@1 36.500 (35.897)	Prec@5 70.500 (66.525)
Epoch: [6][8960/9018]	Time 0.636 (0.608)	Data 0.001 (0.001)	Loss 2.6036 (2.6548)	Prec@1 35.500 (35.897)	Prec@5 71.000 (66.525)
Epoch: [6][8970/9018]	Time 0.594 (0.608)	Data 0.001 (0.001)	Loss 2.4671 (2.6547)	Prec@1 40.000 (35.898)	Prec@5 69.500 (66.525)
Epoch: [6][8980/9018]	Time 0.601 (0.608)	Data 0.001 (0.001)	Loss 2.7101 (2.6547)	Prec@1 34.000 (35.898)	Prec@5 66.500 (66.523)
Epoch: [6][8990/9018]	Time 0.593 (0.608)	Data 0.001 (0.001)	Loss 2.5593 (2.6548)	Prec@1 41.500 (35.898)	Prec@5 68.000 (66.522)
Epoch: [6][9000/9018]	Time 0.609 (0.608)	Data 0.001 (0.001)	Loss 2.6524 (2.6547)	Prec@1 35.500 (35.898)	Prec@5 69.000 (66.523)
Epoch: [6][9010/9018]	Time 0.605 (0.608)	Data 0.000 (0.001)	Loss 2.8522 (2.6548)	Prec@1 31.000 (35.898)	Prec@5 61.500 (66.522)
Test: [0/183]	Time 1.325 (1.325)	Loss 2.9498 (2.9498)	Prec@1 32.000 (32.000)	Prec@5 65.500 (65.500)
Test: [10/183]	Time 0.180 (0.290)	Loss 2.5586 (2.3391)	Prec@1 37.500 (39.636)	Prec@5 69.500 (74.864)
Test: [20/183]	Time 0.183 (0.244)	Loss 2.7003 (2.2761)	Prec@1 34.500 (41.333)	Prec@5 63.000 (75.786)
Test: [30/183]	Time 0.193 (0.229)	Loss 2.3124 (2.2356)	Prec@1 32.500 (42.258)	Prec@5 73.500 (76.000)
Test: [40/183]	Time 0.180 (0.222)	Loss 2.8147 (2.2631)	Prec@1 28.500 (42.378)	Prec@5 64.000 (74.890)
Test: [50/183]	Time 0.190 (0.216)	Loss 2.4343 (2.2896)	Prec@1 29.500 (41.814)	Prec@5 75.500 (74.294)
Test: [60/183]	Time 0.187 (0.212)	Loss 2.7694 (2.3605)	Prec@1 34.500 (40.115)	Prec@5 70.500 (73.156)
Test: [70/183]	Time 0.195 (0.209)	Loss 2.5254 (2.3672)	Prec@1 39.000 (39.697)	Prec@5 70.000 (73.239)
Test: [80/183]	Time 0.193 (0.207)	Loss 1.6572 (2.3380)	Prec@1 61.000 (40.438)	Prec@5 89.000 (73.623)
Test: [90/183]	Time 0.185 (0.206)	Loss 2.2448 (2.3407)	Prec@1 41.500 (40.335)	Prec@5 76.000 (73.698)
Test: [100/183]	Time 0.198 (0.205)	Loss 1.7208 (2.3470)	Prec@1 54.500 (40.124)	Prec@5 83.500 (73.614)
Test: [110/183]	Time 0.180 (0.204)	Loss 1.0257 (2.3242)	Prec@1 74.500 (40.685)	Prec@5 92.500 (74.005)
Test: [120/183]	Time 0.199 (0.203)	Loss 3.1136 (2.3387)	Prec@1 25.500 (40.314)	Prec@5 58.500 (73.678)
Test: [130/183]	Time 0.255 (0.202)	Loss 3.5597 (2.3371)	Prec@1 11.000 (40.218)	Prec@5 51.000 (73.725)
Test: [140/183]	Time 0.199 (0.202)	Loss 2.3147 (2.3257)	Prec@1 49.000 (40.656)	Prec@5 70.500 (73.950)
Test: [150/183]	Time 0.224 (0.202)	Loss 1.4144 (2.3289)	Prec@1 66.000 (40.609)	Prec@5 89.500 (73.821)
Test: [160/183]	Time 0.187 (0.201)	Loss 2.4986 (2.3181)	Prec@1 31.500 (41.050)	Prec@5 69.000 (73.966)
Test: [170/183]	Time 0.188 (0.201)	Loss 2.9676 (2.3530)	Prec@1 22.000 (40.377)	Prec@5 64.000 (73.234)
Test: [180/183]	Time 0.251 (0.201)	Loss 3.0077 (2.3694)	Prec@1 27.000 (40.141)	Prec@5 60.000 (72.854)
 * Prec@1 40.121 Prec@5 72.866
Epoch: [7][0/9018]	Time 2.719 (2.719)	Data 2.099 (2.099)	Loss 2.5431 (2.5431)	Prec@1 38.000 (38.000)	Prec@5 68.000 (68.000)
Epoch: [7][10/9018]	Time 0.601 (0.787)	Data 0.001 (0.191)	Loss 2.8459 (2.6421)	Prec@1 30.000 (34.727)	Prec@5 64.000 (66.545)
Epoch: [7][20/9018]	Time 0.598 (0.706)	Data 0.001 (0.101)	Loss 2.7043 (2.6315)	Prec@1 37.000 (35.952)	Prec@5 65.500 (66.571)
Epoch: [7][30/9018]	Time 0.714 (0.674)	Data 0.001 (0.068)	Loss 2.2059 (2.6107)	Prec@1 49.500 (36.194)	Prec@5 74.500 (67.258)
Epoch: [7][40/9018]	Time 0.596 (0.657)	Data 0.001 (0.052)	Loss 2.6470 (2.6039)	Prec@1 32.500 (36.415)	Prec@5 69.500 (67.476)
Epoch: [7][50/9018]	Time 0.593 (0.648)	Data 0.001 (0.042)	Loss 2.5085 (2.6174)	Prec@1 40.500 (36.353)	Prec@5 66.500 (67.245)
Epoch: [7][60/9018]	Time 0.614 (0.641)	Data 0.001 (0.035)	Loss 2.4737 (2.6191)	Prec@1 38.000 (36.607)	Prec@5 72.500 (67.082)
Epoch: [7][70/9018]	Time 0.598 (0.638)	Data 0.001 (0.030)	Loss 2.4648 (2.6162)	Prec@1 37.500 (36.556)	Prec@5 73.500 (67.134)
Epoch: [7][80/9018]	Time 0.614 (0.636)	Data 0.001 (0.027)	Loss 2.8306 (2.6142)	Prec@1 35.500 (36.537)	Prec@5 66.000 (67.247)
Epoch: [7][90/9018]	Time 0.612 (0.633)	Data 0.001 (0.024)	Loss 2.2753 (2.6050)	Prec@1 42.000 (36.637)	Prec@5 72.500 (67.390)
Epoch: [7][100/9018]	Time 0.593 (0.631)	Data 0.001 (0.022)	Loss 2.5669 (2.6030)	Prec@1 37.500 (36.559)	Prec@5 68.000 (67.426)
Epoch: [7][110/9018]	Time 0.592 (0.629)	Data 0.001 (0.020)	Loss 2.7587 (2.6054)	Prec@1 33.500 (36.405)	Prec@5 65.500 (67.365)
Epoch: [7][120/9018]	Time 0.594 (0.629)	Data 0.001 (0.018)	Loss 2.6082 (2.6049)	Prec@1 39.500 (36.566)	Prec@5 63.000 (67.397)
Epoch: [7][130/9018]	Time 0.607 (0.628)	Data 0.001 (0.017)	Loss 2.6056 (2.6121)	Prec@1 34.500 (36.385)	Prec@5 66.500 (67.263)
Epoch: [7][140/9018]	Time 0.597 (0.626)	Data 0.001 (0.016)	Loss 2.4600 (2.6094)	Prec@1 41.500 (36.422)	Prec@5 68.000 (67.337)
Epoch: [7][150/9018]	Time 0.600 (0.626)	Data 0.001 (0.015)	Loss 2.7863 (2.6062)	Prec@1 36.500 (36.490)	Prec@5 64.000 (67.364)
Epoch: [7][160/9018]	Time 0.619 (0.625)	Data 0.001 (0.014)	Loss 2.7944 (2.6051)	Prec@1 30.500 (36.512)	Prec@5 65.000 (67.385)
Epoch: [7][170/9018]	Time 0.629 (0.624)	Data 0.001 (0.013)	Loss 2.6063 (2.6096)	Prec@1 37.000 (36.409)	Prec@5 70.000 (67.351)
Epoch: [7][180/9018]	Time 0.611 (0.624)	Data 0.001 (0.012)	Loss 2.5775 (2.6078)	Prec@1 39.000 (36.467)	Prec@5 67.500 (67.403)
Epoch: [7][190/9018]	Time 0.599 (0.623)	Data 0.001 (0.012)	Loss 2.7785 (2.6103)	Prec@1 34.500 (36.411)	Prec@5 63.500 (67.356)
Epoch: [7][200/9018]	Time 0.600 (0.623)	Data 0.001 (0.011)	Loss 2.6816 (2.6122)	Prec@1 33.500 (36.356)	Prec@5 64.500 (67.323)
Epoch: [7][210/9018]	Time 0.616 (0.622)	Data 0.001 (0.011)	Loss 2.6439 (2.6096)	Prec@1 38.000 (36.410)	Prec@5 67.000 (67.327)
Epoch: [7][220/9018]	Time 0.598 (0.622)	Data 0.001 (0.010)	Loss 2.8438 (2.6124)	Prec@1 30.500 (36.351)	Prec@5 65.500 (67.292)
Epoch: [7][230/9018]	Time 0.605 (0.622)	Data 0.001 (0.010)	Loss 2.6809 (2.6101)	Prec@1 32.000 (36.374)	Prec@5 66.000 (67.377)
Epoch: [7][240/9018]	Time 0.590 (0.621)	Data 0.001 (0.009)	Loss 2.6387 (2.6091)	Prec@1 32.500 (36.359)	Prec@5 68.000 (67.382)
Epoch: [7][250/9018]	Time 0.597 (0.621)	Data 0.001 (0.009)	Loss 2.5126 (2.6109)	Prec@1 39.000 (36.351)	Prec@5 66.500 (67.313)
Epoch: [7][260/9018]	Time 0.597 (0.621)	Data 0.001 (0.009)	Loss 2.6693 (2.6088)	Prec@1 36.500 (36.431)	Prec@5 64.000 (67.362)
Epoch: [7][270/9018]	Time 0.603 (0.621)	Data 0.001 (0.008)	Loss 2.6684 (2.6088)	Prec@1 36.500 (36.458)	Prec@5 65.500 (67.358)
Epoch: [7][280/9018]	Time 0.594 (0.621)	Data 0.001 (0.008)	Loss 2.7814 (2.6101)	Prec@1 33.000 (36.447)	Prec@5 62.500 (67.342)
Epoch: [7][290/9018]	Time 0.602 (0.620)	Data 0.001 (0.008)	Loss 2.6597 (2.6082)	Prec@1 39.000 (36.479)	Prec@5 69.000 (67.421)
Epoch: [7][300/9018]	Time 0.604 (0.620)	Data 0.001 (0.008)	Loss 2.5885 (2.6080)	Prec@1 36.000 (36.503)	Prec@5 68.500 (67.440)
Epoch: [7][310/9018]	Time 0.705 (0.620)	Data 0.001 (0.007)	Loss 2.5909 (2.6095)	Prec@1 39.000 (36.474)	Prec@5 66.000 (67.415)
Epoch: [7][320/9018]	Time 0.618 (0.620)	Data 0.001 (0.007)	Loss 2.6422 (2.6091)	Prec@1 36.000 (36.474)	Prec@5 68.000 (67.439)
Epoch: [7][330/9018]	Time 0.598 (0.620)	Data 0.001 (0.007)	Loss 2.9596 (2.6124)	Prec@1 26.000 (36.417)	Prec@5 62.000 (67.384)
Epoch: [7][340/9018]	Time 0.622 (0.619)	Data 0.001 (0.007)	Loss 2.4482 (2.6141)	Prec@1 45.000 (36.433)	Prec@5 68.500 (67.362)
Epoch: [7][350/9018]	Time 0.631 (0.620)	Data 0.001 (0.007)	Loss 2.5607 (2.6157)	Prec@1 41.000 (36.450)	Prec@5 65.500 (67.325)
Epoch: [7][360/9018]	Time 0.723 (0.620)	Data 0.001 (0.007)	Loss 2.5117 (2.6151)	Prec@1 35.000 (36.458)	Prec@5 69.000 (67.325)
Epoch: [7][370/9018]	Time 0.599 (0.619)	Data 0.001 (0.006)	Loss 2.4926 (2.6139)	Prec@1 39.500 (36.492)	Prec@5 68.000 (67.326)
Epoch: [7][380/9018]	Time 0.592 (0.619)	Data 0.001 (0.006)	Loss 2.7657 (2.6133)	Prec@1 30.500 (36.503)	Prec@5 63.500 (67.350)
Epoch: [7][390/9018]	Time 0.600 (0.619)	Data 0.001 (0.006)	Loss 2.4596 (2.6133)	Prec@1 39.000 (36.531)	Prec@5 71.000 (67.354)
Epoch: [7][400/9018]	Time 0.631 (0.619)	Data 0.001 (0.006)	Loss 2.6296 (2.6127)	Prec@1 38.500 (36.541)	Prec@5 66.500 (67.340)
Epoch: [7][410/9018]	Time 0.621 (0.619)	Data 0.001 (0.006)	Loss 2.6385 (2.6141)	Prec@1 35.000 (36.507)	Prec@5 67.000 (67.277)
Epoch: [7][420/9018]	Time 0.635 (0.619)	Data 0.001 (0.006)	Loss 2.3859 (2.6135)	Prec@1 36.500 (36.499)	Prec@5 71.000 (67.299)
Epoch: [7][430/9018]	Time 0.595 (0.619)	Data 0.001 (0.006)	Loss 2.6278 (2.6146)	Prec@1 36.000 (36.481)	Prec@5 67.500 (67.281)
Epoch: [7][440/9018]	Time 0.603 (0.619)	Data 0.001 (0.006)	Loss 2.8123 (2.6164)	Prec@1 32.000 (36.460)	Prec@5 66.000 (67.245)
Epoch: [7][450/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 2.7954 (2.6185)	Prec@1 31.000 (36.401)	Prec@5 64.000 (67.191)
Epoch: [7][460/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 2.6193 (2.6182)	Prec@1 33.000 (36.431)	Prec@5 66.000 (67.208)
Epoch: [7][470/9018]	Time 0.634 (0.618)	Data 0.001 (0.005)	Loss 2.5197 (2.6189)	Prec@1 37.500 (36.414)	Prec@5 68.000 (67.169)
Epoch: [7][480/9018]	Time 0.595 (0.619)	Data 0.001 (0.005)	Loss 2.5364 (2.6189)	Prec@1 37.500 (36.424)	Prec@5 67.500 (67.155)
Epoch: [7][490/9018]	Time 0.604 (0.618)	Data 0.001 (0.005)	Loss 2.5890 (2.6180)	Prec@1 34.500 (36.414)	Prec@5 67.500 (67.177)
Epoch: [7][500/9018]	Time 0.602 (0.618)	Data 0.001 (0.005)	Loss 2.6299 (2.6179)	Prec@1 40.500 (36.438)	Prec@5 67.500 (67.197)
Epoch: [7][510/9018]	Time 0.603 (0.618)	Data 0.001 (0.005)	Loss 2.6503 (2.6193)	Prec@1 32.500 (36.405)	Prec@5 67.000 (67.166)
Epoch: [7][520/9018]	Time 0.620 (0.618)	Data 0.001 (0.005)	Loss 2.5981 (2.6187)	Prec@1 34.000 (36.437)	Prec@5 66.000 (67.168)
Epoch: [7][530/9018]	Time 0.599 (0.618)	Data 0.001 (0.005)	Loss 2.5936 (2.6191)	Prec@1 38.000 (36.428)	Prec@5 70.500 (67.184)
Epoch: [7][540/9018]	Time 0.650 (0.618)	Data 0.001 (0.005)	Loss 2.5665 (2.6176)	Prec@1 40.500 (36.454)	Prec@5 67.500 (67.212)
Epoch: [7][550/9018]	Time 0.594 (0.618)	Data 0.001 (0.005)	Loss 2.9538 (2.6186)	Prec@1 32.500 (36.457)	Prec@5 61.000 (67.201)
Epoch: [7][560/9018]	Time 0.599 (0.618)	Data 0.001 (0.005)	Loss 2.4289 (2.6184)	Prec@1 42.000 (36.474)	Prec@5 69.000 (67.198)
Epoch: [7][570/9018]	Time 0.628 (0.618)	Data 0.001 (0.004)	Loss 2.7546 (2.6174)	Prec@1 37.000 (36.485)	Prec@5 64.500 (67.230)
Epoch: [7][580/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 2.5401 (2.6185)	Prec@1 37.000 (36.460)	Prec@5 68.000 (67.205)
Epoch: [7][590/9018]	Time 0.619 (0.618)	Data 0.001 (0.004)	Loss 2.6828 (2.6176)	Prec@1 36.500 (36.470)	Prec@5 68.500 (67.234)
Epoch: [7][600/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.4518 (2.6168)	Prec@1 39.500 (36.502)	Prec@5 68.500 (67.244)
Epoch: [7][610/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 2.2689 (2.6157)	Prec@1 44.000 (36.526)	Prec@5 71.500 (67.261)
Epoch: [7][620/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 2.5269 (2.6159)	Prec@1 38.500 (36.546)	Prec@5 71.500 (67.260)
Epoch: [7][630/9018]	Time 0.610 (0.618)	Data 0.001 (0.004)	Loss 2.6366 (2.6164)	Prec@1 37.500 (36.558)	Prec@5 65.500 (67.242)
Epoch: [7][640/9018]	Time 0.708 (0.617)	Data 0.001 (0.004)	Loss 2.3784 (2.6156)	Prec@1 35.500 (36.547)	Prec@5 70.500 (67.259)
Epoch: [7][650/9018]	Time 0.637 (0.617)	Data 0.001 (0.004)	Loss 2.7981 (2.6156)	Prec@1 38.000 (36.554)	Prec@5 64.000 (67.255)
Epoch: [7][660/9018]	Time 0.593 (0.617)	Data 0.001 (0.004)	Loss 2.7214 (2.6164)	Prec@1 32.500 (36.526)	Prec@5 69.000 (67.253)
Epoch: [7][670/9018]	Time 0.623 (0.617)	Data 0.001 (0.004)	Loss 2.5160 (2.6172)	Prec@1 42.500 (36.526)	Prec@5 68.500 (67.244)
Epoch: [7][680/9018]	Time 0.616 (0.617)	Data 0.001 (0.004)	Loss 2.7131 (2.6172)	Prec@1 34.500 (36.533)	Prec@5 70.500 (67.264)
Epoch: [7][690/9018]	Time 0.729 (0.617)	Data 0.001 (0.004)	Loss 2.7603 (2.6177)	Prec@1 33.500 (36.533)	Prec@5 64.500 (67.238)
Epoch: [7][700/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.4143 (2.6178)	Prec@1 38.500 (36.535)	Prec@5 69.500 (67.228)
Epoch: [7][710/9018]	Time 0.592 (0.617)	Data 0.001 (0.004)	Loss 2.3281 (2.6172)	Prec@1 42.000 (36.544)	Prec@5 72.000 (67.260)
Epoch: [7][720/9018]	Time 0.606 (0.617)	Data 0.001 (0.004)	Loss 2.5128 (2.6184)	Prec@1 34.000 (36.520)	Prec@5 68.500 (67.229)
Epoch: [7][730/9018]	Time 0.609 (0.617)	Data 0.001 (0.004)	Loss 2.3294 (2.6190)	Prec@1 44.000 (36.506)	Prec@5 73.000 (67.209)
Epoch: [7][740/9018]	Time 0.644 (0.617)	Data 0.001 (0.004)	Loss 2.7433 (2.6200)	Prec@1 33.500 (36.479)	Prec@5 65.500 (67.196)
Epoch: [7][750/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 2.5575 (2.6198)	Prec@1 36.500 (36.487)	Prec@5 69.500 (67.206)
Epoch: [7][760/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 2.4332 (2.6203)	Prec@1 38.000 (36.486)	Prec@5 73.500 (67.217)
Epoch: [7][770/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.5441 (2.6199)	Prec@1 38.000 (36.496)	Prec@5 67.000 (67.220)
Epoch: [7][780/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.5281 (2.6195)	Prec@1 36.000 (36.507)	Prec@5 73.500 (67.243)
Epoch: [7][790/9018]	Time 0.637 (0.617)	Data 0.001 (0.003)	Loss 2.3566 (2.6181)	Prec@1 42.500 (36.542)	Prec@5 71.500 (67.256)
Epoch: [7][800/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.7084 (2.6182)	Prec@1 37.000 (36.541)	Prec@5 65.500 (67.247)
Epoch: [7][810/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 2.8247 (2.6191)	Prec@1 33.500 (36.539)	Prec@5 64.000 (67.227)
Epoch: [7][820/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 2.7161 (2.6194)	Prec@1 36.000 (36.533)	Prec@5 64.500 (67.214)
Epoch: [7][830/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.8144 (2.6204)	Prec@1 35.500 (36.525)	Prec@5 61.000 (67.194)
Epoch: [7][840/9018]	Time 0.633 (0.617)	Data 0.001 (0.003)	Loss 2.8383 (2.6219)	Prec@1 34.000 (36.492)	Prec@5 64.500 (67.161)
Epoch: [7][850/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.6513 (2.6221)	Prec@1 35.000 (36.485)	Prec@5 66.500 (67.162)
Epoch: [7][860/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.6240 (2.6222)	Prec@1 36.500 (36.476)	Prec@5 66.500 (67.153)
Epoch: [7][870/9018]	Time 0.617 (0.617)	Data 0.001 (0.003)	Loss 2.7954 (2.6229)	Prec@1 32.500 (36.454)	Prec@5 61.000 (67.126)
Epoch: [7][880/9018]	Time 0.618 (0.617)	Data 0.001 (0.003)	Loss 2.8717 (2.6234)	Prec@1 35.500 (36.458)	Prec@5 64.000 (67.125)
Epoch: [7][890/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.6418 (2.6228)	Prec@1 38.500 (36.474)	Prec@5 65.500 (67.139)
Epoch: [7][900/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 2.7569 (2.6229)	Prec@1 35.000 (36.469)	Prec@5 63.500 (67.140)
Epoch: [7][910/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.6617 (2.6232)	Prec@1 33.000 (36.453)	Prec@5 65.000 (67.137)
Epoch: [7][920/9018]	Time 0.644 (0.616)	Data 0.001 (0.003)	Loss 2.4310 (2.6236)	Prec@1 43.000 (36.455)	Prec@5 71.500 (67.130)
Epoch: [7][930/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.6363 (2.6243)	Prec@1 34.000 (36.439)	Prec@5 64.500 (67.102)
Epoch: [7][940/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 2.6133 (2.6242)	Prec@1 38.500 (36.434)	Prec@5 69.500 (67.104)
Epoch: [7][950/9018]	Time 0.633 (0.616)	Data 0.001 (0.003)	Loss 2.8522 (2.6240)	Prec@1 36.500 (36.433)	Prec@5 63.000 (67.114)
Epoch: [7][960/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.6191 (2.6249)	Prec@1 40.000 (36.419)	Prec@5 66.000 (67.102)
Epoch: [7][970/9018]	Time 0.713 (0.616)	Data 0.001 (0.003)	Loss 2.4273 (2.6250)	Prec@1 40.500 (36.406)	Prec@5 72.000 (67.115)
Epoch: [7][980/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.5478 (2.6247)	Prec@1 35.000 (36.405)	Prec@5 66.000 (67.118)
Epoch: [7][990/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.7274 (2.6241)	Prec@1 35.000 (36.420)	Prec@5 66.500 (67.128)
Epoch: [7][1000/9018]	Time 0.625 (0.616)	Data 0.001 (0.003)	Loss 2.6772 (2.6239)	Prec@1 35.000 (36.430)	Prec@5 70.000 (67.133)
Epoch: [7][1010/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.6417 (2.6242)	Prec@1 32.500 (36.429)	Prec@5 66.000 (67.129)
Epoch: [7][1020/9018]	Time 0.709 (0.616)	Data 0.001 (0.003)	Loss 2.8054 (2.6246)	Prec@1 31.000 (36.416)	Prec@5 63.000 (67.125)
Epoch: [7][1030/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 2.6594 (2.6247)	Prec@1 33.500 (36.401)	Prec@5 66.500 (67.124)
Epoch: [7][1040/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 2.7296 (2.6246)	Prec@1 32.500 (36.399)	Prec@5 67.500 (67.134)
Epoch: [7][1050/9018]	Time 0.625 (0.616)	Data 0.001 (0.003)	Loss 2.4095 (2.6249)	Prec@1 41.500 (36.397)	Prec@5 68.500 (67.124)
Epoch: [7][1060/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.6714 (2.6247)	Prec@1 39.500 (36.392)	Prec@5 64.500 (67.125)
Epoch: [7][1070/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.5519 (2.6244)	Prec@1 39.500 (36.409)	Prec@5 71.500 (67.138)
Epoch: [7][1080/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.8191 (2.6241)	Prec@1 32.500 (36.412)	Prec@5 66.500 (67.144)
Epoch: [7][1090/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.6496 (2.6238)	Prec@1 34.500 (36.423)	Prec@5 66.500 (67.153)
Epoch: [7][1100/9018]	Time 0.624 (0.616)	Data 0.001 (0.003)	Loss 2.9686 (2.6248)	Prec@1 30.500 (36.410)	Prec@5 62.000 (67.125)
Epoch: [7][1110/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 2.6757 (2.6249)	Prec@1 37.000 (36.409)	Prec@5 69.500 (67.123)
Epoch: [7][1120/9018]	Time 0.635 (0.616)	Data 0.001 (0.003)	Loss 2.8815 (2.6250)	Prec@1 30.500 (36.405)	Prec@5 62.500 (67.124)
Epoch: [7][1130/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.4209 (2.6254)	Prec@1 39.000 (36.395)	Prec@5 73.500 (67.123)
Epoch: [7][1140/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 2.6195 (2.6259)	Prec@1 34.500 (36.390)	Prec@5 66.500 (67.117)
Epoch: [7][1150/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 2.7559 (2.6259)	Prec@1 36.500 (36.381)	Prec@5 64.000 (67.123)
Epoch: [7][1160/9018]	Time 0.625 (0.616)	Data 0.001 (0.003)	Loss 2.6262 (2.6258)	Prec@1 36.000 (36.384)	Prec@5 65.000 (67.123)
Epoch: [7][1170/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.7690 (2.6257)	Prec@1 33.000 (36.384)	Prec@5 62.000 (67.140)
Epoch: [7][1180/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.4650 (2.6257)	Prec@1 39.500 (36.389)	Prec@5 71.500 (67.138)
Epoch: [7][1190/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.8144 (2.6267)	Prec@1 27.500 (36.366)	Prec@5 63.000 (67.123)
Epoch: [7][1200/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.7257 (2.6270)	Prec@1 37.500 (36.367)	Prec@5 65.000 (67.112)
Epoch: [7][1210/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8913 (2.6275)	Prec@1 33.500 (36.364)	Prec@5 61.500 (67.107)
Epoch: [7][1220/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6545 (2.6277)	Prec@1 38.500 (36.363)	Prec@5 65.000 (67.099)
Epoch: [7][1230/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5739 (2.6280)	Prec@1 40.000 (36.364)	Prec@5 67.000 (67.087)
Epoch: [7][1240/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5122 (2.6285)	Prec@1 39.000 (36.360)	Prec@5 72.500 (67.081)
Epoch: [7][1250/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.8195 (2.6288)	Prec@1 31.000 (36.356)	Prec@5 63.000 (67.076)
Epoch: [7][1260/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8559 (2.6289)	Prec@1 30.000 (36.362)	Prec@5 60.500 (67.062)
Epoch: [7][1270/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.5491 (2.6290)	Prec@1 35.500 (36.356)	Prec@5 69.500 (67.063)
Epoch: [7][1280/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5070 (2.6292)	Prec@1 39.500 (36.350)	Prec@5 69.500 (67.058)
Epoch: [7][1290/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.3392 (2.6291)	Prec@1 41.000 (36.350)	Prec@5 71.500 (67.061)
Epoch: [7][1300/9018]	Time 0.746 (0.616)	Data 0.001 (0.002)	Loss 2.4974 (2.6291)	Prec@1 38.500 (36.350)	Prec@5 73.000 (67.058)
Epoch: [7][1310/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.7602 (2.6292)	Prec@1 34.500 (36.356)	Prec@5 67.000 (67.049)
Epoch: [7][1320/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.7035 (2.6292)	Prec@1 31.500 (36.346)	Prec@5 62.500 (67.051)
Epoch: [7][1330/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5633 (2.6291)	Prec@1 38.000 (36.354)	Prec@5 68.500 (67.044)
Epoch: [7][1340/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6297 (2.6290)	Prec@1 38.000 (36.355)	Prec@5 65.500 (67.041)
Epoch: [7][1350/9018]	Time 0.714 (0.616)	Data 0.001 (0.002)	Loss 2.7163 (2.6287)	Prec@1 37.500 (36.364)	Prec@5 65.500 (67.053)
Epoch: [7][1360/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.7353 (2.6285)	Prec@1 33.500 (36.367)	Prec@5 68.500 (67.064)
Epoch: [7][1370/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6418 (2.6294)	Prec@1 35.000 (36.338)	Prec@5 67.000 (67.050)
Epoch: [7][1380/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.2196 (2.6292)	Prec@1 47.000 (36.338)	Prec@5 73.000 (67.054)
Epoch: [7][1390/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4596 (2.6288)	Prec@1 38.000 (36.353)	Prec@5 72.000 (67.064)
Epoch: [7][1400/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.6378 (2.6287)	Prec@1 34.500 (36.361)	Prec@5 67.500 (67.062)
Epoch: [7][1410/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.8186 (2.6292)	Prec@1 33.500 (36.352)	Prec@5 65.500 (67.057)
Epoch: [7][1420/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.9601 (2.6295)	Prec@1 25.500 (36.332)	Prec@5 64.500 (67.059)
Epoch: [7][1430/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.6746 (2.6294)	Prec@1 36.000 (36.332)	Prec@5 65.500 (67.069)
Epoch: [7][1440/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6015 (2.6292)	Prec@1 36.000 (36.332)	Prec@5 70.500 (67.072)
Epoch: [7][1450/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.7827 (2.6291)	Prec@1 34.500 (36.333)	Prec@5 65.500 (67.073)
Epoch: [7][1460/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.7278 (2.6291)	Prec@1 31.000 (36.329)	Prec@5 64.500 (67.078)
Epoch: [7][1470/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6143 (2.6298)	Prec@1 38.000 (36.320)	Prec@5 68.000 (67.063)
Epoch: [7][1480/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.7614 (2.6297)	Prec@1 35.000 (36.315)	Prec@5 65.500 (67.063)
Epoch: [7][1490/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.6362 (2.6295)	Prec@1 32.000 (36.321)	Prec@5 68.500 (67.058)
Epoch: [7][1500/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.6051 (2.6294)	Prec@1 34.000 (36.330)	Prec@5 64.000 (67.061)
Epoch: [7][1510/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.6236 (2.6296)	Prec@1 32.000 (36.328)	Prec@5 66.500 (67.056)
Epoch: [7][1520/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6008 (2.6289)	Prec@1 38.500 (36.341)	Prec@5 68.000 (67.070)
Epoch: [7][1530/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.4762 (2.6287)	Prec@1 40.000 (36.347)	Prec@5 69.000 (67.072)
Epoch: [7][1540/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.6477 (2.6290)	Prec@1 31.000 (36.335)	Prec@5 64.000 (67.063)
Epoch: [7][1550/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6186 (2.6291)	Prec@1 34.500 (36.334)	Prec@5 67.500 (67.059)
Epoch: [7][1560/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.7174 (2.6291)	Prec@1 35.500 (36.335)	Prec@5 67.500 (67.069)
Epoch: [7][1570/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5992 (2.6291)	Prec@1 34.000 (36.329)	Prec@5 66.000 (67.064)
Epoch: [7][1580/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.6822 (2.6293)	Prec@1 33.000 (36.328)	Prec@5 64.500 (67.059)
Epoch: [7][1590/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.7828 (2.6289)	Prec@1 38.500 (36.336)	Prec@5 62.500 (67.067)
Epoch: [7][1600/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 3.0547 (2.6301)	Prec@1 30.500 (36.313)	Prec@5 58.000 (67.046)
Epoch: [7][1610/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.6688 (2.6301)	Prec@1 35.000 (36.308)	Prec@5 67.500 (67.049)
Epoch: [7][1620/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.7096 (2.6301)	Prec@1 33.000 (36.307)	Prec@5 69.000 (67.052)
Epoch: [7][1630/9018]	Time 0.714 (0.616)	Data 0.001 (0.002)	Loss 2.4947 (2.6301)	Prec@1 39.500 (36.305)	Prec@5 67.500 (67.048)
Epoch: [7][1640/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.5222 (2.6295)	Prec@1 37.000 (36.314)	Prec@5 68.500 (67.056)
Epoch: [7][1650/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.9623 (2.6302)	Prec@1 32.000 (36.304)	Prec@5 64.000 (67.042)
Epoch: [7][1660/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.5959 (2.6298)	Prec@1 35.000 (36.305)	Prec@5 66.500 (67.050)
Epoch: [7][1670/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.7314 (2.6298)	Prec@1 34.000 (36.302)	Prec@5 65.500 (67.054)
Epoch: [7][1680/9018]	Time 0.711 (0.616)	Data 0.001 (0.002)	Loss 2.5812 (2.6299)	Prec@1 39.500 (36.305)	Prec@5 65.500 (67.052)
Epoch: [7][1690/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.8975 (2.6302)	Prec@1 33.500 (36.311)	Prec@5 65.000 (67.046)
Epoch: [7][1700/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.7491 (2.6300)	Prec@1 32.500 (36.312)	Prec@5 62.500 (67.048)
Epoch: [7][1710/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.5575 (2.6299)	Prec@1 39.500 (36.316)	Prec@5 67.500 (67.050)
Epoch: [7][1720/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.5770 (2.6299)	Prec@1 36.000 (36.318)	Prec@5 67.000 (67.049)
Epoch: [7][1730/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.5256 (2.6299)	Prec@1 39.500 (36.325)	Prec@5 69.500 (67.054)
Epoch: [7][1740/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4611 (2.6297)	Prec@1 41.500 (36.325)	Prec@5 71.000 (67.062)
Epoch: [7][1750/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.3980 (2.6297)	Prec@1 39.500 (36.326)	Prec@5 70.500 (67.063)
Epoch: [7][1760/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.9342 (2.6298)	Prec@1 34.000 (36.332)	Prec@5 60.000 (67.068)
Epoch: [7][1770/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7246 (2.6298)	Prec@1 38.000 (36.331)	Prec@5 64.500 (67.066)
Epoch: [7][1780/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.7690 (2.6302)	Prec@1 33.000 (36.330)	Prec@5 64.500 (67.061)
Epoch: [7][1790/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6803 (2.6303)	Prec@1 35.500 (36.326)	Prec@5 63.500 (67.059)
Epoch: [7][1800/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.8494 (2.6305)	Prec@1 36.000 (36.325)	Prec@5 62.000 (67.057)
Epoch: [7][1810/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4504 (2.6307)	Prec@1 39.000 (36.323)	Prec@5 70.000 (67.052)
Epoch: [7][1820/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5854 (2.6304)	Prec@1 38.500 (36.323)	Prec@5 69.000 (67.064)
Epoch: [7][1830/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.8981 (2.6308)	Prec@1 32.500 (36.314)	Prec@5 64.000 (67.056)
Epoch: [7][1840/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7368 (2.6311)	Prec@1 37.500 (36.307)	Prec@5 67.000 (67.048)
Epoch: [7][1850/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.6139 (2.6310)	Prec@1 39.000 (36.316)	Prec@5 67.500 (67.049)
Epoch: [7][1860/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6091 (2.6315)	Prec@1 37.500 (36.301)	Prec@5 66.500 (67.036)
Epoch: [7][1870/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.3768 (2.6313)	Prec@1 38.500 (36.299)	Prec@5 72.500 (67.041)
Epoch: [7][1880/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5905 (2.6312)	Prec@1 36.000 (36.297)	Prec@5 71.000 (67.051)
Epoch: [7][1890/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.5690 (2.6308)	Prec@1 36.000 (36.303)	Prec@5 68.500 (67.059)
Epoch: [7][1900/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7903 (2.6311)	Prec@1 34.500 (36.301)	Prec@5 63.500 (67.049)
Epoch: [7][1910/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5092 (2.6309)	Prec@1 35.000 (36.306)	Prec@5 68.500 (67.052)
Epoch: [7][1920/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.5229 (2.6313)	Prec@1 37.500 (36.299)	Prec@5 68.500 (67.045)
Epoch: [7][1930/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5666 (2.6317)	Prec@1 35.000 (36.292)	Prec@5 66.500 (67.038)
Epoch: [7][1940/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4021 (2.6316)	Prec@1 42.500 (36.296)	Prec@5 69.500 (67.043)
Epoch: [7][1950/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6040 (2.6321)	Prec@1 37.500 (36.288)	Prec@5 71.000 (67.033)
Epoch: [7][1960/9018]	Time 0.730 (0.615)	Data 0.001 (0.002)	Loss 2.5309 (2.6319)	Prec@1 36.000 (36.299)	Prec@5 70.500 (67.036)
Epoch: [7][1970/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6911 (2.6317)	Prec@1 34.500 (36.302)	Prec@5 65.000 (67.038)
Epoch: [7][1980/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4196 (2.6318)	Prec@1 41.000 (36.298)	Prec@5 70.500 (67.037)
Epoch: [7][1990/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.5491 (2.6316)	Prec@1 36.000 (36.299)	Prec@5 71.000 (67.040)
Epoch: [7][2000/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.5669 (2.6318)	Prec@1 38.500 (36.291)	Prec@5 67.000 (67.034)
Epoch: [7][2010/9018]	Time 0.738 (0.615)	Data 0.001 (0.002)	Loss 2.4758 (2.6315)	Prec@1 41.000 (36.297)	Prec@5 69.000 (67.042)
Epoch: [7][2020/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.6238 (2.6318)	Prec@1 35.500 (36.285)	Prec@5 69.500 (67.035)
Epoch: [7][2030/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6666 (2.6319)	Prec@1 39.500 (36.287)	Prec@5 67.000 (67.035)
Epoch: [7][2040/9018]	Time 0.638 (0.615)	Data 0.001 (0.002)	Loss 2.6049 (2.6318)	Prec@1 37.500 (36.289)	Prec@5 68.000 (67.036)
Epoch: [7][2050/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6904 (2.6319)	Prec@1 31.500 (36.283)	Prec@5 66.500 (67.037)
Epoch: [7][2060/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.7361 (2.6322)	Prec@1 34.000 (36.278)	Prec@5 65.000 (67.026)
Epoch: [7][2070/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.6096 (2.6324)	Prec@1 38.000 (36.273)	Prec@5 69.000 (67.025)
Epoch: [7][2080/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5431 (2.6324)	Prec@1 39.500 (36.274)	Prec@5 67.500 (67.023)
Epoch: [7][2090/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.7076 (2.6323)	Prec@1 36.000 (36.278)	Prec@5 64.500 (67.023)
Epoch: [7][2100/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.6137 (2.6323)	Prec@1 35.500 (36.282)	Prec@5 66.500 (67.025)
Epoch: [7][2110/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5253 (2.6324)	Prec@1 37.500 (36.280)	Prec@5 71.500 (67.027)
Epoch: [7][2120/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 3.0545 (2.6327)	Prec@1 29.000 (36.275)	Prec@5 55.000 (67.020)
Epoch: [7][2130/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7243 (2.6328)	Prec@1 35.000 (36.268)	Prec@5 64.500 (67.015)
Epoch: [7][2140/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.6101 (2.6329)	Prec@1 40.000 (36.267)	Prec@5 68.000 (67.013)
Epoch: [7][2150/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5523 (2.6327)	Prec@1 38.000 (36.268)	Prec@5 70.000 (67.015)
Epoch: [7][2160/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.5540 (2.6329)	Prec@1 41.000 (36.268)	Prec@5 66.500 (67.011)
Epoch: [7][2170/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.6441 (2.6329)	Prec@1 32.500 (36.269)	Prec@5 68.500 (67.010)
Epoch: [7][2180/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.5715 (2.6331)	Prec@1 37.500 (36.258)	Prec@5 65.500 (67.011)
Epoch: [7][2190/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.7431 (2.6331)	Prec@1 34.500 (36.256)	Prec@5 62.000 (67.009)
Epoch: [7][2200/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5426 (2.6337)	Prec@1 36.000 (36.247)	Prec@5 74.000 (66.995)
Epoch: [7][2210/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5730 (2.6338)	Prec@1 36.500 (36.245)	Prec@5 64.000 (66.987)
Epoch: [7][2220/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6655 (2.6340)	Prec@1 36.500 (36.247)	Prec@5 68.000 (66.985)
Epoch: [7][2230/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.6979 (2.6340)	Prec@1 40.000 (36.251)	Prec@5 64.000 (66.985)
Epoch: [7][2240/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.8575 (2.6342)	Prec@1 35.000 (36.249)	Prec@5 62.000 (66.979)
Epoch: [7][2250/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7042 (2.6343)	Prec@1 32.000 (36.244)	Prec@5 66.000 (66.978)
Epoch: [7][2260/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.5667 (2.6345)	Prec@1 33.500 (36.238)	Prec@5 70.000 (66.973)
Epoch: [7][2270/9018]	Time 0.589 (0.615)	Data 0.001 (0.002)	Loss 2.4624 (2.6342)	Prec@1 39.500 (36.247)	Prec@5 67.500 (66.975)
Epoch: [7][2280/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7151 (2.6346)	Prec@1 36.500 (36.241)	Prec@5 60.500 (66.966)
Epoch: [7][2290/9018]	Time 0.711 (0.615)	Data 0.001 (0.002)	Loss 2.5824 (2.6346)	Prec@1 38.000 (36.239)	Prec@5 68.500 (66.963)
Epoch: [7][2300/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.8361 (2.6346)	Prec@1 30.500 (36.238)	Prec@5 60.000 (66.958)
Epoch: [7][2310/9018]	Time 0.643 (0.615)	Data 0.001 (0.002)	Loss 2.8068 (2.6343)	Prec@1 34.000 (36.238)	Prec@5 61.500 (66.966)
Epoch: [7][2320/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5579 (2.6341)	Prec@1 37.500 (36.238)	Prec@5 71.000 (66.970)
Epoch: [7][2330/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4570 (2.6338)	Prec@1 42.000 (36.247)	Prec@5 68.000 (66.977)
Epoch: [7][2340/9018]	Time 0.711 (0.615)	Data 0.001 (0.002)	Loss 2.6057 (2.6338)	Prec@1 32.000 (36.249)	Prec@5 66.500 (66.977)
Epoch: [7][2350/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.5462 (2.6334)	Prec@1 37.000 (36.254)	Prec@5 68.500 (66.987)
Epoch: [7][2360/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.7785 (2.6335)	Prec@1 28.000 (36.248)	Prec@5 66.500 (66.980)
Epoch: [7][2370/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.4681 (2.6333)	Prec@1 42.000 (36.253)	Prec@5 65.500 (66.985)
Epoch: [7][2380/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7885 (2.6336)	Prec@1 32.500 (36.249)	Prec@5 67.500 (66.982)
Epoch: [7][2390/9018]	Time 0.637 (0.615)	Data 0.001 (0.002)	Loss 2.6989 (2.6334)	Prec@1 32.000 (36.255)	Prec@5 69.000 (66.988)
Epoch: [7][2400/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.8877 (2.6335)	Prec@1 30.000 (36.249)	Prec@5 63.000 (66.989)
Epoch: [7][2410/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.6716 (2.6336)	Prec@1 34.500 (36.246)	Prec@5 66.500 (66.988)
Epoch: [7][2420/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.5723 (2.6336)	Prec@1 37.000 (36.247)	Prec@5 67.000 (66.986)
Epoch: [7][2430/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5888 (2.6337)	Prec@1 37.500 (36.246)	Prec@5 68.500 (66.981)
Epoch: [7][2440/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.6947 (2.6339)	Prec@1 36.000 (36.249)	Prec@5 67.000 (66.978)
Epoch: [7][2450/9018]	Time 0.648 (0.615)	Data 0.001 (0.002)	Loss 2.6727 (2.6338)	Prec@1 32.500 (36.246)	Prec@5 65.500 (66.976)
Epoch: [7][2460/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.6026 (2.6339)	Prec@1 38.500 (36.249)	Prec@5 66.500 (66.972)
Epoch: [7][2470/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4102 (2.6336)	Prec@1 41.000 (36.255)	Prec@5 73.500 (66.980)
Epoch: [7][2480/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.3031 (2.6334)	Prec@1 44.000 (36.262)	Prec@5 72.500 (66.983)
Epoch: [7][2490/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5313 (2.6336)	Prec@1 35.500 (36.259)	Prec@5 68.000 (66.979)
Epoch: [7][2500/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.4106 (2.6335)	Prec@1 40.500 (36.253)	Prec@5 69.000 (66.982)
Epoch: [7][2510/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.3890 (2.6333)	Prec@1 39.500 (36.257)	Prec@5 72.000 (66.986)
Epoch: [7][2520/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5641 (2.6330)	Prec@1 38.000 (36.262)	Prec@5 68.500 (66.994)
Epoch: [7][2530/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.5200 (2.6328)	Prec@1 39.000 (36.264)	Prec@5 72.500 (66.996)
Epoch: [7][2540/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.6077 (2.6327)	Prec@1 37.000 (36.265)	Prec@5 65.000 (66.999)
Epoch: [7][2550/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.9109 (2.6330)	Prec@1 27.500 (36.259)	Prec@5 58.500 (66.994)
Epoch: [7][2560/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5333 (2.6331)	Prec@1 37.500 (36.256)	Prec@5 67.500 (66.995)
Epoch: [7][2570/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.6728 (2.6331)	Prec@1 36.000 (36.256)	Prec@5 65.500 (66.992)
Epoch: [7][2580/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6999 (2.6332)	Prec@1 36.000 (36.256)	Prec@5 64.000 (66.994)
Epoch: [7][2590/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6919 (2.6330)	Prec@1 34.500 (36.261)	Prec@5 65.000 (66.996)
Epoch: [7][2600/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.8288 (2.6329)	Prec@1 30.500 (36.259)	Prec@5 58.500 (66.996)
Epoch: [7][2610/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.6971 (2.6328)	Prec@1 34.500 (36.262)	Prec@5 66.500 (66.997)
Epoch: [7][2620/9018]	Time 0.723 (0.615)	Data 0.001 (0.002)	Loss 2.6137 (2.6330)	Prec@1 37.500 (36.258)	Prec@5 67.000 (66.997)
Epoch: [7][2630/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.5599 (2.6328)	Prec@1 35.500 (36.258)	Prec@5 70.500 (67.002)
Epoch: [7][2640/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.7623 (2.6325)	Prec@1 34.000 (36.262)	Prec@5 66.000 (67.008)
Epoch: [7][2650/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7357 (2.6324)	Prec@1 33.000 (36.262)	Prec@5 62.000 (67.012)
Epoch: [7][2660/9018]	Time 0.636 (0.615)	Data 0.001 (0.002)	Loss 2.7651 (2.6323)	Prec@1 35.000 (36.264)	Prec@5 63.000 (67.015)
Epoch: [7][2670/9018]	Time 0.713 (0.615)	Data 0.001 (0.002)	Loss 2.7879 (2.6321)	Prec@1 33.000 (36.265)	Prec@5 62.500 (67.019)
Epoch: [7][2680/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6714 (2.6321)	Prec@1 35.500 (36.265)	Prec@5 67.500 (67.019)
Epoch: [7][2690/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.5453 (2.6321)	Prec@1 35.500 (36.263)	Prec@5 69.000 (67.020)
Epoch: [7][2700/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.5684 (2.6321)	Prec@1 35.000 (36.259)	Prec@5 64.500 (67.021)
Epoch: [7][2710/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.9011 (2.6324)	Prec@1 35.000 (36.258)	Prec@5 59.500 (67.009)
Epoch: [7][2720/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.4393 (2.6326)	Prec@1 40.500 (36.253)	Prec@5 74.000 (67.007)
Epoch: [7][2730/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4319 (2.6325)	Prec@1 43.500 (36.255)	Prec@5 69.500 (67.007)
Epoch: [7][2740/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4961 (2.6323)	Prec@1 43.000 (36.260)	Prec@5 67.500 (67.010)
Epoch: [7][2750/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.7657 (2.6325)	Prec@1 35.500 (36.258)	Prec@5 63.000 (67.008)
Epoch: [7][2760/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.7016 (2.6326)	Prec@1 34.000 (36.256)	Prec@5 66.500 (67.001)
Epoch: [7][2770/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.3356 (2.6325)	Prec@1 43.500 (36.256)	Prec@5 73.500 (67.000)
Epoch: [7][2780/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.7909 (2.6327)	Prec@1 35.500 (36.253)	Prec@5 59.000 (66.995)
Epoch: [7][2790/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.8119 (2.6327)	Prec@1 33.500 (36.254)	Prec@5 64.000 (66.995)
Epoch: [7][2800/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.5333 (2.6327)	Prec@1 38.000 (36.255)	Prec@5 67.500 (66.996)
Epoch: [7][2810/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6751 (2.6327)	Prec@1 33.500 (36.252)	Prec@5 68.500 (67.001)
Epoch: [7][2820/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6931 (2.6326)	Prec@1 35.500 (36.256)	Prec@5 67.000 (67.000)
Epoch: [7][2830/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.5575 (2.6325)	Prec@1 35.500 (36.259)	Prec@5 66.500 (67.001)
Epoch: [7][2840/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7198 (2.6326)	Prec@1 37.000 (36.256)	Prec@5 66.500 (67.001)
Epoch: [7][2850/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 3.0320 (2.6326)	Prec@1 30.000 (36.258)	Prec@5 57.500 (66.997)
Epoch: [7][2860/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7465 (2.6325)	Prec@1 32.000 (36.257)	Prec@5 64.000 (67.000)
Epoch: [7][2870/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6761 (2.6325)	Prec@1 37.500 (36.259)	Prec@5 63.500 (67.001)
Epoch: [7][2880/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7401 (2.6324)	Prec@1 33.500 (36.257)	Prec@5 64.000 (67.001)
Epoch: [7][2890/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4768 (2.6324)	Prec@1 39.500 (36.257)	Prec@5 70.000 (67.003)
Epoch: [7][2900/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4880 (2.6325)	Prec@1 38.500 (36.256)	Prec@5 70.500 (67.002)
Epoch: [7][2910/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7218 (2.6324)	Prec@1 36.500 (36.260)	Prec@5 66.000 (67.001)
Epoch: [7][2920/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6444 (2.6324)	Prec@1 32.000 (36.258)	Prec@5 66.500 (67.000)
Epoch: [7][2930/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6482 (2.6325)	Prec@1 35.500 (36.259)	Prec@5 63.000 (66.999)
Epoch: [7][2940/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5827 (2.6323)	Prec@1 39.500 (36.266)	Prec@5 67.500 (67.003)
Epoch: [7][2950/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.4291 (2.6323)	Prec@1 40.500 (36.260)	Prec@5 69.500 (67.006)
Epoch: [7][2960/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6751 (2.6325)	Prec@1 36.500 (36.259)	Prec@5 68.500 (67.001)
Epoch: [7][2970/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4860 (2.6324)	Prec@1 41.500 (36.260)	Prec@5 69.500 (67.003)
Epoch: [7][2980/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7711 (2.6325)	Prec@1 33.000 (36.260)	Prec@5 63.000 (66.999)
Epoch: [7][2990/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5266 (2.6325)	Prec@1 39.500 (36.263)	Prec@5 67.500 (66.997)
Epoch: [7][3000/9018]	Time 0.700 (0.615)	Data 0.001 (0.001)	Loss 2.9448 (2.6326)	Prec@1 31.500 (36.258)	Prec@5 60.000 (66.994)
Epoch: [7][3010/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5108 (2.6327)	Prec@1 41.000 (36.264)	Prec@5 68.000 (66.988)
Epoch: [7][3020/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5362 (2.6326)	Prec@1 41.000 (36.271)	Prec@5 66.000 (66.991)
Epoch: [7][3030/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5666 (2.6326)	Prec@1 34.000 (36.271)	Prec@5 67.500 (66.989)
Epoch: [7][3040/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.8464 (2.6329)	Prec@1 31.000 (36.267)	Prec@5 64.500 (66.985)
Epoch: [7][3050/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5567 (2.6330)	Prec@1 36.000 (36.261)	Prec@5 71.000 (66.982)
Epoch: [7][3060/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6461 (2.6332)	Prec@1 36.000 (36.261)	Prec@5 66.000 (66.975)
Epoch: [7][3070/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6797 (2.6331)	Prec@1 38.000 (36.265)	Prec@5 65.000 (66.975)
Epoch: [7][3080/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7483 (2.6328)	Prec@1 35.000 (36.270)	Prec@5 62.000 (66.980)
Epoch: [7][3090/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4158 (2.6327)	Prec@1 41.500 (36.273)	Prec@5 72.000 (66.983)
Epoch: [7][3100/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7245 (2.6328)	Prec@1 33.500 (36.269)	Prec@5 67.500 (66.981)
Epoch: [7][3110/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5133 (2.6330)	Prec@1 37.000 (36.267)	Prec@5 73.000 (66.977)
Epoch: [7][3120/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4716 (2.6332)	Prec@1 36.500 (36.261)	Prec@5 71.000 (66.974)
Epoch: [7][3130/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6599 (2.6330)	Prec@1 39.000 (36.267)	Prec@5 66.000 (66.977)
Epoch: [7][3140/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4398 (2.6333)	Prec@1 40.500 (36.261)	Prec@5 70.000 (66.973)
Epoch: [7][3150/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6144 (2.6333)	Prec@1 33.000 (36.264)	Prec@5 66.500 (66.974)
Epoch: [7][3160/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3438 (2.6335)	Prec@1 42.500 (36.260)	Prec@5 73.500 (66.967)
Epoch: [7][3170/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8008 (2.6336)	Prec@1 31.500 (36.254)	Prec@5 63.500 (66.965)
Epoch: [7][3180/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.5756 (2.6337)	Prec@1 33.000 (36.251)	Prec@5 70.000 (66.964)
Epoch: [7][3190/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6607 (2.6338)	Prec@1 32.000 (36.250)	Prec@5 65.000 (66.963)
Epoch: [7][3200/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6522 (2.6339)	Prec@1 34.500 (36.251)	Prec@5 67.500 (66.962)
Epoch: [7][3210/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5475 (2.6338)	Prec@1 44.000 (36.250)	Prec@5 69.000 (66.962)
Epoch: [7][3220/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5908 (2.6339)	Prec@1 34.000 (36.248)	Prec@5 65.500 (66.958)
Epoch: [7][3230/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.8254 (2.6340)	Prec@1 30.500 (36.247)	Prec@5 63.500 (66.953)
Epoch: [7][3240/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.3846 (2.6340)	Prec@1 40.500 (36.247)	Prec@5 73.000 (66.953)
Epoch: [7][3250/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6923 (2.6339)	Prec@1 32.500 (36.248)	Prec@5 68.000 (66.956)
Epoch: [7][3260/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.3956 (2.6339)	Prec@1 42.000 (36.244)	Prec@5 70.000 (66.956)
Epoch: [7][3270/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7455 (2.6339)	Prec@1 31.000 (36.244)	Prec@5 62.500 (66.954)
Epoch: [7][3280/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.5955 (2.6340)	Prec@1 34.500 (36.239)	Prec@5 69.000 (66.953)
Epoch: [7][3290/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7100 (2.6341)	Prec@1 35.500 (36.241)	Prec@5 63.000 (66.954)
Epoch: [7][3300/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7093 (2.6341)	Prec@1 31.500 (36.239)	Prec@5 64.500 (66.952)
Epoch: [7][3310/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.7649 (2.6344)	Prec@1 31.000 (36.236)	Prec@5 65.500 (66.948)
Epoch: [7][3320/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5219 (2.6341)	Prec@1 32.500 (36.239)	Prec@5 68.000 (66.953)
Epoch: [7][3330/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.6069 (2.6341)	Prec@1 36.500 (36.242)	Prec@5 68.500 (66.954)
Epoch: [7][3340/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5789 (2.6340)	Prec@1 35.000 (36.245)	Prec@5 67.500 (66.956)
Epoch: [7][3350/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6589 (2.6339)	Prec@1 33.000 (36.245)	Prec@5 69.000 (66.956)
Epoch: [7][3360/9018]	Time 0.631 (0.615)	Data 0.003 (0.001)	Loss 2.4854 (2.6340)	Prec@1 44.000 (36.247)	Prec@5 65.000 (66.952)
Epoch: [7][3370/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5434 (2.6338)	Prec@1 32.500 (36.248)	Prec@5 70.500 (66.956)
Epoch: [7][3380/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.8024 (2.6340)	Prec@1 36.500 (36.249)	Prec@5 62.500 (66.953)
Epoch: [7][3390/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4888 (2.6340)	Prec@1 38.000 (36.247)	Prec@5 69.000 (66.955)
Epoch: [7][3400/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.3193 (2.6342)	Prec@1 44.000 (36.247)	Prec@5 73.000 (66.953)
Epoch: [7][3410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6640 (2.6342)	Prec@1 33.500 (36.248)	Prec@5 66.000 (66.952)
Epoch: [7][3420/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8453 (2.6342)	Prec@1 31.500 (36.247)	Prec@5 62.500 (66.951)
Epoch: [7][3430/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2963 (2.6341)	Prec@1 39.500 (36.247)	Prec@5 72.000 (66.952)
Epoch: [7][3440/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.7074 (2.6341)	Prec@1 35.500 (36.247)	Prec@5 64.500 (66.950)
Epoch: [7][3450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5854 (2.6340)	Prec@1 39.000 (36.247)	Prec@5 69.500 (66.953)
Epoch: [7][3460/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6839 (2.6340)	Prec@1 37.500 (36.247)	Prec@5 65.000 (66.952)
Epoch: [7][3470/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7000 (2.6340)	Prec@1 34.500 (36.245)	Prec@5 68.500 (66.951)
Epoch: [7][3480/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4724 (2.6340)	Prec@1 35.500 (36.246)	Prec@5 71.500 (66.951)
Epoch: [7][3490/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6318 (2.6339)	Prec@1 37.000 (36.249)	Prec@5 67.000 (66.953)
Epoch: [7][3500/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7950 (2.6342)	Prec@1 32.000 (36.243)	Prec@5 64.000 (66.949)
Epoch: [7][3510/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7122 (2.6341)	Prec@1 35.000 (36.246)	Prec@5 67.000 (66.951)
Epoch: [7][3520/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6561 (2.6340)	Prec@1 33.500 (36.246)	Prec@5 66.000 (66.950)
Epoch: [7][3530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6219 (2.6342)	Prec@1 36.000 (36.244)	Prec@5 63.500 (66.946)
Epoch: [7][3540/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7651 (2.6343)	Prec@1 34.000 (36.239)	Prec@5 64.000 (66.946)
Epoch: [7][3550/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7038 (2.6342)	Prec@1 34.000 (36.238)	Prec@5 68.500 (66.949)
Epoch: [7][3560/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5950 (2.6341)	Prec@1 37.500 (36.242)	Prec@5 69.000 (66.947)
Epoch: [7][3570/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6800 (2.6340)	Prec@1 36.500 (36.242)	Prec@5 62.500 (66.948)
Epoch: [7][3580/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6490 (2.6339)	Prec@1 33.500 (36.242)	Prec@5 68.500 (66.945)
Epoch: [7][3590/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.3968 (2.6339)	Prec@1 41.500 (36.245)	Prec@5 71.000 (66.945)
Epoch: [7][3600/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6843 (2.6340)	Prec@1 36.500 (36.241)	Prec@5 67.000 (66.945)
Epoch: [7][3610/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.7241 (2.6340)	Prec@1 34.000 (36.241)	Prec@5 63.500 (66.944)
Epoch: [7][3620/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5700 (2.6340)	Prec@1 34.500 (36.242)	Prec@5 71.000 (66.946)
Epoch: [7][3630/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4496 (2.6338)	Prec@1 40.500 (36.248)	Prec@5 69.000 (66.949)
Epoch: [7][3640/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3572 (2.6336)	Prec@1 43.000 (36.255)	Prec@5 70.500 (66.952)
Epoch: [7][3650/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4299 (2.6334)	Prec@1 35.500 (36.257)	Prec@5 72.000 (66.956)
Epoch: [7][3660/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.8645 (2.6337)	Prec@1 31.000 (36.250)	Prec@5 63.500 (66.952)
Epoch: [7][3670/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.6035 (2.6338)	Prec@1 35.000 (36.249)	Prec@5 66.500 (66.950)
Epoch: [7][3680/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5522 (2.6339)	Prec@1 37.000 (36.247)	Prec@5 71.000 (66.947)
Epoch: [7][3690/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4696 (2.6337)	Prec@1 43.000 (36.250)	Prec@5 67.000 (66.949)
Epoch: [7][3700/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5458 (2.6335)	Prec@1 39.500 (36.255)	Prec@5 71.500 (66.951)
Epoch: [7][3710/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5581 (2.6337)	Prec@1 38.500 (36.251)	Prec@5 68.000 (66.950)
Epoch: [7][3720/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.8073 (2.6335)	Prec@1 35.500 (36.256)	Prec@5 66.500 (66.953)
Epoch: [7][3730/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.9399 (2.6336)	Prec@1 34.000 (36.254)	Prec@5 62.000 (66.954)
Epoch: [7][3740/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4506 (2.6335)	Prec@1 35.000 (36.255)	Prec@5 67.500 (66.955)
Epoch: [7][3750/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7381 (2.6335)	Prec@1 37.000 (36.256)	Prec@5 67.000 (66.956)
Epoch: [7][3760/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6159 (2.6336)	Prec@1 39.500 (36.256)	Prec@5 69.000 (66.957)
Epoch: [7][3770/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8080 (2.6337)	Prec@1 35.000 (36.252)	Prec@5 66.500 (66.954)
Epoch: [7][3780/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3091 (2.6338)	Prec@1 44.500 (36.253)	Prec@5 74.000 (66.952)
Epoch: [7][3790/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.8075 (2.6338)	Prec@1 32.500 (36.254)	Prec@5 65.000 (66.951)
Epoch: [7][3800/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6485 (2.6339)	Prec@1 39.500 (36.254)	Prec@5 67.000 (66.950)
Epoch: [7][3810/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7139 (2.6340)	Prec@1 39.000 (36.251)	Prec@5 65.500 (66.948)
Epoch: [7][3820/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5221 (2.6338)	Prec@1 41.500 (36.256)	Prec@5 69.500 (66.950)
Epoch: [7][3830/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5071 (2.6339)	Prec@1 37.500 (36.254)	Prec@5 72.000 (66.949)
Epoch: [7][3840/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6440 (2.6338)	Prec@1 35.500 (36.254)	Prec@5 67.000 (66.950)
Epoch: [7][3850/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6687 (2.6336)	Prec@1 34.500 (36.262)	Prec@5 67.000 (66.952)
Epoch: [7][3860/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4436 (2.6334)	Prec@1 42.500 (36.262)	Prec@5 70.500 (66.956)
Epoch: [7][3870/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5064 (2.6335)	Prec@1 37.000 (36.259)	Prec@5 71.000 (66.957)
Epoch: [7][3880/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5849 (2.6333)	Prec@1 36.000 (36.262)	Prec@5 65.000 (66.958)
Epoch: [7][3890/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5166 (2.6331)	Prec@1 37.500 (36.265)	Prec@5 74.000 (66.965)
Epoch: [7][3900/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6332 (2.6329)	Prec@1 36.000 (36.270)	Prec@5 66.000 (66.969)
Epoch: [7][3910/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6961 (2.6331)	Prec@1 31.000 (36.266)	Prec@5 68.000 (66.966)
Epoch: [7][3920/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7904 (2.6331)	Prec@1 31.000 (36.262)	Prec@5 64.500 (66.965)
Epoch: [7][3930/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6640 (2.6330)	Prec@1 33.500 (36.263)	Prec@5 63.500 (66.968)
Epoch: [7][3940/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.8697 (2.6331)	Prec@1 34.500 (36.261)	Prec@5 61.500 (66.964)
Epoch: [7][3950/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5744 (2.6329)	Prec@1 37.500 (36.267)	Prec@5 67.000 (66.967)
Epoch: [7][3960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5941 (2.6331)	Prec@1 34.500 (36.263)	Prec@5 69.000 (66.963)
Epoch: [7][3970/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7125 (2.6332)	Prec@1 33.500 (36.260)	Prec@5 69.500 (66.961)
Epoch: [7][3980/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6517 (2.6333)	Prec@1 39.500 (36.258)	Prec@5 71.500 (66.960)
Epoch: [7][3990/9018]	Time 0.717 (0.615)	Data 0.001 (0.001)	Loss 2.5581 (2.6334)	Prec@1 36.000 (36.254)	Prec@5 70.500 (66.957)
Epoch: [7][4000/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8466 (2.6334)	Prec@1 31.500 (36.252)	Prec@5 62.500 (66.960)
Epoch: [7][4010/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6013 (2.6335)	Prec@1 38.000 (36.251)	Prec@5 67.500 (66.959)
Epoch: [7][4020/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.6831 (2.6335)	Prec@1 35.000 (36.249)	Prec@5 66.500 (66.955)
Epoch: [7][4030/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8231 (2.6336)	Prec@1 31.000 (36.245)	Prec@5 59.000 (66.951)
Epoch: [7][4040/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5101 (2.6337)	Prec@1 39.000 (36.244)	Prec@5 67.500 (66.950)
Epoch: [7][4050/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5760 (2.6336)	Prec@1 38.000 (36.245)	Prec@5 69.000 (66.951)
Epoch: [7][4060/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7370 (2.6335)	Prec@1 38.000 (36.248)	Prec@5 63.000 (66.953)
Epoch: [7][4070/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5767 (2.6334)	Prec@1 37.000 (36.253)	Prec@5 68.500 (66.956)
Epoch: [7][4080/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7426 (2.6335)	Prec@1 36.000 (36.249)	Prec@5 67.500 (66.952)
Epoch: [7][4090/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7193 (2.6336)	Prec@1 30.500 (36.249)	Prec@5 69.000 (66.952)
Epoch: [7][4100/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8533 (2.6337)	Prec@1 30.500 (36.245)	Prec@5 63.000 (66.953)
Epoch: [7][4110/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6528 (2.6337)	Prec@1 37.500 (36.244)	Prec@5 66.000 (66.956)
Epoch: [7][4120/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5299 (2.6337)	Prec@1 40.000 (36.242)	Prec@5 70.500 (66.957)
Epoch: [7][4130/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6873 (2.6337)	Prec@1 36.500 (36.244)	Prec@5 62.500 (66.960)
Epoch: [7][4140/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7757 (2.6336)	Prec@1 36.500 (36.253)	Prec@5 63.500 (66.966)
Epoch: [7][4150/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6257 (2.6335)	Prec@1 41.500 (36.255)	Prec@5 67.000 (66.970)
Epoch: [7][4160/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6733 (2.6334)	Prec@1 30.000 (36.255)	Prec@5 66.500 (66.968)
Epoch: [7][4170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6003 (2.6334)	Prec@1 39.000 (36.258)	Prec@5 69.000 (66.969)
Epoch: [7][4180/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2878 (2.6333)	Prec@1 40.000 (36.260)	Prec@5 74.000 (66.971)
Epoch: [7][4190/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7267 (2.6332)	Prec@1 30.500 (36.260)	Prec@5 63.000 (66.972)
Epoch: [7][4200/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6312 (2.6333)	Prec@1 36.000 (36.259)	Prec@5 69.500 (66.970)
Epoch: [7][4210/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7251 (2.6332)	Prec@1 30.500 (36.259)	Prec@5 65.000 (66.969)
Epoch: [7][4220/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6222 (2.6332)	Prec@1 33.500 (36.258)	Prec@5 67.000 (66.969)
Epoch: [7][4230/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7556 (2.6333)	Prec@1 36.500 (36.259)	Prec@5 65.500 (66.968)
Epoch: [7][4240/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4525 (2.6334)	Prec@1 38.500 (36.258)	Prec@5 74.000 (66.967)
Epoch: [7][4250/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4821 (2.6333)	Prec@1 35.500 (36.255)	Prec@5 69.500 (66.969)
Epoch: [7][4260/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5197 (2.6333)	Prec@1 34.000 (36.254)	Prec@5 66.000 (66.970)
Epoch: [7][4270/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.7135 (2.6333)	Prec@1 30.500 (36.252)	Prec@5 64.000 (66.970)
Epoch: [7][4280/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6405 (2.6334)	Prec@1 36.000 (36.248)	Prec@5 67.000 (66.966)
Epoch: [7][4290/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6658 (2.6331)	Prec@1 35.500 (36.252)	Prec@5 67.000 (66.972)
Epoch: [7][4300/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5842 (2.6329)	Prec@1 38.500 (36.256)	Prec@5 69.000 (66.975)
Epoch: [7][4310/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5928 (2.6331)	Prec@1 38.500 (36.257)	Prec@5 67.500 (66.973)
Epoch: [7][4320/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.7507 (2.6331)	Prec@1 36.000 (36.256)	Prec@5 63.000 (66.972)
Epoch: [7][4330/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.9410 (2.6331)	Prec@1 29.500 (36.255)	Prec@5 59.500 (66.971)
Epoch: [7][4340/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6442 (2.6329)	Prec@1 39.500 (36.258)	Prec@5 68.500 (66.975)
Epoch: [7][4350/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.8212 (2.6330)	Prec@1 32.500 (36.253)	Prec@5 69.000 (66.974)
Epoch: [7][4360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4903 (2.6330)	Prec@1 35.000 (36.254)	Prec@5 73.000 (66.974)
Epoch: [7][4370/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7095 (2.6331)	Prec@1 33.500 (36.252)	Prec@5 64.000 (66.972)
Epoch: [7][4380/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7988 (2.6331)	Prec@1 38.000 (36.251)	Prec@5 63.500 (66.969)
Epoch: [7][4390/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5743 (2.6332)	Prec@1 36.500 (36.249)	Prec@5 67.500 (66.966)
Epoch: [7][4400/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.6838 (2.6332)	Prec@1 36.000 (36.248)	Prec@5 65.500 (66.968)
Epoch: [7][4410/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5696 (2.6331)	Prec@1 37.000 (36.251)	Prec@5 66.500 (66.971)
Epoch: [7][4420/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6729 (2.6331)	Prec@1 31.500 (36.249)	Prec@5 68.000 (66.969)
Epoch: [7][4430/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4197 (2.6330)	Prec@1 34.000 (36.250)	Prec@5 71.000 (66.971)
Epoch: [7][4440/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7006 (2.6330)	Prec@1 33.000 (36.249)	Prec@5 67.000 (66.973)
Epoch: [7][4450/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6379 (2.6330)	Prec@1 36.000 (36.254)	Prec@5 62.000 (66.973)
Epoch: [7][4460/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4744 (2.6329)	Prec@1 35.500 (36.254)	Prec@5 70.500 (66.973)
Epoch: [7][4470/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8489 (2.6329)	Prec@1 33.000 (36.256)	Prec@5 66.500 (66.975)
Epoch: [7][4480/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5737 (2.6329)	Prec@1 37.000 (36.256)	Prec@5 71.000 (66.974)
Epoch: [7][4490/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4762 (2.6328)	Prec@1 42.000 (36.261)	Prec@5 68.000 (66.978)
Epoch: [7][4500/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5064 (2.6327)	Prec@1 37.500 (36.257)	Prec@5 68.500 (66.976)
Epoch: [7][4510/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6160 (2.6327)	Prec@1 34.000 (36.257)	Prec@5 68.500 (66.976)
Epoch: [7][4520/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6329 (2.6327)	Prec@1 38.000 (36.256)	Prec@5 68.500 (66.976)
Epoch: [7][4530/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4951 (2.6326)	Prec@1 37.500 (36.254)	Prec@5 69.500 (66.979)
Epoch: [7][4540/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8122 (2.6326)	Prec@1 34.000 (36.251)	Prec@5 58.500 (66.977)
Epoch: [7][4550/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6926 (2.6325)	Prec@1 36.500 (36.255)	Prec@5 67.500 (66.978)
Epoch: [7][4560/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7269 (2.6324)	Prec@1 36.000 (36.257)	Prec@5 65.000 (66.980)
Epoch: [7][4570/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5682 (2.6323)	Prec@1 39.000 (36.259)	Prec@5 68.500 (66.983)
Epoch: [7][4580/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.3750 (2.6321)	Prec@1 40.000 (36.261)	Prec@5 73.500 (66.990)
Epoch: [7][4590/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6914 (2.6321)	Prec@1 34.500 (36.262)	Prec@5 66.500 (66.989)
Epoch: [7][4600/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.7244 (2.6323)	Prec@1 38.000 (36.260)	Prec@5 63.000 (66.983)
Epoch: [7][4610/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4905 (2.6324)	Prec@1 39.500 (36.257)	Prec@5 70.000 (66.983)
Epoch: [7][4620/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5920 (2.6324)	Prec@1 37.500 (36.261)	Prec@5 69.500 (66.986)
Epoch: [7][4630/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8413 (2.6326)	Prec@1 35.500 (36.258)	Prec@5 62.000 (66.983)
Epoch: [7][4640/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5680 (2.6327)	Prec@1 35.500 (36.253)	Prec@5 68.000 (66.978)
Epoch: [7][4650/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.7897 (2.6327)	Prec@1 31.000 (36.255)	Prec@5 67.500 (66.978)
Epoch: [7][4660/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8541 (2.6329)	Prec@1 31.000 (36.248)	Prec@5 62.000 (66.973)
Epoch: [7][4670/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2967 (2.6328)	Prec@1 39.500 (36.251)	Prec@5 73.000 (66.977)
Epoch: [7][4680/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4161 (2.6325)	Prec@1 42.000 (36.254)	Prec@5 73.000 (66.981)
Epoch: [7][4690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4573 (2.6324)	Prec@1 39.500 (36.256)	Prec@5 70.500 (66.983)
Epoch: [7][4700/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6933 (2.6325)	Prec@1 35.000 (36.252)	Prec@5 65.000 (66.982)
Epoch: [7][4710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4648 (2.6325)	Prec@1 37.500 (36.252)	Prec@5 72.000 (66.982)
Epoch: [7][4720/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6488 (2.6325)	Prec@1 36.500 (36.249)	Prec@5 68.000 (66.981)
Epoch: [7][4730/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4777 (2.6326)	Prec@1 37.000 (36.248)	Prec@5 72.500 (66.982)
Epoch: [7][4740/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3774 (2.6324)	Prec@1 38.500 (36.251)	Prec@5 75.000 (66.985)
Epoch: [7][4750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6808 (2.6326)	Prec@1 34.000 (36.249)	Prec@5 67.000 (66.984)
Epoch: [7][4760/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5504 (2.6324)	Prec@1 39.500 (36.250)	Prec@5 68.000 (66.987)
Epoch: [7][4770/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7060 (2.6324)	Prec@1 34.500 (36.251)	Prec@5 65.000 (66.985)
Epoch: [7][4780/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4358 (2.6324)	Prec@1 40.000 (36.255)	Prec@5 73.000 (66.988)
Epoch: [7][4790/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.5311 (2.6323)	Prec@1 33.000 (36.253)	Prec@5 73.000 (66.990)
Epoch: [7][4800/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8044 (2.6324)	Prec@1 36.500 (36.253)	Prec@5 60.500 (66.989)
Epoch: [7][4810/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6273 (2.6324)	Prec@1 39.500 (36.253)	Prec@5 66.500 (66.989)
Epoch: [7][4820/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5563 (2.6324)	Prec@1 39.500 (36.253)	Prec@5 67.000 (66.991)
Epoch: [7][4830/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.9814 (2.6326)	Prec@1 30.500 (36.251)	Prec@5 61.000 (66.986)
Epoch: [7][4840/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6147 (2.6326)	Prec@1 38.500 (36.249)	Prec@5 66.000 (66.986)
Epoch: [7][4850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5969 (2.6327)	Prec@1 34.500 (36.247)	Prec@5 68.000 (66.982)
Epoch: [7][4860/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6954 (2.6327)	Prec@1 30.500 (36.247)	Prec@5 65.500 (66.983)
Epoch: [7][4870/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5894 (2.6326)	Prec@1 38.000 (36.249)	Prec@5 68.000 (66.983)
Epoch: [7][4880/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7025 (2.6327)	Prec@1 33.500 (36.249)	Prec@5 63.500 (66.982)
Epoch: [7][4890/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.5707 (2.6327)	Prec@1 38.500 (36.249)	Prec@5 67.500 (66.982)
Epoch: [7][4900/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8340 (2.6328)	Prec@1 34.500 (36.250)	Prec@5 64.500 (66.981)
Epoch: [7][4910/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5181 (2.6327)	Prec@1 41.500 (36.249)	Prec@5 72.000 (66.981)
Epoch: [7][4920/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6217 (2.6328)	Prec@1 38.000 (36.248)	Prec@5 64.000 (66.979)
Epoch: [7][4930/9018]	Time 0.709 (0.615)	Data 0.001 (0.001)	Loss 2.4248 (2.6326)	Prec@1 41.000 (36.251)	Prec@5 69.500 (66.984)
Epoch: [7][4940/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5579 (2.6326)	Prec@1 33.500 (36.250)	Prec@5 67.500 (66.982)
Epoch: [7][4950/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5509 (2.6326)	Prec@1 33.000 (36.251)	Prec@5 68.000 (66.984)
Epoch: [7][4960/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4055 (2.6325)	Prec@1 40.000 (36.254)	Prec@5 72.000 (66.984)
Epoch: [7][4970/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6625 (2.6326)	Prec@1 37.000 (36.253)	Prec@5 64.500 (66.983)
Epoch: [7][4980/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.4628 (2.6325)	Prec@1 36.500 (36.251)	Prec@5 71.000 (66.987)
Epoch: [7][4990/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5675 (2.6326)	Prec@1 38.500 (36.249)	Prec@5 69.500 (66.986)
Epoch: [7][5000/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5175 (2.6326)	Prec@1 38.000 (36.251)	Prec@5 70.000 (66.985)
Epoch: [7][5010/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6981 (2.6325)	Prec@1 34.500 (36.252)	Prec@5 63.500 (66.985)
Epoch: [7][5020/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7154 (2.6326)	Prec@1 38.500 (36.253)	Prec@5 63.500 (66.983)
Epoch: [7][5030/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5382 (2.6326)	Prec@1 37.500 (36.252)	Prec@5 67.000 (66.985)
Epoch: [7][5040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6338 (2.6326)	Prec@1 38.500 (36.251)	Prec@5 65.500 (66.985)
Epoch: [7][5050/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5852 (2.6326)	Prec@1 34.000 (36.250)	Prec@5 68.000 (66.985)
Epoch: [7][5060/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6460 (2.6326)	Prec@1 38.000 (36.250)	Prec@5 66.000 (66.985)
Epoch: [7][5070/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8193 (2.6326)	Prec@1 36.500 (36.249)	Prec@5 62.500 (66.985)
Epoch: [7][5080/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.8005 (2.6327)	Prec@1 34.500 (36.251)	Prec@5 68.000 (66.985)
Epoch: [7][5090/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5039 (2.6325)	Prec@1 36.500 (36.252)	Prec@5 68.500 (66.988)
Epoch: [7][5100/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5243 (2.6326)	Prec@1 37.500 (36.253)	Prec@5 71.500 (66.987)
Epoch: [7][5110/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7116 (2.6326)	Prec@1 35.500 (36.253)	Prec@5 64.000 (66.985)
Epoch: [7][5120/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6906 (2.6325)	Prec@1 37.500 (36.254)	Prec@5 69.000 (66.988)
Epoch: [7][5130/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4922 (2.6325)	Prec@1 37.500 (36.253)	Prec@5 72.000 (66.986)
Epoch: [7][5140/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7247 (2.6326)	Prec@1 32.000 (36.248)	Prec@5 66.500 (66.985)
Epoch: [7][5150/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6037 (2.6326)	Prec@1 40.500 (36.250)	Prec@5 71.000 (66.986)
Epoch: [7][5160/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6561 (2.6324)	Prec@1 39.000 (36.250)	Prec@5 65.000 (66.990)
Epoch: [7][5170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7154 (2.6325)	Prec@1 37.000 (36.252)	Prec@5 63.500 (66.989)
Epoch: [7][5180/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6851 (2.6326)	Prec@1 33.500 (36.251)	Prec@5 64.500 (66.989)
Epoch: [7][5190/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6658 (2.6325)	Prec@1 32.000 (36.254)	Prec@5 69.500 (66.992)
Epoch: [7][5200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6191 (2.6326)	Prec@1 34.500 (36.253)	Prec@5 67.000 (66.989)
Epoch: [7][5210/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 3.0206 (2.6326)	Prec@1 28.000 (36.252)	Prec@5 57.500 (66.988)
Epoch: [7][5220/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6004 (2.6327)	Prec@1 35.000 (36.251)	Prec@5 67.000 (66.986)
Epoch: [7][5230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7126 (2.6328)	Prec@1 36.000 (36.250)	Prec@5 67.500 (66.985)
Epoch: [7][5240/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5697 (2.6327)	Prec@1 33.500 (36.250)	Prec@5 70.500 (66.985)
Epoch: [7][5250/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6384 (2.6327)	Prec@1 38.000 (36.251)	Prec@5 63.500 (66.983)
Epoch: [7][5260/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.7980 (2.6328)	Prec@1 34.000 (36.249)	Prec@5 62.500 (66.983)
Epoch: [7][5270/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5420 (2.6328)	Prec@1 37.500 (36.251)	Prec@5 68.000 (66.983)
Epoch: [7][5280/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6768 (2.6329)	Prec@1 37.000 (36.251)	Prec@5 67.000 (66.983)
Epoch: [7][5290/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.8642 (2.6330)	Prec@1 30.000 (36.248)	Prec@5 64.000 (66.979)
Epoch: [7][5300/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7709 (2.6330)	Prec@1 31.000 (36.247)	Prec@5 63.500 (66.979)
Epoch: [7][5310/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.7986 (2.6332)	Prec@1 33.500 (36.243)	Prec@5 60.000 (66.976)
Epoch: [7][5320/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6030 (2.6332)	Prec@1 38.000 (36.244)	Prec@5 66.000 (66.974)
Epoch: [7][5330/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6180 (2.6331)	Prec@1 37.000 (36.246)	Prec@5 65.500 (66.978)
Epoch: [7][5340/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6876 (2.6331)	Prec@1 34.000 (36.244)	Prec@5 69.500 (66.978)
Epoch: [7][5350/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6019 (2.6332)	Prec@1 39.000 (36.242)	Prec@5 68.500 (66.976)
Epoch: [7][5360/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6736 (2.6331)	Prec@1 34.000 (36.240)	Prec@5 66.000 (66.976)
Epoch: [7][5370/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6278 (2.6330)	Prec@1 37.500 (36.243)	Prec@5 67.000 (66.978)
Epoch: [7][5380/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7186 (2.6330)	Prec@1 32.000 (36.245)	Prec@5 66.000 (66.975)
Epoch: [7][5390/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6396 (2.6329)	Prec@1 34.500 (36.246)	Prec@5 69.000 (66.976)
Epoch: [7][5400/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5251 (2.6328)	Prec@1 36.500 (36.249)	Prec@5 68.000 (66.979)
Epoch: [7][5410/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4874 (2.6328)	Prec@1 41.000 (36.249)	Prec@5 70.500 (66.978)
Epoch: [7][5420/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5137 (2.6328)	Prec@1 42.000 (36.249)	Prec@5 66.500 (66.977)
Epoch: [7][5430/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7093 (2.6330)	Prec@1 38.500 (36.247)	Prec@5 63.500 (66.972)
Epoch: [7][5440/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.7244 (2.6331)	Prec@1 34.000 (36.245)	Prec@5 66.000 (66.970)
Epoch: [7][5450/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6332 (2.6330)	Prec@1 32.000 (36.246)	Prec@5 66.500 (66.971)
Epoch: [7][5460/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5698 (2.6330)	Prec@1 35.500 (36.247)	Prec@5 67.500 (66.971)
Epoch: [7][5470/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7550 (2.6329)	Prec@1 34.500 (36.246)	Prec@5 69.000 (66.974)
Epoch: [7][5480/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6956 (2.6329)	Prec@1 31.000 (36.245)	Prec@5 67.500 (66.974)
Epoch: [7][5490/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.9189 (2.6330)	Prec@1 33.000 (36.241)	Prec@5 63.500 (66.973)
Epoch: [7][5500/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6188 (2.6331)	Prec@1 34.000 (36.241)	Prec@5 68.500 (66.971)
Epoch: [7][5510/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3508 (2.6331)	Prec@1 35.000 (36.241)	Prec@5 76.500 (66.975)
Epoch: [7][5520/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9630 (2.6332)	Prec@1 28.500 (36.241)	Prec@5 62.000 (66.973)
Epoch: [7][5530/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5932 (2.6332)	Prec@1 40.500 (36.242)	Prec@5 68.500 (66.972)
Epoch: [7][5540/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6214 (2.6331)	Prec@1 35.000 (36.244)	Prec@5 68.500 (66.973)
Epoch: [7][5550/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5192 (2.6332)	Prec@1 39.500 (36.243)	Prec@5 70.500 (66.973)
Epoch: [7][5560/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6533 (2.6332)	Prec@1 33.500 (36.244)	Prec@5 67.500 (66.974)
Epoch: [7][5570/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7874 (2.6332)	Prec@1 35.500 (36.244)	Prec@5 64.500 (66.971)
Epoch: [7][5580/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6274 (2.6332)	Prec@1 35.500 (36.244)	Prec@5 66.500 (66.972)
Epoch: [7][5590/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.4501 (2.6331)	Prec@1 39.000 (36.246)	Prec@5 70.500 (66.975)
Epoch: [7][5600/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6694 (2.6331)	Prec@1 36.000 (36.248)	Prec@5 65.500 (66.974)
Epoch: [7][5610/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5276 (2.6330)	Prec@1 40.000 (36.251)	Prec@5 70.000 (66.974)
Epoch: [7][5620/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.9476 (2.6331)	Prec@1 31.500 (36.249)	Prec@5 58.500 (66.970)
Epoch: [7][5630/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3970 (2.6330)	Prec@1 37.000 (36.252)	Prec@5 72.000 (66.970)
Epoch: [7][5640/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.7359 (2.6331)	Prec@1 33.500 (36.249)	Prec@5 67.000 (66.969)
Epoch: [7][5650/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4015 (2.6331)	Prec@1 38.000 (36.249)	Prec@5 72.000 (66.967)
Epoch: [7][5660/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5475 (2.6331)	Prec@1 40.000 (36.252)	Prec@5 69.500 (66.968)
Epoch: [7][5670/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4558 (2.6330)	Prec@1 40.000 (36.255)	Prec@5 70.500 (66.970)
Epoch: [7][5680/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7223 (2.6330)	Prec@1 35.000 (36.253)	Prec@5 61.000 (66.970)
Epoch: [7][5690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4389 (2.6329)	Prec@1 39.000 (36.252)	Prec@5 70.000 (66.969)
Epoch: [7][5700/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5489 (2.6329)	Prec@1 35.000 (36.254)	Prec@5 67.500 (66.971)
Epoch: [7][5710/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8082 (2.6332)	Prec@1 36.000 (36.249)	Prec@5 62.000 (66.966)
Epoch: [7][5720/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7750 (2.6331)	Prec@1 36.000 (36.250)	Prec@5 64.000 (66.966)
Epoch: [7][5730/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5849 (2.6331)	Prec@1 36.500 (36.251)	Prec@5 70.000 (66.966)
Epoch: [7][5740/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.6207 (2.6331)	Prec@1 36.000 (36.253)	Prec@5 66.000 (66.965)
Epoch: [7][5750/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4590 (2.6330)	Prec@1 37.000 (36.255)	Prec@5 68.000 (66.966)
Epoch: [7][5760/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6108 (2.6330)	Prec@1 39.000 (36.256)	Prec@5 69.500 (66.968)
Epoch: [7][5770/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.3236 (2.6330)	Prec@1 47.000 (36.258)	Prec@5 72.000 (66.970)
Epoch: [7][5780/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5718 (2.6329)	Prec@1 37.000 (36.261)	Prec@5 68.500 (66.972)
Epoch: [7][5790/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6945 (2.6330)	Prec@1 36.000 (36.261)	Prec@5 64.500 (66.969)
Epoch: [7][5800/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6572 (2.6329)	Prec@1 33.500 (36.258)	Prec@5 66.500 (66.971)
Epoch: [7][5810/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5485 (2.6330)	Prec@1 37.000 (36.257)	Prec@5 68.000 (66.970)
Epoch: [7][5820/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5199 (2.6330)	Prec@1 38.000 (36.255)	Prec@5 68.500 (66.970)
Epoch: [7][5830/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7033 (2.6331)	Prec@1 37.000 (36.255)	Prec@5 68.500 (66.966)
Epoch: [7][5840/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5898 (2.6331)	Prec@1 39.500 (36.255)	Prec@5 67.000 (66.966)
Epoch: [7][5850/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3921 (2.6331)	Prec@1 41.500 (36.254)	Prec@5 69.000 (66.966)
Epoch: [7][5860/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6818 (2.6332)	Prec@1 35.000 (36.252)	Prec@5 64.000 (66.964)
Epoch: [7][5870/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4092 (2.6331)	Prec@1 39.500 (36.254)	Prec@5 72.500 (66.964)
Epoch: [7][5880/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8674 (2.6332)	Prec@1 27.500 (36.251)	Prec@5 63.000 (66.962)
Epoch: [7][5890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6095 (2.6332)	Prec@1 37.000 (36.253)	Prec@5 69.000 (66.961)
Epoch: [7][5900/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6831 (2.6333)	Prec@1 34.500 (36.251)	Prec@5 66.500 (66.958)
Epoch: [7][5910/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8952 (2.6333)	Prec@1 29.500 (36.250)	Prec@5 63.500 (66.958)
Epoch: [7][5920/9018]	Time 0.707 (0.615)	Data 0.001 (0.001)	Loss 2.5489 (2.6333)	Prec@1 40.500 (36.252)	Prec@5 71.500 (66.959)
Epoch: [7][5930/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6358 (2.6333)	Prec@1 35.500 (36.251)	Prec@5 64.500 (66.956)
Epoch: [7][5940/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6409 (2.6333)	Prec@1 32.500 (36.252)	Prec@5 72.000 (66.959)
Epoch: [7][5950/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5798 (2.6333)	Prec@1 37.500 (36.250)	Prec@5 70.500 (66.959)
Epoch: [7][5960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6450 (2.6335)	Prec@1 35.500 (36.246)	Prec@5 66.000 (66.957)
Epoch: [7][5970/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.7166 (2.6336)	Prec@1 35.000 (36.244)	Prec@5 64.000 (66.957)
Epoch: [7][5980/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.5671 (2.6336)	Prec@1 33.000 (36.239)	Prec@5 67.000 (66.955)
Epoch: [7][5990/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5474 (2.6337)	Prec@1 39.500 (36.239)	Prec@5 68.500 (66.954)
Epoch: [7][6000/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5639 (2.6337)	Prec@1 38.000 (36.241)	Prec@5 66.000 (66.956)
Epoch: [7][6010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4730 (2.6337)	Prec@1 37.000 (36.237)	Prec@5 72.500 (66.957)
Epoch: [7][6020/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.7034 (2.6337)	Prec@1 34.000 (36.236)	Prec@5 65.500 (66.957)
Epoch: [7][6030/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4295 (2.6337)	Prec@1 39.500 (36.236)	Prec@5 70.500 (66.958)
Epoch: [7][6040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6387 (2.6337)	Prec@1 34.500 (36.236)	Prec@5 68.000 (66.959)
Epoch: [7][6050/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3752 (2.6336)	Prec@1 43.000 (36.239)	Prec@5 72.000 (66.957)
Epoch: [7][6060/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5557 (2.6337)	Prec@1 38.500 (36.237)	Prec@5 68.000 (66.957)
Epoch: [7][6070/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7214 (2.6336)	Prec@1 36.500 (36.239)	Prec@5 68.000 (66.959)
Epoch: [7][6080/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7013 (2.6336)	Prec@1 35.000 (36.239)	Prec@5 67.000 (66.958)
Epoch: [7][6090/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6308 (2.6337)	Prec@1 33.500 (36.236)	Prec@5 64.500 (66.955)
Epoch: [7][6100/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4521 (2.6336)	Prec@1 40.500 (36.236)	Prec@5 70.500 (66.955)
Epoch: [7][6110/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5386 (2.6335)	Prec@1 34.500 (36.239)	Prec@5 69.500 (66.957)
Epoch: [7][6120/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9289 (2.6335)	Prec@1 34.000 (36.237)	Prec@5 63.500 (66.957)
Epoch: [7][6130/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7868 (2.6336)	Prec@1 36.000 (36.234)	Prec@5 64.500 (66.954)
Epoch: [7][6140/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.8041 (2.6336)	Prec@1 36.000 (36.234)	Prec@5 65.500 (66.953)
Epoch: [7][6150/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7727 (2.6337)	Prec@1 34.000 (36.231)	Prec@5 64.500 (66.952)
Epoch: [7][6160/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5291 (2.6338)	Prec@1 41.000 (36.232)	Prec@5 69.500 (66.949)
Epoch: [7][6170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7722 (2.6338)	Prec@1 33.500 (36.232)	Prec@5 67.000 (66.951)
Epoch: [7][6180/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7268 (2.6339)	Prec@1 32.000 (36.232)	Prec@5 69.500 (66.950)
Epoch: [7][6190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4685 (2.6338)	Prec@1 39.500 (36.232)	Prec@5 71.500 (66.953)
Epoch: [7][6200/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7155 (2.6338)	Prec@1 36.000 (36.231)	Prec@5 65.500 (66.951)
Epoch: [7][6210/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5020 (2.6337)	Prec@1 36.000 (36.232)	Prec@5 69.500 (66.952)
Epoch: [7][6220/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6155 (2.6338)	Prec@1 34.500 (36.232)	Prec@5 67.000 (66.952)
Epoch: [7][6230/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6916 (2.6337)	Prec@1 35.000 (36.234)	Prec@5 64.000 (66.952)
Epoch: [7][6240/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5996 (2.6337)	Prec@1 32.500 (36.231)	Prec@5 71.500 (66.952)
Epoch: [7][6250/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.6411 (2.6337)	Prec@1 36.500 (36.227)	Prec@5 69.000 (66.954)
Epoch: [7][6260/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.6708 (2.6337)	Prec@1 38.000 (36.227)	Prec@5 65.000 (66.954)
Epoch: [7][6270/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6909 (2.6338)	Prec@1 34.500 (36.224)	Prec@5 67.000 (66.952)
Epoch: [7][6280/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8352 (2.6339)	Prec@1 28.000 (36.221)	Prec@5 62.000 (66.950)
Epoch: [7][6290/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7377 (2.6339)	Prec@1 34.000 (36.224)	Prec@5 64.000 (66.951)
Epoch: [7][6300/9018]	Time 0.708 (0.615)	Data 0.001 (0.001)	Loss 2.5033 (2.6338)	Prec@1 38.000 (36.225)	Prec@5 68.000 (66.952)
Epoch: [7][6310/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5339 (2.6339)	Prec@1 36.000 (36.223)	Prec@5 68.500 (66.949)
Epoch: [7][6320/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6048 (2.6339)	Prec@1 36.000 (36.224)	Prec@5 68.500 (66.949)
Epoch: [7][6330/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.8858 (2.6339)	Prec@1 33.000 (36.224)	Prec@5 61.500 (66.947)
Epoch: [7][6340/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6636 (2.6339)	Prec@1 34.000 (36.224)	Prec@5 65.500 (66.948)
Epoch: [7][6350/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4390 (2.6338)	Prec@1 42.000 (36.228)	Prec@5 71.000 (66.949)
Epoch: [7][6360/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6518 (2.6338)	Prec@1 32.500 (36.228)	Prec@5 66.000 (66.948)
Epoch: [7][6370/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.8458 (2.6339)	Prec@1 32.000 (36.226)	Prec@5 65.000 (66.948)
Epoch: [7][6380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.9170 (2.6340)	Prec@1 32.500 (36.224)	Prec@5 61.000 (66.944)
Epoch: [7][6390/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7874 (2.6339)	Prec@1 39.500 (36.225)	Prec@5 66.000 (66.947)
Epoch: [7][6400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8845 (2.6340)	Prec@1 30.000 (36.224)	Prec@5 61.500 (66.945)
Epoch: [7][6410/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3963 (2.6339)	Prec@1 42.500 (36.225)	Prec@5 71.000 (66.946)
Epoch: [7][6420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5010 (2.6338)	Prec@1 40.500 (36.228)	Prec@5 70.000 (66.948)
Epoch: [7][6430/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7478 (2.6338)	Prec@1 34.500 (36.228)	Prec@5 65.000 (66.949)
Epoch: [7][6440/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6282 (2.6338)	Prec@1 35.500 (36.231)	Prec@5 67.000 (66.951)
Epoch: [7][6450/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7291 (2.6338)	Prec@1 33.500 (36.229)	Prec@5 65.000 (66.949)
Epoch: [7][6460/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5274 (2.6338)	Prec@1 37.000 (36.229)	Prec@5 71.500 (66.950)
Epoch: [7][6470/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4886 (2.6338)	Prec@1 39.500 (36.231)	Prec@5 71.500 (66.949)
Epoch: [7][6480/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6628 (2.6338)	Prec@1 39.000 (36.231)	Prec@5 66.000 (66.946)
Epoch: [7][6490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5543 (2.6338)	Prec@1 34.500 (36.230)	Prec@5 70.000 (66.948)
Epoch: [7][6500/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5102 (2.6339)	Prec@1 36.000 (36.227)	Prec@5 67.500 (66.946)
Epoch: [7][6510/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6163 (2.6338)	Prec@1 39.000 (36.229)	Prec@5 68.500 (66.946)
Epoch: [7][6520/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7492 (2.6338)	Prec@1 36.000 (36.229)	Prec@5 67.500 (66.947)
Epoch: [7][6530/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5185 (2.6339)	Prec@1 38.000 (36.227)	Prec@5 70.000 (66.945)
Epoch: [7][6540/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7555 (2.6338)	Prec@1 34.500 (36.229)	Prec@5 63.500 (66.946)
Epoch: [7][6550/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6793 (2.6338)	Prec@1 38.000 (36.228)	Prec@5 65.000 (66.947)
Epoch: [7][6560/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7598 (2.6338)	Prec@1 31.000 (36.229)	Prec@5 65.500 (66.948)
Epoch: [7][6570/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5871 (2.6339)	Prec@1 39.000 (36.228)	Prec@5 68.500 (66.945)
Epoch: [7][6580/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.5538 (2.6337)	Prec@1 39.000 (36.231)	Prec@5 67.500 (66.948)
Epoch: [7][6590/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4954 (2.6337)	Prec@1 39.500 (36.233)	Prec@5 70.500 (66.949)
Epoch: [7][6600/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6503 (2.6337)	Prec@1 34.500 (36.231)	Prec@5 67.000 (66.949)
Epoch: [7][6610/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8568 (2.6338)	Prec@1 32.000 (36.229)	Prec@5 62.000 (66.948)
Epoch: [7][6620/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8894 (2.6337)	Prec@1 32.500 (36.229)	Prec@5 61.000 (66.949)
Epoch: [7][6630/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.6336 (2.6336)	Prec@1 35.000 (36.229)	Prec@5 67.000 (66.951)
Epoch: [7][6640/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6323 (2.6337)	Prec@1 28.500 (36.227)	Prec@5 64.500 (66.949)
Epoch: [7][6650/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6240 (2.6338)	Prec@1 37.000 (36.226)	Prec@5 68.000 (66.949)
Epoch: [7][6660/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7036 (2.6338)	Prec@1 35.500 (36.225)	Prec@5 64.000 (66.949)
Epoch: [7][6670/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5354 (2.6338)	Prec@1 37.500 (36.227)	Prec@5 67.500 (66.949)
Epoch: [7][6680/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4606 (2.6337)	Prec@1 38.500 (36.228)	Prec@5 68.500 (66.951)
Epoch: [7][6690/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.3535 (2.6337)	Prec@1 38.500 (36.227)	Prec@5 74.500 (66.952)
Epoch: [7][6700/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4686 (2.6337)	Prec@1 37.000 (36.225)	Prec@5 72.000 (66.952)
Epoch: [7][6710/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7830 (2.6337)	Prec@1 34.000 (36.224)	Prec@5 65.500 (66.950)
Epoch: [7][6720/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6444 (2.6337)	Prec@1 32.500 (36.223)	Prec@5 66.000 (66.950)
Epoch: [7][6730/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8033 (2.6337)	Prec@1 28.000 (36.224)	Prec@5 62.500 (66.949)
Epoch: [7][6740/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6996 (2.6337)	Prec@1 34.500 (36.225)	Prec@5 61.500 (66.950)
Epoch: [7][6750/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6207 (2.6337)	Prec@1 38.500 (36.225)	Prec@5 67.000 (66.949)
Epoch: [7][6760/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5781 (2.6338)	Prec@1 36.500 (36.223)	Prec@5 68.000 (66.946)
Epoch: [7][6770/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2337 (2.6338)	Prec@1 44.000 (36.222)	Prec@5 77.500 (66.945)
Epoch: [7][6780/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6126 (2.6338)	Prec@1 36.500 (36.222)	Prec@5 63.000 (66.944)
Epoch: [7][6790/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6551 (2.6337)	Prec@1 37.500 (36.222)	Prec@5 70.000 (66.946)
Epoch: [7][6800/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5705 (2.6338)	Prec@1 38.500 (36.221)	Prec@5 65.000 (66.945)
Epoch: [7][6810/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7597 (2.6339)	Prec@1 35.500 (36.219)	Prec@5 64.000 (66.943)
Epoch: [7][6820/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.9478 (2.6338)	Prec@1 32.000 (36.222)	Prec@5 62.000 (66.942)
Epoch: [7][6830/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7259 (2.6339)	Prec@1 30.000 (36.221)	Prec@5 68.500 (66.942)
Epoch: [7][6840/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5725 (2.6339)	Prec@1 37.000 (36.221)	Prec@5 69.000 (66.941)
Epoch: [7][6850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6686 (2.6339)	Prec@1 33.500 (36.221)	Prec@5 64.000 (66.940)
Epoch: [7][6860/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7640 (2.6339)	Prec@1 32.000 (36.222)	Prec@5 66.500 (66.940)
Epoch: [7][6870/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6403 (2.6338)	Prec@1 32.000 (36.223)	Prec@5 70.000 (66.940)
Epoch: [7][6880/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5028 (2.6339)	Prec@1 36.500 (36.223)	Prec@5 70.000 (66.940)
Epoch: [7][6890/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.8354 (2.6339)	Prec@1 30.000 (36.223)	Prec@5 67.500 (66.939)
Epoch: [7][6900/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5349 (2.6339)	Prec@1 39.000 (36.224)	Prec@5 66.000 (66.940)
Epoch: [7][6910/9018]	Time 0.704 (0.615)	Data 0.001 (0.001)	Loss 2.7753 (2.6340)	Prec@1 36.500 (36.224)	Prec@5 62.500 (66.939)
Epoch: [7][6920/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6682 (2.6339)	Prec@1 35.500 (36.226)	Prec@5 67.000 (66.940)
Epoch: [7][6930/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6347 (2.6339)	Prec@1 37.500 (36.226)	Prec@5 71.500 (66.938)
Epoch: [7][6940/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.7415 (2.6339)	Prec@1 33.500 (36.227)	Prec@5 64.000 (66.938)
Epoch: [7][6950/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4748 (2.6339)	Prec@1 35.000 (36.227)	Prec@5 74.000 (66.940)
Epoch: [7][6960/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.7760 (2.6339)	Prec@1 32.500 (36.226)	Prec@5 68.000 (66.940)
Epoch: [7][6970/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 3.0107 (2.6339)	Prec@1 32.000 (36.226)	Prec@5 61.000 (66.939)
Epoch: [7][6980/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6248 (2.6339)	Prec@1 36.000 (36.225)	Prec@5 66.500 (66.938)
Epoch: [7][6990/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7192 (2.6339)	Prec@1 31.500 (36.224)	Prec@5 64.500 (66.938)
Epoch: [7][7000/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5057 (2.6339)	Prec@1 38.500 (36.225)	Prec@5 70.000 (66.937)
Epoch: [7][7010/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8352 (2.6339)	Prec@1 35.000 (36.223)	Prec@5 65.000 (66.937)
Epoch: [7][7020/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5837 (2.6339)	Prec@1 37.500 (36.222)	Prec@5 68.000 (66.937)
Epoch: [7][7030/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7651 (2.6341)	Prec@1 35.500 (36.219)	Prec@5 65.500 (66.933)
Epoch: [7][7040/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.8274 (2.6342)	Prec@1 33.000 (36.219)	Prec@5 64.000 (66.930)
Epoch: [7][7050/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5059 (2.6342)	Prec@1 41.500 (36.219)	Prec@5 74.000 (66.929)
Epoch: [7][7060/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7709 (2.6342)	Prec@1 35.000 (36.218)	Prec@5 62.500 (66.928)
Epoch: [7][7070/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5460 (2.6341)	Prec@1 41.000 (36.220)	Prec@5 69.000 (66.932)
Epoch: [7][7080/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5582 (2.6341)	Prec@1 35.000 (36.221)	Prec@5 70.000 (66.932)
Epoch: [7][7090/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.7723 (2.6341)	Prec@1 32.000 (36.222)	Prec@5 63.000 (66.934)
Epoch: [7][7100/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7752 (2.6341)	Prec@1 35.000 (36.222)	Prec@5 65.500 (66.932)
Epoch: [7][7110/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6050 (2.6340)	Prec@1 37.500 (36.225)	Prec@5 63.000 (66.934)
Epoch: [7][7120/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5211 (2.6341)	Prec@1 39.500 (36.225)	Prec@5 70.000 (66.934)
Epoch: [7][7130/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6397 (2.6341)	Prec@1 38.500 (36.225)	Prec@5 65.500 (66.933)
Epoch: [7][7140/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7277 (2.6341)	Prec@1 35.000 (36.225)	Prec@5 66.000 (66.930)
Epoch: [7][7150/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7248 (2.6341)	Prec@1 35.500 (36.226)	Prec@5 64.500 (66.931)
Epoch: [7][7160/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6371 (2.6340)	Prec@1 37.000 (36.228)	Prec@5 67.000 (66.933)
Epoch: [7][7170/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6578 (2.6341)	Prec@1 33.500 (36.226)	Prec@5 66.500 (66.933)
Epoch: [7][7180/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7230 (2.6340)	Prec@1 36.000 (36.227)	Prec@5 63.500 (66.933)
Epoch: [7][7190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3859 (2.6340)	Prec@1 40.000 (36.229)	Prec@5 68.000 (66.934)
Epoch: [7][7200/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5162 (2.6340)	Prec@1 36.000 (36.228)	Prec@5 68.000 (66.935)
Epoch: [7][7210/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5307 (2.6339)	Prec@1 40.000 (36.230)	Prec@5 69.000 (66.936)
Epoch: [7][7220/9018]	Time 0.645 (0.615)	Data 0.001 (0.001)	Loss 2.7914 (2.6340)	Prec@1 30.000 (36.225)	Prec@5 64.500 (66.935)
Epoch: [7][7230/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2705 (2.6339)	Prec@1 45.000 (36.227)	Prec@5 74.500 (66.936)
Epoch: [7][7240/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.8195 (2.6340)	Prec@1 29.500 (36.224)	Prec@5 67.500 (66.935)
Epoch: [7][7250/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4378 (2.6340)	Prec@1 38.500 (36.225)	Prec@5 71.000 (66.934)
Epoch: [7][7260/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7783 (2.6341)	Prec@1 30.500 (36.223)	Prec@5 62.500 (66.933)
Epoch: [7][7270/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7777 (2.6341)	Prec@1 31.000 (36.223)	Prec@5 61.500 (66.933)
Epoch: [7][7280/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5783 (2.6341)	Prec@1 35.000 (36.222)	Prec@5 69.500 (66.932)
Epoch: [7][7290/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.5702 (2.6341)	Prec@1 36.000 (36.222)	Prec@5 70.000 (66.930)
Epoch: [7][7300/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8345 (2.6341)	Prec@1 33.500 (36.224)	Prec@5 63.500 (66.931)
Epoch: [7][7310/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6513 (2.6341)	Prec@1 39.000 (36.225)	Prec@5 68.500 (66.932)
Epoch: [7][7320/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5912 (2.6339)	Prec@1 37.000 (36.227)	Prec@5 68.000 (66.934)
Epoch: [7][7330/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.8181 (2.6341)	Prec@1 34.000 (36.224)	Prec@5 65.500 (66.931)
Epoch: [7][7340/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6946 (2.6340)	Prec@1 37.000 (36.225)	Prec@5 67.500 (66.932)
Epoch: [7][7350/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5237 (2.6341)	Prec@1 44.500 (36.226)	Prec@5 69.500 (66.931)
Epoch: [7][7360/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3940 (2.6340)	Prec@1 43.000 (36.229)	Prec@5 74.000 (66.933)
Epoch: [7][7370/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5296 (2.6341)	Prec@1 37.500 (36.228)	Prec@5 66.500 (66.931)
Epoch: [7][7380/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6559 (2.6341)	Prec@1 39.000 (36.228)	Prec@5 68.500 (66.932)
Epoch: [7][7390/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7683 (2.6341)	Prec@1 35.000 (36.228)	Prec@5 65.000 (66.933)
Epoch: [7][7400/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.5807 (2.6341)	Prec@1 36.000 (36.226)	Prec@5 67.500 (66.933)
Epoch: [7][7410/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6247 (2.6341)	Prec@1 40.500 (36.226)	Prec@5 66.000 (66.935)
Epoch: [7][7420/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.8806 (2.6340)	Prec@1 34.500 (36.232)	Prec@5 61.000 (66.937)
Epoch: [7][7430/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8616 (2.6339)	Prec@1 34.000 (36.232)	Prec@5 64.000 (66.939)
Epoch: [7][7440/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6421 (2.6340)	Prec@1 37.000 (36.231)	Prec@5 67.500 (66.938)
Epoch: [7][7450/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4770 (2.6340)	Prec@1 39.500 (36.231)	Prec@5 70.000 (66.937)
Epoch: [7][7460/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6419 (2.6339)	Prec@1 38.500 (36.234)	Prec@5 69.000 (66.937)
Epoch: [7][7470/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5448 (2.6339)	Prec@1 37.000 (36.236)	Prec@5 69.000 (66.939)
Epoch: [7][7480/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4654 (2.6338)	Prec@1 37.000 (36.236)	Prec@5 66.500 (66.940)
Epoch: [7][7490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6097 (2.6339)	Prec@1 36.500 (36.235)	Prec@5 65.500 (66.938)
Epoch: [7][7500/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4763 (2.6339)	Prec@1 42.500 (36.235)	Prec@5 70.000 (66.938)
Epoch: [7][7510/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6666 (2.6339)	Prec@1 39.500 (36.236)	Prec@5 68.000 (66.938)
Epoch: [7][7520/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5858 (2.6338)	Prec@1 41.000 (36.236)	Prec@5 65.500 (66.939)
Epoch: [7][7530/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3500 (2.6338)	Prec@1 42.500 (36.237)	Prec@5 74.000 (66.938)
Epoch: [7][7540/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6808 (2.6338)	Prec@1 33.000 (36.236)	Prec@5 69.000 (66.939)
Epoch: [7][7550/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5665 (2.6337)	Prec@1 33.500 (36.235)	Prec@5 66.500 (66.941)
Epoch: [7][7560/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7878 (2.6338)	Prec@1 37.500 (36.234)	Prec@5 62.000 (66.941)
Epoch: [7][7570/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.6425 (2.6338)	Prec@1 36.000 (36.236)	Prec@5 66.000 (66.942)
Epoch: [7][7580/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7306 (2.6338)	Prec@1 33.000 (36.234)	Prec@5 64.500 (66.942)
Epoch: [7][7590/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7943 (2.6339)	Prec@1 36.500 (36.232)	Prec@5 64.500 (66.938)
Epoch: [7][7600/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6067 (2.6339)	Prec@1 39.000 (36.234)	Prec@5 64.000 (66.937)
Epoch: [7][7610/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8903 (2.6339)	Prec@1 31.500 (36.234)	Prec@5 60.000 (66.937)
Epoch: [7][7620/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.6042 (2.6338)	Prec@1 37.500 (36.235)	Prec@5 67.500 (66.939)
Epoch: [7][7630/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6146 (2.6337)	Prec@1 36.500 (36.236)	Prec@5 67.000 (66.940)
Epoch: [7][7640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6209 (2.6337)	Prec@1 33.000 (36.235)	Prec@5 68.500 (66.940)
Epoch: [7][7650/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.9905 (2.6338)	Prec@1 36.500 (36.235)	Prec@5 60.500 (66.939)
Epoch: [7][7660/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5041 (2.6338)	Prec@1 42.000 (36.233)	Prec@5 69.000 (66.940)
Epoch: [7][7670/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7091 (2.6338)	Prec@1 38.000 (36.233)	Prec@5 59.000 (66.940)
Epoch: [7][7680/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7587 (2.6338)	Prec@1 34.500 (36.233)	Prec@5 59.000 (66.939)
Epoch: [7][7690/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3951 (2.6338)	Prec@1 41.500 (36.234)	Prec@5 72.000 (66.939)
Epoch: [7][7700/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7800 (2.6338)	Prec@1 33.500 (36.236)	Prec@5 60.500 (66.938)
Epoch: [7][7710/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8698 (2.6339)	Prec@1 30.000 (36.233)	Prec@5 61.500 (66.936)
Epoch: [7][7720/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5734 (2.6338)	Prec@1 36.500 (36.233)	Prec@5 67.000 (66.937)
Epoch: [7][7730/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5879 (2.6338)	Prec@1 37.000 (36.234)	Prec@5 71.000 (66.939)
Epoch: [7][7740/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5807 (2.6338)	Prec@1 35.500 (36.234)	Prec@5 72.000 (66.942)
Epoch: [7][7750/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.3750 (2.6337)	Prec@1 41.000 (36.237)	Prec@5 72.000 (66.943)
Epoch: [7][7760/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7818 (2.6338)	Prec@1 33.000 (36.235)	Prec@5 60.500 (66.942)
Epoch: [7][7770/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6334 (2.6338)	Prec@1 36.000 (36.235)	Prec@5 67.000 (66.942)
Epoch: [7][7780/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7942 (2.6339)	Prec@1 36.000 (36.233)	Prec@5 63.500 (66.941)
Epoch: [7][7790/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7450 (2.6339)	Prec@1 38.500 (36.234)	Prec@5 65.000 (66.940)
Epoch: [7][7800/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7120 (2.6340)	Prec@1 29.000 (36.232)	Prec@5 64.500 (66.940)
Epoch: [7][7810/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5926 (2.6340)	Prec@1 37.000 (36.231)	Prec@5 69.000 (66.939)
Epoch: [7][7820/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5618 (2.6341)	Prec@1 37.500 (36.229)	Prec@5 71.000 (66.935)
Epoch: [7][7830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6053 (2.6342)	Prec@1 34.000 (36.227)	Prec@5 70.500 (66.935)
Epoch: [7][7840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4098 (2.6341)	Prec@1 43.000 (36.229)	Prec@5 69.000 (66.936)
Epoch: [7][7850/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3849 (2.6341)	Prec@1 40.500 (36.228)	Prec@5 73.500 (66.936)
Epoch: [7][7860/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6558 (2.6341)	Prec@1 31.500 (36.228)	Prec@5 66.500 (66.935)
Epoch: [7][7870/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6139 (2.6340)	Prec@1 36.500 (36.231)	Prec@5 70.000 (66.938)
Epoch: [7][7880/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6839 (2.6340)	Prec@1 32.500 (36.229)	Prec@5 65.500 (66.936)
Epoch: [7][7890/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.3454 (2.6340)	Prec@1 41.000 (36.230)	Prec@5 70.500 (66.936)
Epoch: [7][7900/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.6459 (2.6340)	Prec@1 39.500 (36.230)	Prec@5 67.000 (66.937)
Epoch: [7][7910/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.6001 (2.6341)	Prec@1 38.000 (36.227)	Prec@5 67.000 (66.936)
Epoch: [7][7920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5550 (2.6341)	Prec@1 38.500 (36.226)	Prec@5 65.000 (66.936)
Epoch: [7][7930/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6730 (2.6341)	Prec@1 37.500 (36.224)	Prec@5 68.500 (66.936)
Epoch: [7][7940/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6471 (2.6342)	Prec@1 36.000 (36.223)	Prec@5 68.500 (66.934)
Epoch: [7][7950/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.8905 (2.6342)	Prec@1 31.000 (36.224)	Prec@5 61.500 (66.934)
Epoch: [7][7960/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5157 (2.6341)	Prec@1 37.000 (36.223)	Prec@5 66.000 (66.934)
Epoch: [7][7970/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6932 (2.6342)	Prec@1 37.000 (36.223)	Prec@5 68.000 (66.933)
Epoch: [7][7980/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5760 (2.6342)	Prec@1 36.500 (36.223)	Prec@5 67.000 (66.935)
Epoch: [7][7990/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5046 (2.6341)	Prec@1 37.000 (36.224)	Prec@5 69.500 (66.937)
Epoch: [7][8000/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6927 (2.6340)	Prec@1 35.500 (36.226)	Prec@5 66.000 (66.938)
Epoch: [7][8010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7196 (2.6341)	Prec@1 32.000 (36.227)	Prec@5 64.500 (66.936)
Epoch: [7][8020/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7326 (2.6341)	Prec@1 35.500 (36.226)	Prec@5 61.500 (66.935)
Epoch: [7][8030/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7281 (2.6342)	Prec@1 35.500 (36.226)	Prec@5 69.000 (66.935)
Epoch: [7][8040/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7693 (2.6342)	Prec@1 33.500 (36.224)	Prec@5 66.500 (66.935)
Epoch: [7][8050/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6596 (2.6342)	Prec@1 42.000 (36.223)	Prec@5 64.500 (66.935)
Epoch: [7][8060/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8259 (2.6341)	Prec@1 31.500 (36.224)	Prec@5 63.000 (66.938)
Epoch: [7][8070/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7768 (2.6342)	Prec@1 30.500 (36.222)	Prec@5 65.500 (66.935)
Epoch: [7][8080/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4929 (2.6341)	Prec@1 39.000 (36.222)	Prec@5 69.000 (66.935)
Epoch: [7][8090/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5008 (2.6342)	Prec@1 38.000 (36.223)	Prec@5 69.500 (66.933)
Epoch: [7][8100/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5808 (2.6342)	Prec@1 40.000 (36.223)	Prec@5 66.000 (66.933)
Epoch: [7][8110/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7403 (2.6342)	Prec@1 32.000 (36.224)	Prec@5 64.000 (66.932)
Epoch: [7][8120/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5001 (2.6342)	Prec@1 39.000 (36.225)	Prec@5 69.000 (66.933)
Epoch: [7][8130/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5177 (2.6342)	Prec@1 44.000 (36.226)	Prec@5 71.000 (66.934)
Epoch: [7][8140/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6473 (2.6341)	Prec@1 38.000 (36.226)	Prec@5 65.500 (66.933)
Epoch: [7][8150/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5804 (2.6341)	Prec@1 36.000 (36.226)	Prec@5 65.000 (66.935)
Epoch: [7][8160/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6383 (2.6341)	Prec@1 34.500 (36.226)	Prec@5 65.500 (66.935)
Epoch: [7][8170/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7547 (2.6341)	Prec@1 33.000 (36.226)	Prec@5 67.000 (66.935)
Epoch: [7][8180/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4672 (2.6341)	Prec@1 39.000 (36.226)	Prec@5 69.000 (66.935)
Epoch: [7][8190/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5683 (2.6341)	Prec@1 38.500 (36.228)	Prec@5 70.500 (66.935)
Epoch: [7][8200/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7896 (2.6341)	Prec@1 31.500 (36.228)	Prec@5 66.500 (66.937)
Epoch: [7][8210/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.7070 (2.6341)	Prec@1 34.000 (36.228)	Prec@5 63.500 (66.936)
Epoch: [7][8220/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7163 (2.6341)	Prec@1 36.000 (36.228)	Prec@5 64.500 (66.935)
Epoch: [7][8230/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.7252 (2.6341)	Prec@1 35.000 (36.226)	Prec@5 62.500 (66.935)
Epoch: [7][8240/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6871 (2.6341)	Prec@1 35.000 (36.226)	Prec@5 66.500 (66.935)
Epoch: [7][8250/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6026 (2.6341)	Prec@1 41.500 (36.228)	Prec@5 67.000 (66.935)
Epoch: [7][8260/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7181 (2.6343)	Prec@1 37.000 (36.226)	Prec@5 68.500 (66.933)
Epoch: [7][8270/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7307 (2.6342)	Prec@1 36.000 (36.228)	Prec@5 66.500 (66.934)
Epoch: [7][8280/9018]	Time 0.706 (0.615)	Data 0.001 (0.001)	Loss 2.7603 (2.6342)	Prec@1 34.500 (36.229)	Prec@5 63.500 (66.937)
Epoch: [7][8290/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6956 (2.6342)	Prec@1 36.500 (36.229)	Prec@5 63.000 (66.937)
Epoch: [7][8300/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6796 (2.6342)	Prec@1 36.500 (36.229)	Prec@5 65.500 (66.935)
Epoch: [7][8310/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7384 (2.6342)	Prec@1 36.000 (36.231)	Prec@5 65.000 (66.935)
Epoch: [7][8320/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6294 (2.6342)	Prec@1 37.000 (36.229)	Prec@5 62.500 (66.933)
Epoch: [7][8330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6579 (2.6342)	Prec@1 34.500 (36.229)	Prec@5 65.500 (66.935)
Epoch: [7][8340/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.7368 (2.6342)	Prec@1 33.000 (36.227)	Prec@5 65.000 (66.933)
Epoch: [7][8350/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.3758 (2.6342)	Prec@1 42.000 (36.229)	Prec@5 76.000 (66.935)
Epoch: [7][8360/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.8147 (2.6342)	Prec@1 33.500 (36.227)	Prec@5 65.000 (66.934)
Epoch: [7][8370/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7694 (2.6342)	Prec@1 33.000 (36.228)	Prec@5 64.000 (66.935)
Epoch: [7][8380/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3535 (2.6341)	Prec@1 43.500 (36.228)	Prec@5 76.000 (66.937)
Epoch: [7][8390/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4449 (2.6341)	Prec@1 37.500 (36.227)	Prec@5 71.500 (66.936)
Epoch: [7][8400/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6629 (2.6342)	Prec@1 38.000 (36.227)	Prec@5 65.500 (66.936)
Epoch: [7][8410/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6922 (2.6342)	Prec@1 36.000 (36.225)	Prec@5 67.500 (66.935)
Epoch: [7][8420/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8773 (2.6342)	Prec@1 31.000 (36.226)	Prec@5 61.000 (66.935)
Epoch: [7][8430/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.7134 (2.6342)	Prec@1 35.500 (36.227)	Prec@5 66.500 (66.935)
Epoch: [7][8440/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5905 (2.6342)	Prec@1 40.000 (36.229)	Prec@5 69.500 (66.933)
Epoch: [7][8450/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5017 (2.6343)	Prec@1 37.500 (36.228)	Prec@5 70.500 (66.931)
Epoch: [7][8460/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6873 (2.6343)	Prec@1 35.000 (36.228)	Prec@5 63.500 (66.932)
Epoch: [7][8470/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6178 (2.6342)	Prec@1 36.000 (36.230)	Prec@5 67.000 (66.932)
Epoch: [7][8480/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5561 (2.6342)	Prec@1 36.000 (36.230)	Prec@5 72.000 (66.934)
Epoch: [7][8490/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6284 (2.6342)	Prec@1 35.500 (36.230)	Prec@5 64.000 (66.934)
Epoch: [7][8500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6159 (2.6342)	Prec@1 38.000 (36.232)	Prec@5 65.500 (66.934)
Epoch: [7][8510/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7283 (2.6342)	Prec@1 34.000 (36.230)	Prec@5 67.500 (66.933)
Epoch: [7][8520/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5069 (2.6342)	Prec@1 41.000 (36.232)	Prec@5 67.500 (66.934)
Epoch: [7][8530/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7283 (2.6342)	Prec@1 39.000 (36.234)	Prec@5 63.500 (66.933)
Epoch: [7][8540/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7997 (2.6343)	Prec@1 33.000 (36.234)	Prec@5 66.000 (66.932)
Epoch: [7][8550/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6295 (2.6343)	Prec@1 39.500 (36.234)	Prec@5 70.000 (66.933)
Epoch: [7][8560/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.6848 (2.6342)	Prec@1 37.500 (36.236)	Prec@5 66.000 (66.936)
Epoch: [7][8570/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4747 (2.6342)	Prec@1 41.000 (36.236)	Prec@5 71.000 (66.936)
Epoch: [7][8580/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7501 (2.6342)	Prec@1 34.500 (36.235)	Prec@5 63.000 (66.936)
Epoch: [7][8590/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.2893 (2.6342)	Prec@1 39.000 (36.235)	Prec@5 76.000 (66.936)
Epoch: [7][8600/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8760 (2.6342)	Prec@1 34.000 (36.236)	Prec@5 60.500 (66.935)
Epoch: [7][8610/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.7280 (2.6343)	Prec@1 36.500 (36.234)	Prec@5 62.500 (66.935)
Epoch: [7][8620/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7362 (2.6342)	Prec@1 35.500 (36.236)	Prec@5 67.500 (66.936)
Epoch: [7][8630/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3695 (2.6342)	Prec@1 38.500 (36.235)	Prec@5 74.000 (66.938)
Epoch: [7][8640/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7365 (2.6341)	Prec@1 34.500 (36.236)	Prec@5 65.500 (66.939)
Epoch: [7][8650/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.9353 (2.6342)	Prec@1 31.000 (36.236)	Prec@5 65.000 (66.938)
Epoch: [7][8660/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5335 (2.6342)	Prec@1 41.000 (36.237)	Prec@5 70.500 (66.938)
Epoch: [7][8670/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5402 (2.6341)	Prec@1 37.500 (36.237)	Prec@5 66.000 (66.939)
Epoch: [7][8680/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4180 (2.6342)	Prec@1 39.000 (36.238)	Prec@5 71.500 (66.939)
Epoch: [7][8690/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6804 (2.6342)	Prec@1 35.500 (36.238)	Prec@5 68.500 (66.938)
Epoch: [7][8700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7074 (2.6342)	Prec@1 35.500 (36.236)	Prec@5 64.000 (66.938)
Epoch: [7][8710/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7329 (2.6342)	Prec@1 36.500 (36.236)	Prec@5 63.000 (66.937)
Epoch: [7][8720/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.8521 (2.6342)	Prec@1 37.000 (36.237)	Prec@5 61.000 (66.938)
Epoch: [7][8730/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.3164 (2.6341)	Prec@1 43.000 (36.240)	Prec@5 71.500 (66.942)
Epoch: [7][8740/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6586 (2.6341)	Prec@1 35.500 (36.239)	Prec@5 66.000 (66.942)
Epoch: [7][8750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7678 (2.6341)	Prec@1 31.000 (36.237)	Prec@5 65.500 (66.942)
Epoch: [7][8760/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.9841 (2.6342)	Prec@1 29.000 (36.238)	Prec@5 59.500 (66.941)
Epoch: [7][8770/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6994 (2.6343)	Prec@1 38.000 (36.238)	Prec@5 67.500 (66.938)
Epoch: [7][8780/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6706 (2.6342)	Prec@1 36.500 (36.238)	Prec@5 66.500 (66.939)
Epoch: [7][8790/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4876 (2.6342)	Prec@1 36.000 (36.237)	Prec@5 74.500 (66.940)
Epoch: [7][8800/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4956 (2.6342)	Prec@1 39.500 (36.237)	Prec@5 69.500 (66.940)
Epoch: [7][8810/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6628 (2.6342)	Prec@1 33.000 (36.237)	Prec@5 67.500 (66.941)
Epoch: [7][8820/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6789 (2.6343)	Prec@1 33.000 (36.237)	Prec@5 65.500 (66.939)
Epoch: [7][8830/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5663 (2.6342)	Prec@1 38.000 (36.240)	Prec@5 65.500 (66.941)
Epoch: [7][8840/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6185 (2.6341)	Prec@1 36.000 (36.241)	Prec@5 70.500 (66.942)
Epoch: [7][8850/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6560 (2.6341)	Prec@1 36.000 (36.241)	Prec@5 66.500 (66.942)
Epoch: [7][8860/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5015 (2.6341)	Prec@1 35.000 (36.242)	Prec@5 70.000 (66.944)
Epoch: [7][8870/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4370 (2.6341)	Prec@1 40.000 (36.242)	Prec@5 69.000 (66.945)
Epoch: [7][8880/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6746 (2.6341)	Prec@1 30.000 (36.242)	Prec@5 65.000 (66.944)
Epoch: [7][8890/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.6707 (2.6341)	Prec@1 32.500 (36.242)	Prec@5 67.000 (66.944)
Epoch: [7][8900/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5575 (2.6341)	Prec@1 34.000 (36.242)	Prec@5 69.000 (66.944)
Epoch: [7][8910/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5428 (2.6340)	Prec@1 36.000 (36.242)	Prec@5 71.500 (66.945)
Epoch: [7][8920/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7349 (2.6341)	Prec@1 35.000 (36.240)	Prec@5 66.500 (66.944)
Epoch: [7][8930/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6959 (2.6342)	Prec@1 37.000 (36.238)	Prec@5 69.000 (66.943)
Epoch: [7][8940/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 2.6591 (2.6342)	Prec@1 34.000 (36.237)	Prec@5 64.500 (66.941)
Epoch: [7][8950/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5169 (2.6342)	Prec@1 37.500 (36.238)	Prec@5 73.000 (66.943)
Epoch: [7][8960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6474 (2.6342)	Prec@1 35.000 (36.238)	Prec@5 67.000 (66.943)
Epoch: [7][8970/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5555 (2.6342)	Prec@1 34.000 (36.239)	Prec@5 72.000 (66.943)
Epoch: [7][8980/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6784 (2.6342)	Prec@1 35.000 (36.237)	Prec@5 67.000 (66.942)
Epoch: [7][8990/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6926 (2.6341)	Prec@1 35.500 (36.239)	Prec@5 66.500 (66.944)
Epoch: [7][9000/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6524 (2.6340)	Prec@1 38.000 (36.240)	Prec@5 67.000 (66.946)
Epoch: [7][9010/9018]	Time 0.593 (0.615)	Data 0.000 (0.001)	Loss 2.4743 (2.6340)	Prec@1 37.500 (36.239)	Prec@5 66.500 (66.946)
Test: [0/183]	Time 1.153 (1.153)	Loss 3.3487 (3.3487)	Prec@1 22.500 (22.500)	Prec@5 54.000 (54.000)
Test: [10/183]	Time 0.182 (0.343)	Loss 2.0924 (2.3792)	Prec@1 50.500 (39.955)	Prec@5 75.000 (72.591)
Test: [20/183]	Time 0.181 (0.272)	Loss 2.8971 (2.3283)	Prec@1 31.000 (40.381)	Prec@5 63.500 (73.881)
Test: [30/183]	Time 0.212 (0.251)	Loss 3.6711 (2.3348)	Prec@1 11.000 (40.355)	Prec@5 43.500 (73.565)
Test: [40/183]	Time 0.207 (0.238)	Loss 2.8601 (2.3687)	Prec@1 26.500 (40.390)	Prec@5 67.000 (72.317)
Test: [50/183]	Time 0.189 (0.229)	Loss 1.6906 (2.3086)	Prec@1 61.000 (42.127)	Prec@5 86.000 (73.265)
Test: [60/183]	Time 0.192 (0.223)	Loss 3.0130 (2.3714)	Prec@1 33.500 (40.082)	Prec@5 60.000 (72.492)
Test: [70/183]	Time 0.207 (0.219)	Loss 1.3493 (2.3376)	Prec@1 66.500 (40.500)	Prec@5 88.500 (73.254)
Test: [80/183]	Time 0.198 (0.217)	Loss 2.1366 (2.3170)	Prec@1 43.500 (41.025)	Prec@5 78.500 (73.519)
Test: [90/183]	Time 0.187 (0.215)	Loss 2.8800 (2.3061)	Prec@1 36.000 (41.401)	Prec@5 64.500 (73.698)
Test: [100/183]	Time 0.185 (0.212)	Loss 1.3823 (2.3078)	Prec@1 64.500 (41.396)	Prec@5 87.500 (73.743)
Test: [110/183]	Time 0.203 (0.211)	Loss 1.3223 (2.3028)	Prec@1 68.500 (41.658)	Prec@5 86.500 (73.824)
Test: [120/183]	Time 0.255 (0.210)	Loss 2.8348 (2.2933)	Prec@1 27.000 (41.669)	Prec@5 60.000 (74.004)
Test: [130/183]	Time 0.183 (0.208)	Loss 3.4261 (2.3025)	Prec@1 14.000 (41.317)	Prec@5 52.000 (74.141)
Test: [140/183]	Time 0.190 (0.207)	Loss 1.6906 (2.2902)	Prec@1 57.500 (41.670)	Prec@5 81.000 (74.362)
Test: [150/183]	Time 0.196 (0.206)	Loss 0.8486 (2.2820)	Prec@1 80.000 (41.990)	Prec@5 95.500 (74.361)
Test: [160/183]	Time 0.190 (0.206)	Loss 2.3781 (2.2786)	Prec@1 45.000 (42.248)	Prec@5 63.000 (74.348)
Test: [170/183]	Time 0.317 (0.205)	Loss 3.0843 (2.2943)	Prec@1 22.500 (41.912)	Prec@5 66.000 (74.041)
Test: [180/183]	Time 0.183 (0.204)	Loss 2.5282 (2.3036)	Prec@1 37.000 (41.873)	Prec@5 71.000 (73.812)
 * Prec@1 41.882 Prec@5 73.792
Epoch: [8][0/9018]	Time 2.764 (2.764)	Data 2.114 (2.114)	Loss 2.6681 (2.6681)	Prec@1 35.500 (35.500)	Prec@5 65.000 (65.000)
Epoch: [8][10/9018]	Time 0.591 (0.810)	Data 0.001 (0.193)	Loss 2.7041 (2.6001)	Prec@1 35.500 (37.500)	Prec@5 63.000 (66.318)
Epoch: [8][20/9018]	Time 0.711 (0.714)	Data 0.001 (0.101)	Loss 2.6987 (2.6222)	Prec@1 33.000 (36.595)	Prec@5 65.500 (66.714)
Epoch: [8][30/9018]	Time 0.597 (0.676)	Data 0.001 (0.069)	Loss 2.5222 (2.6237)	Prec@1 40.500 (36.548)	Prec@5 70.000 (67.081)
Epoch: [8][40/9018]	Time 0.592 (0.660)	Data 0.001 (0.052)	Loss 2.4819 (2.6235)	Prec@1 36.000 (36.634)	Prec@5 70.500 (66.951)
Epoch: [8][50/9018]	Time 0.598 (0.650)	Data 0.001 (0.042)	Loss 2.5660 (2.6339)	Prec@1 34.500 (36.265)	Prec@5 66.500 (66.775)
Epoch: [8][60/9018]	Time 0.594 (0.645)	Data 0.001 (0.035)	Loss 2.5897 (2.6266)	Prec@1 39.000 (36.557)	Prec@5 67.000 (66.992)
Epoch: [8][70/9018]	Time 0.618 (0.642)	Data 0.001 (0.031)	Loss 2.6885 (2.6261)	Prec@1 35.500 (36.570)	Prec@5 66.500 (67.169)
Epoch: [8][80/9018]	Time 0.622 (0.637)	Data 0.001 (0.027)	Loss 2.7401 (2.6281)	Prec@1 36.000 (36.407)	Prec@5 65.500 (67.019)
Epoch: [8][90/9018]	Time 0.596 (0.635)	Data 0.001 (0.024)	Loss 2.7161 (2.6368)	Prec@1 39.000 (36.236)	Prec@5 63.500 (66.786)
Epoch: [8][100/9018]	Time 0.597 (0.632)	Data 0.001 (0.022)	Loss 2.5982 (2.6354)	Prec@1 35.000 (36.084)	Prec@5 67.000 (66.777)
Epoch: [8][110/9018]	Time 0.598 (0.631)	Data 0.001 (0.020)	Loss 2.4901 (2.6310)	Prec@1 37.000 (36.140)	Prec@5 71.500 (66.896)
Epoch: [8][120/9018]	Time 0.614 (0.630)	Data 0.001 (0.018)	Loss 2.8359 (2.6345)	Prec@1 30.500 (36.083)	Prec@5 63.500 (66.781)
Epoch: [8][130/9018]	Time 0.604 (0.628)	Data 0.001 (0.017)	Loss 2.5418 (2.6331)	Prec@1 36.000 (36.137)	Prec@5 70.000 (66.844)
Epoch: [8][140/9018]	Time 0.602 (0.628)	Data 0.001 (0.016)	Loss 2.5630 (2.6307)	Prec@1 39.000 (36.103)	Prec@5 70.500 (66.911)
Epoch: [8][150/9018]	Time 0.600 (0.626)	Data 0.001 (0.015)	Loss 2.5791 (2.6262)	Prec@1 35.500 (36.185)	Prec@5 64.000 (67.003)
Epoch: [8][160/9018]	Time 0.597 (0.626)	Data 0.001 (0.014)	Loss 2.8554 (2.6266)	Prec@1 33.000 (36.158)	Prec@5 62.500 (67.040)
Epoch: [8][170/9018]	Time 0.626 (0.626)	Data 0.001 (0.013)	Loss 2.8032 (2.6260)	Prec@1 31.500 (36.132)	Prec@5 64.000 (66.997)
Epoch: [8][180/9018]	Time 0.601 (0.625)	Data 0.001 (0.012)	Loss 2.5837 (2.6202)	Prec@1 35.500 (36.276)	Prec@5 67.500 (67.141)
Epoch: [8][190/9018]	Time 0.605 (0.624)	Data 0.001 (0.012)	Loss 2.6292 (2.6205)	Prec@1 40.000 (36.285)	Prec@5 65.000 (67.076)
Epoch: [8][200/9018]	Time 0.623 (0.623)	Data 0.001 (0.011)	Loss 2.7135 (2.6202)	Prec@1 36.500 (36.323)	Prec@5 66.000 (67.082)
Epoch: [8][210/9018]	Time 0.609 (0.623)	Data 0.001 (0.011)	Loss 2.5622 (2.6190)	Prec@1 32.500 (36.306)	Prec@5 67.500 (67.116)
Epoch: [8][220/9018]	Time 0.597 (0.623)	Data 0.001 (0.010)	Loss 2.5571 (2.6178)	Prec@1 36.000 (36.317)	Prec@5 66.500 (67.152)
Epoch: [8][230/9018]	Time 0.632 (0.622)	Data 0.001 (0.010)	Loss 2.6786 (2.6193)	Prec@1 32.000 (36.325)	Prec@5 65.000 (67.117)
Epoch: [8][240/9018]	Time 0.595 (0.622)	Data 0.001 (0.010)	Loss 2.6091 (2.6170)	Prec@1 39.000 (36.373)	Prec@5 64.000 (67.172)
Epoch: [8][250/9018]	Time 0.596 (0.621)	Data 0.001 (0.009)	Loss 2.3159 (2.6182)	Prec@1 42.500 (36.384)	Prec@5 71.500 (67.127)
Epoch: [8][260/9018]	Time 0.597 (0.621)	Data 0.001 (0.009)	Loss 2.6952 (2.6195)	Prec@1 36.500 (36.343)	Prec@5 63.500 (67.080)
Epoch: [8][270/9018]	Time 0.600 (0.621)	Data 0.001 (0.009)	Loss 2.8431 (2.6175)	Prec@1 30.000 (36.347)	Prec@5 66.000 (67.172)
Epoch: [8][280/9018]	Time 0.605 (0.620)	Data 0.001 (0.008)	Loss 2.8794 (2.6173)	Prec@1 31.500 (36.352)	Prec@5 62.000 (67.187)
Epoch: [8][290/9018]	Time 0.598 (0.620)	Data 0.001 (0.008)	Loss 2.6303 (2.6167)	Prec@1 37.000 (36.388)	Prec@5 69.000 (67.168)
Epoch: [8][300/9018]	Time 0.707 (0.620)	Data 0.001 (0.008)	Loss 2.6283 (2.6157)	Prec@1 30.500 (36.394)	Prec@5 66.500 (67.140)
Epoch: [8][310/9018]	Time 0.621 (0.620)	Data 0.001 (0.008)	Loss 2.6191 (2.6172)	Prec@1 35.000 (36.350)	Prec@5 65.000 (67.103)
Epoch: [8][320/9018]	Time 0.598 (0.620)	Data 0.001 (0.007)	Loss 2.5184 (2.6173)	Prec@1 34.500 (36.335)	Prec@5 73.000 (67.126)
Epoch: [8][330/9018]	Time 0.600 (0.619)	Data 0.001 (0.007)	Loss 2.7620 (2.6186)	Prec@1 31.500 (36.319)	Prec@5 65.000 (67.125)
Epoch: [8][340/9018]	Time 0.593 (0.619)	Data 0.001 (0.007)	Loss 2.6726 (2.6187)	Prec@1 34.000 (36.293)	Prec@5 65.500 (67.151)
Epoch: [8][350/9018]	Time 0.741 (0.619)	Data 0.001 (0.007)	Loss 2.5339 (2.6167)	Prec@1 33.000 (36.326)	Prec@5 68.500 (67.191)
Epoch: [8][360/9018]	Time 0.631 (0.619)	Data 0.001 (0.007)	Loss 2.5436 (2.6161)	Prec@1 37.000 (36.378)	Prec@5 68.000 (67.172)
Epoch: [8][370/9018]	Time 0.592 (0.619)	Data 0.001 (0.006)	Loss 2.7903 (2.6160)	Prec@1 33.500 (36.367)	Prec@5 62.500 (67.170)
Epoch: [8][380/9018]	Time 0.630 (0.619)	Data 0.001 (0.006)	Loss 2.7901 (2.6172)	Prec@1 35.000 (36.358)	Prec@5 65.500 (67.173)
Epoch: [8][390/9018]	Time 0.591 (0.619)	Data 0.001 (0.006)	Loss 2.6122 (2.6184)	Prec@1 33.000 (36.297)	Prec@5 68.000 (67.152)
Epoch: [8][400/9018]	Time 0.610 (0.619)	Data 0.001 (0.006)	Loss 2.3554 (2.6173)	Prec@1 41.500 (36.318)	Prec@5 73.000 (67.153)
Epoch: [8][410/9018]	Time 0.599 (0.618)	Data 0.001 (0.006)	Loss 2.5080 (2.6182)	Prec@1 39.500 (36.293)	Prec@5 70.000 (67.152)
Epoch: [8][420/9018]	Time 0.595 (0.618)	Data 0.001 (0.006)	Loss 2.6038 (2.6174)	Prec@1 34.500 (36.296)	Prec@5 71.000 (67.173)
Epoch: [8][430/9018]	Time 0.621 (0.618)	Data 0.001 (0.006)	Loss 2.5987 (2.6177)	Prec@1 39.500 (36.288)	Prec@5 72.000 (67.195)
Epoch: [8][440/9018]	Time 0.600 (0.618)	Data 0.001 (0.006)	Loss 2.5540 (2.6173)	Prec@1 36.000 (36.302)	Prec@5 68.500 (67.206)
Epoch: [8][450/9018]	Time 0.602 (0.618)	Data 0.001 (0.005)	Loss 2.4879 (2.6178)	Prec@1 40.000 (36.309)	Prec@5 69.500 (67.203)
Epoch: [8][460/9018]	Time 0.625 (0.617)	Data 0.001 (0.005)	Loss 2.3788 (2.6166)	Prec@1 41.000 (36.350)	Prec@5 71.000 (67.218)
Epoch: [8][470/9018]	Time 0.592 (0.617)	Data 0.001 (0.005)	Loss 2.3215 (2.6159)	Prec@1 45.500 (36.368)	Prec@5 72.500 (67.234)
Epoch: [8][480/9018]	Time 0.602 (0.617)	Data 0.001 (0.005)	Loss 2.5997 (2.6157)	Prec@1 37.000 (36.361)	Prec@5 71.000 (67.259)
Epoch: [8][490/9018]	Time 0.597 (0.617)	Data 0.001 (0.005)	Loss 2.5774 (2.6149)	Prec@1 37.000 (36.392)	Prec@5 70.000 (67.263)
Epoch: [8][500/9018]	Time 0.603 (0.617)	Data 0.001 (0.005)	Loss 2.5783 (2.6144)	Prec@1 39.500 (36.426)	Prec@5 63.500 (67.258)
Epoch: [8][510/9018]	Time 0.624 (0.617)	Data 0.001 (0.005)	Loss 2.5372 (2.6135)	Prec@1 39.000 (36.450)	Prec@5 69.000 (67.283)
Epoch: [8][520/9018]	Time 0.603 (0.617)	Data 0.001 (0.005)	Loss 2.7055 (2.6129)	Prec@1 35.000 (36.453)	Prec@5 65.500 (67.282)
Epoch: [8][530/9018]	Time 0.601 (0.617)	Data 0.001 (0.005)	Loss 2.4105 (2.6125)	Prec@1 42.000 (36.471)	Prec@5 72.500 (67.279)
Epoch: [8][540/9018]	Time 0.595 (0.617)	Data 0.001 (0.005)	Loss 2.5227 (2.6123)	Prec@1 34.000 (36.472)	Prec@5 69.000 (67.278)
Epoch: [8][550/9018]	Time 0.598 (0.617)	Data 0.001 (0.005)	Loss 2.5558 (2.6129)	Prec@1 39.500 (36.466)	Prec@5 64.500 (67.243)
Epoch: [8][560/9018]	Time 0.623 (0.617)	Data 0.001 (0.005)	Loss 2.8808 (2.6137)	Prec@1 27.500 (36.424)	Prec@5 64.500 (67.245)
Epoch: [8][570/9018]	Time 0.593 (0.617)	Data 0.001 (0.004)	Loss 2.7632 (2.6144)	Prec@1 36.500 (36.435)	Prec@5 67.500 (67.251)
Epoch: [8][580/9018]	Time 0.613 (0.616)	Data 0.001 (0.004)	Loss 2.7747 (2.6158)	Prec@1 35.000 (36.413)	Prec@5 65.000 (67.240)
Epoch: [8][590/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.6583 (2.6156)	Prec@1 32.500 (36.423)	Prec@5 66.000 (67.236)
Epoch: [8][600/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.5387 (2.6150)	Prec@1 39.500 (36.430)	Prec@5 70.000 (67.239)
Epoch: [8][610/9018]	Time 0.618 (0.616)	Data 0.001 (0.004)	Loss 2.8365 (2.6158)	Prec@1 33.000 (36.410)	Prec@5 62.000 (67.231)
Epoch: [8][620/9018]	Time 0.599 (0.616)	Data 0.001 (0.004)	Loss 2.6573 (2.6162)	Prec@1 35.000 (36.416)	Prec@5 71.000 (67.226)
Epoch: [8][630/9018]	Time 0.756 (0.617)	Data 0.001 (0.004)	Loss 2.4872 (2.6155)	Prec@1 38.000 (36.434)	Prec@5 67.500 (67.241)
Epoch: [8][640/9018]	Time 0.596 (0.616)	Data 0.001 (0.004)	Loss 2.5121 (2.6153)	Prec@1 39.500 (36.450)	Prec@5 72.000 (67.241)
Epoch: [8][650/9018]	Time 0.596 (0.616)	Data 0.001 (0.004)	Loss 2.7925 (2.6169)	Prec@1 36.000 (36.432)	Prec@5 64.000 (67.195)
Epoch: [8][660/9018]	Time 0.604 (0.616)	Data 0.001 (0.004)	Loss 2.7246 (2.6167)	Prec@1 33.000 (36.425)	Prec@5 64.500 (67.194)
Epoch: [8][670/9018]	Time 0.631 (0.616)	Data 0.001 (0.004)	Loss 2.2640 (2.6157)	Prec@1 43.500 (36.424)	Prec@5 69.000 (67.212)
Epoch: [8][680/9018]	Time 0.730 (0.616)	Data 0.001 (0.004)	Loss 2.4634 (2.6151)	Prec@1 38.500 (36.441)	Prec@5 71.500 (67.244)
Epoch: [8][690/9018]	Time 0.597 (0.616)	Data 0.001 (0.004)	Loss 2.7614 (2.6156)	Prec@1 35.000 (36.440)	Prec@5 67.500 (67.246)
Epoch: [8][700/9018]	Time 0.600 (0.616)	Data 0.001 (0.004)	Loss 2.4254 (2.6150)	Prec@1 38.500 (36.463)	Prec@5 70.000 (67.262)
Epoch: [8][710/9018]	Time 0.600 (0.616)	Data 0.001 (0.004)	Loss 2.7535 (2.6150)	Prec@1 30.500 (36.467)	Prec@5 64.500 (67.256)
Epoch: [8][720/9018]	Time 0.601 (0.616)	Data 0.001 (0.004)	Loss 2.8810 (2.6158)	Prec@1 33.500 (36.448)	Prec@5 64.000 (67.243)
Epoch: [8][730/9018]	Time 0.608 (0.616)	Data 0.001 (0.004)	Loss 2.8601 (2.6155)	Prec@1 34.500 (36.453)	Prec@5 57.500 (67.256)
Epoch: [8][740/9018]	Time 0.594 (0.616)	Data 0.001 (0.004)	Loss 2.7681 (2.6161)	Prec@1 30.000 (36.434)	Prec@5 66.000 (67.244)
Epoch: [8][750/9018]	Time 0.607 (0.616)	Data 0.001 (0.004)	Loss 2.5596 (2.6163)	Prec@1 39.000 (36.416)	Prec@5 69.500 (67.254)
Epoch: [8][760/9018]	Time 0.603 (0.616)	Data 0.001 (0.004)	Loss 2.5142 (2.6162)	Prec@1 41.500 (36.425)	Prec@5 67.500 (67.254)
Epoch: [8][770/9018]	Time 0.628 (0.616)	Data 0.001 (0.004)	Loss 2.4436 (2.6161)	Prec@1 40.000 (36.430)	Prec@5 73.500 (67.259)
Epoch: [8][780/9018]	Time 0.630 (0.616)	Data 0.001 (0.003)	Loss 2.4770 (2.6162)	Prec@1 39.500 (36.412)	Prec@5 71.500 (67.252)
Epoch: [8][790/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.9200 (2.6162)	Prec@1 30.500 (36.408)	Prec@5 61.000 (67.250)
Epoch: [8][800/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 2.8226 (2.6167)	Prec@1 32.000 (36.380)	Prec@5 64.500 (67.230)
Epoch: [8][810/9018]	Time 0.630 (0.616)	Data 0.001 (0.003)	Loss 2.6792 (2.6170)	Prec@1 32.000 (36.368)	Prec@5 66.500 (67.229)
Epoch: [8][820/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.4991 (2.6164)	Prec@1 41.000 (36.388)	Prec@5 70.500 (67.241)
Epoch: [8][830/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.6022 (2.6165)	Prec@1 39.500 (36.397)	Prec@5 66.500 (67.247)
Epoch: [8][840/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.6230 (2.6163)	Prec@1 35.000 (36.411)	Prec@5 67.500 (67.246)
Epoch: [8][850/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.6910 (2.6161)	Prec@1 34.500 (36.404)	Prec@5 62.500 (67.251)
Epoch: [8][860/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.5914 (2.6155)	Prec@1 34.500 (36.427)	Prec@5 68.500 (67.260)
Epoch: [8][870/9018]	Time 0.621 (0.616)	Data 0.001 (0.003)	Loss 2.5772 (2.6155)	Prec@1 39.000 (36.435)	Prec@5 71.000 (67.264)
Epoch: [8][880/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.6676 (2.6149)	Prec@1 37.500 (36.456)	Prec@5 64.500 (67.262)
Epoch: [8][890/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.7256 (2.6147)	Prec@1 34.500 (36.472)	Prec@5 66.000 (67.264)
Epoch: [8][900/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.6491 (2.6142)	Prec@1 36.500 (36.482)	Prec@5 66.500 (67.280)
Epoch: [8][910/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.3229 (2.6141)	Prec@1 42.000 (36.484)	Prec@5 75.000 (67.284)
Epoch: [8][920/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.4681 (2.6142)	Prec@1 40.000 (36.500)	Prec@5 69.000 (67.288)
Epoch: [8][930/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.8394 (2.6147)	Prec@1 30.500 (36.479)	Prec@5 64.500 (67.280)
Epoch: [8][940/9018]	Time 0.632 (0.615)	Data 0.001 (0.003)	Loss 2.6349 (2.6141)	Prec@1 38.500 (36.486)	Prec@5 67.500 (67.297)
Epoch: [8][950/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.6198 (2.6145)	Prec@1 35.500 (36.482)	Prec@5 67.000 (67.277)
Epoch: [8][960/9018]	Time 0.742 (0.616)	Data 0.001 (0.003)	Loss 2.5835 (2.6142)	Prec@1 39.000 (36.480)	Prec@5 68.000 (67.284)
Epoch: [8][970/9018]	Time 0.613 (0.615)	Data 0.001 (0.003)	Loss 2.6832 (2.6147)	Prec@1 35.000 (36.479)	Prec@5 64.500 (67.278)
Epoch: [8][980/9018]	Time 0.614 (0.616)	Data 0.001 (0.003)	Loss 2.8677 (2.6144)	Prec@1 34.500 (36.494)	Prec@5 60.000 (67.282)
Epoch: [8][990/9018]	Time 0.607 (0.615)	Data 0.001 (0.003)	Loss 2.6255 (2.6136)	Prec@1 39.000 (36.514)	Prec@5 65.500 (67.294)
Epoch: [8][1000/9018]	Time 0.628 (0.615)	Data 0.001 (0.003)	Loss 2.5172 (2.6136)	Prec@1 34.000 (36.513)	Prec@5 67.500 (67.295)
Epoch: [8][1010/9018]	Time 0.719 (0.615)	Data 0.001 (0.003)	Loss 2.6375 (2.6137)	Prec@1 33.500 (36.514)	Prec@5 68.000 (67.300)
Epoch: [8][1020/9018]	Time 0.598 (0.615)	Data 0.001 (0.003)	Loss 2.7439 (2.6140)	Prec@1 35.000 (36.494)	Prec@5 61.000 (67.296)
Epoch: [8][1030/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 2.6939 (2.6141)	Prec@1 33.500 (36.493)	Prec@5 66.500 (67.290)
Epoch: [8][1040/9018]	Time 0.611 (0.615)	Data 0.001 (0.003)	Loss 2.7094 (2.6141)	Prec@1 35.000 (36.499)	Prec@5 67.500 (67.291)
Epoch: [8][1050/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 2.8428 (2.6139)	Prec@1 35.000 (36.507)	Prec@5 63.000 (67.300)
Epoch: [8][1060/9018]	Time 0.601 (0.615)	Data 0.001 (0.003)	Loss 2.5606 (2.6139)	Prec@1 38.500 (36.498)	Prec@5 69.000 (67.302)
Epoch: [8][1070/9018]	Time 0.620 (0.615)	Data 0.001 (0.003)	Loss 2.3745 (2.6133)	Prec@1 45.500 (36.510)	Prec@5 70.000 (67.315)
Epoch: [8][1080/9018]	Time 0.598 (0.615)	Data 0.001 (0.003)	Loss 2.5942 (2.6133)	Prec@1 42.500 (36.539)	Prec@5 67.500 (67.316)
Epoch: [8][1090/9018]	Time 0.600 (0.615)	Data 0.001 (0.003)	Loss 2.4822 (2.6133)	Prec@1 40.000 (36.543)	Prec@5 69.000 (67.311)
Epoch: [8][1100/9018]	Time 0.606 (0.615)	Data 0.001 (0.003)	Loss 2.5394 (2.6130)	Prec@1 38.000 (36.544)	Prec@5 72.500 (67.322)
Epoch: [8][1110/9018]	Time 0.598 (0.615)	Data 0.001 (0.003)	Loss 2.7655 (2.6132)	Prec@1 37.500 (36.547)	Prec@5 62.000 (67.319)
Epoch: [8][1120/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 2.4177 (2.6127)	Prec@1 43.500 (36.551)	Prec@5 76.000 (67.342)
Epoch: [8][1130/9018]	Time 0.626 (0.615)	Data 0.001 (0.003)	Loss 2.7482 (2.6132)	Prec@1 35.500 (36.546)	Prec@5 64.500 (67.333)
Epoch: [8][1140/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 2.2351 (2.6125)	Prec@1 43.000 (36.553)	Prec@5 71.000 (67.340)
Epoch: [8][1150/9018]	Time 0.606 (0.615)	Data 0.001 (0.003)	Loss 2.6257 (2.6125)	Prec@1 36.000 (36.570)	Prec@5 64.000 (67.341)
Epoch: [8][1160/9018]	Time 0.616 (0.615)	Data 0.001 (0.003)	Loss 2.4601 (2.6130)	Prec@1 40.500 (36.554)	Prec@5 70.500 (67.330)
Epoch: [8][1170/9018]	Time 0.633 (0.615)	Data 0.001 (0.003)	Loss 2.6662 (2.6133)	Prec@1 38.500 (36.554)	Prec@5 68.000 (67.324)
Epoch: [8][1180/9018]	Time 0.601 (0.615)	Data 0.001 (0.003)	Loss 2.5738 (2.6130)	Prec@1 38.500 (36.555)	Prec@5 68.500 (67.331)
Epoch: [8][1190/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 2.8866 (2.6139)	Prec@1 34.500 (36.537)	Prec@5 63.000 (67.317)
Epoch: [8][1200/9018]	Time 0.600 (0.615)	Data 0.001 (0.003)	Loss 2.6919 (2.6140)	Prec@1 32.000 (36.527)	Prec@5 67.500 (67.312)
Epoch: [8][1210/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 2.8071 (2.6142)	Prec@1 36.000 (36.517)	Prec@5 62.000 (67.313)
Epoch: [8][1220/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 2.5589 (2.6145)	Prec@1 39.500 (36.516)	Prec@5 70.500 (67.313)
Epoch: [8][1230/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.7271 (2.6150)	Prec@1 36.500 (36.518)	Prec@5 64.500 (67.303)
Epoch: [8][1240/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6482 (2.6153)	Prec@1 33.000 (36.513)	Prec@5 67.500 (67.303)
Epoch: [8][1250/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 3.0367 (2.6158)	Prec@1 31.500 (36.503)	Prec@5 56.500 (67.291)
Epoch: [8][1260/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.9072 (2.6157)	Prec@1 32.500 (36.506)	Prec@5 61.000 (67.295)
Epoch: [8][1270/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.7380 (2.6154)	Prec@1 34.000 (36.507)	Prec@5 66.000 (67.309)
Epoch: [8][1280/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4452 (2.6155)	Prec@1 40.000 (36.509)	Prec@5 68.000 (67.304)
Epoch: [8][1290/9018]	Time 0.723 (0.615)	Data 0.001 (0.002)	Loss 2.4299 (2.6153)	Prec@1 39.000 (36.521)	Prec@5 71.000 (67.308)
Epoch: [8][1300/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.4334 (2.6158)	Prec@1 42.000 (36.513)	Prec@5 70.000 (67.296)
Epoch: [8][1310/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.5749 (2.6155)	Prec@1 39.500 (36.528)	Prec@5 69.000 (67.295)
Epoch: [8][1320/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.5556 (2.6155)	Prec@1 40.500 (36.530)	Prec@5 65.500 (67.300)
Epoch: [8][1330/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.7848 (2.6156)	Prec@1 33.000 (36.527)	Prec@5 63.500 (67.299)
Epoch: [8][1340/9018]	Time 0.714 (0.615)	Data 0.001 (0.002)	Loss 2.7424 (2.6161)	Prec@1 33.500 (36.523)	Prec@5 65.000 (67.295)
Epoch: [8][1350/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.6347 (2.6163)	Prec@1 36.500 (36.520)	Prec@5 69.500 (67.301)
Epoch: [8][1360/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6851 (2.6163)	Prec@1 36.000 (36.511)	Prec@5 65.000 (67.291)
Epoch: [8][1370/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.5586 (2.6161)	Prec@1 40.000 (36.521)	Prec@5 70.500 (67.291)
Epoch: [8][1380/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.6469 (2.6157)	Prec@1 35.000 (36.533)	Prec@5 65.500 (67.297)
Epoch: [8][1390/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5887 (2.6156)	Prec@1 40.000 (36.533)	Prec@5 67.000 (67.302)
Epoch: [8][1400/9018]	Time 0.636 (0.615)	Data 0.001 (0.002)	Loss 2.6178 (2.6162)	Prec@1 36.000 (36.519)	Prec@5 65.500 (67.292)
Epoch: [8][1410/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.7957 (2.6163)	Prec@1 33.500 (36.518)	Prec@5 65.000 (67.302)
Epoch: [8][1420/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.4651 (2.6164)	Prec@1 38.500 (36.514)	Prec@5 72.500 (67.296)
Epoch: [8][1430/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.8237 (2.6162)	Prec@1 38.500 (36.522)	Prec@5 61.500 (67.303)
Epoch: [8][1440/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.7139 (2.6165)	Prec@1 30.500 (36.518)	Prec@5 67.500 (67.296)
Epoch: [8][1450/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.2895 (2.6162)	Prec@1 37.500 (36.524)	Prec@5 72.000 (67.300)
Epoch: [8][1460/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5675 (2.6162)	Prec@1 39.500 (36.528)	Prec@5 68.500 (67.305)
Epoch: [8][1470/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 2.8522 (2.6164)	Prec@1 33.500 (36.529)	Prec@5 62.000 (67.307)
Epoch: [8][1480/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5987 (2.6164)	Prec@1 40.000 (36.531)	Prec@5 65.000 (67.315)
Epoch: [8][1490/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.7449 (2.6169)	Prec@1 40.500 (36.523)	Prec@5 64.500 (67.311)
Epoch: [8][1500/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.6424 (2.6176)	Prec@1 36.000 (36.510)	Prec@5 65.500 (67.295)
Epoch: [8][1510/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4356 (2.6177)	Prec@1 35.500 (36.515)	Prec@5 74.500 (67.297)
Epoch: [8][1520/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.3973 (2.6172)	Prec@1 41.500 (36.531)	Prec@5 69.000 (67.298)
Epoch: [8][1530/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7325 (2.6172)	Prec@1 32.000 (36.524)	Prec@5 66.000 (67.296)
Epoch: [8][1540/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5695 (2.6168)	Prec@1 35.000 (36.524)	Prec@5 65.500 (67.303)
Epoch: [8][1550/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.8256 (2.6166)	Prec@1 28.000 (36.525)	Prec@5 61.500 (67.301)
Epoch: [8][1560/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5122 (2.6166)	Prec@1 35.000 (36.523)	Prec@5 71.000 (67.305)
Epoch: [8][1570/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.5555 (2.6164)	Prec@1 36.000 (36.521)	Prec@5 68.500 (67.305)
Epoch: [8][1580/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.5365 (2.6166)	Prec@1 36.000 (36.519)	Prec@5 68.500 (67.296)
Epoch: [8][1590/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5195 (2.6162)	Prec@1 41.000 (36.525)	Prec@5 70.500 (67.302)
Epoch: [8][1600/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.4183 (2.6156)	Prec@1 38.500 (36.534)	Prec@5 75.500 (67.319)
Epoch: [8][1610/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.7497 (2.6161)	Prec@1 36.000 (36.535)	Prec@5 64.500 (67.307)
Epoch: [8][1620/9018]	Time 0.722 (0.615)	Data 0.001 (0.002)	Loss 2.8482 (2.6163)	Prec@1 32.000 (36.532)	Prec@5 62.000 (67.299)
Epoch: [8][1630/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.6707 (2.6162)	Prec@1 36.000 (36.532)	Prec@5 65.500 (67.296)
Epoch: [8][1640/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7158 (2.6160)	Prec@1 34.500 (36.527)	Prec@5 66.000 (67.300)
Epoch: [8][1650/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.4424 (2.6164)	Prec@1 40.000 (36.522)	Prec@5 73.000 (67.293)
Epoch: [8][1660/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.4322 (2.6165)	Prec@1 42.500 (36.525)	Prec@5 68.500 (67.290)
Epoch: [8][1670/9018]	Time 0.732 (0.615)	Data 0.001 (0.002)	Loss 2.5690 (2.6166)	Prec@1 38.000 (36.523)	Prec@5 65.000 (67.285)
Epoch: [8][1680/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7658 (2.6168)	Prec@1 28.500 (36.513)	Prec@5 62.000 (67.281)
Epoch: [8][1690/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.6588 (2.6168)	Prec@1 30.000 (36.507)	Prec@5 68.500 (67.281)
Epoch: [8][1700/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6162 (2.6166)	Prec@1 40.500 (36.513)	Prec@5 67.500 (67.286)
Epoch: [8][1710/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.7456 (2.6167)	Prec@1 34.500 (36.516)	Prec@5 61.000 (67.280)
Epoch: [8][1720/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.5744 (2.6171)	Prec@1 33.500 (36.508)	Prec@5 66.500 (67.268)
Epoch: [8][1730/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6997 (2.6171)	Prec@1 33.500 (36.513)	Prec@5 66.500 (67.267)
Epoch: [8][1740/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.4590 (2.6171)	Prec@1 34.500 (36.509)	Prec@5 75.500 (67.269)
Epoch: [8][1750/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.4676 (2.6171)	Prec@1 35.500 (36.511)	Prec@5 74.000 (67.270)
Epoch: [8][1760/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.6606 (2.6175)	Prec@1 37.500 (36.501)	Prec@5 63.500 (67.264)
Epoch: [8][1770/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6451 (2.6175)	Prec@1 39.500 (36.503)	Prec@5 70.000 (67.263)
Epoch: [8][1780/9018]	Time 0.604 (0.614)	Data 0.001 (0.002)	Loss 2.6314 (2.6173)	Prec@1 36.000 (36.499)	Prec@5 67.500 (67.275)
Epoch: [8][1790/9018]	Time 0.604 (0.614)	Data 0.001 (0.002)	Loss 2.5941 (2.6174)	Prec@1 36.000 (36.502)	Prec@5 69.500 (67.279)
Epoch: [8][1800/9018]	Time 0.602 (0.614)	Data 0.001 (0.002)	Loss 2.4632 (2.6175)	Prec@1 41.500 (36.506)	Prec@5 71.500 (67.269)
Epoch: [8][1810/9018]	Time 0.599 (0.614)	Data 0.001 (0.002)	Loss 2.6619 (2.6176)	Prec@1 34.500 (36.511)	Prec@5 66.500 (67.270)
Epoch: [8][1820/9018]	Time 0.596 (0.614)	Data 0.001 (0.002)	Loss 2.7112 (2.6177)	Prec@1 35.000 (36.507)	Prec@5 63.000 (67.265)
Epoch: [8][1830/9018]	Time 0.597 (0.614)	Data 0.001 (0.002)	Loss 2.3754 (2.6175)	Prec@1 45.500 (36.512)	Prec@5 70.500 (67.267)
Epoch: [8][1840/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.6877 (2.6177)	Prec@1 39.000 (36.511)	Prec@5 62.500 (67.261)
Epoch: [8][1850/9018]	Time 0.604 (0.614)	Data 0.001 (0.002)	Loss 2.5692 (2.6175)	Prec@1 35.000 (36.518)	Prec@5 65.500 (67.262)
Epoch: [8][1860/9018]	Time 0.597 (0.614)	Data 0.001 (0.002)	Loss 2.8415 (2.6174)	Prec@1 32.500 (36.521)	Prec@5 63.500 (67.263)
Epoch: [8][1870/9018]	Time 0.596 (0.614)	Data 0.001 (0.002)	Loss 2.6188 (2.6170)	Prec@1 37.500 (36.538)	Prec@5 64.000 (67.269)
Epoch: [8][1880/9018]	Time 0.601 (0.614)	Data 0.001 (0.002)	Loss 2.6811 (2.6177)	Prec@1 33.500 (36.521)	Prec@5 63.500 (67.251)
Epoch: [8][1890/9018]	Time 0.606 (0.614)	Data 0.001 (0.002)	Loss 2.6588 (2.6176)	Prec@1 37.000 (36.523)	Prec@5 66.000 (67.252)
Epoch: [8][1900/9018]	Time 0.601 (0.614)	Data 0.001 (0.002)	Loss 2.4292 (2.6172)	Prec@1 41.000 (36.531)	Prec@5 71.500 (67.260)
Epoch: [8][1910/9018]	Time 0.605 (0.614)	Data 0.001 (0.002)	Loss 2.5469 (2.6171)	Prec@1 41.000 (36.543)	Prec@5 68.500 (67.264)
Epoch: [8][1920/9018]	Time 0.593 (0.614)	Data 0.001 (0.002)	Loss 2.6890 (2.6175)	Prec@1 37.500 (36.540)	Prec@5 66.500 (67.256)
Epoch: [8][1930/9018]	Time 0.601 (0.614)	Data 0.001 (0.002)	Loss 2.7808 (2.6177)	Prec@1 32.000 (36.540)	Prec@5 64.500 (67.249)
Epoch: [8][1940/9018]	Time 0.593 (0.614)	Data 0.001 (0.002)	Loss 2.5462 (2.6179)	Prec@1 37.000 (36.537)	Prec@5 66.500 (67.245)
Epoch: [8][1950/9018]	Time 0.715 (0.614)	Data 0.001 (0.002)	Loss 2.3495 (2.6175)	Prec@1 40.000 (36.544)	Prec@5 72.500 (67.250)
Epoch: [8][1960/9018]	Time 0.602 (0.614)	Data 0.001 (0.002)	Loss 2.5492 (2.6175)	Prec@1 38.500 (36.542)	Prec@5 70.500 (67.256)
Epoch: [8][1970/9018]	Time 0.599 (0.614)	Data 0.001 (0.002)	Loss 2.4613 (2.6174)	Prec@1 41.500 (36.543)	Prec@5 74.000 (67.254)
Epoch: [8][1980/9018]	Time 0.597 (0.614)	Data 0.001 (0.002)	Loss 2.5753 (2.6171)	Prec@1 40.000 (36.553)	Prec@5 67.500 (67.257)
Epoch: [8][1990/9018]	Time 0.597 (0.614)	Data 0.001 (0.002)	Loss 2.4394 (2.6170)	Prec@1 40.000 (36.556)	Prec@5 70.000 (67.262)
Epoch: [8][2000/9018]	Time 0.711 (0.614)	Data 0.001 (0.002)	Loss 2.7950 (2.6168)	Prec@1 34.000 (36.564)	Prec@5 66.000 (67.268)
Epoch: [8][2010/9018]	Time 0.599 (0.614)	Data 0.001 (0.002)	Loss 2.5659 (2.6168)	Prec@1 39.000 (36.562)	Prec@5 68.500 (67.267)
Epoch: [8][2020/9018]	Time 0.607 (0.614)	Data 0.001 (0.002)	Loss 2.6374 (2.6166)	Prec@1 34.500 (36.563)	Prec@5 68.000 (67.269)
Epoch: [8][2030/9018]	Time 0.602 (0.614)	Data 0.001 (0.002)	Loss 2.5282 (2.6162)	Prec@1 37.500 (36.570)	Prec@5 69.500 (67.278)
Epoch: [8][2040/9018]	Time 0.595 (0.614)	Data 0.001 (0.002)	Loss 2.7604 (2.6160)	Prec@1 33.500 (36.573)	Prec@5 65.000 (67.286)
Epoch: [8][2050/9018]	Time 0.607 (0.614)	Data 0.001 (0.002)	Loss 2.8970 (2.6161)	Prec@1 31.000 (36.565)	Prec@5 63.000 (67.283)
Epoch: [8][2060/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.7560 (2.6166)	Prec@1 34.000 (36.556)	Prec@5 61.500 (67.273)
Epoch: [8][2070/9018]	Time 0.597 (0.614)	Data 0.001 (0.002)	Loss 2.5734 (2.6169)	Prec@1 33.500 (36.550)	Prec@5 69.000 (67.268)
Epoch: [8][2080/9018]	Time 0.604 (0.613)	Data 0.001 (0.002)	Loss 2.4079 (2.6166)	Prec@1 36.000 (36.558)	Prec@5 74.000 (67.276)
Epoch: [8][2090/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.6936 (2.6164)	Prec@1 36.500 (36.565)	Prec@5 66.000 (67.274)
Epoch: [8][2100/9018]	Time 0.596 (0.613)	Data 0.001 (0.002)	Loss 2.3366 (2.6161)	Prec@1 39.500 (36.564)	Prec@5 71.000 (67.280)
Epoch: [8][2110/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.5889 (2.6162)	Prec@1 37.500 (36.562)	Prec@5 66.500 (67.278)
Epoch: [8][2120/9018]	Time 0.596 (0.613)	Data 0.001 (0.002)	Loss 2.5738 (2.6161)	Prec@1 34.500 (36.564)	Prec@5 67.500 (67.281)
Epoch: [8][2130/9018]	Time 0.607 (0.613)	Data 0.001 (0.002)	Loss 2.5113 (2.6159)	Prec@1 41.000 (36.572)	Prec@5 68.500 (67.283)
Epoch: [8][2140/9018]	Time 0.599 (0.613)	Data 0.001 (0.002)	Loss 2.5512 (2.6158)	Prec@1 38.500 (36.577)	Prec@5 70.500 (67.289)
Epoch: [8][2150/9018]	Time 0.597 (0.613)	Data 0.001 (0.002)	Loss 2.7789 (2.6155)	Prec@1 33.500 (36.580)	Prec@5 63.500 (67.295)
Epoch: [8][2160/9018]	Time 0.595 (0.613)	Data 0.001 (0.002)	Loss 2.7043 (2.6155)	Prec@1 38.500 (36.584)	Prec@5 65.000 (67.297)
Epoch: [8][2170/9018]	Time 0.596 (0.613)	Data 0.001 (0.002)	Loss 2.6235 (2.6154)	Prec@1 38.000 (36.587)	Prec@5 65.500 (67.298)
Epoch: [8][2180/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 2.6838 (2.6155)	Prec@1 34.000 (36.585)	Prec@5 64.500 (67.291)
Epoch: [8][2190/9018]	Time 0.604 (0.613)	Data 0.001 (0.002)	Loss 2.4480 (2.6155)	Prec@1 41.500 (36.583)	Prec@5 67.000 (67.299)
Epoch: [8][2200/9018]	Time 0.607 (0.613)	Data 0.001 (0.002)	Loss 2.7664 (2.6158)	Prec@1 33.500 (36.574)	Prec@5 63.500 (67.290)
Epoch: [8][2210/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 2.6900 (2.6160)	Prec@1 36.000 (36.565)	Prec@5 67.000 (67.290)
Epoch: [8][2220/9018]	Time 0.599 (0.613)	Data 0.001 (0.002)	Loss 2.6569 (2.6161)	Prec@1 35.500 (36.566)	Prec@5 66.500 (67.292)
Epoch: [8][2230/9018]	Time 0.602 (0.613)	Data 0.001 (0.002)	Loss 2.7037 (2.6165)	Prec@1 35.500 (36.559)	Prec@5 65.000 (67.280)
Epoch: [8][2240/9018]	Time 0.596 (0.613)	Data 0.001 (0.002)	Loss 2.7124 (2.6167)	Prec@1 38.500 (36.559)	Prec@5 64.000 (67.275)
Epoch: [8][2250/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 2.6338 (2.6167)	Prec@1 36.000 (36.564)	Prec@5 68.500 (67.274)
Epoch: [8][2260/9018]	Time 0.598 (0.613)	Data 0.001 (0.002)	Loss 2.7480 (2.6167)	Prec@1 35.000 (36.565)	Prec@5 67.500 (67.273)
Epoch: [8][2270/9018]	Time 0.595 (0.613)	Data 0.001 (0.002)	Loss 2.7289 (2.6166)	Prec@1 33.500 (36.568)	Prec@5 63.500 (67.275)
Epoch: [8][2280/9018]	Time 0.739 (0.613)	Data 0.001 (0.002)	Loss 2.5800 (2.6165)	Prec@1 36.000 (36.569)	Prec@5 66.500 (67.274)
Epoch: [8][2290/9018]	Time 0.607 (0.613)	Data 0.001 (0.002)	Loss 2.3488 (2.6163)	Prec@1 37.500 (36.572)	Prec@5 76.500 (67.275)
Epoch: [8][2300/9018]	Time 0.594 (0.613)	Data 0.001 (0.002)	Loss 2.7142 (2.6163)	Prec@1 33.500 (36.573)	Prec@5 63.500 (67.276)
Epoch: [8][2310/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.5545 (2.6162)	Prec@1 36.500 (36.581)	Prec@5 68.000 (67.277)
Epoch: [8][2320/9018]	Time 0.603 (0.613)	Data 0.001 (0.002)	Loss 2.3454 (2.6160)	Prec@1 43.500 (36.583)	Prec@5 69.000 (67.278)
Epoch: [8][2330/9018]	Time 0.714 (0.613)	Data 0.001 (0.002)	Loss 2.5870 (2.6158)	Prec@1 38.000 (36.590)	Prec@5 67.500 (67.286)
Epoch: [8][2340/9018]	Time 0.605 (0.613)	Data 0.001 (0.002)	Loss 2.6611 (2.6159)	Prec@1 35.000 (36.587)	Prec@5 62.000 (67.285)
Epoch: [8][2350/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.3442 (2.6159)	Prec@1 41.500 (36.576)	Prec@5 70.500 (67.289)
Epoch: [8][2360/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.5624 (2.6158)	Prec@1 39.500 (36.573)	Prec@5 65.000 (67.289)
Epoch: [8][2370/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 2.6531 (2.6160)	Prec@1 34.500 (36.569)	Prec@5 69.000 (67.283)
Epoch: [8][2380/9018]	Time 0.605 (0.613)	Data 0.001 (0.002)	Loss 2.6432 (2.6164)	Prec@1 36.000 (36.565)	Prec@5 64.500 (67.278)
Epoch: [8][2390/9018]	Time 0.604 (0.613)	Data 0.001 (0.002)	Loss 2.6863 (2.6165)	Prec@1 34.000 (36.562)	Prec@5 64.500 (67.277)
Epoch: [8][2400/9018]	Time 0.620 (0.613)	Data 0.001 (0.002)	Loss 2.7757 (2.6168)	Prec@1 33.000 (36.555)	Prec@5 63.500 (67.271)
Epoch: [8][2410/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 2.5009 (2.6165)	Prec@1 39.000 (36.555)	Prec@5 70.000 (67.274)
Epoch: [8][2420/9018]	Time 0.599 (0.613)	Data 0.001 (0.002)	Loss 2.4163 (2.6163)	Prec@1 43.000 (36.560)	Prec@5 71.000 (67.277)
Epoch: [8][2430/9018]	Time 0.608 (0.613)	Data 0.001 (0.002)	Loss 2.6741 (2.6164)	Prec@1 40.500 (36.561)	Prec@5 63.500 (67.274)
Epoch: [8][2440/9018]	Time 0.595 (0.613)	Data 0.001 (0.002)	Loss 2.8002 (2.6164)	Prec@1 35.500 (36.559)	Prec@5 62.000 (67.274)
Epoch: [8][2450/9018]	Time 0.598 (0.613)	Data 0.001 (0.002)	Loss 2.4585 (2.6163)	Prec@1 41.000 (36.565)	Prec@5 71.000 (67.276)
Epoch: [8][2460/9018]	Time 0.604 (0.613)	Data 0.001 (0.002)	Loss 2.7243 (2.6165)	Prec@1 34.500 (36.560)	Prec@5 64.000 (67.269)
Epoch: [8][2470/9018]	Time 0.593 (0.613)	Data 0.001 (0.002)	Loss 2.5010 (2.6165)	Prec@1 36.000 (36.559)	Prec@5 69.500 (67.270)
Epoch: [8][2480/9018]	Time 0.609 (0.613)	Data 0.003 (0.002)	Loss 2.6463 (2.6164)	Prec@1 37.000 (36.554)	Prec@5 67.000 (67.271)
Epoch: [8][2490/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.7815 (2.6164)	Prec@1 37.000 (36.559)	Prec@5 65.500 (67.271)
Epoch: [8][2500/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.6022 (2.6166)	Prec@1 35.500 (36.560)	Prec@5 68.000 (67.274)
Epoch: [8][2510/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.5916 (2.6166)	Prec@1 35.000 (36.557)	Prec@5 65.500 (67.273)
Epoch: [8][2520/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.5344 (2.6166)	Prec@1 36.000 (36.557)	Prec@5 72.500 (67.274)
Epoch: [8][2530/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.6582 (2.6165)	Prec@1 36.500 (36.556)	Prec@5 68.500 (67.274)
Epoch: [8][2540/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.7867 (2.6165)	Prec@1 33.000 (36.555)	Prec@5 65.500 (67.274)
Epoch: [8][2550/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.4354 (2.6164)	Prec@1 42.500 (36.564)	Prec@5 70.500 (67.273)
Epoch: [8][2560/9018]	Time 0.591 (0.612)	Data 0.001 (0.002)	Loss 2.8812 (2.6167)	Prec@1 33.000 (36.561)	Prec@5 60.500 (67.265)
Epoch: [8][2570/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.5286 (2.6164)	Prec@1 39.500 (36.567)	Prec@5 65.000 (67.267)
Epoch: [8][2580/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6479 (2.6160)	Prec@1 37.000 (36.573)	Prec@5 69.000 (67.273)
Epoch: [8][2590/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.3432 (2.6159)	Prec@1 40.500 (36.573)	Prec@5 73.500 (67.276)
Epoch: [8][2600/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.3955 (2.6158)	Prec@1 40.000 (36.572)	Prec@5 73.500 (67.284)
Epoch: [8][2610/9018]	Time 0.729 (0.612)	Data 0.001 (0.002)	Loss 2.4353 (2.6154)	Prec@1 37.000 (36.576)	Prec@5 73.000 (67.294)
Epoch: [8][2620/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.5300 (2.6153)	Prec@1 37.500 (36.579)	Prec@5 70.500 (67.297)
Epoch: [8][2630/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.7688 (2.6155)	Prec@1 33.500 (36.571)	Prec@5 64.500 (67.288)
Epoch: [8][2640/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.6692 (2.6155)	Prec@1 34.000 (36.572)	Prec@5 66.000 (67.286)
Epoch: [8][2650/9018]	Time 0.603 (0.612)	Data 0.002 (0.002)	Loss 2.5413 (2.6157)	Prec@1 39.500 (36.569)	Prec@5 72.500 (67.280)
Epoch: [8][2660/9018]	Time 0.723 (0.612)	Data 0.001 (0.002)	Loss 2.3381 (2.6155)	Prec@1 41.500 (36.570)	Prec@5 70.500 (67.280)
Epoch: [8][2670/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.7186 (2.6156)	Prec@1 34.000 (36.568)	Prec@5 65.500 (67.276)
Epoch: [8][2680/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.7761 (2.6159)	Prec@1 34.500 (36.562)	Prec@5 64.000 (67.274)
Epoch: [8][2690/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.6247 (2.6161)	Prec@1 36.000 (36.553)	Prec@5 66.500 (67.271)
Epoch: [8][2700/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 2.5948 (2.6162)	Prec@1 36.000 (36.550)	Prec@5 69.000 (67.270)
Epoch: [8][2710/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.5913 (2.6163)	Prec@1 38.500 (36.555)	Prec@5 66.500 (67.270)
Epoch: [8][2720/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.6834 (2.6162)	Prec@1 38.500 (36.554)	Prec@5 65.500 (67.274)
Epoch: [8][2730/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.5193 (2.6163)	Prec@1 35.000 (36.550)	Prec@5 69.000 (67.275)
Epoch: [8][2740/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.6223 (2.6165)	Prec@1 35.000 (36.549)	Prec@5 66.000 (67.269)
Epoch: [8][2750/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.5160 (2.6164)	Prec@1 38.000 (36.553)	Prec@5 71.500 (67.275)
Epoch: [8][2760/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4908 (2.6164)	Prec@1 37.000 (36.549)	Prec@5 69.500 (67.277)
Epoch: [8][2770/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6228 (2.6166)	Prec@1 38.000 (36.549)	Prec@5 67.000 (67.278)
Epoch: [8][2780/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.7757 (2.6167)	Prec@1 34.500 (36.550)	Prec@5 63.000 (67.275)
Epoch: [8][2790/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6282 (2.6167)	Prec@1 33.500 (36.551)	Prec@5 66.000 (67.274)
Epoch: [8][2800/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6093 (2.6169)	Prec@1 32.500 (36.549)	Prec@5 71.500 (67.269)
Epoch: [8][2810/9018]	Time 0.591 (0.612)	Data 0.001 (0.002)	Loss 2.6433 (2.6169)	Prec@1 34.500 (36.545)	Prec@5 68.500 (67.266)
Epoch: [8][2820/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.8781 (2.6173)	Prec@1 34.500 (36.543)	Prec@5 59.500 (67.259)
Epoch: [8][2830/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.6899 (2.6173)	Prec@1 36.000 (36.550)	Prec@5 69.000 (67.261)
Epoch: [8][2840/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.5995 (2.6171)	Prec@1 40.000 (36.552)	Prec@5 67.000 (67.266)
Epoch: [8][2850/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.2907 (2.6169)	Prec@1 41.500 (36.551)	Prec@5 74.000 (67.270)
Epoch: [8][2860/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.4912 (2.6170)	Prec@1 33.500 (36.546)	Prec@5 68.000 (67.266)
Epoch: [8][2870/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.7127 (2.6169)	Prec@1 38.500 (36.549)	Prec@5 64.000 (67.268)
Epoch: [8][2880/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.4219 (2.6169)	Prec@1 40.500 (36.545)	Prec@5 68.500 (67.268)
Epoch: [8][2890/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6479 (2.6171)	Prec@1 38.000 (36.539)	Prec@5 69.000 (67.267)
Epoch: [8][2900/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.6274 (2.6171)	Prec@1 38.500 (36.544)	Prec@5 67.000 (67.267)
Epoch: [8][2910/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6960 (2.6170)	Prec@1 32.000 (36.544)	Prec@5 68.500 (67.270)
Epoch: [8][2920/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.7068 (2.6170)	Prec@1 38.500 (36.542)	Prec@5 64.500 (67.269)
Epoch: [8][2930/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.9106 (2.6171)	Prec@1 28.000 (36.540)	Prec@5 60.000 (67.268)
Epoch: [8][2940/9018]	Time 0.714 (0.612)	Data 0.001 (0.001)	Loss 2.5947 (2.6171)	Prec@1 34.000 (36.538)	Prec@5 65.500 (67.267)
Epoch: [8][2950/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.4864 (2.6171)	Prec@1 40.000 (36.541)	Prec@5 70.000 (67.266)
Epoch: [8][2960/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.7023 (2.6172)	Prec@1 37.500 (36.538)	Prec@5 66.000 (67.264)
Epoch: [8][2970/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.4468 (2.6172)	Prec@1 40.000 (36.539)	Prec@5 73.000 (67.263)
Epoch: [8][2980/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.7564 (2.6172)	Prec@1 34.000 (36.540)	Prec@5 63.000 (67.265)
Epoch: [8][2990/9018]	Time 0.712 (0.612)	Data 0.001 (0.001)	Loss 2.7013 (2.6172)	Prec@1 37.000 (36.541)	Prec@5 65.500 (67.264)
Epoch: [8][3000/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.7914 (2.6173)	Prec@1 33.000 (36.537)	Prec@5 66.000 (67.261)
Epoch: [8][3010/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 2.7041 (2.6176)	Prec@1 34.000 (36.525)	Prec@5 66.000 (67.256)
Epoch: [8][3020/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.5885 (2.6176)	Prec@1 37.000 (36.526)	Prec@5 70.500 (67.258)
Epoch: [8][3030/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.9557 (2.6175)	Prec@1 35.000 (36.528)	Prec@5 63.000 (67.261)
Epoch: [8][3040/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7495 (2.6177)	Prec@1 31.500 (36.523)	Prec@5 66.500 (67.263)
Epoch: [8][3050/9018]	Time 0.594 (0.612)	Data 0.003 (0.001)	Loss 2.6883 (2.6178)	Prec@1 33.500 (36.520)	Prec@5 67.500 (67.261)
Epoch: [8][3060/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.5699 (2.6179)	Prec@1 38.000 (36.519)	Prec@5 71.000 (67.258)
Epoch: [8][3070/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5146 (2.6177)	Prec@1 38.000 (36.525)	Prec@5 71.000 (67.261)
Epoch: [8][3080/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.4522 (2.6176)	Prec@1 37.000 (36.527)	Prec@5 72.000 (67.262)
Epoch: [8][3090/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7402 (2.6176)	Prec@1 34.500 (36.524)	Prec@5 62.000 (67.261)
Epoch: [8][3100/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.4270 (2.6174)	Prec@1 39.000 (36.527)	Prec@5 73.500 (67.268)
Epoch: [8][3110/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.5479 (2.6175)	Prec@1 39.000 (36.522)	Prec@5 67.500 (67.269)
Epoch: [8][3120/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.8812 (2.6175)	Prec@1 32.000 (36.522)	Prec@5 62.000 (67.269)
Epoch: [8][3130/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.6401 (2.6175)	Prec@1 34.000 (36.522)	Prec@5 68.500 (67.270)
Epoch: [8][3140/9018]	Time 0.590 (0.611)	Data 0.001 (0.001)	Loss 2.8436 (2.6177)	Prec@1 28.000 (36.515)	Prec@5 61.000 (67.262)
Epoch: [8][3150/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.5862 (2.6178)	Prec@1 36.500 (36.513)	Prec@5 66.500 (67.260)
Epoch: [8][3160/9018]	Time 0.613 (0.611)	Data 0.001 (0.001)	Loss 2.4345 (2.6177)	Prec@1 42.000 (36.515)	Prec@5 71.000 (67.259)
Epoch: [8][3170/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.7498 (2.6177)	Prec@1 34.500 (36.513)	Prec@5 64.000 (67.259)
Epoch: [8][3180/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.4582 (2.6176)	Prec@1 34.500 (36.510)	Prec@5 72.000 (67.260)
Epoch: [8][3190/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.6782 (2.6176)	Prec@1 32.000 (36.511)	Prec@5 69.000 (67.266)
Epoch: [8][3200/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 2.4991 (2.6174)	Prec@1 36.000 (36.512)	Prec@5 74.000 (67.270)
Epoch: [8][3210/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.5185 (2.6176)	Prec@1 39.500 (36.506)	Prec@5 70.000 (67.268)
Epoch: [8][3220/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.3735 (2.6174)	Prec@1 39.500 (36.511)	Prec@5 68.500 (67.272)
Epoch: [8][3230/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.7703 (2.6174)	Prec@1 33.000 (36.513)	Prec@5 62.500 (67.271)
Epoch: [8][3240/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.6803 (2.6173)	Prec@1 36.500 (36.515)	Prec@5 66.000 (67.271)
Epoch: [8][3250/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.7204 (2.6172)	Prec@1 34.000 (36.514)	Prec@5 66.000 (67.273)
Epoch: [8][3260/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.6855 (2.6174)	Prec@1 35.500 (36.508)	Prec@5 66.000 (67.273)
Epoch: [8][3270/9018]	Time 0.725 (0.611)	Data 0.001 (0.001)	Loss 2.8418 (2.6174)	Prec@1 33.500 (36.509)	Prec@5 64.000 (67.274)
Epoch: [8][3280/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.7232 (2.6174)	Prec@1 33.500 (36.511)	Prec@5 62.500 (67.273)
Epoch: [8][3290/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.7483 (2.6174)	Prec@1 30.500 (36.509)	Prec@5 66.000 (67.271)
Epoch: [8][3300/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.3503 (2.6172)	Prec@1 42.000 (36.512)	Prec@5 73.000 (67.276)
Epoch: [8][3310/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.8949 (2.6173)	Prec@1 32.000 (36.512)	Prec@5 63.000 (67.274)
Epoch: [8][3320/9018]	Time 0.717 (0.611)	Data 0.001 (0.001)	Loss 2.8024 (2.6173)	Prec@1 39.500 (36.511)	Prec@5 67.000 (67.274)
Epoch: [8][3330/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.4634 (2.6173)	Prec@1 43.000 (36.515)	Prec@5 66.000 (67.273)
Epoch: [8][3340/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.5568 (2.6174)	Prec@1 38.500 (36.515)	Prec@5 66.500 (67.270)
Epoch: [8][3350/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.4195 (2.6173)	Prec@1 46.500 (36.520)	Prec@5 71.500 (67.273)
Epoch: [8][3360/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.8488 (2.6173)	Prec@1 34.500 (36.519)	Prec@5 63.000 (67.276)
Epoch: [8][3370/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.6536 (2.6174)	Prec@1 33.000 (36.517)	Prec@5 65.500 (67.277)
Epoch: [8][3380/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.4795 (2.6174)	Prec@1 40.000 (36.519)	Prec@5 69.500 (67.280)
Epoch: [8][3390/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.7605 (2.6175)	Prec@1 32.000 (36.517)	Prec@5 63.000 (67.277)
Epoch: [8][3400/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.7912 (2.6175)	Prec@1 32.000 (36.515)	Prec@5 62.500 (67.274)
Epoch: [8][3410/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.6008 (2.6176)	Prec@1 35.500 (36.513)	Prec@5 70.500 (67.273)
Epoch: [8][3420/9018]	Time 0.613 (0.611)	Data 0.001 (0.001)	Loss 2.4039 (2.6174)	Prec@1 42.000 (36.519)	Prec@5 68.000 (67.276)
Epoch: [8][3430/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.2532 (2.6171)	Prec@1 38.000 (36.522)	Prec@5 75.000 (67.281)
Epoch: [8][3440/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 2.5572 (2.6169)	Prec@1 37.000 (36.528)	Prec@5 70.000 (67.285)
Epoch: [8][3450/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.6477 (2.6170)	Prec@1 38.000 (36.526)	Prec@5 63.000 (67.280)
Epoch: [8][3460/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.7392 (2.6171)	Prec@1 34.500 (36.528)	Prec@5 68.000 (67.280)
Epoch: [8][3470/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.6011 (2.6170)	Prec@1 38.000 (36.532)	Prec@5 67.500 (67.285)
Epoch: [8][3480/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.4117 (2.6169)	Prec@1 35.500 (36.530)	Prec@5 71.500 (67.284)
Epoch: [8][3490/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.7494 (2.6170)	Prec@1 36.000 (36.530)	Prec@5 67.000 (67.282)
Epoch: [8][3500/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.6531 (2.6170)	Prec@1 38.000 (36.527)	Prec@5 66.500 (67.279)
Epoch: [8][3510/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.3977 (2.6171)	Prec@1 40.000 (36.527)	Prec@5 74.000 (67.276)
Epoch: [8][3520/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.6294 (2.6170)	Prec@1 35.000 (36.526)	Prec@5 65.500 (67.279)
Epoch: [8][3530/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.2760 (2.6171)	Prec@1 42.500 (36.526)	Prec@5 74.000 (67.276)
Epoch: [8][3540/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.7006 (2.6172)	Prec@1 33.500 (36.522)	Prec@5 62.500 (67.274)
Epoch: [8][3550/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.6802 (2.6174)	Prec@1 36.500 (36.517)	Prec@5 66.500 (67.271)
Epoch: [8][3560/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.7390 (2.6175)	Prec@1 34.500 (36.519)	Prec@5 64.000 (67.269)
Epoch: [8][3570/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.6972 (2.6174)	Prec@1 38.000 (36.525)	Prec@5 64.500 (67.271)
Epoch: [8][3580/9018]	Time 0.613 (0.611)	Data 0.001 (0.001)	Loss 2.6055 (2.6174)	Prec@1 35.500 (36.522)	Prec@5 68.500 (67.272)
Epoch: [8][3590/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.4370 (2.6172)	Prec@1 39.000 (36.524)	Prec@5 69.500 (67.276)
Epoch: [8][3600/9018]	Time 0.723 (0.611)	Data 0.001 (0.001)	Loss 2.8466 (2.6171)	Prec@1 37.000 (36.525)	Prec@5 60.000 (67.276)
Epoch: [8][3610/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.5826 (2.6170)	Prec@1 43.000 (36.529)	Prec@5 63.500 (67.275)
Epoch: [8][3620/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.6509 (2.6173)	Prec@1 37.500 (36.525)	Prec@5 67.000 (67.271)
Epoch: [8][3630/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.7116 (2.6175)	Prec@1 34.000 (36.522)	Prec@5 62.000 (67.267)
Epoch: [8][3640/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.4750 (2.6174)	Prec@1 38.000 (36.527)	Prec@5 72.500 (67.271)
Epoch: [8][3650/9018]	Time 0.722 (0.611)	Data 0.001 (0.001)	Loss 2.5531 (2.6175)	Prec@1 38.000 (36.525)	Prec@5 65.500 (67.267)
Epoch: [8][3660/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.3114 (2.6175)	Prec@1 42.500 (36.530)	Prec@5 73.000 (67.265)
Epoch: [8][3670/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.5255 (2.6176)	Prec@1 39.000 (36.527)	Prec@5 66.000 (67.261)
Epoch: [8][3680/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.6364 (2.6175)	Prec@1 37.000 (36.529)	Prec@5 66.500 (67.261)
Epoch: [8][3690/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.6856 (2.6175)	Prec@1 34.000 (36.529)	Prec@5 66.000 (67.262)
Epoch: [8][3700/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.5326 (2.6174)	Prec@1 42.000 (36.529)	Prec@5 69.500 (67.265)
Epoch: [8][3710/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.6511 (2.6173)	Prec@1 35.500 (36.530)	Prec@5 68.500 (67.263)
Epoch: [8][3720/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.5400 (2.6174)	Prec@1 40.500 (36.531)	Prec@5 69.500 (67.261)
Epoch: [8][3730/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.4440 (2.6173)	Prec@1 39.000 (36.531)	Prec@5 70.000 (67.262)
Epoch: [8][3740/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.5810 (2.6174)	Prec@1 42.500 (36.532)	Prec@5 71.500 (67.262)
Epoch: [8][3750/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.5325 (2.6175)	Prec@1 37.500 (36.530)	Prec@5 68.000 (67.259)
Epoch: [8][3760/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.3342 (2.6175)	Prec@1 43.000 (36.532)	Prec@5 72.000 (67.262)
Epoch: [8][3770/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.7604 (2.6175)	Prec@1 32.500 (36.529)	Prec@5 66.000 (67.261)
Epoch: [8][3780/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.6538 (2.6176)	Prec@1 32.000 (36.527)	Prec@5 66.000 (67.259)
Epoch: [8][3790/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.7953 (2.6177)	Prec@1 28.000 (36.525)	Prec@5 66.500 (67.260)
Epoch: [8][3800/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.7971 (2.6177)	Prec@1 30.500 (36.522)	Prec@5 64.000 (67.260)
Epoch: [8][3810/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.4772 (2.6177)	Prec@1 35.000 (36.524)	Prec@5 71.500 (67.262)
Epoch: [8][3820/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.9756 (2.6180)	Prec@1 29.500 (36.519)	Prec@5 60.000 (67.254)
Epoch: [8][3830/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.6258 (2.6179)	Prec@1 37.000 (36.520)	Prec@5 64.000 (67.255)
Epoch: [8][3840/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.5106 (2.6179)	Prec@1 36.500 (36.518)	Prec@5 71.500 (67.253)
Epoch: [8][3850/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.5209 (2.6177)	Prec@1 40.000 (36.521)	Prec@5 70.500 (67.260)
Epoch: [8][3860/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.6439 (2.6175)	Prec@1 40.000 (36.524)	Prec@5 66.000 (67.260)
Epoch: [8][3870/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.7207 (2.6177)	Prec@1 35.000 (36.524)	Prec@5 63.000 (67.258)
Epoch: [8][3880/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.5791 (2.6177)	Prec@1 36.500 (36.521)	Prec@5 65.000 (67.256)
Epoch: [8][3890/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.7999 (2.6177)	Prec@1 37.500 (36.525)	Prec@5 66.000 (67.254)
Epoch: [8][3900/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.6256 (2.6176)	Prec@1 35.500 (36.525)	Prec@5 70.500 (67.256)
Epoch: [8][3910/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.6444 (2.6177)	Prec@1 38.000 (36.524)	Prec@5 63.500 (67.254)
Epoch: [8][3920/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.9087 (2.6177)	Prec@1 31.500 (36.525)	Prec@5 64.000 (67.253)
Epoch: [8][3930/9018]	Time 0.725 (0.611)	Data 0.001 (0.001)	Loss 2.7116 (2.6177)	Prec@1 35.500 (36.526)	Prec@5 67.000 (67.255)
Epoch: [8][3940/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.3720 (2.6175)	Prec@1 38.000 (36.527)	Prec@5 70.000 (67.257)
Epoch: [8][3950/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.7192 (2.6175)	Prec@1 33.000 (36.527)	Prec@5 65.000 (67.256)
Epoch: [8][3960/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.7951 (2.6175)	Prec@1 34.500 (36.529)	Prec@5 65.000 (67.256)
Epoch: [8][3970/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 2.4662 (2.6175)	Prec@1 41.500 (36.531)	Prec@5 70.000 (67.257)
Epoch: [8][3980/9018]	Time 0.715 (0.611)	Data 0.001 (0.001)	Loss 2.6124 (2.6175)	Prec@1 36.500 (36.530)	Prec@5 65.000 (67.252)
Epoch: [8][3990/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.7795 (2.6177)	Prec@1 34.000 (36.531)	Prec@5 61.500 (67.249)
Epoch: [8][4000/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 2.7744 (2.6176)	Prec@1 32.500 (36.532)	Prec@5 65.500 (67.250)
Epoch: [8][4010/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.6948 (2.6178)	Prec@1 36.000 (36.531)	Prec@5 62.000 (67.247)
Epoch: [8][4020/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.6983 (2.6178)	Prec@1 33.000 (36.529)	Prec@5 65.000 (67.243)
Epoch: [8][4030/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.4002 (2.6177)	Prec@1 39.000 (36.532)	Prec@5 65.500 (67.245)
Epoch: [8][4040/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.6357 (2.6176)	Prec@1 32.500 (36.532)	Prec@5 67.000 (67.246)
Epoch: [8][4050/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.5591 (2.6176)	Prec@1 37.000 (36.533)	Prec@5 68.500 (67.248)
Epoch: [8][4060/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.5536 (2.6175)	Prec@1 37.000 (36.536)	Prec@5 66.500 (67.247)
Epoch: [8][4070/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.7013 (2.6175)	Prec@1 38.500 (36.537)	Prec@5 66.500 (67.245)
Epoch: [8][4080/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.6728 (2.6175)	Prec@1 36.000 (36.539)	Prec@5 69.000 (67.246)
Epoch: [8][4090/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.6103 (2.6176)	Prec@1 34.500 (36.537)	Prec@5 65.000 (67.244)
Epoch: [8][4100/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.7043 (2.6175)	Prec@1 35.500 (36.542)	Prec@5 70.000 (67.247)
Epoch: [8][4110/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.7689 (2.6176)	Prec@1 38.000 (36.542)	Prec@5 65.500 (67.246)
Epoch: [8][4120/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.6498 (2.6175)	Prec@1 40.000 (36.542)	Prec@5 64.500 (67.249)
Epoch: [8][4130/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.6919 (2.6174)	Prec@1 34.500 (36.546)	Prec@5 70.500 (67.252)
Epoch: [8][4140/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.4554 (2.6176)	Prec@1 42.000 (36.545)	Prec@5 72.500 (67.250)
Epoch: [8][4150/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.8612 (2.6176)	Prec@1 33.500 (36.542)	Prec@5 62.500 (67.248)
Epoch: [8][4160/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.6906 (2.6177)	Prec@1 34.500 (36.542)	Prec@5 63.000 (67.247)
Epoch: [8][4170/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.5771 (2.6176)	Prec@1 38.500 (36.541)	Prec@5 68.000 (67.247)
Epoch: [8][4180/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.3814 (2.6176)	Prec@1 41.000 (36.540)	Prec@5 73.000 (67.247)
Epoch: [8][4190/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.5456 (2.6175)	Prec@1 36.500 (36.542)	Prec@5 68.500 (67.248)
Epoch: [8][4200/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.6010 (2.6176)	Prec@1 39.000 (36.541)	Prec@5 69.000 (67.246)
Epoch: [8][4210/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.6373 (2.6176)	Prec@1 35.000 (36.543)	Prec@5 67.500 (67.246)
Epoch: [8][4220/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.7155 (2.6177)	Prec@1 31.500 (36.541)	Prec@5 66.000 (67.249)
Epoch: [8][4230/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.6346 (2.6176)	Prec@1 37.000 (36.543)	Prec@5 64.500 (67.248)
Epoch: [8][4240/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.4002 (2.6174)	Prec@1 37.500 (36.544)	Prec@5 70.000 (67.249)
Epoch: [8][4250/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.7773 (2.6173)	Prec@1 34.500 (36.546)	Prec@5 61.500 (67.252)
Epoch: [8][4260/9018]	Time 0.728 (0.610)	Data 0.001 (0.001)	Loss 2.6792 (2.6174)	Prec@1 31.500 (36.540)	Prec@5 67.000 (67.249)
Epoch: [8][4270/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.6823 (2.6173)	Prec@1 33.500 (36.536)	Prec@5 66.000 (67.250)
Epoch: [8][4280/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.6342 (2.6172)	Prec@1 35.500 (36.537)	Prec@5 69.000 (67.250)
Epoch: [8][4290/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.7287 (2.6173)	Prec@1 32.000 (36.535)	Prec@5 63.500 (67.250)
Epoch: [8][4300/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.6772 (2.6173)	Prec@1 33.500 (36.536)	Prec@5 63.500 (67.252)
Epoch: [8][4310/9018]	Time 0.718 (0.610)	Data 0.001 (0.001)	Loss 2.7472 (2.6174)	Prec@1 32.000 (36.532)	Prec@5 63.500 (67.251)
Epoch: [8][4320/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.4183 (2.6174)	Prec@1 37.000 (36.533)	Prec@5 69.000 (67.248)
Epoch: [8][4330/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.4538 (2.6174)	Prec@1 39.500 (36.532)	Prec@5 72.000 (67.248)
Epoch: [8][4340/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.6371 (2.6172)	Prec@1 34.500 (36.537)	Prec@5 69.500 (67.252)
Epoch: [8][4350/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.7225 (2.6172)	Prec@1 36.000 (36.540)	Prec@5 64.000 (67.250)
Epoch: [8][4360/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.7026 (2.6172)	Prec@1 34.000 (36.537)	Prec@5 60.000 (67.247)
Epoch: [8][4370/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.6721 (2.6172)	Prec@1 34.000 (36.536)	Prec@5 64.000 (67.244)
Epoch: [8][4380/9018]	Time 0.615 (0.610)	Data 0.001 (0.001)	Loss 2.9373 (2.6174)	Prec@1 32.000 (36.534)	Prec@5 62.000 (67.243)
Epoch: [8][4390/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 2.4804 (2.6174)	Prec@1 34.500 (36.532)	Prec@5 71.500 (67.245)
Epoch: [8][4400/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.7218 (2.6173)	Prec@1 37.000 (36.529)	Prec@5 65.500 (67.248)
Epoch: [8][4410/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.7226 (2.6174)	Prec@1 36.500 (36.526)	Prec@5 67.000 (67.245)
Epoch: [8][4420/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.5520 (2.6175)	Prec@1 36.500 (36.526)	Prec@5 69.500 (67.242)
Epoch: [8][4430/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.5639 (2.6174)	Prec@1 43.000 (36.529)	Prec@5 66.000 (67.242)
Epoch: [8][4440/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.6310 (2.6174)	Prec@1 33.500 (36.530)	Prec@5 66.000 (67.244)
Epoch: [8][4450/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 3.0218 (2.6177)	Prec@1 27.500 (36.522)	Prec@5 60.500 (67.239)
Epoch: [8][4460/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.7129 (2.6176)	Prec@1 31.500 (36.522)	Prec@5 65.500 (67.241)
Epoch: [8][4470/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.5960 (2.6176)	Prec@1 38.500 (36.522)	Prec@5 66.000 (67.241)
Epoch: [8][4480/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 2.5110 (2.6175)	Prec@1 37.000 (36.524)	Prec@5 71.500 (67.243)
Epoch: [8][4490/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 2.6848 (2.6175)	Prec@1 33.000 (36.521)	Prec@5 60.000 (67.242)
Epoch: [8][4500/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.6618 (2.6174)	Prec@1 38.500 (36.523)	Prec@5 65.000 (67.244)
Epoch: [8][4510/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.6268 (2.6172)	Prec@1 35.500 (36.526)	Prec@5 64.000 (67.246)
Epoch: [8][4520/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.6961 (2.6172)	Prec@1 34.500 (36.528)	Prec@5 68.000 (67.248)
Epoch: [8][4530/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.6729 (2.6172)	Prec@1 35.000 (36.528)	Prec@5 62.500 (67.247)
Epoch: [8][4540/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.5631 (2.6172)	Prec@1 38.500 (36.526)	Prec@5 65.500 (67.248)
Epoch: [8][4550/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.6221 (2.6172)	Prec@1 33.000 (36.527)	Prec@5 64.000 (67.245)
Epoch: [8][4560/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.8410 (2.6174)	Prec@1 30.500 (36.526)	Prec@5 60.000 (67.242)
Epoch: [8][4570/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.5378 (2.6174)	Prec@1 36.500 (36.524)	Prec@5 70.500 (67.241)
Epoch: [8][4580/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.5281 (2.6175)	Prec@1 36.000 (36.520)	Prec@5 71.500 (67.238)
Epoch: [8][4590/9018]	Time 0.725 (0.610)	Data 0.001 (0.001)	Loss 2.4625 (2.6175)	Prec@1 40.000 (36.525)	Prec@5 69.000 (67.238)
Epoch: [8][4600/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.6959 (2.6174)	Prec@1 33.000 (36.525)	Prec@5 65.000 (67.238)
Epoch: [8][4610/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.4037 (2.6174)	Prec@1 41.000 (36.524)	Prec@5 71.500 (67.239)
Epoch: [8][4620/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.9628 (2.6175)	Prec@1 32.000 (36.522)	Prec@5 59.500 (67.236)
Epoch: [8][4630/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.6684 (2.6174)	Prec@1 36.000 (36.524)	Prec@5 65.500 (67.238)
Epoch: [8][4640/9018]	Time 0.724 (0.610)	Data 0.001 (0.001)	Loss 2.7618 (2.6175)	Prec@1 35.000 (36.522)	Prec@5 65.500 (67.240)
Epoch: [8][4650/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.6794 (2.6177)	Prec@1 34.500 (36.520)	Prec@5 66.000 (67.235)
Epoch: [8][4660/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.6274 (2.6176)	Prec@1 34.000 (36.521)	Prec@5 64.500 (67.235)
Epoch: [8][4670/9018]	Time 0.590 (0.610)	Data 0.001 (0.001)	Loss 2.3286 (2.6175)	Prec@1 45.500 (36.523)	Prec@5 74.000 (67.235)
Epoch: [8][4680/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.6331 (2.6176)	Prec@1 35.500 (36.522)	Prec@5 67.500 (67.234)
Epoch: [8][4690/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.5110 (2.6176)	Prec@1 39.500 (36.523)	Prec@5 68.500 (67.234)
Epoch: [8][4700/9018]	Time 0.609 (0.610)	Data 0.001 (0.001)	Loss 2.5455 (2.6176)	Prec@1 36.500 (36.523)	Prec@5 68.000 (67.232)
Epoch: [8][4710/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.6702 (2.6178)	Prec@1 34.000 (36.518)	Prec@5 65.500 (67.229)
Epoch: [8][4720/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.5090 (2.6178)	Prec@1 39.000 (36.517)	Prec@5 69.000 (67.227)
Epoch: [8][4730/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.4681 (2.6178)	Prec@1 34.500 (36.517)	Prec@5 72.000 (67.228)
Epoch: [8][4740/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.6403 (2.6179)	Prec@1 33.500 (36.516)	Prec@5 69.500 (67.226)
Epoch: [8][4750/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.7341 (2.6179)	Prec@1 42.500 (36.519)	Prec@5 64.500 (67.226)
Epoch: [8][4760/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.3546 (2.6179)	Prec@1 39.500 (36.519)	Prec@5 72.000 (67.228)
Epoch: [8][4770/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.4370 (2.6177)	Prec@1 36.500 (36.522)	Prec@5 68.000 (67.232)
Epoch: [8][4780/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.5272 (2.6176)	Prec@1 35.000 (36.524)	Prec@5 70.000 (67.232)
Epoch: [8][4790/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.6828 (2.6175)	Prec@1 38.000 (36.527)	Prec@5 64.500 (67.233)
Epoch: [8][4800/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.6806 (2.6177)	Prec@1 33.000 (36.523)	Prec@5 66.000 (67.231)
Epoch: [8][4810/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.6492 (2.6177)	Prec@1 41.000 (36.523)	Prec@5 66.500 (67.231)
Epoch: [8][4820/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.8471 (2.6178)	Prec@1 32.500 (36.523)	Prec@5 62.000 (67.229)
Epoch: [8][4830/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.6650 (2.6177)	Prec@1 36.000 (36.525)	Prec@5 68.500 (67.230)
Epoch: [8][4840/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.6309 (2.6178)	Prec@1 38.500 (36.525)	Prec@5 66.000 (67.228)
Epoch: [8][4850/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.5955 (2.6178)	Prec@1 37.000 (36.526)	Prec@5 68.500 (67.233)
Epoch: [8][4860/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.6987 (2.6179)	Prec@1 36.500 (36.524)	Prec@5 66.000 (67.230)
Epoch: [8][4870/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.6301 (2.6180)	Prec@1 35.000 (36.522)	Prec@5 65.000 (67.229)
Epoch: [8][4880/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.7791 (2.6180)	Prec@1 30.000 (36.520)	Prec@5 65.000 (67.230)
Epoch: [8][4890/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.9437 (2.6181)	Prec@1 28.000 (36.518)	Prec@5 61.000 (67.227)
Epoch: [8][4900/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.6588 (2.6181)	Prec@1 31.000 (36.519)	Prec@5 68.000 (67.230)
Epoch: [8][4910/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.5783 (2.6182)	Prec@1 33.000 (36.516)	Prec@5 65.500 (67.230)
Epoch: [8][4920/9018]	Time 0.720 (0.610)	Data 0.001 (0.001)	Loss 2.5248 (2.6182)	Prec@1 39.500 (36.515)	Prec@5 69.500 (67.230)
Epoch: [8][4930/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.5719 (2.6182)	Prec@1 38.000 (36.513)	Prec@5 67.500 (67.232)
Epoch: [8][4940/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.6491 (2.6181)	Prec@1 39.500 (36.515)	Prec@5 66.500 (67.231)
Epoch: [8][4950/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.6496 (2.6180)	Prec@1 36.000 (36.519)	Prec@5 69.500 (67.234)
Epoch: [8][4960/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.5263 (2.6179)	Prec@1 35.000 (36.521)	Prec@5 67.500 (67.237)
Epoch: [8][4970/9018]	Time 0.719 (0.610)	Data 0.001 (0.001)	Loss 2.4296 (2.6179)	Prec@1 39.000 (36.522)	Prec@5 71.500 (67.235)
Epoch: [8][4980/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 2.7699 (2.6178)	Prec@1 30.500 (36.524)	Prec@5 65.000 (67.238)
Epoch: [8][4990/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.6529 (2.6178)	Prec@1 34.000 (36.524)	Prec@5 66.500 (67.237)
Epoch: [8][5000/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 2.8155 (2.6176)	Prec@1 30.500 (36.529)	Prec@5 62.000 (67.242)
Epoch: [8][5010/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.2903 (2.6178)	Prec@1 42.000 (36.525)	Prec@5 72.500 (67.239)
Epoch: [8][5020/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.8591 (2.6178)	Prec@1 34.000 (36.523)	Prec@5 59.000 (67.238)
Epoch: [8][5030/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.4902 (2.6179)	Prec@1 40.500 (36.523)	Prec@5 69.000 (67.238)
Epoch: [8][5040/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.5762 (2.6177)	Prec@1 38.500 (36.526)	Prec@5 73.500 (67.243)
Epoch: [8][5050/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.4924 (2.6176)	Prec@1 43.000 (36.529)	Prec@5 66.000 (67.244)
Epoch: [8][5060/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.6944 (2.6177)	Prec@1 26.000 (36.526)	Prec@5 67.500 (67.242)
Epoch: [8][5070/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.7035 (2.6178)	Prec@1 36.000 (36.523)	Prec@5 64.500 (67.240)
Epoch: [8][5080/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.5354 (2.6177)	Prec@1 39.000 (36.526)	Prec@5 69.000 (67.242)
Epoch: [8][5090/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.8157 (2.6177)	Prec@1 34.500 (36.527)	Prec@5 65.500 (67.243)
Epoch: [8][5100/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.5905 (2.6177)	Prec@1 32.000 (36.527)	Prec@5 67.000 (67.243)
Epoch: [8][5110/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.5594 (2.6177)	Prec@1 34.000 (36.526)	Prec@5 65.500 (67.241)
Epoch: [8][5120/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.7640 (2.6178)	Prec@1 34.500 (36.524)	Prec@5 64.000 (67.239)
Epoch: [8][5130/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.6134 (2.6178)	Prec@1 29.500 (36.521)	Prec@5 68.500 (67.242)
Epoch: [8][5140/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.4400 (2.6178)	Prec@1 41.000 (36.520)	Prec@5 70.000 (67.240)
Epoch: [8][5150/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.4329 (2.6178)	Prec@1 43.000 (36.520)	Prec@5 75.000 (67.240)
Epoch: [8][5160/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.5192 (2.6180)	Prec@1 38.500 (36.516)	Prec@5 64.500 (67.236)
Epoch: [8][5170/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.6167 (2.6180)	Prec@1 33.500 (36.514)	Prec@5 70.000 (67.235)
Epoch: [8][5180/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.5698 (2.6179)	Prec@1 38.500 (36.516)	Prec@5 66.500 (67.234)
Epoch: [8][5190/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 2.6506 (2.6180)	Prec@1 34.000 (36.514)	Prec@5 67.500 (67.233)
Epoch: [8][5200/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.5028 (2.6179)	Prec@1 36.500 (36.514)	Prec@5 70.500 (67.235)
Epoch: [8][5210/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.6689 (2.6178)	Prec@1 29.500 (36.516)	Prec@5 68.000 (67.237)
Epoch: [8][5220/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.6700 (2.6178)	Prec@1 35.000 (36.518)	Prec@5 67.500 (67.235)
Epoch: [8][5230/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.5205 (2.6178)	Prec@1 39.500 (36.521)	Prec@5 67.500 (67.234)
Epoch: [8][5240/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.4857 (2.6177)	Prec@1 39.500 (36.522)	Prec@5 74.500 (67.237)
Epoch: [8][5250/9018]	Time 0.708 (0.610)	Data 0.001 (0.001)	Loss 2.5810 (2.6176)	Prec@1 33.500 (36.524)	Prec@5 70.500 (67.240)
Epoch: [8][5260/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.5770 (2.6175)	Prec@1 38.500 (36.527)	Prec@5 64.500 (67.242)
Epoch: [8][5270/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.3865 (2.6174)	Prec@1 43.000 (36.529)	Prec@5 70.000 (67.246)
Epoch: [8][5280/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.7360 (2.6175)	Prec@1 30.500 (36.527)	Prec@5 64.500 (67.246)
Epoch: [8][5290/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.5388 (2.6175)	Prec@1 39.000 (36.522)	Prec@5 65.000 (67.244)
Epoch: [8][5300/9018]	Time 0.726 (0.610)	Data 0.001 (0.001)	Loss 2.3901 (2.6175)	Prec@1 38.000 (36.522)	Prec@5 74.000 (67.245)
Epoch: [8][5310/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.7002 (2.6176)	Prec@1 35.000 (36.521)	Prec@5 63.500 (67.242)
Epoch: [8][5320/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.5769 (2.6174)	Prec@1 41.500 (36.526)	Prec@5 68.000 (67.244)
Epoch: [8][5330/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.3463 (2.6173)	Prec@1 43.500 (36.527)	Prec@5 69.500 (67.246)
Epoch: [8][5340/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.7834 (2.6174)	Prec@1 34.000 (36.526)	Prec@5 65.000 (67.241)
Epoch: [8][5350/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.4105 (2.6175)	Prec@1 44.500 (36.526)	Prec@5 71.500 (67.240)
Epoch: [8][5360/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.7452 (2.6175)	Prec@1 34.000 (36.528)	Prec@5 64.000 (67.241)
Epoch: [8][5370/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.4753 (2.6174)	Prec@1 35.000 (36.531)	Prec@5 69.500 (67.244)
Epoch: [8][5380/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.7064 (2.6174)	Prec@1 32.000 (36.529)	Prec@5 65.000 (67.244)
Epoch: [8][5390/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.6276 (2.6174)	Prec@1 40.000 (36.528)	Prec@5 68.000 (67.245)
Epoch: [8][5400/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.6287 (2.6175)	Prec@1 35.000 (36.527)	Prec@5 67.500 (67.245)
Epoch: [8][5410/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.5264 (2.6173)	Prec@1 36.000 (36.529)	Prec@5 68.500 (67.249)
Epoch: [8][5420/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.5752 (2.6173)	Prec@1 31.000 (36.528)	Prec@5 71.000 (67.248)
Epoch: [8][5430/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.7047 (2.6174)	Prec@1 35.500 (36.528)	Prec@5 62.500 (67.247)
Epoch: [8][5440/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.5507 (2.6174)	Prec@1 36.500 (36.528)	Prec@5 73.000 (67.248)
Epoch: [8][5450/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.5476 (2.6173)	Prec@1 39.500 (36.533)	Prec@5 68.500 (67.250)
Epoch: [8][5460/9018]	Time 0.609 (0.610)	Data 0.001 (0.001)	Loss 2.6941 (2.6173)	Prec@1 35.000 (36.536)	Prec@5 64.000 (67.250)
Epoch: [8][5470/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.4029 (2.6172)	Prec@1 37.500 (36.536)	Prec@5 70.000 (67.251)
Epoch: [8][5480/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.6513 (2.6173)	Prec@1 36.000 (36.533)	Prec@5 66.500 (67.250)
Epoch: [8][5490/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.7681 (2.6173)	Prec@1 32.500 (36.537)	Prec@5 63.000 (67.250)
Epoch: [8][5500/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.3205 (2.6172)	Prec@1 42.000 (36.537)	Prec@5 76.500 (67.254)
Epoch: [8][5510/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.7433 (2.6172)	Prec@1 34.000 (36.537)	Prec@5 64.000 (67.254)
Epoch: [8][5520/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.6896 (2.6172)	Prec@1 36.000 (36.536)	Prec@5 66.000 (67.255)
Epoch: [8][5530/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.9145 (2.6173)	Prec@1 33.500 (36.535)	Prec@5 60.000 (67.253)
Epoch: [8][5540/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.6605 (2.6173)	Prec@1 36.500 (36.536)	Prec@5 66.500 (67.254)
Epoch: [8][5550/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.4148 (2.6174)	Prec@1 41.000 (36.532)	Prec@5 74.500 (67.256)
Epoch: [8][5560/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.5773 (2.6174)	Prec@1 41.000 (36.531)	Prec@5 68.000 (67.255)
Epoch: [8][5570/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.5567 (2.6174)	Prec@1 40.500 (36.532)	Prec@5 64.000 (67.254)
Epoch: [8][5580/9018]	Time 0.716 (0.610)	Data 0.001 (0.001)	Loss 2.5360 (2.6174)	Prec@1 37.000 (36.534)	Prec@5 71.500 (67.254)
Epoch: [8][5590/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.5583 (2.6173)	Prec@1 35.000 (36.535)	Prec@5 71.000 (67.256)
Epoch: [8][5600/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.5720 (2.6174)	Prec@1 35.500 (36.533)	Prec@5 68.500 (67.256)
Epoch: [8][5610/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.5294 (2.6173)	Prec@1 41.000 (36.533)	Prec@5 72.000 (67.258)
Epoch: [8][5620/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.7997 (2.6174)	Prec@1 35.000 (36.530)	Prec@5 63.500 (67.256)
Epoch: [8][5630/9018]	Time 0.710 (0.609)	Data 0.001 (0.001)	Loss 2.7171 (2.6174)	Prec@1 37.500 (36.530)	Prec@5 65.000 (67.256)
Epoch: [8][5640/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 2.6131 (2.6175)	Prec@1 38.000 (36.530)	Prec@5 66.000 (67.256)
Epoch: [8][5650/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.7557 (2.6176)	Prec@1 37.000 (36.530)	Prec@5 64.000 (67.253)
Epoch: [8][5660/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.7412 (2.6176)	Prec@1 35.500 (36.532)	Prec@5 64.000 (67.248)
Epoch: [8][5670/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.6791 (2.6176)	Prec@1 32.000 (36.532)	Prec@5 67.000 (67.248)
Epoch: [8][5680/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.6186 (2.6176)	Prec@1 34.000 (36.532)	Prec@5 68.000 (67.248)
Epoch: [8][5690/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 2.7782 (2.6175)	Prec@1 38.000 (36.532)	Prec@5 63.000 (67.251)
Epoch: [8][5700/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.6453 (2.6174)	Prec@1 38.000 (36.534)	Prec@5 63.000 (67.251)
Epoch: [8][5710/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.6071 (2.6175)	Prec@1 31.000 (36.534)	Prec@5 68.000 (67.251)
Epoch: [8][5720/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.6681 (2.6176)	Prec@1 36.500 (36.532)	Prec@5 66.000 (67.249)
Epoch: [8][5730/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 2.5790 (2.6175)	Prec@1 42.500 (36.534)	Prec@5 67.000 (67.250)
Epoch: [8][5740/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.4442 (2.6175)	Prec@1 42.000 (36.535)	Prec@5 71.000 (67.252)
Epoch: [8][5750/9018]	Time 0.607 (0.609)	Data 0.001 (0.001)	Loss 2.5591 (2.6175)	Prec@1 34.000 (36.535)	Prec@5 66.000 (67.250)
Epoch: [8][5760/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.5862 (2.6176)	Prec@1 35.500 (36.532)	Prec@5 67.000 (67.248)
Epoch: [8][5770/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.6693 (2.6176)	Prec@1 35.500 (36.532)	Prec@5 63.500 (67.245)
Epoch: [8][5780/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.6748 (2.6176)	Prec@1 38.500 (36.534)	Prec@5 65.000 (67.243)
Epoch: [8][5790/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 2.7435 (2.6176)	Prec@1 35.500 (36.536)	Prec@5 66.000 (67.245)
Epoch: [8][5800/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.4391 (2.6176)	Prec@1 42.000 (36.535)	Prec@5 69.500 (67.244)
Epoch: [8][5810/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.7325 (2.6177)	Prec@1 34.000 (36.534)	Prec@5 64.500 (67.243)
Epoch: [8][5820/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 2.8055 (2.6176)	Prec@1 34.000 (36.536)	Prec@5 60.500 (67.244)
Epoch: [8][5830/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 2.4854 (2.6177)	Prec@1 39.500 (36.535)	Prec@5 66.500 (67.243)
Epoch: [8][5840/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.6997 (2.6176)	Prec@1 30.500 (36.534)	Prec@5 66.500 (67.247)
Epoch: [8][5850/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.7412 (2.6176)	Prec@1 34.000 (36.536)	Prec@5 62.000 (67.245)
Epoch: [8][5860/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.4905 (2.6175)	Prec@1 33.500 (36.539)	Prec@5 69.500 (67.246)
Epoch: [8][5870/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 2.5614 (2.6175)	Prec@1 36.000 (36.539)	Prec@5 66.500 (67.245)
Epoch: [8][5880/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.3208 (2.6174)	Prec@1 42.500 (36.539)	Prec@5 73.000 (67.247)
Epoch: [8][5890/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.3026 (2.6173)	Prec@1 43.000 (36.544)	Prec@5 74.500 (67.249)
Epoch: [8][5900/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.6071 (2.6173)	Prec@1 34.000 (36.544)	Prec@5 66.000 (67.249)
Epoch: [8][5910/9018]	Time 0.730 (0.609)	Data 0.001 (0.001)	Loss 2.4228 (2.6172)	Prec@1 37.500 (36.543)	Prec@5 72.500 (67.251)
Epoch: [8][5920/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 2.5235 (2.6172)	Prec@1 39.000 (36.543)	Prec@5 69.500 (67.253)
Epoch: [8][5930/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 2.4344 (2.6172)	Prec@1 45.000 (36.543)	Prec@5 70.500 (67.252)
Epoch: [8][5940/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 2.4941 (2.6173)	Prec@1 35.500 (36.539)	Prec@5 71.500 (67.250)
Epoch: [8][5950/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 2.5967 (2.6173)	Prec@1 35.500 (36.539)	Prec@5 72.000 (67.253)
Epoch: [8][5960/9018]	Time 0.721 (0.609)	Data 0.001 (0.001)	Loss 2.6054 (2.6172)	Prec@1 39.000 (36.539)	Prec@5 67.000 (67.257)
Epoch: [8][5970/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.8067 (2.6172)	Prec@1 34.500 (36.539)	Prec@5 65.500 (67.254)
Epoch: [8][5980/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 2.4643 (2.6172)	Prec@1 40.500 (36.538)	Prec@5 70.000 (67.255)
Epoch: [8][5990/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.7678 (2.6173)	Prec@1 32.000 (36.536)	Prec@5 67.000 (67.253)
Epoch: [8][6000/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.5280 (2.6173)	Prec@1 34.500 (36.536)	Prec@5 67.500 (67.253)
Epoch: [8][6010/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.5031 (2.6173)	Prec@1 36.000 (36.534)	Prec@5 69.000 (67.251)
Epoch: [8][6020/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.5686 (2.6173)	Prec@1 42.500 (36.535)	Prec@5 71.000 (67.251)
Epoch: [8][6030/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 2.7202 (2.6173)	Prec@1 38.000 (36.538)	Prec@5 67.000 (67.252)
Epoch: [8][6040/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.5809 (2.6173)	Prec@1 35.500 (36.538)	Prec@5 63.500 (67.252)
Epoch: [8][6050/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 2.7930 (2.6172)	Prec@1 38.000 (36.540)	Prec@5 64.000 (67.255)
Epoch: [8][6060/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.6348 (2.6172)	Prec@1 29.500 (36.539)	Prec@5 69.500 (67.254)
Epoch: [8][6070/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 2.5861 (2.6172)	Prec@1 38.500 (36.539)	Prec@5 68.000 (67.253)
Epoch: [8][6080/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.6744 (2.6172)	Prec@1 36.500 (36.539)	Prec@5 62.500 (67.252)
Epoch: [8][6090/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.4839 (2.6172)	Prec@1 32.000 (36.538)	Prec@5 73.000 (67.255)
Epoch: [8][6100/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.4151 (2.6171)	Prec@1 35.500 (36.539)	Prec@5 75.500 (67.258)
Epoch: [8][6110/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.5000 (2.6172)	Prec@1 39.000 (36.537)	Prec@5 71.500 (67.254)
Epoch: [8][6120/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.5875 (2.6172)	Prec@1 36.500 (36.537)	Prec@5 65.000 (67.254)
Epoch: [8][6130/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.7111 (2.6173)	Prec@1 34.500 (36.537)	Prec@5 63.500 (67.251)
Epoch: [8][6140/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.5415 (2.6172)	Prec@1 38.000 (36.536)	Prec@5 67.500 (67.251)
Epoch: [8][6150/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.5392 (2.6171)	Prec@1 36.000 (36.538)	Prec@5 69.500 (67.254)
Epoch: [8][6160/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.6007 (2.6170)	Prec@1 34.500 (36.540)	Prec@5 64.500 (67.256)
Epoch: [8][6170/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 2.5470 (2.6171)	Prec@1 33.500 (36.537)	Prec@5 71.000 (67.254)
Epoch: [8][6180/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.6253 (2.6170)	Prec@1 31.500 (36.536)	Prec@5 70.500 (67.256)
Epoch: [8][6190/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.7178 (2.6170)	Prec@1 37.500 (36.537)	Prec@5 64.500 (67.257)
Epoch: [8][6200/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.6253 (2.6171)	Prec@1 33.500 (36.535)	Prec@5 67.500 (67.255)
Epoch: [8][6210/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.6438 (2.6171)	Prec@1 40.000 (36.536)	Prec@5 63.500 (67.256)
Epoch: [8][6220/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.5469 (2.6170)	Prec@1 35.000 (36.539)	Prec@5 67.500 (67.259)
Epoch: [8][6230/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.6882 (2.6169)	Prec@1 33.500 (36.540)	Prec@5 64.000 (67.261)
Epoch: [8][6240/9018]	Time 0.719 (0.609)	Data 0.001 (0.001)	Loss 2.3561 (2.6169)	Prec@1 41.500 (36.538)	Prec@5 75.000 (67.260)
Epoch: [8][6250/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.5655 (2.6170)	Prec@1 37.000 (36.535)	Prec@5 68.000 (67.262)
Epoch: [8][6260/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.5152 (2.6169)	Prec@1 43.000 (36.538)	Prec@5 70.500 (67.266)
Epoch: [8][6270/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 2.4021 (2.6167)	Prec@1 36.000 (36.541)	Prec@5 67.000 (67.268)
Epoch: [8][6280/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.7284 (2.6168)	Prec@1 34.000 (36.541)	Prec@5 66.000 (67.268)
Epoch: [8][6290/9018]	Time 0.689 (0.609)	Data 0.001 (0.001)	Loss 2.4816 (2.6167)	Prec@1 38.000 (36.543)	Prec@5 66.000 (67.268)
Epoch: [8][6300/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.6513 (2.6166)	Prec@1 37.000 (36.544)	Prec@5 64.500 (67.269)
Epoch: [8][6310/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 2.5398 (2.6167)	Prec@1 33.000 (36.542)	Prec@5 71.000 (67.267)
Epoch: [8][6320/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 2.7022 (2.6168)	Prec@1 36.500 (36.541)	Prec@5 68.000 (67.265)
Epoch: [8][6330/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.5121 (2.6167)	Prec@1 38.000 (36.541)	Prec@5 70.000 (67.265)
Epoch: [8][6340/9018]	Time 0.615 (0.609)	Data 0.001 (0.001)	Loss 2.4912 (2.6167)	Prec@1 38.000 (36.540)	Prec@5 67.000 (67.264)
Epoch: [8][6350/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.3061 (2.6167)	Prec@1 38.500 (36.540)	Prec@5 74.500 (67.264)
Epoch: [8][6360/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 2.4722 (2.6166)	Prec@1 40.000 (36.537)	Prec@5 71.000 (67.264)
Epoch: [8][6370/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.5626 (2.6166)	Prec@1 32.000 (36.537)	Prec@5 68.000 (67.265)
Epoch: [8][6380/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.6956 (2.6165)	Prec@1 32.500 (36.538)	Prec@5 68.000 (67.266)
Epoch: [8][6390/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.9665 (2.6165)	Prec@1 30.500 (36.539)	Prec@5 60.500 (67.266)
Epoch: [8][6400/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.5144 (2.6165)	Prec@1 36.500 (36.541)	Prec@5 68.000 (67.266)
Epoch: [8][6410/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.8098 (2.6166)	Prec@1 31.500 (36.538)	Prec@5 64.000 (67.263)
Epoch: [8][6420/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.5474 (2.6165)	Prec@1 38.500 (36.540)	Prec@5 67.500 (67.263)
Epoch: [8][6430/9018]	Time 0.614 (0.609)	Data 0.001 (0.001)	Loss 2.7006 (2.6166)	Prec@1 34.500 (36.539)	Prec@5 66.000 (67.260)
Epoch: [8][6440/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 2.5839 (2.6167)	Prec@1 30.500 (36.536)	Prec@5 69.000 (67.257)
Epoch: [8][6450/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.8949 (2.6168)	Prec@1 29.000 (36.532)	Prec@5 63.500 (67.255)
Epoch: [8][6460/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 2.6447 (2.6169)	Prec@1 34.500 (36.530)	Prec@5 64.500 (67.254)
Epoch: [8][6470/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.4993 (2.6169)	Prec@1 35.500 (36.529)	Prec@5 67.500 (67.252)
Epoch: [8][6480/9018]	Time 0.607 (0.609)	Data 0.001 (0.001)	Loss 2.5669 (2.6169)	Prec@1 37.500 (36.530)	Prec@5 68.500 (67.251)
Epoch: [8][6490/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.3819 (2.6168)	Prec@1 38.500 (36.533)	Prec@5 74.000 (67.255)
Epoch: [8][6500/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 2.6053 (2.6167)	Prec@1 37.500 (36.533)	Prec@5 70.500 (67.257)
Epoch: [8][6510/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.6073 (2.6169)	Prec@1 38.500 (36.529)	Prec@5 68.000 (67.255)
Epoch: [8][6520/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.5210 (2.6168)	Prec@1 38.500 (36.533)	Prec@5 66.000 (67.255)
Epoch: [8][6530/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 2.6029 (2.6169)	Prec@1 31.000 (36.528)	Prec@5 67.500 (67.252)
Epoch: [8][6540/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 2.7599 (2.6170)	Prec@1 35.500 (36.526)	Prec@5 62.500 (67.250)
Epoch: [8][6550/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.7650 (2.6170)	Prec@1 33.500 (36.525)	Prec@5 63.000 (67.251)
Epoch: [8][6560/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.2579 (2.6169)	Prec@1 40.500 (36.528)	Prec@5 77.000 (67.254)
Epoch: [8][6570/9018]	Time 0.725 (0.609)	Data 0.001 (0.001)	Loss 2.7234 (2.6169)	Prec@1 34.000 (36.527)	Prec@5 65.000 (67.252)
Epoch: [8][6580/9018]	Time 0.610 (0.609)	Data 0.001 (0.001)	Loss 2.7228 (2.6170)	Prec@1 30.500 (36.526)	Prec@5 68.000 (67.251)
Epoch: [8][6590/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.9122 (2.6171)	Prec@1 33.500 (36.524)	Prec@5 62.500 (67.251)
Epoch: [8][6600/9018]	Time 0.610 (0.609)	Data 0.001 (0.001)	Loss 2.4429 (2.6171)	Prec@1 40.000 (36.526)	Prec@5 70.500 (67.251)
Epoch: [8][6610/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.6847 (2.6171)	Prec@1 41.500 (36.526)	Prec@5 66.500 (67.250)
Epoch: [8][6620/9018]	Time 0.714 (0.609)	Data 0.001 (0.001)	Loss 2.6721 (2.6172)	Prec@1 36.500 (36.524)	Prec@5 64.500 (67.249)
Epoch: [8][6630/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.6633 (2.6172)	Prec@1 31.500 (36.522)	Prec@5 65.500 (67.249)
Epoch: [8][6640/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.4951 (2.6172)	Prec@1 36.500 (36.520)	Prec@5 68.500 (67.248)
Epoch: [8][6650/9018]	Time 0.590 (0.609)	Data 0.001 (0.001)	Loss 2.7509 (2.6172)	Prec@1 31.500 (36.518)	Prec@5 69.000 (67.250)
Epoch: [8][6660/9018]	Time 0.611 (0.609)	Data 0.001 (0.001)	Loss 2.4764 (2.6171)	Prec@1 46.000 (36.522)	Prec@5 70.500 (67.252)
Epoch: [8][6670/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.5820 (2.6171)	Prec@1 38.500 (36.523)	Prec@5 72.000 (67.253)
Epoch: [8][6680/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 2.5970 (2.6171)	Prec@1 33.000 (36.522)	Prec@5 67.500 (67.254)
Epoch: [8][6690/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.5259 (2.6170)	Prec@1 42.000 (36.525)	Prec@5 69.000 (67.253)
Epoch: [8][6700/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 2.6887 (2.6170)	Prec@1 34.500 (36.526)	Prec@5 66.500 (67.252)
Epoch: [8][6710/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.6526 (2.6170)	Prec@1 37.000 (36.526)	Prec@5 71.000 (67.251)
Epoch: [8][6720/9018]	Time 0.607 (0.609)	Data 0.001 (0.001)	Loss 2.9075 (2.6170)	Prec@1 29.000 (36.524)	Prec@5 65.500 (67.250)
Epoch: [8][6730/9018]	Time 0.611 (0.609)	Data 0.001 (0.001)	Loss 2.4270 (2.6171)	Prec@1 40.000 (36.523)	Prec@5 72.500 (67.250)
Epoch: [8][6740/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.5754 (2.6170)	Prec@1 37.000 (36.523)	Prec@5 71.000 (67.250)
Epoch: [8][6750/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.6626 (2.6170)	Prec@1 33.000 (36.525)	Prec@5 66.000 (67.251)
Epoch: [8][6760/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.6173 (2.6169)	Prec@1 36.000 (36.526)	Prec@5 66.000 (67.251)
Epoch: [8][6770/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.6260 (2.6168)	Prec@1 36.500 (36.530)	Prec@5 66.500 (67.253)
Epoch: [8][6780/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.6014 (2.6167)	Prec@1 36.500 (36.531)	Prec@5 66.500 (67.254)
Epoch: [8][6790/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.5880 (2.6167)	Prec@1 38.500 (36.530)	Prec@5 71.000 (67.257)
Epoch: [8][6800/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.5876 (2.6168)	Prec@1 35.000 (36.526)	Prec@5 70.500 (67.254)
Epoch: [8][6810/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.5621 (2.6168)	Prec@1 37.000 (36.526)	Prec@5 69.500 (67.255)
Epoch: [8][6820/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.6598 (2.6168)	Prec@1 40.000 (36.525)	Prec@5 67.000 (67.253)
Epoch: [8][6830/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.4157 (2.6168)	Prec@1 41.000 (36.528)	Prec@5 71.000 (67.253)
Epoch: [8][6840/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.5376 (2.6168)	Prec@1 35.500 (36.528)	Prec@5 71.500 (67.255)
Epoch: [8][6850/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.5183 (2.6167)	Prec@1 33.000 (36.528)	Prec@5 71.500 (67.256)
Epoch: [8][6860/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 2.8744 (2.6167)	Prec@1 32.500 (36.527)	Prec@5 61.500 (67.257)
Epoch: [8][6870/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.5596 (2.6167)	Prec@1 35.500 (36.524)	Prec@5 67.000 (67.258)
Epoch: [8][6880/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.7137 (2.6166)	Prec@1 36.000 (36.526)	Prec@5 66.500 (67.263)
Epoch: [8][6890/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.6364 (2.6166)	Prec@1 35.000 (36.524)	Prec@5 64.500 (67.262)
Epoch: [8][6900/9018]	Time 0.714 (0.609)	Data 0.001 (0.001)	Loss 2.5448 (2.6166)	Prec@1 34.000 (36.521)	Prec@5 67.000 (67.262)
Epoch: [8][6910/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.5672 (2.6165)	Prec@1 41.000 (36.522)	Prec@5 67.000 (67.263)
Epoch: [8][6920/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.7214 (2.6165)	Prec@1 31.500 (36.522)	Prec@5 68.000 (67.263)
Epoch: [8][6930/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.5375 (2.6166)	Prec@1 43.000 (36.519)	Prec@5 68.000 (67.262)
Epoch: [8][6940/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.6982 (2.6166)	Prec@1 34.500 (36.518)	Prec@5 65.000 (67.261)
Epoch: [8][6950/9018]	Time 0.710 (0.609)	Data 0.001 (0.001)	Loss 2.7212 (2.6166)	Prec@1 34.000 (36.521)	Prec@5 67.500 (67.261)
Epoch: [8][6960/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.5506 (2.6167)	Prec@1 39.000 (36.520)	Prec@5 68.500 (67.259)
Epoch: [8][6970/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.6355 (2.6168)	Prec@1 35.500 (36.520)	Prec@5 67.500 (67.256)
Epoch: [8][6980/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.7427 (2.6168)	Prec@1 34.500 (36.520)	Prec@5 60.500 (67.256)
Epoch: [8][6990/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.6127 (2.6168)	Prec@1 42.500 (36.520)	Prec@5 64.500 (67.255)
Epoch: [8][7000/9018]	Time 0.607 (0.609)	Data 0.001 (0.001)	Loss 2.5698 (2.6169)	Prec@1 36.500 (36.520)	Prec@5 65.000 (67.252)
Epoch: [8][7010/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.7097 (2.6170)	Prec@1 29.500 (36.518)	Prec@5 69.000 (67.251)
Epoch: [8][7020/9018]	Time 0.609 (0.609)	Data 0.001 (0.001)	Loss 2.7486 (2.6168)	Prec@1 36.000 (36.521)	Prec@5 62.500 (67.253)
Epoch: [8][7030/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.6029 (2.6168)	Prec@1 34.500 (36.520)	Prec@5 68.000 (67.252)
Epoch: [8][7040/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.5938 (2.6169)	Prec@1 37.000 (36.517)	Prec@5 67.500 (67.251)
Epoch: [8][7050/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 2.5495 (2.6169)	Prec@1 38.000 (36.519)	Prec@5 70.500 (67.249)
Epoch: [8][7060/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.5640 (2.6169)	Prec@1 38.000 (36.518)	Prec@5 63.500 (67.250)
Epoch: [8][7070/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.4018 (2.6168)	Prec@1 39.000 (36.519)	Prec@5 76.500 (67.253)
Epoch: [8][7080/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.5660 (2.6168)	Prec@1 36.000 (36.518)	Prec@5 70.000 (67.254)
Epoch: [8][7090/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.2876 (2.6168)	Prec@1 45.500 (36.517)	Prec@5 72.000 (67.254)
Epoch: [8][7100/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 2.9322 (2.6169)	Prec@1 32.000 (36.516)	Prec@5 61.000 (67.253)
Epoch: [8][7110/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.6467 (2.6169)	Prec@1 36.500 (36.517)	Prec@5 67.500 (67.253)
Epoch: [8][7120/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.4783 (2.6169)	Prec@1 35.500 (36.516)	Prec@5 70.000 (67.253)
Epoch: [8][7130/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.5542 (2.6169)	Prec@1 34.000 (36.519)	Prec@5 68.000 (67.254)
Epoch: [8][7140/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.8448 (2.6170)	Prec@1 30.500 (36.517)	Prec@5 66.000 (67.252)
Epoch: [8][7150/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.7961 (2.6170)	Prec@1 34.500 (36.518)	Prec@5 62.500 (67.252)
Epoch: [8][7160/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.3988 (2.6170)	Prec@1 37.500 (36.517)	Prec@5 69.500 (67.253)
Epoch: [8][7170/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 2.6909 (2.6170)	Prec@1 36.000 (36.520)	Prec@5 69.500 (67.253)
Epoch: [8][7180/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 2.6833 (2.6169)	Prec@1 35.500 (36.521)	Prec@5 66.500 (67.255)
Epoch: [8][7190/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.5303 (2.6169)	Prec@1 36.500 (36.521)	Prec@5 67.500 (67.257)
Epoch: [8][7200/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.6909 (2.6168)	Prec@1 35.500 (36.524)	Prec@5 64.000 (67.259)
Epoch: [8][7210/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.7059 (2.6167)	Prec@1 36.500 (36.524)	Prec@5 62.500 (67.260)
Epoch: [8][7220/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.6695 (2.6166)	Prec@1 33.000 (36.524)	Prec@5 65.500 (67.262)
Epoch: [8][7230/9018]	Time 0.696 (0.609)	Data 0.001 (0.001)	Loss 2.6725 (2.6167)	Prec@1 32.500 (36.524)	Prec@5 69.000 (67.262)
Epoch: [8][7240/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.6513 (2.6166)	Prec@1 36.000 (36.524)	Prec@5 67.000 (67.262)
Epoch: [8][7250/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.7948 (2.6167)	Prec@1 35.000 (36.524)	Prec@5 64.500 (67.260)
Epoch: [8][7260/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.5018 (2.6167)	Prec@1 36.000 (36.524)	Prec@5 70.000 (67.262)
Epoch: [8][7270/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.5011 (2.6167)	Prec@1 39.500 (36.526)	Prec@5 70.000 (67.264)
Epoch: [8][7280/9018]	Time 0.719 (0.609)	Data 0.001 (0.001)	Loss 2.8181 (2.6167)	Prec@1 34.000 (36.525)	Prec@5 61.000 (67.263)
Epoch: [8][7290/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.7614 (2.6167)	Prec@1 36.500 (36.526)	Prec@5 65.000 (67.263)
Epoch: [8][7300/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.7759 (2.6167)	Prec@1 32.500 (36.526)	Prec@5 63.000 (67.265)
Epoch: [8][7310/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.5713 (2.6167)	Prec@1 37.500 (36.523)	Prec@5 67.000 (67.265)
Epoch: [8][7320/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.7524 (2.6167)	Prec@1 28.000 (36.522)	Prec@5 67.000 (67.265)
Epoch: [8][7330/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.8227 (2.6167)	Prec@1 36.500 (36.522)	Prec@5 61.000 (67.264)
Epoch: [8][7340/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.7575 (2.6168)	Prec@1 34.000 (36.519)	Prec@5 64.000 (67.263)
Epoch: [8][7350/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.5204 (2.6168)	Prec@1 36.000 (36.521)	Prec@5 69.500 (67.265)
Epoch: [8][7360/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.6266 (2.6168)	Prec@1 39.000 (36.521)	Prec@5 69.500 (67.265)
Epoch: [8][7370/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.5930 (2.6168)	Prec@1 35.500 (36.522)	Prec@5 67.000 (67.264)
Epoch: [8][7380/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.6961 (2.6168)	Prec@1 37.500 (36.521)	Prec@5 67.500 (67.263)
Epoch: [8][7390/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 2.7089 (2.6169)	Prec@1 33.000 (36.519)	Prec@5 70.500 (67.263)
Epoch: [8][7400/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.5198 (2.6170)	Prec@1 38.000 (36.516)	Prec@5 66.500 (67.261)
Epoch: [8][7410/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.6171 (2.6171)	Prec@1 37.000 (36.514)	Prec@5 66.000 (67.259)
Epoch: [8][7420/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.6060 (2.6171)	Prec@1 36.000 (36.514)	Prec@5 65.500 (67.259)
Epoch: [8][7430/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.6619 (2.6172)	Prec@1 30.000 (36.514)	Prec@5 63.000 (67.258)
Epoch: [8][7440/9018]	Time 0.590 (0.609)	Data 0.001 (0.001)	Loss 2.5087 (2.6171)	Prec@1 38.500 (36.514)	Prec@5 69.000 (67.260)
Epoch: [8][7450/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.6339 (2.6172)	Prec@1 38.500 (36.515)	Prec@5 67.000 (67.260)
Epoch: [8][7460/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.5172 (2.6173)	Prec@1 34.500 (36.513)	Prec@5 70.500 (67.259)
Epoch: [8][7470/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 2.4838 (2.6171)	Prec@1 38.000 (36.515)	Prec@5 68.000 (67.263)
Epoch: [8][7480/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 2.8329 (2.6172)	Prec@1 31.500 (36.514)	Prec@5 67.000 (67.262)
Epoch: [8][7490/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 2.7483 (2.6173)	Prec@1 36.000 (36.513)	Prec@5 63.500 (67.260)
Epoch: [8][7500/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.6666 (2.6173)	Prec@1 35.500 (36.513)	Prec@5 67.500 (67.260)
Epoch: [8][7510/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.6514 (2.6174)	Prec@1 38.000 (36.511)	Prec@5 66.000 (67.259)
Epoch: [8][7520/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 2.7187 (2.6174)	Prec@1 32.500 (36.509)	Prec@5 66.500 (67.259)
Epoch: [8][7530/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.6332 (2.6174)	Prec@1 34.500 (36.508)	Prec@5 64.000 (67.258)
Epoch: [8][7540/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.5551 (2.6175)	Prec@1 39.500 (36.506)	Prec@5 69.000 (67.257)
Epoch: [8][7550/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.6639 (2.6175)	Prec@1 38.000 (36.504)	Prec@5 64.500 (67.255)
Epoch: [8][7560/9018]	Time 0.722 (0.609)	Data 0.001 (0.001)	Loss 2.8870 (2.6176)	Prec@1 35.500 (36.502)	Prec@5 63.500 (67.255)
Epoch: [8][7570/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.7263 (2.6176)	Prec@1 35.000 (36.501)	Prec@5 62.500 (67.253)
Epoch: [8][7580/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.5123 (2.6175)	Prec@1 37.000 (36.503)	Prec@5 67.500 (67.254)
Epoch: [8][7590/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 2.8633 (2.6175)	Prec@1 31.000 (36.504)	Prec@5 64.000 (67.256)
Epoch: [8][7600/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 2.8761 (2.6176)	Prec@1 32.500 (36.503)	Prec@5 61.000 (67.252)
Epoch: [8][7610/9018]	Time 0.721 (0.609)	Data 0.001 (0.001)	Loss 2.7486 (2.6176)	Prec@1 36.000 (36.502)	Prec@5 63.000 (67.253)
Epoch: [8][7620/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 2.4637 (2.6175)	Prec@1 35.000 (36.502)	Prec@5 71.000 (67.254)
Epoch: [8][7630/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.5299 (2.6176)	Prec@1 38.500 (36.502)	Prec@5 67.500 (67.253)
Epoch: [8][7640/9018]	Time 0.607 (0.609)	Data 0.001 (0.001)	Loss 2.5736 (2.6176)	Prec@1 38.000 (36.503)	Prec@5 69.000 (67.252)
Epoch: [8][7650/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.9981 (2.6175)	Prec@1 32.500 (36.502)	Prec@5 63.000 (67.252)
Epoch: [8][7660/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.6282 (2.6175)	Prec@1 32.000 (36.503)	Prec@5 67.000 (67.254)
Epoch: [8][7670/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.6022 (2.6174)	Prec@1 37.000 (36.505)	Prec@5 66.500 (67.257)
Epoch: [8][7680/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.7578 (2.6175)	Prec@1 31.500 (36.504)	Prec@5 63.500 (67.256)
Epoch: [8][7690/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.9234 (2.6175)	Prec@1 32.500 (36.505)	Prec@5 58.500 (67.255)
Epoch: [8][7700/9018]	Time 0.610 (0.609)	Data 0.001 (0.001)	Loss 2.3955 (2.6175)	Prec@1 40.500 (36.504)	Prec@5 70.500 (67.256)
Epoch: [8][7710/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.5927 (2.6175)	Prec@1 36.500 (36.504)	Prec@5 68.500 (67.257)
Epoch: [8][7720/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.6882 (2.6175)	Prec@1 36.000 (36.505)	Prec@5 62.500 (67.258)
Epoch: [8][7730/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.6791 (2.6175)	Prec@1 35.000 (36.505)	Prec@5 64.000 (67.258)
Epoch: [8][7740/9018]	Time 0.611 (0.609)	Data 0.001 (0.001)	Loss 2.7148 (2.6175)	Prec@1 36.000 (36.505)	Prec@5 67.000 (67.257)
Epoch: [8][7750/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.6985 (2.6176)	Prec@1 38.500 (36.506)	Prec@5 67.000 (67.256)
Epoch: [8][7760/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.5701 (2.6177)	Prec@1 36.500 (36.506)	Prec@5 69.500 (67.254)
Epoch: [8][7770/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 2.7003 (2.6177)	Prec@1 35.000 (36.506)	Prec@5 62.500 (67.254)
Epoch: [8][7780/9018]	Time 0.589 (0.609)	Data 0.001 (0.001)	Loss 2.7992 (2.6177)	Prec@1 35.500 (36.506)	Prec@5 67.500 (67.253)
Epoch: [8][7790/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.6208 (2.6177)	Prec@1 38.000 (36.504)	Prec@5 68.500 (67.252)
Epoch: [8][7800/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.5918 (2.6177)	Prec@1 33.000 (36.504)	Prec@5 64.500 (67.251)
Epoch: [8][7810/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.5334 (2.6176)	Prec@1 39.000 (36.506)	Prec@5 70.000 (67.254)
Epoch: [8][7820/9018]	Time 0.611 (0.609)	Data 0.001 (0.001)	Loss 2.4913 (2.6176)	Prec@1 41.500 (36.506)	Prec@5 71.500 (67.254)
Epoch: [8][7830/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.7919 (2.6177)	Prec@1 33.500 (36.505)	Prec@5 66.000 (67.252)
Epoch: [8][7840/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 2.7087 (2.6178)	Prec@1 35.000 (36.504)	Prec@5 66.500 (67.251)
Epoch: [8][7850/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.4360 (2.6178)	Prec@1 39.500 (36.503)	Prec@5 72.000 (67.251)
Epoch: [8][7860/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.7778 (2.6177)	Prec@1 40.500 (36.506)	Prec@5 65.500 (67.253)
Epoch: [8][7870/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.3980 (2.6176)	Prec@1 36.000 (36.508)	Prec@5 71.500 (67.254)
Epoch: [8][7880/9018]	Time 0.609 (0.609)	Data 0.001 (0.001)	Loss 2.5730 (2.6176)	Prec@1 38.000 (36.509)	Prec@5 67.000 (67.255)
Epoch: [8][7890/9018]	Time 0.747 (0.609)	Data 0.001 (0.001)	Loss 2.7480 (2.6175)	Prec@1 36.500 (36.510)	Prec@5 60.500 (67.254)
Epoch: [8][7900/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.7596 (2.6177)	Prec@1 33.000 (36.507)	Prec@5 63.500 (67.251)
Epoch: [8][7910/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.3878 (2.6176)	Prec@1 38.000 (36.507)	Prec@5 72.500 (67.253)
Epoch: [8][7920/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.6272 (2.6176)	Prec@1 36.000 (36.508)	Prec@5 63.500 (67.253)
Epoch: [8][7930/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.5589 (2.6176)	Prec@1 37.000 (36.508)	Prec@5 68.500 (67.254)
Epoch: [8][7940/9018]	Time 0.718 (0.609)	Data 0.001 (0.001)	Loss 2.6899 (2.6176)	Prec@1 37.000 (36.507)	Prec@5 69.000 (67.254)
Epoch: [8][7950/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 2.4451 (2.6175)	Prec@1 39.500 (36.508)	Prec@5 68.500 (67.255)
Epoch: [8][7960/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.6969 (2.6176)	Prec@1 33.500 (36.508)	Prec@5 63.500 (67.253)
Epoch: [8][7970/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.5284 (2.6175)	Prec@1 35.500 (36.507)	Prec@5 69.500 (67.255)
Epoch: [8][7980/9018]	Time 0.614 (0.609)	Data 0.001 (0.001)	Loss 2.4387 (2.6176)	Prec@1 40.500 (36.507)	Prec@5 65.500 (67.254)
Epoch: [8][7990/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.5626 (2.6175)	Prec@1 37.000 (36.509)	Prec@5 66.500 (67.255)
Epoch: [8][8000/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.4077 (2.6174)	Prec@1 41.500 (36.510)	Prec@5 71.000 (67.257)
Epoch: [8][8010/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.5700 (2.6175)	Prec@1 42.000 (36.509)	Prec@5 69.500 (67.256)
Epoch: [8][8020/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.7640 (2.6176)	Prec@1 34.500 (36.509)	Prec@5 61.000 (67.253)
Epoch: [8][8030/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.3513 (2.6175)	Prec@1 42.500 (36.511)	Prec@5 70.000 (67.254)
Epoch: [8][8040/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 2.4477 (2.6175)	Prec@1 43.000 (36.511)	Prec@5 70.500 (67.254)
Epoch: [8][8050/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.3577 (2.6175)	Prec@1 41.500 (36.511)	Prec@5 72.000 (67.254)
Epoch: [8][8060/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 2.7272 (2.6175)	Prec@1 36.000 (36.514)	Prec@5 65.500 (67.255)
Epoch: [8][8070/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.6598 (2.6175)	Prec@1 37.500 (36.513)	Prec@5 66.000 (67.252)
Epoch: [8][8080/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.5705 (2.6175)	Prec@1 36.000 (36.514)	Prec@5 64.500 (67.252)
Epoch: [8][8090/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.9516 (2.6175)	Prec@1 32.000 (36.515)	Prec@5 62.000 (67.253)
Epoch: [8][8100/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.6518 (2.6175)	Prec@1 36.500 (36.514)	Prec@5 67.500 (67.252)
Epoch: [8][8110/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.7246 (2.6176)	Prec@1 29.000 (36.511)	Prec@5 64.000 (67.251)
Epoch: [8][8120/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.7182 (2.6176)	Prec@1 35.500 (36.510)	Prec@5 65.000 (67.250)
Epoch: [8][8130/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.6946 (2.6177)	Prec@1 34.500 (36.509)	Prec@5 63.500 (67.249)
Epoch: [8][8140/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.5721 (2.6176)	Prec@1 36.000 (36.509)	Prec@5 68.000 (67.249)
Epoch: [8][8150/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.5389 (2.6177)	Prec@1 39.000 (36.507)	Prec@5 69.000 (67.247)
Epoch: [8][8160/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.6039 (2.6177)	Prec@1 35.000 (36.505)	Prec@5 68.500 (67.246)
Epoch: [8][8170/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.5352 (2.6177)	Prec@1 39.000 (36.506)	Prec@5 66.000 (67.247)
Epoch: [8][8180/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.6047 (2.6177)	Prec@1 37.000 (36.504)	Prec@5 66.000 (67.247)
Epoch: [8][8190/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.5134 (2.6177)	Prec@1 41.000 (36.504)	Prec@5 70.000 (67.247)
Epoch: [8][8200/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.5443 (2.6176)	Prec@1 38.000 (36.506)	Prec@5 69.000 (67.248)
Epoch: [8][8210/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 2.5779 (2.6176)	Prec@1 35.500 (36.507)	Prec@5 66.000 (67.249)
Epoch: [8][8220/9018]	Time 0.728 (0.609)	Data 0.001 (0.001)	Loss 2.6728 (2.6175)	Prec@1 37.500 (36.509)	Prec@5 66.000 (67.251)
Epoch: [8][8230/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.8197 (2.6176)	Prec@1 36.500 (36.509)	Prec@5 62.000 (67.249)
Epoch: [8][8240/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 2.4561 (2.6176)	Prec@1 42.500 (36.509)	Prec@5 69.500 (67.249)
Epoch: [8][8250/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.7283 (2.6176)	Prec@1 33.500 (36.510)	Prec@5 66.000 (67.249)
Epoch: [8][8260/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.7397 (2.6177)	Prec@1 30.500 (36.508)	Prec@5 67.500 (67.250)
Epoch: [8][8270/9018]	Time 0.612 (0.609)	Data 0.001 (0.001)	Loss 2.7468 (2.6177)	Prec@1 35.000 (36.508)	Prec@5 62.000 (67.248)
Epoch: [8][8280/9018]	Time 0.614 (0.609)	Data 0.001 (0.001)	Loss 2.6404 (2.6177)	Prec@1 36.000 (36.509)	Prec@5 71.000 (67.248)
Epoch: [8][8290/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 2.8311 (2.6178)	Prec@1 31.000 (36.508)	Prec@5 60.500 (67.245)
Epoch: [8][8300/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.5085 (2.6177)	Prec@1 40.500 (36.509)	Prec@5 68.500 (67.246)
Epoch: [8][8310/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.3560 (2.6177)	Prec@1 42.000 (36.508)	Prec@5 70.500 (67.245)
Epoch: [8][8320/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.5250 (2.6177)	Prec@1 40.500 (36.507)	Prec@5 67.500 (67.244)
Epoch: [8][8330/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.6824 (2.6177)	Prec@1 39.500 (36.508)	Prec@5 64.500 (67.245)
Epoch: [8][8340/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.5765 (2.6177)	Prec@1 40.500 (36.510)	Prec@5 68.500 (67.247)
Epoch: [8][8350/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.5396 (2.6177)	Prec@1 37.500 (36.511)	Prec@5 68.500 (67.248)
Epoch: [8][8360/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.7746 (2.6176)	Prec@1 28.000 (36.511)	Prec@5 61.500 (67.249)
Epoch: [8][8370/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.8006 (2.6177)	Prec@1 34.500 (36.510)	Prec@5 65.000 (67.246)
Epoch: [8][8380/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 2.5865 (2.6177)	Prec@1 36.500 (36.511)	Prec@5 70.000 (67.248)
Epoch: [8][8390/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.4843 (2.6177)	Prec@1 39.500 (36.510)	Prec@5 71.000 (67.249)
Epoch: [8][8400/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.8199 (2.6177)	Prec@1 30.000 (36.509)	Prec@5 62.000 (67.248)
Epoch: [8][8410/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 2.7160 (2.6177)	Prec@1 36.500 (36.510)	Prec@5 65.500 (67.249)
Epoch: [8][8420/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 2.6980 (2.6177)	Prec@1 38.500 (36.511)	Prec@5 66.000 (67.249)
Epoch: [8][8430/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.6514 (2.6178)	Prec@1 30.500 (36.512)	Prec@5 70.000 (67.251)
Epoch: [8][8440/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.6580 (2.6177)	Prec@1 29.500 (36.510)	Prec@5 68.000 (67.251)
Epoch: [8][8450/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 2.8239 (2.6178)	Prec@1 34.500 (36.507)	Prec@5 65.000 (67.250)
Epoch: [8][8460/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.6115 (2.6178)	Prec@1 37.500 (36.506)	Prec@5 64.500 (67.249)
Epoch: [8][8470/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 2.5527 (2.6178)	Prec@1 39.000 (36.507)	Prec@5 70.500 (67.248)
Epoch: [8][8480/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.7226 (2.6178)	Prec@1 33.000 (36.507)	Prec@5 66.000 (67.249)
Epoch: [8][8490/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.6340 (2.6177)	Prec@1 38.500 (36.509)	Prec@5 68.000 (67.251)
Epoch: [8][8500/9018]	Time 0.712 (0.609)	Data 0.001 (0.001)	Loss 2.5220 (2.6177)	Prec@1 41.000 (36.509)	Prec@5 71.500 (67.252)
Epoch: [8][8510/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.8113 (2.6179)	Prec@1 36.000 (36.507)	Prec@5 63.000 (67.250)
Epoch: [8][8520/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.5210 (2.6179)	Prec@1 38.500 (36.505)	Prec@5 70.000 (67.249)
Epoch: [8][8530/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.5931 (2.6180)	Prec@1 33.000 (36.505)	Prec@5 64.000 (67.249)
Epoch: [8][8540/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.4149 (2.6179)	Prec@1 39.500 (36.504)	Prec@5 71.000 (67.249)
Epoch: [8][8550/9018]	Time 0.733 (0.609)	Data 0.001 (0.001)	Loss 2.6612 (2.6179)	Prec@1 34.500 (36.503)	Prec@5 63.500 (67.250)
Epoch: [8][8560/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.5410 (2.6179)	Prec@1 38.000 (36.503)	Prec@5 69.500 (67.251)
Epoch: [8][8570/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 2.7150 (2.6179)	Prec@1 36.000 (36.503)	Prec@5 66.500 (67.252)
Epoch: [8][8580/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.7675 (2.6179)	Prec@1 30.000 (36.503)	Prec@5 65.000 (67.252)
Epoch: [8][8590/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.6427 (2.6179)	Prec@1 35.500 (36.504)	Prec@5 66.500 (67.252)
Epoch: [8][8600/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.4635 (2.6179)	Prec@1 42.000 (36.505)	Prec@5 70.500 (67.252)
Epoch: [8][8610/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 2.4516 (2.6180)	Prec@1 39.500 (36.503)	Prec@5 68.500 (67.251)
Epoch: [8][8620/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 2.7031 (2.6180)	Prec@1 36.500 (36.503)	Prec@5 67.500 (67.251)
Epoch: [8][8630/9018]	Time 0.610 (0.609)	Data 0.001 (0.001)	Loss 2.4551 (2.6179)	Prec@1 41.000 (36.504)	Prec@5 69.500 (67.251)
Epoch: [8][8640/9018]	Time 0.613 (0.609)	Data 0.001 (0.001)	Loss 2.3950 (2.6179)	Prec@1 43.000 (36.506)	Prec@5 69.500 (67.250)
Epoch: [8][8650/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.5810 (2.6179)	Prec@1 35.500 (36.505)	Prec@5 70.500 (67.250)
Epoch: [8][8660/9018]	Time 0.611 (0.609)	Data 0.001 (0.001)	Loss 2.7605 (2.6179)	Prec@1 34.500 (36.506)	Prec@5 64.500 (67.251)
Epoch: [8][8670/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 2.5876 (2.6179)	Prec@1 32.500 (36.506)	Prec@5 67.500 (67.252)
Epoch: [8][8680/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.4941 (2.6180)	Prec@1 38.500 (36.505)	Prec@5 69.500 (67.253)
Epoch: [8][8690/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 2.5047 (2.6180)	Prec@1 42.000 (36.506)	Prec@5 68.000 (67.252)
Epoch: [8][8700/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.5916 (2.6179)	Prec@1 34.500 (36.506)	Prec@5 69.000 (67.254)
Epoch: [8][8710/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.7626 (2.6180)	Prec@1 32.500 (36.504)	Prec@5 68.500 (67.252)
Epoch: [8][8720/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.5490 (2.6180)	Prec@1 36.500 (36.507)	Prec@5 69.000 (67.255)
Epoch: [8][8730/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.4725 (2.6180)	Prec@1 43.500 (36.508)	Prec@5 67.000 (67.253)
Epoch: [8][8740/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.5597 (2.6179)	Prec@1 41.000 (36.511)	Prec@5 68.000 (67.255)
Epoch: [8][8750/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.8858 (2.6179)	Prec@1 31.000 (36.512)	Prec@5 64.500 (67.255)
Epoch: [8][8760/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 2.5407 (2.6178)	Prec@1 36.000 (36.512)	Prec@5 70.500 (67.257)
Epoch: [8][8770/9018]	Time 0.611 (0.609)	Data 0.001 (0.001)	Loss 2.6323 (2.6178)	Prec@1 38.500 (36.512)	Prec@5 68.000 (67.256)
Epoch: [8][8780/9018]	Time 0.607 (0.609)	Data 0.001 (0.001)	Loss 2.6609 (2.6178)	Prec@1 40.500 (36.512)	Prec@5 67.000 (67.256)
Epoch: [8][8790/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.6831 (2.6179)	Prec@1 35.000 (36.511)	Prec@5 68.000 (67.256)
Epoch: [8][8800/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.8797 (2.6179)	Prec@1 30.500 (36.510)	Prec@5 63.500 (67.256)
Epoch: [8][8810/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.6165 (2.6178)	Prec@1 33.500 (36.511)	Prec@5 70.500 (67.258)
Epoch: [8][8820/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.7127 (2.6178)	Prec@1 32.500 (36.512)	Prec@5 69.500 (67.258)
Epoch: [8][8830/9018]	Time 0.764 (0.609)	Data 0.001 (0.001)	Loss 2.5761 (2.6178)	Prec@1 38.000 (36.511)	Prec@5 69.500 (67.257)
Epoch: [8][8840/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 2.7363 (2.6179)	Prec@1 31.000 (36.510)	Prec@5 61.500 (67.255)
Epoch: [8][8850/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.7146 (2.6179)	Prec@1 31.000 (36.510)	Prec@5 66.500 (67.257)
Epoch: [8][8860/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.5922 (2.6178)	Prec@1 39.000 (36.510)	Prec@5 68.000 (67.258)
Epoch: [8][8870/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 2.7014 (2.6178)	Prec@1 34.000 (36.510)	Prec@5 63.500 (67.256)
Epoch: [8][8880/9018]	Time 0.720 (0.609)	Data 0.001 (0.001)	Loss 2.6079 (2.6179)	Prec@1 35.000 (36.511)	Prec@5 65.000 (67.253)
Epoch: [8][8890/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 2.6381 (2.6179)	Prec@1 39.000 (36.510)	Prec@5 67.000 (67.252)
Epoch: [8][8900/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.4447 (2.6178)	Prec@1 43.000 (36.513)	Prec@5 70.500 (67.253)
Epoch: [8][8910/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 2.4737 (2.6179)	Prec@1 37.500 (36.511)	Prec@5 68.000 (67.252)
Epoch: [8][8920/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 2.5155 (2.6180)	Prec@1 41.000 (36.510)	Prec@5 67.000 (67.251)
Epoch: [8][8930/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 2.8059 (2.6180)	Prec@1 33.500 (36.510)	Prec@5 65.000 (67.250)
Epoch: [8][8940/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 2.4142 (2.6179)	Prec@1 38.500 (36.511)	Prec@5 73.500 (67.252)
Epoch: [8][8950/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 2.6739 (2.6179)	Prec@1 33.500 (36.510)	Prec@5 66.000 (67.252)
Epoch: [8][8960/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 2.9405 (2.6179)	Prec@1 33.000 (36.509)	Prec@5 59.000 (67.252)
Epoch: [8][8970/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 2.5323 (2.6179)	Prec@1 37.500 (36.510)	Prec@5 69.000 (67.254)
Epoch: [8][8980/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.6373 (2.6180)	Prec@1 40.500 (36.508)	Prec@5 66.000 (67.252)
Epoch: [8][8990/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 2.4528 (2.6179)	Prec@1 40.000 (36.510)	Prec@5 73.500 (67.254)
Epoch: [8][9000/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 2.4400 (2.6178)	Prec@1 40.500 (36.511)	Prec@5 71.500 (67.255)
Epoch: [8][9010/9018]	Time 0.605 (0.609)	Data 0.000 (0.001)	Loss 2.5018 (2.6178)	Prec@1 38.000 (36.511)	Prec@5 67.500 (67.255)
Test: [0/183]	Time 1.684 (1.684)	Loss 2.7562 (2.7562)	Prec@1 34.000 (34.000)	Prec@5 68.500 (68.500)
Test: [10/183]	Time 0.336 (0.340)	Loss 2.3833 (2.1993)	Prec@1 44.500 (42.182)	Prec@5 72.000 (75.591)
Test: [20/183]	Time 0.214 (0.273)	Loss 2.8143 (2.2011)	Prec@1 27.500 (43.286)	Prec@5 65.500 (75.119)
Test: [30/183]	Time 0.193 (0.250)	Loss 2.9545 (2.3178)	Prec@1 20.500 (40.226)	Prec@5 62.000 (73.468)
Test: [40/183]	Time 0.182 (0.235)	Loss 2.6362 (2.3241)	Prec@1 26.000 (40.610)	Prec@5 74.000 (72.756)
Test: [50/183]	Time 0.200 (0.229)	Loss 1.7748 (2.3158)	Prec@1 48.500 (41.304)	Prec@5 84.500 (72.931)
Test: [60/183]	Time 0.244 (0.224)	Loss 2.3078 (2.3858)	Prec@1 45.500 (39.697)	Prec@5 74.000 (71.639)
Test: [70/183]	Time 0.179 (0.219)	Loss 2.2166 (2.3650)	Prec@1 40.500 (39.993)	Prec@5 80.500 (72.183)
Test: [80/183]	Time 0.207 (0.217)	Loss 1.9952 (2.3386)	Prec@1 41.500 (40.691)	Prec@5 84.000 (72.741)
Test: [90/183]	Time 0.189 (0.214)	Loss 3.0858 (2.3508)	Prec@1 21.000 (40.352)	Prec@5 57.000 (72.665)
Test: [100/183]	Time 0.191 (0.212)	Loss 1.9251 (2.3463)	Prec@1 48.000 (40.604)	Prec@5 81.000 (72.807)
Test: [110/183]	Time 0.252 (0.211)	Loss 0.9873 (2.3524)	Prec@1 72.000 (40.464)	Prec@5 97.000 (72.649)
Test: [120/183]	Time 0.208 (0.210)	Loss 2.8906 (2.3491)	Prec@1 31.000 (40.430)	Prec@5 60.000 (72.698)
Test: [130/183]	Time 0.194 (0.209)	Loss 3.6761 (2.3478)	Prec@1 14.500 (40.500)	Prec@5 47.500 (72.824)
Test: [140/183]	Time 0.184 (0.208)	Loss 2.5760 (2.3449)	Prec@1 38.500 (40.635)	Prec@5 66.500 (72.968)
Test: [150/183]	Time 0.189 (0.207)	Loss 0.9194 (2.3466)	Prec@1 78.000 (40.662)	Prec@5 94.500 (72.921)
Test: [160/183]	Time 0.287 (0.207)	Loss 2.2066 (2.3449)	Prec@1 47.000 (40.910)	Prec@5 69.000 (72.839)
Test: [170/183]	Time 0.189 (0.206)	Loss 3.0902 (2.3523)	Prec@1 18.500 (40.637)	Prec@5 57.000 (72.667)
Test: [180/183]	Time 0.182 (0.205)	Loss 2.4543 (2.3501)	Prec@1 36.500 (40.732)	Prec@5 74.500 (72.746)
 * Prec@1 40.704 Prec@5 72.745
Epoch: [9][0/9018]	Time 2.937 (2.937)	Data 2.342 (2.342)	Loss 2.4727 (2.4727)	Prec@1 38.000 (38.000)	Prec@5 71.500 (71.500)
Epoch: [9][10/9018]	Time 0.742 (0.826)	Data 0.001 (0.214)	Loss 2.5694 (2.6018)	Prec@1 35.000 (37.045)	Prec@5 73.000 (67.591)
Epoch: [9][20/9018]	Time 0.599 (0.717)	Data 0.001 (0.112)	Loss 2.3893 (2.5810)	Prec@1 38.000 (36.762)	Prec@5 77.500 (68.238)
Epoch: [9][30/9018]	Time 0.590 (0.682)	Data 0.001 (0.076)	Loss 2.7434 (2.5971)	Prec@1 34.500 (36.774)	Prec@5 65.000 (67.774)
Epoch: [9][40/9018]	Time 0.599 (0.661)	Data 0.001 (0.058)	Loss 2.4057 (2.5911)	Prec@1 38.000 (36.866)	Prec@5 78.000 (67.915)
Epoch: [9][50/9018]	Time 0.607 (0.652)	Data 0.001 (0.047)	Loss 2.5404 (2.6029)	Prec@1 42.500 (36.686)	Prec@5 69.000 (67.873)
Epoch: [9][60/9018]	Time 0.601 (0.648)	Data 0.001 (0.039)	Loss 2.6602 (2.6063)	Prec@1 36.500 (36.770)	Prec@5 65.000 (67.787)
Epoch: [9][70/9018]	Time 0.606 (0.642)	Data 0.001 (0.034)	Loss 2.3024 (2.6053)	Prec@1 46.000 (36.923)	Prec@5 75.500 (67.768)
Epoch: [9][80/9018]	Time 0.622 (0.639)	Data 0.001 (0.030)	Loss 2.6335 (2.6069)	Prec@1 36.000 (36.969)	Prec@5 69.000 (67.654)
Epoch: [9][90/9018]	Time 0.619 (0.636)	Data 0.001 (0.027)	Loss 2.7407 (2.6079)	Prec@1 35.500 (37.033)	Prec@5 68.000 (67.516)
Epoch: [9][100/9018]	Time 0.612 (0.635)	Data 0.001 (0.024)	Loss 2.5589 (2.6062)	Prec@1 37.500 (37.054)	Prec@5 66.500 (67.535)
Epoch: [9][110/9018]	Time 0.612 (0.635)	Data 0.001 (0.022)	Loss 2.5389 (2.5990)	Prec@1 38.000 (37.221)	Prec@5 67.500 (67.635)
Epoch: [9][120/9018]	Time 0.592 (0.632)	Data 0.001 (0.020)	Loss 2.5251 (2.5965)	Prec@1 37.500 (37.298)	Prec@5 69.000 (67.649)
Epoch: [9][130/9018]	Time 0.609 (0.631)	Data 0.001 (0.019)	Loss 2.2317 (2.5935)	Prec@1 42.500 (37.260)	Prec@5 74.500 (67.676)
Epoch: [9][140/9018]	Time 0.604 (0.629)	Data 0.001 (0.017)	Loss 2.5421 (2.5906)	Prec@1 38.500 (37.440)	Prec@5 71.000 (67.720)
Epoch: [9][150/9018]	Time 0.629 (0.628)	Data 0.001 (0.016)	Loss 2.7184 (2.5902)	Prec@1 31.500 (37.401)	Prec@5 69.500 (67.785)
Epoch: [9][160/9018]	Time 0.610 (0.628)	Data 0.001 (0.015)	Loss 2.5621 (2.5890)	Prec@1 34.500 (37.466)	Prec@5 71.000 (67.829)
Epoch: [9][170/9018]	Time 0.601 (0.627)	Data 0.001 (0.014)	Loss 2.3843 (2.5893)	Prec@1 42.500 (37.404)	Prec@5 69.000 (67.784)
Epoch: [9][180/9018]	Time 0.607 (0.627)	Data 0.001 (0.014)	Loss 2.5377 (2.5878)	Prec@1 36.000 (37.412)	Prec@5 68.500 (67.859)
Epoch: [9][190/9018]	Time 0.623 (0.626)	Data 0.001 (0.013)	Loss 2.6930 (2.5896)	Prec@1 34.500 (37.382)	Prec@5 65.000 (67.777)
Epoch: [9][200/9018]	Time 0.600 (0.625)	Data 0.001 (0.012)	Loss 2.4608 (2.5912)	Prec@1 33.500 (37.264)	Prec@5 70.000 (67.776)
Epoch: [9][210/9018]	Time 0.603 (0.625)	Data 0.001 (0.012)	Loss 2.4148 (2.5945)	Prec@1 37.000 (37.194)	Prec@5 73.500 (67.687)
Epoch: [9][220/9018]	Time 0.595 (0.624)	Data 0.001 (0.011)	Loss 2.7470 (2.5972)	Prec@1 35.000 (37.122)	Prec@5 63.500 (67.613)
Epoch: [9][230/9018]	Time 0.592 (0.624)	Data 0.001 (0.011)	Loss 2.8409 (2.5998)	Prec@1 30.500 (37.052)	Prec@5 61.000 (67.526)
Epoch: [9][240/9018]	Time 0.621 (0.623)	Data 0.001 (0.010)	Loss 2.5267 (2.5997)	Prec@1 40.500 (37.056)	Prec@5 67.000 (67.527)
Epoch: [9][250/9018]	Time 0.604 (0.623)	Data 0.001 (0.010)	Loss 2.5872 (2.6014)	Prec@1 33.500 (37.080)	Prec@5 67.000 (67.524)
Epoch: [9][260/9018]	Time 0.596 (0.623)	Data 0.001 (0.010)	Loss 2.5848 (2.6013)	Prec@1 37.500 (37.071)	Prec@5 61.500 (67.527)
Epoch: [9][270/9018]	Time 0.604 (0.622)	Data 0.001 (0.009)	Loss 2.5410 (2.6002)	Prec@1 38.500 (37.103)	Prec@5 70.000 (67.570)
Epoch: [9][280/9018]	Time 0.597 (0.622)	Data 0.001 (0.009)	Loss 2.5200 (2.6000)	Prec@1 44.000 (37.101)	Prec@5 66.000 (67.528)
Epoch: [9][290/9018]	Time 0.747 (0.622)	Data 0.001 (0.009)	Loss 2.6740 (2.5978)	Prec@1 34.000 (37.143)	Prec@5 61.500 (67.572)
Epoch: [9][300/9018]	Time 0.605 (0.622)	Data 0.001 (0.009)	Loss 2.7910 (2.5983)	Prec@1 35.000 (37.115)	Prec@5 61.500 (67.593)
Epoch: [9][310/9018]	Time 0.618 (0.622)	Data 0.001 (0.008)	Loss 2.6588 (2.5990)	Prec@1 39.000 (37.090)	Prec@5 69.000 (67.569)
Epoch: [9][320/9018]	Time 0.608 (0.621)	Data 0.001 (0.008)	Loss 2.6329 (2.5972)	Prec@1 36.000 (37.136)	Prec@5 70.000 (67.640)
Epoch: [9][330/9018]	Time 0.603 (0.621)	Data 0.001 (0.008)	Loss 2.5100 (2.5941)	Prec@1 41.000 (37.180)	Prec@5 68.000 (67.705)
Epoch: [9][340/9018]	Time 0.748 (0.621)	Data 0.001 (0.008)	Loss 2.8289 (2.5960)	Prec@1 35.000 (37.177)	Prec@5 65.500 (67.683)
Epoch: [9][350/9018]	Time 0.605 (0.620)	Data 0.001 (0.007)	Loss 2.4914 (2.5936)	Prec@1 37.000 (37.226)	Prec@5 69.500 (67.689)
Epoch: [9][360/9018]	Time 0.605 (0.621)	Data 0.001 (0.007)	Loss 2.6826 (2.5938)	Prec@1 34.500 (37.216)	Prec@5 66.000 (67.680)
Epoch: [9][370/9018]	Time 0.620 (0.620)	Data 0.001 (0.007)	Loss 2.5149 (2.5934)	Prec@1 38.000 (37.189)	Prec@5 69.000 (67.686)
Epoch: [9][380/9018]	Time 0.625 (0.620)	Data 0.001 (0.007)	Loss 2.5325 (2.5927)	Prec@1 35.500 (37.177)	Prec@5 68.000 (67.722)
Epoch: [9][390/9018]	Time 0.608 (0.620)	Data 0.001 (0.007)	Loss 2.5671 (2.5933)	Prec@1 37.000 (37.153)	Prec@5 71.500 (67.705)
Epoch: [9][400/9018]	Time 0.615 (0.620)	Data 0.001 (0.007)	Loss 2.5169 (2.5920)	Prec@1 33.000 (37.186)	Prec@5 70.500 (67.727)
Epoch: [9][410/9018]	Time 0.596 (0.620)	Data 0.001 (0.006)	Loss 2.8386 (2.5933)	Prec@1 32.000 (37.147)	Prec@5 60.500 (67.704)
Epoch: [9][420/9018]	Time 0.619 (0.619)	Data 0.001 (0.006)	Loss 2.5237 (2.5937)	Prec@1 40.000 (37.145)	Prec@5 67.000 (67.713)
Epoch: [9][430/9018]	Time 0.595 (0.619)	Data 0.001 (0.006)	Loss 2.4584 (2.5943)	Prec@1 44.500 (37.152)	Prec@5 67.000 (67.690)
Epoch: [9][440/9018]	Time 0.633 (0.620)	Data 0.001 (0.006)	Loss 2.8655 (2.5966)	Prec@1 35.500 (37.116)	Prec@5 62.500 (67.644)
Epoch: [9][450/9018]	Time 0.612 (0.620)	Data 0.001 (0.006)	Loss 2.4002 (2.5957)	Prec@1 42.000 (37.133)	Prec@5 70.500 (67.657)
Epoch: [9][460/9018]	Time 0.600 (0.620)	Data 0.001 (0.006)	Loss 2.8553 (2.5970)	Prec@1 33.500 (37.098)	Prec@5 61.000 (67.612)
Epoch: [9][470/9018]	Time 0.625 (0.619)	Data 0.001 (0.006)	Loss 2.7884 (2.5977)	Prec@1 32.000 (37.083)	Prec@5 67.500 (67.586)
Epoch: [9][480/9018]	Time 0.612 (0.620)	Data 0.001 (0.006)	Loss 2.6857 (2.5977)	Prec@1 33.000 (37.069)	Prec@5 65.000 (67.616)
Epoch: [9][490/9018]	Time 0.610 (0.620)	Data 0.001 (0.006)	Loss 2.7018 (2.5973)	Prec@1 33.500 (37.097)	Prec@5 67.500 (67.658)
Epoch: [9][500/9018]	Time 0.607 (0.619)	Data 0.001 (0.005)	Loss 2.5781 (2.5973)	Prec@1 34.500 (37.073)	Prec@5 70.500 (67.662)
Epoch: [9][510/9018]	Time 0.600 (0.619)	Data 0.001 (0.005)	Loss 2.5028 (2.5982)	Prec@1 35.000 (37.054)	Prec@5 71.000 (67.646)
Epoch: [9][520/9018]	Time 0.608 (0.619)	Data 0.001 (0.005)	Loss 2.6538 (2.5978)	Prec@1 33.000 (37.037)	Prec@5 61.000 (67.655)
Epoch: [9][530/9018]	Time 0.638 (0.619)	Data 0.001 (0.005)	Loss 2.4918 (2.5957)	Prec@1 44.500 (37.102)	Prec@5 67.500 (67.690)
Epoch: [9][540/9018]	Time 0.624 (0.620)	Data 0.001 (0.005)	Loss 2.7724 (2.5958)	Prec@1 33.000 (37.104)	Prec@5 63.000 (67.691)
Epoch: [9][550/9018]	Time 0.597 (0.619)	Data 0.001 (0.005)	Loss 2.4353 (2.5960)	Prec@1 40.000 (37.103)	Prec@5 71.000 (67.679)
Epoch: [9][560/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 2.4671 (2.5951)	Prec@1 40.500 (37.125)	Prec@5 68.500 (67.681)
Epoch: [9][570/9018]	Time 0.615 (0.619)	Data 0.001 (0.005)	Loss 2.6833 (2.5960)	Prec@1 35.500 (37.108)	Prec@5 62.500 (67.660)
Epoch: [9][580/9018]	Time 0.613 (0.619)	Data 0.001 (0.005)	Loss 2.7724 (2.5974)	Prec@1 36.000 (37.088)	Prec@5 66.000 (67.633)
Epoch: [9][590/9018]	Time 0.627 (0.619)	Data 0.001 (0.005)	Loss 2.3513 (2.5965)	Prec@1 41.500 (37.071)	Prec@5 73.500 (67.682)
Epoch: [9][600/9018]	Time 0.621 (0.619)	Data 0.001 (0.005)	Loss 2.3869 (2.5963)	Prec@1 41.500 (37.080)	Prec@5 73.000 (67.674)
Epoch: [9][610/9018]	Time 0.594 (0.619)	Data 0.001 (0.005)	Loss 2.6693 (2.5955)	Prec@1 31.000 (37.076)	Prec@5 66.000 (67.682)
Epoch: [9][620/9018]	Time 0.708 (0.619)	Data 0.001 (0.005)	Loss 2.6337 (2.5962)	Prec@1 35.000 (37.042)	Prec@5 66.000 (67.663)
Epoch: [9][630/9018]	Time 0.619 (0.618)	Data 0.001 (0.004)	Loss 2.7904 (2.5959)	Prec@1 32.000 (37.034)	Prec@5 65.500 (67.666)
Epoch: [9][640/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 2.5993 (2.5967)	Prec@1 36.500 (37.012)	Prec@5 70.500 (67.665)
Epoch: [9][650/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 2.5673 (2.5966)	Prec@1 36.000 (37.010)	Prec@5 66.500 (67.654)
Epoch: [9][660/9018]	Time 0.622 (0.618)	Data 0.001 (0.004)	Loss 2.5878 (2.5964)	Prec@1 38.000 (37.015)	Prec@5 70.500 (67.652)
Epoch: [9][670/9018]	Time 0.737 (0.618)	Data 0.001 (0.004)	Loss 2.6735 (2.5964)	Prec@1 38.500 (37.024)	Prec@5 66.500 (67.653)
Epoch: [9][680/9018]	Time 0.608 (0.618)	Data 0.001 (0.004)	Loss 2.4181 (2.5954)	Prec@1 42.500 (37.023)	Prec@5 71.000 (67.683)
Epoch: [9][690/9018]	Time 0.633 (0.619)	Data 0.001 (0.004)	Loss 2.5345 (2.5949)	Prec@1 35.000 (37.033)	Prec@5 66.500 (67.694)
Epoch: [9][700/9018]	Time 0.611 (0.618)	Data 0.001 (0.004)	Loss 2.6860 (2.5961)	Prec@1 34.500 (37.014)	Prec@5 66.000 (67.666)
Epoch: [9][710/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 2.3395 (2.5956)	Prec@1 43.000 (37.048)	Prec@5 72.500 (67.686)
Epoch: [9][720/9018]	Time 0.618 (0.618)	Data 0.001 (0.004)	Loss 2.6440 (2.5942)	Prec@1 37.500 (37.068)	Prec@5 67.000 (67.710)
Epoch: [9][730/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 2.5731 (2.5940)	Prec@1 38.000 (37.078)	Prec@5 67.000 (67.707)
Epoch: [9][740/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.5461 (2.5931)	Prec@1 34.500 (37.083)	Prec@5 67.000 (67.732)
Epoch: [9][750/9018]	Time 0.627 (0.618)	Data 0.001 (0.004)	Loss 2.5405 (2.5937)	Prec@1 40.000 (37.066)	Prec@5 69.500 (67.709)
Epoch: [9][760/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 2.7365 (2.5949)	Prec@1 35.500 (37.040)	Prec@5 66.000 (67.683)
Epoch: [9][770/9018]	Time 0.631 (0.618)	Data 0.001 (0.004)	Loss 2.5064 (2.5955)	Prec@1 42.500 (37.032)	Prec@5 70.500 (67.693)
Epoch: [9][780/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.6201 (2.5956)	Prec@1 38.000 (37.057)	Prec@5 65.000 (67.684)
Epoch: [9][790/9018]	Time 0.625 (0.618)	Data 0.001 (0.004)	Loss 2.4645 (2.5963)	Prec@1 39.000 (37.058)	Prec@5 70.000 (67.671)
Epoch: [9][800/9018]	Time 0.627 (0.618)	Data 0.001 (0.004)	Loss 2.4155 (2.5960)	Prec@1 42.000 (37.070)	Prec@5 69.500 (67.668)
Epoch: [9][810/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 2.2417 (2.5948)	Prec@1 43.500 (37.102)	Prec@5 74.500 (67.682)
Epoch: [9][820/9018]	Time 0.589 (0.618)	Data 0.001 (0.004)	Loss 2.4080 (2.5947)	Prec@1 40.500 (37.106)	Prec@5 71.500 (67.686)
Epoch: [9][830/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.4161 (2.5948)	Prec@1 38.500 (37.105)	Prec@5 72.000 (67.674)
Epoch: [9][840/9018]	Time 0.618 (0.618)	Data 0.001 (0.004)	Loss 2.6326 (2.5945)	Prec@1 36.000 (37.129)	Prec@5 66.500 (67.671)
Epoch: [9][850/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 2.7460 (2.5950)	Prec@1 34.500 (37.125)	Prec@5 66.000 (67.660)
Epoch: [9][860/9018]	Time 0.634 (0.618)	Data 0.001 (0.003)	Loss 2.6191 (2.5948)	Prec@1 34.000 (37.114)	Prec@5 65.500 (67.659)
Epoch: [9][870/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 2.6118 (2.5952)	Prec@1 35.500 (37.098)	Prec@5 67.000 (67.655)
Epoch: [9][880/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 2.5668 (2.5951)	Prec@1 39.500 (37.102)	Prec@5 67.500 (67.652)
Epoch: [9][890/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 2.7595 (2.5957)	Prec@1 38.500 (37.088)	Prec@5 59.500 (67.643)
Epoch: [9][900/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 2.5401 (2.5961)	Prec@1 36.000 (37.079)	Prec@5 68.000 (67.650)
Epoch: [9][910/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 2.6808 (2.5966)	Prec@1 33.000 (37.059)	Prec@5 71.000 (67.651)
Epoch: [9][920/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 2.5369 (2.5963)	Prec@1 37.500 (37.075)	Prec@5 69.500 (67.656)
Epoch: [9][930/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.6664 (2.5960)	Prec@1 39.500 (37.095)	Prec@5 66.000 (67.658)
Epoch: [9][940/9018]	Time 0.588 (0.617)	Data 0.001 (0.003)	Loss 2.6848 (2.5961)	Prec@1 34.500 (37.099)	Prec@5 65.500 (67.647)
Epoch: [9][950/9018]	Time 0.732 (0.617)	Data 0.001 (0.003)	Loss 2.5293 (2.5958)	Prec@1 38.000 (37.089)	Prec@5 71.500 (67.652)
Epoch: [9][960/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.6669 (2.5964)	Prec@1 33.500 (37.081)	Prec@5 62.500 (67.639)
Epoch: [9][970/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.6866 (2.5961)	Prec@1 38.000 (37.085)	Prec@5 63.000 (67.644)
Epoch: [9][980/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.4821 (2.5960)	Prec@1 40.000 (37.072)	Prec@5 68.500 (67.642)
Epoch: [9][990/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.4621 (2.5963)	Prec@1 38.500 (37.050)	Prec@5 71.500 (67.639)
Epoch: [9][1000/9018]	Time 0.728 (0.617)	Data 0.001 (0.003)	Loss 2.7755 (2.5968)	Prec@1 33.000 (37.038)	Prec@5 64.000 (67.620)
Epoch: [9][1010/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 2.4885 (2.5972)	Prec@1 39.000 (37.023)	Prec@5 73.000 (67.610)
Epoch: [9][1020/9018]	Time 0.628 (0.617)	Data 0.001 (0.003)	Loss 2.5975 (2.5975)	Prec@1 33.500 (37.013)	Prec@5 70.000 (67.612)
Epoch: [9][1030/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 2.4351 (2.5974)	Prec@1 39.500 (37.018)	Prec@5 68.000 (67.617)
Epoch: [9][1040/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.7057 (2.5976)	Prec@1 36.500 (37.007)	Prec@5 65.000 (67.611)
Epoch: [9][1050/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.4308 (2.5974)	Prec@1 40.500 (37.015)	Prec@5 70.500 (67.619)
Epoch: [9][1060/9018]	Time 0.636 (0.617)	Data 0.001 (0.003)	Loss 2.3084 (2.5974)	Prec@1 42.000 (37.014)	Prec@5 71.000 (67.626)
Epoch: [9][1070/9018]	Time 0.633 (0.617)	Data 0.001 (0.003)	Loss 2.5431 (2.5970)	Prec@1 34.000 (37.007)	Prec@5 69.500 (67.633)
Epoch: [9][1080/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 2.5792 (2.5964)	Prec@1 37.500 (37.021)	Prec@5 68.000 (67.642)
Epoch: [9][1090/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.3748 (2.5963)	Prec@1 40.500 (37.029)	Prec@5 69.000 (67.648)
Epoch: [9][1100/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.6436 (2.5964)	Prec@1 39.500 (37.036)	Prec@5 66.000 (67.653)
Epoch: [9][1110/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 2.7520 (2.5965)	Prec@1 35.000 (37.037)	Prec@5 68.500 (67.656)
Epoch: [9][1120/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.6582 (2.5970)	Prec@1 38.500 (37.022)	Prec@5 67.000 (67.643)
Epoch: [9][1130/9018]	Time 0.635 (0.617)	Data 0.001 (0.003)	Loss 2.6279 (2.5964)	Prec@1 32.000 (37.031)	Prec@5 67.000 (67.663)
Epoch: [9][1140/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.4879 (2.5960)	Prec@1 42.000 (37.047)	Prec@5 72.500 (67.664)
Epoch: [9][1150/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.4077 (2.5962)	Prec@1 40.000 (37.033)	Prec@5 72.000 (67.665)
Epoch: [9][1160/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.5878 (2.5964)	Prec@1 34.000 (37.017)	Prec@5 70.000 (67.665)
Epoch: [9][1170/9018]	Time 0.628 (0.617)	Data 0.001 (0.003)	Loss 2.6585 (2.5965)	Prec@1 34.000 (37.009)	Prec@5 66.500 (67.660)
Epoch: [9][1180/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.5683 (2.5967)	Prec@1 38.000 (37.008)	Prec@5 67.000 (67.654)
Epoch: [9][1190/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.5817 (2.5964)	Prec@1 36.500 (37.007)	Prec@5 66.000 (67.659)
Epoch: [9][1200/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.6287 (2.5960)	Prec@1 38.500 (37.014)	Prec@5 65.000 (67.674)
Epoch: [9][1210/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.4682 (2.5959)	Prec@1 39.000 (37.017)	Prec@5 70.000 (67.681)
Epoch: [9][1220/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.6637 (2.5960)	Prec@1 37.000 (37.022)	Prec@5 64.500 (67.679)
Epoch: [9][1230/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.6275 (2.5959)	Prec@1 38.000 (37.020)	Prec@5 68.000 (67.676)
Epoch: [9][1240/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.6122 (2.5955)	Prec@1 38.000 (37.026)	Prec@5 67.500 (67.678)
Epoch: [9][1250/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.4778 (2.5955)	Prec@1 38.500 (37.026)	Prec@5 68.500 (67.671)
Epoch: [9][1260/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.5452 (2.5958)	Prec@1 37.000 (37.027)	Prec@5 73.500 (67.670)
Epoch: [9][1270/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.3820 (2.5952)	Prec@1 42.500 (37.025)	Prec@5 74.000 (67.675)
Epoch: [9][1280/9018]	Time 0.736 (0.617)	Data 0.001 (0.003)	Loss 2.5870 (2.5956)	Prec@1 37.000 (37.018)	Prec@5 67.500 (67.665)
Epoch: [9][1290/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.7100 (2.5954)	Prec@1 33.000 (37.021)	Prec@5 66.000 (67.673)
Epoch: [9][1300/9018]	Time 0.612 (0.617)	Data 0.001 (0.003)	Loss 2.8177 (2.5956)	Prec@1 32.500 (37.015)	Prec@5 63.000 (67.669)
Epoch: [9][1310/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.7548 (2.5955)	Prec@1 37.000 (37.014)	Prec@5 65.500 (67.668)
Epoch: [9][1320/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.6398 (2.5964)	Prec@1 35.500 (36.994)	Prec@5 67.500 (67.657)
Epoch: [9][1330/9018]	Time 0.732 (0.617)	Data 0.001 (0.003)	Loss 2.5057 (2.5963)	Prec@1 39.000 (36.992)	Prec@5 68.500 (67.659)
Epoch: [9][1340/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.5152 (2.5966)	Prec@1 36.500 (36.991)	Prec@5 67.500 (67.661)
Epoch: [9][1350/9018]	Time 0.648 (0.617)	Data 0.001 (0.003)	Loss 2.4902 (2.5971)	Prec@1 38.000 (36.989)	Prec@5 71.000 (67.654)
Epoch: [9][1360/9018]	Time 0.588 (0.617)	Data 0.001 (0.002)	Loss 2.5592 (2.5971)	Prec@1 32.000 (36.985)	Prec@5 72.500 (67.654)
Epoch: [9][1370/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.4943 (2.5970)	Prec@1 38.000 (36.969)	Prec@5 70.000 (67.655)
Epoch: [9][1380/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.7614 (2.5968)	Prec@1 35.500 (36.967)	Prec@5 65.000 (67.662)
Epoch: [9][1390/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.6639 (2.5973)	Prec@1 35.000 (36.959)	Prec@5 64.500 (67.656)
Epoch: [9][1400/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.7447 (2.5977)	Prec@1 31.000 (36.943)	Prec@5 66.500 (67.648)
Epoch: [9][1410/9018]	Time 0.633 (0.617)	Data 0.001 (0.002)	Loss 2.6443 (2.5980)	Prec@1 41.500 (36.930)	Prec@5 66.500 (67.643)
Epoch: [9][1420/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.6822 (2.5978)	Prec@1 32.000 (36.936)	Prec@5 68.500 (67.651)
Epoch: [9][1430/9018]	Time 0.649 (0.617)	Data 0.001 (0.002)	Loss 2.6287 (2.5975)	Prec@1 38.000 (36.934)	Prec@5 68.500 (67.657)
Epoch: [9][1440/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.6835 (2.5979)	Prec@1 38.000 (36.937)	Prec@5 61.000 (67.644)
Epoch: [9][1450/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.6297 (2.5979)	Prec@1 37.500 (36.936)	Prec@5 69.500 (67.650)
Epoch: [9][1460/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.6893 (2.5976)	Prec@1 35.500 (36.938)	Prec@5 66.000 (67.665)
Epoch: [9][1470/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.6515 (2.5981)	Prec@1 33.000 (36.927)	Prec@5 71.500 (67.653)
Epoch: [9][1480/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.8486 (2.5985)	Prec@1 33.000 (36.922)	Prec@5 61.500 (67.640)
Epoch: [9][1490/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.5977 (2.5989)	Prec@1 39.500 (36.915)	Prec@5 68.000 (67.634)
Epoch: [9][1500/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.5506 (2.5987)	Prec@1 37.500 (36.917)	Prec@5 71.000 (67.642)
Epoch: [9][1510/9018]	Time 0.617 (0.617)	Data 0.001 (0.002)	Loss 2.4070 (2.5980)	Prec@1 39.500 (36.930)	Prec@5 73.000 (67.659)
Epoch: [9][1520/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.6438 (2.5981)	Prec@1 34.000 (36.918)	Prec@5 66.500 (67.654)
Epoch: [9][1530/9018]	Time 0.621 (0.617)	Data 0.001 (0.002)	Loss 2.7104 (2.5987)	Prec@1 34.500 (36.907)	Prec@5 63.500 (67.642)
Epoch: [9][1540/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.5746 (2.5991)	Prec@1 37.000 (36.897)	Prec@5 66.000 (67.634)
Epoch: [9][1550/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.2686 (2.5989)	Prec@1 44.000 (36.898)	Prec@5 74.500 (67.640)
Epoch: [9][1560/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.4243 (2.5985)	Prec@1 37.500 (36.903)	Prec@5 71.500 (67.654)
Epoch: [9][1570/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.5832 (2.5987)	Prec@1 38.500 (36.906)	Prec@5 71.000 (67.655)
Epoch: [9][1580/9018]	Time 0.635 (0.617)	Data 0.001 (0.002)	Loss 2.5965 (2.5986)	Prec@1 33.500 (36.903)	Prec@5 70.000 (67.654)
Epoch: [9][1590/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.7927 (2.5992)	Prec@1 32.000 (36.891)	Prec@5 65.000 (67.647)
Epoch: [9][1600/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.6944 (2.5994)	Prec@1 32.500 (36.884)	Prec@5 65.500 (67.646)
Epoch: [9][1610/9018]	Time 0.727 (0.617)	Data 0.001 (0.002)	Loss 2.7117 (2.5994)	Prec@1 35.500 (36.887)	Prec@5 66.000 (67.647)
Epoch: [9][1620/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.5792 (2.5994)	Prec@1 36.500 (36.893)	Prec@5 68.500 (67.645)
Epoch: [9][1630/9018]	Time 0.611 (0.617)	Data 0.001 (0.002)	Loss 2.7350 (2.5995)	Prec@1 37.500 (36.890)	Prec@5 64.500 (67.644)
Epoch: [9][1640/9018]	Time 0.612 (0.617)	Data 0.001 (0.002)	Loss 2.5514 (2.5999)	Prec@1 37.500 (36.880)	Prec@5 68.000 (67.637)
Epoch: [9][1650/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.5444 (2.6001)	Prec@1 41.000 (36.882)	Prec@5 64.500 (67.635)
Epoch: [9][1660/9018]	Time 0.735 (0.617)	Data 0.001 (0.002)	Loss 2.6214 (2.5999)	Prec@1 39.500 (36.894)	Prec@5 67.500 (67.638)
Epoch: [9][1670/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6974 (2.5998)	Prec@1 39.000 (36.898)	Prec@5 65.500 (67.638)
Epoch: [9][1680/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.8558 (2.6000)	Prec@1 33.000 (36.896)	Prec@5 62.500 (67.637)
Epoch: [9][1690/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.5209 (2.5998)	Prec@1 33.000 (36.892)	Prec@5 70.000 (67.641)
Epoch: [9][1700/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.5684 (2.5998)	Prec@1 35.000 (36.892)	Prec@5 68.000 (67.642)
Epoch: [9][1710/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.6871 (2.5998)	Prec@1 35.500 (36.891)	Prec@5 68.000 (67.641)
Epoch: [9][1720/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6998 (2.5999)	Prec@1 35.000 (36.889)	Prec@5 61.500 (67.632)
Epoch: [9][1730/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.7878 (2.6001)	Prec@1 34.000 (36.886)	Prec@5 61.500 (67.624)
Epoch: [9][1740/9018]	Time 0.589 (0.616)	Data 0.001 (0.002)	Loss 2.7022 (2.6005)	Prec@1 32.500 (36.878)	Prec@5 60.000 (67.612)
Epoch: [9][1750/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.3572 (2.6006)	Prec@1 41.500 (36.875)	Prec@5 71.000 (67.607)
Epoch: [9][1760/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 3.0004 (2.6008)	Prec@1 30.000 (36.875)	Prec@5 63.000 (67.615)
Epoch: [9][1770/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5948 (2.6005)	Prec@1 38.000 (36.878)	Prec@5 65.500 (67.615)
Epoch: [9][1780/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.5361 (2.6002)	Prec@1 39.500 (36.887)	Prec@5 70.500 (67.622)
Epoch: [9][1790/9018]	Time 0.638 (0.616)	Data 0.001 (0.002)	Loss 2.6305 (2.6005)	Prec@1 35.000 (36.876)	Prec@5 65.500 (67.618)
Epoch: [9][1800/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.6312 (2.6006)	Prec@1 38.000 (36.888)	Prec@5 67.000 (67.611)
Epoch: [9][1810/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6832 (2.6008)	Prec@1 33.500 (36.889)	Prec@5 66.500 (67.609)
Epoch: [9][1820/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.6069 (2.6013)	Prec@1 38.500 (36.884)	Prec@5 67.000 (67.597)
Epoch: [9][1830/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.5824 (2.6008)	Prec@1 38.500 (36.892)	Prec@5 65.000 (67.607)
Epoch: [9][1840/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.3681 (2.6005)	Prec@1 44.500 (36.896)	Prec@5 70.000 (67.607)
Epoch: [9][1850/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.2837 (2.6003)	Prec@1 39.000 (36.895)	Prec@5 77.500 (67.619)
Epoch: [9][1860/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.6520 (2.6006)	Prec@1 35.000 (36.893)	Prec@5 68.500 (67.617)
Epoch: [9][1870/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.4698 (2.6004)	Prec@1 37.500 (36.897)	Prec@5 68.500 (67.623)
Epoch: [9][1880/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.7231 (2.6003)	Prec@1 35.000 (36.901)	Prec@5 64.500 (67.622)
Epoch: [9][1890/9018]	Time 0.607 (0.616)	Data 0.002 (0.002)	Loss 2.7000 (2.6006)	Prec@1 34.000 (36.899)	Prec@5 67.000 (67.614)
Epoch: [9][1900/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.5728 (2.6006)	Prec@1 32.000 (36.890)	Prec@5 70.000 (67.614)
Epoch: [9][1910/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.5185 (2.6006)	Prec@1 39.500 (36.886)	Prec@5 69.500 (67.614)
Epoch: [9][1920/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.6044 (2.6005)	Prec@1 37.500 (36.890)	Prec@5 63.500 (67.613)
Epoch: [9][1930/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4761 (2.6006)	Prec@1 41.000 (36.888)	Prec@5 69.500 (67.610)
Epoch: [9][1940/9018]	Time 0.725 (0.616)	Data 0.001 (0.002)	Loss 2.4985 (2.6006)	Prec@1 41.500 (36.889)	Prec@5 68.000 (67.608)
Epoch: [9][1950/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6480 (2.6006)	Prec@1 33.500 (36.889)	Prec@5 68.000 (67.610)
Epoch: [9][1960/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5142 (2.6008)	Prec@1 42.500 (36.888)	Prec@5 69.500 (67.605)
Epoch: [9][1970/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.6614 (2.6008)	Prec@1 30.000 (36.888)	Prec@5 67.000 (67.596)
Epoch: [9][1980/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.8554 (2.6009)	Prec@1 36.000 (36.893)	Prec@5 64.500 (67.593)
Epoch: [9][1990/9018]	Time 0.734 (0.616)	Data 0.001 (0.002)	Loss 2.5680 (2.6010)	Prec@1 34.000 (36.890)	Prec@5 68.000 (67.590)
Epoch: [9][2000/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.3978 (2.6011)	Prec@1 39.500 (36.888)	Prec@5 75.000 (67.581)
Epoch: [9][2010/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.5101 (2.6013)	Prec@1 38.000 (36.882)	Prec@5 69.500 (67.578)
Epoch: [9][2020/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.7455 (2.6011)	Prec@1 32.000 (36.887)	Prec@5 62.500 (67.587)
Epoch: [9][2030/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.7164 (2.6011)	Prec@1 34.000 (36.882)	Prec@5 67.000 (67.586)
Epoch: [9][2040/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.5120 (2.6010)	Prec@1 39.000 (36.884)	Prec@5 66.500 (67.580)
Epoch: [9][2050/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.7074 (2.6012)	Prec@1 39.500 (36.886)	Prec@5 67.000 (67.573)
Epoch: [9][2060/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.6445 (2.6014)	Prec@1 39.500 (36.879)	Prec@5 67.000 (67.564)
Epoch: [9][2070/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5608 (2.6015)	Prec@1 35.500 (36.874)	Prec@5 66.000 (67.563)
Epoch: [9][2080/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6753 (2.6017)	Prec@1 34.500 (36.872)	Prec@5 64.500 (67.559)
Epoch: [9][2090/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.7032 (2.6015)	Prec@1 39.500 (36.879)	Prec@5 67.500 (67.564)
Epoch: [9][2100/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.6844 (2.6016)	Prec@1 32.000 (36.874)	Prec@5 69.500 (67.562)
Epoch: [9][2110/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6927 (2.6015)	Prec@1 34.500 (36.873)	Prec@5 65.000 (67.563)
Epoch: [9][2120/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.5641 (2.6014)	Prec@1 38.000 (36.876)	Prec@5 68.500 (67.567)
Epoch: [9][2130/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.6052 (2.6013)	Prec@1 31.500 (36.873)	Prec@5 67.500 (67.568)
Epoch: [9][2140/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.7461 (2.6015)	Prec@1 35.500 (36.865)	Prec@5 63.000 (67.567)
Epoch: [9][2150/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5479 (2.6013)	Prec@1 34.000 (36.870)	Prec@5 71.000 (67.576)
Epoch: [9][2160/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.6735 (2.6013)	Prec@1 36.000 (36.863)	Prec@5 64.500 (67.579)
Epoch: [9][2170/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5599 (2.6010)	Prec@1 34.500 (36.864)	Prec@5 70.500 (67.577)
Epoch: [9][2180/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.7996 (2.6012)	Prec@1 37.500 (36.866)	Prec@5 66.000 (67.568)
Epoch: [9][2190/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7602 (2.6014)	Prec@1 33.000 (36.865)	Prec@5 62.500 (67.563)
Epoch: [9][2200/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6252 (2.6012)	Prec@1 38.000 (36.865)	Prec@5 67.000 (67.571)
Epoch: [9][2210/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6479 (2.6010)	Prec@1 36.000 (36.870)	Prec@5 67.500 (67.570)
Epoch: [9][2220/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6714 (2.6009)	Prec@1 35.000 (36.872)	Prec@5 65.500 (67.570)
Epoch: [9][2230/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5446 (2.6006)	Prec@1 37.500 (36.884)	Prec@5 66.000 (67.572)
Epoch: [9][2240/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 2.6939 (2.6007)	Prec@1 38.000 (36.875)	Prec@5 63.000 (67.572)
Epoch: [9][2250/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6086 (2.6010)	Prec@1 36.000 (36.868)	Prec@5 67.500 (67.568)
Epoch: [9][2260/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.3732 (2.6010)	Prec@1 42.000 (36.870)	Prec@5 70.500 (67.564)
Epoch: [9][2270/9018]	Time 0.734 (0.616)	Data 0.001 (0.002)	Loss 2.4858 (2.6012)	Prec@1 40.500 (36.868)	Prec@5 67.500 (67.564)
Epoch: [9][2280/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.7092 (2.6010)	Prec@1 35.500 (36.872)	Prec@5 66.500 (67.567)
Epoch: [9][2290/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.3967 (2.6011)	Prec@1 43.500 (36.867)	Prec@5 71.000 (67.562)
Epoch: [9][2300/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.6573 (2.6013)	Prec@1 38.000 (36.872)	Prec@5 64.000 (67.559)
Epoch: [9][2310/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.7334 (2.6015)	Prec@1 34.000 (36.868)	Prec@5 66.500 (67.551)
Epoch: [9][2320/9018]	Time 0.720 (0.616)	Data 0.001 (0.002)	Loss 2.4266 (2.6015)	Prec@1 41.500 (36.868)	Prec@5 70.000 (67.550)
Epoch: [9][2330/9018]	Time 0.642 (0.616)	Data 0.001 (0.002)	Loss 2.4471 (2.6014)	Prec@1 37.500 (36.865)	Prec@5 70.000 (67.555)
Epoch: [9][2340/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.7208 (2.6017)	Prec@1 37.500 (36.857)	Prec@5 64.000 (67.550)
Epoch: [9][2350/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.7463 (2.6016)	Prec@1 36.500 (36.859)	Prec@5 65.500 (67.550)
Epoch: [9][2360/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.6205 (2.6018)	Prec@1 32.500 (36.859)	Prec@5 70.000 (67.546)
Epoch: [9][2370/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.8911 (2.6019)	Prec@1 32.500 (36.856)	Prec@5 64.500 (67.549)
Epoch: [9][2380/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4822 (2.6020)	Prec@1 38.000 (36.853)	Prec@5 68.000 (67.545)
Epoch: [9][2390/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5737 (2.6021)	Prec@1 36.500 (36.853)	Prec@5 70.000 (67.545)
Epoch: [9][2400/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6033 (2.6022)	Prec@1 40.000 (36.856)	Prec@5 67.000 (67.545)
Epoch: [9][2410/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4377 (2.6020)	Prec@1 40.000 (36.856)	Prec@5 67.000 (67.548)
Epoch: [9][2420/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.4415 (2.6023)	Prec@1 39.500 (36.852)	Prec@5 72.500 (67.546)
Epoch: [9][2430/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.7600 (2.6021)	Prec@1 35.000 (36.854)	Prec@5 60.500 (67.546)
Epoch: [9][2440/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.9395 (2.6022)	Prec@1 31.000 (36.850)	Prec@5 60.500 (67.546)
Epoch: [9][2450/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.5087 (2.6023)	Prec@1 37.500 (36.850)	Prec@5 70.500 (67.545)
Epoch: [9][2460/9018]	Time 0.588 (0.616)	Data 0.001 (0.002)	Loss 2.7528 (2.6026)	Prec@1 36.500 (36.841)	Prec@5 62.000 (67.537)
Epoch: [9][2470/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.7308 (2.6026)	Prec@1 32.500 (36.838)	Prec@5 66.500 (67.538)
Epoch: [9][2480/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.7248 (2.6027)	Prec@1 29.500 (36.836)	Prec@5 63.000 (67.540)
Epoch: [9][2490/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.5251 (2.6027)	Prec@1 40.500 (36.838)	Prec@5 68.000 (67.541)
Epoch: [9][2500/9018]	Time 0.639 (0.616)	Data 0.001 (0.002)	Loss 2.6511 (2.6027)	Prec@1 34.500 (36.840)	Prec@5 69.000 (67.544)
Epoch: [9][2510/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7779 (2.6029)	Prec@1 33.500 (36.832)	Prec@5 62.000 (67.540)
Epoch: [9][2520/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.8500 (2.6031)	Prec@1 34.000 (36.829)	Prec@5 58.000 (67.536)
Epoch: [9][2530/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.6662 (2.6034)	Prec@1 38.500 (36.822)	Prec@5 66.000 (67.531)
Epoch: [9][2540/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6038 (2.6034)	Prec@1 34.500 (36.818)	Prec@5 63.500 (67.532)
Epoch: [9][2550/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.4436 (2.6032)	Prec@1 40.500 (36.822)	Prec@5 68.500 (67.535)
Epoch: [9][2560/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.6646 (2.6033)	Prec@1 39.000 (36.823)	Prec@5 65.500 (67.534)
Epoch: [9][2570/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.5360 (2.6031)	Prec@1 38.000 (36.827)	Prec@5 68.000 (67.536)
Epoch: [9][2580/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.5126 (2.6031)	Prec@1 39.000 (36.822)	Prec@5 68.000 (67.537)
Epoch: [9][2590/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6048 (2.6032)	Prec@1 33.000 (36.822)	Prec@5 68.000 (67.536)
Epoch: [9][2600/9018]	Time 0.715 (0.616)	Data 0.001 (0.002)	Loss 2.5226 (2.6033)	Prec@1 37.000 (36.819)	Prec@5 66.500 (67.533)
Epoch: [9][2610/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4188 (2.6032)	Prec@1 36.500 (36.819)	Prec@5 72.500 (67.536)
Epoch: [9][2620/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.3849 (2.6031)	Prec@1 41.500 (36.820)	Prec@5 68.000 (67.538)
Epoch: [9][2630/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7047 (2.6033)	Prec@1 30.500 (36.812)	Prec@5 66.000 (67.535)
Epoch: [9][2640/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5894 (2.6030)	Prec@1 35.500 (36.821)	Prec@5 71.000 (67.541)
Epoch: [9][2650/9018]	Time 0.714 (0.616)	Data 0.001 (0.002)	Loss 2.8985 (2.6032)	Prec@1 34.500 (36.819)	Prec@5 63.000 (67.537)
Epoch: [9][2660/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.7406 (2.6031)	Prec@1 35.500 (36.819)	Prec@5 68.500 (67.540)
Epoch: [9][2670/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.6075 (2.6031)	Prec@1 35.000 (36.819)	Prec@5 70.000 (67.537)
Epoch: [9][2680/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.5124 (2.6031)	Prec@1 38.000 (36.819)	Prec@5 68.500 (67.537)
Epoch: [9][2690/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4964 (2.6031)	Prec@1 40.000 (36.824)	Prec@5 69.000 (67.535)
Epoch: [9][2700/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.9784 (2.6034)	Prec@1 29.000 (36.817)	Prec@5 62.000 (67.530)
Epoch: [9][2710/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.3862 (2.6032)	Prec@1 44.500 (36.818)	Prec@5 71.000 (67.533)
Epoch: [9][2720/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.7309 (2.6032)	Prec@1 35.500 (36.819)	Prec@5 68.500 (67.533)
Epoch: [9][2730/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6125 (2.6035)	Prec@1 34.000 (36.812)	Prec@5 67.500 (67.527)
Epoch: [9][2740/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.7469 (2.6032)	Prec@1 33.000 (36.816)	Prec@5 63.000 (67.533)
Epoch: [9][2750/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.3689 (2.6033)	Prec@1 43.000 (36.812)	Prec@5 72.500 (67.533)
Epoch: [9][2760/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.3915 (2.6033)	Prec@1 41.000 (36.817)	Prec@5 71.500 (67.536)
Epoch: [9][2770/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.6102 (2.6035)	Prec@1 41.000 (36.814)	Prec@5 69.500 (67.533)
Epoch: [9][2780/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.7657 (2.6036)	Prec@1 33.500 (36.812)	Prec@5 65.000 (67.531)
Epoch: [9][2790/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6694 (2.6036)	Prec@1 37.000 (36.813)	Prec@5 68.000 (67.535)
Epoch: [9][2800/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5992 (2.6036)	Prec@1 32.500 (36.816)	Prec@5 70.000 (67.538)
Epoch: [9][2810/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5041 (2.6033)	Prec@1 37.500 (36.823)	Prec@5 70.500 (67.543)
Epoch: [9][2820/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5763 (2.6033)	Prec@1 36.500 (36.827)	Prec@5 72.000 (67.543)
Epoch: [9][2830/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6528 (2.6033)	Prec@1 36.500 (36.826)	Prec@5 67.000 (67.543)
Epoch: [9][2840/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 2.3930 (2.6033)	Prec@1 41.000 (36.825)	Prec@5 70.500 (67.546)
Epoch: [9][2850/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.6539 (2.6032)	Prec@1 35.000 (36.827)	Prec@5 65.500 (67.551)
Epoch: [9][2860/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6495 (2.6032)	Prec@1 40.000 (36.829)	Prec@5 68.000 (67.547)
Epoch: [9][2870/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6015 (2.6032)	Prec@1 36.500 (36.822)	Prec@5 67.500 (67.547)
Epoch: [9][2880/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6199 (2.6032)	Prec@1 34.000 (36.821)	Prec@5 69.000 (67.545)
Epoch: [9][2890/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6786 (2.6032)	Prec@1 39.000 (36.822)	Prec@5 69.500 (67.545)
Epoch: [9][2900/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.7041 (2.6034)	Prec@1 34.000 (36.812)	Prec@5 65.000 (67.537)
Epoch: [9][2910/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5237 (2.6034)	Prec@1 37.500 (36.812)	Prec@5 67.500 (67.537)
Epoch: [9][2920/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.6283 (2.6033)	Prec@1 37.000 (36.811)	Prec@5 65.000 (67.538)
Epoch: [9][2930/9018]	Time 0.682 (0.616)	Data 0.001 (0.002)	Loss 2.6319 (2.6034)	Prec@1 34.000 (36.810)	Prec@5 63.000 (67.535)
Epoch: [9][2940/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5480 (2.6032)	Prec@1 41.000 (36.815)	Prec@5 68.500 (67.536)
Epoch: [9][2950/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5782 (2.6035)	Prec@1 34.000 (36.810)	Prec@5 71.000 (67.534)
Epoch: [9][2960/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.7196 (2.6035)	Prec@1 34.000 (36.811)	Prec@5 64.000 (67.533)
Epoch: [9][2970/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.6471 (2.6034)	Prec@1 34.500 (36.811)	Prec@5 66.000 (67.536)
Epoch: [9][2980/9018]	Time 0.727 (0.616)	Data 0.001 (0.002)	Loss 2.5317 (2.6032)	Prec@1 36.500 (36.814)	Prec@5 66.500 (67.539)
Epoch: [9][2990/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5143 (2.6033)	Prec@1 36.500 (36.814)	Prec@5 67.000 (67.537)
Epoch: [9][3000/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.7716 (2.6034)	Prec@1 33.000 (36.816)	Prec@5 65.000 (67.534)
Epoch: [9][3010/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4581 (2.6033)	Prec@1 38.000 (36.816)	Prec@5 69.000 (67.534)
Epoch: [9][3020/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.6670 (2.6033)	Prec@1 39.500 (36.816)	Prec@5 70.000 (67.531)
Epoch: [9][3030/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.5604 (2.6033)	Prec@1 40.500 (36.821)	Prec@5 68.000 (67.532)
Epoch: [9][3040/9018]	Time 0.638 (0.615)	Data 0.001 (0.002)	Loss 2.8341 (2.6034)	Prec@1 30.500 (36.817)	Prec@5 62.000 (67.526)
Epoch: [9][3050/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.5876 (2.6035)	Prec@1 36.500 (36.816)	Prec@5 73.000 (67.526)
Epoch: [9][3060/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4181 (2.6036)	Prec@1 37.000 (36.814)	Prec@5 71.000 (67.524)
Epoch: [9][3070/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6803 (2.6038)	Prec@1 38.000 (36.811)	Prec@5 67.000 (67.518)
Epoch: [9][3080/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.6557 (2.6039)	Prec@1 36.500 (36.808)	Prec@5 64.500 (67.516)
Epoch: [9][3090/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7239 (2.6042)	Prec@1 33.000 (36.805)	Prec@5 66.000 (67.511)
Epoch: [9][3100/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6974 (2.6042)	Prec@1 36.500 (36.804)	Prec@5 64.500 (67.510)
Epoch: [9][3110/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.4657 (2.6041)	Prec@1 41.500 (36.807)	Prec@5 70.500 (67.512)
Epoch: [9][3120/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.4759 (2.6041)	Prec@1 39.000 (36.810)	Prec@5 72.000 (67.515)
Epoch: [9][3130/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.6114 (2.6041)	Prec@1 35.500 (36.810)	Prec@5 68.500 (67.513)
Epoch: [9][3140/9018]	Time 0.637 (0.615)	Data 0.001 (0.002)	Loss 2.7264 (2.6042)	Prec@1 33.500 (36.806)	Prec@5 66.500 (67.510)
Epoch: [9][3150/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5143 (2.6042)	Prec@1 38.500 (36.805)	Prec@5 70.500 (67.513)
Epoch: [9][3160/9018]	Time 0.636 (0.615)	Data 0.001 (0.002)	Loss 2.7360 (2.6042)	Prec@1 37.000 (36.806)	Prec@5 63.500 (67.513)
Epoch: [9][3170/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.5230 (2.6042)	Prec@1 38.500 (36.809)	Prec@5 68.000 (67.512)
Epoch: [9][3180/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.5556 (2.6042)	Prec@1 38.000 (36.805)	Prec@5 67.500 (67.509)
Epoch: [9][3190/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4151 (2.6040)	Prec@1 40.500 (36.806)	Prec@5 74.000 (67.513)
Epoch: [9][3200/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7539 (2.6043)	Prec@1 32.000 (36.803)	Prec@5 64.000 (67.506)
Epoch: [9][3210/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5330 (2.6041)	Prec@1 39.000 (36.809)	Prec@5 71.000 (67.511)
Epoch: [9][3220/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4689 (2.6042)	Prec@1 39.000 (36.807)	Prec@5 67.500 (67.508)
Epoch: [9][3230/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5812 (2.6040)	Prec@1 37.500 (36.814)	Prec@5 67.500 (67.509)
Epoch: [9][3240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6977 (2.6044)	Prec@1 34.500 (36.804)	Prec@5 67.500 (67.502)
Epoch: [9][3250/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5327 (2.6043)	Prec@1 36.000 (36.805)	Prec@5 70.000 (67.508)
Epoch: [9][3260/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.7129 (2.6044)	Prec@1 33.000 (36.801)	Prec@5 67.000 (67.506)
Epoch: [9][3270/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4688 (2.6043)	Prec@1 41.000 (36.801)	Prec@5 71.500 (67.506)
Epoch: [9][3280/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8502 (2.6041)	Prec@1 32.500 (36.806)	Prec@5 65.500 (67.511)
Epoch: [9][3290/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7713 (2.6040)	Prec@1 34.500 (36.808)	Prec@5 65.000 (67.515)
Epoch: [9][3300/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.7932 (2.6039)	Prec@1 37.500 (36.809)	Prec@5 64.500 (67.519)
Epoch: [9][3310/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.7405 (2.6040)	Prec@1 35.000 (36.807)	Prec@5 66.000 (67.517)
Epoch: [9][3320/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7728 (2.6040)	Prec@1 37.000 (36.808)	Prec@5 65.500 (67.515)
Epoch: [9][3330/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.9095 (2.6042)	Prec@1 30.500 (36.807)	Prec@5 63.500 (67.510)
Epoch: [9][3340/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5540 (2.6042)	Prec@1 39.000 (36.807)	Prec@5 67.500 (67.508)
Epoch: [9][3350/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6967 (2.6043)	Prec@1 32.500 (36.804)	Prec@5 67.000 (67.509)
Epoch: [9][3360/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6727 (2.6045)	Prec@1 33.500 (36.798)	Prec@5 65.500 (67.508)
Epoch: [9][3370/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4510 (2.6044)	Prec@1 38.500 (36.800)	Prec@5 69.500 (67.510)
Epoch: [9][3380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5297 (2.6046)	Prec@1 40.500 (36.798)	Prec@5 71.500 (67.507)
Epoch: [9][3390/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5278 (2.6046)	Prec@1 40.000 (36.798)	Prec@5 69.500 (67.508)
Epoch: [9][3400/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6781 (2.6049)	Prec@1 41.000 (36.796)	Prec@5 65.500 (67.502)
Epoch: [9][3410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4900 (2.6047)	Prec@1 40.000 (36.801)	Prec@5 73.000 (67.506)
Epoch: [9][3420/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5485 (2.6045)	Prec@1 35.500 (36.803)	Prec@5 73.500 (67.514)
Epoch: [9][3430/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4757 (2.6048)	Prec@1 36.000 (36.795)	Prec@5 70.000 (67.510)
Epoch: [9][3440/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7134 (2.6047)	Prec@1 36.000 (36.791)	Prec@5 66.500 (67.515)
Epoch: [9][3450/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5396 (2.6048)	Prec@1 38.000 (36.790)	Prec@5 66.500 (67.511)
Epoch: [9][3460/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5767 (2.6049)	Prec@1 38.500 (36.783)	Prec@5 69.500 (67.507)
Epoch: [9][3470/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7415 (2.6048)	Prec@1 36.000 (36.785)	Prec@5 64.000 (67.508)
Epoch: [9][3480/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7102 (2.6048)	Prec@1 36.500 (36.786)	Prec@5 63.500 (67.510)
Epoch: [9][3490/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4078 (2.6048)	Prec@1 42.000 (36.782)	Prec@5 69.500 (67.509)
Epoch: [9][3500/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.4418 (2.6048)	Prec@1 42.000 (36.783)	Prec@5 71.000 (67.509)
Epoch: [9][3510/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6254 (2.6049)	Prec@1 32.000 (36.784)	Prec@5 65.500 (67.506)
Epoch: [9][3520/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6642 (2.6050)	Prec@1 32.500 (36.779)	Prec@5 65.500 (67.506)
Epoch: [9][3530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4183 (2.6049)	Prec@1 39.500 (36.783)	Prec@5 73.500 (67.507)
Epoch: [9][3540/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.8016 (2.6050)	Prec@1 32.000 (36.782)	Prec@5 62.000 (67.503)
Epoch: [9][3550/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4700 (2.6051)	Prec@1 38.000 (36.781)	Prec@5 69.000 (67.498)
Epoch: [9][3560/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 3.0147 (2.6052)	Prec@1 31.000 (36.779)	Prec@5 59.000 (67.496)
Epoch: [9][3570/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.9306 (2.6054)	Prec@1 30.000 (36.767)	Prec@5 58.000 (67.491)
Epoch: [9][3580/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7245 (2.6054)	Prec@1 33.000 (36.765)	Prec@5 65.500 (67.493)
Epoch: [9][3590/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.7667 (2.6056)	Prec@1 29.500 (36.759)	Prec@5 64.000 (67.489)
Epoch: [9][3600/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4953 (2.6056)	Prec@1 37.000 (36.756)	Prec@5 67.500 (67.491)
Epoch: [9][3610/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5472 (2.6054)	Prec@1 36.500 (36.757)	Prec@5 69.000 (67.496)
Epoch: [9][3620/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7364 (2.6055)	Prec@1 37.500 (36.755)	Prec@5 68.500 (67.496)
Epoch: [9][3630/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6521 (2.6055)	Prec@1 37.500 (36.755)	Prec@5 67.000 (67.494)
Epoch: [9][3640/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.6412 (2.6056)	Prec@1 38.000 (36.758)	Prec@5 68.000 (67.493)
Epoch: [9][3650/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6523 (2.6056)	Prec@1 35.000 (36.757)	Prec@5 66.000 (67.492)
Epoch: [9][3660/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7869 (2.6055)	Prec@1 31.000 (36.759)	Prec@5 65.500 (67.494)
Epoch: [9][3670/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6005 (2.6056)	Prec@1 39.000 (36.756)	Prec@5 67.000 (67.492)
Epoch: [9][3680/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5940 (2.6055)	Prec@1 39.500 (36.758)	Prec@5 68.500 (67.495)
Epoch: [9][3690/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6925 (2.6054)	Prec@1 32.500 (36.759)	Prec@5 65.000 (67.498)
Epoch: [9][3700/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5956 (2.6055)	Prec@1 36.000 (36.759)	Prec@5 70.000 (67.499)
Epoch: [9][3710/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5319 (2.6056)	Prec@1 38.500 (36.755)	Prec@5 72.000 (67.494)
Epoch: [9][3720/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4604 (2.6055)	Prec@1 39.000 (36.759)	Prec@5 70.500 (67.496)
Epoch: [9][3730/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.3907 (2.6053)	Prec@1 41.000 (36.762)	Prec@5 74.500 (67.503)
Epoch: [9][3740/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6621 (2.6054)	Prec@1 32.500 (36.761)	Prec@5 63.000 (67.499)
Epoch: [9][3750/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4304 (2.6054)	Prec@1 39.000 (36.762)	Prec@5 73.000 (67.500)
Epoch: [9][3760/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8058 (2.6053)	Prec@1 33.000 (36.761)	Prec@5 66.000 (67.499)
Epoch: [9][3770/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5173 (2.6053)	Prec@1 36.000 (36.762)	Prec@5 70.500 (67.498)
Epoch: [9][3780/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6191 (2.6054)	Prec@1 36.000 (36.756)	Prec@5 70.000 (67.494)
Epoch: [9][3790/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6488 (2.6055)	Prec@1 38.000 (36.756)	Prec@5 67.500 (67.489)
Epoch: [9][3800/9018]	Time 0.643 (0.615)	Data 0.001 (0.001)	Loss 2.6563 (2.6057)	Prec@1 33.500 (36.752)	Prec@5 64.500 (67.480)
Epoch: [9][3810/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8809 (2.6057)	Prec@1 31.500 (36.751)	Prec@5 62.000 (67.479)
Epoch: [9][3820/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6846 (2.6057)	Prec@1 37.000 (36.751)	Prec@5 70.000 (67.479)
Epoch: [9][3830/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8251 (2.6056)	Prec@1 31.000 (36.753)	Prec@5 64.000 (67.481)
Epoch: [9][3840/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5699 (2.6054)	Prec@1 34.500 (36.756)	Prec@5 68.000 (67.484)
Epoch: [9][3850/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4197 (2.6054)	Prec@1 40.500 (36.759)	Prec@5 71.500 (67.485)
Epoch: [9][3860/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4121 (2.6053)	Prec@1 41.000 (36.762)	Prec@5 68.500 (67.487)
Epoch: [9][3870/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6900 (2.6053)	Prec@1 36.500 (36.762)	Prec@5 65.000 (67.490)
Epoch: [9][3880/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6298 (2.6052)	Prec@1 31.500 (36.763)	Prec@5 62.500 (67.491)
Epoch: [9][3890/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4990 (2.6051)	Prec@1 36.000 (36.761)	Prec@5 67.000 (67.492)
Epoch: [9][3900/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.7422 (2.6053)	Prec@1 33.000 (36.757)	Prec@5 64.500 (67.492)
Epoch: [9][3910/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5824 (2.6052)	Prec@1 39.000 (36.758)	Prec@5 67.000 (67.494)
Epoch: [9][3920/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.4504 (2.6052)	Prec@1 40.000 (36.758)	Prec@5 67.500 (67.493)
Epoch: [9][3930/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5271 (2.6053)	Prec@1 41.500 (36.757)	Prec@5 70.000 (67.493)
Epoch: [9][3940/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5974 (2.6054)	Prec@1 37.500 (36.751)	Prec@5 68.000 (67.490)
Epoch: [9][3950/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6203 (2.6056)	Prec@1 35.500 (36.747)	Prec@5 69.000 (67.489)
Epoch: [9][3960/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7854 (2.6057)	Prec@1 32.000 (36.744)	Prec@5 68.500 (67.488)
Epoch: [9][3970/9018]	Time 0.709 (0.615)	Data 0.001 (0.001)	Loss 2.7728 (2.6058)	Prec@1 33.000 (36.745)	Prec@5 67.500 (67.489)
Epoch: [9][3980/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5853 (2.6058)	Prec@1 35.500 (36.744)	Prec@5 66.000 (67.489)
Epoch: [9][3990/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5568 (2.6057)	Prec@1 37.000 (36.747)	Prec@5 69.500 (67.491)
Epoch: [9][4000/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6705 (2.6058)	Prec@1 33.500 (36.744)	Prec@5 64.500 (67.489)
Epoch: [9][4010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5709 (2.6057)	Prec@1 31.500 (36.745)	Prec@5 70.000 (67.490)
Epoch: [9][4020/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5697 (2.6057)	Prec@1 35.000 (36.742)	Prec@5 68.000 (67.489)
Epoch: [9][4030/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6303 (2.6057)	Prec@1 34.000 (36.740)	Prec@5 64.000 (67.486)
Epoch: [9][4040/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5570 (2.6058)	Prec@1 37.000 (36.738)	Prec@5 68.000 (67.482)
Epoch: [9][4050/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5667 (2.6058)	Prec@1 40.000 (36.737)	Prec@5 66.500 (67.484)
Epoch: [9][4060/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5174 (2.6059)	Prec@1 35.500 (36.735)	Prec@5 70.500 (67.480)
Epoch: [9][4070/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8144 (2.6059)	Prec@1 34.500 (36.735)	Prec@5 66.500 (67.481)
Epoch: [9][4080/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5304 (2.6058)	Prec@1 37.000 (36.737)	Prec@5 68.500 (67.485)
Epoch: [9][4090/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.7678 (2.6057)	Prec@1 35.000 (36.736)	Prec@5 63.000 (67.485)
Epoch: [9][4100/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6957 (2.6057)	Prec@1 34.500 (36.736)	Prec@5 66.500 (67.487)
Epoch: [9][4110/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5969 (2.6058)	Prec@1 36.500 (36.733)	Prec@5 69.000 (67.486)
Epoch: [9][4120/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4900 (2.6056)	Prec@1 39.500 (36.740)	Prec@5 68.500 (67.489)
Epoch: [9][4130/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6148 (2.6056)	Prec@1 34.500 (36.741)	Prec@5 68.500 (67.489)
Epoch: [9][4140/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6370 (2.6056)	Prec@1 36.500 (36.742)	Prec@5 67.500 (67.489)
Epoch: [9][4150/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6658 (2.6054)	Prec@1 36.500 (36.744)	Prec@5 67.500 (67.493)
Epoch: [9][4160/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4015 (2.6053)	Prec@1 40.500 (36.746)	Prec@5 72.500 (67.493)
Epoch: [9][4170/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7159 (2.6054)	Prec@1 35.000 (36.742)	Prec@5 65.000 (67.490)
Epoch: [9][4180/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3404 (2.6054)	Prec@1 41.500 (36.746)	Prec@5 74.000 (67.493)
Epoch: [9][4190/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7379 (2.6056)	Prec@1 36.000 (36.745)	Prec@5 68.500 (67.490)
Epoch: [9][4200/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5079 (2.6054)	Prec@1 39.000 (36.751)	Prec@5 70.500 (67.493)
Epoch: [9][4210/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5837 (2.6055)	Prec@1 38.500 (36.751)	Prec@5 65.500 (67.489)
Epoch: [9][4220/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5935 (2.6055)	Prec@1 34.000 (36.753)	Prec@5 71.000 (67.487)
Epoch: [9][4230/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.3777 (2.6053)	Prec@1 38.500 (36.759)	Prec@5 71.500 (67.489)
Epoch: [9][4240/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4376 (2.6053)	Prec@1 38.500 (36.760)	Prec@5 71.500 (67.487)
Epoch: [9][4250/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.6642 (2.6054)	Prec@1 34.000 (36.760)	Prec@5 68.500 (67.486)
Epoch: [9][4260/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7024 (2.6054)	Prec@1 37.000 (36.757)	Prec@5 62.500 (67.488)
Epoch: [9][4270/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5140 (2.6054)	Prec@1 37.500 (36.755)	Prec@5 66.500 (67.487)
Epoch: [9][4280/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6818 (2.6053)	Prec@1 38.500 (36.757)	Prec@5 66.500 (67.490)
Epoch: [9][4290/9018]	Time 0.643 (0.615)	Data 0.001 (0.001)	Loss 2.7120 (2.6053)	Prec@1 33.500 (36.759)	Prec@5 69.500 (67.490)
Epoch: [9][4300/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.5990 (2.6052)	Prec@1 36.000 (36.757)	Prec@5 66.000 (67.492)
Epoch: [9][4310/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7307 (2.6054)	Prec@1 39.500 (36.755)	Prec@5 65.500 (67.487)
Epoch: [9][4320/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5764 (2.6052)	Prec@1 34.500 (36.756)	Prec@5 65.500 (67.491)
Epoch: [9][4330/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8148 (2.6053)	Prec@1 30.500 (36.752)	Prec@5 64.000 (67.489)
Epoch: [9][4340/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6666 (2.6053)	Prec@1 36.000 (36.753)	Prec@5 70.500 (67.488)
Epoch: [9][4350/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5646 (2.6053)	Prec@1 34.500 (36.752)	Prec@5 65.500 (67.485)
Epoch: [9][4360/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8600 (2.6055)	Prec@1 34.000 (36.750)	Prec@5 63.500 (67.481)
Epoch: [9][4370/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5419 (2.6057)	Prec@1 39.500 (36.747)	Prec@5 68.500 (67.480)
Epoch: [9][4380/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.8570 (2.6056)	Prec@1 35.000 (36.748)	Prec@5 63.000 (67.479)
Epoch: [9][4390/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.2454 (2.6055)	Prec@1 45.000 (36.750)	Prec@5 74.000 (67.481)
Epoch: [9][4400/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7704 (2.6056)	Prec@1 34.000 (36.746)	Prec@5 66.500 (67.477)
Epoch: [9][4410/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7434 (2.6055)	Prec@1 37.000 (36.746)	Prec@5 67.500 (67.477)
Epoch: [9][4420/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4032 (2.6055)	Prec@1 41.500 (36.749)	Prec@5 74.500 (67.478)
Epoch: [9][4430/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6763 (2.6055)	Prec@1 36.000 (36.746)	Prec@5 67.500 (67.476)
Epoch: [9][4440/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3863 (2.6056)	Prec@1 43.500 (36.746)	Prec@5 73.000 (67.478)
Epoch: [9][4450/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5080 (2.6055)	Prec@1 42.000 (36.746)	Prec@5 68.500 (67.480)
Epoch: [9][4460/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4943 (2.6057)	Prec@1 38.500 (36.745)	Prec@5 68.500 (67.475)
Epoch: [9][4470/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6234 (2.6058)	Prec@1 34.500 (36.743)	Prec@5 62.000 (67.476)
Epoch: [9][4480/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6463 (2.6059)	Prec@1 34.000 (36.743)	Prec@5 64.500 (67.473)
Epoch: [9][4490/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.9379 (2.6061)	Prec@1 32.000 (36.740)	Prec@5 59.500 (67.468)
Epoch: [9][4500/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5896 (2.6060)	Prec@1 38.000 (36.741)	Prec@5 71.000 (67.469)
Epoch: [9][4510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.9898 (2.6061)	Prec@1 30.500 (36.742)	Prec@5 61.500 (67.468)
Epoch: [9][4520/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6939 (2.6062)	Prec@1 34.500 (36.741)	Prec@5 66.000 (67.468)
Epoch: [9][4530/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5794 (2.6063)	Prec@1 33.000 (36.737)	Prec@5 67.500 (67.466)
Epoch: [9][4540/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5219 (2.6063)	Prec@1 38.500 (36.736)	Prec@5 68.000 (67.466)
Epoch: [9][4550/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5900 (2.6063)	Prec@1 38.500 (36.735)	Prec@5 62.500 (67.465)
Epoch: [9][4560/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6310 (2.6064)	Prec@1 35.500 (36.733)	Prec@5 65.500 (67.461)
Epoch: [9][4570/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5507 (2.6064)	Prec@1 37.000 (36.734)	Prec@5 69.500 (67.461)
Epoch: [9][4580/9018]	Time 0.702 (0.615)	Data 0.001 (0.001)	Loss 2.6430 (2.6063)	Prec@1 40.500 (36.736)	Prec@5 70.000 (67.464)
Epoch: [9][4590/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6880 (2.6063)	Prec@1 34.500 (36.734)	Prec@5 66.000 (67.465)
Epoch: [9][4600/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6564 (2.6063)	Prec@1 38.000 (36.733)	Prec@5 63.500 (67.466)
Epoch: [9][4610/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.5883 (2.6063)	Prec@1 34.500 (36.733)	Prec@5 66.000 (67.467)
Epoch: [9][4620/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6831 (2.6063)	Prec@1 33.000 (36.731)	Prec@5 67.500 (67.465)
Epoch: [9][4630/9018]	Time 0.704 (0.615)	Data 0.001 (0.001)	Loss 2.6381 (2.6064)	Prec@1 30.500 (36.729)	Prec@5 67.500 (67.463)
Epoch: [9][4640/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4765 (2.6063)	Prec@1 38.000 (36.729)	Prec@5 71.000 (67.465)
Epoch: [9][4650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6260 (2.6063)	Prec@1 34.500 (36.727)	Prec@5 68.000 (67.465)
Epoch: [9][4660/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7634 (2.6065)	Prec@1 31.500 (36.722)	Prec@5 66.000 (67.462)
Epoch: [9][4670/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7821 (2.6065)	Prec@1 31.000 (36.722)	Prec@5 61.000 (67.462)
Epoch: [9][4680/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.8135 (2.6067)	Prec@1 35.500 (36.716)	Prec@5 60.000 (67.455)
Epoch: [9][4690/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6172 (2.6068)	Prec@1 40.000 (36.716)	Prec@5 65.000 (67.453)
Epoch: [9][4700/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6279 (2.6069)	Prec@1 38.500 (36.718)	Prec@5 66.500 (67.451)
Epoch: [9][4710/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6374 (2.6069)	Prec@1 34.000 (36.719)	Prec@5 64.500 (67.450)
Epoch: [9][4720/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3693 (2.6069)	Prec@1 40.500 (36.722)	Prec@5 73.500 (67.453)
Epoch: [9][4730/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.8088 (2.6070)	Prec@1 31.500 (36.718)	Prec@5 61.000 (67.451)
Epoch: [9][4740/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3430 (2.6070)	Prec@1 42.000 (36.717)	Prec@5 71.500 (67.451)
Epoch: [9][4750/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6750 (2.6068)	Prec@1 36.500 (36.719)	Prec@5 64.000 (67.454)
Epoch: [9][4760/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4459 (2.6068)	Prec@1 39.500 (36.724)	Prec@5 72.500 (67.456)
Epoch: [9][4770/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6771 (2.6068)	Prec@1 34.000 (36.725)	Prec@5 64.000 (67.457)
Epoch: [9][4780/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5506 (2.6067)	Prec@1 37.000 (36.725)	Prec@5 67.000 (67.455)
Epoch: [9][4790/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5304 (2.6066)	Prec@1 37.000 (36.727)	Prec@5 68.500 (67.457)
Epoch: [9][4800/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6911 (2.6066)	Prec@1 29.000 (36.729)	Prec@5 68.000 (67.459)
Epoch: [9][4810/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6116 (2.6068)	Prec@1 39.500 (36.726)	Prec@5 69.500 (67.454)
Epoch: [9][4820/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6622 (2.6067)	Prec@1 35.500 (36.726)	Prec@5 68.000 (67.454)
Epoch: [9][4830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4523 (2.6066)	Prec@1 39.500 (36.730)	Prec@5 70.000 (67.457)
Epoch: [9][4840/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6115 (2.6067)	Prec@1 34.500 (36.730)	Prec@5 67.500 (67.456)
Epoch: [9][4850/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6669 (2.6067)	Prec@1 33.500 (36.729)	Prec@5 67.000 (67.456)
Epoch: [9][4860/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5829 (2.6066)	Prec@1 41.000 (36.732)	Prec@5 67.500 (67.457)
Epoch: [9][4870/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6944 (2.6066)	Prec@1 35.000 (36.729)	Prec@5 70.000 (67.457)
Epoch: [9][4880/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4747 (2.6067)	Prec@1 36.500 (36.725)	Prec@5 70.500 (67.454)
Epoch: [9][4890/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6582 (2.6067)	Prec@1 36.000 (36.727)	Prec@5 65.500 (67.452)
Epoch: [9][4900/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5721 (2.6066)	Prec@1 37.500 (36.730)	Prec@5 68.000 (67.453)
Epoch: [9][4910/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.7450 (2.6066)	Prec@1 33.500 (36.731)	Prec@5 64.000 (67.453)
Epoch: [9][4920/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4581 (2.6066)	Prec@1 43.500 (36.732)	Prec@5 72.500 (67.454)
Epoch: [9][4930/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6198 (2.6066)	Prec@1 36.500 (36.732)	Prec@5 65.000 (67.454)
Epoch: [9][4940/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3815 (2.6066)	Prec@1 41.000 (36.729)	Prec@5 70.500 (67.454)
Epoch: [9][4950/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7183 (2.6066)	Prec@1 33.000 (36.730)	Prec@5 66.000 (67.451)
Epoch: [9][4960/9018]	Time 0.747 (0.615)	Data 0.001 (0.001)	Loss 2.5453 (2.6068)	Prec@1 37.500 (36.729)	Prec@5 68.000 (67.448)
Epoch: [9][4970/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7666 (2.6067)	Prec@1 34.000 (36.730)	Prec@5 62.500 (67.446)
Epoch: [9][4980/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7665 (2.6067)	Prec@1 32.000 (36.726)	Prec@5 59.000 (67.447)
Epoch: [9][4990/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4285 (2.6067)	Prec@1 44.500 (36.727)	Prec@5 67.500 (67.446)
Epoch: [9][5000/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5072 (2.6066)	Prec@1 40.000 (36.730)	Prec@5 68.500 (67.449)
Epoch: [9][5010/9018]	Time 0.643 (0.615)	Data 0.001 (0.001)	Loss 2.6491 (2.6065)	Prec@1 35.500 (36.733)	Prec@5 64.500 (67.452)
Epoch: [9][5020/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5171 (2.6065)	Prec@1 37.000 (36.733)	Prec@5 72.500 (67.452)
Epoch: [9][5030/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6487 (2.6065)	Prec@1 39.000 (36.736)	Prec@5 67.500 (67.451)
Epoch: [9][5040/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5712 (2.6065)	Prec@1 40.500 (36.737)	Prec@5 66.000 (67.448)
Epoch: [9][5050/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4809 (2.6065)	Prec@1 40.500 (36.736)	Prec@5 72.000 (67.451)
Epoch: [9][5060/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5035 (2.6064)	Prec@1 45.000 (36.735)	Prec@5 70.500 (67.455)
Epoch: [9][5070/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4706 (2.6063)	Prec@1 42.500 (36.738)	Prec@5 72.500 (67.457)
Epoch: [9][5080/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5995 (2.6063)	Prec@1 40.000 (36.739)	Prec@5 63.500 (67.458)
Epoch: [9][5090/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6744 (2.6063)	Prec@1 34.500 (36.741)	Prec@5 66.500 (67.456)
Epoch: [9][5100/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5005 (2.6063)	Prec@1 40.000 (36.742)	Prec@5 68.500 (67.456)
Epoch: [9][5110/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3726 (2.6064)	Prec@1 39.000 (36.741)	Prec@5 74.000 (67.453)
Epoch: [9][5120/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6278 (2.6064)	Prec@1 31.500 (36.740)	Prec@5 67.500 (67.456)
Epoch: [9][5130/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7447 (2.6063)	Prec@1 35.000 (36.743)	Prec@5 65.500 (67.455)
Epoch: [9][5140/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5178 (2.6064)	Prec@1 35.000 (36.741)	Prec@5 66.500 (67.454)
Epoch: [9][5150/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4492 (2.6063)	Prec@1 42.500 (36.744)	Prec@5 69.500 (67.457)
Epoch: [9][5160/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6454 (2.6064)	Prec@1 39.000 (36.738)	Prec@5 67.000 (67.453)
Epoch: [9][5170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3815 (2.6063)	Prec@1 41.000 (36.741)	Prec@5 72.000 (67.456)
Epoch: [9][5180/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6491 (2.6064)	Prec@1 34.000 (36.737)	Prec@5 65.500 (67.454)
Epoch: [9][5190/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7580 (2.6063)	Prec@1 31.500 (36.738)	Prec@5 64.500 (67.457)
Epoch: [9][5200/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5257 (2.6063)	Prec@1 34.500 (36.734)	Prec@5 70.000 (67.457)
Epoch: [9][5210/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4398 (2.6063)	Prec@1 44.500 (36.737)	Prec@5 72.000 (67.459)
Epoch: [9][5220/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4388 (2.6063)	Prec@1 40.000 (36.739)	Prec@5 69.000 (67.461)
Epoch: [9][5230/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5797 (2.6064)	Prec@1 40.500 (36.738)	Prec@5 65.500 (67.456)
Epoch: [9][5240/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.7384 (2.6065)	Prec@1 31.000 (36.735)	Prec@5 63.500 (67.453)
Epoch: [9][5250/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4920 (2.6066)	Prec@1 41.000 (36.735)	Prec@5 69.000 (67.450)
Epoch: [9][5260/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5209 (2.6067)	Prec@1 41.500 (36.734)	Prec@5 69.000 (67.448)
Epoch: [9][5270/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5607 (2.6066)	Prec@1 40.500 (36.738)	Prec@5 70.000 (67.448)
Epoch: [9][5280/9018]	Time 0.629 (0.615)	Data 0.002 (0.001)	Loss 2.5651 (2.6066)	Prec@1 38.000 (36.738)	Prec@5 69.500 (67.447)
Epoch: [9][5290/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.6938 (2.6066)	Prec@1 38.000 (36.737)	Prec@5 69.500 (67.448)
Epoch: [9][5300/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7893 (2.6067)	Prec@1 34.000 (36.738)	Prec@5 62.500 (67.446)
Epoch: [9][5310/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5496 (2.6067)	Prec@1 41.000 (36.739)	Prec@5 70.000 (67.449)
Epoch: [9][5320/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5491 (2.6066)	Prec@1 39.000 (36.741)	Prec@5 70.000 (67.450)
Epoch: [9][5330/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6784 (2.6066)	Prec@1 34.500 (36.741)	Prec@5 66.500 (67.450)
Epoch: [9][5340/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4845 (2.6065)	Prec@1 36.500 (36.742)	Prec@5 70.000 (67.452)
Epoch: [9][5350/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8329 (2.6065)	Prec@1 36.500 (36.743)	Prec@5 65.500 (67.452)
Epoch: [9][5360/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7994 (2.6065)	Prec@1 35.000 (36.741)	Prec@5 63.500 (67.451)
Epoch: [9][5370/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6378 (2.6065)	Prec@1 37.000 (36.741)	Prec@5 65.500 (67.453)
Epoch: [9][5380/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5983 (2.6066)	Prec@1 36.000 (36.739)	Prec@5 67.000 (67.452)
Epoch: [9][5390/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6041 (2.6066)	Prec@1 38.000 (36.738)	Prec@5 66.500 (67.452)
Epoch: [9][5400/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7194 (2.6066)	Prec@1 34.500 (36.739)	Prec@5 65.000 (67.453)
Epoch: [9][5410/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5516 (2.6067)	Prec@1 35.500 (36.737)	Prec@5 67.500 (67.452)
Epoch: [9][5420/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6109 (2.6065)	Prec@1 35.000 (36.739)	Prec@5 70.000 (67.454)
Epoch: [9][5430/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.7077 (2.6064)	Prec@1 35.000 (36.741)	Prec@5 63.000 (67.456)
Epoch: [9][5440/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4796 (2.6064)	Prec@1 40.500 (36.742)	Prec@5 66.000 (67.456)
Epoch: [9][5450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7258 (2.6065)	Prec@1 33.000 (36.742)	Prec@5 69.000 (67.456)
Epoch: [9][5460/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5193 (2.6065)	Prec@1 40.000 (36.739)	Prec@5 68.000 (67.456)
Epoch: [9][5470/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7262 (2.6065)	Prec@1 35.500 (36.739)	Prec@5 66.000 (67.457)
Epoch: [9][5480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6267 (2.6066)	Prec@1 39.500 (36.739)	Prec@5 69.500 (67.456)
Epoch: [9][5490/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4954 (2.6067)	Prec@1 39.500 (36.738)	Prec@5 68.000 (67.454)
Epoch: [9][5500/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7726 (2.6067)	Prec@1 33.500 (36.738)	Prec@5 65.000 (67.456)
Epoch: [9][5510/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6454 (2.6067)	Prec@1 34.000 (36.738)	Prec@5 64.500 (67.455)
Epoch: [9][5520/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5673 (2.6067)	Prec@1 39.500 (36.737)	Prec@5 64.500 (67.452)
Epoch: [9][5530/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7341 (2.6068)	Prec@1 33.500 (36.735)	Prec@5 66.500 (67.450)
Epoch: [9][5540/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4611 (2.6068)	Prec@1 42.000 (36.736)	Prec@5 69.000 (67.450)
Epoch: [9][5550/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4897 (2.6068)	Prec@1 41.500 (36.736)	Prec@5 67.500 (67.452)
Epoch: [9][5560/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.7664 (2.6068)	Prec@1 34.000 (36.738)	Prec@5 61.500 (67.451)
Epoch: [9][5570/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.5405 (2.6069)	Prec@1 38.000 (36.735)	Prec@5 68.000 (67.448)
Epoch: [9][5580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5055 (2.6068)	Prec@1 37.000 (36.738)	Prec@5 70.000 (67.451)
Epoch: [9][5590/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3585 (2.6067)	Prec@1 40.500 (36.739)	Prec@5 69.000 (67.451)
Epoch: [9][5600/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7093 (2.6068)	Prec@1 39.500 (36.738)	Prec@5 65.500 (67.450)
Epoch: [9][5610/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4982 (2.6068)	Prec@1 36.000 (36.740)	Prec@5 68.500 (67.448)
Epoch: [9][5620/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.6354 (2.6069)	Prec@1 35.000 (36.740)	Prec@5 67.000 (67.444)
Epoch: [9][5630/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4535 (2.6069)	Prec@1 38.500 (36.742)	Prec@5 69.000 (67.445)
Epoch: [9][5640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4134 (2.6068)	Prec@1 38.000 (36.741)	Prec@5 69.500 (67.445)
Epoch: [9][5650/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.8503 (2.6068)	Prec@1 32.500 (36.739)	Prec@5 64.000 (67.445)
Epoch: [9][5660/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5289 (2.6069)	Prec@1 34.500 (36.736)	Prec@5 69.000 (67.443)
Epoch: [9][5670/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4574 (2.6070)	Prec@1 40.000 (36.735)	Prec@5 66.000 (67.441)
Epoch: [9][5680/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3260 (2.6068)	Prec@1 44.000 (36.738)	Prec@5 71.500 (67.444)
Epoch: [9][5690/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6023 (2.6068)	Prec@1 37.000 (36.740)	Prec@5 66.000 (67.447)
Epoch: [9][5700/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6458 (2.6066)	Prec@1 36.500 (36.744)	Prec@5 66.500 (67.449)
Epoch: [9][5710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3391 (2.6065)	Prec@1 43.500 (36.746)	Prec@5 73.000 (67.451)
Epoch: [9][5720/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6987 (2.6065)	Prec@1 36.000 (36.745)	Prec@5 65.000 (67.452)
Epoch: [9][5730/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.5445 (2.6064)	Prec@1 42.500 (36.745)	Prec@5 67.500 (67.453)
Epoch: [9][5740/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7092 (2.6063)	Prec@1 33.000 (36.746)	Prec@5 65.000 (67.456)
Epoch: [9][5750/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5306 (2.6063)	Prec@1 44.000 (36.749)	Prec@5 70.500 (67.458)
Epoch: [9][5760/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5417 (2.6063)	Prec@1 38.000 (36.748)	Prec@5 68.500 (67.454)
Epoch: [9][5770/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7211 (2.6064)	Prec@1 35.000 (36.746)	Prec@5 66.500 (67.455)
Epoch: [9][5780/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7133 (2.6065)	Prec@1 38.500 (36.745)	Prec@5 64.000 (67.450)
Epoch: [9][5790/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4695 (2.6066)	Prec@1 37.000 (36.742)	Prec@5 72.500 (67.447)
Epoch: [9][5800/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7375 (2.6067)	Prec@1 29.500 (36.738)	Prec@5 63.000 (67.446)
Epoch: [9][5810/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.6570 (2.6066)	Prec@1 39.000 (36.741)	Prec@5 67.500 (67.447)
Epoch: [9][5820/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7727 (2.6067)	Prec@1 37.000 (36.740)	Prec@5 60.500 (67.445)
Epoch: [9][5830/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4908 (2.6065)	Prec@1 39.500 (36.744)	Prec@5 69.000 (67.450)
Epoch: [9][5840/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5405 (2.6066)	Prec@1 37.500 (36.743)	Prec@5 71.500 (67.450)
Epoch: [9][5850/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6115 (2.6066)	Prec@1 31.500 (36.742)	Prec@5 67.500 (67.451)
Epoch: [9][5860/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6868 (2.6068)	Prec@1 36.000 (36.738)	Prec@5 68.500 (67.449)
Epoch: [9][5870/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5798 (2.6069)	Prec@1 36.000 (36.734)	Prec@5 68.500 (67.448)
Epoch: [9][5880/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4985 (2.6069)	Prec@1 42.000 (36.734)	Prec@5 72.000 (67.449)
Epoch: [9][5890/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5575 (2.6067)	Prec@1 37.500 (36.737)	Prec@5 72.000 (67.452)
Epoch: [9][5900/9018]	Time 0.699 (0.615)	Data 0.001 (0.001)	Loss 2.6317 (2.6068)	Prec@1 30.500 (36.734)	Prec@5 69.500 (67.451)
Epoch: [9][5910/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.4911 (2.6067)	Prec@1 42.500 (36.737)	Prec@5 69.500 (67.455)
Epoch: [9][5920/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5437 (2.6066)	Prec@1 37.500 (36.736)	Prec@5 67.000 (67.455)
Epoch: [9][5930/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7056 (2.6066)	Prec@1 33.500 (36.736)	Prec@5 69.000 (67.455)
Epoch: [9][5940/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7167 (2.6066)	Prec@1 33.000 (36.737)	Prec@5 65.000 (67.459)
Epoch: [9][5950/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.5984 (2.6065)	Prec@1 36.500 (36.737)	Prec@5 65.500 (67.461)
Epoch: [9][5960/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7333 (2.6066)	Prec@1 34.500 (36.738)	Prec@5 63.500 (67.460)
Epoch: [9][5970/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5085 (2.6064)	Prec@1 36.500 (36.740)	Prec@5 70.500 (67.464)
Epoch: [9][5980/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5277 (2.6064)	Prec@1 35.500 (36.743)	Prec@5 66.000 (67.463)
Epoch: [9][5990/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7858 (2.6065)	Prec@1 32.000 (36.739)	Prec@5 61.500 (67.461)
Epoch: [9][6000/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6598 (2.6065)	Prec@1 34.500 (36.737)	Prec@5 70.500 (67.458)
Epoch: [9][6010/9018]	Time 0.612 (0.615)	Data 0.003 (0.001)	Loss 2.6641 (2.6065)	Prec@1 30.000 (36.736)	Prec@5 66.500 (67.458)
Epoch: [9][6020/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5492 (2.6064)	Prec@1 37.500 (36.741)	Prec@5 65.500 (67.462)
Epoch: [9][6030/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7170 (2.6064)	Prec@1 36.500 (36.741)	Prec@5 68.000 (67.464)
Epoch: [9][6040/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3864 (2.6063)	Prec@1 40.500 (36.742)	Prec@5 73.500 (67.467)
Epoch: [9][6050/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4249 (2.6062)	Prec@1 36.500 (36.744)	Prec@5 73.500 (67.468)
Epoch: [9][6060/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6160 (2.6064)	Prec@1 35.500 (36.742)	Prec@5 68.500 (67.465)
Epoch: [9][6070/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9697 (2.6064)	Prec@1 29.500 (36.741)	Prec@5 61.000 (67.465)
Epoch: [9][6080/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7301 (2.6064)	Prec@1 29.500 (36.741)	Prec@5 65.500 (67.465)
Epoch: [9][6090/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7481 (2.6064)	Prec@1 33.000 (36.742)	Prec@5 65.000 (67.467)
Epoch: [9][6100/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6557 (2.6063)	Prec@1 34.500 (36.744)	Prec@5 69.500 (67.469)
Epoch: [9][6110/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5484 (2.6063)	Prec@1 34.000 (36.744)	Prec@5 67.500 (67.469)
Epoch: [9][6120/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.9910 (2.6063)	Prec@1 29.000 (36.741)	Prec@5 59.500 (67.468)
Epoch: [9][6130/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6157 (2.6063)	Prec@1 36.000 (36.741)	Prec@5 67.500 (67.467)
Epoch: [9][6140/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6622 (2.6063)	Prec@1 36.500 (36.745)	Prec@5 65.500 (67.467)
Epoch: [9][6150/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7744 (2.6064)	Prec@1 33.500 (36.744)	Prec@5 61.500 (67.465)
Epoch: [9][6160/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7084 (2.6065)	Prec@1 38.000 (36.743)	Prec@5 61.500 (67.462)
Epoch: [9][6170/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.3999 (2.6065)	Prec@1 37.500 (36.745)	Prec@5 74.000 (67.464)
Epoch: [9][6180/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6814 (2.6064)	Prec@1 37.500 (36.745)	Prec@5 69.000 (67.465)
Epoch: [9][6190/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4620 (2.6063)	Prec@1 41.000 (36.746)	Prec@5 70.500 (67.469)
Epoch: [9][6200/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6490 (2.6063)	Prec@1 35.000 (36.745)	Prec@5 70.000 (67.470)
Epoch: [9][6210/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.3552 (2.6062)	Prec@1 41.500 (36.746)	Prec@5 70.000 (67.471)
Epoch: [9][6220/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4812 (2.6063)	Prec@1 41.500 (36.746)	Prec@5 69.500 (67.470)
Epoch: [9][6230/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.4540 (2.6063)	Prec@1 35.500 (36.744)	Prec@5 72.500 (67.470)
Epoch: [9][6240/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7261 (2.6064)	Prec@1 34.000 (36.741)	Prec@5 64.000 (67.467)
Epoch: [9][6250/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7663 (2.6065)	Prec@1 35.500 (36.740)	Prec@5 65.000 (67.466)
Epoch: [9][6260/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6759 (2.6064)	Prec@1 34.500 (36.742)	Prec@5 68.000 (67.469)
Epoch: [9][6270/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7497 (2.6064)	Prec@1 32.500 (36.743)	Prec@5 64.000 (67.468)
Epoch: [9][6280/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.5875 (2.6065)	Prec@1 38.000 (36.743)	Prec@5 71.000 (67.466)
Epoch: [9][6290/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5380 (2.6065)	Prec@1 37.500 (36.741)	Prec@5 68.500 (67.465)
Epoch: [9][6300/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8764 (2.6066)	Prec@1 30.000 (36.739)	Prec@5 60.000 (67.464)
Epoch: [9][6310/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5996 (2.6067)	Prec@1 35.500 (36.736)	Prec@5 66.500 (67.461)
Epoch: [9][6320/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5352 (2.6066)	Prec@1 37.500 (36.736)	Prec@5 65.500 (67.462)
Epoch: [9][6330/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6096 (2.6066)	Prec@1 36.500 (36.735)	Prec@5 67.000 (67.463)
Epoch: [9][6340/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5151 (2.6066)	Prec@1 38.000 (36.733)	Prec@5 69.000 (67.464)
Epoch: [9][6350/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6231 (2.6066)	Prec@1 39.000 (36.735)	Prec@5 68.500 (67.464)
Epoch: [9][6360/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7504 (2.6067)	Prec@1 35.000 (36.734)	Prec@5 67.500 (67.463)
Epoch: [9][6370/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8976 (2.6067)	Prec@1 31.500 (36.733)	Prec@5 64.000 (67.462)
Epoch: [9][6380/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4320 (2.6067)	Prec@1 42.500 (36.734)	Prec@5 70.000 (67.464)
Epoch: [9][6390/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7647 (2.6066)	Prec@1 33.500 (36.735)	Prec@5 67.500 (67.465)
Epoch: [9][6400/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7222 (2.6066)	Prec@1 36.500 (36.735)	Prec@5 66.000 (67.466)
Epoch: [9][6410/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3945 (2.6067)	Prec@1 41.000 (36.735)	Prec@5 76.000 (67.464)
Epoch: [9][6420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7303 (2.6066)	Prec@1 35.500 (36.737)	Prec@5 65.000 (67.465)
Epoch: [9][6430/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7162 (2.6066)	Prec@1 28.000 (36.737)	Prec@5 64.000 (67.466)
Epoch: [9][6440/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4113 (2.6066)	Prec@1 37.500 (36.734)	Prec@5 74.000 (67.464)
Epoch: [9][6450/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5093 (2.6066)	Prec@1 42.000 (36.735)	Prec@5 69.000 (67.465)
Epoch: [9][6460/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6032 (2.6066)	Prec@1 38.000 (36.735)	Prec@5 67.000 (67.464)
Epoch: [9][6470/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5415 (2.6066)	Prec@1 37.000 (36.737)	Prec@5 72.000 (67.464)
Epoch: [9][6480/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6420 (2.6067)	Prec@1 39.500 (36.735)	Prec@5 69.000 (67.462)
Epoch: [9][6490/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7164 (2.6068)	Prec@1 31.000 (36.733)	Prec@5 64.500 (67.460)
Epoch: [9][6500/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6611 (2.6068)	Prec@1 36.500 (36.734)	Prec@5 68.500 (67.459)
Epoch: [9][6510/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7489 (2.6067)	Prec@1 33.500 (36.733)	Prec@5 61.500 (67.463)
Epoch: [9][6520/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7452 (2.6068)	Prec@1 32.500 (36.732)	Prec@5 65.500 (67.461)
Epoch: [9][6530/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.9592 (2.6068)	Prec@1 33.000 (36.732)	Prec@5 59.500 (67.460)
Epoch: [9][6540/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7314 (2.6069)	Prec@1 35.000 (36.732)	Prec@5 64.500 (67.459)
Epoch: [9][6550/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4257 (2.6069)	Prec@1 44.500 (36.733)	Prec@5 72.500 (67.459)
Epoch: [9][6560/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.5020 (2.6069)	Prec@1 37.000 (36.734)	Prec@5 74.000 (67.459)
Epoch: [9][6570/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6241 (2.6069)	Prec@1 35.500 (36.736)	Prec@5 64.000 (67.458)
Epoch: [9][6580/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5967 (2.6068)	Prec@1 36.000 (36.737)	Prec@5 69.500 (67.460)
Epoch: [9][6590/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5804 (2.6068)	Prec@1 37.500 (36.738)	Prec@5 70.000 (67.461)
Epoch: [9][6600/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7369 (2.6068)	Prec@1 30.000 (36.736)	Prec@5 64.500 (67.461)
Epoch: [9][6610/9018]	Time 0.691 (0.615)	Data 0.001 (0.001)	Loss 2.7395 (2.6069)	Prec@1 35.500 (36.737)	Prec@5 64.500 (67.460)
Epoch: [9][6620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5622 (2.6069)	Prec@1 39.000 (36.737)	Prec@5 64.500 (67.459)
Epoch: [9][6630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5807 (2.6069)	Prec@1 33.500 (36.735)	Prec@5 68.500 (67.458)
Epoch: [9][6640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6656 (2.6068)	Prec@1 40.000 (36.737)	Prec@5 69.500 (67.460)
Epoch: [9][6650/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5589 (2.6068)	Prec@1 38.000 (36.738)	Prec@5 68.000 (67.459)
Epoch: [9][6660/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6482 (2.6068)	Prec@1 36.500 (36.738)	Prec@5 68.000 (67.457)
Epoch: [9][6670/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7380 (2.6068)	Prec@1 36.500 (36.739)	Prec@5 66.000 (67.457)
Epoch: [9][6680/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6033 (2.6068)	Prec@1 38.000 (36.737)	Prec@5 70.000 (67.459)
Epoch: [9][6690/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7829 (2.6068)	Prec@1 38.000 (36.737)	Prec@5 63.500 (67.457)
Epoch: [9][6700/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5727 (2.6069)	Prec@1 34.500 (36.735)	Prec@5 68.000 (67.456)
Epoch: [9][6710/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8486 (2.6069)	Prec@1 30.500 (36.734)	Prec@5 66.000 (67.456)
Epoch: [9][6720/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5569 (2.6068)	Prec@1 36.500 (36.736)	Prec@5 65.000 (67.457)
Epoch: [9][6730/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7701 (2.6068)	Prec@1 35.000 (36.740)	Prec@5 64.500 (67.460)
Epoch: [9][6740/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6693 (2.6068)	Prec@1 39.500 (36.740)	Prec@5 66.000 (67.457)
Epoch: [9][6750/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5929 (2.6069)	Prec@1 39.500 (36.741)	Prec@5 67.500 (67.457)
Epoch: [9][6760/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6586 (2.6069)	Prec@1 36.500 (36.742)	Prec@5 66.000 (67.455)
Epoch: [9][6770/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5722 (2.6068)	Prec@1 37.500 (36.744)	Prec@5 69.000 (67.455)
Epoch: [9][6780/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8291 (2.6068)	Prec@1 31.500 (36.745)	Prec@5 64.000 (67.456)
Epoch: [9][6790/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5697 (2.6067)	Prec@1 37.000 (36.747)	Prec@5 67.500 (67.457)
Epoch: [9][6800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5689 (2.6066)	Prec@1 42.500 (36.751)	Prec@5 68.000 (67.457)
Epoch: [9][6810/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6334 (2.6067)	Prec@1 38.000 (36.750)	Prec@5 67.500 (67.455)
Epoch: [9][6820/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4770 (2.6067)	Prec@1 39.500 (36.748)	Prec@5 66.500 (67.454)
Epoch: [9][6830/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7208 (2.6067)	Prec@1 36.500 (36.750)	Prec@5 66.500 (67.454)
Epoch: [9][6840/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6077 (2.6068)	Prec@1 34.000 (36.746)	Prec@5 66.500 (67.452)
Epoch: [9][6850/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5300 (2.6069)	Prec@1 37.000 (36.743)	Prec@5 71.000 (67.450)
Epoch: [9][6860/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4941 (2.6069)	Prec@1 40.500 (36.743)	Prec@5 67.500 (67.451)
Epoch: [9][6870/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.6873 (2.6070)	Prec@1 37.500 (36.742)	Prec@5 66.000 (67.449)
Epoch: [9][6880/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5470 (2.6069)	Prec@1 40.500 (36.742)	Prec@5 66.500 (67.451)
Epoch: [9][6890/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.4881 (2.6069)	Prec@1 41.000 (36.744)	Prec@5 69.000 (67.451)
Epoch: [9][6900/9018]	Time 0.631 (0.615)	Data 0.003 (0.001)	Loss 2.4680 (2.6069)	Prec@1 39.500 (36.744)	Prec@5 67.500 (67.450)
Epoch: [9][6910/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6068 (2.6069)	Prec@1 37.500 (36.743)	Prec@5 69.500 (67.450)
Epoch: [9][6920/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6432 (2.6069)	Prec@1 34.500 (36.742)	Prec@5 64.000 (67.450)
Epoch: [9][6930/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7090 (2.6070)	Prec@1 32.000 (36.739)	Prec@5 68.000 (67.448)
Epoch: [9][6940/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.7472 (2.6071)	Prec@1 33.000 (36.739)	Prec@5 66.000 (67.447)
Epoch: [9][6950/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.5850 (2.6071)	Prec@1 35.500 (36.739)	Prec@5 70.000 (67.448)
Epoch: [9][6960/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8043 (2.6072)	Prec@1 31.500 (36.735)	Prec@5 61.500 (67.447)
Epoch: [9][6970/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5457 (2.6073)	Prec@1 39.000 (36.733)	Prec@5 65.000 (67.444)
Epoch: [9][6980/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4430 (2.6073)	Prec@1 43.000 (36.734)	Prec@5 69.000 (67.444)
Epoch: [9][6990/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6874 (2.6074)	Prec@1 34.500 (36.732)	Prec@5 63.500 (67.444)
Epoch: [9][7000/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4362 (2.6074)	Prec@1 36.500 (36.733)	Prec@5 70.500 (67.445)
Epoch: [9][7010/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4886 (2.6074)	Prec@1 37.000 (36.732)	Prec@5 69.500 (67.444)
Epoch: [9][7020/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6980 (2.6075)	Prec@1 32.500 (36.729)	Prec@5 69.000 (67.443)
Epoch: [9][7030/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4339 (2.6075)	Prec@1 41.500 (36.730)	Prec@5 72.500 (67.445)
Epoch: [9][7040/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5963 (2.6076)	Prec@1 41.000 (36.730)	Prec@5 69.000 (67.443)
Epoch: [9][7050/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4578 (2.6075)	Prec@1 34.500 (36.728)	Prec@5 68.000 (67.443)
Epoch: [9][7060/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3260 (2.6075)	Prec@1 37.000 (36.728)	Prec@5 76.500 (67.443)
Epoch: [9][7070/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5487 (2.6074)	Prec@1 37.500 (36.728)	Prec@5 69.000 (67.445)
Epoch: [9][7080/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5189 (2.6074)	Prec@1 34.000 (36.728)	Prec@5 73.000 (67.446)
Epoch: [9][7090/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8785 (2.6074)	Prec@1 35.500 (36.729)	Prec@5 62.000 (67.446)
Epoch: [9][7100/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5071 (2.6075)	Prec@1 32.500 (36.726)	Prec@5 69.500 (67.445)
Epoch: [9][7110/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7124 (2.6075)	Prec@1 36.000 (36.724)	Prec@5 62.500 (67.445)
Epoch: [9][7120/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6101 (2.6075)	Prec@1 35.500 (36.724)	Prec@5 64.000 (67.445)
Epoch: [9][7130/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.8078 (2.6074)	Prec@1 32.500 (36.722)	Prec@5 63.500 (67.445)
Epoch: [9][7140/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6803 (2.6075)	Prec@1 35.000 (36.723)	Prec@5 62.000 (67.444)
Epoch: [9][7150/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9969 (2.6075)	Prec@1 28.500 (36.720)	Prec@5 61.500 (67.444)
Epoch: [9][7160/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2874 (2.6075)	Prec@1 43.500 (36.722)	Prec@5 70.500 (67.444)
Epoch: [9][7170/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5371 (2.6076)	Prec@1 42.000 (36.720)	Prec@5 67.000 (67.443)
Epoch: [9][7180/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.9548 (2.6076)	Prec@1 31.000 (36.721)	Prec@5 61.000 (67.442)
Epoch: [9][7190/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7270 (2.6075)	Prec@1 35.000 (36.723)	Prec@5 64.500 (67.443)
Epoch: [9][7200/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5861 (2.6075)	Prec@1 40.500 (36.724)	Prec@5 65.000 (67.445)
Epoch: [9][7210/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7294 (2.6076)	Prec@1 38.500 (36.723)	Prec@5 66.500 (67.444)
Epoch: [9][7220/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.5718 (2.6076)	Prec@1 39.000 (36.723)	Prec@5 68.000 (67.444)
Epoch: [9][7230/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6104 (2.6076)	Prec@1 37.500 (36.722)	Prec@5 66.500 (67.443)
Epoch: [9][7240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6282 (2.6077)	Prec@1 39.000 (36.723)	Prec@5 67.000 (67.442)
Epoch: [9][7250/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7154 (2.6077)	Prec@1 34.500 (36.721)	Prec@5 68.000 (67.441)
Epoch: [9][7260/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6754 (2.6078)	Prec@1 33.000 (36.720)	Prec@5 67.500 (67.441)
Epoch: [9][7270/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.7536 (2.6079)	Prec@1 33.500 (36.718)	Prec@5 70.500 (67.440)
Epoch: [9][7280/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5064 (2.6079)	Prec@1 40.000 (36.721)	Prec@5 69.500 (67.439)
Epoch: [9][7290/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4132 (2.6077)	Prec@1 39.500 (36.723)	Prec@5 70.500 (67.440)
Epoch: [9][7300/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7383 (2.6079)	Prec@1 38.000 (36.722)	Prec@5 67.000 (67.439)
Epoch: [9][7310/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7193 (2.6079)	Prec@1 33.000 (36.721)	Prec@5 66.000 (67.438)
Epoch: [9][7320/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5846 (2.6079)	Prec@1 37.500 (36.722)	Prec@5 68.500 (67.438)
Epoch: [9][7330/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7402 (2.6079)	Prec@1 36.500 (36.721)	Prec@5 65.500 (67.438)
Epoch: [9][7340/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5748 (2.6080)	Prec@1 38.500 (36.720)	Prec@5 66.500 (67.437)
Epoch: [9][7350/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8724 (2.6080)	Prec@1 33.000 (36.719)	Prec@5 60.000 (67.437)
Epoch: [9][7360/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4506 (2.6081)	Prec@1 40.500 (36.719)	Prec@5 69.500 (67.437)
Epoch: [9][7370/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4592 (2.6081)	Prec@1 41.000 (36.718)	Prec@5 73.000 (67.436)
Epoch: [9][7380/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7903 (2.6082)	Prec@1 33.000 (36.715)	Prec@5 64.500 (67.435)
Epoch: [9][7390/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8678 (2.6083)	Prec@1 30.000 (36.714)	Prec@5 64.000 (67.433)
Epoch: [9][7400/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7536 (2.6084)	Prec@1 31.500 (36.711)	Prec@5 64.500 (67.431)
Epoch: [9][7410/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6963 (2.6084)	Prec@1 35.000 (36.713)	Prec@5 63.500 (67.431)
Epoch: [9][7420/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6380 (2.6085)	Prec@1 35.000 (36.709)	Prec@5 63.500 (67.429)
Epoch: [9][7430/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.6429 (2.6085)	Prec@1 35.500 (36.709)	Prec@5 66.000 (67.429)
Epoch: [9][7440/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4743 (2.6084)	Prec@1 35.500 (36.710)	Prec@5 75.000 (67.430)
Epoch: [9][7450/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5435 (2.6085)	Prec@1 36.500 (36.711)	Prec@5 65.500 (67.429)
Epoch: [9][7460/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7333 (2.6085)	Prec@1 34.500 (36.711)	Prec@5 66.500 (67.429)
Epoch: [9][7470/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6141 (2.6085)	Prec@1 38.000 (36.711)	Prec@5 65.000 (67.428)
Epoch: [9][7480/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4951 (2.6085)	Prec@1 39.000 (36.711)	Prec@5 69.000 (67.428)
Epoch: [9][7490/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5047 (2.6085)	Prec@1 40.000 (36.711)	Prec@5 69.500 (67.427)
Epoch: [9][7500/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7029 (2.6085)	Prec@1 31.000 (36.710)	Prec@5 67.500 (67.427)
Epoch: [9][7510/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7337 (2.6085)	Prec@1 34.000 (36.710)	Prec@5 65.500 (67.428)
Epoch: [9][7520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5604 (2.6085)	Prec@1 37.500 (36.709)	Prec@5 70.000 (67.426)
Epoch: [9][7530/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7082 (2.6085)	Prec@1 34.000 (36.708)	Prec@5 65.500 (67.426)
Epoch: [9][7540/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6975 (2.6084)	Prec@1 32.500 (36.712)	Prec@5 68.000 (67.428)
Epoch: [9][7550/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.6471 (2.6085)	Prec@1 39.000 (36.710)	Prec@5 62.500 (67.425)
Epoch: [9][7560/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7566 (2.6087)	Prec@1 33.500 (36.706)	Prec@5 63.000 (67.422)
Epoch: [9][7570/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4687 (2.6086)	Prec@1 36.500 (36.705)	Prec@5 69.500 (67.422)
Epoch: [9][7580/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4233 (2.6086)	Prec@1 37.500 (36.704)	Prec@5 69.000 (67.422)
Epoch: [9][7590/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5743 (2.6087)	Prec@1 37.500 (36.705)	Prec@5 68.000 (67.420)
Epoch: [9][7600/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.6521 (2.6086)	Prec@1 36.000 (36.704)	Prec@5 66.500 (67.419)
Epoch: [9][7610/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8327 (2.6086)	Prec@1 40.500 (36.707)	Prec@5 62.000 (67.419)
Epoch: [9][7620/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5815 (2.6086)	Prec@1 33.000 (36.704)	Prec@5 69.500 (67.419)
Epoch: [9][7630/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5014 (2.6085)	Prec@1 38.000 (36.706)	Prec@5 72.000 (67.421)
Epoch: [9][7640/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6589 (2.6085)	Prec@1 39.500 (36.707)	Prec@5 64.500 (67.420)
Epoch: [9][7650/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7195 (2.6086)	Prec@1 35.500 (36.707)	Prec@5 64.000 (67.420)
Epoch: [9][7660/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5733 (2.6086)	Prec@1 42.000 (36.708)	Prec@5 69.000 (67.420)
Epoch: [9][7670/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4789 (2.6086)	Prec@1 38.000 (36.708)	Prec@5 66.500 (67.420)
Epoch: [9][7680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5355 (2.6086)	Prec@1 37.500 (36.707)	Prec@5 71.500 (67.420)
Epoch: [9][7690/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5249 (2.6087)	Prec@1 36.500 (36.707)	Prec@5 66.000 (67.419)
Epoch: [9][7700/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5063 (2.6086)	Prec@1 37.000 (36.707)	Prec@5 70.500 (67.418)
Epoch: [9][7710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5770 (2.6087)	Prec@1 36.000 (36.707)	Prec@5 68.000 (67.418)
Epoch: [9][7720/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.7508 (2.6087)	Prec@1 34.000 (36.706)	Prec@5 63.500 (67.417)
Epoch: [9][7730/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6569 (2.6087)	Prec@1 37.000 (36.706)	Prec@5 61.500 (67.415)
Epoch: [9][7740/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4358 (2.6087)	Prec@1 41.500 (36.708)	Prec@5 71.500 (67.414)
Epoch: [9][7750/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7716 (2.6087)	Prec@1 36.000 (36.706)	Prec@5 63.500 (67.414)
Epoch: [9][7760/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3774 (2.6087)	Prec@1 41.500 (36.706)	Prec@5 71.500 (67.413)
Epoch: [9][7770/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7144 (2.6087)	Prec@1 37.000 (36.706)	Prec@5 65.500 (67.414)
Epoch: [9][7780/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8074 (2.6088)	Prec@1 30.000 (36.705)	Prec@5 62.500 (67.413)
Epoch: [9][7790/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5042 (2.6088)	Prec@1 39.500 (36.703)	Prec@5 68.000 (67.410)
Epoch: [9][7800/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6732 (2.6088)	Prec@1 33.500 (36.702)	Prec@5 64.000 (67.409)
Epoch: [9][7810/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7700 (2.6089)	Prec@1 34.500 (36.701)	Prec@5 63.500 (67.408)
Epoch: [9][7820/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5967 (2.6089)	Prec@1 39.500 (36.699)	Prec@5 68.000 (67.408)
Epoch: [9][7830/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7873 (2.6090)	Prec@1 33.500 (36.698)	Prec@5 62.000 (67.409)
Epoch: [9][7840/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.6713 (2.6089)	Prec@1 31.500 (36.699)	Prec@5 70.000 (67.410)
Epoch: [9][7850/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7608 (2.6088)	Prec@1 31.500 (36.701)	Prec@5 64.500 (67.411)
Epoch: [9][7860/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.8398 (2.6089)	Prec@1 32.000 (36.699)	Prec@5 63.000 (67.410)
Epoch: [9][7870/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5907 (2.6089)	Prec@1 37.000 (36.699)	Prec@5 66.000 (67.410)
Epoch: [9][7880/9018]	Time 0.710 (0.615)	Data 0.001 (0.001)	Loss 2.5188 (2.6090)	Prec@1 35.000 (36.697)	Prec@5 69.000 (67.409)
Epoch: [9][7890/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.4415 (2.6089)	Prec@1 39.500 (36.696)	Prec@5 68.500 (67.409)
Epoch: [9][7900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6289 (2.6089)	Prec@1 37.500 (36.698)	Prec@5 64.500 (67.410)
Epoch: [9][7910/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5605 (2.6089)	Prec@1 39.500 (36.698)	Prec@5 69.000 (67.412)
Epoch: [9][7920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4995 (2.6089)	Prec@1 41.500 (36.698)	Prec@5 68.000 (67.410)
Epoch: [9][7930/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 2.4960 (2.6089)	Prec@1 37.500 (36.699)	Prec@5 71.500 (67.412)
Epoch: [9][7940/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6618 (2.6088)	Prec@1 39.500 (36.701)	Prec@5 68.000 (67.414)
Epoch: [9][7950/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6264 (2.6088)	Prec@1 39.000 (36.704)	Prec@5 66.000 (67.412)
Epoch: [9][7960/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8033 (2.6088)	Prec@1 32.500 (36.705)	Prec@5 62.000 (67.412)
Epoch: [9][7970/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.9080 (2.6088)	Prec@1 28.500 (36.704)	Prec@5 61.500 (67.410)
Epoch: [9][7980/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6594 (2.6087)	Prec@1 38.500 (36.706)	Prec@5 68.000 (67.413)
Epoch: [9][7990/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4215 (2.6087)	Prec@1 40.500 (36.706)	Prec@5 70.000 (67.413)
Epoch: [9][8000/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5356 (2.6087)	Prec@1 38.500 (36.705)	Prec@5 69.500 (67.412)
Epoch: [9][8010/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6534 (2.6087)	Prec@1 36.500 (36.706)	Prec@5 66.000 (67.413)
Epoch: [9][8020/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5551 (2.6087)	Prec@1 39.000 (36.706)	Prec@5 69.000 (67.412)
Epoch: [9][8030/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4504 (2.6086)	Prec@1 38.500 (36.708)	Prec@5 71.000 (67.414)
Epoch: [9][8040/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6331 (2.6086)	Prec@1 38.500 (36.708)	Prec@5 68.000 (67.416)
Epoch: [9][8050/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7655 (2.6087)	Prec@1 32.000 (36.707)	Prec@5 64.000 (67.415)
Epoch: [9][8060/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6089 (2.6087)	Prec@1 38.500 (36.706)	Prec@5 63.500 (67.414)
Epoch: [9][8070/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6572 (2.6087)	Prec@1 35.500 (36.704)	Prec@5 68.500 (67.415)
Epoch: [9][8080/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5473 (2.6087)	Prec@1 37.500 (36.704)	Prec@5 68.500 (67.413)
Epoch: [9][8090/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6063 (2.6087)	Prec@1 38.000 (36.703)	Prec@5 66.500 (67.413)
Epoch: [9][8100/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6180 (2.6087)	Prec@1 38.500 (36.704)	Prec@5 63.000 (67.411)
Epoch: [9][8110/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4451 (2.6087)	Prec@1 41.500 (36.705)	Prec@5 75.000 (67.412)
Epoch: [9][8120/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7653 (2.6088)	Prec@1 34.000 (36.705)	Prec@5 63.000 (67.410)
Epoch: [9][8130/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3634 (2.6087)	Prec@1 39.500 (36.705)	Prec@5 73.000 (67.411)
Epoch: [9][8140/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7669 (2.6088)	Prec@1 38.000 (36.704)	Prec@5 63.500 (67.411)
Epoch: [9][8150/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5327 (2.6087)	Prec@1 42.500 (36.704)	Prec@5 70.500 (67.412)
Epoch: [9][8160/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4517 (2.6087)	Prec@1 37.000 (36.703)	Prec@5 69.000 (67.413)
Epoch: [9][8170/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5073 (2.6087)	Prec@1 36.500 (36.704)	Prec@5 71.000 (67.414)
Epoch: [9][8180/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3574 (2.6087)	Prec@1 38.500 (36.705)	Prec@5 77.000 (67.414)
Epoch: [9][8190/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7858 (2.6087)	Prec@1 37.000 (36.704)	Prec@5 64.000 (67.414)
Epoch: [9][8200/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.8262 (2.6088)	Prec@1 29.500 (36.702)	Prec@5 66.500 (67.414)
Epoch: [9][8210/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.4545 (2.6087)	Prec@1 38.000 (36.702)	Prec@5 70.000 (67.414)
Epoch: [9][8220/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6031 (2.6087)	Prec@1 37.000 (36.702)	Prec@5 64.500 (67.414)
Epoch: [9][8230/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4965 (2.6086)	Prec@1 39.000 (36.704)	Prec@5 68.500 (67.416)
Epoch: [9][8240/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6895 (2.6086)	Prec@1 36.500 (36.704)	Prec@5 64.000 (67.416)
Epoch: [9][8250/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8458 (2.6087)	Prec@1 33.000 (36.704)	Prec@5 62.500 (67.416)
Epoch: [9][8260/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.5476 (2.6087)	Prec@1 39.500 (36.704)	Prec@5 68.500 (67.416)
Epoch: [9][8270/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.5559 (2.6087)	Prec@1 35.500 (36.702)	Prec@5 70.500 (67.415)
Epoch: [9][8280/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4840 (2.6087)	Prec@1 38.000 (36.703)	Prec@5 69.500 (67.417)
Epoch: [9][8290/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8870 (2.6087)	Prec@1 32.500 (36.701)	Prec@5 61.000 (67.415)
Epoch: [9][8300/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5123 (2.6088)	Prec@1 36.500 (36.702)	Prec@5 68.000 (67.414)
Epoch: [9][8310/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4430 (2.6087)	Prec@1 40.000 (36.704)	Prec@5 73.000 (67.415)
Epoch: [9][8320/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3382 (2.6087)	Prec@1 41.500 (36.703)	Prec@5 71.500 (67.415)
Epoch: [9][8330/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4654 (2.6086)	Prec@1 38.000 (36.703)	Prec@5 72.000 (67.418)
Epoch: [9][8340/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4965 (2.6086)	Prec@1 44.000 (36.705)	Prec@5 71.000 (67.418)
Epoch: [9][8350/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6669 (2.6086)	Prec@1 31.000 (36.704)	Prec@5 67.000 (67.420)
Epoch: [9][8360/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7912 (2.6086)	Prec@1 29.500 (36.702)	Prec@5 66.000 (67.422)
Epoch: [9][8370/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6386 (2.6086)	Prec@1 34.000 (36.701)	Prec@5 65.500 (67.422)
Epoch: [9][8380/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.3250 (2.6085)	Prec@1 40.000 (36.702)	Prec@5 73.000 (67.424)
Epoch: [9][8390/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5161 (2.6085)	Prec@1 37.500 (36.702)	Prec@5 67.000 (67.424)
Epoch: [9][8400/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5109 (2.6085)	Prec@1 40.500 (36.702)	Prec@5 69.000 (67.424)
Epoch: [9][8410/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6331 (2.6085)	Prec@1 36.000 (36.701)	Prec@5 65.500 (67.424)
Epoch: [9][8420/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6818 (2.6085)	Prec@1 33.500 (36.700)	Prec@5 65.000 (67.424)
Epoch: [9][8430/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8159 (2.6086)	Prec@1 31.000 (36.699)	Prec@5 65.000 (67.422)
Epoch: [9][8440/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.4039 (2.6086)	Prec@1 39.500 (36.697)	Prec@5 71.500 (67.423)
Epoch: [9][8450/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.8103 (2.6086)	Prec@1 33.000 (36.697)	Prec@5 64.500 (67.421)
Epoch: [9][8460/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6405 (2.6085)	Prec@1 34.500 (36.699)	Prec@5 64.000 (67.422)
Epoch: [9][8470/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.8709 (2.6086)	Prec@1 33.000 (36.699)	Prec@5 63.000 (67.422)
Epoch: [9][8480/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5293 (2.6086)	Prec@1 39.000 (36.698)	Prec@5 72.000 (67.421)
Epoch: [9][8490/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5549 (2.6087)	Prec@1 39.500 (36.698)	Prec@5 67.500 (67.420)
Epoch: [9][8500/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6191 (2.6087)	Prec@1 35.500 (36.696)	Prec@5 65.000 (67.418)
Epoch: [9][8510/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7760 (2.6087)	Prec@1 33.000 (36.695)	Prec@5 69.000 (67.419)
Epoch: [9][8520/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5701 (2.6087)	Prec@1 38.000 (36.696)	Prec@5 68.000 (67.420)
Epoch: [9][8530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7452 (2.6087)	Prec@1 36.000 (36.697)	Prec@5 64.500 (67.421)
Epoch: [9][8540/9018]	Time 0.717 (0.615)	Data 0.001 (0.001)	Loss 2.6976 (2.6087)	Prec@1 35.000 (36.699)	Prec@5 68.500 (67.422)
Epoch: [9][8550/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6122 (2.6086)	Prec@1 39.000 (36.698)	Prec@5 65.500 (67.423)
Epoch: [9][8560/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6384 (2.6086)	Prec@1 35.000 (36.698)	Prec@5 64.500 (67.423)
Epoch: [9][8570/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.3074 (2.6086)	Prec@1 39.000 (36.698)	Prec@5 75.500 (67.424)
Epoch: [9][8580/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6183 (2.6086)	Prec@1 39.500 (36.699)	Prec@5 69.500 (67.424)
Epoch: [9][8590/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.4704 (2.6086)	Prec@1 41.000 (36.701)	Prec@5 72.000 (67.423)
Epoch: [9][8600/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5970 (2.6086)	Prec@1 38.000 (36.700)	Prec@5 68.500 (67.423)
Epoch: [9][8610/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6306 (2.6086)	Prec@1 35.500 (36.697)	Prec@5 64.500 (67.422)
Epoch: [9][8620/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6064 (2.6086)	Prec@1 33.500 (36.698)	Prec@5 71.000 (67.423)
Epoch: [9][8630/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.8627 (2.6086)	Prec@1 33.000 (36.699)	Prec@5 65.000 (67.422)
Epoch: [9][8640/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9309 (2.6087)	Prec@1 34.500 (36.698)	Prec@5 62.000 (67.422)
Epoch: [9][8650/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7091 (2.6087)	Prec@1 38.500 (36.699)	Prec@5 63.500 (67.421)
Epoch: [9][8660/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5334 (2.6086)	Prec@1 34.000 (36.698)	Prec@5 67.000 (67.423)
Epoch: [9][8670/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5890 (2.6086)	Prec@1 36.500 (36.699)	Prec@5 69.500 (67.424)
Epoch: [9][8680/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5706 (2.6086)	Prec@1 43.000 (36.699)	Prec@5 70.000 (67.426)
Epoch: [9][8690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5682 (2.6086)	Prec@1 36.500 (36.701)	Prec@5 65.500 (67.427)
Epoch: [9][8700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6293 (2.6085)	Prec@1 35.000 (36.700)	Prec@5 67.000 (67.427)
Epoch: [9][8710/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5783 (2.6086)	Prec@1 36.500 (36.699)	Prec@5 69.000 (67.426)
Epoch: [9][8720/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.7017 (2.6086)	Prec@1 39.500 (36.698)	Prec@5 66.000 (67.425)
Epoch: [9][8730/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5071 (2.6086)	Prec@1 40.000 (36.698)	Prec@5 68.500 (67.427)
Epoch: [9][8740/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4838 (2.6085)	Prec@1 36.000 (36.699)	Prec@5 70.000 (67.428)
Epoch: [9][8750/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6681 (2.6085)	Prec@1 35.500 (36.698)	Prec@5 68.500 (67.428)
Epoch: [9][8760/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6251 (2.6085)	Prec@1 35.000 (36.697)	Prec@5 65.000 (67.427)
Epoch: [9][8770/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4214 (2.6085)	Prec@1 39.000 (36.697)	Prec@5 72.500 (67.427)
Epoch: [9][8780/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6570 (2.6086)	Prec@1 36.000 (36.696)	Prec@5 72.000 (67.426)
Epoch: [9][8790/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7494 (2.6086)	Prec@1 30.500 (36.696)	Prec@5 63.500 (67.424)
Epoch: [9][8800/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.2547 (2.6086)	Prec@1 40.000 (36.696)	Prec@5 77.500 (67.426)
Epoch: [9][8810/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7956 (2.6087)	Prec@1 35.000 (36.695)	Prec@5 63.000 (67.424)
Epoch: [9][8820/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6923 (2.6087)	Prec@1 30.500 (36.692)	Prec@5 63.500 (67.422)
Epoch: [9][8830/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6446 (2.6088)	Prec@1 37.500 (36.691)	Prec@5 61.000 (67.420)
Epoch: [9][8840/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6497 (2.6087)	Prec@1 36.500 (36.692)	Prec@5 64.500 (67.421)
Epoch: [9][8850/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6214 (2.6088)	Prec@1 38.000 (36.692)	Prec@5 69.500 (67.421)
Epoch: [9][8860/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4349 (2.6087)	Prec@1 43.500 (36.692)	Prec@5 67.500 (67.420)
Epoch: [9][8870/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.5908 (2.6087)	Prec@1 36.000 (36.692)	Prec@5 67.500 (67.421)
Epoch: [9][8880/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.8613 (2.6087)	Prec@1 34.500 (36.693)	Prec@5 62.500 (67.420)
Epoch: [9][8890/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6994 (2.6087)	Prec@1 34.000 (36.692)	Prec@5 66.000 (67.419)
Epoch: [9][8900/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4956 (2.6088)	Prec@1 37.000 (36.690)	Prec@5 67.500 (67.417)
Epoch: [9][8910/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5095 (2.6088)	Prec@1 38.500 (36.690)	Prec@5 72.000 (67.417)
Epoch: [9][8920/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.4477 (2.6088)	Prec@1 40.500 (36.689)	Prec@5 72.000 (67.418)
Epoch: [9][8930/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6769 (2.6088)	Prec@1 33.500 (36.690)	Prec@5 66.000 (67.417)
Epoch: [9][8940/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3897 (2.6089)	Prec@1 41.500 (36.690)	Prec@5 72.000 (67.417)
Epoch: [9][8950/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.5334 (2.6088)	Prec@1 37.500 (36.690)	Prec@5 67.000 (67.417)
Epoch: [9][8960/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5420 (2.6087)	Prec@1 36.000 (36.692)	Prec@5 68.000 (67.418)
Epoch: [9][8970/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6422 (2.6087)	Prec@1 39.000 (36.693)	Prec@5 64.000 (67.418)
Epoch: [9][8980/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7566 (2.6087)	Prec@1 34.000 (36.694)	Prec@5 69.000 (67.419)
Epoch: [9][8990/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5980 (2.6087)	Prec@1 38.500 (36.695)	Prec@5 71.000 (67.419)
Epoch: [9][9000/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5166 (2.6087)	Prec@1 38.500 (36.696)	Prec@5 72.000 (67.420)
Epoch: [9][9010/9018]	Time 0.615 (0.615)	Data 0.000 (0.001)	Loss 2.7246 (2.6087)	Prec@1 34.500 (36.696)	Prec@5 64.500 (67.418)
Test: [0/183]	Time 1.711 (1.711)	Loss 3.2156 (3.2156)	Prec@1 27.500 (27.500)	Prec@5 56.500 (56.500)
Test: [10/183]	Time 0.185 (0.345)	Loss 1.7222 (2.3459)	Prec@1 61.000 (40.864)	Prec@5 80.500 (73.136)
Test: [20/183]	Time 0.214 (0.274)	Loss 2.3260 (2.2839)	Prec@1 38.500 (41.524)	Prec@5 78.000 (74.762)
Test: [30/183]	Time 0.188 (0.246)	Loss 2.8018 (2.3353)	Prec@1 26.500 (40.581)	Prec@5 63.500 (73.629)
Test: [40/183]	Time 0.184 (0.233)	Loss 2.8249 (2.3312)	Prec@1 30.000 (41.049)	Prec@5 66.500 (73.598)
Test: [50/183]	Time 0.255 (0.226)	Loss 1.6269 (2.2710)	Prec@1 53.500 (42.804)	Prec@5 86.000 (74.578)
Test: [60/183]	Time 0.187 (0.219)	Loss 2.6394 (2.3309)	Prec@1 34.500 (41.246)	Prec@5 66.500 (73.459)
Test: [70/183]	Time 0.188 (0.216)	Loss 2.1809 (2.3316)	Prec@1 46.500 (41.211)	Prec@5 77.000 (73.542)
Test: [80/183]	Time 0.183 (0.213)	Loss 2.2843 (2.3105)	Prec@1 38.500 (41.426)	Prec@5 75.000 (73.846)
Test: [90/183]	Time 0.182 (0.211)	Loss 3.2153 (2.2977)	Prec@1 24.500 (41.813)	Prec@5 54.500 (73.951)
Test: [100/183]	Time 0.238 (0.210)	Loss 1.3415 (2.3260)	Prec@1 61.000 (41.158)	Prec@5 91.500 (73.411)
Test: [110/183]	Time 0.208 (0.209)	Loss 1.2845 (2.3190)	Prec@1 67.500 (41.243)	Prec@5 94.500 (73.500)
Test: [120/183]	Time 0.193 (0.208)	Loss 3.0705 (2.3406)	Prec@1 20.500 (40.640)	Prec@5 57.500 (73.012)
Test: [130/183]	Time 0.184 (0.207)	Loss 3.5042 (2.3598)	Prec@1 9.000 (39.947)	Prec@5 54.500 (72.790)
Test: [140/183]	Time 0.179 (0.206)	Loss 2.0352 (2.3382)	Prec@1 48.000 (40.521)	Prec@5 76.500 (73.252)
Test: [150/183]	Time 0.253 (0.205)	Loss 0.8158 (2.3263)	Prec@1 78.000 (40.864)	Prec@5 96.000 (73.454)
Test: [160/183]	Time 0.191 (0.205)	Loss 2.1657 (2.3167)	Prec@1 43.500 (41.255)	Prec@5 69.000 (73.578)
Test: [170/183]	Time 0.190 (0.205)	Loss 2.6434 (2.3331)	Prec@1 35.000 (40.915)	Prec@5 75.000 (73.211)
Test: [180/183]	Time 0.180 (0.204)	Loss 2.4332 (2.3377)	Prec@1 33.500 (40.823)	Prec@5 73.000 (73.166)
 * Prec@1 40.879 Prec@5 73.148
Epoch: [10][0/9018]	Time 3.068 (3.068)	Data 2.224 (2.224)	Loss 2.5790 (2.5790)	Prec@1 37.500 (37.500)	Prec@5 67.500 (67.500)
Epoch: [10][10/9018]	Time 0.594 (0.820)	Data 0.001 (0.203)	Loss 2.5702 (2.6725)	Prec@1 31.500 (34.136)	Prec@5 66.500 (66.227)
Epoch: [10][20/9018]	Time 0.592 (0.719)	Data 0.001 (0.107)	Loss 2.6596 (2.6555)	Prec@1 32.000 (34.619)	Prec@5 67.500 (66.881)
Epoch: [10][30/9018]	Time 0.601 (0.680)	Data 0.001 (0.072)	Loss 2.6263 (2.6370)	Prec@1 33.000 (35.145)	Prec@5 69.000 (67.306)
Epoch: [10][40/9018]	Time 0.634 (0.664)	Data 0.001 (0.055)	Loss 2.5413 (2.6220)	Prec@1 40.500 (35.707)	Prec@5 66.500 (67.293)
Epoch: [10][50/9018]	Time 0.605 (0.655)	Data 0.001 (0.044)	Loss 2.8057 (2.6201)	Prec@1 31.500 (35.745)	Prec@5 60.000 (67.294)
Epoch: [10][60/9018]	Time 0.634 (0.647)	Data 0.001 (0.037)	Loss 2.5628 (2.6084)	Prec@1 38.000 (36.090)	Prec@5 68.000 (67.320)
Epoch: [10][70/9018]	Time 0.593 (0.644)	Data 0.001 (0.032)	Loss 2.5448 (2.6025)	Prec@1 34.000 (36.338)	Prec@5 64.000 (67.317)
Epoch: [10][80/9018]	Time 0.648 (0.639)	Data 0.001 (0.028)	Loss 2.6043 (2.6088)	Prec@1 37.000 (36.302)	Prec@5 65.500 (67.272)
Epoch: [10][90/9018]	Time 0.625 (0.637)	Data 0.001 (0.025)	Loss 2.5943 (2.6034)	Prec@1 42.500 (36.440)	Prec@5 67.000 (67.407)
Epoch: [10][100/9018]	Time 0.602 (0.636)	Data 0.001 (0.023)	Loss 2.7270 (2.6008)	Prec@1 36.000 (36.485)	Prec@5 65.500 (67.455)
Epoch: [10][110/9018]	Time 0.635 (0.633)	Data 0.001 (0.021)	Loss 2.5442 (2.5984)	Prec@1 40.000 (36.545)	Prec@5 67.500 (67.491)
Epoch: [10][120/9018]	Time 0.594 (0.631)	Data 0.001 (0.019)	Loss 2.3488 (2.5917)	Prec@1 42.500 (36.599)	Prec@5 74.000 (67.624)
Epoch: [10][130/9018]	Time 0.631 (0.630)	Data 0.001 (0.018)	Loss 2.6774 (2.5886)	Prec@1 34.000 (36.626)	Prec@5 63.000 (67.729)
Epoch: [10][140/9018]	Time 0.598 (0.628)	Data 0.001 (0.017)	Loss 2.3740 (2.5872)	Prec@1 41.000 (36.681)	Prec@5 71.500 (67.702)
Epoch: [10][150/9018]	Time 0.596 (0.628)	Data 0.001 (0.015)	Loss 2.5589 (2.5854)	Prec@1 34.000 (36.669)	Prec@5 68.500 (67.755)
Epoch: [10][160/9018]	Time 0.600 (0.627)	Data 0.001 (0.015)	Loss 2.5725 (2.5888)	Prec@1 35.500 (36.630)	Prec@5 72.000 (67.720)
Epoch: [10][170/9018]	Time 0.613 (0.626)	Data 0.001 (0.014)	Loss 2.6120 (2.5839)	Prec@1 38.500 (36.693)	Prec@5 67.000 (67.825)
Epoch: [10][180/9018]	Time 0.629 (0.626)	Data 0.001 (0.013)	Loss 2.6672 (2.5830)	Prec@1 37.000 (36.738)	Prec@5 65.000 (67.870)
Epoch: [10][190/9018]	Time 0.590 (0.625)	Data 0.001 (0.012)	Loss 2.5431 (2.5830)	Prec@1 39.500 (36.741)	Prec@5 68.500 (67.843)
Epoch: [10][200/9018]	Time 0.590 (0.625)	Data 0.001 (0.012)	Loss 2.6971 (2.5834)	Prec@1 36.500 (36.774)	Prec@5 70.000 (67.876)
Epoch: [10][210/9018]	Time 0.592 (0.624)	Data 0.001 (0.011)	Loss 2.6394 (2.5839)	Prec@1 37.000 (36.777)	Prec@5 69.000 (67.865)
Epoch: [10][220/9018]	Time 0.594 (0.624)	Data 0.001 (0.011)	Loss 2.8315 (2.5879)	Prec@1 29.500 (36.722)	Prec@5 66.500 (67.828)
Epoch: [10][230/9018]	Time 0.621 (0.623)	Data 0.001 (0.010)	Loss 2.2814 (2.5860)	Prec@1 44.500 (36.820)	Prec@5 75.500 (67.814)
Epoch: [10][240/9018]	Time 0.606 (0.623)	Data 0.001 (0.010)	Loss 2.6038 (2.5835)	Prec@1 37.500 (36.886)	Prec@5 67.000 (67.861)
Epoch: [10][250/9018]	Time 0.603 (0.623)	Data 0.001 (0.010)	Loss 2.7947 (2.5850)	Prec@1 33.500 (36.902)	Prec@5 61.000 (67.861)
Epoch: [10][260/9018]	Time 0.607 (0.622)	Data 0.001 (0.009)	Loss 2.6134 (2.5862)	Prec@1 36.000 (36.837)	Prec@5 66.500 (67.812)
Epoch: [10][270/9018]	Time 0.595 (0.622)	Data 0.003 (0.009)	Loss 2.5312 (2.5849)	Prec@1 38.000 (36.882)	Prec@5 65.500 (67.839)
Epoch: [10][280/9018]	Time 0.732 (0.622)	Data 0.001 (0.009)	Loss 2.7538 (2.5859)	Prec@1 36.000 (36.852)	Prec@5 66.000 (67.801)
Epoch: [10][290/9018]	Time 0.628 (0.621)	Data 0.001 (0.008)	Loss 2.7111 (2.5858)	Prec@1 35.000 (36.854)	Prec@5 69.000 (67.837)
Epoch: [10][300/9018]	Time 0.604 (0.621)	Data 0.001 (0.008)	Loss 2.7419 (2.5856)	Prec@1 34.000 (36.855)	Prec@5 66.500 (67.850)
Epoch: [10][310/9018]	Time 0.603 (0.621)	Data 0.001 (0.008)	Loss 2.5157 (2.5864)	Prec@1 37.500 (36.860)	Prec@5 72.000 (67.849)
Epoch: [10][320/9018]	Time 0.593 (0.621)	Data 0.001 (0.008)	Loss 2.5419 (2.5858)	Prec@1 43.500 (36.872)	Prec@5 67.500 (67.829)
Epoch: [10][330/9018]	Time 0.717 (0.621)	Data 0.001 (0.007)	Loss 2.5279 (2.5855)	Prec@1 38.500 (36.869)	Prec@5 69.500 (67.813)
Epoch: [10][340/9018]	Time 0.599 (0.620)	Data 0.001 (0.007)	Loss 2.6364 (2.5850)	Prec@1 34.000 (36.859)	Prec@5 66.500 (67.849)
Epoch: [10][350/9018]	Time 0.604 (0.621)	Data 0.001 (0.007)	Loss 2.4645 (2.5853)	Prec@1 40.500 (36.885)	Prec@5 72.500 (67.840)
Epoch: [10][360/9018]	Time 0.611 (0.621)	Data 0.001 (0.007)	Loss 2.7374 (2.5861)	Prec@1 33.500 (36.831)	Prec@5 63.500 (67.812)
Epoch: [10][370/9018]	Time 0.623 (0.621)	Data 0.001 (0.007)	Loss 2.6798 (2.5856)	Prec@1 37.500 (36.868)	Prec@5 64.500 (67.799)
Epoch: [10][380/9018]	Time 0.595 (0.621)	Data 0.001 (0.007)	Loss 2.7098 (2.5862)	Prec@1 35.500 (36.882)	Prec@5 65.500 (67.778)
Epoch: [10][390/9018]	Time 0.603 (0.621)	Data 0.001 (0.006)	Loss 2.7133 (2.5868)	Prec@1 35.500 (36.862)	Prec@5 66.500 (67.785)
Epoch: [10][400/9018]	Time 0.603 (0.621)	Data 0.001 (0.006)	Loss 2.6027 (2.5865)	Prec@1 34.500 (36.869)	Prec@5 67.500 (67.776)
Epoch: [10][410/9018]	Time 0.603 (0.620)	Data 0.001 (0.006)	Loss 2.4810 (2.5887)	Prec@1 37.000 (36.873)	Prec@5 73.000 (67.742)
Epoch: [10][420/9018]	Time 0.600 (0.620)	Data 0.001 (0.006)	Loss 2.7171 (2.5872)	Prec@1 36.000 (36.920)	Prec@5 65.000 (67.773)
Epoch: [10][430/9018]	Time 0.602 (0.620)	Data 0.001 (0.006)	Loss 2.7749 (2.5880)	Prec@1 36.500 (36.925)	Prec@5 66.000 (67.765)
Epoch: [10][440/9018]	Time 0.596 (0.620)	Data 0.001 (0.006)	Loss 2.6027 (2.5876)	Prec@1 35.000 (36.915)	Prec@5 65.000 (67.759)
Epoch: [10][450/9018]	Time 0.599 (0.620)	Data 0.001 (0.006)	Loss 2.5078 (2.5883)	Prec@1 38.500 (36.912)	Prec@5 67.500 (67.736)
Epoch: [10][460/9018]	Time 0.641 (0.620)	Data 0.001 (0.006)	Loss 2.5976 (2.5874)	Prec@1 36.000 (36.930)	Prec@5 69.000 (67.752)
Epoch: [10][470/9018]	Time 0.598 (0.620)	Data 0.001 (0.005)	Loss 2.6409 (2.5883)	Prec@1 32.500 (36.910)	Prec@5 68.500 (67.743)
Epoch: [10][480/9018]	Time 0.632 (0.620)	Data 0.001 (0.005)	Loss 2.5666 (2.5865)	Prec@1 40.000 (36.942)	Prec@5 71.500 (67.772)
Epoch: [10][490/9018]	Time 0.603 (0.620)	Data 0.001 (0.005)	Loss 2.8021 (2.5866)	Prec@1 31.000 (36.920)	Prec@5 59.500 (67.754)
Epoch: [10][500/9018]	Time 0.605 (0.620)	Data 0.001 (0.005)	Loss 2.7113 (2.5888)	Prec@1 38.000 (36.876)	Prec@5 65.500 (67.703)
Epoch: [10][510/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 2.5146 (2.5878)	Prec@1 41.000 (36.899)	Prec@5 67.000 (67.730)
Epoch: [10][520/9018]	Time 0.595 (0.619)	Data 0.001 (0.005)	Loss 2.6868 (2.5890)	Prec@1 34.500 (36.873)	Prec@5 64.000 (67.698)
Epoch: [10][530/9018]	Time 0.593 (0.620)	Data 0.001 (0.005)	Loss 2.6898 (2.5883)	Prec@1 34.500 (36.901)	Prec@5 63.500 (67.722)
Epoch: [10][540/9018]	Time 0.618 (0.619)	Data 0.001 (0.005)	Loss 2.6531 (2.5868)	Prec@1 41.500 (36.948)	Prec@5 68.500 (67.726)
Epoch: [10][550/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 2.5351 (2.5866)	Prec@1 43.000 (36.967)	Prec@5 69.000 (67.732)
Epoch: [10][560/9018]	Time 0.631 (0.619)	Data 0.001 (0.005)	Loss 2.4563 (2.5856)	Prec@1 38.000 (36.962)	Prec@5 71.000 (67.774)
Epoch: [10][570/9018]	Time 0.602 (0.619)	Data 0.001 (0.005)	Loss 2.6130 (2.5836)	Prec@1 37.500 (37.021)	Prec@5 71.000 (67.830)
Epoch: [10][580/9018]	Time 0.624 (0.619)	Data 0.001 (0.005)	Loss 2.3829 (2.5839)	Prec@1 45.500 (37.053)	Prec@5 71.000 (67.828)
Epoch: [10][590/9018]	Time 0.597 (0.619)	Data 0.001 (0.005)	Loss 2.6203 (2.5841)	Prec@1 40.500 (37.069)	Prec@5 68.000 (67.815)
Epoch: [10][600/9018]	Time 0.616 (0.619)	Data 0.001 (0.004)	Loss 2.3650 (2.5832)	Prec@1 42.500 (37.096)	Prec@5 74.500 (67.842)
Epoch: [10][610/9018]	Time 0.752 (0.619)	Data 0.001 (0.004)	Loss 2.5726 (2.5836)	Prec@1 38.000 (37.077)	Prec@5 66.500 (67.818)
Epoch: [10][620/9018]	Time 0.620 (0.619)	Data 0.001 (0.004)	Loss 2.3199 (2.5836)	Prec@1 40.000 (37.077)	Prec@5 74.500 (67.827)
Epoch: [10][630/9018]	Time 0.593 (0.619)	Data 0.001 (0.004)	Loss 2.8080 (2.5844)	Prec@1 33.500 (37.059)	Prec@5 65.000 (67.833)
Epoch: [10][640/9018]	Time 0.600 (0.619)	Data 0.001 (0.004)	Loss 2.5151 (2.5844)	Prec@1 38.000 (37.050)	Prec@5 65.500 (67.833)
Epoch: [10][650/9018]	Time 0.604 (0.619)	Data 0.001 (0.004)	Loss 2.4797 (2.5840)	Prec@1 40.500 (37.070)	Prec@5 70.500 (67.843)
Epoch: [10][660/9018]	Time 0.724 (0.619)	Data 0.001 (0.004)	Loss 2.5376 (2.5846)	Prec@1 41.500 (37.060)	Prec@5 70.500 (67.831)
Epoch: [10][670/9018]	Time 0.601 (0.619)	Data 0.001 (0.004)	Loss 2.3245 (2.5831)	Prec@1 42.000 (37.069)	Prec@5 71.500 (67.853)
Epoch: [10][680/9018]	Time 0.591 (0.619)	Data 0.001 (0.004)	Loss 2.8738 (2.5836)	Prec@1 30.500 (37.065)	Prec@5 66.500 (67.852)
Epoch: [10][690/9018]	Time 0.609 (0.619)	Data 0.001 (0.004)	Loss 2.7865 (2.5843)	Prec@1 33.000 (37.030)	Prec@5 64.000 (67.836)
Epoch: [10][700/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 2.7566 (2.5843)	Prec@1 32.000 (37.035)	Prec@5 62.500 (67.838)
Epoch: [10][710/9018]	Time 0.601 (0.619)	Data 0.001 (0.004)	Loss 2.5381 (2.5848)	Prec@1 36.500 (37.001)	Prec@5 72.000 (67.845)
Epoch: [10][720/9018]	Time 0.598 (0.619)	Data 0.001 (0.004)	Loss 2.5881 (2.5847)	Prec@1 34.000 (37.017)	Prec@5 69.000 (67.847)
Epoch: [10][730/9018]	Time 0.616 (0.619)	Data 0.001 (0.004)	Loss 2.4425 (2.5847)	Prec@1 47.000 (37.029)	Prec@5 70.500 (67.852)
Epoch: [10][740/9018]	Time 0.622 (0.619)	Data 0.001 (0.004)	Loss 2.8014 (2.5856)	Prec@1 31.000 (37.012)	Prec@5 63.500 (67.826)
Epoch: [10][750/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 2.6956 (2.5844)	Prec@1 38.500 (37.035)	Prec@5 66.500 (67.855)
Epoch: [10][760/9018]	Time 0.614 (0.619)	Data 0.001 (0.004)	Loss 2.7193 (2.5851)	Prec@1 35.000 (37.037)	Prec@5 66.000 (67.826)
Epoch: [10][770/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.4159 (2.5857)	Prec@1 38.000 (37.035)	Prec@5 73.000 (67.816)
Epoch: [10][780/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 2.6352 (2.5850)	Prec@1 41.000 (37.052)	Prec@5 66.500 (67.811)
Epoch: [10][790/9018]	Time 0.625 (0.618)	Data 0.001 (0.004)	Loss 2.7958 (2.5843)	Prec@1 30.000 (37.063)	Prec@5 62.000 (67.805)
Epoch: [10][800/9018]	Time 0.609 (0.618)	Data 0.001 (0.004)	Loss 2.6078 (2.5850)	Prec@1 33.000 (37.041)	Prec@5 68.500 (67.806)
Epoch: [10][810/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 2.2276 (2.5847)	Prec@1 42.000 (37.046)	Prec@5 73.000 (67.797)
Epoch: [10][820/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 2.5433 (2.5845)	Prec@1 40.000 (37.048)	Prec@5 70.500 (67.822)
Epoch: [10][830/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 2.4724 (2.5847)	Prec@1 39.500 (37.050)	Prec@5 73.500 (67.810)
Epoch: [10][840/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 2.5407 (2.5845)	Prec@1 35.500 (37.066)	Prec@5 68.000 (67.819)
Epoch: [10][850/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 2.6704 (2.5853)	Prec@1 35.500 (37.041)	Prec@5 65.000 (67.800)
Epoch: [10][860/9018]	Time 0.589 (0.618)	Data 0.001 (0.003)	Loss 2.2973 (2.5857)	Prec@1 41.500 (37.041)	Prec@5 74.500 (67.783)
Epoch: [10][870/9018]	Time 0.621 (0.618)	Data 0.001 (0.003)	Loss 2.7241 (2.5851)	Prec@1 34.000 (37.053)	Prec@5 64.000 (67.792)
Epoch: [10][880/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 2.7066 (2.5854)	Prec@1 34.500 (37.052)	Prec@5 70.000 (67.797)
Epoch: [10][890/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 2.4430 (2.5851)	Prec@1 40.500 (37.041)	Prec@5 68.000 (67.796)
Epoch: [10][900/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 2.5906 (2.5850)	Prec@1 31.000 (37.041)	Prec@5 66.500 (67.791)
Epoch: [10][910/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 2.7393 (2.5852)	Prec@1 41.000 (37.049)	Prec@5 64.500 (67.802)
Epoch: [10][920/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 2.4650 (2.5857)	Prec@1 36.000 (37.033)	Prec@5 67.500 (67.790)
Epoch: [10][930/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 2.7066 (2.5862)	Prec@1 35.500 (37.028)	Prec@5 64.000 (67.776)
Epoch: [10][940/9018]	Time 0.735 (0.618)	Data 0.001 (0.003)	Loss 2.6060 (2.5870)	Prec@1 37.500 (37.009)	Prec@5 67.500 (67.766)
Epoch: [10][950/9018]	Time 0.612 (0.618)	Data 0.001 (0.003)	Loss 2.7489 (2.5871)	Prec@1 35.500 (37.003)	Prec@5 68.000 (67.770)
Epoch: [10][960/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 2.6091 (2.5870)	Prec@1 38.000 (37.016)	Prec@5 69.000 (67.779)
Epoch: [10][970/9018]	Time 0.635 (0.618)	Data 0.001 (0.003)	Loss 2.7600 (2.5879)	Prec@1 36.000 (37.006)	Prec@5 65.000 (67.766)
Epoch: [10][980/9018]	Time 0.627 (0.618)	Data 0.001 (0.003)	Loss 2.5330 (2.5882)	Prec@1 39.500 (37.006)	Prec@5 70.000 (67.762)
Epoch: [10][990/9018]	Time 0.722 (0.618)	Data 0.001 (0.003)	Loss 2.5060 (2.5883)	Prec@1 37.500 (37.003)	Prec@5 71.000 (67.757)
Epoch: [10][1000/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 2.4778 (2.5881)	Prec@1 39.500 (36.989)	Prec@5 70.500 (67.758)
Epoch: [10][1010/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.6382 (2.5876)	Prec@1 38.500 (36.992)	Prec@5 63.000 (67.765)
Epoch: [10][1020/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.6526 (2.5874)	Prec@1 40.000 (37.006)	Prec@5 69.000 (67.776)
Epoch: [10][1030/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.1830 (2.5867)	Prec@1 46.500 (37.017)	Prec@5 74.500 (67.788)
Epoch: [10][1040/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.7250 (2.5871)	Prec@1 34.500 (36.991)	Prec@5 65.000 (67.794)
Epoch: [10][1050/9018]	Time 0.620 (0.617)	Data 0.001 (0.003)	Loss 2.6411 (2.5880)	Prec@1 34.000 (36.966)	Prec@5 66.000 (67.787)
Epoch: [10][1060/9018]	Time 0.607 (0.617)	Data 0.003 (0.003)	Loss 2.6596 (2.5883)	Prec@1 35.500 (36.962)	Prec@5 67.000 (67.785)
Epoch: [10][1070/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.6447 (2.5886)	Prec@1 37.500 (36.960)	Prec@5 67.000 (67.777)
Epoch: [10][1080/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.3573 (2.5883)	Prec@1 42.500 (36.962)	Prec@5 73.000 (67.795)
Epoch: [10][1090/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.5636 (2.5882)	Prec@1 40.500 (36.976)	Prec@5 67.500 (67.798)
Epoch: [10][1100/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 2.8155 (2.5884)	Prec@1 33.500 (36.981)	Prec@5 64.000 (67.795)
Epoch: [10][1110/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 2.6461 (2.5888)	Prec@1 38.000 (36.978)	Prec@5 66.000 (67.785)
Epoch: [10][1120/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.4928 (2.5887)	Prec@1 36.000 (36.986)	Prec@5 71.000 (67.780)
Epoch: [10][1130/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.5900 (2.5891)	Prec@1 39.000 (36.976)	Prec@5 67.000 (67.775)
Epoch: [10][1140/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.7275 (2.5886)	Prec@1 34.000 (36.983)	Prec@5 63.000 (67.786)
Epoch: [10][1150/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 2.5702 (2.5889)	Prec@1 38.000 (36.977)	Prec@5 64.500 (67.776)
Epoch: [10][1160/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 2.6384 (2.5883)	Prec@1 35.000 (36.987)	Prec@5 64.500 (67.783)
Epoch: [10][1170/9018]	Time 0.628 (0.617)	Data 0.001 (0.003)	Loss 2.5754 (2.5879)	Prec@1 38.000 (37.001)	Prec@5 69.500 (67.805)
Epoch: [10][1180/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.7615 (2.5878)	Prec@1 37.000 (37.000)	Prec@5 64.000 (67.808)
Epoch: [10][1190/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.4051 (2.5877)	Prec@1 41.000 (37.002)	Prec@5 68.500 (67.813)
Epoch: [10][1200/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.7769 (2.5876)	Prec@1 32.000 (37.003)	Prec@5 68.000 (67.828)
Epoch: [10][1210/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.6281 (2.5880)	Prec@1 34.500 (36.994)	Prec@5 67.000 (67.827)
Epoch: [10][1220/9018]	Time 0.631 (0.617)	Data 0.001 (0.003)	Loss 2.4444 (2.5874)	Prec@1 37.000 (36.999)	Prec@5 69.000 (67.844)
Epoch: [10][1230/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 2.6389 (2.5873)	Prec@1 33.000 (37.000)	Prec@5 65.500 (67.844)
Epoch: [10][1240/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.5277 (2.5875)	Prec@1 39.500 (36.996)	Prec@5 64.500 (67.847)
Epoch: [10][1250/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.8789 (2.5882)	Prec@1 37.500 (36.983)	Prec@5 58.500 (67.832)
Epoch: [10][1260/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.4122 (2.5876)	Prec@1 42.000 (36.999)	Prec@5 71.500 (67.850)
Epoch: [10][1270/9018]	Time 0.718 (0.617)	Data 0.001 (0.003)	Loss 2.5422 (2.5874)	Prec@1 37.000 (37.000)	Prec@5 70.000 (67.864)
Epoch: [10][1280/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.5819 (2.5880)	Prec@1 38.500 (36.982)	Prec@5 70.000 (67.859)
Epoch: [10][1290/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.3760 (2.5882)	Prec@1 40.500 (36.976)	Prec@5 73.500 (67.848)
Epoch: [10][1300/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.6982 (2.5883)	Prec@1 38.000 (36.971)	Prec@5 65.500 (67.857)
Epoch: [10][1310/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.7043 (2.5884)	Prec@1 28.000 (36.965)	Prec@5 67.500 (67.853)
Epoch: [10][1320/9018]	Time 0.696 (0.617)	Data 0.001 (0.002)	Loss 2.7621 (2.5885)	Prec@1 33.500 (36.960)	Prec@5 62.000 (67.858)
Epoch: [10][1330/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.4238 (2.5887)	Prec@1 41.500 (36.958)	Prec@5 71.000 (67.856)
Epoch: [10][1340/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.6476 (2.5886)	Prec@1 35.500 (36.953)	Prec@5 72.000 (67.865)
Epoch: [10][1350/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.6728 (2.5884)	Prec@1 38.500 (36.962)	Prec@5 66.500 (67.868)
Epoch: [10][1360/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.6708 (2.5881)	Prec@1 37.500 (36.983)	Prec@5 66.000 (67.875)
Epoch: [10][1370/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.7527 (2.5888)	Prec@1 29.000 (36.966)	Prec@5 65.000 (67.868)
Epoch: [10][1380/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.6663 (2.5892)	Prec@1 37.000 (36.958)	Prec@5 65.000 (67.862)
Epoch: [10][1390/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.8299 (2.5896)	Prec@1 34.000 (36.953)	Prec@5 61.500 (67.856)
Epoch: [10][1400/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.4511 (2.5894)	Prec@1 40.500 (36.953)	Prec@5 69.500 (67.859)
Epoch: [10][1410/9018]	Time 0.614 (0.617)	Data 0.001 (0.002)	Loss 2.6702 (2.5895)	Prec@1 33.500 (36.957)	Prec@5 61.500 (67.855)
Epoch: [10][1420/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.6940 (2.5892)	Prec@1 35.000 (36.958)	Prec@5 64.000 (67.863)
Epoch: [10][1430/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.6311 (2.5895)	Prec@1 34.000 (36.957)	Prec@5 66.500 (67.851)
Epoch: [10][1440/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.5029 (2.5896)	Prec@1 41.000 (36.958)	Prec@5 71.500 (67.851)
Epoch: [10][1450/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4618 (2.5899)	Prec@1 40.500 (36.955)	Prec@5 71.500 (67.854)
Epoch: [10][1460/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.4967 (2.5898)	Prec@1 39.500 (36.956)	Prec@5 69.000 (67.851)
Epoch: [10][1470/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.5136 (2.5905)	Prec@1 40.500 (36.938)	Prec@5 69.500 (67.838)
Epoch: [10][1480/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5994 (2.5905)	Prec@1 36.500 (36.941)	Prec@5 70.500 (67.839)
Epoch: [10][1490/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5215 (2.5905)	Prec@1 39.000 (36.936)	Prec@5 69.000 (67.844)
Epoch: [10][1500/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.5222 (2.5908)	Prec@1 37.500 (36.931)	Prec@5 66.500 (67.835)
Epoch: [10][1510/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.9384 (2.5913)	Prec@1 30.500 (36.928)	Prec@5 60.500 (67.825)
Epoch: [10][1520/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4636 (2.5912)	Prec@1 34.500 (36.931)	Prec@5 70.000 (67.831)
Epoch: [10][1530/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5982 (2.5913)	Prec@1 35.500 (36.933)	Prec@5 65.500 (67.830)
Epoch: [10][1540/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.6193 (2.5913)	Prec@1 36.500 (36.930)	Prec@5 64.500 (67.825)
Epoch: [10][1550/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.6270 (2.5912)	Prec@1 36.500 (36.926)	Prec@5 65.000 (67.824)
Epoch: [10][1560/9018]	Time 0.588 (0.616)	Data 0.001 (0.002)	Loss 2.7305 (2.5908)	Prec@1 33.000 (36.934)	Prec@5 61.000 (67.836)
Epoch: [10][1570/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.7405 (2.5910)	Prec@1 29.500 (36.925)	Prec@5 67.500 (67.839)
Epoch: [10][1580/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5544 (2.5908)	Prec@1 39.000 (36.924)	Prec@5 67.500 (67.833)
Epoch: [10][1590/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.8048 (2.5909)	Prec@1 36.500 (36.933)	Prec@5 64.000 (67.831)
Epoch: [10][1600/9018]	Time 0.719 (0.616)	Data 0.001 (0.002)	Loss 2.6521 (2.5914)	Prec@1 33.500 (36.918)	Prec@5 68.500 (67.821)
Epoch: [10][1610/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.4425 (2.5912)	Prec@1 36.500 (36.917)	Prec@5 71.000 (67.823)
Epoch: [10][1620/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.3406 (2.5911)	Prec@1 39.500 (36.914)	Prec@5 71.500 (67.823)
Epoch: [10][1630/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5949 (2.5912)	Prec@1 36.000 (36.912)	Prec@5 68.500 (67.822)
Epoch: [10][1640/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4332 (2.5909)	Prec@1 37.500 (36.920)	Prec@5 73.000 (67.826)
Epoch: [10][1650/9018]	Time 0.726 (0.616)	Data 0.001 (0.002)	Loss 2.6943 (2.5910)	Prec@1 35.000 (36.919)	Prec@5 64.500 (67.819)
Epoch: [10][1660/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5440 (2.5907)	Prec@1 36.500 (36.922)	Prec@5 68.000 (67.826)
Epoch: [10][1670/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.5525 (2.5905)	Prec@1 39.000 (36.920)	Prec@5 69.500 (67.838)
Epoch: [10][1680/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.4854 (2.5905)	Prec@1 33.000 (36.917)	Prec@5 70.500 (67.844)
Epoch: [10][1690/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6258 (2.5905)	Prec@1 38.500 (36.915)	Prec@5 66.500 (67.854)
Epoch: [10][1700/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4306 (2.5903)	Prec@1 42.500 (36.918)	Prec@5 71.000 (67.858)
Epoch: [10][1710/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7334 (2.5906)	Prec@1 35.500 (36.916)	Prec@5 63.500 (67.841)
Epoch: [10][1720/9018]	Time 0.589 (0.616)	Data 0.001 (0.002)	Loss 2.7272 (2.5906)	Prec@1 37.500 (36.921)	Prec@5 66.000 (67.846)
Epoch: [10][1730/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.6435 (2.5906)	Prec@1 33.500 (36.920)	Prec@5 64.000 (67.848)
Epoch: [10][1740/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3980 (2.5905)	Prec@1 41.500 (36.924)	Prec@5 72.500 (67.852)
Epoch: [10][1750/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5795 (2.5910)	Prec@1 36.500 (36.918)	Prec@5 68.000 (67.843)
Epoch: [10][1760/9018]	Time 0.644 (0.616)	Data 0.001 (0.002)	Loss 2.8698 (2.5911)	Prec@1 32.000 (36.916)	Prec@5 64.500 (67.845)
Epoch: [10][1770/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5036 (2.5909)	Prec@1 39.500 (36.918)	Prec@5 68.000 (67.852)
Epoch: [10][1780/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.7847 (2.5909)	Prec@1 36.500 (36.914)	Prec@5 62.500 (67.851)
Epoch: [10][1790/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5510 (2.5910)	Prec@1 40.500 (36.917)	Prec@5 73.500 (67.852)
Epoch: [10][1800/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5768 (2.5914)	Prec@1 37.000 (36.914)	Prec@5 65.500 (67.841)
Epoch: [10][1810/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.4659 (2.5914)	Prec@1 34.500 (36.914)	Prec@5 71.000 (67.841)
Epoch: [10][1820/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6953 (2.5916)	Prec@1 39.000 (36.917)	Prec@5 67.000 (67.833)
Epoch: [10][1830/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.7699 (2.5915)	Prec@1 32.500 (36.926)	Prec@5 63.500 (67.834)
Epoch: [10][1840/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.5475 (2.5916)	Prec@1 37.500 (36.931)	Prec@5 68.000 (67.832)
Epoch: [10][1850/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.4356 (2.5914)	Prec@1 35.500 (36.932)	Prec@5 70.500 (67.838)
Epoch: [10][1860/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.4579 (2.5915)	Prec@1 40.500 (36.929)	Prec@5 72.500 (67.836)
Epoch: [10][1870/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.5436 (2.5917)	Prec@1 38.000 (36.927)	Prec@5 66.500 (67.833)
Epoch: [10][1880/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5503 (2.5916)	Prec@1 40.000 (36.935)	Prec@5 69.500 (67.828)
Epoch: [10][1890/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.5604 (2.5913)	Prec@1 36.500 (36.945)	Prec@5 69.000 (67.836)
Epoch: [10][1900/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4297 (2.5913)	Prec@1 38.000 (36.942)	Prec@5 72.500 (67.834)
Epoch: [10][1910/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.6839 (2.5914)	Prec@1 38.000 (36.943)	Prec@5 65.000 (67.830)
Epoch: [10][1920/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.4614 (2.5914)	Prec@1 40.500 (36.941)	Prec@5 69.000 (67.831)
Epoch: [10][1930/9018]	Time 0.716 (0.616)	Data 0.001 (0.002)	Loss 2.3540 (2.5913)	Prec@1 36.000 (36.937)	Prec@5 71.500 (67.834)
Epoch: [10][1940/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.6356 (2.5909)	Prec@1 41.500 (36.946)	Prec@5 67.000 (67.845)
Epoch: [10][1950/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.5672 (2.5909)	Prec@1 38.500 (36.944)	Prec@5 68.500 (67.842)
Epoch: [10][1960/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.3426 (2.5908)	Prec@1 43.500 (36.946)	Prec@5 71.500 (67.843)
Epoch: [10][1970/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5590 (2.5908)	Prec@1 37.500 (36.940)	Prec@5 66.000 (67.834)
Epoch: [10][1980/9018]	Time 0.726 (0.616)	Data 0.001 (0.002)	Loss 2.7180 (2.5907)	Prec@1 35.500 (36.941)	Prec@5 64.500 (67.837)
Epoch: [10][1990/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4637 (2.5910)	Prec@1 38.500 (36.934)	Prec@5 72.000 (67.832)
Epoch: [10][2000/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.4855 (2.5909)	Prec@1 41.000 (36.938)	Prec@5 67.500 (67.835)
Epoch: [10][2010/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5386 (2.5908)	Prec@1 37.000 (36.941)	Prec@5 70.500 (67.846)
Epoch: [10][2020/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6831 (2.5908)	Prec@1 38.500 (36.935)	Prec@5 64.000 (67.849)
Epoch: [10][2030/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4187 (2.5907)	Prec@1 41.000 (36.939)	Prec@5 69.500 (67.848)
Epoch: [10][2040/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.5880 (2.5909)	Prec@1 35.500 (36.930)	Prec@5 70.000 (67.848)
Epoch: [10][2050/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5413 (2.5908)	Prec@1 38.000 (36.926)	Prec@5 69.000 (67.848)
Epoch: [10][2060/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7235 (2.5906)	Prec@1 34.000 (36.928)	Prec@5 66.500 (67.851)
Epoch: [10][2070/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.5046 (2.5908)	Prec@1 39.500 (36.917)	Prec@5 71.500 (67.843)
Epoch: [10][2080/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.3959 (2.5909)	Prec@1 43.000 (36.910)	Prec@5 72.500 (67.837)
Epoch: [10][2090/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7972 (2.5910)	Prec@1 30.500 (36.905)	Prec@5 60.000 (67.839)
Epoch: [10][2100/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6031 (2.5909)	Prec@1 37.000 (36.911)	Prec@5 67.000 (67.845)
Epoch: [10][2110/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.7027 (2.5909)	Prec@1 36.000 (36.912)	Prec@5 67.000 (67.842)
Epoch: [10][2120/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.4530 (2.5908)	Prec@1 39.000 (36.908)	Prec@5 69.000 (67.838)
Epoch: [10][2130/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.4514 (2.5908)	Prec@1 36.500 (36.905)	Prec@5 65.500 (67.834)
Epoch: [10][2140/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.7403 (2.5909)	Prec@1 33.500 (36.906)	Prec@5 62.000 (67.830)
Epoch: [10][2150/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.4402 (2.5910)	Prec@1 36.000 (36.901)	Prec@5 72.000 (67.832)
Epoch: [10][2160/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6593 (2.5913)	Prec@1 37.000 (36.890)	Prec@5 67.000 (67.828)
Epoch: [10][2170/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6677 (2.5917)	Prec@1 39.500 (36.888)	Prec@5 63.500 (67.822)
Epoch: [10][2180/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5623 (2.5917)	Prec@1 38.000 (36.888)	Prec@5 68.500 (67.818)
Epoch: [10][2190/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.5925 (2.5916)	Prec@1 36.500 (36.890)	Prec@5 68.500 (67.816)
Epoch: [10][2200/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6406 (2.5915)	Prec@1 35.000 (36.890)	Prec@5 67.500 (67.813)
Epoch: [10][2210/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.5617 (2.5916)	Prec@1 38.500 (36.886)	Prec@5 68.000 (67.807)
Epoch: [10][2220/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.4559 (2.5910)	Prec@1 40.000 (36.898)	Prec@5 68.500 (67.809)
Epoch: [10][2230/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5324 (2.5914)	Prec@1 35.500 (36.893)	Prec@5 66.000 (67.807)
Epoch: [10][2240/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.9576 (2.5918)	Prec@1 27.000 (36.885)	Prec@5 62.500 (67.801)
Epoch: [10][2250/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6603 (2.5920)	Prec@1 41.500 (36.884)	Prec@5 67.500 (67.800)
Epoch: [10][2260/9018]	Time 0.720 (0.616)	Data 0.001 (0.002)	Loss 2.6423 (2.5920)	Prec@1 36.000 (36.886)	Prec@5 70.000 (67.799)
Epoch: [10][2270/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6480 (2.5920)	Prec@1 37.500 (36.882)	Prec@5 65.500 (67.803)
Epoch: [10][2280/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6095 (2.5920)	Prec@1 37.500 (36.884)	Prec@5 69.000 (67.803)
Epoch: [10][2290/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.3319 (2.5919)	Prec@1 39.500 (36.888)	Prec@5 74.000 (67.803)
Epoch: [10][2300/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.3605 (2.5920)	Prec@1 43.000 (36.889)	Prec@5 73.000 (67.802)
Epoch: [10][2310/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 2.6735 (2.5925)	Prec@1 36.500 (36.880)	Prec@5 67.500 (67.796)
Epoch: [10][2320/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5890 (2.5924)	Prec@1 37.000 (36.884)	Prec@5 67.000 (67.796)
Epoch: [10][2330/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.7450 (2.5924)	Prec@1 30.500 (36.881)	Prec@5 62.000 (67.797)
Epoch: [10][2340/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.7127 (2.5927)	Prec@1 29.000 (36.870)	Prec@5 66.000 (67.793)
Epoch: [10][2350/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.7624 (2.5927)	Prec@1 35.500 (36.865)	Prec@5 68.500 (67.795)
Epoch: [10][2360/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5537 (2.5923)	Prec@1 39.000 (36.863)	Prec@5 71.000 (67.805)
Epoch: [10][2370/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5385 (2.5925)	Prec@1 40.500 (36.862)	Prec@5 70.500 (67.804)
Epoch: [10][2380/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5749 (2.5927)	Prec@1 40.000 (36.862)	Prec@5 67.500 (67.802)
Epoch: [10][2390/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6182 (2.5927)	Prec@1 33.000 (36.865)	Prec@5 66.500 (67.802)
Epoch: [10][2400/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6544 (2.5930)	Prec@1 35.000 (36.864)	Prec@5 70.000 (67.800)
Epoch: [10][2410/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.5038 (2.5929)	Prec@1 35.500 (36.871)	Prec@5 67.000 (67.796)
Epoch: [10][2420/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6870 (2.5929)	Prec@1 35.500 (36.869)	Prec@5 63.500 (67.794)
Epoch: [10][2430/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4661 (2.5927)	Prec@1 36.500 (36.872)	Prec@5 67.000 (67.793)
Epoch: [10][2440/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.7193 (2.5930)	Prec@1 34.000 (36.869)	Prec@5 64.500 (67.786)
Epoch: [10][2450/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.5946 (2.5927)	Prec@1 37.000 (36.877)	Prec@5 67.000 (67.794)
Epoch: [10][2460/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7145 (2.5930)	Prec@1 33.500 (36.874)	Prec@5 65.000 (67.783)
Epoch: [10][2470/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.4864 (2.5932)	Prec@1 38.500 (36.872)	Prec@5 67.000 (67.777)
Epoch: [10][2480/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4258 (2.5932)	Prec@1 38.500 (36.872)	Prec@5 71.500 (67.777)
Epoch: [10][2490/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.4669 (2.5929)	Prec@1 42.500 (36.879)	Prec@5 71.000 (67.782)
Epoch: [10][2500/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5268 (2.5932)	Prec@1 38.000 (36.880)	Prec@5 69.000 (67.778)
Epoch: [10][2510/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5958 (2.5934)	Prec@1 34.000 (36.874)	Prec@5 70.000 (67.776)
Epoch: [10][2520/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.7165 (2.5934)	Prec@1 36.000 (36.869)	Prec@5 65.000 (67.778)
Epoch: [10][2530/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5568 (2.5934)	Prec@1 40.000 (36.868)	Prec@5 70.000 (67.778)
Epoch: [10][2540/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.7068 (2.5935)	Prec@1 30.000 (36.864)	Prec@5 65.000 (67.774)
Epoch: [10][2550/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.3377 (2.5931)	Prec@1 41.000 (36.867)	Prec@5 76.500 (67.780)
Epoch: [10][2560/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4887 (2.5930)	Prec@1 40.500 (36.866)	Prec@5 70.000 (67.783)
Epoch: [10][2570/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.5798 (2.5931)	Prec@1 38.500 (36.864)	Prec@5 66.500 (67.783)
Epoch: [10][2580/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.6426 (2.5932)	Prec@1 41.000 (36.865)	Prec@5 68.500 (67.779)
Epoch: [10][2590/9018]	Time 0.738 (0.616)	Data 0.001 (0.002)	Loss 2.7294 (2.5932)	Prec@1 34.500 (36.864)	Prec@5 64.000 (67.781)
Epoch: [10][2600/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.3538 (2.5932)	Prec@1 45.000 (36.870)	Prec@5 69.500 (67.781)
Epoch: [10][2610/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5643 (2.5932)	Prec@1 39.500 (36.870)	Prec@5 66.500 (67.780)
Epoch: [10][2620/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5726 (2.5931)	Prec@1 36.500 (36.873)	Prec@5 65.500 (67.780)
Epoch: [10][2630/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5031 (2.5929)	Prec@1 41.500 (36.875)	Prec@5 67.500 (67.780)
Epoch: [10][2640/9018]	Time 0.725 (0.616)	Data 0.001 (0.002)	Loss 2.6333 (2.5928)	Prec@1 36.500 (36.879)	Prec@5 66.000 (67.782)
Epoch: [10][2650/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.5680 (2.5927)	Prec@1 38.500 (36.882)	Prec@5 69.500 (67.784)
Epoch: [10][2660/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4954 (2.5927)	Prec@1 35.500 (36.884)	Prec@5 69.500 (67.783)
Epoch: [10][2670/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.2800 (2.5928)	Prec@1 44.000 (36.885)	Prec@5 75.000 (67.783)
Epoch: [10][2680/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5288 (2.5927)	Prec@1 36.000 (36.888)	Prec@5 71.000 (67.785)
Epoch: [10][2690/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.6841 (2.5928)	Prec@1 33.500 (36.888)	Prec@5 68.000 (67.787)
Epoch: [10][2700/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5604 (2.5928)	Prec@1 37.500 (36.886)	Prec@5 69.000 (67.790)
Epoch: [10][2710/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4961 (2.5929)	Prec@1 34.500 (36.883)	Prec@5 67.000 (67.793)
Epoch: [10][2720/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5863 (2.5929)	Prec@1 32.000 (36.885)	Prec@5 70.500 (67.794)
Epoch: [10][2730/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.6770 (2.5930)	Prec@1 38.000 (36.883)	Prec@5 69.000 (67.790)
Epoch: [10][2740/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.8942 (2.5930)	Prec@1 29.500 (36.884)	Prec@5 65.000 (67.789)
Epoch: [10][2750/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.5746 (2.5927)	Prec@1 39.000 (36.891)	Prec@5 68.500 (67.791)
Epoch: [10][2760/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.8435 (2.5928)	Prec@1 33.000 (36.891)	Prec@5 68.000 (67.791)
Epoch: [10][2770/9018]	Time 0.642 (0.616)	Data 0.001 (0.002)	Loss 2.7751 (2.5927)	Prec@1 33.000 (36.898)	Prec@5 62.000 (67.795)
Epoch: [10][2780/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.6478 (2.5926)	Prec@1 31.500 (36.897)	Prec@5 69.000 (67.797)
Epoch: [10][2790/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.5925 (2.5926)	Prec@1 37.000 (36.894)	Prec@5 69.500 (67.799)
Epoch: [10][2800/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.7240 (2.5925)	Prec@1 37.500 (36.898)	Prec@5 67.500 (67.800)
Epoch: [10][2810/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5712 (2.5925)	Prec@1 39.000 (36.898)	Prec@5 68.500 (67.803)
Epoch: [10][2820/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.5757 (2.5923)	Prec@1 35.500 (36.899)	Prec@5 65.000 (67.808)
Epoch: [10][2830/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.4663 (2.5923)	Prec@1 37.000 (36.900)	Prec@5 74.000 (67.805)
Epoch: [10][2840/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4132 (2.5926)	Prec@1 40.000 (36.896)	Prec@5 71.500 (67.798)
Epoch: [10][2850/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.7948 (2.5924)	Prec@1 32.500 (36.896)	Prec@5 59.500 (67.793)
Epoch: [10][2860/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5916 (2.5927)	Prec@1 36.000 (36.892)	Prec@5 68.000 (67.790)
Epoch: [10][2870/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.7505 (2.5926)	Prec@1 36.000 (36.893)	Prec@5 64.000 (67.792)
Epoch: [10][2880/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.7287 (2.5927)	Prec@1 34.500 (36.890)	Prec@5 67.000 (67.788)
Epoch: [10][2890/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5505 (2.5926)	Prec@1 35.000 (36.895)	Prec@5 71.000 (67.791)
Epoch: [10][2900/9018]	Time 0.640 (0.616)	Data 0.001 (0.002)	Loss 2.2555 (2.5923)	Prec@1 44.000 (36.903)	Prec@5 73.000 (67.792)
Epoch: [10][2910/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8284 (2.5924)	Prec@1 29.500 (36.900)	Prec@5 64.500 (67.788)
Epoch: [10][2920/9018]	Time 0.718 (0.616)	Data 0.001 (0.002)	Loss 2.5817 (2.5924)	Prec@1 35.500 (36.899)	Prec@5 67.500 (67.788)
Epoch: [10][2930/9018]	Time 0.645 (0.616)	Data 0.001 (0.002)	Loss 2.4779 (2.5923)	Prec@1 39.000 (36.900)	Prec@5 69.500 (67.791)
Epoch: [10][2940/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.6829 (2.5921)	Prec@1 33.500 (36.900)	Prec@5 67.500 (67.799)
Epoch: [10][2950/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.7749 (2.5923)	Prec@1 33.000 (36.893)	Prec@5 64.000 (67.797)
Epoch: [10][2960/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.4648 (2.5925)	Prec@1 36.000 (36.890)	Prec@5 70.500 (67.798)
Epoch: [10][2970/9018]	Time 0.719 (0.616)	Data 0.001 (0.002)	Loss 2.7352 (2.5926)	Prec@1 34.500 (36.887)	Prec@5 66.000 (67.799)
Epoch: [10][2980/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.7717 (2.5922)	Prec@1 35.000 (36.891)	Prec@5 63.000 (67.804)
Epoch: [10][2990/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.4822 (2.5921)	Prec@1 41.500 (36.894)	Prec@5 67.500 (67.806)
Epoch: [10][3000/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5660 (2.5921)	Prec@1 38.000 (36.897)	Prec@5 65.500 (67.806)
Epoch: [10][3010/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6915 (2.5921)	Prec@1 32.500 (36.895)	Prec@5 66.000 (67.805)
Epoch: [10][3020/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5301 (2.5919)	Prec@1 40.000 (36.898)	Prec@5 68.000 (67.812)
Epoch: [10][3030/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.6018 (2.5919)	Prec@1 41.000 (36.898)	Prec@5 68.500 (67.812)
Epoch: [10][3040/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.8152 (2.5921)	Prec@1 34.000 (36.896)	Prec@5 64.500 (67.809)
Epoch: [10][3050/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6090 (2.5922)	Prec@1 41.000 (36.896)	Prec@5 65.000 (67.806)
Epoch: [10][3060/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.7752 (2.5924)	Prec@1 29.500 (36.893)	Prec@5 65.500 (67.802)
Epoch: [10][3070/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.7272 (2.5924)	Prec@1 34.000 (36.893)	Prec@5 67.500 (67.801)
Epoch: [10][3080/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6485 (2.5925)	Prec@1 39.000 (36.890)	Prec@5 68.000 (67.801)
Epoch: [10][3090/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.8364 (2.5926)	Prec@1 34.500 (36.890)	Prec@5 60.000 (67.799)
Epoch: [10][3100/9018]	Time 0.637 (0.616)	Data 0.001 (0.001)	Loss 2.4910 (2.5926)	Prec@1 37.500 (36.889)	Prec@5 72.500 (67.799)
Epoch: [10][3110/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.7746 (2.5928)	Prec@1 34.000 (36.884)	Prec@5 66.500 (67.796)
Epoch: [10][3120/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.5696 (2.5925)	Prec@1 36.500 (36.886)	Prec@5 69.500 (67.803)
Epoch: [10][3130/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.5412 (2.5924)	Prec@1 36.500 (36.886)	Prec@5 72.000 (67.805)
Epoch: [10][3140/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.5287 (2.5925)	Prec@1 40.000 (36.883)	Prec@5 67.500 (67.806)
Epoch: [10][3150/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.5692 (2.5926)	Prec@1 37.000 (36.883)	Prec@5 69.000 (67.803)
Epoch: [10][3160/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.4990 (2.5926)	Prec@1 38.000 (36.882)	Prec@5 67.000 (67.801)
Epoch: [10][3170/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.4251 (2.5928)	Prec@1 41.500 (36.880)	Prec@5 69.500 (67.798)
Epoch: [10][3180/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.5563 (2.5926)	Prec@1 43.000 (36.881)	Prec@5 70.000 (67.799)
Epoch: [10][3190/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.4495 (2.5927)	Prec@1 39.000 (36.882)	Prec@5 70.500 (67.800)
Epoch: [10][3200/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.4383 (2.5925)	Prec@1 39.500 (36.886)	Prec@5 70.000 (67.803)
Epoch: [10][3210/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.6437 (2.5924)	Prec@1 32.500 (36.886)	Prec@5 68.000 (67.805)
Epoch: [10][3220/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.5045 (2.5926)	Prec@1 39.000 (36.882)	Prec@5 72.000 (67.803)
Epoch: [10][3230/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.6714 (2.5925)	Prec@1 34.000 (36.887)	Prec@5 67.000 (67.806)
Epoch: [10][3240/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6351 (2.5928)	Prec@1 30.500 (36.879)	Prec@5 67.000 (67.801)
Epoch: [10][3250/9018]	Time 0.764 (0.616)	Data 0.001 (0.001)	Loss 2.5931 (2.5928)	Prec@1 36.000 (36.879)	Prec@5 67.000 (67.799)
Epoch: [10][3260/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.5684 (2.5926)	Prec@1 32.000 (36.878)	Prec@5 69.000 (67.803)
Epoch: [10][3270/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6036 (2.5928)	Prec@1 37.500 (36.872)	Prec@5 64.500 (67.800)
Epoch: [10][3280/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.6034 (2.5930)	Prec@1 37.500 (36.868)	Prec@5 67.000 (67.795)
Epoch: [10][3290/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.6157 (2.5928)	Prec@1 35.500 (36.869)	Prec@5 69.000 (67.797)
Epoch: [10][3300/9018]	Time 0.710 (0.616)	Data 0.001 (0.001)	Loss 2.7206 (2.5929)	Prec@1 34.000 (36.866)	Prec@5 68.500 (67.795)
Epoch: [10][3310/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.6806 (2.5931)	Prec@1 33.500 (36.864)	Prec@5 65.000 (67.791)
Epoch: [10][3320/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.4596 (2.5931)	Prec@1 36.500 (36.862)	Prec@5 69.500 (67.794)
Epoch: [10][3330/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.6075 (2.5930)	Prec@1 39.000 (36.860)	Prec@5 67.500 (67.796)
Epoch: [10][3340/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.6508 (2.5933)	Prec@1 34.000 (36.849)	Prec@5 65.000 (67.789)
Epoch: [10][3350/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.4110 (2.5933)	Prec@1 37.000 (36.847)	Prec@5 72.000 (67.788)
Epoch: [10][3360/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.5221 (2.5932)	Prec@1 44.000 (36.848)	Prec@5 67.500 (67.789)
Epoch: [10][3370/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6379 (2.5933)	Prec@1 39.500 (36.849)	Prec@5 65.000 (67.788)
Epoch: [10][3380/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.8707 (2.5933)	Prec@1 34.500 (36.849)	Prec@5 62.500 (67.787)
Epoch: [10][3390/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.5744 (2.5934)	Prec@1 38.500 (36.847)	Prec@5 68.000 (67.784)
Epoch: [10][3400/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6139 (2.5935)	Prec@1 36.000 (36.846)	Prec@5 65.000 (67.784)
Epoch: [10][3410/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.4930 (2.5935)	Prec@1 41.000 (36.845)	Prec@5 68.500 (67.785)
Epoch: [10][3420/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.3780 (2.5934)	Prec@1 40.000 (36.849)	Prec@5 73.500 (67.785)
Epoch: [10][3430/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.5507 (2.5932)	Prec@1 39.000 (36.853)	Prec@5 69.500 (67.791)
Epoch: [10][3440/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.4757 (2.5933)	Prec@1 41.000 (36.855)	Prec@5 72.000 (67.788)
Epoch: [10][3450/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.3783 (2.5934)	Prec@1 43.000 (36.857)	Prec@5 75.000 (67.785)
Epoch: [10][3460/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.4122 (2.5934)	Prec@1 39.500 (36.857)	Prec@5 71.500 (67.785)
Epoch: [10][3470/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.4883 (2.5932)	Prec@1 37.000 (36.861)	Prec@5 70.000 (67.788)
Epoch: [10][3480/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.4797 (2.5931)	Prec@1 43.000 (36.869)	Prec@5 68.000 (67.789)
Epoch: [10][3490/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.6554 (2.5931)	Prec@1 40.000 (36.869)	Prec@5 67.500 (67.789)
Epoch: [10][3500/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6499 (2.5931)	Prec@1 37.500 (36.872)	Prec@5 68.000 (67.790)
Epoch: [10][3510/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.7136 (2.5934)	Prec@1 31.500 (36.863)	Prec@5 65.500 (67.783)
Epoch: [10][3520/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.7760 (2.5934)	Prec@1 34.500 (36.860)	Prec@5 61.000 (67.782)
Epoch: [10][3530/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6174 (2.5934)	Prec@1 34.500 (36.861)	Prec@5 63.000 (67.781)
Epoch: [10][3540/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4564 (2.5932)	Prec@1 39.500 (36.865)	Prec@5 71.000 (67.785)
Epoch: [10][3550/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.3291 (2.5930)	Prec@1 46.500 (36.871)	Prec@5 71.500 (67.791)
Epoch: [10][3560/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.6647 (2.5930)	Prec@1 37.000 (36.871)	Prec@5 65.500 (67.790)
Epoch: [10][3570/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.6658 (2.5929)	Prec@1 37.500 (36.872)	Prec@5 69.000 (67.789)
Epoch: [10][3580/9018]	Time 0.721 (0.616)	Data 0.001 (0.001)	Loss 2.4822 (2.5929)	Prec@1 38.000 (36.872)	Prec@5 71.500 (67.787)
Epoch: [10][3590/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4978 (2.5930)	Prec@1 39.500 (36.869)	Prec@5 66.500 (67.786)
Epoch: [10][3600/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.5412 (2.5931)	Prec@1 34.500 (36.867)	Prec@5 69.500 (67.782)
Epoch: [10][3610/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6343 (2.5931)	Prec@1 37.000 (36.870)	Prec@5 69.000 (67.783)
Epoch: [10][3620/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6065 (2.5932)	Prec@1 34.500 (36.868)	Prec@5 67.000 (67.783)
Epoch: [10][3630/9018]	Time 0.722 (0.616)	Data 0.001 (0.001)	Loss 2.4288 (2.5932)	Prec@1 40.000 (36.873)	Prec@5 72.000 (67.783)
Epoch: [10][3640/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5837 (2.5932)	Prec@1 38.500 (36.873)	Prec@5 68.000 (67.785)
Epoch: [10][3650/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6833 (2.5929)	Prec@1 33.500 (36.876)	Prec@5 69.000 (67.790)
Epoch: [10][3660/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6097 (2.5928)	Prec@1 41.000 (36.879)	Prec@5 68.500 (67.793)
Epoch: [10][3670/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6380 (2.5929)	Prec@1 34.500 (36.875)	Prec@5 64.000 (67.792)
Epoch: [10][3680/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.5955 (2.5929)	Prec@1 39.000 (36.873)	Prec@5 68.500 (67.794)
Epoch: [10][3690/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.7654 (2.5930)	Prec@1 32.000 (36.874)	Prec@5 63.000 (67.794)
Epoch: [10][3700/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.8090 (2.5933)	Prec@1 33.500 (36.867)	Prec@5 61.500 (67.787)
Epoch: [10][3710/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6261 (2.5934)	Prec@1 36.000 (36.869)	Prec@5 70.500 (67.788)
Epoch: [10][3720/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5816 (2.5933)	Prec@1 36.000 (36.875)	Prec@5 67.000 (67.789)
Epoch: [10][3730/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.6134 (2.5932)	Prec@1 36.500 (36.873)	Prec@5 70.500 (67.791)
Epoch: [10][3740/9018]	Time 0.637 (0.616)	Data 0.001 (0.001)	Loss 2.5750 (2.5932)	Prec@1 38.500 (36.875)	Prec@5 70.000 (67.790)
Epoch: [10][3750/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.9668 (2.5932)	Prec@1 31.500 (36.874)	Prec@5 61.000 (67.792)
Epoch: [10][3760/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4593 (2.5931)	Prec@1 35.500 (36.875)	Prec@5 70.500 (67.793)
Epoch: [10][3770/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7352 (2.5932)	Prec@1 35.500 (36.878)	Prec@5 63.000 (67.788)
Epoch: [10][3780/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.4647 (2.5931)	Prec@1 38.500 (36.878)	Prec@5 69.500 (67.789)
Epoch: [10][3790/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 3.0017 (2.5934)	Prec@1 29.000 (36.870)	Prec@5 59.000 (67.784)
Epoch: [10][3800/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.6849 (2.5933)	Prec@1 36.000 (36.874)	Prec@5 66.000 (67.787)
Epoch: [10][3810/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4962 (2.5933)	Prec@1 36.500 (36.874)	Prec@5 73.500 (67.789)
Epoch: [10][3820/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6670 (2.5931)	Prec@1 33.000 (36.874)	Prec@5 67.500 (67.793)
Epoch: [10][3830/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 3.0981 (2.5933)	Prec@1 30.500 (36.873)	Prec@5 62.000 (67.791)
Epoch: [10][3840/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6263 (2.5933)	Prec@1 35.000 (36.870)	Prec@5 64.000 (67.791)
Epoch: [10][3850/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5852 (2.5932)	Prec@1 40.000 (36.868)	Prec@5 66.500 (67.791)
Epoch: [10][3860/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6549 (2.5933)	Prec@1 37.000 (36.866)	Prec@5 69.500 (67.791)
Epoch: [10][3870/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6418 (2.5933)	Prec@1 40.500 (36.870)	Prec@5 63.500 (67.790)
Epoch: [10][3880/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6281 (2.5933)	Prec@1 40.000 (36.873)	Prec@5 68.000 (67.792)
Epoch: [10][3890/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6194 (2.5933)	Prec@1 34.500 (36.873)	Prec@5 66.000 (67.792)
Epoch: [10][3900/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4975 (2.5935)	Prec@1 38.000 (36.870)	Prec@5 69.000 (67.788)
Epoch: [10][3910/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.6501 (2.5935)	Prec@1 37.500 (36.874)	Prec@5 64.500 (67.789)
Epoch: [10][3920/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.7059 (2.5934)	Prec@1 37.000 (36.875)	Prec@5 64.000 (67.792)
Epoch: [10][3930/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.8106 (2.5936)	Prec@1 31.000 (36.873)	Prec@5 60.000 (67.786)
Epoch: [10][3940/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6471 (2.5937)	Prec@1 30.500 (36.872)	Prec@5 65.000 (67.782)
Epoch: [10][3950/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.7071 (2.5938)	Prec@1 40.500 (36.873)	Prec@5 65.500 (67.779)
Epoch: [10][3960/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.3627 (2.5937)	Prec@1 43.000 (36.876)	Prec@5 72.500 (67.779)
Epoch: [10][3970/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5829 (2.5938)	Prec@1 43.500 (36.878)	Prec@5 68.500 (67.780)
Epoch: [10][3980/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5637 (2.5939)	Prec@1 38.000 (36.879)	Prec@5 70.000 (67.777)
Epoch: [10][3990/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5713 (2.5941)	Prec@1 36.000 (36.878)	Prec@5 69.500 (67.776)
Epoch: [10][4000/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7368 (2.5941)	Prec@1 37.500 (36.878)	Prec@5 64.500 (67.775)
Epoch: [10][4010/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6896 (2.5941)	Prec@1 30.500 (36.877)	Prec@5 66.500 (67.777)
Epoch: [10][4020/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6383 (2.5942)	Prec@1 37.500 (36.876)	Prec@5 65.000 (67.776)
Epoch: [10][4030/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7095 (2.5943)	Prec@1 34.500 (36.873)	Prec@5 65.500 (67.772)
Epoch: [10][4040/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7381 (2.5943)	Prec@1 34.500 (36.873)	Prec@5 64.500 (67.775)
Epoch: [10][4050/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5525 (2.5943)	Prec@1 37.500 (36.871)	Prec@5 67.500 (67.773)
Epoch: [10][4060/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7504 (2.5942)	Prec@1 38.000 (36.873)	Prec@5 63.500 (67.774)
Epoch: [10][4070/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5484 (2.5940)	Prec@1 36.500 (36.876)	Prec@5 71.000 (67.776)
Epoch: [10][4080/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5953 (2.5941)	Prec@1 34.000 (36.872)	Prec@5 66.000 (67.774)
Epoch: [10][4090/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8652 (2.5943)	Prec@1 31.000 (36.870)	Prec@5 62.500 (67.770)
Epoch: [10][4100/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5956 (2.5942)	Prec@1 35.500 (36.873)	Prec@5 66.500 (67.772)
Epoch: [10][4110/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5802 (2.5942)	Prec@1 34.000 (36.871)	Prec@5 68.000 (67.773)
Epoch: [10][4120/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7329 (2.5941)	Prec@1 34.000 (36.875)	Prec@5 65.000 (67.773)
Epoch: [10][4130/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6475 (2.5942)	Prec@1 35.500 (36.875)	Prec@5 68.500 (67.775)
Epoch: [10][4140/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7959 (2.5941)	Prec@1 36.500 (36.874)	Prec@5 59.500 (67.773)
Epoch: [10][4150/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6977 (2.5942)	Prec@1 35.000 (36.875)	Prec@5 65.000 (67.770)
Epoch: [10][4160/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4541 (2.5942)	Prec@1 40.000 (36.874)	Prec@5 71.500 (67.770)
Epoch: [10][4170/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7784 (2.5944)	Prec@1 31.000 (36.871)	Prec@5 63.500 (67.766)
Epoch: [10][4180/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5915 (2.5944)	Prec@1 38.500 (36.872)	Prec@5 66.000 (67.764)
Epoch: [10][4190/9018]	Time 0.647 (0.615)	Data 0.001 (0.001)	Loss 2.6027 (2.5944)	Prec@1 37.000 (36.871)	Prec@5 63.000 (67.762)
Epoch: [10][4200/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7124 (2.5946)	Prec@1 36.500 (36.869)	Prec@5 66.000 (67.757)
Epoch: [10][4210/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8167 (2.5945)	Prec@1 31.000 (36.871)	Prec@5 67.000 (67.760)
Epoch: [10][4220/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.3670 (2.5946)	Prec@1 40.500 (36.869)	Prec@5 74.000 (67.761)
Epoch: [10][4230/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4836 (2.5947)	Prec@1 41.000 (36.867)	Prec@5 73.000 (67.761)
Epoch: [10][4240/9018]	Time 0.760 (0.615)	Data 0.001 (0.001)	Loss 2.4669 (2.5944)	Prec@1 43.000 (36.871)	Prec@5 68.000 (67.764)
Epoch: [10][4250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6008 (2.5944)	Prec@1 37.000 (36.871)	Prec@5 66.000 (67.761)
Epoch: [10][4260/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3750 (2.5945)	Prec@1 40.000 (36.870)	Prec@5 71.500 (67.761)
Epoch: [10][4270/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5011 (2.5944)	Prec@1 38.500 (36.873)	Prec@5 70.000 (67.765)
Epoch: [10][4280/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4791 (2.5943)	Prec@1 37.000 (36.873)	Prec@5 67.500 (67.763)
Epoch: [10][4290/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.4410 (2.5942)	Prec@1 42.000 (36.878)	Prec@5 70.000 (67.768)
Epoch: [10][4300/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2974 (2.5940)	Prec@1 43.500 (36.886)	Prec@5 71.500 (67.770)
Epoch: [10][4310/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2985 (2.5938)	Prec@1 47.500 (36.890)	Prec@5 73.000 (67.772)
Epoch: [10][4320/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4600 (2.5938)	Prec@1 44.500 (36.893)	Prec@5 71.000 (67.775)
Epoch: [10][4330/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.5900 (2.5937)	Prec@1 42.000 (36.894)	Prec@5 70.500 (67.780)
Epoch: [10][4340/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5326 (2.5938)	Prec@1 38.000 (36.890)	Prec@5 70.500 (67.776)
Epoch: [10][4350/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.7707 (2.5940)	Prec@1 35.000 (36.889)	Prec@5 62.000 (67.771)
Epoch: [10][4360/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4876 (2.5939)	Prec@1 38.500 (36.892)	Prec@5 72.000 (67.773)
Epoch: [10][4370/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5575 (2.5939)	Prec@1 39.000 (36.892)	Prec@5 68.000 (67.772)
Epoch: [10][4380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5490 (2.5939)	Prec@1 36.000 (36.891)	Prec@5 69.500 (67.772)
Epoch: [10][4390/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4284 (2.5939)	Prec@1 38.500 (36.887)	Prec@5 70.000 (67.775)
Epoch: [10][4400/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.9152 (2.5939)	Prec@1 30.000 (36.888)	Prec@5 66.500 (67.772)
Epoch: [10][4410/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4405 (2.5938)	Prec@1 41.000 (36.890)	Prec@5 70.500 (67.774)
Epoch: [10][4420/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5719 (2.5938)	Prec@1 37.000 (36.893)	Prec@5 71.500 (67.776)
Epoch: [10][4430/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.5522 (2.5937)	Prec@1 35.500 (36.892)	Prec@5 65.000 (67.773)
Epoch: [10][4440/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5465 (2.5937)	Prec@1 38.000 (36.891)	Prec@5 67.500 (67.774)
Epoch: [10][4450/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6045 (2.5938)	Prec@1 28.500 (36.890)	Prec@5 68.500 (67.773)
Epoch: [10][4460/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.3787 (2.5937)	Prec@1 46.000 (36.895)	Prec@5 69.000 (67.775)
Epoch: [10][4470/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.3850 (2.5936)	Prec@1 45.500 (36.898)	Prec@5 73.000 (67.774)
Epoch: [10][4480/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4351 (2.5936)	Prec@1 45.000 (36.900)	Prec@5 72.000 (67.775)
Epoch: [10][4490/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5827 (2.5938)	Prec@1 35.500 (36.894)	Prec@5 70.000 (67.770)
Epoch: [10][4500/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5825 (2.5938)	Prec@1 41.500 (36.895)	Prec@5 67.500 (67.771)
Epoch: [10][4510/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8538 (2.5938)	Prec@1 35.500 (36.894)	Prec@5 63.000 (67.768)
Epoch: [10][4520/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6436 (2.5938)	Prec@1 39.500 (36.899)	Prec@5 66.500 (67.769)
Epoch: [10][4530/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5327 (2.5939)	Prec@1 39.500 (36.897)	Prec@5 69.000 (67.765)
Epoch: [10][4540/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5365 (2.5941)	Prec@1 38.500 (36.895)	Prec@5 66.000 (67.759)
Epoch: [10][4550/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6462 (2.5941)	Prec@1 40.000 (36.894)	Prec@5 67.500 (67.759)
Epoch: [10][4560/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4409 (2.5942)	Prec@1 41.000 (36.895)	Prec@5 71.000 (67.756)
Epoch: [10][4570/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.5777 (2.5942)	Prec@1 38.000 (36.895)	Prec@5 68.500 (67.753)
Epoch: [10][4580/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3694 (2.5943)	Prec@1 43.500 (36.892)	Prec@5 70.500 (67.751)
Epoch: [10][4590/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6302 (2.5944)	Prec@1 31.500 (36.888)	Prec@5 69.500 (67.750)
Epoch: [10][4600/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5175 (2.5943)	Prec@1 39.500 (36.887)	Prec@5 68.500 (67.749)
Epoch: [10][4610/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5229 (2.5945)	Prec@1 38.500 (36.884)	Prec@5 69.000 (67.747)
Epoch: [10][4620/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 2.7180 (2.5944)	Prec@1 32.500 (36.884)	Prec@5 62.500 (67.747)
Epoch: [10][4630/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5162 (2.5946)	Prec@1 41.500 (36.885)	Prec@5 71.000 (67.745)
Epoch: [10][4640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5567 (2.5947)	Prec@1 38.500 (36.884)	Prec@5 70.000 (67.745)
Epoch: [10][4650/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7710 (2.5947)	Prec@1 34.500 (36.887)	Prec@5 68.500 (67.745)
Epoch: [10][4660/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7347 (2.5949)	Prec@1 33.500 (36.884)	Prec@5 64.500 (67.740)
Epoch: [10][4670/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6130 (2.5949)	Prec@1 33.000 (36.884)	Prec@5 65.000 (67.741)
Epoch: [10][4680/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6166 (2.5950)	Prec@1 33.500 (36.880)	Prec@5 67.500 (67.737)
Epoch: [10][4690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3704 (2.5949)	Prec@1 44.500 (36.882)	Prec@5 70.000 (67.740)
Epoch: [10][4700/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.8090 (2.5950)	Prec@1 34.000 (36.879)	Prec@5 63.500 (67.737)
Epoch: [10][4710/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6665 (2.5950)	Prec@1 33.500 (36.878)	Prec@5 67.500 (67.737)
Epoch: [10][4720/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6816 (2.5950)	Prec@1 33.000 (36.877)	Prec@5 65.000 (67.737)
Epoch: [10][4730/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5183 (2.5950)	Prec@1 35.500 (36.873)	Prec@5 69.500 (67.737)
Epoch: [10][4740/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5115 (2.5950)	Prec@1 35.500 (36.871)	Prec@5 68.500 (67.736)
Epoch: [10][4750/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.5481 (2.5951)	Prec@1 40.500 (36.874)	Prec@5 69.500 (67.736)
Epoch: [10][4760/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6586 (2.5950)	Prec@1 39.000 (36.876)	Prec@5 68.000 (67.738)
Epoch: [10][4770/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6549 (2.5951)	Prec@1 38.500 (36.876)	Prec@5 64.000 (67.737)
Epoch: [10][4780/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7189 (2.5951)	Prec@1 37.000 (36.875)	Prec@5 64.500 (67.736)
Epoch: [10][4790/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5889 (2.5950)	Prec@1 41.000 (36.879)	Prec@5 69.000 (67.738)
Epoch: [10][4800/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6799 (2.5950)	Prec@1 34.500 (36.878)	Prec@5 66.500 (67.737)
Epoch: [10][4810/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4140 (2.5951)	Prec@1 45.500 (36.877)	Prec@5 74.500 (67.735)
Epoch: [10][4820/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5433 (2.5951)	Prec@1 37.000 (36.876)	Prec@5 67.000 (67.737)
Epoch: [10][4830/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6777 (2.5951)	Prec@1 33.000 (36.876)	Prec@5 62.500 (67.737)
Epoch: [10][4840/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6333 (2.5951)	Prec@1 36.500 (36.876)	Prec@5 69.500 (67.738)
Epoch: [10][4850/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6940 (2.5950)	Prec@1 35.000 (36.877)	Prec@5 66.000 (67.741)
Epoch: [10][4860/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6424 (2.5950)	Prec@1 37.000 (36.879)	Prec@5 66.500 (67.743)
Epoch: [10][4870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9939 (2.5950)	Prec@1 30.500 (36.880)	Prec@5 59.000 (67.743)
Epoch: [10][4880/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7201 (2.5952)	Prec@1 39.000 (36.880)	Prec@5 68.500 (67.742)
Epoch: [10][4890/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6646 (2.5952)	Prec@1 37.500 (36.880)	Prec@5 66.500 (67.742)
Epoch: [10][4900/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.7296 (2.5954)	Prec@1 32.000 (36.875)	Prec@5 67.500 (67.739)
Epoch: [10][4910/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4408 (2.5954)	Prec@1 36.500 (36.875)	Prec@5 68.500 (67.737)
Epoch: [10][4920/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6131 (2.5955)	Prec@1 35.500 (36.873)	Prec@5 65.500 (67.736)
Epoch: [10][4930/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5527 (2.5954)	Prec@1 37.500 (36.874)	Prec@5 68.500 (67.740)
Epoch: [10][4940/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6366 (2.5956)	Prec@1 37.000 (36.874)	Prec@5 64.500 (67.737)
Epoch: [10][4950/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.4592 (2.5956)	Prec@1 37.000 (36.872)	Prec@5 67.500 (67.733)
Epoch: [10][4960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5553 (2.5957)	Prec@1 40.000 (36.872)	Prec@5 70.000 (67.734)
Epoch: [10][4970/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7856 (2.5957)	Prec@1 34.000 (36.870)	Prec@5 65.500 (67.734)
Epoch: [10][4980/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5368 (2.5957)	Prec@1 35.500 (36.867)	Prec@5 67.500 (67.733)
Epoch: [10][4990/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4607 (2.5958)	Prec@1 42.000 (36.867)	Prec@5 67.500 (67.731)
Epoch: [10][5000/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7363 (2.5957)	Prec@1 31.500 (36.866)	Prec@5 63.500 (67.731)
Epoch: [10][5010/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3292 (2.5957)	Prec@1 39.500 (36.865)	Prec@5 75.500 (67.733)
Epoch: [10][5020/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5630 (2.5959)	Prec@1 36.500 (36.861)	Prec@5 65.000 (67.728)
Epoch: [10][5030/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4765 (2.5958)	Prec@1 38.000 (36.859)	Prec@5 71.500 (67.730)
Epoch: [10][5040/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6863 (2.5960)	Prec@1 31.500 (36.855)	Prec@5 65.500 (67.723)
Epoch: [10][5050/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4575 (2.5960)	Prec@1 40.000 (36.856)	Prec@5 67.500 (67.722)
Epoch: [10][5060/9018]	Time 0.606 (0.615)	Data 0.002 (0.001)	Loss 2.6373 (2.5959)	Prec@1 37.000 (36.854)	Prec@5 64.500 (67.722)
Epoch: [10][5070/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4172 (2.5958)	Prec@1 39.000 (36.858)	Prec@5 70.500 (67.727)
Epoch: [10][5080/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5721 (2.5958)	Prec@1 40.000 (36.860)	Prec@5 69.500 (67.726)
Epoch: [10][5090/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6699 (2.5958)	Prec@1 37.500 (36.861)	Prec@5 63.000 (67.725)
Epoch: [10][5100/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4264 (2.5958)	Prec@1 41.000 (36.862)	Prec@5 70.000 (67.727)
Epoch: [10][5110/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.3726 (2.5957)	Prec@1 46.000 (36.866)	Prec@5 70.000 (67.728)
Epoch: [10][5120/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7400 (2.5956)	Prec@1 36.500 (36.865)	Prec@5 66.000 (67.730)
Epoch: [10][5130/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.5269 (2.5958)	Prec@1 39.500 (36.863)	Prec@5 66.500 (67.725)
Epoch: [10][5140/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6288 (2.5958)	Prec@1 33.000 (36.866)	Prec@5 65.000 (67.727)
Epoch: [10][5150/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8066 (2.5958)	Prec@1 33.000 (36.864)	Prec@5 62.500 (67.726)
Epoch: [10][5160/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5279 (2.5958)	Prec@1 40.000 (36.866)	Prec@5 70.000 (67.727)
Epoch: [10][5170/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6928 (2.5959)	Prec@1 39.000 (36.864)	Prec@5 66.500 (67.726)
Epoch: [10][5180/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4802 (2.5958)	Prec@1 42.000 (36.866)	Prec@5 68.500 (67.727)
Epoch: [10][5190/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7429 (2.5957)	Prec@1 34.500 (36.866)	Prec@5 65.000 (67.729)
Epoch: [10][5200/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7009 (2.5957)	Prec@1 34.000 (36.866)	Prec@5 68.500 (67.730)
Epoch: [10][5210/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5242 (2.5956)	Prec@1 37.000 (36.867)	Prec@5 69.500 (67.732)
Epoch: [10][5220/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4447 (2.5955)	Prec@1 37.000 (36.868)	Prec@5 74.000 (67.732)
Epoch: [10][5230/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.6296 (2.5956)	Prec@1 37.000 (36.866)	Prec@5 66.500 (67.730)
Epoch: [10][5240/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5670 (2.5956)	Prec@1 34.000 (36.864)	Prec@5 71.000 (67.733)
Epoch: [10][5250/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4625 (2.5955)	Prec@1 37.000 (36.866)	Prec@5 68.500 (67.735)
Epoch: [10][5260/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4958 (2.5955)	Prec@1 35.000 (36.863)	Prec@5 70.500 (67.736)
Epoch: [10][5270/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8389 (2.5956)	Prec@1 35.500 (36.859)	Prec@5 60.000 (67.734)
Epoch: [10][5280/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.7116 (2.5957)	Prec@1 33.000 (36.858)	Prec@5 66.000 (67.732)
Epoch: [10][5290/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8766 (2.5958)	Prec@1 33.500 (36.856)	Prec@5 58.000 (67.730)
Epoch: [10][5300/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6804 (2.5958)	Prec@1 32.000 (36.855)	Prec@5 69.500 (67.729)
Epoch: [10][5310/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.8324 (2.5959)	Prec@1 34.500 (36.853)	Prec@5 63.500 (67.727)
Epoch: [10][5320/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5022 (2.5960)	Prec@1 35.000 (36.852)	Prec@5 70.000 (67.728)
Epoch: [10][5330/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3038 (2.5960)	Prec@1 39.000 (36.851)	Prec@5 75.000 (67.731)
Epoch: [10][5340/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.7752 (2.5960)	Prec@1 33.500 (36.849)	Prec@5 63.500 (67.729)
Epoch: [10][5350/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4536 (2.5961)	Prec@1 43.500 (36.848)	Prec@5 71.000 (67.727)
Epoch: [10][5360/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6947 (2.5961)	Prec@1 32.500 (36.848)	Prec@5 66.500 (67.724)
Epoch: [10][5370/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6801 (2.5960)	Prec@1 38.500 (36.850)	Prec@5 69.500 (67.727)
Epoch: [10][5380/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.8754 (2.5961)	Prec@1 30.000 (36.848)	Prec@5 63.500 (67.726)
Epoch: [10][5390/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4360 (2.5961)	Prec@1 40.000 (36.847)	Prec@5 72.500 (67.728)
Epoch: [10][5400/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6079 (2.5960)	Prec@1 35.500 (36.847)	Prec@5 68.500 (67.729)
Epoch: [10][5410/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5475 (2.5960)	Prec@1 35.000 (36.847)	Prec@5 66.000 (67.727)
Epoch: [10][5420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8311 (2.5961)	Prec@1 33.500 (36.846)	Prec@5 63.500 (67.725)
Epoch: [10][5430/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5702 (2.5962)	Prec@1 36.500 (36.843)	Prec@5 70.500 (67.724)
Epoch: [10][5440/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6622 (2.5962)	Prec@1 34.500 (36.842)	Prec@5 66.000 (67.726)
Epoch: [10][5450/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.5244 (2.5961)	Prec@1 32.000 (36.845)	Prec@5 70.000 (67.727)
Epoch: [10][5460/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6705 (2.5963)	Prec@1 33.500 (36.841)	Prec@5 70.000 (67.726)
Epoch: [10][5470/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7572 (2.5963)	Prec@1 34.500 (36.840)	Prec@5 61.000 (67.725)
Epoch: [10][5480/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7519 (2.5964)	Prec@1 33.000 (36.838)	Prec@5 69.500 (67.723)
Epoch: [10][5490/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5979 (2.5965)	Prec@1 35.500 (36.839)	Prec@5 68.000 (67.723)
Epoch: [10][5500/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4971 (2.5965)	Prec@1 41.000 (36.840)	Prec@5 68.000 (67.722)
Epoch: [10][5510/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3798 (2.5964)	Prec@1 40.000 (36.843)	Prec@5 74.000 (67.724)
Epoch: [10][5520/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6808 (2.5964)	Prec@1 36.000 (36.841)	Prec@5 64.500 (67.720)
Epoch: [10][5530/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.7266 (2.5964)	Prec@1 33.500 (36.842)	Prec@5 63.500 (67.720)
Epoch: [10][5540/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5988 (2.5964)	Prec@1 33.000 (36.841)	Prec@5 67.000 (67.719)
Epoch: [10][5550/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6462 (2.5964)	Prec@1 38.000 (36.842)	Prec@5 69.000 (67.721)
Epoch: [10][5560/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.6436 (2.5966)	Prec@1 38.000 (36.838)	Prec@5 69.000 (67.720)
Epoch: [10][5570/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7409 (2.5967)	Prec@1 34.500 (36.836)	Prec@5 63.500 (67.716)
Epoch: [10][5580/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4897 (2.5967)	Prec@1 38.000 (36.835)	Prec@5 69.500 (67.713)
Epoch: [10][5590/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8412 (2.5967)	Prec@1 34.000 (36.834)	Prec@5 65.500 (67.715)
Epoch: [10][5600/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6503 (2.5968)	Prec@1 33.500 (36.832)	Prec@5 66.000 (67.713)
Epoch: [10][5610/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.5534 (2.5969)	Prec@1 39.500 (36.831)	Prec@5 67.500 (67.714)
Epoch: [10][5620/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5279 (2.5967)	Prec@1 43.000 (36.833)	Prec@5 69.500 (67.718)
Epoch: [10][5630/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.8066 (2.5968)	Prec@1 34.000 (36.835)	Prec@5 63.000 (67.716)
Epoch: [10][5640/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7912 (2.5967)	Prec@1 32.000 (36.835)	Prec@5 64.500 (67.717)
Epoch: [10][5650/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8028 (2.5968)	Prec@1 34.500 (36.833)	Prec@5 63.500 (67.714)
Epoch: [10][5660/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6291 (2.5969)	Prec@1 32.500 (36.831)	Prec@5 69.000 (67.712)
Epoch: [10][5670/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7339 (2.5970)	Prec@1 32.500 (36.829)	Prec@5 61.000 (67.710)
Epoch: [10][5680/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6507 (2.5971)	Prec@1 36.500 (36.829)	Prec@5 69.000 (67.709)
Epoch: [10][5690/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.9469 (2.5972)	Prec@1 34.000 (36.828)	Prec@5 60.000 (67.708)
Epoch: [10][5700/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4145 (2.5972)	Prec@1 37.000 (36.826)	Prec@5 70.000 (67.705)
Epoch: [10][5710/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5979 (2.5972)	Prec@1 37.000 (36.824)	Prec@5 67.000 (67.704)
Epoch: [10][5720/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7872 (2.5973)	Prec@1 32.000 (36.823)	Prec@5 62.500 (67.701)
Epoch: [10][5730/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7128 (2.5974)	Prec@1 31.000 (36.821)	Prec@5 62.500 (67.698)
Epoch: [10][5740/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.6603 (2.5972)	Prec@1 34.500 (36.825)	Prec@5 64.500 (67.696)
Epoch: [10][5750/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6615 (2.5972)	Prec@1 37.000 (36.824)	Prec@5 67.500 (67.697)
Epoch: [10][5760/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5916 (2.5973)	Prec@1 32.500 (36.822)	Prec@5 64.000 (67.696)
Epoch: [10][5770/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.3129 (2.5973)	Prec@1 43.500 (36.823)	Prec@5 74.500 (67.697)
Epoch: [10][5780/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7470 (2.5975)	Prec@1 37.000 (36.820)	Prec@5 67.500 (67.695)
Epoch: [10][5790/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6060 (2.5975)	Prec@1 40.000 (36.821)	Prec@5 67.500 (67.694)
Epoch: [10][5800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5969 (2.5976)	Prec@1 41.000 (36.819)	Prec@5 69.500 (67.693)
Epoch: [10][5810/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6543 (2.5975)	Prec@1 39.000 (36.822)	Prec@5 65.500 (67.693)
Epoch: [10][5820/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6853 (2.5975)	Prec@1 38.000 (36.822)	Prec@5 67.500 (67.694)
Epoch: [10][5830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4086 (2.5975)	Prec@1 37.500 (36.821)	Prec@5 72.500 (67.695)
Epoch: [10][5840/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.9705 (2.5976)	Prec@1 28.000 (36.819)	Prec@5 63.500 (67.693)
Epoch: [10][5850/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6035 (2.5976)	Prec@1 39.500 (36.820)	Prec@5 69.500 (67.694)
Epoch: [10][5860/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6823 (2.5976)	Prec@1 33.500 (36.821)	Prec@5 64.000 (67.693)
Epoch: [10][5870/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5222 (2.5976)	Prec@1 41.000 (36.823)	Prec@5 71.500 (67.695)
Epoch: [10][5880/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7377 (2.5977)	Prec@1 33.000 (36.820)	Prec@5 64.500 (67.692)
Epoch: [10][5890/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.6916 (2.5977)	Prec@1 31.500 (36.819)	Prec@5 67.500 (67.691)
Epoch: [10][5900/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7514 (2.5977)	Prec@1 33.500 (36.816)	Prec@5 67.000 (67.690)
Epoch: [10][5910/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7232 (2.5977)	Prec@1 35.500 (36.819)	Prec@5 60.500 (67.690)
Epoch: [10][5920/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5262 (2.5978)	Prec@1 37.000 (36.816)	Prec@5 68.000 (67.689)
Epoch: [10][5930/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7437 (2.5979)	Prec@1 40.500 (36.815)	Prec@5 63.000 (67.687)
Epoch: [10][5940/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 2.7099 (2.5980)	Prec@1 31.500 (36.809)	Prec@5 67.000 (67.684)
Epoch: [10][5950/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4334 (2.5980)	Prec@1 39.500 (36.808)	Prec@5 68.500 (67.683)
Epoch: [10][5960/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4453 (2.5980)	Prec@1 39.500 (36.809)	Prec@5 70.000 (67.684)
Epoch: [10][5970/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8402 (2.5981)	Prec@1 35.500 (36.807)	Prec@5 63.000 (67.682)
Epoch: [10][5980/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6618 (2.5981)	Prec@1 37.500 (36.806)	Prec@5 68.000 (67.680)
Epoch: [10][5990/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4443 (2.5982)	Prec@1 45.500 (36.809)	Prec@5 68.000 (67.678)
Epoch: [10][6000/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7251 (2.5982)	Prec@1 40.500 (36.810)	Prec@5 66.000 (67.676)
Epoch: [10][6010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.9094 (2.5982)	Prec@1 31.000 (36.811)	Prec@5 64.000 (67.676)
Epoch: [10][6020/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.8078 (2.5983)	Prec@1 38.500 (36.811)	Prec@5 65.000 (67.675)
Epoch: [10][6030/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5011 (2.5984)	Prec@1 43.500 (36.812)	Prec@5 69.000 (67.672)
Epoch: [10][6040/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6839 (2.5983)	Prec@1 39.000 (36.815)	Prec@5 63.000 (67.672)
Epoch: [10][6050/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7334 (2.5984)	Prec@1 33.000 (36.814)	Prec@5 66.000 (67.670)
Epoch: [10][6060/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5432 (2.5985)	Prec@1 40.000 (36.812)	Prec@5 66.000 (67.666)
Epoch: [10][6070/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.8268 (2.5986)	Prec@1 29.500 (36.810)	Prec@5 66.000 (67.664)
Epoch: [10][6080/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5688 (2.5985)	Prec@1 38.000 (36.814)	Prec@5 69.000 (67.666)
Epoch: [10][6090/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7428 (2.5984)	Prec@1 38.000 (36.815)	Prec@5 65.500 (67.668)
Epoch: [10][6100/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6452 (2.5986)	Prec@1 35.500 (36.812)	Prec@5 65.000 (67.666)
Epoch: [10][6110/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6096 (2.5987)	Prec@1 36.000 (36.808)	Prec@5 64.500 (67.662)
Epoch: [10][6120/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5791 (2.5987)	Prec@1 40.000 (36.806)	Prec@5 71.000 (67.663)
Epoch: [10][6130/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7176 (2.5986)	Prec@1 35.500 (36.807)	Prec@5 66.500 (67.666)
Epoch: [10][6140/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7035 (2.5986)	Prec@1 34.500 (36.807)	Prec@5 67.500 (67.667)
Epoch: [10][6150/9018]	Time 0.595 (0.615)	Data 0.003 (0.001)	Loss 2.4492 (2.5986)	Prec@1 40.500 (36.803)	Prec@5 72.000 (67.667)
Epoch: [10][6160/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4817 (2.5985)	Prec@1 40.000 (36.806)	Prec@5 72.000 (67.671)
Epoch: [10][6170/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.8313 (2.5986)	Prec@1 34.000 (36.805)	Prec@5 62.500 (67.668)
Epoch: [10][6180/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5538 (2.5986)	Prec@1 39.000 (36.806)	Prec@5 68.000 (67.668)
Epoch: [10][6190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5566 (2.5985)	Prec@1 42.500 (36.810)	Prec@5 67.500 (67.670)
Epoch: [10][6200/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5427 (2.5985)	Prec@1 40.000 (36.811)	Prec@5 71.500 (67.668)
Epoch: [10][6210/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4494 (2.5984)	Prec@1 37.500 (36.814)	Prec@5 70.500 (67.671)
Epoch: [10][6220/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.5949 (2.5984)	Prec@1 34.500 (36.812)	Prec@5 65.000 (67.670)
Epoch: [10][6230/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.8395 (2.5984)	Prec@1 35.500 (36.814)	Prec@5 63.500 (67.669)
Epoch: [10][6240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5231 (2.5984)	Prec@1 34.500 (36.813)	Prec@5 70.000 (67.670)
Epoch: [10][6250/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4614 (2.5984)	Prec@1 42.000 (36.815)	Prec@5 69.000 (67.671)
Epoch: [10][6260/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6550 (2.5985)	Prec@1 33.000 (36.814)	Prec@5 66.500 (67.668)
Epoch: [10][6270/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.5938 (2.5985)	Prec@1 38.000 (36.816)	Prec@5 67.500 (67.667)
Epoch: [10][6280/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6529 (2.5986)	Prec@1 37.000 (36.814)	Prec@5 66.500 (67.664)
Epoch: [10][6290/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4449 (2.5985)	Prec@1 41.500 (36.815)	Prec@5 70.000 (67.666)
Epoch: [10][6300/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6653 (2.5986)	Prec@1 35.000 (36.813)	Prec@5 67.000 (67.665)
Epoch: [10][6310/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3750 (2.5987)	Prec@1 41.500 (36.812)	Prec@5 73.000 (67.662)
Epoch: [10][6320/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7385 (2.5987)	Prec@1 33.500 (36.811)	Prec@5 64.500 (67.661)
Epoch: [10][6330/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5191 (2.5986)	Prec@1 39.500 (36.814)	Prec@5 68.000 (67.664)
Epoch: [10][6340/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.3515 (2.5985)	Prec@1 42.500 (36.818)	Prec@5 67.500 (67.665)
Epoch: [10][6350/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4364 (2.5984)	Prec@1 41.000 (36.819)	Prec@5 69.000 (67.667)
Epoch: [10][6360/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5410 (2.5985)	Prec@1 33.000 (36.818)	Prec@5 67.500 (67.667)
Epoch: [10][6370/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6218 (2.5985)	Prec@1 34.000 (36.817)	Prec@5 67.500 (67.666)
Epoch: [10][6380/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6445 (2.5986)	Prec@1 34.500 (36.818)	Prec@5 66.000 (67.666)
Epoch: [10][6390/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6556 (2.5985)	Prec@1 36.000 (36.817)	Prec@5 66.500 (67.667)
Epoch: [10][6400/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4700 (2.5986)	Prec@1 43.000 (36.817)	Prec@5 68.000 (67.665)
Epoch: [10][6410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8545 (2.5987)	Prec@1 33.000 (36.817)	Prec@5 60.500 (67.663)
Epoch: [10][6420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8065 (2.5987)	Prec@1 34.500 (36.815)	Prec@5 64.500 (67.663)
Epoch: [10][6430/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.4831 (2.5987)	Prec@1 38.500 (36.815)	Prec@5 70.500 (67.663)
Epoch: [10][6440/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5666 (2.5986)	Prec@1 36.000 (36.817)	Prec@5 68.000 (67.665)
Epoch: [10][6450/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6133 (2.5985)	Prec@1 35.500 (36.819)	Prec@5 68.000 (67.665)
Epoch: [10][6460/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4282 (2.5984)	Prec@1 36.000 (36.819)	Prec@5 70.500 (67.668)
Epoch: [10][6470/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4745 (2.5985)	Prec@1 40.000 (36.819)	Prec@5 68.500 (67.667)
Epoch: [10][6480/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7382 (2.5986)	Prec@1 35.500 (36.816)	Prec@5 63.500 (67.663)
Epoch: [10][6490/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4084 (2.5986)	Prec@1 38.000 (36.813)	Prec@5 71.500 (67.664)
Epoch: [10][6500/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5392 (2.5985)	Prec@1 38.500 (36.815)	Prec@5 69.500 (67.667)
Epoch: [10][6510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6300 (2.5984)	Prec@1 36.500 (36.817)	Prec@5 68.000 (67.669)
Epoch: [10][6520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7223 (2.5984)	Prec@1 37.500 (36.817)	Prec@5 65.500 (67.668)
Epoch: [10][6530/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6671 (2.5985)	Prec@1 35.000 (36.817)	Prec@5 67.500 (67.668)
Epoch: [10][6540/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3254 (2.5984)	Prec@1 40.000 (36.817)	Prec@5 74.000 (67.673)
Epoch: [10][6550/9018]	Time 0.708 (0.615)	Data 0.001 (0.001)	Loss 2.4623 (2.5983)	Prec@1 37.500 (36.818)	Prec@5 68.000 (67.674)
Epoch: [10][6560/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5673 (2.5984)	Prec@1 38.500 (36.817)	Prec@5 66.500 (67.671)
Epoch: [10][6570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5240 (2.5983)	Prec@1 39.500 (36.818)	Prec@5 72.000 (67.673)
Epoch: [10][6580/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4328 (2.5982)	Prec@1 41.000 (36.822)	Prec@5 70.000 (67.677)
Epoch: [10][6590/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6467 (2.5982)	Prec@1 36.000 (36.821)	Prec@5 65.500 (67.675)
Epoch: [10][6600/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.3067 (2.5982)	Prec@1 42.500 (36.824)	Prec@5 74.000 (67.676)
Epoch: [10][6610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4913 (2.5981)	Prec@1 37.000 (36.822)	Prec@5 70.000 (67.677)
Epoch: [10][6620/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5556 (2.5981)	Prec@1 38.000 (36.823)	Prec@5 67.500 (67.677)
Epoch: [10][6630/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.8959 (2.5982)	Prec@1 32.500 (36.820)	Prec@5 63.000 (67.674)
Epoch: [10][6640/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4443 (2.5982)	Prec@1 37.000 (36.821)	Prec@5 67.500 (67.673)
Epoch: [10][6650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3669 (2.5982)	Prec@1 39.500 (36.823)	Prec@5 68.500 (67.673)
Epoch: [10][6660/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5227 (2.5983)	Prec@1 38.500 (36.819)	Prec@5 71.000 (67.671)
Epoch: [10][6670/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5891 (2.5983)	Prec@1 36.000 (36.819)	Prec@5 69.000 (67.671)
Epoch: [10][6680/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5496 (2.5983)	Prec@1 37.000 (36.817)	Prec@5 69.000 (67.671)
Epoch: [10][6690/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6239 (2.5983)	Prec@1 35.000 (36.818)	Prec@5 67.000 (67.671)
Epoch: [10][6700/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.3176 (2.5983)	Prec@1 43.000 (36.818)	Prec@5 72.000 (67.670)
Epoch: [10][6710/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6435 (2.5984)	Prec@1 35.500 (36.818)	Prec@5 63.500 (67.669)
Epoch: [10][6720/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5663 (2.5984)	Prec@1 38.500 (36.818)	Prec@5 65.500 (67.666)
Epoch: [10][6730/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5794 (2.5983)	Prec@1 42.000 (36.820)	Prec@5 65.500 (67.666)
Epoch: [10][6740/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5100 (2.5983)	Prec@1 36.000 (36.820)	Prec@5 68.000 (67.665)
Epoch: [10][6750/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6946 (2.5984)	Prec@1 36.000 (36.817)	Prec@5 69.500 (67.664)
Epoch: [10][6760/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5559 (2.5984)	Prec@1 40.000 (36.816)	Prec@5 68.500 (67.664)
Epoch: [10][6770/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7837 (2.5984)	Prec@1 32.500 (36.815)	Prec@5 62.500 (67.663)
Epoch: [10][6780/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3207 (2.5985)	Prec@1 42.000 (36.815)	Prec@5 70.500 (67.663)
Epoch: [10][6790/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.3890 (2.5984)	Prec@1 39.500 (36.815)	Prec@5 71.000 (67.664)
Epoch: [10][6800/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.7632 (2.5985)	Prec@1 38.000 (36.812)	Prec@5 65.000 (67.661)
Epoch: [10][6810/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6142 (2.5986)	Prec@1 36.000 (36.811)	Prec@5 68.500 (67.660)
Epoch: [10][6820/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5244 (2.5987)	Prec@1 40.000 (36.809)	Prec@5 68.500 (67.658)
Epoch: [10][6830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5790 (2.5986)	Prec@1 39.000 (36.811)	Prec@5 65.500 (67.658)
Epoch: [10][6840/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6793 (2.5986)	Prec@1 37.500 (36.812)	Prec@5 64.500 (67.659)
Epoch: [10][6850/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6297 (2.5986)	Prec@1 39.000 (36.812)	Prec@5 65.000 (67.657)
Epoch: [10][6860/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5953 (2.5986)	Prec@1 38.500 (36.813)	Prec@5 69.000 (67.656)
Epoch: [10][6870/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5075 (2.5985)	Prec@1 37.000 (36.815)	Prec@5 67.000 (67.656)
Epoch: [10][6880/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.6450 (2.5986)	Prec@1 36.000 (36.814)	Prec@5 67.500 (67.655)
Epoch: [10][6890/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5813 (2.5986)	Prec@1 39.000 (36.814)	Prec@5 66.500 (67.656)
Epoch: [10][6900/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.8451 (2.5987)	Prec@1 31.000 (36.815)	Prec@5 61.000 (67.655)
Epoch: [10][6910/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5891 (2.5986)	Prec@1 42.500 (36.816)	Prec@5 69.000 (67.655)
Epoch: [10][6920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8439 (2.5986)	Prec@1 29.000 (36.812)	Prec@5 64.000 (67.654)
Epoch: [10][6930/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.5900 (2.5987)	Prec@1 35.000 (36.811)	Prec@5 66.500 (67.653)
Epoch: [10][6940/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7331 (2.5987)	Prec@1 28.500 (36.808)	Prec@5 67.000 (67.652)
Epoch: [10][6950/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 3.0276 (2.5988)	Prec@1 29.000 (36.808)	Prec@5 61.500 (67.651)
Epoch: [10][6960/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5476 (2.5987)	Prec@1 37.000 (36.807)	Prec@5 70.000 (67.655)
Epoch: [10][6970/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6977 (2.5987)	Prec@1 39.000 (36.810)	Prec@5 65.000 (67.656)
Epoch: [10][6980/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6977 (2.5987)	Prec@1 37.500 (36.811)	Prec@5 64.000 (67.655)
Epoch: [10][6990/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5795 (2.5988)	Prec@1 39.000 (36.811)	Prec@5 67.500 (67.653)
Epoch: [10][7000/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3153 (2.5988)	Prec@1 47.000 (36.813)	Prec@5 71.000 (67.652)
Epoch: [10][7010/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5911 (2.5987)	Prec@1 38.500 (36.814)	Prec@5 66.500 (67.653)
Epoch: [10][7020/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7135 (2.5988)	Prec@1 31.000 (36.811)	Prec@5 65.000 (67.652)
Epoch: [10][7030/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6550 (2.5987)	Prec@1 41.500 (36.813)	Prec@5 66.000 (67.652)
Epoch: [10][7040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7051 (2.5988)	Prec@1 33.000 (36.812)	Prec@5 61.500 (67.652)
Epoch: [10][7050/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3676 (2.5987)	Prec@1 43.500 (36.812)	Prec@5 73.500 (67.652)
Epoch: [10][7060/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6678 (2.5987)	Prec@1 34.000 (36.815)	Prec@5 67.500 (67.652)
Epoch: [10][7070/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8031 (2.5987)	Prec@1 34.500 (36.818)	Prec@5 63.500 (67.654)
Epoch: [10][7080/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7046 (2.5986)	Prec@1 33.500 (36.818)	Prec@5 63.500 (67.655)
Epoch: [10][7090/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4543 (2.5987)	Prec@1 38.000 (36.819)	Prec@5 72.500 (67.654)
Epoch: [10][7100/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7623 (2.5987)	Prec@1 34.500 (36.820)	Prec@5 60.500 (67.656)
Epoch: [10][7110/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3709 (2.5987)	Prec@1 39.500 (36.818)	Prec@5 69.000 (67.655)
Epoch: [10][7120/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5461 (2.5986)	Prec@1 32.500 (36.820)	Prec@5 73.000 (67.657)
Epoch: [10][7130/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7188 (2.5987)	Prec@1 38.000 (36.818)	Prec@5 67.000 (67.654)
Epoch: [10][7140/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6075 (2.5987)	Prec@1 31.500 (36.815)	Prec@5 67.000 (67.654)
Epoch: [10][7150/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5396 (2.5987)	Prec@1 39.500 (36.816)	Prec@5 68.500 (67.655)
Epoch: [10][7160/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8800 (2.5987)	Prec@1 29.500 (36.818)	Prec@5 60.000 (67.654)
Epoch: [10][7170/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6218 (2.5988)	Prec@1 40.000 (36.817)	Prec@5 66.000 (67.653)
Epoch: [10][7180/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7018 (2.5988)	Prec@1 36.500 (36.816)	Prec@5 64.000 (67.651)
Epoch: [10][7190/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5953 (2.5989)	Prec@1 33.000 (36.814)	Prec@5 69.000 (67.650)
Epoch: [10][7200/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5552 (2.5989)	Prec@1 41.500 (36.814)	Prec@5 66.500 (67.649)
Epoch: [10][7210/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.6387 (2.5989)	Prec@1 40.000 (36.815)	Prec@5 66.000 (67.649)
Epoch: [10][7220/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6389 (2.5988)	Prec@1 37.000 (36.815)	Prec@5 69.000 (67.651)
Epoch: [10][7230/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5990 (2.5988)	Prec@1 33.000 (36.816)	Prec@5 69.000 (67.651)
Epoch: [10][7240/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5215 (2.5988)	Prec@1 37.500 (36.817)	Prec@5 73.000 (67.653)
Epoch: [10][7250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8160 (2.5989)	Prec@1 33.500 (36.816)	Prec@5 64.000 (67.650)
Epoch: [10][7260/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.6995 (2.5989)	Prec@1 37.000 (36.815)	Prec@5 60.500 (67.648)
Epoch: [10][7270/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6339 (2.5989)	Prec@1 38.000 (36.815)	Prec@5 72.000 (67.650)
Epoch: [10][7280/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6145 (2.5989)	Prec@1 38.000 (36.815)	Prec@5 63.500 (67.648)
Epoch: [10][7290/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6042 (2.5990)	Prec@1 32.500 (36.814)	Prec@5 66.500 (67.649)
Epoch: [10][7300/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5659 (2.5989)	Prec@1 38.000 (36.814)	Prec@5 68.500 (67.650)
Epoch: [10][7310/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4421 (2.5989)	Prec@1 39.500 (36.816)	Prec@5 67.500 (67.652)
Epoch: [10][7320/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5069 (2.5989)	Prec@1 34.500 (36.812)	Prec@5 71.000 (67.652)
Epoch: [10][7330/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3550 (2.5988)	Prec@1 37.000 (36.813)	Prec@5 72.500 (67.653)
Epoch: [10][7340/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5391 (2.5988)	Prec@1 33.500 (36.813)	Prec@5 70.500 (67.653)
Epoch: [10][7350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5385 (2.5988)	Prec@1 40.000 (36.816)	Prec@5 70.500 (67.652)
Epoch: [10][7360/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6146 (2.5987)	Prec@1 40.500 (36.818)	Prec@5 70.000 (67.653)
Epoch: [10][7370/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7492 (2.5988)	Prec@1 35.000 (36.817)	Prec@5 69.000 (67.652)
Epoch: [10][7380/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5029 (2.5988)	Prec@1 39.000 (36.818)	Prec@5 67.500 (67.652)
Epoch: [10][7390/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5364 (2.5988)	Prec@1 41.000 (36.818)	Prec@5 67.000 (67.651)
Epoch: [10][7400/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6122 (2.5987)	Prec@1 37.000 (36.820)	Prec@5 66.000 (67.652)
Epoch: [10][7410/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.8157 (2.5987)	Prec@1 36.500 (36.819)	Prec@5 63.000 (67.651)
Epoch: [10][7420/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6101 (2.5988)	Prec@1 40.500 (36.819)	Prec@5 69.000 (67.650)
Epoch: [10][7430/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6413 (2.5988)	Prec@1 34.500 (36.818)	Prec@5 67.500 (67.649)
Epoch: [10][7440/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4222 (2.5988)	Prec@1 39.000 (36.820)	Prec@5 68.000 (67.651)
Epoch: [10][7450/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6886 (2.5988)	Prec@1 35.000 (36.821)	Prec@5 68.000 (67.651)
Epoch: [10][7460/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6927 (2.5988)	Prec@1 37.000 (36.821)	Prec@5 64.500 (67.651)
Epoch: [10][7470/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5329 (2.5987)	Prec@1 42.500 (36.823)	Prec@5 69.500 (67.652)
Epoch: [10][7480/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6197 (2.5987)	Prec@1 33.500 (36.823)	Prec@5 68.000 (67.651)
Epoch: [10][7490/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6451 (2.5987)	Prec@1 36.500 (36.822)	Prec@5 68.500 (67.652)
Epoch: [10][7500/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6006 (2.5987)	Prec@1 34.000 (36.820)	Prec@5 68.500 (67.653)
Epoch: [10][7510/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7437 (2.5988)	Prec@1 35.000 (36.821)	Prec@5 67.500 (67.653)
Epoch: [10][7520/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.6718 (2.5987)	Prec@1 34.500 (36.820)	Prec@5 67.000 (67.653)
Epoch: [10][7530/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.8088 (2.5987)	Prec@1 29.500 (36.822)	Prec@5 64.000 (67.655)
Epoch: [10][7540/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.7110 (2.5988)	Prec@1 37.000 (36.822)	Prec@5 65.000 (67.655)
Epoch: [10][7550/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4935 (2.5987)	Prec@1 39.500 (36.822)	Prec@5 71.500 (67.657)
Epoch: [10][7560/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6072 (2.5987)	Prec@1 31.000 (36.821)	Prec@5 67.500 (67.656)
Epoch: [10][7570/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4535 (2.5987)	Prec@1 41.000 (36.821)	Prec@5 67.000 (67.656)
Epoch: [10][7580/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4289 (2.5986)	Prec@1 38.500 (36.823)	Prec@5 73.500 (67.658)
Epoch: [10][7590/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.5543 (2.5986)	Prec@1 38.500 (36.823)	Prec@5 69.000 (67.659)
Epoch: [10][7600/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7676 (2.5987)	Prec@1 34.500 (36.823)	Prec@5 64.500 (67.657)
Epoch: [10][7610/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6660 (2.5987)	Prec@1 35.000 (36.822)	Prec@5 66.000 (67.656)
Epoch: [10][7620/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6839 (2.5988)	Prec@1 33.500 (36.821)	Prec@5 68.500 (67.654)
Epoch: [10][7630/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7321 (2.5989)	Prec@1 38.500 (36.822)	Prec@5 64.000 (67.654)
Epoch: [10][7640/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6547 (2.5988)	Prec@1 35.000 (36.824)	Prec@5 70.000 (67.658)
Epoch: [10][7650/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5717 (2.5987)	Prec@1 36.000 (36.826)	Prec@5 68.500 (67.659)
Epoch: [10][7660/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.9972 (2.5987)	Prec@1 31.500 (36.826)	Prec@5 60.000 (67.659)
Epoch: [10][7670/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4249 (2.5986)	Prec@1 38.000 (36.827)	Prec@5 71.500 (67.660)
Epoch: [10][7680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7162 (2.5987)	Prec@1 35.500 (36.824)	Prec@5 67.000 (67.659)
Epoch: [10][7690/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7162 (2.5987)	Prec@1 34.000 (36.823)	Prec@5 67.500 (67.659)
Epoch: [10][7700/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6033 (2.5987)	Prec@1 38.500 (36.824)	Prec@5 66.500 (67.658)
Epoch: [10][7710/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7062 (2.5988)	Prec@1 33.500 (36.822)	Prec@5 62.500 (67.656)
Epoch: [10][7720/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7642 (2.5989)	Prec@1 33.500 (36.824)	Prec@5 60.500 (67.655)
Epoch: [10][7730/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6713 (2.5989)	Prec@1 34.000 (36.822)	Prec@5 66.000 (67.655)
Epoch: [10][7740/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5788 (2.5989)	Prec@1 40.500 (36.823)	Prec@5 68.500 (67.656)
Epoch: [10][7750/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5653 (2.5989)	Prec@1 35.000 (36.821)	Prec@5 69.500 (67.655)
Epoch: [10][7760/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6117 (2.5989)	Prec@1 35.500 (36.821)	Prec@5 66.000 (67.656)
Epoch: [10][7770/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6972 (2.5989)	Prec@1 32.500 (36.820)	Prec@5 66.000 (67.655)
Epoch: [10][7780/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5369 (2.5989)	Prec@1 33.500 (36.821)	Prec@5 66.500 (67.655)
Epoch: [10][7790/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6173 (2.5989)	Prec@1 36.500 (36.819)	Prec@5 63.500 (67.654)
Epoch: [10][7800/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5701 (2.5990)	Prec@1 42.500 (36.818)	Prec@5 63.500 (67.652)
Epoch: [10][7810/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5124 (2.5990)	Prec@1 41.500 (36.819)	Prec@5 70.000 (67.653)
Epoch: [10][7820/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 2.6785 (2.5991)	Prec@1 31.500 (36.817)	Prec@5 68.500 (67.653)
Epoch: [10][7830/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4334 (2.5991)	Prec@1 40.000 (36.817)	Prec@5 69.000 (67.651)
Epoch: [10][7840/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5274 (2.5991)	Prec@1 38.000 (36.816)	Prec@5 71.000 (67.651)
Epoch: [10][7850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5991 (2.5990)	Prec@1 36.000 (36.816)	Prec@5 68.000 (67.651)
Epoch: [10][7860/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5322 (2.5990)	Prec@1 39.000 (36.816)	Prec@5 68.500 (67.651)
Epoch: [10][7870/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.6547 (2.5991)	Prec@1 35.500 (36.815)	Prec@5 68.500 (67.651)
Epoch: [10][7880/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4808 (2.5991)	Prec@1 35.500 (36.815)	Prec@5 67.500 (67.650)
Epoch: [10][7890/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7233 (2.5991)	Prec@1 34.000 (36.813)	Prec@5 65.500 (67.647)
Epoch: [10][7900/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4155 (2.5991)	Prec@1 39.500 (36.814)	Prec@5 70.500 (67.648)
Epoch: [10][7910/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6777 (2.5991)	Prec@1 34.000 (36.814)	Prec@5 64.000 (67.647)
Epoch: [10][7920/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6293 (2.5991)	Prec@1 34.000 (36.815)	Prec@5 66.000 (67.647)
Epoch: [10][7930/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4269 (2.5991)	Prec@1 39.000 (36.815)	Prec@5 68.500 (67.647)
Epoch: [10][7940/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4947 (2.5991)	Prec@1 36.500 (36.815)	Prec@5 71.500 (67.646)
Epoch: [10][7950/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7254 (2.5992)	Prec@1 34.000 (36.812)	Prec@5 68.000 (67.647)
Epoch: [10][7960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4029 (2.5992)	Prec@1 36.500 (36.811)	Prec@5 71.000 (67.646)
Epoch: [10][7970/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6697 (2.5991)	Prec@1 37.500 (36.812)	Prec@5 63.000 (67.646)
Epoch: [10][7980/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6279 (2.5992)	Prec@1 35.000 (36.812)	Prec@5 66.500 (67.646)
Epoch: [10][7990/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6646 (2.5992)	Prec@1 39.000 (36.812)	Prec@5 64.500 (67.645)
Epoch: [10][8000/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5129 (2.5992)	Prec@1 38.500 (36.812)	Prec@5 66.000 (67.644)
Epoch: [10][8010/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5426 (2.5991)	Prec@1 38.500 (36.815)	Prec@5 66.500 (67.645)
Epoch: [10][8020/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2869 (2.5990)	Prec@1 46.000 (36.815)	Prec@5 76.000 (67.648)
Epoch: [10][8030/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6610 (2.5992)	Prec@1 37.500 (36.810)	Prec@5 65.000 (67.646)
Epoch: [10][8040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5543 (2.5992)	Prec@1 39.000 (36.811)	Prec@5 67.500 (67.646)
Epoch: [10][8050/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5837 (2.5991)	Prec@1 33.500 (36.813)	Prec@5 69.000 (67.649)
Epoch: [10][8060/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6191 (2.5991)	Prec@1 34.000 (36.814)	Prec@5 64.000 (67.649)
Epoch: [10][8070/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5450 (2.5990)	Prec@1 39.500 (36.814)	Prec@5 70.500 (67.650)
Epoch: [10][8080/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.8187 (2.5989)	Prec@1 31.500 (36.815)	Prec@5 63.000 (67.652)
Epoch: [10][8090/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5038 (2.5988)	Prec@1 36.000 (36.816)	Prec@5 67.000 (67.654)
Epoch: [10][8100/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4335 (2.5988)	Prec@1 36.500 (36.816)	Prec@5 72.000 (67.654)
Epoch: [10][8110/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7197 (2.5987)	Prec@1 30.000 (36.814)	Prec@5 63.000 (67.657)
Epoch: [10][8120/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.7572 (2.5987)	Prec@1 35.000 (36.815)	Prec@5 60.500 (67.657)
Epoch: [10][8130/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5948 (2.5987)	Prec@1 38.500 (36.814)	Prec@5 66.000 (67.657)
Epoch: [10][8140/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3237 (2.5986)	Prec@1 37.500 (36.816)	Prec@5 72.500 (67.658)
Epoch: [10][8150/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.6148 (2.5986)	Prec@1 39.500 (36.816)	Prec@5 62.500 (67.657)
Epoch: [10][8160/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4326 (2.5987)	Prec@1 40.000 (36.816)	Prec@5 71.000 (67.655)
Epoch: [10][8170/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5170 (2.5986)	Prec@1 41.000 (36.817)	Prec@5 65.500 (67.656)
Epoch: [10][8180/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5270 (2.5986)	Prec@1 33.500 (36.815)	Prec@5 71.000 (67.657)
Epoch: [10][8190/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4843 (2.5986)	Prec@1 40.000 (36.817)	Prec@5 70.500 (67.658)
Epoch: [10][8200/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.4739 (2.5985)	Prec@1 39.500 (36.819)	Prec@5 70.500 (67.660)
Epoch: [10][8210/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7514 (2.5985)	Prec@1 34.000 (36.820)	Prec@5 63.000 (67.660)
Epoch: [10][8220/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6766 (2.5985)	Prec@1 36.500 (36.820)	Prec@5 63.000 (67.661)
Epoch: [10][8230/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5594 (2.5985)	Prec@1 38.000 (36.819)	Prec@5 69.000 (67.660)
Epoch: [10][8240/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4527 (2.5985)	Prec@1 39.000 (36.820)	Prec@5 70.500 (67.660)
Epoch: [10][8250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 3.0285 (2.5986)	Prec@1 31.000 (36.818)	Prec@5 55.500 (67.657)
Epoch: [10][8260/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5843 (2.5987)	Prec@1 35.500 (36.817)	Prec@5 70.500 (67.656)
Epoch: [10][8270/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4972 (2.5987)	Prec@1 41.000 (36.817)	Prec@5 71.500 (67.657)
Epoch: [10][8280/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5076 (2.5986)	Prec@1 36.500 (36.819)	Prec@5 66.500 (67.657)
Epoch: [10][8290/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6044 (2.5986)	Prec@1 37.500 (36.819)	Prec@5 69.000 (67.657)
Epoch: [10][8300/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6162 (2.5986)	Prec@1 36.000 (36.818)	Prec@5 64.500 (67.655)
Epoch: [10][8310/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5949 (2.5987)	Prec@1 37.000 (36.817)	Prec@5 68.000 (67.654)
Epoch: [10][8320/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.5249 (2.5986)	Prec@1 42.500 (36.819)	Prec@5 71.500 (67.655)
Epoch: [10][8330/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6269 (2.5986)	Prec@1 38.500 (36.819)	Prec@5 68.000 (67.656)
Epoch: [10][8340/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8684 (2.5988)	Prec@1 30.500 (36.816)	Prec@5 60.500 (67.653)
Epoch: [10][8350/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.6590 (2.5988)	Prec@1 39.000 (36.816)	Prec@5 64.500 (67.652)
Epoch: [10][8360/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5278 (2.5988)	Prec@1 42.000 (36.818)	Prec@5 68.000 (67.652)
Epoch: [10][8370/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5856 (2.5988)	Prec@1 34.000 (36.817)	Prec@5 67.000 (67.651)
Epoch: [10][8380/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8003 (2.5989)	Prec@1 29.500 (36.815)	Prec@5 66.000 (67.648)
Epoch: [10][8390/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.6611 (2.5989)	Prec@1 43.000 (36.815)	Prec@5 67.000 (67.646)
Epoch: [10][8400/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.9773 (2.5990)	Prec@1 33.500 (36.815)	Prec@5 56.500 (67.645)
Epoch: [10][8410/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5626 (2.5990)	Prec@1 38.500 (36.816)	Prec@5 67.000 (67.644)
Epoch: [10][8420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6555 (2.5990)	Prec@1 36.000 (36.815)	Prec@5 62.000 (67.644)
Epoch: [10][8430/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4949 (2.5990)	Prec@1 39.500 (36.816)	Prec@5 74.500 (67.644)
Epoch: [10][8440/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3765 (2.5990)	Prec@1 43.000 (36.816)	Prec@5 71.500 (67.643)
Epoch: [10][8450/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8020 (2.5990)	Prec@1 36.500 (36.813)	Prec@5 65.000 (67.644)
Epoch: [10][8460/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7039 (2.5990)	Prec@1 36.500 (36.814)	Prec@5 67.500 (67.645)
Epoch: [10][8470/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4902 (2.5991)	Prec@1 40.500 (36.813)	Prec@5 67.500 (67.642)
Epoch: [10][8480/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.7644 (2.5991)	Prec@1 34.500 (36.812)	Prec@5 62.500 (67.641)
Epoch: [10][8490/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.8314 (2.5991)	Prec@1 35.500 (36.813)	Prec@5 64.500 (67.640)
Epoch: [10][8500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7505 (2.5991)	Prec@1 34.000 (36.812)	Prec@5 66.000 (67.640)
Epoch: [10][8510/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5246 (2.5990)	Prec@1 40.000 (36.814)	Prec@5 69.000 (67.643)
Epoch: [10][8520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5259 (2.5990)	Prec@1 38.000 (36.815)	Prec@5 67.000 (67.643)
Epoch: [10][8530/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.5930 (2.5990)	Prec@1 38.500 (36.814)	Prec@5 66.000 (67.644)
Epoch: [10][8540/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6304 (2.5990)	Prec@1 34.000 (36.815)	Prec@5 66.000 (67.645)
Epoch: [10][8550/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7791 (2.5990)	Prec@1 36.500 (36.816)	Prec@5 62.000 (67.644)
Epoch: [10][8560/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7626 (2.5990)	Prec@1 33.000 (36.816)	Prec@5 62.000 (67.644)
Epoch: [10][8570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5554 (2.5990)	Prec@1 38.500 (36.816)	Prec@5 66.500 (67.645)
Epoch: [10][8580/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7955 (2.5990)	Prec@1 32.500 (36.814)	Prec@5 65.000 (67.645)
Epoch: [10][8590/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7365 (2.5990)	Prec@1 38.500 (36.815)	Prec@5 59.500 (67.644)
Epoch: [10][8600/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4483 (2.5990)	Prec@1 44.000 (36.815)	Prec@5 69.500 (67.645)
Epoch: [10][8610/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6517 (2.5990)	Prec@1 39.000 (36.816)	Prec@5 66.500 (67.645)
Epoch: [10][8620/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5612 (2.5990)	Prec@1 34.500 (36.815)	Prec@5 68.500 (67.644)
Epoch: [10][8630/9018]	Time 0.651 (0.615)	Data 0.001 (0.001)	Loss 2.5421 (2.5990)	Prec@1 36.500 (36.815)	Prec@5 66.000 (67.644)
Epoch: [10][8640/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5141 (2.5990)	Prec@1 33.000 (36.815)	Prec@5 68.000 (67.644)
Epoch: [10][8650/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7910 (2.5990)	Prec@1 36.000 (36.815)	Prec@5 65.000 (67.644)
Epoch: [10][8660/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.3470 (2.5989)	Prec@1 39.500 (36.815)	Prec@5 73.500 (67.644)
Epoch: [10][8670/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4352 (2.5989)	Prec@1 39.000 (36.816)	Prec@5 72.000 (67.646)
Epoch: [10][8680/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3470 (2.5989)	Prec@1 40.500 (36.815)	Prec@5 73.000 (67.646)
Epoch: [10][8690/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4914 (2.5989)	Prec@1 38.500 (36.817)	Prec@5 71.000 (67.645)
Epoch: [10][8700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.9384 (2.5989)	Prec@1 31.000 (36.817)	Prec@5 65.000 (67.646)
Epoch: [10][8710/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8863 (2.5989)	Prec@1 35.000 (36.817)	Prec@5 62.000 (67.647)
Epoch: [10][8720/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5555 (2.5987)	Prec@1 37.500 (36.818)	Prec@5 68.500 (67.650)
Epoch: [10][8730/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5872 (2.5987)	Prec@1 34.000 (36.819)	Prec@5 68.500 (67.650)
Epoch: [10][8740/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5961 (2.5987)	Prec@1 35.500 (36.818)	Prec@5 69.500 (67.651)
Epoch: [10][8750/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8943 (2.5988)	Prec@1 28.500 (36.817)	Prec@5 60.500 (67.649)
Epoch: [10][8760/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6964 (2.5987)	Prec@1 37.000 (36.817)	Prec@5 66.000 (67.649)
Epoch: [10][8770/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6908 (2.5987)	Prec@1 36.000 (36.818)	Prec@5 65.500 (67.651)
Epoch: [10][8780/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7762 (2.5988)	Prec@1 32.500 (36.814)	Prec@5 65.000 (67.650)
Epoch: [10][8790/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5459 (2.5988)	Prec@1 34.500 (36.813)	Prec@5 67.500 (67.649)
Epoch: [10][8800/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8012 (2.5988)	Prec@1 31.500 (36.813)	Prec@5 63.500 (67.650)
Epoch: [10][8810/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.2961 (2.5987)	Prec@1 44.000 (36.814)	Prec@5 76.000 (67.652)
Epoch: [10][8820/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5793 (2.5986)	Prec@1 39.000 (36.817)	Prec@5 67.000 (67.655)
Epoch: [10][8830/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6476 (2.5986)	Prec@1 37.000 (36.816)	Prec@5 63.500 (67.654)
Epoch: [10][8840/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5315 (2.5987)	Prec@1 38.000 (36.815)	Prec@5 68.500 (67.652)
Epoch: [10][8850/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7673 (2.5987)	Prec@1 31.500 (36.815)	Prec@5 65.500 (67.651)
Epoch: [10][8860/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.3932 (2.5987)	Prec@1 44.000 (36.815)	Prec@5 72.000 (67.651)
Epoch: [10][8870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4702 (2.5987)	Prec@1 38.000 (36.814)	Prec@5 71.000 (67.651)
Epoch: [10][8880/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3228 (2.5986)	Prec@1 42.000 (36.815)	Prec@5 72.500 (67.654)
Epoch: [10][8890/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6008 (2.5986)	Prec@1 38.500 (36.814)	Prec@5 65.500 (67.654)
Epoch: [10][8900/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7172 (2.5986)	Prec@1 37.500 (36.813)	Prec@5 62.500 (67.652)
Epoch: [10][8910/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5189 (2.5986)	Prec@1 34.000 (36.813)	Prec@5 72.500 (67.652)
Epoch: [10][8920/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4189 (2.5986)	Prec@1 39.500 (36.814)	Prec@5 69.000 (67.653)
Epoch: [10][8930/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4782 (2.5985)	Prec@1 36.000 (36.813)	Prec@5 72.500 (67.653)
Epoch: [10][8940/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3543 (2.5985)	Prec@1 43.000 (36.814)	Prec@5 71.500 (67.654)
Epoch: [10][8950/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4211 (2.5984)	Prec@1 38.000 (36.813)	Prec@5 69.000 (67.654)
Epoch: [10][8960/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6446 (2.5984)	Prec@1 37.500 (36.814)	Prec@5 68.000 (67.655)
Epoch: [10][8970/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8080 (2.5985)	Prec@1 35.000 (36.815)	Prec@5 65.500 (67.655)
Epoch: [10][8980/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5413 (2.5985)	Prec@1 35.000 (36.814)	Prec@5 65.500 (67.653)
Epoch: [10][8990/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5614 (2.5985)	Prec@1 34.500 (36.814)	Prec@5 71.000 (67.653)
Epoch: [10][9000/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6042 (2.5985)	Prec@1 36.500 (36.815)	Prec@5 69.500 (67.653)
Epoch: [10][9010/9018]	Time 0.611 (0.615)	Data 0.000 (0.001)	Loss 2.8283 (2.5985)	Prec@1 37.500 (36.814)	Prec@5 62.000 (67.652)
Test: [0/183]	Time 1.441 (1.441)	Loss 2.6444 (2.6444)	Prec@1 37.000 (37.000)	Prec@5 66.500 (66.500)
Test: [10/183]	Time 0.202 (0.318)	Loss 2.6070 (2.4325)	Prec@1 36.500 (39.091)	Prec@5 72.500 (72.773)
Test: [20/183]	Time 0.189 (0.257)	Loss 2.4216 (2.3905)	Prec@1 40.500 (39.000)	Prec@5 71.500 (72.929)
Test: [30/183]	Time 0.187 (0.237)	Loss 2.4415 (2.3976)	Prec@1 32.500 (38.581)	Prec@5 68.500 (72.565)
Test: [40/183]	Time 0.271 (0.228)	Loss 3.0049 (2.3556)	Prec@1 23.500 (40.524)	Prec@5 66.500 (72.890)
Test: [50/183]	Time 0.192 (0.220)	Loss 2.2592 (2.3097)	Prec@1 39.000 (41.873)	Prec@5 75.000 (73.588)
Test: [60/183]	Time 0.191 (0.217)	Loss 2.6629 (2.3715)	Prec@1 39.500 (40.582)	Prec@5 62.000 (72.320)
Test: [70/183]	Time 0.192 (0.212)	Loss 2.7609 (2.3800)	Prec@1 33.500 (40.218)	Prec@5 63.500 (72.225)
Test: [80/183]	Time 0.191 (0.211)	Loss 1.6842 (2.3489)	Prec@1 58.000 (40.809)	Prec@5 85.000 (73.000)
Test: [90/183]	Time 0.243 (0.209)	Loss 2.5350 (2.3478)	Prec@1 40.500 (40.643)	Prec@5 74.000 (73.088)
Test: [100/183]	Time 0.201 (0.208)	Loss 1.5586 (2.3403)	Prec@1 61.500 (40.822)	Prec@5 83.500 (73.218)
Test: [110/183]	Time 0.184 (0.208)	Loss 1.2314 (2.3354)	Prec@1 66.500 (40.865)	Prec@5 91.500 (73.270)
Test: [120/183]	Time 0.192 (0.206)	Loss 3.5309 (2.3237)	Prec@1 15.000 (41.041)	Prec@5 45.500 (73.471)
Test: [130/183]	Time 0.203 (0.206)	Loss 3.4570 (2.3176)	Prec@1 8.000 (41.031)	Prec@5 56.500 (73.763)
Test: [140/183]	Time 0.244 (0.205)	Loss 2.2763 (2.2952)	Prec@1 46.000 (41.638)	Prec@5 73.500 (74.230)
Test: [150/183]	Time 0.215 (0.204)	Loss 1.3808 (2.2839)	Prec@1 63.000 (41.954)	Prec@5 88.500 (74.358)
Test: [160/183]	Time 0.190 (0.204)	Loss 1.8833 (2.2742)	Prec@1 49.500 (42.214)	Prec@5 79.000 (74.484)
Test: [170/183]	Time 0.195 (0.204)	Loss 2.9584 (2.2830)	Prec@1 19.500 (41.906)	Prec@5 67.000 (74.406)
Test: [180/183]	Time 0.183 (0.203)	Loss 2.7833 (2.2904)	Prec@1 25.500 (41.837)	Prec@5 68.500 (74.202)
 * Prec@1 41.863 Prec@5 74.203
Epoch: [11][0/9018]	Time 3.534 (3.534)	Data 2.890 (2.890)	Loss 2.6861 (2.6861)	Prec@1 37.500 (37.500)	Prec@5 63.500 (63.500)
Epoch: [11][10/9018]	Time 0.593 (0.874)	Data 0.001 (0.263)	Loss 2.8496 (2.6170)	Prec@1 32.000 (37.364)	Prec@5 63.000 (67.364)
Epoch: [11][20/9018]	Time 0.594 (0.741)	Data 0.001 (0.138)	Loss 2.5397 (2.5918)	Prec@1 38.000 (37.214)	Prec@5 66.500 (67.619)
Epoch: [11][30/9018]	Time 0.591 (0.700)	Data 0.001 (0.094)	Loss 2.5023 (2.5860)	Prec@1 37.500 (37.419)	Prec@5 72.500 (67.774)
Epoch: [11][40/9018]	Time 0.626 (0.680)	Data 0.001 (0.071)	Loss 2.4885 (2.5809)	Prec@1 37.000 (37.232)	Prec@5 68.500 (67.878)
Epoch: [11][50/9018]	Time 0.634 (0.665)	Data 0.001 (0.057)	Loss 2.4731 (2.5732)	Prec@1 42.000 (37.255)	Prec@5 69.000 (68.088)
Epoch: [11][60/9018]	Time 0.592 (0.658)	Data 0.001 (0.048)	Loss 2.6407 (2.5651)	Prec@1 38.000 (37.336)	Prec@5 65.500 (68.336)
Epoch: [11][70/9018]	Time 0.613 (0.651)	Data 0.001 (0.041)	Loss 2.5640 (2.5613)	Prec@1 36.500 (37.338)	Prec@5 67.500 (68.563)
Epoch: [11][80/9018]	Time 0.594 (0.646)	Data 0.001 (0.036)	Loss 2.4404 (2.5609)	Prec@1 41.000 (37.389)	Prec@5 68.000 (68.531)
Epoch: [11][90/9018]	Time 0.630 (0.645)	Data 0.001 (0.033)	Loss 2.5856 (2.5614)	Prec@1 31.000 (37.335)	Prec@5 68.000 (68.478)
Epoch: [11][100/9018]	Time 0.597 (0.642)	Data 0.001 (0.029)	Loss 2.6845 (2.5573)	Prec@1 36.000 (37.376)	Prec@5 62.500 (68.406)
Epoch: [11][110/9018]	Time 0.593 (0.639)	Data 0.001 (0.027)	Loss 2.6981 (2.5628)	Prec@1 30.000 (37.360)	Prec@5 61.500 (68.279)
Epoch: [11][120/9018]	Time 0.587 (0.637)	Data 0.001 (0.025)	Loss 2.5286 (2.5633)	Prec@1 37.000 (37.500)	Prec@5 68.500 (68.260)
Epoch: [11][130/9018]	Time 0.592 (0.636)	Data 0.001 (0.023)	Loss 2.5820 (2.5595)	Prec@1 35.000 (37.599)	Prec@5 69.000 (68.305)
Epoch: [11][140/9018]	Time 0.606 (0.635)	Data 0.001 (0.021)	Loss 2.2777 (2.5633)	Prec@1 43.000 (37.528)	Prec@5 73.000 (68.191)
Epoch: [11][150/9018]	Time 0.628 (0.633)	Data 0.001 (0.020)	Loss 2.6752 (2.5620)	Prec@1 35.500 (37.530)	Prec@5 63.500 (68.179)
Epoch: [11][160/9018]	Time 0.629 (0.633)	Data 0.001 (0.019)	Loss 2.7434 (2.5640)	Prec@1 31.500 (37.543)	Prec@5 64.000 (68.174)
Epoch: [11][170/9018]	Time 0.593 (0.632)	Data 0.001 (0.018)	Loss 2.8065 (2.5698)	Prec@1 29.500 (37.415)	Prec@5 63.500 (67.997)
Epoch: [11][180/9018]	Time 0.608 (0.631)	Data 0.001 (0.017)	Loss 2.3470 (2.5687)	Prec@1 40.000 (37.470)	Prec@5 72.500 (68.025)
Epoch: [11][190/9018]	Time 0.597 (0.631)	Data 0.001 (0.016)	Loss 3.1217 (2.5718)	Prec@1 23.500 (37.390)	Prec@5 61.000 (67.958)
Epoch: [11][200/9018]	Time 0.620 (0.629)	Data 0.001 (0.015)	Loss 2.6166 (2.5714)	Prec@1 33.500 (37.363)	Prec@5 67.000 (67.995)
Epoch: [11][210/9018]	Time 0.593 (0.629)	Data 0.001 (0.014)	Loss 2.4924 (2.5719)	Prec@1 36.000 (37.329)	Prec@5 71.000 (68.019)
Epoch: [11][220/9018]	Time 0.758 (0.628)	Data 0.001 (0.014)	Loss 2.4777 (2.5724)	Prec@1 38.500 (37.333)	Prec@5 67.000 (68.002)
Epoch: [11][230/9018]	Time 0.614 (0.627)	Data 0.001 (0.013)	Loss 2.5040 (2.5702)	Prec@1 37.500 (37.307)	Prec@5 66.500 (68.058)
Epoch: [11][240/9018]	Time 0.596 (0.627)	Data 0.001 (0.013)	Loss 2.6975 (2.5700)	Prec@1 38.000 (37.324)	Prec@5 72.000 (68.083)
Epoch: [11][250/9018]	Time 0.596 (0.626)	Data 0.001 (0.012)	Loss 2.4744 (2.5702)	Prec@1 35.000 (37.315)	Prec@5 68.500 (68.086)
Epoch: [11][260/9018]	Time 0.601 (0.626)	Data 0.001 (0.012)	Loss 2.4772 (2.5712)	Prec@1 39.500 (37.259)	Prec@5 71.000 (68.048)
Epoch: [11][270/9018]	Time 0.718 (0.626)	Data 0.001 (0.011)	Loss 2.6676 (2.5742)	Prec@1 35.000 (37.221)	Prec@5 64.500 (67.989)
Epoch: [11][280/9018]	Time 0.629 (0.625)	Data 0.001 (0.011)	Loss 2.6917 (2.5775)	Prec@1 36.000 (37.158)	Prec@5 70.000 (67.996)
Epoch: [11][290/9018]	Time 0.594 (0.625)	Data 0.001 (0.011)	Loss 2.5803 (2.5778)	Prec@1 40.000 (37.158)	Prec@5 70.500 (67.998)
Epoch: [11][300/9018]	Time 0.636 (0.624)	Data 0.001 (0.010)	Loss 2.4426 (2.5790)	Prec@1 36.500 (37.110)	Prec@5 72.000 (68.005)
Epoch: [11][310/9018]	Time 0.602 (0.624)	Data 0.001 (0.010)	Loss 2.4785 (2.5777)	Prec@1 42.000 (37.169)	Prec@5 70.000 (68.008)
Epoch: [11][320/9018]	Time 0.603 (0.624)	Data 0.001 (0.010)	Loss 2.3546 (2.5762)	Prec@1 40.000 (37.201)	Prec@5 68.500 (68.025)
Epoch: [11][330/9018]	Time 0.620 (0.623)	Data 0.001 (0.009)	Loss 2.6987 (2.5763)	Prec@1 43.000 (37.252)	Prec@5 70.000 (68.024)
Epoch: [11][340/9018]	Time 0.604 (0.623)	Data 0.001 (0.009)	Loss 2.4704 (2.5737)	Prec@1 37.500 (37.274)	Prec@5 72.000 (68.119)
Epoch: [11][350/9018]	Time 0.602 (0.623)	Data 0.001 (0.009)	Loss 2.5275 (2.5740)	Prec@1 37.000 (37.269)	Prec@5 70.000 (68.101)
Epoch: [11][360/9018]	Time 0.631 (0.623)	Data 0.001 (0.009)	Loss 2.5653 (2.5745)	Prec@1 37.500 (37.251)	Prec@5 70.500 (68.107)
Epoch: [11][370/9018]	Time 0.611 (0.623)	Data 0.001 (0.009)	Loss 2.5407 (2.5743)	Prec@1 44.000 (37.260)	Prec@5 69.500 (68.119)
Epoch: [11][380/9018]	Time 0.611 (0.622)	Data 0.001 (0.008)	Loss 2.7493 (2.5743)	Prec@1 30.500 (37.249)	Prec@5 70.000 (68.144)
Epoch: [11][390/9018]	Time 0.601 (0.622)	Data 0.001 (0.008)	Loss 2.6823 (2.5750)	Prec@1 33.500 (37.256)	Prec@5 70.000 (68.147)
Epoch: [11][400/9018]	Time 0.620 (0.622)	Data 0.001 (0.008)	Loss 2.7057 (2.5755)	Prec@1 33.500 (37.236)	Prec@5 67.500 (68.135)
Epoch: [11][410/9018]	Time 0.601 (0.622)	Data 0.001 (0.008)	Loss 2.5347 (2.5757)	Prec@1 39.500 (37.226)	Prec@5 69.000 (68.124)
Epoch: [11][420/9018]	Time 0.592 (0.622)	Data 0.001 (0.008)	Loss 2.6157 (2.5739)	Prec@1 37.500 (37.241)	Prec@5 62.500 (68.150)
Epoch: [11][430/9018]	Time 0.595 (0.621)	Data 0.001 (0.007)	Loss 2.5801 (2.5732)	Prec@1 39.500 (37.254)	Prec@5 68.000 (68.174)
Epoch: [11][440/9018]	Time 0.594 (0.621)	Data 0.001 (0.007)	Loss 2.5516 (2.5734)	Prec@1 41.500 (37.240)	Prec@5 65.000 (68.158)
Epoch: [11][450/9018]	Time 0.639 (0.621)	Data 0.001 (0.007)	Loss 2.5747 (2.5732)	Prec@1 37.000 (37.222)	Prec@5 66.500 (68.160)
Epoch: [11][460/9018]	Time 0.592 (0.620)	Data 0.001 (0.007)	Loss 2.7473 (2.5718)	Prec@1 34.000 (37.246)	Prec@5 65.000 (68.172)
Epoch: [11][470/9018]	Time 0.634 (0.621)	Data 0.001 (0.007)	Loss 2.4538 (2.5723)	Prec@1 38.500 (37.244)	Prec@5 71.500 (68.175)
Epoch: [11][480/9018]	Time 0.594 (0.620)	Data 0.001 (0.007)	Loss 2.7352 (2.5742)	Prec@1 34.500 (37.193)	Prec@5 65.000 (68.157)
Epoch: [11][490/9018]	Time 0.598 (0.620)	Data 0.001 (0.007)	Loss 2.6261 (2.5762)	Prec@1 35.500 (37.169)	Prec@5 68.000 (68.108)
Epoch: [11][500/9018]	Time 0.629 (0.620)	Data 0.001 (0.007)	Loss 2.9073 (2.5765)	Prec@1 30.500 (37.171)	Prec@5 61.500 (68.087)
Epoch: [11][510/9018]	Time 0.593 (0.620)	Data 0.001 (0.006)	Loss 2.3584 (2.5768)	Prec@1 41.500 (37.161)	Prec@5 73.500 (68.102)
Epoch: [11][520/9018]	Time 0.607 (0.620)	Data 0.001 (0.006)	Loss 3.1143 (2.5774)	Prec@1 27.500 (37.169)	Prec@5 54.500 (68.081)
Epoch: [11][530/9018]	Time 0.630 (0.619)	Data 0.001 (0.006)	Loss 2.4966 (2.5773)	Prec@1 38.000 (37.156)	Prec@5 70.500 (68.087)
Epoch: [11][540/9018]	Time 0.588 (0.619)	Data 0.001 (0.006)	Loss 2.5489 (2.5780)	Prec@1 35.000 (37.164)	Prec@5 68.500 (68.097)
Epoch: [11][550/9018]	Time 0.725 (0.619)	Data 0.001 (0.006)	Loss 2.5411 (2.5774)	Prec@1 38.000 (37.180)	Prec@5 71.000 (68.104)
Epoch: [11][560/9018]	Time 0.593 (0.619)	Data 0.001 (0.006)	Loss 2.4375 (2.5772)	Prec@1 40.500 (37.183)	Prec@5 72.000 (68.113)
Epoch: [11][570/9018]	Time 0.597 (0.619)	Data 0.001 (0.006)	Loss 2.6203 (2.5756)	Prec@1 39.500 (37.197)	Prec@5 69.000 (68.147)
Epoch: [11][580/9018]	Time 0.607 (0.619)	Data 0.001 (0.006)	Loss 2.5782 (2.5765)	Prec@1 38.500 (37.186)	Prec@5 63.000 (68.125)
Epoch: [11][590/9018]	Time 0.600 (0.619)	Data 0.001 (0.006)	Loss 2.7320 (2.5753)	Prec@1 29.500 (37.191)	Prec@5 62.000 (68.158)
Epoch: [11][600/9018]	Time 0.735 (0.619)	Data 0.001 (0.006)	Loss 2.4807 (2.5760)	Prec@1 39.000 (37.171)	Prec@5 69.500 (68.142)
Epoch: [11][610/9018]	Time 0.595 (0.619)	Data 0.001 (0.005)	Loss 2.5631 (2.5759)	Prec@1 39.500 (37.173)	Prec@5 68.500 (68.161)
Epoch: [11][620/9018]	Time 0.614 (0.619)	Data 0.001 (0.005)	Loss 2.9086 (2.5764)	Prec@1 30.000 (37.155)	Prec@5 61.000 (68.153)
Epoch: [11][630/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.6769 (2.5784)	Prec@1 36.500 (37.122)	Prec@5 68.500 (68.108)
Epoch: [11][640/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.3349 (2.5782)	Prec@1 40.000 (37.104)	Prec@5 74.000 (68.121)
Epoch: [11][650/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 2.5341 (2.5780)	Prec@1 40.500 (37.111)	Prec@5 68.500 (68.127)
Epoch: [11][660/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.4188 (2.5780)	Prec@1 39.500 (37.113)	Prec@5 71.000 (68.129)
Epoch: [11][670/9018]	Time 0.604 (0.618)	Data 0.001 (0.005)	Loss 2.5883 (2.5782)	Prec@1 34.000 (37.109)	Prec@5 68.500 (68.138)
Epoch: [11][680/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.4368 (2.5780)	Prec@1 39.500 (37.106)	Prec@5 70.500 (68.145)
Epoch: [11][690/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 2.6413 (2.5784)	Prec@1 30.000 (37.092)	Prec@5 70.000 (68.148)
Epoch: [11][700/9018]	Time 0.601 (0.618)	Data 0.001 (0.005)	Loss 2.6030 (2.5787)	Prec@1 36.500 (37.092)	Prec@5 68.000 (68.131)
Epoch: [11][710/9018]	Time 0.611 (0.618)	Data 0.001 (0.005)	Loss 2.9124 (2.5793)	Prec@1 32.500 (37.087)	Prec@5 63.000 (68.122)
Epoch: [11][720/9018]	Time 0.615 (0.618)	Data 0.001 (0.005)	Loss 2.6540 (2.5800)	Prec@1 35.500 (37.087)	Prec@5 67.500 (68.094)
Epoch: [11][730/9018]	Time 0.603 (0.618)	Data 0.001 (0.005)	Loss 2.2165 (2.5799)	Prec@1 45.000 (37.094)	Prec@5 74.500 (68.094)
Epoch: [11][740/9018]	Time 0.607 (0.618)	Data 0.001 (0.005)	Loss 2.6433 (2.5797)	Prec@1 31.000 (37.088)	Prec@5 65.500 (68.100)
Epoch: [11][750/9018]	Time 0.603 (0.618)	Data 0.001 (0.005)	Loss 2.4926 (2.5793)	Prec@1 40.500 (37.103)	Prec@5 73.500 (68.111)
Epoch: [11][760/9018]	Time 0.608 (0.617)	Data 0.001 (0.005)	Loss 2.5346 (2.5804)	Prec@1 38.500 (37.083)	Prec@5 70.000 (68.088)
Epoch: [11][770/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.6102 (2.5816)	Prec@1 35.500 (37.038)	Prec@5 69.000 (68.075)
Epoch: [11][780/9018]	Time 0.616 (0.617)	Data 0.001 (0.004)	Loss 2.3197 (2.5806)	Prec@1 41.000 (37.049)	Prec@5 72.000 (68.092)
Epoch: [11][790/9018]	Time 0.628 (0.617)	Data 0.001 (0.004)	Loss 2.6767 (2.5813)	Prec@1 35.500 (37.030)	Prec@5 64.500 (68.085)
Epoch: [11][800/9018]	Time 0.594 (0.617)	Data 0.001 (0.004)	Loss 2.6353 (2.5811)	Prec@1 40.000 (37.034)	Prec@5 67.500 (68.086)
Epoch: [11][810/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.5608 (2.5811)	Prec@1 37.000 (37.029)	Prec@5 68.500 (68.076)
Epoch: [11][820/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.6283 (2.5807)	Prec@1 36.000 (37.041)	Prec@5 64.500 (68.078)
Epoch: [11][830/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.5647 (2.5805)	Prec@1 36.000 (37.043)	Prec@5 63.500 (68.073)
Epoch: [11][840/9018]	Time 0.636 (0.617)	Data 0.001 (0.004)	Loss 2.4287 (2.5804)	Prec@1 40.500 (37.056)	Prec@5 69.000 (68.071)
Epoch: [11][850/9018]	Time 0.629 (0.617)	Data 0.001 (0.004)	Loss 2.4962 (2.5803)	Prec@1 41.000 (37.063)	Prec@5 70.500 (68.067)
Epoch: [11][860/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.5809 (2.5798)	Prec@1 39.000 (37.069)	Prec@5 65.000 (68.077)
Epoch: [11][870/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.3192 (2.5803)	Prec@1 45.000 (37.058)	Prec@5 75.500 (68.059)
Epoch: [11][880/9018]	Time 0.716 (0.617)	Data 0.001 (0.004)	Loss 2.7752 (2.5816)	Prec@1 35.000 (37.039)	Prec@5 65.500 (68.026)
Epoch: [11][890/9018]	Time 0.629 (0.617)	Data 0.001 (0.004)	Loss 2.4487 (2.5814)	Prec@1 41.000 (37.043)	Prec@5 69.000 (68.019)
Epoch: [11][900/9018]	Time 0.592 (0.617)	Data 0.001 (0.004)	Loss 2.8444 (2.5813)	Prec@1 35.500 (37.055)	Prec@5 66.000 (68.022)
Epoch: [11][910/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.7233 (2.5813)	Prec@1 33.000 (37.053)	Prec@5 68.000 (68.010)
Epoch: [11][920/9018]	Time 0.591 (0.617)	Data 0.001 (0.004)	Loss 2.7243 (2.5807)	Prec@1 37.000 (37.069)	Prec@5 63.500 (68.022)
Epoch: [11][930/9018]	Time 0.713 (0.617)	Data 0.001 (0.004)	Loss 2.3958 (2.5803)	Prec@1 41.000 (37.085)	Prec@5 73.000 (68.030)
Epoch: [11][940/9018]	Time 0.612 (0.617)	Data 0.001 (0.004)	Loss 2.3295 (2.5805)	Prec@1 41.000 (37.097)	Prec@5 68.500 (68.004)
Epoch: [11][950/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.4486 (2.5804)	Prec@1 43.500 (37.104)	Prec@5 68.000 (68.012)
Epoch: [11][960/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.8453 (2.5811)	Prec@1 29.000 (37.089)	Prec@5 64.000 (67.986)
Epoch: [11][970/9018]	Time 0.593 (0.616)	Data 0.001 (0.004)	Loss 2.6629 (2.5808)	Prec@1 33.000 (37.082)	Prec@5 65.500 (67.992)
Epoch: [11][980/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.4132 (2.5803)	Prec@1 41.500 (37.107)	Prec@5 70.000 (67.993)
Epoch: [11][990/9018]	Time 0.626 (0.616)	Data 0.001 (0.004)	Loss 2.5622 (2.5810)	Prec@1 37.000 (37.087)	Prec@5 69.000 (67.989)
Epoch: [11][1000/9018]	Time 0.595 (0.616)	Data 0.001 (0.004)	Loss 2.3711 (2.5810)	Prec@1 40.500 (37.097)	Prec@5 74.000 (67.999)
Epoch: [11][1010/9018]	Time 0.629 (0.616)	Data 0.001 (0.004)	Loss 2.5031 (2.5809)	Prec@1 35.000 (37.098)	Prec@5 68.500 (67.993)
Epoch: [11][1020/9018]	Time 0.600 (0.616)	Data 0.001 (0.004)	Loss 2.6610 (2.5809)	Prec@1 37.500 (37.094)	Prec@5 65.000 (67.995)
Epoch: [11][1030/9018]	Time 0.606 (0.616)	Data 0.001 (0.004)	Loss 2.5533 (2.5816)	Prec@1 37.000 (37.084)	Prec@5 67.500 (67.982)
Epoch: [11][1040/9018]	Time 0.622 (0.616)	Data 0.001 (0.004)	Loss 2.5675 (2.5818)	Prec@1 34.000 (37.086)	Prec@5 66.000 (67.962)
Epoch: [11][1050/9018]	Time 0.591 (0.616)	Data 0.001 (0.004)	Loss 2.7019 (2.5823)	Prec@1 36.500 (37.082)	Prec@5 65.500 (67.950)
Epoch: [11][1060/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 2.5965 (2.5822)	Prec@1 35.500 (37.084)	Prec@5 66.500 (67.951)
Epoch: [11][1070/9018]	Time 0.617 (0.616)	Data 0.001 (0.003)	Loss 2.5360 (2.5816)	Prec@1 39.500 (37.088)	Prec@5 68.000 (67.952)
Epoch: [11][1080/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.5973 (2.5823)	Prec@1 37.500 (37.072)	Prec@5 66.000 (67.922)
Epoch: [11][1090/9018]	Time 0.613 (0.616)	Data 0.001 (0.003)	Loss 2.7565 (2.5828)	Prec@1 34.000 (37.068)	Prec@5 67.000 (67.917)
Epoch: [11][1100/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.6019 (2.5829)	Prec@1 36.000 (37.061)	Prec@5 68.500 (67.916)
Epoch: [11][1110/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.5949 (2.5827)	Prec@1 38.000 (37.066)	Prec@5 69.500 (67.906)
Epoch: [11][1120/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.4462 (2.5821)	Prec@1 42.000 (37.081)	Prec@5 67.000 (67.917)
Epoch: [11][1130/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 2.8700 (2.5824)	Prec@1 29.500 (37.067)	Prec@5 60.000 (67.914)
Epoch: [11][1140/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.4882 (2.5826)	Prec@1 42.500 (37.071)	Prec@5 70.000 (67.916)
Epoch: [11][1150/9018]	Time 0.631 (0.616)	Data 0.001 (0.003)	Loss 2.6087 (2.5822)	Prec@1 40.000 (37.079)	Prec@5 66.500 (67.920)
Epoch: [11][1160/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.5181 (2.5825)	Prec@1 41.000 (37.079)	Prec@5 69.500 (67.902)
Epoch: [11][1170/9018]	Time 0.625 (0.616)	Data 0.001 (0.003)	Loss 2.6911 (2.5824)	Prec@1 34.000 (37.065)	Prec@5 69.500 (67.906)
Epoch: [11][1180/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.7715 (2.5826)	Prec@1 36.000 (37.058)	Prec@5 65.000 (67.911)
Epoch: [11][1190/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 2.6462 (2.5825)	Prec@1 36.500 (37.059)	Prec@5 68.000 (67.919)
Epoch: [11][1200/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.3402 (2.5819)	Prec@1 41.000 (37.082)	Prec@5 71.000 (67.932)
Epoch: [11][1210/9018]	Time 0.721 (0.616)	Data 0.001 (0.003)	Loss 2.5622 (2.5821)	Prec@1 36.500 (37.078)	Prec@5 68.500 (67.926)
Epoch: [11][1220/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.5098 (2.5820)	Prec@1 35.000 (37.084)	Prec@5 68.000 (67.931)
Epoch: [11][1230/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.7176 (2.5825)	Prec@1 36.000 (37.075)	Prec@5 64.500 (67.924)
Epoch: [11][1240/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.5948 (2.5827)	Prec@1 37.000 (37.070)	Prec@5 69.000 (67.919)
Epoch: [11][1250/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.7635 (2.5830)	Prec@1 33.500 (37.073)	Prec@5 64.000 (67.914)
Epoch: [11][1260/9018]	Time 0.726 (0.616)	Data 0.001 (0.003)	Loss 2.5538 (2.5833)	Prec@1 38.000 (37.067)	Prec@5 70.500 (67.912)
Epoch: [11][1270/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.9939 (2.5836)	Prec@1 31.000 (37.054)	Prec@5 62.000 (67.910)
Epoch: [11][1280/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.6610 (2.5831)	Prec@1 40.000 (37.055)	Prec@5 67.000 (67.911)
Epoch: [11][1290/9018]	Time 0.635 (0.616)	Data 0.001 (0.003)	Loss 2.4286 (2.5826)	Prec@1 37.000 (37.064)	Prec@5 70.500 (67.927)
Epoch: [11][1300/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.6462 (2.5826)	Prec@1 35.000 (37.055)	Prec@5 68.000 (67.930)
Epoch: [11][1310/9018]	Time 0.633 (0.616)	Data 0.001 (0.003)	Loss 2.7316 (2.5828)	Prec@1 37.000 (37.053)	Prec@5 67.000 (67.933)
Epoch: [11][1320/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.7689 (2.5827)	Prec@1 40.000 (37.066)	Prec@5 66.000 (67.937)
Epoch: [11][1330/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.4683 (2.5828)	Prec@1 44.500 (37.065)	Prec@5 70.000 (67.932)
Epoch: [11][1340/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.5304 (2.5827)	Prec@1 40.000 (37.067)	Prec@5 68.500 (67.928)
Epoch: [11][1350/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.5120 (2.5830)	Prec@1 37.500 (37.055)	Prec@5 67.500 (67.920)
Epoch: [11][1360/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.7500 (2.5834)	Prec@1 33.500 (37.047)	Prec@5 63.500 (67.916)
Epoch: [11][1370/9018]	Time 0.629 (0.616)	Data 0.001 (0.003)	Loss 2.5590 (2.5833)	Prec@1 39.500 (37.049)	Prec@5 65.500 (67.915)
Epoch: [11][1380/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.6433 (2.5832)	Prec@1 37.000 (37.047)	Prec@5 66.500 (67.912)
Epoch: [11][1390/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.6070 (2.5831)	Prec@1 39.000 (37.044)	Prec@5 70.500 (67.920)
Epoch: [11][1400/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.4812 (2.5833)	Prec@1 42.000 (37.038)	Prec@5 69.000 (67.923)
Epoch: [11][1410/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.6618 (2.5840)	Prec@1 33.500 (37.028)	Prec@5 66.500 (67.909)
Epoch: [11][1420/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.7776 (2.5844)	Prec@1 34.000 (37.012)	Prec@5 66.000 (67.906)
Epoch: [11][1430/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.6392 (2.5845)	Prec@1 33.000 (37.003)	Prec@5 65.500 (67.904)
Epoch: [11][1440/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.6293 (2.5844)	Prec@1 40.000 (37.007)	Prec@5 67.000 (67.902)
Epoch: [11][1450/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 3.0333 (2.5853)	Prec@1 31.000 (36.984)	Prec@5 58.000 (67.889)
Epoch: [11][1460/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.6292 (2.5850)	Prec@1 37.000 (36.990)	Prec@5 64.000 (67.894)
Epoch: [11][1470/9018]	Time 0.590 (0.616)	Data 0.001 (0.003)	Loss 2.5061 (2.5846)	Prec@1 39.500 (37.001)	Prec@5 67.000 (67.901)
Epoch: [11][1480/9018]	Time 0.625 (0.616)	Data 0.001 (0.003)	Loss 2.6082 (2.5850)	Prec@1 38.500 (36.988)	Prec@5 65.000 (67.899)
Epoch: [11][1490/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.5239 (2.5851)	Prec@1 38.500 (36.989)	Prec@5 67.500 (67.895)
Epoch: [11][1500/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.7376 (2.5850)	Prec@1 35.500 (36.986)	Prec@5 62.500 (67.897)
Epoch: [11][1510/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.4877 (2.5851)	Prec@1 40.000 (36.978)	Prec@5 68.500 (67.898)
Epoch: [11][1520/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.5374 (2.5852)	Prec@1 36.500 (36.976)	Prec@5 69.000 (67.905)
Epoch: [11][1530/9018]	Time 0.625 (0.616)	Data 0.001 (0.003)	Loss 2.5263 (2.5843)	Prec@1 35.500 (36.990)	Prec@5 68.500 (67.922)
Epoch: [11][1540/9018]	Time 0.714 (0.616)	Data 0.001 (0.003)	Loss 2.5742 (2.5845)	Prec@1 43.500 (36.983)	Prec@5 67.000 (67.921)
Epoch: [11][1550/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 2.4209 (2.5845)	Prec@1 36.000 (36.972)	Prec@5 71.500 (67.913)
Epoch: [11][1560/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 2.4555 (2.5841)	Prec@1 42.500 (36.979)	Prec@5 69.500 (67.923)
Epoch: [11][1570/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.3393 (2.5839)	Prec@1 40.500 (36.989)	Prec@5 72.000 (67.933)
Epoch: [11][1580/9018]	Time 0.626 (0.616)	Data 0.001 (0.003)	Loss 2.4100 (2.5837)	Prec@1 40.000 (36.993)	Prec@5 72.000 (67.935)
Epoch: [11][1590/9018]	Time 0.742 (0.616)	Data 0.001 (0.003)	Loss 2.6532 (2.5835)	Prec@1 35.000 (36.996)	Prec@5 70.000 (67.942)
Epoch: [11][1600/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.6823 (2.5832)	Prec@1 41.000 (37.004)	Prec@5 67.000 (67.947)
Epoch: [11][1610/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.5860 (2.5831)	Prec@1 39.500 (37.007)	Prec@5 69.000 (67.948)
Epoch: [11][1620/9018]	Time 0.636 (0.616)	Data 0.003 (0.003)	Loss 2.7812 (2.5830)	Prec@1 31.000 (37.007)	Prec@5 65.500 (67.950)
Epoch: [11][1630/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.6406 (2.5833)	Prec@1 32.000 (37.004)	Prec@5 69.000 (67.951)
Epoch: [11][1640/9018]	Time 0.614 (0.616)	Data 0.001 (0.003)	Loss 2.4072 (2.5830)	Prec@1 47.000 (37.016)	Prec@5 71.500 (67.959)
Epoch: [11][1650/9018]	Time 0.624 (0.616)	Data 0.001 (0.003)	Loss 2.3417 (2.5831)	Prec@1 40.500 (37.021)	Prec@5 72.500 (67.956)
Epoch: [11][1660/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.6995 (2.5829)	Prec@1 34.000 (37.019)	Prec@5 63.000 (67.958)
Epoch: [11][1670/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.7106 (2.5829)	Prec@1 33.500 (37.024)	Prec@5 61.000 (67.955)
Epoch: [11][1680/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4843 (2.5828)	Prec@1 39.500 (37.026)	Prec@5 71.000 (67.962)
Epoch: [11][1690/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.8386 (2.5828)	Prec@1 38.000 (37.034)	Prec@5 59.000 (67.964)
Epoch: [11][1700/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5874 (2.5831)	Prec@1 36.500 (37.031)	Prec@5 68.500 (67.955)
Epoch: [11][1710/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6316 (2.5833)	Prec@1 30.500 (37.024)	Prec@5 67.000 (67.949)
Epoch: [11][1720/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4800 (2.5828)	Prec@1 38.000 (37.027)	Prec@5 69.500 (67.960)
Epoch: [11][1730/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4396 (2.5826)	Prec@1 38.500 (37.024)	Prec@5 71.500 (67.970)
Epoch: [11][1740/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.3720 (2.5826)	Prec@1 36.500 (37.021)	Prec@5 72.000 (67.971)
Epoch: [11][1750/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.6895 (2.5825)	Prec@1 35.500 (37.018)	Prec@5 69.500 (67.972)
Epoch: [11][1760/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4784 (2.5822)	Prec@1 32.000 (37.022)	Prec@5 71.000 (67.978)
Epoch: [11][1770/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.4454 (2.5822)	Prec@1 42.000 (37.025)	Prec@5 71.000 (67.979)
Epoch: [11][1780/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6906 (2.5822)	Prec@1 31.500 (37.022)	Prec@5 64.500 (67.978)
Epoch: [11][1790/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6679 (2.5829)	Prec@1 38.500 (37.015)	Prec@5 65.000 (67.958)
Epoch: [11][1800/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.8166 (2.5833)	Prec@1 36.000 (37.009)	Prec@5 60.500 (67.949)
Epoch: [11][1810/9018]	Time 0.641 (0.615)	Data 0.001 (0.002)	Loss 2.7341 (2.5836)	Prec@1 34.000 (37.009)	Prec@5 67.000 (67.946)
Epoch: [11][1820/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.3368 (2.5836)	Prec@1 42.000 (37.010)	Prec@5 70.500 (67.948)
Epoch: [11][1830/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.7407 (2.5837)	Prec@1 29.500 (37.000)	Prec@5 66.000 (67.944)
Epoch: [11][1840/9018]	Time 0.589 (0.615)	Data 0.001 (0.002)	Loss 2.4205 (2.5833)	Prec@1 39.500 (37.009)	Prec@5 74.500 (67.956)
Epoch: [11][1850/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7048 (2.5832)	Prec@1 37.000 (37.013)	Prec@5 63.000 (67.954)
Epoch: [11][1860/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4074 (2.5829)	Prec@1 38.000 (37.017)	Prec@5 72.500 (67.962)
Epoch: [11][1870/9018]	Time 0.718 (0.615)	Data 0.001 (0.002)	Loss 2.6877 (2.5831)	Prec@1 37.000 (37.010)	Prec@5 70.000 (67.964)
Epoch: [11][1880/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.3546 (2.5828)	Prec@1 43.500 (37.018)	Prec@5 73.500 (67.967)
Epoch: [11][1890/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.5827 (2.5826)	Prec@1 38.000 (37.024)	Prec@5 67.000 (67.970)
Epoch: [11][1900/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.5177 (2.5826)	Prec@1 40.000 (37.030)	Prec@5 70.500 (67.967)
Epoch: [11][1910/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5836 (2.5829)	Prec@1 40.500 (37.026)	Prec@5 69.000 (67.963)
Epoch: [11][1920/9018]	Time 0.743 (0.615)	Data 0.001 (0.002)	Loss 2.8053 (2.5832)	Prec@1 34.000 (37.021)	Prec@5 60.500 (67.952)
Epoch: [11][1930/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.3772 (2.5835)	Prec@1 44.500 (37.019)	Prec@5 72.000 (67.954)
Epoch: [11][1940/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.4166 (2.5836)	Prec@1 41.000 (37.019)	Prec@5 69.500 (67.951)
Epoch: [11][1950/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.6841 (2.5838)	Prec@1 34.000 (37.017)	Prec@5 62.000 (67.943)
Epoch: [11][1960/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6514 (2.5839)	Prec@1 37.500 (37.022)	Prec@5 65.000 (67.944)
Epoch: [11][1970/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.2411 (2.5841)	Prec@1 42.500 (37.015)	Prec@5 79.500 (67.942)
Epoch: [11][1980/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.3423 (2.5839)	Prec@1 44.000 (37.020)	Prec@5 75.000 (67.942)
Epoch: [11][1990/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.7997 (2.5842)	Prec@1 35.500 (37.013)	Prec@5 67.000 (67.939)
Epoch: [11][2000/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.7441 (2.5842)	Prec@1 38.000 (37.018)	Prec@5 66.000 (67.940)
Epoch: [11][2010/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5253 (2.5843)	Prec@1 38.500 (37.017)	Prec@5 72.000 (67.938)
Epoch: [11][2020/9018]	Time 0.636 (0.615)	Data 0.001 (0.002)	Loss 2.7529 (2.5843)	Prec@1 33.000 (37.018)	Prec@5 65.500 (67.937)
Epoch: [11][2030/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.8235 (2.5844)	Prec@1 30.500 (37.017)	Prec@5 65.000 (67.942)
Epoch: [11][2040/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4922 (2.5840)	Prec@1 39.000 (37.024)	Prec@5 67.500 (67.946)
Epoch: [11][2050/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7253 (2.5840)	Prec@1 34.500 (37.025)	Prec@5 64.000 (67.946)
Epoch: [11][2060/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5627 (2.5843)	Prec@1 32.500 (37.019)	Prec@5 73.000 (67.944)
Epoch: [11][2070/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.3572 (2.5844)	Prec@1 41.500 (37.021)	Prec@5 73.500 (67.945)
Epoch: [11][2080/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.3749 (2.5841)	Prec@1 41.000 (37.025)	Prec@5 72.000 (67.952)
Epoch: [11][2090/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6253 (2.5842)	Prec@1 37.500 (37.027)	Prec@5 68.500 (67.949)
Epoch: [11][2100/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.6127 (2.5843)	Prec@1 34.500 (37.020)	Prec@5 69.500 (67.952)
Epoch: [11][2110/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4623 (2.5841)	Prec@1 38.500 (37.030)	Prec@5 68.500 (67.950)
Epoch: [11][2120/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.7830 (2.5840)	Prec@1 29.500 (37.037)	Prec@5 66.000 (67.954)
Epoch: [11][2130/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.6044 (2.5841)	Prec@1 32.500 (37.036)	Prec@5 69.000 (67.948)
Epoch: [11][2140/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7127 (2.5845)	Prec@1 35.000 (37.025)	Prec@5 62.500 (67.941)
Epoch: [11][2150/9018]	Time 0.639 (0.615)	Data 0.001 (0.002)	Loss 2.6150 (2.5846)	Prec@1 39.000 (37.024)	Prec@5 65.500 (67.936)
Epoch: [11][2160/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.7800 (2.5847)	Prec@1 33.000 (37.018)	Prec@5 61.500 (67.932)
Epoch: [11][2170/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.8375 (2.5846)	Prec@1 34.000 (37.020)	Prec@5 64.500 (67.936)
Epoch: [11][2180/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7605 (2.5846)	Prec@1 30.500 (37.019)	Prec@5 68.000 (67.937)
Epoch: [11][2190/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.4750 (2.5844)	Prec@1 36.000 (37.021)	Prec@5 73.500 (67.937)
Epoch: [11][2200/9018]	Time 0.748 (0.615)	Data 0.001 (0.002)	Loss 2.5596 (2.5841)	Prec@1 40.000 (37.032)	Prec@5 67.000 (67.944)
Epoch: [11][2210/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5499 (2.5842)	Prec@1 35.000 (37.024)	Prec@5 71.500 (67.947)
Epoch: [11][2220/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.6037 (2.5843)	Prec@1 33.500 (37.017)	Prec@5 65.500 (67.945)
Epoch: [11][2230/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.6090 (2.5845)	Prec@1 34.500 (37.011)	Prec@5 70.000 (67.937)
Epoch: [11][2240/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.5340 (2.5847)	Prec@1 39.500 (37.009)	Prec@5 68.500 (67.938)
Epoch: [11][2250/9018]	Time 0.741 (0.615)	Data 0.001 (0.002)	Loss 2.4773 (2.5847)	Prec@1 39.000 (37.009)	Prec@5 69.500 (67.937)
Epoch: [11][2260/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.1588 (2.5841)	Prec@1 41.000 (37.021)	Prec@5 76.500 (67.952)
Epoch: [11][2270/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.6677 (2.5841)	Prec@1 36.500 (37.020)	Prec@5 64.000 (67.954)
Epoch: [11][2280/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5180 (2.5842)	Prec@1 38.000 (37.021)	Prec@5 67.000 (67.958)
Epoch: [11][2290/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6559 (2.5844)	Prec@1 33.000 (37.017)	Prec@5 65.000 (67.947)
Epoch: [11][2300/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.5264 (2.5845)	Prec@1 43.000 (37.017)	Prec@5 70.000 (67.950)
Epoch: [11][2310/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.8724 (2.5845)	Prec@1 32.000 (37.014)	Prec@5 63.000 (67.952)
Epoch: [11][2320/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6310 (2.5846)	Prec@1 38.000 (37.019)	Prec@5 66.000 (67.955)
Epoch: [11][2330/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4356 (2.5845)	Prec@1 42.000 (37.026)	Prec@5 74.000 (67.957)
Epoch: [11][2340/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.5877 (2.5844)	Prec@1 39.000 (37.028)	Prec@5 70.000 (67.960)
Epoch: [11][2350/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.5383 (2.5844)	Prec@1 41.000 (37.028)	Prec@5 69.500 (67.963)
Epoch: [11][2360/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.4762 (2.5842)	Prec@1 40.500 (37.032)	Prec@5 69.000 (67.970)
Epoch: [11][2370/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.8417 (2.5839)	Prec@1 34.000 (37.038)	Prec@5 60.000 (67.974)
Epoch: [11][2380/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.4348 (2.5840)	Prec@1 43.500 (37.041)	Prec@5 69.500 (67.979)
Epoch: [11][2390/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5404 (2.5844)	Prec@1 39.000 (37.028)	Prec@5 64.500 (67.970)
Epoch: [11][2400/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.3145 (2.5844)	Prec@1 43.500 (37.025)	Prec@5 75.000 (67.969)
Epoch: [11][2410/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.3664 (2.5843)	Prec@1 39.000 (37.027)	Prec@5 77.000 (67.974)
Epoch: [11][2420/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.5310 (2.5843)	Prec@1 36.000 (37.028)	Prec@5 73.000 (67.978)
Epoch: [11][2430/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7766 (2.5844)	Prec@1 33.000 (37.022)	Prec@5 62.500 (67.973)
Epoch: [11][2440/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.7519 (2.5846)	Prec@1 37.000 (37.018)	Prec@5 61.000 (67.966)
Epoch: [11][2450/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.4589 (2.5844)	Prec@1 40.500 (37.027)	Prec@5 72.500 (67.970)
Epoch: [11][2460/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.6353 (2.5844)	Prec@1 34.000 (37.022)	Prec@5 64.500 (67.972)
Epoch: [11][2470/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.7674 (2.5843)	Prec@1 32.000 (37.027)	Prec@5 67.000 (67.971)
Epoch: [11][2480/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.7760 (2.5845)	Prec@1 35.000 (37.023)	Prec@5 64.000 (67.971)
Epoch: [11][2490/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.8708 (2.5848)	Prec@1 28.000 (37.013)	Prec@5 61.000 (67.970)
Epoch: [11][2500/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.3981 (2.5849)	Prec@1 43.000 (37.018)	Prec@5 70.500 (67.967)
Epoch: [11][2510/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.7340 (2.5850)	Prec@1 37.000 (37.027)	Prec@5 64.500 (67.964)
Epoch: [11][2520/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.6635 (2.5850)	Prec@1 32.500 (37.029)	Prec@5 69.500 (67.966)
Epoch: [11][2530/9018]	Time 0.734 (0.615)	Data 0.001 (0.002)	Loss 2.5447 (2.5851)	Prec@1 36.500 (37.031)	Prec@5 70.500 (67.967)
Epoch: [11][2540/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4851 (2.5851)	Prec@1 35.500 (37.030)	Prec@5 67.000 (67.963)
Epoch: [11][2550/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5281 (2.5850)	Prec@1 33.500 (37.030)	Prec@5 68.000 (67.968)
Epoch: [11][2560/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6454 (2.5849)	Prec@1 38.500 (37.033)	Prec@5 66.000 (67.970)
Epoch: [11][2570/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4636 (2.5848)	Prec@1 36.000 (37.031)	Prec@5 67.500 (67.967)
Epoch: [11][2580/9018]	Time 0.723 (0.615)	Data 0.001 (0.002)	Loss 2.7029 (2.5846)	Prec@1 40.000 (37.034)	Prec@5 65.500 (67.968)
Epoch: [11][2590/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6458 (2.5849)	Prec@1 40.000 (37.029)	Prec@5 65.500 (67.963)
Epoch: [11][2600/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5292 (2.5850)	Prec@1 41.000 (37.032)	Prec@5 68.000 (67.960)
Epoch: [11][2610/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.6178 (2.5851)	Prec@1 34.500 (37.027)	Prec@5 69.000 (67.956)
Epoch: [11][2620/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.7022 (2.5851)	Prec@1 39.500 (37.031)	Prec@5 63.500 (67.954)
Epoch: [11][2630/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6219 (2.5851)	Prec@1 34.500 (37.035)	Prec@5 67.500 (67.955)
Epoch: [11][2640/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5285 (2.5850)	Prec@1 36.500 (37.036)	Prec@5 70.000 (67.958)
Epoch: [11][2650/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6750 (2.5853)	Prec@1 34.000 (37.033)	Prec@5 65.000 (67.952)
Epoch: [11][2660/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.7871 (2.5854)	Prec@1 33.500 (37.028)	Prec@5 63.000 (67.952)
Epoch: [11][2670/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4203 (2.5855)	Prec@1 38.500 (37.026)	Prec@5 72.000 (67.949)
Epoch: [11][2680/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7251 (2.5855)	Prec@1 33.000 (37.021)	Prec@5 64.500 (67.950)
Epoch: [11][2690/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5314 (2.5857)	Prec@1 39.000 (37.018)	Prec@5 74.000 (67.949)
Epoch: [11][2700/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.3049 (2.5856)	Prec@1 42.000 (37.024)	Prec@5 73.000 (67.950)
Epoch: [11][2710/9018]	Time 0.640 (0.615)	Data 0.001 (0.002)	Loss 2.6017 (2.5854)	Prec@1 39.000 (37.029)	Prec@5 65.000 (67.953)
Epoch: [11][2720/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6410 (2.5854)	Prec@1 40.500 (37.029)	Prec@5 64.500 (67.951)
Epoch: [11][2730/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7023 (2.5855)	Prec@1 33.500 (37.029)	Prec@5 60.500 (67.948)
Epoch: [11][2740/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5629 (2.5857)	Prec@1 35.500 (37.026)	Prec@5 68.500 (67.942)
Epoch: [11][2750/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7298 (2.5859)	Prec@1 37.000 (37.021)	Prec@5 66.500 (67.940)
Epoch: [11][2760/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.5552 (2.5860)	Prec@1 37.000 (37.017)	Prec@5 67.000 (67.940)
Epoch: [11][2770/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.8151 (2.5862)	Prec@1 32.000 (37.015)	Prec@5 65.000 (67.935)
Epoch: [11][2780/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6794 (2.5860)	Prec@1 36.000 (37.021)	Prec@5 65.500 (67.938)
Epoch: [11][2790/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5195 (2.5859)	Prec@1 41.000 (37.024)	Prec@5 66.500 (67.936)
Epoch: [11][2800/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6420 (2.5860)	Prec@1 36.000 (37.022)	Prec@5 66.500 (67.934)
Epoch: [11][2810/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6292 (2.5859)	Prec@1 37.000 (37.023)	Prec@5 68.500 (67.934)
Epoch: [11][2820/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6544 (2.5859)	Prec@1 35.000 (37.024)	Prec@5 68.000 (67.932)
Epoch: [11][2830/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6923 (2.5860)	Prec@1 41.500 (37.028)	Prec@5 65.500 (67.932)
Epoch: [11][2840/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.2959 (2.5861)	Prec@1 41.000 (37.023)	Prec@5 74.500 (67.926)
Epoch: [11][2850/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.7291 (2.5863)	Prec@1 33.000 (37.024)	Prec@5 64.000 (67.924)
Epoch: [11][2860/9018]	Time 0.738 (0.615)	Data 0.001 (0.002)	Loss 2.7798 (2.5864)	Prec@1 33.500 (37.026)	Prec@5 64.000 (67.923)
Epoch: [11][2870/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.5797 (2.5863)	Prec@1 37.500 (37.029)	Prec@5 63.500 (67.923)
Epoch: [11][2880/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6252 (2.5863)	Prec@1 37.500 (37.029)	Prec@5 64.000 (67.925)
Epoch: [11][2890/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4558 (2.5861)	Prec@1 41.500 (37.031)	Prec@5 70.000 (67.930)
Epoch: [11][2900/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5115 (2.5862)	Prec@1 37.500 (37.031)	Prec@5 68.000 (67.927)
Epoch: [11][2910/9018]	Time 0.781 (0.615)	Data 0.001 (0.002)	Loss 2.2782 (2.5861)	Prec@1 43.500 (37.030)	Prec@5 72.500 (67.927)
Epoch: [11][2920/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.8501 (2.5862)	Prec@1 36.500 (37.031)	Prec@5 63.000 (67.925)
Epoch: [11][2930/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.4519 (2.5862)	Prec@1 42.000 (37.033)	Prec@5 71.000 (67.922)
Epoch: [11][2940/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5287 (2.5863)	Prec@1 36.000 (37.033)	Prec@5 68.000 (67.922)
Epoch: [11][2950/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 2.7432 (2.5865)	Prec@1 35.500 (37.028)	Prec@5 66.500 (67.920)
Epoch: [11][2960/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.7119 (2.5864)	Prec@1 30.500 (37.033)	Prec@5 66.000 (67.920)
Epoch: [11][2970/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4056 (2.5862)	Prec@1 42.000 (37.036)	Prec@5 72.000 (67.924)
Epoch: [11][2980/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6777 (2.5862)	Prec@1 36.000 (37.039)	Prec@5 61.500 (67.920)
Epoch: [11][2990/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.7182 (2.5864)	Prec@1 35.500 (37.036)	Prec@5 62.500 (67.917)
Epoch: [11][3000/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.6394 (2.5863)	Prec@1 37.000 (37.036)	Prec@5 68.500 (67.919)
Epoch: [11][3010/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.5849 (2.5862)	Prec@1 38.000 (37.039)	Prec@5 69.000 (67.923)
Epoch: [11][3020/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.2768 (2.5860)	Prec@1 46.500 (37.042)	Prec@5 76.500 (67.929)
Epoch: [11][3030/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6603 (2.5862)	Prec@1 35.500 (37.037)	Prec@5 66.000 (67.928)
Epoch: [11][3040/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4037 (2.5860)	Prec@1 48.000 (37.045)	Prec@5 71.500 (67.933)
Epoch: [11][3050/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.5449 (2.5860)	Prec@1 40.500 (37.043)	Prec@5 68.000 (67.928)
Epoch: [11][3060/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.6253 (2.5861)	Prec@1 38.000 (37.047)	Prec@5 67.000 (67.926)
Epoch: [11][3070/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.5103 (2.5860)	Prec@1 42.500 (37.051)	Prec@5 66.000 (67.925)
Epoch: [11][3080/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5087 (2.5859)	Prec@1 39.500 (37.055)	Prec@5 66.500 (67.924)
Epoch: [11][3090/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.9243 (2.5861)	Prec@1 27.500 (37.050)	Prec@5 62.500 (67.919)
Epoch: [11][3100/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6347 (2.5862)	Prec@1 35.500 (37.048)	Prec@5 66.000 (67.915)
Epoch: [11][3110/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.4465 (2.5862)	Prec@1 41.500 (37.049)	Prec@5 68.500 (67.916)
Epoch: [11][3120/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.6892 (2.5861)	Prec@1 35.500 (37.046)	Prec@5 61.000 (67.919)
Epoch: [11][3130/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5305 (2.5860)	Prec@1 39.000 (37.046)	Prec@5 64.000 (67.920)
Epoch: [11][3140/9018]	Time 0.621 (0.615)	Data 0.003 (0.002)	Loss 2.7003 (2.5859)	Prec@1 37.000 (37.052)	Prec@5 64.000 (67.925)
Epoch: [11][3150/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.4833 (2.5858)	Prec@1 42.500 (37.056)	Prec@5 66.000 (67.922)
Epoch: [11][3160/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.3489 (2.5859)	Prec@1 42.000 (37.055)	Prec@5 69.500 (67.920)
Epoch: [11][3170/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4817 (2.5858)	Prec@1 39.500 (37.058)	Prec@5 68.500 (67.921)
Epoch: [11][3180/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.7483 (2.5860)	Prec@1 33.000 (37.054)	Prec@5 62.500 (67.919)
Epoch: [11][3190/9018]	Time 0.747 (0.615)	Data 0.001 (0.002)	Loss 2.5691 (2.5861)	Prec@1 39.000 (37.051)	Prec@5 69.500 (67.919)
Epoch: [11][3200/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.6243 (2.5859)	Prec@1 35.000 (37.055)	Prec@5 66.500 (67.923)
Epoch: [11][3210/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7024 (2.5860)	Prec@1 32.000 (37.049)	Prec@5 66.500 (67.919)
Epoch: [11][3220/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.7283 (2.5861)	Prec@1 36.500 (37.048)	Prec@5 65.000 (67.923)
Epoch: [11][3230/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6040 (2.5859)	Prec@1 39.500 (37.053)	Prec@5 69.500 (67.927)
Epoch: [11][3240/9018]	Time 0.717 (0.615)	Data 0.001 (0.002)	Loss 2.6832 (2.5860)	Prec@1 36.500 (37.052)	Prec@5 64.500 (67.927)
Epoch: [11][3250/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7676 (2.5861)	Prec@1 29.000 (37.048)	Prec@5 67.500 (67.925)
Epoch: [11][3260/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 2.6021 (2.5862)	Prec@1 37.500 (37.048)	Prec@5 65.500 (67.923)
Epoch: [11][3270/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4784 (2.5862)	Prec@1 39.000 (37.051)	Prec@5 70.500 (67.924)
Epoch: [11][3280/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7022 (2.5864)	Prec@1 31.000 (37.048)	Prec@5 63.500 (67.918)
Epoch: [11][3290/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5150 (2.5864)	Prec@1 35.000 (37.049)	Prec@5 69.500 (67.918)
Epoch: [11][3300/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.8136 (2.5866)	Prec@1 34.000 (37.046)	Prec@5 63.000 (67.915)
Epoch: [11][3310/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5489 (2.5865)	Prec@1 37.500 (37.048)	Prec@5 66.000 (67.914)
Epoch: [11][3320/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6478 (2.5866)	Prec@1 36.500 (37.047)	Prec@5 66.500 (67.913)
Epoch: [11][3330/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.3790 (2.5864)	Prec@1 39.000 (37.050)	Prec@5 72.000 (67.920)
Epoch: [11][3340/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6001 (2.5863)	Prec@1 36.000 (37.057)	Prec@5 65.500 (67.918)
Epoch: [11][3350/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.4319 (2.5865)	Prec@1 36.500 (37.058)	Prec@5 74.000 (67.914)
Epoch: [11][3360/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.3157 (2.5864)	Prec@1 39.500 (37.059)	Prec@5 74.000 (67.914)
Epoch: [11][3370/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.4154 (2.5862)	Prec@1 38.000 (37.059)	Prec@5 72.000 (67.918)
Epoch: [11][3380/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.7731 (2.5864)	Prec@1 33.000 (37.055)	Prec@5 65.000 (67.914)
Epoch: [11][3390/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.7295 (2.5864)	Prec@1 36.000 (37.052)	Prec@5 65.000 (67.914)
Epoch: [11][3400/9018]	Time 0.597 (0.614)	Data 0.001 (0.002)	Loss 2.6340 (2.5865)	Prec@1 38.000 (37.048)	Prec@5 70.000 (67.912)
Epoch: [11][3410/9018]	Time 0.599 (0.614)	Data 0.001 (0.002)	Loss 2.6274 (2.5866)	Prec@1 35.000 (37.050)	Prec@5 68.000 (67.912)
Epoch: [11][3420/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.4603 (2.5864)	Prec@1 43.000 (37.052)	Prec@5 70.500 (67.917)
Epoch: [11][3430/9018]	Time 0.596 (0.614)	Data 0.001 (0.002)	Loss 2.6659 (2.5866)	Prec@1 36.500 (37.048)	Prec@5 68.000 (67.911)
Epoch: [11][3440/9018]	Time 0.602 (0.614)	Data 0.001 (0.002)	Loss 2.4762 (2.5865)	Prec@1 39.000 (37.053)	Prec@5 68.500 (67.915)
Epoch: [11][3450/9018]	Time 0.617 (0.614)	Data 0.001 (0.002)	Loss 2.4575 (2.5865)	Prec@1 40.000 (37.053)	Prec@5 66.000 (67.912)
Epoch: [11][3460/9018]	Time 0.603 (0.614)	Data 0.001 (0.002)	Loss 2.5653 (2.5866)	Prec@1 37.000 (37.051)	Prec@5 66.500 (67.907)
Epoch: [11][3470/9018]	Time 0.602 (0.614)	Data 0.001 (0.002)	Loss 2.5644 (2.5867)	Prec@1 31.500 (37.048)	Prec@5 72.500 (67.910)
Epoch: [11][3480/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.6539 (2.5867)	Prec@1 35.500 (37.045)	Prec@5 60.500 (67.908)
Epoch: [11][3490/9018]	Time 0.596 (0.614)	Data 0.001 (0.002)	Loss 2.4999 (2.5867)	Prec@1 37.000 (37.044)	Prec@5 72.000 (67.909)
Epoch: [11][3500/9018]	Time 0.623 (0.614)	Data 0.001 (0.002)	Loss 2.4494 (2.5865)	Prec@1 38.000 (37.046)	Prec@5 70.500 (67.915)
Epoch: [11][3510/9018]	Time 0.597 (0.614)	Data 0.001 (0.002)	Loss 2.6903 (2.5865)	Prec@1 33.500 (37.043)	Prec@5 65.000 (67.913)
Epoch: [11][3520/9018]	Time 0.720 (0.614)	Data 0.001 (0.002)	Loss 2.4669 (2.5864)	Prec@1 38.500 (37.048)	Prec@5 72.000 (67.915)
Epoch: [11][3530/9018]	Time 0.594 (0.614)	Data 0.001 (0.002)	Loss 2.6450 (2.5864)	Prec@1 34.500 (37.047)	Prec@5 67.500 (67.913)
Epoch: [11][3540/9018]	Time 0.612 (0.614)	Data 0.001 (0.002)	Loss 2.5758 (2.5865)	Prec@1 34.500 (37.044)	Prec@5 69.000 (67.912)
Epoch: [11][3550/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.5986 (2.5867)	Prec@1 39.500 (37.043)	Prec@5 67.500 (67.908)
Epoch: [11][3560/9018]	Time 0.596 (0.614)	Data 0.001 (0.002)	Loss 2.5337 (2.5869)	Prec@1 38.500 (37.040)	Prec@5 70.500 (67.908)
Epoch: [11][3570/9018]	Time 0.726 (0.614)	Data 0.001 (0.002)	Loss 2.7239 (2.5868)	Prec@1 35.500 (37.038)	Prec@5 66.500 (67.909)
Epoch: [11][3580/9018]	Time 0.622 (0.614)	Data 0.001 (0.002)	Loss 2.7599 (2.5870)	Prec@1 39.500 (37.034)	Prec@5 64.500 (67.907)
Epoch: [11][3590/9018]	Time 0.615 (0.614)	Data 0.001 (0.002)	Loss 2.4530 (2.5870)	Prec@1 37.500 (37.031)	Prec@5 69.000 (67.909)
Epoch: [11][3600/9018]	Time 0.593 (0.614)	Data 0.001 (0.002)	Loss 2.7658 (2.5870)	Prec@1 29.500 (37.030)	Prec@5 60.000 (67.906)
Epoch: [11][3610/9018]	Time 0.593 (0.614)	Data 0.001 (0.002)	Loss 2.5692 (2.5869)	Prec@1 33.500 (37.034)	Prec@5 71.000 (67.908)
Epoch: [11][3620/9018]	Time 0.601 (0.614)	Data 0.001 (0.002)	Loss 2.4752 (2.5867)	Prec@1 36.000 (37.035)	Prec@5 71.000 (67.909)
Epoch: [11][3630/9018]	Time 0.611 (0.614)	Data 0.001 (0.002)	Loss 2.6372 (2.5868)	Prec@1 37.000 (37.032)	Prec@5 66.000 (67.907)
Epoch: [11][3640/9018]	Time 0.602 (0.614)	Data 0.001 (0.002)	Loss 3.0044 (2.5870)	Prec@1 30.000 (37.029)	Prec@5 61.000 (67.905)
Epoch: [11][3650/9018]	Time 0.588 (0.614)	Data 0.001 (0.002)	Loss 2.5708 (2.5871)	Prec@1 36.500 (37.028)	Prec@5 66.000 (67.903)
Epoch: [11][3660/9018]	Time 0.602 (0.614)	Data 0.001 (0.002)	Loss 2.8290 (2.5872)	Prec@1 28.500 (37.023)	Prec@5 66.000 (67.900)
Epoch: [11][3670/9018]	Time 0.623 (0.614)	Data 0.001 (0.002)	Loss 2.5629 (2.5873)	Prec@1 38.000 (37.026)	Prec@5 71.000 (67.898)
Epoch: [11][3680/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.5748 (2.5875)	Prec@1 36.500 (37.024)	Prec@5 68.500 (67.898)
Epoch: [11][3690/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.5954 (2.5875)	Prec@1 37.500 (37.026)	Prec@5 67.000 (67.897)
Epoch: [11][3700/9018]	Time 0.598 (0.614)	Data 0.001 (0.002)	Loss 2.8314 (2.5876)	Prec@1 31.000 (37.023)	Prec@5 62.500 (67.896)
Epoch: [11][3710/9018]	Time 0.603 (0.614)	Data 0.001 (0.002)	Loss 2.6333 (2.5875)	Prec@1 36.000 (37.027)	Prec@5 65.500 (67.897)
Epoch: [11][3720/9018]	Time 0.627 (0.614)	Data 0.001 (0.002)	Loss 2.6426 (2.5876)	Prec@1 38.500 (37.028)	Prec@5 67.500 (67.896)
Epoch: [11][3730/9018]	Time 0.597 (0.614)	Data 0.001 (0.002)	Loss 2.6212 (2.5875)	Prec@1 35.000 (37.030)	Prec@5 68.000 (67.899)
Epoch: [11][3740/9018]	Time 0.594 (0.614)	Data 0.001 (0.002)	Loss 2.5925 (2.5877)	Prec@1 36.000 (37.031)	Prec@5 65.000 (67.898)
Epoch: [11][3750/9018]	Time 0.599 (0.614)	Data 0.001 (0.002)	Loss 2.5312 (2.5878)	Prec@1 37.000 (37.028)	Prec@5 67.500 (67.897)
Epoch: [11][3760/9018]	Time 0.599 (0.614)	Data 0.001 (0.002)	Loss 2.8102 (2.5879)	Prec@1 34.500 (37.027)	Prec@5 59.000 (67.892)
Epoch: [11][3770/9018]	Time 0.604 (0.614)	Data 0.001 (0.002)	Loss 2.3769 (2.5877)	Prec@1 41.000 (37.030)	Prec@5 74.000 (67.896)
Epoch: [11][3780/9018]	Time 0.597 (0.614)	Data 0.001 (0.002)	Loss 2.7556 (2.5878)	Prec@1 29.000 (37.027)	Prec@5 65.500 (67.891)
Epoch: [11][3790/9018]	Time 0.602 (0.614)	Data 0.001 (0.002)	Loss 2.6500 (2.5878)	Prec@1 34.500 (37.024)	Prec@5 67.000 (67.891)
Epoch: [11][3800/9018]	Time 0.604 (0.614)	Data 0.001 (0.002)	Loss 2.6685 (2.5880)	Prec@1 34.500 (37.019)	Prec@5 65.500 (67.887)
Epoch: [11][3810/9018]	Time 0.594 (0.614)	Data 0.001 (0.002)	Loss 2.5593 (2.5878)	Prec@1 41.000 (37.024)	Prec@5 66.000 (67.891)
Epoch: [11][3820/9018]	Time 0.595 (0.614)	Data 0.001 (0.002)	Loss 2.4441 (2.5877)	Prec@1 42.500 (37.027)	Prec@5 69.500 (67.893)
Epoch: [11][3830/9018]	Time 0.627 (0.614)	Data 0.001 (0.002)	Loss 2.6232 (2.5878)	Prec@1 37.000 (37.027)	Prec@5 64.500 (67.890)
Epoch: [11][3840/9018]	Time 0.594 (0.614)	Data 0.001 (0.002)	Loss 2.7656 (2.5880)	Prec@1 32.500 (37.023)	Prec@5 62.000 (67.888)
Epoch: [11][3850/9018]	Time 0.743 (0.614)	Data 0.001 (0.002)	Loss 2.7080 (2.5881)	Prec@1 32.500 (37.021)	Prec@5 65.000 (67.888)
Epoch: [11][3860/9018]	Time 0.598 (0.614)	Data 0.001 (0.002)	Loss 2.4803 (2.5882)	Prec@1 39.500 (37.020)	Prec@5 69.000 (67.886)
Epoch: [11][3870/9018]	Time 0.601 (0.614)	Data 0.001 (0.002)	Loss 2.3852 (2.5880)	Prec@1 41.000 (37.025)	Prec@5 73.500 (67.888)
Epoch: [11][3880/9018]	Time 0.596 (0.614)	Data 0.001 (0.002)	Loss 2.5478 (2.5878)	Prec@1 42.000 (37.029)	Prec@5 69.500 (67.891)
Epoch: [11][3890/9018]	Time 0.593 (0.614)	Data 0.001 (0.002)	Loss 2.6843 (2.5877)	Prec@1 37.000 (37.033)	Prec@5 65.000 (67.894)
Epoch: [11][3900/9018]	Time 0.745 (0.614)	Data 0.001 (0.002)	Loss 2.8220 (2.5877)	Prec@1 35.500 (37.035)	Prec@5 60.500 (67.895)
Epoch: [11][3910/9018]	Time 0.602 (0.614)	Data 0.001 (0.002)	Loss 2.5066 (2.5877)	Prec@1 38.500 (37.037)	Prec@5 66.000 (67.893)
Epoch: [11][3920/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.7339 (2.5878)	Prec@1 37.000 (37.037)	Prec@5 68.000 (67.890)
Epoch: [11][3930/9018]	Time 0.598 (0.614)	Data 0.001 (0.002)	Loss 2.5119 (2.5878)	Prec@1 39.000 (37.037)	Prec@5 69.000 (67.888)
Epoch: [11][3940/9018]	Time 0.604 (0.614)	Data 0.001 (0.002)	Loss 2.7543 (2.5881)	Prec@1 32.500 (37.033)	Prec@5 65.500 (67.880)
Epoch: [11][3950/9018]	Time 0.597 (0.614)	Data 0.001 (0.002)	Loss 2.5196 (2.5882)	Prec@1 38.000 (37.029)	Prec@5 70.500 (67.879)
Epoch: [11][3960/9018]	Time 0.604 (0.614)	Data 0.001 (0.002)	Loss 2.5330 (2.5882)	Prec@1 41.500 (37.027)	Prec@5 66.000 (67.878)
Epoch: [11][3970/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.7085 (2.5883)	Prec@1 30.500 (37.024)	Prec@5 65.000 (67.876)
Epoch: [11][3980/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.5209 (2.5882)	Prec@1 42.500 (37.028)	Prec@5 71.000 (67.879)
Epoch: [11][3990/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.7679 (2.5882)	Prec@1 36.500 (37.030)	Prec@5 64.500 (67.881)
Epoch: [11][4000/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.3932 (2.5883)	Prec@1 40.500 (37.029)	Prec@5 74.000 (67.879)
Epoch: [11][4010/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.4963 (2.5884)	Prec@1 41.500 (37.027)	Prec@5 72.500 (67.879)
Epoch: [11][4020/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.5240 (2.5882)	Prec@1 38.000 (37.031)	Prec@5 70.000 (67.884)
Epoch: [11][4030/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.7810 (2.5882)	Prec@1 37.500 (37.033)	Prec@5 66.000 (67.884)
Epoch: [11][4040/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.4278 (2.5881)	Prec@1 37.500 (37.033)	Prec@5 70.000 (67.884)
Epoch: [11][4050/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.4855 (2.5881)	Prec@1 39.500 (37.032)	Prec@5 68.000 (67.884)
Epoch: [11][4060/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.4190 (2.5880)	Prec@1 43.500 (37.038)	Prec@5 69.500 (67.886)
Epoch: [11][4070/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.6836 (2.5881)	Prec@1 32.500 (37.034)	Prec@5 67.000 (67.886)
Epoch: [11][4080/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.4726 (2.5880)	Prec@1 37.000 (37.036)	Prec@5 69.500 (67.887)
Epoch: [11][4090/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.4032 (2.5879)	Prec@1 42.500 (37.036)	Prec@5 68.000 (67.890)
Epoch: [11][4100/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.3390 (2.5878)	Prec@1 39.000 (37.041)	Prec@5 70.500 (67.891)
Epoch: [11][4110/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.4541 (2.5877)	Prec@1 39.500 (37.045)	Prec@5 72.500 (67.893)
Epoch: [11][4120/9018]	Time 0.619 (0.613)	Data 0.001 (0.001)	Loss 2.6630 (2.5876)	Prec@1 36.500 (37.047)	Prec@5 68.000 (67.896)
Epoch: [11][4130/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.5461 (2.5878)	Prec@1 36.500 (37.045)	Prec@5 68.500 (67.888)
Epoch: [11][4140/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.4635 (2.5876)	Prec@1 36.000 (37.050)	Prec@5 69.500 (67.892)
Epoch: [11][4150/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.5647 (2.5875)	Prec@1 35.000 (37.048)	Prec@5 69.500 (67.897)
Epoch: [11][4160/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.6459 (2.5876)	Prec@1 30.500 (37.045)	Prec@5 68.500 (67.896)
Epoch: [11][4170/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.5056 (2.5875)	Prec@1 39.000 (37.047)	Prec@5 68.500 (67.897)
Epoch: [11][4180/9018]	Time 0.708 (0.613)	Data 0.001 (0.001)	Loss 2.5802 (2.5875)	Prec@1 36.500 (37.049)	Prec@5 68.500 (67.899)
Epoch: [11][4190/9018]	Time 0.591 (0.613)	Data 0.001 (0.001)	Loss 2.7840 (2.5875)	Prec@1 35.000 (37.047)	Prec@5 64.000 (67.898)
Epoch: [11][4200/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.2999 (2.5875)	Prec@1 44.500 (37.045)	Prec@5 73.500 (67.897)
Epoch: [11][4210/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.6732 (2.5875)	Prec@1 33.000 (37.045)	Prec@5 63.500 (67.896)
Epoch: [11][4220/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.5791 (2.5875)	Prec@1 33.500 (37.045)	Prec@5 66.500 (67.898)
Epoch: [11][4230/9018]	Time 0.738 (0.613)	Data 0.001 (0.001)	Loss 2.6512 (2.5875)	Prec@1 34.500 (37.043)	Prec@5 65.500 (67.899)
Epoch: [11][4240/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 2.7105 (2.5875)	Prec@1 34.000 (37.043)	Prec@5 63.000 (67.898)
Epoch: [11][4250/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.7342 (2.5877)	Prec@1 36.500 (37.040)	Prec@5 67.000 (67.896)
Epoch: [11][4260/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.5821 (2.5878)	Prec@1 39.500 (37.041)	Prec@5 65.500 (67.893)
Epoch: [11][4270/9018]	Time 0.610 (0.613)	Data 0.001 (0.001)	Loss 2.5678 (2.5877)	Prec@1 36.500 (37.041)	Prec@5 66.000 (67.893)
Epoch: [11][4280/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.4108 (2.5876)	Prec@1 40.500 (37.045)	Prec@5 68.500 (67.893)
Epoch: [11][4290/9018]	Time 0.590 (0.613)	Data 0.001 (0.001)	Loss 2.5222 (2.5878)	Prec@1 41.000 (37.047)	Prec@5 69.500 (67.889)
Epoch: [11][4300/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.4954 (2.5878)	Prec@1 39.000 (37.046)	Prec@5 69.000 (67.889)
Epoch: [11][4310/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6261 (2.5877)	Prec@1 38.500 (37.050)	Prec@5 65.500 (67.893)
Epoch: [11][4320/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.6930 (2.5876)	Prec@1 37.500 (37.051)	Prec@5 66.000 (67.892)
Epoch: [11][4330/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.6015 (2.5878)	Prec@1 33.000 (37.045)	Prec@5 67.500 (67.890)
Epoch: [11][4340/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 2.5257 (2.5879)	Prec@1 39.000 (37.043)	Prec@5 69.000 (67.886)
Epoch: [11][4350/9018]	Time 0.619 (0.613)	Data 0.001 (0.001)	Loss 2.5165 (2.5879)	Prec@1 41.000 (37.045)	Prec@5 72.000 (67.886)
Epoch: [11][4360/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.6003 (2.5877)	Prec@1 39.000 (37.048)	Prec@5 69.500 (67.893)
Epoch: [11][4370/9018]	Time 0.589 (0.613)	Data 0.001 (0.001)	Loss 2.3564 (2.5875)	Prec@1 42.000 (37.053)	Prec@5 69.500 (67.895)
Epoch: [11][4380/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.7654 (2.5872)	Prec@1 34.500 (37.056)	Prec@5 64.000 (67.902)
Epoch: [11][4390/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.7347 (2.5874)	Prec@1 37.000 (37.055)	Prec@5 65.500 (67.902)
Epoch: [11][4400/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.6622 (2.5875)	Prec@1 40.500 (37.052)	Prec@5 66.500 (67.899)
Epoch: [11][4410/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.7843 (2.5876)	Prec@1 32.000 (37.049)	Prec@5 65.000 (67.897)
Epoch: [11][4420/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.3821 (2.5877)	Prec@1 39.500 (37.052)	Prec@5 70.500 (67.895)
Epoch: [11][4430/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.6357 (2.5875)	Prec@1 35.000 (37.059)	Prec@5 67.000 (67.900)
Epoch: [11][4440/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.8467 (2.5875)	Prec@1 32.500 (37.058)	Prec@5 61.500 (67.897)
Epoch: [11][4450/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.7115 (2.5874)	Prec@1 35.500 (37.060)	Prec@5 65.000 (67.898)
Epoch: [11][4460/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.7190 (2.5874)	Prec@1 34.000 (37.059)	Prec@5 66.500 (67.899)
Epoch: [11][4470/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.5374 (2.5876)	Prec@1 40.000 (37.056)	Prec@5 68.500 (67.894)
Epoch: [11][4480/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.5645 (2.5877)	Prec@1 35.500 (37.054)	Prec@5 69.500 (67.894)
Epoch: [11][4490/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.4292 (2.5876)	Prec@1 37.500 (37.053)	Prec@5 73.000 (67.893)
Epoch: [11][4500/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.9537 (2.5877)	Prec@1 30.000 (37.053)	Prec@5 59.500 (67.893)
Epoch: [11][4510/9018]	Time 0.725 (0.613)	Data 0.001 (0.001)	Loss 2.3791 (2.5877)	Prec@1 39.500 (37.050)	Prec@5 70.500 (67.893)
Epoch: [11][4520/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 2.8511 (2.5877)	Prec@1 30.000 (37.052)	Prec@5 62.500 (67.891)
Epoch: [11][4530/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.5201 (2.5878)	Prec@1 36.500 (37.052)	Prec@5 69.500 (67.891)
Epoch: [11][4540/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.4583 (2.5877)	Prec@1 41.500 (37.051)	Prec@5 73.000 (67.893)
Epoch: [11][4550/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.7187 (2.5877)	Prec@1 40.000 (37.054)	Prec@5 63.000 (67.891)
Epoch: [11][4560/9018]	Time 0.716 (0.613)	Data 0.001 (0.001)	Loss 2.6098 (2.5877)	Prec@1 40.000 (37.055)	Prec@5 65.500 (67.891)
Epoch: [11][4570/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.2605 (2.5876)	Prec@1 43.000 (37.056)	Prec@5 72.000 (67.891)
Epoch: [11][4580/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.5393 (2.5878)	Prec@1 41.000 (37.056)	Prec@5 69.000 (67.886)
Epoch: [11][4590/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 2.5746 (2.5876)	Prec@1 39.500 (37.059)	Prec@5 68.500 (67.891)
Epoch: [11][4600/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.3199 (2.5876)	Prec@1 43.500 (37.064)	Prec@5 69.500 (67.891)
Epoch: [11][4610/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.7809 (2.5877)	Prec@1 31.500 (37.064)	Prec@5 66.000 (67.888)
Epoch: [11][4620/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.8994 (2.5877)	Prec@1 31.000 (37.062)	Prec@5 62.500 (67.888)
Epoch: [11][4630/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.6572 (2.5878)	Prec@1 39.000 (37.064)	Prec@5 65.000 (67.889)
Epoch: [11][4640/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.4677 (2.5878)	Prec@1 42.500 (37.062)	Prec@5 69.500 (67.889)
Epoch: [11][4650/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.5150 (2.5877)	Prec@1 35.500 (37.064)	Prec@5 67.000 (67.889)
Epoch: [11][4660/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.7159 (2.5876)	Prec@1 39.500 (37.070)	Prec@5 66.000 (67.892)
Epoch: [11][4670/9018]	Time 0.588 (0.613)	Data 0.001 (0.001)	Loss 2.3539 (2.5875)	Prec@1 40.000 (37.071)	Prec@5 69.000 (67.892)
Epoch: [11][4680/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.8212 (2.5876)	Prec@1 36.000 (37.069)	Prec@5 66.000 (67.891)
Epoch: [11][4690/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.6048 (2.5876)	Prec@1 34.500 (37.072)	Prec@5 67.500 (67.891)
Epoch: [11][4700/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.6279 (2.5876)	Prec@1 38.500 (37.072)	Prec@5 65.000 (67.891)
Epoch: [11][4710/9018]	Time 0.625 (0.613)	Data 0.001 (0.001)	Loss 2.4691 (2.5877)	Prec@1 41.500 (37.073)	Prec@5 74.500 (67.893)
Epoch: [11][4720/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.6488 (2.5876)	Prec@1 35.500 (37.074)	Prec@5 66.000 (67.894)
Epoch: [11][4730/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.7092 (2.5877)	Prec@1 33.000 (37.073)	Prec@5 69.000 (67.893)
Epoch: [11][4740/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.6905 (2.5876)	Prec@1 34.500 (37.072)	Prec@5 64.500 (67.895)
Epoch: [11][4750/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.4499 (2.5876)	Prec@1 39.500 (37.071)	Prec@5 71.000 (67.891)
Epoch: [11][4760/9018]	Time 0.627 (0.613)	Data 0.001 (0.001)	Loss 2.6390 (2.5877)	Prec@1 35.000 (37.070)	Prec@5 68.500 (67.890)
Epoch: [11][4770/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.5447 (2.5878)	Prec@1 38.000 (37.069)	Prec@5 71.000 (67.888)
Epoch: [11][4780/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.5250 (2.5876)	Prec@1 38.000 (37.073)	Prec@5 69.500 (67.889)
Epoch: [11][4790/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.3948 (2.5876)	Prec@1 41.000 (37.074)	Prec@5 74.500 (67.890)
Epoch: [11][4800/9018]	Time 0.590 (0.613)	Data 0.001 (0.001)	Loss 2.3780 (2.5875)	Prec@1 39.500 (37.076)	Prec@5 71.500 (67.892)
Epoch: [11][4810/9018]	Time 0.622 (0.613)	Data 0.001 (0.001)	Loss 2.6470 (2.5876)	Prec@1 36.000 (37.073)	Prec@5 70.500 (67.891)
Epoch: [11][4820/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.6687 (2.5878)	Prec@1 41.000 (37.072)	Prec@5 66.000 (67.889)
Epoch: [11][4830/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.6185 (2.5879)	Prec@1 34.500 (37.069)	Prec@5 65.500 (67.886)
Epoch: [11][4840/9018]	Time 0.743 (0.613)	Data 0.001 (0.001)	Loss 2.3454 (2.5878)	Prec@1 41.500 (37.072)	Prec@5 71.000 (67.887)
Epoch: [11][4850/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.5980 (2.5878)	Prec@1 41.000 (37.072)	Prec@5 67.500 (67.889)
Epoch: [11][4860/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.8984 (2.5880)	Prec@1 33.000 (37.070)	Prec@5 63.500 (67.886)
Epoch: [11][4870/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 2.9111 (2.5881)	Prec@1 31.500 (37.070)	Prec@5 61.500 (67.883)
Epoch: [11][4880/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.4325 (2.5880)	Prec@1 42.000 (37.072)	Prec@5 72.500 (67.886)
Epoch: [11][4890/9018]	Time 0.720 (0.613)	Data 0.001 (0.001)	Loss 2.5684 (2.5881)	Prec@1 37.000 (37.068)	Prec@5 67.500 (67.884)
Epoch: [11][4900/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.5930 (2.5881)	Prec@1 36.500 (37.069)	Prec@5 67.500 (67.883)
Epoch: [11][4910/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6049 (2.5880)	Prec@1 33.000 (37.068)	Prec@5 66.000 (67.886)
Epoch: [11][4920/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.4286 (2.5879)	Prec@1 40.500 (37.070)	Prec@5 71.500 (67.890)
Epoch: [11][4930/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.7874 (2.5878)	Prec@1 33.000 (37.073)	Prec@5 63.500 (67.891)
Epoch: [11][4940/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.5118 (2.5878)	Prec@1 36.500 (37.075)	Prec@5 69.000 (67.890)
Epoch: [11][4950/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.7138 (2.5879)	Prec@1 36.500 (37.071)	Prec@5 65.500 (67.888)
Epoch: [11][4960/9018]	Time 0.589 (0.613)	Data 0.001 (0.001)	Loss 2.5768 (2.5879)	Prec@1 37.000 (37.068)	Prec@5 68.500 (67.886)
Epoch: [11][4970/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.7097 (2.5880)	Prec@1 36.500 (37.067)	Prec@5 69.000 (67.885)
Epoch: [11][4980/9018]	Time 0.591 (0.613)	Data 0.001 (0.001)	Loss 2.7631 (2.5881)	Prec@1 32.500 (37.068)	Prec@5 67.500 (67.884)
Epoch: [11][4990/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.5801 (2.5880)	Prec@1 36.500 (37.069)	Prec@5 69.000 (67.883)
Epoch: [11][5000/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.6142 (2.5880)	Prec@1 36.000 (37.070)	Prec@5 64.500 (67.882)
Epoch: [11][5010/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.5071 (2.5879)	Prec@1 39.500 (37.074)	Prec@5 69.000 (67.882)
Epoch: [11][5020/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.5584 (2.5880)	Prec@1 36.000 (37.073)	Prec@5 69.500 (67.880)
Epoch: [11][5030/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.4275 (2.5881)	Prec@1 45.500 (37.074)	Prec@5 71.000 (67.879)
Epoch: [11][5040/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 2.5418 (2.5881)	Prec@1 37.500 (37.071)	Prec@5 67.500 (67.879)
Epoch: [11][5050/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.5436 (2.5882)	Prec@1 39.000 (37.069)	Prec@5 71.500 (67.876)
Epoch: [11][5060/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.5106 (2.5882)	Prec@1 40.000 (37.071)	Prec@5 71.500 (67.878)
Epoch: [11][5070/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.5097 (2.5881)	Prec@1 42.000 (37.071)	Prec@5 72.000 (67.879)
Epoch: [11][5080/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.4047 (2.5881)	Prec@1 39.000 (37.071)	Prec@5 72.500 (67.881)
Epoch: [11][5090/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6094 (2.5882)	Prec@1 35.000 (37.070)	Prec@5 68.000 (67.877)
Epoch: [11][5100/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 2.5528 (2.5880)	Prec@1 39.000 (37.075)	Prec@5 69.500 (67.881)
Epoch: [11][5110/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.3637 (2.5879)	Prec@1 41.500 (37.077)	Prec@5 74.500 (67.884)
Epoch: [11][5120/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.4941 (2.5879)	Prec@1 37.500 (37.076)	Prec@5 68.000 (67.885)
Epoch: [11][5130/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.6817 (2.5879)	Prec@1 40.000 (37.078)	Prec@5 66.500 (67.884)
Epoch: [11][5140/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.4636 (2.5880)	Prec@1 40.000 (37.077)	Prec@5 67.000 (67.884)
Epoch: [11][5150/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.5743 (2.5881)	Prec@1 34.500 (37.075)	Prec@5 69.500 (67.883)
Epoch: [11][5160/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.5133 (2.5882)	Prec@1 36.500 (37.073)	Prec@5 69.500 (67.884)
Epoch: [11][5170/9018]	Time 0.714 (0.613)	Data 0.001 (0.001)	Loss 2.8018 (2.5883)	Prec@1 33.000 (37.071)	Prec@5 62.000 (67.881)
Epoch: [11][5180/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.7592 (2.5884)	Prec@1 33.000 (37.069)	Prec@5 70.000 (67.879)
Epoch: [11][5190/9018]	Time 0.620 (0.613)	Data 0.001 (0.001)	Loss 2.8915 (2.5884)	Prec@1 30.000 (37.069)	Prec@5 61.000 (67.881)
Epoch: [11][5200/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.4683 (2.5883)	Prec@1 41.500 (37.072)	Prec@5 70.500 (67.883)
Epoch: [11][5210/9018]	Time 0.598 (0.612)	Data 0.002 (0.001)	Loss 2.5076 (2.5881)	Prec@1 37.000 (37.074)	Prec@5 70.500 (67.885)
Epoch: [11][5220/9018]	Time 0.720 (0.612)	Data 0.001 (0.001)	Loss 2.6055 (2.5880)	Prec@1 37.500 (37.077)	Prec@5 66.500 (67.890)
Epoch: [11][5230/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.4325 (2.5879)	Prec@1 41.000 (37.079)	Prec@5 67.000 (67.891)
Epoch: [11][5240/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5642 (2.5880)	Prec@1 35.000 (37.075)	Prec@5 66.000 (67.889)
Epoch: [11][5250/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6084 (2.5879)	Prec@1 36.500 (37.077)	Prec@5 64.500 (67.890)
Epoch: [11][5260/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6159 (2.5880)	Prec@1 36.500 (37.077)	Prec@5 66.000 (67.888)
Epoch: [11][5270/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.4879 (2.5881)	Prec@1 40.000 (37.075)	Prec@5 70.000 (67.885)
Epoch: [11][5280/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.3402 (2.5880)	Prec@1 44.000 (37.076)	Prec@5 73.500 (67.884)
Epoch: [11][5290/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 2.7458 (2.5882)	Prec@1 37.500 (37.075)	Prec@5 65.000 (67.881)
Epoch: [11][5300/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.6999 (2.5881)	Prec@1 32.500 (37.077)	Prec@5 67.000 (67.883)
Epoch: [11][5310/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5504 (2.5880)	Prec@1 38.500 (37.081)	Prec@5 66.000 (67.884)
Epoch: [11][5320/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 2.6234 (2.5881)	Prec@1 37.000 (37.082)	Prec@5 68.500 (67.883)
Epoch: [11][5330/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.8269 (2.5882)	Prec@1 35.500 (37.083)	Prec@5 66.500 (67.882)
Epoch: [11][5340/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.4603 (2.5880)	Prec@1 40.000 (37.087)	Prec@5 71.500 (67.884)
Epoch: [11][5350/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.5921 (2.5880)	Prec@1 40.500 (37.087)	Prec@5 71.000 (67.883)
Epoch: [11][5360/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.4150 (2.5880)	Prec@1 40.000 (37.087)	Prec@5 69.500 (67.884)
Epoch: [11][5370/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.3300 (2.5881)	Prec@1 44.500 (37.088)	Prec@5 70.500 (67.881)
Epoch: [11][5380/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.7634 (2.5881)	Prec@1 35.000 (37.089)	Prec@5 67.000 (67.882)
Epoch: [11][5390/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5249 (2.5881)	Prec@1 39.500 (37.088)	Prec@5 69.000 (67.881)
Epoch: [11][5400/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 2.4917 (2.5881)	Prec@1 36.000 (37.087)	Prec@5 69.000 (67.880)
Epoch: [11][5410/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.5276 (2.5882)	Prec@1 36.500 (37.086)	Prec@5 71.500 (67.877)
Epoch: [11][5420/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.7309 (2.5883)	Prec@1 30.500 (37.084)	Prec@5 64.500 (67.876)
Epoch: [11][5430/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7319 (2.5884)	Prec@1 35.500 (37.084)	Prec@5 63.000 (67.875)
Epoch: [11][5440/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6600 (2.5885)	Prec@1 37.500 (37.082)	Prec@5 68.000 (67.872)
Epoch: [11][5450/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 2.8504 (2.5885)	Prec@1 36.000 (37.082)	Prec@5 63.500 (67.872)
Epoch: [11][5460/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.7929 (2.5885)	Prec@1 32.500 (37.081)	Prec@5 63.500 (67.872)
Epoch: [11][5470/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 2.7114 (2.5885)	Prec@1 33.000 (37.082)	Prec@5 62.500 (67.870)
Epoch: [11][5480/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.4728 (2.5884)	Prec@1 36.500 (37.084)	Prec@5 71.500 (67.871)
Epoch: [11][5490/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6279 (2.5886)	Prec@1 34.000 (37.081)	Prec@5 69.500 (67.869)
Epoch: [11][5500/9018]	Time 0.740 (0.612)	Data 0.001 (0.001)	Loss 2.6279 (2.5886)	Prec@1 36.000 (37.079)	Prec@5 67.000 (67.868)
Epoch: [11][5510/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8977 (2.5887)	Prec@1 31.500 (37.075)	Prec@5 61.500 (67.866)
Epoch: [11][5520/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.8800 (2.5888)	Prec@1 24.000 (37.074)	Prec@5 67.000 (67.866)
Epoch: [11][5530/9018]	Time 0.617 (0.612)	Data 0.001 (0.001)	Loss 2.4635 (2.5887)	Prec@1 38.500 (37.076)	Prec@5 68.500 (67.868)
Epoch: [11][5540/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.5437 (2.5887)	Prec@1 39.500 (37.077)	Prec@5 69.000 (67.865)
Epoch: [11][5550/9018]	Time 0.723 (0.612)	Data 0.001 (0.001)	Loss 2.7091 (2.5889)	Prec@1 36.500 (37.075)	Prec@5 63.500 (67.861)
Epoch: [11][5560/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.5761 (2.5889)	Prec@1 37.000 (37.072)	Prec@5 72.500 (67.862)
Epoch: [11][5570/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6358 (2.5888)	Prec@1 35.500 (37.071)	Prec@5 66.000 (67.861)
Epoch: [11][5580/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.5410 (2.5888)	Prec@1 38.500 (37.071)	Prec@5 67.500 (67.861)
Epoch: [11][5590/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5812 (2.5888)	Prec@1 37.000 (37.070)	Prec@5 66.000 (67.861)
Epoch: [11][5600/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6207 (2.5887)	Prec@1 30.000 (37.070)	Prec@5 65.500 (67.863)
Epoch: [11][5610/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 2.6867 (2.5888)	Prec@1 35.000 (37.068)	Prec@5 64.500 (67.862)
Epoch: [11][5620/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.4759 (2.5888)	Prec@1 38.500 (37.063)	Prec@5 67.500 (67.860)
Epoch: [11][5630/9018]	Time 0.590 (0.612)	Data 0.001 (0.001)	Loss 2.5434 (2.5889)	Prec@1 39.500 (37.063)	Prec@5 68.500 (67.858)
Epoch: [11][5640/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.5858 (2.5888)	Prec@1 39.000 (37.065)	Prec@5 68.500 (67.860)
Epoch: [11][5650/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.9196 (2.5889)	Prec@1 34.500 (37.065)	Prec@5 63.500 (67.859)
Epoch: [11][5660/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7743 (2.5889)	Prec@1 36.500 (37.066)	Prec@5 65.500 (67.858)
Epoch: [11][5670/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 2.3489 (2.5888)	Prec@1 39.500 (37.067)	Prec@5 72.000 (67.859)
Epoch: [11][5680/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6020 (2.5888)	Prec@1 33.500 (37.065)	Prec@5 67.500 (67.858)
Epoch: [11][5690/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 2.4907 (2.5887)	Prec@1 35.500 (37.067)	Prec@5 67.500 (67.860)
Epoch: [11][5700/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.6521 (2.5886)	Prec@1 32.500 (37.069)	Prec@5 69.500 (67.862)
Epoch: [11][5710/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.4644 (2.5887)	Prec@1 38.500 (37.066)	Prec@5 72.000 (67.861)
Epoch: [11][5720/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.8706 (2.5887)	Prec@1 35.000 (37.066)	Prec@5 60.500 (67.858)
Epoch: [11][5730/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.6361 (2.5889)	Prec@1 36.500 (37.063)	Prec@5 69.000 (67.854)
Epoch: [11][5740/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.2824 (2.5889)	Prec@1 39.500 (37.062)	Prec@5 78.500 (67.855)
Epoch: [11][5750/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 2.5885 (2.5889)	Prec@1 36.500 (37.061)	Prec@5 64.500 (67.854)
Epoch: [11][5760/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.4319 (2.5889)	Prec@1 37.000 (37.063)	Prec@5 71.000 (67.853)
Epoch: [11][5770/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.4459 (2.5888)	Prec@1 38.500 (37.063)	Prec@5 73.500 (67.854)
Epoch: [11][5780/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.2639 (2.5888)	Prec@1 43.000 (37.064)	Prec@5 72.500 (67.855)
Epoch: [11][5790/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.6386 (2.5887)	Prec@1 38.000 (37.064)	Prec@5 70.000 (67.856)
Epoch: [11][5800/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7356 (2.5889)	Prec@1 37.500 (37.062)	Prec@5 66.000 (67.852)
Epoch: [11][5810/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 2.7243 (2.5889)	Prec@1 34.500 (37.062)	Prec@5 64.500 (67.853)
Epoch: [11][5820/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.8001 (2.5889)	Prec@1 36.000 (37.062)	Prec@5 64.000 (67.853)
Epoch: [11][5830/9018]	Time 0.718 (0.612)	Data 0.001 (0.001)	Loss 2.6367 (2.5889)	Prec@1 35.500 (37.062)	Prec@5 68.000 (67.853)
Epoch: [11][5840/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6142 (2.5889)	Prec@1 34.500 (37.064)	Prec@5 68.000 (67.855)
Epoch: [11][5850/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.4403 (2.5889)	Prec@1 39.500 (37.063)	Prec@5 72.000 (67.855)
Epoch: [11][5860/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.6319 (2.5889)	Prec@1 38.000 (37.062)	Prec@5 63.500 (67.856)
Epoch: [11][5870/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.8093 (2.5891)	Prec@1 30.500 (37.055)	Prec@5 63.000 (67.851)
Epoch: [11][5880/9018]	Time 0.713 (0.612)	Data 0.001 (0.001)	Loss 2.3442 (2.5890)	Prec@1 42.500 (37.057)	Prec@5 69.500 (67.853)
Epoch: [11][5890/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.8281 (2.5891)	Prec@1 35.500 (37.055)	Prec@5 63.500 (67.853)
Epoch: [11][5900/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.5634 (2.5891)	Prec@1 37.500 (37.054)	Prec@5 69.500 (67.854)
Epoch: [11][5910/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6931 (2.5891)	Prec@1 34.000 (37.054)	Prec@5 71.000 (67.855)
Epoch: [11][5920/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.9947 (2.5891)	Prec@1 30.000 (37.055)	Prec@5 61.000 (67.854)
Epoch: [11][5930/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.8785 (2.5892)	Prec@1 31.000 (37.053)	Prec@5 60.500 (67.850)
Epoch: [11][5940/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.4687 (2.5892)	Prec@1 37.000 (37.054)	Prec@5 73.500 (67.851)
Epoch: [11][5950/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 2.8559 (2.5891)	Prec@1 32.500 (37.058)	Prec@5 62.500 (67.852)
Epoch: [11][5960/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7114 (2.5892)	Prec@1 31.500 (37.056)	Prec@5 67.000 (67.849)
Epoch: [11][5970/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.3409 (2.5891)	Prec@1 41.000 (37.056)	Prec@5 72.500 (67.851)
Epoch: [11][5980/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.5254 (2.5891)	Prec@1 36.500 (37.057)	Prec@5 68.500 (67.849)
Epoch: [11][5990/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.3869 (2.5891)	Prec@1 37.500 (37.058)	Prec@5 70.500 (67.848)
Epoch: [11][6000/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6429 (2.5892)	Prec@1 37.500 (37.060)	Prec@5 68.000 (67.848)
Epoch: [11][6010/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.6717 (2.5891)	Prec@1 42.000 (37.062)	Prec@5 64.000 (67.848)
Epoch: [11][6020/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.6907 (2.5891)	Prec@1 35.500 (37.061)	Prec@5 65.000 (67.850)
Epoch: [11][6030/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.3980 (2.5891)	Prec@1 37.000 (37.062)	Prec@5 74.500 (67.852)
Epoch: [11][6040/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.7298 (2.5891)	Prec@1 32.500 (37.064)	Prec@5 65.500 (67.851)
Epoch: [11][6050/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6612 (2.5891)	Prec@1 34.500 (37.063)	Prec@5 65.500 (67.851)
Epoch: [11][6060/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.6060 (2.5891)	Prec@1 38.000 (37.063)	Prec@5 68.000 (67.850)
Epoch: [11][6070/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 2.5166 (2.5891)	Prec@1 35.000 (37.061)	Prec@5 71.500 (67.850)
Epoch: [11][6080/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.8525 (2.5891)	Prec@1 35.000 (37.062)	Prec@5 64.000 (67.849)
Epoch: [11][6090/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7097 (2.5891)	Prec@1 37.500 (37.064)	Prec@5 65.500 (67.849)
Epoch: [11][6100/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.4920 (2.5890)	Prec@1 38.500 (37.065)	Prec@5 68.500 (67.849)
Epoch: [11][6110/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8832 (2.5889)	Prec@1 30.000 (37.064)	Prec@5 61.000 (67.849)
Epoch: [11][6120/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4957 (2.5890)	Prec@1 35.500 (37.064)	Prec@5 69.000 (67.848)
Epoch: [11][6130/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.4259 (2.5891)	Prec@1 43.500 (37.065)	Prec@5 73.000 (67.847)
Epoch: [11][6140/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.7612 (2.5892)	Prec@1 36.000 (37.063)	Prec@5 62.500 (67.845)
Epoch: [11][6150/9018]	Time 0.591 (0.612)	Data 0.001 (0.001)	Loss 2.7742 (2.5894)	Prec@1 38.000 (37.060)	Prec@5 66.500 (67.845)
Epoch: [11][6160/9018]	Time 0.719 (0.612)	Data 0.001 (0.001)	Loss 2.5523 (2.5894)	Prec@1 34.000 (37.060)	Prec@5 70.000 (67.846)
Epoch: [11][6170/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.5485 (2.5894)	Prec@1 40.000 (37.059)	Prec@5 68.500 (67.845)
Epoch: [11][6180/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6952 (2.5894)	Prec@1 35.000 (37.059)	Prec@5 64.500 (67.845)
Epoch: [11][6190/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 2.9480 (2.5894)	Prec@1 32.500 (37.056)	Prec@5 62.500 (67.845)
Epoch: [11][6200/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 2.7829 (2.5893)	Prec@1 35.000 (37.060)	Prec@5 63.500 (67.847)
Epoch: [11][6210/9018]	Time 0.717 (0.612)	Data 0.001 (0.001)	Loss 2.7029 (2.5892)	Prec@1 36.500 (37.059)	Prec@5 66.500 (67.848)
Epoch: [11][6220/9018]	Time 0.589 (0.612)	Data 0.001 (0.001)	Loss 2.6885 (2.5892)	Prec@1 33.500 (37.059)	Prec@5 64.500 (67.849)
Epoch: [11][6230/9018]	Time 0.589 (0.612)	Data 0.001 (0.001)	Loss 2.7707 (2.5892)	Prec@1 37.000 (37.062)	Prec@5 68.000 (67.849)
Epoch: [11][6240/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4352 (2.5891)	Prec@1 43.000 (37.066)	Prec@5 74.000 (67.850)
Epoch: [11][6250/9018]	Time 0.614 (0.612)	Data 0.001 (0.001)	Loss 2.4439 (2.5891)	Prec@1 39.500 (37.066)	Prec@5 68.000 (67.849)
Epoch: [11][6260/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5942 (2.5891)	Prec@1 38.000 (37.067)	Prec@5 70.000 (67.849)
Epoch: [11][6270/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.7096 (2.5891)	Prec@1 32.500 (37.066)	Prec@5 66.000 (67.850)
Epoch: [11][6280/9018]	Time 0.590 (0.612)	Data 0.001 (0.001)	Loss 2.7907 (2.5891)	Prec@1 31.500 (37.066)	Prec@5 68.000 (67.850)
Epoch: [11][6290/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6019 (2.5891)	Prec@1 37.500 (37.067)	Prec@5 68.500 (67.852)
Epoch: [11][6300/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.5266 (2.5891)	Prec@1 38.500 (37.066)	Prec@5 70.000 (67.850)
Epoch: [11][6310/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 2.5446 (2.5891)	Prec@1 37.500 (37.066)	Prec@5 70.000 (67.849)
Epoch: [11][6320/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 2.6329 (2.5892)	Prec@1 33.500 (37.064)	Prec@5 69.000 (67.849)
Epoch: [11][6330/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7030 (2.5892)	Prec@1 33.000 (37.064)	Prec@5 62.000 (67.848)
Epoch: [11][6340/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.4620 (2.5891)	Prec@1 40.500 (37.064)	Prec@5 67.000 (67.849)
Epoch: [11][6350/9018]	Time 0.614 (0.612)	Data 0.001 (0.001)	Loss 2.7067 (2.5892)	Prec@1 33.000 (37.063)	Prec@5 68.000 (67.848)
Epoch: [11][6360/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 2.3894 (2.5891)	Prec@1 39.000 (37.064)	Prec@5 73.000 (67.850)
Epoch: [11][6370/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.8102 (2.5891)	Prec@1 33.000 (37.065)	Prec@5 58.000 (67.849)
Epoch: [11][6380/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5377 (2.5891)	Prec@1 34.000 (37.066)	Prec@5 67.000 (67.850)
Epoch: [11][6390/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5433 (2.5891)	Prec@1 38.000 (37.067)	Prec@5 67.000 (67.848)
Epoch: [11][6400/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.5556 (2.5890)	Prec@1 36.000 (37.068)	Prec@5 70.500 (67.850)
Epoch: [11][6410/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6054 (2.5890)	Prec@1 36.000 (37.065)	Prec@5 69.000 (67.851)
Epoch: [11][6420/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6091 (2.5890)	Prec@1 36.500 (37.067)	Prec@5 66.500 (67.851)
Epoch: [11][6430/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 2.4687 (2.5889)	Prec@1 35.000 (37.067)	Prec@5 70.000 (67.854)
Epoch: [11][6440/9018]	Time 0.590 (0.612)	Data 0.001 (0.001)	Loss 2.6397 (2.5889)	Prec@1 36.500 (37.070)	Prec@5 67.500 (67.854)
Epoch: [11][6450/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.6328 (2.5889)	Prec@1 35.000 (37.068)	Prec@5 66.000 (67.853)
Epoch: [11][6460/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.4914 (2.5889)	Prec@1 37.000 (37.068)	Prec@5 69.500 (67.854)
Epoch: [11][6470/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.6717 (2.5890)	Prec@1 36.000 (37.067)	Prec@5 65.000 (67.850)
Epoch: [11][6480/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.3037 (2.5891)	Prec@1 42.000 (37.065)	Prec@5 70.500 (67.848)
Epoch: [11][6490/9018]	Time 0.714 (0.612)	Data 0.001 (0.001)	Loss 2.6777 (2.5890)	Prec@1 34.500 (37.066)	Prec@5 63.500 (67.848)
Epoch: [11][6500/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.7512 (2.5890)	Prec@1 34.000 (37.066)	Prec@5 64.000 (67.847)
Epoch: [11][6510/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.6815 (2.5891)	Prec@1 39.500 (37.067)	Prec@5 66.500 (67.847)
Epoch: [11][6520/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.5000 (2.5891)	Prec@1 36.500 (37.067)	Prec@5 72.000 (67.847)
Epoch: [11][6530/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5607 (2.5890)	Prec@1 37.500 (37.069)	Prec@5 67.000 (67.848)
Epoch: [11][6540/9018]	Time 0.707 (0.612)	Data 0.001 (0.001)	Loss 2.6100 (2.5891)	Prec@1 35.500 (37.067)	Prec@5 63.000 (67.847)
Epoch: [11][6550/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.4799 (2.5891)	Prec@1 38.500 (37.067)	Prec@5 68.500 (67.847)
Epoch: [11][6560/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5566 (2.5890)	Prec@1 38.500 (37.068)	Prec@5 70.000 (67.845)
Epoch: [11][6570/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.4612 (2.5889)	Prec@1 41.000 (37.071)	Prec@5 74.000 (67.849)
Epoch: [11][6580/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.3078 (2.5888)	Prec@1 41.500 (37.072)	Prec@5 69.500 (67.850)
Epoch: [11][6590/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.6538 (2.5890)	Prec@1 41.500 (37.069)	Prec@5 70.000 (67.848)
Epoch: [11][6600/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5491 (2.5891)	Prec@1 39.500 (37.068)	Prec@5 71.500 (67.849)
Epoch: [11][6610/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.5621 (2.5891)	Prec@1 35.000 (37.067)	Prec@5 70.000 (67.851)
Epoch: [11][6620/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6042 (2.5891)	Prec@1 34.000 (37.067)	Prec@5 68.000 (67.851)
Epoch: [11][6630/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.6014 (2.5891)	Prec@1 36.000 (37.066)	Prec@5 69.500 (67.851)
Epoch: [11][6640/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 2.4274 (2.5891)	Prec@1 38.500 (37.066)	Prec@5 72.500 (67.850)
Epoch: [11][6650/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.5612 (2.5892)	Prec@1 38.000 (37.064)	Prec@5 68.000 (67.847)
Epoch: [11][6660/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6068 (2.5891)	Prec@1 34.500 (37.064)	Prec@5 65.500 (67.847)
Epoch: [11][6670/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6720 (2.5891)	Prec@1 35.000 (37.065)	Prec@5 65.500 (67.847)
Epoch: [11][6680/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 2.7098 (2.5890)	Prec@1 33.500 (37.064)	Prec@5 66.500 (67.848)
Epoch: [11][6690/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 2.8990 (2.5891)	Prec@1 31.000 (37.065)	Prec@5 60.500 (67.846)
Epoch: [11][6700/9018]	Time 0.589 (0.612)	Data 0.001 (0.001)	Loss 2.5150 (2.5891)	Prec@1 34.000 (37.065)	Prec@5 68.000 (67.845)
Epoch: [11][6710/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.4910 (2.5891)	Prec@1 41.500 (37.065)	Prec@5 69.500 (67.847)
Epoch: [11][6720/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.5502 (2.5891)	Prec@1 37.500 (37.066)	Prec@5 67.500 (67.847)
Epoch: [11][6730/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.8082 (2.5891)	Prec@1 34.000 (37.063)	Prec@5 61.000 (67.845)
Epoch: [11][6740/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.4370 (2.5890)	Prec@1 34.000 (37.065)	Prec@5 70.500 (67.847)
Epoch: [11][6750/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.5090 (2.5890)	Prec@1 39.000 (37.065)	Prec@5 70.000 (67.846)
Epoch: [11][6760/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.5538 (2.5889)	Prec@1 38.500 (37.065)	Prec@5 68.000 (67.846)
Epoch: [11][6770/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5905 (2.5890)	Prec@1 36.500 (37.062)	Prec@5 69.000 (67.846)
Epoch: [11][6780/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.4991 (2.5891)	Prec@1 37.000 (37.061)	Prec@5 69.500 (67.844)
Epoch: [11][6790/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.6688 (2.5891)	Prec@1 34.000 (37.059)	Prec@5 65.000 (67.844)
Epoch: [11][6800/9018]	Time 0.590 (0.612)	Data 0.001 (0.001)	Loss 2.5368 (2.5892)	Prec@1 40.000 (37.059)	Prec@5 69.500 (67.843)
Epoch: [11][6810/9018]	Time 0.590 (0.612)	Data 0.001 (0.001)	Loss 2.4940 (2.5892)	Prec@1 38.500 (37.059)	Prec@5 66.000 (67.841)
Epoch: [11][6820/9018]	Time 0.715 (0.612)	Data 0.001 (0.001)	Loss 2.6701 (2.5891)	Prec@1 35.000 (37.061)	Prec@5 67.500 (67.844)
Epoch: [11][6830/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.8212 (2.5891)	Prec@1 38.000 (37.061)	Prec@5 64.000 (67.845)
Epoch: [11][6840/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.4817 (2.5891)	Prec@1 40.500 (37.059)	Prec@5 72.500 (67.845)
Epoch: [11][6850/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5698 (2.5891)	Prec@1 38.000 (37.057)	Prec@5 69.000 (67.844)
Epoch: [11][6860/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5000 (2.5893)	Prec@1 39.000 (37.055)	Prec@5 70.000 (67.840)
Epoch: [11][6870/9018]	Time 0.724 (0.612)	Data 0.001 (0.001)	Loss 2.6542 (2.5894)	Prec@1 35.500 (37.053)	Prec@5 66.500 (67.838)
Epoch: [11][6880/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 2.7629 (2.5896)	Prec@1 34.000 (37.051)	Prec@5 66.000 (67.836)
Epoch: [11][6890/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.4151 (2.5895)	Prec@1 41.000 (37.052)	Prec@5 70.000 (67.838)
Epoch: [11][6900/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.7065 (2.5895)	Prec@1 31.000 (37.051)	Prec@5 65.000 (67.837)
Epoch: [11][6910/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5220 (2.5894)	Prec@1 35.500 (37.053)	Prec@5 72.000 (67.840)
Epoch: [11][6920/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5530 (2.5893)	Prec@1 38.000 (37.056)	Prec@5 68.000 (67.842)
Epoch: [11][6930/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.8464 (2.5893)	Prec@1 32.000 (37.056)	Prec@5 63.000 (67.842)
Epoch: [11][6940/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.5977 (2.5891)	Prec@1 34.500 (37.059)	Prec@5 67.000 (67.843)
Epoch: [11][6950/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.7175 (2.5892)	Prec@1 31.000 (37.059)	Prec@5 64.000 (67.841)
Epoch: [11][6960/9018]	Time 0.590 (0.612)	Data 0.001 (0.001)	Loss 2.3243 (2.5892)	Prec@1 42.500 (37.059)	Prec@5 74.000 (67.840)
Epoch: [11][6970/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.4351 (2.5891)	Prec@1 36.500 (37.060)	Prec@5 74.000 (67.842)
Epoch: [11][6980/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8040 (2.5891)	Prec@1 36.500 (37.062)	Prec@5 64.000 (67.842)
Epoch: [11][6990/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.6484 (2.5890)	Prec@1 37.000 (37.064)	Prec@5 67.500 (67.842)
Epoch: [11][7000/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.4021 (2.5890)	Prec@1 41.000 (37.064)	Prec@5 72.500 (67.842)
Epoch: [11][7010/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6113 (2.5890)	Prec@1 33.500 (37.064)	Prec@5 66.500 (67.843)
Epoch: [11][7020/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.8972 (2.5891)	Prec@1 28.500 (37.061)	Prec@5 63.000 (67.841)
Epoch: [11][7030/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.6114 (2.5891)	Prec@1 34.500 (37.060)	Prec@5 69.500 (67.841)
Epoch: [11][7040/9018]	Time 0.591 (0.612)	Data 0.001 (0.001)	Loss 2.5632 (2.5891)	Prec@1 36.500 (37.059)	Prec@5 68.000 (67.841)
Epoch: [11][7050/9018]	Time 0.591 (0.612)	Data 0.001 (0.001)	Loss 2.6744 (2.5891)	Prec@1 32.500 (37.058)	Prec@5 67.500 (67.843)
Epoch: [11][7060/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 2.7616 (2.5891)	Prec@1 32.000 (37.059)	Prec@5 62.500 (67.841)
Epoch: [11][7070/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.5043 (2.5890)	Prec@1 39.000 (37.060)	Prec@5 62.500 (67.840)
Epoch: [11][7080/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5330 (2.5891)	Prec@1 34.500 (37.059)	Prec@5 65.500 (67.839)
Epoch: [11][7090/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.5257 (2.5890)	Prec@1 42.000 (37.062)	Prec@5 68.000 (67.841)
Epoch: [11][7100/9018]	Time 0.617 (0.612)	Data 0.001 (0.001)	Loss 2.4680 (2.5890)	Prec@1 36.500 (37.061)	Prec@5 68.000 (67.839)
Epoch: [11][7110/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6544 (2.5890)	Prec@1 34.000 (37.060)	Prec@5 66.500 (67.840)
Epoch: [11][7120/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7771 (2.5890)	Prec@1 33.000 (37.063)	Prec@5 62.000 (67.840)
Epoch: [11][7130/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 2.6875 (2.5890)	Prec@1 37.000 (37.063)	Prec@5 63.500 (67.839)
Epoch: [11][7140/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5541 (2.5890)	Prec@1 42.500 (37.064)	Prec@5 67.500 (67.839)
Epoch: [11][7150/9018]	Time 0.726 (0.612)	Data 0.001 (0.001)	Loss 2.7018 (2.5890)	Prec@1 38.000 (37.065)	Prec@5 64.000 (67.840)
Epoch: [11][7160/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.4049 (2.5890)	Prec@1 45.000 (37.066)	Prec@5 71.000 (67.839)
Epoch: [11][7170/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.5502 (2.5890)	Prec@1 35.000 (37.066)	Prec@5 67.500 (67.839)
Epoch: [11][7180/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.5543 (2.5890)	Prec@1 36.500 (37.067)	Prec@5 71.000 (67.840)
Epoch: [11][7190/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.7791 (2.5890)	Prec@1 34.000 (37.067)	Prec@5 63.500 (67.839)
Epoch: [11][7200/9018]	Time 0.724 (0.611)	Data 0.001 (0.001)	Loss 2.6059 (2.5891)	Prec@1 40.000 (37.065)	Prec@5 69.000 (67.838)
Epoch: [11][7210/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.4976 (2.5891)	Prec@1 40.500 (37.067)	Prec@5 69.500 (67.839)
Epoch: [11][7220/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.3586 (2.5890)	Prec@1 32.500 (37.067)	Prec@5 73.000 (67.840)
Epoch: [11][7230/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.9642 (2.5890)	Prec@1 33.500 (37.068)	Prec@5 65.000 (67.842)
Epoch: [11][7240/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.3596 (2.5890)	Prec@1 39.000 (37.068)	Prec@5 69.500 (67.843)
Epoch: [11][7250/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.4945 (2.5890)	Prec@1 38.500 (37.066)	Prec@5 69.000 (67.841)
Epoch: [11][7260/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.4822 (2.5891)	Prec@1 40.000 (37.066)	Prec@5 71.500 (67.841)
Epoch: [11][7270/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.6616 (2.5890)	Prec@1 35.500 (37.069)	Prec@5 68.500 (67.842)
Epoch: [11][7280/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.6146 (2.5890)	Prec@1 37.000 (37.069)	Prec@5 63.000 (67.840)
Epoch: [11][7290/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.5266 (2.5890)	Prec@1 42.000 (37.071)	Prec@5 69.000 (67.841)
Epoch: [11][7300/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.2753 (2.5889)	Prec@1 42.000 (37.075)	Prec@5 73.500 (67.843)
Epoch: [11][7310/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.6087 (2.5889)	Prec@1 39.500 (37.074)	Prec@5 65.000 (67.843)
Epoch: [11][7320/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.7778 (2.5889)	Prec@1 34.500 (37.073)	Prec@5 62.000 (67.842)
Epoch: [11][7330/9018]	Time 0.618 (0.611)	Data 0.001 (0.001)	Loss 2.5176 (2.5889)	Prec@1 38.000 (37.072)	Prec@5 68.000 (67.843)
Epoch: [11][7340/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.9069 (2.5890)	Prec@1 33.000 (37.069)	Prec@5 58.500 (67.839)
Epoch: [11][7350/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.6979 (2.5890)	Prec@1 32.500 (37.069)	Prec@5 67.000 (67.839)
Epoch: [11][7360/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.7152 (2.5890)	Prec@1 38.000 (37.068)	Prec@5 62.000 (67.839)
Epoch: [11][7370/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.8269 (2.5891)	Prec@1 34.000 (37.066)	Prec@5 64.000 (67.837)
Epoch: [11][7380/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 2.6764 (2.5891)	Prec@1 34.500 (37.068)	Prec@5 61.500 (67.837)
Epoch: [11][7390/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.5001 (2.5891)	Prec@1 42.000 (37.067)	Prec@5 66.500 (67.836)
Epoch: [11][7400/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.7664 (2.5893)	Prec@1 35.000 (37.064)	Prec@5 63.500 (67.830)
Epoch: [11][7410/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.6757 (2.5893)	Prec@1 33.500 (37.064)	Prec@5 67.500 (67.832)
Epoch: [11][7420/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.4455 (2.5892)	Prec@1 42.000 (37.064)	Prec@5 70.500 (67.832)
Epoch: [11][7430/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.5263 (2.5893)	Prec@1 38.000 (37.063)	Prec@5 68.000 (67.831)
Epoch: [11][7440/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.7060 (2.5894)	Prec@1 33.000 (37.060)	Prec@5 69.000 (67.829)
Epoch: [11][7450/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 2.3661 (2.5895)	Prec@1 39.500 (37.057)	Prec@5 71.000 (67.829)
Epoch: [11][7460/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.6887 (2.5895)	Prec@1 34.500 (37.055)	Prec@5 69.000 (67.829)
Epoch: [11][7470/9018]	Time 0.604 (0.611)	Data 0.002 (0.001)	Loss 2.6482 (2.5896)	Prec@1 35.000 (37.054)	Prec@5 65.000 (67.826)
Epoch: [11][7480/9018]	Time 0.723 (0.611)	Data 0.001 (0.001)	Loss 2.6612 (2.5896)	Prec@1 37.500 (37.054)	Prec@5 64.000 (67.826)
Epoch: [11][7490/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.5736 (2.5895)	Prec@1 40.500 (37.056)	Prec@5 69.500 (67.827)
Epoch: [11][7500/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.5423 (2.5896)	Prec@1 33.500 (37.055)	Prec@5 68.500 (67.826)
Epoch: [11][7510/9018]	Time 0.628 (0.611)	Data 0.001 (0.001)	Loss 2.2957 (2.5895)	Prec@1 47.000 (37.058)	Prec@5 74.500 (67.826)
Epoch: [11][7520/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.6783 (2.5896)	Prec@1 33.000 (37.056)	Prec@5 66.000 (67.823)
Epoch: [11][7530/9018]	Time 0.724 (0.611)	Data 0.001 (0.001)	Loss 2.7232 (2.5896)	Prec@1 36.000 (37.057)	Prec@5 67.500 (67.823)
Epoch: [11][7540/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.6289 (2.5896)	Prec@1 39.500 (37.057)	Prec@5 68.000 (67.823)
Epoch: [11][7550/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 2.6467 (2.5895)	Prec@1 35.500 (37.057)	Prec@5 66.000 (67.824)
Epoch: [11][7560/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.6579 (2.5894)	Prec@1 37.000 (37.058)	Prec@5 63.500 (67.825)
Epoch: [11][7570/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.6522 (2.5895)	Prec@1 33.500 (37.057)	Prec@5 71.000 (67.826)
Epoch: [11][7580/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.7065 (2.5895)	Prec@1 39.500 (37.057)	Prec@5 64.500 (67.824)
Epoch: [11][7590/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 2.9408 (2.5895)	Prec@1 31.000 (37.058)	Prec@5 63.500 (67.825)
Epoch: [11][7600/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.6469 (2.5897)	Prec@1 37.500 (37.056)	Prec@5 64.500 (67.823)
Epoch: [11][7610/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.6338 (2.5896)	Prec@1 34.000 (37.056)	Prec@5 66.000 (67.823)
Epoch: [11][7620/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.5013 (2.5896)	Prec@1 37.000 (37.055)	Prec@5 68.500 (67.823)
Epoch: [11][7630/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.5116 (2.5897)	Prec@1 42.000 (37.056)	Prec@5 70.500 (67.822)
Epoch: [11][7640/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 2.4444 (2.5896)	Prec@1 40.000 (37.057)	Prec@5 67.000 (67.824)
Epoch: [11][7650/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.8086 (2.5896)	Prec@1 33.000 (37.056)	Prec@5 64.500 (67.824)
Epoch: [11][7660/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.3554 (2.5896)	Prec@1 42.500 (37.055)	Prec@5 72.500 (67.825)
Epoch: [11][7670/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.6297 (2.5897)	Prec@1 33.000 (37.055)	Prec@5 66.500 (67.824)
Epoch: [11][7680/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.5473 (2.5896)	Prec@1 37.000 (37.054)	Prec@5 71.500 (67.824)
Epoch: [11][7690/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.6834 (2.5895)	Prec@1 34.500 (37.054)	Prec@5 67.000 (67.829)
Epoch: [11][7700/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.6054 (2.5895)	Prec@1 35.000 (37.053)	Prec@5 69.500 (67.830)
Epoch: [11][7710/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.7632 (2.5895)	Prec@1 34.500 (37.050)	Prec@5 66.000 (67.832)
Epoch: [11][7720/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 2.4876 (2.5895)	Prec@1 41.500 (37.052)	Prec@5 70.000 (67.832)
Epoch: [11][7730/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.8093 (2.5894)	Prec@1 31.500 (37.053)	Prec@5 65.000 (67.832)
Epoch: [11][7740/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.7291 (2.5894)	Prec@1 34.000 (37.053)	Prec@5 65.500 (67.832)
Epoch: [11][7750/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.6871 (2.5893)	Prec@1 32.500 (37.053)	Prec@5 67.000 (67.834)
Epoch: [11][7760/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.5954 (2.5893)	Prec@1 37.500 (37.052)	Prec@5 71.500 (67.833)
Epoch: [11][7770/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 2.6919 (2.5894)	Prec@1 33.500 (37.050)	Prec@5 66.500 (67.832)
Epoch: [11][7780/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.6064 (2.5894)	Prec@1 39.500 (37.050)	Prec@5 64.000 (67.831)
Epoch: [11][7790/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.6097 (2.5894)	Prec@1 37.500 (37.050)	Prec@5 68.000 (67.831)
Epoch: [11][7800/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.7287 (2.5894)	Prec@1 38.000 (37.052)	Prec@5 66.000 (67.831)
Epoch: [11][7810/9018]	Time 0.724 (0.611)	Data 0.001 (0.001)	Loss 2.5391 (2.5894)	Prec@1 34.500 (37.052)	Prec@5 70.500 (67.832)
Epoch: [11][7820/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.6957 (2.5894)	Prec@1 34.500 (37.051)	Prec@5 66.500 (67.830)
Epoch: [11][7830/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.6950 (2.5894)	Prec@1 31.000 (37.052)	Prec@5 65.000 (67.830)
Epoch: [11][7840/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.6987 (2.5895)	Prec@1 31.000 (37.048)	Prec@5 68.500 (67.827)
Epoch: [11][7850/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 2.5876 (2.5895)	Prec@1 39.000 (37.049)	Prec@5 68.500 (67.829)
Epoch: [11][7860/9018]	Time 0.737 (0.611)	Data 0.001 (0.001)	Loss 2.5535 (2.5896)	Prec@1 36.000 (37.047)	Prec@5 70.500 (67.828)
Epoch: [11][7870/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.6553 (2.5896)	Prec@1 35.000 (37.049)	Prec@5 63.500 (67.828)
Epoch: [11][7880/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.5517 (2.5896)	Prec@1 33.500 (37.048)	Prec@5 65.500 (67.829)
Epoch: [11][7890/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.6300 (2.5897)	Prec@1 37.000 (37.047)	Prec@5 67.500 (67.826)
Epoch: [11][7900/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.5836 (2.5897)	Prec@1 40.000 (37.047)	Prec@5 69.000 (67.826)
Epoch: [11][7910/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.6045 (2.5896)	Prec@1 37.500 (37.048)	Prec@5 64.000 (67.827)
Epoch: [11][7920/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.6498 (2.5897)	Prec@1 37.000 (37.047)	Prec@5 67.000 (67.827)
Epoch: [11][7930/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.3611 (2.5897)	Prec@1 45.000 (37.046)	Prec@5 73.500 (67.826)
Epoch: [11][7940/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.5736 (2.5897)	Prec@1 37.500 (37.046)	Prec@5 66.000 (67.827)
Epoch: [11][7950/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.5557 (2.5896)	Prec@1 38.000 (37.047)	Prec@5 68.500 (67.829)
Epoch: [11][7960/9018]	Time 0.613 (0.611)	Data 0.001 (0.001)	Loss 2.5467 (2.5896)	Prec@1 35.500 (37.046)	Prec@5 67.500 (67.828)
Epoch: [11][7970/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.7949 (2.5896)	Prec@1 35.500 (37.046)	Prec@5 66.500 (67.827)
Epoch: [11][7980/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.5425 (2.5897)	Prec@1 37.000 (37.043)	Prec@5 72.500 (67.827)
Epoch: [11][7990/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.7318 (2.5898)	Prec@1 32.500 (37.041)	Prec@5 69.000 (67.824)
Epoch: [11][8000/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.6040 (2.5898)	Prec@1 36.500 (37.041)	Prec@5 68.000 (67.826)
Epoch: [11][8010/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.6356 (2.5898)	Prec@1 39.500 (37.039)	Prec@5 68.000 (67.825)
Epoch: [11][8020/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.7471 (2.5898)	Prec@1 32.000 (37.039)	Prec@5 65.500 (67.825)
Epoch: [11][8030/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 2.6194 (2.5898)	Prec@1 32.000 (37.038)	Prec@5 64.500 (67.824)
Epoch: [11][8040/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.6957 (2.5899)	Prec@1 34.000 (37.038)	Prec@5 62.000 (67.824)
Epoch: [11][8050/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.4801 (2.5899)	Prec@1 39.500 (37.037)	Prec@5 70.000 (67.823)
Epoch: [11][8060/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.4134 (2.5899)	Prec@1 37.000 (37.037)	Prec@5 70.000 (67.824)
Epoch: [11][8070/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.8095 (2.5899)	Prec@1 36.000 (37.035)	Prec@5 59.500 (67.823)
Epoch: [11][8080/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 2.5674 (2.5900)	Prec@1 36.500 (37.035)	Prec@5 67.000 (67.822)
Epoch: [11][8090/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.5566 (2.5899)	Prec@1 36.000 (37.035)	Prec@5 68.500 (67.824)
Epoch: [11][8100/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.7046 (2.5900)	Prec@1 40.500 (37.035)	Prec@5 67.000 (67.823)
Epoch: [11][8110/9018]	Time 0.620 (0.611)	Data 0.001 (0.001)	Loss 2.5562 (2.5900)	Prec@1 37.500 (37.033)	Prec@5 68.000 (67.824)
Epoch: [11][8120/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.6389 (2.5900)	Prec@1 37.000 (37.035)	Prec@5 67.500 (67.823)
Epoch: [11][8130/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.3616 (2.5900)	Prec@1 36.000 (37.033)	Prec@5 76.500 (67.824)
Epoch: [11][8140/9018]	Time 0.716 (0.611)	Data 0.001 (0.001)	Loss 2.8626 (2.5900)	Prec@1 33.000 (37.033)	Prec@5 65.000 (67.824)
Epoch: [11][8150/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.7402 (2.5900)	Prec@1 37.000 (37.034)	Prec@5 65.000 (67.825)
Epoch: [11][8160/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.7441 (2.5900)	Prec@1 32.500 (37.033)	Prec@5 64.500 (67.825)
Epoch: [11][8170/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 2.6741 (2.5900)	Prec@1 35.000 (37.033)	Prec@5 68.000 (67.823)
Epoch: [11][8180/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.3875 (2.5900)	Prec@1 41.000 (37.032)	Prec@5 73.000 (67.823)
Epoch: [11][8190/9018]	Time 0.698 (0.611)	Data 0.001 (0.001)	Loss 2.4908 (2.5900)	Prec@1 38.000 (37.032)	Prec@5 66.000 (67.822)
Epoch: [11][8200/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.6167 (2.5900)	Prec@1 35.000 (37.031)	Prec@5 65.000 (67.824)
Epoch: [11][8210/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.6576 (2.5900)	Prec@1 33.000 (37.031)	Prec@5 65.000 (67.825)
Epoch: [11][8220/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.6468 (2.5900)	Prec@1 37.000 (37.032)	Prec@5 65.500 (67.823)
Epoch: [11][8230/9018]	Time 0.599 (0.611)	Data 0.003 (0.001)	Loss 2.8210 (2.5900)	Prec@1 34.000 (37.032)	Prec@5 66.000 (67.823)
Epoch: [11][8240/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.5175 (2.5900)	Prec@1 34.000 (37.031)	Prec@5 70.000 (67.824)
Epoch: [11][8250/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.6600 (2.5900)	Prec@1 34.500 (37.031)	Prec@5 65.500 (67.823)
Epoch: [11][8260/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.4157 (2.5900)	Prec@1 34.000 (37.032)	Prec@5 71.000 (67.824)
Epoch: [11][8270/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 2.3221 (2.5900)	Prec@1 41.500 (37.033)	Prec@5 74.000 (67.824)
Epoch: [11][8280/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 2.5142 (2.5899)	Prec@1 40.500 (37.032)	Prec@5 69.000 (67.823)
Epoch: [11][8290/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.4838 (2.5900)	Prec@1 36.500 (37.031)	Prec@5 73.500 (67.822)
Epoch: [11][8300/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.8171 (2.5900)	Prec@1 31.500 (37.030)	Prec@5 65.500 (67.820)
Epoch: [11][8310/9018]	Time 0.612 (0.611)	Data 0.001 (0.001)	Loss 2.3868 (2.5900)	Prec@1 41.500 (37.033)	Prec@5 69.000 (67.820)
Epoch: [11][8320/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.3569 (2.5900)	Prec@1 39.000 (37.032)	Prec@5 75.000 (67.821)
Epoch: [11][8330/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.5059 (2.5899)	Prec@1 40.500 (37.033)	Prec@5 71.500 (67.823)
Epoch: [11][8340/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.7286 (2.5899)	Prec@1 33.500 (37.034)	Prec@5 70.000 (67.823)
Epoch: [11][8350/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.3062 (2.5899)	Prec@1 42.500 (37.033)	Prec@5 73.500 (67.824)
Epoch: [11][8360/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.5552 (2.5899)	Prec@1 37.000 (37.033)	Prec@5 65.000 (67.824)
Epoch: [11][8370/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.4085 (2.5898)	Prec@1 41.000 (37.032)	Prec@5 74.500 (67.825)
Epoch: [11][8380/9018]	Time 0.630 (0.611)	Data 0.001 (0.001)	Loss 2.3050 (2.5897)	Prec@1 43.500 (37.034)	Prec@5 71.500 (67.826)
Epoch: [11][8390/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.5318 (2.5897)	Prec@1 37.000 (37.034)	Prec@5 71.500 (67.826)
Epoch: [11][8400/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.6091 (2.5897)	Prec@1 35.500 (37.033)	Prec@5 72.000 (67.827)
Epoch: [11][8410/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.5925 (2.5898)	Prec@1 39.000 (37.034)	Prec@5 67.000 (67.825)
Epoch: [11][8420/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.6552 (2.5899)	Prec@1 35.500 (37.031)	Prec@5 65.000 (67.823)
Epoch: [11][8430/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.6349 (2.5899)	Prec@1 36.500 (37.033)	Prec@5 69.000 (67.823)
Epoch: [11][8440/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.5354 (2.5899)	Prec@1 38.000 (37.032)	Prec@5 69.000 (67.823)
Epoch: [11][8450/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.8046 (2.5899)	Prec@1 27.000 (37.031)	Prec@5 59.000 (67.824)
Epoch: [11][8460/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.3918 (2.5898)	Prec@1 40.500 (37.032)	Prec@5 72.000 (67.825)
Epoch: [11][8470/9018]	Time 0.721 (0.611)	Data 0.001 (0.001)	Loss 2.7875 (2.5899)	Prec@1 35.000 (37.031)	Prec@5 63.000 (67.824)
Epoch: [11][8480/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.4106 (2.5900)	Prec@1 40.500 (37.029)	Prec@5 72.000 (67.823)
Epoch: [11][8490/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 2.5428 (2.5900)	Prec@1 39.000 (37.029)	Prec@5 66.000 (67.822)
Epoch: [11][8500/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.5232 (2.5900)	Prec@1 36.000 (37.029)	Prec@5 63.000 (67.822)
Epoch: [11][8510/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.6716 (2.5900)	Prec@1 33.500 (37.030)	Prec@5 62.500 (67.821)
Epoch: [11][8520/9018]	Time 0.717 (0.611)	Data 0.001 (0.001)	Loss 2.4036 (2.5900)	Prec@1 36.500 (37.030)	Prec@5 75.500 (67.822)
Epoch: [11][8530/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 2.4024 (2.5900)	Prec@1 46.000 (37.029)	Prec@5 72.500 (67.822)
Epoch: [11][8540/9018]	Time 0.617 (0.611)	Data 0.001 (0.001)	Loss 2.5270 (2.5901)	Prec@1 40.000 (37.029)	Prec@5 68.500 (67.821)
Epoch: [11][8550/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.6436 (2.5900)	Prec@1 37.500 (37.029)	Prec@5 67.500 (67.822)
Epoch: [11][8560/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.2978 (2.5900)	Prec@1 40.500 (37.029)	Prec@5 73.000 (67.823)
Epoch: [11][8570/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 2.7570 (2.5900)	Prec@1 33.500 (37.027)	Prec@5 65.500 (67.823)
Epoch: [11][8580/9018]	Time 0.624 (0.611)	Data 0.001 (0.001)	Loss 2.9676 (2.5901)	Prec@1 32.000 (37.026)	Prec@5 58.500 (67.822)
Epoch: [11][8590/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.4143 (2.5899)	Prec@1 39.500 (37.028)	Prec@5 71.000 (67.824)
Epoch: [11][8600/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.5754 (2.5900)	Prec@1 38.500 (37.027)	Prec@5 67.000 (67.824)
Epoch: [11][8610/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.6227 (2.5900)	Prec@1 35.000 (37.026)	Prec@5 73.000 (67.825)
Epoch: [11][8620/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.5740 (2.5900)	Prec@1 38.500 (37.025)	Prec@5 68.500 (67.825)
Epoch: [11][8630/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.2877 (2.5899)	Prec@1 45.500 (37.029)	Prec@5 72.000 (67.827)
Epoch: [11][8640/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.8642 (2.5899)	Prec@1 30.500 (37.027)	Prec@5 61.000 (67.826)
Epoch: [11][8650/9018]	Time 0.620 (0.611)	Data 0.001 (0.001)	Loss 2.8023 (2.5898)	Prec@1 33.000 (37.027)	Prec@5 63.500 (67.828)
Epoch: [11][8660/9018]	Time 0.617 (0.611)	Data 0.001 (0.001)	Loss 2.7481 (2.5899)	Prec@1 35.000 (37.028)	Prec@5 63.500 (67.827)
Epoch: [11][8670/9018]	Time 0.617 (0.611)	Data 0.001 (0.001)	Loss 2.6677 (2.5899)	Prec@1 34.500 (37.025)	Prec@5 69.000 (67.826)
Epoch: [11][8680/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.8416 (2.5899)	Prec@1 34.000 (37.026)	Prec@5 64.500 (67.825)
Epoch: [11][8690/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.5902 (2.5899)	Prec@1 37.000 (37.026)	Prec@5 70.500 (67.826)
Epoch: [11][8700/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.6482 (2.5900)	Prec@1 38.500 (37.025)	Prec@5 66.000 (67.824)
Epoch: [11][8710/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.6877 (2.5900)	Prec@1 35.500 (37.024)	Prec@5 63.500 (67.824)
Epoch: [11][8720/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.6641 (2.5901)	Prec@1 35.500 (37.024)	Prec@5 67.000 (67.823)
Epoch: [11][8730/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.1864 (2.5900)	Prec@1 47.500 (37.024)	Prec@5 77.000 (67.824)
Epoch: [11][8740/9018]	Time 0.630 (0.611)	Data 0.001 (0.001)	Loss 2.5803 (2.5899)	Prec@1 37.000 (37.025)	Prec@5 69.000 (67.826)
Epoch: [11][8750/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.8239 (2.5899)	Prec@1 30.000 (37.027)	Prec@5 65.500 (67.827)
Epoch: [11][8760/9018]	Time 0.587 (0.611)	Data 0.001 (0.001)	Loss 2.8068 (2.5900)	Prec@1 32.500 (37.024)	Prec@5 67.000 (67.825)
Epoch: [11][8770/9018]	Time 0.587 (0.611)	Data 0.001 (0.001)	Loss 2.5078 (2.5899)	Prec@1 32.500 (37.025)	Prec@5 66.500 (67.827)
Epoch: [11][8780/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.7516 (2.5899)	Prec@1 31.000 (37.024)	Prec@5 66.500 (67.826)
Epoch: [11][8790/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.8341 (2.5898)	Prec@1 31.000 (37.025)	Prec@5 62.000 (67.828)
Epoch: [11][8800/9018]	Time 0.733 (0.611)	Data 0.001 (0.001)	Loss 2.6276 (2.5899)	Prec@1 37.500 (37.022)	Prec@5 64.000 (67.825)
Epoch: [11][8810/9018]	Time 0.612 (0.611)	Data 0.001 (0.001)	Loss 2.8223 (2.5899)	Prec@1 27.500 (37.022)	Prec@5 65.500 (67.824)
Epoch: [11][8820/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 2.3332 (2.5899)	Prec@1 42.500 (37.024)	Prec@5 71.500 (67.824)
Epoch: [11][8830/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.5579 (2.5898)	Prec@1 39.500 (37.024)	Prec@5 67.500 (67.826)
Epoch: [11][8840/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.5548 (2.5898)	Prec@1 41.000 (37.024)	Prec@5 68.000 (67.825)
Epoch: [11][8850/9018]	Time 0.723 (0.611)	Data 0.001 (0.001)	Loss 2.5938 (2.5898)	Prec@1 37.500 (37.025)	Prec@5 67.500 (67.826)
Epoch: [11][8860/9018]	Time 0.630 (0.611)	Data 0.001 (0.001)	Loss 2.4427 (2.5898)	Prec@1 36.500 (37.026)	Prec@5 69.500 (67.825)
Epoch: [11][8870/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.5959 (2.5898)	Prec@1 35.000 (37.024)	Prec@5 64.500 (67.825)
Epoch: [11][8880/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.7507 (2.5899)	Prec@1 29.500 (37.020)	Prec@5 63.500 (67.823)
Epoch: [11][8890/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.7558 (2.5899)	Prec@1 32.000 (37.021)	Prec@5 65.000 (67.824)
Epoch: [11][8900/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.7283 (2.5899)	Prec@1 33.000 (37.019)	Prec@5 66.500 (67.823)
Epoch: [11][8910/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.3541 (2.5899)	Prec@1 40.500 (37.019)	Prec@5 74.500 (67.825)
Epoch: [11][8920/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.8108 (2.5900)	Prec@1 32.500 (37.017)	Prec@5 65.000 (67.824)
Epoch: [11][8930/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.7698 (2.5900)	Prec@1 34.000 (37.017)	Prec@5 66.000 (67.825)
Epoch: [11][8940/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.5604 (2.5900)	Prec@1 38.500 (37.016)	Prec@5 67.000 (67.823)
Epoch: [11][8950/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.7697 (2.5900)	Prec@1 34.500 (37.017)	Prec@5 61.500 (67.824)
Epoch: [11][8960/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.4083 (2.5900)	Prec@1 40.000 (37.014)	Prec@5 73.000 (67.823)
Epoch: [11][8970/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.7800 (2.5901)	Prec@1 34.000 (37.013)	Prec@5 66.000 (67.821)
Epoch: [11][8980/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.6654 (2.5900)	Prec@1 35.500 (37.014)	Prec@5 65.500 (67.822)
Epoch: [11][8990/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.3961 (2.5900)	Prec@1 37.000 (37.013)	Prec@5 68.500 (67.823)
Epoch: [11][9000/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.6793 (2.5899)	Prec@1 35.500 (37.015)	Prec@5 66.500 (67.825)
Epoch: [11][9010/9018]	Time 0.592 (0.611)	Data 0.000 (0.001)	Loss 2.6066 (2.5900)	Prec@1 39.000 (37.015)	Prec@5 68.500 (67.823)
Test: [0/183]	Time 2.176 (2.176)	Loss 2.6886 (2.6886)	Prec@1 34.500 (34.500)	Prec@5 70.500 (70.500)
Test: [10/183]	Time 0.220 (0.369)	Loss 2.0926 (2.2110)	Prec@1 44.500 (45.545)	Prec@5 81.000 (75.273)
Test: [20/183]	Time 0.182 (0.293)	Loss 2.8324 (2.2090)	Prec@1 28.000 (44.429)	Prec@5 66.000 (75.214)
Test: [30/183]	Time 0.247 (0.262)	Loss 2.7676 (2.2500)	Prec@1 22.000 (42.403)	Prec@5 67.000 (74.952)
Test: [40/183]	Time 0.179 (0.244)	Loss 3.1228 (2.2652)	Prec@1 20.500 (42.427)	Prec@5 57.500 (74.098)
Test: [50/183]	Time 0.187 (0.234)	Loss 2.2012 (2.2485)	Prec@1 40.000 (43.127)	Prec@5 77.500 (74.549)
Test: [60/183]	Time 0.183 (0.226)	Loss 2.7290 (2.3085)	Prec@1 33.500 (41.541)	Prec@5 64.500 (73.500)
Test: [70/183]	Time 0.179 (0.223)	Loss 2.0599 (2.2890)	Prec@1 46.000 (41.965)	Prec@5 82.000 (74.085)
Test: [80/183]	Time 0.277 (0.219)	Loss 1.9526 (2.2858)	Prec@1 46.000 (41.580)	Prec@5 84.500 (74.284)
Test: [90/183]	Time 0.207 (0.216)	Loss 2.6658 (2.2868)	Prec@1 31.500 (41.571)	Prec@5 72.000 (74.346)
Test: [100/183]	Time 0.179 (0.214)	Loss 1.2367 (2.2828)	Prec@1 64.500 (41.431)	Prec@5 89.000 (74.545)
Test: [110/183]	Time 0.200 (0.212)	Loss 1.1587 (2.2678)	Prec@1 70.000 (41.779)	Prec@5 94.000 (74.766)
Test: [120/183]	Time 0.191 (0.210)	Loss 2.9073 (2.2676)	Prec@1 30.500 (41.632)	Prec@5 53.000 (74.785)
Test: [130/183]	Time 0.187 (0.209)	Loss 3.6867 (2.2666)	Prec@1 8.000 (41.534)	Prec@5 52.000 (74.863)
Test: [140/183]	Time 0.191 (0.208)	Loss 1.9195 (2.2649)	Prec@1 53.000 (41.791)	Prec@5 78.500 (74.869)
Test: [150/183]	Time 0.200 (0.208)	Loss 0.8515 (2.2564)	Prec@1 80.000 (42.119)	Prec@5 94.500 (74.911)
Test: [160/183]	Time 0.191 (0.207)	Loss 2.5485 (2.2531)	Prec@1 41.000 (42.258)	Prec@5 60.000 (74.972)
Test: [170/183]	Time 0.188 (0.206)	Loss 2.7107 (2.2664)	Prec@1 20.500 (42.047)	Prec@5 73.000 (74.655)
Test: [180/183]	Time 0.184 (0.205)	Loss 2.5642 (2.2778)	Prec@1 37.500 (41.876)	Prec@5 69.500 (74.401)
 * Prec@1 41.940 Prec@5 74.452
Epoch: [12][0/9018]	Time 2.890 (2.890)	Data 2.260 (2.260)	Loss 2.6183 (2.6183)	Prec@1 36.000 (36.000)	Prec@5 72.000 (72.000)
Epoch: [12][10/9018]	Time 0.596 (0.805)	Data 0.001 (0.206)	Loss 2.6910 (2.5605)	Prec@1 38.500 (37.364)	Prec@5 66.000 (69.682)
Epoch: [12][20/9018]	Time 0.593 (0.712)	Data 0.001 (0.108)	Loss 2.4921 (2.5812)	Prec@1 37.000 (36.810)	Prec@5 72.000 (68.714)
Epoch: [12][30/9018]	Time 0.599 (0.677)	Data 0.001 (0.074)	Loss 2.5621 (2.5602)	Prec@1 36.500 (37.113)	Prec@5 66.500 (68.613)
Epoch: [12][40/9018]	Time 0.599 (0.657)	Data 0.001 (0.056)	Loss 2.3495 (2.5492)	Prec@1 44.000 (37.293)	Prec@5 73.500 (68.671)
Epoch: [12][50/9018]	Time 0.600 (0.647)	Data 0.001 (0.045)	Loss 2.6911 (2.5548)	Prec@1 33.000 (37.127)	Prec@5 68.500 (68.725)
Epoch: [12][60/9018]	Time 0.599 (0.639)	Data 0.001 (0.038)	Loss 2.6222 (2.5592)	Prec@1 38.500 (37.123)	Prec@5 63.500 (68.607)
Epoch: [12][70/9018]	Time 0.601 (0.635)	Data 0.001 (0.033)	Loss 2.8246 (2.5680)	Prec@1 35.000 (37.218)	Prec@5 62.500 (68.303)
Epoch: [12][80/9018]	Time 0.593 (0.632)	Data 0.001 (0.029)	Loss 2.6741 (2.5746)	Prec@1 32.500 (37.105)	Prec@5 70.000 (68.247)
Epoch: [12][90/9018]	Time 0.621 (0.630)	Data 0.001 (0.026)	Loss 2.4711 (2.5673)	Prec@1 38.000 (37.297)	Prec@5 69.500 (68.291)
Epoch: [12][100/9018]	Time 0.605 (0.628)	Data 0.001 (0.023)	Loss 2.5965 (2.5601)	Prec@1 39.000 (37.564)	Prec@5 68.000 (68.391)
Epoch: [12][110/9018]	Time 0.593 (0.625)	Data 0.001 (0.021)	Loss 2.6636 (2.5649)	Prec@1 33.500 (37.518)	Prec@5 67.500 (68.288)
Epoch: [12][120/9018]	Time 0.598 (0.624)	Data 0.001 (0.019)	Loss 2.3222 (2.5646)	Prec@1 43.500 (37.450)	Prec@5 71.500 (68.248)
Epoch: [12][130/9018]	Time 0.597 (0.624)	Data 0.001 (0.018)	Loss 2.6413 (2.5638)	Prec@1 35.000 (37.538)	Prec@5 67.500 (68.248)
Epoch: [12][140/9018]	Time 0.602 (0.622)	Data 0.001 (0.017)	Loss 2.7032 (2.5627)	Prec@1 35.000 (37.496)	Prec@5 63.000 (68.291)
Epoch: [12][150/9018]	Time 0.592 (0.621)	Data 0.001 (0.016)	Loss 2.7424 (2.5623)	Prec@1 34.000 (37.626)	Prec@5 63.000 (68.305)
Epoch: [12][160/9018]	Time 0.601 (0.620)	Data 0.001 (0.015)	Loss 2.7114 (2.5636)	Prec@1 33.000 (37.525)	Prec@5 64.500 (68.326)
Epoch: [12][170/9018]	Time 0.602 (0.620)	Data 0.001 (0.014)	Loss 2.6938 (2.5639)	Prec@1 36.500 (37.585)	Prec@5 67.500 (68.354)
Epoch: [12][180/9018]	Time 0.593 (0.619)	Data 0.001 (0.013)	Loss 2.5010 (2.5662)	Prec@1 38.000 (37.539)	Prec@5 68.500 (68.307)
Epoch: [12][190/9018]	Time 0.625 (0.618)	Data 0.001 (0.013)	Loss 2.3603 (2.5638)	Prec@1 42.500 (37.547)	Prec@5 74.000 (68.356)
Epoch: [12][200/9018]	Time 0.600 (0.618)	Data 0.001 (0.012)	Loss 2.4709 (2.5674)	Prec@1 39.500 (37.415)	Prec@5 70.500 (68.286)
Epoch: [12][210/9018]	Time 0.707 (0.618)	Data 0.001 (0.011)	Loss 2.6619 (2.5673)	Prec@1 35.500 (37.374)	Prec@5 68.000 (68.251)
Epoch: [12][220/9018]	Time 0.622 (0.618)	Data 0.001 (0.011)	Loss 2.5798 (2.5718)	Prec@1 37.500 (37.278)	Prec@5 64.500 (68.163)
Epoch: [12][230/9018]	Time 0.591 (0.617)	Data 0.001 (0.011)	Loss 2.6285 (2.5708)	Prec@1 41.000 (37.310)	Prec@5 67.000 (68.184)
Epoch: [12][240/9018]	Time 0.601 (0.617)	Data 0.001 (0.010)	Loss 2.6302 (2.5703)	Prec@1 37.500 (37.301)	Prec@5 64.000 (68.183)
Epoch: [12][250/9018]	Time 0.593 (0.617)	Data 0.001 (0.010)	Loss 2.5718 (2.5703)	Prec@1 40.500 (37.283)	Prec@5 65.000 (68.203)
Epoch: [12][260/9018]	Time 0.707 (0.616)	Data 0.001 (0.009)	Loss 2.6899 (2.5720)	Prec@1 29.000 (37.232)	Prec@5 64.500 (68.190)
Epoch: [12][270/9018]	Time 0.605 (0.616)	Data 0.001 (0.009)	Loss 2.5457 (2.5718)	Prec@1 33.500 (37.205)	Prec@5 69.000 (68.170)
Epoch: [12][280/9018]	Time 0.624 (0.616)	Data 0.001 (0.009)	Loss 2.5311 (2.5712)	Prec@1 42.000 (37.251)	Prec@5 67.000 (68.169)
Epoch: [12][290/9018]	Time 0.601 (0.615)	Data 0.001 (0.009)	Loss 2.5335 (2.5701)	Prec@1 39.000 (37.280)	Prec@5 69.000 (68.198)
Epoch: [12][300/9018]	Time 0.600 (0.615)	Data 0.001 (0.008)	Loss 2.6875 (2.5703)	Prec@1 33.500 (37.304)	Prec@5 65.500 (68.151)
Epoch: [12][310/9018]	Time 0.592 (0.615)	Data 0.001 (0.008)	Loss 2.6761 (2.5714)	Prec@1 38.500 (37.310)	Prec@5 69.500 (68.146)
Epoch: [12][320/9018]	Time 0.600 (0.615)	Data 0.001 (0.008)	Loss 2.7436 (2.5735)	Prec@1 36.500 (37.262)	Prec@5 66.000 (68.111)
Epoch: [12][330/9018]	Time 0.599 (0.615)	Data 0.001 (0.008)	Loss 2.4360 (2.5750)	Prec@1 34.500 (37.243)	Prec@5 72.500 (68.092)
Epoch: [12][340/9018]	Time 0.616 (0.614)	Data 0.001 (0.007)	Loss 2.5634 (2.5768)	Prec@1 40.000 (37.211)	Prec@5 71.500 (68.095)
Epoch: [12][350/9018]	Time 0.600 (0.614)	Data 0.001 (0.007)	Loss 2.7294 (2.5749)	Prec@1 35.000 (37.234)	Prec@5 64.000 (68.107)
Epoch: [12][360/9018]	Time 0.605 (0.614)	Data 0.001 (0.007)	Loss 2.3923 (2.5746)	Prec@1 43.000 (37.215)	Prec@5 75.500 (68.116)
Epoch: [12][370/9018]	Time 0.602 (0.614)	Data 0.001 (0.007)	Loss 2.6440 (2.5759)	Prec@1 39.000 (37.218)	Prec@5 66.000 (68.078)
Epoch: [12][380/9018]	Time 0.594 (0.614)	Data 0.001 (0.007)	Loss 2.4791 (2.5760)	Prec@1 38.000 (37.206)	Prec@5 69.000 (68.052)
Epoch: [12][390/9018]	Time 0.601 (0.614)	Data 0.001 (0.007)	Loss 2.6154 (2.5768)	Prec@1 36.500 (37.201)	Prec@5 63.000 (68.017)
Epoch: [12][400/9018]	Time 0.600 (0.614)	Data 0.001 (0.006)	Loss 2.7181 (2.5762)	Prec@1 36.500 (37.218)	Prec@5 63.000 (68.009)
Epoch: [12][410/9018]	Time 0.598 (0.613)	Data 0.001 (0.006)	Loss 2.6160 (2.5754)	Prec@1 35.500 (37.219)	Prec@5 67.000 (68.026)
Epoch: [12][420/9018]	Time 0.603 (0.613)	Data 0.001 (0.006)	Loss 2.7067 (2.5754)	Prec@1 39.500 (37.229)	Prec@5 66.000 (68.029)
Epoch: [12][430/9018]	Time 0.629 (0.613)	Data 0.001 (0.006)	Loss 2.6539 (2.5755)	Prec@1 36.500 (37.244)	Prec@5 65.000 (68.024)
Epoch: [12][440/9018]	Time 0.600 (0.613)	Data 0.001 (0.006)	Loss 2.7634 (2.5770)	Prec@1 34.500 (37.214)	Prec@5 66.500 (67.992)
Epoch: [12][450/9018]	Time 0.595 (0.613)	Data 0.001 (0.006)	Loss 2.4389 (2.5765)	Prec@1 39.500 (37.225)	Prec@5 69.000 (67.999)
Epoch: [12][460/9018]	Time 0.601 (0.613)	Data 0.001 (0.006)	Loss 2.6872 (2.5766)	Prec@1 35.000 (37.222)	Prec@5 66.000 (67.982)
Epoch: [12][470/9018]	Time 0.596 (0.613)	Data 0.001 (0.006)	Loss 2.5825 (2.5751)	Prec@1 40.000 (37.257)	Prec@5 68.500 (68.033)
Epoch: [12][480/9018]	Time 0.608 (0.613)	Data 0.001 (0.005)	Loss 2.8117 (2.5755)	Prec@1 32.000 (37.225)	Prec@5 69.500 (68.052)
Epoch: [12][490/9018]	Time 0.596 (0.612)	Data 0.001 (0.005)	Loss 2.6431 (2.5748)	Prec@1 40.000 (37.235)	Prec@5 68.500 (68.066)
Epoch: [12][500/9018]	Time 0.600 (0.612)	Data 0.001 (0.005)	Loss 2.3887 (2.5735)	Prec@1 41.000 (37.238)	Prec@5 68.000 (68.083)
Epoch: [12][510/9018]	Time 0.605 (0.612)	Data 0.001 (0.005)	Loss 2.6319 (2.5735)	Prec@1 35.000 (37.240)	Prec@5 65.500 (68.043)
Epoch: [12][520/9018]	Time 0.617 (0.612)	Data 0.001 (0.005)	Loss 2.4594 (2.5742)	Prec@1 38.500 (37.221)	Prec@5 68.000 (68.028)
Epoch: [12][530/9018]	Time 0.594 (0.612)	Data 0.001 (0.005)	Loss 2.5965 (2.5742)	Prec@1 41.500 (37.234)	Prec@5 67.500 (68.029)
Epoch: [12][540/9018]	Time 0.715 (0.612)	Data 0.001 (0.005)	Loss 2.5219 (2.5731)	Prec@1 35.000 (37.253)	Prec@5 69.000 (68.037)
Epoch: [12][550/9018]	Time 0.614 (0.612)	Data 0.001 (0.005)	Loss 2.6862 (2.5733)	Prec@1 35.000 (37.256)	Prec@5 66.000 (68.030)
Epoch: [12][560/9018]	Time 0.597 (0.612)	Data 0.001 (0.005)	Loss 2.7481 (2.5735)	Prec@1 33.000 (37.243)	Prec@5 65.000 (68.047)
Epoch: [12][570/9018]	Time 0.599 (0.612)	Data 0.001 (0.005)	Loss 2.3887 (2.5745)	Prec@1 40.500 (37.229)	Prec@5 73.000 (68.032)
Epoch: [12][580/9018]	Time 0.599 (0.612)	Data 0.001 (0.005)	Loss 2.5236 (2.5745)	Prec@1 38.500 (37.244)	Prec@5 65.000 (68.018)
Epoch: [12][590/9018]	Time 0.722 (0.612)	Data 0.001 (0.005)	Loss 2.5413 (2.5738)	Prec@1 39.000 (37.241)	Prec@5 66.500 (68.025)
Epoch: [12][600/9018]	Time 0.602 (0.612)	Data 0.001 (0.005)	Loss 2.7082 (2.5741)	Prec@1 35.000 (37.226)	Prec@5 66.000 (68.017)
Epoch: [12][610/9018]	Time 0.594 (0.612)	Data 0.001 (0.004)	Loss 2.6363 (2.5735)	Prec@1 37.000 (37.241)	Prec@5 67.500 (68.048)
Epoch: [12][620/9018]	Time 0.598 (0.612)	Data 0.001 (0.004)	Loss 2.7122 (2.5726)	Prec@1 31.500 (37.252)	Prec@5 67.000 (68.071)
Epoch: [12][630/9018]	Time 0.602 (0.612)	Data 0.001 (0.004)	Loss 2.6635 (2.5733)	Prec@1 35.500 (37.244)	Prec@5 67.000 (68.063)
Epoch: [12][640/9018]	Time 0.629 (0.612)	Data 0.001 (0.004)	Loss 2.6363 (2.5744)	Prec@1 35.000 (37.235)	Prec@5 66.500 (68.043)
Epoch: [12][650/9018]	Time 0.591 (0.612)	Data 0.001 (0.004)	Loss 2.4395 (2.5747)	Prec@1 40.500 (37.215)	Prec@5 71.000 (68.045)
Epoch: [12][660/9018]	Time 0.598 (0.612)	Data 0.001 (0.004)	Loss 2.5335 (2.5741)	Prec@1 40.000 (37.231)	Prec@5 70.000 (68.069)
Epoch: [12][670/9018]	Time 0.608 (0.612)	Data 0.001 (0.004)	Loss 2.6632 (2.5737)	Prec@1 34.500 (37.241)	Prec@5 65.000 (68.078)
Epoch: [12][680/9018]	Time 0.599 (0.612)	Data 0.001 (0.004)	Loss 2.8334 (2.5730)	Prec@1 32.500 (37.257)	Prec@5 66.500 (68.093)
Epoch: [12][690/9018]	Time 0.599 (0.612)	Data 0.001 (0.004)	Loss 2.4400 (2.5734)	Prec@1 40.000 (37.253)	Prec@5 75.500 (68.097)
Epoch: [12][700/9018]	Time 0.612 (0.611)	Data 0.001 (0.004)	Loss 2.6545 (2.5735)	Prec@1 33.500 (37.250)	Prec@5 67.000 (68.106)
Epoch: [12][710/9018]	Time 0.615 (0.611)	Data 0.001 (0.004)	Loss 2.7239 (2.5732)	Prec@1 35.000 (37.264)	Prec@5 65.000 (68.117)
Epoch: [12][720/9018]	Time 0.596 (0.611)	Data 0.001 (0.004)	Loss 2.8099 (2.5747)	Prec@1 35.000 (37.231)	Prec@5 63.500 (68.101)
Epoch: [12][730/9018]	Time 0.592 (0.611)	Data 0.001 (0.004)	Loss 2.4978 (2.5751)	Prec@1 39.500 (37.215)	Prec@5 70.000 (68.094)
Epoch: [12][740/9018]	Time 0.599 (0.611)	Data 0.001 (0.004)	Loss 2.5822 (2.5752)	Prec@1 41.500 (37.215)	Prec@5 67.000 (68.090)
Epoch: [12][750/9018]	Time 0.594 (0.611)	Data 0.001 (0.004)	Loss 2.5907 (2.5752)	Prec@1 33.500 (37.206)	Prec@5 67.500 (68.098)
Epoch: [12][760/9018]	Time 0.595 (0.611)	Data 0.001 (0.004)	Loss 2.4948 (2.5758)	Prec@1 37.000 (37.198)	Prec@5 72.000 (68.088)
Epoch: [12][770/9018]	Time 0.622 (0.611)	Data 0.001 (0.004)	Loss 2.4378 (2.5759)	Prec@1 43.500 (37.230)	Prec@5 67.000 (68.071)
Epoch: [12][780/9018]	Time 0.592 (0.611)	Data 0.001 (0.004)	Loss 2.4836 (2.5769)	Prec@1 36.000 (37.229)	Prec@5 65.500 (68.051)
Epoch: [12][790/9018]	Time 0.628 (0.611)	Data 0.001 (0.004)	Loss 2.7456 (2.5765)	Prec@1 33.500 (37.231)	Prec@5 64.000 (68.069)
Epoch: [12][800/9018]	Time 0.606 (0.611)	Data 0.001 (0.004)	Loss 2.4930 (2.5765)	Prec@1 39.500 (37.235)	Prec@5 70.000 (68.074)
Epoch: [12][810/9018]	Time 0.595 (0.611)	Data 0.001 (0.004)	Loss 2.3302 (2.5765)	Prec@1 42.000 (37.240)	Prec@5 69.500 (68.052)
Epoch: [12][820/9018]	Time 0.618 (0.611)	Data 0.001 (0.004)	Loss 2.8755 (2.5775)	Prec@1 33.000 (37.211)	Prec@5 62.000 (68.029)
Epoch: [12][830/9018]	Time 0.616 (0.611)	Data 0.001 (0.003)	Loss 2.6972 (2.5776)	Prec@1 33.000 (37.200)	Prec@5 66.500 (68.017)
Epoch: [12][840/9018]	Time 0.598 (0.611)	Data 0.001 (0.003)	Loss 2.3209 (2.5761)	Prec@1 40.000 (37.224)	Prec@5 73.500 (68.043)
Epoch: [12][850/9018]	Time 0.596 (0.611)	Data 0.001 (0.003)	Loss 2.5473 (2.5760)	Prec@1 41.500 (37.237)	Prec@5 71.000 (68.049)
Epoch: [12][860/9018]	Time 0.593 (0.611)	Data 0.001 (0.003)	Loss 2.7499 (2.5757)	Prec@1 34.500 (37.256)	Prec@5 64.500 (68.057)
Epoch: [12][870/9018]	Time 0.717 (0.611)	Data 0.001 (0.003)	Loss 2.8927 (2.5769)	Prec@1 33.500 (37.229)	Prec@5 58.500 (68.032)
Epoch: [12][880/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 2.3742 (2.5766)	Prec@1 44.500 (37.247)	Prec@5 70.500 (68.031)
Epoch: [12][890/9018]	Time 0.593 (0.611)	Data 0.001 (0.003)	Loss 2.9240 (2.5772)	Prec@1 33.500 (37.238)	Prec@5 60.000 (68.017)
Epoch: [12][900/9018]	Time 0.618 (0.611)	Data 0.001 (0.003)	Loss 2.5351 (2.5778)	Prec@1 38.000 (37.242)	Prec@5 70.500 (68.009)
Epoch: [12][910/9018]	Time 0.594 (0.611)	Data 0.001 (0.003)	Loss 2.8226 (2.5774)	Prec@1 32.000 (37.248)	Prec@5 63.000 (68.009)
Epoch: [12][920/9018]	Time 0.713 (0.611)	Data 0.001 (0.003)	Loss 2.6380 (2.5772)	Prec@1 35.500 (37.251)	Prec@5 68.000 (68.008)
Epoch: [12][930/9018]	Time 0.588 (0.611)	Data 0.001 (0.003)	Loss 2.1981 (2.5766)	Prec@1 39.500 (37.251)	Prec@5 77.000 (68.029)
Epoch: [12][940/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 2.5596 (2.5772)	Prec@1 37.000 (37.243)	Prec@5 70.000 (68.028)
Epoch: [12][950/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 2.2917 (2.5760)	Prec@1 40.500 (37.257)	Prec@5 76.000 (68.059)
Epoch: [12][960/9018]	Time 0.596 (0.611)	Data 0.001 (0.003)	Loss 2.4053 (2.5757)	Prec@1 38.500 (37.266)	Prec@5 72.000 (68.069)
Epoch: [12][970/9018]	Time 0.603 (0.611)	Data 0.001 (0.003)	Loss 2.5883 (2.5752)	Prec@1 40.500 (37.272)	Prec@5 68.500 (68.080)
Epoch: [12][980/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 2.4014 (2.5753)	Prec@1 41.500 (37.274)	Prec@5 70.500 (68.078)
Epoch: [12][990/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 2.5826 (2.5755)	Prec@1 36.000 (37.276)	Prec@5 66.500 (68.079)
Epoch: [12][1000/9018]	Time 0.603 (0.611)	Data 0.001 (0.003)	Loss 2.5310 (2.5753)	Prec@1 42.500 (37.287)	Prec@5 66.500 (68.089)
Epoch: [12][1010/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 2.6217 (2.5756)	Prec@1 38.500 (37.279)	Prec@5 67.000 (68.084)
Epoch: [12][1020/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 2.7474 (2.5757)	Prec@1 34.500 (37.282)	Prec@5 67.500 (68.082)
Epoch: [12][1030/9018]	Time 0.597 (0.611)	Data 0.001 (0.003)	Loss 2.6046 (2.5755)	Prec@1 38.000 (37.286)	Prec@5 68.000 (68.084)
Epoch: [12][1040/9018]	Time 0.603 (0.611)	Data 0.001 (0.003)	Loss 2.7169 (2.5762)	Prec@1 31.000 (37.271)	Prec@5 66.500 (68.062)
Epoch: [12][1050/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 2.5275 (2.5767)	Prec@1 36.500 (37.264)	Prec@5 70.000 (68.047)
Epoch: [12][1060/9018]	Time 0.603 (0.611)	Data 0.001 (0.003)	Loss 2.6301 (2.5765)	Prec@1 33.000 (37.256)	Prec@5 69.000 (68.053)
Epoch: [12][1070/9018]	Time 0.618 (0.611)	Data 0.001 (0.003)	Loss 2.3437 (2.5760)	Prec@1 41.500 (37.269)	Prec@5 71.500 (68.060)
Epoch: [12][1080/9018]	Time 0.603 (0.611)	Data 0.001 (0.003)	Loss 2.5795 (2.5759)	Prec@1 39.500 (37.267)	Prec@5 71.000 (68.068)
Epoch: [12][1090/9018]	Time 0.594 (0.611)	Data 0.001 (0.003)	Loss 2.3161 (2.5763)	Prec@1 38.500 (37.255)	Prec@5 73.500 (68.065)
Epoch: [12][1100/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 2.4141 (2.5758)	Prec@1 39.000 (37.263)	Prec@5 70.000 (68.080)
Epoch: [12][1110/9018]	Time 0.621 (0.611)	Data 0.001 (0.003)	Loss 2.7437 (2.5756)	Prec@1 32.000 (37.255)	Prec@5 63.000 (68.085)
Epoch: [12][1120/9018]	Time 0.590 (0.611)	Data 0.001 (0.003)	Loss 2.7089 (2.5758)	Prec@1 36.000 (37.244)	Prec@5 68.000 (68.075)
Epoch: [12][1130/9018]	Time 0.595 (0.611)	Data 0.001 (0.003)	Loss 2.6413 (2.5757)	Prec@1 39.000 (37.238)	Prec@5 70.500 (68.080)
Epoch: [12][1140/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 2.7094 (2.5764)	Prec@1 33.500 (37.222)	Prec@5 65.000 (68.065)
Epoch: [12][1150/9018]	Time 0.606 (0.611)	Data 0.001 (0.003)	Loss 2.6994 (2.5767)	Prec@1 33.500 (37.212)	Prec@5 67.000 (68.077)
Epoch: [12][1160/9018]	Time 0.605 (0.611)	Data 0.001 (0.003)	Loss 2.4991 (2.5777)	Prec@1 39.500 (37.195)	Prec@5 66.500 (68.049)
Epoch: [12][1170/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 2.6918 (2.5777)	Prec@1 39.000 (37.193)	Prec@5 67.000 (68.045)
Epoch: [12][1180/9018]	Time 0.609 (0.611)	Data 0.001 (0.003)	Loss 2.7048 (2.5779)	Prec@1 35.500 (37.189)	Prec@5 65.000 (68.044)
Epoch: [12][1190/9018]	Time 0.613 (0.611)	Data 0.001 (0.003)	Loss 2.6835 (2.5778)	Prec@1 33.000 (37.181)	Prec@5 68.000 (68.044)
Epoch: [12][1200/9018]	Time 0.714 (0.611)	Data 0.001 (0.003)	Loss 2.3424 (2.5780)	Prec@1 44.000 (37.175)	Prec@5 73.500 (68.041)
Epoch: [12][1210/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 2.6448 (2.5782)	Prec@1 34.500 (37.174)	Prec@5 67.000 (68.042)
Epoch: [12][1220/9018]	Time 0.593 (0.611)	Data 0.001 (0.003)	Loss 2.4948 (2.5781)	Prec@1 41.000 (37.172)	Prec@5 72.500 (68.043)
Epoch: [12][1230/9018]	Time 0.599 (0.610)	Data 0.001 (0.003)	Loss 2.4718 (2.5778)	Prec@1 39.000 (37.176)	Prec@5 69.500 (68.050)
Epoch: [12][1240/9018]	Time 0.594 (0.610)	Data 0.001 (0.003)	Loss 2.8678 (2.5778)	Prec@1 32.000 (37.178)	Prec@5 60.000 (68.049)
Epoch: [12][1250/9018]	Time 0.711 (0.610)	Data 0.001 (0.003)	Loss 2.4833 (2.5773)	Prec@1 42.500 (37.193)	Prec@5 69.000 (68.054)
Epoch: [12][1260/9018]	Time 0.623 (0.610)	Data 0.001 (0.003)	Loss 2.7117 (2.5778)	Prec@1 35.000 (37.186)	Prec@5 65.500 (68.049)
Epoch: [12][1270/9018]	Time 0.597 (0.610)	Data 0.001 (0.003)	Loss 2.7901 (2.5776)	Prec@1 29.000 (37.199)	Prec@5 69.000 (68.051)
Epoch: [12][1280/9018]	Time 0.600 (0.610)	Data 0.001 (0.003)	Loss 2.7171 (2.5774)	Prec@1 36.500 (37.200)	Prec@5 67.000 (68.055)
Epoch: [12][1290/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 2.6201 (2.5777)	Prec@1 37.000 (37.187)	Prec@5 65.000 (68.046)
Epoch: [12][1300/9018]	Time 0.592 (0.611)	Data 0.001 (0.003)	Loss 2.4973 (2.5776)	Prec@1 40.000 (37.193)	Prec@5 72.500 (68.049)
Epoch: [12][1310/9018]	Time 0.587 (0.610)	Data 0.001 (0.002)	Loss 2.4538 (2.5771)	Prec@1 39.500 (37.201)	Prec@5 70.500 (68.056)
Epoch: [12][1320/9018]	Time 0.593 (0.610)	Data 0.001 (0.002)	Loss 2.4659 (2.5774)	Prec@1 38.500 (37.188)	Prec@5 69.000 (68.040)
Epoch: [12][1330/9018]	Time 0.592 (0.610)	Data 0.001 (0.002)	Loss 2.6386 (2.5777)	Prec@1 34.000 (37.184)	Prec@5 62.000 (68.029)
Epoch: [12][1340/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.6359 (2.5776)	Prec@1 35.000 (37.191)	Prec@5 62.500 (68.031)
Epoch: [12][1350/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.8076 (2.5783)	Prec@1 29.000 (37.175)	Prec@5 64.000 (68.006)
Epoch: [12][1360/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 2.5595 (2.5783)	Prec@1 38.500 (37.180)	Prec@5 67.000 (68.006)
Epoch: [12][1370/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 2.3136 (2.5778)	Prec@1 43.500 (37.192)	Prec@5 73.000 (68.013)
Epoch: [12][1380/9018]	Time 0.629 (0.610)	Data 0.001 (0.002)	Loss 2.5418 (2.5779)	Prec@1 42.000 (37.194)	Prec@5 71.500 (68.015)
Epoch: [12][1390/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 2.8424 (2.5778)	Prec@1 31.000 (37.203)	Prec@5 60.500 (68.016)
Epoch: [12][1400/9018]	Time 0.613 (0.611)	Data 0.001 (0.002)	Loss 2.5438 (2.5775)	Prec@1 35.500 (37.211)	Prec@5 67.000 (68.024)
Epoch: [12][1410/9018]	Time 0.609 (0.610)	Data 0.001 (0.002)	Loss 2.5633 (2.5775)	Prec@1 43.500 (37.222)	Prec@5 69.500 (68.022)
Epoch: [12][1420/9018]	Time 0.623 (0.610)	Data 0.001 (0.002)	Loss 2.6488 (2.5775)	Prec@1 37.000 (37.232)	Prec@5 66.500 (68.021)
Epoch: [12][1430/9018]	Time 0.593 (0.610)	Data 0.001 (0.002)	Loss 2.3763 (2.5766)	Prec@1 38.000 (37.252)	Prec@5 70.000 (68.034)
Epoch: [12][1440/9018]	Time 0.635 (0.610)	Data 0.001 (0.002)	Loss 2.6127 (2.5766)	Prec@1 40.000 (37.249)	Prec@5 68.000 (68.036)
Epoch: [12][1450/9018]	Time 0.594 (0.610)	Data 0.001 (0.002)	Loss 2.3680 (2.5765)	Prec@1 44.000 (37.261)	Prec@5 71.500 (68.033)
Epoch: [12][1460/9018]	Time 0.624 (0.610)	Data 0.001 (0.002)	Loss 2.5557 (2.5770)	Prec@1 39.000 (37.254)	Prec@5 69.000 (68.017)
Epoch: [12][1470/9018]	Time 0.635 (0.610)	Data 0.001 (0.002)	Loss 2.5112 (2.5769)	Prec@1 42.000 (37.248)	Prec@5 65.000 (68.024)
Epoch: [12][1480/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.4654 (2.5770)	Prec@1 39.000 (37.247)	Prec@5 70.500 (68.023)
Epoch: [12][1490/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.6293 (2.5769)	Prec@1 34.500 (37.251)	Prec@5 66.000 (68.020)
Epoch: [12][1500/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.7853 (2.5768)	Prec@1 34.500 (37.250)	Prec@5 67.500 (68.016)
Epoch: [12][1510/9018]	Time 0.593 (0.610)	Data 0.001 (0.002)	Loss 2.6280 (2.5768)	Prec@1 34.000 (37.245)	Prec@5 69.000 (68.019)
Epoch: [12][1520/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5292 (2.5769)	Prec@1 39.000 (37.234)	Prec@5 70.500 (68.021)
Epoch: [12][1530/9018]	Time 0.732 (0.611)	Data 0.001 (0.002)	Loss 2.7480 (2.5766)	Prec@1 36.000 (37.241)	Prec@5 65.000 (68.028)
Epoch: [12][1540/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.6970 (2.5764)	Prec@1 37.500 (37.240)	Prec@5 65.000 (68.033)
Epoch: [12][1550/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.7217 (2.5766)	Prec@1 34.500 (37.240)	Prec@5 67.000 (68.027)
Epoch: [12][1560/9018]	Time 0.612 (0.611)	Data 0.001 (0.002)	Loss 2.4381 (2.5765)	Prec@1 41.000 (37.242)	Prec@5 73.000 (68.029)
Epoch: [12][1570/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.5091 (2.5767)	Prec@1 36.000 (37.237)	Prec@5 72.500 (68.034)
Epoch: [12][1580/9018]	Time 0.724 (0.611)	Data 0.001 (0.002)	Loss 2.5881 (2.5766)	Prec@1 38.000 (37.240)	Prec@5 68.000 (68.032)
Epoch: [12][1590/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.5176 (2.5769)	Prec@1 39.500 (37.232)	Prec@5 68.000 (68.030)
Epoch: [12][1600/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.6651 (2.5769)	Prec@1 36.500 (37.228)	Prec@5 64.000 (68.026)
Epoch: [12][1610/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.4358 (2.5765)	Prec@1 41.500 (37.233)	Prec@5 73.500 (68.036)
Epoch: [12][1620/9018]	Time 0.618 (0.611)	Data 0.001 (0.002)	Loss 2.7663 (2.5769)	Prec@1 37.000 (37.232)	Prec@5 63.000 (68.025)
Epoch: [12][1630/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.7934 (2.5770)	Prec@1 36.000 (37.234)	Prec@5 64.500 (68.030)
Epoch: [12][1640/9018]	Time 0.622 (0.611)	Data 0.001 (0.002)	Loss 2.5776 (2.5770)	Prec@1 36.000 (37.234)	Prec@5 67.500 (68.036)
Epoch: [12][1650/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.4292 (2.5768)	Prec@1 38.000 (37.234)	Prec@5 69.500 (68.039)
Epoch: [12][1660/9018]	Time 0.623 (0.611)	Data 0.003 (0.002)	Loss 2.8531 (2.5774)	Prec@1 31.000 (37.217)	Prec@5 68.000 (68.035)
Epoch: [12][1670/9018]	Time 0.627 (0.611)	Data 0.001 (0.002)	Loss 2.7634 (2.5775)	Prec@1 33.000 (37.205)	Prec@5 63.500 (68.034)
Epoch: [12][1680/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.5886 (2.5775)	Prec@1 39.000 (37.204)	Prec@5 65.500 (68.029)
Epoch: [12][1690/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.4986 (2.5774)	Prec@1 37.000 (37.200)	Prec@5 73.000 (68.036)
Epoch: [12][1700/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.6034 (2.5772)	Prec@1 36.500 (37.201)	Prec@5 69.500 (68.041)
Epoch: [12][1710/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.6721 (2.5773)	Prec@1 35.000 (37.201)	Prec@5 65.000 (68.041)
Epoch: [12][1720/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5790 (2.5774)	Prec@1 37.500 (37.204)	Prec@5 66.000 (68.037)
Epoch: [12][1730/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 2.5929 (2.5774)	Prec@1 35.500 (37.202)	Prec@5 66.500 (68.037)
Epoch: [12][1740/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.7098 (2.5779)	Prec@1 35.000 (37.196)	Prec@5 63.000 (68.025)
Epoch: [12][1750/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.3044 (2.5776)	Prec@1 40.000 (37.205)	Prec@5 74.500 (68.031)
Epoch: [12][1760/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.5387 (2.5771)	Prec@1 34.500 (37.207)	Prec@5 71.000 (68.048)
Epoch: [12][1770/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.5550 (2.5769)	Prec@1 36.500 (37.208)	Prec@5 66.000 (68.053)
Epoch: [12][1780/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 2.5359 (2.5764)	Prec@1 38.000 (37.214)	Prec@5 72.500 (68.068)
Epoch: [12][1790/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.5815 (2.5765)	Prec@1 43.500 (37.216)	Prec@5 64.000 (68.065)
Epoch: [12][1800/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.6712 (2.5769)	Prec@1 36.000 (37.216)	Prec@5 70.000 (68.058)
Epoch: [12][1810/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.6979 (2.5771)	Prec@1 36.500 (37.214)	Prec@5 67.000 (68.049)
Epoch: [12][1820/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 2.5856 (2.5773)	Prec@1 42.000 (37.211)	Prec@5 69.000 (68.050)
Epoch: [12][1830/9018]	Time 0.637 (0.611)	Data 0.001 (0.002)	Loss 2.3890 (2.5773)	Prec@1 39.500 (37.207)	Prec@5 70.000 (68.046)
Epoch: [12][1840/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.6232 (2.5771)	Prec@1 37.500 (37.216)	Prec@5 63.000 (68.037)
Epoch: [12][1850/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.5489 (2.5766)	Prec@1 39.000 (37.230)	Prec@5 68.000 (68.047)
Epoch: [12][1860/9018]	Time 0.724 (0.611)	Data 0.001 (0.002)	Loss 2.6090 (2.5761)	Prec@1 41.000 (37.239)	Prec@5 65.000 (68.057)
Epoch: [12][1870/9018]	Time 0.632 (0.611)	Data 0.001 (0.002)	Loss 2.6715 (2.5758)	Prec@1 35.000 (37.248)	Prec@5 68.000 (68.063)
Epoch: [12][1880/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.8276 (2.5757)	Prec@1 29.000 (37.246)	Prec@5 65.000 (68.063)
Epoch: [12][1890/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.7073 (2.5760)	Prec@1 28.500 (37.238)	Prec@5 70.500 (68.059)
Epoch: [12][1900/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.5976 (2.5763)	Prec@1 37.000 (37.241)	Prec@5 67.500 (68.054)
Epoch: [12][1910/9018]	Time 0.713 (0.611)	Data 0.001 (0.002)	Loss 2.2380 (2.5762)	Prec@1 46.000 (37.242)	Prec@5 76.000 (68.054)
Epoch: [12][1920/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.3905 (2.5762)	Prec@1 43.000 (37.240)	Prec@5 70.500 (68.055)
Epoch: [12][1930/9018]	Time 0.617 (0.611)	Data 0.001 (0.002)	Loss 2.6423 (2.5763)	Prec@1 35.000 (37.240)	Prec@5 67.000 (68.058)
Epoch: [12][1940/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.9233 (2.5765)	Prec@1 32.000 (37.237)	Prec@5 61.500 (68.061)
Epoch: [12][1950/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.5606 (2.5763)	Prec@1 34.500 (37.241)	Prec@5 68.500 (68.064)
Epoch: [12][1960/9018]	Time 0.613 (0.611)	Data 0.001 (0.002)	Loss 2.3710 (2.5763)	Prec@1 39.000 (37.235)	Prec@5 74.000 (68.069)
Epoch: [12][1970/9018]	Time 0.613 (0.611)	Data 0.001 (0.002)	Loss 2.2471 (2.5762)	Prec@1 44.000 (37.242)	Prec@5 77.500 (68.074)
Epoch: [12][1980/9018]	Time 0.617 (0.611)	Data 0.001 (0.002)	Loss 2.3061 (2.5759)	Prec@1 38.500 (37.241)	Prec@5 72.000 (68.078)
Epoch: [12][1990/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.8173 (2.5761)	Prec@1 34.000 (37.239)	Prec@5 61.500 (68.072)
Epoch: [12][2000/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.4991 (2.5761)	Prec@1 39.500 (37.239)	Prec@5 71.000 (68.067)
Epoch: [12][2010/9018]	Time 0.632 (0.612)	Data 0.001 (0.002)	Loss 2.4659 (2.5761)	Prec@1 38.500 (37.234)	Prec@5 70.000 (68.070)
Epoch: [12][2020/9018]	Time 0.616 (0.611)	Data 0.001 (0.002)	Loss 2.7069 (2.5757)	Prec@1 36.000 (37.244)	Prec@5 67.000 (68.083)
Epoch: [12][2030/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.6499 (2.5756)	Prec@1 37.000 (37.250)	Prec@5 63.000 (68.078)
Epoch: [12][2040/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.5752 (2.5755)	Prec@1 36.000 (37.250)	Prec@5 68.000 (68.085)
Epoch: [12][2050/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.5237 (2.5754)	Prec@1 40.500 (37.258)	Prec@5 70.000 (68.083)
Epoch: [12][2060/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.5023 (2.5750)	Prec@1 41.000 (37.262)	Prec@5 70.500 (68.090)
Epoch: [12][2070/9018]	Time 0.627 (0.611)	Data 0.001 (0.002)	Loss 2.9673 (2.5753)	Prec@1 33.000 (37.261)	Prec@5 62.000 (68.082)
Epoch: [12][2080/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 2.5984 (2.5753)	Prec@1 38.000 (37.260)	Prec@5 67.000 (68.085)
Epoch: [12][2090/9018]	Time 0.628 (0.611)	Data 0.001 (0.002)	Loss 2.5803 (2.5752)	Prec@1 40.500 (37.265)	Prec@5 67.000 (68.091)
Epoch: [12][2100/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5003 (2.5751)	Prec@1 40.500 (37.269)	Prec@5 70.500 (68.089)
Epoch: [12][2110/9018]	Time 0.651 (0.612)	Data 0.001 (0.002)	Loss 2.6428 (2.5753)	Prec@1 38.500 (37.266)	Prec@5 68.500 (68.088)
Epoch: [12][2120/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.4570 (2.5755)	Prec@1 40.000 (37.260)	Prec@5 66.500 (68.090)
Epoch: [12][2130/9018]	Time 0.589 (0.612)	Data 0.001 (0.002)	Loss 2.6073 (2.5759)	Prec@1 38.500 (37.252)	Prec@5 65.000 (68.085)
Epoch: [12][2140/9018]	Time 0.593 (0.612)	Data 0.001 (0.002)	Loss 2.4018 (2.5762)	Prec@1 40.000 (37.248)	Prec@5 70.500 (68.079)
Epoch: [12][2150/9018]	Time 0.629 (0.612)	Data 0.001 (0.002)	Loss 2.8026 (2.5763)	Prec@1 35.000 (37.253)	Prec@5 61.000 (68.075)
Epoch: [12][2160/9018]	Time 0.640 (0.612)	Data 0.001 (0.002)	Loss 2.4875 (2.5760)	Prec@1 37.500 (37.259)	Prec@5 70.500 (68.082)
Epoch: [12][2170/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5528 (2.5764)	Prec@1 37.500 (37.249)	Prec@5 70.500 (68.082)
Epoch: [12][2180/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.6357 (2.5765)	Prec@1 41.500 (37.252)	Prec@5 65.000 (68.074)
Epoch: [12][2190/9018]	Time 0.731 (0.612)	Data 0.001 (0.002)	Loss 2.7294 (2.5766)	Prec@1 39.500 (37.251)	Prec@5 63.000 (68.071)
Epoch: [12][2200/9018]	Time 0.620 (0.612)	Data 0.001 (0.002)	Loss 2.7713 (2.5767)	Prec@1 32.000 (37.245)	Prec@5 60.500 (68.072)
Epoch: [12][2210/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.6344 (2.5767)	Prec@1 38.000 (37.242)	Prec@5 70.500 (68.078)
Epoch: [12][2220/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6267 (2.5773)	Prec@1 36.000 (37.231)	Prec@5 63.500 (68.066)
Epoch: [12][2230/9018]	Time 0.628 (0.612)	Data 0.001 (0.002)	Loss 2.4362 (2.5772)	Prec@1 40.000 (37.233)	Prec@5 74.000 (68.065)
Epoch: [12][2240/9018]	Time 0.720 (0.612)	Data 0.001 (0.002)	Loss 2.5323 (2.5772)	Prec@1 38.000 (37.224)	Prec@5 70.500 (68.063)
Epoch: [12][2250/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.7777 (2.5775)	Prec@1 32.500 (37.221)	Prec@5 62.500 (68.062)
Epoch: [12][2260/9018]	Time 0.635 (0.612)	Data 0.001 (0.002)	Loss 2.6162 (2.5775)	Prec@1 38.000 (37.223)	Prec@5 65.500 (68.063)
Epoch: [12][2270/9018]	Time 0.627 (0.612)	Data 0.001 (0.002)	Loss 2.5553 (2.5776)	Prec@1 36.000 (37.215)	Prec@5 67.500 (68.062)
Epoch: [12][2280/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.3639 (2.5776)	Prec@1 44.000 (37.212)	Prec@5 73.000 (68.063)
Epoch: [12][2290/9018]	Time 0.615 (0.612)	Data 0.001 (0.002)	Loss 2.3534 (2.5770)	Prec@1 37.500 (37.218)	Prec@5 74.500 (68.076)
Epoch: [12][2300/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.7043 (2.5769)	Prec@1 36.500 (37.221)	Prec@5 64.500 (68.072)
Epoch: [12][2310/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.5163 (2.5767)	Prec@1 40.500 (37.232)	Prec@5 68.000 (68.074)
Epoch: [12][2320/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.6545 (2.5767)	Prec@1 34.500 (37.228)	Prec@5 66.000 (68.074)
Epoch: [12][2330/9018]	Time 0.614 (0.612)	Data 0.001 (0.002)	Loss 2.6507 (2.5766)	Prec@1 34.000 (37.228)	Prec@5 69.500 (68.077)
Epoch: [12][2340/9018]	Time 0.615 (0.612)	Data 0.001 (0.002)	Loss 2.6423 (2.5767)	Prec@1 34.000 (37.227)	Prec@5 69.500 (68.078)
Epoch: [12][2350/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 2.6307 (2.5767)	Prec@1 35.500 (37.225)	Prec@5 64.500 (68.078)
Epoch: [12][2360/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.2496 (2.5768)	Prec@1 44.500 (37.226)	Prec@5 73.500 (68.078)
Epoch: [12][2370/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.5864 (2.5771)	Prec@1 39.000 (37.219)	Prec@5 64.000 (68.076)
Epoch: [12][2380/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.7929 (2.5772)	Prec@1 35.500 (37.221)	Prec@5 63.000 (68.073)
Epoch: [12][2390/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.5202 (2.5772)	Prec@1 36.500 (37.221)	Prec@5 70.000 (68.068)
Epoch: [12][2400/9018]	Time 0.616 (0.612)	Data 0.001 (0.002)	Loss 2.7640 (2.5775)	Prec@1 33.000 (37.215)	Prec@5 64.500 (68.067)
Epoch: [12][2410/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.4126 (2.5774)	Prec@1 39.500 (37.217)	Prec@5 71.500 (68.071)
Epoch: [12][2420/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6757 (2.5773)	Prec@1 40.500 (37.215)	Prec@5 67.500 (68.071)
Epoch: [12][2430/9018]	Time 0.618 (0.612)	Data 0.001 (0.002)	Loss 2.6522 (2.5774)	Prec@1 34.500 (37.210)	Prec@5 66.000 (68.065)
Epoch: [12][2440/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.7932 (2.5773)	Prec@1 33.000 (37.213)	Prec@5 63.500 (68.063)
Epoch: [12][2450/9018]	Time 0.636 (0.612)	Data 0.001 (0.002)	Loss 2.5711 (2.5771)	Prec@1 33.500 (37.217)	Prec@5 72.500 (68.069)
Epoch: [12][2460/9018]	Time 0.620 (0.612)	Data 0.001 (0.002)	Loss 2.5531 (2.5771)	Prec@1 37.500 (37.218)	Prec@5 66.000 (68.067)
Epoch: [12][2470/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.5267 (2.5770)	Prec@1 37.500 (37.214)	Prec@5 67.000 (68.069)
Epoch: [12][2480/9018]	Time 0.630 (0.612)	Data 0.001 (0.002)	Loss 2.5535 (2.5768)	Prec@1 39.000 (37.220)	Prec@5 66.500 (68.070)
Epoch: [12][2490/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.6216 (2.5770)	Prec@1 40.000 (37.222)	Prec@5 64.000 (68.067)
Epoch: [12][2500/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.5521 (2.5771)	Prec@1 38.000 (37.219)	Prec@5 68.000 (68.063)
Epoch: [12][2510/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.8006 (2.5773)	Prec@1 34.500 (37.216)	Prec@5 65.500 (68.066)
Epoch: [12][2520/9018]	Time 0.735 (0.612)	Data 0.001 (0.002)	Loss 2.4265 (2.5773)	Prec@1 42.500 (37.218)	Prec@5 72.500 (68.068)
Epoch: [12][2530/9018]	Time 0.620 (0.612)	Data 0.001 (0.002)	Loss 2.6426 (2.5775)	Prec@1 39.500 (37.211)	Prec@5 66.500 (68.064)
Epoch: [12][2540/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.5239 (2.5775)	Prec@1 40.000 (37.211)	Prec@5 66.500 (68.064)
Epoch: [12][2550/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.5419 (2.5777)	Prec@1 37.500 (37.210)	Prec@5 70.500 (68.064)
Epoch: [12][2560/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.6998 (2.5778)	Prec@1 38.000 (37.215)	Prec@5 68.000 (68.061)
Epoch: [12][2570/9018]	Time 0.751 (0.612)	Data 0.001 (0.002)	Loss 2.4161 (2.5779)	Prec@1 36.000 (37.207)	Prec@5 71.500 (68.062)
Epoch: [12][2580/9018]	Time 0.623 (0.612)	Data 0.001 (0.002)	Loss 2.7279 (2.5783)	Prec@1 34.000 (37.203)	Prec@5 69.500 (68.054)
Epoch: [12][2590/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.4910 (2.5780)	Prec@1 36.000 (37.208)	Prec@5 72.500 (68.055)
Epoch: [12][2600/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.7919 (2.5781)	Prec@1 37.000 (37.212)	Prec@5 65.000 (68.056)
Epoch: [12][2610/9018]	Time 0.592 (0.612)	Data 0.001 (0.002)	Loss 2.5276 (2.5784)	Prec@1 40.500 (37.206)	Prec@5 68.500 (68.051)
Epoch: [12][2620/9018]	Time 0.622 (0.612)	Data 0.001 (0.002)	Loss 2.6501 (2.5785)	Prec@1 34.000 (37.209)	Prec@5 66.000 (68.045)
Epoch: [12][2630/9018]	Time 0.620 (0.612)	Data 0.001 (0.002)	Loss 2.3593 (2.5788)	Prec@1 42.500 (37.209)	Prec@5 70.500 (68.040)
Epoch: [12][2640/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.5838 (2.5786)	Prec@1 33.500 (37.209)	Prec@5 66.500 (68.044)
Epoch: [12][2650/9018]	Time 0.621 (0.612)	Data 0.001 (0.002)	Loss 2.5316 (2.5783)	Prec@1 41.500 (37.214)	Prec@5 68.500 (68.049)
Epoch: [12][2660/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.4937 (2.5784)	Prec@1 34.000 (37.213)	Prec@5 72.000 (68.047)
Epoch: [12][2670/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.4665 (2.5785)	Prec@1 40.500 (37.204)	Prec@5 67.500 (68.043)
Epoch: [12][2680/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.4026 (2.5786)	Prec@1 42.500 (37.203)	Prec@5 71.000 (68.039)
Epoch: [12][2690/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6157 (2.5784)	Prec@1 38.500 (37.205)	Prec@5 65.500 (68.040)
Epoch: [12][2700/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.4575 (2.5781)	Prec@1 38.000 (37.211)	Prec@5 68.500 (68.044)
Epoch: [12][2710/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5420 (2.5778)	Prec@1 37.000 (37.211)	Prec@5 67.000 (68.051)
Epoch: [12][2720/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.5176 (2.5780)	Prec@1 40.500 (37.209)	Prec@5 71.000 (68.047)
Epoch: [12][2730/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6369 (2.5781)	Prec@1 37.500 (37.205)	Prec@5 71.000 (68.046)
Epoch: [12][2740/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.6630 (2.5780)	Prec@1 38.000 (37.208)	Prec@5 64.000 (68.045)
Epoch: [12][2750/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 2.7646 (2.5782)	Prec@1 34.000 (37.203)	Prec@5 63.500 (68.044)
Epoch: [12][2760/9018]	Time 0.618 (0.612)	Data 0.001 (0.002)	Loss 2.6224 (2.5784)	Prec@1 40.000 (37.198)	Prec@5 68.000 (68.041)
Epoch: [12][2770/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.6392 (2.5784)	Prec@1 37.500 (37.193)	Prec@5 67.000 (68.042)
Epoch: [12][2780/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.5264 (2.5784)	Prec@1 39.000 (37.194)	Prec@5 65.000 (68.040)
Epoch: [12][2790/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.6224 (2.5784)	Prec@1 35.000 (37.196)	Prec@5 66.000 (68.039)
Epoch: [12][2800/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.5183 (2.5783)	Prec@1 37.500 (37.197)	Prec@5 67.500 (68.042)
Epoch: [12][2810/9018]	Time 0.625 (0.612)	Data 0.001 (0.002)	Loss 2.5153 (2.5781)	Prec@1 35.500 (37.203)	Prec@5 70.500 (68.045)
Epoch: [12][2820/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6567 (2.5779)	Prec@1 38.500 (37.204)	Prec@5 64.500 (68.050)
Epoch: [12][2830/9018]	Time 0.628 (0.612)	Data 0.001 (0.002)	Loss 2.6389 (2.5779)	Prec@1 40.000 (37.208)	Prec@5 66.500 (68.050)
Epoch: [12][2840/9018]	Time 0.604 (0.613)	Data 0.001 (0.002)	Loss 2.3575 (2.5781)	Prec@1 39.500 (37.207)	Prec@5 74.500 (68.044)
Epoch: [12][2850/9018]	Time 0.730 (0.613)	Data 0.001 (0.002)	Loss 2.5327 (2.5782)	Prec@1 33.500 (37.201)	Prec@5 69.000 (68.038)
Epoch: [12][2860/9018]	Time 0.605 (0.613)	Data 0.001 (0.002)	Loss 2.7803 (2.5783)	Prec@1 30.000 (37.201)	Prec@5 62.500 (68.038)
Epoch: [12][2870/9018]	Time 0.610 (0.613)	Data 0.001 (0.002)	Loss 2.3661 (2.5781)	Prec@1 41.500 (37.204)	Prec@5 70.500 (68.041)
Epoch: [12][2880/9018]	Time 0.593 (0.613)	Data 0.001 (0.002)	Loss 2.7475 (2.5783)	Prec@1 38.000 (37.203)	Prec@5 64.500 (68.036)
Epoch: [12][2890/9018]	Time 0.598 (0.613)	Data 0.001 (0.002)	Loss 2.4881 (2.5782)	Prec@1 39.500 (37.207)	Prec@5 70.000 (68.039)
Epoch: [12][2900/9018]	Time 0.728 (0.613)	Data 0.001 (0.002)	Loss 2.4892 (2.5782)	Prec@1 39.000 (37.204)	Prec@5 68.000 (68.036)
Epoch: [12][2910/9018]	Time 0.615 (0.613)	Data 0.001 (0.002)	Loss 2.5850 (2.5783)	Prec@1 38.500 (37.200)	Prec@5 67.500 (68.034)
Epoch: [12][2920/9018]	Time 0.602 (0.613)	Data 0.001 (0.002)	Loss 2.6748 (2.5784)	Prec@1 33.500 (37.196)	Prec@5 62.500 (68.035)
Epoch: [12][2930/9018]	Time 0.606 (0.613)	Data 0.001 (0.002)	Loss 2.6160 (2.5784)	Prec@1 38.500 (37.197)	Prec@5 66.000 (68.033)
Epoch: [12][2940/9018]	Time 0.603 (0.613)	Data 0.001 (0.002)	Loss 2.3990 (2.5786)	Prec@1 39.000 (37.192)	Prec@5 71.500 (68.028)
Epoch: [12][2950/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 2.4815 (2.5787)	Prec@1 39.500 (37.192)	Prec@5 73.500 (68.028)
Epoch: [12][2960/9018]	Time 0.617 (0.613)	Data 0.001 (0.002)	Loss 2.7103 (2.5786)	Prec@1 37.500 (37.190)	Prec@5 60.000 (68.026)
Epoch: [12][2970/9018]	Time 0.595 (0.613)	Data 0.001 (0.002)	Loss 2.5550 (2.5787)	Prec@1 38.500 (37.187)	Prec@5 64.500 (68.024)
Epoch: [12][2980/9018]	Time 0.629 (0.613)	Data 0.001 (0.002)	Loss 2.6673 (2.5786)	Prec@1 33.500 (37.190)	Prec@5 67.000 (68.026)
Epoch: [12][2990/9018]	Time 0.627 (0.613)	Data 0.001 (0.002)	Loss 2.7171 (2.5789)	Prec@1 34.500 (37.183)	Prec@5 65.000 (68.022)
Epoch: [12][3000/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.4458 (2.5789)	Prec@1 38.000 (37.181)	Prec@5 70.500 (68.020)
Epoch: [12][3010/9018]	Time 0.591 (0.613)	Data 0.001 (0.002)	Loss 2.6038 (2.5788)	Prec@1 33.500 (37.184)	Prec@5 67.500 (68.023)
Epoch: [12][3020/9018]	Time 0.602 (0.613)	Data 0.001 (0.002)	Loss 2.6745 (2.5787)	Prec@1 37.500 (37.189)	Prec@5 68.500 (68.026)
Epoch: [12][3030/9018]	Time 0.627 (0.613)	Data 0.001 (0.002)	Loss 2.8929 (2.5788)	Prec@1 28.500 (37.187)	Prec@5 59.500 (68.025)
Epoch: [12][3040/9018]	Time 0.632 (0.613)	Data 0.001 (0.002)	Loss 2.6651 (2.5789)	Prec@1 37.500 (37.185)	Prec@5 68.000 (68.024)
Epoch: [12][3050/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.6116 (2.5789)	Prec@1 39.000 (37.187)	Prec@5 65.000 (68.023)
Epoch: [12][3060/9018]	Time 0.630 (0.613)	Data 0.001 (0.002)	Loss 2.4692 (2.5789)	Prec@1 39.000 (37.186)	Prec@5 68.000 (68.023)
Epoch: [12][3070/9018]	Time 0.597 (0.613)	Data 0.001 (0.002)	Loss 2.7774 (2.5788)	Prec@1 34.500 (37.189)	Prec@5 64.000 (68.025)
Epoch: [12][3080/9018]	Time 0.616 (0.613)	Data 0.001 (0.002)	Loss 2.6291 (2.5787)	Prec@1 36.000 (37.193)	Prec@5 68.500 (68.028)
Epoch: [12][3090/9018]	Time 0.599 (0.613)	Data 0.001 (0.002)	Loss 2.5864 (2.5786)	Prec@1 37.500 (37.195)	Prec@5 70.000 (68.028)
Epoch: [12][3100/9018]	Time 0.604 (0.613)	Data 0.001 (0.002)	Loss 2.3658 (2.5787)	Prec@1 44.000 (37.194)	Prec@5 72.000 (68.025)
Epoch: [12][3110/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.5713 (2.5787)	Prec@1 36.000 (37.197)	Prec@5 65.000 (68.026)
Epoch: [12][3120/9018]	Time 0.590 (0.613)	Data 0.001 (0.001)	Loss 2.5588 (2.5787)	Prec@1 37.000 (37.193)	Prec@5 66.500 (68.022)
Epoch: [12][3130/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.4654 (2.5788)	Prec@1 40.500 (37.192)	Prec@5 76.500 (68.022)
Epoch: [12][3140/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.7857 (2.5790)	Prec@1 33.000 (37.191)	Prec@5 67.000 (68.021)
Epoch: [12][3150/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.5109 (2.5787)	Prec@1 31.500 (37.193)	Prec@5 69.000 (68.026)
Epoch: [12][3160/9018]	Time 0.614 (0.613)	Data 0.001 (0.001)	Loss 2.6669 (2.5792)	Prec@1 40.000 (37.182)	Prec@5 68.000 (68.019)
Epoch: [12][3170/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.6832 (2.5794)	Prec@1 36.000 (37.178)	Prec@5 68.500 (68.014)
Epoch: [12][3180/9018]	Time 0.715 (0.613)	Data 0.001 (0.001)	Loss 2.4916 (2.5794)	Prec@1 41.500 (37.175)	Prec@5 70.500 (68.015)
Epoch: [12][3190/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 2.8851 (2.5796)	Prec@1 31.500 (37.173)	Prec@5 64.000 (68.010)
Epoch: [12][3200/9018]	Time 0.629 (0.613)	Data 0.001 (0.001)	Loss 2.5338 (2.5796)	Prec@1 34.000 (37.169)	Prec@5 65.000 (68.014)
Epoch: [12][3210/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 2.5910 (2.5796)	Prec@1 39.500 (37.172)	Prec@5 67.500 (68.012)
Epoch: [12][3220/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 2.7238 (2.5797)	Prec@1 33.000 (37.171)	Prec@5 65.500 (68.013)
Epoch: [12][3230/9018]	Time 0.743 (0.613)	Data 0.001 (0.001)	Loss 2.4977 (2.5798)	Prec@1 37.500 (37.169)	Prec@5 68.500 (68.010)
Epoch: [12][3240/9018]	Time 0.631 (0.613)	Data 0.001 (0.001)	Loss 2.7045 (2.5799)	Prec@1 33.500 (37.166)	Prec@5 63.500 (68.012)
Epoch: [12][3250/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.7579 (2.5798)	Prec@1 34.000 (37.166)	Prec@5 63.000 (68.013)
Epoch: [12][3260/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.3818 (2.5799)	Prec@1 41.500 (37.166)	Prec@5 73.000 (68.010)
Epoch: [12][3270/9018]	Time 0.631 (0.613)	Data 0.001 (0.001)	Loss 2.4520 (2.5798)	Prec@1 40.000 (37.167)	Prec@5 73.500 (68.012)
Epoch: [12][3280/9018]	Time 0.616 (0.613)	Data 0.001 (0.001)	Loss 2.8578 (2.5800)	Prec@1 33.000 (37.163)	Prec@5 62.000 (68.011)
Epoch: [12][3290/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.3964 (2.5800)	Prec@1 41.000 (37.159)	Prec@5 71.000 (68.010)
Epoch: [12][3300/9018]	Time 0.591 (0.613)	Data 0.001 (0.001)	Loss 2.9267 (2.5802)	Prec@1 28.500 (37.154)	Prec@5 60.500 (68.008)
Epoch: [12][3310/9018]	Time 0.622 (0.613)	Data 0.001 (0.001)	Loss 2.4598 (2.5801)	Prec@1 39.500 (37.154)	Prec@5 70.000 (68.009)
Epoch: [12][3320/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.5588 (2.5802)	Prec@1 35.500 (37.149)	Prec@5 70.000 (68.007)
Epoch: [12][3330/9018]	Time 0.627 (0.613)	Data 0.001 (0.001)	Loss 2.6879 (2.5803)	Prec@1 37.000 (37.150)	Prec@5 68.500 (68.003)
Epoch: [12][3340/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.8093 (2.5805)	Prec@1 34.000 (37.150)	Prec@5 63.500 (67.998)
Epoch: [12][3350/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.7333 (2.5804)	Prec@1 31.500 (37.149)	Prec@5 63.000 (67.997)
Epoch: [12][3360/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.7403 (2.5804)	Prec@1 35.500 (37.153)	Prec@5 65.500 (67.998)
Epoch: [12][3370/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.5690 (2.5805)	Prec@1 34.500 (37.148)	Prec@5 67.000 (67.997)
Epoch: [12][3380/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.6634 (2.5805)	Prec@1 36.500 (37.149)	Prec@5 64.500 (67.994)
Epoch: [12][3390/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 2.5526 (2.5805)	Prec@1 42.500 (37.152)	Prec@5 67.500 (67.995)
Epoch: [12][3400/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.5420 (2.5804)	Prec@1 37.500 (37.155)	Prec@5 67.500 (67.998)
Epoch: [12][3410/9018]	Time 0.614 (0.613)	Data 0.001 (0.001)	Loss 2.7530 (2.5807)	Prec@1 35.000 (37.148)	Prec@5 65.000 (67.995)
Epoch: [12][3420/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.7800 (2.5805)	Prec@1 29.000 (37.147)	Prec@5 64.000 (67.997)
Epoch: [12][3430/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.7275 (2.5806)	Prec@1 36.000 (37.145)	Prec@5 67.500 (67.998)
Epoch: [12][3440/9018]	Time 0.630 (0.613)	Data 0.001 (0.001)	Loss 2.8798 (2.5806)	Prec@1 27.000 (37.142)	Prec@5 63.000 (67.999)
Epoch: [12][3450/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6785 (2.5806)	Prec@1 38.000 (37.146)	Prec@5 64.000 (67.999)
Epoch: [12][3460/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.6077 (2.5806)	Prec@1 32.500 (37.143)	Prec@5 68.500 (68.002)
Epoch: [12][3470/9018]	Time 0.630 (0.613)	Data 0.001 (0.001)	Loss 2.4179 (2.5806)	Prec@1 42.000 (37.145)	Prec@5 72.500 (68.003)
Epoch: [12][3480/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 2.6620 (2.5804)	Prec@1 34.500 (37.147)	Prec@5 65.000 (68.004)
Epoch: [12][3490/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.5293 (2.5803)	Prec@1 34.500 (37.149)	Prec@5 71.000 (68.008)
Epoch: [12][3500/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 2.4684 (2.5804)	Prec@1 41.000 (37.151)	Prec@5 71.500 (68.009)
Epoch: [12][3510/9018]	Time 0.714 (0.613)	Data 0.001 (0.001)	Loss 2.4024 (2.5802)	Prec@1 43.000 (37.156)	Prec@5 73.500 (68.011)
Epoch: [12][3520/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 2.5288 (2.5802)	Prec@1 38.500 (37.153)	Prec@5 66.500 (68.009)
Epoch: [12][3530/9018]	Time 0.585 (0.613)	Data 0.001 (0.001)	Loss 2.7200 (2.5802)	Prec@1 33.500 (37.154)	Prec@5 65.000 (68.012)
Epoch: [12][3540/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 2.6727 (2.5802)	Prec@1 34.000 (37.153)	Prec@5 67.000 (68.014)
Epoch: [12][3550/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.6047 (2.5802)	Prec@1 34.500 (37.150)	Prec@5 68.500 (68.012)
Epoch: [12][3560/9018]	Time 0.748 (0.613)	Data 0.001 (0.001)	Loss 2.7452 (2.5799)	Prec@1 35.000 (37.157)	Prec@5 65.500 (68.018)
Epoch: [12][3570/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.7932 (2.5799)	Prec@1 35.000 (37.156)	Prec@5 65.500 (68.017)
Epoch: [12][3580/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.5062 (2.5799)	Prec@1 37.000 (37.157)	Prec@5 69.000 (68.019)
Epoch: [12][3590/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 2.7719 (2.5799)	Prec@1 36.500 (37.154)	Prec@5 65.500 (68.018)
Epoch: [12][3600/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 2.5938 (2.5800)	Prec@1 38.000 (37.156)	Prec@5 67.500 (68.016)
Epoch: [12][3610/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.7038 (2.5801)	Prec@1 32.000 (37.154)	Prec@5 69.000 (68.012)
Epoch: [12][3620/9018]	Time 0.591 (0.613)	Data 0.001 (0.001)	Loss 2.7535 (2.5800)	Prec@1 35.500 (37.155)	Prec@5 63.500 (68.016)
Epoch: [12][3630/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.7151 (2.5800)	Prec@1 34.500 (37.156)	Prec@5 64.000 (68.014)
Epoch: [12][3640/9018]	Time 0.620 (0.613)	Data 0.001 (0.001)	Loss 2.5549 (2.5799)	Prec@1 37.500 (37.159)	Prec@5 68.500 (68.018)
Epoch: [12][3650/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.5368 (2.5799)	Prec@1 40.500 (37.155)	Prec@5 72.000 (68.017)
Epoch: [12][3660/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 2.5998 (2.5799)	Prec@1 38.000 (37.154)	Prec@5 70.000 (68.017)
Epoch: [12][3670/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 2.5463 (2.5800)	Prec@1 40.500 (37.155)	Prec@5 69.000 (68.016)
Epoch: [12][3680/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 2.6471 (2.5800)	Prec@1 33.000 (37.155)	Prec@5 68.000 (68.016)
Epoch: [12][3690/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.7237 (2.5800)	Prec@1 32.000 (37.154)	Prec@5 67.500 (68.017)
Epoch: [12][3700/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 2.8797 (2.5800)	Prec@1 31.500 (37.154)	Prec@5 62.000 (68.016)
Epoch: [12][3710/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.5956 (2.5799)	Prec@1 36.500 (37.156)	Prec@5 69.500 (68.016)
Epoch: [12][3720/9018]	Time 0.619 (0.613)	Data 0.001 (0.001)	Loss 2.8275 (2.5800)	Prec@1 37.000 (37.159)	Prec@5 62.500 (68.013)
Epoch: [12][3730/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.3663 (2.5800)	Prec@1 40.500 (37.159)	Prec@5 72.500 (68.014)
Epoch: [12][3740/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.5345 (2.5801)	Prec@1 38.000 (37.158)	Prec@5 68.500 (68.010)
Epoch: [12][3750/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.6020 (2.5801)	Prec@1 37.000 (37.157)	Prec@5 67.000 (68.007)
Epoch: [12][3760/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.7841 (2.5802)	Prec@1 35.500 (37.152)	Prec@5 65.000 (68.006)
Epoch: [12][3770/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.5969 (2.5802)	Prec@1 38.000 (37.149)	Prec@5 68.500 (68.007)
Epoch: [12][3780/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.6722 (2.5804)	Prec@1 40.000 (37.149)	Prec@5 62.000 (68.005)
Epoch: [12][3790/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.5751 (2.5802)	Prec@1 36.500 (37.154)	Prec@5 67.000 (68.009)
Epoch: [12][3800/9018]	Time 0.641 (0.613)	Data 0.001 (0.001)	Loss 2.6172 (2.5802)	Prec@1 35.000 (37.154)	Prec@5 67.500 (68.007)
Epoch: [12][3810/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.7741 (2.5802)	Prec@1 39.000 (37.154)	Prec@5 62.000 (68.005)
Epoch: [12][3820/9018]	Time 0.625 (0.613)	Data 0.001 (0.001)	Loss 2.4871 (2.5802)	Prec@1 40.000 (37.154)	Prec@5 69.000 (68.005)
Epoch: [12][3830/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6122 (2.5801)	Prec@1 37.500 (37.154)	Prec@5 69.500 (68.007)
Epoch: [12][3840/9018]	Time 0.745 (0.613)	Data 0.001 (0.001)	Loss 2.5010 (2.5801)	Prec@1 36.000 (37.155)	Prec@5 70.500 (68.007)
Epoch: [12][3850/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.5221 (2.5799)	Prec@1 41.500 (37.159)	Prec@5 68.500 (68.008)
Epoch: [12][3860/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.6610 (2.5800)	Prec@1 39.500 (37.162)	Prec@5 64.500 (68.006)
Epoch: [12][3870/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 2.5739 (2.5801)	Prec@1 39.500 (37.159)	Prec@5 68.500 (68.006)
Epoch: [12][3880/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.7362 (2.5801)	Prec@1 34.000 (37.158)	Prec@5 69.500 (68.005)
Epoch: [12][3890/9018]	Time 0.722 (0.613)	Data 0.001 (0.001)	Loss 2.3288 (2.5801)	Prec@1 46.500 (37.160)	Prec@5 72.000 (68.005)
Epoch: [12][3900/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.6689 (2.5802)	Prec@1 35.500 (37.157)	Prec@5 69.500 (68.003)
Epoch: [12][3910/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.5392 (2.5802)	Prec@1 39.500 (37.158)	Prec@5 73.000 (68.006)
Epoch: [12][3920/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.3167 (2.5801)	Prec@1 41.000 (37.159)	Prec@5 70.000 (68.009)
Epoch: [12][3930/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.5206 (2.5799)	Prec@1 37.500 (37.164)	Prec@5 70.500 (68.012)
Epoch: [12][3940/9018]	Time 0.616 (0.613)	Data 0.001 (0.001)	Loss 2.4696 (2.5799)	Prec@1 40.500 (37.166)	Prec@5 68.500 (68.011)
Epoch: [12][3950/9018]	Time 0.604 (0.613)	Data 0.002 (0.001)	Loss 2.5937 (2.5800)	Prec@1 38.000 (37.167)	Prec@5 67.000 (68.008)
Epoch: [12][3960/9018]	Time 0.589 (0.613)	Data 0.001 (0.001)	Loss 2.3403 (2.5799)	Prec@1 45.500 (37.171)	Prec@5 69.500 (68.010)
Epoch: [12][3970/9018]	Time 0.619 (0.613)	Data 0.001 (0.001)	Loss 2.3721 (2.5799)	Prec@1 40.000 (37.172)	Prec@5 71.500 (68.010)
Epoch: [12][3980/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.5036 (2.5798)	Prec@1 38.500 (37.172)	Prec@5 66.500 (68.012)
Epoch: [12][3990/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6912 (2.5797)	Prec@1 36.000 (37.175)	Prec@5 61.500 (68.013)
Epoch: [12][4000/9018]	Time 0.629 (0.613)	Data 0.001 (0.001)	Loss 2.7100 (2.5800)	Prec@1 36.000 (37.169)	Prec@5 66.500 (68.008)
Epoch: [12][4010/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.3298 (2.5801)	Prec@1 41.000 (37.170)	Prec@5 72.000 (68.007)
Epoch: [12][4020/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.7874 (2.5800)	Prec@1 28.000 (37.170)	Prec@5 64.000 (68.007)
Epoch: [12][4030/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.4016 (2.5800)	Prec@1 41.000 (37.168)	Prec@5 73.000 (68.005)
Epoch: [12][4040/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.4624 (2.5800)	Prec@1 37.500 (37.167)	Prec@5 69.500 (68.007)
Epoch: [12][4050/9018]	Time 0.610 (0.613)	Data 0.001 (0.001)	Loss 2.5647 (2.5800)	Prec@1 38.500 (37.164)	Prec@5 68.000 (68.005)
Epoch: [12][4060/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.4998 (2.5800)	Prec@1 41.500 (37.166)	Prec@5 69.500 (68.005)
Epoch: [12][4070/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.6651 (2.5801)	Prec@1 34.000 (37.164)	Prec@5 66.000 (68.005)
Epoch: [12][4080/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.7011 (2.5802)	Prec@1 35.500 (37.159)	Prec@5 65.500 (68.001)
Epoch: [12][4090/9018]	Time 0.629 (0.613)	Data 0.001 (0.001)	Loss 2.7414 (2.5803)	Prec@1 32.000 (37.160)	Prec@5 62.000 (68.000)
Epoch: [12][4100/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 2.5761 (2.5803)	Prec@1 31.000 (37.158)	Prec@5 69.500 (67.999)
Epoch: [12][4110/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.6469 (2.5803)	Prec@1 36.000 (37.152)	Prec@5 65.500 (67.998)
Epoch: [12][4120/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.6851 (2.5804)	Prec@1 34.500 (37.149)	Prec@5 63.500 (67.994)
Epoch: [12][4130/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 2.6320 (2.5807)	Prec@1 39.000 (37.144)	Prec@5 65.500 (67.989)
Epoch: [12][4140/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 2.7225 (2.5809)	Prec@1 36.000 (37.141)	Prec@5 63.000 (67.982)
Epoch: [12][4150/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.6680 (2.5811)	Prec@1 36.500 (37.134)	Prec@5 65.500 (67.977)
Epoch: [12][4160/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.4526 (2.5812)	Prec@1 41.000 (37.133)	Prec@5 72.500 (67.976)
Epoch: [12][4170/9018]	Time 0.750 (0.613)	Data 0.001 (0.001)	Loss 2.5741 (2.5814)	Prec@1 43.000 (37.131)	Prec@5 66.000 (67.973)
Epoch: [12][4180/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 2.5309 (2.5814)	Prec@1 42.000 (37.130)	Prec@5 68.500 (67.972)
Epoch: [12][4190/9018]	Time 0.591 (0.613)	Data 0.001 (0.001)	Loss 2.8419 (2.5814)	Prec@1 36.000 (37.128)	Prec@5 60.000 (67.971)
Epoch: [12][4200/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 2.7930 (2.5815)	Prec@1 36.000 (37.132)	Prec@5 63.500 (67.968)
Epoch: [12][4210/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.6815 (2.5815)	Prec@1 35.000 (37.132)	Prec@5 64.500 (67.967)
Epoch: [12][4220/9018]	Time 0.715 (0.613)	Data 0.001 (0.001)	Loss 2.2932 (2.5815)	Prec@1 46.000 (37.136)	Prec@5 73.500 (67.967)
Epoch: [12][4230/9018]	Time 0.610 (0.613)	Data 0.001 (0.001)	Loss 2.3105 (2.5814)	Prec@1 41.500 (37.137)	Prec@5 73.000 (67.968)
Epoch: [12][4240/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.5417 (2.5814)	Prec@1 39.000 (37.139)	Prec@5 68.000 (67.969)
Epoch: [12][4250/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 2.5927 (2.5815)	Prec@1 37.000 (37.138)	Prec@5 67.000 (67.966)
Epoch: [12][4260/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 2.3664 (2.5816)	Prec@1 43.500 (37.140)	Prec@5 75.000 (67.964)
Epoch: [12][4270/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.4132 (2.5816)	Prec@1 41.000 (37.139)	Prec@5 71.000 (67.964)
Epoch: [12][4280/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.7455 (2.5816)	Prec@1 36.500 (37.141)	Prec@5 65.000 (67.963)
Epoch: [12][4290/9018]	Time 0.588 (0.613)	Data 0.001 (0.001)	Loss 2.4751 (2.5816)	Prec@1 41.500 (37.144)	Prec@5 69.500 (67.966)
Epoch: [12][4300/9018]	Time 0.616 (0.613)	Data 0.001 (0.001)	Loss 2.5306 (2.5815)	Prec@1 36.000 (37.145)	Prec@5 70.000 (67.967)
Epoch: [12][4310/9018]	Time 0.627 (0.613)	Data 0.001 (0.001)	Loss 2.6570 (2.5813)	Prec@1 32.500 (37.146)	Prec@5 65.000 (67.973)
Epoch: [12][4320/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.4668 (2.5813)	Prec@1 38.000 (37.147)	Prec@5 68.000 (67.973)
Epoch: [12][4330/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 2.5979 (2.5812)	Prec@1 36.500 (37.148)	Prec@5 71.000 (67.974)
Epoch: [12][4340/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.2911 (2.5812)	Prec@1 42.000 (37.145)	Prec@5 74.000 (67.974)
Epoch: [12][4350/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.6772 (2.5812)	Prec@1 39.000 (37.142)	Prec@5 67.500 (67.975)
Epoch: [12][4360/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.6222 (2.5813)	Prec@1 38.500 (37.141)	Prec@5 67.500 (67.973)
Epoch: [12][4370/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 2.5385 (2.5813)	Prec@1 39.000 (37.140)	Prec@5 65.500 (67.974)
Epoch: [12][4380/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.4009 (2.5813)	Prec@1 40.000 (37.139)	Prec@5 70.500 (67.976)
Epoch: [12][4390/9018]	Time 0.610 (0.613)	Data 0.001 (0.001)	Loss 2.5831 (2.5814)	Prec@1 36.000 (37.137)	Prec@5 72.000 (67.975)
Epoch: [12][4400/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.5082 (2.5814)	Prec@1 36.500 (37.132)	Prec@5 71.000 (67.976)
Epoch: [12][4410/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.9177 (2.5815)	Prec@1 32.500 (37.134)	Prec@5 61.000 (67.974)
Epoch: [12][4420/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.4487 (2.5815)	Prec@1 39.500 (37.134)	Prec@5 75.000 (67.975)
Epoch: [12][4430/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.5014 (2.5815)	Prec@1 37.500 (37.134)	Prec@5 68.000 (67.974)
Epoch: [12][4440/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.5184 (2.5816)	Prec@1 41.500 (37.136)	Prec@5 70.500 (67.973)
Epoch: [12][4450/9018]	Time 0.632 (0.613)	Data 0.001 (0.001)	Loss 2.5426 (2.5816)	Prec@1 37.000 (37.135)	Prec@5 71.500 (67.972)
Epoch: [12][4460/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.4110 (2.5817)	Prec@1 41.500 (37.135)	Prec@5 69.000 (67.971)
Epoch: [12][4470/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.4454 (2.5816)	Prec@1 40.000 (37.140)	Prec@5 70.500 (67.973)
Epoch: [12][4480/9018]	Time 0.632 (0.613)	Data 0.001 (0.001)	Loss 2.5794 (2.5814)	Prec@1 36.000 (37.142)	Prec@5 67.000 (67.973)
Epoch: [12][4490/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.5320 (2.5816)	Prec@1 39.500 (37.136)	Prec@5 69.000 (67.969)
Epoch: [12][4500/9018]	Time 0.710 (0.613)	Data 0.001 (0.001)	Loss 2.3613 (2.5814)	Prec@1 40.500 (37.138)	Prec@5 72.000 (67.971)
Epoch: [12][4510/9018]	Time 0.619 (0.613)	Data 0.001 (0.001)	Loss 2.4968 (2.5812)	Prec@1 39.000 (37.141)	Prec@5 71.000 (67.978)
Epoch: [12][4520/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.8982 (2.5813)	Prec@1 36.500 (37.139)	Prec@5 62.000 (67.976)
Epoch: [12][4530/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.4538 (2.5813)	Prec@1 38.500 (37.137)	Prec@5 71.500 (67.976)
Epoch: [12][4540/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.3145 (2.5811)	Prec@1 40.000 (37.139)	Prec@5 75.500 (67.982)
Epoch: [12][4550/9018]	Time 0.764 (0.613)	Data 0.001 (0.001)	Loss 2.6676 (2.5810)	Prec@1 40.000 (37.139)	Prec@5 61.500 (67.981)
Epoch: [12][4560/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.5301 (2.5812)	Prec@1 35.000 (37.137)	Prec@5 69.000 (67.978)
Epoch: [12][4570/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.4935 (2.5811)	Prec@1 40.000 (37.140)	Prec@5 72.500 (67.981)
Epoch: [12][4580/9018]	Time 0.616 (0.613)	Data 0.001 (0.001)	Loss 2.5789 (2.5812)	Prec@1 39.500 (37.138)	Prec@5 66.500 (67.979)
Epoch: [12][4590/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.4195 (2.5812)	Prec@1 38.000 (37.134)	Prec@5 72.000 (67.978)
Epoch: [12][4600/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.5334 (2.5812)	Prec@1 35.000 (37.129)	Prec@5 71.500 (67.977)
Epoch: [12][4610/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 2.3331 (2.5811)	Prec@1 39.500 (37.132)	Prec@5 73.500 (67.977)
Epoch: [12][4620/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.7631 (2.5812)	Prec@1 32.500 (37.131)	Prec@5 64.000 (67.976)
Epoch: [12][4630/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 2.7912 (2.5812)	Prec@1 33.000 (37.132)	Prec@5 60.000 (67.973)
Epoch: [12][4640/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.6460 (2.5812)	Prec@1 38.000 (37.130)	Prec@5 63.000 (67.974)
Epoch: [12][4650/9018]	Time 0.629 (0.613)	Data 0.001 (0.001)	Loss 2.5312 (2.5812)	Prec@1 33.500 (37.129)	Prec@5 71.000 (67.977)
Epoch: [12][4660/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.5494 (2.5813)	Prec@1 37.500 (37.127)	Prec@5 70.500 (67.975)
Epoch: [12][4670/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.5383 (2.5814)	Prec@1 38.500 (37.129)	Prec@5 64.000 (67.971)
Epoch: [12][4680/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.7699 (2.5814)	Prec@1 35.500 (37.130)	Prec@5 63.500 (67.973)
Epoch: [12][4690/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 2.7318 (2.5814)	Prec@1 33.500 (37.130)	Prec@5 61.000 (67.972)
Epoch: [12][4700/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 2.4854 (2.5815)	Prec@1 38.500 (37.127)	Prec@5 66.500 (67.969)
Epoch: [12][4710/9018]	Time 0.628 (0.613)	Data 0.001 (0.001)	Loss 2.7320 (2.5814)	Prec@1 37.000 (37.127)	Prec@5 62.500 (67.970)
Epoch: [12][4720/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.7517 (2.5815)	Prec@1 30.500 (37.124)	Prec@5 66.000 (67.968)
Epoch: [12][4730/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 2.6579 (2.5816)	Prec@1 37.500 (37.122)	Prec@5 68.500 (67.968)
Epoch: [12][4740/9018]	Time 0.614 (0.613)	Data 0.001 (0.001)	Loss 2.5289 (2.5816)	Prec@1 40.000 (37.123)	Prec@5 68.000 (67.967)
Epoch: [12][4750/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.6514 (2.5816)	Prec@1 35.500 (37.122)	Prec@5 67.000 (67.967)
Epoch: [12][4760/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.7408 (2.5816)	Prec@1 37.500 (37.124)	Prec@5 66.000 (67.970)
Epoch: [12][4770/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.7385 (2.5816)	Prec@1 32.500 (37.121)	Prec@5 67.000 (67.970)
Epoch: [12][4780/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 2.4488 (2.5816)	Prec@1 42.000 (37.120)	Prec@5 72.500 (67.970)
Epoch: [12][4790/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 2.4487 (2.5816)	Prec@1 41.500 (37.117)	Prec@5 69.500 (67.968)
Epoch: [12][4800/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.6742 (2.5815)	Prec@1 36.500 (37.121)	Prec@5 68.500 (67.969)
Epoch: [12][4810/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.4880 (2.5815)	Prec@1 39.000 (37.120)	Prec@5 65.000 (67.967)
Epoch: [12][4820/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.5214 (2.5814)	Prec@1 40.000 (37.122)	Prec@5 71.500 (67.971)
Epoch: [12][4830/9018]	Time 0.719 (0.613)	Data 0.001 (0.001)	Loss 2.6799 (2.5815)	Prec@1 35.500 (37.123)	Prec@5 66.500 (67.967)
Epoch: [12][4840/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6559 (2.5817)	Prec@1 33.500 (37.117)	Prec@5 68.500 (67.964)
Epoch: [12][4850/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.3923 (2.5817)	Prec@1 38.000 (37.114)	Prec@5 74.500 (67.964)
Epoch: [12][4860/9018]	Time 0.644 (0.613)	Data 0.001 (0.001)	Loss 2.3508 (2.5817)	Prec@1 39.000 (37.112)	Prec@5 74.000 (67.968)
Epoch: [12][4870/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.6955 (2.5817)	Prec@1 35.500 (37.110)	Prec@5 69.500 (67.968)
Epoch: [12][4880/9018]	Time 0.707 (0.613)	Data 0.001 (0.001)	Loss 2.8651 (2.5818)	Prec@1 32.000 (37.106)	Prec@5 64.500 (67.967)
Epoch: [12][4890/9018]	Time 0.628 (0.613)	Data 0.001 (0.001)	Loss 2.6590 (2.5818)	Prec@1 35.500 (37.104)	Prec@5 64.500 (67.966)
Epoch: [12][4900/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.5350 (2.5819)	Prec@1 38.500 (37.105)	Prec@5 72.500 (67.968)
Epoch: [12][4910/9018]	Time 0.628 (0.613)	Data 0.001 (0.001)	Loss 2.6261 (2.5818)	Prec@1 34.500 (37.105)	Prec@5 69.500 (67.969)
Epoch: [12][4920/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.7612 (2.5818)	Prec@1 33.000 (37.106)	Prec@5 67.000 (67.970)
Epoch: [12][4930/9018]	Time 0.628 (0.613)	Data 0.001 (0.001)	Loss 2.5865 (2.5819)	Prec@1 35.500 (37.105)	Prec@5 66.500 (67.968)
Epoch: [12][4940/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.4187 (2.5818)	Prec@1 39.000 (37.104)	Prec@5 73.500 (67.968)
Epoch: [12][4950/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.5075 (2.5818)	Prec@1 37.000 (37.104)	Prec@5 73.500 (67.971)
Epoch: [12][4960/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.4724 (2.5816)	Prec@1 40.000 (37.108)	Prec@5 71.000 (67.974)
Epoch: [12][4970/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.5071 (2.5817)	Prec@1 36.500 (37.105)	Prec@5 70.500 (67.970)
Epoch: [12][4980/9018]	Time 0.627 (0.613)	Data 0.001 (0.001)	Loss 2.8311 (2.5817)	Prec@1 33.500 (37.104)	Prec@5 62.500 (67.972)
Epoch: [12][4990/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.6260 (2.5818)	Prec@1 37.500 (37.103)	Prec@5 63.500 (67.973)
Epoch: [12][5000/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.4342 (2.5815)	Prec@1 37.000 (37.110)	Prec@5 72.500 (67.977)
Epoch: [12][5010/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.7166 (2.5815)	Prec@1 31.500 (37.110)	Prec@5 66.000 (67.977)
Epoch: [12][5020/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.7298 (2.5814)	Prec@1 38.000 (37.111)	Prec@5 65.000 (67.978)
Epoch: [12][5030/9018]	Time 0.633 (0.613)	Data 0.001 (0.001)	Loss 2.7755 (2.5815)	Prec@1 32.000 (37.110)	Prec@5 64.500 (67.978)
Epoch: [12][5040/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.6355 (2.5813)	Prec@1 40.000 (37.113)	Prec@5 65.000 (67.981)
Epoch: [12][5050/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.5884 (2.5813)	Prec@1 37.000 (37.117)	Prec@5 70.500 (67.982)
Epoch: [12][5060/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 2.4889 (2.5812)	Prec@1 36.000 (37.116)	Prec@5 69.000 (67.982)
Epoch: [12][5070/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.7408 (2.5813)	Prec@1 37.000 (37.113)	Prec@5 64.500 (67.983)
Epoch: [12][5080/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.5700 (2.5814)	Prec@1 32.000 (37.112)	Prec@5 68.500 (67.982)
Epoch: [12][5090/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.5556 (2.5814)	Prec@1 37.500 (37.112)	Prec@5 69.000 (67.980)
Epoch: [12][5100/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 2.4676 (2.5813)	Prec@1 43.000 (37.115)	Prec@5 70.500 (67.980)
Epoch: [12][5110/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.6370 (2.5813)	Prec@1 32.000 (37.114)	Prec@5 70.000 (67.982)
Epoch: [12][5120/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.6208 (2.5814)	Prec@1 40.000 (37.112)	Prec@5 67.500 (67.983)
Epoch: [12][5130/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.6011 (2.5815)	Prec@1 37.500 (37.110)	Prec@5 63.500 (67.981)
Epoch: [12][5140/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.3625 (2.5816)	Prec@1 41.000 (37.110)	Prec@5 69.000 (67.979)
Epoch: [12][5150/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.6246 (2.5816)	Prec@1 39.000 (37.109)	Prec@5 65.000 (67.978)
Epoch: [12][5160/9018]	Time 0.726 (0.613)	Data 0.001 (0.001)	Loss 2.8248 (2.5818)	Prec@1 34.500 (37.107)	Prec@5 65.500 (67.978)
Epoch: [12][5170/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 2.6944 (2.5818)	Prec@1 37.500 (37.105)	Prec@5 67.500 (67.976)
Epoch: [12][5180/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 2.5449 (2.5817)	Prec@1 38.000 (37.109)	Prec@5 67.500 (67.979)
Epoch: [12][5190/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.4006 (2.5816)	Prec@1 39.000 (37.112)	Prec@5 73.500 (67.979)
Epoch: [12][5200/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 2.5120 (2.5816)	Prec@1 35.500 (37.111)	Prec@5 71.000 (67.982)
Epoch: [12][5210/9018]	Time 0.751 (0.613)	Data 0.001 (0.001)	Loss 2.5619 (2.5817)	Prec@1 41.000 (37.108)	Prec@5 69.000 (67.983)
Epoch: [12][5220/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.7429 (2.5818)	Prec@1 33.500 (37.107)	Prec@5 63.000 (67.981)
Epoch: [12][5230/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.7775 (2.5819)	Prec@1 35.500 (37.105)	Prec@5 61.000 (67.976)
Epoch: [12][5240/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.4320 (2.5818)	Prec@1 37.000 (37.106)	Prec@5 71.500 (67.979)
Epoch: [12][5250/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.5819 (2.5818)	Prec@1 43.500 (37.106)	Prec@5 68.500 (67.980)
Epoch: [12][5260/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.3740 (2.5819)	Prec@1 39.500 (37.108)	Prec@5 69.500 (67.979)
Epoch: [12][5270/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6106 (2.5817)	Prec@1 31.500 (37.107)	Prec@5 69.500 (67.983)
Epoch: [12][5280/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 2.6734 (2.5818)	Prec@1 31.500 (37.107)	Prec@5 67.500 (67.982)
Epoch: [12][5290/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 2.4852 (2.5818)	Prec@1 40.500 (37.108)	Prec@5 69.500 (67.982)
Epoch: [12][5300/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.5825 (2.5818)	Prec@1 41.000 (37.107)	Prec@5 66.500 (67.981)
Epoch: [12][5310/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 2.5832 (2.5818)	Prec@1 36.000 (37.106)	Prec@5 66.500 (67.980)
Epoch: [12][5320/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.5578 (2.5818)	Prec@1 36.000 (37.109)	Prec@5 70.000 (67.978)
Epoch: [12][5330/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.5775 (2.5819)	Prec@1 38.000 (37.109)	Prec@5 67.500 (67.977)
Epoch: [12][5340/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.7952 (2.5819)	Prec@1 36.000 (37.108)	Prec@5 64.000 (67.976)
Epoch: [12][5350/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.8902 (2.5820)	Prec@1 29.500 (37.108)	Prec@5 61.000 (67.976)
Epoch: [12][5360/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.5372 (2.5819)	Prec@1 35.000 (37.109)	Prec@5 67.000 (67.979)
Epoch: [12][5370/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.6310 (2.5819)	Prec@1 33.500 (37.106)	Prec@5 70.000 (67.980)
Epoch: [12][5380/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.3797 (2.5819)	Prec@1 40.500 (37.107)	Prec@5 70.500 (67.981)
Epoch: [12][5390/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.7289 (2.5819)	Prec@1 38.000 (37.107)	Prec@5 64.000 (67.982)
Epoch: [12][5400/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.5395 (2.5819)	Prec@1 38.000 (37.109)	Prec@5 70.000 (67.981)
Epoch: [12][5410/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.5943 (2.5820)	Prec@1 39.500 (37.110)	Prec@5 66.500 (67.980)
Epoch: [12][5420/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.5712 (2.5820)	Prec@1 35.500 (37.111)	Prec@5 68.500 (67.978)
Epoch: [12][5430/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.4804 (2.5820)	Prec@1 39.000 (37.114)	Prec@5 70.000 (67.978)
Epoch: [12][5440/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.6291 (2.5820)	Prec@1 35.000 (37.113)	Prec@5 65.500 (67.979)
Epoch: [12][5450/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 2.5379 (2.5820)	Prec@1 40.500 (37.114)	Prec@5 69.000 (67.980)
Epoch: [12][5460/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 2.6041 (2.5821)	Prec@1 36.500 (37.112)	Prec@5 65.500 (67.979)
Epoch: [12][5470/9018]	Time 0.588 (0.614)	Data 0.001 (0.001)	Loss 2.6998 (2.5821)	Prec@1 37.000 (37.113)	Prec@5 67.000 (67.976)
Epoch: [12][5480/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.4554 (2.5821)	Prec@1 38.000 (37.113)	Prec@5 67.000 (67.975)
Epoch: [12][5490/9018]	Time 0.737 (0.614)	Data 0.001 (0.001)	Loss 2.6713 (2.5821)	Prec@1 38.000 (37.111)	Prec@5 69.500 (67.978)
Epoch: [12][5500/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 2.8058 (2.5821)	Prec@1 35.000 (37.114)	Prec@5 63.500 (67.977)
Epoch: [12][5510/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.5349 (2.5822)	Prec@1 37.500 (37.116)	Prec@5 70.000 (67.978)
Epoch: [12][5520/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.4845 (2.5821)	Prec@1 34.000 (37.116)	Prec@5 70.000 (67.978)
Epoch: [12][5530/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.4733 (2.5822)	Prec@1 38.000 (37.116)	Prec@5 67.000 (67.978)
Epoch: [12][5540/9018]	Time 0.733 (0.614)	Data 0.001 (0.001)	Loss 2.3001 (2.5820)	Prec@1 41.000 (37.121)	Prec@5 68.000 (67.980)
Epoch: [12][5550/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.6737 (2.5820)	Prec@1 36.000 (37.123)	Prec@5 64.500 (67.979)
Epoch: [12][5560/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.4911 (2.5820)	Prec@1 37.000 (37.124)	Prec@5 70.500 (67.979)
Epoch: [12][5570/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.6517 (2.5821)	Prec@1 34.000 (37.121)	Prec@5 69.000 (67.978)
Epoch: [12][5580/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.7746 (2.5820)	Prec@1 34.000 (37.122)	Prec@5 65.500 (67.978)
Epoch: [12][5590/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.3975 (2.5820)	Prec@1 44.000 (37.123)	Prec@5 68.500 (67.978)
Epoch: [12][5600/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.5575 (2.5821)	Prec@1 34.500 (37.122)	Prec@5 71.000 (67.974)
Epoch: [12][5610/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.3099 (2.5821)	Prec@1 43.500 (37.127)	Prec@5 72.500 (67.975)
Epoch: [12][5620/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.5378 (2.5820)	Prec@1 39.500 (37.131)	Prec@5 73.500 (67.977)
Epoch: [12][5630/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.5638 (2.5819)	Prec@1 34.500 (37.130)	Prec@5 65.500 (67.978)
Epoch: [12][5640/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.5320 (2.5819)	Prec@1 37.000 (37.131)	Prec@5 67.500 (67.978)
Epoch: [12][5650/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.5955 (2.5821)	Prec@1 39.500 (37.127)	Prec@5 68.500 (67.975)
Epoch: [12][5660/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.6287 (2.5821)	Prec@1 42.500 (37.128)	Prec@5 66.500 (67.974)
Epoch: [12][5670/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.7054 (2.5822)	Prec@1 33.500 (37.127)	Prec@5 67.500 (67.974)
Epoch: [12][5680/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.4588 (2.5823)	Prec@1 41.500 (37.127)	Prec@5 70.500 (67.971)
Epoch: [12][5690/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.5756 (2.5822)	Prec@1 40.000 (37.127)	Prec@5 63.500 (67.971)
Epoch: [12][5700/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.4327 (2.5822)	Prec@1 38.000 (37.129)	Prec@5 71.000 (67.970)
Epoch: [12][5710/9018]	Time 0.589 (0.614)	Data 0.001 (0.001)	Loss 2.5519 (2.5822)	Prec@1 38.000 (37.130)	Prec@5 68.000 (67.970)
Epoch: [12][5720/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.7263 (2.5823)	Prec@1 34.000 (37.129)	Prec@5 64.500 (67.967)
Epoch: [12][5730/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.6310 (2.5824)	Prec@1 34.000 (37.127)	Prec@5 64.000 (67.965)
Epoch: [12][5740/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.7887 (2.5824)	Prec@1 35.000 (37.125)	Prec@5 64.000 (67.965)
Epoch: [12][5750/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.6740 (2.5824)	Prec@1 37.500 (37.125)	Prec@5 66.500 (67.965)
Epoch: [12][5760/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.6962 (2.5825)	Prec@1 36.000 (37.124)	Prec@5 63.500 (67.959)
Epoch: [12][5770/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.8002 (2.5827)	Prec@1 33.500 (37.122)	Prec@5 64.000 (67.957)
Epoch: [12][5780/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.4064 (2.5826)	Prec@1 42.500 (37.124)	Prec@5 70.500 (67.959)
Epoch: [12][5790/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.5344 (2.5827)	Prec@1 42.500 (37.126)	Prec@5 69.000 (67.958)
Epoch: [12][5800/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.5458 (2.5827)	Prec@1 36.500 (37.126)	Prec@5 71.500 (67.958)
Epoch: [12][5810/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.7638 (2.5827)	Prec@1 35.000 (37.125)	Prec@5 63.500 (67.959)
Epoch: [12][5820/9018]	Time 0.732 (0.614)	Data 0.001 (0.001)	Loss 2.6590 (2.5827)	Prec@1 37.000 (37.126)	Prec@5 66.500 (67.960)
Epoch: [12][5830/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.5121 (2.5828)	Prec@1 39.000 (37.124)	Prec@5 67.500 (67.957)
Epoch: [12][5840/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.8599 (2.5828)	Prec@1 28.500 (37.123)	Prec@5 64.000 (67.958)
Epoch: [12][5850/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 2.6839 (2.5827)	Prec@1 37.500 (37.124)	Prec@5 67.000 (67.960)
Epoch: [12][5860/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.5537 (2.5827)	Prec@1 38.000 (37.125)	Prec@5 66.000 (67.960)
Epoch: [12][5870/9018]	Time 0.724 (0.614)	Data 0.001 (0.001)	Loss 2.6672 (2.5828)	Prec@1 36.500 (37.126)	Prec@5 68.000 (67.959)
Epoch: [12][5880/9018]	Time 0.633 (0.614)	Data 0.001 (0.001)	Loss 2.5187 (2.5828)	Prec@1 39.000 (37.125)	Prec@5 69.000 (67.958)
Epoch: [12][5890/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 2.6859 (2.5829)	Prec@1 36.000 (37.123)	Prec@5 66.500 (67.957)
Epoch: [12][5900/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6347 (2.5829)	Prec@1 38.500 (37.123)	Prec@5 67.500 (67.957)
Epoch: [12][5910/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.3692 (2.5830)	Prec@1 38.500 (37.123)	Prec@5 69.000 (67.957)
Epoch: [12][5920/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.8078 (2.5830)	Prec@1 34.000 (37.123)	Prec@5 64.500 (67.956)
Epoch: [12][5930/9018]	Time 0.637 (0.614)	Data 0.001 (0.001)	Loss 2.6710 (2.5830)	Prec@1 41.000 (37.123)	Prec@5 64.000 (67.954)
Epoch: [12][5940/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.4238 (2.5828)	Prec@1 40.500 (37.124)	Prec@5 67.000 (67.957)
Epoch: [12][5950/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.6830 (2.5828)	Prec@1 36.000 (37.125)	Prec@5 66.000 (67.955)
Epoch: [12][5960/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.6604 (2.5827)	Prec@1 34.000 (37.125)	Prec@5 67.500 (67.957)
Epoch: [12][5970/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.7365 (2.5828)	Prec@1 38.000 (37.125)	Prec@5 66.000 (67.955)
Epoch: [12][5980/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.7327 (2.5828)	Prec@1 34.000 (37.125)	Prec@5 65.500 (67.956)
Epoch: [12][5990/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.4777 (2.5827)	Prec@1 40.500 (37.128)	Prec@5 68.500 (67.956)
Epoch: [12][6000/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.2707 (2.5827)	Prec@1 41.500 (37.129)	Prec@5 69.000 (67.955)
Epoch: [12][6010/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.4540 (2.5827)	Prec@1 38.500 (37.127)	Prec@5 68.000 (67.954)
Epoch: [12][6020/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.6136 (2.5827)	Prec@1 34.500 (37.127)	Prec@5 67.500 (67.953)
Epoch: [12][6030/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.5666 (2.5827)	Prec@1 40.500 (37.126)	Prec@5 66.500 (67.952)
Epoch: [12][6040/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.6160 (2.5828)	Prec@1 34.500 (37.126)	Prec@5 66.000 (67.950)
Epoch: [12][6050/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.5551 (2.5826)	Prec@1 37.500 (37.127)	Prec@5 69.500 (67.956)
Epoch: [12][6060/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.4328 (2.5827)	Prec@1 44.500 (37.127)	Prec@5 70.000 (67.954)
Epoch: [12][6070/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.3100 (2.5828)	Prec@1 42.500 (37.124)	Prec@5 70.000 (67.951)
Epoch: [12][6080/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.6405 (2.5827)	Prec@1 34.500 (37.123)	Prec@5 67.500 (67.952)
Epoch: [12][6090/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.7305 (2.5829)	Prec@1 37.000 (37.121)	Prec@5 63.500 (67.951)
Epoch: [12][6100/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.6517 (2.5830)	Prec@1 35.000 (37.119)	Prec@5 64.500 (67.950)
Epoch: [12][6110/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.6070 (2.5831)	Prec@1 40.000 (37.117)	Prec@5 68.000 (67.948)
Epoch: [12][6120/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6451 (2.5830)	Prec@1 36.000 (37.116)	Prec@5 66.500 (67.948)
Epoch: [12][6130/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 2.4950 (2.5830)	Prec@1 43.000 (37.117)	Prec@5 71.000 (67.951)
Epoch: [12][6140/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.7794 (2.5831)	Prec@1 32.500 (37.118)	Prec@5 65.000 (67.951)
Epoch: [12][6150/9018]	Time 0.754 (0.614)	Data 0.001 (0.001)	Loss 2.3865 (2.5830)	Prec@1 43.000 (37.119)	Prec@5 72.000 (67.950)
Epoch: [12][6160/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.6878 (2.5830)	Prec@1 32.000 (37.120)	Prec@5 67.500 (67.952)
Epoch: [12][6170/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.6095 (2.5829)	Prec@1 39.000 (37.121)	Prec@5 66.500 (67.953)
Epoch: [12][6180/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 2.5252 (2.5830)	Prec@1 36.000 (37.120)	Prec@5 71.500 (67.952)
Epoch: [12][6190/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.6505 (2.5830)	Prec@1 42.500 (37.120)	Prec@5 63.000 (67.950)
Epoch: [12][6200/9018]	Time 0.716 (0.614)	Data 0.001 (0.001)	Loss 2.4488 (2.5829)	Prec@1 37.000 (37.123)	Prec@5 73.000 (67.953)
Epoch: [12][6210/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.7628 (2.5829)	Prec@1 35.000 (37.121)	Prec@5 63.500 (67.953)
Epoch: [12][6220/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.2784 (2.5828)	Prec@1 42.000 (37.124)	Prec@5 76.500 (67.955)
Epoch: [12][6230/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.5312 (2.5827)	Prec@1 36.500 (37.125)	Prec@5 69.000 (67.957)
Epoch: [12][6240/9018]	Time 0.617 (0.614)	Data 0.001 (0.001)	Loss 2.6079 (2.5828)	Prec@1 33.000 (37.122)	Prec@5 66.500 (67.955)
Epoch: [12][6250/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.5435 (2.5828)	Prec@1 41.500 (37.124)	Prec@5 68.500 (67.958)
Epoch: [12][6260/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.7721 (2.5827)	Prec@1 31.000 (37.126)	Prec@5 66.000 (67.958)
Epoch: [12][6270/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.2619 (2.5826)	Prec@1 41.000 (37.126)	Prec@5 75.500 (67.958)
Epoch: [12][6280/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.5174 (2.5827)	Prec@1 41.000 (37.126)	Prec@5 68.500 (67.958)
Epoch: [12][6290/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.3740 (2.5826)	Prec@1 46.000 (37.129)	Prec@5 70.500 (67.960)
Epoch: [12][6300/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.5978 (2.5826)	Prec@1 34.000 (37.128)	Prec@5 64.000 (67.961)
Epoch: [12][6310/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.6257 (2.5826)	Prec@1 35.500 (37.127)	Prec@5 69.500 (67.958)
Epoch: [12][6320/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.8296 (2.5827)	Prec@1 33.000 (37.124)	Prec@5 64.500 (67.957)
Epoch: [12][6330/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.6702 (2.5828)	Prec@1 36.500 (37.124)	Prec@5 69.000 (67.958)
Epoch: [12][6340/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.7374 (2.5827)	Prec@1 31.500 (37.124)	Prec@5 63.500 (67.958)
Epoch: [12][6350/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.4481 (2.5827)	Prec@1 39.500 (37.125)	Prec@5 70.500 (67.959)
Epoch: [12][6360/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.3463 (2.5828)	Prec@1 45.500 (37.124)	Prec@5 71.500 (67.957)
Epoch: [12][6370/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.4742 (2.5828)	Prec@1 42.500 (37.123)	Prec@5 71.000 (67.957)
Epoch: [12][6380/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.6811 (2.5828)	Prec@1 33.000 (37.122)	Prec@5 67.000 (67.956)
Epoch: [12][6390/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.8366 (2.5830)	Prec@1 30.500 (37.119)	Prec@5 67.000 (67.954)
Epoch: [12][6400/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.6164 (2.5831)	Prec@1 39.500 (37.117)	Prec@5 65.000 (67.951)
Epoch: [12][6410/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.5264 (2.5831)	Prec@1 39.000 (37.118)	Prec@5 66.500 (67.950)
Epoch: [12][6420/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.3202 (2.5831)	Prec@1 45.500 (37.119)	Prec@5 74.000 (67.952)
Epoch: [12][6430/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.6438 (2.5831)	Prec@1 32.500 (37.116)	Prec@5 65.500 (67.951)
Epoch: [12][6440/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.6869 (2.5831)	Prec@1 35.500 (37.115)	Prec@5 67.500 (67.953)
Epoch: [12][6450/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.5841 (2.5832)	Prec@1 38.500 (37.114)	Prec@5 68.000 (67.952)
Epoch: [12][6460/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 2.8363 (2.5832)	Prec@1 31.000 (37.114)	Prec@5 65.500 (67.950)
Epoch: [12][6470/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.5451 (2.5832)	Prec@1 36.000 (37.115)	Prec@5 68.500 (67.951)
Epoch: [12][6480/9018]	Time 0.749 (0.614)	Data 0.001 (0.001)	Loss 2.7841 (2.5831)	Prec@1 35.000 (37.115)	Prec@5 61.500 (67.952)
Epoch: [12][6490/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.5578 (2.5831)	Prec@1 36.500 (37.116)	Prec@5 68.000 (67.953)
Epoch: [12][6500/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6848 (2.5832)	Prec@1 39.000 (37.114)	Prec@5 67.500 (67.954)
Epoch: [12][6510/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.7134 (2.5830)	Prec@1 34.000 (37.116)	Prec@5 64.500 (67.958)
Epoch: [12][6520/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.3985 (2.5829)	Prec@1 37.500 (37.118)	Prec@5 72.000 (67.960)
Epoch: [12][6530/9018]	Time 0.735 (0.614)	Data 0.001 (0.001)	Loss 2.6679 (2.5828)	Prec@1 35.500 (37.119)	Prec@5 61.500 (67.959)
Epoch: [12][6540/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 2.5545 (2.5828)	Prec@1 34.500 (37.120)	Prec@5 70.500 (67.958)
Epoch: [12][6550/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.5943 (2.5828)	Prec@1 40.000 (37.120)	Prec@5 65.500 (67.958)
Epoch: [12][6560/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 2.6615 (2.5828)	Prec@1 38.500 (37.119)	Prec@5 66.500 (67.959)
Epoch: [12][6570/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.7062 (2.5830)	Prec@1 38.500 (37.116)	Prec@5 66.000 (67.956)
Epoch: [12][6580/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.6910 (2.5830)	Prec@1 34.500 (37.117)	Prec@5 69.000 (67.957)
Epoch: [12][6590/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.6459 (2.5830)	Prec@1 35.000 (37.117)	Prec@5 66.000 (67.958)
Epoch: [12][6600/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.6501 (2.5831)	Prec@1 37.000 (37.116)	Prec@5 66.500 (67.956)
Epoch: [12][6610/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.4689 (2.5830)	Prec@1 40.000 (37.118)	Prec@5 68.000 (67.958)
Epoch: [12][6620/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 3.0259 (2.5831)	Prec@1 27.500 (37.116)	Prec@5 59.500 (67.956)
Epoch: [12][6630/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.5451 (2.5831)	Prec@1 35.500 (37.116)	Prec@5 66.000 (67.956)
Epoch: [12][6640/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 2.5136 (2.5832)	Prec@1 40.500 (37.115)	Prec@5 69.000 (67.956)
Epoch: [12][6650/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.5722 (2.5832)	Prec@1 36.500 (37.113)	Prec@5 66.500 (67.954)
Epoch: [12][6660/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.6923 (2.5833)	Prec@1 33.500 (37.112)	Prec@5 65.500 (67.951)
Epoch: [12][6670/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.6864 (2.5833)	Prec@1 36.000 (37.113)	Prec@5 70.000 (67.951)
Epoch: [12][6680/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.7188 (2.5832)	Prec@1 34.500 (37.114)	Prec@5 65.000 (67.951)
Epoch: [12][6690/9018]	Time 0.636 (0.614)	Data 0.001 (0.001)	Loss 2.5946 (2.5832)	Prec@1 36.500 (37.115)	Prec@5 62.000 (67.953)
Epoch: [12][6700/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.5177 (2.5831)	Prec@1 39.000 (37.118)	Prec@5 67.500 (67.953)
Epoch: [12][6710/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.6362 (2.5832)	Prec@1 34.000 (37.117)	Prec@5 65.000 (67.952)
Epoch: [12][6720/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.7163 (2.5832)	Prec@1 34.500 (37.120)	Prec@5 64.000 (67.952)
Epoch: [12][6730/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.6732 (2.5832)	Prec@1 35.000 (37.121)	Prec@5 65.500 (67.952)
Epoch: [12][6740/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 2.5547 (2.5831)	Prec@1 38.500 (37.122)	Prec@5 67.500 (67.952)
Epoch: [12][6750/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.6756 (2.5832)	Prec@1 40.000 (37.121)	Prec@5 64.000 (67.951)
Epoch: [12][6760/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.6667 (2.5833)	Prec@1 34.500 (37.120)	Prec@5 64.000 (67.950)
Epoch: [12][6770/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.4292 (2.5832)	Prec@1 38.500 (37.120)	Prec@5 71.500 (67.950)
Epoch: [12][6780/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.8669 (2.5833)	Prec@1 33.000 (37.118)	Prec@5 67.000 (67.949)
Epoch: [12][6790/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.6072 (2.5833)	Prec@1 36.500 (37.116)	Prec@5 71.000 (67.950)
Epoch: [12][6800/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.5603 (2.5835)	Prec@1 38.000 (37.114)	Prec@5 70.500 (67.948)
Epoch: [12][6810/9018]	Time 0.718 (0.614)	Data 0.001 (0.001)	Loss 2.6517 (2.5834)	Prec@1 32.500 (37.115)	Prec@5 64.000 (67.949)
Epoch: [12][6820/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.5426 (2.5834)	Prec@1 38.000 (37.115)	Prec@5 69.500 (67.951)
Epoch: [12][6830/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.7652 (2.5835)	Prec@1 36.500 (37.115)	Prec@5 65.500 (67.949)
Epoch: [12][6840/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.6023 (2.5835)	Prec@1 35.500 (37.117)	Prec@5 65.000 (67.950)
Epoch: [12][6850/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.4976 (2.5835)	Prec@1 37.500 (37.119)	Prec@5 68.000 (67.948)
Epoch: [12][6860/9018]	Time 0.721 (0.614)	Data 0.001 (0.001)	Loss 2.6041 (2.5834)	Prec@1 38.000 (37.120)	Prec@5 67.500 (67.951)
Epoch: [12][6870/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.6757 (2.5835)	Prec@1 35.000 (37.121)	Prec@5 64.500 (67.951)
Epoch: [12][6880/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.5956 (2.5835)	Prec@1 35.500 (37.120)	Prec@5 71.500 (67.949)
Epoch: [12][6890/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 2.6683 (2.5835)	Prec@1 43.000 (37.120)	Prec@5 68.000 (67.947)
Epoch: [12][6900/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.6650 (2.5836)	Prec@1 33.000 (37.118)	Prec@5 68.000 (67.945)
Epoch: [12][6910/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.7831 (2.5835)	Prec@1 33.500 (37.118)	Prec@5 66.500 (67.947)
Epoch: [12][6920/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 2.7338 (2.5835)	Prec@1 39.000 (37.118)	Prec@5 66.000 (67.944)
Epoch: [12][6930/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.5037 (2.5836)	Prec@1 34.000 (37.116)	Prec@5 71.000 (67.944)
Epoch: [12][6940/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.7614 (2.5837)	Prec@1 29.500 (37.115)	Prec@5 63.000 (67.940)
Epoch: [12][6950/9018]	Time 0.603 (0.614)	Data 0.003 (0.001)	Loss 2.6795 (2.5837)	Prec@1 35.000 (37.117)	Prec@5 66.000 (67.939)
Epoch: [12][6960/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.5926 (2.5837)	Prec@1 38.000 (37.119)	Prec@5 67.000 (67.939)
Epoch: [12][6970/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.6804 (2.5837)	Prec@1 32.500 (37.119)	Prec@5 64.500 (67.937)
Epoch: [12][6980/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.6620 (2.5838)	Prec@1 29.000 (37.119)	Prec@5 65.000 (67.937)
Epoch: [12][6990/9018]	Time 0.638 (0.614)	Data 0.001 (0.001)	Loss 2.5686 (2.5839)	Prec@1 39.500 (37.118)	Prec@5 69.000 (67.933)
Epoch: [12][7000/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.5518 (2.5838)	Prec@1 34.500 (37.119)	Prec@5 68.500 (67.934)
Epoch: [12][7010/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.5840 (2.5839)	Prec@1 38.000 (37.117)	Prec@5 68.500 (67.931)
Epoch: [12][7020/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.6123 (2.5839)	Prec@1 37.000 (37.119)	Prec@5 68.000 (67.931)
Epoch: [12][7030/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.5002 (2.5838)	Prec@1 41.500 (37.122)	Prec@5 69.500 (67.934)
Epoch: [12][7040/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.4296 (2.5837)	Prec@1 39.000 (37.123)	Prec@5 71.000 (67.935)
Epoch: [12][7050/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 2.3850 (2.5838)	Prec@1 42.000 (37.122)	Prec@5 71.500 (67.934)
Epoch: [12][7060/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.7883 (2.5838)	Prec@1 36.000 (37.121)	Prec@5 63.000 (67.933)
Epoch: [12][7070/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.6593 (2.5838)	Prec@1 36.500 (37.120)	Prec@5 65.000 (67.933)
Epoch: [12][7080/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.6229 (2.5838)	Prec@1 36.500 (37.122)	Prec@5 66.000 (67.934)
Epoch: [12][7090/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.4313 (2.5838)	Prec@1 37.000 (37.122)	Prec@5 69.000 (67.934)
Epoch: [12][7100/9018]	Time 0.588 (0.614)	Data 0.001 (0.001)	Loss 2.5139 (2.5838)	Prec@1 38.000 (37.120)	Prec@5 69.500 (67.934)
Epoch: [12][7110/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.7138 (2.5838)	Prec@1 29.000 (37.120)	Prec@5 66.500 (67.934)
Epoch: [12][7120/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.5603 (2.5838)	Prec@1 36.000 (37.121)	Prec@5 68.500 (67.935)
Epoch: [12][7130/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.5077 (2.5837)	Prec@1 35.500 (37.123)	Prec@5 68.500 (67.937)
Epoch: [12][7140/9018]	Time 0.728 (0.614)	Data 0.001 (0.001)	Loss 2.4347 (2.5837)	Prec@1 39.500 (37.124)	Prec@5 69.500 (67.936)
Epoch: [12][7150/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.3999 (2.5836)	Prec@1 43.500 (37.126)	Prec@5 70.500 (67.936)
Epoch: [12][7160/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.4972 (2.5836)	Prec@1 38.000 (37.126)	Prec@5 71.000 (67.937)
Epoch: [12][7170/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.6508 (2.5835)	Prec@1 38.500 (37.126)	Prec@5 66.000 (67.940)
Epoch: [12][7180/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.6104 (2.5834)	Prec@1 32.500 (37.128)	Prec@5 70.000 (67.940)
Epoch: [12][7190/9018]	Time 0.722 (0.614)	Data 0.001 (0.001)	Loss 2.8165 (2.5834)	Prec@1 33.500 (37.127)	Prec@5 61.000 (67.942)
Epoch: [12][7200/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.5760 (2.5834)	Prec@1 39.500 (37.125)	Prec@5 67.000 (67.941)
Epoch: [12][7210/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.6730 (2.5835)	Prec@1 29.500 (37.122)	Prec@5 65.000 (67.937)
Epoch: [12][7220/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.6635 (2.5836)	Prec@1 34.500 (37.119)	Prec@5 68.000 (67.935)
Epoch: [12][7230/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.5767 (2.5837)	Prec@1 38.000 (37.118)	Prec@5 70.000 (67.935)
Epoch: [12][7240/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.6091 (2.5837)	Prec@1 35.000 (37.118)	Prec@5 70.000 (67.935)
Epoch: [12][7250/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 2.8300 (2.5837)	Prec@1 33.500 (37.118)	Prec@5 62.500 (67.934)
Epoch: [12][7260/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.6440 (2.5837)	Prec@1 40.500 (37.117)	Prec@5 63.500 (67.932)
Epoch: [12][7270/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.7430 (2.5837)	Prec@1 34.000 (37.117)	Prec@5 64.500 (67.933)
Epoch: [12][7280/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.5736 (2.5837)	Prec@1 41.000 (37.120)	Prec@5 69.000 (67.933)
Epoch: [12][7290/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.5261 (2.5838)	Prec@1 37.000 (37.120)	Prec@5 72.000 (67.932)
Epoch: [12][7300/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 2.6708 (2.5838)	Prec@1 37.500 (37.120)	Prec@5 65.500 (67.932)
Epoch: [12][7310/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.3382 (2.5838)	Prec@1 41.500 (37.121)	Prec@5 74.500 (67.932)
Epoch: [12][7320/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.4851 (2.5837)	Prec@1 38.000 (37.125)	Prec@5 69.500 (67.933)
Epoch: [12][7330/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.5394 (2.5836)	Prec@1 35.500 (37.124)	Prec@5 66.000 (67.933)
Epoch: [12][7340/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.6596 (2.5837)	Prec@1 34.000 (37.125)	Prec@5 66.000 (67.933)
Epoch: [12][7350/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 2.5366 (2.5837)	Prec@1 43.500 (37.125)	Prec@5 67.000 (67.933)
Epoch: [12][7360/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.3825 (2.5835)	Prec@1 37.500 (37.129)	Prec@5 71.000 (67.937)
Epoch: [12][7370/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.6695 (2.5836)	Prec@1 36.000 (37.128)	Prec@5 67.000 (67.936)
Epoch: [12][7380/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 2.5203 (2.5836)	Prec@1 37.500 (37.128)	Prec@5 71.500 (67.936)
Epoch: [12][7390/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 2.9600 (2.5836)	Prec@1 32.500 (37.130)	Prec@5 60.000 (67.936)
Epoch: [12][7400/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.7890 (2.5837)	Prec@1 37.000 (37.130)	Prec@5 64.000 (67.935)
Epoch: [12][7410/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.6095 (2.5837)	Prec@1 37.000 (37.130)	Prec@5 67.500 (67.934)
Epoch: [12][7420/9018]	Time 0.637 (0.614)	Data 0.001 (0.001)	Loss 2.4759 (2.5837)	Prec@1 46.000 (37.130)	Prec@5 69.500 (67.933)
Epoch: [12][7430/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.7257 (2.5837)	Prec@1 35.000 (37.132)	Prec@5 64.000 (67.933)
Epoch: [12][7440/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.6044 (2.5837)	Prec@1 39.500 (37.131)	Prec@5 66.500 (67.931)
Epoch: [12][7450/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.5990 (2.5837)	Prec@1 37.500 (37.132)	Prec@5 66.500 (67.932)
Epoch: [12][7460/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.5219 (2.5838)	Prec@1 37.000 (37.130)	Prec@5 72.000 (67.930)
Epoch: [12][7470/9018]	Time 0.720 (0.614)	Data 0.001 (0.001)	Loss 2.5006 (2.5837)	Prec@1 36.500 (37.131)	Prec@5 71.500 (67.933)
Epoch: [12][7480/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.6252 (2.5837)	Prec@1 37.000 (37.130)	Prec@5 69.000 (67.934)
Epoch: [12][7490/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.4648 (2.5837)	Prec@1 39.500 (37.131)	Prec@5 68.500 (67.934)
Epoch: [12][7500/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.6423 (2.5836)	Prec@1 36.500 (37.132)	Prec@5 68.500 (67.936)
Epoch: [12][7510/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.4642 (2.5837)	Prec@1 39.500 (37.131)	Prec@5 70.500 (67.935)
Epoch: [12][7520/9018]	Time 0.730 (0.614)	Data 0.001 (0.001)	Loss 2.6437 (2.5837)	Prec@1 35.500 (37.129)	Prec@5 67.500 (67.936)
Epoch: [12][7530/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.5679 (2.5837)	Prec@1 37.000 (37.129)	Prec@5 67.500 (67.937)
Epoch: [12][7540/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.4400 (2.5837)	Prec@1 36.000 (37.128)	Prec@5 71.500 (67.938)
Epoch: [12][7550/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 2.6097 (2.5837)	Prec@1 33.000 (37.127)	Prec@5 69.000 (67.938)
Epoch: [12][7560/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.5084 (2.5836)	Prec@1 36.500 (37.129)	Prec@5 71.500 (67.938)
Epoch: [12][7570/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.5941 (2.5837)	Prec@1 35.000 (37.128)	Prec@5 72.000 (67.939)
Epoch: [12][7580/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.5449 (2.5836)	Prec@1 40.000 (37.131)	Prec@5 68.500 (67.939)
Epoch: [12][7590/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 2.5424 (2.5836)	Prec@1 37.000 (37.129)	Prec@5 68.500 (67.939)
Epoch: [12][7600/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6896 (2.5836)	Prec@1 37.500 (37.128)	Prec@5 66.000 (67.939)
Epoch: [12][7610/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.4754 (2.5837)	Prec@1 35.000 (37.128)	Prec@5 70.000 (67.937)
Epoch: [12][7620/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.4583 (2.5836)	Prec@1 37.000 (37.127)	Prec@5 70.500 (67.938)
Epoch: [12][7630/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.3741 (2.5836)	Prec@1 45.000 (37.129)	Prec@5 72.000 (67.939)
Epoch: [12][7640/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 2.6148 (2.5836)	Prec@1 36.000 (37.129)	Prec@5 69.000 (67.938)
Epoch: [12][7650/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.4907 (2.5836)	Prec@1 39.500 (37.128)	Prec@5 70.000 (67.936)
Epoch: [12][7660/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 2.5929 (2.5836)	Prec@1 35.000 (37.130)	Prec@5 67.000 (67.935)
Epoch: [12][7670/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 2.5653 (2.5836)	Prec@1 37.500 (37.128)	Prec@5 66.500 (67.935)
Epoch: [12][7680/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.7550 (2.5837)	Prec@1 36.000 (37.125)	Prec@5 64.000 (67.933)
Epoch: [12][7690/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.4830 (2.5837)	Prec@1 40.000 (37.126)	Prec@5 70.500 (67.933)
Epoch: [12][7700/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.6768 (2.5836)	Prec@1 35.500 (37.128)	Prec@5 66.000 (67.935)
Epoch: [12][7710/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 2.5445 (2.5836)	Prec@1 37.500 (37.128)	Prec@5 70.500 (67.936)
Epoch: [12][7720/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.6249 (2.5835)	Prec@1 36.500 (37.130)	Prec@5 67.500 (67.938)
Epoch: [12][7730/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.5741 (2.5836)	Prec@1 40.000 (37.128)	Prec@5 69.000 (67.938)
Epoch: [12][7740/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.5199 (2.5837)	Prec@1 36.000 (37.126)	Prec@5 70.000 (67.936)
Epoch: [12][7750/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.7756 (2.5837)	Prec@1 36.500 (37.126)	Prec@5 63.000 (67.934)
Epoch: [12][7760/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.4983 (2.5837)	Prec@1 39.500 (37.126)	Prec@5 70.500 (67.935)
Epoch: [12][7770/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.5706 (2.5837)	Prec@1 37.500 (37.127)	Prec@5 67.500 (67.935)
Epoch: [12][7780/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.5488 (2.5836)	Prec@1 37.500 (37.127)	Prec@5 69.000 (67.937)
Epoch: [12][7790/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.4647 (2.5836)	Prec@1 41.500 (37.127)	Prec@5 70.000 (67.938)
Epoch: [12][7800/9018]	Time 0.735 (0.614)	Data 0.001 (0.001)	Loss 2.3757 (2.5835)	Prec@1 37.500 (37.129)	Prec@5 74.000 (67.940)
Epoch: [12][7810/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.4646 (2.5835)	Prec@1 40.500 (37.127)	Prec@5 71.000 (67.938)
Epoch: [12][7820/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.5991 (2.5834)	Prec@1 36.000 (37.129)	Prec@5 67.500 (67.940)
Epoch: [12][7830/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.6854 (2.5835)	Prec@1 37.000 (37.127)	Prec@5 68.000 (67.939)
Epoch: [12][7840/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.4333 (2.5836)	Prec@1 40.500 (37.129)	Prec@5 68.000 (67.936)
Epoch: [12][7850/9018]	Time 0.710 (0.614)	Data 0.001 (0.001)	Loss 2.7515 (2.5837)	Prec@1 32.500 (37.126)	Prec@5 65.000 (67.933)
Epoch: [12][7860/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.8753 (2.5837)	Prec@1 30.500 (37.125)	Prec@5 63.500 (67.933)
Epoch: [12][7870/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.4127 (2.5837)	Prec@1 41.000 (37.126)	Prec@5 71.500 (67.934)
Epoch: [12][7880/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.7085 (2.5836)	Prec@1 33.000 (37.128)	Prec@5 63.500 (67.933)
Epoch: [12][7890/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.4882 (2.5835)	Prec@1 36.500 (37.131)	Prec@5 68.500 (67.935)
Epoch: [12][7900/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.5309 (2.5835)	Prec@1 35.000 (37.131)	Prec@5 66.500 (67.936)
Epoch: [12][7910/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.7290 (2.5836)	Prec@1 33.500 (37.129)	Prec@5 64.000 (67.933)
Epoch: [12][7920/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.6707 (2.5836)	Prec@1 35.000 (37.129)	Prec@5 66.500 (67.933)
Epoch: [12][7930/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.5785 (2.5837)	Prec@1 36.500 (37.127)	Prec@5 70.500 (67.934)
Epoch: [12][7940/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.7002 (2.5837)	Prec@1 31.500 (37.126)	Prec@5 68.000 (67.936)
Epoch: [12][7950/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.5734 (2.5837)	Prec@1 35.500 (37.125)	Prec@5 69.500 (67.937)
Epoch: [12][7960/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.4467 (2.5837)	Prec@1 43.000 (37.126)	Prec@5 67.500 (67.936)
Epoch: [12][7970/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6128 (2.5837)	Prec@1 35.000 (37.125)	Prec@5 65.500 (67.935)
Epoch: [12][7980/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.4428 (2.5837)	Prec@1 44.500 (37.126)	Prec@5 73.500 (67.936)
Epoch: [12][7990/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.8628 (2.5838)	Prec@1 31.500 (37.125)	Prec@5 60.000 (67.935)
Epoch: [12][8000/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.6525 (2.5838)	Prec@1 38.500 (37.125)	Prec@5 68.500 (67.933)
Epoch: [12][8010/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.5139 (2.5839)	Prec@1 38.000 (37.125)	Prec@5 71.500 (67.932)
Epoch: [12][8020/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.4791 (2.5840)	Prec@1 39.500 (37.122)	Prec@5 70.000 (67.930)
Epoch: [12][8030/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.5032 (2.5839)	Prec@1 36.000 (37.123)	Prec@5 70.000 (67.931)
Epoch: [12][8040/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.6545 (2.5839)	Prec@1 37.000 (37.123)	Prec@5 68.500 (67.930)
Epoch: [12][8050/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.4486 (2.5838)	Prec@1 38.000 (37.124)	Prec@5 68.000 (67.931)
Epoch: [12][8060/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 2.6414 (2.5838)	Prec@1 36.500 (37.126)	Prec@5 64.500 (67.933)
Epoch: [12][8070/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.6400 (2.5838)	Prec@1 38.500 (37.126)	Prec@5 66.000 (67.932)
Epoch: [12][8080/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 2.6556 (2.5838)	Prec@1 34.500 (37.125)	Prec@5 68.500 (67.932)
Epoch: [12][8090/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.5584 (2.5839)	Prec@1 38.500 (37.122)	Prec@5 71.000 (67.932)
Epoch: [12][8100/9018]	Time 0.589 (0.614)	Data 0.001 (0.001)	Loss 2.6489 (2.5838)	Prec@1 32.000 (37.124)	Prec@5 68.500 (67.933)
Epoch: [12][8110/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.5962 (2.5838)	Prec@1 36.000 (37.123)	Prec@5 65.500 (67.932)
Epoch: [12][8120/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.6046 (2.5838)	Prec@1 32.000 (37.123)	Prec@5 66.500 (67.932)
Epoch: [12][8130/9018]	Time 0.725 (0.614)	Data 0.001 (0.001)	Loss 2.4980 (2.5837)	Prec@1 38.500 (37.123)	Prec@5 72.000 (67.932)
Epoch: [12][8140/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.5928 (2.5837)	Prec@1 37.000 (37.122)	Prec@5 65.500 (67.932)
Epoch: [12][8150/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.6010 (2.5836)	Prec@1 37.500 (37.121)	Prec@5 67.500 (67.934)
Epoch: [12][8160/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.4445 (2.5836)	Prec@1 38.000 (37.120)	Prec@5 68.500 (67.933)
Epoch: [12][8170/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.7751 (2.5836)	Prec@1 30.500 (37.120)	Prec@5 59.000 (67.934)
Epoch: [12][8180/9018]	Time 0.732 (0.614)	Data 0.001 (0.001)	Loss 2.5040 (2.5835)	Prec@1 39.500 (37.122)	Prec@5 67.500 (67.935)
Epoch: [12][8190/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.4109 (2.5835)	Prec@1 40.000 (37.123)	Prec@5 73.000 (67.936)
Epoch: [12][8200/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.6195 (2.5836)	Prec@1 35.000 (37.120)	Prec@5 70.000 (67.936)
Epoch: [12][8210/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.5429 (2.5836)	Prec@1 38.500 (37.121)	Prec@5 68.500 (67.935)
Epoch: [12][8220/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.7598 (2.5835)	Prec@1 34.000 (37.121)	Prec@5 66.000 (67.936)
Epoch: [12][8230/9018]	Time 0.637 (0.614)	Data 0.001 (0.001)	Loss 2.3511 (2.5834)	Prec@1 40.500 (37.121)	Prec@5 74.500 (67.939)
Epoch: [12][8240/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.7321 (2.5835)	Prec@1 32.500 (37.119)	Prec@5 62.000 (67.937)
Epoch: [12][8250/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.2378 (2.5836)	Prec@1 45.500 (37.119)	Prec@5 75.000 (67.937)
Epoch: [12][8260/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.3500 (2.5835)	Prec@1 39.500 (37.119)	Prec@5 73.000 (67.938)
Epoch: [12][8270/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.3528 (2.5835)	Prec@1 43.500 (37.120)	Prec@5 70.500 (67.938)
Epoch: [12][8280/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.4390 (2.5836)	Prec@1 40.000 (37.118)	Prec@5 68.000 (67.936)
Epoch: [12][8290/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.5282 (2.5836)	Prec@1 42.500 (37.119)	Prec@5 68.000 (67.937)
Epoch: [12][8300/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.6605 (2.5837)	Prec@1 33.500 (37.117)	Prec@5 67.500 (67.935)
Epoch: [12][8310/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.6976 (2.5837)	Prec@1 38.500 (37.116)	Prec@5 68.000 (67.933)
Epoch: [12][8320/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.7230 (2.5837)	Prec@1 35.500 (37.114)	Prec@5 65.500 (67.933)
Epoch: [12][8330/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.6943 (2.5837)	Prec@1 35.500 (37.116)	Prec@5 62.500 (67.932)
Epoch: [12][8340/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 2.4521 (2.5836)	Prec@1 39.500 (37.117)	Prec@5 70.500 (67.934)
Epoch: [12][8350/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.8598 (2.5836)	Prec@1 35.000 (37.119)	Prec@5 64.000 (67.934)
Epoch: [12][8360/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 2.7186 (2.5836)	Prec@1 29.500 (37.117)	Prec@5 68.500 (67.935)
Epoch: [12][8370/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.7226 (2.5837)	Prec@1 37.500 (37.116)	Prec@5 65.000 (67.934)
Epoch: [12][8380/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.5550 (2.5837)	Prec@1 38.000 (37.116)	Prec@5 67.500 (67.933)
Epoch: [12][8390/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.9004 (2.5839)	Prec@1 36.500 (37.115)	Prec@5 60.000 (67.931)
Epoch: [12][8400/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.4509 (2.5839)	Prec@1 40.500 (37.115)	Prec@5 66.000 (67.927)
Epoch: [12][8410/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.6737 (2.5840)	Prec@1 32.500 (37.114)	Prec@5 65.500 (67.926)
Epoch: [12][8420/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.5773 (2.5840)	Prec@1 37.000 (37.113)	Prec@5 71.500 (67.927)
Epoch: [12][8430/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.4585 (2.5840)	Prec@1 38.000 (37.115)	Prec@5 74.500 (67.929)
Epoch: [12][8440/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.7627 (2.5840)	Prec@1 30.000 (37.113)	Prec@5 64.500 (67.928)
Epoch: [12][8450/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.6092 (2.5840)	Prec@1 41.000 (37.114)	Prec@5 67.500 (67.929)
Epoch: [12][8460/9018]	Time 0.727 (0.614)	Data 0.001 (0.001)	Loss 2.6965 (2.5840)	Prec@1 37.500 (37.116)	Prec@5 62.500 (67.930)
Epoch: [12][8470/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.6422 (2.5840)	Prec@1 38.000 (37.117)	Prec@5 64.500 (67.929)
Epoch: [12][8480/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.6545 (2.5839)	Prec@1 35.000 (37.117)	Prec@5 70.000 (67.929)
Epoch: [12][8490/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.6724 (2.5839)	Prec@1 33.000 (37.121)	Prec@5 65.000 (67.930)
Epoch: [12][8500/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.8614 (2.5839)	Prec@1 28.000 (37.120)	Prec@5 58.000 (67.928)
Epoch: [12][8510/9018]	Time 0.722 (0.614)	Data 0.001 (0.001)	Loss 2.6856 (2.5840)	Prec@1 36.000 (37.119)	Prec@5 68.500 (67.927)
Epoch: [12][8520/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.4622 (2.5840)	Prec@1 42.500 (37.119)	Prec@5 68.000 (67.927)
Epoch: [12][8530/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.7239 (2.5841)	Prec@1 35.500 (37.118)	Prec@5 62.000 (67.924)
Epoch: [12][8540/9018]	Time 0.633 (0.614)	Data 0.001 (0.001)	Loss 2.5272 (2.5841)	Prec@1 38.000 (37.117)	Prec@5 67.000 (67.924)
Epoch: [12][8550/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.6817 (2.5842)	Prec@1 41.000 (37.116)	Prec@5 66.000 (67.924)
Epoch: [12][8560/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.7242 (2.5842)	Prec@1 35.500 (37.117)	Prec@5 65.500 (67.924)
Epoch: [12][8570/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.6388 (2.5843)	Prec@1 35.000 (37.116)	Prec@5 69.000 (67.921)
Epoch: [12][8580/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6241 (2.5843)	Prec@1 34.500 (37.117)	Prec@5 64.000 (67.922)
Epoch: [12][8590/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 2.4968 (2.5843)	Prec@1 36.500 (37.117)	Prec@5 71.500 (67.921)
Epoch: [12][8600/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.6573 (2.5844)	Prec@1 33.500 (37.116)	Prec@5 63.500 (67.920)
Epoch: [12][8610/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.5775 (2.5844)	Prec@1 32.000 (37.115)	Prec@5 69.000 (67.920)
Epoch: [12][8620/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.3530 (2.5844)	Prec@1 43.500 (37.114)	Prec@5 74.500 (67.920)
Epoch: [12][8630/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.4724 (2.5843)	Prec@1 39.500 (37.116)	Prec@5 72.500 (67.922)
Epoch: [12][8640/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.4391 (2.5843)	Prec@1 43.000 (37.118)	Prec@5 69.000 (67.923)
Epoch: [12][8650/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.7819 (2.5843)	Prec@1 34.000 (37.117)	Prec@5 65.500 (67.924)
Epoch: [12][8660/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.5164 (2.5843)	Prec@1 38.000 (37.115)	Prec@5 70.000 (67.922)
Epoch: [12][8670/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 2.7311 (2.5843)	Prec@1 34.000 (37.115)	Prec@5 65.500 (67.922)
Epoch: [12][8680/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.8603 (2.5844)	Prec@1 35.000 (37.114)	Prec@5 61.000 (67.921)
Epoch: [12][8690/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.6005 (2.5844)	Prec@1 38.500 (37.116)	Prec@5 69.000 (67.923)
Epoch: [12][8700/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.5775 (2.5844)	Prec@1 38.500 (37.116)	Prec@5 69.500 (67.922)
Epoch: [12][8710/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.3630 (2.5843)	Prec@1 39.000 (37.117)	Prec@5 73.000 (67.924)
Epoch: [12][8720/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.4788 (2.5842)	Prec@1 41.000 (37.120)	Prec@5 71.000 (67.926)
Epoch: [12][8730/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.4967 (2.5842)	Prec@1 38.000 (37.119)	Prec@5 68.000 (67.925)
Epoch: [12][8740/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.4224 (2.5842)	Prec@1 41.500 (37.119)	Prec@5 71.500 (67.923)
Epoch: [12][8750/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.7126 (2.5843)	Prec@1 36.500 (37.119)	Prec@5 66.500 (67.924)
Epoch: [12][8760/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.5674 (2.5843)	Prec@1 36.000 (37.118)	Prec@5 70.000 (67.923)
Epoch: [12][8770/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.2698 (2.5842)	Prec@1 44.000 (37.122)	Prec@5 70.000 (67.925)
Epoch: [12][8780/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.5775 (2.5842)	Prec@1 37.000 (37.119)	Prec@5 68.000 (67.923)
Epoch: [12][8790/9018]	Time 0.753 (0.614)	Data 0.001 (0.001)	Loss 2.4198 (2.5842)	Prec@1 38.500 (37.120)	Prec@5 68.500 (67.924)
Epoch: [12][8800/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.4980 (2.5843)	Prec@1 38.000 (37.120)	Prec@5 71.000 (67.923)
Epoch: [12][8810/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.6983 (2.5842)	Prec@1 34.000 (37.121)	Prec@5 67.500 (67.926)
Epoch: [12][8820/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.6284 (2.5842)	Prec@1 37.500 (37.122)	Prec@5 69.000 (67.925)
Epoch: [12][8830/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 2.4699 (2.5842)	Prec@1 37.000 (37.121)	Prec@5 73.000 (67.923)
Epoch: [12][8840/9018]	Time 0.747 (0.614)	Data 0.001 (0.001)	Loss 2.3606 (2.5842)	Prec@1 43.000 (37.122)	Prec@5 70.500 (67.924)
Epoch: [12][8850/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.3892 (2.5842)	Prec@1 40.000 (37.122)	Prec@5 74.000 (67.925)
Epoch: [12][8860/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.7274 (2.5842)	Prec@1 32.500 (37.121)	Prec@5 63.000 (67.925)
Epoch: [12][8870/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.4381 (2.5842)	Prec@1 40.500 (37.122)	Prec@5 72.500 (67.925)
Epoch: [12][8880/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.4044 (2.5842)	Prec@1 40.500 (37.122)	Prec@5 72.000 (67.924)
Epoch: [12][8890/9018]	Time 0.641 (0.614)	Data 0.001 (0.001)	Loss 2.6173 (2.5842)	Prec@1 38.000 (37.122)	Prec@5 68.500 (67.924)
Epoch: [12][8900/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.6332 (2.5842)	Prec@1 36.500 (37.121)	Prec@5 68.000 (67.924)
Epoch: [12][8910/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.5441 (2.5843)	Prec@1 41.500 (37.121)	Prec@5 73.000 (67.924)
Epoch: [12][8920/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.5030 (2.5842)	Prec@1 40.000 (37.124)	Prec@5 69.000 (67.925)
Epoch: [12][8930/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.3247 (2.5843)	Prec@1 44.000 (37.124)	Prec@5 71.500 (67.925)
Epoch: [12][8940/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.6721 (2.5843)	Prec@1 32.500 (37.124)	Prec@5 69.500 (67.927)
Epoch: [12][8950/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.4366 (2.5843)	Prec@1 38.000 (37.123)	Prec@5 69.000 (67.927)
Epoch: [12][8960/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.5587 (2.5843)	Prec@1 35.500 (37.124)	Prec@5 68.000 (67.926)
Epoch: [12][8970/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.6667 (2.5843)	Prec@1 33.500 (37.125)	Prec@5 65.000 (67.926)
Epoch: [12][8980/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.9011 (2.5843)	Prec@1 34.500 (37.124)	Prec@5 60.500 (67.926)
Epoch: [12][8990/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.6278 (2.5843)	Prec@1 33.500 (37.123)	Prec@5 66.500 (67.926)
Epoch: [12][9000/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.4889 (2.5843)	Prec@1 40.000 (37.124)	Prec@5 71.000 (67.925)
Epoch: [12][9010/9018]	Time 0.597 (0.614)	Data 0.000 (0.001)	Loss 2.6757 (2.5843)	Prec@1 32.500 (37.124)	Prec@5 64.000 (67.925)
Test: [0/183]	Time 1.313 (1.313)	Loss 2.7955 (2.7955)	Prec@1 36.500 (36.500)	Prec@5 62.500 (62.500)
Test: [10/183]	Time 0.188 (0.300)	Loss 2.3742 (2.2925)	Prec@1 45.500 (43.182)	Prec@5 74.000 (73.182)
Test: [20/183]	Time 0.275 (0.256)	Loss 2.8209 (2.2883)	Prec@1 25.000 (42.238)	Prec@5 69.500 (73.976)
Test: [30/183]	Time 0.184 (0.235)	Loss 2.6840 (2.2784)	Prec@1 31.500 (41.952)	Prec@5 68.000 (74.613)
Test: [40/183]	Time 0.187 (0.225)	Loss 3.4094 (2.3095)	Prec@1 20.000 (41.829)	Prec@5 51.000 (73.585)
Test: [50/183]	Time 0.185 (0.219)	Loss 2.4982 (2.2759)	Prec@1 31.500 (42.745)	Prec@5 73.000 (74.167)
Test: [60/183]	Time 0.188 (0.215)	Loss 2.3642 (2.3007)	Prec@1 38.500 (41.680)	Prec@5 76.000 (74.090)
Test: [70/183]	Time 0.248 (0.213)	Loss 1.9003 (2.2854)	Prec@1 52.500 (42.106)	Prec@5 83.000 (74.507)
Test: [80/183]	Time 0.203 (0.210)	Loss 2.2550 (2.2744)	Prec@1 41.000 (42.241)	Prec@5 81.000 (74.753)
Test: [90/183]	Time 0.185 (0.209)	Loss 2.7401 (2.2872)	Prec@1 31.000 (41.791)	Prec@5 65.000 (74.626)
Test: [100/183]	Time 0.212 (0.207)	Loss 1.3997 (2.2910)	Prec@1 65.500 (41.757)	Prec@5 87.000 (74.559)
Test: [110/183]	Time 0.186 (0.207)	Loss 0.9891 (2.2887)	Prec@1 76.000 (41.923)	Prec@5 94.000 (74.396)
Test: [120/183]	Time 0.183 (0.206)	Loss 2.6735 (2.2965)	Prec@1 26.000 (41.298)	Prec@5 68.000 (74.269)
Test: [130/183]	Time 0.212 (0.205)	Loss 3.1246 (2.3080)	Prec@1 16.500 (41.038)	Prec@5 59.000 (74.164)
Test: [140/183]	Time 0.190 (0.206)	Loss 2.0166 (2.2874)	Prec@1 49.500 (41.738)	Prec@5 73.500 (74.436)
Test: [150/183]	Time 0.198 (0.205)	Loss 1.2987 (2.2758)	Prec@1 65.500 (42.050)	Prec@5 93.000 (74.586)
Test: [160/183]	Time 0.184 (0.204)	Loss 2.4510 (2.2791)	Prec@1 40.500 (42.118)	Prec@5 66.000 (74.531)
Test: [170/183]	Time 0.189 (0.204)	Loss 3.3333 (2.2940)	Prec@1 16.500 (41.813)	Prec@5 54.500 (74.205)
Test: [180/183]	Time 0.182 (0.203)	Loss 2.6071 (2.3003)	Prec@1 31.000 (41.724)	Prec@5 70.500 (74.083)
 * Prec@1 41.732 Prec@5 74.060
Epoch: [13][0/9018]	Time 2.751 (2.751)	Data 2.124 (2.124)	Loss 2.5338 (2.5338)	Prec@1 36.000 (36.000)	Prec@5 72.000 (72.000)
Epoch: [13][10/9018]	Time 0.590 (0.806)	Data 0.001 (0.194)	Loss 2.3670 (2.5868)	Prec@1 42.500 (36.455)	Prec@5 75.500 (68.136)
Epoch: [13][20/9018]	Time 0.599 (0.712)	Data 0.001 (0.102)	Loss 2.5128 (2.5534)	Prec@1 33.500 (36.357)	Prec@5 69.000 (68.452)
Epoch: [13][30/9018]	Time 0.618 (0.677)	Data 0.001 (0.069)	Loss 2.3914 (2.5480)	Prec@1 39.500 (36.806)	Prec@5 72.500 (68.387)
Epoch: [13][40/9018]	Time 0.600 (0.663)	Data 0.001 (0.053)	Loss 2.2991 (2.5419)	Prec@1 45.000 (36.951)	Prec@5 72.500 (68.500)
Epoch: [13][50/9018]	Time 0.601 (0.652)	Data 0.001 (0.042)	Loss 2.4429 (2.5469)	Prec@1 38.500 (36.951)	Prec@5 70.000 (68.588)
Epoch: [13][60/9018]	Time 0.610 (0.646)	Data 0.001 (0.036)	Loss 2.6773 (2.5612)	Prec@1 36.000 (36.820)	Prec@5 63.500 (68.311)
Epoch: [13][70/9018]	Time 0.604 (0.644)	Data 0.001 (0.031)	Loss 2.6903 (2.5629)	Prec@1 30.000 (36.789)	Prec@5 65.000 (68.197)
Epoch: [13][80/9018]	Time 0.621 (0.640)	Data 0.001 (0.027)	Loss 2.7510 (2.5700)	Prec@1 30.500 (36.710)	Prec@5 68.000 (68.210)
Epoch: [13][90/9018]	Time 0.615 (0.639)	Data 0.001 (0.024)	Loss 2.6154 (2.5700)	Prec@1 36.000 (36.709)	Prec@5 70.500 (68.297)
Epoch: [13][100/9018]	Time 0.599 (0.636)	Data 0.001 (0.022)	Loss 2.6020 (2.5688)	Prec@1 36.500 (36.639)	Prec@5 72.500 (68.391)
Epoch: [13][110/9018]	Time 0.596 (0.634)	Data 0.001 (0.020)	Loss 2.6930 (2.5670)	Prec@1 35.500 (36.766)	Prec@5 66.500 (68.410)
Epoch: [13][120/9018]	Time 0.595 (0.633)	Data 0.001 (0.018)	Loss 2.3364 (2.5669)	Prec@1 40.000 (36.777)	Prec@5 70.500 (68.413)
Epoch: [13][130/9018]	Time 0.627 (0.631)	Data 0.001 (0.017)	Loss 2.6155 (2.5651)	Prec@1 38.500 (36.866)	Prec@5 67.500 (68.489)
Epoch: [13][140/9018]	Time 0.596 (0.630)	Data 0.001 (0.016)	Loss 2.5224 (2.5629)	Prec@1 36.500 (36.957)	Prec@5 70.000 (68.557)
Epoch: [13][150/9018]	Time 0.627 (0.629)	Data 0.001 (0.015)	Loss 2.4755 (2.5674)	Prec@1 39.000 (36.967)	Prec@5 70.000 (68.503)
Epoch: [13][160/9018]	Time 0.601 (0.628)	Data 0.001 (0.014)	Loss 2.6256 (2.5685)	Prec@1 40.000 (37.003)	Prec@5 67.500 (68.500)
Epoch: [13][170/9018]	Time 0.617 (0.628)	Data 0.001 (0.013)	Loss 2.5708 (2.5666)	Prec@1 38.000 (37.105)	Prec@5 68.000 (68.547)
Epoch: [13][180/9018]	Time 0.599 (0.626)	Data 0.001 (0.012)	Loss 2.5002 (2.5619)	Prec@1 39.000 (37.249)	Prec@5 70.500 (68.663)
Epoch: [13][190/9018]	Time 0.602 (0.626)	Data 0.001 (0.012)	Loss 2.5225 (2.5614)	Prec@1 40.000 (37.254)	Prec@5 72.000 (68.728)
Epoch: [13][200/9018]	Time 0.716 (0.626)	Data 0.001 (0.011)	Loss 2.5713 (2.5591)	Prec@1 38.500 (37.366)	Prec@5 71.500 (68.749)
Epoch: [13][210/9018]	Time 0.600 (0.625)	Data 0.001 (0.011)	Loss 2.5200 (2.5582)	Prec@1 37.500 (37.386)	Prec@5 71.500 (68.716)
Epoch: [13][220/9018]	Time 0.595 (0.625)	Data 0.001 (0.010)	Loss 2.6151 (2.5613)	Prec@1 36.000 (37.271)	Prec@5 65.000 (68.636)
Epoch: [13][230/9018]	Time 0.603 (0.624)	Data 0.001 (0.010)	Loss 2.6444 (2.5613)	Prec@1 36.000 (37.286)	Prec@5 64.500 (68.641)
Epoch: [13][240/9018]	Time 0.594 (0.624)	Data 0.001 (0.010)	Loss 2.6186 (2.5626)	Prec@1 37.000 (37.280)	Prec@5 69.000 (68.593)
Epoch: [13][250/9018]	Time 0.716 (0.623)	Data 0.001 (0.009)	Loss 2.7188 (2.5640)	Prec@1 33.500 (37.227)	Prec@5 65.000 (68.536)
Epoch: [13][260/9018]	Time 0.631 (0.623)	Data 0.001 (0.009)	Loss 2.5754 (2.5631)	Prec@1 34.500 (37.264)	Prec@5 68.000 (68.531)
Epoch: [13][270/9018]	Time 0.600 (0.623)	Data 0.001 (0.009)	Loss 2.6745 (2.5653)	Prec@1 33.500 (37.258)	Prec@5 64.500 (68.487)
Epoch: [13][280/9018]	Time 0.597 (0.622)	Data 0.001 (0.008)	Loss 2.5281 (2.5660)	Prec@1 36.000 (37.274)	Prec@5 75.000 (68.486)
Epoch: [13][290/9018]	Time 0.630 (0.622)	Data 0.001 (0.008)	Loss 2.5201 (2.5647)	Prec@1 38.500 (37.308)	Prec@5 68.500 (68.531)
Epoch: [13][300/9018]	Time 0.646 (0.622)	Data 0.001 (0.008)	Loss 2.7103 (2.5660)	Prec@1 35.000 (37.287)	Prec@5 67.500 (68.490)
Epoch: [13][310/9018]	Time 0.613 (0.622)	Data 0.001 (0.008)	Loss 2.5227 (2.5652)	Prec@1 40.500 (37.268)	Prec@5 71.000 (68.511)
Epoch: [13][320/9018]	Time 0.604 (0.621)	Data 0.001 (0.007)	Loss 2.4855 (2.5659)	Prec@1 35.000 (37.201)	Prec@5 70.500 (68.475)
Epoch: [13][330/9018]	Time 0.619 (0.621)	Data 0.001 (0.007)	Loss 2.5643 (2.5664)	Prec@1 36.500 (37.171)	Prec@5 66.000 (68.480)
Epoch: [13][340/9018]	Time 0.593 (0.621)	Data 0.001 (0.007)	Loss 2.4138 (2.5651)	Prec@1 37.500 (37.196)	Prec@5 71.500 (68.510)
Epoch: [13][350/9018]	Time 0.623 (0.621)	Data 0.001 (0.007)	Loss 2.5269 (2.5658)	Prec@1 39.500 (37.207)	Prec@5 68.000 (68.486)
Epoch: [13][360/9018]	Time 0.606 (0.620)	Data 0.001 (0.007)	Loss 2.7446 (2.5678)	Prec@1 34.500 (37.208)	Prec@5 65.500 (68.424)
Epoch: [13][370/9018]	Time 0.601 (0.621)	Data 0.001 (0.006)	Loss 2.3737 (2.5678)	Prec@1 43.500 (37.225)	Prec@5 72.000 (68.437)
Epoch: [13][380/9018]	Time 0.633 (0.620)	Data 0.001 (0.006)	Loss 2.6398 (2.5684)	Prec@1 35.000 (37.205)	Prec@5 68.000 (68.417)
Epoch: [13][390/9018]	Time 0.602 (0.620)	Data 0.001 (0.006)	Loss 2.5709 (2.5689)	Prec@1 38.000 (37.198)	Prec@5 68.500 (68.391)
Epoch: [13][400/9018]	Time 0.612 (0.620)	Data 0.001 (0.006)	Loss 2.5902 (2.5680)	Prec@1 32.500 (37.192)	Prec@5 68.500 (68.421)
Epoch: [13][410/9018]	Time 0.598 (0.620)	Data 0.001 (0.006)	Loss 2.5915 (2.5678)	Prec@1 38.000 (37.221)	Prec@5 66.500 (68.422)
Epoch: [13][420/9018]	Time 0.598 (0.620)	Data 0.001 (0.006)	Loss 2.4584 (2.5692)	Prec@1 41.000 (37.220)	Prec@5 73.000 (68.422)
Epoch: [13][430/9018]	Time 0.598 (0.619)	Data 0.001 (0.006)	Loss 2.6313 (2.5697)	Prec@1 39.500 (37.195)	Prec@5 67.500 (68.425)
Epoch: [13][440/9018]	Time 0.623 (0.619)	Data 0.001 (0.006)	Loss 2.6205 (2.5695)	Prec@1 36.000 (37.214)	Prec@5 67.500 (68.410)
Epoch: [13][450/9018]	Time 0.624 (0.619)	Data 0.001 (0.005)	Loss 2.6004 (2.5689)	Prec@1 36.500 (37.226)	Prec@5 68.500 (68.424)
Epoch: [13][460/9018]	Time 0.605 (0.619)	Data 0.001 (0.005)	Loss 2.3879 (2.5676)	Prec@1 44.000 (37.282)	Prec@5 71.500 (68.433)
Epoch: [13][470/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 2.7718 (2.5694)	Prec@1 30.500 (37.261)	Prec@5 66.000 (68.391)
Epoch: [13][480/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 2.4449 (2.5687)	Prec@1 37.500 (37.261)	Prec@5 70.500 (68.404)
Epoch: [13][490/9018]	Time 0.620 (0.619)	Data 0.001 (0.005)	Loss 2.2863 (2.5674)	Prec@1 42.000 (37.302)	Prec@5 72.500 (68.429)
Epoch: [13][500/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 2.6379 (2.5677)	Prec@1 34.500 (37.302)	Prec@5 69.000 (68.416)
Epoch: [13][510/9018]	Time 0.621 (0.619)	Data 0.001 (0.005)	Loss 2.5302 (2.5682)	Prec@1 38.000 (37.269)	Prec@5 67.000 (68.405)
Epoch: [13][520/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 2.6447 (2.5685)	Prec@1 38.000 (37.261)	Prec@5 64.500 (68.412)
Epoch: [13][530/9018]	Time 0.714 (0.619)	Data 0.001 (0.005)	Loss 2.5086 (2.5687)	Prec@1 36.000 (37.230)	Prec@5 69.500 (68.427)
Epoch: [13][540/9018]	Time 0.618 (0.618)	Data 0.001 (0.005)	Loss 2.5291 (2.5682)	Prec@1 42.500 (37.254)	Prec@5 68.000 (68.416)
Epoch: [13][550/9018]	Time 0.596 (0.618)	Data 0.001 (0.005)	Loss 2.6374 (2.5685)	Prec@1 35.000 (37.246)	Prec@5 66.000 (68.394)
Epoch: [13][560/9018]	Time 0.596 (0.618)	Data 0.001 (0.005)	Loss 2.6996 (2.5690)	Prec@1 38.000 (37.244)	Prec@5 66.500 (68.373)
Epoch: [13][570/9018]	Time 0.621 (0.618)	Data 0.001 (0.004)	Loss 2.5874 (2.5700)	Prec@1 35.000 (37.232)	Prec@5 65.000 (68.329)
Epoch: [13][580/9018]	Time 0.720 (0.618)	Data 0.001 (0.004)	Loss 2.4999 (2.5694)	Prec@1 41.500 (37.254)	Prec@5 70.500 (68.329)
Epoch: [13][590/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 2.6827 (2.5709)	Prec@1 38.500 (37.225)	Prec@5 64.500 (68.310)
Epoch: [13][600/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.5089 (2.5716)	Prec@1 43.000 (37.220)	Prec@5 71.000 (68.309)
Epoch: [13][610/9018]	Time 0.637 (0.618)	Data 0.001 (0.004)	Loss 2.6305 (2.5721)	Prec@1 33.500 (37.201)	Prec@5 70.000 (68.307)
Epoch: [13][620/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 2.6311 (2.5718)	Prec@1 38.000 (37.213)	Prec@5 65.000 (68.308)
Epoch: [13][630/9018]	Time 0.639 (0.618)	Data 0.001 (0.004)	Loss 2.5847 (2.5711)	Prec@1 36.500 (37.212)	Prec@5 70.000 (68.326)
Epoch: [13][640/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 2.3897 (2.5713)	Prec@1 43.000 (37.218)	Prec@5 67.500 (68.317)
Epoch: [13][650/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 2.4772 (2.5723)	Prec@1 42.000 (37.204)	Prec@5 70.500 (68.301)
Epoch: [13][660/9018]	Time 0.607 (0.618)	Data 0.001 (0.004)	Loss 2.3718 (2.5727)	Prec@1 41.000 (37.200)	Prec@5 72.500 (68.287)
Epoch: [13][670/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.4129 (2.5720)	Prec@1 37.500 (37.202)	Prec@5 72.500 (68.297)
Epoch: [13][680/9018]	Time 0.612 (0.618)	Data 0.001 (0.004)	Loss 2.5725 (2.5717)	Prec@1 42.000 (37.225)	Prec@5 70.500 (68.282)
Epoch: [13][690/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.3232 (2.5713)	Prec@1 42.500 (37.228)	Prec@5 73.000 (68.284)
Epoch: [13][700/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 2.5375 (2.5711)	Prec@1 36.000 (37.230)	Prec@5 71.000 (68.289)
Epoch: [13][710/9018]	Time 0.631 (0.618)	Data 0.001 (0.004)	Loss 2.6808 (2.5721)	Prec@1 34.500 (37.198)	Prec@5 63.500 (68.276)
Epoch: [13][720/9018]	Time 0.593 (0.617)	Data 0.001 (0.004)	Loss 2.6704 (2.5725)	Prec@1 38.000 (37.190)	Prec@5 66.000 (68.265)
Epoch: [13][730/9018]	Time 0.622 (0.618)	Data 0.001 (0.004)	Loss 2.5944 (2.5729)	Prec@1 36.000 (37.188)	Prec@5 69.500 (68.259)
Epoch: [13][740/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.6009 (2.5736)	Prec@1 33.000 (37.167)	Prec@5 64.500 (68.236)
Epoch: [13][750/9018]	Time 0.591 (0.617)	Data 0.001 (0.004)	Loss 2.7476 (2.5738)	Prec@1 32.500 (37.172)	Prec@5 63.500 (68.221)
Epoch: [13][760/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 2.4920 (2.5741)	Prec@1 42.500 (37.157)	Prec@5 69.000 (68.226)
Epoch: [13][770/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.6390 (2.5744)	Prec@1 35.500 (37.153)	Prec@5 68.000 (68.222)
Epoch: [13][780/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.8962 (2.5743)	Prec@1 29.500 (37.134)	Prec@5 64.000 (68.222)
Epoch: [13][790/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.4828 (2.5740)	Prec@1 38.500 (37.143)	Prec@5 70.000 (68.214)
Epoch: [13][800/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 2.3138 (2.5736)	Prec@1 39.000 (37.142)	Prec@5 74.500 (68.220)
Epoch: [13][810/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.6055 (2.5728)	Prec@1 36.000 (37.166)	Prec@5 70.500 (68.245)
Epoch: [13][820/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.5426 (2.5726)	Prec@1 39.500 (37.174)	Prec@5 67.500 (68.242)
Epoch: [13][830/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.7934 (2.5734)	Prec@1 34.500 (37.153)	Prec@5 60.500 (68.209)
Epoch: [13][840/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 2.5875 (2.5735)	Prec@1 38.500 (37.152)	Prec@5 65.500 (68.196)
Epoch: [13][850/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 2.6176 (2.5728)	Prec@1 41.000 (37.177)	Prec@5 66.000 (68.202)
Epoch: [13][860/9018]	Time 0.724 (0.617)	Data 0.001 (0.003)	Loss 2.5887 (2.5731)	Prec@1 36.500 (37.168)	Prec@5 69.000 (68.186)
Epoch: [13][870/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.5536 (2.5732)	Prec@1 37.500 (37.168)	Prec@5 71.000 (68.196)
Epoch: [13][880/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.6488 (2.5734)	Prec@1 32.500 (37.163)	Prec@5 64.000 (68.180)
Epoch: [13][890/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.6208 (2.5740)	Prec@1 36.500 (37.161)	Prec@5 70.000 (68.174)
Epoch: [13][900/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.8204 (2.5742)	Prec@1 32.000 (37.155)	Prec@5 62.000 (68.171)
Epoch: [13][910/9018]	Time 0.731 (0.617)	Data 0.001 (0.003)	Loss 2.2705 (2.5738)	Prec@1 42.000 (37.150)	Prec@5 73.000 (68.180)
Epoch: [13][920/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 2.5828 (2.5743)	Prec@1 38.500 (37.148)	Prec@5 66.000 (68.178)
Epoch: [13][930/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 2.6714 (2.5739)	Prec@1 35.500 (37.150)	Prec@5 64.000 (68.168)
Epoch: [13][940/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.7153 (2.5745)	Prec@1 35.500 (37.131)	Prec@5 66.500 (68.170)
Epoch: [13][950/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.6778 (2.5745)	Prec@1 39.000 (37.140)	Prec@5 66.500 (68.177)
Epoch: [13][960/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.6096 (2.5745)	Prec@1 36.500 (37.136)	Prec@5 66.000 (68.177)
Epoch: [13][970/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.5313 (2.5745)	Prec@1 34.000 (37.139)	Prec@5 70.500 (68.185)
Epoch: [13][980/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.2229 (2.5741)	Prec@1 41.000 (37.142)	Prec@5 75.500 (68.200)
Epoch: [13][990/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.4151 (2.5740)	Prec@1 39.500 (37.144)	Prec@5 75.000 (68.198)
Epoch: [13][1000/9018]	Time 0.612 (0.617)	Data 0.001 (0.003)	Loss 2.5235 (2.5743)	Prec@1 29.500 (37.130)	Prec@5 71.000 (68.193)
Epoch: [13][1010/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.5452 (2.5739)	Prec@1 37.500 (37.130)	Prec@5 69.000 (68.201)
Epoch: [13][1020/9018]	Time 0.626 (0.617)	Data 0.001 (0.003)	Loss 2.4939 (2.5739)	Prec@1 39.500 (37.133)	Prec@5 70.000 (68.192)
Epoch: [13][1030/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.4846 (2.5732)	Prec@1 36.500 (37.137)	Prec@5 73.500 (68.201)
Epoch: [13][1040/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.4570 (2.5731)	Prec@1 37.500 (37.142)	Prec@5 66.500 (68.195)
Epoch: [13][1050/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.6480 (2.5737)	Prec@1 34.500 (37.121)	Prec@5 66.500 (68.178)
Epoch: [13][1060/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.4578 (2.5739)	Prec@1 41.500 (37.117)	Prec@5 69.500 (68.172)
Epoch: [13][1070/9018]	Time 0.613 (0.616)	Data 0.001 (0.003)	Loss 2.6389 (2.5745)	Prec@1 35.000 (37.092)	Prec@5 68.500 (68.166)
Epoch: [13][1080/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.6349 (2.5745)	Prec@1 35.000 (37.090)	Prec@5 66.500 (68.176)
Epoch: [13][1090/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.7220 (2.5752)	Prec@1 36.000 (37.083)	Prec@5 67.500 (68.160)
Epoch: [13][1100/9018]	Time 0.614 (0.616)	Data 0.001 (0.003)	Loss 2.7401 (2.5754)	Prec@1 34.000 (37.074)	Prec@5 69.500 (68.166)
Epoch: [13][1110/9018]	Time 0.636 (0.616)	Data 0.001 (0.003)	Loss 2.3477 (2.5753)	Prec@1 41.000 (37.091)	Prec@5 74.500 (68.164)
Epoch: [13][1120/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.6212 (2.5749)	Prec@1 34.000 (37.100)	Prec@5 70.500 (68.180)
Epoch: [13][1130/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.7189 (2.5751)	Prec@1 35.500 (37.109)	Prec@5 62.500 (68.166)
Epoch: [13][1140/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.6107 (2.5753)	Prec@1 37.500 (37.106)	Prec@5 68.500 (68.159)
Epoch: [13][1150/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.6217 (2.5749)	Prec@1 34.500 (37.111)	Prec@5 68.000 (68.166)
Epoch: [13][1160/9018]	Time 0.627 (0.616)	Data 0.001 (0.003)	Loss 2.7395 (2.5757)	Prec@1 30.000 (37.094)	Prec@5 63.000 (68.149)
Epoch: [13][1170/9018]	Time 0.589 (0.616)	Data 0.001 (0.003)	Loss 2.6177 (2.5754)	Prec@1 34.500 (37.096)	Prec@5 66.000 (68.159)
Epoch: [13][1180/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.5280 (2.5753)	Prec@1 42.000 (37.122)	Prec@5 71.500 (68.154)
Epoch: [13][1190/9018]	Time 0.735 (0.616)	Data 0.001 (0.003)	Loss 2.6120 (2.5753)	Prec@1 36.500 (37.128)	Prec@5 69.500 (68.156)
Epoch: [13][1200/9018]	Time 0.621 (0.616)	Data 0.001 (0.003)	Loss 2.6178 (2.5750)	Prec@1 39.000 (37.135)	Prec@5 68.500 (68.180)
Epoch: [13][1210/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 2.6867 (2.5753)	Prec@1 36.500 (37.128)	Prec@5 63.500 (68.174)
Epoch: [13][1220/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.4003 (2.5754)	Prec@1 41.500 (37.118)	Prec@5 68.000 (68.167)
Epoch: [13][1230/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6611 (2.5758)	Prec@1 39.500 (37.119)	Prec@5 68.000 (68.161)
Epoch: [13][1240/9018]	Time 0.712 (0.616)	Data 0.001 (0.002)	Loss 2.6481 (2.5761)	Prec@1 30.500 (37.111)	Prec@5 68.000 (68.152)
Epoch: [13][1250/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.5439 (2.5758)	Prec@1 39.500 (37.117)	Prec@5 68.000 (68.159)
Epoch: [13][1260/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.5052 (2.5759)	Prec@1 40.500 (37.113)	Prec@5 69.000 (68.157)
Epoch: [13][1270/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.8603 (2.5760)	Prec@1 33.000 (37.112)	Prec@5 67.000 (68.160)
Epoch: [13][1280/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.3817 (2.5758)	Prec@1 40.000 (37.113)	Prec@5 69.500 (68.161)
Epoch: [13][1290/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.8315 (2.5761)	Prec@1 29.000 (37.105)	Prec@5 60.500 (68.151)
Epoch: [13][1300/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.7199 (2.5761)	Prec@1 38.000 (37.106)	Prec@5 67.000 (68.143)
Epoch: [13][1310/9018]	Time 0.646 (0.616)	Data 0.001 (0.002)	Loss 2.6570 (2.5762)	Prec@1 35.500 (37.111)	Prec@5 67.000 (68.137)
Epoch: [13][1320/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.7280 (2.5765)	Prec@1 35.500 (37.121)	Prec@5 65.000 (68.128)
Epoch: [13][1330/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6423 (2.5763)	Prec@1 30.500 (37.115)	Prec@5 70.000 (68.131)
Epoch: [13][1340/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.3697 (2.5764)	Prec@1 36.500 (37.121)	Prec@5 73.500 (68.121)
Epoch: [13][1350/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6686 (2.5766)	Prec@1 36.000 (37.108)	Prec@5 68.500 (68.121)
Epoch: [13][1360/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.7433 (2.5768)	Prec@1 32.500 (37.103)	Prec@5 65.000 (68.122)
Epoch: [13][1370/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.7216 (2.5767)	Prec@1 35.000 (37.108)	Prec@5 68.500 (68.132)
Epoch: [13][1380/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6997 (2.5767)	Prec@1 35.000 (37.118)	Prec@5 62.500 (68.130)
Epoch: [13][1390/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.4895 (2.5765)	Prec@1 43.000 (37.134)	Prec@5 70.500 (68.134)
Epoch: [13][1400/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6758 (2.5763)	Prec@1 36.000 (37.138)	Prec@5 68.500 (68.142)
Epoch: [13][1410/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.5521 (2.5759)	Prec@1 35.500 (37.156)	Prec@5 69.500 (68.149)
Epoch: [13][1420/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6438 (2.5760)	Prec@1 37.500 (37.159)	Prec@5 66.500 (68.143)
Epoch: [13][1430/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.6485 (2.5761)	Prec@1 40.500 (37.158)	Prec@5 68.500 (68.138)
Epoch: [13][1440/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.7885 (2.5764)	Prec@1 33.500 (37.155)	Prec@5 60.000 (68.130)
Epoch: [13][1450/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6662 (2.5763)	Prec@1 34.500 (37.162)	Prec@5 66.500 (68.131)
Epoch: [13][1460/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5558 (2.5763)	Prec@1 38.000 (37.158)	Prec@5 66.000 (68.128)
Epoch: [13][1470/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.7047 (2.5764)	Prec@1 35.500 (37.150)	Prec@5 65.000 (68.123)
Epoch: [13][1480/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5154 (2.5770)	Prec@1 42.500 (37.142)	Prec@5 71.000 (68.116)
Epoch: [13][1490/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.4987 (2.5774)	Prec@1 36.500 (37.133)	Prec@5 68.000 (68.109)
Epoch: [13][1500/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.6849 (2.5777)	Prec@1 38.500 (37.138)	Prec@5 64.500 (68.102)
Epoch: [13][1510/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5660 (2.5779)	Prec@1 38.000 (37.133)	Prec@5 68.000 (68.103)
Epoch: [13][1520/9018]	Time 0.771 (0.616)	Data 0.003 (0.002)	Loss 2.7220 (2.5785)	Prec@1 34.000 (37.117)	Prec@5 61.500 (68.084)
Epoch: [13][1530/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5991 (2.5783)	Prec@1 36.000 (37.121)	Prec@5 68.000 (68.084)
Epoch: [13][1540/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.3676 (2.5784)	Prec@1 39.500 (37.119)	Prec@5 72.000 (68.082)
Epoch: [13][1550/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5740 (2.5785)	Prec@1 37.500 (37.115)	Prec@5 68.500 (68.079)
Epoch: [13][1560/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.7473 (2.5789)	Prec@1 35.000 (37.104)	Prec@5 65.500 (68.073)
Epoch: [13][1570/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 2.5618 (2.5792)	Prec@1 39.500 (37.106)	Prec@5 70.000 (68.065)
Epoch: [13][1580/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6279 (2.5792)	Prec@1 36.000 (37.104)	Prec@5 65.500 (68.064)
Epoch: [13][1590/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6085 (2.5794)	Prec@1 36.000 (37.101)	Prec@5 69.500 (68.059)
Epoch: [13][1600/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.5163 (2.5797)	Prec@1 39.000 (37.106)	Prec@5 71.000 (68.052)
Epoch: [13][1610/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4935 (2.5797)	Prec@1 39.500 (37.106)	Prec@5 69.500 (68.056)
Epoch: [13][1620/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.5653 (2.5800)	Prec@1 36.000 (37.097)	Prec@5 67.500 (68.049)
Epoch: [13][1630/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.7582 (2.5800)	Prec@1 32.500 (37.098)	Prec@5 63.000 (68.047)
Epoch: [13][1640/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6469 (2.5803)	Prec@1 33.000 (37.095)	Prec@5 63.500 (68.039)
Epoch: [13][1650/9018]	Time 0.589 (0.616)	Data 0.001 (0.002)	Loss 2.9217 (2.5804)	Prec@1 32.000 (37.098)	Prec@5 63.500 (68.043)
Epoch: [13][1660/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6426 (2.5806)	Prec@1 40.500 (37.104)	Prec@5 71.000 (68.038)
Epoch: [13][1670/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.5628 (2.5804)	Prec@1 39.000 (37.109)	Prec@5 68.500 (68.038)
Epoch: [13][1680/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5869 (2.5803)	Prec@1 34.000 (37.111)	Prec@5 68.500 (68.043)
Epoch: [13][1690/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.4724 (2.5799)	Prec@1 39.500 (37.122)	Prec@5 66.500 (68.055)
Epoch: [13][1700/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5343 (2.5795)	Prec@1 36.500 (37.119)	Prec@5 66.000 (68.060)
Epoch: [13][1710/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.3989 (2.5793)	Prec@1 43.500 (37.126)	Prec@5 70.500 (68.066)
Epoch: [13][1720/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.5581 (2.5793)	Prec@1 41.500 (37.119)	Prec@5 69.000 (68.068)
Epoch: [13][1730/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5657 (2.5795)	Prec@1 37.500 (37.115)	Prec@5 67.000 (68.072)
Epoch: [13][1740/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5842 (2.5796)	Prec@1 36.500 (37.119)	Prec@5 66.000 (68.067)
Epoch: [13][1750/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.7094 (2.5799)	Prec@1 32.500 (37.117)	Prec@5 68.000 (68.056)
Epoch: [13][1760/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.8034 (2.5800)	Prec@1 31.500 (37.107)	Prec@5 64.000 (68.057)
Epoch: [13][1770/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6237 (2.5804)	Prec@1 37.500 (37.096)	Prec@5 69.500 (68.050)
Epoch: [13][1780/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.2852 (2.5800)	Prec@1 41.500 (37.108)	Prec@5 73.500 (68.054)
Epoch: [13][1790/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.6928 (2.5808)	Prec@1 38.000 (37.090)	Prec@5 64.000 (68.039)
Epoch: [13][1800/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.3937 (2.5804)	Prec@1 44.000 (37.099)	Prec@5 72.000 (68.048)
Epoch: [13][1810/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6186 (2.5806)	Prec@1 35.000 (37.097)	Prec@5 68.000 (68.044)
Epoch: [13][1820/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.3834 (2.5805)	Prec@1 40.000 (37.097)	Prec@5 75.500 (68.046)
Epoch: [13][1830/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.7333 (2.5803)	Prec@1 34.500 (37.105)	Prec@5 65.500 (68.050)
Epoch: [13][1840/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6719 (2.5803)	Prec@1 36.000 (37.109)	Prec@5 67.500 (68.052)
Epoch: [13][1850/9018]	Time 0.726 (0.616)	Data 0.001 (0.002)	Loss 2.4929 (2.5803)	Prec@1 40.000 (37.110)	Prec@5 66.500 (68.047)
Epoch: [13][1860/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.4253 (2.5802)	Prec@1 38.500 (37.125)	Prec@5 70.500 (68.047)
Epoch: [13][1870/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5718 (2.5798)	Prec@1 34.500 (37.127)	Prec@5 68.000 (68.045)
Epoch: [13][1880/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.6227 (2.5801)	Prec@1 39.500 (37.122)	Prec@5 67.000 (68.039)
Epoch: [13][1890/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6129 (2.5801)	Prec@1 32.500 (37.119)	Prec@5 67.500 (68.039)
Epoch: [13][1900/9018]	Time 0.762 (0.616)	Data 0.001 (0.002)	Loss 2.5097 (2.5800)	Prec@1 41.500 (37.114)	Prec@5 69.500 (68.050)
Epoch: [13][1910/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.8533 (2.5797)	Prec@1 32.500 (37.117)	Prec@5 67.500 (68.059)
Epoch: [13][1920/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.3500 (2.5801)	Prec@1 40.000 (37.113)	Prec@5 73.500 (68.052)
Epoch: [13][1930/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6765 (2.5800)	Prec@1 36.500 (37.118)	Prec@5 65.500 (68.056)
Epoch: [13][1940/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.8110 (2.5800)	Prec@1 35.000 (37.117)	Prec@5 67.500 (68.054)
Epoch: [13][1950/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5264 (2.5801)	Prec@1 38.500 (37.113)	Prec@5 65.000 (68.054)
Epoch: [13][1960/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6211 (2.5805)	Prec@1 36.000 (37.103)	Prec@5 67.000 (68.039)
Epoch: [13][1970/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5321 (2.5804)	Prec@1 37.500 (37.099)	Prec@5 70.000 (68.044)
Epoch: [13][1980/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.3962 (2.5801)	Prec@1 44.000 (37.104)	Prec@5 70.500 (68.050)
Epoch: [13][1990/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.4955 (2.5800)	Prec@1 37.000 (37.104)	Prec@5 67.500 (68.055)
Epoch: [13][2000/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5943 (2.5805)	Prec@1 38.500 (37.099)	Prec@5 66.500 (68.048)
Epoch: [13][2010/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.7086 (2.5805)	Prec@1 34.000 (37.095)	Prec@5 68.500 (68.048)
Epoch: [13][2020/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6070 (2.5806)	Prec@1 36.000 (37.088)	Prec@5 66.500 (68.048)
Epoch: [13][2030/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.6115 (2.5807)	Prec@1 35.000 (37.085)	Prec@5 64.500 (68.043)
Epoch: [13][2040/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6120 (2.5808)	Prec@1 40.000 (37.088)	Prec@5 66.500 (68.040)
Epoch: [13][2050/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.7042 (2.5807)	Prec@1 34.000 (37.093)	Prec@5 65.000 (68.041)
Epoch: [13][2060/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6031 (2.5807)	Prec@1 36.500 (37.095)	Prec@5 65.000 (68.039)
Epoch: [13][2070/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5003 (2.5811)	Prec@1 44.000 (37.095)	Prec@5 68.000 (68.033)
Epoch: [13][2080/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.5072 (2.5810)	Prec@1 37.000 (37.097)	Prec@5 65.500 (68.033)
Epoch: [13][2090/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4539 (2.5810)	Prec@1 41.000 (37.093)	Prec@5 69.500 (68.029)
Epoch: [13][2100/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5352 (2.5808)	Prec@1 38.000 (37.097)	Prec@5 66.500 (68.027)
Epoch: [13][2110/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6405 (2.5806)	Prec@1 34.500 (37.100)	Prec@5 65.500 (68.035)
Epoch: [13][2120/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.3735 (2.5807)	Prec@1 41.000 (37.101)	Prec@5 71.000 (68.037)
Epoch: [13][2130/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.7438 (2.5807)	Prec@1 38.000 (37.100)	Prec@5 66.000 (68.030)
Epoch: [13][2140/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.8588 (2.5807)	Prec@1 31.500 (37.098)	Prec@5 58.000 (68.025)
Epoch: [13][2150/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.5377 (2.5807)	Prec@1 33.500 (37.092)	Prec@5 66.000 (68.018)
Epoch: [13][2160/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.6946 (2.5809)	Prec@1 34.500 (37.085)	Prec@5 63.000 (68.014)
Epoch: [13][2170/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.5780 (2.5808)	Prec@1 38.500 (37.087)	Prec@5 69.000 (68.018)
Epoch: [13][2180/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 2.5025 (2.5808)	Prec@1 35.500 (37.092)	Prec@5 75.000 (68.018)
Epoch: [13][2190/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.4895 (2.5809)	Prec@1 40.500 (37.092)	Prec@5 67.000 (68.018)
Epoch: [13][2200/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.6560 (2.5812)	Prec@1 35.500 (37.085)	Prec@5 69.000 (68.019)
Epoch: [13][2210/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2369 (2.5811)	Prec@1 45.500 (37.088)	Prec@5 75.500 (68.023)
Epoch: [13][2220/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6208 (2.5810)	Prec@1 37.000 (37.090)	Prec@5 64.500 (68.018)
Epoch: [13][2230/9018]	Time 0.720 (0.616)	Data 0.001 (0.002)	Loss 2.5452 (2.5807)	Prec@1 36.500 (37.102)	Prec@5 68.000 (68.019)
Epoch: [13][2240/9018]	Time 0.640 (0.615)	Data 0.001 (0.002)	Loss 2.6694 (2.5806)	Prec@1 34.500 (37.099)	Prec@5 67.000 (68.023)
Epoch: [13][2250/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.6306 (2.5806)	Prec@1 32.000 (37.104)	Prec@5 67.000 (68.022)
Epoch: [13][2260/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.3978 (2.5805)	Prec@1 43.500 (37.103)	Prec@5 71.000 (68.018)
Epoch: [13][2270/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6077 (2.5808)	Prec@1 38.000 (37.098)	Prec@5 70.500 (68.014)
Epoch: [13][2280/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.7351 (2.5807)	Prec@1 35.000 (37.103)	Prec@5 65.000 (68.014)
Epoch: [13][2290/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.5546 (2.5811)	Prec@1 36.000 (37.096)	Prec@5 67.500 (68.012)
Epoch: [13][2300/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6384 (2.5815)	Prec@1 32.000 (37.090)	Prec@5 66.500 (68.006)
Epoch: [13][2310/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.5567 (2.5811)	Prec@1 38.500 (37.102)	Prec@5 67.000 (68.008)
Epoch: [13][2320/9018]	Time 0.588 (0.615)	Data 0.001 (0.002)	Loss 2.6024 (2.5813)	Prec@1 33.500 (37.102)	Prec@5 68.000 (67.999)
Epoch: [13][2330/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.6988 (2.5812)	Prec@1 34.500 (37.103)	Prec@5 68.500 (68.001)
Epoch: [13][2340/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 2.6181 (2.5812)	Prec@1 35.000 (37.103)	Prec@5 68.500 (68.003)
Epoch: [13][2350/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.7422 (2.5811)	Prec@1 35.000 (37.101)	Prec@5 60.500 (68.005)
Epoch: [13][2360/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.4756 (2.5810)	Prec@1 40.500 (37.102)	Prec@5 71.000 (68.009)
Epoch: [13][2370/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.5340 (2.5809)	Prec@1 40.000 (37.106)	Prec@5 71.500 (68.013)
Epoch: [13][2380/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.5383 (2.5813)	Prec@1 38.500 (37.093)	Prec@5 71.000 (68.009)
Epoch: [13][2390/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.5749 (2.5814)	Prec@1 38.500 (37.087)	Prec@5 66.500 (68.005)
Epoch: [13][2400/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4246 (2.5816)	Prec@1 42.500 (37.081)	Prec@5 74.500 (68.004)
Epoch: [13][2410/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.6028 (2.5816)	Prec@1 41.000 (37.078)	Prec@5 67.000 (68.000)
Epoch: [13][2420/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.4551 (2.5814)	Prec@1 39.500 (37.086)	Prec@5 71.500 (68.003)
Epoch: [13][2430/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.3373 (2.5811)	Prec@1 42.500 (37.092)	Prec@5 73.000 (68.008)
Epoch: [13][2440/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.8294 (2.5809)	Prec@1 34.000 (37.096)	Prec@5 62.000 (68.013)
Epoch: [13][2450/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.5203 (2.5807)	Prec@1 38.000 (37.104)	Prec@5 69.000 (68.020)
Epoch: [13][2460/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5457 (2.5806)	Prec@1 37.000 (37.102)	Prec@5 71.000 (68.022)
Epoch: [13][2470/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4088 (2.5805)	Prec@1 37.000 (37.102)	Prec@5 72.000 (68.022)
Epoch: [13][2480/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4705 (2.5802)	Prec@1 39.500 (37.112)	Prec@5 73.000 (68.029)
Epoch: [13][2490/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.6032 (2.5803)	Prec@1 33.500 (37.111)	Prec@5 67.500 (68.025)
Epoch: [13][2500/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.7487 (2.5802)	Prec@1 35.000 (37.113)	Prec@5 67.500 (68.027)
Epoch: [13][2510/9018]	Time 0.721 (0.615)	Data 0.001 (0.002)	Loss 2.4955 (2.5802)	Prec@1 37.500 (37.111)	Prec@5 72.500 (68.029)
Epoch: [13][2520/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.6264 (2.5803)	Prec@1 36.000 (37.107)	Prec@5 68.000 (68.029)
Epoch: [13][2530/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4991 (2.5803)	Prec@1 37.000 (37.107)	Prec@5 70.000 (68.024)
Epoch: [13][2540/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.7355 (2.5803)	Prec@1 34.500 (37.108)	Prec@5 65.000 (68.025)
Epoch: [13][2550/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.5864 (2.5802)	Prec@1 36.000 (37.107)	Prec@5 70.000 (68.027)
Epoch: [13][2560/9018]	Time 0.724 (0.615)	Data 0.001 (0.002)	Loss 2.5783 (2.5804)	Prec@1 40.000 (37.106)	Prec@5 68.500 (68.022)
Epoch: [13][2570/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.4424 (2.5806)	Prec@1 45.000 (37.110)	Prec@5 71.500 (68.019)
Epoch: [13][2580/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.3517 (2.5808)	Prec@1 40.000 (37.105)	Prec@5 74.500 (68.015)
Epoch: [13][2590/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.4719 (2.5808)	Prec@1 36.000 (37.108)	Prec@5 70.500 (68.013)
Epoch: [13][2600/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7497 (2.5809)	Prec@1 37.500 (37.106)	Prec@5 66.500 (68.015)
Epoch: [13][2610/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.7084 (2.5809)	Prec@1 34.000 (37.106)	Prec@5 65.000 (68.016)
Epoch: [13][2620/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.4344 (2.5808)	Prec@1 40.500 (37.109)	Prec@5 72.500 (68.016)
Epoch: [13][2630/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5211 (2.5806)	Prec@1 38.500 (37.109)	Prec@5 70.500 (68.020)
Epoch: [13][2640/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.5132 (2.5809)	Prec@1 36.500 (37.103)	Prec@5 66.500 (68.016)
Epoch: [13][2650/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.5552 (2.5808)	Prec@1 39.000 (37.107)	Prec@5 70.000 (68.013)
Epoch: [13][2660/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6289 (2.5807)	Prec@1 38.500 (37.110)	Prec@5 68.000 (68.018)
Epoch: [13][2670/9018]	Time 0.638 (0.615)	Data 0.001 (0.002)	Loss 2.3652 (2.5802)	Prec@1 40.000 (37.119)	Prec@5 75.500 (68.028)
Epoch: [13][2680/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.4716 (2.5800)	Prec@1 35.500 (37.123)	Prec@5 67.000 (68.032)
Epoch: [13][2690/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.6212 (2.5799)	Prec@1 38.500 (37.125)	Prec@5 66.500 (68.035)
Epoch: [13][2700/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5253 (2.5797)	Prec@1 34.000 (37.126)	Prec@5 67.500 (68.036)
Epoch: [13][2710/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4096 (2.5796)	Prec@1 41.500 (37.128)	Prec@5 70.000 (68.037)
Epoch: [13][2720/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.5968 (2.5796)	Prec@1 35.500 (37.123)	Prec@5 69.500 (68.042)
Epoch: [13][2730/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.5952 (2.5796)	Prec@1 35.000 (37.124)	Prec@5 67.500 (68.042)
Epoch: [13][2740/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4764 (2.5796)	Prec@1 37.500 (37.122)	Prec@5 72.500 (68.052)
Epoch: [13][2750/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.4443 (2.5795)	Prec@1 36.000 (37.121)	Prec@5 71.500 (68.056)
Epoch: [13][2760/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.5172 (2.5795)	Prec@1 42.000 (37.124)	Prec@5 73.500 (68.056)
Epoch: [13][2770/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4441 (2.5796)	Prec@1 38.500 (37.121)	Prec@5 72.500 (68.056)
Epoch: [13][2780/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.5330 (2.5798)	Prec@1 36.500 (37.118)	Prec@5 69.500 (68.050)
Epoch: [13][2790/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.3218 (2.5797)	Prec@1 45.500 (37.123)	Prec@5 72.000 (68.053)
Epoch: [13][2800/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6759 (2.5797)	Prec@1 35.000 (37.124)	Prec@5 61.500 (68.051)
Epoch: [13][2810/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 2.5360 (2.5794)	Prec@1 36.000 (37.133)	Prec@5 73.000 (68.061)
Epoch: [13][2820/9018]	Time 0.587 (0.615)	Data 0.001 (0.002)	Loss 2.8095 (2.5795)	Prec@1 35.000 (37.132)	Prec@5 64.000 (68.062)
Epoch: [13][2830/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.5155 (2.5795)	Prec@1 38.500 (37.136)	Prec@5 68.500 (68.061)
Epoch: [13][2840/9018]	Time 0.715 (0.615)	Data 0.001 (0.002)	Loss 2.4975 (2.5794)	Prec@1 39.000 (37.138)	Prec@5 70.000 (68.060)
Epoch: [13][2850/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.8521 (2.5795)	Prec@1 31.500 (37.135)	Prec@5 64.500 (68.061)
Epoch: [13][2860/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5179 (2.5794)	Prec@1 36.000 (37.137)	Prec@5 71.000 (68.063)
Epoch: [13][2870/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6821 (2.5794)	Prec@1 36.500 (37.133)	Prec@5 70.500 (68.063)
Epoch: [13][2880/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.7901 (2.5794)	Prec@1 38.000 (37.136)	Prec@5 65.000 (68.059)
Epoch: [13][2890/9018]	Time 0.712 (0.615)	Data 0.001 (0.002)	Loss 2.8541 (2.5796)	Prec@1 32.000 (37.136)	Prec@5 62.000 (68.057)
Epoch: [13][2900/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.7036 (2.5796)	Prec@1 34.500 (37.133)	Prec@5 65.500 (68.055)
Epoch: [13][2910/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5401 (2.5797)	Prec@1 34.500 (37.135)	Prec@5 69.500 (68.054)
Epoch: [13][2920/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.5135 (2.5797)	Prec@1 39.500 (37.132)	Prec@5 68.000 (68.053)
Epoch: [13][2930/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5162 (2.5798)	Prec@1 41.500 (37.133)	Prec@5 69.500 (68.050)
Epoch: [13][2940/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6567 (2.5800)	Prec@1 36.500 (37.129)	Prec@5 66.500 (68.043)
Epoch: [13][2950/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6268 (2.5798)	Prec@1 37.000 (37.138)	Prec@5 69.000 (68.049)
Epoch: [13][2960/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4653 (2.5798)	Prec@1 38.000 (37.137)	Prec@5 71.500 (68.049)
Epoch: [13][2970/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5616 (2.5796)	Prec@1 41.500 (37.138)	Prec@5 69.000 (68.053)
Epoch: [13][2980/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3566 (2.5797)	Prec@1 44.000 (37.143)	Prec@5 72.000 (68.051)
Epoch: [13][2990/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6582 (2.5799)	Prec@1 41.500 (37.142)	Prec@5 66.000 (68.045)
Epoch: [13][3000/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6165 (2.5797)	Prec@1 34.500 (37.143)	Prec@5 69.000 (68.047)
Epoch: [13][3010/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5565 (2.5798)	Prec@1 31.500 (37.139)	Prec@5 64.500 (68.046)
Epoch: [13][3020/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4581 (2.5798)	Prec@1 38.500 (37.143)	Prec@5 71.000 (68.047)
Epoch: [13][3030/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5230 (2.5797)	Prec@1 38.500 (37.145)	Prec@5 69.500 (68.049)
Epoch: [13][3040/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.8294 (2.5800)	Prec@1 28.000 (37.137)	Prec@5 63.500 (68.043)
Epoch: [13][3050/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6539 (2.5801)	Prec@1 37.500 (37.135)	Prec@5 65.000 (68.041)
Epoch: [13][3060/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5232 (2.5801)	Prec@1 35.500 (37.132)	Prec@5 70.000 (68.040)
Epoch: [13][3070/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5224 (2.5801)	Prec@1 37.000 (37.133)	Prec@5 72.000 (68.038)
Epoch: [13][3080/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5686 (2.5799)	Prec@1 42.000 (37.139)	Prec@5 69.000 (68.038)
Epoch: [13][3090/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.8061 (2.5800)	Prec@1 30.500 (37.136)	Prec@5 65.000 (68.035)
Epoch: [13][3100/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.8642 (2.5803)	Prec@1 37.500 (37.132)	Prec@5 63.500 (68.029)
Epoch: [13][3110/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5104 (2.5802)	Prec@1 41.000 (37.133)	Prec@5 68.000 (68.029)
Epoch: [13][3120/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2683 (2.5802)	Prec@1 45.000 (37.132)	Prec@5 76.000 (68.029)
Epoch: [13][3130/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5697 (2.5802)	Prec@1 41.000 (37.136)	Prec@5 70.500 (68.031)
Epoch: [13][3140/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8372 (2.5802)	Prec@1 36.000 (37.134)	Prec@5 59.000 (68.031)
Epoch: [13][3150/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4764 (2.5801)	Prec@1 37.000 (37.135)	Prec@5 70.000 (68.033)
Epoch: [13][3160/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6486 (2.5800)	Prec@1 34.000 (37.137)	Prec@5 68.000 (68.039)
Epoch: [13][3170/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.7153 (2.5801)	Prec@1 31.500 (37.136)	Prec@5 64.000 (68.038)
Epoch: [13][3180/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6221 (2.5798)	Prec@1 37.500 (37.138)	Prec@5 66.500 (68.045)
Epoch: [13][3190/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.7419 (2.5799)	Prec@1 36.500 (37.136)	Prec@5 63.500 (68.043)
Epoch: [13][3200/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7545 (2.5800)	Prec@1 34.500 (37.134)	Prec@5 64.500 (68.042)
Epoch: [13][3210/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5018 (2.5800)	Prec@1 39.500 (37.135)	Prec@5 68.000 (68.042)
Epoch: [13][3220/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.6615 (2.5799)	Prec@1 34.500 (37.138)	Prec@5 70.000 (68.046)
Epoch: [13][3230/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.5327 (2.5799)	Prec@1 37.000 (37.140)	Prec@5 67.000 (68.046)
Epoch: [13][3240/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.2693 (2.5796)	Prec@1 44.500 (37.145)	Prec@5 72.000 (68.053)
Epoch: [13][3250/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5523 (2.5797)	Prec@1 38.000 (37.146)	Prec@5 67.000 (68.051)
Epoch: [13][3260/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4855 (2.5797)	Prec@1 39.500 (37.149)	Prec@5 71.000 (68.053)
Epoch: [13][3270/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6038 (2.5795)	Prec@1 33.000 (37.154)	Prec@5 70.500 (68.058)
Epoch: [13][3280/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5888 (2.5798)	Prec@1 40.000 (37.155)	Prec@5 68.000 (68.053)
Epoch: [13][3290/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5014 (2.5796)	Prec@1 38.500 (37.158)	Prec@5 71.000 (68.055)
Epoch: [13][3300/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3824 (2.5795)	Prec@1 43.000 (37.157)	Prec@5 73.500 (68.060)
Epoch: [13][3310/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5837 (2.5796)	Prec@1 37.500 (37.159)	Prec@5 67.500 (68.059)
Epoch: [13][3320/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4465 (2.5794)	Prec@1 40.500 (37.160)	Prec@5 71.500 (68.063)
Epoch: [13][3330/9018]	Time 0.645 (0.615)	Data 0.001 (0.001)	Loss 2.5237 (2.5795)	Prec@1 43.000 (37.157)	Prec@5 67.000 (68.060)
Epoch: [13][3340/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5620 (2.5795)	Prec@1 38.000 (37.159)	Prec@5 70.000 (68.059)
Epoch: [13][3350/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3781 (2.5797)	Prec@1 40.500 (37.158)	Prec@5 69.000 (68.053)
Epoch: [13][3360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4367 (2.5797)	Prec@1 42.000 (37.158)	Prec@5 72.500 (68.053)
Epoch: [13][3370/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5513 (2.5797)	Prec@1 34.500 (37.154)	Prec@5 67.000 (68.052)
Epoch: [13][3380/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6889 (2.5797)	Prec@1 38.000 (37.154)	Prec@5 69.500 (68.053)
Epoch: [13][3390/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5734 (2.5794)	Prec@1 35.500 (37.160)	Prec@5 69.000 (68.059)
Epoch: [13][3400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7537 (2.5795)	Prec@1 32.500 (37.157)	Prec@5 66.500 (68.058)
Epoch: [13][3410/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8367 (2.5796)	Prec@1 34.500 (37.156)	Prec@5 63.000 (68.058)
Epoch: [13][3420/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7128 (2.5797)	Prec@1 36.000 (37.153)	Prec@5 65.000 (68.053)
Epoch: [13][3430/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4868 (2.5801)	Prec@1 38.500 (37.142)	Prec@5 69.000 (68.046)
Epoch: [13][3440/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7226 (2.5806)	Prec@1 32.000 (37.130)	Prec@5 66.500 (68.039)
Epoch: [13][3450/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7641 (2.5808)	Prec@1 39.500 (37.129)	Prec@5 65.000 (68.038)
Epoch: [13][3460/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7816 (2.5810)	Prec@1 33.500 (37.126)	Prec@5 62.000 (68.031)
Epoch: [13][3470/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6067 (2.5811)	Prec@1 39.000 (37.122)	Prec@5 67.000 (68.027)
Epoch: [13][3480/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8192 (2.5812)	Prec@1 34.000 (37.122)	Prec@5 61.500 (68.019)
Epoch: [13][3490/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3357 (2.5811)	Prec@1 42.000 (37.123)	Prec@5 71.500 (68.021)
Epoch: [13][3500/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 2.4680 (2.5811)	Prec@1 38.000 (37.125)	Prec@5 71.000 (68.020)
Epoch: [13][3510/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4282 (2.5810)	Prec@1 36.500 (37.127)	Prec@5 69.000 (68.017)
Epoch: [13][3520/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5023 (2.5810)	Prec@1 34.000 (37.126)	Prec@5 70.000 (68.017)
Epoch: [13][3530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5725 (2.5810)	Prec@1 39.000 (37.126)	Prec@5 68.500 (68.018)
Epoch: [13][3540/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6616 (2.5810)	Prec@1 35.500 (37.128)	Prec@5 66.000 (68.018)
Epoch: [13][3550/9018]	Time 0.760 (0.615)	Data 0.001 (0.001)	Loss 2.8183 (2.5810)	Prec@1 33.000 (37.128)	Prec@5 63.500 (68.020)
Epoch: [13][3560/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6713 (2.5810)	Prec@1 32.000 (37.123)	Prec@5 67.000 (68.019)
Epoch: [13][3570/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5924 (2.5809)	Prec@1 37.000 (37.126)	Prec@5 64.000 (68.018)
Epoch: [13][3580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4968 (2.5808)	Prec@1 38.500 (37.129)	Prec@5 69.000 (68.021)
Epoch: [13][3590/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.2843 (2.5806)	Prec@1 43.000 (37.133)	Prec@5 74.000 (68.024)
Epoch: [13][3600/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2610 (2.5807)	Prec@1 42.000 (37.132)	Prec@5 74.000 (68.025)
Epoch: [13][3610/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4611 (2.5806)	Prec@1 41.000 (37.136)	Prec@5 66.500 (68.024)
Epoch: [13][3620/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4626 (2.5806)	Prec@1 38.500 (37.138)	Prec@5 74.000 (68.023)
Epoch: [13][3630/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6108 (2.5806)	Prec@1 37.000 (37.137)	Prec@5 67.000 (68.020)
Epoch: [13][3640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4899 (2.5808)	Prec@1 37.000 (37.135)	Prec@5 73.000 (68.018)
Epoch: [13][3650/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3310 (2.5807)	Prec@1 42.500 (37.140)	Prec@5 72.500 (68.019)
Epoch: [13][3660/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6033 (2.5805)	Prec@1 34.500 (37.142)	Prec@5 67.500 (68.026)
Epoch: [13][3670/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5249 (2.5805)	Prec@1 36.000 (37.134)	Prec@5 70.500 (68.024)
Epoch: [13][3680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4710 (2.5806)	Prec@1 34.500 (37.132)	Prec@5 68.500 (68.023)
Epoch: [13][3690/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5863 (2.5806)	Prec@1 38.500 (37.130)	Prec@5 69.000 (68.024)
Epoch: [13][3700/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.3661 (2.5805)	Prec@1 38.000 (37.129)	Prec@5 77.000 (68.030)
Epoch: [13][3710/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6491 (2.5807)	Prec@1 35.000 (37.127)	Prec@5 66.000 (68.026)
Epoch: [13][3720/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7217 (2.5806)	Prec@1 33.500 (37.124)	Prec@5 61.000 (68.026)
Epoch: [13][3730/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2756 (2.5804)	Prec@1 43.500 (37.130)	Prec@5 75.000 (68.032)
Epoch: [13][3740/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6185 (2.5803)	Prec@1 36.000 (37.130)	Prec@5 64.000 (68.035)
Epoch: [13][3750/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4065 (2.5802)	Prec@1 38.000 (37.131)	Prec@5 68.000 (68.036)
Epoch: [13][3760/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6575 (2.5801)	Prec@1 39.000 (37.132)	Prec@5 69.500 (68.041)
Epoch: [13][3770/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.6853 (2.5803)	Prec@1 35.500 (37.128)	Prec@5 68.000 (68.038)
Epoch: [13][3780/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 3.0701 (2.5803)	Prec@1 32.000 (37.128)	Prec@5 60.500 (68.039)
Epoch: [13][3790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7851 (2.5803)	Prec@1 35.000 (37.124)	Prec@5 61.000 (68.037)
Epoch: [13][3800/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5793 (2.5802)	Prec@1 41.000 (37.126)	Prec@5 68.000 (68.039)
Epoch: [13][3810/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.3165 (2.5800)	Prec@1 47.500 (37.130)	Prec@5 70.000 (68.042)
Epoch: [13][3820/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7183 (2.5799)	Prec@1 35.000 (37.131)	Prec@5 66.500 (68.043)
Epoch: [13][3830/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.6172 (2.5802)	Prec@1 40.500 (37.124)	Prec@5 68.500 (68.040)
Epoch: [13][3840/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3903 (2.5801)	Prec@1 43.000 (37.124)	Prec@5 74.500 (68.043)
Epoch: [13][3850/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6502 (2.5801)	Prec@1 32.500 (37.122)	Prec@5 67.000 (68.043)
Epoch: [13][3860/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4738 (2.5802)	Prec@1 43.000 (37.125)	Prec@5 71.500 (68.042)
Epoch: [13][3870/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5297 (2.5802)	Prec@1 39.500 (37.128)	Prec@5 69.500 (68.042)
Epoch: [13][3880/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.5796 (2.5801)	Prec@1 36.500 (37.131)	Prec@5 66.000 (68.043)
Epoch: [13][3890/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6014 (2.5799)	Prec@1 39.000 (37.134)	Prec@5 67.000 (68.049)
Epoch: [13][3900/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.8352 (2.5799)	Prec@1 33.000 (37.135)	Prec@5 64.500 (68.046)
Epoch: [13][3910/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5436 (2.5798)	Prec@1 42.000 (37.137)	Prec@5 64.000 (68.046)
Epoch: [13][3920/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.5817 (2.5797)	Prec@1 38.500 (37.137)	Prec@5 70.000 (68.045)
Epoch: [13][3930/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4701 (2.5797)	Prec@1 40.000 (37.135)	Prec@5 68.500 (68.045)
Epoch: [13][3940/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6979 (2.5797)	Prec@1 37.000 (37.137)	Prec@5 68.500 (68.047)
Epoch: [13][3950/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4479 (2.5797)	Prec@1 37.000 (37.135)	Prec@5 67.000 (68.043)
Epoch: [13][3960/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5065 (2.5798)	Prec@1 38.500 (37.133)	Prec@5 69.000 (68.041)
Epoch: [13][3970/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5866 (2.5798)	Prec@1 39.500 (37.133)	Prec@5 68.000 (68.040)
Epoch: [13][3980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4983 (2.5795)	Prec@1 38.500 (37.137)	Prec@5 69.500 (68.044)
Epoch: [13][3990/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6076 (2.5793)	Prec@1 39.000 (37.142)	Prec@5 69.000 (68.046)
Epoch: [13][4000/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4703 (2.5793)	Prec@1 41.000 (37.143)	Prec@5 71.000 (68.050)
Epoch: [13][4010/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5471 (2.5792)	Prec@1 37.000 (37.144)	Prec@5 68.500 (68.051)
Epoch: [13][4020/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6576 (2.5793)	Prec@1 36.000 (37.141)	Prec@5 66.000 (68.049)
Epoch: [13][4030/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4836 (2.5793)	Prec@1 35.000 (37.140)	Prec@5 68.000 (68.047)
Epoch: [13][4040/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6872 (2.5792)	Prec@1 35.000 (37.141)	Prec@5 66.500 (68.047)
Epoch: [13][4050/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5535 (2.5793)	Prec@1 36.000 (37.142)	Prec@5 70.500 (68.049)
Epoch: [13][4060/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5541 (2.5794)	Prec@1 38.500 (37.138)	Prec@5 69.500 (68.047)
Epoch: [13][4070/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4447 (2.5793)	Prec@1 39.500 (37.140)	Prec@5 69.000 (68.051)
Epoch: [13][4080/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5328 (2.5793)	Prec@1 40.000 (37.141)	Prec@5 69.500 (68.051)
Epoch: [13][4090/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4602 (2.5793)	Prec@1 36.500 (37.138)	Prec@5 67.000 (68.050)
Epoch: [13][4100/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7489 (2.5793)	Prec@1 32.500 (37.139)	Prec@5 64.500 (68.049)
Epoch: [13][4110/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7301 (2.5794)	Prec@1 38.000 (37.137)	Prec@5 66.000 (68.044)
Epoch: [13][4120/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.6890 (2.5796)	Prec@1 38.000 (37.134)	Prec@5 64.500 (68.040)
Epoch: [13][4130/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4678 (2.5797)	Prec@1 41.000 (37.134)	Prec@5 69.500 (68.038)
Epoch: [13][4140/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7880 (2.5798)	Prec@1 32.000 (37.134)	Prec@5 64.500 (68.035)
Epoch: [13][4150/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.2130 (2.5797)	Prec@1 44.000 (37.138)	Prec@5 77.000 (68.036)
Epoch: [13][4160/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.1515 (2.5796)	Prec@1 46.500 (37.143)	Prec@5 74.500 (68.033)
Epoch: [13][4170/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5291 (2.5795)	Prec@1 36.000 (37.144)	Prec@5 71.500 (68.034)
Epoch: [13][4180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4423 (2.5794)	Prec@1 41.500 (37.150)	Prec@5 69.500 (68.038)
Epoch: [13][4190/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5172 (2.5792)	Prec@1 39.500 (37.152)	Prec@5 67.500 (68.040)
Epoch: [13][4200/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8734 (2.5793)	Prec@1 32.000 (37.149)	Prec@5 62.000 (68.040)
Epoch: [13][4210/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 2.5854 (2.5793)	Prec@1 40.000 (37.150)	Prec@5 69.000 (68.042)
Epoch: [13][4220/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6752 (2.5793)	Prec@1 33.500 (37.153)	Prec@5 65.000 (68.040)
Epoch: [13][4230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5526 (2.5791)	Prec@1 34.500 (37.153)	Prec@5 68.500 (68.047)
Epoch: [13][4240/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5872 (2.5790)	Prec@1 34.500 (37.155)	Prec@5 68.500 (68.051)
Epoch: [13][4250/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6189 (2.5789)	Prec@1 35.500 (37.157)	Prec@5 66.500 (68.052)
Epoch: [13][4260/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.2759 (2.5787)	Prec@1 44.000 (37.159)	Prec@5 71.000 (68.055)
Epoch: [13][4270/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7002 (2.5787)	Prec@1 36.000 (37.159)	Prec@5 65.000 (68.052)
Epoch: [13][4280/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7644 (2.5788)	Prec@1 37.500 (37.157)	Prec@5 62.000 (68.049)
Epoch: [13][4290/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4698 (2.5787)	Prec@1 42.000 (37.159)	Prec@5 70.000 (68.054)
Epoch: [13][4300/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6061 (2.5787)	Prec@1 39.000 (37.161)	Prec@5 69.500 (68.052)
Epoch: [13][4310/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.9859 (2.5788)	Prec@1 29.000 (37.157)	Prec@5 59.000 (68.049)
Epoch: [13][4320/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7071 (2.5787)	Prec@1 34.500 (37.160)	Prec@5 63.000 (68.049)
Epoch: [13][4330/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7056 (2.5787)	Prec@1 37.500 (37.159)	Prec@5 71.000 (68.049)
Epoch: [13][4340/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5683 (2.5786)	Prec@1 35.000 (37.161)	Prec@5 68.500 (68.052)
Epoch: [13][4350/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6173 (2.5785)	Prec@1 34.000 (37.163)	Prec@5 68.500 (68.052)
Epoch: [13][4360/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4764 (2.5784)	Prec@1 38.000 (37.165)	Prec@5 69.500 (68.055)
Epoch: [13][4370/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6825 (2.5785)	Prec@1 40.000 (37.165)	Prec@5 65.500 (68.053)
Epoch: [13][4380/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3883 (2.5784)	Prec@1 40.000 (37.167)	Prec@5 72.000 (68.056)
Epoch: [13][4390/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5296 (2.5783)	Prec@1 34.000 (37.166)	Prec@5 69.000 (68.059)
Epoch: [13][4400/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3995 (2.5781)	Prec@1 43.000 (37.172)	Prec@5 73.000 (68.063)
Epoch: [13][4410/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6325 (2.5781)	Prec@1 35.000 (37.170)	Prec@5 67.500 (68.063)
Epoch: [13][4420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5201 (2.5780)	Prec@1 38.000 (37.169)	Prec@5 70.000 (68.065)
Epoch: [13][4430/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5941 (2.5780)	Prec@1 40.500 (37.171)	Prec@5 66.000 (68.066)
Epoch: [13][4440/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4984 (2.5781)	Prec@1 40.000 (37.167)	Prec@5 69.500 (68.063)
Epoch: [13][4450/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5220 (2.5782)	Prec@1 37.500 (37.165)	Prec@5 66.500 (68.060)
Epoch: [13][4460/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6883 (2.5783)	Prec@1 34.000 (37.166)	Prec@5 65.500 (68.060)
Epoch: [13][4470/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5116 (2.5783)	Prec@1 41.500 (37.170)	Prec@5 73.500 (68.060)
Epoch: [13][4480/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6653 (2.5784)	Prec@1 32.500 (37.167)	Prec@5 66.500 (68.060)
Epoch: [13][4490/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.4686 (2.5784)	Prec@1 38.500 (37.165)	Prec@5 69.500 (68.057)
Epoch: [13][4500/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4894 (2.5783)	Prec@1 36.500 (37.169)	Prec@5 68.000 (68.060)
Epoch: [13][4510/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7920 (2.5783)	Prec@1 35.000 (37.167)	Prec@5 61.500 (68.061)
Epoch: [13][4520/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5317 (2.5782)	Prec@1 40.500 (37.170)	Prec@5 72.500 (68.066)
Epoch: [13][4530/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5902 (2.5782)	Prec@1 38.500 (37.172)	Prec@5 62.500 (68.065)
Epoch: [13][4540/9018]	Time 0.756 (0.615)	Data 0.001 (0.001)	Loss 2.5626 (2.5783)	Prec@1 36.000 (37.167)	Prec@5 68.000 (68.060)
Epoch: [13][4550/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6156 (2.5783)	Prec@1 38.500 (37.168)	Prec@5 67.000 (68.060)
Epoch: [13][4560/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5165 (2.5783)	Prec@1 41.500 (37.167)	Prec@5 70.500 (68.057)
Epoch: [13][4570/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4543 (2.5783)	Prec@1 36.500 (37.168)	Prec@5 71.000 (68.057)
Epoch: [13][4580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4142 (2.5783)	Prec@1 40.000 (37.164)	Prec@5 70.000 (68.054)
Epoch: [13][4590/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4334 (2.5784)	Prec@1 39.000 (37.165)	Prec@5 73.000 (68.051)
Epoch: [13][4600/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3921 (2.5785)	Prec@1 41.500 (37.164)	Prec@5 70.500 (68.045)
Epoch: [13][4610/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5534 (2.5785)	Prec@1 31.500 (37.162)	Prec@5 67.000 (68.043)
Epoch: [13][4620/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.8511 (2.5786)	Prec@1 32.500 (37.157)	Prec@5 62.000 (68.040)
Epoch: [13][4630/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6725 (2.5787)	Prec@1 34.500 (37.158)	Prec@5 63.500 (68.038)
Epoch: [13][4640/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4066 (2.5786)	Prec@1 41.000 (37.159)	Prec@5 70.000 (68.039)
Epoch: [13][4650/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6843 (2.5785)	Prec@1 34.000 (37.160)	Prec@5 70.000 (68.042)
Epoch: [13][4660/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5440 (2.5786)	Prec@1 35.000 (37.157)	Prec@5 69.500 (68.041)
Epoch: [13][4670/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4499 (2.5787)	Prec@1 39.500 (37.153)	Prec@5 69.500 (68.038)
Epoch: [13][4680/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5338 (2.5787)	Prec@1 42.500 (37.152)	Prec@5 66.500 (68.038)
Epoch: [13][4690/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6296 (2.5786)	Prec@1 34.000 (37.152)	Prec@5 70.500 (68.041)
Epoch: [13][4700/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7441 (2.5789)	Prec@1 34.000 (37.149)	Prec@5 63.500 (68.034)
Epoch: [13][4710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6602 (2.5788)	Prec@1 33.500 (37.150)	Prec@5 65.500 (68.035)
Epoch: [13][4720/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.8961 (2.5789)	Prec@1 30.500 (37.152)	Prec@5 66.500 (68.033)
Epoch: [13][4730/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5271 (2.5790)	Prec@1 37.500 (37.151)	Prec@5 68.500 (68.031)
Epoch: [13][4740/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6210 (2.5790)	Prec@1 33.000 (37.149)	Prec@5 66.500 (68.029)
Epoch: [13][4750/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4385 (2.5790)	Prec@1 40.500 (37.151)	Prec@5 70.000 (68.029)
Epoch: [13][4760/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5705 (2.5791)	Prec@1 38.000 (37.151)	Prec@5 68.000 (68.029)
Epoch: [13][4770/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6665 (2.5791)	Prec@1 39.000 (37.152)	Prec@5 63.500 (68.028)
Epoch: [13][4780/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5319 (2.5792)	Prec@1 35.000 (37.151)	Prec@5 65.500 (68.026)
Epoch: [13][4790/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5741 (2.5793)	Prec@1 37.000 (37.150)	Prec@5 66.000 (68.025)
Epoch: [13][4800/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3470 (2.5791)	Prec@1 40.500 (37.159)	Prec@5 76.000 (68.027)
Epoch: [13][4810/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7123 (2.5791)	Prec@1 37.000 (37.163)	Prec@5 69.000 (68.028)
Epoch: [13][4820/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.6331 (2.5792)	Prec@1 33.000 (37.159)	Prec@5 68.000 (68.026)
Epoch: [13][4830/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5224 (2.5792)	Prec@1 36.000 (37.158)	Prec@5 70.000 (68.024)
Epoch: [13][4840/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6931 (2.5791)	Prec@1 35.000 (37.159)	Prec@5 64.500 (68.024)
Epoch: [13][4850/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5717 (2.5790)	Prec@1 34.000 (37.160)	Prec@5 68.000 (68.026)
Epoch: [13][4860/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5120 (2.5789)	Prec@1 37.500 (37.160)	Prec@5 68.000 (68.029)
Epoch: [13][4870/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.7557 (2.5790)	Prec@1 35.000 (37.158)	Prec@5 62.000 (68.026)
Epoch: [13][4880/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7889 (2.5790)	Prec@1 31.500 (37.157)	Prec@5 63.000 (68.026)
Epoch: [13][4890/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6525 (2.5790)	Prec@1 40.000 (37.157)	Prec@5 65.500 (68.024)
Epoch: [13][4900/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6069 (2.5788)	Prec@1 36.500 (37.161)	Prec@5 65.000 (68.026)
Epoch: [13][4910/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8237 (2.5788)	Prec@1 34.000 (37.161)	Prec@5 64.500 (68.026)
Epoch: [13][4920/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3045 (2.5788)	Prec@1 45.000 (37.162)	Prec@5 72.500 (68.027)
Epoch: [13][4930/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6378 (2.5789)	Prec@1 40.000 (37.165)	Prec@5 65.500 (68.028)
Epoch: [13][4940/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3506 (2.5787)	Prec@1 45.000 (37.168)	Prec@5 70.500 (68.031)
Epoch: [13][4950/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4971 (2.5787)	Prec@1 44.000 (37.168)	Prec@5 71.500 (68.034)
Epoch: [13][4960/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5615 (2.5787)	Prec@1 39.000 (37.169)	Prec@5 65.500 (68.033)
Epoch: [13][4970/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5243 (2.5788)	Prec@1 41.000 (37.167)	Prec@5 67.500 (68.034)
Epoch: [13][4980/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4532 (2.5787)	Prec@1 43.000 (37.168)	Prec@5 72.000 (68.032)
Epoch: [13][4990/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5966 (2.5787)	Prec@1 34.000 (37.168)	Prec@5 67.500 (68.031)
Epoch: [13][5000/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6032 (2.5788)	Prec@1 37.500 (37.167)	Prec@5 68.000 (68.030)
Epoch: [13][5010/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7123 (2.5789)	Prec@1 33.500 (37.165)	Prec@5 68.000 (68.028)
Epoch: [13][5020/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5360 (2.5788)	Prec@1 39.000 (37.165)	Prec@5 69.000 (68.028)
Epoch: [13][5030/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4235 (2.5786)	Prec@1 40.000 (37.170)	Prec@5 70.000 (68.031)
Epoch: [13][5040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5050 (2.5787)	Prec@1 36.500 (37.169)	Prec@5 71.500 (68.029)
Epoch: [13][5050/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.3337 (2.5787)	Prec@1 40.000 (37.167)	Prec@5 71.500 (68.030)
Epoch: [13][5060/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4936 (2.5788)	Prec@1 39.500 (37.164)	Prec@5 66.500 (68.028)
Epoch: [13][5070/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6017 (2.5787)	Prec@1 38.000 (37.166)	Prec@5 70.000 (68.030)
Epoch: [13][5080/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5244 (2.5788)	Prec@1 38.000 (37.165)	Prec@5 71.000 (68.029)
Epoch: [13][5090/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5400 (2.5789)	Prec@1 40.500 (37.163)	Prec@5 65.500 (68.025)
Epoch: [13][5100/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5418 (2.5789)	Prec@1 36.500 (37.160)	Prec@5 72.500 (68.028)
Epoch: [13][5110/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7265 (2.5789)	Prec@1 38.000 (37.162)	Prec@5 63.500 (68.030)
Epoch: [13][5120/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6363 (2.5788)	Prec@1 29.500 (37.161)	Prec@5 67.500 (68.033)
Epoch: [13][5130/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6262 (2.5788)	Prec@1 36.000 (37.161)	Prec@5 69.000 (68.034)
Epoch: [13][5140/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6262 (2.5788)	Prec@1 37.000 (37.162)	Prec@5 68.500 (68.035)
Epoch: [13][5150/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.6111 (2.5789)	Prec@1 35.500 (37.163)	Prec@5 67.500 (68.034)
Epoch: [13][5160/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4923 (2.5787)	Prec@1 38.500 (37.166)	Prec@5 69.000 (68.037)
Epoch: [13][5170/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6302 (2.5787)	Prec@1 39.500 (37.165)	Prec@5 69.000 (68.039)
Epoch: [13][5180/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5521 (2.5788)	Prec@1 33.500 (37.164)	Prec@5 71.000 (68.037)
Epoch: [13][5190/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5140 (2.5789)	Prec@1 39.500 (37.160)	Prec@5 71.500 (68.035)
Epoch: [13][5200/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.8030 (2.5791)	Prec@1 32.500 (37.159)	Prec@5 62.000 (68.031)
Epoch: [13][5210/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5909 (2.5791)	Prec@1 38.500 (37.159)	Prec@5 71.500 (68.031)
Epoch: [13][5220/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6125 (2.5791)	Prec@1 38.500 (37.159)	Prec@5 63.000 (68.031)
Epoch: [13][5230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8011 (2.5792)	Prec@1 31.500 (37.154)	Prec@5 67.500 (68.030)
Epoch: [13][5240/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.3014 (2.5792)	Prec@1 41.500 (37.153)	Prec@5 72.000 (68.030)
Epoch: [13][5250/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6453 (2.5793)	Prec@1 32.000 (37.149)	Prec@5 65.000 (68.028)
Epoch: [13][5260/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5175 (2.5792)	Prec@1 41.000 (37.148)	Prec@5 68.000 (68.026)
Epoch: [13][5270/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3776 (2.5792)	Prec@1 43.000 (37.149)	Prec@5 73.000 (68.028)
Epoch: [13][5280/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6179 (2.5791)	Prec@1 37.500 (37.150)	Prec@5 66.000 (68.030)
Epoch: [13][5290/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6244 (2.5790)	Prec@1 36.000 (37.152)	Prec@5 66.000 (68.031)
Epoch: [13][5300/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5531 (2.5789)	Prec@1 36.500 (37.150)	Prec@5 66.500 (68.033)
Epoch: [13][5310/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6110 (2.5790)	Prec@1 38.000 (37.149)	Prec@5 69.000 (68.034)
Epoch: [13][5320/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7198 (2.5790)	Prec@1 31.000 (37.152)	Prec@5 66.000 (68.035)
Epoch: [13][5330/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.8118 (2.5790)	Prec@1 36.500 (37.154)	Prec@5 63.000 (68.034)
Epoch: [13][5340/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3268 (2.5790)	Prec@1 43.500 (37.153)	Prec@5 72.500 (68.035)
Epoch: [13][5350/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6332 (2.5791)	Prec@1 36.500 (37.150)	Prec@5 64.500 (68.031)
Epoch: [13][5360/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6025 (2.5793)	Prec@1 39.000 (37.147)	Prec@5 66.500 (68.027)
Epoch: [13][5370/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.5220 (2.5792)	Prec@1 32.000 (37.150)	Prec@5 72.500 (68.029)
Epoch: [13][5380/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6289 (2.5793)	Prec@1 36.000 (37.148)	Prec@5 70.500 (68.030)
Epoch: [13][5390/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5503 (2.5794)	Prec@1 43.500 (37.146)	Prec@5 70.500 (68.027)
Epoch: [13][5400/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5283 (2.5795)	Prec@1 36.000 (37.144)	Prec@5 71.000 (68.025)
Epoch: [13][5410/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5641 (2.5795)	Prec@1 36.500 (37.147)	Prec@5 71.500 (68.027)
Epoch: [13][5420/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4344 (2.5795)	Prec@1 40.000 (37.147)	Prec@5 71.000 (68.028)
Epoch: [13][5430/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7244 (2.5797)	Prec@1 36.000 (37.142)	Prec@5 66.500 (68.026)
Epoch: [13][5440/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3286 (2.5796)	Prec@1 39.500 (37.143)	Prec@5 70.000 (68.026)
Epoch: [13][5450/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7212 (2.5796)	Prec@1 36.000 (37.144)	Prec@5 66.500 (68.025)
Epoch: [13][5460/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4436 (2.5795)	Prec@1 38.500 (37.143)	Prec@5 69.500 (68.028)
Epoch: [13][5470/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4583 (2.5794)	Prec@1 44.500 (37.146)	Prec@5 70.000 (68.030)
Epoch: [13][5480/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.7520 (2.5795)	Prec@1 34.000 (37.144)	Prec@5 66.500 (68.030)
Epoch: [13][5490/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7261 (2.5795)	Prec@1 30.500 (37.141)	Prec@5 67.500 (68.031)
Epoch: [13][5500/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6216 (2.5795)	Prec@1 35.500 (37.143)	Prec@5 66.000 (68.031)
Epoch: [13][5510/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7342 (2.5795)	Prec@1 38.000 (37.146)	Prec@5 66.000 (68.031)
Epoch: [13][5520/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5012 (2.5795)	Prec@1 40.000 (37.145)	Prec@5 65.500 (68.031)
Epoch: [13][5530/9018]	Time 0.705 (0.615)	Data 0.001 (0.001)	Loss 2.6349 (2.5796)	Prec@1 36.000 (37.141)	Prec@5 67.000 (68.030)
Epoch: [13][5540/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6231 (2.5796)	Prec@1 36.500 (37.141)	Prec@5 69.000 (68.029)
Epoch: [13][5550/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4226 (2.5797)	Prec@1 41.500 (37.139)	Prec@5 74.000 (68.026)
Epoch: [13][5560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6580 (2.5797)	Prec@1 40.000 (37.142)	Prec@5 66.500 (68.025)
Epoch: [13][5570/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.7083 (2.5796)	Prec@1 35.000 (37.145)	Prec@5 58.000 (68.025)
Epoch: [13][5580/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7012 (2.5794)	Prec@1 37.500 (37.149)	Prec@5 66.000 (68.027)
Epoch: [13][5590/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6986 (2.5794)	Prec@1 38.500 (37.148)	Prec@5 67.000 (68.027)
Epoch: [13][5600/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7190 (2.5795)	Prec@1 34.500 (37.146)	Prec@5 65.500 (68.025)
Epoch: [13][5610/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3843 (2.5794)	Prec@1 42.500 (37.151)	Prec@5 72.500 (68.028)
Epoch: [13][5620/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5765 (2.5793)	Prec@1 36.500 (37.151)	Prec@5 67.500 (68.028)
Epoch: [13][5630/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6340 (2.5793)	Prec@1 35.500 (37.153)	Prec@5 68.500 (68.029)
Epoch: [13][5640/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7632 (2.5793)	Prec@1 35.000 (37.154)	Prec@5 63.000 (68.029)
Epoch: [13][5650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6110 (2.5792)	Prec@1 35.000 (37.155)	Prec@5 67.000 (68.031)
Epoch: [13][5660/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6922 (2.5791)	Prec@1 35.500 (37.156)	Prec@5 68.000 (68.032)
Epoch: [13][5670/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6935 (2.5791)	Prec@1 31.000 (37.156)	Prec@5 62.000 (68.032)
Epoch: [13][5680/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7276 (2.5792)	Prec@1 37.000 (37.156)	Prec@5 64.000 (68.030)
Epoch: [13][5690/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6311 (2.5792)	Prec@1 38.000 (37.156)	Prec@5 68.500 (68.029)
Epoch: [13][5700/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5808 (2.5792)	Prec@1 39.000 (37.156)	Prec@5 63.000 (68.026)
Epoch: [13][5710/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3574 (2.5793)	Prec@1 47.500 (37.155)	Prec@5 73.500 (68.023)
Epoch: [13][5720/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6449 (2.5792)	Prec@1 37.000 (37.156)	Prec@5 67.000 (68.024)
Epoch: [13][5730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7857 (2.5793)	Prec@1 35.000 (37.155)	Prec@5 59.000 (68.023)
Epoch: [13][5740/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3900 (2.5793)	Prec@1 38.000 (37.155)	Prec@5 70.500 (68.022)
Epoch: [13][5750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7737 (2.5793)	Prec@1 35.500 (37.154)	Prec@5 64.500 (68.025)
Epoch: [13][5760/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.4896 (2.5794)	Prec@1 37.000 (37.151)	Prec@5 65.500 (68.022)
Epoch: [13][5770/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7435 (2.5794)	Prec@1 31.500 (37.148)	Prec@5 66.000 (68.024)
Epoch: [13][5780/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7436 (2.5796)	Prec@1 32.500 (37.144)	Prec@5 64.500 (68.023)
Epoch: [13][5790/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7995 (2.5796)	Prec@1 32.000 (37.143)	Prec@5 64.000 (68.022)
Epoch: [13][5800/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6181 (2.5797)	Prec@1 35.000 (37.142)	Prec@5 65.500 (68.019)
Epoch: [13][5810/9018]	Time 0.767 (0.615)	Data 0.001 (0.001)	Loss 2.8033 (2.5798)	Prec@1 36.500 (37.142)	Prec@5 65.000 (68.017)
Epoch: [13][5820/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4998 (2.5797)	Prec@1 39.500 (37.145)	Prec@5 69.500 (68.018)
Epoch: [13][5830/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5639 (2.5796)	Prec@1 41.000 (37.147)	Prec@5 68.000 (68.018)
Epoch: [13][5840/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4618 (2.5796)	Prec@1 38.000 (37.146)	Prec@5 72.500 (68.018)
Epoch: [13][5850/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7163 (2.5795)	Prec@1 34.500 (37.147)	Prec@5 64.500 (68.021)
Epoch: [13][5860/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4608 (2.5794)	Prec@1 40.500 (37.148)	Prec@5 72.500 (68.021)
Epoch: [13][5870/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3321 (2.5793)	Prec@1 41.500 (37.150)	Prec@5 71.500 (68.021)
Epoch: [13][5880/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6366 (2.5793)	Prec@1 33.000 (37.148)	Prec@5 68.500 (68.023)
Epoch: [13][5890/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6875 (2.5793)	Prec@1 37.500 (37.151)	Prec@5 66.000 (68.023)
Epoch: [13][5900/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7163 (2.5794)	Prec@1 36.000 (37.149)	Prec@5 62.000 (68.020)
Epoch: [13][5910/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5576 (2.5794)	Prec@1 38.000 (37.148)	Prec@5 70.000 (68.021)
Epoch: [13][5920/9018]	Time 0.616 (0.615)	Data 0.003 (0.001)	Loss 2.3403 (2.5795)	Prec@1 40.500 (37.145)	Prec@5 72.500 (68.018)
Epoch: [13][5930/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7532 (2.5795)	Prec@1 32.500 (37.145)	Prec@5 65.500 (68.016)
Epoch: [13][5940/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4021 (2.5795)	Prec@1 39.000 (37.146)	Prec@5 73.500 (68.016)
Epoch: [13][5950/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6586 (2.5794)	Prec@1 35.500 (37.147)	Prec@5 66.000 (68.018)
Epoch: [13][5960/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4649 (2.5793)	Prec@1 38.000 (37.148)	Prec@5 69.500 (68.021)
Epoch: [13][5970/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5683 (2.5792)	Prec@1 36.500 (37.153)	Prec@5 69.000 (68.024)
Epoch: [13][5980/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4035 (2.5791)	Prec@1 42.000 (37.155)	Prec@5 69.500 (68.026)
Epoch: [13][5990/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4752 (2.5790)	Prec@1 37.500 (37.156)	Prec@5 73.500 (68.026)
Epoch: [13][6000/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.2494 (2.5790)	Prec@1 44.500 (37.159)	Prec@5 72.000 (68.026)
Epoch: [13][6010/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5964 (2.5789)	Prec@1 36.500 (37.163)	Prec@5 67.500 (68.027)
Epoch: [13][6020/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5518 (2.5789)	Prec@1 35.000 (37.163)	Prec@5 66.000 (68.027)
Epoch: [13][6030/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4052 (2.5789)	Prec@1 37.000 (37.162)	Prec@5 69.500 (68.026)
Epoch: [13][6040/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4936 (2.5788)	Prec@1 40.000 (37.162)	Prec@5 72.000 (68.027)
Epoch: [13][6050/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8261 (2.5788)	Prec@1 34.500 (37.163)	Prec@5 62.500 (68.029)
Epoch: [13][6060/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7804 (2.5788)	Prec@1 34.500 (37.163)	Prec@5 64.500 (68.030)
Epoch: [13][6070/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4615 (2.5787)	Prec@1 38.000 (37.165)	Prec@5 68.000 (68.033)
Epoch: [13][6080/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6538 (2.5788)	Prec@1 38.500 (37.165)	Prec@5 66.000 (68.032)
Epoch: [13][6090/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.5641 (2.5786)	Prec@1 35.000 (37.165)	Prec@5 70.000 (68.035)
Epoch: [13][6100/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6326 (2.5786)	Prec@1 32.500 (37.166)	Prec@5 67.000 (68.037)
Epoch: [13][6110/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7613 (2.5786)	Prec@1 37.000 (37.166)	Prec@5 64.500 (68.037)
Epoch: [13][6120/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6321 (2.5786)	Prec@1 35.000 (37.165)	Prec@5 66.500 (68.037)
Epoch: [13][6130/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6929 (2.5786)	Prec@1 29.500 (37.163)	Prec@5 64.500 (68.035)
Epoch: [13][6140/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.9057 (2.5785)	Prec@1 32.500 (37.166)	Prec@5 63.000 (68.037)
Epoch: [13][6150/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6323 (2.5784)	Prec@1 38.500 (37.167)	Prec@5 64.500 (68.037)
Epoch: [13][6160/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4829 (2.5784)	Prec@1 36.500 (37.168)	Prec@5 69.500 (68.039)
Epoch: [13][6170/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4105 (2.5784)	Prec@1 41.500 (37.169)	Prec@5 71.500 (68.038)
Epoch: [13][6180/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4375 (2.5783)	Prec@1 38.000 (37.170)	Prec@5 70.000 (68.040)
Epoch: [13][6190/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5909 (2.5782)	Prec@1 32.500 (37.174)	Prec@5 69.000 (68.043)
Epoch: [13][6200/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.7182 (2.5782)	Prec@1 31.500 (37.172)	Prec@5 64.000 (68.039)
Epoch: [13][6210/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4798 (2.5783)	Prec@1 37.000 (37.171)	Prec@5 74.500 (68.038)
Epoch: [13][6220/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7067 (2.5783)	Prec@1 39.000 (37.172)	Prec@5 67.000 (68.040)
Epoch: [13][6230/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6957 (2.5784)	Prec@1 34.000 (37.169)	Prec@5 67.000 (68.039)
Epoch: [13][6240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6674 (2.5785)	Prec@1 37.500 (37.168)	Prec@5 61.500 (68.037)
Epoch: [13][6250/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5015 (2.5785)	Prec@1 39.000 (37.169)	Prec@5 65.000 (68.034)
Epoch: [13][6260/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8108 (2.5788)	Prec@1 34.500 (37.164)	Prec@5 63.500 (68.029)
Epoch: [13][6270/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6379 (2.5788)	Prec@1 39.000 (37.166)	Prec@5 72.500 (68.031)
Epoch: [13][6280/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4644 (2.5788)	Prec@1 37.500 (37.167)	Prec@5 74.000 (68.033)
Epoch: [13][6290/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4341 (2.5787)	Prec@1 42.000 (37.169)	Prec@5 72.500 (68.035)
Epoch: [13][6300/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3972 (2.5786)	Prec@1 40.000 (37.171)	Prec@5 72.500 (68.038)
Epoch: [13][6310/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4582 (2.5785)	Prec@1 36.000 (37.173)	Prec@5 70.000 (68.037)
Epoch: [13][6320/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5444 (2.5785)	Prec@1 34.000 (37.172)	Prec@5 66.500 (68.038)
Epoch: [13][6330/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5801 (2.5785)	Prec@1 39.000 (37.171)	Prec@5 67.500 (68.038)
Epoch: [13][6340/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4893 (2.5785)	Prec@1 38.500 (37.170)	Prec@5 68.500 (68.038)
Epoch: [13][6350/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7768 (2.5785)	Prec@1 35.000 (37.172)	Prec@5 64.000 (68.038)
Epoch: [13][6360/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5139 (2.5784)	Prec@1 39.000 (37.172)	Prec@5 70.500 (68.040)
Epoch: [13][6370/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6150 (2.5785)	Prec@1 35.000 (37.170)	Prec@5 67.500 (68.039)
Epoch: [13][6380/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5323 (2.5785)	Prec@1 39.500 (37.169)	Prec@5 70.000 (68.039)
Epoch: [13][6390/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4470 (2.5785)	Prec@1 40.500 (37.169)	Prec@5 67.000 (68.041)
Epoch: [13][6400/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6511 (2.5784)	Prec@1 31.500 (37.167)	Prec@5 64.500 (68.043)
Epoch: [13][6410/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4945 (2.5784)	Prec@1 38.000 (37.167)	Prec@5 73.500 (68.044)
Epoch: [13][6420/9018]	Time 0.695 (0.615)	Data 0.001 (0.001)	Loss 2.5976 (2.5783)	Prec@1 37.500 (37.167)	Prec@5 70.000 (68.046)
Epoch: [13][6430/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4464 (2.5784)	Prec@1 40.500 (37.165)	Prec@5 70.500 (68.043)
Epoch: [13][6440/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2582 (2.5785)	Prec@1 46.000 (37.166)	Prec@5 75.000 (68.041)
Epoch: [13][6450/9018]	Time 0.607 (0.615)	Data 0.002 (0.001)	Loss 2.3180 (2.5784)	Prec@1 41.500 (37.170)	Prec@5 72.000 (68.042)
Epoch: [13][6460/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6933 (2.5785)	Prec@1 38.500 (37.168)	Prec@5 66.000 (68.040)
Epoch: [13][6470/9018]	Time 0.754 (0.615)	Data 0.001 (0.001)	Loss 2.6020 (2.5786)	Prec@1 37.000 (37.167)	Prec@5 68.500 (68.034)
Epoch: [13][6480/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5512 (2.5786)	Prec@1 35.000 (37.168)	Prec@5 68.000 (68.035)
Epoch: [13][6490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5168 (2.5786)	Prec@1 38.500 (37.169)	Prec@5 69.500 (68.035)
Epoch: [13][6500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3877 (2.5786)	Prec@1 40.000 (37.170)	Prec@5 75.500 (68.034)
Epoch: [13][6510/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8762 (2.5785)	Prec@1 31.500 (37.172)	Prec@5 63.000 (68.034)
Epoch: [13][6520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6635 (2.5785)	Prec@1 33.500 (37.172)	Prec@5 63.000 (68.034)
Epoch: [13][6530/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6891 (2.5784)	Prec@1 35.500 (37.175)	Prec@5 68.500 (68.037)
Epoch: [13][6540/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7277 (2.5783)	Prec@1 31.000 (37.177)	Prec@5 65.000 (68.038)
Epoch: [13][6550/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5560 (2.5783)	Prec@1 37.500 (37.178)	Prec@5 69.500 (68.038)
Epoch: [13][6560/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2771 (2.5784)	Prec@1 41.500 (37.177)	Prec@5 72.500 (68.036)
Epoch: [13][6570/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5667 (2.5783)	Prec@1 35.500 (37.178)	Prec@5 66.000 (68.038)
Epoch: [13][6580/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.8733 (2.5784)	Prec@1 33.000 (37.177)	Prec@5 63.500 (68.037)
Epoch: [13][6590/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2814 (2.5784)	Prec@1 42.000 (37.175)	Prec@5 72.500 (68.037)
Epoch: [13][6600/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5683 (2.5784)	Prec@1 38.000 (37.175)	Prec@5 68.000 (68.037)
Epoch: [13][6610/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5941 (2.5784)	Prec@1 32.000 (37.174)	Prec@5 67.000 (68.038)
Epoch: [13][6620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5422 (2.5784)	Prec@1 39.500 (37.175)	Prec@5 68.000 (68.037)
Epoch: [13][6630/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6056 (2.5784)	Prec@1 37.500 (37.175)	Prec@5 66.500 (68.036)
Epoch: [13][6640/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5947 (2.5784)	Prec@1 35.500 (37.173)	Prec@5 68.500 (68.036)
Epoch: [13][6650/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3136 (2.5784)	Prec@1 43.000 (37.176)	Prec@5 75.000 (68.036)
Epoch: [13][6660/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3314 (2.5785)	Prec@1 36.500 (37.174)	Prec@5 74.500 (68.035)
Epoch: [13][6670/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6378 (2.5785)	Prec@1 36.000 (37.170)	Prec@5 67.500 (68.036)
Epoch: [13][6680/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6658 (2.5786)	Prec@1 33.500 (37.171)	Prec@5 66.000 (68.036)
Epoch: [13][6690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3026 (2.5786)	Prec@1 41.000 (37.170)	Prec@5 70.000 (68.036)
Epoch: [13][6700/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5025 (2.5787)	Prec@1 39.500 (37.166)	Prec@5 68.000 (68.034)
Epoch: [13][6710/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.8065 (2.5787)	Prec@1 37.500 (37.165)	Prec@5 64.500 (68.033)
Epoch: [13][6720/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7784 (2.5787)	Prec@1 32.500 (37.166)	Prec@5 63.500 (68.034)
Epoch: [13][6730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6962 (2.5787)	Prec@1 33.500 (37.166)	Prec@5 68.000 (68.035)
Epoch: [13][6740/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5329 (2.5788)	Prec@1 37.000 (37.165)	Prec@5 72.000 (68.035)
Epoch: [13][6750/9018]	Time 0.711 (0.615)	Data 0.001 (0.001)	Loss 2.6015 (2.5787)	Prec@1 35.500 (37.166)	Prec@5 67.500 (68.036)
Epoch: [13][6760/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6168 (2.5787)	Prec@1 36.500 (37.166)	Prec@5 67.500 (68.034)
Epoch: [13][6770/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5377 (2.5786)	Prec@1 38.000 (37.172)	Prec@5 67.000 (68.037)
Epoch: [13][6780/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4633 (2.5785)	Prec@1 41.500 (37.174)	Prec@5 70.000 (68.040)
Epoch: [13][6790/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5443 (2.5785)	Prec@1 40.500 (37.175)	Prec@5 67.500 (68.038)
Epoch: [13][6800/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.5540 (2.5785)	Prec@1 36.500 (37.176)	Prec@5 65.500 (68.038)
Epoch: [13][6810/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4425 (2.5786)	Prec@1 36.500 (37.173)	Prec@5 72.500 (68.039)
Epoch: [13][6820/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6836 (2.5786)	Prec@1 39.500 (37.174)	Prec@5 66.000 (68.038)
Epoch: [13][6830/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7422 (2.5785)	Prec@1 34.500 (37.175)	Prec@5 61.500 (68.039)
Epoch: [13][6840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5243 (2.5785)	Prec@1 39.500 (37.176)	Prec@5 67.500 (68.038)
Epoch: [13][6850/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5517 (2.5784)	Prec@1 37.500 (37.177)	Prec@5 67.000 (68.038)
Epoch: [13][6860/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6539 (2.5784)	Prec@1 38.000 (37.177)	Prec@5 64.500 (68.039)
Epoch: [13][6870/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1716 (2.5784)	Prec@1 44.000 (37.179)	Prec@5 77.000 (68.039)
Epoch: [13][6880/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8404 (2.5785)	Prec@1 33.500 (37.178)	Prec@5 62.500 (68.040)
Epoch: [13][6890/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6684 (2.5784)	Prec@1 37.000 (37.177)	Prec@5 64.500 (68.041)
Epoch: [13][6900/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7916 (2.5784)	Prec@1 35.000 (37.177)	Prec@5 63.000 (68.040)
Epoch: [13][6910/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6389 (2.5784)	Prec@1 33.000 (37.179)	Prec@5 67.000 (68.041)
Epoch: [13][6920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4430 (2.5784)	Prec@1 43.000 (37.181)	Prec@5 72.500 (68.040)
Epoch: [13][6930/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5667 (2.5784)	Prec@1 38.500 (37.183)	Prec@5 69.500 (68.042)
Epoch: [13][6940/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5096 (2.5783)	Prec@1 38.500 (37.184)	Prec@5 66.500 (68.044)
Epoch: [13][6950/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7005 (2.5783)	Prec@1 30.500 (37.182)	Prec@5 63.000 (68.043)
Epoch: [13][6960/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5733 (2.5784)	Prec@1 33.000 (37.183)	Prec@5 67.000 (68.042)
Epoch: [13][6970/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7847 (2.5784)	Prec@1 34.500 (37.181)	Prec@5 63.500 (68.041)
Epoch: [13][6980/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7042 (2.5785)	Prec@1 36.500 (37.179)	Prec@5 68.000 (68.039)
Epoch: [13][6990/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5542 (2.5785)	Prec@1 37.500 (37.180)	Prec@5 68.500 (68.041)
Epoch: [13][7000/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6582 (2.5785)	Prec@1 32.000 (37.180)	Prec@5 70.000 (68.041)
Epoch: [13][7010/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8401 (2.5785)	Prec@1 38.000 (37.180)	Prec@5 62.000 (68.039)
Epoch: [13][7020/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.6497 (2.5785)	Prec@1 37.500 (37.181)	Prec@5 64.000 (68.041)
Epoch: [13][7030/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5239 (2.5784)	Prec@1 40.000 (37.181)	Prec@5 70.500 (68.044)
Epoch: [13][7040/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5994 (2.5785)	Prec@1 34.500 (37.178)	Prec@5 68.000 (68.043)
Epoch: [13][7050/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6187 (2.5785)	Prec@1 35.000 (37.178)	Prec@5 65.500 (68.044)
Epoch: [13][7060/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5048 (2.5785)	Prec@1 35.500 (37.177)	Prec@5 69.500 (68.045)
Epoch: [13][7070/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.7077 (2.5784)	Prec@1 37.000 (37.178)	Prec@5 65.500 (68.047)
Epoch: [13][7080/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.4714 (2.5783)	Prec@1 36.500 (37.181)	Prec@5 71.000 (68.048)
Epoch: [13][7090/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7419 (2.5783)	Prec@1 37.000 (37.181)	Prec@5 67.000 (68.048)
Epoch: [13][7100/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4912 (2.5782)	Prec@1 40.500 (37.183)	Prec@5 68.000 (68.050)
Epoch: [13][7110/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5378 (2.5783)	Prec@1 36.000 (37.181)	Prec@5 67.500 (68.047)
Epoch: [13][7120/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6747 (2.5782)	Prec@1 37.000 (37.181)	Prec@5 64.000 (68.049)
Epoch: [13][7130/9018]	Time 0.704 (0.615)	Data 0.001 (0.001)	Loss 2.5871 (2.5782)	Prec@1 35.500 (37.182)	Prec@5 67.000 (68.048)
Epoch: [13][7140/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5280 (2.5782)	Prec@1 38.500 (37.182)	Prec@5 68.000 (68.049)
Epoch: [13][7150/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5949 (2.5781)	Prec@1 35.000 (37.182)	Prec@5 67.000 (68.051)
Epoch: [13][7160/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6811 (2.5781)	Prec@1 35.500 (37.182)	Prec@5 66.500 (68.051)
Epoch: [13][7170/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5268 (2.5782)	Prec@1 40.000 (37.180)	Prec@5 70.500 (68.048)
Epoch: [13][7180/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5135 (2.5783)	Prec@1 35.500 (37.180)	Prec@5 65.500 (68.048)
Epoch: [13][7190/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4456 (2.5783)	Prec@1 39.000 (37.178)	Prec@5 71.000 (68.048)
Epoch: [13][7200/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5738 (2.5783)	Prec@1 37.500 (37.179)	Prec@5 68.000 (68.047)
Epoch: [13][7210/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5558 (2.5784)	Prec@1 36.000 (37.177)	Prec@5 68.000 (68.047)
Epoch: [13][7220/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3873 (2.5783)	Prec@1 42.000 (37.180)	Prec@5 72.000 (68.050)
Epoch: [13][7230/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7255 (2.5784)	Prec@1 33.000 (37.178)	Prec@5 63.000 (68.046)
Epoch: [13][7240/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6985 (2.5784)	Prec@1 37.500 (37.178)	Prec@5 65.500 (68.045)
Epoch: [13][7250/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6318 (2.5784)	Prec@1 35.000 (37.180)	Prec@5 68.000 (68.046)
Epoch: [13][7260/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6197 (2.5783)	Prec@1 39.000 (37.182)	Prec@5 64.500 (68.047)
Epoch: [13][7270/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4936 (2.5783)	Prec@1 42.000 (37.182)	Prec@5 71.000 (68.049)
Epoch: [13][7280/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7460 (2.5783)	Prec@1 36.000 (37.180)	Prec@5 64.500 (68.047)
Epoch: [13][7290/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7392 (2.5783)	Prec@1 37.500 (37.183)	Prec@5 62.500 (68.046)
Epoch: [13][7300/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6700 (2.5784)	Prec@1 36.500 (37.182)	Prec@5 66.000 (68.044)
Epoch: [13][7310/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4736 (2.5784)	Prec@1 38.000 (37.183)	Prec@5 72.000 (68.045)
Epoch: [13][7320/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6392 (2.5784)	Prec@1 38.500 (37.183)	Prec@5 65.500 (68.045)
Epoch: [13][7330/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7452 (2.5784)	Prec@1 35.500 (37.182)	Prec@5 68.000 (68.044)
Epoch: [13][7340/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.7795 (2.5785)	Prec@1 33.000 (37.181)	Prec@5 64.500 (68.043)
Epoch: [13][7350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9009 (2.5786)	Prec@1 34.500 (37.180)	Prec@5 63.500 (68.042)
Epoch: [13][7360/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5636 (2.5786)	Prec@1 41.000 (37.181)	Prec@5 66.000 (68.042)
Epoch: [13][7370/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5620 (2.5786)	Prec@1 36.500 (37.180)	Prec@5 70.500 (68.041)
Epoch: [13][7380/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5538 (2.5786)	Prec@1 33.000 (37.179)	Prec@5 72.000 (68.040)
Epoch: [13][7390/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4202 (2.5786)	Prec@1 34.000 (37.177)	Prec@5 69.000 (68.041)
Epoch: [13][7400/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7331 (2.5786)	Prec@1 34.000 (37.178)	Prec@5 63.500 (68.042)
Epoch: [13][7410/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.7083 (2.5787)	Prec@1 33.000 (37.177)	Prec@5 64.500 (68.038)
Epoch: [13][7420/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6607 (2.5787)	Prec@1 36.500 (37.177)	Prec@5 68.000 (68.039)
Epoch: [13][7430/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8762 (2.5787)	Prec@1 35.500 (37.178)	Prec@5 65.000 (68.038)
Epoch: [13][7440/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3584 (2.5787)	Prec@1 40.500 (37.177)	Prec@5 70.500 (68.039)
Epoch: [13][7450/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8088 (2.5789)	Prec@1 31.500 (37.174)	Prec@5 63.500 (68.035)
Epoch: [13][7460/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.1692 (2.5789)	Prec@1 44.000 (37.177)	Prec@5 74.500 (68.036)
Epoch: [13][7470/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6565 (2.5790)	Prec@1 36.000 (37.177)	Prec@5 68.000 (68.034)
Epoch: [13][7480/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6554 (2.5790)	Prec@1 35.500 (37.177)	Prec@5 65.500 (68.034)
Epoch: [13][7490/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5638 (2.5790)	Prec@1 36.000 (37.177)	Prec@5 72.500 (68.035)
Epoch: [13][7500/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5083 (2.5790)	Prec@1 34.500 (37.177)	Prec@5 70.500 (68.036)
Epoch: [13][7510/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6634 (2.5790)	Prec@1 30.500 (37.177)	Prec@5 65.000 (68.034)
Epoch: [13][7520/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4677 (2.5790)	Prec@1 38.500 (37.177)	Prec@5 69.000 (68.035)
Epoch: [13][7530/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4805 (2.5790)	Prec@1 35.500 (37.177)	Prec@5 70.500 (68.033)
Epoch: [13][7540/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5149 (2.5790)	Prec@1 37.500 (37.176)	Prec@5 70.500 (68.034)
Epoch: [13][7550/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3332 (2.5789)	Prec@1 42.500 (37.177)	Prec@5 77.000 (68.036)
Epoch: [13][7560/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5544 (2.5789)	Prec@1 36.000 (37.177)	Prec@5 64.000 (68.035)
Epoch: [13][7570/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2949 (2.5789)	Prec@1 42.000 (37.176)	Prec@5 74.000 (68.036)
Epoch: [13][7580/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4399 (2.5789)	Prec@1 35.000 (37.174)	Prec@5 73.500 (68.035)
Epoch: [13][7590/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5495 (2.5789)	Prec@1 38.000 (37.176)	Prec@5 68.000 (68.036)
Epoch: [13][7600/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3240 (2.5788)	Prec@1 45.000 (37.176)	Prec@5 74.000 (68.037)
Epoch: [13][7610/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4650 (2.5788)	Prec@1 33.500 (37.174)	Prec@5 70.500 (68.038)
Epoch: [13][7620/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4942 (2.5788)	Prec@1 39.000 (37.175)	Prec@5 67.500 (68.037)
Epoch: [13][7630/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5723 (2.5789)	Prec@1 37.000 (37.172)	Prec@5 69.500 (68.036)
Epoch: [13][7640/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6110 (2.5789)	Prec@1 34.500 (37.172)	Prec@5 65.000 (68.035)
Epoch: [13][7650/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6205 (2.5789)	Prec@1 34.500 (37.173)	Prec@5 66.500 (68.033)
Epoch: [13][7660/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6954 (2.5789)	Prec@1 38.000 (37.172)	Prec@5 64.000 (68.031)
Epoch: [13][7670/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.6149 (2.5789)	Prec@1 40.000 (37.172)	Prec@5 64.500 (68.030)
Epoch: [13][7680/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3768 (2.5790)	Prec@1 41.500 (37.172)	Prec@5 71.000 (68.030)
Epoch: [13][7690/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7581 (2.5790)	Prec@1 33.000 (37.171)	Prec@5 61.500 (68.028)
Epoch: [13][7700/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7364 (2.5790)	Prec@1 41.000 (37.172)	Prec@5 67.000 (68.029)
Epoch: [13][7710/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3353 (2.5788)	Prec@1 40.500 (37.173)	Prec@5 72.000 (68.032)
Epoch: [13][7720/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5058 (2.5789)	Prec@1 38.000 (37.172)	Prec@5 69.000 (68.030)
Epoch: [13][7730/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6958 (2.5789)	Prec@1 35.500 (37.172)	Prec@5 61.500 (68.029)
Epoch: [13][7740/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.6817 (2.5789)	Prec@1 34.500 (37.171)	Prec@5 64.000 (68.028)
Epoch: [13][7750/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7026 (2.5790)	Prec@1 36.000 (37.171)	Prec@5 63.500 (68.029)
Epoch: [13][7760/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6966 (2.5789)	Prec@1 33.500 (37.172)	Prec@5 62.500 (68.030)
Epoch: [13][7770/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.3751 (2.5789)	Prec@1 39.000 (37.173)	Prec@5 71.000 (68.031)
Epoch: [13][7780/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4299 (2.5789)	Prec@1 39.500 (37.173)	Prec@5 73.000 (68.031)
Epoch: [13][7790/9018]	Time 0.706 (0.615)	Data 0.001 (0.001)	Loss 2.8825 (2.5789)	Prec@1 29.500 (37.171)	Prec@5 62.000 (68.031)
Epoch: [13][7800/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6801 (2.5789)	Prec@1 35.500 (37.170)	Prec@5 67.000 (68.030)
Epoch: [13][7810/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5772 (2.5789)	Prec@1 37.500 (37.170)	Prec@5 66.500 (68.030)
Epoch: [13][7820/9018]	Time 0.629 (0.615)	Data 0.003 (0.001)	Loss 2.6835 (2.5788)	Prec@1 34.500 (37.171)	Prec@5 66.000 (68.031)
Epoch: [13][7830/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3669 (2.5789)	Prec@1 40.000 (37.171)	Prec@5 74.000 (68.030)
Epoch: [13][7840/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7127 (2.5789)	Prec@1 36.000 (37.171)	Prec@5 67.000 (68.029)
Epoch: [13][7850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3215 (2.5789)	Prec@1 39.500 (37.171)	Prec@5 74.500 (68.032)
Epoch: [13][7860/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4434 (2.5789)	Prec@1 40.000 (37.172)	Prec@5 73.500 (68.032)
Epoch: [13][7870/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6750 (2.5790)	Prec@1 38.500 (37.170)	Prec@5 65.500 (68.031)
Epoch: [13][7880/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4193 (2.5790)	Prec@1 39.500 (37.169)	Prec@5 73.500 (68.030)
Epoch: [13][7890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4626 (2.5790)	Prec@1 40.000 (37.171)	Prec@5 67.500 (68.028)
Epoch: [13][7900/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6937 (2.5790)	Prec@1 35.000 (37.171)	Prec@5 62.000 (68.027)
Epoch: [13][7910/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2311 (2.5789)	Prec@1 44.500 (37.174)	Prec@5 75.000 (68.030)
Epoch: [13][7920/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8976 (2.5789)	Prec@1 33.000 (37.174)	Prec@5 63.500 (68.030)
Epoch: [13][7930/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2784 (2.5789)	Prec@1 39.500 (37.173)	Prec@5 73.500 (68.030)
Epoch: [13][7940/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6970 (2.5790)	Prec@1 37.000 (37.172)	Prec@5 65.500 (68.029)
Epoch: [13][7950/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5426 (2.5790)	Prec@1 38.500 (37.173)	Prec@5 73.000 (68.030)
Epoch: [13][7960/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6754 (2.5790)	Prec@1 33.000 (37.173)	Prec@5 66.000 (68.030)
Epoch: [13][7970/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4841 (2.5790)	Prec@1 36.000 (37.171)	Prec@5 68.000 (68.031)
Epoch: [13][7980/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5746 (2.5790)	Prec@1 34.000 (37.171)	Prec@5 64.000 (68.030)
Epoch: [13][7990/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4824 (2.5789)	Prec@1 40.000 (37.172)	Prec@5 68.000 (68.030)
Epoch: [13][8000/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5307 (2.5788)	Prec@1 37.500 (37.173)	Prec@5 69.500 (68.031)
Epoch: [13][8010/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4983 (2.5789)	Prec@1 37.500 (37.169)	Prec@5 67.500 (68.028)
Epoch: [13][8020/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5471 (2.5789)	Prec@1 40.000 (37.170)	Prec@5 69.500 (68.028)
Epoch: [13][8030/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5609 (2.5788)	Prec@1 37.500 (37.171)	Prec@5 67.000 (68.030)
Epoch: [13][8040/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7089 (2.5789)	Prec@1 36.000 (37.169)	Prec@5 64.500 (68.029)
Epoch: [13][8050/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5428 (2.5789)	Prec@1 39.000 (37.170)	Prec@5 69.500 (68.029)
Epoch: [13][8060/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5541 (2.5788)	Prec@1 38.000 (37.172)	Prec@5 68.000 (68.031)
Epoch: [13][8070/9018]	Time 0.710 (0.615)	Data 0.001 (0.001)	Loss 2.7069 (2.5789)	Prec@1 38.000 (37.171)	Prec@5 65.000 (68.031)
Epoch: [13][8080/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6470 (2.5788)	Prec@1 34.000 (37.173)	Prec@5 69.000 (68.032)
Epoch: [13][8090/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4937 (2.5788)	Prec@1 41.500 (37.173)	Prec@5 74.000 (68.033)
Epoch: [13][8100/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4836 (2.5788)	Prec@1 37.000 (37.172)	Prec@5 70.000 (68.033)
Epoch: [13][8110/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6178 (2.5789)	Prec@1 35.000 (37.171)	Prec@5 67.500 (68.031)
Epoch: [13][8120/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.4363 (2.5789)	Prec@1 39.000 (37.171)	Prec@5 71.500 (68.030)
Epoch: [13][8130/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4109 (2.5789)	Prec@1 39.500 (37.169)	Prec@5 72.500 (68.030)
Epoch: [13][8140/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5547 (2.5788)	Prec@1 38.000 (37.170)	Prec@5 65.000 (68.032)
Epoch: [13][8150/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7739 (2.5788)	Prec@1 33.000 (37.171)	Prec@5 67.500 (68.032)
Epoch: [13][8160/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7190 (2.5789)	Prec@1 33.500 (37.169)	Prec@5 62.000 (68.029)
Epoch: [13][8170/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8456 (2.5791)	Prec@1 32.000 (37.168)	Prec@5 61.000 (68.026)
Epoch: [13][8180/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6722 (2.5791)	Prec@1 37.000 (37.169)	Prec@5 64.000 (68.026)
Epoch: [13][8190/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7402 (2.5790)	Prec@1 36.000 (37.171)	Prec@5 66.000 (68.028)
Epoch: [13][8200/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6231 (2.5790)	Prec@1 35.000 (37.172)	Prec@5 67.000 (68.028)
Epoch: [13][8210/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.7489 (2.5790)	Prec@1 32.500 (37.173)	Prec@5 64.000 (68.028)
Epoch: [13][8220/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5011 (2.5789)	Prec@1 35.000 (37.175)	Prec@5 68.000 (68.028)
Epoch: [13][8230/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6945 (2.5790)	Prec@1 39.000 (37.174)	Prec@5 65.500 (68.026)
Epoch: [13][8240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4936 (2.5789)	Prec@1 37.000 (37.174)	Prec@5 71.500 (68.029)
Epoch: [13][8250/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4137 (2.5789)	Prec@1 43.500 (37.174)	Prec@5 72.500 (68.028)
Epoch: [13][8260/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4155 (2.5789)	Prec@1 37.500 (37.173)	Prec@5 71.500 (68.028)
Epoch: [13][8270/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8218 (2.5789)	Prec@1 33.000 (37.172)	Prec@5 62.000 (68.028)
Epoch: [13][8280/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7464 (2.5789)	Prec@1 35.500 (37.174)	Prec@5 65.000 (68.028)
Epoch: [13][8290/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9603 (2.5790)	Prec@1 32.000 (37.171)	Prec@5 58.500 (68.026)
Epoch: [13][8300/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5193 (2.5789)	Prec@1 40.000 (37.173)	Prec@5 68.000 (68.028)
Epoch: [13][8310/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.7382 (2.5789)	Prec@1 34.500 (37.172)	Prec@5 68.000 (68.030)
Epoch: [13][8320/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5316 (2.5790)	Prec@1 34.000 (37.171)	Prec@5 70.000 (68.029)
Epoch: [13][8330/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4953 (2.5790)	Prec@1 41.000 (37.171)	Prec@5 69.500 (68.029)
Epoch: [13][8340/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7078 (2.5790)	Prec@1 36.000 (37.171)	Prec@5 65.500 (68.030)
Epoch: [13][8350/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6937 (2.5790)	Prec@1 34.000 (37.169)	Prec@5 66.500 (68.029)
Epoch: [13][8360/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6181 (2.5791)	Prec@1 36.000 (37.169)	Prec@5 67.000 (68.028)
Epoch: [13][8370/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5105 (2.5790)	Prec@1 37.000 (37.171)	Prec@5 70.500 (68.030)
Epoch: [13][8380/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3687 (2.5790)	Prec@1 39.000 (37.170)	Prec@5 70.000 (68.028)
Epoch: [13][8390/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4375 (2.5790)	Prec@1 46.000 (37.173)	Prec@5 68.500 (68.029)
Epoch: [13][8400/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.5802 (2.5790)	Prec@1 39.500 (37.173)	Prec@5 65.500 (68.030)
Epoch: [13][8410/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.6278 (2.5790)	Prec@1 38.000 (37.173)	Prec@5 66.500 (68.029)
Epoch: [13][8420/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7607 (2.5791)	Prec@1 31.500 (37.171)	Prec@5 68.500 (68.027)
Epoch: [13][8430/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5903 (2.5790)	Prec@1 38.500 (37.172)	Prec@5 66.000 (68.027)
Epoch: [13][8440/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4322 (2.5791)	Prec@1 41.500 (37.171)	Prec@5 68.500 (68.026)
Epoch: [13][8450/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.6531 (2.5791)	Prec@1 36.500 (37.172)	Prec@5 67.000 (68.026)
Epoch: [13][8460/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3412 (2.5790)	Prec@1 41.000 (37.172)	Prec@5 72.500 (68.027)
Epoch: [13][8470/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4395 (2.5789)	Prec@1 38.000 (37.172)	Prec@5 71.500 (68.028)
Epoch: [13][8480/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.4864 (2.5789)	Prec@1 37.000 (37.171)	Prec@5 73.000 (68.028)
Epoch: [13][8490/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5824 (2.5789)	Prec@1 37.500 (37.172)	Prec@5 66.000 (68.029)
Epoch: [13][8500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4624 (2.5788)	Prec@1 42.000 (37.173)	Prec@5 69.500 (68.031)
Epoch: [13][8510/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6401 (2.5789)	Prec@1 36.000 (37.174)	Prec@5 64.000 (68.031)
Epoch: [13][8520/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4780 (2.5788)	Prec@1 34.500 (37.173)	Prec@5 70.000 (68.031)
Epoch: [13][8530/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7725 (2.5789)	Prec@1 31.000 (37.171)	Prec@5 64.500 (68.029)
Epoch: [13][8540/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4992 (2.5789)	Prec@1 44.500 (37.171)	Prec@5 70.500 (68.029)
Epoch: [13][8550/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4304 (2.5789)	Prec@1 39.000 (37.170)	Prec@5 73.500 (68.028)
Epoch: [13][8560/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6617 (2.5789)	Prec@1 37.500 (37.171)	Prec@5 65.000 (68.028)
Epoch: [13][8570/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5793 (2.5789)	Prec@1 40.500 (37.170)	Prec@5 67.000 (68.028)
Epoch: [13][8580/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6483 (2.5789)	Prec@1 32.000 (37.171)	Prec@5 68.500 (68.027)
Epoch: [13][8590/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6853 (2.5788)	Prec@1 30.000 (37.172)	Prec@5 64.000 (68.028)
Epoch: [13][8600/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.8065 (2.5788)	Prec@1 37.500 (37.172)	Prec@5 65.000 (68.027)
Epoch: [13][8610/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4439 (2.5788)	Prec@1 39.500 (37.173)	Prec@5 74.000 (68.028)
Epoch: [13][8620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5467 (2.5788)	Prec@1 38.000 (37.174)	Prec@5 69.000 (68.030)
Epoch: [13][8630/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.8900 (2.5787)	Prec@1 34.000 (37.176)	Prec@5 61.500 (68.031)
Epoch: [13][8640/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5998 (2.5788)	Prec@1 34.500 (37.172)	Prec@5 70.500 (68.029)
Epoch: [13][8650/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8927 (2.5789)	Prec@1 33.000 (37.171)	Prec@5 61.000 (68.028)
Epoch: [13][8660/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6621 (2.5789)	Prec@1 35.500 (37.171)	Prec@5 65.000 (68.027)
Epoch: [13][8670/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5378 (2.5789)	Prec@1 41.000 (37.171)	Prec@5 64.500 (68.027)
Epoch: [13][8680/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6327 (2.5788)	Prec@1 35.500 (37.172)	Prec@5 68.500 (68.027)
Epoch: [13][8690/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6390 (2.5788)	Prec@1 31.500 (37.171)	Prec@5 67.000 (68.027)
Epoch: [13][8700/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5743 (2.5788)	Prec@1 40.000 (37.173)	Prec@5 66.000 (68.028)
Epoch: [13][8710/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.7094 (2.5787)	Prec@1 29.500 (37.173)	Prec@5 70.000 (68.030)
Epoch: [13][8720/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5387 (2.5787)	Prec@1 40.000 (37.173)	Prec@5 68.000 (68.030)
Epoch: [13][8730/9018]	Time 0.708 (0.615)	Data 0.001 (0.001)	Loss 2.4839 (2.5787)	Prec@1 40.500 (37.174)	Prec@5 66.000 (68.029)
Epoch: [13][8740/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7097 (2.5788)	Prec@1 36.500 (37.171)	Prec@5 63.000 (68.028)
Epoch: [13][8750/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5070 (2.5788)	Prec@1 40.500 (37.172)	Prec@5 70.000 (68.028)
Epoch: [13][8760/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6323 (2.5788)	Prec@1 37.500 (37.171)	Prec@5 64.000 (68.027)
Epoch: [13][8770/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5431 (2.5788)	Prec@1 37.000 (37.170)	Prec@5 69.000 (68.028)
Epoch: [13][8780/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.4584 (2.5788)	Prec@1 37.000 (37.171)	Prec@5 71.500 (68.028)
Epoch: [13][8790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8870 (2.5788)	Prec@1 32.000 (37.172)	Prec@5 60.500 (68.028)
Epoch: [13][8800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3160 (2.5788)	Prec@1 40.000 (37.173)	Prec@5 72.000 (68.029)
Epoch: [13][8810/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4688 (2.5788)	Prec@1 38.500 (37.172)	Prec@5 71.000 (68.028)
Epoch: [13][8820/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5437 (2.5789)	Prec@1 37.500 (37.173)	Prec@5 69.000 (68.028)
Epoch: [13][8830/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4539 (2.5789)	Prec@1 43.500 (37.174)	Prec@5 69.500 (68.028)
Epoch: [13][8840/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5664 (2.5788)	Prec@1 39.500 (37.174)	Prec@5 69.500 (68.031)
Epoch: [13][8850/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6419 (2.5788)	Prec@1 36.000 (37.175)	Prec@5 69.500 (68.031)
Epoch: [13][8860/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3265 (2.5789)	Prec@1 38.500 (37.173)	Prec@5 75.500 (68.030)
Epoch: [13][8870/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3928 (2.5788)	Prec@1 41.500 (37.173)	Prec@5 72.500 (68.031)
Epoch: [13][8880/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3679 (2.5788)	Prec@1 41.500 (37.173)	Prec@5 70.500 (68.030)
Epoch: [13][8890/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8182 (2.5789)	Prec@1 34.500 (37.172)	Prec@5 63.500 (68.029)
Epoch: [13][8900/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4632 (2.5789)	Prec@1 37.500 (37.172)	Prec@5 69.000 (68.029)
Epoch: [13][8910/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6838 (2.5789)	Prec@1 37.500 (37.172)	Prec@5 70.500 (68.029)
Epoch: [13][8920/9018]	Time 0.599 (0.615)	Data 0.002 (0.001)	Loss 2.5066 (2.5788)	Prec@1 41.000 (37.173)	Prec@5 68.000 (68.031)
Epoch: [13][8930/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4246 (2.5788)	Prec@1 39.500 (37.172)	Prec@5 72.000 (68.032)
Epoch: [13][8940/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5182 (2.5788)	Prec@1 41.500 (37.173)	Prec@5 69.000 (68.032)
Epoch: [13][8950/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6186 (2.5788)	Prec@1 37.000 (37.175)	Prec@5 65.500 (68.032)
Epoch: [13][8960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6444 (2.5788)	Prec@1 35.500 (37.174)	Prec@5 67.000 (68.032)
Epoch: [13][8970/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4101 (2.5788)	Prec@1 37.000 (37.174)	Prec@5 70.500 (68.032)
Epoch: [13][8980/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6638 (2.5788)	Prec@1 37.500 (37.173)	Prec@5 66.500 (68.031)
Epoch: [13][8990/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9270 (2.5788)	Prec@1 32.500 (37.172)	Prec@5 61.000 (68.030)
Epoch: [13][9000/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3589 (2.5788)	Prec@1 38.000 (37.172)	Prec@5 72.500 (68.030)
Epoch: [13][9010/9018]	Time 0.590 (0.615)	Data 0.000 (0.001)	Loss 2.5729 (2.5788)	Prec@1 36.000 (37.171)	Prec@5 71.500 (68.029)
Test: [0/183]	Time 2.045 (2.045)	Loss 2.8344 (2.8344)	Prec@1 28.500 (28.500)	Prec@5 66.000 (66.000)
Test: [10/183]	Time 0.188 (0.367)	Loss 1.9524 (2.3350)	Prec@1 55.000 (41.273)	Prec@5 76.000 (72.273)
Test: [20/183]	Time 0.182 (0.284)	Loss 2.1611 (2.2431)	Prec@1 51.000 (44.048)	Prec@5 76.000 (74.452)
Test: [30/183]	Time 0.182 (0.255)	Loss 2.8123 (2.2962)	Prec@1 19.500 (42.065)	Prec@5 65.000 (73.839)
Test: [40/183]	Time 0.190 (0.239)	Loss 2.9583 (2.2642)	Prec@1 25.500 (43.402)	Prec@5 61.500 (73.805)
Test: [50/183]	Time 0.181 (0.232)	Loss 2.2491 (2.2423)	Prec@1 34.000 (43.618)	Prec@5 79.500 (74.275)
Test: [60/183]	Time 0.199 (0.226)	Loss 2.7561 (2.3002)	Prec@1 28.000 (41.631)	Prec@5 65.500 (73.525)
Test: [70/183]	Time 0.199 (0.221)	Loss 1.9593 (2.2880)	Prec@1 53.000 (41.718)	Prec@5 83.500 (74.077)
Test: [80/183]	Time 0.184 (0.218)	Loss 1.6659 (2.2545)	Prec@1 63.000 (42.549)	Prec@5 86.500 (74.685)
Test: [90/183]	Time 0.201 (0.215)	Loss 2.2438 (2.2559)	Prec@1 42.500 (42.352)	Prec@5 77.500 (74.709)
Test: [100/183]	Time 0.205 (0.214)	Loss 1.2474 (2.2649)	Prec@1 66.500 (42.010)	Prec@5 89.000 (74.569)
Test: [110/183]	Time 0.194 (0.212)	Loss 1.2156 (2.2757)	Prec@1 71.000 (41.874)	Prec@5 92.000 (74.225)
Test: [120/183]	Time 0.183 (0.210)	Loss 2.9245 (2.2733)	Prec@1 29.000 (41.798)	Prec@5 61.500 (74.351)
Test: [130/183]	Time 0.194 (0.209)	Loss 3.8579 (2.2844)	Prec@1 9.500 (41.538)	Prec@5 45.500 (74.309)
Test: [140/183]	Time 0.190 (0.208)	Loss 2.2187 (2.2881)	Prec@1 45.000 (41.454)	Prec@5 74.500 (74.358)
Test: [150/183]	Time 0.180 (0.207)	Loss 0.9968 (2.2806)	Prec@1 76.000 (41.719)	Prec@5 92.500 (74.407)
Test: [160/183]	Time 0.196 (0.207)	Loss 2.4726 (2.2703)	Prec@1 40.000 (42.068)	Prec@5 59.000 (74.478)
Test: [170/183]	Time 0.192 (0.206)	Loss 2.6231 (2.2888)	Prec@1 26.500 (41.696)	Prec@5 75.500 (74.067)
Test: [180/183]	Time 0.180 (0.205)	Loss 2.7749 (2.3030)	Prec@1 31.000 (41.456)	Prec@5 65.500 (73.804)
 * Prec@1 41.545 Prec@5 73.879
Epoch: [14][0/9018]	Time 2.828 (2.828)	Data 2.224 (2.224)	Loss 2.7330 (2.7330)	Prec@1 33.500 (33.500)	Prec@5 64.500 (64.500)
Epoch: [14][10/9018]	Time 0.597 (0.816)	Data 0.001 (0.203)	Loss 2.7051 (2.6038)	Prec@1 37.000 (36.000)	Prec@5 65.000 (67.273)
Epoch: [14][20/9018]	Time 0.602 (0.717)	Data 0.001 (0.107)	Loss 2.5517 (2.6057)	Prec@1 35.000 (36.357)	Prec@5 68.500 (67.119)
Epoch: [14][30/9018]	Time 0.593 (0.682)	Data 0.001 (0.073)	Loss 2.5959 (2.5899)	Prec@1 37.000 (36.500)	Prec@5 65.500 (67.516)
Epoch: [14][40/9018]	Time 0.625 (0.662)	Data 0.001 (0.055)	Loss 2.2884 (2.5758)	Prec@1 43.500 (36.780)	Prec@5 71.000 (67.951)
Epoch: [14][50/9018]	Time 0.612 (0.652)	Data 0.001 (0.044)	Loss 2.4483 (2.5667)	Prec@1 39.000 (37.186)	Prec@5 72.500 (68.137)
Epoch: [14][60/9018]	Time 0.603 (0.648)	Data 0.003 (0.037)	Loss 2.4196 (2.5643)	Prec@1 41.000 (37.320)	Prec@5 69.000 (68.246)
Epoch: [14][70/9018]	Time 0.622 (0.642)	Data 0.001 (0.032)	Loss 2.4169 (2.5752)	Prec@1 41.000 (37.141)	Prec@5 71.000 (68.007)
Epoch: [14][80/9018]	Time 0.596 (0.639)	Data 0.001 (0.028)	Loss 2.5369 (2.5702)	Prec@1 40.000 (37.179)	Prec@5 71.000 (68.142)
Epoch: [14][90/9018]	Time 0.599 (0.636)	Data 0.001 (0.025)	Loss 2.6388 (2.5687)	Prec@1 40.000 (37.341)	Prec@5 64.000 (68.137)
Epoch: [14][100/9018]	Time 0.608 (0.634)	Data 0.001 (0.023)	Loss 2.6643 (2.5660)	Prec@1 34.500 (37.317)	Prec@5 64.000 (68.183)
Epoch: [14][110/9018]	Time 0.600 (0.633)	Data 0.001 (0.021)	Loss 2.6154 (2.5651)	Prec@1 35.000 (37.437)	Prec@5 67.000 (68.135)
Epoch: [14][120/9018]	Time 0.619 (0.631)	Data 0.001 (0.019)	Loss 2.4327 (2.5712)	Prec@1 41.000 (37.331)	Prec@5 71.000 (67.946)
Epoch: [14][130/9018]	Time 0.602 (0.629)	Data 0.001 (0.018)	Loss 2.5781 (2.5691)	Prec@1 34.500 (37.324)	Prec@5 70.500 (68.061)
Epoch: [14][140/9018]	Time 0.735 (0.629)	Data 0.001 (0.017)	Loss 2.4223 (2.5679)	Prec@1 40.500 (37.277)	Prec@5 75.000 (68.206)
Epoch: [14][150/9018]	Time 0.626 (0.627)	Data 0.001 (0.015)	Loss 2.3099 (2.5638)	Prec@1 41.500 (37.424)	Prec@5 72.000 (68.305)
Epoch: [14][160/9018]	Time 0.592 (0.627)	Data 0.001 (0.015)	Loss 2.5385 (2.5644)	Prec@1 39.000 (37.488)	Prec@5 72.500 (68.311)
Epoch: [14][170/9018]	Time 0.627 (0.626)	Data 0.001 (0.014)	Loss 2.7080 (2.5635)	Prec@1 35.000 (37.406)	Prec@5 65.000 (68.386)
Epoch: [14][180/9018]	Time 0.604 (0.625)	Data 0.001 (0.013)	Loss 2.4976 (2.5610)	Prec@1 34.500 (37.434)	Prec@5 73.500 (68.390)
Epoch: [14][190/9018]	Time 0.769 (0.625)	Data 0.001 (0.012)	Loss 2.4896 (2.5619)	Prec@1 37.500 (37.421)	Prec@5 72.000 (68.366)
Epoch: [14][200/9018]	Time 0.612 (0.625)	Data 0.001 (0.012)	Loss 2.6772 (2.5624)	Prec@1 34.500 (37.388)	Prec@5 66.500 (68.348)
Epoch: [14][210/9018]	Time 0.600 (0.625)	Data 0.001 (0.011)	Loss 2.6338 (2.5647)	Prec@1 36.500 (37.284)	Prec@5 66.000 (68.332)
Epoch: [14][220/9018]	Time 0.604 (0.624)	Data 0.001 (0.011)	Loss 2.5902 (2.5652)	Prec@1 37.000 (37.287)	Prec@5 68.500 (68.278)
Epoch: [14][230/9018]	Time 0.594 (0.624)	Data 0.001 (0.010)	Loss 2.4003 (2.5621)	Prec@1 45.500 (37.325)	Prec@5 69.500 (68.383)
Epoch: [14][240/9018]	Time 0.596 (0.624)	Data 0.001 (0.010)	Loss 2.6625 (2.5619)	Prec@1 30.500 (37.301)	Prec@5 65.500 (68.398)
Epoch: [14][250/9018]	Time 0.630 (0.623)	Data 0.001 (0.010)	Loss 2.7607 (2.5631)	Prec@1 33.500 (37.335)	Prec@5 67.000 (68.378)
Epoch: [14][260/9018]	Time 0.605 (0.623)	Data 0.001 (0.009)	Loss 2.6152 (2.5646)	Prec@1 38.000 (37.301)	Prec@5 67.500 (68.374)
Epoch: [14][270/9018]	Time 0.635 (0.622)	Data 0.001 (0.009)	Loss 2.6624 (2.5637)	Prec@1 34.000 (37.292)	Prec@5 62.000 (68.360)
Epoch: [14][280/9018]	Time 0.599 (0.622)	Data 0.001 (0.009)	Loss 2.5289 (2.5621)	Prec@1 36.500 (37.311)	Prec@5 69.500 (68.374)
Epoch: [14][290/9018]	Time 0.599 (0.622)	Data 0.001 (0.008)	Loss 2.8817 (2.5631)	Prec@1 31.500 (37.309)	Prec@5 63.000 (68.328)
Epoch: [14][300/9018]	Time 0.601 (0.622)	Data 0.001 (0.008)	Loss 2.4931 (2.5615)	Prec@1 36.000 (37.296)	Prec@5 69.000 (68.387)
Epoch: [14][310/9018]	Time 0.590 (0.621)	Data 0.001 (0.008)	Loss 2.3959 (2.5605)	Prec@1 44.000 (37.368)	Prec@5 69.000 (68.429)
Epoch: [14][320/9018]	Time 0.612 (0.621)	Data 0.001 (0.008)	Loss 2.2663 (2.5589)	Prec@1 43.000 (37.397)	Prec@5 72.500 (68.456)
Epoch: [14][330/9018]	Time 0.597 (0.621)	Data 0.001 (0.007)	Loss 2.6812 (2.5596)	Prec@1 30.500 (37.379)	Prec@5 68.000 (68.437)
Epoch: [14][340/9018]	Time 0.600 (0.621)	Data 0.001 (0.007)	Loss 2.8177 (2.5599)	Prec@1 29.500 (37.364)	Prec@5 63.500 (68.446)
Epoch: [14][350/9018]	Time 0.606 (0.621)	Data 0.001 (0.007)	Loss 2.5764 (2.5582)	Prec@1 35.500 (37.385)	Prec@5 70.000 (68.523)
Epoch: [14][360/9018]	Time 0.602 (0.620)	Data 0.001 (0.007)	Loss 2.6397 (2.5573)	Prec@1 36.000 (37.411)	Prec@5 66.000 (68.524)
Epoch: [14][370/9018]	Time 0.618 (0.620)	Data 0.001 (0.007)	Loss 2.6947 (2.5589)	Prec@1 34.000 (37.416)	Prec@5 66.000 (68.474)
Epoch: [14][380/9018]	Time 0.604 (0.620)	Data 0.001 (0.007)	Loss 2.5928 (2.5596)	Prec@1 38.000 (37.450)	Prec@5 65.500 (68.442)
Epoch: [14][390/9018]	Time 0.592 (0.620)	Data 0.001 (0.006)	Loss 2.7098 (2.5607)	Prec@1 33.000 (37.446)	Prec@5 64.000 (68.435)
Epoch: [14][400/9018]	Time 0.624 (0.620)	Data 0.001 (0.006)	Loss 2.7174 (2.5606)	Prec@1 38.500 (37.465)	Prec@5 64.000 (68.429)
Epoch: [14][410/9018]	Time 0.600 (0.620)	Data 0.001 (0.006)	Loss 2.5008 (2.5616)	Prec@1 40.500 (37.468)	Prec@5 67.500 (68.380)
Epoch: [14][420/9018]	Time 0.609 (0.620)	Data 0.001 (0.006)	Loss 2.6797 (2.5626)	Prec@1 34.500 (37.495)	Prec@5 67.500 (68.354)
Epoch: [14][430/9018]	Time 0.594 (0.619)	Data 0.001 (0.006)	Loss 2.3536 (2.5633)	Prec@1 38.500 (37.501)	Prec@5 71.500 (68.339)
Epoch: [14][440/9018]	Time 0.601 (0.620)	Data 0.001 (0.006)	Loss 2.6202 (2.5636)	Prec@1 34.500 (37.500)	Prec@5 69.500 (68.323)
Epoch: [14][450/9018]	Time 0.598 (0.619)	Data 0.001 (0.006)	Loss 2.6153 (2.5621)	Prec@1 33.000 (37.535)	Prec@5 69.500 (68.373)
Epoch: [14][460/9018]	Time 0.595 (0.619)	Data 0.001 (0.006)	Loss 2.7591 (2.5626)	Prec@1 35.500 (37.517)	Prec@5 64.000 (68.370)
Epoch: [14][470/9018]	Time 0.711 (0.619)	Data 0.001 (0.005)	Loss 2.6195 (2.5623)	Prec@1 34.500 (37.521)	Prec@5 66.500 (68.376)
Epoch: [14][480/9018]	Time 0.623 (0.619)	Data 0.001 (0.005)	Loss 2.6704 (2.5631)	Prec@1 36.000 (37.523)	Prec@5 67.000 (68.379)
Epoch: [14][490/9018]	Time 0.600 (0.619)	Data 0.001 (0.005)	Loss 2.6254 (2.5651)	Prec@1 35.000 (37.487)	Prec@5 66.000 (68.336)
Epoch: [14][500/9018]	Time 0.616 (0.619)	Data 0.001 (0.005)	Loss 2.4803 (2.5644)	Prec@1 40.500 (37.494)	Prec@5 71.000 (68.356)
Epoch: [14][510/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 2.4542 (2.5641)	Prec@1 34.500 (37.466)	Prec@5 72.000 (68.375)
Epoch: [14][520/9018]	Time 0.745 (0.619)	Data 0.001 (0.005)	Loss 2.6958 (2.5650)	Prec@1 33.000 (37.437)	Prec@5 69.000 (68.359)
Epoch: [14][530/9018]	Time 0.593 (0.619)	Data 0.001 (0.005)	Loss 2.4162 (2.5650)	Prec@1 40.500 (37.427)	Prec@5 73.000 (68.367)
Epoch: [14][540/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.5722 (2.5642)	Prec@1 38.000 (37.470)	Prec@5 71.000 (68.384)
Epoch: [14][550/9018]	Time 0.596 (0.618)	Data 0.001 (0.005)	Loss 2.5438 (2.5644)	Prec@1 38.500 (37.456)	Prec@5 69.500 (68.372)
Epoch: [14][560/9018]	Time 0.599 (0.618)	Data 0.001 (0.005)	Loss 2.7214 (2.5641)	Prec@1 38.000 (37.469)	Prec@5 67.500 (68.390)
Epoch: [14][570/9018]	Time 0.601 (0.618)	Data 0.001 (0.005)	Loss 2.4797 (2.5635)	Prec@1 42.500 (37.463)	Prec@5 72.500 (68.405)
Epoch: [14][580/9018]	Time 0.612 (0.618)	Data 0.001 (0.005)	Loss 2.5126 (2.5636)	Prec@1 39.000 (37.472)	Prec@5 75.500 (68.421)
Epoch: [14][590/9018]	Time 0.602 (0.618)	Data 0.001 (0.005)	Loss 2.4156 (2.5638)	Prec@1 38.500 (37.461)	Prec@5 72.500 (68.415)
Epoch: [14][600/9018]	Time 0.608 (0.618)	Data 0.001 (0.004)	Loss 2.4491 (2.5640)	Prec@1 39.500 (37.456)	Prec@5 69.500 (68.408)
Epoch: [14][610/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 2.2865 (2.5620)	Prec@1 39.000 (37.484)	Prec@5 72.500 (68.454)
Epoch: [14][620/9018]	Time 0.631 (0.618)	Data 0.001 (0.004)	Loss 2.4723 (2.5608)	Prec@1 39.500 (37.505)	Prec@5 70.000 (68.486)
Epoch: [14][630/9018]	Time 0.612 (0.618)	Data 0.001 (0.004)	Loss 2.4009 (2.5610)	Prec@1 40.500 (37.504)	Prec@5 69.500 (68.483)
Epoch: [14][640/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 2.6745 (2.5620)	Prec@1 40.000 (37.494)	Prec@5 67.500 (68.471)
Epoch: [14][650/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 2.5222 (2.5615)	Prec@1 41.000 (37.507)	Prec@5 69.500 (68.485)
Epoch: [14][660/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 2.4792 (2.5616)	Prec@1 40.000 (37.492)	Prec@5 72.500 (68.494)
Epoch: [14][670/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.5760 (2.5618)	Prec@1 33.000 (37.512)	Prec@5 71.500 (68.494)
Epoch: [14][680/9018]	Time 0.629 (0.618)	Data 0.001 (0.004)	Loss 2.4805 (2.5614)	Prec@1 40.500 (37.531)	Prec@5 69.000 (68.494)
Epoch: [14][690/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.5611 (2.5609)	Prec@1 35.500 (37.538)	Prec@5 69.500 (68.511)
Epoch: [14][700/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.4008 (2.5611)	Prec@1 45.000 (37.540)	Prec@5 72.500 (68.509)
Epoch: [14][710/9018]	Time 0.605 (0.617)	Data 0.001 (0.004)	Loss 2.5716 (2.5609)	Prec@1 40.500 (37.553)	Prec@5 69.500 (68.510)
Epoch: [14][720/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 2.6186 (2.5625)	Prec@1 35.000 (37.524)	Prec@5 65.500 (68.469)
Epoch: [14][730/9018]	Time 0.630 (0.617)	Data 0.001 (0.004)	Loss 2.8302 (2.5632)	Prec@1 35.500 (37.490)	Prec@5 64.500 (68.460)
Epoch: [14][740/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.4512 (2.5629)	Prec@1 44.500 (37.501)	Prec@5 70.000 (68.472)
Epoch: [14][750/9018]	Time 0.627 (0.617)	Data 0.001 (0.004)	Loss 2.6973 (2.5631)	Prec@1 36.500 (37.501)	Prec@5 69.500 (68.473)
Epoch: [14][760/9018]	Time 0.631 (0.617)	Data 0.001 (0.004)	Loss 2.9151 (2.5633)	Prec@1 32.500 (37.495)	Prec@5 59.000 (68.480)
Epoch: [14][770/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.2741 (2.5635)	Prec@1 46.000 (37.495)	Prec@5 76.000 (68.477)
Epoch: [14][780/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.2819 (2.5627)	Prec@1 37.000 (37.500)	Prec@5 72.000 (68.492)
Epoch: [14][790/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.5132 (2.5627)	Prec@1 38.500 (37.500)	Prec@5 71.500 (68.498)
Epoch: [14][800/9018]	Time 0.746 (0.617)	Data 0.001 (0.004)	Loss 2.7821 (2.5628)	Prec@1 34.500 (37.508)	Prec@5 63.000 (68.489)
Epoch: [14][810/9018]	Time 0.639 (0.617)	Data 0.001 (0.004)	Loss 2.5307 (2.5623)	Prec@1 35.000 (37.514)	Prec@5 65.500 (68.495)
Epoch: [14][820/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.6519 (2.5619)	Prec@1 37.500 (37.509)	Prec@5 66.500 (68.501)
Epoch: [14][830/9018]	Time 0.643 (0.617)	Data 0.001 (0.003)	Loss 2.4733 (2.5623)	Prec@1 42.000 (37.513)	Prec@5 70.000 (68.504)
Epoch: [14][840/9018]	Time 0.590 (0.617)	Data 0.001 (0.003)	Loss 2.3581 (2.5623)	Prec@1 45.000 (37.512)	Prec@5 69.000 (68.499)
Epoch: [14][850/9018]	Time 0.732 (0.617)	Data 0.001 (0.003)	Loss 2.8197 (2.5629)	Prec@1 32.500 (37.505)	Prec@5 62.000 (68.499)
Epoch: [14][860/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.6331 (2.5632)	Prec@1 36.500 (37.512)	Prec@5 68.500 (68.494)
Epoch: [14][870/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.4641 (2.5639)	Prec@1 41.000 (37.505)	Prec@5 74.000 (68.483)
Epoch: [14][880/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.3613 (2.5647)	Prec@1 43.000 (37.489)	Prec@5 72.000 (68.462)
Epoch: [14][890/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.5007 (2.5637)	Prec@1 36.500 (37.508)	Prec@5 68.000 (68.469)
Epoch: [14][900/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.5514 (2.5633)	Prec@1 37.500 (37.518)	Prec@5 70.000 (68.481)
Epoch: [14][910/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.8669 (2.5631)	Prec@1 30.500 (37.515)	Prec@5 62.500 (68.490)
Epoch: [14][920/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 2.6920 (2.5635)	Prec@1 36.000 (37.502)	Prec@5 66.500 (68.484)
Epoch: [14][930/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 2.6449 (2.5638)	Prec@1 37.000 (37.490)	Prec@5 65.500 (68.472)
Epoch: [14][940/9018]	Time 0.620 (0.617)	Data 0.001 (0.003)	Loss 2.5805 (2.5634)	Prec@1 40.000 (37.498)	Prec@5 67.000 (68.484)
Epoch: [14][950/9018]	Time 0.626 (0.617)	Data 0.001 (0.003)	Loss 2.5729 (2.5645)	Prec@1 39.500 (37.484)	Prec@5 67.500 (68.456)
Epoch: [14][960/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.6183 (2.5652)	Prec@1 34.000 (37.463)	Prec@5 67.500 (68.438)
Epoch: [14][970/9018]	Time 0.626 (0.617)	Data 0.001 (0.003)	Loss 2.3608 (2.5653)	Prec@1 38.500 (37.462)	Prec@5 70.500 (68.434)
Epoch: [14][980/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.7690 (2.5667)	Prec@1 30.000 (37.435)	Prec@5 64.500 (68.406)
Epoch: [14][990/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.6191 (2.5666)	Prec@1 39.000 (37.438)	Prec@5 67.500 (68.401)
Epoch: [14][1000/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.5990 (2.5668)	Prec@1 38.500 (37.435)	Prec@5 67.500 (68.398)
Epoch: [14][1010/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 2.3286 (2.5665)	Prec@1 43.000 (37.429)	Prec@5 71.000 (68.404)
Epoch: [14][1020/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.6874 (2.5672)	Prec@1 35.000 (37.408)	Prec@5 66.000 (68.388)
Epoch: [14][1030/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.5074 (2.5671)	Prec@1 38.500 (37.403)	Prec@5 68.000 (68.381)
Epoch: [14][1040/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.5966 (2.5666)	Prec@1 35.000 (37.410)	Prec@5 67.000 (68.386)
Epoch: [14][1050/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 2.6464 (2.5669)	Prec@1 36.000 (37.397)	Prec@5 68.000 (68.392)
Epoch: [14][1060/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.5473 (2.5665)	Prec@1 37.500 (37.405)	Prec@5 67.500 (68.400)
Epoch: [14][1070/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.6025 (2.5667)	Prec@1 36.500 (37.402)	Prec@5 64.000 (68.397)
Epoch: [14][1080/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 2.5404 (2.5666)	Prec@1 39.500 (37.396)	Prec@5 73.000 (68.402)
Epoch: [14][1090/9018]	Time 0.634 (0.617)	Data 0.001 (0.003)	Loss 2.4756 (2.5665)	Prec@1 41.500 (37.408)	Prec@5 71.500 (68.411)
Epoch: [14][1100/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.6978 (2.5673)	Prec@1 38.500 (37.390)	Prec@5 66.500 (68.397)
Epoch: [14][1110/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.5321 (2.5672)	Prec@1 36.500 (37.401)	Prec@5 67.000 (68.401)
Epoch: [14][1120/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.3185 (2.5675)	Prec@1 40.000 (37.391)	Prec@5 69.000 (68.390)
Epoch: [14][1130/9018]	Time 0.745 (0.617)	Data 0.001 (0.003)	Loss 2.4950 (2.5674)	Prec@1 40.000 (37.401)	Prec@5 71.500 (68.398)
Epoch: [14][1140/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.7666 (2.5682)	Prec@1 30.500 (37.391)	Prec@5 65.500 (68.387)
Epoch: [14][1150/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.5579 (2.5678)	Prec@1 39.000 (37.387)	Prec@5 69.000 (68.401)
Epoch: [14][1160/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.3935 (2.5675)	Prec@1 45.500 (37.390)	Prec@5 71.500 (68.401)
Epoch: [14][1170/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.6850 (2.5684)	Prec@1 31.000 (37.362)	Prec@5 65.500 (68.389)
Epoch: [14][1180/9018]	Time 0.770 (0.617)	Data 0.001 (0.003)	Loss 2.4042 (2.5683)	Prec@1 38.000 (37.372)	Prec@5 71.000 (68.390)
Epoch: [14][1190/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.5457 (2.5686)	Prec@1 38.500 (37.358)	Prec@5 67.500 (68.380)
Epoch: [14][1200/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.5122 (2.5692)	Prec@1 38.000 (37.344)	Prec@5 69.000 (68.371)
Epoch: [14][1210/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 2.6461 (2.5695)	Prec@1 39.000 (37.343)	Prec@5 70.500 (68.379)
Epoch: [14][1220/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.5930 (2.5692)	Prec@1 31.500 (37.333)	Prec@5 69.000 (68.377)
Epoch: [14][1230/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.5325 (2.5692)	Prec@1 38.500 (37.328)	Prec@5 70.500 (68.381)
Epoch: [14][1240/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.3895 (2.5693)	Prec@1 46.000 (37.324)	Prec@5 72.000 (68.373)
Epoch: [14][1250/9018]	Time 0.633 (0.616)	Data 0.001 (0.003)	Loss 2.6896 (2.5692)	Prec@1 36.000 (37.331)	Prec@5 68.000 (68.378)
Epoch: [14][1260/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.6822 (2.5702)	Prec@1 36.000 (37.328)	Prec@5 63.000 (68.349)
Epoch: [14][1270/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.3442 (2.5702)	Prec@1 39.000 (37.320)	Prec@5 74.000 (68.346)
Epoch: [14][1280/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.3191 (2.5697)	Prec@1 43.500 (37.337)	Prec@5 72.000 (68.359)
Epoch: [14][1290/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.7906 (2.5701)	Prec@1 33.000 (37.324)	Prec@5 61.500 (68.362)
Epoch: [14][1300/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.5246 (2.5698)	Prec@1 38.500 (37.328)	Prec@5 70.500 (68.377)
Epoch: [14][1310/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.6671 (2.5706)	Prec@1 33.500 (37.320)	Prec@5 67.500 (68.359)
Epoch: [14][1320/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.6701 (2.5711)	Prec@1 34.500 (37.305)	Prec@5 68.000 (68.352)
Epoch: [14][1330/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.3566 (2.5712)	Prec@1 39.000 (37.299)	Prec@5 75.500 (68.354)
Epoch: [14][1340/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6443 (2.5710)	Prec@1 34.000 (37.307)	Prec@5 67.000 (68.356)
Epoch: [14][1350/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5897 (2.5701)	Prec@1 39.500 (37.337)	Prec@5 68.500 (68.356)
Epoch: [14][1360/9018]	Time 0.650 (0.616)	Data 0.001 (0.002)	Loss 2.5910 (2.5710)	Prec@1 38.500 (37.323)	Prec@5 72.000 (68.338)
Epoch: [14][1370/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4774 (2.5708)	Prec@1 39.500 (37.330)	Prec@5 68.000 (68.343)
Epoch: [14][1380/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.4399 (2.5703)	Prec@1 39.500 (37.344)	Prec@5 70.000 (68.355)
Epoch: [14][1390/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.5530 (2.5701)	Prec@1 37.000 (37.348)	Prec@5 68.000 (68.358)
Epoch: [14][1400/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.6783 (2.5702)	Prec@1 36.500 (37.350)	Prec@5 65.000 (68.350)
Epoch: [14][1410/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7734 (2.5708)	Prec@1 33.000 (37.332)	Prec@5 66.500 (68.343)
Epoch: [14][1420/9018]	Time 0.653 (0.616)	Data 0.001 (0.002)	Loss 2.3277 (2.5704)	Prec@1 39.000 (37.342)	Prec@5 74.500 (68.352)
Epoch: [14][1430/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5509 (2.5697)	Prec@1 41.500 (37.350)	Prec@5 68.000 (68.369)
Epoch: [14][1440/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.5265 (2.5702)	Prec@1 35.500 (37.342)	Prec@5 67.000 (68.361)
Epoch: [14][1450/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6834 (2.5708)	Prec@1 31.000 (37.338)	Prec@5 71.000 (68.352)
Epoch: [14][1460/9018]	Time 0.740 (0.616)	Data 0.001 (0.002)	Loss 2.5151 (2.5708)	Prec@1 39.000 (37.346)	Prec@5 68.500 (68.346)
Epoch: [14][1470/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.7514 (2.5709)	Prec@1 31.500 (37.348)	Prec@5 64.000 (68.345)
Epoch: [14][1480/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.5318 (2.5706)	Prec@1 34.000 (37.348)	Prec@5 68.000 (68.351)
Epoch: [14][1490/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6735 (2.5705)	Prec@1 31.500 (37.340)	Prec@5 63.500 (68.346)
Epoch: [14][1500/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.3697 (2.5699)	Prec@1 41.000 (37.353)	Prec@5 73.000 (68.355)
Epoch: [14][1510/9018]	Time 0.759 (0.616)	Data 0.001 (0.002)	Loss 2.5347 (2.5703)	Prec@1 44.500 (37.357)	Prec@5 70.500 (68.351)
Epoch: [14][1520/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.8312 (2.5710)	Prec@1 32.000 (37.345)	Prec@5 63.000 (68.335)
Epoch: [14][1530/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6179 (2.5710)	Prec@1 32.000 (37.335)	Prec@5 69.500 (68.329)
Epoch: [14][1540/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5655 (2.5713)	Prec@1 37.000 (37.331)	Prec@5 71.500 (68.325)
Epoch: [14][1550/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6195 (2.5716)	Prec@1 38.000 (37.330)	Prec@5 66.500 (68.319)
Epoch: [14][1560/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4913 (2.5712)	Prec@1 36.000 (37.333)	Prec@5 68.500 (68.328)
Epoch: [14][1570/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.6725 (2.5708)	Prec@1 37.000 (37.340)	Prec@5 71.000 (68.337)
Epoch: [14][1580/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4814 (2.5706)	Prec@1 40.500 (37.338)	Prec@5 67.500 (68.341)
Epoch: [14][1590/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.6388 (2.5707)	Prec@1 39.000 (37.343)	Prec@5 66.500 (68.333)
Epoch: [14][1600/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6230 (2.5703)	Prec@1 37.500 (37.349)	Prec@5 67.000 (68.332)
Epoch: [14][1610/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.5935 (2.5701)	Prec@1 39.500 (37.354)	Prec@5 65.500 (68.328)
Epoch: [14][1620/9018]	Time 0.641 (0.616)	Data 0.001 (0.002)	Loss 2.3438 (2.5705)	Prec@1 37.500 (37.345)	Prec@5 73.500 (68.325)
Epoch: [14][1630/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6048 (2.5709)	Prec@1 37.500 (37.338)	Prec@5 67.500 (68.312)
Epoch: [14][1640/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4323 (2.5709)	Prec@1 40.000 (37.336)	Prec@5 71.000 (68.312)
Epoch: [14][1650/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.6678 (2.5711)	Prec@1 36.000 (37.335)	Prec@5 64.000 (68.303)
Epoch: [14][1660/9018]	Time 0.589 (0.616)	Data 0.001 (0.002)	Loss 2.5026 (2.5711)	Prec@1 38.500 (37.338)	Prec@5 69.500 (68.304)
Epoch: [14][1670/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5813 (2.5706)	Prec@1 34.500 (37.341)	Prec@5 68.500 (68.312)
Epoch: [14][1680/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.5070 (2.5707)	Prec@1 39.000 (37.338)	Prec@5 70.000 (68.309)
Epoch: [14][1690/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.5499 (2.5707)	Prec@1 38.000 (37.330)	Prec@5 68.000 (68.305)
Epoch: [14][1700/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4403 (2.5706)	Prec@1 40.500 (37.329)	Prec@5 69.500 (68.302)
Epoch: [14][1710/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5598 (2.5705)	Prec@1 35.000 (37.332)	Prec@5 71.000 (68.304)
Epoch: [14][1720/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.6932 (2.5706)	Prec@1 35.500 (37.339)	Prec@5 63.500 (68.296)
Epoch: [14][1730/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.8201 (2.5709)	Prec@1 33.500 (37.334)	Prec@5 62.000 (68.289)
Epoch: [14][1740/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4112 (2.5706)	Prec@1 42.000 (37.349)	Prec@5 72.500 (68.297)
Epoch: [14][1750/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.5188 (2.5709)	Prec@1 43.500 (37.345)	Prec@5 68.000 (68.290)
Epoch: [14][1760/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.4470 (2.5708)	Prec@1 35.000 (37.347)	Prec@5 71.000 (68.288)
Epoch: [14][1770/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4298 (2.5706)	Prec@1 36.500 (37.351)	Prec@5 74.000 (68.292)
Epoch: [14][1780/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.4752 (2.5703)	Prec@1 40.000 (37.354)	Prec@5 69.500 (68.295)
Epoch: [14][1790/9018]	Time 0.726 (0.616)	Data 0.001 (0.002)	Loss 2.3088 (2.5701)	Prec@1 42.500 (37.361)	Prec@5 76.000 (68.305)
Epoch: [14][1800/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4651 (2.5703)	Prec@1 39.500 (37.356)	Prec@5 68.000 (68.298)
Epoch: [14][1810/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.6191 (2.5701)	Prec@1 33.500 (37.356)	Prec@5 72.000 (68.308)
Epoch: [14][1820/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.8556 (2.5702)	Prec@1 29.500 (37.347)	Prec@5 63.500 (68.306)
Epoch: [14][1830/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6719 (2.5709)	Prec@1 37.500 (37.333)	Prec@5 67.000 (68.286)
Epoch: [14][1840/9018]	Time 0.723 (0.616)	Data 0.001 (0.002)	Loss 2.5324 (2.5708)	Prec@1 39.500 (37.337)	Prec@5 70.000 (68.292)
Epoch: [14][1850/9018]	Time 0.649 (0.616)	Data 0.001 (0.002)	Loss 2.4986 (2.5708)	Prec@1 41.000 (37.337)	Prec@5 70.500 (68.294)
Epoch: [14][1860/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.3930 (2.5706)	Prec@1 37.500 (37.336)	Prec@5 74.500 (68.299)
Epoch: [14][1870/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.5745 (2.5708)	Prec@1 37.500 (37.334)	Prec@5 65.000 (68.295)
Epoch: [14][1880/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.9083 (2.5706)	Prec@1 31.000 (37.344)	Prec@5 64.000 (68.294)
Epoch: [14][1890/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6983 (2.5708)	Prec@1 35.500 (37.341)	Prec@5 65.000 (68.294)
Epoch: [14][1900/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.5202 (2.5705)	Prec@1 38.000 (37.339)	Prec@5 73.000 (68.299)
Epoch: [14][1910/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.4848 (2.5704)	Prec@1 37.500 (37.339)	Prec@5 65.000 (68.296)
Epoch: [14][1920/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.6043 (2.5704)	Prec@1 37.500 (37.345)	Prec@5 70.000 (68.297)
Epoch: [14][1930/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.7034 (2.5701)	Prec@1 35.000 (37.354)	Prec@5 64.000 (68.301)
Epoch: [14][1940/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.5606 (2.5700)	Prec@1 40.500 (37.359)	Prec@5 66.500 (68.300)
Epoch: [14][1950/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5067 (2.5700)	Prec@1 44.500 (37.364)	Prec@5 68.000 (68.298)
Epoch: [14][1960/9018]	Time 0.589 (0.616)	Data 0.001 (0.002)	Loss 2.7547 (2.5700)	Prec@1 33.500 (37.362)	Prec@5 62.000 (68.289)
Epoch: [14][1970/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.7456 (2.5701)	Prec@1 33.500 (37.360)	Prec@5 65.500 (68.281)
Epoch: [14][1980/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.3967 (2.5699)	Prec@1 34.500 (37.361)	Prec@5 67.000 (68.282)
Epoch: [14][1990/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8010 (2.5703)	Prec@1 33.500 (37.356)	Prec@5 63.500 (68.271)
Epoch: [14][2000/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.3965 (2.5703)	Prec@1 44.500 (37.352)	Prec@5 69.000 (68.272)
Epoch: [14][2010/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5793 (2.5702)	Prec@1 36.000 (37.354)	Prec@5 67.500 (68.271)
Epoch: [14][2020/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.7266 (2.5704)	Prec@1 34.500 (37.344)	Prec@5 66.000 (68.265)
Epoch: [14][2030/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5797 (2.5703)	Prec@1 36.500 (37.343)	Prec@5 69.000 (68.263)
Epoch: [14][2040/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.3187 (2.5700)	Prec@1 41.000 (37.348)	Prec@5 72.500 (68.271)
Epoch: [14][2050/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.6234 (2.5700)	Prec@1 34.500 (37.349)	Prec@5 67.500 (68.272)
Epoch: [14][2060/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4430 (2.5700)	Prec@1 34.500 (37.349)	Prec@5 70.500 (68.266)
Epoch: [14][2070/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5355 (2.5699)	Prec@1 33.500 (37.352)	Prec@5 72.000 (68.265)
Epoch: [14][2080/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5593 (2.5701)	Prec@1 41.500 (37.347)	Prec@5 71.500 (68.259)
Epoch: [14][2090/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4992 (2.5700)	Prec@1 43.000 (37.353)	Prec@5 68.500 (68.264)
Epoch: [14][2100/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5043 (2.5702)	Prec@1 40.000 (37.348)	Prec@5 71.500 (68.260)
Epoch: [14][2110/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.6441 (2.5700)	Prec@1 38.000 (37.353)	Prec@5 62.500 (68.265)
Epoch: [14][2120/9018]	Time 0.723 (0.616)	Data 0.001 (0.002)	Loss 2.5731 (2.5700)	Prec@1 40.000 (37.354)	Prec@5 66.500 (68.263)
Epoch: [14][2130/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4757 (2.5701)	Prec@1 37.000 (37.352)	Prec@5 70.500 (68.264)
Epoch: [14][2140/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.8176 (2.5698)	Prec@1 29.500 (37.355)	Prec@5 60.500 (68.270)
Epoch: [14][2150/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.6357 (2.5700)	Prec@1 35.500 (37.351)	Prec@5 65.000 (68.267)
Epoch: [14][2160/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.4954 (2.5700)	Prec@1 39.000 (37.353)	Prec@5 67.500 (68.268)
Epoch: [14][2170/9018]	Time 0.726 (0.616)	Data 0.001 (0.002)	Loss 2.6819 (2.5701)	Prec@1 35.500 (37.354)	Prec@5 66.000 (68.268)
Epoch: [14][2180/9018]	Time 0.647 (0.616)	Data 0.001 (0.002)	Loss 2.3724 (2.5699)	Prec@1 39.500 (37.355)	Prec@5 74.000 (68.270)
Epoch: [14][2190/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.3294 (2.5701)	Prec@1 42.500 (37.354)	Prec@5 72.000 (68.265)
Epoch: [14][2200/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.5430 (2.5704)	Prec@1 37.000 (37.349)	Prec@5 66.500 (68.258)
Epoch: [14][2210/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6988 (2.5704)	Prec@1 38.000 (37.353)	Prec@5 66.000 (68.254)
Epoch: [14][2220/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5471 (2.5707)	Prec@1 34.000 (37.349)	Prec@5 66.000 (68.245)
Epoch: [14][2230/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.4740 (2.5707)	Prec@1 41.000 (37.348)	Prec@5 69.500 (68.241)
Epoch: [14][2240/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5261 (2.5707)	Prec@1 38.000 (37.346)	Prec@5 72.000 (68.241)
Epoch: [14][2250/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.4361 (2.5705)	Prec@1 41.000 (37.347)	Prec@5 70.500 (68.241)
Epoch: [14][2260/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.7550 (2.5706)	Prec@1 37.000 (37.347)	Prec@5 66.000 (68.243)
Epoch: [14][2270/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.3229 (2.5704)	Prec@1 43.000 (37.349)	Prec@5 73.000 (68.245)
Epoch: [14][2280/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4378 (2.5702)	Prec@1 40.000 (37.359)	Prec@5 69.500 (68.244)
Epoch: [14][2290/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.3544 (2.5703)	Prec@1 44.500 (37.360)	Prec@5 73.000 (68.243)
Epoch: [14][2300/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.5475 (2.5701)	Prec@1 37.000 (37.367)	Prec@5 69.000 (68.247)
Epoch: [14][2310/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.7203 (2.5701)	Prec@1 34.000 (37.368)	Prec@5 68.000 (68.247)
Epoch: [14][2320/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.3407 (2.5700)	Prec@1 38.500 (37.363)	Prec@5 72.000 (68.250)
Epoch: [14][2330/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.5146 (2.5696)	Prec@1 36.500 (37.360)	Prec@5 71.000 (68.262)
Epoch: [14][2340/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.7104 (2.5692)	Prec@1 31.000 (37.367)	Prec@5 66.500 (68.271)
Epoch: [14][2350/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.6419 (2.5690)	Prec@1 34.000 (37.370)	Prec@5 68.500 (68.275)
Epoch: [14][2360/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5335 (2.5691)	Prec@1 37.500 (37.367)	Prec@5 67.500 (68.273)
Epoch: [14][2370/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5629 (2.5689)	Prec@1 34.500 (37.367)	Prec@5 68.500 (68.271)
Epoch: [14][2380/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.8753 (2.5693)	Prec@1 31.500 (37.363)	Prec@5 62.500 (68.263)
Epoch: [14][2390/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.4585 (2.5692)	Prec@1 35.500 (37.361)	Prec@5 72.500 (68.264)
Epoch: [14][2400/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4720 (2.5691)	Prec@1 36.000 (37.358)	Prec@5 70.500 (68.269)
Epoch: [14][2410/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.3749 (2.5689)	Prec@1 39.500 (37.360)	Prec@5 77.000 (68.276)
Epoch: [14][2420/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.5256 (2.5688)	Prec@1 37.000 (37.359)	Prec@5 70.000 (68.278)
Epoch: [14][2430/9018]	Time 0.636 (0.615)	Data 0.001 (0.002)	Loss 2.4554 (2.5687)	Prec@1 39.500 (37.360)	Prec@5 72.000 (68.278)
Epoch: [14][2440/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.4937 (2.5686)	Prec@1 45.000 (37.369)	Prec@5 70.000 (68.278)
Epoch: [14][2450/9018]	Time 0.734 (0.615)	Data 0.001 (0.002)	Loss 2.4495 (2.5686)	Prec@1 42.000 (37.373)	Prec@5 67.000 (68.278)
Epoch: [14][2460/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.5579 (2.5685)	Prec@1 39.500 (37.375)	Prec@5 69.500 (68.282)
Epoch: [14][2470/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.4138 (2.5682)	Prec@1 44.500 (37.385)	Prec@5 71.000 (68.288)
Epoch: [14][2480/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.8515 (2.5686)	Prec@1 32.500 (37.376)	Prec@5 60.500 (68.276)
Epoch: [14][2490/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.7522 (2.5686)	Prec@1 30.500 (37.365)	Prec@5 65.500 (68.278)
Epoch: [14][2500/9018]	Time 0.748 (0.615)	Data 0.001 (0.002)	Loss 2.5379 (2.5687)	Prec@1 39.000 (37.360)	Prec@5 70.000 (68.272)
Epoch: [14][2510/9018]	Time 0.640 (0.615)	Data 0.001 (0.002)	Loss 2.6269 (2.5688)	Prec@1 39.000 (37.365)	Prec@5 66.500 (68.275)
Epoch: [14][2520/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.4313 (2.5687)	Prec@1 41.500 (37.373)	Prec@5 71.500 (68.280)
Epoch: [14][2530/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.6144 (2.5686)	Prec@1 36.000 (37.373)	Prec@5 68.000 (68.279)
Epoch: [14][2540/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5640 (2.5687)	Prec@1 34.500 (37.369)	Prec@5 70.000 (68.280)
Epoch: [14][2550/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.6383 (2.5685)	Prec@1 38.000 (37.375)	Prec@5 67.000 (68.285)
Epoch: [14][2560/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.5525 (2.5687)	Prec@1 39.000 (37.374)	Prec@5 65.500 (68.280)
Epoch: [14][2570/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.9810 (2.5689)	Prec@1 28.000 (37.366)	Prec@5 58.500 (68.277)
Epoch: [14][2580/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.3307 (2.5685)	Prec@1 42.500 (37.371)	Prec@5 72.500 (68.281)
Epoch: [14][2590/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6513 (2.5684)	Prec@1 33.000 (37.365)	Prec@5 67.000 (68.287)
Epoch: [14][2600/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.3976 (2.5687)	Prec@1 42.000 (37.360)	Prec@5 69.500 (68.285)
Epoch: [14][2610/9018]	Time 0.636 (0.615)	Data 0.001 (0.002)	Loss 2.6008 (2.5686)	Prec@1 33.000 (37.357)	Prec@5 69.000 (68.286)
Epoch: [14][2620/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.7050 (2.5688)	Prec@1 34.000 (37.350)	Prec@5 66.000 (68.283)
Epoch: [14][2630/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.5870 (2.5686)	Prec@1 40.000 (37.356)	Prec@5 67.500 (68.285)
Epoch: [14][2640/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6584 (2.5687)	Prec@1 35.500 (37.353)	Prec@5 66.500 (68.282)
Epoch: [14][2650/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.7326 (2.5688)	Prec@1 35.000 (37.351)	Prec@5 62.500 (68.279)
Epoch: [14][2660/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.6688 (2.5690)	Prec@1 35.000 (37.353)	Prec@5 65.500 (68.275)
Epoch: [14][2670/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.4792 (2.5691)	Prec@1 38.000 (37.349)	Prec@5 72.500 (68.273)
Epoch: [14][2680/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6391 (2.5693)	Prec@1 35.000 (37.340)	Prec@5 64.500 (68.267)
Epoch: [14][2690/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.4813 (2.5694)	Prec@1 35.000 (37.341)	Prec@5 73.000 (68.266)
Epoch: [14][2700/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.8206 (2.5695)	Prec@1 36.500 (37.341)	Prec@5 64.500 (68.265)
Epoch: [14][2710/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.4480 (2.5695)	Prec@1 39.500 (37.341)	Prec@5 68.500 (68.269)
Epoch: [14][2720/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7003 (2.5698)	Prec@1 36.000 (37.338)	Prec@5 65.500 (68.264)
Epoch: [14][2730/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.6371 (2.5699)	Prec@1 34.500 (37.337)	Prec@5 67.500 (68.264)
Epoch: [14][2740/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.4550 (2.5701)	Prec@1 40.500 (37.333)	Prec@5 68.500 (68.259)
Epoch: [14][2750/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.4962 (2.5699)	Prec@1 38.000 (37.335)	Prec@5 65.500 (68.258)
Epoch: [14][2760/9018]	Time 0.646 (0.615)	Data 0.001 (0.002)	Loss 2.6118 (2.5697)	Prec@1 37.500 (37.339)	Prec@5 68.000 (68.262)
Epoch: [14][2770/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.3712 (2.5695)	Prec@1 36.000 (37.340)	Prec@5 68.000 (68.262)
Epoch: [14][2780/9018]	Time 0.732 (0.615)	Data 0.001 (0.002)	Loss 2.4007 (2.5695)	Prec@1 38.500 (37.336)	Prec@5 70.500 (68.263)
Epoch: [14][2790/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.5830 (2.5697)	Prec@1 35.500 (37.335)	Prec@5 66.500 (68.258)
Epoch: [14][2800/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4170 (2.5698)	Prec@1 36.500 (37.331)	Prec@5 73.000 (68.256)
Epoch: [14][2810/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.5743 (2.5698)	Prec@1 33.000 (37.331)	Prec@5 72.000 (68.256)
Epoch: [14][2820/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5115 (2.5697)	Prec@1 38.500 (37.332)	Prec@5 69.500 (68.262)
Epoch: [14][2830/9018]	Time 0.742 (0.615)	Data 0.001 (0.002)	Loss 2.4388 (2.5700)	Prec@1 43.500 (37.332)	Prec@5 68.000 (68.254)
Epoch: [14][2840/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.7285 (2.5702)	Prec@1 38.500 (37.330)	Prec@5 66.000 (68.251)
Epoch: [14][2850/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4827 (2.5703)	Prec@1 41.000 (37.325)	Prec@5 73.000 (68.250)
Epoch: [14][2860/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.5373 (2.5701)	Prec@1 38.500 (37.328)	Prec@5 68.500 (68.258)
Epoch: [14][2870/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4150 (2.5701)	Prec@1 44.000 (37.332)	Prec@5 74.000 (68.259)
Epoch: [14][2880/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.5667 (2.5700)	Prec@1 40.500 (37.332)	Prec@5 66.000 (68.258)
Epoch: [14][2890/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.3884 (2.5698)	Prec@1 43.000 (37.336)	Prec@5 71.500 (68.263)
Epoch: [14][2900/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.3367 (2.5697)	Prec@1 42.500 (37.338)	Prec@5 72.000 (68.263)
Epoch: [14][2910/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4591 (2.5696)	Prec@1 41.500 (37.347)	Prec@5 73.500 (68.264)
Epoch: [14][2920/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5503 (2.5698)	Prec@1 37.500 (37.342)	Prec@5 68.000 (68.264)
Epoch: [14][2930/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5359 (2.5697)	Prec@1 41.500 (37.346)	Prec@5 64.500 (68.262)
Epoch: [14][2940/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6843 (2.5698)	Prec@1 37.500 (37.347)	Prec@5 66.500 (68.260)
Epoch: [14][2950/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.7809 (2.5697)	Prec@1 29.000 (37.344)	Prec@5 65.500 (68.260)
Epoch: [14][2960/9018]	Time 0.636 (0.615)	Data 0.001 (0.002)	Loss 2.5881 (2.5700)	Prec@1 37.500 (37.341)	Prec@5 63.500 (68.255)
Epoch: [14][2970/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.8677 (2.5701)	Prec@1 37.000 (37.340)	Prec@5 63.500 (68.251)
Epoch: [14][2980/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5140 (2.5701)	Prec@1 37.500 (37.338)	Prec@5 70.000 (68.251)
Epoch: [14][2990/9018]	Time 0.649 (0.615)	Data 0.001 (0.002)	Loss 2.6086 (2.5702)	Prec@1 36.500 (37.335)	Prec@5 68.000 (68.252)
Epoch: [14][3000/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6972 (2.5701)	Prec@1 34.500 (37.333)	Prec@5 68.000 (68.255)
Epoch: [14][3010/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.3136 (2.5697)	Prec@1 43.000 (37.342)	Prec@5 69.000 (68.259)
Epoch: [14][3020/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4234 (2.5697)	Prec@1 37.500 (37.339)	Prec@5 72.500 (68.262)
Epoch: [14][3030/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5113 (2.5697)	Prec@1 41.000 (37.334)	Prec@5 70.500 (68.263)
Epoch: [14][3040/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.6318 (2.5698)	Prec@1 36.500 (37.336)	Prec@5 66.500 (68.260)
Epoch: [14][3050/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6908 (2.5699)	Prec@1 33.500 (37.336)	Prec@5 69.000 (68.258)
Epoch: [14][3060/9018]	Time 0.647 (0.615)	Data 0.001 (0.001)	Loss 2.7691 (2.5700)	Prec@1 30.500 (37.335)	Prec@5 64.000 (68.257)
Epoch: [14][3070/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6428 (2.5698)	Prec@1 33.500 (37.336)	Prec@5 66.000 (68.257)
Epoch: [14][3080/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5862 (2.5697)	Prec@1 37.000 (37.335)	Prec@5 66.500 (68.258)
Epoch: [14][3090/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4981 (2.5696)	Prec@1 37.000 (37.334)	Prec@5 67.000 (68.256)
Epoch: [14][3100/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6524 (2.5697)	Prec@1 36.000 (37.332)	Prec@5 67.500 (68.254)
Epoch: [14][3110/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 2.6778 (2.5698)	Prec@1 34.000 (37.330)	Prec@5 66.500 (68.253)
Epoch: [14][3120/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5147 (2.5699)	Prec@1 38.500 (37.326)	Prec@5 68.000 (68.245)
Epoch: [14][3130/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7322 (2.5700)	Prec@1 38.000 (37.325)	Prec@5 68.000 (68.244)
Epoch: [14][3140/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2715 (2.5699)	Prec@1 42.000 (37.326)	Prec@5 72.000 (68.243)
Epoch: [14][3150/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6003 (2.5700)	Prec@1 36.500 (37.329)	Prec@5 67.500 (68.244)
Epoch: [14][3160/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.5455 (2.5700)	Prec@1 35.500 (37.330)	Prec@5 63.500 (68.244)
Epoch: [14][3170/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5611 (2.5702)	Prec@1 36.500 (37.325)	Prec@5 70.000 (68.239)
Epoch: [14][3180/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7733 (2.5701)	Prec@1 41.000 (37.325)	Prec@5 66.000 (68.242)
Epoch: [14][3190/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7162 (2.5701)	Prec@1 35.500 (37.324)	Prec@5 65.000 (68.240)
Epoch: [14][3200/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4126 (2.5701)	Prec@1 38.500 (37.321)	Prec@5 69.000 (68.236)
Epoch: [14][3210/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5610 (2.5702)	Prec@1 36.500 (37.319)	Prec@5 68.500 (68.235)
Epoch: [14][3220/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6536 (2.5702)	Prec@1 35.500 (37.316)	Prec@5 65.500 (68.234)
Epoch: [14][3230/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7122 (2.5703)	Prec@1 35.000 (37.318)	Prec@5 67.000 (68.234)
Epoch: [14][3240/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6703 (2.5703)	Prec@1 31.500 (37.312)	Prec@5 66.500 (68.231)
Epoch: [14][3250/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6174 (2.5703)	Prec@1 38.500 (37.313)	Prec@5 68.000 (68.234)
Epoch: [14][3260/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6145 (2.5703)	Prec@1 38.000 (37.310)	Prec@5 70.000 (68.234)
Epoch: [14][3270/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4674 (2.5704)	Prec@1 39.000 (37.309)	Prec@5 71.500 (68.233)
Epoch: [14][3280/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6529 (2.5703)	Prec@1 34.500 (37.313)	Prec@5 68.500 (68.235)
Epoch: [14][3290/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.8760 (2.5705)	Prec@1 29.500 (37.309)	Prec@5 64.500 (68.233)
Epoch: [14][3300/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5690 (2.5703)	Prec@1 39.000 (37.314)	Prec@5 68.500 (68.237)
Epoch: [14][3310/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1159 (2.5702)	Prec@1 48.500 (37.314)	Prec@5 76.500 (68.241)
Epoch: [14][3320/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4756 (2.5701)	Prec@1 35.500 (37.316)	Prec@5 70.000 (68.243)
Epoch: [14][3330/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.4378 (2.5699)	Prec@1 40.000 (37.318)	Prec@5 70.000 (68.245)
Epoch: [14][3340/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4781 (2.5699)	Prec@1 38.500 (37.318)	Prec@5 69.500 (68.247)
Epoch: [14][3350/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7416 (2.5698)	Prec@1 34.500 (37.320)	Prec@5 64.500 (68.247)
Epoch: [14][3360/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7965 (2.5698)	Prec@1 33.000 (37.319)	Prec@5 63.000 (68.247)
Epoch: [14][3370/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6019 (2.5697)	Prec@1 36.500 (37.319)	Prec@5 68.000 (68.247)
Epoch: [14][3380/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7871 (2.5698)	Prec@1 33.500 (37.319)	Prec@5 67.000 (68.246)
Epoch: [14][3390/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6780 (2.5697)	Prec@1 36.000 (37.319)	Prec@5 68.000 (68.244)
Epoch: [14][3400/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5820 (2.5695)	Prec@1 35.000 (37.319)	Prec@5 67.000 (68.249)
Epoch: [14][3410/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5525 (2.5695)	Prec@1 38.000 (37.321)	Prec@5 66.000 (68.252)
Epoch: [14][3420/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5963 (2.5694)	Prec@1 33.500 (37.326)	Prec@5 70.000 (68.254)
Epoch: [14][3430/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5379 (2.5694)	Prec@1 36.500 (37.325)	Prec@5 67.000 (68.254)
Epoch: [14][3440/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.5444 (2.5694)	Prec@1 39.500 (37.322)	Prec@5 69.500 (68.253)
Epoch: [14][3450/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4929 (2.5692)	Prec@1 40.000 (37.325)	Prec@5 70.000 (68.257)
Epoch: [14][3460/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7932 (2.5694)	Prec@1 31.000 (37.321)	Prec@5 63.000 (68.254)
Epoch: [14][3470/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5391 (2.5693)	Prec@1 37.500 (37.322)	Prec@5 67.000 (68.256)
Epoch: [14][3480/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6404 (2.5691)	Prec@1 33.000 (37.323)	Prec@5 66.500 (68.259)
Epoch: [14][3490/9018]	Time 0.772 (0.615)	Data 0.001 (0.001)	Loss 2.6813 (2.5690)	Prec@1 39.000 (37.326)	Prec@5 66.000 (68.260)
Epoch: [14][3500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5733 (2.5691)	Prec@1 41.500 (37.320)	Prec@5 66.000 (68.257)
Epoch: [14][3510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5979 (2.5691)	Prec@1 38.000 (37.317)	Prec@5 63.000 (68.256)
Epoch: [14][3520/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.8602 (2.5692)	Prec@1 31.000 (37.316)	Prec@5 57.500 (68.251)
Epoch: [14][3530/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8130 (2.5696)	Prec@1 33.000 (37.308)	Prec@5 67.000 (68.242)
Epoch: [14][3540/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5412 (2.5696)	Prec@1 38.000 (37.311)	Prec@5 69.500 (68.244)
Epoch: [14][3550/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5771 (2.5696)	Prec@1 36.000 (37.310)	Prec@5 62.000 (68.243)
Epoch: [14][3560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4468 (2.5696)	Prec@1 41.500 (37.309)	Prec@5 69.000 (68.243)
Epoch: [14][3570/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.4002 (2.5695)	Prec@1 40.500 (37.311)	Prec@5 68.000 (68.246)
Epoch: [14][3580/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3871 (2.5694)	Prec@1 43.500 (37.315)	Prec@5 72.000 (68.248)
Epoch: [14][3590/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5136 (2.5694)	Prec@1 35.000 (37.312)	Prec@5 70.500 (68.249)
Epoch: [14][3600/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7022 (2.5695)	Prec@1 34.000 (37.314)	Prec@5 64.500 (68.247)
Epoch: [14][3610/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5168 (2.5694)	Prec@1 38.500 (37.319)	Prec@5 66.000 (68.247)
Epoch: [14][3620/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4964 (2.5694)	Prec@1 38.000 (37.321)	Prec@5 68.500 (68.248)
Epoch: [14][3630/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3804 (2.5698)	Prec@1 40.500 (37.317)	Prec@5 74.000 (68.242)
Epoch: [14][3640/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6092 (2.5697)	Prec@1 36.500 (37.316)	Prec@5 71.500 (68.242)
Epoch: [14][3650/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.8525 (2.5697)	Prec@1 33.500 (37.316)	Prec@5 61.000 (68.243)
Epoch: [14][3660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6636 (2.5695)	Prec@1 36.500 (37.321)	Prec@5 67.000 (68.248)
Epoch: [14][3670/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5335 (2.5694)	Prec@1 40.500 (37.322)	Prec@5 64.000 (68.251)
Epoch: [14][3680/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5383 (2.5692)	Prec@1 43.500 (37.326)	Prec@5 71.000 (68.259)
Epoch: [14][3690/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6845 (2.5693)	Prec@1 29.500 (37.325)	Prec@5 68.500 (68.260)
Epoch: [14][3700/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6877 (2.5695)	Prec@1 38.000 (37.322)	Prec@5 67.500 (68.255)
Epoch: [14][3710/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7271 (2.5695)	Prec@1 32.000 (37.323)	Prec@5 64.000 (68.252)
Epoch: [14][3720/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5601 (2.5694)	Prec@1 35.000 (37.324)	Prec@5 72.000 (68.253)
Epoch: [14][3730/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7085 (2.5696)	Prec@1 35.500 (37.322)	Prec@5 65.500 (68.251)
Epoch: [14][3740/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3929 (2.5697)	Prec@1 40.000 (37.317)	Prec@5 77.000 (68.254)
Epoch: [14][3750/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4403 (2.5697)	Prec@1 37.500 (37.319)	Prec@5 70.500 (68.256)
Epoch: [14][3760/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5591 (2.5699)	Prec@1 42.000 (37.319)	Prec@5 68.000 (68.253)
Epoch: [14][3770/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.4898 (2.5698)	Prec@1 41.500 (37.318)	Prec@5 70.500 (68.250)
Epoch: [14][3780/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6416 (2.5697)	Prec@1 36.000 (37.320)	Prec@5 67.000 (68.251)
Epoch: [14][3790/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4325 (2.5696)	Prec@1 41.000 (37.320)	Prec@5 68.000 (68.253)
Epoch: [14][3800/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4850 (2.5696)	Prec@1 40.000 (37.319)	Prec@5 67.500 (68.249)
Epoch: [14][3810/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6467 (2.5698)	Prec@1 37.000 (37.318)	Prec@5 68.000 (68.243)
Epoch: [14][3820/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.6279 (2.5696)	Prec@1 32.000 (37.322)	Prec@5 68.000 (68.246)
Epoch: [14][3830/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5033 (2.5697)	Prec@1 38.500 (37.321)	Prec@5 69.000 (68.244)
Epoch: [14][3840/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7492 (2.5698)	Prec@1 35.500 (37.319)	Prec@5 65.000 (68.243)
Epoch: [14][3850/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5251 (2.5698)	Prec@1 40.000 (37.316)	Prec@5 63.500 (68.239)
Epoch: [14][3860/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5014 (2.5698)	Prec@1 38.500 (37.316)	Prec@5 66.500 (68.235)
Epoch: [14][3870/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.7652 (2.5700)	Prec@1 33.000 (37.313)	Prec@5 63.000 (68.231)
Epoch: [14][3880/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5661 (2.5701)	Prec@1 37.500 (37.308)	Prec@5 68.000 (68.225)
Epoch: [14][3890/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3964 (2.5703)	Prec@1 42.000 (37.304)	Prec@5 70.500 (68.223)
Epoch: [14][3900/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5108 (2.5703)	Prec@1 38.500 (37.307)	Prec@5 63.500 (68.222)
Epoch: [14][3910/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.6968 (2.5706)	Prec@1 32.000 (37.300)	Prec@5 66.000 (68.217)
Epoch: [14][3920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6925 (2.5704)	Prec@1 39.000 (37.301)	Prec@5 71.000 (68.225)
Epoch: [14][3930/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6814 (2.5703)	Prec@1 38.000 (37.303)	Prec@5 65.500 (68.227)
Epoch: [14][3940/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5563 (2.5702)	Prec@1 35.500 (37.307)	Prec@5 67.000 (68.228)
Epoch: [14][3950/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6307 (2.5702)	Prec@1 39.000 (37.309)	Prec@5 66.500 (68.226)
Epoch: [14][3960/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4888 (2.5702)	Prec@1 38.000 (37.310)	Prec@5 70.000 (68.223)
Epoch: [14][3970/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4442 (2.5701)	Prec@1 41.000 (37.310)	Prec@5 69.000 (68.225)
Epoch: [14][3980/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4357 (2.5702)	Prec@1 40.500 (37.308)	Prec@5 67.500 (68.223)
Epoch: [14][3990/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4508 (2.5702)	Prec@1 38.500 (37.305)	Prec@5 71.500 (68.223)
Epoch: [14][4000/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3431 (2.5701)	Prec@1 43.000 (37.306)	Prec@5 73.000 (68.224)
Epoch: [14][4010/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5828 (2.5701)	Prec@1 40.500 (37.309)	Prec@5 66.000 (68.223)
Epoch: [14][4020/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6159 (2.5702)	Prec@1 36.500 (37.308)	Prec@5 69.500 (68.220)
Epoch: [14][4030/9018]	Time 0.646 (0.615)	Data 0.003 (0.001)	Loss 2.7901 (2.5704)	Prec@1 34.500 (37.305)	Prec@5 62.500 (68.215)
Epoch: [14][4040/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8938 (2.5705)	Prec@1 34.000 (37.304)	Prec@5 60.500 (68.212)
Epoch: [14][4050/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8356 (2.5706)	Prec@1 35.000 (37.304)	Prec@5 61.500 (68.208)
Epoch: [14][4060/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4981 (2.5707)	Prec@1 37.000 (37.304)	Prec@5 66.000 (68.207)
Epoch: [14][4070/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5055 (2.5706)	Prec@1 40.000 (37.306)	Prec@5 69.500 (68.209)
Epoch: [14][4080/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5003 (2.5706)	Prec@1 38.500 (37.305)	Prec@5 70.000 (68.209)
Epoch: [14][4090/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6689 (2.5706)	Prec@1 36.500 (37.306)	Prec@5 64.000 (68.209)
Epoch: [14][4100/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.5414 (2.5704)	Prec@1 40.500 (37.311)	Prec@5 66.500 (68.210)
Epoch: [14][4110/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6012 (2.5705)	Prec@1 39.000 (37.312)	Prec@5 63.500 (68.211)
Epoch: [14][4120/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5596 (2.5704)	Prec@1 36.500 (37.312)	Prec@5 70.500 (68.213)
Epoch: [14][4130/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4599 (2.5704)	Prec@1 42.500 (37.313)	Prec@5 69.000 (68.213)
Epoch: [14][4140/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6617 (2.5704)	Prec@1 38.000 (37.313)	Prec@5 68.500 (68.215)
Epoch: [14][4150/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.7387 (2.5705)	Prec@1 37.500 (37.310)	Prec@5 63.000 (68.213)
Epoch: [14][4160/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4272 (2.5703)	Prec@1 43.500 (37.315)	Prec@5 70.000 (68.217)
Epoch: [14][4170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3084 (2.5702)	Prec@1 46.000 (37.317)	Prec@5 72.500 (68.219)
Epoch: [14][4180/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4511 (2.5702)	Prec@1 43.000 (37.319)	Prec@5 70.000 (68.219)
Epoch: [14][4190/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4065 (2.5703)	Prec@1 38.500 (37.317)	Prec@5 67.500 (68.219)
Epoch: [14][4200/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4001 (2.5704)	Prec@1 38.500 (37.314)	Prec@5 74.000 (68.218)
Epoch: [14][4210/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5529 (2.5704)	Prec@1 39.000 (37.317)	Prec@5 71.000 (68.217)
Epoch: [14][4220/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6021 (2.5704)	Prec@1 33.500 (37.313)	Prec@5 70.000 (68.217)
Epoch: [14][4230/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6558 (2.5704)	Prec@1 34.000 (37.311)	Prec@5 67.000 (68.218)
Epoch: [14][4240/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4620 (2.5705)	Prec@1 41.500 (37.311)	Prec@5 69.000 (68.218)
Epoch: [14][4250/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.8104 (2.5704)	Prec@1 33.500 (37.316)	Prec@5 67.000 (68.221)
Epoch: [14][4260/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3673 (2.5704)	Prec@1 37.000 (37.318)	Prec@5 69.500 (68.221)
Epoch: [14][4270/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6640 (2.5702)	Prec@1 33.000 (37.321)	Prec@5 68.000 (68.224)
Epoch: [14][4280/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7360 (2.5702)	Prec@1 37.500 (37.320)	Prec@5 70.500 (68.226)
Epoch: [14][4290/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8471 (2.5703)	Prec@1 33.000 (37.323)	Prec@5 63.000 (68.223)
Epoch: [14][4300/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5362 (2.5701)	Prec@1 39.000 (37.325)	Prec@5 69.000 (68.225)
Epoch: [14][4310/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5363 (2.5701)	Prec@1 42.000 (37.326)	Prec@5 68.500 (68.223)
Epoch: [14][4320/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4977 (2.5700)	Prec@1 38.500 (37.330)	Prec@5 66.000 (68.225)
Epoch: [14][4330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.9088 (2.5701)	Prec@1 33.500 (37.326)	Prec@5 60.500 (68.225)
Epoch: [14][4340/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6559 (2.5701)	Prec@1 33.000 (37.324)	Prec@5 67.000 (68.223)
Epoch: [14][4350/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6998 (2.5702)	Prec@1 39.000 (37.322)	Prec@5 68.000 (68.221)
Epoch: [14][4360/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7694 (2.5703)	Prec@1 35.500 (37.319)	Prec@5 63.000 (68.218)
Epoch: [14][4370/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6249 (2.5704)	Prec@1 34.500 (37.320)	Prec@5 69.000 (68.219)
Epoch: [14][4380/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5274 (2.5704)	Prec@1 39.000 (37.321)	Prec@5 67.500 (68.220)
Epoch: [14][4390/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6744 (2.5705)	Prec@1 35.000 (37.320)	Prec@5 62.000 (68.216)
Epoch: [14][4400/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3921 (2.5704)	Prec@1 43.500 (37.327)	Prec@5 70.000 (68.217)
Epoch: [14][4410/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4149 (2.5704)	Prec@1 37.000 (37.329)	Prec@5 69.000 (68.218)
Epoch: [14][4420/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7633 (2.5705)	Prec@1 28.500 (37.327)	Prec@5 65.000 (68.217)
Epoch: [14][4430/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.6818 (2.5704)	Prec@1 32.500 (37.328)	Prec@5 64.500 (68.217)
Epoch: [14][4440/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.5919 (2.5704)	Prec@1 33.000 (37.324)	Prec@5 67.500 (68.217)
Epoch: [14][4450/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4699 (2.5703)	Prec@1 38.500 (37.328)	Prec@5 69.000 (68.218)
Epoch: [14][4460/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6380 (2.5704)	Prec@1 39.000 (37.326)	Prec@5 63.500 (68.216)
Epoch: [14][4470/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.9452 (2.5704)	Prec@1 29.500 (37.325)	Prec@5 63.000 (68.216)
Epoch: [14][4480/9018]	Time 0.765 (0.615)	Data 0.001 (0.001)	Loss 2.6876 (2.5704)	Prec@1 34.500 (37.328)	Prec@5 66.000 (68.216)
Epoch: [14][4490/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5265 (2.5704)	Prec@1 34.500 (37.331)	Prec@5 71.500 (68.217)
Epoch: [14][4500/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5514 (2.5705)	Prec@1 38.500 (37.332)	Prec@5 66.500 (68.217)
Epoch: [14][4510/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6132 (2.5705)	Prec@1 31.500 (37.333)	Prec@5 69.500 (68.215)
Epoch: [14][4520/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.2358 (2.5705)	Prec@1 48.500 (37.335)	Prec@5 76.000 (68.213)
Epoch: [14][4530/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5338 (2.5705)	Prec@1 39.500 (37.334)	Prec@5 66.500 (68.212)
Epoch: [14][4540/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5300 (2.5704)	Prec@1 36.500 (37.335)	Prec@5 68.500 (68.211)
Epoch: [14][4550/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1970 (2.5703)	Prec@1 44.000 (37.337)	Prec@5 76.000 (68.211)
Epoch: [14][4560/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4365 (2.5704)	Prec@1 40.000 (37.332)	Prec@5 71.500 (68.211)
Epoch: [14][4570/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6057 (2.5704)	Prec@1 42.500 (37.333)	Prec@5 69.500 (68.211)
Epoch: [14][4580/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5832 (2.5704)	Prec@1 37.000 (37.336)	Prec@5 71.500 (68.216)
Epoch: [14][4590/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4448 (2.5703)	Prec@1 40.500 (37.337)	Prec@5 71.000 (68.217)
Epoch: [14][4600/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3191 (2.5703)	Prec@1 44.000 (37.333)	Prec@5 74.500 (68.217)
Epoch: [14][4610/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7208 (2.5705)	Prec@1 32.500 (37.329)	Prec@5 67.500 (68.213)
Epoch: [14][4620/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7667 (2.5707)	Prec@1 33.500 (37.327)	Prec@5 61.500 (68.210)
Epoch: [14][4630/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5909 (2.5707)	Prec@1 34.500 (37.324)	Prec@5 67.500 (68.211)
Epoch: [14][4640/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.4662 (2.5707)	Prec@1 36.500 (37.321)	Prec@5 69.000 (68.210)
Epoch: [14][4650/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5211 (2.5708)	Prec@1 37.000 (37.320)	Prec@5 68.500 (68.207)
Epoch: [14][4660/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5596 (2.5709)	Prec@1 34.000 (37.317)	Prec@5 71.000 (68.207)
Epoch: [14][4670/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7035 (2.5708)	Prec@1 32.000 (37.317)	Prec@5 65.500 (68.207)
Epoch: [14][4680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2480 (2.5707)	Prec@1 44.500 (37.317)	Prec@5 75.000 (68.209)
Epoch: [14][4690/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.3175 (2.5709)	Prec@1 39.500 (37.317)	Prec@5 73.500 (68.207)
Epoch: [14][4700/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3921 (2.5709)	Prec@1 40.000 (37.315)	Prec@5 71.000 (68.204)
Epoch: [14][4710/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4093 (2.5709)	Prec@1 42.000 (37.321)	Prec@5 71.500 (68.204)
Epoch: [14][4720/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6713 (2.5709)	Prec@1 35.500 (37.323)	Prec@5 67.500 (68.204)
Epoch: [14][4730/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5299 (2.5708)	Prec@1 37.500 (37.325)	Prec@5 67.500 (68.205)
Epoch: [14][4740/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8859 (2.5708)	Prec@1 31.000 (37.323)	Prec@5 62.000 (68.205)
Epoch: [14][4750/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4787 (2.5706)	Prec@1 39.500 (37.326)	Prec@5 70.000 (68.206)
Epoch: [14][4760/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 2.6958 (2.5706)	Prec@1 34.500 (37.328)	Prec@5 66.000 (68.208)
Epoch: [14][4770/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3395 (2.5706)	Prec@1 41.000 (37.331)	Prec@5 70.000 (68.209)
Epoch: [14][4780/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6555 (2.5705)	Prec@1 34.000 (37.333)	Prec@5 66.000 (68.210)
Epoch: [14][4790/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6183 (2.5705)	Prec@1 38.000 (37.335)	Prec@5 68.500 (68.209)
Epoch: [14][4800/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5444 (2.5707)	Prec@1 36.500 (37.332)	Prec@5 67.500 (68.207)
Epoch: [14][4810/9018]	Time 0.758 (0.615)	Data 0.001 (0.001)	Loss 2.4895 (2.5708)	Prec@1 36.500 (37.331)	Prec@5 73.000 (68.206)
Epoch: [14][4820/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6470 (2.5709)	Prec@1 33.500 (37.326)	Prec@5 66.000 (68.203)
Epoch: [14][4830/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6481 (2.5710)	Prec@1 35.500 (37.324)	Prec@5 66.000 (68.200)
Epoch: [14][4840/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6567 (2.5710)	Prec@1 37.000 (37.322)	Prec@5 66.500 (68.198)
Epoch: [14][4850/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6331 (2.5710)	Prec@1 40.000 (37.326)	Prec@5 63.000 (68.196)
Epoch: [14][4860/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5433 (2.5711)	Prec@1 37.500 (37.324)	Prec@5 66.000 (68.195)
Epoch: [14][4870/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5837 (2.5711)	Prec@1 39.000 (37.325)	Prec@5 68.500 (68.196)
Epoch: [14][4880/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7984 (2.5711)	Prec@1 37.000 (37.325)	Prec@5 60.000 (68.194)
Epoch: [14][4890/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4431 (2.5710)	Prec@1 35.500 (37.325)	Prec@5 71.500 (68.195)
Epoch: [14][4900/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5345 (2.5710)	Prec@1 36.000 (37.325)	Prec@5 69.000 (68.197)
Epoch: [14][4910/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6076 (2.5709)	Prec@1 39.000 (37.329)	Prec@5 66.500 (68.196)
Epoch: [14][4920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6020 (2.5709)	Prec@1 37.500 (37.328)	Prec@5 66.500 (68.195)
Epoch: [14][4930/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5366 (2.5708)	Prec@1 38.000 (37.330)	Prec@5 69.000 (68.196)
Epoch: [14][4940/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4031 (2.5709)	Prec@1 37.000 (37.329)	Prec@5 69.000 (68.193)
Epoch: [14][4950/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.2635 (2.5709)	Prec@1 41.000 (37.329)	Prec@5 77.500 (68.194)
Epoch: [14][4960/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4209 (2.5707)	Prec@1 41.500 (37.331)	Prec@5 72.500 (68.198)
Epoch: [14][4970/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3090 (2.5707)	Prec@1 40.500 (37.334)	Prec@5 78.000 (68.201)
Epoch: [14][4980/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4608 (2.5708)	Prec@1 39.500 (37.332)	Prec@5 71.000 (68.198)
Epoch: [14][4990/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8105 (2.5707)	Prec@1 36.000 (37.334)	Prec@5 65.500 (68.200)
Epoch: [14][5000/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6294 (2.5706)	Prec@1 32.500 (37.334)	Prec@5 73.500 (68.201)
Epoch: [14][5010/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6315 (2.5706)	Prec@1 35.500 (37.334)	Prec@5 68.000 (68.200)
Epoch: [14][5020/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5357 (2.5705)	Prec@1 38.500 (37.336)	Prec@5 71.500 (68.202)
Epoch: [14][5030/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6839 (2.5705)	Prec@1 37.000 (37.339)	Prec@5 64.000 (68.201)
Epoch: [14][5040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5272 (2.5705)	Prec@1 37.500 (37.341)	Prec@5 68.500 (68.199)
Epoch: [14][5050/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5461 (2.5706)	Prec@1 37.000 (37.340)	Prec@5 72.000 (68.196)
Epoch: [14][5060/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7815 (2.5706)	Prec@1 35.000 (37.340)	Prec@5 67.000 (68.196)
Epoch: [14][5070/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6261 (2.5706)	Prec@1 32.500 (37.338)	Prec@5 69.000 (68.197)
Epoch: [14][5080/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6775 (2.5706)	Prec@1 32.000 (37.334)	Prec@5 67.000 (68.199)
Epoch: [14][5090/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.9789 (2.5706)	Prec@1 31.500 (37.337)	Prec@5 62.000 (68.201)
Epoch: [14][5100/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7524 (2.5707)	Prec@1 36.000 (37.336)	Prec@5 65.500 (68.199)
Epoch: [14][5110/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3655 (2.5706)	Prec@1 42.000 (37.336)	Prec@5 75.500 (68.201)
Epoch: [14][5120/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7583 (2.5706)	Prec@1 34.000 (37.336)	Prec@5 61.000 (68.200)
Epoch: [14][5130/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7898 (2.5706)	Prec@1 32.000 (37.337)	Prec@5 65.000 (68.200)
Epoch: [14][5140/9018]	Time 0.760 (0.615)	Data 0.001 (0.001)	Loss 2.6778 (2.5706)	Prec@1 34.500 (37.334)	Prec@5 65.500 (68.199)
Epoch: [14][5150/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5126 (2.5706)	Prec@1 40.500 (37.331)	Prec@5 71.000 (68.199)
Epoch: [14][5160/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7298 (2.5707)	Prec@1 34.500 (37.330)	Prec@5 64.500 (68.198)
Epoch: [14][5170/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4756 (2.5706)	Prec@1 39.000 (37.333)	Prec@5 66.000 (68.200)
Epoch: [14][5180/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4457 (2.5706)	Prec@1 37.500 (37.334)	Prec@5 71.000 (68.199)
Epoch: [14][5190/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6442 (2.5706)	Prec@1 36.500 (37.335)	Prec@5 64.500 (68.197)
Epoch: [14][5200/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6188 (2.5708)	Prec@1 41.500 (37.331)	Prec@5 65.000 (68.194)
Epoch: [14][5210/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6266 (2.5710)	Prec@1 35.000 (37.329)	Prec@5 63.500 (68.188)
Epoch: [14][5220/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8168 (2.5710)	Prec@1 34.000 (37.331)	Prec@5 63.000 (68.186)
Epoch: [14][5230/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6303 (2.5710)	Prec@1 32.500 (37.330)	Prec@5 65.500 (68.186)
Epoch: [14][5240/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4865 (2.5710)	Prec@1 39.500 (37.328)	Prec@5 65.500 (68.185)
Epoch: [14][5250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6044 (2.5709)	Prec@1 40.000 (37.330)	Prec@5 67.500 (68.185)
Epoch: [14][5260/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6263 (2.5709)	Prec@1 42.000 (37.332)	Prec@5 66.000 (68.185)
Epoch: [14][5270/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5206 (2.5709)	Prec@1 37.000 (37.331)	Prec@5 69.000 (68.183)
Epoch: [14][5280/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4310 (2.5709)	Prec@1 37.000 (37.331)	Prec@5 70.000 (68.183)
Epoch: [14][5290/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8112 (2.5710)	Prec@1 33.500 (37.329)	Prec@5 65.500 (68.181)
Epoch: [14][5300/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6652 (2.5709)	Prec@1 36.000 (37.331)	Prec@5 65.000 (68.183)
Epoch: [14][5310/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5243 (2.5708)	Prec@1 38.500 (37.335)	Prec@5 71.000 (68.187)
Epoch: [14][5320/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6737 (2.5709)	Prec@1 33.000 (37.332)	Prec@5 70.500 (68.187)
Epoch: [14][5330/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4692 (2.5708)	Prec@1 40.000 (37.332)	Prec@5 71.000 (68.189)
Epoch: [14][5340/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5181 (2.5709)	Prec@1 37.000 (37.333)	Prec@5 69.500 (68.189)
Epoch: [14][5350/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4671 (2.5709)	Prec@1 38.500 (37.329)	Prec@5 67.000 (68.186)
Epoch: [14][5360/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7159 (2.5709)	Prec@1 35.000 (37.330)	Prec@5 67.000 (68.186)
Epoch: [14][5370/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4898 (2.5710)	Prec@1 38.000 (37.331)	Prec@5 69.000 (68.185)
Epoch: [14][5380/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6121 (2.5709)	Prec@1 37.500 (37.337)	Prec@5 67.000 (68.186)
Epoch: [14][5390/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7153 (2.5709)	Prec@1 36.500 (37.339)	Prec@5 63.000 (68.185)
Epoch: [14][5400/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4600 (2.5710)	Prec@1 39.500 (37.339)	Prec@5 71.000 (68.185)
Epoch: [14][5410/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.5744 (2.5710)	Prec@1 37.500 (37.339)	Prec@5 67.000 (68.185)
Epoch: [14][5420/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.4691 (2.5708)	Prec@1 37.000 (37.340)	Prec@5 69.500 (68.188)
Epoch: [14][5430/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4510 (2.5708)	Prec@1 37.000 (37.340)	Prec@5 70.500 (68.188)
Epoch: [14][5440/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5969 (2.5709)	Prec@1 35.500 (37.340)	Prec@5 71.500 (68.187)
Epoch: [14][5450/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6191 (2.5710)	Prec@1 38.000 (37.338)	Prec@5 68.000 (68.185)
Epoch: [14][5460/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6087 (2.5709)	Prec@1 37.500 (37.340)	Prec@5 67.500 (68.185)
Epoch: [14][5470/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.5125 (2.5709)	Prec@1 39.500 (37.342)	Prec@5 66.000 (68.184)
Epoch: [14][5480/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.8221 (2.5709)	Prec@1 33.000 (37.343)	Prec@5 65.000 (68.187)
Epoch: [14][5490/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6972 (2.5708)	Prec@1 36.000 (37.344)	Prec@5 67.500 (68.190)
Epoch: [14][5500/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6471 (2.5709)	Prec@1 34.000 (37.343)	Prec@5 66.500 (68.190)
Epoch: [14][5510/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6117 (2.5709)	Prec@1 37.500 (37.345)	Prec@5 65.000 (68.189)
Epoch: [14][5520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4680 (2.5708)	Prec@1 39.500 (37.346)	Prec@5 65.500 (68.187)
Epoch: [14][5530/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4984 (2.5708)	Prec@1 41.000 (37.347)	Prec@5 71.000 (68.187)
Epoch: [14][5540/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7297 (2.5710)	Prec@1 32.500 (37.343)	Prec@5 65.500 (68.186)
Epoch: [14][5550/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4654 (2.5710)	Prec@1 38.000 (37.343)	Prec@5 65.500 (68.186)
Epoch: [14][5560/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4205 (2.5710)	Prec@1 43.500 (37.344)	Prec@5 73.000 (68.187)
Epoch: [14][5570/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5543 (2.5710)	Prec@1 40.000 (37.343)	Prec@5 66.500 (68.185)
Epoch: [14][5580/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6087 (2.5712)	Prec@1 34.500 (37.343)	Prec@5 69.000 (68.183)
Epoch: [14][5590/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7401 (2.5711)	Prec@1 36.000 (37.343)	Prec@5 68.000 (68.184)
Epoch: [14][5600/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7439 (2.5711)	Prec@1 33.500 (37.343)	Prec@5 67.000 (68.186)
Epoch: [14][5610/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6486 (2.5712)	Prec@1 36.000 (37.342)	Prec@5 67.000 (68.184)
Epoch: [14][5620/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5071 (2.5711)	Prec@1 39.500 (37.345)	Prec@5 68.500 (68.185)
Epoch: [14][5630/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4891 (2.5712)	Prec@1 38.500 (37.345)	Prec@5 65.000 (68.182)
Epoch: [14][5640/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5987 (2.5711)	Prec@1 36.000 (37.346)	Prec@5 67.500 (68.183)
Epoch: [14][5650/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.8505 (2.5713)	Prec@1 30.500 (37.343)	Prec@5 65.000 (68.181)
Epoch: [14][5660/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6897 (2.5713)	Prec@1 28.500 (37.342)	Prec@5 68.500 (68.181)
Epoch: [14][5670/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5675 (2.5714)	Prec@1 38.500 (37.339)	Prec@5 72.000 (68.179)
Epoch: [14][5680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7676 (2.5715)	Prec@1 33.000 (37.338)	Prec@5 62.500 (68.177)
Epoch: [14][5690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7042 (2.5715)	Prec@1 29.000 (37.338)	Prec@5 68.000 (68.177)
Epoch: [14][5700/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6111 (2.5715)	Prec@1 35.000 (37.336)	Prec@5 70.500 (68.178)
Epoch: [14][5710/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.8305 (2.5716)	Prec@1 34.500 (37.336)	Prec@5 65.500 (68.179)
Epoch: [14][5720/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6470 (2.5715)	Prec@1 37.000 (37.336)	Prec@5 69.500 (68.180)
Epoch: [14][5730/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.7587 (2.5716)	Prec@1 35.000 (37.335)	Prec@5 66.500 (68.180)
Epoch: [14][5740/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4322 (2.5715)	Prec@1 35.000 (37.337)	Prec@5 72.000 (68.183)
Epoch: [14][5750/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.6766 (2.5715)	Prec@1 39.000 (37.336)	Prec@5 66.500 (68.182)
Epoch: [14][5760/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4156 (2.5714)	Prec@1 40.500 (37.336)	Prec@5 68.500 (68.186)
Epoch: [14][5770/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5905 (2.5715)	Prec@1 37.500 (37.335)	Prec@5 67.000 (68.183)
Epoch: [14][5780/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4887 (2.5714)	Prec@1 38.000 (37.337)	Prec@5 70.000 (68.183)
Epoch: [14][5790/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6397 (2.5715)	Prec@1 38.000 (37.336)	Prec@5 69.000 (68.182)
Epoch: [14][5800/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.5420 (2.5715)	Prec@1 38.500 (37.336)	Prec@5 69.000 (68.182)
Epoch: [14][5810/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7557 (2.5715)	Prec@1 34.500 (37.337)	Prec@5 65.500 (68.182)
Epoch: [14][5820/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7023 (2.5715)	Prec@1 33.500 (37.340)	Prec@5 68.000 (68.184)
Epoch: [14][5830/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5624 (2.5715)	Prec@1 36.000 (37.340)	Prec@5 70.000 (68.186)
Epoch: [14][5840/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4668 (2.5714)	Prec@1 38.500 (37.339)	Prec@5 68.500 (68.189)
Epoch: [14][5850/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6714 (2.5714)	Prec@1 38.000 (37.337)	Prec@5 65.000 (68.188)
Epoch: [14][5860/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7627 (2.5714)	Prec@1 32.000 (37.336)	Prec@5 62.500 (68.187)
Epoch: [14][5870/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7386 (2.5715)	Prec@1 35.000 (37.336)	Prec@5 65.000 (68.186)
Epoch: [14][5880/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.9083 (2.5715)	Prec@1 32.500 (37.337)	Prec@5 60.500 (68.185)
Epoch: [14][5890/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5782 (2.5715)	Prec@1 34.000 (37.336)	Prec@5 70.500 (68.183)
Epoch: [14][5900/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6203 (2.5716)	Prec@1 35.000 (37.335)	Prec@5 66.500 (68.182)
Epoch: [14][5910/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6209 (2.5716)	Prec@1 38.500 (37.335)	Prec@5 64.500 (68.179)
Epoch: [14][5920/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5462 (2.5716)	Prec@1 35.000 (37.333)	Prec@5 67.000 (68.179)
Epoch: [14][5930/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7475 (2.5716)	Prec@1 38.500 (37.333)	Prec@5 62.500 (68.178)
Epoch: [14][5940/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.5458 (2.5716)	Prec@1 37.000 (37.334)	Prec@5 67.500 (68.178)
Epoch: [14][5950/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6400 (2.5716)	Prec@1 34.000 (37.334)	Prec@5 66.500 (68.178)
Epoch: [14][5960/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.4888 (2.5715)	Prec@1 38.000 (37.334)	Prec@5 69.500 (68.179)
Epoch: [14][5970/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4276 (2.5716)	Prec@1 39.500 (37.333)	Prec@5 68.500 (68.176)
Epoch: [14][5980/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5509 (2.5715)	Prec@1 35.500 (37.334)	Prec@5 67.000 (68.178)
Epoch: [14][5990/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4743 (2.5715)	Prec@1 37.000 (37.335)	Prec@5 75.000 (68.180)
Epoch: [14][6000/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4749 (2.5715)	Prec@1 36.500 (37.334)	Prec@5 65.500 (68.180)
Epoch: [14][6010/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5313 (2.5715)	Prec@1 35.500 (37.333)	Prec@5 68.500 (68.177)
Epoch: [14][6020/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4540 (2.5714)	Prec@1 39.000 (37.334)	Prec@5 74.000 (68.178)
Epoch: [14][6030/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6634 (2.5714)	Prec@1 35.500 (37.333)	Prec@5 69.500 (68.180)
Epoch: [14][6040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6933 (2.5715)	Prec@1 34.000 (37.330)	Prec@5 67.500 (68.176)
Epoch: [14][6050/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6670 (2.5717)	Prec@1 34.000 (37.330)	Prec@5 65.000 (68.174)
Epoch: [14][6060/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6153 (2.5716)	Prec@1 35.500 (37.331)	Prec@5 67.000 (68.175)
Epoch: [14][6070/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4843 (2.5716)	Prec@1 36.500 (37.331)	Prec@5 70.500 (68.176)
Epoch: [14][6080/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.6957 (2.5718)	Prec@1 36.500 (37.327)	Prec@5 64.500 (68.173)
Epoch: [14][6090/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5150 (2.5718)	Prec@1 37.500 (37.328)	Prec@5 70.500 (68.173)
Epoch: [14][6100/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7158 (2.5719)	Prec@1 32.000 (37.326)	Prec@5 66.000 (68.170)
Epoch: [14][6110/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5773 (2.5720)	Prec@1 36.000 (37.326)	Prec@5 72.000 (68.170)
Epoch: [14][6120/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6564 (2.5719)	Prec@1 34.000 (37.326)	Prec@5 66.000 (68.172)
Epoch: [14][6130/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.6388 (2.5720)	Prec@1 36.000 (37.325)	Prec@5 66.000 (68.170)
Epoch: [14][6140/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5939 (2.5720)	Prec@1 39.000 (37.325)	Prec@5 71.000 (68.170)
Epoch: [14][6150/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4502 (2.5721)	Prec@1 42.000 (37.325)	Prec@5 71.000 (68.168)
Epoch: [14][6160/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6277 (2.5722)	Prec@1 39.500 (37.323)	Prec@5 65.000 (68.168)
Epoch: [14][6170/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5277 (2.5722)	Prec@1 39.500 (37.322)	Prec@5 67.000 (68.166)
Epoch: [14][6180/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5586 (2.5722)	Prec@1 38.500 (37.320)	Prec@5 70.000 (68.166)
Epoch: [14][6190/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5539 (2.5722)	Prec@1 36.000 (37.321)	Prec@5 69.000 (68.165)
Epoch: [14][6200/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7083 (2.5722)	Prec@1 32.500 (37.320)	Prec@5 65.500 (68.166)
Epoch: [14][6210/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7136 (2.5723)	Prec@1 30.000 (37.320)	Prec@5 66.500 (68.164)
Epoch: [14][6220/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5708 (2.5724)	Prec@1 38.000 (37.318)	Prec@5 69.000 (68.163)
Epoch: [14][6230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7120 (2.5723)	Prec@1 36.000 (37.322)	Prec@5 67.500 (68.165)
Epoch: [14][6240/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5274 (2.5723)	Prec@1 38.500 (37.322)	Prec@5 69.000 (68.164)
Epoch: [14][6250/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4690 (2.5723)	Prec@1 37.500 (37.323)	Prec@5 69.500 (68.161)
Epoch: [14][6260/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.8192 (2.5723)	Prec@1 36.000 (37.324)	Prec@5 60.500 (68.161)
Epoch: [14][6270/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6069 (2.5723)	Prec@1 40.500 (37.325)	Prec@5 65.000 (68.161)
Epoch: [14][6280/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4648 (2.5723)	Prec@1 39.000 (37.326)	Prec@5 69.000 (68.162)
Epoch: [14][6290/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6712 (2.5723)	Prec@1 34.500 (37.326)	Prec@5 67.500 (68.162)
Epoch: [14][6300/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5632 (2.5723)	Prec@1 37.000 (37.327)	Prec@5 72.500 (68.164)
Epoch: [14][6310/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5522 (2.5724)	Prec@1 38.500 (37.326)	Prec@5 67.500 (68.162)
Epoch: [14][6320/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6396 (2.5723)	Prec@1 39.000 (37.328)	Prec@5 68.500 (68.162)
Epoch: [14][6330/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4161 (2.5723)	Prec@1 41.000 (37.329)	Prec@5 74.000 (68.161)
Epoch: [14][6340/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8555 (2.5724)	Prec@1 30.500 (37.329)	Prec@5 64.000 (68.160)
Epoch: [14][6350/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4831 (2.5723)	Prec@1 40.500 (37.332)	Prec@5 70.500 (68.163)
Epoch: [14][6360/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7084 (2.5723)	Prec@1 33.000 (37.335)	Prec@5 66.000 (68.162)
Epoch: [14][6370/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4998 (2.5722)	Prec@1 36.500 (37.336)	Prec@5 71.000 (68.165)
Epoch: [14][6380/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4087 (2.5722)	Prec@1 36.000 (37.335)	Prec@5 72.000 (68.165)
Epoch: [14][6390/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6006 (2.5723)	Prec@1 37.500 (37.333)	Prec@5 69.500 (68.164)
Epoch: [14][6400/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7077 (2.5722)	Prec@1 38.500 (37.335)	Prec@5 64.000 (68.163)
Epoch: [14][6410/9018]	Time 0.712 (0.615)	Data 0.001 (0.001)	Loss 2.7020 (2.5722)	Prec@1 30.500 (37.335)	Prec@5 65.500 (68.165)
Epoch: [14][6420/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4451 (2.5722)	Prec@1 37.500 (37.334)	Prec@5 72.000 (68.165)
Epoch: [14][6430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6132 (2.5721)	Prec@1 37.500 (37.335)	Prec@5 67.500 (68.165)
Epoch: [14][6440/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6829 (2.5721)	Prec@1 31.000 (37.335)	Prec@5 68.000 (68.166)
Epoch: [14][6450/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4724 (2.5720)	Prec@1 39.500 (37.336)	Prec@5 68.000 (68.166)
Epoch: [14][6460/9018]	Time 0.712 (0.615)	Data 0.001 (0.001)	Loss 2.7700 (2.5721)	Prec@1 32.500 (37.332)	Prec@5 66.500 (68.165)
Epoch: [14][6470/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5778 (2.5722)	Prec@1 36.500 (37.329)	Prec@5 67.500 (68.166)
Epoch: [14][6480/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5341 (2.5723)	Prec@1 40.000 (37.327)	Prec@5 72.500 (68.165)
Epoch: [14][6490/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7435 (2.5723)	Prec@1 32.500 (37.328)	Prec@5 66.000 (68.165)
Epoch: [14][6500/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7698 (2.5723)	Prec@1 35.000 (37.328)	Prec@5 65.000 (68.163)
Epoch: [14][6510/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4852 (2.5723)	Prec@1 36.000 (37.329)	Prec@5 68.000 (68.163)
Epoch: [14][6520/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7404 (2.5722)	Prec@1 35.000 (37.333)	Prec@5 62.500 (68.164)
Epoch: [14][6530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2513 (2.5722)	Prec@1 44.500 (37.332)	Prec@5 74.500 (68.165)
Epoch: [14][6540/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4247 (2.5723)	Prec@1 43.000 (37.332)	Prec@5 74.500 (68.163)
Epoch: [14][6550/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5655 (2.5723)	Prec@1 39.500 (37.331)	Prec@5 69.000 (68.162)
Epoch: [14][6560/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8395 (2.5724)	Prec@1 34.500 (37.332)	Prec@5 66.000 (68.162)
Epoch: [14][6570/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6915 (2.5723)	Prec@1 35.500 (37.332)	Prec@5 68.000 (68.163)
Epoch: [14][6580/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4897 (2.5724)	Prec@1 36.000 (37.330)	Prec@5 68.500 (68.162)
Epoch: [14][6590/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6280 (2.5725)	Prec@1 37.000 (37.327)	Prec@5 65.500 (68.160)
Epoch: [14][6600/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5007 (2.5723)	Prec@1 43.000 (37.329)	Prec@5 65.500 (68.161)
Epoch: [14][6610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5576 (2.5724)	Prec@1 34.500 (37.326)	Prec@5 71.500 (68.160)
Epoch: [14][6620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6505 (2.5725)	Prec@1 36.500 (37.326)	Prec@5 66.500 (68.158)
Epoch: [14][6630/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4684 (2.5724)	Prec@1 36.500 (37.327)	Prec@5 71.500 (68.160)
Epoch: [14][6640/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.2707 (2.5724)	Prec@1 46.500 (37.326)	Prec@5 73.500 (68.160)
Epoch: [14][6650/9018]	Time 0.587 (0.615)	Data 0.001 (0.001)	Loss 2.4899 (2.5725)	Prec@1 33.500 (37.326)	Prec@5 71.500 (68.160)
Epoch: [14][6660/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5572 (2.5725)	Prec@1 34.500 (37.324)	Prec@5 69.000 (68.161)
Epoch: [14][6670/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5594 (2.5723)	Prec@1 36.500 (37.327)	Prec@5 67.500 (68.163)
Epoch: [14][6680/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3969 (2.5724)	Prec@1 37.000 (37.326)	Prec@5 71.500 (68.162)
Epoch: [14][6690/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.6090 (2.5724)	Prec@1 32.000 (37.328)	Prec@5 66.000 (68.162)
Epoch: [14][6700/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5755 (2.5724)	Prec@1 38.500 (37.331)	Prec@5 67.000 (68.163)
Epoch: [14][6710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5992 (2.5724)	Prec@1 37.000 (37.329)	Prec@5 70.000 (68.163)
Epoch: [14][6720/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6397 (2.5724)	Prec@1 34.000 (37.328)	Prec@5 63.500 (68.160)
Epoch: [14][6730/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.3500 (2.5724)	Prec@1 43.000 (37.329)	Prec@5 71.000 (68.160)
Epoch: [14][6740/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.3188 (2.5724)	Prec@1 48.000 (37.330)	Prec@5 74.000 (68.159)
Epoch: [14][6750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8552 (2.5726)	Prec@1 34.500 (37.328)	Prec@5 61.000 (68.155)
Epoch: [14][6760/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4350 (2.5725)	Prec@1 38.500 (37.329)	Prec@5 74.000 (68.156)
Epoch: [14][6770/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2546 (2.5725)	Prec@1 44.000 (37.331)	Prec@5 74.000 (68.157)
Epoch: [14][6780/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6501 (2.5725)	Prec@1 36.500 (37.331)	Prec@5 71.500 (68.156)
Epoch: [14][6790/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5611 (2.5725)	Prec@1 36.500 (37.331)	Prec@5 66.500 (68.155)
Epoch: [14][6800/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4298 (2.5724)	Prec@1 34.500 (37.329)	Prec@5 72.500 (68.156)
Epoch: [14][6810/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5317 (2.5724)	Prec@1 35.500 (37.329)	Prec@5 68.500 (68.158)
Epoch: [14][6820/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3620 (2.5723)	Prec@1 39.500 (37.329)	Prec@5 73.000 (68.160)
Epoch: [14][6830/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3248 (2.5723)	Prec@1 43.500 (37.328)	Prec@5 72.000 (68.160)
Epoch: [14][6840/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5781 (2.5722)	Prec@1 36.000 (37.330)	Prec@5 70.000 (68.162)
Epoch: [14][6850/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7288 (2.5722)	Prec@1 32.000 (37.330)	Prec@5 66.000 (68.162)
Epoch: [14][6860/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3168 (2.5722)	Prec@1 45.000 (37.330)	Prec@5 72.000 (68.162)
Epoch: [14][6870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4459 (2.5722)	Prec@1 39.500 (37.330)	Prec@5 72.000 (68.162)
Epoch: [14][6880/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5383 (2.5722)	Prec@1 37.000 (37.331)	Prec@5 69.000 (68.164)
Epoch: [14][6890/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5691 (2.5722)	Prec@1 37.500 (37.330)	Prec@5 67.500 (68.163)
Epoch: [14][6900/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5241 (2.5722)	Prec@1 39.000 (37.328)	Prec@5 66.000 (68.161)
Epoch: [14][6910/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5935 (2.5722)	Prec@1 30.500 (37.328)	Prec@5 67.000 (68.161)
Epoch: [14][6920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3839 (2.5722)	Prec@1 41.000 (37.327)	Prec@5 73.500 (68.160)
Epoch: [14][6930/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6610 (2.5723)	Prec@1 35.500 (37.325)	Prec@5 65.500 (68.158)
Epoch: [14][6940/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5449 (2.5723)	Prec@1 36.500 (37.325)	Prec@5 70.500 (68.158)
Epoch: [14][6950/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5687 (2.5724)	Prec@1 39.000 (37.325)	Prec@5 68.500 (68.159)
Epoch: [14][6960/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4885 (2.5723)	Prec@1 40.500 (37.327)	Prec@5 68.500 (68.160)
Epoch: [14][6970/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7325 (2.5723)	Prec@1 33.500 (37.326)	Prec@5 66.500 (68.160)
Epoch: [14][6980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5750 (2.5723)	Prec@1 34.000 (37.326)	Prec@5 69.000 (68.159)
Epoch: [14][6990/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5095 (2.5724)	Prec@1 42.000 (37.325)	Prec@5 71.000 (68.156)
Epoch: [14][7000/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6511 (2.5724)	Prec@1 42.500 (37.326)	Prec@5 68.500 (68.157)
Epoch: [14][7010/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4681 (2.5723)	Prec@1 36.000 (37.325)	Prec@5 69.000 (68.160)
Epoch: [14][7020/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.5525 (2.5724)	Prec@1 37.000 (37.322)	Prec@5 69.500 (68.157)
Epoch: [14][7030/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.8754 (2.5725)	Prec@1 33.000 (37.322)	Prec@5 64.000 (68.156)
Epoch: [14][7040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4589 (2.5724)	Prec@1 39.500 (37.322)	Prec@5 74.500 (68.158)
Epoch: [14][7050/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.3934 (2.5724)	Prec@1 39.000 (37.322)	Prec@5 70.500 (68.157)
Epoch: [14][7060/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6102 (2.5724)	Prec@1 43.500 (37.323)	Prec@5 66.000 (68.157)
Epoch: [14][7070/9018]	Time 0.755 (0.615)	Data 0.001 (0.001)	Loss 2.5714 (2.5725)	Prec@1 36.500 (37.322)	Prec@5 68.000 (68.158)
Epoch: [14][7080/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6779 (2.5725)	Prec@1 36.000 (37.320)	Prec@5 64.000 (68.156)
Epoch: [14][7090/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5782 (2.5725)	Prec@1 40.000 (37.320)	Prec@5 66.500 (68.157)
Epoch: [14][7100/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6556 (2.5724)	Prec@1 34.500 (37.321)	Prec@5 66.500 (68.158)
Epoch: [14][7110/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6290 (2.5725)	Prec@1 39.500 (37.321)	Prec@5 66.000 (68.156)
Epoch: [14][7120/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4833 (2.5725)	Prec@1 35.000 (37.321)	Prec@5 66.500 (68.154)
Epoch: [14][7130/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4782 (2.5726)	Prec@1 38.500 (37.319)	Prec@5 73.500 (68.154)
Epoch: [14][7140/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5729 (2.5726)	Prec@1 39.000 (37.317)	Prec@5 67.500 (68.154)
Epoch: [14][7150/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4923 (2.5727)	Prec@1 39.000 (37.315)	Prec@5 70.000 (68.153)
Epoch: [14][7160/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5069 (2.5726)	Prec@1 38.500 (37.318)	Prec@5 71.000 (68.154)
Epoch: [14][7170/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7057 (2.5727)	Prec@1 33.000 (37.316)	Prec@5 67.500 (68.153)
Epoch: [14][7180/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5608 (2.5728)	Prec@1 39.500 (37.315)	Prec@5 68.500 (68.151)
Epoch: [14][7190/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5097 (2.5727)	Prec@1 38.000 (37.316)	Prec@5 66.500 (68.151)
Epoch: [14][7200/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7501 (2.5727)	Prec@1 35.000 (37.315)	Prec@5 62.500 (68.152)
Epoch: [14][7210/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6973 (2.5728)	Prec@1 35.000 (37.315)	Prec@5 66.500 (68.153)
Epoch: [14][7220/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6900 (2.5728)	Prec@1 32.500 (37.313)	Prec@5 62.500 (68.151)
Epoch: [14][7230/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.8810 (2.5728)	Prec@1 28.000 (37.311)	Prec@5 59.500 (68.149)
Epoch: [14][7240/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5754 (2.5729)	Prec@1 33.500 (37.310)	Prec@5 66.500 (68.147)
Epoch: [14][7250/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4920 (2.5729)	Prec@1 36.000 (37.309)	Prec@5 69.000 (68.148)
Epoch: [14][7260/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6240 (2.5730)	Prec@1 33.000 (37.306)	Prec@5 67.500 (68.149)
Epoch: [14][7270/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5188 (2.5729)	Prec@1 37.000 (37.309)	Prec@5 70.000 (68.150)
Epoch: [14][7280/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6466 (2.5729)	Prec@1 31.000 (37.307)	Prec@5 64.500 (68.151)
Epoch: [14][7290/9018]	Time 0.597 (0.615)	Data 0.002 (0.001)	Loss 2.6342 (2.5729)	Prec@1 37.500 (37.305)	Prec@5 67.000 (68.151)
Epoch: [14][7300/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5315 (2.5729)	Prec@1 37.000 (37.306)	Prec@5 71.500 (68.153)
Epoch: [14][7310/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5466 (2.5727)	Prec@1 35.500 (37.308)	Prec@5 68.000 (68.156)
Epoch: [14][7320/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7223 (2.5728)	Prec@1 32.000 (37.307)	Prec@5 67.500 (68.156)
Epoch: [14][7330/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7119 (2.5727)	Prec@1 34.500 (37.306)	Prec@5 68.000 (68.157)
Epoch: [14][7340/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5072 (2.5728)	Prec@1 39.000 (37.306)	Prec@5 69.500 (68.157)
Epoch: [14][7350/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.4638 (2.5727)	Prec@1 36.500 (37.306)	Prec@5 72.000 (68.157)
Epoch: [14][7360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5842 (2.5729)	Prec@1 33.500 (37.306)	Prec@5 68.000 (68.154)
Epoch: [14][7370/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4105 (2.5729)	Prec@1 41.000 (37.307)	Prec@5 71.500 (68.154)
Epoch: [14][7380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4198 (2.5729)	Prec@1 36.000 (37.306)	Prec@5 74.000 (68.153)
Epoch: [14][7390/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4992 (2.5728)	Prec@1 40.000 (37.307)	Prec@5 67.500 (68.152)
Epoch: [14][7400/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.5572 (2.5728)	Prec@1 40.500 (37.307)	Prec@5 71.000 (68.151)
Epoch: [14][7410/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7804 (2.5729)	Prec@1 30.000 (37.306)	Prec@5 67.500 (68.152)
Epoch: [14][7420/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4426 (2.5728)	Prec@1 37.000 (37.306)	Prec@5 70.500 (68.153)
Epoch: [14][7430/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5980 (2.5728)	Prec@1 35.000 (37.309)	Prec@5 67.000 (68.154)
Epoch: [14][7440/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4951 (2.5727)	Prec@1 38.500 (37.309)	Prec@5 70.000 (68.153)
Epoch: [14][7450/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6249 (2.5728)	Prec@1 35.000 (37.308)	Prec@5 69.000 (68.154)
Epoch: [14][7460/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5301 (2.5728)	Prec@1 36.500 (37.308)	Prec@5 68.500 (68.153)
Epoch: [14][7470/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4298 (2.5727)	Prec@1 40.500 (37.309)	Prec@5 69.500 (68.154)
Epoch: [14][7480/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7240 (2.5728)	Prec@1 34.500 (37.307)	Prec@5 66.000 (68.153)
Epoch: [14][7490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3795 (2.5729)	Prec@1 45.000 (37.306)	Prec@5 69.500 (68.152)
Epoch: [14][7500/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3848 (2.5729)	Prec@1 37.000 (37.307)	Prec@5 73.500 (68.153)
Epoch: [14][7510/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.8228 (2.5729)	Prec@1 33.000 (37.307)	Prec@5 60.500 (68.152)
Epoch: [14][7520/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4666 (2.5729)	Prec@1 39.500 (37.307)	Prec@5 69.000 (68.151)
Epoch: [14][7530/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7561 (2.5729)	Prec@1 33.000 (37.308)	Prec@5 65.000 (68.151)
Epoch: [14][7540/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5155 (2.5729)	Prec@1 36.500 (37.307)	Prec@5 70.500 (68.150)
Epoch: [14][7550/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6010 (2.5729)	Prec@1 38.500 (37.307)	Prec@5 67.000 (68.150)
Epoch: [14][7560/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6347 (2.5729)	Prec@1 34.500 (37.307)	Prec@5 67.000 (68.150)
Epoch: [14][7570/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7319 (2.5730)	Prec@1 36.000 (37.306)	Prec@5 67.000 (68.149)
Epoch: [14][7580/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5601 (2.5730)	Prec@1 36.000 (37.304)	Prec@5 66.000 (68.148)
Epoch: [14][7590/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5107 (2.5730)	Prec@1 37.000 (37.305)	Prec@5 71.500 (68.150)
Epoch: [14][7600/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6900 (2.5730)	Prec@1 35.000 (37.304)	Prec@5 67.500 (68.150)
Epoch: [14][7610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6490 (2.5730)	Prec@1 36.000 (37.303)	Prec@5 64.500 (68.148)
Epoch: [14][7620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6950 (2.5731)	Prec@1 32.500 (37.302)	Prec@5 66.500 (68.146)
Epoch: [14][7630/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5060 (2.5731)	Prec@1 40.500 (37.300)	Prec@5 70.500 (68.145)
Epoch: [14][7640/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4571 (2.5730)	Prec@1 38.500 (37.304)	Prec@5 70.000 (68.146)
Epoch: [14][7650/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.8916 (2.5730)	Prec@1 30.500 (37.303)	Prec@5 62.000 (68.145)
Epoch: [14][7660/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5606 (2.5730)	Prec@1 42.000 (37.305)	Prec@5 64.000 (68.144)
Epoch: [14][7670/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7224 (2.5731)	Prec@1 35.500 (37.305)	Prec@5 62.000 (68.143)
Epoch: [14][7680/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.6907 (2.5730)	Prec@1 34.000 (37.307)	Prec@5 66.000 (68.146)
Epoch: [14][7690/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5048 (2.5731)	Prec@1 42.500 (37.304)	Prec@5 67.000 (68.141)
Epoch: [14][7700/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7991 (2.5731)	Prec@1 37.000 (37.304)	Prec@5 65.500 (68.141)
Epoch: [14][7710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5805 (2.5731)	Prec@1 38.000 (37.305)	Prec@5 68.500 (68.140)
Epoch: [14][7720/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4106 (2.5730)	Prec@1 44.500 (37.309)	Prec@5 71.500 (68.141)
Epoch: [14][7730/9018]	Time 0.762 (0.615)	Data 0.001 (0.001)	Loss 2.5839 (2.5730)	Prec@1 43.500 (37.309)	Prec@5 66.000 (68.140)
Epoch: [14][7740/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6947 (2.5730)	Prec@1 30.500 (37.308)	Prec@5 65.000 (68.141)
Epoch: [14][7750/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5683 (2.5730)	Prec@1 38.000 (37.305)	Prec@5 66.500 (68.139)
Epoch: [14][7760/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5644 (2.5729)	Prec@1 37.000 (37.305)	Prec@5 67.500 (68.139)
Epoch: [14][7770/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7240 (2.5729)	Prec@1 37.000 (37.304)	Prec@5 64.500 (68.140)
Epoch: [14][7780/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5197 (2.5729)	Prec@1 39.500 (37.305)	Prec@5 70.000 (68.140)
Epoch: [14][7790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3728 (2.5730)	Prec@1 44.000 (37.305)	Prec@5 71.000 (68.140)
Epoch: [14][7800/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4704 (2.5731)	Prec@1 37.000 (37.302)	Prec@5 70.500 (68.138)
Epoch: [14][7810/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8366 (2.5731)	Prec@1 33.500 (37.303)	Prec@5 62.000 (68.138)
Epoch: [14][7820/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2939 (2.5731)	Prec@1 46.000 (37.304)	Prec@5 72.500 (68.139)
Epoch: [14][7830/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4859 (2.5730)	Prec@1 36.500 (37.305)	Prec@5 68.500 (68.141)
Epoch: [14][7840/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4871 (2.5729)	Prec@1 42.000 (37.307)	Prec@5 70.500 (68.143)
Epoch: [14][7850/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7191 (2.5729)	Prec@1 40.000 (37.307)	Prec@5 62.500 (68.143)
Epoch: [14][7860/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.9336 (2.5730)	Prec@1 29.500 (37.307)	Prec@5 62.000 (68.141)
Epoch: [14][7870/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6784 (2.5731)	Prec@1 34.000 (37.306)	Prec@5 65.000 (68.141)
Epoch: [14][7880/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4399 (2.5731)	Prec@1 43.000 (37.306)	Prec@5 69.500 (68.142)
Epoch: [14][7890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4763 (2.5732)	Prec@1 39.500 (37.303)	Prec@5 70.000 (68.139)
Epoch: [14][7900/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4062 (2.5732)	Prec@1 38.000 (37.302)	Prec@5 72.500 (68.139)
Epoch: [14][7910/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6767 (2.5732)	Prec@1 33.000 (37.301)	Prec@5 66.000 (68.140)
Epoch: [14][7920/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2504 (2.5731)	Prec@1 41.500 (37.302)	Prec@5 74.000 (68.143)
Epoch: [14][7930/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7261 (2.5731)	Prec@1 38.500 (37.301)	Prec@5 65.000 (68.143)
Epoch: [14][7940/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7321 (2.5732)	Prec@1 37.500 (37.300)	Prec@5 63.500 (68.143)
Epoch: [14][7950/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2624 (2.5731)	Prec@1 42.500 (37.303)	Prec@5 73.000 (68.145)
Epoch: [14][7960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4583 (2.5731)	Prec@1 34.500 (37.301)	Prec@5 69.500 (68.144)
Epoch: [14][7970/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6662 (2.5731)	Prec@1 35.000 (37.302)	Prec@5 65.500 (68.144)
Epoch: [14][7980/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6223 (2.5730)	Prec@1 37.000 (37.304)	Prec@5 65.500 (68.144)
Epoch: [14][7990/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4739 (2.5730)	Prec@1 38.000 (37.304)	Prec@5 74.500 (68.145)
Epoch: [14][8000/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4603 (2.5731)	Prec@1 38.500 (37.303)	Prec@5 69.500 (68.143)
Epoch: [14][8010/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.4328 (2.5732)	Prec@1 37.000 (37.303)	Prec@5 70.000 (68.142)
Epoch: [14][8020/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5894 (2.5732)	Prec@1 35.500 (37.301)	Prec@5 67.500 (68.141)
Epoch: [14][8030/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6032 (2.5733)	Prec@1 33.000 (37.298)	Prec@5 65.500 (68.141)
Epoch: [14][8040/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6617 (2.5733)	Prec@1 30.500 (37.298)	Prec@5 68.000 (68.142)
Epoch: [14][8050/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6765 (2.5732)	Prec@1 39.500 (37.299)	Prec@5 65.000 (68.141)
Epoch: [14][8060/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.5249 (2.5733)	Prec@1 38.000 (37.298)	Prec@5 63.500 (68.141)
Epoch: [14][8070/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6606 (2.5733)	Prec@1 38.000 (37.297)	Prec@5 69.000 (68.141)
Epoch: [14][8080/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7903 (2.5732)	Prec@1 34.000 (37.298)	Prec@5 63.000 (68.142)
Epoch: [14][8090/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6448 (2.5732)	Prec@1 36.000 (37.300)	Prec@5 69.000 (68.142)
Epoch: [14][8100/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6467 (2.5732)	Prec@1 39.500 (37.300)	Prec@5 66.000 (68.142)
Epoch: [14][8110/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.4354 (2.5732)	Prec@1 37.500 (37.298)	Prec@5 71.500 (68.144)
Epoch: [14][8120/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5542 (2.5733)	Prec@1 38.000 (37.298)	Prec@5 71.000 (68.145)
Epoch: [14][8130/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6065 (2.5733)	Prec@1 40.500 (37.300)	Prec@5 65.500 (68.145)
Epoch: [14][8140/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5489 (2.5733)	Prec@1 37.500 (37.300)	Prec@5 70.000 (68.145)
Epoch: [14][8150/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7492 (2.5734)	Prec@1 33.000 (37.299)	Prec@5 63.500 (68.143)
Epoch: [14][8160/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4889 (2.5733)	Prec@1 37.000 (37.300)	Prec@5 67.500 (68.144)
Epoch: [14][8170/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6285 (2.5733)	Prec@1 34.500 (37.299)	Prec@5 68.000 (68.143)
Epoch: [14][8180/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8279 (2.5734)	Prec@1 34.500 (37.300)	Prec@5 65.500 (68.143)
Epoch: [14][8190/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7757 (2.5734)	Prec@1 33.500 (37.299)	Prec@5 63.000 (68.144)
Epoch: [14][8200/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5786 (2.5735)	Prec@1 35.000 (37.297)	Prec@5 71.500 (68.141)
Epoch: [14][8210/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6519 (2.5735)	Prec@1 32.000 (37.298)	Prec@5 71.500 (68.142)
Epoch: [14][8220/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7964 (2.5735)	Prec@1 35.000 (37.298)	Prec@5 62.500 (68.140)
Epoch: [14][8230/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4781 (2.5735)	Prec@1 41.000 (37.300)	Prec@5 70.500 (68.139)
Epoch: [14][8240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4970 (2.5735)	Prec@1 38.500 (37.298)	Prec@5 69.000 (68.138)
Epoch: [14][8250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6661 (2.5737)	Prec@1 39.000 (37.297)	Prec@5 63.500 (68.134)
Epoch: [14][8260/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4828 (2.5736)	Prec@1 37.000 (37.296)	Prec@5 70.500 (68.135)
Epoch: [14][8270/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6430 (2.5737)	Prec@1 35.500 (37.296)	Prec@5 66.500 (68.135)
Epoch: [14][8280/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6143 (2.5738)	Prec@1 37.500 (37.295)	Prec@5 63.000 (68.133)
Epoch: [14][8290/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5940 (2.5737)	Prec@1 34.000 (37.295)	Prec@5 65.000 (68.134)
Epoch: [14][8300/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5622 (2.5737)	Prec@1 39.500 (37.296)	Prec@5 67.500 (68.133)
Epoch: [14][8310/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.3303 (2.5737)	Prec@1 42.500 (37.297)	Prec@5 74.000 (68.135)
Epoch: [14][8320/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6470 (2.5736)	Prec@1 32.500 (37.298)	Prec@5 68.000 (68.136)
Epoch: [14][8330/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5796 (2.5737)	Prec@1 35.500 (37.297)	Prec@5 63.500 (68.132)
Epoch: [14][8340/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.7715 (2.5737)	Prec@1 37.500 (37.298)	Prec@5 69.000 (68.132)
Epoch: [14][8350/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5725 (2.5738)	Prec@1 38.500 (37.297)	Prec@5 67.000 (68.129)
Epoch: [14][8360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8009 (2.5738)	Prec@1 31.500 (37.295)	Prec@5 66.000 (68.129)
Epoch: [14][8370/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5666 (2.5738)	Prec@1 37.000 (37.296)	Prec@5 69.000 (68.129)
Epoch: [14][8380/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7065 (2.5739)	Prec@1 38.000 (37.296)	Prec@5 65.500 (68.127)
Epoch: [14][8390/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.6619 (2.5739)	Prec@1 38.000 (37.297)	Prec@5 62.000 (68.126)
Epoch: [14][8400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6364 (2.5739)	Prec@1 36.500 (37.296)	Prec@5 63.500 (68.126)
Epoch: [14][8410/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6429 (2.5738)	Prec@1 41.500 (37.298)	Prec@5 70.000 (68.127)
Epoch: [14][8420/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5553 (2.5738)	Prec@1 38.000 (37.299)	Prec@5 71.000 (68.128)
Epoch: [14][8430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4882 (2.5738)	Prec@1 38.500 (37.297)	Prec@5 69.000 (68.128)
Epoch: [14][8440/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7486 (2.5738)	Prec@1 36.500 (37.297)	Prec@5 64.000 (68.128)
Epoch: [14][8450/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5712 (2.5739)	Prec@1 38.000 (37.295)	Prec@5 67.500 (68.126)
Epoch: [14][8460/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6441 (2.5739)	Prec@1 36.500 (37.294)	Prec@5 71.500 (68.127)
Epoch: [14][8470/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3608 (2.5739)	Prec@1 41.500 (37.294)	Prec@5 69.000 (68.127)
Epoch: [14][8480/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3488 (2.5738)	Prec@1 39.500 (37.293)	Prec@5 74.000 (68.127)
Epoch: [14][8490/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5877 (2.5739)	Prec@1 35.000 (37.292)	Prec@5 71.500 (68.127)
Epoch: [14][8500/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3280 (2.5739)	Prec@1 46.500 (37.292)	Prec@5 71.000 (68.127)
Epoch: [14][8510/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.3939 (2.5738)	Prec@1 40.000 (37.292)	Prec@5 74.500 (68.129)
Epoch: [14][8520/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8078 (2.5739)	Prec@1 31.500 (37.289)	Prec@5 65.000 (68.129)
Epoch: [14][8530/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6249 (2.5739)	Prec@1 35.000 (37.289)	Prec@5 68.500 (68.131)
Epoch: [14][8540/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3527 (2.5738)	Prec@1 38.500 (37.289)	Prec@5 70.000 (68.131)
Epoch: [14][8550/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5970 (2.5739)	Prec@1 34.500 (37.288)	Prec@5 68.500 (68.132)
Epoch: [14][8560/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7905 (2.5738)	Prec@1 36.500 (37.288)	Prec@5 62.500 (68.133)
Epoch: [14][8570/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5692 (2.5739)	Prec@1 36.000 (37.287)	Prec@5 70.500 (68.132)
Epoch: [14][8580/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6088 (2.5739)	Prec@1 36.000 (37.286)	Prec@5 64.000 (68.131)
Epoch: [14][8590/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6331 (2.5739)	Prec@1 40.000 (37.285)	Prec@5 68.500 (68.130)
Epoch: [14][8600/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5039 (2.5739)	Prec@1 37.500 (37.285)	Prec@5 67.000 (68.131)
Epoch: [14][8610/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5577 (2.5739)	Prec@1 38.000 (37.282)	Prec@5 68.000 (68.130)
Epoch: [14][8620/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7854 (2.5740)	Prec@1 36.500 (37.281)	Prec@5 60.000 (68.130)
Epoch: [14][8630/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3283 (2.5739)	Prec@1 45.000 (37.283)	Prec@5 73.500 (68.130)
Epoch: [14][8640/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6959 (2.5739)	Prec@1 36.000 (37.286)	Prec@5 66.500 (68.129)
Epoch: [14][8650/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3829 (2.5738)	Prec@1 40.000 (37.287)	Prec@5 70.000 (68.131)
Epoch: [14][8660/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4232 (2.5738)	Prec@1 37.000 (37.287)	Prec@5 70.500 (68.130)
Epoch: [14][8670/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.3897 (2.5739)	Prec@1 40.000 (37.287)	Prec@5 72.500 (68.130)
Epoch: [14][8680/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5891 (2.5739)	Prec@1 39.500 (37.286)	Prec@5 67.000 (68.130)
Epoch: [14][8690/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5865 (2.5738)	Prec@1 32.500 (37.288)	Prec@5 68.500 (68.131)
Epoch: [14][8700/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6270 (2.5738)	Prec@1 37.000 (37.289)	Prec@5 70.000 (68.133)
Epoch: [14][8710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5122 (2.5738)	Prec@1 40.500 (37.290)	Prec@5 74.000 (68.132)
Epoch: [14][8720/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.4098 (2.5738)	Prec@1 41.500 (37.291)	Prec@5 68.000 (68.132)
Epoch: [14][8730/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.3205 (2.5738)	Prec@1 43.000 (37.291)	Prec@5 69.500 (68.133)
Epoch: [14][8740/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7416 (2.5738)	Prec@1 32.500 (37.291)	Prec@5 62.500 (68.132)
Epoch: [14][8750/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5096 (2.5738)	Prec@1 34.500 (37.290)	Prec@5 70.500 (68.132)
Epoch: [14][8760/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.9023 (2.5739)	Prec@1 30.000 (37.289)	Prec@5 57.500 (68.129)
Epoch: [14][8770/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5796 (2.5740)	Prec@1 36.000 (37.287)	Prec@5 66.000 (68.127)
Epoch: [14][8780/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6130 (2.5741)	Prec@1 37.000 (37.285)	Prec@5 68.000 (68.127)
Epoch: [14][8790/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4640 (2.5741)	Prec@1 43.500 (37.284)	Prec@5 72.000 (68.127)
Epoch: [14][8800/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6042 (2.5741)	Prec@1 34.000 (37.283)	Prec@5 65.500 (68.126)
Epoch: [14][8810/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6134 (2.5742)	Prec@1 39.500 (37.282)	Prec@5 69.500 (68.125)
Epoch: [14][8820/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4902 (2.5742)	Prec@1 36.500 (37.282)	Prec@5 70.500 (68.125)
Epoch: [14][8830/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4590 (2.5741)	Prec@1 40.000 (37.282)	Prec@5 70.000 (68.126)
Epoch: [14][8840/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7023 (2.5742)	Prec@1 35.000 (37.281)	Prec@5 66.000 (68.125)
Epoch: [14][8850/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6058 (2.5742)	Prec@1 34.500 (37.279)	Prec@5 67.500 (68.123)
Epoch: [14][8860/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6380 (2.5743)	Prec@1 41.500 (37.279)	Prec@5 73.000 (68.123)
Epoch: [14][8870/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.6376 (2.5743)	Prec@1 34.000 (37.279)	Prec@5 64.000 (68.124)
Epoch: [14][8880/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3926 (2.5742)	Prec@1 37.500 (37.282)	Prec@5 73.500 (68.125)
Epoch: [14][8890/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5968 (2.5741)	Prec@1 40.500 (37.284)	Prec@5 70.000 (68.126)
Epoch: [14][8900/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6539 (2.5741)	Prec@1 34.500 (37.284)	Prec@5 70.500 (68.126)
Epoch: [14][8910/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7568 (2.5741)	Prec@1 32.500 (37.283)	Prec@5 68.500 (68.128)
Epoch: [14][8920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8419 (2.5741)	Prec@1 33.500 (37.284)	Prec@5 63.500 (68.128)
Epoch: [14][8930/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7405 (2.5741)	Prec@1 30.500 (37.284)	Prec@5 64.500 (68.128)
Epoch: [14][8940/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5311 (2.5741)	Prec@1 40.000 (37.283)	Prec@5 68.500 (68.127)
Epoch: [14][8950/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6732 (2.5742)	Prec@1 34.000 (37.282)	Prec@5 68.000 (68.126)
Epoch: [14][8960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7396 (2.5742)	Prec@1 35.000 (37.280)	Prec@5 64.500 (68.125)
Epoch: [14][8970/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4516 (2.5743)	Prec@1 37.000 (37.280)	Prec@5 73.000 (68.124)
Epoch: [14][8980/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4899 (2.5743)	Prec@1 41.500 (37.279)	Prec@5 67.500 (68.123)
Epoch: [14][8990/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6278 (2.5742)	Prec@1 38.000 (37.280)	Prec@5 70.000 (68.124)
Epoch: [14][9000/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.5755 (2.5742)	Prec@1 42.500 (37.280)	Prec@5 69.000 (68.124)
Epoch: [14][9010/9018]	Time 0.624 (0.615)	Data 0.000 (0.001)	Loss 2.6246 (2.5741)	Prec@1 37.000 (37.280)	Prec@5 62.500 (68.127)
Test: [0/183]	Time 1.243 (1.243)	Loss 2.8636 (2.8636)	Prec@1 24.500 (24.500)	Prec@5 65.000 (65.000)
Test: [10/183]	Time 0.186 (0.293)	Loss 2.1845 (2.2622)	Prec@1 46.500 (40.591)	Prec@5 78.000 (76.091)
Test: [20/183]	Time 0.188 (0.248)	Loss 2.8996 (2.2778)	Prec@1 28.500 (40.548)	Prec@5 66.000 (75.548)
Test: [30/183]	Time 0.194 (0.229)	Loss 2.8439 (2.2421)	Prec@1 20.000 (41.548)	Prec@5 66.000 (76.177)
Test: [40/183]	Time 0.203 (0.223)	Loss 2.8421 (2.2206)	Prec@1 31.000 (42.732)	Prec@5 68.000 (75.707)
Test: [50/183]	Time 0.202 (0.217)	Loss 1.9383 (2.1923)	Prec@1 51.000 (43.814)	Prec@5 82.000 (75.902)
Test: [60/183]	Time 0.181 (0.212)	Loss 2.8932 (2.2623)	Prec@1 24.000 (42.000)	Prec@5 67.500 (74.672)
Test: [70/183]	Time 0.184 (0.209)	Loss 1.9088 (2.2459)	Prec@1 48.000 (42.380)	Prec@5 82.500 (75.021)
Test: [80/183]	Time 0.204 (0.207)	Loss 1.9530 (2.2446)	Prec@1 44.500 (42.580)	Prec@5 83.500 (74.981)
Test: [90/183]	Time 0.190 (0.206)	Loss 3.0097 (2.2384)	Prec@1 26.500 (42.665)	Prec@5 60.500 (75.093)
Test: [100/183]	Time 0.191 (0.205)	Loss 1.6491 (2.2411)	Prec@1 55.000 (42.634)	Prec@5 89.500 (75.252)
Test: [110/183]	Time 0.188 (0.203)	Loss 1.1387 (2.2334)	Prec@1 73.500 (42.896)	Prec@5 91.000 (75.306)
Test: [120/183]	Time 0.202 (0.203)	Loss 3.1149 (2.2409)	Prec@1 19.000 (42.566)	Prec@5 55.000 (75.107)
Test: [130/183]	Time 0.192 (0.202)	Loss 3.3637 (2.2513)	Prec@1 14.000 (42.134)	Prec@5 58.000 (74.996)
Test: [140/183]	Time 0.191 (0.202)	Loss 1.9186 (2.2332)	Prec@1 52.000 (42.681)	Prec@5 77.000 (75.340)
Test: [150/183]	Time 0.206 (0.201)	Loss 1.2486 (2.2224)	Prec@1 67.000 (42.964)	Prec@5 92.000 (75.550)
Test: [160/183]	Time 0.205 (0.201)	Loss 2.4686 (2.2261)	Prec@1 43.000 (42.991)	Prec@5 61.000 (75.394)
Test: [170/183]	Time 0.185 (0.200)	Loss 2.9895 (2.2421)	Prec@1 25.000 (42.646)	Prec@5 63.000 (75.003)
Test: [180/183]	Time 0.194 (0.200)	Loss 2.4762 (2.2550)	Prec@1 35.000 (42.423)	Prec@5 71.000 (74.715)
 * Prec@1 42.348 Prec@5 74.663
Epoch: [15][0/9018]	Time 2.988 (2.988)	Data 2.375 (2.375)	Loss 2.5331 (2.5331)	Prec@1 34.000 (34.000)	Prec@5 66.000 (66.000)
Epoch: [15][10/9018]	Time 0.600 (0.811)	Data 0.001 (0.217)	Loss 2.6799 (2.5608)	Prec@1 36.000 (38.227)	Prec@5 62.000 (67.955)
Epoch: [15][20/9018]	Time 0.599 (0.768)	Data 0.001 (0.114)	Loss 2.5472 (2.5686)	Prec@1 36.000 (37.857)	Prec@5 71.500 (67.833)
Epoch: [15][30/9018]	Time 0.595 (0.712)	Data 0.001 (0.077)	Loss 2.5235 (2.5487)	Prec@1 35.000 (37.839)	Prec@5 70.500 (68.403)
Epoch: [15][40/9018]	Time 0.627 (0.690)	Data 0.001 (0.059)	Loss 2.4093 (2.5444)	Prec@1 36.000 (37.829)	Prec@5 75.500 (68.549)
Epoch: [15][50/9018]	Time 0.596 (0.676)	Data 0.001 (0.047)	Loss 2.4722 (2.5457)	Prec@1 45.000 (38.275)	Prec@5 69.500 (68.343)
Epoch: [15][60/9018]	Time 0.602 (0.664)	Data 0.001 (0.040)	Loss 2.5211 (2.5366)	Prec@1 36.000 (38.459)	Prec@5 69.000 (68.664)
Epoch: [15][70/9018]	Time 0.600 (0.659)	Data 0.001 (0.034)	Loss 2.4304 (2.5256)	Prec@1 38.000 (38.289)	Prec@5 72.500 (69.049)
Epoch: [15][80/9018]	Time 0.785 (0.654)	Data 0.001 (0.030)	Loss 2.5830 (2.5400)	Prec@1 39.000 (37.883)	Prec@5 68.000 (68.840)
Epoch: [15][90/9018]	Time 0.601 (0.649)	Data 0.001 (0.027)	Loss 2.4432 (2.5329)	Prec@1 36.000 (37.923)	Prec@5 72.000 (69.016)
Epoch: [15][100/9018]	Time 0.624 (0.647)	Data 0.001 (0.024)	Loss 2.6274 (2.5330)	Prec@1 33.500 (37.990)	Prec@5 65.000 (69.010)
Epoch: [15][110/9018]	Time 0.606 (0.644)	Data 0.001 (0.022)	Loss 2.4866 (2.5337)	Prec@1 39.500 (38.036)	Prec@5 70.000 (69.090)
Epoch: [15][120/9018]	Time 0.593 (0.643)	Data 0.001 (0.020)	Loss 2.5592 (2.5290)	Prec@1 40.000 (38.120)	Prec@5 66.000 (69.202)
Epoch: [15][130/9018]	Time 0.736 (0.641)	Data 0.001 (0.019)	Loss 2.6962 (2.5330)	Prec@1 33.000 (38.111)	Prec@5 62.000 (69.031)
Epoch: [15][140/9018]	Time 0.614 (0.639)	Data 0.001 (0.018)	Loss 2.6493 (2.5405)	Prec@1 35.500 (37.915)	Prec@5 70.000 (68.950)
Epoch: [15][150/9018]	Time 0.592 (0.638)	Data 0.001 (0.016)	Loss 2.4996 (2.5422)	Prec@1 41.500 (37.957)	Prec@5 68.000 (68.874)
Epoch: [15][160/9018]	Time 0.593 (0.636)	Data 0.001 (0.016)	Loss 2.6307 (2.5440)	Prec@1 31.000 (37.857)	Prec@5 65.000 (68.817)
Epoch: [15][170/9018]	Time 0.594 (0.635)	Data 0.001 (0.015)	Loss 2.5458 (2.5431)	Prec@1 39.500 (37.842)	Prec@5 70.000 (68.801)
Epoch: [15][180/9018]	Time 0.622 (0.634)	Data 0.001 (0.014)	Loss 2.4149 (2.5421)	Prec@1 42.500 (37.912)	Prec@5 74.000 (68.804)
Epoch: [15][190/9018]	Time 0.592 (0.633)	Data 0.001 (0.013)	Loss 2.6057 (2.5430)	Prec@1 37.500 (37.924)	Prec@5 64.000 (68.709)
Epoch: [15][200/9018]	Time 0.591 (0.632)	Data 0.001 (0.013)	Loss 2.5497 (2.5397)	Prec@1 36.000 (38.015)	Prec@5 69.000 (68.764)
Epoch: [15][210/9018]	Time 0.603 (0.631)	Data 0.001 (0.012)	Loss 2.7113 (2.5436)	Prec@1 34.500 (37.976)	Prec@5 65.500 (68.637)
Epoch: [15][220/9018]	Time 0.631 (0.631)	Data 0.001 (0.012)	Loss 2.4039 (2.5402)	Prec@1 41.000 (38.027)	Prec@5 73.000 (68.695)
Epoch: [15][230/9018]	Time 0.620 (0.631)	Data 0.001 (0.011)	Loss 2.6012 (2.5419)	Prec@1 35.000 (37.983)	Prec@5 65.000 (68.682)
Epoch: [15][240/9018]	Time 0.599 (0.630)	Data 0.001 (0.011)	Loss 2.4404 (2.5413)	Prec@1 38.500 (38.027)	Prec@5 69.000 (68.662)
Epoch: [15][250/9018]	Time 0.609 (0.631)	Data 0.001 (0.010)	Loss 2.5907 (2.5387)	Prec@1 38.000 (38.100)	Prec@5 66.500 (68.699)
Epoch: [15][260/9018]	Time 0.620 (0.630)	Data 0.001 (0.010)	Loss 2.5491 (2.5377)	Prec@1 33.500 (38.092)	Prec@5 68.500 (68.699)
Epoch: [15][270/9018]	Time 0.624 (0.630)	Data 0.001 (0.010)	Loss 2.6768 (2.5390)	Prec@1 36.000 (38.116)	Prec@5 64.000 (68.666)
Epoch: [15][280/9018]	Time 0.601 (0.629)	Data 0.001 (0.009)	Loss 2.7099 (2.5395)	Prec@1 35.500 (38.078)	Prec@5 65.000 (68.674)
Epoch: [15][290/9018]	Time 0.608 (0.629)	Data 0.001 (0.009)	Loss 2.6787 (2.5419)	Prec@1 34.500 (38.019)	Prec@5 71.000 (68.629)
Epoch: [15][300/9018]	Time 0.624 (0.628)	Data 0.001 (0.009)	Loss 2.3880 (2.5434)	Prec@1 40.500 (37.988)	Prec@5 68.500 (68.593)
Epoch: [15][310/9018]	Time 0.599 (0.628)	Data 0.001 (0.008)	Loss 2.7893 (2.5457)	Prec@1 34.500 (37.941)	Prec@5 67.000 (68.563)
Epoch: [15][320/9018]	Time 0.595 (0.627)	Data 0.001 (0.008)	Loss 2.5075 (2.5442)	Prec@1 39.000 (37.981)	Prec@5 71.500 (68.598)
Epoch: [15][330/9018]	Time 0.599 (0.627)	Data 0.001 (0.008)	Loss 2.6843 (2.5432)	Prec@1 31.500 (37.977)	Prec@5 66.000 (68.618)
Epoch: [15][340/9018]	Time 0.603 (0.626)	Data 0.001 (0.008)	Loss 2.6617 (2.5429)	Prec@1 40.000 (37.972)	Prec@5 66.000 (68.636)
Epoch: [15][350/9018]	Time 0.612 (0.626)	Data 0.001 (0.008)	Loss 2.5415 (2.5435)	Prec@1 37.000 (37.980)	Prec@5 67.000 (68.624)
Epoch: [15][360/9018]	Time 0.607 (0.626)	Data 0.001 (0.007)	Loss 2.7251 (2.5430)	Prec@1 36.500 (37.967)	Prec@5 64.000 (68.629)
Epoch: [15][370/9018]	Time 0.616 (0.626)	Data 0.001 (0.007)	Loss 2.4607 (2.5437)	Prec@1 39.000 (37.929)	Prec@5 70.000 (68.624)
Epoch: [15][380/9018]	Time 0.601 (0.626)	Data 0.001 (0.007)	Loss 2.6864 (2.5438)	Prec@1 35.500 (37.945)	Prec@5 69.000 (68.639)
Epoch: [15][390/9018]	Time 0.627 (0.625)	Data 0.001 (0.007)	Loss 2.8203 (2.5467)	Prec@1 35.000 (37.877)	Prec@5 66.500 (68.590)
Epoch: [15][400/9018]	Time 0.601 (0.625)	Data 0.001 (0.007)	Loss 2.6990 (2.5480)	Prec@1 37.000 (37.873)	Prec@5 64.500 (68.547)
Epoch: [15][410/9018]	Time 0.792 (0.625)	Data 0.001 (0.007)	Loss 2.3503 (2.5485)	Prec@1 37.000 (37.835)	Prec@5 70.000 (68.518)
Epoch: [15][420/9018]	Time 0.649 (0.625)	Data 0.001 (0.006)	Loss 2.5059 (2.5482)	Prec@1 37.500 (37.850)	Prec@5 69.500 (68.538)
Epoch: [15][430/9018]	Time 0.597 (0.625)	Data 0.001 (0.006)	Loss 2.3604 (2.5480)	Prec@1 38.000 (37.857)	Prec@5 67.500 (68.521)
Epoch: [15][440/9018]	Time 0.629 (0.625)	Data 0.001 (0.006)	Loss 2.3866 (2.5472)	Prec@1 41.500 (37.863)	Prec@5 70.500 (68.514)
Epoch: [15][450/9018]	Time 0.598 (0.624)	Data 0.001 (0.006)	Loss 2.5846 (2.5474)	Prec@1 39.000 (37.834)	Prec@5 67.000 (68.498)
Epoch: [15][460/9018]	Time 0.726 (0.624)	Data 0.001 (0.006)	Loss 2.8181 (2.5505)	Prec@1 31.500 (37.779)	Prec@5 62.500 (68.432)
Epoch: [15][470/9018]	Time 0.608 (0.624)	Data 0.001 (0.006)	Loss 2.6496 (2.5507)	Prec@1 37.000 (37.753)	Prec@5 67.000 (68.420)
Epoch: [15][480/9018]	Time 0.596 (0.624)	Data 0.001 (0.006)	Loss 2.6524 (2.5506)	Prec@1 34.000 (37.745)	Prec@5 67.000 (68.415)
Epoch: [15][490/9018]	Time 0.598 (0.624)	Data 0.001 (0.006)	Loss 2.4209 (2.5504)	Prec@1 40.500 (37.734)	Prec@5 72.500 (68.425)
Epoch: [15][500/9018]	Time 0.601 (0.624)	Data 0.001 (0.006)	Loss 2.3992 (2.5505)	Prec@1 40.000 (37.730)	Prec@5 71.500 (68.418)
Epoch: [15][510/9018]	Time 0.603 (0.623)	Data 0.001 (0.005)	Loss 2.4435 (2.5513)	Prec@1 42.000 (37.718)	Prec@5 70.000 (68.398)
Epoch: [15][520/9018]	Time 0.608 (0.623)	Data 0.001 (0.005)	Loss 2.8483 (2.5504)	Prec@1 31.000 (37.721)	Prec@5 63.500 (68.410)
Epoch: [15][530/9018]	Time 0.597 (0.623)	Data 0.001 (0.005)	Loss 2.5900 (2.5499)	Prec@1 38.500 (37.733)	Prec@5 65.500 (68.423)
Epoch: [15][540/9018]	Time 0.590 (0.623)	Data 0.001 (0.005)	Loss 2.4705 (2.5499)	Prec@1 40.000 (37.745)	Prec@5 72.500 (68.433)
Epoch: [15][550/9018]	Time 0.611 (0.623)	Data 0.001 (0.005)	Loss 2.5561 (2.5497)	Prec@1 36.500 (37.735)	Prec@5 64.000 (68.436)
Epoch: [15][560/9018]	Time 0.610 (0.623)	Data 0.001 (0.005)	Loss 2.4307 (2.5481)	Prec@1 35.500 (37.750)	Prec@5 71.000 (68.481)
Epoch: [15][570/9018]	Time 0.637 (0.622)	Data 0.001 (0.005)	Loss 2.3466 (2.5473)	Prec@1 41.000 (37.757)	Prec@5 72.000 (68.504)
Epoch: [15][580/9018]	Time 0.597 (0.622)	Data 0.001 (0.005)	Loss 2.5800 (2.5489)	Prec@1 38.000 (37.748)	Prec@5 67.500 (68.463)
Epoch: [15][590/9018]	Time 0.643 (0.622)	Data 0.001 (0.005)	Loss 2.6773 (2.5494)	Prec@1 30.500 (37.730)	Prec@5 67.000 (68.454)
Epoch: [15][600/9018]	Time 0.603 (0.622)	Data 0.001 (0.005)	Loss 2.4027 (2.5491)	Prec@1 43.500 (37.741)	Prec@5 72.000 (68.483)
Epoch: [15][610/9018]	Time 0.627 (0.622)	Data 0.001 (0.005)	Loss 2.7586 (2.5501)	Prec@1 29.500 (37.691)	Prec@5 64.500 (68.467)
Epoch: [15][620/9018]	Time 0.605 (0.622)	Data 0.001 (0.005)	Loss 2.7750 (2.5499)	Prec@1 36.000 (37.696)	Prec@5 62.000 (68.480)
Epoch: [15][630/9018]	Time 0.600 (0.622)	Data 0.001 (0.005)	Loss 2.6045 (2.5510)	Prec@1 40.500 (37.680)	Prec@5 67.000 (68.448)
Epoch: [15][640/9018]	Time 0.602 (0.622)	Data 0.001 (0.004)	Loss 2.4980 (2.5504)	Prec@1 39.500 (37.693)	Prec@5 67.500 (68.446)
Epoch: [15][650/9018]	Time 0.622 (0.621)	Data 0.001 (0.004)	Loss 2.4634 (2.5517)	Prec@1 36.500 (37.658)	Prec@5 68.500 (68.437)
Epoch: [15][660/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 2.5332 (2.5513)	Prec@1 38.500 (37.665)	Prec@5 67.000 (68.444)
Epoch: [15][670/9018]	Time 0.622 (0.621)	Data 0.001 (0.004)	Loss 2.4950 (2.5517)	Prec@1 38.500 (37.647)	Prec@5 70.000 (68.447)
Epoch: [15][680/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 2.6714 (2.5525)	Prec@1 33.500 (37.642)	Prec@5 67.000 (68.428)
Epoch: [15][690/9018]	Time 0.615 (0.621)	Data 0.001 (0.004)	Loss 2.6382 (2.5536)	Prec@1 38.000 (37.641)	Prec@5 69.000 (68.408)
Epoch: [15][700/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 2.8496 (2.5532)	Prec@1 32.500 (37.629)	Prec@5 62.000 (68.422)
Epoch: [15][710/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 2.5509 (2.5531)	Prec@1 37.000 (37.622)	Prec@5 68.500 (68.416)
Epoch: [15][720/9018]	Time 0.602 (0.621)	Data 0.001 (0.004)	Loss 2.4011 (2.5533)	Prec@1 40.000 (37.601)	Prec@5 72.000 (68.403)
Epoch: [15][730/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 2.6023 (2.5536)	Prec@1 38.500 (37.596)	Prec@5 69.000 (68.385)
Epoch: [15][740/9018]	Time 0.744 (0.621)	Data 0.001 (0.004)	Loss 2.2421 (2.5535)	Prec@1 45.500 (37.619)	Prec@5 74.500 (68.377)
Epoch: [15][750/9018]	Time 0.617 (0.620)	Data 0.001 (0.004)	Loss 2.7099 (2.5529)	Prec@1 31.000 (37.611)	Prec@5 66.500 (68.407)
Epoch: [15][760/9018]	Time 0.618 (0.621)	Data 0.001 (0.004)	Loss 2.5430 (2.5528)	Prec@1 35.500 (37.611)	Prec@5 69.000 (68.411)
Epoch: [15][770/9018]	Time 0.603 (0.620)	Data 0.001 (0.004)	Loss 2.6598 (2.5524)	Prec@1 35.000 (37.630)	Prec@5 65.000 (68.418)
Epoch: [15][780/9018]	Time 0.596 (0.620)	Data 0.001 (0.004)	Loss 2.5750 (2.5521)	Prec@1 38.500 (37.644)	Prec@5 69.000 (68.418)
Epoch: [15][790/9018]	Time 0.740 (0.620)	Data 0.001 (0.004)	Loss 2.3767 (2.5515)	Prec@1 42.500 (37.647)	Prec@5 76.000 (68.437)
Epoch: [15][800/9018]	Time 0.594 (0.620)	Data 0.001 (0.004)	Loss 2.7755 (2.5512)	Prec@1 32.000 (37.655)	Prec@5 62.000 (68.430)
Epoch: [15][810/9018]	Time 0.606 (0.620)	Data 0.001 (0.004)	Loss 2.6369 (2.5518)	Prec@1 31.000 (37.649)	Prec@5 69.000 (68.427)
Epoch: [15][820/9018]	Time 0.596 (0.620)	Data 0.001 (0.004)	Loss 2.6316 (2.5517)	Prec@1 31.000 (37.642)	Prec@5 68.000 (68.448)
Epoch: [15][830/9018]	Time 0.596 (0.620)	Data 0.001 (0.004)	Loss 2.4849 (2.5515)	Prec@1 38.000 (37.650)	Prec@5 70.500 (68.458)
Epoch: [15][840/9018]	Time 0.608 (0.620)	Data 0.001 (0.004)	Loss 2.7164 (2.5524)	Prec@1 31.500 (37.631)	Prec@5 69.000 (68.449)
Epoch: [15][850/9018]	Time 0.611 (0.620)	Data 0.001 (0.004)	Loss 2.5558 (2.5530)	Prec@1 37.000 (37.599)	Prec@5 66.500 (68.438)
Epoch: [15][860/9018]	Time 0.595 (0.620)	Data 0.001 (0.004)	Loss 2.4289 (2.5527)	Prec@1 40.000 (37.615)	Prec@5 72.500 (68.452)
Epoch: [15][870/9018]	Time 0.614 (0.620)	Data 0.001 (0.003)	Loss 2.5699 (2.5528)	Prec@1 36.000 (37.608)	Prec@5 66.500 (68.446)
Epoch: [15][880/9018]	Time 0.632 (0.620)	Data 0.001 (0.003)	Loss 2.5182 (2.5526)	Prec@1 40.500 (37.606)	Prec@5 67.500 (68.451)
Epoch: [15][890/9018]	Time 0.605 (0.620)	Data 0.001 (0.003)	Loss 2.5993 (2.5530)	Prec@1 39.500 (37.596)	Prec@5 70.000 (68.449)
Epoch: [15][900/9018]	Time 0.645 (0.619)	Data 0.001 (0.003)	Loss 2.6819 (2.5525)	Prec@1 34.000 (37.601)	Prec@5 63.500 (68.452)
Epoch: [15][910/9018]	Time 0.591 (0.619)	Data 0.001 (0.003)	Loss 2.5525 (2.5531)	Prec@1 39.500 (37.587)	Prec@5 67.500 (68.442)
Epoch: [15][920/9018]	Time 0.636 (0.619)	Data 0.001 (0.003)	Loss 2.5132 (2.5528)	Prec@1 35.500 (37.587)	Prec@5 68.500 (68.444)
Epoch: [15][930/9018]	Time 0.618 (0.619)	Data 0.001 (0.003)	Loss 2.5402 (2.5533)	Prec@1 38.000 (37.575)	Prec@5 71.000 (68.438)
Epoch: [15][940/9018]	Time 0.600 (0.619)	Data 0.001 (0.003)	Loss 2.5806 (2.5538)	Prec@1 40.000 (37.571)	Prec@5 64.500 (68.427)
Epoch: [15][950/9018]	Time 0.629 (0.619)	Data 0.001 (0.003)	Loss 2.5294 (2.5537)	Prec@1 36.500 (37.562)	Prec@5 67.500 (68.429)
Epoch: [15][960/9018]	Time 0.626 (0.619)	Data 0.001 (0.003)	Loss 2.2998 (2.5539)	Prec@1 45.000 (37.553)	Prec@5 73.000 (68.424)
Epoch: [15][970/9018]	Time 0.589 (0.619)	Data 0.001 (0.003)	Loss 2.5649 (2.5539)	Prec@1 38.500 (37.551)	Prec@5 68.500 (68.427)
Epoch: [15][980/9018]	Time 0.596 (0.619)	Data 0.001 (0.003)	Loss 2.8959 (2.5534)	Prec@1 28.500 (37.550)	Prec@5 63.500 (68.450)
Epoch: [15][990/9018]	Time 0.592 (0.619)	Data 0.001 (0.003)	Loss 2.5721 (2.5526)	Prec@1 35.500 (37.564)	Prec@5 67.500 (68.464)
Epoch: [15][1000/9018]	Time 0.607 (0.619)	Data 0.001 (0.003)	Loss 2.6182 (2.5533)	Prec@1 36.500 (37.551)	Prec@5 69.000 (68.445)
Epoch: [15][1010/9018]	Time 0.605 (0.619)	Data 0.001 (0.003)	Loss 2.5295 (2.5531)	Prec@1 40.500 (37.555)	Prec@5 67.500 (68.449)
Epoch: [15][1020/9018]	Time 0.626 (0.619)	Data 0.001 (0.003)	Loss 2.7893 (2.5532)	Prec@1 32.000 (37.560)	Prec@5 64.000 (68.444)
Epoch: [15][1030/9018]	Time 0.621 (0.619)	Data 0.001 (0.003)	Loss 2.5862 (2.5529)	Prec@1 37.000 (37.564)	Prec@5 70.500 (68.447)
Epoch: [15][1040/9018]	Time 0.632 (0.619)	Data 0.001 (0.003)	Loss 2.4686 (2.5525)	Prec@1 37.500 (37.575)	Prec@5 68.000 (68.461)
Epoch: [15][1050/9018]	Time 0.601 (0.619)	Data 0.001 (0.003)	Loss 2.5133 (2.5527)	Prec@1 38.500 (37.566)	Prec@5 67.500 (68.456)
Epoch: [15][1060/9018]	Time 0.605 (0.619)	Data 0.001 (0.003)	Loss 2.4799 (2.5533)	Prec@1 38.500 (37.553)	Prec@5 69.000 (68.443)
Epoch: [15][1070/9018]	Time 0.727 (0.619)	Data 0.001 (0.003)	Loss 2.5892 (2.5535)	Prec@1 34.000 (37.554)	Prec@5 65.500 (68.445)
Epoch: [15][1080/9018]	Time 0.598 (0.619)	Data 0.001 (0.003)	Loss 2.3284 (2.5536)	Prec@1 41.000 (37.552)	Prec@5 73.000 (68.444)
Epoch: [15][1090/9018]	Time 0.598 (0.619)	Data 0.001 (0.003)	Loss 2.5780 (2.5542)	Prec@1 36.500 (37.535)	Prec@5 68.000 (68.428)
Epoch: [15][1100/9018]	Time 0.606 (0.619)	Data 0.001 (0.003)	Loss 2.7452 (2.5539)	Prec@1 36.500 (37.533)	Prec@5 65.000 (68.428)
Epoch: [15][1110/9018]	Time 0.598 (0.619)	Data 0.001 (0.003)	Loss 2.3306 (2.5533)	Prec@1 46.000 (37.552)	Prec@5 71.000 (68.441)
Epoch: [15][1120/9018]	Time 0.733 (0.619)	Data 0.001 (0.003)	Loss 2.6741 (2.5532)	Prec@1 36.500 (37.551)	Prec@5 63.000 (68.442)
Epoch: [15][1130/9018]	Time 0.609 (0.619)	Data 0.001 (0.003)	Loss 2.4753 (2.5526)	Prec@1 39.500 (37.562)	Prec@5 71.500 (68.460)
Epoch: [15][1140/9018]	Time 0.609 (0.619)	Data 0.001 (0.003)	Loss 2.3686 (2.5526)	Prec@1 40.500 (37.557)	Prec@5 72.000 (68.444)
Epoch: [15][1150/9018]	Time 0.613 (0.619)	Data 0.001 (0.003)	Loss 2.3471 (2.5527)	Prec@1 40.000 (37.552)	Prec@5 72.000 (68.440)
Epoch: [15][1160/9018]	Time 0.631 (0.619)	Data 0.001 (0.003)	Loss 2.3900 (2.5525)	Prec@1 41.500 (37.556)	Prec@5 72.500 (68.447)
Epoch: [15][1170/9018]	Time 0.602 (0.619)	Data 0.001 (0.003)	Loss 2.5250 (2.5532)	Prec@1 40.500 (37.549)	Prec@5 66.500 (68.430)
Epoch: [15][1180/9018]	Time 0.604 (0.619)	Data 0.001 (0.003)	Loss 2.4325 (2.5539)	Prec@1 43.500 (37.548)	Prec@5 73.500 (68.414)
Epoch: [15][1190/9018]	Time 0.611 (0.619)	Data 0.001 (0.003)	Loss 2.6614 (2.5542)	Prec@1 33.500 (37.539)	Prec@5 65.000 (68.405)
Epoch: [15][1200/9018]	Time 0.641 (0.619)	Data 0.001 (0.003)	Loss 2.5501 (2.5542)	Prec@1 42.000 (37.549)	Prec@5 71.500 (68.398)
Epoch: [15][1210/9018]	Time 0.600 (0.619)	Data 0.001 (0.003)	Loss 2.5775 (2.5549)	Prec@1 36.000 (37.535)	Prec@5 67.000 (68.386)
Epoch: [15][1220/9018]	Time 0.605 (0.619)	Data 0.001 (0.003)	Loss 2.4955 (2.5552)	Prec@1 36.500 (37.532)	Prec@5 71.000 (68.385)
Epoch: [15][1230/9018]	Time 0.607 (0.619)	Data 0.001 (0.003)	Loss 2.7807 (2.5553)	Prec@1 33.500 (37.528)	Prec@5 65.500 (68.387)
Epoch: [15][1240/9018]	Time 0.614 (0.619)	Data 0.001 (0.003)	Loss 2.6522 (2.5552)	Prec@1 33.000 (37.533)	Prec@5 65.500 (68.385)
Epoch: [15][1250/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 2.6404 (2.5552)	Prec@1 36.000 (37.524)	Prec@5 68.500 (68.390)
Epoch: [15][1260/9018]	Time 0.619 (0.619)	Data 0.001 (0.003)	Loss 2.5052 (2.5552)	Prec@1 40.000 (37.526)	Prec@5 73.000 (68.396)
Epoch: [15][1270/9018]	Time 0.621 (0.619)	Data 0.001 (0.003)	Loss 2.5408 (2.5552)	Prec@1 40.500 (37.521)	Prec@5 70.000 (68.402)
Epoch: [15][1280/9018]	Time 0.634 (0.619)	Data 0.001 (0.003)	Loss 2.4154 (2.5550)	Prec@1 43.000 (37.527)	Prec@5 72.000 (68.400)
Epoch: [15][1290/9018]	Time 0.602 (0.619)	Data 0.001 (0.003)	Loss 2.5397 (2.5548)	Prec@1 38.000 (37.530)	Prec@5 70.500 (68.399)
Epoch: [15][1300/9018]	Time 0.603 (0.619)	Data 0.001 (0.003)	Loss 2.6114 (2.5546)	Prec@1 39.500 (37.538)	Prec@5 69.000 (68.402)
Epoch: [15][1310/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 2.6555 (2.5543)	Prec@1 36.000 (37.540)	Prec@5 68.500 (68.413)
Epoch: [15][1320/9018]	Time 0.592 (0.619)	Data 0.001 (0.003)	Loss 2.4961 (2.5537)	Prec@1 37.000 (37.557)	Prec@5 70.000 (68.422)
Epoch: [15][1330/9018]	Time 0.591 (0.618)	Data 0.001 (0.003)	Loss 2.6500 (2.5543)	Prec@1 36.000 (37.541)	Prec@5 65.000 (68.406)
Epoch: [15][1340/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 2.7414 (2.5542)	Prec@1 31.500 (37.540)	Prec@5 65.000 (68.412)
Epoch: [15][1350/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 2.6213 (2.5544)	Prec@1 36.000 (37.531)	Prec@5 69.000 (68.415)
Epoch: [15][1360/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 2.6454 (2.5542)	Prec@1 40.000 (37.535)	Prec@5 65.500 (68.422)
Epoch: [15][1370/9018]	Time 0.609 (0.618)	Data 0.001 (0.003)	Loss 2.7367 (2.5544)	Prec@1 32.500 (37.529)	Prec@5 66.000 (68.422)
Epoch: [15][1380/9018]	Time 0.629 (0.618)	Data 0.001 (0.002)	Loss 2.5395 (2.5541)	Prec@1 39.000 (37.540)	Prec@5 69.500 (68.421)
Epoch: [15][1390/9018]	Time 0.591 (0.618)	Data 0.001 (0.002)	Loss 2.4046 (2.5538)	Prec@1 39.500 (37.550)	Prec@5 69.500 (68.434)
Epoch: [15][1400/9018]	Time 0.736 (0.618)	Data 0.001 (0.002)	Loss 2.4313 (2.5536)	Prec@1 39.500 (37.551)	Prec@5 73.000 (68.444)
Epoch: [15][1410/9018]	Time 0.638 (0.618)	Data 0.001 (0.002)	Loss 2.5685 (2.5543)	Prec@1 38.000 (37.540)	Prec@5 66.500 (68.433)
Epoch: [15][1420/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 2.7870 (2.5546)	Prec@1 33.500 (37.542)	Prec@5 64.500 (68.431)
Epoch: [15][1430/9018]	Time 0.604 (0.618)	Data 0.001 (0.002)	Loss 2.4907 (2.5550)	Prec@1 35.500 (37.531)	Prec@5 69.500 (68.433)
Epoch: [15][1440/9018]	Time 0.628 (0.618)	Data 0.001 (0.002)	Loss 2.6224 (2.5550)	Prec@1 34.000 (37.531)	Prec@5 64.500 (68.433)
Epoch: [15][1450/9018]	Time 0.761 (0.618)	Data 0.001 (0.002)	Loss 2.5925 (2.5547)	Prec@1 35.500 (37.528)	Prec@5 70.000 (68.439)
Epoch: [15][1460/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 2.5324 (2.5546)	Prec@1 35.500 (37.520)	Prec@5 69.500 (68.440)
Epoch: [15][1470/9018]	Time 0.621 (0.618)	Data 0.001 (0.002)	Loss 2.3939 (2.5541)	Prec@1 40.500 (37.517)	Prec@5 72.000 (68.445)
Epoch: [15][1480/9018]	Time 0.605 (0.618)	Data 0.001 (0.002)	Loss 2.4647 (2.5539)	Prec@1 43.000 (37.528)	Prec@5 76.500 (68.453)
Epoch: [15][1490/9018]	Time 0.595 (0.618)	Data 0.001 (0.002)	Loss 2.5881 (2.5541)	Prec@1 37.000 (37.525)	Prec@5 64.500 (68.451)
Epoch: [15][1500/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 2.5264 (2.5544)	Prec@1 38.500 (37.514)	Prec@5 72.500 (68.447)
Epoch: [15][1510/9018]	Time 0.604 (0.618)	Data 0.001 (0.002)	Loss 2.6479 (2.5546)	Prec@1 36.500 (37.511)	Prec@5 64.500 (68.443)
Epoch: [15][1520/9018]	Time 0.614 (0.618)	Data 0.001 (0.002)	Loss 2.5923 (2.5552)	Prec@1 37.500 (37.502)	Prec@5 69.000 (68.431)
Epoch: [15][1530/9018]	Time 0.604 (0.618)	Data 0.001 (0.002)	Loss 2.5970 (2.5552)	Prec@1 39.000 (37.503)	Prec@5 69.500 (68.430)
Epoch: [15][1540/9018]	Time 0.611 (0.618)	Data 0.001 (0.002)	Loss 2.6283 (2.5552)	Prec@1 34.000 (37.506)	Prec@5 65.000 (68.427)
Epoch: [15][1550/9018]	Time 0.596 (0.618)	Data 0.001 (0.002)	Loss 2.6485 (2.5560)	Prec@1 36.000 (37.493)	Prec@5 67.000 (68.419)
Epoch: [15][1560/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 2.7520 (2.5561)	Prec@1 36.000 (37.497)	Prec@5 63.000 (68.414)
Epoch: [15][1570/9018]	Time 0.618 (0.618)	Data 0.001 (0.002)	Loss 2.6047 (2.5561)	Prec@1 35.000 (37.491)	Prec@5 68.500 (68.419)
Epoch: [15][1580/9018]	Time 0.636 (0.618)	Data 0.001 (0.002)	Loss 2.5758 (2.5563)	Prec@1 39.500 (37.490)	Prec@5 67.500 (68.407)
Epoch: [15][1590/9018]	Time 0.601 (0.618)	Data 0.001 (0.002)	Loss 2.3449 (2.5558)	Prec@1 43.000 (37.494)	Prec@5 75.000 (68.418)
Epoch: [15][1600/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 2.6889 (2.5558)	Prec@1 32.500 (37.492)	Prec@5 65.500 (68.416)
Epoch: [15][1610/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 2.5696 (2.5562)	Prec@1 38.500 (37.487)	Prec@5 68.500 (68.407)
Epoch: [15][1620/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 2.6237 (2.5564)	Prec@1 33.500 (37.484)	Prec@5 67.000 (68.404)
Epoch: [15][1630/9018]	Time 0.601 (0.618)	Data 0.001 (0.002)	Loss 2.4980 (2.5563)	Prec@1 44.500 (37.492)	Prec@5 68.000 (68.404)
Epoch: [15][1640/9018]	Time 0.616 (0.618)	Data 0.001 (0.002)	Loss 2.4079 (2.5563)	Prec@1 38.000 (37.501)	Prec@5 75.000 (68.410)
Epoch: [15][1650/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 2.5125 (2.5565)	Prec@1 37.500 (37.497)	Prec@5 69.500 (68.401)
Epoch: [15][1660/9018]	Time 0.613 (0.618)	Data 0.001 (0.002)	Loss 2.3906 (2.5562)	Prec@1 45.000 (37.507)	Prec@5 70.500 (68.408)
Epoch: [15][1670/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 2.6210 (2.5559)	Prec@1 35.000 (37.518)	Prec@5 68.500 (68.417)
Epoch: [15][1680/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 2.3454 (2.5561)	Prec@1 38.500 (37.516)	Prec@5 74.500 (68.425)
Epoch: [15][1690/9018]	Time 0.604 (0.618)	Data 0.001 (0.002)	Loss 2.5330 (2.5563)	Prec@1 42.000 (37.521)	Prec@5 72.000 (68.421)
Epoch: [15][1700/9018]	Time 0.601 (0.618)	Data 0.001 (0.002)	Loss 2.8192 (2.5568)	Prec@1 32.500 (37.512)	Prec@5 64.500 (68.412)
Epoch: [15][1710/9018]	Time 0.604 (0.618)	Data 0.001 (0.002)	Loss 2.3711 (2.5565)	Prec@1 48.500 (37.518)	Prec@5 70.500 (68.414)
Epoch: [15][1720/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 2.4596 (2.5565)	Prec@1 40.000 (37.527)	Prec@5 67.000 (68.410)
Epoch: [15][1730/9018]	Time 0.723 (0.618)	Data 0.001 (0.002)	Loss 2.5513 (2.5567)	Prec@1 44.000 (37.527)	Prec@5 72.000 (68.407)
Epoch: [15][1740/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 2.5066 (2.5567)	Prec@1 36.500 (37.524)	Prec@5 69.000 (68.405)
Epoch: [15][1750/9018]	Time 0.620 (0.618)	Data 0.001 (0.002)	Loss 2.5322 (2.5568)	Prec@1 39.500 (37.525)	Prec@5 69.500 (68.408)
Epoch: [15][1760/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 2.8158 (2.5573)	Prec@1 33.500 (37.516)	Prec@5 64.000 (68.403)
Epoch: [15][1770/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.4921 (2.5574)	Prec@1 39.500 (37.517)	Prec@5 70.000 (68.404)
Epoch: [15][1780/9018]	Time 0.744 (0.617)	Data 0.001 (0.002)	Loss 2.8406 (2.5576)	Prec@1 30.500 (37.515)	Prec@5 60.500 (68.397)
Epoch: [15][1790/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.5328 (2.5576)	Prec@1 37.000 (37.513)	Prec@5 66.500 (68.400)
Epoch: [15][1800/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.3184 (2.5574)	Prec@1 42.000 (37.515)	Prec@5 71.000 (68.402)
Epoch: [15][1810/9018]	Time 0.630 (0.617)	Data 0.001 (0.002)	Loss 2.5808 (2.5575)	Prec@1 35.000 (37.517)	Prec@5 67.500 (68.398)
Epoch: [15][1820/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.4431 (2.5575)	Prec@1 38.000 (37.511)	Prec@5 69.000 (68.396)
Epoch: [15][1830/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.6399 (2.5573)	Prec@1 41.500 (37.514)	Prec@5 66.500 (68.404)
Epoch: [15][1840/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.6403 (2.5573)	Prec@1 34.500 (37.512)	Prec@5 66.500 (68.401)
Epoch: [15][1850/9018]	Time 0.591 (0.617)	Data 0.001 (0.002)	Loss 2.7059 (2.5577)	Prec@1 31.500 (37.505)	Prec@5 67.500 (68.397)
Epoch: [15][1860/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.4216 (2.5578)	Prec@1 38.500 (37.503)	Prec@5 68.000 (68.391)
Epoch: [15][1870/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.5991 (2.5576)	Prec@1 39.000 (37.505)	Prec@5 68.000 (68.399)
Epoch: [15][1880/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.5838 (2.5578)	Prec@1 36.500 (37.505)	Prec@5 69.500 (68.395)
Epoch: [15][1890/9018]	Time 0.615 (0.617)	Data 0.001 (0.002)	Loss 2.6664 (2.5579)	Prec@1 35.500 (37.504)	Prec@5 69.500 (68.398)
Epoch: [15][1900/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.4498 (2.5582)	Prec@1 36.000 (37.499)	Prec@5 70.500 (68.391)
Epoch: [15][1910/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.4517 (2.5585)	Prec@1 39.000 (37.492)	Prec@5 72.500 (68.385)
Epoch: [15][1920/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.4173 (2.5584)	Prec@1 42.500 (37.500)	Prec@5 71.000 (68.384)
Epoch: [15][1930/9018]	Time 0.634 (0.617)	Data 0.001 (0.002)	Loss 2.3655 (2.5582)	Prec@1 42.000 (37.509)	Prec@5 73.500 (68.385)
Epoch: [15][1940/9018]	Time 0.640 (0.617)	Data 0.001 (0.002)	Loss 2.6157 (2.5578)	Prec@1 37.000 (37.517)	Prec@5 67.000 (68.385)
Epoch: [15][1950/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.3218 (2.5578)	Prec@1 40.500 (37.517)	Prec@5 74.000 (68.387)
Epoch: [15][1960/9018]	Time 0.616 (0.617)	Data 0.001 (0.002)	Loss 2.5865 (2.5582)	Prec@1 36.000 (37.518)	Prec@5 68.000 (68.380)
Epoch: [15][1970/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.4955 (2.5580)	Prec@1 37.500 (37.516)	Prec@5 71.000 (68.384)
Epoch: [15][1980/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.5134 (2.5577)	Prec@1 38.500 (37.519)	Prec@5 70.000 (68.388)
Epoch: [15][1990/9018]	Time 0.643 (0.617)	Data 0.001 (0.002)	Loss 2.6562 (2.5575)	Prec@1 35.000 (37.519)	Prec@5 62.500 (68.387)
Epoch: [15][2000/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.3839 (2.5572)	Prec@1 39.500 (37.529)	Prec@5 71.000 (68.395)
Epoch: [15][2010/9018]	Time 0.620 (0.617)	Data 0.001 (0.002)	Loss 2.5777 (2.5575)	Prec@1 38.500 (37.514)	Prec@5 68.000 (68.392)
Epoch: [15][2020/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.6793 (2.5576)	Prec@1 38.500 (37.514)	Prec@5 65.000 (68.390)
Epoch: [15][2030/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.5326 (2.5575)	Prec@1 37.000 (37.517)	Prec@5 67.500 (68.393)
Epoch: [15][2040/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.6663 (2.5582)	Prec@1 34.500 (37.512)	Prec@5 62.000 (68.375)
Epoch: [15][2050/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.3605 (2.5581)	Prec@1 44.500 (37.516)	Prec@5 72.500 (68.377)
Epoch: [15][2060/9018]	Time 0.731 (0.617)	Data 0.001 (0.002)	Loss 2.4643 (2.5579)	Prec@1 39.000 (37.519)	Prec@5 67.000 (68.383)
Epoch: [15][2070/9018]	Time 0.591 (0.617)	Data 0.001 (0.002)	Loss 2.6358 (2.5581)	Prec@1 35.500 (37.515)	Prec@5 68.000 (68.377)
Epoch: [15][2080/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 2.5432 (2.5584)	Prec@1 36.000 (37.514)	Prec@5 67.000 (68.372)
Epoch: [15][2090/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.6580 (2.5584)	Prec@1 36.000 (37.520)	Prec@5 66.500 (68.375)
Epoch: [15][2100/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.4569 (2.5583)	Prec@1 40.000 (37.518)	Prec@5 68.500 (68.373)
Epoch: [15][2110/9018]	Time 0.739 (0.617)	Data 0.001 (0.002)	Loss 2.4247 (2.5582)	Prec@1 44.500 (37.520)	Prec@5 69.500 (68.373)
Epoch: [15][2120/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.6627 (2.5583)	Prec@1 39.000 (37.523)	Prec@5 65.500 (68.366)
Epoch: [15][2130/9018]	Time 0.619 (0.617)	Data 0.001 (0.002)	Loss 2.6423 (2.5583)	Prec@1 35.000 (37.523)	Prec@5 66.000 (68.367)
Epoch: [15][2140/9018]	Time 0.634 (0.617)	Data 0.001 (0.002)	Loss 2.5466 (2.5585)	Prec@1 36.500 (37.518)	Prec@5 70.000 (68.364)
Epoch: [15][2150/9018]	Time 0.611 (0.617)	Data 0.001 (0.002)	Loss 2.4857 (2.5584)	Prec@1 42.500 (37.520)	Prec@5 70.000 (68.368)
Epoch: [15][2160/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.2991 (2.5585)	Prec@1 42.500 (37.519)	Prec@5 71.500 (68.362)
Epoch: [15][2170/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.5556 (2.5585)	Prec@1 34.000 (37.521)	Prec@5 71.500 (68.365)
Epoch: [15][2180/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.4486 (2.5581)	Prec@1 40.500 (37.526)	Prec@5 71.000 (68.369)
Epoch: [15][2190/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.7775 (2.5579)	Prec@1 34.000 (37.529)	Prec@5 64.000 (68.373)
Epoch: [15][2200/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.5290 (2.5579)	Prec@1 36.500 (37.529)	Prec@5 69.000 (68.375)
Epoch: [15][2210/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.6081 (2.5578)	Prec@1 33.500 (37.535)	Prec@5 67.000 (68.371)
Epoch: [15][2220/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.6243 (2.5578)	Prec@1 35.000 (37.536)	Prec@5 64.000 (68.369)
Epoch: [15][2230/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.5433 (2.5579)	Prec@1 36.500 (37.534)	Prec@5 67.000 (68.369)
Epoch: [15][2240/9018]	Time 0.646 (0.617)	Data 0.001 (0.002)	Loss 2.6173 (2.5580)	Prec@1 37.000 (37.532)	Prec@5 67.500 (68.366)
Epoch: [15][2250/9018]	Time 0.609 (0.617)	Data 0.001 (0.002)	Loss 2.6449 (2.5585)	Prec@1 34.500 (37.520)	Prec@5 68.500 (68.358)
Epoch: [15][2260/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.6421 (2.5587)	Prec@1 34.500 (37.515)	Prec@5 70.500 (68.355)
Epoch: [15][2270/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.5588 (2.5591)	Prec@1 36.000 (37.509)	Prec@5 67.500 (68.353)
Epoch: [15][2280/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.5488 (2.5591)	Prec@1 36.000 (37.505)	Prec@5 73.500 (68.353)
Epoch: [15][2290/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.4026 (2.5590)	Prec@1 42.000 (37.513)	Prec@5 72.000 (68.361)
Epoch: [15][2300/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.4852 (2.5591)	Prec@1 39.500 (37.510)	Prec@5 66.500 (68.360)
Epoch: [15][2310/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.3139 (2.5591)	Prec@1 40.000 (37.516)	Prec@5 72.500 (68.359)
Epoch: [15][2320/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.6925 (2.5593)	Prec@1 32.000 (37.517)	Prec@5 66.500 (68.352)
Epoch: [15][2330/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.5362 (2.5594)	Prec@1 37.500 (37.513)	Prec@5 71.000 (68.354)
Epoch: [15][2340/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.5664 (2.5595)	Prec@1 39.000 (37.513)	Prec@5 68.000 (68.353)
Epoch: [15][2350/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.4723 (2.5594)	Prec@1 42.500 (37.515)	Prec@5 68.500 (68.356)
Epoch: [15][2360/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.5224 (2.5591)	Prec@1 34.000 (37.517)	Prec@5 69.000 (68.359)
Epoch: [15][2370/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.8160 (2.5591)	Prec@1 36.500 (37.525)	Prec@5 62.000 (68.363)
Epoch: [15][2380/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.5005 (2.5592)	Prec@1 40.000 (37.525)	Prec@5 68.000 (68.356)
Epoch: [15][2390/9018]	Time 0.730 (0.617)	Data 0.001 (0.002)	Loss 2.5000 (2.5592)	Prec@1 36.500 (37.524)	Prec@5 73.000 (68.357)
Epoch: [15][2400/9018]	Time 0.589 (0.617)	Data 0.001 (0.002)	Loss 2.2713 (2.5586)	Prec@1 43.500 (37.540)	Prec@5 74.000 (68.369)
Epoch: [15][2410/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.6451 (2.5586)	Prec@1 35.500 (37.548)	Prec@5 68.500 (68.370)
Epoch: [15][2420/9018]	Time 0.614 (0.617)	Data 0.001 (0.002)	Loss 2.3772 (2.5590)	Prec@1 41.000 (37.545)	Prec@5 71.000 (68.360)
Epoch: [15][2430/9018]	Time 0.612 (0.617)	Data 0.001 (0.002)	Loss 2.5310 (2.5594)	Prec@1 40.500 (37.533)	Prec@5 67.500 (68.354)
Epoch: [15][2440/9018]	Time 0.735 (0.617)	Data 0.001 (0.002)	Loss 2.6465 (2.5599)	Prec@1 33.000 (37.524)	Prec@5 66.500 (68.347)
Epoch: [15][2450/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.5451 (2.5597)	Prec@1 36.000 (37.529)	Prec@5 68.000 (68.349)
Epoch: [15][2460/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.3617 (2.5597)	Prec@1 39.000 (37.530)	Prec@5 73.000 (68.356)
Epoch: [15][2470/9018]	Time 0.637 (0.617)	Data 0.001 (0.002)	Loss 2.6147 (2.5598)	Prec@1 40.000 (37.525)	Prec@5 68.000 (68.357)
Epoch: [15][2480/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.5286 (2.5595)	Prec@1 37.000 (37.533)	Prec@5 71.500 (68.360)
Epoch: [15][2490/9018]	Time 0.619 (0.617)	Data 0.001 (0.002)	Loss 2.5440 (2.5593)	Prec@1 36.500 (37.532)	Prec@5 69.500 (68.365)
Epoch: [15][2500/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.2347 (2.5589)	Prec@1 47.000 (37.539)	Prec@5 75.000 (68.378)
Epoch: [15][2510/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.4667 (2.5593)	Prec@1 35.500 (37.534)	Prec@5 70.000 (68.371)
Epoch: [15][2520/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.3261 (2.5592)	Prec@1 38.000 (37.534)	Prec@5 74.000 (68.375)
Epoch: [15][2530/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.6583 (2.5594)	Prec@1 35.500 (37.532)	Prec@5 67.000 (68.374)
Epoch: [15][2540/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.5775 (2.5594)	Prec@1 39.000 (37.533)	Prec@5 61.500 (68.374)
Epoch: [15][2550/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.6038 (2.5597)	Prec@1 39.000 (37.526)	Prec@5 64.500 (68.370)
Epoch: [15][2560/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 2.5490 (2.5596)	Prec@1 34.500 (37.524)	Prec@5 69.000 (68.373)
Epoch: [15][2570/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.5742 (2.5594)	Prec@1 39.000 (37.528)	Prec@5 67.000 (68.374)
Epoch: [15][2580/9018]	Time 0.631 (0.617)	Data 0.001 (0.002)	Loss 2.5560 (2.5595)	Prec@1 32.500 (37.528)	Prec@5 70.000 (68.368)
Epoch: [15][2590/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.7153 (2.5596)	Prec@1 35.500 (37.525)	Prec@5 62.000 (68.364)
Epoch: [15][2600/9018]	Time 0.614 (0.617)	Data 0.001 (0.002)	Loss 2.5866 (2.5595)	Prec@1 35.500 (37.523)	Prec@5 67.500 (68.369)
Epoch: [15][2610/9018]	Time 0.612 (0.617)	Data 0.001 (0.002)	Loss 2.7722 (2.5596)	Prec@1 35.000 (37.522)	Prec@5 65.000 (68.368)
Epoch: [15][2620/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.5448 (2.5594)	Prec@1 37.500 (37.528)	Prec@5 66.000 (68.368)
Epoch: [15][2630/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.5244 (2.5596)	Prec@1 37.500 (37.529)	Prec@5 67.500 (68.367)
Epoch: [15][2640/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.4208 (2.5596)	Prec@1 41.500 (37.535)	Prec@5 70.000 (68.366)
Epoch: [15][2650/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.3702 (2.5598)	Prec@1 37.500 (37.530)	Prec@5 70.000 (68.361)
Epoch: [15][2660/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.3192 (2.5595)	Prec@1 39.000 (37.537)	Prec@5 72.500 (68.368)
Epoch: [15][2670/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.8178 (2.5597)	Prec@1 34.000 (37.533)	Prec@5 62.000 (68.364)
Epoch: [15][2680/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 2.7955 (2.5598)	Prec@1 34.000 (37.534)	Prec@5 63.500 (68.363)
Epoch: [15][2690/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 2.7365 (2.5600)	Prec@1 34.500 (37.533)	Prec@5 67.500 (68.359)
Epoch: [15][2700/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.5580 (2.5598)	Prec@1 46.000 (37.537)	Prec@5 69.000 (68.359)
Epoch: [15][2710/9018]	Time 0.615 (0.617)	Data 0.001 (0.002)	Loss 2.7589 (2.5597)	Prec@1 35.000 (37.540)	Prec@5 65.500 (68.362)
Epoch: [15][2720/9018]	Time 0.734 (0.617)	Data 0.001 (0.002)	Loss 2.8066 (2.5602)	Prec@1 33.500 (37.528)	Prec@5 60.500 (68.352)
Epoch: [15][2730/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.7708 (2.5603)	Prec@1 32.500 (37.527)	Prec@5 65.000 (68.348)
Epoch: [15][2740/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.5517 (2.5603)	Prec@1 36.500 (37.529)	Prec@5 69.500 (68.348)
Epoch: [15][2750/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.5538 (2.5602)	Prec@1 39.000 (37.536)	Prec@5 67.500 (68.346)
Epoch: [15][2760/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.3430 (2.5603)	Prec@1 43.500 (37.535)	Prec@5 69.000 (68.343)
Epoch: [15][2770/9018]	Time 0.709 (0.617)	Data 0.001 (0.002)	Loss 2.6505 (2.5604)	Prec@1 34.500 (37.528)	Prec@5 69.500 (68.346)
Epoch: [15][2780/9018]	Time 0.589 (0.617)	Data 0.001 (0.002)	Loss 2.5387 (2.5605)	Prec@1 35.000 (37.525)	Prec@5 69.500 (68.346)
Epoch: [15][2790/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.4106 (2.5604)	Prec@1 41.000 (37.522)	Prec@5 72.000 (68.347)
Epoch: [15][2800/9018]	Time 0.617 (0.617)	Data 0.001 (0.002)	Loss 2.7024 (2.5606)	Prec@1 33.500 (37.516)	Prec@5 65.500 (68.344)
Epoch: [15][2810/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.4848 (2.5610)	Prec@1 38.500 (37.509)	Prec@5 71.500 (68.338)
Epoch: [15][2820/9018]	Time 0.612 (0.617)	Data 0.001 (0.002)	Loss 2.6559 (2.5612)	Prec@1 35.500 (37.507)	Prec@5 66.500 (68.339)
Epoch: [15][2830/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.6465 (2.5612)	Prec@1 37.500 (37.504)	Prec@5 65.500 (68.335)
Epoch: [15][2840/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.7389 (2.5612)	Prec@1 32.000 (37.505)	Prec@5 65.500 (68.334)
Epoch: [15][2850/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.3946 (2.5609)	Prec@1 41.500 (37.506)	Prec@5 70.500 (68.340)
Epoch: [15][2860/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.7872 (2.5611)	Prec@1 35.500 (37.508)	Prec@5 64.500 (68.336)
Epoch: [15][2870/9018]	Time 0.611 (0.617)	Data 0.001 (0.002)	Loss 2.3747 (2.5609)	Prec@1 40.500 (37.508)	Prec@5 70.500 (68.340)
Epoch: [15][2880/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.5710 (2.5609)	Prec@1 39.000 (37.506)	Prec@5 69.000 (68.339)
Epoch: [15][2890/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.6971 (2.5606)	Prec@1 37.000 (37.509)	Prec@5 64.500 (68.346)
Epoch: [15][2900/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.4619 (2.5606)	Prec@1 42.000 (37.508)	Prec@5 71.000 (68.345)
Epoch: [15][2910/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.4686 (2.5607)	Prec@1 44.000 (37.508)	Prec@5 65.500 (68.342)
Epoch: [15][2920/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.6056 (2.5606)	Prec@1 31.000 (37.504)	Prec@5 69.500 (68.345)
Epoch: [15][2930/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.5488 (2.5606)	Prec@1 34.500 (37.502)	Prec@5 71.500 (68.348)
Epoch: [15][2940/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4199 (2.5607)	Prec@1 38.000 (37.502)	Prec@5 71.000 (68.346)
Epoch: [15][2950/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.2271 (2.5607)	Prec@1 46.500 (37.506)	Prec@5 74.500 (68.345)
Epoch: [15][2960/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.4012 (2.5607)	Prec@1 42.500 (37.505)	Prec@5 73.000 (68.346)
Epoch: [15][2970/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.7202 (2.5607)	Prec@1 33.500 (37.502)	Prec@5 67.000 (68.345)
Epoch: [15][2980/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.7155 (2.5609)	Prec@1 34.000 (37.499)	Prec@5 66.000 (68.345)
Epoch: [15][2990/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6910 (2.5611)	Prec@1 34.500 (37.498)	Prec@5 66.500 (68.342)
Epoch: [15][3000/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.5358 (2.5610)	Prec@1 34.500 (37.502)	Prec@5 67.000 (68.342)
Epoch: [15][3010/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.3264 (2.5609)	Prec@1 40.500 (37.500)	Prec@5 74.000 (68.347)
Epoch: [15][3020/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4258 (2.5608)	Prec@1 40.500 (37.498)	Prec@5 71.000 (68.348)
Epoch: [15][3030/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.4224 (2.5609)	Prec@1 40.000 (37.500)	Prec@5 73.500 (68.347)
Epoch: [15][3040/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.5587 (2.5609)	Prec@1 34.500 (37.502)	Prec@5 66.000 (68.348)
Epoch: [15][3050/9018]	Time 0.735 (0.616)	Data 0.001 (0.002)	Loss 2.6177 (2.5608)	Prec@1 36.500 (37.503)	Prec@5 66.500 (68.347)
Epoch: [15][3060/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.4043 (2.5609)	Prec@1 39.500 (37.500)	Prec@5 71.000 (68.345)
Epoch: [15][3070/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.6774 (2.5610)	Prec@1 32.500 (37.499)	Prec@5 65.000 (68.343)
Epoch: [15][3080/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.4368 (2.5610)	Prec@1 40.000 (37.499)	Prec@5 68.000 (68.345)
Epoch: [15][3090/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.3561 (2.5610)	Prec@1 44.500 (37.501)	Prec@5 70.500 (68.344)
Epoch: [15][3100/9018]	Time 0.735 (0.616)	Data 0.001 (0.002)	Loss 2.4239 (2.5611)	Prec@1 42.500 (37.499)	Prec@5 72.500 (68.345)
Epoch: [15][3110/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4067 (2.5609)	Prec@1 42.000 (37.500)	Prec@5 71.500 (68.349)
Epoch: [15][3120/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.2952 (2.5607)	Prec@1 43.500 (37.502)	Prec@5 74.000 (68.352)
Epoch: [15][3130/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.4925 (2.5607)	Prec@1 35.500 (37.497)	Prec@5 73.500 (68.355)
Epoch: [15][3140/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4839 (2.5608)	Prec@1 41.500 (37.496)	Prec@5 66.000 (68.353)
Epoch: [15][3150/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5746 (2.5612)	Prec@1 35.500 (37.492)	Prec@5 68.000 (68.350)
Epoch: [15][3160/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.6967 (2.5611)	Prec@1 37.500 (37.496)	Prec@5 64.000 (68.352)
Epoch: [15][3170/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8300 (2.5613)	Prec@1 35.000 (37.489)	Prec@5 60.000 (68.349)
Epoch: [15][3180/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.4677 (2.5612)	Prec@1 40.000 (37.492)	Prec@5 71.500 (68.350)
Epoch: [15][3190/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5211 (2.5612)	Prec@1 38.000 (37.492)	Prec@5 69.000 (68.353)
Epoch: [15][3200/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5716 (2.5613)	Prec@1 35.500 (37.491)	Prec@5 66.000 (68.348)
Epoch: [15][3210/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.6360 (2.5617)	Prec@1 34.000 (37.482)	Prec@5 69.000 (68.347)
Epoch: [15][3220/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.4312 (2.5616)	Prec@1 36.000 (37.480)	Prec@5 72.500 (68.352)
Epoch: [15][3230/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.5948 (2.5618)	Prec@1 37.000 (37.478)	Prec@5 70.500 (68.347)
Epoch: [15][3240/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6354 (2.5620)	Prec@1 37.500 (37.479)	Prec@5 68.500 (68.346)
Epoch: [15][3250/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.6305 (2.5619)	Prec@1 35.500 (37.481)	Prec@5 65.500 (68.345)
Epoch: [15][3260/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.8219 (2.5618)	Prec@1 32.000 (37.486)	Prec@5 66.000 (68.347)
Epoch: [15][3270/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.6412 (2.5619)	Prec@1 38.500 (37.485)	Prec@5 68.500 (68.346)
Epoch: [15][3280/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.7654 (2.5620)	Prec@1 34.000 (37.484)	Prec@5 66.000 (68.344)
Epoch: [15][3290/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.6426 (2.5620)	Prec@1 36.000 (37.485)	Prec@5 62.500 (68.346)
Epoch: [15][3300/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.7411 (2.5619)	Prec@1 34.500 (37.483)	Prec@5 64.000 (68.348)
Epoch: [15][3310/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.3048 (2.5619)	Prec@1 39.500 (37.480)	Prec@5 73.000 (68.348)
Epoch: [15][3320/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.6994 (2.5619)	Prec@1 38.500 (37.481)	Prec@5 65.500 (68.344)
Epoch: [15][3330/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.6479 (2.5622)	Prec@1 35.000 (37.474)	Prec@5 65.000 (68.340)
Epoch: [15][3340/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5487 (2.5621)	Prec@1 41.500 (37.475)	Prec@5 67.000 (68.343)
Epoch: [15][3350/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.3237 (2.5619)	Prec@1 38.000 (37.482)	Prec@5 72.000 (68.344)
Epoch: [15][3360/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.6931 (2.5619)	Prec@1 39.500 (37.481)	Prec@5 67.000 (68.347)
Epoch: [15][3370/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.5505 (2.5619)	Prec@1 35.500 (37.478)	Prec@5 67.000 (68.347)
Epoch: [15][3380/9018]	Time 0.719 (0.616)	Data 0.001 (0.001)	Loss 2.5165 (2.5619)	Prec@1 37.500 (37.478)	Prec@5 65.500 (68.345)
Epoch: [15][3390/9018]	Time 0.644 (0.616)	Data 0.001 (0.001)	Loss 2.6699 (2.5620)	Prec@1 36.000 (37.479)	Prec@5 68.000 (68.346)
Epoch: [15][3400/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.5886 (2.5619)	Prec@1 40.500 (37.484)	Prec@5 66.500 (68.348)
Epoch: [15][3410/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.4459 (2.5619)	Prec@1 41.000 (37.483)	Prec@5 72.000 (68.346)
Epoch: [15][3420/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.7063 (2.5620)	Prec@1 34.500 (37.483)	Prec@5 65.500 (68.346)
Epoch: [15][3430/9018]	Time 0.715 (0.616)	Data 0.001 (0.001)	Loss 2.5815 (2.5621)	Prec@1 37.000 (37.479)	Prec@5 68.000 (68.347)
Epoch: [15][3440/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.7320 (2.5625)	Prec@1 33.500 (37.470)	Prec@5 62.000 (68.338)
Epoch: [15][3450/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.5167 (2.5626)	Prec@1 39.000 (37.468)	Prec@5 69.500 (68.337)
Epoch: [15][3460/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.6795 (2.5626)	Prec@1 38.000 (37.466)	Prec@5 65.500 (68.336)
Epoch: [15][3470/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.4742 (2.5627)	Prec@1 41.500 (37.465)	Prec@5 71.000 (68.332)
Epoch: [15][3480/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.5131 (2.5626)	Prec@1 37.500 (37.462)	Prec@5 68.500 (68.334)
Epoch: [15][3490/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.5982 (2.5627)	Prec@1 36.500 (37.462)	Prec@5 67.000 (68.332)
Epoch: [15][3500/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.6037 (2.5628)	Prec@1 37.500 (37.464)	Prec@5 68.500 (68.330)
Epoch: [15][3510/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.7205 (2.5630)	Prec@1 40.000 (37.459)	Prec@5 67.000 (68.329)
Epoch: [15][3520/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.4183 (2.5630)	Prec@1 40.000 (37.459)	Prec@5 75.000 (68.329)
Epoch: [15][3530/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.7911 (2.5632)	Prec@1 29.000 (37.453)	Prec@5 61.000 (68.326)
Epoch: [15][3540/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.4548 (2.5631)	Prec@1 41.000 (37.456)	Prec@5 72.500 (68.331)
Epoch: [15][3550/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.5690 (2.5630)	Prec@1 42.500 (37.458)	Prec@5 68.000 (68.333)
Epoch: [15][3560/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.6115 (2.5630)	Prec@1 40.500 (37.459)	Prec@5 70.000 (68.332)
Epoch: [15][3570/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.5569 (2.5632)	Prec@1 41.000 (37.455)	Prec@5 65.000 (68.324)
Epoch: [15][3580/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.5675 (2.5631)	Prec@1 36.500 (37.460)	Prec@5 71.000 (68.325)
Epoch: [15][3590/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.5372 (2.5630)	Prec@1 38.500 (37.461)	Prec@5 65.500 (68.326)
Epoch: [15][3600/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.3438 (2.5631)	Prec@1 42.500 (37.457)	Prec@5 70.500 (68.323)
Epoch: [15][3610/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.6381 (2.5629)	Prec@1 34.000 (37.460)	Prec@5 68.500 (68.326)
Epoch: [15][3620/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.5584 (2.5629)	Prec@1 37.000 (37.459)	Prec@5 71.000 (68.324)
Epoch: [15][3630/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.8344 (2.5629)	Prec@1 31.000 (37.462)	Prec@5 65.000 (68.324)
Epoch: [15][3640/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.6437 (2.5628)	Prec@1 35.000 (37.461)	Prec@5 67.500 (68.325)
Epoch: [15][3650/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.7254 (2.5630)	Prec@1 33.500 (37.458)	Prec@5 63.500 (68.319)
Epoch: [15][3660/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.5514 (2.5630)	Prec@1 37.000 (37.462)	Prec@5 65.500 (68.322)
Epoch: [15][3670/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.5517 (2.5631)	Prec@1 35.500 (37.460)	Prec@5 68.000 (68.319)
Epoch: [15][3680/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.7355 (2.5632)	Prec@1 34.000 (37.460)	Prec@5 67.000 (68.318)
Epoch: [15][3690/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.7592 (2.5633)	Prec@1 33.000 (37.457)	Prec@5 61.000 (68.313)
Epoch: [15][3700/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.9145 (2.5632)	Prec@1 29.000 (37.461)	Prec@5 58.500 (68.313)
Epoch: [15][3710/9018]	Time 0.744 (0.616)	Data 0.001 (0.001)	Loss 2.5504 (2.5634)	Prec@1 33.000 (37.453)	Prec@5 63.000 (68.309)
Epoch: [15][3720/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.5715 (2.5635)	Prec@1 39.500 (37.450)	Prec@5 67.500 (68.303)
Epoch: [15][3730/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.7082 (2.5637)	Prec@1 34.000 (37.447)	Prec@5 63.500 (68.298)
Epoch: [15][3740/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.5852 (2.5638)	Prec@1 33.500 (37.445)	Prec@5 68.500 (68.296)
Epoch: [15][3750/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5407 (2.5637)	Prec@1 33.500 (37.446)	Prec@5 70.000 (68.299)
Epoch: [15][3760/9018]	Time 0.722 (0.616)	Data 0.001 (0.001)	Loss 2.6540 (2.5637)	Prec@1 36.500 (37.444)	Prec@5 62.500 (68.300)
Epoch: [15][3770/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.5955 (2.5638)	Prec@1 37.500 (37.443)	Prec@5 67.500 (68.302)
Epoch: [15][3780/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.4068 (2.5637)	Prec@1 37.500 (37.445)	Prec@5 70.500 (68.304)
Epoch: [15][3790/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.6726 (2.5637)	Prec@1 34.000 (37.441)	Prec@5 65.500 (68.304)
Epoch: [15][3800/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.3880 (2.5635)	Prec@1 41.500 (37.447)	Prec@5 69.500 (68.308)
Epoch: [15][3810/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.5329 (2.5637)	Prec@1 36.000 (37.447)	Prec@5 68.500 (68.305)
Epoch: [15][3820/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.6839 (2.5638)	Prec@1 34.500 (37.444)	Prec@5 65.500 (68.303)
Epoch: [15][3830/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.4372 (2.5636)	Prec@1 36.500 (37.444)	Prec@5 68.500 (68.307)
Epoch: [15][3840/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.3322 (2.5635)	Prec@1 44.000 (37.446)	Prec@5 71.000 (68.310)
Epoch: [15][3850/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.4640 (2.5634)	Prec@1 42.000 (37.446)	Prec@5 71.500 (68.313)
Epoch: [15][3860/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.5869 (2.5634)	Prec@1 38.000 (37.445)	Prec@5 62.500 (68.310)
Epoch: [15][3870/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.5270 (2.5634)	Prec@1 39.000 (37.445)	Prec@5 68.500 (68.309)
Epoch: [15][3880/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.4876 (2.5633)	Prec@1 39.000 (37.444)	Prec@5 71.500 (68.312)
Epoch: [15][3890/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.5189 (2.5635)	Prec@1 36.000 (37.438)	Prec@5 68.000 (68.309)
Epoch: [15][3900/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.4642 (2.5633)	Prec@1 39.500 (37.441)	Prec@5 71.500 (68.313)
Epoch: [15][3910/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.5841 (2.5633)	Prec@1 34.500 (37.438)	Prec@5 68.500 (68.313)
Epoch: [15][3920/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.5288 (2.5633)	Prec@1 39.000 (37.442)	Prec@5 67.500 (68.315)
Epoch: [15][3930/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.5807 (2.5634)	Prec@1 36.000 (37.442)	Prec@5 67.500 (68.312)
Epoch: [15][3940/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.8038 (2.5634)	Prec@1 33.500 (37.442)	Prec@5 60.500 (68.308)
Epoch: [15][3950/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.6207 (2.5634)	Prec@1 39.000 (37.443)	Prec@5 66.500 (68.309)
Epoch: [15][3960/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5542 (2.5633)	Prec@1 36.000 (37.445)	Prec@5 71.000 (68.312)
Epoch: [15][3970/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.3807 (2.5632)	Prec@1 40.500 (37.448)	Prec@5 68.500 (68.313)
Epoch: [15][3980/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.7471 (2.5632)	Prec@1 34.500 (37.447)	Prec@5 63.500 (68.313)
Epoch: [15][3990/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.4131 (2.5632)	Prec@1 44.500 (37.446)	Prec@5 73.500 (68.315)
Epoch: [15][4000/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.4058 (2.5632)	Prec@1 41.500 (37.449)	Prec@5 72.000 (68.314)
Epoch: [15][4010/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.4430 (2.5632)	Prec@1 41.500 (37.449)	Prec@5 70.500 (68.312)
Epoch: [15][4020/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.5338 (2.5633)	Prec@1 39.500 (37.448)	Prec@5 71.000 (68.313)
Epoch: [15][4030/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.5736 (2.5633)	Prec@1 36.500 (37.447)	Prec@5 68.000 (68.315)
Epoch: [15][4040/9018]	Time 0.741 (0.616)	Data 0.001 (0.001)	Loss 2.5050 (2.5631)	Prec@1 37.000 (37.449)	Prec@5 72.000 (68.319)
Epoch: [15][4050/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.7457 (2.5631)	Prec@1 35.000 (37.454)	Prec@5 66.000 (68.319)
Epoch: [15][4060/9018]	Time 0.639 (0.616)	Data 0.001 (0.001)	Loss 2.5431 (2.5633)	Prec@1 39.000 (37.453)	Prec@5 69.000 (68.314)
Epoch: [15][4070/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.5557 (2.5632)	Prec@1 39.500 (37.451)	Prec@5 69.500 (68.315)
Epoch: [15][4080/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.4812 (2.5634)	Prec@1 35.000 (37.446)	Prec@5 70.000 (68.315)
Epoch: [15][4090/9018]	Time 0.720 (0.616)	Data 0.001 (0.001)	Loss 2.5043 (2.5634)	Prec@1 37.500 (37.443)	Prec@5 66.500 (68.315)
Epoch: [15][4100/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.3135 (2.5632)	Prec@1 42.500 (37.444)	Prec@5 73.500 (68.317)
Epoch: [15][4110/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.4539 (2.5631)	Prec@1 40.000 (37.445)	Prec@5 71.000 (68.318)
Epoch: [15][4120/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 3.1197 (2.5634)	Prec@1 28.500 (37.440)	Prec@5 55.000 (68.313)
Epoch: [15][4130/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6050 (2.5634)	Prec@1 39.000 (37.443)	Prec@5 62.000 (68.311)
Epoch: [15][4140/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.4842 (2.5635)	Prec@1 38.500 (37.439)	Prec@5 75.000 (68.310)
Epoch: [15][4150/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6066 (2.5636)	Prec@1 42.000 (37.438)	Prec@5 68.000 (68.308)
Epoch: [15][4160/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.3336 (2.5636)	Prec@1 38.000 (37.438)	Prec@5 74.500 (68.308)
Epoch: [15][4170/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.4132 (2.5635)	Prec@1 43.000 (37.443)	Prec@5 69.000 (68.309)
Epoch: [15][4180/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.4229 (2.5635)	Prec@1 37.500 (37.444)	Prec@5 70.000 (68.307)
Epoch: [15][4190/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.7293 (2.5635)	Prec@1 31.500 (37.442)	Prec@5 65.500 (68.307)
Epoch: [15][4200/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.6873 (2.5635)	Prec@1 32.000 (37.441)	Prec@5 66.000 (68.309)
Epoch: [15][4210/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.6448 (2.5637)	Prec@1 38.500 (37.436)	Prec@5 65.000 (68.305)
Epoch: [15][4220/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.3221 (2.5636)	Prec@1 41.000 (37.436)	Prec@5 73.000 (68.307)
Epoch: [15][4230/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6360 (2.5636)	Prec@1 33.000 (37.433)	Prec@5 63.500 (68.304)
Epoch: [15][4240/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.4483 (2.5635)	Prec@1 39.000 (37.435)	Prec@5 70.500 (68.308)
Epoch: [15][4250/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.4542 (2.5633)	Prec@1 37.500 (37.440)	Prec@5 72.500 (68.314)
Epoch: [15][4260/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.4894 (2.5632)	Prec@1 41.500 (37.441)	Prec@5 72.000 (68.314)
Epoch: [15][4270/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6324 (2.5634)	Prec@1 34.000 (37.437)	Prec@5 67.000 (68.311)
Epoch: [15][4280/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.4123 (2.5634)	Prec@1 40.000 (37.437)	Prec@5 74.000 (68.312)
Epoch: [15][4290/9018]	Time 0.588 (0.616)	Data 0.001 (0.001)	Loss 2.4438 (2.5632)	Prec@1 39.500 (37.443)	Prec@5 70.000 (68.315)
Epoch: [15][4300/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.3989 (2.5633)	Prec@1 43.000 (37.442)	Prec@5 73.000 (68.313)
Epoch: [15][4310/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.9409 (2.5634)	Prec@1 33.000 (37.443)	Prec@5 63.000 (68.312)
Epoch: [15][4320/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5825 (2.5634)	Prec@1 37.500 (37.444)	Prec@5 65.500 (68.309)
Epoch: [15][4330/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.3550 (2.5633)	Prec@1 38.000 (37.446)	Prec@5 74.000 (68.312)
Epoch: [15][4340/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5389 (2.5633)	Prec@1 38.000 (37.448)	Prec@5 69.000 (68.312)
Epoch: [15][4350/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.4628 (2.5634)	Prec@1 40.500 (37.450)	Prec@5 69.000 (68.310)
Epoch: [15][4360/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.4098 (2.5633)	Prec@1 38.000 (37.448)	Prec@5 71.500 (68.313)
Epoch: [15][4370/9018]	Time 0.723 (0.616)	Data 0.001 (0.001)	Loss 2.3731 (2.5633)	Prec@1 41.500 (37.450)	Prec@5 73.500 (68.314)
Epoch: [15][4380/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.4720 (2.5634)	Prec@1 34.500 (37.450)	Prec@5 71.000 (68.312)
Epoch: [15][4390/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.4863 (2.5632)	Prec@1 38.500 (37.453)	Prec@5 71.000 (68.317)
Epoch: [15][4400/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.4717 (2.5632)	Prec@1 40.500 (37.451)	Prec@5 69.500 (68.315)
Epoch: [15][4410/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.4344 (2.5631)	Prec@1 34.500 (37.453)	Prec@5 71.000 (68.317)
Epoch: [15][4420/9018]	Time 0.724 (0.616)	Data 0.001 (0.001)	Loss 2.6073 (2.5630)	Prec@1 34.000 (37.451)	Prec@5 67.500 (68.320)
Epoch: [15][4430/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.7648 (2.5630)	Prec@1 33.500 (37.453)	Prec@5 64.500 (68.319)
Epoch: [15][4440/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.8329 (2.5631)	Prec@1 31.500 (37.450)	Prec@5 62.000 (68.317)
Epoch: [15][4450/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.6601 (2.5630)	Prec@1 37.000 (37.450)	Prec@5 67.500 (68.320)
Epoch: [15][4460/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.5168 (2.5629)	Prec@1 35.500 (37.452)	Prec@5 71.000 (68.322)
Epoch: [15][4470/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.3873 (2.5627)	Prec@1 39.500 (37.455)	Prec@5 70.500 (68.326)
Epoch: [15][4480/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.4188 (2.5626)	Prec@1 43.500 (37.461)	Prec@5 72.000 (68.328)
Epoch: [15][4490/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.6477 (2.5626)	Prec@1 33.000 (37.460)	Prec@5 64.500 (68.326)
Epoch: [15][4500/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.8843 (2.5628)	Prec@1 33.500 (37.458)	Prec@5 62.500 (68.325)
Epoch: [15][4510/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.7575 (2.5627)	Prec@1 32.500 (37.460)	Prec@5 66.000 (68.327)
Epoch: [15][4520/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5684 (2.5628)	Prec@1 35.000 (37.455)	Prec@5 66.500 (68.321)
Epoch: [15][4530/9018]	Time 0.639 (0.616)	Data 0.001 (0.001)	Loss 2.6463 (2.5628)	Prec@1 38.500 (37.459)	Prec@5 68.500 (68.321)
Epoch: [15][4540/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6244 (2.5628)	Prec@1 38.000 (37.457)	Prec@5 65.500 (68.322)
Epoch: [15][4550/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.3653 (2.5627)	Prec@1 42.000 (37.463)	Prec@5 71.500 (68.324)
Epoch: [15][4560/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.5700 (2.5628)	Prec@1 33.500 (37.458)	Prec@5 69.500 (68.322)
Epoch: [15][4570/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.5528 (2.5627)	Prec@1 35.000 (37.459)	Prec@5 69.000 (68.324)
Epoch: [15][4580/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.4369 (2.5627)	Prec@1 41.000 (37.458)	Prec@5 69.000 (68.323)
Epoch: [15][4590/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.6095 (2.5627)	Prec@1 41.000 (37.460)	Prec@5 67.000 (68.321)
Epoch: [15][4600/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.5123 (2.5625)	Prec@1 38.000 (37.462)	Prec@5 69.500 (68.325)
Epoch: [15][4610/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.4789 (2.5625)	Prec@1 37.000 (37.458)	Prec@5 74.000 (68.325)
Epoch: [15][4620/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.4662 (2.5626)	Prec@1 40.000 (37.456)	Prec@5 70.500 (68.323)
Epoch: [15][4630/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.7965 (2.5627)	Prec@1 34.000 (37.453)	Prec@5 62.000 (68.318)
Epoch: [15][4640/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.5408 (2.5628)	Prec@1 42.000 (37.454)	Prec@5 66.500 (68.316)
Epoch: [15][4650/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5012 (2.5628)	Prec@1 35.500 (37.452)	Prec@5 68.000 (68.314)
Epoch: [15][4660/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.6558 (2.5630)	Prec@1 38.500 (37.449)	Prec@5 71.000 (68.310)
Epoch: [15][4670/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.5088 (2.5630)	Prec@1 42.000 (37.452)	Prec@5 69.500 (68.310)
Epoch: [15][4680/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6754 (2.5630)	Prec@1 33.500 (37.453)	Prec@5 65.000 (68.312)
Epoch: [15][4690/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.5655 (2.5631)	Prec@1 31.000 (37.453)	Prec@5 66.500 (68.308)
Epoch: [15][4700/9018]	Time 0.731 (0.616)	Data 0.001 (0.001)	Loss 2.6222 (2.5632)	Prec@1 40.500 (37.454)	Prec@5 66.000 (68.309)
Epoch: [15][4710/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5232 (2.5629)	Prec@1 34.000 (37.457)	Prec@5 66.500 (68.315)
Epoch: [15][4720/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.3517 (2.5629)	Prec@1 43.000 (37.459)	Prec@5 73.000 (68.316)
Epoch: [15][4730/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.2616 (2.5630)	Prec@1 46.000 (37.457)	Prec@5 74.000 (68.313)
Epoch: [15][4740/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.3323 (2.5629)	Prec@1 42.000 (37.457)	Prec@5 75.500 (68.314)
Epoch: [15][4750/9018]	Time 0.747 (0.616)	Data 0.001 (0.001)	Loss 2.5069 (2.5629)	Prec@1 36.000 (37.455)	Prec@5 73.000 (68.314)
Epoch: [15][4760/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.7788 (2.5631)	Prec@1 31.500 (37.452)	Prec@5 61.500 (68.312)
Epoch: [15][4770/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.5402 (2.5632)	Prec@1 39.000 (37.452)	Prec@5 66.500 (68.311)
Epoch: [15][4780/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.8047 (2.5632)	Prec@1 36.500 (37.451)	Prec@5 63.500 (68.309)
Epoch: [15][4790/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.4933 (2.5632)	Prec@1 39.000 (37.452)	Prec@5 70.000 (68.311)
Epoch: [15][4800/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.6460 (2.5632)	Prec@1 32.500 (37.454)	Prec@5 64.000 (68.310)
Epoch: [15][4810/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.4815 (2.5633)	Prec@1 44.000 (37.454)	Prec@5 69.000 (68.306)
Epoch: [15][4820/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.4389 (2.5635)	Prec@1 40.500 (37.453)	Prec@5 75.000 (68.305)
Epoch: [15][4830/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.5774 (2.5635)	Prec@1 39.500 (37.453)	Prec@5 68.500 (68.304)
Epoch: [15][4840/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6305 (2.5634)	Prec@1 33.500 (37.454)	Prec@5 64.500 (68.302)
Epoch: [15][4850/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6922 (2.5635)	Prec@1 32.500 (37.451)	Prec@5 67.500 (68.302)
Epoch: [15][4860/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.6189 (2.5635)	Prec@1 32.500 (37.450)	Prec@5 65.500 (68.301)
Epoch: [15][4870/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.6600 (2.5635)	Prec@1 41.000 (37.452)	Prec@5 69.000 (68.301)
Epoch: [15][4880/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.5639 (2.5634)	Prec@1 41.000 (37.456)	Prec@5 68.000 (68.303)
Epoch: [15][4890/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.7142 (2.5636)	Prec@1 31.000 (37.455)	Prec@5 64.000 (68.301)
Epoch: [15][4900/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.4613 (2.5634)	Prec@1 42.500 (37.459)	Prec@5 71.000 (68.304)
Epoch: [15][4910/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.7220 (2.5636)	Prec@1 37.500 (37.456)	Prec@5 63.500 (68.300)
Epoch: [15][4920/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.4966 (2.5636)	Prec@1 36.500 (37.456)	Prec@5 71.500 (68.299)
Epoch: [15][4930/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.3084 (2.5636)	Prec@1 43.500 (37.453)	Prec@5 72.500 (68.298)
Epoch: [15][4940/9018]	Time 0.635 (0.616)	Data 0.001 (0.001)	Loss 2.5206 (2.5636)	Prec@1 36.000 (37.453)	Prec@5 72.500 (68.300)
Epoch: [15][4950/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.6967 (2.5636)	Prec@1 36.500 (37.449)	Prec@5 66.000 (68.298)
Epoch: [15][4960/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.3469 (2.5636)	Prec@1 43.000 (37.448)	Prec@5 74.000 (68.297)
Epoch: [15][4970/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.4515 (2.5635)	Prec@1 42.000 (37.452)	Prec@5 70.000 (68.299)
Epoch: [15][4980/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.6187 (2.5636)	Prec@1 38.500 (37.453)	Prec@5 64.000 (68.298)
Epoch: [15][4990/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.5365 (2.5636)	Prec@1 36.500 (37.453)	Prec@5 70.500 (68.296)
Epoch: [15][5000/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.5739 (2.5636)	Prec@1 36.500 (37.454)	Prec@5 65.000 (68.294)
Epoch: [15][5010/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6063 (2.5636)	Prec@1 40.000 (37.453)	Prec@5 65.500 (68.292)
Epoch: [15][5020/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.6574 (2.5636)	Prec@1 34.000 (37.451)	Prec@5 67.500 (68.295)
Epoch: [15][5030/9018]	Time 0.735 (0.616)	Data 0.001 (0.001)	Loss 2.3576 (2.5638)	Prec@1 41.000 (37.450)	Prec@5 74.000 (68.293)
Epoch: [15][5040/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.5936 (2.5637)	Prec@1 36.000 (37.449)	Prec@5 67.500 (68.293)
Epoch: [15][5050/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.4863 (2.5636)	Prec@1 39.500 (37.455)	Prec@5 67.500 (68.294)
Epoch: [15][5060/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.5165 (2.5636)	Prec@1 41.000 (37.455)	Prec@5 68.500 (68.296)
Epoch: [15][5070/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.5949 (2.5637)	Prec@1 35.000 (37.453)	Prec@5 67.500 (68.294)
Epoch: [15][5080/9018]	Time 0.733 (0.616)	Data 0.001 (0.001)	Loss 2.4224 (2.5638)	Prec@1 37.500 (37.452)	Prec@5 74.000 (68.295)
Epoch: [15][5090/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6871 (2.5638)	Prec@1 37.000 (37.450)	Prec@5 66.500 (68.296)
Epoch: [15][5100/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.5945 (2.5638)	Prec@1 37.000 (37.448)	Prec@5 68.000 (68.295)
Epoch: [15][5110/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.6799 (2.5638)	Prec@1 31.000 (37.448)	Prec@5 69.000 (68.292)
Epoch: [15][5120/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.6998 (2.5639)	Prec@1 30.500 (37.445)	Prec@5 64.000 (68.291)
Epoch: [15][5130/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.5756 (2.5638)	Prec@1 38.500 (37.448)	Prec@5 69.000 (68.293)
Epoch: [15][5140/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.4625 (2.5638)	Prec@1 44.000 (37.450)	Prec@5 72.000 (68.292)
Epoch: [15][5150/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.5069 (2.5637)	Prec@1 36.500 (37.450)	Prec@5 69.500 (68.292)
Epoch: [15][5160/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.5294 (2.5638)	Prec@1 38.500 (37.452)	Prec@5 65.500 (68.291)
Epoch: [15][5170/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6783 (2.5636)	Prec@1 36.500 (37.456)	Prec@5 72.500 (68.297)
Epoch: [15][5180/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.5324 (2.5636)	Prec@1 36.000 (37.457)	Prec@5 66.000 (68.296)
Epoch: [15][5190/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.9360 (2.5637)	Prec@1 31.000 (37.453)	Prec@5 63.000 (68.298)
Epoch: [15][5200/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.4909 (2.5637)	Prec@1 39.000 (37.454)	Prec@5 68.000 (68.299)
Epoch: [15][5210/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.5374 (2.5636)	Prec@1 41.500 (37.456)	Prec@5 68.500 (68.300)
Epoch: [15][5220/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.6337 (2.5636)	Prec@1 36.500 (37.456)	Prec@5 65.000 (68.299)
Epoch: [15][5230/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.5419 (2.5636)	Prec@1 38.000 (37.455)	Prec@5 71.500 (68.302)
Epoch: [15][5240/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6125 (2.5636)	Prec@1 34.000 (37.453)	Prec@5 68.500 (68.301)
Epoch: [15][5250/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.7233 (2.5638)	Prec@1 32.500 (37.449)	Prec@5 65.500 (68.298)
Epoch: [15][5260/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.6433 (2.5638)	Prec@1 37.000 (37.448)	Prec@5 64.500 (68.298)
Epoch: [15][5270/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.4738 (2.5638)	Prec@1 37.500 (37.447)	Prec@5 72.000 (68.299)
Epoch: [15][5280/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.5605 (2.5637)	Prec@1 39.000 (37.450)	Prec@5 69.000 (68.302)
Epoch: [15][5290/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.8521 (2.5638)	Prec@1 32.500 (37.449)	Prec@5 64.000 (68.302)
Epoch: [15][5300/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.5473 (2.5639)	Prec@1 36.000 (37.447)	Prec@5 69.500 (68.300)
Epoch: [15][5310/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.5890 (2.5640)	Prec@1 31.000 (37.442)	Prec@5 71.500 (68.298)
Epoch: [15][5320/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.6076 (2.5640)	Prec@1 38.500 (37.442)	Prec@5 68.000 (68.302)
Epoch: [15][5330/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.5772 (2.5640)	Prec@1 37.500 (37.441)	Prec@5 71.000 (68.301)
Epoch: [15][5340/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.6378 (2.5640)	Prec@1 37.000 (37.441)	Prec@5 63.500 (68.300)
Epoch: [15][5350/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.7372 (2.5640)	Prec@1 34.000 (37.440)	Prec@5 64.000 (68.301)
Epoch: [15][5360/9018]	Time 0.755 (0.616)	Data 0.001 (0.001)	Loss 2.6962 (2.5641)	Prec@1 36.000 (37.438)	Prec@5 64.500 (68.298)
Epoch: [15][5370/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.6896 (2.5641)	Prec@1 37.000 (37.439)	Prec@5 65.000 (68.299)
Epoch: [15][5380/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.4414 (2.5643)	Prec@1 39.000 (37.436)	Prec@5 71.000 (68.296)
Epoch: [15][5390/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.6227 (2.5644)	Prec@1 35.500 (37.434)	Prec@5 65.500 (68.294)
Epoch: [15][5400/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.5473 (2.5644)	Prec@1 39.500 (37.433)	Prec@5 69.500 (68.293)
Epoch: [15][5410/9018]	Time 0.738 (0.616)	Data 0.001 (0.001)	Loss 2.5265 (2.5645)	Prec@1 36.500 (37.432)	Prec@5 68.000 (68.290)
Epoch: [15][5420/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.5605 (2.5645)	Prec@1 35.000 (37.432)	Prec@5 69.500 (68.292)
Epoch: [15][5430/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.8599 (2.5648)	Prec@1 34.000 (37.430)	Prec@5 65.500 (68.287)
Epoch: [15][5440/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.6008 (2.5647)	Prec@1 38.000 (37.434)	Prec@5 65.000 (68.288)
Epoch: [15][5450/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.5199 (2.5646)	Prec@1 41.500 (37.436)	Prec@5 70.000 (68.291)
Epoch: [15][5460/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.4815 (2.5645)	Prec@1 38.500 (37.436)	Prec@5 71.000 (68.290)
Epoch: [15][5470/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.8399 (2.5646)	Prec@1 34.000 (37.437)	Prec@5 61.500 (68.290)
Epoch: [15][5480/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6176 (2.5646)	Prec@1 37.500 (37.436)	Prec@5 66.500 (68.291)
Epoch: [15][5490/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.5071 (2.5644)	Prec@1 38.000 (37.440)	Prec@5 71.000 (68.294)
Epoch: [15][5500/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.4742 (2.5644)	Prec@1 42.500 (37.440)	Prec@5 69.500 (68.296)
Epoch: [15][5510/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.7084 (2.5644)	Prec@1 35.500 (37.441)	Prec@5 62.000 (68.295)
Epoch: [15][5520/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6805 (2.5644)	Prec@1 38.000 (37.442)	Prec@5 65.000 (68.294)
Epoch: [15][5530/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.7130 (2.5645)	Prec@1 35.000 (37.438)	Prec@5 62.000 (68.292)
Epoch: [15][5540/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.6330 (2.5645)	Prec@1 34.000 (37.437)	Prec@5 67.000 (68.290)
Epoch: [15][5550/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.6061 (2.5646)	Prec@1 33.000 (37.436)	Prec@5 68.500 (68.290)
Epoch: [15][5560/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.4168 (2.5646)	Prec@1 36.000 (37.436)	Prec@5 72.500 (68.291)
Epoch: [15][5570/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5371 (2.5646)	Prec@1 35.000 (37.436)	Prec@5 72.000 (68.290)
Epoch: [15][5580/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.7103 (2.5648)	Prec@1 36.500 (37.435)	Prec@5 64.500 (68.288)
Epoch: [15][5590/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6088 (2.5648)	Prec@1 38.500 (37.436)	Prec@5 67.000 (68.285)
Epoch: [15][5600/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7167 (2.5648)	Prec@1 38.000 (37.437)	Prec@5 69.500 (68.286)
Epoch: [15][5610/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6615 (2.5648)	Prec@1 35.000 (37.437)	Prec@5 68.000 (68.286)
Epoch: [15][5620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2344 (2.5648)	Prec@1 46.500 (37.441)	Prec@5 72.000 (68.286)
Epoch: [15][5630/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5564 (2.5648)	Prec@1 34.500 (37.439)	Prec@5 70.000 (68.284)
Epoch: [15][5640/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.4051 (2.5649)	Prec@1 46.500 (37.440)	Prec@5 74.000 (68.285)
Epoch: [15][5650/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5416 (2.5648)	Prec@1 36.000 (37.440)	Prec@5 70.000 (68.285)
Epoch: [15][5660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4848 (2.5649)	Prec@1 36.500 (37.439)	Prec@5 68.500 (68.283)
Epoch: [15][5670/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7424 (2.5651)	Prec@1 33.500 (37.434)	Prec@5 61.500 (68.279)
Epoch: [15][5680/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6623 (2.5652)	Prec@1 40.500 (37.430)	Prec@5 65.500 (68.275)
Epoch: [15][5690/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.5347 (2.5652)	Prec@1 36.000 (37.430)	Prec@5 68.000 (68.274)
Epoch: [15][5700/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6793 (2.5655)	Prec@1 34.000 (37.427)	Prec@5 69.000 (68.272)
Epoch: [15][5710/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6119 (2.5654)	Prec@1 40.000 (37.429)	Prec@5 69.000 (68.273)
Epoch: [15][5720/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5402 (2.5655)	Prec@1 37.500 (37.430)	Prec@5 70.500 (68.274)
Epoch: [15][5730/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6556 (2.5654)	Prec@1 39.000 (37.432)	Prec@5 67.500 (68.274)
Epoch: [15][5740/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.7407 (2.5654)	Prec@1 33.500 (37.432)	Prec@5 64.500 (68.273)
Epoch: [15][5750/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7934 (2.5655)	Prec@1 33.500 (37.430)	Prec@5 65.000 (68.272)
Epoch: [15][5760/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5437 (2.5656)	Prec@1 36.500 (37.426)	Prec@5 70.500 (68.270)
Epoch: [15][5770/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4283 (2.5655)	Prec@1 46.000 (37.429)	Prec@5 71.000 (68.274)
Epoch: [15][5780/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5314 (2.5654)	Prec@1 41.500 (37.430)	Prec@5 66.500 (68.276)
Epoch: [15][5790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5809 (2.5654)	Prec@1 34.500 (37.429)	Prec@5 70.000 (68.277)
Epoch: [15][5800/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.3867 (2.5653)	Prec@1 41.000 (37.432)	Prec@5 74.000 (68.279)
Epoch: [15][5810/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5839 (2.5654)	Prec@1 36.500 (37.433)	Prec@5 72.000 (68.278)
Epoch: [15][5820/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5076 (2.5654)	Prec@1 40.000 (37.433)	Prec@5 72.000 (68.278)
Epoch: [15][5830/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.9383 (2.5656)	Prec@1 31.000 (37.430)	Prec@5 59.500 (68.276)
Epoch: [15][5840/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3943 (2.5657)	Prec@1 40.000 (37.430)	Prec@5 68.500 (68.273)
Epoch: [15][5850/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6702 (2.5658)	Prec@1 36.000 (37.428)	Prec@5 68.000 (68.272)
Epoch: [15][5860/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6803 (2.5659)	Prec@1 33.500 (37.426)	Prec@5 66.500 (68.270)
Epoch: [15][5870/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6588 (2.5659)	Prec@1 35.500 (37.427)	Prec@5 67.500 (68.270)
Epoch: [15][5880/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7345 (2.5659)	Prec@1 34.000 (37.427)	Prec@5 63.500 (68.271)
Epoch: [15][5890/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3355 (2.5657)	Prec@1 39.500 (37.429)	Prec@5 72.500 (68.274)
Epoch: [15][5900/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4687 (2.5657)	Prec@1 34.000 (37.431)	Prec@5 72.000 (68.276)
Epoch: [15][5910/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7481 (2.5657)	Prec@1 30.000 (37.428)	Prec@5 65.500 (68.275)
Epoch: [15][5920/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5729 (2.5656)	Prec@1 34.500 (37.431)	Prec@5 68.500 (68.276)
Epoch: [15][5930/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7366 (2.5656)	Prec@1 33.500 (37.432)	Prec@5 64.000 (68.275)
Epoch: [15][5940/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4909 (2.5656)	Prec@1 39.000 (37.435)	Prec@5 69.000 (68.275)
Epoch: [15][5950/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6025 (2.5656)	Prec@1 40.500 (37.436)	Prec@5 69.000 (68.276)
Epoch: [15][5960/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4554 (2.5657)	Prec@1 38.000 (37.435)	Prec@5 70.500 (68.274)
Epoch: [15][5970/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7027 (2.5658)	Prec@1 37.000 (37.431)	Prec@5 64.000 (68.271)
Epoch: [15][5980/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7748 (2.5659)	Prec@1 36.000 (37.429)	Prec@5 63.500 (68.268)
Epoch: [15][5990/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6761 (2.5660)	Prec@1 33.000 (37.426)	Prec@5 69.500 (68.269)
Epoch: [15][6000/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7780 (2.5660)	Prec@1 35.500 (37.427)	Prec@5 62.500 (68.268)
Epoch: [15][6010/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6273 (2.5660)	Prec@1 36.500 (37.428)	Prec@5 69.500 (68.269)
Epoch: [15][6020/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.5655 (2.5660)	Prec@1 37.000 (37.430)	Prec@5 65.500 (68.267)
Epoch: [15][6030/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2575 (2.5661)	Prec@1 40.500 (37.428)	Prec@5 74.500 (68.265)
Epoch: [15][6040/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6895 (2.5661)	Prec@1 33.000 (37.424)	Prec@5 65.000 (68.265)
Epoch: [15][6050/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6487 (2.5660)	Prec@1 33.500 (37.422)	Prec@5 66.500 (68.268)
Epoch: [15][6060/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5201 (2.5661)	Prec@1 36.500 (37.421)	Prec@5 67.000 (68.267)
Epoch: [15][6070/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.8003 (2.5661)	Prec@1 34.000 (37.419)	Prec@5 62.000 (68.264)
Epoch: [15][6080/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5971 (2.5662)	Prec@1 40.000 (37.418)	Prec@5 67.000 (68.261)
Epoch: [15][6090/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6155 (2.5661)	Prec@1 36.000 (37.418)	Prec@5 67.500 (68.264)
Epoch: [15][6100/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3704 (2.5661)	Prec@1 44.500 (37.418)	Prec@5 73.500 (68.265)
Epoch: [15][6110/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8683 (2.5661)	Prec@1 32.000 (37.416)	Prec@5 63.500 (68.266)
Epoch: [15][6120/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7176 (2.5660)	Prec@1 33.500 (37.418)	Prec@5 65.500 (68.269)
Epoch: [15][6130/9018]	Time 0.603 (0.615)	Data 0.002 (0.001)	Loss 2.9299 (2.5662)	Prec@1 30.000 (37.415)	Prec@5 61.500 (68.266)
Epoch: [15][6140/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6267 (2.5662)	Prec@1 42.000 (37.415)	Prec@5 68.500 (68.265)
Epoch: [15][6150/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6281 (2.5662)	Prec@1 39.000 (37.417)	Prec@5 67.000 (68.265)
Epoch: [15][6160/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4390 (2.5661)	Prec@1 38.000 (37.418)	Prec@5 75.000 (68.265)
Epoch: [15][6170/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5923 (2.5661)	Prec@1 37.500 (37.419)	Prec@5 66.000 (68.265)
Epoch: [15][6180/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.3985 (2.5660)	Prec@1 42.000 (37.420)	Prec@5 71.000 (68.267)
Epoch: [15][6190/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6260 (2.5661)	Prec@1 34.000 (37.418)	Prec@5 66.000 (68.266)
Epoch: [15][6200/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5140 (2.5660)	Prec@1 37.500 (37.418)	Prec@5 70.500 (68.267)
Epoch: [15][6210/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5903 (2.5661)	Prec@1 34.000 (37.417)	Prec@5 71.500 (68.267)
Epoch: [15][6220/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7711 (2.5660)	Prec@1 35.500 (37.419)	Prec@5 66.500 (68.268)
Epoch: [15][6230/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6655 (2.5661)	Prec@1 39.500 (37.420)	Prec@5 64.000 (68.265)
Epoch: [15][6240/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4709 (2.5662)	Prec@1 37.000 (37.418)	Prec@5 72.500 (68.265)
Epoch: [15][6250/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3081 (2.5662)	Prec@1 45.000 (37.416)	Prec@5 73.000 (68.264)
Epoch: [15][6260/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6834 (2.5662)	Prec@1 35.000 (37.416)	Prec@5 67.000 (68.263)
Epoch: [15][6270/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8943 (2.5663)	Prec@1 30.000 (37.414)	Prec@5 59.500 (68.262)
Epoch: [15][6280/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.2685 (2.5662)	Prec@1 45.000 (37.416)	Prec@5 73.000 (68.264)
Epoch: [15][6290/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6489 (2.5662)	Prec@1 36.000 (37.416)	Prec@5 64.000 (68.263)
Epoch: [15][6300/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4542 (2.5662)	Prec@1 37.000 (37.414)	Prec@5 69.000 (68.261)
Epoch: [15][6310/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5326 (2.5664)	Prec@1 38.000 (37.412)	Prec@5 70.500 (68.259)
Epoch: [15][6320/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6338 (2.5663)	Prec@1 38.000 (37.412)	Prec@5 68.500 (68.259)
Epoch: [15][6330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6359 (2.5664)	Prec@1 39.500 (37.411)	Prec@5 67.000 (68.258)
Epoch: [15][6340/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6454 (2.5665)	Prec@1 36.000 (37.411)	Prec@5 67.500 (68.257)
Epoch: [15][6350/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.5225 (2.5665)	Prec@1 36.000 (37.411)	Prec@5 69.500 (68.258)
Epoch: [15][6360/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5033 (2.5665)	Prec@1 39.000 (37.411)	Prec@5 70.000 (68.257)
Epoch: [15][6370/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4465 (2.5665)	Prec@1 42.000 (37.409)	Prec@5 68.500 (68.257)
Epoch: [15][6380/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6101 (2.5665)	Prec@1 37.500 (37.409)	Prec@5 65.000 (68.257)
Epoch: [15][6390/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7581 (2.5665)	Prec@1 37.000 (37.407)	Prec@5 63.000 (68.253)
Epoch: [15][6400/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.3834 (2.5665)	Prec@1 42.500 (37.410)	Prec@5 72.000 (68.255)
Epoch: [15][6410/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7668 (2.5665)	Prec@1 33.500 (37.410)	Prec@5 65.000 (68.254)
Epoch: [15][6420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5684 (2.5664)	Prec@1 34.500 (37.411)	Prec@5 68.000 (68.257)
Epoch: [15][6430/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4789 (2.5663)	Prec@1 40.000 (37.413)	Prec@5 69.500 (68.256)
Epoch: [15][6440/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8131 (2.5664)	Prec@1 32.000 (37.411)	Prec@5 64.500 (68.255)
Epoch: [15][6450/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7059 (2.5664)	Prec@1 35.000 (37.411)	Prec@5 66.500 (68.256)
Epoch: [15][6460/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8246 (2.5664)	Prec@1 29.500 (37.413)	Prec@5 65.500 (68.255)
Epoch: [15][6470/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3820 (2.5664)	Prec@1 39.000 (37.412)	Prec@5 74.000 (68.255)
Epoch: [15][6480/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6498 (2.5665)	Prec@1 38.500 (37.412)	Prec@5 66.000 (68.256)
Epoch: [15][6490/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7309 (2.5667)	Prec@1 38.500 (37.408)	Prec@5 63.500 (68.252)
Epoch: [15][6500/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6986 (2.5667)	Prec@1 41.500 (37.407)	Prec@5 65.000 (68.251)
Epoch: [15][6510/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6235 (2.5668)	Prec@1 39.500 (37.408)	Prec@5 69.000 (68.250)
Epoch: [15][6520/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6330 (2.5668)	Prec@1 38.000 (37.408)	Prec@5 69.000 (68.249)
Epoch: [15][6530/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.4858 (2.5667)	Prec@1 39.000 (37.406)	Prec@5 70.500 (68.251)
Epoch: [15][6540/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6971 (2.5668)	Prec@1 39.500 (37.406)	Prec@5 61.500 (68.249)
Epoch: [15][6550/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6670 (2.5668)	Prec@1 36.500 (37.404)	Prec@5 64.000 (68.249)
Epoch: [15][6560/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4282 (2.5669)	Prec@1 42.000 (37.404)	Prec@5 72.500 (68.247)
Epoch: [15][6570/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8365 (2.5670)	Prec@1 32.500 (37.403)	Prec@5 62.500 (68.244)
Epoch: [15][6580/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4428 (2.5670)	Prec@1 36.500 (37.404)	Prec@5 72.000 (68.245)
Epoch: [15][6590/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5292 (2.5670)	Prec@1 36.000 (37.403)	Prec@5 70.000 (68.245)
Epoch: [15][6600/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6673 (2.5671)	Prec@1 36.000 (37.400)	Prec@5 63.000 (68.242)
Epoch: [15][6610/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3298 (2.5671)	Prec@1 44.000 (37.401)	Prec@5 71.000 (68.242)
Epoch: [15][6620/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5843 (2.5672)	Prec@1 39.500 (37.403)	Prec@5 66.500 (68.241)
Epoch: [15][6630/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6036 (2.5672)	Prec@1 36.500 (37.401)	Prec@5 68.500 (68.240)
Epoch: [15][6640/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5852 (2.5672)	Prec@1 37.500 (37.402)	Prec@5 67.500 (68.240)
Epoch: [15][6650/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6179 (2.5672)	Prec@1 38.500 (37.402)	Prec@5 67.500 (68.239)
Epoch: [15][6660/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7603 (2.5672)	Prec@1 34.500 (37.402)	Prec@5 64.500 (68.239)
Epoch: [15][6670/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6005 (2.5673)	Prec@1 36.500 (37.398)	Prec@5 66.500 (68.237)
Epoch: [15][6680/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.5040 (2.5673)	Prec@1 39.000 (37.397)	Prec@5 68.000 (68.235)
Epoch: [15][6690/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3599 (2.5675)	Prec@1 39.500 (37.394)	Prec@5 70.000 (68.233)
Epoch: [15][6700/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6336 (2.5674)	Prec@1 35.500 (37.395)	Prec@5 66.500 (68.233)
Epoch: [15][6710/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7951 (2.5674)	Prec@1 38.500 (37.394)	Prec@5 67.000 (68.232)
Epoch: [15][6720/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5511 (2.5674)	Prec@1 36.000 (37.395)	Prec@5 70.000 (68.233)
Epoch: [15][6730/9018]	Time 0.767 (0.615)	Data 0.001 (0.001)	Loss 2.6779 (2.5674)	Prec@1 34.500 (37.392)	Prec@5 63.000 (68.233)
Epoch: [15][6740/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5865 (2.5673)	Prec@1 39.500 (37.394)	Prec@5 67.500 (68.234)
Epoch: [15][6750/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4065 (2.5673)	Prec@1 41.000 (37.393)	Prec@5 73.000 (68.234)
Epoch: [15][6760/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6899 (2.5674)	Prec@1 35.000 (37.391)	Prec@5 63.000 (68.233)
Epoch: [15][6770/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5432 (2.5675)	Prec@1 40.500 (37.391)	Prec@5 68.500 (68.230)
Epoch: [15][6780/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3728 (2.5674)	Prec@1 43.500 (37.391)	Prec@5 72.500 (68.230)
Epoch: [15][6790/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.8636 (2.5674)	Prec@1 31.000 (37.390)	Prec@5 59.000 (68.231)
Epoch: [15][6800/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5989 (2.5674)	Prec@1 38.000 (37.390)	Prec@5 68.000 (68.230)
Epoch: [15][6810/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6693 (2.5674)	Prec@1 34.500 (37.389)	Prec@5 68.500 (68.231)
Epoch: [15][6820/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6039 (2.5675)	Prec@1 38.500 (37.389)	Prec@5 66.500 (68.230)
Epoch: [15][6830/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5025 (2.5675)	Prec@1 38.000 (37.390)	Prec@5 71.500 (68.230)
Epoch: [15][6840/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3591 (2.5675)	Prec@1 40.000 (37.389)	Prec@5 71.000 (68.230)
Epoch: [15][6850/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4724 (2.5675)	Prec@1 37.500 (37.388)	Prec@5 70.500 (68.230)
Epoch: [15][6860/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5976 (2.5676)	Prec@1 37.500 (37.388)	Prec@5 68.000 (68.227)
Epoch: [15][6870/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6305 (2.5676)	Prec@1 39.000 (37.389)	Prec@5 66.000 (68.228)
Epoch: [15][6880/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5853 (2.5676)	Prec@1 39.000 (37.389)	Prec@5 68.500 (68.227)
Epoch: [15][6890/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6384 (2.5676)	Prec@1 35.500 (37.388)	Prec@5 64.500 (68.227)
Epoch: [15][6900/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4886 (2.5677)	Prec@1 43.000 (37.387)	Prec@5 70.000 (68.225)
Epoch: [15][6910/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4092 (2.5678)	Prec@1 37.000 (37.386)	Prec@5 69.000 (68.224)
Epoch: [15][6920/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5212 (2.5678)	Prec@1 37.500 (37.385)	Prec@5 70.500 (68.224)
Epoch: [15][6930/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4187 (2.5678)	Prec@1 36.000 (37.384)	Prec@5 71.000 (68.223)
Epoch: [15][6940/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7060 (2.5679)	Prec@1 34.500 (37.384)	Prec@5 61.500 (68.224)
Epoch: [15][6950/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5368 (2.5678)	Prec@1 40.000 (37.384)	Prec@5 68.000 (68.223)
Epoch: [15][6960/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5343 (2.5678)	Prec@1 39.000 (37.385)	Prec@5 70.000 (68.225)
Epoch: [15][6970/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4133 (2.5678)	Prec@1 36.000 (37.384)	Prec@5 75.500 (68.225)
Epoch: [15][6980/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3797 (2.5678)	Prec@1 42.000 (37.383)	Prec@5 69.500 (68.225)
Epoch: [15][6990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4016 (2.5678)	Prec@1 36.500 (37.383)	Prec@5 75.000 (68.227)
Epoch: [15][7000/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6719 (2.5677)	Prec@1 33.500 (37.383)	Prec@5 68.500 (68.228)
Epoch: [15][7010/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.8241 (2.5678)	Prec@1 36.000 (37.383)	Prec@5 65.000 (68.225)
Epoch: [15][7020/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.3804 (2.5678)	Prec@1 37.000 (37.382)	Prec@5 74.000 (68.226)
Epoch: [15][7030/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6475 (2.5679)	Prec@1 36.000 (37.377)	Prec@5 70.500 (68.224)
Epoch: [15][7040/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3878 (2.5679)	Prec@1 38.000 (37.375)	Prec@5 74.500 (68.224)
Epoch: [15][7050/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4094 (2.5678)	Prec@1 43.000 (37.377)	Prec@5 71.000 (68.224)
Epoch: [15][7060/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.2595 (2.5678)	Prec@1 42.500 (37.375)	Prec@5 74.000 (68.223)
Epoch: [15][7070/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5914 (2.5679)	Prec@1 35.500 (37.374)	Prec@5 66.500 (68.221)
Epoch: [15][7080/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6465 (2.5680)	Prec@1 33.000 (37.373)	Prec@5 70.000 (68.221)
Epoch: [15][7090/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6629 (2.5681)	Prec@1 36.000 (37.371)	Prec@5 68.000 (68.222)
Epoch: [15][7100/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.5239 (2.5682)	Prec@1 41.000 (37.369)	Prec@5 72.500 (68.221)
Epoch: [15][7110/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4860 (2.5681)	Prec@1 38.000 (37.371)	Prec@5 72.000 (68.221)
Epoch: [15][7120/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.4826 (2.5680)	Prec@1 39.000 (37.372)	Prec@5 73.500 (68.224)
Epoch: [15][7130/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8442 (2.5681)	Prec@1 32.000 (37.373)	Prec@5 65.000 (68.221)
Epoch: [15][7140/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6653 (2.5681)	Prec@1 37.500 (37.373)	Prec@5 65.500 (68.221)
Epoch: [15][7150/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5095 (2.5681)	Prec@1 38.000 (37.375)	Prec@5 71.000 (68.221)
Epoch: [15][7160/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6692 (2.5682)	Prec@1 35.500 (37.374)	Prec@5 67.500 (68.218)
Epoch: [15][7170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4561 (2.5682)	Prec@1 43.000 (37.375)	Prec@5 68.000 (68.219)
Epoch: [15][7180/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4905 (2.5682)	Prec@1 35.500 (37.375)	Prec@5 66.000 (68.217)
Epoch: [15][7190/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6096 (2.5683)	Prec@1 39.000 (37.374)	Prec@5 65.500 (68.216)
Epoch: [15][7200/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5247 (2.5683)	Prec@1 41.000 (37.375)	Prec@5 68.000 (68.216)
Epoch: [15][7210/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4643 (2.5682)	Prec@1 38.000 (37.375)	Prec@5 68.500 (68.218)
Epoch: [15][7220/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3887 (2.5681)	Prec@1 42.500 (37.377)	Prec@5 70.000 (68.221)
Epoch: [15][7230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2667 (2.5680)	Prec@1 42.000 (37.380)	Prec@5 79.500 (68.225)
Epoch: [15][7240/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.9030 (2.5680)	Prec@1 32.500 (37.379)	Prec@5 63.000 (68.223)
Epoch: [15][7250/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5286 (2.5681)	Prec@1 41.000 (37.376)	Prec@5 71.000 (68.222)
Epoch: [15][7260/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5269 (2.5682)	Prec@1 38.500 (37.377)	Prec@5 69.000 (68.221)
Epoch: [15][7270/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7975 (2.5683)	Prec@1 31.000 (37.374)	Prec@5 67.000 (68.220)
Epoch: [15][7280/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5937 (2.5683)	Prec@1 35.000 (37.373)	Prec@5 68.000 (68.221)
Epoch: [15][7290/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3664 (2.5683)	Prec@1 38.500 (37.375)	Prec@5 75.000 (68.222)
Epoch: [15][7300/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4611 (2.5683)	Prec@1 38.000 (37.374)	Prec@5 72.500 (68.222)
Epoch: [15][7310/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8551 (2.5683)	Prec@1 33.500 (37.375)	Prec@5 62.500 (68.221)
Epoch: [15][7320/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.8245 (2.5684)	Prec@1 34.000 (37.374)	Prec@5 60.500 (68.218)
Epoch: [15][7330/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5414 (2.5685)	Prec@1 36.500 (37.371)	Prec@5 66.000 (68.216)
Epoch: [15][7340/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.4856 (2.5686)	Prec@1 40.500 (37.371)	Prec@5 68.500 (68.215)
Epoch: [15][7350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6039 (2.5685)	Prec@1 37.000 (37.373)	Prec@5 70.500 (68.218)
Epoch: [15][7360/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7607 (2.5686)	Prec@1 32.000 (37.371)	Prec@5 65.000 (68.219)
Epoch: [15][7370/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4513 (2.5685)	Prec@1 43.500 (37.372)	Prec@5 68.500 (68.219)
Epoch: [15][7380/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5067 (2.5685)	Prec@1 44.500 (37.373)	Prec@5 69.500 (68.219)
Epoch: [15][7390/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.5174 (2.5685)	Prec@1 36.500 (37.372)	Prec@5 71.000 (68.221)
Epoch: [15][7400/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6190 (2.5685)	Prec@1 34.500 (37.371)	Prec@5 67.000 (68.224)
Epoch: [15][7410/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5170 (2.5685)	Prec@1 36.000 (37.371)	Prec@5 67.000 (68.222)
Epoch: [15][7420/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6637 (2.5686)	Prec@1 34.500 (37.371)	Prec@5 63.000 (68.220)
Epoch: [15][7430/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5603 (2.5686)	Prec@1 35.000 (37.372)	Prec@5 65.500 (68.221)
Epoch: [15][7440/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5827 (2.5686)	Prec@1 39.000 (37.370)	Prec@5 69.000 (68.222)
Epoch: [15][7450/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4794 (2.5686)	Prec@1 38.500 (37.369)	Prec@5 68.000 (68.221)
Epoch: [15][7460/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5560 (2.5686)	Prec@1 38.000 (37.369)	Prec@5 64.000 (68.221)
Epoch: [15][7470/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3515 (2.5686)	Prec@1 38.500 (37.369)	Prec@5 74.000 (68.221)
Epoch: [15][7480/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7214 (2.5686)	Prec@1 29.500 (37.368)	Prec@5 66.500 (68.219)
Epoch: [15][7490/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7505 (2.5686)	Prec@1 32.000 (37.368)	Prec@5 61.500 (68.219)
Epoch: [15][7500/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5082 (2.5686)	Prec@1 36.500 (37.368)	Prec@5 68.000 (68.217)
Epoch: [15][7510/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6026 (2.5686)	Prec@1 36.500 (37.371)	Prec@5 68.500 (68.220)
Epoch: [15][7520/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4985 (2.5685)	Prec@1 40.000 (37.372)	Prec@5 70.000 (68.222)
Epoch: [15][7530/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6861 (2.5686)	Prec@1 37.000 (37.371)	Prec@5 66.000 (68.220)
Epoch: [15][7540/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5222 (2.5687)	Prec@1 35.500 (37.368)	Prec@5 69.000 (68.218)
Epoch: [15][7550/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3803 (2.5686)	Prec@1 40.000 (37.370)	Prec@5 72.500 (68.220)
Epoch: [15][7560/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6615 (2.5687)	Prec@1 37.500 (37.369)	Prec@5 66.000 (68.220)
Epoch: [15][7570/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4066 (2.5687)	Prec@1 40.500 (37.368)	Prec@5 71.500 (68.218)
Epoch: [15][7580/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7832 (2.5688)	Prec@1 35.000 (37.367)	Prec@5 64.000 (68.217)
Epoch: [15][7590/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5967 (2.5689)	Prec@1 40.500 (37.366)	Prec@5 68.500 (68.215)
Epoch: [15][7600/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5899 (2.5688)	Prec@1 38.000 (37.369)	Prec@5 69.000 (68.216)
Epoch: [15][7610/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5829 (2.5688)	Prec@1 36.500 (37.370)	Prec@5 68.500 (68.214)
Epoch: [15][7620/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4786 (2.5688)	Prec@1 39.500 (37.370)	Prec@5 69.500 (68.215)
Epoch: [15][7630/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5997 (2.5689)	Prec@1 33.500 (37.367)	Prec@5 66.000 (68.214)
Epoch: [15][7640/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6297 (2.5689)	Prec@1 43.000 (37.369)	Prec@5 68.000 (68.214)
Epoch: [15][7650/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4053 (2.5689)	Prec@1 35.500 (37.368)	Prec@5 74.000 (68.214)
Epoch: [15][7660/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6479 (2.5689)	Prec@1 31.500 (37.368)	Prec@5 67.500 (68.215)
Epoch: [15][7670/9018]	Time 0.764 (0.615)	Data 0.001 (0.001)	Loss 2.6915 (2.5688)	Prec@1 38.500 (37.369)	Prec@5 69.000 (68.216)
Epoch: [15][7680/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4337 (2.5688)	Prec@1 46.500 (37.370)	Prec@5 71.500 (68.217)
Epoch: [15][7690/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5328 (2.5688)	Prec@1 40.000 (37.370)	Prec@5 68.000 (68.217)
Epoch: [15][7700/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5969 (2.5689)	Prec@1 37.500 (37.369)	Prec@5 66.500 (68.215)
Epoch: [15][7710/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5501 (2.5689)	Prec@1 38.000 (37.370)	Prec@5 68.000 (68.214)
Epoch: [15][7720/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.7321 (2.5690)	Prec@1 36.500 (37.369)	Prec@5 63.500 (68.211)
Epoch: [15][7730/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7164 (2.5692)	Prec@1 34.500 (37.369)	Prec@5 65.500 (68.207)
Epoch: [15][7740/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6275 (2.5691)	Prec@1 35.000 (37.369)	Prec@5 69.000 (68.208)
Epoch: [15][7750/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3142 (2.5691)	Prec@1 40.000 (37.370)	Prec@5 72.500 (68.209)
Epoch: [15][7760/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5628 (2.5691)	Prec@1 39.500 (37.370)	Prec@5 65.000 (68.209)
Epoch: [15][7770/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6483 (2.5691)	Prec@1 36.500 (37.370)	Prec@5 66.000 (68.209)
Epoch: [15][7780/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4684 (2.5691)	Prec@1 43.500 (37.371)	Prec@5 73.000 (68.207)
Epoch: [15][7790/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5534 (2.5691)	Prec@1 39.000 (37.370)	Prec@5 67.500 (68.206)
Epoch: [15][7800/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5204 (2.5692)	Prec@1 37.500 (37.369)	Prec@5 68.500 (68.203)
Epoch: [15][7810/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5383 (2.5692)	Prec@1 39.500 (37.369)	Prec@5 63.500 (68.203)
Epoch: [15][7820/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5242 (2.5692)	Prec@1 38.500 (37.370)	Prec@5 66.500 (68.203)
Epoch: [15][7830/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6623 (2.5692)	Prec@1 35.500 (37.369)	Prec@5 69.500 (68.203)
Epoch: [15][7840/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3150 (2.5691)	Prec@1 36.000 (37.369)	Prec@5 74.500 (68.204)
Epoch: [15][7850/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5462 (2.5692)	Prec@1 36.000 (37.366)	Prec@5 68.500 (68.203)
Epoch: [15][7860/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4792 (2.5693)	Prec@1 37.000 (37.364)	Prec@5 70.500 (68.201)
Epoch: [15][7870/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6201 (2.5693)	Prec@1 34.500 (37.365)	Prec@5 67.500 (68.202)
Epoch: [15][7880/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6819 (2.5693)	Prec@1 36.000 (37.364)	Prec@5 68.000 (68.202)
Epoch: [15][7890/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4783 (2.5693)	Prec@1 41.500 (37.365)	Prec@5 70.000 (68.202)
Epoch: [15][7900/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5920 (2.5693)	Prec@1 34.000 (37.365)	Prec@5 64.500 (68.202)
Epoch: [15][7910/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5072 (2.5693)	Prec@1 36.000 (37.364)	Prec@5 70.000 (68.202)
Epoch: [15][7920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6666 (2.5692)	Prec@1 38.000 (37.365)	Prec@5 67.500 (68.203)
Epoch: [15][7930/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.3065 (2.5692)	Prec@1 42.500 (37.364)	Prec@5 77.000 (68.203)
Epoch: [15][7940/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4623 (2.5694)	Prec@1 38.000 (37.364)	Prec@5 71.500 (68.201)
Epoch: [15][7950/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7998 (2.5694)	Prec@1 38.000 (37.365)	Prec@5 64.000 (68.200)
Epoch: [15][7960/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5745 (2.5694)	Prec@1 39.000 (37.364)	Prec@5 68.500 (68.200)
Epoch: [15][7970/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6249 (2.5693)	Prec@1 34.500 (37.366)	Prec@5 68.000 (68.203)
Epoch: [15][7980/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5257 (2.5694)	Prec@1 38.000 (37.365)	Prec@5 69.500 (68.203)
Epoch: [15][7990/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3923 (2.5694)	Prec@1 39.000 (37.363)	Prec@5 72.000 (68.201)
Epoch: [15][8000/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.5575 (2.5695)	Prec@1 34.500 (37.361)	Prec@5 69.000 (68.201)
Epoch: [15][8010/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7791 (2.5696)	Prec@1 31.500 (37.358)	Prec@5 65.500 (68.199)
Epoch: [15][8020/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3140 (2.5696)	Prec@1 41.000 (37.356)	Prec@5 73.500 (68.200)
Epoch: [15][8030/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5459 (2.5696)	Prec@1 39.500 (37.357)	Prec@5 67.500 (68.202)
Epoch: [15][8040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5428 (2.5697)	Prec@1 34.500 (37.356)	Prec@5 69.500 (68.200)
Epoch: [15][8050/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.3960 (2.5696)	Prec@1 41.000 (37.357)	Prec@5 71.000 (68.201)
Epoch: [15][8060/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5230 (2.5697)	Prec@1 36.000 (37.355)	Prec@5 72.500 (68.202)
Epoch: [15][8070/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5708 (2.5697)	Prec@1 37.000 (37.353)	Prec@5 65.500 (68.199)
Epoch: [15][8080/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5863 (2.5698)	Prec@1 37.500 (37.353)	Prec@5 68.500 (68.199)
Epoch: [15][8090/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6630 (2.5699)	Prec@1 32.500 (37.351)	Prec@5 67.000 (68.197)
Epoch: [15][8100/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6044 (2.5700)	Prec@1 30.500 (37.348)	Prec@5 66.500 (68.194)
Epoch: [15][8110/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6202 (2.5700)	Prec@1 37.000 (37.348)	Prec@5 64.500 (68.192)
Epoch: [15][8120/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6268 (2.5701)	Prec@1 34.500 (37.348)	Prec@5 63.000 (68.192)
Epoch: [15][8130/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4955 (2.5700)	Prec@1 37.000 (37.349)	Prec@5 66.000 (68.193)
Epoch: [15][8140/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5797 (2.5701)	Prec@1 35.500 (37.349)	Prec@5 68.500 (68.190)
Epoch: [15][8150/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3949 (2.5701)	Prec@1 44.500 (37.351)	Prec@5 73.000 (68.191)
Epoch: [15][8160/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7543 (2.5701)	Prec@1 37.500 (37.351)	Prec@5 64.500 (68.191)
Epoch: [15][8170/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8124 (2.5702)	Prec@1 33.000 (37.348)	Prec@5 65.000 (68.189)
Epoch: [15][8180/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6665 (2.5702)	Prec@1 32.000 (37.349)	Prec@5 64.500 (68.189)
Epoch: [15][8190/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5863 (2.5702)	Prec@1 33.000 (37.350)	Prec@5 69.500 (68.189)
Epoch: [15][8200/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1310 (2.5701)	Prec@1 45.000 (37.350)	Prec@5 75.000 (68.190)
Epoch: [15][8210/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5797 (2.5701)	Prec@1 34.500 (37.351)	Prec@5 69.000 (68.188)
Epoch: [15][8220/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7072 (2.5701)	Prec@1 34.500 (37.350)	Prec@5 67.000 (68.186)
Epoch: [15][8230/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.8311 (2.5702)	Prec@1 32.500 (37.347)	Prec@5 62.500 (68.184)
Epoch: [15][8240/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6959 (2.5703)	Prec@1 35.500 (37.348)	Prec@5 66.500 (68.184)
Epoch: [15][8250/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5661 (2.5704)	Prec@1 36.500 (37.347)	Prec@5 70.500 (68.183)
Epoch: [15][8260/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6276 (2.5704)	Prec@1 34.000 (37.345)	Prec@5 65.500 (68.181)
Epoch: [15][8270/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4172 (2.5704)	Prec@1 40.000 (37.345)	Prec@5 70.000 (68.183)
Epoch: [15][8280/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3797 (2.5704)	Prec@1 42.000 (37.347)	Prec@5 73.000 (68.182)
Epoch: [15][8290/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5181 (2.5704)	Prec@1 33.500 (37.347)	Prec@5 74.500 (68.183)
Epoch: [15][8300/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4478 (2.5703)	Prec@1 38.000 (37.347)	Prec@5 70.500 (68.183)
Epoch: [15][8310/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3726 (2.5704)	Prec@1 38.500 (37.347)	Prec@5 72.500 (68.182)
Epoch: [15][8320/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4086 (2.5704)	Prec@1 40.000 (37.346)	Prec@5 72.000 (68.183)
Epoch: [15][8330/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.3691 (2.5703)	Prec@1 44.000 (37.347)	Prec@5 72.500 (68.185)
Epoch: [15][8340/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6383 (2.5702)	Prec@1 32.000 (37.350)	Prec@5 69.500 (68.187)
Epoch: [15][8350/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6935 (2.5702)	Prec@1 33.500 (37.348)	Prec@5 61.000 (68.185)
Epoch: [15][8360/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4113 (2.5702)	Prec@1 40.000 (37.349)	Prec@5 68.000 (68.187)
Epoch: [15][8370/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.6619 (2.5701)	Prec@1 37.500 (37.350)	Prec@5 68.000 (68.190)
Epoch: [15][8380/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.5000 (2.5700)	Prec@1 40.000 (37.351)	Prec@5 70.000 (68.191)
Epoch: [15][8390/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5477 (2.5700)	Prec@1 40.500 (37.353)	Prec@5 66.500 (68.190)
Epoch: [15][8400/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7666 (2.5700)	Prec@1 31.000 (37.351)	Prec@5 64.000 (68.190)
Epoch: [15][8410/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7025 (2.5700)	Prec@1 34.000 (37.349)	Prec@5 66.500 (68.190)
Epoch: [15][8420/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5872 (2.5700)	Prec@1 34.500 (37.349)	Prec@5 67.500 (68.191)
Epoch: [15][8430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5931 (2.5700)	Prec@1 36.500 (37.349)	Prec@5 72.500 (68.191)
Epoch: [15][8440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5279 (2.5700)	Prec@1 42.000 (37.348)	Prec@5 68.500 (68.188)
Epoch: [15][8450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6463 (2.5700)	Prec@1 41.000 (37.348)	Prec@5 67.500 (68.188)
Epoch: [15][8460/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.8501 (2.5701)	Prec@1 32.500 (37.348)	Prec@5 64.000 (68.187)
Epoch: [15][8470/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5446 (2.5702)	Prec@1 35.000 (37.347)	Prec@5 69.000 (68.186)
Epoch: [15][8480/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5190 (2.5701)	Prec@1 38.500 (37.348)	Prec@5 68.500 (68.187)
Epoch: [15][8490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5214 (2.5702)	Prec@1 37.500 (37.345)	Prec@5 71.500 (68.186)
Epoch: [15][8500/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7306 (2.5702)	Prec@1 31.000 (37.344)	Prec@5 68.500 (68.187)
Epoch: [15][8510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5874 (2.5702)	Prec@1 39.500 (37.344)	Prec@5 67.500 (68.188)
Epoch: [15][8520/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4880 (2.5702)	Prec@1 41.500 (37.346)	Prec@5 69.500 (68.189)
Epoch: [15][8530/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4532 (2.5702)	Prec@1 37.500 (37.347)	Prec@5 70.000 (68.187)
Epoch: [15][8540/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.8812 (2.5702)	Prec@1 33.000 (37.347)	Prec@5 63.000 (68.187)
Epoch: [15][8550/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3599 (2.5703)	Prec@1 36.500 (37.346)	Prec@5 71.500 (68.185)
Epoch: [15][8560/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6970 (2.5703)	Prec@1 34.500 (37.347)	Prec@5 65.000 (68.184)
Epoch: [15][8570/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6969 (2.5703)	Prec@1 35.500 (37.346)	Prec@5 60.500 (68.183)
Epoch: [15][8580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4524 (2.5703)	Prec@1 40.000 (37.345)	Prec@5 72.500 (68.181)
Epoch: [15][8590/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5502 (2.5703)	Prec@1 38.000 (37.348)	Prec@5 65.500 (68.181)
Epoch: [15][8600/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5914 (2.5704)	Prec@1 38.000 (37.346)	Prec@5 70.000 (68.180)
Epoch: [15][8610/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5003 (2.5704)	Prec@1 40.500 (37.346)	Prec@5 67.500 (68.180)
Epoch: [15][8620/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5669 (2.5704)	Prec@1 33.500 (37.346)	Prec@5 69.000 (68.178)
Epoch: [15][8630/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.3380 (2.5703)	Prec@1 36.000 (37.348)	Prec@5 71.500 (68.180)
Epoch: [15][8640/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5270 (2.5703)	Prec@1 38.000 (37.347)	Prec@5 67.500 (68.178)
Epoch: [15][8650/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6820 (2.5703)	Prec@1 32.000 (37.347)	Prec@5 68.000 (68.177)
Epoch: [15][8660/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.7449 (2.5703)	Prec@1 36.000 (37.346)	Prec@5 65.000 (68.176)
Epoch: [15][8670/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7256 (2.5704)	Prec@1 35.500 (37.346)	Prec@5 63.500 (68.175)
Epoch: [15][8680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5540 (2.5705)	Prec@1 38.000 (37.346)	Prec@5 66.000 (68.173)
Epoch: [15][8690/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.4260 (2.5705)	Prec@1 37.500 (37.345)	Prec@5 72.000 (68.173)
Epoch: [15][8700/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.4770 (2.5704)	Prec@1 36.500 (37.346)	Prec@5 69.500 (68.175)
Epoch: [15][8710/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.5807 (2.5703)	Prec@1 36.500 (37.347)	Prec@5 67.500 (68.175)
Epoch: [15][8720/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5585 (2.5704)	Prec@1 39.500 (37.345)	Prec@5 68.500 (68.175)
Epoch: [15][8730/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3374 (2.5704)	Prec@1 39.500 (37.347)	Prec@5 73.000 (68.174)
Epoch: [15][8740/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5340 (2.5704)	Prec@1 42.500 (37.348)	Prec@5 65.500 (68.174)
Epoch: [15][8750/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6310 (2.5703)	Prec@1 40.000 (37.351)	Prec@5 67.500 (68.175)
Epoch: [15][8760/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6048 (2.5705)	Prec@1 37.500 (37.345)	Prec@5 63.500 (68.171)
Epoch: [15][8770/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6368 (2.5705)	Prec@1 38.500 (37.345)	Prec@5 68.000 (68.171)
Epoch: [15][8780/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5880 (2.5705)	Prec@1 37.000 (37.345)	Prec@5 69.500 (68.172)
Epoch: [15][8790/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5424 (2.5705)	Prec@1 35.500 (37.344)	Prec@5 63.000 (68.173)
Epoch: [15][8800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5970 (2.5705)	Prec@1 37.500 (37.345)	Prec@5 70.000 (68.173)
Epoch: [15][8810/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6027 (2.5704)	Prec@1 40.500 (37.346)	Prec@5 63.500 (68.174)
Epoch: [15][8820/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5443 (2.5704)	Prec@1 36.000 (37.347)	Prec@5 68.500 (68.175)
Epoch: [15][8830/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7758 (2.5705)	Prec@1 37.000 (37.346)	Prec@5 65.500 (68.173)
Epoch: [15][8840/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7272 (2.5705)	Prec@1 34.500 (37.345)	Prec@5 65.500 (68.173)
Epoch: [15][8850/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5498 (2.5705)	Prec@1 37.000 (37.345)	Prec@5 70.000 (68.172)
Epoch: [15][8860/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5050 (2.5706)	Prec@1 35.500 (37.344)	Prec@5 73.000 (68.173)
Epoch: [15][8870/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6645 (2.5705)	Prec@1 37.000 (37.344)	Prec@5 68.000 (68.174)
Epoch: [15][8880/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7926 (2.5705)	Prec@1 39.500 (37.345)	Prec@5 65.000 (68.175)
Epoch: [15][8890/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5534 (2.5705)	Prec@1 38.500 (37.344)	Prec@5 73.000 (68.176)
Epoch: [15][8900/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6335 (2.5706)	Prec@1 34.500 (37.343)	Prec@5 66.000 (68.173)
Epoch: [15][8910/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4239 (2.5706)	Prec@1 37.000 (37.343)	Prec@5 75.000 (68.174)
Epoch: [15][8920/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4273 (2.5706)	Prec@1 39.000 (37.344)	Prec@5 71.000 (68.175)
Epoch: [15][8930/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6010 (2.5706)	Prec@1 36.000 (37.343)	Prec@5 74.000 (68.175)
Epoch: [15][8940/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3940 (2.5706)	Prec@1 42.500 (37.342)	Prec@5 71.000 (68.176)
Epoch: [15][8950/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6764 (2.5705)	Prec@1 37.500 (37.344)	Prec@5 64.500 (68.177)
Epoch: [15][8960/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5845 (2.5706)	Prec@1 36.500 (37.345)	Prec@5 66.500 (68.176)
Epoch: [15][8970/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5729 (2.5706)	Prec@1 37.500 (37.344)	Prec@5 69.000 (68.175)
Epoch: [15][8980/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6704 (2.5707)	Prec@1 27.500 (37.342)	Prec@5 64.500 (68.172)
Epoch: [15][8990/9018]	Time 0.757 (0.615)	Data 0.001 (0.001)	Loss 2.7524 (2.5707)	Prec@1 34.000 (37.343)	Prec@5 68.500 (68.173)
Epoch: [15][9000/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5222 (2.5706)	Prec@1 35.000 (37.343)	Prec@5 65.500 (68.173)
Epoch: [15][9010/9018]	Time 0.601 (0.615)	Data 0.000 (0.001)	Loss 2.3477 (2.5706)	Prec@1 40.500 (37.344)	Prec@5 74.000 (68.175)
Test: [0/183]	Time 1.274 (1.274)	Loss 2.6972 (2.6972)	Prec@1 37.000 (37.000)	Prec@5 69.000 (69.000)
Test: [10/183]	Time 0.200 (0.314)	Loss 2.5118 (2.3142)	Prec@1 40.500 (41.045)	Prec@5 66.500 (74.091)
Test: [20/183]	Time 0.187 (0.255)	Loss 2.8222 (2.2584)	Prec@1 33.000 (42.048)	Prec@5 63.500 (75.143)
Test: [30/183]	Time 0.181 (0.236)	Loss 2.9093 (2.2677)	Prec@1 27.000 (41.629)	Prec@5 61.000 (74.984)
Test: [40/183]	Time 0.187 (0.226)	Loss 2.5755 (2.2251)	Prec@1 33.500 (43.049)	Prec@5 70.500 (75.293)
Test: [50/183]	Time 0.206 (0.221)	Loss 2.0431 (2.2223)	Prec@1 43.000 (43.461)	Prec@5 80.500 (75.039)
Test: [60/183]	Time 0.181 (0.216)	Loss 2.6502 (2.2847)	Prec@1 38.000 (41.795)	Prec@5 71.500 (74.057)
Test: [70/183]	Time 0.192 (0.212)	Loss 1.9543 (2.2817)	Prec@1 47.500 (41.549)	Prec@5 82.000 (74.444)
Test: [80/183]	Time 0.189 (0.211)	Loss 1.4905 (2.2637)	Prec@1 63.500 (42.000)	Prec@5 91.000 (74.796)
Test: [90/183]	Time 0.194 (0.209)	Loss 2.7881 (2.2715)	Prec@1 36.500 (41.824)	Prec@5 65.000 (74.676)
Test: [100/183]	Time 0.204 (0.207)	Loss 1.0085 (2.2832)	Prec@1 69.500 (41.634)	Prec@5 94.000 (74.465)
Test: [110/183]	Time 0.190 (0.208)	Loss 1.2151 (2.2743)	Prec@1 68.500 (41.878)	Prec@5 93.500 (74.541)
Test: [120/183]	Time 0.187 (0.206)	Loss 3.1358 (2.2862)	Prec@1 24.500 (41.264)	Prec@5 53.000 (74.302)
Test: [130/183]	Time 0.200 (0.206)	Loss 3.4173 (2.2978)	Prec@1 13.500 (40.969)	Prec@5 51.500 (74.237)
Test: [140/183]	Time 0.201 (0.205)	Loss 2.4070 (2.2930)	Prec@1 42.500 (41.106)	Prec@5 70.500 (74.379)
Test: [150/183]	Time 0.195 (0.205)	Loss 1.3501 (2.2812)	Prec@1 64.500 (41.457)	Prec@5 90.500 (74.566)
Test: [160/183]	Time 0.182 (0.204)	Loss 2.6678 (2.2775)	Prec@1 39.500 (41.860)	Prec@5 56.500 (74.497)
Test: [170/183]	Time 0.182 (0.203)	Loss 3.4019 (2.2996)	Prec@1 14.500 (41.471)	Prec@5 54.500 (74.050)
Test: [180/183]	Time 0.183 (0.203)	Loss 3.0133 (2.3141)	Prec@1 30.000 (41.262)	Prec@5 56.500 (73.738)
 * Prec@1 41.208 Prec@5 73.699
Epoch: [16][0/9018]	Time 2.946 (2.946)	Data 2.293 (2.293)	Loss 2.5414 (2.5414)	Prec@1 39.000 (39.000)	Prec@5 67.500 (67.500)
Epoch: [16][10/9018]	Time 0.594 (0.823)	Data 0.001 (0.209)	Loss 2.4336 (2.5756)	Prec@1 40.000 (36.818)	Prec@5 73.500 (68.182)
Epoch: [16][20/9018]	Time 0.598 (0.714)	Data 0.001 (0.110)	Loss 2.5359 (2.5447)	Prec@1 34.000 (37.024)	Prec@5 68.000 (68.881)
Epoch: [16][30/9018]	Time 0.617 (0.685)	Data 0.001 (0.075)	Loss 2.5687 (2.5396)	Prec@1 38.500 (37.613)	Prec@5 71.000 (68.952)
Epoch: [16][40/9018]	Time 0.637 (0.668)	Data 0.001 (0.057)	Loss 2.6252 (2.5322)	Prec@1 33.000 (37.915)	Prec@5 66.500 (68.927)
Epoch: [16][50/9018]	Time 0.587 (0.656)	Data 0.001 (0.046)	Loss 2.7258 (2.5512)	Prec@1 34.000 (37.794)	Prec@5 68.000 (68.608)
Epoch: [16][60/9018]	Time 0.607 (0.651)	Data 0.001 (0.038)	Loss 2.4075 (2.5514)	Prec@1 42.000 (38.189)	Prec@5 73.000 (68.631)
Epoch: [16][70/9018]	Time 0.727 (0.647)	Data 0.001 (0.033)	Loss 2.5541 (2.5472)	Prec@1 37.500 (38.204)	Prec@5 66.500 (68.697)
Epoch: [16][80/9018]	Time 0.625 (0.641)	Data 0.001 (0.029)	Loss 2.4599 (2.5559)	Prec@1 38.000 (38.142)	Prec@5 67.000 (68.556)
Epoch: [16][90/9018]	Time 0.597 (0.640)	Data 0.001 (0.026)	Loss 2.6196 (2.5581)	Prec@1 33.000 (38.121)	Prec@5 67.000 (68.489)
Epoch: [16][100/9018]	Time 0.613 (0.636)	Data 0.001 (0.023)	Loss 2.4032 (2.5523)	Prec@1 34.500 (38.079)	Prec@5 73.000 (68.624)
Epoch: [16][110/9018]	Time 0.609 (0.634)	Data 0.001 (0.021)	Loss 2.7045 (2.5514)	Prec@1 38.500 (38.153)	Prec@5 69.000 (68.613)
Epoch: [16][120/9018]	Time 0.730 (0.633)	Data 0.001 (0.020)	Loss 2.4700 (2.5528)	Prec@1 38.500 (38.103)	Prec@5 70.500 (68.620)
Epoch: [16][130/9018]	Time 0.607 (0.631)	Data 0.001 (0.018)	Loss 2.5062 (2.5536)	Prec@1 34.000 (38.011)	Prec@5 71.500 (68.729)
Epoch: [16][140/9018]	Time 0.632 (0.630)	Data 0.001 (0.017)	Loss 2.5146 (2.5514)	Prec@1 38.500 (38.032)	Prec@5 69.000 (68.734)
Epoch: [16][150/9018]	Time 0.622 (0.629)	Data 0.001 (0.016)	Loss 2.7064 (2.5517)	Prec@1 35.500 (38.073)	Prec@5 66.000 (68.798)
Epoch: [16][160/9018]	Time 0.600 (0.628)	Data 0.001 (0.015)	Loss 2.5632 (2.5569)	Prec@1 34.000 (37.944)	Prec@5 70.000 (68.699)
Epoch: [16][170/9018]	Time 0.605 (0.628)	Data 0.001 (0.014)	Loss 2.4593 (2.5561)	Prec@1 40.000 (37.968)	Prec@5 69.500 (68.711)
Epoch: [16][180/9018]	Time 0.615 (0.627)	Data 0.001 (0.013)	Loss 2.5573 (2.5540)	Prec@1 38.500 (38.028)	Prec@5 69.000 (68.740)
Epoch: [16][190/9018]	Time 0.595 (0.626)	Data 0.001 (0.013)	Loss 2.4249 (2.5534)	Prec@1 37.500 (38.003)	Prec@5 75.000 (68.793)
Epoch: [16][200/9018]	Time 0.601 (0.625)	Data 0.001 (0.012)	Loss 2.3534 (2.5559)	Prec@1 41.500 (37.913)	Prec@5 71.000 (68.736)
Epoch: [16][210/9018]	Time 0.601 (0.625)	Data 0.001 (0.012)	Loss 2.4766 (2.5563)	Prec@1 39.500 (37.874)	Prec@5 66.500 (68.746)
Epoch: [16][220/9018]	Time 0.618 (0.625)	Data 0.001 (0.011)	Loss 2.7661 (2.5532)	Prec@1 33.000 (37.930)	Prec@5 62.500 (68.790)
Epoch: [16][230/9018]	Time 0.605 (0.624)	Data 0.001 (0.011)	Loss 2.5209 (2.5536)	Prec@1 40.500 (37.896)	Prec@5 66.500 (68.755)
Epoch: [16][240/9018]	Time 0.591 (0.624)	Data 0.001 (0.010)	Loss 2.7230 (2.5547)	Prec@1 32.000 (37.896)	Prec@5 63.500 (68.707)
Epoch: [16][250/9018]	Time 0.607 (0.623)	Data 0.001 (0.010)	Loss 2.3780 (2.5509)	Prec@1 36.000 (37.916)	Prec@5 72.000 (68.737)
Epoch: [16][260/9018]	Time 0.600 (0.623)	Data 0.001 (0.010)	Loss 2.4121 (2.5498)	Prec@1 38.000 (37.923)	Prec@5 71.000 (68.782)
Epoch: [16][270/9018]	Time 0.598 (0.623)	Data 0.001 (0.009)	Loss 2.5516 (2.5491)	Prec@1 35.000 (37.910)	Prec@5 68.000 (68.792)
Epoch: [16][280/9018]	Time 0.599 (0.622)	Data 0.001 (0.009)	Loss 2.7887 (2.5501)	Prec@1 37.000 (37.890)	Prec@5 65.000 (68.737)
Epoch: [16][290/9018]	Time 0.591 (0.622)	Data 0.001 (0.009)	Loss 2.5371 (2.5526)	Prec@1 35.500 (37.833)	Prec@5 65.000 (68.691)
Epoch: [16][300/9018]	Time 0.601 (0.622)	Data 0.001 (0.008)	Loss 2.7671 (2.5531)	Prec@1 38.000 (37.877)	Prec@5 64.000 (68.656)
Epoch: [16][310/9018]	Time 0.599 (0.622)	Data 0.001 (0.008)	Loss 2.6179 (2.5549)	Prec@1 30.500 (37.801)	Prec@5 73.000 (68.666)
Epoch: [16][320/9018]	Time 0.601 (0.622)	Data 0.001 (0.008)	Loss 2.6749 (2.5570)	Prec@1 36.000 (37.755)	Prec@5 67.500 (68.595)
Epoch: [16][330/9018]	Time 0.628 (0.621)	Data 0.001 (0.008)	Loss 2.7100 (2.5575)	Prec@1 35.000 (37.748)	Prec@5 64.000 (68.591)
Epoch: [16][340/9018]	Time 0.591 (0.621)	Data 0.001 (0.007)	Loss 2.5340 (2.5590)	Prec@1 41.000 (37.751)	Prec@5 69.500 (68.585)
Epoch: [16][350/9018]	Time 0.613 (0.621)	Data 0.001 (0.007)	Loss 2.4155 (2.5590)	Prec@1 40.000 (37.701)	Prec@5 74.000 (68.610)
Epoch: [16][360/9018]	Time 0.607 (0.620)	Data 0.001 (0.007)	Loss 2.5170 (2.5564)	Prec@1 36.000 (37.723)	Prec@5 70.000 (68.651)
Epoch: [16][370/9018]	Time 0.628 (0.621)	Data 0.001 (0.007)	Loss 2.7287 (2.5553)	Prec@1 35.500 (37.733)	Prec@5 68.000 (68.673)
Epoch: [16][380/9018]	Time 0.596 (0.620)	Data 0.001 (0.007)	Loss 2.2458 (2.5533)	Prec@1 43.000 (37.773)	Prec@5 75.500 (68.714)
Epoch: [16][390/9018]	Time 0.601 (0.620)	Data 0.001 (0.007)	Loss 2.5465 (2.5559)	Prec@1 39.500 (37.744)	Prec@5 70.000 (68.652)
Epoch: [16][400/9018]	Time 0.747 (0.620)	Data 0.001 (0.006)	Loss 2.5927 (2.5544)	Prec@1 35.500 (37.779)	Prec@5 66.500 (68.661)
Epoch: [16][410/9018]	Time 0.621 (0.620)	Data 0.001 (0.006)	Loss 2.5950 (2.5551)	Prec@1 36.500 (37.768)	Prec@5 67.000 (68.619)
Epoch: [16][420/9018]	Time 0.592 (0.620)	Data 0.001 (0.006)	Loss 2.4695 (2.5546)	Prec@1 35.500 (37.742)	Prec@5 69.500 (68.624)
Epoch: [16][430/9018]	Time 0.602 (0.619)	Data 0.001 (0.006)	Loss 2.4440 (2.5546)	Prec@1 41.500 (37.738)	Prec@5 71.000 (68.633)
Epoch: [16][440/9018]	Time 0.600 (0.619)	Data 0.001 (0.006)	Loss 2.4729 (2.5532)	Prec@1 38.500 (37.770)	Prec@5 72.000 (68.667)
Epoch: [16][450/9018]	Time 0.731 (0.619)	Data 0.001 (0.006)	Loss 2.5761 (2.5527)	Prec@1 36.500 (37.788)	Prec@5 66.500 (68.659)
Epoch: [16][460/9018]	Time 0.607 (0.619)	Data 0.001 (0.006)	Loss 2.3462 (2.5522)	Prec@1 41.000 (37.778)	Prec@5 69.000 (68.662)
Epoch: [16][470/9018]	Time 0.596 (0.619)	Data 0.001 (0.006)	Loss 2.4770 (2.5512)	Prec@1 40.500 (37.807)	Prec@5 69.500 (68.672)
Epoch: [16][480/9018]	Time 0.608 (0.619)	Data 0.001 (0.006)	Loss 2.3663 (2.5507)	Prec@1 40.000 (37.822)	Prec@5 72.500 (68.663)
Epoch: [16][490/9018]	Time 0.597 (0.619)	Data 0.001 (0.005)	Loss 2.7217 (2.5509)	Prec@1 31.500 (37.793)	Prec@5 64.000 (68.653)
Epoch: [16][500/9018]	Time 0.634 (0.619)	Data 0.001 (0.005)	Loss 2.6231 (2.5515)	Prec@1 37.000 (37.752)	Prec@5 67.500 (68.628)
Epoch: [16][510/9018]	Time 0.610 (0.619)	Data 0.001 (0.005)	Loss 2.5028 (2.5510)	Prec@1 42.000 (37.764)	Prec@5 70.500 (68.623)
Epoch: [16][520/9018]	Time 0.613 (0.619)	Data 0.001 (0.005)	Loss 2.5287 (2.5512)	Prec@1 39.000 (37.754)	Prec@5 67.500 (68.621)
Epoch: [16][530/9018]	Time 0.602 (0.619)	Data 0.001 (0.005)	Loss 2.6815 (2.5505)	Prec@1 35.000 (37.757)	Prec@5 66.000 (68.654)
Epoch: [16][540/9018]	Time 0.599 (0.618)	Data 0.001 (0.005)	Loss 2.4935 (2.5515)	Prec@1 40.000 (37.750)	Prec@5 70.500 (68.636)
Epoch: [16][550/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 2.5849 (2.5510)	Prec@1 35.000 (37.740)	Prec@5 69.000 (68.637)
Epoch: [16][560/9018]	Time 0.611 (0.618)	Data 0.001 (0.005)	Loss 2.4459 (2.5511)	Prec@1 39.000 (37.730)	Prec@5 70.000 (68.614)
Epoch: [16][570/9018]	Time 0.596 (0.618)	Data 0.001 (0.005)	Loss 2.4255 (2.5513)	Prec@1 43.500 (37.712)	Prec@5 75.500 (68.611)
Epoch: [16][580/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 2.4837 (2.5507)	Prec@1 39.000 (37.735)	Prec@5 72.000 (68.626)
Epoch: [16][590/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.5221 (2.5502)	Prec@1 37.500 (37.744)	Prec@5 68.500 (68.635)
Epoch: [16][600/9018]	Time 0.596 (0.618)	Data 0.001 (0.005)	Loss 2.4155 (2.5502)	Prec@1 40.500 (37.748)	Prec@5 72.500 (68.645)
Epoch: [16][610/9018]	Time 0.612 (0.618)	Data 0.001 (0.005)	Loss 2.4615 (2.5507)	Prec@1 40.500 (37.727)	Prec@5 71.000 (68.631)
Epoch: [16][620/9018]	Time 0.592 (0.618)	Data 0.001 (0.004)	Loss 2.7816 (2.5514)	Prec@1 33.500 (37.711)	Prec@5 60.000 (68.628)
Epoch: [16][630/9018]	Time 0.623 (0.618)	Data 0.001 (0.004)	Loss 2.4280 (2.5509)	Prec@1 41.000 (37.709)	Prec@5 72.500 (68.641)
Epoch: [16][640/9018]	Time 0.601 (0.617)	Data 0.003 (0.004)	Loss 2.4857 (2.5508)	Prec@1 39.000 (37.704)	Prec@5 70.500 (68.647)
Epoch: [16][650/9018]	Time 0.625 (0.618)	Data 0.001 (0.004)	Loss 2.4814 (2.5509)	Prec@1 42.500 (37.711)	Prec@5 72.000 (68.664)
Epoch: [16][660/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.3767 (2.5503)	Prec@1 41.000 (37.744)	Prec@5 67.500 (68.667)
Epoch: [16][670/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 2.5906 (2.5512)	Prec@1 38.000 (37.738)	Prec@5 69.000 (68.655)
Epoch: [16][680/9018]	Time 0.620 (0.617)	Data 0.001 (0.004)	Loss 2.4092 (2.5502)	Prec@1 39.000 (37.749)	Prec@5 72.500 (68.673)
Epoch: [16][690/9018]	Time 0.627 (0.617)	Data 0.001 (0.004)	Loss 2.6562 (2.5502)	Prec@1 38.000 (37.751)	Prec@5 64.000 (68.659)
Epoch: [16][700/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.6766 (2.5505)	Prec@1 38.000 (37.760)	Prec@5 68.000 (68.637)
Epoch: [16][710/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.3961 (2.5500)	Prec@1 40.500 (37.766)	Prec@5 71.500 (68.641)
Epoch: [16][720/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.7152 (2.5497)	Prec@1 38.000 (37.783)	Prec@5 63.000 (68.648)
Epoch: [16][730/9018]	Time 0.716 (0.617)	Data 0.001 (0.004)	Loss 2.2718 (2.5497)	Prec@1 41.500 (37.780)	Prec@5 75.500 (68.650)
Epoch: [16][740/9018]	Time 0.611 (0.617)	Data 0.001 (0.004)	Loss 2.4742 (2.5494)	Prec@1 40.500 (37.777)	Prec@5 67.500 (68.655)
Epoch: [16][750/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.5213 (2.5495)	Prec@1 36.000 (37.782)	Prec@5 68.000 (68.658)
Epoch: [16][760/9018]	Time 0.609 (0.617)	Data 0.001 (0.004)	Loss 2.6382 (2.5508)	Prec@1 36.500 (37.767)	Prec@5 67.000 (68.633)
Epoch: [16][770/9018]	Time 0.612 (0.617)	Data 0.001 (0.004)	Loss 2.7990 (2.5512)	Prec@1 36.000 (37.746)	Prec@5 63.000 (68.636)
Epoch: [16][780/9018]	Time 0.745 (0.617)	Data 0.001 (0.004)	Loss 2.5200 (2.5514)	Prec@1 34.000 (37.747)	Prec@5 70.500 (68.625)
Epoch: [16][790/9018]	Time 0.631 (0.617)	Data 0.001 (0.004)	Loss 2.2698 (2.5509)	Prec@1 42.000 (37.754)	Prec@5 74.500 (68.628)
Epoch: [16][800/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.4188 (2.5509)	Prec@1 42.000 (37.758)	Prec@5 71.000 (68.634)
Epoch: [16][810/9018]	Time 0.592 (0.617)	Data 0.001 (0.004)	Loss 2.4423 (2.5509)	Prec@1 40.000 (37.758)	Prec@5 68.000 (68.625)
Epoch: [16][820/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.5098 (2.5518)	Prec@1 40.500 (37.741)	Prec@5 72.000 (68.611)
Epoch: [16][830/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.5465 (2.5523)	Prec@1 38.000 (37.716)	Prec@5 70.000 (68.590)
Epoch: [16][840/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.6430 (2.5519)	Prec@1 39.500 (37.727)	Prec@5 65.500 (68.608)
Epoch: [16][850/9018]	Time 0.617 (0.617)	Data 0.001 (0.003)	Loss 2.7870 (2.5531)	Prec@1 33.000 (37.698)	Prec@5 60.000 (68.573)
Epoch: [16][860/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.5794 (2.5528)	Prec@1 38.500 (37.695)	Prec@5 66.000 (68.582)
Epoch: [16][870/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.4760 (2.5528)	Prec@1 35.500 (37.700)	Prec@5 71.000 (68.584)
Epoch: [16][880/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.5426 (2.5532)	Prec@1 39.500 (37.675)	Prec@5 69.500 (68.585)
Epoch: [16][890/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 2.7021 (2.5538)	Prec@1 35.500 (37.663)	Prec@5 67.000 (68.575)
Epoch: [16][900/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.4445 (2.5534)	Prec@1 39.000 (37.664)	Prec@5 71.500 (68.572)
Epoch: [16][910/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.7756 (2.5530)	Prec@1 35.500 (37.676)	Prec@5 67.500 (68.573)
Epoch: [16][920/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.4303 (2.5537)	Prec@1 40.500 (37.669)	Prec@5 70.000 (68.560)
Epoch: [16][930/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 2.7524 (2.5547)	Prec@1 36.500 (37.644)	Prec@5 62.500 (68.541)
Epoch: [16][940/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.5990 (2.5538)	Prec@1 37.000 (37.657)	Prec@5 67.000 (68.550)
Epoch: [16][950/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.5746 (2.5533)	Prec@1 38.500 (37.661)	Prec@5 67.000 (68.560)
Epoch: [16][960/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.6569 (2.5528)	Prec@1 34.000 (37.663)	Prec@5 68.000 (68.566)
Epoch: [16][970/9018]	Time 0.590 (0.616)	Data 0.001 (0.003)	Loss 2.6305 (2.5533)	Prec@1 36.000 (37.665)	Prec@5 68.500 (68.559)
Epoch: [16][980/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 2.5989 (2.5532)	Prec@1 40.000 (37.665)	Prec@5 67.500 (68.562)
Epoch: [16][990/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.5946 (2.5520)	Prec@1 38.500 (37.701)	Prec@5 67.500 (68.576)
Epoch: [16][1000/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.7717 (2.5527)	Prec@1 31.500 (37.679)	Prec@5 63.000 (68.555)
Epoch: [16][1010/9018]	Time 0.633 (0.616)	Data 0.001 (0.003)	Loss 2.3370 (2.5526)	Prec@1 41.500 (37.683)	Prec@5 73.500 (68.561)
Epoch: [16][1020/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.6845 (2.5527)	Prec@1 34.500 (37.678)	Prec@5 66.000 (68.555)
Epoch: [16][1030/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 2.6684 (2.5528)	Prec@1 36.000 (37.685)	Prec@5 67.000 (68.553)
Epoch: [16][1040/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 2.5054 (2.5534)	Prec@1 43.500 (37.686)	Prec@5 67.500 (68.545)
Epoch: [16][1050/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.6760 (2.5537)	Prec@1 36.500 (37.674)	Prec@5 68.500 (68.545)
Epoch: [16][1060/9018]	Time 0.726 (0.616)	Data 0.001 (0.003)	Loss 2.6739 (2.5538)	Prec@1 32.500 (37.674)	Prec@5 66.500 (68.541)
Epoch: [16][1070/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 2.4865 (2.5540)	Prec@1 41.500 (37.676)	Prec@5 68.500 (68.531)
Epoch: [16][1080/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.7359 (2.5543)	Prec@1 36.500 (37.674)	Prec@5 62.500 (68.531)
Epoch: [16][1090/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.5023 (2.5536)	Prec@1 38.000 (37.675)	Prec@5 70.000 (68.551)
Epoch: [16][1100/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 2.6287 (2.5532)	Prec@1 34.500 (37.685)	Prec@5 67.000 (68.556)
Epoch: [16][1110/9018]	Time 0.758 (0.616)	Data 0.001 (0.003)	Loss 2.3365 (2.5532)	Prec@1 38.000 (37.692)	Prec@5 73.500 (68.568)
Epoch: [16][1120/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.5527 (2.5530)	Prec@1 38.500 (37.698)	Prec@5 66.500 (68.571)
Epoch: [16][1130/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.3052 (2.5525)	Prec@1 42.500 (37.698)	Prec@5 74.500 (68.586)
Epoch: [16][1140/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.4050 (2.5525)	Prec@1 38.500 (37.690)	Prec@5 77.000 (68.593)
Epoch: [16][1150/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.6541 (2.5531)	Prec@1 35.000 (37.675)	Prec@5 67.500 (68.583)
Epoch: [16][1160/9018]	Time 0.630 (0.616)	Data 0.001 (0.003)	Loss 2.4696 (2.5528)	Prec@1 41.000 (37.677)	Prec@5 69.500 (68.594)
Epoch: [16][1170/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.6052 (2.5531)	Prec@1 31.500 (37.671)	Prec@5 70.500 (68.592)
Epoch: [16][1180/9018]	Time 0.625 (0.616)	Data 0.001 (0.003)	Loss 2.5299 (2.5528)	Prec@1 37.500 (37.670)	Prec@5 72.500 (68.601)
Epoch: [16][1190/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.4362 (2.5529)	Prec@1 43.500 (37.678)	Prec@5 70.000 (68.596)
Epoch: [16][1200/9018]	Time 0.622 (0.616)	Data 0.001 (0.003)	Loss 2.4634 (2.5528)	Prec@1 39.500 (37.685)	Prec@5 71.000 (68.600)
Epoch: [16][1210/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.8615 (2.5535)	Prec@1 32.500 (37.668)	Prec@5 63.500 (68.589)
Epoch: [16][1220/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.4746 (2.5542)	Prec@1 39.000 (37.657)	Prec@5 71.500 (68.574)
Epoch: [16][1230/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.6570 (2.5546)	Prec@1 36.000 (37.646)	Prec@5 63.500 (68.573)
Epoch: [16][1240/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 2.4402 (2.5545)	Prec@1 37.500 (37.645)	Prec@5 70.500 (68.584)
Epoch: [16][1250/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.4634 (2.5544)	Prec@1 41.000 (37.646)	Prec@5 69.000 (68.583)
Epoch: [16][1260/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.5449 (2.5540)	Prec@1 38.000 (37.643)	Prec@5 70.500 (68.597)
Epoch: [16][1270/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 2.7311 (2.5545)	Prec@1 36.500 (37.638)	Prec@5 67.500 (68.593)
Epoch: [16][1280/9018]	Time 0.630 (0.616)	Data 0.001 (0.003)	Loss 2.8198 (2.5549)	Prec@1 32.500 (37.632)	Prec@5 63.500 (68.582)
Epoch: [16][1290/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.6286 (2.5554)	Prec@1 33.500 (37.621)	Prec@5 66.000 (68.567)
Epoch: [16][1300/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.4605 (2.5556)	Prec@1 38.500 (37.614)	Prec@5 70.500 (68.551)
Epoch: [16][1310/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.7245 (2.5552)	Prec@1 30.500 (37.609)	Prec@5 69.500 (68.574)
Epoch: [16][1320/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 2.5152 (2.5548)	Prec@1 39.000 (37.614)	Prec@5 65.500 (68.581)
Epoch: [16][1330/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.4727 (2.5547)	Prec@1 37.000 (37.606)	Prec@5 76.500 (68.585)
Epoch: [16][1340/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.4985 (2.5546)	Prec@1 32.500 (37.604)	Prec@5 70.500 (68.580)
Epoch: [16][1350/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4301 (2.5551)	Prec@1 36.000 (37.597)	Prec@5 74.500 (68.564)
Epoch: [16][1360/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.5884 (2.5551)	Prec@1 37.500 (37.604)	Prec@5 66.000 (68.559)
Epoch: [16][1370/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7028 (2.5551)	Prec@1 34.500 (37.609)	Prec@5 66.000 (68.560)
Epoch: [16][1380/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.7667 (2.5555)	Prec@1 31.500 (37.600)	Prec@5 68.000 (68.556)
Epoch: [16][1390/9018]	Time 0.756 (0.616)	Data 0.001 (0.002)	Loss 2.5089 (2.5552)	Prec@1 37.500 (37.600)	Prec@5 68.500 (68.551)
Epoch: [16][1400/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.6551 (2.5555)	Prec@1 33.500 (37.590)	Prec@5 67.000 (68.553)
Epoch: [16][1410/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5627 (2.5549)	Prec@1 34.000 (37.596)	Prec@5 68.500 (68.565)
Epoch: [16][1420/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.5772 (2.5548)	Prec@1 35.000 (37.604)	Prec@5 69.500 (68.572)
Epoch: [16][1430/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6133 (2.5546)	Prec@1 37.500 (37.607)	Prec@5 67.000 (68.575)
Epoch: [16][1440/9018]	Time 0.722 (0.616)	Data 0.001 (0.002)	Loss 2.6125 (2.5543)	Prec@1 36.500 (37.610)	Prec@5 66.000 (68.578)
Epoch: [16][1450/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5666 (2.5540)	Prec@1 38.500 (37.618)	Prec@5 67.500 (68.581)
Epoch: [16][1460/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5704 (2.5537)	Prec@1 35.500 (37.617)	Prec@5 67.500 (68.589)
Epoch: [16][1470/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.4331 (2.5536)	Prec@1 34.500 (37.617)	Prec@5 70.000 (68.595)
Epoch: [16][1480/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.5522 (2.5536)	Prec@1 40.000 (37.617)	Prec@5 71.000 (68.596)
Epoch: [16][1490/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.5228 (2.5533)	Prec@1 40.500 (37.618)	Prec@5 73.500 (68.599)
Epoch: [16][1500/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.3759 (2.5538)	Prec@1 41.500 (37.608)	Prec@5 75.000 (68.586)
Epoch: [16][1510/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.7488 (2.5538)	Prec@1 35.000 (37.610)	Prec@5 66.000 (68.586)
Epoch: [16][1520/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.4409 (2.5541)	Prec@1 41.500 (37.606)	Prec@5 67.500 (68.573)
Epoch: [16][1530/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6375 (2.5539)	Prec@1 36.500 (37.617)	Prec@5 64.000 (68.571)
Epoch: [16][1540/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.5507 (2.5544)	Prec@1 33.000 (37.609)	Prec@5 69.000 (68.554)
Epoch: [16][1550/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.2955 (2.5538)	Prec@1 41.500 (37.625)	Prec@5 77.000 (68.565)
Epoch: [16][1560/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5071 (2.5532)	Prec@1 35.000 (37.640)	Prec@5 66.000 (68.576)
Epoch: [16][1570/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.5770 (2.5534)	Prec@1 39.000 (37.632)	Prec@5 68.000 (68.574)
Epoch: [16][1580/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.3760 (2.5539)	Prec@1 39.500 (37.622)	Prec@5 73.000 (68.568)
Epoch: [16][1590/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.3951 (2.5536)	Prec@1 41.000 (37.631)	Prec@5 74.500 (68.575)
Epoch: [16][1600/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.3768 (2.5536)	Prec@1 42.000 (37.631)	Prec@5 70.000 (68.572)
Epoch: [16][1610/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.4616 (2.5540)	Prec@1 37.000 (37.619)	Prec@5 68.500 (68.558)
Epoch: [16][1620/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.4568 (2.5542)	Prec@1 38.500 (37.611)	Prec@5 69.500 (68.559)
Epoch: [16][1630/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6458 (2.5547)	Prec@1 35.000 (37.600)	Prec@5 64.000 (68.549)
Epoch: [16][1640/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.7347 (2.5548)	Prec@1 33.500 (37.593)	Prec@5 62.500 (68.546)
Epoch: [16][1650/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.3890 (2.5546)	Prec@1 39.000 (37.594)	Prec@5 74.000 (68.553)
Epoch: [16][1660/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.6660 (2.5549)	Prec@1 36.500 (37.582)	Prec@5 66.000 (68.551)
Epoch: [16][1670/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.3249 (2.5545)	Prec@1 37.500 (37.592)	Prec@5 73.000 (68.568)
Epoch: [16][1680/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5629 (2.5547)	Prec@1 41.000 (37.589)	Prec@5 67.500 (68.567)
Epoch: [16][1690/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.7291 (2.5551)	Prec@1 35.000 (37.585)	Prec@5 67.000 (68.566)
Epoch: [16][1700/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.6200 (2.5549)	Prec@1 37.000 (37.588)	Prec@5 68.000 (68.578)
Epoch: [16][1710/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.4841 (2.5543)	Prec@1 38.500 (37.605)	Prec@5 72.000 (68.589)
Epoch: [16][1720/9018]	Time 0.752 (0.616)	Data 0.001 (0.002)	Loss 2.4784 (2.5543)	Prec@1 38.000 (37.607)	Prec@5 71.000 (68.591)
Epoch: [16][1730/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.6904 (2.5543)	Prec@1 32.000 (37.598)	Prec@5 65.000 (68.592)
Epoch: [16][1740/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.2672 (2.5543)	Prec@1 43.000 (37.603)	Prec@5 75.500 (68.598)
Epoch: [16][1750/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.7256 (2.5543)	Prec@1 32.000 (37.603)	Prec@5 64.500 (68.594)
Epoch: [16][1760/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.3966 (2.5543)	Prec@1 44.500 (37.606)	Prec@5 72.000 (68.598)
Epoch: [16][1770/9018]	Time 0.752 (0.616)	Data 0.003 (0.002)	Loss 2.5402 (2.5545)	Prec@1 36.000 (37.605)	Prec@5 70.000 (68.597)
Epoch: [16][1780/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 2.4405 (2.5547)	Prec@1 38.500 (37.600)	Prec@5 71.500 (68.592)
Epoch: [16][1790/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6626 (2.5555)	Prec@1 35.500 (37.592)	Prec@5 67.000 (68.576)
Epoch: [16][1800/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4683 (2.5555)	Prec@1 39.500 (37.593)	Prec@5 67.000 (68.572)
Epoch: [16][1810/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5725 (2.5554)	Prec@1 35.000 (37.595)	Prec@5 66.500 (68.570)
Epoch: [16][1820/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.5037 (2.5551)	Prec@1 38.500 (37.601)	Prec@5 72.500 (68.581)
Epoch: [16][1830/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.3746 (2.5546)	Prec@1 37.000 (37.615)	Prec@5 73.500 (68.587)
Epoch: [16][1840/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.4347 (2.5546)	Prec@1 39.000 (37.614)	Prec@5 70.500 (68.585)
Epoch: [16][1850/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.3318 (2.5549)	Prec@1 44.500 (37.609)	Prec@5 76.500 (68.580)
Epoch: [16][1860/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.6194 (2.5548)	Prec@1 41.500 (37.615)	Prec@5 66.000 (68.581)
Epoch: [16][1870/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.5800 (2.5548)	Prec@1 35.500 (37.615)	Prec@5 67.000 (68.577)
Epoch: [16][1880/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.6757 (2.5552)	Prec@1 33.000 (37.605)	Prec@5 64.500 (68.574)
Epoch: [16][1890/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.4700 (2.5552)	Prec@1 37.500 (37.602)	Prec@5 65.500 (68.569)
Epoch: [16][1900/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.7436 (2.5557)	Prec@1 37.000 (37.598)	Prec@5 61.500 (68.557)
Epoch: [16][1910/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4112 (2.5557)	Prec@1 39.500 (37.596)	Prec@5 71.500 (68.559)
Epoch: [16][1920/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5193 (2.5560)	Prec@1 37.500 (37.595)	Prec@5 71.500 (68.556)
Epoch: [16][1930/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.7563 (2.5563)	Prec@1 32.000 (37.590)	Prec@5 65.500 (68.559)
Epoch: [16][1940/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.7096 (2.5566)	Prec@1 38.000 (37.588)	Prec@5 67.000 (68.558)
Epoch: [16][1950/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.7813 (2.5569)	Prec@1 32.500 (37.581)	Prec@5 64.000 (68.553)
Epoch: [16][1960/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6439 (2.5568)	Prec@1 35.000 (37.580)	Prec@5 68.000 (68.558)
Epoch: [16][1970/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4967 (2.5565)	Prec@1 37.000 (37.580)	Prec@5 70.500 (68.561)
Epoch: [16][1980/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.5559 (2.5566)	Prec@1 43.000 (37.579)	Prec@5 71.500 (68.557)
Epoch: [16][1990/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3710 (2.5564)	Prec@1 42.000 (37.582)	Prec@5 75.000 (68.565)
Epoch: [16][2000/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.6219 (2.5566)	Prec@1 33.000 (37.575)	Prec@5 65.000 (68.563)
Epoch: [16][2010/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.5755 (2.5567)	Prec@1 36.500 (37.576)	Prec@5 69.000 (68.560)
Epoch: [16][2020/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.6798 (2.5567)	Prec@1 34.000 (37.577)	Prec@5 61.000 (68.558)
Epoch: [16][2030/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6021 (2.5570)	Prec@1 37.500 (37.576)	Prec@5 66.000 (68.548)
Epoch: [16][2040/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.6938 (2.5571)	Prec@1 36.500 (37.565)	Prec@5 63.000 (68.543)
Epoch: [16][2050/9018]	Time 0.732 (0.616)	Data 0.001 (0.002)	Loss 2.2439 (2.5572)	Prec@1 44.000 (37.559)	Prec@5 72.500 (68.538)
Epoch: [16][2060/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.6759 (2.5572)	Prec@1 38.500 (37.555)	Prec@5 65.000 (68.535)
Epoch: [16][2070/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4340 (2.5568)	Prec@1 41.500 (37.561)	Prec@5 71.000 (68.543)
Epoch: [16][2080/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.4843 (2.5568)	Prec@1 37.500 (37.562)	Prec@5 68.500 (68.539)
Epoch: [16][2090/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.6015 (2.5567)	Prec@1 35.000 (37.563)	Prec@5 65.500 (68.542)
Epoch: [16][2100/9018]	Time 0.747 (0.616)	Data 0.001 (0.002)	Loss 2.6222 (2.5569)	Prec@1 37.000 (37.560)	Prec@5 67.500 (68.542)
Epoch: [16][2110/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6407 (2.5569)	Prec@1 36.500 (37.557)	Prec@5 64.500 (68.541)
Epoch: [16][2120/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.6463 (2.5572)	Prec@1 36.000 (37.548)	Prec@5 68.500 (68.540)
Epoch: [16][2130/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.5012 (2.5571)	Prec@1 39.500 (37.550)	Prec@5 68.500 (68.538)
Epoch: [16][2140/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6356 (2.5571)	Prec@1 37.500 (37.548)	Prec@5 65.500 (68.535)
Epoch: [16][2150/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.3787 (2.5570)	Prec@1 38.500 (37.549)	Prec@5 71.000 (68.535)
Epoch: [16][2160/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4494 (2.5571)	Prec@1 36.500 (37.545)	Prec@5 69.500 (68.528)
Epoch: [16][2170/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5560 (2.5567)	Prec@1 33.000 (37.547)	Prec@5 65.500 (68.532)
Epoch: [16][2180/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7164 (2.5569)	Prec@1 34.000 (37.543)	Prec@5 65.000 (68.524)
Epoch: [16][2190/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.5641 (2.5569)	Prec@1 36.500 (37.548)	Prec@5 68.000 (68.525)
Epoch: [16][2200/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4833 (2.5570)	Prec@1 33.000 (37.541)	Prec@5 70.000 (68.521)
Epoch: [16][2210/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6223 (2.5567)	Prec@1 36.000 (37.546)	Prec@5 67.000 (68.524)
Epoch: [16][2220/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.7559 (2.5568)	Prec@1 34.000 (37.543)	Prec@5 66.500 (68.523)
Epoch: [16][2230/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.6100 (2.5572)	Prec@1 35.000 (37.538)	Prec@5 72.000 (68.522)
Epoch: [16][2240/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.2442 (2.5573)	Prec@1 43.000 (37.533)	Prec@5 75.000 (68.526)
Epoch: [16][2250/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5370 (2.5574)	Prec@1 34.500 (37.526)	Prec@5 70.000 (68.521)
Epoch: [16][2260/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.4767 (2.5573)	Prec@1 38.000 (37.531)	Prec@5 73.500 (68.522)
Epoch: [16][2270/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.7444 (2.5572)	Prec@1 31.000 (37.533)	Prec@5 65.500 (68.523)
Epoch: [16][2280/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.5741 (2.5571)	Prec@1 40.000 (37.536)	Prec@5 65.000 (68.521)
Epoch: [16][2290/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.5334 (2.5572)	Prec@1 39.000 (37.536)	Prec@5 68.500 (68.520)
Epoch: [16][2300/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.6774 (2.5569)	Prec@1 37.500 (37.544)	Prec@5 67.000 (68.529)
Epoch: [16][2310/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.3523 (2.5571)	Prec@1 40.500 (37.538)	Prec@5 74.500 (68.525)
Epoch: [16][2320/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.4459 (2.5571)	Prec@1 45.000 (37.536)	Prec@5 71.500 (68.525)
Epoch: [16][2330/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4828 (2.5571)	Prec@1 37.000 (37.536)	Prec@5 71.500 (68.526)
Epoch: [16][2340/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6073 (2.5573)	Prec@1 37.000 (37.537)	Prec@5 70.000 (68.525)
Epoch: [16][2350/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5084 (2.5574)	Prec@1 38.000 (37.539)	Prec@5 70.500 (68.526)
Epoch: [16][2360/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4197 (2.5573)	Prec@1 36.500 (37.542)	Prec@5 71.000 (68.524)
Epoch: [16][2370/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.3561 (2.5575)	Prec@1 43.500 (37.537)	Prec@5 71.500 (68.518)
Epoch: [16][2380/9018]	Time 0.736 (0.616)	Data 0.001 (0.002)	Loss 2.5216 (2.5573)	Prec@1 37.500 (37.545)	Prec@5 70.500 (68.520)
Epoch: [16][2390/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6168 (2.5576)	Prec@1 30.500 (37.536)	Prec@5 67.500 (68.514)
Epoch: [16][2400/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.6319 (2.5578)	Prec@1 35.500 (37.525)	Prec@5 68.000 (68.511)
Epoch: [16][2410/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4413 (2.5578)	Prec@1 43.500 (37.528)	Prec@5 69.500 (68.509)
Epoch: [16][2420/9018]	Time 0.639 (0.616)	Data 0.001 (0.002)	Loss 2.8224 (2.5580)	Prec@1 30.500 (37.524)	Prec@5 63.000 (68.505)
Epoch: [16][2430/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 2.5883 (2.5581)	Prec@1 36.500 (37.516)	Prec@5 66.500 (68.501)
Epoch: [16][2440/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2839 (2.5581)	Prec@1 40.000 (37.512)	Prec@5 74.500 (68.502)
Epoch: [16][2450/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5508 (2.5579)	Prec@1 40.000 (37.517)	Prec@5 68.500 (68.505)
Epoch: [16][2460/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5849 (2.5582)	Prec@1 36.500 (37.521)	Prec@5 67.500 (68.500)
Epoch: [16][2470/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.6393 (2.5584)	Prec@1 36.000 (37.517)	Prec@5 68.500 (68.499)
Epoch: [16][2480/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5748 (2.5586)	Prec@1 40.000 (37.512)	Prec@5 67.500 (68.493)
Epoch: [16][2490/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.2991 (2.5589)	Prec@1 44.500 (37.507)	Prec@5 74.000 (68.489)
Epoch: [16][2500/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.7038 (2.5588)	Prec@1 33.000 (37.506)	Prec@5 71.000 (68.493)
Epoch: [16][2510/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.4726 (2.5590)	Prec@1 39.000 (37.500)	Prec@5 69.000 (68.490)
Epoch: [16][2520/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.7570 (2.5589)	Prec@1 28.500 (37.498)	Prec@5 68.500 (68.494)
Epoch: [16][2530/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5147 (2.5588)	Prec@1 38.000 (37.496)	Prec@5 71.500 (68.494)
Epoch: [16][2540/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.6533 (2.5589)	Prec@1 34.000 (37.495)	Prec@5 69.500 (68.492)
Epoch: [16][2550/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.5512 (2.5590)	Prec@1 33.000 (37.489)	Prec@5 71.000 (68.489)
Epoch: [16][2560/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.5716 (2.5589)	Prec@1 43.500 (37.495)	Prec@5 67.500 (68.492)
Epoch: [16][2570/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.4899 (2.5585)	Prec@1 37.500 (37.499)	Prec@5 70.500 (68.496)
Epoch: [16][2580/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.5234 (2.5588)	Prec@1 40.000 (37.500)	Prec@5 67.500 (68.487)
Epoch: [16][2590/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6447 (2.5588)	Prec@1 37.000 (37.501)	Prec@5 68.000 (68.484)
Epoch: [16][2600/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.4815 (2.5587)	Prec@1 41.000 (37.513)	Prec@5 68.000 (68.488)
Epoch: [16][2610/9018]	Time 0.636 (0.615)	Data 0.001 (0.002)	Loss 2.6458 (2.5587)	Prec@1 35.000 (37.511)	Prec@5 69.000 (68.490)
Epoch: [16][2620/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.4801 (2.5588)	Prec@1 38.500 (37.515)	Prec@5 67.500 (68.485)
Epoch: [16][2630/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6185 (2.5588)	Prec@1 37.500 (37.514)	Prec@5 68.000 (68.485)
Epoch: [16][2640/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.4945 (2.5591)	Prec@1 39.500 (37.513)	Prec@5 66.500 (68.477)
Epoch: [16][2650/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.4735 (2.5591)	Prec@1 41.000 (37.509)	Prec@5 68.000 (68.479)
Epoch: [16][2660/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4575 (2.5590)	Prec@1 35.500 (37.506)	Prec@5 69.500 (68.478)
Epoch: [16][2670/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5902 (2.5592)	Prec@1 36.500 (37.501)	Prec@5 67.500 (68.474)
Epoch: [16][2680/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.5954 (2.5596)	Prec@1 36.000 (37.490)	Prec@5 69.500 (68.469)
Epoch: [16][2690/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5374 (2.5596)	Prec@1 35.000 (37.488)	Prec@5 72.000 (68.469)
Epoch: [16][2700/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4947 (2.5595)	Prec@1 41.000 (37.490)	Prec@5 69.000 (68.471)
Epoch: [16][2710/9018]	Time 0.705 (0.615)	Data 0.001 (0.002)	Loss 2.5930 (2.5596)	Prec@1 35.000 (37.488)	Prec@5 68.000 (68.470)
Epoch: [16][2720/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6350 (2.5600)	Prec@1 34.500 (37.480)	Prec@5 67.000 (68.462)
Epoch: [16][2730/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.6061 (2.5601)	Prec@1 39.500 (37.479)	Prec@5 67.000 (68.459)
Epoch: [16][2740/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7610 (2.5601)	Prec@1 33.000 (37.474)	Prec@5 66.500 (68.457)
Epoch: [16][2750/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6192 (2.5601)	Prec@1 40.000 (37.477)	Prec@5 68.500 (68.456)
Epoch: [16][2760/9018]	Time 0.736 (0.615)	Data 0.001 (0.002)	Loss 2.6506 (2.5602)	Prec@1 36.000 (37.472)	Prec@5 68.000 (68.460)
Epoch: [16][2770/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.6787 (2.5600)	Prec@1 38.500 (37.478)	Prec@5 68.500 (68.465)
Epoch: [16][2780/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.3070 (2.5599)	Prec@1 43.000 (37.479)	Prec@5 70.000 (68.463)
Epoch: [16][2790/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4720 (2.5599)	Prec@1 36.500 (37.481)	Prec@5 74.500 (68.464)
Epoch: [16][2800/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.5479 (2.5597)	Prec@1 37.500 (37.486)	Prec@5 69.500 (68.466)
Epoch: [16][2810/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7548 (2.5601)	Prec@1 31.500 (37.478)	Prec@5 66.000 (68.461)
Epoch: [16][2820/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.4680 (2.5600)	Prec@1 42.500 (37.483)	Prec@5 68.500 (68.460)
Epoch: [16][2830/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.3271 (2.5602)	Prec@1 39.500 (37.479)	Prec@5 71.500 (68.454)
Epoch: [16][2840/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.5519 (2.5605)	Prec@1 37.500 (37.479)	Prec@5 71.000 (68.453)
Epoch: [16][2850/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6072 (2.5603)	Prec@1 37.000 (37.481)	Prec@5 67.500 (68.458)
Epoch: [16][2860/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4778 (2.5603)	Prec@1 41.000 (37.483)	Prec@5 72.000 (68.459)
Epoch: [16][2870/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6089 (2.5602)	Prec@1 40.500 (37.486)	Prec@5 71.000 (68.463)
Epoch: [16][2880/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5573 (2.5602)	Prec@1 33.000 (37.481)	Prec@5 66.500 (68.464)
Epoch: [16][2890/9018]	Time 0.637 (0.615)	Data 0.001 (0.002)	Loss 2.4893 (2.5604)	Prec@1 42.500 (37.477)	Prec@5 70.500 (68.458)
Epoch: [16][2900/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5404 (2.5604)	Prec@1 38.000 (37.480)	Prec@5 67.500 (68.461)
Epoch: [16][2910/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6440 (2.5603)	Prec@1 35.000 (37.476)	Prec@5 69.000 (68.464)
Epoch: [16][2920/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.6073 (2.5601)	Prec@1 34.500 (37.474)	Prec@5 70.500 (68.469)
Epoch: [16][2930/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.6625 (2.5601)	Prec@1 32.000 (37.472)	Prec@5 69.500 (68.468)
Epoch: [16][2940/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.3477 (2.5599)	Prec@1 43.000 (37.475)	Prec@5 72.000 (68.473)
Epoch: [16][2950/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.7159 (2.5598)	Prec@1 36.000 (37.475)	Prec@5 66.000 (68.470)
Epoch: [16][2960/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7156 (2.5599)	Prec@1 38.500 (37.479)	Prec@5 68.500 (68.470)
Epoch: [16][2970/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.5206 (2.5599)	Prec@1 39.000 (37.478)	Prec@5 69.500 (68.470)
Epoch: [16][2980/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4718 (2.5600)	Prec@1 36.000 (37.476)	Prec@5 70.000 (68.466)
Epoch: [16][2990/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4842 (2.5602)	Prec@1 43.000 (37.469)	Prec@5 71.500 (68.460)
Epoch: [16][3000/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.4506 (2.5602)	Prec@1 37.500 (37.466)	Prec@5 70.000 (68.460)
Epoch: [16][3010/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.5912 (2.5602)	Prec@1 35.000 (37.466)	Prec@5 64.500 (68.456)
Epoch: [16][3020/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5511 (2.5599)	Prec@1 38.000 (37.471)	Prec@5 64.500 (68.456)
Epoch: [16][3030/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.3088 (2.5599)	Prec@1 40.000 (37.470)	Prec@5 76.500 (68.460)
Epoch: [16][3040/9018]	Time 0.734 (0.615)	Data 0.001 (0.002)	Loss 2.7120 (2.5600)	Prec@1 37.000 (37.472)	Prec@5 65.500 (68.460)
Epoch: [16][3050/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4604 (2.5601)	Prec@1 39.000 (37.470)	Prec@5 69.500 (68.459)
Epoch: [16][3060/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.7263 (2.5601)	Prec@1 35.000 (37.473)	Prec@5 67.000 (68.459)
Epoch: [16][3070/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.2538 (2.5599)	Prec@1 39.500 (37.479)	Prec@5 74.000 (68.462)
Epoch: [16][3080/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.5653 (2.5599)	Prec@1 38.500 (37.477)	Prec@5 69.000 (68.461)
Epoch: [16][3090/9018]	Time 0.714 (0.615)	Data 0.001 (0.002)	Loss 2.6741 (2.5603)	Prec@1 37.500 (37.471)	Prec@5 61.500 (68.451)
Epoch: [16][3100/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4921 (2.5603)	Prec@1 40.500 (37.468)	Prec@5 71.000 (68.453)
Epoch: [16][3110/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.3977 (2.5604)	Prec@1 42.500 (37.469)	Prec@5 72.000 (68.451)
Epoch: [16][3120/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.5891 (2.5607)	Prec@1 39.000 (37.467)	Prec@5 69.500 (68.448)
Epoch: [16][3130/9018]	Time 0.637 (0.615)	Data 0.001 (0.002)	Loss 2.3521 (2.5608)	Prec@1 41.500 (37.463)	Prec@5 73.000 (68.443)
Epoch: [16][3140/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4797 (2.5609)	Prec@1 39.000 (37.464)	Prec@5 70.500 (68.440)
Epoch: [16][3150/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3824 (2.5611)	Prec@1 44.500 (37.462)	Prec@5 69.500 (68.432)
Epoch: [16][3160/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4816 (2.5611)	Prec@1 41.000 (37.463)	Prec@5 68.500 (68.432)
Epoch: [16][3170/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5591 (2.5612)	Prec@1 33.500 (37.464)	Prec@5 68.500 (68.430)
Epoch: [16][3180/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4961 (2.5612)	Prec@1 36.500 (37.463)	Prec@5 72.000 (68.433)
Epoch: [16][3190/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5511 (2.5611)	Prec@1 41.000 (37.463)	Prec@5 67.000 (68.434)
Epoch: [16][3200/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3810 (2.5609)	Prec@1 42.000 (37.465)	Prec@5 73.500 (68.437)
Epoch: [16][3210/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5122 (2.5612)	Prec@1 42.000 (37.459)	Prec@5 68.000 (68.430)
Epoch: [16][3220/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6109 (2.5613)	Prec@1 41.500 (37.459)	Prec@5 67.000 (68.427)
Epoch: [16][3230/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4732 (2.5615)	Prec@1 36.000 (37.455)	Prec@5 73.000 (68.423)
Epoch: [16][3240/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7836 (2.5616)	Prec@1 33.500 (37.454)	Prec@5 67.000 (68.422)
Epoch: [16][3250/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6496 (2.5617)	Prec@1 38.000 (37.454)	Prec@5 71.000 (68.423)
Epoch: [16][3260/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.7125 (2.5616)	Prec@1 35.000 (37.458)	Prec@5 64.000 (68.427)
Epoch: [16][3270/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5079 (2.5615)	Prec@1 41.500 (37.462)	Prec@5 73.000 (68.430)
Epoch: [16][3280/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6881 (2.5616)	Prec@1 35.500 (37.460)	Prec@5 65.000 (68.428)
Epoch: [16][3290/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5723 (2.5616)	Prec@1 39.000 (37.463)	Prec@5 70.000 (68.430)
Epoch: [16][3300/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6018 (2.5618)	Prec@1 37.500 (37.457)	Prec@5 68.000 (68.427)
Epoch: [16][3310/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8039 (2.5619)	Prec@1 35.500 (37.456)	Prec@5 62.500 (68.425)
Epoch: [16][3320/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5678 (2.5620)	Prec@1 39.000 (37.452)	Prec@5 66.000 (68.427)
Epoch: [16][3330/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5781 (2.5619)	Prec@1 34.500 (37.456)	Prec@5 67.000 (68.427)
Epoch: [16][3340/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4683 (2.5620)	Prec@1 37.000 (37.452)	Prec@5 68.500 (68.426)
Epoch: [16][3350/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5667 (2.5621)	Prec@1 39.500 (37.449)	Prec@5 69.000 (68.425)
Epoch: [16][3360/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4682 (2.5622)	Prec@1 39.500 (37.449)	Prec@5 68.500 (68.424)
Epoch: [16][3370/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.6074 (2.5622)	Prec@1 35.500 (37.447)	Prec@5 68.000 (68.426)
Epoch: [16][3380/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.3880 (2.5621)	Prec@1 41.500 (37.452)	Prec@5 71.500 (68.428)
Epoch: [16][3390/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3894 (2.5621)	Prec@1 42.000 (37.453)	Prec@5 71.500 (68.427)
Epoch: [16][3400/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6668 (2.5621)	Prec@1 32.500 (37.452)	Prec@5 68.000 (68.429)
Epoch: [16][3410/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6902 (2.5622)	Prec@1 38.000 (37.454)	Prec@5 66.000 (68.426)
Epoch: [16][3420/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.6259 (2.5623)	Prec@1 35.500 (37.453)	Prec@5 68.500 (68.423)
Epoch: [16][3430/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5896 (2.5622)	Prec@1 38.000 (37.455)	Prec@5 67.000 (68.420)
Epoch: [16][3440/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5942 (2.5622)	Prec@1 39.000 (37.453)	Prec@5 67.000 (68.421)
Epoch: [16][3450/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4667 (2.5623)	Prec@1 39.500 (37.448)	Prec@5 71.500 (68.417)
Epoch: [16][3460/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4446 (2.5623)	Prec@1 42.000 (37.449)	Prec@5 67.000 (68.416)
Epoch: [16][3470/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6178 (2.5624)	Prec@1 33.000 (37.441)	Prec@5 69.000 (68.412)
Epoch: [16][3480/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.3825 (2.5622)	Prec@1 43.000 (37.445)	Prec@5 72.500 (68.414)
Epoch: [16][3490/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5179 (2.5624)	Prec@1 40.000 (37.444)	Prec@5 68.000 (68.408)
Epoch: [16][3500/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7149 (2.5627)	Prec@1 32.500 (37.439)	Prec@5 64.000 (68.401)
Epoch: [16][3510/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5622 (2.5627)	Prec@1 35.500 (37.439)	Prec@5 67.500 (68.403)
Epoch: [16][3520/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4962 (2.5628)	Prec@1 42.000 (37.437)	Prec@5 68.000 (68.405)
Epoch: [16][3530/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5477 (2.5626)	Prec@1 34.000 (37.441)	Prec@5 72.000 (68.408)
Epoch: [16][3540/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3536 (2.5625)	Prec@1 37.500 (37.442)	Prec@5 73.500 (68.408)
Epoch: [16][3550/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5140 (2.5625)	Prec@1 40.000 (37.444)	Prec@5 70.500 (68.407)
Epoch: [16][3560/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7620 (2.5624)	Prec@1 35.000 (37.443)	Prec@5 62.500 (68.406)
Epoch: [16][3570/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2952 (2.5621)	Prec@1 39.000 (37.447)	Prec@5 74.000 (68.411)
Epoch: [16][3580/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7540 (2.5622)	Prec@1 32.000 (37.445)	Prec@5 63.000 (68.409)
Epoch: [16][3590/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.8421 (2.5623)	Prec@1 34.000 (37.441)	Prec@5 65.500 (68.408)
Epoch: [16][3600/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5815 (2.5624)	Prec@1 38.000 (37.440)	Prec@5 66.000 (68.407)
Epoch: [16][3610/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4855 (2.5624)	Prec@1 39.000 (37.440)	Prec@5 69.500 (68.406)
Epoch: [16][3620/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6304 (2.5624)	Prec@1 35.500 (37.442)	Prec@5 66.500 (68.403)
Epoch: [16][3630/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6024 (2.5623)	Prec@1 32.500 (37.443)	Prec@5 64.500 (68.401)
Epoch: [16][3640/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7217 (2.5624)	Prec@1 36.500 (37.444)	Prec@5 65.500 (68.403)
Epoch: [16][3650/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4511 (2.5622)	Prec@1 36.000 (37.447)	Prec@5 67.500 (68.405)
Epoch: [16][3660/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6884 (2.5623)	Prec@1 39.000 (37.447)	Prec@5 69.500 (68.403)
Epoch: [16][3670/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.8085 (2.5624)	Prec@1 33.500 (37.446)	Prec@5 64.000 (68.403)
Epoch: [16][3680/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5827 (2.5625)	Prec@1 38.500 (37.442)	Prec@5 68.500 (68.403)
Epoch: [16][3690/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4745 (2.5624)	Prec@1 37.500 (37.441)	Prec@5 68.500 (68.405)
Epoch: [16][3700/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.5750 (2.5624)	Prec@1 38.500 (37.439)	Prec@5 67.000 (68.404)
Epoch: [16][3710/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5310 (2.5624)	Prec@1 36.500 (37.435)	Prec@5 71.000 (68.406)
Epoch: [16][3720/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5073 (2.5626)	Prec@1 35.000 (37.431)	Prec@5 71.000 (68.402)
Epoch: [16][3730/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7946 (2.5625)	Prec@1 31.500 (37.431)	Prec@5 67.000 (68.404)
Epoch: [16][3740/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6271 (2.5626)	Prec@1 34.000 (37.431)	Prec@5 66.000 (68.401)
Epoch: [16][3750/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.4080 (2.5627)	Prec@1 36.500 (37.427)	Prec@5 72.000 (68.397)
Epoch: [16][3760/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5382 (2.5628)	Prec@1 38.500 (37.428)	Prec@5 69.500 (68.395)
Epoch: [16][3770/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5388 (2.5628)	Prec@1 35.500 (37.428)	Prec@5 67.000 (68.394)
Epoch: [16][3780/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3895 (2.5628)	Prec@1 40.000 (37.424)	Prec@5 72.000 (68.390)
Epoch: [16][3790/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4453 (2.5626)	Prec@1 36.000 (37.426)	Prec@5 69.000 (68.394)
Epoch: [16][3800/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4981 (2.5626)	Prec@1 40.000 (37.426)	Prec@5 69.500 (68.396)
Epoch: [16][3810/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5211 (2.5628)	Prec@1 38.500 (37.425)	Prec@5 69.500 (68.393)
Epoch: [16][3820/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4699 (2.5625)	Prec@1 40.000 (37.430)	Prec@5 72.500 (68.398)
Epoch: [16][3830/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5302 (2.5625)	Prec@1 38.000 (37.427)	Prec@5 71.000 (68.400)
Epoch: [16][3840/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3873 (2.5626)	Prec@1 42.500 (37.427)	Prec@5 70.500 (68.396)
Epoch: [16][3850/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6579 (2.5626)	Prec@1 35.000 (37.428)	Prec@5 67.500 (68.395)
Epoch: [16][3860/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6283 (2.5626)	Prec@1 34.000 (37.430)	Prec@5 67.500 (68.399)
Epoch: [16][3870/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6478 (2.5627)	Prec@1 35.000 (37.429)	Prec@5 69.500 (68.397)
Epoch: [16][3880/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6014 (2.5627)	Prec@1 38.000 (37.431)	Prec@5 67.500 (68.398)
Epoch: [16][3890/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6087 (2.5629)	Prec@1 38.500 (37.430)	Prec@5 70.500 (68.396)
Epoch: [16][3900/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7699 (2.5628)	Prec@1 37.500 (37.430)	Prec@5 66.000 (68.396)
Epoch: [16][3910/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6531 (2.5629)	Prec@1 35.000 (37.425)	Prec@5 65.000 (68.396)
Epoch: [16][3920/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6211 (2.5630)	Prec@1 37.500 (37.424)	Prec@5 63.500 (68.392)
Epoch: [16][3930/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5555 (2.5630)	Prec@1 36.500 (37.423)	Prec@5 67.000 (68.393)
Epoch: [16][3940/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4693 (2.5629)	Prec@1 43.000 (37.425)	Prec@5 67.500 (68.390)
Epoch: [16][3950/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6067 (2.5629)	Prec@1 37.000 (37.422)	Prec@5 66.500 (68.389)
Epoch: [16][3960/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7129 (2.5629)	Prec@1 32.000 (37.420)	Prec@5 66.500 (68.390)
Epoch: [16][3970/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6574 (2.5630)	Prec@1 30.500 (37.420)	Prec@5 69.500 (68.389)
Epoch: [16][3980/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7818 (2.5631)	Prec@1 32.500 (37.415)	Prec@5 66.000 (68.389)
Epoch: [16][3990/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5832 (2.5630)	Prec@1 40.500 (37.418)	Prec@5 69.000 (68.391)
Epoch: [16][4000/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5654 (2.5630)	Prec@1 36.500 (37.415)	Prec@5 67.000 (68.391)
Epoch: [16][4010/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6646 (2.5631)	Prec@1 35.500 (37.417)	Prec@5 68.000 (68.392)
Epoch: [16][4020/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8196 (2.5631)	Prec@1 34.000 (37.415)	Prec@5 60.500 (68.392)
Epoch: [16][4030/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.5612 (2.5631)	Prec@1 37.500 (37.414)	Prec@5 66.500 (68.388)
Epoch: [16][4040/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6859 (2.5634)	Prec@1 36.000 (37.408)	Prec@5 65.000 (68.380)
Epoch: [16][4050/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4674 (2.5635)	Prec@1 36.000 (37.405)	Prec@5 69.500 (68.382)
Epoch: [16][4060/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6653 (2.5634)	Prec@1 36.000 (37.407)	Prec@5 66.000 (68.379)
Epoch: [16][4070/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4328 (2.5635)	Prec@1 42.000 (37.411)	Prec@5 70.500 (68.378)
Epoch: [16][4080/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.7197 (2.5636)	Prec@1 29.000 (37.407)	Prec@5 66.000 (68.377)
Epoch: [16][4090/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7202 (2.5637)	Prec@1 33.500 (37.408)	Prec@5 65.500 (68.373)
Epoch: [16][4100/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6166 (2.5637)	Prec@1 37.000 (37.406)	Prec@5 65.000 (68.369)
Epoch: [16][4110/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4663 (2.5637)	Prec@1 37.000 (37.407)	Prec@5 71.000 (68.369)
Epoch: [16][4120/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5943 (2.5638)	Prec@1 36.500 (37.407)	Prec@5 71.000 (68.366)
Epoch: [16][4130/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6560 (2.5640)	Prec@1 33.000 (37.400)	Prec@5 66.000 (68.363)
Epoch: [16][4140/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4096 (2.5640)	Prec@1 38.500 (37.400)	Prec@5 73.500 (68.364)
Epoch: [16][4150/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4289 (2.5639)	Prec@1 39.500 (37.402)	Prec@5 72.000 (68.366)
Epoch: [16][4160/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4935 (2.5638)	Prec@1 40.500 (37.404)	Prec@5 70.500 (68.371)
Epoch: [16][4170/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5262 (2.5639)	Prec@1 39.000 (37.404)	Prec@5 65.500 (68.367)
Epoch: [16][4180/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4131 (2.5637)	Prec@1 36.000 (37.403)	Prec@5 71.500 (68.370)
Epoch: [16][4190/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7524 (2.5640)	Prec@1 31.000 (37.396)	Prec@5 61.000 (68.364)
Epoch: [16][4200/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5640 (2.5639)	Prec@1 36.000 (37.398)	Prec@5 70.500 (68.366)
Epoch: [16][4210/9018]	Time 0.586 (0.615)	Data 0.001 (0.001)	Loss 2.3304 (2.5639)	Prec@1 39.500 (37.398)	Prec@5 76.500 (68.363)
Epoch: [16][4220/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6788 (2.5639)	Prec@1 33.500 (37.399)	Prec@5 68.000 (68.364)
Epoch: [16][4230/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5646 (2.5641)	Prec@1 41.000 (37.399)	Prec@5 70.500 (68.365)
Epoch: [16][4240/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6757 (2.5641)	Prec@1 30.000 (37.397)	Prec@5 66.500 (68.362)
Epoch: [16][4250/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5863 (2.5641)	Prec@1 34.500 (37.396)	Prec@5 68.000 (68.363)
Epoch: [16][4260/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5518 (2.5641)	Prec@1 37.500 (37.396)	Prec@5 67.500 (68.364)
Epoch: [16][4270/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8141 (2.5641)	Prec@1 33.500 (37.397)	Prec@5 63.000 (68.366)
Epoch: [16][4280/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6906 (2.5640)	Prec@1 35.000 (37.398)	Prec@5 62.500 (68.367)
Epoch: [16][4290/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4017 (2.5640)	Prec@1 38.500 (37.400)	Prec@5 72.000 (68.368)
Epoch: [16][4300/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4913 (2.5639)	Prec@1 40.000 (37.403)	Prec@5 68.000 (68.367)
Epoch: [16][4310/9018]	Time 0.786 (0.615)	Data 0.001 (0.001)	Loss 2.7759 (2.5639)	Prec@1 35.500 (37.404)	Prec@5 64.500 (68.367)
Epoch: [16][4320/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5559 (2.5640)	Prec@1 36.000 (37.403)	Prec@5 69.500 (68.368)
Epoch: [16][4330/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.2694 (2.5638)	Prec@1 45.000 (37.408)	Prec@5 72.500 (68.370)
Epoch: [16][4340/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4882 (2.5639)	Prec@1 40.000 (37.406)	Prec@5 68.500 (68.372)
Epoch: [16][4350/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5227 (2.5639)	Prec@1 35.000 (37.405)	Prec@5 69.500 (68.371)
Epoch: [16][4360/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.5024 (2.5639)	Prec@1 37.000 (37.407)	Prec@5 67.500 (68.369)
Epoch: [16][4370/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4819 (2.5640)	Prec@1 37.500 (37.406)	Prec@5 71.000 (68.366)
Epoch: [16][4380/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6170 (2.5640)	Prec@1 36.000 (37.407)	Prec@5 68.000 (68.366)
Epoch: [16][4390/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7535 (2.5640)	Prec@1 34.000 (37.409)	Prec@5 67.500 (68.365)
Epoch: [16][4400/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5420 (2.5640)	Prec@1 36.000 (37.408)	Prec@5 72.500 (68.366)
Epoch: [16][4410/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5363 (2.5641)	Prec@1 37.000 (37.405)	Prec@5 68.000 (68.362)
Epoch: [16][4420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4484 (2.5644)	Prec@1 33.000 (37.400)	Prec@5 70.500 (68.356)
Epoch: [16][4430/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5302 (2.5645)	Prec@1 41.000 (37.400)	Prec@5 70.500 (68.353)
Epoch: [16][4440/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5587 (2.5645)	Prec@1 39.500 (37.401)	Prec@5 69.500 (68.354)
Epoch: [16][4450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5930 (2.5644)	Prec@1 32.000 (37.400)	Prec@5 67.500 (68.354)
Epoch: [16][4460/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6350 (2.5644)	Prec@1 35.000 (37.398)	Prec@5 69.000 (68.355)
Epoch: [16][4470/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8351 (2.5643)	Prec@1 35.500 (37.401)	Prec@5 60.500 (68.358)
Epoch: [16][4480/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.8968 (2.5643)	Prec@1 33.500 (37.400)	Prec@5 60.000 (68.355)
Epoch: [16][4490/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4280 (2.5645)	Prec@1 37.500 (37.396)	Prec@5 73.500 (68.355)
Epoch: [16][4500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3867 (2.5643)	Prec@1 42.500 (37.402)	Prec@5 71.500 (68.357)
Epoch: [16][4510/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6337 (2.5646)	Prec@1 37.000 (37.396)	Prec@5 67.500 (68.351)
Epoch: [16][4520/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5798 (2.5645)	Prec@1 38.000 (37.397)	Prec@5 68.500 (68.353)
Epoch: [16][4530/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5104 (2.5645)	Prec@1 35.500 (37.396)	Prec@5 65.000 (68.354)
Epoch: [16][4540/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5575 (2.5644)	Prec@1 37.000 (37.399)	Prec@5 69.000 (68.356)
Epoch: [16][4550/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6246 (2.5645)	Prec@1 39.000 (37.398)	Prec@5 65.500 (68.354)
Epoch: [16][4560/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5418 (2.5644)	Prec@1 36.500 (37.398)	Prec@5 68.500 (68.355)
Epoch: [16][4570/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6576 (2.5644)	Prec@1 34.000 (37.400)	Prec@5 68.500 (68.352)
Epoch: [16][4580/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7576 (2.5645)	Prec@1 34.500 (37.398)	Prec@5 66.000 (68.352)
Epoch: [16][4590/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5684 (2.5645)	Prec@1 36.500 (37.397)	Prec@5 66.500 (68.350)
Epoch: [16][4600/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7107 (2.5645)	Prec@1 32.500 (37.395)	Prec@5 64.000 (68.350)
Epoch: [16][4610/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4452 (2.5646)	Prec@1 42.500 (37.395)	Prec@5 71.000 (68.346)
Epoch: [16][4620/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6574 (2.5645)	Prec@1 32.000 (37.397)	Prec@5 68.500 (68.348)
Epoch: [16][4630/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2274 (2.5643)	Prec@1 42.500 (37.399)	Prec@5 73.000 (68.352)
Epoch: [16][4640/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.6862 (2.5644)	Prec@1 35.000 (37.398)	Prec@5 66.500 (68.353)
Epoch: [16][4650/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8780 (2.5643)	Prec@1 28.000 (37.400)	Prec@5 59.500 (68.353)
Epoch: [16][4660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7510 (2.5644)	Prec@1 34.000 (37.397)	Prec@5 69.500 (68.353)
Epoch: [16][4670/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5727 (2.5645)	Prec@1 37.500 (37.396)	Prec@5 67.000 (68.352)
Epoch: [16][4680/9018]	Time 0.595 (0.615)	Data 0.003 (0.001)	Loss 2.6141 (2.5644)	Prec@1 34.000 (37.396)	Prec@5 67.000 (68.352)
Epoch: [16][4690/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.5907 (2.5644)	Prec@1 39.000 (37.397)	Prec@5 66.500 (68.352)
Epoch: [16][4700/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7380 (2.5643)	Prec@1 32.000 (37.396)	Prec@5 65.500 (68.353)
Epoch: [16][4710/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6056 (2.5643)	Prec@1 37.500 (37.398)	Prec@5 67.000 (68.353)
Epoch: [16][4720/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5439 (2.5643)	Prec@1 38.000 (37.397)	Prec@5 69.000 (68.352)
Epoch: [16][4730/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6377 (2.5644)	Prec@1 34.500 (37.396)	Prec@5 64.000 (68.350)
Epoch: [16][4740/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7823 (2.5645)	Prec@1 32.000 (37.396)	Prec@5 66.000 (68.347)
Epoch: [16][4750/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.1650 (2.5644)	Prec@1 50.000 (37.401)	Prec@5 72.000 (68.348)
Epoch: [16][4760/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7970 (2.5644)	Prec@1 34.500 (37.400)	Prec@5 61.000 (68.346)
Epoch: [16][4770/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5184 (2.5643)	Prec@1 40.000 (37.402)	Prec@5 67.500 (68.349)
Epoch: [16][4780/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2012 (2.5643)	Prec@1 43.000 (37.403)	Prec@5 76.000 (68.349)
Epoch: [16][4790/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3186 (2.5641)	Prec@1 39.000 (37.408)	Prec@5 76.000 (68.352)
Epoch: [16][4800/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.3292 (2.5641)	Prec@1 44.500 (37.407)	Prec@5 72.000 (68.351)
Epoch: [16][4810/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4153 (2.5641)	Prec@1 40.000 (37.405)	Prec@5 72.000 (68.353)
Epoch: [16][4820/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4335 (2.5641)	Prec@1 35.500 (37.405)	Prec@5 70.500 (68.352)
Epoch: [16][4830/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5129 (2.5640)	Prec@1 36.000 (37.403)	Prec@5 70.500 (68.352)
Epoch: [16][4840/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.4960 (2.5640)	Prec@1 38.000 (37.404)	Prec@5 71.000 (68.352)
Epoch: [16][4850/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6784 (2.5640)	Prec@1 33.000 (37.405)	Prec@5 70.500 (68.353)
Epoch: [16][4860/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4917 (2.5640)	Prec@1 36.500 (37.404)	Prec@5 71.000 (68.352)
Epoch: [16][4870/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5812 (2.5640)	Prec@1 33.000 (37.406)	Prec@5 67.000 (68.353)
Epoch: [16][4880/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4163 (2.5641)	Prec@1 43.000 (37.405)	Prec@5 68.500 (68.348)
Epoch: [16][4890/9018]	Time 0.587 (0.615)	Data 0.001 (0.001)	Loss 2.8562 (2.5642)	Prec@1 33.000 (37.405)	Prec@5 63.500 (68.346)
Epoch: [16][4900/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6077 (2.5641)	Prec@1 38.500 (37.410)	Prec@5 68.500 (68.350)
Epoch: [16][4910/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6604 (2.5641)	Prec@1 35.500 (37.411)	Prec@5 69.500 (68.350)
Epoch: [16][4920/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6101 (2.5641)	Prec@1 40.000 (37.408)	Prec@5 64.000 (68.349)
Epoch: [16][4930/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5347 (2.5641)	Prec@1 36.000 (37.411)	Prec@5 68.500 (68.347)
Epoch: [16][4940/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6038 (2.5641)	Prec@1 36.500 (37.410)	Prec@5 70.500 (68.348)
Epoch: [16][4950/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5574 (2.5640)	Prec@1 37.000 (37.413)	Prec@5 68.500 (68.347)
Epoch: [16][4960/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3186 (2.5639)	Prec@1 41.500 (37.412)	Prec@5 74.000 (68.349)
Epoch: [16][4970/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.4810 (2.5639)	Prec@1 40.000 (37.413)	Prec@5 66.000 (68.347)
Epoch: [16][4980/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.2546 (2.5639)	Prec@1 47.500 (37.414)	Prec@5 73.000 (68.345)
Epoch: [16][4990/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6323 (2.5640)	Prec@1 36.000 (37.413)	Prec@5 68.500 (68.343)
Epoch: [16][5000/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7089 (2.5640)	Prec@1 31.000 (37.411)	Prec@5 69.000 (68.340)
Epoch: [16][5010/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7340 (2.5643)	Prec@1 33.500 (37.406)	Prec@5 60.500 (68.334)
Epoch: [16][5020/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.5014 (2.5641)	Prec@1 39.000 (37.409)	Prec@5 68.500 (68.336)
Epoch: [16][5030/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5713 (2.5642)	Prec@1 37.500 (37.409)	Prec@5 68.500 (68.337)
Epoch: [16][5040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7937 (2.5642)	Prec@1 35.500 (37.407)	Prec@5 64.000 (68.336)
Epoch: [16][5050/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4164 (2.5642)	Prec@1 40.500 (37.411)	Prec@5 71.500 (68.337)
Epoch: [16][5060/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4442 (2.5641)	Prec@1 43.500 (37.413)	Prec@5 71.000 (68.339)
Epoch: [16][5070/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4291 (2.5640)	Prec@1 38.500 (37.415)	Prec@5 69.000 (68.341)
Epoch: [16][5080/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6156 (2.5640)	Prec@1 36.500 (37.417)	Prec@5 67.500 (68.342)
Epoch: [16][5090/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6751 (2.5640)	Prec@1 34.500 (37.416)	Prec@5 66.500 (68.341)
Epoch: [16][5100/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4710 (2.5640)	Prec@1 36.500 (37.417)	Prec@5 72.000 (68.339)
Epoch: [16][5110/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7581 (2.5641)	Prec@1 35.000 (37.419)	Prec@5 64.500 (68.334)
Epoch: [16][5120/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6515 (2.5641)	Prec@1 39.000 (37.420)	Prec@5 66.000 (68.335)
Epoch: [16][5130/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5988 (2.5641)	Prec@1 40.000 (37.419)	Prec@5 66.000 (68.334)
Epoch: [16][5140/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.7304 (2.5642)	Prec@1 36.500 (37.419)	Prec@5 67.000 (68.332)
Epoch: [16][5150/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4045 (2.5643)	Prec@1 37.500 (37.418)	Prec@5 73.500 (68.331)
Epoch: [16][5160/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6479 (2.5643)	Prec@1 38.500 (37.416)	Prec@5 71.000 (68.329)
Epoch: [16][5170/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5446 (2.5642)	Prec@1 37.500 (37.417)	Prec@5 66.000 (68.329)
Epoch: [16][5180/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5528 (2.5644)	Prec@1 37.500 (37.414)	Prec@5 68.500 (68.324)
Epoch: [16][5190/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4931 (2.5645)	Prec@1 38.000 (37.413)	Prec@5 67.000 (68.323)
Epoch: [16][5200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2234 (2.5642)	Prec@1 42.000 (37.420)	Prec@5 76.000 (68.329)
Epoch: [16][5210/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7796 (2.5642)	Prec@1 37.500 (37.420)	Prec@5 63.000 (68.328)
Epoch: [16][5220/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4472 (2.5642)	Prec@1 44.000 (37.422)	Prec@5 70.000 (68.325)
Epoch: [16][5230/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5333 (2.5642)	Prec@1 39.000 (37.424)	Prec@5 69.000 (68.326)
Epoch: [16][5240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4190 (2.5640)	Prec@1 45.500 (37.429)	Prec@5 69.000 (68.328)
Epoch: [16][5250/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6796 (2.5640)	Prec@1 33.500 (37.429)	Prec@5 71.000 (68.329)
Epoch: [16][5260/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5227 (2.5640)	Prec@1 34.500 (37.431)	Prec@5 67.500 (68.330)
Epoch: [16][5270/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4155 (2.5640)	Prec@1 41.000 (37.431)	Prec@5 71.000 (68.329)
Epoch: [16][5280/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5416 (2.5641)	Prec@1 38.000 (37.430)	Prec@5 72.000 (68.328)
Epoch: [16][5290/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6565 (2.5642)	Prec@1 34.000 (37.428)	Prec@5 65.000 (68.324)
Epoch: [16][5300/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.5127 (2.5644)	Prec@1 38.000 (37.425)	Prec@5 69.500 (68.321)
Epoch: [16][5310/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4227 (2.5644)	Prec@1 37.000 (37.425)	Prec@5 72.500 (68.321)
Epoch: [16][5320/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4608 (2.5645)	Prec@1 40.000 (37.423)	Prec@5 73.000 (68.319)
Epoch: [16][5330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4478 (2.5644)	Prec@1 42.500 (37.425)	Prec@5 69.000 (68.321)
Epoch: [16][5340/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4999 (2.5645)	Prec@1 41.500 (37.423)	Prec@5 69.000 (68.321)
Epoch: [16][5350/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.9366 (2.5644)	Prec@1 31.000 (37.425)	Prec@5 57.500 (68.321)
Epoch: [16][5360/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4360 (2.5644)	Prec@1 40.500 (37.423)	Prec@5 66.500 (68.322)
Epoch: [16][5370/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7780 (2.5643)	Prec@1 36.000 (37.427)	Prec@5 65.000 (68.323)
Epoch: [16][5380/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5412 (2.5642)	Prec@1 38.500 (37.428)	Prec@5 69.000 (68.325)
Epoch: [16][5390/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7043 (2.5642)	Prec@1 34.500 (37.426)	Prec@5 65.500 (68.325)
Epoch: [16][5400/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6909 (2.5643)	Prec@1 34.000 (37.422)	Prec@5 70.000 (68.325)
Epoch: [16][5410/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4708 (2.5644)	Prec@1 37.000 (37.422)	Prec@5 70.500 (68.325)
Epoch: [16][5420/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5284 (2.5644)	Prec@1 41.000 (37.425)	Prec@5 70.000 (68.326)
Epoch: [16][5430/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5238 (2.5643)	Prec@1 39.500 (37.423)	Prec@5 70.000 (68.327)
Epoch: [16][5440/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5810 (2.5644)	Prec@1 39.000 (37.422)	Prec@5 67.000 (68.327)
Epoch: [16][5450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5180 (2.5644)	Prec@1 37.500 (37.422)	Prec@5 72.000 (68.327)
Epoch: [16][5460/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5873 (2.5644)	Prec@1 38.500 (37.421)	Prec@5 67.000 (68.328)
Epoch: [16][5470/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6467 (2.5643)	Prec@1 39.000 (37.423)	Prec@5 65.000 (68.328)
Epoch: [16][5480/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6614 (2.5643)	Prec@1 38.000 (37.425)	Prec@5 65.500 (68.328)
Epoch: [16][5490/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6307 (2.5643)	Prec@1 38.000 (37.427)	Prec@5 68.500 (68.330)
Epoch: [16][5500/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5176 (2.5642)	Prec@1 37.500 (37.427)	Prec@5 68.500 (68.329)
Epoch: [16][5510/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5018 (2.5641)	Prec@1 39.500 (37.432)	Prec@5 69.500 (68.331)
Epoch: [16][5520/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.8717 (2.5643)	Prec@1 30.000 (37.429)	Prec@5 63.500 (68.328)
Epoch: [16][5530/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4470 (2.5644)	Prec@1 39.000 (37.428)	Prec@5 70.000 (68.328)
Epoch: [16][5540/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6930 (2.5643)	Prec@1 29.000 (37.428)	Prec@5 67.000 (68.328)
Epoch: [16][5550/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3485 (2.5642)	Prec@1 43.000 (37.433)	Prec@5 73.500 (68.330)
Epoch: [16][5560/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4883 (2.5641)	Prec@1 41.500 (37.434)	Prec@5 72.500 (68.332)
Epoch: [16][5570/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7358 (2.5641)	Prec@1 37.500 (37.432)	Prec@5 65.500 (68.334)
Epoch: [16][5580/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4683 (2.5640)	Prec@1 36.500 (37.429)	Prec@5 73.000 (68.334)
Epoch: [16][5590/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5064 (2.5641)	Prec@1 42.500 (37.429)	Prec@5 70.000 (68.333)
Epoch: [16][5600/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5432 (2.5642)	Prec@1 35.000 (37.425)	Prec@5 68.000 (68.334)
Epoch: [16][5610/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5159 (2.5642)	Prec@1 37.000 (37.424)	Prec@5 70.500 (68.332)
Epoch: [16][5620/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.3721 (2.5640)	Prec@1 46.000 (37.429)	Prec@5 72.500 (68.336)
Epoch: [16][5630/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.4171 (2.5639)	Prec@1 37.500 (37.430)	Prec@5 74.000 (68.336)
Epoch: [16][5640/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5721 (2.5638)	Prec@1 40.500 (37.432)	Prec@5 69.000 (68.339)
Epoch: [16][5650/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7139 (2.5639)	Prec@1 36.000 (37.431)	Prec@5 65.000 (68.337)
Epoch: [16][5660/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4826 (2.5637)	Prec@1 41.500 (37.438)	Prec@5 72.000 (68.342)
Epoch: [16][5670/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6109 (2.5638)	Prec@1 37.000 (37.436)	Prec@5 66.500 (68.342)
Epoch: [16][5680/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.4772 (2.5637)	Prec@1 35.000 (37.436)	Prec@5 70.500 (68.341)
Epoch: [16][5690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5989 (2.5635)	Prec@1 35.000 (37.439)	Prec@5 70.000 (68.345)
Epoch: [16][5700/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6163 (2.5635)	Prec@1 34.000 (37.439)	Prec@5 69.500 (68.348)
Epoch: [16][5710/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3360 (2.5634)	Prec@1 40.000 (37.442)	Prec@5 73.000 (68.351)
Epoch: [16][5720/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4430 (2.5633)	Prec@1 42.500 (37.444)	Prec@5 72.000 (68.352)
Epoch: [16][5730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5309 (2.5633)	Prec@1 36.500 (37.443)	Prec@5 66.000 (68.354)
Epoch: [16][5740/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4366 (2.5634)	Prec@1 40.500 (37.441)	Prec@5 71.000 (68.351)
Epoch: [16][5750/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.8196 (2.5634)	Prec@1 34.000 (37.439)	Prec@5 60.000 (68.352)
Epoch: [16][5760/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4476 (2.5634)	Prec@1 38.500 (37.438)	Prec@5 72.000 (68.352)
Epoch: [16][5770/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5706 (2.5635)	Prec@1 34.000 (37.438)	Prec@5 67.500 (68.350)
Epoch: [16][5780/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4847 (2.5636)	Prec@1 38.500 (37.437)	Prec@5 70.500 (68.349)
Epoch: [16][5790/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6145 (2.5635)	Prec@1 38.000 (37.438)	Prec@5 68.000 (68.347)
Epoch: [16][5800/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6682 (2.5635)	Prec@1 33.500 (37.437)	Prec@5 66.000 (68.347)
Epoch: [16][5810/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6225 (2.5635)	Prec@1 41.500 (37.437)	Prec@5 65.500 (68.344)
Epoch: [16][5820/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5435 (2.5636)	Prec@1 37.000 (37.439)	Prec@5 69.500 (68.344)
Epoch: [16][5830/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5083 (2.5636)	Prec@1 41.000 (37.437)	Prec@5 68.500 (68.344)
Epoch: [16][5840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5004 (2.5636)	Prec@1 43.000 (37.438)	Prec@5 69.500 (68.345)
Epoch: [16][5850/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.3041 (2.5636)	Prec@1 44.000 (37.439)	Prec@5 74.500 (68.346)
Epoch: [16][5860/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3371 (2.5635)	Prec@1 40.000 (37.439)	Prec@5 74.000 (68.346)
Epoch: [16][5870/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5036 (2.5634)	Prec@1 30.000 (37.441)	Prec@5 69.500 (68.350)
Epoch: [16][5880/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5334 (2.5634)	Prec@1 39.000 (37.441)	Prec@5 67.500 (68.349)
Epoch: [16][5890/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5757 (2.5635)	Prec@1 34.500 (37.440)	Prec@5 67.000 (68.347)
Epoch: [16][5900/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5590 (2.5634)	Prec@1 36.500 (37.441)	Prec@5 71.500 (68.349)
Epoch: [16][5910/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4523 (2.5634)	Prec@1 36.000 (37.441)	Prec@5 72.500 (68.349)
Epoch: [16][5920/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7394 (2.5634)	Prec@1 36.500 (37.441)	Prec@5 65.500 (68.350)
Epoch: [16][5930/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6376 (2.5635)	Prec@1 33.500 (37.439)	Prec@5 65.500 (68.349)
Epoch: [16][5940/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5143 (2.5636)	Prec@1 38.500 (37.438)	Prec@5 67.000 (68.346)
Epoch: [16][5950/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4710 (2.5636)	Prec@1 38.500 (37.438)	Prec@5 70.000 (68.346)
Epoch: [16][5960/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.4803 (2.5636)	Prec@1 43.000 (37.442)	Prec@5 69.000 (68.347)
Epoch: [16][5970/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.3805 (2.5636)	Prec@1 43.500 (37.442)	Prec@5 76.000 (68.347)
Epoch: [16][5980/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5569 (2.5634)	Prec@1 34.000 (37.442)	Prec@5 68.000 (68.350)
Epoch: [16][5990/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5069 (2.5634)	Prec@1 39.500 (37.444)	Prec@5 69.000 (68.352)
Epoch: [16][6000/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5626 (2.5633)	Prec@1 39.000 (37.445)	Prec@5 67.000 (68.352)
Epoch: [16][6010/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.5904 (2.5634)	Prec@1 35.500 (37.444)	Prec@5 69.000 (68.352)
Epoch: [16][6020/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5381 (2.5635)	Prec@1 36.500 (37.444)	Prec@5 70.500 (68.350)
Epoch: [16][6030/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6347 (2.5637)	Prec@1 38.500 (37.440)	Prec@5 66.000 (68.345)
Epoch: [16][6040/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6263 (2.5637)	Prec@1 36.500 (37.438)	Prec@5 65.000 (68.345)
Epoch: [16][6050/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.5461 (2.5637)	Prec@1 36.000 (37.437)	Prec@5 68.500 (68.345)
Epoch: [16][6060/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4141 (2.5638)	Prec@1 38.000 (37.438)	Prec@5 69.000 (68.344)
Epoch: [16][6070/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3545 (2.5637)	Prec@1 43.000 (37.438)	Prec@5 72.000 (68.344)
Epoch: [16][6080/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6961 (2.5637)	Prec@1 34.000 (37.440)	Prec@5 65.500 (68.344)
Epoch: [16][6090/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6954 (2.5637)	Prec@1 35.000 (37.440)	Prec@5 64.000 (68.344)
Epoch: [16][6100/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5210 (2.5636)	Prec@1 40.500 (37.442)	Prec@5 66.500 (68.343)
Epoch: [16][6110/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3928 (2.5635)	Prec@1 45.000 (37.445)	Prec@5 71.500 (68.344)
Epoch: [16][6120/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5502 (2.5635)	Prec@1 40.500 (37.444)	Prec@5 71.500 (68.346)
Epoch: [16][6130/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2298 (2.5635)	Prec@1 41.000 (37.445)	Prec@5 75.000 (68.347)
Epoch: [16][6140/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3749 (2.5634)	Prec@1 41.500 (37.447)	Prec@5 73.500 (68.348)
Epoch: [16][6150/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4398 (2.5633)	Prec@1 39.500 (37.447)	Prec@5 68.500 (68.350)
Epoch: [16][6160/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6871 (2.5634)	Prec@1 38.000 (37.446)	Prec@5 67.000 (68.349)
Epoch: [16][6170/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6241 (2.5634)	Prec@1 36.000 (37.445)	Prec@5 67.000 (68.349)
Epoch: [16][6180/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4470 (2.5634)	Prec@1 41.500 (37.446)	Prec@5 72.000 (68.348)
Epoch: [16][6190/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5690 (2.5634)	Prec@1 40.000 (37.447)	Prec@5 68.000 (68.352)
Epoch: [16][6200/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5538 (2.5634)	Prec@1 38.000 (37.446)	Prec@5 64.500 (68.348)
Epoch: [16][6210/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7437 (2.5635)	Prec@1 36.500 (37.446)	Prec@5 64.000 (68.347)
Epoch: [16][6220/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5781 (2.5635)	Prec@1 37.000 (37.447)	Prec@5 68.000 (68.348)
Epoch: [16][6230/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5818 (2.5635)	Prec@1 35.000 (37.444)	Prec@5 67.000 (68.345)
Epoch: [16][6240/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4067 (2.5635)	Prec@1 39.000 (37.443)	Prec@5 70.000 (68.344)
Epoch: [16][6250/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6605 (2.5636)	Prec@1 36.000 (37.443)	Prec@5 66.000 (68.344)
Epoch: [16][6260/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3039 (2.5637)	Prec@1 41.500 (37.440)	Prec@5 74.500 (68.342)
Epoch: [16][6270/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6053 (2.5636)	Prec@1 35.500 (37.443)	Prec@5 67.000 (68.344)
Epoch: [16][6280/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5762 (2.5636)	Prec@1 34.000 (37.441)	Prec@5 67.500 (68.344)
Epoch: [16][6290/9018]	Time 0.712 (0.615)	Data 0.001 (0.001)	Loss 2.6005 (2.5637)	Prec@1 34.500 (37.439)	Prec@5 69.000 (68.342)
Epoch: [16][6300/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.6120 (2.5637)	Prec@1 39.000 (37.439)	Prec@5 65.000 (68.339)
Epoch: [16][6310/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5103 (2.5637)	Prec@1 35.000 (37.440)	Prec@5 68.500 (68.339)
Epoch: [16][6320/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5266 (2.5637)	Prec@1 37.500 (37.441)	Prec@5 68.500 (68.338)
Epoch: [16][6330/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5086 (2.5637)	Prec@1 40.000 (37.441)	Prec@5 65.500 (68.337)
Epoch: [16][6340/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.4338 (2.5637)	Prec@1 41.500 (37.441)	Prec@5 71.000 (68.339)
Epoch: [16][6350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7083 (2.5638)	Prec@1 37.000 (37.438)	Prec@5 70.500 (68.339)
Epoch: [16][6360/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4836 (2.5637)	Prec@1 40.000 (37.441)	Prec@5 71.000 (68.341)
Epoch: [16][6370/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4855 (2.5638)	Prec@1 38.000 (37.438)	Prec@5 68.500 (68.342)
Epoch: [16][6380/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4796 (2.5638)	Prec@1 39.000 (37.439)	Prec@5 68.000 (68.339)
Epoch: [16][6390/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.9335 (2.5640)	Prec@1 29.500 (37.434)	Prec@5 59.500 (68.334)
Epoch: [16][6400/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6264 (2.5640)	Prec@1 36.000 (37.433)	Prec@5 69.000 (68.335)
Epoch: [16][6410/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7733 (2.5641)	Prec@1 36.000 (37.431)	Prec@5 61.500 (68.333)
Epoch: [16][6420/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5824 (2.5640)	Prec@1 38.500 (37.435)	Prec@5 67.000 (68.335)
Epoch: [16][6430/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2948 (2.5639)	Prec@1 43.000 (37.436)	Prec@5 71.000 (68.337)
Epoch: [16][6440/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3249 (2.5638)	Prec@1 43.000 (37.437)	Prec@5 70.500 (68.337)
Epoch: [16][6450/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5339 (2.5638)	Prec@1 36.000 (37.438)	Prec@5 69.500 (68.336)
Epoch: [16][6460/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3868 (2.5637)	Prec@1 41.500 (37.441)	Prec@5 75.000 (68.339)
Epoch: [16][6470/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.5629 (2.5637)	Prec@1 38.000 (37.441)	Prec@5 71.000 (68.338)
Epoch: [16][6480/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7435 (2.5636)	Prec@1 34.500 (37.442)	Prec@5 67.000 (68.338)
Epoch: [16][6490/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5527 (2.5636)	Prec@1 34.000 (37.441)	Prec@5 69.500 (68.339)
Epoch: [16][6500/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6666 (2.5636)	Prec@1 38.000 (37.441)	Prec@5 63.500 (68.338)
Epoch: [16][6510/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5222 (2.5636)	Prec@1 35.000 (37.441)	Prec@5 72.000 (68.339)
Epoch: [16][6520/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5004 (2.5636)	Prec@1 41.000 (37.442)	Prec@5 72.000 (68.341)
Epoch: [16][6530/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7357 (2.5635)	Prec@1 30.500 (37.443)	Prec@5 66.500 (68.341)
Epoch: [16][6540/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4376 (2.5635)	Prec@1 37.000 (37.441)	Prec@5 66.500 (68.342)
Epoch: [16][6550/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6068 (2.5636)	Prec@1 36.500 (37.438)	Prec@5 69.000 (68.341)
Epoch: [16][6560/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3984 (2.5635)	Prec@1 40.500 (37.439)	Prec@5 72.500 (68.343)
Epoch: [16][6570/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6067 (2.5635)	Prec@1 36.000 (37.439)	Prec@5 66.000 (68.344)
Epoch: [16][6580/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6158 (2.5636)	Prec@1 41.000 (37.439)	Prec@5 67.000 (68.340)
Epoch: [16][6590/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5247 (2.5635)	Prec@1 35.500 (37.440)	Prec@5 69.000 (68.341)
Epoch: [16][6600/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5691 (2.5634)	Prec@1 37.500 (37.440)	Prec@5 68.500 (68.341)
Epoch: [16][6610/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5084 (2.5635)	Prec@1 38.500 (37.439)	Prec@5 69.500 (68.341)
Epoch: [16][6620/9018]	Time 0.766 (0.615)	Data 0.001 (0.001)	Loss 2.7910 (2.5636)	Prec@1 30.500 (37.435)	Prec@5 62.500 (68.337)
Epoch: [16][6630/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6272 (2.5636)	Prec@1 38.500 (37.435)	Prec@5 65.000 (68.337)
Epoch: [16][6640/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6413 (2.5636)	Prec@1 34.000 (37.436)	Prec@5 65.500 (68.338)
Epoch: [16][6650/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5531 (2.5635)	Prec@1 36.500 (37.436)	Prec@5 68.000 (68.338)
Epoch: [16][6660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6637 (2.5636)	Prec@1 41.000 (37.435)	Prec@5 65.500 (68.335)
Epoch: [16][6670/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.2930 (2.5637)	Prec@1 43.500 (37.434)	Prec@5 73.000 (68.335)
Epoch: [16][6680/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5780 (2.5636)	Prec@1 36.500 (37.434)	Prec@5 66.500 (68.336)
Epoch: [16][6690/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6715 (2.5636)	Prec@1 34.000 (37.433)	Prec@5 68.500 (68.336)
Epoch: [16][6700/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6252 (2.5637)	Prec@1 38.500 (37.432)	Prec@5 65.500 (68.335)
Epoch: [16][6710/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4285 (2.5637)	Prec@1 39.500 (37.430)	Prec@5 70.000 (68.334)
Epoch: [16][6720/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4290 (2.5637)	Prec@1 38.000 (37.429)	Prec@5 74.500 (68.336)
Epoch: [16][6730/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6949 (2.5637)	Prec@1 35.000 (37.430)	Prec@5 67.500 (68.338)
Epoch: [16][6740/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5448 (2.5636)	Prec@1 37.000 (37.429)	Prec@5 68.000 (68.340)
Epoch: [16][6750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5258 (2.5638)	Prec@1 39.000 (37.427)	Prec@5 70.000 (68.338)
Epoch: [16][6760/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6204 (2.5638)	Prec@1 37.500 (37.427)	Prec@5 67.500 (68.337)
Epoch: [16][6770/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4333 (2.5639)	Prec@1 39.500 (37.427)	Prec@5 70.000 (68.338)
Epoch: [16][6780/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4709 (2.5638)	Prec@1 40.000 (37.427)	Prec@5 68.500 (68.338)
Epoch: [16][6790/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5049 (2.5638)	Prec@1 36.000 (37.427)	Prec@5 73.500 (68.339)
Epoch: [16][6800/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5935 (2.5639)	Prec@1 31.500 (37.425)	Prec@5 67.000 (68.338)
Epoch: [16][6810/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4828 (2.5639)	Prec@1 43.000 (37.427)	Prec@5 69.000 (68.336)
Epoch: [16][6820/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.8305 (2.5638)	Prec@1 34.500 (37.427)	Prec@5 62.000 (68.337)
Epoch: [16][6830/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5290 (2.5640)	Prec@1 45.500 (37.427)	Prec@5 72.500 (68.335)
Epoch: [16][6840/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6569 (2.5639)	Prec@1 40.500 (37.430)	Prec@5 65.500 (68.336)
Epoch: [16][6850/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6760 (2.5639)	Prec@1 35.000 (37.429)	Prec@5 66.500 (68.335)
Epoch: [16][6860/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5681 (2.5639)	Prec@1 39.500 (37.427)	Prec@5 69.000 (68.333)
Epoch: [16][6870/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7337 (2.5639)	Prec@1 37.000 (37.431)	Prec@5 66.500 (68.333)
Epoch: [16][6880/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4760 (2.5639)	Prec@1 37.000 (37.429)	Prec@5 71.500 (68.331)
Epoch: [16][6890/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4088 (2.5639)	Prec@1 37.500 (37.431)	Prec@5 69.000 (68.330)
Epoch: [16][6900/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5381 (2.5638)	Prec@1 42.000 (37.432)	Prec@5 66.500 (68.330)
Epoch: [16][6910/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5885 (2.5639)	Prec@1 38.500 (37.432)	Prec@5 67.500 (68.329)
Epoch: [16][6920/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4459 (2.5639)	Prec@1 39.500 (37.430)	Prec@5 66.500 (68.329)
Epoch: [16][6930/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4152 (2.5638)	Prec@1 35.500 (37.431)	Prec@5 73.000 (68.330)
Epoch: [16][6940/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6033 (2.5638)	Prec@1 35.500 (37.431)	Prec@5 69.500 (68.332)
Epoch: [16][6950/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.4669 (2.5637)	Prec@1 39.500 (37.431)	Prec@5 70.000 (68.334)
Epoch: [16][6960/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.4896 (2.5637)	Prec@1 39.500 (37.432)	Prec@5 69.000 (68.335)
Epoch: [16][6970/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6906 (2.5638)	Prec@1 37.000 (37.429)	Prec@5 67.000 (68.332)
Epoch: [16][6980/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6994 (2.5638)	Prec@1 35.500 (37.430)	Prec@5 66.000 (68.333)
Epoch: [16][6990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7128 (2.5639)	Prec@1 35.500 (37.431)	Prec@5 67.500 (68.332)
Epoch: [16][7000/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.3647 (2.5638)	Prec@1 40.500 (37.434)	Prec@5 71.500 (68.332)
Epoch: [16][7010/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4926 (2.5639)	Prec@1 34.000 (37.432)	Prec@5 73.000 (68.331)
Epoch: [16][7020/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5263 (2.5639)	Prec@1 37.000 (37.433)	Prec@5 70.000 (68.330)
Epoch: [16][7030/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3521 (2.5639)	Prec@1 38.500 (37.433)	Prec@5 72.500 (68.329)
Epoch: [16][7040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5884 (2.5640)	Prec@1 40.000 (37.430)	Prec@5 69.500 (68.328)
Epoch: [16][7050/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4444 (2.5639)	Prec@1 38.500 (37.432)	Prec@5 73.000 (68.331)
Epoch: [16][7060/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4982 (2.5638)	Prec@1 41.500 (37.433)	Prec@5 70.000 (68.332)
Epoch: [16][7070/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4595 (2.5640)	Prec@1 36.500 (37.432)	Prec@5 72.000 (68.330)
Epoch: [16][7080/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4863 (2.5640)	Prec@1 38.500 (37.433)	Prec@5 69.500 (68.329)
Epoch: [16][7090/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6144 (2.5639)	Prec@1 35.500 (37.432)	Prec@5 69.500 (68.329)
Epoch: [16][7100/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6178 (2.5639)	Prec@1 35.000 (37.432)	Prec@5 67.000 (68.327)
Epoch: [16][7110/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6214 (2.5639)	Prec@1 41.500 (37.433)	Prec@5 69.500 (68.329)
Epoch: [16][7120/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7325 (2.5639)	Prec@1 34.500 (37.433)	Prec@5 64.500 (68.330)
Epoch: [16][7130/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6522 (2.5639)	Prec@1 36.000 (37.433)	Prec@5 67.500 (68.328)
Epoch: [16][7140/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8711 (2.5640)	Prec@1 35.000 (37.431)	Prec@5 61.500 (68.326)
Epoch: [16][7150/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3195 (2.5641)	Prec@1 41.000 (37.430)	Prec@5 73.000 (68.327)
Epoch: [16][7160/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4768 (2.5641)	Prec@1 34.000 (37.428)	Prec@5 71.500 (68.327)
Epoch: [16][7170/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5983 (2.5641)	Prec@1 37.000 (37.428)	Prec@5 66.000 (68.326)
Epoch: [16][7180/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5341 (2.5642)	Prec@1 38.000 (37.425)	Prec@5 73.000 (68.324)
Epoch: [16][7190/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5260 (2.5642)	Prec@1 40.000 (37.424)	Prec@5 71.000 (68.323)
Epoch: [16][7200/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6636 (2.5642)	Prec@1 36.500 (37.423)	Prec@5 66.500 (68.323)
Epoch: [16][7210/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3621 (2.5643)	Prec@1 37.500 (37.421)	Prec@5 76.000 (68.322)
Epoch: [16][7220/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7807 (2.5643)	Prec@1 31.500 (37.420)	Prec@5 64.500 (68.320)
Epoch: [16][7230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6211 (2.5644)	Prec@1 36.000 (37.417)	Prec@5 67.500 (68.319)
Epoch: [16][7240/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5821 (2.5644)	Prec@1 37.500 (37.417)	Prec@5 64.500 (68.318)
Epoch: [16][7250/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4816 (2.5643)	Prec@1 38.000 (37.419)	Prec@5 70.500 (68.319)
Epoch: [16][7260/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5217 (2.5643)	Prec@1 40.500 (37.422)	Prec@5 68.500 (68.320)
Epoch: [16][7270/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5988 (2.5643)	Prec@1 38.500 (37.422)	Prec@5 64.000 (68.318)
Epoch: [16][7280/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 2.5419 (2.5642)	Prec@1 39.000 (37.423)	Prec@5 63.500 (68.319)
Epoch: [16][7290/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7686 (2.5641)	Prec@1 31.500 (37.425)	Prec@5 60.500 (68.318)
Epoch: [16][7300/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5976 (2.5641)	Prec@1 36.500 (37.425)	Prec@5 71.000 (68.318)
Epoch: [16][7310/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6033 (2.5642)	Prec@1 36.500 (37.424)	Prec@5 68.000 (68.318)
Epoch: [16][7320/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5373 (2.5642)	Prec@1 32.000 (37.422)	Prec@5 67.500 (68.316)
Epoch: [16][7330/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.4749 (2.5641)	Prec@1 39.000 (37.425)	Prec@5 71.000 (68.319)
Epoch: [16][7340/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5954 (2.5640)	Prec@1 35.500 (37.427)	Prec@5 64.000 (68.319)
Epoch: [16][7350/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7121 (2.5640)	Prec@1 34.000 (37.428)	Prec@5 67.500 (68.320)
Epoch: [16][7360/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4590 (2.5640)	Prec@1 36.500 (37.429)	Prec@5 71.500 (68.321)
Epoch: [16][7370/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4168 (2.5639)	Prec@1 40.500 (37.429)	Prec@5 68.500 (68.321)
Epoch: [16][7380/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7482 (2.5639)	Prec@1 34.500 (37.429)	Prec@5 64.500 (68.322)
Epoch: [16][7390/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5477 (2.5638)	Prec@1 36.000 (37.431)	Prec@5 68.500 (68.323)
Epoch: [16][7400/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7622 (2.5639)	Prec@1 31.500 (37.429)	Prec@5 61.500 (68.321)
Epoch: [16][7410/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5599 (2.5639)	Prec@1 36.500 (37.429)	Prec@5 67.500 (68.320)
Epoch: [16][7420/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 3.0278 (2.5640)	Prec@1 30.500 (37.428)	Prec@5 59.500 (68.317)
Epoch: [16][7430/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.5666 (2.5641)	Prec@1 34.000 (37.427)	Prec@5 70.000 (68.317)
Epoch: [16][7440/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5678 (2.5642)	Prec@1 42.000 (37.428)	Prec@5 67.500 (68.314)
Epoch: [16][7450/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6973 (2.5642)	Prec@1 36.500 (37.427)	Prec@5 64.000 (68.313)
Epoch: [16][7460/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4978 (2.5642)	Prec@1 39.500 (37.427)	Prec@5 75.000 (68.313)
Epoch: [16][7470/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4449 (2.5641)	Prec@1 37.500 (37.428)	Prec@5 73.000 (68.314)
Epoch: [16][7480/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5521 (2.5642)	Prec@1 34.500 (37.427)	Prec@5 70.500 (68.313)
Epoch: [16][7490/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5924 (2.5642)	Prec@1 37.500 (37.430)	Prec@5 67.500 (68.314)
Epoch: [16][7500/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5837 (2.5643)	Prec@1 39.000 (37.429)	Prec@5 68.500 (68.311)
Epoch: [16][7510/9018]	Time 0.611 (0.615)	Data 0.004 (0.001)	Loss 2.7443 (2.5643)	Prec@1 35.000 (37.427)	Prec@5 64.500 (68.311)
Epoch: [16][7520/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6597 (2.5643)	Prec@1 36.500 (37.427)	Prec@5 66.500 (68.312)
Epoch: [16][7530/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6908 (2.5643)	Prec@1 38.000 (37.428)	Prec@5 64.000 (68.312)
Epoch: [16][7540/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5804 (2.5644)	Prec@1 38.500 (37.427)	Prec@5 66.500 (68.310)
Epoch: [16][7550/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7167 (2.5644)	Prec@1 37.000 (37.428)	Prec@5 65.000 (68.310)
Epoch: [16][7560/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6556 (2.5644)	Prec@1 33.500 (37.426)	Prec@5 66.000 (68.309)
Epoch: [16][7570/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5674 (2.5642)	Prec@1 37.000 (37.427)	Prec@5 68.000 (68.312)
Epoch: [16][7580/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5380 (2.5643)	Prec@1 36.500 (37.428)	Prec@5 69.000 (68.311)
Epoch: [16][7590/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5909 (2.5641)	Prec@1 39.500 (37.431)	Prec@5 66.500 (68.314)
Epoch: [16][7600/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6689 (2.5641)	Prec@1 34.500 (37.432)	Prec@5 68.000 (68.314)
Epoch: [16][7610/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.6665 (2.5641)	Prec@1 36.500 (37.433)	Prec@5 66.500 (68.314)
Epoch: [16][7620/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6263 (2.5641)	Prec@1 35.000 (37.434)	Prec@5 68.000 (68.315)
Epoch: [16][7630/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6048 (2.5641)	Prec@1 35.500 (37.435)	Prec@5 71.500 (68.317)
Epoch: [16][7640/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3901 (2.5640)	Prec@1 38.000 (37.436)	Prec@5 71.500 (68.317)
Epoch: [16][7650/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4840 (2.5640)	Prec@1 42.000 (37.439)	Prec@5 69.500 (68.316)
Epoch: [16][7660/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.5934 (2.5640)	Prec@1 38.000 (37.438)	Prec@5 67.000 (68.315)
Epoch: [16][7670/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5141 (2.5640)	Prec@1 41.000 (37.438)	Prec@5 70.500 (68.317)
Epoch: [16][7680/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7665 (2.5641)	Prec@1 35.500 (37.435)	Prec@5 62.500 (68.314)
Epoch: [16][7690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5872 (2.5641)	Prec@1 43.000 (37.437)	Prec@5 67.500 (68.315)
Epoch: [16][7700/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6603 (2.5641)	Prec@1 36.000 (37.437)	Prec@5 66.500 (68.315)
Epoch: [16][7710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6073 (2.5641)	Prec@1 36.500 (37.437)	Prec@5 70.000 (68.315)
Epoch: [16][7720/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.9390 (2.5642)	Prec@1 32.500 (37.435)	Prec@5 58.000 (68.313)
Epoch: [16][7730/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.3361 (2.5641)	Prec@1 41.000 (37.436)	Prec@5 74.500 (68.315)
Epoch: [16][7740/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6028 (2.5641)	Prec@1 36.500 (37.437)	Prec@5 65.500 (68.315)
Epoch: [16][7750/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6802 (2.5641)	Prec@1 36.500 (37.435)	Prec@5 67.500 (68.317)
Epoch: [16][7760/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4650 (2.5641)	Prec@1 39.500 (37.436)	Prec@5 69.000 (68.318)
Epoch: [16][7770/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5310 (2.5640)	Prec@1 39.000 (37.439)	Prec@5 64.000 (68.319)
Epoch: [16][7780/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6747 (2.5640)	Prec@1 36.000 (37.438)	Prec@5 67.500 (68.319)
Epoch: [16][7790/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7698 (2.5640)	Prec@1 36.500 (37.439)	Prec@5 66.500 (68.320)
Epoch: [16][7800/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3968 (2.5640)	Prec@1 44.500 (37.438)	Prec@5 71.500 (68.319)
Epoch: [16][7810/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5382 (2.5640)	Prec@1 36.500 (37.440)	Prec@5 68.500 (68.320)
Epoch: [16][7820/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4491 (2.5640)	Prec@1 36.500 (37.438)	Prec@5 71.000 (68.319)
Epoch: [16][7830/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3444 (2.5640)	Prec@1 43.500 (37.440)	Prec@5 75.500 (68.320)
Epoch: [16][7840/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6571 (2.5640)	Prec@1 36.500 (37.439)	Prec@5 64.000 (68.318)
Epoch: [16][7850/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6600 (2.5640)	Prec@1 35.000 (37.440)	Prec@5 66.500 (68.318)
Epoch: [16][7860/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5082 (2.5638)	Prec@1 41.000 (37.442)	Prec@5 70.000 (68.321)
Epoch: [16][7870/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5091 (2.5638)	Prec@1 40.000 (37.442)	Prec@5 67.500 (68.321)
Epoch: [16][7880/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5610 (2.5637)	Prec@1 37.000 (37.444)	Prec@5 69.000 (68.323)
Epoch: [16][7890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8078 (2.5637)	Prec@1 31.500 (37.443)	Prec@5 63.000 (68.324)
Epoch: [16][7900/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4134 (2.5636)	Prec@1 37.500 (37.445)	Prec@5 72.500 (68.326)
Epoch: [16][7910/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4329 (2.5637)	Prec@1 40.000 (37.444)	Prec@5 70.000 (68.326)
Epoch: [16][7920/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7893 (2.5637)	Prec@1 32.000 (37.441)	Prec@5 66.500 (68.325)
Epoch: [16][7930/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.3166 (2.5637)	Prec@1 46.500 (37.443)	Prec@5 71.000 (68.325)
Epoch: [16][7940/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.4142 (2.5636)	Prec@1 38.500 (37.444)	Prec@5 71.500 (68.327)
Epoch: [16][7950/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6187 (2.5635)	Prec@1 36.500 (37.446)	Prec@5 68.500 (68.329)
Epoch: [16][7960/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5918 (2.5636)	Prec@1 39.500 (37.446)	Prec@5 68.000 (68.329)
Epoch: [16][7970/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6518 (2.5636)	Prec@1 37.000 (37.445)	Prec@5 69.000 (68.330)
Epoch: [16][7980/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7434 (2.5636)	Prec@1 31.000 (37.444)	Prec@5 69.500 (68.330)
Epoch: [16][7990/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.4568 (2.5636)	Prec@1 40.500 (37.444)	Prec@5 71.500 (68.330)
Epoch: [16][8000/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5693 (2.5635)	Prec@1 39.500 (37.445)	Prec@5 69.000 (68.332)
Epoch: [16][8010/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6013 (2.5635)	Prec@1 34.500 (37.446)	Prec@5 67.500 (68.333)
Epoch: [16][8020/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5289 (2.5635)	Prec@1 35.500 (37.447)	Prec@5 70.000 (68.333)
Epoch: [16][8030/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5216 (2.5635)	Prec@1 38.500 (37.445)	Prec@5 66.500 (68.332)
Epoch: [16][8040/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6457 (2.5634)	Prec@1 39.500 (37.448)	Prec@5 67.500 (68.334)
Epoch: [16][8050/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6287 (2.5634)	Prec@1 37.500 (37.449)	Prec@5 65.000 (68.332)
Epoch: [16][8060/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4186 (2.5635)	Prec@1 43.500 (37.448)	Prec@5 70.000 (68.333)
Epoch: [16][8070/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6409 (2.5634)	Prec@1 36.000 (37.449)	Prec@5 66.500 (68.334)
Epoch: [16][8080/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.5203 (2.5635)	Prec@1 36.500 (37.448)	Prec@5 70.500 (68.333)
Epoch: [16][8090/9018]	Time 0.647 (0.615)	Data 0.001 (0.001)	Loss 2.7192 (2.5635)	Prec@1 36.000 (37.448)	Prec@5 67.500 (68.333)
Epoch: [16][8100/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5632 (2.5636)	Prec@1 36.500 (37.446)	Prec@5 69.500 (68.330)
Epoch: [16][8110/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4894 (2.5636)	Prec@1 39.000 (37.445)	Prec@5 72.000 (68.330)
Epoch: [16][8120/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6967 (2.5637)	Prec@1 33.000 (37.443)	Prec@5 66.500 (68.328)
Epoch: [16][8130/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5959 (2.5636)	Prec@1 35.000 (37.444)	Prec@5 69.500 (68.329)
Epoch: [16][8140/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6361 (2.5637)	Prec@1 32.500 (37.442)	Prec@5 68.500 (68.327)
Epoch: [16][8150/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6782 (2.5637)	Prec@1 33.000 (37.441)	Prec@5 63.000 (68.327)
Epoch: [16][8160/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7945 (2.5638)	Prec@1 33.000 (37.439)	Prec@5 62.500 (68.324)
Epoch: [16][8170/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6954 (2.5638)	Prec@1 34.000 (37.438)	Prec@5 62.000 (68.323)
Epoch: [16][8180/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.9134 (2.5638)	Prec@1 32.500 (37.437)	Prec@5 58.500 (68.323)
Epoch: [16][8190/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6164 (2.5640)	Prec@1 37.000 (37.433)	Prec@5 66.500 (68.319)
Epoch: [16][8200/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7073 (2.5641)	Prec@1 37.500 (37.431)	Prec@5 64.500 (68.318)
Epoch: [16][8210/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6687 (2.5640)	Prec@1 35.500 (37.434)	Prec@5 68.000 (68.321)
Epoch: [16][8220/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5046 (2.5639)	Prec@1 31.000 (37.432)	Prec@5 70.500 (68.321)
Epoch: [16][8230/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4827 (2.5639)	Prec@1 38.500 (37.432)	Prec@5 71.500 (68.324)
Epoch: [16][8240/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6648 (2.5640)	Prec@1 36.500 (37.433)	Prec@5 66.500 (68.322)
Epoch: [16][8250/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2752 (2.5640)	Prec@1 49.500 (37.435)	Prec@5 75.000 (68.323)
Epoch: [16][8260/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6248 (2.5639)	Prec@1 40.500 (37.435)	Prec@5 65.000 (68.324)
Epoch: [16][8270/9018]	Time 0.751 (0.615)	Data 0.001 (0.001)	Loss 2.4583 (2.5639)	Prec@1 38.500 (37.436)	Prec@5 73.000 (68.326)
Epoch: [16][8280/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4385 (2.5639)	Prec@1 36.500 (37.436)	Prec@5 67.000 (68.325)
Epoch: [16][8290/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6324 (2.5639)	Prec@1 38.500 (37.433)	Prec@5 65.500 (68.324)
Epoch: [16][8300/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5548 (2.5639)	Prec@1 35.000 (37.432)	Prec@5 63.500 (68.324)
Epoch: [16][8310/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5375 (2.5639)	Prec@1 39.000 (37.431)	Prec@5 67.000 (68.323)
Epoch: [16][8320/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.4616 (2.5638)	Prec@1 38.500 (37.433)	Prec@5 66.000 (68.324)
Epoch: [16][8330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7445 (2.5638)	Prec@1 36.500 (37.431)	Prec@5 65.000 (68.324)
Epoch: [16][8340/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5340 (2.5638)	Prec@1 34.500 (37.431)	Prec@5 67.000 (68.325)
Epoch: [16][8350/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.6796 (2.5639)	Prec@1 35.500 (37.430)	Prec@5 66.000 (68.324)
Epoch: [16][8360/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4081 (2.5638)	Prec@1 39.000 (37.431)	Prec@5 72.500 (68.325)
Epoch: [16][8370/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6332 (2.5638)	Prec@1 32.500 (37.430)	Prec@5 68.500 (68.325)
Epoch: [16][8380/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4925 (2.5638)	Prec@1 40.500 (37.430)	Prec@5 70.000 (68.326)
Epoch: [16][8390/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5127 (2.5639)	Prec@1 37.500 (37.430)	Prec@5 71.000 (68.325)
Epoch: [16][8400/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5437 (2.5639)	Prec@1 41.000 (37.427)	Prec@5 67.000 (68.324)
Epoch: [16][8410/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6275 (2.5638)	Prec@1 38.500 (37.427)	Prec@5 70.500 (68.327)
Epoch: [16][8420/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5781 (2.5639)	Prec@1 41.000 (37.427)	Prec@5 65.000 (68.325)
Epoch: [16][8430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4720 (2.5639)	Prec@1 37.500 (37.427)	Prec@5 73.000 (68.326)
Epoch: [16][8440/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5109 (2.5638)	Prec@1 36.500 (37.428)	Prec@5 73.500 (68.327)
Epoch: [16][8450/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5673 (2.5639)	Prec@1 38.000 (37.427)	Prec@5 67.500 (68.326)
Epoch: [16][8460/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5394 (2.5639)	Prec@1 36.500 (37.426)	Prec@5 66.500 (68.325)
Epoch: [16][8470/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5282 (2.5639)	Prec@1 38.500 (37.427)	Prec@5 69.500 (68.325)
Epoch: [16][8480/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3487 (2.5639)	Prec@1 40.000 (37.427)	Prec@5 72.500 (68.325)
Epoch: [16][8490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5460 (2.5640)	Prec@1 36.000 (37.427)	Prec@5 65.500 (68.323)
Epoch: [16][8500/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4844 (2.5640)	Prec@1 35.000 (37.426)	Prec@5 72.000 (68.322)
Epoch: [16][8510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6110 (2.5641)	Prec@1 36.500 (37.425)	Prec@5 69.000 (68.321)
Epoch: [16][8520/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5653 (2.5641)	Prec@1 31.000 (37.424)	Prec@5 74.500 (68.321)
Epoch: [16][8530/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5454 (2.5641)	Prec@1 36.000 (37.426)	Prec@5 70.500 (68.319)
Epoch: [16][8540/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6021 (2.5640)	Prec@1 36.000 (37.428)	Prec@5 68.500 (68.321)
Epoch: [16][8550/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.8280 (2.5640)	Prec@1 32.500 (37.430)	Prec@5 65.500 (68.322)
Epoch: [16][8560/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5546 (2.5640)	Prec@1 36.000 (37.427)	Prec@5 67.500 (68.321)
Epoch: [16][8570/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5544 (2.5640)	Prec@1 37.500 (37.428)	Prec@5 65.500 (68.321)
Epoch: [16][8580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5969 (2.5640)	Prec@1 41.500 (37.431)	Prec@5 67.500 (68.321)
Epoch: [16][8590/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6798 (2.5640)	Prec@1 33.500 (37.429)	Prec@5 66.000 (68.320)
Epoch: [16][8600/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.6879 (2.5640)	Prec@1 32.000 (37.428)	Prec@5 65.000 (68.321)
Epoch: [16][8610/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5945 (2.5640)	Prec@1 36.000 (37.428)	Prec@5 68.500 (68.321)
Epoch: [16][8620/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6861 (2.5639)	Prec@1 32.500 (37.429)	Prec@5 63.000 (68.322)
Epoch: [16][8630/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5820 (2.5638)	Prec@1 32.500 (37.428)	Prec@5 67.000 (68.323)
Epoch: [16][8640/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3927 (2.5638)	Prec@1 40.500 (37.428)	Prec@5 72.000 (68.323)
Epoch: [16][8650/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.6978 (2.5638)	Prec@1 33.000 (37.428)	Prec@5 66.000 (68.323)
Epoch: [16][8660/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.2984 (2.5638)	Prec@1 38.000 (37.426)	Prec@5 71.000 (68.323)
Epoch: [16][8670/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4699 (2.5638)	Prec@1 36.000 (37.426)	Prec@5 72.000 (68.324)
Epoch: [16][8680/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5343 (2.5639)	Prec@1 41.500 (37.426)	Prec@5 70.500 (68.323)
Epoch: [16][8690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3812 (2.5640)	Prec@1 41.500 (37.425)	Prec@5 73.500 (68.321)
Epoch: [16][8700/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6259 (2.5640)	Prec@1 38.000 (37.423)	Prec@5 69.000 (68.320)
Epoch: [16][8710/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6272 (2.5641)	Prec@1 36.000 (37.423)	Prec@5 68.000 (68.320)
Epoch: [16][8720/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4993 (2.5641)	Prec@1 41.000 (37.424)	Prec@5 71.000 (68.318)
Epoch: [16][8730/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6945 (2.5641)	Prec@1 32.500 (37.425)	Prec@5 65.000 (68.317)
Epoch: [16][8740/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6233 (2.5642)	Prec@1 37.000 (37.424)	Prec@5 68.000 (68.316)
Epoch: [16][8750/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5399 (2.5642)	Prec@1 36.500 (37.422)	Prec@5 72.000 (68.316)
Epoch: [16][8760/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6316 (2.5642)	Prec@1 38.500 (37.421)	Prec@5 69.500 (68.315)
Epoch: [16][8770/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6660 (2.5643)	Prec@1 36.500 (37.420)	Prec@5 66.000 (68.314)
Epoch: [16][8780/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4527 (2.5643)	Prec@1 43.500 (37.421)	Prec@5 69.000 (68.313)
Epoch: [16][8790/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5312 (2.5644)	Prec@1 39.500 (37.420)	Prec@5 68.500 (68.312)
Epoch: [16][8800/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5486 (2.5644)	Prec@1 40.000 (37.419)	Prec@5 67.500 (68.311)
Epoch: [16][8810/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3772 (2.5643)	Prec@1 42.000 (37.420)	Prec@5 70.500 (68.311)
Epoch: [16][8820/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2645 (2.5643)	Prec@1 39.500 (37.421)	Prec@5 74.000 (68.311)
Epoch: [16][8830/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7592 (2.5643)	Prec@1 37.000 (37.422)	Prec@5 64.500 (68.312)
Epoch: [16][8840/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7885 (2.5643)	Prec@1 33.500 (37.420)	Prec@5 65.000 (68.312)
Epoch: [16][8850/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4200 (2.5643)	Prec@1 38.500 (37.422)	Prec@5 69.500 (68.313)
Epoch: [16][8860/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5117 (2.5643)	Prec@1 35.000 (37.421)	Prec@5 69.500 (68.313)
Epoch: [16][8870/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5032 (2.5643)	Prec@1 37.000 (37.420)	Prec@5 70.000 (68.311)
Epoch: [16][8880/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4664 (2.5643)	Prec@1 40.500 (37.421)	Prec@5 67.500 (68.312)
Epoch: [16][8890/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6050 (2.5643)	Prec@1 39.500 (37.421)	Prec@5 65.000 (68.311)
Epoch: [16][8900/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8685 (2.5643)	Prec@1 33.500 (37.418)	Prec@5 64.500 (68.309)
Epoch: [16][8910/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7471 (2.5644)	Prec@1 36.000 (37.418)	Prec@5 68.000 (68.310)
Epoch: [16][8920/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4404 (2.5644)	Prec@1 40.500 (37.418)	Prec@5 71.000 (68.310)
Epoch: [16][8930/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.7196 (2.5643)	Prec@1 34.500 (37.419)	Prec@5 66.500 (68.311)
Epoch: [16][8940/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.3789 (2.5644)	Prec@1 37.500 (37.417)	Prec@5 69.500 (68.310)
Epoch: [16][8950/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5307 (2.5644)	Prec@1 39.500 (37.415)	Prec@5 69.000 (68.309)
Epoch: [16][8960/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6668 (2.5644)	Prec@1 33.500 (37.414)	Prec@5 65.500 (68.309)
Epoch: [16][8970/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6414 (2.5644)	Prec@1 37.500 (37.414)	Prec@5 62.500 (68.309)
Epoch: [16][8980/9018]	Time 0.747 (0.615)	Data 0.001 (0.001)	Loss 2.5698 (2.5644)	Prec@1 35.500 (37.416)	Prec@5 68.500 (68.309)
Epoch: [16][8990/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6936 (2.5646)	Prec@1 34.000 (37.411)	Prec@5 65.500 (68.305)
Epoch: [16][9000/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6482 (2.5646)	Prec@1 38.500 (37.413)	Prec@5 67.000 (68.305)
Epoch: [16][9010/9018]	Time 0.636 (0.615)	Data 0.000 (0.001)	Loss 2.5642 (2.5645)	Prec@1 36.000 (37.413)	Prec@5 67.500 (68.307)
Test: [0/183]	Time 1.205 (1.205)	Loss 2.5092 (2.5092)	Prec@1 37.000 (37.000)	Prec@5 72.500 (72.500)
Test: [10/183]	Time 0.188 (0.293)	Loss 2.0412 (2.1800)	Prec@1 45.000 (43.227)	Prec@5 80.500 (76.727)
Test: [20/183]	Time 0.198 (0.249)	Loss 2.9990 (2.1771)	Prec@1 20.500 (43.143)	Prec@5 62.000 (76.619)
Test: [30/183]	Time 0.189 (0.233)	Loss 3.4293 (2.2424)	Prec@1 13.000 (41.677)	Prec@5 51.000 (75.774)
Test: [40/183]	Time 0.200 (0.223)	Loss 3.0758 (2.2461)	Prec@1 20.500 (42.439)	Prec@5 64.500 (75.073)
Test: [50/183]	Time 0.193 (0.217)	Loss 2.0648 (2.2187)	Prec@1 46.500 (43.441)	Prec@5 76.000 (75.451)
Test: [60/183]	Time 0.202 (0.214)	Loss 2.1645 (2.2718)	Prec@1 44.500 (42.131)	Prec@5 72.000 (74.352)
Test: [70/183]	Time 0.181 (0.212)	Loss 2.4905 (2.2582)	Prec@1 37.500 (42.070)	Prec@5 71.000 (74.789)
Test: [80/183]	Time 0.202 (0.210)	Loss 1.5796 (2.2364)	Prec@1 54.500 (42.568)	Prec@5 90.500 (75.019)
Test: [90/183]	Time 0.185 (0.208)	Loss 3.8913 (2.2647)	Prec@1 12.500 (41.742)	Prec@5 39.500 (74.495)
Test: [100/183]	Time 0.193 (0.207)	Loss 1.3875 (2.2741)	Prec@1 62.000 (41.490)	Prec@5 90.000 (74.292)
Test: [110/183]	Time 0.200 (0.206)	Loss 1.4361 (2.2705)	Prec@1 65.000 (41.667)	Prec@5 87.500 (74.324)
Test: [120/183]	Time 0.189 (0.206)	Loss 2.5758 (2.2788)	Prec@1 38.500 (41.388)	Prec@5 63.000 (74.202)
Test: [130/183]	Time 0.186 (0.205)	Loss 3.6657 (2.2910)	Prec@1 11.000 (40.905)	Prec@5 47.500 (74.130)
Test: [140/183]	Time 0.188 (0.204)	Loss 2.8835 (2.2839)	Prec@1 28.500 (41.248)	Prec@5 58.000 (74.301)
Test: [150/183]	Time 0.186 (0.203)	Loss 0.6629 (2.2681)	Prec@1 84.500 (41.702)	Prec@5 95.000 (74.543)
Test: [160/183]	Time 0.188 (0.202)	Loss 1.9650 (2.2628)	Prec@1 49.000 (41.817)	Prec@5 83.000 (74.674)
Test: [170/183]	Time 0.200 (0.202)	Loss 2.8457 (2.2897)	Prec@1 25.000 (41.339)	Prec@5 67.500 (74.117)
Test: [180/183]	Time 0.183 (0.202)	Loss 2.0120 (2.2983)	Prec@1 52.000 (41.232)	Prec@5 77.500 (73.931)
 * Prec@1 41.252 Prec@5 73.940
Epoch: [17][0/9018]	Time 2.946 (2.946)	Data 2.318 (2.318)	Loss 2.5736 (2.5736)	Prec@1 44.000 (44.000)	Prec@5 64.500 (64.500)
Epoch: [17][10/9018]	Time 0.755 (0.823)	Data 0.001 (0.211)	Loss 2.6784 (2.6096)	Prec@1 36.500 (37.364)	Prec@5 66.500 (67.409)
Epoch: [17][20/9018]	Time 0.591 (0.713)	Data 0.001 (0.111)	Loss 2.6227 (2.6043)	Prec@1 37.000 (36.976)	Prec@5 69.500 (67.976)
Epoch: [17][30/9018]	Time 0.607 (0.680)	Data 0.001 (0.075)	Loss 2.4279 (2.5987)	Prec@1 40.000 (37.371)	Prec@5 69.500 (67.742)
Epoch: [17][40/9018]	Time 0.595 (0.662)	Data 0.001 (0.057)	Loss 2.5073 (2.5871)	Prec@1 40.500 (37.793)	Prec@5 66.500 (67.951)
Epoch: [17][50/9018]	Time 0.589 (0.652)	Data 0.001 (0.046)	Loss 2.6593 (2.5774)	Prec@1 33.000 (37.618)	Prec@5 67.000 (68.314)
Epoch: [17][60/9018]	Time 0.730 (0.647)	Data 0.001 (0.039)	Loss 2.5626 (2.5809)	Prec@1 36.500 (37.492)	Prec@5 67.500 (68.262)
Epoch: [17][70/9018]	Time 0.629 (0.640)	Data 0.001 (0.033)	Loss 2.4227 (2.5749)	Prec@1 40.500 (37.542)	Prec@5 69.500 (68.373)
Epoch: [17][80/9018]	Time 0.594 (0.639)	Data 0.001 (0.029)	Loss 2.5363 (2.5699)	Prec@1 34.000 (37.586)	Prec@5 72.500 (68.457)
Epoch: [17][90/9018]	Time 0.595 (0.635)	Data 0.001 (0.026)	Loss 2.5059 (2.5662)	Prec@1 41.000 (37.599)	Prec@5 73.000 (68.511)
Epoch: [17][100/9018]	Time 0.600 (0.633)	Data 0.001 (0.024)	Loss 2.5718 (2.5614)	Prec@1 41.000 (37.639)	Prec@5 65.000 (68.545)
Epoch: [17][110/9018]	Time 0.609 (0.632)	Data 0.001 (0.022)	Loss 2.6009 (2.5573)	Prec@1 38.500 (37.797)	Prec@5 70.500 (68.667)
Epoch: [17][120/9018]	Time 0.609 (0.629)	Data 0.001 (0.020)	Loss 2.8918 (2.5543)	Prec@1 26.500 (37.661)	Prec@5 60.000 (68.760)
Epoch: [17][130/9018]	Time 0.622 (0.630)	Data 0.001 (0.018)	Loss 2.6925 (2.5548)	Prec@1 35.500 (37.607)	Prec@5 66.000 (68.687)
Epoch: [17][140/9018]	Time 0.602 (0.628)	Data 0.001 (0.017)	Loss 2.4451 (2.5524)	Prec@1 40.500 (37.617)	Prec@5 69.500 (68.688)
Epoch: [17][150/9018]	Time 0.590 (0.627)	Data 0.001 (0.016)	Loss 2.6556 (2.5579)	Prec@1 33.500 (37.503)	Prec@5 69.000 (68.583)
Epoch: [17][160/9018]	Time 0.625 (0.626)	Data 0.001 (0.015)	Loss 2.6034 (2.5573)	Prec@1 39.000 (37.500)	Prec@5 66.500 (68.578)
Epoch: [17][170/9018]	Time 0.607 (0.625)	Data 0.001 (0.014)	Loss 2.6491 (2.5539)	Prec@1 38.000 (37.602)	Prec@5 67.500 (68.605)
Epoch: [17][180/9018]	Time 0.602 (0.625)	Data 0.001 (0.014)	Loss 2.5592 (2.5532)	Prec@1 38.500 (37.630)	Prec@5 69.500 (68.669)
Epoch: [17][190/9018]	Time 0.593 (0.624)	Data 0.001 (0.013)	Loss 2.4456 (2.5520)	Prec@1 42.500 (37.691)	Prec@5 70.500 (68.712)
Epoch: [17][200/9018]	Time 0.603 (0.624)	Data 0.001 (0.012)	Loss 2.4798 (2.5508)	Prec@1 39.000 (37.697)	Prec@5 70.000 (68.756)
Epoch: [17][210/9018]	Time 0.594 (0.624)	Data 0.001 (0.012)	Loss 2.2144 (2.5500)	Prec@1 44.500 (37.704)	Prec@5 74.000 (68.791)
Epoch: [17][220/9018]	Time 0.603 (0.623)	Data 0.001 (0.011)	Loss 2.6142 (2.5505)	Prec@1 40.500 (37.753)	Prec@5 67.500 (68.758)
Epoch: [17][230/9018]	Time 0.614 (0.623)	Data 0.001 (0.011)	Loss 2.5726 (2.5514)	Prec@1 40.500 (37.755)	Prec@5 73.500 (68.768)
Epoch: [17][240/9018]	Time 0.597 (0.622)	Data 0.001 (0.010)	Loss 2.4956 (2.5517)	Prec@1 37.500 (37.766)	Prec@5 73.500 (68.766)
Epoch: [17][250/9018]	Time 0.592 (0.622)	Data 0.001 (0.010)	Loss 2.5942 (2.5530)	Prec@1 37.500 (37.733)	Prec@5 66.000 (68.685)
Epoch: [17][260/9018]	Time 0.594 (0.622)	Data 0.001 (0.010)	Loss 2.4246 (2.5514)	Prec@1 37.000 (37.782)	Prec@5 72.500 (68.764)
Epoch: [17][270/9018]	Time 0.599 (0.621)	Data 0.001 (0.009)	Loss 2.3984 (2.5508)	Prec@1 42.000 (37.823)	Prec@5 69.500 (68.760)
Epoch: [17][280/9018]	Time 0.599 (0.621)	Data 0.001 (0.009)	Loss 2.2632 (2.5498)	Prec@1 45.500 (37.847)	Prec@5 74.500 (68.751)
Epoch: [17][290/9018]	Time 0.630 (0.621)	Data 0.001 (0.009)	Loss 2.5915 (2.5527)	Prec@1 37.000 (37.754)	Prec@5 67.500 (68.667)
Epoch: [17][300/9018]	Time 0.598 (0.621)	Data 0.001 (0.008)	Loss 2.3885 (2.5547)	Prec@1 44.000 (37.733)	Prec@5 73.500 (68.643)
Epoch: [17][310/9018]	Time 0.595 (0.621)	Data 0.001 (0.008)	Loss 2.4874 (2.5542)	Prec@1 39.000 (37.748)	Prec@5 70.500 (68.633)
Epoch: [17][320/9018]	Time 0.622 (0.620)	Data 0.001 (0.008)	Loss 2.5518 (2.5528)	Prec@1 36.000 (37.796)	Prec@5 70.500 (68.657)
Epoch: [17][330/9018]	Time 0.598 (0.620)	Data 0.001 (0.008)	Loss 2.5847 (2.5522)	Prec@1 35.000 (37.801)	Prec@5 70.000 (68.671)
Epoch: [17][340/9018]	Time 0.725 (0.620)	Data 0.001 (0.008)	Loss 2.6180 (2.5551)	Prec@1 35.500 (37.732)	Prec@5 65.000 (68.641)
Epoch: [17][350/9018]	Time 0.606 (0.620)	Data 0.001 (0.007)	Loss 2.5570 (2.5525)	Prec@1 34.500 (37.769)	Prec@5 68.500 (68.702)
Epoch: [17][360/9018]	Time 0.602 (0.620)	Data 0.001 (0.007)	Loss 2.3929 (2.5519)	Prec@1 38.500 (37.769)	Prec@5 70.000 (68.694)
Epoch: [17][370/9018]	Time 0.634 (0.619)	Data 0.001 (0.007)	Loss 2.6228 (2.5519)	Prec@1 34.000 (37.756)	Prec@5 64.500 (68.686)
Epoch: [17][380/9018]	Time 0.600 (0.619)	Data 0.001 (0.007)	Loss 2.5344 (2.5510)	Prec@1 38.000 (37.789)	Prec@5 63.500 (68.706)
Epoch: [17][390/9018]	Time 0.717 (0.619)	Data 0.001 (0.007)	Loss 2.5154 (2.5527)	Prec@1 34.500 (37.726)	Prec@5 68.500 (68.676)
Epoch: [17][400/9018]	Time 0.598 (0.619)	Data 0.001 (0.007)	Loss 2.5510 (2.5523)	Prec@1 41.500 (37.749)	Prec@5 68.500 (68.682)
Epoch: [17][410/9018]	Time 0.629 (0.619)	Data 0.001 (0.006)	Loss 2.3814 (2.5520)	Prec@1 38.000 (37.723)	Prec@5 70.000 (68.664)
Epoch: [17][420/9018]	Time 0.607 (0.619)	Data 0.001 (0.006)	Loss 2.3609 (2.5516)	Prec@1 40.500 (37.728)	Prec@5 77.500 (68.710)
Epoch: [17][430/9018]	Time 0.626 (0.619)	Data 0.001 (0.006)	Loss 2.6540 (2.5517)	Prec@1 35.500 (37.702)	Prec@5 66.000 (68.713)
Epoch: [17][440/9018]	Time 0.617 (0.619)	Data 0.001 (0.006)	Loss 2.4650 (2.5507)	Prec@1 39.000 (37.711)	Prec@5 68.000 (68.709)
Epoch: [17][450/9018]	Time 0.598 (0.618)	Data 0.001 (0.006)	Loss 2.6044 (2.5507)	Prec@1 38.000 (37.663)	Prec@5 69.000 (68.705)
Epoch: [17][460/9018]	Time 0.610 (0.619)	Data 0.001 (0.006)	Loss 2.9343 (2.5522)	Prec@1 33.500 (37.642)	Prec@5 64.000 (68.689)
Epoch: [17][470/9018]	Time 0.594 (0.618)	Data 0.001 (0.006)	Loss 2.7506 (2.5514)	Prec@1 32.000 (37.654)	Prec@5 65.000 (68.690)
Epoch: [17][480/9018]	Time 0.601 (0.618)	Data 0.001 (0.006)	Loss 2.5450 (2.5519)	Prec@1 41.000 (37.654)	Prec@5 67.500 (68.676)
Epoch: [17][490/9018]	Time 0.607 (0.618)	Data 0.001 (0.005)	Loss 2.3982 (2.5526)	Prec@1 39.500 (37.626)	Prec@5 69.500 (68.683)
Epoch: [17][500/9018]	Time 0.628 (0.618)	Data 0.001 (0.005)	Loss 2.2906 (2.5524)	Prec@1 42.500 (37.634)	Prec@5 74.500 (68.697)
Epoch: [17][510/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 2.4898 (2.5523)	Prec@1 36.000 (37.606)	Prec@5 69.000 (68.705)
Epoch: [17][520/9018]	Time 0.590 (0.618)	Data 0.001 (0.005)	Loss 2.7266 (2.5533)	Prec@1 35.000 (37.597)	Prec@5 67.000 (68.682)
Epoch: [17][530/9018]	Time 0.602 (0.618)	Data 0.001 (0.005)	Loss 2.5842 (2.5535)	Prec@1 38.000 (37.572)	Prec@5 66.000 (68.699)
Epoch: [17][540/9018]	Time 0.593 (0.618)	Data 0.001 (0.005)	Loss 2.4946 (2.5530)	Prec@1 41.000 (37.582)	Prec@5 72.500 (68.712)
Epoch: [17][550/9018]	Time 0.608 (0.618)	Data 0.001 (0.005)	Loss 2.6779 (2.5535)	Prec@1 34.000 (37.545)	Prec@5 65.000 (68.708)
Epoch: [17][560/9018]	Time 0.595 (0.618)	Data 0.001 (0.005)	Loss 2.4641 (2.5527)	Prec@1 39.500 (37.553)	Prec@5 70.500 (68.734)
Epoch: [17][570/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.6836 (2.5517)	Prec@1 39.000 (37.557)	Prec@5 70.500 (68.753)
Epoch: [17][580/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 2.2810 (2.5515)	Prec@1 39.000 (37.553)	Prec@5 76.500 (68.758)
Epoch: [17][590/9018]	Time 0.632 (0.618)	Data 0.001 (0.005)	Loss 2.6484 (2.5507)	Prec@1 38.000 (37.569)	Prec@5 66.500 (68.758)
Epoch: [17][600/9018]	Time 0.633 (0.618)	Data 0.001 (0.005)	Loss 2.3768 (2.5514)	Prec@1 41.000 (37.557)	Prec@5 72.500 (68.751)
Epoch: [17][610/9018]	Time 0.632 (0.618)	Data 0.001 (0.005)	Loss 2.5490 (2.5504)	Prec@1 37.500 (37.569)	Prec@5 68.500 (68.773)
Epoch: [17][620/9018]	Time 0.612 (0.618)	Data 0.001 (0.004)	Loss 2.2055 (2.5504)	Prec@1 45.000 (37.568)	Prec@5 73.500 (68.763)
Epoch: [17][630/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.6048 (2.5503)	Prec@1 37.000 (37.571)	Prec@5 67.000 (68.768)
Epoch: [17][640/9018]	Time 0.618 (0.618)	Data 0.001 (0.004)	Loss 2.5248 (2.5499)	Prec@1 41.000 (37.583)	Prec@5 66.000 (68.764)
Epoch: [17][650/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 2.2699 (2.5498)	Prec@1 45.000 (37.589)	Prec@5 73.000 (68.767)
Epoch: [17][660/9018]	Time 0.593 (0.617)	Data 0.001 (0.004)	Loss 2.8327 (2.5499)	Prec@1 37.000 (37.572)	Prec@5 66.000 (68.775)
Epoch: [17][670/9018]	Time 0.762 (0.618)	Data 0.001 (0.004)	Loss 2.4436 (2.5487)	Prec@1 36.000 (37.596)	Prec@5 74.000 (68.807)
Epoch: [17][680/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.5986 (2.5486)	Prec@1 36.500 (37.584)	Prec@5 67.000 (68.795)
Epoch: [17][690/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.6387 (2.5494)	Prec@1 40.000 (37.566)	Prec@5 66.500 (68.779)
Epoch: [17][700/9018]	Time 0.628 (0.617)	Data 0.001 (0.004)	Loss 2.4907 (2.5489)	Prec@1 40.500 (37.586)	Prec@5 67.500 (68.782)
Epoch: [17][710/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.6589 (2.5493)	Prec@1 33.500 (37.568)	Prec@5 65.000 (68.771)
Epoch: [17][720/9018]	Time 0.756 (0.617)	Data 0.001 (0.004)	Loss 2.7705 (2.5490)	Prec@1 32.000 (37.562)	Prec@5 63.500 (68.773)
Epoch: [17][730/9018]	Time 0.620 (0.617)	Data 0.001 (0.004)	Loss 2.6769 (2.5494)	Prec@1 32.500 (37.548)	Prec@5 63.000 (68.757)
Epoch: [17][740/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.7079 (2.5497)	Prec@1 34.000 (37.549)	Prec@5 66.500 (68.749)
Epoch: [17][750/9018]	Time 0.634 (0.617)	Data 0.001 (0.004)	Loss 2.3393 (2.5492)	Prec@1 39.500 (37.553)	Prec@5 73.500 (68.765)
Epoch: [17][760/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.4949 (2.5482)	Prec@1 43.500 (37.601)	Prec@5 69.500 (68.769)
Epoch: [17][770/9018]	Time 0.608 (0.617)	Data 0.001 (0.004)	Loss 2.5930 (2.5475)	Prec@1 35.000 (37.615)	Prec@5 65.000 (68.768)
Epoch: [17][780/9018]	Time 0.607 (0.617)	Data 0.001 (0.004)	Loss 2.5402 (2.5471)	Prec@1 37.000 (37.611)	Prec@5 68.500 (68.764)
Epoch: [17][790/9018]	Time 0.608 (0.617)	Data 0.001 (0.004)	Loss 2.5315 (2.5475)	Prec@1 35.000 (37.610)	Prec@5 68.500 (68.760)
Epoch: [17][800/9018]	Time 0.611 (0.617)	Data 0.001 (0.004)	Loss 2.5909 (2.5472)	Prec@1 33.000 (37.619)	Prec@5 68.500 (68.758)
Epoch: [17][810/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.4821 (2.5467)	Prec@1 42.000 (37.643)	Prec@5 68.500 (68.776)
Epoch: [17][820/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.5869 (2.5480)	Prec@1 38.500 (37.630)	Prec@5 65.500 (68.749)
Epoch: [17][830/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.3589 (2.5474)	Prec@1 40.500 (37.653)	Prec@5 71.500 (68.753)
Epoch: [17][840/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.3397 (2.5473)	Prec@1 41.000 (37.653)	Prec@5 68.000 (68.750)
Epoch: [17][850/9018]	Time 0.628 (0.617)	Data 0.001 (0.003)	Loss 2.4279 (2.5473)	Prec@1 38.500 (37.652)	Prec@5 66.000 (68.751)
Epoch: [17][860/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 2.6026 (2.5474)	Prec@1 35.000 (37.643)	Prec@5 68.000 (68.742)
Epoch: [17][870/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.5265 (2.5479)	Prec@1 38.000 (37.638)	Prec@5 69.000 (68.725)
Epoch: [17][880/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 2.6737 (2.5479)	Prec@1 31.000 (37.637)	Prec@5 63.000 (68.716)
Epoch: [17][890/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 2.4116 (2.5476)	Prec@1 41.000 (37.651)	Prec@5 71.500 (68.721)
Epoch: [17][900/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 2.6330 (2.5475)	Prec@1 33.500 (37.665)	Prec@5 70.000 (68.737)
Epoch: [17][910/9018]	Time 0.622 (0.617)	Data 0.001 (0.003)	Loss 2.5061 (2.5469)	Prec@1 41.500 (37.689)	Prec@5 68.500 (68.755)
Epoch: [17][920/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.3979 (2.5472)	Prec@1 36.500 (37.696)	Prec@5 72.500 (68.744)
Epoch: [17][930/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 2.5355 (2.5474)	Prec@1 38.000 (37.705)	Prec@5 71.500 (68.730)
Epoch: [17][940/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.7053 (2.5483)	Prec@1 33.000 (37.689)	Prec@5 67.000 (68.709)
Epoch: [17][950/9018]	Time 0.620 (0.617)	Data 0.001 (0.003)	Loss 2.5743 (2.5486)	Prec@1 38.500 (37.690)	Prec@5 67.500 (68.689)
Epoch: [17][960/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.1409 (2.5484)	Prec@1 45.500 (37.675)	Prec@5 75.500 (68.677)
Epoch: [17][970/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.6467 (2.5490)	Prec@1 39.500 (37.669)	Prec@5 68.500 (68.660)
Epoch: [17][980/9018]	Time 0.631 (0.617)	Data 0.001 (0.003)	Loss 2.4919 (2.5495)	Prec@1 38.500 (37.657)	Prec@5 71.000 (68.656)
Epoch: [17][990/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.5532 (2.5501)	Prec@1 38.000 (37.646)	Prec@5 69.000 (68.646)
Epoch: [17][1000/9018]	Time 0.727 (0.617)	Data 0.001 (0.003)	Loss 2.6056 (2.5494)	Prec@1 32.000 (37.640)	Prec@5 68.000 (68.666)
Epoch: [17][1010/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 2.5652 (2.5497)	Prec@1 37.000 (37.645)	Prec@5 70.500 (68.660)
Epoch: [17][1020/9018]	Time 0.635 (0.617)	Data 0.001 (0.003)	Loss 2.4466 (2.5487)	Prec@1 37.500 (37.656)	Prec@5 72.000 (68.683)
Epoch: [17][1030/9018]	Time 0.633 (0.617)	Data 0.001 (0.003)	Loss 2.4881 (2.5492)	Prec@1 36.500 (37.635)	Prec@5 72.000 (68.674)
Epoch: [17][1040/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.3297 (2.5490)	Prec@1 41.500 (37.630)	Prec@5 73.500 (68.680)
Epoch: [17][1050/9018]	Time 0.739 (0.617)	Data 0.001 (0.003)	Loss 2.5801 (2.5491)	Prec@1 35.500 (37.630)	Prec@5 70.000 (68.680)
Epoch: [17][1060/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 2.5233 (2.5492)	Prec@1 35.000 (37.622)	Prec@5 71.500 (68.673)
Epoch: [17][1070/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 2.4112 (2.5490)	Prec@1 43.000 (37.624)	Prec@5 70.500 (68.673)
Epoch: [17][1080/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.4483 (2.5492)	Prec@1 38.500 (37.631)	Prec@5 68.000 (68.667)
Epoch: [17][1090/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.6280 (2.5494)	Prec@1 34.000 (37.627)	Prec@5 63.500 (68.670)
Epoch: [17][1100/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.6153 (2.5501)	Prec@1 38.000 (37.617)	Prec@5 69.000 (68.658)
Epoch: [17][1110/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.8779 (2.5508)	Prec@1 29.500 (37.604)	Prec@5 62.000 (68.642)
Epoch: [17][1120/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.7760 (2.5513)	Prec@1 32.000 (37.598)	Prec@5 63.500 (68.629)
Epoch: [17][1130/9018]	Time 0.620 (0.617)	Data 0.001 (0.003)	Loss 2.6107 (2.5521)	Prec@1 39.500 (37.597)	Prec@5 69.500 (68.614)
Epoch: [17][1140/9018]	Time 0.635 (0.617)	Data 0.001 (0.003)	Loss 2.5380 (2.5521)	Prec@1 35.000 (37.592)	Prec@5 68.000 (68.612)
Epoch: [17][1150/9018]	Time 0.637 (0.617)	Data 0.001 (0.003)	Loss 2.6962 (2.5527)	Prec@1 30.000 (37.574)	Prec@5 64.500 (68.597)
Epoch: [17][1160/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.2358 (2.5523)	Prec@1 44.500 (37.584)	Prec@5 76.000 (68.599)
Epoch: [17][1170/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 2.5241 (2.5522)	Prec@1 41.000 (37.578)	Prec@5 71.000 (68.595)
Epoch: [17][1180/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.5364 (2.5521)	Prec@1 42.000 (37.585)	Prec@5 71.000 (68.597)
Epoch: [17][1190/9018]	Time 0.612 (0.617)	Data 0.001 (0.003)	Loss 2.5050 (2.5522)	Prec@1 38.500 (37.587)	Prec@5 68.500 (68.595)
Epoch: [17][1200/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.5817 (2.5527)	Prec@1 37.000 (37.581)	Prec@5 70.000 (68.581)
Epoch: [17][1210/9018]	Time 0.646 (0.617)	Data 0.001 (0.003)	Loss 2.5079 (2.5522)	Prec@1 35.500 (37.588)	Prec@5 70.500 (68.589)
Epoch: [17][1220/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.6531 (2.5530)	Prec@1 36.500 (37.574)	Prec@5 69.500 (68.570)
Epoch: [17][1230/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.4188 (2.5529)	Prec@1 40.500 (37.579)	Prec@5 73.000 (68.570)
Epoch: [17][1240/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.5033 (2.5533)	Prec@1 38.500 (37.580)	Prec@5 68.500 (68.559)
Epoch: [17][1250/9018]	Time 0.632 (0.617)	Data 0.001 (0.003)	Loss 2.4794 (2.5530)	Prec@1 40.500 (37.594)	Prec@5 70.500 (68.566)
Epoch: [17][1260/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 2.5055 (2.5528)	Prec@1 39.000 (37.601)	Prec@5 68.000 (68.571)
Epoch: [17][1270/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.3875 (2.5524)	Prec@1 44.000 (37.606)	Prec@5 70.000 (68.577)
Epoch: [17][1280/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.7500 (2.5520)	Prec@1 33.000 (37.623)	Prec@5 64.500 (68.579)
Epoch: [17][1290/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.5365 (2.5520)	Prec@1 40.500 (37.631)	Prec@5 67.000 (68.570)
Epoch: [17][1300/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.8432 (2.5521)	Prec@1 30.000 (37.627)	Prec@5 62.500 (68.563)
Epoch: [17][1310/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.7517 (2.5521)	Prec@1 34.500 (37.624)	Prec@5 64.000 (68.559)
Epoch: [17][1320/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.5949 (2.5525)	Prec@1 36.000 (37.624)	Prec@5 65.500 (68.550)
Epoch: [17][1330/9018]	Time 0.723 (0.617)	Data 0.001 (0.003)	Loss 2.5077 (2.5529)	Prec@1 35.000 (37.621)	Prec@5 71.000 (68.546)
Epoch: [17][1340/9018]	Time 0.622 (0.617)	Data 0.001 (0.002)	Loss 2.6081 (2.5527)	Prec@1 38.000 (37.628)	Prec@5 67.500 (68.551)
Epoch: [17][1350/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.5166 (2.5524)	Prec@1 36.000 (37.644)	Prec@5 71.000 (68.557)
Epoch: [17][1360/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.5759 (2.5521)	Prec@1 34.500 (37.657)	Prec@5 71.500 (68.557)
Epoch: [17][1370/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.4662 (2.5520)	Prec@1 38.000 (37.659)	Prec@5 67.500 (68.553)
Epoch: [17][1380/9018]	Time 0.746 (0.617)	Data 0.001 (0.002)	Loss 2.6469 (2.5527)	Prec@1 34.000 (37.647)	Prec@5 66.000 (68.537)
Epoch: [17][1390/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.4065 (2.5523)	Prec@1 42.000 (37.656)	Prec@5 76.000 (68.551)
Epoch: [17][1400/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.4572 (2.5522)	Prec@1 37.500 (37.662)	Prec@5 71.500 (68.558)
Epoch: [17][1410/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.5823 (2.5522)	Prec@1 39.000 (37.658)	Prec@5 70.500 (68.557)
Epoch: [17][1420/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.5065 (2.5521)	Prec@1 40.000 (37.671)	Prec@5 68.000 (68.548)
Epoch: [17][1430/9018]	Time 0.636 (0.617)	Data 0.001 (0.002)	Loss 2.5753 (2.5524)	Prec@1 42.500 (37.674)	Prec@5 66.500 (68.539)
Epoch: [17][1440/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.6362 (2.5526)	Prec@1 33.000 (37.662)	Prec@5 68.500 (68.544)
Epoch: [17][1450/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.6340 (2.5529)	Prec@1 39.500 (37.652)	Prec@5 69.000 (68.540)
Epoch: [17][1460/9018]	Time 0.609 (0.617)	Data 0.001 (0.002)	Loss 2.3767 (2.5529)	Prec@1 41.500 (37.654)	Prec@5 71.500 (68.544)
Epoch: [17][1470/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.6064 (2.5528)	Prec@1 36.500 (37.656)	Prec@5 69.000 (68.548)
Epoch: [17][1480/9018]	Time 0.621 (0.617)	Data 0.001 (0.002)	Loss 2.6743 (2.5527)	Prec@1 33.500 (37.663)	Prec@5 67.000 (68.549)
Epoch: [17][1490/9018]	Time 0.638 (0.617)	Data 0.001 (0.002)	Loss 2.6363 (2.5530)	Prec@1 35.000 (37.654)	Prec@5 68.500 (68.538)
Epoch: [17][1500/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.6332 (2.5531)	Prec@1 35.000 (37.650)	Prec@5 66.500 (68.528)
Epoch: [17][1510/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.3106 (2.5533)	Prec@1 35.500 (37.641)	Prec@5 72.500 (68.523)
Epoch: [17][1520/9018]	Time 0.630 (0.617)	Data 0.001 (0.002)	Loss 2.6130 (2.5538)	Prec@1 34.500 (37.634)	Prec@5 66.000 (68.511)
Epoch: [17][1530/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.6175 (2.5542)	Prec@1 33.500 (37.625)	Prec@5 68.000 (68.502)
Epoch: [17][1540/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 2.6678 (2.5540)	Prec@1 39.000 (37.636)	Prec@5 68.500 (68.509)
Epoch: [17][1550/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.8841 (2.5541)	Prec@1 34.500 (37.639)	Prec@5 62.000 (68.507)
Epoch: [17][1560/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.6306 (2.5543)	Prec@1 41.000 (37.636)	Prec@5 67.500 (68.504)
Epoch: [17][1570/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.8088 (2.5544)	Prec@1 29.500 (37.635)	Prec@5 64.000 (68.500)
Epoch: [17][1580/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.4261 (2.5540)	Prec@1 39.500 (37.649)	Prec@5 69.000 (68.506)
Epoch: [17][1590/9018]	Time 0.633 (0.617)	Data 0.001 (0.002)	Loss 2.4953 (2.5543)	Prec@1 38.000 (37.635)	Prec@5 70.000 (68.502)
Epoch: [17][1600/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.3483 (2.5537)	Prec@1 40.000 (37.635)	Prec@5 75.500 (68.522)
Epoch: [17][1610/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.6011 (2.5532)	Prec@1 37.500 (37.638)	Prec@5 67.000 (68.533)
Epoch: [17][1620/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.5785 (2.5531)	Prec@1 39.000 (37.645)	Prec@5 66.500 (68.533)
Epoch: [17][1630/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.5336 (2.5537)	Prec@1 36.000 (37.639)	Prec@5 66.000 (68.521)
Epoch: [17][1640/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.4739 (2.5536)	Prec@1 40.000 (37.643)	Prec@5 70.500 (68.525)
Epoch: [17][1650/9018]	Time 0.633 (0.617)	Data 0.002 (0.002)	Loss 2.5672 (2.5538)	Prec@1 37.000 (37.641)	Prec@5 70.500 (68.524)
Epoch: [17][1660/9018]	Time 0.732 (0.617)	Data 0.001 (0.002)	Loss 2.7408 (2.5542)	Prec@1 34.000 (37.637)	Prec@5 64.000 (68.510)
Epoch: [17][1670/9018]	Time 0.616 (0.617)	Data 0.001 (0.002)	Loss 2.3475 (2.5541)	Prec@1 42.500 (37.639)	Prec@5 73.500 (68.519)
Epoch: [17][1680/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.1832 (2.5541)	Prec@1 46.000 (37.643)	Prec@5 78.000 (68.514)
Epoch: [17][1690/9018]	Time 0.614 (0.617)	Data 0.001 (0.002)	Loss 2.5384 (2.5543)	Prec@1 41.000 (37.643)	Prec@5 70.500 (68.509)
Epoch: [17][1700/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.4769 (2.5546)	Prec@1 42.000 (37.639)	Prec@5 67.500 (68.512)
Epoch: [17][1710/9018]	Time 0.755 (0.617)	Data 0.001 (0.002)	Loss 2.6989 (2.5545)	Prec@1 38.000 (37.643)	Prec@5 67.500 (68.519)
Epoch: [17][1720/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.5855 (2.5546)	Prec@1 36.500 (37.649)	Prec@5 65.500 (68.517)
Epoch: [17][1730/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.5275 (2.5546)	Prec@1 37.000 (37.646)	Prec@5 67.000 (68.511)
Epoch: [17][1740/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.3134 (2.5547)	Prec@1 42.500 (37.641)	Prec@5 72.500 (68.508)
Epoch: [17][1750/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.2837 (2.5544)	Prec@1 41.500 (37.644)	Prec@5 72.500 (68.511)
Epoch: [17][1760/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.6590 (2.5550)	Prec@1 38.500 (37.637)	Prec@5 66.000 (68.498)
Epoch: [17][1770/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.7130 (2.5552)	Prec@1 37.500 (37.630)	Prec@5 64.500 (68.491)
Epoch: [17][1780/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 2.4895 (2.5548)	Prec@1 36.500 (37.633)	Prec@5 71.000 (68.503)
Epoch: [17][1790/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.3589 (2.5544)	Prec@1 43.500 (37.642)	Prec@5 71.500 (68.510)
Epoch: [17][1800/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.6507 (2.5546)	Prec@1 34.000 (37.642)	Prec@5 66.000 (68.507)
Epoch: [17][1810/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.7072 (2.5548)	Prec@1 33.000 (37.633)	Prec@5 66.000 (68.498)
Epoch: [17][1820/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.7241 (2.5551)	Prec@1 36.500 (37.632)	Prec@5 65.500 (68.494)
Epoch: [17][1830/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.6167 (2.5555)	Prec@1 34.500 (37.625)	Prec@5 66.500 (68.486)
Epoch: [17][1840/9018]	Time 0.621 (0.617)	Data 0.001 (0.002)	Loss 2.8030 (2.5558)	Prec@1 32.500 (37.623)	Prec@5 66.000 (68.481)
Epoch: [17][1850/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.4495 (2.5556)	Prec@1 38.000 (37.629)	Prec@5 70.000 (68.487)
Epoch: [17][1860/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.4920 (2.5553)	Prec@1 39.500 (37.635)	Prec@5 72.000 (68.491)
Epoch: [17][1870/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.6132 (2.5552)	Prec@1 41.500 (37.638)	Prec@5 66.500 (68.492)
Epoch: [17][1880/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.7856 (2.5552)	Prec@1 37.000 (37.637)	Prec@5 60.000 (68.488)
Epoch: [17][1890/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.6334 (2.5554)	Prec@1 36.000 (37.632)	Prec@5 68.000 (68.490)
Epoch: [17][1900/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.5246 (2.5552)	Prec@1 36.500 (37.637)	Prec@5 70.000 (68.494)
Epoch: [17][1910/9018]	Time 0.634 (0.617)	Data 0.001 (0.002)	Loss 2.6213 (2.5552)	Prec@1 34.000 (37.634)	Prec@5 69.500 (68.494)
Epoch: [17][1920/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6247 (2.5550)	Prec@1 37.500 (37.640)	Prec@5 68.000 (68.497)
Epoch: [17][1930/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4223 (2.5548)	Prec@1 40.000 (37.640)	Prec@5 71.500 (68.503)
Epoch: [17][1940/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.2536 (2.5548)	Prec@1 40.500 (37.639)	Prec@5 75.500 (68.505)
Epoch: [17][1950/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.5082 (2.5547)	Prec@1 39.500 (37.642)	Prec@5 69.500 (68.508)
Epoch: [17][1960/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.5443 (2.5550)	Prec@1 40.500 (37.634)	Prec@5 70.000 (68.507)
Epoch: [17][1970/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.3065 (2.5550)	Prec@1 40.000 (37.633)	Prec@5 75.500 (68.514)
Epoch: [17][1980/9018]	Time 0.649 (0.616)	Data 0.001 (0.002)	Loss 2.3498 (2.5545)	Prec@1 41.500 (37.639)	Prec@5 71.500 (68.520)
Epoch: [17][1990/9018]	Time 0.736 (0.617)	Data 0.001 (0.002)	Loss 2.5508 (2.5546)	Prec@1 34.500 (37.638)	Prec@5 69.500 (68.518)
Epoch: [17][2000/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.7210 (2.5547)	Prec@1 36.500 (37.638)	Prec@5 63.500 (68.519)
Epoch: [17][2010/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.7047 (2.5547)	Prec@1 36.000 (37.637)	Prec@5 64.500 (68.517)
Epoch: [17][2020/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.3549 (2.5547)	Prec@1 38.000 (37.635)	Prec@5 74.500 (68.518)
Epoch: [17][2030/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5990 (2.5546)	Prec@1 38.500 (37.630)	Prec@5 68.000 (68.523)
Epoch: [17][2040/9018]	Time 0.751 (0.616)	Data 0.001 (0.002)	Loss 2.5137 (2.5544)	Prec@1 41.500 (37.631)	Prec@5 69.500 (68.520)
Epoch: [17][2050/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.5774 (2.5546)	Prec@1 38.000 (37.629)	Prec@5 69.500 (68.516)
Epoch: [17][2060/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6068 (2.5543)	Prec@1 35.500 (37.632)	Prec@5 68.500 (68.524)
Epoch: [17][2070/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5974 (2.5544)	Prec@1 38.500 (37.635)	Prec@5 66.500 (68.519)
Epoch: [17][2080/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.6192 (2.5544)	Prec@1 37.000 (37.629)	Prec@5 65.500 (68.515)
Epoch: [17][2090/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.5912 (2.5544)	Prec@1 36.500 (37.628)	Prec@5 69.500 (68.514)
Epoch: [17][2100/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5539 (2.5548)	Prec@1 42.500 (37.627)	Prec@5 66.500 (68.508)
Epoch: [17][2110/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5113 (2.5550)	Prec@1 42.500 (37.624)	Prec@5 67.500 (68.500)
Epoch: [17][2120/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.5358 (2.5548)	Prec@1 37.000 (37.629)	Prec@5 67.000 (68.506)
Epoch: [17][2130/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.4125 (2.5547)	Prec@1 38.000 (37.627)	Prec@5 73.500 (68.512)
Epoch: [17][2140/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.2938 (2.5548)	Prec@1 47.500 (37.629)	Prec@5 72.000 (68.505)
Epoch: [17][2150/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.5443 (2.5547)	Prec@1 37.500 (37.633)	Prec@5 68.000 (68.509)
Epoch: [17][2160/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5324 (2.5545)	Prec@1 41.000 (37.636)	Prec@5 69.500 (68.505)
Epoch: [17][2170/9018]	Time 0.637 (0.616)	Data 0.001 (0.002)	Loss 2.5062 (2.5549)	Prec@1 38.500 (37.627)	Prec@5 69.500 (68.497)
Epoch: [17][2180/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.6268 (2.5550)	Prec@1 35.500 (37.619)	Prec@5 64.500 (68.489)
Epoch: [17][2190/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5575 (2.5548)	Prec@1 39.500 (37.625)	Prec@5 69.000 (68.496)
Epoch: [17][2200/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.6907 (2.5548)	Prec@1 40.000 (37.625)	Prec@5 67.000 (68.501)
Epoch: [17][2210/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5676 (2.5547)	Prec@1 38.000 (37.626)	Prec@5 67.000 (68.507)
Epoch: [17][2220/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6321 (2.5546)	Prec@1 36.500 (37.624)	Prec@5 68.000 (68.507)
Epoch: [17][2230/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.4558 (2.5544)	Prec@1 39.500 (37.627)	Prec@5 73.000 (68.507)
Epoch: [17][2240/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.6506 (2.5547)	Prec@1 39.000 (37.622)	Prec@5 68.000 (68.500)
Epoch: [17][2250/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.4376 (2.5548)	Prec@1 35.000 (37.619)	Prec@5 69.000 (68.500)
Epoch: [17][2260/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6591 (2.5547)	Prec@1 36.000 (37.621)	Prec@5 67.000 (68.501)
Epoch: [17][2270/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.6410 (2.5551)	Prec@1 36.500 (37.618)	Prec@5 68.500 (68.498)
Epoch: [17][2280/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.4777 (2.5549)	Prec@1 41.000 (37.614)	Prec@5 69.000 (68.500)
Epoch: [17][2290/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6482 (2.5551)	Prec@1 35.000 (37.613)	Prec@5 66.000 (68.497)
Epoch: [17][2300/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.7871 (2.5553)	Prec@1 33.000 (37.608)	Prec@5 62.500 (68.494)
Epoch: [17][2310/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.3296 (2.5552)	Prec@1 41.500 (37.606)	Prec@5 76.500 (68.497)
Epoch: [17][2320/9018]	Time 0.738 (0.616)	Data 0.001 (0.002)	Loss 2.5064 (2.5554)	Prec@1 37.500 (37.601)	Prec@5 72.000 (68.496)
Epoch: [17][2330/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.3747 (2.5554)	Prec@1 40.000 (37.599)	Prec@5 74.000 (68.499)
Epoch: [17][2340/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.7120 (2.5557)	Prec@1 36.500 (37.598)	Prec@5 66.500 (68.496)
Epoch: [17][2350/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4175 (2.5555)	Prec@1 34.500 (37.599)	Prec@5 74.500 (68.501)
Epoch: [17][2360/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.7619 (2.5559)	Prec@1 34.000 (37.590)	Prec@5 61.500 (68.489)
Epoch: [17][2370/9018]	Time 0.733 (0.616)	Data 0.001 (0.002)	Loss 2.5648 (2.5561)	Prec@1 41.000 (37.584)	Prec@5 70.500 (68.485)
Epoch: [17][2380/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.5221 (2.5561)	Prec@1 39.000 (37.583)	Prec@5 65.500 (68.482)
Epoch: [17][2390/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5076 (2.5561)	Prec@1 41.500 (37.584)	Prec@5 72.000 (68.484)
Epoch: [17][2400/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5215 (2.5563)	Prec@1 40.000 (37.578)	Prec@5 69.000 (68.478)
Epoch: [17][2410/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.5518 (2.5564)	Prec@1 36.500 (37.573)	Prec@5 66.500 (68.477)
Epoch: [17][2420/9018]	Time 0.637 (0.616)	Data 0.001 (0.002)	Loss 2.5073 (2.5561)	Prec@1 38.500 (37.581)	Prec@5 67.000 (68.482)
Epoch: [17][2430/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5365 (2.5560)	Prec@1 35.000 (37.582)	Prec@5 72.000 (68.490)
Epoch: [17][2440/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4676 (2.5561)	Prec@1 36.500 (37.580)	Prec@5 67.500 (68.487)
Epoch: [17][2450/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4586 (2.5558)	Prec@1 41.000 (37.581)	Prec@5 70.500 (68.492)
Epoch: [17][2460/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4919 (2.5553)	Prec@1 39.000 (37.590)	Prec@5 70.000 (68.499)
Epoch: [17][2470/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.4076 (2.5550)	Prec@1 42.500 (37.596)	Prec@5 66.500 (68.502)
Epoch: [17][2480/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.4037 (2.5551)	Prec@1 44.500 (37.602)	Prec@5 72.000 (68.504)
Epoch: [17][2490/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4485 (2.5552)	Prec@1 41.500 (37.600)	Prec@5 71.000 (68.504)
Epoch: [17][2500/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.4828 (2.5554)	Prec@1 37.000 (37.595)	Prec@5 68.500 (68.500)
Epoch: [17][2510/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.7138 (2.5555)	Prec@1 35.500 (37.590)	Prec@5 61.500 (68.501)
Epoch: [17][2520/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5106 (2.5553)	Prec@1 39.500 (37.595)	Prec@5 69.000 (68.505)
Epoch: [17][2530/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.6351 (2.5556)	Prec@1 39.000 (37.596)	Prec@5 67.500 (68.496)
Epoch: [17][2540/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.4962 (2.5557)	Prec@1 36.500 (37.592)	Prec@5 72.000 (68.495)
Epoch: [17][2550/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.4962 (2.5557)	Prec@1 39.000 (37.594)	Prec@5 70.500 (68.497)
Epoch: [17][2560/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.6818 (2.5558)	Prec@1 37.000 (37.593)	Prec@5 64.000 (68.495)
Epoch: [17][2570/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6714 (2.5560)	Prec@1 39.500 (37.595)	Prec@5 67.000 (68.489)
Epoch: [17][2580/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6719 (2.5562)	Prec@1 34.500 (37.585)	Prec@5 67.500 (68.489)
Epoch: [17][2590/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4968 (2.5562)	Prec@1 32.500 (37.585)	Prec@5 71.000 (68.492)
Epoch: [17][2600/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.4473 (2.5562)	Prec@1 36.000 (37.581)	Prec@5 71.500 (68.491)
Epoch: [17][2610/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6503 (2.5562)	Prec@1 36.500 (37.577)	Prec@5 68.000 (68.492)
Epoch: [17][2620/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.4614 (2.5561)	Prec@1 42.000 (37.584)	Prec@5 68.500 (68.495)
Epoch: [17][2630/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.7382 (2.5561)	Prec@1 35.000 (37.582)	Prec@5 63.500 (68.494)
Epoch: [17][2640/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.8290 (2.5560)	Prec@1 30.500 (37.579)	Prec@5 62.000 (68.499)
Epoch: [17][2650/9018]	Time 0.762 (0.616)	Data 0.001 (0.002)	Loss 2.5672 (2.5559)	Prec@1 37.500 (37.582)	Prec@5 68.500 (68.502)
Epoch: [17][2660/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.3613 (2.5559)	Prec@1 41.000 (37.577)	Prec@5 71.000 (68.498)
Epoch: [17][2670/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.7228 (2.5560)	Prec@1 36.000 (37.578)	Prec@5 65.500 (68.496)
Epoch: [17][2680/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.5317 (2.5559)	Prec@1 36.500 (37.578)	Prec@5 68.500 (68.498)
Epoch: [17][2690/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5927 (2.5563)	Prec@1 34.000 (37.576)	Prec@5 70.500 (68.493)
Epoch: [17][2700/9018]	Time 0.739 (0.616)	Data 0.001 (0.002)	Loss 2.5871 (2.5563)	Prec@1 35.500 (37.575)	Prec@5 69.000 (68.487)
Epoch: [17][2710/9018]	Time 0.639 (0.616)	Data 0.001 (0.002)	Loss 2.5746 (2.5564)	Prec@1 39.000 (37.575)	Prec@5 72.000 (68.490)
Epoch: [17][2720/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.5704 (2.5564)	Prec@1 37.000 (37.572)	Prec@5 71.500 (68.493)
Epoch: [17][2730/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4307 (2.5562)	Prec@1 42.500 (37.578)	Prec@5 71.000 (68.499)
Epoch: [17][2740/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.7093 (2.5563)	Prec@1 36.000 (37.579)	Prec@5 62.500 (68.495)
Epoch: [17][2750/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.4409 (2.5563)	Prec@1 44.000 (37.579)	Prec@5 69.500 (68.496)
Epoch: [17][2760/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.7773 (2.5565)	Prec@1 33.000 (37.576)	Prec@5 63.500 (68.494)
Epoch: [17][2770/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4343 (2.5569)	Prec@1 40.500 (37.570)	Prec@5 71.500 (68.485)
Epoch: [17][2780/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.3984 (2.5572)	Prec@1 44.000 (37.567)	Prec@5 72.000 (68.478)
Epoch: [17][2790/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.3429 (2.5573)	Prec@1 43.000 (37.564)	Prec@5 71.000 (68.478)
Epoch: [17][2800/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.3774 (2.5570)	Prec@1 39.500 (37.573)	Prec@5 72.500 (68.483)
Epoch: [17][2810/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.3917 (2.5568)	Prec@1 41.000 (37.574)	Prec@5 71.500 (68.482)
Epoch: [17][2820/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7034 (2.5569)	Prec@1 33.000 (37.573)	Prec@5 61.000 (68.480)
Epoch: [17][2830/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4848 (2.5567)	Prec@1 41.000 (37.578)	Prec@5 74.000 (68.485)
Epoch: [17][2840/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6151 (2.5569)	Prec@1 39.000 (37.577)	Prec@5 67.500 (68.482)
Epoch: [17][2850/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.6638 (2.5571)	Prec@1 36.000 (37.573)	Prec@5 64.000 (68.480)
Epoch: [17][2860/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6095 (2.5573)	Prec@1 34.000 (37.566)	Prec@5 69.500 (68.472)
Epoch: [17][2870/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6080 (2.5574)	Prec@1 37.000 (37.560)	Prec@5 69.000 (68.469)
Epoch: [17][2880/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.7507 (2.5574)	Prec@1 32.000 (37.556)	Prec@5 65.500 (68.470)
Epoch: [17][2890/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.5747 (2.5576)	Prec@1 36.500 (37.551)	Prec@5 71.000 (68.464)
Epoch: [17][2900/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.4702 (2.5576)	Prec@1 40.500 (37.555)	Prec@5 68.000 (68.460)
Epoch: [17][2910/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8388 (2.5576)	Prec@1 30.500 (37.552)	Prec@5 61.500 (68.460)
Epoch: [17][2920/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.7321 (2.5577)	Prec@1 34.000 (37.545)	Prec@5 63.000 (68.457)
Epoch: [17][2930/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.7510 (2.5577)	Prec@1 33.500 (37.544)	Prec@5 64.500 (68.460)
Epoch: [17][2940/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4928 (2.5577)	Prec@1 40.500 (37.540)	Prec@5 67.000 (68.455)
Epoch: [17][2950/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4475 (2.5579)	Prec@1 42.000 (37.545)	Prec@5 72.000 (68.453)
Epoch: [17][2960/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6996 (2.5578)	Prec@1 35.000 (37.545)	Prec@5 63.000 (68.458)
Epoch: [17][2970/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.7882 (2.5578)	Prec@1 37.000 (37.545)	Prec@5 66.500 (68.459)
Epoch: [17][2980/9018]	Time 0.734 (0.616)	Data 0.001 (0.002)	Loss 2.4275 (2.5579)	Prec@1 34.000 (37.544)	Prec@5 67.500 (68.456)
Epoch: [17][2990/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.4966 (2.5582)	Prec@1 38.000 (37.537)	Prec@5 69.000 (68.451)
Epoch: [17][3000/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.8082 (2.5582)	Prec@1 29.000 (37.540)	Prec@5 62.500 (68.448)
Epoch: [17][3010/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.7718 (2.5584)	Prec@1 34.500 (37.533)	Prec@5 64.000 (68.443)
Epoch: [17][3020/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.4121 (2.5584)	Prec@1 42.000 (37.532)	Prec@5 71.000 (68.446)
Epoch: [17][3030/9018]	Time 0.749 (0.616)	Data 0.001 (0.002)	Loss 2.7210 (2.5588)	Prec@1 29.500 (37.524)	Prec@5 64.000 (68.437)
Epoch: [17][3040/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8130 (2.5590)	Prec@1 33.500 (37.524)	Prec@5 64.000 (68.433)
Epoch: [17][3050/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5694 (2.5590)	Prec@1 41.000 (37.526)	Prec@5 70.000 (68.436)
Epoch: [17][3060/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.6745 (2.5590)	Prec@1 40.500 (37.527)	Prec@5 68.000 (68.436)
Epoch: [17][3070/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.4332 (2.5590)	Prec@1 40.500 (37.532)	Prec@5 69.500 (68.437)
Epoch: [17][3080/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.7209 (2.5591)	Prec@1 36.500 (37.530)	Prec@5 65.500 (68.435)
Epoch: [17][3090/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4732 (2.5590)	Prec@1 34.000 (37.530)	Prec@5 71.500 (68.438)
Epoch: [17][3100/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.4801 (2.5590)	Prec@1 39.500 (37.526)	Prec@5 68.500 (68.438)
Epoch: [17][3110/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6357 (2.5589)	Prec@1 33.000 (37.527)	Prec@5 68.500 (68.443)
Epoch: [17][3120/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4742 (2.5591)	Prec@1 37.500 (37.524)	Prec@5 72.000 (68.441)
Epoch: [17][3130/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4703 (2.5590)	Prec@1 39.000 (37.523)	Prec@5 71.500 (68.443)
Epoch: [17][3140/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.8297 (2.5592)	Prec@1 30.500 (37.520)	Prec@5 60.500 (68.439)
Epoch: [17][3150/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6400 (2.5592)	Prec@1 37.000 (37.517)	Prec@5 68.500 (68.440)
Epoch: [17][3160/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5402 (2.5593)	Prec@1 35.500 (37.516)	Prec@5 67.500 (68.433)
Epoch: [17][3170/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.3484 (2.5592)	Prec@1 39.500 (37.514)	Prec@5 72.000 (68.436)
Epoch: [17][3180/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5218 (2.5590)	Prec@1 35.000 (37.515)	Prec@5 70.000 (68.441)
Epoch: [17][3190/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.6674 (2.5589)	Prec@1 36.000 (37.515)	Prec@5 67.500 (68.440)
Epoch: [17][3200/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.4511 (2.5587)	Prec@1 38.500 (37.521)	Prec@5 68.500 (68.442)
Epoch: [17][3210/9018]	Time 0.636 (0.616)	Data 0.001 (0.001)	Loss 2.6865 (2.5591)	Prec@1 37.000 (37.512)	Prec@5 66.500 (68.435)
Epoch: [17][3220/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.3893 (2.5590)	Prec@1 35.500 (37.509)	Prec@5 74.000 (68.436)
Epoch: [17][3230/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.5080 (2.5590)	Prec@1 37.000 (37.509)	Prec@5 68.000 (68.436)
Epoch: [17][3240/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.6077 (2.5591)	Prec@1 35.000 (37.509)	Prec@5 70.500 (68.432)
Epoch: [17][3250/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.7318 (2.5588)	Prec@1 31.000 (37.510)	Prec@5 66.500 (68.438)
Epoch: [17][3260/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.5432 (2.5587)	Prec@1 39.000 (37.513)	Prec@5 70.500 (68.439)
Epoch: [17][3270/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.5225 (2.5588)	Prec@1 41.500 (37.513)	Prec@5 67.000 (68.436)
Epoch: [17][3280/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.6194 (2.5588)	Prec@1 34.000 (37.514)	Prec@5 65.500 (68.437)
Epoch: [17][3290/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.6783 (2.5588)	Prec@1 35.500 (37.512)	Prec@5 70.500 (68.436)
Epoch: [17][3300/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.3752 (2.5586)	Prec@1 38.000 (37.513)	Prec@5 74.000 (68.442)
Epoch: [17][3310/9018]	Time 0.716 (0.616)	Data 0.001 (0.001)	Loss 2.4907 (2.5585)	Prec@1 39.500 (37.514)	Prec@5 70.500 (68.445)
Epoch: [17][3320/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.6579 (2.5582)	Prec@1 31.000 (37.519)	Prec@5 67.500 (68.448)
Epoch: [17][3330/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.5278 (2.5581)	Prec@1 38.500 (37.521)	Prec@5 69.000 (68.450)
Epoch: [17][3340/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.6749 (2.5580)	Prec@1 37.000 (37.525)	Prec@5 65.000 (68.453)
Epoch: [17][3350/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.6375 (2.5577)	Prec@1 35.000 (37.532)	Prec@5 68.000 (68.460)
Epoch: [17][3360/9018]	Time 0.720 (0.616)	Data 0.001 (0.001)	Loss 2.5249 (2.5579)	Prec@1 35.000 (37.526)	Prec@5 71.000 (68.456)
Epoch: [17][3370/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.6037 (2.5580)	Prec@1 35.500 (37.522)	Prec@5 69.000 (68.454)
Epoch: [17][3380/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.5347 (2.5580)	Prec@1 36.000 (37.519)	Prec@5 70.000 (68.454)
Epoch: [17][3390/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.5609 (2.5580)	Prec@1 32.500 (37.520)	Prec@5 68.500 (68.457)
Epoch: [17][3400/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.7350 (2.5582)	Prec@1 33.500 (37.519)	Prec@5 69.000 (68.457)
Epoch: [17][3410/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.5570 (2.5581)	Prec@1 39.500 (37.520)	Prec@5 69.500 (68.459)
Epoch: [17][3420/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.6344 (2.5583)	Prec@1 40.500 (37.517)	Prec@5 65.500 (68.456)
Epoch: [17][3430/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.5384 (2.5585)	Prec@1 38.000 (37.516)	Prec@5 70.500 (68.453)
Epoch: [17][3440/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.7054 (2.5584)	Prec@1 38.000 (37.518)	Prec@5 64.500 (68.452)
Epoch: [17][3450/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.7001 (2.5586)	Prec@1 37.000 (37.516)	Prec@5 67.000 (68.450)
Epoch: [17][3460/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.4939 (2.5587)	Prec@1 38.500 (37.518)	Prec@5 70.000 (68.446)
Epoch: [17][3470/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.5116 (2.5587)	Prec@1 38.500 (37.516)	Prec@5 71.000 (68.446)
Epoch: [17][3480/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.7619 (2.5588)	Prec@1 31.500 (37.513)	Prec@5 62.000 (68.440)
Epoch: [17][3490/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.6901 (2.5589)	Prec@1 39.500 (37.513)	Prec@5 67.500 (68.437)
Epoch: [17][3500/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.5294 (2.5590)	Prec@1 34.000 (37.512)	Prec@5 69.000 (68.437)
Epoch: [17][3510/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5697 (2.5590)	Prec@1 36.000 (37.507)	Prec@5 71.000 (68.436)
Epoch: [17][3520/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.5969 (2.5592)	Prec@1 32.500 (37.501)	Prec@5 68.000 (68.434)
Epoch: [17][3530/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6456 (2.5595)	Prec@1 36.000 (37.497)	Prec@5 67.000 (68.431)
Epoch: [17][3540/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.6353 (2.5595)	Prec@1 36.000 (37.498)	Prec@5 68.000 (68.432)
Epoch: [17][3550/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.5994 (2.5595)	Prec@1 35.000 (37.498)	Prec@5 69.000 (68.430)
Epoch: [17][3560/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.5991 (2.5596)	Prec@1 39.500 (37.497)	Prec@5 66.500 (68.429)
Epoch: [17][3570/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.5803 (2.5595)	Prec@1 37.000 (37.495)	Prec@5 68.000 (68.430)
Epoch: [17][3580/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.5006 (2.5593)	Prec@1 37.500 (37.501)	Prec@5 69.000 (68.435)
Epoch: [17][3590/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.3603 (2.5593)	Prec@1 42.000 (37.504)	Prec@5 74.500 (68.438)
Epoch: [17][3600/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.7751 (2.5594)	Prec@1 33.000 (37.498)	Prec@5 64.000 (68.438)
Epoch: [17][3610/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.7979 (2.5597)	Prec@1 41.000 (37.494)	Prec@5 62.500 (68.430)
Epoch: [17][3620/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.3888 (2.5596)	Prec@1 42.500 (37.494)	Prec@5 68.500 (68.432)
Epoch: [17][3630/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6938 (2.5597)	Prec@1 33.500 (37.488)	Prec@5 64.000 (68.431)
Epoch: [17][3640/9018]	Time 0.717 (0.616)	Data 0.001 (0.001)	Loss 2.2650 (2.5598)	Prec@1 43.000 (37.485)	Prec@5 75.500 (68.428)
Epoch: [17][3650/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.4872 (2.5600)	Prec@1 38.500 (37.484)	Prec@5 70.000 (68.424)
Epoch: [17][3660/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.7373 (2.5601)	Prec@1 33.000 (37.478)	Prec@5 62.500 (68.421)
Epoch: [17][3670/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.6365 (2.5602)	Prec@1 34.500 (37.476)	Prec@5 68.000 (68.424)
Epoch: [17][3680/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.4170 (2.5601)	Prec@1 44.000 (37.480)	Prec@5 70.000 (68.423)
Epoch: [17][3690/9018]	Time 0.718 (0.616)	Data 0.001 (0.001)	Loss 2.4088 (2.5601)	Prec@1 39.500 (37.479)	Prec@5 71.500 (68.424)
Epoch: [17][3700/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.4623 (2.5603)	Prec@1 43.500 (37.480)	Prec@5 69.500 (68.422)
Epoch: [17][3710/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.5580 (2.5604)	Prec@1 35.000 (37.477)	Prec@5 68.000 (68.420)
Epoch: [17][3720/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.6070 (2.5603)	Prec@1 35.000 (37.478)	Prec@5 67.500 (68.420)
Epoch: [17][3730/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.5111 (2.5603)	Prec@1 40.500 (37.479)	Prec@5 67.500 (68.417)
Epoch: [17][3740/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.5313 (2.5604)	Prec@1 38.500 (37.480)	Prec@5 67.500 (68.417)
Epoch: [17][3750/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.4716 (2.5602)	Prec@1 39.000 (37.485)	Prec@5 72.000 (68.420)
Epoch: [17][3760/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.5333 (2.5603)	Prec@1 35.500 (37.480)	Prec@5 69.000 (68.420)
Epoch: [17][3770/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.6383 (2.5604)	Prec@1 37.000 (37.478)	Prec@5 65.000 (68.416)
Epoch: [17][3780/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.3748 (2.5604)	Prec@1 41.500 (37.477)	Prec@5 70.000 (68.415)
Epoch: [17][3790/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.5452 (2.5603)	Prec@1 35.500 (37.477)	Prec@5 66.500 (68.414)
Epoch: [17][3800/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.5131 (2.5603)	Prec@1 36.500 (37.480)	Prec@5 67.500 (68.414)
Epoch: [17][3810/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5491 (2.5603)	Prec@1 35.500 (37.480)	Prec@5 72.500 (68.415)
Epoch: [17][3820/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.6351 (2.5603)	Prec@1 37.000 (37.480)	Prec@5 67.000 (68.415)
Epoch: [17][3830/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.7854 (2.5604)	Prec@1 32.500 (37.480)	Prec@5 64.500 (68.412)
Epoch: [17][3840/9018]	Time 0.640 (0.616)	Data 0.001 (0.001)	Loss 2.5662 (2.5605)	Prec@1 36.500 (37.472)	Prec@5 69.000 (68.410)
Epoch: [17][3850/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.6754 (2.5604)	Prec@1 37.500 (37.476)	Prec@5 64.500 (68.411)
Epoch: [17][3860/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.5198 (2.5601)	Prec@1 41.000 (37.482)	Prec@5 68.000 (68.417)
Epoch: [17][3870/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.6681 (2.5601)	Prec@1 39.500 (37.483)	Prec@5 64.500 (68.414)
Epoch: [17][3880/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6096 (2.5603)	Prec@1 38.000 (37.481)	Prec@5 67.500 (68.414)
Epoch: [17][3890/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.7856 (2.5604)	Prec@1 31.500 (37.478)	Prec@5 66.000 (68.414)
Epoch: [17][3900/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.3158 (2.5605)	Prec@1 39.000 (37.477)	Prec@5 74.500 (68.415)
Epoch: [17][3910/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.7131 (2.5606)	Prec@1 36.000 (37.477)	Prec@5 64.000 (68.412)
Epoch: [17][3920/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.6302 (2.5606)	Prec@1 35.000 (37.476)	Prec@5 66.500 (68.410)
Epoch: [17][3930/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.4660 (2.5607)	Prec@1 38.500 (37.478)	Prec@5 69.500 (68.408)
Epoch: [17][3940/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.5337 (2.5607)	Prec@1 37.000 (37.477)	Prec@5 69.500 (68.407)
Epoch: [17][3950/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6364 (2.5607)	Prec@1 39.000 (37.478)	Prec@5 67.000 (68.408)
Epoch: [17][3960/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6837 (2.5605)	Prec@1 33.500 (37.479)	Prec@5 66.000 (68.410)
Epoch: [17][3970/9018]	Time 0.726 (0.616)	Data 0.001 (0.001)	Loss 2.6805 (2.5605)	Prec@1 33.500 (37.480)	Prec@5 68.500 (68.410)
Epoch: [17][3980/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.4811 (2.5604)	Prec@1 41.000 (37.481)	Prec@5 69.000 (68.407)
Epoch: [17][3990/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.6082 (2.5602)	Prec@1 38.000 (37.482)	Prec@5 67.000 (68.410)
Epoch: [17][4000/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.7623 (2.5602)	Prec@1 34.000 (37.484)	Prec@5 61.500 (68.411)
Epoch: [17][4010/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.5297 (2.5605)	Prec@1 38.500 (37.478)	Prec@5 67.500 (68.404)
Epoch: [17][4020/9018]	Time 0.721 (0.616)	Data 0.001 (0.001)	Loss 2.5036 (2.5603)	Prec@1 34.500 (37.477)	Prec@5 67.000 (68.406)
Epoch: [17][4030/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.5501 (2.5602)	Prec@1 38.500 (37.481)	Prec@5 67.000 (68.407)
Epoch: [17][4040/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.5646 (2.5601)	Prec@1 38.000 (37.481)	Prec@5 67.000 (68.407)
Epoch: [17][4050/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.3382 (2.5601)	Prec@1 40.000 (37.482)	Prec@5 70.500 (68.403)
Epoch: [17][4060/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.4651 (2.5600)	Prec@1 40.500 (37.487)	Prec@5 72.000 (68.409)
Epoch: [17][4070/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5006 (2.5598)	Prec@1 38.000 (37.487)	Prec@5 69.000 (68.409)
Epoch: [17][4080/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.5544 (2.5599)	Prec@1 34.000 (37.485)	Prec@5 70.500 (68.407)
Epoch: [17][4090/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.6266 (2.5602)	Prec@1 40.500 (37.479)	Prec@5 66.000 (68.400)
Epoch: [17][4100/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.7138 (2.5603)	Prec@1 37.500 (37.479)	Prec@5 69.000 (68.400)
Epoch: [17][4110/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.3793 (2.5603)	Prec@1 40.000 (37.477)	Prec@5 72.000 (68.401)
Epoch: [17][4120/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5319 (2.5603)	Prec@1 38.500 (37.476)	Prec@5 63.500 (68.401)
Epoch: [17][4130/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.6285 (2.5603)	Prec@1 33.000 (37.474)	Prec@5 69.500 (68.398)
Epoch: [17][4140/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.7831 (2.5604)	Prec@1 33.000 (37.475)	Prec@5 62.500 (68.397)
Epoch: [17][4150/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.4128 (2.5602)	Prec@1 35.000 (37.478)	Prec@5 73.000 (68.401)
Epoch: [17][4160/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6978 (2.5603)	Prec@1 35.000 (37.479)	Prec@5 63.000 (68.400)
Epoch: [17][4170/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.8179 (2.5603)	Prec@1 29.000 (37.477)	Prec@5 64.500 (68.399)
Epoch: [17][4180/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.6727 (2.5602)	Prec@1 35.500 (37.480)	Prec@5 68.000 (68.400)
Epoch: [17][4190/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.5196 (2.5604)	Prec@1 37.500 (37.480)	Prec@5 68.000 (68.398)
Epoch: [17][4200/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.6640 (2.5604)	Prec@1 37.000 (37.480)	Prec@5 67.000 (68.397)
Epoch: [17][4210/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5920 (2.5605)	Prec@1 37.000 (37.480)	Prec@5 69.500 (68.395)
Epoch: [17][4220/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.5087 (2.5604)	Prec@1 39.500 (37.481)	Prec@5 71.500 (68.398)
Epoch: [17][4230/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.4550 (2.5603)	Prec@1 32.500 (37.481)	Prec@5 68.500 (68.400)
Epoch: [17][4240/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.3142 (2.5601)	Prec@1 43.500 (37.485)	Prec@5 71.500 (68.405)
Epoch: [17][4250/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.3800 (2.5601)	Prec@1 42.500 (37.485)	Prec@5 73.000 (68.405)
Epoch: [17][4260/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.4439 (2.5599)	Prec@1 42.500 (37.488)	Prec@5 71.000 (68.409)
Epoch: [17][4270/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.6024 (2.5599)	Prec@1 39.500 (37.489)	Prec@5 66.500 (68.409)
Epoch: [17][4280/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.7081 (2.5599)	Prec@1 33.000 (37.490)	Prec@5 65.500 (68.410)
Epoch: [17][4290/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.8089 (2.5601)	Prec@1 29.500 (37.487)	Prec@5 63.500 (68.407)
Epoch: [17][4300/9018]	Time 0.732 (0.616)	Data 0.001 (0.001)	Loss 2.5016 (2.5602)	Prec@1 37.500 (37.484)	Prec@5 66.500 (68.403)
Epoch: [17][4310/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.5948 (2.5602)	Prec@1 36.000 (37.482)	Prec@5 67.500 (68.400)
Epoch: [17][4320/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.4942 (2.5603)	Prec@1 39.000 (37.482)	Prec@5 68.500 (68.396)
Epoch: [17][4330/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.7822 (2.5605)	Prec@1 34.500 (37.477)	Prec@5 66.000 (68.391)
Epoch: [17][4340/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.4239 (2.5606)	Prec@1 38.500 (37.477)	Prec@5 72.000 (68.390)
Epoch: [17][4350/9018]	Time 0.736 (0.616)	Data 0.001 (0.001)	Loss 2.6310 (2.5606)	Prec@1 34.000 (37.472)	Prec@5 65.500 (68.387)
Epoch: [17][4360/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.2251 (2.5605)	Prec@1 46.000 (37.473)	Prec@5 74.000 (68.392)
Epoch: [17][4370/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.4174 (2.5606)	Prec@1 38.000 (37.472)	Prec@5 72.000 (68.388)
Epoch: [17][4380/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6485 (2.5605)	Prec@1 36.500 (37.474)	Prec@5 66.000 (68.390)
Epoch: [17][4390/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7465 (2.5605)	Prec@1 33.000 (37.473)	Prec@5 65.500 (68.392)
Epoch: [17][4400/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.6708 (2.5605)	Prec@1 38.000 (37.476)	Prec@5 64.500 (68.393)
Epoch: [17][4410/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5073 (2.5607)	Prec@1 39.000 (37.476)	Prec@5 69.000 (68.388)
Epoch: [17][4420/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5351 (2.5606)	Prec@1 36.000 (37.477)	Prec@5 67.500 (68.389)
Epoch: [17][4430/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4116 (2.5606)	Prec@1 44.500 (37.478)	Prec@5 71.500 (68.389)
Epoch: [17][4440/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4938 (2.5606)	Prec@1 42.000 (37.478)	Prec@5 69.500 (68.388)
Epoch: [17][4450/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.6186 (2.5607)	Prec@1 34.500 (37.477)	Prec@5 65.000 (68.388)
Epoch: [17][4460/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.5884 (2.5606)	Prec@1 38.500 (37.474)	Prec@5 67.500 (68.389)
Epoch: [17][4470/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.5020 (2.5606)	Prec@1 42.000 (37.475)	Prec@5 63.000 (68.390)
Epoch: [17][4480/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6091 (2.5606)	Prec@1 36.000 (37.475)	Prec@5 68.000 (68.389)
Epoch: [17][4490/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4714 (2.5605)	Prec@1 37.500 (37.478)	Prec@5 69.500 (68.391)
Epoch: [17][4500/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7427 (2.5606)	Prec@1 36.000 (37.476)	Prec@5 62.000 (68.386)
Epoch: [17][4510/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6458 (2.5606)	Prec@1 37.500 (37.478)	Prec@5 70.000 (68.386)
Epoch: [17][4520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5951 (2.5606)	Prec@1 35.000 (37.480)	Prec@5 69.500 (68.387)
Epoch: [17][4530/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4088 (2.5605)	Prec@1 40.000 (37.481)	Prec@5 69.500 (68.387)
Epoch: [17][4540/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5755 (2.5605)	Prec@1 34.500 (37.482)	Prec@5 69.000 (68.387)
Epoch: [17][4550/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5295 (2.5605)	Prec@1 46.000 (37.485)	Prec@5 69.000 (68.385)
Epoch: [17][4560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6497 (2.5604)	Prec@1 35.500 (37.488)	Prec@5 65.500 (68.387)
Epoch: [17][4570/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4244 (2.5604)	Prec@1 43.500 (37.486)	Prec@5 70.500 (68.385)
Epoch: [17][4580/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.4062 (2.5604)	Prec@1 36.500 (37.487)	Prec@5 72.000 (68.384)
Epoch: [17][4590/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6787 (2.5606)	Prec@1 38.000 (37.484)	Prec@5 66.500 (68.382)
Epoch: [17][4600/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5637 (2.5606)	Prec@1 34.000 (37.483)	Prec@5 68.000 (68.381)
Epoch: [17][4610/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4303 (2.5607)	Prec@1 39.000 (37.482)	Prec@5 74.000 (68.381)
Epoch: [17][4620/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5573 (2.5606)	Prec@1 36.500 (37.483)	Prec@5 65.000 (68.381)
Epoch: [17][4630/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.6729 (2.5607)	Prec@1 36.500 (37.481)	Prec@5 66.500 (68.381)
Epoch: [17][4640/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7542 (2.5606)	Prec@1 34.500 (37.483)	Prec@5 67.000 (68.383)
Epoch: [17][4650/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5059 (2.5608)	Prec@1 37.000 (37.480)	Prec@5 68.500 (68.378)
Epoch: [17][4660/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5249 (2.5608)	Prec@1 35.500 (37.480)	Prec@5 71.000 (68.377)
Epoch: [17][4670/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4757 (2.5607)	Prec@1 38.000 (37.480)	Prec@5 69.000 (68.378)
Epoch: [17][4680/9018]	Time 0.717 (0.615)	Data 0.001 (0.001)	Loss 2.7789 (2.5607)	Prec@1 35.500 (37.482)	Prec@5 61.000 (68.378)
Epoch: [17][4690/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7412 (2.5607)	Prec@1 39.500 (37.480)	Prec@5 65.500 (68.377)
Epoch: [17][4700/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6649 (2.5607)	Prec@1 37.500 (37.478)	Prec@5 64.500 (68.374)
Epoch: [17][4710/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6333 (2.5607)	Prec@1 34.000 (37.477)	Prec@5 67.500 (68.374)
Epoch: [17][4720/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5378 (2.5606)	Prec@1 37.500 (37.476)	Prec@5 67.500 (68.374)
Epoch: [17][4730/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7457 (2.5607)	Prec@1 33.000 (37.475)	Prec@5 67.000 (68.371)
Epoch: [17][4740/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4516 (2.5607)	Prec@1 42.000 (37.475)	Prec@5 70.500 (68.371)
Epoch: [17][4750/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5144 (2.5607)	Prec@1 40.500 (37.477)	Prec@5 69.500 (68.370)
Epoch: [17][4760/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7482 (2.5607)	Prec@1 34.000 (37.477)	Prec@5 67.000 (68.370)
Epoch: [17][4770/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5591 (2.5606)	Prec@1 36.500 (37.478)	Prec@5 67.500 (68.371)
Epoch: [17][4780/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6451 (2.5605)	Prec@1 36.000 (37.479)	Prec@5 65.500 (68.372)
Epoch: [17][4790/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5784 (2.5606)	Prec@1 34.500 (37.476)	Prec@5 70.000 (68.373)
Epoch: [17][4800/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5929 (2.5605)	Prec@1 39.500 (37.475)	Prec@5 71.000 (68.375)
Epoch: [17][4810/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5393 (2.5603)	Prec@1 40.000 (37.475)	Prec@5 67.500 (68.379)
Epoch: [17][4820/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8349 (2.5603)	Prec@1 33.500 (37.476)	Prec@5 65.500 (68.380)
Epoch: [17][4830/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4099 (2.5604)	Prec@1 38.500 (37.477)	Prec@5 74.500 (68.380)
Epoch: [17][4840/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5400 (2.5603)	Prec@1 33.500 (37.476)	Prec@5 71.500 (68.380)
Epoch: [17][4850/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4266 (2.5603)	Prec@1 38.000 (37.479)	Prec@5 70.500 (68.379)
Epoch: [17][4860/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.8751 (2.5604)	Prec@1 30.000 (37.474)	Prec@5 61.500 (68.376)
Epoch: [17][4870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6630 (2.5605)	Prec@1 35.000 (37.473)	Prec@5 70.000 (68.375)
Epoch: [17][4880/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4995 (2.5605)	Prec@1 39.000 (37.472)	Prec@5 68.500 (68.373)
Epoch: [17][4890/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7176 (2.5606)	Prec@1 30.500 (37.469)	Prec@5 65.500 (68.373)
Epoch: [17][4900/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4890 (2.5606)	Prec@1 35.500 (37.469)	Prec@5 69.500 (68.371)
Epoch: [17][4910/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4416 (2.5606)	Prec@1 39.000 (37.469)	Prec@5 72.000 (68.372)
Epoch: [17][4920/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5200 (2.5604)	Prec@1 39.500 (37.471)	Prec@5 71.000 (68.376)
Epoch: [17][4930/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.3552 (2.5603)	Prec@1 44.500 (37.474)	Prec@5 71.000 (68.376)
Epoch: [17][4940/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6403 (2.5603)	Prec@1 36.000 (37.473)	Prec@5 67.000 (68.378)
Epoch: [17][4950/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7207 (2.5604)	Prec@1 34.000 (37.472)	Prec@5 65.000 (68.377)
Epoch: [17][4960/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.2747 (2.5602)	Prec@1 44.500 (37.476)	Prec@5 72.500 (68.380)
Epoch: [17][4970/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6449 (2.5603)	Prec@1 33.500 (37.473)	Prec@5 65.500 (68.379)
Epoch: [17][4980/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8301 (2.5604)	Prec@1 31.500 (37.475)	Prec@5 64.000 (68.378)
Epoch: [17][4990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5509 (2.5603)	Prec@1 36.500 (37.477)	Prec@5 68.500 (68.379)
Epoch: [17][5000/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6356 (2.5604)	Prec@1 35.000 (37.477)	Prec@5 69.000 (68.378)
Epoch: [17][5010/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.3842 (2.5602)	Prec@1 38.500 (37.480)	Prec@5 69.000 (68.380)
Epoch: [17][5020/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6116 (2.5604)	Prec@1 38.000 (37.477)	Prec@5 66.500 (68.380)
Epoch: [17][5030/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5581 (2.5604)	Prec@1 36.000 (37.477)	Prec@5 69.500 (68.380)
Epoch: [17][5040/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3809 (2.5603)	Prec@1 38.000 (37.476)	Prec@5 72.000 (68.381)
Epoch: [17][5050/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6207 (2.5604)	Prec@1 33.500 (37.472)	Prec@5 69.500 (68.378)
Epoch: [17][5060/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.4703 (2.5602)	Prec@1 36.500 (37.474)	Prec@5 70.000 (68.381)
Epoch: [17][5070/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4633 (2.5601)	Prec@1 35.000 (37.477)	Prec@5 71.500 (68.385)
Epoch: [17][5080/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7033 (2.5602)	Prec@1 32.500 (37.474)	Prec@5 66.000 (68.383)
Epoch: [17][5090/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3635 (2.5601)	Prec@1 41.500 (37.477)	Prec@5 72.000 (68.382)
Epoch: [17][5100/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6075 (2.5600)	Prec@1 33.500 (37.479)	Prec@5 70.000 (68.386)
Epoch: [17][5110/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6777 (2.5600)	Prec@1 37.500 (37.480)	Prec@5 67.500 (68.387)
Epoch: [17][5120/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5882 (2.5600)	Prec@1 38.000 (37.479)	Prec@5 68.500 (68.387)
Epoch: [17][5130/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3245 (2.5600)	Prec@1 44.500 (37.481)	Prec@5 72.500 (68.387)
Epoch: [17][5140/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4113 (2.5600)	Prec@1 38.500 (37.479)	Prec@5 72.000 (68.387)
Epoch: [17][5150/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6399 (2.5601)	Prec@1 39.500 (37.477)	Prec@5 71.000 (68.388)
Epoch: [17][5160/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6801 (2.5601)	Prec@1 34.500 (37.478)	Prec@5 64.000 (68.386)
Epoch: [17][5170/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6825 (2.5602)	Prec@1 36.500 (37.477)	Prec@5 70.500 (68.386)
Epoch: [17][5180/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7664 (2.5602)	Prec@1 31.500 (37.476)	Prec@5 65.500 (68.384)
Epoch: [17][5190/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6859 (2.5604)	Prec@1 34.500 (37.474)	Prec@5 65.500 (68.380)
Epoch: [17][5200/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6142 (2.5603)	Prec@1 32.000 (37.475)	Prec@5 68.000 (68.383)
Epoch: [17][5210/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5426 (2.5603)	Prec@1 42.500 (37.476)	Prec@5 68.500 (68.384)
Epoch: [17][5220/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4877 (2.5603)	Prec@1 38.000 (37.476)	Prec@5 69.500 (68.387)
Epoch: [17][5230/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4960 (2.5601)	Prec@1 44.000 (37.477)	Prec@5 67.500 (68.389)
Epoch: [17][5240/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5694 (2.5600)	Prec@1 37.500 (37.479)	Prec@5 67.000 (68.392)
Epoch: [17][5250/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5404 (2.5601)	Prec@1 38.000 (37.478)	Prec@5 70.500 (68.394)
Epoch: [17][5260/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5913 (2.5600)	Prec@1 36.500 (37.478)	Prec@5 70.500 (68.394)
Epoch: [17][5270/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7614 (2.5601)	Prec@1 35.500 (37.477)	Prec@5 67.500 (68.393)
Epoch: [17][5280/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5510 (2.5601)	Prec@1 38.000 (37.477)	Prec@5 71.500 (68.393)
Epoch: [17][5290/9018]	Time 0.756 (0.615)	Data 0.001 (0.001)	Loss 2.3802 (2.5599)	Prec@1 38.500 (37.479)	Prec@5 75.500 (68.399)
Epoch: [17][5300/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6094 (2.5598)	Prec@1 37.500 (37.483)	Prec@5 66.500 (68.403)
Epoch: [17][5310/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4815 (2.5596)	Prec@1 37.500 (37.483)	Prec@5 68.000 (68.405)
Epoch: [17][5320/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6005 (2.5598)	Prec@1 38.000 (37.480)	Prec@5 68.000 (68.401)
Epoch: [17][5330/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7173 (2.5597)	Prec@1 37.500 (37.482)	Prec@5 66.000 (68.402)
Epoch: [17][5340/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.5983 (2.5596)	Prec@1 32.500 (37.483)	Prec@5 67.000 (68.403)
Epoch: [17][5350/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6725 (2.5596)	Prec@1 34.500 (37.483)	Prec@5 66.000 (68.403)
Epoch: [17][5360/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2345 (2.5597)	Prec@1 43.500 (37.485)	Prec@5 73.500 (68.401)
Epoch: [17][5370/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4767 (2.5597)	Prec@1 34.500 (37.487)	Prec@5 70.500 (68.400)
Epoch: [17][5380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6168 (2.5597)	Prec@1 42.000 (37.484)	Prec@5 68.500 (68.399)
Epoch: [17][5390/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5430 (2.5597)	Prec@1 33.000 (37.485)	Prec@5 67.500 (68.399)
Epoch: [17][5400/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3864 (2.5597)	Prec@1 41.000 (37.487)	Prec@5 72.000 (68.398)
Epoch: [17][5410/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6271 (2.5597)	Prec@1 35.500 (37.486)	Prec@5 65.500 (68.396)
Epoch: [17][5420/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7880 (2.5597)	Prec@1 31.000 (37.486)	Prec@5 63.000 (68.396)
Epoch: [17][5430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5706 (2.5598)	Prec@1 36.500 (37.486)	Prec@5 70.000 (68.396)
Epoch: [17][5440/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5423 (2.5598)	Prec@1 42.000 (37.488)	Prec@5 69.000 (68.394)
Epoch: [17][5450/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6043 (2.5598)	Prec@1 37.000 (37.489)	Prec@5 64.500 (68.394)
Epoch: [17][5460/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5618 (2.5597)	Prec@1 38.000 (37.492)	Prec@5 67.000 (68.395)
Epoch: [17][5470/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6646 (2.5597)	Prec@1 34.000 (37.493)	Prec@5 69.500 (68.396)
Epoch: [17][5480/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.9541 (2.5598)	Prec@1 30.500 (37.491)	Prec@5 58.500 (68.395)
Epoch: [17][5490/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6882 (2.5599)	Prec@1 38.500 (37.491)	Prec@5 64.000 (68.391)
Epoch: [17][5500/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.4864 (2.5598)	Prec@1 44.000 (37.493)	Prec@5 70.500 (68.391)
Epoch: [17][5510/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4916 (2.5598)	Prec@1 38.500 (37.493)	Prec@5 69.000 (68.392)
Epoch: [17][5520/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4123 (2.5597)	Prec@1 40.500 (37.495)	Prec@5 69.500 (68.392)
Epoch: [17][5530/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5430 (2.5598)	Prec@1 38.500 (37.495)	Prec@5 67.000 (68.393)
Epoch: [17][5540/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5439 (2.5598)	Prec@1 38.000 (37.494)	Prec@5 67.500 (68.393)
Epoch: [17][5550/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3975 (2.5598)	Prec@1 37.500 (37.493)	Prec@5 72.000 (68.393)
Epoch: [17][5560/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6529 (2.5599)	Prec@1 33.000 (37.493)	Prec@5 66.500 (68.392)
Epoch: [17][5570/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4328 (2.5599)	Prec@1 38.000 (37.492)	Prec@5 69.500 (68.391)
Epoch: [17][5580/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5861 (2.5599)	Prec@1 37.000 (37.492)	Prec@5 68.000 (68.390)
Epoch: [17][5590/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7686 (2.5599)	Prec@1 29.500 (37.493)	Prec@5 63.000 (68.390)
Epoch: [17][5600/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6116 (2.5600)	Prec@1 39.000 (37.492)	Prec@5 70.000 (68.389)
Epoch: [17][5610/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7480 (2.5602)	Prec@1 33.000 (37.491)	Prec@5 64.500 (68.387)
Epoch: [17][5620/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.6407 (2.5603)	Prec@1 34.000 (37.487)	Prec@5 64.000 (68.386)
Epoch: [17][5630/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4790 (2.5603)	Prec@1 42.000 (37.487)	Prec@5 69.000 (68.384)
Epoch: [17][5640/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.7487 (2.5604)	Prec@1 30.000 (37.485)	Prec@5 62.500 (68.381)
Epoch: [17][5650/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7697 (2.5605)	Prec@1 33.500 (37.482)	Prec@5 62.500 (68.379)
Epoch: [17][5660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6131 (2.5604)	Prec@1 39.000 (37.481)	Prec@5 66.000 (68.382)
Epoch: [17][5670/9018]	Time 0.761 (0.615)	Data 0.001 (0.001)	Loss 2.2639 (2.5604)	Prec@1 45.500 (37.484)	Prec@5 76.000 (68.382)
Epoch: [17][5680/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8355 (2.5604)	Prec@1 35.000 (37.484)	Prec@5 61.500 (68.381)
Epoch: [17][5690/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4999 (2.5604)	Prec@1 37.000 (37.486)	Prec@5 68.500 (68.379)
Epoch: [17][5700/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5584 (2.5604)	Prec@1 36.000 (37.486)	Prec@5 71.000 (68.380)
Epoch: [17][5710/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.8567 (2.5604)	Prec@1 32.500 (37.485)	Prec@5 61.500 (68.379)
Epoch: [17][5720/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5867 (2.5604)	Prec@1 34.000 (37.485)	Prec@5 66.000 (68.381)
Epoch: [17][5730/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.4013 (2.5604)	Prec@1 40.000 (37.486)	Prec@5 71.000 (68.380)
Epoch: [17][5740/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5612 (2.5605)	Prec@1 34.500 (37.486)	Prec@5 70.500 (68.376)
Epoch: [17][5750/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6518 (2.5605)	Prec@1 33.500 (37.484)	Prec@5 67.000 (68.375)
Epoch: [17][5760/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5494 (2.5606)	Prec@1 38.000 (37.482)	Prec@5 71.500 (68.375)
Epoch: [17][5770/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6167 (2.5607)	Prec@1 37.500 (37.481)	Prec@5 66.500 (68.374)
Epoch: [17][5780/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.3667 (2.5607)	Prec@1 37.500 (37.478)	Prec@5 74.500 (68.375)
Epoch: [17][5790/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7835 (2.5608)	Prec@1 35.500 (37.478)	Prec@5 60.500 (68.374)
Epoch: [17][5800/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.8173 (2.5608)	Prec@1 35.500 (37.478)	Prec@5 62.500 (68.371)
Epoch: [17][5810/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5282 (2.5608)	Prec@1 43.500 (37.479)	Prec@5 69.000 (68.373)
Epoch: [17][5820/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.7139 (2.5608)	Prec@1 33.000 (37.479)	Prec@5 66.500 (68.372)
Epoch: [17][5830/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4699 (2.5608)	Prec@1 37.500 (37.479)	Prec@5 66.000 (68.372)
Epoch: [17][5840/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6101 (2.5608)	Prec@1 40.000 (37.479)	Prec@5 68.000 (68.372)
Epoch: [17][5850/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7632 (2.5609)	Prec@1 32.500 (37.479)	Prec@5 64.500 (68.371)
Epoch: [17][5860/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6816 (2.5608)	Prec@1 32.000 (37.480)	Prec@5 67.000 (68.374)
Epoch: [17][5870/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5967 (2.5609)	Prec@1 37.000 (37.478)	Prec@5 68.000 (68.373)
Epoch: [17][5880/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4378 (2.5609)	Prec@1 39.000 (37.476)	Prec@5 71.000 (68.370)
Epoch: [17][5890/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5131 (2.5609)	Prec@1 37.000 (37.477)	Prec@5 69.000 (68.371)
Epoch: [17][5900/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.9015 (2.5609)	Prec@1 34.000 (37.479)	Prec@5 61.500 (68.369)
Epoch: [17][5910/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5928 (2.5610)	Prec@1 39.500 (37.476)	Prec@5 69.000 (68.370)
Epoch: [17][5920/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5542 (2.5611)	Prec@1 40.000 (37.475)	Prec@5 65.500 (68.364)
Epoch: [17][5930/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6892 (2.5611)	Prec@1 34.500 (37.476)	Prec@5 63.000 (68.364)
Epoch: [17][5940/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5610 (2.5611)	Prec@1 39.500 (37.476)	Prec@5 67.500 (68.364)
Epoch: [17][5950/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.6109 (2.5610)	Prec@1 34.500 (37.477)	Prec@5 68.000 (68.364)
Epoch: [17][5960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3822 (2.5609)	Prec@1 40.000 (37.480)	Prec@5 70.500 (68.367)
Epoch: [17][5970/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7612 (2.5609)	Prec@1 34.500 (37.480)	Prec@5 60.500 (68.367)
Epoch: [17][5980/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4432 (2.5609)	Prec@1 42.000 (37.482)	Prec@5 66.500 (68.368)
Epoch: [17][5990/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6528 (2.5608)	Prec@1 34.000 (37.483)	Prec@5 68.500 (68.369)
Epoch: [17][6000/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.4717 (2.5608)	Prec@1 40.000 (37.482)	Prec@5 68.500 (68.370)
Epoch: [17][6010/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5284 (2.5608)	Prec@1 36.000 (37.482)	Prec@5 71.500 (68.372)
Epoch: [17][6020/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6297 (2.5608)	Prec@1 38.000 (37.483)	Prec@5 64.500 (68.373)
Epoch: [17][6030/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6900 (2.5607)	Prec@1 32.000 (37.482)	Prec@5 64.000 (68.375)
Epoch: [17][6040/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4821 (2.5608)	Prec@1 38.500 (37.481)	Prec@5 68.000 (68.372)
Epoch: [17][6050/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7002 (2.5608)	Prec@1 35.500 (37.482)	Prec@5 64.500 (68.371)
Epoch: [17][6060/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5153 (2.5609)	Prec@1 34.000 (37.481)	Prec@5 67.000 (68.369)
Epoch: [17][6070/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4922 (2.5608)	Prec@1 38.000 (37.484)	Prec@5 68.500 (68.370)
Epoch: [17][6080/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4367 (2.5608)	Prec@1 39.000 (37.484)	Prec@5 70.500 (68.368)
Epoch: [17][6090/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3631 (2.5608)	Prec@1 38.000 (37.486)	Prec@5 74.500 (68.369)
Epoch: [17][6100/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4858 (2.5608)	Prec@1 38.500 (37.487)	Prec@5 70.500 (68.370)
Epoch: [17][6110/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6930 (2.5608)	Prec@1 36.000 (37.486)	Prec@5 66.500 (68.370)
Epoch: [17][6120/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4695 (2.5607)	Prec@1 36.000 (37.487)	Prec@5 69.500 (68.370)
Epoch: [17][6130/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.3567 (2.5607)	Prec@1 43.500 (37.487)	Prec@5 74.500 (68.374)
Epoch: [17][6140/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7378 (2.5608)	Prec@1 35.500 (37.486)	Prec@5 64.500 (68.373)
Epoch: [17][6150/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.3780 (2.5608)	Prec@1 38.500 (37.485)	Prec@5 72.500 (68.373)
Epoch: [17][6160/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5914 (2.5608)	Prec@1 37.500 (37.486)	Prec@5 65.500 (68.371)
Epoch: [17][6170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.9211 (2.5609)	Prec@1 31.500 (37.483)	Prec@5 61.000 (68.368)
Epoch: [17][6180/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4381 (2.5610)	Prec@1 39.000 (37.481)	Prec@5 72.500 (68.367)
Epoch: [17][6190/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4697 (2.5608)	Prec@1 38.000 (37.482)	Prec@5 69.000 (68.368)
Epoch: [17][6200/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6139 (2.5608)	Prec@1 35.500 (37.484)	Prec@5 65.500 (68.371)
Epoch: [17][6210/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4822 (2.5607)	Prec@1 39.000 (37.486)	Prec@5 70.500 (68.373)
Epoch: [17][6220/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5647 (2.5606)	Prec@1 36.500 (37.487)	Prec@5 69.500 (68.375)
Epoch: [17][6230/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4821 (2.5607)	Prec@1 38.500 (37.486)	Prec@5 69.000 (68.373)
Epoch: [17][6240/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5406 (2.5606)	Prec@1 37.000 (37.486)	Prec@5 64.500 (68.372)
Epoch: [17][6250/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5873 (2.5606)	Prec@1 40.500 (37.489)	Prec@5 67.000 (68.371)
Epoch: [17][6260/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5973 (2.5606)	Prec@1 37.500 (37.489)	Prec@5 69.500 (68.371)
Epoch: [17][6270/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5473 (2.5606)	Prec@1 35.000 (37.489)	Prec@5 67.500 (68.370)
Epoch: [17][6280/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.6947 (2.5606)	Prec@1 38.500 (37.488)	Prec@5 66.000 (68.370)
Epoch: [17][6290/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5017 (2.5607)	Prec@1 39.500 (37.487)	Prec@5 74.000 (68.370)
Epoch: [17][6300/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5176 (2.5606)	Prec@1 38.500 (37.487)	Prec@5 69.500 (68.372)
Epoch: [17][6310/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6846 (2.5606)	Prec@1 34.000 (37.486)	Prec@5 64.000 (68.372)
Epoch: [17][6320/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5533 (2.5606)	Prec@1 37.500 (37.486)	Prec@5 69.500 (68.374)
Epoch: [17][6330/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.4173 (2.5605)	Prec@1 43.000 (37.489)	Prec@5 72.500 (68.375)
Epoch: [17][6340/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4591 (2.5606)	Prec@1 42.000 (37.488)	Prec@5 72.500 (68.375)
Epoch: [17][6350/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4775 (2.5606)	Prec@1 37.500 (37.483)	Prec@5 70.500 (68.373)
Epoch: [17][6360/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4765 (2.5606)	Prec@1 44.000 (37.484)	Prec@5 69.000 (68.372)
Epoch: [17][6370/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6456 (2.5607)	Prec@1 33.500 (37.482)	Prec@5 68.500 (68.372)
Epoch: [17][6380/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6168 (2.5607)	Prec@1 36.000 (37.481)	Prec@5 67.000 (68.370)
Epoch: [17][6390/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5575 (2.5607)	Prec@1 36.500 (37.479)	Prec@5 70.000 (68.370)
Epoch: [17][6400/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4741 (2.5607)	Prec@1 38.000 (37.479)	Prec@5 69.000 (68.369)
Epoch: [17][6410/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4090 (2.5607)	Prec@1 37.000 (37.478)	Prec@5 72.000 (68.371)
Epoch: [17][6420/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4791 (2.5607)	Prec@1 34.500 (37.475)	Prec@5 67.500 (68.370)
Epoch: [17][6430/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3131 (2.5608)	Prec@1 45.500 (37.474)	Prec@5 73.000 (68.370)
Epoch: [17][6440/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7146 (2.5609)	Prec@1 37.500 (37.474)	Prec@5 72.000 (68.368)
Epoch: [17][6450/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8418 (2.5608)	Prec@1 34.500 (37.475)	Prec@5 64.000 (68.369)
Epoch: [17][6460/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5496 (2.5609)	Prec@1 39.000 (37.473)	Prec@5 70.500 (68.368)
Epoch: [17][6470/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3624 (2.5608)	Prec@1 42.000 (37.474)	Prec@5 71.500 (68.368)
Epoch: [17][6480/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4280 (2.5609)	Prec@1 43.000 (37.473)	Prec@5 70.000 (68.368)
Epoch: [17][6490/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4054 (2.5609)	Prec@1 41.500 (37.473)	Prec@5 73.000 (68.368)
Epoch: [17][6500/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6201 (2.5610)	Prec@1 38.000 (37.473)	Prec@5 67.000 (68.364)
Epoch: [17][6510/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3046 (2.5609)	Prec@1 45.000 (37.475)	Prec@5 73.000 (68.366)
Epoch: [17][6520/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6089 (2.5609)	Prec@1 35.500 (37.473)	Prec@5 66.500 (68.364)
Epoch: [17][6530/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6261 (2.5609)	Prec@1 35.500 (37.472)	Prec@5 68.500 (68.364)
Epoch: [17][6540/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6674 (2.5611)	Prec@1 35.500 (37.468)	Prec@5 63.000 (68.362)
Epoch: [17][6550/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4816 (2.5611)	Prec@1 44.500 (37.470)	Prec@5 70.000 (68.361)
Epoch: [17][6560/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.8355 (2.5612)	Prec@1 33.000 (37.469)	Prec@5 62.500 (68.361)
Epoch: [17][6570/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6092 (2.5611)	Prec@1 38.500 (37.469)	Prec@5 67.500 (68.359)
Epoch: [17][6580/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6091 (2.5612)	Prec@1 38.000 (37.469)	Prec@5 66.500 (68.359)
Epoch: [17][6590/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5080 (2.5612)	Prec@1 37.000 (37.468)	Prec@5 67.000 (68.359)
Epoch: [17][6600/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.6680 (2.5612)	Prec@1 33.000 (37.466)	Prec@5 67.000 (68.362)
Epoch: [17][6610/9018]	Time 0.711 (0.615)	Data 0.001 (0.001)	Loss 2.7321 (2.5613)	Prec@1 36.000 (37.465)	Prec@5 68.500 (68.361)
Epoch: [17][6620/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4449 (2.5612)	Prec@1 39.500 (37.467)	Prec@5 69.500 (68.363)
Epoch: [17][6630/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0628 (2.5612)	Prec@1 45.500 (37.466)	Prec@5 77.000 (68.362)
Epoch: [17][6640/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5632 (2.5613)	Prec@1 36.000 (37.466)	Prec@5 68.500 (68.361)
Epoch: [17][6650/9018]	Time 0.587 (0.615)	Data 0.001 (0.001)	Loss 2.4377 (2.5612)	Prec@1 41.500 (37.466)	Prec@5 69.500 (68.361)
Epoch: [17][6660/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.7261 (2.5613)	Prec@1 32.500 (37.466)	Prec@5 68.500 (68.359)
Epoch: [17][6670/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4002 (2.5614)	Prec@1 38.000 (37.465)	Prec@5 76.000 (68.361)
Epoch: [17][6680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8198 (2.5615)	Prec@1 35.500 (37.460)	Prec@5 60.500 (68.357)
Epoch: [17][6690/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5631 (2.5615)	Prec@1 40.500 (37.462)	Prec@5 63.000 (68.356)
Epoch: [17][6700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6467 (2.5615)	Prec@1 37.500 (37.462)	Prec@5 71.500 (68.356)
Epoch: [17][6710/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5869 (2.5615)	Prec@1 33.500 (37.463)	Prec@5 69.500 (68.355)
Epoch: [17][6720/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5639 (2.5615)	Prec@1 38.500 (37.465)	Prec@5 65.000 (68.356)
Epoch: [17][6730/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5551 (2.5615)	Prec@1 36.500 (37.467)	Prec@5 67.000 (68.356)
Epoch: [17][6740/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6443 (2.5614)	Prec@1 36.000 (37.468)	Prec@5 71.000 (68.357)
Epoch: [17][6750/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6184 (2.5615)	Prec@1 34.000 (37.467)	Prec@5 71.000 (68.358)
Epoch: [17][6760/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4587 (2.5615)	Prec@1 37.000 (37.465)	Prec@5 73.500 (68.357)
Epoch: [17][6770/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4322 (2.5615)	Prec@1 39.500 (37.464)	Prec@5 69.500 (68.357)
Epoch: [17][6780/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5549 (2.5615)	Prec@1 36.500 (37.463)	Prec@5 70.500 (68.359)
Epoch: [17][6790/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5712 (2.5616)	Prec@1 40.000 (37.462)	Prec@5 66.500 (68.357)
Epoch: [17][6800/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6714 (2.5617)	Prec@1 33.500 (37.463)	Prec@5 67.000 (68.355)
Epoch: [17][6810/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4371 (2.5617)	Prec@1 39.500 (37.463)	Prec@5 69.000 (68.352)
Epoch: [17][6820/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6352 (2.5618)	Prec@1 31.500 (37.461)	Prec@5 68.500 (68.352)
Epoch: [17][6830/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6592 (2.5617)	Prec@1 37.500 (37.463)	Prec@5 69.500 (68.353)
Epoch: [17][6840/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6771 (2.5617)	Prec@1 32.500 (37.463)	Prec@5 64.500 (68.355)
Epoch: [17][6850/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6641 (2.5618)	Prec@1 32.000 (37.459)	Prec@5 69.000 (68.354)
Epoch: [17][6860/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2937 (2.5617)	Prec@1 48.500 (37.462)	Prec@5 78.500 (68.357)
Epoch: [17][6870/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7924 (2.5617)	Prec@1 36.000 (37.462)	Prec@5 64.000 (68.358)
Epoch: [17][6880/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6654 (2.5617)	Prec@1 37.000 (37.462)	Prec@5 63.500 (68.355)
Epoch: [17][6890/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4565 (2.5617)	Prec@1 39.000 (37.463)	Prec@5 72.500 (68.354)
Epoch: [17][6900/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3491 (2.5618)	Prec@1 39.500 (37.463)	Prec@5 72.000 (68.354)
Epoch: [17][6910/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4340 (2.5617)	Prec@1 40.500 (37.466)	Prec@5 71.000 (68.356)
Epoch: [17][6920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3970 (2.5617)	Prec@1 46.000 (37.466)	Prec@5 69.000 (68.355)
Epoch: [17][6930/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7028 (2.5618)	Prec@1 38.500 (37.467)	Prec@5 65.500 (68.354)
Epoch: [17][6940/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.5287 (2.5619)	Prec@1 39.500 (37.464)	Prec@5 69.000 (68.353)
Epoch: [17][6950/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6077 (2.5619)	Prec@1 36.500 (37.465)	Prec@5 68.000 (68.351)
Epoch: [17][6960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4052 (2.5619)	Prec@1 40.000 (37.464)	Prec@5 68.500 (68.351)
Epoch: [17][6970/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5453 (2.5619)	Prec@1 35.500 (37.464)	Prec@5 69.000 (68.350)
Epoch: [17][6980/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4989 (2.5619)	Prec@1 37.500 (37.464)	Prec@5 67.500 (68.349)
Epoch: [17][6990/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.5243 (2.5619)	Prec@1 41.500 (37.464)	Prec@5 67.000 (68.347)
Epoch: [17][7000/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5548 (2.5619)	Prec@1 40.000 (37.465)	Prec@5 66.500 (68.346)
Epoch: [17][7010/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6315 (2.5620)	Prec@1 35.000 (37.466)	Prec@5 64.000 (68.343)
Epoch: [17][7020/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5722 (2.5620)	Prec@1 38.500 (37.466)	Prec@5 66.500 (68.340)
Epoch: [17][7030/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4539 (2.5620)	Prec@1 40.500 (37.465)	Prec@5 73.000 (68.341)
Epoch: [17][7040/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4679 (2.5621)	Prec@1 43.500 (37.466)	Prec@5 67.000 (68.339)
Epoch: [17][7050/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4526 (2.5621)	Prec@1 41.500 (37.466)	Prec@5 70.500 (68.341)
Epoch: [17][7060/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8155 (2.5621)	Prec@1 28.500 (37.466)	Prec@5 64.500 (68.340)
Epoch: [17][7070/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5455 (2.5622)	Prec@1 37.000 (37.462)	Prec@5 71.500 (68.338)
Epoch: [17][7080/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7795 (2.5622)	Prec@1 35.000 (37.461)	Prec@5 66.500 (68.338)
Epoch: [17][7090/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4631 (2.5623)	Prec@1 38.500 (37.460)	Prec@5 70.500 (68.339)
Epoch: [17][7100/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4442 (2.5622)	Prec@1 39.000 (37.463)	Prec@5 67.500 (68.340)
Epoch: [17][7110/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4695 (2.5622)	Prec@1 40.000 (37.462)	Prec@5 73.000 (68.339)
Epoch: [17][7120/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6792 (2.5622)	Prec@1 33.000 (37.461)	Prec@5 65.000 (68.339)
Epoch: [17][7130/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4924 (2.5622)	Prec@1 42.500 (37.462)	Prec@5 69.500 (68.339)
Epoch: [17][7140/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5720 (2.5622)	Prec@1 39.500 (37.461)	Prec@5 65.500 (68.341)
Epoch: [17][7150/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5029 (2.5622)	Prec@1 37.000 (37.464)	Prec@5 69.000 (68.338)
Epoch: [17][7160/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6752 (2.5622)	Prec@1 39.000 (37.465)	Prec@5 61.500 (68.338)
Epoch: [17][7170/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5279 (2.5622)	Prec@1 36.500 (37.463)	Prec@5 69.500 (68.339)
Epoch: [17][7180/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5197 (2.5622)	Prec@1 38.000 (37.463)	Prec@5 69.000 (68.339)
Epoch: [17][7190/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6886 (2.5623)	Prec@1 32.500 (37.461)	Prec@5 66.000 (68.335)
Epoch: [17][7200/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3320 (2.5622)	Prec@1 41.500 (37.462)	Prec@5 74.500 (68.338)
Epoch: [17][7210/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3241 (2.5622)	Prec@1 41.000 (37.462)	Prec@5 70.000 (68.338)
Epoch: [17][7220/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.7024 (2.5623)	Prec@1 34.000 (37.461)	Prec@5 65.500 (68.335)
Epoch: [17][7230/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4201 (2.5623)	Prec@1 39.500 (37.460)	Prec@5 69.500 (68.335)
Epoch: [17][7240/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3594 (2.5623)	Prec@1 42.500 (37.460)	Prec@5 69.500 (68.335)
Epoch: [17][7250/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5264 (2.5623)	Prec@1 42.500 (37.461)	Prec@5 67.500 (68.334)
Epoch: [17][7260/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4063 (2.5624)	Prec@1 37.500 (37.459)	Prec@5 71.000 (68.332)
Epoch: [17][7270/9018]	Time 0.767 (0.615)	Data 0.001 (0.001)	Loss 2.4192 (2.5624)	Prec@1 39.500 (37.459)	Prec@5 70.500 (68.334)
Epoch: [17][7280/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4972 (2.5624)	Prec@1 39.500 (37.459)	Prec@5 73.000 (68.334)
Epoch: [17][7290/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5328 (2.5624)	Prec@1 35.000 (37.457)	Prec@5 69.000 (68.335)
Epoch: [17][7300/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4696 (2.5624)	Prec@1 40.500 (37.457)	Prec@5 68.000 (68.335)
Epoch: [17][7310/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3794 (2.5624)	Prec@1 43.500 (37.458)	Prec@5 71.500 (68.335)
Epoch: [17][7320/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.6298 (2.5625)	Prec@1 33.500 (37.458)	Prec@5 65.000 (68.335)
Epoch: [17][7330/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5394 (2.5625)	Prec@1 38.000 (37.459)	Prec@5 71.000 (68.335)
Epoch: [17][7340/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4334 (2.5625)	Prec@1 35.500 (37.459)	Prec@5 70.500 (68.333)
Epoch: [17][7350/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4963 (2.5625)	Prec@1 40.000 (37.458)	Prec@5 71.000 (68.333)
Epoch: [17][7360/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5415 (2.5625)	Prec@1 35.000 (37.460)	Prec@5 71.500 (68.335)
Epoch: [17][7370/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6467 (2.5624)	Prec@1 37.000 (37.461)	Prec@5 64.500 (68.335)
Epoch: [17][7380/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3649 (2.5623)	Prec@1 40.000 (37.464)	Prec@5 72.500 (68.335)
Epoch: [17][7390/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7896 (2.5624)	Prec@1 32.500 (37.461)	Prec@5 65.500 (68.335)
Epoch: [17][7400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6424 (2.5624)	Prec@1 32.000 (37.459)	Prec@5 65.500 (68.335)
Epoch: [17][7410/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4955 (2.5624)	Prec@1 38.500 (37.459)	Prec@5 67.500 (68.333)
Epoch: [17][7420/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5340 (2.5624)	Prec@1 39.000 (37.458)	Prec@5 67.000 (68.333)
Epoch: [17][7430/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5234 (2.5624)	Prec@1 37.500 (37.457)	Prec@5 67.500 (68.332)
Epoch: [17][7440/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5260 (2.5624)	Prec@1 34.500 (37.457)	Prec@5 69.500 (68.334)
Epoch: [17][7450/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4493 (2.5624)	Prec@1 40.500 (37.457)	Prec@5 66.500 (68.333)
Epoch: [17][7460/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4356 (2.5624)	Prec@1 42.500 (37.459)	Prec@5 73.000 (68.334)
Epoch: [17][7470/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.5831 (2.5624)	Prec@1 37.000 (37.460)	Prec@5 71.500 (68.336)
Epoch: [17][7480/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6826 (2.5624)	Prec@1 35.000 (37.461)	Prec@5 67.500 (68.335)
Epoch: [17][7490/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4238 (2.5624)	Prec@1 39.000 (37.459)	Prec@5 68.000 (68.335)
Epoch: [17][7500/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6155 (2.5624)	Prec@1 36.500 (37.457)	Prec@5 67.500 (68.336)
Epoch: [17][7510/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6027 (2.5624)	Prec@1 39.500 (37.458)	Prec@5 66.500 (68.334)
Epoch: [17][7520/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5031 (2.5624)	Prec@1 40.000 (37.455)	Prec@5 68.000 (68.333)
Epoch: [17][7530/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5894 (2.5624)	Prec@1 38.000 (37.455)	Prec@5 69.500 (68.335)
Epoch: [17][7540/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5951 (2.5624)	Prec@1 38.000 (37.455)	Prec@5 70.500 (68.335)
Epoch: [17][7550/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4792 (2.5623)	Prec@1 41.500 (37.457)	Prec@5 66.000 (68.337)
Epoch: [17][7560/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4351 (2.5622)	Prec@1 42.000 (37.460)	Prec@5 69.000 (68.339)
Epoch: [17][7570/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5395 (2.5621)	Prec@1 38.000 (37.460)	Prec@5 73.000 (68.340)
Epoch: [17][7580/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3683 (2.5621)	Prec@1 41.500 (37.462)	Prec@5 70.500 (68.342)
Epoch: [17][7590/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5555 (2.5621)	Prec@1 38.000 (37.463)	Prec@5 69.000 (68.343)
Epoch: [17][7600/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.6396 (2.5620)	Prec@1 36.000 (37.462)	Prec@5 65.000 (68.343)
Epoch: [17][7610/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.9779 (2.5621)	Prec@1 31.500 (37.462)	Prec@5 59.500 (68.341)
Epoch: [17][7620/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6348 (2.5621)	Prec@1 33.500 (37.463)	Prec@5 69.000 (68.343)
Epoch: [17][7630/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4218 (2.5620)	Prec@1 42.000 (37.464)	Prec@5 70.000 (68.343)
Epoch: [17][7640/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5813 (2.5621)	Prec@1 37.500 (37.464)	Prec@5 68.000 (68.342)
Epoch: [17][7650/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.3167 (2.5620)	Prec@1 41.500 (37.466)	Prec@5 73.500 (68.344)
Epoch: [17][7660/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6077 (2.5620)	Prec@1 39.000 (37.466)	Prec@5 67.000 (68.344)
Epoch: [17][7670/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6621 (2.5621)	Prec@1 32.500 (37.467)	Prec@5 67.000 (68.346)
Epoch: [17][7680/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.7098 (2.5621)	Prec@1 33.500 (37.468)	Prec@5 66.500 (68.347)
Epoch: [17][7690/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4815 (2.5620)	Prec@1 41.000 (37.468)	Prec@5 72.000 (68.348)
Epoch: [17][7700/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4944 (2.5620)	Prec@1 41.000 (37.468)	Prec@5 70.500 (68.349)
Epoch: [17][7710/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.6997 (2.5621)	Prec@1 31.000 (37.466)	Prec@5 65.500 (68.348)
Epoch: [17][7720/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7610 (2.5621)	Prec@1 33.500 (37.464)	Prec@5 66.000 (68.347)
Epoch: [17][7730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5529 (2.5622)	Prec@1 39.500 (37.464)	Prec@5 66.500 (68.347)
Epoch: [17][7740/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4841 (2.5621)	Prec@1 41.000 (37.466)	Prec@5 69.500 (68.347)
Epoch: [17][7750/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7643 (2.5621)	Prec@1 33.500 (37.465)	Prec@5 63.500 (68.345)
Epoch: [17][7760/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7092 (2.5622)	Prec@1 35.500 (37.464)	Prec@5 61.500 (68.344)
Epoch: [17][7770/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5740 (2.5622)	Prec@1 38.500 (37.465)	Prec@5 67.500 (68.342)
Epoch: [17][7780/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6518 (2.5623)	Prec@1 38.500 (37.465)	Prec@5 67.000 (68.342)
Epoch: [17][7790/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5036 (2.5623)	Prec@1 37.500 (37.464)	Prec@5 67.500 (68.342)
Epoch: [17][7800/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3844 (2.5623)	Prec@1 46.500 (37.466)	Prec@5 71.500 (68.341)
Epoch: [17][7810/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4797 (2.5622)	Prec@1 40.000 (37.467)	Prec@5 71.000 (68.342)
Epoch: [17][7820/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3473 (2.5622)	Prec@1 42.500 (37.467)	Prec@5 72.000 (68.343)
Epoch: [17][7830/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.8436 (2.5622)	Prec@1 32.000 (37.467)	Prec@5 61.500 (68.343)
Epoch: [17][7840/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4834 (2.5622)	Prec@1 37.500 (37.466)	Prec@5 69.500 (68.343)
Epoch: [17][7850/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4573 (2.5622)	Prec@1 40.500 (37.466)	Prec@5 67.500 (68.342)
Epoch: [17][7860/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5609 (2.5623)	Prec@1 42.500 (37.466)	Prec@5 70.500 (68.340)
Epoch: [17][7870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4706 (2.5623)	Prec@1 36.500 (37.466)	Prec@5 73.500 (68.340)
Epoch: [17][7880/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7092 (2.5623)	Prec@1 36.000 (37.466)	Prec@5 64.500 (68.340)
Epoch: [17][7890/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6148 (2.5623)	Prec@1 37.500 (37.466)	Prec@5 69.500 (68.339)
Epoch: [17][7900/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5162 (2.5623)	Prec@1 38.000 (37.465)	Prec@5 67.000 (68.338)
Epoch: [17][7910/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4091 (2.5622)	Prec@1 37.500 (37.465)	Prec@5 68.000 (68.339)
Epoch: [17][7920/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5910 (2.5622)	Prec@1 38.500 (37.464)	Prec@5 68.000 (68.339)
Epoch: [17][7930/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.5656 (2.5623)	Prec@1 37.500 (37.463)	Prec@5 65.500 (68.338)
Epoch: [17][7940/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5749 (2.5623)	Prec@1 34.000 (37.463)	Prec@5 68.000 (68.342)
Epoch: [17][7950/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6854 (2.5623)	Prec@1 41.500 (37.463)	Prec@5 64.000 (68.339)
Epoch: [17][7960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5886 (2.5624)	Prec@1 33.500 (37.461)	Prec@5 66.000 (68.339)
Epoch: [17][7970/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3293 (2.5623)	Prec@1 36.500 (37.462)	Prec@5 76.500 (68.340)
Epoch: [17][7980/9018]	Time 0.755 (0.615)	Data 0.001 (0.001)	Loss 2.5503 (2.5623)	Prec@1 37.500 (37.463)	Prec@5 68.500 (68.340)
Epoch: [17][7990/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8095 (2.5623)	Prec@1 34.500 (37.464)	Prec@5 63.500 (68.341)
Epoch: [17][8000/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6261 (2.5623)	Prec@1 38.500 (37.462)	Prec@5 66.500 (68.340)
Epoch: [17][8010/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7602 (2.5624)	Prec@1 38.500 (37.460)	Prec@5 64.000 (68.337)
Epoch: [17][8020/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7261 (2.5625)	Prec@1 32.000 (37.459)	Prec@5 64.500 (68.336)
Epoch: [17][8030/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6366 (2.5625)	Prec@1 36.500 (37.460)	Prec@5 67.500 (68.335)
Epoch: [17][8040/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7581 (2.5626)	Prec@1 35.000 (37.459)	Prec@5 62.500 (68.332)
Epoch: [17][8050/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5566 (2.5626)	Prec@1 33.500 (37.460)	Prec@5 67.500 (68.331)
Epoch: [17][8060/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.8808 (2.5627)	Prec@1 36.000 (37.458)	Prec@5 62.500 (68.327)
Epoch: [17][8070/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5811 (2.5626)	Prec@1 35.000 (37.458)	Prec@5 68.000 (68.328)
Epoch: [17][8080/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6836 (2.5626)	Prec@1 30.000 (37.458)	Prec@5 66.500 (68.328)
Epoch: [17][8090/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5189 (2.5626)	Prec@1 43.500 (37.457)	Prec@5 71.500 (68.330)
Epoch: [17][8100/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6820 (2.5626)	Prec@1 34.500 (37.458)	Prec@5 64.000 (68.329)
Epoch: [17][8110/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4581 (2.5626)	Prec@1 40.500 (37.457)	Prec@5 70.000 (68.329)
Epoch: [17][8120/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5526 (2.5627)	Prec@1 35.000 (37.456)	Prec@5 69.000 (68.329)
Epoch: [17][8130/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5925 (2.5627)	Prec@1 40.000 (37.456)	Prec@5 69.500 (68.330)
Epoch: [17][8140/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6053 (2.5627)	Prec@1 36.000 (37.456)	Prec@5 68.000 (68.330)
Epoch: [17][8150/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5430 (2.5627)	Prec@1 36.000 (37.454)	Prec@5 65.500 (68.329)
Epoch: [17][8160/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.8435 (2.5627)	Prec@1 35.000 (37.456)	Prec@5 65.500 (68.331)
Epoch: [17][8170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4882 (2.5627)	Prec@1 35.000 (37.455)	Prec@5 68.500 (68.330)
Epoch: [17][8180/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1852 (2.5627)	Prec@1 48.500 (37.458)	Prec@5 75.500 (68.334)
Epoch: [17][8190/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6450 (2.5627)	Prec@1 39.500 (37.457)	Prec@5 66.500 (68.332)
Epoch: [17][8200/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5473 (2.5627)	Prec@1 36.500 (37.457)	Prec@5 68.000 (68.333)
Epoch: [17][8210/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3494 (2.5627)	Prec@1 38.500 (37.456)	Prec@5 72.500 (68.334)
Epoch: [17][8220/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5057 (2.5627)	Prec@1 40.500 (37.457)	Prec@5 67.000 (68.332)
Epoch: [17][8230/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7338 (2.5627)	Prec@1 29.500 (37.458)	Prec@5 68.000 (68.333)
Epoch: [17][8240/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3276 (2.5627)	Prec@1 37.500 (37.458)	Prec@5 72.500 (68.333)
Epoch: [17][8250/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6378 (2.5627)	Prec@1 34.500 (37.458)	Prec@5 67.000 (68.332)
Epoch: [17][8260/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.5665 (2.5627)	Prec@1 34.500 (37.458)	Prec@5 66.000 (68.331)
Epoch: [17][8270/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3959 (2.5627)	Prec@1 40.500 (37.459)	Prec@5 70.000 (68.332)
Epoch: [17][8280/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3711 (2.5627)	Prec@1 39.000 (37.460)	Prec@5 73.000 (68.334)
Epoch: [17][8290/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6172 (2.5627)	Prec@1 39.000 (37.460)	Prec@5 67.000 (68.335)
Epoch: [17][8300/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5108 (2.5627)	Prec@1 38.000 (37.460)	Prec@5 67.500 (68.335)
Epoch: [17][8310/9018]	Time 0.755 (0.615)	Data 0.001 (0.001)	Loss 2.7770 (2.5628)	Prec@1 32.500 (37.459)	Prec@5 65.500 (68.335)
Epoch: [17][8320/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6959 (2.5629)	Prec@1 33.000 (37.457)	Prec@5 67.500 (68.332)
Epoch: [17][8330/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7486 (2.5628)	Prec@1 34.000 (37.458)	Prec@5 65.000 (68.332)
Epoch: [17][8340/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3409 (2.5628)	Prec@1 44.000 (37.458)	Prec@5 71.000 (68.334)
Epoch: [17][8350/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3089 (2.5627)	Prec@1 43.000 (37.461)	Prec@5 71.000 (68.335)
Epoch: [17][8360/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5298 (2.5627)	Prec@1 35.500 (37.459)	Prec@5 68.500 (68.335)
Epoch: [17][8370/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4593 (2.5628)	Prec@1 40.500 (37.458)	Prec@5 70.000 (68.334)
Epoch: [17][8380/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3980 (2.5627)	Prec@1 36.500 (37.457)	Prec@5 68.500 (68.335)
Epoch: [17][8390/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5562 (2.5627)	Prec@1 35.500 (37.456)	Prec@5 68.000 (68.335)
Epoch: [17][8400/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6394 (2.5629)	Prec@1 36.500 (37.454)	Prec@5 69.500 (68.333)
Epoch: [17][8410/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3470 (2.5628)	Prec@1 43.000 (37.456)	Prec@5 72.000 (68.334)
Epoch: [17][8420/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5262 (2.5628)	Prec@1 39.000 (37.456)	Prec@5 70.000 (68.335)
Epoch: [17][8430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6577 (2.5628)	Prec@1 35.500 (37.457)	Prec@5 67.500 (68.334)
Epoch: [17][8440/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4941 (2.5629)	Prec@1 38.000 (37.457)	Prec@5 70.500 (68.334)
Epoch: [17][8450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5600 (2.5628)	Prec@1 38.000 (37.458)	Prec@5 69.000 (68.336)
Epoch: [17][8460/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6090 (2.5628)	Prec@1 39.500 (37.457)	Prec@5 66.000 (68.335)
Epoch: [17][8470/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6042 (2.5628)	Prec@1 35.500 (37.456)	Prec@5 69.500 (68.335)
Epoch: [17][8480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3968 (2.5628)	Prec@1 41.000 (37.455)	Prec@5 72.000 (68.334)
Epoch: [17][8490/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5760 (2.5629)	Prec@1 36.500 (37.456)	Prec@5 66.500 (68.333)
Epoch: [17][8500/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7183 (2.5629)	Prec@1 38.500 (37.455)	Prec@5 65.000 (68.332)
Epoch: [17][8510/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3400 (2.5628)	Prec@1 38.000 (37.456)	Prec@5 73.000 (68.333)
Epoch: [17][8520/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4879 (2.5629)	Prec@1 39.000 (37.457)	Prec@5 68.000 (68.333)
Epoch: [17][8530/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.2905 (2.5628)	Prec@1 43.000 (37.459)	Prec@5 75.000 (68.333)
Epoch: [17][8540/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.5612 (2.5628)	Prec@1 34.500 (37.459)	Prec@5 69.500 (68.333)
Epoch: [17][8550/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5794 (2.5628)	Prec@1 35.500 (37.460)	Prec@5 65.500 (68.333)
Epoch: [17][8560/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7403 (2.5629)	Prec@1 34.500 (37.459)	Prec@5 65.000 (68.332)
Epoch: [17][8570/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4938 (2.5629)	Prec@1 39.000 (37.461)	Prec@5 70.000 (68.332)
Epoch: [17][8580/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4529 (2.5629)	Prec@1 36.500 (37.460)	Prec@5 72.000 (68.331)
Epoch: [17][8590/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.5317 (2.5629)	Prec@1 36.500 (37.459)	Prec@5 71.500 (68.332)
Epoch: [17][8600/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.4691 (2.5629)	Prec@1 38.500 (37.459)	Prec@5 67.500 (68.331)
Epoch: [17][8610/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.7155 (2.5629)	Prec@1 30.500 (37.460)	Prec@5 66.500 (68.333)
Epoch: [17][8620/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3980 (2.5629)	Prec@1 43.000 (37.459)	Prec@5 75.000 (68.333)
Epoch: [17][8630/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6312 (2.5629)	Prec@1 41.500 (37.460)	Prec@5 65.500 (68.331)
Epoch: [17][8640/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.5891 (2.5629)	Prec@1 35.500 (37.460)	Prec@5 69.000 (68.331)
Epoch: [17][8650/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5595 (2.5629)	Prec@1 38.000 (37.461)	Prec@5 70.000 (68.332)
Epoch: [17][8660/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3381 (2.5629)	Prec@1 43.500 (37.462)	Prec@5 72.500 (68.331)
Epoch: [17][8670/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.5840 (2.5629)	Prec@1 37.500 (37.461)	Prec@5 68.000 (68.331)
Epoch: [17][8680/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5908 (2.5629)	Prec@1 37.500 (37.460)	Prec@5 69.500 (68.330)
Epoch: [17][8690/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5617 (2.5630)	Prec@1 35.500 (37.459)	Prec@5 71.000 (68.330)
Epoch: [17][8700/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7455 (2.5631)	Prec@1 29.500 (37.457)	Prec@5 66.000 (68.329)
Epoch: [17][8710/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3381 (2.5631)	Prec@1 41.500 (37.458)	Prec@5 73.500 (68.330)
Epoch: [17][8720/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3899 (2.5631)	Prec@1 39.500 (37.458)	Prec@5 70.500 (68.329)
Epoch: [17][8730/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6641 (2.5632)	Prec@1 38.000 (37.456)	Prec@5 66.500 (68.329)
Epoch: [17][8740/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5955 (2.5632)	Prec@1 40.000 (37.456)	Prec@5 71.000 (68.328)
Epoch: [17][8750/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.3993 (2.5631)	Prec@1 42.000 (37.459)	Prec@5 67.000 (68.330)
Epoch: [17][8760/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4429 (2.5631)	Prec@1 36.000 (37.458)	Prec@5 68.500 (68.331)
Epoch: [17][8770/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4527 (2.5631)	Prec@1 44.000 (37.458)	Prec@5 70.500 (68.330)
Epoch: [17][8780/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4239 (2.5631)	Prec@1 39.500 (37.459)	Prec@5 68.000 (68.331)
Epoch: [17][8790/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6296 (2.5630)	Prec@1 39.500 (37.464)	Prec@5 68.000 (68.335)
Epoch: [17][8800/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6822 (2.5630)	Prec@1 34.500 (37.463)	Prec@5 68.000 (68.336)
Epoch: [17][8810/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7700 (2.5630)	Prec@1 35.000 (37.461)	Prec@5 63.500 (68.335)
Epoch: [17][8820/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4133 (2.5630)	Prec@1 39.000 (37.462)	Prec@5 71.500 (68.335)
Epoch: [17][8830/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6619 (2.5630)	Prec@1 39.000 (37.461)	Prec@5 65.500 (68.336)
Epoch: [17][8840/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4754 (2.5631)	Prec@1 40.500 (37.461)	Prec@5 71.000 (68.336)
Epoch: [17][8850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4373 (2.5630)	Prec@1 44.500 (37.463)	Prec@5 70.000 (68.338)
Epoch: [17][8860/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4254 (2.5629)	Prec@1 36.500 (37.462)	Prec@5 72.500 (68.339)
Epoch: [17][8870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8013 (2.5629)	Prec@1 32.500 (37.462)	Prec@5 62.500 (68.340)
Epoch: [17][8880/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6103 (2.5629)	Prec@1 35.000 (37.462)	Prec@5 68.000 (68.338)
Epoch: [17][8890/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6354 (2.5630)	Prec@1 40.000 (37.462)	Prec@5 66.000 (68.338)
Epoch: [17][8900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5236 (2.5630)	Prec@1 36.500 (37.461)	Prec@5 68.000 (68.339)
Epoch: [17][8910/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6117 (2.5630)	Prec@1 33.000 (37.461)	Prec@5 67.000 (68.339)
Epoch: [17][8920/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.4279 (2.5630)	Prec@1 42.000 (37.461)	Prec@5 70.500 (68.338)
Epoch: [17][8930/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6226 (2.5630)	Prec@1 36.500 (37.461)	Prec@5 68.000 (68.340)
Epoch: [17][8940/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5576 (2.5630)	Prec@1 42.000 (37.460)	Prec@5 67.500 (68.339)
Epoch: [17][8950/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5944 (2.5629)	Prec@1 33.500 (37.460)	Prec@5 66.000 (68.340)
Epoch: [17][8960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7021 (2.5630)	Prec@1 40.000 (37.461)	Prec@5 66.500 (68.338)
Epoch: [17][8970/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.7155 (2.5630)	Prec@1 40.000 (37.461)	Prec@5 66.000 (68.336)
Epoch: [17][8980/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6378 (2.5630)	Prec@1 32.500 (37.460)	Prec@5 68.500 (68.335)
Epoch: [17][8990/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.8667 (2.5631)	Prec@1 31.500 (37.459)	Prec@5 57.000 (68.332)
Epoch: [17][9000/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6412 (2.5632)	Prec@1 39.500 (37.457)	Prec@5 70.000 (68.332)
Epoch: [17][9010/9018]	Time 0.592 (0.615)	Data 0.000 (0.001)	Loss 2.3221 (2.5632)	Prec@1 40.500 (37.457)	Prec@5 74.500 (68.332)
Test: [0/183]	Time 1.355 (1.355)	Loss 2.8902 (2.8902)	Prec@1 31.000 (31.000)	Prec@5 63.500 (63.500)
Test: [10/183]	Time 0.201 (0.311)	Loss 2.1566 (2.1153)	Prec@1 47.000 (47.727)	Prec@5 75.000 (77.409)
Test: [20/183]	Time 0.203 (0.260)	Loss 2.4669 (2.1388)	Prec@1 31.000 (45.571)	Prec@5 75.000 (77.238)
Test: [30/183]	Time 0.193 (0.239)	Loss 2.7506 (2.1641)	Prec@1 33.000 (45.048)	Prec@5 65.500 (76.403)
Test: [40/183]	Time 0.184 (0.229)	Loss 2.4576 (2.1850)	Prec@1 38.000 (45.049)	Prec@5 73.500 (75.524)
Test: [50/183]	Time 0.196 (0.221)	Loss 2.0992 (2.1818)	Prec@1 44.500 (45.127)	Prec@5 77.500 (75.510)
Test: [60/183]	Time 0.184 (0.217)	Loss 2.4305 (2.2545)	Prec@1 32.500 (42.828)	Prec@5 79.000 (74.623)
Test: [70/183]	Time 0.188 (0.214)	Loss 1.9562 (2.2252)	Prec@1 52.500 (43.479)	Prec@5 81.000 (75.204)
Test: [80/183]	Time 0.183 (0.210)	Loss 2.0476 (2.2191)	Prec@1 47.000 (43.420)	Prec@5 83.500 (75.333)
Test: [90/183]	Time 0.198 (0.209)	Loss 2.8536 (2.2188)	Prec@1 28.000 (43.390)	Prec@5 66.000 (75.335)
Test: [100/183]	Time 0.193 (0.208)	Loss 0.8499 (2.2008)	Prec@1 76.500 (43.649)	Prec@5 94.000 (75.748)
Test: [110/183]	Time 0.187 (0.207)	Loss 0.9410 (2.1994)	Prec@1 77.500 (43.793)	Prec@5 95.000 (75.685)
Test: [120/183]	Time 0.189 (0.206)	Loss 2.7461 (2.2105)	Prec@1 31.500 (43.393)	Prec@5 65.000 (75.471)
Test: [130/183]	Time 0.187 (0.205)	Loss 3.5294 (2.2227)	Prec@1 16.000 (42.958)	Prec@5 55.500 (75.447)
Test: [140/183]	Time 0.201 (0.204)	Loss 1.6919 (2.1983)	Prec@1 59.500 (43.628)	Prec@5 84.500 (75.897)
Test: [150/183]	Time 0.190 (0.204)	Loss 1.4380 (2.1962)	Prec@1 64.500 (43.781)	Prec@5 88.500 (75.877)
Test: [160/183]	Time 0.189 (0.204)	Loss 1.6590 (2.1926)	Prec@1 51.500 (43.922)	Prec@5 83.500 (75.894)
Test: [170/183]	Time 0.189 (0.203)	Loss 2.7301 (2.2056)	Prec@1 27.000 (43.611)	Prec@5 70.000 (75.626)
Test: [180/183]	Time 0.182 (0.202)	Loss 2.1936 (2.2195)	Prec@1 43.500 (43.273)	Prec@5 79.000 (75.409)
 * Prec@1 43.296 Prec@5 75.447
Epoch: [18][0/9018]	Time 2.904 (2.904)	Data 2.231 (2.231)	Loss 2.4064 (2.4064)	Prec@1 44.500 (44.500)	Prec@5 70.500 (70.500)
Epoch: [18][10/9018]	Time 0.594 (0.803)	Data 0.001 (0.203)	Loss 2.4278 (2.5341)	Prec@1 41.000 (37.909)	Prec@5 70.000 (67.773)
Epoch: [18][20/9018]	Time 0.593 (0.709)	Data 0.001 (0.107)	Loss 2.7151 (2.5244)	Prec@1 39.000 (38.857)	Prec@5 66.000 (68.357)
Epoch: [18][30/9018]	Time 0.607 (0.673)	Data 0.001 (0.073)	Loss 2.3203 (2.5362)	Prec@1 42.500 (37.968)	Prec@5 78.000 (68.645)
Epoch: [18][40/9018]	Time 0.604 (0.662)	Data 0.001 (0.055)	Loss 2.5370 (2.5524)	Prec@1 34.500 (37.402)	Prec@5 69.500 (68.561)
Epoch: [18][50/9018]	Time 0.723 (0.654)	Data 0.001 (0.045)	Loss 2.5366 (2.5562)	Prec@1 40.500 (37.461)	Prec@5 71.500 (68.431)
Epoch: [18][60/9018]	Time 0.599 (0.645)	Data 0.001 (0.037)	Loss 2.4199 (2.5562)	Prec@1 40.500 (37.623)	Prec@5 70.000 (68.492)
Epoch: [18][70/9018]	Time 0.635 (0.642)	Data 0.001 (0.032)	Loss 2.4986 (2.5525)	Prec@1 40.500 (37.676)	Prec@5 69.000 (68.613)
Epoch: [18][80/9018]	Time 0.625 (0.639)	Data 0.001 (0.028)	Loss 2.6125 (2.5532)	Prec@1 38.000 (37.623)	Prec@5 67.500 (68.506)
Epoch: [18][90/9018]	Time 0.603 (0.637)	Data 0.001 (0.025)	Loss 2.7883 (2.5601)	Prec@1 30.500 (37.423)	Prec@5 63.000 (68.335)
Epoch: [18][100/9018]	Time 0.619 (0.635)	Data 0.001 (0.023)	Loss 2.5314 (2.5536)	Prec@1 38.000 (37.545)	Prec@5 68.000 (68.351)
Epoch: [18][110/9018]	Time 0.624 (0.633)	Data 0.001 (0.021)	Loss 2.6260 (2.5475)	Prec@1 37.500 (37.631)	Prec@5 63.500 (68.437)
Epoch: [18][120/9018]	Time 0.627 (0.632)	Data 0.001 (0.019)	Loss 2.5572 (2.5450)	Prec@1 37.000 (37.731)	Prec@5 69.000 (68.558)
Epoch: [18][130/9018]	Time 0.608 (0.631)	Data 0.001 (0.018)	Loss 2.2884 (2.5413)	Prec@1 38.000 (37.847)	Prec@5 72.000 (68.653)
Epoch: [18][140/9018]	Time 0.628 (0.631)	Data 0.001 (0.017)	Loss 2.5504 (2.5367)	Prec@1 39.000 (37.926)	Prec@5 68.500 (68.695)
Epoch: [18][150/9018]	Time 0.598 (0.629)	Data 0.001 (0.016)	Loss 2.4761 (2.5348)	Prec@1 38.000 (37.921)	Prec@5 70.000 (68.752)
Epoch: [18][160/9018]	Time 0.605 (0.628)	Data 0.001 (0.015)	Loss 2.5492 (2.5378)	Prec@1 35.500 (37.910)	Prec@5 68.000 (68.705)
Epoch: [18][170/9018]	Time 0.593 (0.627)	Data 0.001 (0.014)	Loss 2.6549 (2.5385)	Prec@1 34.500 (37.892)	Prec@5 65.000 (68.652)
Epoch: [18][180/9018]	Time 0.616 (0.626)	Data 0.001 (0.013)	Loss 2.3194 (2.5356)	Prec@1 41.500 (37.939)	Prec@5 72.000 (68.635)
Epoch: [18][190/9018]	Time 0.591 (0.626)	Data 0.001 (0.012)	Loss 2.5976 (2.5346)	Prec@1 35.500 (37.997)	Prec@5 68.500 (68.694)
Epoch: [18][200/9018]	Time 0.591 (0.626)	Data 0.001 (0.012)	Loss 2.8783 (2.5372)	Prec@1 30.500 (37.948)	Prec@5 65.500 (68.694)
Epoch: [18][210/9018]	Time 0.613 (0.625)	Data 0.001 (0.011)	Loss 2.6442 (2.5371)	Prec@1 34.000 (37.943)	Prec@5 65.000 (68.694)
Epoch: [18][220/9018]	Time 0.605 (0.625)	Data 0.001 (0.011)	Loss 2.2919 (2.5376)	Prec@1 40.500 (37.932)	Prec@5 75.000 (68.767)
Epoch: [18][230/9018]	Time 0.634 (0.625)	Data 0.001 (0.010)	Loss 2.5681 (2.5366)	Prec@1 38.500 (37.970)	Prec@5 69.500 (68.814)
Epoch: [18][240/9018]	Time 0.621 (0.625)	Data 0.001 (0.010)	Loss 2.4467 (2.5356)	Prec@1 35.000 (37.925)	Prec@5 68.500 (68.838)
Epoch: [18][250/9018]	Time 0.602 (0.624)	Data 0.001 (0.010)	Loss 2.5960 (2.5328)	Prec@1 37.500 (38.008)	Prec@5 65.000 (68.888)
Epoch: [18][260/9018]	Time 0.627 (0.623)	Data 0.001 (0.009)	Loss 2.6503 (2.5361)	Prec@1 38.500 (37.948)	Prec@5 69.000 (68.814)
Epoch: [18][270/9018]	Time 0.599 (0.623)	Data 0.001 (0.009)	Loss 2.6174 (2.5350)	Prec@1 35.000 (37.934)	Prec@5 70.500 (68.830)
Epoch: [18][280/9018]	Time 0.594 (0.623)	Data 0.001 (0.009)	Loss 2.5329 (2.5362)	Prec@1 36.000 (37.938)	Prec@5 68.000 (68.786)
Epoch: [18][290/9018]	Time 0.628 (0.623)	Data 0.001 (0.008)	Loss 2.8254 (2.5382)	Prec@1 38.000 (37.918)	Prec@5 66.500 (68.756)
Epoch: [18][300/9018]	Time 0.605 (0.623)	Data 0.001 (0.008)	Loss 2.5384 (2.5372)	Prec@1 40.000 (37.952)	Prec@5 67.500 (68.786)
Epoch: [18][310/9018]	Time 0.602 (0.623)	Data 0.001 (0.008)	Loss 2.7184 (2.5378)	Prec@1 34.000 (37.953)	Prec@5 68.000 (68.791)
Epoch: [18][320/9018]	Time 0.599 (0.623)	Data 0.001 (0.008)	Loss 2.7270 (2.5400)	Prec@1 34.000 (37.917)	Prec@5 63.500 (68.760)
Epoch: [18][330/9018]	Time 0.782 (0.623)	Data 0.001 (0.008)	Loss 2.8876 (2.5425)	Prec@1 33.000 (37.921)	Prec@5 61.000 (68.730)
Epoch: [18][340/9018]	Time 0.608 (0.622)	Data 0.001 (0.007)	Loss 2.4160 (2.5424)	Prec@1 38.500 (37.919)	Prec@5 69.500 (68.721)
Epoch: [18][350/9018]	Time 0.600 (0.622)	Data 0.001 (0.007)	Loss 2.3614 (2.5422)	Prec@1 43.500 (37.933)	Prec@5 71.000 (68.731)
Epoch: [18][360/9018]	Time 0.603 (0.622)	Data 0.001 (0.007)	Loss 2.6256 (2.5432)	Prec@1 33.000 (37.892)	Prec@5 68.500 (68.701)
Epoch: [18][370/9018]	Time 0.594 (0.622)	Data 0.001 (0.007)	Loss 2.5299 (2.5425)	Prec@1 37.000 (37.920)	Prec@5 71.000 (68.737)
Epoch: [18][380/9018]	Time 0.739 (0.622)	Data 0.001 (0.007)	Loss 2.2872 (2.5409)	Prec@1 42.000 (37.950)	Prec@5 74.500 (68.760)
Epoch: [18][390/9018]	Time 0.603 (0.621)	Data 0.001 (0.006)	Loss 2.4056 (2.5421)	Prec@1 41.000 (37.935)	Prec@5 72.500 (68.766)
Epoch: [18][400/9018]	Time 0.626 (0.621)	Data 0.001 (0.006)	Loss 2.6151 (2.5420)	Prec@1 36.000 (37.930)	Prec@5 68.000 (68.809)
Epoch: [18][410/9018]	Time 0.600 (0.621)	Data 0.001 (0.006)	Loss 2.6608 (2.5412)	Prec@1 40.500 (37.956)	Prec@5 66.000 (68.808)
Epoch: [18][420/9018]	Time 0.601 (0.621)	Data 0.001 (0.006)	Loss 2.5654 (2.5409)	Prec@1 38.000 (37.967)	Prec@5 69.500 (68.812)
Epoch: [18][430/9018]	Time 0.599 (0.621)	Data 0.001 (0.006)	Loss 2.3983 (2.5394)	Prec@1 42.000 (37.978)	Prec@5 69.500 (68.823)
Epoch: [18][440/9018]	Time 0.626 (0.621)	Data 0.001 (0.006)	Loss 2.4871 (2.5383)	Prec@1 34.500 (37.992)	Prec@5 72.000 (68.839)
Epoch: [18][450/9018]	Time 0.594 (0.621)	Data 0.001 (0.006)	Loss 2.5505 (2.5387)	Prec@1 41.000 (37.984)	Prec@5 68.000 (68.827)
Epoch: [18][460/9018]	Time 0.597 (0.620)	Data 0.001 (0.006)	Loss 2.4345 (2.5391)	Prec@1 37.500 (37.971)	Prec@5 71.000 (68.830)
Epoch: [18][470/9018]	Time 0.613 (0.620)	Data 0.001 (0.006)	Loss 2.6672 (2.5385)	Prec@1 41.500 (37.984)	Prec@5 64.000 (68.825)
Epoch: [18][480/9018]	Time 0.607 (0.621)	Data 0.001 (0.005)	Loss 2.6500 (2.5390)	Prec@1 33.500 (37.995)	Prec@5 67.000 (68.822)
Epoch: [18][490/9018]	Time 0.600 (0.620)	Data 0.001 (0.005)	Loss 2.6101 (2.5382)	Prec@1 38.500 (38.000)	Prec@5 69.500 (68.854)
Epoch: [18][500/9018]	Time 0.600 (0.620)	Data 0.001 (0.005)	Loss 2.3865 (2.5378)	Prec@1 41.500 (38.004)	Prec@5 73.000 (68.853)
Epoch: [18][510/9018]	Time 0.605 (0.620)	Data 0.001 (0.005)	Loss 2.5919 (2.5374)	Prec@1 40.500 (38.030)	Prec@5 64.500 (68.859)
Epoch: [18][520/9018]	Time 0.604 (0.620)	Data 0.001 (0.005)	Loss 2.5724 (2.5369)	Prec@1 37.000 (38.023)	Prec@5 68.500 (68.885)
Epoch: [18][530/9018]	Time 0.618 (0.620)	Data 0.001 (0.005)	Loss 2.5091 (2.5379)	Prec@1 39.000 (38.003)	Prec@5 69.000 (68.860)
Epoch: [18][540/9018]	Time 0.625 (0.620)	Data 0.001 (0.005)	Loss 2.2841 (2.5374)	Prec@1 43.500 (38.006)	Prec@5 74.500 (68.872)
Epoch: [18][550/9018]	Time 0.613 (0.620)	Data 0.001 (0.005)	Loss 2.5767 (2.5383)	Prec@1 39.500 (38.008)	Prec@5 69.000 (68.841)
Epoch: [18][560/9018]	Time 0.600 (0.620)	Data 0.001 (0.005)	Loss 2.3559 (2.5391)	Prec@1 41.000 (37.997)	Prec@5 70.000 (68.832)
Epoch: [18][570/9018]	Time 0.611 (0.620)	Data 0.001 (0.005)	Loss 2.6937 (2.5402)	Prec@1 35.500 (37.961)	Prec@5 66.000 (68.827)
Epoch: [18][580/9018]	Time 0.593 (0.620)	Data 0.001 (0.005)	Loss 2.5722 (2.5389)	Prec@1 35.500 (37.968)	Prec@5 67.000 (68.859)
Epoch: [18][590/9018]	Time 0.609 (0.620)	Data 0.001 (0.005)	Loss 2.5835 (2.5400)	Prec@1 39.500 (37.926)	Prec@5 71.500 (68.858)
Epoch: [18][600/9018]	Time 0.604 (0.620)	Data 0.001 (0.004)	Loss 2.5374 (2.5388)	Prec@1 39.000 (37.927)	Prec@5 70.000 (68.877)
Epoch: [18][610/9018]	Time 0.597 (0.620)	Data 0.001 (0.004)	Loss 2.6926 (2.5386)	Prec@1 35.000 (37.917)	Prec@5 65.000 (68.890)
Epoch: [18][620/9018]	Time 0.601 (0.620)	Data 0.001 (0.004)	Loss 2.4243 (2.5391)	Prec@1 41.500 (37.891)	Prec@5 74.000 (68.896)
Epoch: [18][630/9018]	Time 0.623 (0.620)	Data 0.001 (0.004)	Loss 2.6517 (2.5391)	Prec@1 33.000 (37.884)	Prec@5 69.500 (68.906)
Epoch: [18][640/9018]	Time 0.603 (0.619)	Data 0.001 (0.004)	Loss 2.6158 (2.5393)	Prec@1 37.000 (37.903)	Prec@5 68.500 (68.907)
Epoch: [18][650/9018]	Time 0.591 (0.619)	Data 0.001 (0.004)	Loss 2.3789 (2.5385)	Prec@1 42.000 (37.935)	Prec@5 74.500 (68.919)
Epoch: [18][660/9018]	Time 0.715 (0.619)	Data 0.001 (0.004)	Loss 2.8538 (2.5392)	Prec@1 33.000 (37.939)	Prec@5 63.000 (68.880)
Epoch: [18][670/9018]	Time 0.633 (0.619)	Data 0.001 (0.004)	Loss 2.7952 (2.5390)	Prec@1 33.000 (37.937)	Prec@5 66.500 (68.899)
Epoch: [18][680/9018]	Time 0.599 (0.619)	Data 0.001 (0.004)	Loss 2.4900 (2.5385)	Prec@1 38.500 (37.941)	Prec@5 69.500 (68.902)
Epoch: [18][690/9018]	Time 0.601 (0.619)	Data 0.001 (0.004)	Loss 2.3441 (2.5388)	Prec@1 38.000 (37.923)	Prec@5 73.000 (68.891)
Epoch: [18][700/9018]	Time 0.602 (0.619)	Data 0.001 (0.004)	Loss 2.7864 (2.5383)	Prec@1 30.500 (37.928)	Prec@5 66.500 (68.897)
Epoch: [18][710/9018]	Time 0.724 (0.619)	Data 0.001 (0.004)	Loss 2.5812 (2.5376)	Prec@1 36.500 (37.941)	Prec@5 68.000 (68.921)
Epoch: [18][720/9018]	Time 0.594 (0.619)	Data 0.001 (0.004)	Loss 2.5015 (2.5367)	Prec@1 35.500 (37.981)	Prec@5 70.500 (68.935)
Epoch: [18][730/9018]	Time 0.609 (0.619)	Data 0.001 (0.004)	Loss 2.6389 (2.5372)	Prec@1 34.000 (37.975)	Prec@5 68.000 (68.935)
Epoch: [18][740/9018]	Time 0.611 (0.619)	Data 0.001 (0.004)	Loss 2.5025 (2.5374)	Prec@1 36.500 (37.976)	Prec@5 74.000 (68.920)
Epoch: [18][750/9018]	Time 0.597 (0.619)	Data 0.001 (0.004)	Loss 2.6833 (2.5378)	Prec@1 33.000 (37.963)	Prec@5 66.000 (68.914)
Epoch: [18][760/9018]	Time 0.621 (0.619)	Data 0.001 (0.004)	Loss 2.6631 (2.5371)	Prec@1 34.000 (37.964)	Prec@5 64.500 (68.932)
Epoch: [18][770/9018]	Time 0.593 (0.619)	Data 0.001 (0.004)	Loss 2.6111 (2.5378)	Prec@1 36.000 (37.947)	Prec@5 72.000 (68.928)
Epoch: [18][780/9018]	Time 0.620 (0.619)	Data 0.001 (0.004)	Loss 2.5919 (2.5378)	Prec@1 42.000 (37.954)	Prec@5 65.500 (68.912)
Epoch: [18][790/9018]	Time 0.602 (0.619)	Data 0.001 (0.004)	Loss 2.6927 (2.5380)	Prec@1 34.500 (37.954)	Prec@5 66.000 (68.901)
Epoch: [18][800/9018]	Time 0.598 (0.619)	Data 0.001 (0.004)	Loss 2.5037 (2.5390)	Prec@1 39.000 (37.938)	Prec@5 68.500 (68.874)
Epoch: [18][810/9018]	Time 0.604 (0.619)	Data 0.001 (0.004)	Loss 2.8813 (2.5393)	Prec@1 31.000 (37.943)	Prec@5 66.500 (68.871)
Epoch: [18][820/9018]	Time 0.603 (0.619)	Data 0.001 (0.003)	Loss 2.3852 (2.5391)	Prec@1 40.000 (37.939)	Prec@5 72.000 (68.882)
Epoch: [18][830/9018]	Time 0.594 (0.619)	Data 0.001 (0.003)	Loss 2.4620 (2.5391)	Prec@1 38.500 (37.952)	Prec@5 70.000 (68.880)
Epoch: [18][840/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 2.6579 (2.5395)	Prec@1 34.000 (37.930)	Prec@5 68.500 (68.880)
Epoch: [18][850/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 2.6216 (2.5393)	Prec@1 34.000 (37.922)	Prec@5 67.500 (68.888)
Epoch: [18][860/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 2.6005 (2.5394)	Prec@1 35.000 (37.920)	Prec@5 66.500 (68.884)
Epoch: [18][870/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 2.5912 (2.5395)	Prec@1 39.000 (37.927)	Prec@5 68.000 (68.891)
Epoch: [18][880/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 2.2840 (2.5391)	Prec@1 44.000 (37.934)	Prec@5 74.500 (68.900)
Epoch: [18][890/9018]	Time 0.631 (0.618)	Data 0.001 (0.003)	Loss 2.6969 (2.5397)	Prec@1 30.500 (37.909)	Prec@5 61.500 (68.883)
Epoch: [18][900/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 2.7510 (2.5400)	Prec@1 31.500 (37.900)	Prec@5 66.000 (68.878)
Epoch: [18][910/9018]	Time 0.612 (0.618)	Data 0.001 (0.003)	Loss 2.3273 (2.5402)	Prec@1 42.500 (37.905)	Prec@5 74.500 (68.877)
Epoch: [18][920/9018]	Time 0.592 (0.618)	Data 0.001 (0.003)	Loss 2.3186 (2.5399)	Prec@1 41.500 (37.903)	Prec@5 73.500 (68.877)
Epoch: [18][930/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 2.7147 (2.5391)	Prec@1 29.000 (37.903)	Prec@5 67.500 (68.886)
Epoch: [18][940/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 2.5298 (2.5398)	Prec@1 35.500 (37.894)	Prec@5 67.500 (68.880)
Epoch: [18][950/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 2.6092 (2.5397)	Prec@1 34.500 (37.895)	Prec@5 69.000 (68.884)
Epoch: [18][960/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 2.4891 (2.5394)	Prec@1 42.500 (37.901)	Prec@5 69.000 (68.887)
Epoch: [18][970/9018]	Time 0.627 (0.618)	Data 0.001 (0.003)	Loss 2.6797 (2.5386)	Prec@1 31.500 (37.910)	Prec@5 64.500 (68.891)
Epoch: [18][980/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 2.6057 (2.5388)	Prec@1 35.500 (37.893)	Prec@5 71.500 (68.880)
Epoch: [18][990/9018]	Time 0.728 (0.618)	Data 0.001 (0.003)	Loss 2.6295 (2.5398)	Prec@1 37.500 (37.874)	Prec@5 68.000 (68.861)
Epoch: [18][1000/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 2.3510 (2.5397)	Prec@1 39.000 (37.877)	Prec@5 75.000 (68.869)
Epoch: [18][1010/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 2.8413 (2.5394)	Prec@1 31.500 (37.892)	Prec@5 62.000 (68.878)
Epoch: [18][1020/9018]	Time 0.630 (0.618)	Data 0.001 (0.003)	Loss 2.6200 (2.5399)	Prec@1 29.000 (37.885)	Prec@5 69.500 (68.867)
Epoch: [18][1030/9018]	Time 0.609 (0.618)	Data 0.001 (0.003)	Loss 2.7275 (2.5405)	Prec@1 36.000 (37.887)	Prec@5 66.500 (68.857)
Epoch: [18][1040/9018]	Time 0.721 (0.618)	Data 0.001 (0.003)	Loss 2.4727 (2.5401)	Prec@1 38.500 (37.901)	Prec@5 70.000 (68.858)
Epoch: [18][1050/9018]	Time 0.625 (0.618)	Data 0.001 (0.003)	Loss 2.4923 (2.5401)	Prec@1 40.000 (37.905)	Prec@5 68.500 (68.860)
Epoch: [18][1060/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 2.5613 (2.5404)	Prec@1 33.500 (37.906)	Prec@5 69.500 (68.860)
Epoch: [18][1070/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 2.6509 (2.5408)	Prec@1 34.500 (37.909)	Prec@5 65.000 (68.846)
Epoch: [18][1080/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 2.3935 (2.5406)	Prec@1 38.000 (37.915)	Prec@5 72.500 (68.854)
Epoch: [18][1090/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 2.6119 (2.5408)	Prec@1 42.000 (37.912)	Prec@5 68.500 (68.846)
Epoch: [18][1100/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.6041 (2.5412)	Prec@1 36.000 (37.895)	Prec@5 68.500 (68.830)
Epoch: [18][1110/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 2.3988 (2.5418)	Prec@1 40.500 (37.882)	Prec@5 74.000 (68.818)
Epoch: [18][1120/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.4786 (2.5417)	Prec@1 37.500 (37.888)	Prec@5 67.500 (68.817)
Epoch: [18][1130/9018]	Time 0.630 (0.618)	Data 0.001 (0.003)	Loss 2.5676 (2.5421)	Prec@1 40.000 (37.890)	Prec@5 64.000 (68.810)
Epoch: [18][1140/9018]	Time 0.612 (0.618)	Data 0.001 (0.003)	Loss 2.3551 (2.5417)	Prec@1 38.500 (37.882)	Prec@5 73.000 (68.820)
Epoch: [18][1150/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 2.4734 (2.5421)	Prec@1 41.000 (37.872)	Prec@5 68.000 (68.810)
Epoch: [18][1160/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 2.6242 (2.5421)	Prec@1 35.000 (37.868)	Prec@5 68.500 (68.811)
Epoch: [18][1170/9018]	Time 0.634 (0.617)	Data 0.001 (0.003)	Loss 2.4200 (2.5420)	Prec@1 39.500 (37.869)	Prec@5 72.500 (68.815)
Epoch: [18][1180/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.6388 (2.5424)	Prec@1 33.500 (37.853)	Prec@5 68.500 (68.809)
Epoch: [18][1190/9018]	Time 0.631 (0.618)	Data 0.001 (0.003)	Loss 2.4775 (2.5422)	Prec@1 39.000 (37.857)	Prec@5 70.000 (68.805)
Epoch: [18][1200/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 2.5657 (2.5415)	Prec@1 38.500 (37.875)	Prec@5 70.500 (68.821)
Epoch: [18][1210/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.5805 (2.5418)	Prec@1 37.000 (37.874)	Prec@5 71.500 (68.817)
Epoch: [18][1220/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.5193 (2.5420)	Prec@1 38.000 (37.880)	Prec@5 69.000 (68.815)
Epoch: [18][1230/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.4700 (2.5415)	Prec@1 40.000 (37.904)	Prec@5 69.000 (68.825)
Epoch: [18][1240/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.5532 (2.5411)	Prec@1 37.000 (37.915)	Prec@5 68.500 (68.824)
Epoch: [18][1250/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 2.5405 (2.5410)	Prec@1 38.000 (37.901)	Prec@5 68.000 (68.826)
Epoch: [18][1260/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.5400 (2.5413)	Prec@1 38.000 (37.893)	Prec@5 69.500 (68.813)
Epoch: [18][1270/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.5344 (2.5409)	Prec@1 42.000 (37.901)	Prec@5 71.500 (68.820)
Epoch: [18][1280/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 2.4289 (2.5412)	Prec@1 39.000 (37.897)	Prec@5 72.500 (68.818)
Epoch: [18][1290/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.2667 (2.5415)	Prec@1 45.500 (37.891)	Prec@5 73.500 (68.817)
Epoch: [18][1300/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.6784 (2.5416)	Prec@1 34.500 (37.887)	Prec@5 68.000 (68.819)
Epoch: [18][1310/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.4315 (2.5414)	Prec@1 39.500 (37.891)	Prec@5 72.000 (68.822)
Epoch: [18][1320/9018]	Time 0.729 (0.617)	Data 0.001 (0.002)	Loss 2.5754 (2.5416)	Prec@1 38.000 (37.894)	Prec@5 63.000 (68.814)
Epoch: [18][1330/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.4484 (2.5412)	Prec@1 40.000 (37.897)	Prec@5 73.000 (68.829)
Epoch: [18][1340/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.5063 (2.5416)	Prec@1 37.500 (37.884)	Prec@5 70.000 (68.812)
Epoch: [18][1350/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.3323 (2.5413)	Prec@1 44.000 (37.883)	Prec@5 74.000 (68.820)
Epoch: [18][1360/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.9607 (2.5420)	Prec@1 30.500 (37.872)	Prec@5 60.500 (68.808)
Epoch: [18][1370/9018]	Time 0.746 (0.617)	Data 0.001 (0.002)	Loss 2.6151 (2.5421)	Prec@1 38.500 (37.869)	Prec@5 67.500 (68.804)
Epoch: [18][1380/9018]	Time 0.591 (0.617)	Data 0.001 (0.002)	Loss 2.4091 (2.5426)	Prec@1 40.500 (37.857)	Prec@5 71.500 (68.796)
Epoch: [18][1390/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.8106 (2.5431)	Prec@1 39.000 (37.849)	Prec@5 62.000 (68.786)
Epoch: [18][1400/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.5487 (2.5432)	Prec@1 36.000 (37.848)	Prec@5 70.000 (68.786)
Epoch: [18][1410/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.5041 (2.5427)	Prec@1 39.000 (37.861)	Prec@5 67.500 (68.797)
Epoch: [18][1420/9018]	Time 0.620 (0.617)	Data 0.001 (0.002)	Loss 2.6403 (2.5430)	Prec@1 34.500 (37.856)	Prec@5 66.000 (68.792)
Epoch: [18][1430/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.5204 (2.5432)	Prec@1 39.500 (37.851)	Prec@5 69.000 (68.787)
Epoch: [18][1440/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.3193 (2.5428)	Prec@1 42.000 (37.857)	Prec@5 75.000 (68.795)
Epoch: [18][1450/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 2.4651 (2.5424)	Prec@1 41.500 (37.864)	Prec@5 71.000 (68.801)
Epoch: [18][1460/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.6586 (2.5426)	Prec@1 35.000 (37.864)	Prec@5 64.000 (68.794)
Epoch: [18][1470/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.4199 (2.5425)	Prec@1 39.500 (37.863)	Prec@5 74.500 (68.804)
Epoch: [18][1480/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.7415 (2.5428)	Prec@1 37.000 (37.857)	Prec@5 65.000 (68.800)
Epoch: [18][1490/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.5537 (2.5430)	Prec@1 37.000 (37.853)	Prec@5 70.500 (68.793)
Epoch: [18][1500/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.6640 (2.5434)	Prec@1 35.500 (37.844)	Prec@5 67.500 (68.793)
Epoch: [18][1510/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.5273 (2.5432)	Prec@1 38.500 (37.850)	Prec@5 67.500 (68.798)
Epoch: [18][1520/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.8974 (2.5436)	Prec@1 29.000 (37.847)	Prec@5 63.000 (68.798)
Epoch: [18][1530/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.4596 (2.5434)	Prec@1 36.500 (37.854)	Prec@5 72.500 (68.804)
Epoch: [18][1540/9018]	Time 0.612 (0.617)	Data 0.001 (0.002)	Loss 2.5689 (2.5434)	Prec@1 36.000 (37.844)	Prec@5 69.500 (68.807)
Epoch: [18][1550/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.7381 (2.5432)	Prec@1 32.500 (37.840)	Prec@5 64.500 (68.811)
Epoch: [18][1560/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.8484 (2.5434)	Prec@1 35.000 (37.838)	Prec@5 66.000 (68.808)
Epoch: [18][1570/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.3991 (2.5433)	Prec@1 39.500 (37.839)	Prec@5 68.500 (68.803)
Epoch: [18][1580/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.7281 (2.5435)	Prec@1 36.000 (37.830)	Prec@5 63.500 (68.800)
Epoch: [18][1590/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.4651 (2.5438)	Prec@1 44.000 (37.830)	Prec@5 67.500 (68.778)
Epoch: [18][1600/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.5460 (2.5442)	Prec@1 39.000 (37.824)	Prec@5 69.500 (68.775)
Epoch: [18][1610/9018]	Time 0.636 (0.617)	Data 0.001 (0.002)	Loss 2.3577 (2.5440)	Prec@1 41.500 (37.824)	Prec@5 73.500 (68.785)
Epoch: [18][1620/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.6631 (2.5442)	Prec@1 37.000 (37.824)	Prec@5 65.000 (68.774)
Epoch: [18][1630/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.5832 (2.5448)	Prec@1 37.000 (37.819)	Prec@5 68.500 (68.765)
Epoch: [18][1640/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.5156 (2.5446)	Prec@1 36.000 (37.816)	Prec@5 69.000 (68.773)
Epoch: [18][1650/9018]	Time 0.733 (0.617)	Data 0.001 (0.002)	Loss 2.4986 (2.5447)	Prec@1 40.000 (37.815)	Prec@5 68.000 (68.768)
Epoch: [18][1660/9018]	Time 0.626 (0.617)	Data 0.001 (0.002)	Loss 2.5947 (2.5448)	Prec@1 34.000 (37.809)	Prec@5 69.500 (68.766)
Epoch: [18][1670/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.6468 (2.5448)	Prec@1 39.500 (37.807)	Prec@5 64.000 (68.768)
Epoch: [18][1680/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 2.5926 (2.5448)	Prec@1 41.000 (37.806)	Prec@5 70.500 (68.765)
Epoch: [18][1690/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.4876 (2.5445)	Prec@1 38.500 (37.810)	Prec@5 70.000 (68.769)
Epoch: [18][1700/9018]	Time 0.720 (0.617)	Data 0.001 (0.002)	Loss 2.5280 (2.5442)	Prec@1 41.500 (37.825)	Prec@5 71.000 (68.776)
Epoch: [18][1710/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.6139 (2.5442)	Prec@1 37.000 (37.820)	Prec@5 66.000 (68.778)
Epoch: [18][1720/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.4435 (2.5443)	Prec@1 39.000 (37.809)	Prec@5 69.000 (68.771)
Epoch: [18][1730/9018]	Time 0.636 (0.617)	Data 0.001 (0.002)	Loss 2.4213 (2.5442)	Prec@1 37.000 (37.802)	Prec@5 71.000 (68.770)
Epoch: [18][1740/9018]	Time 0.609 (0.617)	Data 0.001 (0.002)	Loss 2.6707 (2.5442)	Prec@1 34.500 (37.803)	Prec@5 67.500 (68.771)
Epoch: [18][1750/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 2.7319 (2.5444)	Prec@1 33.000 (37.796)	Prec@5 65.000 (68.760)
Epoch: [18][1760/9018]	Time 0.640 (0.617)	Data 0.001 (0.002)	Loss 2.5951 (2.5443)	Prec@1 35.500 (37.788)	Prec@5 69.500 (68.765)
Epoch: [18][1770/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.8129 (2.5443)	Prec@1 33.000 (37.792)	Prec@5 65.000 (68.761)
Epoch: [18][1780/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.4318 (2.5443)	Prec@1 37.000 (37.786)	Prec@5 68.500 (68.757)
Epoch: [18][1790/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.4153 (2.5443)	Prec@1 39.000 (37.779)	Prec@5 70.500 (68.761)
Epoch: [18][1800/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.4066 (2.5442)	Prec@1 39.500 (37.781)	Prec@5 73.000 (68.767)
Epoch: [18][1810/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.4799 (2.5435)	Prec@1 37.500 (37.790)	Prec@5 72.000 (68.783)
Epoch: [18][1820/9018]	Time 0.636 (0.617)	Data 0.001 (0.002)	Loss 2.6427 (2.5437)	Prec@1 37.000 (37.795)	Prec@5 64.500 (68.777)
Epoch: [18][1830/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.7007 (2.5441)	Prec@1 36.500 (37.789)	Prec@5 63.500 (68.768)
Epoch: [18][1840/9018]	Time 0.635 (0.617)	Data 0.001 (0.002)	Loss 2.4437 (2.5442)	Prec@1 44.000 (37.793)	Prec@5 71.000 (68.768)
Epoch: [18][1850/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.6410 (2.5446)	Prec@1 37.500 (37.788)	Prec@5 66.500 (68.757)
Epoch: [18][1860/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.6387 (2.5449)	Prec@1 37.000 (37.781)	Prec@5 68.000 (68.753)
Epoch: [18][1870/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.5359 (2.5449)	Prec@1 39.500 (37.779)	Prec@5 71.000 (68.752)
Epoch: [18][1880/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.7591 (2.5447)	Prec@1 34.500 (37.783)	Prec@5 60.500 (68.753)
Epoch: [18][1890/9018]	Time 0.614 (0.617)	Data 0.001 (0.002)	Loss 2.4725 (2.5444)	Prec@1 41.000 (37.788)	Prec@5 70.500 (68.755)
Epoch: [18][1900/9018]	Time 0.611 (0.617)	Data 0.001 (0.002)	Loss 2.5899 (2.5443)	Prec@1 40.000 (37.793)	Prec@5 67.000 (68.762)
Epoch: [18][1910/9018]	Time 0.637 (0.616)	Data 0.001 (0.002)	Loss 2.7403 (2.5445)	Prec@1 34.500 (37.793)	Prec@5 66.000 (68.757)
Epoch: [18][1920/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.3771 (2.5443)	Prec@1 40.500 (37.798)	Prec@5 73.000 (68.759)
Epoch: [18][1930/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.8071 (2.5445)	Prec@1 34.500 (37.794)	Prec@5 63.000 (68.753)
Epoch: [18][1940/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.3663 (2.5443)	Prec@1 40.000 (37.797)	Prec@5 71.000 (68.761)
Epoch: [18][1950/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.4763 (2.5441)	Prec@1 37.000 (37.795)	Prec@5 68.500 (68.764)
Epoch: [18][1960/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.5189 (2.5440)	Prec@1 35.500 (37.793)	Prec@5 68.000 (68.771)
Epoch: [18][1970/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5851 (2.5441)	Prec@1 40.000 (37.794)	Prec@5 69.000 (68.771)
Epoch: [18][1980/9018]	Time 0.734 (0.616)	Data 0.001 (0.002)	Loss 2.4755 (2.5443)	Prec@1 36.500 (37.785)	Prec@5 72.000 (68.772)
Epoch: [18][1990/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4831 (2.5441)	Prec@1 38.500 (37.789)	Prec@5 67.500 (68.770)
Epoch: [18][2000/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4709 (2.5442)	Prec@1 36.000 (37.789)	Prec@5 69.000 (68.764)
Epoch: [18][2010/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 2.4928 (2.5442)	Prec@1 38.000 (37.790)	Prec@5 71.000 (68.763)
Epoch: [18][2020/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.4435 (2.5441)	Prec@1 40.000 (37.794)	Prec@5 65.500 (68.768)
Epoch: [18][2030/9018]	Time 0.736 (0.616)	Data 0.001 (0.002)	Loss 2.7434 (2.5441)	Prec@1 33.500 (37.794)	Prec@5 63.500 (68.765)
Epoch: [18][2040/9018]	Time 0.638 (0.616)	Data 0.001 (0.002)	Loss 2.5411 (2.5443)	Prec@1 38.500 (37.793)	Prec@5 68.500 (68.761)
Epoch: [18][2050/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5569 (2.5444)	Prec@1 40.500 (37.792)	Prec@5 69.000 (68.764)
Epoch: [18][2060/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.4856 (2.5441)	Prec@1 38.000 (37.787)	Prec@5 68.500 (68.765)
Epoch: [18][2070/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5480 (2.5441)	Prec@1 36.500 (37.787)	Prec@5 66.000 (68.765)
Epoch: [18][2080/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.4516 (2.5443)	Prec@1 37.500 (37.782)	Prec@5 74.000 (68.763)
Epoch: [18][2090/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5637 (2.5443)	Prec@1 41.000 (37.785)	Prec@5 71.000 (68.762)
Epoch: [18][2100/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5801 (2.5446)	Prec@1 35.000 (37.778)	Prec@5 68.500 (68.757)
Epoch: [18][2110/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.6835 (2.5442)	Prec@1 34.000 (37.781)	Prec@5 67.500 (68.769)
Epoch: [18][2120/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5265 (2.5444)	Prec@1 32.500 (37.770)	Prec@5 69.000 (68.766)
Epoch: [18][2130/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.2954 (2.5444)	Prec@1 42.000 (37.772)	Prec@5 73.500 (68.765)
Epoch: [18][2140/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6702 (2.5447)	Prec@1 39.500 (37.767)	Prec@5 63.500 (68.754)
Epoch: [18][2150/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.3806 (2.5444)	Prec@1 42.000 (37.773)	Prec@5 75.500 (68.761)
Epoch: [18][2160/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5060 (2.5448)	Prec@1 35.500 (37.763)	Prec@5 69.000 (68.759)
Epoch: [18][2170/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.3827 (2.5449)	Prec@1 40.000 (37.759)	Prec@5 69.000 (68.752)
Epoch: [18][2180/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.8318 (2.5449)	Prec@1 38.500 (37.763)	Prec@5 65.500 (68.751)
Epoch: [18][2190/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.7290 (2.5450)	Prec@1 32.500 (37.764)	Prec@5 66.500 (68.748)
Epoch: [18][2200/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5077 (2.5452)	Prec@1 32.500 (37.757)	Prec@5 70.500 (68.750)
Epoch: [18][2210/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.7162 (2.5451)	Prec@1 35.000 (37.758)	Prec@5 68.000 (68.754)
Epoch: [18][2220/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8048 (2.5453)	Prec@1 30.500 (37.742)	Prec@5 64.000 (68.753)
Epoch: [18][2230/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.7118 (2.5453)	Prec@1 36.000 (37.742)	Prec@5 65.000 (68.751)
Epoch: [18][2240/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5867 (2.5453)	Prec@1 35.500 (37.744)	Prec@5 66.000 (68.748)
Epoch: [18][2250/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8013 (2.5456)	Prec@1 33.500 (37.734)	Prec@5 62.500 (68.745)
Epoch: [18][2260/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5082 (2.5455)	Prec@1 39.000 (37.733)	Prec@5 69.000 (68.743)
Epoch: [18][2270/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6361 (2.5454)	Prec@1 34.500 (37.735)	Prec@5 68.000 (68.745)
Epoch: [18][2280/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6522 (2.5458)	Prec@1 35.500 (37.724)	Prec@5 65.000 (68.733)
Epoch: [18][2290/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.8292 (2.5460)	Prec@1 33.500 (37.720)	Prec@5 63.000 (68.735)
Epoch: [18][2300/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6314 (2.5464)	Prec@1 33.500 (37.715)	Prec@5 67.000 (68.724)
Epoch: [18][2310/9018]	Time 0.730 (0.616)	Data 0.001 (0.002)	Loss 2.6626 (2.5464)	Prec@1 36.500 (37.714)	Prec@5 67.000 (68.725)
Epoch: [18][2320/9018]	Time 0.588 (0.616)	Data 0.001 (0.002)	Loss 2.6253 (2.5465)	Prec@1 36.500 (37.712)	Prec@5 70.000 (68.722)
Epoch: [18][2330/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6556 (2.5466)	Prec@1 36.500 (37.708)	Prec@5 68.500 (68.726)
Epoch: [18][2340/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.7265 (2.5470)	Prec@1 31.500 (37.700)	Prec@5 65.000 (68.717)
Epoch: [18][2350/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5473 (2.5466)	Prec@1 38.500 (37.708)	Prec@5 69.500 (68.728)
Epoch: [18][2360/9018]	Time 0.727 (0.616)	Data 0.001 (0.002)	Loss 2.7598 (2.5466)	Prec@1 33.500 (37.707)	Prec@5 65.500 (68.727)
Epoch: [18][2370/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.3603 (2.5466)	Prec@1 39.500 (37.708)	Prec@5 76.000 (68.727)
Epoch: [18][2380/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4020 (2.5465)	Prec@1 43.000 (37.707)	Prec@5 74.500 (68.732)
Epoch: [18][2390/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.5733 (2.5466)	Prec@1 42.500 (37.712)	Prec@5 69.000 (68.731)
Epoch: [18][2400/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5613 (2.5466)	Prec@1 39.000 (37.714)	Prec@5 67.500 (68.728)
Epoch: [18][2410/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.6878 (2.5467)	Prec@1 36.000 (37.713)	Prec@5 67.500 (68.728)
Epoch: [18][2420/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.5976 (2.5467)	Prec@1 32.000 (37.712)	Prec@5 64.500 (68.724)
Epoch: [18][2430/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.7291 (2.5470)	Prec@1 37.000 (37.710)	Prec@5 65.000 (68.719)
Epoch: [18][2440/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6123 (2.5470)	Prec@1 35.500 (37.707)	Prec@5 69.000 (68.718)
Epoch: [18][2450/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.3738 (2.5468)	Prec@1 41.000 (37.712)	Prec@5 73.000 (68.721)
Epoch: [18][2460/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.6390 (2.5468)	Prec@1 36.500 (37.710)	Prec@5 69.500 (68.723)
Epoch: [18][2470/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6187 (2.5469)	Prec@1 36.000 (37.713)	Prec@5 70.000 (68.720)
Epoch: [18][2480/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6793 (2.5473)	Prec@1 37.000 (37.710)	Prec@5 65.000 (68.713)
Epoch: [18][2490/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5047 (2.5474)	Prec@1 38.500 (37.704)	Prec@5 71.500 (68.710)
Epoch: [18][2500/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6986 (2.5477)	Prec@1 33.500 (37.700)	Prec@5 66.500 (68.705)
Epoch: [18][2510/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6233 (2.5479)	Prec@1 41.000 (37.699)	Prec@5 67.000 (68.702)
Epoch: [18][2520/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.3981 (2.5478)	Prec@1 43.000 (37.704)	Prec@5 71.000 (68.700)
Epoch: [18][2530/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5904 (2.5478)	Prec@1 35.500 (37.704)	Prec@5 68.000 (68.698)
Epoch: [18][2540/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8707 (2.5481)	Prec@1 33.500 (37.696)	Prec@5 58.000 (68.689)
Epoch: [18][2550/9018]	Time 0.638 (0.616)	Data 0.001 (0.002)	Loss 2.6026 (2.5484)	Prec@1 38.000 (37.687)	Prec@5 64.500 (68.679)
Epoch: [18][2560/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.6578 (2.5486)	Prec@1 34.000 (37.685)	Prec@5 65.500 (68.671)
Epoch: [18][2570/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.6110 (2.5488)	Prec@1 38.500 (37.681)	Prec@5 67.000 (68.662)
Epoch: [18][2580/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.7559 (2.5489)	Prec@1 32.500 (37.680)	Prec@5 60.500 (68.657)
Epoch: [18][2590/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5913 (2.5487)	Prec@1 37.000 (37.682)	Prec@5 67.500 (68.663)
Epoch: [18][2600/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.3571 (2.5485)	Prec@1 39.500 (37.686)	Prec@5 72.000 (68.666)
Epoch: [18][2610/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.7672 (2.5489)	Prec@1 33.500 (37.674)	Prec@5 66.500 (68.660)
Epoch: [18][2620/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4309 (2.5488)	Prec@1 35.500 (37.676)	Prec@5 74.500 (68.660)
Epoch: [18][2630/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.7186 (2.5488)	Prec@1 36.000 (37.682)	Prec@5 65.500 (68.662)
Epoch: [18][2640/9018]	Time 0.739 (0.616)	Data 0.001 (0.002)	Loss 2.5725 (2.5488)	Prec@1 37.500 (37.682)	Prec@5 71.500 (68.664)
Epoch: [18][2650/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5789 (2.5490)	Prec@1 39.500 (37.679)	Prec@5 68.000 (68.659)
Epoch: [18][2660/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.3748 (2.5488)	Prec@1 36.000 (37.680)	Prec@5 69.000 (68.661)
Epoch: [18][2670/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5329 (2.5487)	Prec@1 34.500 (37.677)	Prec@5 69.000 (68.660)
Epoch: [18][2680/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.4946 (2.5487)	Prec@1 38.500 (37.682)	Prec@5 73.000 (68.660)
Epoch: [18][2690/9018]	Time 0.753 (0.616)	Data 0.001 (0.002)	Loss 2.5006 (2.5485)	Prec@1 39.500 (37.688)	Prec@5 71.000 (68.664)
Epoch: [18][2700/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4445 (2.5486)	Prec@1 37.000 (37.689)	Prec@5 69.000 (68.663)
Epoch: [18][2710/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.6520 (2.5486)	Prec@1 36.000 (37.688)	Prec@5 64.500 (68.655)
Epoch: [18][2720/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5545 (2.5488)	Prec@1 40.000 (37.693)	Prec@5 71.500 (68.655)
Epoch: [18][2730/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.8932 (2.5491)	Prec@1 31.500 (37.689)	Prec@5 60.500 (68.647)
Epoch: [18][2740/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.3945 (2.5488)	Prec@1 40.000 (37.688)	Prec@5 73.500 (68.650)
Epoch: [18][2750/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4650 (2.5488)	Prec@1 37.500 (37.687)	Prec@5 68.000 (68.647)
Epoch: [18][2760/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.7054 (2.5492)	Prec@1 38.500 (37.679)	Prec@5 64.000 (68.637)
Epoch: [18][2770/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.5119 (2.5490)	Prec@1 37.500 (37.681)	Prec@5 70.500 (68.642)
Epoch: [18][2780/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.3453 (2.5489)	Prec@1 40.000 (37.680)	Prec@5 75.000 (68.640)
Epoch: [18][2790/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5701 (2.5492)	Prec@1 38.000 (37.675)	Prec@5 67.000 (68.636)
Epoch: [18][2800/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.6326 (2.5490)	Prec@1 34.500 (37.677)	Prec@5 63.500 (68.638)
Epoch: [18][2810/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.6459 (2.5492)	Prec@1 36.500 (37.674)	Prec@5 66.000 (68.634)
Epoch: [18][2820/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6313 (2.5489)	Prec@1 34.500 (37.676)	Prec@5 66.000 (68.639)
Epoch: [18][2830/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.6433 (2.5491)	Prec@1 33.500 (37.668)	Prec@5 68.000 (68.633)
Epoch: [18][2840/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.5756 (2.5492)	Prec@1 35.500 (37.665)	Prec@5 69.500 (68.633)
Epoch: [18][2850/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.5871 (2.5494)	Prec@1 37.500 (37.661)	Prec@5 68.000 (68.629)
Epoch: [18][2860/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5644 (2.5494)	Prec@1 36.500 (37.659)	Prec@5 67.000 (68.624)
Epoch: [18][2870/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6927 (2.5492)	Prec@1 35.000 (37.658)	Prec@5 68.000 (68.632)
Epoch: [18][2880/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5993 (2.5495)	Prec@1 40.500 (37.656)	Prec@5 68.000 (68.628)
Epoch: [18][2890/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.4555 (2.5493)	Prec@1 40.500 (37.662)	Prec@5 69.000 (68.632)
Epoch: [18][2900/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4019 (2.5492)	Prec@1 33.000 (37.661)	Prec@5 72.500 (68.631)
Epoch: [18][2910/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6348 (2.5494)	Prec@1 34.000 (37.657)	Prec@5 68.500 (68.628)
Epoch: [18][2920/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.3755 (2.5495)	Prec@1 40.500 (37.654)	Prec@5 74.000 (68.626)
Epoch: [18][2930/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6320 (2.5494)	Prec@1 35.000 (37.653)	Prec@5 68.000 (68.626)
Epoch: [18][2940/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.3835 (2.5497)	Prec@1 40.000 (37.651)	Prec@5 72.000 (68.621)
Epoch: [18][2950/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.5946 (2.5498)	Prec@1 40.500 (37.650)	Prec@5 68.000 (68.617)
Epoch: [18][2960/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.7695 (2.5500)	Prec@1 30.500 (37.646)	Prec@5 67.500 (68.618)
Epoch: [18][2970/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 2.7559 (2.5501)	Prec@1 37.500 (37.640)	Prec@5 63.000 (68.614)
Epoch: [18][2980/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.7045 (2.5504)	Prec@1 34.000 (37.637)	Prec@5 64.500 (68.611)
Epoch: [18][2990/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8773 (2.5505)	Prec@1 31.000 (37.634)	Prec@5 66.000 (68.608)
Epoch: [18][3000/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4840 (2.5507)	Prec@1 36.500 (37.631)	Prec@5 68.500 (68.602)
Epoch: [18][3010/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5517 (2.5509)	Prec@1 38.500 (37.627)	Prec@5 70.500 (68.599)
Epoch: [18][3020/9018]	Time 0.726 (0.616)	Data 0.001 (0.002)	Loss 2.3964 (2.5508)	Prec@1 40.000 (37.627)	Prec@5 71.000 (68.601)
Epoch: [18][3030/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.4472 (2.5505)	Prec@1 34.500 (37.628)	Prec@5 72.000 (68.607)
Epoch: [18][3040/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.6426 (2.5505)	Prec@1 36.500 (37.626)	Prec@5 66.000 (68.608)
Epoch: [18][3050/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5756 (2.5506)	Prec@1 41.500 (37.630)	Prec@5 69.000 (68.607)
Epoch: [18][3060/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.2177 (2.5507)	Prec@1 46.500 (37.626)	Prec@5 74.500 (68.608)
Epoch: [18][3070/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.8807 (2.5511)	Prec@1 29.500 (37.619)	Prec@5 63.000 (68.601)
Epoch: [18][3080/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.6407 (2.5510)	Prec@1 35.000 (37.617)	Prec@5 69.500 (68.601)
Epoch: [18][3090/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.5570 (2.5510)	Prec@1 40.500 (37.619)	Prec@5 70.000 (68.600)
Epoch: [18][3100/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.5328 (2.5510)	Prec@1 39.500 (37.619)	Prec@5 65.000 (68.596)
Epoch: [18][3110/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.3915 (2.5513)	Prec@1 37.500 (37.614)	Prec@5 73.000 (68.592)
Epoch: [18][3120/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.2580 (2.5513)	Prec@1 42.500 (37.616)	Prec@5 73.000 (68.589)
Epoch: [18][3130/9018]	Time 0.612 (0.616)	Data 0.003 (0.001)	Loss 2.7684 (2.5513)	Prec@1 31.000 (37.615)	Prec@5 66.000 (68.592)
Epoch: [18][3140/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.8066 (2.5515)	Prec@1 31.000 (37.613)	Prec@5 64.500 (68.587)
Epoch: [18][3150/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.6042 (2.5513)	Prec@1 33.000 (37.617)	Prec@5 71.500 (68.593)
Epoch: [18][3160/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.4304 (2.5513)	Prec@1 38.000 (37.621)	Prec@5 74.500 (68.591)
Epoch: [18][3170/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.3990 (2.5514)	Prec@1 42.500 (37.619)	Prec@5 72.500 (68.590)
Epoch: [18][3180/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.4936 (2.5515)	Prec@1 42.000 (37.618)	Prec@5 71.000 (68.585)
Epoch: [18][3190/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.4317 (2.5515)	Prec@1 43.000 (37.614)	Prec@5 72.000 (68.586)
Epoch: [18][3200/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.5543 (2.5517)	Prec@1 40.500 (37.614)	Prec@5 69.500 (68.580)
Epoch: [18][3210/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.5582 (2.5521)	Prec@1 37.500 (37.607)	Prec@5 68.000 (68.575)
Epoch: [18][3220/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.5958 (2.5521)	Prec@1 33.500 (37.602)	Prec@5 68.000 (68.574)
Epoch: [18][3230/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.4844 (2.5523)	Prec@1 43.500 (37.601)	Prec@5 73.000 (68.572)
Epoch: [18][3240/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6805 (2.5524)	Prec@1 36.000 (37.597)	Prec@5 66.500 (68.569)
Epoch: [18][3250/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.4214 (2.5522)	Prec@1 39.000 (37.600)	Prec@5 72.000 (68.578)
Epoch: [18][3260/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.4538 (2.5523)	Prec@1 35.500 (37.594)	Prec@5 71.000 (68.579)
Epoch: [18][3270/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.6219 (2.5523)	Prec@1 37.500 (37.595)	Prec@5 70.500 (68.580)
Epoch: [18][3280/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.4836 (2.5523)	Prec@1 37.000 (37.595)	Prec@5 69.000 (68.578)
Epoch: [18][3290/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.6650 (2.5523)	Prec@1 42.500 (37.597)	Prec@5 66.500 (68.577)
Epoch: [18][3300/9018]	Time 0.731 (0.616)	Data 0.001 (0.001)	Loss 3.1012 (2.5523)	Prec@1 27.000 (37.600)	Prec@5 56.500 (68.578)
Epoch: [18][3310/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.4133 (2.5523)	Prec@1 42.500 (37.603)	Prec@5 69.500 (68.575)
Epoch: [18][3320/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.6313 (2.5523)	Prec@1 32.500 (37.605)	Prec@5 64.500 (68.571)
Epoch: [18][3330/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.7366 (2.5522)	Prec@1 35.500 (37.607)	Prec@5 68.500 (68.574)
Epoch: [18][3340/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.6122 (2.5523)	Prec@1 37.500 (37.605)	Prec@5 67.500 (68.574)
Epoch: [18][3350/9018]	Time 0.761 (0.616)	Data 0.001 (0.001)	Loss 2.3715 (2.5522)	Prec@1 45.000 (37.611)	Prec@5 71.000 (68.573)
Epoch: [18][3360/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.7572 (2.5524)	Prec@1 35.000 (37.608)	Prec@5 66.500 (68.571)
Epoch: [18][3370/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.2571 (2.5525)	Prec@1 44.000 (37.609)	Prec@5 71.500 (68.569)
Epoch: [18][3380/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.6753 (2.5526)	Prec@1 37.500 (37.607)	Prec@5 66.500 (68.568)
Epoch: [18][3390/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.8985 (2.5526)	Prec@1 31.500 (37.609)	Prec@5 61.000 (68.569)
Epoch: [18][3400/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.5493 (2.5528)	Prec@1 38.500 (37.605)	Prec@5 66.000 (68.562)
Epoch: [18][3410/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.5409 (2.5530)	Prec@1 37.000 (37.599)	Prec@5 72.000 (68.561)
Epoch: [18][3420/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.5665 (2.5532)	Prec@1 37.000 (37.596)	Prec@5 63.500 (68.560)
Epoch: [18][3430/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.2472 (2.5530)	Prec@1 40.500 (37.599)	Prec@5 76.000 (68.561)
Epoch: [18][3440/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.5507 (2.5530)	Prec@1 36.000 (37.602)	Prec@5 71.000 (68.559)
Epoch: [18][3450/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.3457 (2.5529)	Prec@1 43.000 (37.608)	Prec@5 72.500 (68.563)
Epoch: [18][3460/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.7079 (2.5528)	Prec@1 30.000 (37.609)	Prec@5 66.500 (68.564)
Epoch: [18][3470/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.6806 (2.5528)	Prec@1 33.500 (37.609)	Prec@5 65.500 (68.563)
Epoch: [18][3480/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.5802 (2.5528)	Prec@1 35.500 (37.614)	Prec@5 70.000 (68.565)
Epoch: [18][3490/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.4219 (2.5529)	Prec@1 39.000 (37.614)	Prec@5 70.500 (68.561)
Epoch: [18][3500/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.6576 (2.5529)	Prec@1 38.000 (37.614)	Prec@5 69.500 (68.563)
Epoch: [18][3510/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.5572 (2.5529)	Prec@1 38.000 (37.612)	Prec@5 70.500 (68.563)
Epoch: [18][3520/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.5290 (2.5528)	Prec@1 38.500 (37.613)	Prec@5 64.500 (68.562)
Epoch: [18][3530/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.6766 (2.5525)	Prec@1 35.500 (37.618)	Prec@5 66.000 (68.568)
Epoch: [18][3540/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.5078 (2.5527)	Prec@1 36.500 (37.613)	Prec@5 70.500 (68.569)
Epoch: [18][3550/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.4694 (2.5525)	Prec@1 40.500 (37.616)	Prec@5 71.500 (68.573)
Epoch: [18][3560/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.3695 (2.5523)	Prec@1 41.000 (37.619)	Prec@5 76.500 (68.578)
Epoch: [18][3570/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.4179 (2.5522)	Prec@1 39.500 (37.619)	Prec@5 70.500 (68.580)
Epoch: [18][3580/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.4622 (2.5523)	Prec@1 40.500 (37.617)	Prec@5 69.500 (68.576)
Epoch: [18][3590/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.7046 (2.5523)	Prec@1 32.500 (37.618)	Prec@5 63.000 (68.576)
Epoch: [18][3600/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.4733 (2.5522)	Prec@1 40.500 (37.625)	Prec@5 70.500 (68.581)
Epoch: [18][3610/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.6435 (2.5522)	Prec@1 36.000 (37.622)	Prec@5 67.000 (68.580)
Epoch: [18][3620/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.4962 (2.5525)	Prec@1 38.500 (37.616)	Prec@5 71.000 (68.575)
Epoch: [18][3630/9018]	Time 0.749 (0.616)	Data 0.001 (0.001)	Loss 2.3662 (2.5524)	Prec@1 40.500 (37.616)	Prec@5 72.000 (68.574)
Epoch: [18][3640/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.5331 (2.5524)	Prec@1 40.000 (37.619)	Prec@5 68.000 (68.576)
Epoch: [18][3650/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.5093 (2.5525)	Prec@1 36.000 (37.616)	Prec@5 71.000 (68.571)
Epoch: [18][3660/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.5775 (2.5525)	Prec@1 33.500 (37.614)	Prec@5 68.000 (68.570)
Epoch: [18][3670/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.5751 (2.5526)	Prec@1 41.000 (37.616)	Prec@5 70.000 (68.569)
Epoch: [18][3680/9018]	Time 0.725 (0.616)	Data 0.001 (0.001)	Loss 2.8101 (2.5527)	Prec@1 34.000 (37.613)	Prec@5 63.000 (68.570)
Epoch: [18][3690/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6400 (2.5527)	Prec@1 37.000 (37.615)	Prec@5 69.000 (68.571)
Epoch: [18][3700/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.3301 (2.5526)	Prec@1 36.000 (37.618)	Prec@5 74.000 (68.575)
Epoch: [18][3710/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.3605 (2.5527)	Prec@1 46.000 (37.616)	Prec@5 74.000 (68.572)
Epoch: [18][3720/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6878 (2.5527)	Prec@1 38.500 (37.617)	Prec@5 67.000 (68.572)
Epoch: [18][3730/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.7125 (2.5528)	Prec@1 32.000 (37.613)	Prec@5 68.500 (68.572)
Epoch: [18][3740/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.5760 (2.5530)	Prec@1 36.500 (37.609)	Prec@5 69.500 (68.570)
Epoch: [18][3750/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.5445 (2.5530)	Prec@1 34.500 (37.606)	Prec@5 67.000 (68.570)
Epoch: [18][3760/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.4928 (2.5531)	Prec@1 42.500 (37.602)	Prec@5 68.500 (68.569)
Epoch: [18][3770/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.6061 (2.5530)	Prec@1 35.000 (37.603)	Prec@5 70.000 (68.570)
Epoch: [18][3780/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.5338 (2.5530)	Prec@1 36.000 (37.606)	Prec@5 69.000 (68.569)
Epoch: [18][3790/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.4742 (2.5530)	Prec@1 39.000 (37.608)	Prec@5 69.000 (68.568)
Epoch: [18][3800/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6655 (2.5532)	Prec@1 36.000 (37.606)	Prec@5 64.500 (68.566)
Epoch: [18][3810/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.5907 (2.5532)	Prec@1 35.500 (37.604)	Prec@5 69.000 (68.564)
Epoch: [18][3820/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.4861 (2.5532)	Prec@1 37.000 (37.606)	Prec@5 69.500 (68.565)
Epoch: [18][3830/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.6748 (2.5532)	Prec@1 35.000 (37.602)	Prec@5 67.000 (68.566)
Epoch: [18][3840/9018]	Time 0.638 (0.616)	Data 0.001 (0.001)	Loss 2.4320 (2.5533)	Prec@1 43.000 (37.605)	Prec@5 72.000 (68.567)
Epoch: [18][3850/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.4314 (2.5532)	Prec@1 37.500 (37.609)	Prec@5 69.500 (68.569)
Epoch: [18][3860/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.3131 (2.5531)	Prec@1 44.500 (37.615)	Prec@5 70.000 (68.569)
Epoch: [18][3870/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.6991 (2.5533)	Prec@1 36.000 (37.616)	Prec@5 63.000 (68.565)
Epoch: [18][3880/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.6761 (2.5534)	Prec@1 33.000 (37.616)	Prec@5 67.500 (68.562)
Epoch: [18][3890/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.7303 (2.5537)	Prec@1 31.000 (37.610)	Prec@5 62.500 (68.556)
Epoch: [18][3900/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.6279 (2.5538)	Prec@1 32.500 (37.608)	Prec@5 68.000 (68.553)
Epoch: [18][3910/9018]	Time 0.636 (0.616)	Data 0.001 (0.001)	Loss 2.4787 (2.5538)	Prec@1 38.000 (37.609)	Prec@5 69.000 (68.553)
Epoch: [18][3920/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.5004 (2.5539)	Prec@1 38.000 (37.608)	Prec@5 69.000 (68.550)
Epoch: [18][3930/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.3314 (2.5539)	Prec@1 43.000 (37.611)	Prec@5 75.000 (68.552)
Epoch: [18][3940/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.5230 (2.5540)	Prec@1 37.000 (37.609)	Prec@5 67.500 (68.551)
Epoch: [18][3950/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.8858 (2.5540)	Prec@1 33.000 (37.607)	Prec@5 65.500 (68.556)
Epoch: [18][3960/9018]	Time 0.716 (0.616)	Data 0.001 (0.001)	Loss 2.3898 (2.5538)	Prec@1 46.000 (37.611)	Prec@5 73.000 (68.557)
Epoch: [18][3970/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.6998 (2.5540)	Prec@1 34.000 (37.608)	Prec@5 65.500 (68.554)
Epoch: [18][3980/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.4696 (2.5542)	Prec@1 39.500 (37.604)	Prec@5 74.500 (68.552)
Epoch: [18][3990/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.4681 (2.5541)	Prec@1 38.500 (37.603)	Prec@5 70.500 (68.554)
Epoch: [18][4000/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.7607 (2.5541)	Prec@1 30.500 (37.602)	Prec@5 67.500 (68.554)
Epoch: [18][4010/9018]	Time 0.713 (0.616)	Data 0.001 (0.001)	Loss 2.4245 (2.5539)	Prec@1 38.500 (37.606)	Prec@5 71.000 (68.557)
Epoch: [18][4020/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.3456 (2.5538)	Prec@1 41.500 (37.611)	Prec@5 70.500 (68.558)
Epoch: [18][4030/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.5111 (2.5538)	Prec@1 40.500 (37.610)	Prec@5 69.500 (68.558)
Epoch: [18][4040/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.3143 (2.5539)	Prec@1 42.500 (37.609)	Prec@5 71.000 (68.555)
Epoch: [18][4050/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.4237 (2.5540)	Prec@1 39.500 (37.604)	Prec@5 70.000 (68.551)
Epoch: [18][4060/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.4083 (2.5540)	Prec@1 41.500 (37.607)	Prec@5 71.000 (68.549)
Epoch: [18][4070/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.4824 (2.5540)	Prec@1 41.000 (37.609)	Prec@5 67.500 (68.548)
Epoch: [18][4080/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.4610 (2.5539)	Prec@1 39.500 (37.612)	Prec@5 72.000 (68.550)
Epoch: [18][4090/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.5489 (2.5539)	Prec@1 42.500 (37.616)	Prec@5 69.000 (68.548)
Epoch: [18][4100/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.7330 (2.5539)	Prec@1 35.000 (37.618)	Prec@5 67.500 (68.549)
Epoch: [18][4110/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.5291 (2.5539)	Prec@1 34.500 (37.616)	Prec@5 71.500 (68.548)
Epoch: [18][4120/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.6133 (2.5540)	Prec@1 36.500 (37.618)	Prec@5 66.500 (68.547)
Epoch: [18][4130/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.6378 (2.5539)	Prec@1 37.000 (37.621)	Prec@5 65.500 (68.549)
Epoch: [18][4140/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.4682 (2.5540)	Prec@1 35.000 (37.620)	Prec@5 69.000 (68.544)
Epoch: [18][4150/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.5602 (2.5541)	Prec@1 37.000 (37.619)	Prec@5 67.500 (68.541)
Epoch: [18][4160/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.5932 (2.5542)	Prec@1 33.500 (37.617)	Prec@5 70.000 (68.543)
Epoch: [18][4170/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.4577 (2.5542)	Prec@1 36.000 (37.614)	Prec@5 72.000 (68.544)
Epoch: [18][4180/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.4459 (2.5542)	Prec@1 40.000 (37.613)	Prec@5 71.000 (68.542)
Epoch: [18][4190/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6756 (2.5542)	Prec@1 36.500 (37.612)	Prec@5 68.500 (68.543)
Epoch: [18][4200/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6747 (2.5542)	Prec@1 33.500 (37.613)	Prec@5 63.000 (68.540)
Epoch: [18][4210/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6603 (2.5541)	Prec@1 38.000 (37.616)	Prec@5 66.500 (68.540)
Epoch: [18][4220/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.4743 (2.5541)	Prec@1 38.500 (37.616)	Prec@5 73.000 (68.544)
Epoch: [18][4230/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.3750 (2.5538)	Prec@1 38.000 (37.621)	Prec@5 73.500 (68.548)
Epoch: [18][4240/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.5144 (2.5538)	Prec@1 38.500 (37.622)	Prec@5 67.000 (68.549)
Epoch: [18][4250/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.5145 (2.5539)	Prec@1 35.000 (37.621)	Prec@5 70.500 (68.550)
Epoch: [18][4260/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6955 (2.5540)	Prec@1 30.000 (37.618)	Prec@5 64.000 (68.549)
Epoch: [18][4270/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.5322 (2.5540)	Prec@1 39.500 (37.619)	Prec@5 71.500 (68.545)
Epoch: [18][4280/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.6061 (2.5541)	Prec@1 39.000 (37.618)	Prec@5 65.500 (68.544)
Epoch: [18][4290/9018]	Time 0.729 (0.616)	Data 0.001 (0.001)	Loss 2.3311 (2.5540)	Prec@1 42.000 (37.623)	Prec@5 72.000 (68.545)
Epoch: [18][4300/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6483 (2.5541)	Prec@1 34.500 (37.619)	Prec@5 67.500 (68.544)
Epoch: [18][4310/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.7100 (2.5543)	Prec@1 36.000 (37.616)	Prec@5 65.000 (68.537)
Epoch: [18][4320/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.3959 (2.5542)	Prec@1 39.000 (37.616)	Prec@5 72.500 (68.540)
Epoch: [18][4330/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5888 (2.5542)	Prec@1 35.500 (37.614)	Prec@5 70.500 (68.538)
Epoch: [18][4340/9018]	Time 0.728 (0.616)	Data 0.001 (0.001)	Loss 2.4592 (2.5542)	Prec@1 40.500 (37.615)	Prec@5 69.000 (68.538)
Epoch: [18][4350/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6059 (2.5542)	Prec@1 30.000 (37.613)	Prec@5 70.000 (68.539)
Epoch: [18][4360/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3962 (2.5542)	Prec@1 38.000 (37.614)	Prec@5 71.500 (68.543)
Epoch: [18][4370/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5620 (2.5541)	Prec@1 39.500 (37.616)	Prec@5 69.500 (68.542)
Epoch: [18][4380/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5606 (2.5540)	Prec@1 39.500 (37.617)	Prec@5 67.500 (68.543)
Epoch: [18][4390/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.4708 (2.5540)	Prec@1 39.500 (37.616)	Prec@5 70.500 (68.541)
Epoch: [18][4400/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6258 (2.5540)	Prec@1 36.500 (37.620)	Prec@5 66.000 (68.542)
Epoch: [18][4410/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5426 (2.5541)	Prec@1 38.000 (37.618)	Prec@5 68.500 (68.541)
Epoch: [18][4420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6186 (2.5541)	Prec@1 36.000 (37.618)	Prec@5 63.000 (68.537)
Epoch: [18][4430/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6529 (2.5542)	Prec@1 36.500 (37.619)	Prec@5 64.000 (68.534)
Epoch: [18][4440/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7333 (2.5542)	Prec@1 36.000 (37.616)	Prec@5 64.000 (68.534)
Epoch: [18][4450/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3682 (2.5542)	Prec@1 45.500 (37.616)	Prec@5 73.500 (68.535)
Epoch: [18][4460/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6020 (2.5542)	Prec@1 36.500 (37.618)	Prec@5 69.000 (68.536)
Epoch: [18][4470/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6964 (2.5542)	Prec@1 36.000 (37.620)	Prec@5 63.000 (68.534)
Epoch: [18][4480/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3480 (2.5541)	Prec@1 41.000 (37.620)	Prec@5 69.500 (68.534)
Epoch: [18][4490/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5797 (2.5542)	Prec@1 35.000 (37.618)	Prec@5 68.000 (68.533)
Epoch: [18][4500/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6478 (2.5542)	Prec@1 34.500 (37.617)	Prec@5 68.500 (68.536)
Epoch: [18][4510/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5853 (2.5542)	Prec@1 37.000 (37.619)	Prec@5 67.500 (68.536)
Epoch: [18][4520/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6267 (2.5541)	Prec@1 39.000 (37.621)	Prec@5 70.500 (68.538)
Epoch: [18][4530/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6139 (2.5540)	Prec@1 38.500 (37.625)	Prec@5 64.500 (68.541)
Epoch: [18][4540/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7162 (2.5543)	Prec@1 33.500 (37.622)	Prec@5 65.000 (68.537)
Epoch: [18][4550/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5761 (2.5545)	Prec@1 34.500 (37.615)	Prec@5 70.000 (68.531)
Epoch: [18][4560/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6822 (2.5547)	Prec@1 37.000 (37.611)	Prec@5 68.500 (68.529)
Epoch: [18][4570/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5071 (2.5548)	Prec@1 37.000 (37.610)	Prec@5 69.000 (68.527)
Epoch: [18][4580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6256 (2.5548)	Prec@1 36.500 (37.611)	Prec@5 69.500 (68.525)
Epoch: [18][4590/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5009 (2.5550)	Prec@1 38.000 (37.606)	Prec@5 71.000 (68.523)
Epoch: [18][4600/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5557 (2.5550)	Prec@1 39.500 (37.605)	Prec@5 65.000 (68.524)
Epoch: [18][4610/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7334 (2.5550)	Prec@1 32.000 (37.603)	Prec@5 65.000 (68.525)
Epoch: [18][4620/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.7173 (2.5552)	Prec@1 32.000 (37.598)	Prec@5 64.000 (68.522)
Epoch: [18][4630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7777 (2.5551)	Prec@1 33.500 (37.598)	Prec@5 64.500 (68.521)
Epoch: [18][4640/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5466 (2.5552)	Prec@1 39.500 (37.599)	Prec@5 70.000 (68.522)
Epoch: [18][4650/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5382 (2.5552)	Prec@1 36.000 (37.599)	Prec@5 68.500 (68.521)
Epoch: [18][4660/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5104 (2.5552)	Prec@1 42.000 (37.600)	Prec@5 71.500 (68.520)
Epoch: [18][4670/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.4728 (2.5552)	Prec@1 38.500 (37.602)	Prec@5 74.000 (68.520)
Epoch: [18][4680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5055 (2.5552)	Prec@1 38.500 (37.602)	Prec@5 66.500 (68.520)
Epoch: [18][4690/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6751 (2.5555)	Prec@1 35.000 (37.597)	Prec@5 65.500 (68.514)
Epoch: [18][4700/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3995 (2.5555)	Prec@1 40.500 (37.596)	Prec@5 74.500 (68.515)
Epoch: [18][4710/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4630 (2.5555)	Prec@1 38.000 (37.595)	Prec@5 67.000 (68.514)
Epoch: [18][4720/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4488 (2.5554)	Prec@1 38.000 (37.594)	Prec@5 69.500 (68.514)
Epoch: [18][4730/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5031 (2.5554)	Prec@1 39.000 (37.597)	Prec@5 68.000 (68.515)
Epoch: [18][4740/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4859 (2.5554)	Prec@1 39.000 (37.596)	Prec@5 70.000 (68.512)
Epoch: [18][4750/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5598 (2.5553)	Prec@1 40.500 (37.597)	Prec@5 66.500 (68.515)
Epoch: [18][4760/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4916 (2.5554)	Prec@1 38.500 (37.594)	Prec@5 69.000 (68.513)
Epoch: [18][4770/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6381 (2.5554)	Prec@1 37.500 (37.593)	Prec@5 68.000 (68.514)
Epoch: [18][4780/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6391 (2.5554)	Prec@1 37.000 (37.594)	Prec@5 67.500 (68.512)
Epoch: [18][4790/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5071 (2.5553)	Prec@1 39.000 (37.596)	Prec@5 70.500 (68.516)
Epoch: [18][4800/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6042 (2.5554)	Prec@1 38.000 (37.597)	Prec@5 67.500 (68.515)
Epoch: [18][4810/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4576 (2.5552)	Prec@1 39.000 (37.601)	Prec@5 69.500 (68.518)
Epoch: [18][4820/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7844 (2.5553)	Prec@1 29.000 (37.596)	Prec@5 62.500 (68.515)
Epoch: [18][4830/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4793 (2.5553)	Prec@1 37.000 (37.596)	Prec@5 70.000 (68.514)
Epoch: [18][4840/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.4991 (2.5553)	Prec@1 35.000 (37.596)	Prec@5 71.000 (68.514)
Epoch: [18][4850/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5328 (2.5554)	Prec@1 34.500 (37.596)	Prec@5 68.000 (68.514)
Epoch: [18][4860/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.3888 (2.5553)	Prec@1 40.000 (37.601)	Prec@5 75.500 (68.518)
Epoch: [18][4870/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7766 (2.5554)	Prec@1 32.000 (37.601)	Prec@5 66.000 (68.515)
Epoch: [18][4880/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4028 (2.5555)	Prec@1 42.500 (37.601)	Prec@5 72.500 (68.515)
Epoch: [18][4890/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7448 (2.5554)	Prec@1 33.000 (37.604)	Prec@5 66.500 (68.514)
Epoch: [18][4900/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8005 (2.5554)	Prec@1 30.000 (37.601)	Prec@5 61.500 (68.513)
Epoch: [18][4910/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5018 (2.5554)	Prec@1 42.500 (37.599)	Prec@5 75.000 (68.515)
Epoch: [18][4920/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5650 (2.5555)	Prec@1 35.500 (37.599)	Prec@5 69.000 (68.513)
Epoch: [18][4930/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7878 (2.5555)	Prec@1 29.000 (37.599)	Prec@5 60.500 (68.512)
Epoch: [18][4940/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5085 (2.5556)	Prec@1 41.500 (37.599)	Prec@5 69.000 (68.513)
Epoch: [18][4950/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.7777 (2.5556)	Prec@1 38.500 (37.601)	Prec@5 65.500 (68.513)
Epoch: [18][4960/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6952 (2.5556)	Prec@1 31.500 (37.600)	Prec@5 62.500 (68.512)
Epoch: [18][4970/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4061 (2.5555)	Prec@1 40.000 (37.603)	Prec@5 70.500 (68.513)
Epoch: [18][4980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4748 (2.5555)	Prec@1 34.500 (37.600)	Prec@5 68.500 (68.513)
Epoch: [18][4990/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.8378 (2.5553)	Prec@1 32.500 (37.602)	Prec@5 65.000 (68.516)
Epoch: [18][5000/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.7609 (2.5553)	Prec@1 34.500 (37.603)	Prec@5 62.000 (68.518)
Epoch: [18][5010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7784 (2.5553)	Prec@1 33.500 (37.600)	Prec@5 67.000 (68.517)
Epoch: [18][5020/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3471 (2.5552)	Prec@1 42.000 (37.602)	Prec@5 70.500 (68.517)
Epoch: [18][5030/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3116 (2.5552)	Prec@1 39.500 (37.603)	Prec@5 70.000 (68.516)
Epoch: [18][5040/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6455 (2.5553)	Prec@1 37.000 (37.603)	Prec@5 67.500 (68.515)
Epoch: [18][5050/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6060 (2.5554)	Prec@1 37.500 (37.601)	Prec@5 69.500 (68.512)
Epoch: [18][5060/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.7683 (2.5555)	Prec@1 37.000 (37.598)	Prec@5 63.000 (68.509)
Epoch: [18][5070/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5370 (2.5556)	Prec@1 44.000 (37.598)	Prec@5 69.000 (68.511)
Epoch: [18][5080/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4437 (2.5556)	Prec@1 36.000 (37.596)	Prec@5 68.500 (68.509)
Epoch: [18][5090/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4677 (2.5555)	Prec@1 37.000 (37.596)	Prec@5 71.500 (68.511)
Epoch: [18][5100/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4113 (2.5555)	Prec@1 41.500 (37.598)	Prec@5 71.500 (68.509)
Epoch: [18][5110/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6082 (2.5554)	Prec@1 35.500 (37.599)	Prec@5 68.500 (68.511)
Epoch: [18][5120/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.3207 (2.5552)	Prec@1 40.500 (37.603)	Prec@5 71.500 (68.514)
Epoch: [18][5130/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.7046 (2.5550)	Prec@1 35.500 (37.604)	Prec@5 70.000 (68.521)
Epoch: [18][5140/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4821 (2.5549)	Prec@1 42.500 (37.607)	Prec@5 68.500 (68.522)
Epoch: [18][5150/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4203 (2.5548)	Prec@1 40.500 (37.607)	Prec@5 68.000 (68.524)
Epoch: [18][5160/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7019 (2.5549)	Prec@1 36.500 (37.608)	Prec@5 69.500 (68.527)
Epoch: [18][5170/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5303 (2.5549)	Prec@1 34.500 (37.608)	Prec@5 67.500 (68.526)
Epoch: [18][5180/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5947 (2.5549)	Prec@1 36.000 (37.608)	Prec@5 67.000 (68.526)
Epoch: [18][5190/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4981 (2.5548)	Prec@1 40.000 (37.611)	Prec@5 69.500 (68.526)
Epoch: [18][5200/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6793 (2.5548)	Prec@1 34.000 (37.610)	Prec@5 67.000 (68.524)
Epoch: [18][5210/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8025 (2.5547)	Prec@1 31.500 (37.610)	Prec@5 63.500 (68.526)
Epoch: [18][5220/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5924 (2.5547)	Prec@1 36.000 (37.609)	Prec@5 68.500 (68.527)
Epoch: [18][5230/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.4742 (2.5548)	Prec@1 41.000 (37.606)	Prec@5 70.500 (68.525)
Epoch: [18][5240/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4751 (2.5548)	Prec@1 35.500 (37.603)	Prec@5 70.000 (68.525)
Epoch: [18][5250/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5605 (2.5549)	Prec@1 36.000 (37.601)	Prec@5 70.000 (68.524)
Epoch: [18][5260/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7435 (2.5549)	Prec@1 36.500 (37.600)	Prec@5 60.000 (68.521)
Epoch: [18][5270/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4108 (2.5549)	Prec@1 43.000 (37.598)	Prec@5 70.000 (68.521)
Epoch: [18][5280/9018]	Time 0.753 (0.615)	Data 0.001 (0.001)	Loss 2.7005 (2.5550)	Prec@1 32.000 (37.597)	Prec@5 64.500 (68.519)
Epoch: [18][5290/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6259 (2.5550)	Prec@1 37.000 (37.600)	Prec@5 69.000 (68.518)
Epoch: [18][5300/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7816 (2.5549)	Prec@1 34.500 (37.602)	Prec@5 65.000 (68.520)
Epoch: [18][5310/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.5734 (2.5548)	Prec@1 40.500 (37.608)	Prec@5 67.500 (68.523)
Epoch: [18][5320/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5198 (2.5547)	Prec@1 36.500 (37.607)	Prec@5 71.000 (68.524)
Epoch: [18][5330/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.4208 (2.5546)	Prec@1 41.000 (37.609)	Prec@5 69.500 (68.526)
Epoch: [18][5340/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4307 (2.5545)	Prec@1 41.500 (37.611)	Prec@5 70.000 (68.526)
Epoch: [18][5350/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4970 (2.5547)	Prec@1 41.000 (37.607)	Prec@5 73.500 (68.523)
Epoch: [18][5360/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8303 (2.5548)	Prec@1 29.000 (37.607)	Prec@5 60.000 (68.522)
Epoch: [18][5370/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.6557 (2.5547)	Prec@1 36.500 (37.610)	Prec@5 67.500 (68.523)
Epoch: [18][5380/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4827 (2.5548)	Prec@1 37.500 (37.608)	Prec@5 73.000 (68.521)
Epoch: [18][5390/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4670 (2.5549)	Prec@1 39.500 (37.610)	Prec@5 72.500 (68.520)
Epoch: [18][5400/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6021 (2.5550)	Prec@1 38.500 (37.608)	Prec@5 72.000 (68.518)
Epoch: [18][5410/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4172 (2.5550)	Prec@1 37.000 (37.606)	Prec@5 69.000 (68.519)
Epoch: [18][5420/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5215 (2.5551)	Prec@1 42.000 (37.608)	Prec@5 69.000 (68.519)
Epoch: [18][5430/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5220 (2.5551)	Prec@1 41.500 (37.606)	Prec@5 71.000 (68.516)
Epoch: [18][5440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6285 (2.5551)	Prec@1 37.000 (37.604)	Prec@5 61.000 (68.514)
Epoch: [18][5450/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5267 (2.5551)	Prec@1 41.000 (37.603)	Prec@5 68.500 (68.514)
Epoch: [18][5460/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6630 (2.5551)	Prec@1 40.500 (37.605)	Prec@5 67.000 (68.514)
Epoch: [18][5470/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7542 (2.5551)	Prec@1 33.500 (37.605)	Prec@5 64.500 (68.513)
Epoch: [18][5480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3164 (2.5550)	Prec@1 44.000 (37.608)	Prec@5 75.500 (68.516)
Epoch: [18][5490/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4358 (2.5550)	Prec@1 38.000 (37.608)	Prec@5 73.000 (68.514)
Epoch: [18][5500/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5816 (2.5551)	Prec@1 38.000 (37.605)	Prec@5 69.000 (68.512)
Epoch: [18][5510/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5341 (2.5551)	Prec@1 41.500 (37.604)	Prec@5 69.500 (68.513)
Epoch: [18][5520/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6695 (2.5551)	Prec@1 34.500 (37.605)	Prec@5 69.000 (68.513)
Epoch: [18][5530/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3363 (2.5550)	Prec@1 40.500 (37.606)	Prec@5 74.000 (68.514)
Epoch: [18][5540/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4860 (2.5550)	Prec@1 37.000 (37.604)	Prec@5 73.000 (68.515)
Epoch: [18][5550/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6606 (2.5550)	Prec@1 40.000 (37.607)	Prec@5 66.500 (68.516)
Epoch: [18][5560/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4919 (2.5549)	Prec@1 36.500 (37.610)	Prec@5 70.000 (68.517)
Epoch: [18][5570/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7085 (2.5550)	Prec@1 33.000 (37.610)	Prec@5 67.000 (68.515)
Epoch: [18][5580/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4838 (2.5550)	Prec@1 46.000 (37.611)	Prec@5 65.000 (68.515)
Epoch: [18][5590/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5217 (2.5549)	Prec@1 42.500 (37.613)	Prec@5 67.000 (68.516)
Epoch: [18][5600/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5844 (2.5549)	Prec@1 37.000 (37.613)	Prec@5 69.500 (68.516)
Epoch: [18][5610/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.4286 (2.5550)	Prec@1 40.000 (37.611)	Prec@5 70.000 (68.515)
Epoch: [18][5620/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5866 (2.5551)	Prec@1 40.000 (37.611)	Prec@5 68.500 (68.516)
Epoch: [18][5630/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8217 (2.5551)	Prec@1 37.500 (37.612)	Prec@5 63.000 (68.515)
Epoch: [18][5640/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6661 (2.5551)	Prec@1 36.000 (37.608)	Prec@5 68.000 (68.515)
Epoch: [18][5650/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4081 (2.5552)	Prec@1 42.000 (37.606)	Prec@5 69.000 (68.514)
Epoch: [18][5660/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.2795 (2.5552)	Prec@1 45.500 (37.607)	Prec@5 72.500 (68.515)
Epoch: [18][5670/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6170 (2.5552)	Prec@1 32.500 (37.608)	Prec@5 66.500 (68.517)
Epoch: [18][5680/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4434 (2.5551)	Prec@1 36.000 (37.609)	Prec@5 70.000 (68.517)
Epoch: [18][5690/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8744 (2.5552)	Prec@1 31.500 (37.606)	Prec@5 61.000 (68.517)
Epoch: [18][5700/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.8374 (2.5553)	Prec@1 33.500 (37.606)	Prec@5 61.500 (68.516)
Epoch: [18][5710/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4954 (2.5553)	Prec@1 37.000 (37.604)	Prec@5 68.000 (68.515)
Epoch: [18][5720/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5368 (2.5554)	Prec@1 37.000 (37.601)	Prec@5 68.000 (68.513)
Epoch: [18][5730/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5487 (2.5554)	Prec@1 37.000 (37.600)	Prec@5 69.500 (68.514)
Epoch: [18][5740/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7321 (2.5554)	Prec@1 31.000 (37.600)	Prec@5 64.000 (68.515)
Epoch: [18][5750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5831 (2.5553)	Prec@1 36.000 (37.599)	Prec@5 67.500 (68.516)
Epoch: [18][5760/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6961 (2.5553)	Prec@1 38.500 (37.599)	Prec@5 63.500 (68.512)
Epoch: [18][5770/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4522 (2.5554)	Prec@1 41.500 (37.599)	Prec@5 72.000 (68.511)
Epoch: [18][5780/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6604 (2.5554)	Prec@1 35.000 (37.599)	Prec@5 66.500 (68.512)
Epoch: [18][5790/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7467 (2.5554)	Prec@1 36.500 (37.597)	Prec@5 63.500 (68.510)
Epoch: [18][5800/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5493 (2.5554)	Prec@1 40.000 (37.594)	Prec@5 68.000 (68.510)
Epoch: [18][5810/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3226 (2.5554)	Prec@1 45.000 (37.596)	Prec@5 71.500 (68.510)
Epoch: [18][5820/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3524 (2.5553)	Prec@1 41.000 (37.598)	Prec@5 72.500 (68.512)
Epoch: [18][5830/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6923 (2.5554)	Prec@1 34.000 (37.596)	Prec@5 64.500 (68.510)
Epoch: [18][5840/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6498 (2.5555)	Prec@1 37.000 (37.597)	Prec@5 67.000 (68.510)
Epoch: [18][5850/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4824 (2.5554)	Prec@1 39.000 (37.598)	Prec@5 69.500 (68.510)
Epoch: [18][5860/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4804 (2.5555)	Prec@1 38.500 (37.598)	Prec@5 72.000 (68.510)
Epoch: [18][5870/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5831 (2.5555)	Prec@1 35.500 (37.596)	Prec@5 70.000 (68.510)
Epoch: [18][5880/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6071 (2.5555)	Prec@1 36.000 (37.594)	Prec@5 70.500 (68.511)
Epoch: [18][5890/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5438 (2.5555)	Prec@1 36.500 (37.592)	Prec@5 68.500 (68.513)
Epoch: [18][5900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4894 (2.5554)	Prec@1 37.000 (37.593)	Prec@5 71.000 (68.513)
Epoch: [18][5910/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5850 (2.5555)	Prec@1 43.000 (37.593)	Prec@5 66.000 (68.512)
Epoch: [18][5920/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6361 (2.5556)	Prec@1 37.500 (37.592)	Prec@5 68.500 (68.510)
Epoch: [18][5930/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6572 (2.5557)	Prec@1 38.500 (37.590)	Prec@5 66.500 (68.508)
Epoch: [18][5940/9018]	Time 0.802 (0.615)	Data 0.001 (0.001)	Loss 2.6034 (2.5557)	Prec@1 31.500 (37.591)	Prec@5 65.500 (68.508)
Epoch: [18][5950/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5654 (2.5557)	Prec@1 42.000 (37.591)	Prec@5 65.500 (68.507)
Epoch: [18][5960/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6239 (2.5559)	Prec@1 38.500 (37.591)	Prec@5 68.000 (68.504)
Epoch: [18][5970/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5499 (2.5558)	Prec@1 38.000 (37.592)	Prec@5 70.000 (68.504)
Epoch: [18][5980/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7336 (2.5559)	Prec@1 36.500 (37.591)	Prec@5 63.000 (68.502)
Epoch: [18][5990/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.4833 (2.5561)	Prec@1 37.000 (37.588)	Prec@5 65.500 (68.499)
Epoch: [18][6000/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5925 (2.5560)	Prec@1 36.000 (37.590)	Prec@5 63.500 (68.500)
Epoch: [18][6010/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6644 (2.5559)	Prec@1 32.500 (37.591)	Prec@5 66.500 (68.502)
Epoch: [18][6020/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4715 (2.5559)	Prec@1 42.000 (37.593)	Prec@5 67.000 (68.501)
Epoch: [18][6030/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4371 (2.5558)	Prec@1 41.500 (37.593)	Prec@5 71.000 (68.503)
Epoch: [18][6040/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5274 (2.5558)	Prec@1 39.000 (37.594)	Prec@5 69.500 (68.502)
Epoch: [18][6050/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5446 (2.5557)	Prec@1 39.500 (37.596)	Prec@5 67.000 (68.505)
Epoch: [18][6060/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7408 (2.5558)	Prec@1 34.000 (37.594)	Prec@5 63.500 (68.500)
Epoch: [18][6070/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6287 (2.5558)	Prec@1 40.000 (37.592)	Prec@5 67.500 (68.502)
Epoch: [18][6080/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5943 (2.5559)	Prec@1 34.000 (37.593)	Prec@5 65.500 (68.500)
Epoch: [18][6090/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3959 (2.5557)	Prec@1 42.500 (37.594)	Prec@5 69.500 (68.504)
Epoch: [18][6100/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.8765 (2.5557)	Prec@1 36.500 (37.596)	Prec@5 66.000 (68.504)
Epoch: [18][6110/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4732 (2.5556)	Prec@1 37.000 (37.597)	Prec@5 72.000 (68.504)
Epoch: [18][6120/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5629 (2.5556)	Prec@1 36.500 (37.599)	Prec@5 67.000 (68.504)
Epoch: [18][6130/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6262 (2.5557)	Prec@1 39.000 (37.598)	Prec@5 64.500 (68.503)
Epoch: [18][6140/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.9514 (2.5557)	Prec@1 32.500 (37.598)	Prec@5 59.500 (68.502)
Epoch: [18][6150/9018]	Time 0.639 (0.615)	Data 0.002 (0.001)	Loss 2.6257 (2.5558)	Prec@1 35.000 (37.598)	Prec@5 66.000 (68.500)
Epoch: [18][6160/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7275 (2.5559)	Prec@1 33.000 (37.593)	Prec@5 62.500 (68.496)
Epoch: [18][6170/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4824 (2.5559)	Prec@1 35.000 (37.593)	Prec@5 69.500 (68.495)
Epoch: [18][6180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4276 (2.5558)	Prec@1 40.000 (37.596)	Prec@5 72.000 (68.497)
Epoch: [18][6190/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8087 (2.5559)	Prec@1 30.500 (37.596)	Prec@5 66.000 (68.496)
Epoch: [18][6200/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4468 (2.5559)	Prec@1 39.500 (37.597)	Prec@5 71.500 (68.494)
Epoch: [18][6210/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4432 (2.5559)	Prec@1 39.500 (37.596)	Prec@5 70.000 (68.493)
Epoch: [18][6220/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5714 (2.5560)	Prec@1 37.000 (37.597)	Prec@5 72.000 (68.493)
Epoch: [18][6230/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4940 (2.5560)	Prec@1 38.500 (37.595)	Prec@5 69.000 (68.493)
Epoch: [18][6240/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4224 (2.5559)	Prec@1 37.000 (37.594)	Prec@5 73.000 (68.494)
Epoch: [18][6250/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5391 (2.5559)	Prec@1 33.500 (37.591)	Prec@5 69.000 (68.495)
Epoch: [18][6260/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5238 (2.5559)	Prec@1 39.000 (37.591)	Prec@5 68.000 (68.495)
Epoch: [18][6270/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.4413 (2.5560)	Prec@1 39.500 (37.589)	Prec@5 67.000 (68.493)
Epoch: [18][6280/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4601 (2.5559)	Prec@1 40.000 (37.590)	Prec@5 71.000 (68.494)
Epoch: [18][6290/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3466 (2.5559)	Prec@1 41.000 (37.590)	Prec@5 73.000 (68.496)
Epoch: [18][6300/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5293 (2.5559)	Prec@1 40.500 (37.589)	Prec@5 69.000 (68.496)
Epoch: [18][6310/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6035 (2.5558)	Prec@1 34.500 (37.590)	Prec@5 69.000 (68.498)
Epoch: [18][6320/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.5306 (2.5557)	Prec@1 37.500 (37.591)	Prec@5 68.000 (68.499)
Epoch: [18][6330/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 3.0071 (2.5558)	Prec@1 33.500 (37.591)	Prec@5 59.000 (68.497)
Epoch: [18][6340/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7880 (2.5559)	Prec@1 33.000 (37.588)	Prec@5 62.000 (68.493)
Epoch: [18][6350/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5093 (2.5559)	Prec@1 35.500 (37.588)	Prec@5 73.000 (68.494)
Epoch: [18][6360/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5115 (2.5559)	Prec@1 35.500 (37.587)	Prec@5 68.000 (68.494)
Epoch: [18][6370/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.7581 (2.5559)	Prec@1 33.000 (37.588)	Prec@5 66.500 (68.496)
Epoch: [18][6380/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4246 (2.5559)	Prec@1 39.000 (37.586)	Prec@5 69.500 (68.496)
Epoch: [18][6390/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7314 (2.5560)	Prec@1 38.500 (37.585)	Prec@5 64.000 (68.491)
Epoch: [18][6400/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6639 (2.5561)	Prec@1 36.500 (37.584)	Prec@5 68.500 (68.491)
Epoch: [18][6410/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.8821 (2.5561)	Prec@1 38.000 (37.585)	Prec@5 60.000 (68.490)
Epoch: [18][6420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7162 (2.5561)	Prec@1 37.500 (37.587)	Prec@5 66.000 (68.491)
Epoch: [18][6430/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7108 (2.5562)	Prec@1 37.500 (37.586)	Prec@5 66.500 (68.491)
Epoch: [18][6440/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6994 (2.5562)	Prec@1 34.000 (37.586)	Prec@5 66.000 (68.491)
Epoch: [18][6450/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5406 (2.5562)	Prec@1 41.000 (37.585)	Prec@5 68.500 (68.490)
Epoch: [18][6460/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5040 (2.5561)	Prec@1 36.500 (37.585)	Prec@5 70.000 (68.494)
Epoch: [18][6470/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6169 (2.5561)	Prec@1 36.500 (37.584)	Prec@5 70.500 (68.495)
Epoch: [18][6480/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4086 (2.5561)	Prec@1 40.500 (37.585)	Prec@5 71.500 (68.497)
Epoch: [18][6490/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5780 (2.5561)	Prec@1 38.500 (37.585)	Prec@5 67.500 (68.496)
Epoch: [18][6500/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4877 (2.5562)	Prec@1 36.500 (37.581)	Prec@5 66.500 (68.493)
Epoch: [18][6510/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5328 (2.5562)	Prec@1 36.000 (37.582)	Prec@5 69.000 (68.493)
Epoch: [18][6520/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7388 (2.5562)	Prec@1 32.500 (37.583)	Prec@5 65.000 (68.495)
Epoch: [18][6530/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5371 (2.5563)	Prec@1 35.000 (37.580)	Prec@5 67.000 (68.492)
Epoch: [18][6540/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3687 (2.5563)	Prec@1 40.000 (37.581)	Prec@5 73.500 (68.493)
Epoch: [18][6550/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7032 (2.5563)	Prec@1 35.000 (37.581)	Prec@5 65.500 (68.492)
Epoch: [18][6560/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5191 (2.5563)	Prec@1 34.500 (37.582)	Prec@5 71.500 (68.491)
Epoch: [18][6570/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6042 (2.5564)	Prec@1 33.500 (37.578)	Prec@5 65.000 (68.488)
Epoch: [18][6580/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6884 (2.5564)	Prec@1 37.000 (37.577)	Prec@5 64.500 (68.487)
Epoch: [18][6590/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5867 (2.5564)	Prec@1 38.000 (37.577)	Prec@5 65.000 (68.487)
Epoch: [18][6600/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.7446 (2.5564)	Prec@1 34.000 (37.578)	Prec@5 65.000 (68.487)
Epoch: [18][6610/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6340 (2.5564)	Prec@1 37.000 (37.578)	Prec@5 66.500 (68.488)
Epoch: [18][6620/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6546 (2.5564)	Prec@1 31.000 (37.579)	Prec@5 67.500 (68.488)
Epoch: [18][6630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6687 (2.5564)	Prec@1 35.500 (37.579)	Prec@5 64.500 (68.488)
Epoch: [18][6640/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3989 (2.5563)	Prec@1 38.500 (37.579)	Prec@5 72.000 (68.491)
Epoch: [18][6650/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.3894 (2.5563)	Prec@1 42.000 (37.580)	Prec@5 72.500 (68.492)
Epoch: [18][6660/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6793 (2.5563)	Prec@1 33.500 (37.577)	Prec@5 67.500 (68.491)
Epoch: [18][6670/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5181 (2.5565)	Prec@1 37.500 (37.574)	Prec@5 69.500 (68.489)
Epoch: [18][6680/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5297 (2.5564)	Prec@1 38.500 (37.577)	Prec@5 70.000 (68.489)
Epoch: [18][6690/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6569 (2.5564)	Prec@1 36.500 (37.579)	Prec@5 68.000 (68.491)
Epoch: [18][6700/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7686 (2.5564)	Prec@1 33.500 (37.578)	Prec@5 63.500 (68.489)
Epoch: [18][6710/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.7541 (2.5565)	Prec@1 31.500 (37.577)	Prec@5 64.500 (68.488)
Epoch: [18][6720/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5241 (2.5564)	Prec@1 37.500 (37.576)	Prec@5 70.500 (68.488)
Epoch: [18][6730/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.8622 (2.5565)	Prec@1 30.000 (37.574)	Prec@5 63.000 (68.487)
Epoch: [18][6740/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3247 (2.5565)	Prec@1 39.000 (37.573)	Prec@5 77.000 (68.487)
Epoch: [18][6750/9018]	Time 0.606 (0.615)	Data 0.002 (0.001)	Loss 2.4918 (2.5566)	Prec@1 43.500 (37.574)	Prec@5 70.000 (68.486)
Epoch: [18][6760/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4215 (2.5566)	Prec@1 40.500 (37.572)	Prec@5 69.500 (68.484)
Epoch: [18][6770/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7150 (2.5566)	Prec@1 34.500 (37.573)	Prec@5 68.000 (68.483)
Epoch: [18][6780/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.6038 (2.5566)	Prec@1 32.000 (37.575)	Prec@5 66.500 (68.483)
Epoch: [18][6790/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6683 (2.5566)	Prec@1 35.500 (37.575)	Prec@5 66.500 (68.484)
Epoch: [18][6800/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7552 (2.5567)	Prec@1 35.000 (37.575)	Prec@5 62.500 (68.481)
Epoch: [18][6810/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5320 (2.5568)	Prec@1 33.500 (37.573)	Prec@5 73.500 (68.477)
Epoch: [18][6820/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7580 (2.5569)	Prec@1 38.500 (37.573)	Prec@5 67.500 (68.476)
Epoch: [18][6830/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4152 (2.5570)	Prec@1 39.500 (37.571)	Prec@5 72.500 (68.475)
Epoch: [18][6840/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6441 (2.5570)	Prec@1 34.500 (37.571)	Prec@5 66.000 (68.475)
Epoch: [18][6850/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7395 (2.5570)	Prec@1 33.500 (37.571)	Prec@5 61.500 (68.474)
Epoch: [18][6860/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.5084 (2.5570)	Prec@1 36.000 (37.570)	Prec@5 72.000 (68.474)
Epoch: [18][6870/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.8367 (2.5570)	Prec@1 33.500 (37.570)	Prec@5 62.000 (68.473)
Epoch: [18][6880/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5757 (2.5571)	Prec@1 34.000 (37.568)	Prec@5 70.500 (68.473)
Epoch: [18][6890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4888 (2.5571)	Prec@1 36.500 (37.566)	Prec@5 69.500 (68.472)
Epoch: [18][6900/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4201 (2.5572)	Prec@1 39.000 (37.564)	Prec@5 74.500 (68.470)
Epoch: [18][6910/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.3059 (2.5571)	Prec@1 40.500 (37.567)	Prec@5 74.500 (68.470)
Epoch: [18][6920/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8860 (2.5572)	Prec@1 29.000 (37.568)	Prec@5 61.500 (68.470)
Epoch: [18][6930/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.4273 (2.5572)	Prec@1 37.500 (37.567)	Prec@5 72.500 (68.470)
Epoch: [18][6940/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6182 (2.5573)	Prec@1 39.000 (37.566)	Prec@5 68.000 (68.471)
Epoch: [18][6950/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3653 (2.5571)	Prec@1 38.500 (37.567)	Prec@5 71.500 (68.473)
Epoch: [18][6960/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6788 (2.5571)	Prec@1 38.000 (37.567)	Prec@5 65.000 (68.472)
Epoch: [18][6970/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6071 (2.5572)	Prec@1 36.000 (37.565)	Prec@5 70.500 (68.471)
Epoch: [18][6980/9018]	Time 0.762 (0.615)	Data 0.001 (0.001)	Loss 2.3715 (2.5572)	Prec@1 42.000 (37.565)	Prec@5 71.500 (68.469)
Epoch: [18][6990/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6402 (2.5572)	Prec@1 36.500 (37.564)	Prec@5 67.000 (68.469)
Epoch: [18][7000/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4777 (2.5572)	Prec@1 39.500 (37.566)	Prec@5 71.500 (68.469)
Epoch: [18][7010/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6030 (2.5572)	Prec@1 34.500 (37.565)	Prec@5 68.000 (68.471)
Epoch: [18][7020/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5928 (2.5573)	Prec@1 34.500 (37.561)	Prec@5 67.000 (68.468)
Epoch: [18][7030/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4740 (2.5573)	Prec@1 35.500 (37.561)	Prec@5 73.500 (68.469)
Epoch: [18][7040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4907 (2.5574)	Prec@1 39.500 (37.560)	Prec@5 70.000 (68.468)
Epoch: [18][7050/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6378 (2.5574)	Prec@1 34.500 (37.559)	Prec@5 66.500 (68.467)
Epoch: [18][7060/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6944 (2.5574)	Prec@1 38.500 (37.560)	Prec@5 67.500 (68.466)
Epoch: [18][7070/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3774 (2.5574)	Prec@1 38.500 (37.560)	Prec@5 71.000 (68.466)
Epoch: [18][7080/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4758 (2.5574)	Prec@1 43.000 (37.561)	Prec@5 68.500 (68.465)
Epoch: [18][7090/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5424 (2.5575)	Prec@1 42.000 (37.560)	Prec@5 73.000 (68.463)
Epoch: [18][7100/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7728 (2.5574)	Prec@1 36.000 (37.562)	Prec@5 62.500 (68.463)
Epoch: [18][7110/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4994 (2.5574)	Prec@1 39.500 (37.564)	Prec@5 67.500 (68.464)
Epoch: [18][7120/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2905 (2.5574)	Prec@1 44.500 (37.566)	Prec@5 76.000 (68.465)
Epoch: [18][7130/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6400 (2.5574)	Prec@1 38.000 (37.566)	Prec@5 64.500 (68.465)
Epoch: [18][7140/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6505 (2.5575)	Prec@1 35.500 (37.565)	Prec@5 66.500 (68.464)
Epoch: [18][7150/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7979 (2.5576)	Prec@1 35.000 (37.564)	Prec@5 65.000 (68.463)
Epoch: [18][7160/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5832 (2.5576)	Prec@1 36.500 (37.564)	Prec@5 70.000 (68.463)
Epoch: [18][7170/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5629 (2.5577)	Prec@1 40.000 (37.563)	Prec@5 70.000 (68.459)
Epoch: [18][7180/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6176 (2.5577)	Prec@1 33.500 (37.564)	Prec@5 69.000 (68.460)
Epoch: [18][7190/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.5310 (2.5576)	Prec@1 38.000 (37.563)	Prec@5 70.500 (68.461)
Epoch: [18][7200/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4576 (2.5575)	Prec@1 39.000 (37.564)	Prec@5 71.000 (68.465)
Epoch: [18][7210/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2813 (2.5575)	Prec@1 40.500 (37.563)	Prec@5 70.000 (68.465)
Epoch: [18][7220/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7032 (2.5575)	Prec@1 34.000 (37.563)	Prec@5 69.000 (68.465)
Epoch: [18][7230/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5604 (2.5575)	Prec@1 39.000 (37.565)	Prec@5 69.500 (68.464)
Epoch: [18][7240/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6591 (2.5576)	Prec@1 38.500 (37.564)	Prec@5 62.500 (68.463)
Epoch: [18][7250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4708 (2.5574)	Prec@1 38.500 (37.567)	Prec@5 74.500 (68.468)
Epoch: [18][7260/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.6078 (2.5575)	Prec@1 35.000 (37.566)	Prec@5 69.000 (68.464)
Epoch: [18][7270/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7751 (2.5575)	Prec@1 37.000 (37.568)	Prec@5 63.500 (68.463)
Epoch: [18][7280/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6291 (2.5575)	Prec@1 32.500 (37.568)	Prec@5 65.000 (68.461)
Epoch: [18][7290/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5528 (2.5576)	Prec@1 43.000 (37.567)	Prec@5 67.000 (68.459)
Epoch: [18][7300/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4356 (2.5576)	Prec@1 36.000 (37.566)	Prec@5 70.500 (68.460)
Epoch: [18][7310/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.6570 (2.5576)	Prec@1 34.000 (37.565)	Prec@5 66.000 (68.461)
Epoch: [18][7320/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4202 (2.5577)	Prec@1 44.000 (37.564)	Prec@5 70.000 (68.459)
Epoch: [18][7330/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4730 (2.5577)	Prec@1 37.500 (37.565)	Prec@5 71.500 (68.459)
Epoch: [18][7340/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.3639 (2.5577)	Prec@1 38.000 (37.565)	Prec@5 71.000 (68.459)
Epoch: [18][7350/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6923 (2.5576)	Prec@1 36.500 (37.567)	Prec@5 66.500 (68.457)
Epoch: [18][7360/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6057 (2.5576)	Prec@1 37.000 (37.567)	Prec@5 66.500 (68.457)
Epoch: [18][7370/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.5835 (2.5576)	Prec@1 42.000 (37.568)	Prec@5 70.000 (68.456)
Epoch: [18][7380/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5343 (2.5576)	Prec@1 36.500 (37.570)	Prec@5 69.000 (68.458)
Epoch: [18][7390/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8727 (2.5576)	Prec@1 31.000 (37.567)	Prec@5 63.000 (68.457)
Epoch: [18][7400/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6668 (2.5577)	Prec@1 32.500 (37.567)	Prec@5 69.500 (68.458)
Epoch: [18][7410/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7142 (2.5576)	Prec@1 30.500 (37.566)	Prec@5 67.500 (68.458)
Epoch: [18][7420/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4824 (2.5577)	Prec@1 40.000 (37.564)	Prec@5 73.500 (68.457)
Epoch: [18][7430/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7492 (2.5577)	Prec@1 32.500 (37.563)	Prec@5 60.000 (68.456)
Epoch: [18][7440/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3680 (2.5576)	Prec@1 36.500 (37.562)	Prec@5 71.500 (68.459)
Epoch: [18][7450/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6009 (2.5576)	Prec@1 38.000 (37.563)	Prec@5 69.000 (68.458)
Epoch: [18][7460/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8555 (2.5577)	Prec@1 33.000 (37.561)	Prec@5 65.000 (68.457)
Epoch: [18][7470/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5380 (2.5578)	Prec@1 38.500 (37.560)	Prec@5 70.000 (68.457)
Epoch: [18][7480/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3918 (2.5579)	Prec@1 37.500 (37.560)	Prec@5 72.500 (68.456)
Epoch: [18][7490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4970 (2.5579)	Prec@1 41.000 (37.560)	Prec@5 70.000 (68.456)
Epoch: [18][7500/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5324 (2.5579)	Prec@1 35.500 (37.559)	Prec@5 69.500 (68.455)
Epoch: [18][7510/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5319 (2.5580)	Prec@1 38.500 (37.558)	Prec@5 70.000 (68.452)
Epoch: [18][7520/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6144 (2.5579)	Prec@1 40.500 (37.559)	Prec@5 65.500 (68.452)
Epoch: [18][7530/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5901 (2.5579)	Prec@1 33.500 (37.559)	Prec@5 68.500 (68.451)
Epoch: [18][7540/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6035 (2.5580)	Prec@1 38.500 (37.559)	Prec@5 68.500 (68.450)
Epoch: [18][7550/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4488 (2.5580)	Prec@1 38.000 (37.558)	Prec@5 71.000 (68.450)
Epoch: [18][7560/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4576 (2.5579)	Prec@1 41.500 (37.559)	Prec@5 71.000 (68.452)
Epoch: [18][7570/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4199 (2.5578)	Prec@1 37.500 (37.560)	Prec@5 70.500 (68.454)
Epoch: [18][7580/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7006 (2.5578)	Prec@1 37.000 (37.559)	Prec@5 67.500 (68.453)
Epoch: [18][7590/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.5298 (2.5578)	Prec@1 40.500 (37.560)	Prec@5 69.500 (68.454)
Epoch: [18][7600/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5680 (2.5578)	Prec@1 40.500 (37.559)	Prec@5 70.000 (68.452)
Epoch: [18][7610/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4999 (2.5578)	Prec@1 38.500 (37.560)	Prec@5 70.500 (68.453)
Epoch: [18][7620/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4867 (2.5578)	Prec@1 35.000 (37.561)	Prec@5 72.500 (68.454)
Epoch: [18][7630/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5066 (2.5579)	Prec@1 37.000 (37.558)	Prec@5 71.500 (68.451)
Epoch: [18][7640/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.6465 (2.5579)	Prec@1 36.500 (37.558)	Prec@5 66.500 (68.450)
Epoch: [18][7650/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4938 (2.5580)	Prec@1 41.000 (37.556)	Prec@5 70.000 (68.448)
Epoch: [18][7660/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.3726 (2.5580)	Prec@1 37.000 (37.555)	Prec@5 72.500 (68.449)
Epoch: [18][7670/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4356 (2.5580)	Prec@1 38.000 (37.554)	Prec@5 68.500 (68.449)
Epoch: [18][7680/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.3964 (2.5579)	Prec@1 42.500 (37.556)	Prec@5 71.000 (68.451)
Epoch: [18][7690/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7621 (2.5579)	Prec@1 34.500 (37.555)	Prec@5 63.000 (68.450)
Epoch: [18][7700/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.3813 (2.5580)	Prec@1 40.000 (37.554)	Prec@5 72.500 (68.449)
Epoch: [18][7710/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5000 (2.5580)	Prec@1 36.000 (37.555)	Prec@5 67.500 (68.450)
Epoch: [18][7720/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5770 (2.5580)	Prec@1 36.000 (37.555)	Prec@5 73.500 (68.450)
Epoch: [18][7730/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4521 (2.5581)	Prec@1 42.000 (37.553)	Prec@5 72.000 (68.449)
Epoch: [18][7740/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6655 (2.5583)	Prec@1 35.500 (37.551)	Prec@5 64.500 (68.447)
Epoch: [18][7750/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5440 (2.5583)	Prec@1 38.500 (37.551)	Prec@5 69.000 (68.447)
Epoch: [18][7760/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5561 (2.5583)	Prec@1 36.000 (37.551)	Prec@5 71.000 (68.448)
Epoch: [18][7770/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.8179 (2.5583)	Prec@1 36.500 (37.551)	Prec@5 59.000 (68.447)
Epoch: [18][7780/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8590 (2.5583)	Prec@1 30.500 (37.550)	Prec@5 64.000 (68.447)
Epoch: [18][7790/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6187 (2.5583)	Prec@1 37.000 (37.552)	Prec@5 66.000 (68.448)
Epoch: [18][7800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2793 (2.5583)	Prec@1 40.000 (37.552)	Prec@5 72.500 (68.448)
Epoch: [18][7810/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5560 (2.5582)	Prec@1 36.000 (37.551)	Prec@5 71.000 (68.448)
Epoch: [18][7820/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6379 (2.5582)	Prec@1 34.500 (37.551)	Prec@5 67.000 (68.448)
Epoch: [18][7830/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6734 (2.5582)	Prec@1 37.000 (37.551)	Prec@5 68.000 (68.448)
Epoch: [18][7840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4381 (2.5583)	Prec@1 41.000 (37.552)	Prec@5 70.000 (68.448)
Epoch: [18][7850/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4250 (2.5583)	Prec@1 42.500 (37.553)	Prec@5 71.500 (68.449)
Epoch: [18][7860/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.6603 (2.5583)	Prec@1 36.000 (37.554)	Prec@5 69.000 (68.448)
Epoch: [18][7870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5456 (2.5583)	Prec@1 38.000 (37.554)	Prec@5 66.000 (68.447)
Epoch: [18][7880/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6288 (2.5583)	Prec@1 35.500 (37.554)	Prec@5 68.000 (68.447)
Epoch: [18][7890/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3291 (2.5584)	Prec@1 49.000 (37.556)	Prec@5 73.000 (68.445)
Epoch: [18][7900/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5585 (2.5584)	Prec@1 36.500 (37.556)	Prec@5 68.000 (68.446)
Epoch: [18][7910/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7452 (2.5584)	Prec@1 30.500 (37.555)	Prec@5 66.000 (68.445)
Epoch: [18][7920/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.7124 (2.5584)	Prec@1 36.500 (37.556)	Prec@5 65.000 (68.445)
Epoch: [18][7930/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.2455 (2.5584)	Prec@1 45.000 (37.556)	Prec@5 76.500 (68.447)
Epoch: [18][7940/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6163 (2.5585)	Prec@1 35.500 (37.554)	Prec@5 67.000 (68.444)
Epoch: [18][7950/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3047 (2.5584)	Prec@1 44.500 (37.555)	Prec@5 74.500 (68.446)
Epoch: [18][7960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6060 (2.5584)	Prec@1 31.500 (37.553)	Prec@5 70.500 (68.445)
Epoch: [18][7970/9018]	Time 0.751 (0.615)	Data 0.001 (0.001)	Loss 2.3277 (2.5583)	Prec@1 42.000 (37.554)	Prec@5 68.500 (68.446)
Epoch: [18][7980/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6073 (2.5583)	Prec@1 37.500 (37.555)	Prec@5 69.500 (68.448)
Epoch: [18][7990/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4252 (2.5583)	Prec@1 38.500 (37.555)	Prec@5 70.500 (68.448)
Epoch: [18][8000/9018]	Time 0.646 (0.615)	Data 0.001 (0.001)	Loss 2.5407 (2.5583)	Prec@1 34.500 (37.555)	Prec@5 71.000 (68.447)
Epoch: [18][8010/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4113 (2.5583)	Prec@1 41.000 (37.556)	Prec@5 71.500 (68.447)
Epoch: [18][8020/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6638 (2.5583)	Prec@1 37.000 (37.556)	Prec@5 66.500 (68.447)
Epoch: [18][8030/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2845 (2.5583)	Prec@1 42.500 (37.556)	Prec@5 74.500 (68.448)
Epoch: [18][8040/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4310 (2.5583)	Prec@1 42.000 (37.556)	Prec@5 69.000 (68.446)
Epoch: [18][8050/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2357 (2.5583)	Prec@1 41.500 (37.557)	Prec@5 73.500 (68.446)
Epoch: [18][8060/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8028 (2.5583)	Prec@1 30.000 (37.553)	Prec@5 63.000 (68.446)
Epoch: [18][8070/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6891 (2.5585)	Prec@1 38.500 (37.552)	Prec@5 65.500 (68.442)
Epoch: [18][8080/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5775 (2.5584)	Prec@1 33.000 (37.554)	Prec@5 73.000 (68.444)
Epoch: [18][8090/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5612 (2.5584)	Prec@1 36.000 (37.552)	Prec@5 72.000 (68.442)
Epoch: [18][8100/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5205 (2.5584)	Prec@1 38.000 (37.553)	Prec@5 71.500 (68.440)
Epoch: [18][8110/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6574 (2.5584)	Prec@1 40.000 (37.554)	Prec@5 63.500 (68.440)
Epoch: [18][8120/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4065 (2.5584)	Prec@1 40.500 (37.555)	Prec@5 70.500 (68.441)
Epoch: [18][8130/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6474 (2.5584)	Prec@1 33.000 (37.553)	Prec@5 65.000 (68.440)
Epoch: [18][8140/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4936 (2.5585)	Prec@1 39.500 (37.552)	Prec@5 67.500 (68.439)
Epoch: [18][8150/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5262 (2.5584)	Prec@1 36.000 (37.553)	Prec@5 69.000 (68.440)
Epoch: [18][8160/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7359 (2.5585)	Prec@1 33.000 (37.552)	Prec@5 63.500 (68.439)
Epoch: [18][8170/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4793 (2.5585)	Prec@1 38.500 (37.551)	Prec@5 70.000 (68.438)
Epoch: [18][8180/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7594 (2.5587)	Prec@1 33.000 (37.548)	Prec@5 63.500 (68.435)
Epoch: [18][8190/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6606 (2.5587)	Prec@1 40.500 (37.550)	Prec@5 67.500 (68.435)
Epoch: [18][8200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4048 (2.5586)	Prec@1 42.500 (37.552)	Prec@5 72.500 (68.435)
Epoch: [18][8210/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5750 (2.5587)	Prec@1 32.500 (37.551)	Prec@5 70.500 (68.435)
Epoch: [18][8220/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5137 (2.5587)	Prec@1 36.500 (37.552)	Prec@5 68.500 (68.436)
Epoch: [18][8230/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7662 (2.5586)	Prec@1 36.000 (37.552)	Prec@5 65.500 (68.436)
Epoch: [18][8240/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6338 (2.5587)	Prec@1 36.500 (37.552)	Prec@5 66.500 (68.435)
Epoch: [18][8250/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.5164 (2.5587)	Prec@1 40.000 (37.552)	Prec@5 69.000 (68.436)
Epoch: [18][8260/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4715 (2.5587)	Prec@1 41.500 (37.553)	Prec@5 71.000 (68.436)
Epoch: [18][8270/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7112 (2.5587)	Prec@1 35.000 (37.553)	Prec@5 69.000 (68.436)
Epoch: [18][8280/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6084 (2.5588)	Prec@1 35.000 (37.553)	Prec@5 65.000 (68.434)
Epoch: [18][8290/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6138 (2.5587)	Prec@1 39.000 (37.553)	Prec@5 67.000 (68.433)
Epoch: [18][8300/9018]	Time 0.709 (0.615)	Data 0.001 (0.001)	Loss 2.4837 (2.5587)	Prec@1 38.000 (37.553)	Prec@5 68.500 (68.433)
Epoch: [18][8310/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6358 (2.5586)	Prec@1 40.500 (37.555)	Prec@5 67.000 (68.434)
Epoch: [18][8320/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4373 (2.5585)	Prec@1 40.500 (37.557)	Prec@5 70.000 (68.436)
Epoch: [18][8330/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7267 (2.5587)	Prec@1 35.500 (37.554)	Prec@5 60.500 (68.433)
Epoch: [18][8340/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7232 (2.5588)	Prec@1 35.000 (37.553)	Prec@5 65.500 (68.433)
Epoch: [18][8350/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6407 (2.5587)	Prec@1 36.000 (37.553)	Prec@5 70.500 (68.434)
Epoch: [18][8360/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4095 (2.5587)	Prec@1 37.000 (37.552)	Prec@5 71.000 (68.434)
Epoch: [18][8370/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6549 (2.5587)	Prec@1 41.000 (37.552)	Prec@5 67.500 (68.435)
Epoch: [18][8380/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5104 (2.5587)	Prec@1 38.500 (37.553)	Prec@5 71.000 (68.436)
Epoch: [18][8390/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5073 (2.5587)	Prec@1 38.500 (37.553)	Prec@5 72.500 (68.436)
Epoch: [18][8400/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6358 (2.5588)	Prec@1 35.000 (37.552)	Prec@5 65.000 (68.434)
Epoch: [18][8410/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6768 (2.5588)	Prec@1 38.500 (37.552)	Prec@5 67.500 (68.433)
Epoch: [18][8420/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5434 (2.5588)	Prec@1 38.500 (37.553)	Prec@5 66.500 (68.434)
Epoch: [18][8430/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7023 (2.5588)	Prec@1 39.500 (37.554)	Prec@5 67.000 (68.436)
Epoch: [18][8440/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5648 (2.5589)	Prec@1 39.000 (37.553)	Prec@5 67.500 (68.434)
Epoch: [18][8450/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4647 (2.5590)	Prec@1 38.000 (37.552)	Prec@5 71.500 (68.432)
Epoch: [18][8460/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3875 (2.5589)	Prec@1 44.000 (37.552)	Prec@5 73.000 (68.433)
Epoch: [18][8470/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2958 (2.5590)	Prec@1 39.500 (37.549)	Prec@5 72.500 (68.433)
Epoch: [18][8480/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4928 (2.5590)	Prec@1 36.000 (37.547)	Prec@5 71.500 (68.432)
Epoch: [18][8490/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6468 (2.5590)	Prec@1 35.000 (37.547)	Prec@5 66.000 (68.433)
Epoch: [18][8500/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5683 (2.5590)	Prec@1 38.500 (37.548)	Prec@5 70.000 (68.432)
Epoch: [18][8510/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5003 (2.5590)	Prec@1 37.000 (37.549)	Prec@5 67.500 (68.433)
Epoch: [18][8520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6391 (2.5589)	Prec@1 40.500 (37.551)	Prec@5 66.500 (68.434)
Epoch: [18][8530/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3097 (2.5589)	Prec@1 38.000 (37.552)	Prec@5 76.000 (68.435)
Epoch: [18][8540/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7269 (2.5589)	Prec@1 34.000 (37.551)	Prec@5 68.000 (68.434)
Epoch: [18][8550/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3948 (2.5589)	Prec@1 38.500 (37.551)	Prec@5 71.500 (68.434)
Epoch: [18][8560/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5631 (2.5589)	Prec@1 40.500 (37.553)	Prec@5 64.500 (68.435)
Epoch: [18][8570/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3783 (2.5589)	Prec@1 45.000 (37.554)	Prec@5 70.000 (68.433)
Epoch: [18][8580/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.8166 (2.5589)	Prec@1 36.000 (37.554)	Prec@5 65.500 (68.433)
Epoch: [18][8590/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5586 (2.5589)	Prec@1 36.000 (37.553)	Prec@5 68.000 (68.433)
Epoch: [18][8600/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3894 (2.5588)	Prec@1 41.000 (37.554)	Prec@5 75.000 (68.435)
Epoch: [18][8610/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4758 (2.5588)	Prec@1 40.500 (37.553)	Prec@5 72.000 (68.434)
Epoch: [18][8620/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3512 (2.5589)	Prec@1 44.500 (37.553)	Prec@5 73.000 (68.434)
Epoch: [18][8630/9018]	Time 0.753 (0.615)	Data 0.001 (0.001)	Loss 2.4580 (2.5590)	Prec@1 40.500 (37.553)	Prec@5 70.000 (68.430)
Epoch: [18][8640/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5767 (2.5590)	Prec@1 37.000 (37.553)	Prec@5 66.500 (68.430)
Epoch: [18][8650/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6732 (2.5590)	Prec@1 38.500 (37.553)	Prec@5 65.500 (68.428)
Epoch: [18][8660/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7053 (2.5591)	Prec@1 33.500 (37.552)	Prec@5 64.500 (68.427)
Epoch: [18][8670/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7117 (2.5591)	Prec@1 32.500 (37.549)	Prec@5 64.000 (68.427)
Epoch: [18][8680/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.4167 (2.5592)	Prec@1 42.500 (37.549)	Prec@5 72.500 (68.425)
Epoch: [18][8690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4321 (2.5591)	Prec@1 35.500 (37.550)	Prec@5 71.500 (68.427)
Epoch: [18][8700/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7868 (2.5591)	Prec@1 35.000 (37.548)	Prec@5 65.500 (68.427)
Epoch: [18][8710/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6471 (2.5592)	Prec@1 36.000 (37.547)	Prec@5 70.000 (68.425)
Epoch: [18][8720/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6290 (2.5592)	Prec@1 37.500 (37.547)	Prec@5 67.500 (68.424)
Epoch: [18][8730/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6852 (2.5593)	Prec@1 37.500 (37.547)	Prec@5 64.500 (68.423)
Epoch: [18][8740/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4451 (2.5593)	Prec@1 38.500 (37.545)	Prec@5 70.500 (68.422)
Epoch: [18][8750/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6272 (2.5593)	Prec@1 32.500 (37.545)	Prec@5 66.000 (68.422)
Epoch: [18][8760/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6569 (2.5593)	Prec@1 37.500 (37.545)	Prec@5 68.500 (68.422)
Epoch: [18][8770/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5537 (2.5593)	Prec@1 39.000 (37.545)	Prec@5 71.000 (68.423)
Epoch: [18][8780/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5965 (2.5593)	Prec@1 36.000 (37.543)	Prec@5 66.500 (68.422)
Epoch: [18][8790/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5979 (2.5592)	Prec@1 38.000 (37.544)	Prec@5 67.500 (68.423)
Epoch: [18][8800/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4016 (2.5592)	Prec@1 36.000 (37.545)	Prec@5 73.000 (68.424)
Epoch: [18][8810/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5426 (2.5592)	Prec@1 45.000 (37.544)	Prec@5 69.000 (68.424)
Epoch: [18][8820/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7331 (2.5592)	Prec@1 34.500 (37.542)	Prec@5 65.000 (68.425)
Epoch: [18][8830/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5487 (2.5593)	Prec@1 38.500 (37.541)	Prec@5 67.500 (68.424)
Epoch: [18][8840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4750 (2.5593)	Prec@1 41.000 (37.541)	Prec@5 71.500 (68.423)
Epoch: [18][8850/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4576 (2.5593)	Prec@1 40.500 (37.542)	Prec@5 69.500 (68.422)
Epoch: [18][8860/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5162 (2.5593)	Prec@1 43.000 (37.542)	Prec@5 68.500 (68.422)
Epoch: [18][8870/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5294 (2.5594)	Prec@1 41.500 (37.540)	Prec@5 67.000 (68.419)
Epoch: [18][8880/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5592 (2.5595)	Prec@1 39.000 (37.540)	Prec@5 69.500 (68.419)
Epoch: [18][8890/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4602 (2.5594)	Prec@1 40.500 (37.539)	Prec@5 69.500 (68.420)
Epoch: [18][8900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5668 (2.5594)	Prec@1 39.000 (37.541)	Prec@5 67.000 (68.422)
Epoch: [18][8910/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.6305 (2.5594)	Prec@1 37.000 (37.540)	Prec@5 64.000 (68.420)
Epoch: [18][8920/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7126 (2.5594)	Prec@1 37.000 (37.540)	Prec@5 63.500 (68.421)
Epoch: [18][8930/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6007 (2.5595)	Prec@1 35.500 (37.539)	Prec@5 67.000 (68.419)
Epoch: [18][8940/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.5446 (2.5595)	Prec@1 38.500 (37.540)	Prec@5 71.000 (68.419)
Epoch: [18][8950/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3935 (2.5596)	Prec@1 37.000 (37.537)	Prec@5 71.500 (68.418)
Epoch: [18][8960/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.3827 (2.5596)	Prec@1 44.000 (37.537)	Prec@5 72.000 (68.418)
Epoch: [18][8970/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6051 (2.5596)	Prec@1 35.500 (37.539)	Prec@5 65.500 (68.419)
Epoch: [18][8980/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7665 (2.5596)	Prec@1 33.000 (37.540)	Prec@5 65.000 (68.419)
Epoch: [18][8990/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5806 (2.5596)	Prec@1 35.500 (37.538)	Prec@5 73.500 (68.418)
Epoch: [18][9000/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6003 (2.5597)	Prec@1 40.500 (37.536)	Prec@5 65.500 (68.415)
Epoch: [18][9010/9018]	Time 0.590 (0.615)	Data 0.000 (0.001)	Loss 2.3658 (2.5597)	Prec@1 41.000 (37.537)	Prec@5 73.000 (68.417)
Test: [0/183]	Time 1.368 (1.368)	Loss 3.0475 (3.0475)	Prec@1 25.500 (25.500)	Prec@5 55.000 (55.000)
Test: [10/183]	Time 0.202 (0.311)	Loss 2.0050 (2.2585)	Prec@1 51.500 (44.409)	Prec@5 77.500 (74.500)
Test: [20/183]	Time 0.198 (0.257)	Loss 3.3039 (2.2576)	Prec@1 16.500 (43.024)	Prec@5 56.000 (74.429)
Test: [30/183]	Time 0.197 (0.239)	Loss 2.7535 (2.2645)	Prec@1 30.000 (42.065)	Prec@5 64.000 (75.048)
Test: [40/183]	Time 0.187 (0.227)	Loss 3.2159 (2.2921)	Prec@1 23.500 (41.976)	Prec@5 60.000 (74.085)
Test: [50/183]	Time 0.190 (0.221)	Loss 1.8493 (2.2657)	Prec@1 49.500 (42.676)	Prec@5 83.500 (74.392)
Test: [60/183]	Time 0.197 (0.217)	Loss 2.9708 (2.3135)	Prec@1 27.500 (41.311)	Prec@5 63.000 (73.762)
Test: [70/183]	Time 0.181 (0.213)	Loss 2.0321 (2.2977)	Prec@1 44.500 (41.303)	Prec@5 83.500 (74.197)
Test: [80/183]	Time 0.210 (0.212)	Loss 1.6706 (2.2857)	Prec@1 53.500 (41.728)	Prec@5 88.500 (74.290)
Test: [90/183]	Time 0.186 (0.211)	Loss 3.4019 (2.2849)	Prec@1 24.000 (41.681)	Prec@5 55.000 (74.341)
Test: [100/183]	Time 0.191 (0.209)	Loss 1.5955 (2.2992)	Prec@1 56.500 (41.401)	Prec@5 84.500 (74.178)
Test: [110/183]	Time 0.191 (0.208)	Loss 1.3452 (2.3007)	Prec@1 69.000 (41.455)	Prec@5 89.000 (74.153)
Test: [120/183]	Time 0.190 (0.206)	Loss 2.5778 (2.3071)	Prec@1 36.000 (41.120)	Prec@5 66.000 (73.946)
Test: [130/183]	Time 0.184 (0.205)	Loss 3.2275 (2.3077)	Prec@1 17.000 (40.973)	Prec@5 60.000 (74.156)
Test: [140/183]	Time 0.200 (0.204)	Loss 2.2316 (2.2959)	Prec@1 46.000 (41.340)	Prec@5 73.000 (74.330)
Test: [150/183]	Time 0.187 (0.204)	Loss 0.8377 (2.2847)	Prec@1 81.000 (41.626)	Prec@5 94.500 (74.474)
Test: [160/183]	Time 0.194 (0.204)	Loss 2.1526 (2.2779)	Prec@1 48.500 (41.981)	Prec@5 65.500 (74.491)
Test: [170/183]	Time 0.180 (0.203)	Loss 3.0678 (2.2952)	Prec@1 19.500 (41.658)	Prec@5 66.000 (74.058)
Test: [180/183]	Time 0.177 (0.202)	Loss 2.6559 (2.3032)	Prec@1 37.000 (41.616)	Prec@5 69.000 (73.906)
 * Prec@1 41.704 Prec@5 73.973
Epoch: [19][0/9018]	Time 2.714 (2.714)	Data 2.094 (2.094)	Loss 2.8222 (2.8222)	Prec@1 31.000 (31.000)	Prec@5 61.500 (61.500)
Epoch: [19][10/9018]	Time 0.600 (0.806)	Data 0.001 (0.191)	Loss 2.6098 (2.5585)	Prec@1 36.500 (36.818)	Prec@5 63.000 (68.136)
Epoch: [19][20/9018]	Time 0.600 (0.706)	Data 0.001 (0.100)	Loss 2.6203 (2.5850)	Prec@1 32.500 (36.810)	Prec@5 67.500 (67.810)
Epoch: [19][30/9018]	Time 0.591 (0.675)	Data 0.001 (0.068)	Loss 2.4486 (2.5655)	Prec@1 42.500 (37.532)	Prec@5 69.500 (68.097)
Epoch: [19][40/9018]	Time 0.732 (0.661)	Data 0.001 (0.052)	Loss 2.3628 (2.5712)	Prec@1 37.500 (37.476)	Prec@5 72.500 (68.183)
Epoch: [19][50/9018]	Time 0.603 (0.653)	Data 0.001 (0.042)	Loss 2.4376 (2.5492)	Prec@1 38.000 (37.951)	Prec@5 69.000 (68.225)
Epoch: [19][60/9018]	Time 0.597 (0.648)	Data 0.001 (0.035)	Loss 2.3705 (2.5368)	Prec@1 44.000 (38.180)	Prec@5 70.500 (68.582)
Epoch: [19][70/9018]	Time 0.606 (0.642)	Data 0.001 (0.030)	Loss 2.6308 (2.5323)	Prec@1 38.000 (38.176)	Prec@5 68.000 (68.627)
Epoch: [19][80/9018]	Time 0.591 (0.639)	Data 0.001 (0.027)	Loss 2.5512 (2.5301)	Prec@1 38.500 (38.154)	Prec@5 65.500 (68.648)
Epoch: [19][90/9018]	Time 0.591 (0.637)	Data 0.001 (0.024)	Loss 2.5491 (2.5306)	Prec@1 33.000 (38.154)	Prec@5 71.500 (68.720)
Epoch: [19][100/9018]	Time 0.598 (0.634)	Data 0.001 (0.021)	Loss 2.4021 (2.5279)	Prec@1 43.000 (38.178)	Prec@5 69.000 (68.807)
Epoch: [19][110/9018]	Time 0.601 (0.633)	Data 0.001 (0.020)	Loss 2.5348 (2.5259)	Prec@1 34.500 (38.180)	Prec@5 69.500 (68.824)
Epoch: [19][120/9018]	Time 0.593 (0.631)	Data 0.001 (0.018)	Loss 2.5879 (2.5345)	Prec@1 34.500 (37.926)	Prec@5 66.000 (68.740)
Epoch: [19][130/9018]	Time 0.612 (0.629)	Data 0.001 (0.017)	Loss 2.7179 (2.5311)	Prec@1 33.500 (37.992)	Prec@5 67.500 (68.844)
Epoch: [19][140/9018]	Time 0.619 (0.629)	Data 0.001 (0.016)	Loss 2.5871 (2.5362)	Prec@1 39.000 (37.897)	Prec@5 66.500 (68.720)
Epoch: [19][150/9018]	Time 0.601 (0.627)	Data 0.001 (0.015)	Loss 2.5400 (2.5390)	Prec@1 36.500 (37.934)	Prec@5 68.500 (68.649)
Epoch: [19][160/9018]	Time 0.597 (0.627)	Data 0.001 (0.014)	Loss 2.7530 (2.5430)	Prec@1 33.500 (37.789)	Prec@5 62.000 (68.602)
Epoch: [19][170/9018]	Time 0.603 (0.626)	Data 0.001 (0.013)	Loss 2.5060 (2.5405)	Prec@1 39.000 (37.807)	Prec@5 68.000 (68.573)
Epoch: [19][180/9018]	Time 0.629 (0.625)	Data 0.001 (0.012)	Loss 2.5539 (2.5409)	Prec@1 36.500 (37.785)	Prec@5 71.500 (68.608)
Epoch: [19][190/9018]	Time 0.599 (0.625)	Data 0.001 (0.012)	Loss 2.8844 (2.5414)	Prec@1 34.000 (37.777)	Prec@5 66.000 (68.607)
Epoch: [19][200/9018]	Time 0.629 (0.624)	Data 0.001 (0.011)	Loss 2.2420 (2.5391)	Prec@1 41.000 (37.769)	Prec@5 74.500 (68.697)
Epoch: [19][210/9018]	Time 0.604 (0.624)	Data 0.001 (0.011)	Loss 2.4687 (2.5410)	Prec@1 40.000 (37.746)	Prec@5 70.500 (68.692)
Epoch: [19][220/9018]	Time 0.597 (0.623)	Data 0.001 (0.010)	Loss 2.5689 (2.5391)	Prec@1 34.000 (37.794)	Prec@5 67.000 (68.726)
Epoch: [19][230/9018]	Time 0.636 (0.623)	Data 0.001 (0.010)	Loss 2.6822 (2.5388)	Prec@1 35.000 (37.838)	Prec@5 64.500 (68.727)
Epoch: [19][240/9018]	Time 0.594 (0.623)	Data 0.001 (0.009)	Loss 2.5538 (2.5394)	Prec@1 32.000 (37.849)	Prec@5 72.500 (68.726)
Epoch: [19][250/9018]	Time 0.618 (0.622)	Data 0.001 (0.009)	Loss 2.5591 (2.5407)	Prec@1 36.000 (37.799)	Prec@5 67.000 (68.667)
Epoch: [19][260/9018]	Time 0.594 (0.622)	Data 0.001 (0.009)	Loss 2.4236 (2.5404)	Prec@1 41.500 (37.837)	Prec@5 71.500 (68.676)
Epoch: [19][270/9018]	Time 0.625 (0.622)	Data 0.001 (0.008)	Loss 2.6286 (2.5399)	Prec@1 32.000 (37.847)	Prec@5 64.500 (68.699)
Epoch: [19][280/9018]	Time 0.598 (0.621)	Data 0.001 (0.008)	Loss 2.5304 (2.5390)	Prec@1 37.000 (37.881)	Prec@5 69.500 (68.744)
Epoch: [19][290/9018]	Time 0.613 (0.621)	Data 0.001 (0.008)	Loss 2.3782 (2.5384)	Prec@1 41.500 (37.876)	Prec@5 72.500 (68.794)
Epoch: [19][300/9018]	Time 0.606 (0.621)	Data 0.001 (0.008)	Loss 2.3290 (2.5377)	Prec@1 41.500 (37.899)	Prec@5 73.500 (68.786)
Epoch: [19][310/9018]	Time 0.613 (0.621)	Data 0.001 (0.007)	Loss 2.6522 (2.5372)	Prec@1 33.500 (37.934)	Prec@5 67.500 (68.801)
Epoch: [19][320/9018]	Time 0.722 (0.621)	Data 0.001 (0.007)	Loss 2.6761 (2.5363)	Prec@1 38.500 (37.969)	Prec@5 65.000 (68.799)
Epoch: [19][330/9018]	Time 0.636 (0.620)	Data 0.001 (0.007)	Loss 2.3452 (2.5352)	Prec@1 41.000 (38.005)	Prec@5 74.500 (68.807)
Epoch: [19][340/9018]	Time 0.593 (0.620)	Data 0.001 (0.007)	Loss 2.7173 (2.5378)	Prec@1 36.500 (37.949)	Prec@5 66.000 (68.789)
Epoch: [19][350/9018]	Time 0.623 (0.620)	Data 0.001 (0.007)	Loss 2.5012 (2.5372)	Prec@1 38.000 (37.967)	Prec@5 69.500 (68.802)
Epoch: [19][360/9018]	Time 0.596 (0.620)	Data 0.001 (0.007)	Loss 2.5842 (2.5372)	Prec@1 39.500 (37.974)	Prec@5 72.000 (68.825)
Epoch: [19][370/9018]	Time 0.738 (0.620)	Data 0.001 (0.006)	Loss 2.6257 (2.5375)	Prec@1 38.500 (37.939)	Prec@5 66.500 (68.838)
Epoch: [19][380/9018]	Time 0.598 (0.619)	Data 0.001 (0.006)	Loss 2.0896 (2.5372)	Prec@1 44.500 (37.940)	Prec@5 78.500 (68.841)
Epoch: [19][390/9018]	Time 0.592 (0.620)	Data 0.001 (0.006)	Loss 2.5321 (2.5365)	Prec@1 36.000 (37.932)	Prec@5 68.500 (68.830)
Epoch: [19][400/9018]	Time 0.594 (0.619)	Data 0.001 (0.006)	Loss 2.4810 (2.5339)	Prec@1 40.000 (37.974)	Prec@5 71.000 (68.869)
Epoch: [19][410/9018]	Time 0.605 (0.619)	Data 0.001 (0.006)	Loss 2.4359 (2.5346)	Prec@1 37.500 (37.951)	Prec@5 72.500 (68.860)
Epoch: [19][420/9018]	Time 0.633 (0.619)	Data 0.001 (0.006)	Loss 2.4645 (2.5357)	Prec@1 36.500 (37.922)	Prec@5 73.500 (68.846)
Epoch: [19][430/9018]	Time 0.590 (0.619)	Data 0.001 (0.006)	Loss 2.5502 (2.5357)	Prec@1 37.000 (37.884)	Prec@5 64.500 (68.848)
Epoch: [19][440/9018]	Time 0.593 (0.619)	Data 0.001 (0.006)	Loss 2.4643 (2.5348)	Prec@1 36.500 (37.927)	Prec@5 71.000 (68.854)
Epoch: [19][450/9018]	Time 0.630 (0.619)	Data 0.001 (0.005)	Loss 2.5410 (2.5367)	Prec@1 42.000 (37.907)	Prec@5 67.500 (68.795)
Epoch: [19][460/9018]	Time 0.613 (0.619)	Data 0.001 (0.005)	Loss 2.4748 (2.5370)	Prec@1 37.500 (37.916)	Prec@5 72.000 (68.786)
Epoch: [19][470/9018]	Time 0.635 (0.619)	Data 0.001 (0.005)	Loss 2.6657 (2.5370)	Prec@1 33.500 (37.936)	Prec@5 64.500 (68.791)
Epoch: [19][480/9018]	Time 0.630 (0.618)	Data 0.001 (0.005)	Loss 2.7141 (2.5374)	Prec@1 38.000 (37.928)	Prec@5 65.500 (68.793)
Epoch: [19][490/9018]	Time 0.594 (0.619)	Data 0.001 (0.005)	Loss 2.6511 (2.5366)	Prec@1 33.500 (37.934)	Prec@5 63.500 (68.820)
Epoch: [19][500/9018]	Time 0.605 (0.618)	Data 0.001 (0.005)	Loss 2.7562 (2.5370)	Prec@1 35.500 (37.929)	Prec@5 66.500 (68.812)
Epoch: [19][510/9018]	Time 0.603 (0.618)	Data 0.001 (0.005)	Loss 2.3576 (2.5359)	Prec@1 39.000 (37.932)	Prec@5 74.000 (68.842)
Epoch: [19][520/9018]	Time 0.622 (0.619)	Data 0.001 (0.005)	Loss 2.2088 (2.5361)	Prec@1 43.000 (37.923)	Prec@5 73.500 (68.838)
Epoch: [19][530/9018]	Time 0.602 (0.618)	Data 0.001 (0.005)	Loss 2.5695 (2.5356)	Prec@1 37.500 (37.938)	Prec@5 66.000 (68.847)
Epoch: [19][540/9018]	Time 0.587 (0.618)	Data 0.001 (0.005)	Loss 2.6207 (2.5370)	Prec@1 38.000 (37.897)	Prec@5 67.000 (68.836)
Epoch: [19][550/9018]	Time 0.597 (0.618)	Data 0.001 (0.005)	Loss 2.4543 (2.5372)	Prec@1 38.500 (37.896)	Prec@5 69.500 (68.824)
Epoch: [19][560/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 2.4032 (2.5365)	Prec@1 42.000 (37.898)	Prec@5 70.000 (68.834)
Epoch: [19][570/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 2.5152 (2.5366)	Prec@1 42.500 (37.897)	Prec@5 72.500 (68.818)
Epoch: [19][580/9018]	Time 0.625 (0.618)	Data 0.001 (0.004)	Loss 2.7668 (2.5368)	Prec@1 35.000 (37.892)	Prec@5 67.500 (68.812)
Epoch: [19][590/9018]	Time 0.636 (0.618)	Data 0.001 (0.004)	Loss 2.5154 (2.5373)	Prec@1 38.000 (37.872)	Prec@5 69.000 (68.792)
Epoch: [19][600/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.6887 (2.5370)	Prec@1 35.500 (37.912)	Prec@5 67.000 (68.817)
Epoch: [19][610/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 2.4565 (2.5374)	Prec@1 41.000 (37.909)	Prec@5 69.500 (68.817)
Epoch: [19][620/9018]	Time 0.628 (0.618)	Data 0.001 (0.004)	Loss 2.4835 (2.5374)	Prec@1 35.500 (37.892)	Prec@5 73.000 (68.806)
Epoch: [19][630/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.7784 (2.5375)	Prec@1 30.000 (37.898)	Prec@5 61.500 (68.784)
Epoch: [19][640/9018]	Time 0.615 (0.618)	Data 0.001 (0.004)	Loss 2.4412 (2.5365)	Prec@1 38.500 (37.917)	Prec@5 72.500 (68.822)
Epoch: [19][650/9018]	Time 0.721 (0.618)	Data 0.001 (0.004)	Loss 2.7076 (2.5355)	Prec@1 35.000 (37.955)	Prec@5 67.000 (68.841)
Epoch: [19][660/9018]	Time 0.623 (0.618)	Data 0.001 (0.004)	Loss 2.7568 (2.5357)	Prec@1 38.000 (37.975)	Prec@5 63.000 (68.821)
Epoch: [19][670/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 2.2541 (2.5345)	Prec@1 47.500 (38.001)	Prec@5 76.000 (68.834)
Epoch: [19][680/9018]	Time 0.633 (0.618)	Data 0.001 (0.004)	Loss 2.5776 (2.5354)	Prec@1 39.000 (37.988)	Prec@5 65.500 (68.827)
Epoch: [19][690/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.5545 (2.5350)	Prec@1 39.500 (37.986)	Prec@5 68.000 (68.826)
Epoch: [19][700/9018]	Time 0.745 (0.618)	Data 0.001 (0.004)	Loss 2.6291 (2.5348)	Prec@1 35.000 (37.990)	Prec@5 65.500 (68.830)
Epoch: [19][710/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.7479 (2.5344)	Prec@1 35.000 (38.008)	Prec@5 64.000 (68.834)
Epoch: [19][720/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 2.5893 (2.5355)	Prec@1 33.000 (37.985)	Prec@5 68.500 (68.816)
Epoch: [19][730/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.5773 (2.5361)	Prec@1 35.000 (37.960)	Prec@5 68.500 (68.816)
Epoch: [19][740/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 2.6927 (2.5364)	Prec@1 35.000 (37.949)	Prec@5 68.000 (68.818)
Epoch: [19][750/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 2.5443 (2.5363)	Prec@1 38.500 (37.958)	Prec@5 66.500 (68.823)
Epoch: [19][760/9018]	Time 0.614 (0.617)	Data 0.001 (0.004)	Loss 2.6077 (2.5363)	Prec@1 34.500 (37.964)	Prec@5 65.000 (68.815)
Epoch: [19][770/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.5807 (2.5367)	Prec@1 38.000 (37.955)	Prec@5 69.000 (68.808)
Epoch: [19][780/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.5678 (2.5367)	Prec@1 40.000 (37.985)	Prec@5 67.000 (68.810)
Epoch: [19][790/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.2765 (2.5366)	Prec@1 39.500 (37.975)	Prec@5 72.000 (68.810)
Epoch: [19][800/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.4874 (2.5364)	Prec@1 39.500 (37.973)	Prec@5 72.500 (68.810)
Epoch: [19][810/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.6294 (2.5366)	Prec@1 38.000 (37.968)	Prec@5 64.000 (68.799)
Epoch: [19][820/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.5091 (2.5372)	Prec@1 39.500 (37.952)	Prec@5 72.000 (68.786)
Epoch: [19][830/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 2.4538 (2.5379)	Prec@1 41.000 (37.943)	Prec@5 66.500 (68.771)
Epoch: [19][840/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.3739 (2.5372)	Prec@1 40.500 (37.944)	Prec@5 73.500 (68.787)
Epoch: [19][850/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 2.5428 (2.5363)	Prec@1 37.500 (37.933)	Prec@5 69.500 (68.813)
Epoch: [19][860/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 2.5880 (2.5358)	Prec@1 38.000 (37.933)	Prec@5 65.000 (68.818)
Epoch: [19][870/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.5604 (2.5356)	Prec@1 38.500 (37.935)	Prec@5 70.500 (68.820)
Epoch: [19][880/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 2.6037 (2.5366)	Prec@1 37.000 (37.921)	Prec@5 69.500 (68.816)
Epoch: [19][890/9018]	Time 0.626 (0.617)	Data 0.001 (0.003)	Loss 2.8127 (2.5369)	Prec@1 33.500 (37.900)	Prec@5 59.500 (68.804)
Epoch: [19][900/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.8252 (2.5371)	Prec@1 31.500 (37.915)	Prec@5 62.000 (68.787)
Epoch: [19][910/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.6766 (2.5372)	Prec@1 34.500 (37.916)	Prec@5 63.500 (68.780)
Epoch: [19][920/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.5733 (2.5372)	Prec@1 35.000 (37.910)	Prec@5 71.000 (68.787)
Epoch: [19][930/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.4585 (2.5369)	Prec@1 41.000 (37.918)	Prec@5 71.000 (68.800)
Epoch: [19][940/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.5222 (2.5371)	Prec@1 38.000 (37.935)	Prec@5 69.000 (68.793)
Epoch: [19][950/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.6129 (2.5372)	Prec@1 36.500 (37.934)	Prec@5 70.500 (68.801)
Epoch: [19][960/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.6506 (2.5378)	Prec@1 34.500 (37.918)	Prec@5 68.000 (68.783)
Epoch: [19][970/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.3875 (2.5382)	Prec@1 44.500 (37.903)	Prec@5 76.000 (68.769)
Epoch: [19][980/9018]	Time 0.712 (0.617)	Data 0.001 (0.003)	Loss 2.6010 (2.5383)	Prec@1 38.000 (37.891)	Prec@5 68.500 (68.767)
Epoch: [19][990/9018]	Time 0.626 (0.617)	Data 0.001 (0.003)	Loss 2.3515 (2.5386)	Prec@1 41.000 (37.897)	Prec@5 74.000 (68.763)
Epoch: [19][1000/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.4673 (2.5395)	Prec@1 39.500 (37.876)	Prec@5 71.500 (68.759)
Epoch: [19][1010/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 2.8307 (2.5396)	Prec@1 37.000 (37.876)	Prec@5 64.000 (68.764)
Epoch: [19][1020/9018]	Time 0.592 (0.617)	Data 0.001 (0.003)	Loss 2.4866 (2.5402)	Prec@1 39.500 (37.869)	Prec@5 70.000 (68.754)
Epoch: [19][1030/9018]	Time 0.735 (0.617)	Data 0.001 (0.003)	Loss 2.4507 (2.5406)	Prec@1 37.000 (37.857)	Prec@5 70.500 (68.746)
Epoch: [19][1040/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.7078 (2.5410)	Prec@1 33.500 (37.847)	Prec@5 63.500 (68.745)
Epoch: [19][1050/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 2.6790 (2.5408)	Prec@1 35.500 (37.845)	Prec@5 65.500 (68.755)
Epoch: [19][1060/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 2.6688 (2.5409)	Prec@1 37.000 (37.855)	Prec@5 66.500 (68.747)
Epoch: [19][1070/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.7363 (2.5408)	Prec@1 34.000 (37.858)	Prec@5 64.500 (68.749)
Epoch: [19][1080/9018]	Time 0.589 (0.617)	Data 0.001 (0.003)	Loss 2.8529 (2.5415)	Prec@1 33.000 (37.839)	Prec@5 63.500 (68.747)
Epoch: [19][1090/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.6403 (2.5414)	Prec@1 37.000 (37.851)	Prec@5 68.500 (68.751)
Epoch: [19][1100/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.6166 (2.5409)	Prec@1 37.500 (37.847)	Prec@5 68.000 (68.767)
Epoch: [19][1110/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.5831 (2.5410)	Prec@1 38.000 (37.843)	Prec@5 67.000 (68.761)
Epoch: [19][1120/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.3803 (2.5414)	Prec@1 43.500 (37.842)	Prec@5 71.000 (68.737)
Epoch: [19][1130/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.5396 (2.5415)	Prec@1 35.000 (37.837)	Prec@5 64.000 (68.735)
Epoch: [19][1140/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 2.4717 (2.5412)	Prec@1 42.500 (37.844)	Prec@5 67.000 (68.736)
Epoch: [19][1150/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 2.4557 (2.5413)	Prec@1 36.000 (37.842)	Prec@5 71.500 (68.734)
Epoch: [19][1160/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.5447 (2.5420)	Prec@1 38.500 (37.823)	Prec@5 70.000 (68.729)
Epoch: [19][1170/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 2.3517 (2.5426)	Prec@1 37.500 (37.810)	Prec@5 73.000 (68.708)
Epoch: [19][1180/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.4332 (2.5429)	Prec@1 40.000 (37.799)	Prec@5 71.000 (68.699)
Epoch: [19][1190/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.3404 (2.5426)	Prec@1 41.500 (37.812)	Prec@5 73.500 (68.713)
Epoch: [19][1200/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.6079 (2.5425)	Prec@1 37.000 (37.812)	Prec@5 64.000 (68.709)
Epoch: [19][1210/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.5521 (2.5426)	Prec@1 36.500 (37.803)	Prec@5 67.500 (68.704)
Epoch: [19][1220/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6658 (2.5429)	Prec@1 36.500 (37.802)	Prec@5 65.500 (68.698)
Epoch: [19][1230/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.6906 (2.5425)	Prec@1 35.000 (37.802)	Prec@5 67.500 (68.701)
Epoch: [19][1240/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5696 (2.5426)	Prec@1 36.500 (37.801)	Prec@5 68.000 (68.697)
Epoch: [19][1250/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4948 (2.5428)	Prec@1 38.000 (37.799)	Prec@5 73.500 (68.699)
Epoch: [19][1260/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5518 (2.5425)	Prec@1 35.500 (37.799)	Prec@5 75.500 (68.701)
Epoch: [19][1270/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5493 (2.5421)	Prec@1 41.500 (37.813)	Prec@5 72.500 (68.716)
Epoch: [19][1280/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5580 (2.5420)	Prec@1 37.000 (37.815)	Prec@5 64.500 (68.719)
Epoch: [19][1290/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.9140 (2.5420)	Prec@1 35.000 (37.822)	Prec@5 60.500 (68.714)
Epoch: [19][1300/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.2569 (2.5425)	Prec@1 43.000 (37.814)	Prec@5 70.500 (68.700)
Epoch: [19][1310/9018]	Time 0.720 (0.616)	Data 0.001 (0.002)	Loss 2.4930 (2.5426)	Prec@1 40.000 (37.800)	Prec@5 66.500 (68.703)
Epoch: [19][1320/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5501 (2.5429)	Prec@1 34.500 (37.782)	Prec@5 69.500 (68.698)
Epoch: [19][1330/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.8366 (2.5436)	Prec@1 31.500 (37.765)	Prec@5 64.500 (68.691)
Epoch: [19][1340/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.6373 (2.5436)	Prec@1 35.500 (37.764)	Prec@5 66.500 (68.682)
Epoch: [19][1350/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.5472 (2.5435)	Prec@1 36.500 (37.768)	Prec@5 67.500 (68.690)
Epoch: [19][1360/9018]	Time 0.744 (0.616)	Data 0.001 (0.002)	Loss 2.4190 (2.5440)	Prec@1 42.500 (37.764)	Prec@5 74.000 (68.686)
Epoch: [19][1370/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.5335 (2.5440)	Prec@1 41.000 (37.765)	Prec@5 68.000 (68.681)
Epoch: [19][1380/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.6610 (2.5441)	Prec@1 36.000 (37.764)	Prec@5 65.000 (68.684)
Epoch: [19][1390/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.3748 (2.5439)	Prec@1 42.000 (37.773)	Prec@5 70.500 (68.682)
Epoch: [19][1400/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4001 (2.5439)	Prec@1 42.500 (37.781)	Prec@5 71.000 (68.678)
Epoch: [19][1410/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.2690 (2.5438)	Prec@1 41.500 (37.790)	Prec@5 75.500 (68.677)
Epoch: [19][1420/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.4437 (2.5435)	Prec@1 39.000 (37.807)	Prec@5 71.000 (68.680)
Epoch: [19][1430/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.8275 (2.5436)	Prec@1 35.000 (37.805)	Prec@5 64.500 (68.673)
Epoch: [19][1440/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6028 (2.5431)	Prec@1 32.500 (37.796)	Prec@5 69.000 (68.686)
Epoch: [19][1450/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5531 (2.5431)	Prec@1 35.500 (37.799)	Prec@5 69.500 (68.684)
Epoch: [19][1460/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.6602 (2.5434)	Prec@1 34.000 (37.789)	Prec@5 65.000 (68.680)
Epoch: [19][1470/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5541 (2.5435)	Prec@1 41.500 (37.795)	Prec@5 72.000 (68.679)
Epoch: [19][1480/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6184 (2.5434)	Prec@1 34.000 (37.797)	Prec@5 66.000 (68.684)
Epoch: [19][1490/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.7285 (2.5437)	Prec@1 36.500 (37.786)	Prec@5 64.500 (68.673)
Epoch: [19][1500/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.5843 (2.5440)	Prec@1 39.500 (37.785)	Prec@5 66.500 (68.674)
Epoch: [19][1510/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.7203 (2.5439)	Prec@1 34.000 (37.785)	Prec@5 64.500 (68.667)
Epoch: [19][1520/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6100 (2.5439)	Prec@1 36.500 (37.791)	Prec@5 66.500 (68.674)
Epoch: [19][1530/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.5211 (2.5441)	Prec@1 36.000 (37.795)	Prec@5 68.000 (68.669)
Epoch: [19][1540/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.4292 (2.5443)	Prec@1 36.000 (37.795)	Prec@5 72.500 (68.667)
Epoch: [19][1550/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.6434 (2.5444)	Prec@1 37.000 (37.794)	Prec@5 62.000 (68.671)
Epoch: [19][1560/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.5210 (2.5445)	Prec@1 38.000 (37.797)	Prec@5 69.500 (68.665)
Epoch: [19][1570/9018]	Time 0.645 (0.616)	Data 0.001 (0.002)	Loss 2.4627 (2.5445)	Prec@1 38.000 (37.796)	Prec@5 71.500 (68.664)
Epoch: [19][1580/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.7382 (2.5442)	Prec@1 34.000 (37.806)	Prec@5 63.000 (68.669)
Epoch: [19][1590/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.5153 (2.5441)	Prec@1 37.500 (37.797)	Prec@5 73.000 (68.669)
Epoch: [19][1600/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5848 (2.5440)	Prec@1 39.000 (37.806)	Prec@5 68.500 (68.674)
Epoch: [19][1610/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5022 (2.5442)	Prec@1 38.500 (37.796)	Prec@5 72.000 (68.675)
Epoch: [19][1620/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 2.6956 (2.5448)	Prec@1 31.500 (37.782)	Prec@5 64.500 (68.652)
Epoch: [19][1630/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.5246 (2.5450)	Prec@1 39.500 (37.775)	Prec@5 72.000 (68.652)
Epoch: [19][1640/9018]	Time 0.741 (0.616)	Data 0.001 (0.002)	Loss 2.6053 (2.5450)	Prec@1 41.000 (37.773)	Prec@5 69.500 (68.651)
Epoch: [19][1650/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.4319 (2.5451)	Prec@1 36.500 (37.770)	Prec@5 72.000 (68.648)
Epoch: [19][1660/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4955 (2.5456)	Prec@1 38.000 (37.763)	Prec@5 70.000 (68.637)
Epoch: [19][1670/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.6682 (2.5459)	Prec@1 37.000 (37.756)	Prec@5 66.000 (68.630)
Epoch: [19][1680/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.3094 (2.5458)	Prec@1 41.500 (37.756)	Prec@5 66.000 (68.628)
Epoch: [19][1690/9018]	Time 0.745 (0.616)	Data 0.001 (0.002)	Loss 2.3801 (2.5459)	Prec@1 40.000 (37.753)	Prec@5 75.000 (68.626)
Epoch: [19][1700/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.3800 (2.5461)	Prec@1 40.500 (37.753)	Prec@5 71.000 (68.622)
Epoch: [19][1710/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.6884 (2.5462)	Prec@1 37.000 (37.755)	Prec@5 64.500 (68.622)
Epoch: [19][1720/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5753 (2.5468)	Prec@1 35.500 (37.737)	Prec@5 66.500 (68.605)
Epoch: [19][1730/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5722 (2.5469)	Prec@1 36.000 (37.738)	Prec@5 69.500 (68.604)
Epoch: [19][1740/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6419 (2.5468)	Prec@1 35.000 (37.736)	Prec@5 68.000 (68.602)
Epoch: [19][1750/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.5936 (2.5466)	Prec@1 34.500 (37.743)	Prec@5 66.500 (68.605)
Epoch: [19][1760/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4402 (2.5469)	Prec@1 41.000 (37.742)	Prec@5 73.000 (68.599)
Epoch: [19][1770/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5895 (2.5468)	Prec@1 33.500 (37.747)	Prec@5 69.000 (68.606)
Epoch: [19][1780/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5313 (2.5464)	Prec@1 39.500 (37.748)	Prec@5 70.500 (68.609)
Epoch: [19][1790/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.6527 (2.5464)	Prec@1 35.500 (37.750)	Prec@5 58.500 (68.605)
Epoch: [19][1800/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5251 (2.5464)	Prec@1 40.000 (37.755)	Prec@5 72.000 (68.602)
Epoch: [19][1810/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2780 (2.5462)	Prec@1 45.500 (37.763)	Prec@5 72.000 (68.608)
Epoch: [19][1820/9018]	Time 0.641 (0.616)	Data 0.001 (0.002)	Loss 2.7158 (2.5463)	Prec@1 31.000 (37.762)	Prec@5 65.000 (68.602)
Epoch: [19][1830/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4187 (2.5461)	Prec@1 41.500 (37.771)	Prec@5 67.500 (68.602)
Epoch: [19][1840/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.7769 (2.5461)	Prec@1 32.000 (37.772)	Prec@5 63.000 (68.596)
Epoch: [19][1850/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.7768 (2.5465)	Prec@1 31.500 (37.759)	Prec@5 63.500 (68.596)
Epoch: [19][1860/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4296 (2.5465)	Prec@1 44.000 (37.760)	Prec@5 71.500 (68.594)
Epoch: [19][1870/9018]	Time 0.642 (0.616)	Data 0.001 (0.002)	Loss 2.5956 (2.5466)	Prec@1 37.500 (37.758)	Prec@5 68.000 (68.593)
Epoch: [19][1880/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.7504 (2.5469)	Prec@1 34.500 (37.750)	Prec@5 65.500 (68.595)
Epoch: [19][1890/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.8245 (2.5472)	Prec@1 32.500 (37.751)	Prec@5 65.000 (68.590)
Epoch: [19][1900/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.5962 (2.5475)	Prec@1 42.500 (37.746)	Prec@5 66.500 (68.582)
Epoch: [19][1910/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4676 (2.5478)	Prec@1 40.000 (37.742)	Prec@5 68.500 (68.575)
Epoch: [19][1920/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.5238 (2.5480)	Prec@1 38.000 (37.740)	Prec@5 73.000 (68.576)
Epoch: [19][1930/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5528 (2.5477)	Prec@1 36.000 (37.746)	Prec@5 66.500 (68.577)
Epoch: [19][1940/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.2337 (2.5480)	Prec@1 43.500 (37.744)	Prec@5 71.000 (68.568)
Epoch: [19][1950/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.9295 (2.5480)	Prec@1 31.000 (37.741)	Prec@5 59.000 (68.564)
Epoch: [19][1960/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.6154 (2.5483)	Prec@1 39.000 (37.735)	Prec@5 68.500 (68.557)
Epoch: [19][1970/9018]	Time 0.734 (0.616)	Data 0.001 (0.002)	Loss 2.6159 (2.5485)	Prec@1 36.500 (37.731)	Prec@5 69.000 (68.559)
Epoch: [19][1980/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.6524 (2.5488)	Prec@1 40.500 (37.723)	Prec@5 67.500 (68.549)
Epoch: [19][1990/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.6341 (2.5490)	Prec@1 35.500 (37.721)	Prec@5 71.000 (68.548)
Epoch: [19][2000/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.6803 (2.5486)	Prec@1 38.000 (37.730)	Prec@5 68.500 (68.556)
Epoch: [19][2010/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.2362 (2.5485)	Prec@1 42.000 (37.741)	Prec@5 73.500 (68.557)
Epoch: [19][2020/9018]	Time 0.737 (0.616)	Data 0.001 (0.002)	Loss 2.5655 (2.5488)	Prec@1 38.500 (37.740)	Prec@5 66.000 (68.547)
Epoch: [19][2030/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.3776 (2.5490)	Prec@1 41.000 (37.740)	Prec@5 72.000 (68.541)
Epoch: [19][2040/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5102 (2.5492)	Prec@1 36.000 (37.740)	Prec@5 70.000 (68.540)
Epoch: [19][2050/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.6621 (2.5492)	Prec@1 35.000 (37.738)	Prec@5 59.500 (68.533)
Epoch: [19][2060/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5558 (2.5494)	Prec@1 37.500 (37.744)	Prec@5 71.000 (68.528)
Epoch: [19][2070/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6357 (2.5494)	Prec@1 37.500 (37.741)	Prec@5 66.500 (68.531)
Epoch: [19][2080/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.7941 (2.5499)	Prec@1 33.500 (37.732)	Prec@5 65.000 (68.521)
Epoch: [19][2090/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.7078 (2.5499)	Prec@1 37.000 (37.741)	Prec@5 65.000 (68.524)
Epoch: [19][2100/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.3843 (2.5500)	Prec@1 45.000 (37.741)	Prec@5 71.000 (68.523)
Epoch: [19][2110/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6250 (2.5502)	Prec@1 36.500 (37.733)	Prec@5 65.000 (68.519)
Epoch: [19][2120/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.6470 (2.5499)	Prec@1 35.000 (37.737)	Prec@5 70.000 (68.525)
Epoch: [19][2130/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.7154 (2.5497)	Prec@1 38.500 (37.747)	Prec@5 67.000 (68.529)
Epoch: [19][2140/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6234 (2.5497)	Prec@1 37.000 (37.744)	Prec@5 68.000 (68.530)
Epoch: [19][2150/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.4710 (2.5497)	Prec@1 41.500 (37.743)	Prec@5 71.500 (68.530)
Epoch: [19][2160/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.5717 (2.5500)	Prec@1 34.500 (37.740)	Prec@5 70.000 (68.526)
Epoch: [19][2170/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5769 (2.5497)	Prec@1 36.000 (37.747)	Prec@5 68.000 (68.536)
Epoch: [19][2180/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4662 (2.5498)	Prec@1 37.500 (37.748)	Prec@5 70.500 (68.535)
Epoch: [19][2190/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.7039 (2.5496)	Prec@1 35.000 (37.748)	Prec@5 64.500 (68.537)
Epoch: [19][2200/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.4809 (2.5497)	Prec@1 36.000 (37.743)	Prec@5 69.000 (68.534)
Epoch: [19][2210/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5520 (2.5496)	Prec@1 38.000 (37.746)	Prec@5 70.500 (68.540)
Epoch: [19][2220/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6610 (2.5500)	Prec@1 33.500 (37.738)	Prec@5 66.500 (68.537)
Epoch: [19][2230/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.4713 (2.5499)	Prec@1 36.500 (37.734)	Prec@5 70.000 (68.542)
Epoch: [19][2240/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6428 (2.5499)	Prec@1 33.500 (37.734)	Prec@5 69.000 (68.541)
Epoch: [19][2250/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5015 (2.5498)	Prec@1 38.500 (37.741)	Prec@5 70.500 (68.546)
Epoch: [19][2260/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5881 (2.5501)	Prec@1 32.000 (37.734)	Prec@5 69.000 (68.541)
Epoch: [19][2270/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.8874 (2.5502)	Prec@1 30.500 (37.733)	Prec@5 60.000 (68.542)
Epoch: [19][2280/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.4528 (2.5502)	Prec@1 39.000 (37.736)	Prec@5 69.000 (68.540)
Epoch: [19][2290/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5789 (2.5501)	Prec@1 33.500 (37.733)	Prec@5 72.000 (68.543)
Epoch: [19][2300/9018]	Time 0.716 (0.615)	Data 0.001 (0.002)	Loss 2.3219 (2.5497)	Prec@1 41.000 (37.741)	Prec@5 74.000 (68.547)
Epoch: [19][2310/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7651 (2.5497)	Prec@1 33.000 (37.738)	Prec@5 62.500 (68.547)
Epoch: [19][2320/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7485 (2.5498)	Prec@1 34.000 (37.734)	Prec@5 61.000 (68.538)
Epoch: [19][2330/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.3853 (2.5495)	Prec@1 41.000 (37.734)	Prec@5 73.000 (68.547)
Epoch: [19][2340/9018]	Time 0.589 (0.615)	Data 0.001 (0.002)	Loss 2.5349 (2.5494)	Prec@1 35.000 (37.734)	Prec@5 68.500 (68.543)
Epoch: [19][2350/9018]	Time 0.726 (0.615)	Data 0.001 (0.002)	Loss 2.4011 (2.5491)	Prec@1 39.500 (37.739)	Prec@5 68.500 (68.547)
Epoch: [19][2360/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4663 (2.5493)	Prec@1 39.500 (37.740)	Prec@5 69.500 (68.546)
Epoch: [19][2370/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6405 (2.5495)	Prec@1 35.000 (37.737)	Prec@5 67.000 (68.538)
Epoch: [19][2380/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.3903 (2.5497)	Prec@1 42.500 (37.731)	Prec@5 70.500 (68.535)
Epoch: [19][2390/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6403 (2.5499)	Prec@1 38.000 (37.729)	Prec@5 65.500 (68.531)
Epoch: [19][2400/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.3581 (2.5497)	Prec@1 42.500 (37.736)	Prec@5 70.000 (68.532)
Epoch: [19][2410/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.8197 (2.5501)	Prec@1 35.500 (37.732)	Prec@5 68.000 (68.527)
Epoch: [19][2420/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6737 (2.5501)	Prec@1 34.500 (37.729)	Prec@5 67.000 (68.527)
Epoch: [19][2430/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6995 (2.5501)	Prec@1 31.500 (37.726)	Prec@5 65.500 (68.525)
Epoch: [19][2440/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.4383 (2.5502)	Prec@1 41.500 (37.724)	Prec@5 68.000 (68.522)
Epoch: [19][2450/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.6931 (2.5504)	Prec@1 35.000 (37.723)	Prec@5 66.000 (68.518)
Epoch: [19][2460/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5985 (2.5504)	Prec@1 36.000 (37.722)	Prec@5 64.000 (68.518)
Epoch: [19][2470/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5056 (2.5507)	Prec@1 37.000 (37.718)	Prec@5 69.500 (68.517)
Epoch: [19][2480/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5841 (2.5508)	Prec@1 34.500 (37.719)	Prec@5 70.000 (68.518)
Epoch: [19][2490/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.4505 (2.5508)	Prec@1 39.000 (37.721)	Prec@5 68.500 (68.519)
Epoch: [19][2500/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5946 (2.5505)	Prec@1 34.000 (37.727)	Prec@5 68.500 (68.522)
Epoch: [19][2510/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6564 (2.5504)	Prec@1 32.500 (37.726)	Prec@5 67.000 (68.523)
Epoch: [19][2520/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5013 (2.5503)	Prec@1 36.500 (37.724)	Prec@5 70.000 (68.521)
Epoch: [19][2530/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6595 (2.5507)	Prec@1 31.500 (37.717)	Prec@5 64.500 (68.512)
Epoch: [19][2540/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5951 (2.5508)	Prec@1 33.500 (37.712)	Prec@5 70.500 (68.513)
Epoch: [19][2550/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5737 (2.5508)	Prec@1 39.500 (37.712)	Prec@5 68.500 (68.514)
Epoch: [19][2560/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.4694 (2.5508)	Prec@1 41.000 (37.710)	Prec@5 70.500 (68.515)
Epoch: [19][2570/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.7859 (2.5507)	Prec@1 39.500 (37.720)	Prec@5 62.000 (68.518)
Epoch: [19][2580/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5836 (2.5509)	Prec@1 35.500 (37.718)	Prec@5 68.500 (68.515)
Epoch: [19][2590/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4489 (2.5510)	Prec@1 44.000 (37.721)	Prec@5 69.000 (68.516)
Epoch: [19][2600/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.4162 (2.5509)	Prec@1 39.000 (37.724)	Prec@5 73.000 (68.522)
Epoch: [19][2610/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5655 (2.5509)	Prec@1 39.500 (37.722)	Prec@5 66.500 (68.523)
Epoch: [19][2620/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.4620 (2.5511)	Prec@1 36.000 (37.719)	Prec@5 72.500 (68.521)
Epoch: [19][2630/9018]	Time 0.721 (0.615)	Data 0.001 (0.002)	Loss 2.9236 (2.5515)	Prec@1 34.500 (37.713)	Prec@5 61.500 (68.514)
Epoch: [19][2640/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4817 (2.5514)	Prec@1 39.000 (37.718)	Prec@5 68.000 (68.511)
Epoch: [19][2650/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5764 (2.5514)	Prec@1 35.500 (37.714)	Prec@5 70.000 (68.515)
Epoch: [19][2660/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7013 (2.5511)	Prec@1 37.000 (37.719)	Prec@5 64.000 (68.520)
Epoch: [19][2670/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.5659 (2.5512)	Prec@1 42.500 (37.721)	Prec@5 71.000 (68.523)
Epoch: [19][2680/9018]	Time 0.721 (0.615)	Data 0.001 (0.002)	Loss 2.6698 (2.5511)	Prec@1 35.500 (37.722)	Prec@5 64.000 (68.529)
Epoch: [19][2690/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4472 (2.5511)	Prec@1 41.500 (37.722)	Prec@5 67.500 (68.529)
Epoch: [19][2700/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.4518 (2.5511)	Prec@1 39.500 (37.722)	Prec@5 68.000 (68.524)
Epoch: [19][2710/9018]	Time 0.627 (0.614)	Data 0.001 (0.002)	Loss 2.6153 (2.5513)	Prec@1 36.000 (37.719)	Prec@5 67.000 (68.522)
Epoch: [19][2720/9018]	Time 0.601 (0.614)	Data 0.001 (0.002)	Loss 2.4154 (2.5512)	Prec@1 40.500 (37.718)	Prec@5 69.500 (68.519)
Epoch: [19][2730/9018]	Time 0.605 (0.614)	Data 0.001 (0.002)	Loss 2.3685 (2.5512)	Prec@1 40.500 (37.715)	Prec@5 72.500 (68.521)
Epoch: [19][2740/9018]	Time 0.594 (0.614)	Data 0.001 (0.002)	Loss 2.7075 (2.5512)	Prec@1 38.500 (37.718)	Prec@5 68.000 (68.519)
Epoch: [19][2750/9018]	Time 0.610 (0.614)	Data 0.001 (0.002)	Loss 2.4921 (2.5511)	Prec@1 38.500 (37.721)	Prec@5 70.500 (68.516)
Epoch: [19][2760/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.4734 (2.5514)	Prec@1 39.000 (37.715)	Prec@5 70.500 (68.512)
Epoch: [19][2770/9018]	Time 0.607 (0.614)	Data 0.001 (0.002)	Loss 2.5085 (2.5517)	Prec@1 39.500 (37.712)	Prec@5 69.000 (68.509)
Epoch: [19][2780/9018]	Time 0.606 (0.614)	Data 0.001 (0.002)	Loss 2.4693 (2.5515)	Prec@1 40.000 (37.714)	Prec@5 69.000 (68.509)
Epoch: [19][2790/9018]	Time 0.604 (0.614)	Data 0.001 (0.002)	Loss 2.6423 (2.5517)	Prec@1 34.000 (37.710)	Prec@5 70.500 (68.506)
Epoch: [19][2800/9018]	Time 0.594 (0.614)	Data 0.001 (0.002)	Loss 2.6344 (2.5515)	Prec@1 37.500 (37.716)	Prec@5 65.000 (68.508)
Epoch: [19][2810/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.3763 (2.5516)	Prec@1 41.000 (37.720)	Prec@5 68.000 (68.503)
Epoch: [19][2820/9018]	Time 0.600 (0.614)	Data 0.001 (0.002)	Loss 2.7047 (2.5517)	Prec@1 38.500 (37.719)	Prec@5 65.500 (68.502)
Epoch: [19][2830/9018]	Time 0.597 (0.614)	Data 0.001 (0.002)	Loss 2.4756 (2.5518)	Prec@1 42.500 (37.716)	Prec@5 65.000 (68.498)
Epoch: [19][2840/9018]	Time 0.603 (0.614)	Data 0.001 (0.002)	Loss 2.5555 (2.5518)	Prec@1 37.000 (37.716)	Prec@5 66.000 (68.500)
Epoch: [19][2850/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.5869 (2.5518)	Prec@1 38.000 (37.717)	Prec@5 66.000 (68.497)
Epoch: [19][2860/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.5081 (2.5520)	Prec@1 41.000 (37.712)	Prec@5 66.500 (68.491)
Epoch: [19][2870/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.5801 (2.5521)	Prec@1 41.500 (37.715)	Prec@5 67.000 (68.488)
Epoch: [19][2880/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.7241 (2.5521)	Prec@1 31.500 (37.715)	Prec@5 66.000 (68.489)
Epoch: [19][2890/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.5183 (2.5522)	Prec@1 38.000 (37.709)	Prec@5 70.500 (68.495)
Epoch: [19][2900/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.6497 (2.5521)	Prec@1 36.500 (37.710)	Prec@5 70.000 (68.497)
Epoch: [19][2910/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.7380 (2.5521)	Prec@1 33.000 (37.709)	Prec@5 64.500 (68.499)
Epoch: [19][2920/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.5407 (2.5521)	Prec@1 40.000 (37.703)	Prec@5 67.500 (68.494)
Epoch: [19][2930/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.6905 (2.5523)	Prec@1 36.000 (37.701)	Prec@5 63.000 (68.491)
Epoch: [19][2940/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.3907 (2.5522)	Prec@1 45.000 (37.706)	Prec@5 71.500 (68.494)
Epoch: [19][2950/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.2972 (2.5518)	Prec@1 45.000 (37.711)	Prec@5 73.000 (68.503)
Epoch: [19][2960/9018]	Time 0.733 (0.614)	Data 0.001 (0.001)	Loss 2.5337 (2.5518)	Prec@1 36.500 (37.712)	Prec@5 72.000 (68.506)
Epoch: [19][2970/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.6672 (2.5518)	Prec@1 32.000 (37.713)	Prec@5 64.000 (68.508)
Epoch: [19][2980/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.5277 (2.5517)	Prec@1 35.500 (37.714)	Prec@5 70.000 (68.511)
Epoch: [19][2990/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.5615 (2.5517)	Prec@1 36.500 (37.716)	Prec@5 69.000 (68.511)
Epoch: [19][3000/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.5551 (2.5519)	Prec@1 40.000 (37.715)	Prec@5 68.000 (68.506)
Epoch: [19][3010/9018]	Time 0.726 (0.614)	Data 0.001 (0.001)	Loss 2.6943 (2.5519)	Prec@1 38.500 (37.711)	Prec@5 65.000 (68.500)
Epoch: [19][3020/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.5731 (2.5519)	Prec@1 35.500 (37.710)	Prec@5 69.000 (68.500)
Epoch: [19][3030/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.9107 (2.5519)	Prec@1 34.500 (37.711)	Prec@5 58.500 (68.497)
Epoch: [19][3040/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.6767 (2.5522)	Prec@1 33.000 (37.704)	Prec@5 62.500 (68.487)
Epoch: [19][3050/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.3676 (2.5523)	Prec@1 40.500 (37.707)	Prec@5 70.000 (68.487)
Epoch: [19][3060/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.6406 (2.5525)	Prec@1 36.500 (37.701)	Prec@5 69.500 (68.484)
Epoch: [19][3070/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.5797 (2.5526)	Prec@1 41.500 (37.701)	Prec@5 69.500 (68.487)
Epoch: [19][3080/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.5616 (2.5528)	Prec@1 38.500 (37.696)	Prec@5 69.500 (68.482)
Epoch: [19][3090/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.5406 (2.5527)	Prec@1 38.500 (37.694)	Prec@5 66.500 (68.486)
Epoch: [19][3100/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.4875 (2.5527)	Prec@1 37.500 (37.690)	Prec@5 68.500 (68.485)
Epoch: [19][3110/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 2.5459 (2.5529)	Prec@1 40.500 (37.688)	Prec@5 71.500 (68.483)
Epoch: [19][3120/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.6131 (2.5529)	Prec@1 41.000 (37.692)	Prec@5 69.000 (68.482)
Epoch: [19][3130/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.7243 (2.5528)	Prec@1 32.500 (37.691)	Prec@5 64.500 (68.482)
Epoch: [19][3140/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.5462 (2.5530)	Prec@1 35.500 (37.687)	Prec@5 66.500 (68.481)
Epoch: [19][3150/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.3096 (2.5530)	Prec@1 41.000 (37.687)	Prec@5 73.000 (68.483)
Epoch: [19][3160/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.6933 (2.5529)	Prec@1 34.000 (37.690)	Prec@5 64.500 (68.482)
Epoch: [19][3170/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.5626 (2.5530)	Prec@1 37.000 (37.688)	Prec@5 70.000 (68.479)
Epoch: [19][3180/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.6446 (2.5530)	Prec@1 36.500 (37.688)	Prec@5 65.500 (68.480)
Epoch: [19][3190/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.7063 (2.5531)	Prec@1 35.500 (37.692)	Prec@5 69.500 (68.480)
Epoch: [19][3200/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.4347 (2.5530)	Prec@1 37.000 (37.690)	Prec@5 73.000 (68.479)
Epoch: [19][3210/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.6289 (2.5529)	Prec@1 34.000 (37.689)	Prec@5 67.000 (68.484)
Epoch: [19][3220/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.5834 (2.5529)	Prec@1 35.500 (37.690)	Prec@5 67.000 (68.483)
Epoch: [19][3230/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.6321 (2.5528)	Prec@1 36.500 (37.693)	Prec@5 66.000 (68.487)
Epoch: [19][3240/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.6569 (2.5527)	Prec@1 33.000 (37.689)	Prec@5 66.000 (68.491)
Epoch: [19][3250/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 2.3452 (2.5524)	Prec@1 42.000 (37.691)	Prec@5 70.500 (68.494)
Epoch: [19][3260/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.4185 (2.5524)	Prec@1 38.000 (37.693)	Prec@5 72.500 (68.495)
Epoch: [19][3270/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.9350 (2.5523)	Prec@1 33.000 (37.699)	Prec@5 61.000 (68.495)
Epoch: [19][3280/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.3746 (2.5525)	Prec@1 44.500 (37.696)	Prec@5 72.000 (68.492)
Epoch: [19][3290/9018]	Time 0.742 (0.614)	Data 0.001 (0.001)	Loss 2.5678 (2.5525)	Prec@1 36.500 (37.695)	Prec@5 67.500 (68.490)
Epoch: [19][3300/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.7183 (2.5525)	Prec@1 36.500 (37.693)	Prec@5 65.500 (68.492)
Epoch: [19][3310/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.5984 (2.5526)	Prec@1 36.500 (37.691)	Prec@5 68.500 (68.490)
Epoch: [19][3320/9018]	Time 0.591 (0.614)	Data 0.003 (0.001)	Loss 2.4283 (2.5527)	Prec@1 41.500 (37.688)	Prec@5 74.000 (68.488)
Epoch: [19][3330/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.5399 (2.5526)	Prec@1 34.500 (37.688)	Prec@5 65.000 (68.489)
Epoch: [19][3340/9018]	Time 0.727 (0.614)	Data 0.001 (0.001)	Loss 2.7439 (2.5527)	Prec@1 37.000 (37.688)	Prec@5 65.000 (68.485)
Epoch: [19][3350/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.5438 (2.5526)	Prec@1 41.000 (37.691)	Prec@5 70.500 (68.490)
Epoch: [19][3360/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.7608 (2.5528)	Prec@1 35.500 (37.688)	Prec@5 63.000 (68.486)
Epoch: [19][3370/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 2.5327 (2.5527)	Prec@1 40.500 (37.689)	Prec@5 70.000 (68.487)
Epoch: [19][3380/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.6829 (2.5528)	Prec@1 41.000 (37.689)	Prec@5 64.500 (68.486)
Epoch: [19][3390/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.6156 (2.5527)	Prec@1 32.500 (37.686)	Prec@5 65.500 (68.488)
Epoch: [19][3400/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.4380 (2.5526)	Prec@1 40.500 (37.684)	Prec@5 69.500 (68.493)
Epoch: [19][3410/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.4631 (2.5524)	Prec@1 37.500 (37.687)	Prec@5 68.500 (68.498)
Epoch: [19][3420/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.6182 (2.5524)	Prec@1 34.500 (37.689)	Prec@5 61.500 (68.495)
Epoch: [19][3430/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.6337 (2.5526)	Prec@1 36.000 (37.683)	Prec@5 68.500 (68.493)
Epoch: [19][3440/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 2.3184 (2.5526)	Prec@1 41.500 (37.682)	Prec@5 72.500 (68.492)
Epoch: [19][3450/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.5597 (2.5526)	Prec@1 36.500 (37.682)	Prec@5 71.500 (68.494)
Epoch: [19][3460/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.7164 (2.5528)	Prec@1 32.000 (37.681)	Prec@5 64.500 (68.493)
Epoch: [19][3470/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 2.8218 (2.5529)	Prec@1 34.500 (37.682)	Prec@5 65.000 (68.490)
Epoch: [19][3480/9018]	Time 0.590 (0.613)	Data 0.001 (0.001)	Loss 2.6107 (2.5531)	Prec@1 33.500 (37.677)	Prec@5 69.500 (68.486)
Epoch: [19][3490/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.5796 (2.5531)	Prec@1 37.000 (37.679)	Prec@5 70.000 (68.487)
Epoch: [19][3500/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.3632 (2.5529)	Prec@1 44.500 (37.682)	Prec@5 70.500 (68.488)
Epoch: [19][3510/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.4912 (2.5529)	Prec@1 40.500 (37.686)	Prec@5 72.000 (68.492)
Epoch: [19][3520/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.5432 (2.5529)	Prec@1 40.500 (37.688)	Prec@5 64.500 (68.488)
Epoch: [19][3530/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.3798 (2.5528)	Prec@1 43.000 (37.691)	Prec@5 71.000 (68.491)
Epoch: [19][3540/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.3812 (2.5530)	Prec@1 36.500 (37.688)	Prec@5 71.500 (68.486)
Epoch: [19][3550/9018]	Time 0.627 (0.613)	Data 0.001 (0.001)	Loss 2.4533 (2.5530)	Prec@1 38.000 (37.689)	Prec@5 71.000 (68.485)
Epoch: [19][3560/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.1831 (2.5528)	Prec@1 45.000 (37.690)	Prec@5 75.000 (68.490)
Epoch: [19][3570/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 2.5310 (2.5527)	Prec@1 35.500 (37.692)	Prec@5 64.500 (68.492)
Epoch: [19][3580/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.3833 (2.5527)	Prec@1 43.000 (37.693)	Prec@5 73.500 (68.496)
Epoch: [19][3590/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 2.8585 (2.5527)	Prec@1 33.500 (37.691)	Prec@5 63.000 (68.497)
Epoch: [19][3600/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.7724 (2.5527)	Prec@1 35.500 (37.693)	Prec@5 63.000 (68.498)
Epoch: [19][3610/9018]	Time 0.634 (0.613)	Data 0.001 (0.001)	Loss 2.6703 (2.5525)	Prec@1 37.000 (37.694)	Prec@5 66.000 (68.502)
Epoch: [19][3620/9018]	Time 0.719 (0.613)	Data 0.001 (0.001)	Loss 2.3892 (2.5524)	Prec@1 36.000 (37.698)	Prec@5 72.000 (68.509)
Epoch: [19][3630/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.6184 (2.5523)	Prec@1 36.000 (37.698)	Prec@5 70.500 (68.510)
Epoch: [19][3640/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.8493 (2.5525)	Prec@1 33.000 (37.693)	Prec@5 64.000 (68.505)
Epoch: [19][3650/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.4507 (2.5526)	Prec@1 33.500 (37.690)	Prec@5 73.000 (68.502)
Epoch: [19][3660/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 2.4476 (2.5525)	Prec@1 39.000 (37.694)	Prec@5 68.000 (68.500)
Epoch: [19][3670/9018]	Time 0.728 (0.613)	Data 0.001 (0.001)	Loss 2.5156 (2.5524)	Prec@1 39.000 (37.696)	Prec@5 72.000 (68.503)
Epoch: [19][3680/9018]	Time 0.589 (0.613)	Data 0.001 (0.001)	Loss 2.7067 (2.5525)	Prec@1 35.500 (37.696)	Prec@5 66.000 (68.498)
Epoch: [19][3690/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.5289 (2.5524)	Prec@1 43.500 (37.698)	Prec@5 69.500 (68.502)
Epoch: [19][3700/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.7024 (2.5523)	Prec@1 34.500 (37.698)	Prec@5 67.500 (68.505)
Epoch: [19][3710/9018]	Time 0.632 (0.613)	Data 0.001 (0.001)	Loss 2.5647 (2.5523)	Prec@1 37.000 (37.697)	Prec@5 67.000 (68.505)
Epoch: [19][3720/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.7017 (2.5522)	Prec@1 34.500 (37.702)	Prec@5 66.000 (68.506)
Epoch: [19][3730/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.7036 (2.5522)	Prec@1 30.000 (37.701)	Prec@5 66.000 (68.505)
Epoch: [19][3740/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.4250 (2.5521)	Prec@1 36.500 (37.702)	Prec@5 70.500 (68.507)
Epoch: [19][3750/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.4797 (2.5524)	Prec@1 43.500 (37.698)	Prec@5 70.000 (68.501)
Epoch: [19][3760/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.6247 (2.5525)	Prec@1 33.500 (37.697)	Prec@5 67.500 (68.501)
Epoch: [19][3770/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6275 (2.5524)	Prec@1 39.000 (37.701)	Prec@5 64.000 (68.503)
Epoch: [19][3780/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.4499 (2.5523)	Prec@1 41.500 (37.706)	Prec@5 66.500 (68.504)
Epoch: [19][3790/9018]	Time 0.616 (0.613)	Data 0.001 (0.001)	Loss 2.6314 (2.5522)	Prec@1 36.000 (37.708)	Prec@5 67.000 (68.507)
Epoch: [19][3800/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.5146 (2.5522)	Prec@1 36.000 (37.705)	Prec@5 67.500 (68.508)
Epoch: [19][3810/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.5258 (2.5523)	Prec@1 38.500 (37.705)	Prec@5 67.500 (68.506)
Epoch: [19][3820/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.7219 (2.5524)	Prec@1 34.500 (37.704)	Prec@5 61.500 (68.503)
Epoch: [19][3830/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.4496 (2.5526)	Prec@1 37.000 (37.699)	Prec@5 69.000 (68.501)
Epoch: [19][3840/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.3169 (2.5527)	Prec@1 43.500 (37.696)	Prec@5 72.500 (68.498)
Epoch: [19][3850/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.2289 (2.5526)	Prec@1 43.000 (37.697)	Prec@5 78.500 (68.501)
Epoch: [19][3860/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.4233 (2.5525)	Prec@1 38.500 (37.700)	Prec@5 73.000 (68.502)
Epoch: [19][3870/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.6809 (2.5526)	Prec@1 36.500 (37.699)	Prec@5 69.500 (68.499)
Epoch: [19][3880/9018]	Time 0.631 (0.613)	Data 0.001 (0.001)	Loss 2.6996 (2.5526)	Prec@1 34.000 (37.698)	Prec@5 68.500 (68.500)
Epoch: [19][3890/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.4997 (2.5525)	Prec@1 39.000 (37.700)	Prec@5 68.000 (68.500)
Epoch: [19][3900/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.5462 (2.5523)	Prec@1 37.500 (37.706)	Prec@5 65.500 (68.502)
Epoch: [19][3910/9018]	Time 0.620 (0.613)	Data 0.001 (0.001)	Loss 2.5931 (2.5524)	Prec@1 42.000 (37.708)	Prec@5 68.000 (68.500)
Epoch: [19][3920/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.6012 (2.5524)	Prec@1 33.000 (37.709)	Prec@5 64.000 (68.501)
Epoch: [19][3930/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.7848 (2.5526)	Prec@1 36.000 (37.708)	Prec@5 62.500 (68.496)
Epoch: [19][3940/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.5395 (2.5526)	Prec@1 37.000 (37.705)	Prec@5 70.500 (68.496)
Epoch: [19][3950/9018]	Time 0.758 (0.613)	Data 0.001 (0.001)	Loss 2.4881 (2.5526)	Prec@1 38.500 (37.703)	Prec@5 72.000 (68.496)
Epoch: [19][3960/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.7744 (2.5527)	Prec@1 34.500 (37.702)	Prec@5 62.500 (68.498)
Epoch: [19][3970/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.4285 (2.5524)	Prec@1 41.500 (37.704)	Prec@5 72.000 (68.502)
Epoch: [19][3980/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.4886 (2.5524)	Prec@1 42.000 (37.708)	Prec@5 68.500 (68.503)
Epoch: [19][3990/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 2.7869 (2.5525)	Prec@1 36.000 (37.705)	Prec@5 62.000 (68.499)
Epoch: [19][4000/9018]	Time 0.730 (0.613)	Data 0.001 (0.001)	Loss 2.4950 (2.5525)	Prec@1 39.500 (37.705)	Prec@5 68.500 (68.499)
Epoch: [19][4010/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.4284 (2.5523)	Prec@1 38.000 (37.706)	Prec@5 70.500 (68.501)
Epoch: [19][4020/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.4057 (2.5523)	Prec@1 42.000 (37.705)	Prec@5 75.000 (68.507)
Epoch: [19][4030/9018]	Time 0.625 (0.613)	Data 0.001 (0.001)	Loss 2.6859 (2.5521)	Prec@1 36.500 (37.710)	Prec@5 65.500 (68.508)
Epoch: [19][4040/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.5161 (2.5521)	Prec@1 34.500 (37.710)	Prec@5 67.500 (68.508)
Epoch: [19][4050/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.5288 (2.5520)	Prec@1 39.500 (37.714)	Prec@5 66.000 (68.507)
Epoch: [19][4060/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.8630 (2.5521)	Prec@1 33.500 (37.712)	Prec@5 67.000 (68.507)
Epoch: [19][4070/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.5469 (2.5521)	Prec@1 40.500 (37.714)	Prec@5 69.500 (68.508)
Epoch: [19][4080/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.2356 (2.5518)	Prec@1 43.000 (37.715)	Prec@5 75.500 (68.512)
Epoch: [19][4090/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.7254 (2.5519)	Prec@1 37.000 (37.714)	Prec@5 66.000 (68.513)
Epoch: [19][4100/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6813 (2.5520)	Prec@1 38.000 (37.712)	Prec@5 67.500 (68.512)
Epoch: [19][4110/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.6028 (2.5522)	Prec@1 31.500 (37.704)	Prec@5 69.000 (68.507)
Epoch: [19][4120/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.4699 (2.5523)	Prec@1 38.000 (37.703)	Prec@5 72.500 (68.508)
Epoch: [19][4130/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 2.7201 (2.5522)	Prec@1 36.000 (37.706)	Prec@5 67.000 (68.508)
Epoch: [19][4140/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.6204 (2.5520)	Prec@1 36.500 (37.707)	Prec@5 67.500 (68.510)
Epoch: [19][4150/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.8183 (2.5523)	Prec@1 32.500 (37.701)	Prec@5 64.000 (68.507)
Epoch: [19][4160/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.8736 (2.5523)	Prec@1 28.500 (37.697)	Prec@5 62.500 (68.506)
Epoch: [19][4170/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.6716 (2.5524)	Prec@1 35.000 (37.696)	Prec@5 66.500 (68.505)
Epoch: [19][4180/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.7057 (2.5524)	Prec@1 37.000 (37.696)	Prec@5 67.000 (68.508)
Epoch: [19][4190/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.4591 (2.5522)	Prec@1 39.500 (37.700)	Prec@5 72.500 (68.512)
Epoch: [19][4200/9018]	Time 0.614 (0.613)	Data 0.001 (0.001)	Loss 2.6382 (2.5522)	Prec@1 34.500 (37.695)	Prec@5 69.500 (68.514)
Epoch: [19][4210/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.6308 (2.5523)	Prec@1 37.500 (37.691)	Prec@5 65.000 (68.513)
Epoch: [19][4220/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.7240 (2.5524)	Prec@1 36.500 (37.687)	Prec@5 67.000 (68.508)
Epoch: [19][4230/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.6494 (2.5525)	Prec@1 35.500 (37.687)	Prec@5 67.000 (68.506)
Epoch: [19][4240/9018]	Time 0.620 (0.613)	Data 0.001 (0.001)	Loss 2.7905 (2.5525)	Prec@1 34.000 (37.687)	Prec@5 61.500 (68.505)
Epoch: [19][4250/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.6008 (2.5525)	Prec@1 37.000 (37.687)	Prec@5 68.000 (68.506)
Epoch: [19][4260/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.5556 (2.5526)	Prec@1 42.000 (37.686)	Prec@5 72.500 (68.503)
Epoch: [19][4270/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.4842 (2.5526)	Prec@1 41.000 (37.687)	Prec@5 68.500 (68.505)
Epoch: [19][4280/9018]	Time 0.740 (0.613)	Data 0.001 (0.001)	Loss 2.4931 (2.5526)	Prec@1 36.000 (37.687)	Prec@5 69.000 (68.501)
Epoch: [19][4290/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.4509 (2.5525)	Prec@1 43.000 (37.689)	Prec@5 69.500 (68.504)
Epoch: [19][4300/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.6983 (2.5527)	Prec@1 35.000 (37.687)	Prec@5 68.000 (68.502)
Epoch: [19][4310/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.6534 (2.5527)	Prec@1 36.500 (37.687)	Prec@5 68.000 (68.503)
Epoch: [19][4320/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.6499 (2.5526)	Prec@1 35.000 (37.687)	Prec@5 65.000 (68.506)
Epoch: [19][4330/9018]	Time 0.739 (0.613)	Data 0.001 (0.001)	Loss 2.6524 (2.5526)	Prec@1 38.500 (37.687)	Prec@5 67.500 (68.506)
Epoch: [19][4340/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.4380 (2.5526)	Prec@1 40.000 (37.688)	Prec@5 69.500 (68.506)
Epoch: [19][4350/9018]	Time 0.601 (0.613)	Data 0.002 (0.001)	Loss 2.6543 (2.5527)	Prec@1 36.500 (37.687)	Prec@5 64.000 (68.502)
Epoch: [19][4360/9018]	Time 0.588 (0.613)	Data 0.001 (0.001)	Loss 2.6578 (2.5526)	Prec@1 33.000 (37.689)	Prec@5 62.500 (68.502)
Epoch: [19][4370/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.4988 (2.5526)	Prec@1 37.500 (37.689)	Prec@5 68.000 (68.502)
Epoch: [19][4380/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.6197 (2.5525)	Prec@1 36.000 (37.691)	Prec@5 65.500 (68.503)
Epoch: [19][4390/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.3219 (2.5525)	Prec@1 38.000 (37.691)	Prec@5 73.000 (68.503)
Epoch: [19][4400/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.6064 (2.5525)	Prec@1 37.000 (37.691)	Prec@5 68.000 (68.504)
Epoch: [19][4410/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.4178 (2.5523)	Prec@1 38.000 (37.696)	Prec@5 66.000 (68.505)
Epoch: [19][4420/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.2346 (2.5523)	Prec@1 41.000 (37.695)	Prec@5 78.000 (68.506)
Epoch: [19][4430/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.2846 (2.5523)	Prec@1 44.000 (37.696)	Prec@5 78.500 (68.511)
Epoch: [19][4440/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.6763 (2.5524)	Prec@1 32.000 (37.694)	Prec@5 64.500 (68.509)
Epoch: [19][4450/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.7528 (2.5524)	Prec@1 32.500 (37.693)	Prec@5 62.500 (68.511)
Epoch: [19][4460/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.7318 (2.5524)	Prec@1 33.500 (37.694)	Prec@5 66.000 (68.510)
Epoch: [19][4470/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.5357 (2.5524)	Prec@1 35.500 (37.696)	Prec@5 67.500 (68.509)
Epoch: [19][4480/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.5787 (2.5524)	Prec@1 37.500 (37.699)	Prec@5 68.000 (68.509)
Epoch: [19][4490/9018]	Time 0.630 (0.613)	Data 0.001 (0.001)	Loss 2.4620 (2.5525)	Prec@1 37.500 (37.699)	Prec@5 70.500 (68.509)
Epoch: [19][4500/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 2.8505 (2.5526)	Prec@1 32.000 (37.698)	Prec@5 61.500 (68.506)
Epoch: [19][4510/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.7877 (2.5527)	Prec@1 32.500 (37.696)	Prec@5 63.500 (68.503)
Epoch: [19][4520/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.6059 (2.5526)	Prec@1 36.500 (37.698)	Prec@5 67.500 (68.506)
Epoch: [19][4530/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 2.4732 (2.5525)	Prec@1 41.500 (37.702)	Prec@5 66.000 (68.507)
Epoch: [19][4540/9018]	Time 0.599 (0.613)	Data 0.002 (0.001)	Loss 2.5139 (2.5524)	Prec@1 37.500 (37.704)	Prec@5 67.500 (68.508)
Epoch: [19][4550/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.5342 (2.5523)	Prec@1 34.000 (37.705)	Prec@5 67.000 (68.510)
Epoch: [19][4560/9018]	Time 0.755 (0.613)	Data 0.001 (0.001)	Loss 2.4617 (2.5524)	Prec@1 38.000 (37.701)	Prec@5 75.000 (68.510)
Epoch: [19][4570/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.4728 (2.5523)	Prec@1 38.500 (37.700)	Prec@5 69.500 (68.513)
Epoch: [19][4580/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.5455 (2.5523)	Prec@1 38.000 (37.700)	Prec@5 72.000 (68.515)
Epoch: [19][4590/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.6248 (2.5524)	Prec@1 33.000 (37.697)	Prec@5 66.500 (68.513)
Epoch: [19][4600/9018]	Time 0.589 (0.613)	Data 0.001 (0.001)	Loss 2.4300 (2.5523)	Prec@1 38.500 (37.696)	Prec@5 66.500 (68.514)
Epoch: [19][4610/9018]	Time 0.763 (0.613)	Data 0.001 (0.001)	Loss 2.6236 (2.5522)	Prec@1 34.000 (37.698)	Prec@5 72.000 (68.518)
Epoch: [19][4620/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.4361 (2.5521)	Prec@1 40.000 (37.705)	Prec@5 73.500 (68.519)
Epoch: [19][4630/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.3958 (2.5522)	Prec@1 43.500 (37.705)	Prec@5 74.000 (68.516)
Epoch: [19][4640/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.5299 (2.5524)	Prec@1 37.500 (37.700)	Prec@5 67.500 (68.509)
Epoch: [19][4650/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.5063 (2.5523)	Prec@1 36.500 (37.701)	Prec@5 66.500 (68.510)
Epoch: [19][4660/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.4953 (2.5522)	Prec@1 35.500 (37.702)	Prec@5 66.000 (68.508)
Epoch: [19][4670/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 2.4675 (2.5522)	Prec@1 41.500 (37.703)	Prec@5 71.500 (68.510)
Epoch: [19][4680/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.7761 (2.5522)	Prec@1 32.000 (37.700)	Prec@5 68.000 (68.511)
Epoch: [19][4690/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.5190 (2.5522)	Prec@1 41.000 (37.700)	Prec@5 72.000 (68.511)
Epoch: [19][4700/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.3017 (2.5523)	Prec@1 42.500 (37.698)	Prec@5 72.000 (68.506)
Epoch: [19][4710/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.6257 (2.5523)	Prec@1 36.500 (37.697)	Prec@5 62.000 (68.505)
Epoch: [19][4720/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.5256 (2.5523)	Prec@1 33.000 (37.698)	Prec@5 71.500 (68.507)
Epoch: [19][4730/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.3182 (2.5522)	Prec@1 43.000 (37.698)	Prec@5 72.000 (68.508)
Epoch: [19][4740/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.5483 (2.5522)	Prec@1 38.000 (37.702)	Prec@5 70.000 (68.509)
Epoch: [19][4750/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.4449 (2.5524)	Prec@1 37.000 (37.700)	Prec@5 72.000 (68.507)
Epoch: [19][4760/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.5963 (2.5524)	Prec@1 38.500 (37.698)	Prec@5 64.000 (68.505)
Epoch: [19][4770/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 2.5347 (2.5526)	Prec@1 40.000 (37.697)	Prec@5 66.500 (68.501)
Epoch: [19][4780/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.6567 (2.5528)	Prec@1 34.500 (37.695)	Prec@5 64.000 (68.497)
Epoch: [19][4790/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.7149 (2.5528)	Prec@1 33.000 (37.695)	Prec@5 65.000 (68.498)
Epoch: [19][4800/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.3474 (2.5529)	Prec@1 36.000 (37.693)	Prec@5 73.500 (68.494)
Epoch: [19][4810/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 2.5433 (2.5529)	Prec@1 35.500 (37.692)	Prec@5 66.500 (68.495)
Epoch: [19][4820/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.5353 (2.5528)	Prec@1 37.000 (37.690)	Prec@5 69.000 (68.495)
Epoch: [19][4830/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.4934 (2.5528)	Prec@1 43.500 (37.688)	Prec@5 69.000 (68.497)
Epoch: [19][4840/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6321 (2.5528)	Prec@1 34.000 (37.689)	Prec@5 66.500 (68.497)
Epoch: [19][4850/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.4528 (2.5525)	Prec@1 38.000 (37.694)	Prec@5 71.000 (68.500)
Epoch: [19][4860/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.4830 (2.5525)	Prec@1 40.500 (37.696)	Prec@5 66.500 (68.500)
Epoch: [19][4870/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.6045 (2.5524)	Prec@1 38.000 (37.696)	Prec@5 67.000 (68.502)
Epoch: [19][4880/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.6813 (2.5523)	Prec@1 38.000 (37.700)	Prec@5 65.500 (68.504)
Epoch: [19][4890/9018]	Time 0.742 (0.613)	Data 0.001 (0.001)	Loss 2.7642 (2.5523)	Prec@1 31.500 (37.698)	Prec@5 64.000 (68.502)
Epoch: [19][4900/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 2.2756 (2.5522)	Prec@1 43.500 (37.699)	Prec@5 72.500 (68.506)
Epoch: [19][4910/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.6924 (2.5523)	Prec@1 31.500 (37.696)	Prec@5 68.500 (68.506)
Epoch: [19][4920/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.4792 (2.5523)	Prec@1 38.000 (37.695)	Prec@5 68.000 (68.503)
Epoch: [19][4930/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.5482 (2.5524)	Prec@1 34.000 (37.698)	Prec@5 66.500 (68.503)
Epoch: [19][4940/9018]	Time 0.730 (0.613)	Data 0.001 (0.001)	Loss 2.5497 (2.5524)	Prec@1 34.000 (37.693)	Prec@5 70.000 (68.506)
Epoch: [19][4950/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.5675 (2.5525)	Prec@1 39.000 (37.691)	Prec@5 68.000 (68.502)
Epoch: [19][4960/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.3633 (2.5526)	Prec@1 38.500 (37.692)	Prec@5 70.500 (68.499)
Epoch: [19][4970/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.2214 (2.5525)	Prec@1 48.000 (37.697)	Prec@5 72.500 (68.500)
Epoch: [19][4980/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 2.1958 (2.5523)	Prec@1 44.500 (37.700)	Prec@5 76.000 (68.503)
Epoch: [19][4990/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.3876 (2.5523)	Prec@1 39.500 (37.697)	Prec@5 71.000 (68.505)
Epoch: [19][5000/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.5936 (2.5525)	Prec@1 34.500 (37.693)	Prec@5 72.500 (68.502)
Epoch: [19][5010/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.3881 (2.5525)	Prec@1 42.500 (37.693)	Prec@5 69.500 (68.501)
Epoch: [19][5020/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.6732 (2.5526)	Prec@1 35.500 (37.690)	Prec@5 68.000 (68.500)
Epoch: [19][5030/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.6688 (2.5528)	Prec@1 40.500 (37.688)	Prec@5 66.000 (68.499)
Epoch: [19][5040/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 2.3743 (2.5528)	Prec@1 41.000 (37.689)	Prec@5 73.000 (68.500)
Epoch: [19][5050/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.7586 (2.5529)	Prec@1 33.500 (37.688)	Prec@5 63.500 (68.497)
Epoch: [19][5060/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.5500 (2.5530)	Prec@1 36.000 (37.688)	Prec@5 65.500 (68.494)
Epoch: [19][5070/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.4269 (2.5528)	Prec@1 39.000 (37.692)	Prec@5 72.500 (68.498)
Epoch: [19][5080/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.3450 (2.5527)	Prec@1 41.000 (37.691)	Prec@5 69.500 (68.498)
Epoch: [19][5090/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.5683 (2.5527)	Prec@1 37.000 (37.691)	Prec@5 64.000 (68.498)
Epoch: [19][5100/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 2.6660 (2.5527)	Prec@1 41.500 (37.691)	Prec@5 66.500 (68.498)
Epoch: [19][5110/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.4566 (2.5528)	Prec@1 40.000 (37.688)	Prec@5 69.000 (68.495)
Epoch: [19][5120/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.5964 (2.5528)	Prec@1 40.000 (37.689)	Prec@5 65.500 (68.493)
Epoch: [19][5130/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.7336 (2.5530)	Prec@1 38.000 (37.687)	Prec@5 69.000 (68.492)
Epoch: [19][5140/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.5121 (2.5530)	Prec@1 41.000 (37.686)	Prec@5 69.000 (68.490)
Epoch: [19][5150/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.6952 (2.5531)	Prec@1 35.000 (37.683)	Prec@5 68.500 (68.489)
Epoch: [19][5160/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.3804 (2.5530)	Prec@1 44.000 (37.684)	Prec@5 72.000 (68.490)
Epoch: [19][5170/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.6974 (2.5530)	Prec@1 37.000 (37.684)	Prec@5 65.000 (68.490)
Epoch: [19][5180/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.7301 (2.5530)	Prec@1 33.000 (37.687)	Prec@5 65.500 (68.492)
Epoch: [19][5190/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.4062 (2.5531)	Prec@1 37.500 (37.682)	Prec@5 74.500 (68.490)
Epoch: [19][5200/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6925 (2.5533)	Prec@1 38.000 (37.681)	Prec@5 67.000 (68.488)
Epoch: [19][5210/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.4730 (2.5533)	Prec@1 39.000 (37.682)	Prec@5 70.000 (68.488)
Epoch: [19][5220/9018]	Time 0.733 (0.613)	Data 0.001 (0.001)	Loss 2.6130 (2.5533)	Prec@1 32.000 (37.681)	Prec@5 66.000 (68.487)
Epoch: [19][5230/9018]	Time 0.629 (0.613)	Data 0.001 (0.001)	Loss 2.3523 (2.5533)	Prec@1 42.000 (37.680)	Prec@5 73.000 (68.487)
Epoch: [19][5240/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6515 (2.5532)	Prec@1 32.000 (37.683)	Prec@5 66.000 (68.489)
Epoch: [19][5250/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.4749 (2.5533)	Prec@1 44.500 (37.683)	Prec@5 66.500 (68.487)
Epoch: [19][5260/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.5601 (2.5533)	Prec@1 34.000 (37.682)	Prec@5 67.500 (68.485)
Epoch: [19][5270/9018]	Time 0.729 (0.613)	Data 0.001 (0.001)	Loss 2.5154 (2.5534)	Prec@1 37.500 (37.682)	Prec@5 73.000 (68.484)
Epoch: [19][5280/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 2.5275 (2.5533)	Prec@1 39.500 (37.683)	Prec@5 71.000 (68.485)
Epoch: [19][5290/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.4623 (2.5533)	Prec@1 40.000 (37.686)	Prec@5 69.000 (68.487)
Epoch: [19][5300/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.5832 (2.5534)	Prec@1 35.500 (37.685)	Prec@5 67.000 (68.483)
Epoch: [19][5310/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.4952 (2.5535)	Prec@1 39.500 (37.686)	Prec@5 68.500 (68.484)
Epoch: [19][5320/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.5692 (2.5535)	Prec@1 37.000 (37.687)	Prec@5 71.500 (68.484)
Epoch: [19][5330/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.5695 (2.5536)	Prec@1 33.500 (37.685)	Prec@5 67.500 (68.480)
Epoch: [19][5340/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.5851 (2.5537)	Prec@1 37.500 (37.681)	Prec@5 68.500 (68.477)
Epoch: [19][5350/9018]	Time 0.625 (0.613)	Data 0.001 (0.001)	Loss 2.4623 (2.5538)	Prec@1 39.500 (37.680)	Prec@5 74.500 (68.478)
Epoch: [19][5360/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.6101 (2.5538)	Prec@1 32.500 (37.678)	Prec@5 66.000 (68.475)
Epoch: [19][5370/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.3800 (2.5538)	Prec@1 42.500 (37.681)	Prec@5 73.500 (68.476)
Epoch: [19][5380/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 2.2917 (2.5538)	Prec@1 41.000 (37.682)	Prec@5 76.500 (68.476)
Epoch: [19][5390/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.3631 (2.5537)	Prec@1 41.000 (37.682)	Prec@5 76.000 (68.477)
Epoch: [19][5400/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.2407 (2.5537)	Prec@1 41.500 (37.685)	Prec@5 77.000 (68.478)
Epoch: [19][5410/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.6077 (2.5537)	Prec@1 36.000 (37.683)	Prec@5 68.500 (68.479)
Epoch: [19][5420/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.4910 (2.5536)	Prec@1 41.500 (37.683)	Prec@5 71.500 (68.481)
Epoch: [19][5430/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.6086 (2.5538)	Prec@1 34.000 (37.682)	Prec@5 64.500 (68.479)
Epoch: [19][5440/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6421 (2.5536)	Prec@1 34.500 (37.682)	Prec@5 68.500 (68.482)
Epoch: [19][5450/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.3556 (2.5535)	Prec@1 42.000 (37.684)	Prec@5 71.500 (68.483)
Epoch: [19][5460/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.6327 (2.5535)	Prec@1 36.000 (37.683)	Prec@5 63.000 (68.481)
Epoch: [19][5470/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.6180 (2.5537)	Prec@1 36.000 (37.680)	Prec@5 66.000 (68.477)
Epoch: [19][5480/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5159 (2.5537)	Prec@1 37.500 (37.679)	Prec@5 67.000 (68.475)
Epoch: [19][5490/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.3620 (2.5536)	Prec@1 40.500 (37.678)	Prec@5 71.500 (68.476)
Epoch: [19][5500/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.6630 (2.5535)	Prec@1 40.000 (37.680)	Prec@5 66.500 (68.480)
Epoch: [19][5510/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4683 (2.5535)	Prec@1 36.000 (37.679)	Prec@5 73.000 (68.484)
Epoch: [19][5520/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.4428 (2.5534)	Prec@1 37.000 (37.679)	Prec@5 73.500 (68.486)
Epoch: [19][5530/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.4687 (2.5534)	Prec@1 41.500 (37.680)	Prec@5 65.500 (68.484)
Epoch: [19][5540/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.4950 (2.5532)	Prec@1 38.500 (37.681)	Prec@5 69.000 (68.486)
Epoch: [19][5550/9018]	Time 0.722 (0.612)	Data 0.001 (0.001)	Loss 2.7693 (2.5534)	Prec@1 30.000 (37.677)	Prec@5 64.500 (68.484)
Epoch: [19][5560/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5034 (2.5532)	Prec@1 35.500 (37.681)	Prec@5 69.000 (68.486)
Epoch: [19][5570/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5420 (2.5532)	Prec@1 40.000 (37.682)	Prec@5 68.000 (68.486)
Epoch: [19][5580/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.3636 (2.5532)	Prec@1 41.500 (37.684)	Prec@5 72.500 (68.486)
Epoch: [19][5590/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.7997 (2.5532)	Prec@1 33.000 (37.682)	Prec@5 65.500 (68.486)
Epoch: [19][5600/9018]	Time 0.722 (0.612)	Data 0.001 (0.001)	Loss 2.6829 (2.5532)	Prec@1 34.000 (37.683)	Prec@5 66.500 (68.485)
Epoch: [19][5610/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6696 (2.5532)	Prec@1 37.000 (37.682)	Prec@5 63.000 (68.484)
Epoch: [19][5620/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.6895 (2.5532)	Prec@1 31.500 (37.682)	Prec@5 64.000 (68.485)
Epoch: [19][5630/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 2.5741 (2.5532)	Prec@1 34.500 (37.681)	Prec@5 65.000 (68.484)
Epoch: [19][5640/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4783 (2.5531)	Prec@1 38.000 (37.681)	Prec@5 69.500 (68.485)
Epoch: [19][5650/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7702 (2.5532)	Prec@1 30.500 (37.679)	Prec@5 64.000 (68.483)
Epoch: [19][5660/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6024 (2.5532)	Prec@1 36.500 (37.680)	Prec@5 67.500 (68.484)
Epoch: [19][5670/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.7521 (2.5531)	Prec@1 37.000 (37.682)	Prec@5 69.500 (68.486)
Epoch: [19][5680/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.6944 (2.5531)	Prec@1 34.000 (37.680)	Prec@5 68.500 (68.487)
Epoch: [19][5690/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4891 (2.5529)	Prec@1 37.500 (37.682)	Prec@5 71.000 (68.490)
Epoch: [19][5700/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.5808 (2.5529)	Prec@1 36.000 (37.681)	Prec@5 71.500 (68.489)
Epoch: [19][5710/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 2.3878 (2.5529)	Prec@1 45.000 (37.683)	Prec@5 68.500 (68.491)
Epoch: [19][5720/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6751 (2.5528)	Prec@1 39.000 (37.686)	Prec@5 66.500 (68.490)
Epoch: [19][5730/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.6428 (2.5529)	Prec@1 38.000 (37.686)	Prec@5 67.500 (68.490)
Epoch: [19][5740/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 2.5272 (2.5531)	Prec@1 32.500 (37.680)	Prec@5 67.500 (68.483)
Epoch: [19][5750/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.3848 (2.5530)	Prec@1 45.000 (37.682)	Prec@5 70.000 (68.486)
Epoch: [19][5760/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.5120 (2.5531)	Prec@1 36.500 (37.681)	Prec@5 70.500 (68.486)
Epoch: [19][5770/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.4269 (2.5531)	Prec@1 38.000 (37.679)	Prec@5 69.500 (68.486)
Epoch: [19][5780/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.5189 (2.5531)	Prec@1 42.000 (37.679)	Prec@5 68.000 (68.486)
Epoch: [19][5790/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 2.3504 (2.5530)	Prec@1 41.000 (37.679)	Prec@5 72.500 (68.489)
Epoch: [19][5800/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5119 (2.5529)	Prec@1 36.000 (37.679)	Prec@5 73.000 (68.491)
Epoch: [19][5810/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.3982 (2.5529)	Prec@1 39.000 (37.682)	Prec@5 67.500 (68.491)
Epoch: [19][5820/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6921 (2.5529)	Prec@1 38.500 (37.682)	Prec@5 65.500 (68.491)
Epoch: [19][5830/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.4676 (2.5528)	Prec@1 39.000 (37.684)	Prec@5 74.000 (68.493)
Epoch: [19][5840/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6812 (2.5528)	Prec@1 38.500 (37.682)	Prec@5 62.000 (68.492)
Epoch: [19][5850/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.4971 (2.5529)	Prec@1 39.000 (37.679)	Prec@5 72.500 (68.490)
Epoch: [19][5860/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 2.6635 (2.5529)	Prec@1 34.000 (37.676)	Prec@5 68.000 (68.492)
Epoch: [19][5870/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5428 (2.5529)	Prec@1 37.500 (37.677)	Prec@5 68.500 (68.493)
Epoch: [19][5880/9018]	Time 0.726 (0.612)	Data 0.001 (0.001)	Loss 2.4669 (2.5529)	Prec@1 41.000 (37.678)	Prec@5 73.000 (68.493)
Epoch: [19][5890/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 2.4938 (2.5529)	Prec@1 42.500 (37.678)	Prec@5 71.000 (68.492)
Epoch: [19][5900/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.6199 (2.5529)	Prec@1 36.000 (37.679)	Prec@5 66.000 (68.493)
Epoch: [19][5910/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7097 (2.5530)	Prec@1 36.500 (37.677)	Prec@5 65.500 (68.491)
Epoch: [19][5920/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7675 (2.5530)	Prec@1 33.000 (37.677)	Prec@5 64.500 (68.490)
Epoch: [19][5930/9018]	Time 0.730 (0.612)	Data 0.001 (0.001)	Loss 2.3998 (2.5530)	Prec@1 43.500 (37.679)	Prec@5 66.500 (68.490)
Epoch: [19][5940/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.4575 (2.5530)	Prec@1 37.500 (37.679)	Prec@5 67.000 (68.489)
Epoch: [19][5950/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.7006 (2.5532)	Prec@1 31.500 (37.679)	Prec@5 64.000 (68.487)
Epoch: [19][5960/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 2.7654 (2.5532)	Prec@1 34.000 (37.678)	Prec@5 63.000 (68.485)
Epoch: [19][5970/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5891 (2.5531)	Prec@1 37.000 (37.680)	Prec@5 66.000 (68.485)
Epoch: [19][5980/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6040 (2.5531)	Prec@1 36.000 (37.682)	Prec@5 68.500 (68.488)
Epoch: [19][5990/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.4481 (2.5531)	Prec@1 42.000 (37.682)	Prec@5 68.000 (68.488)
Epoch: [19][6000/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5081 (2.5530)	Prec@1 39.500 (37.683)	Prec@5 67.500 (68.486)
Epoch: [19][6010/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.4893 (2.5530)	Prec@1 36.500 (37.682)	Prec@5 72.500 (68.488)
Epoch: [19][6020/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.7222 (2.5530)	Prec@1 32.000 (37.684)	Prec@5 68.500 (68.489)
Epoch: [19][6030/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.3070 (2.5529)	Prec@1 41.500 (37.687)	Prec@5 74.500 (68.494)
Epoch: [19][6040/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 2.5067 (2.5528)	Prec@1 38.500 (37.689)	Prec@5 72.500 (68.495)
Epoch: [19][6050/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7496 (2.5529)	Prec@1 36.000 (37.688)	Prec@5 68.000 (68.495)
Epoch: [19][6060/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7749 (2.5530)	Prec@1 34.000 (37.687)	Prec@5 64.000 (68.494)
Epoch: [19][6070/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7060 (2.5530)	Prec@1 35.500 (37.686)	Prec@5 67.500 (68.493)
Epoch: [19][6080/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.3382 (2.5529)	Prec@1 38.500 (37.688)	Prec@5 72.500 (68.494)
Epoch: [19][6090/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.3569 (2.5528)	Prec@1 40.500 (37.688)	Prec@5 73.500 (68.495)
Epoch: [19][6100/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.5034 (2.5528)	Prec@1 38.000 (37.688)	Prec@5 69.500 (68.497)
Epoch: [19][6110/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.3409 (2.5529)	Prec@1 44.500 (37.690)	Prec@5 73.500 (68.498)
Epoch: [19][6120/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5426 (2.5529)	Prec@1 38.500 (37.690)	Prec@5 68.500 (68.497)
Epoch: [19][6130/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5491 (2.5529)	Prec@1 38.000 (37.690)	Prec@5 67.500 (68.495)
Epoch: [19][6140/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.6083 (2.5531)	Prec@1 38.500 (37.684)	Prec@5 69.500 (68.491)
Epoch: [19][6150/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.7756 (2.5532)	Prec@1 35.500 (37.683)	Prec@5 66.500 (68.493)
Epoch: [19][6160/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.4052 (2.5532)	Prec@1 37.500 (37.683)	Prec@5 70.000 (68.492)
Epoch: [19][6170/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5899 (2.5533)	Prec@1 37.000 (37.681)	Prec@5 65.500 (68.488)
Epoch: [19][6180/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.6611 (2.5534)	Prec@1 33.500 (37.678)	Prec@5 66.500 (68.487)
Epoch: [19][6190/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.5052 (2.5534)	Prec@1 40.500 (37.677)	Prec@5 73.500 (68.486)
Epoch: [19][6200/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.6247 (2.5535)	Prec@1 39.500 (37.680)	Prec@5 67.000 (68.486)
Epoch: [19][6210/9018]	Time 0.729 (0.612)	Data 0.001 (0.001)	Loss 2.4531 (2.5534)	Prec@1 40.500 (37.682)	Prec@5 69.000 (68.486)
Epoch: [19][6220/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.7660 (2.5534)	Prec@1 32.000 (37.684)	Prec@5 65.000 (68.488)
Epoch: [19][6230/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 2.4588 (2.5532)	Prec@1 39.500 (37.688)	Prec@5 70.000 (68.491)
Epoch: [19][6240/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.4847 (2.5532)	Prec@1 37.000 (37.686)	Prec@5 72.500 (68.490)
Epoch: [19][6250/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.3917 (2.5532)	Prec@1 40.000 (37.684)	Prec@5 72.000 (68.489)
Epoch: [19][6260/9018]	Time 0.722 (0.612)	Data 0.001 (0.001)	Loss 2.8876 (2.5533)	Prec@1 31.500 (37.682)	Prec@5 62.000 (68.487)
Epoch: [19][6270/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 2.6274 (2.5533)	Prec@1 36.000 (37.682)	Prec@5 67.000 (68.487)
Epoch: [19][6280/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7755 (2.5534)	Prec@1 30.000 (37.680)	Prec@5 61.500 (68.486)
Epoch: [19][6290/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.6875 (2.5534)	Prec@1 39.500 (37.679)	Prec@5 65.500 (68.486)
Epoch: [19][6300/9018]	Time 0.630 (0.612)	Data 0.001 (0.001)	Loss 2.6553 (2.5534)	Prec@1 35.500 (37.675)	Prec@5 66.000 (68.488)
Epoch: [19][6310/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5346 (2.5533)	Prec@1 40.000 (37.679)	Prec@5 67.500 (68.488)
Epoch: [19][6320/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6128 (2.5533)	Prec@1 37.500 (37.680)	Prec@5 69.000 (68.492)
Epoch: [19][6330/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5080 (2.5533)	Prec@1 38.500 (37.679)	Prec@5 72.500 (68.491)
Epoch: [19][6340/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4115 (2.5533)	Prec@1 38.500 (37.679)	Prec@5 72.500 (68.491)
Epoch: [19][6350/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6641 (2.5534)	Prec@1 35.500 (37.677)	Prec@5 62.500 (68.489)
Epoch: [19][6360/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.4330 (2.5533)	Prec@1 37.500 (37.677)	Prec@5 69.000 (68.493)
Epoch: [19][6370/9018]	Time 0.630 (0.612)	Data 0.001 (0.001)	Loss 2.5236 (2.5534)	Prec@1 37.000 (37.671)	Prec@5 71.000 (68.493)
Epoch: [19][6380/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4660 (2.5534)	Prec@1 38.000 (37.672)	Prec@5 72.000 (68.492)
Epoch: [19][6390/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.5325 (2.5535)	Prec@1 37.500 (37.672)	Prec@5 69.500 (68.490)
Epoch: [19][6400/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.2618 (2.5534)	Prec@1 42.500 (37.676)	Prec@5 70.500 (68.491)
Epoch: [19][6410/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6500 (2.5535)	Prec@1 34.500 (37.675)	Prec@5 64.000 (68.489)
Epoch: [19][6420/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.7475 (2.5536)	Prec@1 36.500 (37.674)	Prec@5 65.500 (68.489)
Epoch: [19][6430/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.3748 (2.5535)	Prec@1 41.500 (37.678)	Prec@5 69.000 (68.490)
Epoch: [19][6440/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6660 (2.5536)	Prec@1 33.500 (37.675)	Prec@5 67.000 (68.489)
Epoch: [19][6450/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.5378 (2.5535)	Prec@1 38.500 (37.677)	Prec@5 68.000 (68.492)
Epoch: [19][6460/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.5073 (2.5536)	Prec@1 37.500 (37.677)	Prec@5 73.500 (68.492)
Epoch: [19][6470/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6717 (2.5535)	Prec@1 37.500 (37.679)	Prec@5 69.500 (68.494)
Epoch: [19][6480/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7754 (2.5535)	Prec@1 37.500 (37.679)	Prec@5 68.500 (68.494)
Epoch: [19][6490/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.5078 (2.5536)	Prec@1 40.500 (37.678)	Prec@5 69.500 (68.491)
Epoch: [19][6500/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.5124 (2.5537)	Prec@1 37.500 (37.676)	Prec@5 70.500 (68.490)
Epoch: [19][6510/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.3211 (2.5536)	Prec@1 42.500 (37.677)	Prec@5 70.000 (68.490)
Epoch: [19][6520/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.5569 (2.5536)	Prec@1 36.000 (37.677)	Prec@5 69.000 (68.490)
Epoch: [19][6530/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5044 (2.5536)	Prec@1 40.500 (37.677)	Prec@5 65.000 (68.490)
Epoch: [19][6540/9018]	Time 0.743 (0.612)	Data 0.001 (0.001)	Loss 2.5995 (2.5536)	Prec@1 37.000 (37.676)	Prec@5 70.000 (68.490)
Epoch: [19][6550/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6280 (2.5537)	Prec@1 36.500 (37.674)	Prec@5 69.500 (68.489)
Epoch: [19][6560/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.4098 (2.5537)	Prec@1 41.500 (37.674)	Prec@5 74.000 (68.490)
Epoch: [19][6570/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.6485 (2.5537)	Prec@1 38.500 (37.675)	Prec@5 67.500 (68.490)
Epoch: [19][6580/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.6773 (2.5537)	Prec@1 39.000 (37.676)	Prec@5 67.000 (68.490)
Epoch: [19][6590/9018]	Time 0.724 (0.612)	Data 0.001 (0.001)	Loss 2.4706 (2.5537)	Prec@1 44.000 (37.676)	Prec@5 70.000 (68.488)
Epoch: [19][6600/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6381 (2.5537)	Prec@1 33.000 (37.676)	Prec@5 64.500 (68.491)
Epoch: [19][6610/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 2.5279 (2.5538)	Prec@1 38.500 (37.675)	Prec@5 66.500 (68.489)
Epoch: [19][6620/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.4730 (2.5538)	Prec@1 37.500 (37.674)	Prec@5 69.000 (68.488)
Epoch: [19][6630/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.7512 (2.5538)	Prec@1 33.000 (37.676)	Prec@5 61.500 (68.489)
Epoch: [19][6640/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.2585 (2.5538)	Prec@1 40.500 (37.675)	Prec@5 72.500 (68.487)
Epoch: [19][6650/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.8496 (2.5539)	Prec@1 31.000 (37.673)	Prec@5 63.000 (68.486)
Epoch: [19][6660/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 2.4440 (2.5538)	Prec@1 39.000 (37.673)	Prec@5 69.500 (68.487)
Epoch: [19][6670/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.4443 (2.5537)	Prec@1 43.500 (37.673)	Prec@5 69.000 (68.488)
Epoch: [19][6680/9018]	Time 0.634 (0.612)	Data 0.001 (0.001)	Loss 2.5860 (2.5538)	Prec@1 35.000 (37.672)	Prec@5 69.000 (68.486)
Epoch: [19][6690/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7396 (2.5538)	Prec@1 32.500 (37.672)	Prec@5 64.000 (68.486)
Epoch: [19][6700/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6061 (2.5539)	Prec@1 36.000 (37.671)	Prec@5 64.000 (68.482)
Epoch: [19][6710/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5470 (2.5538)	Prec@1 34.000 (37.671)	Prec@5 67.500 (68.483)
Epoch: [19][6720/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6020 (2.5539)	Prec@1 39.500 (37.671)	Prec@5 69.000 (68.483)
Epoch: [19][6730/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6593 (2.5539)	Prec@1 36.000 (37.671)	Prec@5 65.000 (68.484)
Epoch: [19][6740/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.3781 (2.5538)	Prec@1 44.000 (37.672)	Prec@5 71.500 (68.485)
Epoch: [19][6750/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.5458 (2.5538)	Prec@1 36.000 (37.671)	Prec@5 65.500 (68.486)
Epoch: [19][6760/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.4696 (2.5539)	Prec@1 37.500 (37.668)	Prec@5 68.500 (68.485)
Epoch: [19][6770/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5283 (2.5538)	Prec@1 38.500 (37.669)	Prec@5 70.500 (68.487)
Epoch: [19][6780/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.4490 (2.5539)	Prec@1 43.500 (37.666)	Prec@5 72.000 (68.488)
Epoch: [19][6790/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.3856 (2.5539)	Prec@1 43.500 (37.667)	Prec@5 72.000 (68.488)
Epoch: [19][6800/9018]	Time 0.617 (0.612)	Data 0.001 (0.001)	Loss 2.6105 (2.5539)	Prec@1 35.500 (37.667)	Prec@5 68.500 (68.487)
Epoch: [19][6810/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.8065 (2.5540)	Prec@1 32.000 (37.665)	Prec@5 63.000 (68.486)
Epoch: [19][6820/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.4355 (2.5540)	Prec@1 39.000 (37.663)	Prec@5 71.500 (68.485)
Epoch: [19][6830/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4674 (2.5540)	Prec@1 37.500 (37.662)	Prec@5 71.500 (68.486)
Epoch: [19][6840/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 2.4260 (2.5540)	Prec@1 38.500 (37.662)	Prec@5 70.000 (68.485)
Epoch: [19][6850/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.4419 (2.5540)	Prec@1 41.000 (37.665)	Prec@5 72.000 (68.486)
Epoch: [19][6860/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.3686 (2.5540)	Prec@1 41.500 (37.664)	Prec@5 74.500 (68.486)
Epoch: [19][6870/9018]	Time 0.751 (0.612)	Data 0.001 (0.001)	Loss 2.6304 (2.5540)	Prec@1 40.000 (37.665)	Prec@5 68.000 (68.485)
Epoch: [19][6880/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7987 (2.5541)	Prec@1 33.500 (37.663)	Prec@5 66.000 (68.485)
Epoch: [19][6890/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5167 (2.5540)	Prec@1 37.500 (37.662)	Prec@5 70.000 (68.486)
Epoch: [19][6900/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7931 (2.5541)	Prec@1 32.500 (37.660)	Prec@5 63.500 (68.484)
Epoch: [19][6910/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6329 (2.5541)	Prec@1 36.000 (37.660)	Prec@5 68.500 (68.485)
Epoch: [19][6920/9018]	Time 0.712 (0.612)	Data 0.001 (0.001)	Loss 2.5139 (2.5541)	Prec@1 42.000 (37.659)	Prec@5 67.000 (68.485)
Epoch: [19][6930/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.4890 (2.5542)	Prec@1 41.500 (37.658)	Prec@5 71.000 (68.484)
Epoch: [19][6940/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.4811 (2.5543)	Prec@1 35.000 (37.658)	Prec@5 69.000 (68.484)
Epoch: [19][6950/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 2.3786 (2.5542)	Prec@1 37.000 (37.659)	Prec@5 72.000 (68.483)
Epoch: [19][6960/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.5556 (2.5542)	Prec@1 31.500 (37.657)	Prec@5 68.500 (68.482)
Epoch: [19][6970/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5811 (2.5542)	Prec@1 37.500 (37.657)	Prec@5 67.000 (68.481)
Epoch: [19][6980/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.4689 (2.5542)	Prec@1 37.500 (37.655)	Prec@5 69.500 (68.480)
Epoch: [19][6990/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.6137 (2.5541)	Prec@1 35.500 (37.656)	Prec@5 72.500 (68.482)
Epoch: [19][7000/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.7350 (2.5542)	Prec@1 34.500 (37.655)	Prec@5 64.500 (68.481)
Epoch: [19][7010/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.4764 (2.5543)	Prec@1 35.500 (37.653)	Prec@5 70.500 (68.478)
Epoch: [19][7020/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.4708 (2.5544)	Prec@1 40.000 (37.651)	Prec@5 73.000 (68.478)
Epoch: [19][7030/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.4639 (2.5543)	Prec@1 43.500 (37.654)	Prec@5 71.500 (68.480)
Epoch: [19][7040/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.3359 (2.5543)	Prec@1 42.000 (37.654)	Prec@5 72.500 (68.479)
Epoch: [19][7050/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7935 (2.5543)	Prec@1 35.500 (37.655)	Prec@5 62.500 (68.478)
Epoch: [19][7060/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4733 (2.5543)	Prec@1 43.500 (37.656)	Prec@5 65.500 (68.478)
Epoch: [19][7070/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.6220 (2.5543)	Prec@1 40.000 (37.656)	Prec@5 66.500 (68.478)
Epoch: [19][7080/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 2.5750 (2.5543)	Prec@1 39.000 (37.658)	Prec@5 65.500 (68.478)
Epoch: [19][7090/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7004 (2.5543)	Prec@1 40.500 (37.660)	Prec@5 66.000 (68.478)
Epoch: [19][7100/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.7747 (2.5544)	Prec@1 33.000 (37.658)	Prec@5 63.000 (68.476)
Epoch: [19][7110/9018]	Time 0.631 (0.612)	Data 0.001 (0.001)	Loss 2.5699 (2.5543)	Prec@1 34.000 (37.659)	Prec@5 68.000 (68.478)
Epoch: [19][7120/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6562 (2.5543)	Prec@1 33.000 (37.658)	Prec@5 66.500 (68.479)
Epoch: [19][7130/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6204 (2.5543)	Prec@1 40.000 (37.659)	Prec@5 63.000 (68.477)
Epoch: [19][7140/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.3961 (2.5543)	Prec@1 39.000 (37.660)	Prec@5 69.500 (68.477)
Epoch: [19][7150/9018]	Time 0.632 (0.612)	Data 0.001 (0.001)	Loss 2.5217 (2.5543)	Prec@1 40.000 (37.662)	Prec@5 66.500 (68.477)
Epoch: [19][7160/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6897 (2.5542)	Prec@1 38.500 (37.663)	Prec@5 66.500 (68.478)
Epoch: [19][7170/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 2.5099 (2.5542)	Prec@1 34.000 (37.662)	Prec@5 67.500 (68.478)
Epoch: [19][7180/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6538 (2.5542)	Prec@1 34.000 (37.662)	Prec@5 69.500 (68.478)
Epoch: [19][7190/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5792 (2.5542)	Prec@1 39.500 (37.664)	Prec@5 65.000 (68.479)
Epoch: [19][7200/9018]	Time 0.722 (0.612)	Data 0.001 (0.001)	Loss 2.7972 (2.5542)	Prec@1 29.500 (37.661)	Prec@5 67.500 (68.480)
Epoch: [19][7210/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 2.5241 (2.5544)	Prec@1 40.000 (37.661)	Prec@5 70.000 (68.477)
Epoch: [19][7220/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5440 (2.5544)	Prec@1 37.000 (37.659)	Prec@5 68.000 (68.476)
Epoch: [19][7230/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6562 (2.5544)	Prec@1 37.000 (37.660)	Prec@5 68.000 (68.476)
Epoch: [19][7240/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5272 (2.5544)	Prec@1 35.500 (37.661)	Prec@5 68.000 (68.475)
Epoch: [19][7250/9018]	Time 0.719 (0.612)	Data 0.001 (0.001)	Loss 2.4239 (2.5543)	Prec@1 40.500 (37.662)	Prec@5 67.500 (68.477)
Epoch: [19][7260/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7208 (2.5545)	Prec@1 34.000 (37.659)	Prec@5 64.500 (68.473)
Epoch: [19][7270/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5749 (2.5545)	Prec@1 33.500 (37.656)	Prec@5 66.500 (68.472)
Epoch: [19][7280/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.4720 (2.5545)	Prec@1 35.000 (37.656)	Prec@5 68.000 (68.474)
Epoch: [19][7290/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5564 (2.5545)	Prec@1 40.000 (37.658)	Prec@5 66.000 (68.474)
Epoch: [19][7300/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.8049 (2.5546)	Prec@1 35.000 (37.655)	Prec@5 62.500 (68.471)
Epoch: [19][7310/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 2.6500 (2.5547)	Prec@1 34.000 (37.654)	Prec@5 69.500 (68.469)
Epoch: [19][7320/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.4211 (2.5547)	Prec@1 39.500 (37.653)	Prec@5 71.000 (68.470)
Epoch: [19][7330/9018]	Time 0.589 (0.612)	Data 0.001 (0.001)	Loss 2.7184 (2.5546)	Prec@1 38.000 (37.655)	Prec@5 60.000 (68.470)
Epoch: [19][7340/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6807 (2.5546)	Prec@1 34.500 (37.657)	Prec@5 66.500 (68.469)
Epoch: [19][7350/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.4476 (2.5546)	Prec@1 40.500 (37.655)	Prec@5 68.500 (68.468)
Epoch: [19][7360/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6805 (2.5546)	Prec@1 36.000 (37.654)	Prec@5 68.500 (68.468)
Epoch: [19][7370/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.3449 (2.5545)	Prec@1 43.000 (37.657)	Prec@5 72.000 (68.469)
Epoch: [19][7380/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5899 (2.5545)	Prec@1 43.000 (37.658)	Prec@5 70.000 (68.470)
Epoch: [19][7390/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 2.4127 (2.5546)	Prec@1 41.000 (37.656)	Prec@5 75.000 (68.468)
Epoch: [19][7400/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4887 (2.5546)	Prec@1 43.000 (37.657)	Prec@5 68.500 (68.468)
Epoch: [19][7410/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.6895 (2.5546)	Prec@1 36.500 (37.656)	Prec@5 67.000 (68.468)
Epoch: [19][7420/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5954 (2.5547)	Prec@1 34.500 (37.655)	Prec@5 70.000 (68.467)
Epoch: [19][7430/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.4650 (2.5547)	Prec@1 39.000 (37.654)	Prec@5 71.000 (68.468)
Epoch: [19][7440/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.6490 (2.5547)	Prec@1 33.000 (37.654)	Prec@5 66.000 (68.468)
Epoch: [19][7450/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6459 (2.5547)	Prec@1 30.500 (37.650)	Prec@5 66.500 (68.466)
Epoch: [19][7460/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.4775 (2.5547)	Prec@1 33.500 (37.650)	Prec@5 69.500 (68.467)
Epoch: [19][7470/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.5524 (2.5546)	Prec@1 38.500 (37.651)	Prec@5 69.500 (68.470)
Epoch: [19][7480/9018]	Time 0.631 (0.612)	Data 0.001 (0.001)	Loss 2.7672 (2.5546)	Prec@1 34.500 (37.648)	Prec@5 65.500 (68.468)
Epoch: [19][7490/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5349 (2.5546)	Prec@1 42.000 (37.650)	Prec@5 70.000 (68.469)
Epoch: [19][7500/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6910 (2.5546)	Prec@1 38.500 (37.649)	Prec@5 64.000 (68.470)
Epoch: [19][7510/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.6804 (2.5547)	Prec@1 33.000 (37.647)	Prec@5 64.500 (68.468)
Epoch: [19][7520/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6230 (2.5547)	Prec@1 34.500 (37.647)	Prec@5 65.000 (68.468)
Epoch: [19][7530/9018]	Time 0.734 (0.612)	Data 0.001 (0.001)	Loss 2.5307 (2.5547)	Prec@1 39.000 (37.647)	Prec@5 68.000 (68.467)
Epoch: [19][7540/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.4840 (2.5547)	Prec@1 37.000 (37.646)	Prec@5 66.000 (68.468)
Epoch: [19][7550/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 2.5529 (2.5546)	Prec@1 40.500 (37.647)	Prec@5 68.500 (68.469)
Epoch: [19][7560/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.4898 (2.5546)	Prec@1 40.500 (37.648)	Prec@5 67.000 (68.470)
Epoch: [19][7570/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6354 (2.5546)	Prec@1 39.500 (37.647)	Prec@5 68.000 (68.469)
Epoch: [19][7580/9018]	Time 0.725 (0.612)	Data 0.001 (0.001)	Loss 2.9370 (2.5547)	Prec@1 31.000 (37.646)	Prec@5 64.000 (68.467)
Epoch: [19][7590/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.3882 (2.5548)	Prec@1 41.000 (37.644)	Prec@5 72.500 (68.466)
Epoch: [19][7600/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.5761 (2.5548)	Prec@1 37.000 (37.644)	Prec@5 66.500 (68.466)
Epoch: [19][7610/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.4872 (2.5548)	Prec@1 36.000 (37.644)	Prec@5 69.500 (68.466)
Epoch: [19][7620/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.8493 (2.5550)	Prec@1 35.000 (37.642)	Prec@5 64.000 (68.464)
Epoch: [19][7630/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.7844 (2.5551)	Prec@1 31.500 (37.639)	Prec@5 66.500 (68.462)
Epoch: [19][7640/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.7324 (2.5551)	Prec@1 32.500 (37.639)	Prec@5 64.000 (68.462)
Epoch: [19][7650/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.4522 (2.5552)	Prec@1 43.000 (37.638)	Prec@5 74.500 (68.460)
Epoch: [19][7660/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.7092 (2.5552)	Prec@1 36.000 (37.637)	Prec@5 67.500 (68.462)
Epoch: [19][7670/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5747 (2.5552)	Prec@1 40.500 (37.637)	Prec@5 65.500 (68.460)
Epoch: [19][7680/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7872 (2.5554)	Prec@1 32.500 (37.635)	Prec@5 60.000 (68.457)
Epoch: [19][7690/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 2.4976 (2.5553)	Prec@1 41.500 (37.637)	Prec@5 70.000 (68.458)
Epoch: [19][7700/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.6106 (2.5553)	Prec@1 33.000 (37.636)	Prec@5 67.000 (68.459)
Epoch: [19][7710/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5234 (2.5552)	Prec@1 40.500 (37.636)	Prec@5 71.500 (68.461)
Epoch: [19][7720/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6762 (2.5551)	Prec@1 30.500 (37.635)	Prec@5 66.500 (68.463)
Epoch: [19][7730/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.5997 (2.5552)	Prec@1 38.000 (37.635)	Prec@5 72.000 (68.462)
Epoch: [19][7740/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6671 (2.5553)	Prec@1 34.500 (37.635)	Prec@5 66.000 (68.460)
Epoch: [19][7750/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6393 (2.5553)	Prec@1 33.000 (37.634)	Prec@5 66.500 (68.461)
Epoch: [19][7760/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 2.3780 (2.5554)	Prec@1 42.500 (37.630)	Prec@5 71.000 (68.461)
Epoch: [19][7770/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.2840 (2.5553)	Prec@1 39.500 (37.631)	Prec@5 75.500 (68.462)
Epoch: [19][7780/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.8053 (2.5554)	Prec@1 33.500 (37.630)	Prec@5 63.500 (68.462)
Epoch: [19][7790/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.5629 (2.5554)	Prec@1 40.000 (37.630)	Prec@5 66.500 (68.461)
Epoch: [19][7800/9018]	Time 0.631 (0.612)	Data 0.001 (0.001)	Loss 2.8150 (2.5554)	Prec@1 35.500 (37.630)	Prec@5 60.500 (68.461)
Epoch: [19][7810/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.6213 (2.5554)	Prec@1 39.000 (37.630)	Prec@5 67.000 (68.462)
Epoch: [19][7820/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.4348 (2.5555)	Prec@1 36.500 (37.628)	Prec@5 67.500 (68.462)
Epoch: [19][7830/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5223 (2.5556)	Prec@1 38.500 (37.627)	Prec@5 68.500 (68.461)
Epoch: [19][7840/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 2.6864 (2.5556)	Prec@1 32.000 (37.626)	Prec@5 67.500 (68.461)
Epoch: [19][7850/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.7255 (2.5557)	Prec@1 34.000 (37.624)	Prec@5 65.500 (68.459)
Epoch: [19][7860/9018]	Time 0.724 (0.612)	Data 0.001 (0.001)	Loss 2.4746 (2.5557)	Prec@1 41.000 (37.624)	Prec@5 68.500 (68.459)
Epoch: [19][7870/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.3432 (2.5556)	Prec@1 44.000 (37.626)	Prec@5 70.500 (68.460)
Epoch: [19][7880/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.5259 (2.5556)	Prec@1 37.000 (37.628)	Prec@5 70.500 (68.460)
Epoch: [19][7890/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.5560 (2.5557)	Prec@1 39.000 (37.627)	Prec@5 69.500 (68.460)
Epoch: [19][7900/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.4146 (2.5558)	Prec@1 44.000 (37.626)	Prec@5 68.000 (68.459)
Epoch: [19][7910/9018]	Time 0.717 (0.612)	Data 0.001 (0.001)	Loss 2.6357 (2.5558)	Prec@1 37.500 (37.625)	Prec@5 67.000 (68.459)
Epoch: [19][7920/9018]	Time 0.632 (0.612)	Data 0.001 (0.001)	Loss 2.6287 (2.5558)	Prec@1 39.000 (37.624)	Prec@5 62.000 (68.458)
Epoch: [19][7930/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.4075 (2.5557)	Prec@1 37.500 (37.624)	Prec@5 73.000 (68.459)
Epoch: [19][7940/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.5372 (2.5557)	Prec@1 34.000 (37.625)	Prec@5 69.500 (68.461)
Epoch: [19][7950/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 2.7350 (2.5558)	Prec@1 39.500 (37.622)	Prec@5 64.000 (68.460)
Epoch: [19][7960/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.3251 (2.5558)	Prec@1 43.500 (37.622)	Prec@5 71.000 (68.461)
Epoch: [19][7970/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.5343 (2.5557)	Prec@1 36.500 (37.622)	Prec@5 70.000 (68.461)
Epoch: [19][7980/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.6064 (2.5558)	Prec@1 39.000 (37.622)	Prec@5 67.500 (68.460)
Epoch: [19][7990/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.5154 (2.5557)	Prec@1 40.000 (37.623)	Prec@5 73.000 (68.460)
Epoch: [19][8000/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5012 (2.5558)	Prec@1 38.000 (37.621)	Prec@5 70.500 (68.459)
Epoch: [19][8010/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5723 (2.5558)	Prec@1 35.500 (37.619)	Prec@5 66.500 (68.459)
Epoch: [19][8020/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6138 (2.5559)	Prec@1 32.500 (37.617)	Prec@5 64.000 (68.457)
Epoch: [19][8030/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.3324 (2.5559)	Prec@1 43.500 (37.620)	Prec@5 71.000 (68.456)
Epoch: [19][8040/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.6182 (2.5560)	Prec@1 37.000 (37.620)	Prec@5 64.500 (68.453)
Epoch: [19][8050/9018]	Time 0.617 (0.612)	Data 0.001 (0.001)	Loss 2.5669 (2.5560)	Prec@1 37.500 (37.620)	Prec@5 68.000 (68.453)
Epoch: [19][8060/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.4749 (2.5560)	Prec@1 41.500 (37.621)	Prec@5 70.500 (68.452)
Epoch: [19][8070/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.7030 (2.5560)	Prec@1 30.000 (37.618)	Prec@5 66.500 (68.452)
Epoch: [19][8080/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.4718 (2.5560)	Prec@1 43.000 (37.619)	Prec@5 70.500 (68.452)
Epoch: [19][8090/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.5993 (2.5560)	Prec@1 37.500 (37.619)	Prec@5 68.500 (68.452)
Epoch: [19][8100/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6235 (2.5560)	Prec@1 36.000 (37.619)	Prec@5 67.000 (68.452)
Epoch: [19][8110/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7641 (2.5561)	Prec@1 34.500 (37.617)	Prec@5 59.500 (68.449)
Epoch: [19][8120/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.4686 (2.5561)	Prec@1 39.000 (37.617)	Prec@5 73.500 (68.449)
Epoch: [19][8130/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 2.4277 (2.5561)	Prec@1 40.500 (37.616)	Prec@5 71.000 (68.449)
Epoch: [19][8140/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.4675 (2.5561)	Prec@1 37.000 (37.616)	Prec@5 73.000 (68.449)
Epoch: [19][8150/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.7370 (2.5562)	Prec@1 32.500 (37.613)	Prec@5 65.500 (68.448)
Epoch: [19][8160/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.6948 (2.5563)	Prec@1 34.000 (37.613)	Prec@5 67.500 (68.447)
Epoch: [19][8170/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.5725 (2.5563)	Prec@1 38.500 (37.613)	Prec@5 71.500 (68.447)
Epoch: [19][8180/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.4302 (2.5563)	Prec@1 40.500 (37.613)	Prec@5 67.000 (68.446)
Epoch: [19][8190/9018]	Time 0.728 (0.612)	Data 0.001 (0.001)	Loss 2.6435 (2.5563)	Prec@1 34.500 (37.614)	Prec@5 69.500 (68.446)
Epoch: [19][8200/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.6557 (2.5563)	Prec@1 32.500 (37.614)	Prec@5 63.000 (68.447)
Epoch: [19][8210/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.6054 (2.5563)	Prec@1 34.000 (37.611)	Prec@5 64.500 (68.446)
Epoch: [19][8220/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.5593 (2.5563)	Prec@1 35.500 (37.611)	Prec@5 68.000 (68.445)
Epoch: [19][8230/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.4741 (2.5564)	Prec@1 34.500 (37.607)	Prec@5 72.500 (68.443)
Epoch: [19][8240/9018]	Time 0.720 (0.612)	Data 0.001 (0.001)	Loss 2.5048 (2.5564)	Prec@1 40.000 (37.608)	Prec@5 70.000 (68.444)
Epoch: [19][8250/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4024 (2.5563)	Prec@1 38.000 (37.609)	Prec@5 71.000 (68.444)
Epoch: [19][8260/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.4921 (2.5562)	Prec@1 36.500 (37.611)	Prec@5 73.500 (68.447)
Epoch: [19][8270/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.5401 (2.5562)	Prec@1 38.500 (37.612)	Prec@5 68.000 (68.447)
Epoch: [19][8280/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.6083 (2.5562)	Prec@1 38.000 (37.611)	Prec@5 65.500 (68.445)
Epoch: [19][8290/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.8657 (2.5563)	Prec@1 35.000 (37.611)	Prec@5 61.000 (68.445)
Epoch: [19][8300/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.4626 (2.5563)	Prec@1 36.500 (37.609)	Prec@5 70.500 (68.444)
Epoch: [19][8310/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.6211 (2.5563)	Prec@1 40.000 (37.609)	Prec@5 70.500 (68.444)
Epoch: [19][8320/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.4919 (2.5563)	Prec@1 41.500 (37.610)	Prec@5 71.500 (68.443)
Epoch: [19][8330/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.5589 (2.5563)	Prec@1 40.500 (37.611)	Prec@5 67.500 (68.443)
Epoch: [19][8340/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.6759 (2.5563)	Prec@1 33.000 (37.611)	Prec@5 67.000 (68.441)
Epoch: [19][8350/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.4370 (2.5564)	Prec@1 39.000 (37.609)	Prec@5 72.500 (68.442)
Epoch: [19][8360/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.4322 (2.5564)	Prec@1 44.000 (37.611)	Prec@5 69.500 (68.442)
Epoch: [19][8370/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.6396 (2.5564)	Prec@1 38.500 (37.611)	Prec@5 65.500 (68.442)
Epoch: [19][8380/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.3211 (2.5563)	Prec@1 45.000 (37.614)	Prec@5 73.500 (68.444)
Epoch: [19][8390/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.4575 (2.5562)	Prec@1 43.500 (37.615)	Prec@5 71.500 (68.445)
Epoch: [19][8400/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6979 (2.5561)	Prec@1 35.500 (37.617)	Prec@5 66.500 (68.446)
Epoch: [19][8410/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.6656 (2.5562)	Prec@1 34.000 (37.615)	Prec@5 68.000 (68.445)
Epoch: [19][8420/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.8167 (2.5562)	Prec@1 33.000 (37.615)	Prec@5 64.000 (68.444)
Epoch: [19][8430/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5792 (2.5562)	Prec@1 39.500 (37.615)	Prec@5 66.500 (68.443)
Epoch: [19][8440/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.2791 (2.5562)	Prec@1 39.500 (37.615)	Prec@5 75.000 (68.442)
Epoch: [19][8450/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.6632 (2.5563)	Prec@1 32.000 (37.614)	Prec@5 66.000 (68.440)
Epoch: [19][8460/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 3.0262 (2.5562)	Prec@1 32.000 (37.614)	Prec@5 59.500 (68.442)
Epoch: [19][8470/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.7491 (2.5563)	Prec@1 33.500 (37.613)	Prec@5 61.500 (68.441)
Epoch: [19][8480/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.4488 (2.5564)	Prec@1 42.500 (37.613)	Prec@5 72.500 (68.440)
Epoch: [19][8490/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6774 (2.5563)	Prec@1 37.500 (37.613)	Prec@5 66.500 (68.440)
Epoch: [19][8500/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.6264 (2.5563)	Prec@1 38.000 (37.616)	Prec@5 66.500 (68.441)
Epoch: [19][8510/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.4969 (2.5563)	Prec@1 38.500 (37.615)	Prec@5 72.500 (68.440)
Epoch: [19][8520/9018]	Time 0.732 (0.612)	Data 0.001 (0.001)	Loss 2.8208 (2.5564)	Prec@1 33.000 (37.612)	Prec@5 63.000 (68.438)
Epoch: [19][8530/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.7618 (2.5563)	Prec@1 33.000 (37.613)	Prec@5 64.500 (68.438)
Epoch: [19][8540/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.5327 (2.5564)	Prec@1 36.500 (37.612)	Prec@5 65.000 (68.437)
Epoch: [19][8550/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.3216 (2.5564)	Prec@1 44.500 (37.612)	Prec@5 71.000 (68.437)
Epoch: [19][8560/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7328 (2.5564)	Prec@1 38.000 (37.613)	Prec@5 65.500 (68.439)
Epoch: [19][8570/9018]	Time 0.726 (0.612)	Data 0.001 (0.001)	Loss 2.5003 (2.5564)	Prec@1 38.500 (37.614)	Prec@5 67.500 (68.440)
Epoch: [19][8580/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.7580 (2.5564)	Prec@1 35.000 (37.612)	Prec@5 68.000 (68.438)
Epoch: [19][8590/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5832 (2.5565)	Prec@1 40.500 (37.613)	Prec@5 67.500 (68.438)
Epoch: [19][8600/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.5257 (2.5565)	Prec@1 36.500 (37.613)	Prec@5 70.000 (68.437)
Epoch: [19][8610/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5002 (2.5565)	Prec@1 36.000 (37.612)	Prec@5 70.500 (68.438)
Epoch: [19][8620/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.5533 (2.5564)	Prec@1 36.000 (37.613)	Prec@5 66.000 (68.439)
Epoch: [19][8630/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6849 (2.5565)	Prec@1 34.000 (37.611)	Prec@5 64.500 (68.436)
Epoch: [19][8640/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6427 (2.5566)	Prec@1 38.500 (37.610)	Prec@5 65.500 (68.434)
Epoch: [19][8650/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.6038 (2.5566)	Prec@1 35.500 (37.610)	Prec@5 65.500 (68.433)
Epoch: [19][8660/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6666 (2.5566)	Prec@1 36.000 (37.608)	Prec@5 66.000 (68.434)
Epoch: [19][8670/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.3978 (2.5566)	Prec@1 40.000 (37.608)	Prec@5 70.500 (68.435)
Epoch: [19][8680/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.6059 (2.5567)	Prec@1 36.000 (37.607)	Prec@5 67.000 (68.435)
Epoch: [19][8690/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5621 (2.5566)	Prec@1 35.000 (37.607)	Prec@5 66.000 (68.436)
Epoch: [19][8700/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.7275 (2.5566)	Prec@1 34.000 (37.607)	Prec@5 66.000 (68.436)
Epoch: [19][8710/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 2.5493 (2.5566)	Prec@1 39.000 (37.607)	Prec@5 69.500 (68.436)
Epoch: [19][8720/9018]	Time 0.633 (0.612)	Data 0.001 (0.001)	Loss 2.7411 (2.5566)	Prec@1 36.000 (37.604)	Prec@5 61.500 (68.434)
Epoch: [19][8730/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.6564 (2.5566)	Prec@1 35.000 (37.603)	Prec@5 68.500 (68.434)
Epoch: [19][8740/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.6741 (2.5566)	Prec@1 37.500 (37.602)	Prec@5 68.500 (68.435)
Epoch: [19][8750/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.8964 (2.5567)	Prec@1 32.500 (37.601)	Prec@5 62.500 (68.435)
Epoch: [19][8760/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 2.6166 (2.5567)	Prec@1 36.500 (37.602)	Prec@5 68.000 (68.436)
Epoch: [19][8770/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.7859 (2.5567)	Prec@1 31.500 (37.602)	Prec@5 67.000 (68.434)
Epoch: [19][8780/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.3671 (2.5568)	Prec@1 39.500 (37.602)	Prec@5 75.500 (68.432)
Epoch: [19][8790/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 2.6792 (2.5567)	Prec@1 37.500 (37.604)	Prec@5 65.500 (68.434)
Epoch: [19][8800/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5407 (2.5567)	Prec@1 39.000 (37.603)	Prec@5 68.000 (68.436)
Epoch: [19][8810/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7922 (2.5567)	Prec@1 34.000 (37.603)	Prec@5 64.500 (68.436)
Epoch: [19][8820/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.7509 (2.5568)	Prec@1 33.000 (37.601)	Prec@5 62.500 (68.435)
Epoch: [19][8830/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.5732 (2.5568)	Prec@1 39.000 (37.602)	Prec@5 66.000 (68.434)
Epoch: [19][8840/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.4992 (2.5568)	Prec@1 39.000 (37.602)	Prec@5 70.500 (68.435)
Epoch: [19][8850/9018]	Time 0.736 (0.612)	Data 0.001 (0.001)	Loss 2.4403 (2.5568)	Prec@1 40.000 (37.601)	Prec@5 71.500 (68.435)
Epoch: [19][8860/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.5029 (2.5568)	Prec@1 32.000 (37.601)	Prec@5 71.000 (68.436)
Epoch: [19][8870/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.4667 (2.5567)	Prec@1 40.500 (37.602)	Prec@5 72.000 (68.439)
Epoch: [19][8880/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.7574 (2.5567)	Prec@1 35.000 (37.602)	Prec@5 63.000 (68.439)
Epoch: [19][8890/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.5759 (2.5567)	Prec@1 31.500 (37.601)	Prec@5 67.000 (68.440)
Epoch: [19][8900/9018]	Time 0.723 (0.612)	Data 0.001 (0.001)	Loss 2.3588 (2.5567)	Prec@1 40.500 (37.600)	Prec@5 77.000 (68.439)
Epoch: [19][8910/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.4807 (2.5567)	Prec@1 36.000 (37.601)	Prec@5 70.000 (68.440)
Epoch: [19][8920/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.4316 (2.5568)	Prec@1 38.000 (37.598)	Prec@5 70.500 (68.438)
Epoch: [19][8930/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.9685 (2.5567)	Prec@1 28.000 (37.598)	Prec@5 61.000 (68.440)
Epoch: [19][8940/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.5080 (2.5567)	Prec@1 41.500 (37.597)	Prec@5 68.000 (68.440)
Epoch: [19][8950/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.6682 (2.5568)	Prec@1 35.000 (37.595)	Prec@5 68.000 (68.439)
Epoch: [19][8960/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.4140 (2.5567)	Prec@1 38.500 (37.597)	Prec@5 69.000 (68.441)
Epoch: [19][8970/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 2.3661 (2.5566)	Prec@1 40.000 (37.598)	Prec@5 72.500 (68.442)
Epoch: [19][8980/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.6139 (2.5567)	Prec@1 39.000 (37.597)	Prec@5 66.500 (68.441)
Epoch: [19][8990/9018]	Time 0.590 (0.612)	Data 0.001 (0.001)	Loss 2.3807 (2.5566)	Prec@1 40.000 (37.598)	Prec@5 70.500 (68.442)
Epoch: [19][9000/9018]	Time 0.647 (0.612)	Data 0.001 (0.001)	Loss 2.6318 (2.5567)	Prec@1 38.000 (37.597)	Prec@5 68.000 (68.440)
Epoch: [19][9010/9018]	Time 0.591 (0.612)	Data 0.000 (0.001)	Loss 2.3861 (2.5568)	Prec@1 42.500 (37.596)	Prec@5 72.500 (68.438)
Test: [0/183]	Time 1.348 (1.348)	Loss 2.7600 (2.7600)	Prec@1 35.000 (35.000)	Prec@5 65.500 (65.500)
Test: [10/183]	Time 0.190 (0.294)	Loss 2.0797 (2.1041)	Prec@1 54.000 (46.455)	Prec@5 75.500 (77.500)
Test: [20/183]	Time 0.189 (0.250)	Loss 2.5632 (2.1758)	Prec@1 31.500 (44.143)	Prec@5 72.500 (76.167)
Test: [30/183]	Time 0.250 (0.233)	Loss 3.0658 (2.2310)	Prec@1 26.500 (42.452)	Prec@5 57.500 (74.952)
Test: [40/183]	Time 0.191 (0.222)	Loss 2.8630 (2.2256)	Prec@1 30.000 (43.195)	Prec@5 66.500 (74.549)
Test: [50/183]	Time 0.191 (0.217)	Loss 2.1288 (2.2020)	Prec@1 41.500 (43.922)	Prec@5 79.000 (74.971)
Test: [60/183]	Time 0.183 (0.213)	Loss 2.5145 (2.2773)	Prec@1 36.000 (41.975)	Prec@5 76.500 (74.090)
Test: [70/183]	Time 0.191 (0.210)	Loss 1.8985 (2.2543)	Prec@1 45.000 (42.155)	Prec@5 84.000 (74.775)
Test: [80/183]	Time 0.321 (0.209)	Loss 2.2978 (2.2338)	Prec@1 39.500 (42.623)	Prec@5 77.500 (75.074)
Test: [90/183]	Time 0.183 (0.207)	Loss 3.4026 (2.2411)	Prec@1 19.000 (42.462)	Prec@5 56.500 (74.978)
Test: [100/183]	Time 0.190 (0.206)	Loss 1.5667 (2.2546)	Prec@1 58.500 (42.119)	Prec@5 83.000 (74.743)
Test: [110/183]	Time 0.182 (0.204)	Loss 0.8121 (2.2427)	Prec@1 81.000 (42.532)	Prec@5 96.500 (74.820)
Test: [120/183]	Time 0.181 (0.204)	Loss 2.1773 (2.2336)	Prec@1 41.500 (42.541)	Prec@5 80.000 (75.124)
Test: [130/183]	Time 0.244 (0.203)	Loss 3.3112 (2.2354)	Prec@1 15.500 (42.294)	Prec@5 55.000 (75.290)
Test: [140/183]	Time 0.192 (0.202)	Loss 2.0788 (2.2254)	Prec@1 48.000 (42.674)	Prec@5 77.000 (75.450)
Test: [150/183]	Time 0.193 (0.202)	Loss 0.5502 (2.2221)	Prec@1 88.000 (42.745)	Prec@5 96.500 (75.457)
Test: [160/183]	Time 0.191 (0.201)	Loss 2.0533 (2.2253)	Prec@1 46.500 (42.748)	Prec@5 75.000 (75.366)
Test: [170/183]	Time 0.198 (0.201)	Loss 2.4940 (2.2378)	Prec@1 36.000 (42.608)	Prec@5 74.000 (75.129)
Test: [180/183]	Time 0.243 (0.201)	Loss 2.2889 (2.2467)	Prec@1 44.000 (42.525)	Prec@5 76.000 (74.972)
 * Prec@1 42.468 Prec@5 74.923
Epoch: [20][0/9018]	Time 2.860 (2.860)	Data 2.256 (2.256)	Loss 2.4715 (2.4715)	Prec@1 42.500 (42.500)	Prec@5 69.500 (69.500)
Epoch: [20][10/9018]	Time 0.598 (0.803)	Data 0.001 (0.206)	Loss 2.4418 (2.5683)	Prec@1 40.500 (37.682)	Prec@5 73.500 (68.682)
Epoch: [20][20/9018]	Time 0.611 (0.716)	Data 0.001 (0.108)	Loss 2.6960 (2.5322)	Prec@1 36.000 (38.119)	Prec@5 64.500 (69.095)
Epoch: [20][30/9018]	Time 0.600 (0.682)	Data 0.001 (0.074)	Loss 2.7093 (2.5358)	Prec@1 37.000 (38.129)	Prec@5 65.000 (68.919)
Epoch: [20][40/9018]	Time 0.602 (0.662)	Data 0.001 (0.056)	Loss 2.5947 (2.5574)	Prec@1 35.000 (37.720)	Prec@5 70.500 (68.329)
Epoch: [20][50/9018]	Time 0.612 (0.654)	Data 0.001 (0.045)	Loss 2.7397 (2.5690)	Prec@1 30.000 (37.245)	Prec@5 64.500 (68.039)
Epoch: [20][60/9018]	Time 0.597 (0.646)	Data 0.001 (0.038)	Loss 2.7136 (2.5627)	Prec@1 37.000 (37.467)	Prec@5 63.500 (68.156)
Epoch: [20][70/9018]	Time 0.607 (0.642)	Data 0.001 (0.033)	Loss 2.3954 (2.5529)	Prec@1 42.000 (37.838)	Prec@5 71.500 (68.465)
Epoch: [20][80/9018]	Time 0.603 (0.639)	Data 0.001 (0.029)	Loss 2.3951 (2.5428)	Prec@1 41.000 (37.901)	Prec@5 71.500 (68.704)
Epoch: [20][90/9018]	Time 0.605 (0.635)	Data 0.001 (0.026)	Loss 2.3327 (2.5421)	Prec@1 38.000 (37.995)	Prec@5 72.500 (68.731)
Epoch: [20][100/9018]	Time 0.598 (0.633)	Data 0.001 (0.023)	Loss 2.6488 (2.5443)	Prec@1 33.500 (38.089)	Prec@5 69.000 (68.797)
Epoch: [20][110/9018]	Time 0.627 (0.630)	Data 0.001 (0.021)	Loss 2.5056 (2.5408)	Prec@1 38.500 (38.176)	Prec@5 72.500 (68.883)
Epoch: [20][120/9018]	Time 0.592 (0.629)	Data 0.001 (0.019)	Loss 2.7223 (2.5359)	Prec@1 33.000 (38.227)	Prec@5 64.000 (68.967)
Epoch: [20][130/9018]	Time 0.600 (0.628)	Data 0.001 (0.018)	Loss 2.6643 (2.5348)	Prec@1 35.000 (38.111)	Prec@5 67.000 (68.985)
Epoch: [20][140/9018]	Time 0.602 (0.626)	Data 0.001 (0.017)	Loss 2.4284 (2.5296)	Prec@1 41.500 (38.252)	Prec@5 66.500 (69.043)
Epoch: [20][150/9018]	Time 0.618 (0.626)	Data 0.001 (0.016)	Loss 2.4509 (2.5313)	Prec@1 40.500 (38.222)	Prec@5 71.000 (69.020)
Epoch: [20][160/9018]	Time 0.605 (0.624)	Data 0.001 (0.015)	Loss 2.7082 (2.5327)	Prec@1 33.000 (38.261)	Prec@5 66.000 (69.019)
Epoch: [20][170/9018]	Time 0.596 (0.624)	Data 0.001 (0.014)	Loss 2.3903 (2.5327)	Prec@1 40.000 (38.249)	Prec@5 69.500 (69.009)
Epoch: [20][180/9018]	Time 0.593 (0.623)	Data 0.001 (0.013)	Loss 2.2856 (2.5316)	Prec@1 38.500 (38.260)	Prec@5 72.500 (69.050)
Epoch: [20][190/9018]	Time 0.624 (0.622)	Data 0.001 (0.013)	Loss 2.3036 (2.5309)	Prec@1 41.000 (38.251)	Prec@5 72.000 (69.013)
Epoch: [20][200/9018]	Time 0.604 (0.622)	Data 0.001 (0.012)	Loss 2.4979 (2.5310)	Prec@1 35.000 (38.184)	Prec@5 72.500 (69.015)
Epoch: [20][210/9018]	Time 0.602 (0.621)	Data 0.001 (0.011)	Loss 2.4694 (2.5295)	Prec@1 37.000 (38.237)	Prec@5 67.000 (69.050)
Epoch: [20][220/9018]	Time 0.593 (0.621)	Data 0.001 (0.011)	Loss 2.7219 (2.5327)	Prec@1 33.500 (38.183)	Prec@5 63.500 (68.964)
Epoch: [20][230/9018]	Time 0.602 (0.621)	Data 0.001 (0.011)	Loss 2.5030 (2.5316)	Prec@1 38.500 (38.117)	Prec@5 69.000 (69.004)
Epoch: [20][240/9018]	Time 0.603 (0.620)	Data 0.001 (0.010)	Loss 2.7557 (2.5333)	Prec@1 34.500 (38.110)	Prec@5 63.500 (68.983)
Epoch: [20][250/9018]	Time 0.601 (0.620)	Data 0.001 (0.010)	Loss 2.5078 (2.5283)	Prec@1 42.500 (38.213)	Prec@5 66.500 (69.038)
Epoch: [20][260/9018]	Time 0.707 (0.620)	Data 0.001 (0.009)	Loss 2.4572 (2.5289)	Prec@1 37.500 (38.148)	Prec@5 65.500 (68.979)
Epoch: [20][270/9018]	Time 0.629 (0.619)	Data 0.001 (0.009)	Loss 2.6073 (2.5312)	Prec@1 36.500 (38.109)	Prec@5 71.000 (68.928)
Epoch: [20][280/9018]	Time 0.596 (0.619)	Data 0.001 (0.009)	Loss 2.4681 (2.5332)	Prec@1 37.500 (38.123)	Prec@5 68.500 (68.877)
Epoch: [20][290/9018]	Time 0.632 (0.619)	Data 0.001 (0.009)	Loss 2.3968 (2.5366)	Prec@1 39.500 (38.045)	Prec@5 72.500 (68.818)
Epoch: [20][300/9018]	Time 0.598 (0.619)	Data 0.001 (0.008)	Loss 2.4127 (2.5386)	Prec@1 36.000 (38.017)	Prec@5 70.000 (68.799)
Epoch: [20][310/9018]	Time 0.727 (0.619)	Data 0.001 (0.008)	Loss 2.3312 (2.5359)	Prec@1 39.000 (38.064)	Prec@5 70.000 (68.857)
Epoch: [20][320/9018]	Time 0.625 (0.618)	Data 0.001 (0.008)	Loss 2.4729 (2.5332)	Prec@1 39.000 (38.114)	Prec@5 69.500 (68.917)
Epoch: [20][330/9018]	Time 0.597 (0.618)	Data 0.001 (0.008)	Loss 2.5388 (2.5331)	Prec@1 36.500 (38.109)	Prec@5 67.000 (68.879)
Epoch: [20][340/9018]	Time 0.628 (0.618)	Data 0.001 (0.007)	Loss 2.3573 (2.5330)	Prec@1 38.500 (38.104)	Prec@5 76.500 (68.925)
Epoch: [20][350/9018]	Time 0.596 (0.618)	Data 0.001 (0.007)	Loss 2.4028 (2.5316)	Prec@1 38.000 (38.114)	Prec@5 70.500 (68.952)
Epoch: [20][360/9018]	Time 0.596 (0.618)	Data 0.001 (0.007)	Loss 2.5439 (2.5324)	Prec@1 38.000 (38.102)	Prec@5 67.000 (68.964)
Epoch: [20][370/9018]	Time 0.602 (0.618)	Data 0.001 (0.007)	Loss 2.5649 (2.5323)	Prec@1 36.000 (38.112)	Prec@5 68.000 (68.933)
Epoch: [20][380/9018]	Time 0.626 (0.618)	Data 0.001 (0.007)	Loss 2.3667 (2.5324)	Prec@1 39.000 (38.101)	Prec@5 71.000 (68.934)
Epoch: [20][390/9018]	Time 0.601 (0.618)	Data 0.003 (0.007)	Loss 2.5141 (2.5309)	Prec@1 35.500 (38.121)	Prec@5 72.000 (68.949)
Epoch: [20][400/9018]	Time 0.613 (0.617)	Data 0.001 (0.006)	Loss 2.6404 (2.5319)	Prec@1 40.000 (38.100)	Prec@5 65.500 (68.940)
Epoch: [20][410/9018]	Time 0.595 (0.618)	Data 0.001 (0.006)	Loss 2.3796 (2.5313)	Prec@1 40.000 (38.107)	Prec@5 72.500 (68.912)
Epoch: [20][420/9018]	Time 0.597 (0.617)	Data 0.001 (0.006)	Loss 2.5631 (2.5306)	Prec@1 33.000 (38.086)	Prec@5 67.500 (68.945)
Epoch: [20][430/9018]	Time 0.603 (0.617)	Data 0.001 (0.006)	Loss 2.5714 (2.5323)	Prec@1 36.500 (38.039)	Prec@5 70.500 (68.933)
Epoch: [20][440/9018]	Time 0.619 (0.617)	Data 0.001 (0.006)	Loss 2.3641 (2.5303)	Prec@1 38.000 (38.046)	Prec@5 70.000 (68.968)
Epoch: [20][450/9018]	Time 0.605 (0.618)	Data 0.001 (0.006)	Loss 2.9069 (2.5299)	Prec@1 32.500 (38.068)	Prec@5 61.000 (68.963)
Epoch: [20][460/9018]	Time 0.597 (0.618)	Data 0.001 (0.006)	Loss 2.5462 (2.5295)	Prec@1 34.500 (38.059)	Prec@5 71.500 (68.966)
Epoch: [20][470/9018]	Time 0.603 (0.617)	Data 0.001 (0.006)	Loss 2.6271 (2.5293)	Prec@1 41.500 (38.076)	Prec@5 63.500 (68.951)
Epoch: [20][480/9018]	Time 0.630 (0.617)	Data 0.001 (0.005)	Loss 2.5034 (2.5299)	Prec@1 36.500 (38.051)	Prec@5 68.500 (68.916)
Epoch: [20][490/9018]	Time 0.619 (0.617)	Data 0.001 (0.005)	Loss 2.7148 (2.5300)	Prec@1 38.000 (38.089)	Prec@5 64.500 (68.887)
Epoch: [20][500/9018]	Time 0.620 (0.617)	Data 0.001 (0.005)	Loss 2.4887 (2.5308)	Prec@1 40.500 (38.071)	Prec@5 64.500 (68.874)
Epoch: [20][510/9018]	Time 0.598 (0.617)	Data 0.001 (0.005)	Loss 2.4843 (2.5307)	Prec@1 41.500 (38.081)	Prec@5 67.500 (68.881)
Epoch: [20][520/9018]	Time 0.600 (0.617)	Data 0.001 (0.005)	Loss 2.8045 (2.5311)	Prec@1 34.500 (38.073)	Prec@5 63.500 (68.858)
Epoch: [20][530/9018]	Time 0.603 (0.617)	Data 0.001 (0.005)	Loss 2.6725 (2.5325)	Prec@1 39.000 (38.071)	Prec@5 64.000 (68.816)
Epoch: [20][540/9018]	Time 0.624 (0.617)	Data 0.001 (0.005)	Loss 2.4535 (2.5323)	Prec@1 40.000 (38.094)	Prec@5 69.000 (68.832)
Epoch: [20][550/9018]	Time 0.602 (0.617)	Data 0.001 (0.005)	Loss 2.5585 (2.5318)	Prec@1 38.000 (38.110)	Prec@5 68.000 (68.850)
Epoch: [20][560/9018]	Time 0.602 (0.617)	Data 0.001 (0.005)	Loss 2.3802 (2.5304)	Prec@1 44.000 (38.141)	Prec@5 70.500 (68.879)
Epoch: [20][570/9018]	Time 0.606 (0.617)	Data 0.001 (0.005)	Loss 2.5613 (2.5317)	Prec@1 38.000 (38.116)	Prec@5 66.500 (68.842)
Epoch: [20][580/9018]	Time 0.590 (0.617)	Data 0.001 (0.005)	Loss 2.4906 (2.5312)	Prec@1 39.000 (38.128)	Prec@5 69.500 (68.844)
Epoch: [20][590/9018]	Time 0.758 (0.617)	Data 0.001 (0.005)	Loss 2.5032 (2.5317)	Prec@1 39.000 (38.125)	Prec@5 69.000 (68.827)
Epoch: [20][600/9018]	Time 0.596 (0.617)	Data 0.001 (0.005)	Loss 2.5519 (2.5319)	Prec@1 36.500 (38.103)	Prec@5 70.000 (68.830)
Epoch: [20][610/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.6355 (2.5325)	Prec@1 36.500 (38.078)	Prec@5 67.500 (68.820)
Epoch: [20][620/9018]	Time 0.632 (0.617)	Data 0.001 (0.004)	Loss 2.4611 (2.5329)	Prec@1 35.500 (38.074)	Prec@5 71.000 (68.810)
Epoch: [20][630/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.4632 (2.5329)	Prec@1 35.000 (38.070)	Prec@5 71.000 (68.820)
Epoch: [20][640/9018]	Time 0.733 (0.617)	Data 0.001 (0.004)	Loss 2.6874 (2.5322)	Prec@1 32.000 (38.072)	Prec@5 69.000 (68.850)
Epoch: [20][650/9018]	Time 0.627 (0.617)	Data 0.001 (0.004)	Loss 2.4151 (2.5314)	Prec@1 39.000 (38.068)	Prec@5 70.500 (68.882)
Epoch: [20][660/9018]	Time 0.614 (0.617)	Data 0.001 (0.004)	Loss 2.6120 (2.5314)	Prec@1 35.500 (38.073)	Prec@5 65.500 (68.878)
Epoch: [20][670/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.4260 (2.5314)	Prec@1 40.000 (38.058)	Prec@5 70.500 (68.884)
Epoch: [20][680/9018]	Time 0.607 (0.617)	Data 0.001 (0.004)	Loss 2.4764 (2.5316)	Prec@1 41.500 (38.068)	Prec@5 66.000 (68.869)
Epoch: [20][690/9018]	Time 0.608 (0.617)	Data 0.001 (0.004)	Loss 2.5909 (2.5322)	Prec@1 38.000 (38.064)	Prec@5 65.000 (68.854)
Epoch: [20][700/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.3939 (2.5325)	Prec@1 41.000 (38.065)	Prec@5 73.000 (68.858)
Epoch: [20][710/9018]	Time 0.607 (0.617)	Data 0.001 (0.004)	Loss 2.6181 (2.5333)	Prec@1 37.000 (38.059)	Prec@5 66.500 (68.819)
Epoch: [20][720/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.4252 (2.5333)	Prec@1 38.500 (38.058)	Prec@5 71.000 (68.828)
Epoch: [20][730/9018]	Time 0.630 (0.617)	Data 0.001 (0.004)	Loss 2.6444 (2.5333)	Prec@1 39.500 (38.049)	Prec@5 65.000 (68.835)
Epoch: [20][740/9018]	Time 0.624 (0.617)	Data 0.001 (0.004)	Loss 2.4797 (2.5331)	Prec@1 36.500 (38.050)	Prec@5 68.000 (68.837)
Epoch: [20][750/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 2.6362 (2.5342)	Prec@1 37.500 (38.027)	Prec@5 65.000 (68.822)
Epoch: [20][760/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.4970 (2.5341)	Prec@1 37.500 (38.020)	Prec@5 65.500 (68.821)
Epoch: [20][770/9018]	Time 0.623 (0.617)	Data 0.001 (0.004)	Loss 2.5731 (2.5351)	Prec@1 38.500 (37.997)	Prec@5 65.500 (68.798)
Epoch: [20][780/9018]	Time 0.594 (0.617)	Data 0.001 (0.004)	Loss 2.5041 (2.5352)	Prec@1 39.000 (37.985)	Prec@5 64.500 (68.784)
Epoch: [20][790/9018]	Time 0.591 (0.617)	Data 0.001 (0.004)	Loss 2.5453 (2.5353)	Prec@1 41.000 (37.980)	Prec@5 67.000 (68.783)
Epoch: [20][800/9018]	Time 0.609 (0.617)	Data 0.001 (0.004)	Loss 2.3783 (2.5360)	Prec@1 43.500 (37.969)	Prec@5 71.000 (68.770)
Epoch: [20][810/9018]	Time 0.609 (0.617)	Data 0.001 (0.004)	Loss 2.6956 (2.5364)	Prec@1 36.500 (37.955)	Prec@5 65.500 (68.744)
Epoch: [20][820/9018]	Time 0.609 (0.617)	Data 0.001 (0.004)	Loss 2.5752 (2.5365)	Prec@1 39.500 (37.960)	Prec@5 67.500 (68.739)
Epoch: [20][830/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.5247 (2.5363)	Prec@1 35.000 (37.965)	Prec@5 70.000 (68.748)
Epoch: [20][840/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.5932 (2.5372)	Prec@1 38.000 (37.963)	Prec@5 68.500 (68.743)
Epoch: [20][850/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.5824 (2.5374)	Prec@1 35.500 (37.953)	Prec@5 66.500 (68.741)
Epoch: [20][860/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 2.6093 (2.5378)	Prec@1 36.500 (37.940)	Prec@5 69.000 (68.735)
Epoch: [20][870/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 2.5640 (2.5378)	Prec@1 38.000 (37.935)	Prec@5 70.000 (68.725)
Epoch: [20][880/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.7466 (2.5376)	Prec@1 40.000 (37.944)	Prec@5 65.000 (68.737)
Epoch: [20][890/9018]	Time 0.592 (0.617)	Data 0.001 (0.003)	Loss 2.4643 (2.5371)	Prec@1 38.000 (37.955)	Prec@5 69.000 (68.746)
Epoch: [20][900/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 2.2802 (2.5364)	Prec@1 38.500 (37.962)	Prec@5 77.000 (68.764)
Epoch: [20][910/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.5994 (2.5372)	Prec@1 39.000 (37.964)	Prec@5 67.500 (68.739)
Epoch: [20][920/9018]	Time 0.733 (0.617)	Data 0.001 (0.003)	Loss 2.6960 (2.5375)	Prec@1 33.000 (37.952)	Prec@5 68.500 (68.734)
Epoch: [20][930/9018]	Time 0.590 (0.616)	Data 0.001 (0.003)	Loss 2.2693 (2.5367)	Prec@1 42.500 (37.978)	Prec@5 74.500 (68.734)
Epoch: [20][940/9018]	Time 0.617 (0.616)	Data 0.001 (0.003)	Loss 2.5789 (2.5367)	Prec@1 33.500 (37.976)	Prec@5 69.000 (68.733)
Epoch: [20][950/9018]	Time 0.638 (0.616)	Data 0.001 (0.003)	Loss 2.6497 (2.5369)	Prec@1 35.000 (37.963)	Prec@5 66.500 (68.725)
Epoch: [20][960/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.6184 (2.5369)	Prec@1 39.500 (37.967)	Prec@5 65.500 (68.720)
Epoch: [20][970/9018]	Time 0.741 (0.616)	Data 0.001 (0.003)	Loss 2.6372 (2.5375)	Prec@1 35.500 (37.965)	Prec@5 66.500 (68.700)
Epoch: [20][980/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.6322 (2.5377)	Prec@1 39.500 (37.966)	Prec@5 67.500 (68.705)
Epoch: [20][990/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.6706 (2.5389)	Prec@1 37.500 (37.941)	Prec@5 65.500 (68.685)
Epoch: [20][1000/9018]	Time 0.613 (0.616)	Data 0.001 (0.003)	Loss 2.5447 (2.5394)	Prec@1 37.000 (37.924)	Prec@5 67.000 (68.676)
Epoch: [20][1010/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.5933 (2.5399)	Prec@1 31.000 (37.914)	Prec@5 72.500 (68.672)
Epoch: [20][1020/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.7426 (2.5395)	Prec@1 35.500 (37.923)	Prec@5 65.500 (68.679)
Epoch: [20][1030/9018]	Time 0.614 (0.616)	Data 0.001 (0.003)	Loss 2.5333 (2.5402)	Prec@1 35.500 (37.910)	Prec@5 75.500 (68.668)
Epoch: [20][1040/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.6020 (2.5403)	Prec@1 32.000 (37.910)	Prec@5 66.000 (68.659)
Epoch: [20][1050/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.5416 (2.5398)	Prec@1 35.500 (37.919)	Prec@5 69.000 (68.675)
Epoch: [20][1060/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.3022 (2.5396)	Prec@1 41.500 (37.919)	Prec@5 74.000 (68.675)
Epoch: [20][1070/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.4631 (2.5397)	Prec@1 38.000 (37.915)	Prec@5 70.500 (68.674)
Epoch: [20][1080/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.6299 (2.5394)	Prec@1 35.500 (37.918)	Prec@5 68.500 (68.678)
Epoch: [20][1090/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.4157 (2.5402)	Prec@1 42.000 (37.911)	Prec@5 70.500 (68.658)
Epoch: [20][1100/9018]	Time 0.630 (0.616)	Data 0.001 (0.003)	Loss 2.4958 (2.5402)	Prec@1 37.500 (37.914)	Prec@5 67.500 (68.658)
Epoch: [20][1110/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.1534 (2.5391)	Prec@1 45.000 (37.932)	Prec@5 75.500 (68.685)
Epoch: [20][1120/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.4557 (2.5396)	Prec@1 37.500 (37.925)	Prec@5 70.000 (68.676)
Epoch: [20][1130/9018]	Time 0.646 (0.616)	Data 0.001 (0.003)	Loss 2.4622 (2.5401)	Prec@1 40.000 (37.915)	Prec@5 73.000 (68.658)
Epoch: [20][1140/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.6170 (2.5398)	Prec@1 39.000 (37.919)	Prec@5 67.500 (68.665)
Epoch: [20][1150/9018]	Time 0.624 (0.616)	Data 0.001 (0.003)	Loss 2.3799 (2.5398)	Prec@1 45.000 (37.922)	Prec@5 74.000 (68.654)
Epoch: [20][1160/9018]	Time 0.646 (0.616)	Data 0.001 (0.003)	Loss 2.6495 (2.5396)	Prec@1 38.000 (37.925)	Prec@5 66.500 (68.667)
Epoch: [20][1170/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 2.6140 (2.5402)	Prec@1 34.500 (37.920)	Prec@5 67.000 (68.657)
Epoch: [20][1180/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.6746 (2.5408)	Prec@1 36.500 (37.913)	Prec@5 66.500 (68.644)
Epoch: [20][1190/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.6820 (2.5410)	Prec@1 37.000 (37.908)	Prec@5 67.500 (68.652)
Epoch: [20][1200/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 2.5110 (2.5407)	Prec@1 43.000 (37.917)	Prec@5 68.500 (68.665)
Epoch: [20][1210/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.7319 (2.5414)	Prec@1 36.000 (37.894)	Prec@5 64.500 (68.640)
Epoch: [20][1220/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.6315 (2.5415)	Prec@1 34.500 (37.883)	Prec@5 68.000 (68.642)
Epoch: [20][1230/9018]	Time 0.632 (0.616)	Data 0.001 (0.003)	Loss 2.6680 (2.5419)	Prec@1 32.000 (37.878)	Prec@5 69.000 (68.641)
Epoch: [20][1240/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.5614 (2.5422)	Prec@1 37.500 (37.874)	Prec@5 67.500 (68.631)
Epoch: [20][1250/9018]	Time 0.746 (0.616)	Data 0.001 (0.003)	Loss 2.5663 (2.5423)	Prec@1 39.500 (37.874)	Prec@5 65.500 (68.631)
Epoch: [20][1260/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.4235 (2.5430)	Prec@1 39.000 (37.873)	Prec@5 70.000 (68.618)
Epoch: [20][1270/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 2.8202 (2.5431)	Prec@1 33.000 (37.867)	Prec@5 63.000 (68.616)
Epoch: [20][1280/9018]	Time 0.632 (0.616)	Data 0.001 (0.003)	Loss 2.8361 (2.5434)	Prec@1 35.500 (37.852)	Prec@5 63.500 (68.614)
Epoch: [20][1290/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.4824 (2.5432)	Prec@1 39.000 (37.856)	Prec@5 70.500 (68.621)
Epoch: [20][1300/9018]	Time 0.708 (0.616)	Data 0.001 (0.002)	Loss 2.7371 (2.5431)	Prec@1 35.000 (37.863)	Prec@5 62.500 (68.625)
Epoch: [20][1310/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3270 (2.5428)	Prec@1 41.500 (37.865)	Prec@5 77.500 (68.638)
Epoch: [20][1320/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.9768 (2.5426)	Prec@1 31.000 (37.863)	Prec@5 59.000 (68.639)
Epoch: [20][1330/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.5090 (2.5428)	Prec@1 37.500 (37.870)	Prec@5 68.000 (68.636)
Epoch: [20][1340/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.7503 (2.5434)	Prec@1 33.000 (37.852)	Prec@5 61.000 (68.626)
Epoch: [20][1350/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6764 (2.5432)	Prec@1 36.000 (37.862)	Prec@5 61.500 (68.627)
Epoch: [20][1360/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.6010 (2.5428)	Prec@1 37.500 (37.870)	Prec@5 66.500 (68.632)
Epoch: [20][1370/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5816 (2.5431)	Prec@1 35.500 (37.861)	Prec@5 66.000 (68.623)
Epoch: [20][1380/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.7409 (2.5426)	Prec@1 33.000 (37.872)	Prec@5 64.000 (68.632)
Epoch: [20][1390/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.8930 (2.5427)	Prec@1 32.500 (37.884)	Prec@5 65.500 (68.630)
Epoch: [20][1400/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.3803 (2.5424)	Prec@1 37.500 (37.889)	Prec@5 70.000 (68.638)
Epoch: [20][1410/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.4915 (2.5425)	Prec@1 37.500 (37.867)	Prec@5 68.500 (68.638)
Epoch: [20][1420/9018]	Time 0.600 (0.616)	Data 0.002 (0.002)	Loss 2.6528 (2.5428)	Prec@1 38.500 (37.865)	Prec@5 70.500 (68.636)
Epoch: [20][1430/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.5049 (2.5432)	Prec@1 41.500 (37.866)	Prec@5 69.000 (68.626)
Epoch: [20][1440/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.4881 (2.5434)	Prec@1 37.000 (37.863)	Prec@5 70.000 (68.625)
Epoch: [20][1450/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.7091 (2.5436)	Prec@1 33.500 (37.856)	Prec@5 65.500 (68.626)
Epoch: [20][1460/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.4834 (2.5433)	Prec@1 38.500 (37.859)	Prec@5 65.500 (68.631)
Epoch: [20][1470/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5791 (2.5434)	Prec@1 40.000 (37.860)	Prec@5 71.000 (68.636)
Epoch: [20][1480/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.3971 (2.5435)	Prec@1 36.500 (37.849)	Prec@5 76.500 (68.641)
Epoch: [20][1490/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4946 (2.5437)	Prec@1 38.000 (37.847)	Prec@5 71.500 (68.637)
Epoch: [20][1500/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.3884 (2.5435)	Prec@1 41.000 (37.844)	Prec@5 71.000 (68.639)
Epoch: [20][1510/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.5307 (2.5437)	Prec@1 35.000 (37.835)	Prec@5 68.500 (68.636)
Epoch: [20][1520/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4889 (2.5436)	Prec@1 38.500 (37.834)	Prec@5 72.500 (68.635)
Epoch: [20][1530/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.4932 (2.5433)	Prec@1 37.000 (37.839)	Prec@5 71.000 (68.652)
Epoch: [20][1540/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5559 (2.5433)	Prec@1 38.000 (37.840)	Prec@5 69.500 (68.654)
Epoch: [20][1550/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5489 (2.5431)	Prec@1 40.000 (37.844)	Prec@5 67.000 (68.654)
Epoch: [20][1560/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.5492 (2.5432)	Prec@1 41.000 (37.845)	Prec@5 71.500 (68.656)
Epoch: [20][1570/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4985 (2.5434)	Prec@1 37.000 (37.843)	Prec@5 66.500 (68.657)
Epoch: [20][1580/9018]	Time 0.721 (0.616)	Data 0.001 (0.002)	Loss 2.5860 (2.5434)	Prec@1 40.500 (37.846)	Prec@5 72.500 (68.660)
Epoch: [20][1590/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.6488 (2.5434)	Prec@1 33.500 (37.838)	Prec@5 63.000 (68.655)
Epoch: [20][1600/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5263 (2.5432)	Prec@1 40.500 (37.840)	Prec@5 70.000 (68.668)
Epoch: [20][1610/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.7770 (2.5432)	Prec@1 30.500 (37.841)	Prec@5 64.000 (68.666)
Epoch: [20][1620/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4122 (2.5424)	Prec@1 37.500 (37.856)	Prec@5 66.500 (68.678)
Epoch: [20][1630/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 2.1034 (2.5422)	Prec@1 48.500 (37.870)	Prec@5 75.000 (68.682)
Epoch: [20][1640/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.7069 (2.5425)	Prec@1 34.000 (37.867)	Prec@5 63.000 (68.667)
Epoch: [20][1650/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5228 (2.5427)	Prec@1 41.500 (37.851)	Prec@5 68.500 (68.662)
Epoch: [20][1660/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.3286 (2.5425)	Prec@1 42.000 (37.854)	Prec@5 73.500 (68.667)
Epoch: [20][1670/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4842 (2.5423)	Prec@1 36.500 (37.858)	Prec@5 71.500 (68.676)
Epoch: [20][1680/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6000 (2.5423)	Prec@1 36.500 (37.859)	Prec@5 66.500 (68.674)
Epoch: [20][1690/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6728 (2.5423)	Prec@1 42.000 (37.869)	Prec@5 67.000 (68.675)
Epoch: [20][1700/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.7015 (2.5426)	Prec@1 35.000 (37.869)	Prec@5 62.000 (68.672)
Epoch: [20][1710/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.5987 (2.5425)	Prec@1 33.000 (37.868)	Prec@5 67.500 (68.671)
Epoch: [20][1720/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.8418 (2.5432)	Prec@1 32.500 (37.855)	Prec@5 60.500 (68.663)
Epoch: [20][1730/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.6298 (2.5431)	Prec@1 32.500 (37.851)	Prec@5 66.500 (68.655)
Epoch: [20][1740/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4409 (2.5432)	Prec@1 40.500 (37.848)	Prec@5 67.000 (68.654)
Epoch: [20][1750/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4371 (2.5433)	Prec@1 38.500 (37.842)	Prec@5 70.000 (68.651)
Epoch: [20][1760/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.4869 (2.5434)	Prec@1 40.000 (37.840)	Prec@5 70.000 (68.647)
Epoch: [20][1770/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1308 (2.5432)	Prec@1 52.500 (37.847)	Prec@5 79.000 (68.656)
Epoch: [20][1780/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6900 (2.5434)	Prec@1 33.000 (37.851)	Prec@5 65.500 (68.651)
Epoch: [20][1790/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5685 (2.5437)	Prec@1 35.000 (37.843)	Prec@5 68.500 (68.645)
Epoch: [20][1800/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5766 (2.5436)	Prec@1 34.000 (37.843)	Prec@5 70.000 (68.646)
Epoch: [20][1810/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.6462 (2.5434)	Prec@1 38.500 (37.845)	Prec@5 68.000 (68.651)
Epoch: [20][1820/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4809 (2.5433)	Prec@1 42.500 (37.846)	Prec@5 69.000 (68.657)
Epoch: [20][1830/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6001 (2.5431)	Prec@1 41.500 (37.851)	Prec@5 68.000 (68.663)
Epoch: [20][1840/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.5807 (2.5430)	Prec@1 36.500 (37.853)	Prec@5 65.500 (68.668)
Epoch: [20][1850/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6006 (2.5433)	Prec@1 39.500 (37.851)	Prec@5 66.500 (68.663)
Epoch: [20][1860/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4044 (2.5433)	Prec@1 43.500 (37.858)	Prec@5 71.500 (68.662)
Epoch: [20][1870/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.7253 (2.5432)	Prec@1 31.000 (37.859)	Prec@5 67.500 (68.667)
Epoch: [20][1880/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5750 (2.5431)	Prec@1 39.000 (37.860)	Prec@5 68.500 (68.669)
Epoch: [20][1890/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6877 (2.5434)	Prec@1 37.000 (37.852)	Prec@5 64.500 (68.665)
Epoch: [20][1900/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4880 (2.5436)	Prec@1 40.000 (37.851)	Prec@5 71.500 (68.660)
Epoch: [20][1910/9018]	Time 0.733 (0.616)	Data 0.001 (0.002)	Loss 2.4621 (2.5435)	Prec@1 43.000 (37.849)	Prec@5 69.000 (68.665)
Epoch: [20][1920/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.5261 (2.5437)	Prec@1 38.500 (37.849)	Prec@5 69.000 (68.661)
Epoch: [20][1930/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4584 (2.5438)	Prec@1 35.500 (37.842)	Prec@5 72.000 (68.664)
Epoch: [20][1940/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.5041 (2.5441)	Prec@1 37.500 (37.836)	Prec@5 69.000 (68.660)
Epoch: [20][1950/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5432 (2.5442)	Prec@1 39.000 (37.834)	Prec@5 63.500 (68.654)
Epoch: [20][1960/9018]	Time 0.753 (0.616)	Data 0.001 (0.002)	Loss 2.7592 (2.5443)	Prec@1 34.500 (37.842)	Prec@5 63.500 (68.649)
Epoch: [20][1970/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.6054 (2.5444)	Prec@1 35.000 (37.836)	Prec@5 67.000 (68.652)
Epoch: [20][1980/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5667 (2.5445)	Prec@1 33.500 (37.836)	Prec@5 67.500 (68.651)
Epoch: [20][1990/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.4445 (2.5443)	Prec@1 39.500 (37.841)	Prec@5 71.000 (68.655)
Epoch: [20][2000/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8738 (2.5444)	Prec@1 32.500 (37.842)	Prec@5 63.500 (68.649)
Epoch: [20][2010/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.5397 (2.5447)	Prec@1 39.500 (37.834)	Prec@5 71.000 (68.645)
Epoch: [20][2020/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.5782 (2.5449)	Prec@1 33.000 (37.828)	Prec@5 68.000 (68.639)
Epoch: [20][2030/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.6872 (2.5449)	Prec@1 32.500 (37.828)	Prec@5 64.500 (68.642)
Epoch: [20][2040/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5551 (2.5448)	Prec@1 36.000 (37.834)	Prec@5 68.000 (68.643)
Epoch: [20][2050/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.3299 (2.5449)	Prec@1 42.500 (37.828)	Prec@5 72.000 (68.639)
Epoch: [20][2060/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.6032 (2.5453)	Prec@1 40.500 (37.819)	Prec@5 67.500 (68.631)
Epoch: [20][2070/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7344 (2.5456)	Prec@1 37.000 (37.809)	Prec@5 66.500 (68.627)
Epoch: [20][2080/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5106 (2.5454)	Prec@1 39.500 (37.813)	Prec@5 69.000 (68.632)
Epoch: [20][2090/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.4524 (2.5453)	Prec@1 38.500 (37.809)	Prec@5 70.000 (68.636)
Epoch: [20][2100/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4302 (2.5450)	Prec@1 42.500 (37.814)	Prec@5 72.000 (68.639)
Epoch: [20][2110/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5416 (2.5454)	Prec@1 39.000 (37.810)	Prec@5 71.000 (68.635)
Epoch: [20][2120/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5965 (2.5454)	Prec@1 37.000 (37.813)	Prec@5 66.500 (68.635)
Epoch: [20][2130/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6093 (2.5454)	Prec@1 38.500 (37.811)	Prec@5 66.500 (68.636)
Epoch: [20][2140/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.4697 (2.5453)	Prec@1 37.000 (37.806)	Prec@5 67.500 (68.642)
Epoch: [20][2150/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5767 (2.5451)	Prec@1 33.500 (37.808)	Prec@5 67.000 (68.644)
Epoch: [20][2160/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.8615 (2.5452)	Prec@1 34.000 (37.808)	Prec@5 61.000 (68.643)
Epoch: [20][2170/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.6514 (2.5451)	Prec@1 37.000 (37.805)	Prec@5 68.000 (68.646)
Epoch: [20][2180/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5816 (2.5452)	Prec@1 38.500 (37.803)	Prec@5 69.000 (68.640)
Epoch: [20][2190/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.3443 (2.5452)	Prec@1 42.500 (37.806)	Prec@5 69.000 (68.640)
Epoch: [20][2200/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4859 (2.5453)	Prec@1 37.000 (37.802)	Prec@5 67.500 (68.639)
Epoch: [20][2210/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5058 (2.5455)	Prec@1 35.000 (37.801)	Prec@5 71.000 (68.639)
Epoch: [20][2220/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.5232 (2.5458)	Prec@1 36.000 (37.795)	Prec@5 67.000 (68.637)
Epoch: [20][2230/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.8624 (2.5460)	Prec@1 29.000 (37.794)	Prec@5 62.000 (68.636)
Epoch: [20][2240/9018]	Time 0.709 (0.616)	Data 0.001 (0.002)	Loss 2.5482 (2.5461)	Prec@1 37.000 (37.791)	Prec@5 68.000 (68.635)
Epoch: [20][2250/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3207 (2.5457)	Prec@1 43.000 (37.798)	Prec@5 69.500 (68.642)
Epoch: [20][2260/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.1990 (2.5452)	Prec@1 44.500 (37.803)	Prec@5 78.500 (68.654)
Epoch: [20][2270/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7132 (2.5451)	Prec@1 32.000 (37.801)	Prec@5 65.000 (68.660)
Epoch: [20][2280/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.7466 (2.5453)	Prec@1 37.500 (37.800)	Prec@5 65.500 (68.656)
Epoch: [20][2290/9018]	Time 0.737 (0.616)	Data 0.001 (0.002)	Loss 2.4939 (2.5453)	Prec@1 38.500 (37.806)	Prec@5 68.500 (68.656)
Epoch: [20][2300/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.5232 (2.5451)	Prec@1 41.000 (37.809)	Prec@5 68.000 (68.660)
Epoch: [20][2310/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4834 (2.5455)	Prec@1 37.500 (37.798)	Prec@5 74.500 (68.656)
Epoch: [20][2320/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.5274 (2.5457)	Prec@1 39.500 (37.796)	Prec@5 71.000 (68.652)
Epoch: [20][2330/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.6120 (2.5458)	Prec@1 35.500 (37.797)	Prec@5 69.500 (68.653)
Epoch: [20][2340/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.8171 (2.5460)	Prec@1 30.500 (37.789)	Prec@5 66.000 (68.655)
Epoch: [20][2350/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.6738 (2.5464)	Prec@1 31.000 (37.781)	Prec@5 69.000 (68.646)
Epoch: [20][2360/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.5816 (2.5463)	Prec@1 36.500 (37.774)	Prec@5 70.500 (68.650)
Epoch: [20][2370/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4480 (2.5461)	Prec@1 38.500 (37.775)	Prec@5 68.000 (68.653)
Epoch: [20][2380/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6083 (2.5460)	Prec@1 38.000 (37.779)	Prec@5 68.000 (68.652)
Epoch: [20][2390/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.4162 (2.5459)	Prec@1 41.500 (37.779)	Prec@5 71.500 (68.651)
Epoch: [20][2400/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4957 (2.5456)	Prec@1 37.000 (37.778)	Prec@5 70.500 (68.657)
Epoch: [20][2410/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5292 (2.5455)	Prec@1 38.000 (37.777)	Prec@5 70.000 (68.660)
Epoch: [20][2420/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.6185 (2.5452)	Prec@1 33.000 (37.780)	Prec@5 68.500 (68.667)
Epoch: [20][2430/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.6505 (2.5454)	Prec@1 35.000 (37.777)	Prec@5 64.500 (68.660)
Epoch: [20][2440/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.5985 (2.5456)	Prec@1 40.500 (37.773)	Prec@5 71.500 (68.655)
Epoch: [20][2450/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4922 (2.5458)	Prec@1 40.000 (37.777)	Prec@5 70.000 (68.655)
Epoch: [20][2460/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6322 (2.5456)	Prec@1 31.500 (37.778)	Prec@5 65.500 (68.658)
Epoch: [20][2470/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.4759 (2.5458)	Prec@1 38.500 (37.775)	Prec@5 68.500 (68.650)
Epoch: [20][2480/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.5746 (2.5458)	Prec@1 38.000 (37.773)	Prec@5 67.000 (68.653)
Epoch: [20][2490/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.5845 (2.5459)	Prec@1 37.000 (37.773)	Prec@5 67.000 (68.650)
Epoch: [20][2500/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4940 (2.5458)	Prec@1 41.000 (37.775)	Prec@5 70.000 (68.650)
Epoch: [20][2510/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5408 (2.5457)	Prec@1 38.000 (37.778)	Prec@5 70.500 (68.651)
Epoch: [20][2520/9018]	Time 0.638 (0.615)	Data 0.001 (0.002)	Loss 2.4931 (2.5456)	Prec@1 41.000 (37.780)	Prec@5 68.500 (68.657)
Epoch: [20][2530/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4476 (2.5454)	Prec@1 42.000 (37.783)	Prec@5 72.000 (68.660)
Epoch: [20][2540/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6314 (2.5455)	Prec@1 37.500 (37.783)	Prec@5 66.000 (68.656)
Epoch: [20][2550/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5206 (2.5455)	Prec@1 41.000 (37.781)	Prec@5 69.500 (68.651)
Epoch: [20][2560/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5774 (2.5457)	Prec@1 39.500 (37.777)	Prec@5 67.000 (68.647)
Epoch: [20][2570/9018]	Time 0.738 (0.615)	Data 0.001 (0.002)	Loss 2.9330 (2.5459)	Prec@1 33.000 (37.770)	Prec@5 60.000 (68.644)
Epoch: [20][2580/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5408 (2.5458)	Prec@1 42.500 (37.774)	Prec@5 71.000 (68.649)
Epoch: [20][2590/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7157 (2.5458)	Prec@1 36.500 (37.774)	Prec@5 65.000 (68.649)
Epoch: [20][2600/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.8364 (2.5461)	Prec@1 32.500 (37.766)	Prec@5 66.500 (68.645)
Epoch: [20][2610/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7643 (2.5461)	Prec@1 31.000 (37.757)	Prec@5 64.000 (68.643)
Epoch: [20][2620/9018]	Time 0.722 (0.615)	Data 0.001 (0.002)	Loss 2.5511 (2.5461)	Prec@1 33.000 (37.757)	Prec@5 72.500 (68.646)
Epoch: [20][2630/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.7208 (2.5461)	Prec@1 36.500 (37.756)	Prec@5 61.500 (68.645)
Epoch: [20][2640/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.4916 (2.5462)	Prec@1 36.000 (37.753)	Prec@5 71.000 (68.644)
Epoch: [20][2650/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.5425 (2.5461)	Prec@1 39.500 (37.757)	Prec@5 70.000 (68.644)
Epoch: [20][2660/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5739 (2.5463)	Prec@1 39.000 (37.755)	Prec@5 69.500 (68.638)
Epoch: [20][2670/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.2201 (2.5465)	Prec@1 43.000 (37.749)	Prec@5 71.000 (68.634)
Epoch: [20][2680/9018]	Time 0.606 (0.615)	Data 0.002 (0.002)	Loss 2.6279 (2.5466)	Prec@1 32.000 (37.749)	Prec@5 71.000 (68.632)
Epoch: [20][2690/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.3501 (2.5464)	Prec@1 43.000 (37.753)	Prec@5 71.500 (68.633)
Epoch: [20][2700/9018]	Time 0.641 (0.615)	Data 0.001 (0.002)	Loss 2.5907 (2.5465)	Prec@1 40.500 (37.749)	Prec@5 67.500 (68.633)
Epoch: [20][2710/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7551 (2.5465)	Prec@1 31.500 (37.744)	Prec@5 62.000 (68.629)
Epoch: [20][2720/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4669 (2.5465)	Prec@1 42.500 (37.750)	Prec@5 70.500 (68.630)
Epoch: [20][2730/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.4084 (2.5460)	Prec@1 42.500 (37.758)	Prec@5 72.000 (68.640)
Epoch: [20][2740/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4186 (2.5460)	Prec@1 43.000 (37.764)	Prec@5 71.000 (68.638)
Epoch: [20][2750/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.5665 (2.5459)	Prec@1 35.500 (37.768)	Prec@5 72.000 (68.640)
Epoch: [20][2760/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4239 (2.5461)	Prec@1 39.500 (37.763)	Prec@5 67.000 (68.633)
Epoch: [20][2770/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.3562 (2.5459)	Prec@1 41.500 (37.764)	Prec@5 73.500 (68.637)
Epoch: [20][2780/9018]	Time 0.648 (0.615)	Data 0.001 (0.002)	Loss 2.5903 (2.5459)	Prec@1 35.500 (37.761)	Prec@5 65.000 (68.639)
Epoch: [20][2790/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.4427 (2.5459)	Prec@1 44.500 (37.759)	Prec@5 73.500 (68.641)
Epoch: [20][2800/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.6009 (2.5463)	Prec@1 36.000 (37.754)	Prec@5 69.000 (68.637)
Epoch: [20][2810/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.5159 (2.5462)	Prec@1 40.500 (37.753)	Prec@5 69.500 (68.644)
Epoch: [20][2820/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.2939 (2.5461)	Prec@1 40.000 (37.753)	Prec@5 74.000 (68.649)
Epoch: [20][2830/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.7915 (2.5464)	Prec@1 33.500 (37.746)	Prec@5 63.500 (68.640)
Epoch: [20][2840/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.7188 (2.5464)	Prec@1 35.500 (37.748)	Prec@5 65.000 (68.643)
Epoch: [20][2850/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.4429 (2.5462)	Prec@1 39.500 (37.753)	Prec@5 71.000 (68.647)
Epoch: [20][2860/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.3528 (2.5463)	Prec@1 41.000 (37.748)	Prec@5 75.500 (68.646)
Epoch: [20][2870/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4581 (2.5464)	Prec@1 43.000 (37.747)	Prec@5 70.000 (68.646)
Epoch: [20][2880/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.9407 (2.5467)	Prec@1 33.000 (37.740)	Prec@5 58.000 (68.641)
Epoch: [20][2890/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.3165 (2.5468)	Prec@1 44.000 (37.741)	Prec@5 73.500 (68.637)
Epoch: [20][2900/9018]	Time 0.744 (0.615)	Data 0.001 (0.002)	Loss 2.6102 (2.5468)	Prec@1 32.000 (37.738)	Prec@5 69.000 (68.637)
Epoch: [20][2910/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.5083 (2.5468)	Prec@1 38.500 (37.740)	Prec@5 72.000 (68.642)
Epoch: [20][2920/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.3569 (2.5468)	Prec@1 41.000 (37.736)	Prec@5 71.000 (68.645)
Epoch: [20][2930/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.5375 (2.5469)	Prec@1 40.500 (37.734)	Prec@5 68.500 (68.640)
Epoch: [20][2940/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7845 (2.5469)	Prec@1 37.500 (37.732)	Prec@5 61.000 (68.638)
Epoch: [20][2950/9018]	Time 0.747 (0.615)	Data 0.001 (0.002)	Loss 2.5793 (2.5468)	Prec@1 39.000 (37.737)	Prec@5 70.000 (68.643)
Epoch: [20][2960/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.3793 (2.5466)	Prec@1 41.500 (37.747)	Prec@5 70.500 (68.649)
Epoch: [20][2970/9018]	Time 0.639 (0.615)	Data 0.001 (0.002)	Loss 2.6704 (2.5466)	Prec@1 38.500 (37.751)	Prec@5 65.000 (68.653)
Epoch: [20][2980/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.6630 (2.5466)	Prec@1 35.500 (37.753)	Prec@5 65.000 (68.649)
Epoch: [20][2990/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.6613 (2.5464)	Prec@1 35.000 (37.751)	Prec@5 65.000 (68.648)
Epoch: [20][3000/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.6923 (2.5463)	Prec@1 33.000 (37.752)	Prec@5 66.500 (68.653)
Epoch: [20][3010/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.4789 (2.5464)	Prec@1 39.500 (37.751)	Prec@5 70.500 (68.652)
Epoch: [20][3020/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6534 (2.5464)	Prec@1 35.000 (37.748)	Prec@5 64.000 (68.650)
Epoch: [20][3030/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.6848 (2.5465)	Prec@1 31.500 (37.746)	Prec@5 68.000 (68.649)
Epoch: [20][3040/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5523 (2.5465)	Prec@1 36.000 (37.749)	Prec@5 69.000 (68.649)
Epoch: [20][3050/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.6273 (2.5466)	Prec@1 33.000 (37.746)	Prec@5 68.000 (68.647)
Epoch: [20][3060/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.4191 (2.5465)	Prec@1 43.000 (37.745)	Prec@5 74.000 (68.652)
Epoch: [20][3070/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6203 (2.5465)	Prec@1 40.000 (37.747)	Prec@5 66.500 (68.650)
Epoch: [20][3080/9018]	Time 0.638 (0.615)	Data 0.001 (0.002)	Loss 2.4906 (2.5465)	Prec@1 41.000 (37.743)	Prec@5 64.000 (68.649)
Epoch: [20][3090/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5796 (2.5465)	Prec@1 36.000 (37.744)	Prec@5 68.000 (68.646)
Epoch: [20][3100/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.2890 (2.5463)	Prec@1 37.000 (37.749)	Prec@5 74.000 (68.648)
Epoch: [20][3110/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8311 (2.5464)	Prec@1 33.000 (37.750)	Prec@5 64.500 (68.648)
Epoch: [20][3120/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3625 (2.5464)	Prec@1 42.500 (37.752)	Prec@5 72.000 (68.643)
Epoch: [20][3130/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6320 (2.5462)	Prec@1 32.500 (37.755)	Prec@5 65.000 (68.644)
Epoch: [20][3140/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6626 (2.5464)	Prec@1 34.500 (37.752)	Prec@5 66.000 (68.643)
Epoch: [20][3150/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4177 (2.5464)	Prec@1 38.500 (37.759)	Prec@5 75.000 (68.646)
Epoch: [20][3160/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4006 (2.5461)	Prec@1 34.000 (37.768)	Prec@5 69.500 (68.652)
Epoch: [20][3170/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5738 (2.5462)	Prec@1 38.000 (37.766)	Prec@5 69.000 (68.646)
Epoch: [20][3180/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4263 (2.5464)	Prec@1 41.500 (37.762)	Prec@5 74.500 (68.647)
Epoch: [20][3190/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6439 (2.5463)	Prec@1 37.500 (37.764)	Prec@5 68.500 (68.647)
Epoch: [20][3200/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7403 (2.5462)	Prec@1 33.500 (37.763)	Prec@5 65.000 (68.648)
Epoch: [20][3210/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4607 (2.5462)	Prec@1 38.000 (37.764)	Prec@5 72.000 (68.649)
Epoch: [20][3220/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6031 (2.5461)	Prec@1 37.500 (37.770)	Prec@5 68.500 (68.648)
Epoch: [20][3230/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.4583 (2.5460)	Prec@1 39.500 (37.775)	Prec@5 68.500 (68.649)
Epoch: [20][3240/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5663 (2.5459)	Prec@1 35.500 (37.779)	Prec@5 70.500 (68.652)
Epoch: [20][3250/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5581 (2.5458)	Prec@1 35.000 (37.779)	Prec@5 69.000 (68.652)
Epoch: [20][3260/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6568 (2.5459)	Prec@1 34.500 (37.781)	Prec@5 68.500 (68.649)
Epoch: [20][3270/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4283 (2.5457)	Prec@1 44.500 (37.784)	Prec@5 71.500 (68.650)
Epoch: [20][3280/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.7136 (2.5459)	Prec@1 36.000 (37.781)	Prec@5 66.000 (68.650)
Epoch: [20][3290/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5296 (2.5459)	Prec@1 39.000 (37.780)	Prec@5 70.000 (68.648)
Epoch: [20][3300/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5266 (2.5460)	Prec@1 33.500 (37.778)	Prec@5 65.000 (68.644)
Epoch: [20][3310/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7066 (2.5462)	Prec@1 32.500 (37.770)	Prec@5 66.000 (68.642)
Epoch: [20][3320/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3923 (2.5464)	Prec@1 39.000 (37.768)	Prec@5 73.500 (68.639)
Epoch: [20][3330/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3682 (2.5463)	Prec@1 39.000 (37.772)	Prec@5 70.500 (68.641)
Epoch: [20][3340/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.3990 (2.5460)	Prec@1 44.500 (37.784)	Prec@5 72.000 (68.648)
Epoch: [20][3350/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5301 (2.5461)	Prec@1 36.500 (37.779)	Prec@5 68.500 (68.644)
Epoch: [20][3360/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5482 (2.5464)	Prec@1 36.000 (37.773)	Prec@5 66.000 (68.638)
Epoch: [20][3370/9018]	Time 0.653 (0.615)	Data 0.001 (0.001)	Loss 2.2911 (2.5463)	Prec@1 41.500 (37.774)	Prec@5 73.000 (68.640)
Epoch: [20][3380/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4579 (2.5464)	Prec@1 41.500 (37.772)	Prec@5 69.500 (68.641)
Epoch: [20][3390/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5377 (2.5463)	Prec@1 36.000 (37.772)	Prec@5 68.500 (68.645)
Epoch: [20][3400/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6060 (2.5464)	Prec@1 34.000 (37.773)	Prec@5 66.000 (68.637)
Epoch: [20][3410/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5345 (2.5465)	Prec@1 37.000 (37.775)	Prec@5 70.500 (68.636)
Epoch: [20][3420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2936 (2.5466)	Prec@1 44.500 (37.775)	Prec@5 70.500 (68.634)
Epoch: [20][3430/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.8012 (2.5468)	Prec@1 35.500 (37.770)	Prec@5 65.000 (68.629)
Epoch: [20][3440/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5085 (2.5470)	Prec@1 36.500 (37.768)	Prec@5 67.500 (68.621)
Epoch: [20][3450/9018]	Time 0.654 (0.615)	Data 0.001 (0.001)	Loss 2.4738 (2.5469)	Prec@1 38.000 (37.770)	Prec@5 70.000 (68.622)
Epoch: [20][3460/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5446 (2.5470)	Prec@1 38.500 (37.767)	Prec@5 72.000 (68.624)
Epoch: [20][3470/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5298 (2.5469)	Prec@1 42.000 (37.771)	Prec@5 74.000 (68.628)
Epoch: [20][3480/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7239 (2.5470)	Prec@1 36.000 (37.771)	Prec@5 65.500 (68.629)
Epoch: [20][3490/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4591 (2.5470)	Prec@1 38.000 (37.770)	Prec@5 69.500 (68.630)
Epoch: [20][3500/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6515 (2.5471)	Prec@1 31.000 (37.764)	Prec@5 69.500 (68.632)
Epoch: [20][3510/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4208 (2.5469)	Prec@1 36.500 (37.762)	Prec@5 70.500 (68.635)
Epoch: [20][3520/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5774 (2.5471)	Prec@1 37.000 (37.763)	Prec@5 69.500 (68.629)
Epoch: [20][3530/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4823 (2.5471)	Prec@1 36.500 (37.759)	Prec@5 71.000 (68.627)
Epoch: [20][3540/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6453 (2.5473)	Prec@1 37.500 (37.758)	Prec@5 68.500 (68.623)
Epoch: [20][3550/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8796 (2.5476)	Prec@1 30.500 (37.753)	Prec@5 60.000 (68.618)
Epoch: [20][3560/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.6168 (2.5476)	Prec@1 38.500 (37.752)	Prec@5 68.000 (68.617)
Epoch: [20][3570/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6551 (2.5476)	Prec@1 30.500 (37.752)	Prec@5 65.500 (68.620)
Epoch: [20][3580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4550 (2.5477)	Prec@1 40.000 (37.751)	Prec@5 69.500 (68.618)
Epoch: [20][3590/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4768 (2.5478)	Prec@1 39.000 (37.748)	Prec@5 72.500 (68.618)
Epoch: [20][3600/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4155 (2.5478)	Prec@1 40.000 (37.747)	Prec@5 70.000 (68.619)
Epoch: [20][3610/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.5458 (2.5478)	Prec@1 32.500 (37.746)	Prec@5 68.500 (68.621)
Epoch: [20][3620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5929 (2.5478)	Prec@1 34.500 (37.746)	Prec@5 68.000 (68.624)
Epoch: [20][3630/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7141 (2.5478)	Prec@1 39.000 (37.743)	Prec@5 65.000 (68.624)
Epoch: [20][3640/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6587 (2.5477)	Prec@1 38.000 (37.745)	Prec@5 67.500 (68.627)
Epoch: [20][3650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8122 (2.5478)	Prec@1 34.500 (37.743)	Prec@5 65.000 (68.628)
Epoch: [20][3660/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3918 (2.5479)	Prec@1 41.000 (37.742)	Prec@5 71.000 (68.629)
Epoch: [20][3670/9018]	Time 0.649 (0.615)	Data 0.001 (0.001)	Loss 2.1567 (2.5476)	Prec@1 48.000 (37.748)	Prec@5 75.000 (68.635)
Epoch: [20][3680/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5837 (2.5477)	Prec@1 35.000 (37.745)	Prec@5 63.500 (68.634)
Epoch: [20][3690/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6044 (2.5478)	Prec@1 38.500 (37.743)	Prec@5 69.000 (68.631)
Epoch: [20][3700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4017 (2.5479)	Prec@1 40.000 (37.739)	Prec@5 72.000 (68.631)
Epoch: [20][3710/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6818 (2.5478)	Prec@1 36.000 (37.741)	Prec@5 64.000 (68.632)
Epoch: [20][3720/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.3658 (2.5476)	Prec@1 36.500 (37.745)	Prec@5 68.500 (68.633)
Epoch: [20][3730/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8339 (2.5475)	Prec@1 39.000 (37.748)	Prec@5 60.500 (68.633)
Epoch: [20][3740/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6279 (2.5474)	Prec@1 38.000 (37.751)	Prec@5 66.000 (68.636)
Epoch: [20][3750/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8503 (2.5474)	Prec@1 35.500 (37.752)	Prec@5 62.500 (68.636)
Epoch: [20][3760/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5335 (2.5473)	Prec@1 36.500 (37.752)	Prec@5 71.000 (68.636)
Epoch: [20][3770/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5735 (2.5474)	Prec@1 35.000 (37.749)	Prec@5 66.500 (68.632)
Epoch: [20][3780/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6095 (2.5478)	Prec@1 38.500 (37.746)	Prec@5 67.500 (68.624)
Epoch: [20][3790/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5802 (2.5478)	Prec@1 37.500 (37.748)	Prec@5 69.500 (68.621)
Epoch: [20][3800/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4818 (2.5477)	Prec@1 33.500 (37.749)	Prec@5 72.000 (68.624)
Epoch: [20][3810/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4880 (2.5477)	Prec@1 37.000 (37.752)	Prec@5 66.000 (68.620)
Epoch: [20][3820/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3561 (2.5478)	Prec@1 41.000 (37.747)	Prec@5 72.500 (68.620)
Epoch: [20][3830/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5059 (2.5477)	Prec@1 37.000 (37.746)	Prec@5 70.500 (68.623)
Epoch: [20][3840/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3896 (2.5477)	Prec@1 41.500 (37.749)	Prec@5 72.500 (68.625)
Epoch: [20][3850/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.5486 (2.5476)	Prec@1 36.500 (37.749)	Prec@5 70.000 (68.627)
Epoch: [20][3860/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4444 (2.5476)	Prec@1 38.000 (37.751)	Prec@5 73.000 (68.630)
Epoch: [20][3870/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5597 (2.5477)	Prec@1 36.500 (37.749)	Prec@5 73.000 (68.631)
Epoch: [20][3880/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.5472 (2.5476)	Prec@1 41.000 (37.750)	Prec@5 68.000 (68.631)
Epoch: [20][3890/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.4314 (2.5477)	Prec@1 40.500 (37.749)	Prec@5 74.000 (68.630)
Epoch: [20][3900/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4473 (2.5475)	Prec@1 40.000 (37.756)	Prec@5 68.500 (68.637)
Epoch: [20][3910/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7173 (2.5477)	Prec@1 36.500 (37.753)	Prec@5 65.500 (68.637)
Epoch: [20][3920/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.2841 (2.5476)	Prec@1 42.500 (37.754)	Prec@5 74.500 (68.640)
Epoch: [20][3930/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4096 (2.5475)	Prec@1 38.000 (37.753)	Prec@5 69.500 (68.640)
Epoch: [20][3940/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.3509 (2.5476)	Prec@1 36.500 (37.756)	Prec@5 68.000 (68.637)
Epoch: [20][3950/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5711 (2.5477)	Prec@1 35.000 (37.752)	Prec@5 69.500 (68.635)
Epoch: [20][3960/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7283 (2.5479)	Prec@1 34.000 (37.748)	Prec@5 63.000 (68.631)
Epoch: [20][3970/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7370 (2.5481)	Prec@1 35.500 (37.745)	Prec@5 64.500 (68.629)
Epoch: [20][3980/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3611 (2.5482)	Prec@1 42.000 (37.743)	Prec@5 72.000 (68.625)
Epoch: [20][3990/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4148 (2.5481)	Prec@1 41.000 (37.745)	Prec@5 69.500 (68.627)
Epoch: [20][4000/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5528 (2.5482)	Prec@1 36.000 (37.740)	Prec@5 70.500 (68.625)
Epoch: [20][4010/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4143 (2.5480)	Prec@1 41.500 (37.748)	Prec@5 71.500 (68.629)
Epoch: [20][4020/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5348 (2.5481)	Prec@1 36.500 (37.748)	Prec@5 71.500 (68.629)
Epoch: [20][4030/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5330 (2.5481)	Prec@1 42.000 (37.747)	Prec@5 69.000 (68.628)
Epoch: [20][4040/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5145 (2.5484)	Prec@1 39.000 (37.743)	Prec@5 71.500 (68.623)
Epoch: [20][4050/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6001 (2.5485)	Prec@1 39.500 (37.741)	Prec@5 65.500 (68.619)
Epoch: [20][4060/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6527 (2.5487)	Prec@1 29.500 (37.740)	Prec@5 67.000 (68.616)
Epoch: [20][4070/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6019 (2.5487)	Prec@1 37.000 (37.736)	Prec@5 69.500 (68.617)
Epoch: [20][4080/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5724 (2.5488)	Prec@1 40.000 (37.739)	Prec@5 69.000 (68.614)
Epoch: [20][4090/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5004 (2.5488)	Prec@1 36.500 (37.738)	Prec@5 69.000 (68.611)
Epoch: [20][4100/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.4326 (2.5489)	Prec@1 36.000 (37.737)	Prec@5 71.500 (68.611)
Epoch: [20][4110/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6657 (2.5490)	Prec@1 33.500 (37.736)	Prec@5 64.000 (68.610)
Epoch: [20][4120/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6995 (2.5490)	Prec@1 34.500 (37.736)	Prec@5 65.000 (68.608)
Epoch: [20][4130/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6594 (2.5491)	Prec@1 33.000 (37.730)	Prec@5 66.000 (68.607)
Epoch: [20][4140/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6465 (2.5491)	Prec@1 34.500 (37.732)	Prec@5 68.000 (68.606)
Epoch: [20][4150/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6544 (2.5491)	Prec@1 34.000 (37.732)	Prec@5 68.500 (68.608)
Epoch: [20][4160/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4842 (2.5492)	Prec@1 39.500 (37.733)	Prec@5 69.500 (68.608)
Epoch: [20][4170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3995 (2.5493)	Prec@1 43.500 (37.731)	Prec@5 71.500 (68.605)
Epoch: [20][4180/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6200 (2.5494)	Prec@1 36.500 (37.730)	Prec@5 71.000 (68.607)
Epoch: [20][4190/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7125 (2.5494)	Prec@1 34.500 (37.729)	Prec@5 66.000 (68.605)
Epoch: [20][4200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6456 (2.5493)	Prec@1 34.000 (37.730)	Prec@5 64.500 (68.606)
Epoch: [20][4210/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5799 (2.5495)	Prec@1 38.000 (37.724)	Prec@5 67.000 (68.604)
Epoch: [20][4220/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.6121 (2.5495)	Prec@1 39.000 (37.725)	Prec@5 69.500 (68.604)
Epoch: [20][4230/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6841 (2.5495)	Prec@1 35.000 (37.725)	Prec@5 61.500 (68.604)
Epoch: [20][4240/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5788 (2.5495)	Prec@1 39.000 (37.729)	Prec@5 72.500 (68.606)
Epoch: [20][4250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3430 (2.5494)	Prec@1 40.500 (37.729)	Prec@5 68.000 (68.607)
Epoch: [20][4260/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5548 (2.5494)	Prec@1 37.500 (37.728)	Prec@5 69.500 (68.607)
Epoch: [20][4270/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.7550 (2.5496)	Prec@1 34.500 (37.722)	Prec@5 65.000 (68.605)
Epoch: [20][4280/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7335 (2.5494)	Prec@1 37.000 (37.727)	Prec@5 60.500 (68.607)
Epoch: [20][4290/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2754 (2.5494)	Prec@1 38.000 (37.723)	Prec@5 74.500 (68.607)
Epoch: [20][4300/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.7850 (2.5495)	Prec@1 31.000 (37.722)	Prec@5 65.500 (68.603)
Epoch: [20][4310/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.2835 (2.5496)	Prec@1 39.000 (37.719)	Prec@5 70.500 (68.603)
Epoch: [20][4320/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.2643 (2.5495)	Prec@1 42.500 (37.720)	Prec@5 76.500 (68.604)
Epoch: [20][4330/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5810 (2.5497)	Prec@1 31.000 (37.714)	Prec@5 68.000 (68.598)
Epoch: [20][4340/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3157 (2.5497)	Prec@1 45.500 (37.713)	Prec@5 71.000 (68.596)
Epoch: [20][4350/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6196 (2.5498)	Prec@1 33.500 (37.710)	Prec@5 69.500 (68.595)
Epoch: [20][4360/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4409 (2.5499)	Prec@1 42.000 (37.712)	Prec@5 72.500 (68.594)
Epoch: [20][4370/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8081 (2.5500)	Prec@1 29.500 (37.710)	Prec@5 64.500 (68.594)
Epoch: [20][4380/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4394 (2.5499)	Prec@1 40.000 (37.710)	Prec@5 68.500 (68.596)
Epoch: [20][4390/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7218 (2.5501)	Prec@1 31.500 (37.706)	Prec@5 68.000 (68.593)
Epoch: [20][4400/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.3239 (2.5500)	Prec@1 38.000 (37.708)	Prec@5 71.000 (68.597)
Epoch: [20][4410/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7432 (2.5500)	Prec@1 35.000 (37.708)	Prec@5 65.500 (68.594)
Epoch: [20][4420/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6322 (2.5501)	Prec@1 37.000 (37.703)	Prec@5 62.500 (68.589)
Epoch: [20][4430/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4852 (2.5500)	Prec@1 37.500 (37.706)	Prec@5 69.000 (68.591)
Epoch: [20][4440/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7091 (2.5501)	Prec@1 32.000 (37.705)	Prec@5 67.000 (68.585)
Epoch: [20][4450/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.2801 (2.5500)	Prec@1 43.500 (37.706)	Prec@5 74.500 (68.589)
Epoch: [20][4460/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.8245 (2.5502)	Prec@1 35.000 (37.706)	Prec@5 61.500 (68.585)
Epoch: [20][4470/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5101 (2.5502)	Prec@1 39.000 (37.704)	Prec@5 65.500 (68.584)
Epoch: [20][4480/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7149 (2.5503)	Prec@1 35.000 (37.705)	Prec@5 67.500 (68.587)
Epoch: [20][4490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6406 (2.5502)	Prec@1 36.000 (37.707)	Prec@5 68.500 (68.588)
Epoch: [20][4500/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4807 (2.5502)	Prec@1 40.000 (37.706)	Prec@5 70.500 (68.589)
Epoch: [20][4510/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4563 (2.5501)	Prec@1 37.500 (37.709)	Prec@5 71.500 (68.589)
Epoch: [20][4520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6365 (2.5502)	Prec@1 36.000 (37.709)	Prec@5 70.000 (68.586)
Epoch: [20][4530/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4668 (2.5501)	Prec@1 35.500 (37.708)	Prec@5 70.500 (68.588)
Epoch: [20][4540/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4195 (2.5500)	Prec@1 38.000 (37.708)	Prec@5 71.000 (68.590)
Epoch: [20][4550/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.6352 (2.5503)	Prec@1 33.000 (37.702)	Prec@5 66.000 (68.583)
Epoch: [20][4560/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6036 (2.5503)	Prec@1 34.500 (37.701)	Prec@5 73.000 (68.584)
Epoch: [20][4570/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7623 (2.5503)	Prec@1 36.500 (37.701)	Prec@5 65.000 (68.586)
Epoch: [20][4580/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3629 (2.5503)	Prec@1 42.500 (37.701)	Prec@5 71.000 (68.586)
Epoch: [20][4590/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3864 (2.5502)	Prec@1 38.500 (37.703)	Prec@5 71.500 (68.588)
Epoch: [20][4600/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.2554 (2.5501)	Prec@1 40.000 (37.705)	Prec@5 75.000 (68.590)
Epoch: [20][4610/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.8413 (2.5503)	Prec@1 30.500 (37.701)	Prec@5 61.000 (68.586)
Epoch: [20][4620/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7074 (2.5503)	Prec@1 39.000 (37.699)	Prec@5 65.000 (68.585)
Epoch: [20][4630/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7615 (2.5502)	Prec@1 35.500 (37.700)	Prec@5 64.500 (68.589)
Epoch: [20][4640/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6156 (2.5503)	Prec@1 37.500 (37.699)	Prec@5 67.000 (68.590)
Epoch: [20][4650/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5430 (2.5503)	Prec@1 38.500 (37.698)	Prec@5 68.000 (68.589)
Epoch: [20][4660/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7141 (2.5503)	Prec@1 34.000 (37.695)	Prec@5 66.500 (68.587)
Epoch: [20][4670/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4803 (2.5504)	Prec@1 33.500 (37.694)	Prec@5 71.000 (68.585)
Epoch: [20][4680/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4015 (2.5504)	Prec@1 40.000 (37.693)	Prec@5 68.000 (68.584)
Epoch: [20][4690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4157 (2.5504)	Prec@1 37.000 (37.690)	Prec@5 71.000 (68.583)
Epoch: [20][4700/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5489 (2.5505)	Prec@1 42.000 (37.690)	Prec@5 66.500 (68.583)
Epoch: [20][4710/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7210 (2.5505)	Prec@1 31.500 (37.687)	Prec@5 70.500 (68.585)
Epoch: [20][4720/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6642 (2.5505)	Prec@1 32.000 (37.684)	Prec@5 67.000 (68.585)
Epoch: [20][4730/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6375 (2.5505)	Prec@1 38.500 (37.686)	Prec@5 66.000 (68.584)
Epoch: [20][4740/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5264 (2.5507)	Prec@1 37.500 (37.686)	Prec@5 65.500 (68.581)
Epoch: [20][4750/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6097 (2.5506)	Prec@1 34.000 (37.684)	Prec@5 69.000 (68.581)
Epoch: [20][4760/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4178 (2.5505)	Prec@1 36.500 (37.685)	Prec@5 69.000 (68.583)
Epoch: [20][4770/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7729 (2.5504)	Prec@1 34.000 (37.689)	Prec@5 63.500 (68.585)
Epoch: [20][4780/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4093 (2.5503)	Prec@1 40.000 (37.692)	Prec@5 70.000 (68.586)
Epoch: [20][4790/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5796 (2.5503)	Prec@1 37.000 (37.693)	Prec@5 66.500 (68.586)
Epoch: [20][4800/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5875 (2.5503)	Prec@1 36.000 (37.693)	Prec@5 66.000 (68.587)
Epoch: [20][4810/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4217 (2.5502)	Prec@1 36.000 (37.693)	Prec@5 69.000 (68.587)
Epoch: [20][4820/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4826 (2.5501)	Prec@1 43.000 (37.694)	Prec@5 69.500 (68.589)
Epoch: [20][4830/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6084 (2.5503)	Prec@1 40.500 (37.690)	Prec@5 68.500 (68.585)
Epoch: [20][4840/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4339 (2.5501)	Prec@1 40.500 (37.692)	Prec@5 68.000 (68.586)
Epoch: [20][4850/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5590 (2.5500)	Prec@1 37.000 (37.696)	Prec@5 71.000 (68.589)
Epoch: [20][4860/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6320 (2.5502)	Prec@1 36.500 (37.690)	Prec@5 67.000 (68.585)
Epoch: [20][4870/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4378 (2.5501)	Prec@1 37.000 (37.693)	Prec@5 69.500 (68.586)
Epoch: [20][4880/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 2.5593 (2.5501)	Prec@1 40.500 (37.696)	Prec@5 66.000 (68.584)
Epoch: [20][4890/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4642 (2.5500)	Prec@1 41.000 (37.695)	Prec@5 71.000 (68.588)
Epoch: [20][4900/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6111 (2.5502)	Prec@1 38.500 (37.695)	Prec@5 66.500 (68.584)
Epoch: [20][4910/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5897 (2.5501)	Prec@1 39.500 (37.698)	Prec@5 66.500 (68.588)
Epoch: [20][4920/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6402 (2.5502)	Prec@1 35.000 (37.693)	Prec@5 67.000 (68.586)
Epoch: [20][4930/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.5263 (2.5501)	Prec@1 42.500 (37.697)	Prec@5 69.500 (68.588)
Epoch: [20][4940/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7703 (2.5501)	Prec@1 35.500 (37.694)	Prec@5 64.000 (68.588)
Epoch: [20][4950/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7568 (2.5500)	Prec@1 34.500 (37.699)	Prec@5 66.500 (68.591)
Epoch: [20][4960/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6682 (2.5500)	Prec@1 35.500 (37.698)	Prec@5 68.500 (68.593)
Epoch: [20][4970/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4533 (2.5500)	Prec@1 39.500 (37.698)	Prec@5 69.000 (68.593)
Epoch: [20][4980/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6185 (2.5500)	Prec@1 33.500 (37.698)	Prec@5 67.500 (68.592)
Epoch: [20][4990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3524 (2.5501)	Prec@1 37.500 (37.699)	Prec@5 72.000 (68.588)
Epoch: [20][5000/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4940 (2.5501)	Prec@1 40.000 (37.698)	Prec@5 73.500 (68.587)
Epoch: [20][5010/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6810 (2.5502)	Prec@1 40.500 (37.695)	Prec@5 62.500 (68.584)
Epoch: [20][5020/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6496 (2.5503)	Prec@1 37.500 (37.694)	Prec@5 65.500 (68.581)
Epoch: [20][5030/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6279 (2.5503)	Prec@1 36.000 (37.694)	Prec@5 66.500 (68.579)
Epoch: [20][5040/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6988 (2.5505)	Prec@1 36.000 (37.690)	Prec@5 64.500 (68.576)
Epoch: [20][5050/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6113 (2.5506)	Prec@1 41.000 (37.688)	Prec@5 64.000 (68.574)
Epoch: [20][5060/9018]	Time 0.627 (0.615)	Data 0.002 (0.001)	Loss 2.5612 (2.5505)	Prec@1 34.500 (37.690)	Prec@5 66.500 (68.575)
Epoch: [20][5070/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7729 (2.5507)	Prec@1 38.000 (37.689)	Prec@5 62.500 (68.572)
Epoch: [20][5080/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5371 (2.5507)	Prec@1 42.000 (37.690)	Prec@5 67.500 (68.572)
Epoch: [20][5090/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6439 (2.5506)	Prec@1 38.000 (37.696)	Prec@5 69.000 (68.575)
Epoch: [20][5100/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5436 (2.5504)	Prec@1 38.500 (37.701)	Prec@5 71.500 (68.578)
Epoch: [20][5110/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6892 (2.5503)	Prec@1 36.000 (37.704)	Prec@5 63.500 (68.582)
Epoch: [20][5120/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4419 (2.5501)	Prec@1 36.500 (37.707)	Prec@5 70.000 (68.584)
Epoch: [20][5130/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6445 (2.5502)	Prec@1 37.500 (37.705)	Prec@5 69.500 (68.583)
Epoch: [20][5140/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6462 (2.5502)	Prec@1 40.000 (37.704)	Prec@5 69.000 (68.586)
Epoch: [20][5150/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5098 (2.5502)	Prec@1 35.000 (37.703)	Prec@5 69.500 (68.585)
Epoch: [20][5160/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7078 (2.5502)	Prec@1 34.500 (37.701)	Prec@5 64.500 (68.585)
Epoch: [20][5170/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5673 (2.5502)	Prec@1 38.000 (37.702)	Prec@5 70.000 (68.586)
Epoch: [20][5180/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6789 (2.5503)	Prec@1 36.500 (37.701)	Prec@5 64.500 (68.583)
Epoch: [20][5190/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4059 (2.5503)	Prec@1 41.500 (37.704)	Prec@5 70.500 (68.584)
Epoch: [20][5200/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5254 (2.5502)	Prec@1 41.500 (37.703)	Prec@5 67.500 (68.588)
Epoch: [20][5210/9018]	Time 0.768 (0.615)	Data 0.001 (0.001)	Loss 2.4721 (2.5502)	Prec@1 39.000 (37.700)	Prec@5 71.000 (68.590)
Epoch: [20][5220/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4257 (2.5504)	Prec@1 42.000 (37.697)	Prec@5 69.500 (68.587)
Epoch: [20][5230/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6895 (2.5504)	Prec@1 37.000 (37.695)	Prec@5 62.500 (68.585)
Epoch: [20][5240/9018]	Time 0.651 (0.615)	Data 0.001 (0.001)	Loss 2.6970 (2.5503)	Prec@1 34.000 (37.696)	Prec@5 69.000 (68.588)
Epoch: [20][5250/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7642 (2.5504)	Prec@1 36.500 (37.696)	Prec@5 64.500 (68.587)
Epoch: [20][5260/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.4940 (2.5504)	Prec@1 42.500 (37.696)	Prec@5 71.000 (68.587)
Epoch: [20][5270/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6674 (2.5505)	Prec@1 35.500 (37.693)	Prec@5 69.500 (68.585)
Epoch: [20][5280/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4520 (2.5504)	Prec@1 37.000 (37.694)	Prec@5 69.000 (68.584)
Epoch: [20][5290/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.4452 (2.5506)	Prec@1 46.000 (37.694)	Prec@5 71.500 (68.584)
Epoch: [20][5300/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5183 (2.5506)	Prec@1 38.500 (37.691)	Prec@5 65.500 (68.582)
Epoch: [20][5310/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3501 (2.5506)	Prec@1 44.000 (37.694)	Prec@5 75.500 (68.582)
Epoch: [20][5320/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.6630 (2.5507)	Prec@1 38.000 (37.692)	Prec@5 66.000 (68.578)
Epoch: [20][5330/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5148 (2.5507)	Prec@1 33.500 (37.692)	Prec@5 72.500 (68.579)
Epoch: [20][5340/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4722 (2.5507)	Prec@1 45.000 (37.692)	Prec@5 68.000 (68.577)
Epoch: [20][5350/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3774 (2.5508)	Prec@1 42.000 (37.692)	Prec@5 72.000 (68.576)
Epoch: [20][5360/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6473 (2.5507)	Prec@1 37.500 (37.693)	Prec@5 64.500 (68.575)
Epoch: [20][5370/9018]	Time 0.649 (0.615)	Data 0.001 (0.001)	Loss 2.6303 (2.5508)	Prec@1 37.500 (37.691)	Prec@5 67.500 (68.573)
Epoch: [20][5380/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6436 (2.5509)	Prec@1 34.000 (37.689)	Prec@5 65.000 (68.570)
Epoch: [20][5390/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6345 (2.5509)	Prec@1 36.000 (37.687)	Prec@5 67.000 (68.569)
Epoch: [20][5400/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7556 (2.5508)	Prec@1 35.500 (37.689)	Prec@5 63.000 (68.571)
Epoch: [20][5410/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6327 (2.5508)	Prec@1 39.500 (37.689)	Prec@5 69.000 (68.569)
Epoch: [20][5420/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6857 (2.5509)	Prec@1 31.000 (37.690)	Prec@5 64.500 (68.570)
Epoch: [20][5430/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6540 (2.5507)	Prec@1 38.000 (37.693)	Prec@5 64.500 (68.571)
Epoch: [20][5440/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.6098 (2.5506)	Prec@1 38.500 (37.696)	Prec@5 66.500 (68.573)
Epoch: [20][5450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5699 (2.5505)	Prec@1 37.500 (37.698)	Prec@5 71.000 (68.573)
Epoch: [20][5460/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3939 (2.5505)	Prec@1 41.000 (37.697)	Prec@5 72.500 (68.575)
Epoch: [20][5470/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4688 (2.5505)	Prec@1 36.500 (37.698)	Prec@5 69.000 (68.574)
Epoch: [20][5480/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4507 (2.5505)	Prec@1 38.500 (37.696)	Prec@5 69.500 (68.574)
Epoch: [20][5490/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5318 (2.5506)	Prec@1 37.500 (37.693)	Prec@5 69.500 (68.572)
Epoch: [20][5500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5094 (2.5508)	Prec@1 34.500 (37.689)	Prec@5 68.000 (68.568)
Epoch: [20][5510/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5553 (2.5508)	Prec@1 33.500 (37.691)	Prec@5 66.500 (68.568)
Epoch: [20][5520/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6213 (2.5507)	Prec@1 36.500 (37.692)	Prec@5 68.000 (68.569)
Epoch: [20][5530/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6688 (2.5508)	Prec@1 36.000 (37.693)	Prec@5 67.500 (68.569)
Epoch: [20][5540/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.5118 (2.5507)	Prec@1 39.000 (37.694)	Prec@5 68.500 (68.570)
Epoch: [20][5550/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4360 (2.5509)	Prec@1 37.000 (37.689)	Prec@5 72.000 (68.567)
Epoch: [20][5560/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5969 (2.5508)	Prec@1 37.500 (37.687)	Prec@5 68.000 (68.568)
Epoch: [20][5570/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4621 (2.5508)	Prec@1 41.500 (37.690)	Prec@5 70.500 (68.569)
Epoch: [20][5580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5322 (2.5507)	Prec@1 39.500 (37.695)	Prec@5 68.500 (68.573)
Epoch: [20][5590/9018]	Time 0.753 (0.615)	Data 0.001 (0.001)	Loss 2.5002 (2.5508)	Prec@1 40.000 (37.693)	Prec@5 67.500 (68.571)
Epoch: [20][5600/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6984 (2.5509)	Prec@1 35.000 (37.690)	Prec@5 66.000 (68.568)
Epoch: [20][5610/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5241 (2.5508)	Prec@1 38.000 (37.691)	Prec@5 71.000 (68.573)
Epoch: [20][5620/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6118 (2.5509)	Prec@1 36.000 (37.690)	Prec@5 67.000 (68.572)
Epoch: [20][5630/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5258 (2.5509)	Prec@1 41.000 (37.692)	Prec@5 71.000 (68.575)
Epoch: [20][5640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5479 (2.5509)	Prec@1 38.000 (37.690)	Prec@5 65.500 (68.576)
Epoch: [20][5650/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4550 (2.5509)	Prec@1 36.000 (37.688)	Prec@5 70.000 (68.575)
Epoch: [20][5660/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7020 (2.5509)	Prec@1 32.500 (37.688)	Prec@5 69.000 (68.577)
Epoch: [20][5670/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6839 (2.5508)	Prec@1 35.000 (37.688)	Prec@5 66.000 (68.577)
Epoch: [20][5680/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8584 (2.5509)	Prec@1 32.500 (37.685)	Prec@5 66.500 (68.576)
Epoch: [20][5690/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4882 (2.5509)	Prec@1 37.000 (37.683)	Prec@5 68.500 (68.576)
Epoch: [20][5700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6308 (2.5509)	Prec@1 37.500 (37.684)	Prec@5 68.000 (68.574)
Epoch: [20][5710/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4563 (2.5510)	Prec@1 43.000 (37.682)	Prec@5 66.000 (68.572)
Epoch: [20][5720/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5364 (2.5510)	Prec@1 33.000 (37.681)	Prec@5 69.000 (68.574)
Epoch: [20][5730/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8342 (2.5510)	Prec@1 32.000 (37.679)	Prec@5 65.000 (68.573)
Epoch: [20][5740/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5534 (2.5510)	Prec@1 36.500 (37.679)	Prec@5 69.500 (68.572)
Epoch: [20][5750/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7302 (2.5510)	Prec@1 35.000 (37.680)	Prec@5 66.000 (68.570)
Epoch: [20][5760/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5281 (2.5511)	Prec@1 37.500 (37.678)	Prec@5 69.000 (68.572)
Epoch: [20][5770/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6806 (2.5511)	Prec@1 32.500 (37.679)	Prec@5 68.500 (68.574)
Epoch: [20][5780/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6811 (2.5512)	Prec@1 36.000 (37.678)	Prec@5 63.000 (68.572)
Epoch: [20][5790/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7393 (2.5513)	Prec@1 30.000 (37.674)	Prec@5 69.000 (68.572)
Epoch: [20][5800/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7676 (2.5514)	Prec@1 33.000 (37.672)	Prec@5 62.000 (68.570)
Epoch: [20][5810/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6516 (2.5515)	Prec@1 35.000 (37.670)	Prec@5 65.500 (68.567)
Epoch: [20][5820/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5845 (2.5515)	Prec@1 34.500 (37.668)	Prec@5 69.000 (68.567)
Epoch: [20][5830/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5769 (2.5515)	Prec@1 37.500 (37.669)	Prec@5 69.500 (68.566)
Epoch: [20][5840/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3603 (2.5515)	Prec@1 39.500 (37.669)	Prec@5 72.500 (68.566)
Epoch: [20][5850/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6717 (2.5515)	Prec@1 36.000 (37.669)	Prec@5 67.500 (68.567)
Epoch: [20][5860/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4206 (2.5514)	Prec@1 39.500 (37.669)	Prec@5 72.500 (68.571)
Epoch: [20][5870/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.1602 (2.5513)	Prec@1 44.000 (37.671)	Prec@5 75.000 (68.574)
Epoch: [20][5880/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6422 (2.5513)	Prec@1 36.500 (37.672)	Prec@5 64.000 (68.573)
Epoch: [20][5890/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5162 (2.5513)	Prec@1 38.500 (37.670)	Prec@5 68.500 (68.572)
Epoch: [20][5900/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.3358 (2.5514)	Prec@1 37.500 (37.671)	Prec@5 72.500 (68.572)
Epoch: [20][5910/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5354 (2.5514)	Prec@1 38.500 (37.671)	Prec@5 70.000 (68.571)
Epoch: [20][5920/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.5727 (2.5514)	Prec@1 35.000 (37.668)	Prec@5 70.500 (68.570)
Epoch: [20][5930/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6121 (2.5515)	Prec@1 38.000 (37.667)	Prec@5 68.500 (68.568)
Epoch: [20][5940/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6164 (2.5513)	Prec@1 29.000 (37.667)	Prec@5 70.500 (68.572)
Epoch: [20][5950/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5146 (2.5512)	Prec@1 38.000 (37.668)	Prec@5 67.500 (68.573)
Epoch: [20][5960/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4223 (2.5512)	Prec@1 43.000 (37.670)	Prec@5 71.000 (68.574)
Epoch: [20][5970/9018]	Time 0.658 (0.615)	Data 0.001 (0.001)	Loss 2.3238 (2.5512)	Prec@1 44.500 (37.673)	Prec@5 73.500 (68.576)
Epoch: [20][5980/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5035 (2.5512)	Prec@1 36.500 (37.670)	Prec@5 69.000 (68.576)
Epoch: [20][5990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4894 (2.5512)	Prec@1 41.500 (37.671)	Prec@5 66.500 (68.577)
Epoch: [20][6000/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5117 (2.5512)	Prec@1 38.500 (37.670)	Prec@5 69.500 (68.578)
Epoch: [20][6010/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7720 (2.5513)	Prec@1 34.000 (37.665)	Prec@5 65.000 (68.576)
Epoch: [20][6020/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5335 (2.5514)	Prec@1 38.500 (37.665)	Prec@5 68.000 (68.575)
Epoch: [20][6030/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.4821 (2.5513)	Prec@1 42.000 (37.666)	Prec@5 67.500 (68.574)
Epoch: [20][6040/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6257 (2.5514)	Prec@1 37.000 (37.664)	Prec@5 69.500 (68.573)
Epoch: [20][6050/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4938 (2.5514)	Prec@1 34.000 (37.665)	Prec@5 72.000 (68.575)
Epoch: [20][6060/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7086 (2.5513)	Prec@1 34.500 (37.667)	Prec@5 65.500 (68.578)
Epoch: [20][6070/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5669 (2.5513)	Prec@1 39.500 (37.668)	Prec@5 69.500 (68.577)
Epoch: [20][6080/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4294 (2.5513)	Prec@1 40.000 (37.668)	Prec@5 70.500 (68.578)
Epoch: [20][6090/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2102 (2.5512)	Prec@1 46.500 (37.670)	Prec@5 72.500 (68.580)
Epoch: [20][6100/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8337 (2.5512)	Prec@1 30.000 (37.671)	Prec@5 64.500 (68.579)
Epoch: [20][6110/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4844 (2.5512)	Prec@1 42.500 (37.673)	Prec@5 70.500 (68.579)
Epoch: [20][6120/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4331 (2.5511)	Prec@1 40.000 (37.675)	Prec@5 64.000 (68.579)
Epoch: [20][6130/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5601 (2.5511)	Prec@1 39.500 (37.674)	Prec@5 68.500 (68.580)
Epoch: [20][6140/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6271 (2.5510)	Prec@1 35.000 (37.675)	Prec@5 71.000 (68.582)
Epoch: [20][6150/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3292 (2.5510)	Prec@1 44.500 (37.676)	Prec@5 70.000 (68.584)
Epoch: [20][6160/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8521 (2.5510)	Prec@1 32.500 (37.676)	Prec@5 66.500 (68.583)
Epoch: [20][6170/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6741 (2.5510)	Prec@1 36.500 (37.676)	Prec@5 64.000 (68.580)
Epoch: [20][6180/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5540 (2.5511)	Prec@1 35.500 (37.674)	Prec@5 68.500 (68.579)
Epoch: [20][6190/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5194 (2.5511)	Prec@1 39.000 (37.673)	Prec@5 68.000 (68.579)
Epoch: [20][6200/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.2297 (2.5510)	Prec@1 40.000 (37.675)	Prec@5 77.000 (68.582)
Epoch: [20][6210/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6388 (2.5510)	Prec@1 33.500 (37.677)	Prec@5 66.500 (68.582)
Epoch: [20][6220/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4202 (2.5510)	Prec@1 38.000 (37.675)	Prec@5 73.000 (68.582)
Epoch: [20][6230/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6658 (2.5510)	Prec@1 33.000 (37.672)	Prec@5 62.500 (68.580)
Epoch: [20][6240/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2881 (2.5510)	Prec@1 40.500 (37.673)	Prec@5 74.000 (68.581)
Epoch: [20][6250/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.8090 (2.5509)	Prec@1 33.000 (37.672)	Prec@5 65.500 (68.583)
Epoch: [20][6260/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5634 (2.5509)	Prec@1 40.500 (37.672)	Prec@5 68.500 (68.583)
Epoch: [20][6270/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3481 (2.5510)	Prec@1 39.000 (37.670)	Prec@5 72.000 (68.580)
Epoch: [20][6280/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7257 (2.5510)	Prec@1 31.500 (37.670)	Prec@5 69.500 (68.581)
Epoch: [20][6290/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7134 (2.5511)	Prec@1 32.500 (37.668)	Prec@5 68.500 (68.580)
Epoch: [20][6300/9018]	Time 0.647 (0.615)	Data 0.001 (0.001)	Loss 2.5182 (2.5512)	Prec@1 42.500 (37.667)	Prec@5 71.500 (68.578)
Epoch: [20][6310/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5385 (2.5512)	Prec@1 38.000 (37.666)	Prec@5 70.000 (68.577)
Epoch: [20][6320/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2922 (2.5512)	Prec@1 42.000 (37.669)	Prec@5 73.500 (68.578)
Epoch: [20][6330/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3664 (2.5511)	Prec@1 44.000 (37.669)	Prec@5 74.000 (68.579)
Epoch: [20][6340/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6559 (2.5512)	Prec@1 40.000 (37.668)	Prec@5 66.000 (68.578)
Epoch: [20][6350/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5561 (2.5512)	Prec@1 40.000 (37.669)	Prec@5 67.000 (68.577)
Epoch: [20][6360/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5856 (2.5513)	Prec@1 38.500 (37.668)	Prec@5 65.000 (68.575)
Epoch: [20][6370/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6274 (2.5512)	Prec@1 34.000 (37.670)	Prec@5 67.500 (68.576)
Epoch: [20][6380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6680 (2.5511)	Prec@1 32.500 (37.670)	Prec@5 66.500 (68.578)
Epoch: [20][6390/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4823 (2.5512)	Prec@1 37.000 (37.669)	Prec@5 66.500 (68.578)
Epoch: [20][6400/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6607 (2.5511)	Prec@1 35.000 (37.670)	Prec@5 66.000 (68.580)
Epoch: [20][6410/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.2677 (2.5511)	Prec@1 48.000 (37.673)	Prec@5 72.500 (68.580)
Epoch: [20][6420/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6877 (2.5511)	Prec@1 34.500 (37.671)	Prec@5 65.500 (68.578)
Epoch: [20][6430/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7141 (2.5512)	Prec@1 35.000 (37.670)	Prec@5 64.500 (68.577)
Epoch: [20][6440/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6519 (2.5511)	Prec@1 31.500 (37.672)	Prec@5 67.000 (68.578)
Epoch: [20][6450/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6743 (2.5513)	Prec@1 35.500 (37.667)	Prec@5 63.500 (68.576)
Epoch: [20][6460/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4325 (2.5512)	Prec@1 37.500 (37.668)	Prec@5 68.000 (68.576)
Epoch: [20][6470/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3661 (2.5512)	Prec@1 39.000 (37.668)	Prec@5 73.500 (68.579)
Epoch: [20][6480/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7362 (2.5512)	Prec@1 33.500 (37.668)	Prec@5 65.000 (68.577)
Epoch: [20][6490/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8335 (2.5513)	Prec@1 32.500 (37.668)	Prec@5 65.500 (68.574)
Epoch: [20][6500/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7661 (2.5514)	Prec@1 34.500 (37.667)	Prec@5 64.500 (68.573)
Epoch: [20][6510/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.7038 (2.5514)	Prec@1 36.000 (37.668)	Prec@5 66.000 (68.573)
Epoch: [20][6520/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4222 (2.5513)	Prec@1 41.500 (37.669)	Prec@5 71.000 (68.575)
Epoch: [20][6530/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.6643 (2.5513)	Prec@1 35.000 (37.668)	Prec@5 70.000 (68.577)
Epoch: [20][6540/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5651 (2.5512)	Prec@1 38.500 (37.670)	Prec@5 70.000 (68.578)
Epoch: [20][6550/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6412 (2.5514)	Prec@1 37.000 (37.668)	Prec@5 68.500 (68.575)
Epoch: [20][6560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4828 (2.5513)	Prec@1 35.000 (37.670)	Prec@5 70.500 (68.577)
Epoch: [20][6570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3858 (2.5513)	Prec@1 38.500 (37.671)	Prec@5 71.500 (68.579)
Epoch: [20][6580/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.5964 (2.5513)	Prec@1 38.500 (37.670)	Prec@5 69.000 (68.579)
Epoch: [20][6590/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.5730 (2.5514)	Prec@1 38.500 (37.667)	Prec@5 66.000 (68.577)
Epoch: [20][6600/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5703 (2.5514)	Prec@1 41.500 (37.666)	Prec@5 68.500 (68.578)
Epoch: [20][6610/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5307 (2.5513)	Prec@1 39.500 (37.667)	Prec@5 68.000 (68.578)
Epoch: [20][6620/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4666 (2.5514)	Prec@1 44.500 (37.667)	Prec@5 68.500 (68.577)
Epoch: [20][6630/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5297 (2.5514)	Prec@1 39.500 (37.667)	Prec@5 67.000 (68.575)
Epoch: [20][6640/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5778 (2.5514)	Prec@1 39.500 (37.664)	Prec@5 68.000 (68.576)
Epoch: [20][6650/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6025 (2.5513)	Prec@1 36.500 (37.666)	Prec@5 63.500 (68.576)
Epoch: [20][6660/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3592 (2.5513)	Prec@1 41.500 (37.669)	Prec@5 75.000 (68.578)
Epoch: [20][6670/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8311 (2.5513)	Prec@1 34.000 (37.666)	Prec@5 64.500 (68.577)
Epoch: [20][6680/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5941 (2.5513)	Prec@1 41.500 (37.668)	Prec@5 65.500 (68.579)
Epoch: [20][6690/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5523 (2.5513)	Prec@1 37.000 (37.667)	Prec@5 70.500 (68.579)
Epoch: [20][6700/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6315 (2.5514)	Prec@1 39.000 (37.665)	Prec@5 64.000 (68.577)
Epoch: [20][6710/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4281 (2.5514)	Prec@1 38.500 (37.666)	Prec@5 69.500 (68.578)
Epoch: [20][6720/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6598 (2.5514)	Prec@1 33.500 (37.664)	Prec@5 64.000 (68.579)
Epoch: [20][6730/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4862 (2.5513)	Prec@1 36.500 (37.665)	Prec@5 72.000 (68.580)
Epoch: [20][6740/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4713 (2.5512)	Prec@1 39.000 (37.667)	Prec@5 69.000 (68.583)
Epoch: [20][6750/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6690 (2.5512)	Prec@1 37.500 (37.670)	Prec@5 68.000 (68.582)
Epoch: [20][6760/9018]	Time 0.646 (0.615)	Data 0.001 (0.001)	Loss 2.5998 (2.5512)	Prec@1 37.000 (37.670)	Prec@5 69.000 (68.581)
Epoch: [20][6770/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5600 (2.5511)	Prec@1 40.000 (37.673)	Prec@5 68.000 (68.581)
Epoch: [20][6780/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7890 (2.5512)	Prec@1 37.000 (37.672)	Prec@5 63.500 (68.580)
Epoch: [20][6790/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5955 (2.5511)	Prec@1 36.500 (37.673)	Prec@5 67.000 (68.582)
Epoch: [20][6800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7160 (2.5511)	Prec@1 33.500 (37.672)	Prec@5 66.500 (68.581)
Epoch: [20][6810/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4985 (2.5511)	Prec@1 41.500 (37.673)	Prec@5 69.500 (68.581)
Epoch: [20][6820/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5530 (2.5512)	Prec@1 36.500 (37.671)	Prec@5 69.000 (68.580)
Epoch: [20][6830/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4146 (2.5512)	Prec@1 39.500 (37.670)	Prec@5 70.500 (68.579)
Epoch: [20][6840/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4684 (2.5512)	Prec@1 32.000 (37.670)	Prec@5 72.500 (68.580)
Epoch: [20][6850/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5148 (2.5512)	Prec@1 42.000 (37.671)	Prec@5 69.500 (68.580)
Epoch: [20][6860/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 2.7778 (2.5512)	Prec@1 33.000 (37.672)	Prec@5 63.500 (68.579)
Epoch: [20][6870/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5780 (2.5513)	Prec@1 34.000 (37.668)	Prec@5 65.500 (68.577)
Epoch: [20][6880/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5731 (2.5514)	Prec@1 38.000 (37.663)	Prec@5 67.500 (68.577)
Epoch: [20][6890/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5512 (2.5513)	Prec@1 34.500 (37.665)	Prec@5 69.000 (68.577)
Epoch: [20][6900/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5081 (2.5512)	Prec@1 39.000 (37.666)	Prec@5 70.000 (68.578)
Epoch: [20][6910/9018]	Time 0.751 (0.615)	Data 0.001 (0.001)	Loss 2.6061 (2.5512)	Prec@1 34.500 (37.668)	Prec@5 65.000 (68.577)
Epoch: [20][6920/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5346 (2.5512)	Prec@1 39.500 (37.667)	Prec@5 70.500 (68.576)
Epoch: [20][6930/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7251 (2.5513)	Prec@1 35.500 (37.666)	Prec@5 66.000 (68.576)
Epoch: [20][6940/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7306 (2.5512)	Prec@1 36.500 (37.666)	Prec@5 62.500 (68.577)
Epoch: [20][6950/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6674 (2.5512)	Prec@1 33.500 (37.667)	Prec@5 68.000 (68.578)
Epoch: [20][6960/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6550 (2.5513)	Prec@1 35.500 (37.667)	Prec@5 68.000 (68.578)
Epoch: [20][6970/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6723 (2.5513)	Prec@1 37.500 (37.667)	Prec@5 64.000 (68.577)
Epoch: [20][6980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6330 (2.5513)	Prec@1 34.000 (37.667)	Prec@5 65.000 (68.577)
Epoch: [20][6990/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5893 (2.5513)	Prec@1 36.500 (37.665)	Prec@5 69.000 (68.576)
Epoch: [20][7000/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5349 (2.5513)	Prec@1 32.000 (37.664)	Prec@5 69.500 (68.576)
Epoch: [20][7010/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5026 (2.5512)	Prec@1 38.500 (37.665)	Prec@5 63.000 (68.577)
Epoch: [20][7020/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6178 (2.5512)	Prec@1 35.500 (37.664)	Prec@5 67.000 (68.576)
Epoch: [20][7030/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4205 (2.5513)	Prec@1 37.000 (37.662)	Prec@5 71.500 (68.574)
Epoch: [20][7040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5610 (2.5513)	Prec@1 41.000 (37.662)	Prec@5 68.000 (68.575)
Epoch: [20][7050/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3454 (2.5514)	Prec@1 39.000 (37.660)	Prec@5 71.000 (68.574)
Epoch: [20][7060/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7125 (2.5513)	Prec@1 35.000 (37.659)	Prec@5 62.000 (68.573)
Epoch: [20][7070/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.9396 (2.5514)	Prec@1 32.500 (37.658)	Prec@5 67.500 (68.573)
Epoch: [20][7080/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4589 (2.5514)	Prec@1 38.500 (37.658)	Prec@5 70.500 (68.573)
Epoch: [20][7090/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4807 (2.5514)	Prec@1 41.500 (37.657)	Prec@5 71.500 (68.572)
Epoch: [20][7100/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6946 (2.5515)	Prec@1 34.500 (37.655)	Prec@5 65.500 (68.570)
Epoch: [20][7110/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.3428 (2.5514)	Prec@1 42.500 (37.656)	Prec@5 71.500 (68.572)
Epoch: [20][7120/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5863 (2.5515)	Prec@1 38.500 (37.656)	Prec@5 67.000 (68.572)
Epoch: [20][7130/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5484 (2.5515)	Prec@1 39.000 (37.657)	Prec@5 66.500 (68.573)
Epoch: [20][7140/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.7635 (2.5515)	Prec@1 32.000 (37.655)	Prec@5 63.000 (68.573)
Epoch: [20][7150/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8154 (2.5516)	Prec@1 32.500 (37.655)	Prec@5 64.500 (68.571)
Epoch: [20][7160/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4300 (2.5516)	Prec@1 41.500 (37.655)	Prec@5 71.500 (68.570)
Epoch: [20][7170/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5184 (2.5515)	Prec@1 39.500 (37.658)	Prec@5 69.000 (68.571)
Epoch: [20][7180/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5366 (2.5515)	Prec@1 36.500 (37.658)	Prec@5 63.500 (68.570)
Epoch: [20][7190/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.4775 (2.5515)	Prec@1 40.500 (37.657)	Prec@5 70.500 (68.572)
Epoch: [20][7200/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6077 (2.5515)	Prec@1 38.500 (37.656)	Prec@5 70.000 (68.572)
Epoch: [20][7210/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9837 (2.5516)	Prec@1 31.500 (37.653)	Prec@5 58.000 (68.569)
Epoch: [20][7220/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6805 (2.5517)	Prec@1 35.000 (37.652)	Prec@5 64.000 (68.567)
Epoch: [20][7230/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6787 (2.5517)	Prec@1 38.000 (37.651)	Prec@5 66.500 (68.566)
Epoch: [20][7240/9018]	Time 0.758 (0.615)	Data 0.001 (0.001)	Loss 2.5868 (2.5518)	Prec@1 40.500 (37.652)	Prec@5 68.500 (68.566)
Epoch: [20][7250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7238 (2.5518)	Prec@1 31.500 (37.649)	Prec@5 64.000 (68.565)
Epoch: [20][7260/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5082 (2.5519)	Prec@1 38.000 (37.646)	Prec@5 70.500 (68.563)
Epoch: [20][7270/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5381 (2.5519)	Prec@1 39.000 (37.645)	Prec@5 66.000 (68.563)
Epoch: [20][7280/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5113 (2.5519)	Prec@1 38.000 (37.644)	Prec@5 70.500 (68.563)
Epoch: [20][7290/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5280 (2.5520)	Prec@1 43.000 (37.643)	Prec@5 71.000 (68.562)
Epoch: [20][7300/9018]	Time 0.650 (0.615)	Data 0.001 (0.001)	Loss 2.6840 (2.5519)	Prec@1 36.000 (37.646)	Prec@5 67.000 (68.560)
Epoch: [20][7310/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5293 (2.5520)	Prec@1 39.500 (37.646)	Prec@5 73.500 (68.562)
Epoch: [20][7320/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.8092 (2.5520)	Prec@1 34.500 (37.646)	Prec@5 64.000 (68.560)
Epoch: [20][7330/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3257 (2.5520)	Prec@1 37.500 (37.647)	Prec@5 72.000 (68.561)
Epoch: [20][7340/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6838 (2.5520)	Prec@1 35.000 (37.647)	Prec@5 69.000 (68.561)
Epoch: [20][7350/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.4326 (2.5520)	Prec@1 42.000 (37.649)	Prec@5 73.000 (68.561)
Epoch: [20][7360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5094 (2.5520)	Prec@1 37.000 (37.650)	Prec@5 70.500 (68.563)
Epoch: [20][7370/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5329 (2.5521)	Prec@1 38.500 (37.648)	Prec@5 69.500 (68.561)
Epoch: [20][7380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5321 (2.5520)	Prec@1 39.000 (37.652)	Prec@5 67.500 (68.561)
Epoch: [20][7390/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5839 (2.5520)	Prec@1 37.500 (37.653)	Prec@5 69.500 (68.561)
Epoch: [20][7400/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5995 (2.5521)	Prec@1 38.000 (37.651)	Prec@5 70.000 (68.559)
Epoch: [20][7410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5472 (2.5521)	Prec@1 36.500 (37.652)	Prec@5 69.500 (68.560)
Epoch: [20][7420/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8584 (2.5520)	Prec@1 34.000 (37.655)	Prec@5 60.000 (68.561)
Epoch: [20][7430/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4780 (2.5520)	Prec@1 39.500 (37.655)	Prec@5 69.500 (68.561)
Epoch: [20][7440/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6214 (2.5520)	Prec@1 40.000 (37.656)	Prec@5 69.500 (68.561)
Epoch: [20][7450/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7442 (2.5520)	Prec@1 29.000 (37.655)	Prec@5 62.500 (68.560)
Epoch: [20][7460/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5240 (2.5520)	Prec@1 33.500 (37.655)	Prec@5 68.500 (68.561)
Epoch: [20][7470/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7012 (2.5520)	Prec@1 42.000 (37.656)	Prec@5 66.000 (68.562)
Epoch: [20][7480/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4143 (2.5520)	Prec@1 41.500 (37.655)	Prec@5 73.000 (68.561)
Epoch: [20][7490/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6366 (2.5520)	Prec@1 41.500 (37.656)	Prec@5 65.000 (68.559)
Epoch: [20][7500/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5507 (2.5520)	Prec@1 39.000 (37.658)	Prec@5 68.500 (68.560)
Epoch: [20][7510/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4861 (2.5520)	Prec@1 37.500 (37.658)	Prec@5 73.500 (68.562)
Epoch: [20][7520/9018]	Time 0.754 (0.615)	Data 0.001 (0.001)	Loss 2.6930 (2.5520)	Prec@1 35.500 (37.657)	Prec@5 67.000 (68.561)
Epoch: [20][7530/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.7341 (2.5521)	Prec@1 34.500 (37.654)	Prec@5 70.000 (68.561)
Epoch: [20][7540/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5226 (2.5520)	Prec@1 39.000 (37.654)	Prec@5 67.000 (68.561)
Epoch: [20][7550/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5822 (2.5522)	Prec@1 34.000 (37.650)	Prec@5 69.500 (68.559)
Epoch: [20][7560/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8399 (2.5522)	Prec@1 35.000 (37.650)	Prec@5 64.500 (68.559)
Epoch: [20][7570/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.7104 (2.5523)	Prec@1 31.500 (37.649)	Prec@5 66.000 (68.555)
Epoch: [20][7580/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4265 (2.5523)	Prec@1 39.000 (37.648)	Prec@5 71.500 (68.553)
Epoch: [20][7590/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4417 (2.5523)	Prec@1 39.500 (37.650)	Prec@5 70.500 (68.554)
Epoch: [20][7600/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6827 (2.5522)	Prec@1 32.000 (37.650)	Prec@5 68.000 (68.555)
Epoch: [20][7610/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4030 (2.5522)	Prec@1 37.500 (37.652)	Prec@5 72.500 (68.556)
Epoch: [20][7620/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6784 (2.5522)	Prec@1 33.500 (37.651)	Prec@5 67.500 (68.557)
Epoch: [20][7630/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4962 (2.5522)	Prec@1 37.500 (37.652)	Prec@5 64.500 (68.556)
Epoch: [20][7640/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.5965 (2.5522)	Prec@1 33.500 (37.651)	Prec@5 65.500 (68.557)
Epoch: [20][7650/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6702 (2.5522)	Prec@1 35.500 (37.652)	Prec@5 69.000 (68.557)
Epoch: [20][7660/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5740 (2.5522)	Prec@1 37.000 (37.652)	Prec@5 68.000 (68.555)
Epoch: [20][7670/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5819 (2.5522)	Prec@1 37.000 (37.654)	Prec@5 68.000 (68.554)
Epoch: [20][7680/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7215 (2.5523)	Prec@1 31.500 (37.654)	Prec@5 65.000 (68.556)
Epoch: [20][7690/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7164 (2.5522)	Prec@1 34.000 (37.655)	Prec@5 63.500 (68.557)
Epoch: [20][7700/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4934 (2.5522)	Prec@1 44.500 (37.657)	Prec@5 69.000 (68.555)
Epoch: [20][7710/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7077 (2.5523)	Prec@1 36.000 (37.655)	Prec@5 64.500 (68.554)
Epoch: [20][7720/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4111 (2.5523)	Prec@1 37.500 (37.655)	Prec@5 70.000 (68.554)
Epoch: [20][7730/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4321 (2.5522)	Prec@1 37.500 (37.658)	Prec@5 73.000 (68.554)
Epoch: [20][7740/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7959 (2.5522)	Prec@1 36.500 (37.659)	Prec@5 63.000 (68.554)
Epoch: [20][7750/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7241 (2.5523)	Prec@1 34.500 (37.657)	Prec@5 66.000 (68.553)
Epoch: [20][7760/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5843 (2.5523)	Prec@1 34.000 (37.654)	Prec@5 68.000 (68.553)
Epoch: [20][7770/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3963 (2.5522)	Prec@1 41.000 (37.656)	Prec@5 74.000 (68.555)
Epoch: [20][7780/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4622 (2.5522)	Prec@1 37.500 (37.656)	Prec@5 71.000 (68.555)
Epoch: [20][7790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6196 (2.5522)	Prec@1 37.000 (37.656)	Prec@5 68.500 (68.556)
Epoch: [20][7800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3323 (2.5522)	Prec@1 38.000 (37.655)	Prec@5 73.000 (68.556)
Epoch: [20][7810/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5098 (2.5522)	Prec@1 35.000 (37.655)	Prec@5 65.000 (68.554)
Epoch: [20][7820/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7721 (2.5523)	Prec@1 33.000 (37.653)	Prec@5 60.500 (68.553)
Epoch: [20][7830/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5232 (2.5524)	Prec@1 38.000 (37.651)	Prec@5 71.000 (68.551)
Epoch: [20][7840/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2226 (2.5524)	Prec@1 44.000 (37.653)	Prec@5 75.000 (68.553)
Epoch: [20][7850/9018]	Time 0.756 (0.615)	Data 0.001 (0.001)	Loss 2.6245 (2.5524)	Prec@1 34.500 (37.654)	Prec@5 63.500 (68.553)
Epoch: [20][7860/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.8172 (2.5523)	Prec@1 34.500 (37.655)	Prec@5 62.500 (68.554)
Epoch: [20][7870/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6795 (2.5523)	Prec@1 34.500 (37.658)	Prec@5 64.000 (68.553)
Epoch: [20][7880/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5160 (2.5524)	Prec@1 45.500 (37.657)	Prec@5 66.500 (68.551)
Epoch: [20][7890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4744 (2.5524)	Prec@1 40.500 (37.657)	Prec@5 69.500 (68.551)
Epoch: [20][7900/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.7983 (2.5525)	Prec@1 28.000 (37.652)	Prec@5 61.000 (68.550)
Epoch: [20][7910/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.3884 (2.5524)	Prec@1 42.000 (37.653)	Prec@5 71.500 (68.550)
Epoch: [20][7920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6809 (2.5525)	Prec@1 32.500 (37.652)	Prec@5 64.000 (68.548)
Epoch: [20][7930/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5067 (2.5526)	Prec@1 41.000 (37.650)	Prec@5 68.500 (68.547)
Epoch: [20][7940/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.2952 (2.5525)	Prec@1 41.500 (37.651)	Prec@5 72.500 (68.547)
Epoch: [20][7950/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7364 (2.5526)	Prec@1 36.500 (37.650)	Prec@5 65.500 (68.546)
Epoch: [20][7960/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6023 (2.5526)	Prec@1 34.500 (37.648)	Prec@5 65.000 (68.545)
Epoch: [20][7970/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.8256 (2.5526)	Prec@1 34.000 (37.649)	Prec@5 61.000 (68.545)
Epoch: [20][7980/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7006 (2.5527)	Prec@1 38.500 (37.647)	Prec@5 63.500 (68.543)
Epoch: [20][7990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5349 (2.5527)	Prec@1 37.000 (37.648)	Prec@5 68.000 (68.543)
Epoch: [20][8000/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7109 (2.5526)	Prec@1 35.500 (37.650)	Prec@5 61.500 (68.543)
Epoch: [20][8010/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6122 (2.5527)	Prec@1 33.500 (37.649)	Prec@5 73.000 (68.543)
Epoch: [20][8020/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6936 (2.5528)	Prec@1 35.500 (37.648)	Prec@5 67.500 (68.541)
Epoch: [20][8030/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4400 (2.5528)	Prec@1 39.500 (37.648)	Prec@5 71.000 (68.540)
Epoch: [20][8040/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5665 (2.5529)	Prec@1 36.500 (37.646)	Prec@5 68.000 (68.539)
Epoch: [20][8050/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7995 (2.5529)	Prec@1 35.000 (37.646)	Prec@5 65.500 (68.539)
Epoch: [20][8060/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6135 (2.5529)	Prec@1 35.500 (37.646)	Prec@5 67.500 (68.538)
Epoch: [20][8070/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5499 (2.5529)	Prec@1 37.000 (37.646)	Prec@5 73.500 (68.539)
Epoch: [20][8080/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5919 (2.5530)	Prec@1 40.500 (37.645)	Prec@5 67.000 (68.538)
Epoch: [20][8090/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3851 (2.5529)	Prec@1 42.500 (37.647)	Prec@5 71.500 (68.539)
Epoch: [20][8100/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8330 (2.5529)	Prec@1 31.500 (37.645)	Prec@5 65.000 (68.539)
Epoch: [20][8110/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4882 (2.5528)	Prec@1 37.500 (37.647)	Prec@5 72.500 (68.540)
Epoch: [20][8120/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7713 (2.5529)	Prec@1 35.500 (37.646)	Prec@5 67.000 (68.539)
Epoch: [20][8130/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5815 (2.5528)	Prec@1 34.000 (37.646)	Prec@5 65.500 (68.539)
Epoch: [20][8140/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5888 (2.5528)	Prec@1 32.000 (37.646)	Prec@5 71.500 (68.539)
Epoch: [20][8150/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5269 (2.5528)	Prec@1 38.000 (37.646)	Prec@5 72.000 (68.540)
Epoch: [20][8160/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6057 (2.5529)	Prec@1 35.000 (37.644)	Prec@5 69.000 (68.538)
Epoch: [20][8170/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3741 (2.5529)	Prec@1 39.500 (37.642)	Prec@5 72.500 (68.537)
Epoch: [20][8180/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.5631 (2.5528)	Prec@1 40.000 (37.647)	Prec@5 68.500 (68.537)
Epoch: [20][8190/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4576 (2.5528)	Prec@1 39.500 (37.645)	Prec@5 70.500 (68.539)
Epoch: [20][8200/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5142 (2.5527)	Prec@1 41.000 (37.646)	Prec@5 68.000 (68.539)
Epoch: [20][8210/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6234 (2.5528)	Prec@1 36.000 (37.645)	Prec@5 68.500 (68.537)
Epoch: [20][8220/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7219 (2.5530)	Prec@1 36.500 (37.645)	Prec@5 65.500 (68.535)
Epoch: [20][8230/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 2.6973 (2.5530)	Prec@1 35.000 (37.645)	Prec@5 62.500 (68.536)
Epoch: [20][8240/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4978 (2.5529)	Prec@1 39.000 (37.645)	Prec@5 70.500 (68.536)
Epoch: [20][8250/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6032 (2.5529)	Prec@1 41.000 (37.646)	Prec@5 70.000 (68.536)
Epoch: [20][8260/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5179 (2.5529)	Prec@1 36.000 (37.646)	Prec@5 70.000 (68.536)
Epoch: [20][8270/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5066 (2.5529)	Prec@1 39.500 (37.647)	Prec@5 67.500 (68.537)
Epoch: [20][8280/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4942 (2.5528)	Prec@1 40.000 (37.649)	Prec@5 69.500 (68.538)
Epoch: [20][8290/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5079 (2.5529)	Prec@1 35.000 (37.647)	Prec@5 71.000 (68.535)
Epoch: [20][8300/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6072 (2.5530)	Prec@1 37.500 (37.647)	Prec@5 66.500 (68.533)
Epoch: [20][8310/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4361 (2.5530)	Prec@1 41.000 (37.647)	Prec@5 70.000 (68.533)
Epoch: [20][8320/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6196 (2.5531)	Prec@1 38.500 (37.647)	Prec@5 62.500 (68.531)
Epoch: [20][8330/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4782 (2.5531)	Prec@1 40.000 (37.646)	Prec@5 71.500 (68.532)
Epoch: [20][8340/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6919 (2.5531)	Prec@1 32.000 (37.644)	Prec@5 65.500 (68.530)
Epoch: [20][8350/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6378 (2.5532)	Prec@1 36.500 (37.643)	Prec@5 64.500 (68.528)
Epoch: [20][8360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6905 (2.5532)	Prec@1 37.000 (37.642)	Prec@5 64.500 (68.527)
Epoch: [20][8370/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5662 (2.5532)	Prec@1 35.000 (37.643)	Prec@5 70.000 (68.527)
Epoch: [20][8380/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4802 (2.5532)	Prec@1 39.000 (37.644)	Prec@5 71.500 (68.526)
Epoch: [20][8390/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5184 (2.5532)	Prec@1 35.000 (37.644)	Prec@5 68.000 (68.527)
Epoch: [20][8400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.9080 (2.5532)	Prec@1 33.500 (37.646)	Prec@5 63.500 (68.528)
Epoch: [20][8410/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3631 (2.5532)	Prec@1 42.000 (37.645)	Prec@5 73.500 (68.529)
Epoch: [20][8420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5432 (2.5532)	Prec@1 38.000 (37.644)	Prec@5 69.500 (68.528)
Epoch: [20][8430/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5351 (2.5532)	Prec@1 37.500 (37.645)	Prec@5 73.000 (68.528)
Epoch: [20][8440/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.1573 (2.5532)	Prec@1 46.500 (37.645)	Prec@5 78.000 (68.529)
Epoch: [20][8450/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2686 (2.5532)	Prec@1 42.500 (37.645)	Prec@5 72.000 (68.529)
Epoch: [20][8460/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4340 (2.5533)	Prec@1 41.500 (37.646)	Prec@5 72.000 (68.528)
Epoch: [20][8470/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6870 (2.5534)	Prec@1 29.500 (37.644)	Prec@5 62.500 (68.526)
Epoch: [20][8480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7147 (2.5534)	Prec@1 39.500 (37.644)	Prec@5 69.500 (68.526)
Epoch: [20][8490/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3772 (2.5534)	Prec@1 37.500 (37.645)	Prec@5 69.500 (68.528)
Epoch: [20][8500/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6596 (2.5535)	Prec@1 38.500 (37.646)	Prec@5 66.000 (68.527)
Epoch: [20][8510/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.5075 (2.5534)	Prec@1 39.000 (37.646)	Prec@5 69.000 (68.530)
Epoch: [20][8520/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6532 (2.5534)	Prec@1 37.500 (37.645)	Prec@5 62.000 (68.529)
Epoch: [20][8530/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5412 (2.5534)	Prec@1 37.500 (37.644)	Prec@5 65.500 (68.528)
Epoch: [20][8540/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5623 (2.5535)	Prec@1 36.000 (37.643)	Prec@5 68.000 (68.526)
Epoch: [20][8550/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7843 (2.5535)	Prec@1 35.000 (37.645)	Prec@5 67.000 (68.527)
Epoch: [20][8560/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.3019 (2.5535)	Prec@1 40.000 (37.645)	Prec@5 73.500 (68.528)
Epoch: [20][8570/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5833 (2.5534)	Prec@1 37.500 (37.646)	Prec@5 69.000 (68.528)
Epoch: [20][8580/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6622 (2.5534)	Prec@1 36.000 (37.645)	Prec@5 65.500 (68.529)
Epoch: [20][8590/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5034 (2.5536)	Prec@1 39.000 (37.643)	Prec@5 67.000 (68.525)
Epoch: [20][8600/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5752 (2.5536)	Prec@1 37.500 (37.643)	Prec@5 70.000 (68.522)
Epoch: [20][8610/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.4983 (2.5536)	Prec@1 37.000 (37.643)	Prec@5 72.000 (68.522)
Epoch: [20][8620/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7067 (2.5537)	Prec@1 38.000 (37.642)	Prec@5 60.500 (68.520)
Epoch: [20][8630/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4345 (2.5538)	Prec@1 39.500 (37.641)	Prec@5 74.000 (68.521)
Epoch: [20][8640/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5987 (2.5538)	Prec@1 37.500 (37.642)	Prec@5 66.500 (68.520)
Epoch: [20][8650/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6424 (2.5538)	Prec@1 36.500 (37.642)	Prec@5 63.500 (68.521)
Epoch: [20][8660/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4243 (2.5538)	Prec@1 39.000 (37.643)	Prec@5 71.000 (68.523)
Epoch: [20][8670/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4251 (2.5537)	Prec@1 37.500 (37.644)	Prec@5 69.000 (68.524)
Epoch: [20][8680/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4267 (2.5536)	Prec@1 39.000 (37.646)	Prec@5 71.500 (68.524)
Epoch: [20][8690/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.5417 (2.5537)	Prec@1 39.000 (37.645)	Prec@5 68.000 (68.523)
Epoch: [20][8700/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7152 (2.5537)	Prec@1 34.000 (37.647)	Prec@5 63.500 (68.522)
Epoch: [20][8710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4266 (2.5538)	Prec@1 39.000 (37.647)	Prec@5 72.000 (68.521)
Epoch: [20][8720/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5217 (2.5537)	Prec@1 33.500 (37.648)	Prec@5 70.500 (68.522)
Epoch: [20][8730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6164 (2.5537)	Prec@1 38.000 (37.647)	Prec@5 65.500 (68.521)
Epoch: [20][8740/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7367 (2.5538)	Prec@1 32.500 (37.646)	Prec@5 66.000 (68.521)
Epoch: [20][8750/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8070 (2.5538)	Prec@1 34.000 (37.644)	Prec@5 63.000 (68.520)
Epoch: [20][8760/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4502 (2.5538)	Prec@1 38.000 (37.644)	Prec@5 68.500 (68.520)
Epoch: [20][8770/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5951 (2.5538)	Prec@1 38.000 (37.645)	Prec@5 67.500 (68.521)
Epoch: [20][8780/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5691 (2.5538)	Prec@1 35.000 (37.645)	Prec@5 69.500 (68.522)
Epoch: [20][8790/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4343 (2.5537)	Prec@1 36.000 (37.647)	Prec@5 71.500 (68.524)
Epoch: [20][8800/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6897 (2.5537)	Prec@1 34.500 (37.646)	Prec@5 69.500 (68.524)
Epoch: [20][8810/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5462 (2.5537)	Prec@1 35.500 (37.646)	Prec@5 67.500 (68.525)
Epoch: [20][8820/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7669 (2.5537)	Prec@1 35.000 (37.646)	Prec@5 62.000 (68.525)
Epoch: [20][8830/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4533 (2.5536)	Prec@1 43.000 (37.646)	Prec@5 67.500 (68.526)
Epoch: [20][8840/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.4331 (2.5536)	Prec@1 40.500 (37.646)	Prec@5 71.000 (68.526)
Epoch: [20][8850/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4694 (2.5537)	Prec@1 34.500 (37.645)	Prec@5 69.000 (68.524)
Epoch: [20][8860/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4401 (2.5537)	Prec@1 42.000 (37.646)	Prec@5 71.500 (68.523)
Epoch: [20][8870/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6362 (2.5537)	Prec@1 41.500 (37.647)	Prec@5 69.000 (68.525)
Epoch: [20][8880/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7271 (2.5536)	Prec@1 36.500 (37.650)	Prec@5 66.500 (68.526)
Epoch: [20][8890/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.7759 (2.5536)	Prec@1 39.000 (37.651)	Prec@5 61.500 (68.526)
Epoch: [20][8900/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5223 (2.5536)	Prec@1 33.500 (37.652)	Prec@5 64.000 (68.527)
Epoch: [20][8910/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2975 (2.5535)	Prec@1 44.000 (37.653)	Prec@5 71.500 (68.529)
Epoch: [20][8920/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6480 (2.5534)	Prec@1 36.000 (37.655)	Prec@5 67.500 (68.530)
Epoch: [20][8930/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5584 (2.5534)	Prec@1 38.500 (37.657)	Prec@5 68.000 (68.531)
Epoch: [20][8940/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4827 (2.5534)	Prec@1 38.500 (37.658)	Prec@5 69.500 (68.532)
Epoch: [20][8950/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.3092 (2.5534)	Prec@1 42.000 (37.659)	Prec@5 75.500 (68.534)
Epoch: [20][8960/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7420 (2.5534)	Prec@1 32.500 (37.660)	Prec@5 66.000 (68.534)
Epoch: [20][8970/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5101 (2.5534)	Prec@1 38.500 (37.659)	Prec@5 71.500 (68.533)
Epoch: [20][8980/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6122 (2.5534)	Prec@1 38.500 (37.660)	Prec@5 67.000 (68.533)
Epoch: [20][8990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5420 (2.5533)	Prec@1 39.000 (37.661)	Prec@5 70.000 (68.534)
Epoch: [20][9000/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4300 (2.5533)	Prec@1 38.500 (37.661)	Prec@5 72.500 (68.534)
Epoch: [20][9010/9018]	Time 0.598 (0.615)	Data 0.000 (0.001)	Loss 2.5631 (2.5534)	Prec@1 36.500 (37.659)	Prec@5 68.000 (68.535)
Test: [0/183]	Time 1.414 (1.414)	Loss 2.8637 (2.8637)	Prec@1 22.500 (22.500)	Prec@5 63.500 (63.500)
Test: [10/183]	Time 0.193 (0.311)	Loss 2.4607 (2.4064)	Prec@1 45.000 (39.545)	Prec@5 70.000 (72.273)
Test: [20/183]	Time 0.255 (0.259)	Loss 2.6962 (2.2883)	Prec@1 34.000 (41.929)	Prec@5 68.500 (74.714)
Test: [30/183]	Time 0.182 (0.237)	Loss 3.3933 (2.3328)	Prec@1 14.500 (40.355)	Prec@5 43.000 (73.548)
Test: [40/183]	Time 0.192 (0.227)	Loss 2.3283 (2.3460)	Prec@1 35.500 (40.573)	Prec@5 77.000 (72.841)
Test: [50/183]	Time 0.200 (0.220)	Loss 2.1149 (2.3227)	Prec@1 37.500 (41.539)	Prec@5 80.000 (72.990)
Test: [60/183]	Time 0.189 (0.217)	Loss 2.5678 (2.3746)	Prec@1 33.000 (39.877)	Prec@5 70.500 (72.148)
Test: [70/183]	Time 0.261 (0.214)	Loss 1.7432 (2.3404)	Prec@1 57.500 (40.655)	Prec@5 82.000 (72.789)
Test: [80/183]	Time 0.188 (0.211)	Loss 2.0538 (2.3289)	Prec@1 45.000 (40.728)	Prec@5 79.500 (73.136)
Test: [90/183]	Time 0.208 (0.209)	Loss 2.9636 (2.3117)	Prec@1 21.000 (41.115)	Prec@5 63.500 (73.434)
Test: [100/183]	Time 0.191 (0.207)	Loss 1.4274 (2.3273)	Prec@1 64.500 (40.837)	Prec@5 85.000 (73.158)
Test: [110/183]	Time 0.187 (0.206)	Loss 1.4131 (2.3247)	Prec@1 68.000 (41.099)	Prec@5 86.000 (73.086)
Test: [120/183]	Time 0.260 (0.206)	Loss 2.8922 (2.3218)	Prec@1 23.500 (40.773)	Prec@5 60.000 (73.186)
Test: [130/183]	Time 0.189 (0.205)	Loss 3.1693 (2.3273)	Prec@1 23.500 (40.599)	Prec@5 56.500 (73.141)
Test: [140/183]	Time 0.190 (0.204)	Loss 1.6545 (2.3225)	Prec@1 59.000 (40.667)	Prec@5 83.000 (73.340)
Test: [150/183]	Time 0.204 (0.203)	Loss 1.2213 (2.3131)	Prec@1 64.500 (40.917)	Prec@5 92.000 (73.523)
Test: [160/183]	Time 0.186 (0.203)	Loss 2.5039 (2.3050)	Prec@1 37.000 (41.255)	Prec@5 67.000 (73.640)
Test: [170/183]	Time 0.281 (0.203)	Loss 3.2348 (2.3319)	Prec@1 15.500 (40.678)	Prec@5 57.500 (73.137)
Test: [180/183]	Time 0.182 (0.202)	Loss 2.5789 (2.3348)	Prec@1 43.000 (40.710)	Prec@5 68.500 (73.058)
 * Prec@1 40.658 Prec@5 73.033
Epoch: [21][0/9018]	Time 2.850 (2.850)	Data 2.185 (2.185)	Loss 2.5372 (2.5372)	Prec@1 38.500 (38.500)	Prec@5 71.500 (71.500)
Epoch: [21][10/9018]	Time 0.597 (0.814)	Data 0.001 (0.199)	Loss 2.6007 (2.5768)	Prec@1 39.000 (36.727)	Prec@5 67.500 (67.818)
Epoch: [21][20/9018]	Time 0.601 (0.715)	Data 0.001 (0.105)	Loss 2.5320 (2.5747)	Prec@1 36.500 (36.714)	Prec@5 65.000 (67.548)
Epoch: [21][30/9018]	Time 0.605 (0.681)	Data 0.001 (0.071)	Loss 2.5218 (2.5726)	Prec@1 38.500 (36.871)	Prec@5 69.500 (67.839)
Epoch: [21][40/9018]	Time 0.609 (0.664)	Data 0.001 (0.054)	Loss 2.2277 (2.5652)	Prec@1 47.000 (37.110)	Prec@5 78.000 (68.378)
Epoch: [21][50/9018]	Time 0.616 (0.655)	Data 0.001 (0.044)	Loss 2.4141 (2.5589)	Prec@1 39.500 (37.343)	Prec@5 70.500 (68.529)
Epoch: [21][60/9018]	Time 0.610 (0.648)	Data 0.001 (0.037)	Loss 2.5235 (2.5467)	Prec@1 38.500 (37.607)	Prec@5 71.500 (68.689)
Epoch: [21][70/9018]	Time 0.612 (0.645)	Data 0.001 (0.032)	Loss 2.3897 (2.5480)	Prec@1 41.000 (37.669)	Prec@5 72.000 (68.592)
Epoch: [21][80/9018]	Time 0.601 (0.640)	Data 0.001 (0.028)	Loss 2.7540 (2.5553)	Prec@1 32.500 (37.512)	Prec@5 65.500 (68.512)
Epoch: [21][90/9018]	Time 0.600 (0.637)	Data 0.001 (0.025)	Loss 2.4453 (2.5474)	Prec@1 42.000 (37.665)	Prec@5 73.000 (68.731)
Epoch: [21][100/9018]	Time 0.595 (0.635)	Data 0.001 (0.022)	Loss 2.3449 (2.5444)	Prec@1 41.500 (37.540)	Prec@5 72.000 (68.797)
Epoch: [21][110/9018]	Time 0.599 (0.634)	Data 0.001 (0.020)	Loss 2.5614 (2.5401)	Prec@1 35.500 (37.514)	Prec@5 66.000 (68.950)
Epoch: [21][120/9018]	Time 0.599 (0.632)	Data 0.001 (0.019)	Loss 2.4261 (2.5416)	Prec@1 40.000 (37.488)	Prec@5 74.000 (68.901)
Epoch: [21][130/9018]	Time 0.633 (0.630)	Data 0.001 (0.017)	Loss 2.6513 (2.5433)	Prec@1 38.000 (37.485)	Prec@5 66.000 (68.779)
Epoch: [21][140/9018]	Time 0.600 (0.630)	Data 0.001 (0.016)	Loss 2.7816 (2.5430)	Prec@1 33.000 (37.479)	Prec@5 65.000 (68.759)
Epoch: [21][150/9018]	Time 0.603 (0.630)	Data 0.001 (0.015)	Loss 2.3896 (2.5392)	Prec@1 38.000 (37.553)	Prec@5 72.500 (68.785)
Epoch: [21][160/9018]	Time 0.622 (0.629)	Data 0.001 (0.014)	Loss 2.6366 (2.5404)	Prec@1 35.000 (37.621)	Prec@5 68.500 (68.730)
Epoch: [21][170/9018]	Time 0.601 (0.628)	Data 0.001 (0.014)	Loss 2.7724 (2.5399)	Prec@1 30.000 (37.617)	Prec@5 62.500 (68.681)
Epoch: [21][180/9018]	Time 0.611 (0.627)	Data 0.001 (0.013)	Loss 2.6278 (2.5412)	Prec@1 32.500 (37.644)	Prec@5 66.000 (68.655)
Epoch: [21][190/9018]	Time 0.599 (0.626)	Data 0.001 (0.012)	Loss 2.3804 (2.5404)	Prec@1 40.000 (37.673)	Prec@5 71.500 (68.660)
Epoch: [21][200/9018]	Time 0.600 (0.625)	Data 0.001 (0.012)	Loss 2.5482 (2.5401)	Prec@1 40.000 (37.684)	Prec@5 67.000 (68.736)
Epoch: [21][210/9018]	Time 0.620 (0.625)	Data 0.001 (0.011)	Loss 2.7475 (2.5382)	Prec@1 33.000 (37.735)	Prec@5 64.500 (68.744)
Epoch: [21][220/9018]	Time 0.598 (0.625)	Data 0.001 (0.011)	Loss 2.4911 (2.5375)	Prec@1 39.000 (37.767)	Prec@5 70.000 (68.765)
Epoch: [21][230/9018]	Time 0.622 (0.624)	Data 0.001 (0.010)	Loss 2.6289 (2.5371)	Prec@1 37.500 (37.864)	Prec@5 67.500 (68.771)
Epoch: [21][240/9018]	Time 0.598 (0.624)	Data 0.001 (0.010)	Loss 2.3390 (2.5348)	Prec@1 47.500 (37.963)	Prec@5 71.000 (68.867)
Epoch: [21][250/9018]	Time 0.755 (0.624)	Data 0.001 (0.009)	Loss 2.5688 (2.5365)	Prec@1 39.000 (37.952)	Prec@5 68.500 (68.839)
Epoch: [21][260/9018]	Time 0.613 (0.623)	Data 0.001 (0.009)	Loss 2.5034 (2.5376)	Prec@1 39.000 (37.920)	Prec@5 67.500 (68.803)
Epoch: [21][270/9018]	Time 0.607 (0.623)	Data 0.001 (0.009)	Loss 2.6551 (2.5367)	Prec@1 35.500 (37.976)	Prec@5 70.000 (68.841)
Epoch: [21][280/9018]	Time 0.602 (0.622)	Data 0.001 (0.009)	Loss 2.4334 (2.5378)	Prec@1 39.000 (37.874)	Prec@5 72.000 (68.863)
Epoch: [21][290/9018]	Time 0.596 (0.622)	Data 0.001 (0.008)	Loss 2.2135 (2.5348)	Prec@1 43.500 (37.911)	Prec@5 73.500 (68.918)
Epoch: [21][300/9018]	Time 0.728 (0.622)	Data 0.001 (0.008)	Loss 2.4718 (2.5323)	Prec@1 34.500 (37.925)	Prec@5 72.000 (68.957)
Epoch: [21][310/9018]	Time 0.631 (0.622)	Data 0.001 (0.008)	Loss 2.7221 (2.5338)	Prec@1 32.000 (37.859)	Prec@5 64.500 (68.892)
Epoch: [21][320/9018]	Time 0.598 (0.622)	Data 0.001 (0.008)	Loss 2.4813 (2.5350)	Prec@1 41.500 (37.840)	Prec@5 71.000 (68.910)
Epoch: [21][330/9018]	Time 0.615 (0.621)	Data 0.001 (0.007)	Loss 2.6055 (2.5358)	Prec@1 36.000 (37.826)	Prec@5 66.500 (68.881)
Epoch: [21][340/9018]	Time 0.605 (0.621)	Data 0.001 (0.007)	Loss 2.6754 (2.5372)	Prec@1 36.000 (37.762)	Prec@5 66.000 (68.850)
Epoch: [21][350/9018]	Time 0.624 (0.621)	Data 0.001 (0.007)	Loss 2.6071 (2.5371)	Prec@1 32.500 (37.704)	Prec@5 68.000 (68.821)
Epoch: [21][360/9018]	Time 0.631 (0.621)	Data 0.001 (0.007)	Loss 2.5034 (2.5354)	Prec@1 40.000 (37.773)	Prec@5 68.500 (68.861)
Epoch: [21][370/9018]	Time 0.616 (0.621)	Data 0.001 (0.007)	Loss 2.7053 (2.5375)	Prec@1 38.500 (37.760)	Prec@5 66.500 (68.845)
Epoch: [21][380/9018]	Time 0.594 (0.620)	Data 0.001 (0.006)	Loss 2.6172 (2.5386)	Prec@1 39.000 (37.734)	Prec@5 69.000 (68.799)
Epoch: [21][390/9018]	Time 0.634 (0.620)	Data 0.001 (0.006)	Loss 2.5691 (2.5384)	Prec@1 37.500 (37.738)	Prec@5 68.000 (68.830)
Epoch: [21][400/9018]	Time 0.625 (0.620)	Data 0.001 (0.006)	Loss 2.4634 (2.5384)	Prec@1 41.500 (37.736)	Prec@5 70.500 (68.847)
Epoch: [21][410/9018]	Time 0.600 (0.620)	Data 0.001 (0.006)	Loss 2.6314 (2.5385)	Prec@1 36.500 (37.729)	Prec@5 67.500 (68.861)
Epoch: [21][420/9018]	Time 0.590 (0.621)	Data 0.001 (0.006)	Loss 2.6459 (2.5395)	Prec@1 36.500 (37.735)	Prec@5 66.000 (68.821)
Epoch: [21][430/9018]	Time 0.604 (0.620)	Data 0.001 (0.006)	Loss 2.3956 (2.5379)	Prec@1 37.500 (37.751)	Prec@5 70.500 (68.854)
Epoch: [21][440/9018]	Time 0.600 (0.620)	Data 0.001 (0.006)	Loss 2.5218 (2.5384)	Prec@1 39.500 (37.768)	Prec@5 69.000 (68.853)
Epoch: [21][450/9018]	Time 0.626 (0.620)	Data 0.001 (0.006)	Loss 2.5509 (2.5366)	Prec@1 34.000 (37.797)	Prec@5 70.000 (68.896)
Epoch: [21][460/9018]	Time 0.593 (0.620)	Data 0.001 (0.006)	Loss 2.3973 (2.5368)	Prec@1 42.000 (37.779)	Prec@5 69.500 (68.888)
Epoch: [21][470/9018]	Time 0.602 (0.620)	Data 0.001 (0.005)	Loss 2.7183 (2.5364)	Prec@1 29.000 (37.776)	Prec@5 68.500 (68.900)
Epoch: [21][480/9018]	Time 0.620 (0.619)	Data 0.001 (0.005)	Loss 2.5215 (2.5363)	Prec@1 37.500 (37.821)	Prec@5 69.000 (68.904)
Epoch: [21][490/9018]	Time 0.635 (0.619)	Data 0.001 (0.005)	Loss 2.6030 (2.5367)	Prec@1 35.500 (37.792)	Prec@5 68.000 (68.894)
Epoch: [21][500/9018]	Time 0.597 (0.620)	Data 0.001 (0.005)	Loss 2.7010 (2.5373)	Prec@1 35.500 (37.782)	Prec@5 68.500 (68.889)
Epoch: [21][510/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 2.5126 (2.5369)	Prec@1 37.500 (37.788)	Prec@5 70.000 (68.917)
Epoch: [21][520/9018]	Time 0.593 (0.619)	Data 0.001 (0.005)	Loss 2.5469 (2.5359)	Prec@1 40.500 (37.834)	Prec@5 66.000 (68.935)
Epoch: [21][530/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 2.6586 (2.5363)	Prec@1 35.500 (37.820)	Prec@5 70.000 (68.915)
Epoch: [21][540/9018]	Time 0.623 (0.619)	Data 0.001 (0.005)	Loss 2.6769 (2.5363)	Prec@1 34.500 (37.823)	Prec@5 67.500 (68.910)
Epoch: [21][550/9018]	Time 0.623 (0.619)	Data 0.001 (0.005)	Loss 2.7051 (2.5365)	Prec@1 31.500 (37.806)	Prec@5 65.000 (68.889)
Epoch: [21][560/9018]	Time 0.597 (0.619)	Data 0.001 (0.005)	Loss 2.5181 (2.5355)	Prec@1 38.000 (37.836)	Prec@5 68.000 (68.902)
Epoch: [21][570/9018]	Time 0.595 (0.619)	Data 0.001 (0.005)	Loss 2.3744 (2.5350)	Prec@1 41.500 (37.835)	Prec@5 72.500 (68.919)
Epoch: [21][580/9018]	Time 0.720 (0.619)	Data 0.001 (0.005)	Loss 2.7454 (2.5352)	Prec@1 37.000 (37.837)	Prec@5 61.000 (68.916)
Epoch: [21][590/9018]	Time 0.628 (0.619)	Data 0.001 (0.004)	Loss 2.5435 (2.5354)	Prec@1 40.500 (37.837)	Prec@5 69.000 (68.926)
Epoch: [21][600/9018]	Time 0.603 (0.619)	Data 0.001 (0.004)	Loss 2.4058 (2.5367)	Prec@1 44.500 (37.815)	Prec@5 70.000 (68.923)
Epoch: [21][610/9018]	Time 0.634 (0.618)	Data 0.001 (0.004)	Loss 2.7048 (2.5365)	Prec@1 32.500 (37.832)	Prec@5 63.500 (68.926)
Epoch: [21][620/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 2.5410 (2.5358)	Prec@1 36.000 (37.852)	Prec@5 69.500 (68.943)
Epoch: [21][630/9018]	Time 0.756 (0.619)	Data 0.001 (0.004)	Loss 2.3748 (2.5350)	Prec@1 37.000 (37.863)	Prec@5 72.000 (68.941)
Epoch: [21][640/9018]	Time 0.608 (0.619)	Data 0.001 (0.004)	Loss 2.4932 (2.5341)	Prec@1 41.500 (37.894)	Prec@5 67.500 (68.945)
Epoch: [21][650/9018]	Time 0.626 (0.619)	Data 0.001 (0.004)	Loss 2.7949 (2.5348)	Prec@1 33.500 (37.857)	Prec@5 66.000 (68.933)
Epoch: [21][660/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.6388 (2.5345)	Prec@1 40.000 (37.859)	Prec@5 66.500 (68.935)
Epoch: [21][670/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 2.5108 (2.5353)	Prec@1 35.500 (37.860)	Prec@5 71.000 (68.930)
Epoch: [21][680/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 2.5721 (2.5356)	Prec@1 37.000 (37.862)	Prec@5 68.500 (68.930)
Epoch: [21][690/9018]	Time 0.614 (0.618)	Data 0.001 (0.004)	Loss 2.5851 (2.5366)	Prec@1 35.500 (37.846)	Prec@5 71.500 (68.904)
Epoch: [21][700/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 2.6089 (2.5364)	Prec@1 37.000 (37.869)	Prec@5 65.000 (68.890)
Epoch: [21][710/9018]	Time 0.624 (0.618)	Data 0.001 (0.004)	Loss 2.6273 (2.5373)	Prec@1 34.500 (37.852)	Prec@5 68.000 (68.870)
Epoch: [21][720/9018]	Time 0.612 (0.618)	Data 0.001 (0.004)	Loss 2.5668 (2.5373)	Prec@1 36.000 (37.846)	Prec@5 67.500 (68.884)
Epoch: [21][730/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 2.5598 (2.5372)	Prec@1 37.500 (37.853)	Prec@5 68.000 (68.883)
Epoch: [21][740/9018]	Time 0.630 (0.618)	Data 0.001 (0.004)	Loss 2.6309 (2.5371)	Prec@1 35.000 (37.852)	Prec@5 67.000 (68.889)
Epoch: [21][750/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 2.6442 (2.5373)	Prec@1 32.500 (37.832)	Prec@5 66.500 (68.884)
Epoch: [21][760/9018]	Time 0.629 (0.618)	Data 0.001 (0.004)	Loss 2.3853 (2.5374)	Prec@1 39.500 (37.819)	Prec@5 73.000 (68.879)
Epoch: [21][770/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 2.5346 (2.5372)	Prec@1 37.500 (37.824)	Prec@5 71.000 (68.892)
Epoch: [21][780/9018]	Time 0.591 (0.618)	Data 0.001 (0.004)	Loss 2.5397 (2.5375)	Prec@1 40.000 (37.827)	Prec@5 66.500 (68.887)
Epoch: [21][790/9018]	Time 0.632 (0.618)	Data 0.001 (0.004)	Loss 2.4921 (2.5381)	Prec@1 37.500 (37.811)	Prec@5 69.500 (68.867)
Epoch: [21][800/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 2.2308 (2.5377)	Prec@1 47.000 (37.838)	Prec@5 74.500 (68.870)
Epoch: [21][810/9018]	Time 0.631 (0.617)	Data 0.001 (0.003)	Loss 2.8352 (2.5383)	Prec@1 32.500 (37.834)	Prec@5 62.000 (68.861)
Epoch: [21][820/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.5729 (2.5383)	Prec@1 41.000 (37.842)	Prec@5 67.500 (68.871)
Epoch: [21][830/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 2.5407 (2.5394)	Prec@1 40.500 (37.818)	Prec@5 67.500 (68.844)
Epoch: [21][840/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.4214 (2.5398)	Prec@1 44.000 (37.800)	Prec@5 69.500 (68.832)
Epoch: [21][850/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.5157 (2.5399)	Prec@1 38.500 (37.803)	Prec@5 72.000 (68.837)
Epoch: [21][860/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 2.5265 (2.5398)	Prec@1 40.000 (37.805)	Prec@5 68.000 (68.832)
Epoch: [21][870/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.6885 (2.5406)	Prec@1 34.500 (37.794)	Prec@5 67.000 (68.827)
Epoch: [21][880/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.7471 (2.5414)	Prec@1 31.500 (37.771)	Prec@5 67.000 (68.800)
Epoch: [21][890/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.6408 (2.5420)	Prec@1 36.500 (37.749)	Prec@5 71.000 (68.809)
Epoch: [21][900/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.5570 (2.5425)	Prec@1 43.000 (37.761)	Prec@5 68.000 (68.800)
Epoch: [21][910/9018]	Time 0.739 (0.617)	Data 0.001 (0.003)	Loss 2.1898 (2.5428)	Prec@1 44.000 (37.758)	Prec@5 74.000 (68.784)
Epoch: [21][920/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.6840 (2.5433)	Prec@1 33.000 (37.732)	Prec@5 68.000 (68.782)
Epoch: [21][930/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 2.4733 (2.5431)	Prec@1 41.000 (37.733)	Prec@5 70.000 (68.795)
Epoch: [21][940/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.7382 (2.5437)	Prec@1 35.000 (37.718)	Prec@5 64.000 (68.781)
Epoch: [21][950/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.4198 (2.5437)	Prec@1 37.500 (37.727)	Prec@5 73.000 (68.778)
Epoch: [21][960/9018]	Time 0.729 (0.617)	Data 0.001 (0.003)	Loss 2.3163 (2.5427)	Prec@1 42.500 (37.731)	Prec@5 75.500 (68.799)
Epoch: [21][970/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 2.4625 (2.5422)	Prec@1 37.500 (37.732)	Prec@5 71.500 (68.809)
Epoch: [21][980/9018]	Time 0.632 (0.617)	Data 0.001 (0.003)	Loss 2.6401 (2.5429)	Prec@1 35.500 (37.734)	Prec@5 67.000 (68.790)
Epoch: [21][990/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.6419 (2.5430)	Prec@1 37.500 (37.736)	Prec@5 68.500 (68.781)
Epoch: [21][1000/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.3736 (2.5430)	Prec@1 44.500 (37.736)	Prec@5 68.500 (68.778)
Epoch: [21][1010/9018]	Time 0.612 (0.617)	Data 0.001 (0.003)	Loss 2.5891 (2.5440)	Prec@1 37.000 (37.708)	Prec@5 69.000 (68.764)
Epoch: [21][1020/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.7003 (2.5441)	Prec@1 35.000 (37.713)	Prec@5 64.500 (68.774)
Epoch: [21][1030/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.5002 (2.5440)	Prec@1 39.500 (37.710)	Prec@5 67.500 (68.779)
Epoch: [21][1040/9018]	Time 0.636 (0.617)	Data 0.001 (0.003)	Loss 2.5805 (2.5440)	Prec@1 33.000 (37.707)	Prec@5 69.500 (68.785)
Epoch: [21][1050/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.4374 (2.5435)	Prec@1 42.000 (37.712)	Prec@5 74.000 (68.790)
Epoch: [21][1060/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.4325 (2.5440)	Prec@1 36.000 (37.704)	Prec@5 67.000 (68.771)
Epoch: [21][1070/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.4278 (2.5442)	Prec@1 40.000 (37.704)	Prec@5 70.500 (68.768)
Epoch: [21][1080/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.6199 (2.5447)	Prec@1 38.000 (37.701)	Prec@5 68.000 (68.751)
Epoch: [21][1090/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 2.3214 (2.5444)	Prec@1 44.500 (37.711)	Prec@5 72.500 (68.747)
Epoch: [21][1100/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.3957 (2.5440)	Prec@1 38.500 (37.713)	Prec@5 69.000 (68.752)
Epoch: [21][1110/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.3967 (2.5441)	Prec@1 43.500 (37.710)	Prec@5 73.500 (68.753)
Epoch: [21][1120/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.3867 (2.5439)	Prec@1 34.000 (37.723)	Prec@5 76.000 (68.758)
Epoch: [21][1130/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.4967 (2.5440)	Prec@1 36.000 (37.726)	Prec@5 69.500 (68.762)
Epoch: [21][1140/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 2.8816 (2.5437)	Prec@1 32.500 (37.726)	Prec@5 62.000 (68.770)
Epoch: [21][1150/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.8256 (2.5440)	Prec@1 32.500 (37.728)	Prec@5 63.500 (68.762)
Epoch: [21][1160/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.5952 (2.5441)	Prec@1 37.500 (37.719)	Prec@5 70.500 (68.759)
Epoch: [21][1170/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 2.5730 (2.5436)	Prec@1 39.500 (37.730)	Prec@5 71.000 (68.763)
Epoch: [21][1180/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.5332 (2.5440)	Prec@1 34.500 (37.714)	Prec@5 68.000 (68.749)
Epoch: [21][1190/9018]	Time 0.633 (0.617)	Data 0.001 (0.003)	Loss 2.3685 (2.5434)	Prec@1 43.500 (37.727)	Prec@5 71.000 (68.761)
Epoch: [21][1200/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.3341 (2.5429)	Prec@1 41.500 (37.740)	Prec@5 71.500 (68.766)
Epoch: [21][1210/9018]	Time 0.589 (0.617)	Data 0.001 (0.003)	Loss 2.5082 (2.5434)	Prec@1 39.000 (37.728)	Prec@5 67.500 (68.751)
Epoch: [21][1220/9018]	Time 0.630 (0.616)	Data 0.001 (0.003)	Loss 2.6285 (2.5436)	Prec@1 37.500 (37.732)	Prec@5 67.000 (68.748)
Epoch: [21][1230/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.5052 (2.5436)	Prec@1 37.500 (37.728)	Prec@5 67.000 (68.752)
Epoch: [21][1240/9018]	Time 0.714 (0.616)	Data 0.001 (0.003)	Loss 2.5243 (2.5437)	Prec@1 35.000 (37.722)	Prec@5 68.000 (68.749)
Epoch: [21][1250/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.6072 (2.5445)	Prec@1 35.000 (37.699)	Prec@5 65.500 (68.735)
Epoch: [21][1260/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.4573 (2.5448)	Prec@1 41.500 (37.694)	Prec@5 74.000 (68.732)
Epoch: [21][1270/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.4282 (2.5447)	Prec@1 42.500 (37.705)	Prec@5 71.500 (68.741)
Epoch: [21][1280/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.7377 (2.5447)	Prec@1 36.500 (37.711)	Prec@5 65.500 (68.741)
Epoch: [21][1290/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 2.5364 (2.5446)	Prec@1 35.000 (37.716)	Prec@5 70.000 (68.739)
Epoch: [21][1300/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.6395 (2.5445)	Prec@1 37.000 (37.716)	Prec@5 67.000 (68.735)
Epoch: [21][1310/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5759 (2.5439)	Prec@1 39.500 (37.723)	Prec@5 68.500 (68.750)
Epoch: [21][1320/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.6334 (2.5436)	Prec@1 44.500 (37.742)	Prec@5 68.500 (68.747)
Epoch: [21][1330/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.3243 (2.5437)	Prec@1 42.500 (37.736)	Prec@5 69.000 (68.747)
Epoch: [21][1340/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4798 (2.5436)	Prec@1 34.500 (37.724)	Prec@5 68.000 (68.755)
Epoch: [21][1350/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.3888 (2.5436)	Prec@1 45.000 (37.737)	Prec@5 75.000 (68.753)
Epoch: [21][1360/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6163 (2.5437)	Prec@1 38.000 (37.735)	Prec@5 68.000 (68.751)
Epoch: [21][1370/9018]	Time 0.637 (0.616)	Data 0.001 (0.002)	Loss 2.5462 (2.5439)	Prec@1 38.000 (37.733)	Prec@5 68.000 (68.738)
Epoch: [21][1380/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5793 (2.5437)	Prec@1 33.000 (37.728)	Prec@5 66.000 (68.743)
Epoch: [21][1390/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4787 (2.5436)	Prec@1 37.000 (37.726)	Prec@5 68.500 (68.750)
Epoch: [21][1400/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.3056 (2.5437)	Prec@1 41.500 (37.732)	Prec@5 70.000 (68.752)
Epoch: [21][1410/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.4301 (2.5435)	Prec@1 41.500 (37.742)	Prec@5 67.000 (68.753)
Epoch: [21][1420/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.4909 (2.5433)	Prec@1 41.000 (37.745)	Prec@5 70.000 (68.759)
Epoch: [21][1430/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.6280 (2.5428)	Prec@1 35.000 (37.758)	Prec@5 64.500 (68.765)
Epoch: [21][1440/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.7226 (2.5431)	Prec@1 34.000 (37.755)	Prec@5 69.500 (68.758)
Epoch: [21][1450/9018]	Time 0.644 (0.616)	Data 0.001 (0.002)	Loss 2.2350 (2.5429)	Prec@1 49.500 (37.753)	Prec@5 75.000 (68.763)
Epoch: [21][1460/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.4695 (2.5429)	Prec@1 44.000 (37.757)	Prec@5 68.500 (68.765)
Epoch: [21][1470/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3775 (2.5427)	Prec@1 41.500 (37.756)	Prec@5 73.000 (68.770)
Epoch: [21][1480/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.5452 (2.5431)	Prec@1 34.000 (37.749)	Prec@5 70.000 (68.754)
Epoch: [21][1490/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.7414 (2.5431)	Prec@1 34.000 (37.751)	Prec@5 61.000 (68.747)
Epoch: [21][1500/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6282 (2.5431)	Prec@1 36.500 (37.751)	Prec@5 68.000 (68.748)
Epoch: [21][1510/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.3481 (2.5430)	Prec@1 39.500 (37.754)	Prec@5 71.500 (68.745)
Epoch: [21][1520/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.6587 (2.5432)	Prec@1 38.000 (37.752)	Prec@5 68.500 (68.740)
Epoch: [21][1530/9018]	Time 0.639 (0.616)	Data 0.001 (0.002)	Loss 2.3865 (2.5434)	Prec@1 43.500 (37.758)	Prec@5 70.500 (68.732)
Epoch: [21][1540/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5896 (2.5436)	Prec@1 37.500 (37.755)	Prec@5 65.500 (68.729)
Epoch: [21][1550/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.3232 (2.5430)	Prec@1 41.000 (37.767)	Prec@5 74.000 (68.740)
Epoch: [21][1560/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5963 (2.5427)	Prec@1 39.000 (37.772)	Prec@5 63.500 (68.737)
Epoch: [21][1570/9018]	Time 0.740 (0.616)	Data 0.001 (0.002)	Loss 2.7390 (2.5433)	Prec@1 30.000 (37.762)	Prec@5 64.500 (68.720)
Epoch: [21][1580/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.8720 (2.5438)	Prec@1 32.500 (37.756)	Prec@5 62.000 (68.708)
Epoch: [21][1590/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.5437 (2.5437)	Prec@1 36.500 (37.761)	Prec@5 66.000 (68.711)
Epoch: [21][1600/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5726 (2.5437)	Prec@1 34.000 (37.760)	Prec@5 67.000 (68.711)
Epoch: [21][1610/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.5269 (2.5439)	Prec@1 38.500 (37.753)	Prec@5 70.000 (68.707)
Epoch: [21][1620/9018]	Time 0.743 (0.616)	Data 0.001 (0.002)	Loss 2.6033 (2.5440)	Prec@1 37.500 (37.759)	Prec@5 69.500 (68.701)
Epoch: [21][1630/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5604 (2.5441)	Prec@1 35.000 (37.748)	Prec@5 69.000 (68.698)
Epoch: [21][1640/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.3693 (2.5438)	Prec@1 42.500 (37.756)	Prec@5 71.500 (68.706)
Epoch: [21][1650/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.6573 (2.5440)	Prec@1 33.500 (37.754)	Prec@5 67.500 (68.700)
Epoch: [21][1660/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4731 (2.5441)	Prec@1 39.500 (37.753)	Prec@5 71.500 (68.699)
Epoch: [21][1670/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.6525 (2.5441)	Prec@1 35.000 (37.747)	Prec@5 66.000 (68.696)
Epoch: [21][1680/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.5904 (2.5446)	Prec@1 34.000 (37.744)	Prec@5 71.500 (68.690)
Epoch: [21][1690/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.2880 (2.5443)	Prec@1 41.000 (37.750)	Prec@5 77.500 (68.696)
Epoch: [21][1700/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.3062 (2.5441)	Prec@1 43.500 (37.751)	Prec@5 73.500 (68.698)
Epoch: [21][1710/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.3883 (2.5438)	Prec@1 41.000 (37.757)	Prec@5 74.000 (68.705)
Epoch: [21][1720/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.6562 (2.5442)	Prec@1 39.000 (37.752)	Prec@5 62.000 (68.699)
Epoch: [21][1730/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5406 (2.5439)	Prec@1 38.000 (37.760)	Prec@5 71.000 (68.704)
Epoch: [21][1740/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5331 (2.5441)	Prec@1 43.500 (37.766)	Prec@5 66.000 (68.698)
Epoch: [21][1750/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.5179 (2.5442)	Prec@1 36.000 (37.768)	Prec@5 70.500 (68.692)
Epoch: [21][1760/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5743 (2.5443)	Prec@1 39.000 (37.770)	Prec@5 68.000 (68.688)
Epoch: [21][1770/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.7338 (2.5445)	Prec@1 32.500 (37.766)	Prec@5 66.500 (68.684)
Epoch: [21][1780/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.3341 (2.5441)	Prec@1 41.000 (37.775)	Prec@5 75.500 (68.684)
Epoch: [21][1790/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.3695 (2.5439)	Prec@1 44.000 (37.779)	Prec@5 71.500 (68.686)
Epoch: [21][1800/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.5444 (2.5440)	Prec@1 40.500 (37.786)	Prec@5 67.500 (68.683)
Epoch: [21][1810/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6819 (2.5440)	Prec@1 33.000 (37.787)	Prec@5 66.000 (68.680)
Epoch: [21][1820/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5193 (2.5436)	Prec@1 36.500 (37.786)	Prec@5 70.000 (68.688)
Epoch: [21][1830/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.4174 (2.5435)	Prec@1 38.000 (37.778)	Prec@5 73.500 (68.690)
Epoch: [21][1840/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6125 (2.5439)	Prec@1 36.500 (37.775)	Prec@5 66.500 (68.687)
Epoch: [21][1850/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4536 (2.5441)	Prec@1 39.000 (37.768)	Prec@5 71.500 (68.684)
Epoch: [21][1860/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4463 (2.5442)	Prec@1 41.500 (37.770)	Prec@5 72.500 (68.679)
Epoch: [21][1870/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.5613 (2.5447)	Prec@1 38.500 (37.767)	Prec@5 65.000 (68.667)
Epoch: [21][1880/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5548 (2.5449)	Prec@1 36.000 (37.763)	Prec@5 68.000 (68.670)
Epoch: [21][1890/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.6315 (2.5453)	Prec@1 34.000 (37.757)	Prec@5 68.000 (68.667)
Epoch: [21][1900/9018]	Time 0.772 (0.616)	Data 0.001 (0.002)	Loss 2.6204 (2.5456)	Prec@1 34.500 (37.755)	Prec@5 66.000 (68.657)
Epoch: [21][1910/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.3900 (2.5454)	Prec@1 39.000 (37.757)	Prec@5 73.500 (68.666)
Epoch: [21][1920/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4577 (2.5454)	Prec@1 40.500 (37.752)	Prec@5 70.500 (68.669)
Epoch: [21][1930/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6290 (2.5452)	Prec@1 38.000 (37.763)	Prec@5 69.500 (68.674)
Epoch: [21][1940/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6456 (2.5452)	Prec@1 36.500 (37.759)	Prec@5 67.000 (68.679)
Epoch: [21][1950/9018]	Time 0.731 (0.616)	Data 0.001 (0.002)	Loss 2.4751 (2.5447)	Prec@1 43.000 (37.777)	Prec@5 72.500 (68.685)
Epoch: [21][1960/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.7444 (2.5445)	Prec@1 32.500 (37.781)	Prec@5 66.500 (68.687)
Epoch: [21][1970/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6107 (2.5446)	Prec@1 38.500 (37.779)	Prec@5 67.500 (68.693)
Epoch: [21][1980/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.6631 (2.5448)	Prec@1 33.000 (37.773)	Prec@5 63.500 (68.688)
Epoch: [21][1990/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.6860 (2.5449)	Prec@1 32.500 (37.774)	Prec@5 65.500 (68.685)
Epoch: [21][2000/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.4908 (2.5449)	Prec@1 39.500 (37.774)	Prec@5 68.500 (68.687)
Epoch: [21][2010/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.6606 (2.5450)	Prec@1 37.500 (37.780)	Prec@5 69.000 (68.685)
Epoch: [21][2020/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.2904 (2.5448)	Prec@1 45.500 (37.789)	Prec@5 73.500 (68.685)
Epoch: [21][2030/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.3412 (2.5447)	Prec@1 39.500 (37.784)	Prec@5 73.000 (68.692)
Epoch: [21][2040/9018]	Time 0.589 (0.616)	Data 0.001 (0.002)	Loss 2.7169 (2.5449)	Prec@1 32.500 (37.781)	Prec@5 66.500 (68.689)
Epoch: [21][2050/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.7810 (2.5450)	Prec@1 32.000 (37.782)	Prec@5 68.500 (68.681)
Epoch: [21][2060/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.5705 (2.5451)	Prec@1 35.000 (37.780)	Prec@5 70.500 (68.682)
Epoch: [21][2070/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.3485 (2.5451)	Prec@1 41.500 (37.782)	Prec@5 71.500 (68.684)
Epoch: [21][2080/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.3844 (2.5450)	Prec@1 42.000 (37.791)	Prec@5 71.000 (68.679)
Epoch: [21][2090/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4286 (2.5450)	Prec@1 39.000 (37.792)	Prec@5 69.500 (68.681)
Epoch: [21][2100/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6009 (2.5455)	Prec@1 35.000 (37.780)	Prec@5 64.000 (68.670)
Epoch: [21][2110/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.6557 (2.5455)	Prec@1 36.500 (37.782)	Prec@5 67.000 (68.668)
Epoch: [21][2120/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5133 (2.5456)	Prec@1 37.500 (37.780)	Prec@5 69.000 (68.665)
Epoch: [21][2130/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.5849 (2.5461)	Prec@1 41.000 (37.767)	Prec@5 71.500 (68.659)
Epoch: [21][2140/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.5475 (2.5463)	Prec@1 38.000 (37.768)	Prec@5 70.000 (68.652)
Epoch: [21][2150/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.3271 (2.5461)	Prec@1 45.500 (37.778)	Prec@5 73.000 (68.660)
Epoch: [21][2160/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.5202 (2.5460)	Prec@1 40.500 (37.775)	Prec@5 68.000 (68.664)
Epoch: [21][2170/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4519 (2.5457)	Prec@1 40.500 (37.777)	Prec@5 69.000 (68.665)
Epoch: [21][2180/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.4058 (2.5457)	Prec@1 41.500 (37.781)	Prec@5 73.000 (68.664)
Epoch: [21][2190/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.7097 (2.5458)	Prec@1 31.000 (37.777)	Prec@5 66.500 (68.663)
Epoch: [21][2200/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.4243 (2.5458)	Prec@1 41.500 (37.778)	Prec@5 69.500 (68.665)
Epoch: [21][2210/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4540 (2.5458)	Prec@1 42.000 (37.784)	Prec@5 73.500 (68.667)
Epoch: [21][2220/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6599 (2.5457)	Prec@1 34.000 (37.784)	Prec@5 67.500 (68.672)
Epoch: [21][2230/9018]	Time 0.715 (0.616)	Data 0.001 (0.002)	Loss 2.8053 (2.5458)	Prec@1 35.000 (37.785)	Prec@5 61.000 (68.666)
Epoch: [21][2240/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.2108 (2.5458)	Prec@1 49.000 (37.788)	Prec@5 75.000 (68.667)
Epoch: [21][2250/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5036 (2.5454)	Prec@1 37.500 (37.796)	Prec@5 67.000 (68.675)
Epoch: [21][2260/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.7304 (2.5455)	Prec@1 34.000 (37.796)	Prec@5 67.000 (68.671)
Epoch: [21][2270/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4253 (2.5452)	Prec@1 39.000 (37.804)	Prec@5 70.000 (68.675)
Epoch: [21][2280/9018]	Time 0.745 (0.616)	Data 0.001 (0.002)	Loss 2.7198 (2.5453)	Prec@1 38.000 (37.804)	Prec@5 62.000 (68.670)
Epoch: [21][2290/9018]	Time 0.654 (0.616)	Data 0.001 (0.002)	Loss 2.5587 (2.5452)	Prec@1 34.500 (37.800)	Prec@5 75.000 (68.676)
Epoch: [21][2300/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.6457 (2.5454)	Prec@1 33.500 (37.803)	Prec@5 70.000 (68.673)
Epoch: [21][2310/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.5287 (2.5458)	Prec@1 39.000 (37.795)	Prec@5 67.000 (68.669)
Epoch: [21][2320/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5034 (2.5461)	Prec@1 40.500 (37.790)	Prec@5 69.000 (68.665)
Epoch: [21][2330/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.6036 (2.5459)	Prec@1 34.500 (37.790)	Prec@5 68.000 (68.668)
Epoch: [21][2340/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6175 (2.5457)	Prec@1 34.500 (37.790)	Prec@5 72.000 (68.676)
Epoch: [21][2350/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5425 (2.5459)	Prec@1 40.000 (37.788)	Prec@5 66.000 (68.667)
Epoch: [21][2360/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.5169 (2.5457)	Prec@1 37.500 (37.793)	Prec@5 67.500 (68.668)
Epoch: [21][2370/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6829 (2.5460)	Prec@1 36.500 (37.784)	Prec@5 68.500 (68.669)
Epoch: [21][2380/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.7063 (2.5459)	Prec@1 37.500 (37.789)	Prec@5 63.500 (68.673)
Epoch: [21][2390/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.5931 (2.5461)	Prec@1 36.500 (37.781)	Prec@5 71.000 (68.669)
Epoch: [21][2400/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6619 (2.5462)	Prec@1 35.500 (37.782)	Prec@5 68.000 (68.672)
Epoch: [21][2410/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4311 (2.5463)	Prec@1 38.000 (37.777)	Prec@5 69.000 (68.671)
Epoch: [21][2420/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.5211 (2.5463)	Prec@1 40.000 (37.781)	Prec@5 70.000 (68.672)
Epoch: [21][2430/9018]	Time 0.646 (0.616)	Data 0.001 (0.002)	Loss 2.6652 (2.5463)	Prec@1 38.000 (37.787)	Prec@5 67.000 (68.671)
Epoch: [21][2440/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5666 (2.5464)	Prec@1 39.500 (37.790)	Prec@5 65.500 (68.668)
Epoch: [21][2450/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5143 (2.5462)	Prec@1 38.500 (37.790)	Prec@5 69.500 (68.674)
Epoch: [21][2460/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.6272 (2.5461)	Prec@1 35.000 (37.792)	Prec@5 67.500 (68.674)
Epoch: [21][2470/9018]	Time 0.596 (0.615)	Data 0.002 (0.002)	Loss 2.4644 (2.5459)	Prec@1 40.500 (37.803)	Prec@5 69.000 (68.682)
Epoch: [21][2480/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.6352 (2.5456)	Prec@1 36.000 (37.803)	Prec@5 64.500 (68.685)
Epoch: [21][2490/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5936 (2.5454)	Prec@1 40.500 (37.808)	Prec@5 69.500 (68.686)
Epoch: [21][2500/9018]	Time 0.587 (0.615)	Data 0.001 (0.002)	Loss 2.5393 (2.5453)	Prec@1 35.000 (37.810)	Prec@5 70.000 (68.690)
Epoch: [21][2510/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6773 (2.5452)	Prec@1 36.000 (37.816)	Prec@5 68.000 (68.693)
Epoch: [21][2520/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5607 (2.5451)	Prec@1 39.000 (37.815)	Prec@5 69.500 (68.699)
Epoch: [21][2530/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6731 (2.5452)	Prec@1 35.000 (37.811)	Prec@5 66.500 (68.696)
Epoch: [21][2540/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.5471 (2.5453)	Prec@1 42.000 (37.809)	Prec@5 69.500 (68.696)
Epoch: [21][2550/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.5920 (2.5452)	Prec@1 38.500 (37.811)	Prec@5 67.000 (68.696)
Epoch: [21][2560/9018]	Time 0.733 (0.616)	Data 0.001 (0.002)	Loss 2.6463 (2.5452)	Prec@1 40.000 (37.811)	Prec@5 67.000 (68.697)
Epoch: [21][2570/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.4791 (2.5449)	Prec@1 38.500 (37.812)	Prec@5 69.500 (68.701)
Epoch: [21][2580/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.4205 (2.5449)	Prec@1 42.500 (37.810)	Prec@5 72.500 (68.698)
Epoch: [21][2590/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6091 (2.5446)	Prec@1 36.000 (37.817)	Prec@5 68.500 (68.704)
Epoch: [21][2600/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.3920 (2.5444)	Prec@1 42.500 (37.823)	Prec@5 73.500 (68.711)
Epoch: [21][2610/9018]	Time 0.743 (0.615)	Data 0.001 (0.002)	Loss 2.4200 (2.5445)	Prec@1 41.500 (37.822)	Prec@5 71.500 (68.708)
Epoch: [21][2620/9018]	Time 0.638 (0.615)	Data 0.001 (0.002)	Loss 2.6333 (2.5447)	Prec@1 34.500 (37.821)	Prec@5 65.500 (68.701)
Epoch: [21][2630/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5213 (2.5448)	Prec@1 41.000 (37.823)	Prec@5 70.000 (68.698)
Epoch: [21][2640/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.4976 (2.5449)	Prec@1 38.000 (37.820)	Prec@5 68.000 (68.688)
Epoch: [21][2650/9018]	Time 0.589 (0.615)	Data 0.001 (0.002)	Loss 2.6594 (2.5451)	Prec@1 39.500 (37.820)	Prec@5 68.500 (68.689)
Epoch: [21][2660/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 2.7148 (2.5452)	Prec@1 40.000 (37.819)	Prec@5 66.000 (68.690)
Epoch: [21][2670/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.3810 (2.5455)	Prec@1 37.000 (37.811)	Prec@5 69.500 (68.680)
Epoch: [21][2680/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.3585 (2.5455)	Prec@1 38.500 (37.813)	Prec@5 72.500 (68.677)
Epoch: [21][2690/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5822 (2.5457)	Prec@1 34.000 (37.807)	Prec@5 68.000 (68.676)
Epoch: [21][2700/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5470 (2.5457)	Prec@1 37.000 (37.802)	Prec@5 68.000 (68.670)
Epoch: [21][2710/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4549 (2.5458)	Prec@1 38.000 (37.798)	Prec@5 72.000 (68.668)
Epoch: [21][2720/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7093 (2.5460)	Prec@1 34.000 (37.794)	Prec@5 67.500 (68.662)
Epoch: [21][2730/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6744 (2.5462)	Prec@1 36.000 (37.793)	Prec@5 66.000 (68.659)
Epoch: [21][2740/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.4241 (2.5462)	Prec@1 41.000 (37.791)	Prec@5 74.500 (68.660)
Epoch: [21][2750/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5216 (2.5460)	Prec@1 41.000 (37.794)	Prec@5 66.500 (68.663)
Epoch: [21][2760/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6029 (2.5461)	Prec@1 39.000 (37.792)	Prec@5 67.000 (68.657)
Epoch: [21][2770/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6647 (2.5463)	Prec@1 32.500 (37.788)	Prec@5 67.000 (68.656)
Epoch: [21][2780/9018]	Time 0.599 (0.615)	Data 0.003 (0.002)	Loss 2.3650 (2.5465)	Prec@1 37.500 (37.782)	Prec@5 72.000 (68.650)
Epoch: [21][2790/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.5365 (2.5462)	Prec@1 36.000 (37.787)	Prec@5 70.000 (68.660)
Epoch: [21][2800/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4775 (2.5464)	Prec@1 42.000 (37.787)	Prec@5 71.000 (68.656)
Epoch: [21][2810/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.2404 (2.5464)	Prec@1 39.500 (37.785)	Prec@5 75.000 (68.658)
Epoch: [21][2820/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.4583 (2.5463)	Prec@1 42.500 (37.789)	Prec@5 74.500 (68.660)
Epoch: [21][2830/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4936 (2.5460)	Prec@1 38.000 (37.791)	Prec@5 68.500 (68.664)
Epoch: [21][2840/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.4826 (2.5461)	Prec@1 39.000 (37.787)	Prec@5 70.000 (68.665)
Epoch: [21][2850/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6725 (2.5463)	Prec@1 36.000 (37.783)	Prec@5 64.000 (68.663)
Epoch: [21][2860/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5893 (2.5462)	Prec@1 36.500 (37.787)	Prec@5 69.500 (68.662)
Epoch: [21][2870/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.2949 (2.5460)	Prec@1 41.000 (37.789)	Prec@5 74.000 (68.666)
Epoch: [21][2880/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5828 (2.5460)	Prec@1 38.500 (37.789)	Prec@5 69.000 (68.666)
Epoch: [21][2890/9018]	Time 0.692 (0.615)	Data 0.001 (0.002)	Loss 2.5049 (2.5461)	Prec@1 38.000 (37.786)	Prec@5 70.000 (68.666)
Epoch: [21][2900/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.4504 (2.5462)	Prec@1 41.000 (37.788)	Prec@5 70.500 (68.664)
Epoch: [21][2910/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5239 (2.5465)	Prec@1 37.000 (37.781)	Prec@5 67.500 (68.659)
Epoch: [21][2920/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.5597 (2.5467)	Prec@1 40.500 (37.780)	Prec@5 69.500 (68.657)
Epoch: [21][2930/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5923 (2.5466)	Prec@1 37.000 (37.779)	Prec@5 68.500 (68.660)
Epoch: [21][2940/9018]	Time 0.747 (0.615)	Data 0.001 (0.002)	Loss 2.5548 (2.5467)	Prec@1 39.000 (37.774)	Prec@5 70.500 (68.661)
Epoch: [21][2950/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5784 (2.5465)	Prec@1 35.000 (37.776)	Prec@5 62.500 (68.661)
Epoch: [21][2960/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.4482 (2.5465)	Prec@1 38.500 (37.776)	Prec@5 72.500 (68.664)
Epoch: [21][2970/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.4592 (2.5462)	Prec@1 40.000 (37.778)	Prec@5 70.500 (68.667)
Epoch: [21][2980/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.6818 (2.5466)	Prec@1 37.000 (37.771)	Prec@5 65.500 (68.659)
Epoch: [21][2990/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.4111 (2.5465)	Prec@1 38.500 (37.772)	Prec@5 72.500 (68.659)
Epoch: [21][3000/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5262 (2.5466)	Prec@1 47.000 (37.773)	Prec@5 71.500 (68.660)
Epoch: [21][3010/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6572 (2.5465)	Prec@1 35.000 (37.774)	Prec@5 65.500 (68.661)
Epoch: [21][3020/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5403 (2.5464)	Prec@1 37.000 (37.781)	Prec@5 69.000 (68.663)
Epoch: [21][3030/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.3904 (2.5464)	Prec@1 39.000 (37.783)	Prec@5 72.000 (68.664)
Epoch: [21][3040/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6602 (2.5466)	Prec@1 37.000 (37.779)	Prec@5 65.500 (68.660)
Epoch: [21][3050/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.9080 (2.5468)	Prec@1 32.000 (37.774)	Prec@5 64.500 (68.658)
Epoch: [21][3060/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6958 (2.5469)	Prec@1 32.500 (37.771)	Prec@5 63.500 (68.654)
Epoch: [21][3070/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4109 (2.5468)	Prec@1 43.500 (37.775)	Prec@5 73.500 (68.655)
Epoch: [21][3080/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5958 (2.5467)	Prec@1 37.000 (37.773)	Prec@5 67.500 (68.661)
Epoch: [21][3090/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3324 (2.5467)	Prec@1 42.000 (37.774)	Prec@5 72.500 (68.658)
Epoch: [21][3100/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5198 (2.5466)	Prec@1 40.000 (37.773)	Prec@5 66.500 (68.655)
Epoch: [21][3110/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5382 (2.5467)	Prec@1 36.000 (37.770)	Prec@5 69.500 (68.657)
Epoch: [21][3120/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5864 (2.5469)	Prec@1 36.000 (37.769)	Prec@5 68.000 (68.650)
Epoch: [21][3130/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5601 (2.5472)	Prec@1 34.000 (37.767)	Prec@5 69.500 (68.643)
Epoch: [21][3140/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5715 (2.5474)	Prec@1 34.500 (37.760)	Prec@5 68.500 (68.637)
Epoch: [21][3150/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5370 (2.5474)	Prec@1 39.500 (37.763)	Prec@5 68.500 (68.638)
Epoch: [21][3160/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3859 (2.5474)	Prec@1 42.500 (37.764)	Prec@5 70.500 (68.635)
Epoch: [21][3170/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6363 (2.5476)	Prec@1 40.000 (37.763)	Prec@5 65.000 (68.632)
Epoch: [21][3180/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.7816 (2.5476)	Prec@1 37.500 (37.762)	Prec@5 63.000 (68.633)
Epoch: [21][3190/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7454 (2.5477)	Prec@1 30.500 (37.758)	Prec@5 61.500 (68.633)
Epoch: [21][3200/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4953 (2.5478)	Prec@1 38.000 (37.753)	Prec@5 70.500 (68.633)
Epoch: [21][3210/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5434 (2.5478)	Prec@1 38.500 (37.756)	Prec@5 65.500 (68.634)
Epoch: [21][3220/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.2204 (2.5477)	Prec@1 43.000 (37.757)	Prec@5 78.500 (68.636)
Epoch: [21][3230/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6125 (2.5478)	Prec@1 39.000 (37.753)	Prec@5 65.000 (68.633)
Epoch: [21][3240/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5607 (2.5479)	Prec@1 36.500 (37.751)	Prec@5 67.500 (68.627)
Epoch: [21][3250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4135 (2.5478)	Prec@1 40.500 (37.752)	Prec@5 71.500 (68.630)
Epoch: [21][3260/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5627 (2.5479)	Prec@1 39.500 (37.753)	Prec@5 69.000 (68.629)
Epoch: [21][3270/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.7076 (2.5479)	Prec@1 33.500 (37.752)	Prec@5 64.500 (68.627)
Epoch: [21][3280/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5193 (2.5479)	Prec@1 39.000 (37.752)	Prec@5 69.500 (68.625)
Epoch: [21][3290/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4716 (2.5480)	Prec@1 40.500 (37.746)	Prec@5 68.000 (68.621)
Epoch: [21][3300/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5270 (2.5481)	Prec@1 36.500 (37.741)	Prec@5 68.000 (68.619)
Epoch: [21][3310/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7401 (2.5482)	Prec@1 33.500 (37.739)	Prec@5 63.500 (68.621)
Epoch: [21][3320/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3642 (2.5483)	Prec@1 38.000 (37.733)	Prec@5 73.000 (68.620)
Epoch: [21][3330/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7527 (2.5484)	Prec@1 33.500 (37.729)	Prec@5 63.500 (68.616)
Epoch: [21][3340/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6771 (2.5486)	Prec@1 37.500 (37.724)	Prec@5 67.500 (68.611)
Epoch: [21][3350/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.8039 (2.5487)	Prec@1 35.000 (37.723)	Prec@5 63.000 (68.611)
Epoch: [21][3360/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5351 (2.5486)	Prec@1 36.500 (37.722)	Prec@5 70.000 (68.614)
Epoch: [21][3370/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6019 (2.5487)	Prec@1 36.000 (37.722)	Prec@5 66.000 (68.610)
Epoch: [21][3380/9018]	Time 0.645 (0.615)	Data 0.001 (0.001)	Loss 2.2378 (2.5488)	Prec@1 45.000 (37.725)	Prec@5 71.500 (68.610)
Epoch: [21][3390/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7001 (2.5490)	Prec@1 33.500 (37.719)	Prec@5 64.500 (68.603)
Epoch: [21][3400/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5627 (2.5489)	Prec@1 39.500 (37.725)	Prec@5 71.500 (68.605)
Epoch: [21][3410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6958 (2.5487)	Prec@1 37.500 (37.727)	Prec@5 68.500 (68.609)
Epoch: [21][3420/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5735 (2.5489)	Prec@1 38.000 (37.723)	Prec@5 66.000 (68.602)
Epoch: [21][3430/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4364 (2.5488)	Prec@1 38.000 (37.724)	Prec@5 69.000 (68.604)
Epoch: [21][3440/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4648 (2.5488)	Prec@1 38.500 (37.719)	Prec@5 72.500 (68.606)
Epoch: [21][3450/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7057 (2.5488)	Prec@1 35.000 (37.719)	Prec@5 70.500 (68.609)
Epoch: [21][3460/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6892 (2.5490)	Prec@1 39.500 (37.716)	Prec@5 62.500 (68.604)
Epoch: [21][3470/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6459 (2.5491)	Prec@1 38.000 (37.718)	Prec@5 64.000 (68.601)
Epoch: [21][3480/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5521 (2.5490)	Prec@1 38.000 (37.719)	Prec@5 64.500 (68.602)
Epoch: [21][3490/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3863 (2.5491)	Prec@1 38.500 (37.717)	Prec@5 73.000 (68.602)
Epoch: [21][3500/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6173 (2.5491)	Prec@1 39.000 (37.719)	Prec@5 70.000 (68.603)
Epoch: [21][3510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6315 (2.5490)	Prec@1 39.500 (37.722)	Prec@5 67.000 (68.607)
Epoch: [21][3520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6785 (2.5491)	Prec@1 35.500 (37.721)	Prec@5 62.000 (68.603)
Epoch: [21][3530/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3600 (2.5492)	Prec@1 40.000 (37.721)	Prec@5 70.500 (68.598)
Epoch: [21][3540/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5187 (2.5492)	Prec@1 36.000 (37.720)	Prec@5 67.000 (68.597)
Epoch: [21][3550/9018]	Time 0.758 (0.615)	Data 0.001 (0.001)	Loss 2.4132 (2.5492)	Prec@1 37.000 (37.722)	Prec@5 72.000 (68.598)
Epoch: [21][3560/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5612 (2.5492)	Prec@1 36.500 (37.724)	Prec@5 70.500 (68.601)
Epoch: [21][3570/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.4787 (2.5494)	Prec@1 36.500 (37.723)	Prec@5 71.500 (68.599)
Epoch: [21][3580/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4497 (2.5494)	Prec@1 37.500 (37.722)	Prec@5 70.000 (68.599)
Epoch: [21][3590/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5796 (2.5493)	Prec@1 38.000 (37.722)	Prec@5 67.000 (68.598)
Epoch: [21][3600/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.7613 (2.5493)	Prec@1 35.000 (37.720)	Prec@5 63.500 (68.600)
Epoch: [21][3610/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4013 (2.5492)	Prec@1 36.500 (37.720)	Prec@5 72.000 (68.602)
Epoch: [21][3620/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5449 (2.5492)	Prec@1 38.500 (37.717)	Prec@5 70.000 (68.601)
Epoch: [21][3630/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6980 (2.5493)	Prec@1 34.000 (37.713)	Prec@5 64.000 (68.597)
Epoch: [21][3640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3887 (2.5493)	Prec@1 39.500 (37.713)	Prec@5 78.000 (68.597)
Epoch: [21][3650/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6144 (2.5493)	Prec@1 39.000 (37.716)	Prec@5 68.500 (68.598)
Epoch: [21][3660/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5077 (2.5492)	Prec@1 37.000 (37.717)	Prec@5 69.000 (68.600)
Epoch: [21][3670/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2851 (2.5490)	Prec@1 45.500 (37.717)	Prec@5 71.000 (68.601)
Epoch: [21][3680/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7005 (2.5492)	Prec@1 32.000 (37.712)	Prec@5 61.500 (68.593)
Epoch: [21][3690/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4371 (2.5491)	Prec@1 38.000 (37.712)	Prec@5 74.000 (68.595)
Epoch: [21][3700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3677 (2.5490)	Prec@1 41.000 (37.708)	Prec@5 69.000 (68.596)
Epoch: [21][3710/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6178 (2.5491)	Prec@1 36.000 (37.708)	Prec@5 66.500 (68.594)
Epoch: [21][3720/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7335 (2.5490)	Prec@1 32.000 (37.709)	Prec@5 65.000 (68.598)
Epoch: [21][3730/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.6072 (2.5489)	Prec@1 31.500 (37.710)	Prec@5 69.500 (68.602)
Epoch: [21][3740/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6378 (2.5490)	Prec@1 34.000 (37.709)	Prec@5 64.500 (68.603)
Epoch: [21][3750/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6250 (2.5489)	Prec@1 40.500 (37.711)	Prec@5 69.000 (68.606)
Epoch: [21][3760/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4083 (2.5489)	Prec@1 40.500 (37.710)	Prec@5 72.500 (68.606)
Epoch: [21][3770/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.3832 (2.5489)	Prec@1 38.500 (37.710)	Prec@5 72.500 (68.606)
Epoch: [21][3780/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6243 (2.5490)	Prec@1 36.000 (37.710)	Prec@5 67.000 (68.601)
Epoch: [21][3790/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6961 (2.5492)	Prec@1 34.500 (37.707)	Prec@5 64.500 (68.592)
Epoch: [21][3800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5806 (2.5494)	Prec@1 41.500 (37.706)	Prec@5 68.000 (68.587)
Epoch: [21][3810/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6755 (2.5497)	Prec@1 37.000 (37.699)	Prec@5 67.500 (68.582)
Epoch: [21][3820/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4401 (2.5498)	Prec@1 35.500 (37.699)	Prec@5 71.000 (68.580)
Epoch: [21][3830/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4210 (2.5498)	Prec@1 38.000 (37.699)	Prec@5 75.500 (68.582)
Epoch: [21][3840/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5980 (2.5498)	Prec@1 39.500 (37.698)	Prec@5 66.500 (68.582)
Epoch: [21][3850/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4227 (2.5498)	Prec@1 38.500 (37.696)	Prec@5 67.500 (68.583)
Epoch: [21][3860/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5179 (2.5497)	Prec@1 40.500 (37.698)	Prec@5 69.000 (68.584)
Epoch: [21][3870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6816 (2.5497)	Prec@1 33.500 (37.697)	Prec@5 68.000 (68.585)
Epoch: [21][3880/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.5904 (2.5498)	Prec@1 31.000 (37.694)	Prec@5 69.500 (68.586)
Epoch: [21][3890/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5109 (2.5497)	Prec@1 37.500 (37.695)	Prec@5 70.000 (68.585)
Epoch: [21][3900/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2792 (2.5495)	Prec@1 39.500 (37.697)	Prec@5 74.000 (68.587)
Epoch: [21][3910/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.2632 (2.5494)	Prec@1 45.000 (37.697)	Prec@5 74.500 (68.592)
Epoch: [21][3920/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6526 (2.5494)	Prec@1 35.000 (37.693)	Prec@5 65.500 (68.592)
Epoch: [21][3930/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.6323 (2.5495)	Prec@1 36.000 (37.690)	Prec@5 61.500 (68.590)
Epoch: [21][3940/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6732 (2.5496)	Prec@1 40.500 (37.688)	Prec@5 65.500 (68.586)
Epoch: [21][3950/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5722 (2.5495)	Prec@1 37.500 (37.689)	Prec@5 66.500 (68.586)
Epoch: [21][3960/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.2470 (2.5493)	Prec@1 45.000 (37.694)	Prec@5 73.500 (68.592)
Epoch: [21][3970/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2942 (2.5494)	Prec@1 45.000 (37.689)	Prec@5 71.500 (68.590)
Epoch: [21][3980/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5649 (2.5493)	Prec@1 41.000 (37.690)	Prec@5 70.000 (68.595)
Epoch: [21][3990/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4894 (2.5491)	Prec@1 43.000 (37.694)	Prec@5 69.000 (68.596)
Epoch: [21][4000/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6466 (2.5492)	Prec@1 32.500 (37.696)	Prec@5 64.000 (68.595)
Epoch: [21][4010/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5967 (2.5490)	Prec@1 36.500 (37.697)	Prec@5 69.500 (68.598)
Epoch: [21][4020/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5141 (2.5489)	Prec@1 37.000 (37.697)	Prec@5 67.500 (68.600)
Epoch: [21][4030/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3643 (2.5488)	Prec@1 42.500 (37.700)	Prec@5 73.000 (68.604)
Epoch: [21][4040/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5831 (2.5488)	Prec@1 33.500 (37.698)	Prec@5 63.500 (68.604)
Epoch: [21][4050/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.2565 (2.5486)	Prec@1 44.500 (37.703)	Prec@5 75.000 (68.612)
Epoch: [21][4060/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4858 (2.5486)	Prec@1 37.500 (37.703)	Prec@5 69.000 (68.610)
Epoch: [21][4070/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4795 (2.5487)	Prec@1 40.000 (37.706)	Prec@5 71.000 (68.610)
Epoch: [21][4080/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6923 (2.5486)	Prec@1 35.500 (37.704)	Prec@5 64.500 (68.608)
Epoch: [21][4090/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4822 (2.5485)	Prec@1 42.000 (37.711)	Prec@5 69.500 (68.611)
Epoch: [21][4100/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6178 (2.5486)	Prec@1 36.500 (37.710)	Prec@5 68.500 (68.609)
Epoch: [21][4110/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4548 (2.5485)	Prec@1 38.500 (37.712)	Prec@5 70.500 (68.610)
Epoch: [21][4120/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6745 (2.5487)	Prec@1 37.500 (37.706)	Prec@5 68.000 (68.608)
Epoch: [21][4130/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5570 (2.5486)	Prec@1 34.500 (37.707)	Prec@5 68.000 (68.610)
Epoch: [21][4140/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5284 (2.5485)	Prec@1 38.500 (37.712)	Prec@5 70.500 (68.611)
Epoch: [21][4150/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7695 (2.5485)	Prec@1 36.000 (37.709)	Prec@5 66.500 (68.611)
Epoch: [21][4160/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5149 (2.5483)	Prec@1 39.000 (37.712)	Prec@5 68.000 (68.615)
Epoch: [21][4170/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3898 (2.5484)	Prec@1 41.000 (37.712)	Prec@5 72.000 (68.613)
Epoch: [21][4180/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5108 (2.5483)	Prec@1 36.500 (37.715)	Prec@5 71.000 (68.619)
Epoch: [21][4190/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4586 (2.5482)	Prec@1 40.500 (37.716)	Prec@5 70.000 (68.618)
Epoch: [21][4200/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7633 (2.5484)	Prec@1 32.500 (37.713)	Prec@5 63.500 (68.613)
Epoch: [21][4210/9018]	Time 0.712 (0.615)	Data 0.001 (0.001)	Loss 2.6126 (2.5484)	Prec@1 37.000 (37.714)	Prec@5 70.000 (68.614)
Epoch: [21][4220/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4846 (2.5483)	Prec@1 34.000 (37.712)	Prec@5 70.500 (68.617)
Epoch: [21][4230/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6092 (2.5483)	Prec@1 37.500 (37.710)	Prec@5 66.500 (68.617)
Epoch: [21][4240/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6353 (2.5485)	Prec@1 33.000 (37.708)	Prec@5 64.500 (68.613)
Epoch: [21][4250/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4523 (2.5484)	Prec@1 41.000 (37.711)	Prec@5 69.500 (68.613)
Epoch: [21][4260/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.6190 (2.5486)	Prec@1 38.000 (37.706)	Prec@5 70.000 (68.610)
Epoch: [21][4270/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4231 (2.5485)	Prec@1 41.500 (37.711)	Prec@5 68.500 (68.612)
Epoch: [21][4280/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6675 (2.5486)	Prec@1 32.000 (37.706)	Prec@5 68.500 (68.612)
Epoch: [21][4290/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7487 (2.5488)	Prec@1 34.500 (37.704)	Prec@5 66.000 (68.611)
Epoch: [21][4300/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4467 (2.5488)	Prec@1 38.500 (37.704)	Prec@5 68.000 (68.608)
Epoch: [21][4310/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8315 (2.5489)	Prec@1 33.000 (37.704)	Prec@5 62.500 (68.606)
Epoch: [21][4320/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4522 (2.5489)	Prec@1 42.000 (37.708)	Prec@5 70.500 (68.607)
Epoch: [21][4330/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5701 (2.5489)	Prec@1 35.000 (37.705)	Prec@5 65.000 (68.604)
Epoch: [21][4340/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6672 (2.5489)	Prec@1 33.500 (37.704)	Prec@5 66.000 (68.604)
Epoch: [21][4350/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5027 (2.5490)	Prec@1 39.500 (37.703)	Prec@5 73.000 (68.605)
Epoch: [21][4360/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3915 (2.5488)	Prec@1 38.500 (37.708)	Prec@5 69.500 (68.609)
Epoch: [21][4370/9018]	Time 0.621 (0.615)	Data 0.005 (0.001)	Loss 2.7730 (2.5488)	Prec@1 29.500 (37.706)	Prec@5 66.000 (68.611)
Epoch: [21][4380/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4389 (2.5488)	Prec@1 43.000 (37.705)	Prec@5 71.000 (68.612)
Epoch: [21][4390/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4672 (2.5487)	Prec@1 37.000 (37.704)	Prec@5 70.000 (68.613)
Epoch: [21][4400/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6569 (2.5487)	Prec@1 31.500 (37.701)	Prec@5 66.500 (68.613)
Epoch: [21][4410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6954 (2.5489)	Prec@1 37.000 (37.699)	Prec@5 67.000 (68.610)
Epoch: [21][4420/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4037 (2.5487)	Prec@1 41.500 (37.704)	Prec@5 72.000 (68.615)
Epoch: [21][4430/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6358 (2.5486)	Prec@1 38.000 (37.706)	Prec@5 66.500 (68.617)
Epoch: [21][4440/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4463 (2.5485)	Prec@1 42.000 (37.709)	Prec@5 70.000 (68.619)
Epoch: [21][4450/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5196 (2.5485)	Prec@1 37.000 (37.708)	Prec@5 68.000 (68.620)
Epoch: [21][4460/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.7238 (2.5485)	Prec@1 35.500 (37.704)	Prec@5 68.000 (68.619)
Epoch: [21][4470/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5724 (2.5485)	Prec@1 33.000 (37.705)	Prec@5 69.500 (68.617)
Epoch: [21][4480/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5877 (2.5484)	Prec@1 38.000 (37.707)	Prec@5 69.000 (68.619)
Epoch: [21][4490/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4690 (2.5485)	Prec@1 38.500 (37.706)	Prec@5 69.000 (68.615)
Epoch: [21][4500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6712 (2.5487)	Prec@1 36.500 (37.700)	Prec@5 67.500 (68.614)
Epoch: [21][4510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5444 (2.5487)	Prec@1 38.000 (37.701)	Prec@5 69.000 (68.613)
Epoch: [21][4520/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6442 (2.5488)	Prec@1 33.500 (37.701)	Prec@5 68.500 (68.615)
Epoch: [21][4530/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5224 (2.5487)	Prec@1 43.500 (37.699)	Prec@5 67.500 (68.613)
Epoch: [21][4540/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.5395 (2.5488)	Prec@1 41.500 (37.701)	Prec@5 67.500 (68.610)
Epoch: [21][4550/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.7500 (2.5489)	Prec@1 30.500 (37.696)	Prec@5 65.500 (68.607)
Epoch: [21][4560/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6069 (2.5491)	Prec@1 40.500 (37.693)	Prec@5 64.500 (68.603)
Epoch: [21][4570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6923 (2.5491)	Prec@1 35.000 (37.691)	Prec@5 67.000 (68.602)
Epoch: [21][4580/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.7416 (2.5490)	Prec@1 36.000 (37.692)	Prec@5 64.500 (68.602)
Epoch: [21][4590/9018]	Time 0.765 (0.615)	Data 0.001 (0.001)	Loss 2.4457 (2.5489)	Prec@1 40.000 (37.694)	Prec@5 72.500 (68.607)
Epoch: [21][4600/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4227 (2.5490)	Prec@1 37.000 (37.690)	Prec@5 71.000 (68.606)
Epoch: [21][4610/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5476 (2.5489)	Prec@1 37.500 (37.691)	Prec@5 70.500 (68.607)
Epoch: [21][4620/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2997 (2.5490)	Prec@1 44.500 (37.690)	Prec@5 72.000 (68.607)
Epoch: [21][4630/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.7976 (2.5491)	Prec@1 38.500 (37.687)	Prec@5 63.500 (68.605)
Epoch: [21][4640/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3363 (2.5490)	Prec@1 45.000 (37.690)	Prec@5 71.000 (68.605)
Epoch: [21][4650/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6270 (2.5491)	Prec@1 34.000 (37.689)	Prec@5 67.500 (68.602)
Epoch: [21][4660/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6790 (2.5492)	Prec@1 34.000 (37.686)	Prec@5 65.000 (68.600)
Epoch: [21][4670/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.5822 (2.5492)	Prec@1 39.000 (37.689)	Prec@5 68.000 (68.600)
Epoch: [21][4680/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6426 (2.5493)	Prec@1 40.000 (37.691)	Prec@5 69.000 (68.600)
Epoch: [21][4690/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.7342 (2.5494)	Prec@1 38.000 (37.689)	Prec@5 63.000 (68.599)
Epoch: [21][4700/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.8373 (2.5494)	Prec@1 33.500 (37.690)	Prec@5 65.000 (68.600)
Epoch: [21][4710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7352 (2.5496)	Prec@1 31.500 (37.686)	Prec@5 62.500 (68.597)
Epoch: [21][4720/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5513 (2.5496)	Prec@1 39.000 (37.689)	Prec@5 69.000 (68.599)
Epoch: [21][4730/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5348 (2.5497)	Prec@1 36.000 (37.687)	Prec@5 70.500 (68.597)
Epoch: [21][4740/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6853 (2.5499)	Prec@1 32.500 (37.683)	Prec@5 68.000 (68.592)
Epoch: [21][4750/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6578 (2.5499)	Prec@1 36.500 (37.685)	Prec@5 65.500 (68.591)
Epoch: [21][4760/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7182 (2.5499)	Prec@1 35.500 (37.687)	Prec@5 66.000 (68.591)
Epoch: [21][4770/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4645 (2.5499)	Prec@1 42.500 (37.687)	Prec@5 73.500 (68.591)
Epoch: [21][4780/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5186 (2.5500)	Prec@1 40.500 (37.688)	Prec@5 66.500 (68.586)
Epoch: [21][4790/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6564 (2.5501)	Prec@1 35.000 (37.685)	Prec@5 67.500 (68.583)
Epoch: [21][4800/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6015 (2.5502)	Prec@1 34.000 (37.685)	Prec@5 69.000 (68.583)
Epoch: [21][4810/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6252 (2.5501)	Prec@1 38.000 (37.687)	Prec@5 67.000 (68.586)
Epoch: [21][4820/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6682 (2.5502)	Prec@1 37.000 (37.688)	Prec@5 65.500 (68.584)
Epoch: [21][4830/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5069 (2.5502)	Prec@1 40.500 (37.691)	Prec@5 67.500 (68.585)
Epoch: [21][4840/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4786 (2.5501)	Prec@1 41.500 (37.692)	Prec@5 68.500 (68.585)
Epoch: [21][4850/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5774 (2.5502)	Prec@1 37.500 (37.688)	Prec@5 68.500 (68.584)
Epoch: [21][4860/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.9540 (2.5502)	Prec@1 28.500 (37.686)	Prec@5 62.000 (68.586)
Epoch: [21][4870/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.6157 (2.5502)	Prec@1 33.500 (37.686)	Prec@5 65.000 (68.586)
Epoch: [21][4880/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8331 (2.5504)	Prec@1 31.500 (37.683)	Prec@5 64.500 (68.583)
Epoch: [21][4890/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5462 (2.5505)	Prec@1 37.500 (37.682)	Prec@5 68.000 (68.582)
Epoch: [21][4900/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4119 (2.5506)	Prec@1 41.500 (37.680)	Prec@5 68.000 (68.580)
Epoch: [21][4910/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5863 (2.5506)	Prec@1 35.000 (37.680)	Prec@5 68.500 (68.576)
Epoch: [21][4920/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.7807 (2.5506)	Prec@1 32.500 (37.681)	Prec@5 63.000 (68.576)
Epoch: [21][4930/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5826 (2.5507)	Prec@1 42.500 (37.682)	Prec@5 68.000 (68.574)
Epoch: [21][4940/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7237 (2.5508)	Prec@1 32.000 (37.680)	Prec@5 65.500 (68.573)
Epoch: [21][4950/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4916 (2.5508)	Prec@1 32.500 (37.680)	Prec@5 70.500 (68.574)
Epoch: [21][4960/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5841 (2.5509)	Prec@1 39.000 (37.678)	Prec@5 67.500 (68.571)
Epoch: [21][4970/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4530 (2.5508)	Prec@1 40.000 (37.679)	Prec@5 71.500 (68.572)
Epoch: [21][4980/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5540 (2.5509)	Prec@1 38.000 (37.680)	Prec@5 68.000 (68.570)
Epoch: [21][4990/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4972 (2.5507)	Prec@1 36.500 (37.680)	Prec@5 70.000 (68.570)
Epoch: [21][5000/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7040 (2.5509)	Prec@1 33.000 (37.677)	Prec@5 66.500 (68.566)
Epoch: [21][5010/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6703 (2.5509)	Prec@1 35.000 (37.677)	Prec@5 67.500 (68.564)
Epoch: [21][5020/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3558 (2.5509)	Prec@1 41.000 (37.678)	Prec@5 77.500 (68.566)
Epoch: [21][5030/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3873 (2.5509)	Prec@1 36.000 (37.676)	Prec@5 73.000 (68.566)
Epoch: [21][5040/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3593 (2.5510)	Prec@1 43.000 (37.676)	Prec@5 73.000 (68.567)
Epoch: [21][5050/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5455 (2.5511)	Prec@1 41.500 (37.673)	Prec@5 64.000 (68.564)
Epoch: [21][5060/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5016 (2.5511)	Prec@1 39.500 (37.672)	Prec@5 71.500 (68.564)
Epoch: [21][5070/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4322 (2.5510)	Prec@1 38.500 (37.674)	Prec@5 68.500 (68.566)
Epoch: [21][5080/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6686 (2.5509)	Prec@1 36.500 (37.675)	Prec@5 69.000 (68.568)
Epoch: [21][5090/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4871 (2.5510)	Prec@1 39.000 (37.674)	Prec@5 67.500 (68.566)
Epoch: [21][5100/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5439 (2.5510)	Prec@1 36.000 (37.672)	Prec@5 67.500 (68.566)
Epoch: [21][5110/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.2002 (2.5509)	Prec@1 42.500 (37.672)	Prec@5 74.500 (68.567)
Epoch: [21][5120/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6041 (2.5509)	Prec@1 34.000 (37.672)	Prec@5 66.500 (68.566)
Epoch: [21][5130/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.7075 (2.5509)	Prec@1 36.000 (37.670)	Prec@5 67.500 (68.565)
Epoch: [21][5140/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4950 (2.5509)	Prec@1 37.500 (37.670)	Prec@5 69.500 (68.566)
Epoch: [21][5150/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5615 (2.5508)	Prec@1 36.500 (37.670)	Prec@5 68.500 (68.567)
Epoch: [21][5160/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6166 (2.5510)	Prec@1 37.500 (37.669)	Prec@5 67.500 (68.565)
Epoch: [21][5170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7684 (2.5510)	Prec@1 29.500 (37.667)	Prec@5 62.500 (68.564)
Epoch: [21][5180/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5118 (2.5511)	Prec@1 35.500 (37.666)	Prec@5 67.500 (68.563)
Epoch: [21][5190/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7132 (2.5511)	Prec@1 35.500 (37.667)	Prec@5 64.000 (68.563)
Epoch: [21][5200/9018]	Time 0.753 (0.615)	Data 0.001 (0.001)	Loss 2.5943 (2.5510)	Prec@1 37.000 (37.667)	Prec@5 64.500 (68.563)
Epoch: [21][5210/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5931 (2.5511)	Prec@1 38.000 (37.668)	Prec@5 67.500 (68.564)
Epoch: [21][5220/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4518 (2.5510)	Prec@1 40.500 (37.668)	Prec@5 69.500 (68.564)
Epoch: [21][5230/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6199 (2.5511)	Prec@1 37.500 (37.668)	Prec@5 65.000 (68.562)
Epoch: [21][5240/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6501 (2.5511)	Prec@1 36.500 (37.668)	Prec@5 68.500 (68.564)
Epoch: [21][5250/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.4756 (2.5510)	Prec@1 37.500 (37.669)	Prec@5 68.500 (68.566)
Epoch: [21][5260/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6256 (2.5511)	Prec@1 34.000 (37.668)	Prec@5 70.500 (68.565)
Epoch: [21][5270/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3905 (2.5511)	Prec@1 40.500 (37.668)	Prec@5 70.500 (68.565)
Epoch: [21][5280/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7593 (2.5511)	Prec@1 34.000 (37.668)	Prec@5 61.000 (68.564)
Epoch: [21][5290/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5678 (2.5511)	Prec@1 35.500 (37.668)	Prec@5 69.500 (68.562)
Epoch: [21][5300/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7509 (2.5511)	Prec@1 33.500 (37.668)	Prec@5 62.000 (68.564)
Epoch: [21][5310/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4823 (2.5511)	Prec@1 40.000 (37.669)	Prec@5 68.500 (68.565)
Epoch: [21][5320/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5188 (2.5510)	Prec@1 41.000 (37.670)	Prec@5 67.500 (68.565)
Epoch: [21][5330/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4330 (2.5509)	Prec@1 36.000 (37.671)	Prec@5 72.000 (68.567)
Epoch: [21][5340/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4646 (2.5508)	Prec@1 41.500 (37.674)	Prec@5 71.000 (68.569)
Epoch: [21][5350/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4079 (2.5507)	Prec@1 43.000 (37.675)	Prec@5 68.000 (68.569)
Epoch: [21][5360/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7293 (2.5508)	Prec@1 34.000 (37.672)	Prec@5 68.000 (68.567)
Epoch: [21][5370/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3659 (2.5509)	Prec@1 44.500 (37.673)	Prec@5 70.000 (68.564)
Epoch: [21][5380/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4334 (2.5509)	Prec@1 40.000 (37.673)	Prec@5 70.000 (68.564)
Epoch: [21][5390/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5079 (2.5510)	Prec@1 39.500 (37.671)	Prec@5 68.000 (68.561)
Epoch: [21][5400/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.6286 (2.5511)	Prec@1 39.500 (37.673)	Prec@5 67.500 (68.559)
Epoch: [21][5410/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.8008 (2.5510)	Prec@1 32.000 (37.674)	Prec@5 69.500 (68.562)
Epoch: [21][5420/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5694 (2.5509)	Prec@1 38.000 (37.676)	Prec@5 66.000 (68.563)
Epoch: [21][5430/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6074 (2.5510)	Prec@1 37.000 (37.676)	Prec@5 67.000 (68.562)
Epoch: [21][5440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5634 (2.5512)	Prec@1 36.500 (37.675)	Prec@5 70.000 (68.558)
Epoch: [21][5450/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6081 (2.5512)	Prec@1 36.500 (37.673)	Prec@5 69.500 (68.557)
Epoch: [21][5460/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6259 (2.5512)	Prec@1 40.000 (37.676)	Prec@5 67.500 (68.558)
Epoch: [21][5470/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4471 (2.5512)	Prec@1 41.000 (37.676)	Prec@5 68.500 (68.558)
Epoch: [21][5480/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6158 (2.5512)	Prec@1 38.000 (37.678)	Prec@5 67.000 (68.557)
Epoch: [21][5490/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5299 (2.5512)	Prec@1 37.000 (37.676)	Prec@5 73.500 (68.556)
Epoch: [21][5500/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5951 (2.5511)	Prec@1 36.500 (37.678)	Prec@5 69.000 (68.559)
Epoch: [21][5510/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6866 (2.5512)	Prec@1 32.500 (37.676)	Prec@5 64.000 (68.557)
Epoch: [21][5520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3902 (2.5512)	Prec@1 40.000 (37.674)	Prec@5 72.500 (68.555)
Epoch: [21][5530/9018]	Time 0.804 (0.615)	Data 0.002 (0.001)	Loss 2.4750 (2.5513)	Prec@1 36.000 (37.673)	Prec@5 70.000 (68.555)
Epoch: [21][5540/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5389 (2.5512)	Prec@1 41.500 (37.675)	Prec@5 68.500 (68.557)
Epoch: [21][5550/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6950 (2.5513)	Prec@1 41.500 (37.676)	Prec@5 65.000 (68.554)
Epoch: [21][5560/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3730 (2.5513)	Prec@1 43.500 (37.676)	Prec@5 71.000 (68.555)
Epoch: [21][5570/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3759 (2.5512)	Prec@1 41.500 (37.681)	Prec@5 72.500 (68.560)
Epoch: [21][5580/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.3109 (2.5511)	Prec@1 40.000 (37.683)	Prec@5 70.500 (68.559)
Epoch: [21][5590/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5005 (2.5510)	Prec@1 41.000 (37.683)	Prec@5 68.000 (68.560)
Epoch: [21][5600/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6293 (2.5511)	Prec@1 34.500 (37.680)	Prec@5 69.000 (68.560)
Epoch: [21][5610/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4504 (2.5511)	Prec@1 38.500 (37.678)	Prec@5 70.500 (68.559)
Epoch: [21][5620/9018]	Time 0.597 (0.615)	Data 0.002 (0.001)	Loss 2.4164 (2.5512)	Prec@1 44.500 (37.678)	Prec@5 71.000 (68.558)
Epoch: [21][5630/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2986 (2.5511)	Prec@1 43.500 (37.678)	Prec@5 72.000 (68.559)
Epoch: [21][5640/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7554 (2.5512)	Prec@1 33.500 (37.677)	Prec@5 66.000 (68.558)
Epoch: [21][5650/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4896 (2.5513)	Prec@1 35.000 (37.673)	Prec@5 69.500 (68.557)
Epoch: [21][5660/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7034 (2.5513)	Prec@1 35.000 (37.674)	Prec@5 66.500 (68.557)
Epoch: [21][5670/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4956 (2.5513)	Prec@1 43.500 (37.674)	Prec@5 67.500 (68.554)
Epoch: [21][5680/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5816 (2.5512)	Prec@1 39.000 (37.677)	Prec@5 73.000 (68.556)
Epoch: [21][5690/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4917 (2.5512)	Prec@1 39.000 (37.676)	Prec@5 70.000 (68.554)
Epoch: [21][5700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3149 (2.5511)	Prec@1 43.000 (37.679)	Prec@5 76.000 (68.559)
Epoch: [21][5710/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5392 (2.5511)	Prec@1 38.000 (37.680)	Prec@5 67.500 (68.560)
Epoch: [21][5720/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6598 (2.5512)	Prec@1 36.000 (37.678)	Prec@5 67.000 (68.559)
Epoch: [21][5730/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4247 (2.5512)	Prec@1 35.500 (37.677)	Prec@5 67.000 (68.556)
Epoch: [21][5740/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5968 (2.5512)	Prec@1 36.000 (37.677)	Prec@5 67.500 (68.556)
Epoch: [21][5750/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5051 (2.5511)	Prec@1 43.000 (37.678)	Prec@5 68.000 (68.557)
Epoch: [21][5760/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7320 (2.5512)	Prec@1 31.500 (37.677)	Prec@5 65.000 (68.555)
Epoch: [21][5770/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6008 (2.5513)	Prec@1 39.500 (37.676)	Prec@5 65.500 (68.552)
Epoch: [21][5780/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7383 (2.5514)	Prec@1 33.500 (37.674)	Prec@5 62.500 (68.551)
Epoch: [21][5790/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6726 (2.5514)	Prec@1 30.500 (37.670)	Prec@5 66.500 (68.551)
Epoch: [21][5800/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6080 (2.5515)	Prec@1 36.500 (37.670)	Prec@5 67.000 (68.550)
Epoch: [21][5810/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7446 (2.5516)	Prec@1 38.500 (37.668)	Prec@5 62.000 (68.547)
Epoch: [21][5820/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3918 (2.5517)	Prec@1 40.000 (37.669)	Prec@5 69.500 (68.546)
Epoch: [21][5830/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4770 (2.5515)	Prec@1 40.500 (37.671)	Prec@5 68.500 (68.547)
Epoch: [21][5840/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5076 (2.5514)	Prec@1 42.000 (37.674)	Prec@5 68.500 (68.550)
Epoch: [21][5850/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5618 (2.5514)	Prec@1 36.500 (37.674)	Prec@5 69.000 (68.550)
Epoch: [21][5860/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.4381 (2.5514)	Prec@1 37.000 (37.674)	Prec@5 73.500 (68.550)
Epoch: [21][5870/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4713 (2.5514)	Prec@1 42.000 (37.675)	Prec@5 70.500 (68.549)
Epoch: [21][5880/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4674 (2.5514)	Prec@1 32.000 (37.673)	Prec@5 73.000 (68.550)
Epoch: [21][5890/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7128 (2.5515)	Prec@1 36.000 (37.673)	Prec@5 64.500 (68.549)
Epoch: [21][5900/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3395 (2.5514)	Prec@1 39.500 (37.675)	Prec@5 76.000 (68.551)
Epoch: [21][5910/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.6886 (2.5514)	Prec@1 33.500 (37.675)	Prec@5 65.000 (68.550)
Epoch: [21][5920/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6677 (2.5514)	Prec@1 32.500 (37.673)	Prec@5 67.500 (68.551)
Epoch: [21][5930/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5339 (2.5514)	Prec@1 38.500 (37.672)	Prec@5 69.000 (68.554)
Epoch: [21][5940/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6389 (2.5514)	Prec@1 34.000 (37.671)	Prec@5 67.500 (68.552)
Epoch: [21][5950/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4688 (2.5513)	Prec@1 40.500 (37.675)	Prec@5 71.000 (68.553)
Epoch: [21][5960/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5470 (2.5514)	Prec@1 37.500 (37.674)	Prec@5 66.500 (68.551)
Epoch: [21][5970/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5836 (2.5514)	Prec@1 40.000 (37.674)	Prec@5 69.000 (68.552)
Epoch: [21][5980/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3627 (2.5512)	Prec@1 39.000 (37.677)	Prec@5 74.000 (68.556)
Epoch: [21][5990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5002 (2.5512)	Prec@1 39.500 (37.674)	Prec@5 70.500 (68.555)
Epoch: [21][6000/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.3427 (2.5514)	Prec@1 45.000 (37.669)	Prec@5 72.500 (68.554)
Epoch: [21][6010/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.3700 (2.5513)	Prec@1 42.500 (37.668)	Prec@5 74.500 (68.555)
Epoch: [21][6020/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5340 (2.5513)	Prec@1 35.500 (37.671)	Prec@5 70.000 (68.555)
Epoch: [21][6030/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.7599 (2.5514)	Prec@1 30.500 (37.669)	Prec@5 64.000 (68.555)
Epoch: [21][6040/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5109 (2.5514)	Prec@1 35.500 (37.666)	Prec@5 73.500 (68.554)
Epoch: [21][6050/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.4976 (2.5515)	Prec@1 40.500 (37.664)	Prec@5 68.000 (68.552)
Epoch: [21][6060/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.4305 (2.5515)	Prec@1 41.000 (37.664)	Prec@5 70.000 (68.552)
Epoch: [21][6070/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.4563 (2.5514)	Prec@1 41.000 (37.664)	Prec@5 70.500 (68.554)
Epoch: [21][6080/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5581 (2.5514)	Prec@1 38.500 (37.666)	Prec@5 67.500 (68.554)
Epoch: [21][6090/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6170 (2.5515)	Prec@1 38.000 (37.665)	Prec@5 67.000 (68.552)
Epoch: [21][6100/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5426 (2.5514)	Prec@1 37.500 (37.666)	Prec@5 70.000 (68.552)
Epoch: [21][6110/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.4424 (2.5514)	Prec@1 38.500 (37.666)	Prec@5 74.000 (68.554)
Epoch: [21][6120/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.4151 (2.5513)	Prec@1 40.000 (37.670)	Prec@5 75.500 (68.557)
Epoch: [21][6130/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.4316 (2.5512)	Prec@1 40.500 (37.672)	Prec@5 73.500 (68.560)
Epoch: [21][6140/9018]	Time 0.766 (0.615)	Data 0.001 (0.002)	Loss 2.5816 (2.5511)	Prec@1 40.000 (37.674)	Prec@5 69.500 (68.561)
Epoch: [21][6150/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.6739 (2.5511)	Prec@1 36.500 (37.674)	Prec@5 67.000 (68.560)
Epoch: [21][6160/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5564 (2.5511)	Prec@1 39.500 (37.675)	Prec@5 69.000 (68.561)
Epoch: [21][6170/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.3128 (2.5510)	Prec@1 44.000 (37.676)	Prec@5 73.500 (68.562)
Epoch: [21][6180/9018]	Time 0.588 (0.615)	Data 0.001 (0.002)	Loss 2.5733 (2.5510)	Prec@1 40.000 (37.676)	Prec@5 65.000 (68.563)
Epoch: [21][6190/9018]	Time 0.746 (0.615)	Data 0.001 (0.002)	Loss 2.6348 (2.5510)	Prec@1 35.000 (37.674)	Prec@5 65.000 (68.561)
Epoch: [21][6200/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.5921 (2.5510)	Prec@1 37.500 (37.677)	Prec@5 66.000 (68.561)
Epoch: [21][6210/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6589 (2.5510)	Prec@1 36.000 (37.679)	Prec@5 64.000 (68.562)
Epoch: [21][6220/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6563 (2.5510)	Prec@1 31.500 (37.678)	Prec@5 68.000 (68.562)
Epoch: [21][6230/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5976 (2.5510)	Prec@1 32.500 (37.676)	Prec@5 69.000 (68.561)
Epoch: [21][6240/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.4647 (2.5510)	Prec@1 39.500 (37.679)	Prec@5 69.500 (68.561)
Epoch: [21][6250/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.5451 (2.5510)	Prec@1 40.000 (37.679)	Prec@5 68.000 (68.561)
Epoch: [21][6260/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4272 (2.5509)	Prec@1 38.000 (37.680)	Prec@5 72.000 (68.562)
Epoch: [21][6270/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.4923 (2.5509)	Prec@1 37.500 (37.679)	Prec@5 76.500 (68.564)
Epoch: [21][6280/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6345 (2.5510)	Prec@1 37.000 (37.676)	Prec@5 69.000 (68.563)
Epoch: [21][6290/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.6639 (2.5510)	Prec@1 33.500 (37.677)	Prec@5 63.000 (68.561)
Epoch: [21][6300/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5819 (2.5509)	Prec@1 37.500 (37.678)	Prec@5 69.000 (68.560)
Epoch: [21][6310/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4105 (2.5509)	Prec@1 45.500 (37.680)	Prec@5 70.500 (68.562)
Epoch: [21][6320/9018]	Time 0.601 (0.615)	Data 0.002 (0.002)	Loss 2.4451 (2.5508)	Prec@1 44.000 (37.679)	Prec@5 70.000 (68.563)
Epoch: [21][6330/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6770 (2.5509)	Prec@1 32.500 (37.677)	Prec@5 64.500 (68.562)
Epoch: [21][6340/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5434 (2.5509)	Prec@1 42.000 (37.677)	Prec@5 67.500 (68.563)
Epoch: [21][6350/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5835 (2.5509)	Prec@1 42.000 (37.677)	Prec@5 70.000 (68.562)
Epoch: [21][6360/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5038 (2.5509)	Prec@1 39.000 (37.678)	Prec@5 71.500 (68.562)
Epoch: [21][6370/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.8088 (2.5509)	Prec@1 32.500 (37.678)	Prec@5 64.000 (68.562)
Epoch: [21][6380/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5088 (2.5508)	Prec@1 37.000 (37.681)	Prec@5 69.500 (68.565)
Epoch: [21][6390/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6035 (2.5508)	Prec@1 36.500 (37.682)	Prec@5 67.500 (68.566)
Epoch: [21][6400/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.3894 (2.5508)	Prec@1 42.500 (37.681)	Prec@5 69.500 (68.566)
Epoch: [21][6410/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5151 (2.5507)	Prec@1 34.000 (37.682)	Prec@5 70.000 (68.567)
Epoch: [21][6420/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.3942 (2.5508)	Prec@1 43.500 (37.682)	Prec@5 74.500 (68.567)
Epoch: [21][6430/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4674 (2.5507)	Prec@1 44.000 (37.684)	Prec@5 67.000 (68.567)
Epoch: [21][6440/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4706 (2.5507)	Prec@1 41.000 (37.683)	Prec@5 73.500 (68.570)
Epoch: [21][6450/9018]	Time 0.630 (0.615)	Data 0.002 (0.002)	Loss 2.6425 (2.5507)	Prec@1 33.500 (37.683)	Prec@5 65.500 (68.570)
Epoch: [21][6460/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.4524 (2.5506)	Prec@1 42.000 (37.684)	Prec@5 70.000 (68.569)
Epoch: [21][6470/9018]	Time 0.755 (0.615)	Data 0.001 (0.002)	Loss 2.7182 (2.5507)	Prec@1 38.000 (37.683)	Prec@5 65.500 (68.570)
Epoch: [21][6480/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5976 (2.5507)	Prec@1 40.000 (37.681)	Prec@5 66.500 (68.570)
Epoch: [21][6490/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.8270 (2.5507)	Prec@1 32.500 (37.681)	Prec@5 65.500 (68.571)
Epoch: [21][6500/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7527 (2.5507)	Prec@1 31.000 (37.677)	Prec@5 65.500 (68.568)
Epoch: [21][6510/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.6006 (2.5507)	Prec@1 35.500 (37.676)	Prec@5 67.000 (68.571)
Epoch: [21][6520/9018]	Time 0.718 (0.615)	Data 0.001 (0.002)	Loss 2.4308 (2.5508)	Prec@1 39.500 (37.675)	Prec@5 72.000 (68.569)
Epoch: [21][6530/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6411 (2.5508)	Prec@1 36.000 (37.672)	Prec@5 67.500 (68.569)
Epoch: [21][6540/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.6324 (2.5509)	Prec@1 37.000 (37.670)	Prec@5 69.000 (68.567)
Epoch: [21][6550/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.3734 (2.5509)	Prec@1 42.000 (37.670)	Prec@5 75.000 (68.567)
Epoch: [21][6560/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.4175 (2.5508)	Prec@1 43.500 (37.672)	Prec@5 69.000 (68.567)
Epoch: [21][6570/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6246 (2.5509)	Prec@1 37.500 (37.671)	Prec@5 65.000 (68.566)
Epoch: [21][6580/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.6126 (2.5509)	Prec@1 38.500 (37.672)	Prec@5 65.000 (68.566)
Epoch: [21][6590/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7010 (2.5509)	Prec@1 34.500 (37.671)	Prec@5 66.000 (68.566)
Epoch: [21][6600/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6540 (2.5509)	Prec@1 34.500 (37.672)	Prec@5 67.500 (68.565)
Epoch: [21][6610/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.2987 (2.5509)	Prec@1 40.000 (37.673)	Prec@5 74.500 (68.566)
Epoch: [21][6620/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4501 (2.5509)	Prec@1 38.000 (37.673)	Prec@5 68.000 (68.566)
Epoch: [21][6630/9018]	Time 0.593 (0.614)	Data 0.001 (0.002)	Loss 2.4026 (2.5509)	Prec@1 43.000 (37.673)	Prec@5 71.500 (68.565)
Epoch: [21][6640/9018]	Time 0.604 (0.614)	Data 0.001 (0.002)	Loss 2.4360 (2.5508)	Prec@1 41.500 (37.676)	Prec@5 70.000 (68.567)
Epoch: [21][6650/9018]	Time 0.593 (0.614)	Data 0.001 (0.002)	Loss 2.5673 (2.5508)	Prec@1 39.500 (37.677)	Prec@5 70.500 (68.569)
Epoch: [21][6660/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6510 (2.5508)	Prec@1 39.500 (37.677)	Prec@5 65.000 (68.568)
Epoch: [21][6670/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6198 (2.5510)	Prec@1 34.000 (37.675)	Prec@5 64.000 (68.564)
Epoch: [21][6680/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.3756 (2.5509)	Prec@1 40.500 (37.676)	Prec@5 68.500 (68.564)
Epoch: [21][6690/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5954 (2.5509)	Prec@1 38.000 (37.674)	Prec@5 66.500 (68.563)
Epoch: [21][6700/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4936 (2.5510)	Prec@1 38.000 (37.675)	Prec@5 69.500 (68.562)
Epoch: [21][6710/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6689 (2.5510)	Prec@1 33.500 (37.676)	Prec@5 62.000 (68.562)
Epoch: [21][6720/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.9325 (2.5511)	Prec@1 31.000 (37.675)	Prec@5 59.000 (68.560)
Epoch: [21][6730/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.3553 (2.5510)	Prec@1 45.000 (37.675)	Prec@5 68.000 (68.562)
Epoch: [21][6740/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.4940 (2.5509)	Prec@1 40.000 (37.677)	Prec@5 68.500 (68.563)
Epoch: [21][6750/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5092 (2.5509)	Prec@1 36.000 (37.677)	Prec@5 70.000 (68.563)
Epoch: [21][6760/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.6512 (2.5509)	Prec@1 36.000 (37.679)	Prec@5 63.500 (68.563)
Epoch: [21][6770/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4931 (2.5510)	Prec@1 40.500 (37.677)	Prec@5 67.000 (68.562)
Epoch: [21][6780/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6679 (2.5511)	Prec@1 34.500 (37.675)	Prec@5 65.500 (68.561)
Epoch: [21][6790/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4240 (2.5510)	Prec@1 38.500 (37.676)	Prec@5 73.000 (68.562)
Epoch: [21][6800/9018]	Time 0.783 (0.615)	Data 0.001 (0.002)	Loss 2.4762 (2.5510)	Prec@1 38.000 (37.676)	Prec@5 72.000 (68.562)
Epoch: [21][6810/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6518 (2.5511)	Prec@1 39.000 (37.676)	Prec@5 66.000 (68.561)
Epoch: [21][6820/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6108 (2.5511)	Prec@1 40.000 (37.675)	Prec@5 68.500 (68.560)
Epoch: [21][6830/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.4275 (2.5512)	Prec@1 33.500 (37.670)	Prec@5 72.000 (68.558)
Epoch: [21][6840/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.7344 (2.5513)	Prec@1 34.000 (37.670)	Prec@5 71.000 (68.558)
Epoch: [21][6850/9018]	Time 0.747 (0.615)	Data 0.001 (0.002)	Loss 2.5522 (2.5513)	Prec@1 32.500 (37.669)	Prec@5 71.500 (68.558)
Epoch: [21][6860/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 2.7362 (2.5513)	Prec@1 30.500 (37.669)	Prec@5 69.500 (68.559)
Epoch: [21][6870/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.3122 (2.5513)	Prec@1 39.500 (37.669)	Prec@5 71.500 (68.558)
Epoch: [21][6880/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.6936 (2.5512)	Prec@1 33.000 (37.670)	Prec@5 68.000 (68.559)
Epoch: [21][6890/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4282 (2.5510)	Prec@1 39.500 (37.672)	Prec@5 71.500 (68.561)
Epoch: [21][6900/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5127 (2.5511)	Prec@1 42.000 (37.671)	Prec@5 70.500 (68.561)
Epoch: [21][6910/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4834 (2.5509)	Prec@1 38.000 (37.672)	Prec@5 73.500 (68.563)
Epoch: [21][6920/9018]	Time 0.589 (0.615)	Data 0.001 (0.002)	Loss 2.3453 (2.5510)	Prec@1 38.500 (37.673)	Prec@5 74.000 (68.563)
Epoch: [21][6930/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.5661 (2.5510)	Prec@1 35.000 (37.673)	Prec@5 70.500 (68.561)
Epoch: [21][6940/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.3154 (2.5510)	Prec@1 39.000 (37.673)	Prec@5 72.500 (68.561)
Epoch: [21][6950/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.6443 (2.5510)	Prec@1 37.000 (37.671)	Prec@5 65.000 (68.562)
Epoch: [21][6960/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.3558 (2.5511)	Prec@1 40.000 (37.670)	Prec@5 76.500 (68.562)
Epoch: [21][6970/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5759 (2.5511)	Prec@1 37.500 (37.670)	Prec@5 69.000 (68.562)
Epoch: [21][6980/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.3739 (2.5511)	Prec@1 41.500 (37.672)	Prec@5 72.000 (68.562)
Epoch: [21][6990/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.3914 (2.5511)	Prec@1 43.000 (37.672)	Prec@5 74.000 (68.561)
Epoch: [21][7000/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.3367 (2.5510)	Prec@1 44.500 (37.674)	Prec@5 72.500 (68.564)
Epoch: [21][7010/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.4282 (2.5510)	Prec@1 40.500 (37.674)	Prec@5 73.500 (68.566)
Epoch: [21][7020/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6601 (2.5509)	Prec@1 35.000 (37.675)	Prec@5 67.000 (68.567)
Epoch: [21][7030/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.2851 (2.5510)	Prec@1 42.000 (37.674)	Prec@5 76.500 (68.567)
Epoch: [21][7040/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.4980 (2.5508)	Prec@1 38.000 (37.677)	Prec@5 72.500 (68.571)
Epoch: [21][7050/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.7601 (2.5509)	Prec@1 27.000 (37.672)	Prec@5 65.000 (68.568)
Epoch: [21][7060/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4401 (2.5510)	Prec@1 36.500 (37.671)	Prec@5 72.000 (68.567)
Epoch: [21][7070/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.7188 (2.5509)	Prec@1 34.500 (37.672)	Prec@5 65.000 (68.568)
Epoch: [21][7080/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.3874 (2.5510)	Prec@1 42.000 (37.671)	Prec@5 68.000 (68.567)
Epoch: [21][7090/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.7463 (2.5509)	Prec@1 33.000 (37.671)	Prec@5 62.000 (68.567)
Epoch: [21][7100/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7570 (2.5510)	Prec@1 37.000 (37.672)	Prec@5 65.500 (68.566)
Epoch: [21][7110/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4236 (2.5509)	Prec@1 40.500 (37.674)	Prec@5 72.500 (68.566)
Epoch: [21][7120/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.5187 (2.5510)	Prec@1 43.500 (37.673)	Prec@5 72.000 (68.565)
Epoch: [21][7130/9018]	Time 0.754 (0.615)	Data 0.001 (0.002)	Loss 2.6606 (2.5511)	Prec@1 36.500 (37.673)	Prec@5 67.500 (68.564)
Epoch: [21][7140/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4680 (2.5511)	Prec@1 40.000 (37.673)	Prec@5 71.500 (68.565)
Epoch: [21][7150/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5279 (2.5511)	Prec@1 39.500 (37.673)	Prec@5 69.000 (68.565)
Epoch: [21][7160/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5063 (2.5511)	Prec@1 38.000 (37.673)	Prec@5 64.000 (68.563)
Epoch: [21][7170/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.5389 (2.5511)	Prec@1 37.000 (37.674)	Prec@5 71.000 (68.564)
Epoch: [21][7180/9018]	Time 0.703 (0.615)	Data 0.001 (0.002)	Loss 2.6225 (2.5511)	Prec@1 30.500 (37.671)	Prec@5 67.500 (68.564)
Epoch: [21][7190/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7588 (2.5511)	Prec@1 36.500 (37.671)	Prec@5 63.000 (68.567)
Epoch: [21][7200/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.6720 (2.5511)	Prec@1 30.500 (37.671)	Prec@5 64.500 (68.566)
Epoch: [21][7210/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6879 (2.5512)	Prec@1 34.000 (37.670)	Prec@5 66.500 (68.564)
Epoch: [21][7220/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.6358 (2.5512)	Prec@1 36.000 (37.670)	Prec@5 67.500 (68.564)
Epoch: [21][7230/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.3866 (2.5513)	Prec@1 42.000 (37.667)	Prec@5 72.500 (68.564)
Epoch: [21][7240/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5148 (2.5511)	Prec@1 41.000 (37.671)	Prec@5 68.500 (68.568)
Epoch: [21][7250/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.7361 (2.5512)	Prec@1 33.000 (37.670)	Prec@5 63.500 (68.567)
Epoch: [21][7260/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6411 (2.5512)	Prec@1 35.500 (37.669)	Prec@5 70.000 (68.566)
Epoch: [21][7270/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.1900 (2.5512)	Prec@1 48.000 (37.669)	Prec@5 73.000 (68.565)
Epoch: [21][7280/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6004 (2.5512)	Prec@1 37.000 (37.668)	Prec@5 70.500 (68.566)
Epoch: [21][7290/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.4560 (2.5511)	Prec@1 40.500 (37.672)	Prec@5 75.500 (68.569)
Epoch: [21][7300/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.5539 (2.5511)	Prec@1 36.000 (37.673)	Prec@5 71.000 (68.572)
Epoch: [21][7310/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.6216 (2.5510)	Prec@1 30.000 (37.672)	Prec@5 67.000 (68.571)
Epoch: [21][7320/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5095 (2.5510)	Prec@1 38.000 (37.674)	Prec@5 71.500 (68.572)
Epoch: [21][7330/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.4015 (2.5510)	Prec@1 39.000 (37.675)	Prec@5 71.500 (68.572)
Epoch: [21][7340/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7282 (2.5510)	Prec@1 30.500 (37.676)	Prec@5 63.500 (68.570)
Epoch: [21][7350/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.4822 (2.5510)	Prec@1 40.000 (37.676)	Prec@5 68.500 (68.569)
Epoch: [21][7360/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.3671 (2.5509)	Prec@1 42.500 (37.678)	Prec@5 71.500 (68.570)
Epoch: [21][7370/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5096 (2.5509)	Prec@1 40.000 (37.679)	Prec@5 71.000 (68.571)
Epoch: [21][7380/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.5312 (2.5509)	Prec@1 38.500 (37.678)	Prec@5 70.000 (68.572)
Epoch: [21][7390/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7391 (2.5508)	Prec@1 34.000 (37.679)	Prec@5 66.500 (68.572)
Epoch: [21][7400/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6300 (2.5509)	Prec@1 37.500 (37.677)	Prec@5 66.500 (68.569)
Epoch: [21][7410/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.4815 (2.5509)	Prec@1 40.000 (37.677)	Prec@5 69.000 (68.568)
Epoch: [21][7420/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7581 (2.5509)	Prec@1 37.000 (37.679)	Prec@5 64.000 (68.566)
Epoch: [21][7430/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5907 (2.5510)	Prec@1 40.500 (37.680)	Prec@5 66.500 (68.566)
Epoch: [21][7440/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.5852 (2.5510)	Prec@1 33.500 (37.680)	Prec@5 67.500 (68.566)
Epoch: [21][7450/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4699 (2.5510)	Prec@1 40.000 (37.681)	Prec@5 71.500 (68.568)
Epoch: [21][7460/9018]	Time 0.753 (0.615)	Data 0.001 (0.002)	Loss 2.7098 (2.5510)	Prec@1 34.500 (37.682)	Prec@5 69.000 (68.568)
Epoch: [21][7470/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.6418 (2.5511)	Prec@1 33.500 (37.682)	Prec@5 66.000 (68.565)
Epoch: [21][7480/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.3444 (2.5510)	Prec@1 42.000 (37.684)	Prec@5 71.000 (68.567)
Epoch: [21][7490/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7984 (2.5511)	Prec@1 36.500 (37.682)	Prec@5 63.000 (68.566)
Epoch: [21][7500/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.6869 (2.5510)	Prec@1 36.500 (37.683)	Prec@5 66.000 (68.566)
Epoch: [21][7510/9018]	Time 0.720 (0.615)	Data 0.001 (0.002)	Loss 2.5775 (2.5511)	Prec@1 38.500 (37.681)	Prec@5 65.500 (68.564)
Epoch: [21][7520/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4413 (2.5511)	Prec@1 38.000 (37.679)	Prec@5 73.500 (68.560)
Epoch: [21][7530/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6651 (2.5511)	Prec@1 37.000 (37.678)	Prec@5 67.500 (68.561)
Epoch: [21][7540/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.7060 (2.5511)	Prec@1 35.500 (37.678)	Prec@5 61.500 (68.560)
Epoch: [21][7550/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.5726 (2.5510)	Prec@1 38.000 (37.678)	Prec@5 68.500 (68.562)
Epoch: [21][7560/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6422 (2.5510)	Prec@1 36.000 (37.679)	Prec@5 66.500 (68.563)
Epoch: [21][7570/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.5216 (2.5509)	Prec@1 42.500 (37.681)	Prec@5 70.000 (68.564)
Epoch: [21][7580/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7960 (2.5509)	Prec@1 38.000 (37.682)	Prec@5 62.000 (68.563)
Epoch: [21][7590/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6125 (2.5510)	Prec@1 35.500 (37.681)	Prec@5 67.500 (68.561)
Epoch: [21][7600/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.6382 (2.5511)	Prec@1 34.000 (37.680)	Prec@5 61.500 (68.559)
Epoch: [21][7610/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.6473 (2.5511)	Prec@1 32.500 (37.681)	Prec@5 67.500 (68.560)
Epoch: [21][7620/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.5167 (2.5510)	Prec@1 36.000 (37.680)	Prec@5 69.500 (68.561)
Epoch: [21][7630/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6848 (2.5511)	Prec@1 37.000 (37.680)	Prec@5 67.000 (68.560)
Epoch: [21][7640/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6187 (2.5509)	Prec@1 31.500 (37.681)	Prec@5 68.000 (68.561)
Epoch: [21][7650/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.5300 (2.5510)	Prec@1 41.000 (37.683)	Prec@5 66.500 (68.560)
Epoch: [21][7660/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.3982 (2.5510)	Prec@1 40.500 (37.682)	Prec@5 71.000 (68.560)
Epoch: [21][7670/9018]	Time 0.624 (0.615)	Data 0.002 (0.002)	Loss 2.4840 (2.5510)	Prec@1 36.500 (37.681)	Prec@5 70.000 (68.560)
Epoch: [21][7680/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.7604 (2.5510)	Prec@1 29.000 (37.680)	Prec@5 63.000 (68.559)
Epoch: [21][7690/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6831 (2.5511)	Prec@1 37.500 (37.679)	Prec@5 69.500 (68.559)
Epoch: [21][7700/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7461 (2.5512)	Prec@1 32.500 (37.675)	Prec@5 64.000 (68.557)
Epoch: [21][7710/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6167 (2.5512)	Prec@1 34.000 (37.674)	Prec@5 73.000 (68.558)
Epoch: [21][7720/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 2.5355 (2.5512)	Prec@1 31.000 (37.672)	Prec@5 71.000 (68.557)
Epoch: [21][7730/9018]	Time 0.603 (0.615)	Data 0.001 (0.003)	Loss 2.6239 (2.5512)	Prec@1 38.500 (37.673)	Prec@5 66.500 (68.556)
Epoch: [21][7740/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 2.6237 (2.5513)	Prec@1 35.000 (37.671)	Prec@5 66.000 (68.554)
Epoch: [21][7750/9018]	Time 0.601 (0.615)	Data 0.001 (0.003)	Loss 2.3207 (2.5512)	Prec@1 40.000 (37.674)	Prec@5 72.000 (68.555)
Epoch: [21][7760/9018]	Time 0.609 (0.615)	Data 0.001 (0.003)	Loss 2.5434 (2.5512)	Prec@1 38.500 (37.675)	Prec@5 68.000 (68.556)
Epoch: [21][7770/9018]	Time 0.605 (0.615)	Data 0.001 (0.003)	Loss 2.5833 (2.5513)	Prec@1 39.500 (37.674)	Prec@5 67.500 (68.554)
Epoch: [21][7780/9018]	Time 0.592 (0.615)	Data 0.001 (0.003)	Loss 2.7852 (2.5513)	Prec@1 27.000 (37.674)	Prec@5 65.500 (68.554)
Epoch: [21][7790/9018]	Time 0.722 (0.615)	Data 0.001 (0.003)	Loss 2.6139 (2.5513)	Prec@1 37.500 (37.674)	Prec@5 67.000 (68.554)
Epoch: [21][7800/9018]	Time 0.598 (0.615)	Data 0.001 (0.003)	Loss 2.4948 (2.5513)	Prec@1 41.500 (37.676)	Prec@5 68.500 (68.552)
Epoch: [21][7810/9018]	Time 0.603 (0.615)	Data 0.001 (0.003)	Loss 2.6899 (2.5513)	Prec@1 34.000 (37.675)	Prec@5 65.500 (68.552)
Epoch: [21][7820/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 2.4925 (2.5514)	Prec@1 43.000 (37.675)	Prec@5 69.000 (68.552)
Epoch: [21][7830/9018]	Time 0.625 (0.615)	Data 0.001 (0.003)	Loss 2.6671 (2.5515)	Prec@1 37.000 (37.675)	Prec@5 61.500 (68.549)
Epoch: [21][7840/9018]	Time 0.720 (0.615)	Data 0.001 (0.003)	Loss 2.8688 (2.5515)	Prec@1 31.500 (37.675)	Prec@5 63.500 (68.548)
Epoch: [21][7850/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 2.5291 (2.5515)	Prec@1 39.500 (37.675)	Prec@5 69.000 (68.548)
Epoch: [21][7860/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 2.6224 (2.5515)	Prec@1 39.000 (37.676)	Prec@5 66.000 (68.549)
Epoch: [21][7870/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 2.5690 (2.5515)	Prec@1 39.000 (37.677)	Prec@5 66.500 (68.549)
Epoch: [21][7880/9018]	Time 0.598 (0.615)	Data 0.001 (0.003)	Loss 2.5553 (2.5515)	Prec@1 41.000 (37.677)	Prec@5 68.500 (68.550)
Epoch: [21][7890/9018]	Time 0.631 (0.615)	Data 0.001 (0.003)	Loss 2.4348 (2.5515)	Prec@1 37.500 (37.676)	Prec@5 70.500 (68.549)
Epoch: [21][7900/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 2.6521 (2.5515)	Prec@1 34.500 (37.675)	Prec@5 65.000 (68.549)
Epoch: [21][7910/9018]	Time 0.600 (0.615)	Data 0.001 (0.003)	Loss 2.5030 (2.5515)	Prec@1 39.000 (37.676)	Prec@5 68.500 (68.550)
Epoch: [21][7920/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 2.6112 (2.5516)	Prec@1 37.000 (37.675)	Prec@5 63.000 (68.549)
Epoch: [21][7930/9018]	Time 0.598 (0.615)	Data 0.001 (0.003)	Loss 2.5503 (2.5517)	Prec@1 44.000 (37.673)	Prec@5 68.000 (68.546)
Epoch: [21][7940/9018]	Time 0.601 (0.615)	Data 0.001 (0.003)	Loss 2.4770 (2.5518)	Prec@1 39.500 (37.671)	Prec@5 67.500 (68.544)
Epoch: [21][7950/9018]	Time 0.598 (0.615)	Data 0.001 (0.003)	Loss 2.7211 (2.5518)	Prec@1 36.500 (37.671)	Prec@5 63.500 (68.543)
Epoch: [21][7960/9018]	Time 0.598 (0.615)	Data 0.001 (0.003)	Loss 2.7747 (2.5518)	Prec@1 37.500 (37.671)	Prec@5 62.500 (68.545)
Epoch: [21][7970/9018]	Time 0.600 (0.615)	Data 0.001 (0.003)	Loss 2.5541 (2.5517)	Prec@1 34.000 (37.672)	Prec@5 69.000 (68.546)
Epoch: [21][7980/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 2.6714 (2.5517)	Prec@1 32.500 (37.670)	Prec@5 66.000 (68.546)
Epoch: [21][7990/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 2.7704 (2.5518)	Prec@1 34.500 (37.669)	Prec@5 65.500 (68.545)
Epoch: [21][8000/9018]	Time 0.628 (0.615)	Data 0.001 (0.003)	Loss 2.5720 (2.5518)	Prec@1 36.500 (37.669)	Prec@5 68.500 (68.544)
Epoch: [21][8010/9018]	Time 0.601 (0.615)	Data 0.001 (0.003)	Loss 2.4099 (2.5519)	Prec@1 43.000 (37.669)	Prec@5 69.500 (68.543)
Epoch: [21][8020/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 2.4762 (2.5519)	Prec@1 38.500 (37.668)	Prec@5 71.000 (68.543)
Epoch: [21][8030/9018]	Time 0.601 (0.615)	Data 0.001 (0.003)	Loss 2.6032 (2.5518)	Prec@1 37.500 (37.670)	Prec@5 67.500 (68.545)
Epoch: [21][8040/9018]	Time 0.606 (0.615)	Data 0.001 (0.003)	Loss 2.4315 (2.5519)	Prec@1 36.000 (37.668)	Prec@5 68.500 (68.544)
Epoch: [21][8050/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 2.6186 (2.5519)	Prec@1 38.500 (37.668)	Prec@5 66.500 (68.543)
Epoch: [21][8060/9018]	Time 0.963 (0.615)	Data 0.416 (0.003)	Loss 2.7709 (2.5519)	Prec@1 33.500 (37.668)	Prec@5 63.000 (68.542)
Epoch: [21][8070/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 2.4702 (2.5519)	Prec@1 36.500 (37.668)	Prec@5 72.000 (68.544)
Epoch: [21][8080/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 2.5866 (2.5519)	Prec@1 38.000 (37.667)	Prec@5 67.500 (68.542)
Epoch: [21][8090/9018]	Time 0.592 (0.615)	Data 0.001 (0.003)	Loss 2.4128 (2.5519)	Prec@1 39.000 (37.668)	Prec@5 71.000 (68.543)
Epoch: [21][8100/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 2.6142 (2.5519)	Prec@1 40.500 (37.668)	Prec@5 64.500 (68.542)
Epoch: [21][8110/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 2.6542 (2.5520)	Prec@1 35.500 (37.667)	Prec@5 67.000 (68.541)
Epoch: [21][8120/9018]	Time 0.722 (0.615)	Data 0.001 (0.003)	Loss 2.6231 (2.5521)	Prec@1 36.500 (37.666)	Prec@5 66.500 (68.540)
Epoch: [21][8130/9018]	Time 0.605 (0.615)	Data 0.001 (0.003)	Loss 2.5159 (2.5520)	Prec@1 38.500 (37.667)	Prec@5 68.500 (68.541)
Epoch: [21][8140/9018]	Time 0.592 (0.615)	Data 0.001 (0.003)	Loss 2.5707 (2.5520)	Prec@1 33.500 (37.668)	Prec@5 63.000 (68.541)
Epoch: [21][8150/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 2.7542 (2.5520)	Prec@1 39.500 (37.668)	Prec@5 66.000 (68.542)
Epoch: [21][8160/9018]	Time 0.619 (0.615)	Data 0.001 (0.003)	Loss 2.3949 (2.5518)	Prec@1 41.500 (37.672)	Prec@5 68.000 (68.543)
Epoch: [21][8170/9018]	Time 0.717 (0.615)	Data 0.001 (0.003)	Loss 2.3280 (2.5518)	Prec@1 41.000 (37.672)	Prec@5 71.500 (68.543)
Epoch: [21][8180/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 2.5637 (2.5518)	Prec@1 41.000 (37.673)	Prec@5 69.500 (68.542)
Epoch: [21][8190/9018]	Time 0.607 (0.615)	Data 0.001 (0.003)	Loss 2.4878 (2.5518)	Prec@1 41.500 (37.676)	Prec@5 70.500 (68.543)
Epoch: [21][8200/9018]	Time 0.599 (0.615)	Data 0.009 (0.003)	Loss 2.5763 (2.5518)	Prec@1 35.500 (37.675)	Prec@5 68.000 (68.543)
Epoch: [21][8210/9018]	Time 0.590 (0.615)	Data 0.001 (0.003)	Loss 2.4286 (2.5517)	Prec@1 38.000 (37.677)	Prec@5 71.500 (68.544)
Epoch: [21][8220/9018]	Time 0.603 (0.615)	Data 0.001 (0.003)	Loss 2.8087 (2.5518)	Prec@1 31.000 (37.674)	Prec@5 64.000 (68.542)
Epoch: [21][8230/9018]	Time 0.600 (0.615)	Data 0.001 (0.003)	Loss 2.6017 (2.5518)	Prec@1 34.500 (37.674)	Prec@5 67.500 (68.542)
Epoch: [21][8240/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 2.7024 (2.5518)	Prec@1 36.500 (37.673)	Prec@5 64.500 (68.541)
Epoch: [21][8250/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 2.6687 (2.5518)	Prec@1 36.000 (37.673)	Prec@5 64.000 (68.540)
Epoch: [21][8260/9018]	Time 0.600 (0.615)	Data 0.001 (0.003)	Loss 2.7632 (2.5520)	Prec@1 39.500 (37.672)	Prec@5 62.000 (68.538)
Epoch: [21][8270/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 2.3477 (2.5520)	Prec@1 38.000 (37.671)	Prec@5 71.000 (68.538)
Epoch: [21][8280/9018]	Time 0.624 (0.615)	Data 0.001 (0.003)	Loss 2.4566 (2.5519)	Prec@1 40.500 (37.671)	Prec@5 69.500 (68.540)
Epoch: [21][8290/9018]	Time 0.600 (0.615)	Data 0.001 (0.003)	Loss 2.5060 (2.5520)	Prec@1 41.000 (37.671)	Prec@5 70.000 (68.540)
Epoch: [21][8300/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 2.6987 (2.5519)	Prec@1 31.500 (37.670)	Prec@5 69.500 (68.540)
Epoch: [21][8310/9018]	Time 0.606 (0.615)	Data 0.001 (0.003)	Loss 2.4291 (2.5519)	Prec@1 39.000 (37.670)	Prec@5 75.500 (68.540)
Epoch: [21][8320/9018]	Time 0.616 (0.615)	Data 0.001 (0.003)	Loss 2.5165 (2.5520)	Prec@1 37.500 (37.668)	Prec@5 66.000 (68.539)
Epoch: [21][8330/9018]	Time 0.592 (0.615)	Data 0.001 (0.003)	Loss 2.3263 (2.5520)	Prec@1 43.500 (37.668)	Prec@5 71.500 (68.540)
Epoch: [21][8340/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 2.3398 (2.5519)	Prec@1 40.000 (37.670)	Prec@5 72.000 (68.540)
Epoch: [21][8350/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 2.7017 (2.5519)	Prec@1 33.000 (37.669)	Prec@5 66.500 (68.542)
Epoch: [21][8360/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 2.8781 (2.5519)	Prec@1 27.000 (37.670)	Prec@5 59.500 (68.541)
Epoch: [21][8370/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 2.4710 (2.5519)	Prec@1 42.000 (37.670)	Prec@5 67.500 (68.541)
Epoch: [21][8380/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 2.7162 (2.5519)	Prec@1 36.000 (37.670)	Prec@5 63.500 (68.542)
Epoch: [21][8390/9018]	Time 0.604 (0.615)	Data 0.001 (0.003)	Loss 2.8174 (2.5519)	Prec@1 38.000 (37.669)	Prec@5 67.500 (68.541)
Epoch: [21][8400/9018]	Time 0.590 (0.615)	Data 0.001 (0.003)	Loss 2.7778 (2.5520)	Prec@1 35.500 (37.669)	Prec@5 66.500 (68.541)
Epoch: [21][8410/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 2.3171 (2.5519)	Prec@1 41.000 (37.669)	Prec@5 70.500 (68.542)
Epoch: [21][8420/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 2.9842 (2.5520)	Prec@1 32.500 (37.668)	Prec@5 58.500 (68.541)
Epoch: [21][8430/9018]	Time 0.625 (0.615)	Data 0.001 (0.003)	Loss 2.4911 (2.5520)	Prec@1 39.500 (37.668)	Prec@5 67.000 (68.541)
Epoch: [21][8440/9018]	Time 0.601 (0.615)	Data 0.001 (0.003)	Loss 2.7255 (2.5519)	Prec@1 30.000 (37.670)	Prec@5 62.000 (68.541)
Epoch: [21][8450/9018]	Time 0.773 (0.615)	Data 0.001 (0.003)	Loss 2.3630 (2.5518)	Prec@1 36.000 (37.671)	Prec@5 74.500 (68.543)
Epoch: [21][8460/9018]	Time 0.598 (0.615)	Data 0.001 (0.003)	Loss 2.5674 (2.5519)	Prec@1 35.500 (37.670)	Prec@5 69.500 (68.543)
Epoch: [21][8470/9018]	Time 0.592 (0.615)	Data 0.001 (0.003)	Loss 2.5616 (2.5519)	Prec@1 36.500 (37.669)	Prec@5 69.000 (68.543)
Epoch: [21][8480/9018]	Time 0.603 (0.615)	Data 0.001 (0.003)	Loss 2.5625 (2.5520)	Prec@1 40.000 (37.667)	Prec@5 65.500 (68.540)
Epoch: [21][8490/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 2.6597 (2.5520)	Prec@1 33.000 (37.666)	Prec@5 65.500 (68.541)
Epoch: [21][8500/9018]	Time 0.728 (0.615)	Data 0.001 (0.003)	Loss 2.6225 (2.5520)	Prec@1 35.000 (37.664)	Prec@5 68.000 (68.540)
Epoch: [21][8510/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 2.5999 (2.5521)	Prec@1 34.500 (37.664)	Prec@5 66.000 (68.538)
Epoch: [21][8520/9018]	Time 0.613 (0.615)	Data 0.001 (0.003)	Loss 2.5874 (2.5521)	Prec@1 37.500 (37.663)	Prec@5 68.500 (68.539)
Epoch: [21][8530/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 2.4947 (2.5522)	Prec@1 39.000 (37.663)	Prec@5 71.500 (68.539)
Epoch: [21][8540/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 2.4971 (2.5522)	Prec@1 36.000 (37.663)	Prec@5 66.500 (68.538)
Epoch: [21][8550/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 2.3683 (2.5522)	Prec@1 42.000 (37.664)	Prec@5 73.500 (68.537)
Epoch: [21][8560/9018]	Time 0.605 (0.615)	Data 0.001 (0.003)	Loss 2.5723 (2.5522)	Prec@1 36.500 (37.664)	Prec@5 67.500 (68.537)
Epoch: [21][8570/9018]	Time 0.614 (0.615)	Data 0.001 (0.003)	Loss 2.4943 (2.5521)	Prec@1 40.000 (37.666)	Prec@5 72.500 (68.539)
Epoch: [21][8580/9018]	Time 0.607 (0.615)	Data 0.001 (0.003)	Loss 2.6016 (2.5521)	Prec@1 36.000 (37.667)	Prec@5 67.000 (68.540)
Epoch: [21][8590/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 2.5159 (2.5521)	Prec@1 41.000 (37.667)	Prec@5 72.000 (68.540)
Epoch: [21][8600/9018]	Time 0.605 (0.615)	Data 0.001 (0.003)	Loss 2.7173 (2.5522)	Prec@1 36.000 (37.666)	Prec@5 67.500 (68.538)
Epoch: [21][8610/9018]	Time 0.605 (0.615)	Data 0.001 (0.003)	Loss 2.5829 (2.5522)	Prec@1 33.000 (37.666)	Prec@5 70.500 (68.538)
Epoch: [21][8620/9018]	Time 0.600 (0.615)	Data 0.001 (0.003)	Loss 2.4411 (2.5522)	Prec@1 38.000 (37.665)	Prec@5 71.500 (68.538)
Epoch: [21][8630/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 2.4461 (2.5521)	Prec@1 42.500 (37.667)	Prec@5 71.500 (68.539)
Epoch: [21][8640/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 2.6462 (2.5521)	Prec@1 38.500 (37.669)	Prec@5 64.500 (68.539)
Epoch: [21][8650/9018]	Time 0.592 (0.615)	Data 0.001 (0.003)	Loss 2.5396 (2.5521)	Prec@1 40.500 (37.669)	Prec@5 62.500 (68.538)
Epoch: [21][8660/9018]	Time 0.609 (0.615)	Data 0.001 (0.003)	Loss 2.4138 (2.5521)	Prec@1 39.500 (37.668)	Prec@5 69.500 (68.537)
Epoch: [21][8670/9018]	Time 0.611 (0.615)	Data 0.001 (0.003)	Loss 2.6158 (2.5521)	Prec@1 33.500 (37.669)	Prec@5 68.000 (68.537)
Epoch: [21][8680/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 2.6877 (2.5522)	Prec@1 32.000 (37.669)	Prec@5 65.500 (68.536)
Epoch: [21][8690/9018]	Time 0.612 (0.615)	Data 0.001 (0.003)	Loss 2.6747 (2.5523)	Prec@1 31.500 (37.666)	Prec@5 67.000 (68.534)
Epoch: [21][8700/9018]	Time 0.612 (0.615)	Data 0.001 (0.003)	Loss 2.6388 (2.5523)	Prec@1 34.500 (37.664)	Prec@5 69.000 (68.534)
Epoch: [21][8710/9018]	Time 0.626 (0.615)	Data 0.001 (0.003)	Loss 2.5953 (2.5523)	Prec@1 33.000 (37.664)	Prec@5 67.500 (68.534)
Epoch: [21][8720/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 2.7686 (2.5523)	Prec@1 32.000 (37.662)	Prec@5 64.500 (68.535)
Epoch: [21][8730/9018]	Time 0.601 (0.615)	Data 0.001 (0.003)	Loss 2.5043 (2.5523)	Prec@1 38.500 (37.663)	Prec@5 72.000 (68.534)
Epoch: [21][8740/9018]	Time 0.618 (0.615)	Data 0.001 (0.003)	Loss 2.4735 (2.5523)	Prec@1 39.000 (37.663)	Prec@5 73.000 (68.535)
Epoch: [21][8750/9018]	Time 0.601 (0.615)	Data 0.001 (0.003)	Loss 2.6516 (2.5523)	Prec@1 32.500 (37.661)	Prec@5 68.000 (68.535)
Epoch: [21][8760/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 2.6339 (2.5524)	Prec@1 37.000 (37.661)	Prec@5 65.500 (68.534)
Epoch: [21][8770/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 2.4019 (2.5523)	Prec@1 40.000 (37.661)	Prec@5 70.500 (68.533)
Epoch: [21][8780/9018]	Time 0.719 (0.615)	Data 0.001 (0.003)	Loss 2.5678 (2.5523)	Prec@1 33.500 (37.661)	Prec@5 70.500 (68.533)
Epoch: [21][8790/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 2.5172 (2.5523)	Prec@1 41.000 (37.660)	Prec@5 71.500 (68.534)
Epoch: [21][8800/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 2.6633 (2.5523)	Prec@1 36.000 (37.660)	Prec@5 64.000 (68.533)
Epoch: [21][8810/9018]	Time 0.598 (0.615)	Data 0.001 (0.003)	Loss 2.5257 (2.5524)	Prec@1 42.500 (37.659)	Prec@5 66.500 (68.532)
Epoch: [21][8820/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 2.6163 (2.5523)	Prec@1 34.500 (37.660)	Prec@5 66.000 (68.533)
Epoch: [21][8830/9018]	Time 0.724 (0.615)	Data 0.001 (0.003)	Loss 2.2117 (2.5522)	Prec@1 46.000 (37.661)	Prec@5 74.000 (68.535)
Epoch: [21][8840/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 2.7281 (2.5523)	Prec@1 36.000 (37.660)	Prec@5 64.500 (68.535)
Epoch: [21][8850/9018]	Time 0.604 (0.615)	Data 0.001 (0.003)	Loss 2.5827 (2.5524)	Prec@1 38.500 (37.660)	Prec@5 72.000 (68.535)
Epoch: [21][8860/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 2.7906 (2.5524)	Prec@1 33.000 (37.660)	Prec@5 62.000 (68.535)
Epoch: [21][8870/9018]	Time 0.605 (0.615)	Data 0.001 (0.003)	Loss 2.6099 (2.5524)	Prec@1 36.500 (37.661)	Prec@5 66.500 (68.535)
Epoch: [21][8880/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 2.5302 (2.5524)	Prec@1 32.500 (37.660)	Prec@5 66.000 (68.536)
Epoch: [21][8890/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 2.4926 (2.5524)	Prec@1 37.500 (37.658)	Prec@5 70.000 (68.535)
Epoch: [21][8900/9018]	Time 0.592 (0.615)	Data 0.001 (0.003)	Loss 2.4856 (2.5524)	Prec@1 39.500 (37.660)	Prec@5 69.500 (68.535)
Epoch: [21][8910/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 2.4035 (2.5523)	Prec@1 39.000 (37.660)	Prec@5 74.000 (68.537)
Epoch: [21][8920/9018]	Time 0.618 (0.615)	Data 0.001 (0.003)	Loss 2.3927 (2.5523)	Prec@1 42.500 (37.661)	Prec@5 72.000 (68.537)
Epoch: [21][8930/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 2.8408 (2.5523)	Prec@1 31.500 (37.661)	Prec@5 65.500 (68.537)
Epoch: [21][8940/9018]	Time 0.607 (0.615)	Data 0.001 (0.003)	Loss 2.6436 (2.5524)	Prec@1 36.000 (37.660)	Prec@5 67.000 (68.535)
Epoch: [21][8950/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 2.4518 (2.5524)	Prec@1 38.000 (37.657)	Prec@5 69.000 (68.534)
Epoch: [21][8960/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 2.6586 (2.5525)	Prec@1 33.500 (37.657)	Prec@5 65.500 (68.533)
Epoch: [21][8970/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 2.5918 (2.5524)	Prec@1 38.000 (37.658)	Prec@5 65.000 (68.533)
Epoch: [21][8980/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 2.7197 (2.5524)	Prec@1 36.500 (37.660)	Prec@5 63.500 (68.533)
Epoch: [21][8990/9018]	Time 0.617 (0.615)	Data 0.001 (0.003)	Loss 2.6531 (2.5524)	Prec@1 37.500 (37.662)	Prec@5 67.000 (68.534)
Epoch: [21][9000/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 2.5369 (2.5524)	Prec@1 38.000 (37.661)	Prec@5 69.500 (68.532)
Epoch: [21][9010/9018]	Time 0.592 (0.615)	Data 0.000 (0.003)	Loss 2.6913 (2.5524)	Prec@1 33.500 (37.660)	Prec@5 66.500 (68.532)
Test: [0/183]	Time 3.121 (3.121)	Loss 2.6663 (2.6663)	Prec@1 33.500 (33.500)	Prec@5 68.500 (68.500)
Test: [10/183]	Time 0.306 (0.475)	Loss 2.6646 (2.3099)	Prec@1 39.500 (41.000)	Prec@5 65.000 (74.273)
Test: [20/183]	Time 0.183 (0.338)	Loss 2.8692 (2.2466)	Prec@1 31.000 (42.095)	Prec@5 66.000 (75.381)
Test: [30/183]	Time 0.182 (0.291)	Loss 2.5399 (2.2120)	Prec@1 42.000 (42.887)	Prec@5 68.000 (75.823)
Test: [40/183]	Time 0.192 (0.267)	Loss 1.8499 (2.1991)	Prec@1 53.500 (44.451)	Prec@5 84.500 (75.280)
Test: [50/183]	Time 0.186 (0.252)	Loss 1.8181 (2.1841)	Prec@1 47.500 (44.863)	Prec@5 87.000 (75.382)
Test: [60/183]	Time 0.238 (0.242)	Loss 2.9263 (2.2424)	Prec@1 26.500 (43.090)	Prec@5 64.000 (74.631)
Test: [70/183]	Time 0.191 (0.235)	Loss 2.1934 (2.2526)	Prec@1 47.000 (43.056)	Prec@5 80.000 (74.789)
Test: [80/183]	Time 0.196 (0.230)	Loss 2.3491 (2.2583)	Prec@1 32.000 (42.772)	Prec@5 79.500 (74.747)
Test: [90/183]	Time 0.198 (0.225)	Loss 3.0918 (2.2539)	Prec@1 22.000 (42.544)	Prec@5 57.000 (74.945)
Test: [100/183]	Time 0.179 (0.222)	Loss 1.6139 (2.2620)	Prec@1 56.500 (42.396)	Prec@5 86.500 (74.861)
Test: [110/183]	Time 0.259 (0.219)	Loss 1.4988 (2.2686)	Prec@1 61.500 (42.387)	Prec@5 92.500 (74.761)
Test: [120/183]	Time 0.206 (0.217)	Loss 2.1352 (2.2673)	Prec@1 47.000 (42.182)	Prec@5 77.500 (74.806)
Test: [130/183]	Time 0.201 (0.215)	Loss 3.9190 (2.2948)	Prec@1 7.500 (41.427)	Prec@5 41.000 (74.366)
Test: [140/183]	Time 0.180 (0.213)	Loss 2.3202 (2.2803)	Prec@1 38.000 (41.954)	Prec@5 69.500 (74.475)
Test: [150/183]	Time 0.187 (0.212)	Loss 1.0549 (2.2730)	Prec@1 70.000 (42.089)	Prec@5 96.000 (74.606)
Test: [160/183]	Time 0.190 (0.211)	Loss 2.3381 (2.2673)	Prec@1 42.500 (42.252)	Prec@5 68.500 (74.668)
Test: [170/183]	Time 0.203 (0.210)	Loss 2.3096 (2.2852)	Prec@1 36.000 (41.857)	Prec@5 79.000 (74.228)
Test: [180/183]	Time 0.178 (0.209)	Loss 2.3595 (2.2985)	Prec@1 45.000 (41.624)	Prec@5 73.000 (73.967)
 * Prec@1 41.553 Prec@5 73.970
Epoch: [22][0/9018]	Time 2.794 (2.794)	Data 2.181 (2.181)	Loss 2.5961 (2.5961)	Prec@1 38.000 (38.000)	Prec@5 66.000 (66.000)
Epoch: [22][10/9018]	Time 0.594 (0.814)	Data 0.001 (0.199)	Loss 2.5947 (2.5524)	Prec@1 39.000 (37.864)	Prec@5 68.500 (69.318)
Epoch: [22][20/9018]	Time 0.601 (0.710)	Data 0.001 (0.105)	Loss 2.7216 (2.5955)	Prec@1 34.500 (36.500)	Prec@5 64.500 (68.024)
Epoch: [22][30/9018]	Time 0.600 (0.677)	Data 0.001 (0.071)	Loss 2.6036 (2.5975)	Prec@1 35.000 (36.629)	Prec@5 69.000 (68.048)
Epoch: [22][40/9018]	Time 0.593 (0.658)	Data 0.001 (0.054)	Loss 2.5988 (2.5940)	Prec@1 37.000 (36.963)	Prec@5 66.000 (67.890)
Epoch: [22][50/9018]	Time 0.594 (0.648)	Data 0.001 (0.044)	Loss 2.5361 (2.5830)	Prec@1 37.500 (37.147)	Prec@5 68.500 (68.176)
Epoch: [22][60/9018]	Time 0.623 (0.643)	Data 0.001 (0.037)	Loss 2.5112 (2.5540)	Prec@1 35.000 (37.623)	Prec@5 72.000 (68.762)
Epoch: [22][70/9018]	Time 0.600 (0.637)	Data 0.001 (0.031)	Loss 2.4655 (2.5393)	Prec@1 40.500 (37.768)	Prec@5 68.000 (68.803)
Epoch: [22][80/9018]	Time 0.599 (0.634)	Data 0.001 (0.028)	Loss 2.4486 (2.5400)	Prec@1 41.500 (37.765)	Prec@5 68.000 (68.846)
Epoch: [22][90/9018]	Time 0.618 (0.631)	Data 0.001 (0.025)	Loss 2.4302 (2.5431)	Prec@1 43.000 (37.714)	Prec@5 68.500 (68.885)
Epoch: [22][100/9018]	Time 0.596 (0.629)	Data 0.001 (0.022)	Loss 2.2492 (2.5350)	Prec@1 38.000 (37.837)	Prec@5 73.500 (68.990)
Epoch: [22][110/9018]	Time 0.604 (0.628)	Data 0.001 (0.020)	Loss 2.6837 (2.5373)	Prec@1 33.000 (37.784)	Prec@5 67.000 (68.910)
Epoch: [22][120/9018]	Time 0.603 (0.626)	Data 0.001 (0.019)	Loss 2.5639 (2.5321)	Prec@1 34.000 (37.926)	Prec@5 74.000 (69.074)
Epoch: [22][130/9018]	Time 0.601 (0.625)	Data 0.001 (0.017)	Loss 2.5062 (2.5321)	Prec@1 37.000 (37.927)	Prec@5 72.500 (69.141)
Epoch: [22][140/9018]	Time 0.599 (0.623)	Data 0.001 (0.016)	Loss 2.5300 (2.5311)	Prec@1 36.500 (37.876)	Prec@5 71.000 (69.199)
Epoch: [22][150/9018]	Time 0.601 (0.623)	Data 0.001 (0.015)	Loss 2.3158 (2.5274)	Prec@1 45.000 (38.083)	Prec@5 72.000 (69.209)
Epoch: [22][160/9018]	Time 0.601 (0.623)	Data 0.001 (0.014)	Loss 2.8270 (2.5340)	Prec@1 32.500 (38.016)	Prec@5 60.000 (69.022)
Epoch: [22][170/9018]	Time 0.604 (0.622)	Data 0.001 (0.014)	Loss 2.5523 (2.5357)	Prec@1 37.000 (38.102)	Prec@5 72.000 (68.944)
Epoch: [22][180/9018]	Time 0.604 (0.621)	Data 0.001 (0.013)	Loss 2.5943 (2.5355)	Prec@1 34.500 (38.102)	Prec@5 68.500 (68.953)
Epoch: [22][190/9018]	Time 0.602 (0.620)	Data 0.001 (0.012)	Loss 2.6202 (2.5409)	Prec@1 36.000 (37.935)	Prec@5 69.500 (68.893)
Epoch: [22][200/9018]	Time 0.612 (0.620)	Data 0.001 (0.012)	Loss 2.6910 (2.5428)	Prec@1 35.500 (37.935)	Prec@5 69.500 (68.843)
Epoch: [22][210/9018]	Time 0.600 (0.620)	Data 0.001 (0.011)	Loss 2.3971 (2.5426)	Prec@1 43.500 (37.900)	Prec@5 74.500 (68.879)
Epoch: [22][220/9018]	Time 0.604 (0.619)	Data 0.001 (0.011)	Loss 2.5162 (2.5447)	Prec@1 38.000 (37.855)	Prec@5 64.500 (68.819)
Epoch: [22][230/9018]	Time 0.600 (0.619)	Data 0.001 (0.010)	Loss 2.5361 (2.5460)	Prec@1 35.000 (37.838)	Prec@5 66.500 (68.792)
Epoch: [22][240/9018]	Time 0.700 (0.619)	Data 0.001 (0.010)	Loss 2.5416 (2.5439)	Prec@1 42.000 (37.915)	Prec@5 66.500 (68.834)
Epoch: [22][250/9018]	Time 0.635 (0.618)	Data 0.001 (0.009)	Loss 2.9010 (2.5437)	Prec@1 33.500 (37.944)	Prec@5 62.000 (68.789)
Epoch: [22][260/9018]	Time 0.603 (0.618)	Data 0.001 (0.009)	Loss 2.3113 (2.5413)	Prec@1 41.000 (37.969)	Prec@5 75.500 (68.845)
Epoch: [22][270/9018]	Time 0.602 (0.617)	Data 0.001 (0.009)	Loss 2.5144 (2.5421)	Prec@1 36.000 (37.974)	Prec@5 74.000 (68.863)
Epoch: [22][280/9018]	Time 0.597 (0.618)	Data 0.001 (0.009)	Loss 2.4373 (2.5441)	Prec@1 36.500 (37.938)	Prec@5 72.500 (68.843)
Epoch: [22][290/9018]	Time 0.705 (0.617)	Data 0.001 (0.008)	Loss 2.6382 (2.5445)	Prec@1 36.000 (37.948)	Prec@5 71.500 (68.844)
Epoch: [22][300/9018]	Time 0.621 (0.617)	Data 0.001 (0.008)	Loss 2.5578 (2.5464)	Prec@1 39.500 (37.947)	Prec@5 68.000 (68.806)
Epoch: [22][310/9018]	Time 0.615 (0.617)	Data 0.001 (0.008)	Loss 2.3809 (2.5446)	Prec@1 37.000 (37.974)	Prec@5 75.000 (68.863)
Epoch: [22][320/9018]	Time 0.597 (0.616)	Data 0.001 (0.008)	Loss 2.4486 (2.5444)	Prec@1 42.000 (37.961)	Prec@5 69.500 (68.861)
Epoch: [22][330/9018]	Time 0.598 (0.616)	Data 0.001 (0.007)	Loss 2.7912 (2.5445)	Prec@1 37.000 (37.965)	Prec@5 61.000 (68.816)
Epoch: [22][340/9018]	Time 0.601 (0.616)	Data 0.001 (0.007)	Loss 2.6608 (2.5453)	Prec@1 38.000 (37.987)	Prec@5 68.000 (68.798)
Epoch: [22][350/9018]	Time 0.599 (0.616)	Data 0.001 (0.007)	Loss 2.5655 (2.5451)	Prec@1 33.500 (37.950)	Prec@5 69.500 (68.825)
Epoch: [22][360/9018]	Time 0.632 (0.616)	Data 0.001 (0.007)	Loss 2.5002 (2.5432)	Prec@1 37.000 (37.988)	Prec@5 69.000 (68.857)
Epoch: [22][370/9018]	Time 0.597 (0.616)	Data 0.001 (0.007)	Loss 2.4334 (2.5433)	Prec@1 39.500 (37.978)	Prec@5 70.000 (68.856)
Epoch: [22][380/9018]	Time 0.595 (0.616)	Data 0.001 (0.006)	Loss 2.6395 (2.5442)	Prec@1 34.000 (37.954)	Prec@5 68.500 (68.837)
Epoch: [22][390/9018]	Time 0.589 (0.615)	Data 0.001 (0.006)	Loss 2.5588 (2.5431)	Prec@1 38.000 (37.985)	Prec@5 69.000 (68.858)
Epoch: [22][400/9018]	Time 0.628 (0.615)	Data 0.001 (0.006)	Loss 2.3777 (2.5398)	Prec@1 38.500 (38.002)	Prec@5 74.500 (68.925)
Epoch: [22][410/9018]	Time 0.598 (0.615)	Data 0.001 (0.006)	Loss 2.6063 (2.5383)	Prec@1 36.500 (38.026)	Prec@5 68.500 (68.946)
Epoch: [22][420/9018]	Time 0.595 (0.615)	Data 0.001 (0.006)	Loss 2.5476 (2.5390)	Prec@1 39.500 (38.006)	Prec@5 64.000 (68.918)
Epoch: [22][430/9018]	Time 0.602 (0.615)	Data 0.001 (0.006)	Loss 2.5688 (2.5382)	Prec@1 40.500 (38.039)	Prec@5 72.500 (68.923)
Epoch: [22][440/9018]	Time 0.593 (0.615)	Data 0.001 (0.006)	Loss 2.5967 (2.5379)	Prec@1 37.000 (38.041)	Prec@5 68.000 (68.910)
Epoch: [22][450/9018]	Time 0.625 (0.615)	Data 0.001 (0.006)	Loss 2.7010 (2.5386)	Prec@1 36.500 (38.019)	Prec@5 65.500 (68.890)
Epoch: [22][460/9018]	Time 0.603 (0.615)	Data 0.001 (0.005)	Loss 2.5558 (2.5371)	Prec@1 37.000 (38.042)	Prec@5 69.500 (68.939)
Epoch: [22][470/9018]	Time 0.602 (0.615)	Data 0.001 (0.005)	Loss 2.4731 (2.5375)	Prec@1 36.500 (38.004)	Prec@5 69.500 (68.928)
Epoch: [22][480/9018]	Time 0.614 (0.615)	Data 0.001 (0.005)	Loss 2.5753 (2.5376)	Prec@1 35.000 (38.001)	Prec@5 66.000 (68.897)
Epoch: [22][490/9018]	Time 0.598 (0.614)	Data 0.001 (0.005)	Loss 2.4636 (2.5373)	Prec@1 40.500 (38.033)	Prec@5 70.500 (68.926)
Epoch: [22][500/9018]	Time 0.596 (0.614)	Data 0.001 (0.005)	Loss 2.4470 (2.5376)	Prec@1 39.000 (38.028)	Prec@5 71.500 (68.906)
Epoch: [22][510/9018]	Time 0.603 (0.614)	Data 0.001 (0.005)	Loss 2.4363 (2.5385)	Prec@1 46.000 (38.001)	Prec@5 70.000 (68.894)
Epoch: [22][520/9018]	Time 0.601 (0.614)	Data 0.001 (0.005)	Loss 2.5119 (2.5388)	Prec@1 34.500 (38.018)	Prec@5 67.500 (68.883)
Epoch: [22][530/9018]	Time 0.598 (0.614)	Data 0.001 (0.005)	Loss 2.5372 (2.5387)	Prec@1 38.500 (38.041)	Prec@5 69.000 (68.886)
Epoch: [22][540/9018]	Time 0.602 (0.614)	Data 0.001 (0.005)	Loss 2.5249 (2.5391)	Prec@1 41.500 (38.059)	Prec@5 65.500 (68.874)
Epoch: [22][550/9018]	Time 0.594 (0.614)	Data 0.001 (0.005)	Loss 2.5189 (2.5393)	Prec@1 37.500 (38.045)	Prec@5 65.000 (68.865)
Epoch: [22][560/9018]	Time 0.599 (0.614)	Data 0.001 (0.005)	Loss 2.6010 (2.5383)	Prec@1 35.500 (38.063)	Prec@5 67.000 (68.870)
Epoch: [22][570/9018]	Time 0.737 (0.614)	Data 0.001 (0.005)	Loss 2.5324 (2.5377)	Prec@1 36.000 (38.039)	Prec@5 67.500 (68.877)
Epoch: [22][580/9018]	Time 0.598 (0.614)	Data 0.001 (0.005)	Loss 2.6426 (2.5378)	Prec@1 37.000 (38.040)	Prec@5 65.500 (68.846)
Epoch: [22][590/9018]	Time 0.601 (0.614)	Data 0.001 (0.004)	Loss 2.3534 (2.5373)	Prec@1 43.000 (38.058)	Prec@5 72.500 (68.863)
Epoch: [22][600/9018]	Time 0.599 (0.614)	Data 0.001 (0.004)	Loss 2.4970 (2.5382)	Prec@1 39.000 (38.038)	Prec@5 67.500 (68.829)
Epoch: [22][610/9018]	Time 0.598 (0.614)	Data 0.001 (0.004)	Loss 2.4241 (2.5385)	Prec@1 43.000 (38.021)	Prec@5 74.000 (68.822)
Epoch: [22][620/9018]	Time 0.721 (0.614)	Data 0.001 (0.004)	Loss 2.3678 (2.5385)	Prec@1 41.000 (38.031)	Prec@5 70.500 (68.831)
Epoch: [22][630/9018]	Time 0.630 (0.614)	Data 0.001 (0.004)	Loss 2.4874 (2.5377)	Prec@1 40.500 (38.036)	Prec@5 68.500 (68.855)
Epoch: [22][640/9018]	Time 0.627 (0.614)	Data 0.001 (0.004)	Loss 2.4925 (2.5380)	Prec@1 37.000 (38.016)	Prec@5 72.000 (68.845)
Epoch: [22][650/9018]	Time 0.598 (0.613)	Data 0.001 (0.004)	Loss 2.4916 (2.5382)	Prec@1 42.500 (38.012)	Prec@5 69.500 (68.831)
Epoch: [22][660/9018]	Time 0.600 (0.613)	Data 0.001 (0.004)	Loss 2.3409 (2.5366)	Prec@1 39.500 (38.057)	Prec@5 73.000 (68.861)
Epoch: [22][670/9018]	Time 0.597 (0.613)	Data 0.001 (0.004)	Loss 2.4607 (2.5367)	Prec@1 42.000 (38.077)	Prec@5 67.000 (68.844)
Epoch: [22][680/9018]	Time 0.602 (0.613)	Data 0.001 (0.004)	Loss 2.8770 (2.5376)	Prec@1 30.000 (38.042)	Prec@5 65.000 (68.824)
Epoch: [22][690/9018]	Time 0.601 (0.613)	Data 0.001 (0.004)	Loss 2.7410 (2.5381)	Prec@1 38.500 (38.051)	Prec@5 65.000 (68.800)
Epoch: [22][700/9018]	Time 0.602 (0.613)	Data 0.001 (0.004)	Loss 2.5728 (2.5384)	Prec@1 34.500 (38.037)	Prec@5 67.000 (68.784)
Epoch: [22][710/9018]	Time 0.598 (0.613)	Data 0.001 (0.004)	Loss 2.5390 (2.5395)	Prec@1 37.000 (38.005)	Prec@5 68.500 (68.768)
Epoch: [22][720/9018]	Time 0.605 (0.613)	Data 0.001 (0.004)	Loss 2.4606 (2.5394)	Prec@1 37.000 (38.012)	Prec@5 70.000 (68.766)
Epoch: [22][730/9018]	Time 0.603 (0.613)	Data 0.001 (0.004)	Loss 2.3538 (2.5393)	Prec@1 40.500 (37.991)	Prec@5 75.000 (68.786)
Epoch: [22][740/9018]	Time 0.624 (0.613)	Data 0.001 (0.004)	Loss 2.7153 (2.5389)	Prec@1 34.000 (38.016)	Prec@5 65.000 (68.794)
Epoch: [22][750/9018]	Time 0.599 (0.613)	Data 0.001 (0.004)	Loss 2.4255 (2.5390)	Prec@1 38.500 (38.003)	Prec@5 74.500 (68.812)
Epoch: [22][760/9018]	Time 0.595 (0.613)	Data 0.001 (0.004)	Loss 2.3960 (2.5382)	Prec@1 40.000 (38.004)	Prec@5 71.500 (68.828)
Epoch: [22][770/9018]	Time 0.591 (0.613)	Data 0.001 (0.004)	Loss 2.5673 (2.5377)	Prec@1 39.500 (38.005)	Prec@5 67.500 (68.841)
Epoch: [22][780/9018]	Time 0.601 (0.613)	Data 0.001 (0.004)	Loss 2.5543 (2.5366)	Prec@1 37.500 (38.033)	Prec@5 69.500 (68.860)
Epoch: [22][790/9018]	Time 0.593 (0.613)	Data 0.001 (0.004)	Loss 2.4631 (2.5370)	Prec@1 40.000 (38.028)	Prec@5 68.000 (68.854)
Epoch: [22][800/9018]	Time 0.612 (0.613)	Data 0.001 (0.003)	Loss 2.4534 (2.5378)	Prec@1 42.500 (38.016)	Prec@5 66.500 (68.831)
Epoch: [22][810/9018]	Time 0.611 (0.613)	Data 0.001 (0.003)	Loss 2.5213 (2.5378)	Prec@1 38.000 (38.015)	Prec@5 67.500 (68.826)
Epoch: [22][820/9018]	Time 0.595 (0.613)	Data 0.001 (0.003)	Loss 2.5988 (2.5385)	Prec@1 40.500 (37.994)	Prec@5 66.000 (68.808)
Epoch: [22][830/9018]	Time 0.614 (0.613)	Data 0.001 (0.003)	Loss 2.5684 (2.5389)	Prec@1 39.000 (37.993)	Prec@5 67.500 (68.792)
Epoch: [22][840/9018]	Time 0.603 (0.613)	Data 0.001 (0.003)	Loss 2.3090 (2.5389)	Prec@1 48.000 (37.989)	Prec@5 72.500 (68.787)
Epoch: [22][850/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.8190 (2.5392)	Prec@1 31.500 (37.982)	Prec@5 64.500 (68.777)
Epoch: [22][860/9018]	Time 0.599 (0.613)	Data 0.001 (0.003)	Loss 2.4760 (2.5395)	Prec@1 39.000 (37.980)	Prec@5 70.000 (68.775)
Epoch: [22][870/9018]	Time 0.601 (0.613)	Data 0.001 (0.003)	Loss 2.3801 (2.5395)	Prec@1 42.500 (37.973)	Prec@5 71.000 (68.781)
Epoch: [22][880/9018]	Time 0.606 (0.612)	Data 0.001 (0.003)	Loss 2.6677 (2.5399)	Prec@1 34.000 (37.957)	Prec@5 65.500 (68.769)
Epoch: [22][890/9018]	Time 0.631 (0.612)	Data 0.001 (0.003)	Loss 2.4920 (2.5397)	Prec@1 40.500 (37.954)	Prec@5 65.500 (68.762)
Epoch: [22][900/9018]	Time 0.725 (0.612)	Data 0.001 (0.003)	Loss 2.5896 (2.5398)	Prec@1 40.000 (37.955)	Prec@5 65.500 (68.757)
Epoch: [22][910/9018]	Time 0.593 (0.612)	Data 0.001 (0.003)	Loss 2.5496 (2.5399)	Prec@1 39.500 (37.953)	Prec@5 69.000 (68.757)
Epoch: [22][920/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.8335 (2.5395)	Prec@1 32.500 (37.970)	Prec@5 63.000 (68.761)
Epoch: [22][930/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 2.4206 (2.5390)	Prec@1 39.500 (37.996)	Prec@5 71.000 (68.773)
Epoch: [22][940/9018]	Time 0.614 (0.612)	Data 0.001 (0.003)	Loss 2.7322 (2.5395)	Prec@1 32.500 (37.977)	Prec@5 63.500 (68.767)
Epoch: [22][950/9018]	Time 0.726 (0.612)	Data 0.001 (0.003)	Loss 2.4971 (2.5394)	Prec@1 41.000 (37.997)	Prec@5 71.000 (68.779)
Epoch: [22][960/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.4552 (2.5395)	Prec@1 38.500 (37.992)	Prec@5 69.500 (68.782)
Epoch: [22][970/9018]	Time 0.619 (0.612)	Data 0.001 (0.003)	Loss 2.5776 (2.5393)	Prec@1 38.000 (37.989)	Prec@5 66.000 (68.781)
Epoch: [22][980/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 2.4533 (2.5396)	Prec@1 40.000 (37.988)	Prec@5 73.000 (68.767)
Epoch: [22][990/9018]	Time 0.599 (0.612)	Data 0.003 (0.003)	Loss 2.5434 (2.5396)	Prec@1 37.500 (37.986)	Prec@5 70.500 (68.776)
Epoch: [22][1000/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.5831 (2.5397)	Prec@1 35.000 (37.972)	Prec@5 67.500 (68.774)
Epoch: [22][1010/9018]	Time 0.592 (0.612)	Data 0.001 (0.003)	Loss 2.5228 (2.5398)	Prec@1 38.000 (37.962)	Prec@5 67.000 (68.764)
Epoch: [22][1020/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.6349 (2.5402)	Prec@1 34.500 (37.946)	Prec@5 66.000 (68.753)
Epoch: [22][1030/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 2.5064 (2.5404)	Prec@1 41.000 (37.945)	Prec@5 71.500 (68.746)
Epoch: [22][1040/9018]	Time 0.608 (0.612)	Data 0.001 (0.003)	Loss 2.5434 (2.5407)	Prec@1 39.500 (37.940)	Prec@5 70.000 (68.741)
Epoch: [22][1050/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.5499 (2.5402)	Prec@1 39.000 (37.955)	Prec@5 67.000 (68.748)
Epoch: [22][1060/9018]	Time 0.593 (0.612)	Data 0.001 (0.003)	Loss 2.7107 (2.5407)	Prec@1 33.500 (37.956)	Prec@5 69.000 (68.743)
Epoch: [22][1070/9018]	Time 0.593 (0.612)	Data 0.001 (0.003)	Loss 2.7553 (2.5414)	Prec@1 32.500 (37.946)	Prec@5 68.500 (68.732)
Epoch: [22][1080/9018]	Time 0.610 (0.612)	Data 0.001 (0.003)	Loss 2.6847 (2.5426)	Prec@1 36.000 (37.932)	Prec@5 64.000 (68.707)
Epoch: [22][1090/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.5057 (2.5430)	Prec@1 39.500 (37.931)	Prec@5 68.500 (68.700)
Epoch: [22][1100/9018]	Time 0.595 (0.612)	Data 0.001 (0.003)	Loss 2.5836 (2.5429)	Prec@1 35.500 (37.939)	Prec@5 66.000 (68.703)
Epoch: [22][1110/9018]	Time 0.603 (0.612)	Data 0.001 (0.003)	Loss 2.4720 (2.5432)	Prec@1 38.000 (37.922)	Prec@5 70.500 (68.691)
Epoch: [22][1120/9018]	Time 0.593 (0.612)	Data 0.001 (0.003)	Loss 2.4407 (2.5429)	Prec@1 37.000 (37.931)	Prec@5 70.500 (68.697)
Epoch: [22][1130/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.3552 (2.5428)	Prec@1 41.500 (37.935)	Prec@5 72.000 (68.708)
Epoch: [22][1140/9018]	Time 0.617 (0.612)	Data 0.001 (0.003)	Loss 2.6640 (2.5427)	Prec@1 39.500 (37.940)	Prec@5 64.500 (68.708)
Epoch: [22][1150/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.4590 (2.5426)	Prec@1 36.000 (37.935)	Prec@5 73.500 (68.717)
Epoch: [22][1160/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 2.4707 (2.5428)	Prec@1 37.500 (37.925)	Prec@5 71.500 (68.717)
Epoch: [22][1170/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.5228 (2.5422)	Prec@1 38.000 (37.944)	Prec@5 68.000 (68.731)
Epoch: [22][1180/9018]	Time 0.606 (0.612)	Data 0.001 (0.003)	Loss 2.5003 (2.5420)	Prec@1 38.000 (37.948)	Prec@5 67.500 (68.724)
Epoch: [22][1190/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.5015 (2.5418)	Prec@1 41.500 (37.948)	Prec@5 67.500 (68.728)
Epoch: [22][1200/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.6798 (2.5420)	Prec@1 36.500 (37.951)	Prec@5 64.500 (68.729)
Epoch: [22][1210/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.6013 (2.5414)	Prec@1 37.500 (37.968)	Prec@5 66.500 (68.743)
Epoch: [22][1220/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 2.5228 (2.5410)	Prec@1 38.000 (37.970)	Prec@5 70.000 (68.751)
Epoch: [22][1230/9018]	Time 0.716 (0.612)	Data 0.001 (0.003)	Loss 2.5680 (2.5420)	Prec@1 37.000 (37.957)	Prec@5 69.500 (68.741)
Epoch: [22][1240/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.5936 (2.5415)	Prec@1 39.000 (37.965)	Prec@5 68.500 (68.754)
Epoch: [22][1250/9018]	Time 0.613 (0.612)	Data 0.001 (0.003)	Loss 2.2884 (2.5410)	Prec@1 42.500 (37.972)	Prec@5 69.500 (68.762)
Epoch: [22][1260/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.3464 (2.5412)	Prec@1 44.500 (37.974)	Prec@5 69.000 (68.752)
Epoch: [22][1270/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.5704 (2.5408)	Prec@1 35.500 (37.977)	Prec@5 70.500 (68.761)
Epoch: [22][1280/9018]	Time 0.731 (0.612)	Data 0.001 (0.003)	Loss 2.7100 (2.5410)	Prec@1 32.500 (37.962)	Prec@5 68.000 (68.756)
Epoch: [22][1290/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.4702 (2.5409)	Prec@1 44.500 (37.963)	Prec@5 70.000 (68.757)
Epoch: [22][1300/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 2.4374 (2.5407)	Prec@1 41.000 (37.959)	Prec@5 73.000 (68.752)
Epoch: [22][1310/9018]	Time 0.606 (0.612)	Data 0.001 (0.003)	Loss 2.8021 (2.5412)	Prec@1 31.000 (37.937)	Prec@5 58.500 (68.736)
Epoch: [22][1320/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.8950 (2.5410)	Prec@1 33.500 (37.942)	Prec@5 66.000 (68.747)
Epoch: [22][1330/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.7109 (2.5410)	Prec@1 34.500 (37.938)	Prec@5 64.000 (68.752)
Epoch: [22][1340/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.4809 (2.5412)	Prec@1 37.500 (37.925)	Prec@5 68.000 (68.742)
Epoch: [22][1350/9018]	Time 0.592 (0.612)	Data 0.001 (0.003)	Loss 2.5860 (2.5417)	Prec@1 36.500 (37.916)	Prec@5 66.500 (68.729)
Epoch: [22][1360/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 2.6485 (2.5417)	Prec@1 36.000 (37.916)	Prec@5 66.000 (68.734)
Epoch: [22][1370/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.5549 (2.5418)	Prec@1 39.500 (37.920)	Prec@5 66.500 (68.732)
Epoch: [22][1380/9018]	Time 0.620 (0.612)	Data 0.001 (0.003)	Loss 2.5790 (2.5417)	Prec@1 41.500 (37.921)	Prec@5 65.000 (68.731)
Epoch: [22][1390/9018]	Time 0.622 (0.612)	Data 0.001 (0.003)	Loss 2.5577 (2.5417)	Prec@1 38.000 (37.929)	Prec@5 66.000 (68.737)
Epoch: [22][1400/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.6957 (2.5419)	Prec@1 37.000 (37.929)	Prec@5 68.500 (68.735)
Epoch: [22][1410/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 2.4442 (2.5416)	Prec@1 43.000 (37.928)	Prec@5 74.000 (68.737)
Epoch: [22][1420/9018]	Time 0.591 (0.612)	Data 0.001 (0.003)	Loss 2.3350 (2.5416)	Prec@1 42.000 (37.916)	Prec@5 71.000 (68.733)
Epoch: [22][1430/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 2.5190 (2.5415)	Prec@1 37.500 (37.927)	Prec@5 69.500 (68.744)
Epoch: [22][1440/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.5799 (2.5408)	Prec@1 37.000 (37.946)	Prec@5 70.500 (68.761)
Epoch: [22][1450/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.4988 (2.5407)	Prec@1 36.500 (37.959)	Prec@5 67.000 (68.753)
Epoch: [22][1460/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.5737 (2.5408)	Prec@1 34.000 (37.952)	Prec@5 69.000 (68.755)
Epoch: [22][1470/9018]	Time 0.604 (0.612)	Data 0.001 (0.003)	Loss 2.6603 (2.5407)	Prec@1 36.000 (37.959)	Prec@5 66.000 (68.764)
Epoch: [22][1480/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 2.4538 (2.5407)	Prec@1 40.000 (37.960)	Prec@5 70.000 (68.756)
Epoch: [22][1490/9018]	Time 0.607 (0.612)	Data 0.001 (0.003)	Loss 2.6473 (2.5412)	Prec@1 37.000 (37.956)	Prec@5 67.000 (68.745)
Epoch: [22][1500/9018]	Time 0.605 (0.612)	Data 0.001 (0.003)	Loss 2.8066 (2.5411)	Prec@1 34.500 (37.967)	Prec@5 61.500 (68.748)
Epoch: [22][1510/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 2.4836 (2.5410)	Prec@1 33.000 (37.960)	Prec@5 75.000 (68.749)
Epoch: [22][1520/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.7286 (2.5412)	Prec@1 35.000 (37.960)	Prec@5 65.500 (68.743)
Epoch: [22][1530/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.6990 (2.5412)	Prec@1 29.000 (37.958)	Prec@5 66.500 (68.739)
Epoch: [22][1540/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 2.6208 (2.5415)	Prec@1 39.500 (37.949)	Prec@5 66.500 (68.733)
Epoch: [22][1550/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.4447 (2.5417)	Prec@1 37.500 (37.949)	Prec@5 74.500 (68.731)
Epoch: [22][1560/9018]	Time 0.732 (0.612)	Data 0.001 (0.003)	Loss 2.4101 (2.5416)	Prec@1 37.000 (37.939)	Prec@5 73.500 (68.738)
Epoch: [22][1570/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 2.6559 (2.5418)	Prec@1 39.000 (37.943)	Prec@5 67.000 (68.730)
Epoch: [22][1580/9018]	Time 0.625 (0.612)	Data 0.001 (0.003)	Loss 2.5576 (2.5419)	Prec@1 40.000 (37.940)	Prec@5 69.000 (68.725)
Epoch: [22][1590/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 2.7004 (2.5420)	Prec@1 32.500 (37.942)	Prec@5 64.000 (68.717)
Epoch: [22][1600/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.5274 (2.5420)	Prec@1 38.500 (37.938)	Prec@5 70.500 (68.722)
Epoch: [22][1610/9018]	Time 0.718 (0.612)	Data 0.001 (0.003)	Loss 2.6133 (2.5423)	Prec@1 41.000 (37.935)	Prec@5 69.500 (68.718)
Epoch: [22][1620/9018]	Time 0.592 (0.612)	Data 0.001 (0.003)	Loss 2.5204 (2.5424)	Prec@1 37.000 (37.931)	Prec@5 67.500 (68.717)
Epoch: [22][1630/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.4454 (2.5426)	Prec@1 37.000 (37.925)	Prec@5 71.500 (68.711)
Epoch: [22][1640/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.6420 (2.5429)	Prec@1 38.000 (37.917)	Prec@5 65.500 (68.702)
Epoch: [22][1650/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.5022 (2.5427)	Prec@1 37.000 (37.922)	Prec@5 70.500 (68.708)
Epoch: [22][1660/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 2.4954 (2.5425)	Prec@1 44.500 (37.925)	Prec@5 69.000 (68.711)
Epoch: [22][1670/9018]	Time 0.606 (0.612)	Data 0.001 (0.003)	Loss 2.6642 (2.5428)	Prec@1 38.000 (37.927)	Prec@5 69.500 (68.707)
Epoch: [22][1680/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 2.3955 (2.5433)	Prec@1 43.000 (37.924)	Prec@5 70.000 (68.692)
Epoch: [22][1690/9018]	Time 0.595 (0.612)	Data 0.001 (0.003)	Loss 2.5846 (2.5433)	Prec@1 32.500 (37.920)	Prec@5 69.000 (68.690)
Epoch: [22][1700/9018]	Time 0.603 (0.612)	Data 0.001 (0.003)	Loss 2.4739 (2.5431)	Prec@1 37.000 (37.921)	Prec@5 69.500 (68.693)
Epoch: [22][1710/9018]	Time 0.605 (0.612)	Data 0.001 (0.003)	Loss 2.6475 (2.5428)	Prec@1 36.500 (37.924)	Prec@5 70.500 (68.701)
Epoch: [22][1720/9018]	Time 0.595 (0.612)	Data 0.001 (0.003)	Loss 2.5247 (2.5430)	Prec@1 39.500 (37.923)	Prec@5 69.000 (68.698)
Epoch: [22][1730/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.5706 (2.5430)	Prec@1 33.000 (37.915)	Prec@5 68.500 (68.695)
Epoch: [22][1740/9018]	Time 0.615 (0.612)	Data 0.001 (0.003)	Loss 2.3078 (2.5428)	Prec@1 45.000 (37.918)	Prec@5 72.500 (68.699)
Epoch: [22][1750/9018]	Time 0.622 (0.612)	Data 0.001 (0.003)	Loss 2.5994 (2.5430)	Prec@1 35.000 (37.921)	Prec@5 70.000 (68.697)
Epoch: [22][1760/9018]	Time 0.624 (0.612)	Data 0.001 (0.003)	Loss 2.6614 (2.5430)	Prec@1 39.500 (37.923)	Prec@5 69.500 (68.699)
Epoch: [22][1770/9018]	Time 0.591 (0.612)	Data 0.001 (0.003)	Loss 2.3491 (2.5429)	Prec@1 38.000 (37.916)	Prec@5 70.000 (68.705)
Epoch: [22][1780/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 2.7174 (2.5431)	Prec@1 32.000 (37.918)	Prec@5 66.000 (68.696)
Epoch: [22][1790/9018]	Time 0.593 (0.611)	Data 0.001 (0.003)	Loss 2.8299 (2.5434)	Prec@1 33.500 (37.913)	Prec@5 63.000 (68.686)
Epoch: [22][1800/9018]	Time 0.603 (0.611)	Data 0.001 (0.003)	Loss 2.7877 (2.5435)	Prec@1 31.000 (37.908)	Prec@5 64.000 (68.682)
Epoch: [22][1810/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 2.7868 (2.5429)	Prec@1 35.000 (37.919)	Prec@5 67.500 (68.700)
Epoch: [22][1820/9018]	Time 0.602 (0.611)	Data 0.001 (0.003)	Loss 2.6038 (2.5433)	Prec@1 36.500 (37.916)	Prec@5 71.500 (68.693)
Epoch: [22][1830/9018]	Time 0.603 (0.611)	Data 0.001 (0.003)	Loss 2.6257 (2.5433)	Prec@1 34.000 (37.916)	Prec@5 69.500 (68.696)
Epoch: [22][1840/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.4477 (2.5431)	Prec@1 38.000 (37.922)	Prec@5 72.000 (68.703)
Epoch: [22][1850/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.5002 (2.5426)	Prec@1 37.000 (37.919)	Prec@5 68.500 (68.712)
Epoch: [22][1860/9018]	Time 0.591 (0.611)	Data 0.001 (0.002)	Loss 2.7634 (2.5429)	Prec@1 31.000 (37.909)	Prec@5 59.500 (68.702)
Epoch: [22][1870/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.5697 (2.5424)	Prec@1 39.000 (37.918)	Prec@5 69.500 (68.709)
Epoch: [22][1880/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.6061 (2.5425)	Prec@1 40.000 (37.915)	Prec@5 65.500 (68.704)
Epoch: [22][1890/9018]	Time 0.726 (0.611)	Data 0.001 (0.002)	Loss 2.5168 (2.5428)	Prec@1 38.500 (37.909)	Prec@5 65.500 (68.698)
Epoch: [22][1900/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.8218 (2.5430)	Prec@1 33.500 (37.910)	Prec@5 66.000 (68.698)
Epoch: [22][1910/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.5826 (2.5430)	Prec@1 39.500 (37.915)	Prec@5 65.500 (68.699)
Epoch: [22][1920/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.4533 (2.5427)	Prec@1 41.500 (37.921)	Prec@5 71.000 (68.712)
Epoch: [22][1930/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 2.3289 (2.5425)	Prec@1 39.500 (37.922)	Prec@5 75.500 (68.717)
Epoch: [22][1940/9018]	Time 0.721 (0.611)	Data 0.001 (0.002)	Loss 2.5237 (2.5426)	Prec@1 38.500 (37.921)	Prec@5 73.500 (68.716)
Epoch: [22][1950/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5680 (2.5427)	Prec@1 39.000 (37.923)	Prec@5 67.500 (68.715)
Epoch: [22][1960/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.4906 (2.5428)	Prec@1 38.500 (37.918)	Prec@5 67.500 (68.710)
Epoch: [22][1970/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.3695 (2.5429)	Prec@1 43.500 (37.918)	Prec@5 72.500 (68.706)
Epoch: [22][1980/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.5063 (2.5429)	Prec@1 38.000 (37.913)	Prec@5 70.500 (68.712)
Epoch: [22][1990/9018]	Time 0.621 (0.611)	Data 0.001 (0.002)	Loss 2.4711 (2.5431)	Prec@1 39.000 (37.906)	Prec@5 70.500 (68.703)
Epoch: [22][2000/9018]	Time 0.612 (0.611)	Data 0.001 (0.002)	Loss 2.3775 (2.5428)	Prec@1 37.500 (37.911)	Prec@5 73.500 (68.711)
Epoch: [22][2010/9018]	Time 0.625 (0.611)	Data 0.001 (0.002)	Loss 2.6347 (2.5427)	Prec@1 38.500 (37.916)	Prec@5 67.000 (68.715)
Epoch: [22][2020/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.4821 (2.5431)	Prec@1 36.500 (37.909)	Prec@5 68.500 (68.708)
Epoch: [22][2030/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.3774 (2.5432)	Prec@1 41.000 (37.910)	Prec@5 71.000 (68.701)
Epoch: [22][2040/9018]	Time 0.616 (0.611)	Data 0.001 (0.002)	Loss 2.3921 (2.5433)	Prec@1 41.500 (37.907)	Prec@5 72.000 (68.695)
Epoch: [22][2050/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.6927 (2.5433)	Prec@1 39.000 (37.902)	Prec@5 64.000 (68.701)
Epoch: [22][2060/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.8741 (2.5436)	Prec@1 30.500 (37.897)	Prec@5 63.000 (68.691)
Epoch: [22][2070/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.8626 (2.5437)	Prec@1 32.500 (37.893)	Prec@5 65.000 (68.695)
Epoch: [22][2080/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.5072 (2.5436)	Prec@1 37.000 (37.896)	Prec@5 71.500 (68.698)
Epoch: [22][2090/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.2468 (2.5434)	Prec@1 43.000 (37.898)	Prec@5 77.000 (68.695)
Epoch: [22][2100/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.5050 (2.5433)	Prec@1 33.500 (37.894)	Prec@5 70.500 (68.695)
Epoch: [22][2110/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.5615 (2.5433)	Prec@1 39.500 (37.896)	Prec@5 68.000 (68.697)
Epoch: [22][2120/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.6059 (2.5433)	Prec@1 35.500 (37.898)	Prec@5 66.500 (68.700)
Epoch: [22][2130/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.7319 (2.5431)	Prec@1 31.500 (37.903)	Prec@5 67.500 (68.706)
Epoch: [22][2140/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 2.6821 (2.5433)	Prec@1 33.000 (37.902)	Prec@5 66.000 (68.697)
Epoch: [22][2150/9018]	Time 0.612 (0.611)	Data 0.001 (0.002)	Loss 2.3035 (2.5431)	Prec@1 43.000 (37.908)	Prec@5 72.000 (68.695)
Epoch: [22][2160/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.3347 (2.5431)	Prec@1 42.000 (37.911)	Prec@5 76.500 (68.698)
Epoch: [22][2170/9018]	Time 0.620 (0.611)	Data 0.001 (0.002)	Loss 2.6671 (2.5430)	Prec@1 36.000 (37.911)	Prec@5 66.500 (68.700)
Epoch: [22][2180/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.4509 (2.5432)	Prec@1 38.500 (37.912)	Prec@5 74.500 (68.701)
Epoch: [22][2190/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.6248 (2.5435)	Prec@1 38.000 (37.908)	Prec@5 69.000 (68.694)
Epoch: [22][2200/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.5678 (2.5435)	Prec@1 40.000 (37.905)	Prec@5 68.500 (68.693)
Epoch: [22][2210/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 2.5489 (2.5437)	Prec@1 38.500 (37.901)	Prec@5 68.500 (68.692)
Epoch: [22][2220/9018]	Time 0.687 (0.611)	Data 0.001 (0.002)	Loss 2.5645 (2.5439)	Prec@1 38.500 (37.905)	Prec@5 70.500 (68.687)
Epoch: [22][2230/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.6065 (2.5442)	Prec@1 35.500 (37.894)	Prec@5 68.500 (68.684)
Epoch: [22][2240/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.5767 (2.5441)	Prec@1 38.500 (37.895)	Prec@5 68.000 (68.685)
Epoch: [22][2250/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.5591 (2.5445)	Prec@1 36.000 (37.885)	Prec@5 67.500 (68.673)
Epoch: [22][2260/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.6287 (2.5448)	Prec@1 36.500 (37.882)	Prec@5 65.000 (68.665)
Epoch: [22][2270/9018]	Time 0.717 (0.611)	Data 0.001 (0.002)	Loss 2.5828 (2.5446)	Prec@1 35.000 (37.881)	Prec@5 69.500 (68.669)
Epoch: [22][2280/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.3237 (2.5445)	Prec@1 45.000 (37.882)	Prec@5 76.000 (68.669)
Epoch: [22][2290/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.4511 (2.5443)	Prec@1 39.500 (37.883)	Prec@5 71.000 (68.676)
Epoch: [22][2300/9018]	Time 0.631 (0.611)	Data 0.001 (0.002)	Loss 2.1859 (2.5440)	Prec@1 50.000 (37.890)	Prec@5 76.500 (68.677)
Epoch: [22][2310/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.6046 (2.5441)	Prec@1 41.500 (37.890)	Prec@5 66.000 (68.676)
Epoch: [22][2320/9018]	Time 0.600 (0.611)	Data 0.003 (0.002)	Loss 2.5579 (2.5440)	Prec@1 39.000 (37.891)	Prec@5 69.000 (68.678)
Epoch: [22][2330/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.4315 (2.5440)	Prec@1 41.000 (37.890)	Prec@5 72.500 (68.678)
Epoch: [22][2340/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.5270 (2.5444)	Prec@1 39.000 (37.885)	Prec@5 71.500 (68.669)
Epoch: [22][2350/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.4794 (2.5446)	Prec@1 40.500 (37.883)	Prec@5 71.000 (68.665)
Epoch: [22][2360/9018]	Time 0.591 (0.611)	Data 0.001 (0.002)	Loss 2.7873 (2.5450)	Prec@1 32.000 (37.878)	Prec@5 64.500 (68.658)
Epoch: [22][2370/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.4429 (2.5450)	Prec@1 39.000 (37.881)	Prec@5 73.500 (68.657)
Epoch: [22][2380/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.4891 (2.5451)	Prec@1 37.500 (37.875)	Prec@5 71.500 (68.653)
Epoch: [22][2390/9018]	Time 0.617 (0.611)	Data 0.001 (0.002)	Loss 2.4074 (2.5452)	Prec@1 41.500 (37.880)	Prec@5 69.500 (68.650)
Epoch: [22][2400/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.5460 (2.5451)	Prec@1 37.500 (37.879)	Prec@5 68.000 (68.653)
Epoch: [22][2410/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.3779 (2.5453)	Prec@1 40.500 (37.876)	Prec@5 69.000 (68.646)
Epoch: [22][2420/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.3432 (2.5452)	Prec@1 44.000 (37.880)	Prec@5 72.500 (68.643)
Epoch: [22][2430/9018]	Time 0.633 (0.611)	Data 0.001 (0.002)	Loss 2.3449 (2.5452)	Prec@1 41.500 (37.882)	Prec@5 73.000 (68.639)
Epoch: [22][2440/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5294 (2.5452)	Prec@1 36.000 (37.880)	Prec@5 68.500 (68.633)
Epoch: [22][2450/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.5730 (2.5454)	Prec@1 38.500 (37.879)	Prec@5 69.500 (68.627)
Epoch: [22][2460/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.5787 (2.5456)	Prec@1 39.500 (37.879)	Prec@5 67.000 (68.623)
Epoch: [22][2470/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.8251 (2.5458)	Prec@1 34.500 (37.877)	Prec@5 64.500 (68.619)
Epoch: [22][2480/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.4555 (2.5460)	Prec@1 42.500 (37.876)	Prec@5 68.500 (68.615)
Epoch: [22][2490/9018]	Time 0.616 (0.611)	Data 0.001 (0.002)	Loss 2.8032 (2.5459)	Prec@1 33.000 (37.882)	Prec@5 70.500 (68.618)
Epoch: [22][2500/9018]	Time 0.613 (0.611)	Data 0.001 (0.002)	Loss 2.7350 (2.5459)	Prec@1 34.000 (37.882)	Prec@5 67.000 (68.616)
Epoch: [22][2510/9018]	Time 0.614 (0.611)	Data 0.001 (0.002)	Loss 2.5658 (2.5460)	Prec@1 37.500 (37.885)	Prec@5 69.000 (68.612)
Epoch: [22][2520/9018]	Time 0.614 (0.611)	Data 0.001 (0.002)	Loss 2.5238 (2.5462)	Prec@1 36.500 (37.878)	Prec@5 68.500 (68.606)
Epoch: [22][2530/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.6493 (2.5462)	Prec@1 36.000 (37.876)	Prec@5 63.000 (68.606)
Epoch: [22][2540/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.6366 (2.5465)	Prec@1 32.500 (37.867)	Prec@5 71.500 (68.605)
Epoch: [22][2550/9018]	Time 0.724 (0.611)	Data 0.001 (0.002)	Loss 2.5406 (2.5467)	Prec@1 37.000 (37.863)	Prec@5 67.000 (68.600)
Epoch: [22][2560/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.4648 (2.5470)	Prec@1 39.000 (37.858)	Prec@5 68.500 (68.594)
Epoch: [22][2570/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.5497 (2.5470)	Prec@1 37.500 (37.860)	Prec@5 67.000 (68.592)
Epoch: [22][2580/9018]	Time 0.627 (0.611)	Data 0.001 (0.002)	Loss 2.6092 (2.5471)	Prec@1 35.500 (37.860)	Prec@5 65.000 (68.591)
Epoch: [22][2590/9018]	Time 0.632 (0.611)	Data 0.001 (0.002)	Loss 2.4749 (2.5469)	Prec@1 36.000 (37.864)	Prec@5 73.500 (68.597)
Epoch: [22][2600/9018]	Time 0.725 (0.611)	Data 0.001 (0.002)	Loss 2.5530 (2.5470)	Prec@1 39.500 (37.867)	Prec@5 71.000 (68.593)
Epoch: [22][2610/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 2.6175 (2.5468)	Prec@1 36.000 (37.872)	Prec@5 66.500 (68.596)
Epoch: [22][2620/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.4326 (2.5468)	Prec@1 44.500 (37.870)	Prec@5 69.500 (68.599)
Epoch: [22][2630/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.6230 (2.5470)	Prec@1 35.000 (37.861)	Prec@5 68.000 (68.600)
Epoch: [22][2640/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.3153 (2.5471)	Prec@1 42.500 (37.858)	Prec@5 72.000 (68.604)
Epoch: [22][2650/9018]	Time 0.618 (0.611)	Data 0.001 (0.002)	Loss 2.5747 (2.5472)	Prec@1 40.000 (37.851)	Prec@5 67.000 (68.602)
Epoch: [22][2660/9018]	Time 0.590 (0.611)	Data 0.001 (0.002)	Loss 2.4606 (2.5473)	Prec@1 38.000 (37.846)	Prec@5 72.500 (68.599)
Epoch: [22][2670/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 2.5242 (2.5465)	Prec@1 37.000 (37.857)	Prec@5 67.000 (68.615)
Epoch: [22][2680/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.5698 (2.5464)	Prec@1 36.000 (37.859)	Prec@5 66.000 (68.614)
Epoch: [22][2690/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.5657 (2.5462)	Prec@1 35.500 (37.859)	Prec@5 71.000 (68.620)
Epoch: [22][2700/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.5103 (2.5460)	Prec@1 37.000 (37.860)	Prec@5 69.000 (68.623)
Epoch: [22][2710/9018]	Time 0.631 (0.611)	Data 0.001 (0.002)	Loss 2.3601 (2.5459)	Prec@1 39.500 (37.859)	Prec@5 76.500 (68.624)
Epoch: [22][2720/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.6352 (2.5459)	Prec@1 37.500 (37.857)	Prec@5 66.500 (68.625)
Epoch: [22][2730/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 2.7866 (2.5461)	Prec@1 32.000 (37.858)	Prec@5 63.500 (68.624)
Epoch: [22][2740/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.8105 (2.5462)	Prec@1 32.000 (37.855)	Prec@5 63.000 (68.621)
Epoch: [22][2750/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.4781 (2.5461)	Prec@1 36.500 (37.858)	Prec@5 74.500 (68.625)
Epoch: [22][2760/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.5967 (2.5461)	Prec@1 35.500 (37.859)	Prec@5 72.000 (68.629)
Epoch: [22][2770/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.8178 (2.5465)	Prec@1 33.000 (37.854)	Prec@5 65.000 (68.622)
Epoch: [22][2780/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.4331 (2.5462)	Prec@1 39.500 (37.867)	Prec@5 68.500 (68.630)
Epoch: [22][2790/9018]	Time 0.618 (0.611)	Data 0.001 (0.002)	Loss 2.6803 (2.5463)	Prec@1 35.000 (37.866)	Prec@5 65.500 (68.628)
Epoch: [22][2800/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.7111 (2.5464)	Prec@1 36.500 (37.860)	Prec@5 66.500 (68.625)
Epoch: [22][2810/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.4815 (2.5463)	Prec@1 39.000 (37.858)	Prec@5 69.000 (68.628)
Epoch: [22][2820/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.5700 (2.5463)	Prec@1 38.000 (37.857)	Prec@5 65.000 (68.630)
Epoch: [22][2830/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.8254 (2.5463)	Prec@1 33.500 (37.853)	Prec@5 61.500 (68.626)
Epoch: [22][2840/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.7058 (2.5467)	Prec@1 34.000 (37.845)	Prec@5 68.500 (68.625)
Epoch: [22][2850/9018]	Time 0.601 (0.611)	Data 0.003 (0.002)	Loss 2.6371 (2.5468)	Prec@1 40.000 (37.847)	Prec@5 65.000 (68.624)
Epoch: [22][2860/9018]	Time 0.616 (0.611)	Data 0.001 (0.002)	Loss 2.4305 (2.5468)	Prec@1 39.500 (37.844)	Prec@5 77.500 (68.629)
Epoch: [22][2870/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.7341 (2.5467)	Prec@1 34.000 (37.842)	Prec@5 64.000 (68.632)
Epoch: [22][2880/9018]	Time 0.710 (0.611)	Data 0.001 (0.002)	Loss 2.5987 (2.5467)	Prec@1 36.500 (37.847)	Prec@5 68.500 (68.633)
Epoch: [22][2890/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.7147 (2.5467)	Prec@1 36.500 (37.848)	Prec@5 61.500 (68.629)
Epoch: [22][2900/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.4705 (2.5467)	Prec@1 38.000 (37.846)	Prec@5 70.500 (68.633)
Epoch: [22][2910/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.6537 (2.5468)	Prec@1 39.500 (37.841)	Prec@5 66.500 (68.627)
Epoch: [22][2920/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.6641 (2.5469)	Prec@1 35.500 (37.837)	Prec@5 65.500 (68.623)
Epoch: [22][2930/9018]	Time 0.715 (0.611)	Data 0.001 (0.002)	Loss 2.6603 (2.5469)	Prec@1 31.000 (37.839)	Prec@5 68.500 (68.622)
Epoch: [22][2940/9018]	Time 0.631 (0.611)	Data 0.001 (0.002)	Loss 2.5345 (2.5468)	Prec@1 37.000 (37.841)	Prec@5 68.500 (68.628)
Epoch: [22][2950/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.5185 (2.5466)	Prec@1 42.500 (37.842)	Prec@5 72.000 (68.634)
Epoch: [22][2960/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.4763 (2.5467)	Prec@1 39.500 (37.837)	Prec@5 67.500 (68.635)
Epoch: [22][2970/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.8053 (2.5468)	Prec@1 33.500 (37.834)	Prec@5 61.000 (68.631)
Epoch: [22][2980/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.5912 (2.5470)	Prec@1 36.500 (37.837)	Prec@5 69.500 (68.630)
Epoch: [22][2990/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.6735 (2.5470)	Prec@1 34.500 (37.834)	Prec@5 64.000 (68.630)
Epoch: [22][3000/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.6668 (2.5470)	Prec@1 34.000 (37.832)	Prec@5 66.000 (68.628)
Epoch: [22][3010/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.7182 (2.5471)	Prec@1 30.500 (37.829)	Prec@5 67.000 (68.626)
Epoch: [22][3020/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.5072 (2.5469)	Prec@1 39.000 (37.829)	Prec@5 70.500 (68.631)
Epoch: [22][3030/9018]	Time 0.631 (0.611)	Data 0.001 (0.002)	Loss 2.5126 (2.5470)	Prec@1 40.500 (37.829)	Prec@5 70.000 (68.629)
Epoch: [22][3040/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.3895 (2.5469)	Prec@1 40.500 (37.830)	Prec@5 73.000 (68.633)
Epoch: [22][3050/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.5299 (2.5469)	Prec@1 38.500 (37.828)	Prec@5 67.500 (68.635)
Epoch: [22][3060/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 2.5571 (2.5470)	Prec@1 35.000 (37.826)	Prec@5 66.500 (68.633)
Epoch: [22][3070/9018]	Time 0.591 (0.610)	Data 0.001 (0.002)	Loss 2.3756 (2.5469)	Prec@1 41.000 (37.825)	Prec@5 74.000 (68.635)
Epoch: [22][3080/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.2865 (2.5466)	Prec@1 42.000 (37.831)	Prec@5 73.500 (68.640)
Epoch: [22][3090/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.3895 (2.5466)	Prec@1 38.500 (37.828)	Prec@5 70.000 (68.638)
Epoch: [22][3100/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.7594 (2.5466)	Prec@1 30.000 (37.827)	Prec@5 63.500 (68.638)
Epoch: [22][3110/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.5833 (2.5464)	Prec@1 33.500 (37.827)	Prec@5 65.000 (68.639)
Epoch: [22][3120/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.4907 (2.5463)	Prec@1 40.500 (37.826)	Prec@5 68.500 (68.646)
Epoch: [22][3130/9018]	Time 0.614 (0.611)	Data 0.001 (0.002)	Loss 2.5942 (2.5462)	Prec@1 40.000 (37.829)	Prec@5 67.500 (68.642)
Epoch: [22][3140/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 2.5898 (2.5462)	Prec@1 33.000 (37.825)	Prec@5 69.500 (68.640)
Epoch: [22][3150/9018]	Time 0.604 (0.610)	Data 0.001 (0.002)	Loss 2.6270 (2.5462)	Prec@1 39.000 (37.823)	Prec@5 69.000 (68.643)
Epoch: [22][3160/9018]	Time 0.616 (0.610)	Data 0.001 (0.002)	Loss 2.6283 (2.5462)	Prec@1 33.500 (37.826)	Prec@5 66.500 (68.640)
Epoch: [22][3170/9018]	Time 0.623 (0.611)	Data 0.001 (0.002)	Loss 2.5261 (2.5464)	Prec@1 38.000 (37.824)	Prec@5 67.000 (68.637)
Epoch: [22][3180/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.6465 (2.5463)	Prec@1 37.500 (37.823)	Prec@5 67.500 (68.642)
Epoch: [22][3190/9018]	Time 0.590 (0.611)	Data 0.001 (0.002)	Loss 2.4811 (2.5462)	Prec@1 37.500 (37.823)	Prec@5 69.000 (68.646)
Epoch: [22][3200/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.4879 (2.5460)	Prec@1 41.000 (37.819)	Prec@5 69.500 (68.648)
Epoch: [22][3210/9018]	Time 0.739 (0.611)	Data 0.001 (0.002)	Loss 2.3604 (2.5460)	Prec@1 42.000 (37.822)	Prec@5 72.000 (68.650)
Epoch: [22][3220/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 2.4470 (2.5460)	Prec@1 43.500 (37.824)	Prec@5 74.000 (68.653)
Epoch: [22][3230/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.3975 (2.5459)	Prec@1 38.000 (37.824)	Prec@5 73.000 (68.652)
Epoch: [22][3240/9018]	Time 0.593 (0.610)	Data 0.001 (0.002)	Loss 2.5504 (2.5457)	Prec@1 38.500 (37.826)	Prec@5 71.500 (68.656)
Epoch: [22][3250/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 2.5219 (2.5457)	Prec@1 35.500 (37.823)	Prec@5 69.000 (68.658)
Epoch: [22][3260/9018]	Time 0.710 (0.611)	Data 0.001 (0.002)	Loss 2.4812 (2.5455)	Prec@1 38.000 (37.825)	Prec@5 69.000 (68.663)
Epoch: [22][3270/9018]	Time 0.614 (0.611)	Data 0.001 (0.002)	Loss 2.5659 (2.5457)	Prec@1 39.000 (37.820)	Prec@5 67.000 (68.661)
Epoch: [22][3280/9018]	Time 0.599 (0.611)	Data 0.003 (0.002)	Loss 2.4419 (2.5456)	Prec@1 40.000 (37.819)	Prec@5 69.500 (68.665)
Epoch: [22][3290/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 2.4406 (2.5455)	Prec@1 37.500 (37.820)	Prec@5 70.500 (68.664)
Epoch: [22][3300/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.6537 (2.5457)	Prec@1 35.000 (37.818)	Prec@5 69.500 (68.659)
Epoch: [22][3310/9018]	Time 0.624 (0.611)	Data 0.001 (0.002)	Loss 2.4881 (2.5456)	Prec@1 40.500 (37.818)	Prec@5 68.000 (68.659)
Epoch: [22][3320/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.8754 (2.5459)	Prec@1 33.000 (37.810)	Prec@5 63.500 (68.653)
Epoch: [22][3330/9018]	Time 0.619 (0.611)	Data 0.001 (0.002)	Loss 2.4636 (2.5462)	Prec@1 30.500 (37.802)	Prec@5 70.500 (68.650)
Epoch: [22][3340/9018]	Time 0.605 (0.610)	Data 0.001 (0.002)	Loss 2.6408 (2.5460)	Prec@1 39.000 (37.802)	Prec@5 65.000 (68.657)
Epoch: [22][3350/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.5438 (2.5460)	Prec@1 36.000 (37.805)	Prec@5 69.500 (68.658)
Epoch: [22][3360/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.5902 (2.5461)	Prec@1 36.500 (37.801)	Prec@5 69.500 (68.657)
Epoch: [22][3370/9018]	Time 0.616 (0.610)	Data 0.001 (0.002)	Loss 2.4652 (2.5461)	Prec@1 36.500 (37.802)	Prec@5 69.500 (68.659)
Epoch: [22][3380/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 2.4336 (2.5461)	Prec@1 39.000 (37.801)	Prec@5 71.500 (68.661)
Epoch: [22][3390/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 2.5716 (2.5461)	Prec@1 31.000 (37.799)	Prec@5 70.000 (68.664)
Epoch: [22][3400/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 2.5533 (2.5463)	Prec@1 38.500 (37.795)	Prec@5 67.000 (68.658)
Epoch: [22][3410/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.4871 (2.5463)	Prec@1 40.000 (37.794)	Prec@5 69.000 (68.658)
Epoch: [22][3420/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.5406 (2.5464)	Prec@1 30.000 (37.790)	Prec@5 67.000 (68.658)
Epoch: [22][3430/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 2.4166 (2.5461)	Prec@1 43.000 (37.793)	Prec@5 68.000 (68.663)
Epoch: [22][3440/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 2.4004 (2.5461)	Prec@1 36.000 (37.791)	Prec@5 70.000 (68.664)
Epoch: [22][3450/9018]	Time 0.624 (0.610)	Data 0.001 (0.002)	Loss 2.5374 (2.5462)	Prec@1 34.000 (37.789)	Prec@5 69.500 (68.661)
Epoch: [22][3460/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.8100 (2.5462)	Prec@1 35.000 (37.793)	Prec@5 61.000 (68.666)
Epoch: [22][3470/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.3055 (2.5460)	Prec@1 43.000 (37.798)	Prec@5 77.500 (68.670)
Epoch: [22][3480/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.6747 (2.5462)	Prec@1 37.000 (37.795)	Prec@5 64.000 (68.666)
Epoch: [22][3490/9018]	Time 0.605 (0.610)	Data 0.001 (0.002)	Loss 2.4941 (2.5461)	Prec@1 44.000 (37.802)	Prec@5 67.000 (68.668)
Epoch: [22][3500/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.6348 (2.5462)	Prec@1 33.500 (37.797)	Prec@5 70.000 (68.668)
Epoch: [22][3510/9018]	Time 0.610 (0.610)	Data 0.001 (0.002)	Loss 2.4970 (2.5461)	Prec@1 41.000 (37.800)	Prec@5 69.000 (68.667)
Epoch: [22][3520/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.6451 (2.5459)	Prec@1 34.500 (37.803)	Prec@5 66.000 (68.670)
Epoch: [22][3530/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.6680 (2.5458)	Prec@1 38.000 (37.808)	Prec@5 68.000 (68.674)
Epoch: [22][3540/9018]	Time 0.719 (0.610)	Data 0.001 (0.002)	Loss 2.4094 (2.5457)	Prec@1 41.000 (37.814)	Prec@5 70.500 (68.676)
Epoch: [22][3550/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 2.6208 (2.5457)	Prec@1 38.000 (37.814)	Prec@5 68.000 (68.677)
Epoch: [22][3560/9018]	Time 0.590 (0.610)	Data 0.001 (0.002)	Loss 2.5529 (2.5458)	Prec@1 37.000 (37.809)	Prec@5 68.500 (68.674)
Epoch: [22][3570/9018]	Time 0.629 (0.610)	Data 0.001 (0.002)	Loss 2.5598 (2.5458)	Prec@1 39.000 (37.807)	Prec@5 65.500 (68.674)
Epoch: [22][3580/9018]	Time 0.605 (0.610)	Data 0.001 (0.002)	Loss 2.6257 (2.5462)	Prec@1 34.000 (37.799)	Prec@5 64.500 (68.665)
Epoch: [22][3590/9018]	Time 0.718 (0.610)	Data 0.001 (0.002)	Loss 2.7426 (2.5463)	Prec@1 33.500 (37.793)	Prec@5 67.000 (68.663)
Epoch: [22][3600/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 2.8321 (2.5464)	Prec@1 31.500 (37.792)	Prec@5 63.500 (68.661)
Epoch: [22][3610/9018]	Time 0.610 (0.610)	Data 0.001 (0.002)	Loss 2.5032 (2.5462)	Prec@1 38.500 (37.795)	Prec@5 67.500 (68.661)
Epoch: [22][3620/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 2.5793 (2.5463)	Prec@1 36.500 (37.796)	Prec@5 67.000 (68.659)
Epoch: [22][3630/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.4287 (2.5462)	Prec@1 36.000 (37.799)	Prec@5 70.000 (68.660)
Epoch: [22][3640/9018]	Time 0.609 (0.610)	Data 0.001 (0.002)	Loss 2.4594 (2.5461)	Prec@1 39.500 (37.801)	Prec@5 66.500 (68.658)
Epoch: [22][3650/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 2.6211 (2.5460)	Prec@1 33.500 (37.799)	Prec@5 70.500 (68.662)
Epoch: [22][3660/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 2.5925 (2.5461)	Prec@1 38.000 (37.797)	Prec@5 67.500 (68.661)
Epoch: [22][3670/9018]	Time 0.608 (0.610)	Data 0.001 (0.002)	Loss 2.6520 (2.5463)	Prec@1 37.000 (37.792)	Prec@5 64.000 (68.658)
Epoch: [22][3680/9018]	Time 0.606 (0.610)	Data 0.001 (0.002)	Loss 2.3735 (2.5464)	Prec@1 39.500 (37.793)	Prec@5 73.000 (68.656)
Epoch: [22][3690/9018]	Time 0.613 (0.610)	Data 0.001 (0.002)	Loss 2.5474 (2.5464)	Prec@1 36.000 (37.794)	Prec@5 68.000 (68.656)
Epoch: [22][3700/9018]	Time 0.607 (0.610)	Data 0.001 (0.002)	Loss 2.5707 (2.5466)	Prec@1 37.500 (37.796)	Prec@5 68.000 (68.652)
Epoch: [22][3710/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 2.8226 (2.5465)	Prec@1 33.500 (37.799)	Prec@5 62.000 (68.654)
Epoch: [22][3720/9018]	Time 0.606 (0.610)	Data 0.001 (0.002)	Loss 2.6216 (2.5466)	Prec@1 37.000 (37.795)	Prec@5 67.500 (68.651)
Epoch: [22][3730/9018]	Time 0.604 (0.610)	Data 0.001 (0.002)	Loss 2.5883 (2.5465)	Prec@1 41.000 (37.796)	Prec@5 66.500 (68.655)
Epoch: [22][3740/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.5922 (2.5464)	Prec@1 33.000 (37.795)	Prec@5 70.500 (68.659)
Epoch: [22][3750/9018]	Time 0.607 (0.610)	Data 0.001 (0.002)	Loss 2.5984 (2.5464)	Prec@1 36.500 (37.798)	Prec@5 69.000 (68.659)
Epoch: [22][3760/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.5750 (2.5467)	Prec@1 37.000 (37.795)	Prec@5 66.500 (68.652)
Epoch: [22][3770/9018]	Time 0.607 (0.610)	Data 0.001 (0.002)	Loss 2.4300 (2.5468)	Prec@1 40.000 (37.794)	Prec@5 72.000 (68.650)
Epoch: [22][3780/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.3866 (2.5467)	Prec@1 43.000 (37.799)	Prec@5 71.000 (68.654)
Epoch: [22][3790/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.4494 (2.5467)	Prec@1 38.500 (37.798)	Prec@5 70.000 (68.654)
Epoch: [22][3800/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.5407 (2.5466)	Prec@1 39.500 (37.798)	Prec@5 66.500 (68.654)
Epoch: [22][3810/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.5904 (2.5468)	Prec@1 39.000 (37.794)	Prec@5 69.000 (68.651)
Epoch: [22][3820/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5036 (2.5469)	Prec@1 38.000 (37.794)	Prec@5 70.500 (68.652)
Epoch: [22][3830/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.4381 (2.5467)	Prec@1 40.500 (37.800)	Prec@5 71.500 (68.655)
Epoch: [22][3840/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.5381 (2.5464)	Prec@1 39.000 (37.807)	Prec@5 67.500 (68.659)
Epoch: [22][3850/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.5337 (2.5463)	Prec@1 32.000 (37.806)	Prec@5 66.000 (68.660)
Epoch: [22][3860/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.9949 (2.5465)	Prec@1 24.500 (37.799)	Prec@5 59.500 (68.655)
Epoch: [22][3870/9018]	Time 0.738 (0.611)	Data 0.001 (0.002)	Loss 2.7360 (2.5464)	Prec@1 37.000 (37.803)	Prec@5 64.000 (68.656)
Epoch: [22][3880/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.6141 (2.5465)	Prec@1 35.500 (37.800)	Prec@5 67.000 (68.651)
Epoch: [22][3890/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.6961 (2.5466)	Prec@1 35.500 (37.798)	Prec@5 64.000 (68.648)
Epoch: [22][3900/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 2.6421 (2.5466)	Prec@1 36.000 (37.801)	Prec@5 70.000 (68.648)
Epoch: [22][3910/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.5231 (2.5465)	Prec@1 37.500 (37.803)	Prec@5 64.000 (68.649)
Epoch: [22][3920/9018]	Time 0.734 (0.611)	Data 0.001 (0.002)	Loss 2.5775 (2.5465)	Prec@1 36.000 (37.804)	Prec@5 67.000 (68.652)
Epoch: [22][3930/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.5583 (2.5466)	Prec@1 42.500 (37.801)	Prec@5 67.500 (68.648)
Epoch: [22][3940/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 2.4812 (2.5463)	Prec@1 39.500 (37.807)	Prec@5 70.000 (68.653)
Epoch: [22][3950/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.8630 (2.5466)	Prec@1 30.000 (37.801)	Prec@5 63.500 (68.649)
Epoch: [22][3960/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.4815 (2.5466)	Prec@1 44.000 (37.799)	Prec@5 71.500 (68.648)
Epoch: [22][3970/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 2.6391 (2.5467)	Prec@1 36.500 (37.798)	Prec@5 67.500 (68.646)
Epoch: [22][3980/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.8595 (2.5467)	Prec@1 34.000 (37.798)	Prec@5 64.000 (68.645)
Epoch: [22][3990/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 2.4497 (2.5467)	Prec@1 40.500 (37.795)	Prec@5 75.000 (68.646)
Epoch: [22][4000/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 2.5557 (2.5468)	Prec@1 35.500 (37.795)	Prec@5 68.500 (68.646)
Epoch: [22][4010/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.4600 (2.5467)	Prec@1 38.500 (37.798)	Prec@5 69.000 (68.645)
Epoch: [22][4020/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.5254 (2.5467)	Prec@1 42.500 (37.799)	Prec@5 69.500 (68.649)
Epoch: [22][4030/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.4785 (2.5467)	Prec@1 42.000 (37.797)	Prec@5 68.500 (68.645)
Epoch: [22][4040/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.6877 (2.5467)	Prec@1 35.500 (37.797)	Prec@5 65.000 (68.643)
Epoch: [22][4050/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.6011 (2.5466)	Prec@1 38.500 (37.797)	Prec@5 68.000 (68.642)
Epoch: [22][4060/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.5067 (2.5465)	Prec@1 41.000 (37.797)	Prec@5 67.500 (68.643)
Epoch: [22][4070/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.5886 (2.5467)	Prec@1 36.500 (37.795)	Prec@5 67.000 (68.642)
Epoch: [22][4080/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.5890 (2.5466)	Prec@1 37.500 (37.793)	Prec@5 66.000 (68.642)
Epoch: [22][4090/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.8099 (2.5467)	Prec@1 33.000 (37.796)	Prec@5 69.000 (68.640)
Epoch: [22][4100/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.5132 (2.5467)	Prec@1 36.000 (37.796)	Prec@5 72.500 (68.642)
Epoch: [22][4110/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.4607 (2.5469)	Prec@1 36.000 (37.792)	Prec@5 68.500 (68.637)
Epoch: [22][4120/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.4167 (2.5469)	Prec@1 39.500 (37.790)	Prec@5 72.000 (68.635)
Epoch: [22][4130/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.6211 (2.5470)	Prec@1 36.000 (37.790)	Prec@5 64.000 (68.633)
Epoch: [22][4140/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.5139 (2.5471)	Prec@1 39.000 (37.787)	Prec@5 70.500 (68.635)
Epoch: [22][4150/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.6778 (2.5472)	Prec@1 29.000 (37.785)	Prec@5 64.500 (68.632)
Epoch: [22][4160/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.6250 (2.5471)	Prec@1 39.500 (37.785)	Prec@5 68.000 (68.630)
Epoch: [22][4170/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.5447 (2.5472)	Prec@1 37.500 (37.785)	Prec@5 71.000 (68.632)
Epoch: [22][4180/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.5793 (2.5471)	Prec@1 39.000 (37.787)	Prec@5 69.000 (68.634)
Epoch: [22][4190/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.7503 (2.5471)	Prec@1 33.500 (37.791)	Prec@5 63.500 (68.635)
Epoch: [22][4200/9018]	Time 0.719 (0.611)	Data 0.001 (0.002)	Loss 2.3694 (2.5472)	Prec@1 40.000 (37.787)	Prec@5 72.000 (68.630)
Epoch: [22][4210/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.6305 (2.5471)	Prec@1 40.000 (37.790)	Prec@5 63.000 (68.634)
Epoch: [22][4220/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.4353 (2.5470)	Prec@1 38.500 (37.791)	Prec@5 68.000 (68.631)
Epoch: [22][4230/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.3546 (2.5468)	Prec@1 43.500 (37.792)	Prec@5 71.500 (68.636)
Epoch: [22][4240/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.6813 (2.5468)	Prec@1 35.500 (37.791)	Prec@5 69.000 (68.638)
Epoch: [22][4250/9018]	Time 0.732 (0.611)	Data 0.001 (0.002)	Loss 2.5232 (2.5467)	Prec@1 38.000 (37.792)	Prec@5 69.500 (68.638)
Epoch: [22][4260/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 2.6709 (2.5467)	Prec@1 32.500 (37.790)	Prec@5 65.500 (68.639)
Epoch: [22][4270/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.5853 (2.5469)	Prec@1 34.500 (37.786)	Prec@5 68.500 (68.639)
Epoch: [22][4280/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 2.6644 (2.5469)	Prec@1 34.000 (37.787)	Prec@5 67.000 (68.640)
Epoch: [22][4290/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.5894 (2.5467)	Prec@1 36.500 (37.791)	Prec@5 64.000 (68.644)
Epoch: [22][4300/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5452 (2.5468)	Prec@1 39.000 (37.787)	Prec@5 66.000 (68.642)
Epoch: [22][4310/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.2726 (2.5466)	Prec@1 42.500 (37.789)	Prec@5 70.500 (68.647)
Epoch: [22][4320/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.6392 (2.5467)	Prec@1 34.000 (37.789)	Prec@5 65.500 (68.644)
Epoch: [22][4330/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 2.3254 (2.5468)	Prec@1 41.500 (37.790)	Prec@5 70.500 (68.642)
Epoch: [22][4340/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.6173 (2.5468)	Prec@1 35.000 (37.795)	Prec@5 66.000 (68.641)
Epoch: [22][4350/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.4589 (2.5470)	Prec@1 39.500 (37.791)	Prec@5 70.500 (68.637)
Epoch: [22][4360/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.7577 (2.5472)	Prec@1 32.500 (37.783)	Prec@5 60.500 (68.633)
Epoch: [22][4370/9018]	Time 0.616 (0.611)	Data 0.001 (0.002)	Loss 2.6088 (2.5473)	Prec@1 37.500 (37.783)	Prec@5 65.000 (68.629)
Epoch: [22][4380/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.4391 (2.5474)	Prec@1 42.000 (37.780)	Prec@5 68.000 (68.626)
Epoch: [22][4390/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.5918 (2.5475)	Prec@1 38.500 (37.780)	Prec@5 66.000 (68.621)
Epoch: [22][4400/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5031 (2.5473)	Prec@1 33.500 (37.779)	Prec@5 67.000 (68.626)
Epoch: [22][4410/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.6365 (2.5473)	Prec@1 36.500 (37.784)	Prec@5 68.000 (68.625)
Epoch: [22][4420/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.5503 (2.5473)	Prec@1 38.500 (37.783)	Prec@5 66.500 (68.624)
Epoch: [22][4430/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.5627 (2.5474)	Prec@1 37.500 (37.783)	Prec@5 69.000 (68.626)
Epoch: [22][4440/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.4288 (2.5473)	Prec@1 37.000 (37.782)	Prec@5 67.000 (68.627)
Epoch: [22][4450/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5717 (2.5472)	Prec@1 36.500 (37.785)	Prec@5 64.000 (68.627)
Epoch: [22][4460/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.6916 (2.5474)	Prec@1 37.500 (37.787)	Prec@5 64.000 (68.627)
Epoch: [22][4470/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.5520 (2.5475)	Prec@1 39.500 (37.784)	Prec@5 65.500 (68.626)
Epoch: [22][4480/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.4474 (2.5476)	Prec@1 37.500 (37.781)	Prec@5 74.000 (68.623)
Epoch: [22][4490/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.6512 (2.5475)	Prec@1 35.500 (37.783)	Prec@5 65.500 (68.626)
Epoch: [22][4500/9018]	Time 0.613 (0.611)	Data 0.001 (0.002)	Loss 2.5270 (2.5475)	Prec@1 37.000 (37.779)	Prec@5 68.000 (68.626)
Epoch: [22][4510/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 2.6937 (2.5476)	Prec@1 35.000 (37.781)	Prec@5 67.500 (68.627)
Epoch: [22][4520/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.4201 (2.5475)	Prec@1 44.500 (37.782)	Prec@5 69.500 (68.629)
Epoch: [22][4530/9018]	Time 0.719 (0.611)	Data 0.001 (0.002)	Loss 2.3490 (2.5475)	Prec@1 41.000 (37.781)	Prec@5 73.500 (68.633)
Epoch: [22][4540/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 2.4597 (2.5476)	Prec@1 38.000 (37.780)	Prec@5 74.000 (68.633)
Epoch: [22][4550/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5310 (2.5476)	Prec@1 39.500 (37.783)	Prec@5 70.000 (68.632)
Epoch: [22][4560/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.7387 (2.5476)	Prec@1 33.000 (37.779)	Prec@5 68.000 (68.631)
Epoch: [22][4570/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.5652 (2.5477)	Prec@1 41.500 (37.779)	Prec@5 69.000 (68.631)
Epoch: [22][4580/9018]	Time 0.714 (0.611)	Data 0.001 (0.002)	Loss 2.5630 (2.5477)	Prec@1 38.500 (37.783)	Prec@5 73.500 (68.631)
Epoch: [22][4590/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5398 (2.5476)	Prec@1 39.000 (37.783)	Prec@5 71.500 (68.634)
Epoch: [22][4600/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.7551 (2.5477)	Prec@1 34.000 (37.782)	Prec@5 65.000 (68.635)
Epoch: [22][4610/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.4852 (2.5477)	Prec@1 38.500 (37.780)	Prec@5 71.000 (68.633)
Epoch: [22][4620/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.6239 (2.5477)	Prec@1 36.500 (37.780)	Prec@5 66.500 (68.633)
Epoch: [22][4630/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 2.4479 (2.5477)	Prec@1 40.000 (37.778)	Prec@5 69.500 (68.633)
Epoch: [22][4640/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.5625 (2.5477)	Prec@1 37.500 (37.778)	Prec@5 66.500 (68.631)
Epoch: [22][4650/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.3224 (2.5477)	Prec@1 42.500 (37.777)	Prec@5 71.000 (68.631)
Epoch: [22][4660/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.7236 (2.5477)	Prec@1 38.000 (37.777)	Prec@5 65.000 (68.630)
Epoch: [22][4670/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.5084 (2.5478)	Prec@1 35.500 (37.778)	Prec@5 71.000 (68.631)
Epoch: [22][4680/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5280 (2.5477)	Prec@1 40.000 (37.782)	Prec@5 70.500 (68.633)
Epoch: [22][4690/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.4447 (2.5479)	Prec@1 39.500 (37.779)	Prec@5 69.500 (68.630)
Epoch: [22][4700/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.3297 (2.5477)	Prec@1 37.500 (37.783)	Prec@5 71.500 (68.632)
Epoch: [22][4710/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.3841 (2.5477)	Prec@1 39.500 (37.781)	Prec@5 71.000 (68.632)
Epoch: [22][4720/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 2.6594 (2.5477)	Prec@1 38.500 (37.781)	Prec@5 65.500 (68.632)
Epoch: [22][4730/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 2.5909 (2.5477)	Prec@1 40.000 (37.781)	Prec@5 67.500 (68.632)
Epoch: [22][4740/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.6888 (2.5479)	Prec@1 32.000 (37.775)	Prec@5 72.000 (68.631)
Epoch: [22][4750/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.6378 (2.5480)	Prec@1 37.000 (37.775)	Prec@5 69.500 (68.630)
Epoch: [22][4760/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.4846 (2.5479)	Prec@1 37.000 (37.779)	Prec@5 69.500 (68.634)
Epoch: [22][4770/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 2.6094 (2.5479)	Prec@1 39.000 (37.781)	Prec@5 67.000 (68.632)
Epoch: [22][4780/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.3948 (2.5478)	Prec@1 44.000 (37.784)	Prec@5 73.500 (68.634)
Epoch: [22][4790/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.5743 (2.5480)	Prec@1 34.000 (37.781)	Prec@5 68.000 (68.630)
Epoch: [22][4800/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.3983 (2.5480)	Prec@1 40.000 (37.780)	Prec@5 72.500 (68.627)
Epoch: [22][4810/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 2.5009 (2.5478)	Prec@1 39.500 (37.783)	Prec@5 67.500 (68.631)
Epoch: [22][4820/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 2.5460 (2.5477)	Prec@1 38.000 (37.784)	Prec@5 70.000 (68.634)
Epoch: [22][4830/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.4363 (2.5477)	Prec@1 38.000 (37.784)	Prec@5 69.500 (68.634)
Epoch: [22][4840/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.6551 (2.5478)	Prec@1 39.000 (37.785)	Prec@5 68.500 (68.632)
Epoch: [22][4850/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.5311 (2.5478)	Prec@1 37.000 (37.782)	Prec@5 71.000 (68.632)
Epoch: [22][4860/9018]	Time 0.722 (0.611)	Data 0.001 (0.002)	Loss 2.4184 (2.5478)	Prec@1 38.000 (37.783)	Prec@5 73.500 (68.634)
Epoch: [22][4870/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.6779 (2.5478)	Prec@1 41.500 (37.784)	Prec@5 66.500 (68.630)
Epoch: [22][4880/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.6997 (2.5477)	Prec@1 36.000 (37.785)	Prec@5 63.500 (68.632)
Epoch: [22][4890/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.6849 (2.5478)	Prec@1 36.500 (37.780)	Prec@5 67.500 (68.630)
Epoch: [22][4900/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.6275 (2.5478)	Prec@1 35.000 (37.779)	Prec@5 65.000 (68.630)
Epoch: [22][4910/9018]	Time 0.725 (0.611)	Data 0.001 (0.002)	Loss 2.3360 (2.5478)	Prec@1 38.500 (37.777)	Prec@5 75.000 (68.634)
Epoch: [22][4920/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.2087 (2.5476)	Prec@1 46.500 (37.777)	Prec@5 77.500 (68.637)
Epoch: [22][4930/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.6387 (2.5480)	Prec@1 34.500 (37.771)	Prec@5 67.000 (68.632)
Epoch: [22][4940/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.5858 (2.5481)	Prec@1 36.000 (37.769)	Prec@5 71.500 (68.630)
Epoch: [22][4950/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.5798 (2.5481)	Prec@1 43.000 (37.770)	Prec@5 68.000 (68.631)
Epoch: [22][4960/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.4386 (2.5482)	Prec@1 38.000 (37.770)	Prec@5 73.000 (68.630)
Epoch: [22][4970/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.4198 (2.5482)	Prec@1 42.000 (37.770)	Prec@5 69.000 (68.627)
Epoch: [22][4980/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.7287 (2.5484)	Prec@1 34.000 (37.764)	Prec@5 65.000 (68.623)
Epoch: [22][4990/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.6956 (2.5484)	Prec@1 38.000 (37.765)	Prec@5 63.500 (68.623)
Epoch: [22][5000/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.6394 (2.5485)	Prec@1 37.500 (37.761)	Prec@5 67.500 (68.621)
Epoch: [22][5010/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.6009 (2.5484)	Prec@1 35.000 (37.759)	Prec@5 67.000 (68.624)
Epoch: [22][5020/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.6659 (2.5485)	Prec@1 35.500 (37.758)	Prec@5 65.500 (68.621)
Epoch: [22][5030/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.4510 (2.5483)	Prec@1 40.000 (37.759)	Prec@5 66.000 (68.624)
Epoch: [22][5040/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.6081 (2.5484)	Prec@1 36.000 (37.757)	Prec@5 67.000 (68.625)
Epoch: [22][5050/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.3485 (2.5482)	Prec@1 39.500 (37.759)	Prec@5 72.000 (68.626)
Epoch: [22][5060/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.3611 (2.5481)	Prec@1 39.000 (37.761)	Prec@5 72.000 (68.630)
Epoch: [22][5070/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.4021 (2.5480)	Prec@1 41.500 (37.763)	Prec@5 67.000 (68.631)
Epoch: [22][5080/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.8749 (2.5481)	Prec@1 34.000 (37.761)	Prec@5 60.000 (68.629)
Epoch: [22][5090/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.5308 (2.5483)	Prec@1 39.000 (37.757)	Prec@5 71.500 (68.628)
Epoch: [22][5100/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.4947 (2.5483)	Prec@1 38.000 (37.757)	Prec@5 67.500 (68.625)
Epoch: [22][5110/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.7483 (2.5485)	Prec@1 39.000 (37.756)	Prec@5 64.500 (68.623)
Epoch: [22][5120/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.4838 (2.5485)	Prec@1 43.500 (37.757)	Prec@5 66.500 (68.625)
Epoch: [22][5130/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.6719 (2.5485)	Prec@1 34.500 (37.756)	Prec@5 67.500 (68.627)
Epoch: [22][5140/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5080 (2.5485)	Prec@1 40.000 (37.756)	Prec@5 65.000 (68.626)
Epoch: [22][5150/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.4608 (2.5485)	Prec@1 41.000 (37.754)	Prec@5 72.500 (68.628)
Epoch: [22][5160/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.4546 (2.5484)	Prec@1 40.500 (37.755)	Prec@5 73.500 (68.630)
Epoch: [22][5170/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.4476 (2.5483)	Prec@1 39.500 (37.756)	Prec@5 67.500 (68.634)
Epoch: [22][5180/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.6049 (2.5484)	Prec@1 34.000 (37.753)	Prec@5 65.000 (68.632)
Epoch: [22][5190/9018]	Time 0.722 (0.612)	Data 0.001 (0.002)	Loss 2.7020 (2.5484)	Prec@1 31.500 (37.752)	Prec@5 65.500 (68.631)
Epoch: [22][5200/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.4807 (2.5484)	Prec@1 39.500 (37.753)	Prec@5 68.000 (68.629)
Epoch: [22][5210/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.5929 (2.5484)	Prec@1 33.000 (37.752)	Prec@5 71.500 (68.630)
Epoch: [22][5220/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.5870 (2.5485)	Prec@1 39.000 (37.750)	Prec@5 73.000 (68.630)
Epoch: [22][5230/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.5058 (2.5486)	Prec@1 42.000 (37.748)	Prec@5 73.000 (68.630)
Epoch: [22][5240/9018]	Time 0.721 (0.612)	Data 0.001 (0.002)	Loss 2.4433 (2.5488)	Prec@1 41.000 (37.745)	Prec@5 69.000 (68.625)
Epoch: [22][5250/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.7809 (2.5487)	Prec@1 35.500 (37.749)	Prec@5 65.000 (68.628)
Epoch: [22][5260/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5304 (2.5486)	Prec@1 40.500 (37.752)	Prec@5 68.000 (68.632)
Epoch: [22][5270/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.6325 (2.5486)	Prec@1 34.500 (37.752)	Prec@5 65.500 (68.631)
Epoch: [22][5280/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.7770 (2.5486)	Prec@1 37.000 (37.751)	Prec@5 63.000 (68.630)
Epoch: [22][5290/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.5238 (2.5487)	Prec@1 39.500 (37.750)	Prec@5 67.500 (68.630)
Epoch: [22][5300/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.5261 (2.5488)	Prec@1 35.000 (37.749)	Prec@5 68.500 (68.628)
Epoch: [22][5310/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.1936 (2.5489)	Prec@1 39.000 (37.748)	Prec@5 77.500 (68.630)
Epoch: [22][5320/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.4490 (2.5490)	Prec@1 36.000 (37.746)	Prec@5 68.000 (68.627)
Epoch: [22][5330/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4780 (2.5489)	Prec@1 39.500 (37.747)	Prec@5 69.500 (68.627)
Epoch: [22][5340/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.6358 (2.5488)	Prec@1 32.500 (37.748)	Prec@5 67.000 (68.627)
Epoch: [22][5350/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.5608 (2.5487)	Prec@1 38.000 (37.750)	Prec@5 66.500 (68.630)
Epoch: [22][5360/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.8049 (2.5487)	Prec@1 29.000 (37.752)	Prec@5 62.500 (68.629)
Epoch: [22][5370/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.3804 (2.5487)	Prec@1 41.000 (37.753)	Prec@5 69.000 (68.628)
Epoch: [22][5380/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.5669 (2.5486)	Prec@1 41.000 (37.755)	Prec@5 64.000 (68.630)
Epoch: [22][5390/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.4490 (2.5485)	Prec@1 37.500 (37.758)	Prec@5 72.000 (68.630)
Epoch: [22][5400/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.6106 (2.5485)	Prec@1 38.500 (37.759)	Prec@5 66.000 (68.631)
Epoch: [22][5410/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.3258 (2.5486)	Prec@1 42.000 (37.755)	Prec@5 74.500 (68.630)
Epoch: [22][5420/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.7390 (2.5485)	Prec@1 35.000 (37.755)	Prec@5 63.500 (68.632)
Epoch: [22][5430/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5667 (2.5486)	Prec@1 44.500 (37.754)	Prec@5 63.500 (68.631)
Epoch: [22][5440/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.6056 (2.5486)	Prec@1 38.000 (37.752)	Prec@5 67.000 (68.633)
Epoch: [22][5450/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.5903 (2.5487)	Prec@1 34.500 (37.750)	Prec@5 68.500 (68.633)
Epoch: [22][5460/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.4149 (2.5486)	Prec@1 41.000 (37.751)	Prec@5 72.000 (68.634)
Epoch: [22][5470/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.4930 (2.5487)	Prec@1 41.000 (37.752)	Prec@5 69.500 (68.631)
Epoch: [22][5480/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 2.5337 (2.5487)	Prec@1 36.000 (37.751)	Prec@5 71.500 (68.631)
Epoch: [22][5490/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6323 (2.5488)	Prec@1 40.500 (37.748)	Prec@5 66.500 (68.630)
Epoch: [22][5500/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4874 (2.5486)	Prec@1 38.000 (37.748)	Prec@5 70.000 (68.632)
Epoch: [22][5510/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5734 (2.5487)	Prec@1 41.500 (37.746)	Prec@5 68.500 (68.631)
Epoch: [22][5520/9018]	Time 0.735 (0.612)	Data 0.001 (0.002)	Loss 2.4551 (2.5488)	Prec@1 43.000 (37.745)	Prec@5 71.000 (68.631)
Epoch: [22][5530/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.4771 (2.5488)	Prec@1 42.000 (37.745)	Prec@5 69.500 (68.632)
Epoch: [22][5540/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.7592 (2.5488)	Prec@1 38.500 (37.745)	Prec@5 64.000 (68.630)
Epoch: [22][5550/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.5992 (2.5488)	Prec@1 40.000 (37.746)	Prec@5 67.000 (68.630)
Epoch: [22][5560/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5944 (2.5487)	Prec@1 38.500 (37.747)	Prec@5 69.500 (68.632)
Epoch: [22][5570/9018]	Time 0.722 (0.612)	Data 0.001 (0.002)	Loss 2.6592 (2.5487)	Prec@1 36.500 (37.749)	Prec@5 60.500 (68.632)
Epoch: [22][5580/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.6802 (2.5486)	Prec@1 36.500 (37.750)	Prec@5 65.000 (68.635)
Epoch: [22][5590/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5739 (2.5486)	Prec@1 36.500 (37.750)	Prec@5 65.000 (68.636)
Epoch: [22][5600/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.1972 (2.5486)	Prec@1 44.500 (37.751)	Prec@5 75.500 (68.637)
Epoch: [22][5610/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.5257 (2.5486)	Prec@1 41.500 (37.753)	Prec@5 68.500 (68.637)
Epoch: [22][5620/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.6145 (2.5487)	Prec@1 37.500 (37.749)	Prec@5 69.000 (68.633)
Epoch: [22][5630/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.4990 (2.5487)	Prec@1 40.500 (37.750)	Prec@5 70.000 (68.633)
Epoch: [22][5640/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.4919 (2.5487)	Prec@1 35.500 (37.749)	Prec@5 69.000 (68.633)
Epoch: [22][5650/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.5710 (2.5487)	Prec@1 41.000 (37.750)	Prec@5 67.000 (68.633)
Epoch: [22][5660/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.5854 (2.5488)	Prec@1 39.500 (37.749)	Prec@5 66.000 (68.631)
Epoch: [22][5670/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.5628 (2.5489)	Prec@1 33.500 (37.748)	Prec@5 66.000 (68.630)
Epoch: [22][5680/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.3788 (2.5489)	Prec@1 38.500 (37.746)	Prec@5 72.500 (68.628)
Epoch: [22][5690/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.4174 (2.5488)	Prec@1 43.500 (37.752)	Prec@5 69.500 (68.629)
Epoch: [22][5700/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.5333 (2.5488)	Prec@1 36.500 (37.752)	Prec@5 70.000 (68.629)
Epoch: [22][5710/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4446 (2.5488)	Prec@1 39.500 (37.750)	Prec@5 72.000 (68.629)
Epoch: [22][5720/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.7015 (2.5487)	Prec@1 35.000 (37.752)	Prec@5 65.000 (68.629)
Epoch: [22][5730/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.8212 (2.5488)	Prec@1 35.000 (37.753)	Prec@5 59.500 (68.629)
Epoch: [22][5740/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 2.5307 (2.5489)	Prec@1 34.500 (37.751)	Prec@5 70.000 (68.627)
Epoch: [22][5750/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.6081 (2.5490)	Prec@1 35.500 (37.750)	Prec@5 68.500 (68.623)
Epoch: [22][5760/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.5905 (2.5491)	Prec@1 37.000 (37.749)	Prec@5 68.000 (68.622)
Epoch: [22][5770/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.4959 (2.5491)	Prec@1 39.500 (37.749)	Prec@5 70.500 (68.622)
Epoch: [22][5780/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5644 (2.5492)	Prec@1 39.500 (37.748)	Prec@5 67.000 (68.619)
Epoch: [22][5790/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.6432 (2.5493)	Prec@1 36.000 (37.746)	Prec@5 64.000 (68.618)
Epoch: [22][5800/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.6437 (2.5492)	Prec@1 36.500 (37.746)	Prec@5 67.000 (68.621)
Epoch: [22][5810/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.6864 (2.5492)	Prec@1 37.000 (37.746)	Prec@5 64.500 (68.622)
Epoch: [22][5820/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.5773 (2.5493)	Prec@1 38.000 (37.748)	Prec@5 69.500 (68.622)
Epoch: [22][5830/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.5369 (2.5493)	Prec@1 39.000 (37.747)	Prec@5 66.500 (68.622)
Epoch: [22][5840/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.5133 (2.5493)	Prec@1 39.000 (37.745)	Prec@5 71.000 (68.621)
Epoch: [22][5850/9018]	Time 0.725 (0.612)	Data 0.001 (0.002)	Loss 2.6575 (2.5494)	Prec@1 37.000 (37.745)	Prec@5 66.000 (68.620)
Epoch: [22][5860/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.7314 (2.5494)	Prec@1 36.000 (37.746)	Prec@5 67.500 (68.620)
Epoch: [22][5870/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.4616 (2.5493)	Prec@1 36.500 (37.745)	Prec@5 72.500 (68.622)
Epoch: [22][5880/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.7153 (2.5493)	Prec@1 32.500 (37.745)	Prec@5 64.000 (68.622)
Epoch: [22][5890/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.5650 (2.5493)	Prec@1 36.500 (37.745)	Prec@5 68.000 (68.622)
Epoch: [22][5900/9018]	Time 0.726 (0.612)	Data 0.001 (0.002)	Loss 2.2928 (2.5492)	Prec@1 42.000 (37.747)	Prec@5 72.500 (68.623)
Epoch: [22][5910/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.8527 (2.5494)	Prec@1 31.000 (37.743)	Prec@5 61.000 (68.619)
Epoch: [22][5920/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.4687 (2.5493)	Prec@1 40.000 (37.745)	Prec@5 68.500 (68.621)
Epoch: [22][5930/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.4152 (2.5492)	Prec@1 42.500 (37.748)	Prec@5 67.000 (68.622)
Epoch: [22][5940/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.7225 (2.5493)	Prec@1 35.000 (37.747)	Prec@5 65.500 (68.620)
Epoch: [22][5950/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.6436 (2.5494)	Prec@1 35.000 (37.744)	Prec@5 67.500 (68.618)
Epoch: [22][5960/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.6961 (2.5495)	Prec@1 39.500 (37.741)	Prec@5 66.500 (68.616)
Epoch: [22][5970/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.7406 (2.5495)	Prec@1 33.000 (37.742)	Prec@5 63.500 (68.618)
Epoch: [22][5980/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.4934 (2.5494)	Prec@1 43.000 (37.742)	Prec@5 66.000 (68.617)
Epoch: [22][5990/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.5879 (2.5496)	Prec@1 39.000 (37.738)	Prec@5 66.000 (68.614)
Epoch: [22][6000/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.6673 (2.5496)	Prec@1 35.500 (37.738)	Prec@5 64.500 (68.613)
Epoch: [22][6010/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.5255 (2.5495)	Prec@1 37.500 (37.740)	Prec@5 71.000 (68.615)
Epoch: [22][6020/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.3496 (2.5494)	Prec@1 38.000 (37.743)	Prec@5 73.500 (68.616)
Epoch: [22][6030/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.5598 (2.5494)	Prec@1 36.000 (37.743)	Prec@5 66.500 (68.617)
Epoch: [22][6040/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.6087 (2.5494)	Prec@1 37.000 (37.743)	Prec@5 68.000 (68.618)
Epoch: [22][6050/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.6522 (2.5494)	Prec@1 37.500 (37.745)	Prec@5 67.500 (68.618)
Epoch: [22][6060/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.4225 (2.5494)	Prec@1 38.500 (37.745)	Prec@5 72.500 (68.618)
Epoch: [22][6070/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.6575 (2.5495)	Prec@1 39.000 (37.744)	Prec@5 67.500 (68.617)
Epoch: [22][6080/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.4920 (2.5495)	Prec@1 41.500 (37.745)	Prec@5 70.000 (68.616)
Epoch: [22][6090/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5641 (2.5494)	Prec@1 39.500 (37.746)	Prec@5 67.500 (68.618)
Epoch: [22][6100/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.4586 (2.5492)	Prec@1 41.000 (37.749)	Prec@5 70.000 (68.621)
Epoch: [22][6110/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.5883 (2.5493)	Prec@1 34.500 (37.750)	Prec@5 68.500 (68.620)
Epoch: [22][6120/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.7087 (2.5494)	Prec@1 37.000 (37.746)	Prec@5 65.500 (68.618)
Epoch: [22][6130/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.6320 (2.5495)	Prec@1 39.000 (37.744)	Prec@5 65.000 (68.615)
Epoch: [22][6140/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.8026 (2.5495)	Prec@1 35.000 (37.746)	Prec@5 62.500 (68.613)
Epoch: [22][6150/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.8094 (2.5495)	Prec@1 35.000 (37.746)	Prec@5 64.000 (68.614)
Epoch: [22][6160/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.6814 (2.5495)	Prec@1 37.000 (37.747)	Prec@5 69.000 (68.614)
Epoch: [22][6170/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.4535 (2.5496)	Prec@1 41.500 (37.748)	Prec@5 73.000 (68.612)
Epoch: [22][6180/9018]	Time 0.736 (0.612)	Data 0.001 (0.002)	Loss 2.4761 (2.5495)	Prec@1 39.500 (37.751)	Prec@5 68.500 (68.614)
Epoch: [22][6190/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.8135 (2.5495)	Prec@1 33.000 (37.747)	Prec@5 62.000 (68.613)
Epoch: [22][6200/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.4188 (2.5496)	Prec@1 33.000 (37.741)	Prec@5 72.000 (68.612)
Epoch: [22][6210/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.3153 (2.5497)	Prec@1 40.500 (37.739)	Prec@5 73.000 (68.612)
Epoch: [22][6220/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.5408 (2.5498)	Prec@1 37.500 (37.737)	Prec@5 68.000 (68.611)
Epoch: [22][6230/9018]	Time 0.724 (0.612)	Data 0.001 (0.002)	Loss 2.4398 (2.5497)	Prec@1 39.500 (37.740)	Prec@5 68.500 (68.611)
Epoch: [22][6240/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 2.5745 (2.5496)	Prec@1 42.500 (37.740)	Prec@5 68.000 (68.614)
Epoch: [22][6250/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.2251 (2.5496)	Prec@1 46.000 (37.739)	Prec@5 76.500 (68.615)
Epoch: [22][6260/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6778 (2.5496)	Prec@1 36.000 (37.739)	Prec@5 68.000 (68.615)
Epoch: [22][6270/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.6456 (2.5496)	Prec@1 38.000 (37.741)	Prec@5 66.500 (68.614)
Epoch: [22][6280/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.4356 (2.5496)	Prec@1 37.000 (37.740)	Prec@5 70.500 (68.616)
Epoch: [22][6290/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6194 (2.5496)	Prec@1 32.500 (37.739)	Prec@5 65.500 (68.616)
Epoch: [22][6300/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5146 (2.5496)	Prec@1 39.500 (37.739)	Prec@5 69.000 (68.617)
Epoch: [22][6310/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.6066 (2.5496)	Prec@1 37.500 (37.740)	Prec@5 66.000 (68.616)
Epoch: [22][6320/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.5733 (2.5496)	Prec@1 36.000 (37.741)	Prec@5 70.500 (68.616)
Epoch: [22][6330/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.4977 (2.5496)	Prec@1 40.000 (37.740)	Prec@5 67.000 (68.616)
Epoch: [22][6340/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.3531 (2.5496)	Prec@1 43.500 (37.740)	Prec@5 74.000 (68.615)
Epoch: [22][6350/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5001 (2.5496)	Prec@1 37.000 (37.739)	Prec@5 68.500 (68.613)
Epoch: [22][6360/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 3.0146 (2.5498)	Prec@1 26.000 (37.736)	Prec@5 56.000 (68.609)
Epoch: [22][6370/9018]	Time 0.611 (0.612)	Data 0.001 (0.002)	Loss 2.5649 (2.5498)	Prec@1 38.500 (37.736)	Prec@5 68.000 (68.611)
Epoch: [22][6380/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.5447 (2.5500)	Prec@1 36.000 (37.734)	Prec@5 69.000 (68.608)
Epoch: [22][6390/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.2014 (2.5498)	Prec@1 47.500 (37.737)	Prec@5 75.000 (68.611)
Epoch: [22][6400/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.6275 (2.5500)	Prec@1 38.500 (37.735)	Prec@5 66.500 (68.607)
Epoch: [22][6410/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.3778 (2.5500)	Prec@1 41.500 (37.734)	Prec@5 70.000 (68.607)
Epoch: [22][6420/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.5219 (2.5500)	Prec@1 39.500 (37.734)	Prec@5 71.000 (68.609)
Epoch: [22][6430/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.8599 (2.5501)	Prec@1 33.000 (37.733)	Prec@5 61.000 (68.605)
Epoch: [22][6440/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.5055 (2.5500)	Prec@1 38.500 (37.734)	Prec@5 71.500 (68.607)
Epoch: [22][6450/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.5416 (2.5501)	Prec@1 40.500 (37.734)	Prec@5 69.500 (68.603)
Epoch: [22][6460/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.3165 (2.5501)	Prec@1 43.500 (37.735)	Prec@5 72.500 (68.603)
Epoch: [22][6470/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.6659 (2.5501)	Prec@1 35.500 (37.734)	Prec@5 66.000 (68.603)
Epoch: [22][6480/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.6101 (2.5502)	Prec@1 36.000 (37.731)	Prec@5 67.500 (68.600)
Epoch: [22][6490/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.5475 (2.5502)	Prec@1 36.000 (37.731)	Prec@5 71.000 (68.599)
Epoch: [22][6500/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.7542 (2.5502)	Prec@1 34.000 (37.731)	Prec@5 63.000 (68.598)
Epoch: [22][6510/9018]	Time 0.724 (0.612)	Data 0.001 (0.002)	Loss 2.5395 (2.5502)	Prec@1 38.500 (37.731)	Prec@5 68.500 (68.599)
Epoch: [22][6520/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.6455 (2.5502)	Prec@1 31.000 (37.732)	Prec@5 70.500 (68.600)
Epoch: [22][6530/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 2.6519 (2.5502)	Prec@1 34.500 (37.734)	Prec@5 68.500 (68.599)
Epoch: [22][6540/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.5542 (2.5502)	Prec@1 38.500 (37.731)	Prec@5 70.500 (68.598)
Epoch: [22][6550/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.7008 (2.5503)	Prec@1 36.000 (37.729)	Prec@5 68.500 (68.597)
Epoch: [22][6560/9018]	Time 0.714 (0.612)	Data 0.001 (0.002)	Loss 2.3206 (2.5504)	Prec@1 39.000 (37.726)	Prec@5 70.500 (68.597)
Epoch: [22][6570/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.6077 (2.5504)	Prec@1 34.500 (37.725)	Prec@5 69.000 (68.596)
Epoch: [22][6580/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.7939 (2.5505)	Prec@1 34.500 (37.722)	Prec@5 66.000 (68.595)
Epoch: [22][6590/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.6143 (2.5506)	Prec@1 32.500 (37.720)	Prec@5 68.500 (68.593)
Epoch: [22][6600/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.6222 (2.5506)	Prec@1 37.500 (37.720)	Prec@5 63.500 (68.593)
Epoch: [22][6610/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.4477 (2.5505)	Prec@1 39.000 (37.720)	Prec@5 69.500 (68.594)
Epoch: [22][6620/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.3738 (2.5505)	Prec@1 36.000 (37.721)	Prec@5 76.500 (68.595)
Epoch: [22][6630/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.4180 (2.5504)	Prec@1 40.000 (37.722)	Prec@5 72.500 (68.597)
Epoch: [22][6640/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.6110 (2.5505)	Prec@1 38.000 (37.722)	Prec@5 65.500 (68.594)
Epoch: [22][6650/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.6216 (2.5506)	Prec@1 38.000 (37.719)	Prec@5 67.500 (68.591)
Epoch: [22][6660/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5707 (2.5506)	Prec@1 37.000 (37.719)	Prec@5 66.000 (68.592)
Epoch: [22][6670/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.3752 (2.5504)	Prec@1 40.500 (37.719)	Prec@5 71.500 (68.596)
Epoch: [22][6680/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5666 (2.5504)	Prec@1 38.000 (37.716)	Prec@5 66.500 (68.595)
Epoch: [22][6690/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.6210 (2.5504)	Prec@1 32.000 (37.715)	Prec@5 68.000 (68.597)
Epoch: [22][6700/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.5121 (2.5505)	Prec@1 39.500 (37.715)	Prec@5 71.500 (68.596)
Epoch: [22][6710/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6432 (2.5505)	Prec@1 37.000 (37.714)	Prec@5 65.500 (68.595)
Epoch: [22][6720/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.5775 (2.5505)	Prec@1 43.000 (37.714)	Prec@5 67.500 (68.594)
Epoch: [22][6730/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.6648 (2.5506)	Prec@1 37.000 (37.712)	Prec@5 63.500 (68.593)
Epoch: [22][6740/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.5646 (2.5506)	Prec@1 34.000 (37.710)	Prec@5 71.000 (68.591)
Epoch: [22][6750/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.6617 (2.5507)	Prec@1 34.000 (37.710)	Prec@5 66.000 (68.589)
Epoch: [22][6760/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.5615 (2.5507)	Prec@1 36.500 (37.710)	Prec@5 71.000 (68.588)
Epoch: [22][6770/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.7232 (2.5507)	Prec@1 33.500 (37.710)	Prec@5 64.500 (68.588)
Epoch: [22][6780/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5194 (2.5506)	Prec@1 38.500 (37.714)	Prec@5 68.000 (68.591)
Epoch: [22][6790/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.3347 (2.5505)	Prec@1 39.000 (37.712)	Prec@5 70.000 (68.593)
Epoch: [22][6800/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.7151 (2.5506)	Prec@1 33.500 (37.712)	Prec@5 66.000 (68.590)
Epoch: [22][6810/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 2.6215 (2.5505)	Prec@1 35.000 (37.713)	Prec@5 63.500 (68.591)
Epoch: [22][6820/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6047 (2.5505)	Prec@1 38.000 (37.713)	Prec@5 65.500 (68.593)
Epoch: [22][6830/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.6294 (2.5506)	Prec@1 33.500 (37.712)	Prec@5 69.000 (68.591)
Epoch: [22][6840/9018]	Time 0.715 (0.612)	Data 0.001 (0.002)	Loss 2.5967 (2.5504)	Prec@1 40.500 (37.715)	Prec@5 69.000 (68.595)
Epoch: [22][6850/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.7007 (2.5506)	Prec@1 39.000 (37.713)	Prec@5 68.500 (68.595)
Epoch: [22][6860/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.4695 (2.5506)	Prec@1 38.500 (37.713)	Prec@5 69.500 (68.595)
Epoch: [22][6870/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.6335 (2.5506)	Prec@1 35.000 (37.715)	Prec@5 67.500 (68.595)
Epoch: [22][6880/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.3015 (2.5506)	Prec@1 41.500 (37.714)	Prec@5 74.000 (68.595)
Epoch: [22][6890/9018]	Time 0.707 (0.612)	Data 0.001 (0.002)	Loss 2.3735 (2.5505)	Prec@1 43.000 (37.715)	Prec@5 71.500 (68.595)
Epoch: [22][6900/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.6149 (2.5506)	Prec@1 37.500 (37.714)	Prec@5 67.500 (68.593)
Epoch: [22][6910/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.6935 (2.5507)	Prec@1 36.000 (37.712)	Prec@5 67.000 (68.591)
Epoch: [22][6920/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4630 (2.5507)	Prec@1 43.500 (37.712)	Prec@5 69.500 (68.592)
Epoch: [22][6930/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.3550 (2.5506)	Prec@1 41.000 (37.714)	Prec@5 71.000 (68.594)
Epoch: [22][6940/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.6649 (2.5506)	Prec@1 35.500 (37.713)	Prec@5 66.000 (68.594)
Epoch: [22][6950/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.5770 (2.5506)	Prec@1 39.000 (37.715)	Prec@5 68.000 (68.594)
Epoch: [22][6960/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.4274 (2.5506)	Prec@1 39.000 (37.716)	Prec@5 71.000 (68.591)
Epoch: [22][6970/9018]	Time 0.616 (0.612)	Data 0.001 (0.002)	Loss 2.6006 (2.5508)	Prec@1 41.500 (37.715)	Prec@5 67.500 (68.588)
Epoch: [22][6980/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.6728 (2.5507)	Prec@1 33.000 (37.715)	Prec@5 66.500 (68.590)
Epoch: [22][6990/9018]	Time 0.611 (0.612)	Data 0.001 (0.002)	Loss 2.7528 (2.5509)	Prec@1 35.500 (37.712)	Prec@5 60.000 (68.587)
Epoch: [22][7000/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.7028 (2.5509)	Prec@1 35.000 (37.712)	Prec@5 65.000 (68.588)
Epoch: [22][7010/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.6275 (2.5509)	Prec@1 37.500 (37.711)	Prec@5 62.500 (68.586)
Epoch: [22][7020/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.3740 (2.5509)	Prec@1 40.500 (37.711)	Prec@5 73.000 (68.589)
Epoch: [22][7030/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.4467 (2.5509)	Prec@1 39.000 (37.710)	Prec@5 70.500 (68.587)
Epoch: [22][7040/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.4207 (2.5509)	Prec@1 41.500 (37.715)	Prec@5 69.500 (68.588)
Epoch: [22][7050/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.7933 (2.5509)	Prec@1 32.500 (37.714)	Prec@5 60.000 (68.586)
Epoch: [22][7060/9018]	Time 0.616 (0.612)	Data 0.001 (0.002)	Loss 2.4805 (2.5509)	Prec@1 41.000 (37.714)	Prec@5 71.500 (68.586)
Epoch: [22][7070/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.4743 (2.5510)	Prec@1 42.000 (37.713)	Prec@5 73.000 (68.585)
Epoch: [22][7080/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.7600 (2.5510)	Prec@1 35.000 (37.710)	Prec@5 64.500 (68.581)
Epoch: [22][7090/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.5389 (2.5511)	Prec@1 35.500 (37.709)	Prec@5 68.500 (68.579)
Epoch: [22][7100/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.5372 (2.5512)	Prec@1 39.000 (37.707)	Prec@5 70.000 (68.577)
Epoch: [22][7110/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.8899 (2.5512)	Prec@1 33.500 (37.707)	Prec@5 67.500 (68.578)
Epoch: [22][7120/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4914 (2.5512)	Prec@1 40.000 (37.707)	Prec@5 71.000 (68.578)
Epoch: [22][7130/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.3285 (2.5512)	Prec@1 41.500 (37.707)	Prec@5 73.000 (68.577)
Epoch: [22][7140/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.3970 (2.5512)	Prec@1 38.000 (37.707)	Prec@5 70.000 (68.578)
Epoch: [22][7150/9018]	Time 0.615 (0.612)	Data 0.001 (0.002)	Loss 2.5986 (2.5512)	Prec@1 36.000 (37.707)	Prec@5 69.500 (68.578)
Epoch: [22][7160/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.7306 (2.5511)	Prec@1 32.500 (37.708)	Prec@5 60.000 (68.580)
Epoch: [22][7170/9018]	Time 0.724 (0.612)	Data 0.001 (0.002)	Loss 2.6951 (2.5511)	Prec@1 32.500 (37.705)	Prec@5 66.500 (68.579)
Epoch: [22][7180/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.4413 (2.5511)	Prec@1 38.000 (37.705)	Prec@5 71.000 (68.580)
Epoch: [22][7190/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5706 (2.5511)	Prec@1 37.500 (37.704)	Prec@5 67.000 (68.580)
Epoch: [22][7200/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.3993 (2.5511)	Prec@1 38.000 (37.702)	Prec@5 72.500 (68.578)
Epoch: [22][7210/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.6265 (2.5511)	Prec@1 33.000 (37.701)	Prec@5 65.000 (68.579)
Epoch: [22][7220/9018]	Time 0.740 (0.612)	Data 0.001 (0.002)	Loss 2.5414 (2.5511)	Prec@1 38.000 (37.699)	Prec@5 73.500 (68.578)
Epoch: [22][7230/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.4977 (2.5511)	Prec@1 38.500 (37.697)	Prec@5 71.000 (68.578)
Epoch: [22][7240/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.8097 (2.5511)	Prec@1 30.500 (37.697)	Prec@5 64.500 (68.577)
Epoch: [22][7250/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.4976 (2.5511)	Prec@1 35.000 (37.699)	Prec@5 70.000 (68.577)
Epoch: [22][7260/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.3353 (2.5511)	Prec@1 40.500 (37.698)	Prec@5 75.000 (68.577)
Epoch: [22][7270/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.5462 (2.5511)	Prec@1 42.000 (37.699)	Prec@5 68.500 (68.577)
Epoch: [22][7280/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.5506 (2.5511)	Prec@1 37.000 (37.697)	Prec@5 68.000 (68.578)
Epoch: [22][7290/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.3376 (2.5511)	Prec@1 40.500 (37.698)	Prec@5 70.500 (68.580)
Epoch: [22][7300/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.3502 (2.5511)	Prec@1 39.500 (37.696)	Prec@5 75.500 (68.581)
Epoch: [22][7310/9018]	Time 0.613 (0.612)	Data 0.001 (0.002)	Loss 2.6694 (2.5511)	Prec@1 36.000 (37.696)	Prec@5 66.500 (68.579)
Epoch: [22][7320/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.4676 (2.5511)	Prec@1 38.500 (37.696)	Prec@5 68.500 (68.580)
Epoch: [22][7330/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5466 (2.5511)	Prec@1 42.000 (37.696)	Prec@5 65.500 (68.580)
Epoch: [22][7340/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.4966 (2.5510)	Prec@1 38.500 (37.697)	Prec@5 67.000 (68.580)
Epoch: [22][7350/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.4202 (2.5510)	Prec@1 47.000 (37.699)	Prec@5 71.500 (68.579)
Epoch: [22][7360/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.3831 (2.5510)	Prec@1 43.000 (37.699)	Prec@5 70.000 (68.581)
Epoch: [22][7370/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.3511 (2.5510)	Prec@1 41.000 (37.700)	Prec@5 75.000 (68.580)
Epoch: [22][7380/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.7207 (2.5511)	Prec@1 33.000 (37.698)	Prec@5 63.500 (68.579)
Epoch: [22][7390/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6308 (2.5511)	Prec@1 34.000 (37.698)	Prec@5 65.500 (68.577)
Epoch: [22][7400/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6657 (2.5511)	Prec@1 32.500 (37.696)	Prec@5 65.000 (68.577)
Epoch: [22][7410/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.5395 (2.5512)	Prec@1 38.000 (37.697)	Prec@5 70.500 (68.577)
Epoch: [22][7420/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.5773 (2.5512)	Prec@1 38.500 (37.696)	Prec@5 66.000 (68.576)
Epoch: [22][7430/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.7391 (2.5512)	Prec@1 32.000 (37.697)	Prec@5 65.500 (68.576)
Epoch: [22][7440/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.5632 (2.5512)	Prec@1 40.500 (37.697)	Prec@5 66.500 (68.576)
Epoch: [22][7450/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4644 (2.5511)	Prec@1 37.000 (37.697)	Prec@5 71.000 (68.578)
Epoch: [22][7460/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6422 (2.5512)	Prec@1 38.000 (37.697)	Prec@5 71.000 (68.577)
Epoch: [22][7470/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.4705 (2.5512)	Prec@1 40.500 (37.698)	Prec@5 69.500 (68.577)
Epoch: [22][7480/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.5117 (2.5511)	Prec@1 37.500 (37.700)	Prec@5 66.500 (68.578)
Epoch: [22][7490/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.7180 (2.5511)	Prec@1 37.000 (37.700)	Prec@5 65.000 (68.579)
Epoch: [22][7500/9018]	Time 0.727 (0.612)	Data 0.001 (0.002)	Loss 2.5657 (2.5511)	Prec@1 37.000 (37.700)	Prec@5 67.000 (68.580)
Epoch: [22][7510/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.6892 (2.5511)	Prec@1 36.000 (37.701)	Prec@5 67.000 (68.581)
Epoch: [22][7520/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4559 (2.5511)	Prec@1 39.000 (37.700)	Prec@5 69.500 (68.580)
Epoch: [22][7530/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.5723 (2.5511)	Prec@1 40.500 (37.701)	Prec@5 65.000 (68.580)
Epoch: [22][7540/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.8767 (2.5513)	Prec@1 31.000 (37.696)	Prec@5 65.500 (68.577)
Epoch: [22][7550/9018]	Time 0.726 (0.612)	Data 0.001 (0.002)	Loss 2.6265 (2.5513)	Prec@1 36.500 (37.695)	Prec@5 66.500 (68.576)
Epoch: [22][7560/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.6003 (2.5512)	Prec@1 37.000 (37.696)	Prec@5 68.000 (68.578)
Epoch: [22][7570/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.4121 (2.5511)	Prec@1 43.500 (37.697)	Prec@5 68.500 (68.578)
Epoch: [22][7580/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.4969 (2.5512)	Prec@1 38.500 (37.697)	Prec@5 69.000 (68.577)
Epoch: [22][7590/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.5777 (2.5512)	Prec@1 33.000 (37.694)	Prec@5 70.500 (68.578)
Epoch: [22][7600/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.3697 (2.5511)	Prec@1 41.500 (37.695)	Prec@5 72.000 (68.579)
Epoch: [22][7610/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.5140 (2.5512)	Prec@1 40.000 (37.695)	Prec@5 71.000 (68.577)
Epoch: [22][7620/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.5453 (2.5511)	Prec@1 37.000 (37.696)	Prec@5 68.500 (68.578)
Epoch: [22][7630/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.5188 (2.5511)	Prec@1 37.500 (37.696)	Prec@5 69.500 (68.579)
Epoch: [22][7640/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.4210 (2.5511)	Prec@1 42.000 (37.697)	Prec@5 69.500 (68.580)
Epoch: [22][7650/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.5060 (2.5510)	Prec@1 37.000 (37.695)	Prec@5 67.000 (68.582)
Epoch: [22][7660/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.4871 (2.5511)	Prec@1 43.000 (37.694)	Prec@5 69.500 (68.579)
Epoch: [22][7670/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.4591 (2.5511)	Prec@1 37.500 (37.696)	Prec@5 67.500 (68.580)
Epoch: [22][7680/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.4805 (2.5511)	Prec@1 38.000 (37.696)	Prec@5 69.500 (68.582)
Epoch: [22][7690/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5873 (2.5511)	Prec@1 39.500 (37.695)	Prec@5 69.500 (68.580)
Epoch: [22][7700/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.6997 (2.5512)	Prec@1 35.000 (37.694)	Prec@5 67.500 (68.578)
Epoch: [22][7710/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4690 (2.5511)	Prec@1 35.000 (37.694)	Prec@5 70.000 (68.580)
Epoch: [22][7720/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.6784 (2.5512)	Prec@1 37.500 (37.693)	Prec@5 65.500 (68.580)
Epoch: [22][7730/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.6294 (2.5512)	Prec@1 34.000 (37.695)	Prec@5 69.000 (68.579)
Epoch: [22][7740/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.5443 (2.5511)	Prec@1 39.000 (37.695)	Prec@5 71.500 (68.580)
Epoch: [22][7750/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.7965 (2.5512)	Prec@1 36.000 (37.694)	Prec@5 65.500 (68.579)
Epoch: [22][7760/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.5603 (2.5510)	Prec@1 35.000 (37.697)	Prec@5 69.500 (68.579)
Epoch: [22][7770/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.7410 (2.5511)	Prec@1 38.000 (37.695)	Prec@5 64.000 (68.578)
Epoch: [22][7780/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.4052 (2.5511)	Prec@1 39.000 (37.694)	Prec@5 72.000 (68.579)
Epoch: [22][7790/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.4576 (2.5510)	Prec@1 37.500 (37.695)	Prec@5 71.500 (68.581)
Epoch: [22][7800/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5871 (2.5510)	Prec@1 38.000 (37.695)	Prec@5 67.000 (68.582)
Epoch: [22][7810/9018]	Time 0.610 (0.612)	Data 0.003 (0.002)	Loss 2.4079 (2.5509)	Prec@1 39.000 (37.698)	Prec@5 71.500 (68.584)
Epoch: [22][7820/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.6024 (2.5509)	Prec@1 35.000 (37.696)	Prec@5 69.000 (68.584)
Epoch: [22][7830/9018]	Time 0.713 (0.612)	Data 0.001 (0.002)	Loss 2.5326 (2.5509)	Prec@1 42.500 (37.695)	Prec@5 69.500 (68.584)
Epoch: [22][7840/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.4951 (2.5509)	Prec@1 36.500 (37.696)	Prec@5 68.500 (68.587)
Epoch: [22][7850/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4510 (2.5509)	Prec@1 40.000 (37.695)	Prec@5 72.500 (68.587)
Epoch: [22][7860/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.4384 (2.5509)	Prec@1 39.500 (37.695)	Prec@5 68.500 (68.585)
Epoch: [22][7870/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.3999 (2.5510)	Prec@1 39.000 (37.693)	Prec@5 70.500 (68.584)
Epoch: [22][7880/9018]	Time 0.725 (0.612)	Data 0.001 (0.002)	Loss 2.4445 (2.5510)	Prec@1 38.500 (37.692)	Prec@5 71.500 (68.585)
Epoch: [22][7890/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.4826 (2.5508)	Prec@1 40.000 (37.697)	Prec@5 68.500 (68.587)
Epoch: [22][7900/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.6597 (2.5509)	Prec@1 31.000 (37.696)	Prec@5 65.500 (68.585)
Epoch: [22][7910/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.5145 (2.5510)	Prec@1 41.000 (37.694)	Prec@5 67.000 (68.584)
Epoch: [22][7920/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.6595 (2.5510)	Prec@1 35.500 (37.694)	Prec@5 58.500 (68.584)
Epoch: [22][7930/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.7473 (2.5510)	Prec@1 34.000 (37.696)	Prec@5 64.000 (68.583)
Epoch: [22][7940/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.6709 (2.5510)	Prec@1 34.500 (37.695)	Prec@5 67.000 (68.584)
Epoch: [22][7950/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.7643 (2.5511)	Prec@1 33.000 (37.695)	Prec@5 64.500 (68.584)
Epoch: [22][7960/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.3669 (2.5510)	Prec@1 38.000 (37.696)	Prec@5 71.000 (68.585)
Epoch: [22][7970/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.3276 (2.5510)	Prec@1 42.000 (37.697)	Prec@5 72.500 (68.585)
Epoch: [22][7980/9018]	Time 0.604 (0.612)	Data 0.003 (0.002)	Loss 2.5488 (2.5509)	Prec@1 34.500 (37.697)	Prec@5 71.000 (68.587)
Epoch: [22][7990/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.3861 (2.5509)	Prec@1 39.000 (37.697)	Prec@5 73.000 (68.588)
Epoch: [22][8000/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.5996 (2.5509)	Prec@1 38.500 (37.697)	Prec@5 66.000 (68.588)
Epoch: [22][8010/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.6633 (2.5509)	Prec@1 35.500 (37.698)	Prec@5 65.000 (68.588)
Epoch: [22][8020/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.4734 (2.5509)	Prec@1 36.000 (37.697)	Prec@5 70.000 (68.587)
Epoch: [22][8030/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.3409 (2.5508)	Prec@1 43.000 (37.698)	Prec@5 75.000 (68.590)
Epoch: [22][8040/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5088 (2.5509)	Prec@1 35.500 (37.699)	Prec@5 69.000 (68.588)
Epoch: [22][8050/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.4273 (2.5509)	Prec@1 37.500 (37.696)	Prec@5 67.500 (68.588)
Epoch: [22][8060/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.4272 (2.5509)	Prec@1 42.000 (37.697)	Prec@5 72.500 (68.587)
Epoch: [22][8070/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.5061 (2.5509)	Prec@1 37.500 (37.696)	Prec@5 66.000 (68.586)
Epoch: [22][8080/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.3532 (2.5508)	Prec@1 41.000 (37.699)	Prec@5 72.000 (68.588)
Epoch: [22][8090/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.6105 (2.5509)	Prec@1 38.500 (37.697)	Prec@5 67.000 (68.587)
Epoch: [22][8100/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.7155 (2.5509)	Prec@1 36.500 (37.697)	Prec@5 65.500 (68.586)
Epoch: [22][8110/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5777 (2.5508)	Prec@1 37.500 (37.698)	Prec@5 67.000 (68.586)
Epoch: [22][8120/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5209 (2.5508)	Prec@1 39.500 (37.699)	Prec@5 70.500 (68.587)
Epoch: [22][8130/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.5346 (2.5508)	Prec@1 41.500 (37.699)	Prec@5 67.000 (68.587)
Epoch: [22][8140/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.4668 (2.5509)	Prec@1 41.500 (37.699)	Prec@5 68.000 (68.585)
Epoch: [22][8150/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.7247 (2.5509)	Prec@1 31.000 (37.698)	Prec@5 64.000 (68.584)
Epoch: [22][8160/9018]	Time 0.729 (0.612)	Data 0.001 (0.002)	Loss 2.2236 (2.5509)	Prec@1 44.500 (37.699)	Prec@5 75.500 (68.584)
Epoch: [22][8170/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.5827 (2.5509)	Prec@1 39.000 (37.698)	Prec@5 71.000 (68.585)
Epoch: [22][8180/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.5424 (2.5510)	Prec@1 41.000 (37.698)	Prec@5 70.000 (68.583)
Epoch: [22][8190/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.3749 (2.5510)	Prec@1 40.000 (37.697)	Prec@5 72.000 (68.580)
Epoch: [22][8200/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.4113 (2.5510)	Prec@1 44.000 (37.698)	Prec@5 72.500 (68.580)
Epoch: [22][8210/9018]	Time 0.723 (0.612)	Data 0.001 (0.002)	Loss 2.3314 (2.5510)	Prec@1 38.000 (37.697)	Prec@5 73.500 (68.580)
Epoch: [22][8220/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.5934 (2.5510)	Prec@1 35.500 (37.698)	Prec@5 69.000 (68.580)
Epoch: [22][8230/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.6313 (2.5510)	Prec@1 38.000 (37.698)	Prec@5 63.000 (68.580)
Epoch: [22][8240/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.7862 (2.5511)	Prec@1 32.500 (37.696)	Prec@5 63.000 (68.580)
Epoch: [22][8250/9018]	Time 0.620 (0.612)	Data 0.001 (0.002)	Loss 2.7296 (2.5512)	Prec@1 33.000 (37.694)	Prec@5 66.500 (68.578)
Epoch: [22][8260/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.5842 (2.5512)	Prec@1 41.500 (37.694)	Prec@5 68.000 (68.579)
Epoch: [22][8270/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.7189 (2.5512)	Prec@1 30.000 (37.694)	Prec@5 64.500 (68.579)
Epoch: [22][8280/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.5442 (2.5512)	Prec@1 37.500 (37.694)	Prec@5 72.000 (68.578)
Epoch: [22][8290/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.6934 (2.5513)	Prec@1 37.000 (37.694)	Prec@5 64.500 (68.578)
Epoch: [22][8300/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.5280 (2.5512)	Prec@1 39.500 (37.694)	Prec@5 69.000 (68.578)
Epoch: [22][8310/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.5301 (2.5512)	Prec@1 39.500 (37.695)	Prec@5 69.000 (68.578)
Epoch: [22][8320/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.6182 (2.5512)	Prec@1 35.500 (37.693)	Prec@5 68.500 (68.579)
Epoch: [22][8330/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.5718 (2.5512)	Prec@1 36.500 (37.693)	Prec@5 70.500 (68.579)
Epoch: [22][8340/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.6283 (2.5512)	Prec@1 36.500 (37.691)	Prec@5 63.500 (68.579)
Epoch: [22][8350/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.8139 (2.5513)	Prec@1 32.000 (37.689)	Prec@5 63.500 (68.579)
Epoch: [22][8360/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.7613 (2.5512)	Prec@1 32.500 (37.690)	Prec@5 66.500 (68.579)
Epoch: [22][8370/9018]	Time 0.614 (0.612)	Data 0.001 (0.002)	Loss 2.5652 (2.5512)	Prec@1 40.500 (37.691)	Prec@5 67.500 (68.579)
Epoch: [22][8380/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.6139 (2.5512)	Prec@1 37.000 (37.691)	Prec@5 68.000 (68.579)
Epoch: [22][8390/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.3214 (2.5512)	Prec@1 45.000 (37.691)	Prec@5 73.000 (68.579)
Epoch: [22][8400/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.4355 (2.5511)	Prec@1 37.500 (37.692)	Prec@5 69.500 (68.579)
Epoch: [22][8410/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 2.5791 (2.5512)	Prec@1 33.000 (37.692)	Prec@5 67.500 (68.578)
Epoch: [22][8420/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6968 (2.5512)	Prec@1 35.500 (37.692)	Prec@5 64.500 (68.576)
Epoch: [22][8430/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.5421 (2.5512)	Prec@1 36.000 (37.692)	Prec@5 70.500 (68.576)
Epoch: [22][8440/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.4720 (2.5512)	Prec@1 36.000 (37.692)	Prec@5 71.500 (68.577)
Epoch: [22][8450/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 2.5869 (2.5511)	Prec@1 34.500 (37.694)	Prec@5 68.000 (68.577)
Epoch: [22][8460/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.5338 (2.5512)	Prec@1 34.500 (37.692)	Prec@5 70.000 (68.577)
Epoch: [22][8470/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.5593 (2.5512)	Prec@1 38.500 (37.690)	Prec@5 67.500 (68.577)
Epoch: [22][8480/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.5732 (2.5512)	Prec@1 36.000 (37.691)	Prec@5 67.500 (68.578)
Epoch: [22][8490/9018]	Time 0.719 (0.612)	Data 0.001 (0.002)	Loss 2.3031 (2.5511)	Prec@1 43.500 (37.692)	Prec@5 74.500 (68.578)
Epoch: [22][8500/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4509 (2.5512)	Prec@1 36.500 (37.691)	Prec@5 73.500 (68.578)
Epoch: [22][8510/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.6082 (2.5511)	Prec@1 35.000 (37.691)	Prec@5 66.000 (68.578)
Epoch: [22][8520/9018]	Time 0.611 (0.612)	Data 0.001 (0.002)	Loss 2.5318 (2.5511)	Prec@1 36.500 (37.690)	Prec@5 69.000 (68.579)
Epoch: [22][8530/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.3864 (2.5512)	Prec@1 42.500 (37.690)	Prec@5 71.000 (68.579)
Epoch: [22][8540/9018]	Time 0.710 (0.612)	Data 0.001 (0.002)	Loss 2.5693 (2.5512)	Prec@1 42.000 (37.689)	Prec@5 68.500 (68.577)
Epoch: [22][8550/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.4912 (2.5512)	Prec@1 40.000 (37.690)	Prec@5 68.500 (68.578)
Epoch: [22][8560/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.5919 (2.5512)	Prec@1 34.500 (37.691)	Prec@5 71.500 (68.579)
Epoch: [22][8570/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.9194 (2.5513)	Prec@1 33.000 (37.689)	Prec@5 63.000 (68.579)
Epoch: [22][8580/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.4949 (2.5513)	Prec@1 40.000 (37.688)	Prec@5 72.000 (68.578)
Epoch: [22][8590/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.8169 (2.5513)	Prec@1 34.500 (37.689)	Prec@5 60.000 (68.578)
Epoch: [22][8600/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.6887 (2.5512)	Prec@1 31.500 (37.689)	Prec@5 64.500 (68.579)
Epoch: [22][8610/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.6545 (2.5513)	Prec@1 35.500 (37.688)	Prec@5 65.500 (68.578)
Epoch: [22][8620/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 2.6548 (2.5513)	Prec@1 35.500 (37.688)	Prec@5 64.000 (68.577)
Epoch: [22][8630/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4037 (2.5513)	Prec@1 43.500 (37.688)	Prec@5 68.500 (68.576)
Epoch: [22][8640/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.6096 (2.5512)	Prec@1 38.500 (37.689)	Prec@5 67.000 (68.577)
Epoch: [22][8650/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.4925 (2.5513)	Prec@1 39.500 (37.688)	Prec@5 72.500 (68.575)
Epoch: [22][8660/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.4278 (2.5514)	Prec@1 39.000 (37.687)	Prec@5 72.500 (68.573)
Epoch: [22][8670/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 2.4943 (2.5514)	Prec@1 42.000 (37.686)	Prec@5 66.500 (68.572)
Epoch: [22][8680/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 2.4279 (2.5514)	Prec@1 39.000 (37.685)	Prec@5 69.000 (68.572)
Epoch: [22][8690/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.7320 (2.5514)	Prec@1 38.500 (37.686)	Prec@5 63.000 (68.572)
Epoch: [22][8700/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.3441 (2.5515)	Prec@1 43.000 (37.686)	Prec@5 75.500 (68.572)
Epoch: [22][8710/9018]	Time 0.605 (0.613)	Data 0.001 (0.002)	Loss 2.7026 (2.5514)	Prec@1 36.500 (37.687)	Prec@5 64.000 (68.572)
Epoch: [22][8720/9018]	Time 0.603 (0.613)	Data 0.001 (0.002)	Loss 2.5670 (2.5514)	Prec@1 38.000 (37.689)	Prec@5 68.000 (68.573)
Epoch: [22][8730/9018]	Time 0.602 (0.613)	Data 0.001 (0.002)	Loss 2.8228 (2.5513)	Prec@1 33.000 (37.690)	Prec@5 63.000 (68.573)
Epoch: [22][8740/9018]	Time 0.602 (0.613)	Data 0.001 (0.002)	Loss 2.3738 (2.5512)	Prec@1 38.500 (37.692)	Prec@5 73.500 (68.575)
Epoch: [22][8750/9018]	Time 0.607 (0.613)	Data 0.001 (0.002)	Loss 2.5576 (2.5512)	Prec@1 38.500 (37.692)	Prec@5 69.000 (68.576)
Epoch: [22][8760/9018]	Time 0.607 (0.613)	Data 0.001 (0.002)	Loss 2.5263 (2.5512)	Prec@1 36.000 (37.692)	Prec@5 71.000 (68.578)
Epoch: [22][8770/9018]	Time 0.607 (0.613)	Data 0.001 (0.002)	Loss 2.6666 (2.5512)	Prec@1 40.000 (37.692)	Prec@5 63.000 (68.576)
Epoch: [22][8780/9018]	Time 0.603 (0.613)	Data 0.001 (0.002)	Loss 2.5859 (2.5512)	Prec@1 39.500 (37.692)	Prec@5 66.500 (68.575)
Epoch: [22][8790/9018]	Time 0.609 (0.613)	Data 0.001 (0.002)	Loss 2.5134 (2.5512)	Prec@1 42.000 (37.694)	Prec@5 73.000 (68.576)
Epoch: [22][8800/9018]	Time 0.611 (0.613)	Data 0.001 (0.002)	Loss 2.4379 (2.5512)	Prec@1 38.000 (37.694)	Prec@5 70.500 (68.576)
Epoch: [22][8810/9018]	Time 0.608 (0.613)	Data 0.001 (0.002)	Loss 2.6584 (2.5513)	Prec@1 37.500 (37.692)	Prec@5 66.500 (68.573)
Epoch: [22][8820/9018]	Time 0.724 (0.613)	Data 0.001 (0.002)	Loss 2.4385 (2.5514)	Prec@1 37.000 (37.690)	Prec@5 67.500 (68.572)
Epoch: [22][8830/9018]	Time 0.606 (0.613)	Data 0.001 (0.002)	Loss 2.5075 (2.5513)	Prec@1 42.000 (37.692)	Prec@5 68.500 (68.573)
Epoch: [22][8840/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 2.5832 (2.5513)	Prec@1 34.500 (37.692)	Prec@5 70.000 (68.573)
Epoch: [22][8850/9018]	Time 0.604 (0.613)	Data 0.001 (0.002)	Loss 2.6801 (2.5513)	Prec@1 32.500 (37.693)	Prec@5 69.500 (68.575)
Epoch: [22][8860/9018]	Time 0.606 (0.613)	Data 0.001 (0.002)	Loss 2.2786 (2.5512)	Prec@1 42.500 (37.693)	Prec@5 78.000 (68.577)
Epoch: [22][8870/9018]	Time 0.733 (0.613)	Data 0.001 (0.002)	Loss 2.5535 (2.5512)	Prec@1 40.500 (37.694)	Prec@5 69.000 (68.575)
Epoch: [22][8880/9018]	Time 0.605 (0.613)	Data 0.001 (0.002)	Loss 2.6459 (2.5513)	Prec@1 33.500 (37.694)	Prec@5 71.000 (68.577)
Epoch: [22][8890/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.3377 (2.5514)	Prec@1 40.000 (37.691)	Prec@5 72.000 (68.575)
Epoch: [22][8900/9018]	Time 0.599 (0.613)	Data 0.001 (0.002)	Loss 2.6909 (2.5514)	Prec@1 34.500 (37.689)	Prec@5 66.000 (68.575)
Epoch: [22][8910/9018]	Time 0.606 (0.613)	Data 0.001 (0.002)	Loss 2.7356 (2.5514)	Prec@1 31.500 (37.689)	Prec@5 64.000 (68.575)
Epoch: [22][8920/9018]	Time 0.606 (0.613)	Data 0.001 (0.002)	Loss 2.4605 (2.5514)	Prec@1 39.000 (37.688)	Prec@5 70.500 (68.574)
Epoch: [22][8930/9018]	Time 0.610 (0.613)	Data 0.001 (0.002)	Loss 2.3885 (2.5514)	Prec@1 44.000 (37.689)	Prec@5 70.500 (68.574)
Epoch: [22][8940/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.4353 (2.5514)	Prec@1 40.500 (37.687)	Prec@5 69.000 (68.573)
Epoch: [22][8950/9018]	Time 0.615 (0.613)	Data 0.001 (0.002)	Loss 2.4485 (2.5514)	Prec@1 40.000 (37.687)	Prec@5 70.500 (68.572)
Epoch: [22][8960/9018]	Time 0.602 (0.613)	Data 0.001 (0.002)	Loss 2.1961 (2.5514)	Prec@1 41.500 (37.685)	Prec@5 77.000 (68.571)
Epoch: [22][8970/9018]	Time 0.605 (0.613)	Data 0.001 (0.002)	Loss 2.8780 (2.5514)	Prec@1 31.500 (37.685)	Prec@5 63.000 (68.573)
Epoch: [22][8980/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 2.4260 (2.5514)	Prec@1 38.500 (37.684)	Prec@5 72.500 (68.574)
Epoch: [22][8990/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.7051 (2.5515)	Prec@1 33.500 (37.682)	Prec@5 67.500 (68.572)
Epoch: [22][9000/9018]	Time 0.608 (0.613)	Data 0.001 (0.002)	Loss 2.6012 (2.5515)	Prec@1 42.000 (37.682)	Prec@5 68.500 (68.571)
Epoch: [22][9010/9018]	Time 0.600 (0.613)	Data 0.000 (0.002)	Loss 2.3627 (2.5515)	Prec@1 43.000 (37.683)	Prec@5 72.500 (68.572)
Test: [0/183]	Time 1.627 (1.627)	Loss 2.5227 (2.5227)	Prec@1 37.500 (37.500)	Prec@5 68.500 (68.500)
Test: [10/183]	Time 0.185 (0.325)	Loss 2.5101 (2.3127)	Prec@1 37.500 (41.773)	Prec@5 71.000 (74.500)
Test: [20/183]	Time 0.188 (0.265)	Loss 3.2564 (2.2682)	Prec@1 19.000 (42.143)	Prec@5 51.000 (75.262)
Test: [30/183]	Time 0.189 (0.242)	Loss 2.5814 (2.3163)	Prec@1 28.000 (40.871)	Prec@5 67.000 (74.113)
Test: [40/183]	Time 0.186 (0.230)	Loss 2.8357 (2.2948)	Prec@1 28.500 (41.671)	Prec@5 62.000 (73.878)
Test: [50/183]	Time 0.275 (0.223)	Loss 1.7713 (2.2629)	Prec@1 53.000 (42.784)	Prec@5 86.000 (74.314)
Test: [60/183]	Time 0.182 (0.218)	Loss 2.5213 (2.2880)	Prec@1 39.500 (41.844)	Prec@5 70.000 (73.910)
Test: [70/183]	Time 0.185 (0.215)	Loss 2.4556 (2.2796)	Prec@1 30.000 (41.944)	Prec@5 74.000 (74.211)
Test: [80/183]	Time 0.182 (0.211)	Loss 1.5645 (2.2555)	Prec@1 58.500 (42.198)	Prec@5 89.500 (74.636)
Test: [90/183]	Time 0.183 (0.209)	Loss 2.7546 (2.2436)	Prec@1 28.000 (42.451)	Prec@5 67.000 (74.940)
Test: [100/183]	Time 0.277 (0.208)	Loss 1.0764 (2.2401)	Prec@1 71.500 (42.426)	Prec@5 91.500 (75.158)
Test: [110/183]	Time 0.195 (0.206)	Loss 0.7544 (2.2375)	Prec@1 86.000 (42.586)	Prec@5 98.000 (75.095)
Test: [120/183]	Time 0.190 (0.206)	Loss 3.1159 (2.2371)	Prec@1 23.000 (42.355)	Prec@5 53.500 (75.132)
Test: [130/183]	Time 0.188 (0.204)	Loss 4.2134 (2.2420)	Prec@1 5.500 (42.305)	Prec@5 40.000 (75.237)
Test: [140/183]	Time 0.182 (0.204)	Loss 1.8508 (2.2281)	Prec@1 53.500 (42.858)	Prec@5 80.000 (75.475)
Test: [150/183]	Time 0.277 (0.203)	Loss 0.9342 (2.2134)	Prec@1 75.500 (43.086)	Prec@5 95.500 (75.702)
Test: [160/183]	Time 0.191 (0.202)	Loss 1.7814 (2.1994)	Prec@1 53.000 (43.519)	Prec@5 79.500 (75.898)
Test: [170/183]	Time 0.194 (0.202)	Loss 2.7143 (2.2172)	Prec@1 33.000 (43.187)	Prec@5 67.500 (75.535)
Test: [180/183]	Time 0.179 (0.201)	Loss 2.6116 (2.2316)	Prec@1 30.500 (42.876)	Prec@5 72.500 (75.296)
 * Prec@1 42.890 Prec@5 75.299
Epoch: [23][0/9018]	Time 2.849 (2.849)	Data 2.126 (2.126)	Loss 2.4728 (2.4728)	Prec@1 39.500 (39.500)	Prec@5 69.500 (69.500)
Epoch: [23][10/9018]	Time 0.602 (0.808)	Data 0.001 (0.194)	Loss 2.6173 (2.5363)	Prec@1 36.000 (38.273)	Prec@5 66.500 (68.636)
Epoch: [23][20/9018]	Time 0.608 (0.716)	Data 0.001 (0.102)	Loss 2.5457 (2.5577)	Prec@1 36.000 (37.357)	Prec@5 70.000 (68.857)
Epoch: [23][30/9018]	Time 0.610 (0.681)	Data 0.001 (0.069)	Loss 2.5325 (2.5594)	Prec@1 38.500 (37.355)	Prec@5 70.000 (68.823)
Epoch: [23][40/9018]	Time 0.604 (0.666)	Data 0.001 (0.053)	Loss 2.5212 (2.5490)	Prec@1 37.500 (37.829)	Prec@5 67.000 (68.744)
Epoch: [23][50/9018]	Time 0.608 (0.657)	Data 0.001 (0.042)	Loss 2.4890 (2.5323)	Prec@1 40.000 (38.245)	Prec@5 68.500 (68.853)
Epoch: [23][60/9018]	Time 0.615 (0.649)	Data 0.001 (0.036)	Loss 2.5230 (2.5312)	Prec@1 39.000 (38.352)	Prec@5 69.500 (68.910)
Epoch: [23][70/9018]	Time 0.607 (0.645)	Data 0.001 (0.031)	Loss 2.5237 (2.5196)	Prec@1 40.000 (38.683)	Prec@5 69.000 (69.028)
Epoch: [23][80/9018]	Time 0.605 (0.640)	Data 0.001 (0.027)	Loss 2.5098 (2.5151)	Prec@1 38.000 (38.660)	Prec@5 70.500 (69.012)
Epoch: [23][90/9018]	Time 0.607 (0.638)	Data 0.001 (0.024)	Loss 2.7871 (2.5171)	Prec@1 36.500 (38.626)	Prec@5 66.500 (69.110)
Epoch: [23][100/9018]	Time 0.606 (0.636)	Data 0.001 (0.022)	Loss 2.5150 (2.5134)	Prec@1 35.500 (38.609)	Prec@5 68.000 (69.188)
Epoch: [23][110/9018]	Time 0.606 (0.633)	Data 0.001 (0.020)	Loss 2.3122 (2.5161)	Prec@1 40.500 (38.459)	Prec@5 73.500 (69.108)
Epoch: [23][120/9018]	Time 0.606 (0.632)	Data 0.001 (0.018)	Loss 2.6253 (2.5179)	Prec@1 38.000 (38.471)	Prec@5 69.000 (69.004)
Epoch: [23][130/9018]	Time 0.607 (0.630)	Data 0.001 (0.017)	Loss 2.5646 (2.5186)	Prec@1 37.500 (38.405)	Prec@5 69.500 (68.985)
Epoch: [23][140/9018]	Time 0.607 (0.629)	Data 0.001 (0.016)	Loss 2.3876 (2.5148)	Prec@1 42.500 (38.507)	Prec@5 70.000 (69.082)
Epoch: [23][150/9018]	Time 0.607 (0.628)	Data 0.001 (0.015)	Loss 2.7729 (2.5237)	Prec@1 29.000 (38.387)	Prec@5 67.000 (68.917)
Epoch: [23][160/9018]	Time 0.601 (0.627)	Data 0.001 (0.014)	Loss 2.4905 (2.5255)	Prec@1 35.500 (38.354)	Prec@5 72.500 (68.963)
Epoch: [23][170/9018]	Time 0.605 (0.626)	Data 0.001 (0.013)	Loss 2.6197 (2.5258)	Prec@1 37.000 (38.421)	Prec@5 66.000 (68.950)
Epoch: [23][180/9018]	Time 0.609 (0.625)	Data 0.001 (0.013)	Loss 2.5362 (2.5269)	Prec@1 34.500 (38.390)	Prec@5 72.500 (68.950)
Epoch: [23][190/9018]	Time 0.612 (0.625)	Data 0.001 (0.012)	Loss 2.5461 (2.5259)	Prec@1 37.500 (38.343)	Prec@5 68.500 (68.940)
Epoch: [23][200/9018]	Time 0.609 (0.625)	Data 0.001 (0.011)	Loss 2.3343 (2.5245)	Prec@1 45.000 (38.333)	Prec@5 72.500 (68.965)
Epoch: [23][210/9018]	Time 0.607 (0.624)	Data 0.001 (0.011)	Loss 2.5998 (2.5237)	Prec@1 41.500 (38.417)	Prec@5 69.500 (68.931)
Epoch: [23][220/9018]	Time 0.605 (0.623)	Data 0.001 (0.010)	Loss 2.6279 (2.5240)	Prec@1 33.000 (38.432)	Prec@5 70.000 (68.977)
Epoch: [23][230/9018]	Time 0.731 (0.623)	Data 0.001 (0.010)	Loss 2.4389 (2.5247)	Prec@1 41.500 (38.392)	Prec@5 71.000 (68.939)
Epoch: [23][240/9018]	Time 0.605 (0.622)	Data 0.001 (0.010)	Loss 2.4107 (2.5220)	Prec@1 36.000 (38.461)	Prec@5 71.000 (69.029)
Epoch: [23][250/9018]	Time 0.607 (0.622)	Data 0.001 (0.009)	Loss 2.7013 (2.5264)	Prec@1 33.500 (38.375)	Prec@5 68.500 (68.966)
Epoch: [23][260/9018]	Time 0.606 (0.622)	Data 0.001 (0.009)	Loss 2.6157 (2.5259)	Prec@1 36.500 (38.370)	Prec@5 65.500 (68.960)
Epoch: [23][270/9018]	Time 0.600 (0.621)	Data 0.001 (0.009)	Loss 2.3672 (2.5246)	Prec@1 41.000 (38.432)	Prec@5 73.000 (68.987)
Epoch: [23][280/9018]	Time 0.721 (0.621)	Data 0.001 (0.008)	Loss 2.6092 (2.5266)	Prec@1 35.000 (38.359)	Prec@5 70.500 (68.972)
Epoch: [23][290/9018]	Time 0.606 (0.621)	Data 0.001 (0.008)	Loss 2.4614 (2.5269)	Prec@1 35.500 (38.314)	Prec@5 67.000 (68.936)
Epoch: [23][300/9018]	Time 0.606 (0.621)	Data 0.001 (0.008)	Loss 2.3329 (2.5264)	Prec@1 42.000 (38.357)	Prec@5 75.000 (68.985)
Epoch: [23][310/9018]	Time 0.609 (0.620)	Data 0.001 (0.008)	Loss 2.7564 (2.5254)	Prec@1 32.500 (38.360)	Prec@5 68.000 (69.035)
Epoch: [23][320/9018]	Time 0.605 (0.620)	Data 0.001 (0.007)	Loss 2.6920 (2.5264)	Prec@1 37.000 (38.352)	Prec@5 67.500 (69.014)
Epoch: [23][330/9018]	Time 0.603 (0.620)	Data 0.001 (0.007)	Loss 2.8574 (2.5286)	Prec@1 31.500 (38.299)	Prec@5 61.500 (68.932)
Epoch: [23][340/9018]	Time 0.608 (0.620)	Data 0.001 (0.007)	Loss 2.6175 (2.5290)	Prec@1 38.500 (38.289)	Prec@5 64.000 (68.944)
Epoch: [23][350/9018]	Time 0.602 (0.620)	Data 0.001 (0.007)	Loss 2.5400 (2.5285)	Prec@1 39.000 (38.315)	Prec@5 64.000 (68.934)
Epoch: [23][360/9018]	Time 0.610 (0.619)	Data 0.001 (0.007)	Loss 2.6537 (2.5294)	Prec@1 34.500 (38.266)	Prec@5 67.500 (68.906)
Epoch: [23][370/9018]	Time 0.606 (0.619)	Data 0.001 (0.006)	Loss 2.5745 (2.5308)	Prec@1 40.000 (38.257)	Prec@5 68.000 (68.868)
Epoch: [23][380/9018]	Time 0.610 (0.619)	Data 0.001 (0.006)	Loss 2.3460 (2.5301)	Prec@1 43.000 (38.291)	Prec@5 73.500 (68.896)
Epoch: [23][390/9018]	Time 0.602 (0.619)	Data 0.001 (0.006)	Loss 2.4283 (2.5304)	Prec@1 40.500 (38.303)	Prec@5 72.000 (68.896)
Epoch: [23][400/9018]	Time 0.606 (0.619)	Data 0.001 (0.006)	Loss 2.2939 (2.5306)	Prec@1 45.500 (38.272)	Prec@5 73.000 (68.915)
Epoch: [23][410/9018]	Time 0.606 (0.618)	Data 0.001 (0.006)	Loss 2.4696 (2.5302)	Prec@1 37.500 (38.265)	Prec@5 73.500 (68.926)
Epoch: [23][420/9018]	Time 0.607 (0.618)	Data 0.001 (0.006)	Loss 2.4387 (2.5295)	Prec@1 35.000 (38.262)	Prec@5 71.000 (68.943)
Epoch: [23][430/9018]	Time 0.608 (0.618)	Data 0.001 (0.006)	Loss 2.5437 (2.5301)	Prec@1 36.500 (38.247)	Prec@5 70.000 (68.948)
Epoch: [23][440/9018]	Time 0.605 (0.618)	Data 0.001 (0.006)	Loss 2.5360 (2.5316)	Prec@1 37.000 (38.235)	Prec@5 66.500 (68.929)
Epoch: [23][450/9018]	Time 0.609 (0.618)	Data 0.001 (0.005)	Loss 2.4340 (2.5329)	Prec@1 42.000 (38.246)	Prec@5 72.000 (68.927)
Epoch: [23][460/9018]	Time 0.610 (0.618)	Data 0.001 (0.005)	Loss 2.3856 (2.5323)	Prec@1 40.500 (38.241)	Prec@5 72.000 (68.956)
Epoch: [23][470/9018]	Time 0.607 (0.618)	Data 0.001 (0.005)	Loss 2.4752 (2.5316)	Prec@1 39.500 (38.264)	Prec@5 69.000 (68.963)
Epoch: [23][480/9018]	Time 0.610 (0.618)	Data 0.001 (0.005)	Loss 2.5790 (2.5319)	Prec@1 38.000 (38.259)	Prec@5 69.000 (68.964)
Epoch: [23][490/9018]	Time 0.611 (0.618)	Data 0.001 (0.005)	Loss 2.5439 (2.5335)	Prec@1 39.500 (38.221)	Prec@5 71.000 (68.945)
Epoch: [23][500/9018]	Time 0.611 (0.618)	Data 0.001 (0.005)	Loss 2.6235 (2.5331)	Prec@1 40.000 (38.220)	Prec@5 68.000 (68.954)
Epoch: [23][510/9018]	Time 0.608 (0.617)	Data 0.001 (0.005)	Loss 2.5713 (2.5336)	Prec@1 38.500 (38.206)	Prec@5 69.500 (68.939)
Epoch: [23][520/9018]	Time 0.605 (0.617)	Data 0.001 (0.005)	Loss 2.5553 (2.5341)	Prec@1 36.000 (38.210)	Prec@5 69.500 (68.934)
Epoch: [23][530/9018]	Time 0.607 (0.617)	Data 0.001 (0.005)	Loss 2.6385 (2.5335)	Prec@1 35.500 (38.236)	Prec@5 68.500 (68.979)
Epoch: [23][540/9018]	Time 0.606 (0.617)	Data 0.001 (0.005)	Loss 2.4740 (2.5329)	Prec@1 39.000 (38.231)	Prec@5 68.500 (68.990)
Epoch: [23][550/9018]	Time 0.612 (0.617)	Data 0.001 (0.005)	Loss 2.5808 (2.5342)	Prec@1 41.500 (38.224)	Prec@5 66.000 (68.968)
Epoch: [23][560/9018]	Time 0.729 (0.617)	Data 0.001 (0.005)	Loss 2.4138 (2.5344)	Prec@1 41.000 (38.225)	Prec@5 72.000 (68.960)
Epoch: [23][570/9018]	Time 0.610 (0.617)	Data 0.001 (0.004)	Loss 2.5117 (2.5344)	Prec@1 35.500 (38.213)	Prec@5 69.000 (68.963)
Epoch: [23][580/9018]	Time 0.605 (0.617)	Data 0.001 (0.004)	Loss 2.4737 (2.5350)	Prec@1 38.500 (38.191)	Prec@5 70.500 (68.930)
Epoch: [23][590/9018]	Time 0.611 (0.617)	Data 0.001 (0.004)	Loss 2.7323 (2.5349)	Prec@1 36.500 (38.189)	Prec@5 63.500 (68.938)
Epoch: [23][600/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.4761 (2.5341)	Prec@1 37.500 (38.183)	Prec@5 68.500 (68.961)
Epoch: [23][610/9018]	Time 0.721 (0.617)	Data 0.001 (0.004)	Loss 2.4404 (2.5341)	Prec@1 44.500 (38.183)	Prec@5 69.000 (68.955)
Epoch: [23][620/9018]	Time 0.605 (0.617)	Data 0.001 (0.004)	Loss 2.2106 (2.5330)	Prec@1 43.500 (38.202)	Prec@5 75.500 (68.989)
Epoch: [23][630/9018]	Time 0.606 (0.617)	Data 0.001 (0.004)	Loss 2.4597 (2.5325)	Prec@1 42.000 (38.218)	Prec@5 70.000 (68.984)
Epoch: [23][640/9018]	Time 0.612 (0.617)	Data 0.001 (0.004)	Loss 2.3940 (2.5315)	Prec@1 46.000 (38.248)	Prec@5 76.000 (69.008)
Epoch: [23][650/9018]	Time 0.607 (0.617)	Data 0.001 (0.004)	Loss 2.9572 (2.5322)	Prec@1 28.500 (38.221)	Prec@5 60.500 (69.001)
Epoch: [23][660/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.9048 (2.5339)	Prec@1 30.000 (38.184)	Prec@5 62.500 (68.972)
Epoch: [23][670/9018]	Time 0.615 (0.617)	Data 0.001 (0.004)	Loss 2.4291 (2.5345)	Prec@1 36.000 (38.156)	Prec@5 71.500 (68.962)
Epoch: [23][680/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.5682 (2.5347)	Prec@1 37.000 (38.149)	Prec@5 67.500 (68.945)
Epoch: [23][690/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.4857 (2.5340)	Prec@1 43.000 (38.174)	Prec@5 70.500 (68.959)
Epoch: [23][700/9018]	Time 0.606 (0.617)	Data 0.001 (0.004)	Loss 2.4361 (2.5331)	Prec@1 42.000 (38.183)	Prec@5 72.000 (68.974)
Epoch: [23][710/9018]	Time 0.608 (0.617)	Data 0.001 (0.004)	Loss 2.6621 (2.5337)	Prec@1 33.500 (38.169)	Prec@5 66.000 (68.968)
Epoch: [23][720/9018]	Time 0.609 (0.616)	Data 0.001 (0.004)	Loss 2.6301 (2.5338)	Prec@1 33.500 (38.150)	Prec@5 70.500 (68.980)
Epoch: [23][730/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.4445 (2.5350)	Prec@1 38.000 (38.120)	Prec@5 69.500 (68.962)
Epoch: [23][740/9018]	Time 0.608 (0.616)	Data 0.001 (0.004)	Loss 2.4749 (2.5351)	Prec@1 36.500 (38.110)	Prec@5 69.500 (68.946)
Epoch: [23][750/9018]	Time 0.610 (0.616)	Data 0.001 (0.004)	Loss 2.2851 (2.5350)	Prec@1 40.500 (38.105)	Prec@5 76.000 (68.961)
Epoch: [23][760/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 2.5408 (2.5340)	Prec@1 35.000 (38.120)	Prec@5 62.500 (68.959)
Epoch: [23][770/9018]	Time 0.609 (0.616)	Data 0.001 (0.004)	Loss 2.6121 (2.5340)	Prec@1 39.500 (38.135)	Prec@5 67.500 (68.960)
Epoch: [23][780/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.4171 (2.5342)	Prec@1 39.000 (38.129)	Prec@5 69.000 (68.940)
Epoch: [23][790/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 2.5221 (2.5348)	Prec@1 37.000 (38.092)	Prec@5 68.000 (68.933)
Epoch: [23][800/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.7562 (2.5355)	Prec@1 33.000 (38.074)	Prec@5 63.500 (68.913)
Epoch: [23][810/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 2.6986 (2.5363)	Prec@1 37.000 (38.059)	Prec@5 67.500 (68.904)
Epoch: [23][820/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.7229 (2.5372)	Prec@1 36.500 (38.044)	Prec@5 66.500 (68.888)
Epoch: [23][830/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.6372 (2.5376)	Prec@1 34.500 (38.025)	Prec@5 68.000 (68.883)
Epoch: [23][840/9018]	Time 0.732 (0.616)	Data 0.001 (0.003)	Loss 2.6555 (2.5383)	Prec@1 33.500 (38.004)	Prec@5 67.000 (68.867)
Epoch: [23][850/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.4436 (2.5379)	Prec@1 41.000 (38.018)	Prec@5 67.500 (68.878)
Epoch: [23][860/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 2.4258 (2.5387)	Prec@1 42.000 (38.006)	Prec@5 72.000 (68.864)
Epoch: [23][870/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.3541 (2.5388)	Prec@1 37.500 (37.980)	Prec@5 69.500 (68.863)
Epoch: [23][880/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.5503 (2.5388)	Prec@1 41.000 (37.976)	Prec@5 68.000 (68.865)
Epoch: [23][890/9018]	Time 0.719 (0.616)	Data 0.001 (0.003)	Loss 2.3567 (2.5381)	Prec@1 39.500 (37.987)	Prec@5 73.500 (68.874)
Epoch: [23][900/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.5977 (2.5381)	Prec@1 34.000 (37.984)	Prec@5 66.500 (68.866)
Epoch: [23][910/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.4721 (2.5387)	Prec@1 38.000 (37.971)	Prec@5 71.000 (68.859)
Epoch: [23][920/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 2.3445 (2.5382)	Prec@1 42.000 (37.988)	Prec@5 75.000 (68.878)
Epoch: [23][930/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.3531 (2.5380)	Prec@1 47.000 (37.991)	Prec@5 71.500 (68.882)
Epoch: [23][940/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.3755 (2.5376)	Prec@1 44.500 (37.993)	Prec@5 71.500 (68.879)
Epoch: [23][950/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.8066 (2.5374)	Prec@1 32.000 (37.990)	Prec@5 64.500 (68.882)
Epoch: [23][960/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.3961 (2.5382)	Prec@1 39.000 (37.979)	Prec@5 71.500 (68.869)
Epoch: [23][970/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 2.5782 (2.5382)	Prec@1 38.500 (37.969)	Prec@5 68.000 (68.866)
Epoch: [23][980/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.3985 (2.5375)	Prec@1 43.000 (37.987)	Prec@5 73.500 (68.879)
Epoch: [23][990/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.5469 (2.5377)	Prec@1 37.500 (37.979)	Prec@5 68.000 (68.868)
Epoch: [23][1000/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.4614 (2.5376)	Prec@1 44.000 (37.993)	Prec@5 71.500 (68.875)
Epoch: [23][1010/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 2.6426 (2.5370)	Prec@1 37.000 (38.007)	Prec@5 67.500 (68.884)
Epoch: [23][1020/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.2814 (2.5367)	Prec@1 42.000 (38.007)	Prec@5 74.500 (68.892)
Epoch: [23][1030/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.4338 (2.5367)	Prec@1 37.500 (38.005)	Prec@5 74.500 (68.887)
Epoch: [23][1040/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 2.3661 (2.5361)	Prec@1 41.000 (38.016)	Prec@5 69.000 (68.895)
Epoch: [23][1050/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 2.8045 (2.5367)	Prec@1 32.500 (38.008)	Prec@5 66.500 (68.881)
Epoch: [23][1060/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.6701 (2.5367)	Prec@1 33.000 (38.011)	Prec@5 64.000 (68.874)
Epoch: [23][1070/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.4631 (2.5371)	Prec@1 38.500 (37.993)	Prec@5 72.500 (68.872)
Epoch: [23][1080/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.8110 (2.5367)	Prec@1 32.000 (38.005)	Prec@5 64.000 (68.871)
Epoch: [23][1090/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.6661 (2.5370)	Prec@1 38.000 (38.003)	Prec@5 67.000 (68.866)
Epoch: [23][1100/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.6952 (2.5375)	Prec@1 34.500 (37.999)	Prec@5 65.000 (68.849)
Epoch: [23][1110/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.6963 (2.5379)	Prec@1 35.000 (37.988)	Prec@5 66.500 (68.841)
Epoch: [23][1120/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.6828 (2.5378)	Prec@1 36.500 (37.984)	Prec@5 65.000 (68.837)
Epoch: [23][1130/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 2.4327 (2.5374)	Prec@1 39.500 (37.975)	Prec@5 68.500 (68.849)
Epoch: [23][1140/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.6970 (2.5375)	Prec@1 34.500 (37.969)	Prec@5 65.000 (68.842)
Epoch: [23][1150/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.6976 (2.5381)	Prec@1 37.000 (37.953)	Prec@5 65.500 (68.819)
Epoch: [23][1160/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 2.7716 (2.5381)	Prec@1 36.000 (37.957)	Prec@5 67.000 (68.819)
Epoch: [23][1170/9018]	Time 0.747 (0.616)	Data 0.001 (0.003)	Loss 2.5006 (2.5379)	Prec@1 39.000 (37.962)	Prec@5 68.000 (68.827)
Epoch: [23][1180/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.6684 (2.5382)	Prec@1 37.500 (37.958)	Prec@5 66.000 (68.830)
Epoch: [23][1190/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.6255 (2.5388)	Prec@1 36.500 (37.950)	Prec@5 68.500 (68.825)
Epoch: [23][1200/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.6762 (2.5390)	Prec@1 36.000 (37.955)	Prec@5 65.000 (68.821)
Epoch: [23][1210/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.4841 (2.5381)	Prec@1 37.000 (37.977)	Prec@5 69.500 (68.832)
Epoch: [23][1220/9018]	Time 0.750 (0.616)	Data 0.001 (0.003)	Loss 2.6749 (2.5384)	Prec@1 36.500 (37.974)	Prec@5 68.000 (68.828)
Epoch: [23][1230/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4765 (2.5379)	Prec@1 39.000 (37.991)	Prec@5 69.500 (68.833)
Epoch: [23][1240/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.3418 (2.5380)	Prec@1 42.000 (37.992)	Prec@5 74.000 (68.832)
Epoch: [23][1250/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4796 (2.5381)	Prec@1 41.500 (37.983)	Prec@5 67.500 (68.832)
Epoch: [23][1260/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.7363 (2.5382)	Prec@1 33.500 (37.980)	Prec@5 64.000 (68.826)
Epoch: [23][1270/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.8543 (2.5384)	Prec@1 31.000 (37.980)	Prec@5 63.000 (68.830)
Epoch: [23][1280/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.5874 (2.5382)	Prec@1 33.500 (37.973)	Prec@5 67.500 (68.831)
Epoch: [23][1290/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4845 (2.5382)	Prec@1 41.500 (37.974)	Prec@5 71.000 (68.822)
Epoch: [23][1300/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.3156 (2.5379)	Prec@1 39.000 (37.977)	Prec@5 77.500 (68.831)
Epoch: [23][1310/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.4868 (2.5375)	Prec@1 37.000 (37.989)	Prec@5 69.500 (68.837)
Epoch: [23][1320/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.5043 (2.5374)	Prec@1 35.500 (37.985)	Prec@5 71.500 (68.843)
Epoch: [23][1330/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6046 (2.5379)	Prec@1 37.000 (37.974)	Prec@5 66.000 (68.828)
Epoch: [23][1340/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.5114 (2.5387)	Prec@1 38.000 (37.953)	Prec@5 67.000 (68.809)
Epoch: [23][1350/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.6768 (2.5386)	Prec@1 35.500 (37.949)	Prec@5 64.500 (68.811)
Epoch: [23][1360/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.5036 (2.5386)	Prec@1 40.000 (37.946)	Prec@5 70.500 (68.814)
Epoch: [23][1370/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5777 (2.5391)	Prec@1 40.500 (37.933)	Prec@5 70.000 (68.805)
Epoch: [23][1380/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.4706 (2.5395)	Prec@1 39.500 (37.936)	Prec@5 68.000 (68.798)
Epoch: [23][1390/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.5757 (2.5398)	Prec@1 37.500 (37.934)	Prec@5 72.500 (68.798)
Epoch: [23][1400/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.6470 (2.5402)	Prec@1 37.000 (37.929)	Prec@5 63.500 (68.789)
Epoch: [23][1410/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.6004 (2.5402)	Prec@1 37.000 (37.933)	Prec@5 68.500 (68.787)
Epoch: [23][1420/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.6068 (2.5405)	Prec@1 33.500 (37.925)	Prec@5 69.500 (68.783)
Epoch: [23][1430/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.3203 (2.5402)	Prec@1 40.000 (37.923)	Prec@5 74.500 (68.795)
Epoch: [23][1440/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.5359 (2.5401)	Prec@1 39.000 (37.927)	Prec@5 72.000 (68.804)
Epoch: [23][1450/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7979 (2.5404)	Prec@1 31.000 (37.917)	Prec@5 64.000 (68.800)
Epoch: [23][1460/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.5393 (2.5409)	Prec@1 38.500 (37.904)	Prec@5 70.000 (68.785)
Epoch: [23][1470/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.4459 (2.5406)	Prec@1 39.000 (37.916)	Prec@5 72.500 (68.789)
Epoch: [23][1480/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.4875 (2.5406)	Prec@1 37.500 (37.911)	Prec@5 70.000 (68.796)
Epoch: [23][1490/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.2769 (2.5406)	Prec@1 41.500 (37.916)	Prec@5 78.000 (68.797)
Epoch: [23][1500/9018]	Time 0.751 (0.615)	Data 0.002 (0.002)	Loss 2.5868 (2.5410)	Prec@1 37.500 (37.913)	Prec@5 67.000 (68.783)
Epoch: [23][1510/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.3315 (2.5410)	Prec@1 36.000 (37.911)	Prec@5 72.500 (68.783)
Epoch: [23][1520/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5660 (2.5410)	Prec@1 38.500 (37.913)	Prec@5 69.500 (68.785)
Epoch: [23][1530/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4619 (2.5411)	Prec@1 35.500 (37.900)	Prec@5 76.000 (68.795)
Epoch: [23][1540/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.5116 (2.5413)	Prec@1 40.500 (37.892)	Prec@5 69.500 (68.789)
Epoch: [23][1550/9018]	Time 0.722 (0.615)	Data 0.001 (0.002)	Loss 2.5611 (2.5415)	Prec@1 42.000 (37.891)	Prec@5 68.500 (68.779)
Epoch: [23][1560/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.6862 (2.5414)	Prec@1 33.000 (37.889)	Prec@5 64.500 (68.777)
Epoch: [23][1570/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.5909 (2.5412)	Prec@1 36.500 (37.888)	Prec@5 68.500 (68.775)
Epoch: [23][1580/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4168 (2.5410)	Prec@1 40.000 (37.889)	Prec@5 68.000 (68.778)
Epoch: [23][1590/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4080 (2.5411)	Prec@1 40.000 (37.882)	Prec@5 71.000 (68.779)
Epoch: [23][1600/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.4910 (2.5409)	Prec@1 43.000 (37.882)	Prec@5 70.000 (68.777)
Epoch: [23][1610/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.3301 (2.5408)	Prec@1 39.500 (37.884)	Prec@5 71.000 (68.772)
Epoch: [23][1620/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4074 (2.5411)	Prec@1 41.000 (37.884)	Prec@5 75.000 (68.763)
Epoch: [23][1630/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5864 (2.5413)	Prec@1 36.500 (37.867)	Prec@5 67.000 (68.755)
Epoch: [23][1640/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.6129 (2.5412)	Prec@1 36.500 (37.873)	Prec@5 66.000 (68.754)
Epoch: [23][1650/9018]	Time 0.613 (0.615)	Data 0.003 (0.002)	Loss 2.5414 (2.5411)	Prec@1 37.500 (37.874)	Prec@5 68.000 (68.748)
Epoch: [23][1660/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.7470 (2.5415)	Prec@1 30.000 (37.859)	Prec@5 66.000 (68.740)
Epoch: [23][1670/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.7649 (2.5417)	Prec@1 37.000 (37.854)	Prec@5 66.500 (68.736)
Epoch: [23][1680/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.5000 (2.5421)	Prec@1 38.000 (37.835)	Prec@5 71.500 (68.729)
Epoch: [23][1690/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.5585 (2.5423)	Prec@1 36.500 (37.831)	Prec@5 67.000 (68.724)
Epoch: [23][1700/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4792 (2.5425)	Prec@1 39.000 (37.834)	Prec@5 68.000 (68.718)
Epoch: [23][1710/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.2984 (2.5428)	Prec@1 40.000 (37.819)	Prec@5 73.000 (68.712)
Epoch: [23][1720/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4035 (2.5426)	Prec@1 44.500 (37.821)	Prec@5 67.000 (68.713)
Epoch: [23][1730/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6688 (2.5430)	Prec@1 34.500 (37.811)	Prec@5 67.500 (68.712)
Epoch: [23][1740/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5969 (2.5431)	Prec@1 38.000 (37.813)	Prec@5 66.000 (68.700)
Epoch: [23][1750/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.5422 (2.5435)	Prec@1 38.000 (37.811)	Prec@5 67.500 (68.690)
Epoch: [23][1760/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.4923 (2.5435)	Prec@1 38.000 (37.807)	Prec@5 69.500 (68.685)
Epoch: [23][1770/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.5817 (2.5434)	Prec@1 38.500 (37.812)	Prec@5 67.000 (68.677)
Epoch: [23][1780/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5124 (2.5434)	Prec@1 37.500 (37.812)	Prec@5 70.500 (68.684)
Epoch: [23][1790/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.6705 (2.5435)	Prec@1 36.000 (37.805)	Prec@5 68.500 (68.685)
Epoch: [23][1800/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.7125 (2.5435)	Prec@1 34.500 (37.800)	Prec@5 62.000 (68.685)
Epoch: [23][1810/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4941 (2.5438)	Prec@1 38.500 (37.793)	Prec@5 69.500 (68.674)
Epoch: [23][1820/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.6624 (2.5439)	Prec@1 36.000 (37.786)	Prec@5 69.000 (68.676)
Epoch: [23][1830/9018]	Time 0.750 (0.615)	Data 0.001 (0.002)	Loss 2.5837 (2.5441)	Prec@1 35.500 (37.777)	Prec@5 66.500 (68.664)
Epoch: [23][1840/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5608 (2.5441)	Prec@1 37.500 (37.777)	Prec@5 71.000 (68.663)
Epoch: [23][1850/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.5583 (2.5441)	Prec@1 40.500 (37.774)	Prec@5 67.500 (68.666)
Epoch: [23][1860/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.4978 (2.5444)	Prec@1 40.000 (37.775)	Prec@5 69.000 (68.656)
Epoch: [23][1870/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5668 (2.5444)	Prec@1 34.000 (37.774)	Prec@5 69.000 (68.657)
Epoch: [23][1880/9018]	Time 0.731 (0.615)	Data 0.001 (0.002)	Loss 2.3057 (2.5444)	Prec@1 41.000 (37.771)	Prec@5 73.000 (68.654)
Epoch: [23][1890/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.9063 (2.5443)	Prec@1 30.500 (37.775)	Prec@5 61.500 (68.653)
Epoch: [23][1900/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.5828 (2.5443)	Prec@1 34.000 (37.768)	Prec@5 70.000 (68.651)
Epoch: [23][1910/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5089 (2.5441)	Prec@1 39.500 (37.780)	Prec@5 67.500 (68.654)
Epoch: [23][1920/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.7649 (2.5439)	Prec@1 30.500 (37.783)	Prec@5 63.500 (68.653)
Epoch: [23][1930/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6054 (2.5441)	Prec@1 38.000 (37.776)	Prec@5 65.500 (68.648)
Epoch: [23][1940/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.3688 (2.5439)	Prec@1 41.000 (37.776)	Prec@5 72.000 (68.652)
Epoch: [23][1950/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5787 (2.5441)	Prec@1 36.000 (37.768)	Prec@5 69.500 (68.648)
Epoch: [23][1960/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.5190 (2.5437)	Prec@1 34.000 (37.769)	Prec@5 71.500 (68.660)
Epoch: [23][1970/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.8712 (2.5437)	Prec@1 33.500 (37.772)	Prec@5 62.500 (68.665)
Epoch: [23][1980/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.3252 (2.5439)	Prec@1 46.000 (37.768)	Prec@5 74.000 (68.666)
Epoch: [23][1990/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4531 (2.5440)	Prec@1 35.500 (37.761)	Prec@5 67.500 (68.664)
Epoch: [23][2000/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4082 (2.5442)	Prec@1 37.000 (37.748)	Prec@5 72.500 (68.660)
Epoch: [23][2010/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.6133 (2.5442)	Prec@1 40.000 (37.753)	Prec@5 71.000 (68.661)
Epoch: [23][2020/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4641 (2.5440)	Prec@1 36.000 (37.765)	Prec@5 69.000 (68.663)
Epoch: [23][2030/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.4191 (2.5437)	Prec@1 37.000 (37.774)	Prec@5 70.000 (68.666)
Epoch: [23][2040/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 2.4246 (2.5433)	Prec@1 41.000 (37.779)	Prec@5 70.500 (68.671)
Epoch: [23][2050/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.4856 (2.5432)	Prec@1 41.500 (37.785)	Prec@5 67.500 (68.663)
Epoch: [23][2060/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.8628 (2.5434)	Prec@1 35.000 (37.783)	Prec@5 65.000 (68.656)
Epoch: [23][2070/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4345 (2.5436)	Prec@1 40.500 (37.780)	Prec@5 68.500 (68.655)
Epoch: [23][2080/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.3740 (2.5435)	Prec@1 38.000 (37.783)	Prec@5 70.500 (68.656)
Epoch: [23][2090/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.5970 (2.5438)	Prec@1 38.500 (37.777)	Prec@5 70.000 (68.650)
Epoch: [23][2100/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.5365 (2.5439)	Prec@1 36.500 (37.777)	Prec@5 66.500 (68.648)
Epoch: [23][2110/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.5182 (2.5443)	Prec@1 38.000 (37.769)	Prec@5 65.500 (68.644)
Epoch: [23][2120/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5488 (2.5442)	Prec@1 35.000 (37.773)	Prec@5 67.000 (68.645)
Epoch: [23][2130/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.5011 (2.5443)	Prec@1 41.000 (37.769)	Prec@5 73.000 (68.643)
Epoch: [23][2140/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.6384 (2.5444)	Prec@1 35.000 (37.763)	Prec@5 65.500 (68.645)
Epoch: [23][2150/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.5024 (2.5444)	Prec@1 42.000 (37.763)	Prec@5 71.500 (68.646)
Epoch: [23][2160/9018]	Time 0.771 (0.615)	Data 0.001 (0.002)	Loss 2.5484 (2.5444)	Prec@1 36.500 (37.757)	Prec@5 67.000 (68.643)
Epoch: [23][2170/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.5226 (2.5445)	Prec@1 36.000 (37.754)	Prec@5 68.500 (68.644)
Epoch: [23][2180/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.7956 (2.5446)	Prec@1 31.500 (37.755)	Prec@5 61.000 (68.642)
Epoch: [23][2190/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.5005 (2.5445)	Prec@1 37.500 (37.760)	Prec@5 70.500 (68.649)
Epoch: [23][2200/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4770 (2.5445)	Prec@1 36.500 (37.764)	Prec@5 73.000 (68.649)
Epoch: [23][2210/9018]	Time 0.724 (0.615)	Data 0.001 (0.002)	Loss 2.6320 (2.5444)	Prec@1 34.000 (37.767)	Prec@5 65.500 (68.651)
Epoch: [23][2220/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6195 (2.5443)	Prec@1 38.500 (37.772)	Prec@5 68.500 (68.656)
Epoch: [23][2230/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 2.4890 (2.5441)	Prec@1 39.500 (37.777)	Prec@5 69.000 (68.658)
Epoch: [23][2240/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 2.5192 (2.5439)	Prec@1 36.500 (37.783)	Prec@5 73.000 (68.670)
Epoch: [23][2250/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.4092 (2.5439)	Prec@1 39.500 (37.786)	Prec@5 72.000 (68.669)
Epoch: [23][2260/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.6486 (2.5440)	Prec@1 38.000 (37.790)	Prec@5 66.000 (68.670)
Epoch: [23][2270/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.3868 (2.5440)	Prec@1 37.500 (37.783)	Prec@5 69.000 (68.669)
Epoch: [23][2280/9018]	Time 0.587 (0.615)	Data 0.001 (0.002)	Loss 2.5104 (2.5440)	Prec@1 40.500 (37.788)	Prec@5 72.000 (68.673)
Epoch: [23][2290/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.5648 (2.5441)	Prec@1 35.000 (37.788)	Prec@5 68.500 (68.670)
Epoch: [23][2300/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.6166 (2.5439)	Prec@1 36.000 (37.792)	Prec@5 65.000 (68.671)
Epoch: [23][2310/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.5819 (2.5441)	Prec@1 40.500 (37.791)	Prec@5 66.500 (68.670)
Epoch: [23][2320/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.8123 (2.5443)	Prec@1 33.000 (37.792)	Prec@5 65.000 (68.667)
Epoch: [23][2330/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.3365 (2.5443)	Prec@1 40.500 (37.795)	Prec@5 71.000 (68.673)
Epoch: [23][2340/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.3799 (2.5440)	Prec@1 41.000 (37.794)	Prec@5 74.000 (68.675)
Epoch: [23][2350/9018]	Time 0.595 (0.615)	Data 0.005 (0.002)	Loss 2.5343 (2.5440)	Prec@1 37.000 (37.795)	Prec@5 71.000 (68.681)
Epoch: [23][2360/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.5011 (2.5438)	Prec@1 38.500 (37.799)	Prec@5 68.500 (68.681)
Epoch: [23][2370/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.5454 (2.5438)	Prec@1 34.500 (37.795)	Prec@5 69.000 (68.682)
Epoch: [23][2380/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6607 (2.5437)	Prec@1 30.500 (37.792)	Prec@5 68.500 (68.685)
Epoch: [23][2390/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.4398 (2.5438)	Prec@1 38.000 (37.791)	Prec@5 70.500 (68.683)
Epoch: [23][2400/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.9059 (2.5442)	Prec@1 31.000 (37.784)	Prec@5 62.000 (68.677)
Epoch: [23][2410/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.6312 (2.5445)	Prec@1 39.000 (37.780)	Prec@5 66.500 (68.675)
Epoch: [23][2420/9018]	Time 0.640 (0.615)	Data 0.001 (0.002)	Loss 2.5955 (2.5446)	Prec@1 37.000 (37.779)	Prec@5 70.000 (68.677)
Epoch: [23][2430/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5305 (2.5446)	Prec@1 40.000 (37.780)	Prec@5 70.500 (68.676)
Epoch: [23][2440/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4910 (2.5447)	Prec@1 35.000 (37.777)	Prec@5 70.000 (68.673)
Epoch: [23][2450/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.4785 (2.5448)	Prec@1 41.000 (37.770)	Prec@5 73.000 (68.674)
Epoch: [23][2460/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4883 (2.5447)	Prec@1 40.000 (37.773)	Prec@5 72.000 (68.678)
Epoch: [23][2470/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.5410 (2.5450)	Prec@1 39.500 (37.765)	Prec@5 69.000 (68.669)
Epoch: [23][2480/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.4807 (2.5448)	Prec@1 42.500 (37.770)	Prec@5 71.000 (68.667)
Epoch: [23][2490/9018]	Time 0.742 (0.615)	Data 0.001 (0.002)	Loss 2.4351 (2.5449)	Prec@1 41.000 (37.767)	Prec@5 69.500 (68.668)
Epoch: [23][2500/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6495 (2.5448)	Prec@1 35.500 (37.769)	Prec@5 65.500 (68.667)
Epoch: [23][2510/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.6099 (2.5448)	Prec@1 34.000 (37.767)	Prec@5 67.500 (68.667)
Epoch: [23][2520/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.6037 (2.5445)	Prec@1 37.000 (37.770)	Prec@5 68.000 (68.674)
Epoch: [23][2530/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5081 (2.5445)	Prec@1 40.000 (37.772)	Prec@5 70.000 (68.674)
Epoch: [23][2540/9018]	Time 0.738 (0.615)	Data 0.001 (0.002)	Loss 2.4053 (2.5443)	Prec@1 41.500 (37.777)	Prec@5 70.500 (68.679)
Epoch: [23][2550/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.4021 (2.5441)	Prec@1 39.000 (37.781)	Prec@5 72.000 (68.681)
Epoch: [23][2560/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7598 (2.5440)	Prec@1 34.000 (37.782)	Prec@5 61.500 (68.680)
Epoch: [23][2570/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.4323 (2.5434)	Prec@1 39.500 (37.792)	Prec@5 73.500 (68.691)
Epoch: [23][2580/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.4746 (2.5433)	Prec@1 37.500 (37.796)	Prec@5 72.500 (68.697)
Epoch: [23][2590/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.3848 (2.5435)	Prec@1 40.500 (37.794)	Prec@5 69.500 (68.693)
Epoch: [23][2600/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.8590 (2.5437)	Prec@1 36.000 (37.792)	Prec@5 62.500 (68.688)
Epoch: [23][2610/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.6392 (2.5437)	Prec@1 35.000 (37.794)	Prec@5 67.500 (68.688)
Epoch: [23][2620/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7125 (2.5434)	Prec@1 32.000 (37.796)	Prec@5 65.500 (68.694)
Epoch: [23][2630/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4771 (2.5435)	Prec@1 40.500 (37.792)	Prec@5 68.500 (68.690)
Epoch: [23][2640/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.5229 (2.5433)	Prec@1 40.500 (37.797)	Prec@5 69.500 (68.694)
Epoch: [23][2650/9018]	Time 0.637 (0.615)	Data 0.001 (0.002)	Loss 2.6296 (2.5433)	Prec@1 34.000 (37.795)	Prec@5 65.500 (68.688)
Epoch: [23][2660/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6307 (2.5439)	Prec@1 33.000 (37.783)	Prec@5 69.500 (68.683)
Epoch: [23][2670/9018]	Time 0.638 (0.615)	Data 0.001 (0.002)	Loss 2.5292 (2.5436)	Prec@1 36.500 (37.788)	Prec@5 72.000 (68.688)
Epoch: [23][2680/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6048 (2.5436)	Prec@1 32.500 (37.788)	Prec@5 66.500 (68.686)
Epoch: [23][2690/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.7390 (2.5438)	Prec@1 33.000 (37.779)	Prec@5 60.500 (68.679)
Epoch: [23][2700/9018]	Time 0.588 (0.615)	Data 0.001 (0.002)	Loss 2.5576 (2.5439)	Prec@1 35.500 (37.776)	Prec@5 71.500 (68.681)
Epoch: [23][2710/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.5786 (2.5439)	Prec@1 39.500 (37.780)	Prec@5 64.000 (68.681)
Epoch: [23][2720/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.4743 (2.5437)	Prec@1 40.500 (37.780)	Prec@5 66.500 (68.682)
Epoch: [23][2730/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.3396 (2.5436)	Prec@1 41.500 (37.782)	Prec@5 73.000 (68.683)
Epoch: [23][2740/9018]	Time 0.636 (0.615)	Data 0.001 (0.002)	Loss 2.8817 (2.5435)	Prec@1 33.500 (37.783)	Prec@5 62.000 (68.687)
Epoch: [23][2750/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5956 (2.5436)	Prec@1 39.000 (37.784)	Prec@5 67.500 (68.681)
Epoch: [23][2760/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4315 (2.5435)	Prec@1 41.500 (37.789)	Prec@5 69.000 (68.686)
Epoch: [23][2770/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.5143 (2.5433)	Prec@1 33.500 (37.786)	Prec@5 71.000 (68.689)
Epoch: [23][2780/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.5889 (2.5435)	Prec@1 39.500 (37.784)	Prec@5 65.500 (68.685)
Epoch: [23][2790/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5775 (2.5434)	Prec@1 40.000 (37.786)	Prec@5 67.000 (68.684)
Epoch: [23][2800/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4787 (2.5437)	Prec@1 41.000 (37.779)	Prec@5 68.000 (68.678)
Epoch: [23][2810/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.4733 (2.5437)	Prec@1 38.000 (37.780)	Prec@5 67.500 (68.678)
Epoch: [23][2820/9018]	Time 0.717 (0.615)	Data 0.001 (0.002)	Loss 2.4165 (2.5438)	Prec@1 40.000 (37.778)	Prec@5 71.500 (68.677)
Epoch: [23][2830/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.5042 (2.5437)	Prec@1 38.500 (37.777)	Prec@5 70.500 (68.679)
Epoch: [23][2840/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.5409 (2.5438)	Prec@1 35.000 (37.774)	Prec@5 71.000 (68.677)
Epoch: [23][2850/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.2997 (2.5440)	Prec@1 45.500 (37.773)	Prec@5 74.500 (68.676)
Epoch: [23][2860/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.5506 (2.5442)	Prec@1 36.000 (37.771)	Prec@5 70.000 (68.674)
Epoch: [23][2870/9018]	Time 0.729 (0.615)	Data 0.001 (0.002)	Loss 2.5849 (2.5439)	Prec@1 41.000 (37.776)	Prec@5 65.000 (68.677)
Epoch: [23][2880/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7938 (2.5440)	Prec@1 36.500 (37.775)	Prec@5 66.000 (68.679)
Epoch: [23][2890/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6224 (2.5438)	Prec@1 37.000 (37.778)	Prec@5 65.500 (68.681)
Epoch: [23][2900/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8218 (2.5440)	Prec@1 35.000 (37.780)	Prec@5 63.000 (68.676)
Epoch: [23][2910/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.4643 (2.5440)	Prec@1 38.500 (37.778)	Prec@5 68.000 (68.674)
Epoch: [23][2920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5466 (2.5440)	Prec@1 38.500 (37.777)	Prec@5 67.500 (68.674)
Epoch: [23][2930/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4899 (2.5437)	Prec@1 39.000 (37.785)	Prec@5 69.000 (68.680)
Epoch: [23][2940/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.3405 (2.5436)	Prec@1 40.500 (37.788)	Prec@5 71.000 (68.683)
Epoch: [23][2950/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5014 (2.5435)	Prec@1 38.500 (37.788)	Prec@5 67.000 (68.682)
Epoch: [23][2960/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4102 (2.5435)	Prec@1 47.500 (37.790)	Prec@5 72.000 (68.687)
Epoch: [23][2970/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4263 (2.5434)	Prec@1 40.000 (37.793)	Prec@5 69.500 (68.690)
Epoch: [23][2980/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6574 (2.5433)	Prec@1 31.500 (37.794)	Prec@5 68.000 (68.691)
Epoch: [23][2990/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6197 (2.5435)	Prec@1 36.500 (37.784)	Prec@5 68.500 (68.689)
Epoch: [23][3000/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6132 (2.5436)	Prec@1 38.000 (37.776)	Prec@5 67.500 (68.689)
Epoch: [23][3010/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6363 (2.5437)	Prec@1 38.500 (37.779)	Prec@5 67.000 (68.691)
Epoch: [23][3020/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5665 (2.5437)	Prec@1 35.000 (37.777)	Prec@5 66.000 (68.689)
Epoch: [23][3030/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7277 (2.5439)	Prec@1 37.000 (37.772)	Prec@5 65.500 (68.685)
Epoch: [23][3040/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7219 (2.5439)	Prec@1 36.500 (37.769)	Prec@5 63.500 (68.686)
Epoch: [23][3050/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.5307 (2.5439)	Prec@1 38.500 (37.772)	Prec@5 71.000 (68.688)
Epoch: [23][3060/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6450 (2.5439)	Prec@1 36.000 (37.769)	Prec@5 67.000 (68.688)
Epoch: [23][3070/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.5455 (2.5439)	Prec@1 34.500 (37.769)	Prec@5 70.000 (68.691)
Epoch: [23][3080/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5424 (2.5441)	Prec@1 38.000 (37.768)	Prec@5 70.500 (68.689)
Epoch: [23][3090/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2676 (2.5442)	Prec@1 47.000 (37.770)	Prec@5 73.000 (68.684)
Epoch: [23][3100/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5714 (2.5442)	Prec@1 36.500 (37.771)	Prec@5 67.000 (68.681)
Epoch: [23][3110/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5694 (2.5442)	Prec@1 37.500 (37.772)	Prec@5 66.500 (68.678)
Epoch: [23][3120/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4313 (2.5442)	Prec@1 38.500 (37.772)	Prec@5 73.000 (68.682)
Epoch: [23][3130/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7602 (2.5441)	Prec@1 30.500 (37.776)	Prec@5 67.500 (68.684)
Epoch: [23][3140/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4887 (2.5443)	Prec@1 39.000 (37.772)	Prec@5 70.000 (68.685)
Epoch: [23][3150/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.4540 (2.5444)	Prec@1 35.500 (37.772)	Prec@5 71.500 (68.678)
Epoch: [23][3160/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3884 (2.5441)	Prec@1 40.500 (37.774)	Prec@5 70.500 (68.687)
Epoch: [23][3170/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3530 (2.5442)	Prec@1 37.000 (37.770)	Prec@5 71.000 (68.683)
Epoch: [23][3180/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4855 (2.5442)	Prec@1 41.500 (37.769)	Prec@5 70.000 (68.685)
Epoch: [23][3190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4810 (2.5442)	Prec@1 36.000 (37.765)	Prec@5 69.000 (68.683)
Epoch: [23][3200/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.6316 (2.5443)	Prec@1 36.000 (37.762)	Prec@5 63.500 (68.679)
Epoch: [23][3210/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6688 (2.5444)	Prec@1 32.500 (37.757)	Prec@5 65.500 (68.679)
Epoch: [23][3220/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2131 (2.5442)	Prec@1 41.500 (37.759)	Prec@5 75.000 (68.685)
Epoch: [23][3230/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4962 (2.5443)	Prec@1 33.500 (37.753)	Prec@5 69.500 (68.682)
Epoch: [23][3240/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4986 (2.5445)	Prec@1 41.000 (37.752)	Prec@5 68.500 (68.679)
Epoch: [23][3250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7736 (2.5444)	Prec@1 37.000 (37.747)	Prec@5 63.500 (68.682)
Epoch: [23][3260/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7278 (2.5446)	Prec@1 35.000 (37.743)	Prec@5 62.500 (68.678)
Epoch: [23][3270/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4872 (2.5447)	Prec@1 36.000 (37.741)	Prec@5 69.000 (68.679)
Epoch: [23][3280/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6505 (2.5447)	Prec@1 33.500 (37.742)	Prec@5 67.000 (68.679)
Epoch: [23][3290/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5026 (2.5448)	Prec@1 44.500 (37.742)	Prec@5 69.500 (68.677)
Epoch: [23][3300/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4335 (2.5449)	Prec@1 37.000 (37.737)	Prec@5 70.500 (68.675)
Epoch: [23][3310/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.3554 (2.5449)	Prec@1 41.500 (37.738)	Prec@5 74.500 (68.676)
Epoch: [23][3320/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7551 (2.5451)	Prec@1 37.000 (37.737)	Prec@5 67.000 (68.674)
Epoch: [23][3330/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7708 (2.5453)	Prec@1 33.500 (37.730)	Prec@5 62.500 (68.670)
Epoch: [23][3340/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6311 (2.5452)	Prec@1 35.000 (37.728)	Prec@5 65.500 (68.672)
Epoch: [23][3350/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7275 (2.5455)	Prec@1 29.500 (37.724)	Prec@5 66.500 (68.665)
Epoch: [23][3360/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4700 (2.5455)	Prec@1 38.000 (37.724)	Prec@5 72.500 (68.663)
Epoch: [23][3370/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6231 (2.5454)	Prec@1 38.000 (37.725)	Prec@5 65.000 (68.664)
Epoch: [23][3380/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5165 (2.5454)	Prec@1 40.000 (37.726)	Prec@5 70.000 (68.662)
Epoch: [23][3390/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6559 (2.5453)	Prec@1 33.000 (37.729)	Prec@5 64.000 (68.664)
Epoch: [23][3400/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4877 (2.5452)	Prec@1 38.000 (37.735)	Prec@5 68.500 (68.667)
Epoch: [23][3410/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7012 (2.5452)	Prec@1 35.000 (37.733)	Prec@5 64.000 (68.666)
Epoch: [23][3420/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6593 (2.5452)	Prec@1 33.000 (37.729)	Prec@5 67.000 (68.666)
Epoch: [23][3430/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4381 (2.5453)	Prec@1 33.000 (37.729)	Prec@5 73.500 (68.666)
Epoch: [23][3440/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5071 (2.5454)	Prec@1 38.500 (37.727)	Prec@5 71.000 (68.667)
Epoch: [23][3450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6298 (2.5453)	Prec@1 36.500 (37.726)	Prec@5 65.000 (68.668)
Epoch: [23][3460/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.1835 (2.5455)	Prec@1 44.500 (37.726)	Prec@5 76.500 (68.665)
Epoch: [23][3470/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5385 (2.5454)	Prec@1 37.500 (37.729)	Prec@5 65.000 (68.664)
Epoch: [23][3480/9018]	Time 0.710 (0.615)	Data 0.001 (0.001)	Loss 2.4545 (2.5453)	Prec@1 38.000 (37.731)	Prec@5 72.000 (68.668)
Epoch: [23][3490/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.2527 (2.5453)	Prec@1 43.500 (37.729)	Prec@5 72.000 (68.666)
Epoch: [23][3500/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6892 (2.5452)	Prec@1 37.000 (37.727)	Prec@5 68.500 (68.671)
Epoch: [23][3510/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4573 (2.5453)	Prec@1 36.000 (37.725)	Prec@5 70.000 (68.669)
Epoch: [23][3520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4188 (2.5456)	Prec@1 42.000 (37.721)	Prec@5 70.000 (68.664)
Epoch: [23][3530/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.5520 (2.5457)	Prec@1 35.500 (37.720)	Prec@5 71.000 (68.662)
Epoch: [23][3540/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6316 (2.5457)	Prec@1 36.000 (37.721)	Prec@5 67.500 (68.661)
Epoch: [23][3550/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5094 (2.5456)	Prec@1 37.000 (37.723)	Prec@5 69.500 (68.665)
Epoch: [23][3560/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5927 (2.5457)	Prec@1 37.000 (37.722)	Prec@5 63.000 (68.663)
Epoch: [23][3570/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3831 (2.5456)	Prec@1 40.500 (37.722)	Prec@5 76.000 (68.662)
Epoch: [23][3580/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4900 (2.5458)	Prec@1 42.000 (37.720)	Prec@5 68.000 (68.658)
Epoch: [23][3590/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5606 (2.5458)	Prec@1 38.500 (37.721)	Prec@5 66.500 (68.659)
Epoch: [23][3600/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7282 (2.5460)	Prec@1 34.000 (37.715)	Prec@5 64.000 (68.654)
Epoch: [23][3610/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7756 (2.5462)	Prec@1 33.500 (37.713)	Prec@5 63.500 (68.652)
Epoch: [23][3620/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5236 (2.5463)	Prec@1 40.500 (37.712)	Prec@5 67.000 (68.650)
Epoch: [23][3630/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5746 (2.5462)	Prec@1 40.500 (37.715)	Prec@5 67.500 (68.652)
Epoch: [23][3640/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6851 (2.5463)	Prec@1 37.500 (37.712)	Prec@5 66.000 (68.650)
Epoch: [23][3650/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6822 (2.5463)	Prec@1 37.500 (37.712)	Prec@5 67.500 (68.649)
Epoch: [23][3660/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5685 (2.5463)	Prec@1 35.000 (37.709)	Prec@5 71.000 (68.653)
Epoch: [23][3670/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5355 (2.5463)	Prec@1 39.500 (37.712)	Prec@5 68.500 (68.652)
Epoch: [23][3680/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4998 (2.5462)	Prec@1 38.000 (37.709)	Prec@5 69.000 (68.652)
Epoch: [23][3690/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5091 (2.5463)	Prec@1 38.500 (37.710)	Prec@5 68.500 (68.651)
Epoch: [23][3700/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6806 (2.5463)	Prec@1 41.000 (37.707)	Prec@5 69.000 (68.654)
Epoch: [23][3710/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4299 (2.5462)	Prec@1 37.000 (37.705)	Prec@5 69.000 (68.657)
Epoch: [23][3720/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4692 (2.5461)	Prec@1 42.500 (37.708)	Prec@5 71.000 (68.658)
Epoch: [23][3730/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4204 (2.5462)	Prec@1 42.000 (37.710)	Prec@5 69.000 (68.660)
Epoch: [23][3740/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6551 (2.5461)	Prec@1 36.000 (37.712)	Prec@5 69.000 (68.663)
Epoch: [23][3750/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5931 (2.5461)	Prec@1 34.000 (37.714)	Prec@5 67.000 (68.660)
Epoch: [23][3760/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4647 (2.5463)	Prec@1 39.000 (37.713)	Prec@5 72.500 (68.656)
Epoch: [23][3770/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5930 (2.5462)	Prec@1 39.000 (37.722)	Prec@5 66.500 (68.654)
Epoch: [23][3780/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4975 (2.5461)	Prec@1 38.500 (37.721)	Prec@5 66.000 (68.654)
Epoch: [23][3790/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6433 (2.5461)	Prec@1 31.000 (37.721)	Prec@5 65.500 (68.653)
Epoch: [23][3800/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7018 (2.5463)	Prec@1 38.000 (37.720)	Prec@5 67.500 (68.652)
Epoch: [23][3810/9018]	Time 0.712 (0.615)	Data 0.001 (0.001)	Loss 2.4861 (2.5463)	Prec@1 37.500 (37.718)	Prec@5 70.500 (68.652)
Epoch: [23][3820/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4583 (2.5464)	Prec@1 38.500 (37.717)	Prec@5 67.000 (68.650)
Epoch: [23][3830/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6259 (2.5464)	Prec@1 35.000 (37.715)	Prec@5 66.000 (68.647)
Epoch: [23][3840/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6858 (2.5466)	Prec@1 30.000 (37.708)	Prec@5 72.000 (68.646)
Epoch: [23][3850/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5052 (2.5465)	Prec@1 40.500 (37.713)	Prec@5 72.000 (68.648)
Epoch: [23][3860/9018]	Time 0.712 (0.615)	Data 0.001 (0.001)	Loss 2.6631 (2.5467)	Prec@1 34.000 (37.708)	Prec@5 68.000 (68.647)
Epoch: [23][3870/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5763 (2.5467)	Prec@1 41.000 (37.712)	Prec@5 66.500 (68.647)
Epoch: [23][3880/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7550 (2.5468)	Prec@1 34.500 (37.712)	Prec@5 64.500 (68.642)
Epoch: [23][3890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4810 (2.5468)	Prec@1 40.000 (37.715)	Prec@5 67.000 (68.641)
Epoch: [23][3900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7228 (2.5468)	Prec@1 38.000 (37.716)	Prec@5 64.000 (68.641)
Epoch: [23][3910/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4598 (2.5468)	Prec@1 40.000 (37.718)	Prec@5 69.500 (68.639)
Epoch: [23][3920/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5251 (2.5466)	Prec@1 41.000 (37.721)	Prec@5 67.500 (68.641)
Epoch: [23][3930/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4986 (2.5465)	Prec@1 42.500 (37.724)	Prec@5 67.500 (68.645)
Epoch: [23][3940/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8312 (2.5467)	Prec@1 35.500 (37.723)	Prec@5 61.000 (68.641)
Epoch: [23][3950/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7401 (2.5466)	Prec@1 34.500 (37.724)	Prec@5 62.500 (68.643)
Epoch: [23][3960/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4550 (2.5468)	Prec@1 39.000 (37.724)	Prec@5 67.000 (68.640)
Epoch: [23][3970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5235 (2.5468)	Prec@1 38.000 (37.720)	Prec@5 68.000 (68.637)
Epoch: [23][3980/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8463 (2.5469)	Prec@1 36.000 (37.722)	Prec@5 65.000 (68.636)
Epoch: [23][3990/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.3265 (2.5468)	Prec@1 44.500 (37.723)	Prec@5 70.500 (68.637)
Epoch: [23][4000/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5128 (2.5468)	Prec@1 40.500 (37.723)	Prec@5 69.000 (68.637)
Epoch: [23][4010/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7185 (2.5469)	Prec@1 30.500 (37.720)	Prec@5 64.000 (68.634)
Epoch: [23][4020/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3929 (2.5468)	Prec@1 37.000 (37.719)	Prec@5 73.000 (68.635)
Epoch: [23][4030/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4828 (2.5468)	Prec@1 36.000 (37.721)	Prec@5 69.000 (68.635)
Epoch: [23][4040/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4954 (2.5467)	Prec@1 34.500 (37.722)	Prec@5 69.500 (68.636)
Epoch: [23][4050/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3987 (2.5466)	Prec@1 36.500 (37.723)	Prec@5 65.500 (68.638)
Epoch: [23][4060/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3861 (2.5465)	Prec@1 40.000 (37.725)	Prec@5 69.500 (68.638)
Epoch: [23][4070/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.5029 (2.5464)	Prec@1 37.500 (37.727)	Prec@5 67.500 (68.641)
Epoch: [23][4080/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4619 (2.5463)	Prec@1 36.500 (37.727)	Prec@5 70.000 (68.645)
Epoch: [23][4090/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4277 (2.5463)	Prec@1 36.500 (37.727)	Prec@5 73.000 (68.646)
Epoch: [23][4100/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5840 (2.5463)	Prec@1 40.000 (37.726)	Prec@5 67.500 (68.645)
Epoch: [23][4110/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5659 (2.5463)	Prec@1 37.000 (37.726)	Prec@5 70.000 (68.644)
Epoch: [23][4120/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6181 (2.5463)	Prec@1 32.500 (37.724)	Prec@5 69.500 (68.645)
Epoch: [23][4130/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5693 (2.5464)	Prec@1 35.500 (37.725)	Prec@5 69.000 (68.645)
Epoch: [23][4140/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.5114 (2.5463)	Prec@1 38.000 (37.729)	Prec@5 70.000 (68.648)
Epoch: [23][4150/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5044 (2.5464)	Prec@1 37.500 (37.731)	Prec@5 71.000 (68.646)
Epoch: [23][4160/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4335 (2.5463)	Prec@1 38.000 (37.733)	Prec@5 64.500 (68.647)
Epoch: [23][4170/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7150 (2.5462)	Prec@1 37.500 (37.736)	Prec@5 66.500 (68.650)
Epoch: [23][4180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4269 (2.5462)	Prec@1 37.000 (37.737)	Prec@5 70.500 (68.651)
Epoch: [23][4190/9018]	Time 0.747 (0.615)	Data 0.001 (0.001)	Loss 2.5002 (2.5461)	Prec@1 36.500 (37.736)	Prec@5 71.000 (68.655)
Epoch: [23][4200/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5034 (2.5461)	Prec@1 40.000 (37.736)	Prec@5 65.500 (68.655)
Epoch: [23][4210/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5953 (2.5461)	Prec@1 31.000 (37.732)	Prec@5 70.000 (68.656)
Epoch: [23][4220/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6485 (2.5461)	Prec@1 36.000 (37.732)	Prec@5 67.000 (68.657)
Epoch: [23][4230/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4355 (2.5461)	Prec@1 36.500 (37.736)	Prec@5 71.000 (68.658)
Epoch: [23][4240/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5164 (2.5459)	Prec@1 38.500 (37.740)	Prec@5 66.500 (68.661)
Epoch: [23][4250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4494 (2.5458)	Prec@1 41.500 (37.740)	Prec@5 68.000 (68.658)
Epoch: [23][4260/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7505 (2.5460)	Prec@1 34.500 (37.737)	Prec@5 64.500 (68.655)
Epoch: [23][4270/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3864 (2.5460)	Prec@1 37.500 (37.738)	Prec@5 73.500 (68.657)
Epoch: [23][4280/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4973 (2.5460)	Prec@1 38.000 (37.737)	Prec@5 73.000 (68.656)
Epoch: [23][4290/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6239 (2.5461)	Prec@1 33.500 (37.739)	Prec@5 67.500 (68.654)
Epoch: [23][4300/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6028 (2.5462)	Prec@1 34.000 (37.737)	Prec@5 70.500 (68.654)
Epoch: [23][4310/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4072 (2.5463)	Prec@1 39.500 (37.733)	Prec@5 70.000 (68.648)
Epoch: [23][4320/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5514 (2.5462)	Prec@1 38.000 (37.736)	Prec@5 67.500 (68.652)
Epoch: [23][4330/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4347 (2.5460)	Prec@1 38.500 (37.741)	Prec@5 74.000 (68.655)
Epoch: [23][4340/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5146 (2.5460)	Prec@1 38.000 (37.741)	Prec@5 68.500 (68.655)
Epoch: [23][4350/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4580 (2.5462)	Prec@1 38.500 (37.740)	Prec@5 68.000 (68.649)
Epoch: [23][4360/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5519 (2.5462)	Prec@1 37.000 (37.738)	Prec@5 69.000 (68.648)
Epoch: [23][4370/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7436 (2.5463)	Prec@1 31.000 (37.732)	Prec@5 63.500 (68.646)
Epoch: [23][4380/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6932 (2.5463)	Prec@1 37.000 (37.733)	Prec@5 66.500 (68.645)
Epoch: [23][4390/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5528 (2.5463)	Prec@1 36.500 (37.733)	Prec@5 64.500 (68.644)
Epoch: [23][4400/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6850 (2.5463)	Prec@1 35.500 (37.735)	Prec@5 67.500 (68.646)
Epoch: [23][4410/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6367 (2.5463)	Prec@1 36.000 (37.734)	Prec@5 64.500 (68.644)
Epoch: [23][4420/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5300 (2.5463)	Prec@1 35.500 (37.732)	Prec@5 69.000 (68.645)
Epoch: [23][4430/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6199 (2.5463)	Prec@1 37.500 (37.733)	Prec@5 71.500 (68.645)
Epoch: [23][4440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6412 (2.5463)	Prec@1 37.000 (37.734)	Prec@5 66.500 (68.644)
Epoch: [23][4450/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6903 (2.5463)	Prec@1 35.000 (37.734)	Prec@5 64.500 (68.643)
Epoch: [23][4460/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4346 (2.5464)	Prec@1 38.000 (37.733)	Prec@5 71.500 (68.643)
Epoch: [23][4470/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.5290 (2.5464)	Prec@1 36.000 (37.733)	Prec@5 68.500 (68.644)
Epoch: [23][4480/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3849 (2.5464)	Prec@1 40.000 (37.735)	Prec@5 73.500 (68.644)
Epoch: [23][4490/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5093 (2.5464)	Prec@1 38.000 (37.735)	Prec@5 70.000 (68.643)
Epoch: [23][4500/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5199 (2.5463)	Prec@1 41.000 (37.738)	Prec@5 69.500 (68.642)
Epoch: [23][4510/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4701 (2.5461)	Prec@1 38.500 (37.740)	Prec@5 70.000 (68.644)
Epoch: [23][4520/9018]	Time 0.753 (0.615)	Data 0.001 (0.001)	Loss 2.6481 (2.5461)	Prec@1 36.500 (37.739)	Prec@5 65.500 (68.648)
Epoch: [23][4530/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5415 (2.5462)	Prec@1 39.500 (37.740)	Prec@5 69.000 (68.645)
Epoch: [23][4540/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5513 (2.5462)	Prec@1 41.000 (37.737)	Prec@5 69.500 (68.645)
Epoch: [23][4550/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6722 (2.5463)	Prec@1 33.000 (37.737)	Prec@5 64.000 (68.645)
Epoch: [23][4560/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7369 (2.5465)	Prec@1 36.000 (37.733)	Prec@5 63.500 (68.642)
Epoch: [23][4570/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4361 (2.5466)	Prec@1 39.500 (37.729)	Prec@5 72.500 (68.642)
Epoch: [23][4580/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7976 (2.5467)	Prec@1 27.000 (37.728)	Prec@5 62.500 (68.642)
Epoch: [23][4590/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3675 (2.5466)	Prec@1 40.000 (37.727)	Prec@5 72.500 (68.644)
Epoch: [23][4600/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7135 (2.5466)	Prec@1 35.500 (37.726)	Prec@5 66.000 (68.645)
Epoch: [23][4610/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.2670 (2.5466)	Prec@1 44.500 (37.725)	Prec@5 71.500 (68.645)
Epoch: [23][4620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6500 (2.5466)	Prec@1 32.500 (37.726)	Prec@5 65.500 (68.646)
Epoch: [23][4630/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4391 (2.5466)	Prec@1 39.000 (37.727)	Prec@5 68.000 (68.646)
Epoch: [23][4640/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5018 (2.5467)	Prec@1 41.000 (37.726)	Prec@5 69.500 (68.645)
Epoch: [23][4650/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5453 (2.5468)	Prec@1 36.500 (37.725)	Prec@5 68.000 (68.642)
Epoch: [23][4660/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7076 (2.5467)	Prec@1 38.500 (37.728)	Prec@5 65.500 (68.644)
Epoch: [23][4670/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3930 (2.5467)	Prec@1 39.500 (37.726)	Prec@5 70.500 (68.644)
Epoch: [23][4680/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5606 (2.5467)	Prec@1 34.000 (37.728)	Prec@5 66.500 (68.643)
Epoch: [23][4690/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7056 (2.5469)	Prec@1 36.000 (37.725)	Prec@5 66.500 (68.642)
Epoch: [23][4700/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6324 (2.5469)	Prec@1 37.500 (37.726)	Prec@5 69.500 (68.642)
Epoch: [23][4710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4483 (2.5469)	Prec@1 41.000 (37.723)	Prec@5 71.500 (68.641)
Epoch: [23][4720/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5777 (2.5469)	Prec@1 34.500 (37.721)	Prec@5 66.000 (68.643)
Epoch: [23][4730/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4065 (2.5469)	Prec@1 42.000 (37.720)	Prec@5 70.500 (68.641)
Epoch: [23][4740/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4235 (2.5469)	Prec@1 41.000 (37.721)	Prec@5 69.000 (68.640)
Epoch: [23][4750/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5937 (2.5466)	Prec@1 34.500 (37.722)	Prec@5 66.500 (68.644)
Epoch: [23][4760/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4848 (2.5465)	Prec@1 37.500 (37.722)	Prec@5 67.500 (68.645)
Epoch: [23][4770/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6744 (2.5467)	Prec@1 37.500 (37.721)	Prec@5 69.500 (68.642)
Epoch: [23][4780/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5583 (2.5466)	Prec@1 39.000 (37.723)	Prec@5 67.000 (68.642)
Epoch: [23][4790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6357 (2.5468)	Prec@1 30.500 (37.719)	Prec@5 69.500 (68.640)
Epoch: [23][4800/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.7731 (2.5469)	Prec@1 34.000 (37.716)	Prec@5 65.000 (68.639)
Epoch: [23][4810/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5346 (2.5469)	Prec@1 38.000 (37.716)	Prec@5 73.000 (68.639)
Epoch: [23][4820/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4460 (2.5469)	Prec@1 41.000 (37.717)	Prec@5 66.000 (68.638)
Epoch: [23][4830/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4594 (2.5470)	Prec@1 38.000 (37.718)	Prec@5 68.500 (68.636)
Epoch: [23][4840/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3176 (2.5470)	Prec@1 43.000 (37.716)	Prec@5 72.500 (68.633)
Epoch: [23][4850/9018]	Time 0.747 (0.615)	Data 0.001 (0.001)	Loss 2.6739 (2.5471)	Prec@1 34.500 (37.716)	Prec@5 70.000 (68.633)
Epoch: [23][4860/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6651 (2.5471)	Prec@1 32.000 (37.713)	Prec@5 71.500 (68.632)
Epoch: [23][4870/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5121 (2.5469)	Prec@1 41.500 (37.714)	Prec@5 69.000 (68.638)
Epoch: [23][4880/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5674 (2.5469)	Prec@1 33.500 (37.713)	Prec@5 67.500 (68.639)
Epoch: [23][4890/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4086 (2.5467)	Prec@1 40.000 (37.716)	Prec@5 70.500 (68.641)
Epoch: [23][4900/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3983 (2.5469)	Prec@1 45.500 (37.715)	Prec@5 71.500 (68.641)
Epoch: [23][4910/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4940 (2.5470)	Prec@1 40.000 (37.713)	Prec@5 68.500 (68.639)
Epoch: [23][4920/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5231 (2.5470)	Prec@1 35.500 (37.713)	Prec@5 65.500 (68.637)
Epoch: [23][4930/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4312 (2.5470)	Prec@1 36.500 (37.710)	Prec@5 71.000 (68.637)
Epoch: [23][4940/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3332 (2.5470)	Prec@1 43.500 (37.712)	Prec@5 73.500 (68.640)
Epoch: [23][4950/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6505 (2.5470)	Prec@1 37.500 (37.713)	Prec@5 69.500 (68.638)
Epoch: [23][4960/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4570 (2.5470)	Prec@1 40.500 (37.714)	Prec@5 70.000 (68.637)
Epoch: [23][4970/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4415 (2.5471)	Prec@1 38.000 (37.715)	Prec@5 69.000 (68.636)
Epoch: [23][4980/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5259 (2.5473)	Prec@1 40.500 (37.713)	Prec@5 69.500 (68.632)
Epoch: [23][4990/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4310 (2.5472)	Prec@1 38.500 (37.714)	Prec@5 72.000 (68.635)
Epoch: [23][5000/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4652 (2.5473)	Prec@1 42.500 (37.712)	Prec@5 72.000 (68.633)
Epoch: [23][5010/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6750 (2.5472)	Prec@1 32.500 (37.714)	Prec@5 64.000 (68.635)
Epoch: [23][5020/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5748 (2.5471)	Prec@1 34.000 (37.713)	Prec@5 67.000 (68.635)
Epoch: [23][5030/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7235 (2.5472)	Prec@1 33.000 (37.712)	Prec@5 63.000 (68.632)
Epoch: [23][5040/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5090 (2.5472)	Prec@1 35.500 (37.712)	Prec@5 67.500 (68.632)
Epoch: [23][5050/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5732 (2.5473)	Prec@1 35.000 (37.709)	Prec@5 71.000 (68.631)
Epoch: [23][5060/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5814 (2.5474)	Prec@1 40.500 (37.708)	Prec@5 69.000 (68.631)
Epoch: [23][5070/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.5045 (2.5472)	Prec@1 37.000 (37.712)	Prec@5 69.500 (68.633)
Epoch: [23][5080/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5762 (2.5472)	Prec@1 37.500 (37.713)	Prec@5 70.000 (68.633)
Epoch: [23][5090/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7385 (2.5473)	Prec@1 34.000 (37.711)	Prec@5 67.000 (68.636)
Epoch: [23][5100/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6183 (2.5474)	Prec@1 37.500 (37.707)	Prec@5 66.000 (68.634)
Epoch: [23][5110/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5061 (2.5474)	Prec@1 37.000 (37.706)	Prec@5 73.000 (68.635)
Epoch: [23][5120/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4418 (2.5475)	Prec@1 36.000 (37.700)	Prec@5 73.000 (68.632)
Epoch: [23][5130/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.7270 (2.5476)	Prec@1 36.000 (37.698)	Prec@5 64.500 (68.629)
Epoch: [23][5140/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4277 (2.5476)	Prec@1 40.000 (37.698)	Prec@5 68.000 (68.628)
Epoch: [23][5150/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5348 (2.5475)	Prec@1 34.000 (37.697)	Prec@5 74.000 (68.629)
Epoch: [23][5160/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3148 (2.5477)	Prec@1 38.500 (37.696)	Prec@5 72.000 (68.629)
Epoch: [23][5170/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5558 (2.5478)	Prec@1 34.000 (37.692)	Prec@5 68.500 (68.628)
Epoch: [23][5180/9018]	Time 0.758 (0.615)	Data 0.001 (0.001)	Loss 2.5958 (2.5478)	Prec@1 34.000 (37.692)	Prec@5 71.000 (68.627)
Epoch: [23][5190/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6435 (2.5480)	Prec@1 35.500 (37.691)	Prec@5 67.500 (68.626)
Epoch: [23][5200/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6230 (2.5480)	Prec@1 34.500 (37.688)	Prec@5 67.000 (68.628)
Epoch: [23][5210/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6503 (2.5480)	Prec@1 41.000 (37.692)	Prec@5 69.500 (68.629)
Epoch: [23][5220/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4189 (2.5478)	Prec@1 40.500 (37.693)	Prec@5 67.500 (68.630)
Epoch: [23][5230/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6137 (2.5479)	Prec@1 37.500 (37.695)	Prec@5 71.000 (68.631)
Epoch: [23][5240/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5597 (2.5479)	Prec@1 37.000 (37.693)	Prec@5 67.000 (68.627)
Epoch: [23][5250/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6155 (2.5480)	Prec@1 35.500 (37.694)	Prec@5 69.000 (68.628)
Epoch: [23][5260/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5962 (2.5481)	Prec@1 36.000 (37.691)	Prec@5 68.500 (68.624)
Epoch: [23][5270/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4321 (2.5481)	Prec@1 43.500 (37.692)	Prec@5 71.500 (68.626)
Epoch: [23][5280/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4230 (2.5481)	Prec@1 41.000 (37.690)	Prec@5 73.500 (68.625)
Epoch: [23][5290/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5795 (2.5481)	Prec@1 32.500 (37.690)	Prec@5 68.000 (68.624)
Epoch: [23][5300/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5402 (2.5481)	Prec@1 41.500 (37.689)	Prec@5 66.500 (68.622)
Epoch: [23][5310/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5169 (2.5481)	Prec@1 40.000 (37.690)	Prec@5 69.500 (68.621)
Epoch: [23][5320/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.4414 (2.5480)	Prec@1 36.000 (37.690)	Prec@5 73.000 (68.623)
Epoch: [23][5330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5269 (2.5482)	Prec@1 36.000 (37.687)	Prec@5 70.000 (68.619)
Epoch: [23][5340/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6268 (2.5482)	Prec@1 37.500 (37.686)	Prec@5 67.000 (68.618)
Epoch: [23][5350/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5196 (2.5482)	Prec@1 37.500 (37.686)	Prec@5 67.000 (68.619)
Epoch: [23][5360/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7835 (2.5481)	Prec@1 31.500 (37.688)	Prec@5 66.500 (68.622)
Epoch: [23][5370/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.6059 (2.5480)	Prec@1 34.500 (37.690)	Prec@5 69.000 (68.625)
Epoch: [23][5380/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5314 (2.5482)	Prec@1 40.000 (37.688)	Prec@5 68.500 (68.621)
Epoch: [23][5390/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5041 (2.5482)	Prec@1 40.500 (37.689)	Prec@5 71.500 (68.622)
Epoch: [23][5400/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4680 (2.5482)	Prec@1 38.500 (37.688)	Prec@5 70.000 (68.622)
Epoch: [23][5410/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4836 (2.5482)	Prec@1 42.000 (37.690)	Prec@5 69.500 (68.623)
Epoch: [23][5420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5447 (2.5482)	Prec@1 36.500 (37.690)	Prec@5 65.000 (68.623)
Epoch: [23][5430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5071 (2.5481)	Prec@1 40.000 (37.694)	Prec@5 64.000 (68.624)
Epoch: [23][5440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5594 (2.5481)	Prec@1 36.000 (37.692)	Prec@5 72.500 (68.624)
Epoch: [23][5450/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6458 (2.5483)	Prec@1 35.500 (37.689)	Prec@5 68.000 (68.620)
Epoch: [23][5460/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.6184 (2.5483)	Prec@1 37.000 (37.689)	Prec@5 68.500 (68.620)
Epoch: [23][5470/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5876 (2.5483)	Prec@1 39.500 (37.691)	Prec@5 69.500 (68.620)
Epoch: [23][5480/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7119 (2.5483)	Prec@1 36.500 (37.692)	Prec@5 67.000 (68.620)
Epoch: [23][5490/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5654 (2.5483)	Prec@1 40.000 (37.693)	Prec@5 68.500 (68.622)
Epoch: [23][5500/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4941 (2.5483)	Prec@1 39.000 (37.693)	Prec@5 69.000 (68.621)
Epoch: [23][5510/9018]	Time 0.751 (0.615)	Data 0.001 (0.001)	Loss 2.5609 (2.5482)	Prec@1 37.000 (37.692)	Prec@5 69.500 (68.623)
Epoch: [23][5520/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7881 (2.5482)	Prec@1 38.500 (37.693)	Prec@5 62.000 (68.620)
Epoch: [23][5530/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6812 (2.5482)	Prec@1 37.000 (37.692)	Prec@5 64.500 (68.622)
Epoch: [23][5540/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6396 (2.5483)	Prec@1 40.500 (37.691)	Prec@5 66.500 (68.621)
Epoch: [23][5550/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2636 (2.5483)	Prec@1 47.500 (37.691)	Prec@5 73.000 (68.621)
Epoch: [23][5560/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3179 (2.5482)	Prec@1 40.000 (37.694)	Prec@5 72.000 (68.622)
Epoch: [23][5570/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6388 (2.5482)	Prec@1 35.000 (37.695)	Prec@5 64.000 (68.622)
Epoch: [23][5580/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6654 (2.5482)	Prec@1 36.000 (37.694)	Prec@5 66.000 (68.621)
Epoch: [23][5590/9018]	Time 0.646 (0.615)	Data 0.001 (0.001)	Loss 2.6615 (2.5484)	Prec@1 34.500 (37.691)	Prec@5 65.500 (68.617)
Epoch: [23][5600/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5576 (2.5485)	Prec@1 36.500 (37.688)	Prec@5 70.000 (68.614)
Epoch: [23][5610/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6898 (2.5485)	Prec@1 36.500 (37.689)	Prec@5 66.000 (68.613)
Epoch: [23][5620/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4420 (2.5486)	Prec@1 40.500 (37.688)	Prec@5 72.500 (68.612)
Epoch: [23][5630/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3982 (2.5485)	Prec@1 40.500 (37.691)	Prec@5 71.000 (68.612)
Epoch: [23][5640/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.8070 (2.5484)	Prec@1 35.500 (37.694)	Prec@5 63.500 (68.614)
Epoch: [23][5650/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3389 (2.5483)	Prec@1 36.500 (37.696)	Prec@5 74.500 (68.615)
Epoch: [23][5660/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4643 (2.5483)	Prec@1 37.000 (37.698)	Prec@5 69.500 (68.613)
Epoch: [23][5670/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7854 (2.5482)	Prec@1 28.500 (37.700)	Prec@5 65.000 (68.614)
Epoch: [23][5680/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6327 (2.5481)	Prec@1 36.000 (37.703)	Prec@5 71.000 (68.616)
Epoch: [23][5690/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2871 (2.5479)	Prec@1 43.000 (37.708)	Prec@5 76.000 (68.620)
Epoch: [23][5700/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5738 (2.5481)	Prec@1 40.000 (37.706)	Prec@5 68.500 (68.616)
Epoch: [23][5710/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7765 (2.5482)	Prec@1 35.500 (37.706)	Prec@5 63.000 (68.614)
Epoch: [23][5720/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6311 (2.5482)	Prec@1 34.000 (37.706)	Prec@5 68.000 (68.615)
Epoch: [23][5730/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7093 (2.5481)	Prec@1 34.500 (37.708)	Prec@5 65.000 (68.615)
Epoch: [23][5740/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4814 (2.5481)	Prec@1 40.000 (37.709)	Prec@5 67.500 (68.615)
Epoch: [23][5750/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.8617 (2.5482)	Prec@1 28.500 (37.706)	Prec@5 64.500 (68.614)
Epoch: [23][5760/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4044 (2.5482)	Prec@1 42.000 (37.704)	Prec@5 73.000 (68.615)
Epoch: [23][5770/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7284 (2.5484)	Prec@1 33.500 (37.700)	Prec@5 60.500 (68.611)
Epoch: [23][5780/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.5820 (2.5483)	Prec@1 37.000 (37.701)	Prec@5 67.500 (68.612)
Epoch: [23][5790/9018]	Time 0.762 (0.615)	Data 0.001 (0.001)	Loss 2.6191 (2.5483)	Prec@1 38.000 (37.704)	Prec@5 68.000 (68.612)
Epoch: [23][5800/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5126 (2.5482)	Prec@1 40.000 (37.703)	Prec@5 72.000 (68.614)
Epoch: [23][5810/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5190 (2.5483)	Prec@1 34.500 (37.699)	Prec@5 68.000 (68.615)
Epoch: [23][5820/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7086 (2.5483)	Prec@1 35.000 (37.700)	Prec@5 65.500 (68.614)
Epoch: [23][5830/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3828 (2.5484)	Prec@1 41.000 (37.699)	Prec@5 72.500 (68.614)
Epoch: [23][5840/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.7078 (2.5485)	Prec@1 32.000 (37.695)	Prec@5 67.500 (68.612)
Epoch: [23][5850/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5189 (2.5485)	Prec@1 39.500 (37.694)	Prec@5 71.000 (68.611)
Epoch: [23][5860/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6120 (2.5486)	Prec@1 39.000 (37.693)	Prec@5 70.500 (68.611)
Epoch: [23][5870/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4432 (2.5486)	Prec@1 40.500 (37.696)	Prec@5 71.000 (68.612)
Epoch: [23][5880/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5538 (2.5485)	Prec@1 36.000 (37.697)	Prec@5 68.000 (68.614)
Epoch: [23][5890/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5465 (2.5485)	Prec@1 40.000 (37.698)	Prec@5 68.000 (68.613)
Epoch: [23][5900/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2883 (2.5485)	Prec@1 41.000 (37.699)	Prec@5 72.500 (68.614)
Epoch: [23][5910/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5231 (2.5484)	Prec@1 37.500 (37.701)	Prec@5 72.500 (68.616)
Epoch: [23][5920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5581 (2.5484)	Prec@1 37.000 (37.700)	Prec@5 66.500 (68.617)
Epoch: [23][5930/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5982 (2.5485)	Prec@1 36.000 (37.699)	Prec@5 69.000 (68.616)
Epoch: [23][5940/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.2568 (2.5484)	Prec@1 39.500 (37.704)	Prec@5 73.000 (68.617)
Epoch: [23][5950/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6510 (2.5483)	Prec@1 31.500 (37.706)	Prec@5 65.500 (68.619)
Epoch: [23][5960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3082 (2.5482)	Prec@1 47.000 (37.708)	Prec@5 71.500 (68.618)
Epoch: [23][5970/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3893 (2.5482)	Prec@1 41.500 (37.707)	Prec@5 72.000 (68.618)
Epoch: [23][5980/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4523 (2.5482)	Prec@1 39.000 (37.706)	Prec@5 73.500 (68.618)
Epoch: [23][5990/9018]	Time 0.646 (0.615)	Data 0.001 (0.001)	Loss 2.5414 (2.5483)	Prec@1 42.000 (37.705)	Prec@5 70.000 (68.614)
Epoch: [23][6000/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4708 (2.5483)	Prec@1 39.500 (37.705)	Prec@5 70.500 (68.615)
Epoch: [23][6010/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6127 (2.5483)	Prec@1 32.500 (37.706)	Prec@5 69.500 (68.613)
Epoch: [23][6020/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4706 (2.5483)	Prec@1 41.000 (37.707)	Prec@5 70.000 (68.615)
Epoch: [23][6030/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6907 (2.5483)	Prec@1 32.000 (37.704)	Prec@5 66.000 (68.615)
Epoch: [23][6040/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.7913 (2.5485)	Prec@1 29.000 (37.697)	Prec@5 66.500 (68.612)
Epoch: [23][6050/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.9431 (2.5485)	Prec@1 31.500 (37.699)	Prec@5 61.500 (68.614)
Epoch: [23][6060/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7006 (2.5486)	Prec@1 38.000 (37.701)	Prec@5 67.000 (68.613)
Epoch: [23][6070/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5962 (2.5485)	Prec@1 38.500 (37.704)	Prec@5 70.000 (68.615)
Epoch: [23][6080/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.7687 (2.5485)	Prec@1 33.500 (37.704)	Prec@5 65.500 (68.616)
Epoch: [23][6090/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3839 (2.5485)	Prec@1 40.000 (37.703)	Prec@5 73.500 (68.617)
Epoch: [23][6100/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6098 (2.5484)	Prec@1 36.500 (37.703)	Prec@5 69.500 (68.619)
Epoch: [23][6110/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4177 (2.5486)	Prec@1 38.500 (37.697)	Prec@5 67.500 (68.618)
Epoch: [23][6120/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.4987 (2.5487)	Prec@1 34.000 (37.695)	Prec@5 75.000 (68.616)
Epoch: [23][6130/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6955 (2.5487)	Prec@1 36.000 (37.693)	Prec@5 65.500 (68.617)
Epoch: [23][6140/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5176 (2.5487)	Prec@1 36.500 (37.693)	Prec@5 68.000 (68.617)
Epoch: [23][6150/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4774 (2.5486)	Prec@1 41.500 (37.693)	Prec@5 67.500 (68.617)
Epoch: [23][6160/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4073 (2.5486)	Prec@1 40.000 (37.693)	Prec@5 70.500 (68.616)
Epoch: [23][6170/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 2.7204 (2.5487)	Prec@1 37.000 (37.690)	Prec@5 65.000 (68.613)
Epoch: [23][6180/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5124 (2.5486)	Prec@1 36.500 (37.690)	Prec@5 67.000 (68.615)
Epoch: [23][6190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6346 (2.5487)	Prec@1 35.500 (37.689)	Prec@5 66.500 (68.612)
Epoch: [23][6200/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4144 (2.5487)	Prec@1 40.000 (37.692)	Prec@5 71.000 (68.611)
Epoch: [23][6210/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5587 (2.5487)	Prec@1 36.000 (37.692)	Prec@5 70.500 (68.612)
Epoch: [23][6220/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5439 (2.5487)	Prec@1 38.500 (37.692)	Prec@5 67.500 (68.611)
Epoch: [23][6230/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5273 (2.5487)	Prec@1 31.000 (37.693)	Prec@5 70.500 (68.612)
Epoch: [23][6240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5180 (2.5486)	Prec@1 34.500 (37.693)	Prec@5 70.000 (68.615)
Epoch: [23][6250/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.4994 (2.5486)	Prec@1 42.000 (37.696)	Prec@5 70.500 (68.614)
Epoch: [23][6260/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5397 (2.5486)	Prec@1 37.000 (37.695)	Prec@5 72.500 (68.616)
Epoch: [23][6270/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5335 (2.5486)	Prec@1 35.000 (37.695)	Prec@5 69.500 (68.615)
Epoch: [23][6280/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.7511 (2.5485)	Prec@1 37.000 (37.695)	Prec@5 65.000 (68.618)
Epoch: [23][6290/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6658 (2.5486)	Prec@1 33.500 (37.695)	Prec@5 65.500 (68.619)
Epoch: [23][6300/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8912 (2.5487)	Prec@1 34.000 (37.692)	Prec@5 62.000 (68.615)
Epoch: [23][6310/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5011 (2.5488)	Prec@1 39.500 (37.691)	Prec@5 71.000 (68.614)
Epoch: [23][6320/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7685 (2.5490)	Prec@1 31.500 (37.690)	Prec@5 67.000 (68.612)
Epoch: [23][6330/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5831 (2.5489)	Prec@1 36.000 (37.690)	Prec@5 67.000 (68.613)
Epoch: [23][6340/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6545 (2.5489)	Prec@1 35.000 (37.688)	Prec@5 67.500 (68.614)
Epoch: [23][6350/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3206 (2.5489)	Prec@1 41.500 (37.689)	Prec@5 73.500 (68.613)
Epoch: [23][6360/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5973 (2.5490)	Prec@1 39.000 (37.689)	Prec@5 66.500 (68.612)
Epoch: [23][6370/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6955 (2.5490)	Prec@1 34.500 (37.690)	Prec@5 61.500 (68.612)
Epoch: [23][6380/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4730 (2.5489)	Prec@1 42.500 (37.694)	Prec@5 72.000 (68.614)
Epoch: [23][6390/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6352 (2.5488)	Prec@1 38.000 (37.697)	Prec@5 64.500 (68.616)
Epoch: [23][6400/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3454 (2.5488)	Prec@1 42.500 (37.698)	Prec@5 71.500 (68.618)
Epoch: [23][6410/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4100 (2.5488)	Prec@1 41.000 (37.695)	Prec@5 74.000 (68.618)
Epoch: [23][6420/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4406 (2.5489)	Prec@1 39.500 (37.696)	Prec@5 73.500 (68.618)
Epoch: [23][6430/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6754 (2.5489)	Prec@1 32.500 (37.694)	Prec@5 65.000 (68.617)
Epoch: [23][6440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4650 (2.5489)	Prec@1 38.500 (37.695)	Prec@5 70.500 (68.616)
Epoch: [23][6450/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.3923 (2.5489)	Prec@1 42.500 (37.695)	Prec@5 75.500 (68.616)
Epoch: [23][6460/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.5112 (2.5490)	Prec@1 42.500 (37.693)	Prec@5 69.000 (68.615)
Epoch: [23][6470/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7417 (2.5490)	Prec@1 31.500 (37.693)	Prec@5 66.500 (68.614)
Epoch: [23][6480/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4881 (2.5489)	Prec@1 38.500 (37.695)	Prec@5 63.000 (68.615)
Epoch: [23][6490/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6028 (2.5489)	Prec@1 37.500 (37.697)	Prec@5 70.000 (68.617)
Epoch: [23][6500/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.2281 (2.5489)	Prec@1 44.000 (37.696)	Prec@5 74.000 (68.615)
Epoch: [23][6510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6655 (2.5490)	Prec@1 37.000 (37.694)	Prec@5 66.000 (68.614)
Epoch: [23][6520/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4548 (2.5489)	Prec@1 37.500 (37.695)	Prec@5 68.500 (68.616)
Epoch: [23][6530/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5642 (2.5489)	Prec@1 38.000 (37.697)	Prec@5 69.500 (68.617)
Epoch: [23][6540/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6774 (2.5489)	Prec@1 33.500 (37.693)	Prec@5 66.000 (68.617)
Epoch: [23][6550/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4841 (2.5489)	Prec@1 39.500 (37.695)	Prec@5 67.000 (68.618)
Epoch: [23][6560/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4585 (2.5490)	Prec@1 42.000 (37.694)	Prec@5 68.000 (68.617)
Epoch: [23][6570/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5456 (2.5489)	Prec@1 35.000 (37.696)	Prec@5 65.500 (68.619)
Epoch: [23][6580/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.5816 (2.5489)	Prec@1 38.000 (37.698)	Prec@5 65.000 (68.618)
Epoch: [23][6590/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6143 (2.5489)	Prec@1 34.500 (37.697)	Prec@5 66.000 (68.618)
Epoch: [23][6600/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4656 (2.5488)	Prec@1 45.500 (37.701)	Prec@5 69.500 (68.620)
Epoch: [23][6610/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5577 (2.5488)	Prec@1 37.000 (37.699)	Prec@5 67.000 (68.618)
Epoch: [23][6620/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6761 (2.5489)	Prec@1 34.000 (37.697)	Prec@5 68.500 (68.617)
Epoch: [23][6630/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.8039 (2.5490)	Prec@1 32.000 (37.694)	Prec@5 63.000 (68.614)
Epoch: [23][6640/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6199 (2.5490)	Prec@1 34.500 (37.693)	Prec@5 66.500 (68.614)
Epoch: [23][6650/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6210 (2.5491)	Prec@1 37.500 (37.691)	Prec@5 67.500 (68.613)
Epoch: [23][6660/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5396 (2.5491)	Prec@1 41.000 (37.693)	Prec@5 70.000 (68.614)
Epoch: [23][6670/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7150 (2.5490)	Prec@1 34.000 (37.696)	Prec@5 65.000 (68.617)
Epoch: [23][6680/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6164 (2.5490)	Prec@1 36.000 (37.695)	Prec@5 65.500 (68.616)
Epoch: [23][6690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2265 (2.5490)	Prec@1 42.500 (37.695)	Prec@5 71.500 (68.614)
Epoch: [23][6700/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7872 (2.5492)	Prec@1 34.000 (37.693)	Prec@5 65.500 (68.612)
Epoch: [23][6710/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5144 (2.5492)	Prec@1 37.500 (37.693)	Prec@5 68.000 (68.611)
Epoch: [23][6720/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6072 (2.5493)	Prec@1 38.500 (37.693)	Prec@5 71.500 (68.612)
Epoch: [23][6730/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4072 (2.5492)	Prec@1 41.000 (37.693)	Prec@5 70.000 (68.612)
Epoch: [23][6740/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5987 (2.5493)	Prec@1 34.500 (37.692)	Prec@5 66.500 (68.611)
Epoch: [23][6750/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2378 (2.5492)	Prec@1 42.500 (37.695)	Prec@5 73.500 (68.612)
Epoch: [23][6760/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5729 (2.5492)	Prec@1 38.500 (37.695)	Prec@5 66.000 (68.610)
Epoch: [23][6770/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6988 (2.5493)	Prec@1 34.000 (37.696)	Prec@5 70.500 (68.611)
Epoch: [23][6780/9018]	Time 0.751 (0.615)	Data 0.001 (0.001)	Loss 2.2241 (2.5492)	Prec@1 43.500 (37.697)	Prec@5 74.000 (68.611)
Epoch: [23][6790/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3910 (2.5493)	Prec@1 44.000 (37.696)	Prec@5 71.000 (68.610)
Epoch: [23][6800/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5246 (2.5492)	Prec@1 41.000 (37.697)	Prec@5 71.000 (68.610)
Epoch: [23][6810/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4671 (2.5492)	Prec@1 42.000 (37.698)	Prec@5 68.500 (68.610)
Epoch: [23][6820/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4171 (2.5492)	Prec@1 39.500 (37.697)	Prec@5 70.000 (68.610)
Epoch: [23][6830/9018]	Time 0.772 (0.615)	Data 0.001 (0.001)	Loss 2.4199 (2.5492)	Prec@1 40.500 (37.698)	Prec@5 74.000 (68.609)
Epoch: [23][6840/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4396 (2.5492)	Prec@1 43.000 (37.700)	Prec@5 72.500 (68.612)
Epoch: [23][6850/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.2817 (2.5491)	Prec@1 44.500 (37.701)	Prec@5 73.500 (68.612)
Epoch: [23][6860/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4765 (2.5491)	Prec@1 43.500 (37.702)	Prec@5 69.000 (68.614)
Epoch: [23][6870/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5066 (2.5490)	Prec@1 39.000 (37.702)	Prec@5 67.000 (68.615)
Epoch: [23][6880/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8339 (2.5490)	Prec@1 32.500 (37.703)	Prec@5 65.500 (68.615)
Epoch: [23][6890/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5715 (2.5491)	Prec@1 36.500 (37.702)	Prec@5 72.500 (68.614)
Epoch: [23][6900/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4600 (2.5491)	Prec@1 39.000 (37.700)	Prec@5 71.000 (68.613)
Epoch: [23][6910/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6050 (2.5492)	Prec@1 39.500 (37.698)	Prec@5 66.000 (68.611)
Epoch: [23][6920/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5466 (2.5493)	Prec@1 38.500 (37.697)	Prec@5 70.000 (68.609)
Epoch: [23][6930/9018]	Time 0.656 (0.615)	Data 0.001 (0.001)	Loss 2.6699 (2.5492)	Prec@1 32.500 (37.697)	Prec@5 65.500 (68.611)
Epoch: [23][6940/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5022 (2.5492)	Prec@1 37.500 (37.699)	Prec@5 68.500 (68.611)
Epoch: [23][6950/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5273 (2.5491)	Prec@1 38.500 (37.698)	Prec@5 73.000 (68.613)
Epoch: [23][6960/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.4653 (2.5492)	Prec@1 35.500 (37.698)	Prec@5 67.500 (68.612)
Epoch: [23][6970/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4088 (2.5492)	Prec@1 43.500 (37.697)	Prec@5 68.500 (68.611)
Epoch: [23][6980/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6531 (2.5491)	Prec@1 40.000 (37.699)	Prec@5 67.500 (68.613)
Epoch: [23][6990/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6717 (2.5491)	Prec@1 38.000 (37.699)	Prec@5 69.500 (68.613)
Epoch: [23][7000/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4278 (2.5491)	Prec@1 45.000 (37.700)	Prec@5 72.000 (68.615)
Epoch: [23][7010/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6468 (2.5490)	Prec@1 32.500 (37.699)	Prec@5 67.000 (68.614)
Epoch: [23][7020/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5421 (2.5490)	Prec@1 37.000 (37.701)	Prec@5 68.500 (68.615)
Epoch: [23][7030/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5354 (2.5490)	Prec@1 36.500 (37.702)	Prec@5 69.500 (68.616)
Epoch: [23][7040/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.7620 (2.5490)	Prec@1 37.000 (37.701)	Prec@5 61.500 (68.614)
Epoch: [23][7050/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6738 (2.5491)	Prec@1 37.000 (37.701)	Prec@5 61.500 (68.613)
Epoch: [23][7060/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5099 (2.5491)	Prec@1 35.500 (37.698)	Prec@5 70.500 (68.614)
Epoch: [23][7070/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5800 (2.5491)	Prec@1 35.500 (37.699)	Prec@5 69.000 (68.614)
Epoch: [23][7080/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3522 (2.5490)	Prec@1 42.000 (37.698)	Prec@5 71.500 (68.614)
Epoch: [23][7090/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6710 (2.5490)	Prec@1 33.500 (37.698)	Prec@5 70.000 (68.614)
Epoch: [23][7100/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3809 (2.5490)	Prec@1 41.500 (37.699)	Prec@5 71.000 (68.614)
Epoch: [23][7110/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.7688 (2.5490)	Prec@1 35.500 (37.699)	Prec@5 62.500 (68.613)
Epoch: [23][7120/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4798 (2.5490)	Prec@1 37.500 (37.701)	Prec@5 72.000 (68.614)
Epoch: [23][7130/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6652 (2.5490)	Prec@1 32.500 (37.700)	Prec@5 68.000 (68.615)
Epoch: [23][7140/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3770 (2.5490)	Prec@1 39.500 (37.698)	Prec@5 72.500 (68.613)
Epoch: [23][7150/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4145 (2.5491)	Prec@1 37.000 (37.695)	Prec@5 71.500 (68.612)
Epoch: [23][7160/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.5551 (2.5491)	Prec@1 39.500 (37.695)	Prec@5 68.500 (68.612)
Epoch: [23][7170/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.3096 (2.5491)	Prec@1 42.000 (37.694)	Prec@5 75.000 (68.612)
Epoch: [23][7180/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4987 (2.5491)	Prec@1 37.000 (37.694)	Prec@5 67.500 (68.611)
Epoch: [23][7190/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6829 (2.5491)	Prec@1 32.500 (37.695)	Prec@5 65.000 (68.611)
Epoch: [23][7200/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6607 (2.5492)	Prec@1 31.500 (37.693)	Prec@5 64.500 (68.609)
Epoch: [23][7210/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6048 (2.5491)	Prec@1 40.000 (37.693)	Prec@5 67.500 (68.610)
Epoch: [23][7220/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5208 (2.5491)	Prec@1 38.000 (37.694)	Prec@5 70.000 (68.611)
Epoch: [23][7230/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5408 (2.5492)	Prec@1 41.000 (37.694)	Prec@5 67.500 (68.609)
Epoch: [23][7240/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4472 (2.5491)	Prec@1 39.000 (37.695)	Prec@5 73.000 (68.609)
Epoch: [23][7250/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5697 (2.5492)	Prec@1 37.000 (37.692)	Prec@5 67.000 (68.607)
Epoch: [23][7260/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5815 (2.5492)	Prec@1 39.500 (37.693)	Prec@5 69.000 (68.608)
Epoch: [23][7270/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6861 (2.5491)	Prec@1 35.000 (37.695)	Prec@5 68.500 (68.609)
Epoch: [23][7280/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5522 (2.5491)	Prec@1 39.500 (37.696)	Prec@5 67.500 (68.610)
Epoch: [23][7290/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.4909 (2.5491)	Prec@1 36.000 (37.697)	Prec@5 71.000 (68.610)
Epoch: [23][7300/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.5130 (2.5491)	Prec@1 37.500 (37.698)	Prec@5 70.000 (68.610)
Epoch: [23][7310/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3275 (2.5491)	Prec@1 43.000 (37.698)	Prec@5 73.500 (68.610)
Epoch: [23][7320/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4624 (2.5491)	Prec@1 36.500 (37.697)	Prec@5 68.500 (68.611)
Epoch: [23][7330/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6434 (2.5491)	Prec@1 35.000 (37.695)	Prec@5 66.000 (68.609)
Epoch: [23][7340/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5036 (2.5491)	Prec@1 37.500 (37.694)	Prec@5 67.000 (68.610)
Epoch: [23][7350/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5568 (2.5491)	Prec@1 39.000 (37.694)	Prec@5 68.500 (68.611)
Epoch: [23][7360/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5770 (2.5490)	Prec@1 37.000 (37.696)	Prec@5 66.000 (68.611)
Epoch: [23][7370/9018]	Time 0.650 (0.615)	Data 0.001 (0.001)	Loss 2.4711 (2.5491)	Prec@1 38.500 (37.694)	Prec@5 68.000 (68.609)
Epoch: [23][7380/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3890 (2.5490)	Prec@1 40.000 (37.694)	Prec@5 73.000 (68.611)
Epoch: [23][7390/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6357 (2.5491)	Prec@1 39.500 (37.695)	Prec@5 63.000 (68.611)
Epoch: [23][7400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6265 (2.5490)	Prec@1 40.500 (37.697)	Prec@5 65.000 (68.611)
Epoch: [23][7410/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2951 (2.5491)	Prec@1 43.500 (37.695)	Prec@5 73.500 (68.612)
Epoch: [23][7420/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5442 (2.5490)	Prec@1 37.500 (37.696)	Prec@5 65.500 (68.613)
Epoch: [23][7430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6994 (2.5490)	Prec@1 34.000 (37.697)	Prec@5 62.000 (68.613)
Epoch: [23][7440/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.4522 (2.5489)	Prec@1 35.000 (37.697)	Prec@5 72.000 (68.614)
Epoch: [23][7450/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.7386 (2.5489)	Prec@1 36.000 (37.698)	Prec@5 62.000 (68.613)
Epoch: [23][7460/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3825 (2.5489)	Prec@1 40.500 (37.699)	Prec@5 72.000 (68.612)
Epoch: [23][7470/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.8323 (2.5490)	Prec@1 34.000 (37.698)	Prec@5 63.000 (68.611)
Epoch: [23][7480/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4074 (2.5489)	Prec@1 40.500 (37.699)	Prec@5 71.500 (68.614)
Epoch: [23][7490/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.3171 (2.5488)	Prec@1 44.500 (37.702)	Prec@5 71.500 (68.616)
Epoch: [23][7500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4598 (2.5487)	Prec@1 41.500 (37.704)	Prec@5 71.500 (68.618)
Epoch: [23][7510/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7241 (2.5488)	Prec@1 32.000 (37.701)	Prec@5 64.500 (68.616)
Epoch: [23][7520/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5934 (2.5487)	Prec@1 39.500 (37.702)	Prec@5 69.500 (68.619)
Epoch: [23][7530/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6196 (2.5488)	Prec@1 38.500 (37.702)	Prec@5 67.000 (68.618)
Epoch: [23][7540/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6946 (2.5488)	Prec@1 37.000 (37.704)	Prec@5 63.000 (68.619)
Epoch: [23][7550/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6857 (2.5488)	Prec@1 35.500 (37.703)	Prec@5 71.500 (68.620)
Epoch: [23][7560/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7425 (2.5488)	Prec@1 34.000 (37.701)	Prec@5 63.000 (68.619)
Epoch: [23][7570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4622 (2.5489)	Prec@1 40.500 (37.702)	Prec@5 65.000 (68.618)
Epoch: [23][7580/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.7901 (2.5490)	Prec@1 34.000 (37.699)	Prec@5 64.000 (68.616)
Epoch: [23][7590/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4125 (2.5489)	Prec@1 38.000 (37.699)	Prec@5 73.500 (68.617)
Epoch: [23][7600/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6464 (2.5490)	Prec@1 36.000 (37.699)	Prec@5 66.000 (68.615)
Epoch: [23][7610/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5890 (2.5491)	Prec@1 35.000 (37.697)	Prec@5 69.000 (68.613)
Epoch: [23][7620/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5091 (2.5491)	Prec@1 38.000 (37.695)	Prec@5 69.000 (68.612)
Epoch: [23][7630/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4242 (2.5491)	Prec@1 38.000 (37.697)	Prec@5 73.000 (68.613)
Epoch: [23][7640/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8616 (2.5492)	Prec@1 34.000 (37.696)	Prec@5 59.000 (68.612)
Epoch: [23][7650/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7178 (2.5492)	Prec@1 32.500 (37.696)	Prec@5 67.000 (68.612)
Epoch: [23][7660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4283 (2.5491)	Prec@1 34.500 (37.697)	Prec@5 70.500 (68.613)
Epoch: [23][7670/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8378 (2.5490)	Prec@1 29.500 (37.697)	Prec@5 62.500 (68.613)
Epoch: [23][7680/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5666 (2.5490)	Prec@1 36.000 (37.698)	Prec@5 68.500 (68.614)
Epoch: [23][7690/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4268 (2.5490)	Prec@1 41.000 (37.698)	Prec@5 68.500 (68.613)
Epoch: [23][7700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4552 (2.5490)	Prec@1 37.000 (37.698)	Prec@5 71.500 (68.614)
Epoch: [23][7710/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4296 (2.5489)	Prec@1 40.500 (37.700)	Prec@5 68.500 (68.613)
Epoch: [23][7720/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4744 (2.5489)	Prec@1 38.500 (37.702)	Prec@5 68.500 (68.614)
Epoch: [23][7730/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7650 (2.5490)	Prec@1 33.000 (37.697)	Prec@5 62.000 (68.611)
Epoch: [23][7740/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5717 (2.5491)	Prec@1 39.000 (37.694)	Prec@5 71.000 (68.611)
Epoch: [23][7750/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6070 (2.5492)	Prec@1 37.500 (37.693)	Prec@5 67.000 (68.610)
Epoch: [23][7760/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6364 (2.5492)	Prec@1 35.500 (37.692)	Prec@5 60.500 (68.609)
Epoch: [23][7770/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.5816 (2.5492)	Prec@1 40.500 (37.692)	Prec@5 71.000 (68.610)
Epoch: [23][7780/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4348 (2.5491)	Prec@1 38.000 (37.693)	Prec@5 71.000 (68.610)
Epoch: [23][7790/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6954 (2.5492)	Prec@1 32.500 (37.692)	Prec@5 69.000 (68.611)
Epoch: [23][7800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5903 (2.5491)	Prec@1 35.500 (37.691)	Prec@5 67.500 (68.612)
Epoch: [23][7810/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4928 (2.5491)	Prec@1 36.500 (37.692)	Prec@5 69.000 (68.614)
Epoch: [23][7820/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.6040 (2.5491)	Prec@1 33.000 (37.692)	Prec@5 66.500 (68.612)
Epoch: [23][7830/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2996 (2.5490)	Prec@1 45.000 (37.691)	Prec@5 73.500 (68.613)
Epoch: [23][7840/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4685 (2.5489)	Prec@1 41.500 (37.692)	Prec@5 68.500 (68.613)
Epoch: [23][7850/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5906 (2.5490)	Prec@1 40.000 (37.694)	Prec@5 68.000 (68.614)
Epoch: [23][7860/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5582 (2.5489)	Prec@1 37.000 (37.694)	Prec@5 70.000 (68.614)
Epoch: [23][7870/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5683 (2.5489)	Prec@1 37.500 (37.695)	Prec@5 67.000 (68.616)
Epoch: [23][7880/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6282 (2.5489)	Prec@1 39.000 (37.695)	Prec@5 65.500 (68.615)
Epoch: [23][7890/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7372 (2.5489)	Prec@1 35.500 (37.696)	Prec@5 66.000 (68.614)
Epoch: [23][7900/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4041 (2.5488)	Prec@1 45.000 (37.699)	Prec@5 69.500 (68.616)
Epoch: [23][7910/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5013 (2.5488)	Prec@1 39.000 (37.700)	Prec@5 69.000 (68.615)
Epoch: [23][7920/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4240 (2.5488)	Prec@1 41.500 (37.701)	Prec@5 70.500 (68.615)
Epoch: [23][7930/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4924 (2.5488)	Prec@1 40.000 (37.699)	Prec@5 71.000 (68.614)
Epoch: [23][7940/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4925 (2.5488)	Prec@1 43.500 (37.700)	Prec@5 70.000 (68.615)
Epoch: [23][7950/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4812 (2.5489)	Prec@1 37.000 (37.697)	Prec@5 70.500 (68.614)
Epoch: [23][7960/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5185 (2.5489)	Prec@1 39.000 (37.695)	Prec@5 73.500 (68.612)
Epoch: [23][7970/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4096 (2.5489)	Prec@1 41.000 (37.696)	Prec@5 72.500 (68.611)
Epoch: [23][7980/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5942 (2.5491)	Prec@1 38.000 (37.694)	Prec@5 68.500 (68.610)
Epoch: [23][7990/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6033 (2.5490)	Prec@1 36.000 (37.695)	Prec@5 65.500 (68.611)
Epoch: [23][8000/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6112 (2.5490)	Prec@1 36.500 (37.694)	Prec@5 64.000 (68.610)
Epoch: [23][8010/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.8591 (2.5491)	Prec@1 34.000 (37.692)	Prec@5 62.000 (68.609)
Epoch: [23][8020/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4150 (2.5491)	Prec@1 43.000 (37.693)	Prec@5 73.000 (68.610)
Epoch: [23][8030/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4555 (2.5491)	Prec@1 41.000 (37.692)	Prec@5 67.500 (68.610)
Epoch: [23][8040/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4197 (2.5490)	Prec@1 40.000 (37.694)	Prec@5 73.000 (68.611)
Epoch: [23][8050/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6052 (2.5490)	Prec@1 39.000 (37.694)	Prec@5 67.500 (68.612)
Epoch: [23][8060/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4683 (2.5490)	Prec@1 41.500 (37.695)	Prec@5 71.000 (68.612)
Epoch: [23][8070/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6028 (2.5491)	Prec@1 34.000 (37.693)	Prec@5 68.000 (68.611)
Epoch: [23][8080/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7037 (2.5492)	Prec@1 34.500 (37.694)	Prec@5 69.500 (68.610)
Epoch: [23][8090/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4755 (2.5491)	Prec@1 40.000 (37.694)	Prec@5 71.500 (68.612)
Epoch: [23][8100/9018]	Time 0.712 (0.615)	Data 0.001 (0.001)	Loss 2.4895 (2.5492)	Prec@1 37.500 (37.693)	Prec@5 71.000 (68.610)
Epoch: [23][8110/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6732 (2.5492)	Prec@1 35.000 (37.693)	Prec@5 67.500 (68.611)
Epoch: [23][8120/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5530 (2.5492)	Prec@1 42.500 (37.693)	Prec@5 69.500 (68.612)
Epoch: [23][8130/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.7458 (2.5492)	Prec@1 31.000 (37.691)	Prec@5 63.000 (68.610)
Epoch: [23][8140/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5910 (2.5492)	Prec@1 37.000 (37.690)	Prec@5 70.500 (68.610)
Epoch: [23][8150/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.4171 (2.5493)	Prec@1 42.500 (37.691)	Prec@5 71.500 (68.608)
Epoch: [23][8160/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4674 (2.5494)	Prec@1 38.000 (37.690)	Prec@5 71.500 (68.608)
Epoch: [23][8170/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6981 (2.5495)	Prec@1 33.000 (37.688)	Prec@5 66.000 (68.605)
Epoch: [23][8180/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6865 (2.5495)	Prec@1 36.000 (37.686)	Prec@5 65.500 (68.604)
Epoch: [23][8190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2822 (2.5495)	Prec@1 47.000 (37.687)	Prec@5 71.500 (68.603)
Epoch: [23][8200/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5894 (2.5495)	Prec@1 36.500 (37.687)	Prec@5 68.000 (68.605)
Epoch: [23][8210/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5978 (2.5494)	Prec@1 38.500 (37.688)	Prec@5 67.000 (68.605)
Epoch: [23][8220/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5924 (2.5495)	Prec@1 35.500 (37.687)	Prec@5 70.000 (68.605)
Epoch: [23][8230/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5173 (2.5495)	Prec@1 36.500 (37.686)	Prec@5 72.500 (68.605)
Epoch: [23][8240/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3909 (2.5495)	Prec@1 37.000 (37.687)	Prec@5 71.000 (68.606)
Epoch: [23][8250/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6137 (2.5494)	Prec@1 35.500 (37.686)	Prec@5 67.000 (68.607)
Epoch: [23][8260/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6786 (2.5494)	Prec@1 33.500 (37.686)	Prec@5 67.000 (68.606)
Epoch: [23][8270/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7059 (2.5494)	Prec@1 36.500 (37.686)	Prec@5 69.000 (68.607)
Epoch: [23][8280/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7150 (2.5494)	Prec@1 30.500 (37.686)	Prec@5 67.000 (68.606)
Epoch: [23][8290/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5398 (2.5495)	Prec@1 36.000 (37.684)	Prec@5 70.000 (68.603)
Epoch: [23][8300/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6663 (2.5496)	Prec@1 42.500 (37.683)	Prec@5 65.500 (68.602)
Epoch: [23][8310/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3368 (2.5495)	Prec@1 43.500 (37.687)	Prec@5 72.000 (68.605)
Epoch: [23][8320/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4166 (2.5495)	Prec@1 41.500 (37.686)	Prec@5 72.500 (68.606)
Epoch: [23][8330/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3813 (2.5494)	Prec@1 39.000 (37.686)	Prec@5 73.500 (68.607)
Epoch: [23][8340/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6427 (2.5495)	Prec@1 34.500 (37.685)	Prec@5 67.000 (68.606)
Epoch: [23][8350/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5281 (2.5497)	Prec@1 39.000 (37.683)	Prec@5 68.000 (68.602)
Epoch: [23][8360/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4947 (2.5497)	Prec@1 41.000 (37.683)	Prec@5 70.500 (68.603)
Epoch: [23][8370/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5528 (2.5497)	Prec@1 41.500 (37.684)	Prec@5 66.000 (68.604)
Epoch: [23][8380/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.8447 (2.5497)	Prec@1 34.000 (37.682)	Prec@5 58.500 (68.601)
Epoch: [23][8390/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6938 (2.5498)	Prec@1 34.000 (37.681)	Prec@5 64.000 (68.600)
Epoch: [23][8400/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4296 (2.5498)	Prec@1 39.000 (37.680)	Prec@5 72.000 (68.599)
Epoch: [23][8410/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5576 (2.5498)	Prec@1 38.500 (37.681)	Prec@5 64.500 (68.598)
Epoch: [23][8420/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5867 (2.5498)	Prec@1 32.500 (37.680)	Prec@5 68.500 (68.597)
Epoch: [23][8430/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.4494 (2.5498)	Prec@1 40.500 (37.680)	Prec@5 67.000 (68.598)
Epoch: [23][8440/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5351 (2.5498)	Prec@1 39.500 (37.680)	Prec@5 71.000 (68.600)
Epoch: [23][8450/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6072 (2.5498)	Prec@1 36.500 (37.679)	Prec@5 67.000 (68.599)
Epoch: [23][8460/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5702 (2.5498)	Prec@1 35.500 (37.678)	Prec@5 70.000 (68.599)
Epoch: [23][8470/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6284 (2.5499)	Prec@1 38.000 (37.677)	Prec@5 66.500 (68.597)
Epoch: [23][8480/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.6064 (2.5498)	Prec@1 37.000 (37.680)	Prec@5 68.000 (68.597)
Epoch: [23][8490/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5104 (2.5498)	Prec@1 35.500 (37.679)	Prec@5 68.500 (68.598)
Epoch: [23][8500/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5981 (2.5498)	Prec@1 35.000 (37.677)	Prec@5 71.000 (68.599)
Epoch: [23][8510/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4055 (2.5499)	Prec@1 40.500 (37.676)	Prec@5 72.000 (68.597)
Epoch: [23][8520/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3961 (2.5499)	Prec@1 45.000 (37.677)	Prec@5 71.500 (68.599)
Epoch: [23][8530/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.3827 (2.5498)	Prec@1 42.000 (37.679)	Prec@5 73.000 (68.600)
Epoch: [23][8540/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4937 (2.5497)	Prec@1 41.000 (37.680)	Prec@5 68.500 (68.603)
Epoch: [23][8550/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6703 (2.5497)	Prec@1 34.500 (37.680)	Prec@5 65.500 (68.603)
Epoch: [23][8560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6674 (2.5496)	Prec@1 35.000 (37.681)	Prec@5 65.500 (68.604)
Epoch: [23][8570/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7127 (2.5497)	Prec@1 32.000 (37.678)	Prec@5 63.500 (68.602)
Epoch: [23][8580/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7062 (2.5498)	Prec@1 30.500 (37.676)	Prec@5 67.000 (68.601)
Epoch: [23][8590/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5024 (2.5497)	Prec@1 41.500 (37.678)	Prec@5 72.500 (68.602)
Epoch: [23][8600/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6230 (2.5497)	Prec@1 39.500 (37.680)	Prec@5 66.500 (68.603)
Epoch: [23][8610/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5215 (2.5497)	Prec@1 40.500 (37.681)	Prec@5 69.500 (68.603)
Epoch: [23][8620/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4660 (2.5497)	Prec@1 37.500 (37.681)	Prec@5 68.000 (68.603)
Epoch: [23][8630/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4519 (2.5497)	Prec@1 39.000 (37.680)	Prec@5 66.000 (68.601)
Epoch: [23][8640/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4248 (2.5497)	Prec@1 44.000 (37.682)	Prec@5 74.000 (68.601)
Epoch: [23][8650/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6572 (2.5497)	Prec@1 32.000 (37.682)	Prec@5 64.500 (68.601)
Epoch: [23][8660/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4831 (2.5497)	Prec@1 41.500 (37.684)	Prec@5 69.500 (68.602)
Epoch: [23][8670/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2532 (2.5497)	Prec@1 43.500 (37.684)	Prec@5 74.000 (68.600)
Epoch: [23][8680/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4084 (2.5496)	Prec@1 43.000 (37.687)	Prec@5 69.000 (68.601)
Epoch: [23][8690/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6964 (2.5496)	Prec@1 35.000 (37.686)	Prec@5 64.500 (68.602)
Epoch: [23][8700/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7489 (2.5497)	Prec@1 32.000 (37.684)	Prec@5 67.000 (68.602)
Epoch: [23][8710/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5978 (2.5496)	Prec@1 35.000 (37.685)	Prec@5 65.000 (68.601)
Epoch: [23][8720/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4468 (2.5496)	Prec@1 36.500 (37.687)	Prec@5 75.000 (68.601)
Epoch: [23][8730/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4792 (2.5496)	Prec@1 43.500 (37.689)	Prec@5 71.000 (68.601)
Epoch: [23][8740/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5708 (2.5497)	Prec@1 36.000 (37.687)	Prec@5 68.500 (68.600)
Epoch: [23][8750/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3965 (2.5497)	Prec@1 35.500 (37.685)	Prec@5 70.000 (68.599)
Epoch: [23][8760/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.6694 (2.5497)	Prec@1 34.500 (37.684)	Prec@5 68.000 (68.600)
Epoch: [23][8770/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3266 (2.5497)	Prec@1 45.500 (37.683)	Prec@5 71.500 (68.600)
Epoch: [23][8780/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4645 (2.5497)	Prec@1 36.000 (37.683)	Prec@5 70.000 (68.599)
Epoch: [23][8790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6601 (2.5497)	Prec@1 40.000 (37.683)	Prec@5 72.500 (68.600)
Epoch: [23][8800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6223 (2.5498)	Prec@1 38.500 (37.682)	Prec@5 65.000 (68.600)
Epoch: [23][8810/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.5844 (2.5498)	Prec@1 38.000 (37.681)	Prec@5 66.500 (68.598)
Epoch: [23][8820/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4110 (2.5498)	Prec@1 36.500 (37.681)	Prec@5 72.500 (68.599)
Epoch: [23][8830/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5191 (2.5498)	Prec@1 38.000 (37.682)	Prec@5 68.500 (68.600)
Epoch: [23][8840/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.4987 (2.5497)	Prec@1 38.500 (37.682)	Prec@5 68.000 (68.599)
Epoch: [23][8850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7977 (2.5498)	Prec@1 29.000 (37.681)	Prec@5 60.500 (68.597)
Epoch: [23][8860/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5884 (2.5498)	Prec@1 33.000 (37.680)	Prec@5 68.500 (68.597)
Epoch: [23][8870/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.7208 (2.5498)	Prec@1 35.000 (37.679)	Prec@5 62.500 (68.596)
Epoch: [23][8880/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5585 (2.5497)	Prec@1 37.000 (37.679)	Prec@5 66.500 (68.596)
Epoch: [23][8890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5764 (2.5497)	Prec@1 39.000 (37.680)	Prec@5 70.500 (68.597)
Epoch: [23][8900/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5350 (2.5497)	Prec@1 37.000 (37.680)	Prec@5 68.000 (68.597)
Epoch: [23][8910/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7646 (2.5497)	Prec@1 36.500 (37.680)	Prec@5 60.000 (68.595)
Epoch: [23][8920/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4437 (2.5496)	Prec@1 37.000 (37.681)	Prec@5 72.000 (68.597)
Epoch: [23][8930/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5618 (2.5496)	Prec@1 36.500 (37.680)	Prec@5 72.500 (68.597)
Epoch: [23][8940/9018]	Time 0.645 (0.615)	Data 0.001 (0.001)	Loss 2.4713 (2.5496)	Prec@1 41.000 (37.679)	Prec@5 66.000 (68.598)
Epoch: [23][8950/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6600 (2.5495)	Prec@1 32.000 (37.681)	Prec@5 66.000 (68.600)
Epoch: [23][8960/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6107 (2.5495)	Prec@1 35.000 (37.682)	Prec@5 66.500 (68.599)
Epoch: [23][8970/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5999 (2.5495)	Prec@1 35.500 (37.681)	Prec@5 65.500 (68.600)
Epoch: [23][8980/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2599 (2.5494)	Prec@1 44.000 (37.683)	Prec@5 73.000 (68.602)
Epoch: [23][8990/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5806 (2.5494)	Prec@1 37.500 (37.684)	Prec@5 69.000 (68.601)
Epoch: [23][9000/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7759 (2.5495)	Prec@1 34.500 (37.683)	Prec@5 65.000 (68.601)
Epoch: [23][9010/9018]	Time 0.598 (0.615)	Data 0.000 (0.001)	Loss 2.6220 (2.5494)	Prec@1 38.000 (37.685)	Prec@5 67.000 (68.601)
Test: [0/183]	Time 1.279 (1.279)	Loss 2.9944 (2.9944)	Prec@1 24.500 (24.500)	Prec@5 59.000 (59.000)
Test: [10/183]	Time 0.192 (0.306)	Loss 2.3968 (2.3631)	Prec@1 44.500 (39.727)	Prec@5 69.000 (71.909)
Test: [20/183]	Time 0.191 (0.253)	Loss 2.8129 (2.3055)	Prec@1 26.500 (40.976)	Prec@5 69.500 (73.905)
Test: [30/183]	Time 0.192 (0.237)	Loss 2.9345 (2.3146)	Prec@1 20.000 (40.048)	Prec@5 63.000 (73.742)
Test: [40/183]	Time 0.186 (0.227)	Loss 2.7012 (2.3042)	Prec@1 31.000 (41.122)	Prec@5 69.500 (73.439)
Test: [50/183]	Time 0.185 (0.219)	Loss 2.1523 (2.2945)	Prec@1 46.500 (41.696)	Prec@5 78.000 (73.608)
Test: [60/183]	Time 0.188 (0.215)	Loss 2.9933 (2.3499)	Prec@1 28.000 (40.320)	Prec@5 61.500 (72.820)
Test: [70/183]	Time 0.184 (0.211)	Loss 2.3032 (2.3286)	Prec@1 30.000 (40.472)	Prec@5 82.000 (73.380)
Test: [80/183]	Time 0.186 (0.209)	Loss 1.7268 (2.3096)	Prec@1 47.500 (40.802)	Prec@5 89.500 (73.728)
Test: [90/183]	Time 0.190 (0.208)	Loss 3.2214 (2.3258)	Prec@1 20.000 (40.456)	Prec@5 56.500 (73.445)
Test: [100/183]	Time 0.197 (0.206)	Loss 1.6468 (2.3213)	Prec@1 55.500 (40.653)	Prec@5 84.000 (73.589)
Test: [110/183]	Time 0.191 (0.206)	Loss 1.2918 (2.3208)	Prec@1 70.500 (40.752)	Prec@5 91.000 (73.550)
Test: [120/183]	Time 0.189 (0.205)	Loss 2.8841 (2.3300)	Prec@1 30.500 (40.409)	Prec@5 58.000 (73.372)
Test: [130/183]	Time 0.194 (0.204)	Loss 3.7943 (2.3317)	Prec@1 13.500 (40.237)	Prec@5 46.500 (73.515)
Test: [140/183]	Time 0.195 (0.204)	Loss 2.0975 (2.3154)	Prec@1 54.000 (40.837)	Prec@5 73.500 (73.741)
Test: [150/183]	Time 0.204 (0.204)	Loss 0.9947 (2.3107)	Prec@1 75.500 (40.993)	Prec@5 93.500 (73.821)
Test: [160/183]	Time 0.188 (0.204)	Loss 2.1804 (2.3057)	Prec@1 43.000 (41.214)	Prec@5 73.500 (73.873)
Test: [170/183]	Time 0.191 (0.203)	Loss 2.4209 (2.3211)	Prec@1 40.500 (40.901)	Prec@5 75.500 (73.538)
Test: [180/183]	Time 0.186 (0.202)	Loss 2.2288 (2.3285)	Prec@1 47.000 (40.912)	Prec@5 71.500 (73.359)
 * Prec@1 40.868 Prec@5 73.348
Epoch: [24][0/9018]	Time 2.925 (2.925)	Data 2.325 (2.325)	Loss 2.4798 (2.4798)	Prec@1 41.500 (41.500)	Prec@5 70.500 (70.500)
Epoch: [24][10/9018]	Time 0.594 (0.824)	Data 0.001 (0.212)	Loss 2.4716 (2.5208)	Prec@1 37.000 (37.955)	Prec@5 69.000 (69.045)
Epoch: [24][20/9018]	Time 0.643 (0.718)	Data 0.001 (0.111)	Loss 2.5489 (2.5467)	Prec@1 40.500 (37.524)	Prec@5 69.500 (68.214)
Epoch: [24][30/9018]	Time 0.591 (0.685)	Data 0.001 (0.076)	Loss 2.5193 (2.5350)	Prec@1 37.500 (37.613)	Prec@5 74.000 (68.500)
Epoch: [24][40/9018]	Time 0.595 (0.670)	Data 0.001 (0.057)	Loss 2.5781 (2.5345)	Prec@1 37.000 (37.841)	Prec@5 67.000 (68.220)
Epoch: [24][50/9018]	Time 0.631 (0.657)	Data 0.001 (0.046)	Loss 2.4962 (2.5529)	Prec@1 36.500 (37.333)	Prec@5 69.000 (68.059)
Epoch: [24][60/9018]	Time 0.629 (0.651)	Data 0.001 (0.039)	Loss 2.4496 (2.5410)	Prec@1 38.000 (37.533)	Prec@5 72.000 (68.426)
Epoch: [24][70/9018]	Time 0.605 (0.644)	Data 0.001 (0.033)	Loss 2.5318 (2.5333)	Prec@1 36.500 (37.894)	Prec@5 70.500 (68.641)
Epoch: [24][80/9018]	Time 0.610 (0.642)	Data 0.001 (0.029)	Loss 2.7487 (2.5455)	Prec@1 39.000 (37.870)	Prec@5 62.000 (68.438)
Epoch: [24][90/9018]	Time 0.593 (0.639)	Data 0.001 (0.026)	Loss 2.4167 (2.5428)	Prec@1 39.500 (38.016)	Prec@5 69.500 (68.423)
Epoch: [24][100/9018]	Time 0.601 (0.636)	Data 0.001 (0.024)	Loss 2.5207 (2.5383)	Prec@1 37.500 (38.010)	Prec@5 68.000 (68.619)
Epoch: [24][110/9018]	Time 0.618 (0.636)	Data 0.001 (0.022)	Loss 2.5874 (2.5411)	Prec@1 40.000 (37.874)	Prec@5 67.500 (68.577)
Epoch: [24][120/9018]	Time 0.604 (0.633)	Data 0.001 (0.020)	Loss 2.5291 (2.5455)	Prec@1 40.500 (37.764)	Prec@5 73.000 (68.504)
Epoch: [24][130/9018]	Time 0.587 (0.633)	Data 0.001 (0.019)	Loss 2.6831 (2.5479)	Prec@1 34.500 (37.637)	Prec@5 65.000 (68.427)
Epoch: [24][140/9018]	Time 0.598 (0.632)	Data 0.001 (0.017)	Loss 2.4682 (2.5461)	Prec@1 41.500 (37.606)	Prec@5 68.000 (68.468)
Epoch: [24][150/9018]	Time 0.596 (0.630)	Data 0.001 (0.016)	Loss 2.6707 (2.5463)	Prec@1 34.500 (37.639)	Prec@5 69.500 (68.493)
Epoch: [24][160/9018]	Time 0.606 (0.630)	Data 0.001 (0.015)	Loss 2.2697 (2.5434)	Prec@1 43.500 (37.683)	Prec@5 72.500 (68.556)
Epoch: [24][170/9018]	Time 0.716 (0.630)	Data 0.001 (0.014)	Loss 2.5120 (2.5406)	Prec@1 38.500 (37.772)	Prec@5 68.500 (68.605)
Epoch: [24][180/9018]	Time 0.597 (0.628)	Data 0.001 (0.014)	Loss 2.6041 (2.5379)	Prec@1 35.500 (37.856)	Prec@5 69.500 (68.633)
Epoch: [24][190/9018]	Time 0.600 (0.627)	Data 0.001 (0.013)	Loss 2.4827 (2.5347)	Prec@1 38.000 (37.921)	Prec@5 73.000 (68.725)
Epoch: [24][200/9018]	Time 0.633 (0.626)	Data 0.001 (0.012)	Loss 2.6058 (2.5328)	Prec@1 38.500 (37.891)	Prec@5 68.500 (68.776)
Epoch: [24][210/9018]	Time 0.593 (0.626)	Data 0.001 (0.012)	Loss 2.4605 (2.5287)	Prec@1 38.500 (37.905)	Prec@5 69.000 (68.891)
Epoch: [24][220/9018]	Time 0.745 (0.626)	Data 0.001 (0.011)	Loss 2.7392 (2.5301)	Prec@1 36.000 (37.880)	Prec@5 67.500 (68.864)
Epoch: [24][230/9018]	Time 0.596 (0.625)	Data 0.001 (0.011)	Loss 2.4962 (2.5300)	Prec@1 38.000 (37.939)	Prec@5 69.500 (68.868)
Epoch: [24][240/9018]	Time 0.595 (0.625)	Data 0.001 (0.010)	Loss 2.5055 (2.5299)	Prec@1 40.000 (37.950)	Prec@5 66.000 (68.890)
Epoch: [24][250/9018]	Time 0.594 (0.624)	Data 0.001 (0.010)	Loss 2.4836 (2.5299)	Prec@1 39.000 (37.888)	Prec@5 69.000 (68.884)
Epoch: [24][260/9018]	Time 0.630 (0.624)	Data 0.001 (0.010)	Loss 2.3845 (2.5314)	Prec@1 40.000 (37.877)	Prec@5 70.000 (68.881)
Epoch: [24][270/9018]	Time 0.600 (0.624)	Data 0.001 (0.009)	Loss 2.4400 (2.5337)	Prec@1 43.500 (37.858)	Prec@5 69.500 (68.823)
Epoch: [24][280/9018]	Time 0.602 (0.623)	Data 0.001 (0.009)	Loss 2.5909 (2.5332)	Prec@1 38.000 (37.886)	Prec@5 69.000 (68.840)
Epoch: [24][290/9018]	Time 0.596 (0.623)	Data 0.001 (0.009)	Loss 2.2817 (2.5348)	Prec@1 42.000 (37.851)	Prec@5 72.500 (68.789)
Epoch: [24][300/9018]	Time 0.609 (0.622)	Data 0.001 (0.008)	Loss 2.4872 (2.5320)	Prec@1 39.500 (37.857)	Prec@5 67.500 (68.860)
Epoch: [24][310/9018]	Time 0.603 (0.622)	Data 0.001 (0.008)	Loss 2.4929 (2.5294)	Prec@1 38.500 (37.871)	Prec@5 71.000 (68.947)
Epoch: [24][320/9018]	Time 0.600 (0.622)	Data 0.001 (0.008)	Loss 2.4585 (2.5283)	Prec@1 37.000 (37.885)	Prec@5 70.000 (68.942)
Epoch: [24][330/9018]	Time 0.626 (0.622)	Data 0.001 (0.008)	Loss 2.7076 (2.5285)	Prec@1 30.500 (37.864)	Prec@5 67.500 (68.970)
Epoch: [24][340/9018]	Time 0.618 (0.622)	Data 0.001 (0.008)	Loss 2.5676 (2.5299)	Prec@1 38.000 (37.871)	Prec@5 67.000 (68.953)
Epoch: [24][350/9018]	Time 0.595 (0.622)	Data 0.001 (0.007)	Loss 2.5073 (2.5304)	Prec@1 39.500 (37.902)	Prec@5 69.000 (68.923)
Epoch: [24][360/9018]	Time 0.633 (0.622)	Data 0.001 (0.007)	Loss 2.4605 (2.5302)	Prec@1 36.500 (37.918)	Prec@5 71.000 (68.927)
Epoch: [24][370/9018]	Time 0.617 (0.622)	Data 0.001 (0.007)	Loss 2.4419 (2.5295)	Prec@1 36.000 (37.929)	Prec@5 71.000 (68.964)
Epoch: [24][380/9018]	Time 0.631 (0.621)	Data 0.001 (0.007)	Loss 2.6998 (2.5304)	Prec@1 38.000 (37.915)	Prec@5 66.500 (68.934)
Epoch: [24][390/9018]	Time 0.590 (0.621)	Data 0.001 (0.007)	Loss 2.4331 (2.5307)	Prec@1 40.000 (37.928)	Prec@5 69.500 (68.934)
Epoch: [24][400/9018]	Time 0.624 (0.620)	Data 0.001 (0.007)	Loss 2.5310 (2.5308)	Prec@1 38.500 (37.968)	Prec@5 73.000 (68.941)
Epoch: [24][410/9018]	Time 0.601 (0.621)	Data 0.001 (0.006)	Loss 2.3467 (2.5286)	Prec@1 42.500 (38.010)	Prec@5 71.500 (68.988)
Epoch: [24][420/9018]	Time 0.600 (0.621)	Data 0.001 (0.006)	Loss 2.6575 (2.5270)	Prec@1 33.500 (38.018)	Prec@5 66.000 (69.026)
Epoch: [24][430/9018]	Time 0.599 (0.620)	Data 0.001 (0.006)	Loss 2.4516 (2.5265)	Prec@1 38.000 (38.013)	Prec@5 67.000 (69.021)
Epoch: [24][440/9018]	Time 0.646 (0.620)	Data 0.001 (0.006)	Loss 2.5792 (2.5263)	Prec@1 34.000 (38.006)	Prec@5 66.500 (69.022)
Epoch: [24][450/9018]	Time 0.624 (0.620)	Data 0.001 (0.006)	Loss 2.3855 (2.5268)	Prec@1 41.000 (37.975)	Prec@5 73.000 (69.034)
Epoch: [24][460/9018]	Time 0.596 (0.620)	Data 0.001 (0.006)	Loss 2.4449 (2.5256)	Prec@1 46.000 (38.000)	Prec@5 73.000 (69.077)
Epoch: [24][470/9018]	Time 0.590 (0.620)	Data 0.001 (0.006)	Loss 2.5785 (2.5256)	Prec@1 30.000 (37.971)	Prec@5 68.000 (69.094)
Epoch: [24][480/9018]	Time 0.603 (0.620)	Data 0.001 (0.006)	Loss 2.8133 (2.5257)	Prec@1 33.500 (37.971)	Prec@5 62.500 (69.094)
Epoch: [24][490/9018]	Time 0.595 (0.620)	Data 0.001 (0.006)	Loss 2.5366 (2.5253)	Prec@1 38.000 (37.979)	Prec@5 70.500 (69.099)
Epoch: [24][500/9018]	Time 0.753 (0.620)	Data 0.001 (0.005)	Loss 2.5065 (2.5252)	Prec@1 34.000 (37.938)	Prec@5 69.500 (69.113)
Epoch: [24][510/9018]	Time 0.594 (0.620)	Data 0.001 (0.005)	Loss 2.7032 (2.5255)	Prec@1 35.500 (37.943)	Prec@5 67.000 (69.114)
Epoch: [24][520/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 2.3736 (2.5250)	Prec@1 39.500 (37.955)	Prec@5 75.500 (69.121)
Epoch: [24][530/9018]	Time 0.622 (0.619)	Data 0.001 (0.005)	Loss 2.6133 (2.5266)	Prec@1 38.000 (37.930)	Prec@5 66.000 (69.078)
Epoch: [24][540/9018]	Time 0.630 (0.619)	Data 0.001 (0.005)	Loss 2.4542 (2.5277)	Prec@1 40.500 (37.929)	Prec@5 71.000 (69.056)
Epoch: [24][550/9018]	Time 0.725 (0.619)	Data 0.001 (0.005)	Loss 2.7150 (2.5266)	Prec@1 36.000 (37.966)	Prec@5 65.500 (69.079)
Epoch: [24][560/9018]	Time 0.600 (0.619)	Data 0.001 (0.005)	Loss 2.4241 (2.5281)	Prec@1 39.500 (37.939)	Prec@5 69.000 (69.045)
Epoch: [24][570/9018]	Time 0.614 (0.619)	Data 0.001 (0.005)	Loss 2.3971 (2.5276)	Prec@1 38.500 (37.941)	Prec@5 68.500 (69.053)
Epoch: [24][580/9018]	Time 0.630 (0.619)	Data 0.001 (0.005)	Loss 2.5116 (2.5293)	Prec@1 40.500 (37.921)	Prec@5 71.500 (69.022)
Epoch: [24][590/9018]	Time 0.613 (0.619)	Data 0.001 (0.005)	Loss 2.4749 (2.5295)	Prec@1 41.500 (37.915)	Prec@5 70.500 (69.009)
Epoch: [24][600/9018]	Time 0.633 (0.619)	Data 0.001 (0.005)	Loss 2.4475 (2.5295)	Prec@1 37.500 (37.900)	Prec@5 71.000 (68.993)
Epoch: [24][610/9018]	Time 0.617 (0.619)	Data 0.001 (0.005)	Loss 2.5053 (2.5297)	Prec@1 42.000 (37.902)	Prec@5 69.000 (69.003)
Epoch: [24][620/9018]	Time 0.625 (0.619)	Data 0.001 (0.005)	Loss 2.5652 (2.5292)	Prec@1 36.000 (37.915)	Prec@5 67.000 (69.013)
Epoch: [24][630/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 2.4092 (2.5294)	Prec@1 39.000 (37.910)	Prec@5 71.500 (69.007)
Epoch: [24][640/9018]	Time 0.589 (0.618)	Data 0.001 (0.004)	Loss 2.6348 (2.5286)	Prec@1 33.500 (37.926)	Prec@5 68.000 (69.023)
Epoch: [24][650/9018]	Time 0.640 (0.619)	Data 0.001 (0.004)	Loss 2.5000 (2.5295)	Prec@1 39.500 (37.923)	Prec@5 69.000 (68.992)
Epoch: [24][660/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 2.5440 (2.5293)	Prec@1 37.000 (37.923)	Prec@5 66.500 (68.991)
Epoch: [24][670/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 2.8196 (2.5286)	Prec@1 36.000 (37.949)	Prec@5 67.500 (69.000)
Epoch: [24][680/9018]	Time 0.611 (0.618)	Data 0.001 (0.004)	Loss 2.6609 (2.5280)	Prec@1 35.000 (37.972)	Prec@5 69.000 (69.001)
Epoch: [24][690/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 2.4253 (2.5276)	Prec@1 39.000 (37.978)	Prec@5 70.500 (69.008)
Epoch: [24][700/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 2.4383 (2.5284)	Prec@1 38.500 (37.951)	Prec@5 71.000 (69.002)
Epoch: [24][710/9018]	Time 0.614 (0.618)	Data 0.001 (0.004)	Loss 2.7923 (2.5295)	Prec@1 32.500 (37.954)	Prec@5 66.000 (68.973)
Epoch: [24][720/9018]	Time 0.590 (0.618)	Data 0.001 (0.004)	Loss 2.4650 (2.5301)	Prec@1 37.000 (37.953)	Prec@5 71.500 (68.949)
Epoch: [24][730/9018]	Time 0.625 (0.618)	Data 0.001 (0.004)	Loss 2.5981 (2.5296)	Prec@1 36.000 (37.958)	Prec@5 64.500 (68.951)
Epoch: [24][740/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.5614 (2.5292)	Prec@1 39.500 (37.971)	Prec@5 67.000 (68.950)
Epoch: [24][750/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.3531 (2.5294)	Prec@1 41.000 (37.977)	Prec@5 72.500 (68.951)
Epoch: [24][760/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 2.5119 (2.5299)	Prec@1 40.500 (37.955)	Prec@5 67.500 (68.965)
Epoch: [24][770/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 2.4299 (2.5300)	Prec@1 41.000 (37.958)	Prec@5 70.000 (68.962)
Epoch: [24][780/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 2.4152 (2.5298)	Prec@1 43.000 (37.976)	Prec@5 71.000 (68.964)
Epoch: [24][790/9018]	Time 0.630 (0.618)	Data 0.001 (0.004)	Loss 2.6860 (2.5295)	Prec@1 34.000 (37.980)	Prec@5 66.000 (68.972)
Epoch: [24][800/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.5574 (2.5312)	Prec@1 31.000 (37.948)	Prec@5 71.500 (68.946)
Epoch: [24][810/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 2.4345 (2.5315)	Prec@1 38.000 (37.942)	Prec@5 69.500 (68.946)
Epoch: [24][820/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 2.7239 (2.5318)	Prec@1 37.000 (37.940)	Prec@5 61.500 (68.923)
Epoch: [24][830/9018]	Time 0.726 (0.618)	Data 0.001 (0.004)	Loss 2.5938 (2.5330)	Prec@1 31.500 (37.924)	Prec@5 69.500 (68.904)
Epoch: [24][840/9018]	Time 0.627 (0.617)	Data 0.001 (0.004)	Loss 2.7273 (2.5334)	Prec@1 40.500 (37.920)	Prec@5 67.000 (68.902)
Epoch: [24][850/9018]	Time 0.608 (0.618)	Data 0.001 (0.004)	Loss 2.5260 (2.5340)	Prec@1 38.500 (37.908)	Prec@5 68.500 (68.890)
Epoch: [24][860/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.2762 (2.5340)	Prec@1 44.000 (37.916)	Prec@5 74.000 (68.882)
Epoch: [24][870/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 2.5060 (2.5340)	Prec@1 36.000 (37.918)	Prec@5 69.500 (68.879)
Epoch: [24][880/9018]	Time 0.748 (0.618)	Data 0.001 (0.003)	Loss 2.4451 (2.5342)	Prec@1 41.000 (37.905)	Prec@5 71.500 (68.880)
Epoch: [24][890/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 2.4870 (2.5348)	Prec@1 40.500 (37.893)	Prec@5 67.000 (68.869)
Epoch: [24][900/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.6720 (2.5351)	Prec@1 41.500 (37.900)	Prec@5 69.500 (68.863)
Epoch: [24][910/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.5265 (2.5347)	Prec@1 35.000 (37.894)	Prec@5 68.500 (68.879)
Epoch: [24][920/9018]	Time 0.628 (0.617)	Data 0.001 (0.003)	Loss 2.3473 (2.5347)	Prec@1 42.500 (37.893)	Prec@5 74.000 (68.874)
Epoch: [24][930/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.4164 (2.5346)	Prec@1 42.000 (37.901)	Prec@5 71.500 (68.879)
Epoch: [24][940/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 2.3899 (2.5348)	Prec@1 38.000 (37.896)	Prec@5 71.000 (68.879)
Epoch: [24][950/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.6394 (2.5355)	Prec@1 38.000 (37.880)	Prec@5 67.000 (68.870)
Epoch: [24][960/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 2.5503 (2.5356)	Prec@1 35.000 (37.874)	Prec@5 69.500 (68.862)
Epoch: [24][970/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.5895 (2.5358)	Prec@1 35.500 (37.873)	Prec@5 63.500 (68.845)
Epoch: [24][980/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.8801 (2.5365)	Prec@1 33.500 (37.872)	Prec@5 60.000 (68.837)
Epoch: [24][990/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 2.6159 (2.5367)	Prec@1 37.000 (37.876)	Prec@5 67.500 (68.824)
Epoch: [24][1000/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 2.6790 (2.5363)	Prec@1 34.500 (37.887)	Prec@5 69.500 (68.833)
Epoch: [24][1010/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.5371 (2.5360)	Prec@1 37.500 (37.884)	Prec@5 69.500 (68.829)
Epoch: [24][1020/9018]	Time 0.628 (0.617)	Data 0.001 (0.003)	Loss 2.8640 (2.5364)	Prec@1 32.000 (37.879)	Prec@5 62.000 (68.817)
Epoch: [24][1030/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.5094 (2.5365)	Prec@1 36.500 (37.871)	Prec@5 68.500 (68.816)
Epoch: [24][1040/9018]	Time 0.618 (0.617)	Data 0.001 (0.003)	Loss 2.6325 (2.5365)	Prec@1 34.500 (37.862)	Prec@5 69.500 (68.825)
Epoch: [24][1050/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.5245 (2.5364)	Prec@1 38.000 (37.861)	Prec@5 71.000 (68.823)
Epoch: [24][1060/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.4936 (2.5363)	Prec@1 37.000 (37.856)	Prec@5 72.000 (68.825)
Epoch: [24][1070/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.6821 (2.5372)	Prec@1 33.500 (37.835)	Prec@5 67.000 (68.798)
Epoch: [24][1080/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.5359 (2.5374)	Prec@1 39.500 (37.827)	Prec@5 70.500 (68.810)
Epoch: [24][1090/9018]	Time 0.622 (0.617)	Data 0.001 (0.003)	Loss 2.5684 (2.5374)	Prec@1 36.500 (37.832)	Prec@5 66.500 (68.804)
Epoch: [24][1100/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 2.3772 (2.5369)	Prec@1 42.000 (37.851)	Prec@5 72.000 (68.813)
Epoch: [24][1110/9018]	Time 0.592 (0.617)	Data 0.001 (0.003)	Loss 2.4527 (2.5368)	Prec@1 38.500 (37.851)	Prec@5 73.000 (68.812)
Epoch: [24][1120/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.4283 (2.5360)	Prec@1 40.000 (37.869)	Prec@5 69.500 (68.822)
Epoch: [24][1130/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.3704 (2.5367)	Prec@1 41.500 (37.855)	Prec@5 70.500 (68.805)
Epoch: [24][1140/9018]	Time 0.618 (0.617)	Data 0.001 (0.003)	Loss 2.3153 (2.5364)	Prec@1 40.500 (37.854)	Prec@5 77.000 (68.816)
Epoch: [24][1150/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.5964 (2.5358)	Prec@1 40.000 (37.873)	Prec@5 68.000 (68.822)
Epoch: [24][1160/9018]	Time 0.728 (0.617)	Data 0.001 (0.003)	Loss 2.5807 (2.5359)	Prec@1 37.000 (37.869)	Prec@5 68.000 (68.815)
Epoch: [24][1170/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.8295 (2.5366)	Prec@1 33.000 (37.852)	Prec@5 62.500 (68.806)
Epoch: [24][1180/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.6152 (2.5365)	Prec@1 35.000 (37.854)	Prec@5 68.000 (68.816)
Epoch: [24][1190/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 2.4823 (2.5361)	Prec@1 39.000 (37.864)	Prec@5 69.000 (68.821)
Epoch: [24][1200/9018]	Time 0.586 (0.617)	Data 0.001 (0.003)	Loss 2.3016 (2.5359)	Prec@1 43.000 (37.868)	Prec@5 74.000 (68.824)
Epoch: [24][1210/9018]	Time 0.758 (0.617)	Data 0.001 (0.003)	Loss 2.5569 (2.5357)	Prec@1 37.500 (37.878)	Prec@5 71.000 (68.837)
Epoch: [24][1220/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.8722 (2.5364)	Prec@1 38.500 (37.866)	Prec@5 60.000 (68.825)
Epoch: [24][1230/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.3612 (2.5369)	Prec@1 41.000 (37.857)	Prec@5 71.500 (68.816)
Epoch: [24][1240/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.4930 (2.5375)	Prec@1 39.500 (37.846)	Prec@5 67.500 (68.817)
Epoch: [24][1250/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.2601 (2.5370)	Prec@1 40.500 (37.849)	Prec@5 78.000 (68.832)
Epoch: [24][1260/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.2451 (2.5370)	Prec@1 44.500 (37.843)	Prec@5 74.500 (68.827)
Epoch: [24][1270/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.4996 (2.5372)	Prec@1 37.500 (37.840)	Prec@5 68.500 (68.822)
Epoch: [24][1280/9018]	Time 0.634 (0.616)	Data 0.001 (0.003)	Loss 2.3489 (2.5374)	Prec@1 42.500 (37.844)	Prec@5 74.000 (68.815)
Epoch: [24][1290/9018]	Time 0.591 (0.616)	Data 0.001 (0.003)	Loss 2.5851 (2.5369)	Prec@1 37.000 (37.855)	Prec@5 68.000 (68.823)
Epoch: [24][1300/9018]	Time 0.591 (0.616)	Data 0.001 (0.003)	Loss 2.3970 (2.5365)	Prec@1 42.500 (37.862)	Prec@5 72.500 (68.827)
Epoch: [24][1310/9018]	Time 0.628 (0.616)	Data 0.001 (0.003)	Loss 2.7899 (2.5367)	Prec@1 32.000 (37.865)	Prec@5 63.500 (68.827)
Epoch: [24][1320/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 2.7160 (2.5368)	Prec@1 36.000 (37.869)	Prec@5 62.000 (68.821)
Epoch: [24][1330/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.7102 (2.5369)	Prec@1 34.000 (37.871)	Prec@5 68.000 (68.821)
Epoch: [24][1340/9018]	Time 0.624 (0.616)	Data 0.001 (0.003)	Loss 2.5049 (2.5372)	Prec@1 37.000 (37.864)	Prec@5 66.500 (68.810)
Epoch: [24][1350/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.4958 (2.5371)	Prec@1 37.000 (37.862)	Prec@5 70.000 (68.816)
Epoch: [24][1360/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.6359 (2.5375)	Prec@1 38.000 (37.857)	Prec@5 67.500 (68.806)
Epoch: [24][1370/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.4225 (2.5377)	Prec@1 35.500 (37.847)	Prec@5 72.500 (68.796)
Epoch: [24][1380/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.5769 (2.5376)	Prec@1 39.500 (37.854)	Prec@5 70.000 (68.810)
Epoch: [24][1390/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.3750 (2.5370)	Prec@1 38.000 (37.867)	Prec@5 72.000 (68.824)
Epoch: [24][1400/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6582 (2.5374)	Prec@1 30.500 (37.860)	Prec@5 66.500 (68.808)
Epoch: [24][1410/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.2535 (2.5374)	Prec@1 46.000 (37.869)	Prec@5 75.500 (68.808)
Epoch: [24][1420/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6141 (2.5377)	Prec@1 36.000 (37.859)	Prec@5 65.500 (68.809)
Epoch: [24][1430/9018]	Time 0.609 (0.616)	Data 0.003 (0.002)	Loss 2.5857 (2.5373)	Prec@1 36.000 (37.862)	Prec@5 70.000 (68.823)
Epoch: [24][1440/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5700 (2.5372)	Prec@1 39.500 (37.857)	Prec@5 69.000 (68.829)
Epoch: [24][1450/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5527 (2.5371)	Prec@1 40.000 (37.864)	Prec@5 68.000 (68.836)
Epoch: [24][1460/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.3364 (2.5366)	Prec@1 38.500 (37.873)	Prec@5 71.000 (68.851)
Epoch: [24][1470/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.5275 (2.5370)	Prec@1 35.000 (37.865)	Prec@5 71.500 (68.841)
Epoch: [24][1480/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.1870 (2.5365)	Prec@1 43.000 (37.875)	Prec@5 77.500 (68.858)
Epoch: [24][1490/9018]	Time 0.732 (0.616)	Data 0.001 (0.002)	Loss 2.4051 (2.5364)	Prec@1 41.000 (37.883)	Prec@5 71.000 (68.865)
Epoch: [24][1500/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.5298 (2.5364)	Prec@1 36.000 (37.884)	Prec@5 69.500 (68.850)
Epoch: [24][1510/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5118 (2.5362)	Prec@1 39.500 (37.888)	Prec@5 69.000 (68.859)
Epoch: [24][1520/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.6933 (2.5363)	Prec@1 37.000 (37.888)	Prec@5 65.500 (68.860)
Epoch: [24][1530/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.3996 (2.5362)	Prec@1 39.000 (37.879)	Prec@5 69.500 (68.869)
Epoch: [24][1540/9018]	Time 0.728 (0.616)	Data 0.001 (0.002)	Loss 2.5074 (2.5363)	Prec@1 35.000 (37.875)	Prec@5 70.000 (68.865)
Epoch: [24][1550/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.4718 (2.5366)	Prec@1 40.000 (37.871)	Prec@5 70.500 (68.857)
Epoch: [24][1560/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6235 (2.5365)	Prec@1 39.500 (37.878)	Prec@5 65.000 (68.860)
Epoch: [24][1570/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5291 (2.5365)	Prec@1 41.000 (37.879)	Prec@5 71.500 (68.856)
Epoch: [24][1580/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.7072 (2.5366)	Prec@1 36.000 (37.883)	Prec@5 66.500 (68.859)
Epoch: [24][1590/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.7183 (2.5368)	Prec@1 38.500 (37.880)	Prec@5 66.000 (68.858)
Epoch: [24][1600/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.4656 (2.5370)	Prec@1 40.500 (37.874)	Prec@5 73.000 (68.858)
Epoch: [24][1610/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6288 (2.5372)	Prec@1 35.000 (37.874)	Prec@5 69.000 (68.857)
Epoch: [24][1620/9018]	Time 0.641 (0.616)	Data 0.001 (0.002)	Loss 2.5236 (2.5375)	Prec@1 37.500 (37.874)	Prec@5 68.500 (68.851)
Epoch: [24][1630/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6148 (2.5375)	Prec@1 34.500 (37.873)	Prec@5 71.000 (68.859)
Epoch: [24][1640/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5627 (2.5379)	Prec@1 37.000 (37.864)	Prec@5 68.000 (68.856)
Epoch: [24][1650/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6941 (2.5381)	Prec@1 34.500 (37.859)	Prec@5 65.500 (68.850)
Epoch: [24][1660/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.4476 (2.5383)	Prec@1 39.000 (37.853)	Prec@5 71.500 (68.845)
Epoch: [24][1670/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5966 (2.5382)	Prec@1 43.000 (37.853)	Prec@5 67.000 (68.849)
Epoch: [24][1680/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5382 (2.5382)	Prec@1 34.500 (37.847)	Prec@5 70.500 (68.851)
Epoch: [24][1690/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.7266 (2.5383)	Prec@1 35.500 (37.842)	Prec@5 62.500 (68.847)
Epoch: [24][1700/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.6586 (2.5385)	Prec@1 37.500 (37.840)	Prec@5 66.500 (68.843)
Epoch: [24][1710/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5420 (2.5391)	Prec@1 40.000 (37.833)	Prec@5 67.000 (68.829)
Epoch: [24][1720/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.1796 (2.5388)	Prec@1 45.000 (37.834)	Prec@5 75.500 (68.837)
Epoch: [24][1730/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4251 (2.5386)	Prec@1 40.000 (37.840)	Prec@5 71.000 (68.842)
Epoch: [24][1740/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.4592 (2.5383)	Prec@1 38.500 (37.838)	Prec@5 73.000 (68.846)
Epoch: [24][1750/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6248 (2.5383)	Prec@1 36.000 (37.842)	Prec@5 67.000 (68.840)
Epoch: [24][1760/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.9064 (2.5385)	Prec@1 33.500 (37.843)	Prec@5 63.000 (68.834)
Epoch: [24][1770/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5667 (2.5386)	Prec@1 40.000 (37.843)	Prec@5 68.500 (68.826)
Epoch: [24][1780/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5303 (2.5387)	Prec@1 40.000 (37.844)	Prec@5 69.500 (68.823)
Epoch: [24][1790/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6146 (2.5387)	Prec@1 38.000 (37.839)	Prec@5 68.500 (68.822)
Epoch: [24][1800/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5755 (2.5392)	Prec@1 40.000 (37.825)	Prec@5 68.000 (68.815)
Epoch: [24][1810/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5281 (2.5394)	Prec@1 39.500 (37.826)	Prec@5 70.500 (68.813)
Epoch: [24][1820/9018]	Time 0.745 (0.616)	Data 0.001 (0.002)	Loss 2.5180 (2.5399)	Prec@1 34.000 (37.820)	Prec@5 68.500 (68.803)
Epoch: [24][1830/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.3695 (2.5400)	Prec@1 41.500 (37.818)	Prec@5 73.000 (68.796)
Epoch: [24][1840/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.7146 (2.5402)	Prec@1 31.500 (37.812)	Prec@5 68.500 (68.802)
Epoch: [24][1850/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6013 (2.5405)	Prec@1 37.500 (37.810)	Prec@5 69.500 (68.798)
Epoch: [24][1860/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.4010 (2.5403)	Prec@1 44.000 (37.816)	Prec@5 74.000 (68.797)
Epoch: [24][1870/9018]	Time 0.732 (0.616)	Data 0.001 (0.002)	Loss 2.3686 (2.5403)	Prec@1 39.500 (37.810)	Prec@5 73.000 (68.798)
Epoch: [24][1880/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.5910 (2.5404)	Prec@1 38.000 (37.817)	Prec@5 70.000 (68.799)
Epoch: [24][1890/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5014 (2.5405)	Prec@1 41.000 (37.812)	Prec@5 75.000 (68.803)
Epoch: [24][1900/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.7142 (2.5405)	Prec@1 41.000 (37.818)	Prec@5 69.000 (68.807)
Epoch: [24][1910/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.7281 (2.5406)	Prec@1 35.000 (37.811)	Prec@5 67.000 (68.810)
Epoch: [24][1920/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.7995 (2.5406)	Prec@1 33.000 (37.807)	Prec@5 63.000 (68.812)
Epoch: [24][1930/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.5025 (2.5404)	Prec@1 38.000 (37.811)	Prec@5 71.500 (68.815)
Epoch: [24][1940/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.7382 (2.5403)	Prec@1 36.500 (37.816)	Prec@5 66.000 (68.816)
Epoch: [24][1950/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4384 (2.5403)	Prec@1 36.500 (37.817)	Prec@5 71.500 (68.818)
Epoch: [24][1960/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.3430 (2.5405)	Prec@1 42.000 (37.817)	Prec@5 71.500 (68.816)
Epoch: [24][1970/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.4898 (2.5402)	Prec@1 39.000 (37.830)	Prec@5 71.500 (68.822)
Epoch: [24][1980/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8554 (2.5405)	Prec@1 32.000 (37.831)	Prec@5 64.000 (68.818)
Epoch: [24][1990/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.7425 (2.5404)	Prec@1 32.500 (37.831)	Prec@5 69.500 (68.815)
Epoch: [24][2000/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.7272 (2.5402)	Prec@1 37.500 (37.836)	Prec@5 64.000 (68.822)
Epoch: [24][2010/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5370 (2.5401)	Prec@1 37.000 (37.839)	Prec@5 69.000 (68.825)
Epoch: [24][2020/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.5444 (2.5400)	Prec@1 37.500 (37.841)	Prec@5 68.000 (68.822)
Epoch: [24][2030/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5489 (2.5399)	Prec@1 38.000 (37.841)	Prec@5 70.500 (68.819)
Epoch: [24][2040/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.7368 (2.5400)	Prec@1 33.000 (37.834)	Prec@5 65.500 (68.816)
Epoch: [24][2050/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.5863 (2.5399)	Prec@1 40.500 (37.836)	Prec@5 64.000 (68.814)
Epoch: [24][2060/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4879 (2.5399)	Prec@1 39.500 (37.830)	Prec@5 73.000 (68.817)
Epoch: [24][2070/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.3797 (2.5397)	Prec@1 41.500 (37.827)	Prec@5 70.000 (68.823)
Epoch: [24][2080/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5260 (2.5400)	Prec@1 35.000 (37.819)	Prec@5 70.000 (68.821)
Epoch: [24][2090/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.5390 (2.5403)	Prec@1 40.000 (37.812)	Prec@5 70.000 (68.812)
Epoch: [24][2100/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5900 (2.5401)	Prec@1 32.000 (37.812)	Prec@5 66.500 (68.821)
Epoch: [24][2110/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5620 (2.5398)	Prec@1 37.500 (37.819)	Prec@5 70.500 (68.829)
Epoch: [24][2120/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6608 (2.5396)	Prec@1 35.000 (37.823)	Prec@5 68.500 (68.831)
Epoch: [24][2130/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5815 (2.5396)	Prec@1 35.500 (37.823)	Prec@5 70.000 (68.834)
Epoch: [24][2140/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4859 (2.5395)	Prec@1 44.000 (37.828)	Prec@5 69.000 (68.839)
Epoch: [24][2150/9018]	Time 0.728 (0.616)	Data 0.001 (0.002)	Loss 2.4555 (2.5392)	Prec@1 35.000 (37.833)	Prec@5 71.500 (68.844)
Epoch: [24][2160/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.5510 (2.5394)	Prec@1 35.500 (37.828)	Prec@5 68.500 (68.842)
Epoch: [24][2170/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4978 (2.5394)	Prec@1 39.000 (37.823)	Prec@5 73.500 (68.845)
Epoch: [24][2180/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.3540 (2.5393)	Prec@1 42.000 (37.827)	Prec@5 72.000 (68.848)
Epoch: [24][2190/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.5470 (2.5396)	Prec@1 36.000 (37.823)	Prec@5 72.000 (68.842)
Epoch: [24][2200/9018]	Time 0.726 (0.616)	Data 0.001 (0.002)	Loss 2.7795 (2.5399)	Prec@1 35.000 (37.823)	Prec@5 59.000 (68.830)
Epoch: [24][2210/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5776 (2.5400)	Prec@1 34.000 (37.819)	Prec@5 66.500 (68.828)
Epoch: [24][2220/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4701 (2.5398)	Prec@1 39.000 (37.827)	Prec@5 69.500 (68.832)
Epoch: [24][2230/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.5038 (2.5400)	Prec@1 40.000 (37.825)	Prec@5 72.500 (68.831)
Epoch: [24][2240/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.3610 (2.5399)	Prec@1 41.500 (37.827)	Prec@5 74.000 (68.831)
Epoch: [24][2250/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5222 (2.5403)	Prec@1 36.000 (37.819)	Prec@5 69.500 (68.824)
Epoch: [24][2260/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.8359 (2.5407)	Prec@1 33.000 (37.818)	Prec@5 64.000 (68.814)
Epoch: [24][2270/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.7395 (2.5406)	Prec@1 32.000 (37.819)	Prec@5 66.500 (68.818)
Epoch: [24][2280/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4513 (2.5407)	Prec@1 39.500 (37.824)	Prec@5 71.000 (68.821)
Epoch: [24][2290/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.3975 (2.5405)	Prec@1 37.500 (37.821)	Prec@5 71.000 (68.822)
Epoch: [24][2300/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.7322 (2.5409)	Prec@1 34.000 (37.814)	Prec@5 63.000 (68.812)
Epoch: [24][2310/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.8426 (2.5411)	Prec@1 33.500 (37.809)	Prec@5 64.000 (68.805)
Epoch: [24][2320/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5374 (2.5412)	Prec@1 36.000 (37.801)	Prec@5 68.000 (68.802)
Epoch: [24][2330/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6441 (2.5415)	Prec@1 37.500 (37.798)	Prec@5 65.000 (68.799)
Epoch: [24][2340/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.3097 (2.5414)	Prec@1 40.000 (37.801)	Prec@5 75.000 (68.802)
Epoch: [24][2350/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.3164 (2.5414)	Prec@1 42.500 (37.804)	Prec@5 73.500 (68.805)
Epoch: [24][2360/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6780 (2.5412)	Prec@1 34.500 (37.810)	Prec@5 62.500 (68.808)
Epoch: [24][2370/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4435 (2.5410)	Prec@1 41.500 (37.811)	Prec@5 72.000 (68.813)
Epoch: [24][2380/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.4775 (2.5411)	Prec@1 42.000 (37.810)	Prec@5 68.500 (68.812)
Epoch: [24][2390/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.7411 (2.5412)	Prec@1 27.000 (37.801)	Prec@5 67.500 (68.810)
Epoch: [24][2400/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.6384 (2.5414)	Prec@1 36.500 (37.798)	Prec@5 69.000 (68.802)
Epoch: [24][2410/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.6586 (2.5416)	Prec@1 36.000 (37.794)	Prec@5 66.000 (68.799)
Epoch: [24][2420/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.4155 (2.5416)	Prec@1 38.500 (37.791)	Prec@5 71.500 (68.802)
Epoch: [24][2430/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.7185 (2.5417)	Prec@1 36.500 (37.794)	Prec@5 64.500 (68.802)
Epoch: [24][2440/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.7738 (2.5419)	Prec@1 35.500 (37.793)	Prec@5 65.000 (68.797)
Epoch: [24][2450/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.3955 (2.5422)	Prec@1 40.000 (37.790)	Prec@5 72.000 (68.789)
Epoch: [24][2460/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.7066 (2.5420)	Prec@1 39.000 (37.799)	Prec@5 63.500 (68.790)
Epoch: [24][2470/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.7007 (2.5421)	Prec@1 33.500 (37.801)	Prec@5 64.500 (68.787)
Epoch: [24][2480/9018]	Time 0.735 (0.616)	Data 0.001 (0.002)	Loss 2.6068 (2.5420)	Prec@1 38.000 (37.800)	Prec@5 66.500 (68.793)
Epoch: [24][2490/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4115 (2.5419)	Prec@1 41.500 (37.804)	Prec@5 73.000 (68.793)
Epoch: [24][2500/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5544 (2.5419)	Prec@1 35.500 (37.801)	Prec@5 65.500 (68.795)
Epoch: [24][2510/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.5131 (2.5419)	Prec@1 33.000 (37.803)	Prec@5 67.500 (68.790)
Epoch: [24][2520/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.3104 (2.5418)	Prec@1 43.000 (37.805)	Prec@5 73.500 (68.790)
Epoch: [24][2530/9018]	Time 0.710 (0.616)	Data 0.001 (0.002)	Loss 2.4251 (2.5420)	Prec@1 39.500 (37.804)	Prec@5 67.500 (68.787)
Epoch: [24][2540/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6338 (2.5419)	Prec@1 33.000 (37.803)	Prec@5 68.000 (68.789)
Epoch: [24][2550/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4443 (2.5419)	Prec@1 40.500 (37.802)	Prec@5 71.000 (68.795)
Epoch: [24][2560/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.7616 (2.5420)	Prec@1 34.000 (37.796)	Prec@5 67.000 (68.794)
Epoch: [24][2570/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.1532 (2.5418)	Prec@1 45.500 (37.799)	Prec@5 77.500 (68.798)
Epoch: [24][2580/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4832 (2.5419)	Prec@1 37.000 (37.795)	Prec@5 71.500 (68.798)
Epoch: [24][2590/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4252 (2.5417)	Prec@1 43.000 (37.804)	Prec@5 73.000 (68.803)
Epoch: [24][2600/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.6218 (2.5421)	Prec@1 34.500 (37.793)	Prec@5 66.000 (68.792)
Epoch: [24][2610/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.6556 (2.5419)	Prec@1 35.000 (37.796)	Prec@5 67.500 (68.792)
Epoch: [24][2620/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.9049 (2.5420)	Prec@1 31.500 (37.793)	Prec@5 60.000 (68.789)
Epoch: [24][2630/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.7103 (2.5422)	Prec@1 36.000 (37.788)	Prec@5 65.000 (68.784)
Epoch: [24][2640/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5456 (2.5420)	Prec@1 39.500 (37.786)	Prec@5 67.000 (68.782)
Epoch: [24][2650/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.9113 (2.5421)	Prec@1 26.500 (37.786)	Prec@5 63.000 (68.777)
Epoch: [24][2660/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.8467 (2.5421)	Prec@1 33.500 (37.783)	Prec@5 62.500 (68.774)
Epoch: [24][2670/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.2590 (2.5421)	Prec@1 47.500 (37.783)	Prec@5 73.000 (68.775)
Epoch: [24][2680/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6369 (2.5423)	Prec@1 37.000 (37.781)	Prec@5 66.000 (68.770)
Epoch: [24][2690/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.7252 (2.5423)	Prec@1 36.000 (37.782)	Prec@5 65.000 (68.765)
Epoch: [24][2700/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5972 (2.5424)	Prec@1 38.000 (37.780)	Prec@5 64.000 (68.757)
Epoch: [24][2710/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.3395 (2.5422)	Prec@1 41.500 (37.785)	Prec@5 72.500 (68.764)
Epoch: [24][2720/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.4395 (2.5422)	Prec@1 38.500 (37.784)	Prec@5 70.000 (68.760)
Epoch: [24][2730/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.5839 (2.5423)	Prec@1 35.500 (37.781)	Prec@5 68.500 (68.755)
Epoch: [24][2740/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.2550 (2.5422)	Prec@1 42.000 (37.791)	Prec@5 76.500 (68.758)
Epoch: [24][2750/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5721 (2.5419)	Prec@1 35.000 (37.798)	Prec@5 67.000 (68.761)
Epoch: [24][2760/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.2675 (2.5417)	Prec@1 45.000 (37.801)	Prec@5 76.000 (68.764)
Epoch: [24][2770/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.2993 (2.5417)	Prec@1 43.500 (37.801)	Prec@5 68.500 (68.762)
Epoch: [24][2780/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5233 (2.5418)	Prec@1 45.000 (37.799)	Prec@5 65.000 (68.755)
Epoch: [24][2790/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4205 (2.5420)	Prec@1 37.000 (37.795)	Prec@5 69.000 (68.749)
Epoch: [24][2800/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4967 (2.5420)	Prec@1 39.000 (37.797)	Prec@5 68.000 (68.750)
Epoch: [24][2810/9018]	Time 0.750 (0.616)	Data 0.001 (0.002)	Loss 2.4050 (2.5423)	Prec@1 40.000 (37.795)	Prec@5 74.500 (68.746)
Epoch: [24][2820/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.5400 (2.5424)	Prec@1 37.000 (37.794)	Prec@5 68.500 (68.741)
Epoch: [24][2830/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4710 (2.5427)	Prec@1 39.500 (37.789)	Prec@5 69.000 (68.738)
Epoch: [24][2840/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.5940 (2.5425)	Prec@1 38.000 (37.791)	Prec@5 68.500 (68.742)
Epoch: [24][2850/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.3881 (2.5426)	Prec@1 39.000 (37.790)	Prec@5 72.500 (68.739)
Epoch: [24][2860/9018]	Time 0.718 (0.616)	Data 0.001 (0.002)	Loss 2.4891 (2.5423)	Prec@1 42.500 (37.796)	Prec@5 67.500 (68.741)
Epoch: [24][2870/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6779 (2.5426)	Prec@1 34.500 (37.788)	Prec@5 65.500 (68.735)
Epoch: [24][2880/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.4676 (2.5426)	Prec@1 39.500 (37.788)	Prec@5 66.500 (68.734)
Epoch: [24][2890/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.6308 (2.5426)	Prec@1 37.500 (37.786)	Prec@5 66.500 (68.735)
Epoch: [24][2900/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6281 (2.5426)	Prec@1 35.500 (37.788)	Prec@5 67.000 (68.734)
Epoch: [24][2910/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4451 (2.5428)	Prec@1 39.000 (37.785)	Prec@5 71.000 (68.729)
Epoch: [24][2920/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.5746 (2.5430)	Prec@1 35.500 (37.780)	Prec@5 69.500 (68.727)
Epoch: [24][2930/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5502 (2.5431)	Prec@1 33.000 (37.775)	Prec@5 71.000 (68.726)
Epoch: [24][2940/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6505 (2.5429)	Prec@1 37.000 (37.780)	Prec@5 68.000 (68.732)
Epoch: [24][2950/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6993 (2.5430)	Prec@1 35.500 (37.780)	Prec@5 68.500 (68.728)
Epoch: [24][2960/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.4757 (2.5430)	Prec@1 42.500 (37.784)	Prec@5 70.000 (68.732)
Epoch: [24][2970/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.5252 (2.5429)	Prec@1 40.000 (37.781)	Prec@5 68.500 (68.733)
Epoch: [24][2980/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.3876 (2.5427)	Prec@1 39.000 (37.784)	Prec@5 69.000 (68.736)
Epoch: [24][2990/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.3763 (2.5428)	Prec@1 38.500 (37.779)	Prec@5 70.500 (68.735)
Epoch: [24][3000/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.2684 (2.5427)	Prec@1 40.500 (37.779)	Prec@5 72.500 (68.735)
Epoch: [24][3010/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7123 (2.5425)	Prec@1 31.000 (37.782)	Prec@5 68.000 (68.739)
Epoch: [24][3020/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.5643 (2.5423)	Prec@1 37.000 (37.785)	Prec@5 68.000 (68.742)
Epoch: [24][3030/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.5744 (2.5424)	Prec@1 36.000 (37.784)	Prec@5 67.500 (68.739)
Epoch: [24][3040/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.8303 (2.5425)	Prec@1 30.500 (37.783)	Prec@5 65.500 (68.734)
Epoch: [24][3050/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4792 (2.5425)	Prec@1 42.000 (37.785)	Prec@5 68.500 (68.731)
Epoch: [24][3060/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.8407 (2.5426)	Prec@1 31.000 (37.782)	Prec@5 63.000 (68.731)
Epoch: [24][3070/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.4775 (2.5427)	Prec@1 36.000 (37.775)	Prec@5 70.500 (68.727)
Epoch: [24][3080/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 2.5686 (2.5427)	Prec@1 36.500 (37.775)	Prec@5 69.000 (68.729)
Epoch: [24][3090/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.7459 (2.5427)	Prec@1 32.000 (37.777)	Prec@5 67.000 (68.731)
Epoch: [24][3100/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.7195 (2.5428)	Prec@1 34.500 (37.777)	Prec@5 66.000 (68.726)
Epoch: [24][3110/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4795 (2.5427)	Prec@1 42.000 (37.785)	Prec@5 69.000 (68.724)
Epoch: [24][3120/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6834 (2.5426)	Prec@1 35.000 (37.785)	Prec@5 65.000 (68.727)
Epoch: [24][3130/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5950 (2.5428)	Prec@1 34.000 (37.784)	Prec@5 67.000 (68.725)
Epoch: [24][3140/9018]	Time 0.736 (0.615)	Data 0.001 (0.002)	Loss 2.5610 (2.5429)	Prec@1 35.500 (37.782)	Prec@5 67.500 (68.725)
Epoch: [24][3150/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.3076 (2.5430)	Prec@1 41.000 (37.782)	Prec@5 72.000 (68.722)
Epoch: [24][3160/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5278 (2.5432)	Prec@1 36.000 (37.781)	Prec@5 70.000 (68.718)
Epoch: [24][3170/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.7649 (2.5433)	Prec@1 37.000 (37.777)	Prec@5 62.000 (68.716)
Epoch: [24][3180/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5055 (2.5433)	Prec@1 37.500 (37.776)	Prec@5 69.000 (68.716)
Epoch: [24][3190/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.7709 (2.5436)	Prec@1 39.500 (37.768)	Prec@5 65.000 (68.715)
Epoch: [24][3200/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.8880 (2.5436)	Prec@1 35.500 (37.772)	Prec@5 65.000 (68.716)
Epoch: [24][3210/9018]	Time 0.649 (0.615)	Data 0.001 (0.001)	Loss 2.5524 (2.5437)	Prec@1 37.000 (37.773)	Prec@5 71.000 (68.715)
Epoch: [24][3220/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4603 (2.5436)	Prec@1 37.500 (37.775)	Prec@5 74.500 (68.718)
Epoch: [24][3230/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7554 (2.5436)	Prec@1 31.000 (37.773)	Prec@5 63.500 (68.719)
Epoch: [24][3240/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5079 (2.5437)	Prec@1 35.000 (37.772)	Prec@5 66.000 (68.714)
Epoch: [24][3250/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6398 (2.5437)	Prec@1 38.000 (37.771)	Prec@5 64.500 (68.715)
Epoch: [24][3260/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5286 (2.5436)	Prec@1 38.500 (37.779)	Prec@5 69.000 (68.718)
Epoch: [24][3270/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6146 (2.5436)	Prec@1 38.000 (37.779)	Prec@5 67.000 (68.716)
Epoch: [24][3280/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5655 (2.5435)	Prec@1 35.000 (37.783)	Prec@5 69.000 (68.719)
Epoch: [24][3290/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7388 (2.5436)	Prec@1 32.500 (37.781)	Prec@5 63.000 (68.718)
Epoch: [24][3300/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.6139 (2.5437)	Prec@1 37.000 (37.781)	Prec@5 66.500 (68.716)
Epoch: [24][3310/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.4020 (2.5438)	Prec@1 35.000 (37.778)	Prec@5 72.500 (68.714)
Epoch: [24][3320/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7009 (2.5437)	Prec@1 38.000 (37.785)	Prec@5 65.500 (68.718)
Epoch: [24][3330/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.8011 (2.5438)	Prec@1 41.500 (37.784)	Prec@5 63.000 (68.712)
Epoch: [24][3340/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.5454 (2.5437)	Prec@1 39.000 (37.786)	Prec@5 66.000 (68.713)
Epoch: [24][3350/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.5711 (2.5439)	Prec@1 35.000 (37.782)	Prec@5 68.000 (68.712)
Epoch: [24][3360/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.6822 (2.5440)	Prec@1 38.500 (37.783)	Prec@5 66.500 (68.707)
Epoch: [24][3370/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.7353 (2.5440)	Prec@1 32.500 (37.782)	Prec@5 62.500 (68.709)
Epoch: [24][3380/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.3824 (2.5441)	Prec@1 39.000 (37.780)	Prec@5 76.000 (68.709)
Epoch: [24][3390/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.6047 (2.5441)	Prec@1 36.000 (37.780)	Prec@5 64.500 (68.706)
Epoch: [24][3400/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.6007 (2.5441)	Prec@1 33.500 (37.781)	Prec@5 69.000 (68.707)
Epoch: [24][3410/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.3453 (2.5442)	Prec@1 46.000 (37.781)	Prec@5 69.000 (68.702)
Epoch: [24][3420/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.7034 (2.5444)	Prec@1 33.500 (37.777)	Prec@5 65.500 (68.699)
Epoch: [24][3430/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.7595 (2.5443)	Prec@1 32.500 (37.781)	Prec@5 67.000 (68.699)
Epoch: [24][3440/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.7949 (2.5441)	Prec@1 31.000 (37.784)	Prec@5 63.000 (68.702)
Epoch: [24][3450/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.6564 (2.5440)	Prec@1 35.000 (37.786)	Prec@5 67.500 (68.708)
Epoch: [24][3460/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.6014 (2.5441)	Prec@1 38.000 (37.783)	Prec@5 68.000 (68.707)
Epoch: [24][3470/9018]	Time 0.761 (0.616)	Data 0.001 (0.001)	Loss 2.3499 (2.5440)	Prec@1 40.500 (37.783)	Prec@5 71.500 (68.707)
Epoch: [24][3480/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.5899 (2.5439)	Prec@1 37.000 (37.786)	Prec@5 67.000 (68.707)
Epoch: [24][3490/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.7915 (2.5439)	Prec@1 32.500 (37.786)	Prec@5 58.500 (68.705)
Epoch: [24][3500/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6514 (2.5442)	Prec@1 36.000 (37.780)	Prec@5 66.500 (68.699)
Epoch: [24][3510/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.3392 (2.5439)	Prec@1 40.500 (37.782)	Prec@5 73.500 (68.708)
Epoch: [24][3520/9018]	Time 0.734 (0.616)	Data 0.001 (0.001)	Loss 2.4790 (2.5438)	Prec@1 39.000 (37.783)	Prec@5 69.500 (68.709)
Epoch: [24][3530/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.5181 (2.5436)	Prec@1 32.000 (37.783)	Prec@5 67.500 (68.710)
Epoch: [24][3540/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.7884 (2.5437)	Prec@1 32.500 (37.782)	Prec@5 65.500 (68.708)
Epoch: [24][3550/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.5778 (2.5437)	Prec@1 36.500 (37.784)	Prec@5 70.000 (68.710)
Epoch: [24][3560/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.6522 (2.5433)	Prec@1 33.000 (37.793)	Prec@5 70.500 (68.719)
Epoch: [24][3570/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.4381 (2.5432)	Prec@1 39.000 (37.795)	Prec@5 71.500 (68.720)
Epoch: [24][3580/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.4741 (2.5430)	Prec@1 35.000 (37.796)	Prec@5 70.000 (68.725)
Epoch: [24][3590/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.4649 (2.5429)	Prec@1 42.000 (37.796)	Prec@5 69.000 (68.728)
Epoch: [24][3600/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.5043 (2.5430)	Prec@1 41.000 (37.796)	Prec@5 71.000 (68.729)
Epoch: [24][3610/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.4652 (2.5430)	Prec@1 41.000 (37.799)	Prec@5 71.000 (68.726)
Epoch: [24][3620/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.5792 (2.5429)	Prec@1 37.000 (37.800)	Prec@5 68.500 (68.726)
Epoch: [24][3630/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.5044 (2.5427)	Prec@1 35.000 (37.799)	Prec@5 71.000 (68.729)
Epoch: [24][3640/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.3400 (2.5429)	Prec@1 43.500 (37.800)	Prec@5 76.500 (68.728)
Epoch: [24][3650/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.5895 (2.5429)	Prec@1 36.000 (37.795)	Prec@5 69.500 (68.725)
Epoch: [24][3660/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.4903 (2.5428)	Prec@1 39.000 (37.800)	Prec@5 70.500 (68.725)
Epoch: [24][3670/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.6723 (2.5428)	Prec@1 38.000 (37.804)	Prec@5 67.000 (68.725)
Epoch: [24][3680/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6787 (2.5429)	Prec@1 39.000 (37.807)	Prec@5 64.000 (68.723)
Epoch: [24][3690/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.6686 (2.5430)	Prec@1 37.000 (37.805)	Prec@5 65.500 (68.722)
Epoch: [24][3700/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.5817 (2.5430)	Prec@1 41.500 (37.806)	Prec@5 69.000 (68.723)
Epoch: [24][3710/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.6383 (2.5429)	Prec@1 32.000 (37.807)	Prec@5 64.000 (68.724)
Epoch: [24][3720/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.7005 (2.5429)	Prec@1 34.500 (37.806)	Prec@5 66.500 (68.722)
Epoch: [24][3730/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4935 (2.5427)	Prec@1 45.000 (37.809)	Prec@5 68.000 (68.727)
Epoch: [24][3740/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.4335 (2.5427)	Prec@1 40.500 (37.810)	Prec@5 70.000 (68.723)
Epoch: [24][3750/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3694 (2.5425)	Prec@1 40.000 (37.811)	Prec@5 71.500 (68.730)
Epoch: [24][3760/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.5210 (2.5425)	Prec@1 39.000 (37.809)	Prec@5 71.000 (68.728)
Epoch: [24][3770/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5270 (2.5425)	Prec@1 36.500 (37.807)	Prec@5 67.000 (68.729)
Epoch: [24][3780/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6031 (2.5425)	Prec@1 39.000 (37.809)	Prec@5 70.500 (68.727)
Epoch: [24][3790/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5514 (2.5423)	Prec@1 36.500 (37.810)	Prec@5 71.000 (68.728)
Epoch: [24][3800/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.4084 (2.5421)	Prec@1 41.000 (37.816)	Prec@5 69.000 (68.732)
Epoch: [24][3810/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4658 (2.5421)	Prec@1 38.000 (37.810)	Prec@5 73.500 (68.733)
Epoch: [24][3820/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.6045 (2.5419)	Prec@1 38.500 (37.815)	Prec@5 67.500 (68.738)
Epoch: [24][3830/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6054 (2.5420)	Prec@1 37.000 (37.816)	Prec@5 66.500 (68.734)
Epoch: [24][3840/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.5538 (2.5421)	Prec@1 37.500 (37.812)	Prec@5 72.500 (68.732)
Epoch: [24][3850/9018]	Time 0.727 (0.616)	Data 0.001 (0.001)	Loss 2.3737 (2.5421)	Prec@1 40.000 (37.808)	Prec@5 73.000 (68.732)
Epoch: [24][3860/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.3823 (2.5421)	Prec@1 39.000 (37.809)	Prec@5 73.000 (68.731)
Epoch: [24][3870/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.4383 (2.5420)	Prec@1 39.500 (37.812)	Prec@5 70.500 (68.731)
Epoch: [24][3880/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4075 (2.5420)	Prec@1 37.000 (37.814)	Prec@5 71.500 (68.732)
Epoch: [24][3890/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3679 (2.5420)	Prec@1 43.000 (37.814)	Prec@5 74.500 (68.735)
Epoch: [24][3900/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5290 (2.5421)	Prec@1 34.000 (37.814)	Prec@5 67.500 (68.733)
Epoch: [24][3910/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.2681 (2.5421)	Prec@1 45.000 (37.811)	Prec@5 74.500 (68.735)
Epoch: [24][3920/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.6055 (2.5422)	Prec@1 39.000 (37.808)	Prec@5 69.500 (68.736)
Epoch: [24][3930/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4468 (2.5421)	Prec@1 40.500 (37.810)	Prec@5 71.000 (68.737)
Epoch: [24][3940/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.3754 (2.5421)	Prec@1 43.500 (37.812)	Prec@5 75.500 (68.738)
Epoch: [24][3950/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.8156 (2.5423)	Prec@1 34.000 (37.807)	Prec@5 66.500 (68.737)
Epoch: [24][3960/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6480 (2.5423)	Prec@1 34.500 (37.804)	Prec@5 67.500 (68.734)
Epoch: [24][3970/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6526 (2.5422)	Prec@1 37.000 (37.804)	Prec@5 68.000 (68.736)
Epoch: [24][3980/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6658 (2.5419)	Prec@1 34.000 (37.808)	Prec@5 69.500 (68.741)
Epoch: [24][3990/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6303 (2.5419)	Prec@1 40.500 (37.810)	Prec@5 67.000 (68.738)
Epoch: [24][4000/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.5327 (2.5419)	Prec@1 38.000 (37.813)	Prec@5 67.500 (68.738)
Epoch: [24][4010/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3320 (2.5418)	Prec@1 42.000 (37.817)	Prec@5 72.500 (68.738)
Epoch: [24][4020/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3534 (2.5416)	Prec@1 40.000 (37.820)	Prec@5 71.000 (68.743)
Epoch: [24][4030/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5424 (2.5415)	Prec@1 35.500 (37.822)	Prec@5 64.500 (68.742)
Epoch: [24][4040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3175 (2.5414)	Prec@1 43.500 (37.824)	Prec@5 70.000 (68.743)
Epoch: [24][4050/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4968 (2.5414)	Prec@1 38.000 (37.822)	Prec@5 71.500 (68.744)
Epoch: [24][4060/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2687 (2.5414)	Prec@1 44.000 (37.821)	Prec@5 74.000 (68.745)
Epoch: [24][4070/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.6922 (2.5414)	Prec@1 37.000 (37.822)	Prec@5 67.500 (68.744)
Epoch: [24][4080/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5740 (2.5414)	Prec@1 34.500 (37.824)	Prec@5 63.500 (68.743)
Epoch: [24][4090/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4840 (2.5414)	Prec@1 36.500 (37.822)	Prec@5 70.500 (68.746)
Epoch: [24][4100/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4180 (2.5414)	Prec@1 41.000 (37.823)	Prec@5 74.000 (68.748)
Epoch: [24][4110/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6021 (2.5415)	Prec@1 36.500 (37.827)	Prec@5 68.500 (68.747)
Epoch: [24][4120/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2537 (2.5415)	Prec@1 44.500 (37.826)	Prec@5 77.000 (68.748)
Epoch: [24][4130/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.6925 (2.5415)	Prec@1 39.500 (37.828)	Prec@5 63.000 (68.747)
Epoch: [24][4140/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5397 (2.5415)	Prec@1 38.000 (37.828)	Prec@5 69.500 (68.748)
Epoch: [24][4150/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6765 (2.5417)	Prec@1 37.000 (37.826)	Prec@5 65.500 (68.744)
Epoch: [24][4160/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6258 (2.5418)	Prec@1 40.000 (37.829)	Prec@5 67.000 (68.741)
Epoch: [24][4170/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7954 (2.5418)	Prec@1 31.500 (37.826)	Prec@5 63.500 (68.739)
Epoch: [24][4180/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.8003 (2.5419)	Prec@1 37.500 (37.826)	Prec@5 65.000 (68.737)
Epoch: [24][4190/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8921 (2.5421)	Prec@1 30.000 (37.825)	Prec@5 62.500 (68.736)
Epoch: [24][4200/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4765 (2.5421)	Prec@1 37.000 (37.823)	Prec@5 68.000 (68.734)
Epoch: [24][4210/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7376 (2.5423)	Prec@1 34.000 (37.818)	Prec@5 72.500 (68.732)
Epoch: [24][4220/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2105 (2.5423)	Prec@1 46.000 (37.820)	Prec@5 76.500 (68.735)
Epoch: [24][4230/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.6747 (2.5422)	Prec@1 38.000 (37.820)	Prec@5 63.000 (68.738)
Epoch: [24][4240/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7433 (2.5424)	Prec@1 36.000 (37.815)	Prec@5 65.000 (68.740)
Epoch: [24][4250/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5114 (2.5424)	Prec@1 41.000 (37.818)	Prec@5 69.500 (68.740)
Epoch: [24][4260/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4122 (2.5423)	Prec@1 36.500 (37.815)	Prec@5 73.000 (68.741)
Epoch: [24][4270/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7137 (2.5423)	Prec@1 36.000 (37.817)	Prec@5 67.500 (68.742)
Epoch: [24][4280/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5444 (2.5422)	Prec@1 40.500 (37.818)	Prec@5 67.500 (68.743)
Epoch: [24][4290/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5351 (2.5422)	Prec@1 39.500 (37.817)	Prec@5 69.000 (68.742)
Epoch: [24][4300/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4226 (2.5423)	Prec@1 40.000 (37.815)	Prec@5 74.000 (68.742)
Epoch: [24][4310/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3520 (2.5422)	Prec@1 40.500 (37.816)	Prec@5 72.500 (68.744)
Epoch: [24][4320/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5236 (2.5420)	Prec@1 39.500 (37.820)	Prec@5 68.500 (68.746)
Epoch: [24][4330/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6866 (2.5421)	Prec@1 34.500 (37.819)	Prec@5 67.500 (68.748)
Epoch: [24][4340/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6682 (2.5422)	Prec@1 35.500 (37.815)	Prec@5 67.000 (68.745)
Epoch: [24][4350/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6267 (2.5422)	Prec@1 36.000 (37.816)	Prec@5 66.000 (68.744)
Epoch: [24][4360/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6628 (2.5422)	Prec@1 39.000 (37.815)	Prec@5 71.500 (68.743)
Epoch: [24][4370/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6334 (2.5420)	Prec@1 35.000 (37.816)	Prec@5 66.000 (68.746)
Epoch: [24][4380/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2871 (2.5419)	Prec@1 45.000 (37.818)	Prec@5 74.000 (68.751)
Epoch: [24][4390/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5593 (2.5418)	Prec@1 36.000 (37.817)	Prec@5 66.500 (68.752)
Epoch: [24][4400/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5281 (2.5418)	Prec@1 35.000 (37.816)	Prec@5 69.000 (68.754)
Epoch: [24][4410/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5332 (2.5418)	Prec@1 40.000 (37.816)	Prec@5 67.500 (68.755)
Epoch: [24][4420/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6824 (2.5418)	Prec@1 35.500 (37.815)	Prec@5 64.000 (68.755)
Epoch: [24][4430/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6536 (2.5418)	Prec@1 31.000 (37.813)	Prec@5 70.000 (68.756)
Epoch: [24][4440/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5333 (2.5417)	Prec@1 39.500 (37.814)	Prec@5 69.000 (68.756)
Epoch: [24][4450/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5361 (2.5418)	Prec@1 37.000 (37.815)	Prec@5 73.000 (68.756)
Epoch: [24][4460/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.4112 (2.5417)	Prec@1 43.500 (37.814)	Prec@5 69.500 (68.757)
Epoch: [24][4470/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5395 (2.5419)	Prec@1 43.000 (37.812)	Prec@5 66.000 (68.754)
Epoch: [24][4480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5262 (2.5419)	Prec@1 36.500 (37.813)	Prec@5 69.500 (68.756)
Epoch: [24][4490/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5050 (2.5418)	Prec@1 44.000 (37.815)	Prec@5 69.500 (68.757)
Epoch: [24][4500/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6593 (2.5419)	Prec@1 34.500 (37.811)	Prec@5 67.000 (68.755)
Epoch: [24][4510/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.5379 (2.5418)	Prec@1 44.000 (37.815)	Prec@5 69.000 (68.760)
Epoch: [24][4520/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3486 (2.5419)	Prec@1 41.500 (37.815)	Prec@5 71.500 (68.759)
Epoch: [24][4530/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6364 (2.5421)	Prec@1 29.500 (37.811)	Prec@5 72.000 (68.756)
Epoch: [24][4540/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5730 (2.5420)	Prec@1 35.500 (37.813)	Prec@5 65.500 (68.758)
Epoch: [24][4550/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5692 (2.5420)	Prec@1 39.500 (37.813)	Prec@5 70.000 (68.758)
Epoch: [24][4560/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6467 (2.5420)	Prec@1 40.000 (37.814)	Prec@5 68.000 (68.757)
Epoch: [24][4570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5075 (2.5420)	Prec@1 42.500 (37.815)	Prec@5 67.500 (68.756)
Epoch: [24][4580/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.8261 (2.5421)	Prec@1 34.000 (37.814)	Prec@5 62.500 (68.752)
Epoch: [24][4590/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7395 (2.5421)	Prec@1 34.500 (37.814)	Prec@5 61.500 (68.750)
Epoch: [24][4600/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6969 (2.5423)	Prec@1 33.500 (37.812)	Prec@5 66.000 (68.749)
Epoch: [24][4610/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6236 (2.5423)	Prec@1 34.500 (37.808)	Prec@5 71.000 (68.751)
Epoch: [24][4620/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4439 (2.5423)	Prec@1 41.500 (37.808)	Prec@5 68.500 (68.751)
Epoch: [24][4630/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6922 (2.5422)	Prec@1 34.000 (37.807)	Prec@5 70.000 (68.753)
Epoch: [24][4640/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3948 (2.5424)	Prec@1 43.000 (37.806)	Prec@5 72.000 (68.752)
Epoch: [24][4650/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6837 (2.5423)	Prec@1 37.500 (37.809)	Prec@5 68.500 (68.755)
Epoch: [24][4660/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5685 (2.5423)	Prec@1 37.000 (37.815)	Prec@5 66.500 (68.755)
Epoch: [24][4670/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6231 (2.5424)	Prec@1 33.000 (37.811)	Prec@5 68.000 (68.754)
Epoch: [24][4680/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4939 (2.5425)	Prec@1 37.000 (37.812)	Prec@5 68.500 (68.751)
Epoch: [24][4690/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7344 (2.5427)	Prec@1 35.500 (37.811)	Prec@5 67.000 (68.747)
Epoch: [24][4700/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6707 (2.5427)	Prec@1 38.000 (37.809)	Prec@5 68.000 (68.746)
Epoch: [24][4710/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5828 (2.5427)	Prec@1 43.000 (37.812)	Prec@5 69.500 (68.743)
Epoch: [24][4720/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6656 (2.5428)	Prec@1 37.000 (37.812)	Prec@5 65.500 (68.742)
Epoch: [24][4730/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4538 (2.5425)	Prec@1 40.500 (37.818)	Prec@5 71.500 (68.749)
Epoch: [24][4740/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6643 (2.5424)	Prec@1 34.000 (37.821)	Prec@5 66.500 (68.749)
Epoch: [24][4750/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3283 (2.5422)	Prec@1 38.000 (37.824)	Prec@5 73.500 (68.750)
Epoch: [24][4760/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6005 (2.5421)	Prec@1 37.000 (37.826)	Prec@5 67.000 (68.750)
Epoch: [24][4770/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5045 (2.5421)	Prec@1 37.000 (37.825)	Prec@5 66.500 (68.749)
Epoch: [24][4780/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6423 (2.5422)	Prec@1 37.000 (37.825)	Prec@5 67.000 (68.746)
Epoch: [24][4790/9018]	Time 0.754 (0.615)	Data 0.001 (0.001)	Loss 2.6124 (2.5421)	Prec@1 38.000 (37.826)	Prec@5 65.500 (68.745)
Epoch: [24][4800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5625 (2.5421)	Prec@1 38.000 (37.825)	Prec@5 70.000 (68.745)
Epoch: [24][4810/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5653 (2.5422)	Prec@1 36.500 (37.825)	Prec@5 69.000 (68.746)
Epoch: [24][4820/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5281 (2.5422)	Prec@1 36.000 (37.826)	Prec@5 70.500 (68.747)
Epoch: [24][4830/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.3278 (2.5421)	Prec@1 40.500 (37.825)	Prec@5 70.000 (68.745)
Epoch: [24][4840/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.5583 (2.5421)	Prec@1 41.500 (37.824)	Prec@5 68.000 (68.747)
Epoch: [24][4850/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6336 (2.5422)	Prec@1 33.000 (37.824)	Prec@5 67.000 (68.747)
Epoch: [24][4860/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5636 (2.5422)	Prec@1 37.000 (37.823)	Prec@5 66.500 (68.747)
Epoch: [24][4870/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5817 (2.5423)	Prec@1 35.500 (37.820)	Prec@5 70.000 (68.745)
Epoch: [24][4880/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.2977 (2.5423)	Prec@1 43.000 (37.823)	Prec@5 75.000 (68.743)
Epoch: [24][4890/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2716 (2.5423)	Prec@1 42.000 (37.824)	Prec@5 70.000 (68.742)
Epoch: [24][4900/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6317 (2.5423)	Prec@1 34.500 (37.823)	Prec@5 66.000 (68.743)
Epoch: [24][4910/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5347 (2.5423)	Prec@1 41.000 (37.824)	Prec@5 68.500 (68.739)
Epoch: [24][4920/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4501 (2.5423)	Prec@1 39.000 (37.826)	Prec@5 72.000 (68.739)
Epoch: [24][4930/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5700 (2.5422)	Prec@1 36.000 (37.824)	Prec@5 69.000 (68.741)
Epoch: [24][4940/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7305 (2.5424)	Prec@1 31.500 (37.820)	Prec@5 62.500 (68.738)
Epoch: [24][4950/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.5123 (2.5424)	Prec@1 40.000 (37.823)	Prec@5 69.500 (68.739)
Epoch: [24][4960/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4347 (2.5425)	Prec@1 43.000 (37.822)	Prec@5 73.000 (68.736)
Epoch: [24][4970/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7361 (2.5425)	Prec@1 36.000 (37.820)	Prec@5 68.500 (68.737)
Epoch: [24][4980/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6763 (2.5425)	Prec@1 38.000 (37.818)	Prec@5 68.000 (68.738)
Epoch: [24][4990/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5805 (2.5424)	Prec@1 36.000 (37.818)	Prec@5 74.000 (68.743)
Epoch: [24][5000/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5238 (2.5424)	Prec@1 40.000 (37.819)	Prec@5 71.000 (68.743)
Epoch: [24][5010/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.2507 (2.5425)	Prec@1 43.000 (37.818)	Prec@5 76.500 (68.742)
Epoch: [24][5020/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5150 (2.5425)	Prec@1 41.000 (37.818)	Prec@5 72.500 (68.741)
Epoch: [24][5030/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5866 (2.5425)	Prec@1 34.000 (37.816)	Prec@5 67.500 (68.741)
Epoch: [24][5040/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8249 (2.5425)	Prec@1 32.000 (37.816)	Prec@5 67.000 (68.741)
Epoch: [24][5050/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4074 (2.5425)	Prec@1 42.500 (37.815)	Prec@5 70.000 (68.741)
Epoch: [24][5060/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4572 (2.5426)	Prec@1 36.500 (37.812)	Prec@5 70.500 (68.740)
Epoch: [24][5070/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7395 (2.5427)	Prec@1 32.500 (37.812)	Prec@5 64.000 (68.736)
Epoch: [24][5080/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3089 (2.5427)	Prec@1 43.000 (37.814)	Prec@5 73.000 (68.737)
Epoch: [24][5090/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6560 (2.5427)	Prec@1 32.000 (37.812)	Prec@5 70.000 (68.741)
Epoch: [24][5100/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6436 (2.5427)	Prec@1 35.500 (37.811)	Prec@5 68.000 (68.737)
Epoch: [24][5110/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5899 (2.5427)	Prec@1 39.500 (37.812)	Prec@5 66.500 (68.738)
Epoch: [24][5120/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 2.5137 (2.5427)	Prec@1 32.000 (37.812)	Prec@5 71.500 (68.738)
Epoch: [24][5130/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5997 (2.5427)	Prec@1 37.500 (37.814)	Prec@5 66.500 (68.736)
Epoch: [24][5140/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4039 (2.5426)	Prec@1 40.500 (37.815)	Prec@5 73.000 (68.739)
Epoch: [24][5150/9018]	Time 0.614 (0.615)	Data 0.003 (0.001)	Loss 2.3616 (2.5425)	Prec@1 45.500 (37.815)	Prec@5 76.500 (68.741)
Epoch: [24][5160/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5150 (2.5425)	Prec@1 40.500 (37.817)	Prec@5 68.000 (68.740)
Epoch: [24][5170/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.6670 (2.5424)	Prec@1 29.000 (37.815)	Prec@5 66.500 (68.742)
Epoch: [24][5180/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5584 (2.5423)	Prec@1 38.000 (37.817)	Prec@5 67.500 (68.743)
Epoch: [24][5190/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7461 (2.5424)	Prec@1 36.500 (37.816)	Prec@5 68.000 (68.743)
Epoch: [24][5200/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6043 (2.5424)	Prec@1 34.000 (37.811)	Prec@5 68.000 (68.741)
Epoch: [24][5210/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5119 (2.5424)	Prec@1 39.500 (37.810)	Prec@5 69.000 (68.741)
Epoch: [24][5220/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4329 (2.5424)	Prec@1 39.500 (37.808)	Prec@5 71.000 (68.739)
Epoch: [24][5230/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6852 (2.5425)	Prec@1 37.500 (37.807)	Prec@5 66.500 (68.737)
Epoch: [24][5240/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7128 (2.5424)	Prec@1 34.500 (37.808)	Prec@5 65.000 (68.739)
Epoch: [24][5250/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6361 (2.5425)	Prec@1 37.000 (37.807)	Prec@5 68.500 (68.740)
Epoch: [24][5260/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3568 (2.5425)	Prec@1 38.500 (37.805)	Prec@5 69.000 (68.740)
Epoch: [24][5270/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6313 (2.5425)	Prec@1 37.500 (37.804)	Prec@5 69.500 (68.740)
Epoch: [24][5280/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.3179 (2.5425)	Prec@1 38.500 (37.802)	Prec@5 75.000 (68.740)
Epoch: [24][5290/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4234 (2.5425)	Prec@1 38.000 (37.801)	Prec@5 70.000 (68.740)
Epoch: [24][5300/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5669 (2.5425)	Prec@1 36.500 (37.801)	Prec@5 66.000 (68.741)
Epoch: [24][5310/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5991 (2.5427)	Prec@1 40.000 (37.795)	Prec@5 67.500 (68.739)
Epoch: [24][5320/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6192 (2.5429)	Prec@1 35.000 (37.791)	Prec@5 65.000 (68.734)
Epoch: [24][5330/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5829 (2.5429)	Prec@1 30.500 (37.789)	Prec@5 71.500 (68.734)
Epoch: [24][5340/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5972 (2.5429)	Prec@1 35.000 (37.789)	Prec@5 66.500 (68.733)
Epoch: [24][5350/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3472 (2.5429)	Prec@1 36.500 (37.789)	Prec@5 72.500 (68.733)
Epoch: [24][5360/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5822 (2.5429)	Prec@1 37.500 (37.788)	Prec@5 72.500 (68.735)
Epoch: [24][5370/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3938 (2.5429)	Prec@1 39.500 (37.789)	Prec@5 72.500 (68.736)
Epoch: [24][5380/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7422 (2.5430)	Prec@1 30.500 (37.787)	Prec@5 65.000 (68.735)
Epoch: [24][5390/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4901 (2.5429)	Prec@1 38.500 (37.786)	Prec@5 69.000 (68.736)
Epoch: [24][5400/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5033 (2.5429)	Prec@1 38.000 (37.788)	Prec@5 70.000 (68.737)
Epoch: [24][5410/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7463 (2.5428)	Prec@1 32.000 (37.788)	Prec@5 67.000 (68.737)
Epoch: [24][5420/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.4254 (2.5428)	Prec@1 43.000 (37.789)	Prec@5 74.500 (68.739)
Epoch: [24][5430/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3826 (2.5426)	Prec@1 41.000 (37.793)	Prec@5 70.000 (68.742)
Epoch: [24][5440/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6474 (2.5425)	Prec@1 38.000 (37.796)	Prec@5 65.000 (68.745)
Epoch: [24][5450/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.4437 (2.5425)	Prec@1 41.000 (37.796)	Prec@5 66.500 (68.744)
Epoch: [24][5460/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6760 (2.5425)	Prec@1 33.500 (37.796)	Prec@5 67.000 (68.743)
Epoch: [24][5470/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4748 (2.5426)	Prec@1 41.500 (37.794)	Prec@5 72.000 (68.741)
Epoch: [24][5480/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8555 (2.5427)	Prec@1 34.000 (37.791)	Prec@5 64.000 (68.741)
Epoch: [24][5490/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4640 (2.5427)	Prec@1 44.500 (37.790)	Prec@5 70.500 (68.741)
Epoch: [24][5500/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.5152 (2.5425)	Prec@1 40.500 (37.790)	Prec@5 66.000 (68.743)
Epoch: [24][5510/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4940 (2.5425)	Prec@1 38.000 (37.789)	Prec@5 70.500 (68.745)
Epoch: [24][5520/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2967 (2.5425)	Prec@1 43.000 (37.792)	Prec@5 71.000 (68.745)
Epoch: [24][5530/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5449 (2.5426)	Prec@1 39.500 (37.790)	Prec@5 68.500 (68.744)
Epoch: [24][5540/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4066 (2.5426)	Prec@1 41.500 (37.789)	Prec@5 71.000 (68.744)
Epoch: [24][5550/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7561 (2.5426)	Prec@1 32.500 (37.790)	Prec@5 62.000 (68.743)
Epoch: [24][5560/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5850 (2.5426)	Prec@1 38.500 (37.791)	Prec@5 71.500 (68.743)
Epoch: [24][5570/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6990 (2.5427)	Prec@1 38.000 (37.788)	Prec@5 64.500 (68.742)
Epoch: [24][5580/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.4962 (2.5427)	Prec@1 38.500 (37.788)	Prec@5 71.500 (68.741)
Epoch: [24][5590/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5857 (2.5428)	Prec@1 36.500 (37.786)	Prec@5 68.000 (68.739)
Epoch: [24][5600/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4300 (2.5426)	Prec@1 40.500 (37.790)	Prec@5 68.500 (68.745)
Epoch: [24][5610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5346 (2.5426)	Prec@1 39.000 (37.789)	Prec@5 68.500 (68.747)
Epoch: [24][5620/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5368 (2.5425)	Prec@1 33.500 (37.789)	Prec@5 68.500 (68.751)
Epoch: [24][5630/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7415 (2.5426)	Prec@1 33.000 (37.787)	Prec@5 66.000 (68.748)
Epoch: [24][5640/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5244 (2.5427)	Prec@1 37.000 (37.785)	Prec@5 71.500 (68.744)
Epoch: [24][5650/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7037 (2.5428)	Prec@1 38.500 (37.783)	Prec@5 63.000 (68.741)
Epoch: [24][5660/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4891 (2.5429)	Prec@1 36.500 (37.780)	Prec@5 69.500 (68.742)
Epoch: [24][5670/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4945 (2.5429)	Prec@1 39.000 (37.781)	Prec@5 70.500 (68.741)
Epoch: [24][5680/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5677 (2.5428)	Prec@1 39.500 (37.783)	Prec@5 71.000 (68.743)
Epoch: [24][5690/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5835 (2.5429)	Prec@1 38.000 (37.783)	Prec@5 67.500 (68.743)
Epoch: [24][5700/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5189 (2.5431)	Prec@1 38.500 (37.781)	Prec@5 71.000 (68.743)
Epoch: [24][5710/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5634 (2.5432)	Prec@1 37.500 (37.779)	Prec@5 67.500 (68.740)
Epoch: [24][5720/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2412 (2.5432)	Prec@1 43.500 (37.778)	Prec@5 75.500 (68.739)
Epoch: [24][5730/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5062 (2.5432)	Prec@1 40.000 (37.781)	Prec@5 68.000 (68.740)
Epoch: [24][5740/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6614 (2.5432)	Prec@1 36.000 (37.782)	Prec@5 63.500 (68.741)
Epoch: [24][5750/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5578 (2.5431)	Prec@1 34.000 (37.783)	Prec@5 71.000 (68.742)
Epoch: [24][5760/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.2855 (2.5430)	Prec@1 43.000 (37.784)	Prec@5 74.000 (68.744)
Epoch: [24][5770/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5737 (2.5429)	Prec@1 39.500 (37.784)	Prec@5 69.500 (68.747)
Epoch: [24][5780/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.6991 (2.5430)	Prec@1 32.500 (37.781)	Prec@5 66.000 (68.746)
Epoch: [24][5790/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4253 (2.5431)	Prec@1 45.000 (37.777)	Prec@5 70.500 (68.745)
Epoch: [24][5800/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7459 (2.5431)	Prec@1 31.000 (37.778)	Prec@5 64.500 (68.744)
Epoch: [24][5810/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4944 (2.5430)	Prec@1 39.500 (37.783)	Prec@5 69.500 (68.745)
Epoch: [24][5820/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6305 (2.5431)	Prec@1 39.000 (37.783)	Prec@5 66.000 (68.744)
Epoch: [24][5830/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.5319 (2.5432)	Prec@1 37.000 (37.780)	Prec@5 69.000 (68.742)
Epoch: [24][5840/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4006 (2.5430)	Prec@1 41.500 (37.784)	Prec@5 71.500 (68.746)
Epoch: [24][5850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5054 (2.5428)	Prec@1 37.500 (37.786)	Prec@5 73.000 (68.750)
Epoch: [24][5860/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6927 (2.5429)	Prec@1 41.000 (37.784)	Prec@5 66.500 (68.749)
Epoch: [24][5870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4294 (2.5428)	Prec@1 42.000 (37.787)	Prec@5 68.500 (68.752)
Epoch: [24][5880/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5307 (2.5428)	Prec@1 36.500 (37.787)	Prec@5 67.500 (68.752)
Epoch: [24][5890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6905 (2.5429)	Prec@1 31.000 (37.784)	Prec@5 65.000 (68.750)
Epoch: [24][5900/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5511 (2.5429)	Prec@1 38.000 (37.784)	Prec@5 67.000 (68.751)
Epoch: [24][5910/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5383 (2.5430)	Prec@1 36.500 (37.783)	Prec@5 70.000 (68.750)
Epoch: [24][5920/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5322 (2.5429)	Prec@1 37.000 (37.782)	Prec@5 70.500 (68.749)
Epoch: [24][5930/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5207 (2.5430)	Prec@1 41.000 (37.782)	Prec@5 68.500 (68.748)
Epoch: [24][5940/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6194 (2.5430)	Prec@1 36.000 (37.781)	Prec@5 69.000 (68.749)
Epoch: [24][5950/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3499 (2.5430)	Prec@1 39.500 (37.781)	Prec@5 73.000 (68.751)
Epoch: [24][5960/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6353 (2.5431)	Prec@1 36.500 (37.781)	Prec@5 67.500 (68.750)
Epoch: [24][5970/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5403 (2.5430)	Prec@1 40.000 (37.781)	Prec@5 67.000 (68.751)
Epoch: [24][5980/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6905 (2.5431)	Prec@1 35.500 (37.781)	Prec@5 67.000 (68.748)
Epoch: [24][5990/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5204 (2.5432)	Prec@1 38.500 (37.776)	Prec@5 69.000 (68.747)
Epoch: [24][6000/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6638 (2.5432)	Prec@1 33.500 (37.775)	Prec@5 70.500 (68.747)
Epoch: [24][6010/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4693 (2.5432)	Prec@1 33.500 (37.775)	Prec@5 73.500 (68.748)
Epoch: [24][6020/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4060 (2.5431)	Prec@1 40.500 (37.775)	Prec@5 71.000 (68.753)
Epoch: [24][6030/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3170 (2.5430)	Prec@1 42.000 (37.777)	Prec@5 75.000 (68.753)
Epoch: [24][6040/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5765 (2.5431)	Prec@1 37.000 (37.776)	Prec@5 68.500 (68.751)
Epoch: [24][6050/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6994 (2.5431)	Prec@1 34.500 (37.774)	Prec@5 67.000 (68.753)
Epoch: [24][6060/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6219 (2.5433)	Prec@1 37.000 (37.769)	Prec@5 68.000 (68.751)
Epoch: [24][6070/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.3718 (2.5433)	Prec@1 39.500 (37.770)	Prec@5 70.000 (68.751)
Epoch: [24][6080/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5041 (2.5434)	Prec@1 37.500 (37.767)	Prec@5 71.500 (68.751)
Epoch: [24][6090/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4195 (2.5434)	Prec@1 41.500 (37.770)	Prec@5 74.000 (68.752)
Epoch: [24][6100/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6257 (2.5434)	Prec@1 44.500 (37.769)	Prec@5 66.000 (68.752)
Epoch: [24][6110/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.4782 (2.5434)	Prec@1 40.500 (37.768)	Prec@5 70.500 (68.750)
Epoch: [24][6120/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6227 (2.5434)	Prec@1 35.000 (37.768)	Prec@5 65.500 (68.751)
Epoch: [24][6130/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4080 (2.5433)	Prec@1 39.500 (37.769)	Prec@5 70.000 (68.751)
Epoch: [24][6140/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.5853 (2.5434)	Prec@1 38.000 (37.767)	Prec@5 67.000 (68.751)
Epoch: [24][6150/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5475 (2.5434)	Prec@1 37.500 (37.765)	Prec@5 66.500 (68.749)
Epoch: [24][6160/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.4608 (2.5434)	Prec@1 43.500 (37.763)	Prec@5 70.500 (68.749)
Epoch: [24][6170/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6156 (2.5434)	Prec@1 36.000 (37.763)	Prec@5 67.000 (68.750)
Epoch: [24][6180/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.3551 (2.5434)	Prec@1 35.000 (37.763)	Prec@5 75.500 (68.752)
Epoch: [24][6190/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6925 (2.5433)	Prec@1 34.000 (37.764)	Prec@5 67.500 (68.754)
Epoch: [24][6200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4390 (2.5432)	Prec@1 43.500 (37.768)	Prec@5 71.000 (68.756)
Epoch: [24][6210/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.3841 (2.5432)	Prec@1 44.000 (37.770)	Prec@5 68.000 (68.756)
Epoch: [24][6220/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6484 (2.5433)	Prec@1 36.000 (37.767)	Prec@5 64.500 (68.754)
Epoch: [24][6230/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6494 (2.5433)	Prec@1 35.500 (37.766)	Prec@5 68.000 (68.755)
Epoch: [24][6240/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3783 (2.5434)	Prec@1 39.000 (37.765)	Prec@5 70.500 (68.753)
Epoch: [24][6250/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6120 (2.5433)	Prec@1 39.500 (37.766)	Prec@5 64.500 (68.753)
Epoch: [24][6260/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5785 (2.5433)	Prec@1 38.000 (37.768)	Prec@5 65.500 (68.755)
Epoch: [24][6270/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5775 (2.5433)	Prec@1 32.500 (37.765)	Prec@5 67.500 (68.756)
Epoch: [24][6280/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6438 (2.5433)	Prec@1 35.500 (37.763)	Prec@5 66.000 (68.755)
Epoch: [24][6290/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4861 (2.5433)	Prec@1 40.000 (37.765)	Prec@5 71.500 (68.755)
Epoch: [24][6300/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5641 (2.5433)	Prec@1 41.000 (37.764)	Prec@5 70.000 (68.756)
Epoch: [24][6310/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5018 (2.5434)	Prec@1 43.000 (37.765)	Prec@5 69.000 (68.755)
Epoch: [24][6320/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6165 (2.5434)	Prec@1 37.500 (37.764)	Prec@5 67.000 (68.754)
Epoch: [24][6330/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6029 (2.5435)	Prec@1 38.000 (37.764)	Prec@5 68.500 (68.752)
Epoch: [24][6340/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5986 (2.5434)	Prec@1 36.000 (37.764)	Prec@5 66.500 (68.752)
Epoch: [24][6350/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7572 (2.5434)	Prec@1 34.500 (37.762)	Prec@5 66.000 (68.751)
Epoch: [24][6360/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8202 (2.5435)	Prec@1 32.500 (37.761)	Prec@5 61.000 (68.749)
Epoch: [24][6370/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4621 (2.5435)	Prec@1 41.500 (37.763)	Prec@5 72.000 (68.749)
Epoch: [24][6380/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.3906 (2.5435)	Prec@1 42.500 (37.763)	Prec@5 71.500 (68.749)
Epoch: [24][6390/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7259 (2.5434)	Prec@1 38.500 (37.765)	Prec@5 65.500 (68.750)
Epoch: [24][6400/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3361 (2.5434)	Prec@1 42.000 (37.765)	Prec@5 75.000 (68.750)
Epoch: [24][6410/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7638 (2.5435)	Prec@1 34.000 (37.764)	Prec@5 63.500 (68.750)
Epoch: [24][6420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6417 (2.5435)	Prec@1 35.500 (37.762)	Prec@5 68.500 (68.748)
Epoch: [24][6430/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7820 (2.5436)	Prec@1 33.500 (37.762)	Prec@5 64.500 (68.747)
Epoch: [24][6440/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.5149 (2.5437)	Prec@1 36.000 (37.761)	Prec@5 68.000 (68.746)
Epoch: [24][6450/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3224 (2.5436)	Prec@1 42.500 (37.762)	Prec@5 74.000 (68.748)
Epoch: [24][6460/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6110 (2.5436)	Prec@1 35.000 (37.763)	Prec@5 65.500 (68.748)
Epoch: [24][6470/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6248 (2.5436)	Prec@1 37.000 (37.763)	Prec@5 64.000 (68.748)
Epoch: [24][6480/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5462 (2.5437)	Prec@1 39.000 (37.761)	Prec@5 68.000 (68.747)
Epoch: [24][6490/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.6298 (2.5437)	Prec@1 36.500 (37.761)	Prec@5 68.000 (68.746)
Epoch: [24][6500/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5068 (2.5437)	Prec@1 40.000 (37.761)	Prec@5 69.000 (68.745)
Epoch: [24][6510/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5510 (2.5436)	Prec@1 38.500 (37.764)	Prec@5 70.000 (68.746)
Epoch: [24][6520/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6934 (2.5436)	Prec@1 34.000 (37.765)	Prec@5 65.000 (68.748)
Epoch: [24][6530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6733 (2.5436)	Prec@1 34.500 (37.765)	Prec@5 64.500 (68.746)
Epoch: [24][6540/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.6887 (2.5436)	Prec@1 36.500 (37.767)	Prec@5 69.000 (68.745)
Epoch: [24][6550/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5232 (2.5436)	Prec@1 38.500 (37.769)	Prec@5 67.500 (68.745)
Epoch: [24][6560/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4268 (2.5435)	Prec@1 38.500 (37.770)	Prec@5 70.000 (68.745)
Epoch: [24][6570/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4397 (2.5435)	Prec@1 41.500 (37.769)	Prec@5 69.500 (68.744)
Epoch: [24][6580/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4121 (2.5435)	Prec@1 42.000 (37.771)	Prec@5 71.500 (68.745)
Epoch: [24][6590/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6334 (2.5434)	Prec@1 35.500 (37.771)	Prec@5 63.500 (68.746)
Epoch: [24][6600/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4649 (2.5434)	Prec@1 37.000 (37.771)	Prec@5 68.500 (68.744)
Epoch: [24][6610/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7439 (2.5435)	Prec@1 35.500 (37.769)	Prec@5 65.000 (68.742)
Epoch: [24][6620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4832 (2.5435)	Prec@1 36.000 (37.770)	Prec@5 70.500 (68.743)
Epoch: [24][6630/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5021 (2.5435)	Prec@1 41.000 (37.770)	Prec@5 70.000 (68.744)
Epoch: [24][6640/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8558 (2.5435)	Prec@1 39.500 (37.772)	Prec@5 60.500 (68.742)
Epoch: [24][6650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5517 (2.5435)	Prec@1 38.500 (37.773)	Prec@5 69.000 (68.742)
Epoch: [24][6660/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6489 (2.5434)	Prec@1 37.000 (37.775)	Prec@5 66.500 (68.741)
Epoch: [24][6670/9018]	Time 0.643 (0.615)	Data 0.001 (0.001)	Loss 2.6618 (2.5436)	Prec@1 38.500 (37.771)	Prec@5 66.500 (68.739)
Epoch: [24][6680/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.6528 (2.5436)	Prec@1 39.000 (37.772)	Prec@5 66.500 (68.738)
Epoch: [24][6690/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4339 (2.5436)	Prec@1 38.000 (37.772)	Prec@5 71.000 (68.738)
Epoch: [24][6700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5267 (2.5437)	Prec@1 34.000 (37.767)	Prec@5 71.000 (68.737)
Epoch: [24][6710/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6295 (2.5437)	Prec@1 34.500 (37.767)	Prec@5 66.500 (68.736)
Epoch: [24][6720/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6016 (2.5436)	Prec@1 34.000 (37.768)	Prec@5 69.000 (68.738)
Epoch: [24][6730/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5317 (2.5437)	Prec@1 36.500 (37.766)	Prec@5 63.500 (68.735)
Epoch: [24][6740/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7094 (2.5438)	Prec@1 36.000 (37.766)	Prec@5 68.000 (68.733)
Epoch: [24][6750/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6564 (2.5439)	Prec@1 41.500 (37.764)	Prec@5 70.000 (68.731)
Epoch: [24][6760/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7543 (2.5439)	Prec@1 34.000 (37.764)	Prec@5 63.500 (68.730)
Epoch: [24][6770/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.6433 (2.5439)	Prec@1 33.500 (37.766)	Prec@5 69.000 (68.732)
Epoch: [24][6780/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6741 (2.5439)	Prec@1 35.500 (37.764)	Prec@5 66.500 (68.733)
Epoch: [24][6790/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4805 (2.5439)	Prec@1 41.000 (37.764)	Prec@5 70.000 (68.733)
Epoch: [24][6800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5285 (2.5439)	Prec@1 35.000 (37.763)	Prec@5 67.500 (68.731)
Epoch: [24][6810/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7071 (2.5440)	Prec@1 37.500 (37.762)	Prec@5 63.000 (68.729)
Epoch: [24][6820/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.7513 (2.5439)	Prec@1 36.000 (37.764)	Prec@5 65.500 (68.731)
Epoch: [24][6830/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4640 (2.5439)	Prec@1 40.500 (37.764)	Prec@5 72.000 (68.731)
Epoch: [24][6840/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4040 (2.5439)	Prec@1 35.500 (37.766)	Prec@5 71.000 (68.732)
Epoch: [24][6850/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4791 (2.5439)	Prec@1 37.000 (37.765)	Prec@5 74.000 (68.730)
Epoch: [24][6860/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6350 (2.5440)	Prec@1 34.000 (37.765)	Prec@5 66.000 (68.728)
Epoch: [24][6870/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7247 (2.5440)	Prec@1 34.500 (37.767)	Prec@5 64.500 (68.729)
Epoch: [24][6880/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.5181 (2.5440)	Prec@1 43.000 (37.767)	Prec@5 68.000 (68.728)
Epoch: [24][6890/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4813 (2.5441)	Prec@1 39.500 (37.767)	Prec@5 71.000 (68.726)
Epoch: [24][6900/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6502 (2.5440)	Prec@1 33.000 (37.767)	Prec@5 68.000 (68.728)
Epoch: [24][6910/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5118 (2.5440)	Prec@1 42.000 (37.767)	Prec@5 67.000 (68.727)
Epoch: [24][6920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5973 (2.5440)	Prec@1 34.000 (37.767)	Prec@5 67.500 (68.729)
Epoch: [24][6930/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5040 (2.5440)	Prec@1 39.000 (37.769)	Prec@5 70.500 (68.728)
Epoch: [24][6940/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6605 (2.5439)	Prec@1 39.000 (37.769)	Prec@5 67.500 (68.729)
Epoch: [24][6950/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6054 (2.5439)	Prec@1 37.500 (37.769)	Prec@5 66.500 (68.731)
Epoch: [24][6960/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4866 (2.5439)	Prec@1 34.000 (37.768)	Prec@5 71.500 (68.732)
Epoch: [24][6970/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6517 (2.5440)	Prec@1 36.500 (37.767)	Prec@5 66.500 (68.730)
Epoch: [24][6980/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5534 (2.5439)	Prec@1 40.000 (37.768)	Prec@5 67.500 (68.731)
Epoch: [24][6990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4585 (2.5439)	Prec@1 43.500 (37.768)	Prec@5 68.500 (68.730)
Epoch: [24][7000/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7397 (2.5439)	Prec@1 37.000 (37.768)	Prec@5 66.000 (68.731)
Epoch: [24][7010/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5094 (2.5439)	Prec@1 39.000 (37.770)	Prec@5 70.000 (68.732)
Epoch: [24][7020/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7384 (2.5440)	Prec@1 32.500 (37.767)	Prec@5 65.500 (68.732)
Epoch: [24][7030/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6200 (2.5441)	Prec@1 33.000 (37.765)	Prec@5 66.000 (68.729)
Epoch: [24][7040/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5953 (2.5442)	Prec@1 35.500 (37.763)	Prec@5 69.000 (68.729)
Epoch: [24][7050/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3373 (2.5441)	Prec@1 41.000 (37.763)	Prec@5 75.500 (68.730)
Epoch: [24][7060/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3962 (2.5441)	Prec@1 42.000 (37.763)	Prec@5 70.500 (68.732)
Epoch: [24][7070/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5420 (2.5442)	Prec@1 39.000 (37.760)	Prec@5 68.500 (68.730)
Epoch: [24][7080/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5668 (2.5442)	Prec@1 34.500 (37.760)	Prec@5 67.000 (68.730)
Epoch: [24][7090/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5310 (2.5442)	Prec@1 35.500 (37.759)	Prec@5 68.500 (68.730)
Epoch: [24][7100/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.5750 (2.5443)	Prec@1 38.000 (37.757)	Prec@5 69.000 (68.728)
Epoch: [24][7110/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4756 (2.5443)	Prec@1 35.500 (37.755)	Prec@5 69.500 (68.727)
Epoch: [24][7120/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4783 (2.5442)	Prec@1 35.000 (37.757)	Prec@5 71.000 (68.729)
Epoch: [24][7130/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5077 (2.5443)	Prec@1 33.500 (37.755)	Prec@5 70.000 (68.728)
Epoch: [24][7140/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5429 (2.5443)	Prec@1 41.500 (37.755)	Prec@5 69.000 (68.728)
Epoch: [24][7150/9018]	Time 0.710 (0.615)	Data 0.001 (0.001)	Loss 2.5150 (2.5442)	Prec@1 36.000 (37.756)	Prec@5 65.500 (68.729)
Epoch: [24][7160/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7397 (2.5444)	Prec@1 32.500 (37.753)	Prec@5 65.000 (68.726)
Epoch: [24][7170/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4682 (2.5443)	Prec@1 39.000 (37.752)	Prec@5 72.500 (68.727)
Epoch: [24][7180/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7523 (2.5444)	Prec@1 31.000 (37.747)	Prec@5 63.500 (68.724)
Epoch: [24][7190/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6457 (2.5445)	Prec@1 37.500 (37.745)	Prec@5 67.000 (68.722)
Epoch: [24][7200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7821 (2.5446)	Prec@1 32.500 (37.742)	Prec@5 64.500 (68.719)
Epoch: [24][7210/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5648 (2.5446)	Prec@1 37.000 (37.744)	Prec@5 68.000 (68.719)
Epoch: [24][7220/9018]	Time 0.587 (0.615)	Data 0.001 (0.001)	Loss 2.6742 (2.5447)	Prec@1 33.000 (37.742)	Prec@5 67.000 (68.718)
Epoch: [24][7230/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3924 (2.5447)	Prec@1 42.500 (37.742)	Prec@5 70.500 (68.718)
Epoch: [24][7240/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2759 (2.5447)	Prec@1 46.000 (37.742)	Prec@5 68.500 (68.716)
Epoch: [24][7250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3918 (2.5447)	Prec@1 41.000 (37.742)	Prec@5 72.000 (68.716)
Epoch: [24][7260/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4543 (2.5447)	Prec@1 35.500 (37.740)	Prec@5 68.500 (68.715)
Epoch: [24][7270/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2441 (2.5446)	Prec@1 42.500 (37.742)	Prec@5 75.000 (68.717)
Epoch: [24][7280/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5438 (2.5446)	Prec@1 40.000 (37.744)	Prec@5 69.500 (68.717)
Epoch: [24][7290/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6832 (2.5446)	Prec@1 39.000 (37.745)	Prec@5 63.500 (68.717)
Epoch: [24][7300/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4226 (2.5445)	Prec@1 39.500 (37.746)	Prec@5 70.500 (68.717)
Epoch: [24][7310/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4357 (2.5444)	Prec@1 45.500 (37.749)	Prec@5 70.500 (68.720)
Epoch: [24][7320/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4359 (2.5443)	Prec@1 39.500 (37.751)	Prec@5 71.000 (68.721)
Epoch: [24][7330/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.2835 (2.5443)	Prec@1 39.500 (37.749)	Prec@5 74.500 (68.721)
Epoch: [24][7340/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4999 (2.5442)	Prec@1 39.000 (37.749)	Prec@5 69.000 (68.721)
Epoch: [24][7350/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5196 (2.5443)	Prec@1 39.500 (37.749)	Prec@5 73.000 (68.721)
Epoch: [24][7360/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5788 (2.5443)	Prec@1 36.000 (37.748)	Prec@5 66.000 (68.722)
Epoch: [24][7370/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7806 (2.5442)	Prec@1 33.000 (37.748)	Prec@5 63.000 (68.723)
Epoch: [24][7380/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.3190 (2.5442)	Prec@1 41.500 (37.748)	Prec@5 70.500 (68.723)
Epoch: [24][7390/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6935 (2.5443)	Prec@1 36.500 (37.746)	Prec@5 67.000 (68.721)
Epoch: [24][7400/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6696 (2.5443)	Prec@1 35.500 (37.746)	Prec@5 63.500 (68.721)
Epoch: [24][7410/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4255 (2.5443)	Prec@1 43.000 (37.745)	Prec@5 68.500 (68.721)
Epoch: [24][7420/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5205 (2.5443)	Prec@1 38.000 (37.746)	Prec@5 70.000 (68.721)
Epoch: [24][7430/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.6471 (2.5444)	Prec@1 30.000 (37.744)	Prec@5 65.500 (68.719)
Epoch: [24][7440/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.1320 (2.5444)	Prec@1 42.000 (37.743)	Prec@5 74.500 (68.719)
Epoch: [24][7450/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4170 (2.5444)	Prec@1 38.500 (37.742)	Prec@5 70.000 (68.718)
Epoch: [24][7460/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4496 (2.5444)	Prec@1 39.500 (37.741)	Prec@5 70.000 (68.719)
Epoch: [24][7470/9018]	Time 0.592 (0.615)	Data 0.002 (0.001)	Loss 2.8580 (2.5445)	Prec@1 34.500 (37.742)	Prec@5 59.000 (68.718)
Epoch: [24][7480/9018]	Time 0.755 (0.615)	Data 0.001 (0.001)	Loss 2.6884 (2.5444)	Prec@1 38.500 (37.744)	Prec@5 64.000 (68.719)
Epoch: [24][7490/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4956 (2.5444)	Prec@1 33.500 (37.744)	Prec@5 69.000 (68.720)
Epoch: [24][7500/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4674 (2.5443)	Prec@1 40.000 (37.746)	Prec@5 69.000 (68.721)
Epoch: [24][7510/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5448 (2.5443)	Prec@1 37.000 (37.746)	Prec@5 70.500 (68.721)
Epoch: [24][7520/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6579 (2.5442)	Prec@1 38.500 (37.748)	Prec@5 67.000 (68.721)
Epoch: [24][7530/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6603 (2.5442)	Prec@1 35.000 (37.751)	Prec@5 66.000 (68.722)
Epoch: [24][7540/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7683 (2.5442)	Prec@1 33.000 (37.749)	Prec@5 64.000 (68.724)
Epoch: [24][7550/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6399 (2.5442)	Prec@1 33.500 (37.749)	Prec@5 66.500 (68.720)
Epoch: [24][7560/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4356 (2.5442)	Prec@1 37.500 (37.751)	Prec@5 68.500 (68.720)
Epoch: [24][7570/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7182 (2.5443)	Prec@1 34.500 (37.749)	Prec@5 64.000 (68.718)
Epoch: [24][7580/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5304 (2.5443)	Prec@1 36.500 (37.749)	Prec@5 70.000 (68.717)
Epoch: [24][7590/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5370 (2.5444)	Prec@1 36.000 (37.746)	Prec@5 68.000 (68.716)
Epoch: [24][7600/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6164 (2.5444)	Prec@1 36.000 (37.745)	Prec@5 68.500 (68.716)
Epoch: [24][7610/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.2577 (2.5443)	Prec@1 43.500 (37.748)	Prec@5 73.000 (68.717)
Epoch: [24][7620/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5455 (2.5442)	Prec@1 38.500 (37.748)	Prec@5 69.500 (68.718)
Epoch: [24][7630/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4824 (2.5443)	Prec@1 38.500 (37.748)	Prec@5 71.500 (68.717)
Epoch: [24][7640/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6799 (2.5442)	Prec@1 32.500 (37.747)	Prec@5 65.000 (68.720)
Epoch: [24][7650/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6417 (2.5441)	Prec@1 37.500 (37.747)	Prec@5 66.500 (68.723)
Epoch: [24][7660/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4257 (2.5442)	Prec@1 40.000 (37.746)	Prec@5 70.000 (68.722)
Epoch: [24][7670/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8038 (2.5442)	Prec@1 35.500 (37.748)	Prec@5 62.000 (68.721)
Epoch: [24][7680/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6175 (2.5444)	Prec@1 33.500 (37.747)	Prec@5 66.500 (68.719)
Epoch: [24][7690/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6910 (2.5444)	Prec@1 38.500 (37.746)	Prec@5 66.500 (68.718)
Epoch: [24][7700/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5003 (2.5443)	Prec@1 40.000 (37.747)	Prec@5 68.000 (68.719)
Epoch: [24][7710/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4850 (2.5443)	Prec@1 38.000 (37.746)	Prec@5 70.500 (68.719)
Epoch: [24][7720/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5098 (2.5443)	Prec@1 36.000 (37.744)	Prec@5 71.000 (68.721)
Epoch: [24][7730/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6347 (2.5444)	Prec@1 36.000 (37.742)	Prec@5 67.500 (68.719)
Epoch: [24][7740/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5812 (2.5445)	Prec@1 41.500 (37.742)	Prec@5 68.000 (68.718)
Epoch: [24][7750/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5398 (2.5444)	Prec@1 36.500 (37.744)	Prec@5 72.000 (68.718)
Epoch: [24][7760/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.4869 (2.5443)	Prec@1 41.500 (37.745)	Prec@5 72.000 (68.721)
Epoch: [24][7770/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5031 (2.5444)	Prec@1 38.500 (37.744)	Prec@5 72.500 (68.722)
Epoch: [24][7780/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6162 (2.5443)	Prec@1 36.500 (37.747)	Prec@5 69.500 (68.725)
Epoch: [24][7790/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7586 (2.5444)	Prec@1 32.500 (37.745)	Prec@5 64.500 (68.722)
Epoch: [24][7800/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8191 (2.5444)	Prec@1 30.000 (37.742)	Prec@5 60.000 (68.723)
Epoch: [24][7810/9018]	Time 0.709 (0.615)	Data 0.001 (0.001)	Loss 2.7009 (2.5446)	Prec@1 38.000 (37.742)	Prec@5 64.000 (68.721)
Epoch: [24][7820/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5436 (2.5446)	Prec@1 38.000 (37.741)	Prec@5 68.500 (68.720)
Epoch: [24][7830/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6611 (2.5446)	Prec@1 36.500 (37.740)	Prec@5 68.500 (68.719)
Epoch: [24][7840/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3105 (2.5446)	Prec@1 41.000 (37.741)	Prec@5 71.500 (68.721)
Epoch: [24][7850/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3250 (2.5446)	Prec@1 43.500 (37.742)	Prec@5 73.500 (68.720)
Epoch: [24][7860/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5309 (2.5447)	Prec@1 37.000 (37.741)	Prec@5 69.500 (68.718)
Epoch: [24][7870/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6856 (2.5447)	Prec@1 35.500 (37.742)	Prec@5 66.000 (68.717)
Epoch: [24][7880/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6503 (2.5447)	Prec@1 34.000 (37.741)	Prec@5 68.000 (68.716)
Epoch: [24][7890/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7886 (2.5449)	Prec@1 31.000 (37.736)	Prec@5 64.000 (68.713)
Epoch: [24][7900/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4590 (2.5448)	Prec@1 36.000 (37.738)	Prec@5 70.000 (68.714)
Epoch: [24][7910/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6291 (2.5447)	Prec@1 35.000 (37.740)	Prec@5 68.500 (68.716)
Epoch: [24][7920/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5811 (2.5448)	Prec@1 36.500 (37.739)	Prec@5 66.000 (68.715)
Epoch: [24][7930/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4829 (2.5449)	Prec@1 36.500 (37.736)	Prec@5 68.000 (68.714)
Epoch: [24][7940/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5343 (2.5449)	Prec@1 40.000 (37.737)	Prec@5 66.500 (68.713)
Epoch: [24][7950/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3234 (2.5448)	Prec@1 40.000 (37.739)	Prec@5 70.500 (68.713)
Epoch: [24][7960/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5452 (2.5448)	Prec@1 37.500 (37.737)	Prec@5 67.500 (68.712)
Epoch: [24][7970/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5041 (2.5448)	Prec@1 41.000 (37.737)	Prec@5 70.000 (68.712)
Epoch: [24][7980/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4293 (2.5448)	Prec@1 45.500 (37.738)	Prec@5 68.500 (68.713)
Epoch: [24][7990/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5177 (2.5447)	Prec@1 42.000 (37.738)	Prec@5 69.500 (68.714)
Epoch: [24][8000/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.8748 (2.5448)	Prec@1 34.000 (37.739)	Prec@5 65.000 (68.714)
Epoch: [24][8010/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7550 (2.5447)	Prec@1 34.500 (37.739)	Prec@5 66.000 (68.714)
Epoch: [24][8020/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6736 (2.5448)	Prec@1 36.500 (37.738)	Prec@5 66.000 (68.711)
Epoch: [24][8030/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4996 (2.5448)	Prec@1 40.500 (37.738)	Prec@5 68.500 (68.710)
Epoch: [24][8040/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5733 (2.5449)	Prec@1 38.000 (37.739)	Prec@5 65.500 (68.707)
Epoch: [24][8050/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.3963 (2.5448)	Prec@1 43.000 (37.740)	Prec@5 73.000 (68.708)
Epoch: [24][8060/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.6704 (2.5449)	Prec@1 36.000 (37.739)	Prec@5 64.500 (68.707)
Epoch: [24][8070/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4368 (2.5449)	Prec@1 38.000 (37.738)	Prec@5 69.000 (68.707)
Epoch: [24][8080/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5726 (2.5449)	Prec@1 40.500 (37.738)	Prec@5 65.000 (68.707)
Epoch: [24][8090/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.3517 (2.5449)	Prec@1 42.000 (37.738)	Prec@5 71.500 (68.706)
Epoch: [24][8100/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.7799 (2.5449)	Prec@1 33.000 (37.738)	Prec@5 61.500 (68.706)
Epoch: [24][8110/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5364 (2.5449)	Prec@1 34.000 (37.738)	Prec@5 72.500 (68.706)
Epoch: [24][8120/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5956 (2.5449)	Prec@1 35.500 (37.737)	Prec@5 64.000 (68.707)
Epoch: [24][8130/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6714 (2.5448)	Prec@1 33.000 (37.736)	Prec@5 61.000 (68.708)
Epoch: [24][8140/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.5911 (2.5449)	Prec@1 38.500 (37.735)	Prec@5 70.500 (68.707)
Epoch: [24][8150/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4110 (2.5449)	Prec@1 34.000 (37.733)	Prec@5 71.500 (68.707)
Epoch: [24][8160/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4748 (2.5449)	Prec@1 39.000 (37.733)	Prec@5 69.500 (68.707)
Epoch: [24][8170/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5236 (2.5449)	Prec@1 39.500 (37.732)	Prec@5 68.000 (68.707)
Epoch: [24][8180/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3392 (2.5448)	Prec@1 41.500 (37.735)	Prec@5 74.500 (68.709)
Epoch: [24][8190/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4920 (2.5448)	Prec@1 44.500 (37.735)	Prec@5 73.000 (68.710)
Epoch: [24][8200/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3919 (2.5448)	Prec@1 43.000 (37.737)	Prec@5 70.000 (68.709)
Epoch: [24][8210/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8641 (2.5448)	Prec@1 32.000 (37.735)	Prec@5 61.000 (68.708)
Epoch: [24][8220/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7810 (2.5449)	Prec@1 31.500 (37.734)	Prec@5 63.500 (68.707)
Epoch: [24][8230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6048 (2.5449)	Prec@1 36.000 (37.733)	Prec@5 67.000 (68.704)
Epoch: [24][8240/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.6286 (2.5449)	Prec@1 39.500 (37.737)	Prec@5 70.000 (68.705)
Epoch: [24][8250/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6334 (2.5449)	Prec@1 39.000 (37.736)	Prec@5 70.000 (68.706)
Epoch: [24][8260/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5614 (2.5449)	Prec@1 38.000 (37.739)	Prec@5 67.000 (68.704)
Epoch: [24][8270/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5043 (2.5450)	Prec@1 39.500 (37.739)	Prec@5 71.000 (68.703)
Epoch: [24][8280/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5305 (2.5449)	Prec@1 39.000 (37.741)	Prec@5 69.500 (68.704)
Epoch: [24][8290/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3806 (2.5449)	Prec@1 40.500 (37.739)	Prec@5 71.500 (68.704)
Epoch: [24][8300/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6285 (2.5448)	Prec@1 34.000 (37.741)	Prec@5 69.000 (68.706)
Epoch: [24][8310/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8442 (2.5449)	Prec@1 32.000 (37.740)	Prec@5 66.000 (68.704)
Epoch: [24][8320/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.4818 (2.5449)	Prec@1 36.500 (37.741)	Prec@5 73.500 (68.706)
Epoch: [24][8330/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6839 (2.5449)	Prec@1 38.000 (37.740)	Prec@5 64.500 (68.704)
Epoch: [24][8340/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6128 (2.5450)	Prec@1 38.000 (37.739)	Prec@5 65.500 (68.702)
Epoch: [24][8350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6597 (2.5450)	Prec@1 35.500 (37.739)	Prec@5 66.500 (68.703)
Epoch: [24][8360/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5640 (2.5450)	Prec@1 38.500 (37.738)	Prec@5 65.500 (68.703)
Epoch: [24][8370/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6697 (2.5450)	Prec@1 35.000 (37.738)	Prec@5 65.500 (68.702)
Epoch: [24][8380/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3818 (2.5450)	Prec@1 40.500 (37.739)	Prec@5 73.500 (68.702)
Epoch: [24][8390/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7197 (2.5450)	Prec@1 31.000 (37.738)	Prec@5 68.000 (68.702)
Epoch: [24][8400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4466 (2.5450)	Prec@1 38.500 (37.739)	Prec@5 71.000 (68.702)
Epoch: [24][8410/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5251 (2.5450)	Prec@1 37.000 (37.740)	Prec@5 73.500 (68.703)
Epoch: [24][8420/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 2.4101 (2.5450)	Prec@1 43.000 (37.740)	Prec@5 70.500 (68.703)
Epoch: [24][8430/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6615 (2.5450)	Prec@1 36.000 (37.742)	Prec@5 67.000 (68.703)
Epoch: [24][8440/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7358 (2.5450)	Prec@1 32.500 (37.743)	Prec@5 63.000 (68.703)
Epoch: [24][8450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5836 (2.5449)	Prec@1 36.000 (37.745)	Prec@5 66.000 (68.703)
Epoch: [24][8460/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4551 (2.5449)	Prec@1 36.000 (37.744)	Prec@5 71.500 (68.703)
Epoch: [24][8470/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.6971 (2.5450)	Prec@1 35.000 (37.742)	Prec@5 68.500 (68.704)
Epoch: [24][8480/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6758 (2.5451)	Prec@1 35.000 (37.741)	Prec@5 69.000 (68.702)
Epoch: [24][8490/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4637 (2.5450)	Prec@1 32.500 (37.739)	Prec@5 72.500 (68.702)
Epoch: [24][8500/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7408 (2.5451)	Prec@1 34.000 (37.737)	Prec@5 67.500 (68.703)
Epoch: [24][8510/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3630 (2.5451)	Prec@1 41.500 (37.736)	Prec@5 75.000 (68.704)
Epoch: [24][8520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5768 (2.5450)	Prec@1 38.500 (37.737)	Prec@5 73.500 (68.706)
Epoch: [24][8530/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6078 (2.5450)	Prec@1 35.500 (37.736)	Prec@5 69.000 (68.706)
Epoch: [24][8540/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6874 (2.5452)	Prec@1 37.000 (37.733)	Prec@5 62.000 (68.704)
Epoch: [24][8550/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1971 (2.5452)	Prec@1 40.500 (37.733)	Prec@5 77.500 (68.702)
Epoch: [24][8560/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5851 (2.5453)	Prec@1 37.500 (37.733)	Prec@5 65.000 (68.700)
Epoch: [24][8570/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5148 (2.5453)	Prec@1 39.000 (37.735)	Prec@5 70.500 (68.700)
Epoch: [24][8580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6682 (2.5453)	Prec@1 34.500 (37.734)	Prec@5 64.000 (68.700)
Epoch: [24][8590/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6996 (2.5453)	Prec@1 39.500 (37.734)	Prec@5 65.000 (68.700)
Epoch: [24][8600/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4074 (2.5453)	Prec@1 43.500 (37.736)	Prec@5 72.500 (68.700)
Epoch: [24][8610/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6797 (2.5453)	Prec@1 35.000 (37.736)	Prec@5 64.500 (68.700)
Epoch: [24][8620/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4558 (2.5454)	Prec@1 39.000 (37.735)	Prec@5 71.000 (68.698)
Epoch: [24][8630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5744 (2.5455)	Prec@1 42.500 (37.735)	Prec@5 68.000 (68.698)
Epoch: [24][8640/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4391 (2.5455)	Prec@1 38.000 (37.734)	Prec@5 70.000 (68.696)
Epoch: [24][8650/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6530 (2.5455)	Prec@1 30.000 (37.734)	Prec@5 72.000 (68.698)
Epoch: [24][8660/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5813 (2.5455)	Prec@1 36.000 (37.734)	Prec@5 68.500 (68.700)
Epoch: [24][8670/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7947 (2.5456)	Prec@1 34.000 (37.734)	Prec@5 63.000 (68.699)
Epoch: [24][8680/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5653 (2.5456)	Prec@1 35.500 (37.732)	Prec@5 69.500 (68.699)
Epoch: [24][8690/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4702 (2.5455)	Prec@1 40.500 (37.733)	Prec@5 70.000 (68.700)
Epoch: [24][8700/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7089 (2.5456)	Prec@1 32.500 (37.732)	Prec@5 63.500 (68.698)
Epoch: [24][8710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4698 (2.5456)	Prec@1 39.500 (37.731)	Prec@5 67.500 (68.699)
Epoch: [24][8720/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5550 (2.5456)	Prec@1 39.000 (37.732)	Prec@5 68.500 (68.700)
Epoch: [24][8730/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4078 (2.5456)	Prec@1 41.500 (37.731)	Prec@5 71.500 (68.700)
Epoch: [24][8740/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5760 (2.5456)	Prec@1 39.000 (37.730)	Prec@5 66.500 (68.699)
Epoch: [24][8750/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.7228 (2.5457)	Prec@1 41.000 (37.730)	Prec@5 68.500 (68.699)
Epoch: [24][8760/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5482 (2.5458)	Prec@1 40.000 (37.729)	Prec@5 69.500 (68.698)
Epoch: [24][8770/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6692 (2.5458)	Prec@1 35.500 (37.729)	Prec@5 67.000 (68.697)
Epoch: [24][8780/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5952 (2.5458)	Prec@1 37.500 (37.727)	Prec@5 69.500 (68.697)
Epoch: [24][8790/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3418 (2.5458)	Prec@1 46.000 (37.729)	Prec@5 73.500 (68.699)
Epoch: [24][8800/9018]	Time 0.754 (0.615)	Data 0.001 (0.001)	Loss 2.3225 (2.5458)	Prec@1 45.500 (37.732)	Prec@5 73.500 (68.700)
Epoch: [24][8810/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5145 (2.5457)	Prec@1 41.000 (37.733)	Prec@5 68.500 (68.703)
Epoch: [24][8820/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6095 (2.5457)	Prec@1 33.000 (37.733)	Prec@5 70.000 (68.703)
Epoch: [24][8830/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6928 (2.5456)	Prec@1 38.000 (37.734)	Prec@5 67.500 (68.703)
Epoch: [24][8840/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5307 (2.5456)	Prec@1 38.500 (37.735)	Prec@5 68.000 (68.703)
Epoch: [24][8850/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5677 (2.5456)	Prec@1 44.500 (37.736)	Prec@5 67.500 (68.703)
Epoch: [24][8860/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6480 (2.5457)	Prec@1 39.000 (37.736)	Prec@5 66.500 (68.701)
Epoch: [24][8870/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4721 (2.5457)	Prec@1 41.000 (37.736)	Prec@5 66.000 (68.701)
Epoch: [24][8880/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5079 (2.5457)	Prec@1 41.500 (37.736)	Prec@5 68.000 (68.702)
Epoch: [24][8890/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5101 (2.5457)	Prec@1 37.000 (37.735)	Prec@5 68.000 (68.701)
Epoch: [24][8900/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6388 (2.5458)	Prec@1 37.500 (37.733)	Prec@5 68.500 (68.700)
Epoch: [24][8910/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4933 (2.5459)	Prec@1 38.000 (37.732)	Prec@5 72.500 (68.698)
Epoch: [24][8920/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5746 (2.5458)	Prec@1 38.000 (37.731)	Prec@5 66.000 (68.699)
Epoch: [24][8930/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2642 (2.5459)	Prec@1 38.500 (37.730)	Prec@5 79.000 (68.700)
Epoch: [24][8940/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6094 (2.5459)	Prec@1 40.500 (37.729)	Prec@5 67.000 (68.701)
Epoch: [24][8950/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4747 (2.5459)	Prec@1 33.000 (37.728)	Prec@5 71.000 (68.702)
Epoch: [24][8960/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5879 (2.5459)	Prec@1 33.000 (37.727)	Prec@5 67.500 (68.701)
Epoch: [24][8970/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3039 (2.5458)	Prec@1 38.000 (37.726)	Prec@5 74.500 (68.702)
Epoch: [24][8980/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6230 (2.5459)	Prec@1 34.500 (37.725)	Prec@5 65.500 (68.700)
Epoch: [24][8990/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6612 (2.5459)	Prec@1 36.500 (37.725)	Prec@5 66.000 (68.699)
Epoch: [24][9000/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4923 (2.5459)	Prec@1 40.500 (37.725)	Prec@5 67.000 (68.698)
Epoch: [24][9010/9018]	Time 0.603 (0.615)	Data 0.000 (0.001)	Loss 2.6386 (2.5459)	Prec@1 37.500 (37.725)	Prec@5 64.000 (68.697)
Test: [0/183]	Time 1.322 (1.322)	Loss 2.0485 (2.0485)	Prec@1 47.000 (47.000)	Prec@5 80.000 (80.000)
Test: [10/183]	Time 0.206 (0.297)	Loss 2.2261 (2.1012)	Prec@1 49.000 (44.864)	Prec@5 73.500 (77.864)
Test: [20/183]	Time 0.199 (0.252)	Loss 2.6958 (2.2441)	Prec@1 34.000 (41.524)	Prec@5 68.500 (75.738)
Test: [30/183]	Time 0.179 (0.234)	Loss 2.7653 (2.3016)	Prec@1 30.000 (41.032)	Prec@5 64.000 (74.677)
Test: [40/183]	Time 0.192 (0.223)	Loss 2.3918 (2.2837)	Prec@1 34.500 (41.866)	Prec@5 76.000 (74.354)
Test: [50/183]	Time 0.195 (0.218)	Loss 1.4072 (2.2488)	Prec@1 64.500 (42.863)	Prec@5 88.000 (74.775)
Test: [60/183]	Time 0.195 (0.214)	Loss 2.4491 (2.3259)	Prec@1 40.500 (40.992)	Prec@5 75.000 (73.238)
Test: [70/183]	Time 0.181 (0.212)	Loss 2.4984 (2.3226)	Prec@1 40.500 (41.014)	Prec@5 68.000 (73.380)
Test: [80/183]	Time 0.197 (0.210)	Loss 1.7727 (2.2995)	Prec@1 55.500 (41.698)	Prec@5 86.000 (73.506)
Test: [90/183]	Time 0.182 (0.208)	Loss 2.6379 (2.2834)	Prec@1 38.500 (41.995)	Prec@5 69.000 (73.984)
Test: [100/183]	Time 0.192 (0.207)	Loss 1.3450 (2.2896)	Prec@1 66.000 (41.757)	Prec@5 91.500 (73.926)
Test: [110/183]	Time 0.181 (0.205)	Loss 0.8080 (2.2814)	Prec@1 83.000 (42.023)	Prec@5 95.000 (74.072)
Test: [120/183]	Time 0.204 (0.205)	Loss 3.0028 (2.2873)	Prec@1 24.500 (41.707)	Prec@5 55.500 (74.079)
Test: [130/183]	Time 0.189 (0.204)	Loss 4.0663 (2.3007)	Prec@1 9.500 (41.229)	Prec@5 38.000 (74.008)
Test: [140/183]	Time 0.184 (0.203)	Loss 1.8599 (2.2860)	Prec@1 53.000 (41.560)	Prec@5 80.500 (74.411)
Test: [150/183]	Time 0.182 (0.203)	Loss 1.0740 (2.2818)	Prec@1 73.500 (41.659)	Prec@5 94.000 (74.526)
Test: [160/183]	Time 0.200 (0.202)	Loss 1.6739 (2.2650)	Prec@1 54.500 (42.242)	Prec@5 85.000 (74.773)
Test: [170/183]	Time 0.210 (0.202)	Loss 2.7385 (2.2942)	Prec@1 23.500 (41.594)	Prec@5 74.000 (74.161)
Test: [180/183]	Time 0.181 (0.202)	Loss 2.6309 (2.3046)	Prec@1 30.000 (41.378)	Prec@5 69.500 (73.950)
 * Prec@1 41.244 Prec@5 73.874
Epoch: [25][0/9018]	Time 3.054 (3.054)	Data 2.411 (2.411)	Loss 2.5496 (2.5496)	Prec@1 35.500 (35.500)	Prec@5 73.000 (73.000)
Epoch: [25][10/9018]	Time 0.592 (0.817)	Data 0.001 (0.220)	Loss 2.3772 (2.5759)	Prec@1 37.000 (37.045)	Prec@5 71.000 (68.909)
Epoch: [25][20/9018]	Time 0.594 (0.720)	Data 0.001 (0.116)	Loss 2.3960 (2.5712)	Prec@1 37.500 (36.881)	Prec@5 74.000 (68.690)
Epoch: [25][30/9018]	Time 0.626 (0.688)	Data 0.001 (0.079)	Loss 2.4679 (2.5575)	Prec@1 41.000 (36.984)	Prec@5 74.500 (69.016)
Epoch: [25][40/9018]	Time 0.597 (0.668)	Data 0.001 (0.060)	Loss 2.4200 (2.5430)	Prec@1 42.000 (37.402)	Prec@5 71.500 (69.049)
Epoch: [25][50/9018]	Time 0.594 (0.658)	Data 0.001 (0.048)	Loss 2.6762 (2.5462)	Prec@1 38.000 (37.392)	Prec@5 67.000 (68.912)
Epoch: [25][60/9018]	Time 0.627 (0.650)	Data 0.001 (0.040)	Loss 2.4047 (2.5393)	Prec@1 41.500 (37.566)	Prec@5 73.500 (69.090)
Epoch: [25][70/9018]	Time 0.589 (0.645)	Data 0.001 (0.035)	Loss 2.5314 (2.5385)	Prec@1 40.500 (37.528)	Prec@5 67.500 (69.070)
Epoch: [25][80/9018]	Time 0.627 (0.644)	Data 0.001 (0.031)	Loss 2.5905 (2.5458)	Prec@1 36.000 (37.370)	Prec@5 69.000 (68.963)
Epoch: [25][90/9018]	Time 0.599 (0.638)	Data 0.001 (0.027)	Loss 2.5945 (2.5500)	Prec@1 36.500 (37.335)	Prec@5 65.500 (68.802)
Epoch: [25][100/9018]	Time 0.604 (0.636)	Data 0.001 (0.025)	Loss 2.4613 (2.5389)	Prec@1 37.000 (37.554)	Prec@5 69.500 (69.040)
Epoch: [25][110/9018]	Time 0.630 (0.634)	Data 0.001 (0.022)	Loss 2.5129 (2.5386)	Prec@1 38.500 (37.667)	Prec@5 69.500 (69.063)
Epoch: [25][120/9018]	Time 0.601 (0.632)	Data 0.001 (0.021)	Loss 2.7991 (2.5381)	Prec@1 34.500 (37.653)	Prec@5 61.500 (69.025)
Epoch: [25][130/9018]	Time 0.599 (0.631)	Data 0.001 (0.019)	Loss 2.3640 (2.5325)	Prec@1 43.000 (37.729)	Prec@5 72.000 (69.122)
Epoch: [25][140/9018]	Time 0.599 (0.630)	Data 0.001 (0.018)	Loss 2.6345 (2.5311)	Prec@1 35.500 (37.823)	Prec@5 67.500 (69.117)
Epoch: [25][150/9018]	Time 0.596 (0.629)	Data 0.001 (0.017)	Loss 2.3428 (2.5305)	Prec@1 44.000 (37.828)	Prec@5 73.500 (69.089)
Epoch: [25][160/9018]	Time 0.753 (0.628)	Data 0.001 (0.016)	Loss 2.5610 (2.5319)	Prec@1 40.500 (37.798)	Prec@5 65.000 (69.062)
Epoch: [25][170/9018]	Time 0.610 (0.627)	Data 0.001 (0.015)	Loss 2.4312 (2.5333)	Prec@1 44.000 (37.836)	Prec@5 72.000 (69.023)
Epoch: [25][180/9018]	Time 0.634 (0.627)	Data 0.001 (0.014)	Loss 2.5500 (2.5334)	Prec@1 35.000 (37.856)	Prec@5 72.500 (69.058)
Epoch: [25][190/9018]	Time 0.592 (0.626)	Data 0.001 (0.013)	Loss 2.3949 (2.5336)	Prec@1 43.500 (37.882)	Prec@5 72.000 (69.068)
Epoch: [25][200/9018]	Time 0.593 (0.625)	Data 0.003 (0.013)	Loss 2.7596 (2.5333)	Prec@1 33.500 (37.903)	Prec@5 66.500 (69.065)
Epoch: [25][210/9018]	Time 0.739 (0.625)	Data 0.001 (0.012)	Loss 2.3886 (2.5325)	Prec@1 42.000 (37.943)	Prec@5 69.500 (69.040)
Epoch: [25][220/9018]	Time 0.618 (0.624)	Data 0.001 (0.012)	Loss 2.5259 (2.5336)	Prec@1 37.500 (37.903)	Prec@5 72.000 (68.959)
Epoch: [25][230/9018]	Time 0.592 (0.624)	Data 0.001 (0.011)	Loss 2.4093 (2.5345)	Prec@1 39.500 (37.844)	Prec@5 70.500 (68.957)
Epoch: [25][240/9018]	Time 0.629 (0.623)	Data 0.001 (0.011)	Loss 2.6077 (2.5307)	Prec@1 38.500 (37.985)	Prec@5 71.000 (69.046)
Epoch: [25][250/9018]	Time 0.594 (0.623)	Data 0.001 (0.010)	Loss 2.5549 (2.5294)	Prec@1 37.000 (38.030)	Prec@5 68.000 (69.064)
Epoch: [25][260/9018]	Time 0.597 (0.623)	Data 0.001 (0.010)	Loss 2.4147 (2.5266)	Prec@1 42.000 (38.050)	Prec@5 68.000 (69.096)
Epoch: [25][270/9018]	Time 0.622 (0.623)	Data 0.001 (0.010)	Loss 2.4543 (2.5250)	Prec@1 39.000 (38.118)	Prec@5 68.500 (69.113)
Epoch: [25][280/9018]	Time 0.601 (0.622)	Data 0.001 (0.009)	Loss 2.4776 (2.5232)	Prec@1 43.500 (38.132)	Prec@5 72.000 (69.135)
Epoch: [25][290/9018]	Time 0.605 (0.622)	Data 0.001 (0.009)	Loss 2.2250 (2.5219)	Prec@1 41.500 (38.163)	Prec@5 77.500 (69.155)
Epoch: [25][300/9018]	Time 0.595 (0.622)	Data 0.001 (0.009)	Loss 2.8304 (2.5239)	Prec@1 31.000 (38.120)	Prec@5 66.500 (69.108)
Epoch: [25][310/9018]	Time 0.598 (0.621)	Data 0.001 (0.009)	Loss 2.4134 (2.5234)	Prec@1 39.500 (38.113)	Prec@5 71.500 (69.130)
Epoch: [25][320/9018]	Time 0.625 (0.621)	Data 0.001 (0.008)	Loss 2.5034 (2.5229)	Prec@1 39.000 (38.114)	Prec@5 66.000 (69.120)
Epoch: [25][330/9018]	Time 0.595 (0.621)	Data 0.001 (0.008)	Loss 2.5953 (2.5245)	Prec@1 34.000 (38.069)	Prec@5 68.000 (69.077)
Epoch: [25][340/9018]	Time 0.602 (0.621)	Data 0.001 (0.008)	Loss 2.4617 (2.5247)	Prec@1 38.000 (38.031)	Prec@5 67.000 (69.070)
Epoch: [25][350/9018]	Time 0.612 (0.621)	Data 0.001 (0.008)	Loss 2.4845 (2.5252)	Prec@1 34.000 (37.996)	Prec@5 72.000 (69.060)
Epoch: [25][360/9018]	Time 0.595 (0.621)	Data 0.001 (0.007)	Loss 2.5324 (2.5242)	Prec@1 34.500 (38.032)	Prec@5 71.500 (69.069)
Epoch: [25][370/9018]	Time 0.601 (0.620)	Data 0.001 (0.007)	Loss 2.5923 (2.5240)	Prec@1 34.500 (38.031)	Prec@5 63.500 (69.070)
Epoch: [25][380/9018]	Time 0.600 (0.620)	Data 0.001 (0.007)	Loss 2.5335 (2.5247)	Prec@1 38.500 (38.049)	Prec@5 72.000 (69.066)
Epoch: [25][390/9018]	Time 0.602 (0.620)	Data 0.001 (0.007)	Loss 2.4641 (2.5248)	Prec@1 39.000 (38.050)	Prec@5 70.000 (69.052)
Epoch: [25][400/9018]	Time 0.628 (0.620)	Data 0.001 (0.007)	Loss 2.5386 (2.5237)	Prec@1 35.500 (38.084)	Prec@5 67.000 (69.045)
Epoch: [25][410/9018]	Time 0.621 (0.620)	Data 0.001 (0.007)	Loss 2.6542 (2.5243)	Prec@1 39.500 (38.097)	Prec@5 66.000 (69.019)
Epoch: [25][420/9018]	Time 0.601 (0.620)	Data 0.001 (0.006)	Loss 2.3910 (2.5237)	Prec@1 41.500 (38.127)	Prec@5 70.000 (69.033)
Epoch: [25][430/9018]	Time 0.604 (0.620)	Data 0.001 (0.006)	Loss 2.4510 (2.5238)	Prec@1 38.500 (38.129)	Prec@5 72.000 (69.035)
Epoch: [25][440/9018]	Time 0.605 (0.619)	Data 0.001 (0.006)	Loss 2.5004 (2.5261)	Prec@1 35.500 (38.094)	Prec@5 72.000 (69.000)
Epoch: [25][450/9018]	Time 0.638 (0.619)	Data 0.001 (0.006)	Loss 2.5900 (2.5262)	Prec@1 36.500 (38.085)	Prec@5 68.000 (69.000)
Epoch: [25][460/9018]	Time 0.590 (0.619)	Data 0.001 (0.006)	Loss 2.4588 (2.5262)	Prec@1 39.000 (38.082)	Prec@5 72.000 (69.007)
Epoch: [25][470/9018]	Time 0.599 (0.619)	Data 0.001 (0.006)	Loss 2.4214 (2.5263)	Prec@1 43.500 (38.092)	Prec@5 69.500 (68.992)
Epoch: [25][480/9018]	Time 0.627 (0.619)	Data 0.001 (0.006)	Loss 2.5046 (2.5272)	Prec@1 39.000 (38.070)	Prec@5 71.000 (68.984)
Epoch: [25][490/9018]	Time 0.729 (0.619)	Data 0.001 (0.006)	Loss 2.5875 (2.5259)	Prec@1 40.500 (38.117)	Prec@5 66.000 (69.016)
Epoch: [25][500/9018]	Time 0.607 (0.619)	Data 0.001 (0.006)	Loss 2.4137 (2.5246)	Prec@1 40.500 (38.131)	Prec@5 74.000 (69.043)
Epoch: [25][510/9018]	Time 0.600 (0.619)	Data 0.001 (0.005)	Loss 2.6143 (2.5255)	Prec@1 36.500 (38.103)	Prec@5 67.500 (69.030)
Epoch: [25][520/9018]	Time 0.619 (0.619)	Data 0.001 (0.005)	Loss 2.5267 (2.5256)	Prec@1 34.000 (38.086)	Prec@5 66.000 (69.022)
Epoch: [25][530/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 2.5660 (2.5249)	Prec@1 35.000 (38.072)	Prec@5 67.500 (69.035)
Epoch: [25][540/9018]	Time 0.733 (0.619)	Data 0.001 (0.005)	Loss 2.4627 (2.5248)	Prec@1 36.000 (38.089)	Prec@5 72.500 (69.043)
Epoch: [25][550/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 2.7509 (2.5249)	Prec@1 35.500 (38.096)	Prec@5 65.500 (69.020)
Epoch: [25][560/9018]	Time 0.599 (0.618)	Data 0.001 (0.005)	Loss 2.6918 (2.5258)	Prec@1 34.000 (38.082)	Prec@5 69.000 (69.007)
Epoch: [25][570/9018]	Time 0.625 (0.618)	Data 0.001 (0.005)	Loss 2.4138 (2.5259)	Prec@1 41.000 (38.071)	Prec@5 73.500 (69.003)
Epoch: [25][580/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 2.2736 (2.5255)	Prec@1 39.500 (38.033)	Prec@5 74.500 (69.007)
Epoch: [25][590/9018]	Time 0.605 (0.618)	Data 0.001 (0.005)	Loss 2.7251 (2.5262)	Prec@1 35.500 (38.034)	Prec@5 67.000 (68.992)
Epoch: [25][600/9018]	Time 0.613 (0.618)	Data 0.001 (0.005)	Loss 2.5315 (2.5260)	Prec@1 34.000 (37.999)	Prec@5 68.500 (69.011)
Epoch: [25][610/9018]	Time 0.602 (0.618)	Data 0.001 (0.005)	Loss 2.4966 (2.5253)	Prec@1 42.000 (38.007)	Prec@5 67.500 (69.032)
Epoch: [25][620/9018]	Time 0.602 (0.618)	Data 0.001 (0.005)	Loss 2.6140 (2.5263)	Prec@1 38.000 (37.976)	Prec@5 66.000 (68.992)
Epoch: [25][630/9018]	Time 0.593 (0.618)	Data 0.001 (0.005)	Loss 2.5797 (2.5264)	Prec@1 40.000 (37.962)	Prec@5 68.500 (68.998)
Epoch: [25][640/9018]	Time 0.636 (0.618)	Data 0.001 (0.005)	Loss 2.4557 (2.5253)	Prec@1 44.500 (37.994)	Prec@5 71.000 (69.023)
Epoch: [25][650/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 2.5163 (2.5255)	Prec@1 42.000 (37.993)	Prec@5 64.500 (69.004)
Epoch: [25][660/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 2.5086 (2.5254)	Prec@1 38.000 (38.026)	Prec@5 72.000 (69.011)
Epoch: [25][670/9018]	Time 0.629 (0.618)	Data 0.001 (0.004)	Loss 2.4376 (2.5254)	Prec@1 39.500 (38.025)	Prec@5 71.500 (69.012)
Epoch: [25][680/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 2.5646 (2.5249)	Prec@1 38.000 (38.034)	Prec@5 67.000 (69.012)
Epoch: [25][690/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 2.5275 (2.5248)	Prec@1 38.000 (38.053)	Prec@5 71.000 (69.006)
Epoch: [25][700/9018]	Time 0.624 (0.618)	Data 0.001 (0.004)	Loss 2.4698 (2.5251)	Prec@1 44.000 (38.051)	Prec@5 69.500 (69.006)
Epoch: [25][710/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 2.5092 (2.5255)	Prec@1 41.500 (38.062)	Prec@5 71.000 (68.992)
Epoch: [25][720/9018]	Time 0.636 (0.617)	Data 0.001 (0.004)	Loss 2.5702 (2.5263)	Prec@1 40.500 (38.054)	Prec@5 65.000 (68.975)
Epoch: [25][730/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.6792 (2.5269)	Prec@1 34.500 (38.034)	Prec@5 65.000 (68.973)
Epoch: [25][740/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.5128 (2.5271)	Prec@1 40.000 (38.030)	Prec@5 69.500 (68.976)
Epoch: [25][750/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.5200 (2.5264)	Prec@1 35.500 (38.032)	Prec@5 71.000 (68.997)
Epoch: [25][760/9018]	Time 0.611 (0.617)	Data 0.001 (0.004)	Loss 2.6636 (2.5266)	Prec@1 38.000 (38.034)	Prec@5 62.500 (68.986)
Epoch: [25][770/9018]	Time 0.636 (0.617)	Data 0.001 (0.004)	Loss 2.6363 (2.5270)	Prec@1 37.500 (38.030)	Prec@5 69.000 (68.989)
Epoch: [25][780/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.4527 (2.5272)	Prec@1 37.500 (38.024)	Prec@5 73.000 (68.991)
Epoch: [25][790/9018]	Time 0.630 (0.617)	Data 0.001 (0.004)	Loss 2.5559 (2.5278)	Prec@1 38.000 (38.026)	Prec@5 68.500 (68.985)
Epoch: [25][800/9018]	Time 0.592 (0.617)	Data 0.001 (0.004)	Loss 2.8369 (2.5282)	Prec@1 34.000 (38.029)	Prec@5 65.000 (68.989)
Epoch: [25][810/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.4136 (2.5281)	Prec@1 41.000 (38.028)	Prec@5 69.500 (68.995)
Epoch: [25][820/9018]	Time 0.712 (0.617)	Data 0.001 (0.004)	Loss 2.4932 (2.5276)	Prec@1 40.000 (38.034)	Prec@5 70.500 (68.999)
Epoch: [25][830/9018]	Time 0.644 (0.617)	Data 0.001 (0.004)	Loss 2.6022 (2.5276)	Prec@1 39.000 (38.037)	Prec@5 66.000 (68.999)
Epoch: [25][840/9018]	Time 0.608 (0.617)	Data 0.001 (0.004)	Loss 2.7358 (2.5283)	Prec@1 33.000 (38.037)	Prec@5 68.500 (68.980)
Epoch: [25][850/9018]	Time 0.609 (0.617)	Data 0.001 (0.004)	Loss 2.4897 (2.5292)	Prec@1 38.500 (38.014)	Prec@5 70.500 (68.976)
Epoch: [25][860/9018]	Time 0.594 (0.617)	Data 0.001 (0.004)	Loss 2.5958 (2.5304)	Prec@1 37.000 (37.988)	Prec@5 70.000 (68.958)
Epoch: [25][870/9018]	Time 0.736 (0.617)	Data 0.001 (0.004)	Loss 2.5705 (2.5311)	Prec@1 37.000 (37.977)	Prec@5 66.500 (68.939)
Epoch: [25][880/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.4792 (2.5306)	Prec@1 38.500 (37.989)	Prec@5 69.000 (68.944)
Epoch: [25][890/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.2729 (2.5302)	Prec@1 42.000 (37.991)	Prec@5 72.500 (68.955)
Epoch: [25][900/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.4689 (2.5297)	Prec@1 40.500 (38.003)	Prec@5 72.500 (68.966)
Epoch: [25][910/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 2.6503 (2.5308)	Prec@1 35.500 (37.992)	Prec@5 65.000 (68.931)
Epoch: [25][920/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.5923 (2.5304)	Prec@1 37.000 (38.002)	Prec@5 68.000 (68.938)
Epoch: [25][930/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 2.6231 (2.5302)	Prec@1 32.500 (37.996)	Prec@5 69.500 (68.947)
Epoch: [25][940/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.4910 (2.5305)	Prec@1 42.000 (37.995)	Prec@5 70.000 (68.943)
Epoch: [25][950/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.5778 (2.5304)	Prec@1 35.500 (37.989)	Prec@5 66.500 (68.953)
Epoch: [25][960/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 2.6343 (2.5302)	Prec@1 31.500 (37.986)	Prec@5 68.000 (68.972)
Epoch: [25][970/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.5818 (2.5305)	Prec@1 35.000 (37.977)	Prec@5 68.500 (68.963)
Epoch: [25][980/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.5018 (2.5303)	Prec@1 39.500 (37.974)	Prec@5 70.000 (68.972)
Epoch: [25][990/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.4763 (2.5302)	Prec@1 40.500 (37.987)	Prec@5 69.500 (68.975)
Epoch: [25][1000/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 2.5166 (2.5292)	Prec@1 34.500 (38.000)	Prec@5 69.500 (68.986)
Epoch: [25][1010/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.8137 (2.5292)	Prec@1 30.500 (38.000)	Prec@5 63.500 (68.980)
Epoch: [25][1020/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.5620 (2.5298)	Prec@1 37.000 (37.992)	Prec@5 66.000 (68.960)
Epoch: [25][1030/9018]	Time 0.626 (0.617)	Data 0.001 (0.003)	Loss 2.3749 (2.5296)	Prec@1 37.500 (37.999)	Prec@5 68.000 (68.967)
Epoch: [25][1040/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 2.5326 (2.5296)	Prec@1 37.000 (38.004)	Prec@5 66.000 (68.970)
Epoch: [25][1050/9018]	Time 0.634 (0.617)	Data 0.001 (0.003)	Loss 2.8091 (2.5301)	Prec@1 33.500 (37.996)	Prec@5 62.500 (68.962)
Epoch: [25][1060/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.4673 (2.5296)	Prec@1 36.500 (37.998)	Prec@5 74.500 (68.973)
Epoch: [25][1070/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 2.5646 (2.5302)	Prec@1 35.000 (37.980)	Prec@5 65.000 (68.955)
Epoch: [25][1080/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.4420 (2.5306)	Prec@1 38.000 (37.969)	Prec@5 75.500 (68.954)
Epoch: [25][1090/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.4873 (2.5307)	Prec@1 39.000 (37.966)	Prec@5 68.000 (68.940)
Epoch: [25][1100/9018]	Time 0.622 (0.616)	Data 0.001 (0.003)	Loss 2.8519 (2.5310)	Prec@1 34.500 (37.955)	Prec@5 63.000 (68.944)
Epoch: [25][1110/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.6900 (2.5308)	Prec@1 36.500 (37.954)	Prec@5 67.500 (68.945)
Epoch: [25][1120/9018]	Time 0.635 (0.617)	Data 0.001 (0.003)	Loss 2.3538 (2.5303)	Prec@1 43.500 (37.963)	Prec@5 71.000 (68.962)
Epoch: [25][1130/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.4882 (2.5304)	Prec@1 37.000 (37.961)	Prec@5 67.500 (68.954)
Epoch: [25][1140/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.4817 (2.5305)	Prec@1 39.500 (37.958)	Prec@5 68.500 (68.950)
Epoch: [25][1150/9018]	Time 0.724 (0.616)	Data 0.001 (0.003)	Loss 2.5083 (2.5299)	Prec@1 40.000 (37.983)	Prec@5 72.500 (68.966)
Epoch: [25][1160/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.8837 (2.5302)	Prec@1 32.500 (37.982)	Prec@5 60.500 (68.955)
Epoch: [25][1170/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.5004 (2.5302)	Prec@1 37.500 (37.985)	Prec@5 67.500 (68.967)
Epoch: [25][1180/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.7516 (2.5298)	Prec@1 36.000 (37.995)	Prec@5 65.500 (68.976)
Epoch: [25][1190/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.4772 (2.5293)	Prec@1 38.000 (38.008)	Prec@5 70.500 (68.978)
Epoch: [25][1200/9018]	Time 0.715 (0.616)	Data 0.001 (0.003)	Loss 2.7279 (2.5296)	Prec@1 32.500 (38.002)	Prec@5 67.500 (68.979)
Epoch: [25][1210/9018]	Time 0.633 (0.616)	Data 0.001 (0.003)	Loss 2.5416 (2.5296)	Prec@1 39.000 (38.009)	Prec@5 69.000 (68.975)
Epoch: [25][1220/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.3447 (2.5296)	Prec@1 43.000 (38.009)	Prec@5 71.500 (68.975)
Epoch: [25][1230/9018]	Time 0.591 (0.616)	Data 0.001 (0.003)	Loss 2.4806 (2.5292)	Prec@1 42.500 (38.022)	Prec@5 71.500 (68.987)
Epoch: [25][1240/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.6187 (2.5294)	Prec@1 37.000 (38.016)	Prec@5 66.000 (68.982)
Epoch: [25][1250/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.6518 (2.5295)	Prec@1 33.500 (38.002)	Prec@5 66.500 (68.985)
Epoch: [25][1260/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.5570 (2.5298)	Prec@1 36.500 (37.994)	Prec@5 67.000 (68.980)
Epoch: [25][1270/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.6052 (2.5295)	Prec@1 36.000 (38.001)	Prec@5 65.500 (68.982)
Epoch: [25][1280/9018]	Time 0.617 (0.616)	Data 0.001 (0.003)	Loss 2.6518 (2.5301)	Prec@1 36.500 (37.990)	Prec@5 66.500 (68.964)
Epoch: [25][1290/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 2.5032 (2.5297)	Prec@1 37.500 (37.985)	Prec@5 69.500 (68.969)
Epoch: [25][1300/9018]	Time 0.624 (0.616)	Data 0.001 (0.003)	Loss 2.6700 (2.5300)	Prec@1 41.500 (37.975)	Prec@5 67.500 (68.966)
Epoch: [25][1310/9018]	Time 0.628 (0.616)	Data 0.001 (0.003)	Loss 2.5375 (2.5304)	Prec@1 37.500 (37.978)	Prec@5 69.000 (68.960)
Epoch: [25][1320/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.7045 (2.5299)	Prec@1 37.500 (37.998)	Prec@5 63.500 (68.968)
Epoch: [25][1330/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.5069 (2.5297)	Prec@1 34.500 (37.999)	Prec@5 70.500 (68.969)
Epoch: [25][1340/9018]	Time 0.631 (0.616)	Data 0.001 (0.003)	Loss 2.6442 (2.5300)	Prec@1 31.500 (37.987)	Prec@5 64.000 (68.965)
Epoch: [25][1350/9018]	Time 0.591 (0.616)	Data 0.001 (0.003)	Loss 2.3913 (2.5301)	Prec@1 43.500 (37.988)	Prec@5 67.000 (68.959)
Epoch: [25][1360/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.7613 (2.5306)	Prec@1 38.000 (37.981)	Prec@5 62.500 (68.949)
Epoch: [25][1370/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.4980 (2.5308)	Prec@1 36.000 (37.974)	Prec@5 66.500 (68.942)
Epoch: [25][1380/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.2930 (2.5313)	Prec@1 44.500 (37.967)	Prec@5 74.000 (68.936)
Epoch: [25][1390/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.5455 (2.5311)	Prec@1 33.000 (37.965)	Prec@5 66.000 (68.939)
Epoch: [25][1400/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5848 (2.5315)	Prec@1 37.000 (37.960)	Prec@5 70.000 (68.929)
Epoch: [25][1410/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.5955 (2.5309)	Prec@1 32.000 (37.970)	Prec@5 69.500 (68.942)
Epoch: [25][1420/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7137 (2.5307)	Prec@1 30.000 (37.973)	Prec@5 67.500 (68.951)
Epoch: [25][1430/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5931 (2.5308)	Prec@1 37.500 (37.973)	Prec@5 67.500 (68.949)
Epoch: [25][1440/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.5480 (2.5309)	Prec@1 36.000 (37.974)	Prec@5 70.000 (68.943)
Epoch: [25][1450/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.8259 (2.5312)	Prec@1 31.000 (37.962)	Prec@5 61.500 (68.939)
Epoch: [25][1460/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5141 (2.5312)	Prec@1 38.000 (37.960)	Prec@5 64.000 (68.941)
Epoch: [25][1470/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6305 (2.5312)	Prec@1 34.500 (37.959)	Prec@5 63.000 (68.937)
Epoch: [25][1480/9018]	Time 0.719 (0.616)	Data 0.001 (0.002)	Loss 2.3949 (2.5312)	Prec@1 42.500 (37.953)	Prec@5 70.000 (68.940)
Epoch: [25][1490/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.3948 (2.5313)	Prec@1 38.500 (37.951)	Prec@5 72.000 (68.937)
Epoch: [25][1500/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.4495 (2.5308)	Prec@1 37.000 (37.950)	Prec@5 69.000 (68.941)
Epoch: [25][1510/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5968 (2.5307)	Prec@1 39.500 (37.959)	Prec@5 67.000 (68.942)
Epoch: [25][1520/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5915 (2.5310)	Prec@1 33.500 (37.959)	Prec@5 68.500 (68.940)
Epoch: [25][1530/9018]	Time 0.730 (0.616)	Data 0.001 (0.002)	Loss 2.7044 (2.5313)	Prec@1 34.000 (37.958)	Prec@5 65.000 (68.929)
Epoch: [25][1540/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.3522 (2.5316)	Prec@1 41.500 (37.952)	Prec@5 70.500 (68.918)
Epoch: [25][1550/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5542 (2.5317)	Prec@1 40.000 (37.961)	Prec@5 67.500 (68.913)
Epoch: [25][1560/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.5693 (2.5318)	Prec@1 35.000 (37.959)	Prec@5 68.000 (68.916)
Epoch: [25][1570/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.6794 (2.5319)	Prec@1 41.000 (37.961)	Prec@5 64.500 (68.909)
Epoch: [25][1580/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.4140 (2.5319)	Prec@1 41.000 (37.962)	Prec@5 70.500 (68.908)
Epoch: [25][1590/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.2999 (2.5317)	Prec@1 40.500 (37.962)	Prec@5 75.000 (68.908)
Epoch: [25][1600/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.6805 (2.5324)	Prec@1 40.500 (37.955)	Prec@5 62.500 (68.889)
Epoch: [25][1610/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4317 (2.5322)	Prec@1 43.000 (37.965)	Prec@5 68.500 (68.891)
Epoch: [25][1620/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.5710 (2.5322)	Prec@1 40.500 (37.963)	Prec@5 67.500 (68.889)
Epoch: [25][1630/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4210 (2.5325)	Prec@1 41.500 (37.964)	Prec@5 71.500 (68.886)
Epoch: [25][1640/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.5795 (2.5324)	Prec@1 36.500 (37.964)	Prec@5 68.000 (68.888)
Epoch: [25][1650/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4857 (2.5324)	Prec@1 35.500 (37.956)	Prec@5 74.000 (68.892)
Epoch: [25][1660/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.7071 (2.5325)	Prec@1 38.500 (37.952)	Prec@5 64.000 (68.888)
Epoch: [25][1670/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.3508 (2.5324)	Prec@1 42.500 (37.952)	Prec@5 71.500 (68.896)
Epoch: [25][1680/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.3601 (2.5325)	Prec@1 41.000 (37.948)	Prec@5 73.000 (68.896)
Epoch: [25][1690/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.5662 (2.5323)	Prec@1 40.000 (37.952)	Prec@5 73.500 (68.901)
Epoch: [25][1700/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.4969 (2.5324)	Prec@1 37.000 (37.956)	Prec@5 70.000 (68.899)
Epoch: [25][1710/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.7012 (2.5324)	Prec@1 40.000 (37.959)	Prec@5 69.000 (68.907)
Epoch: [25][1720/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.3115 (2.5325)	Prec@1 40.000 (37.958)	Prec@5 74.500 (68.910)
Epoch: [25][1730/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.6416 (2.5327)	Prec@1 36.500 (37.959)	Prec@5 66.000 (68.903)
Epoch: [25][1740/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4495 (2.5327)	Prec@1 35.500 (37.955)	Prec@5 72.000 (68.904)
Epoch: [25][1750/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.5893 (2.5328)	Prec@1 36.500 (37.954)	Prec@5 68.000 (68.904)
Epoch: [25][1760/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.4474 (2.5330)	Prec@1 42.500 (37.951)	Prec@5 71.500 (68.906)
Epoch: [25][1770/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.7717 (2.5329)	Prec@1 34.000 (37.951)	Prec@5 63.500 (68.913)
Epoch: [25][1780/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5556 (2.5329)	Prec@1 40.000 (37.954)	Prec@5 70.500 (68.915)
Epoch: [25][1790/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.6273 (2.5333)	Prec@1 33.000 (37.949)	Prec@5 69.000 (68.906)
Epoch: [25][1800/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.7602 (2.5334)	Prec@1 34.000 (37.943)	Prec@5 62.000 (68.910)
Epoch: [25][1810/9018]	Time 0.716 (0.616)	Data 0.001 (0.002)	Loss 2.4073 (2.5334)	Prec@1 38.500 (37.946)	Prec@5 72.500 (68.908)
Epoch: [25][1820/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6321 (2.5332)	Prec@1 39.000 (37.956)	Prec@5 68.500 (68.915)
Epoch: [25][1830/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4296 (2.5332)	Prec@1 38.500 (37.964)	Prec@5 69.000 (68.915)
Epoch: [25][1840/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5825 (2.5332)	Prec@1 34.000 (37.967)	Prec@5 70.000 (68.919)
Epoch: [25][1850/9018]	Time 0.589 (0.615)	Data 0.001 (0.002)	Loss 2.5755 (2.5332)	Prec@1 36.000 (37.967)	Prec@5 67.500 (68.917)
Epoch: [25][1860/9018]	Time 0.733 (0.616)	Data 0.001 (0.002)	Loss 2.5000 (2.5330)	Prec@1 39.500 (37.972)	Prec@5 74.000 (68.926)
Epoch: [25][1870/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.5323 (2.5329)	Prec@1 37.500 (37.975)	Prec@5 69.000 (68.924)
Epoch: [25][1880/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.4025 (2.5332)	Prec@1 40.500 (37.963)	Prec@5 74.000 (68.919)
Epoch: [25][1890/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5540 (2.5333)	Prec@1 41.000 (37.962)	Prec@5 68.000 (68.919)
Epoch: [25][1900/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6917 (2.5332)	Prec@1 31.500 (37.964)	Prec@5 66.500 (68.924)
Epoch: [25][1910/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.6022 (2.5331)	Prec@1 38.000 (37.964)	Prec@5 70.000 (68.922)
Epoch: [25][1920/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4460 (2.5330)	Prec@1 41.000 (37.971)	Prec@5 67.500 (68.923)
Epoch: [25][1930/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5044 (2.5331)	Prec@1 36.000 (37.970)	Prec@5 75.000 (68.927)
Epoch: [25][1940/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.7821 (2.5332)	Prec@1 30.500 (37.965)	Prec@5 67.500 (68.925)
Epoch: [25][1950/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4984 (2.5334)	Prec@1 38.500 (37.964)	Prec@5 69.000 (68.919)
Epoch: [25][1960/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.5799 (2.5335)	Prec@1 38.000 (37.966)	Prec@5 63.500 (68.912)
Epoch: [25][1970/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.7594 (2.5336)	Prec@1 32.500 (37.967)	Prec@5 65.000 (68.912)
Epoch: [25][1980/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.6530 (2.5342)	Prec@1 35.000 (37.958)	Prec@5 65.000 (68.900)
Epoch: [25][1990/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.4964 (2.5341)	Prec@1 37.000 (37.953)	Prec@5 71.500 (68.900)
Epoch: [25][2000/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.6177 (2.5343)	Prec@1 36.500 (37.952)	Prec@5 63.500 (68.895)
Epoch: [25][2010/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4455 (2.5343)	Prec@1 40.500 (37.953)	Prec@5 70.000 (68.897)
Epoch: [25][2020/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6315 (2.5341)	Prec@1 37.000 (37.961)	Prec@5 66.000 (68.896)
Epoch: [25][2030/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5911 (2.5343)	Prec@1 38.500 (37.961)	Prec@5 67.000 (68.896)
Epoch: [25][2040/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4564 (2.5344)	Prec@1 36.000 (37.956)	Prec@5 72.500 (68.894)
Epoch: [25][2050/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.5306 (2.5345)	Prec@1 41.000 (37.952)	Prec@5 69.500 (68.898)
Epoch: [25][2060/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.7927 (2.5348)	Prec@1 32.500 (37.945)	Prec@5 63.500 (68.889)
Epoch: [25][2070/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4304 (2.5352)	Prec@1 39.500 (37.934)	Prec@5 70.000 (68.887)
Epoch: [25][2080/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5648 (2.5351)	Prec@1 35.500 (37.937)	Prec@5 68.500 (68.888)
Epoch: [25][2090/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5414 (2.5352)	Prec@1 37.500 (37.936)	Prec@5 68.000 (68.884)
Epoch: [25][2100/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.6109 (2.5352)	Prec@1 34.000 (37.935)	Prec@5 67.000 (68.882)
Epoch: [25][2110/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7019 (2.5354)	Prec@1 35.000 (37.929)	Prec@5 67.000 (68.883)
Epoch: [25][2120/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.7915 (2.5358)	Prec@1 36.000 (37.929)	Prec@5 64.000 (68.875)
Epoch: [25][2130/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4461 (2.5355)	Prec@1 42.500 (37.939)	Prec@5 69.500 (68.885)
Epoch: [25][2140/9018]	Time 0.737 (0.615)	Data 0.001 (0.002)	Loss 2.6302 (2.5356)	Prec@1 39.500 (37.940)	Prec@5 68.500 (68.887)
Epoch: [25][2150/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4868 (2.5356)	Prec@1 41.000 (37.940)	Prec@5 68.500 (68.892)
Epoch: [25][2160/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.6067 (2.5358)	Prec@1 37.500 (37.935)	Prec@5 66.500 (68.885)
Epoch: [25][2170/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.4638 (2.5358)	Prec@1 40.500 (37.932)	Prec@5 69.000 (68.885)
Epoch: [25][2180/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.4687 (2.5357)	Prec@1 40.500 (37.933)	Prec@5 68.500 (68.886)
Epoch: [25][2190/9018]	Time 0.722 (0.615)	Data 0.001 (0.002)	Loss 2.5939 (2.5358)	Prec@1 40.500 (37.936)	Prec@5 69.500 (68.888)
Epoch: [25][2200/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5942 (2.5357)	Prec@1 36.500 (37.932)	Prec@5 68.000 (68.896)
Epoch: [25][2210/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.4378 (2.5356)	Prec@1 38.500 (37.929)	Prec@5 69.000 (68.898)
Epoch: [25][2220/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.4179 (2.5354)	Prec@1 41.000 (37.932)	Prec@5 75.500 (68.907)
Epoch: [25][2230/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6053 (2.5354)	Prec@1 38.000 (37.933)	Prec@5 69.000 (68.907)
Epoch: [25][2240/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5367 (2.5355)	Prec@1 37.000 (37.933)	Prec@5 65.000 (68.904)
Epoch: [25][2250/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.5905 (2.5357)	Prec@1 36.500 (37.928)	Prec@5 66.500 (68.895)
Epoch: [25][2260/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.3907 (2.5355)	Prec@1 42.500 (37.933)	Prec@5 72.500 (68.897)
Epoch: [25][2270/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4898 (2.5355)	Prec@1 38.500 (37.930)	Prec@5 71.500 (68.895)
Epoch: [25][2280/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.5002 (2.5357)	Prec@1 40.500 (37.930)	Prec@5 69.500 (68.892)
Epoch: [25][2290/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.4999 (2.5356)	Prec@1 38.000 (37.930)	Prec@5 71.000 (68.892)
Epoch: [25][2300/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6022 (2.5358)	Prec@1 36.000 (37.925)	Prec@5 71.500 (68.892)
Epoch: [25][2310/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5183 (2.5359)	Prec@1 39.500 (37.924)	Prec@5 65.000 (68.885)
Epoch: [25][2320/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.4503 (2.5361)	Prec@1 38.000 (37.919)	Prec@5 71.500 (68.883)
Epoch: [25][2330/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.4991 (2.5360)	Prec@1 41.000 (37.921)	Prec@5 69.500 (68.884)
Epoch: [25][2340/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.4128 (2.5359)	Prec@1 39.500 (37.931)	Prec@5 74.000 (68.880)
Epoch: [25][2350/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.6396 (2.5361)	Prec@1 35.500 (37.930)	Prec@5 68.500 (68.875)
Epoch: [25][2360/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.5703 (2.5361)	Prec@1 38.000 (37.931)	Prec@5 72.000 (68.877)
Epoch: [25][2370/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 2.4367 (2.5361)	Prec@1 40.000 (37.934)	Prec@5 68.000 (68.870)
Epoch: [25][2380/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.4315 (2.5360)	Prec@1 40.500 (37.935)	Prec@5 71.000 (68.872)
Epoch: [25][2390/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6931 (2.5360)	Prec@1 34.000 (37.935)	Prec@5 66.000 (68.872)
Epoch: [25][2400/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.6860 (2.5361)	Prec@1 36.500 (37.935)	Prec@5 63.500 (68.868)
Epoch: [25][2410/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.4831 (2.5360)	Prec@1 38.500 (37.937)	Prec@5 69.000 (68.872)
Epoch: [25][2420/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.3394 (2.5363)	Prec@1 42.000 (37.933)	Prec@5 71.000 (68.866)
Epoch: [25][2430/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.3645 (2.5365)	Prec@1 42.000 (37.929)	Prec@5 70.500 (68.859)
Epoch: [25][2440/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5211 (2.5366)	Prec@1 35.500 (37.924)	Prec@5 67.500 (68.859)
Epoch: [25][2450/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.6773 (2.5367)	Prec@1 30.000 (37.921)	Prec@5 70.500 (68.857)
Epoch: [25][2460/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.3888 (2.5368)	Prec@1 40.500 (37.918)	Prec@5 73.500 (68.856)
Epoch: [25][2470/9018]	Time 0.716 (0.615)	Data 0.001 (0.002)	Loss 2.4015 (2.5369)	Prec@1 42.000 (37.917)	Prec@5 71.000 (68.856)
Epoch: [25][2480/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.4637 (2.5367)	Prec@1 39.000 (37.915)	Prec@5 69.500 (68.861)
Epoch: [25][2490/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4840 (2.5368)	Prec@1 36.500 (37.907)	Prec@5 72.000 (68.858)
Epoch: [25][2500/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.4652 (2.5369)	Prec@1 39.000 (37.909)	Prec@5 68.000 (68.857)
Epoch: [25][2510/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6701 (2.5367)	Prec@1 37.500 (37.913)	Prec@5 67.000 (68.864)
Epoch: [25][2520/9018]	Time 0.733 (0.615)	Data 0.001 (0.002)	Loss 2.9256 (2.5367)	Prec@1 32.500 (37.916)	Prec@5 61.500 (68.863)
Epoch: [25][2530/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4079 (2.5369)	Prec@1 39.500 (37.916)	Prec@5 71.000 (68.861)
Epoch: [25][2540/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4017 (2.5369)	Prec@1 38.000 (37.910)	Prec@5 71.000 (68.864)
Epoch: [25][2550/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.6193 (2.5369)	Prec@1 40.500 (37.915)	Prec@5 66.500 (68.869)
Epoch: [25][2560/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.7067 (2.5369)	Prec@1 35.500 (37.913)	Prec@5 66.000 (68.867)
Epoch: [25][2570/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.4811 (2.5371)	Prec@1 37.000 (37.909)	Prec@5 71.500 (68.862)
Epoch: [25][2580/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 2.5457 (2.5369)	Prec@1 38.000 (37.906)	Prec@5 66.000 (68.865)
Epoch: [25][2590/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.4526 (2.5368)	Prec@1 39.000 (37.906)	Prec@5 71.000 (68.869)
Epoch: [25][2600/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.3490 (2.5366)	Prec@1 43.000 (37.909)	Prec@5 71.500 (68.872)
Epoch: [25][2610/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4696 (2.5366)	Prec@1 42.500 (37.913)	Prec@5 69.500 (68.871)
Epoch: [25][2620/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.4272 (2.5367)	Prec@1 42.000 (37.913)	Prec@5 72.000 (68.871)
Epoch: [25][2630/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.5594 (2.5365)	Prec@1 39.500 (37.913)	Prec@5 68.500 (68.877)
Epoch: [25][2640/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5512 (2.5365)	Prec@1 37.000 (37.909)	Prec@5 67.500 (68.873)
Epoch: [25][2650/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5115 (2.5368)	Prec@1 39.000 (37.903)	Prec@5 69.500 (68.868)
Epoch: [25][2660/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.4795 (2.5370)	Prec@1 37.000 (37.902)	Prec@5 71.500 (68.867)
Epoch: [25][2670/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4963 (2.5370)	Prec@1 39.500 (37.902)	Prec@5 70.500 (68.867)
Epoch: [25][2680/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.4510 (2.5371)	Prec@1 41.000 (37.901)	Prec@5 69.000 (68.866)
Epoch: [25][2690/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.5818 (2.5370)	Prec@1 37.000 (37.901)	Prec@5 72.000 (68.868)
Epoch: [25][2700/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.5434 (2.5370)	Prec@1 39.000 (37.905)	Prec@5 66.000 (68.868)
Epoch: [25][2710/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 2.3768 (2.5369)	Prec@1 41.500 (37.904)	Prec@5 71.500 (68.871)
Epoch: [25][2720/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5169 (2.5370)	Prec@1 34.000 (37.900)	Prec@5 67.000 (68.870)
Epoch: [25][2730/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.5505 (2.5371)	Prec@1 37.500 (37.898)	Prec@5 67.500 (68.870)
Epoch: [25][2740/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4988 (2.5372)	Prec@1 34.500 (37.898)	Prec@5 70.500 (68.867)
Epoch: [25][2750/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 2.4263 (2.5372)	Prec@1 41.500 (37.896)	Prec@5 72.000 (68.866)
Epoch: [25][2760/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.8851 (2.5374)	Prec@1 28.000 (37.892)	Prec@5 59.500 (68.861)
Epoch: [25][2770/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6301 (2.5375)	Prec@1 38.000 (37.891)	Prec@5 66.000 (68.861)
Epoch: [25][2780/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.3062 (2.5374)	Prec@1 37.000 (37.887)	Prec@5 74.500 (68.862)
Epoch: [25][2790/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4759 (2.5374)	Prec@1 39.500 (37.897)	Prec@5 70.500 (68.862)
Epoch: [25][2800/9018]	Time 0.728 (0.615)	Data 0.001 (0.002)	Loss 2.6662 (2.5376)	Prec@1 36.500 (37.891)	Prec@5 70.000 (68.857)
Epoch: [25][2810/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.4381 (2.5379)	Prec@1 40.000 (37.887)	Prec@5 70.500 (68.847)
Epoch: [25][2820/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5912 (2.5382)	Prec@1 38.500 (37.881)	Prec@5 67.500 (68.846)
Epoch: [25][2830/9018]	Time 0.643 (0.615)	Data 0.001 (0.002)	Loss 2.4494 (2.5385)	Prec@1 42.500 (37.871)	Prec@5 74.500 (68.846)
Epoch: [25][2840/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.6806 (2.5387)	Prec@1 36.000 (37.864)	Prec@5 64.500 (68.841)
Epoch: [25][2850/9018]	Time 0.725 (0.615)	Data 0.001 (0.002)	Loss 2.4637 (2.5386)	Prec@1 39.000 (37.865)	Prec@5 70.500 (68.844)
Epoch: [25][2860/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.4359 (2.5386)	Prec@1 35.500 (37.861)	Prec@5 71.000 (68.839)
Epoch: [25][2870/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.6623 (2.5387)	Prec@1 36.500 (37.858)	Prec@5 67.000 (68.840)
Epoch: [25][2880/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.5393 (2.5387)	Prec@1 32.500 (37.854)	Prec@5 68.000 (68.840)
Epoch: [25][2890/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.6261 (2.5389)	Prec@1 35.500 (37.852)	Prec@5 69.000 (68.833)
Epoch: [25][2900/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.6193 (2.5390)	Prec@1 31.500 (37.847)	Prec@5 66.000 (68.833)
Epoch: [25][2910/9018]	Time 0.636 (0.615)	Data 0.001 (0.002)	Loss 2.3940 (2.5392)	Prec@1 42.000 (37.849)	Prec@5 71.000 (68.826)
Epoch: [25][2920/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5501 (2.5395)	Prec@1 37.000 (37.842)	Prec@5 70.500 (68.822)
Epoch: [25][2930/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.4958 (2.5395)	Prec@1 41.000 (37.841)	Prec@5 71.500 (68.826)
Epoch: [25][2940/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.2562 (2.5397)	Prec@1 41.500 (37.837)	Prec@5 75.500 (68.824)
Epoch: [25][2950/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.3951 (2.5395)	Prec@1 41.500 (37.839)	Prec@5 75.500 (68.828)
Epoch: [25][2960/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.3325 (2.5394)	Prec@1 42.000 (37.840)	Prec@5 69.000 (68.827)
Epoch: [25][2970/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6441 (2.5393)	Prec@1 35.000 (37.840)	Prec@5 68.000 (68.828)
Epoch: [25][2980/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 2.3732 (2.5394)	Prec@1 40.500 (37.836)	Prec@5 70.500 (68.824)
Epoch: [25][2990/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.5892 (2.5396)	Prec@1 34.500 (37.828)	Prec@5 63.000 (68.818)
Epoch: [25][3000/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4061 (2.5399)	Prec@1 40.000 (37.826)	Prec@5 69.000 (68.812)
Epoch: [25][3010/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.6677 (2.5398)	Prec@1 34.500 (37.826)	Prec@5 67.500 (68.814)
Epoch: [25][3020/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.7262 (2.5398)	Prec@1 35.000 (37.825)	Prec@5 64.500 (68.815)
Epoch: [25][3030/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.6287 (2.5399)	Prec@1 36.000 (37.820)	Prec@5 70.000 (68.816)
Epoch: [25][3040/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.6127 (2.5398)	Prec@1 37.000 (37.821)	Prec@5 69.000 (68.818)
Epoch: [25][3050/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6629 (2.5398)	Prec@1 39.000 (37.820)	Prec@5 63.500 (68.814)
Epoch: [25][3060/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.4443 (2.5397)	Prec@1 39.500 (37.824)	Prec@5 73.000 (68.820)
Epoch: [25][3070/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4207 (2.5396)	Prec@1 37.500 (37.825)	Prec@5 70.500 (68.820)
Epoch: [25][3080/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 2.6627 (2.5397)	Prec@1 34.000 (37.824)	Prec@5 67.500 (68.820)
Epoch: [25][3090/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.4715 (2.5397)	Prec@1 37.000 (37.823)	Prec@5 68.000 (68.817)
Epoch: [25][3100/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.9098 (2.5397)	Prec@1 25.000 (37.822)	Prec@5 61.500 (68.817)
Epoch: [25][3110/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.5590 (2.5397)	Prec@1 37.500 (37.824)	Prec@5 70.500 (68.818)
Epoch: [25][3120/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.3952 (2.5397)	Prec@1 39.500 (37.823)	Prec@5 73.500 (68.820)
Epoch: [25][3130/9018]	Time 0.732 (0.615)	Data 0.001 (0.002)	Loss 2.5857 (2.5400)	Prec@1 36.000 (37.816)	Prec@5 63.500 (68.813)
Epoch: [25][3140/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.2931 (2.5398)	Prec@1 38.500 (37.818)	Prec@5 74.500 (68.815)
Epoch: [25][3150/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4992 (2.5397)	Prec@1 34.500 (37.820)	Prec@5 69.500 (68.813)
Epoch: [25][3160/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.6630 (2.5397)	Prec@1 32.500 (37.820)	Prec@5 67.500 (68.811)
Epoch: [25][3170/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5041 (2.5395)	Prec@1 40.500 (37.826)	Prec@5 65.500 (68.810)
Epoch: [25][3180/9018]	Time 0.734 (0.615)	Data 0.001 (0.002)	Loss 2.4566 (2.5397)	Prec@1 42.000 (37.823)	Prec@5 69.000 (68.806)
Epoch: [25][3190/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.6041 (2.5397)	Prec@1 38.000 (37.826)	Prec@5 64.500 (68.803)
Epoch: [25][3200/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.3148 (2.5398)	Prec@1 42.500 (37.826)	Prec@5 75.000 (68.800)
Epoch: [25][3210/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.4617 (2.5397)	Prec@1 40.000 (37.832)	Prec@5 69.500 (68.799)
Epoch: [25][3220/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5783 (2.5394)	Prec@1 40.500 (37.840)	Prec@5 69.500 (68.807)
Epoch: [25][3230/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.4739 (2.5394)	Prec@1 33.500 (37.838)	Prec@5 67.000 (68.806)
Epoch: [25][3240/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.5766 (2.5394)	Prec@1 38.500 (37.836)	Prec@5 70.000 (68.806)
Epoch: [25][3250/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.4999 (2.5394)	Prec@1 38.500 (37.834)	Prec@5 70.500 (68.808)
Epoch: [25][3260/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5524 (2.5394)	Prec@1 39.000 (37.835)	Prec@5 65.500 (68.808)
Epoch: [25][3270/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.7865 (2.5397)	Prec@1 29.500 (37.827)	Prec@5 64.000 (68.802)
Epoch: [25][3280/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.4738 (2.5396)	Prec@1 37.500 (37.828)	Prec@5 70.500 (68.802)
Epoch: [25][3290/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5102 (2.5397)	Prec@1 36.000 (37.826)	Prec@5 68.500 (68.800)
Epoch: [25][3300/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7024 (2.5398)	Prec@1 33.500 (37.820)	Prec@5 67.500 (68.801)
Epoch: [25][3310/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.5677 (2.5400)	Prec@1 37.500 (37.817)	Prec@5 68.000 (68.797)
Epoch: [25][3320/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6642 (2.5401)	Prec@1 35.000 (37.813)	Prec@5 64.500 (68.796)
Epoch: [25][3330/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4251 (2.5401)	Prec@1 41.000 (37.816)	Prec@5 69.500 (68.796)
Epoch: [25][3340/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5048 (2.5401)	Prec@1 40.000 (37.815)	Prec@5 69.000 (68.797)
Epoch: [25][3350/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4915 (2.5402)	Prec@1 36.500 (37.816)	Prec@5 68.000 (68.795)
Epoch: [25][3360/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7010 (2.5403)	Prec@1 35.500 (37.813)	Prec@5 68.000 (68.792)
Epoch: [25][3370/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5883 (2.5403)	Prec@1 32.500 (37.813)	Prec@5 71.000 (68.793)
Epoch: [25][3380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4875 (2.5404)	Prec@1 39.000 (37.812)	Prec@5 71.500 (68.790)
Epoch: [25][3390/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7698 (2.5404)	Prec@1 32.500 (37.810)	Prec@5 64.500 (68.786)
Epoch: [25][3400/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5304 (2.5405)	Prec@1 39.500 (37.809)	Prec@5 72.000 (68.787)
Epoch: [25][3410/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5025 (2.5404)	Prec@1 32.500 (37.810)	Prec@5 69.500 (68.787)
Epoch: [25][3420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4989 (2.5401)	Prec@1 36.000 (37.820)	Prec@5 73.000 (68.794)
Epoch: [25][3430/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4910 (2.5401)	Prec@1 43.500 (37.821)	Prec@5 70.500 (68.793)
Epoch: [25][3440/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6498 (2.5402)	Prec@1 37.500 (37.823)	Prec@5 66.500 (68.793)
Epoch: [25][3450/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.8798 (2.5403)	Prec@1 30.000 (37.820)	Prec@5 61.000 (68.791)
Epoch: [25][3460/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.4056 (2.5403)	Prec@1 41.000 (37.818)	Prec@5 73.000 (68.794)
Epoch: [25][3470/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5547 (2.5402)	Prec@1 38.000 (37.819)	Prec@5 65.500 (68.797)
Epoch: [25][3480/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6411 (2.5403)	Prec@1 36.500 (37.812)	Prec@5 67.000 (68.795)
Epoch: [25][3490/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7855 (2.5407)	Prec@1 33.000 (37.803)	Prec@5 65.500 (68.785)
Epoch: [25][3500/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6345 (2.5407)	Prec@1 37.000 (37.802)	Prec@5 68.500 (68.788)
Epoch: [25][3510/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.6698 (2.5408)	Prec@1 38.000 (37.805)	Prec@5 64.500 (68.786)
Epoch: [25][3520/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6834 (2.5407)	Prec@1 38.000 (37.807)	Prec@5 63.500 (68.788)
Epoch: [25][3530/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5266 (2.5407)	Prec@1 39.000 (37.807)	Prec@5 69.000 (68.787)
Epoch: [25][3540/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6904 (2.5406)	Prec@1 38.500 (37.808)	Prec@5 67.000 (68.790)
Epoch: [25][3550/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5684 (2.5408)	Prec@1 38.000 (37.804)	Prec@5 68.000 (68.786)
Epoch: [25][3560/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6974 (2.5408)	Prec@1 32.500 (37.806)	Prec@5 70.000 (68.787)
Epoch: [25][3570/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7113 (2.5409)	Prec@1 30.000 (37.805)	Prec@5 69.500 (68.786)
Epoch: [25][3580/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7355 (2.5411)	Prec@1 34.500 (37.799)	Prec@5 62.000 (68.778)
Epoch: [25][3590/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4567 (2.5412)	Prec@1 39.500 (37.796)	Prec@5 68.000 (68.777)
Epoch: [25][3600/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5449 (2.5414)	Prec@1 41.500 (37.792)	Prec@5 69.000 (68.776)
Epoch: [25][3610/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8083 (2.5414)	Prec@1 30.500 (37.787)	Prec@5 65.000 (68.774)
Epoch: [25][3620/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4668 (2.5416)	Prec@1 35.500 (37.783)	Prec@5 69.000 (68.768)
Epoch: [25][3630/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1125 (2.5417)	Prec@1 44.500 (37.785)	Prec@5 75.000 (68.767)
Epoch: [25][3640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4910 (2.5417)	Prec@1 41.000 (37.782)	Prec@5 69.500 (68.765)
Epoch: [25][3650/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6322 (2.5416)	Prec@1 34.500 (37.783)	Prec@5 67.500 (68.767)
Epoch: [25][3660/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5626 (2.5415)	Prec@1 38.000 (37.787)	Prec@5 68.000 (68.769)
Epoch: [25][3670/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5159 (2.5417)	Prec@1 38.500 (37.786)	Prec@5 69.500 (68.767)
Epoch: [25][3680/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5099 (2.5415)	Prec@1 42.000 (37.791)	Prec@5 70.000 (68.772)
Epoch: [25][3690/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8345 (2.5416)	Prec@1 35.000 (37.790)	Prec@5 63.000 (68.770)
Epoch: [25][3700/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3957 (2.5415)	Prec@1 39.500 (37.792)	Prec@5 75.000 (68.768)
Epoch: [25][3710/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9938 (2.5417)	Prec@1 31.000 (37.786)	Prec@5 57.500 (68.764)
Epoch: [25][3720/9018]	Time 0.608 (0.615)	Data 0.003 (0.001)	Loss 2.5284 (2.5418)	Prec@1 36.000 (37.783)	Prec@5 68.500 (68.762)
Epoch: [25][3730/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5957 (2.5418)	Prec@1 38.500 (37.784)	Prec@5 64.500 (68.763)
Epoch: [25][3740/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.7596 (2.5418)	Prec@1 36.000 (37.785)	Prec@5 64.500 (68.761)
Epoch: [25][3750/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3806 (2.5418)	Prec@1 43.000 (37.788)	Prec@5 67.000 (68.763)
Epoch: [25][3760/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4407 (2.5417)	Prec@1 40.000 (37.791)	Prec@5 70.000 (68.764)
Epoch: [25][3770/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5076 (2.5418)	Prec@1 39.000 (37.791)	Prec@5 70.500 (68.762)
Epoch: [25][3780/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5267 (2.5418)	Prec@1 35.000 (37.788)	Prec@5 69.000 (68.759)
Epoch: [25][3790/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.4489 (2.5417)	Prec@1 37.500 (37.789)	Prec@5 69.000 (68.765)
Epoch: [25][3800/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7607 (2.5416)	Prec@1 33.500 (37.787)	Prec@5 65.000 (68.768)
Epoch: [25][3810/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.8069 (2.5418)	Prec@1 33.000 (37.784)	Prec@5 64.500 (68.762)
Epoch: [25][3820/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.7823 (2.5418)	Prec@1 34.000 (37.785)	Prec@5 62.500 (68.762)
Epoch: [25][3830/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.3119 (2.5419)	Prec@1 38.500 (37.782)	Prec@5 74.500 (68.761)
Epoch: [25][3840/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7211 (2.5418)	Prec@1 39.000 (37.786)	Prec@5 63.500 (68.765)
Epoch: [25][3850/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6338 (2.5417)	Prec@1 37.000 (37.785)	Prec@5 70.000 (68.765)
Epoch: [25][3860/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8817 (2.5417)	Prec@1 29.500 (37.784)	Prec@5 64.000 (68.769)
Epoch: [25][3870/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5043 (2.5417)	Prec@1 37.000 (37.788)	Prec@5 65.000 (68.769)
Epoch: [25][3880/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5334 (2.5416)	Prec@1 35.500 (37.789)	Prec@5 70.000 (68.772)
Epoch: [25][3890/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4219 (2.5415)	Prec@1 38.000 (37.791)	Prec@5 72.000 (68.773)
Epoch: [25][3900/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3230 (2.5413)	Prec@1 41.000 (37.796)	Prec@5 73.000 (68.773)
Epoch: [25][3910/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4634 (2.5414)	Prec@1 36.500 (37.798)	Prec@5 71.000 (68.770)
Epoch: [25][3920/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5413 (2.5414)	Prec@1 40.000 (37.796)	Prec@5 69.000 (68.769)
Epoch: [25][3930/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7992 (2.5416)	Prec@1 33.000 (37.794)	Prec@5 61.000 (68.764)
Epoch: [25][3940/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5618 (2.5416)	Prec@1 41.500 (37.798)	Prec@5 73.000 (68.765)
Epoch: [25][3950/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4866 (2.5414)	Prec@1 35.000 (37.799)	Prec@5 73.000 (68.769)
Epoch: [25][3960/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5221 (2.5415)	Prec@1 39.000 (37.800)	Prec@5 69.500 (68.768)
Epoch: [25][3970/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4644 (2.5414)	Prec@1 40.000 (37.806)	Prec@5 66.500 (68.769)
Epoch: [25][3980/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5562 (2.5414)	Prec@1 36.000 (37.806)	Prec@5 70.500 (68.767)
Epoch: [25][3990/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5578 (2.5414)	Prec@1 38.500 (37.805)	Prec@5 67.500 (68.764)
Epoch: [25][4000/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1831 (2.5413)	Prec@1 38.500 (37.804)	Prec@5 80.500 (68.766)
Epoch: [25][4010/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.3026 (2.5414)	Prec@1 45.000 (37.805)	Prec@5 72.500 (68.765)
Epoch: [25][4020/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6332 (2.5414)	Prec@1 39.500 (37.805)	Prec@5 68.500 (68.764)
Epoch: [25][4030/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5387 (2.5413)	Prec@1 38.500 (37.806)	Prec@5 68.000 (68.765)
Epoch: [25][4040/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8190 (2.5415)	Prec@1 29.500 (37.802)	Prec@5 64.500 (68.760)
Epoch: [25][4050/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5231 (2.5415)	Prec@1 37.500 (37.806)	Prec@5 69.500 (68.761)
Epoch: [25][4060/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4605 (2.5414)	Prec@1 42.500 (37.807)	Prec@5 70.500 (68.762)
Epoch: [25][4070/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.5533 (2.5415)	Prec@1 40.500 (37.804)	Prec@5 68.500 (68.759)
Epoch: [25][4080/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4585 (2.5415)	Prec@1 40.500 (37.805)	Prec@5 69.500 (68.758)
Epoch: [25][4090/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6368 (2.5415)	Prec@1 36.500 (37.804)	Prec@5 70.000 (68.757)
Epoch: [25][4100/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6890 (2.5415)	Prec@1 36.000 (37.805)	Prec@5 66.000 (68.758)
Epoch: [25][4110/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7495 (2.5417)	Prec@1 33.000 (37.804)	Prec@5 67.500 (68.758)
Epoch: [25][4120/9018]	Time 0.707 (0.615)	Data 0.001 (0.001)	Loss 2.4904 (2.5415)	Prec@1 38.000 (37.806)	Prec@5 71.500 (68.763)
Epoch: [25][4130/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4325 (2.5415)	Prec@1 35.000 (37.806)	Prec@5 71.000 (68.763)
Epoch: [25][4140/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6045 (2.5417)	Prec@1 42.500 (37.805)	Prec@5 65.000 (68.759)
Epoch: [25][4150/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5726 (2.5417)	Prec@1 37.000 (37.805)	Prec@5 66.000 (68.759)
Epoch: [25][4160/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4540 (2.5417)	Prec@1 39.000 (37.803)	Prec@5 69.000 (68.758)
Epoch: [25][4170/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3299 (2.5416)	Prec@1 38.000 (37.804)	Prec@5 73.500 (68.757)
Epoch: [25][4180/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5410 (2.5416)	Prec@1 41.500 (37.805)	Prec@5 68.000 (68.759)
Epoch: [25][4190/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4451 (2.5415)	Prec@1 38.500 (37.803)	Prec@5 72.000 (68.760)
Epoch: [25][4200/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7688 (2.5416)	Prec@1 31.500 (37.801)	Prec@5 64.000 (68.759)
Epoch: [25][4210/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4213 (2.5417)	Prec@1 39.000 (37.797)	Prec@5 74.000 (68.760)
Epoch: [25][4220/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3875 (2.5417)	Prec@1 43.000 (37.799)	Prec@5 75.500 (68.759)
Epoch: [25][4230/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4091 (2.5418)	Prec@1 37.500 (37.796)	Prec@5 76.000 (68.759)
Epoch: [25][4240/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4645 (2.5418)	Prec@1 40.500 (37.797)	Prec@5 72.000 (68.758)
Epoch: [25][4250/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6571 (2.5419)	Prec@1 39.500 (37.796)	Prec@5 63.500 (68.758)
Epoch: [25][4260/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3614 (2.5418)	Prec@1 41.000 (37.800)	Prec@5 73.500 (68.761)
Epoch: [25][4270/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2362 (2.5417)	Prec@1 45.000 (37.803)	Prec@5 79.000 (68.764)
Epoch: [25][4280/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5092 (2.5417)	Prec@1 38.500 (37.802)	Prec@5 68.000 (68.765)
Epoch: [25][4290/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4687 (2.5418)	Prec@1 38.000 (37.798)	Prec@5 68.500 (68.761)
Epoch: [25][4300/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4860 (2.5417)	Prec@1 35.000 (37.799)	Prec@5 72.500 (68.763)
Epoch: [25][4310/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6400 (2.5418)	Prec@1 37.000 (37.799)	Prec@5 66.000 (68.760)
Epoch: [25][4320/9018]	Time 0.587 (0.615)	Data 0.001 (0.001)	Loss 2.7662 (2.5418)	Prec@1 32.500 (37.799)	Prec@5 62.500 (68.760)
Epoch: [25][4330/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.7977 (2.5419)	Prec@1 37.500 (37.799)	Prec@5 64.000 (68.759)
Epoch: [25][4340/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3187 (2.5420)	Prec@1 43.500 (37.799)	Prec@5 73.500 (68.758)
Epoch: [25][4350/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3287 (2.5419)	Prec@1 41.500 (37.801)	Prec@5 74.500 (68.759)
Epoch: [25][4360/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7952 (2.5419)	Prec@1 36.500 (37.800)	Prec@5 65.000 (68.759)
Epoch: [25][4370/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4806 (2.5419)	Prec@1 38.500 (37.799)	Prec@5 67.500 (68.760)
Epoch: [25][4380/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5309 (2.5420)	Prec@1 39.000 (37.798)	Prec@5 67.500 (68.758)
Epoch: [25][4390/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4420 (2.5421)	Prec@1 38.000 (37.798)	Prec@5 67.500 (68.756)
Epoch: [25][4400/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.3355 (2.5420)	Prec@1 40.000 (37.798)	Prec@5 72.000 (68.759)
Epoch: [25][4410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7987 (2.5421)	Prec@1 32.500 (37.794)	Prec@5 62.500 (68.758)
Epoch: [25][4420/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3148 (2.5420)	Prec@1 43.500 (37.794)	Prec@5 71.000 (68.761)
Epoch: [25][4430/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5721 (2.5421)	Prec@1 36.000 (37.796)	Prec@5 67.500 (68.762)
Epoch: [25][4440/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5007 (2.5420)	Prec@1 35.500 (37.799)	Prec@5 73.000 (68.763)
Epoch: [25][4450/9018]	Time 0.765 (0.615)	Data 0.001 (0.001)	Loss 2.5166 (2.5421)	Prec@1 42.000 (37.796)	Prec@5 69.500 (68.760)
Epoch: [25][4460/9018]	Time 0.585 (0.615)	Data 0.001 (0.001)	Loss 2.4865 (2.5421)	Prec@1 42.500 (37.796)	Prec@5 69.000 (68.760)
Epoch: [25][4470/9018]	Time 0.587 (0.615)	Data 0.001 (0.001)	Loss 2.3139 (2.5419)	Prec@1 42.500 (37.801)	Prec@5 75.500 (68.764)
Epoch: [25][4480/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.8702 (2.5421)	Prec@1 35.000 (37.800)	Prec@5 60.000 (68.759)
Epoch: [25][4490/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7616 (2.5422)	Prec@1 33.500 (37.797)	Prec@5 66.500 (68.757)
Epoch: [25][4500/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6804 (2.5420)	Prec@1 35.000 (37.800)	Prec@5 63.000 (68.759)
Epoch: [25][4510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7334 (2.5419)	Prec@1 33.000 (37.797)	Prec@5 61.500 (68.762)
Epoch: [25][4520/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5872 (2.5420)	Prec@1 35.500 (37.795)	Prec@5 68.500 (68.760)
Epoch: [25][4530/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4777 (2.5421)	Prec@1 35.000 (37.792)	Prec@5 71.500 (68.759)
Epoch: [25][4540/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6672 (2.5423)	Prec@1 35.500 (37.786)	Prec@5 67.000 (68.756)
Epoch: [25][4550/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8310 (2.5425)	Prec@1 35.500 (37.784)	Prec@5 61.000 (68.754)
Epoch: [25][4560/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4588 (2.5427)	Prec@1 39.000 (37.780)	Prec@5 69.000 (68.752)
Epoch: [25][4570/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4870 (2.5426)	Prec@1 40.500 (37.779)	Prec@5 71.000 (68.755)
Epoch: [25][4580/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4976 (2.5427)	Prec@1 38.000 (37.781)	Prec@5 69.500 (68.753)
Epoch: [25][4590/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5372 (2.5426)	Prec@1 35.000 (37.782)	Prec@5 67.500 (68.753)
Epoch: [25][4600/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6580 (2.5427)	Prec@1 39.000 (37.781)	Prec@5 65.500 (68.749)
Epoch: [25][4610/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4836 (2.5429)	Prec@1 41.000 (37.778)	Prec@5 74.000 (68.747)
Epoch: [25][4620/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6800 (2.5430)	Prec@1 37.500 (37.778)	Prec@5 64.000 (68.746)
Epoch: [25][4630/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5472 (2.5430)	Prec@1 40.500 (37.780)	Prec@5 69.500 (68.748)
Epoch: [25][4640/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8912 (2.5431)	Prec@1 33.500 (37.774)	Prec@5 63.000 (68.746)
Epoch: [25][4650/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3998 (2.5431)	Prec@1 41.000 (37.777)	Prec@5 69.500 (68.747)
Epoch: [25][4660/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6919 (2.5431)	Prec@1 36.500 (37.776)	Prec@5 65.000 (68.749)
Epoch: [25][4670/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5080 (2.5433)	Prec@1 34.000 (37.774)	Prec@5 74.000 (68.746)
Epoch: [25][4680/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5991 (2.5432)	Prec@1 36.000 (37.778)	Prec@5 67.000 (68.746)
Epoch: [25][4690/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5948 (2.5432)	Prec@1 37.500 (37.777)	Prec@5 69.000 (68.745)
Epoch: [25][4700/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5624 (2.5431)	Prec@1 35.000 (37.778)	Prec@5 67.000 (68.750)
Epoch: [25][4710/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.3736 (2.5430)	Prec@1 42.000 (37.777)	Prec@5 70.500 (68.754)
Epoch: [25][4720/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4934 (2.5429)	Prec@1 37.500 (37.777)	Prec@5 71.500 (68.756)
Epoch: [25][4730/9018]	Time 0.717 (0.615)	Data 0.001 (0.001)	Loss 2.6246 (2.5430)	Prec@1 35.000 (37.775)	Prec@5 64.000 (68.754)
Epoch: [25][4740/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4607 (2.5430)	Prec@1 44.500 (37.775)	Prec@5 72.000 (68.752)
Epoch: [25][4750/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6634 (2.5430)	Prec@1 35.000 (37.776)	Prec@5 68.500 (68.754)
Epoch: [25][4760/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.5345 (2.5431)	Prec@1 39.000 (37.773)	Prec@5 68.000 (68.751)
Epoch: [25][4770/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7034 (2.5431)	Prec@1 33.500 (37.773)	Prec@5 64.500 (68.750)
Epoch: [25][4780/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.3801 (2.5431)	Prec@1 38.500 (37.774)	Prec@5 70.500 (68.750)
Epoch: [25][4790/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7454 (2.5431)	Prec@1 36.500 (37.773)	Prec@5 63.000 (68.747)
Epoch: [25][4800/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4189 (2.5431)	Prec@1 43.500 (37.774)	Prec@5 68.500 (68.746)
Epoch: [25][4810/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5634 (2.5431)	Prec@1 35.500 (37.775)	Prec@5 67.500 (68.748)
Epoch: [25][4820/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5771 (2.5431)	Prec@1 37.500 (37.776)	Prec@5 70.500 (68.748)
Epoch: [25][4830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6057 (2.5431)	Prec@1 34.000 (37.777)	Prec@5 68.000 (68.749)
Epoch: [25][4840/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5608 (2.5429)	Prec@1 38.500 (37.780)	Prec@5 68.000 (68.752)
Epoch: [25][4850/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6370 (2.5429)	Prec@1 37.000 (37.782)	Prec@5 64.000 (68.754)
Epoch: [25][4860/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.7333 (2.5430)	Prec@1 36.000 (37.779)	Prec@5 67.000 (68.753)
Epoch: [25][4870/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2033 (2.5430)	Prec@1 42.500 (37.779)	Prec@5 76.500 (68.753)
Epoch: [25][4880/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3944 (2.5429)	Prec@1 45.000 (37.781)	Prec@5 71.000 (68.753)
Epoch: [25][4890/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4614 (2.5430)	Prec@1 36.000 (37.780)	Prec@5 72.500 (68.752)
Epoch: [25][4900/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8702 (2.5431)	Prec@1 31.500 (37.777)	Prec@5 61.000 (68.752)
Epoch: [25][4910/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5039 (2.5432)	Prec@1 36.500 (37.776)	Prec@5 71.500 (68.753)
Epoch: [25][4920/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.3020 (2.5433)	Prec@1 44.000 (37.777)	Prec@5 72.000 (68.754)
Epoch: [25][4930/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4630 (2.5432)	Prec@1 38.000 (37.775)	Prec@5 73.000 (68.756)
Epoch: [25][4940/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5228 (2.5431)	Prec@1 37.000 (37.776)	Prec@5 65.500 (68.758)
Epoch: [25][4950/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4819 (2.5432)	Prec@1 37.500 (37.773)	Prec@5 67.500 (68.756)
Epoch: [25][4960/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3303 (2.5432)	Prec@1 36.500 (37.774)	Prec@5 70.000 (68.757)
Epoch: [25][4970/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4257 (2.5430)	Prec@1 38.000 (37.778)	Prec@5 72.000 (68.759)
Epoch: [25][4980/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7326 (2.5430)	Prec@1 32.000 (37.777)	Prec@5 64.500 (68.759)
Epoch: [25][4990/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4608 (2.5430)	Prec@1 42.000 (37.779)	Prec@5 68.500 (68.759)
Epoch: [25][5000/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4671 (2.5430)	Prec@1 37.500 (37.778)	Prec@5 70.000 (68.756)
Epoch: [25][5010/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7184 (2.5431)	Prec@1 32.500 (37.776)	Prec@5 68.000 (68.755)
Epoch: [25][5020/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3354 (2.5431)	Prec@1 42.000 (37.774)	Prec@5 72.500 (68.753)
Epoch: [25][5030/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5303 (2.5432)	Prec@1 36.000 (37.774)	Prec@5 71.500 (68.751)
Epoch: [25][5040/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5233 (2.5433)	Prec@1 40.000 (37.774)	Prec@5 72.000 (68.751)
Epoch: [25][5050/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5243 (2.5433)	Prec@1 37.500 (37.776)	Prec@5 71.000 (68.750)
Epoch: [25][5060/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.6417 (2.5431)	Prec@1 40.000 (37.781)	Prec@5 65.500 (68.754)
Epoch: [25][5070/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.5656 (2.5432)	Prec@1 38.500 (37.779)	Prec@5 64.000 (68.752)
Epoch: [25][5080/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5864 (2.5432)	Prec@1 33.500 (37.778)	Prec@5 65.500 (68.752)
Epoch: [25][5090/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4398 (2.5432)	Prec@1 43.500 (37.779)	Prec@5 68.500 (68.751)
Epoch: [25][5100/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7503 (2.5433)	Prec@1 37.000 (37.777)	Prec@5 65.000 (68.750)
Epoch: [25][5110/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.5331 (2.5433)	Prec@1 39.000 (37.777)	Prec@5 66.500 (68.749)
Epoch: [25][5120/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.3950 (2.5432)	Prec@1 40.000 (37.780)	Prec@5 75.000 (68.752)
Epoch: [25][5130/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7615 (2.5432)	Prec@1 35.000 (37.781)	Prec@5 67.000 (68.751)
Epoch: [25][5140/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7216 (2.5433)	Prec@1 36.000 (37.780)	Prec@5 68.000 (68.748)
Epoch: [25][5150/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5884 (2.5432)	Prec@1 33.500 (37.780)	Prec@5 65.500 (68.749)
Epoch: [25][5160/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4918 (2.5432)	Prec@1 36.000 (37.780)	Prec@5 67.500 (68.747)
Epoch: [25][5170/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2846 (2.5431)	Prec@1 43.500 (37.784)	Prec@5 76.500 (68.749)
Epoch: [25][5180/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6854 (2.5432)	Prec@1 35.500 (37.785)	Prec@5 67.000 (68.747)
Epoch: [25][5190/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4887 (2.5432)	Prec@1 39.000 (37.785)	Prec@5 69.500 (68.747)
Epoch: [25][5200/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8085 (2.5433)	Prec@1 33.500 (37.783)	Prec@5 65.500 (68.744)
Epoch: [25][5210/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6206 (2.5432)	Prec@1 35.500 (37.783)	Prec@5 67.000 (68.748)
Epoch: [25][5220/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.2632 (2.5432)	Prec@1 40.500 (37.784)	Prec@5 73.000 (68.748)
Epoch: [25][5230/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5802 (2.5432)	Prec@1 36.000 (37.783)	Prec@5 69.500 (68.747)
Epoch: [25][5240/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5253 (2.5434)	Prec@1 37.500 (37.781)	Prec@5 71.500 (68.743)
Epoch: [25][5250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5269 (2.5435)	Prec@1 35.500 (37.777)	Prec@5 71.000 (68.741)
Epoch: [25][5260/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4050 (2.5436)	Prec@1 37.500 (37.775)	Prec@5 68.500 (68.739)
Epoch: [25][5270/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.8785 (2.5435)	Prec@1 29.000 (37.776)	Prec@5 64.000 (68.738)
Epoch: [25][5280/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5706 (2.5436)	Prec@1 36.500 (37.776)	Prec@5 68.000 (68.736)
Epoch: [25][5290/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3865 (2.5437)	Prec@1 41.500 (37.772)	Prec@5 69.500 (68.736)
Epoch: [25][5300/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4506 (2.5436)	Prec@1 43.000 (37.773)	Prec@5 72.500 (68.738)
Epoch: [25][5310/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4173 (2.5436)	Prec@1 37.500 (37.774)	Prec@5 69.500 (68.737)
Epoch: [25][5320/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6009 (2.5434)	Prec@1 39.000 (37.779)	Prec@5 70.000 (68.741)
Epoch: [25][5330/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5119 (2.5435)	Prec@1 42.000 (37.777)	Prec@5 72.000 (68.741)
Epoch: [25][5340/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5434 (2.5435)	Prec@1 41.000 (37.778)	Prec@5 71.000 (68.741)
Epoch: [25][5350/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4678 (2.5434)	Prec@1 36.000 (37.779)	Prec@5 71.500 (68.742)
Epoch: [25][5360/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2682 (2.5434)	Prec@1 41.500 (37.779)	Prec@5 71.500 (68.739)
Epoch: [25][5370/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.3594 (2.5434)	Prec@1 39.500 (37.780)	Prec@5 73.000 (68.742)
Epoch: [25][5380/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4955 (2.5432)	Prec@1 38.000 (37.785)	Prec@5 69.500 (68.744)
Epoch: [25][5390/9018]	Time 0.751 (0.615)	Data 0.001 (0.001)	Loss 2.4833 (2.5431)	Prec@1 37.500 (37.786)	Prec@5 68.500 (68.743)
Epoch: [25][5400/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4719 (2.5432)	Prec@1 36.500 (37.784)	Prec@5 69.500 (68.742)
Epoch: [25][5410/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6546 (2.5432)	Prec@1 35.000 (37.784)	Prec@5 68.500 (68.742)
Epoch: [25][5420/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5458 (2.5433)	Prec@1 38.500 (37.783)	Prec@5 67.500 (68.741)
Epoch: [25][5430/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5511 (2.5432)	Prec@1 38.000 (37.784)	Prec@5 69.500 (68.743)
Epoch: [25][5440/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.7653 (2.5433)	Prec@1 36.000 (37.785)	Prec@5 62.500 (68.742)
Epoch: [25][5450/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.3332 (2.5431)	Prec@1 41.500 (37.789)	Prec@5 72.000 (68.746)
Epoch: [25][5460/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5997 (2.5431)	Prec@1 37.000 (37.787)	Prec@5 67.000 (68.745)
Epoch: [25][5470/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3650 (2.5431)	Prec@1 42.000 (37.787)	Prec@5 73.500 (68.744)
Epoch: [25][5480/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6656 (2.5431)	Prec@1 39.500 (37.788)	Prec@5 67.500 (68.745)
Epoch: [25][5490/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.4098 (2.5431)	Prec@1 38.500 (37.788)	Prec@5 70.000 (68.745)
Epoch: [25][5500/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7272 (2.5431)	Prec@1 36.500 (37.788)	Prec@5 64.500 (68.745)
Epoch: [25][5510/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4151 (2.5431)	Prec@1 41.500 (37.787)	Prec@5 70.000 (68.743)
Epoch: [25][5520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7223 (2.5431)	Prec@1 35.500 (37.788)	Prec@5 66.000 (68.743)
Epoch: [25][5530/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5755 (2.5432)	Prec@1 37.000 (37.786)	Prec@5 67.500 (68.742)
Epoch: [25][5540/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5231 (2.5433)	Prec@1 36.000 (37.783)	Prec@5 70.000 (68.741)
Epoch: [25][5550/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7319 (2.5434)	Prec@1 32.500 (37.782)	Prec@5 64.500 (68.740)
Epoch: [25][5560/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.3756 (2.5434)	Prec@1 42.000 (37.782)	Prec@5 73.500 (68.743)
Epoch: [25][5570/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4807 (2.5435)	Prec@1 39.500 (37.781)	Prec@5 71.000 (68.741)
Epoch: [25][5580/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3861 (2.5434)	Prec@1 46.000 (37.784)	Prec@5 68.500 (68.741)
Epoch: [25][5590/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6549 (2.5435)	Prec@1 39.500 (37.784)	Prec@5 65.000 (68.739)
Epoch: [25][5600/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4414 (2.5434)	Prec@1 41.500 (37.785)	Prec@5 66.500 (68.740)
Epoch: [25][5610/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4522 (2.5435)	Prec@1 41.500 (37.784)	Prec@5 70.000 (68.739)
Epoch: [25][5620/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6476 (2.5434)	Prec@1 39.000 (37.783)	Prec@5 69.500 (68.741)
Epoch: [25][5630/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5381 (2.5434)	Prec@1 40.000 (37.781)	Prec@5 65.500 (68.740)
Epoch: [25][5640/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6810 (2.5435)	Prec@1 34.000 (37.782)	Prec@5 63.500 (68.738)
Epoch: [25][5650/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3505 (2.5434)	Prec@1 37.000 (37.784)	Prec@5 72.000 (68.739)
Epoch: [25][5660/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4543 (2.5434)	Prec@1 41.500 (37.784)	Prec@5 69.500 (68.739)
Epoch: [25][5670/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6268 (2.5435)	Prec@1 31.500 (37.778)	Prec@5 64.500 (68.737)
Epoch: [25][5680/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6325 (2.5437)	Prec@1 38.000 (37.776)	Prec@5 67.000 (68.733)
Epoch: [25][5690/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2061 (2.5436)	Prec@1 44.500 (37.778)	Prec@5 75.000 (68.735)
Epoch: [25][5700/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6398 (2.5436)	Prec@1 35.500 (37.780)	Prec@5 66.000 (68.734)
Epoch: [25][5710/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5297 (2.5437)	Prec@1 37.500 (37.779)	Prec@5 66.000 (68.732)
Epoch: [25][5720/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.5598 (2.5436)	Prec@1 38.000 (37.782)	Prec@5 64.500 (68.733)
Epoch: [25][5730/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5160 (2.5436)	Prec@1 38.500 (37.782)	Prec@5 70.000 (68.734)
Epoch: [25][5740/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5471 (2.5437)	Prec@1 40.000 (37.782)	Prec@5 68.500 (68.733)
Epoch: [25][5750/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4430 (2.5435)	Prec@1 43.000 (37.786)	Prec@5 69.500 (68.737)
Epoch: [25][5760/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4518 (2.5434)	Prec@1 42.000 (37.788)	Prec@5 67.000 (68.738)
Epoch: [25][5770/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.4940 (2.5433)	Prec@1 38.500 (37.789)	Prec@5 70.000 (68.740)
Epoch: [25][5780/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6349 (2.5435)	Prec@1 37.000 (37.787)	Prec@5 67.500 (68.737)
Epoch: [25][5790/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3442 (2.5435)	Prec@1 39.500 (37.787)	Prec@5 74.500 (68.738)
Epoch: [25][5800/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5481 (2.5435)	Prec@1 40.500 (37.786)	Prec@5 70.500 (68.739)
Epoch: [25][5810/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7036 (2.5435)	Prec@1 35.000 (37.785)	Prec@5 62.000 (68.737)
Epoch: [25][5820/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5911 (2.5436)	Prec@1 38.500 (37.784)	Prec@5 64.500 (68.734)
Epoch: [25][5830/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5445 (2.5436)	Prec@1 38.000 (37.783)	Prec@5 66.500 (68.734)
Epoch: [25][5840/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4387 (2.5437)	Prec@1 34.500 (37.780)	Prec@5 73.500 (68.734)
Epoch: [25][5850/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5813 (2.5437)	Prec@1 37.000 (37.775)	Prec@5 67.000 (68.734)
Epoch: [25][5860/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6292 (2.5438)	Prec@1 32.500 (37.775)	Prec@5 68.000 (68.734)
Epoch: [25][5870/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3986 (2.5437)	Prec@1 41.500 (37.777)	Prec@5 70.000 (68.736)
Epoch: [25][5880/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7969 (2.5438)	Prec@1 28.500 (37.774)	Prec@5 62.000 (68.732)
Epoch: [25][5890/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5817 (2.5438)	Prec@1 40.000 (37.775)	Prec@5 70.500 (68.733)
Epoch: [25][5900/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6211 (2.5438)	Prec@1 36.500 (37.775)	Prec@5 71.000 (68.734)
Epoch: [25][5910/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4021 (2.5438)	Prec@1 39.500 (37.776)	Prec@5 69.500 (68.735)
Epoch: [25][5920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4466 (2.5438)	Prec@1 38.000 (37.774)	Prec@5 72.500 (68.734)
Epoch: [25][5930/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4559 (2.5436)	Prec@1 41.000 (37.777)	Prec@5 69.000 (68.738)
Epoch: [25][5940/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4956 (2.5436)	Prec@1 35.500 (37.777)	Prec@5 67.000 (68.738)
Epoch: [25][5950/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7079 (2.5437)	Prec@1 31.000 (37.775)	Prec@5 69.000 (68.738)
Epoch: [25][5960/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5202 (2.5437)	Prec@1 37.500 (37.775)	Prec@5 66.500 (68.737)
Epoch: [25][5970/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5886 (2.5437)	Prec@1 37.000 (37.775)	Prec@5 67.000 (68.736)
Epoch: [25][5980/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3227 (2.5436)	Prec@1 43.000 (37.776)	Prec@5 75.000 (68.737)
Epoch: [25][5990/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.1702 (2.5435)	Prec@1 48.000 (37.779)	Prec@5 76.000 (68.739)
Epoch: [25][6000/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.5768 (2.5434)	Prec@1 36.500 (37.783)	Prec@5 70.500 (68.741)
Epoch: [25][6010/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5445 (2.5433)	Prec@1 35.000 (37.783)	Prec@5 69.500 (68.742)
Epoch: [25][6020/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5028 (2.5433)	Prec@1 40.500 (37.782)	Prec@5 72.500 (68.744)
Epoch: [25][6030/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5744 (2.5433)	Prec@1 36.000 (37.781)	Prec@5 65.000 (68.745)
Epoch: [25][6040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6031 (2.5434)	Prec@1 39.500 (37.779)	Prec@5 71.000 (68.743)
Epoch: [25][6050/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.4000 (2.5434)	Prec@1 40.500 (37.780)	Prec@5 70.500 (68.742)
Epoch: [25][6060/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5113 (2.5433)	Prec@1 38.500 (37.782)	Prec@5 69.500 (68.743)
Epoch: [25][6070/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3159 (2.5433)	Prec@1 43.500 (37.780)	Prec@5 75.000 (68.743)
Epoch: [25][6080/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6210 (2.5432)	Prec@1 37.000 (37.780)	Prec@5 65.500 (68.746)
Epoch: [25][6090/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6937 (2.5433)	Prec@1 36.500 (37.779)	Prec@5 66.000 (68.745)
Epoch: [25][6100/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6884 (2.5432)	Prec@1 35.000 (37.780)	Prec@5 68.000 (68.750)
Epoch: [25][6110/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5975 (2.5432)	Prec@1 34.500 (37.781)	Prec@5 69.000 (68.750)
Epoch: [25][6120/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3227 (2.5432)	Prec@1 41.000 (37.782)	Prec@5 75.500 (68.753)
Epoch: [25][6130/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4345 (2.5432)	Prec@1 38.500 (37.782)	Prec@5 69.500 (68.754)
Epoch: [25][6140/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4804 (2.5433)	Prec@1 40.500 (37.782)	Prec@5 67.000 (68.752)
Epoch: [25][6150/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5634 (2.5433)	Prec@1 36.500 (37.784)	Prec@5 70.000 (68.749)
Epoch: [25][6160/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3572 (2.5435)	Prec@1 43.500 (37.783)	Prec@5 71.000 (68.746)
Epoch: [25][6170/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.7624 (2.5435)	Prec@1 38.500 (37.786)	Prec@5 63.000 (68.745)
Epoch: [25][6180/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.3836 (2.5435)	Prec@1 39.000 (37.786)	Prec@5 75.000 (68.744)
Epoch: [25][6190/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4901 (2.5437)	Prec@1 37.000 (37.783)	Prec@5 70.500 (68.742)
Epoch: [25][6200/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.3962 (2.5437)	Prec@1 40.500 (37.783)	Prec@5 71.000 (68.743)
Epoch: [25][6210/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3636 (2.5436)	Prec@1 44.500 (37.784)	Prec@5 72.000 (68.745)
Epoch: [25][6220/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4770 (2.5435)	Prec@1 39.500 (37.785)	Prec@5 68.500 (68.746)
Epoch: [25][6230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8351 (2.5435)	Prec@1 31.500 (37.785)	Prec@5 67.500 (68.746)
Epoch: [25][6240/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7282 (2.5436)	Prec@1 34.000 (37.782)	Prec@5 64.000 (68.743)
Epoch: [25][6250/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5609 (2.5437)	Prec@1 40.000 (37.779)	Prec@5 67.000 (68.740)
Epoch: [25][6260/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5051 (2.5438)	Prec@1 38.000 (37.778)	Prec@5 73.500 (68.740)
Epoch: [25][6270/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7846 (2.5439)	Prec@1 33.500 (37.777)	Prec@5 62.000 (68.738)
Epoch: [25][6280/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4478 (2.5439)	Prec@1 38.000 (37.776)	Prec@5 70.500 (68.736)
Epoch: [25][6290/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5167 (2.5440)	Prec@1 39.000 (37.774)	Prec@5 67.500 (68.736)
Epoch: [25][6300/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.4342 (2.5441)	Prec@1 37.500 (37.771)	Prec@5 69.500 (68.733)
Epoch: [25][6310/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6307 (2.5442)	Prec@1 37.500 (37.770)	Prec@5 62.000 (68.729)
Epoch: [25][6320/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.4395 (2.5442)	Prec@1 41.000 (37.771)	Prec@5 69.000 (68.728)
Epoch: [25][6330/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.3019 (2.5441)	Prec@1 41.500 (37.774)	Prec@5 72.500 (68.730)
Epoch: [25][6340/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5192 (2.5442)	Prec@1 42.500 (37.775)	Prec@5 65.000 (68.726)
Epoch: [25][6350/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6713 (2.5442)	Prec@1 37.500 (37.774)	Prec@5 66.500 (68.725)
Epoch: [25][6360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4718 (2.5443)	Prec@1 42.000 (37.773)	Prec@5 71.000 (68.723)
Epoch: [25][6370/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5113 (2.5445)	Prec@1 33.000 (37.770)	Prec@5 69.500 (68.720)
Epoch: [25][6380/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.4382 (2.5444)	Prec@1 38.500 (37.770)	Prec@5 69.500 (68.722)
Epoch: [25][6390/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4044 (2.5444)	Prec@1 39.000 (37.770)	Prec@5 73.000 (68.722)
Epoch: [25][6400/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6875 (2.5445)	Prec@1 35.000 (37.769)	Prec@5 68.500 (68.720)
Epoch: [25][6410/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4725 (2.5445)	Prec@1 36.000 (37.767)	Prec@5 69.500 (68.719)
Epoch: [25][6420/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.7063 (2.5447)	Prec@1 35.000 (37.764)	Prec@5 69.000 (68.718)
Epoch: [25][6430/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.7187 (2.5447)	Prec@1 37.500 (37.765)	Prec@5 64.000 (68.719)
Epoch: [25][6440/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5982 (2.5447)	Prec@1 38.000 (37.766)	Prec@5 70.500 (68.719)
Epoch: [25][6450/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4952 (2.5448)	Prec@1 38.000 (37.764)	Prec@5 65.500 (68.716)
Epoch: [25][6460/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4522 (2.5449)	Prec@1 36.500 (37.762)	Prec@5 69.500 (68.716)
Epoch: [25][6470/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5845 (2.5448)	Prec@1 36.000 (37.761)	Prec@5 67.000 (68.717)
Epoch: [25][6480/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4965 (2.5448)	Prec@1 43.000 (37.763)	Prec@5 66.500 (68.719)
Epoch: [25][6490/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4487 (2.5448)	Prec@1 38.500 (37.764)	Prec@5 72.000 (68.720)
Epoch: [25][6500/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.3633 (2.5448)	Prec@1 39.500 (37.762)	Prec@5 73.500 (68.719)
Epoch: [25][6510/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5729 (2.5448)	Prec@1 37.000 (37.762)	Prec@5 71.000 (68.720)
Epoch: [25][6520/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4675 (2.5448)	Prec@1 36.500 (37.759)	Prec@5 73.000 (68.721)
Epoch: [25][6530/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3557 (2.5448)	Prec@1 39.000 (37.760)	Prec@5 72.500 (68.723)
Epoch: [25][6540/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5674 (2.5448)	Prec@1 38.500 (37.758)	Prec@5 68.000 (68.722)
Epoch: [25][6550/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6044 (2.5449)	Prec@1 36.000 (37.758)	Prec@5 68.500 (68.720)
Epoch: [25][6560/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7556 (2.5450)	Prec@1 36.000 (37.755)	Prec@5 62.000 (68.718)
Epoch: [25][6570/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4678 (2.5449)	Prec@1 39.000 (37.756)	Prec@5 71.000 (68.720)
Epoch: [25][6580/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5726 (2.5449)	Prec@1 37.000 (37.758)	Prec@5 67.500 (68.721)
Epoch: [25][6590/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3867 (2.5448)	Prec@1 43.500 (37.759)	Prec@5 73.000 (68.723)
Epoch: [25][6600/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5979 (2.5448)	Prec@1 39.000 (37.761)	Prec@5 67.000 (68.724)
Epoch: [25][6610/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7653 (2.5448)	Prec@1 36.500 (37.760)	Prec@5 63.500 (68.721)
Epoch: [25][6620/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5270 (2.5448)	Prec@1 37.000 (37.761)	Prec@5 67.000 (68.723)
Epoch: [25][6630/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4693 (2.5447)	Prec@1 38.000 (37.761)	Prec@5 68.500 (68.723)
Epoch: [25][6640/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4230 (2.5447)	Prec@1 44.000 (37.762)	Prec@5 67.500 (68.723)
Epoch: [25][6650/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4419 (2.5447)	Prec@1 39.500 (37.761)	Prec@5 70.000 (68.722)
Epoch: [25][6660/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.3824 (2.5446)	Prec@1 40.500 (37.762)	Prec@5 72.000 (68.723)
Epoch: [25][6670/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6166 (2.5447)	Prec@1 37.000 (37.761)	Prec@5 66.500 (68.722)
Epoch: [25][6680/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4484 (2.5447)	Prec@1 37.000 (37.762)	Prec@5 72.500 (68.722)
Epoch: [25][6690/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.3560 (2.5447)	Prec@1 44.000 (37.765)	Prec@5 72.000 (68.722)
Epoch: [25][6700/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5281 (2.5447)	Prec@1 38.000 (37.765)	Prec@5 70.500 (68.723)
Epoch: [25][6710/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.2896 (2.5447)	Prec@1 42.000 (37.766)	Prec@5 75.000 (68.724)
Epoch: [25][6720/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5790 (2.5447)	Prec@1 35.000 (37.766)	Prec@5 67.500 (68.724)
Epoch: [25][6730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5171 (2.5447)	Prec@1 39.500 (37.765)	Prec@5 69.000 (68.723)
Epoch: [25][6740/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6486 (2.5446)	Prec@1 36.500 (37.765)	Prec@5 66.000 (68.724)
Epoch: [25][6750/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4228 (2.5446)	Prec@1 37.500 (37.766)	Prec@5 72.500 (68.725)
Epoch: [25][6760/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4561 (2.5445)	Prec@1 41.000 (37.766)	Prec@5 70.000 (68.726)
Epoch: [25][6770/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4806 (2.5445)	Prec@1 38.000 (37.765)	Prec@5 65.500 (68.725)
Epoch: [25][6780/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5540 (2.5447)	Prec@1 41.000 (37.765)	Prec@5 67.000 (68.722)
Epoch: [25][6790/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6686 (2.5447)	Prec@1 31.000 (37.763)	Prec@5 64.500 (68.721)
Epoch: [25][6800/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6546 (2.5448)	Prec@1 34.000 (37.762)	Prec@5 66.000 (68.721)
Epoch: [25][6810/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6226 (2.5447)	Prec@1 36.000 (37.765)	Prec@5 66.500 (68.723)
Epoch: [25][6820/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4649 (2.5448)	Prec@1 37.500 (37.766)	Prec@5 72.000 (68.723)
Epoch: [25][6830/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5320 (2.5449)	Prec@1 37.500 (37.764)	Prec@5 70.500 (68.722)
Epoch: [25][6840/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4799 (2.5449)	Prec@1 38.500 (37.765)	Prec@5 71.500 (68.722)
Epoch: [25][6850/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5573 (2.5448)	Prec@1 36.500 (37.767)	Prec@5 66.000 (68.723)
Epoch: [25][6860/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4540 (2.5449)	Prec@1 36.000 (37.767)	Prec@5 70.000 (68.723)
Epoch: [25][6870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8108 (2.5449)	Prec@1 31.000 (37.766)	Prec@5 64.000 (68.722)
Epoch: [25][6880/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6946 (2.5448)	Prec@1 36.500 (37.767)	Prec@5 63.500 (68.722)
Epoch: [25][6890/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4672 (2.5448)	Prec@1 32.500 (37.766)	Prec@5 74.500 (68.724)
Epoch: [25][6900/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.7180 (2.5447)	Prec@1 34.000 (37.767)	Prec@5 67.000 (68.725)
Epoch: [25][6910/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5582 (2.5448)	Prec@1 37.500 (37.765)	Prec@5 71.000 (68.725)
Epoch: [25][6920/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5876 (2.5449)	Prec@1 36.000 (37.762)	Prec@5 63.500 (68.722)
Epoch: [25][6930/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4137 (2.5448)	Prec@1 41.000 (37.763)	Prec@5 72.500 (68.724)
Epoch: [25][6940/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6089 (2.5448)	Prec@1 33.000 (37.764)	Prec@5 67.500 (68.724)
Epoch: [25][6950/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5872 (2.5449)	Prec@1 40.000 (37.763)	Prec@5 67.000 (68.722)
Epoch: [25][6960/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5214 (2.5448)	Prec@1 38.500 (37.765)	Prec@5 69.500 (68.722)
Epoch: [25][6970/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6102 (2.5448)	Prec@1 35.000 (37.765)	Prec@5 70.000 (68.722)
Epoch: [25][6980/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5925 (2.5448)	Prec@1 36.500 (37.766)	Prec@5 69.000 (68.722)
Epoch: [25][6990/9018]	Time 0.712 (0.615)	Data 0.001 (0.001)	Loss 2.7441 (2.5450)	Prec@1 38.000 (37.765)	Prec@5 67.000 (68.717)
Epoch: [25][7000/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7091 (2.5450)	Prec@1 36.000 (37.764)	Prec@5 64.000 (68.715)
Epoch: [25][7010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5301 (2.5451)	Prec@1 35.000 (37.764)	Prec@5 67.500 (68.712)
Epoch: [25][7020/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6495 (2.5452)	Prec@1 41.000 (37.764)	Prec@5 64.000 (68.712)
Epoch: [25][7030/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6335 (2.5452)	Prec@1 36.000 (37.764)	Prec@5 65.500 (68.710)
Epoch: [25][7040/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.4704 (2.5452)	Prec@1 39.500 (37.764)	Prec@5 72.500 (68.709)
Epoch: [25][7050/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5504 (2.5453)	Prec@1 38.500 (37.762)	Prec@5 66.500 (68.708)
Epoch: [25][7060/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5885 (2.5453)	Prec@1 35.500 (37.760)	Prec@5 67.000 (68.706)
Epoch: [25][7070/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3270 (2.5452)	Prec@1 38.500 (37.762)	Prec@5 72.500 (68.709)
Epoch: [25][7080/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5729 (2.5452)	Prec@1 39.000 (37.764)	Prec@5 67.500 (68.707)
Epoch: [25][7090/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5632 (2.5452)	Prec@1 37.000 (37.763)	Prec@5 67.500 (68.708)
Epoch: [25][7100/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6371 (2.5452)	Prec@1 41.500 (37.765)	Prec@5 64.000 (68.708)
Epoch: [25][7110/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5606 (2.5452)	Prec@1 35.500 (37.765)	Prec@5 71.500 (68.708)
Epoch: [25][7120/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3974 (2.5451)	Prec@1 39.000 (37.768)	Prec@5 68.000 (68.709)
Epoch: [25][7130/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.9859 (2.5452)	Prec@1 28.000 (37.767)	Prec@5 58.500 (68.709)
Epoch: [25][7140/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3904 (2.5452)	Prec@1 43.500 (37.768)	Prec@5 71.500 (68.710)
Epoch: [25][7150/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7140 (2.5452)	Prec@1 35.000 (37.766)	Prec@5 65.000 (68.709)
Epoch: [25][7160/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4174 (2.5453)	Prec@1 42.000 (37.764)	Prec@5 68.000 (68.705)
Epoch: [25][7170/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4138 (2.5452)	Prec@1 40.500 (37.767)	Prec@5 71.500 (68.706)
Epoch: [25][7180/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3342 (2.5453)	Prec@1 44.500 (37.766)	Prec@5 71.500 (68.705)
Epoch: [25][7190/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8369 (2.5454)	Prec@1 34.000 (37.767)	Prec@5 61.500 (68.702)
Epoch: [25][7200/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7210 (2.5455)	Prec@1 36.500 (37.765)	Prec@5 68.500 (68.702)
Epoch: [25][7210/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.3976 (2.5455)	Prec@1 39.000 (37.764)	Prec@5 70.500 (68.703)
Epoch: [25][7220/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6245 (2.5455)	Prec@1 35.000 (37.765)	Prec@5 64.000 (68.702)
Epoch: [25][7230/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5196 (2.5455)	Prec@1 40.500 (37.767)	Prec@5 72.000 (68.702)
Epoch: [25][7240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4301 (2.5456)	Prec@1 37.500 (37.763)	Prec@5 76.500 (68.701)
Epoch: [25][7250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4331 (2.5456)	Prec@1 38.500 (37.763)	Prec@5 75.000 (68.702)
Epoch: [25][7260/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3956 (2.5455)	Prec@1 43.000 (37.763)	Prec@5 73.000 (68.703)
Epoch: [25][7270/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6627 (2.5456)	Prec@1 36.000 (37.762)	Prec@5 67.000 (68.702)
Epoch: [25][7280/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.8228 (2.5457)	Prec@1 32.000 (37.760)	Prec@5 64.000 (68.699)
Epoch: [25][7290/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2827 (2.5458)	Prec@1 41.500 (37.759)	Prec@5 73.000 (68.700)
Epoch: [25][7300/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6465 (2.5458)	Prec@1 35.500 (37.759)	Prec@5 65.500 (68.699)
Epoch: [25][7310/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3401 (2.5458)	Prec@1 39.000 (37.758)	Prec@5 73.000 (68.699)
Epoch: [25][7320/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.5251 (2.5457)	Prec@1 38.500 (37.760)	Prec@5 69.000 (68.701)
Epoch: [25][7330/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.4762 (2.5458)	Prec@1 38.000 (37.760)	Prec@5 71.500 (68.702)
Epoch: [25][7340/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6307 (2.5459)	Prec@1 41.000 (37.760)	Prec@5 62.000 (68.698)
Epoch: [25][7350/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5646 (2.5459)	Prec@1 40.500 (37.760)	Prec@5 64.500 (68.695)
Epoch: [25][7360/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.3977 (2.5458)	Prec@1 41.000 (37.760)	Prec@5 70.000 (68.696)
Epoch: [25][7370/9018]	Time 0.738 (0.615)	Data 0.002 (0.001)	Loss 2.4709 (2.5458)	Prec@1 41.000 (37.760)	Prec@5 69.500 (68.697)
Epoch: [25][7380/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.3719 (2.5458)	Prec@1 38.500 (37.760)	Prec@5 72.000 (68.696)
Epoch: [25][7390/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6315 (2.5458)	Prec@1 36.000 (37.760)	Prec@5 64.500 (68.697)
Epoch: [25][7400/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6368 (2.5458)	Prec@1 41.500 (37.759)	Prec@5 65.500 (68.696)
Epoch: [25][7410/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5699 (2.5458)	Prec@1 36.000 (37.759)	Prec@5 69.000 (68.697)
Epoch: [25][7420/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4698 (2.5458)	Prec@1 41.000 (37.760)	Prec@5 67.000 (68.695)
Epoch: [25][7430/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6312 (2.5459)	Prec@1 32.000 (37.759)	Prec@5 71.000 (68.694)
Epoch: [25][7440/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6476 (2.5459)	Prec@1 38.000 (37.761)	Prec@5 65.500 (68.694)
Epoch: [25][7450/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5570 (2.5460)	Prec@1 41.000 (37.758)	Prec@5 69.000 (68.692)
Epoch: [25][7460/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6841 (2.5460)	Prec@1 34.500 (37.757)	Prec@5 65.500 (68.690)
Epoch: [25][7470/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6570 (2.5461)	Prec@1 36.500 (37.759)	Prec@5 67.500 (68.689)
Epoch: [25][7480/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5405 (2.5460)	Prec@1 38.000 (37.760)	Prec@5 67.500 (68.691)
Epoch: [25][7490/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6039 (2.5459)	Prec@1 38.500 (37.761)	Prec@5 69.500 (68.693)
Epoch: [25][7500/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4291 (2.5459)	Prec@1 40.000 (37.761)	Prec@5 72.500 (68.693)
Epoch: [25][7510/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2954 (2.5459)	Prec@1 42.500 (37.763)	Prec@5 74.500 (68.695)
Epoch: [25][7520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4954 (2.5459)	Prec@1 43.000 (37.762)	Prec@5 67.500 (68.694)
Epoch: [25][7530/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5887 (2.5459)	Prec@1 32.500 (37.760)	Prec@5 64.500 (68.694)
Epoch: [25][7540/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5954 (2.5458)	Prec@1 38.500 (37.760)	Prec@5 70.500 (68.695)
Epoch: [25][7550/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5592 (2.5458)	Prec@1 41.000 (37.761)	Prec@5 68.500 (68.698)
Epoch: [25][7560/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6538 (2.5458)	Prec@1 34.000 (37.759)	Prec@5 68.000 (68.698)
Epoch: [25][7570/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5125 (2.5458)	Prec@1 43.500 (37.759)	Prec@5 69.500 (68.698)
Epoch: [25][7580/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.8834 (2.5459)	Prec@1 32.000 (37.757)	Prec@5 62.500 (68.697)
Epoch: [25][7590/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5925 (2.5458)	Prec@1 37.000 (37.759)	Prec@5 67.000 (68.698)
Epoch: [25][7600/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5663 (2.5459)	Prec@1 34.500 (37.757)	Prec@5 66.500 (68.697)
Epoch: [25][7610/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3133 (2.5459)	Prec@1 42.000 (37.755)	Prec@5 73.500 (68.695)
Epoch: [25][7620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5526 (2.5459)	Prec@1 38.000 (37.757)	Prec@5 69.000 (68.695)
Epoch: [25][7630/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.2568 (2.5459)	Prec@1 44.500 (37.757)	Prec@5 75.000 (68.696)
Epoch: [25][7640/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6954 (2.5459)	Prec@1 33.500 (37.757)	Prec@5 64.000 (68.696)
Epoch: [25][7650/9018]	Time 0.755 (0.615)	Data 0.001 (0.001)	Loss 2.3316 (2.5459)	Prec@1 44.500 (37.758)	Prec@5 73.500 (68.695)
Epoch: [25][7660/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5480 (2.5459)	Prec@1 40.500 (37.759)	Prec@5 68.500 (68.697)
Epoch: [25][7670/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6482 (2.5459)	Prec@1 34.500 (37.759)	Prec@5 66.000 (68.696)
Epoch: [25][7680/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5109 (2.5457)	Prec@1 36.500 (37.762)	Prec@5 69.500 (68.699)
Epoch: [25][7690/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.8013 (2.5458)	Prec@1 30.000 (37.760)	Prec@5 64.500 (68.698)
Epoch: [25][7700/9018]	Time 0.751 (0.615)	Data 0.001 (0.001)	Loss 2.7157 (2.5457)	Prec@1 38.500 (37.762)	Prec@5 64.000 (68.698)
Epoch: [25][7710/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6460 (2.5459)	Prec@1 33.000 (37.760)	Prec@5 68.000 (68.697)
Epoch: [25][7720/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6721 (2.5460)	Prec@1 36.500 (37.758)	Prec@5 69.500 (68.693)
Epoch: [25][7730/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5896 (2.5460)	Prec@1 36.500 (37.757)	Prec@5 67.500 (68.691)
Epoch: [25][7740/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.3764 (2.5459)	Prec@1 39.500 (37.760)	Prec@5 75.000 (68.693)
Epoch: [25][7750/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6903 (2.5460)	Prec@1 35.500 (37.758)	Prec@5 63.000 (68.690)
Epoch: [25][7760/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3931 (2.5460)	Prec@1 43.500 (37.757)	Prec@5 68.000 (68.690)
Epoch: [25][7770/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4944 (2.5460)	Prec@1 42.000 (37.756)	Prec@5 73.500 (68.692)
Epoch: [25][7780/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5854 (2.5459)	Prec@1 39.000 (37.758)	Prec@5 66.500 (68.694)
Epoch: [25][7790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4609 (2.5460)	Prec@1 36.500 (37.758)	Prec@5 69.500 (68.694)
Epoch: [25][7800/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7089 (2.5461)	Prec@1 37.000 (37.757)	Prec@5 62.500 (68.691)
Epoch: [25][7810/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4313 (2.5461)	Prec@1 42.500 (37.756)	Prec@5 74.500 (68.692)
Epoch: [25][7820/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7651 (2.5461)	Prec@1 35.500 (37.757)	Prec@5 65.000 (68.691)
Epoch: [25][7830/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3370 (2.5461)	Prec@1 42.500 (37.757)	Prec@5 73.500 (68.691)
Epoch: [25][7840/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3869 (2.5461)	Prec@1 38.500 (37.758)	Prec@5 71.500 (68.693)
Epoch: [25][7850/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8297 (2.5461)	Prec@1 32.500 (37.758)	Prec@5 65.000 (68.691)
Epoch: [25][7860/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5332 (2.5461)	Prec@1 40.000 (37.759)	Prec@5 70.000 (68.690)
Epoch: [25][7870/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6158 (2.5461)	Prec@1 39.000 (37.758)	Prec@5 67.500 (68.688)
Epoch: [25][7880/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4768 (2.5461)	Prec@1 36.500 (37.759)	Prec@5 67.000 (68.687)
Epoch: [25][7890/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4388 (2.5461)	Prec@1 39.000 (37.758)	Prec@5 71.000 (68.688)
Epoch: [25][7900/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5364 (2.5461)	Prec@1 37.000 (37.760)	Prec@5 72.000 (68.687)
Epoch: [25][7910/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7157 (2.5462)	Prec@1 38.500 (37.759)	Prec@5 68.000 (68.687)
Epoch: [25][7920/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6722 (2.5461)	Prec@1 35.000 (37.761)	Prec@5 67.000 (68.687)
Epoch: [25][7930/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6534 (2.5461)	Prec@1 37.500 (37.763)	Prec@5 65.000 (68.688)
Epoch: [25][7940/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4337 (2.5460)	Prec@1 40.000 (37.765)	Prec@5 70.500 (68.690)
Epoch: [25][7950/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6589 (2.5460)	Prec@1 37.500 (37.766)	Prec@5 64.500 (68.690)
Epoch: [25][7960/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5931 (2.5461)	Prec@1 40.500 (37.766)	Prec@5 67.500 (68.687)
Epoch: [25][7970/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5511 (2.5461)	Prec@1 41.500 (37.766)	Prec@5 69.000 (68.688)
Epoch: [25][7980/9018]	Time 0.709 (0.615)	Data 0.001 (0.001)	Loss 2.7559 (2.5461)	Prec@1 35.000 (37.766)	Prec@5 65.500 (68.688)
Epoch: [25][7990/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4217 (2.5461)	Prec@1 41.500 (37.766)	Prec@5 70.500 (68.688)
Epoch: [25][8000/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4611 (2.5461)	Prec@1 37.500 (37.763)	Prec@5 68.000 (68.686)
Epoch: [25][8010/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6563 (2.5462)	Prec@1 36.000 (37.763)	Prec@5 66.000 (68.686)
Epoch: [25][8020/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5719 (2.5463)	Prec@1 36.000 (37.762)	Prec@5 67.000 (68.685)
Epoch: [25][8030/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.4131 (2.5462)	Prec@1 41.000 (37.761)	Prec@5 68.000 (68.685)
Epoch: [25][8040/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4644 (2.5462)	Prec@1 37.000 (37.760)	Prec@5 70.000 (68.686)
Epoch: [25][8050/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5263 (2.5462)	Prec@1 38.500 (37.760)	Prec@5 68.000 (68.687)
Epoch: [25][8060/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4450 (2.5462)	Prec@1 37.500 (37.758)	Prec@5 72.000 (68.686)
Epoch: [25][8070/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6186 (2.5462)	Prec@1 35.500 (37.758)	Prec@5 69.000 (68.686)
Epoch: [25][8080/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4632 (2.5462)	Prec@1 37.000 (37.758)	Prec@5 73.500 (68.685)
Epoch: [25][8090/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4896 (2.5462)	Prec@1 41.500 (37.759)	Prec@5 66.000 (68.686)
Epoch: [25][8100/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6068 (2.5463)	Prec@1 35.000 (37.758)	Prec@5 65.500 (68.685)
Epoch: [25][8110/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6876 (2.5463)	Prec@1 35.000 (37.757)	Prec@5 66.500 (68.683)
Epoch: [25][8120/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6483 (2.5463)	Prec@1 36.000 (37.756)	Prec@5 66.500 (68.684)
Epoch: [25][8130/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4553 (2.5463)	Prec@1 39.500 (37.757)	Prec@5 72.500 (68.684)
Epoch: [25][8140/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6926 (2.5463)	Prec@1 34.000 (37.758)	Prec@5 69.500 (68.685)
Epoch: [25][8150/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7099 (2.5463)	Prec@1 33.500 (37.759)	Prec@5 66.500 (68.683)
Epoch: [25][8160/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4446 (2.5463)	Prec@1 38.500 (37.758)	Prec@5 70.500 (68.683)
Epoch: [25][8170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3949 (2.5464)	Prec@1 40.500 (37.757)	Prec@5 72.000 (68.680)
Epoch: [25][8180/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5228 (2.5463)	Prec@1 38.500 (37.759)	Prec@5 71.500 (68.681)
Epoch: [25][8190/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5840 (2.5463)	Prec@1 38.000 (37.759)	Prec@5 67.000 (68.682)
Epoch: [25][8200/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7703 (2.5464)	Prec@1 35.500 (37.757)	Prec@5 64.000 (68.679)
Epoch: [25][8210/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5053 (2.5464)	Prec@1 39.500 (37.759)	Prec@5 69.500 (68.680)
Epoch: [25][8220/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4319 (2.5464)	Prec@1 38.000 (37.759)	Prec@5 69.500 (68.680)
Epoch: [25][8230/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4925 (2.5463)	Prec@1 39.000 (37.760)	Prec@5 70.500 (68.682)
Epoch: [25][8240/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5844 (2.5463)	Prec@1 36.000 (37.761)	Prec@5 66.500 (68.680)
Epoch: [25][8250/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.3565 (2.5463)	Prec@1 40.000 (37.760)	Prec@5 74.500 (68.680)
Epoch: [25][8260/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6127 (2.5463)	Prec@1 36.000 (37.760)	Prec@5 68.000 (68.681)
Epoch: [25][8270/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4332 (2.5462)	Prec@1 40.500 (37.763)	Prec@5 69.500 (68.682)
Epoch: [25][8280/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5069 (2.5462)	Prec@1 37.000 (37.762)	Prec@5 66.000 (68.681)
Epoch: [25][8290/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5057 (2.5462)	Prec@1 39.000 (37.763)	Prec@5 68.500 (68.682)
Epoch: [25][8300/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4669 (2.5461)	Prec@1 40.000 (37.766)	Prec@5 71.000 (68.683)
Epoch: [25][8310/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.5375 (2.5460)	Prec@1 38.000 (37.768)	Prec@5 67.500 (68.684)
Epoch: [25][8320/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4705 (2.5460)	Prec@1 43.000 (37.770)	Prec@5 71.500 (68.684)
Epoch: [25][8330/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3566 (2.5461)	Prec@1 40.500 (37.769)	Prec@5 73.500 (68.683)
Epoch: [25][8340/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5245 (2.5461)	Prec@1 38.500 (37.767)	Prec@5 71.500 (68.682)
Epoch: [25][8350/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4783 (2.5461)	Prec@1 35.500 (37.766)	Prec@5 72.500 (68.679)
Epoch: [25][8360/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.5971 (2.5462)	Prec@1 36.500 (37.764)	Prec@5 69.000 (68.678)
Epoch: [25][8370/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6623 (2.5462)	Prec@1 36.500 (37.763)	Prec@5 62.500 (68.677)
Epoch: [25][8380/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6461 (2.5463)	Prec@1 37.500 (37.762)	Prec@5 68.500 (68.675)
Epoch: [25][8390/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3143 (2.5462)	Prec@1 42.500 (37.763)	Prec@5 73.000 (68.676)
Epoch: [25][8400/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5816 (2.5463)	Prec@1 32.500 (37.761)	Prec@5 64.500 (68.675)
Epoch: [25][8410/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3722 (2.5462)	Prec@1 44.500 (37.761)	Prec@5 67.000 (68.675)
Epoch: [25][8420/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3649 (2.5463)	Prec@1 42.000 (37.761)	Prec@5 70.500 (68.675)
Epoch: [25][8430/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5667 (2.5462)	Prec@1 37.000 (37.760)	Prec@5 71.500 (68.676)
Epoch: [25][8440/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4576 (2.5461)	Prec@1 44.000 (37.763)	Prec@5 68.000 (68.679)
Epoch: [25][8450/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5718 (2.5461)	Prec@1 38.000 (37.765)	Prec@5 64.000 (68.680)
Epoch: [25][8460/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4766 (2.5460)	Prec@1 37.000 (37.766)	Prec@5 70.000 (68.681)
Epoch: [25][8470/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6496 (2.5460)	Prec@1 37.000 (37.767)	Prec@5 68.500 (68.683)
Epoch: [25][8480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6674 (2.5460)	Prec@1 31.500 (37.767)	Prec@5 68.500 (68.684)
Epoch: [25][8490/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5622 (2.5459)	Prec@1 42.500 (37.769)	Prec@5 69.500 (68.685)
Epoch: [25][8500/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4555 (2.5459)	Prec@1 38.500 (37.769)	Prec@5 72.000 (68.685)
Epoch: [25][8510/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.6824 (2.5459)	Prec@1 32.500 (37.771)	Prec@5 67.500 (68.687)
Epoch: [25][8520/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7238 (2.5459)	Prec@1 38.000 (37.770)	Prec@5 64.500 (68.685)
Epoch: [25][8530/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6294 (2.5459)	Prec@1 37.000 (37.771)	Prec@5 68.000 (68.684)
Epoch: [25][8540/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6398 (2.5460)	Prec@1 37.500 (37.770)	Prec@5 65.000 (68.683)
Epoch: [25][8550/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4995 (2.5461)	Prec@1 38.000 (37.768)	Prec@5 71.000 (68.681)
Epoch: [25][8560/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6410 (2.5461)	Prec@1 43.000 (37.768)	Prec@5 66.500 (68.680)
Epoch: [25][8570/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5856 (2.5461)	Prec@1 36.500 (37.767)	Prec@5 68.000 (68.680)
Epoch: [25][8580/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6360 (2.5462)	Prec@1 35.500 (37.767)	Prec@5 66.500 (68.679)
Epoch: [25][8590/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.6083 (2.5461)	Prec@1 36.000 (37.767)	Prec@5 67.500 (68.680)
Epoch: [25][8600/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7482 (2.5463)	Prec@1 36.500 (37.765)	Prec@5 67.500 (68.678)
Epoch: [25][8610/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5645 (2.5462)	Prec@1 32.500 (37.765)	Prec@5 67.000 (68.678)
Epoch: [25][8620/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5541 (2.5463)	Prec@1 39.000 (37.762)	Prec@5 69.000 (68.677)
Epoch: [25][8630/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5411 (2.5463)	Prec@1 38.500 (37.761)	Prec@5 72.500 (68.678)
Epoch: [25][8640/9018]	Time 0.707 (0.615)	Data 0.001 (0.001)	Loss 2.2835 (2.5464)	Prec@1 41.000 (37.759)	Prec@5 72.500 (68.677)
Epoch: [25][8650/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4453 (2.5464)	Prec@1 35.000 (37.758)	Prec@5 72.500 (68.677)
Epoch: [25][8660/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6463 (2.5465)	Prec@1 35.500 (37.758)	Prec@5 70.500 (68.676)
Epoch: [25][8670/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4228 (2.5464)	Prec@1 42.500 (37.759)	Prec@5 68.500 (68.678)
Epoch: [25][8680/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5363 (2.5464)	Prec@1 35.000 (37.758)	Prec@5 65.500 (68.677)
Epoch: [25][8690/9018]	Time 0.760 (0.615)	Data 0.001 (0.001)	Loss 2.6217 (2.5464)	Prec@1 35.000 (37.758)	Prec@5 64.500 (68.677)
Epoch: [25][8700/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5312 (2.5465)	Prec@1 41.500 (37.759)	Prec@5 69.500 (68.676)
Epoch: [25][8710/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3558 (2.5464)	Prec@1 42.500 (37.759)	Prec@5 73.000 (68.677)
Epoch: [25][8720/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1766 (2.5465)	Prec@1 44.000 (37.757)	Prec@5 75.500 (68.677)
Epoch: [25][8730/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6120 (2.5465)	Prec@1 39.000 (37.759)	Prec@5 69.000 (68.677)
Epoch: [25][8740/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5444 (2.5465)	Prec@1 37.500 (37.759)	Prec@5 68.000 (68.677)
Epoch: [25][8750/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2242 (2.5465)	Prec@1 44.500 (37.759)	Prec@5 75.500 (68.676)
Epoch: [25][8760/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6195 (2.5465)	Prec@1 41.000 (37.760)	Prec@5 64.500 (68.676)
Epoch: [25][8770/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.2925 (2.5465)	Prec@1 43.000 (37.758)	Prec@5 76.500 (68.677)
Epoch: [25][8780/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5787 (2.5466)	Prec@1 36.000 (37.758)	Prec@5 69.500 (68.674)
Epoch: [25][8790/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5414 (2.5466)	Prec@1 39.500 (37.757)	Prec@5 72.500 (68.673)
Epoch: [25][8800/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5998 (2.5466)	Prec@1 39.500 (37.756)	Prec@5 64.000 (68.674)
Epoch: [25][8810/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3042 (2.5466)	Prec@1 41.000 (37.755)	Prec@5 73.000 (68.673)
Epoch: [25][8820/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5904 (2.5466)	Prec@1 32.500 (37.752)	Prec@5 68.500 (68.672)
Epoch: [25][8830/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4117 (2.5467)	Prec@1 35.500 (37.750)	Prec@5 71.500 (68.671)
Epoch: [25][8840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4649 (2.5467)	Prec@1 41.500 (37.751)	Prec@5 71.000 (68.672)
Epoch: [25][8850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4934 (2.5467)	Prec@1 39.500 (37.750)	Prec@5 70.500 (68.670)
Epoch: [25][8860/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6219 (2.5468)	Prec@1 35.000 (37.750)	Prec@5 67.000 (68.669)
Epoch: [25][8870/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5412 (2.5468)	Prec@1 37.500 (37.750)	Prec@5 71.000 (68.670)
Epoch: [25][8880/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6572 (2.5468)	Prec@1 33.000 (37.749)	Prec@5 67.000 (68.670)
Epoch: [25][8890/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3592 (2.5469)	Prec@1 39.500 (37.748)	Prec@5 70.000 (68.669)
Epoch: [25][8900/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7589 (2.5469)	Prec@1 35.000 (37.747)	Prec@5 61.500 (68.668)
Epoch: [25][8910/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4442 (2.5470)	Prec@1 40.000 (37.745)	Prec@5 68.500 (68.668)
Epoch: [25][8920/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6050 (2.5469)	Prec@1 37.500 (37.745)	Prec@5 67.000 (68.669)
Epoch: [25][8930/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5288 (2.5470)	Prec@1 36.000 (37.744)	Prec@5 67.500 (68.670)
Epoch: [25][8940/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1338 (2.5469)	Prec@1 43.500 (37.746)	Prec@5 77.000 (68.671)
Epoch: [25][8950/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6374 (2.5469)	Prec@1 33.500 (37.746)	Prec@5 66.500 (68.671)
Epoch: [25][8960/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6169 (2.5470)	Prec@1 35.500 (37.745)	Prec@5 66.000 (68.670)
Epoch: [25][8970/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 2.2931 (2.5469)	Prec@1 41.000 (37.746)	Prec@5 72.500 (68.671)
Epoch: [25][8980/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5317 (2.5469)	Prec@1 36.500 (37.746)	Prec@5 71.000 (68.671)
Epoch: [25][8990/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.8981 (2.5469)	Prec@1 30.500 (37.746)	Prec@5 60.000 (68.672)
Epoch: [25][9000/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5875 (2.5470)	Prec@1 37.000 (37.744)	Prec@5 69.000 (68.671)
Epoch: [25][9010/9018]	Time 0.605 (0.615)	Data 0.000 (0.001)	Loss 2.8349 (2.5470)	Prec@1 34.500 (37.744)	Prec@5 67.500 (68.670)
Test: [0/183]	Time 1.334 (1.334)	Loss 2.9567 (2.9567)	Prec@1 31.500 (31.500)	Prec@5 63.500 (63.500)
Test: [10/183]	Time 0.189 (0.309)	Loss 2.3214 (2.1723)	Prec@1 43.000 (44.682)	Prec@5 72.000 (78.091)
Test: [20/183]	Time 0.190 (0.255)	Loss 1.8813 (2.1261)	Prec@1 54.500 (46.119)	Prec@5 84.500 (77.524)
Test: [30/183]	Time 0.183 (0.233)	Loss 2.8162 (2.1338)	Prec@1 27.000 (45.048)	Prec@5 66.500 (77.500)
Test: [40/183]	Time 0.181 (0.224)	Loss 2.5203 (2.1599)	Prec@1 39.000 (45.268)	Prec@5 75.000 (76.537)
Test: [50/183]	Time 0.194 (0.218)	Loss 2.1960 (2.1530)	Prec@1 36.500 (45.245)	Prec@5 76.500 (76.539)
Test: [60/183]	Time 0.202 (0.215)	Loss 2.6038 (2.2122)	Prec@1 38.500 (43.672)	Prec@5 67.500 (75.426)
Test: [70/183]	Time 0.190 (0.213)	Loss 2.2614 (2.2075)	Prec@1 46.500 (43.930)	Prec@5 77.000 (75.655)
Test: [80/183]	Time 0.182 (0.210)	Loss 2.5816 (2.2115)	Prec@1 33.000 (43.772)	Prec@5 72.500 (75.654)
Test: [90/183]	Time 0.182 (0.208)	Loss 3.0067 (2.2253)	Prec@1 27.500 (43.137)	Prec@5 59.000 (75.473)
Test: [100/183]	Time 0.197 (0.207)	Loss 1.1304 (2.2428)	Prec@1 69.500 (42.723)	Prec@5 91.500 (75.084)
Test: [110/183]	Time 0.184 (0.206)	Loss 1.6008 (2.2512)	Prec@1 60.500 (42.419)	Prec@5 87.500 (74.950)
Test: [120/183]	Time 0.207 (0.205)	Loss 2.4499 (2.2536)	Prec@1 36.500 (42.236)	Prec@5 73.500 (74.946)
Test: [130/183]	Time 0.205 (0.204)	Loss 3.6930 (2.2711)	Prec@1 9.500 (41.760)	Prec@5 47.000 (74.832)
Test: [140/183]	Time 0.185 (0.204)	Loss 2.2007 (2.2614)	Prec@1 45.000 (42.124)	Prec@5 73.500 (74.943)
Test: [150/183]	Time 0.204 (0.203)	Loss 0.8509 (2.2458)	Prec@1 78.500 (42.487)	Prec@5 96.500 (75.205)
Test: [160/183]	Time 0.191 (0.203)	Loss 2.4521 (2.2373)	Prec@1 32.000 (42.733)	Prec@5 66.500 (75.351)
Test: [170/183]	Time 0.191 (0.203)	Loss 2.5892 (2.2549)	Prec@1 34.000 (42.289)	Prec@5 71.000 (74.982)
Test: [180/183]	Time 0.179 (0.202)	Loss 2.8538 (2.2667)	Prec@1 28.000 (42.182)	Prec@5 66.000 (74.644)
 * Prec@1 42.167 Prec@5 74.592
Epoch: [26][0/9018]	Time 2.746 (2.746)	Data 2.127 (2.127)	Loss 2.6352 (2.6352)	Prec@1 35.000 (35.000)	Prec@5 66.500 (66.500)
Epoch: [26][10/9018]	Time 0.595 (0.806)	Data 0.001 (0.194)	Loss 2.5422 (2.5912)	Prec@1 35.500 (37.409)	Prec@5 69.500 (68.773)
Epoch: [26][20/9018]	Time 0.595 (0.712)	Data 0.001 (0.102)	Loss 2.6230 (2.5783)	Prec@1 38.000 (36.667)	Prec@5 67.500 (68.214)
Epoch: [26][30/9018]	Time 0.605 (0.675)	Data 0.001 (0.069)	Loss 2.4738 (2.6146)	Prec@1 36.500 (35.871)	Prec@5 67.500 (67.258)
Epoch: [26][40/9018]	Time 0.628 (0.662)	Data 0.001 (0.053)	Loss 2.3501 (2.5968)	Prec@1 40.000 (36.415)	Prec@5 73.500 (67.305)
Epoch: [26][50/9018]	Time 0.744 (0.656)	Data 0.001 (0.042)	Loss 2.7145 (2.5900)	Prec@1 34.000 (36.804)	Prec@5 65.000 (67.451)
Epoch: [26][60/9018]	Time 0.620 (0.647)	Data 0.001 (0.036)	Loss 2.3896 (2.5753)	Prec@1 38.000 (37.180)	Prec@5 73.000 (67.811)
Epoch: [26][70/9018]	Time 0.605 (0.645)	Data 0.001 (0.031)	Loss 2.5900 (2.5771)	Prec@1 36.500 (37.268)	Prec@5 68.000 (67.796)
Epoch: [26][80/9018]	Time 0.626 (0.641)	Data 0.001 (0.027)	Loss 2.5351 (2.5721)	Prec@1 35.500 (37.364)	Prec@5 68.000 (67.827)
Epoch: [26][90/9018]	Time 0.613 (0.639)	Data 0.001 (0.024)	Loss 2.5719 (2.5718)	Prec@1 34.500 (37.396)	Prec@5 69.000 (67.890)
Epoch: [26][100/9018]	Time 0.734 (0.637)	Data 0.001 (0.022)	Loss 2.3319 (2.5639)	Prec@1 42.500 (37.673)	Prec@5 72.500 (67.995)
Epoch: [26][110/9018]	Time 0.595 (0.633)	Data 0.001 (0.020)	Loss 2.6153 (2.5614)	Prec@1 34.500 (37.626)	Prec@5 69.000 (68.171)
Epoch: [26][120/9018]	Time 0.621 (0.633)	Data 0.001 (0.018)	Loss 2.3694 (2.5610)	Prec@1 40.000 (37.607)	Prec@5 68.500 (68.103)
Epoch: [26][130/9018]	Time 0.601 (0.631)	Data 0.001 (0.017)	Loss 2.5395 (2.5623)	Prec@1 35.500 (37.557)	Prec@5 69.500 (68.130)
Epoch: [26][140/9018]	Time 0.595 (0.630)	Data 0.001 (0.016)	Loss 2.5472 (2.5632)	Prec@1 37.500 (37.585)	Prec@5 66.000 (68.163)
Epoch: [26][150/9018]	Time 0.603 (0.629)	Data 0.001 (0.015)	Loss 2.5537 (2.5603)	Prec@1 36.000 (37.589)	Prec@5 69.000 (68.268)
Epoch: [26][160/9018]	Time 0.598 (0.628)	Data 0.001 (0.014)	Loss 2.3579 (2.5570)	Prec@1 38.500 (37.652)	Prec@5 71.000 (68.351)
Epoch: [26][170/9018]	Time 0.599 (0.627)	Data 0.001 (0.013)	Loss 2.5308 (2.5496)	Prec@1 35.500 (37.728)	Prec@5 69.000 (68.491)
Epoch: [26][180/9018]	Time 0.631 (0.626)	Data 0.001 (0.013)	Loss 2.4487 (2.5486)	Prec@1 39.000 (37.787)	Prec@5 72.500 (68.528)
Epoch: [26][190/9018]	Time 0.612 (0.626)	Data 0.001 (0.012)	Loss 2.6307 (2.5511)	Prec@1 38.000 (37.759)	Prec@5 66.500 (68.505)
Epoch: [26][200/9018]	Time 0.604 (0.626)	Data 0.001 (0.011)	Loss 2.5322 (2.5495)	Prec@1 40.000 (37.811)	Prec@5 67.500 (68.557)
Epoch: [26][210/9018]	Time 0.628 (0.625)	Data 0.001 (0.011)	Loss 2.4893 (2.5505)	Prec@1 45.500 (37.822)	Prec@5 70.500 (68.533)
Epoch: [26][220/9018]	Time 0.602 (0.624)	Data 0.001 (0.010)	Loss 2.3853 (2.5473)	Prec@1 39.000 (37.914)	Prec@5 74.000 (68.595)
Epoch: [26][230/9018]	Time 0.601 (0.624)	Data 0.001 (0.010)	Loss 2.6590 (2.5498)	Prec@1 39.500 (37.913)	Prec@5 67.500 (68.539)
Epoch: [26][240/9018]	Time 0.608 (0.624)	Data 0.001 (0.010)	Loss 2.5516 (2.5482)	Prec@1 40.500 (37.973)	Prec@5 68.500 (68.548)
Epoch: [26][250/9018]	Time 0.599 (0.624)	Data 0.001 (0.009)	Loss 2.2757 (2.5438)	Prec@1 43.000 (38.058)	Prec@5 76.500 (68.584)
Epoch: [26][260/9018]	Time 0.630 (0.623)	Data 0.001 (0.009)	Loss 2.6417 (2.5440)	Prec@1 38.000 (38.046)	Prec@5 69.500 (68.644)
Epoch: [26][270/9018]	Time 0.623 (0.623)	Data 0.001 (0.009)	Loss 2.4333 (2.5420)	Prec@1 37.500 (38.074)	Prec@5 72.000 (68.696)
Epoch: [26][280/9018]	Time 0.604 (0.623)	Data 0.001 (0.008)	Loss 2.3793 (2.5419)	Prec@1 38.000 (38.027)	Prec@5 72.000 (68.667)
Epoch: [26][290/9018]	Time 0.597 (0.623)	Data 0.001 (0.008)	Loss 2.4248 (2.5416)	Prec@1 44.500 (38.065)	Prec@5 67.500 (68.644)
Epoch: [26][300/9018]	Time 0.633 (0.623)	Data 0.001 (0.008)	Loss 2.3812 (2.5411)	Prec@1 40.500 (38.053)	Prec@5 72.000 (68.679)
Epoch: [26][310/9018]	Time 0.624 (0.623)	Data 0.001 (0.008)	Loss 2.7176 (2.5418)	Prec@1 33.500 (38.034)	Prec@5 65.500 (68.722)
Epoch: [26][320/9018]	Time 0.602 (0.623)	Data 0.001 (0.007)	Loss 2.6041 (2.5403)	Prec@1 36.500 (38.101)	Prec@5 62.500 (68.715)
Epoch: [26][330/9018]	Time 0.602 (0.622)	Data 0.001 (0.007)	Loss 2.4452 (2.5410)	Prec@1 41.000 (38.088)	Prec@5 69.500 (68.708)
Epoch: [26][340/9018]	Time 0.604 (0.623)	Data 0.001 (0.007)	Loss 2.5962 (2.5411)	Prec@1 38.000 (38.082)	Prec@5 65.500 (68.689)
Epoch: [26][350/9018]	Time 0.598 (0.622)	Data 0.001 (0.007)	Loss 2.5178 (2.5411)	Prec@1 35.500 (38.050)	Prec@5 71.000 (68.721)
Epoch: [26][360/9018]	Time 0.605 (0.622)	Data 0.001 (0.007)	Loss 2.6270 (2.5404)	Prec@1 43.500 (38.068)	Prec@5 68.500 (68.723)
Epoch: [26][370/9018]	Time 0.597 (0.622)	Data 0.001 (0.006)	Loss 2.6660 (2.5426)	Prec@1 32.500 (38.023)	Prec@5 68.500 (68.708)
Epoch: [26][380/9018]	Time 0.749 (0.622)	Data 0.001 (0.006)	Loss 2.7055 (2.5413)	Prec@1 32.500 (38.026)	Prec@5 63.500 (68.727)
Epoch: [26][390/9018]	Time 0.637 (0.621)	Data 0.001 (0.006)	Loss 2.4749 (2.5406)	Prec@1 39.000 (38.010)	Prec@5 68.500 (68.731)
Epoch: [26][400/9018]	Time 0.603 (0.622)	Data 0.001 (0.006)	Loss 2.6264 (2.5419)	Prec@1 35.500 (37.961)	Prec@5 67.500 (68.718)
Epoch: [26][410/9018]	Time 0.593 (0.621)	Data 0.001 (0.006)	Loss 2.4472 (2.5413)	Prec@1 34.000 (37.965)	Prec@5 74.000 (68.732)
Epoch: [26][420/9018]	Time 0.609 (0.621)	Data 0.001 (0.006)	Loss 2.5254 (2.5406)	Prec@1 40.500 (37.968)	Prec@5 69.000 (68.773)
Epoch: [26][430/9018]	Time 0.707 (0.621)	Data 0.001 (0.006)	Loss 2.4681 (2.5407)	Prec@1 42.000 (37.957)	Prec@5 66.000 (68.760)
Epoch: [26][440/9018]	Time 0.622 (0.621)	Data 0.001 (0.006)	Loss 2.5091 (2.5391)	Prec@1 38.500 (37.988)	Prec@5 68.000 (68.795)
Epoch: [26][450/9018]	Time 0.598 (0.621)	Data 0.001 (0.005)	Loss 2.3604 (2.5377)	Prec@1 42.000 (38.025)	Prec@5 70.500 (68.817)
Epoch: [26][460/9018]	Time 0.628 (0.620)	Data 0.001 (0.005)	Loss 2.5212 (2.5388)	Prec@1 39.500 (38.015)	Prec@5 69.500 (68.795)
Epoch: [26][470/9018]	Time 0.602 (0.620)	Data 0.001 (0.005)	Loss 2.3764 (2.5375)	Prec@1 43.000 (38.055)	Prec@5 73.500 (68.820)
Epoch: [26][480/9018]	Time 0.598 (0.620)	Data 0.001 (0.005)	Loss 2.4592 (2.5368)	Prec@1 40.500 (38.069)	Prec@5 74.000 (68.827)
Epoch: [26][490/9018]	Time 0.590 (0.620)	Data 0.001 (0.005)	Loss 2.5453 (2.5353)	Prec@1 35.000 (38.103)	Prec@5 72.000 (68.871)
Epoch: [26][500/9018]	Time 0.598 (0.620)	Data 0.001 (0.005)	Loss 2.3718 (2.5342)	Prec@1 43.000 (38.105)	Prec@5 74.500 (68.901)
Epoch: [26][510/9018]	Time 0.594 (0.620)	Data 0.001 (0.005)	Loss 2.4299 (2.5331)	Prec@1 41.000 (38.136)	Prec@5 67.500 (68.912)
Epoch: [26][520/9018]	Time 0.604 (0.620)	Data 0.001 (0.005)	Loss 2.3688 (2.5325)	Prec@1 39.500 (38.134)	Prec@5 73.000 (68.934)
Epoch: [26][530/9018]	Time 0.599 (0.620)	Data 0.001 (0.005)	Loss 2.4763 (2.5312)	Prec@1 39.000 (38.137)	Prec@5 70.000 (68.971)
Epoch: [26][540/9018]	Time 0.633 (0.619)	Data 0.001 (0.005)	Loss 2.5697 (2.5318)	Prec@1 38.000 (38.111)	Prec@5 68.500 (68.931)
Epoch: [26][550/9018]	Time 0.615 (0.620)	Data 0.001 (0.005)	Loss 2.5360 (2.5314)	Prec@1 37.000 (38.105)	Prec@5 71.500 (68.933)
Epoch: [26][560/9018]	Time 0.612 (0.619)	Data 0.001 (0.005)	Loss 2.5051 (2.5310)	Prec@1 39.000 (38.130)	Prec@5 68.000 (68.919)
Epoch: [26][570/9018]	Time 0.612 (0.620)	Data 0.001 (0.004)	Loss 2.6289 (2.5309)	Prec@1 34.500 (38.145)	Prec@5 65.500 (68.940)
Epoch: [26][580/9018]	Time 0.597 (0.620)	Data 0.001 (0.004)	Loss 2.4818 (2.5305)	Prec@1 42.500 (38.156)	Prec@5 71.500 (68.950)
Epoch: [26][590/9018]	Time 0.593 (0.619)	Data 0.001 (0.004)	Loss 2.5092 (2.5303)	Prec@1 36.000 (38.158)	Prec@5 71.000 (68.971)
Epoch: [26][600/9018]	Time 0.595 (0.619)	Data 0.001 (0.004)	Loss 2.5442 (2.5297)	Prec@1 43.500 (38.178)	Prec@5 68.500 (68.978)
Epoch: [26][610/9018]	Time 0.624 (0.619)	Data 0.001 (0.004)	Loss 2.5579 (2.5302)	Prec@1 38.000 (38.164)	Prec@5 71.000 (68.974)
Epoch: [26][620/9018]	Time 0.608 (0.619)	Data 0.001 (0.004)	Loss 2.4679 (2.5307)	Prec@1 38.500 (38.159)	Prec@5 68.000 (68.953)
Epoch: [26][630/9018]	Time 0.622 (0.619)	Data 0.001 (0.004)	Loss 2.6367 (2.5306)	Prec@1 34.500 (38.159)	Prec@5 65.000 (68.962)
Epoch: [26][640/9018]	Time 0.635 (0.619)	Data 0.001 (0.004)	Loss 2.5749 (2.5310)	Prec@1 38.500 (38.152)	Prec@5 67.500 (68.952)
Epoch: [26][650/9018]	Time 0.605 (0.619)	Data 0.001 (0.004)	Loss 2.7912 (2.5320)	Prec@1 29.000 (38.097)	Prec@5 64.000 (68.943)
Epoch: [26][660/9018]	Time 0.637 (0.619)	Data 0.001 (0.004)	Loss 2.4578 (2.5320)	Prec@1 39.500 (38.075)	Prec@5 71.000 (68.947)
Epoch: [26][670/9018]	Time 0.606 (0.619)	Data 0.001 (0.004)	Loss 2.5255 (2.5317)	Prec@1 38.000 (38.072)	Prec@5 71.500 (68.964)
Epoch: [26][680/9018]	Time 0.624 (0.619)	Data 0.001 (0.004)	Loss 2.6057 (2.5310)	Prec@1 40.000 (38.094)	Prec@5 72.000 (68.992)
Epoch: [26][690/9018]	Time 0.615 (0.619)	Data 0.001 (0.004)	Loss 2.2606 (2.5298)	Prec@1 43.500 (38.117)	Prec@5 75.000 (69.008)
Epoch: [26][700/9018]	Time 0.596 (0.619)	Data 0.001 (0.004)	Loss 2.4587 (2.5286)	Prec@1 40.500 (38.129)	Prec@5 68.000 (69.016)
Epoch: [26][710/9018]	Time 0.751 (0.619)	Data 0.001 (0.004)	Loss 2.5292 (2.5289)	Prec@1 35.500 (38.113)	Prec@5 68.500 (69.019)
Epoch: [26][720/9018]	Time 0.594 (0.619)	Data 0.001 (0.004)	Loss 2.4791 (2.5280)	Prec@1 33.000 (38.103)	Prec@5 72.000 (69.044)
Epoch: [26][730/9018]	Time 0.604 (0.619)	Data 0.001 (0.004)	Loss 2.6820 (2.5276)	Prec@1 36.000 (38.113)	Prec@5 65.500 (69.033)
Epoch: [26][740/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 2.7613 (2.5287)	Prec@1 34.500 (38.097)	Prec@5 67.000 (69.022)
Epoch: [26][750/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.4704 (2.5288)	Prec@1 42.000 (38.102)	Prec@5 67.000 (69.010)
Epoch: [26][760/9018]	Time 0.728 (0.618)	Data 0.001 (0.004)	Loss 2.4696 (2.5289)	Prec@1 41.500 (38.106)	Prec@5 71.500 (69.008)
Epoch: [26][770/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 2.6770 (2.5295)	Prec@1 36.500 (38.095)	Prec@5 69.000 (69.009)
Epoch: [26][780/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 2.5695 (2.5293)	Prec@1 37.500 (38.113)	Prec@5 67.000 (69.013)
Epoch: [26][790/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 2.5062 (2.5307)	Prec@1 36.500 (38.098)	Prec@5 70.000 (68.984)
Epoch: [26][800/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 2.5925 (2.5299)	Prec@1 34.500 (38.127)	Prec@5 67.500 (68.994)
Epoch: [26][810/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 2.4745 (2.5295)	Prec@1 42.500 (38.134)	Prec@5 69.500 (69.012)
Epoch: [26][820/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 2.3128 (2.5295)	Prec@1 43.000 (38.124)	Prec@5 75.000 (69.019)
Epoch: [26][830/9018]	Time 0.589 (0.618)	Data 0.001 (0.003)	Loss 2.4279 (2.5300)	Prec@1 38.500 (38.105)	Prec@5 69.500 (69.011)
Epoch: [26][840/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 2.5637 (2.5292)	Prec@1 40.000 (38.119)	Prec@5 67.000 (69.024)
Epoch: [26][850/9018]	Time 0.613 (0.618)	Data 0.001 (0.003)	Loss 2.5618 (2.5296)	Prec@1 39.500 (38.112)	Prec@5 69.000 (69.019)
Epoch: [26][860/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 2.5636 (2.5295)	Prec@1 38.500 (38.109)	Prec@5 69.500 (69.014)
Epoch: [26][870/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 2.7344 (2.5297)	Prec@1 32.500 (38.087)	Prec@5 64.000 (69.006)
Epoch: [26][880/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 2.4708 (2.5295)	Prec@1 39.500 (38.089)	Prec@5 73.000 (69.007)
Epoch: [26][890/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 2.4235 (2.5300)	Prec@1 37.000 (38.075)	Prec@5 66.500 (68.998)
Epoch: [26][900/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 2.6528 (2.5294)	Prec@1 34.500 (38.082)	Prec@5 70.000 (69.019)
Epoch: [26][910/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 2.3168 (2.5297)	Prec@1 47.000 (38.067)	Prec@5 75.000 (69.009)
Epoch: [26][920/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 2.4206 (2.5296)	Prec@1 45.000 (38.079)	Prec@5 71.000 (69.014)
Epoch: [26][930/9018]	Time 0.619 (0.618)	Data 0.001 (0.003)	Loss 2.2261 (2.5302)	Prec@1 45.000 (38.068)	Prec@5 73.500 (69.005)
Epoch: [26][940/9018]	Time 0.609 (0.618)	Data 0.001 (0.003)	Loss 2.3888 (2.5310)	Prec@1 41.000 (38.073)	Prec@5 74.000 (68.994)
Epoch: [26][950/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 2.8074 (2.5317)	Prec@1 33.500 (38.061)	Prec@5 63.500 (68.972)
Epoch: [26][960/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 2.4650 (2.5317)	Prec@1 38.500 (38.058)	Prec@5 68.500 (68.977)
Epoch: [26][970/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.6353 (2.5308)	Prec@1 41.500 (38.081)	Prec@5 67.500 (68.995)
Epoch: [26][980/9018]	Time 0.625 (0.618)	Data 0.001 (0.003)	Loss 2.4246 (2.5308)	Prec@1 41.500 (38.086)	Prec@5 70.000 (68.983)
Epoch: [26][990/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.6505 (2.5313)	Prec@1 37.000 (38.065)	Prec@5 67.500 (68.977)
Epoch: [26][1000/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.4705 (2.5305)	Prec@1 34.500 (38.066)	Prec@5 70.500 (68.993)
Epoch: [26][1010/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.5801 (2.5305)	Prec@1 39.500 (38.067)	Prec@5 69.000 (68.994)
Epoch: [26][1020/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.8442 (2.5305)	Prec@1 33.500 (38.072)	Prec@5 62.000 (68.997)
Epoch: [26][1030/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.7486 (2.5314)	Prec@1 34.500 (38.058)	Prec@5 66.500 (68.979)
Epoch: [26][1040/9018]	Time 0.721 (0.617)	Data 0.001 (0.003)	Loss 2.4499 (2.5318)	Prec@1 40.500 (38.068)	Prec@5 71.000 (68.978)
Epoch: [26][1050/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 2.4476 (2.5309)	Prec@1 39.500 (38.072)	Prec@5 67.500 (68.996)
Epoch: [26][1060/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.9032 (2.5313)	Prec@1 31.500 (38.067)	Prec@5 61.500 (68.981)
Epoch: [26][1070/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.5819 (2.5314)	Prec@1 39.000 (38.059)	Prec@5 69.500 (68.988)
Epoch: [26][1080/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 2.6782 (2.5310)	Prec@1 38.500 (38.072)	Prec@5 66.000 (68.999)
Epoch: [26][1090/9018]	Time 0.729 (0.617)	Data 0.001 (0.003)	Loss 2.6411 (2.5308)	Prec@1 37.000 (38.068)	Prec@5 67.000 (69.004)
Epoch: [26][1100/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.5776 (2.5308)	Prec@1 37.000 (38.072)	Prec@5 68.500 (69.003)
Epoch: [26][1110/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 2.4573 (2.5307)	Prec@1 38.000 (38.062)	Prec@5 69.000 (68.997)
Epoch: [26][1120/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.3647 (2.5314)	Prec@1 41.000 (38.046)	Prec@5 70.500 (68.981)
Epoch: [26][1130/9018]	Time 0.635 (0.617)	Data 0.001 (0.003)	Loss 2.5703 (2.5318)	Prec@1 41.500 (38.046)	Prec@5 68.000 (68.971)
Epoch: [26][1140/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.4484 (2.5322)	Prec@1 36.000 (38.037)	Prec@5 67.500 (68.954)
Epoch: [26][1150/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 2.4291 (2.5327)	Prec@1 38.500 (38.028)	Prec@5 68.500 (68.942)
Epoch: [26][1160/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.6295 (2.5330)	Prec@1 34.500 (38.015)	Prec@5 65.000 (68.934)
Epoch: [26][1170/9018]	Time 0.628 (0.617)	Data 0.001 (0.003)	Loss 2.5502 (2.5338)	Prec@1 37.500 (38.005)	Prec@5 70.500 (68.930)
Epoch: [26][1180/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.6726 (2.5337)	Prec@1 38.500 (38.014)	Prec@5 66.000 (68.934)
Epoch: [26][1190/9018]	Time 0.626 (0.617)	Data 0.001 (0.003)	Loss 2.5332 (2.5339)	Prec@1 40.500 (38.007)	Prec@5 67.500 (68.925)
Epoch: [26][1200/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.5968 (2.5343)	Prec@1 39.500 (38.006)	Prec@5 65.500 (68.918)
Epoch: [26][1210/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.3178 (2.5345)	Prec@1 44.000 (38.002)	Prec@5 72.500 (68.915)
Epoch: [26][1220/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.4470 (2.5346)	Prec@1 37.500 (38.004)	Prec@5 69.000 (68.914)
Epoch: [26][1230/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.4629 (2.5351)	Prec@1 39.500 (37.993)	Prec@5 74.500 (68.910)
Epoch: [26][1240/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.4428 (2.5351)	Prec@1 36.000 (37.991)	Prec@5 71.500 (68.914)
Epoch: [26][1250/9018]	Time 0.621 (0.617)	Data 0.001 (0.002)	Loss 2.4935 (2.5351)	Prec@1 37.000 (37.998)	Prec@5 70.000 (68.912)
Epoch: [26][1260/9018]	Time 0.633 (0.617)	Data 0.001 (0.002)	Loss 2.4005 (2.5349)	Prec@1 39.500 (38.005)	Prec@5 73.000 (68.933)
Epoch: [26][1270/9018]	Time 0.632 (0.617)	Data 0.001 (0.002)	Loss 2.6450 (2.5348)	Prec@1 33.500 (38.000)	Prec@5 67.500 (68.933)
Epoch: [26][1280/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.3349 (2.5347)	Prec@1 48.500 (38.018)	Prec@5 73.500 (68.934)
Epoch: [26][1290/9018]	Time 0.633 (0.617)	Data 0.001 (0.002)	Loss 2.6408 (2.5344)	Prec@1 39.000 (38.026)	Prec@5 67.000 (68.938)
Epoch: [26][1300/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.5397 (2.5343)	Prec@1 42.500 (38.025)	Prec@5 67.500 (68.933)
Epoch: [26][1310/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.5572 (2.5342)	Prec@1 36.000 (38.029)	Prec@5 67.000 (68.932)
Epoch: [26][1320/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.7742 (2.5341)	Prec@1 33.500 (38.021)	Prec@5 62.500 (68.923)
Epoch: [26][1330/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.5814 (2.5346)	Prec@1 42.500 (38.019)	Prec@5 67.000 (68.909)
Epoch: [26][1340/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.5613 (2.5347)	Prec@1 38.000 (38.023)	Prec@5 68.500 (68.912)
Epoch: [26][1350/9018]	Time 0.622 (0.617)	Data 0.001 (0.002)	Loss 2.5464 (2.5343)	Prec@1 33.500 (38.027)	Prec@5 68.500 (68.917)
Epoch: [26][1360/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.6607 (2.5349)	Prec@1 37.500 (38.016)	Prec@5 65.500 (68.906)
Epoch: [26][1370/9018]	Time 0.710 (0.617)	Data 0.001 (0.002)	Loss 2.6682 (2.5351)	Prec@1 35.500 (38.009)	Prec@5 63.000 (68.892)
Epoch: [26][1380/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.5526 (2.5345)	Prec@1 37.500 (38.024)	Prec@5 69.000 (68.907)
Epoch: [26][1390/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.5253 (2.5343)	Prec@1 36.000 (38.026)	Prec@5 65.000 (68.910)
Epoch: [26][1400/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.4860 (2.5345)	Prec@1 41.500 (38.019)	Prec@5 70.500 (68.910)
Epoch: [26][1410/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.5229 (2.5349)	Prec@1 33.000 (38.005)	Prec@5 68.500 (68.909)
Epoch: [26][1420/9018]	Time 0.743 (0.617)	Data 0.001 (0.002)	Loss 2.4339 (2.5351)	Prec@1 40.500 (37.987)	Prec@5 73.500 (68.918)
Epoch: [26][1430/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.6173 (2.5352)	Prec@1 36.000 (37.983)	Prec@5 61.500 (68.911)
Epoch: [26][1440/9018]	Time 0.622 (0.617)	Data 0.001 (0.002)	Loss 2.3736 (2.5354)	Prec@1 43.000 (37.978)	Prec@5 73.500 (68.909)
Epoch: [26][1450/9018]	Time 0.613 (0.617)	Data 0.001 (0.002)	Loss 2.5639 (2.5354)	Prec@1 35.500 (37.970)	Prec@5 69.000 (68.912)
Epoch: [26][1460/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.5180 (2.5353)	Prec@1 38.000 (37.966)	Prec@5 71.000 (68.914)
Epoch: [26][1470/9018]	Time 0.619 (0.617)	Data 0.001 (0.002)	Loss 2.4870 (2.5354)	Prec@1 34.500 (37.968)	Prec@5 66.000 (68.908)
Epoch: [26][1480/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.6487 (2.5354)	Prec@1 37.500 (37.965)	Prec@5 72.000 (68.911)
Epoch: [26][1490/9018]	Time 0.626 (0.617)	Data 0.001 (0.002)	Loss 2.5054 (2.5352)	Prec@1 37.000 (37.970)	Prec@5 69.000 (68.917)
Epoch: [26][1500/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.5004 (2.5356)	Prec@1 35.000 (37.959)	Prec@5 66.000 (68.904)
Epoch: [26][1510/9018]	Time 0.620 (0.617)	Data 0.001 (0.002)	Loss 2.7368 (2.5357)	Prec@1 35.500 (37.954)	Prec@5 64.000 (68.899)
Epoch: [26][1520/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.3188 (2.5353)	Prec@1 42.000 (37.964)	Prec@5 75.500 (68.904)
Epoch: [26][1530/9018]	Time 0.609 (0.617)	Data 0.001 (0.002)	Loss 2.6469 (2.5348)	Prec@1 35.000 (37.967)	Prec@5 65.000 (68.908)
Epoch: [26][1540/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.6598 (2.5351)	Prec@1 36.000 (37.968)	Prec@5 68.000 (68.911)
Epoch: [26][1550/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5690 (2.5351)	Prec@1 37.000 (37.972)	Prec@5 67.000 (68.909)
Epoch: [26][1560/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.9028 (2.5350)	Prec@1 31.000 (37.980)	Prec@5 59.500 (68.911)
Epoch: [26][1570/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5418 (2.5349)	Prec@1 36.500 (37.979)	Prec@5 67.000 (68.914)
Epoch: [26][1580/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.4780 (2.5347)	Prec@1 41.500 (37.985)	Prec@5 68.500 (68.916)
Epoch: [26][1590/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.7036 (2.5349)	Prec@1 34.000 (37.983)	Prec@5 64.000 (68.910)
Epoch: [26][1600/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5088 (2.5351)	Prec@1 35.000 (37.977)	Prec@5 70.500 (68.911)
Epoch: [26][1610/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.4061 (2.5351)	Prec@1 39.500 (37.974)	Prec@5 75.000 (68.914)
Epoch: [26][1620/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4661 (2.5352)	Prec@1 34.000 (37.964)	Prec@5 72.000 (68.912)
Epoch: [26][1630/9018]	Time 0.639 (0.616)	Data 0.001 (0.002)	Loss 2.6402 (2.5352)	Prec@1 36.500 (37.968)	Prec@5 64.500 (68.912)
Epoch: [26][1640/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.3484 (2.5351)	Prec@1 41.000 (37.973)	Prec@5 73.000 (68.922)
Epoch: [26][1650/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5948 (2.5349)	Prec@1 38.500 (37.973)	Prec@5 70.500 (68.929)
Epoch: [26][1660/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.6462 (2.5352)	Prec@1 33.500 (37.966)	Prec@5 69.000 (68.927)
Epoch: [26][1670/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.6356 (2.5355)	Prec@1 35.500 (37.961)	Prec@5 65.000 (68.918)
Epoch: [26][1680/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.6907 (2.5357)	Prec@1 35.500 (37.953)	Prec@5 63.000 (68.910)
Epoch: [26][1690/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5694 (2.5357)	Prec@1 34.000 (37.950)	Prec@5 65.500 (68.911)
Epoch: [26][1700/9018]	Time 0.755 (0.616)	Data 0.001 (0.002)	Loss 2.6130 (2.5357)	Prec@1 33.000 (37.945)	Prec@5 71.000 (68.909)
Epoch: [26][1710/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6580 (2.5362)	Prec@1 35.500 (37.941)	Prec@5 65.000 (68.900)
Epoch: [26][1720/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.6126 (2.5362)	Prec@1 29.500 (37.942)	Prec@5 65.000 (68.895)
Epoch: [26][1730/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5114 (2.5363)	Prec@1 35.500 (37.935)	Prec@5 68.500 (68.893)
Epoch: [26][1740/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.7559 (2.5366)	Prec@1 31.500 (37.923)	Prec@5 65.000 (68.887)
Epoch: [26][1750/9018]	Time 0.742 (0.616)	Data 0.001 (0.002)	Loss 2.6453 (2.5369)	Prec@1 39.000 (37.919)	Prec@5 69.000 (68.886)
Epoch: [26][1760/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5424 (2.5367)	Prec@1 36.000 (37.924)	Prec@5 69.500 (68.890)
Epoch: [26][1770/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.4605 (2.5372)	Prec@1 37.500 (37.917)	Prec@5 71.000 (68.879)
Epoch: [26][1780/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.3986 (2.5370)	Prec@1 37.500 (37.917)	Prec@5 71.000 (68.884)
Epoch: [26][1790/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.5095 (2.5369)	Prec@1 37.500 (37.913)	Prec@5 69.000 (68.886)
Epoch: [26][1800/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6012 (2.5372)	Prec@1 41.000 (37.910)	Prec@5 70.500 (68.881)
Epoch: [26][1810/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.5163 (2.5371)	Prec@1 37.000 (37.911)	Prec@5 64.000 (68.882)
Epoch: [26][1820/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6527 (2.5371)	Prec@1 35.000 (37.910)	Prec@5 63.500 (68.884)
Epoch: [26][1830/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.2963 (2.5371)	Prec@1 37.500 (37.904)	Prec@5 72.500 (68.881)
Epoch: [26][1840/9018]	Time 0.642 (0.616)	Data 0.001 (0.002)	Loss 2.5552 (2.5370)	Prec@1 35.500 (37.903)	Prec@5 67.500 (68.885)
Epoch: [26][1850/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.3717 (2.5369)	Prec@1 38.000 (37.909)	Prec@5 70.500 (68.888)
Epoch: [26][1860/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.5411 (2.5367)	Prec@1 39.000 (37.908)	Prec@5 70.000 (68.889)
Epoch: [26][1870/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.4380 (2.5367)	Prec@1 47.000 (37.918)	Prec@5 69.500 (68.885)
Epoch: [26][1880/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.4874 (2.5368)	Prec@1 38.000 (37.919)	Prec@5 68.000 (68.879)
Epoch: [26][1890/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.8037 (2.5368)	Prec@1 28.500 (37.918)	Prec@5 67.500 (68.879)
Epoch: [26][1900/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6678 (2.5366)	Prec@1 32.000 (37.922)	Prec@5 67.500 (68.881)
Epoch: [26][1910/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8189 (2.5371)	Prec@1 36.000 (37.916)	Prec@5 65.500 (68.871)
Epoch: [26][1920/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.6597 (2.5373)	Prec@1 38.000 (37.908)	Prec@5 64.000 (68.864)
Epoch: [26][1930/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5504 (2.5375)	Prec@1 41.500 (37.903)	Prec@5 68.000 (68.859)
Epoch: [26][1940/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.4460 (2.5377)	Prec@1 40.000 (37.898)	Prec@5 73.000 (68.852)
Epoch: [26][1950/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.7405 (2.5382)	Prec@1 31.500 (37.884)	Prec@5 69.000 (68.844)
Epoch: [26][1960/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6679 (2.5379)	Prec@1 36.500 (37.889)	Prec@5 63.500 (68.848)
Epoch: [26][1970/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6552 (2.5380)	Prec@1 39.500 (37.891)	Prec@5 67.500 (68.850)
Epoch: [26][1980/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.7172 (2.5379)	Prec@1 32.500 (37.887)	Prec@5 63.500 (68.851)
Epoch: [26][1990/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6436 (2.5382)	Prec@1 38.000 (37.877)	Prec@5 67.500 (68.850)
Epoch: [26][2000/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6443 (2.5385)	Prec@1 40.000 (37.873)	Prec@5 65.000 (68.844)
Epoch: [26][2010/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.7007 (2.5384)	Prec@1 34.000 (37.874)	Prec@5 64.500 (68.839)
Epoch: [26][2020/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.6102 (2.5388)	Prec@1 36.000 (37.861)	Prec@5 69.000 (68.830)
Epoch: [26][2030/9018]	Time 0.752 (0.616)	Data 0.001 (0.002)	Loss 2.4054 (2.5386)	Prec@1 39.000 (37.862)	Prec@5 72.000 (68.833)
Epoch: [26][2040/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.4799 (2.5384)	Prec@1 40.500 (37.867)	Prec@5 63.500 (68.836)
Epoch: [26][2050/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5274 (2.5383)	Prec@1 40.000 (37.866)	Prec@5 68.000 (68.834)
Epoch: [26][2060/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4074 (2.5381)	Prec@1 35.500 (37.869)	Prec@5 70.000 (68.834)
Epoch: [26][2070/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5508 (2.5383)	Prec@1 40.000 (37.866)	Prec@5 69.000 (68.833)
Epoch: [26][2080/9018]	Time 0.740 (0.616)	Data 0.001 (0.002)	Loss 2.5472 (2.5387)	Prec@1 38.000 (37.862)	Prec@5 67.000 (68.828)
Epoch: [26][2090/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6437 (2.5383)	Prec@1 36.000 (37.877)	Prec@5 68.000 (68.835)
Epoch: [26][2100/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4334 (2.5385)	Prec@1 41.000 (37.876)	Prec@5 72.500 (68.829)
Epoch: [26][2110/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.3157 (2.5384)	Prec@1 42.000 (37.874)	Prec@5 73.000 (68.829)
Epoch: [26][2120/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.3748 (2.5382)	Prec@1 43.500 (37.879)	Prec@5 74.000 (68.831)
Epoch: [26][2130/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.6342 (2.5384)	Prec@1 33.500 (37.873)	Prec@5 65.500 (68.824)
Epoch: [26][2140/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.3364 (2.5385)	Prec@1 43.000 (37.870)	Prec@5 72.000 (68.820)
Epoch: [26][2150/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.3623 (2.5385)	Prec@1 42.000 (37.864)	Prec@5 72.000 (68.818)
Epoch: [26][2160/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.4336 (2.5382)	Prec@1 40.500 (37.871)	Prec@5 71.500 (68.819)
Epoch: [26][2170/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4921 (2.5381)	Prec@1 36.000 (37.871)	Prec@5 69.500 (68.819)
Epoch: [26][2180/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4892 (2.5381)	Prec@1 38.000 (37.870)	Prec@5 70.500 (68.823)
Epoch: [26][2190/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6523 (2.5383)	Prec@1 37.500 (37.865)	Prec@5 63.500 (68.813)
Epoch: [26][2200/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6286 (2.5382)	Prec@1 37.500 (37.863)	Prec@5 66.000 (68.815)
Epoch: [26][2210/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.6330 (2.5382)	Prec@1 35.500 (37.864)	Prec@5 67.500 (68.818)
Epoch: [26][2220/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3697 (2.5381)	Prec@1 41.000 (37.862)	Prec@5 72.000 (68.819)
Epoch: [26][2230/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.5582 (2.5380)	Prec@1 40.000 (37.866)	Prec@5 67.000 (68.818)
Epoch: [26][2240/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.4009 (2.5379)	Prec@1 35.500 (37.864)	Prec@5 70.000 (68.822)
Epoch: [26][2250/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6142 (2.5377)	Prec@1 38.000 (37.867)	Prec@5 66.000 (68.823)
Epoch: [26][2260/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4581 (2.5381)	Prec@1 41.500 (37.862)	Prec@5 70.000 (68.822)
Epoch: [26][2270/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4258 (2.5381)	Prec@1 42.000 (37.858)	Prec@5 71.000 (68.823)
Epoch: [26][2280/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.7656 (2.5384)	Prec@1 32.500 (37.855)	Prec@5 64.000 (68.815)
Epoch: [26][2290/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6411 (2.5386)	Prec@1 37.500 (37.851)	Prec@5 66.500 (68.814)
Epoch: [26][2300/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.5650 (2.5385)	Prec@1 37.500 (37.852)	Prec@5 63.500 (68.814)
Epoch: [26][2310/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.3528 (2.5379)	Prec@1 39.500 (37.863)	Prec@5 75.500 (68.823)
Epoch: [26][2320/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.2989 (2.5378)	Prec@1 41.500 (37.863)	Prec@5 74.500 (68.825)
Epoch: [26][2330/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.3965 (2.5379)	Prec@1 40.000 (37.866)	Prec@5 71.500 (68.826)
Epoch: [26][2340/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.8615 (2.5378)	Prec@1 32.500 (37.868)	Prec@5 60.500 (68.828)
Epoch: [26][2350/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.2955 (2.5377)	Prec@1 44.500 (37.865)	Prec@5 70.500 (68.831)
Epoch: [26][2360/9018]	Time 0.749 (0.616)	Data 0.001 (0.002)	Loss 2.3457 (2.5378)	Prec@1 43.500 (37.860)	Prec@5 71.500 (68.831)
Epoch: [26][2370/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4941 (2.5375)	Prec@1 41.000 (37.871)	Prec@5 68.500 (68.842)
Epoch: [26][2380/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.1796 (2.5372)	Prec@1 40.500 (37.871)	Prec@5 74.000 (68.843)
Epoch: [26][2390/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.5275 (2.5374)	Prec@1 36.500 (37.867)	Prec@5 68.000 (68.838)
Epoch: [26][2400/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4135 (2.5377)	Prec@1 38.500 (37.860)	Prec@5 74.500 (68.832)
Epoch: [26][2410/9018]	Time 0.742 (0.616)	Data 0.001 (0.002)	Loss 2.3035 (2.5380)	Prec@1 45.000 (37.854)	Prec@5 71.000 (68.828)
Epoch: [26][2420/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5186 (2.5380)	Prec@1 40.000 (37.857)	Prec@5 70.500 (68.827)
Epoch: [26][2430/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4088 (2.5379)	Prec@1 41.500 (37.858)	Prec@5 71.500 (68.826)
Epoch: [26][2440/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4422 (2.5379)	Prec@1 41.500 (37.854)	Prec@5 69.500 (68.825)
Epoch: [26][2450/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5365 (2.5377)	Prec@1 42.500 (37.855)	Prec@5 69.500 (68.829)
Epoch: [26][2460/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.6031 (2.5377)	Prec@1 35.000 (37.856)	Prec@5 69.500 (68.831)
Epoch: [26][2470/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5946 (2.5375)	Prec@1 38.500 (37.860)	Prec@5 66.000 (68.833)
Epoch: [26][2480/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5608 (2.5371)	Prec@1 39.000 (37.866)	Prec@5 67.500 (68.836)
Epoch: [26][2490/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5742 (2.5371)	Prec@1 38.500 (37.866)	Prec@5 64.500 (68.833)
Epoch: [26][2500/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5447 (2.5373)	Prec@1 37.500 (37.867)	Prec@5 71.500 (68.830)
Epoch: [26][2510/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6941 (2.5379)	Prec@1 33.500 (37.858)	Prec@5 69.000 (68.821)
Epoch: [26][2520/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.2918 (2.5379)	Prec@1 44.500 (37.864)	Prec@5 75.500 (68.821)
Epoch: [26][2530/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.5958 (2.5380)	Prec@1 40.500 (37.863)	Prec@5 64.500 (68.821)
Epoch: [26][2540/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6340 (2.5378)	Prec@1 37.000 (37.871)	Prec@5 69.000 (68.829)
Epoch: [26][2550/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6081 (2.5380)	Prec@1 38.500 (37.867)	Prec@5 69.000 (68.823)
Epoch: [26][2560/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.3809 (2.5380)	Prec@1 40.500 (37.869)	Prec@5 71.000 (68.826)
Epoch: [26][2570/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.4713 (2.5381)	Prec@1 42.000 (37.865)	Prec@5 68.000 (68.818)
Epoch: [26][2580/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.3198 (2.5383)	Prec@1 43.500 (37.858)	Prec@5 71.000 (68.814)
Epoch: [26][2590/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6448 (2.5383)	Prec@1 38.500 (37.854)	Prec@5 70.000 (68.816)
Epoch: [26][2600/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.3862 (2.5381)	Prec@1 43.500 (37.857)	Prec@5 68.500 (68.822)
Epoch: [26][2610/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.4449 (2.5381)	Prec@1 43.500 (37.860)	Prec@5 68.000 (68.820)
Epoch: [26][2620/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5210 (2.5380)	Prec@1 37.000 (37.862)	Prec@5 70.500 (68.819)
Epoch: [26][2630/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.5312 (2.5380)	Prec@1 38.000 (37.862)	Prec@5 67.500 (68.818)
Epoch: [26][2640/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5767 (2.5383)	Prec@1 41.000 (37.859)	Prec@5 65.500 (68.816)
Epoch: [26][2650/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6941 (2.5384)	Prec@1 34.000 (37.856)	Prec@5 64.500 (68.813)
Epoch: [26][2660/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.4538 (2.5381)	Prec@1 36.500 (37.859)	Prec@5 72.000 (68.822)
Epoch: [26][2670/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.6576 (2.5381)	Prec@1 34.500 (37.862)	Prec@5 65.000 (68.823)
Epoch: [26][2680/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5410 (2.5382)	Prec@1 35.500 (37.859)	Prec@5 65.500 (68.817)
Epoch: [26][2690/9018]	Time 0.730 (0.616)	Data 0.001 (0.002)	Loss 2.7571 (2.5381)	Prec@1 35.000 (37.862)	Prec@5 63.000 (68.814)
Epoch: [26][2700/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.5749 (2.5380)	Prec@1 38.000 (37.868)	Prec@5 68.000 (68.816)
Epoch: [26][2710/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.7320 (2.5382)	Prec@1 35.000 (37.871)	Prec@5 69.000 (68.816)
Epoch: [26][2720/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.6955 (2.5384)	Prec@1 35.000 (37.864)	Prec@5 64.500 (68.812)
Epoch: [26][2730/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4426 (2.5384)	Prec@1 41.000 (37.864)	Prec@5 73.500 (68.811)
Epoch: [26][2740/9018]	Time 0.720 (0.616)	Data 0.001 (0.002)	Loss 2.6734 (2.5385)	Prec@1 37.500 (37.860)	Prec@5 64.500 (68.809)
Epoch: [26][2750/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5268 (2.5384)	Prec@1 42.000 (37.865)	Prec@5 67.000 (68.809)
Epoch: [26][2760/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4296 (2.5384)	Prec@1 41.500 (37.868)	Prec@5 69.000 (68.813)
Epoch: [26][2770/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.4717 (2.5382)	Prec@1 39.500 (37.872)	Prec@5 71.500 (68.816)
Epoch: [26][2780/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4708 (2.5382)	Prec@1 37.000 (37.869)	Prec@5 71.000 (68.812)
Epoch: [26][2790/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5972 (2.5382)	Prec@1 33.000 (37.864)	Prec@5 65.000 (68.812)
Epoch: [26][2800/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.7073 (2.5382)	Prec@1 32.500 (37.866)	Prec@5 66.000 (68.813)
Epoch: [26][2810/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5666 (2.5381)	Prec@1 37.500 (37.865)	Prec@5 70.500 (68.819)
Epoch: [26][2820/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.4601 (2.5381)	Prec@1 43.000 (37.861)	Prec@5 72.000 (68.819)
Epoch: [26][2830/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.7145 (2.5382)	Prec@1 35.500 (37.858)	Prec@5 64.000 (68.820)
Epoch: [26][2840/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.3336 (2.5382)	Prec@1 44.500 (37.859)	Prec@5 73.500 (68.818)
Epoch: [26][2850/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4674 (2.5382)	Prec@1 36.500 (37.862)	Prec@5 68.000 (68.817)
Epoch: [26][2860/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5187 (2.5381)	Prec@1 38.500 (37.861)	Prec@5 64.500 (68.818)
Epoch: [26][2870/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.5839 (2.5382)	Prec@1 36.000 (37.864)	Prec@5 68.000 (68.816)
Epoch: [26][2880/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6962 (2.5381)	Prec@1 36.000 (37.866)	Prec@5 63.000 (68.816)
Epoch: [26][2890/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.4846 (2.5381)	Prec@1 38.500 (37.869)	Prec@5 69.500 (68.816)
Epoch: [26][2900/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.5698 (2.5381)	Prec@1 41.500 (37.870)	Prec@5 70.500 (68.818)
Epoch: [26][2910/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.6064 (2.5383)	Prec@1 39.500 (37.865)	Prec@5 66.000 (68.811)
Epoch: [26][2920/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5679 (2.5384)	Prec@1 38.500 (37.863)	Prec@5 66.000 (68.804)
Epoch: [26][2930/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.3595 (2.5384)	Prec@1 45.500 (37.863)	Prec@5 71.500 (68.799)
Epoch: [26][2940/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.6291 (2.5384)	Prec@1 35.000 (37.865)	Prec@5 64.000 (68.798)
Epoch: [26][2950/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.4858 (2.5382)	Prec@1 36.000 (37.864)	Prec@5 72.500 (68.802)
Epoch: [26][2960/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5253 (2.5382)	Prec@1 38.000 (37.865)	Prec@5 72.000 (68.805)
Epoch: [26][2970/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.8036 (2.5385)	Prec@1 32.000 (37.862)	Prec@5 64.500 (68.798)
Epoch: [26][2980/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6393 (2.5384)	Prec@1 34.500 (37.858)	Prec@5 65.500 (68.801)
Epoch: [26][2990/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.5344 (2.5383)	Prec@1 36.000 (37.860)	Prec@5 71.000 (68.801)
Epoch: [26][3000/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.8093 (2.5386)	Prec@1 35.500 (37.857)	Prec@5 63.500 (68.798)
Epoch: [26][3010/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.3143 (2.5385)	Prec@1 41.500 (37.858)	Prec@5 76.000 (68.799)
Epoch: [26][3020/9018]	Time 0.721 (0.616)	Data 0.001 (0.001)	Loss 2.7725 (2.5385)	Prec@1 33.500 (37.862)	Prec@5 57.500 (68.796)
Epoch: [26][3030/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6858 (2.5386)	Prec@1 30.000 (37.855)	Prec@5 66.000 (68.794)
Epoch: [26][3040/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.6115 (2.5388)	Prec@1 37.500 (37.852)	Prec@5 67.000 (68.790)
Epoch: [26][3050/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.5107 (2.5387)	Prec@1 34.500 (37.854)	Prec@5 70.500 (68.789)
Epoch: [26][3060/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.4961 (2.5387)	Prec@1 39.500 (37.857)	Prec@5 75.000 (68.790)
Epoch: [26][3070/9018]	Time 0.743 (0.616)	Data 0.001 (0.001)	Loss 2.4483 (2.5387)	Prec@1 40.500 (37.853)	Prec@5 66.500 (68.787)
Epoch: [26][3080/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.6251 (2.5388)	Prec@1 35.000 (37.849)	Prec@5 63.000 (68.784)
Epoch: [26][3090/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.7761 (2.5388)	Prec@1 35.000 (37.848)	Prec@5 62.500 (68.787)
Epoch: [26][3100/9018]	Time 0.636 (0.616)	Data 0.001 (0.001)	Loss 2.5711 (2.5387)	Prec@1 39.500 (37.853)	Prec@5 66.500 (68.784)
Epoch: [26][3110/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.7109 (2.5385)	Prec@1 31.000 (37.856)	Prec@5 66.500 (68.787)
Epoch: [26][3120/9018]	Time 0.598 (0.616)	Data 0.003 (0.001)	Loss 2.6725 (2.5384)	Prec@1 36.000 (37.853)	Prec@5 68.000 (68.789)
Epoch: [26][3130/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.5947 (2.5385)	Prec@1 34.500 (37.852)	Prec@5 65.000 (68.789)
Epoch: [26][3140/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.4137 (2.5385)	Prec@1 41.000 (37.855)	Prec@5 70.500 (68.790)
Epoch: [26][3150/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.5771 (2.5385)	Prec@1 36.000 (37.856)	Prec@5 69.500 (68.792)
Epoch: [26][3160/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.4420 (2.5385)	Prec@1 42.000 (37.855)	Prec@5 70.000 (68.790)
Epoch: [26][3170/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.4999 (2.5384)	Prec@1 33.500 (37.859)	Prec@5 69.500 (68.792)
Epoch: [26][3180/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.4920 (2.5386)	Prec@1 36.000 (37.852)	Prec@5 72.500 (68.785)
Epoch: [26][3190/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.5060 (2.5386)	Prec@1 40.000 (37.853)	Prec@5 70.500 (68.784)
Epoch: [26][3200/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.6886 (2.5385)	Prec@1 37.500 (37.855)	Prec@5 68.000 (68.789)
Epoch: [26][3210/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.4861 (2.5384)	Prec@1 38.500 (37.853)	Prec@5 72.000 (68.793)
Epoch: [26][3220/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6646 (2.5384)	Prec@1 39.500 (37.854)	Prec@5 66.500 (68.795)
Epoch: [26][3230/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.6023 (2.5385)	Prec@1 33.000 (37.852)	Prec@5 70.000 (68.793)
Epoch: [26][3240/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.5144 (2.5385)	Prec@1 38.000 (37.855)	Prec@5 69.500 (68.794)
Epoch: [26][3250/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.5208 (2.5385)	Prec@1 39.500 (37.853)	Prec@5 71.000 (68.794)
Epoch: [26][3260/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.6422 (2.5384)	Prec@1 38.000 (37.858)	Prec@5 68.000 (68.794)
Epoch: [26][3270/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.4573 (2.5386)	Prec@1 35.000 (37.854)	Prec@5 71.500 (68.790)
Epoch: [26][3280/9018]	Time 0.647 (0.616)	Data 0.001 (0.001)	Loss 2.5295 (2.5388)	Prec@1 39.500 (37.852)	Prec@5 70.500 (68.788)
Epoch: [26][3290/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.5266 (2.5388)	Prec@1 36.000 (37.850)	Prec@5 70.000 (68.788)
Epoch: [26][3300/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.4469 (2.5389)	Prec@1 38.500 (37.849)	Prec@5 67.000 (68.782)
Epoch: [26][3310/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.7219 (2.5388)	Prec@1 33.000 (37.851)	Prec@5 64.500 (68.786)
Epoch: [26][3320/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.6155 (2.5389)	Prec@1 35.500 (37.854)	Prec@5 70.000 (68.784)
Epoch: [26][3330/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.5624 (2.5387)	Prec@1 33.500 (37.857)	Prec@5 65.000 (68.787)
Epoch: [26][3340/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.4318 (2.5387)	Prec@1 39.500 (37.855)	Prec@5 69.500 (68.782)
Epoch: [26][3350/9018]	Time 0.696 (0.616)	Data 0.001 (0.001)	Loss 2.4090 (2.5389)	Prec@1 42.000 (37.855)	Prec@5 73.500 (68.780)
Epoch: [26][3360/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.6915 (2.5392)	Prec@1 34.000 (37.848)	Prec@5 64.000 (68.775)
Epoch: [26][3370/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.6346 (2.5393)	Prec@1 34.500 (37.845)	Prec@5 66.500 (68.771)
Epoch: [26][3380/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.6299 (2.5394)	Prec@1 32.500 (37.842)	Prec@5 67.500 (68.771)
Epoch: [26][3390/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.5693 (2.5395)	Prec@1 37.000 (37.838)	Prec@5 63.500 (68.771)
Epoch: [26][3400/9018]	Time 0.738 (0.616)	Data 0.001 (0.001)	Loss 2.4480 (2.5394)	Prec@1 46.000 (37.841)	Prec@5 71.000 (68.773)
Epoch: [26][3410/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.6307 (2.5395)	Prec@1 39.500 (37.842)	Prec@5 68.000 (68.771)
Epoch: [26][3420/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.6565 (2.5397)	Prec@1 35.500 (37.845)	Prec@5 66.000 (68.768)
Epoch: [26][3430/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.6446 (2.5398)	Prec@1 37.500 (37.846)	Prec@5 67.500 (68.764)
Epoch: [26][3440/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.6438 (2.5399)	Prec@1 33.500 (37.846)	Prec@5 66.500 (68.761)
Epoch: [26][3450/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.7355 (2.5399)	Prec@1 33.500 (37.846)	Prec@5 61.500 (68.762)
Epoch: [26][3460/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.7037 (2.5399)	Prec@1 33.000 (37.845)	Prec@5 63.500 (68.758)
Epoch: [26][3470/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.6630 (2.5400)	Prec@1 33.500 (37.848)	Prec@5 66.500 (68.755)
Epoch: [26][3480/9018]	Time 0.610 (0.616)	Data 0.003 (0.001)	Loss 2.4023 (2.5401)	Prec@1 41.000 (37.844)	Prec@5 73.500 (68.754)
Epoch: [26][3490/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.6499 (2.5399)	Prec@1 34.500 (37.846)	Prec@5 69.000 (68.757)
Epoch: [26][3500/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.5173 (2.5401)	Prec@1 35.500 (37.842)	Prec@5 69.000 (68.754)
Epoch: [26][3510/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.6430 (2.5400)	Prec@1 36.500 (37.844)	Prec@5 66.500 (68.758)
Epoch: [26][3520/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.5785 (2.5401)	Prec@1 39.500 (37.844)	Prec@5 66.500 (68.755)
Epoch: [26][3530/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.6881 (2.5402)	Prec@1 33.000 (37.844)	Prec@5 65.000 (68.752)
Epoch: [26][3540/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.5516 (2.5403)	Prec@1 36.000 (37.844)	Prec@5 71.500 (68.752)
Epoch: [26][3550/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.5302 (2.5405)	Prec@1 36.000 (37.838)	Prec@5 68.500 (68.748)
Epoch: [26][3560/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.7006 (2.5406)	Prec@1 33.500 (37.833)	Prec@5 63.500 (68.748)
Epoch: [26][3570/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.6914 (2.5406)	Prec@1 36.000 (37.833)	Prec@5 63.500 (68.749)
Epoch: [26][3580/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.6509 (2.5405)	Prec@1 39.000 (37.836)	Prec@5 63.000 (68.754)
Epoch: [26][3590/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.5379 (2.5405)	Prec@1 35.000 (37.837)	Prec@5 70.000 (68.753)
Epoch: [26][3600/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.4552 (2.5407)	Prec@1 42.000 (37.833)	Prec@5 72.000 (68.751)
Epoch: [26][3610/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.3930 (2.5406)	Prec@1 40.000 (37.834)	Prec@5 74.000 (68.753)
Epoch: [26][3620/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.5867 (2.5408)	Prec@1 37.000 (37.833)	Prec@5 68.000 (68.748)
Epoch: [26][3630/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2053 (2.5406)	Prec@1 47.000 (37.837)	Prec@5 74.000 (68.754)
Epoch: [26][3640/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.4526 (2.5404)	Prec@1 41.500 (37.840)	Prec@5 69.500 (68.758)
Epoch: [26][3650/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.3510 (2.5402)	Prec@1 38.500 (37.840)	Prec@5 71.500 (68.765)
Epoch: [26][3660/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3163 (2.5400)	Prec@1 41.000 (37.842)	Prec@5 73.000 (68.770)
Epoch: [26][3670/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5583 (2.5401)	Prec@1 37.500 (37.838)	Prec@5 67.000 (68.768)
Epoch: [26][3680/9018]	Time 0.734 (0.616)	Data 0.001 (0.001)	Loss 2.5957 (2.5402)	Prec@1 37.500 (37.832)	Prec@5 67.000 (68.768)
Epoch: [26][3690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2326 (2.5400)	Prec@1 45.000 (37.834)	Prec@5 74.500 (68.773)
Epoch: [26][3700/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.3588 (2.5399)	Prec@1 37.500 (37.837)	Prec@5 69.500 (68.773)
Epoch: [26][3710/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4119 (2.5399)	Prec@1 38.000 (37.833)	Prec@5 70.500 (68.770)
Epoch: [26][3720/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4654 (2.5400)	Prec@1 39.000 (37.834)	Prec@5 65.500 (68.767)
Epoch: [26][3730/9018]	Time 0.734 (0.616)	Data 0.001 (0.001)	Loss 2.7384 (2.5400)	Prec@1 30.000 (37.833)	Prec@5 64.500 (68.769)
Epoch: [26][3740/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5425 (2.5403)	Prec@1 35.000 (37.829)	Prec@5 66.000 (68.762)
Epoch: [26][3750/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6740 (2.5405)	Prec@1 37.500 (37.826)	Prec@5 67.000 (68.758)
Epoch: [26][3760/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4757 (2.5405)	Prec@1 38.000 (37.825)	Prec@5 68.000 (68.759)
Epoch: [26][3770/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5509 (2.5405)	Prec@1 35.500 (37.823)	Prec@5 69.500 (68.756)
Epoch: [26][3780/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5259 (2.5406)	Prec@1 37.500 (37.820)	Prec@5 69.000 (68.756)
Epoch: [26][3790/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5697 (2.5407)	Prec@1 39.500 (37.818)	Prec@5 70.000 (68.755)
Epoch: [26][3800/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4637 (2.5406)	Prec@1 39.000 (37.824)	Prec@5 68.000 (68.757)
Epoch: [26][3810/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4083 (2.5403)	Prec@1 38.000 (37.826)	Prec@5 71.000 (68.763)
Epoch: [26][3820/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7819 (2.5403)	Prec@1 29.500 (37.825)	Prec@5 65.500 (68.761)
Epoch: [26][3830/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6347 (2.5404)	Prec@1 36.500 (37.828)	Prec@5 64.500 (68.758)
Epoch: [26][3840/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6541 (2.5403)	Prec@1 35.500 (37.831)	Prec@5 69.000 (68.759)
Epoch: [26][3850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4406 (2.5404)	Prec@1 39.000 (37.828)	Prec@5 73.000 (68.758)
Epoch: [26][3860/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4251 (2.5402)	Prec@1 37.500 (37.828)	Prec@5 68.500 (68.760)
Epoch: [26][3870/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5826 (2.5401)	Prec@1 39.500 (37.829)	Prec@5 69.000 (68.761)
Epoch: [26][3880/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5885 (2.5403)	Prec@1 37.000 (37.826)	Prec@5 67.000 (68.758)
Epoch: [26][3890/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.7010 (2.5404)	Prec@1 38.500 (37.826)	Prec@5 66.000 (68.760)
Epoch: [26][3900/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4478 (2.5403)	Prec@1 41.500 (37.830)	Prec@5 68.500 (68.759)
Epoch: [26][3910/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7405 (2.5405)	Prec@1 33.500 (37.824)	Prec@5 67.500 (68.755)
Epoch: [26][3920/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6580 (2.5405)	Prec@1 34.500 (37.821)	Prec@5 67.000 (68.755)
Epoch: [26][3930/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4467 (2.5405)	Prec@1 36.500 (37.822)	Prec@5 72.000 (68.754)
Epoch: [26][3940/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6032 (2.5406)	Prec@1 41.500 (37.818)	Prec@5 67.000 (68.751)
Epoch: [26][3950/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.2686 (2.5407)	Prec@1 43.000 (37.817)	Prec@5 73.500 (68.749)
Epoch: [26][3960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8455 (2.5406)	Prec@1 33.000 (37.821)	Prec@5 63.000 (68.751)
Epoch: [26][3970/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6611 (2.5409)	Prec@1 32.500 (37.814)	Prec@5 64.000 (68.747)
Epoch: [26][3980/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5930 (2.5409)	Prec@1 32.500 (37.813)	Prec@5 69.500 (68.747)
Epoch: [26][3990/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6113 (2.5408)	Prec@1 34.500 (37.813)	Prec@5 68.000 (68.747)
Epoch: [26][4000/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4408 (2.5408)	Prec@1 39.500 (37.811)	Prec@5 70.500 (68.750)
Epoch: [26][4010/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.7216 (2.5410)	Prec@1 32.500 (37.807)	Prec@5 65.000 (68.748)
Epoch: [26][4020/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4847 (2.5409)	Prec@1 39.500 (37.808)	Prec@5 69.500 (68.750)
Epoch: [26][4030/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6014 (2.5410)	Prec@1 33.500 (37.808)	Prec@5 65.500 (68.749)
Epoch: [26][4040/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4920 (2.5411)	Prec@1 37.500 (37.808)	Prec@5 70.000 (68.748)
Epoch: [26][4050/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7966 (2.5409)	Prec@1 33.000 (37.812)	Prec@5 62.500 (68.750)
Epoch: [26][4060/9018]	Time 0.761 (0.615)	Data 0.001 (0.001)	Loss 2.6530 (2.5410)	Prec@1 36.500 (37.813)	Prec@5 67.000 (68.751)
Epoch: [26][4070/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5754 (2.5410)	Prec@1 32.500 (37.811)	Prec@5 66.500 (68.747)
Epoch: [26][4080/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3712 (2.5407)	Prec@1 39.500 (37.818)	Prec@5 73.000 (68.749)
Epoch: [26][4090/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6828 (2.5407)	Prec@1 36.000 (37.816)	Prec@5 67.000 (68.750)
Epoch: [26][4100/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6170 (2.5408)	Prec@1 33.000 (37.817)	Prec@5 66.500 (68.748)
Epoch: [26][4110/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5131 (2.5407)	Prec@1 38.000 (37.819)	Prec@5 70.500 (68.750)
Epoch: [26][4120/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6708 (2.5407)	Prec@1 31.000 (37.817)	Prec@5 66.000 (68.751)
Epoch: [26][4130/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5615 (2.5406)	Prec@1 40.500 (37.818)	Prec@5 71.500 (68.756)
Epoch: [26][4140/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.8949 (2.5408)	Prec@1 33.500 (37.813)	Prec@5 66.500 (68.751)
Epoch: [26][4150/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5338 (2.5407)	Prec@1 40.500 (37.815)	Prec@5 69.500 (68.752)
Epoch: [26][4160/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.3763 (2.5405)	Prec@1 38.000 (37.824)	Prec@5 72.500 (68.755)
Epoch: [26][4170/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5100 (2.5405)	Prec@1 38.000 (37.825)	Prec@5 70.000 (68.753)
Epoch: [26][4180/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6665 (2.5404)	Prec@1 32.000 (37.827)	Prec@5 64.500 (68.753)
Epoch: [26][4190/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3748 (2.5403)	Prec@1 40.000 (37.826)	Prec@5 70.500 (68.755)
Epoch: [26][4200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2715 (2.5402)	Prec@1 47.500 (37.828)	Prec@5 73.500 (68.758)
Epoch: [26][4210/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6772 (2.5402)	Prec@1 37.000 (37.831)	Prec@5 66.000 (68.760)
Epoch: [26][4220/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6307 (2.5402)	Prec@1 37.500 (37.831)	Prec@5 68.000 (68.759)
Epoch: [26][4230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7037 (2.5401)	Prec@1 35.500 (37.834)	Prec@5 70.000 (68.763)
Epoch: [26][4240/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4317 (2.5400)	Prec@1 42.500 (37.838)	Prec@5 70.500 (68.765)
Epoch: [26][4250/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4412 (2.5401)	Prec@1 41.500 (37.837)	Prec@5 71.000 (68.762)
Epoch: [26][4260/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6508 (2.5402)	Prec@1 38.000 (37.836)	Prec@5 67.500 (68.761)
Epoch: [26][4270/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7722 (2.5402)	Prec@1 32.000 (37.833)	Prec@5 68.500 (68.762)
Epoch: [26][4280/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6006 (2.5402)	Prec@1 39.500 (37.836)	Prec@5 69.000 (68.763)
Epoch: [26][4290/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5433 (2.5401)	Prec@1 36.500 (37.841)	Prec@5 68.500 (68.764)
Epoch: [26][4300/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5669 (2.5401)	Prec@1 34.500 (37.840)	Prec@5 71.500 (68.768)
Epoch: [26][4310/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.3678 (2.5401)	Prec@1 38.500 (37.837)	Prec@5 74.500 (68.769)
Epoch: [26][4320/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5083 (2.5401)	Prec@1 35.500 (37.838)	Prec@5 68.000 (68.771)
Epoch: [26][4330/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7173 (2.5403)	Prec@1 32.500 (37.834)	Prec@5 66.000 (68.768)
Epoch: [26][4340/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.6518 (2.5403)	Prec@1 38.500 (37.836)	Prec@5 68.500 (68.768)
Epoch: [26][4350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6425 (2.5403)	Prec@1 33.500 (37.835)	Prec@5 68.000 (68.766)
Epoch: [26][4360/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5752 (2.5404)	Prec@1 37.000 (37.835)	Prec@5 68.000 (68.766)
Epoch: [26][4370/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6442 (2.5404)	Prec@1 35.000 (37.834)	Prec@5 66.000 (68.767)
Epoch: [26][4380/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7240 (2.5407)	Prec@1 35.500 (37.832)	Prec@5 67.500 (68.763)
Epoch: [26][4390/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.4614 (2.5406)	Prec@1 39.000 (37.838)	Prec@5 72.500 (68.766)
Epoch: [26][4400/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7550 (2.5407)	Prec@1 37.000 (37.836)	Prec@5 66.500 (68.765)
Epoch: [26][4410/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4444 (2.5406)	Prec@1 39.500 (37.833)	Prec@5 70.000 (68.762)
Epoch: [26][4420/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6599 (2.5406)	Prec@1 38.500 (37.835)	Prec@5 63.500 (68.761)
Epoch: [26][4430/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7058 (2.5407)	Prec@1 35.000 (37.835)	Prec@5 67.000 (68.762)
Epoch: [26][4440/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6236 (2.5408)	Prec@1 36.500 (37.831)	Prec@5 64.500 (68.759)
Epoch: [26][4450/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4193 (2.5408)	Prec@1 38.000 (37.832)	Prec@5 73.000 (68.759)
Epoch: [26][4460/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5413 (2.5409)	Prec@1 45.000 (37.833)	Prec@5 71.000 (68.757)
Epoch: [26][4470/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5460 (2.5410)	Prec@1 38.500 (37.833)	Prec@5 68.000 (68.756)
Epoch: [26][4480/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4370 (2.5411)	Prec@1 36.500 (37.829)	Prec@5 72.500 (68.754)
Epoch: [26][4490/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5120 (2.5410)	Prec@1 41.500 (37.833)	Prec@5 70.000 (68.755)
Epoch: [26][4500/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7558 (2.5412)	Prec@1 36.000 (37.830)	Prec@5 67.500 (68.753)
Epoch: [26][4510/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4175 (2.5411)	Prec@1 35.500 (37.832)	Prec@5 70.500 (68.754)
Epoch: [26][4520/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5003 (2.5411)	Prec@1 37.000 (37.831)	Prec@5 70.000 (68.754)
Epoch: [26][4530/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4732 (2.5410)	Prec@1 40.500 (37.833)	Prec@5 69.500 (68.755)
Epoch: [26][4540/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.8169 (2.5411)	Prec@1 34.000 (37.833)	Prec@5 67.000 (68.756)
Epoch: [26][4550/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8031 (2.5411)	Prec@1 33.500 (37.834)	Prec@5 62.000 (68.757)
Epoch: [26][4560/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3792 (2.5410)	Prec@1 40.000 (37.835)	Prec@5 73.000 (68.759)
Epoch: [26][4570/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4441 (2.5410)	Prec@1 41.000 (37.834)	Prec@5 70.500 (68.763)
Epoch: [26][4580/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6792 (2.5410)	Prec@1 36.000 (37.837)	Prec@5 63.500 (68.763)
Epoch: [26][4590/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5184 (2.5410)	Prec@1 39.500 (37.838)	Prec@5 69.000 (68.761)
Epoch: [26][4600/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3065 (2.5411)	Prec@1 38.000 (37.837)	Prec@5 76.500 (68.762)
Epoch: [26][4610/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4410 (2.5408)	Prec@1 36.500 (37.842)	Prec@5 70.500 (68.764)
Epoch: [26][4620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4482 (2.5407)	Prec@1 42.000 (37.845)	Prec@5 66.500 (68.768)
Epoch: [26][4630/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6345 (2.5407)	Prec@1 41.000 (37.845)	Prec@5 69.000 (68.769)
Epoch: [26][4640/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5709 (2.5406)	Prec@1 38.000 (37.845)	Prec@5 64.000 (68.770)
Epoch: [26][4650/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7652 (2.5408)	Prec@1 34.500 (37.841)	Prec@5 64.500 (68.766)
Epoch: [26][4660/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5171 (2.5410)	Prec@1 38.500 (37.839)	Prec@5 68.000 (68.766)
Epoch: [26][4670/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.6816 (2.5411)	Prec@1 34.500 (37.837)	Prec@5 66.000 (68.765)
Epoch: [26][4680/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5335 (2.5411)	Prec@1 38.000 (37.836)	Prec@5 69.000 (68.764)
Epoch: [26][4690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3782 (2.5409)	Prec@1 42.000 (37.839)	Prec@5 71.500 (68.768)
Epoch: [26][4700/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.8584 (2.5410)	Prec@1 32.500 (37.839)	Prec@5 64.500 (68.769)
Epoch: [26][4710/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.2350 (2.5410)	Prec@1 43.000 (37.837)	Prec@5 75.500 (68.770)
Epoch: [26][4720/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.6818 (2.5410)	Prec@1 34.500 (37.836)	Prec@5 63.500 (68.770)
Epoch: [26][4730/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5204 (2.5412)	Prec@1 35.000 (37.835)	Prec@5 70.000 (68.769)
Epoch: [26][4740/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4252 (2.5412)	Prec@1 42.000 (37.835)	Prec@5 71.000 (68.770)
Epoch: [26][4750/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4408 (2.5411)	Prec@1 41.500 (37.835)	Prec@5 70.500 (68.771)
Epoch: [26][4760/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4272 (2.5411)	Prec@1 40.500 (37.834)	Prec@5 70.000 (68.769)
Epoch: [26][4770/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7157 (2.5411)	Prec@1 33.000 (37.834)	Prec@5 67.000 (68.771)
Epoch: [26][4780/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3377 (2.5410)	Prec@1 40.500 (37.837)	Prec@5 74.000 (68.776)
Epoch: [26][4790/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5582 (2.5409)	Prec@1 36.000 (37.836)	Prec@5 69.000 (68.774)
Epoch: [26][4800/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7055 (2.5411)	Prec@1 34.500 (37.834)	Prec@5 63.500 (68.770)
Epoch: [26][4810/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8094 (2.5411)	Prec@1 37.000 (37.834)	Prec@5 65.500 (68.771)
Epoch: [26][4820/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4969 (2.5411)	Prec@1 35.000 (37.832)	Prec@5 71.500 (68.771)
Epoch: [26][4830/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3834 (2.5412)	Prec@1 38.500 (37.828)	Prec@5 73.000 (68.771)
Epoch: [26][4840/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.7030 (2.5414)	Prec@1 35.500 (37.825)	Prec@5 67.000 (68.766)
Epoch: [26][4850/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.3221 (2.5414)	Prec@1 41.000 (37.825)	Prec@5 73.000 (68.766)
Epoch: [26][4860/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3809 (2.5414)	Prec@1 41.000 (37.827)	Prec@5 70.000 (68.764)
Epoch: [26][4870/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5912 (2.5415)	Prec@1 38.500 (37.826)	Prec@5 68.000 (68.760)
Epoch: [26][4880/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.3944 (2.5415)	Prec@1 42.500 (37.826)	Prec@5 73.000 (68.761)
Epoch: [26][4890/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7648 (2.5416)	Prec@1 38.500 (37.829)	Prec@5 66.500 (68.759)
Epoch: [26][4900/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6466 (2.5417)	Prec@1 36.500 (37.827)	Prec@5 65.500 (68.757)
Epoch: [26][4910/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6482 (2.5416)	Prec@1 36.000 (37.826)	Prec@5 67.000 (68.760)
Epoch: [26][4920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6286 (2.5416)	Prec@1 34.000 (37.827)	Prec@5 67.000 (68.760)
Epoch: [26][4930/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6140 (2.5416)	Prec@1 36.000 (37.829)	Prec@5 68.500 (68.760)
Epoch: [26][4940/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4503 (2.5416)	Prec@1 41.000 (37.826)	Prec@5 69.500 (68.761)
Epoch: [26][4950/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6166 (2.5416)	Prec@1 38.500 (37.824)	Prec@5 72.000 (68.762)
Epoch: [26][4960/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4863 (2.5416)	Prec@1 37.500 (37.826)	Prec@5 70.500 (68.761)
Epoch: [26][4970/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3568 (2.5416)	Prec@1 40.000 (37.825)	Prec@5 73.500 (68.764)
Epoch: [26][4980/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7644 (2.5417)	Prec@1 32.500 (37.823)	Prec@5 61.500 (68.763)
Epoch: [26][4990/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.7035 (2.5417)	Prec@1 36.000 (37.824)	Prec@5 62.500 (68.762)
Epoch: [26][5000/9018]	Time 0.795 (0.615)	Data 0.001 (0.001)	Loss 2.7861 (2.5417)	Prec@1 37.000 (37.825)	Prec@5 66.000 (68.761)
Epoch: [26][5010/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4595 (2.5418)	Prec@1 39.500 (37.827)	Prec@5 72.000 (68.760)
Epoch: [26][5020/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4793 (2.5418)	Prec@1 37.500 (37.829)	Prec@5 68.500 (68.759)
Epoch: [26][5030/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5599 (2.5417)	Prec@1 37.500 (37.829)	Prec@5 67.000 (68.761)
Epoch: [26][5040/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6104 (2.5416)	Prec@1 39.500 (37.831)	Prec@5 66.500 (68.761)
Epoch: [26][5050/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.5753 (2.5417)	Prec@1 35.500 (37.832)	Prec@5 66.000 (68.759)
Epoch: [26][5060/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8677 (2.5417)	Prec@1 35.500 (37.831)	Prec@5 62.500 (68.757)
Epoch: [26][5070/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6129 (2.5417)	Prec@1 33.000 (37.830)	Prec@5 68.500 (68.756)
Epoch: [26][5080/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5691 (2.5417)	Prec@1 40.000 (37.829)	Prec@5 68.500 (68.756)
Epoch: [26][5090/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4146 (2.5416)	Prec@1 38.000 (37.830)	Prec@5 72.500 (68.758)
Epoch: [26][5100/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5039 (2.5416)	Prec@1 35.500 (37.828)	Prec@5 70.000 (68.758)
Epoch: [26][5110/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5912 (2.5416)	Prec@1 32.000 (37.829)	Prec@5 70.500 (68.759)
Epoch: [26][5120/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5699 (2.5417)	Prec@1 34.000 (37.826)	Prec@5 68.000 (68.757)
Epoch: [26][5130/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.8455 (2.5417)	Prec@1 35.000 (37.827)	Prec@5 62.000 (68.758)
Epoch: [26][5140/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4029 (2.5418)	Prec@1 40.500 (37.826)	Prec@5 75.500 (68.759)
Epoch: [26][5150/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5820 (2.5417)	Prec@1 33.500 (37.826)	Prec@5 65.500 (68.762)
Epoch: [26][5160/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4538 (2.5418)	Prec@1 37.500 (37.824)	Prec@5 71.000 (68.759)
Epoch: [26][5170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4704 (2.5419)	Prec@1 41.500 (37.821)	Prec@5 69.000 (68.756)
Epoch: [26][5180/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4498 (2.5419)	Prec@1 40.500 (37.820)	Prec@5 70.500 (68.756)
Epoch: [26][5190/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4457 (2.5421)	Prec@1 43.500 (37.816)	Prec@5 69.000 (68.750)
Epoch: [26][5200/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7060 (2.5421)	Prec@1 33.000 (37.817)	Prec@5 66.500 (68.751)
Epoch: [26][5210/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4471 (2.5422)	Prec@1 44.500 (37.816)	Prec@5 70.000 (68.749)
Epoch: [26][5220/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7818 (2.5422)	Prec@1 33.500 (37.816)	Prec@5 62.500 (68.748)
Epoch: [26][5230/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4082 (2.5421)	Prec@1 44.000 (37.819)	Prec@5 68.000 (68.751)
Epoch: [26][5240/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5722 (2.5419)	Prec@1 36.500 (37.825)	Prec@5 67.500 (68.754)
Epoch: [26][5250/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7220 (2.5419)	Prec@1 32.000 (37.825)	Prec@5 64.500 (68.754)
Epoch: [26][5260/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4581 (2.5421)	Prec@1 36.000 (37.821)	Prec@5 72.000 (68.751)
Epoch: [26][5270/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4535 (2.5421)	Prec@1 38.500 (37.820)	Prec@5 71.000 (68.752)
Epoch: [26][5280/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5077 (2.5420)	Prec@1 35.500 (37.821)	Prec@5 70.000 (68.754)
Epoch: [26][5290/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3714 (2.5421)	Prec@1 42.000 (37.817)	Prec@5 74.500 (68.756)
Epoch: [26][5300/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4877 (2.5423)	Prec@1 37.000 (37.814)	Prec@5 73.500 (68.752)
Epoch: [26][5310/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.3740 (2.5422)	Prec@1 40.500 (37.815)	Prec@5 75.000 (68.753)
Epoch: [26][5320/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5666 (2.5423)	Prec@1 35.000 (37.812)	Prec@5 65.500 (68.754)
Epoch: [26][5330/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.4702 (2.5423)	Prec@1 37.500 (37.812)	Prec@5 68.500 (68.751)
Epoch: [26][5340/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4090 (2.5424)	Prec@1 42.500 (37.812)	Prec@5 69.500 (68.747)
Epoch: [26][5350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5630 (2.5426)	Prec@1 37.500 (37.807)	Prec@5 69.000 (68.741)
Epoch: [26][5360/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.7110 (2.5427)	Prec@1 35.000 (37.805)	Prec@5 67.500 (68.739)
Epoch: [26][5370/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4571 (2.5426)	Prec@1 36.000 (37.805)	Prec@5 71.500 (68.739)
Epoch: [26][5380/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.5585 (2.5426)	Prec@1 35.500 (37.806)	Prec@5 68.500 (68.741)
Epoch: [26][5390/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7048 (2.5426)	Prec@1 36.500 (37.805)	Prec@5 68.500 (68.741)
Epoch: [26][5400/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5469 (2.5426)	Prec@1 40.500 (37.804)	Prec@5 70.000 (68.741)
Epoch: [26][5410/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6052 (2.5426)	Prec@1 36.000 (37.803)	Prec@5 68.500 (68.741)
Epoch: [26][5420/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5742 (2.5426)	Prec@1 38.000 (37.804)	Prec@5 70.500 (68.741)
Epoch: [26][5430/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5854 (2.5427)	Prec@1 36.000 (37.804)	Prec@5 69.000 (68.741)
Epoch: [26][5440/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4569 (2.5426)	Prec@1 34.500 (37.806)	Prec@5 71.000 (68.743)
Epoch: [26][5450/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5830 (2.5426)	Prec@1 35.500 (37.808)	Prec@5 70.500 (68.742)
Epoch: [26][5460/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5541 (2.5426)	Prec@1 38.500 (37.808)	Prec@5 64.500 (68.739)
Epoch: [26][5470/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4731 (2.5425)	Prec@1 38.500 (37.811)	Prec@5 69.000 (68.740)
Epoch: [26][5480/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4179 (2.5425)	Prec@1 37.500 (37.812)	Prec@5 71.500 (68.741)
Epoch: [26][5490/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4519 (2.5426)	Prec@1 39.500 (37.808)	Prec@5 67.500 (68.739)
Epoch: [26][5500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7664 (2.5427)	Prec@1 32.000 (37.806)	Prec@5 67.000 (68.737)
Epoch: [26][5510/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5706 (2.5428)	Prec@1 38.000 (37.803)	Prec@5 68.500 (68.736)
Epoch: [26][5520/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8875 (2.5428)	Prec@1 33.000 (37.804)	Prec@5 63.000 (68.736)
Epoch: [26][5530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5701 (2.5428)	Prec@1 39.000 (37.804)	Prec@5 65.500 (68.736)
Epoch: [26][5540/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.8665 (2.5428)	Prec@1 29.500 (37.805)	Prec@5 63.500 (68.738)
Epoch: [26][5550/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6284 (2.5429)	Prec@1 36.500 (37.803)	Prec@5 67.000 (68.738)
Epoch: [26][5560/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.7627 (2.5428)	Prec@1 33.000 (37.804)	Prec@5 63.500 (68.739)
Epoch: [26][5570/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6708 (2.5429)	Prec@1 38.000 (37.804)	Prec@5 65.500 (68.738)
Epoch: [26][5580/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4705 (2.5430)	Prec@1 42.500 (37.803)	Prec@5 68.500 (68.736)
Epoch: [26][5590/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6262 (2.5430)	Prec@1 37.000 (37.804)	Prec@5 72.500 (68.738)
Epoch: [26][5600/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4253 (2.5429)	Prec@1 42.500 (37.807)	Prec@5 69.000 (68.739)
Epoch: [26][5610/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4827 (2.5428)	Prec@1 38.500 (37.809)	Prec@5 68.000 (68.741)
Epoch: [26][5620/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5721 (2.5429)	Prec@1 41.000 (37.807)	Prec@5 70.000 (68.739)
Epoch: [26][5630/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4964 (2.5429)	Prec@1 36.000 (37.805)	Prec@5 68.000 (68.739)
Epoch: [26][5640/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6490 (2.5430)	Prec@1 38.000 (37.804)	Prec@5 69.000 (68.738)
Epoch: [26][5650/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7934 (2.5430)	Prec@1 34.500 (37.805)	Prec@5 64.000 (68.739)
Epoch: [26][5660/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.5347 (2.5429)	Prec@1 37.000 (37.803)	Prec@5 70.500 (68.740)
Epoch: [26][5670/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5156 (2.5430)	Prec@1 36.500 (37.799)	Prec@5 72.000 (68.739)
Epoch: [26][5680/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5118 (2.5429)	Prec@1 40.500 (37.800)	Prec@5 70.500 (68.740)
Epoch: [26][5690/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5756 (2.5429)	Prec@1 34.500 (37.797)	Prec@5 65.500 (68.740)
Epoch: [26][5700/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5983 (2.5430)	Prec@1 35.000 (37.795)	Prec@5 67.500 (68.739)
Epoch: [26][5710/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.6029 (2.5430)	Prec@1 37.000 (37.792)	Prec@5 64.500 (68.737)
Epoch: [26][5720/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.2532 (2.5430)	Prec@1 43.000 (37.795)	Prec@5 74.500 (68.738)
Epoch: [26][5730/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4026 (2.5430)	Prec@1 37.500 (37.796)	Prec@5 70.500 (68.739)
Epoch: [26][5740/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5765 (2.5430)	Prec@1 40.000 (37.798)	Prec@5 70.500 (68.739)
Epoch: [26][5750/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4897 (2.5431)	Prec@1 39.000 (37.794)	Prec@5 68.500 (68.738)
Epoch: [26][5760/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3262 (2.5431)	Prec@1 41.000 (37.792)	Prec@5 75.000 (68.737)
Epoch: [26][5770/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6506 (2.5431)	Prec@1 32.000 (37.793)	Prec@5 68.000 (68.738)
Epoch: [26][5780/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5194 (2.5430)	Prec@1 43.000 (37.795)	Prec@5 67.500 (68.739)
Epoch: [26][5790/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4853 (2.5429)	Prec@1 42.000 (37.796)	Prec@5 68.000 (68.739)
Epoch: [26][5800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6207 (2.5430)	Prec@1 34.500 (37.796)	Prec@5 67.500 (68.737)
Epoch: [26][5810/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4544 (2.5430)	Prec@1 42.000 (37.796)	Prec@5 70.500 (68.737)
Epoch: [26][5820/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4447 (2.5430)	Prec@1 40.500 (37.796)	Prec@5 69.500 (68.738)
Epoch: [26][5830/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6162 (2.5431)	Prec@1 38.000 (37.794)	Prec@5 66.000 (68.736)
Epoch: [26][5840/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5228 (2.5431)	Prec@1 38.500 (37.796)	Prec@5 66.500 (68.737)
Epoch: [26][5850/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4144 (2.5432)	Prec@1 40.000 (37.795)	Prec@5 71.500 (68.734)
Epoch: [26][5860/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6205 (2.5432)	Prec@1 34.000 (37.796)	Prec@5 67.000 (68.734)
Epoch: [26][5870/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6030 (2.5431)	Prec@1 38.000 (37.799)	Prec@5 67.000 (68.734)
Epoch: [26][5880/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5286 (2.5430)	Prec@1 41.000 (37.802)	Prec@5 68.000 (68.735)
Epoch: [26][5890/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7470 (2.5430)	Prec@1 34.000 (37.802)	Prec@5 63.500 (68.735)
Epoch: [26][5900/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6574 (2.5429)	Prec@1 37.500 (37.806)	Prec@5 65.500 (68.734)
Epoch: [26][5910/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5314 (2.5430)	Prec@1 37.000 (37.804)	Prec@5 67.000 (68.730)
Epoch: [26][5920/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5074 (2.5430)	Prec@1 37.500 (37.803)	Prec@5 71.000 (68.732)
Epoch: [26][5930/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2760 (2.5430)	Prec@1 44.500 (37.803)	Prec@5 71.500 (68.731)
Epoch: [26][5940/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4093 (2.5429)	Prec@1 40.000 (37.804)	Prec@5 71.000 (68.733)
Epoch: [26][5950/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7439 (2.5429)	Prec@1 29.500 (37.805)	Prec@5 64.000 (68.732)
Epoch: [26][5960/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6686 (2.5430)	Prec@1 37.000 (37.805)	Prec@5 66.500 (68.731)
Epoch: [26][5970/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4021 (2.5429)	Prec@1 43.500 (37.807)	Prec@5 73.500 (68.733)
Epoch: [26][5980/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5258 (2.5428)	Prec@1 44.500 (37.811)	Prec@5 68.000 (68.734)
Epoch: [26][5990/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.6057 (2.5429)	Prec@1 37.500 (37.810)	Prec@5 68.500 (68.733)
Epoch: [26][6000/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5533 (2.5430)	Prec@1 36.500 (37.808)	Prec@5 71.000 (68.731)
Epoch: [26][6010/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6035 (2.5431)	Prec@1 38.500 (37.805)	Prec@5 68.500 (68.730)
Epoch: [26][6020/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6652 (2.5431)	Prec@1 32.500 (37.803)	Prec@5 67.000 (68.728)
Epoch: [26][6030/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5105 (2.5431)	Prec@1 39.000 (37.803)	Prec@5 67.000 (68.729)
Epoch: [26][6040/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 2.4534 (2.5431)	Prec@1 36.000 (37.801)	Prec@5 73.000 (68.727)
Epoch: [26][6050/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6544 (2.5430)	Prec@1 37.500 (37.803)	Prec@5 68.000 (68.729)
Epoch: [26][6060/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3111 (2.5431)	Prec@1 41.500 (37.804)	Prec@5 73.000 (68.727)
Epoch: [26][6070/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5193 (2.5430)	Prec@1 37.000 (37.805)	Prec@5 68.000 (68.728)
Epoch: [26][6080/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5638 (2.5431)	Prec@1 36.500 (37.807)	Prec@5 69.500 (68.728)
Epoch: [26][6090/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5932 (2.5430)	Prec@1 40.000 (37.808)	Prec@5 71.000 (68.731)
Epoch: [26][6100/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6362 (2.5430)	Prec@1 38.000 (37.807)	Prec@5 62.500 (68.729)
Epoch: [26][6110/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4452 (2.5429)	Prec@1 44.500 (37.809)	Prec@5 70.000 (68.730)
Epoch: [26][6120/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7180 (2.5429)	Prec@1 34.000 (37.807)	Prec@5 64.000 (68.731)
Epoch: [26][6130/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7308 (2.5429)	Prec@1 37.000 (37.807)	Prec@5 62.000 (68.731)
Epoch: [26][6140/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.7470 (2.5430)	Prec@1 36.000 (37.808)	Prec@5 68.000 (68.731)
Epoch: [26][6150/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2961 (2.5430)	Prec@1 42.500 (37.808)	Prec@5 75.000 (68.731)
Epoch: [26][6160/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2125 (2.5430)	Prec@1 42.000 (37.806)	Prec@5 73.500 (68.730)
Epoch: [26][6170/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5303 (2.5431)	Prec@1 37.500 (37.805)	Prec@5 66.500 (68.727)
Epoch: [26][6180/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7189 (2.5432)	Prec@1 36.000 (37.805)	Prec@5 66.500 (68.725)
Epoch: [26][6190/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5997 (2.5432)	Prec@1 36.500 (37.804)	Prec@5 68.500 (68.726)
Epoch: [26][6200/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5138 (2.5431)	Prec@1 35.500 (37.804)	Prec@5 71.500 (68.727)
Epoch: [26][6210/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4675 (2.5432)	Prec@1 39.000 (37.803)	Prec@5 71.000 (68.726)
Epoch: [26][6220/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6705 (2.5432)	Prec@1 37.000 (37.803)	Prec@5 65.000 (68.727)
Epoch: [26][6230/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7413 (2.5432)	Prec@1 35.500 (37.803)	Prec@5 62.500 (68.726)
Epoch: [26][6240/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5258 (2.5432)	Prec@1 34.500 (37.802)	Prec@5 68.000 (68.726)
Epoch: [26][6250/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5938 (2.5432)	Prec@1 41.500 (37.803)	Prec@5 70.000 (68.727)
Epoch: [26][6260/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.3307 (2.5432)	Prec@1 46.500 (37.801)	Prec@5 73.500 (68.728)
Epoch: [26][6270/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5044 (2.5433)	Prec@1 37.500 (37.799)	Prec@5 68.000 (68.725)
Epoch: [26][6280/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6040 (2.5433)	Prec@1 33.000 (37.796)	Prec@5 69.500 (68.724)
Epoch: [26][6290/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3804 (2.5433)	Prec@1 42.500 (37.797)	Prec@5 72.000 (68.726)
Epoch: [26][6300/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4581 (2.5433)	Prec@1 40.000 (37.797)	Prec@5 70.000 (68.724)
Epoch: [26][6310/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2717 (2.5433)	Prec@1 39.000 (37.797)	Prec@5 74.500 (68.726)
Epoch: [26][6320/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.3035 (2.5432)	Prec@1 44.000 (37.801)	Prec@5 75.000 (68.727)
Epoch: [26][6330/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3202 (2.5431)	Prec@1 44.500 (37.802)	Prec@5 73.500 (68.729)
Epoch: [26][6340/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3572 (2.5430)	Prec@1 39.000 (37.803)	Prec@5 70.500 (68.729)
Epoch: [26][6350/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6069 (2.5432)	Prec@1 36.000 (37.802)	Prec@5 67.000 (68.725)
Epoch: [26][6360/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6831 (2.5433)	Prec@1 34.500 (37.798)	Prec@5 61.500 (68.721)
Epoch: [26][6370/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.4694 (2.5434)	Prec@1 39.000 (37.798)	Prec@5 72.000 (68.718)
Epoch: [26][6380/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6121 (2.5434)	Prec@1 37.500 (37.798)	Prec@5 64.000 (68.718)
Epoch: [26][6390/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8274 (2.5435)	Prec@1 30.500 (37.795)	Prec@5 61.500 (68.716)
Epoch: [26][6400/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3985 (2.5434)	Prec@1 39.000 (37.796)	Prec@5 74.000 (68.716)
Epoch: [26][6410/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3574 (2.5435)	Prec@1 39.500 (37.794)	Prec@5 71.000 (68.714)
Epoch: [26][6420/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.8097 (2.5435)	Prec@1 33.000 (37.793)	Prec@5 66.500 (68.716)
Epoch: [26][6430/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4372 (2.5435)	Prec@1 37.000 (37.792)	Prec@5 67.500 (68.717)
Epoch: [26][6440/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4162 (2.5435)	Prec@1 42.000 (37.793)	Prec@5 69.000 (68.714)
Epoch: [26][6450/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3871 (2.5436)	Prec@1 42.500 (37.794)	Prec@5 73.500 (68.714)
Epoch: [26][6460/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4533 (2.5436)	Prec@1 37.500 (37.795)	Prec@5 70.500 (68.713)
Epoch: [26][6470/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3972 (2.5435)	Prec@1 41.000 (37.798)	Prec@5 73.500 (68.714)
Epoch: [26][6480/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5495 (2.5435)	Prec@1 40.000 (37.797)	Prec@5 67.500 (68.713)
Epoch: [26][6490/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4986 (2.5435)	Prec@1 34.500 (37.796)	Prec@5 70.000 (68.713)
Epoch: [26][6500/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.3738 (2.5435)	Prec@1 46.000 (37.798)	Prec@5 73.500 (68.715)
Epoch: [26][6510/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5559 (2.5436)	Prec@1 39.500 (37.796)	Prec@5 68.500 (68.713)
Epoch: [26][6520/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4960 (2.5435)	Prec@1 37.500 (37.797)	Prec@5 68.500 (68.714)
Epoch: [26][6530/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5238 (2.5435)	Prec@1 39.500 (37.798)	Prec@5 67.000 (68.715)
Epoch: [26][6540/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3891 (2.5435)	Prec@1 39.500 (37.798)	Prec@5 68.500 (68.717)
Epoch: [26][6550/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.7179 (2.5436)	Prec@1 32.500 (37.797)	Prec@5 66.500 (68.715)
Epoch: [26][6560/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4842 (2.5435)	Prec@1 37.000 (37.799)	Prec@5 72.000 (68.715)
Epoch: [26][6570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8636 (2.5436)	Prec@1 31.000 (37.797)	Prec@5 63.000 (68.715)
Epoch: [26][6580/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5640 (2.5436)	Prec@1 36.500 (37.798)	Prec@5 69.500 (68.715)
Epoch: [26][6590/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4755 (2.5435)	Prec@1 41.000 (37.800)	Prec@5 66.000 (68.716)
Epoch: [26][6600/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5056 (2.5435)	Prec@1 41.000 (37.802)	Prec@5 65.500 (68.716)
Epoch: [26][6610/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.8448 (2.5434)	Prec@1 28.500 (37.803)	Prec@5 61.500 (68.717)
Epoch: [26][6620/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5884 (2.5434)	Prec@1 37.500 (37.802)	Prec@5 61.000 (68.714)
Epoch: [26][6630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5150 (2.5434)	Prec@1 41.500 (37.804)	Prec@5 69.000 (68.716)
Epoch: [26][6640/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4832 (2.5434)	Prec@1 43.000 (37.804)	Prec@5 76.000 (68.715)
Epoch: [26][6650/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.1419 (2.5434)	Prec@1 44.000 (37.804)	Prec@5 74.500 (68.715)
Epoch: [26][6660/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4481 (2.5434)	Prec@1 41.500 (37.806)	Prec@5 68.500 (68.716)
Epoch: [26][6670/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6124 (2.5434)	Prec@1 36.500 (37.805)	Prec@5 70.000 (68.715)
Epoch: [26][6680/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2507 (2.5434)	Prec@1 44.500 (37.806)	Prec@5 75.000 (68.713)
Epoch: [26][6690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4611 (2.5434)	Prec@1 36.500 (37.806)	Prec@5 74.000 (68.714)
Epoch: [26][6700/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.6721 (2.5435)	Prec@1 36.500 (37.804)	Prec@5 65.000 (68.712)
Epoch: [26][6710/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4395 (2.5435)	Prec@1 41.000 (37.803)	Prec@5 69.500 (68.710)
Epoch: [26][6720/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6291 (2.5436)	Prec@1 43.500 (37.805)	Prec@5 68.500 (68.710)
Epoch: [26][6730/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3318 (2.5434)	Prec@1 38.500 (37.808)	Prec@5 73.500 (68.713)
Epoch: [26][6740/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4577 (2.5433)	Prec@1 39.500 (37.812)	Prec@5 73.000 (68.715)
Epoch: [26][6750/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6611 (2.5433)	Prec@1 39.500 (37.816)	Prec@5 71.500 (68.714)
Epoch: [26][6760/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5604 (2.5434)	Prec@1 34.000 (37.813)	Prec@5 66.500 (68.712)
Epoch: [26][6770/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7033 (2.5434)	Prec@1 33.500 (37.813)	Prec@5 66.500 (68.710)
Epoch: [26][6780/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3584 (2.5434)	Prec@1 46.500 (37.813)	Prec@5 71.000 (68.710)
Epoch: [26][6790/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8365 (2.5435)	Prec@1 35.000 (37.812)	Prec@5 64.500 (68.708)
Epoch: [26][6800/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7604 (2.5436)	Prec@1 39.000 (37.812)	Prec@5 65.000 (68.708)
Epoch: [26][6810/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2924 (2.5435)	Prec@1 44.500 (37.813)	Prec@5 72.000 (68.711)
Epoch: [26][6820/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5468 (2.5435)	Prec@1 34.500 (37.812)	Prec@5 69.500 (68.710)
Epoch: [26][6830/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6371 (2.5435)	Prec@1 35.500 (37.813)	Prec@5 67.000 (68.709)
Epoch: [26][6840/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4559 (2.5436)	Prec@1 36.500 (37.810)	Prec@5 70.000 (68.707)
Epoch: [26][6850/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6997 (2.5436)	Prec@1 34.500 (37.809)	Prec@5 63.000 (68.707)
Epoch: [26][6860/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.6715 (2.5436)	Prec@1 33.500 (37.811)	Prec@5 64.000 (68.707)
Epoch: [26][6870/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5726 (2.5435)	Prec@1 37.500 (37.810)	Prec@5 67.000 (68.708)
Epoch: [26][6880/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3963 (2.5434)	Prec@1 42.500 (37.812)	Prec@5 70.000 (68.707)
Epoch: [26][6890/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5879 (2.5435)	Prec@1 36.500 (37.810)	Prec@5 64.000 (68.707)
Epoch: [26][6900/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3706 (2.5435)	Prec@1 43.500 (37.812)	Prec@5 71.500 (68.706)
Epoch: [26][6910/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6151 (2.5435)	Prec@1 39.000 (37.810)	Prec@5 63.500 (68.704)
Epoch: [26][6920/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4255 (2.5435)	Prec@1 37.500 (37.809)	Prec@5 70.500 (68.703)
Epoch: [26][6930/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5104 (2.5434)	Prec@1 41.000 (37.810)	Prec@5 67.500 (68.706)
Epoch: [26][6940/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.9025 (2.5434)	Prec@1 36.000 (37.810)	Prec@5 62.000 (68.707)
Epoch: [26][6950/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4456 (2.5434)	Prec@1 41.000 (37.811)	Prec@5 69.000 (68.704)
Epoch: [26][6960/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3270 (2.5433)	Prec@1 40.500 (37.815)	Prec@5 71.000 (68.705)
Epoch: [26][6970/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5451 (2.5433)	Prec@1 40.500 (37.815)	Prec@5 69.000 (68.705)
Epoch: [26][6980/9018]	Time 0.717 (0.615)	Data 0.001 (0.001)	Loss 2.7532 (2.5433)	Prec@1 37.500 (37.817)	Prec@5 65.500 (68.706)
Epoch: [26][6990/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6303 (2.5433)	Prec@1 37.000 (37.816)	Prec@5 70.500 (68.706)
Epoch: [26][7000/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7276 (2.5435)	Prec@1 36.000 (37.812)	Prec@5 68.500 (68.702)
Epoch: [26][7010/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5683 (2.5436)	Prec@1 36.000 (37.811)	Prec@5 70.500 (68.702)
Epoch: [26][7020/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8336 (2.5436)	Prec@1 34.000 (37.809)	Prec@5 64.500 (68.703)
Epoch: [26][7030/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.4831 (2.5436)	Prec@1 40.000 (37.809)	Prec@5 71.500 (68.705)
Epoch: [26][7040/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5613 (2.5436)	Prec@1 37.500 (37.810)	Prec@5 69.500 (68.706)
Epoch: [26][7050/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5502 (2.5436)	Prec@1 39.500 (37.811)	Prec@5 70.500 (68.705)
Epoch: [26][7060/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5576 (2.5435)	Prec@1 38.000 (37.813)	Prec@5 70.500 (68.706)
Epoch: [26][7070/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6578 (2.5435)	Prec@1 33.500 (37.812)	Prec@5 69.000 (68.707)
Epoch: [26][7080/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1839 (2.5434)	Prec@1 43.000 (37.814)	Prec@5 78.000 (68.707)
Epoch: [26][7090/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6984 (2.5435)	Prec@1 35.000 (37.812)	Prec@5 65.000 (68.706)
Epoch: [26][7100/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4398 (2.5435)	Prec@1 40.000 (37.811)	Prec@5 70.500 (68.706)
Epoch: [26][7110/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4633 (2.5435)	Prec@1 40.000 (37.809)	Prec@5 71.000 (68.705)
Epoch: [26][7120/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0809 (2.5435)	Prec@1 46.000 (37.810)	Prec@5 80.000 (68.708)
Epoch: [26][7130/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4507 (2.5435)	Prec@1 40.000 (37.810)	Prec@5 69.500 (68.706)
Epoch: [26][7140/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4542 (2.5435)	Prec@1 42.500 (37.811)	Prec@5 71.000 (68.705)
Epoch: [26][7150/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5185 (2.5434)	Prec@1 36.000 (37.813)	Prec@5 64.500 (68.707)
Epoch: [26][7160/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5986 (2.5435)	Prec@1 39.500 (37.812)	Prec@5 63.500 (68.704)
Epoch: [26][7170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4641 (2.5435)	Prec@1 34.000 (37.811)	Prec@5 70.500 (68.704)
Epoch: [26][7180/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4924 (2.5435)	Prec@1 37.000 (37.812)	Prec@5 69.000 (68.703)
Epoch: [26][7190/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6571 (2.5435)	Prec@1 40.500 (37.812)	Prec@5 65.500 (68.703)
Epoch: [26][7200/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6752 (2.5436)	Prec@1 35.000 (37.809)	Prec@5 65.500 (68.701)
Epoch: [26][7210/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5927 (2.5436)	Prec@1 39.500 (37.808)	Prec@5 66.000 (68.701)
Epoch: [26][7220/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5287 (2.5436)	Prec@1 41.000 (37.808)	Prec@5 70.500 (68.701)
Epoch: [26][7230/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8406 (2.5437)	Prec@1 33.500 (37.808)	Prec@5 61.000 (68.699)
Epoch: [26][7240/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.9461 (2.5438)	Prec@1 32.500 (37.806)	Prec@5 62.500 (68.697)
Epoch: [26][7250/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4850 (2.5438)	Prec@1 40.000 (37.808)	Prec@5 69.000 (68.696)
Epoch: [26][7260/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4930 (2.5438)	Prec@1 41.000 (37.808)	Prec@5 69.500 (68.696)
Epoch: [26][7270/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4171 (2.5438)	Prec@1 39.500 (37.807)	Prec@5 67.500 (68.695)
Epoch: [26][7280/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4204 (2.5439)	Prec@1 40.000 (37.807)	Prec@5 73.500 (68.693)
Epoch: [26][7290/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5492 (2.5440)	Prec@1 38.000 (37.805)	Prec@5 68.500 (68.691)
Epoch: [26][7300/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5557 (2.5441)	Prec@1 36.000 (37.802)	Prec@5 69.500 (68.689)
Epoch: [26][7310/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.4461 (2.5442)	Prec@1 37.000 (37.800)	Prec@5 72.000 (68.690)
Epoch: [26][7320/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5140 (2.5441)	Prec@1 37.000 (37.800)	Prec@5 73.000 (68.693)
Epoch: [26][7330/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5623 (2.5442)	Prec@1 40.000 (37.799)	Prec@5 68.500 (68.690)
Epoch: [26][7340/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7698 (2.5442)	Prec@1 35.500 (37.799)	Prec@5 64.000 (68.689)
Epoch: [26][7350/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4049 (2.5442)	Prec@1 41.500 (37.799)	Prec@5 70.500 (68.689)
Epoch: [26][7360/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.5661 (2.5441)	Prec@1 37.000 (37.802)	Prec@5 70.500 (68.691)
Epoch: [26][7370/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6764 (2.5442)	Prec@1 34.500 (37.799)	Prec@5 66.000 (68.690)
Epoch: [26][7380/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4998 (2.5441)	Prec@1 38.500 (37.800)	Prec@5 68.000 (68.691)
Epoch: [26][7390/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6602 (2.5442)	Prec@1 35.500 (37.799)	Prec@5 67.500 (68.688)
Epoch: [26][7400/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6839 (2.5442)	Prec@1 31.000 (37.797)	Prec@5 66.000 (68.689)
Epoch: [26][7410/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2664 (2.5442)	Prec@1 41.500 (37.798)	Prec@5 74.500 (68.691)
Epoch: [26][7420/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6226 (2.5443)	Prec@1 37.000 (37.796)	Prec@5 66.000 (68.689)
Epoch: [26][7430/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5739 (2.5442)	Prec@1 39.000 (37.796)	Prec@5 69.000 (68.690)
Epoch: [26][7440/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4329 (2.5443)	Prec@1 39.500 (37.796)	Prec@5 72.000 (68.691)
Epoch: [26][7450/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6177 (2.5442)	Prec@1 39.000 (37.797)	Prec@5 67.000 (68.692)
Epoch: [26][7460/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5968 (2.5443)	Prec@1 34.500 (37.795)	Prec@5 69.000 (68.690)
Epoch: [26][7470/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2756 (2.5443)	Prec@1 44.000 (37.797)	Prec@5 74.500 (68.689)
Epoch: [26][7480/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6234 (2.5442)	Prec@1 37.000 (37.797)	Prec@5 65.000 (68.689)
Epoch: [26][7490/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6456 (2.5442)	Prec@1 36.500 (37.798)	Prec@5 69.500 (68.692)
Epoch: [26][7500/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6803 (2.5444)	Prec@1 35.000 (37.795)	Prec@5 66.500 (68.687)
Epoch: [26][7510/9018]	Time 0.586 (0.615)	Data 0.001 (0.001)	Loss 2.6473 (2.5444)	Prec@1 33.500 (37.793)	Prec@5 69.000 (68.685)
Epoch: [26][7520/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5252 (2.5444)	Prec@1 37.500 (37.793)	Prec@5 67.000 (68.685)
Epoch: [26][7530/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4244 (2.5443)	Prec@1 36.000 (37.796)	Prec@5 70.500 (68.687)
Epoch: [26][7540/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5513 (2.5443)	Prec@1 37.500 (37.797)	Prec@5 68.500 (68.688)
Epoch: [26][7550/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4887 (2.5443)	Prec@1 39.500 (37.796)	Prec@5 70.500 (68.687)
Epoch: [26][7560/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6454 (2.5443)	Prec@1 35.000 (37.796)	Prec@5 70.500 (68.689)
Epoch: [26][7570/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.5344 (2.5444)	Prec@1 41.500 (37.794)	Prec@5 71.000 (68.687)
Epoch: [26][7580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6818 (2.5444)	Prec@1 35.500 (37.795)	Prec@5 67.000 (68.686)
Epoch: [26][7590/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4457 (2.5444)	Prec@1 41.000 (37.796)	Prec@5 71.500 (68.688)
Epoch: [26][7600/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5484 (2.5443)	Prec@1 36.500 (37.798)	Prec@5 70.000 (68.690)
Epoch: [26][7610/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5394 (2.5444)	Prec@1 34.000 (37.798)	Prec@5 71.000 (68.690)
Epoch: [26][7620/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5637 (2.5443)	Prec@1 40.000 (37.797)	Prec@5 71.500 (68.693)
Epoch: [26][7630/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5096 (2.5443)	Prec@1 43.500 (37.797)	Prec@5 68.000 (68.693)
Epoch: [26][7640/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.2956 (2.5443)	Prec@1 44.000 (37.797)	Prec@5 72.000 (68.694)
Epoch: [26][7650/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4409 (2.5442)	Prec@1 43.000 (37.798)	Prec@5 70.000 (68.696)
Epoch: [26][7660/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8212 (2.5443)	Prec@1 33.500 (37.798)	Prec@5 62.500 (68.695)
Epoch: [26][7670/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.5023 (2.5444)	Prec@1 38.500 (37.796)	Prec@5 69.000 (68.694)
Epoch: [26][7680/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6363 (2.5445)	Prec@1 34.500 (37.794)	Prec@5 67.500 (68.693)
Epoch: [26][7690/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.5858 (2.5445)	Prec@1 32.000 (37.793)	Prec@5 69.000 (68.691)
Epoch: [26][7700/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4435 (2.5445)	Prec@1 34.000 (37.791)	Prec@5 68.000 (68.691)
Epoch: [26][7710/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5729 (2.5444)	Prec@1 35.500 (37.792)	Prec@5 69.000 (68.693)
Epoch: [26][7720/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6679 (2.5445)	Prec@1 36.000 (37.792)	Prec@5 67.500 (68.692)
Epoch: [26][7730/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2964 (2.5445)	Prec@1 43.000 (37.792)	Prec@5 74.000 (68.691)
Epoch: [26][7740/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2727 (2.5445)	Prec@1 40.000 (37.792)	Prec@5 74.000 (68.691)
Epoch: [26][7750/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5835 (2.5445)	Prec@1 41.500 (37.794)	Prec@5 67.500 (68.691)
Epoch: [26][7760/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6162 (2.5445)	Prec@1 35.500 (37.795)	Prec@5 65.500 (68.690)
Epoch: [26][7770/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6056 (2.5446)	Prec@1 33.500 (37.793)	Prec@5 70.500 (68.690)
Epoch: [26][7780/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7592 (2.5447)	Prec@1 29.500 (37.789)	Prec@5 64.500 (68.688)
Epoch: [26][7790/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5777 (2.5446)	Prec@1 37.500 (37.790)	Prec@5 70.000 (68.690)
Epoch: [26][7800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3719 (2.5447)	Prec@1 41.500 (37.787)	Prec@5 72.500 (68.690)
Epoch: [26][7810/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4814 (2.5447)	Prec@1 39.500 (37.787)	Prec@5 73.000 (68.690)
Epoch: [26][7820/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.2884 (2.5448)	Prec@1 40.500 (37.785)	Prec@5 73.000 (68.689)
Epoch: [26][7830/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6033 (2.5448)	Prec@1 36.500 (37.784)	Prec@5 70.500 (68.690)
Epoch: [26][7840/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5314 (2.5448)	Prec@1 33.000 (37.779)	Prec@5 70.000 (68.687)
Epoch: [26][7850/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5049 (2.5448)	Prec@1 40.000 (37.779)	Prec@5 66.000 (68.687)
Epoch: [26][7860/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3294 (2.5448)	Prec@1 43.000 (37.782)	Prec@5 75.500 (68.689)
Epoch: [26][7870/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.7150 (2.5448)	Prec@1 34.000 (37.781)	Prec@5 67.500 (68.688)
Epoch: [26][7880/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4152 (2.5447)	Prec@1 37.500 (37.783)	Prec@5 73.000 (68.690)
Epoch: [26][7890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7807 (2.5448)	Prec@1 34.000 (37.782)	Prec@5 61.500 (68.688)
Epoch: [26][7900/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.3870 (2.5448)	Prec@1 40.000 (37.783)	Prec@5 69.500 (68.687)
Epoch: [26][7910/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4362 (2.5449)	Prec@1 37.500 (37.780)	Prec@5 71.000 (68.684)
Epoch: [26][7920/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5065 (2.5449)	Prec@1 41.000 (37.782)	Prec@5 71.000 (68.684)
Epoch: [26][7930/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3916 (2.5447)	Prec@1 39.500 (37.785)	Prec@5 73.500 (68.687)
Epoch: [26][7940/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1915 (2.5448)	Prec@1 44.000 (37.783)	Prec@5 76.000 (68.686)
Epoch: [26][7950/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5866 (2.5447)	Prec@1 38.500 (37.784)	Prec@5 64.500 (68.685)
Epoch: [26][7960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3779 (2.5447)	Prec@1 39.000 (37.784)	Prec@5 71.000 (68.687)
Epoch: [26][7970/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.3751 (2.5447)	Prec@1 41.000 (37.786)	Prec@5 73.000 (68.686)
Epoch: [26][7980/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3028 (2.5448)	Prec@1 43.500 (37.787)	Prec@5 73.000 (68.683)
Epoch: [26][7990/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4306 (2.5448)	Prec@1 40.500 (37.786)	Prec@5 72.000 (68.682)
Epoch: [26][8000/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7178 (2.5449)	Prec@1 33.500 (37.784)	Prec@5 67.000 (68.681)
Epoch: [26][8010/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7488 (2.5449)	Prec@1 35.500 (37.782)	Prec@5 62.500 (68.680)
Epoch: [26][8020/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.6681 (2.5448)	Prec@1 36.000 (37.783)	Prec@5 65.500 (68.683)
Epoch: [26][8030/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5860 (2.5448)	Prec@1 37.500 (37.784)	Prec@5 71.000 (68.682)
Epoch: [26][8040/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2452 (2.5448)	Prec@1 44.000 (37.785)	Prec@5 70.500 (68.682)
Epoch: [26][8050/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4205 (2.5448)	Prec@1 39.000 (37.785)	Prec@5 68.500 (68.681)
Epoch: [26][8060/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6141 (2.5448)	Prec@1 39.500 (37.786)	Prec@5 67.000 (68.681)
Epoch: [26][8070/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.4308 (2.5448)	Prec@1 40.500 (37.787)	Prec@5 72.500 (68.681)
Epoch: [26][8080/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6530 (2.5448)	Prec@1 38.500 (37.786)	Prec@5 65.500 (68.679)
Epoch: [26][8090/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5907 (2.5448)	Prec@1 35.000 (37.784)	Prec@5 68.500 (68.678)
Epoch: [26][8100/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3900 (2.5449)	Prec@1 40.500 (37.783)	Prec@5 69.000 (68.678)
Epoch: [26][8110/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4790 (2.5449)	Prec@1 37.500 (37.782)	Prec@5 69.500 (68.677)
Epoch: [26][8120/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5085 (2.5449)	Prec@1 41.000 (37.782)	Prec@5 67.500 (68.678)
Epoch: [26][8130/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5978 (2.5449)	Prec@1 39.500 (37.782)	Prec@5 67.500 (68.679)
Epoch: [26][8140/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5728 (2.5449)	Prec@1 38.000 (37.782)	Prec@5 69.000 (68.679)
Epoch: [26][8150/9018]	Time 0.648 (0.615)	Data 0.001 (0.001)	Loss 2.6167 (2.5449)	Prec@1 41.000 (37.782)	Prec@5 65.000 (68.678)
Epoch: [26][8160/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4086 (2.5450)	Prec@1 39.000 (37.782)	Prec@5 73.000 (68.677)
Epoch: [26][8170/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6155 (2.5450)	Prec@1 39.000 (37.780)	Prec@5 72.500 (68.677)
Epoch: [26][8180/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6243 (2.5450)	Prec@1 35.500 (37.781)	Prec@5 68.500 (68.677)
Epoch: [26][8190/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4588 (2.5451)	Prec@1 37.500 (37.780)	Prec@5 71.500 (68.676)
Epoch: [26][8200/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7157 (2.5451)	Prec@1 36.000 (37.779)	Prec@5 64.000 (68.675)
Epoch: [26][8210/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4533 (2.5450)	Prec@1 43.000 (37.780)	Prec@5 68.500 (68.676)
Epoch: [26][8220/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5273 (2.5450)	Prec@1 41.000 (37.782)	Prec@5 71.500 (68.679)
Epoch: [26][8230/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5075 (2.5449)	Prec@1 46.000 (37.784)	Prec@5 67.500 (68.679)
Epoch: [26][8240/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5445 (2.5450)	Prec@1 35.500 (37.782)	Prec@5 69.000 (68.677)
Epoch: [26][8250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6303 (2.5450)	Prec@1 36.500 (37.781)	Prec@5 66.000 (68.675)
Epoch: [26][8260/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6145 (2.5450)	Prec@1 38.500 (37.781)	Prec@5 69.500 (68.675)
Epoch: [26][8270/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5752 (2.5451)	Prec@1 36.500 (37.781)	Prec@5 66.000 (68.673)
Epoch: [26][8280/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5152 (2.5451)	Prec@1 39.000 (37.783)	Prec@5 68.000 (68.673)
Epoch: [26][8290/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4594 (2.5451)	Prec@1 40.000 (37.782)	Prec@5 69.500 (68.671)
Epoch: [26][8300/9018]	Time 0.694 (0.615)	Data 0.001 (0.001)	Loss 2.3728 (2.5450)	Prec@1 44.500 (37.782)	Prec@5 69.000 (68.672)
Epoch: [26][8310/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5746 (2.5451)	Prec@1 34.500 (37.783)	Prec@5 66.500 (68.671)
Epoch: [26][8320/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4730 (2.5450)	Prec@1 36.000 (37.783)	Prec@5 71.000 (68.671)
Epoch: [26][8330/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5066 (2.5450)	Prec@1 36.500 (37.782)	Prec@5 70.500 (68.672)
Epoch: [26][8340/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.4302 (2.5450)	Prec@1 39.500 (37.782)	Prec@5 68.000 (68.673)
Epoch: [26][8350/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.4238 (2.5449)	Prec@1 46.000 (37.785)	Prec@5 70.500 (68.673)
Epoch: [26][8360/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6928 (2.5449)	Prec@1 34.500 (37.784)	Prec@5 67.500 (68.674)
Epoch: [26][8370/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5410 (2.5449)	Prec@1 39.000 (37.784)	Prec@5 69.500 (68.674)
Epoch: [26][8380/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.3947 (2.5450)	Prec@1 36.500 (37.783)	Prec@5 69.000 (68.672)
Epoch: [26][8390/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5298 (2.5449)	Prec@1 42.500 (37.783)	Prec@5 71.500 (68.675)
Epoch: [26][8400/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3924 (2.5449)	Prec@1 36.000 (37.783)	Prec@5 71.000 (68.675)
Epoch: [26][8410/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6444 (2.5450)	Prec@1 41.000 (37.782)	Prec@5 63.000 (68.673)
Epoch: [26][8420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6584 (2.5451)	Prec@1 32.000 (37.781)	Prec@5 65.000 (68.670)
Epoch: [26][8430/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5264 (2.5450)	Prec@1 37.000 (37.781)	Prec@5 68.500 (68.669)
Epoch: [26][8440/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5460 (2.5451)	Prec@1 35.500 (37.779)	Prec@5 68.000 (68.668)
Epoch: [26][8450/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.7143 (2.5451)	Prec@1 35.500 (37.777)	Prec@5 62.000 (68.667)
Epoch: [26][8460/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4201 (2.5451)	Prec@1 38.500 (37.778)	Prec@5 69.500 (68.667)
Epoch: [26][8470/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6450 (2.5450)	Prec@1 37.000 (37.780)	Prec@5 67.000 (68.669)
Epoch: [26][8480/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5402 (2.5450)	Prec@1 37.000 (37.779)	Prec@5 70.000 (68.668)
Epoch: [26][8490/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4368 (2.5451)	Prec@1 39.500 (37.778)	Prec@5 70.500 (68.665)
Epoch: [26][8500/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4407 (2.5451)	Prec@1 38.500 (37.781)	Prec@5 69.500 (68.665)
Epoch: [26][8510/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4260 (2.5451)	Prec@1 41.000 (37.782)	Prec@5 73.500 (68.666)
Epoch: [26][8520/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3119 (2.5451)	Prec@1 41.000 (37.781)	Prec@5 70.500 (68.665)
Epoch: [26][8530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4987 (2.5451)	Prec@1 38.500 (37.780)	Prec@5 70.000 (68.664)
Epoch: [26][8540/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5026 (2.5450)	Prec@1 38.000 (37.782)	Prec@5 71.500 (68.665)
Epoch: [26][8550/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4618 (2.5450)	Prec@1 40.000 (37.784)	Prec@5 73.000 (68.667)
Epoch: [26][8560/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5467 (2.5449)	Prec@1 40.000 (37.785)	Prec@5 64.500 (68.667)
Epoch: [26][8570/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6647 (2.5450)	Prec@1 31.500 (37.784)	Prec@5 68.000 (68.668)
Epoch: [26][8580/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5355 (2.5450)	Prec@1 41.000 (37.785)	Prec@5 68.000 (68.667)
Epoch: [26][8590/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4855 (2.5450)	Prec@1 42.500 (37.784)	Prec@5 70.000 (68.668)
Epoch: [26][8600/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5638 (2.5451)	Prec@1 34.000 (37.782)	Prec@5 67.500 (68.666)
Epoch: [26][8610/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7150 (2.5452)	Prec@1 33.000 (37.781)	Prec@5 64.500 (68.664)
Epoch: [26][8620/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5016 (2.5451)	Prec@1 39.500 (37.782)	Prec@5 68.500 (68.665)
Epoch: [26][8630/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.4584 (2.5452)	Prec@1 38.000 (37.781)	Prec@5 73.000 (68.664)
Epoch: [26][8640/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4604 (2.5452)	Prec@1 37.000 (37.781)	Prec@5 71.000 (68.664)
Epoch: [26][8650/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4652 (2.5452)	Prec@1 39.000 (37.782)	Prec@5 70.500 (68.664)
Epoch: [26][8660/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5504 (2.5451)	Prec@1 42.000 (37.784)	Prec@5 69.000 (68.665)
Epoch: [26][8670/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4624 (2.5451)	Prec@1 39.000 (37.783)	Prec@5 70.500 (68.665)
Epoch: [26][8680/9018]	Time 0.756 (0.615)	Data 0.001 (0.001)	Loss 2.5315 (2.5452)	Prec@1 34.500 (37.783)	Prec@5 68.500 (68.663)
Epoch: [26][8690/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8386 (2.5452)	Prec@1 35.000 (37.783)	Prec@5 63.500 (68.662)
Epoch: [26][8700/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7825 (2.5452)	Prec@1 35.000 (37.784)	Prec@5 63.500 (68.661)
Epoch: [26][8710/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4917 (2.5452)	Prec@1 36.500 (37.785)	Prec@5 68.000 (68.661)
Epoch: [26][8720/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.3148 (2.5451)	Prec@1 39.500 (37.785)	Prec@5 76.000 (68.662)
Epoch: [26][8730/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6251 (2.5451)	Prec@1 39.500 (37.787)	Prec@5 66.500 (68.663)
Epoch: [26][8740/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5513 (2.5450)	Prec@1 36.000 (37.788)	Prec@5 68.000 (68.665)
Epoch: [26][8750/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4806 (2.5450)	Prec@1 41.500 (37.789)	Prec@5 70.000 (68.665)
Epoch: [26][8760/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4430 (2.5449)	Prec@1 40.500 (37.790)	Prec@5 70.500 (68.667)
Epoch: [26][8770/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5340 (2.5449)	Prec@1 38.500 (37.789)	Prec@5 66.500 (68.667)
Epoch: [26][8780/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5737 (2.5450)	Prec@1 33.000 (37.786)	Prec@5 68.000 (68.666)
Epoch: [26][8790/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6173 (2.5451)	Prec@1 35.500 (37.785)	Prec@5 66.500 (68.663)
Epoch: [26][8800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4660 (2.5451)	Prec@1 38.000 (37.782)	Prec@5 66.000 (68.660)
Epoch: [26][8810/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4673 (2.5452)	Prec@1 39.500 (37.781)	Prec@5 68.500 (68.659)
Epoch: [26][8820/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5715 (2.5453)	Prec@1 39.000 (37.781)	Prec@5 70.000 (68.657)
Epoch: [26][8830/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5168 (2.5453)	Prec@1 41.000 (37.781)	Prec@5 72.000 (68.658)
Epoch: [26][8840/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3953 (2.5452)	Prec@1 37.500 (37.782)	Prec@5 70.000 (68.660)
Epoch: [26][8850/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6060 (2.5452)	Prec@1 34.500 (37.781)	Prec@5 66.000 (68.661)
Epoch: [26][8860/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3470 (2.5452)	Prec@1 43.500 (37.781)	Prec@5 72.000 (68.661)
Epoch: [26][8870/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3999 (2.5452)	Prec@1 39.000 (37.778)	Prec@5 70.000 (68.663)
Epoch: [26][8880/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7230 (2.5452)	Prec@1 31.500 (37.777)	Prec@5 62.500 (68.662)
Epoch: [26][8890/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3724 (2.5451)	Prec@1 46.000 (37.780)	Prec@5 72.000 (68.664)
Epoch: [26][8900/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5013 (2.5452)	Prec@1 37.500 (37.779)	Prec@5 70.000 (68.664)
Epoch: [26][8910/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6002 (2.5451)	Prec@1 35.000 (37.781)	Prec@5 67.500 (68.666)
Epoch: [26][8920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7190 (2.5452)	Prec@1 39.000 (37.781)	Prec@5 66.000 (68.665)
Epoch: [26][8930/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5108 (2.5452)	Prec@1 40.000 (37.781)	Prec@5 68.000 (68.664)
Epoch: [26][8940/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4622 (2.5452)	Prec@1 42.000 (37.781)	Prec@5 70.500 (68.664)
Epoch: [26][8950/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5139 (2.5452)	Prec@1 39.000 (37.781)	Prec@5 70.500 (68.664)
Epoch: [26][8960/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.5547 (2.5452)	Prec@1 37.500 (37.781)	Prec@5 72.000 (68.665)
Epoch: [26][8970/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6237 (2.5453)	Prec@1 35.500 (37.782)	Prec@5 67.500 (68.664)
Epoch: [26][8980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6254 (2.5452)	Prec@1 39.000 (37.782)	Prec@5 68.000 (68.664)
Epoch: [26][8990/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3900 (2.5452)	Prec@1 42.500 (37.783)	Prec@5 72.500 (68.664)
Epoch: [26][9000/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2932 (2.5452)	Prec@1 42.500 (37.784)	Prec@5 70.500 (68.663)
Epoch: [26][9010/9018]	Time 0.748 (0.615)	Data 0.000 (0.001)	Loss 2.1858 (2.5452)	Prec@1 42.500 (37.784)	Prec@5 73.000 (68.663)
Test: [0/183]	Time 1.325 (1.325)	Loss 3.4923 (3.4923)	Prec@1 16.500 (16.500)	Prec@5 48.000 (48.000)
Test: [10/183]	Time 0.192 (0.306)	Loss 2.1571 (2.2489)	Prec@1 50.500 (42.818)	Prec@5 74.000 (74.818)
Test: [20/183]	Time 0.187 (0.253)	Loss 2.4952 (2.2253)	Prec@1 38.500 (43.690)	Prec@5 75.500 (75.857)
Test: [30/183]	Time 0.191 (0.234)	Loss 3.0360 (2.2464)	Prec@1 15.500 (42.323)	Prec@5 63.500 (75.500)
Test: [40/183]	Time 0.192 (0.223)	Loss 2.9268 (2.2765)	Prec@1 25.000 (42.378)	Prec@5 62.000 (74.390)
Test: [50/183]	Time 0.194 (0.220)	Loss 2.5867 (2.3063)	Prec@1 33.000 (41.922)	Prec@5 72.000 (73.627)
Test: [60/183]	Time 0.188 (0.216)	Loss 3.2016 (2.3426)	Prec@1 26.000 (40.779)	Prec@5 63.500 (73.139)
Test: [70/183]	Time 0.198 (0.212)	Loss 2.3589 (2.3341)	Prec@1 37.500 (40.683)	Prec@5 76.000 (73.542)
Test: [80/183]	Time 0.180 (0.211)	Loss 2.1381 (2.3174)	Prec@1 43.500 (41.012)	Prec@5 80.000 (73.728)
Test: [90/183]	Time 0.191 (0.208)	Loss 2.1678 (2.3012)	Prec@1 41.000 (41.324)	Prec@5 77.500 (74.055)
Test: [100/183]	Time 0.184 (0.207)	Loss 1.1827 (2.2888)	Prec@1 65.000 (41.693)	Prec@5 92.000 (74.248)
Test: [110/183]	Time 0.189 (0.206)	Loss 0.6087 (2.2787)	Prec@1 87.000 (41.977)	Prec@5 96.500 (74.324)
Test: [120/183]	Time 0.184 (0.205)	Loss 2.6224 (2.2670)	Prec@1 42.500 (42.161)	Prec@5 64.000 (74.583)
Test: [130/183]	Time 0.185 (0.204)	Loss 3.6181 (2.2689)	Prec@1 10.000 (42.031)	Prec@5 46.500 (74.538)
Test: [140/183]	Time 0.183 (0.203)	Loss 2.8441 (2.2631)	Prec@1 35.500 (42.227)	Prec@5 59.500 (74.621)
Test: [150/183]	Time 0.186 (0.203)	Loss 1.4338 (2.2575)	Prec@1 66.500 (42.404)	Prec@5 91.000 (74.821)
Test: [160/183]	Time 0.188 (0.202)	Loss 1.8210 (2.2652)	Prec@1 50.500 (42.255)	Prec@5 78.000 (74.609)
Test: [170/183]	Time 0.179 (0.201)	Loss 2.8048 (2.2825)	Prec@1 15.000 (41.848)	Prec@5 65.500 (74.216)
Test: [180/183]	Time 0.188 (0.201)	Loss 2.4546 (2.2977)	Prec@1 25.500 (41.544)	Prec@5 73.500 (73.917)
 * Prec@1 41.449 Prec@5 73.849
Epoch: [27][0/9018]	Time 2.838 (2.838)	Data 2.207 (2.207)	Loss 2.4761 (2.4761)	Prec@1 40.000 (40.000)	Prec@5 69.000 (69.000)
Epoch: [27][10/9018]	Time 0.593 (0.815)	Data 0.001 (0.201)	Loss 2.5957 (2.5574)	Prec@1 39.500 (37.909)	Prec@5 69.500 (68.636)
Epoch: [27][20/9018]	Time 0.590 (0.710)	Data 0.001 (0.106)	Loss 2.5723 (2.5426)	Prec@1 36.000 (38.071)	Prec@5 70.500 (69.024)
Epoch: [27][30/9018]	Time 0.606 (0.678)	Data 0.001 (0.072)	Loss 2.6976 (2.5527)	Prec@1 32.500 (37.984)	Prec@5 68.000 (68.758)
Epoch: [27][40/9018]	Time 0.723 (0.665)	Data 0.001 (0.055)	Loss 2.1821 (2.5401)	Prec@1 46.500 (38.183)	Prec@5 72.000 (69.012)
Epoch: [27][50/9018]	Time 0.627 (0.653)	Data 0.001 (0.044)	Loss 2.8117 (2.5443)	Prec@1 33.000 (38.088)	Prec@5 66.500 (68.971)
Epoch: [27][60/9018]	Time 0.592 (0.650)	Data 0.001 (0.037)	Loss 2.4349 (2.5469)	Prec@1 38.500 (37.910)	Prec@5 71.500 (69.000)
Epoch: [27][70/9018]	Time 0.605 (0.642)	Data 0.001 (0.032)	Loss 2.3828 (2.5476)	Prec@1 40.500 (37.683)	Prec@5 73.000 (69.218)
Epoch: [27][80/9018]	Time 0.619 (0.639)	Data 0.001 (0.028)	Loss 2.5737 (2.5440)	Prec@1 39.500 (37.753)	Prec@5 67.500 (69.198)
Epoch: [27][90/9018]	Time 0.711 (0.637)	Data 0.001 (0.025)	Loss 2.6001 (2.5421)	Prec@1 36.500 (37.676)	Prec@5 65.500 (69.159)
Epoch: [27][100/9018]	Time 0.603 (0.634)	Data 0.001 (0.023)	Loss 2.4215 (2.5423)	Prec@1 38.000 (37.658)	Prec@5 71.500 (69.089)
Epoch: [27][110/9018]	Time 0.609 (0.634)	Data 0.001 (0.021)	Loss 2.2837 (2.5389)	Prec@1 43.500 (37.797)	Prec@5 78.000 (69.131)
Epoch: [27][120/9018]	Time 0.615 (0.631)	Data 0.001 (0.019)	Loss 2.5841 (2.5313)	Prec@1 33.500 (38.017)	Prec@5 68.000 (69.178)
Epoch: [27][130/9018]	Time 0.608 (0.630)	Data 0.001 (0.018)	Loss 2.4419 (2.5297)	Prec@1 43.500 (38.076)	Prec@5 73.500 (69.149)
Epoch: [27][140/9018]	Time 0.600 (0.629)	Data 0.001 (0.016)	Loss 2.6621 (2.5331)	Prec@1 35.500 (38.043)	Prec@5 66.500 (69.074)
Epoch: [27][150/9018]	Time 0.595 (0.628)	Data 0.001 (0.015)	Loss 2.2723 (2.5359)	Prec@1 41.000 (38.026)	Prec@5 78.000 (69.060)
Epoch: [27][160/9018]	Time 0.615 (0.627)	Data 0.001 (0.014)	Loss 2.5079 (2.5352)	Prec@1 39.500 (38.121)	Prec@5 69.500 (68.957)
Epoch: [27][170/9018]	Time 0.606 (0.626)	Data 0.001 (0.014)	Loss 2.4665 (2.5357)	Prec@1 42.000 (38.193)	Prec@5 68.500 (68.930)
Epoch: [27][180/9018]	Time 0.607 (0.625)	Data 0.001 (0.013)	Loss 2.5964 (2.5329)	Prec@1 38.500 (38.249)	Prec@5 68.500 (69.039)
Epoch: [27][190/9018]	Time 0.609 (0.625)	Data 0.001 (0.012)	Loss 2.6486 (2.5357)	Prec@1 35.500 (38.154)	Prec@5 68.000 (69.052)
Epoch: [27][200/9018]	Time 0.630 (0.624)	Data 0.001 (0.012)	Loss 2.5096 (2.5353)	Prec@1 38.000 (38.169)	Prec@5 69.500 (69.030)
Epoch: [27][210/9018]	Time 0.594 (0.624)	Data 0.001 (0.011)	Loss 2.5155 (2.5324)	Prec@1 33.500 (38.142)	Prec@5 70.000 (69.081)
Epoch: [27][220/9018]	Time 0.600 (0.623)	Data 0.001 (0.011)	Loss 2.5551 (2.5365)	Prec@1 35.500 (38.068)	Prec@5 67.500 (68.964)
Epoch: [27][230/9018]	Time 0.599 (0.623)	Data 0.001 (0.010)	Loss 2.3654 (2.5339)	Prec@1 41.000 (38.113)	Prec@5 72.500 (69.024)
Epoch: [27][240/9018]	Time 0.605 (0.623)	Data 0.001 (0.010)	Loss 2.6931 (2.5337)	Prec@1 34.000 (38.127)	Prec@5 68.500 (69.044)
Epoch: [27][250/9018]	Time 0.628 (0.622)	Data 0.001 (0.010)	Loss 2.4111 (2.5333)	Prec@1 39.500 (38.137)	Prec@5 69.500 (69.028)
Epoch: [27][260/9018]	Time 0.594 (0.622)	Data 0.001 (0.009)	Loss 2.5888 (2.5320)	Prec@1 39.500 (38.197)	Prec@5 66.500 (68.981)
Epoch: [27][270/9018]	Time 0.595 (0.622)	Data 0.001 (0.009)	Loss 2.5153 (2.5318)	Prec@1 41.000 (38.183)	Prec@5 64.000 (68.982)
Epoch: [27][280/9018]	Time 0.627 (0.622)	Data 0.001 (0.009)	Loss 2.6622 (2.5290)	Prec@1 39.000 (38.237)	Prec@5 64.500 (69.039)
Epoch: [27][290/9018]	Time 0.631 (0.622)	Data 0.001 (0.008)	Loss 2.5124 (2.5303)	Prec@1 35.500 (38.165)	Prec@5 68.000 (69.000)
Epoch: [27][300/9018]	Time 0.601 (0.622)	Data 0.001 (0.008)	Loss 2.4474 (2.5289)	Prec@1 39.000 (38.138)	Prec@5 72.000 (69.060)
Epoch: [27][310/9018]	Time 0.613 (0.622)	Data 0.001 (0.008)	Loss 2.4255 (2.5308)	Prec@1 39.500 (38.114)	Prec@5 70.000 (69.016)
Epoch: [27][320/9018]	Time 0.639 (0.621)	Data 0.001 (0.008)	Loss 2.7050 (2.5327)	Prec@1 35.000 (38.069)	Prec@5 67.500 (68.992)
Epoch: [27][330/9018]	Time 0.593 (0.621)	Data 0.001 (0.007)	Loss 2.4485 (2.5322)	Prec@1 36.500 (38.085)	Prec@5 71.000 (68.994)
Epoch: [27][340/9018]	Time 0.618 (0.621)	Data 0.001 (0.007)	Loss 2.5510 (2.5317)	Prec@1 37.500 (38.062)	Prec@5 70.000 (69.019)
Epoch: [27][350/9018]	Time 0.615 (0.621)	Data 0.001 (0.007)	Loss 2.3929 (2.5313)	Prec@1 44.500 (38.057)	Prec@5 71.500 (69.043)
Epoch: [27][360/9018]	Time 0.599 (0.621)	Data 0.001 (0.007)	Loss 2.4483 (2.5330)	Prec@1 37.000 (38.055)	Prec@5 71.000 (69.022)
Epoch: [27][370/9018]	Time 0.724 (0.621)	Data 0.001 (0.007)	Loss 2.6070 (2.5340)	Prec@1 37.500 (38.050)	Prec@5 66.500 (68.989)
Epoch: [27][380/9018]	Time 0.633 (0.620)	Data 0.001 (0.007)	Loss 2.6436 (2.5342)	Prec@1 37.000 (38.026)	Prec@5 67.000 (68.979)
Epoch: [27][390/9018]	Time 0.603 (0.620)	Data 0.001 (0.006)	Loss 2.3134 (2.5330)	Prec@1 45.000 (38.040)	Prec@5 71.000 (68.996)
Epoch: [27][400/9018]	Time 0.620 (0.620)	Data 0.001 (0.006)	Loss 2.5155 (2.5349)	Prec@1 39.500 (38.027)	Prec@5 69.000 (68.929)
Epoch: [27][410/9018]	Time 0.600 (0.620)	Data 0.001 (0.006)	Loss 2.4430 (2.5345)	Prec@1 40.500 (38.004)	Prec@5 70.000 (68.933)
Epoch: [27][420/9018]	Time 0.738 (0.620)	Data 0.001 (0.006)	Loss 2.4963 (2.5343)	Prec@1 36.500 (38.006)	Prec@5 70.500 (68.926)
Epoch: [27][430/9018]	Time 0.615 (0.619)	Data 0.001 (0.006)	Loss 2.7222 (2.5341)	Prec@1 35.500 (38.016)	Prec@5 65.000 (68.921)
Epoch: [27][440/9018]	Time 0.602 (0.620)	Data 0.001 (0.006)	Loss 2.5065 (2.5321)	Prec@1 41.000 (38.046)	Prec@5 71.000 (68.956)
Epoch: [27][450/9018]	Time 0.635 (0.619)	Data 0.003 (0.006)	Loss 2.6663 (2.5316)	Prec@1 32.000 (38.042)	Prec@5 65.500 (68.979)
Epoch: [27][460/9018]	Time 0.599 (0.619)	Data 0.001 (0.006)	Loss 2.4350 (2.5320)	Prec@1 37.500 (38.030)	Prec@5 68.500 (68.986)
Epoch: [27][470/9018]	Time 0.595 (0.619)	Data 0.001 (0.005)	Loss 2.7671 (2.5343)	Prec@1 34.500 (37.997)	Prec@5 65.000 (68.932)
Epoch: [27][480/9018]	Time 0.609 (0.619)	Data 0.001 (0.005)	Loss 2.4236 (2.5355)	Prec@1 43.000 (37.973)	Prec@5 73.000 (68.905)
Epoch: [27][490/9018]	Time 0.630 (0.619)	Data 0.001 (0.005)	Loss 2.6228 (2.5350)	Prec@1 35.000 (37.990)	Prec@5 63.000 (68.904)
Epoch: [27][500/9018]	Time 0.615 (0.619)	Data 0.001 (0.005)	Loss 2.7948 (2.5341)	Prec@1 34.500 (37.998)	Prec@5 65.000 (68.934)
Epoch: [27][510/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 2.6223 (2.5349)	Prec@1 30.000 (37.941)	Prec@5 69.500 (68.930)
Epoch: [27][520/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 2.6270 (2.5353)	Prec@1 32.500 (37.945)	Prec@5 67.000 (68.916)
Epoch: [27][530/9018]	Time 0.595 (0.619)	Data 0.001 (0.005)	Loss 2.4331 (2.5342)	Prec@1 39.500 (37.973)	Prec@5 69.500 (68.926)
Epoch: [27][540/9018]	Time 0.589 (0.619)	Data 0.001 (0.005)	Loss 2.4441 (2.5340)	Prec@1 40.000 (37.994)	Prec@5 72.000 (68.931)
Epoch: [27][550/9018]	Time 0.609 (0.618)	Data 0.001 (0.005)	Loss 2.4076 (2.5333)	Prec@1 40.500 (37.993)	Prec@5 70.000 (68.934)
Epoch: [27][560/9018]	Time 0.604 (0.618)	Data 0.001 (0.005)	Loss 2.6663 (2.5331)	Prec@1 39.000 (37.999)	Prec@5 66.500 (68.925)
Epoch: [27][570/9018]	Time 0.592 (0.618)	Data 0.001 (0.005)	Loss 2.5206 (2.5328)	Prec@1 35.500 (37.989)	Prec@5 68.500 (68.916)
Epoch: [27][580/9018]	Time 0.606 (0.618)	Data 0.001 (0.005)	Loss 2.5221 (2.5311)	Prec@1 38.500 (38.021)	Prec@5 70.000 (68.954)
Epoch: [27][590/9018]	Time 0.610 (0.618)	Data 0.001 (0.005)	Loss 2.3215 (2.5306)	Prec@1 44.000 (38.038)	Prec@5 73.500 (68.978)
Epoch: [27][600/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 2.5738 (2.5312)	Prec@1 36.500 (38.005)	Prec@5 68.000 (68.973)
Epoch: [27][610/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.5185 (2.5310)	Prec@1 38.500 (38.006)	Prec@5 68.000 (68.987)
Epoch: [27][620/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 2.4521 (2.5307)	Prec@1 43.500 (38.023)	Prec@5 71.500 (69.005)
Epoch: [27][630/9018]	Time 0.642 (0.618)	Data 0.001 (0.004)	Loss 2.5039 (2.5303)	Prec@1 38.500 (38.028)	Prec@5 69.000 (69.010)
Epoch: [27][640/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 2.4330 (2.5301)	Prec@1 38.500 (38.040)	Prec@5 73.500 (69.022)
Epoch: [27][650/9018]	Time 0.634 (0.618)	Data 0.001 (0.004)	Loss 2.6338 (2.5305)	Prec@1 36.500 (38.023)	Prec@5 68.000 (69.017)
Epoch: [27][660/9018]	Time 0.591 (0.618)	Data 0.001 (0.004)	Loss 2.4326 (2.5299)	Prec@1 40.500 (38.030)	Prec@5 69.000 (69.024)
Epoch: [27][670/9018]	Time 0.633 (0.618)	Data 0.001 (0.004)	Loss 2.6515 (2.5289)	Prec@1 37.000 (38.056)	Prec@5 69.000 (69.046)
Epoch: [27][680/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.4249 (2.5298)	Prec@1 44.500 (38.053)	Prec@5 71.500 (69.030)
Epoch: [27][690/9018]	Time 0.634 (0.618)	Data 0.001 (0.004)	Loss 2.7504 (2.5303)	Prec@1 39.000 (38.043)	Prec@5 64.000 (68.995)
Epoch: [27][700/9018]	Time 0.750 (0.618)	Data 0.001 (0.004)	Loss 2.5252 (2.5310)	Prec@1 37.500 (38.026)	Prec@5 68.000 (68.981)
Epoch: [27][710/9018]	Time 0.614 (0.618)	Data 0.001 (0.004)	Loss 2.2608 (2.5311)	Prec@1 45.500 (38.035)	Prec@5 75.000 (68.966)
Epoch: [27][720/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 2.7059 (2.5309)	Prec@1 32.500 (38.040)	Prec@5 69.000 (68.988)
Epoch: [27][730/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.5489 (2.5314)	Prec@1 37.000 (38.044)	Prec@5 68.000 (68.968)
Epoch: [27][740/9018]	Time 0.594 (0.617)	Data 0.001 (0.004)	Loss 2.6400 (2.5314)	Prec@1 32.500 (38.039)	Prec@5 67.000 (68.967)
Epoch: [27][750/9018]	Time 0.728 (0.617)	Data 0.001 (0.004)	Loss 2.9612 (2.5324)	Prec@1 32.000 (38.027)	Prec@5 62.500 (68.942)
Epoch: [27][760/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.6240 (2.5322)	Prec@1 36.000 (38.037)	Prec@5 72.000 (68.960)
Epoch: [27][770/9018]	Time 0.589 (0.617)	Data 0.001 (0.004)	Loss 2.4708 (2.5324)	Prec@1 35.500 (38.030)	Prec@5 70.500 (68.953)
Epoch: [27][780/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.8109 (2.5330)	Prec@1 34.000 (38.019)	Prec@5 66.000 (68.946)
Epoch: [27][790/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.7880 (2.5332)	Prec@1 33.500 (38.018)	Prec@5 63.500 (68.933)
Epoch: [27][800/9018]	Time 0.608 (0.617)	Data 0.001 (0.004)	Loss 2.6540 (2.5330)	Prec@1 35.000 (38.034)	Prec@5 67.000 (68.939)
Epoch: [27][810/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.5838 (2.5335)	Prec@1 35.000 (38.014)	Prec@5 66.500 (68.941)
Epoch: [27][820/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.5427 (2.5332)	Prec@1 35.000 (38.014)	Prec@5 69.000 (68.939)
Epoch: [27][830/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 2.6359 (2.5333)	Prec@1 33.000 (38.005)	Prec@5 69.000 (68.934)
Epoch: [27][840/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.5650 (2.5337)	Prec@1 38.500 (37.986)	Prec@5 70.500 (68.939)
Epoch: [27][850/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.2952 (2.5334)	Prec@1 42.500 (37.981)	Prec@5 74.000 (68.951)
Epoch: [27][860/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.6856 (2.5332)	Prec@1 37.000 (38.006)	Prec@5 71.000 (68.972)
Epoch: [27][870/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.6545 (2.5344)	Prec@1 38.000 (37.997)	Prec@5 63.000 (68.951)
Epoch: [27][880/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.8746 (2.5345)	Prec@1 35.500 (37.994)	Prec@5 59.500 (68.944)
Epoch: [27][890/9018]	Time 0.632 (0.617)	Data 0.001 (0.003)	Loss 2.2768 (2.5349)	Prec@1 42.000 (37.984)	Prec@5 74.500 (68.942)
Epoch: [27][900/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.3960 (2.5344)	Prec@1 39.000 (37.987)	Prec@5 72.500 (68.948)
Epoch: [27][910/9018]	Time 0.622 (0.617)	Data 0.001 (0.003)	Loss 2.6789 (2.5350)	Prec@1 32.500 (37.980)	Prec@5 61.000 (68.937)
Epoch: [27][920/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.4211 (2.5352)	Prec@1 36.500 (37.965)	Prec@5 71.500 (68.941)
Epoch: [27][930/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.4210 (2.5350)	Prec@1 38.500 (37.969)	Prec@5 73.500 (68.951)
Epoch: [27][940/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 2.5065 (2.5357)	Prec@1 34.500 (37.958)	Prec@5 68.000 (68.929)
Epoch: [27][950/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.6317 (2.5355)	Prec@1 37.500 (37.965)	Prec@5 67.500 (68.928)
Epoch: [27][960/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.3484 (2.5342)	Prec@1 45.000 (37.985)	Prec@5 72.500 (68.946)
Epoch: [27][970/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.7377 (2.5347)	Prec@1 32.000 (37.975)	Prec@5 60.500 (68.929)
Epoch: [27][980/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.6225 (2.5346)	Prec@1 34.500 (37.976)	Prec@5 66.000 (68.920)
Epoch: [27][990/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 2.6570 (2.5349)	Prec@1 34.500 (37.964)	Prec@5 65.500 (68.917)
Epoch: [27][1000/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.5675 (2.5345)	Prec@1 38.500 (37.982)	Prec@5 63.000 (68.928)
Epoch: [27][1010/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.6082 (2.5345)	Prec@1 39.500 (37.993)	Prec@5 69.500 (68.919)
Epoch: [27][1020/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.4685 (2.5347)	Prec@1 40.000 (38.000)	Prec@5 73.000 (68.909)
Epoch: [27][1030/9018]	Time 0.733 (0.617)	Data 0.001 (0.003)	Loss 2.4729 (2.5347)	Prec@1 43.000 (37.992)	Prec@5 72.500 (68.909)
Epoch: [27][1040/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.4648 (2.5337)	Prec@1 37.000 (38.003)	Prec@5 68.500 (68.923)
Epoch: [27][1050/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.5567 (2.5339)	Prec@1 38.000 (38.002)	Prec@5 64.000 (68.926)
Epoch: [27][1060/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 2.4189 (2.5331)	Prec@1 39.500 (38.014)	Prec@5 68.500 (68.936)
Epoch: [27][1070/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.4399 (2.5331)	Prec@1 39.000 (38.011)	Prec@5 69.500 (68.935)
Epoch: [27][1080/9018]	Time 0.713 (0.617)	Data 0.001 (0.003)	Loss 2.6161 (2.5335)	Prec@1 37.000 (38.003)	Prec@5 63.000 (68.927)
Epoch: [27][1090/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.5604 (2.5339)	Prec@1 41.000 (37.998)	Prec@5 68.000 (68.917)
Epoch: [27][1100/9018]	Time 0.588 (0.616)	Data 0.001 (0.003)	Loss 2.6269 (2.5337)	Prec@1 33.000 (37.999)	Prec@5 65.000 (68.922)
Epoch: [27][1110/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 2.6511 (2.5341)	Prec@1 35.000 (38.003)	Prec@5 67.500 (68.914)
Epoch: [27][1120/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.6155 (2.5343)	Prec@1 38.500 (38.008)	Prec@5 67.500 (68.926)
Epoch: [27][1130/9018]	Time 0.590 (0.616)	Data 0.001 (0.003)	Loss 2.4559 (2.5337)	Prec@1 39.000 (38.018)	Prec@5 69.000 (68.928)
Epoch: [27][1140/9018]	Time 0.617 (0.616)	Data 0.001 (0.003)	Loss 2.5805 (2.5336)	Prec@1 36.500 (38.020)	Prec@5 68.500 (68.931)
Epoch: [27][1150/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.3802 (2.5335)	Prec@1 37.000 (38.024)	Prec@5 77.000 (68.936)
Epoch: [27][1160/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 2.3534 (2.5336)	Prec@1 44.500 (38.021)	Prec@5 69.500 (68.916)
Epoch: [27][1170/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 2.5862 (2.5331)	Prec@1 39.500 (38.032)	Prec@5 69.500 (68.921)
Epoch: [27][1180/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.6802 (2.5338)	Prec@1 33.000 (38.020)	Prec@5 66.500 (68.910)
Epoch: [27][1190/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.7176 (2.5337)	Prec@1 35.500 (38.016)	Prec@5 66.000 (68.911)
Epoch: [27][1200/9018]	Time 0.613 (0.616)	Data 0.001 (0.003)	Loss 2.5382 (2.5336)	Prec@1 36.500 (38.015)	Prec@5 68.500 (68.902)
Epoch: [27][1210/9018]	Time 0.637 (0.616)	Data 0.001 (0.003)	Loss 2.5519 (2.5333)	Prec@1 39.000 (38.025)	Prec@5 69.500 (68.910)
Epoch: [27][1220/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.3941 (2.5330)	Prec@1 43.000 (38.030)	Prec@5 73.000 (68.914)
Epoch: [27][1230/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.7700 (2.5333)	Prec@1 31.000 (38.018)	Prec@5 60.500 (68.908)
Epoch: [27][1240/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.6347 (2.5337)	Prec@1 33.500 (38.014)	Prec@5 64.500 (68.898)
Epoch: [27][1250/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 2.3420 (2.5334)	Prec@1 41.000 (38.025)	Prec@5 75.000 (68.907)
Epoch: [27][1260/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.4695 (2.5335)	Prec@1 37.500 (38.016)	Prec@5 70.500 (68.908)
Epoch: [27][1270/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.6574 (2.5333)	Prec@1 33.500 (38.013)	Prec@5 67.000 (68.914)
Epoch: [27][1280/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.4615 (2.5334)	Prec@1 37.000 (38.017)	Prec@5 72.500 (68.916)
Epoch: [27][1290/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.5584 (2.5334)	Prec@1 41.500 (38.016)	Prec@5 67.500 (68.919)
Epoch: [27][1300/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.3188 (2.5335)	Prec@1 39.000 (38.012)	Prec@5 74.000 (68.925)
Epoch: [27][1310/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.6825 (2.5337)	Prec@1 38.000 (38.016)	Prec@5 66.500 (68.923)
Epoch: [27][1320/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.4121 (2.5339)	Prec@1 41.000 (38.012)	Prec@5 73.500 (68.930)
Epoch: [27][1330/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4209 (2.5337)	Prec@1 35.500 (38.015)	Prec@5 69.500 (68.932)
Epoch: [27][1340/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.7021 (2.5337)	Prec@1 36.500 (38.019)	Prec@5 65.000 (68.933)
Epoch: [27][1350/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6875 (2.5335)	Prec@1 36.500 (38.033)	Prec@5 64.500 (68.933)
Epoch: [27][1360/9018]	Time 0.718 (0.616)	Data 0.001 (0.002)	Loss 2.3886 (2.5334)	Prec@1 44.500 (38.040)	Prec@5 72.000 (68.939)
Epoch: [27][1370/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.6135 (2.5337)	Prec@1 35.500 (38.039)	Prec@5 66.500 (68.932)
Epoch: [27][1380/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.5162 (2.5337)	Prec@1 37.000 (38.032)	Prec@5 67.000 (68.931)
Epoch: [27][1390/9018]	Time 0.645 (0.616)	Data 0.001 (0.002)	Loss 2.4479 (2.5341)	Prec@1 38.000 (38.032)	Prec@5 70.000 (68.925)
Epoch: [27][1400/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4049 (2.5338)	Prec@1 36.500 (38.046)	Prec@5 69.500 (68.929)
Epoch: [27][1410/9018]	Time 0.719 (0.616)	Data 0.001 (0.002)	Loss 2.5740 (2.5339)	Prec@1 41.000 (38.043)	Prec@5 67.000 (68.927)
Epoch: [27][1420/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4095 (2.5337)	Prec@1 39.500 (38.040)	Prec@5 70.000 (68.926)
Epoch: [27][1430/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.6322 (2.5339)	Prec@1 36.000 (38.032)	Prec@5 65.500 (68.925)
Epoch: [27][1440/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.5182 (2.5339)	Prec@1 38.000 (38.039)	Prec@5 68.000 (68.918)
Epoch: [27][1450/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4909 (2.5341)	Prec@1 36.000 (38.030)	Prec@5 68.500 (68.917)
Epoch: [27][1460/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.5707 (2.5341)	Prec@1 42.000 (38.032)	Prec@5 69.000 (68.923)
Epoch: [27][1470/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4964 (2.5342)	Prec@1 36.500 (38.026)	Prec@5 72.500 (68.921)
Epoch: [27][1480/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.3758 (2.5345)	Prec@1 42.000 (38.019)	Prec@5 74.000 (68.921)
Epoch: [27][1490/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.5077 (2.5345)	Prec@1 37.000 (38.024)	Prec@5 71.000 (68.919)
Epoch: [27][1500/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.5280 (2.5347)	Prec@1 37.500 (38.019)	Prec@5 66.500 (68.912)
Epoch: [27][1510/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7038 (2.5344)	Prec@1 35.500 (38.027)	Prec@5 69.500 (68.923)
Epoch: [27][1520/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.3743 (2.5343)	Prec@1 39.000 (38.033)	Prec@5 71.000 (68.919)
Epoch: [27][1530/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.3262 (2.5343)	Prec@1 42.500 (38.037)	Prec@5 75.500 (68.918)
Epoch: [27][1540/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.8325 (2.5347)	Prec@1 34.500 (38.027)	Prec@5 62.500 (68.911)
Epoch: [27][1550/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.6873 (2.5344)	Prec@1 36.000 (38.037)	Prec@5 66.500 (68.915)
Epoch: [27][1560/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.5171 (2.5345)	Prec@1 39.000 (38.042)	Prec@5 70.000 (68.908)
Epoch: [27][1570/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.4573 (2.5345)	Prec@1 40.500 (38.051)	Prec@5 70.000 (68.910)
Epoch: [27][1580/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5636 (2.5345)	Prec@1 41.500 (38.056)	Prec@5 67.500 (68.909)
Epoch: [27][1590/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.4173 (2.5339)	Prec@1 42.000 (38.068)	Prec@5 71.500 (68.917)
Epoch: [27][1600/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.5755 (2.5342)	Prec@1 36.500 (38.066)	Prec@5 67.500 (68.913)
Epoch: [27][1610/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.4466 (2.5340)	Prec@1 41.000 (38.075)	Prec@5 71.000 (68.921)
Epoch: [27][1620/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6043 (2.5340)	Prec@1 39.000 (38.073)	Prec@5 68.500 (68.916)
Epoch: [27][1630/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4546 (2.5336)	Prec@1 38.500 (38.085)	Prec@5 70.000 (68.922)
Epoch: [27][1640/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.6229 (2.5338)	Prec@1 37.500 (38.077)	Prec@5 67.000 (68.914)
Epoch: [27][1650/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.4334 (2.5339)	Prec@1 38.500 (38.079)	Prec@5 69.000 (68.913)
Epoch: [27][1660/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6176 (2.5341)	Prec@1 39.000 (38.070)	Prec@5 69.500 (68.906)
Epoch: [27][1670/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.4329 (2.5338)	Prec@1 36.500 (38.073)	Prec@5 72.500 (68.914)
Epoch: [27][1680/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5153 (2.5340)	Prec@1 38.000 (38.065)	Prec@5 68.000 (68.908)
Epoch: [27][1690/9018]	Time 0.731 (0.616)	Data 0.001 (0.002)	Loss 2.4961 (2.5339)	Prec@1 36.500 (38.060)	Prec@5 69.500 (68.905)
Epoch: [27][1700/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.3052 (2.5341)	Prec@1 44.000 (38.049)	Prec@5 71.000 (68.892)
Epoch: [27][1710/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.3826 (2.5341)	Prec@1 45.500 (38.045)	Prec@5 74.500 (68.894)
Epoch: [27][1720/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4248 (2.5341)	Prec@1 38.500 (38.045)	Prec@5 71.000 (68.896)
Epoch: [27][1730/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.6520 (2.5342)	Prec@1 35.500 (38.046)	Prec@5 67.500 (68.894)
Epoch: [27][1740/9018]	Time 0.717 (0.616)	Data 0.001 (0.002)	Loss 2.6343 (2.5343)	Prec@1 36.000 (38.042)	Prec@5 69.500 (68.898)
Epoch: [27][1750/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.4939 (2.5340)	Prec@1 44.000 (38.053)	Prec@5 70.500 (68.911)
Epoch: [27][1760/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5625 (2.5338)	Prec@1 35.500 (38.056)	Prec@5 72.000 (68.914)
Epoch: [27][1770/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.6231 (2.5339)	Prec@1 39.000 (38.050)	Prec@5 60.500 (68.911)
Epoch: [27][1780/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5981 (2.5342)	Prec@1 36.000 (38.036)	Prec@5 64.000 (68.907)
Epoch: [27][1790/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.4832 (2.5344)	Prec@1 41.000 (38.029)	Prec@5 71.000 (68.904)
Epoch: [27][1800/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5088 (2.5343)	Prec@1 38.000 (38.038)	Prec@5 65.000 (68.904)
Epoch: [27][1810/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6120 (2.5345)	Prec@1 35.000 (38.040)	Prec@5 66.500 (68.900)
Epoch: [27][1820/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.6749 (2.5340)	Prec@1 35.500 (38.044)	Prec@5 67.000 (68.907)
Epoch: [27][1830/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6827 (2.5341)	Prec@1 35.500 (38.041)	Prec@5 67.500 (68.901)
Epoch: [27][1840/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4995 (2.5342)	Prec@1 38.000 (38.038)	Prec@5 67.500 (68.899)
Epoch: [27][1850/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.4364 (2.5339)	Prec@1 36.500 (38.038)	Prec@5 70.000 (68.900)
Epoch: [27][1860/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.4667 (2.5339)	Prec@1 40.000 (38.040)	Prec@5 66.000 (68.895)
Epoch: [27][1870/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.3901 (2.5335)	Prec@1 44.000 (38.045)	Prec@5 70.000 (68.898)
Epoch: [27][1880/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.5165 (2.5334)	Prec@1 39.000 (38.045)	Prec@5 73.000 (68.900)
Epoch: [27][1890/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.6339 (2.5332)	Prec@1 34.500 (38.051)	Prec@5 66.000 (68.903)
Epoch: [27][1900/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.5168 (2.5334)	Prec@1 37.000 (38.047)	Prec@5 69.500 (68.910)
Epoch: [27][1910/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6585 (2.5333)	Prec@1 37.500 (38.053)	Prec@5 67.500 (68.913)
Epoch: [27][1920/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.5935 (2.5330)	Prec@1 38.000 (38.054)	Prec@5 68.500 (68.912)
Epoch: [27][1930/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5356 (2.5327)	Prec@1 37.500 (38.064)	Prec@5 69.500 (68.912)
Epoch: [27][1940/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.6941 (2.5331)	Prec@1 35.000 (38.063)	Prec@5 68.000 (68.903)
Epoch: [27][1950/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.5919 (2.5329)	Prec@1 34.500 (38.063)	Prec@5 67.000 (68.909)
Epoch: [27][1960/9018]	Time 0.609 (0.616)	Data 0.003 (0.002)	Loss 2.7784 (2.5334)	Prec@1 32.500 (38.053)	Prec@5 67.500 (68.895)
Epoch: [27][1970/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.6095 (2.5336)	Prec@1 35.500 (38.048)	Prec@5 68.000 (68.889)
Epoch: [27][1980/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3741 (2.5333)	Prec@1 37.000 (38.050)	Prec@5 72.000 (68.899)
Epoch: [27][1990/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.4580 (2.5335)	Prec@1 39.000 (38.039)	Prec@5 68.500 (68.900)
Epoch: [27][2000/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4768 (2.5338)	Prec@1 39.500 (38.034)	Prec@5 67.500 (68.893)
Epoch: [27][2010/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.3831 (2.5334)	Prec@1 43.500 (38.043)	Prec@5 74.500 (68.901)
Epoch: [27][2020/9018]	Time 0.727 (0.616)	Data 0.001 (0.002)	Loss 2.5632 (2.5333)	Prec@1 36.500 (38.043)	Prec@5 65.000 (68.896)
Epoch: [27][2030/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.5398 (2.5333)	Prec@1 40.000 (38.047)	Prec@5 68.000 (68.892)
Epoch: [27][2040/9018]	Time 0.638 (0.616)	Data 0.001 (0.002)	Loss 2.4667 (2.5332)	Prec@1 39.500 (38.050)	Prec@5 71.000 (68.895)
Epoch: [27][2050/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4121 (2.5333)	Prec@1 42.500 (38.048)	Prec@5 67.500 (68.888)
Epoch: [27][2060/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6015 (2.5334)	Prec@1 36.500 (38.048)	Prec@5 68.000 (68.886)
Epoch: [27][2070/9018]	Time 0.770 (0.616)	Data 0.001 (0.002)	Loss 2.6611 (2.5333)	Prec@1 38.500 (38.053)	Prec@5 64.500 (68.882)
Epoch: [27][2080/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4399 (2.5335)	Prec@1 40.000 (38.055)	Prec@5 70.500 (68.875)
Epoch: [27][2090/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.2703 (2.5335)	Prec@1 38.500 (38.052)	Prec@5 75.500 (68.876)
Epoch: [27][2100/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4680 (2.5336)	Prec@1 39.500 (38.056)	Prec@5 71.000 (68.875)
Epoch: [27][2110/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.5846 (2.5336)	Prec@1 37.000 (38.058)	Prec@5 69.500 (68.874)
Epoch: [27][2120/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.2537 (2.5335)	Prec@1 45.000 (38.063)	Prec@5 75.000 (68.878)
Epoch: [27][2130/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.5278 (2.5334)	Prec@1 40.000 (38.061)	Prec@5 71.000 (68.882)
Epoch: [27][2140/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5242 (2.5333)	Prec@1 39.000 (38.062)	Prec@5 70.000 (68.887)
Epoch: [27][2150/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.5026 (2.5332)	Prec@1 33.000 (38.063)	Prec@5 70.500 (68.890)
Epoch: [27][2160/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4205 (2.5333)	Prec@1 38.000 (38.059)	Prec@5 71.500 (68.888)
Epoch: [27][2170/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.4239 (2.5336)	Prec@1 42.500 (38.060)	Prec@5 73.500 (68.881)
Epoch: [27][2180/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6232 (2.5340)	Prec@1 38.500 (38.055)	Prec@5 68.500 (68.875)
Epoch: [27][2190/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6389 (2.5340)	Prec@1 35.000 (38.057)	Prec@5 65.000 (68.869)
Epoch: [27][2200/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.5469 (2.5342)	Prec@1 39.500 (38.063)	Prec@5 65.000 (68.861)
Epoch: [27][2210/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.5652 (2.5343)	Prec@1 38.000 (38.057)	Prec@5 67.000 (68.860)
Epoch: [27][2220/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.7294 (2.5345)	Prec@1 34.000 (38.053)	Prec@5 68.000 (68.859)
Epoch: [27][2230/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.4407 (2.5349)	Prec@1 42.500 (38.039)	Prec@5 69.000 (68.847)
Epoch: [27][2240/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4644 (2.5348)	Prec@1 41.500 (38.039)	Prec@5 69.000 (68.849)
Epoch: [27][2250/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.5994 (2.5347)	Prec@1 35.000 (38.039)	Prec@5 68.500 (68.852)
Epoch: [27][2260/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.2547 (2.5343)	Prec@1 41.000 (38.035)	Prec@5 74.000 (68.859)
Epoch: [27][2270/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4264 (2.5341)	Prec@1 35.500 (38.036)	Prec@5 72.500 (68.866)
Epoch: [27][2280/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.7428 (2.5341)	Prec@1 37.500 (38.032)	Prec@5 64.500 (68.865)
Epoch: [27][2290/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.7068 (2.5341)	Prec@1 36.500 (38.035)	Prec@5 63.500 (68.862)
Epoch: [27][2300/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.4172 (2.5343)	Prec@1 39.000 (38.032)	Prec@5 71.000 (68.860)
Epoch: [27][2310/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6142 (2.5344)	Prec@1 35.000 (38.027)	Prec@5 66.500 (68.858)
Epoch: [27][2320/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.5910 (2.5344)	Prec@1 32.500 (38.028)	Prec@5 69.000 (68.857)
Epoch: [27][2330/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.8722 (2.5344)	Prec@1 31.000 (38.021)	Prec@5 60.500 (68.856)
Epoch: [27][2340/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.2157 (2.5341)	Prec@1 47.000 (38.030)	Prec@5 73.500 (68.857)
Epoch: [27][2350/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 2.3452 (2.5341)	Prec@1 41.500 (38.032)	Prec@5 72.000 (68.856)
Epoch: [27][2360/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.4562 (2.5343)	Prec@1 41.500 (38.028)	Prec@5 73.500 (68.857)
Epoch: [27][2370/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.6573 (2.5343)	Prec@1 35.500 (38.022)	Prec@5 68.500 (68.856)
Epoch: [27][2380/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5664 (2.5344)	Prec@1 36.000 (38.021)	Prec@5 68.000 (68.853)
Epoch: [27][2390/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.8615 (2.5344)	Prec@1 29.500 (38.024)	Prec@5 62.000 (68.856)
Epoch: [27][2400/9018]	Time 0.744 (0.616)	Data 0.001 (0.002)	Loss 2.5317 (2.5345)	Prec@1 41.000 (38.029)	Prec@5 67.500 (68.853)
Epoch: [27][2410/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.8076 (2.5345)	Prec@1 36.500 (38.027)	Prec@5 64.500 (68.855)
Epoch: [27][2420/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2479 (2.5344)	Prec@1 41.500 (38.029)	Prec@5 76.500 (68.853)
Epoch: [27][2430/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.3240 (2.5340)	Prec@1 38.500 (38.034)	Prec@5 72.500 (68.865)
Epoch: [27][2440/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.5877 (2.5340)	Prec@1 37.000 (38.034)	Prec@5 68.000 (68.868)
Epoch: [27][2450/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6247 (2.5340)	Prec@1 34.500 (38.030)	Prec@5 65.000 (68.865)
Epoch: [27][2460/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6233 (2.5343)	Prec@1 38.000 (38.027)	Prec@5 66.500 (68.862)
Epoch: [27][2470/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5545 (2.5340)	Prec@1 37.000 (38.031)	Prec@5 68.000 (68.871)
Epoch: [27][2480/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.4914 (2.5344)	Prec@1 38.500 (38.023)	Prec@5 69.500 (68.866)
Epoch: [27][2490/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.2328 (2.5343)	Prec@1 41.500 (38.022)	Prec@5 77.500 (68.871)
Epoch: [27][2500/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6947 (2.5347)	Prec@1 36.500 (38.018)	Prec@5 65.500 (68.860)
Epoch: [27][2510/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5664 (2.5347)	Prec@1 38.500 (38.024)	Prec@5 71.500 (68.862)
Epoch: [27][2520/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5563 (2.5351)	Prec@1 35.000 (38.014)	Prec@5 66.000 (68.856)
Epoch: [27][2530/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4827 (2.5352)	Prec@1 39.000 (38.012)	Prec@5 72.000 (68.857)
Epoch: [27][2540/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3411 (2.5352)	Prec@1 39.500 (38.015)	Prec@5 69.500 (68.855)
Epoch: [27][2550/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.3719 (2.5352)	Prec@1 39.000 (38.013)	Prec@5 72.500 (68.854)
Epoch: [27][2560/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.4833 (2.5352)	Prec@1 40.000 (38.013)	Prec@5 68.500 (68.857)
Epoch: [27][2570/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.9319 (2.5354)	Prec@1 28.000 (38.004)	Prec@5 56.000 (68.849)
Epoch: [27][2580/9018]	Time 0.637 (0.616)	Data 0.001 (0.002)	Loss 2.6126 (2.5354)	Prec@1 37.000 (38.003)	Prec@5 68.000 (68.852)
Epoch: [27][2590/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4329 (2.5354)	Prec@1 34.500 (38.002)	Prec@5 72.500 (68.853)
Epoch: [27][2600/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.3308 (2.5348)	Prec@1 42.000 (38.011)	Prec@5 69.500 (68.863)
Epoch: [27][2610/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4977 (2.5348)	Prec@1 37.500 (38.013)	Prec@5 71.500 (68.861)
Epoch: [27][2620/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5255 (2.5350)	Prec@1 40.000 (38.013)	Prec@5 69.500 (68.862)
Epoch: [27][2630/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.5368 (2.5352)	Prec@1 39.500 (38.009)	Prec@5 67.000 (68.861)
Epoch: [27][2640/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.7490 (2.5354)	Prec@1 34.500 (38.007)	Prec@5 60.500 (68.858)
Epoch: [27][2650/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6916 (2.5352)	Prec@1 36.000 (38.012)	Prec@5 64.500 (68.860)
Epoch: [27][2660/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.3748 (2.5351)	Prec@1 37.000 (38.015)	Prec@5 69.500 (68.864)
Epoch: [27][2670/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.4507 (2.5349)	Prec@1 39.500 (38.021)	Prec@5 71.000 (68.875)
Epoch: [27][2680/9018]	Time 0.741 (0.616)	Data 0.001 (0.002)	Loss 2.5916 (2.5349)	Prec@1 37.500 (38.017)	Prec@5 67.500 (68.874)
Epoch: [27][2690/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.5518 (2.5348)	Prec@1 42.000 (38.015)	Prec@5 69.500 (68.876)
Epoch: [27][2700/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4416 (2.5345)	Prec@1 42.000 (38.021)	Prec@5 74.500 (68.883)
Epoch: [27][2710/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.3481 (2.5347)	Prec@1 38.000 (38.014)	Prec@5 72.500 (68.879)
Epoch: [27][2720/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.6347 (2.5348)	Prec@1 37.000 (38.010)	Prec@5 69.000 (68.886)
Epoch: [27][2730/9018]	Time 0.708 (0.616)	Data 0.001 (0.002)	Loss 2.4421 (2.5349)	Prec@1 40.000 (38.012)	Prec@5 70.500 (68.890)
Epoch: [27][2740/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.7204 (2.5352)	Prec@1 34.000 (38.005)	Prec@5 64.000 (68.883)
Epoch: [27][2750/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5653 (2.5357)	Prec@1 34.000 (38.001)	Prec@5 66.500 (68.870)
Epoch: [27][2760/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.5751 (2.5357)	Prec@1 43.000 (38.006)	Prec@5 64.500 (68.869)
Epoch: [27][2770/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.5350 (2.5359)	Prec@1 41.000 (38.000)	Prec@5 72.500 (68.863)
Epoch: [27][2780/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5399 (2.5362)	Prec@1 39.000 (37.990)	Prec@5 68.500 (68.860)
Epoch: [27][2790/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.4488 (2.5364)	Prec@1 37.000 (37.986)	Prec@5 67.500 (68.856)
Epoch: [27][2800/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.6415 (2.5365)	Prec@1 32.500 (37.980)	Prec@5 66.500 (68.851)
Epoch: [27][2810/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5879 (2.5365)	Prec@1 36.000 (37.975)	Prec@5 69.000 (68.848)
Epoch: [27][2820/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.7934 (2.5365)	Prec@1 28.500 (37.971)	Prec@5 62.500 (68.845)
Epoch: [27][2830/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.6683 (2.5366)	Prec@1 38.500 (37.971)	Prec@5 67.500 (68.844)
Epoch: [27][2840/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7672 (2.5366)	Prec@1 36.000 (37.976)	Prec@5 64.000 (68.841)
Epoch: [27][2850/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6728 (2.5368)	Prec@1 36.000 (37.974)	Prec@5 64.500 (68.836)
Epoch: [27][2860/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.6839 (2.5367)	Prec@1 34.000 (37.970)	Prec@5 68.500 (68.836)
Epoch: [27][2870/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.4735 (2.5367)	Prec@1 41.000 (37.971)	Prec@5 70.500 (68.835)
Epoch: [27][2880/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.6363 (2.5367)	Prec@1 34.500 (37.970)	Prec@5 67.500 (68.835)
Epoch: [27][2890/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.3494 (2.5368)	Prec@1 42.500 (37.970)	Prec@5 69.500 (68.834)
Epoch: [27][2900/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5686 (2.5370)	Prec@1 38.500 (37.964)	Prec@5 66.500 (68.829)
Epoch: [27][2910/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 2.6501 (2.5371)	Prec@1 39.500 (37.963)	Prec@5 65.500 (68.831)
Epoch: [27][2920/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.5668 (2.5371)	Prec@1 36.500 (37.961)	Prec@5 68.000 (68.826)
Epoch: [27][2930/9018]	Time 0.653 (0.616)	Data 0.001 (0.002)	Loss 2.8299 (2.5373)	Prec@1 34.000 (37.960)	Prec@5 62.500 (68.823)
Epoch: [27][2940/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5730 (2.5375)	Prec@1 39.000 (37.950)	Prec@5 70.000 (68.819)
Epoch: [27][2950/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.1811 (2.5374)	Prec@1 43.500 (37.952)	Prec@5 77.000 (68.823)
Epoch: [27][2960/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.6044 (2.5374)	Prec@1 37.000 (37.951)	Prec@5 66.000 (68.825)
Epoch: [27][2970/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3764 (2.5374)	Prec@1 39.500 (37.954)	Prec@5 69.500 (68.825)
Epoch: [27][2980/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4611 (2.5376)	Prec@1 39.000 (37.952)	Prec@5 70.500 (68.820)
Epoch: [27][2990/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.5190 (2.5376)	Prec@1 36.500 (37.950)	Prec@5 64.000 (68.817)
Epoch: [27][3000/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5440 (2.5374)	Prec@1 37.000 (37.950)	Prec@5 71.000 (68.818)
Epoch: [27][3010/9018]	Time 0.725 (0.616)	Data 0.001 (0.002)	Loss 2.6467 (2.5374)	Prec@1 40.000 (37.949)	Prec@5 64.000 (68.815)
Epoch: [27][3020/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.6124 (2.5374)	Prec@1 39.000 (37.951)	Prec@5 66.500 (68.813)
Epoch: [27][3030/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5874 (2.5377)	Prec@1 40.000 (37.948)	Prec@5 64.500 (68.808)
Epoch: [27][3040/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.6578 (2.5377)	Prec@1 37.000 (37.944)	Prec@5 66.500 (68.813)
Epoch: [27][3050/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.6965 (2.5377)	Prec@1 32.500 (37.942)	Prec@5 65.000 (68.811)
Epoch: [27][3060/9018]	Time 0.727 (0.616)	Data 0.001 (0.001)	Loss 2.3273 (2.5373)	Prec@1 43.000 (37.952)	Prec@5 71.000 (68.817)
Epoch: [27][3070/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.3844 (2.5374)	Prec@1 37.000 (37.951)	Prec@5 73.500 (68.817)
Epoch: [27][3080/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.6723 (2.5374)	Prec@1 41.000 (37.950)	Prec@5 68.500 (68.820)
Epoch: [27][3090/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.4398 (2.5374)	Prec@1 40.500 (37.953)	Prec@5 69.500 (68.817)
Epoch: [27][3100/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.4420 (2.5373)	Prec@1 36.000 (37.955)	Prec@5 66.000 (68.816)
Epoch: [27][3110/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.4485 (2.5375)	Prec@1 40.500 (37.947)	Prec@5 68.000 (68.813)
Epoch: [27][3120/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.5411 (2.5375)	Prec@1 37.000 (37.948)	Prec@5 72.000 (68.813)
Epoch: [27][3130/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.4205 (2.5374)	Prec@1 38.500 (37.952)	Prec@5 71.000 (68.813)
Epoch: [27][3140/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.6395 (2.5376)	Prec@1 34.500 (37.945)	Prec@5 65.500 (68.809)
Epoch: [27][3150/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.5300 (2.5377)	Prec@1 36.000 (37.944)	Prec@5 69.000 (68.811)
Epoch: [27][3160/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.4859 (2.5377)	Prec@1 42.500 (37.944)	Prec@5 67.500 (68.810)
Epoch: [27][3170/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.6939 (2.5377)	Prec@1 35.000 (37.947)	Prec@5 64.500 (68.810)
Epoch: [27][3180/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.4172 (2.5375)	Prec@1 40.500 (37.950)	Prec@5 71.000 (68.814)
Epoch: [27][3190/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.6969 (2.5376)	Prec@1 39.000 (37.953)	Prec@5 64.000 (68.812)
Epoch: [27][3200/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.3773 (2.5375)	Prec@1 41.000 (37.955)	Prec@5 73.500 (68.813)
Epoch: [27][3210/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.5611 (2.5374)	Prec@1 38.500 (37.954)	Prec@5 72.000 (68.816)
Epoch: [27][3220/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.8078 (2.5374)	Prec@1 35.500 (37.953)	Prec@5 64.000 (68.820)
Epoch: [27][3230/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.6644 (2.5374)	Prec@1 37.500 (37.952)	Prec@5 65.500 (68.822)
Epoch: [27][3240/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.5431 (2.5371)	Prec@1 36.500 (37.958)	Prec@5 69.000 (68.826)
Epoch: [27][3250/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.5666 (2.5373)	Prec@1 36.500 (37.955)	Prec@5 69.000 (68.820)
Epoch: [27][3260/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.7274 (2.5373)	Prec@1 37.000 (37.956)	Prec@5 68.000 (68.825)
Epoch: [27][3270/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.3830 (2.5374)	Prec@1 40.000 (37.952)	Prec@5 70.500 (68.824)
Epoch: [27][3280/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.4349 (2.5373)	Prec@1 40.500 (37.954)	Prec@5 68.000 (68.826)
Epoch: [27][3290/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.5198 (2.5373)	Prec@1 34.500 (37.953)	Prec@5 70.000 (68.827)
Epoch: [27][3300/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.4496 (2.5372)	Prec@1 39.000 (37.954)	Prec@5 71.000 (68.828)
Epoch: [27][3310/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.7469 (2.5374)	Prec@1 35.000 (37.950)	Prec@5 69.000 (68.825)
Epoch: [27][3320/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.3465 (2.5375)	Prec@1 38.500 (37.951)	Prec@5 72.000 (68.827)
Epoch: [27][3330/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5171 (2.5374)	Prec@1 37.500 (37.953)	Prec@5 68.500 (68.832)
Epoch: [27][3340/9018]	Time 0.747 (0.616)	Data 0.001 (0.001)	Loss 2.5555 (2.5373)	Prec@1 34.500 (37.954)	Prec@5 65.000 (68.834)
Epoch: [27][3350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6571 (2.5373)	Prec@1 33.500 (37.951)	Prec@5 69.500 (68.838)
Epoch: [27][3360/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.4439 (2.5375)	Prec@1 38.500 (37.948)	Prec@5 71.000 (68.837)
Epoch: [27][3370/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.5984 (2.5375)	Prec@1 36.500 (37.947)	Prec@5 69.000 (68.834)
Epoch: [27][3380/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.7655 (2.5376)	Prec@1 34.500 (37.944)	Prec@5 67.000 (68.833)
Epoch: [27][3390/9018]	Time 0.721 (0.616)	Data 0.001 (0.001)	Loss 2.5368 (2.5378)	Prec@1 36.500 (37.941)	Prec@5 68.500 (68.827)
Epoch: [27][3400/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4394 (2.5379)	Prec@1 41.500 (37.947)	Prec@5 72.000 (68.824)
Epoch: [27][3410/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.2892 (2.5378)	Prec@1 39.500 (37.948)	Prec@5 75.500 (68.825)
Epoch: [27][3420/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6683 (2.5380)	Prec@1 33.000 (37.944)	Prec@5 65.500 (68.823)
Epoch: [27][3430/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.4421 (2.5378)	Prec@1 42.000 (37.947)	Prec@5 73.500 (68.828)
Epoch: [27][3440/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.6001 (2.5378)	Prec@1 35.000 (37.947)	Prec@5 66.500 (68.824)
Epoch: [27][3450/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.5421 (2.5380)	Prec@1 34.000 (37.943)	Prec@5 75.000 (68.823)
Epoch: [27][3460/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.6773 (2.5380)	Prec@1 34.000 (37.942)	Prec@5 67.500 (68.820)
Epoch: [27][3470/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4889 (2.5380)	Prec@1 41.500 (37.943)	Prec@5 70.000 (68.822)
Epoch: [27][3480/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5973 (2.5380)	Prec@1 36.500 (37.941)	Prec@5 68.000 (68.820)
Epoch: [27][3490/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.5589 (2.5381)	Prec@1 38.000 (37.940)	Prec@5 73.500 (68.819)
Epoch: [27][3500/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5744 (2.5381)	Prec@1 34.000 (37.937)	Prec@5 67.500 (68.822)
Epoch: [27][3510/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.5170 (2.5380)	Prec@1 38.000 (37.939)	Prec@5 71.000 (68.827)
Epoch: [27][3520/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5046 (2.5378)	Prec@1 37.500 (37.940)	Prec@5 70.000 (68.829)
Epoch: [27][3530/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6426 (2.5379)	Prec@1 35.500 (37.939)	Prec@5 63.500 (68.829)
Epoch: [27][3540/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.6468 (2.5380)	Prec@1 37.500 (37.939)	Prec@5 66.500 (68.826)
Epoch: [27][3550/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5312 (2.5380)	Prec@1 42.000 (37.939)	Prec@5 67.500 (68.823)
Epoch: [27][3560/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.4719 (2.5378)	Prec@1 39.500 (37.944)	Prec@5 72.500 (68.828)
Epoch: [27][3570/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5555 (2.5378)	Prec@1 36.000 (37.946)	Prec@5 67.000 (68.827)
Epoch: [27][3580/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5425 (2.5378)	Prec@1 40.500 (37.941)	Prec@5 71.000 (68.829)
Epoch: [27][3590/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.3779 (2.5379)	Prec@1 38.000 (37.939)	Prec@5 69.000 (68.829)
Epoch: [27][3600/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6710 (2.5378)	Prec@1 35.500 (37.943)	Prec@5 67.000 (68.828)
Epoch: [27][3610/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7397 (2.5379)	Prec@1 32.500 (37.943)	Prec@5 66.000 (68.828)
Epoch: [27][3620/9018]	Time 0.650 (0.615)	Data 0.001 (0.001)	Loss 2.3599 (2.5379)	Prec@1 42.500 (37.943)	Prec@5 71.500 (68.827)
Epoch: [27][3630/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3957 (2.5377)	Prec@1 39.000 (37.944)	Prec@5 71.500 (68.829)
Epoch: [27][3640/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7491 (2.5379)	Prec@1 35.500 (37.939)	Prec@5 65.000 (68.826)
Epoch: [27][3650/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5351 (2.5381)	Prec@1 40.500 (37.936)	Prec@5 69.500 (68.825)
Epoch: [27][3660/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6120 (2.5380)	Prec@1 38.000 (37.938)	Prec@5 68.000 (68.827)
Epoch: [27][3670/9018]	Time 0.708 (0.615)	Data 0.001 (0.001)	Loss 2.5751 (2.5380)	Prec@1 34.000 (37.933)	Prec@5 69.500 (68.826)
Epoch: [27][3680/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5917 (2.5380)	Prec@1 37.500 (37.933)	Prec@5 68.000 (68.828)
Epoch: [27][3690/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.2332 (2.5380)	Prec@1 44.500 (37.935)	Prec@5 72.000 (68.828)
Epoch: [27][3700/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5460 (2.5380)	Prec@1 37.000 (37.938)	Prec@5 67.000 (68.827)
Epoch: [27][3710/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7180 (2.5379)	Prec@1 34.000 (37.935)	Prec@5 62.500 (68.828)
Epoch: [27][3720/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.3908 (2.5380)	Prec@1 40.000 (37.935)	Prec@5 69.500 (68.824)
Epoch: [27][3730/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.4411 (2.5379)	Prec@1 38.500 (37.931)	Prec@5 70.000 (68.825)
Epoch: [27][3740/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7493 (2.5381)	Prec@1 36.500 (37.929)	Prec@5 66.000 (68.823)
Epoch: [27][3750/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7126 (2.5381)	Prec@1 36.500 (37.926)	Prec@5 66.500 (68.823)
Epoch: [27][3760/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5750 (2.5381)	Prec@1 37.000 (37.928)	Prec@5 71.500 (68.826)
Epoch: [27][3770/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5486 (2.5381)	Prec@1 37.500 (37.925)	Prec@5 68.500 (68.829)
Epoch: [27][3780/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5487 (2.5381)	Prec@1 37.500 (37.924)	Prec@5 66.500 (68.826)
Epoch: [27][3790/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5629 (2.5382)	Prec@1 37.500 (37.922)	Prec@5 67.000 (68.828)
Epoch: [27][3800/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4359 (2.5381)	Prec@1 39.000 (37.926)	Prec@5 73.500 (68.830)
Epoch: [27][3810/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5400 (2.5380)	Prec@1 39.000 (37.932)	Prec@5 66.500 (68.832)
Epoch: [27][3820/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 3.0182 (2.5380)	Prec@1 29.000 (37.931)	Prec@5 60.500 (68.834)
Epoch: [27][3830/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4256 (2.5378)	Prec@1 37.500 (37.933)	Prec@5 71.000 (68.838)
Epoch: [27][3840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4067 (2.5379)	Prec@1 39.500 (37.932)	Prec@5 69.500 (68.834)
Epoch: [27][3850/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6711 (2.5380)	Prec@1 40.000 (37.928)	Prec@5 66.500 (68.834)
Epoch: [27][3860/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7226 (2.5380)	Prec@1 38.000 (37.930)	Prec@5 66.000 (68.835)
Epoch: [27][3870/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4466 (2.5379)	Prec@1 41.500 (37.930)	Prec@5 72.000 (68.836)
Epoch: [27][3880/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5153 (2.5379)	Prec@1 40.000 (37.930)	Prec@5 69.500 (68.834)
Epoch: [27][3890/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5467 (2.5380)	Prec@1 37.500 (37.929)	Prec@5 71.000 (68.832)
Epoch: [27][3900/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5730 (2.5381)	Prec@1 35.000 (37.925)	Prec@5 70.500 (68.831)
Epoch: [27][3910/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4030 (2.5382)	Prec@1 37.500 (37.924)	Prec@5 70.500 (68.827)
Epoch: [27][3920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2358 (2.5381)	Prec@1 44.500 (37.925)	Prec@5 74.000 (68.828)
Epoch: [27][3930/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6491 (2.5382)	Prec@1 35.000 (37.923)	Prec@5 67.000 (68.827)
Epoch: [27][3940/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3744 (2.5380)	Prec@1 39.000 (37.926)	Prec@5 70.000 (68.829)
Epoch: [27][3950/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5982 (2.5379)	Prec@1 39.500 (37.932)	Prec@5 67.000 (68.832)
Epoch: [27][3960/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3672 (2.5378)	Prec@1 39.000 (37.932)	Prec@5 73.000 (68.833)
Epoch: [27][3970/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6542 (2.5378)	Prec@1 37.500 (37.931)	Prec@5 66.500 (68.832)
Epoch: [27][3980/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4100 (2.5380)	Prec@1 39.500 (37.928)	Prec@5 70.000 (68.832)
Epoch: [27][3990/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7631 (2.5381)	Prec@1 33.500 (37.924)	Prec@5 62.000 (68.830)
Epoch: [27][4000/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.7223 (2.5382)	Prec@1 37.000 (37.921)	Prec@5 63.500 (68.830)
Epoch: [27][4010/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5579 (2.5382)	Prec@1 41.500 (37.920)	Prec@5 67.500 (68.830)
Epoch: [27][4020/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6750 (2.5381)	Prec@1 30.000 (37.918)	Prec@5 66.500 (68.832)
Epoch: [27][4030/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3908 (2.5382)	Prec@1 43.500 (37.919)	Prec@5 69.000 (68.828)
Epoch: [27][4040/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3201 (2.5380)	Prec@1 40.500 (37.919)	Prec@5 75.500 (68.832)
Epoch: [27][4050/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.5727 (2.5380)	Prec@1 38.500 (37.919)	Prec@5 66.500 (68.833)
Epoch: [27][4060/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4851 (2.5381)	Prec@1 39.000 (37.919)	Prec@5 70.500 (68.829)
Epoch: [27][4070/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.3510 (2.5380)	Prec@1 39.000 (37.922)	Prec@5 72.000 (68.830)
Epoch: [27][4080/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7287 (2.5380)	Prec@1 33.500 (37.924)	Prec@5 65.500 (68.832)
Epoch: [27][4090/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4136 (2.5379)	Prec@1 38.500 (37.925)	Prec@5 69.500 (68.833)
Epoch: [27][4100/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5763 (2.5379)	Prec@1 38.000 (37.929)	Prec@5 69.000 (68.833)
Epoch: [27][4110/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3935 (2.5378)	Prec@1 42.000 (37.932)	Prec@5 72.500 (68.835)
Epoch: [27][4120/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5051 (2.5378)	Prec@1 39.500 (37.935)	Prec@5 69.500 (68.834)
Epoch: [27][4130/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3942 (2.5377)	Prec@1 37.000 (37.939)	Prec@5 69.000 (68.837)
Epoch: [27][4140/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7068 (2.5378)	Prec@1 39.000 (37.939)	Prec@5 65.500 (68.837)
Epoch: [27][4150/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5173 (2.5378)	Prec@1 37.500 (37.940)	Prec@5 72.500 (68.836)
Epoch: [27][4160/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5899 (2.5378)	Prec@1 37.500 (37.941)	Prec@5 63.500 (68.834)
Epoch: [27][4170/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5479 (2.5378)	Prec@1 38.500 (37.942)	Prec@5 71.000 (68.832)
Epoch: [27][4180/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3175 (2.5377)	Prec@1 43.500 (37.945)	Prec@5 76.500 (68.835)
Epoch: [27][4190/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4708 (2.5376)	Prec@1 45.500 (37.946)	Prec@5 71.500 (68.837)
Epoch: [27][4200/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4102 (2.5374)	Prec@1 40.500 (37.952)	Prec@5 72.500 (68.842)
Epoch: [27][4210/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5488 (2.5373)	Prec@1 40.000 (37.954)	Prec@5 67.000 (68.845)
Epoch: [27][4220/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5401 (2.5374)	Prec@1 40.000 (37.952)	Prec@5 63.500 (68.845)
Epoch: [27][4230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4517 (2.5375)	Prec@1 37.500 (37.948)	Prec@5 70.500 (68.843)
Epoch: [27][4240/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2149 (2.5373)	Prec@1 45.000 (37.952)	Prec@5 76.500 (68.849)
Epoch: [27][4250/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5014 (2.5373)	Prec@1 43.000 (37.951)	Prec@5 68.000 (68.848)
Epoch: [27][4260/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.3822 (2.5375)	Prec@1 41.500 (37.947)	Prec@5 73.000 (68.844)
Epoch: [27][4270/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7591 (2.5374)	Prec@1 32.500 (37.948)	Prec@5 62.500 (68.844)
Epoch: [27][4280/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.9168 (2.5376)	Prec@1 32.500 (37.946)	Prec@5 61.500 (68.841)
Epoch: [27][4290/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5101 (2.5375)	Prec@1 40.500 (37.947)	Prec@5 69.000 (68.845)
Epoch: [27][4300/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4446 (2.5374)	Prec@1 45.500 (37.955)	Prec@5 72.000 (68.845)
Epoch: [27][4310/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5469 (2.5375)	Prec@1 35.000 (37.951)	Prec@5 68.500 (68.842)
Epoch: [27][4320/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6033 (2.5376)	Prec@1 35.500 (37.949)	Prec@5 68.500 (68.841)
Epoch: [27][4330/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.6633 (2.5377)	Prec@1 34.500 (37.947)	Prec@5 66.000 (68.839)
Epoch: [27][4340/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6523 (2.5378)	Prec@1 37.500 (37.944)	Prec@5 64.000 (68.836)
Epoch: [27][4350/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4647 (2.5377)	Prec@1 40.000 (37.946)	Prec@5 69.500 (68.836)
Epoch: [27][4360/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5110 (2.5377)	Prec@1 39.000 (37.947)	Prec@5 70.500 (68.836)
Epoch: [27][4370/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7481 (2.5378)	Prec@1 36.000 (37.947)	Prec@5 63.500 (68.835)
Epoch: [27][4380/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.6380 (2.5380)	Prec@1 29.500 (37.944)	Prec@5 66.000 (68.832)
Epoch: [27][4390/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5581 (2.5381)	Prec@1 40.000 (37.944)	Prec@5 66.500 (68.829)
Epoch: [27][4400/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.4030 (2.5381)	Prec@1 38.500 (37.942)	Prec@5 73.500 (68.827)
Epoch: [27][4410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5230 (2.5381)	Prec@1 38.500 (37.944)	Prec@5 67.000 (68.825)
Epoch: [27][4420/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5119 (2.5382)	Prec@1 35.000 (37.944)	Prec@5 68.000 (68.822)
Epoch: [27][4430/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5539 (2.5384)	Prec@1 38.000 (37.940)	Prec@5 68.500 (68.817)
Epoch: [27][4440/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4119 (2.5384)	Prec@1 44.500 (37.941)	Prec@5 70.000 (68.815)
Epoch: [27][4450/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6744 (2.5385)	Prec@1 39.500 (37.941)	Prec@5 68.500 (68.814)
Epoch: [27][4460/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4090 (2.5387)	Prec@1 38.500 (37.939)	Prec@5 69.000 (68.807)
Epoch: [27][4470/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5156 (2.5387)	Prec@1 37.500 (37.940)	Prec@5 71.500 (68.806)
Epoch: [27][4480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3910 (2.5385)	Prec@1 41.000 (37.944)	Prec@5 73.000 (68.810)
Epoch: [27][4490/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3820 (2.5385)	Prec@1 42.500 (37.944)	Prec@5 71.500 (68.809)
Epoch: [27][4500/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7098 (2.5386)	Prec@1 34.500 (37.943)	Prec@5 65.000 (68.809)
Epoch: [27][4510/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5886 (2.5385)	Prec@1 41.000 (37.947)	Prec@5 67.500 (68.810)
Epoch: [27][4520/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4844 (2.5385)	Prec@1 42.000 (37.952)	Prec@5 69.500 (68.811)
Epoch: [27][4530/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5566 (2.5386)	Prec@1 39.500 (37.953)	Prec@5 68.000 (68.806)
Epoch: [27][4540/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.3351 (2.5385)	Prec@1 41.500 (37.954)	Prec@5 75.000 (68.806)
Epoch: [27][4550/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2826 (2.5384)	Prec@1 41.500 (37.953)	Prec@5 70.500 (68.808)
Epoch: [27][4560/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7751 (2.5387)	Prec@1 36.000 (37.950)	Prec@5 65.000 (68.803)
Epoch: [27][4570/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4419 (2.5387)	Prec@1 39.500 (37.948)	Prec@5 72.500 (68.804)
Epoch: [27][4580/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4783 (2.5388)	Prec@1 42.000 (37.947)	Prec@5 73.000 (68.802)
Epoch: [27][4590/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6568 (2.5388)	Prec@1 36.500 (37.948)	Prec@5 64.500 (68.802)
Epoch: [27][4600/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6077 (2.5388)	Prec@1 33.500 (37.948)	Prec@5 64.500 (68.804)
Epoch: [27][4610/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5175 (2.5388)	Prec@1 39.000 (37.944)	Prec@5 68.000 (68.804)
Epoch: [27][4620/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4856 (2.5389)	Prec@1 34.000 (37.941)	Prec@5 72.000 (68.800)
Epoch: [27][4630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4555 (2.5390)	Prec@1 40.500 (37.940)	Prec@5 70.500 (68.797)
Epoch: [27][4640/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4588 (2.5390)	Prec@1 36.000 (37.941)	Prec@5 71.000 (68.798)
Epoch: [27][4650/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4747 (2.5391)	Prec@1 38.000 (37.942)	Prec@5 69.500 (68.795)
Epoch: [27][4660/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.7375 (2.5390)	Prec@1 33.000 (37.944)	Prec@5 64.000 (68.797)
Epoch: [27][4670/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5458 (2.5389)	Prec@1 37.000 (37.946)	Prec@5 67.500 (68.797)
Epoch: [27][4680/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4868 (2.5390)	Prec@1 38.500 (37.943)	Prec@5 66.000 (68.796)
Epoch: [27][4690/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5512 (2.5391)	Prec@1 39.500 (37.940)	Prec@5 68.500 (68.795)
Epoch: [27][4700/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6932 (2.5391)	Prec@1 34.500 (37.942)	Prec@5 66.000 (68.794)
Epoch: [27][4710/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.6170 (2.5390)	Prec@1 34.500 (37.941)	Prec@5 70.000 (68.795)
Epoch: [27][4720/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4963 (2.5391)	Prec@1 44.000 (37.942)	Prec@5 66.500 (68.796)
Epoch: [27][4730/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5776 (2.5390)	Prec@1 38.000 (37.943)	Prec@5 70.000 (68.798)
Epoch: [27][4740/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5253 (2.5390)	Prec@1 37.000 (37.946)	Prec@5 67.500 (68.797)
Epoch: [27][4750/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3783 (2.5390)	Prec@1 38.000 (37.945)	Prec@5 66.000 (68.798)
Epoch: [27][4760/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6655 (2.5388)	Prec@1 37.500 (37.944)	Prec@5 65.500 (68.801)
Epoch: [27][4770/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6921 (2.5388)	Prec@1 36.000 (37.944)	Prec@5 63.000 (68.802)
Epoch: [27][4780/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5665 (2.5388)	Prec@1 35.000 (37.945)	Prec@5 66.500 (68.802)
Epoch: [27][4790/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6295 (2.5388)	Prec@1 38.000 (37.946)	Prec@5 67.500 (68.801)
Epoch: [27][4800/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.8043 (2.5389)	Prec@1 36.000 (37.946)	Prec@5 65.500 (68.800)
Epoch: [27][4810/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3189 (2.5388)	Prec@1 43.000 (37.949)	Prec@5 73.500 (68.803)
Epoch: [27][4820/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4565 (2.5388)	Prec@1 40.500 (37.950)	Prec@5 71.500 (68.803)
Epoch: [27][4830/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5881 (2.5389)	Prec@1 37.500 (37.950)	Prec@5 67.500 (68.803)
Epoch: [27][4840/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4253 (2.5388)	Prec@1 44.000 (37.952)	Prec@5 71.000 (68.803)
Epoch: [27][4850/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5664 (2.5387)	Prec@1 36.500 (37.952)	Prec@5 68.500 (68.806)
Epoch: [27][4860/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4000 (2.5388)	Prec@1 43.500 (37.953)	Prec@5 69.500 (68.804)
Epoch: [27][4870/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4811 (2.5390)	Prec@1 40.000 (37.952)	Prec@5 67.500 (68.800)
Epoch: [27][4880/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4350 (2.5389)	Prec@1 35.500 (37.952)	Prec@5 73.000 (68.799)
Epoch: [27][4890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4350 (2.5388)	Prec@1 38.500 (37.953)	Prec@5 70.000 (68.801)
Epoch: [27][4900/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5209 (2.5389)	Prec@1 39.000 (37.953)	Prec@5 72.000 (68.801)
Epoch: [27][4910/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.2885 (2.5389)	Prec@1 41.000 (37.952)	Prec@5 78.000 (68.802)
Epoch: [27][4920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3170 (2.5391)	Prec@1 42.500 (37.950)	Prec@5 73.500 (68.798)
Epoch: [27][4930/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7909 (2.5391)	Prec@1 33.500 (37.947)	Prec@5 62.500 (68.795)
Epoch: [27][4940/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4315 (2.5391)	Prec@1 37.500 (37.946)	Prec@5 73.500 (68.798)
Epoch: [27][4950/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5611 (2.5392)	Prec@1 40.500 (37.946)	Prec@5 66.000 (68.797)
Epoch: [27][4960/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4032 (2.5393)	Prec@1 41.000 (37.944)	Prec@5 74.000 (68.796)
Epoch: [27][4970/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.2190 (2.5392)	Prec@1 43.500 (37.947)	Prec@5 75.000 (68.799)
Epoch: [27][4980/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6628 (2.5394)	Prec@1 39.000 (37.944)	Prec@5 64.000 (68.793)
Epoch: [27][4990/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.4315 (2.5393)	Prec@1 38.000 (37.945)	Prec@5 72.500 (68.794)
Epoch: [27][5000/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4950 (2.5394)	Prec@1 41.500 (37.946)	Prec@5 69.500 (68.794)
Epoch: [27][5010/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3932 (2.5393)	Prec@1 42.000 (37.950)	Prec@5 70.500 (68.796)
Epoch: [27][5020/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4622 (2.5392)	Prec@1 39.500 (37.952)	Prec@5 69.500 (68.798)
Epoch: [27][5030/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6519 (2.5391)	Prec@1 39.000 (37.953)	Prec@5 65.000 (68.800)
Epoch: [27][5040/9018]	Time 0.768 (0.615)	Data 0.001 (0.001)	Loss 2.4979 (2.5391)	Prec@1 40.000 (37.956)	Prec@5 68.500 (68.801)
Epoch: [27][5050/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4983 (2.5391)	Prec@1 38.000 (37.956)	Prec@5 70.000 (68.802)
Epoch: [27][5060/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5054 (2.5392)	Prec@1 32.500 (37.954)	Prec@5 70.500 (68.801)
Epoch: [27][5070/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.4454 (2.5393)	Prec@1 40.500 (37.951)	Prec@5 71.500 (68.799)
Epoch: [27][5080/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3609 (2.5393)	Prec@1 45.000 (37.952)	Prec@5 70.000 (68.798)
Epoch: [27][5090/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5104 (2.5392)	Prec@1 39.000 (37.955)	Prec@5 69.500 (68.800)
Epoch: [27][5100/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5945 (2.5392)	Prec@1 39.000 (37.956)	Prec@5 71.500 (68.800)
Epoch: [27][5110/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3906 (2.5390)	Prec@1 41.500 (37.959)	Prec@5 73.000 (68.802)
Epoch: [27][5120/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6092 (2.5390)	Prec@1 39.000 (37.958)	Prec@5 67.500 (68.803)
Epoch: [27][5130/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5167 (2.5390)	Prec@1 38.000 (37.960)	Prec@5 72.000 (68.800)
Epoch: [27][5140/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5086 (2.5390)	Prec@1 38.000 (37.958)	Prec@5 70.000 (68.802)
Epoch: [27][5150/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5565 (2.5391)	Prec@1 39.000 (37.958)	Prec@5 72.500 (68.802)
Epoch: [27][5160/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5416 (2.5392)	Prec@1 36.500 (37.955)	Prec@5 71.500 (68.800)
Epoch: [27][5170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5259 (2.5392)	Prec@1 35.000 (37.952)	Prec@5 65.500 (68.798)
Epoch: [27][5180/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6370 (2.5393)	Prec@1 34.500 (37.951)	Prec@5 68.500 (68.798)
Epoch: [27][5190/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5284 (2.5393)	Prec@1 31.500 (37.948)	Prec@5 69.500 (68.799)
Epoch: [27][5200/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.6741 (2.5392)	Prec@1 40.000 (37.948)	Prec@5 66.000 (68.800)
Epoch: [27][5210/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7140 (2.5392)	Prec@1 34.500 (37.948)	Prec@5 66.500 (68.800)
Epoch: [27][5220/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7244 (2.5393)	Prec@1 33.500 (37.944)	Prec@5 65.500 (68.799)
Epoch: [27][5230/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4770 (2.5393)	Prec@1 40.500 (37.943)	Prec@5 73.500 (68.800)
Epoch: [27][5240/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6333 (2.5393)	Prec@1 37.500 (37.944)	Prec@5 67.500 (68.802)
Epoch: [27][5250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7331 (2.5393)	Prec@1 36.000 (37.945)	Prec@5 64.500 (68.800)
Epoch: [27][5260/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4007 (2.5393)	Prec@1 39.000 (37.944)	Prec@5 70.500 (68.800)
Epoch: [27][5270/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6449 (2.5393)	Prec@1 34.500 (37.943)	Prec@5 69.000 (68.799)
Epoch: [27][5280/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8414 (2.5395)	Prec@1 33.500 (37.938)	Prec@5 62.500 (68.796)
Epoch: [27][5290/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4160 (2.5395)	Prec@1 38.000 (37.938)	Prec@5 74.000 (68.795)
Epoch: [27][5300/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6199 (2.5396)	Prec@1 36.500 (37.935)	Prec@5 66.500 (68.794)
Epoch: [27][5310/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3471 (2.5395)	Prec@1 44.000 (37.941)	Prec@5 74.000 (68.798)
Epoch: [27][5320/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.3806 (2.5394)	Prec@1 39.500 (37.943)	Prec@5 69.500 (68.798)
Epoch: [27][5330/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5969 (2.5394)	Prec@1 38.500 (37.943)	Prec@5 69.000 (68.798)
Epoch: [27][5340/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7774 (2.5395)	Prec@1 34.500 (37.944)	Prec@5 61.000 (68.797)
Epoch: [27][5350/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6039 (2.5395)	Prec@1 38.000 (37.944)	Prec@5 67.500 (68.796)
Epoch: [27][5360/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4167 (2.5394)	Prec@1 39.500 (37.946)	Prec@5 70.500 (68.799)
Epoch: [27][5370/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.5206 (2.5393)	Prec@1 34.000 (37.947)	Prec@5 68.500 (68.801)
Epoch: [27][5380/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6526 (2.5393)	Prec@1 39.000 (37.946)	Prec@5 65.000 (68.800)
Epoch: [27][5390/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5142 (2.5394)	Prec@1 41.500 (37.944)	Prec@5 72.000 (68.799)
Epoch: [27][5400/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3614 (2.5393)	Prec@1 45.000 (37.947)	Prec@5 71.000 (68.800)
Epoch: [27][5410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5022 (2.5393)	Prec@1 37.500 (37.946)	Prec@5 69.500 (68.800)
Epoch: [27][5420/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.3508 (2.5394)	Prec@1 40.000 (37.947)	Prec@5 76.000 (68.799)
Epoch: [27][5430/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5284 (2.5395)	Prec@1 38.500 (37.945)	Prec@5 69.500 (68.800)
Epoch: [27][5440/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2639 (2.5395)	Prec@1 42.000 (37.945)	Prec@5 74.000 (68.800)
Epoch: [27][5450/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3911 (2.5395)	Prec@1 39.000 (37.945)	Prec@5 69.000 (68.799)
Epoch: [27][5460/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7016 (2.5396)	Prec@1 36.500 (37.946)	Prec@5 68.500 (68.799)
Epoch: [27][5470/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.2997 (2.5395)	Prec@1 39.500 (37.947)	Prec@5 77.500 (68.803)
Epoch: [27][5480/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5885 (2.5395)	Prec@1 44.500 (37.949)	Prec@5 69.000 (68.804)
Epoch: [27][5490/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7818 (2.5396)	Prec@1 33.500 (37.949)	Prec@5 64.000 (68.800)
Epoch: [27][5500/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6375 (2.5396)	Prec@1 29.000 (37.945)	Prec@5 65.500 (68.799)
Epoch: [27][5510/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2990 (2.5396)	Prec@1 41.500 (37.945)	Prec@5 73.000 (68.799)
Epoch: [27][5520/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5781 (2.5396)	Prec@1 37.000 (37.947)	Prec@5 67.500 (68.799)
Epoch: [27][5530/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5334 (2.5396)	Prec@1 40.000 (37.948)	Prec@5 67.000 (68.801)
Epoch: [27][5540/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.4828 (2.5395)	Prec@1 37.000 (37.949)	Prec@5 71.500 (68.802)
Epoch: [27][5550/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5747 (2.5395)	Prec@1 38.500 (37.949)	Prec@5 66.500 (68.801)
Epoch: [27][5560/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6775 (2.5397)	Prec@1 38.500 (37.949)	Prec@5 67.000 (68.799)
Epoch: [27][5570/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5193 (2.5398)	Prec@1 40.000 (37.947)	Prec@5 68.000 (68.797)
Epoch: [27][5580/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6105 (2.5397)	Prec@1 32.000 (37.946)	Prec@5 67.500 (68.799)
Epoch: [27][5590/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4338 (2.5398)	Prec@1 39.000 (37.943)	Prec@5 71.500 (68.796)
Epoch: [27][5600/9018]	Time 0.648 (0.615)	Data 0.001 (0.001)	Loss 2.7266 (2.5398)	Prec@1 37.500 (37.943)	Prec@5 63.500 (68.795)
Epoch: [27][5610/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6391 (2.5397)	Prec@1 33.500 (37.944)	Prec@5 66.500 (68.795)
Epoch: [27][5620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6051 (2.5397)	Prec@1 38.500 (37.942)	Prec@5 69.500 (68.794)
Epoch: [27][5630/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5432 (2.5397)	Prec@1 37.500 (37.943)	Prec@5 69.500 (68.796)
Epoch: [27][5640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6303 (2.5397)	Prec@1 35.500 (37.942)	Prec@5 63.500 (68.796)
Epoch: [27][5650/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.3422 (2.5397)	Prec@1 38.000 (37.944)	Prec@5 73.500 (68.795)
Epoch: [27][5660/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4079 (2.5397)	Prec@1 41.000 (37.947)	Prec@5 70.500 (68.796)
Epoch: [27][5670/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.3734 (2.5397)	Prec@1 38.500 (37.946)	Prec@5 69.000 (68.796)
Epoch: [27][5680/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.2243 (2.5395)	Prec@1 47.500 (37.950)	Prec@5 74.000 (68.799)
Epoch: [27][5690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5057 (2.5395)	Prec@1 39.500 (37.951)	Prec@5 71.000 (68.800)
Epoch: [27][5700/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.5308 (2.5395)	Prec@1 41.500 (37.951)	Prec@5 70.500 (68.801)
Epoch: [27][5710/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4072 (2.5394)	Prec@1 36.000 (37.951)	Prec@5 74.000 (68.800)
Epoch: [27][5720/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6490 (2.5395)	Prec@1 39.500 (37.949)	Prec@5 67.500 (68.798)
Epoch: [27][5730/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6094 (2.5395)	Prec@1 37.000 (37.951)	Prec@5 63.000 (68.799)
Epoch: [27][5740/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4574 (2.5395)	Prec@1 41.500 (37.953)	Prec@5 68.500 (68.798)
Epoch: [27][5750/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5562 (2.5397)	Prec@1 37.000 (37.951)	Prec@5 66.000 (68.796)
Epoch: [27][5760/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.3653 (2.5396)	Prec@1 38.000 (37.950)	Prec@5 73.500 (68.797)
Epoch: [27][5770/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4713 (2.5397)	Prec@1 40.000 (37.947)	Prec@5 72.500 (68.796)
Epoch: [27][5780/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4127 (2.5396)	Prec@1 38.000 (37.946)	Prec@5 70.000 (68.795)
Epoch: [27][5790/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6368 (2.5397)	Prec@1 33.000 (37.944)	Prec@5 65.500 (68.792)
Epoch: [27][5800/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6027 (2.5398)	Prec@1 37.500 (37.945)	Prec@5 66.000 (68.790)
Epoch: [27][5810/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.6845 (2.5399)	Prec@1 31.500 (37.945)	Prec@5 66.000 (68.791)
Epoch: [27][5820/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6585 (2.5398)	Prec@1 37.500 (37.946)	Prec@5 67.000 (68.794)
Epoch: [27][5830/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5271 (2.5399)	Prec@1 41.500 (37.945)	Prec@5 70.000 (68.794)
Epoch: [27][5840/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7658 (2.5399)	Prec@1 38.500 (37.946)	Prec@5 60.000 (68.792)
Epoch: [27][5850/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4024 (2.5399)	Prec@1 39.500 (37.946)	Prec@5 66.000 (68.792)
Epoch: [27][5860/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4806 (2.5399)	Prec@1 38.000 (37.947)	Prec@5 71.000 (68.794)
Epoch: [27][5870/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5780 (2.5400)	Prec@1 33.500 (37.946)	Prec@5 71.000 (68.792)
Epoch: [27][5880/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6573 (2.5401)	Prec@1 36.500 (37.944)	Prec@5 65.500 (68.792)
Epoch: [27][5890/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6264 (2.5402)	Prec@1 33.500 (37.940)	Prec@5 67.000 (68.790)
Epoch: [27][5900/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.3022 (2.5401)	Prec@1 43.000 (37.943)	Prec@5 74.500 (68.791)
Epoch: [27][5910/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5927 (2.5399)	Prec@1 39.500 (37.946)	Prec@5 66.000 (68.795)
Epoch: [27][5920/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8888 (2.5400)	Prec@1 34.500 (37.946)	Prec@5 64.000 (68.794)
Epoch: [27][5930/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4260 (2.5400)	Prec@1 40.000 (37.944)	Prec@5 69.500 (68.792)
Epoch: [27][5940/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.7254 (2.5400)	Prec@1 33.500 (37.941)	Prec@5 66.500 (68.791)
Epoch: [27][5950/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5035 (2.5400)	Prec@1 35.500 (37.941)	Prec@5 69.500 (68.792)
Epoch: [27][5960/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5966 (2.5398)	Prec@1 35.500 (37.943)	Prec@5 67.000 (68.794)
Epoch: [27][5970/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7901 (2.5400)	Prec@1 31.500 (37.940)	Prec@5 62.500 (68.792)
Epoch: [27][5980/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.4814 (2.5399)	Prec@1 38.000 (37.943)	Prec@5 68.500 (68.793)
Epoch: [27][5990/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2238 (2.5399)	Prec@1 45.500 (37.944)	Prec@5 76.000 (68.793)
Epoch: [27][6000/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5605 (2.5400)	Prec@1 35.000 (37.943)	Prec@5 69.000 (68.792)
Epoch: [27][6010/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.3765 (2.5399)	Prec@1 39.500 (37.943)	Prec@5 74.000 (68.794)
Epoch: [27][6020/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4252 (2.5400)	Prec@1 40.000 (37.943)	Prec@5 70.000 (68.792)
Epoch: [27][6030/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.6226 (2.5400)	Prec@1 36.000 (37.941)	Prec@5 66.000 (68.790)
Epoch: [27][6040/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4068 (2.5400)	Prec@1 40.500 (37.941)	Prec@5 71.500 (68.789)
Epoch: [27][6050/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6245 (2.5401)	Prec@1 35.500 (37.936)	Prec@5 67.000 (68.789)
Epoch: [27][6060/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.7419 (2.5402)	Prec@1 35.500 (37.937)	Prec@5 62.000 (68.787)
Epoch: [27][6070/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5979 (2.5403)	Prec@1 34.000 (37.934)	Prec@5 67.500 (68.786)
Epoch: [27][6080/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6567 (2.5403)	Prec@1 33.500 (37.935)	Prec@5 66.000 (68.784)
Epoch: [27][6090/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5173 (2.5403)	Prec@1 33.500 (37.938)	Prec@5 70.500 (68.784)
Epoch: [27][6100/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1962 (2.5403)	Prec@1 44.500 (37.939)	Prec@5 74.500 (68.784)
Epoch: [27][6110/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8406 (2.5404)	Prec@1 35.000 (37.936)	Prec@5 63.000 (68.781)
Epoch: [27][6120/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4545 (2.5404)	Prec@1 40.000 (37.935)	Prec@5 70.500 (68.780)
Epoch: [27][6130/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6886 (2.5405)	Prec@1 37.000 (37.935)	Prec@5 65.000 (68.776)
Epoch: [27][6140/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.5672 (2.5405)	Prec@1 33.500 (37.932)	Prec@5 64.000 (68.775)
Epoch: [27][6150/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6553 (2.5406)	Prec@1 35.500 (37.931)	Prec@5 72.000 (68.777)
Epoch: [27][6160/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.3923 (2.5405)	Prec@1 41.000 (37.932)	Prec@5 69.000 (68.777)
Epoch: [27][6170/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6240 (2.5405)	Prec@1 36.000 (37.929)	Prec@5 74.000 (68.780)
Epoch: [27][6180/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5211 (2.5406)	Prec@1 33.500 (37.929)	Prec@5 68.000 (68.780)
Epoch: [27][6190/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3403 (2.5406)	Prec@1 38.500 (37.928)	Prec@5 70.500 (68.779)
Epoch: [27][6200/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5625 (2.5406)	Prec@1 40.500 (37.929)	Prec@5 67.500 (68.779)
Epoch: [27][6210/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7273 (2.5406)	Prec@1 39.000 (37.929)	Prec@5 64.000 (68.777)
Epoch: [27][6220/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6164 (2.5407)	Prec@1 37.500 (37.927)	Prec@5 68.500 (68.775)
Epoch: [27][6230/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5671 (2.5408)	Prec@1 37.500 (37.925)	Prec@5 70.000 (68.774)
Epoch: [27][6240/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7580 (2.5408)	Prec@1 38.000 (37.926)	Prec@5 64.000 (68.776)
Epoch: [27][6250/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.3543 (2.5407)	Prec@1 38.500 (37.926)	Prec@5 71.500 (68.776)
Epoch: [27][6260/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4209 (2.5408)	Prec@1 42.500 (37.925)	Prec@5 69.500 (68.775)
Epoch: [27][6270/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5783 (2.5408)	Prec@1 34.000 (37.923)	Prec@5 66.500 (68.774)
Epoch: [27][6280/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6025 (2.5408)	Prec@1 33.000 (37.923)	Prec@5 69.500 (68.773)
Epoch: [27][6290/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6390 (2.5408)	Prec@1 34.500 (37.921)	Prec@5 66.500 (68.773)
Epoch: [27][6300/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4390 (2.5408)	Prec@1 39.000 (37.921)	Prec@5 70.500 (68.773)
Epoch: [27][6310/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.6392 (2.5409)	Prec@1 35.000 (37.919)	Prec@5 63.500 (68.771)
Epoch: [27][6320/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6797 (2.5408)	Prec@1 34.000 (37.919)	Prec@5 66.500 (68.771)
Epoch: [27][6330/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5304 (2.5407)	Prec@1 42.500 (37.920)	Prec@5 70.500 (68.772)
Epoch: [27][6340/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4374 (2.5407)	Prec@1 42.500 (37.920)	Prec@5 71.000 (68.772)
Epoch: [27][6350/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5181 (2.5407)	Prec@1 39.000 (37.918)	Prec@5 68.000 (68.771)
Epoch: [27][6360/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.5423 (2.5407)	Prec@1 35.500 (37.918)	Prec@5 69.000 (68.770)
Epoch: [27][6370/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3957 (2.5408)	Prec@1 39.500 (37.919)	Prec@5 75.000 (68.770)
Epoch: [27][6380/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7497 (2.5408)	Prec@1 33.000 (37.917)	Prec@5 65.000 (68.770)
Epoch: [27][6390/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4873 (2.5408)	Prec@1 42.000 (37.917)	Prec@5 69.000 (68.770)
Epoch: [27][6400/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6759 (2.5408)	Prec@1 33.500 (37.915)	Prec@5 66.000 (68.769)
Epoch: [27][6410/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5574 (2.5408)	Prec@1 36.500 (37.915)	Prec@5 67.000 (68.771)
Epoch: [27][6420/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6734 (2.5408)	Prec@1 35.500 (37.916)	Prec@5 66.000 (68.769)
Epoch: [27][6430/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5628 (2.5409)	Prec@1 36.500 (37.915)	Prec@5 67.500 (68.769)
Epoch: [27][6440/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3843 (2.5408)	Prec@1 43.000 (37.917)	Prec@5 75.000 (68.771)
Epoch: [27][6450/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7068 (2.5408)	Prec@1 38.500 (37.919)	Prec@5 66.500 (68.770)
Epoch: [27][6460/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4446 (2.5408)	Prec@1 39.500 (37.917)	Prec@5 67.500 (68.768)
Epoch: [27][6470/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6295 (2.5408)	Prec@1 37.500 (37.915)	Prec@5 66.500 (68.768)
Epoch: [27][6480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5509 (2.5410)	Prec@1 39.500 (37.913)	Prec@5 70.000 (68.766)
Epoch: [27][6490/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5266 (2.5411)	Prec@1 42.500 (37.912)	Prec@5 66.500 (68.765)
Epoch: [27][6500/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5890 (2.5412)	Prec@1 41.500 (37.910)	Prec@5 67.500 (68.764)
Epoch: [27][6510/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4400 (2.5411)	Prec@1 43.500 (37.913)	Prec@5 69.500 (68.764)
Epoch: [27][6520/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6933 (2.5413)	Prec@1 34.000 (37.912)	Prec@5 66.500 (68.761)
Epoch: [27][6530/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5900 (2.5412)	Prec@1 38.500 (37.912)	Prec@5 71.000 (68.763)
Epoch: [27][6540/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4656 (2.5412)	Prec@1 39.000 (37.913)	Prec@5 70.500 (68.764)
Epoch: [27][6550/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6976 (2.5411)	Prec@1 37.500 (37.915)	Prec@5 67.500 (68.765)
Epoch: [27][6560/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4264 (2.5412)	Prec@1 43.500 (37.913)	Prec@5 67.000 (68.762)
Epoch: [27][6570/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6774 (2.5412)	Prec@1 32.000 (37.911)	Prec@5 64.500 (68.763)
Epoch: [27][6580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6119 (2.5412)	Prec@1 40.500 (37.911)	Prec@5 66.500 (68.760)
Epoch: [27][6590/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3890 (2.5412)	Prec@1 36.500 (37.911)	Prec@5 73.500 (68.761)
Epoch: [27][6600/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.3843 (2.5411)	Prec@1 41.500 (37.912)	Prec@5 70.500 (68.764)
Epoch: [27][6610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7186 (2.5412)	Prec@1 37.500 (37.911)	Prec@5 66.000 (68.763)
Epoch: [27][6620/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6729 (2.5411)	Prec@1 32.000 (37.910)	Prec@5 65.500 (68.762)
Epoch: [27][6630/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5693 (2.5411)	Prec@1 40.500 (37.909)	Prec@5 67.000 (68.761)
Epoch: [27][6640/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.6014 (2.5411)	Prec@1 36.500 (37.908)	Prec@5 65.000 (68.760)
Epoch: [27][6650/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4628 (2.5411)	Prec@1 40.000 (37.908)	Prec@5 67.000 (68.761)
Epoch: [27][6660/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5111 (2.5410)	Prec@1 36.500 (37.909)	Prec@5 67.000 (68.761)
Epoch: [27][6670/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5446 (2.5411)	Prec@1 34.500 (37.908)	Prec@5 69.500 (68.759)
Epoch: [27][6680/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4638 (2.5411)	Prec@1 39.500 (37.907)	Prec@5 70.000 (68.758)
Epoch: [27][6690/9018]	Time 0.756 (0.615)	Data 0.001 (0.001)	Loss 2.6362 (2.5411)	Prec@1 35.000 (37.907)	Prec@5 69.000 (68.760)
Epoch: [27][6700/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5907 (2.5412)	Prec@1 34.000 (37.905)	Prec@5 69.500 (68.759)
Epoch: [27][6710/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6609 (2.5413)	Prec@1 37.500 (37.903)	Prec@5 66.000 (68.756)
Epoch: [27][6720/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5529 (2.5413)	Prec@1 39.000 (37.904)	Prec@5 64.000 (68.753)
Epoch: [27][6730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5565 (2.5414)	Prec@1 36.000 (37.901)	Prec@5 68.000 (68.752)
Epoch: [27][6740/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6319 (2.5414)	Prec@1 35.500 (37.900)	Prec@5 65.000 (68.752)
Epoch: [27][6750/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4959 (2.5414)	Prec@1 41.500 (37.900)	Prec@5 73.500 (68.752)
Epoch: [27][6760/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.6257 (2.5414)	Prec@1 37.500 (37.902)	Prec@5 67.500 (68.754)
Epoch: [27][6770/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5740 (2.5413)	Prec@1 36.000 (37.903)	Prec@5 68.500 (68.754)
Epoch: [27][6780/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4493 (2.5414)	Prec@1 37.500 (37.900)	Prec@5 72.000 (68.751)
Epoch: [27][6790/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2907 (2.5414)	Prec@1 44.000 (37.899)	Prec@5 73.000 (68.751)
Epoch: [27][6800/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.8421 (2.5414)	Prec@1 37.000 (37.898)	Prec@5 61.000 (68.753)
Epoch: [27][6810/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7276 (2.5414)	Prec@1 36.000 (37.899)	Prec@5 66.000 (68.753)
Epoch: [27][6820/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5167 (2.5414)	Prec@1 37.000 (37.896)	Prec@5 70.500 (68.752)
Epoch: [27][6830/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7923 (2.5414)	Prec@1 33.500 (37.897)	Prec@5 63.500 (68.754)
Epoch: [27][6840/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6253 (2.5415)	Prec@1 36.000 (37.893)	Prec@5 61.500 (68.751)
Epoch: [27][6850/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6821 (2.5415)	Prec@1 33.000 (37.893)	Prec@5 70.000 (68.751)
Epoch: [27][6860/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7866 (2.5415)	Prec@1 31.000 (37.894)	Prec@5 66.500 (68.752)
Epoch: [27][6870/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5232 (2.5415)	Prec@1 38.000 (37.894)	Prec@5 68.500 (68.754)
Epoch: [27][6880/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5263 (2.5414)	Prec@1 35.000 (37.896)	Prec@5 69.500 (68.756)
Epoch: [27][6890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6824 (2.5414)	Prec@1 35.500 (37.897)	Prec@5 67.500 (68.754)
Epoch: [27][6900/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8353 (2.5415)	Prec@1 31.500 (37.895)	Prec@5 66.000 (68.754)
Epoch: [27][6910/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.5937 (2.5415)	Prec@1 37.500 (37.895)	Prec@5 68.500 (68.752)
Epoch: [27][6920/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3906 (2.5416)	Prec@1 36.500 (37.893)	Prec@5 75.000 (68.751)
Epoch: [27][6930/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7302 (2.5418)	Prec@1 34.500 (37.892)	Prec@5 65.500 (68.749)
Epoch: [27][6940/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3850 (2.5417)	Prec@1 37.000 (37.892)	Prec@5 72.500 (68.751)
Epoch: [27][6950/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5874 (2.5417)	Prec@1 36.000 (37.892)	Prec@5 66.500 (68.751)
Epoch: [27][6960/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4001 (2.5417)	Prec@1 40.000 (37.892)	Prec@5 68.500 (68.751)
Epoch: [27][6970/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.5641 (2.5418)	Prec@1 39.500 (37.891)	Prec@5 66.000 (68.750)
Epoch: [27][6980/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7184 (2.5417)	Prec@1 34.500 (37.892)	Prec@5 68.500 (68.752)
Epoch: [27][6990/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4765 (2.5418)	Prec@1 40.000 (37.892)	Prec@5 69.000 (68.751)
Epoch: [27][7000/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5137 (2.5419)	Prec@1 39.000 (37.892)	Prec@5 72.000 (68.749)
Epoch: [27][7010/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5861 (2.5418)	Prec@1 38.500 (37.894)	Prec@5 71.500 (68.751)
Epoch: [27][7020/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.8094 (2.5418)	Prec@1 33.500 (37.895)	Prec@5 62.000 (68.754)
Epoch: [27][7030/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4609 (2.5418)	Prec@1 40.000 (37.896)	Prec@5 74.500 (68.755)
Epoch: [27][7040/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6107 (2.5419)	Prec@1 36.000 (37.894)	Prec@5 68.000 (68.753)
Epoch: [27][7050/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6198 (2.5420)	Prec@1 33.000 (37.892)	Prec@5 65.500 (68.751)
Epoch: [27][7060/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5347 (2.5420)	Prec@1 37.500 (37.891)	Prec@5 68.000 (68.750)
Epoch: [27][7070/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5062 (2.5420)	Prec@1 37.500 (37.894)	Prec@5 69.000 (68.748)
Epoch: [27][7080/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.1818 (2.5420)	Prec@1 45.500 (37.894)	Prec@5 78.000 (68.748)
Epoch: [27][7090/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7066 (2.5420)	Prec@1 37.500 (37.895)	Prec@5 67.000 (68.749)
Epoch: [27][7100/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6186 (2.5421)	Prec@1 36.000 (37.894)	Prec@5 68.500 (68.749)
Epoch: [27][7110/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5309 (2.5421)	Prec@1 36.500 (37.895)	Prec@5 67.000 (68.748)
Epoch: [27][7120/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.7099 (2.5420)	Prec@1 34.500 (37.897)	Prec@5 65.000 (68.751)
Epoch: [27][7130/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6595 (2.5419)	Prec@1 35.000 (37.896)	Prec@5 71.000 (68.752)
Epoch: [27][7140/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5822 (2.5421)	Prec@1 37.500 (37.893)	Prec@5 65.000 (68.750)
Epoch: [27][7150/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4457 (2.5421)	Prec@1 36.500 (37.892)	Prec@5 72.000 (68.750)
Epoch: [27][7160/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6559 (2.5422)	Prec@1 35.500 (37.891)	Prec@5 68.000 (68.749)
Epoch: [27][7170/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4111 (2.5422)	Prec@1 42.000 (37.892)	Prec@5 72.000 (68.749)
Epoch: [27][7180/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7022 (2.5422)	Prec@1 38.500 (37.893)	Prec@5 65.500 (68.747)
Epoch: [27][7190/9018]	Time 0.586 (0.615)	Data 0.001 (0.001)	Loss 2.3761 (2.5422)	Prec@1 40.500 (37.895)	Prec@5 72.500 (68.746)
Epoch: [27][7200/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5177 (2.5422)	Prec@1 34.500 (37.895)	Prec@5 68.500 (68.746)
Epoch: [27][7210/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4541 (2.5420)	Prec@1 36.500 (37.897)	Prec@5 67.500 (68.749)
Epoch: [27][7220/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4283 (2.5419)	Prec@1 41.000 (37.898)	Prec@5 70.500 (68.752)
Epoch: [27][7230/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7149 (2.5419)	Prec@1 33.000 (37.896)	Prec@5 64.000 (68.751)
Epoch: [27][7240/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5914 (2.5420)	Prec@1 41.500 (37.895)	Prec@5 66.500 (68.749)
Epoch: [27][7250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4414 (2.5419)	Prec@1 42.500 (37.895)	Prec@5 74.000 (68.751)
Epoch: [27][7260/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5410 (2.5421)	Prec@1 41.000 (37.892)	Prec@5 70.000 (68.748)
Epoch: [27][7270/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5373 (2.5421)	Prec@1 36.500 (37.891)	Prec@5 70.000 (68.747)
Epoch: [27][7280/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4645 (2.5420)	Prec@1 35.000 (37.891)	Prec@5 69.500 (68.748)
Epoch: [27][7290/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5552 (2.5421)	Prec@1 39.000 (37.892)	Prec@5 67.500 (68.747)
Epoch: [27][7300/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.3982 (2.5421)	Prec@1 40.000 (37.894)	Prec@5 71.500 (68.744)
Epoch: [27][7310/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4575 (2.5421)	Prec@1 37.000 (37.893)	Prec@5 67.500 (68.742)
Epoch: [27][7320/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.8215 (2.5422)	Prec@1 36.000 (37.892)	Prec@5 63.500 (68.741)
Epoch: [27][7330/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4125 (2.5421)	Prec@1 40.000 (37.893)	Prec@5 70.000 (68.745)
Epoch: [27][7340/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6386 (2.5421)	Prec@1 34.500 (37.894)	Prec@5 71.000 (68.746)
Epoch: [27][7350/9018]	Time 0.705 (0.615)	Data 0.001 (0.001)	Loss 2.5781 (2.5421)	Prec@1 35.500 (37.892)	Prec@5 67.500 (68.743)
Epoch: [27][7360/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7028 (2.5422)	Prec@1 31.500 (37.891)	Prec@5 67.000 (68.742)
Epoch: [27][7370/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5215 (2.5422)	Prec@1 38.500 (37.889)	Prec@5 68.500 (68.740)
Epoch: [27][7380/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6525 (2.5422)	Prec@1 35.500 (37.888)	Prec@5 65.500 (68.740)
Epoch: [27][7390/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5634 (2.5422)	Prec@1 39.000 (37.889)	Prec@5 68.500 (68.742)
Epoch: [27][7400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4866 (2.5422)	Prec@1 40.500 (37.890)	Prec@5 67.000 (68.741)
Epoch: [27][7410/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6124 (2.5423)	Prec@1 33.000 (37.889)	Prec@5 67.500 (68.739)
Epoch: [27][7420/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2838 (2.5423)	Prec@1 43.500 (37.890)	Prec@5 69.500 (68.740)
Epoch: [27][7430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4262 (2.5422)	Prec@1 42.000 (37.890)	Prec@5 72.000 (68.740)
Epoch: [27][7440/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6434 (2.5423)	Prec@1 32.000 (37.890)	Prec@5 69.000 (68.738)
Epoch: [27][7450/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4231 (2.5422)	Prec@1 45.000 (37.889)	Prec@5 71.500 (68.739)
Epoch: [27][7460/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5530 (2.5423)	Prec@1 37.000 (37.889)	Prec@5 67.500 (68.738)
Epoch: [27][7470/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4584 (2.5423)	Prec@1 40.000 (37.887)	Prec@5 71.500 (68.738)
Epoch: [27][7480/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7038 (2.5423)	Prec@1 37.000 (37.888)	Prec@5 65.500 (68.738)
Epoch: [27][7490/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6014 (2.5423)	Prec@1 35.500 (37.887)	Prec@5 63.000 (68.736)
Epoch: [27][7500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7260 (2.5425)	Prec@1 37.500 (37.885)	Prec@5 64.000 (68.733)
Epoch: [27][7510/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5951 (2.5425)	Prec@1 39.000 (37.885)	Prec@5 68.500 (68.734)
Epoch: [27][7520/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4960 (2.5424)	Prec@1 34.000 (37.885)	Prec@5 69.500 (68.733)
Epoch: [27][7530/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3663 (2.5425)	Prec@1 42.000 (37.883)	Prec@5 71.500 (68.732)
Epoch: [27][7540/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5889 (2.5426)	Prec@1 36.500 (37.882)	Prec@5 70.000 (68.731)
Epoch: [27][7550/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6596 (2.5426)	Prec@1 36.000 (37.882)	Prec@5 65.500 (68.731)
Epoch: [27][7560/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5193 (2.5427)	Prec@1 40.500 (37.881)	Prec@5 70.500 (68.729)
Epoch: [27][7570/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6317 (2.5427)	Prec@1 34.000 (37.880)	Prec@5 67.000 (68.727)
Epoch: [27][7580/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6617 (2.5428)	Prec@1 32.500 (37.878)	Prec@5 66.000 (68.727)
Epoch: [27][7590/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7739 (2.5428)	Prec@1 34.000 (37.878)	Prec@5 70.000 (68.727)
Epoch: [27][7600/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5867 (2.5427)	Prec@1 39.000 (37.881)	Prec@5 69.500 (68.731)
Epoch: [27][7610/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5221 (2.5427)	Prec@1 36.500 (37.881)	Prec@5 68.000 (68.729)
Epoch: [27][7620/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5798 (2.5427)	Prec@1 36.500 (37.880)	Prec@5 66.000 (68.728)
Epoch: [27][7630/9018]	Time 0.705 (0.615)	Data 0.001 (0.001)	Loss 2.7682 (2.5428)	Prec@1 31.500 (37.879)	Prec@5 67.000 (68.728)
Epoch: [27][7640/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5724 (2.5428)	Prec@1 40.000 (37.880)	Prec@5 69.500 (68.726)
Epoch: [27][7650/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4012 (2.5428)	Prec@1 37.500 (37.879)	Prec@5 72.500 (68.727)
Epoch: [27][7660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6238 (2.5427)	Prec@1 35.000 (37.881)	Prec@5 72.000 (68.730)
Epoch: [27][7670/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4671 (2.5428)	Prec@1 37.000 (37.879)	Prec@5 72.000 (68.729)
Epoch: [27][7680/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.5038 (2.5428)	Prec@1 40.000 (37.880)	Prec@5 71.000 (68.730)
Epoch: [27][7690/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7226 (2.5428)	Prec@1 34.000 (37.880)	Prec@5 64.500 (68.730)
Epoch: [27][7700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6718 (2.5429)	Prec@1 38.500 (37.878)	Prec@5 63.500 (68.729)
Epoch: [27][7710/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4469 (2.5429)	Prec@1 36.000 (37.877)	Prec@5 73.000 (68.728)
Epoch: [27][7720/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4434 (2.5429)	Prec@1 40.500 (37.875)	Prec@5 70.500 (68.728)
Epoch: [27][7730/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5007 (2.5429)	Prec@1 38.500 (37.874)	Prec@5 67.000 (68.727)
Epoch: [27][7740/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5505 (2.5429)	Prec@1 37.000 (37.875)	Prec@5 67.500 (68.728)
Epoch: [27][7750/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6085 (2.5429)	Prec@1 38.000 (37.874)	Prec@5 68.500 (68.727)
Epoch: [27][7760/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5677 (2.5430)	Prec@1 40.500 (37.872)	Prec@5 69.000 (68.728)
Epoch: [27][7770/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5801 (2.5429)	Prec@1 37.500 (37.875)	Prec@5 64.000 (68.729)
Epoch: [27][7780/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4636 (2.5429)	Prec@1 40.500 (37.876)	Prec@5 72.000 (68.730)
Epoch: [27][7790/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5513 (2.5430)	Prec@1 40.500 (37.875)	Prec@5 68.500 (68.729)
Epoch: [27][7800/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3569 (2.5430)	Prec@1 36.500 (37.874)	Prec@5 70.500 (68.729)
Epoch: [27][7810/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4049 (2.5429)	Prec@1 40.000 (37.875)	Prec@5 73.500 (68.732)
Epoch: [27][7820/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1948 (2.5428)	Prec@1 47.000 (37.877)	Prec@5 74.000 (68.733)
Epoch: [27][7830/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5490 (2.5427)	Prec@1 33.500 (37.876)	Prec@5 65.000 (68.733)
Epoch: [27][7840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6313 (2.5427)	Prec@1 36.500 (37.877)	Prec@5 63.500 (68.735)
Epoch: [27][7850/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6083 (2.5426)	Prec@1 36.500 (37.877)	Prec@5 66.500 (68.736)
Epoch: [27][7860/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4551 (2.5426)	Prec@1 39.500 (37.879)	Prec@5 66.500 (68.736)
Epoch: [27][7870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.8680 (2.5426)	Prec@1 31.500 (37.879)	Prec@5 65.500 (68.736)
Epoch: [27][7880/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4124 (2.5426)	Prec@1 39.500 (37.879)	Prec@5 73.500 (68.737)
Epoch: [27][7890/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5688 (2.5426)	Prec@1 37.500 (37.882)	Prec@5 65.500 (68.736)
Epoch: [27][7900/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5130 (2.5425)	Prec@1 44.500 (37.884)	Prec@5 70.000 (68.738)
Epoch: [27][7910/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.3955 (2.5424)	Prec@1 40.000 (37.884)	Prec@5 68.500 (68.739)
Epoch: [27][7920/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4921 (2.5425)	Prec@1 39.500 (37.882)	Prec@5 68.500 (68.740)
Epoch: [27][7930/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6152 (2.5425)	Prec@1 36.500 (37.883)	Prec@5 68.000 (68.739)
Epoch: [27][7940/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5502 (2.5425)	Prec@1 38.000 (37.883)	Prec@5 67.000 (68.738)
Epoch: [27][7950/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3252 (2.5425)	Prec@1 43.500 (37.884)	Prec@5 72.000 (68.738)
Epoch: [27][7960/9018]	Time 0.755 (0.615)	Data 0.001 (0.001)	Loss 2.4720 (2.5425)	Prec@1 41.500 (37.884)	Prec@5 70.500 (68.738)
Epoch: [27][7970/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5663 (2.5425)	Prec@1 40.500 (37.885)	Prec@5 71.000 (68.739)
Epoch: [27][7980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4311 (2.5426)	Prec@1 37.000 (37.884)	Prec@5 69.500 (68.737)
Epoch: [27][7990/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6930 (2.5426)	Prec@1 33.500 (37.882)	Prec@5 67.000 (68.736)
Epoch: [27][8000/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4132 (2.5426)	Prec@1 43.000 (37.883)	Prec@5 71.500 (68.737)
Epoch: [27][8010/9018]	Time 0.703 (0.615)	Data 0.001 (0.001)	Loss 2.6761 (2.5426)	Prec@1 35.500 (37.882)	Prec@5 67.000 (68.737)
Epoch: [27][8020/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.6186 (2.5427)	Prec@1 31.000 (37.880)	Prec@5 67.500 (68.734)
Epoch: [27][8030/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4577 (2.5427)	Prec@1 38.000 (37.880)	Prec@5 71.000 (68.734)
Epoch: [27][8040/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5845 (2.5427)	Prec@1 36.500 (37.879)	Prec@5 71.000 (68.733)
Epoch: [27][8050/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.3394 (2.5428)	Prec@1 41.500 (37.878)	Prec@5 73.500 (68.733)
Epoch: [27][8060/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5478 (2.5427)	Prec@1 38.000 (37.878)	Prec@5 67.500 (68.734)
Epoch: [27][8070/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5222 (2.5428)	Prec@1 43.000 (37.877)	Prec@5 70.000 (68.732)
Epoch: [27][8080/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7079 (2.5428)	Prec@1 31.500 (37.877)	Prec@5 61.500 (68.731)
Epoch: [27][8090/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5143 (2.5429)	Prec@1 39.000 (37.877)	Prec@5 68.000 (68.730)
Epoch: [27][8100/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6703 (2.5429)	Prec@1 36.500 (37.876)	Prec@5 65.500 (68.728)
Epoch: [27][8110/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4307 (2.5428)	Prec@1 40.500 (37.877)	Prec@5 69.500 (68.729)
Epoch: [27][8120/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6763 (2.5429)	Prec@1 34.000 (37.875)	Prec@5 65.500 (68.728)
Epoch: [27][8130/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5389 (2.5429)	Prec@1 41.500 (37.876)	Prec@5 71.000 (68.728)
Epoch: [27][8140/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4051 (2.5430)	Prec@1 43.000 (37.874)	Prec@5 75.000 (68.727)
Epoch: [27][8150/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5075 (2.5430)	Prec@1 37.500 (37.874)	Prec@5 68.500 (68.727)
Epoch: [27][8160/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.8836 (2.5430)	Prec@1 29.000 (37.872)	Prec@5 64.000 (68.727)
Epoch: [27][8170/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4005 (2.5429)	Prec@1 41.000 (37.872)	Prec@5 71.500 (68.728)
Epoch: [27][8180/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5591 (2.5430)	Prec@1 34.500 (37.870)	Prec@5 67.500 (68.726)
Epoch: [27][8190/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7424 (2.5431)	Prec@1 38.500 (37.869)	Prec@5 66.500 (68.724)
Epoch: [27][8200/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5653 (2.5432)	Prec@1 38.500 (37.870)	Prec@5 67.500 (68.725)
Epoch: [27][8210/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3865 (2.5431)	Prec@1 39.000 (37.871)	Prec@5 73.000 (68.725)
Epoch: [27][8220/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5121 (2.5431)	Prec@1 37.000 (37.870)	Prec@5 69.500 (68.724)
Epoch: [27][8230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2531 (2.5431)	Prec@1 42.500 (37.871)	Prec@5 73.000 (68.726)
Epoch: [27][8240/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6386 (2.5431)	Prec@1 35.500 (37.871)	Prec@5 65.500 (68.727)
Epoch: [27][8250/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4643 (2.5431)	Prec@1 39.500 (37.872)	Prec@5 69.500 (68.726)
Epoch: [27][8260/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6352 (2.5430)	Prec@1 37.500 (37.873)	Prec@5 66.000 (68.726)
Epoch: [27][8270/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3628 (2.5430)	Prec@1 45.000 (37.873)	Prec@5 73.000 (68.728)
Epoch: [27][8280/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4158 (2.5430)	Prec@1 40.000 (37.872)	Prec@5 73.500 (68.729)
Epoch: [27][8290/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.5381 (2.5430)	Prec@1 38.000 (37.874)	Prec@5 69.500 (68.729)
Epoch: [27][8300/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6785 (2.5431)	Prec@1 35.500 (37.872)	Prec@5 66.500 (68.727)
Epoch: [27][8310/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6848 (2.5432)	Prec@1 36.000 (37.870)	Prec@5 69.000 (68.726)
Epoch: [27][8320/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5445 (2.5433)	Prec@1 38.500 (37.868)	Prec@5 67.500 (68.723)
Epoch: [27][8330/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.8830 (2.5433)	Prec@1 28.500 (37.867)	Prec@5 66.000 (68.723)
Epoch: [27][8340/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.3701 (2.5433)	Prec@1 41.000 (37.869)	Prec@5 71.500 (68.724)
Epoch: [27][8350/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7185 (2.5434)	Prec@1 33.500 (37.867)	Prec@5 64.000 (68.723)
Epoch: [27][8360/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5307 (2.5434)	Prec@1 40.000 (37.866)	Prec@5 71.500 (68.722)
Epoch: [27][8370/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4205 (2.5434)	Prec@1 42.500 (37.867)	Prec@5 72.000 (68.724)
Epoch: [27][8380/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5229 (2.5434)	Prec@1 36.000 (37.865)	Prec@5 72.000 (68.724)
Epoch: [27][8390/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4409 (2.5433)	Prec@1 40.500 (37.865)	Prec@5 72.000 (68.725)
Epoch: [27][8400/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6221 (2.5432)	Prec@1 37.500 (37.868)	Prec@5 68.000 (68.728)
Epoch: [27][8410/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5465 (2.5432)	Prec@1 36.500 (37.868)	Prec@5 68.000 (68.727)
Epoch: [27][8420/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5699 (2.5432)	Prec@1 35.500 (37.868)	Prec@5 67.000 (68.726)
Epoch: [27][8430/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3664 (2.5432)	Prec@1 43.500 (37.870)	Prec@5 71.000 (68.726)
Epoch: [27][8440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6989 (2.5433)	Prec@1 32.500 (37.868)	Prec@5 66.000 (68.724)
Epoch: [27][8450/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.7014 (2.5432)	Prec@1 36.500 (37.870)	Prec@5 63.000 (68.726)
Epoch: [27][8460/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5509 (2.5432)	Prec@1 42.000 (37.869)	Prec@5 68.500 (68.724)
Epoch: [27][8470/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3362 (2.5432)	Prec@1 41.500 (37.869)	Prec@5 73.000 (68.725)
Epoch: [27][8480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3841 (2.5432)	Prec@1 40.000 (37.869)	Prec@5 71.000 (68.726)
Epoch: [27][8490/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5967 (2.5433)	Prec@1 36.000 (37.867)	Prec@5 66.000 (68.723)
Epoch: [27][8500/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4953 (2.5434)	Prec@1 40.500 (37.866)	Prec@5 72.500 (68.723)
Epoch: [27][8510/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5596 (2.5434)	Prec@1 36.000 (37.865)	Prec@5 69.500 (68.724)
Epoch: [27][8520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4919 (2.5434)	Prec@1 38.000 (37.864)	Prec@5 69.500 (68.723)
Epoch: [27][8530/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7502 (2.5434)	Prec@1 37.000 (37.865)	Prec@5 62.500 (68.721)
Epoch: [27][8540/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5600 (2.5434)	Prec@1 34.000 (37.864)	Prec@5 66.000 (68.722)
Epoch: [27][8550/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5139 (2.5434)	Prec@1 36.500 (37.864)	Prec@5 70.000 (68.721)
Epoch: [27][8560/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4446 (2.5434)	Prec@1 38.000 (37.864)	Prec@5 74.000 (68.722)
Epoch: [27][8570/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8029 (2.5435)	Prec@1 35.000 (37.864)	Prec@5 61.000 (68.720)
Epoch: [27][8580/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3362 (2.5434)	Prec@1 45.500 (37.864)	Prec@5 74.000 (68.720)
Epoch: [27][8590/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6585 (2.5435)	Prec@1 40.500 (37.864)	Prec@5 69.500 (68.719)
Epoch: [27][8600/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3517 (2.5435)	Prec@1 39.000 (37.863)	Prec@5 73.000 (68.718)
Epoch: [27][8610/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6684 (2.5436)	Prec@1 33.500 (37.861)	Prec@5 62.500 (68.716)
Epoch: [27][8620/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.3840 (2.5437)	Prec@1 40.500 (37.861)	Prec@5 71.000 (68.716)
Epoch: [27][8630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5980 (2.5437)	Prec@1 32.000 (37.859)	Prec@5 68.500 (68.715)
Epoch: [27][8640/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6652 (2.5437)	Prec@1 35.500 (37.860)	Prec@5 69.500 (68.716)
Epoch: [27][8650/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5872 (2.5438)	Prec@1 38.000 (37.857)	Prec@5 66.500 (68.714)
Epoch: [27][8660/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.7144 (2.5440)	Prec@1 31.500 (37.854)	Prec@5 67.500 (68.711)
Epoch: [27][8670/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.5121 (2.5440)	Prec@1 36.500 (37.851)	Prec@5 69.500 (68.710)
Epoch: [27][8680/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4050 (2.5440)	Prec@1 39.000 (37.851)	Prec@5 73.500 (68.710)
Epoch: [27][8690/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4863 (2.5441)	Prec@1 38.500 (37.852)	Prec@5 71.000 (68.711)
Epoch: [27][8700/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5166 (2.5441)	Prec@1 34.500 (37.852)	Prec@5 71.000 (68.711)
Epoch: [27][8710/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4732 (2.5440)	Prec@1 39.000 (37.853)	Prec@5 71.000 (68.712)
Epoch: [27][8720/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7320 (2.5440)	Prec@1 35.000 (37.854)	Prec@5 66.000 (68.711)
Epoch: [27][8730/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5409 (2.5440)	Prec@1 41.000 (37.855)	Prec@5 69.000 (68.710)
Epoch: [27][8740/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3243 (2.5440)	Prec@1 39.500 (37.855)	Prec@5 72.500 (68.711)
Epoch: [27][8750/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5346 (2.5439)	Prec@1 39.500 (37.856)	Prec@5 70.500 (68.714)
Epoch: [27][8760/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3762 (2.5439)	Prec@1 39.500 (37.857)	Prec@5 73.500 (68.714)
Epoch: [27][8770/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.2583 (2.5439)	Prec@1 43.500 (37.858)	Prec@5 75.500 (68.715)
Epoch: [27][8780/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4066 (2.5439)	Prec@1 39.000 (37.857)	Prec@5 71.000 (68.715)
Epoch: [27][8790/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4742 (2.5439)	Prec@1 42.500 (37.856)	Prec@5 68.000 (68.714)
Epoch: [27][8800/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4193 (2.5439)	Prec@1 39.000 (37.856)	Prec@5 72.500 (68.716)
Epoch: [27][8810/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.3888 (2.5439)	Prec@1 43.500 (37.854)	Prec@5 71.000 (68.716)
Epoch: [27][8820/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4330 (2.5438)	Prec@1 39.500 (37.855)	Prec@5 71.000 (68.718)
Epoch: [27][8830/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.2770 (2.5437)	Prec@1 46.500 (37.857)	Prec@5 75.000 (68.720)
Epoch: [27][8840/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5236 (2.5438)	Prec@1 33.000 (37.856)	Prec@5 67.000 (68.717)
Epoch: [27][8850/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6764 (2.5438)	Prec@1 34.000 (37.857)	Prec@5 62.000 (68.717)
Epoch: [27][8860/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7166 (2.5439)	Prec@1 38.500 (37.855)	Prec@5 63.500 (68.715)
Epoch: [27][8870/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3884 (2.5438)	Prec@1 38.500 (37.856)	Prec@5 71.000 (68.718)
Epoch: [27][8880/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4577 (2.5438)	Prec@1 36.000 (37.855)	Prec@5 70.000 (68.717)
Epoch: [27][8890/9018]	Time 0.603 (0.615)	Data 0.002 (0.001)	Loss 2.3413 (2.5438)	Prec@1 43.000 (37.855)	Prec@5 67.500 (68.715)
Epoch: [27][8900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3495 (2.5438)	Prec@1 43.000 (37.855)	Prec@5 76.500 (68.713)
Epoch: [27][8910/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5446 (2.5438)	Prec@1 38.000 (37.855)	Prec@5 67.500 (68.713)
Epoch: [27][8920/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6259 (2.5438)	Prec@1 37.000 (37.854)	Prec@5 67.000 (68.713)
Epoch: [27][8930/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6482 (2.5438)	Prec@1 35.000 (37.854)	Prec@5 65.000 (68.713)
Epoch: [27][8940/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6084 (2.5438)	Prec@1 38.000 (37.854)	Prec@5 65.500 (68.713)
Epoch: [27][8950/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.8146 (2.5438)	Prec@1 36.500 (37.854)	Prec@5 66.000 (68.712)
Epoch: [27][8960/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5119 (2.5438)	Prec@1 37.500 (37.854)	Prec@5 67.500 (68.713)
Epoch: [27][8970/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6049 (2.5438)	Prec@1 35.000 (37.854)	Prec@5 69.500 (68.713)
Epoch: [27][8980/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6137 (2.5439)	Prec@1 35.500 (37.852)	Prec@5 69.000 (68.712)
Epoch: [27][8990/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4962 (2.5439)	Prec@1 40.500 (37.851)	Prec@5 67.500 (68.710)
Epoch: [27][9000/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.6714 (2.5439)	Prec@1 32.500 (37.852)	Prec@5 66.000 (68.708)
Epoch: [27][9010/9018]	Time 0.604 (0.615)	Data 0.000 (0.001)	Loss 2.3671 (2.5439)	Prec@1 42.500 (37.853)	Prec@5 73.000 (68.709)
Test: [0/183]	Time 1.407 (1.407)	Loss 3.1536 (3.1536)	Prec@1 19.000 (19.000)	Prec@5 55.000 (55.000)
Test: [10/183]	Time 0.189 (0.303)	Loss 1.7289 (2.2818)	Prec@1 58.500 (41.182)	Prec@5 81.000 (73.591)
Test: [20/183]	Time 0.190 (0.254)	Loss 2.8800 (2.2714)	Prec@1 29.500 (41.405)	Prec@5 61.500 (73.690)
Test: [30/183]	Time 0.184 (0.233)	Loss 3.3973 (2.2414)	Prec@1 16.000 (42.242)	Prec@5 53.500 (74.597)
Test: [40/183]	Time 0.193 (0.225)	Loss 2.2383 (2.1886)	Prec@1 40.500 (44.573)	Prec@5 78.500 (75.073)
Test: [50/183]	Time 0.187 (0.219)	Loss 1.9893 (2.1992)	Prec@1 47.000 (44.373)	Prec@5 82.000 (74.990)
Test: [60/183]	Time 0.195 (0.215)	Loss 2.4396 (2.2341)	Prec@1 37.000 (43.303)	Prec@5 72.500 (74.533)
Test: [70/183]	Time 0.185 (0.213)	Loss 2.0386 (2.2056)	Prec@1 44.500 (43.901)	Prec@5 79.000 (75.155)
Test: [80/183]	Time 0.186 (0.210)	Loss 2.0710 (2.2108)	Prec@1 38.500 (43.586)	Prec@5 82.000 (75.111)
Test: [90/183]	Time 0.180 (0.208)	Loss 2.7632 (2.1986)	Prec@1 30.500 (43.692)	Prec@5 66.000 (75.451)
Test: [100/183]	Time 0.190 (0.207)	Loss 1.3241 (2.1972)	Prec@1 66.000 (43.748)	Prec@5 88.000 (75.515)
Test: [110/183]	Time 0.188 (0.205)	Loss 0.9509 (2.1892)	Prec@1 75.000 (43.883)	Prec@5 95.000 (75.631)
Test: [120/183]	Time 0.185 (0.205)	Loss 2.3968 (2.1981)	Prec@1 38.000 (43.393)	Prec@5 70.500 (75.669)
Test: [130/183]	Time 0.196 (0.204)	Loss 3.8195 (2.2218)	Prec@1 9.000 (42.760)	Prec@5 47.000 (75.454)
Test: [140/183]	Time 0.183 (0.204)	Loss 2.0593 (2.2010)	Prec@1 45.500 (43.333)	Prec@5 78.000 (75.851)
Test: [150/183]	Time 0.186 (0.203)	Loss 1.2227 (2.1965)	Prec@1 67.000 (43.407)	Prec@5 93.500 (75.980)
Test: [160/183]	Time 0.191 (0.202)	Loss 2.0168 (2.1971)	Prec@1 45.500 (43.503)	Prec@5 80.000 (75.944)
Test: [170/183]	Time 0.184 (0.202)	Loss 3.6069 (2.2227)	Prec@1 6.500 (42.901)	Prec@5 52.500 (75.462)
Test: [180/183]	Time 0.180 (0.201)	Loss 3.1113 (2.2307)	Prec@1 22.500 (42.845)	Prec@5 61.000 (75.320)
 * Prec@1 42.866 Prec@5 75.299
Epoch: [28][0/9018]	Time 2.733 (2.733)	Data 2.088 (2.088)	Loss 2.4809 (2.4809)	Prec@1 36.500 (36.500)	Prec@5 73.000 (73.000)
Epoch: [28][10/9018]	Time 0.588 (0.787)	Data 0.001 (0.190)	Loss 2.3654 (2.5369)	Prec@1 44.000 (38.818)	Prec@5 73.500 (68.864)
Epoch: [28][20/9018]	Time 0.593 (0.703)	Data 0.001 (0.100)	Loss 2.5062 (2.5491)	Prec@1 35.000 (38.095)	Prec@5 69.500 (68.571)
Epoch: [28][30/9018]	Time 0.730 (0.677)	Data 0.001 (0.068)	Loss 2.7068 (2.5684)	Prec@1 31.500 (37.371)	Prec@5 64.500 (68.113)
Epoch: [28][40/9018]	Time 0.600 (0.659)	Data 0.001 (0.052)	Loss 2.5097 (2.5574)	Prec@1 40.500 (37.744)	Prec@5 70.000 (68.549)
Epoch: [28][50/9018]	Time 0.593 (0.650)	Data 0.001 (0.042)	Loss 2.5010 (2.5707)	Prec@1 40.000 (37.314)	Prec@5 70.500 (68.235)
Epoch: [28][60/9018]	Time 0.632 (0.644)	Data 0.001 (0.035)	Loss 2.1977 (2.5680)	Prec@1 44.500 (37.369)	Prec@5 77.500 (68.205)
Epoch: [28][70/9018]	Time 0.618 (0.640)	Data 0.001 (0.030)	Loss 2.5156 (2.5631)	Prec@1 40.000 (37.415)	Prec@5 70.500 (68.345)
Epoch: [28][80/9018]	Time 0.757 (0.638)	Data 0.001 (0.027)	Loss 2.3408 (2.5446)	Prec@1 44.000 (37.765)	Prec@5 73.000 (68.759)
Epoch: [28][90/9018]	Time 0.602 (0.635)	Data 0.001 (0.024)	Loss 2.6229 (2.5461)	Prec@1 37.000 (37.797)	Prec@5 65.500 (68.703)
Epoch: [28][100/9018]	Time 0.599 (0.634)	Data 0.001 (0.021)	Loss 2.2711 (2.5397)	Prec@1 44.500 (37.911)	Prec@5 71.500 (68.822)
Epoch: [28][110/9018]	Time 0.608 (0.632)	Data 0.001 (0.020)	Loss 2.6357 (2.5414)	Prec@1 38.000 (37.887)	Prec@5 71.000 (68.748)
Epoch: [28][120/9018]	Time 0.603 (0.631)	Data 0.001 (0.018)	Loss 2.4887 (2.5425)	Prec@1 39.000 (37.959)	Prec@5 70.000 (68.669)
Epoch: [28][130/9018]	Time 0.634 (0.630)	Data 0.001 (0.017)	Loss 2.3859 (2.5421)	Prec@1 40.500 (37.905)	Prec@5 73.500 (68.603)
Epoch: [28][140/9018]	Time 0.620 (0.629)	Data 0.001 (0.016)	Loss 2.3727 (2.5386)	Prec@1 43.500 (38.014)	Prec@5 67.000 (68.635)
Epoch: [28][150/9018]	Time 0.604 (0.628)	Data 0.001 (0.015)	Loss 2.5502 (2.5382)	Prec@1 37.000 (37.934)	Prec@5 69.500 (68.632)
Epoch: [28][160/9018]	Time 0.615 (0.627)	Data 0.001 (0.014)	Loss 2.4831 (2.5402)	Prec@1 39.500 (37.922)	Prec@5 67.000 (68.621)
Epoch: [28][170/9018]	Time 0.623 (0.626)	Data 0.001 (0.013)	Loss 2.5729 (2.5396)	Prec@1 37.500 (37.883)	Prec@5 70.500 (68.652)
Epoch: [28][180/9018]	Time 0.611 (0.626)	Data 0.001 (0.012)	Loss 2.4840 (2.5407)	Prec@1 39.500 (37.815)	Prec@5 70.000 (68.688)
Epoch: [28][190/9018]	Time 0.610 (0.625)	Data 0.001 (0.012)	Loss 2.4403 (2.5375)	Prec@1 37.500 (37.916)	Prec@5 68.500 (68.785)
Epoch: [28][200/9018]	Time 0.598 (0.625)	Data 0.001 (0.011)	Loss 2.5591 (2.5363)	Prec@1 38.000 (37.938)	Prec@5 70.000 (68.823)
Epoch: [28][210/9018]	Time 0.629 (0.624)	Data 0.001 (0.011)	Loss 2.5880 (2.5371)	Prec@1 40.500 (37.905)	Prec@5 66.000 (68.794)
Epoch: [28][220/9018]	Time 0.624 (0.624)	Data 0.001 (0.010)	Loss 2.4936 (2.5333)	Prec@1 43.000 (37.964)	Prec@5 67.500 (68.923)
Epoch: [28][230/9018]	Time 0.597 (0.623)	Data 0.001 (0.010)	Loss 2.4368 (2.5322)	Prec@1 36.500 (38.006)	Prec@5 70.500 (68.933)
Epoch: [28][240/9018]	Time 0.595 (0.622)	Data 0.001 (0.009)	Loss 2.3879 (2.5321)	Prec@1 39.500 (38.050)	Prec@5 72.500 (68.936)
Epoch: [28][250/9018]	Time 0.605 (0.622)	Data 0.001 (0.009)	Loss 2.4456 (2.5310)	Prec@1 37.000 (38.080)	Prec@5 69.500 (68.922)
Epoch: [28][260/9018]	Time 0.619 (0.622)	Data 0.001 (0.009)	Loss 2.2105 (2.5303)	Prec@1 42.000 (38.067)	Prec@5 75.000 (68.927)
Epoch: [28][270/9018]	Time 0.598 (0.622)	Data 0.001 (0.008)	Loss 2.5209 (2.5269)	Prec@1 39.000 (38.131)	Prec@5 69.500 (68.985)
Epoch: [28][280/9018]	Time 0.600 (0.622)	Data 0.001 (0.008)	Loss 2.6860 (2.5298)	Prec@1 30.500 (38.053)	Prec@5 64.000 (68.916)
Epoch: [28][290/9018]	Time 0.656 (0.621)	Data 0.001 (0.008)	Loss 2.5757 (2.5323)	Prec@1 39.000 (37.983)	Prec@5 64.500 (68.847)
Epoch: [28][300/9018]	Time 0.607 (0.622)	Data 0.001 (0.008)	Loss 2.4653 (2.5300)	Prec@1 41.500 (38.058)	Prec@5 69.500 (68.869)
Epoch: [28][310/9018]	Time 0.608 (0.622)	Data 0.001 (0.007)	Loss 2.8046 (2.5302)	Prec@1 33.500 (38.043)	Prec@5 60.500 (68.847)
Epoch: [28][320/9018]	Time 0.603 (0.621)	Data 0.001 (0.007)	Loss 2.5139 (2.5301)	Prec@1 41.000 (38.050)	Prec@5 73.000 (68.894)
Epoch: [28][330/9018]	Time 0.601 (0.621)	Data 0.001 (0.007)	Loss 2.7174 (2.5311)	Prec@1 36.500 (38.038)	Prec@5 66.000 (68.903)
Epoch: [28][340/9018]	Time 0.598 (0.621)	Data 0.001 (0.007)	Loss 2.5246 (2.5299)	Prec@1 35.000 (37.996)	Prec@5 65.000 (68.902)
Epoch: [28][350/9018]	Time 0.594 (0.621)	Data 0.001 (0.007)	Loss 2.7201 (2.5309)	Prec@1 33.500 (37.954)	Prec@5 62.000 (68.876)
Epoch: [28][360/9018]	Time 0.703 (0.621)	Data 0.001 (0.007)	Loss 2.2092 (2.5305)	Prec@1 42.500 (37.963)	Prec@5 73.500 (68.898)
Epoch: [28][370/9018]	Time 0.608 (0.620)	Data 0.001 (0.006)	Loss 2.6548 (2.5302)	Prec@1 36.500 (37.970)	Prec@5 64.500 (68.898)
Epoch: [28][380/9018]	Time 0.597 (0.620)	Data 0.001 (0.006)	Loss 2.7170 (2.5305)	Prec@1 34.000 (37.972)	Prec@5 69.000 (68.904)
Epoch: [28][390/9018]	Time 0.596 (0.620)	Data 0.001 (0.006)	Loss 2.6360 (2.5301)	Prec@1 38.500 (37.987)	Prec@5 67.000 (68.937)
Epoch: [28][400/9018]	Time 0.602 (0.620)	Data 0.001 (0.006)	Loss 2.5571 (2.5316)	Prec@1 34.500 (37.928)	Prec@5 70.000 (68.935)
Epoch: [28][410/9018]	Time 0.719 (0.620)	Data 0.001 (0.006)	Loss 2.3789 (2.5302)	Prec@1 42.500 (37.964)	Prec@5 76.000 (68.979)
Epoch: [28][420/9018]	Time 0.600 (0.620)	Data 0.001 (0.006)	Loss 2.4809 (2.5301)	Prec@1 38.500 (37.951)	Prec@5 71.500 (68.975)
Epoch: [28][430/9018]	Time 0.593 (0.620)	Data 0.001 (0.006)	Loss 2.2893 (2.5284)	Prec@1 44.000 (37.993)	Prec@5 72.000 (69.013)
Epoch: [28][440/9018]	Time 0.592 (0.619)	Data 0.001 (0.006)	Loss 2.5914 (2.5294)	Prec@1 37.500 (37.976)	Prec@5 68.500 (68.997)
Epoch: [28][450/9018]	Time 0.622 (0.619)	Data 0.001 (0.005)	Loss 2.6031 (2.5285)	Prec@1 31.000 (38.009)	Prec@5 65.500 (69.009)
Epoch: [28][460/9018]	Time 0.600 (0.619)	Data 0.001 (0.005)	Loss 2.5129 (2.5278)	Prec@1 43.000 (38.056)	Prec@5 67.500 (69.021)
Epoch: [28][470/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 2.7453 (2.5277)	Prec@1 30.000 (38.051)	Prec@5 66.500 (69.045)
Epoch: [28][480/9018]	Time 0.591 (0.619)	Data 0.001 (0.005)	Loss 2.5281 (2.5277)	Prec@1 37.500 (38.026)	Prec@5 71.500 (69.030)
Epoch: [28][490/9018]	Time 0.614 (0.619)	Data 0.001 (0.005)	Loss 2.2681 (2.5275)	Prec@1 45.000 (38.036)	Prec@5 73.500 (69.051)
Epoch: [28][500/9018]	Time 0.594 (0.619)	Data 0.001 (0.005)	Loss 2.5796 (2.5276)	Prec@1 36.000 (38.003)	Prec@5 69.500 (69.047)
Epoch: [28][510/9018]	Time 0.607 (0.619)	Data 0.001 (0.005)	Loss 2.3159 (2.5263)	Prec@1 41.500 (38.017)	Prec@5 72.500 (69.076)
Epoch: [28][520/9018]	Time 0.618 (0.619)	Data 0.001 (0.005)	Loss 2.3209 (2.5272)	Prec@1 45.000 (38.009)	Prec@5 74.000 (69.055)
Epoch: [28][530/9018]	Time 0.600 (0.619)	Data 0.001 (0.005)	Loss 2.3974 (2.5265)	Prec@1 40.500 (38.010)	Prec@5 69.000 (69.059)
Epoch: [28][540/9018]	Time 0.638 (0.618)	Data 0.001 (0.005)	Loss 2.6962 (2.5268)	Prec@1 31.000 (37.990)	Prec@5 65.000 (69.032)
Epoch: [28][550/9018]	Time 0.591 (0.618)	Data 0.001 (0.005)	Loss 2.5387 (2.5263)	Prec@1 35.500 (37.975)	Prec@5 70.500 (69.037)
Epoch: [28][560/9018]	Time 0.610 (0.618)	Data 0.001 (0.004)	Loss 2.3940 (2.5264)	Prec@1 40.000 (37.988)	Prec@5 70.500 (69.016)
Epoch: [28][570/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 2.5494 (2.5268)	Prec@1 37.500 (37.980)	Prec@5 69.500 (68.996)
Epoch: [28][580/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.4492 (2.5276)	Prec@1 37.000 (37.967)	Prec@5 67.500 (68.972)
Epoch: [28][590/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 2.4877 (2.5284)	Prec@1 38.000 (37.952)	Prec@5 66.500 (68.957)
Epoch: [28][600/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.1340 (2.5262)	Prec@1 48.500 (38.001)	Prec@5 77.500 (68.978)
Epoch: [28][610/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 2.7436 (2.5266)	Prec@1 41.500 (38.015)	Prec@5 66.000 (68.977)
Epoch: [28][620/9018]	Time 0.623 (0.618)	Data 0.001 (0.004)	Loss 2.9734 (2.5269)	Prec@1 32.000 (38.010)	Prec@5 64.000 (68.981)
Epoch: [28][630/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 2.7324 (2.5271)	Prec@1 34.000 (38.006)	Prec@5 69.500 (68.959)
Epoch: [28][640/9018]	Time 0.607 (0.618)	Data 0.001 (0.004)	Loss 2.5233 (2.5274)	Prec@1 37.500 (38.005)	Prec@5 67.000 (68.954)
Epoch: [28][650/9018]	Time 0.611 (0.618)	Data 0.001 (0.004)	Loss 2.2440 (2.5283)	Prec@1 43.500 (37.988)	Prec@5 73.000 (68.944)
Epoch: [28][660/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 2.6701 (2.5283)	Prec@1 35.500 (37.988)	Prec@5 67.500 (68.966)
Epoch: [28][670/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.3355 (2.5283)	Prec@1 41.000 (37.996)	Prec@5 70.000 (68.974)
Epoch: [28][680/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.5799 (2.5274)	Prec@1 35.500 (38.012)	Prec@5 68.500 (68.985)
Epoch: [28][690/9018]	Time 0.723 (0.618)	Data 0.001 (0.004)	Loss 2.5567 (2.5274)	Prec@1 35.500 (38.017)	Prec@5 69.000 (68.988)
Epoch: [28][700/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.6345 (2.5283)	Prec@1 33.500 (38.004)	Prec@5 68.500 (68.962)
Epoch: [28][710/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 2.4918 (2.5279)	Prec@1 36.500 (38.017)	Prec@5 73.000 (68.981)
Epoch: [28][720/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.6067 (2.5278)	Prec@1 37.500 (38.017)	Prec@5 66.500 (68.976)
Epoch: [28][730/9018]	Time 0.625 (0.617)	Data 0.001 (0.004)	Loss 2.4432 (2.5296)	Prec@1 40.500 (37.998)	Prec@5 72.500 (68.936)
Epoch: [28][740/9018]	Time 0.764 (0.618)	Data 0.001 (0.004)	Loss 2.5590 (2.5288)	Prec@1 40.000 (38.029)	Prec@5 68.500 (68.949)
Epoch: [28][750/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.7199 (2.5288)	Prec@1 35.500 (38.029)	Prec@5 70.000 (68.940)
Epoch: [28][760/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.5362 (2.5295)	Prec@1 38.500 (38.011)	Prec@5 69.500 (68.931)
Epoch: [28][770/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.4052 (2.5290)	Prec@1 37.500 (38.010)	Prec@5 73.500 (68.947)
Epoch: [28][780/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.4557 (2.5286)	Prec@1 40.000 (38.018)	Prec@5 70.500 (68.956)
Epoch: [28][790/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.2660 (2.5294)	Prec@1 47.500 (38.018)	Prec@5 75.500 (68.939)
Epoch: [28][800/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 2.5781 (2.5304)	Prec@1 37.000 (37.996)	Prec@5 69.500 (68.926)
Epoch: [28][810/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 2.6962 (2.5310)	Prec@1 37.000 (37.977)	Prec@5 67.500 (68.916)
Epoch: [28][820/9018]	Time 0.589 (0.617)	Data 0.001 (0.003)	Loss 2.6775 (2.5314)	Prec@1 35.500 (37.953)	Prec@5 68.000 (68.905)
Epoch: [28][830/9018]	Time 0.620 (0.617)	Data 0.001 (0.003)	Loss 2.3753 (2.5308)	Prec@1 42.000 (37.974)	Prec@5 70.500 (68.913)
Epoch: [28][840/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.4981 (2.5306)	Prec@1 33.500 (37.971)	Prec@5 70.000 (68.916)
Epoch: [28][850/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.4677 (2.5307)	Prec@1 38.500 (37.966)	Prec@5 69.500 (68.910)
Epoch: [28][860/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 2.5867 (2.5307)	Prec@1 37.000 (37.955)	Prec@5 69.000 (68.905)
Epoch: [28][870/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 2.6194 (2.5306)	Prec@1 31.000 (37.937)	Prec@5 68.000 (68.918)
Epoch: [28][880/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.4844 (2.5298)	Prec@1 40.000 (37.943)	Prec@5 72.500 (68.936)
Epoch: [28][890/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 2.5619 (2.5315)	Prec@1 41.000 (37.931)	Prec@5 69.000 (68.902)
Epoch: [28][900/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.5120 (2.5312)	Prec@1 38.500 (37.934)	Prec@5 67.000 (68.906)
Epoch: [28][910/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.4993 (2.5308)	Prec@1 39.500 (37.956)	Prec@5 70.000 (68.911)
Epoch: [28][920/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 2.6043 (2.5306)	Prec@1 38.500 (37.958)	Prec@5 67.000 (68.917)
Epoch: [28][930/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 2.3484 (2.5301)	Prec@1 42.000 (37.971)	Prec@5 73.500 (68.940)
Epoch: [28][940/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.4891 (2.5294)	Prec@1 41.000 (37.994)	Prec@5 70.500 (68.959)
Epoch: [28][950/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 2.5266 (2.5298)	Prec@1 42.500 (37.977)	Prec@5 69.500 (68.946)
Epoch: [28][960/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.4120 (2.5300)	Prec@1 45.500 (37.990)	Prec@5 71.000 (68.937)
Epoch: [28][970/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.6500 (2.5308)	Prec@1 38.000 (37.978)	Prec@5 66.000 (68.922)
Epoch: [28][980/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.6154 (2.5307)	Prec@1 40.000 (37.977)	Prec@5 66.000 (68.925)
Epoch: [28][990/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.4419 (2.5306)	Prec@1 42.000 (37.989)	Prec@5 74.500 (68.931)
Epoch: [28][1000/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.4872 (2.5303)	Prec@1 42.000 (38.003)	Prec@5 66.500 (68.935)
Epoch: [28][1010/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.7070 (2.5306)	Prec@1 33.000 (37.989)	Prec@5 61.500 (68.923)
Epoch: [28][1020/9018]	Time 0.747 (0.617)	Data 0.001 (0.003)	Loss 2.4882 (2.5306)	Prec@1 42.000 (37.999)	Prec@5 71.000 (68.937)
Epoch: [28][1030/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.5898 (2.5304)	Prec@1 41.000 (37.999)	Prec@5 63.000 (68.934)
Epoch: [28][1040/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.8723 (2.5313)	Prec@1 31.000 (37.973)	Prec@5 64.000 (68.918)
Epoch: [28][1050/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.5618 (2.5310)	Prec@1 36.000 (37.972)	Prec@5 67.500 (68.929)
Epoch: [28][1060/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 2.6620 (2.5311)	Prec@1 40.000 (37.975)	Prec@5 63.500 (68.926)
Epoch: [28][1070/9018]	Time 0.725 (0.617)	Data 0.001 (0.003)	Loss 2.4749 (2.5310)	Prec@1 36.000 (37.974)	Prec@5 72.000 (68.942)
Epoch: [28][1080/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.5469 (2.5313)	Prec@1 36.000 (37.961)	Prec@5 69.500 (68.941)
Epoch: [28][1090/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.6582 (2.5311)	Prec@1 36.000 (37.956)	Prec@5 66.000 (68.944)
Epoch: [28][1100/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.4202 (2.5317)	Prec@1 38.000 (37.949)	Prec@5 73.000 (68.930)
Epoch: [28][1110/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 2.4667 (2.5317)	Prec@1 41.500 (37.950)	Prec@5 72.000 (68.935)
Epoch: [28][1120/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 2.6246 (2.5320)	Prec@1 41.000 (37.946)	Prec@5 66.500 (68.924)
Epoch: [28][1130/9018]	Time 0.635 (0.617)	Data 0.001 (0.003)	Loss 2.4252 (2.5321)	Prec@1 38.000 (37.940)	Prec@5 68.500 (68.925)
Epoch: [28][1140/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.6706 (2.5324)	Prec@1 36.000 (37.947)	Prec@5 65.500 (68.915)
Epoch: [28][1150/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.4754 (2.5331)	Prec@1 41.000 (37.931)	Prec@5 68.500 (68.896)
Epoch: [28][1160/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 2.6215 (2.5330)	Prec@1 36.000 (37.930)	Prec@5 64.500 (68.894)
Epoch: [28][1170/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.5053 (2.5335)	Prec@1 41.000 (37.929)	Prec@5 68.000 (68.883)
Epoch: [28][1180/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.5562 (2.5334)	Prec@1 40.500 (37.939)	Prec@5 67.000 (68.882)
Epoch: [28][1190/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.4180 (2.5329)	Prec@1 36.500 (37.949)	Prec@5 71.000 (68.884)
Epoch: [28][1200/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.4191 (2.5330)	Prec@1 38.500 (37.945)	Prec@5 72.500 (68.895)
Epoch: [28][1210/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.4118 (2.5335)	Prec@1 41.000 (37.929)	Prec@5 71.000 (68.890)
Epoch: [28][1220/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.5928 (2.5342)	Prec@1 36.000 (37.901)	Prec@5 69.000 (68.877)
Epoch: [28][1230/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 2.5915 (2.5342)	Prec@1 34.500 (37.904)	Prec@5 64.500 (68.872)
Epoch: [28][1240/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.3025 (2.5347)	Prec@1 40.500 (37.900)	Prec@5 75.000 (68.874)
Epoch: [28][1250/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.4936 (2.5347)	Prec@1 37.500 (37.900)	Prec@5 74.500 (68.878)
Epoch: [28][1260/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.3687 (2.5352)	Prec@1 46.500 (37.896)	Prec@5 72.000 (68.869)
Epoch: [28][1270/9018]	Time 0.590 (0.617)	Data 0.001 (0.002)	Loss 2.5853 (2.5350)	Prec@1 39.000 (37.903)	Prec@5 63.000 (68.863)
Epoch: [28][1280/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.5462 (2.5348)	Prec@1 37.500 (37.913)	Prec@5 71.500 (68.870)
Epoch: [28][1290/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.7660 (2.5354)	Prec@1 38.000 (37.905)	Prec@5 63.000 (68.872)
Epoch: [28][1300/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.3719 (2.5351)	Prec@1 42.000 (37.920)	Prec@5 75.000 (68.877)
Epoch: [28][1310/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.4360 (2.5352)	Prec@1 43.000 (37.918)	Prec@5 69.500 (68.881)
Epoch: [28][1320/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.7506 (2.5354)	Prec@1 37.000 (37.919)	Prec@5 67.500 (68.888)
Epoch: [28][1330/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.6051 (2.5359)	Prec@1 34.000 (37.918)	Prec@5 69.500 (68.886)
Epoch: [28][1340/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.7104 (2.5356)	Prec@1 34.000 (37.936)	Prec@5 65.000 (68.881)
Epoch: [28][1350/9018]	Time 0.723 (0.616)	Data 0.001 (0.002)	Loss 2.6620 (2.5356)	Prec@1 35.000 (37.932)	Prec@5 64.500 (68.882)
Epoch: [28][1360/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.5261 (2.5360)	Prec@1 41.000 (37.921)	Prec@5 66.000 (68.871)
Epoch: [28][1370/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4692 (2.5363)	Prec@1 40.000 (37.916)	Prec@5 74.000 (68.867)
Epoch: [28][1380/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.4372 (2.5364)	Prec@1 39.500 (37.916)	Prec@5 72.500 (68.874)
Epoch: [28][1390/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5449 (2.5360)	Prec@1 39.000 (37.920)	Prec@5 71.500 (68.880)
Epoch: [28][1400/9018]	Time 0.749 (0.616)	Data 0.001 (0.002)	Loss 2.2715 (2.5359)	Prec@1 46.000 (37.917)	Prec@5 71.500 (68.884)
Epoch: [28][1410/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4420 (2.5352)	Prec@1 38.000 (37.925)	Prec@5 70.000 (68.893)
Epoch: [28][1420/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.5913 (2.5350)	Prec@1 36.500 (37.923)	Prec@5 66.000 (68.897)
Epoch: [28][1430/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4487 (2.5350)	Prec@1 40.000 (37.921)	Prec@5 70.500 (68.896)
Epoch: [28][1440/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.8939 (2.5355)	Prec@1 29.500 (37.910)	Prec@5 60.000 (68.881)
Epoch: [28][1450/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.3145 (2.5357)	Prec@1 43.000 (37.912)	Prec@5 74.000 (68.874)
Epoch: [28][1460/9018]	Time 0.643 (0.616)	Data 0.001 (0.002)	Loss 2.4650 (2.5350)	Prec@1 39.500 (37.932)	Prec@5 66.500 (68.887)
Epoch: [28][1470/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.3689 (2.5346)	Prec@1 40.500 (37.935)	Prec@5 73.500 (68.893)
Epoch: [28][1480/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.3039 (2.5342)	Prec@1 39.500 (37.941)	Prec@5 75.500 (68.896)
Epoch: [28][1490/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4463 (2.5340)	Prec@1 38.500 (37.947)	Prec@5 72.500 (68.898)
Epoch: [28][1500/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4186 (2.5342)	Prec@1 40.000 (37.941)	Prec@5 70.500 (68.894)
Epoch: [28][1510/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5602 (2.5338)	Prec@1 35.000 (37.938)	Prec@5 67.000 (68.903)
Epoch: [28][1520/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.4995 (2.5337)	Prec@1 37.500 (37.934)	Prec@5 71.500 (68.908)
Epoch: [28][1530/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.6083 (2.5340)	Prec@1 38.500 (37.932)	Prec@5 66.000 (68.898)
Epoch: [28][1540/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4116 (2.5346)	Prec@1 41.500 (37.922)	Prec@5 71.000 (68.889)
Epoch: [28][1550/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.3918 (2.5343)	Prec@1 39.500 (37.930)	Prec@5 71.500 (68.893)
Epoch: [28][1560/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5156 (2.5342)	Prec@1 43.000 (37.938)	Prec@5 68.500 (68.896)
Epoch: [28][1570/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6553 (2.5340)	Prec@1 32.500 (37.937)	Prec@5 67.500 (68.900)
Epoch: [28][1580/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4501 (2.5340)	Prec@1 37.000 (37.938)	Prec@5 68.000 (68.892)
Epoch: [28][1590/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.5483 (2.5339)	Prec@1 40.500 (37.938)	Prec@5 69.500 (68.897)
Epoch: [28][1600/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6081 (2.5344)	Prec@1 36.500 (37.931)	Prec@5 68.500 (68.893)
Epoch: [28][1610/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6374 (2.5343)	Prec@1 33.500 (37.926)	Prec@5 68.500 (68.893)
Epoch: [28][1620/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.5784 (2.5344)	Prec@1 36.000 (37.925)	Prec@5 70.000 (68.886)
Epoch: [28][1630/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6795 (2.5348)	Prec@1 32.500 (37.921)	Prec@5 67.000 (68.884)
Epoch: [28][1640/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5104 (2.5350)	Prec@1 41.500 (37.916)	Prec@5 73.000 (68.881)
Epoch: [28][1650/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.3700 (2.5346)	Prec@1 38.000 (37.922)	Prec@5 71.500 (68.892)
Epoch: [28][1660/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.4964 (2.5347)	Prec@1 42.500 (37.921)	Prec@5 71.000 (68.892)
Epoch: [28][1670/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.6896 (2.5354)	Prec@1 35.000 (37.906)	Prec@5 67.500 (68.884)
Epoch: [28][1680/9018]	Time 0.722 (0.616)	Data 0.001 (0.002)	Loss 2.5008 (2.5353)	Prec@1 41.000 (37.903)	Prec@5 72.000 (68.883)
Epoch: [28][1690/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4573 (2.5354)	Prec@1 43.500 (37.904)	Prec@5 72.000 (68.884)
Epoch: [28][1700/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.3438 (2.5349)	Prec@1 42.500 (37.912)	Prec@5 72.500 (68.890)
Epoch: [28][1710/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.7615 (2.5349)	Prec@1 29.500 (37.912)	Prec@5 63.000 (68.887)
Epoch: [28][1720/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5701 (2.5350)	Prec@1 39.000 (37.911)	Prec@5 68.500 (68.882)
Epoch: [28][1730/9018]	Time 0.726 (0.616)	Data 0.001 (0.002)	Loss 2.4400 (2.5352)	Prec@1 40.000 (37.906)	Prec@5 68.500 (68.884)
Epoch: [28][1740/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.4436 (2.5348)	Prec@1 37.000 (37.914)	Prec@5 71.500 (68.887)
Epoch: [28][1750/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.7339 (2.5347)	Prec@1 38.500 (37.920)	Prec@5 64.000 (68.892)
Epoch: [28][1760/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.7742 (2.5351)	Prec@1 34.000 (37.913)	Prec@5 64.000 (68.880)
Epoch: [28][1770/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.7319 (2.5349)	Prec@1 36.000 (37.922)	Prec@5 62.000 (68.880)
Epoch: [28][1780/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.7417 (2.5347)	Prec@1 32.500 (37.925)	Prec@5 63.000 (68.883)
Epoch: [28][1790/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.8131 (2.5349)	Prec@1 30.500 (37.927)	Prec@5 63.500 (68.875)
Epoch: [28][1800/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.8683 (2.5351)	Prec@1 32.500 (37.929)	Prec@5 61.000 (68.868)
Epoch: [28][1810/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.8031 (2.5354)	Prec@1 32.000 (37.926)	Prec@5 68.000 (68.862)
Epoch: [28][1820/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.4226 (2.5356)	Prec@1 35.500 (37.923)	Prec@5 71.500 (68.854)
Epoch: [28][1830/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.5296 (2.5355)	Prec@1 41.000 (37.935)	Prec@5 70.500 (68.861)
Epoch: [28][1840/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.5640 (2.5354)	Prec@1 38.000 (37.939)	Prec@5 70.000 (68.866)
Epoch: [28][1850/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5622 (2.5355)	Prec@1 36.500 (37.942)	Prec@5 63.500 (68.856)
Epoch: [28][1860/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5201 (2.5354)	Prec@1 38.000 (37.947)	Prec@5 66.000 (68.860)
Epoch: [28][1870/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.5050 (2.5356)	Prec@1 37.500 (37.939)	Prec@5 67.500 (68.852)
Epoch: [28][1880/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4491 (2.5357)	Prec@1 43.000 (37.937)	Prec@5 69.500 (68.848)
Epoch: [28][1890/9018]	Time 0.639 (0.616)	Data 0.001 (0.002)	Loss 2.5061 (2.5356)	Prec@1 41.500 (37.942)	Prec@5 68.500 (68.847)
Epoch: [28][1900/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.6022 (2.5355)	Prec@1 34.500 (37.948)	Prec@5 63.500 (68.841)
Epoch: [28][1910/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.5771 (2.5355)	Prec@1 35.500 (37.944)	Prec@5 69.500 (68.845)
Epoch: [28][1920/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.3548 (2.5354)	Prec@1 41.000 (37.946)	Prec@5 71.000 (68.850)
Epoch: [28][1930/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5891 (2.5351)	Prec@1 37.000 (37.956)	Prec@5 69.000 (68.853)
Epoch: [28][1940/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.4655 (2.5351)	Prec@1 42.000 (37.957)	Prec@5 70.000 (68.850)
Epoch: [28][1950/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6031 (2.5356)	Prec@1 32.000 (37.950)	Prec@5 69.500 (68.843)
Epoch: [28][1960/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3345 (2.5355)	Prec@1 37.000 (37.942)	Prec@5 73.000 (68.843)
Epoch: [28][1970/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6271 (2.5353)	Prec@1 34.500 (37.944)	Prec@5 67.500 (68.854)
Epoch: [28][1980/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.6107 (2.5355)	Prec@1 38.000 (37.943)	Prec@5 68.000 (68.847)
Epoch: [28][1990/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.3490 (2.5353)	Prec@1 42.000 (37.947)	Prec@5 72.500 (68.851)
Epoch: [28][2000/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.6634 (2.5351)	Prec@1 39.000 (37.951)	Prec@5 66.500 (68.856)
Epoch: [28][2010/9018]	Time 0.706 (0.616)	Data 0.001 (0.002)	Loss 2.4308 (2.5352)	Prec@1 40.000 (37.947)	Prec@5 70.000 (68.856)
Epoch: [28][2020/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.4373 (2.5353)	Prec@1 39.500 (37.949)	Prec@5 71.500 (68.855)
Epoch: [28][2030/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4954 (2.5351)	Prec@1 39.000 (37.954)	Prec@5 69.000 (68.860)
Epoch: [28][2040/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.3220 (2.5350)	Prec@1 39.000 (37.956)	Prec@5 74.000 (68.859)
Epoch: [28][2050/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6470 (2.5352)	Prec@1 36.000 (37.951)	Prec@5 65.500 (68.854)
Epoch: [28][2060/9018]	Time 0.725 (0.616)	Data 0.001 (0.002)	Loss 2.5735 (2.5354)	Prec@1 38.500 (37.948)	Prec@5 68.500 (68.854)
Epoch: [28][2070/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.5526 (2.5356)	Prec@1 38.000 (37.936)	Prec@5 66.500 (68.852)
Epoch: [28][2080/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5831 (2.5356)	Prec@1 39.500 (37.936)	Prec@5 68.000 (68.850)
Epoch: [28][2090/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.6612 (2.5355)	Prec@1 40.000 (37.940)	Prec@5 69.000 (68.858)
Epoch: [28][2100/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.4527 (2.5357)	Prec@1 41.000 (37.934)	Prec@5 70.000 (68.850)
Epoch: [28][2110/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.4252 (2.5360)	Prec@1 41.000 (37.932)	Prec@5 70.500 (68.847)
Epoch: [28][2120/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.6108 (2.5361)	Prec@1 34.500 (37.929)	Prec@5 69.000 (68.843)
Epoch: [28][2130/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4418 (2.5360)	Prec@1 41.000 (37.930)	Prec@5 71.000 (68.844)
Epoch: [28][2140/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.6051 (2.5359)	Prec@1 36.500 (37.936)	Prec@5 64.000 (68.845)
Epoch: [28][2150/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.6131 (2.5362)	Prec@1 35.000 (37.932)	Prec@5 65.000 (68.840)
Epoch: [28][2160/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.7423 (2.5361)	Prec@1 37.000 (37.938)	Prec@5 64.500 (68.842)
Epoch: [28][2170/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5508 (2.5363)	Prec@1 36.500 (37.933)	Prec@5 71.000 (68.838)
Epoch: [28][2180/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6041 (2.5366)	Prec@1 32.500 (37.926)	Prec@5 69.000 (68.835)
Epoch: [28][2190/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.4068 (2.5366)	Prec@1 42.000 (37.927)	Prec@5 71.000 (68.833)
Epoch: [28][2200/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5408 (2.5368)	Prec@1 41.000 (37.923)	Prec@5 69.500 (68.828)
Epoch: [28][2210/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.4251 (2.5369)	Prec@1 41.000 (37.923)	Prec@5 70.000 (68.824)
Epoch: [28][2220/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.6848 (2.5368)	Prec@1 29.000 (37.925)	Prec@5 67.000 (68.826)
Epoch: [28][2230/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.3304 (2.5371)	Prec@1 42.500 (37.924)	Prec@5 73.000 (68.823)
Epoch: [28][2240/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.5384 (2.5368)	Prec@1 40.000 (37.929)	Prec@5 69.500 (68.826)
Epoch: [28][2250/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.4107 (2.5369)	Prec@1 41.000 (37.926)	Prec@5 70.500 (68.823)
Epoch: [28][2260/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3878 (2.5369)	Prec@1 44.500 (37.930)	Prec@5 70.500 (68.823)
Epoch: [28][2270/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.4721 (2.5370)	Prec@1 42.500 (37.932)	Prec@5 70.500 (68.823)
Epoch: [28][2280/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6209 (2.5369)	Prec@1 36.500 (37.931)	Prec@5 66.000 (68.823)
Epoch: [28][2290/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.6550 (2.5371)	Prec@1 33.500 (37.929)	Prec@5 65.500 (68.820)
Epoch: [28][2300/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.7854 (2.5372)	Prec@1 33.500 (37.934)	Prec@5 61.000 (68.815)
Epoch: [28][2310/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.4771 (2.5368)	Prec@1 39.500 (37.941)	Prec@5 69.500 (68.827)
Epoch: [28][2320/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.5757 (2.5369)	Prec@1 34.500 (37.933)	Prec@5 67.000 (68.824)
Epoch: [28][2330/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5468 (2.5369)	Prec@1 37.500 (37.933)	Prec@5 68.500 (68.822)
Epoch: [28][2340/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 2.4330 (2.5372)	Prec@1 37.500 (37.928)	Prec@5 71.500 (68.815)
Epoch: [28][2350/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.5277 (2.5372)	Prec@1 37.000 (37.932)	Prec@5 70.500 (68.816)
Epoch: [28][2360/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.6410 (2.5371)	Prec@1 33.000 (37.931)	Prec@5 62.500 (68.811)
Epoch: [28][2370/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.5147 (2.5374)	Prec@1 43.500 (37.929)	Prec@5 68.000 (68.804)
Epoch: [28][2380/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.1949 (2.5376)	Prec@1 46.000 (37.922)	Prec@5 74.500 (68.798)
Epoch: [28][2390/9018]	Time 0.735 (0.616)	Data 0.001 (0.002)	Loss 2.6041 (2.5375)	Prec@1 37.500 (37.926)	Prec@5 67.500 (68.801)
Epoch: [28][2400/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5472 (2.5373)	Prec@1 37.500 (37.927)	Prec@5 66.500 (68.802)
Epoch: [28][2410/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.3716 (2.5374)	Prec@1 40.000 (37.923)	Prec@5 71.500 (68.802)
Epoch: [28][2420/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.6931 (2.5374)	Prec@1 34.500 (37.924)	Prec@5 66.000 (68.803)
Epoch: [28][2430/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.4630 (2.5374)	Prec@1 41.500 (37.926)	Prec@5 71.500 (68.799)
Epoch: [28][2440/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5992 (2.5373)	Prec@1 32.000 (37.922)	Prec@5 68.000 (68.800)
Epoch: [28][2450/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.4730 (2.5373)	Prec@1 38.000 (37.918)	Prec@5 68.500 (68.800)
Epoch: [28][2460/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.4948 (2.5370)	Prec@1 39.000 (37.925)	Prec@5 73.500 (68.810)
Epoch: [28][2470/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4264 (2.5371)	Prec@1 40.000 (37.922)	Prec@5 72.000 (68.811)
Epoch: [28][2480/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.7422 (2.5374)	Prec@1 33.500 (37.913)	Prec@5 65.000 (68.803)
Epoch: [28][2490/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.4682 (2.5374)	Prec@1 39.500 (37.912)	Prec@5 69.500 (68.806)
Epoch: [28][2500/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5120 (2.5372)	Prec@1 35.500 (37.921)	Prec@5 68.500 (68.809)
Epoch: [28][2510/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.8579 (2.5377)	Prec@1 31.000 (37.911)	Prec@5 66.000 (68.805)
Epoch: [28][2520/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5906 (2.5377)	Prec@1 37.500 (37.908)	Prec@5 69.000 (68.807)
Epoch: [28][2530/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5397 (2.5377)	Prec@1 32.000 (37.906)	Prec@5 72.500 (68.811)
Epoch: [28][2540/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5695 (2.5374)	Prec@1 40.500 (37.912)	Prec@5 68.000 (68.817)
Epoch: [28][2550/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.7252 (2.5376)	Prec@1 35.000 (37.913)	Prec@5 65.000 (68.814)
Epoch: [28][2560/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.4070 (2.5376)	Prec@1 40.500 (37.906)	Prec@5 76.500 (68.816)
Epoch: [28][2570/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.3650 (2.5374)	Prec@1 41.000 (37.908)	Prec@5 68.500 (68.822)
Epoch: [28][2580/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.6053 (2.5376)	Prec@1 37.000 (37.903)	Prec@5 68.000 (68.820)
Epoch: [28][2590/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.7489 (2.5377)	Prec@1 32.000 (37.899)	Prec@5 67.000 (68.815)
Epoch: [28][2600/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.7596 (2.5379)	Prec@1 36.000 (37.896)	Prec@5 62.500 (68.814)
Epoch: [28][2610/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6520 (2.5379)	Prec@1 36.500 (37.898)	Prec@5 69.000 (68.815)
Epoch: [28][2620/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.5616 (2.5381)	Prec@1 40.000 (37.896)	Prec@5 68.500 (68.815)
Epoch: [28][2630/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.4238 (2.5381)	Prec@1 42.000 (37.900)	Prec@5 70.000 (68.816)
Epoch: [28][2640/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4184 (2.5379)	Prec@1 42.500 (37.899)	Prec@5 69.500 (68.821)
Epoch: [28][2650/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5434 (2.5378)	Prec@1 40.000 (37.903)	Prec@5 64.500 (68.818)
Epoch: [28][2660/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.4751 (2.5378)	Prec@1 39.000 (37.903)	Prec@5 68.000 (68.820)
Epoch: [28][2670/9018]	Time 0.737 (0.616)	Data 0.001 (0.002)	Loss 2.6729 (2.5379)	Prec@1 31.000 (37.899)	Prec@5 69.500 (68.822)
Epoch: [28][2680/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4634 (2.5379)	Prec@1 40.500 (37.900)	Prec@5 68.500 (68.826)
Epoch: [28][2690/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.5124 (2.5379)	Prec@1 37.000 (37.898)	Prec@5 68.500 (68.827)
Epoch: [28][2700/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.5766 (2.5383)	Prec@1 39.500 (37.891)	Prec@5 69.000 (68.823)
Epoch: [28][2710/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.5377 (2.5387)	Prec@1 35.000 (37.878)	Prec@5 69.000 (68.815)
Epoch: [28][2720/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 2.4999 (2.5386)	Prec@1 36.000 (37.879)	Prec@5 67.000 (68.814)
Epoch: [28][2730/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.6724 (2.5388)	Prec@1 33.000 (37.876)	Prec@5 70.500 (68.813)
Epoch: [28][2740/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.5121 (2.5388)	Prec@1 37.000 (37.871)	Prec@5 68.500 (68.810)
Epoch: [28][2750/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.6703 (2.5388)	Prec@1 41.500 (37.870)	Prec@5 64.000 (68.810)
Epoch: [28][2760/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6094 (2.5388)	Prec@1 34.000 (37.869)	Prec@5 66.000 (68.803)
Epoch: [28][2770/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.8341 (2.5390)	Prec@1 32.000 (37.865)	Prec@5 62.000 (68.804)
Epoch: [28][2780/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.5161 (2.5391)	Prec@1 40.000 (37.866)	Prec@5 71.500 (68.800)
Epoch: [28][2790/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.7969 (2.5389)	Prec@1 32.500 (37.866)	Prec@5 64.000 (68.802)
Epoch: [28][2800/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.4327 (2.5390)	Prec@1 35.000 (37.863)	Prec@5 73.000 (68.804)
Epoch: [28][2810/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6041 (2.5389)	Prec@1 36.500 (37.862)	Prec@5 60.500 (68.803)
Epoch: [28][2820/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.7249 (2.5392)	Prec@1 32.500 (37.856)	Prec@5 64.000 (68.797)
Epoch: [28][2830/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5502 (2.5392)	Prec@1 34.000 (37.855)	Prec@5 66.500 (68.794)
Epoch: [28][2840/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.4935 (2.5393)	Prec@1 44.000 (37.859)	Prec@5 68.000 (68.793)
Epoch: [28][2850/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.5404 (2.5392)	Prec@1 36.500 (37.859)	Prec@5 68.000 (68.798)
Epoch: [28][2860/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5237 (2.5391)	Prec@1 40.000 (37.859)	Prec@5 67.500 (68.800)
Epoch: [28][2870/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5117 (2.5392)	Prec@1 38.000 (37.855)	Prec@5 70.000 (68.800)
Epoch: [28][2880/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5222 (2.5393)	Prec@1 35.000 (37.854)	Prec@5 68.500 (68.796)
Epoch: [28][2890/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4310 (2.5393)	Prec@1 42.000 (37.857)	Prec@5 73.500 (68.802)
Epoch: [28][2900/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.3814 (2.5391)	Prec@1 39.000 (37.865)	Prec@5 74.000 (68.805)
Epoch: [28][2910/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.8497 (2.5392)	Prec@1 35.500 (37.866)	Prec@5 63.000 (68.808)
Epoch: [28][2920/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5267 (2.5392)	Prec@1 37.000 (37.864)	Prec@5 65.500 (68.809)
Epoch: [28][2930/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5518 (2.5393)	Prec@1 38.500 (37.862)	Prec@5 67.000 (68.808)
Epoch: [28][2940/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6288 (2.5393)	Prec@1 35.000 (37.860)	Prec@5 67.500 (68.804)
Epoch: [28][2950/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6788 (2.5393)	Prec@1 37.000 (37.861)	Prec@5 71.500 (68.804)
Epoch: [28][2960/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7527 (2.5393)	Prec@1 32.000 (37.860)	Prec@5 60.500 (68.807)
Epoch: [28][2970/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6670 (2.5391)	Prec@1 35.500 (37.868)	Prec@5 67.000 (68.811)
Epoch: [28][2980/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6042 (2.5392)	Prec@1 33.500 (37.867)	Prec@5 65.500 (68.810)
Epoch: [28][2990/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4385 (2.5388)	Prec@1 40.500 (37.877)	Prec@5 74.500 (68.818)
Epoch: [28][3000/9018]	Time 0.717 (0.615)	Data 0.001 (0.001)	Loss 2.1887 (2.5386)	Prec@1 43.500 (37.882)	Prec@5 72.500 (68.820)
Epoch: [28][3010/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5498 (2.5383)	Prec@1 38.000 (37.885)	Prec@5 68.500 (68.824)
Epoch: [28][3020/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4444 (2.5382)	Prec@1 41.500 (37.886)	Prec@5 73.000 (68.826)
Epoch: [28][3030/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5371 (2.5385)	Prec@1 36.500 (37.881)	Prec@5 70.000 (68.819)
Epoch: [28][3040/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3772 (2.5384)	Prec@1 35.500 (37.884)	Prec@5 72.500 (68.821)
Epoch: [28][3050/9018]	Time 0.753 (0.615)	Data 0.001 (0.001)	Loss 2.3613 (2.5385)	Prec@1 39.500 (37.882)	Prec@5 73.000 (68.820)
Epoch: [28][3060/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4755 (2.5386)	Prec@1 39.500 (37.881)	Prec@5 72.000 (68.817)
Epoch: [28][3070/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4049 (2.5386)	Prec@1 40.500 (37.885)	Prec@5 71.500 (68.819)
Epoch: [28][3080/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4343 (2.5384)	Prec@1 44.000 (37.893)	Prec@5 72.000 (68.821)
Epoch: [28][3090/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5246 (2.5384)	Prec@1 40.000 (37.895)	Prec@5 69.500 (68.822)
Epoch: [28][3100/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4815 (2.5384)	Prec@1 38.500 (37.897)	Prec@5 66.500 (68.821)
Epoch: [28][3110/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5296 (2.5384)	Prec@1 40.500 (37.903)	Prec@5 69.500 (68.820)
Epoch: [28][3120/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4592 (2.5382)	Prec@1 34.000 (37.910)	Prec@5 67.500 (68.824)
Epoch: [28][3130/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5238 (2.5381)	Prec@1 39.500 (37.910)	Prec@5 69.000 (68.824)
Epoch: [28][3140/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5222 (2.5380)	Prec@1 39.000 (37.910)	Prec@5 67.500 (68.824)
Epoch: [28][3150/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7284 (2.5380)	Prec@1 35.000 (37.912)	Prec@5 66.000 (68.823)
Epoch: [28][3160/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.8050 (2.5382)	Prec@1 37.000 (37.907)	Prec@5 62.500 (68.818)
Epoch: [28][3170/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5215 (2.5383)	Prec@1 35.000 (37.903)	Prec@5 68.500 (68.818)
Epoch: [28][3180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4857 (2.5383)	Prec@1 37.500 (37.904)	Prec@5 69.500 (68.815)
Epoch: [28][3190/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5357 (2.5384)	Prec@1 36.000 (37.905)	Prec@5 72.500 (68.816)
Epoch: [28][3200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7679 (2.5382)	Prec@1 32.000 (37.906)	Prec@5 61.500 (68.818)
Epoch: [28][3210/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4214 (2.5381)	Prec@1 39.500 (37.908)	Prec@5 71.000 (68.820)
Epoch: [28][3220/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5865 (2.5382)	Prec@1 35.000 (37.907)	Prec@5 68.500 (68.820)
Epoch: [28][3230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6774 (2.5381)	Prec@1 33.000 (37.908)	Prec@5 69.500 (68.822)
Epoch: [28][3240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4496 (2.5383)	Prec@1 43.000 (37.905)	Prec@5 69.000 (68.817)
Epoch: [28][3250/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5451 (2.5384)	Prec@1 36.500 (37.903)	Prec@5 69.500 (68.814)
Epoch: [28][3260/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7004 (2.5385)	Prec@1 33.000 (37.903)	Prec@5 63.000 (68.812)
Epoch: [28][3270/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.3630 (2.5385)	Prec@1 40.500 (37.903)	Prec@5 74.000 (68.815)
Epoch: [28][3280/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4868 (2.5385)	Prec@1 37.000 (37.901)	Prec@5 72.500 (68.811)
Epoch: [28][3290/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4949 (2.5384)	Prec@1 42.500 (37.905)	Prec@5 70.500 (68.815)
Epoch: [28][3300/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.7721 (2.5386)	Prec@1 35.000 (37.897)	Prec@5 64.000 (68.811)
Epoch: [28][3310/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4927 (2.5384)	Prec@1 39.500 (37.898)	Prec@5 68.500 (68.815)
Epoch: [28][3320/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6273 (2.5383)	Prec@1 38.500 (37.901)	Prec@5 65.000 (68.816)
Epoch: [28][3330/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.4738 (2.5383)	Prec@1 41.500 (37.901)	Prec@5 72.000 (68.820)
Epoch: [28][3340/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6316 (2.5384)	Prec@1 34.000 (37.901)	Prec@5 68.000 (68.821)
Epoch: [28][3350/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5503 (2.5383)	Prec@1 38.500 (37.904)	Prec@5 67.500 (68.821)
Epoch: [28][3360/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5324 (2.5384)	Prec@1 39.000 (37.902)	Prec@5 70.500 (68.821)
Epoch: [28][3370/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4933 (2.5382)	Prec@1 35.000 (37.906)	Prec@5 70.500 (68.824)
Epoch: [28][3380/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.5340 (2.5382)	Prec@1 39.500 (37.907)	Prec@5 71.000 (68.827)
Epoch: [28][3390/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5216 (2.5380)	Prec@1 40.500 (37.912)	Prec@5 70.000 (68.831)
Epoch: [28][3400/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5220 (2.5381)	Prec@1 36.000 (37.908)	Prec@5 72.500 (68.833)
Epoch: [28][3410/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6986 (2.5382)	Prec@1 39.000 (37.905)	Prec@5 63.500 (68.831)
Epoch: [28][3420/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4132 (2.5382)	Prec@1 39.500 (37.905)	Prec@5 71.000 (68.833)
Epoch: [28][3430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5178 (2.5384)	Prec@1 39.500 (37.899)	Prec@5 68.500 (68.826)
Epoch: [28][3440/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6714 (2.5384)	Prec@1 35.000 (37.894)	Prec@5 69.000 (68.828)
Epoch: [28][3450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5783 (2.5385)	Prec@1 38.000 (37.892)	Prec@5 69.500 (68.824)
Epoch: [28][3460/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.7145 (2.5387)	Prec@1 33.500 (37.890)	Prec@5 64.500 (68.815)
Epoch: [28][3470/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6829 (2.5388)	Prec@1 31.000 (37.885)	Prec@5 63.000 (68.810)
Epoch: [28][3480/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4719 (2.5388)	Prec@1 37.500 (37.884)	Prec@5 69.000 (68.812)
Epoch: [28][3490/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5703 (2.5386)	Prec@1 38.500 (37.887)	Prec@5 66.000 (68.815)
Epoch: [28][3500/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3073 (2.5386)	Prec@1 38.500 (37.882)	Prec@5 71.500 (68.811)
Epoch: [28][3510/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5767 (2.5390)	Prec@1 38.500 (37.875)	Prec@5 65.500 (68.803)
Epoch: [28][3520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3383 (2.5390)	Prec@1 42.500 (37.872)	Prec@5 72.000 (68.804)
Epoch: [28][3530/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5061 (2.5390)	Prec@1 34.500 (37.869)	Prec@5 69.000 (68.806)
Epoch: [28][3540/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3885 (2.5389)	Prec@1 45.500 (37.869)	Prec@5 67.000 (68.805)
Epoch: [28][3550/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4862 (2.5388)	Prec@1 42.000 (37.875)	Prec@5 66.500 (68.808)
Epoch: [28][3560/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7330 (2.5389)	Prec@1 33.500 (37.874)	Prec@5 65.000 (68.804)
Epoch: [28][3570/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6422 (2.5389)	Prec@1 37.000 (37.875)	Prec@5 68.000 (68.803)
Epoch: [28][3580/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4530 (2.5387)	Prec@1 40.000 (37.880)	Prec@5 66.500 (68.804)
Epoch: [28][3590/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.2764 (2.5386)	Prec@1 45.000 (37.881)	Prec@5 75.000 (68.807)
Epoch: [28][3600/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6431 (2.5387)	Prec@1 37.500 (37.879)	Prec@5 68.000 (68.807)
Epoch: [28][3610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4551 (2.5386)	Prec@1 39.500 (37.883)	Prec@5 73.500 (68.812)
Epoch: [28][3620/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6267 (2.5385)	Prec@1 40.500 (37.888)	Prec@5 69.000 (68.814)
Epoch: [28][3630/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5857 (2.5385)	Prec@1 39.000 (37.885)	Prec@5 69.500 (68.813)
Epoch: [28][3640/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4874 (2.5385)	Prec@1 40.000 (37.884)	Prec@5 68.500 (68.814)
Epoch: [28][3650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5273 (2.5384)	Prec@1 36.500 (37.882)	Prec@5 73.000 (68.821)
Epoch: [28][3660/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.4288 (2.5384)	Prec@1 38.000 (37.882)	Prec@5 73.000 (68.819)
Epoch: [28][3670/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5327 (2.5383)	Prec@1 41.000 (37.885)	Prec@5 71.000 (68.824)
Epoch: [28][3680/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4661 (2.5384)	Prec@1 39.500 (37.884)	Prec@5 68.000 (68.823)
Epoch: [28][3690/9018]	Time 0.606 (0.615)	Data 0.002 (0.001)	Loss 2.4377 (2.5385)	Prec@1 36.500 (37.885)	Prec@5 67.000 (68.822)
Epoch: [28][3700/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4700 (2.5384)	Prec@1 42.000 (37.884)	Prec@5 68.500 (68.823)
Epoch: [28][3710/9018]	Time 0.711 (0.615)	Data 0.001 (0.001)	Loss 2.7152 (2.5387)	Prec@1 36.000 (37.878)	Prec@5 69.500 (68.818)
Epoch: [28][3720/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5475 (2.5386)	Prec@1 38.500 (37.878)	Prec@5 71.500 (68.820)
Epoch: [28][3730/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5254 (2.5385)	Prec@1 34.500 (37.880)	Prec@5 71.500 (68.820)
Epoch: [28][3740/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4224 (2.5387)	Prec@1 40.000 (37.877)	Prec@5 71.000 (68.817)
Epoch: [28][3750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5670 (2.5386)	Prec@1 35.000 (37.878)	Prec@5 67.500 (68.819)
Epoch: [28][3760/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6652 (2.5387)	Prec@1 35.000 (37.871)	Prec@5 65.500 (68.819)
Epoch: [28][3770/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5117 (2.5388)	Prec@1 41.500 (37.871)	Prec@5 70.500 (68.818)
Epoch: [28][3780/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7128 (2.5389)	Prec@1 36.500 (37.869)	Prec@5 68.000 (68.818)
Epoch: [28][3790/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4139 (2.5389)	Prec@1 40.500 (37.869)	Prec@5 70.500 (68.816)
Epoch: [28][3800/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.7095 (2.5391)	Prec@1 34.000 (37.867)	Prec@5 68.500 (68.815)
Epoch: [28][3810/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4597 (2.5392)	Prec@1 37.500 (37.864)	Prec@5 68.000 (68.813)
Epoch: [28][3820/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6811 (2.5393)	Prec@1 28.500 (37.860)	Prec@5 64.500 (68.811)
Epoch: [28][3830/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6329 (2.5393)	Prec@1 36.500 (37.857)	Prec@5 64.500 (68.809)
Epoch: [28][3840/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4288 (2.5393)	Prec@1 40.500 (37.858)	Prec@5 68.500 (68.808)
Epoch: [28][3850/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5202 (2.5393)	Prec@1 39.500 (37.857)	Prec@5 70.500 (68.809)
Epoch: [28][3860/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5453 (2.5391)	Prec@1 39.000 (37.864)	Prec@5 65.500 (68.812)
Epoch: [28][3870/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5745 (2.5390)	Prec@1 40.500 (37.865)	Prec@5 66.000 (68.814)
Epoch: [28][3880/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3339 (2.5390)	Prec@1 39.500 (37.867)	Prec@5 76.000 (68.815)
Epoch: [28][3890/9018]	Time 0.649 (0.615)	Data 0.001 (0.001)	Loss 2.4592 (2.5388)	Prec@1 42.500 (37.867)	Prec@5 69.000 (68.822)
Epoch: [28][3900/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.8651 (2.5388)	Prec@1 34.500 (37.869)	Prec@5 60.500 (68.825)
Epoch: [28][3910/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6193 (2.5387)	Prec@1 36.000 (37.872)	Prec@5 66.500 (68.825)
Epoch: [28][3920/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4124 (2.5389)	Prec@1 35.500 (37.868)	Prec@5 73.500 (68.824)
Epoch: [28][3930/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4479 (2.5389)	Prec@1 40.500 (37.865)	Prec@5 70.000 (68.825)
Epoch: [28][3940/9018]	Time 0.645 (0.615)	Data 0.001 (0.001)	Loss 2.6779 (2.5389)	Prec@1 35.500 (37.861)	Prec@5 68.500 (68.827)
Epoch: [28][3950/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4135 (2.5388)	Prec@1 42.000 (37.862)	Prec@5 69.000 (68.830)
Epoch: [28][3960/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5198 (2.5386)	Prec@1 38.000 (37.865)	Prec@5 71.500 (68.834)
Epoch: [28][3970/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6801 (2.5387)	Prec@1 36.000 (37.864)	Prec@5 64.500 (68.831)
Epoch: [28][3980/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6770 (2.5388)	Prec@1 37.500 (37.863)	Prec@5 66.000 (68.830)
Epoch: [28][3990/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.2926 (2.5386)	Prec@1 42.000 (37.868)	Prec@5 74.500 (68.834)
Epoch: [28][4000/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.8349 (2.5387)	Prec@1 31.000 (37.867)	Prec@5 63.000 (68.833)
Epoch: [28][4010/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5715 (2.5387)	Prec@1 36.500 (37.867)	Prec@5 68.000 (68.833)
Epoch: [28][4020/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6557 (2.5387)	Prec@1 32.500 (37.865)	Prec@5 64.500 (68.831)
Epoch: [28][4030/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5380 (2.5386)	Prec@1 35.500 (37.868)	Prec@5 68.000 (68.831)
Epoch: [28][4040/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.2904 (2.5387)	Prec@1 42.500 (37.869)	Prec@5 73.500 (68.829)
Epoch: [28][4050/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5356 (2.5386)	Prec@1 36.000 (37.873)	Prec@5 66.500 (68.832)
Epoch: [28][4060/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5743 (2.5384)	Prec@1 35.000 (37.875)	Prec@5 72.500 (68.835)
Epoch: [28][4070/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.5830 (2.5383)	Prec@1 34.500 (37.875)	Prec@5 66.500 (68.838)
Epoch: [28][4080/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6075 (2.5383)	Prec@1 38.000 (37.873)	Prec@5 68.500 (68.835)
Epoch: [28][4090/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7155 (2.5382)	Prec@1 34.500 (37.877)	Prec@5 65.000 (68.837)
Epoch: [28][4100/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5129 (2.5382)	Prec@1 38.500 (37.875)	Prec@5 72.000 (68.837)
Epoch: [28][4110/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5731 (2.5381)	Prec@1 34.000 (37.877)	Prec@5 69.000 (68.841)
Epoch: [28][4120/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4447 (2.5382)	Prec@1 42.000 (37.873)	Prec@5 67.000 (68.837)
Epoch: [28][4130/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7834 (2.5384)	Prec@1 31.000 (37.868)	Prec@5 65.000 (68.833)
Epoch: [28][4140/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5778 (2.5386)	Prec@1 38.500 (37.863)	Prec@5 67.500 (68.828)
Epoch: [28][4150/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3451 (2.5385)	Prec@1 39.500 (37.866)	Prec@5 71.000 (68.829)
Epoch: [28][4160/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4470 (2.5384)	Prec@1 40.500 (37.868)	Prec@5 70.000 (68.832)
Epoch: [28][4170/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.8224 (2.5386)	Prec@1 33.000 (37.866)	Prec@5 64.000 (68.830)
Epoch: [28][4180/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5631 (2.5385)	Prec@1 35.000 (37.869)	Prec@5 69.500 (68.832)
Epoch: [28][4190/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4876 (2.5384)	Prec@1 37.500 (37.867)	Prec@5 70.000 (68.832)
Epoch: [28][4200/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5316 (2.5385)	Prec@1 36.500 (37.866)	Prec@5 69.500 (68.829)
Epoch: [28][4210/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4695 (2.5386)	Prec@1 40.500 (37.866)	Prec@5 70.500 (68.827)
Epoch: [28][4220/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.8162 (2.5385)	Prec@1 31.000 (37.865)	Prec@5 63.500 (68.826)
Epoch: [28][4230/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4767 (2.5386)	Prec@1 41.000 (37.866)	Prec@5 67.000 (68.823)
Epoch: [28][4240/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3721 (2.5387)	Prec@1 39.500 (37.865)	Prec@5 73.500 (68.823)
Epoch: [28][4250/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4831 (2.5387)	Prec@1 39.500 (37.864)	Prec@5 69.000 (68.825)
Epoch: [28][4260/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.8553 (2.5388)	Prec@1 38.000 (37.862)	Prec@5 62.000 (68.824)
Epoch: [28][4270/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5456 (2.5388)	Prec@1 38.500 (37.866)	Prec@5 71.000 (68.825)
Epoch: [28][4280/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6188 (2.5388)	Prec@1 35.000 (37.864)	Prec@5 67.000 (68.823)
Epoch: [28][4290/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1985 (2.5388)	Prec@1 43.000 (37.864)	Prec@5 74.500 (68.827)
Epoch: [28][4300/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.3811 (2.5388)	Prec@1 45.000 (37.864)	Prec@5 69.500 (68.826)
Epoch: [28][4310/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7028 (2.5389)	Prec@1 37.000 (37.862)	Prec@5 65.500 (68.823)
Epoch: [28][4320/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.8038 (2.5391)	Prec@1 33.500 (37.861)	Prec@5 60.000 (68.819)
Epoch: [28][4330/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6086 (2.5392)	Prec@1 38.000 (37.859)	Prec@5 66.500 (68.816)
Epoch: [28][4340/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4326 (2.5392)	Prec@1 40.500 (37.859)	Prec@5 71.000 (68.815)
Epoch: [28][4350/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.8954 (2.5392)	Prec@1 33.500 (37.858)	Prec@5 61.000 (68.816)
Epoch: [28][4360/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3077 (2.5392)	Prec@1 39.500 (37.858)	Prec@5 70.500 (68.815)
Epoch: [28][4370/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.4669 (2.5392)	Prec@1 38.000 (37.856)	Prec@5 68.000 (68.814)
Epoch: [28][4380/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.4213 (2.5391)	Prec@1 39.500 (37.856)	Prec@5 70.000 (68.813)
Epoch: [28][4390/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5611 (2.5389)	Prec@1 36.000 (37.856)	Prec@5 65.500 (68.815)
Epoch: [28][4400/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7880 (2.5389)	Prec@1 36.500 (37.855)	Prec@5 67.000 (68.816)
Epoch: [28][4410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3797 (2.5390)	Prec@1 41.000 (37.854)	Prec@5 70.500 (68.813)
Epoch: [28][4420/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4119 (2.5390)	Prec@1 41.000 (37.857)	Prec@5 70.000 (68.813)
Epoch: [28][4430/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5372 (2.5388)	Prec@1 40.000 (37.864)	Prec@5 67.000 (68.813)
Epoch: [28][4440/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5674 (2.5388)	Prec@1 34.500 (37.866)	Prec@5 68.500 (68.811)
Epoch: [28][4450/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4609 (2.5389)	Prec@1 43.000 (37.868)	Prec@5 70.000 (68.812)
Epoch: [28][4460/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5030 (2.5389)	Prec@1 36.000 (37.867)	Prec@5 67.500 (68.814)
Epoch: [28][4470/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8465 (2.5391)	Prec@1 34.500 (37.859)	Prec@5 64.500 (68.808)
Epoch: [28][4480/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5802 (2.5392)	Prec@1 35.000 (37.857)	Prec@5 66.000 (68.805)
Epoch: [28][4490/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4698 (2.5393)	Prec@1 39.500 (37.855)	Prec@5 68.000 (68.803)
Epoch: [28][4500/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6389 (2.5393)	Prec@1 32.500 (37.855)	Prec@5 69.500 (68.805)
Epoch: [28][4510/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.7241 (2.5391)	Prec@1 39.000 (37.857)	Prec@5 65.500 (68.807)
Epoch: [28][4520/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5973 (2.5391)	Prec@1 34.000 (37.855)	Prec@5 67.000 (68.808)
Epoch: [28][4530/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6949 (2.5392)	Prec@1 35.500 (37.854)	Prec@5 61.000 (68.806)
Epoch: [28][4540/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.3099 (2.5394)	Prec@1 42.500 (37.851)	Prec@5 71.000 (68.803)
Epoch: [28][4550/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4928 (2.5394)	Prec@1 36.000 (37.849)	Prec@5 69.000 (68.800)
Epoch: [28][4560/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5923 (2.5396)	Prec@1 36.000 (37.848)	Prec@5 67.500 (68.798)
Epoch: [28][4570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6757 (2.5397)	Prec@1 35.500 (37.845)	Prec@5 65.500 (68.797)
Epoch: [28][4580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6393 (2.5398)	Prec@1 35.000 (37.846)	Prec@5 68.000 (68.796)
Epoch: [28][4590/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6379 (2.5397)	Prec@1 34.500 (37.844)	Prec@5 64.500 (68.794)
Epoch: [28][4600/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4608 (2.5397)	Prec@1 34.000 (37.844)	Prec@5 69.500 (68.794)
Epoch: [28][4610/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4644 (2.5396)	Prec@1 40.000 (37.846)	Prec@5 70.500 (68.799)
Epoch: [28][4620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3127 (2.5396)	Prec@1 44.000 (37.841)	Prec@5 73.000 (68.798)
Epoch: [28][4630/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4194 (2.5398)	Prec@1 36.500 (37.838)	Prec@5 72.500 (68.793)
Epoch: [28][4640/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6716 (2.5399)	Prec@1 38.500 (37.837)	Prec@5 67.000 (68.793)
Epoch: [28][4650/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.4197 (2.5400)	Prec@1 40.000 (37.836)	Prec@5 69.000 (68.790)
Epoch: [28][4660/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.3384 (2.5398)	Prec@1 41.500 (37.840)	Prec@5 73.000 (68.790)
Epoch: [28][4670/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5273 (2.5397)	Prec@1 39.500 (37.841)	Prec@5 68.500 (68.791)
Epoch: [28][4680/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4900 (2.5397)	Prec@1 41.000 (37.842)	Prec@5 71.000 (68.792)
Epoch: [28][4690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6864 (2.5397)	Prec@1 35.000 (37.846)	Prec@5 66.500 (68.793)
Epoch: [28][4700/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.6870 (2.5396)	Prec@1 31.500 (37.845)	Prec@5 66.500 (68.792)
Epoch: [28][4710/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5540 (2.5396)	Prec@1 40.000 (37.847)	Prec@5 68.500 (68.794)
Epoch: [28][4720/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4750 (2.5397)	Prec@1 39.000 (37.848)	Prec@5 73.000 (68.794)
Epoch: [28][4730/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6188 (2.5397)	Prec@1 30.500 (37.846)	Prec@5 69.000 (68.797)
Epoch: [28][4740/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4396 (2.5397)	Prec@1 43.000 (37.846)	Prec@5 71.500 (68.799)
Epoch: [28][4750/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5199 (2.5397)	Prec@1 36.000 (37.843)	Prec@5 73.500 (68.798)
Epoch: [28][4760/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4932 (2.5397)	Prec@1 33.500 (37.842)	Prec@5 72.000 (68.799)
Epoch: [28][4770/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6208 (2.5396)	Prec@1 33.500 (37.846)	Prec@5 70.000 (68.800)
Epoch: [28][4780/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5315 (2.5395)	Prec@1 37.500 (37.843)	Prec@5 69.500 (68.802)
Epoch: [28][4790/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.6429 (2.5397)	Prec@1 37.000 (37.841)	Prec@5 63.500 (68.799)
Epoch: [28][4800/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4645 (2.5397)	Prec@1 39.000 (37.840)	Prec@5 69.000 (68.799)
Epoch: [28][4810/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.4756 (2.5397)	Prec@1 41.000 (37.841)	Prec@5 67.000 (68.799)
Epoch: [28][4820/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7460 (2.5398)	Prec@1 36.000 (37.840)	Prec@5 62.000 (68.796)
Epoch: [28][4830/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4958 (2.5399)	Prec@1 36.000 (37.838)	Prec@5 68.500 (68.795)
Epoch: [28][4840/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3252 (2.5399)	Prec@1 39.000 (37.840)	Prec@5 72.500 (68.794)
Epoch: [28][4850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4647 (2.5398)	Prec@1 43.000 (37.841)	Prec@5 68.000 (68.795)
Epoch: [28][4860/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6648 (2.5398)	Prec@1 33.500 (37.840)	Prec@5 66.000 (68.796)
Epoch: [28][4870/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4811 (2.5397)	Prec@1 37.000 (37.842)	Prec@5 74.500 (68.799)
Epoch: [28][4880/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6133 (2.5397)	Prec@1 40.500 (37.843)	Prec@5 66.500 (68.797)
Epoch: [28][4890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2207 (2.5396)	Prec@1 45.000 (37.846)	Prec@5 75.500 (68.800)
Epoch: [28][4900/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3584 (2.5397)	Prec@1 40.000 (37.843)	Prec@5 75.000 (68.800)
Epoch: [28][4910/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.8176 (2.5397)	Prec@1 31.000 (37.842)	Prec@5 64.000 (68.800)
Epoch: [28][4920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3098 (2.5394)	Prec@1 44.500 (37.849)	Prec@5 71.500 (68.807)
Epoch: [28][4930/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.6830 (2.5393)	Prec@1 35.000 (37.852)	Prec@5 67.000 (68.811)
Epoch: [28][4940/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6057 (2.5394)	Prec@1 37.000 (37.849)	Prec@5 66.500 (68.809)
Epoch: [28][4950/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7784 (2.5396)	Prec@1 37.000 (37.846)	Prec@5 65.000 (68.807)
Epoch: [28][4960/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4657 (2.5396)	Prec@1 40.500 (37.847)	Prec@5 68.500 (68.808)
Epoch: [28][4970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3701 (2.5396)	Prec@1 35.500 (37.846)	Prec@5 71.000 (68.808)
Epoch: [28][4980/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.3842 (2.5394)	Prec@1 40.500 (37.852)	Prec@5 71.000 (68.812)
Epoch: [28][4990/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5298 (2.5395)	Prec@1 39.000 (37.853)	Prec@5 71.000 (68.811)
Epoch: [28][5000/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7278 (2.5395)	Prec@1 40.000 (37.857)	Prec@5 63.000 (68.811)
Epoch: [28][5010/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3689 (2.5393)	Prec@1 42.500 (37.859)	Prec@5 74.000 (68.815)
Epoch: [28][5020/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5719 (2.5393)	Prec@1 35.500 (37.858)	Prec@5 67.500 (68.817)
Epoch: [28][5030/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.4570 (2.5393)	Prec@1 42.000 (37.861)	Prec@5 70.000 (68.818)
Epoch: [28][5040/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4737 (2.5394)	Prec@1 37.000 (37.861)	Prec@5 71.500 (68.815)
Epoch: [28][5050/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4769 (2.5394)	Prec@1 42.000 (37.862)	Prec@5 66.500 (68.815)
Epoch: [28][5060/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4305 (2.5393)	Prec@1 40.500 (37.866)	Prec@5 73.500 (68.817)
Epoch: [28][5070/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4267 (2.5393)	Prec@1 36.500 (37.867)	Prec@5 73.500 (68.817)
Epoch: [28][5080/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4348 (2.5392)	Prec@1 42.500 (37.866)	Prec@5 68.000 (68.818)
Epoch: [28][5090/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2876 (2.5392)	Prec@1 41.500 (37.866)	Prec@5 71.000 (68.816)
Epoch: [28][5100/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5590 (2.5391)	Prec@1 40.000 (37.866)	Prec@5 66.000 (68.817)
Epoch: [28][5110/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2747 (2.5390)	Prec@1 42.000 (37.868)	Prec@5 75.500 (68.819)
Epoch: [28][5120/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3886 (2.5389)	Prec@1 40.000 (37.869)	Prec@5 70.500 (68.818)
Epoch: [28][5130/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5291 (2.5388)	Prec@1 41.000 (37.874)	Prec@5 69.500 (68.820)
Epoch: [28][5140/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5085 (2.5389)	Prec@1 39.000 (37.874)	Prec@5 68.500 (68.818)
Epoch: [28][5150/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6923 (2.5389)	Prec@1 37.500 (37.875)	Prec@5 63.500 (68.818)
Epoch: [28][5160/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.3941 (2.5389)	Prec@1 40.000 (37.874)	Prec@5 71.500 (68.818)
Epoch: [28][5170/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5310 (2.5388)	Prec@1 34.000 (37.874)	Prec@5 68.500 (68.818)
Epoch: [28][5180/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4561 (2.5388)	Prec@1 40.500 (37.875)	Prec@5 72.500 (68.820)
Epoch: [28][5190/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5541 (2.5389)	Prec@1 35.500 (37.875)	Prec@5 65.000 (68.819)
Epoch: [28][5200/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4147 (2.5388)	Prec@1 39.000 (37.876)	Prec@5 71.000 (68.819)
Epoch: [28][5210/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5211 (2.5388)	Prec@1 42.000 (37.877)	Prec@5 65.000 (68.819)
Epoch: [28][5220/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2413 (2.5388)	Prec@1 47.000 (37.877)	Prec@5 76.500 (68.816)
Epoch: [28][5230/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5167 (2.5389)	Prec@1 38.500 (37.876)	Prec@5 68.000 (68.815)
Epoch: [28][5240/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4960 (2.5391)	Prec@1 36.000 (37.874)	Prec@5 69.000 (68.810)
Epoch: [28][5250/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5729 (2.5391)	Prec@1 37.500 (37.873)	Prec@5 67.500 (68.811)
Epoch: [28][5260/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4589 (2.5390)	Prec@1 37.000 (37.874)	Prec@5 70.500 (68.811)
Epoch: [28][5270/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7823 (2.5390)	Prec@1 35.500 (37.875)	Prec@5 61.500 (68.812)
Epoch: [28][5280/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6225 (2.5391)	Prec@1 38.500 (37.877)	Prec@5 68.500 (68.811)
Epoch: [28][5290/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6488 (2.5392)	Prec@1 35.000 (37.877)	Prec@5 66.000 (68.810)
Epoch: [28][5300/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6041 (2.5391)	Prec@1 30.500 (37.878)	Prec@5 65.000 (68.811)
Epoch: [28][5310/9018]	Time 0.764 (0.615)	Data 0.001 (0.001)	Loss 2.4925 (2.5391)	Prec@1 41.000 (37.878)	Prec@5 69.500 (68.811)
Epoch: [28][5320/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7960 (2.5393)	Prec@1 32.500 (37.874)	Prec@5 59.500 (68.805)
Epoch: [28][5330/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3970 (2.5394)	Prec@1 39.000 (37.871)	Prec@5 74.500 (68.805)
Epoch: [28][5340/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.5520 (2.5394)	Prec@1 36.000 (37.873)	Prec@5 69.500 (68.804)
Epoch: [28][5350/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4896 (2.5394)	Prec@1 36.500 (37.876)	Prec@5 71.000 (68.804)
Epoch: [28][5360/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.6702 (2.5393)	Prec@1 30.000 (37.876)	Prec@5 67.000 (68.805)
Epoch: [28][5370/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3450 (2.5393)	Prec@1 40.500 (37.875)	Prec@5 70.000 (68.805)
Epoch: [28][5380/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5434 (2.5393)	Prec@1 39.000 (37.872)	Prec@5 67.500 (68.803)
Epoch: [28][5390/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.5044 (2.5393)	Prec@1 44.000 (37.873)	Prec@5 65.500 (68.801)
Epoch: [28][5400/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4477 (2.5394)	Prec@1 40.000 (37.870)	Prec@5 72.500 (68.796)
Epoch: [28][5410/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5360 (2.5394)	Prec@1 39.000 (37.869)	Prec@5 71.500 (68.798)
Epoch: [28][5420/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5895 (2.5395)	Prec@1 36.000 (37.867)	Prec@5 67.500 (68.795)
Epoch: [28][5430/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5725 (2.5395)	Prec@1 37.500 (37.865)	Prec@5 67.500 (68.794)
Epoch: [28][5440/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5096 (2.5395)	Prec@1 37.500 (37.865)	Prec@5 68.000 (68.794)
Epoch: [28][5450/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4314 (2.5395)	Prec@1 36.500 (37.862)	Prec@5 73.500 (68.794)
Epoch: [28][5460/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4130 (2.5396)	Prec@1 39.000 (37.862)	Prec@5 74.500 (68.793)
Epoch: [28][5470/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.5704 (2.5396)	Prec@1 37.000 (37.860)	Prec@5 71.000 (68.795)
Epoch: [28][5480/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5233 (2.5397)	Prec@1 39.500 (37.859)	Prec@5 70.000 (68.794)
Epoch: [28][5490/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5065 (2.5397)	Prec@1 40.000 (37.859)	Prec@5 69.500 (68.792)
Epoch: [28][5500/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.2378 (2.5397)	Prec@1 43.000 (37.857)	Prec@5 74.000 (68.793)
Epoch: [28][5510/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2403 (2.5397)	Prec@1 46.500 (37.857)	Prec@5 74.500 (68.793)
Epoch: [28][5520/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5986 (2.5397)	Prec@1 38.500 (37.857)	Prec@5 70.000 (68.794)
Epoch: [28][5530/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6089 (2.5397)	Prec@1 39.500 (37.857)	Prec@5 68.500 (68.794)
Epoch: [28][5540/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7341 (2.5397)	Prec@1 34.500 (37.858)	Prec@5 66.000 (68.796)
Epoch: [28][5550/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.3361 (2.5397)	Prec@1 42.500 (37.858)	Prec@5 73.500 (68.796)
Epoch: [28][5560/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3374 (2.5396)	Prec@1 45.500 (37.858)	Prec@5 72.000 (68.796)
Epoch: [28][5570/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7167 (2.5397)	Prec@1 31.500 (37.856)	Prec@5 67.500 (68.794)
Epoch: [28][5580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7199 (2.5397)	Prec@1 28.000 (37.854)	Prec@5 63.000 (68.794)
Epoch: [28][5590/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6372 (2.5397)	Prec@1 36.000 (37.856)	Prec@5 66.000 (68.795)
Epoch: [28][5600/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5255 (2.5396)	Prec@1 42.000 (37.856)	Prec@5 70.500 (68.797)
Epoch: [28][5610/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5310 (2.5397)	Prec@1 38.000 (37.854)	Prec@5 68.500 (68.796)
Epoch: [28][5620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5236 (2.5397)	Prec@1 41.500 (37.854)	Prec@5 67.500 (68.793)
Epoch: [28][5630/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7686 (2.5399)	Prec@1 32.000 (37.850)	Prec@5 63.500 (68.788)
Epoch: [28][5640/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.5034 (2.5399)	Prec@1 37.000 (37.850)	Prec@5 67.500 (68.789)
Epoch: [28][5650/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4863 (2.5399)	Prec@1 37.000 (37.850)	Prec@5 69.000 (68.788)
Epoch: [28][5660/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5581 (2.5398)	Prec@1 35.000 (37.851)	Prec@5 69.000 (68.791)
Epoch: [28][5670/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6209 (2.5398)	Prec@1 37.000 (37.850)	Prec@5 71.500 (68.793)
Epoch: [28][5680/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5208 (2.5398)	Prec@1 39.500 (37.850)	Prec@5 67.500 (68.794)
Epoch: [28][5690/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.7650 (2.5399)	Prec@1 35.000 (37.848)	Prec@5 66.500 (68.792)
Epoch: [28][5700/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.5037 (2.5398)	Prec@1 37.000 (37.851)	Prec@5 70.500 (68.795)
Epoch: [28][5710/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7629 (2.5397)	Prec@1 38.000 (37.852)	Prec@5 65.000 (68.798)
Epoch: [28][5720/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.3741 (2.5399)	Prec@1 44.000 (37.851)	Prec@5 72.000 (68.794)
Epoch: [28][5730/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7490 (2.5399)	Prec@1 35.500 (37.851)	Prec@5 60.000 (68.794)
Epoch: [28][5740/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5263 (2.5401)	Prec@1 38.000 (37.845)	Prec@5 68.500 (68.789)
Epoch: [28][5750/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6515 (2.5403)	Prec@1 34.000 (37.840)	Prec@5 68.500 (68.787)
Epoch: [28][5760/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3238 (2.5402)	Prec@1 42.500 (37.844)	Prec@5 73.500 (68.788)
Epoch: [28][5770/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4773 (2.5403)	Prec@1 37.500 (37.843)	Prec@5 71.000 (68.787)
Epoch: [28][5780/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6236 (2.5403)	Prec@1 38.500 (37.843)	Prec@5 67.000 (68.787)
Epoch: [28][5790/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4019 (2.5403)	Prec@1 42.500 (37.845)	Prec@5 68.000 (68.785)
Epoch: [28][5800/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.6964 (2.5405)	Prec@1 34.000 (37.844)	Prec@5 63.500 (68.783)
Epoch: [28][5810/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5955 (2.5404)	Prec@1 36.500 (37.843)	Prec@5 65.500 (68.783)
Epoch: [28][5820/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4900 (2.5405)	Prec@1 38.500 (37.842)	Prec@5 68.500 (68.783)
Epoch: [28][5830/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6437 (2.5405)	Prec@1 38.000 (37.842)	Prec@5 67.500 (68.782)
Epoch: [28][5840/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6685 (2.5405)	Prec@1 37.500 (37.842)	Prec@5 64.500 (68.782)
Epoch: [28][5850/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5243 (2.5406)	Prec@1 35.000 (37.839)	Prec@5 69.000 (68.781)
Epoch: [28][5860/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5871 (2.5407)	Prec@1 37.500 (37.838)	Prec@5 69.000 (68.781)
Epoch: [28][5870/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3723 (2.5407)	Prec@1 42.000 (37.838)	Prec@5 70.000 (68.779)
Epoch: [28][5880/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.7217 (2.5408)	Prec@1 33.500 (37.837)	Prec@5 65.000 (68.780)
Epoch: [28][5890/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4235 (2.5406)	Prec@1 38.500 (37.840)	Prec@5 69.500 (68.783)
Epoch: [28][5900/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4674 (2.5405)	Prec@1 42.000 (37.841)	Prec@5 71.000 (68.783)
Epoch: [28][5910/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4574 (2.5405)	Prec@1 39.000 (37.844)	Prec@5 68.500 (68.784)
Epoch: [28][5920/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4256 (2.5405)	Prec@1 38.000 (37.843)	Prec@5 72.000 (68.785)
Epoch: [28][5930/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.3597 (2.5406)	Prec@1 37.000 (37.842)	Prec@5 73.500 (68.784)
Epoch: [28][5940/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6778 (2.5407)	Prec@1 39.000 (37.843)	Prec@5 69.000 (68.781)
Epoch: [28][5950/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5210 (2.5407)	Prec@1 40.500 (37.843)	Prec@5 70.500 (68.780)
Epoch: [28][5960/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.3208 (2.5408)	Prec@1 42.500 (37.844)	Prec@5 77.000 (68.780)
Epoch: [28][5970/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.4273 (2.5410)	Prec@1 35.500 (37.838)	Prec@5 75.000 (68.776)
Epoch: [28][5980/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4039 (2.5408)	Prec@1 39.000 (37.844)	Prec@5 68.000 (68.777)
Epoch: [28][5990/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6868 (2.5408)	Prec@1 35.000 (37.843)	Prec@5 67.000 (68.778)
Epoch: [28][6000/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6023 (2.5408)	Prec@1 40.000 (37.844)	Prec@5 66.500 (68.778)
Epoch: [28][6010/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6087 (2.5409)	Prec@1 38.000 (37.839)	Prec@5 69.000 (68.777)
Epoch: [28][6020/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.5023 (2.5409)	Prec@1 36.500 (37.839)	Prec@5 68.500 (68.778)
Epoch: [28][6030/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.7333 (2.5409)	Prec@1 34.000 (37.839)	Prec@5 66.000 (68.779)
Epoch: [28][6040/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6970 (2.5408)	Prec@1 31.500 (37.839)	Prec@5 63.500 (68.777)
Epoch: [28][6050/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.9199 (2.5409)	Prec@1 33.000 (37.839)	Prec@5 62.500 (68.776)
Epoch: [28][6060/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6222 (2.5409)	Prec@1 34.500 (37.837)	Prec@5 66.500 (68.776)
Epoch: [28][6070/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5108 (2.5409)	Prec@1 37.000 (37.835)	Prec@5 68.500 (68.777)
Epoch: [28][6080/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6693 (2.5409)	Prec@1 34.500 (37.834)	Prec@5 68.000 (68.776)
Epoch: [28][6090/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5950 (2.5409)	Prec@1 36.500 (37.836)	Prec@5 71.500 (68.777)
Epoch: [28][6100/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5480 (2.5410)	Prec@1 40.000 (37.835)	Prec@5 67.000 (68.776)
Epoch: [28][6110/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3928 (2.5409)	Prec@1 39.000 (37.836)	Prec@5 70.500 (68.776)
Epoch: [28][6120/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4124 (2.5410)	Prec@1 40.500 (37.837)	Prec@5 69.500 (68.775)
Epoch: [28][6130/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.5565 (2.5410)	Prec@1 40.000 (37.838)	Prec@5 71.500 (68.774)
Epoch: [28][6140/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6978 (2.5410)	Prec@1 35.000 (37.836)	Prec@5 72.000 (68.774)
Epoch: [28][6150/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5609 (2.5410)	Prec@1 37.500 (37.835)	Prec@5 70.000 (68.773)
Epoch: [28][6160/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6336 (2.5411)	Prec@1 36.000 (37.834)	Prec@5 64.500 (68.770)
Epoch: [28][6170/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6291 (2.5412)	Prec@1 32.500 (37.833)	Prec@5 66.500 (68.770)
Epoch: [28][6180/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4091 (2.5410)	Prec@1 41.500 (37.836)	Prec@5 70.000 (68.773)
Epoch: [28][6190/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5446 (2.5410)	Prec@1 39.000 (37.835)	Prec@5 71.000 (68.774)
Epoch: [28][6200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4078 (2.5409)	Prec@1 41.000 (37.836)	Prec@5 70.000 (68.774)
Epoch: [28][6210/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4571 (2.5409)	Prec@1 35.000 (37.838)	Prec@5 70.000 (68.773)
Epoch: [28][6220/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5734 (2.5410)	Prec@1 38.500 (37.838)	Prec@5 68.500 (68.772)
Epoch: [28][6230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3870 (2.5410)	Prec@1 35.000 (37.838)	Prec@5 74.000 (68.772)
Epoch: [28][6240/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.3580 (2.5409)	Prec@1 40.500 (37.839)	Prec@5 73.000 (68.773)
Epoch: [28][6250/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6370 (2.5409)	Prec@1 37.000 (37.839)	Prec@5 66.000 (68.773)
Epoch: [28][6260/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6050 (2.5409)	Prec@1 38.500 (37.839)	Prec@5 70.500 (68.772)
Epoch: [28][6270/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5536 (2.5409)	Prec@1 36.000 (37.839)	Prec@5 68.000 (68.774)
Epoch: [28][6280/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5547 (2.5410)	Prec@1 36.000 (37.837)	Prec@5 69.500 (68.773)
Epoch: [28][6290/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6994 (2.5410)	Prec@1 32.500 (37.836)	Prec@5 67.000 (68.774)
Epoch: [28][6300/9018]	Time 0.766 (0.615)	Data 0.001 (0.001)	Loss 2.4159 (2.5410)	Prec@1 40.500 (37.835)	Prec@5 73.000 (68.775)
Epoch: [28][6310/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3289 (2.5409)	Prec@1 40.500 (37.837)	Prec@5 71.000 (68.777)
Epoch: [28][6320/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3983 (2.5408)	Prec@1 45.000 (37.835)	Prec@5 70.500 (68.778)
Epoch: [28][6330/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.2502 (2.5408)	Prec@1 45.000 (37.836)	Prec@5 77.500 (68.779)
Epoch: [28][6340/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.3639 (2.5408)	Prec@1 41.000 (37.837)	Prec@5 71.000 (68.778)
Epoch: [28][6350/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.4586 (2.5407)	Prec@1 43.500 (37.839)	Prec@5 70.500 (68.779)
Epoch: [28][6360/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7173 (2.5407)	Prec@1 30.500 (37.839)	Prec@5 66.500 (68.779)
Epoch: [28][6370/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5565 (2.5408)	Prec@1 34.000 (37.837)	Prec@5 68.000 (68.776)
Epoch: [28][6380/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7981 (2.5409)	Prec@1 33.500 (37.836)	Prec@5 63.500 (68.774)
Epoch: [28][6390/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5312 (2.5408)	Prec@1 34.500 (37.838)	Prec@5 71.500 (68.776)
Epoch: [28][6400/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5193 (2.5407)	Prec@1 37.500 (37.840)	Prec@5 69.500 (68.777)
Epoch: [28][6410/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5382 (2.5407)	Prec@1 39.000 (37.842)	Prec@5 69.000 (68.778)
Epoch: [28][6420/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4400 (2.5408)	Prec@1 42.000 (37.841)	Prec@5 73.000 (68.779)
Epoch: [28][6430/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.6241 (2.5407)	Prec@1 34.000 (37.841)	Prec@5 66.500 (68.778)
Epoch: [28][6440/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4720 (2.5407)	Prec@1 41.500 (37.845)	Prec@5 71.500 (68.780)
Epoch: [28][6450/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6990 (2.5407)	Prec@1 36.500 (37.845)	Prec@5 65.500 (68.780)
Epoch: [28][6460/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5080 (2.5407)	Prec@1 41.000 (37.844)	Prec@5 67.000 (68.778)
Epoch: [28][6470/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4355 (2.5407)	Prec@1 35.000 (37.843)	Prec@5 70.000 (68.777)
Epoch: [28][6480/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5616 (2.5407)	Prec@1 38.000 (37.843)	Prec@5 65.000 (68.777)
Epoch: [28][6490/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4549 (2.5407)	Prec@1 38.500 (37.842)	Prec@5 68.000 (68.775)
Epoch: [28][6500/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3431 (2.5407)	Prec@1 43.000 (37.842)	Prec@5 72.000 (68.775)
Epoch: [28][6510/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6330 (2.5408)	Prec@1 37.500 (37.840)	Prec@5 68.000 (68.773)
Epoch: [28][6520/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4221 (2.5407)	Prec@1 45.500 (37.841)	Prec@5 69.000 (68.774)
Epoch: [28][6530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5583 (2.5407)	Prec@1 41.000 (37.841)	Prec@5 70.500 (68.776)
Epoch: [28][6540/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4861 (2.5406)	Prec@1 42.000 (37.842)	Prec@5 67.500 (68.777)
Epoch: [28][6550/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4687 (2.5406)	Prec@1 37.500 (37.840)	Prec@5 66.500 (68.775)
Epoch: [28][6560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5356 (2.5407)	Prec@1 37.000 (37.839)	Prec@5 67.500 (68.770)
Epoch: [28][6570/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4473 (2.5407)	Prec@1 42.000 (37.840)	Prec@5 66.500 (68.770)
Epoch: [28][6580/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6171 (2.5407)	Prec@1 39.000 (37.840)	Prec@5 64.000 (68.769)
Epoch: [28][6590/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7147 (2.5406)	Prec@1 36.000 (37.841)	Prec@5 65.500 (68.770)
Epoch: [28][6600/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4573 (2.5406)	Prec@1 38.500 (37.842)	Prec@5 68.000 (68.770)
Epoch: [28][6610/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4617 (2.5406)	Prec@1 41.500 (37.843)	Prec@5 66.500 (68.768)
Epoch: [28][6620/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2985 (2.5406)	Prec@1 42.000 (37.845)	Prec@5 73.500 (68.768)
Epoch: [28][6630/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.6623 (2.5406)	Prec@1 38.000 (37.847)	Prec@5 64.000 (68.768)
Epoch: [28][6640/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4240 (2.5406)	Prec@1 40.000 (37.845)	Prec@5 70.500 (68.768)
Epoch: [28][6650/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.7011 (2.5407)	Prec@1 38.500 (37.843)	Prec@5 65.500 (68.767)
Epoch: [28][6660/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5285 (2.5408)	Prec@1 37.000 (37.842)	Prec@5 68.500 (68.766)
Epoch: [28][6670/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6928 (2.5408)	Prec@1 31.500 (37.840)	Prec@5 65.000 (68.764)
Epoch: [28][6680/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.5952 (2.5408)	Prec@1 44.000 (37.840)	Prec@5 66.500 (68.764)
Epoch: [28][6690/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6710 (2.5409)	Prec@1 38.500 (37.839)	Prec@5 66.500 (68.764)
Epoch: [28][6700/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4749 (2.5409)	Prec@1 38.000 (37.841)	Prec@5 69.000 (68.762)
Epoch: [28][6710/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5770 (2.5409)	Prec@1 33.500 (37.840)	Prec@5 71.000 (68.762)
Epoch: [28][6720/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4795 (2.5408)	Prec@1 42.000 (37.840)	Prec@5 68.500 (68.763)
Epoch: [28][6730/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4752 (2.5409)	Prec@1 39.000 (37.839)	Prec@5 70.500 (68.762)
Epoch: [28][6740/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3909 (2.5408)	Prec@1 41.000 (37.839)	Prec@5 71.500 (68.764)
Epoch: [28][6750/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3405 (2.5408)	Prec@1 41.500 (37.840)	Prec@5 76.500 (68.765)
Epoch: [28][6760/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6741 (2.5409)	Prec@1 36.500 (37.838)	Prec@5 65.500 (68.764)
Epoch: [28][6770/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6587 (2.5409)	Prec@1 26.500 (37.836)	Prec@5 66.500 (68.763)
Epoch: [28][6780/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6723 (2.5408)	Prec@1 34.000 (37.837)	Prec@5 68.000 (68.764)
Epoch: [28][6790/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4854 (2.5408)	Prec@1 38.500 (37.838)	Prec@5 68.500 (68.765)
Epoch: [28][6800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4059 (2.5407)	Prec@1 41.000 (37.838)	Prec@5 77.500 (68.769)
Epoch: [28][6810/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4784 (2.5407)	Prec@1 38.000 (37.838)	Prec@5 71.000 (68.767)
Epoch: [28][6820/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4260 (2.5408)	Prec@1 38.000 (37.836)	Prec@5 67.000 (68.767)
Epoch: [28][6830/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5710 (2.5407)	Prec@1 38.500 (37.836)	Prec@5 66.500 (68.769)
Epoch: [28][6840/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.3414 (2.5407)	Prec@1 38.000 (37.835)	Prec@5 74.000 (68.766)
Epoch: [28][6850/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7494 (2.5407)	Prec@1 34.500 (37.836)	Prec@5 65.000 (68.765)
Epoch: [28][6860/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6686 (2.5408)	Prec@1 37.500 (37.835)	Prec@5 68.500 (68.763)
Epoch: [28][6870/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4945 (2.5408)	Prec@1 38.000 (37.835)	Prec@5 70.500 (68.765)
Epoch: [28][6880/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5030 (2.5408)	Prec@1 35.500 (37.835)	Prec@5 68.500 (68.765)
Epoch: [28][6890/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7432 (2.5409)	Prec@1 33.000 (37.833)	Prec@5 64.500 (68.763)
Epoch: [28][6900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5309 (2.5409)	Prec@1 37.000 (37.831)	Prec@5 70.000 (68.765)
Epoch: [28][6910/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4638 (2.5410)	Prec@1 39.500 (37.828)	Prec@5 72.500 (68.765)
Epoch: [28][6920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8129 (2.5410)	Prec@1 33.000 (37.826)	Prec@5 63.500 (68.765)
Epoch: [28][6930/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4762 (2.5410)	Prec@1 43.000 (37.827)	Prec@5 66.500 (68.764)
Epoch: [28][6940/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6026 (2.5410)	Prec@1 37.500 (37.827)	Prec@5 65.000 (68.761)
Epoch: [28][6950/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5494 (2.5410)	Prec@1 42.500 (37.828)	Prec@5 68.500 (68.760)
Epoch: [28][6960/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.7983 (2.5410)	Prec@1 33.500 (37.826)	Prec@5 62.500 (68.761)
Epoch: [28][6970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6168 (2.5411)	Prec@1 35.500 (37.826)	Prec@5 64.500 (68.760)
Epoch: [28][6980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3886 (2.5410)	Prec@1 42.500 (37.827)	Prec@5 71.500 (68.760)
Epoch: [28][6990/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.5865 (2.5410)	Prec@1 36.000 (37.829)	Prec@5 68.000 (68.761)
Epoch: [28][7000/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7476 (2.5410)	Prec@1 38.500 (37.831)	Prec@5 62.500 (68.762)
Epoch: [28][7010/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.4116 (2.5411)	Prec@1 37.500 (37.826)	Prec@5 74.000 (68.761)
Epoch: [28][7020/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5639 (2.5411)	Prec@1 35.000 (37.825)	Prec@5 67.500 (68.759)
Epoch: [28][7030/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4715 (2.5411)	Prec@1 42.000 (37.825)	Prec@5 68.000 (68.760)
Epoch: [28][7040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6142 (2.5411)	Prec@1 32.500 (37.825)	Prec@5 65.500 (68.761)
Epoch: [28][7050/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6521 (2.5411)	Prec@1 34.000 (37.823)	Prec@5 67.000 (68.761)
Epoch: [28][7060/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5450 (2.5412)	Prec@1 43.500 (37.824)	Prec@5 68.000 (68.761)
Epoch: [28][7070/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8613 (2.5412)	Prec@1 28.500 (37.822)	Prec@5 62.000 (68.760)
Epoch: [28][7080/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5331 (2.5412)	Prec@1 43.000 (37.823)	Prec@5 69.500 (68.761)
Epoch: [28][7090/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5710 (2.5412)	Prec@1 36.500 (37.823)	Prec@5 70.000 (68.759)
Epoch: [28][7100/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3492 (2.5412)	Prec@1 41.500 (37.823)	Prec@5 72.500 (68.761)
Epoch: [28][7110/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.5918 (2.5413)	Prec@1 38.000 (37.824)	Prec@5 64.500 (68.760)
Epoch: [28][7120/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6729 (2.5414)	Prec@1 34.500 (37.821)	Prec@5 68.500 (68.758)
Epoch: [28][7130/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4323 (2.5414)	Prec@1 35.000 (37.822)	Prec@5 72.000 (68.759)
Epoch: [28][7140/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5863 (2.5413)	Prec@1 38.000 (37.823)	Prec@5 66.500 (68.759)
Epoch: [28][7150/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7357 (2.5414)	Prec@1 35.000 (37.822)	Prec@5 62.500 (68.758)
Epoch: [28][7160/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5205 (2.5413)	Prec@1 36.500 (37.825)	Prec@5 69.500 (68.759)
Epoch: [28][7170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5967 (2.5413)	Prec@1 38.000 (37.827)	Prec@5 66.000 (68.760)
Epoch: [28][7180/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6090 (2.5412)	Prec@1 33.000 (37.827)	Prec@5 66.500 (68.762)
Epoch: [28][7190/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5830 (2.5412)	Prec@1 37.500 (37.828)	Prec@5 68.500 (68.760)
Epoch: [28][7200/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.7636 (2.5413)	Prec@1 33.000 (37.826)	Prec@5 65.500 (68.759)
Epoch: [28][7210/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6173 (2.5413)	Prec@1 42.000 (37.826)	Prec@5 66.000 (68.758)
Epoch: [28][7220/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.8878 (2.5413)	Prec@1 33.000 (37.825)	Prec@5 60.000 (68.756)
Epoch: [28][7230/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6072 (2.5412)	Prec@1 36.500 (37.828)	Prec@5 67.500 (68.757)
Epoch: [28][7240/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6141 (2.5413)	Prec@1 40.000 (37.830)	Prec@5 65.500 (68.757)
Epoch: [28][7250/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5799 (2.5413)	Prec@1 30.500 (37.829)	Prec@5 70.000 (68.757)
Epoch: [28][7260/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6465 (2.5413)	Prec@1 34.500 (37.831)	Prec@5 71.500 (68.758)
Epoch: [28][7270/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5458 (2.5413)	Prec@1 37.000 (37.832)	Prec@5 69.000 (68.756)
Epoch: [28][7280/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3906 (2.5414)	Prec@1 39.500 (37.831)	Prec@5 70.500 (68.754)
Epoch: [28][7290/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.8032 (2.5414)	Prec@1 35.000 (37.831)	Prec@5 61.500 (68.753)
Epoch: [28][7300/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6943 (2.5414)	Prec@1 34.000 (37.831)	Prec@5 68.500 (68.753)
Epoch: [28][7310/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5812 (2.5415)	Prec@1 39.500 (37.829)	Prec@5 69.000 (68.753)
Epoch: [28][7320/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3065 (2.5414)	Prec@1 41.500 (37.830)	Prec@5 70.500 (68.752)
Epoch: [28][7330/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5801 (2.5415)	Prec@1 35.500 (37.827)	Prec@5 69.000 (68.752)
Epoch: [28][7340/9018]	Time 0.758 (0.615)	Data 0.001 (0.001)	Loss 2.7053 (2.5415)	Prec@1 32.500 (37.826)	Prec@5 65.000 (68.750)
Epoch: [28][7350/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3695 (2.5416)	Prec@1 41.500 (37.825)	Prec@5 72.000 (68.750)
Epoch: [28][7360/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6075 (2.5417)	Prec@1 32.000 (37.822)	Prec@5 68.500 (68.749)
Epoch: [28][7370/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6175 (2.5417)	Prec@1 32.500 (37.820)	Prec@5 69.500 (68.749)
Epoch: [28][7380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.8894 (2.5418)	Prec@1 31.000 (37.817)	Prec@5 64.000 (68.747)
Epoch: [28][7390/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4213 (2.5418)	Prec@1 39.500 (37.819)	Prec@5 72.000 (68.746)
Epoch: [28][7400/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5732 (2.5418)	Prec@1 39.000 (37.818)	Prec@5 67.000 (68.747)
Epoch: [28][7410/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4718 (2.5419)	Prec@1 41.000 (37.818)	Prec@5 72.500 (68.746)
Epoch: [28][7420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4425 (2.5418)	Prec@1 42.000 (37.820)	Prec@5 69.500 (68.747)
Epoch: [28][7430/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6411 (2.5419)	Prec@1 35.500 (37.820)	Prec@5 68.000 (68.746)
Epoch: [28][7440/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6981 (2.5419)	Prec@1 36.500 (37.819)	Prec@5 65.000 (68.745)
Epoch: [28][7450/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7628 (2.5419)	Prec@1 37.500 (37.820)	Prec@5 65.500 (68.746)
Epoch: [28][7460/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7551 (2.5420)	Prec@1 38.000 (37.819)	Prec@5 68.500 (68.745)
Epoch: [28][7470/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7373 (2.5421)	Prec@1 36.500 (37.818)	Prec@5 64.000 (68.743)
Epoch: [28][7480/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.7014 (2.5422)	Prec@1 35.500 (37.817)	Prec@5 68.000 (68.742)
Epoch: [28][7490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6013 (2.5421)	Prec@1 35.000 (37.816)	Prec@5 69.500 (68.743)
Epoch: [28][7500/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.7457 (2.5422)	Prec@1 31.500 (37.814)	Prec@5 66.000 (68.742)
Epoch: [28][7510/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6232 (2.5422)	Prec@1 33.000 (37.813)	Prec@5 66.500 (68.742)
Epoch: [28][7520/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5331 (2.5422)	Prec@1 34.500 (37.813)	Prec@5 68.500 (68.744)
Epoch: [28][7530/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4979 (2.5422)	Prec@1 36.500 (37.813)	Prec@5 71.000 (68.741)
Epoch: [28][7540/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4987 (2.5422)	Prec@1 38.000 (37.813)	Prec@5 66.000 (68.741)
Epoch: [28][7550/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.7750 (2.5423)	Prec@1 33.000 (37.811)	Prec@5 63.500 (68.738)
Epoch: [28][7560/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.8692 (2.5423)	Prec@1 34.500 (37.812)	Prec@5 63.000 (68.740)
Epoch: [28][7570/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4924 (2.5423)	Prec@1 41.000 (37.813)	Prec@5 71.500 (68.741)
Epoch: [28][7580/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4737 (2.5423)	Prec@1 36.000 (37.816)	Prec@5 67.000 (68.741)
Epoch: [28][7590/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6233 (2.5423)	Prec@1 37.500 (37.816)	Prec@5 67.000 (68.741)
Epoch: [28][7600/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5339 (2.5423)	Prec@1 41.000 (37.817)	Prec@5 67.000 (68.743)
Epoch: [28][7610/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3583 (2.5422)	Prec@1 40.000 (37.820)	Prec@5 72.500 (68.744)
Epoch: [28][7620/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.4790 (2.5422)	Prec@1 40.500 (37.820)	Prec@5 72.500 (68.745)
Epoch: [28][7630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6864 (2.5422)	Prec@1 37.500 (37.821)	Prec@5 69.500 (68.746)
Epoch: [28][7640/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6398 (2.5422)	Prec@1 32.000 (37.820)	Prec@5 66.500 (68.745)
Epoch: [28][7650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5897 (2.5421)	Prec@1 37.000 (37.819)	Prec@5 69.000 (68.746)
Epoch: [28][7660/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5087 (2.5421)	Prec@1 38.500 (37.820)	Prec@5 73.000 (68.747)
Epoch: [28][7670/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.6544 (2.5421)	Prec@1 38.000 (37.819)	Prec@5 66.500 (68.745)
Epoch: [28][7680/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.8727 (2.5422)	Prec@1 32.000 (37.817)	Prec@5 67.500 (68.745)
Epoch: [28][7690/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4081 (2.5421)	Prec@1 42.000 (37.818)	Prec@5 68.000 (68.744)
Epoch: [28][7700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5132 (2.5421)	Prec@1 39.500 (37.818)	Prec@5 68.500 (68.742)
Epoch: [28][7710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4569 (2.5422)	Prec@1 42.500 (37.819)	Prec@5 69.000 (68.742)
Epoch: [28][7720/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5284 (2.5421)	Prec@1 37.500 (37.821)	Prec@5 70.500 (68.743)
Epoch: [28][7730/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5460 (2.5421)	Prec@1 37.500 (37.822)	Prec@5 69.000 (68.743)
Epoch: [28][7740/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6885 (2.5421)	Prec@1 39.000 (37.823)	Prec@5 66.500 (68.744)
Epoch: [28][7750/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4995 (2.5421)	Prec@1 39.000 (37.822)	Prec@5 73.000 (68.744)
Epoch: [28][7760/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6294 (2.5421)	Prec@1 36.000 (37.823)	Prec@5 65.000 (68.743)
Epoch: [28][7770/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6047 (2.5422)	Prec@1 37.500 (37.821)	Prec@5 67.000 (68.743)
Epoch: [28][7780/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6352 (2.5423)	Prec@1 35.000 (37.820)	Prec@5 65.000 (68.741)
Epoch: [28][7790/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3621 (2.5423)	Prec@1 37.500 (37.819)	Prec@5 74.000 (68.740)
Epoch: [28][7800/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5835 (2.5423)	Prec@1 34.500 (37.820)	Prec@5 65.500 (68.741)
Epoch: [28][7810/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6553 (2.5424)	Prec@1 39.000 (37.818)	Prec@5 65.000 (68.738)
Epoch: [28][7820/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7547 (2.5424)	Prec@1 33.000 (37.820)	Prec@5 61.000 (68.736)
Epoch: [28][7830/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.3551 (2.5423)	Prec@1 38.000 (37.822)	Prec@5 73.500 (68.738)
Epoch: [28][7840/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5112 (2.5422)	Prec@1 37.000 (37.823)	Prec@5 67.500 (68.739)
Epoch: [28][7850/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6487 (2.5422)	Prec@1 34.500 (37.825)	Prec@5 63.500 (68.739)
Epoch: [28][7860/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6659 (2.5422)	Prec@1 31.500 (37.824)	Prec@5 67.000 (68.739)
Epoch: [28][7870/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5161 (2.5421)	Prec@1 39.500 (37.824)	Prec@5 70.000 (68.741)
Epoch: [28][7880/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3534 (2.5422)	Prec@1 39.500 (37.825)	Prec@5 71.000 (68.740)
Epoch: [28][7890/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5519 (2.5421)	Prec@1 38.000 (37.825)	Prec@5 67.000 (68.740)
Epoch: [28][7900/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.6118 (2.5421)	Prec@1 35.500 (37.824)	Prec@5 66.000 (68.741)
Epoch: [28][7910/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4369 (2.5421)	Prec@1 39.000 (37.823)	Prec@5 68.000 (68.741)
Epoch: [28][7920/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4896 (2.5421)	Prec@1 37.500 (37.822)	Prec@5 70.000 (68.741)
Epoch: [28][7930/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5479 (2.5422)	Prec@1 36.500 (37.822)	Prec@5 67.000 (68.741)
Epoch: [28][7940/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2312 (2.5421)	Prec@1 44.500 (37.822)	Prec@5 76.500 (68.741)
Epoch: [28][7950/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.4173 (2.5421)	Prec@1 37.500 (37.823)	Prec@5 71.500 (68.742)
Epoch: [28][7960/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6548 (2.5422)	Prec@1 32.000 (37.821)	Prec@5 62.500 (68.740)
Epoch: [28][7970/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6021 (2.5421)	Prec@1 36.000 (37.821)	Prec@5 68.500 (68.742)
Epoch: [28][7980/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.3135 (2.5422)	Prec@1 46.000 (37.822)	Prec@5 75.500 (68.741)
Epoch: [28][7990/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5568 (2.5422)	Prec@1 39.000 (37.821)	Prec@5 70.000 (68.741)
Epoch: [28][8000/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.5299 (2.5422)	Prec@1 38.500 (37.820)	Prec@5 66.500 (68.741)
Epoch: [28][8010/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.4139 (2.5422)	Prec@1 38.500 (37.821)	Prec@5 73.000 (68.741)
Epoch: [28][8020/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.9701 (2.5423)	Prec@1 30.000 (37.822)	Prec@5 61.000 (68.740)
Epoch: [28][8030/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4069 (2.5422)	Prec@1 38.500 (37.820)	Prec@5 73.500 (68.740)
Epoch: [28][8040/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5323 (2.5421)	Prec@1 33.500 (37.820)	Prec@5 69.000 (68.741)
Epoch: [28][8050/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4446 (2.5422)	Prec@1 42.000 (37.819)	Prec@5 69.000 (68.740)
Epoch: [28][8060/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.2568 (2.5422)	Prec@1 40.500 (37.819)	Prec@5 72.500 (68.739)
Epoch: [28][8070/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.8383 (2.5422)	Prec@1 28.500 (37.820)	Prec@5 62.500 (68.741)
Epoch: [28][8080/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.2578 (2.5421)	Prec@1 41.000 (37.820)	Prec@5 73.000 (68.741)
Epoch: [28][8090/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6017 (2.5422)	Prec@1 38.000 (37.818)	Prec@5 67.500 (68.739)
Epoch: [28][8100/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4830 (2.5423)	Prec@1 38.500 (37.816)	Prec@5 71.000 (68.737)
Epoch: [28][8110/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4051 (2.5423)	Prec@1 37.500 (37.819)	Prec@5 72.500 (68.738)
Epoch: [28][8120/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7379 (2.5423)	Prec@1 34.500 (37.822)	Prec@5 68.500 (68.738)
Epoch: [28][8130/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4730 (2.5423)	Prec@1 38.500 (37.823)	Prec@5 72.500 (68.738)
Epoch: [28][8140/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4295 (2.5422)	Prec@1 39.500 (37.824)	Prec@5 71.000 (68.739)
Epoch: [28][8150/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5563 (2.5422)	Prec@1 33.500 (37.825)	Prec@5 67.500 (68.738)
Epoch: [28][8160/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4053 (2.5423)	Prec@1 43.500 (37.824)	Prec@5 70.000 (68.735)
Epoch: [28][8170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4718 (2.5422)	Prec@1 37.500 (37.824)	Prec@5 74.500 (68.735)
Epoch: [28][8180/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3959 (2.5423)	Prec@1 41.000 (37.823)	Prec@5 72.500 (68.734)
Epoch: [28][8190/9018]	Time 0.650 (0.615)	Data 0.001 (0.001)	Loss 2.3350 (2.5422)	Prec@1 46.500 (37.825)	Prec@5 75.000 (68.735)
Epoch: [28][8200/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6656 (2.5422)	Prec@1 35.000 (37.825)	Prec@5 67.500 (68.735)
Epoch: [28][8210/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6255 (2.5422)	Prec@1 36.000 (37.825)	Prec@5 69.500 (68.737)
Epoch: [28][8220/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5301 (2.5422)	Prec@1 37.500 (37.824)	Prec@5 70.000 (68.735)
Epoch: [28][8230/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6919 (2.5422)	Prec@1 35.500 (37.824)	Prec@5 67.500 (68.734)
Epoch: [28][8240/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3396 (2.5423)	Prec@1 42.000 (37.826)	Prec@5 71.500 (68.733)
Epoch: [28][8250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3908 (2.5422)	Prec@1 41.000 (37.827)	Prec@5 72.000 (68.734)
Epoch: [28][8260/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3190 (2.5422)	Prec@1 40.000 (37.826)	Prec@5 70.000 (68.731)
Epoch: [28][8270/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4549 (2.5423)	Prec@1 39.500 (37.827)	Prec@5 69.500 (68.730)
Epoch: [28][8280/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.6865 (2.5423)	Prec@1 36.500 (37.828)	Prec@5 62.000 (68.729)
Epoch: [28][8290/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3329 (2.5423)	Prec@1 42.000 (37.827)	Prec@5 72.000 (68.728)
Epoch: [28][8300/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4693 (2.5422)	Prec@1 34.500 (37.829)	Prec@5 71.000 (68.730)
Epoch: [28][8310/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4532 (2.5421)	Prec@1 41.000 (37.830)	Prec@5 71.000 (68.731)
Epoch: [28][8320/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4950 (2.5423)	Prec@1 40.000 (37.829)	Prec@5 68.000 (68.729)
Epoch: [28][8330/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.6694 (2.5423)	Prec@1 38.000 (37.830)	Prec@5 66.000 (68.728)
Epoch: [28][8340/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3816 (2.5423)	Prec@1 40.000 (37.831)	Prec@5 71.000 (68.728)
Epoch: [28][8350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5964 (2.5423)	Prec@1 36.000 (37.830)	Prec@5 68.000 (68.727)
Epoch: [28][8360/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4278 (2.5423)	Prec@1 40.500 (37.830)	Prec@5 73.500 (68.728)
Epoch: [28][8370/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5309 (2.5423)	Prec@1 35.000 (37.830)	Prec@5 72.500 (68.730)
Epoch: [28][8380/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6020 (2.5423)	Prec@1 33.500 (37.828)	Prec@5 66.000 (68.729)
Epoch: [28][8390/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7802 (2.5423)	Prec@1 30.000 (37.827)	Prec@5 65.500 (68.728)
Epoch: [28][8400/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4590 (2.5423)	Prec@1 43.500 (37.828)	Prec@5 72.000 (68.729)
Epoch: [28][8410/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3960 (2.5423)	Prec@1 37.000 (37.828)	Prec@5 69.500 (68.729)
Epoch: [28][8420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3481 (2.5422)	Prec@1 38.000 (37.829)	Prec@5 72.500 (68.730)
Epoch: [28][8430/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3083 (2.5422)	Prec@1 41.500 (37.830)	Prec@5 72.500 (68.732)
Epoch: [28][8440/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6057 (2.5423)	Prec@1 38.500 (37.829)	Prec@5 69.500 (68.730)
Epoch: [28][8450/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3950 (2.5422)	Prec@1 42.500 (37.830)	Prec@5 71.000 (68.732)
Epoch: [28][8460/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4085 (2.5422)	Prec@1 44.000 (37.830)	Prec@5 71.000 (68.731)
Epoch: [28][8470/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6411 (2.5422)	Prec@1 39.000 (37.831)	Prec@5 65.000 (68.731)
Epoch: [28][8480/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5360 (2.5424)	Prec@1 39.000 (37.829)	Prec@5 72.000 (68.729)
Epoch: [28][8490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6363 (2.5424)	Prec@1 34.000 (37.827)	Prec@5 65.500 (68.728)
Epoch: [28][8500/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5466 (2.5424)	Prec@1 39.000 (37.827)	Prec@5 73.000 (68.729)
Epoch: [28][8510/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6793 (2.5425)	Prec@1 38.000 (37.826)	Prec@5 66.000 (68.727)
Epoch: [28][8520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5695 (2.5425)	Prec@1 39.000 (37.825)	Prec@5 67.500 (68.725)
Epoch: [28][8530/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5223 (2.5425)	Prec@1 43.500 (37.827)	Prec@5 70.500 (68.726)
Epoch: [28][8540/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4309 (2.5425)	Prec@1 40.500 (37.825)	Prec@5 72.000 (68.725)
Epoch: [28][8550/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5463 (2.5425)	Prec@1 39.000 (37.825)	Prec@5 68.500 (68.726)
Epoch: [28][8560/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6524 (2.5425)	Prec@1 29.500 (37.824)	Prec@5 70.000 (68.727)
Epoch: [28][8570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6536 (2.5425)	Prec@1 36.000 (37.825)	Prec@5 66.500 (68.728)
Epoch: [28][8580/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5692 (2.5425)	Prec@1 36.500 (37.826)	Prec@5 68.000 (68.729)
Epoch: [28][8590/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4744 (2.5425)	Prec@1 40.500 (37.825)	Prec@5 71.000 (68.729)
Epoch: [28][8600/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5788 (2.5425)	Prec@1 35.500 (37.824)	Prec@5 67.000 (68.729)
Epoch: [28][8610/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.5005 (2.5424)	Prec@1 44.500 (37.826)	Prec@5 68.000 (68.730)
Epoch: [28][8620/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4081 (2.5423)	Prec@1 40.000 (37.825)	Prec@5 72.500 (68.730)
Epoch: [28][8630/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4610 (2.5423)	Prec@1 40.500 (37.827)	Prec@5 71.500 (68.732)
Epoch: [28][8640/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6537 (2.5424)	Prec@1 33.500 (37.825)	Prec@5 69.500 (68.731)
Epoch: [28][8650/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6327 (2.5423)	Prec@1 37.500 (37.827)	Prec@5 70.000 (68.733)
Epoch: [28][8660/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.2854 (2.5423)	Prec@1 44.500 (37.826)	Prec@5 75.000 (68.734)
Epoch: [28][8670/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.8077 (2.5424)	Prec@1 34.000 (37.825)	Prec@5 65.500 (68.733)
Epoch: [28][8680/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3408 (2.5424)	Prec@1 41.500 (37.825)	Prec@5 71.000 (68.732)
Epoch: [28][8690/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.4797 (2.5424)	Prec@1 33.000 (37.824)	Prec@5 73.000 (68.731)
Epoch: [28][8700/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5640 (2.5424)	Prec@1 37.500 (37.826)	Prec@5 70.500 (68.732)
Epoch: [28][8710/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5509 (2.5424)	Prec@1 37.000 (37.826)	Prec@5 68.000 (68.732)
Epoch: [28][8720/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.4529 (2.5424)	Prec@1 41.500 (37.825)	Prec@5 73.000 (68.732)
Epoch: [28][8730/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4644 (2.5424)	Prec@1 38.500 (37.824)	Prec@5 73.500 (68.734)
Epoch: [28][8740/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3942 (2.5423)	Prec@1 39.500 (37.825)	Prec@5 69.000 (68.733)
Epoch: [28][8750/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.7225 (2.5424)	Prec@1 33.000 (37.824)	Prec@5 64.500 (68.733)
Epoch: [28][8760/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6205 (2.5424)	Prec@1 37.500 (37.822)	Prec@5 65.500 (68.732)
Epoch: [28][8770/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6155 (2.5423)	Prec@1 35.000 (37.824)	Prec@5 68.500 (68.733)
Epoch: [28][8780/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5876 (2.5423)	Prec@1 37.500 (37.825)	Prec@5 68.000 (68.734)
Epoch: [28][8790/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4044 (2.5424)	Prec@1 41.000 (37.822)	Prec@5 74.500 (68.733)
Epoch: [28][8800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6811 (2.5424)	Prec@1 36.000 (37.822)	Prec@5 68.500 (68.733)
Epoch: [28][8810/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5831 (2.5424)	Prec@1 37.000 (37.821)	Prec@5 68.500 (68.734)
Epoch: [28][8820/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3511 (2.5424)	Prec@1 39.000 (37.820)	Prec@5 73.000 (68.733)
Epoch: [28][8830/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5056 (2.5423)	Prec@1 40.000 (37.821)	Prec@5 72.500 (68.736)
Epoch: [28][8840/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.8026 (2.5424)	Prec@1 31.500 (37.818)	Prec@5 65.000 (68.736)
Epoch: [28][8850/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6375 (2.5424)	Prec@1 38.500 (37.818)	Prec@5 69.500 (68.736)
Epoch: [28][8860/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5327 (2.5424)	Prec@1 43.000 (37.820)	Prec@5 67.000 (68.736)
Epoch: [28][8870/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4474 (2.5424)	Prec@1 31.500 (37.818)	Prec@5 73.000 (68.735)
Epoch: [28][8880/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6438 (2.5425)	Prec@1 34.000 (37.817)	Prec@5 66.000 (68.733)
Epoch: [28][8890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5492 (2.5424)	Prec@1 40.500 (37.818)	Prec@5 71.500 (68.735)
Epoch: [28][8900/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5506 (2.5425)	Prec@1 36.000 (37.817)	Prec@5 67.500 (68.733)
Epoch: [28][8910/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4886 (2.5425)	Prec@1 41.000 (37.817)	Prec@5 71.500 (68.733)
Epoch: [28][8920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6688 (2.5425)	Prec@1 35.000 (37.818)	Prec@5 65.500 (68.733)
Epoch: [28][8930/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6360 (2.5424)	Prec@1 34.500 (37.818)	Prec@5 67.000 (68.734)
Epoch: [28][8940/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.5912 (2.5424)	Prec@1 38.500 (37.820)	Prec@5 68.500 (68.735)
Epoch: [28][8950/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6515 (2.5425)	Prec@1 38.000 (37.818)	Prec@5 68.500 (68.732)
Epoch: [28][8960/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5484 (2.5424)	Prec@1 37.500 (37.819)	Prec@5 71.500 (68.732)
Epoch: [28][8970/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6769 (2.5424)	Prec@1 34.000 (37.821)	Prec@5 65.000 (68.733)
Epoch: [28][8980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5235 (2.5424)	Prec@1 39.500 (37.822)	Prec@5 71.000 (68.733)
Epoch: [28][8990/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.5362 (2.5423)	Prec@1 36.500 (37.822)	Prec@5 71.000 (68.734)
Epoch: [28][9000/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4031 (2.5422)	Prec@1 43.000 (37.823)	Prec@5 73.000 (68.735)
Epoch: [28][9010/9018]	Time 0.600 (0.615)	Data 0.000 (0.001)	Loss 2.7994 (2.5423)	Prec@1 33.000 (37.821)	Prec@5 63.500 (68.732)
Test: [0/183]	Time 1.310 (1.310)	Loss 2.6269 (2.6269)	Prec@1 34.500 (34.500)	Prec@5 67.500 (67.500)
Test: [10/183]	Time 0.180 (0.306)	Loss 2.4980 (2.1539)	Prec@1 45.000 (45.909)	Prec@5 70.000 (76.909)
Test: [20/183]	Time 0.185 (0.250)	Loss 2.5740 (2.1701)	Prec@1 35.500 (46.048)	Prec@5 76.000 (76.119)
Test: [30/183]	Time 0.200 (0.236)	Loss 2.4666 (2.2400)	Prec@1 34.000 (43.452)	Prec@5 73.000 (75.468)
Test: [40/183]	Time 0.188 (0.227)	Loss 2.7736 (2.2465)	Prec@1 28.000 (43.561)	Prec@5 69.500 (74.817)
Test: [50/183]	Time 0.192 (0.220)	Loss 1.7813 (2.2343)	Prec@1 58.500 (44.108)	Prec@5 85.000 (74.833)
Test: [60/183]	Time 0.183 (0.216)	Loss 2.9551 (2.3064)	Prec@1 27.000 (41.811)	Prec@5 65.500 (73.541)
Test: [70/183]	Time 0.199 (0.212)	Loss 2.4503 (2.2858)	Prec@1 37.500 (41.880)	Prec@5 73.500 (74.148)
Test: [80/183]	Time 0.185 (0.211)	Loss 1.5098 (2.2458)	Prec@1 62.500 (42.864)	Prec@5 88.000 (74.833)
Test: [90/183]	Time 0.202 (0.210)	Loss 3.1904 (2.2401)	Prec@1 15.500 (43.071)	Prec@5 62.000 (75.005)
Test: [100/183]	Time 0.204 (0.208)	Loss 1.7827 (2.2559)	Prec@1 53.500 (42.559)	Prec@5 81.500 (74.827)
Test: [110/183]	Time 0.181 (0.207)	Loss 1.1846 (2.2635)	Prec@1 73.500 (42.356)	Prec@5 92.500 (74.707)
Test: [120/183]	Time 0.209 (0.206)	Loss 3.4047 (2.2646)	Prec@1 18.500 (42.236)	Prec@5 46.500 (74.616)
Test: [130/183]	Time 0.186 (0.205)	Loss 3.8461 (2.2759)	Prec@1 14.000 (41.866)	Prec@5 43.500 (74.618)
Test: [140/183]	Time 0.190 (0.204)	Loss 2.3282 (2.2676)	Prec@1 44.500 (42.294)	Prec@5 69.500 (74.770)
Test: [150/183]	Time 0.187 (0.203)	Loss 0.8925 (2.2546)	Prec@1 74.500 (42.520)	Prec@5 97.000 (74.990)
Test: [160/183]	Time 0.190 (0.203)	Loss 1.9744 (2.2552)	Prec@1 51.000 (42.547)	Prec@5 73.000 (74.910)
Test: [170/183]	Time 0.212 (0.202)	Loss 3.0390 (2.2786)	Prec@1 20.500 (42.032)	Prec@5 63.000 (74.462)
Test: [180/183]	Time 0.186 (0.202)	Loss 2.2852 (2.2846)	Prec@1 42.500 (42.064)	Prec@5 74.500 (74.265)
 * Prec@1 41.967 Prec@5 74.184
Epoch: [29][0/9018]	Time 2.727 (2.727)	Data 2.131 (2.131)	Loss 2.5019 (2.5019)	Prec@1 36.000 (36.000)	Prec@5 67.500 (67.500)
Epoch: [29][10/9018]	Time 0.589 (0.806)	Data 0.001 (0.194)	Loss 2.5236 (2.5433)	Prec@1 43.500 (37.955)	Prec@5 69.500 (68.682)
Epoch: [29][20/9018]	Time 0.723 (0.711)	Data 0.001 (0.102)	Loss 2.5836 (2.5518)	Prec@1 35.000 (37.881)	Prec@5 66.000 (68.357)
Epoch: [29][30/9018]	Time 0.591 (0.674)	Data 0.001 (0.069)	Loss 2.6277 (2.5458)	Prec@1 32.500 (38.129)	Prec@5 72.000 (68.565)
Epoch: [29][40/9018]	Time 0.603 (0.659)	Data 0.001 (0.053)	Loss 2.3605 (2.5437)	Prec@1 43.000 (38.024)	Prec@5 68.500 (68.549)
Epoch: [29][50/9018]	Time 0.605 (0.649)	Data 0.001 (0.043)	Loss 2.3451 (2.5425)	Prec@1 42.500 (37.961)	Prec@5 72.000 (68.676)
Epoch: [29][60/9018]	Time 0.611 (0.643)	Data 0.001 (0.036)	Loss 2.5759 (2.5360)	Prec@1 38.000 (38.066)	Prec@5 67.000 (68.926)
Epoch: [29][70/9018]	Time 0.757 (0.640)	Data 0.001 (0.031)	Loss 2.4892 (2.5419)	Prec@1 32.500 (37.873)	Prec@5 74.500 (68.754)
Epoch: [29][80/9018]	Time 0.631 (0.637)	Data 0.001 (0.027)	Loss 2.6981 (2.5399)	Prec@1 34.000 (37.796)	Prec@5 66.000 (68.728)
Epoch: [29][90/9018]	Time 0.592 (0.634)	Data 0.001 (0.024)	Loss 2.7517 (2.5431)	Prec@1 31.500 (37.852)	Prec@5 63.000 (68.588)
Epoch: [29][100/9018]	Time 0.606 (0.632)	Data 0.001 (0.022)	Loss 2.4563 (2.5452)	Prec@1 37.000 (37.762)	Prec@5 69.000 (68.569)
Epoch: [29][110/9018]	Time 0.607 (0.630)	Data 0.001 (0.020)	Loss 2.4802 (2.5409)	Prec@1 40.000 (37.869)	Prec@5 68.000 (68.635)
Epoch: [29][120/9018]	Time 0.615 (0.630)	Data 0.001 (0.018)	Loss 2.5971 (2.5420)	Prec@1 40.000 (37.855)	Prec@5 65.500 (68.599)
Epoch: [29][130/9018]	Time 0.609 (0.628)	Data 0.001 (0.017)	Loss 2.3907 (2.5424)	Prec@1 42.000 (37.882)	Prec@5 72.000 (68.637)
Epoch: [29][140/9018]	Time 0.602 (0.628)	Data 0.001 (0.016)	Loss 2.5929 (2.5462)	Prec@1 40.000 (37.787)	Prec@5 66.500 (68.574)
Epoch: [29][150/9018]	Time 0.593 (0.626)	Data 0.001 (0.015)	Loss 2.5894 (2.5434)	Prec@1 37.000 (37.917)	Prec@5 68.000 (68.629)
Epoch: [29][160/9018]	Time 0.592 (0.626)	Data 0.001 (0.014)	Loss 2.4835 (2.5445)	Prec@1 45.500 (37.829)	Prec@5 74.500 (68.643)
Epoch: [29][170/9018]	Time 0.597 (0.625)	Data 0.001 (0.013)	Loss 2.3849 (2.5430)	Prec@1 40.000 (37.836)	Prec@5 70.500 (68.652)
Epoch: [29][180/9018]	Time 0.635 (0.624)	Data 0.001 (0.013)	Loss 2.7552 (2.5421)	Prec@1 39.000 (37.876)	Prec@5 66.500 (68.704)
Epoch: [29][190/9018]	Time 0.592 (0.624)	Data 0.001 (0.012)	Loss 2.5008 (2.5448)	Prec@1 38.500 (37.814)	Prec@5 69.500 (68.652)
Epoch: [29][200/9018]	Time 0.631 (0.623)	Data 0.001 (0.011)	Loss 2.5755 (2.5407)	Prec@1 39.000 (37.896)	Prec@5 69.000 (68.692)
Epoch: [29][210/9018]	Time 0.598 (0.623)	Data 0.001 (0.011)	Loss 2.4485 (2.5416)	Prec@1 38.000 (37.900)	Prec@5 67.500 (68.623)
Epoch: [29][220/9018]	Time 0.595 (0.623)	Data 0.001 (0.010)	Loss 2.5596 (2.5407)	Prec@1 38.000 (37.962)	Prec@5 68.500 (68.645)
Epoch: [29][230/9018]	Time 0.642 (0.622)	Data 0.001 (0.010)	Loss 2.6291 (2.5405)	Prec@1 32.500 (37.961)	Prec@5 68.000 (68.671)
Epoch: [29][240/9018]	Time 0.599 (0.622)	Data 0.001 (0.010)	Loss 2.4269 (2.5409)	Prec@1 42.000 (38.023)	Prec@5 68.500 (68.635)
Epoch: [29][250/9018]	Time 0.613 (0.622)	Data 0.001 (0.009)	Loss 2.3215 (2.5388)	Prec@1 41.500 (38.000)	Prec@5 71.000 (68.661)
Epoch: [29][260/9018]	Time 0.604 (0.621)	Data 0.001 (0.009)	Loss 2.5449 (2.5407)	Prec@1 40.000 (37.967)	Prec@5 65.000 (68.607)
Epoch: [29][270/9018]	Time 0.602 (0.621)	Data 0.001 (0.009)	Loss 2.4688 (2.5380)	Prec@1 42.500 (37.970)	Prec@5 69.000 (68.686)
Epoch: [29][280/9018]	Time 0.608 (0.621)	Data 0.001 (0.008)	Loss 2.6346 (2.5363)	Prec@1 41.500 (37.993)	Prec@5 66.000 (68.717)
Epoch: [29][290/9018]	Time 0.611 (0.621)	Data 0.001 (0.008)	Loss 2.5089 (2.5334)	Prec@1 40.000 (38.024)	Prec@5 70.000 (68.792)
Epoch: [29][300/9018]	Time 0.605 (0.621)	Data 0.001 (0.008)	Loss 2.4497 (2.5350)	Prec@1 42.000 (38.017)	Prec@5 73.500 (68.784)
Epoch: [29][310/9018]	Time 0.625 (0.621)	Data 0.001 (0.008)	Loss 2.5280 (2.5373)	Prec@1 34.000 (37.981)	Prec@5 72.500 (68.760)
Epoch: [29][320/9018]	Time 0.598 (0.621)	Data 0.001 (0.007)	Loss 2.7453 (2.5385)	Prec@1 35.000 (37.960)	Prec@5 64.500 (68.748)
Epoch: [29][330/9018]	Time 0.591 (0.620)	Data 0.001 (0.007)	Loss 2.3538 (2.5386)	Prec@1 43.500 (37.946)	Prec@5 72.500 (68.763)
Epoch: [29][340/9018]	Time 0.612 (0.620)	Data 0.001 (0.007)	Loss 2.6754 (2.5399)	Prec@1 35.000 (37.902)	Prec@5 63.500 (68.745)
Epoch: [29][350/9018]	Time 0.717 (0.620)	Data 0.001 (0.007)	Loss 2.4229 (2.5399)	Prec@1 39.500 (37.897)	Prec@5 73.500 (68.761)
Epoch: [29][360/9018]	Time 0.616 (0.620)	Data 0.001 (0.007)	Loss 2.4158 (2.5412)	Prec@1 43.500 (37.896)	Prec@5 72.000 (68.699)
Epoch: [29][370/9018]	Time 0.591 (0.620)	Data 0.001 (0.007)	Loss 2.5722 (2.5381)	Prec@1 40.000 (37.939)	Prec@5 70.000 (68.755)
Epoch: [29][380/9018]	Time 0.606 (0.620)	Data 0.001 (0.006)	Loss 2.3521 (2.5349)	Prec@1 41.000 (37.996)	Prec@5 73.500 (68.841)
Epoch: [29][390/9018]	Time 0.606 (0.620)	Data 0.001 (0.006)	Loss 2.3532 (2.5322)	Prec@1 39.500 (38.037)	Prec@5 73.000 (68.905)
Epoch: [29][400/9018]	Time 0.725 (0.620)	Data 0.001 (0.006)	Loss 2.4004 (2.5325)	Prec@1 39.000 (38.041)	Prec@5 77.000 (68.905)
Epoch: [29][410/9018]	Time 0.635 (0.619)	Data 0.001 (0.006)	Loss 2.4540 (2.5323)	Prec@1 42.000 (38.010)	Prec@5 68.500 (68.932)
Epoch: [29][420/9018]	Time 0.624 (0.620)	Data 0.001 (0.006)	Loss 2.5778 (2.5319)	Prec@1 38.500 (38.053)	Prec@5 66.000 (68.931)
Epoch: [29][430/9018]	Time 0.590 (0.619)	Data 0.001 (0.006)	Loss 2.6212 (2.5318)	Prec@1 36.500 (38.056)	Prec@5 68.000 (68.934)
Epoch: [29][440/9018]	Time 0.594 (0.619)	Data 0.001 (0.006)	Loss 2.3812 (2.5323)	Prec@1 38.500 (38.008)	Prec@5 72.500 (68.902)
Epoch: [29][450/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 2.7786 (2.5331)	Prec@1 34.500 (38.010)	Prec@5 60.500 (68.881)
Epoch: [29][460/9018]	Time 0.634 (0.619)	Data 0.001 (0.005)	Loss 2.6642 (2.5347)	Prec@1 36.000 (38.029)	Prec@5 69.000 (68.867)
Epoch: [29][470/9018]	Time 0.594 (0.619)	Data 0.001 (0.005)	Loss 2.7256 (2.5358)	Prec@1 34.000 (38.006)	Prec@5 64.000 (68.834)
Epoch: [29][480/9018]	Time 0.611 (0.619)	Data 0.001 (0.005)	Loss 2.3107 (2.5341)	Prec@1 45.000 (38.024)	Prec@5 73.500 (68.863)
Epoch: [29][490/9018]	Time 0.591 (0.618)	Data 0.001 (0.005)	Loss 2.4991 (2.5341)	Prec@1 44.000 (38.040)	Prec@5 67.500 (68.845)
Epoch: [29][500/9018]	Time 0.610 (0.619)	Data 0.001 (0.005)	Loss 2.6602 (2.5345)	Prec@1 40.500 (38.052)	Prec@5 67.500 (68.840)
Epoch: [29][510/9018]	Time 0.616 (0.618)	Data 0.001 (0.005)	Loss 2.5302 (2.5345)	Prec@1 39.000 (38.060)	Prec@5 70.500 (68.863)
Epoch: [29][520/9018]	Time 0.599 (0.618)	Data 0.001 (0.005)	Loss 2.3892 (2.5350)	Prec@1 38.000 (38.030)	Prec@5 71.000 (68.849)
Epoch: [29][530/9018]	Time 0.621 (0.618)	Data 0.001 (0.005)	Loss 2.3617 (2.5357)	Prec@1 41.000 (38.010)	Prec@5 72.000 (68.845)
Epoch: [29][540/9018]	Time 0.632 (0.618)	Data 0.001 (0.005)	Loss 2.4869 (2.5346)	Prec@1 41.000 (38.030)	Prec@5 68.000 (68.867)
Epoch: [29][550/9018]	Time 0.602 (0.618)	Data 0.001 (0.005)	Loss 2.3289 (2.5342)	Prec@1 47.000 (38.054)	Prec@5 72.500 (68.871)
Epoch: [29][560/9018]	Time 0.611 (0.618)	Data 0.001 (0.005)	Loss 2.4389 (2.5344)	Prec@1 41.500 (38.038)	Prec@5 69.000 (68.871)
Epoch: [29][570/9018]	Time 0.610 (0.618)	Data 0.001 (0.004)	Loss 2.3158 (2.5344)	Prec@1 41.500 (38.031)	Prec@5 74.000 (68.874)
Epoch: [29][580/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 2.4811 (2.5333)	Prec@1 38.000 (38.064)	Prec@5 70.500 (68.884)
Epoch: [29][590/9018]	Time 0.647 (0.618)	Data 0.001 (0.004)	Loss 2.5770 (2.5337)	Prec@1 39.000 (38.059)	Prec@5 66.000 (68.891)
Epoch: [29][600/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.5921 (2.5341)	Prec@1 41.000 (38.056)	Prec@5 69.000 (68.888)
Epoch: [29][610/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.3635 (2.5341)	Prec@1 36.500 (38.044)	Prec@5 70.500 (68.881)
Epoch: [29][620/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.3308 (2.5330)	Prec@1 39.500 (38.053)	Prec@5 70.500 (68.907)
Epoch: [29][630/9018]	Time 0.617 (0.618)	Data 0.001 (0.004)	Loss 2.4213 (2.5308)	Prec@1 37.500 (38.090)	Prec@5 66.500 (68.938)
Epoch: [29][640/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 2.6768 (2.5300)	Prec@1 37.000 (38.105)	Prec@5 67.000 (68.948)
Epoch: [29][650/9018]	Time 0.627 (0.618)	Data 0.001 (0.004)	Loss 2.3724 (2.5293)	Prec@1 38.500 (38.088)	Prec@5 70.500 (68.946)
Epoch: [29][660/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.4822 (2.5293)	Prec@1 35.000 (38.076)	Prec@5 70.000 (68.955)
Epoch: [29][670/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.8131 (2.5295)	Prec@1 29.000 (38.082)	Prec@5 64.000 (68.955)
Epoch: [29][680/9018]	Time 0.740 (0.618)	Data 0.001 (0.004)	Loss 2.6301 (2.5301)	Prec@1 39.000 (38.072)	Prec@5 67.000 (68.952)
Epoch: [29][690/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 2.5935 (2.5300)	Prec@1 38.000 (38.082)	Prec@5 69.000 (68.967)
Epoch: [29][700/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.4412 (2.5298)	Prec@1 39.500 (38.090)	Prec@5 71.000 (68.975)
Epoch: [29][710/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.2512 (2.5294)	Prec@1 42.500 (38.089)	Prec@5 75.000 (68.987)
Epoch: [29][720/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.3474 (2.5297)	Prec@1 43.500 (38.098)	Prec@5 73.500 (68.985)
Epoch: [29][730/9018]	Time 0.743 (0.617)	Data 0.001 (0.004)	Loss 2.9311 (2.5301)	Prec@1 32.500 (38.065)	Prec@5 59.500 (68.970)
Epoch: [29][740/9018]	Time 0.632 (0.617)	Data 0.001 (0.004)	Loss 2.5992 (2.5304)	Prec@1 34.000 (38.053)	Prec@5 64.500 (68.962)
Epoch: [29][750/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.4682 (2.5296)	Prec@1 45.000 (38.079)	Prec@5 68.000 (68.977)
Epoch: [29][760/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.4326 (2.5297)	Prec@1 45.000 (38.081)	Prec@5 69.500 (68.977)
Epoch: [29][770/9018]	Time 0.606 (0.617)	Data 0.001 (0.004)	Loss 2.5657 (2.5311)	Prec@1 32.500 (38.048)	Prec@5 71.500 (68.953)
Epoch: [29][780/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.6159 (2.5324)	Prec@1 38.500 (38.033)	Prec@5 67.000 (68.926)
Epoch: [29][790/9018]	Time 0.647 (0.617)	Data 0.001 (0.003)	Loss 2.5132 (2.5320)	Prec@1 39.000 (38.051)	Prec@5 67.000 (68.931)
Epoch: [29][800/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.6328 (2.5316)	Prec@1 31.000 (38.052)	Prec@5 69.500 (68.962)
Epoch: [29][810/9018]	Time 0.590 (0.617)	Data 0.001 (0.003)	Loss 2.5749 (2.5321)	Prec@1 39.500 (38.038)	Prec@5 62.000 (68.944)
Epoch: [29][820/9018]	Time 0.626 (0.617)	Data 0.001 (0.003)	Loss 2.5157 (2.5317)	Prec@1 37.500 (38.048)	Prec@5 68.000 (68.949)
Epoch: [29][830/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.6352 (2.5314)	Prec@1 35.500 (38.046)	Prec@5 65.500 (68.960)
Epoch: [29][840/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 2.7256 (2.5315)	Prec@1 38.500 (38.070)	Prec@5 65.500 (68.954)
Epoch: [29][850/9018]	Time 0.592 (0.617)	Data 0.001 (0.003)	Loss 2.5246 (2.5319)	Prec@1 44.000 (38.074)	Prec@5 66.500 (68.941)
Epoch: [29][860/9018]	Time 0.612 (0.617)	Data 0.001 (0.003)	Loss 2.4449 (2.5319)	Prec@1 42.000 (38.064)	Prec@5 71.500 (68.933)
Epoch: [29][870/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.5205 (2.5315)	Prec@1 34.500 (38.061)	Prec@5 68.500 (68.934)
Epoch: [29][880/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.5262 (2.5313)	Prec@1 37.000 (38.059)	Prec@5 66.500 (68.928)
Epoch: [29][890/9018]	Time 0.620 (0.617)	Data 0.001 (0.003)	Loss 2.3090 (2.5310)	Prec@1 39.500 (38.065)	Prec@5 75.000 (68.932)
Epoch: [29][900/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.6412 (2.5307)	Prec@1 31.500 (38.063)	Prec@5 68.500 (68.936)
Epoch: [29][910/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.3715 (2.5298)	Prec@1 39.000 (38.070)	Prec@5 76.000 (68.951)
Epoch: [29][920/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 2.6547 (2.5300)	Prec@1 34.000 (38.073)	Prec@5 67.000 (68.948)
Epoch: [29][930/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 2.5513 (2.5310)	Prec@1 35.000 (38.049)	Prec@5 69.000 (68.937)
Epoch: [29][940/9018]	Time 0.617 (0.617)	Data 0.001 (0.003)	Loss 2.3620 (2.5304)	Prec@1 40.000 (38.053)	Prec@5 74.000 (68.956)
Epoch: [29][950/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.3473 (2.5301)	Prec@1 40.500 (38.043)	Prec@5 73.000 (68.954)
Epoch: [29][960/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 2.8082 (2.5310)	Prec@1 29.000 (38.011)	Prec@5 64.500 (68.948)
Epoch: [29][970/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.3140 (2.5317)	Prec@1 45.000 (37.997)	Prec@5 74.500 (68.945)
Epoch: [29][980/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.5489 (2.5329)	Prec@1 35.500 (37.982)	Prec@5 71.000 (68.923)
Epoch: [29][990/9018]	Time 0.626 (0.616)	Data 0.001 (0.003)	Loss 2.4370 (2.5329)	Prec@1 38.500 (37.980)	Prec@5 71.000 (68.911)
Epoch: [29][1000/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.4296 (2.5329)	Prec@1 36.500 (37.978)	Prec@5 69.500 (68.908)
Epoch: [29][1010/9018]	Time 0.726 (0.616)	Data 0.001 (0.003)	Loss 2.4836 (2.5330)	Prec@1 36.500 (37.982)	Prec@5 70.000 (68.895)
Epoch: [29][1020/9018]	Time 0.627 (0.616)	Data 0.001 (0.003)	Loss 2.7505 (2.5331)	Prec@1 36.000 (37.987)	Prec@5 68.000 (68.902)
Epoch: [29][1030/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.4444 (2.5331)	Prec@1 39.500 (37.994)	Prec@5 69.000 (68.903)
Epoch: [29][1040/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 2.4114 (2.5331)	Prec@1 38.500 (37.997)	Prec@5 71.500 (68.903)
Epoch: [29][1050/9018]	Time 0.589 (0.616)	Data 0.001 (0.003)	Loss 2.2407 (2.5322)	Prec@1 42.500 (38.006)	Prec@5 72.500 (68.913)
Epoch: [29][1060/9018]	Time 0.723 (0.616)	Data 0.001 (0.003)	Loss 2.5151 (2.5322)	Prec@1 42.500 (38.002)	Prec@5 68.000 (68.921)
Epoch: [29][1070/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.6259 (2.5332)	Prec@1 32.000 (37.978)	Prec@5 66.000 (68.908)
Epoch: [29][1080/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.6421 (2.5335)	Prec@1 32.500 (37.972)	Prec@5 65.500 (68.895)
Epoch: [29][1090/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.5449 (2.5330)	Prec@1 37.500 (37.984)	Prec@5 69.500 (68.912)
Epoch: [29][1100/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.5730 (2.5330)	Prec@1 40.500 (37.989)	Prec@5 72.500 (68.913)
Epoch: [29][1110/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.4692 (2.5327)	Prec@1 40.500 (38.000)	Prec@5 68.000 (68.917)
Epoch: [29][1120/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.4055 (2.5331)	Prec@1 41.500 (37.996)	Prec@5 72.500 (68.910)
Epoch: [29][1130/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.7931 (2.5338)	Prec@1 31.000 (37.971)	Prec@5 63.500 (68.903)
Epoch: [29][1140/9018]	Time 0.624 (0.616)	Data 0.001 (0.003)	Loss 2.6108 (2.5341)	Prec@1 36.500 (37.968)	Prec@5 66.000 (68.893)
Epoch: [29][1150/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.5266 (2.5336)	Prec@1 38.500 (37.974)	Prec@5 67.500 (68.911)
Epoch: [29][1160/9018]	Time 0.614 (0.616)	Data 0.001 (0.003)	Loss 2.6787 (2.5337)	Prec@1 39.000 (37.971)	Prec@5 60.500 (68.904)
Epoch: [29][1170/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 2.7793 (2.5336)	Prec@1 36.000 (37.982)	Prec@5 62.000 (68.908)
Epoch: [29][1180/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.6847 (2.5338)	Prec@1 31.000 (37.983)	Prec@5 66.000 (68.903)
Epoch: [29][1190/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 2.5660 (2.5341)	Prec@1 35.000 (37.974)	Prec@5 68.500 (68.898)
Epoch: [29][1200/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.7056 (2.5340)	Prec@1 37.500 (37.965)	Prec@5 65.500 (68.908)
Epoch: [29][1210/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.5105 (2.5339)	Prec@1 40.000 (37.963)	Prec@5 69.000 (68.917)
Epoch: [29][1220/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 2.6743 (2.5335)	Prec@1 34.500 (37.974)	Prec@5 66.500 (68.925)
Epoch: [29][1230/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.4771 (2.5335)	Prec@1 38.000 (37.981)	Prec@5 69.000 (68.923)
Epoch: [29][1240/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.3746 (2.5330)	Prec@1 38.500 (37.976)	Prec@5 72.000 (68.934)
Epoch: [29][1250/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.2444 (2.5331)	Prec@1 45.500 (37.976)	Prec@5 75.000 (68.933)
Epoch: [29][1260/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5513 (2.5335)	Prec@1 35.000 (37.964)	Prec@5 67.000 (68.920)
Epoch: [29][1270/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.6035 (2.5338)	Prec@1 38.500 (37.954)	Prec@5 67.500 (68.918)
Epoch: [29][1280/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5690 (2.5338)	Prec@1 37.500 (37.953)	Prec@5 68.500 (68.923)
Epoch: [29][1290/9018]	Time 0.637 (0.616)	Data 0.001 (0.002)	Loss 2.5495 (2.5335)	Prec@1 35.000 (37.957)	Prec@5 65.500 (68.923)
Epoch: [29][1300/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6528 (2.5337)	Prec@1 34.500 (37.960)	Prec@5 66.500 (68.918)
Epoch: [29][1310/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.6564 (2.5341)	Prec@1 35.500 (37.956)	Prec@5 61.500 (68.903)
Epoch: [29][1320/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4312 (2.5344)	Prec@1 40.000 (37.948)	Prec@5 70.000 (68.907)
Epoch: [29][1330/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.5057 (2.5341)	Prec@1 36.500 (37.956)	Prec@5 69.500 (68.917)
Epoch: [29][1340/9018]	Time 0.704 (0.616)	Data 0.001 (0.002)	Loss 2.3037 (2.5342)	Prec@1 44.000 (37.955)	Prec@5 72.500 (68.915)
Epoch: [29][1350/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.5827 (2.5343)	Prec@1 36.500 (37.956)	Prec@5 68.500 (68.922)
Epoch: [29][1360/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.5974 (2.5348)	Prec@1 37.000 (37.945)	Prec@5 65.000 (68.914)
Epoch: [29][1370/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.5838 (2.5348)	Prec@1 36.000 (37.935)	Prec@5 66.500 (68.916)
Epoch: [29][1380/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.7232 (2.5352)	Prec@1 36.500 (37.927)	Prec@5 69.000 (68.916)
Epoch: [29][1390/9018]	Time 0.757 (0.616)	Data 0.001 (0.002)	Loss 2.4842 (2.5351)	Prec@1 40.500 (37.932)	Prec@5 68.500 (68.921)
Epoch: [29][1400/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.8163 (2.5355)	Prec@1 34.500 (37.928)	Prec@5 62.500 (68.905)
Epoch: [29][1410/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.5532 (2.5356)	Prec@1 40.000 (37.923)	Prec@5 66.500 (68.904)
Epoch: [29][1420/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.4858 (2.5361)	Prec@1 41.000 (37.913)	Prec@5 70.500 (68.899)
Epoch: [29][1430/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.5008 (2.5362)	Prec@1 37.500 (37.906)	Prec@5 72.500 (68.898)
Epoch: [29][1440/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.5785 (2.5366)	Prec@1 38.000 (37.897)	Prec@5 70.000 (68.884)
Epoch: [29][1450/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.8475 (2.5367)	Prec@1 32.000 (37.893)	Prec@5 64.000 (68.882)
Epoch: [29][1460/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.6507 (2.5369)	Prec@1 38.500 (37.889)	Prec@5 67.500 (68.874)
Epoch: [29][1470/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.6351 (2.5370)	Prec@1 35.000 (37.883)	Prec@5 67.500 (68.876)
Epoch: [29][1480/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.4604 (2.5372)	Prec@1 40.000 (37.873)	Prec@5 70.000 (68.873)
Epoch: [29][1490/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.3972 (2.5368)	Prec@1 35.000 (37.877)	Prec@5 72.500 (68.886)
Epoch: [29][1500/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.3679 (2.5366)	Prec@1 44.500 (37.878)	Prec@5 70.000 (68.890)
Epoch: [29][1510/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.6635 (2.5366)	Prec@1 36.500 (37.889)	Prec@5 62.500 (68.887)
Epoch: [29][1520/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.4753 (2.5366)	Prec@1 37.500 (37.890)	Prec@5 67.500 (68.890)
Epoch: [29][1530/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6037 (2.5364)	Prec@1 38.000 (37.893)	Prec@5 67.000 (68.895)
Epoch: [29][1540/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.5181 (2.5364)	Prec@1 37.000 (37.897)	Prec@5 66.000 (68.888)
Epoch: [29][1550/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.5133 (2.5365)	Prec@1 43.000 (37.901)	Prec@5 71.000 (68.885)
Epoch: [29][1560/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.6110 (2.5360)	Prec@1 35.500 (37.908)	Prec@5 67.000 (68.887)
Epoch: [29][1570/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.5317 (2.5359)	Prec@1 39.000 (37.906)	Prec@5 71.000 (68.895)
Epoch: [29][1580/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6277 (2.5356)	Prec@1 37.000 (37.905)	Prec@5 65.000 (68.899)
Epoch: [29][1590/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.5952 (2.5354)	Prec@1 38.500 (37.903)	Prec@5 66.500 (68.904)
Epoch: [29][1600/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.7284 (2.5356)	Prec@1 36.500 (37.900)	Prec@5 65.500 (68.898)
Epoch: [29][1610/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4108 (2.5357)	Prec@1 41.000 (37.901)	Prec@5 73.500 (68.890)
Epoch: [29][1620/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.6431 (2.5356)	Prec@1 36.500 (37.905)	Prec@5 68.500 (68.892)
Epoch: [29][1630/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.6671 (2.5351)	Prec@1 37.000 (37.916)	Prec@5 67.000 (68.901)
Epoch: [29][1640/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.4759 (2.5349)	Prec@1 37.500 (37.920)	Prec@5 71.000 (68.902)
Epoch: [29][1650/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.6970 (2.5347)	Prec@1 38.000 (37.922)	Prec@5 66.000 (68.909)
Epoch: [29][1660/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.6136 (2.5343)	Prec@1 34.000 (37.933)	Prec@5 67.000 (68.923)
Epoch: [29][1670/9018]	Time 0.720 (0.616)	Data 0.001 (0.002)	Loss 2.4179 (2.5342)	Prec@1 39.000 (37.933)	Prec@5 75.000 (68.937)
Epoch: [29][1680/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.4165 (2.5342)	Prec@1 38.000 (37.930)	Prec@5 72.500 (68.943)
Epoch: [29][1690/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5430 (2.5342)	Prec@1 36.500 (37.933)	Prec@5 67.500 (68.938)
Epoch: [29][1700/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.6276 (2.5347)	Prec@1 36.000 (37.921)	Prec@5 69.500 (68.932)
Epoch: [29][1710/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.7835 (2.5351)	Prec@1 32.500 (37.915)	Prec@5 63.500 (68.919)
Epoch: [29][1720/9018]	Time 0.743 (0.616)	Data 0.001 (0.002)	Loss 2.6058 (2.5355)	Prec@1 35.500 (37.904)	Prec@5 68.500 (68.913)
Epoch: [29][1730/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.4189 (2.5358)	Prec@1 38.500 (37.905)	Prec@5 72.000 (68.908)
Epoch: [29][1740/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.4598 (2.5359)	Prec@1 40.000 (37.897)	Prec@5 71.500 (68.911)
Epoch: [29][1750/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.4203 (2.5360)	Prec@1 41.000 (37.899)	Prec@5 71.500 (68.904)
Epoch: [29][1760/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.4082 (2.5362)	Prec@1 36.500 (37.891)	Prec@5 73.500 (68.906)
Epoch: [29][1770/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.6343 (2.5365)	Prec@1 35.000 (37.884)	Prec@5 66.500 (68.900)
Epoch: [29][1780/9018]	Time 0.650 (0.616)	Data 0.001 (0.002)	Loss 2.6809 (2.5363)	Prec@1 35.000 (37.885)	Prec@5 65.000 (68.906)
Epoch: [29][1790/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.5022 (2.5361)	Prec@1 36.000 (37.890)	Prec@5 66.500 (68.904)
Epoch: [29][1800/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.6602 (2.5364)	Prec@1 36.500 (37.879)	Prec@5 64.000 (68.893)
Epoch: [29][1810/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.6486 (2.5366)	Prec@1 37.500 (37.877)	Prec@5 68.500 (68.890)
Epoch: [29][1820/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.4473 (2.5362)	Prec@1 37.500 (37.883)	Prec@5 74.500 (68.901)
Epoch: [29][1830/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.3232 (2.5361)	Prec@1 41.500 (37.885)	Prec@5 73.500 (68.908)
Epoch: [29][1840/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.6351 (2.5364)	Prec@1 38.500 (37.881)	Prec@5 68.500 (68.901)
Epoch: [29][1850/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4709 (2.5367)	Prec@1 40.500 (37.878)	Prec@5 70.500 (68.897)
Epoch: [29][1860/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.4588 (2.5365)	Prec@1 39.000 (37.882)	Prec@5 72.500 (68.900)
Epoch: [29][1870/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.6783 (2.5363)	Prec@1 35.500 (37.889)	Prec@5 65.000 (68.902)
Epoch: [29][1880/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.3865 (2.5364)	Prec@1 40.500 (37.892)	Prec@5 71.500 (68.900)
Epoch: [29][1890/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.5181 (2.5365)	Prec@1 40.000 (37.897)	Prec@5 73.500 (68.897)
Epoch: [29][1900/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.7154 (2.5362)	Prec@1 36.500 (37.911)	Prec@5 63.500 (68.904)
Epoch: [29][1910/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.6295 (2.5364)	Prec@1 38.000 (37.907)	Prec@5 67.500 (68.898)
Epoch: [29][1920/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.6061 (2.5361)	Prec@1 35.000 (37.914)	Prec@5 66.500 (68.906)
Epoch: [29][1930/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6130 (2.5363)	Prec@1 35.500 (37.912)	Prec@5 69.500 (68.902)
Epoch: [29][1940/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.5130 (2.5365)	Prec@1 37.500 (37.909)	Prec@5 67.500 (68.899)
Epoch: [29][1950/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.8622 (2.5367)	Prec@1 32.500 (37.906)	Prec@5 61.500 (68.896)
Epoch: [29][1960/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.4618 (2.5366)	Prec@1 41.000 (37.909)	Prec@5 69.500 (68.896)
Epoch: [29][1970/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.6071 (2.5366)	Prec@1 37.000 (37.912)	Prec@5 69.000 (68.897)
Epoch: [29][1980/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.6530 (2.5367)	Prec@1 35.500 (37.909)	Prec@5 65.500 (68.899)
Epoch: [29][1990/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5363 (2.5368)	Prec@1 41.000 (37.906)	Prec@5 71.500 (68.893)
Epoch: [29][2000/9018]	Time 0.743 (0.615)	Data 0.001 (0.002)	Loss 2.8344 (2.5367)	Prec@1 32.500 (37.907)	Prec@5 63.500 (68.897)
Epoch: [29][2010/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.1587 (2.5366)	Prec@1 42.500 (37.909)	Prec@5 76.000 (68.899)
Epoch: [29][2020/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.6062 (2.5362)	Prec@1 36.500 (37.915)	Prec@5 69.000 (68.904)
Epoch: [29][2030/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.5441 (2.5364)	Prec@1 38.000 (37.918)	Prec@5 67.500 (68.901)
Epoch: [29][2040/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.7200 (2.5368)	Prec@1 34.000 (37.915)	Prec@5 67.000 (68.892)
Epoch: [29][2050/9018]	Time 0.747 (0.615)	Data 0.001 (0.002)	Loss 2.5494 (2.5370)	Prec@1 39.000 (37.911)	Prec@5 70.000 (68.885)
Epoch: [29][2060/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.5963 (2.5371)	Prec@1 38.500 (37.913)	Prec@5 73.500 (68.884)
Epoch: [29][2070/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6500 (2.5373)	Prec@1 33.500 (37.910)	Prec@5 69.000 (68.884)
Epoch: [29][2080/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.6847 (2.5375)	Prec@1 37.500 (37.903)	Prec@5 65.500 (68.873)
Epoch: [29][2090/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.6293 (2.5376)	Prec@1 35.000 (37.902)	Prec@5 67.500 (68.868)
Epoch: [29][2100/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4806 (2.5373)	Prec@1 44.500 (37.909)	Prec@5 71.000 (68.873)
Epoch: [29][2110/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.3314 (2.5372)	Prec@1 43.500 (37.907)	Prec@5 74.000 (68.871)
Epoch: [29][2120/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.4148 (2.5368)	Prec@1 44.000 (37.913)	Prec@5 74.000 (68.881)
Epoch: [29][2130/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.8656 (2.5369)	Prec@1 30.500 (37.910)	Prec@5 64.000 (68.879)
Epoch: [29][2140/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4809 (2.5372)	Prec@1 39.000 (37.912)	Prec@5 66.000 (68.874)
Epoch: [29][2150/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.3379 (2.5372)	Prec@1 44.500 (37.913)	Prec@5 74.500 (68.870)
Epoch: [29][2160/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.4843 (2.5374)	Prec@1 36.000 (37.916)	Prec@5 67.000 (68.865)
Epoch: [29][2170/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.4297 (2.5373)	Prec@1 44.000 (37.917)	Prec@5 71.500 (68.867)
Epoch: [29][2180/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.6628 (2.5372)	Prec@1 34.000 (37.914)	Prec@5 70.000 (68.869)
Epoch: [29][2190/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.4999 (2.5373)	Prec@1 40.000 (37.913)	Prec@5 70.500 (68.868)
Epoch: [29][2200/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.4921 (2.5373)	Prec@1 37.500 (37.911)	Prec@5 69.500 (68.864)
Epoch: [29][2210/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.5616 (2.5374)	Prec@1 37.500 (37.904)	Prec@5 66.500 (68.862)
Epoch: [29][2220/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5108 (2.5374)	Prec@1 32.500 (37.905)	Prec@5 70.000 (68.861)
Epoch: [29][2230/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.4608 (2.5374)	Prec@1 42.000 (37.903)	Prec@5 70.000 (68.863)
Epoch: [29][2240/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.6664 (2.5377)	Prec@1 36.000 (37.898)	Prec@5 66.000 (68.855)
Epoch: [29][2250/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5788 (2.5376)	Prec@1 33.500 (37.902)	Prec@5 67.500 (68.857)
Epoch: [29][2260/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.4918 (2.5376)	Prec@1 37.000 (37.904)	Prec@5 70.000 (68.861)
Epoch: [29][2270/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4171 (2.5370)	Prec@1 41.000 (37.913)	Prec@5 72.000 (68.868)
Epoch: [29][2280/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.8635 (2.5370)	Prec@1 32.000 (37.912)	Prec@5 60.000 (68.868)
Epoch: [29][2290/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.5719 (2.5369)	Prec@1 38.500 (37.917)	Prec@5 71.000 (68.863)
Epoch: [29][2300/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.7156 (2.5371)	Prec@1 36.500 (37.914)	Prec@5 62.500 (68.857)
Epoch: [29][2310/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 2.6331 (2.5370)	Prec@1 43.500 (37.920)	Prec@5 64.500 (68.863)
Epoch: [29][2320/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.5389 (2.5369)	Prec@1 37.500 (37.925)	Prec@5 67.000 (68.862)
Epoch: [29][2330/9018]	Time 0.705 (0.615)	Data 0.001 (0.002)	Loss 2.7027 (2.5368)	Prec@1 30.500 (37.924)	Prec@5 68.000 (68.866)
Epoch: [29][2340/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.3073 (2.5365)	Prec@1 41.500 (37.934)	Prec@5 73.000 (68.877)
Epoch: [29][2350/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5727 (2.5365)	Prec@1 35.500 (37.933)	Prec@5 68.500 (68.878)
Epoch: [29][2360/9018]	Time 0.639 (0.615)	Data 0.001 (0.002)	Loss 2.7046 (2.5366)	Prec@1 36.000 (37.931)	Prec@5 63.500 (68.874)
Epoch: [29][2370/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.8215 (2.5367)	Prec@1 33.000 (37.933)	Prec@5 64.500 (68.872)
Epoch: [29][2380/9018]	Time 0.729 (0.615)	Data 0.001 (0.002)	Loss 2.6930 (2.5368)	Prec@1 38.500 (37.934)	Prec@5 67.000 (68.867)
Epoch: [29][2390/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.3871 (2.5366)	Prec@1 39.500 (37.934)	Prec@5 71.000 (68.866)
Epoch: [29][2400/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.4440 (2.5366)	Prec@1 42.000 (37.933)	Prec@5 71.500 (68.867)
Epoch: [29][2410/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.4659 (2.5365)	Prec@1 41.500 (37.937)	Prec@5 72.500 (68.871)
Epoch: [29][2420/9018]	Time 0.639 (0.615)	Data 0.001 (0.002)	Loss 2.4903 (2.5364)	Prec@1 41.000 (37.934)	Prec@5 68.500 (68.870)
Epoch: [29][2430/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.4790 (2.5362)	Prec@1 37.000 (37.943)	Prec@5 66.500 (68.873)
Epoch: [29][2440/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.5279 (2.5364)	Prec@1 36.500 (37.939)	Prec@5 67.000 (68.867)
Epoch: [29][2450/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.2865 (2.5365)	Prec@1 39.500 (37.937)	Prec@5 76.000 (68.859)
Epoch: [29][2460/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.3883 (2.5366)	Prec@1 40.500 (37.938)	Prec@5 76.000 (68.857)
Epoch: [29][2470/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6514 (2.5365)	Prec@1 35.500 (37.941)	Prec@5 66.500 (68.852)
Epoch: [29][2480/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.7965 (2.5368)	Prec@1 38.000 (37.944)	Prec@5 63.500 (68.849)
Epoch: [29][2490/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.8304 (2.5372)	Prec@1 33.000 (37.930)	Prec@5 63.000 (68.842)
Epoch: [29][2500/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.5646 (2.5373)	Prec@1 38.500 (37.932)	Prec@5 67.000 (68.842)
Epoch: [29][2510/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.4691 (2.5375)	Prec@1 36.500 (37.921)	Prec@5 68.500 (68.834)
Epoch: [29][2520/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.3559 (2.5372)	Prec@1 42.000 (37.931)	Prec@5 75.000 (68.842)
Epoch: [29][2530/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.5071 (2.5373)	Prec@1 36.500 (37.930)	Prec@5 68.000 (68.838)
Epoch: [29][2540/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5246 (2.5375)	Prec@1 41.000 (37.927)	Prec@5 71.000 (68.841)
Epoch: [29][2550/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.4224 (2.5375)	Prec@1 37.500 (37.929)	Prec@5 73.000 (68.845)
Epoch: [29][2560/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.4802 (2.5376)	Prec@1 38.000 (37.927)	Prec@5 68.000 (68.848)
Epoch: [29][2570/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.6884 (2.5376)	Prec@1 36.500 (37.929)	Prec@5 65.000 (68.847)
Epoch: [29][2580/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.8694 (2.5378)	Prec@1 32.000 (37.923)	Prec@5 64.000 (68.845)
Epoch: [29][2590/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.4348 (2.5379)	Prec@1 37.500 (37.917)	Prec@5 72.000 (68.841)
Epoch: [29][2600/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.4337 (2.5380)	Prec@1 37.000 (37.912)	Prec@5 70.000 (68.838)
Epoch: [29][2610/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.3434 (2.5379)	Prec@1 40.500 (37.914)	Prec@5 72.500 (68.839)
Epoch: [29][2620/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.7553 (2.5382)	Prec@1 31.500 (37.911)	Prec@5 65.000 (68.833)
Epoch: [29][2630/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.3323 (2.5380)	Prec@1 43.000 (37.918)	Prec@5 77.000 (68.839)
Epoch: [29][2640/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.4603 (2.5379)	Prec@1 39.000 (37.920)	Prec@5 69.000 (68.842)
Epoch: [29][2650/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5819 (2.5378)	Prec@1 39.000 (37.925)	Prec@5 67.500 (68.839)
Epoch: [29][2660/9018]	Time 0.744 (0.615)	Data 0.001 (0.002)	Loss 2.6177 (2.5376)	Prec@1 35.000 (37.927)	Prec@5 65.500 (68.843)
Epoch: [29][2670/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.7318 (2.5378)	Prec@1 36.500 (37.925)	Prec@5 64.500 (68.835)
Epoch: [29][2680/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5739 (2.5382)	Prec@1 35.000 (37.919)	Prec@5 68.500 (68.828)
Epoch: [29][2690/9018]	Time 0.637 (0.615)	Data 0.001 (0.002)	Loss 2.5043 (2.5383)	Prec@1 38.000 (37.919)	Prec@5 69.500 (68.826)
Epoch: [29][2700/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.3611 (2.5382)	Prec@1 42.500 (37.923)	Prec@5 71.000 (68.828)
Epoch: [29][2710/9018]	Time 0.728 (0.615)	Data 0.001 (0.002)	Loss 2.5144 (2.5379)	Prec@1 40.000 (37.933)	Prec@5 67.000 (68.834)
Epoch: [29][2720/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.5859 (2.5383)	Prec@1 40.000 (37.930)	Prec@5 67.000 (68.824)
Epoch: [29][2730/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5677 (2.5382)	Prec@1 37.000 (37.931)	Prec@5 71.000 (68.830)
Epoch: [29][2740/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.3878 (2.5383)	Prec@1 41.500 (37.922)	Prec@5 73.000 (68.828)
Epoch: [29][2750/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4210 (2.5384)	Prec@1 37.500 (37.923)	Prec@5 71.500 (68.826)
Epoch: [29][2760/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 2.4455 (2.5382)	Prec@1 40.500 (37.930)	Prec@5 71.500 (68.832)
Epoch: [29][2770/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.5874 (2.5384)	Prec@1 37.500 (37.925)	Prec@5 62.500 (68.823)
Epoch: [29][2780/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.5347 (2.5383)	Prec@1 41.000 (37.926)	Prec@5 65.500 (68.823)
Epoch: [29][2790/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.5138 (2.5384)	Prec@1 41.000 (37.927)	Prec@5 69.500 (68.817)
Epoch: [29][2800/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.4542 (2.5382)	Prec@1 40.500 (37.930)	Prec@5 68.000 (68.821)
Epoch: [29][2810/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.6516 (2.5383)	Prec@1 34.500 (37.924)	Prec@5 66.500 (68.821)
Epoch: [29][2820/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.4449 (2.5383)	Prec@1 41.500 (37.924)	Prec@5 72.500 (68.819)
Epoch: [29][2830/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.3850 (2.5384)	Prec@1 39.000 (37.925)	Prec@5 71.000 (68.814)
Epoch: [29][2840/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.4215 (2.5384)	Prec@1 39.000 (37.922)	Prec@5 71.000 (68.812)
Epoch: [29][2850/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.4579 (2.5384)	Prec@1 36.000 (37.919)	Prec@5 70.500 (68.811)
Epoch: [29][2860/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5616 (2.5381)	Prec@1 40.500 (37.925)	Prec@5 67.000 (68.815)
Epoch: [29][2870/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.5255 (2.5380)	Prec@1 36.000 (37.926)	Prec@5 68.000 (68.816)
Epoch: [29][2880/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.4059 (2.5378)	Prec@1 42.000 (37.933)	Prec@5 70.500 (68.824)
Epoch: [29][2890/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.4487 (2.5377)	Prec@1 39.000 (37.935)	Prec@5 69.000 (68.822)
Epoch: [29][2900/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.4618 (2.5376)	Prec@1 39.500 (37.934)	Prec@5 70.000 (68.823)
Epoch: [29][2910/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.7466 (2.5378)	Prec@1 33.500 (37.930)	Prec@5 69.000 (68.821)
Epoch: [29][2920/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4442 (2.5378)	Prec@1 44.500 (37.933)	Prec@5 70.500 (68.822)
Epoch: [29][2930/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.6174 (2.5382)	Prec@1 35.000 (37.929)	Prec@5 64.000 (68.816)
Epoch: [29][2940/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.6677 (2.5382)	Prec@1 36.000 (37.922)	Prec@5 64.000 (68.814)
Epoch: [29][2950/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5193 (2.5381)	Prec@1 36.500 (37.926)	Prec@5 71.000 (68.819)
Epoch: [29][2960/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3962 (2.5382)	Prec@1 43.000 (37.925)	Prec@5 69.500 (68.816)
Epoch: [29][2970/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.6396 (2.5383)	Prec@1 32.000 (37.918)	Prec@5 64.000 (68.813)
Epoch: [29][2980/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6806 (2.5384)	Prec@1 35.500 (37.912)	Prec@5 69.000 (68.810)
Epoch: [29][2990/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.4070 (2.5383)	Prec@1 38.000 (37.915)	Prec@5 72.500 (68.813)
Epoch: [29][3000/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4704 (2.5383)	Prec@1 38.500 (37.910)	Prec@5 71.500 (68.815)
Epoch: [29][3010/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6272 (2.5384)	Prec@1 36.500 (37.909)	Prec@5 70.500 (68.811)
Epoch: [29][3020/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.4237 (2.5383)	Prec@1 38.500 (37.911)	Prec@5 72.000 (68.811)
Epoch: [29][3030/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5389 (2.5383)	Prec@1 40.500 (37.914)	Prec@5 68.500 (68.809)
Epoch: [29][3040/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.5175 (2.5385)	Prec@1 41.500 (37.911)	Prec@5 68.500 (68.808)
Epoch: [29][3050/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3396 (2.5386)	Prec@1 39.500 (37.909)	Prec@5 72.500 (68.808)
Epoch: [29][3060/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4322 (2.5385)	Prec@1 38.000 (37.913)	Prec@5 71.000 (68.811)
Epoch: [29][3070/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3827 (2.5385)	Prec@1 43.500 (37.916)	Prec@5 72.500 (68.817)
Epoch: [29][3080/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5061 (2.5384)	Prec@1 38.500 (37.921)	Prec@5 69.500 (68.822)
Epoch: [29][3090/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5128 (2.5384)	Prec@1 37.500 (37.923)	Prec@5 70.000 (68.822)
Epoch: [29][3100/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5585 (2.5385)	Prec@1 40.500 (37.921)	Prec@5 70.500 (68.822)
Epoch: [29][3110/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.2189 (2.5384)	Prec@1 43.500 (37.921)	Prec@5 71.500 (68.827)
Epoch: [29][3120/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4738 (2.5383)	Prec@1 37.000 (37.923)	Prec@5 67.000 (68.823)
Epoch: [29][3130/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5414 (2.5383)	Prec@1 37.500 (37.920)	Prec@5 68.500 (68.823)
Epoch: [29][3140/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4010 (2.5383)	Prec@1 40.000 (37.920)	Prec@5 72.000 (68.820)
Epoch: [29][3150/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8011 (2.5382)	Prec@1 32.000 (37.921)	Prec@5 65.000 (68.823)
Epoch: [29][3160/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5925 (2.5383)	Prec@1 41.000 (37.922)	Prec@5 62.500 (68.818)
Epoch: [29][3170/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5369 (2.5382)	Prec@1 39.000 (37.926)	Prec@5 67.000 (68.820)
Epoch: [29][3180/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6410 (2.5381)	Prec@1 35.000 (37.926)	Prec@5 66.500 (68.821)
Epoch: [29][3190/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6150 (2.5380)	Prec@1 39.000 (37.929)	Prec@5 68.000 (68.823)
Epoch: [29][3200/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4037 (2.5381)	Prec@1 40.500 (37.928)	Prec@5 68.000 (68.818)
Epoch: [29][3210/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4351 (2.5381)	Prec@1 40.500 (37.926)	Prec@5 69.500 (68.820)
Epoch: [29][3220/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5641 (2.5381)	Prec@1 38.000 (37.928)	Prec@5 69.000 (68.821)
Epoch: [29][3230/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5531 (2.5380)	Prec@1 36.000 (37.927)	Prec@5 67.500 (68.820)
Epoch: [29][3240/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5845 (2.5381)	Prec@1 40.000 (37.926)	Prec@5 69.000 (68.817)
Epoch: [29][3250/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6036 (2.5380)	Prec@1 37.500 (37.926)	Prec@5 65.500 (68.817)
Epoch: [29][3260/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4877 (2.5379)	Prec@1 42.000 (37.931)	Prec@5 71.500 (68.820)
Epoch: [29][3270/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.3580 (2.5375)	Prec@1 40.500 (37.942)	Prec@5 72.000 (68.827)
Epoch: [29][3280/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5164 (2.5377)	Prec@1 38.500 (37.940)	Prec@5 71.500 (68.821)
Epoch: [29][3290/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5187 (2.5377)	Prec@1 38.500 (37.940)	Prec@5 70.000 (68.820)
Epoch: [29][3300/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.3142 (2.5376)	Prec@1 42.500 (37.941)	Prec@5 71.000 (68.822)
Epoch: [29][3310/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6196 (2.5375)	Prec@1 39.500 (37.944)	Prec@5 67.500 (68.821)
Epoch: [29][3320/9018]	Time 0.758 (0.615)	Data 0.001 (0.001)	Loss 2.7152 (2.5377)	Prec@1 35.000 (37.944)	Prec@5 65.000 (68.817)
Epoch: [29][3330/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5502 (2.5373)	Prec@1 37.500 (37.947)	Prec@5 67.000 (68.825)
Epoch: [29][3340/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5643 (2.5374)	Prec@1 37.500 (37.949)	Prec@5 66.500 (68.826)
Epoch: [29][3350/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6313 (2.5375)	Prec@1 36.000 (37.947)	Prec@5 66.500 (68.827)
Epoch: [29][3360/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5918 (2.5372)	Prec@1 36.500 (37.956)	Prec@5 70.000 (68.832)
Epoch: [29][3370/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.4567 (2.5372)	Prec@1 34.500 (37.956)	Prec@5 69.000 (68.834)
Epoch: [29][3380/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5748 (2.5374)	Prec@1 34.500 (37.952)	Prec@5 64.000 (68.832)
Epoch: [29][3390/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4116 (2.5372)	Prec@1 43.000 (37.952)	Prec@5 70.000 (68.837)
Epoch: [29][3400/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5195 (2.5373)	Prec@1 40.500 (37.954)	Prec@5 67.500 (68.835)
Epoch: [29][3410/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5225 (2.5372)	Prec@1 36.500 (37.955)	Prec@5 67.500 (68.837)
Epoch: [29][3420/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5646 (2.5372)	Prec@1 35.000 (37.954)	Prec@5 67.000 (68.835)
Epoch: [29][3430/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2496 (2.5371)	Prec@1 44.500 (37.957)	Prec@5 74.000 (68.837)
Epoch: [29][3440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3209 (2.5371)	Prec@1 43.500 (37.960)	Prec@5 70.500 (68.834)
Epoch: [29][3450/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5568 (2.5372)	Prec@1 36.000 (37.959)	Prec@5 67.000 (68.834)
Epoch: [29][3460/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4334 (2.5371)	Prec@1 41.500 (37.962)	Prec@5 70.500 (68.838)
Epoch: [29][3470/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7164 (2.5370)	Prec@1 34.000 (37.958)	Prec@5 64.500 (68.841)
Epoch: [29][3480/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3823 (2.5368)	Prec@1 39.500 (37.964)	Prec@5 69.500 (68.844)
Epoch: [29][3490/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6161 (2.5368)	Prec@1 38.500 (37.961)	Prec@5 63.000 (68.845)
Epoch: [29][3500/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5300 (2.5369)	Prec@1 40.500 (37.964)	Prec@5 70.000 (68.843)
Epoch: [29][3510/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4988 (2.5370)	Prec@1 39.000 (37.963)	Prec@5 73.000 (68.846)
Epoch: [29][3520/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6821 (2.5369)	Prec@1 31.500 (37.961)	Prec@5 66.000 (68.849)
Epoch: [29][3530/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.3085 (2.5371)	Prec@1 41.000 (37.958)	Prec@5 73.000 (68.844)
Epoch: [29][3540/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4336 (2.5372)	Prec@1 41.000 (37.956)	Prec@5 74.000 (68.842)
Epoch: [29][3550/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.7574 (2.5373)	Prec@1 38.500 (37.956)	Prec@5 66.000 (68.840)
Epoch: [29][3560/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5282 (2.5373)	Prec@1 30.500 (37.955)	Prec@5 67.500 (68.843)
Epoch: [29][3570/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7189 (2.5374)	Prec@1 37.500 (37.954)	Prec@5 65.000 (68.842)
Epoch: [29][3580/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4636 (2.5374)	Prec@1 41.500 (37.956)	Prec@5 72.000 (68.843)
Epoch: [29][3590/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3470 (2.5373)	Prec@1 44.000 (37.957)	Prec@5 71.000 (68.844)
Epoch: [29][3600/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3667 (2.5375)	Prec@1 40.500 (37.956)	Prec@5 68.500 (68.839)
Epoch: [29][3610/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5000 (2.5374)	Prec@1 37.000 (37.955)	Prec@5 71.000 (68.842)
Epoch: [29][3620/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5296 (2.5375)	Prec@1 40.500 (37.954)	Prec@5 68.000 (68.839)
Epoch: [29][3630/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6503 (2.5376)	Prec@1 38.000 (37.954)	Prec@5 64.500 (68.836)
Epoch: [29][3640/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4335 (2.5374)	Prec@1 41.000 (37.956)	Prec@5 70.000 (68.838)
Epoch: [29][3650/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.4392 (2.5374)	Prec@1 42.500 (37.956)	Prec@5 69.500 (68.837)
Epoch: [29][3660/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6769 (2.5371)	Prec@1 34.000 (37.960)	Prec@5 69.500 (68.840)
Epoch: [29][3670/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5602 (2.5372)	Prec@1 38.000 (37.959)	Prec@5 66.500 (68.840)
Epoch: [29][3680/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6036 (2.5373)	Prec@1 35.500 (37.953)	Prec@5 71.500 (68.838)
Epoch: [29][3690/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5939 (2.5376)	Prec@1 37.500 (37.948)	Prec@5 71.000 (68.829)
Epoch: [29][3700/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.5400 (2.5374)	Prec@1 40.000 (37.952)	Prec@5 67.500 (68.833)
Epoch: [29][3710/9018]	Time 0.649 (0.615)	Data 0.001 (0.001)	Loss 2.5852 (2.5373)	Prec@1 37.500 (37.951)	Prec@5 68.500 (68.833)
Epoch: [29][3720/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5375 (2.5371)	Prec@1 33.000 (37.951)	Prec@5 69.500 (68.838)
Epoch: [29][3730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4371 (2.5374)	Prec@1 36.000 (37.948)	Prec@5 72.000 (68.834)
Epoch: [29][3740/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4569 (2.5374)	Prec@1 38.500 (37.944)	Prec@5 72.500 (68.834)
Epoch: [29][3750/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6378 (2.5376)	Prec@1 35.000 (37.941)	Prec@5 62.500 (68.831)
Epoch: [29][3760/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7590 (2.5376)	Prec@1 33.000 (37.942)	Prec@5 65.000 (68.830)
Epoch: [29][3770/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3099 (2.5375)	Prec@1 41.000 (37.944)	Prec@5 71.000 (68.834)
Epoch: [29][3780/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.7313 (2.5374)	Prec@1 34.000 (37.945)	Prec@5 66.000 (68.835)
Epoch: [29][3790/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5811 (2.5374)	Prec@1 36.500 (37.948)	Prec@5 69.500 (68.838)
Epoch: [29][3800/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4021 (2.5375)	Prec@1 39.500 (37.944)	Prec@5 72.500 (68.836)
Epoch: [29][3810/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5703 (2.5376)	Prec@1 37.500 (37.945)	Prec@5 68.500 (68.836)
Epoch: [29][3820/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5063 (2.5378)	Prec@1 42.500 (37.944)	Prec@5 71.500 (68.835)
Epoch: [29][3830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5140 (2.5378)	Prec@1 41.000 (37.948)	Prec@5 70.500 (68.834)
Epoch: [29][3840/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5264 (2.5377)	Prec@1 41.500 (37.955)	Prec@5 72.000 (68.836)
Epoch: [29][3850/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.3949 (2.5378)	Prec@1 45.000 (37.956)	Prec@5 72.000 (68.836)
Epoch: [29][3860/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.8032 (2.5377)	Prec@1 38.000 (37.959)	Prec@5 61.500 (68.833)
Epoch: [29][3870/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.6497 (2.5378)	Prec@1 34.500 (37.959)	Prec@5 66.000 (68.831)
Epoch: [29][3880/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6660 (2.5378)	Prec@1 36.000 (37.962)	Prec@5 66.000 (68.828)
Epoch: [29][3890/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6155 (2.5377)	Prec@1 41.500 (37.966)	Prec@5 71.500 (68.828)
Epoch: [29][3900/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6222 (2.5376)	Prec@1 34.500 (37.965)	Prec@5 71.500 (68.830)
Epoch: [29][3910/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2523 (2.5375)	Prec@1 44.500 (37.965)	Prec@5 75.000 (68.833)
Epoch: [29][3920/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4751 (2.5373)	Prec@1 40.000 (37.968)	Prec@5 69.500 (68.838)
Epoch: [29][3930/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6290 (2.5374)	Prec@1 32.500 (37.968)	Prec@5 68.500 (68.835)
Epoch: [29][3940/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5144 (2.5374)	Prec@1 44.000 (37.972)	Prec@5 69.500 (68.834)
Epoch: [29][3950/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5776 (2.5375)	Prec@1 42.500 (37.973)	Prec@5 69.500 (68.833)
Epoch: [29][3960/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6284 (2.5376)	Prec@1 37.000 (37.971)	Prec@5 65.000 (68.832)
Epoch: [29][3970/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3775 (2.5373)	Prec@1 42.500 (37.975)	Prec@5 75.500 (68.836)
Epoch: [29][3980/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.8323 (2.5374)	Prec@1 34.500 (37.973)	Prec@5 66.000 (68.836)
Epoch: [29][3990/9018]	Time 0.651 (0.615)	Data 0.001 (0.001)	Loss 2.3784 (2.5376)	Prec@1 39.500 (37.973)	Prec@5 76.000 (68.836)
Epoch: [29][4000/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6406 (2.5374)	Prec@1 40.500 (37.977)	Prec@5 65.500 (68.837)
Epoch: [29][4010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7007 (2.5374)	Prec@1 37.000 (37.980)	Prec@5 66.500 (68.835)
Epoch: [29][4020/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2403 (2.5372)	Prec@1 45.500 (37.983)	Prec@5 76.000 (68.840)
Epoch: [29][4030/9018]	Time 0.757 (0.615)	Data 0.001 (0.001)	Loss 2.4127 (2.5370)	Prec@1 39.500 (37.987)	Prec@5 70.500 (68.842)
Epoch: [29][4040/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3372 (2.5370)	Prec@1 39.500 (37.985)	Prec@5 70.000 (68.841)
Epoch: [29][4050/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.7002 (2.5371)	Prec@1 31.500 (37.981)	Prec@5 65.500 (68.839)
Epoch: [29][4060/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.6320 (2.5370)	Prec@1 34.500 (37.987)	Prec@5 67.500 (68.839)
Epoch: [29][4070/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4793 (2.5372)	Prec@1 38.000 (37.981)	Prec@5 70.500 (68.835)
Epoch: [29][4080/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6526 (2.5372)	Prec@1 32.500 (37.986)	Prec@5 66.500 (68.833)
Epoch: [29][4090/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4243 (2.5371)	Prec@1 40.500 (37.990)	Prec@5 68.500 (68.834)
Epoch: [29][4100/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7677 (2.5370)	Prec@1 33.000 (37.993)	Prec@5 65.000 (68.837)
Epoch: [29][4110/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5784 (2.5369)	Prec@1 36.500 (37.996)	Prec@5 70.500 (68.839)
Epoch: [29][4120/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6404 (2.5370)	Prec@1 40.000 (37.992)	Prec@5 68.000 (68.839)
Epoch: [29][4130/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4341 (2.5369)	Prec@1 42.500 (37.995)	Prec@5 74.000 (68.842)
Epoch: [29][4140/9018]	Time 0.648 (0.615)	Data 0.001 (0.001)	Loss 2.1989 (2.5369)	Prec@1 44.500 (37.994)	Prec@5 76.000 (68.842)
Epoch: [29][4150/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6554 (2.5372)	Prec@1 33.500 (37.987)	Prec@5 68.500 (68.841)
Epoch: [29][4160/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4619 (2.5373)	Prec@1 39.000 (37.988)	Prec@5 69.000 (68.840)
Epoch: [29][4170/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.8184 (2.5373)	Prec@1 35.000 (37.987)	Prec@5 64.500 (68.841)
Epoch: [29][4180/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6310 (2.5374)	Prec@1 38.000 (37.985)	Prec@5 66.000 (68.837)
Epoch: [29][4190/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.5113 (2.5374)	Prec@1 41.500 (37.984)	Prec@5 69.500 (68.836)
Epoch: [29][4200/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5390 (2.5374)	Prec@1 43.000 (37.986)	Prec@5 69.000 (68.838)
Epoch: [29][4210/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5313 (2.5375)	Prec@1 38.000 (37.985)	Prec@5 70.500 (68.839)
Epoch: [29][4220/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.5973 (2.5374)	Prec@1 39.500 (37.984)	Prec@5 68.000 (68.838)
Epoch: [29][4230/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3103 (2.5372)	Prec@1 42.500 (37.988)	Prec@5 73.500 (68.840)
Epoch: [29][4240/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4482 (2.5372)	Prec@1 42.000 (37.990)	Prec@5 72.000 (68.841)
Epoch: [29][4250/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4603 (2.5372)	Prec@1 40.000 (37.990)	Prec@5 67.000 (68.841)
Epoch: [29][4260/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4497 (2.5372)	Prec@1 35.500 (37.991)	Prec@5 71.500 (68.838)
Epoch: [29][4270/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6849 (2.5373)	Prec@1 34.500 (37.989)	Prec@5 68.000 (68.839)
Epoch: [29][4280/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3890 (2.5374)	Prec@1 41.000 (37.986)	Prec@5 73.000 (68.835)
Epoch: [29][4290/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3487 (2.5373)	Prec@1 41.500 (37.985)	Prec@5 72.000 (68.836)
Epoch: [29][4300/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4411 (2.5372)	Prec@1 39.000 (37.986)	Prec@5 73.500 (68.836)
Epoch: [29][4310/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 2.6323 (2.5372)	Prec@1 30.500 (37.987)	Prec@5 64.500 (68.834)
Epoch: [29][4320/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3627 (2.5373)	Prec@1 38.500 (37.986)	Prec@5 72.000 (68.832)
Epoch: [29][4330/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.6233 (2.5373)	Prec@1 33.500 (37.986)	Prec@5 67.500 (68.833)
Epoch: [29][4340/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4688 (2.5373)	Prec@1 36.000 (37.983)	Prec@5 70.000 (68.830)
Epoch: [29][4350/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.7320 (2.5374)	Prec@1 33.000 (37.981)	Prec@5 65.500 (68.829)
Epoch: [29][4360/9018]	Time 0.755 (0.615)	Data 0.001 (0.001)	Loss 2.7489 (2.5374)	Prec@1 38.500 (37.983)	Prec@5 61.500 (68.830)
Epoch: [29][4370/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6241 (2.5375)	Prec@1 36.000 (37.982)	Prec@5 69.000 (68.829)
Epoch: [29][4380/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3199 (2.5375)	Prec@1 45.500 (37.983)	Prec@5 70.500 (68.829)
Epoch: [29][4390/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6479 (2.5375)	Prec@1 38.000 (37.983)	Prec@5 65.000 (68.825)
Epoch: [29][4400/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5051 (2.5377)	Prec@1 40.500 (37.983)	Prec@5 72.000 (68.823)
Epoch: [29][4410/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3384 (2.5377)	Prec@1 43.000 (37.980)	Prec@5 73.000 (68.823)
Epoch: [29][4420/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4136 (2.5378)	Prec@1 41.000 (37.980)	Prec@5 73.000 (68.823)
Epoch: [29][4430/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5312 (2.5379)	Prec@1 40.000 (37.981)	Prec@5 66.000 (68.817)
Epoch: [29][4440/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5801 (2.5378)	Prec@1 44.500 (37.984)	Prec@5 66.000 (68.819)
Epoch: [29][4450/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5103 (2.5379)	Prec@1 35.500 (37.981)	Prec@5 72.500 (68.817)
Epoch: [29][4460/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6331 (2.5380)	Prec@1 35.500 (37.978)	Prec@5 66.500 (68.814)
Epoch: [29][4470/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6588 (2.5381)	Prec@1 37.000 (37.974)	Prec@5 63.500 (68.810)
Epoch: [29][4480/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4811 (2.5382)	Prec@1 37.500 (37.972)	Prec@5 72.500 (68.810)
Epoch: [29][4490/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4315 (2.5380)	Prec@1 38.500 (37.975)	Prec@5 68.500 (68.814)
Epoch: [29][4500/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3326 (2.5381)	Prec@1 45.500 (37.976)	Prec@5 71.000 (68.814)
Epoch: [29][4510/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7122 (2.5381)	Prec@1 34.000 (37.977)	Prec@5 66.000 (68.813)
Epoch: [29][4520/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3397 (2.5379)	Prec@1 45.500 (37.980)	Prec@5 72.500 (68.819)
Epoch: [29][4530/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6252 (2.5380)	Prec@1 34.500 (37.977)	Prec@5 65.000 (68.816)
Epoch: [29][4540/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5949 (2.5382)	Prec@1 37.000 (37.974)	Prec@5 69.000 (68.810)
Epoch: [29][4550/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.8140 (2.5382)	Prec@1 34.000 (37.974)	Prec@5 65.000 (68.812)
Epoch: [29][4560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3242 (2.5382)	Prec@1 42.000 (37.969)	Prec@5 74.000 (68.811)
Epoch: [29][4570/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6429 (2.5382)	Prec@1 37.500 (37.969)	Prec@5 63.000 (68.811)
Epoch: [29][4580/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7262 (2.5382)	Prec@1 33.000 (37.969)	Prec@5 63.000 (68.811)
Epoch: [29][4590/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4501 (2.5381)	Prec@1 38.000 (37.971)	Prec@5 71.000 (68.812)
Epoch: [29][4600/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5537 (2.5382)	Prec@1 36.500 (37.965)	Prec@5 71.500 (68.811)
Epoch: [29][4610/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.5707 (2.5383)	Prec@1 38.000 (37.966)	Prec@5 68.500 (68.809)
Epoch: [29][4620/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.3474 (2.5381)	Prec@1 40.000 (37.968)	Prec@5 72.500 (68.811)
Epoch: [29][4630/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5458 (2.5383)	Prec@1 41.000 (37.967)	Prec@5 69.000 (68.807)
Epoch: [29][4640/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 2.4890 (2.5381)	Prec@1 38.000 (37.969)	Prec@5 71.000 (68.810)
Epoch: [29][4650/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4286 (2.5381)	Prec@1 39.000 (37.965)	Prec@5 69.000 (68.810)
Epoch: [29][4660/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.5658 (2.5382)	Prec@1 37.500 (37.966)	Prec@5 68.500 (68.808)
Epoch: [29][4670/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7820 (2.5384)	Prec@1 36.500 (37.963)	Prec@5 66.500 (68.806)
Epoch: [29][4680/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7289 (2.5384)	Prec@1 36.500 (37.961)	Prec@5 66.000 (68.805)
Epoch: [29][4690/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.7047 (2.5386)	Prec@1 35.500 (37.959)	Prec@5 66.000 (68.804)
Epoch: [29][4700/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4533 (2.5385)	Prec@1 39.000 (37.960)	Prec@5 69.000 (68.803)
Epoch: [29][4710/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7821 (2.5386)	Prec@1 35.500 (37.961)	Prec@5 64.500 (68.802)
Epoch: [29][4720/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5284 (2.5387)	Prec@1 39.000 (37.960)	Prec@5 64.000 (68.798)
Epoch: [29][4730/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5467 (2.5387)	Prec@1 36.500 (37.961)	Prec@5 68.000 (68.798)
Epoch: [29][4740/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3453 (2.5386)	Prec@1 40.000 (37.960)	Prec@5 75.000 (68.800)
Epoch: [29][4750/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4556 (2.5386)	Prec@1 43.000 (37.960)	Prec@5 68.000 (68.799)
Epoch: [29][4760/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4493 (2.5385)	Prec@1 45.500 (37.964)	Prec@5 72.500 (68.801)
Epoch: [29][4770/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5260 (2.5384)	Prec@1 36.000 (37.966)	Prec@5 70.000 (68.801)
Epoch: [29][4780/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5989 (2.5383)	Prec@1 38.500 (37.967)	Prec@5 66.500 (68.801)
Epoch: [29][4790/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.2769 (2.5383)	Prec@1 45.500 (37.966)	Prec@5 74.000 (68.799)
Epoch: [29][4800/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6358 (2.5383)	Prec@1 35.000 (37.966)	Prec@5 68.500 (68.799)
Epoch: [29][4810/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4785 (2.5383)	Prec@1 42.500 (37.966)	Prec@5 69.000 (68.797)
Epoch: [29][4820/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7043 (2.5382)	Prec@1 36.000 (37.969)	Prec@5 62.500 (68.796)
Epoch: [29][4830/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.7193 (2.5383)	Prec@1 34.000 (37.969)	Prec@5 63.000 (68.794)
Epoch: [29][4840/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7316 (2.5384)	Prec@1 33.500 (37.968)	Prec@5 65.000 (68.793)
Epoch: [29][4850/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.6454 (2.5383)	Prec@1 31.000 (37.968)	Prec@5 67.500 (68.794)
Epoch: [29][4860/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4486 (2.5382)	Prec@1 38.000 (37.970)	Prec@5 67.500 (68.796)
Epoch: [29][4870/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4537 (2.5382)	Prec@1 38.500 (37.970)	Prec@5 70.000 (68.797)
Epoch: [29][4880/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2937 (2.5383)	Prec@1 38.000 (37.965)	Prec@5 77.500 (68.798)
Epoch: [29][4890/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6856 (2.5382)	Prec@1 40.000 (37.969)	Prec@5 63.500 (68.800)
Epoch: [29][4900/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7336 (2.5382)	Prec@1 35.000 (37.965)	Prec@5 65.000 (68.800)
Epoch: [29][4910/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.8025 (2.5384)	Prec@1 33.000 (37.961)	Prec@5 63.500 (68.798)
Epoch: [29][4920/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4480 (2.5383)	Prec@1 41.000 (37.964)	Prec@5 65.000 (68.798)
Epoch: [29][4930/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3918 (2.5383)	Prec@1 43.000 (37.963)	Prec@5 70.000 (68.794)
Epoch: [29][4940/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.6816 (2.5383)	Prec@1 32.000 (37.965)	Prec@5 65.500 (68.795)
Epoch: [29][4950/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6125 (2.5384)	Prec@1 38.500 (37.961)	Prec@5 68.500 (68.794)
Epoch: [29][4960/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5618 (2.5384)	Prec@1 36.000 (37.961)	Prec@5 68.000 (68.793)
Epoch: [29][4970/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.4313 (2.5385)	Prec@1 37.000 (37.958)	Prec@5 72.500 (68.791)
Epoch: [29][4980/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5921 (2.5387)	Prec@1 37.000 (37.956)	Prec@5 67.000 (68.788)
Epoch: [29][4990/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5673 (2.5386)	Prec@1 35.500 (37.958)	Prec@5 67.000 (68.790)
Epoch: [29][5000/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4752 (2.5386)	Prec@1 42.000 (37.958)	Prec@5 69.000 (68.791)
Epoch: [29][5010/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5911 (2.5388)	Prec@1 34.500 (37.956)	Prec@5 67.500 (68.788)
Epoch: [29][5020/9018]	Time 0.708 (0.615)	Data 0.001 (0.001)	Loss 2.4730 (2.5386)	Prec@1 35.500 (37.957)	Prec@5 67.500 (68.792)
Epoch: [29][5030/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2687 (2.5386)	Prec@1 43.500 (37.956)	Prec@5 72.000 (68.793)
Epoch: [29][5040/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6676 (2.5387)	Prec@1 40.000 (37.958)	Prec@5 67.000 (68.792)
Epoch: [29][5050/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3978 (2.5387)	Prec@1 41.500 (37.957)	Prec@5 70.500 (68.790)
Epoch: [29][5060/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6976 (2.5388)	Prec@1 32.000 (37.957)	Prec@5 63.500 (68.787)
Epoch: [29][5070/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.5046 (2.5389)	Prec@1 36.000 (37.959)	Prec@5 69.000 (68.785)
Epoch: [29][5080/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7955 (2.5390)	Prec@1 29.500 (37.956)	Prec@5 59.500 (68.781)
Epoch: [29][5090/9018]	Time 0.621 (0.615)	Data 0.002 (0.001)	Loss 2.5627 (2.5390)	Prec@1 34.000 (37.957)	Prec@5 69.500 (68.780)
Epoch: [29][5100/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5282 (2.5391)	Prec@1 37.500 (37.954)	Prec@5 67.500 (68.779)
Epoch: [29][5110/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5161 (2.5390)	Prec@1 39.500 (37.957)	Prec@5 69.000 (68.780)
Epoch: [29][5120/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0883 (2.5389)	Prec@1 42.500 (37.957)	Prec@5 79.000 (68.783)
Epoch: [29][5130/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3789 (2.5388)	Prec@1 41.000 (37.957)	Prec@5 72.000 (68.784)
Epoch: [29][5140/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.7076 (2.5389)	Prec@1 34.500 (37.955)	Prec@5 66.500 (68.779)
Epoch: [29][5150/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4769 (2.5388)	Prec@1 42.500 (37.959)	Prec@5 69.000 (68.780)
Epoch: [29][5160/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4347 (2.5389)	Prec@1 42.500 (37.960)	Prec@5 67.500 (68.779)
Epoch: [29][5170/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6651 (2.5388)	Prec@1 36.500 (37.960)	Prec@5 64.500 (68.779)
Epoch: [29][5180/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.5949 (2.5389)	Prec@1 39.000 (37.958)	Prec@5 69.500 (68.777)
Epoch: [29][5190/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6273 (2.5389)	Prec@1 35.000 (37.958)	Prec@5 72.000 (68.778)
Epoch: [29][5200/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6284 (2.5389)	Prec@1 36.000 (37.958)	Prec@5 67.000 (68.779)
Epoch: [29][5210/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 3.0686 (2.5390)	Prec@1 29.000 (37.956)	Prec@5 57.500 (68.777)
Epoch: [29][5220/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7350 (2.5392)	Prec@1 33.500 (37.953)	Prec@5 65.500 (68.775)
Epoch: [29][5230/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6656 (2.5393)	Prec@1 32.000 (37.949)	Prec@5 68.500 (68.775)
Epoch: [29][5240/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4983 (2.5392)	Prec@1 38.500 (37.951)	Prec@5 68.500 (68.775)
Epoch: [29][5250/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.6719 (2.5393)	Prec@1 34.500 (37.952)	Prec@5 67.500 (68.775)
Epoch: [29][5260/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4297 (2.5392)	Prec@1 39.000 (37.952)	Prec@5 68.500 (68.779)
Epoch: [29][5270/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3866 (2.5391)	Prec@1 40.000 (37.952)	Prec@5 71.000 (68.778)
Epoch: [29][5280/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6652 (2.5390)	Prec@1 34.500 (37.954)	Prec@5 66.500 (68.779)
Epoch: [29][5290/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6212 (2.5389)	Prec@1 39.500 (37.956)	Prec@5 67.000 (68.782)
Epoch: [29][5300/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.5776 (2.5389)	Prec@1 38.000 (37.955)	Prec@5 67.000 (68.781)
Epoch: [29][5310/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6558 (2.5389)	Prec@1 36.500 (37.955)	Prec@5 67.500 (68.781)
Epoch: [29][5320/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5513 (2.5389)	Prec@1 40.000 (37.954)	Prec@5 69.000 (68.782)
Epoch: [29][5330/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3447 (2.5388)	Prec@1 40.000 (37.957)	Prec@5 76.500 (68.787)
Epoch: [29][5340/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5670 (2.5388)	Prec@1 37.000 (37.958)	Prec@5 67.000 (68.787)
Epoch: [29][5350/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.4473 (2.5388)	Prec@1 38.000 (37.958)	Prec@5 72.000 (68.787)
Epoch: [29][5360/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6135 (2.5389)	Prec@1 38.000 (37.958)	Prec@5 69.000 (68.786)
Epoch: [29][5370/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.5439 (2.5389)	Prec@1 35.500 (37.959)	Prec@5 72.000 (68.785)
Epoch: [29][5380/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5302 (2.5389)	Prec@1 37.500 (37.960)	Prec@5 68.000 (68.785)
Epoch: [29][5390/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.3974 (2.5390)	Prec@1 36.000 (37.958)	Prec@5 72.500 (68.783)
Epoch: [29][5400/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.7704 (2.5389)	Prec@1 31.000 (37.959)	Prec@5 65.500 (68.783)
Epoch: [29][5410/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.4542 (2.5389)	Prec@1 39.000 (37.958)	Prec@5 72.500 (68.783)
Epoch: [29][5420/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4690 (2.5389)	Prec@1 39.000 (37.958)	Prec@5 68.500 (68.783)
Epoch: [29][5430/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4699 (2.5389)	Prec@1 41.000 (37.959)	Prec@5 71.500 (68.786)
Epoch: [29][5440/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.6366 (2.5388)	Prec@1 32.500 (37.958)	Prec@5 62.500 (68.785)
Epoch: [29][5450/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6613 (2.5389)	Prec@1 34.500 (37.956)	Prec@5 68.500 (68.783)
Epoch: [29][5460/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5515 (2.5389)	Prec@1 35.500 (37.956)	Prec@5 66.500 (68.783)
Epoch: [29][5470/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.3954 (2.5387)	Prec@1 39.500 (37.961)	Prec@5 72.000 (68.787)
Epoch: [29][5480/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5208 (2.5387)	Prec@1 34.500 (37.958)	Prec@5 71.000 (68.786)
Epoch: [29][5490/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6444 (2.5387)	Prec@1 32.000 (37.957)	Prec@5 67.500 (68.784)
Epoch: [29][5500/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5056 (2.5387)	Prec@1 37.000 (37.957)	Prec@5 67.500 (68.782)
Epoch: [29][5510/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5850 (2.5388)	Prec@1 36.500 (37.956)	Prec@5 68.500 (68.782)
Epoch: [29][5520/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.7985 (2.5389)	Prec@1 34.500 (37.952)	Prec@5 63.500 (68.782)
Epoch: [29][5530/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5245 (2.5389)	Prec@1 36.000 (37.954)	Prec@5 67.500 (68.784)
Epoch: [29][5540/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4077 (2.5388)	Prec@1 38.500 (37.953)	Prec@5 74.000 (68.784)
Epoch: [29][5550/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6032 (2.5389)	Prec@1 36.500 (37.950)	Prec@5 67.000 (68.784)
Epoch: [29][5560/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4121 (2.5390)	Prec@1 37.000 (37.946)	Prec@5 72.500 (68.783)
Epoch: [29][5570/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6437 (2.5389)	Prec@1 34.000 (37.946)	Prec@5 65.000 (68.783)
Epoch: [29][5580/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.6216 (2.5390)	Prec@1 36.500 (37.945)	Prec@5 71.500 (68.782)
Epoch: [29][5590/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5066 (2.5389)	Prec@1 38.500 (37.946)	Prec@5 67.000 (68.784)
Epoch: [29][5600/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4494 (2.5389)	Prec@1 38.500 (37.948)	Prec@5 70.500 (68.785)
Epoch: [29][5610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3988 (2.5390)	Prec@1 40.500 (37.948)	Prec@5 72.500 (68.782)
Epoch: [29][5620/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.9018 (2.5391)	Prec@1 36.000 (37.951)	Prec@5 62.500 (68.780)
Epoch: [29][5630/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.4163 (2.5392)	Prec@1 42.000 (37.949)	Prec@5 69.000 (68.779)
Epoch: [29][5640/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3506 (2.5391)	Prec@1 42.000 (37.951)	Prec@5 73.500 (68.780)
Epoch: [29][5650/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6666 (2.5392)	Prec@1 35.500 (37.950)	Prec@5 65.500 (68.777)
Epoch: [29][5660/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3957 (2.5392)	Prec@1 40.000 (37.950)	Prec@5 72.000 (68.776)
Epoch: [29][5670/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.6242 (2.5391)	Prec@1 36.000 (37.950)	Prec@5 65.000 (68.777)
Epoch: [29][5680/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.5012 (2.5392)	Prec@1 43.000 (37.951)	Prec@5 67.500 (68.774)
Epoch: [29][5690/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5271 (2.5392)	Prec@1 35.000 (37.951)	Prec@5 69.500 (68.776)
Epoch: [29][5700/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3965 (2.5390)	Prec@1 42.000 (37.953)	Prec@5 70.500 (68.778)
Epoch: [29][5710/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.4227 (2.5389)	Prec@1 39.500 (37.956)	Prec@5 73.000 (68.780)
Epoch: [29][5720/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3340 (2.5388)	Prec@1 43.500 (37.957)	Prec@5 72.000 (68.781)
Epoch: [29][5730/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.5127 (2.5388)	Prec@1 34.500 (37.957)	Prec@5 68.500 (68.782)
Epoch: [29][5740/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4606 (2.5389)	Prec@1 41.000 (37.956)	Prec@5 67.000 (68.780)
Epoch: [29][5750/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5867 (2.5389)	Prec@1 35.000 (37.954)	Prec@5 70.000 (68.779)
Epoch: [29][5760/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.4724 (2.5390)	Prec@1 38.000 (37.954)	Prec@5 70.500 (68.777)
Epoch: [29][5770/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4584 (2.5390)	Prec@1 37.500 (37.955)	Prec@5 69.500 (68.777)
Epoch: [29][5780/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6236 (2.5388)	Prec@1 36.500 (37.958)	Prec@5 67.500 (68.779)
Epoch: [29][5790/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4784 (2.5388)	Prec@1 35.000 (37.955)	Prec@5 68.000 (68.778)
Epoch: [29][5800/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3754 (2.5387)	Prec@1 36.500 (37.956)	Prec@5 72.500 (68.777)
Epoch: [29][5810/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5154 (2.5387)	Prec@1 38.500 (37.953)	Prec@5 71.000 (68.776)
Epoch: [29][5820/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6934 (2.5387)	Prec@1 36.500 (37.955)	Prec@5 64.500 (68.775)
Epoch: [29][5830/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4424 (2.5386)	Prec@1 38.500 (37.956)	Prec@5 68.500 (68.776)
Epoch: [29][5840/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6549 (2.5386)	Prec@1 33.500 (37.956)	Prec@5 65.000 (68.776)
Epoch: [29][5850/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5865 (2.5386)	Prec@1 36.500 (37.954)	Prec@5 68.500 (68.776)
Epoch: [29][5860/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4226 (2.5385)	Prec@1 41.000 (37.956)	Prec@5 71.500 (68.779)
Epoch: [29][5870/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5679 (2.5385)	Prec@1 37.000 (37.955)	Prec@5 68.000 (68.776)
Epoch: [29][5880/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.7218 (2.5386)	Prec@1 38.500 (37.955)	Prec@5 66.500 (68.774)
Epoch: [29][5890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4479 (2.5385)	Prec@1 37.000 (37.958)	Prec@5 69.000 (68.776)
Epoch: [29][5900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5343 (2.5384)	Prec@1 35.500 (37.958)	Prec@5 69.500 (68.777)
Epoch: [29][5910/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5660 (2.5384)	Prec@1 33.000 (37.955)	Prec@5 66.500 (68.777)
Epoch: [29][5920/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4965 (2.5384)	Prec@1 38.500 (37.954)	Prec@5 68.500 (68.775)
Epoch: [29][5930/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6108 (2.5386)	Prec@1 38.000 (37.951)	Prec@5 70.000 (68.773)
Epoch: [29][5940/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6669 (2.5386)	Prec@1 37.500 (37.949)	Prec@5 65.000 (68.773)
Epoch: [29][5950/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5453 (2.5386)	Prec@1 38.000 (37.951)	Prec@5 66.500 (68.771)
Epoch: [29][5960/9018]	Time 0.709 (0.615)	Data 0.001 (0.001)	Loss 2.6282 (2.5385)	Prec@1 40.500 (37.953)	Prec@5 67.000 (68.773)
Epoch: [29][5970/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.1220 (2.5384)	Prec@1 44.000 (37.955)	Prec@5 76.000 (68.774)
Epoch: [29][5980/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.6066 (2.5384)	Prec@1 41.000 (37.958)	Prec@5 67.500 (68.772)
Epoch: [29][5990/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.6499 (2.5385)	Prec@1 35.000 (37.957)	Prec@5 69.000 (68.771)
Epoch: [29][6000/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.7561 (2.5386)	Prec@1 34.500 (37.955)	Prec@5 63.500 (68.768)
Epoch: [29][6010/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.2489 (2.5387)	Prec@1 46.500 (37.952)	Prec@5 75.000 (68.768)
Epoch: [29][6020/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6116 (2.5386)	Prec@1 35.500 (37.954)	Prec@5 65.500 (68.770)
Epoch: [29][6030/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5919 (2.5386)	Prec@1 40.000 (37.955)	Prec@5 71.500 (68.770)
Epoch: [29][6040/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.5547 (2.5386)	Prec@1 37.500 (37.955)	Prec@5 70.500 (68.771)
Epoch: [29][6050/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4916 (2.5386)	Prec@1 41.000 (37.956)	Prec@5 73.500 (68.771)
Epoch: [29][6060/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6232 (2.5387)	Prec@1 37.000 (37.957)	Prec@5 64.500 (68.771)
Epoch: [29][6070/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6376 (2.5386)	Prec@1 32.500 (37.958)	Prec@5 66.500 (68.771)
Epoch: [29][6080/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5732 (2.5387)	Prec@1 39.000 (37.956)	Prec@5 71.000 (68.770)
Epoch: [29][6090/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.5999 (2.5388)	Prec@1 34.500 (37.952)	Prec@5 70.000 (68.769)
Epoch: [29][6100/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5166 (2.5388)	Prec@1 41.500 (37.952)	Prec@5 72.000 (68.769)
Epoch: [29][6110/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6484 (2.5388)	Prec@1 36.500 (37.952)	Prec@5 65.500 (68.768)
Epoch: [29][6120/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7248 (2.5389)	Prec@1 32.000 (37.950)	Prec@5 64.000 (68.767)
Epoch: [29][6130/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6968 (2.5390)	Prec@1 34.500 (37.948)	Prec@5 67.000 (68.766)
Epoch: [29][6140/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3682 (2.5390)	Prec@1 44.000 (37.949)	Prec@5 72.000 (68.766)
Epoch: [29][6150/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5045 (2.5390)	Prec@1 37.000 (37.946)	Prec@5 69.000 (68.765)
Epoch: [29][6160/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.5676 (2.5390)	Prec@1 39.000 (37.948)	Prec@5 67.500 (68.765)
Epoch: [29][6170/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3415 (2.5390)	Prec@1 40.500 (37.950)	Prec@5 76.500 (68.766)
Epoch: [29][6180/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6299 (2.5389)	Prec@1 34.000 (37.950)	Prec@5 67.000 (68.767)
Epoch: [29][6190/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5746 (2.5389)	Prec@1 35.000 (37.950)	Prec@5 71.000 (68.768)
Epoch: [29][6200/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5566 (2.5389)	Prec@1 38.000 (37.950)	Prec@5 66.500 (68.767)
Epoch: [29][6210/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4031 (2.5390)	Prec@1 39.500 (37.949)	Prec@5 70.500 (68.766)
Epoch: [29][6220/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5488 (2.5390)	Prec@1 34.500 (37.949)	Prec@5 71.500 (68.765)
Epoch: [29][6230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5698 (2.5391)	Prec@1 38.500 (37.947)	Prec@5 69.500 (68.766)
Epoch: [29][6240/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5617 (2.5391)	Prec@1 37.500 (37.946)	Prec@5 72.000 (68.766)
Epoch: [29][6250/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5392 (2.5391)	Prec@1 39.500 (37.947)	Prec@5 70.000 (68.765)
Epoch: [29][6260/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6837 (2.5393)	Prec@1 37.500 (37.945)	Prec@5 66.500 (68.761)
Epoch: [29][6270/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5180 (2.5393)	Prec@1 39.500 (37.945)	Prec@5 65.000 (68.759)
Epoch: [29][6280/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4268 (2.5392)	Prec@1 43.000 (37.948)	Prec@5 71.500 (68.762)
Epoch: [29][6290/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.6493 (2.5392)	Prec@1 32.000 (37.947)	Prec@5 71.000 (68.762)
Epoch: [29][6300/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4018 (2.5393)	Prec@1 43.500 (37.944)	Prec@5 70.500 (68.763)
Epoch: [29][6310/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5289 (2.5394)	Prec@1 41.000 (37.941)	Prec@5 69.000 (68.762)
Epoch: [29][6320/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5413 (2.5393)	Prec@1 39.000 (37.942)	Prec@5 67.500 (68.762)
Epoch: [29][6330/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4529 (2.5393)	Prec@1 39.500 (37.943)	Prec@5 72.500 (68.764)
Epoch: [29][6340/9018]	Time 0.708 (0.615)	Data 0.001 (0.001)	Loss 2.4618 (2.5393)	Prec@1 39.500 (37.943)	Prec@5 70.000 (68.766)
Epoch: [29][6350/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5262 (2.5392)	Prec@1 36.000 (37.944)	Prec@5 69.500 (68.766)
Epoch: [29][6360/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4849 (2.5393)	Prec@1 43.000 (37.944)	Prec@5 70.000 (68.766)
Epoch: [29][6370/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.7515 (2.5393)	Prec@1 30.000 (37.945)	Prec@5 64.500 (68.766)
Epoch: [29][6380/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4507 (2.5393)	Prec@1 45.500 (37.947)	Prec@5 70.500 (68.764)
Epoch: [29][6390/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.6721 (2.5395)	Prec@1 36.500 (37.945)	Prec@5 67.500 (68.759)
Epoch: [29][6400/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.4043 (2.5394)	Prec@1 44.000 (37.947)	Prec@5 71.500 (68.762)
Epoch: [29][6410/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.5453 (2.5394)	Prec@1 34.000 (37.946)	Prec@5 67.000 (68.759)
Epoch: [29][6420/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4506 (2.5394)	Prec@1 37.000 (37.946)	Prec@5 72.500 (68.759)
Epoch: [29][6430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5331 (2.5394)	Prec@1 39.000 (37.946)	Prec@5 70.500 (68.760)
Epoch: [29][6440/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6322 (2.5394)	Prec@1 38.000 (37.944)	Prec@5 65.000 (68.760)
Epoch: [29][6450/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4770 (2.5393)	Prec@1 34.500 (37.947)	Prec@5 70.000 (68.762)
Epoch: [29][6460/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5824 (2.5394)	Prec@1 33.500 (37.944)	Prec@5 68.000 (68.761)
Epoch: [29][6470/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.6931 (2.5393)	Prec@1 33.500 (37.944)	Prec@5 64.500 (68.761)
Epoch: [29][6480/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.5538 (2.5394)	Prec@1 38.500 (37.939)	Prec@5 65.500 (68.760)
Epoch: [29][6490/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.6854 (2.5394)	Prec@1 40.000 (37.940)	Prec@5 67.500 (68.759)
Epoch: [29][6500/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5419 (2.5395)	Prec@1 35.500 (37.937)	Prec@5 69.000 (68.759)
Epoch: [29][6510/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6352 (2.5395)	Prec@1 39.500 (37.936)	Prec@5 66.000 (68.760)
Epoch: [29][6520/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.3833 (2.5394)	Prec@1 41.000 (37.938)	Prec@5 70.500 (68.764)
Epoch: [29][6530/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5201 (2.5394)	Prec@1 37.500 (37.937)	Prec@5 64.000 (68.764)
Epoch: [29][6540/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5296 (2.5395)	Prec@1 38.500 (37.935)	Prec@5 70.000 (68.763)
Epoch: [29][6550/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5225 (2.5396)	Prec@1 38.500 (37.933)	Prec@5 67.500 (68.760)
Epoch: [29][6560/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.5545 (2.5395)	Prec@1 39.000 (37.932)	Prec@5 67.500 (68.761)
Epoch: [29][6570/9018]	Time 0.770 (0.615)	Data 0.001 (0.001)	Loss 2.4624 (2.5395)	Prec@1 39.500 (37.929)	Prec@5 67.000 (68.761)
Epoch: [29][6580/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4911 (2.5394)	Prec@1 36.000 (37.929)	Prec@5 67.000 (68.762)
Epoch: [29][6590/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6917 (2.5395)	Prec@1 36.500 (37.927)	Prec@5 64.000 (68.760)
Epoch: [29][6600/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4163 (2.5396)	Prec@1 39.500 (37.925)	Prec@5 72.000 (68.758)
Epoch: [29][6610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.7186 (2.5396)	Prec@1 36.500 (37.926)	Prec@5 64.500 (68.758)
Epoch: [29][6620/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.4270 (2.5394)	Prec@1 36.500 (37.928)	Prec@5 74.000 (68.761)
Epoch: [29][6630/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3061 (2.5395)	Prec@1 38.500 (37.928)	Prec@5 76.000 (68.760)
Epoch: [29][6640/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.5794 (2.5396)	Prec@1 38.500 (37.927)	Prec@5 69.000 (68.759)
Epoch: [29][6650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5478 (2.5396)	Prec@1 36.500 (37.927)	Prec@5 67.000 (68.758)
Epoch: [29][6660/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3934 (2.5395)	Prec@1 43.000 (37.929)	Prec@5 72.500 (68.757)
Epoch: [29][6670/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.5955 (2.5396)	Prec@1 35.000 (37.928)	Prec@5 67.000 (68.757)
Epoch: [29][6680/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4731 (2.5397)	Prec@1 38.500 (37.927)	Prec@5 72.500 (68.757)
Epoch: [29][6690/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6816 (2.5397)	Prec@1 33.000 (37.926)	Prec@5 67.500 (68.756)
Epoch: [29][6700/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3614 (2.5397)	Prec@1 41.000 (37.926)	Prec@5 77.000 (68.756)
Epoch: [29][6710/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.3183 (2.5397)	Prec@1 39.500 (37.926)	Prec@5 71.000 (68.757)
Epoch: [29][6720/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6125 (2.5397)	Prec@1 37.000 (37.929)	Prec@5 69.500 (68.759)
Epoch: [29][6730/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1902 (2.5397)	Prec@1 45.000 (37.928)	Prec@5 77.000 (68.758)
Epoch: [29][6740/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6012 (2.5397)	Prec@1 39.500 (37.928)	Prec@5 69.500 (68.757)
Epoch: [29][6750/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.3857 (2.5397)	Prec@1 39.500 (37.927)	Prec@5 76.500 (68.758)
Epoch: [29][6760/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6719 (2.5398)	Prec@1 33.000 (37.924)	Prec@5 68.000 (68.758)
Epoch: [29][6770/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5894 (2.5398)	Prec@1 36.500 (37.925)	Prec@5 65.000 (68.756)
Epoch: [29][6780/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.6584 (2.5398)	Prec@1 35.500 (37.925)	Prec@5 64.000 (68.756)
Epoch: [29][6790/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.5368 (2.5399)	Prec@1 36.500 (37.921)	Prec@5 70.500 (68.753)
Epoch: [29][6800/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6175 (2.5399)	Prec@1 35.000 (37.925)	Prec@5 65.500 (68.754)
Epoch: [29][6810/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6372 (2.5399)	Prec@1 37.000 (37.922)	Prec@5 69.000 (68.752)
Epoch: [29][6820/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.5152 (2.5399)	Prec@1 40.500 (37.924)	Prec@5 66.000 (68.755)
Epoch: [29][6830/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.6646 (2.5400)	Prec@1 32.500 (37.922)	Prec@5 67.500 (68.755)
Epoch: [29][6840/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4255 (2.5399)	Prec@1 39.500 (37.924)	Prec@5 68.500 (68.755)
Epoch: [29][6850/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.7913 (2.5400)	Prec@1 31.000 (37.922)	Prec@5 62.500 (68.755)
Epoch: [29][6860/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.4692 (2.5399)	Prec@1 43.000 (37.925)	Prec@5 68.000 (68.756)
Epoch: [29][6870/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5817 (2.5401)	Prec@1 42.000 (37.923)	Prec@5 70.000 (68.753)
Epoch: [29][6880/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.6053 (2.5401)	Prec@1 39.000 (37.920)	Prec@5 62.500 (68.752)
Epoch: [29][6890/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.3881 (2.5401)	Prec@1 35.500 (37.920)	Prec@5 71.000 (68.752)
Epoch: [29][6900/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.5017 (2.5401)	Prec@1 38.500 (37.920)	Prec@5 67.000 (68.753)
Epoch: [29][6910/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5587 (2.5401)	Prec@1 43.000 (37.921)	Prec@5 68.500 (68.754)
Epoch: [29][6920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5132 (2.5402)	Prec@1 38.000 (37.919)	Prec@5 69.500 (68.750)
Epoch: [29][6930/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.4846 (2.5402)	Prec@1 41.500 (37.918)	Prec@5 65.500 (68.750)
Epoch: [29][6940/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.6802 (2.5401)	Prec@1 31.000 (37.920)	Prec@5 67.500 (68.753)
Epoch: [29][6950/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.3891 (2.5401)	Prec@1 40.000 (37.917)	Prec@5 73.500 (68.755)
Epoch: [29][6960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6266 (2.5401)	Prec@1 32.500 (37.916)	Prec@5 68.500 (68.754)
Epoch: [29][6970/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6796 (2.5402)	Prec@1 34.500 (37.915)	Prec@5 62.500 (68.752)
Epoch: [29][6980/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.7047 (2.5402)	Prec@1 33.500 (37.915)	Prec@5 66.500 (68.753)
Epoch: [29][6990/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3411 (2.5402)	Prec@1 45.000 (37.915)	Prec@5 71.500 (68.753)
Epoch: [29][7000/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7128 (2.5403)	Prec@1 34.500 (37.914)	Prec@5 62.000 (68.751)
Epoch: [29][7010/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5348 (2.5401)	Prec@1 38.000 (37.917)	Prec@5 66.500 (68.754)
Epoch: [29][7020/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.5615 (2.5401)	Prec@1 38.500 (37.918)	Prec@5 67.000 (68.753)
Epoch: [29][7030/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.6913 (2.5401)	Prec@1 33.000 (37.918)	Prec@5 64.000 (68.753)
Epoch: [29][7040/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.7256 (2.5401)	Prec@1 33.500 (37.916)	Prec@5 64.000 (68.753)
Epoch: [29][7050/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5290 (2.5402)	Prec@1 38.000 (37.915)	Prec@5 68.500 (68.752)
Epoch: [29][7060/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5358 (2.5402)	Prec@1 43.000 (37.916)	Prec@5 66.500 (68.750)
Epoch: [29][7070/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.7881 (2.5402)	Prec@1 30.000 (37.915)	Prec@5 62.000 (68.749)
Epoch: [29][7080/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4517 (2.5402)	Prec@1 36.000 (37.916)	Prec@5 68.500 (68.748)
Epoch: [29][7090/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5439 (2.5402)	Prec@1 41.000 (37.920)	Prec@5 66.000 (68.749)
Epoch: [29][7100/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.7457 (2.5402)	Prec@1 34.000 (37.918)	Prec@5 65.000 (68.748)
Epoch: [29][7110/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.4713 (2.5403)	Prec@1 38.000 (37.916)	Prec@5 71.000 (68.747)
Epoch: [29][7120/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7719 (2.5403)	Prec@1 33.500 (37.916)	Prec@5 62.500 (68.747)
Epoch: [29][7130/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.6622 (2.5403)	Prec@1 40.000 (37.916)	Prec@5 64.000 (68.746)
Epoch: [29][7140/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5011 (2.5402)	Prec@1 36.500 (37.919)	Prec@5 69.000 (68.748)
Epoch: [29][7150/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.7874 (2.5402)	Prec@1 35.500 (37.920)	Prec@5 64.000 (68.748)
Epoch: [29][7160/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6789 (2.5401)	Prec@1 35.000 (37.920)	Prec@5 65.500 (68.749)
Epoch: [29][7170/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6014 (2.5401)	Prec@1 41.500 (37.921)	Prec@5 66.500 (68.748)
Epoch: [29][7180/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4136 (2.5401)	Prec@1 38.000 (37.922)	Prec@5 71.500 (68.747)
Epoch: [29][7190/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.7435 (2.5401)	Prec@1 32.000 (37.923)	Prec@5 64.000 (68.748)
Epoch: [29][7200/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.5915 (2.5401)	Prec@1 37.500 (37.921)	Prec@5 70.000 (68.746)
Epoch: [29][7210/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6175 (2.5400)	Prec@1 33.500 (37.921)	Prec@5 67.000 (68.749)
Epoch: [29][7220/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5274 (2.5400)	Prec@1 34.500 (37.920)	Prec@5 68.000 (68.749)
Epoch: [29][7230/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.3438 (2.5399)	Prec@1 39.000 (37.921)	Prec@5 70.500 (68.751)
Epoch: [29][7240/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.4000 (2.5400)	Prec@1 36.500 (37.919)	Prec@5 72.500 (68.751)
Epoch: [29][7250/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.5093 (2.5399)	Prec@1 43.500 (37.920)	Prec@5 67.500 (68.750)
Epoch: [29][7260/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.6011 (2.5400)	Prec@1 37.500 (37.920)	Prec@5 65.000 (68.750)
Epoch: [29][7270/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6627 (2.5400)	Prec@1 34.000 (37.921)	Prec@5 66.000 (68.750)
Epoch: [29][7280/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.6324 (2.5401)	Prec@1 39.000 (37.920)	Prec@5 65.500 (68.748)
Epoch: [29][7290/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.3915 (2.5400)	Prec@1 41.000 (37.920)	Prec@5 70.500 (68.749)
Epoch: [29][7300/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5942 (2.5400)	Prec@1 38.000 (37.921)	Prec@5 64.500 (68.748)
Epoch: [29][7310/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5582 (2.5401)	Prec@1 36.500 (37.921)	Prec@5 67.500 (68.747)
Epoch: [29][7320/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5859 (2.5401)	Prec@1 35.500 (37.921)	Prec@5 70.500 (68.747)
Epoch: [29][7330/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.6624 (2.5401)	Prec@1 37.000 (37.921)	Prec@5 67.000 (68.748)
Epoch: [29][7340/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4524 (2.5401)	Prec@1 36.000 (37.923)	Prec@5 71.500 (68.748)
Epoch: [29][7350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.5404 (2.5400)	Prec@1 36.000 (37.923)	Prec@5 68.500 (68.747)
Epoch: [29][7360/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.4983 (2.5400)	Prec@1 36.500 (37.925)	Prec@5 66.500 (68.745)
Epoch: [29][7370/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3491 (2.5401)	Prec@1 41.500 (37.924)	Prec@5 74.500 (68.744)
Epoch: [29][7380/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6650 (2.5401)	Prec@1 34.000 (37.922)	Prec@5 65.500 (68.745)
Epoch: [29][7390/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4846 (2.5401)	Prec@1 36.500 (37.921)	Prec@5 69.500 (68.745)
Epoch: [29][7400/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.5651 (2.5401)	Prec@1 41.500 (37.921)	Prec@5 68.000 (68.744)
Epoch: [29][7410/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4529 (2.5401)	Prec@1 33.000 (37.920)	Prec@5 71.000 (68.742)
Epoch: [29][7420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4404 (2.5401)	Prec@1 40.000 (37.920)	Prec@5 71.000 (68.742)
Epoch: [29][7430/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1687 (2.5401)	Prec@1 45.500 (37.922)	Prec@5 80.000 (68.745)
Epoch: [29][7440/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.6040 (2.5401)	Prec@1 37.500 (37.921)	Prec@5 71.000 (68.745)
Epoch: [29][7450/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4046 (2.5401)	Prec@1 44.500 (37.922)	Prec@5 73.000 (68.745)
Epoch: [29][7460/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4439 (2.5401)	Prec@1 45.500 (37.925)	Prec@5 69.500 (68.746)
Epoch: [29][7470/9018]	Time 0.599 (0.615)	Data 0.003 (0.001)	Loss 2.3702 (2.5400)	Prec@1 42.000 (37.929)	Prec@5 71.500 (68.747)
Epoch: [29][7480/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.7775 (2.5401)	Prec@1 33.500 (37.928)	Prec@5 62.500 (68.745)
Epoch: [29][7490/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4020 (2.5401)	Prec@1 40.000 (37.927)	Prec@5 72.500 (68.744)
Epoch: [29][7500/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4349 (2.5401)	Prec@1 36.000 (37.928)	Prec@5 69.500 (68.744)
Epoch: [29][7510/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4148 (2.5402)	Prec@1 39.500 (37.928)	Prec@5 72.000 (68.743)
Epoch: [29][7520/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4076 (2.5402)	Prec@1 41.000 (37.926)	Prec@5 72.000 (68.742)
Epoch: [29][7530/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5633 (2.5403)	Prec@1 39.500 (37.926)	Prec@5 64.000 (68.741)
Epoch: [29][7540/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.6344 (2.5404)	Prec@1 36.000 (37.923)	Prec@5 64.500 (68.738)
Epoch: [29][7550/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.5696 (2.5404)	Prec@1 39.000 (37.921)	Prec@5 66.000 (68.737)
Epoch: [29][7560/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.7437 (2.5406)	Prec@1 35.500 (37.917)	Prec@5 65.500 (68.734)
Epoch: [29][7570/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4298 (2.5406)	Prec@1 38.500 (37.920)	Prec@5 73.000 (68.737)
Epoch: [29][7580/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6761 (2.5405)	Prec@1 37.000 (37.921)	Prec@5 67.000 (68.738)
Epoch: [29][7590/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3885 (2.5405)	Prec@1 41.000 (37.921)	Prec@5 71.000 (68.739)
Epoch: [29][7600/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4462 (2.5405)	Prec@1 39.000 (37.920)	Prec@5 71.000 (68.741)
Epoch: [29][7610/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.5435 (2.5406)	Prec@1 33.500 (37.917)	Prec@5 68.500 (68.739)
Epoch: [29][7620/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3414 (2.5406)	Prec@1 44.000 (37.916)	Prec@5 75.500 (68.740)
Epoch: [29][7630/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.3884 (2.5406)	Prec@1 39.000 (37.915)	Prec@5 74.000 (68.739)
Epoch: [29][7640/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.5882 (2.5406)	Prec@1 29.500 (37.913)	Prec@5 67.500 (68.737)
Epoch: [29][7650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2944 (2.5406)	Prec@1 43.000 (37.915)	Prec@5 74.500 (68.740)
Epoch: [29][7660/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6452 (2.5406)	Prec@1 38.000 (37.915)	Prec@5 65.000 (68.739)
Epoch: [29][7670/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.2743 (2.5406)	Prec@1 42.500 (37.916)	Prec@5 73.000 (68.738)
Epoch: [29][7680/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4984 (2.5407)	Prec@1 35.000 (37.913)	Prec@5 70.500 (68.736)
Epoch: [29][7690/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7273 (2.5406)	Prec@1 31.000 (37.914)	Prec@5 65.500 (68.738)
Epoch: [29][7700/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.3313 (2.5406)	Prec@1 42.500 (37.914)	Prec@5 72.000 (68.739)
Epoch: [29][7710/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.5251 (2.5407)	Prec@1 37.500 (37.912)	Prec@5 74.000 (68.736)
Epoch: [29][7720/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4917 (2.5406)	Prec@1 33.500 (37.912)	Prec@5 68.000 (68.737)
Epoch: [29][7730/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.5213 (2.5406)	Prec@1 36.500 (37.911)	Prec@5 68.500 (68.738)
Epoch: [29][7740/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.7650 (2.5407)	Prec@1 31.000 (37.910)	Prec@5 66.000 (68.739)
Epoch: [29][7750/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.6026 (2.5407)	Prec@1 41.000 (37.910)	Prec@5 64.000 (68.738)
Epoch: [29][7760/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.6860 (2.5407)	Prec@1 32.000 (37.910)	Prec@5 64.000 (68.739)
Epoch: [29][7770/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5057 (2.5406)	Prec@1 42.000 (37.912)	Prec@5 69.500 (68.740)
Epoch: [29][7780/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.4518 (2.5407)	Prec@1 41.500 (37.913)	Prec@5 70.500 (68.738)
Epoch: [29][7790/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.5001 (2.5407)	Prec@1 39.000 (37.913)	Prec@5 72.500 (68.737)
Epoch: [29][7800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.6480 (2.5408)	Prec@1 31.500 (37.909)	Prec@5 68.500 (68.737)
Epoch: [29][7810/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.4484 (2.5407)	Prec@1 40.000 (37.911)	Prec@5 72.500 (68.738)
Epoch: [29][7820/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.5688 (2.5407)	Prec@1 34.500 (37.911)	Prec@5 67.000 (68.739)
Epoch: [29][7830/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.4288 (2.5407)	Prec@1 40.500 (37.914)	Prec@5 73.500 (68.739)
Epoch: [29][7840/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5216 (2.5406)	Prec@1 32.500 (37.914)	Prec@5 66.500 (68.739)
Epoch: [29][7850/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5246 (2.5405)	Prec@1 39.000 (37.914)	Prec@5 66.500 (68.741)
Epoch: [29][7860/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4075 (2.5406)	Prec@1 41.500 (37.913)	Prec@5 69.500 (68.741)
Epoch: [29][7870/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6135 (2.5406)	Prec@1 34.000 (37.912)	Prec@5 70.500 (68.739)
Epoch: [29][7880/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3588 (2.5406)	Prec@1 36.500 (37.912)	Prec@5 72.000 (68.740)
Epoch: [29][7890/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.8456 (2.5407)	Prec@1 30.000 (37.910)	Prec@5 64.000 (68.738)
Epoch: [29][7900/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.3070 (2.5407)	Prec@1 42.500 (37.908)	Prec@5 71.000 (68.737)
Epoch: [29][7910/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5339 (2.5408)	Prec@1 42.500 (37.908)	Prec@5 70.000 (68.737)
Epoch: [29][7920/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3499 (2.5407)	Prec@1 40.500 (37.908)	Prec@5 70.000 (68.737)
Epoch: [29][7930/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.6697 (2.5408)	Prec@1 35.500 (37.906)	Prec@5 67.500 (68.735)
Epoch: [29][7940/9018]	Time 0.756 (0.615)	Data 0.001 (0.001)	Loss 2.4145 (2.5408)	Prec@1 39.500 (37.906)	Prec@5 70.500 (68.735)
Epoch: [29][7950/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6387 (2.5409)	Prec@1 36.500 (37.906)	Prec@5 67.500 (68.735)
Epoch: [29][7960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4975 (2.5408)	Prec@1 39.500 (37.909)	Prec@5 69.500 (68.737)
Epoch: [29][7970/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.4323 (2.5406)	Prec@1 39.000 (37.913)	Prec@5 72.000 (68.739)
Epoch: [29][7980/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.5646 (2.5406)	Prec@1 38.500 (37.915)	Prec@5 69.500 (68.741)
Epoch: [29][7990/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4515 (2.5406)	Prec@1 39.500 (37.914)	Prec@5 66.500 (68.740)
Epoch: [29][8000/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5239 (2.5405)	Prec@1 36.000 (37.913)	Prec@5 70.500 (68.742)
Epoch: [29][8010/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5123 (2.5405)	Prec@1 37.000 (37.914)	Prec@5 71.500 (68.743)
Epoch: [29][8020/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5697 (2.5405)	Prec@1 40.000 (37.915)	Prec@5 65.000 (68.741)
Epoch: [29][8030/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6596 (2.5405)	Prec@1 38.500 (37.917)	Prec@5 66.500 (68.742)
Epoch: [29][8040/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4138 (2.5406)	Prec@1 40.500 (37.915)	Prec@5 71.000 (68.740)
Epoch: [29][8050/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6888 (2.5407)	Prec@1 33.500 (37.913)	Prec@5 65.500 (68.738)
Epoch: [29][8060/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7220 (2.5407)	Prec@1 28.500 (37.911)	Prec@5 68.000 (68.737)
Epoch: [29][8070/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6181 (2.5407)	Prec@1 36.500 (37.910)	Prec@5 68.000 (68.738)
Epoch: [29][8080/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3598 (2.5407)	Prec@1 42.500 (37.913)	Prec@5 74.500 (68.739)
Epoch: [29][8090/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4188 (2.5406)	Prec@1 38.500 (37.915)	Prec@5 70.000 (68.740)
Epoch: [29][8100/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.6537 (2.5407)	Prec@1 37.000 (37.915)	Prec@5 65.000 (68.739)
Epoch: [29][8110/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.6358 (2.5406)	Prec@1 33.500 (37.915)	Prec@5 69.500 (68.740)
Epoch: [29][8120/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.4133 (2.5406)	Prec@1 38.000 (37.915)	Prec@5 73.500 (68.740)
Epoch: [29][8130/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5066 (2.5406)	Prec@1 39.000 (37.915)	Prec@5 67.000 (68.740)
Epoch: [29][8140/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6637 (2.5406)	Prec@1 36.500 (37.913)	Prec@5 64.000 (68.739)
Epoch: [29][8150/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3273 (2.5406)	Prec@1 39.000 (37.914)	Prec@5 73.500 (68.740)
Epoch: [29][8160/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4428 (2.5406)	Prec@1 39.000 (37.914)	Prec@5 72.500 (68.740)
Epoch: [29][8170/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4684 (2.5406)	Prec@1 43.000 (37.914)	Prec@5 68.000 (68.739)
Epoch: [29][8180/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5401 (2.5406)	Prec@1 37.500 (37.912)	Prec@5 70.500 (68.739)
Epoch: [29][8190/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.6885 (2.5406)	Prec@1 36.000 (37.912)	Prec@5 64.000 (68.740)
Epoch: [29][8200/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5168 (2.5405)	Prec@1 38.500 (37.913)	Prec@5 67.000 (68.741)
Epoch: [29][8210/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.6142 (2.5405)	Prec@1 39.500 (37.912)	Prec@5 68.000 (68.741)
Epoch: [29][8220/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 2.5442 (2.5406)	Prec@1 32.500 (37.909)	Prec@5 70.000 (68.740)
Epoch: [29][8230/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5585 (2.5406)	Prec@1 36.000 (37.908)	Prec@5 69.000 (68.740)
Epoch: [29][8240/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6429 (2.5406)	Prec@1 37.000 (37.908)	Prec@5 66.000 (68.739)
Epoch: [29][8250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3947 (2.5405)	Prec@1 41.000 (37.910)	Prec@5 72.500 (68.740)
Epoch: [29][8260/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3742 (2.5405)	Prec@1 42.000 (37.910)	Prec@5 68.000 (68.741)
Epoch: [29][8270/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.5156 (2.5405)	Prec@1 37.000 (37.909)	Prec@5 68.500 (68.739)
Epoch: [29][8280/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7968 (2.5406)	Prec@1 37.000 (37.906)	Prec@5 64.500 (68.738)
Epoch: [29][8290/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5599 (2.5406)	Prec@1 35.500 (37.904)	Prec@5 68.000 (68.736)
Epoch: [29][8300/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.6037 (2.5406)	Prec@1 36.500 (37.904)	Prec@5 69.500 (68.737)
Epoch: [29][8310/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3605 (2.5406)	Prec@1 43.000 (37.904)	Prec@5 73.000 (68.736)
Epoch: [29][8320/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.6576 (2.5407)	Prec@1 34.000 (37.904)	Prec@5 66.000 (68.736)
Epoch: [29][8330/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.6905 (2.5408)	Prec@1 39.500 (37.903)	Prec@5 65.000 (68.734)
Epoch: [29][8340/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5184 (2.5408)	Prec@1 38.500 (37.903)	Prec@5 67.500 (68.733)
Epoch: [29][8350/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4563 (2.5408)	Prec@1 39.500 (37.904)	Prec@5 69.500 (68.732)
Epoch: [29][8360/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.4058 (2.5408)	Prec@1 39.000 (37.903)	Prec@5 71.500 (68.733)
Epoch: [29][8370/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3263 (2.5408)	Prec@1 45.000 (37.905)	Prec@5 74.500 (68.733)
Epoch: [29][8380/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3574 (2.5408)	Prec@1 40.500 (37.905)	Prec@5 71.000 (68.733)
Epoch: [29][8390/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.7000 (2.5408)	Prec@1 36.500 (37.905)	Prec@5 64.000 (68.732)
Epoch: [29][8400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.7254 (2.5409)	Prec@1 33.000 (37.904)	Prec@5 64.500 (68.730)
Epoch: [29][8410/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.6150 (2.5408)	Prec@1 40.500 (37.906)	Prec@5 67.000 (68.731)
Epoch: [29][8420/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.7978 (2.5409)	Prec@1 30.000 (37.905)	Prec@5 64.500 (68.732)
Epoch: [29][8430/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.6637 (2.5408)	Prec@1 33.500 (37.903)	Prec@5 64.000 (68.732)
Epoch: [29][8440/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.6224 (2.5409)	Prec@1 36.500 (37.903)	Prec@5 65.500 (68.732)
Epoch: [29][8450/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4159 (2.5409)	Prec@1 41.000 (37.903)	Prec@5 71.000 (68.732)
Epoch: [29][8460/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.7335 (2.5409)	Prec@1 36.500 (37.902)	Prec@5 65.500 (68.733)
Epoch: [29][8470/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4583 (2.5408)	Prec@1 38.500 (37.902)	Prec@5 71.500 (68.734)
Epoch: [29][8480/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.7238 (2.5409)	Prec@1 32.000 (37.900)	Prec@5 67.000 (68.734)
Epoch: [29][8490/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3662 (2.5410)	Prec@1 40.000 (37.899)	Prec@5 70.500 (68.733)
Epoch: [29][8500/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5588 (2.5410)	Prec@1 39.000 (37.899)	Prec@5 68.500 (68.731)
Epoch: [29][8510/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6510 (2.5410)	Prec@1 34.000 (37.899)	Prec@5 70.000 (68.731)
Epoch: [29][8520/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2925 (2.5410)	Prec@1 39.000 (37.899)	Prec@5 74.500 (68.731)
Epoch: [29][8530/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.5508 (2.5410)	Prec@1 34.500 (37.898)	Prec@5 72.500 (68.731)
Epoch: [29][8540/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4755 (2.5410)	Prec@1 40.000 (37.898)	Prec@5 73.000 (68.731)
Epoch: [29][8550/9018]	Time 0.710 (0.615)	Data 0.001 (0.001)	Loss 2.5905 (2.5410)	Prec@1 36.000 (37.899)	Prec@5 64.500 (68.730)
Epoch: [29][8560/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.3926 (2.5410)	Prec@1 39.500 (37.900)	Prec@5 70.500 (68.730)
Epoch: [29][8570/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.7292 (2.5410)	Prec@1 34.500 (37.899)	Prec@5 69.500 (68.733)
Epoch: [29][8580/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.6319 (2.5409)	Prec@1 36.500 (37.900)	Prec@5 65.500 (68.732)
Epoch: [29][8590/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4813 (2.5408)	Prec@1 39.500 (37.902)	Prec@5 72.000 (68.734)
Epoch: [29][8600/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.4922 (2.5408)	Prec@1 37.500 (37.901)	Prec@5 68.000 (68.735)
Epoch: [29][8610/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4474 (2.5408)	Prec@1 40.500 (37.902)	Prec@5 71.000 (68.735)
Epoch: [29][8620/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.4294 (2.5407)	Prec@1 37.500 (37.905)	Prec@5 70.500 (68.738)
Epoch: [29][8630/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.4353 (2.5407)	Prec@1 38.500 (37.904)	Prec@5 72.500 (68.736)
Epoch: [29][8640/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4819 (2.5407)	Prec@1 37.000 (37.903)	Prec@5 71.000 (68.737)
Epoch: [29][8650/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.4910 (2.5408)	Prec@1 38.000 (37.903)	Prec@5 72.500 (68.736)
Epoch: [29][8660/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2933 (2.5407)	Prec@1 42.000 (37.903)	Prec@5 69.500 (68.734)
Epoch: [29][8670/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4949 (2.5407)	Prec@1 40.500 (37.904)	Prec@5 70.000 (68.736)
Epoch: [29][8680/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.6181 (2.5407)	Prec@1 36.000 (37.903)	Prec@5 65.500 (68.736)
Epoch: [29][8690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.6165 (2.5408)	Prec@1 38.500 (37.902)	Prec@5 65.000 (68.735)
Epoch: [29][8700/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.5070 (2.5409)	Prec@1 37.500 (37.900)	Prec@5 70.000 (68.735)
Epoch: [29][8710/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.4277 (2.5409)	Prec@1 39.500 (37.901)	Prec@5 71.500 (68.735)
Epoch: [29][8720/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4622 (2.5409)	Prec@1 39.000 (37.900)	Prec@5 72.000 (68.736)
Epoch: [29][8730/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.5092 (2.5409)	Prec@1 42.000 (37.900)	Prec@5 70.000 (68.735)
Epoch: [29][8740/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.5846 (2.5410)	Prec@1 38.000 (37.900)	Prec@5 68.500 (68.734)
Epoch: [29][8750/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.4232 (2.5409)	Prec@1 41.000 (37.899)	Prec@5 71.500 (68.735)
Epoch: [29][8760/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.7275 (2.5410)	Prec@1 34.000 (37.899)	Prec@5 62.000 (68.735)
Epoch: [29][8770/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.5128 (2.5409)	Prec@1 41.000 (37.898)	Prec@5 69.500 (68.736)
Epoch: [29][8780/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.5238 (2.5409)	Prec@1 36.000 (37.898)	Prec@5 70.500 (68.737)
Epoch: [29][8790/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.4660 (2.5408)	Prec@1 42.000 (37.900)	Prec@5 69.000 (68.739)
Epoch: [29][8800/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6242 (2.5408)	Prec@1 36.000 (37.900)	Prec@5 69.500 (68.740)
Epoch: [29][8810/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3852 (2.5409)	Prec@1 44.000 (37.900)	Prec@5 69.000 (68.738)
Epoch: [29][8820/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.5221 (2.5409)	Prec@1 40.000 (37.900)	Prec@5 67.500 (68.738)
Epoch: [29][8830/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.4906 (2.5410)	Prec@1 37.000 (37.898)	Prec@5 67.000 (68.738)
Epoch: [29][8840/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.3537 (2.5409)	Prec@1 40.000 (37.898)	Prec@5 71.000 (68.739)
Epoch: [29][8850/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5103 (2.5409)	Prec@1 35.500 (37.898)	Prec@5 70.000 (68.740)
Epoch: [29][8860/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.4860 (2.5408)	Prec@1 43.500 (37.898)	Prec@5 69.500 (68.740)
Epoch: [29][8870/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.4367 (2.5408)	Prec@1 41.000 (37.899)	Prec@5 71.000 (68.739)
Epoch: [29][8880/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 2.3231 (2.5408)	Prec@1 42.000 (37.900)	Prec@5 72.500 (68.740)
Epoch: [29][8890/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5995 (2.5409)	Prec@1 39.500 (37.900)	Prec@5 69.500 (68.740)
Epoch: [29][8900/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.9383 (2.5409)	Prec@1 32.500 (37.900)	Prec@5 60.000 (68.739)
Epoch: [29][8910/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.6467 (2.5409)	Prec@1 35.500 (37.900)	Prec@5 66.500 (68.739)
Epoch: [29][8920/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.7145 (2.5410)	Prec@1 35.500 (37.898)	Prec@5 68.500 (68.737)
Epoch: [29][8930/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.4639 (2.5410)	Prec@1 41.000 (37.898)	Prec@5 75.000 (68.738)
Epoch: [29][8940/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2161 (2.5410)	Prec@1 44.500 (37.898)	Prec@5 76.500 (68.738)
Epoch: [29][8950/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.6477 (2.5410)	Prec@1 35.000 (37.896)	Prec@5 65.000 (68.738)
Epoch: [29][8960/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.7266 (2.5410)	Prec@1 35.500 (37.897)	Prec@5 67.000 (68.738)
Epoch: [29][8970/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.6259 (2.5410)	Prec@1 39.000 (37.897)	Prec@5 71.500 (68.738)
Epoch: [29][8980/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3569 (2.5410)	Prec@1 40.500 (37.898)	Prec@5 71.500 (68.738)
Epoch: [29][8990/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.3652 (2.5409)	Prec@1 39.000 (37.899)	Prec@5 73.500 (68.738)
Epoch: [29][9000/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.5687 (2.5409)	Prec@1 37.000 (37.899)	Prec@5 65.500 (68.736)
Epoch: [29][9010/9018]	Time 0.600 (0.615)	Data 0.000 (0.001)	Loss 2.3758 (2.5408)	Prec@1 39.500 (37.899)	Prec@5 70.500 (68.739)
Test: [0/183]	Time 1.335 (1.335)	Loss 2.6973 (2.6973)	Prec@1 34.500 (34.500)	Prec@5 69.000 (69.000)
Test: [10/183]	Time 0.194 (0.307)	Loss 1.8057 (2.0546)	Prec@1 55.000 (47.364)	Prec@5 82.000 (79.773)
Test: [20/183]	Time 0.195 (0.259)	Loss 2.9056 (2.1575)	Prec@1 26.000 (44.619)	Prec@5 63.500 (77.452)
Test: [30/183]	Time 0.189 (0.239)	Loss 2.8911 (2.2479)	Prec@1 21.500 (41.742)	Prec@5 65.500 (76.000)
Test: [40/183]	Time 0.183 (0.227)	Loss 2.6568 (2.2552)	Prec@1 32.000 (42.146)	Prec@5 73.000 (75.256)
Test: [50/183]	Time 0.182 (0.220)	Loss 1.9134 (2.2288)	Prec@1 50.500 (43.020)	Prec@5 81.000 (75.451)
Test: [60/183]	Time 0.262 (0.217)	Loss 2.7008 (2.2967)	Prec@1 34.500 (41.213)	Prec@5 64.000 (74.254)
Test: [70/183]	Time 0.191 (0.214)	Loss 2.1791 (2.2944)	Prec@1 42.000 (40.746)	Prec@5 80.000 (74.542)
Test: [80/183]	Time 0.192 (0.211)	Loss 1.8727 (2.2670)	Prec@1 49.500 (41.704)	Prec@5 86.500 (74.802)
Test: [90/183]	Time 0.192 (0.210)	Loss 2.8927 (2.2693)	Prec@1 26.500 (41.582)	Prec@5 66.000 (74.786)
Test: [100/183]	Time 0.189 (0.209)	Loss 0.7849 (2.2529)	Prec@1 80.000 (42.064)	Prec@5 95.000 (74.955)
Test: [110/183]	Time 0.271 (0.208)	Loss 1.0942 (2.2355)	Prec@1 72.500 (42.410)	Prec@5 93.500 (75.234)
Test: [120/183]	Time 0.195 (0.207)	Loss 2.9116 (2.2336)	Prec@1 33.500 (42.219)	Prec@5 59.000 (75.438)
Test: [130/183]	Time 0.186 (0.206)	Loss 2.9706 (2.2234)	Prec@1 21.500 (42.435)	Prec@5 64.000 (75.733)
Test: [140/183]	Time 0.198 (0.205)	Loss 2.0091 (2.2152)	Prec@1 51.500 (42.691)	Prec@5 73.000 (75.883)
Test: [150/183]	Time 0.188 (0.205)	Loss 1.2231 (2.2149)	Prec@1 67.000 (42.652)	Prec@5 93.000 (75.894)
Test: [160/183]	Time 0.241 (0.204)	Loss 1.9115 (2.2066)	Prec@1 50.000 (43.037)	Prec@5 80.500 (75.997)
Test: [170/183]	Time 0.198 (0.203)	Loss 2.9893 (2.2202)	Prec@1 20.000 (42.713)	Prec@5 65.500 (75.655)
Test: [180/183]	Time 0.179 (0.203)	Loss 2.2519 (2.2195)	Prec@1 42.000 (42.831)	Prec@5 82.000 (75.613)
 * Prec@1 42.852 Prec@5 75.619
Epoch: [30][0/9018]	Time 3.122 (3.122)	Data 2.517 (2.517)	Loss 2.4731 (2.4731)	Prec@1 33.000 (33.000)	Prec@5 68.500 (68.500)
Epoch: [30][10/9018]	Time 0.761 (0.843)	Data 0.001 (0.229)	Loss 2.4526 (2.4936)	Prec@1 38.000 (38.318)	Prec@5 69.500 (70.000)
Epoch: [30][20/9018]	Time 0.586 (0.724)	Data 0.001 (0.121)	Loss 2.3858 (2.4700)	Prec@1 39.500 (39.286)	Prec@5 71.500 (70.429)
Epoch: [30][30/9018]	Time 0.592 (0.687)	Data 0.001 (0.082)	Loss 2.5719 (2.4925)	Prec@1 37.500 (39.081)	Prec@5 69.000 (69.935)
Epoch: [30][40/9018]	Time 0.602 (0.666)	Data 0.001 (0.062)	Loss 2.4905 (2.4717)	Prec@1 38.000 (39.463)	Prec@5 67.500 (70.341)
Epoch: [30][50/9018]	Time 0.608 (0.658)	Data 0.001 (0.050)	Loss 2.1973 (2.4629)	Prec@1 47.500 (39.637)	Prec@5 73.500 (70.529)
Epoch: [30][60/9018]	Time 0.606 (0.650)	Data 0.001 (0.042)	Loss 2.4975 (2.4531)	Prec@1 36.500 (39.746)	Prec@5 70.000 (70.631)
Epoch: [30][70/9018]	Time 0.603 (0.644)	Data 0.001 (0.036)	Loss 2.4836 (2.4401)	Prec@1 37.000 (39.993)	Prec@5 67.500 (70.803)
Epoch: [30][80/9018]	Time 0.609 (0.641)	Data 0.001 (0.032)	Loss 2.1190 (2.4246)	Prec@1 45.500 (40.136)	Prec@5 79.000 (71.241)
Epoch: [30][90/9018]	Time 0.603 (0.637)	Data 0.001 (0.028)	Loss 2.2865 (2.4118)	Prec@1 47.000 (40.440)	Prec@5 74.000 (71.412)
Epoch: [30][100/9018]	Time 0.594 (0.635)	Data 0.001 (0.026)	Loss 2.2387 (2.4017)	Prec@1 45.500 (40.683)	Prec@5 76.500 (71.579)
Epoch: [30][110/9018]	Time 0.602 (0.634)	Data 0.001 (0.023)	Loss 2.6023 (2.3976)	Prec@1 38.000 (40.680)	Prec@5 65.500 (71.586)
Epoch: [30][120/9018]	Time 0.601 (0.632)	Data 0.001 (0.022)	Loss 2.2979 (2.3921)	Prec@1 46.500 (40.789)	Prec@5 71.500 (71.636)
Epoch: [30][130/9018]	Time 0.601 (0.631)	Data 0.001 (0.020)	Loss 2.3117 (2.3891)	Prec@1 43.000 (40.824)	Prec@5 74.500 (71.672)
Epoch: [30][140/9018]	Time 0.598 (0.629)	Data 0.001 (0.019)	Loss 2.4225 (2.3836)	Prec@1 36.000 (40.794)	Prec@5 72.000 (71.770)
Epoch: [30][150/9018]	Time 0.596 (0.629)	Data 0.001 (0.017)	Loss 2.2460 (2.3785)	Prec@1 43.500 (40.987)	Prec@5 76.000 (71.901)
Epoch: [30][160/9018]	Time 0.607 (0.629)	Data 0.001 (0.016)	Loss 2.2125 (2.3709)	Prec@1 47.500 (41.096)	Prec@5 73.500 (72.043)
Epoch: [30][170/9018]	Time 0.612 (0.628)	Data 0.001 (0.015)	Loss 2.4475 (2.3661)	Prec@1 39.000 (41.173)	Prec@5 72.500 (72.158)
Epoch: [30][180/9018]	Time 0.623 (0.628)	Data 0.001 (0.015)	Loss 2.3322 (2.3652)	Prec@1 45.500 (41.240)	Prec@5 74.500 (72.155)
Epoch: [30][190/9018]	Time 0.600 (0.627)	Data 0.001 (0.014)	Loss 2.1847 (2.3603)	Prec@1 41.000 (41.322)	Prec@5 78.500 (72.272)
Epoch: [30][200/9018]	Time 0.622 (0.627)	Data 0.001 (0.013)	Loss 2.3775 (2.3570)	Prec@1 45.500 (41.415)	Prec@5 72.500 (72.383)
Epoch: [30][210/9018]	Time 0.627 (0.627)	Data 0.001 (0.013)	Loss 2.5043 (2.3552)	Prec@1 40.000 (41.505)	Prec@5 71.000 (72.450)
Epoch: [30][220/9018]	Time 0.608 (0.626)	Data 0.001 (0.012)	Loss 2.1787 (2.3555)	Prec@1 42.500 (41.543)	Prec@5 75.500 (72.452)
Epoch: [30][230/9018]	Time 0.604 (0.626)	Data 0.001 (0.012)	Loss 1.9793 (2.3534)	Prec@1 51.500 (41.541)	Prec@5 79.500 (72.511)
Epoch: [30][240/9018]	Time 0.621 (0.625)	Data 0.001 (0.011)	Loss 2.3987 (2.3506)	Prec@1 45.000 (41.606)	Prec@5 73.000 (72.564)
Epoch: [30][250/9018]	Time 0.624 (0.625)	Data 0.001 (0.011)	Loss 2.3808 (2.3521)	Prec@1 42.000 (41.598)	Prec@5 72.000 (72.526)
Epoch: [30][260/9018]	Time 0.618 (0.625)	Data 0.001 (0.010)	Loss 2.2287 (2.3479)	Prec@1 41.000 (41.634)	Prec@5 73.000 (72.613)
Epoch: [30][270/9018]	Time 0.623 (0.624)	Data 0.001 (0.010)	Loss 2.2265 (2.3459)	Prec@1 43.500 (41.668)	Prec@5 74.000 (72.624)
Epoch: [30][280/9018]	Time 0.594 (0.624)	Data 0.001 (0.010)	Loss 2.3092 (2.3446)	Prec@1 41.500 (41.728)	Prec@5 71.000 (72.662)
Epoch: [30][290/9018]	Time 0.726 (0.624)	Data 0.001 (0.009)	Loss 2.2383 (2.3429)	Prec@1 47.000 (41.784)	Prec@5 74.000 (72.665)
Epoch: [30][300/9018]	Time 0.608 (0.623)	Data 0.001 (0.009)	Loss 2.1383 (2.3427)	Prec@1 50.500 (41.826)	Prec@5 78.500 (72.646)
Epoch: [30][310/9018]	Time 0.625 (0.623)	Data 0.001 (0.009)	Loss 2.3425 (2.3404)	Prec@1 41.000 (41.915)	Prec@5 74.500 (72.662)
Epoch: [30][320/9018]	Time 0.620 (0.623)	Data 0.001 (0.009)	Loss 2.3265 (2.3393)	Prec@1 46.000 (41.947)	Prec@5 73.000 (72.643)
Epoch: [30][330/9018]	Time 0.597 (0.623)	Data 0.001 (0.008)	Loss 2.1387 (2.3373)	Prec@1 46.500 (41.982)	Prec@5 73.500 (72.696)
Epoch: [30][340/9018]	Time 0.724 (0.623)	Data 0.001 (0.008)	Loss 2.3138 (2.3369)	Prec@1 40.500 (41.974)	Prec@5 74.500 (72.694)
Epoch: [30][350/9018]	Time 0.600 (0.622)	Data 0.001 (0.008)	Loss 2.2004 (2.3350)	Prec@1 45.500 (42.010)	Prec@5 73.500 (72.707)
Epoch: [30][360/9018]	Time 0.594 (0.622)	Data 0.001 (0.008)	Loss 2.3137 (2.3341)	Prec@1 41.000 (42.029)	Prec@5 74.500 (72.729)
Epoch: [30][370/9018]	Time 0.599 (0.622)	Data 0.001 (0.008)	Loss 2.2994 (2.3326)	Prec@1 44.000 (42.080)	Prec@5 72.000 (72.768)
Epoch: [30][380/9018]	Time 0.594 (0.622)	Data 0.001 (0.007)	Loss 2.2930 (2.3288)	Prec@1 43.500 (42.173)	Prec@5 71.500 (72.841)
Epoch: [30][390/9018]	Time 0.598 (0.622)	Data 0.001 (0.007)	Loss 2.1057 (2.3265)	Prec@1 44.000 (42.257)	Prec@5 79.000 (72.889)
Epoch: [30][400/9018]	Time 0.599 (0.621)	Data 0.001 (0.007)	Loss 2.3318 (2.3255)	Prec@1 42.000 (42.287)	Prec@5 72.000 (72.884)
Epoch: [30][410/9018]	Time 0.605 (0.621)	Data 0.001 (0.007)	Loss 2.2867 (2.3257)	Prec@1 45.000 (42.271)	Prec@5 74.000 (72.880)
Epoch: [30][420/9018]	Time 0.610 (0.621)	Data 0.001 (0.007)	Loss 2.2381 (2.3229)	Prec@1 47.000 (42.334)	Prec@5 76.000 (72.950)
Epoch: [30][430/9018]	Time 0.599 (0.621)	Data 0.001 (0.007)	Loss 2.1828 (2.3223)	Prec@1 45.000 (42.319)	Prec@5 77.000 (72.957)
Epoch: [30][440/9018]	Time 0.607 (0.621)	Data 0.001 (0.006)	Loss 2.2065 (2.3223)	Prec@1 42.000 (42.319)	Prec@5 73.000 (72.937)
Epoch: [30][450/9018]	Time 0.600 (0.620)	Data 0.001 (0.006)	Loss 2.5068 (2.3216)	Prec@1 36.500 (42.327)	Prec@5 73.000 (72.942)
Epoch: [30][460/9018]	Time 0.602 (0.620)	Data 0.001 (0.006)	Loss 2.2774 (2.3189)	Prec@1 45.000 (42.394)	Prec@5 72.000 (72.989)
Epoch: [30][470/9018]	Time 0.600 (0.620)	Data 0.001 (0.006)	Loss 2.4898 (2.3177)	Prec@1 37.000 (42.387)	Prec@5 72.500 (73.001)
Epoch: [30][480/9018]	Time 0.598 (0.620)	Data 0.001 (0.006)	Loss 2.1784 (2.3157)	Prec@1 44.500 (42.403)	Prec@5 75.000 (73.025)
Epoch: [30][490/9018]	Time 0.631 (0.620)	Data 0.001 (0.006)	Loss 2.2063 (2.3153)	Prec@1 44.000 (42.438)	Prec@5 74.500 (73.026)
Epoch: [30][500/9018]	Time 0.599 (0.620)	Data 0.001 (0.006)	Loss 2.1409 (2.3133)	Prec@1 49.000 (42.486)	Prec@5 74.500 (73.053)
Epoch: [30][510/9018]	Time 0.613 (0.620)	Data 0.001 (0.006)	Loss 2.5733 (2.3112)	Prec@1 41.000 (42.554)	Prec@5 70.000 (73.087)
Epoch: [30][520/9018]	Time 0.614 (0.620)	Data 0.001 (0.006)	Loss 2.2061 (2.3102)	Prec@1 45.500 (42.544)	Prec@5 70.500 (73.104)
Epoch: [30][530/9018]	Time 0.607 (0.619)	Data 0.001 (0.006)	Loss 2.1216 (2.3088)	Prec@1 44.000 (42.556)	Prec@5 78.000 (73.117)
Epoch: [30][540/9018]	Time 0.598 (0.620)	Data 0.001 (0.005)	Loss 2.3296 (2.3083)	Prec@1 36.500 (42.557)	Prec@5 72.500 (73.128)
Epoch: [30][550/9018]	Time 0.593 (0.619)	Data 0.001 (0.005)	Loss 2.2207 (2.3079)	Prec@1 44.500 (42.565)	Prec@5 73.500 (73.132)
Epoch: [30][560/9018]	Time 0.597 (0.619)	Data 0.001 (0.005)	Loss 2.2199 (2.3061)	Prec@1 43.500 (42.621)	Prec@5 75.000 (73.162)
Epoch: [30][570/9018]	Time 0.633 (0.619)	Data 0.001 (0.005)	Loss 2.0406 (2.3054)	Prec@1 46.500 (42.609)	Prec@5 75.500 (73.172)
Epoch: [30][580/9018]	Time 0.632 (0.619)	Data 0.001 (0.005)	Loss 2.2418 (2.3045)	Prec@1 43.000 (42.617)	Prec@5 72.500 (73.185)
Epoch: [30][590/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 2.2206 (2.3032)	Prec@1 39.000 (42.613)	Prec@5 72.500 (73.202)
Epoch: [30][600/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 1.8634 (2.3019)	Prec@1 51.500 (42.649)	Prec@5 81.500 (73.226)
Epoch: [30][610/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 2.1606 (2.3008)	Prec@1 45.000 (42.676)	Prec@5 72.000 (73.237)
Epoch: [30][620/9018]	Time 0.730 (0.619)	Data 0.001 (0.005)	Loss 2.3832 (2.2998)	Prec@1 43.000 (42.692)	Prec@5 71.500 (73.264)
Epoch: [30][630/9018]	Time 0.615 (0.619)	Data 0.001 (0.005)	Loss 2.3019 (2.2986)	Prec@1 40.500 (42.713)	Prec@5 72.000 (73.279)
Epoch: [30][640/9018]	Time 0.596 (0.619)	Data 0.001 (0.005)	Loss 2.0663 (2.2967)	Prec@1 47.000 (42.769)	Prec@5 78.500 (73.324)
Epoch: [30][650/9018]	Time 0.591 (0.619)	Data 0.001 (0.005)	Loss 2.3104 (2.2965)	Prec@1 40.500 (42.758)	Prec@5 75.000 (73.319)
Epoch: [30][660/9018]	Time 0.604 (0.618)	Data 0.001 (0.005)	Loss 2.3275 (2.2963)	Prec@1 38.500 (42.759)	Prec@5 70.000 (73.314)
Epoch: [30][670/9018]	Time 0.739 (0.619)	Data 0.001 (0.005)	Loss 2.1980 (2.2944)	Prec@1 45.000 (42.778)	Prec@5 74.000 (73.341)
Epoch: [30][680/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 1.9752 (2.2930)	Prec@1 47.500 (42.798)	Prec@5 79.500 (73.370)
Epoch: [30][690/9018]	Time 0.625 (0.618)	Data 0.001 (0.004)	Loss 2.0881 (2.2906)	Prec@1 47.500 (42.848)	Prec@5 76.500 (73.410)
Epoch: [30][700/9018]	Time 0.589 (0.618)	Data 0.001 (0.004)	Loss 2.2680 (2.2889)	Prec@1 41.000 (42.872)	Prec@5 75.500 (73.432)
Epoch: [30][710/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 2.1589 (2.2884)	Prec@1 44.500 (42.885)	Prec@5 77.000 (73.433)
Epoch: [30][720/9018]	Time 0.622 (0.618)	Data 0.001 (0.004)	Loss 2.0288 (2.2865)	Prec@1 45.000 (42.928)	Prec@5 81.500 (73.452)
Epoch: [30][730/9018]	Time 0.630 (0.618)	Data 0.001 (0.004)	Loss 2.2647 (2.2853)	Prec@1 42.000 (42.947)	Prec@5 73.500 (73.479)
Epoch: [30][740/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 1.9889 (2.2837)	Prec@1 46.000 (42.982)	Prec@5 78.000 (73.506)
Epoch: [30][750/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.1341 (2.2837)	Prec@1 45.500 (42.992)	Prec@5 78.500 (73.517)
Epoch: [30][760/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 2.1724 (2.2838)	Prec@1 45.000 (42.997)	Prec@5 78.000 (73.518)
Epoch: [30][770/9018]	Time 0.611 (0.618)	Data 0.001 (0.004)	Loss 2.3832 (2.2829)	Prec@1 41.500 (43.004)	Prec@5 71.000 (73.546)
Epoch: [30][780/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 2.2822 (2.2827)	Prec@1 43.000 (43.016)	Prec@5 73.000 (73.551)
Epoch: [30][790/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 2.3955 (2.2820)	Prec@1 44.500 (43.028)	Prec@5 70.500 (73.547)
Epoch: [30][800/9018]	Time 0.622 (0.618)	Data 0.001 (0.004)	Loss 1.9548 (2.2813)	Prec@1 48.500 (43.053)	Prec@5 76.500 (73.567)
Epoch: [30][810/9018]	Time 0.612 (0.618)	Data 0.001 (0.004)	Loss 2.4557 (2.2817)	Prec@1 44.500 (43.048)	Prec@5 70.000 (73.568)
Epoch: [30][820/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.3168 (2.2811)	Prec@1 40.500 (43.057)	Prec@5 73.500 (73.572)
Epoch: [30][830/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 2.2704 (2.2804)	Prec@1 45.500 (43.072)	Prec@5 72.000 (73.584)
Epoch: [30][840/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 2.0230 (2.2789)	Prec@1 50.500 (43.100)	Prec@5 78.000 (73.612)
Epoch: [30][850/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.1288 (2.2783)	Prec@1 45.500 (43.123)	Prec@5 77.000 (73.628)
Epoch: [30][860/9018]	Time 0.632 (0.618)	Data 0.001 (0.004)	Loss 2.2398 (2.2781)	Prec@1 44.500 (43.128)	Prec@5 75.000 (73.642)
Epoch: [30][870/9018]	Time 0.633 (0.618)	Data 0.001 (0.004)	Loss 2.1664 (2.2775)	Prec@1 47.500 (43.146)	Prec@5 77.500 (73.649)
Epoch: [30][880/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.2851 (2.2767)	Prec@1 43.000 (43.166)	Prec@5 73.500 (73.660)
Epoch: [30][890/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 2.1983 (2.2762)	Prec@1 45.500 (43.190)	Prec@5 73.500 (73.655)
Epoch: [30][900/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 2.4879 (2.2757)	Prec@1 40.000 (43.203)	Prec@5 68.000 (73.666)
Epoch: [30][910/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 2.4516 (2.2756)	Prec@1 34.500 (43.199)	Prec@5 72.500 (73.671)
Epoch: [30][920/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 2.1980 (2.2750)	Prec@1 39.500 (43.211)	Prec@5 77.000 (73.694)
Epoch: [30][930/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 2.3841 (2.2751)	Prec@1 43.000 (43.207)	Prec@5 71.500 (73.695)
Epoch: [30][940/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 2.1492 (2.2746)	Prec@1 44.000 (43.215)	Prec@5 76.000 (73.702)
Epoch: [30][950/9018]	Time 0.731 (0.618)	Data 0.001 (0.003)	Loss 2.1206 (2.2741)	Prec@1 45.500 (43.226)	Prec@5 75.000 (73.713)
Epoch: [30][960/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.1562 (2.2740)	Prec@1 46.000 (43.228)	Prec@5 75.000 (73.712)
Epoch: [30][970/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.2075 (2.2736)	Prec@1 39.000 (43.230)	Prec@5 72.500 (73.704)
Epoch: [30][980/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.2951 (2.2735)	Prec@1 40.000 (43.217)	Prec@5 73.000 (73.702)
Epoch: [30][990/9018]	Time 0.636 (0.617)	Data 0.001 (0.003)	Loss 2.1787 (2.2722)	Prec@1 43.000 (43.229)	Prec@5 76.500 (73.737)
Epoch: [30][1000/9018]	Time 0.717 (0.617)	Data 0.001 (0.003)	Loss 2.4020 (2.2724)	Prec@1 40.500 (43.230)	Prec@5 70.000 (73.724)
Epoch: [30][1010/9018]	Time 0.592 (0.617)	Data 0.001 (0.003)	Loss 2.1239 (2.2713)	Prec@1 51.500 (43.262)	Prec@5 74.500 (73.752)
Epoch: [30][1020/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 2.1304 (2.2712)	Prec@1 47.500 (43.270)	Prec@5 75.000 (73.756)
Epoch: [30][1030/9018]	Time 0.633 (0.617)	Data 0.001 (0.003)	Loss 2.2016 (2.2712)	Prec@1 45.500 (43.252)	Prec@5 75.000 (73.759)
Epoch: [30][1040/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.2252 (2.2706)	Prec@1 45.500 (43.259)	Prec@5 72.500 (73.770)
Epoch: [30][1050/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.2015 (2.2707)	Prec@1 42.500 (43.251)	Prec@5 75.000 (73.773)
Epoch: [30][1060/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.0939 (2.2702)	Prec@1 46.500 (43.256)	Prec@5 75.000 (73.777)
Epoch: [30][1070/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 2.3237 (2.2699)	Prec@1 43.500 (43.259)	Prec@5 73.000 (73.779)
Epoch: [30][1080/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.1064 (2.2687)	Prec@1 44.500 (43.277)	Prec@5 76.500 (73.801)
Epoch: [30][1090/9018]	Time 0.592 (0.617)	Data 0.001 (0.003)	Loss 2.1732 (2.2681)	Prec@1 46.500 (43.280)	Prec@5 74.000 (73.809)
Epoch: [30][1100/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 2.2599 (2.2673)	Prec@1 44.500 (43.297)	Prec@5 72.500 (73.822)
Epoch: [30][1110/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.2762 (2.2664)	Prec@1 42.000 (43.316)	Prec@5 70.500 (73.834)
Epoch: [30][1120/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.2699 (2.2662)	Prec@1 44.000 (43.329)	Prec@5 75.500 (73.832)
Epoch: [30][1130/9018]	Time 0.628 (0.617)	Data 0.001 (0.003)	Loss 2.2054 (2.2667)	Prec@1 45.500 (43.319)	Prec@5 76.000 (73.833)
Epoch: [30][1140/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.2624 (2.2661)	Prec@1 41.000 (43.332)	Prec@5 76.000 (73.845)
Epoch: [30][1150/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.2826 (2.2650)	Prec@1 44.000 (43.351)	Prec@5 72.000 (73.868)
Epoch: [30][1160/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 2.1341 (2.2648)	Prec@1 46.500 (43.354)	Prec@5 78.500 (73.872)
Epoch: [30][1170/9018]	Time 0.631 (0.617)	Data 0.001 (0.003)	Loss 1.9690 (2.2641)	Prec@1 53.500 (43.363)	Prec@5 77.000 (73.885)
Epoch: [30][1180/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.1172 (2.2639)	Prec@1 45.500 (43.361)	Prec@5 73.000 (73.888)
Epoch: [30][1190/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.1535 (2.2635)	Prec@1 42.500 (43.366)	Prec@5 74.500 (73.888)
Epoch: [30][1200/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.1672 (2.2629)	Prec@1 47.500 (43.383)	Prec@5 77.000 (73.894)
Epoch: [30][1210/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.0090 (2.2621)	Prec@1 47.000 (43.395)	Prec@5 75.500 (73.905)
Epoch: [30][1220/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 2.1203 (2.2617)	Prec@1 45.500 (43.402)	Prec@5 77.500 (73.916)
Epoch: [30][1230/9018]	Time 0.636 (0.617)	Data 0.001 (0.003)	Loss 2.2690 (2.2615)	Prec@1 41.000 (43.407)	Prec@5 75.500 (73.916)
Epoch: [30][1240/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.0678 (2.2608)	Prec@1 46.500 (43.422)	Prec@5 76.000 (73.914)
Epoch: [30][1250/9018]	Time 0.622 (0.617)	Data 0.001 (0.003)	Loss 2.2460 (2.2603)	Prec@1 44.000 (43.434)	Prec@5 76.000 (73.916)
Epoch: [30][1260/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 2.2338 (2.2597)	Prec@1 41.000 (43.442)	Prec@5 78.500 (73.931)
Epoch: [30][1270/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.8652 (2.2591)	Prec@1 49.500 (43.441)	Prec@5 82.000 (73.943)
Epoch: [30][1280/9018]	Time 0.726 (0.617)	Data 0.001 (0.003)	Loss 2.3354 (2.2593)	Prec@1 40.000 (43.434)	Prec@5 71.000 (73.937)
Epoch: [30][1290/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.1028 (2.2584)	Prec@1 48.000 (43.458)	Prec@5 75.000 (73.951)
Epoch: [30][1300/9018]	Time 0.626 (0.617)	Data 0.001 (0.003)	Loss 2.2876 (2.2578)	Prec@1 42.500 (43.465)	Prec@5 73.000 (73.965)
Epoch: [30][1310/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 2.0411 (2.2574)	Prec@1 51.000 (43.470)	Prec@5 77.500 (73.971)
Epoch: [30][1320/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.1495 (2.2572)	Prec@1 45.000 (43.470)	Prec@5 75.000 (73.981)
Epoch: [30][1330/9018]	Time 0.752 (0.617)	Data 0.001 (0.003)	Loss 1.9205 (2.2563)	Prec@1 52.500 (43.477)	Prec@5 78.000 (73.995)
Epoch: [30][1340/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 2.0614 (2.2558)	Prec@1 46.000 (43.495)	Prec@5 78.000 (73.999)
Epoch: [30][1350/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.2115 (2.2548)	Prec@1 45.000 (43.521)	Prec@5 72.500 (74.011)
Epoch: [30][1360/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 2.1788 (2.2549)	Prec@1 44.500 (43.521)	Prec@5 76.000 (74.014)
Epoch: [30][1370/9018]	Time 0.628 (0.617)	Data 0.001 (0.003)	Loss 2.0442 (2.2544)	Prec@1 43.000 (43.538)	Prec@5 78.500 (74.021)
Epoch: [30][1380/9018]	Time 0.621 (0.617)	Data 0.001 (0.003)	Loss 2.3092 (2.2537)	Prec@1 40.000 (43.547)	Prec@5 70.000 (74.035)
Epoch: [30][1390/9018]	Time 0.612 (0.617)	Data 0.001 (0.003)	Loss 2.3167 (2.2532)	Prec@1 40.500 (43.554)	Prec@5 72.500 (74.041)
Epoch: [30][1400/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.2267 (2.2530)	Prec@1 47.500 (43.572)	Prec@5 73.000 (74.040)
Epoch: [30][1410/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 2.0041 (2.2526)	Prec@1 48.500 (43.581)	Prec@5 79.000 (74.047)
Epoch: [30][1420/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 2.2050 (2.2522)	Prec@1 45.000 (43.595)	Prec@5 77.500 (74.056)
Epoch: [30][1430/9018]	Time 0.618 (0.617)	Data 0.001 (0.003)	Loss 2.5091 (2.2518)	Prec@1 39.000 (43.606)	Prec@5 70.000 (74.074)
Epoch: [30][1440/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.1516 (2.2524)	Prec@1 47.500 (43.596)	Prec@5 73.000 (74.064)
Epoch: [30][1450/9018]	Time 0.618 (0.617)	Data 0.001 (0.003)	Loss 2.2713 (2.2522)	Prec@1 44.000 (43.594)	Prec@5 74.000 (74.067)
Epoch: [30][1460/9018]	Time 0.622 (0.617)	Data 0.001 (0.002)	Loss 2.3940 (2.2518)	Prec@1 37.500 (43.601)	Prec@5 73.000 (74.070)
Epoch: [30][1470/9018]	Time 0.618 (0.617)	Data 0.001 (0.002)	Loss 2.0756 (2.2512)	Prec@1 46.500 (43.618)	Prec@5 75.000 (74.083)
Epoch: [30][1480/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.2580 (2.2508)	Prec@1 42.500 (43.626)	Prec@5 72.500 (74.090)
Epoch: [30][1490/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.0281 (2.2498)	Prec@1 54.000 (43.649)	Prec@5 77.000 (74.107)
Epoch: [30][1500/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.2818 (2.2495)	Prec@1 41.000 (43.658)	Prec@5 70.000 (74.120)
Epoch: [30][1510/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.4012 (2.2497)	Prec@1 39.500 (43.659)	Prec@5 72.500 (74.116)
Epoch: [30][1520/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 2.1355 (2.2492)	Prec@1 44.000 (43.661)	Prec@5 76.000 (74.123)
Epoch: [30][1530/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 2.1934 (2.2487)	Prec@1 41.500 (43.669)	Prec@5 79.000 (74.137)
Epoch: [30][1540/9018]	Time 0.632 (0.617)	Data 0.001 (0.002)	Loss 2.2707 (2.2485)	Prec@1 44.500 (43.684)	Prec@5 75.000 (74.140)
Epoch: [30][1550/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.2463 (2.2484)	Prec@1 41.500 (43.678)	Prec@5 79.000 (74.141)
Epoch: [30][1560/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.1330 (2.2479)	Prec@1 44.500 (43.696)	Prec@5 76.000 (74.150)
Epoch: [30][1570/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.4922 (2.2479)	Prec@1 41.000 (43.688)	Prec@5 69.500 (74.150)
Epoch: [30][1580/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 2.2674 (2.2476)	Prec@1 42.500 (43.698)	Prec@5 74.500 (74.155)
Epoch: [30][1590/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.3274 (2.2474)	Prec@1 42.500 (43.696)	Prec@5 72.000 (74.156)
Epoch: [30][1600/9018]	Time 0.633 (0.617)	Data 0.001 (0.002)	Loss 2.1812 (2.2475)	Prec@1 43.000 (43.694)	Prec@5 74.000 (74.158)
Epoch: [30][1610/9018]	Time 0.723 (0.617)	Data 0.001 (0.002)	Loss 2.3751 (2.2474)	Prec@1 43.500 (43.704)	Prec@5 71.000 (74.159)
Epoch: [30][1620/9018]	Time 0.621 (0.617)	Data 0.001 (0.002)	Loss 2.2657 (2.2476)	Prec@1 42.500 (43.698)	Prec@5 75.500 (74.153)
Epoch: [30][1630/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.2307 (2.2479)	Prec@1 47.000 (43.696)	Prec@5 75.000 (74.147)
Epoch: [30][1640/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.2687 (2.2479)	Prec@1 39.000 (43.698)	Prec@5 74.000 (74.148)
Epoch: [30][1650/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.3608 (2.2480)	Prec@1 39.500 (43.693)	Prec@5 72.000 (74.147)
Epoch: [30][1660/9018]	Time 0.757 (0.617)	Data 0.001 (0.002)	Loss 2.2074 (2.2478)	Prec@1 44.500 (43.694)	Prec@5 74.500 (74.153)
Epoch: [30][1670/9018]	Time 0.619 (0.617)	Data 0.001 (0.002)	Loss 2.1947 (2.2476)	Prec@1 48.000 (43.700)	Prec@5 74.500 (74.160)
Epoch: [30][1680/9018]	Time 0.630 (0.617)	Data 0.001 (0.002)	Loss 1.9455 (2.2472)	Prec@1 50.000 (43.707)	Prec@5 77.500 (74.165)
Epoch: [30][1690/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.2859 (2.2469)	Prec@1 45.500 (43.713)	Prec@5 74.000 (74.163)
Epoch: [30][1700/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.2673 (2.2465)	Prec@1 45.500 (43.723)	Prec@5 74.500 (74.172)
Epoch: [30][1710/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 2.1094 (2.2465)	Prec@1 51.000 (43.723)	Prec@5 77.500 (74.177)
Epoch: [30][1720/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.1580 (2.2463)	Prec@1 46.500 (43.725)	Prec@5 73.500 (74.180)
Epoch: [30][1730/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.0883 (2.2459)	Prec@1 45.500 (43.736)	Prec@5 78.000 (74.192)
Epoch: [30][1740/9018]	Time 0.626 (0.617)	Data 0.001 (0.002)	Loss 2.2768 (2.2458)	Prec@1 42.000 (43.731)	Prec@5 72.500 (74.189)
Epoch: [30][1750/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.2207 (2.2454)	Prec@1 44.500 (43.745)	Prec@5 77.000 (74.191)
Epoch: [30][1760/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.1990 (2.2452)	Prec@1 47.500 (43.754)	Prec@5 75.000 (74.194)
Epoch: [30][1770/9018]	Time 0.620 (0.617)	Data 0.001 (0.002)	Loss 2.3394 (2.2453)	Prec@1 42.000 (43.751)	Prec@5 73.500 (74.198)
Epoch: [30][1780/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.1708 (2.2454)	Prec@1 47.000 (43.746)	Prec@5 77.500 (74.196)
Epoch: [30][1790/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.0691 (2.2449)	Prec@1 44.000 (43.750)	Prec@5 75.500 (74.210)
Epoch: [30][1800/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.0196 (2.2448)	Prec@1 47.000 (43.749)	Prec@5 79.500 (74.214)
Epoch: [30][1810/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.2115 (2.2448)	Prec@1 46.000 (43.749)	Prec@5 73.000 (74.215)
Epoch: [30][1820/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.4362 (2.2444)	Prec@1 39.000 (43.754)	Prec@5 69.000 (74.223)
Epoch: [30][1830/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.3113 (2.2440)	Prec@1 43.500 (43.761)	Prec@5 73.500 (74.232)
Epoch: [30][1840/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.0897 (2.2437)	Prec@1 52.000 (43.773)	Prec@5 78.500 (74.236)
Epoch: [30][1850/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.2531 (2.2432)	Prec@1 42.500 (43.774)	Prec@5 70.500 (74.244)
Epoch: [30][1860/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.0764 (2.2432)	Prec@1 47.000 (43.773)	Prec@5 79.000 (74.245)
Epoch: [30][1870/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.1717 (2.2429)	Prec@1 47.000 (43.784)	Prec@5 74.500 (74.255)
Epoch: [30][1880/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.2338 (2.2426)	Prec@1 46.000 (43.795)	Prec@5 75.500 (74.260)
Epoch: [30][1890/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 2.2885 (2.2422)	Prec@1 42.000 (43.800)	Prec@5 70.000 (74.269)
Epoch: [30][1900/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.2147 (2.2418)	Prec@1 43.000 (43.810)	Prec@5 74.000 (74.283)
Epoch: [30][1910/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.0605 (2.2415)	Prec@1 45.000 (43.813)	Prec@5 79.500 (74.287)
Epoch: [30][1920/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 2.3052 (2.2415)	Prec@1 41.500 (43.809)	Prec@5 73.500 (74.289)
Epoch: [30][1930/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.2882 (2.2414)	Prec@1 45.500 (43.821)	Prec@5 75.000 (74.292)
Epoch: [30][1940/9018]	Time 0.723 (0.617)	Data 0.001 (0.002)	Loss 2.1020 (2.2411)	Prec@1 47.000 (43.825)	Prec@5 76.000 (74.295)
Epoch: [30][1950/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.1221 (2.2406)	Prec@1 46.000 (43.841)	Prec@5 77.000 (74.308)
Epoch: [30][1960/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 1.9639 (2.2401)	Prec@1 48.000 (43.854)	Prec@5 80.000 (74.313)
Epoch: [30][1970/9018]	Time 0.622 (0.617)	Data 0.001 (0.002)	Loss 2.0877 (2.2399)	Prec@1 45.000 (43.856)	Prec@5 80.500 (74.319)
Epoch: [30][1980/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.2227 (2.2396)	Prec@1 43.500 (43.859)	Prec@5 76.000 (74.330)
Epoch: [30][1990/9018]	Time 0.733 (0.617)	Data 0.001 (0.002)	Loss 2.2346 (2.2394)	Prec@1 48.000 (43.868)	Prec@5 75.500 (74.335)
Epoch: [30][2000/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.0872 (2.2390)	Prec@1 44.000 (43.865)	Prec@5 77.500 (74.345)
Epoch: [30][2010/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.3285 (2.2387)	Prec@1 40.500 (43.873)	Prec@5 71.000 (74.349)
Epoch: [30][2020/9018]	Time 0.619 (0.617)	Data 0.001 (0.002)	Loss 2.2361 (2.2384)	Prec@1 45.500 (43.878)	Prec@5 73.000 (74.357)
Epoch: [30][2030/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.0468 (2.2380)	Prec@1 46.500 (43.888)	Prec@5 78.500 (74.361)
Epoch: [30][2040/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.2934 (2.2375)	Prec@1 43.500 (43.898)	Prec@5 75.000 (74.369)
Epoch: [30][2050/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.2282 (2.2376)	Prec@1 42.000 (43.898)	Prec@5 78.500 (74.364)
Epoch: [30][2060/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.2464 (2.2371)	Prec@1 40.000 (43.905)	Prec@5 75.500 (74.371)
Epoch: [30][2070/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.1790 (2.2372)	Prec@1 42.500 (43.900)	Prec@5 76.500 (74.374)
Epoch: [30][2080/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.2481 (2.2369)	Prec@1 39.500 (43.896)	Prec@5 74.500 (74.376)
Epoch: [30][2090/9018]	Time 0.631 (0.617)	Data 0.001 (0.002)	Loss 2.1088 (2.2368)	Prec@1 48.500 (43.901)	Prec@5 76.000 (74.377)
Epoch: [30][2100/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.1048 (2.2365)	Prec@1 44.500 (43.912)	Prec@5 79.500 (74.378)
Epoch: [30][2110/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.3236 (2.2362)	Prec@1 42.000 (43.922)	Prec@5 72.500 (74.383)
Epoch: [30][2120/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1348 (2.2361)	Prec@1 38.500 (43.917)	Prec@5 78.000 (74.381)
Epoch: [30][2130/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.2264 (2.2357)	Prec@1 46.000 (43.919)	Prec@5 74.000 (74.393)
Epoch: [30][2140/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.1434 (2.2356)	Prec@1 49.500 (43.925)	Prec@5 76.000 (74.392)
Epoch: [30][2150/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.1143 (2.2350)	Prec@1 47.500 (43.941)	Prec@5 76.500 (74.401)
Epoch: [30][2160/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.1965 (2.2348)	Prec@1 42.000 (43.943)	Prec@5 78.500 (74.402)
Epoch: [30][2170/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.3067 (2.2343)	Prec@1 43.500 (43.950)	Prec@5 71.500 (74.413)
Epoch: [30][2180/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.2231 (2.2340)	Prec@1 43.000 (43.953)	Prec@5 75.500 (74.414)
Epoch: [30][2190/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.1490 (2.2337)	Prec@1 43.500 (43.962)	Prec@5 78.500 (74.422)
Epoch: [30][2200/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.2293 (2.2333)	Prec@1 46.000 (43.970)	Prec@5 74.000 (74.430)
Epoch: [30][2210/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 1.9892 (2.2334)	Prec@1 50.000 (43.969)	Prec@5 75.500 (74.429)
Epoch: [30][2220/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0651 (2.2333)	Prec@1 47.000 (43.966)	Prec@5 74.000 (74.426)
Epoch: [30][2230/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.2166 (2.2332)	Prec@1 48.000 (43.970)	Prec@5 74.000 (74.427)
Epoch: [30][2240/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.1545 (2.2330)	Prec@1 46.500 (43.975)	Prec@5 76.500 (74.433)
Epoch: [30][2250/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.0091 (2.2325)	Prec@1 49.500 (43.984)	Prec@5 78.500 (74.440)
Epoch: [30][2260/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.2311 (2.2324)	Prec@1 46.500 (43.989)	Prec@5 75.000 (74.444)
Epoch: [30][2270/9018]	Time 0.696 (0.616)	Data 0.001 (0.002)	Loss 2.1261 (2.2323)	Prec@1 45.500 (43.986)	Prec@5 76.000 (74.448)
Epoch: [30][2280/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.2547 (2.2320)	Prec@1 42.000 (43.990)	Prec@5 74.000 (74.453)
Epoch: [30][2290/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.3361 (2.2318)	Prec@1 40.500 (43.994)	Prec@5 75.000 (74.462)
Epoch: [30][2300/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.2554 (2.2317)	Prec@1 45.500 (43.998)	Prec@5 71.500 (74.461)
Epoch: [30][2310/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.1801 (2.2314)	Prec@1 46.000 (43.999)	Prec@5 75.000 (74.466)
Epoch: [30][2320/9018]	Time 0.727 (0.616)	Data 0.001 (0.002)	Loss 2.3801 (2.2312)	Prec@1 39.500 (44.003)	Prec@5 74.000 (74.468)
Epoch: [30][2330/9018]	Time 0.637 (0.616)	Data 0.001 (0.002)	Loss 2.4165 (2.2310)	Prec@1 41.000 (44.007)	Prec@5 70.500 (74.474)
Epoch: [30][2340/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0092 (2.2308)	Prec@1 47.500 (44.006)	Prec@5 77.000 (74.481)
Epoch: [30][2350/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.1805 (2.2306)	Prec@1 48.000 (44.010)	Prec@5 75.000 (74.487)
Epoch: [30][2360/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.3856 (2.2302)	Prec@1 36.000 (44.011)	Prec@5 67.000 (74.494)
Epoch: [30][2370/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.3533 (2.2301)	Prec@1 42.500 (44.009)	Prec@5 72.500 (74.495)
Epoch: [30][2380/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.2721 (2.2300)	Prec@1 39.500 (44.001)	Prec@5 69.500 (74.493)
Epoch: [30][2390/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1572 (2.2298)	Prec@1 44.500 (44.001)	Prec@5 74.500 (74.493)
Epoch: [30][2400/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.3149 (2.2296)	Prec@1 45.000 (44.010)	Prec@5 73.000 (74.494)
Epoch: [30][2410/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.1769 (2.2295)	Prec@1 46.000 (44.012)	Prec@5 76.500 (74.497)
Epoch: [30][2420/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.2518 (2.2293)	Prec@1 45.500 (44.017)	Prec@5 74.000 (74.503)
Epoch: [30][2430/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1284 (2.2291)	Prec@1 43.500 (44.015)	Prec@5 74.000 (74.503)
Epoch: [30][2440/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4218 (2.2294)	Prec@1 41.000 (44.008)	Prec@5 73.500 (74.496)
Epoch: [30][2450/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 2.1597 (2.2293)	Prec@1 44.000 (44.012)	Prec@5 77.000 (74.500)
Epoch: [30][2460/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.3869 (2.2292)	Prec@1 38.500 (44.014)	Prec@5 69.500 (74.506)
Epoch: [30][2470/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.2561 (2.2289)	Prec@1 43.000 (44.017)	Prec@5 71.000 (74.511)
Epoch: [30][2480/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3241 (2.2285)	Prec@1 42.500 (44.028)	Prec@5 71.500 (74.518)
Epoch: [30][2490/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1859 (2.2284)	Prec@1 44.500 (44.032)	Prec@5 74.500 (74.525)
Epoch: [30][2500/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1350 (2.2284)	Prec@1 44.000 (44.033)	Prec@5 73.500 (74.524)
Epoch: [30][2510/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.2561 (2.2285)	Prec@1 40.500 (44.031)	Prec@5 72.000 (74.522)
Epoch: [30][2520/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0880 (2.2282)	Prec@1 47.500 (44.036)	Prec@5 75.000 (74.524)
Epoch: [30][2530/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.1794 (2.2278)	Prec@1 41.500 (44.044)	Prec@5 73.500 (74.532)
Epoch: [30][2540/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.0650 (2.2279)	Prec@1 45.500 (44.046)	Prec@5 76.000 (74.532)
Epoch: [30][2550/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.2592 (2.2279)	Prec@1 42.000 (44.040)	Prec@5 77.000 (74.533)
Epoch: [30][2560/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.3625 (2.2277)	Prec@1 43.000 (44.040)	Prec@5 71.500 (74.534)
Epoch: [30][2570/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.9057 (2.2274)	Prec@1 48.000 (44.043)	Prec@5 82.500 (74.545)
Epoch: [30][2580/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.1335 (2.2272)	Prec@1 44.500 (44.045)	Prec@5 76.000 (74.549)
Epoch: [30][2590/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.2808 (2.2271)	Prec@1 41.500 (44.041)	Prec@5 74.500 (74.551)
Epoch: [30][2600/9018]	Time 0.745 (0.616)	Data 0.001 (0.002)	Loss 2.0443 (2.2270)	Prec@1 46.500 (44.046)	Prec@5 80.000 (74.555)
Epoch: [30][2610/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 1.8652 (2.2270)	Prec@1 49.500 (44.050)	Prec@5 78.500 (74.554)
Epoch: [30][2620/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.9931 (2.2267)	Prec@1 48.500 (44.053)	Prec@5 76.500 (74.556)
Epoch: [30][2630/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.0785 (2.2264)	Prec@1 44.500 (44.058)	Prec@5 74.000 (74.558)
Epoch: [30][2640/9018]	Time 0.643 (0.616)	Data 0.001 (0.002)	Loss 2.2136 (2.2259)	Prec@1 44.500 (44.065)	Prec@5 74.000 (74.570)
Epoch: [30][2650/9018]	Time 0.713 (0.616)	Data 0.001 (0.002)	Loss 2.1003 (2.2260)	Prec@1 46.000 (44.070)	Prec@5 75.500 (74.569)
Epoch: [30][2660/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1936 (2.2257)	Prec@1 44.000 (44.073)	Prec@5 77.000 (74.576)
Epoch: [30][2670/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.2418 (2.2253)	Prec@1 41.500 (44.078)	Prec@5 76.500 (74.587)
Epoch: [30][2680/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.2440 (2.2249)	Prec@1 46.000 (44.081)	Prec@5 73.500 (74.594)
Epoch: [30][2690/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.0038 (2.2247)	Prec@1 48.000 (44.085)	Prec@5 79.000 (74.598)
Epoch: [30][2700/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.1419 (2.2245)	Prec@1 46.500 (44.088)	Prec@5 77.500 (74.602)
Epoch: [30][2710/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.3557 (2.2245)	Prec@1 39.500 (44.082)	Prec@5 71.000 (74.605)
Epoch: [30][2720/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1933 (2.2243)	Prec@1 46.500 (44.084)	Prec@5 78.000 (74.612)
Epoch: [30][2730/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.0241 (2.2241)	Prec@1 41.500 (44.077)	Prec@5 80.500 (74.618)
Epoch: [30][2740/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.7850 (2.2238)	Prec@1 51.000 (44.084)	Prec@5 82.000 (74.621)
Epoch: [30][2750/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.1346 (2.2235)	Prec@1 41.500 (44.085)	Prec@5 80.500 (74.627)
Epoch: [30][2760/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0687 (2.2232)	Prec@1 49.500 (44.093)	Prec@5 76.500 (74.636)
Epoch: [30][2770/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.3007 (2.2229)	Prec@1 41.500 (44.094)	Prec@5 71.000 (74.639)
Epoch: [30][2780/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.1297 (2.2229)	Prec@1 47.000 (44.102)	Prec@5 75.500 (74.640)
Epoch: [30][2790/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0613 (2.2229)	Prec@1 46.500 (44.106)	Prec@5 75.000 (74.635)
Epoch: [30][2800/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.3401 (2.2228)	Prec@1 47.500 (44.111)	Prec@5 74.500 (74.640)
Epoch: [30][2810/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.2427 (2.2228)	Prec@1 44.000 (44.114)	Prec@5 75.000 (74.638)
Epoch: [30][2820/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 1.9778 (2.2225)	Prec@1 51.500 (44.123)	Prec@5 78.000 (74.646)
Epoch: [30][2830/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1574 (2.2221)	Prec@1 42.500 (44.129)	Prec@5 74.000 (74.653)
Epoch: [30][2840/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.1040 (2.2220)	Prec@1 54.000 (44.129)	Prec@5 72.000 (74.653)
Epoch: [30][2850/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.1270 (2.2217)	Prec@1 48.000 (44.134)	Prec@5 74.500 (74.659)
Epoch: [30][2860/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.1769 (2.2215)	Prec@1 46.000 (44.141)	Prec@5 76.000 (74.660)
Epoch: [30][2870/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2191 (2.2211)	Prec@1 42.500 (44.147)	Prec@5 75.500 (74.667)
Epoch: [30][2880/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.0657 (2.2210)	Prec@1 46.500 (44.150)	Prec@5 76.000 (74.670)
Epoch: [30][2890/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.1426 (2.2208)	Prec@1 41.000 (44.149)	Prec@5 76.000 (74.670)
Epoch: [30][2900/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1156 (2.2204)	Prec@1 44.000 (44.158)	Prec@5 74.500 (74.676)
Epoch: [30][2910/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9402 (2.2202)	Prec@1 49.500 (44.162)	Prec@5 79.000 (74.682)
Epoch: [30][2920/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.0819 (2.2198)	Prec@1 41.500 (44.167)	Prec@5 80.500 (74.692)
Epoch: [30][2930/9018]	Time 0.714 (0.616)	Data 0.001 (0.002)	Loss 2.1841 (2.2196)	Prec@1 42.000 (44.170)	Prec@5 75.000 (74.696)
Epoch: [30][2940/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.0757 (2.2196)	Prec@1 47.000 (44.171)	Prec@5 80.000 (74.697)
Epoch: [30][2950/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 1.9450 (2.2194)	Prec@1 47.000 (44.172)	Prec@5 78.000 (74.699)
Epoch: [30][2960/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.0791 (2.2191)	Prec@1 43.000 (44.170)	Prec@5 78.000 (74.705)
Epoch: [30][2970/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1559 (2.2187)	Prec@1 50.000 (44.181)	Prec@5 75.000 (74.715)
Epoch: [30][2980/9018]	Time 0.763 (0.616)	Data 0.001 (0.002)	Loss 2.4686 (2.2186)	Prec@1 41.000 (44.186)	Prec@5 73.500 (74.717)
Epoch: [30][2990/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.2403 (2.2186)	Prec@1 46.000 (44.187)	Prec@5 74.500 (74.714)
Epoch: [30][3000/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.4819 (2.2187)	Prec@1 37.500 (44.186)	Prec@5 70.000 (74.712)
Epoch: [30][3010/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.3829 (2.2186)	Prec@1 40.000 (44.188)	Prec@5 73.000 (74.715)
Epoch: [30][3020/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.2207 (2.2186)	Prec@1 41.500 (44.185)	Prec@5 74.000 (74.712)
Epoch: [30][3030/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2429 (2.2185)	Prec@1 43.500 (44.187)	Prec@5 74.500 (74.713)
Epoch: [30][3040/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.1412 (2.2185)	Prec@1 45.500 (44.189)	Prec@5 79.000 (74.713)
Epoch: [30][3050/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.1093 (2.2180)	Prec@1 50.500 (44.199)	Prec@5 75.500 (74.721)
Epoch: [30][3060/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 2.4231 (2.2181)	Prec@1 40.000 (44.197)	Prec@5 68.500 (74.719)
Epoch: [30][3070/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2287 (2.2179)	Prec@1 44.000 (44.200)	Prec@5 71.000 (74.721)
Epoch: [30][3080/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.6505 (2.2172)	Prec@1 53.500 (44.213)	Prec@5 84.500 (74.734)
Epoch: [30][3090/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.0407 (2.2171)	Prec@1 47.000 (44.218)	Prec@5 77.000 (74.739)
Epoch: [30][3100/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.2766 (2.2169)	Prec@1 39.000 (44.218)	Prec@5 75.500 (74.744)
Epoch: [30][3110/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.1838 (2.2165)	Prec@1 43.500 (44.228)	Prec@5 76.500 (74.752)
Epoch: [30][3120/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.9857 (2.2162)	Prec@1 50.000 (44.236)	Prec@5 79.000 (74.757)
Epoch: [30][3130/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.0138 (2.2158)	Prec@1 45.500 (44.241)	Prec@5 76.500 (74.763)
Epoch: [30][3140/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.0506 (2.2156)	Prec@1 46.500 (44.244)	Prec@5 75.000 (74.766)
Epoch: [30][3150/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.1615 (2.2153)	Prec@1 44.500 (44.254)	Prec@5 72.000 (74.771)
Epoch: [30][3160/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.2089 (2.2152)	Prec@1 41.000 (44.252)	Prec@5 74.000 (74.770)
Epoch: [30][3170/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9143 (2.2151)	Prec@1 53.500 (44.254)	Prec@5 80.000 (74.773)
Epoch: [30][3180/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.1703 (2.2150)	Prec@1 36.500 (44.251)	Prec@5 75.500 (74.776)
Epoch: [30][3190/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.0728 (2.2147)	Prec@1 47.000 (44.253)	Prec@5 79.000 (74.782)
Epoch: [30][3200/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.4368 (2.2146)	Prec@1 42.000 (44.256)	Prec@5 64.500 (74.778)
Epoch: [30][3210/9018]	Time 0.782 (0.616)	Data 0.001 (0.002)	Loss 2.0860 (2.2144)	Prec@1 45.500 (44.260)	Prec@5 78.000 (74.777)
Epoch: [30][3220/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.0282 (2.2142)	Prec@1 45.500 (44.263)	Prec@5 78.500 (74.785)
Epoch: [30][3230/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.0307 (2.2141)	Prec@1 47.000 (44.266)	Prec@5 80.000 (74.790)
Epoch: [30][3240/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.2563 (2.2139)	Prec@1 40.000 (44.271)	Prec@5 76.500 (74.793)
Epoch: [30][3250/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.2500 (2.2139)	Prec@1 42.000 (44.273)	Prec@5 72.500 (74.795)
Epoch: [30][3260/9018]	Time 0.733 (0.616)	Data 0.001 (0.002)	Loss 2.0836 (2.2137)	Prec@1 43.000 (44.274)	Prec@5 78.500 (74.798)
Epoch: [30][3270/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1735 (2.2134)	Prec@1 46.500 (44.277)	Prec@5 75.500 (74.800)
Epoch: [30][3280/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.5294 (2.2134)	Prec@1 39.000 (44.278)	Prec@5 70.000 (74.802)
Epoch: [30][3290/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.1488 (2.2129)	Prec@1 44.500 (44.286)	Prec@5 78.500 (74.814)
Epoch: [30][3300/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0159 (2.2129)	Prec@1 48.000 (44.286)	Prec@5 76.500 (74.813)
Epoch: [30][3310/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.1373 (2.2127)	Prec@1 43.000 (44.284)	Prec@5 74.000 (74.816)
Epoch: [30][3320/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.9613 (2.2125)	Prec@1 52.000 (44.288)	Prec@5 79.500 (74.819)
Epoch: [30][3330/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.1719 (2.2125)	Prec@1 45.000 (44.290)	Prec@5 80.000 (74.821)
Epoch: [30][3340/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.0572 (2.2124)	Prec@1 45.500 (44.289)	Prec@5 78.000 (74.820)
Epoch: [30][3350/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.1615 (2.2126)	Prec@1 50.500 (44.284)	Prec@5 75.500 (74.820)
Epoch: [30][3360/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.3148 (2.2126)	Prec@1 41.500 (44.286)	Prec@5 74.500 (74.818)
Epoch: [30][3370/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.2472 (2.2125)	Prec@1 42.000 (44.286)	Prec@5 74.000 (74.820)
Epoch: [30][3380/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.0032 (2.2125)	Prec@1 47.000 (44.287)	Prec@5 79.000 (74.819)
Epoch: [30][3390/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.2884 (2.2125)	Prec@1 38.000 (44.283)	Prec@5 78.000 (74.822)
Epoch: [30][3400/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.1996 (2.2125)	Prec@1 45.500 (44.287)	Prec@5 75.000 (74.822)
Epoch: [30][3410/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.1711 (2.2123)	Prec@1 47.500 (44.294)	Prec@5 73.500 (74.822)
Epoch: [30][3420/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.0582 (2.2122)	Prec@1 46.000 (44.295)	Prec@5 77.000 (74.826)
Epoch: [30][3430/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1275 (2.2119)	Prec@1 45.500 (44.299)	Prec@5 75.000 (74.829)
Epoch: [30][3440/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.0368 (2.2117)	Prec@1 50.000 (44.306)	Prec@5 75.500 (74.835)
Epoch: [30][3450/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0559 (2.2116)	Prec@1 46.000 (44.307)	Prec@5 76.000 (74.837)
Epoch: [30][3460/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.9488 (2.2114)	Prec@1 53.000 (44.312)	Prec@5 81.000 (74.843)
Epoch: [30][3470/9018]	Time 0.638 (0.616)	Data 0.001 (0.001)	Loss 2.1432 (2.2113)	Prec@1 46.500 (44.312)	Prec@5 76.000 (74.843)
Epoch: [30][3480/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.3111 (2.2112)	Prec@1 43.000 (44.313)	Prec@5 73.000 (74.843)
Epoch: [30][3490/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1633 (2.2110)	Prec@1 43.500 (44.318)	Prec@5 73.500 (74.847)
Epoch: [30][3500/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.2680 (2.2107)	Prec@1 39.000 (44.321)	Prec@5 74.000 (74.852)
Epoch: [30][3510/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.3744 (2.2106)	Prec@1 39.000 (44.323)	Prec@5 71.000 (74.854)
Epoch: [30][3520/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0890 (2.2104)	Prec@1 48.500 (44.327)	Prec@5 73.000 (74.857)
Epoch: [30][3530/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.1487 (2.2103)	Prec@1 45.500 (44.328)	Prec@5 76.500 (74.862)
Epoch: [30][3540/9018]	Time 0.733 (0.616)	Data 0.001 (0.001)	Loss 1.9465 (2.2101)	Prec@1 46.000 (44.331)	Prec@5 81.000 (74.864)
Epoch: [30][3550/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.3853 (2.2102)	Prec@1 40.500 (44.330)	Prec@5 75.500 (74.863)
Epoch: [30][3560/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.2273 (2.2100)	Prec@1 48.500 (44.337)	Prec@5 76.500 (74.870)
Epoch: [30][3570/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1288 (2.2099)	Prec@1 46.000 (44.337)	Prec@5 73.500 (74.871)
Epoch: [30][3580/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.4056 (2.2099)	Prec@1 43.000 (44.339)	Prec@5 74.500 (74.872)
Epoch: [30][3590/9018]	Time 0.722 (0.616)	Data 0.001 (0.001)	Loss 2.2173 (2.2096)	Prec@1 44.500 (44.345)	Prec@5 77.000 (74.877)
Epoch: [30][3600/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.2285 (2.2096)	Prec@1 40.000 (44.341)	Prec@5 75.000 (74.881)
Epoch: [30][3610/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0722 (2.2096)	Prec@1 48.000 (44.347)	Prec@5 80.000 (74.881)
Epoch: [30][3620/9018]	Time 0.635 (0.616)	Data 0.001 (0.001)	Loss 1.9296 (2.2093)	Prec@1 48.500 (44.351)	Prec@5 79.000 (74.887)
Epoch: [30][3630/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0464 (2.2090)	Prec@1 51.500 (44.357)	Prec@5 75.500 (74.893)
Epoch: [30][3640/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.1195 (2.2088)	Prec@1 47.000 (44.359)	Prec@5 76.000 (74.897)
Epoch: [30][3650/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.0795 (2.2087)	Prec@1 48.500 (44.360)	Prec@5 77.000 (74.899)
Epoch: [30][3660/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.2859 (2.2085)	Prec@1 45.000 (44.365)	Prec@5 72.500 (74.904)
Epoch: [30][3670/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.2914 (2.2085)	Prec@1 43.000 (44.362)	Prec@5 74.500 (74.905)
Epoch: [30][3680/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 1.9516 (2.2081)	Prec@1 49.500 (44.368)	Prec@5 79.500 (74.911)
Epoch: [30][3690/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.3343 (2.2080)	Prec@1 40.000 (44.366)	Prec@5 73.000 (74.914)
Epoch: [30][3700/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.2316 (2.2078)	Prec@1 47.000 (44.372)	Prec@5 72.000 (74.920)
Epoch: [30][3710/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1607 (2.2077)	Prec@1 46.000 (44.375)	Prec@5 76.500 (74.921)
Epoch: [30][3720/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.1962 (2.2075)	Prec@1 43.500 (44.377)	Prec@5 77.000 (74.924)
Epoch: [30][3730/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.0975 (2.2074)	Prec@1 46.000 (44.380)	Prec@5 78.500 (74.928)
Epoch: [30][3740/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.0192 (2.2073)	Prec@1 52.000 (44.382)	Prec@5 75.500 (74.928)
Epoch: [30][3750/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.2217 (2.2073)	Prec@1 44.500 (44.379)	Prec@5 77.000 (74.931)
Epoch: [30][3760/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.1262 (2.2070)	Prec@1 44.500 (44.381)	Prec@5 77.500 (74.936)
Epoch: [30][3770/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.2023 (2.2069)	Prec@1 45.500 (44.383)	Prec@5 74.500 (74.939)
Epoch: [30][3780/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0165 (2.2066)	Prec@1 42.500 (44.387)	Prec@5 82.000 (74.943)
Epoch: [30][3790/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.0325 (2.2064)	Prec@1 48.000 (44.393)	Prec@5 78.500 (74.944)
Epoch: [30][3800/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.2974 (2.2064)	Prec@1 43.500 (44.392)	Prec@5 77.000 (74.943)
Epoch: [30][3810/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1902 (2.2063)	Prec@1 47.500 (44.393)	Prec@5 76.000 (74.946)
Epoch: [30][3820/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.3412 (2.2061)	Prec@1 38.500 (44.397)	Prec@5 73.000 (74.951)
Epoch: [30][3830/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.1267 (2.2059)	Prec@1 45.000 (44.397)	Prec@5 76.500 (74.952)
Epoch: [30][3840/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0939 (2.2058)	Prec@1 51.500 (44.402)	Prec@5 76.500 (74.954)
Epoch: [30][3850/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1681 (2.2057)	Prec@1 44.500 (44.402)	Prec@5 74.500 (74.955)
Epoch: [30][3860/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.1935 (2.2058)	Prec@1 46.000 (44.401)	Prec@5 72.000 (74.953)
Epoch: [30][3870/9018]	Time 0.724 (0.616)	Data 0.001 (0.001)	Loss 2.0107 (2.2056)	Prec@1 50.500 (44.404)	Prec@5 81.500 (74.958)
Epoch: [30][3880/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.2746 (2.2057)	Prec@1 43.000 (44.404)	Prec@5 74.000 (74.957)
Epoch: [30][3890/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.1170 (2.2054)	Prec@1 47.500 (44.413)	Prec@5 78.000 (74.965)
Epoch: [30][3900/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1997 (2.2053)	Prec@1 41.000 (44.413)	Prec@5 72.000 (74.967)
Epoch: [30][3910/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.1200 (2.2051)	Prec@1 42.000 (44.413)	Prec@5 77.500 (74.971)
Epoch: [30][3920/9018]	Time 0.725 (0.616)	Data 0.001 (0.001)	Loss 2.0981 (2.2047)	Prec@1 47.000 (44.420)	Prec@5 74.500 (74.976)
Epoch: [30][3930/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1213 (2.2046)	Prec@1 47.500 (44.419)	Prec@5 77.000 (74.978)
Epoch: [30][3940/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 1.8743 (2.2044)	Prec@1 50.500 (44.420)	Prec@5 81.000 (74.983)
Epoch: [30][3950/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0040 (2.2040)	Prec@1 46.500 (44.425)	Prec@5 79.500 (74.988)
Epoch: [30][3960/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.3817 (2.2038)	Prec@1 43.000 (44.430)	Prec@5 71.000 (74.991)
Epoch: [30][3970/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.3505 (2.2038)	Prec@1 38.000 (44.433)	Prec@5 73.000 (74.990)
Epoch: [30][3980/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.2164 (2.2037)	Prec@1 46.000 (44.437)	Prec@5 76.000 (74.991)
Epoch: [30][3990/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0471 (2.2034)	Prec@1 48.000 (44.441)	Prec@5 78.000 (74.994)
Epoch: [30][4000/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.3002 (2.2035)	Prec@1 40.000 (44.437)	Prec@5 73.000 (74.994)
Epoch: [30][4010/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.2659 (2.2035)	Prec@1 43.500 (44.440)	Prec@5 75.000 (74.995)
Epoch: [30][4020/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 1.9189 (2.2032)	Prec@1 46.500 (44.444)	Prec@5 80.000 (74.997)
Epoch: [30][4030/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1430 (2.2031)	Prec@1 42.500 (44.447)	Prec@5 78.500 (75.000)
Epoch: [30][4040/9018]	Time 0.587 (0.616)	Data 0.001 (0.001)	Loss 2.3580 (2.2030)	Prec@1 40.500 (44.447)	Prec@5 74.500 (75.000)
Epoch: [30][4050/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1528 (2.2029)	Prec@1 48.000 (44.450)	Prec@5 77.000 (75.000)
Epoch: [30][4060/9018]	Time 0.636 (0.616)	Data 0.001 (0.001)	Loss 2.1357 (2.2028)	Prec@1 47.500 (44.454)	Prec@5 71.500 (74.999)
Epoch: [30][4070/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0817 (2.2027)	Prec@1 47.500 (44.454)	Prec@5 75.500 (75.000)
Epoch: [30][4080/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.3050 (2.2024)	Prec@1 39.000 (44.456)	Prec@5 71.500 (75.006)
Epoch: [30][4090/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.3043 (2.2023)	Prec@1 40.000 (44.459)	Prec@5 72.500 (75.008)
Epoch: [30][4100/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 1.9925 (2.2020)	Prec@1 48.500 (44.464)	Prec@5 81.500 (75.012)
Epoch: [30][4110/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.3338 (2.2020)	Prec@1 40.000 (44.467)	Prec@5 72.000 (75.011)
Epoch: [30][4120/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.1092 (2.2018)	Prec@1 45.500 (44.472)	Prec@5 74.000 (75.013)
Epoch: [30][4130/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.2214 (2.2017)	Prec@1 39.500 (44.475)	Prec@5 76.000 (75.017)
Epoch: [30][4140/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.3239 (2.2017)	Prec@1 43.500 (44.477)	Prec@5 75.000 (75.017)
Epoch: [30][4150/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.2453 (2.2015)	Prec@1 39.000 (44.477)	Prec@5 75.000 (75.020)
Epoch: [30][4160/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1347 (2.2014)	Prec@1 49.500 (44.482)	Prec@5 77.500 (75.018)
Epoch: [30][4170/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.2316 (2.2016)	Prec@1 41.000 (44.479)	Prec@5 77.000 (75.018)
Epoch: [30][4180/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1182 (2.2013)	Prec@1 44.000 (44.483)	Prec@5 80.000 (75.021)
Epoch: [30][4190/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.2265 (2.2012)	Prec@1 45.500 (44.486)	Prec@5 73.000 (75.023)
Epoch: [30][4200/9018]	Time 0.719 (0.616)	Data 0.001 (0.001)	Loss 2.0842 (2.2010)	Prec@1 42.500 (44.492)	Prec@5 78.500 (75.029)
Epoch: [30][4210/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1181 (2.2008)	Prec@1 43.000 (44.491)	Prec@5 76.000 (75.030)
Epoch: [30][4220/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.2720 (2.2007)	Prec@1 42.500 (44.494)	Prec@5 72.500 (75.031)
Epoch: [30][4230/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.2447 (2.2007)	Prec@1 38.500 (44.494)	Prec@5 73.500 (75.032)
Epoch: [30][4240/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1273 (2.2007)	Prec@1 48.000 (44.494)	Prec@5 75.000 (75.033)
Epoch: [30][4250/9018]	Time 0.750 (0.616)	Data 0.001 (0.001)	Loss 2.2665 (2.2006)	Prec@1 41.500 (44.495)	Prec@5 77.000 (75.037)
Epoch: [30][4260/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9179 (2.2004)	Prec@1 46.500 (44.499)	Prec@5 79.500 (75.040)
Epoch: [30][4270/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.0805 (2.2002)	Prec@1 47.500 (44.506)	Prec@5 76.000 (75.042)
Epoch: [30][4280/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1152 (2.2001)	Prec@1 44.500 (44.507)	Prec@5 72.000 (75.042)
Epoch: [30][4290/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0178 (2.1999)	Prec@1 49.000 (44.511)	Prec@5 79.500 (75.044)
Epoch: [30][4300/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.9067 (2.1999)	Prec@1 50.000 (44.511)	Prec@5 84.000 (75.046)
Epoch: [30][4310/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0411 (2.1999)	Prec@1 43.000 (44.512)	Prec@5 76.000 (75.045)
Epoch: [30][4320/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.2033 (2.1997)	Prec@1 41.500 (44.515)	Prec@5 76.000 (75.045)
Epoch: [30][4330/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.2339 (2.1995)	Prec@1 43.000 (44.521)	Prec@5 74.500 (75.051)
Epoch: [30][4340/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.3510 (2.1994)	Prec@1 41.000 (44.524)	Prec@5 71.500 (75.053)
Epoch: [30][4350/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.2460 (2.1994)	Prec@1 42.500 (44.525)	Prec@5 75.500 (75.055)
Epoch: [30][4360/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.2383 (2.1994)	Prec@1 43.500 (44.523)	Prec@5 73.500 (75.055)
Epoch: [30][4370/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9872 (2.1992)	Prec@1 52.000 (44.526)	Prec@5 74.500 (75.060)
Epoch: [30][4380/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.9846 (2.1991)	Prec@1 51.500 (44.529)	Prec@5 76.000 (75.060)
Epoch: [30][4390/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9459 (2.1991)	Prec@1 53.500 (44.530)	Prec@5 76.500 (75.061)
Epoch: [30][4400/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.1430 (2.1989)	Prec@1 43.500 (44.533)	Prec@5 77.500 (75.065)
Epoch: [30][4410/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.3031 (2.1987)	Prec@1 38.500 (44.534)	Prec@5 74.000 (75.068)
Epoch: [30][4420/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.1850 (2.1985)	Prec@1 44.000 (44.536)	Prec@5 77.000 (75.076)
Epoch: [30][4430/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.1172 (2.1984)	Prec@1 44.000 (44.536)	Prec@5 77.500 (75.079)
Epoch: [30][4440/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.0862 (2.1984)	Prec@1 50.500 (44.540)	Prec@5 77.500 (75.078)
Epoch: [30][4450/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 1.9420 (2.1982)	Prec@1 51.000 (44.546)	Prec@5 79.000 (75.082)
Epoch: [30][4460/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9596 (2.1981)	Prec@1 50.000 (44.544)	Prec@5 77.000 (75.084)
Epoch: [30][4470/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.0506 (2.1981)	Prec@1 47.000 (44.544)	Prec@5 77.000 (75.084)
Epoch: [30][4480/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.2452 (2.1980)	Prec@1 42.500 (44.544)	Prec@5 76.000 (75.084)
Epoch: [30][4490/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1787 (2.1979)	Prec@1 41.500 (44.545)	Prec@5 76.000 (75.089)
Epoch: [30][4500/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.3251 (2.1977)	Prec@1 42.500 (44.549)	Prec@5 79.000 (75.092)
Epoch: [30][4510/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.3426 (2.1977)	Prec@1 47.500 (44.553)	Prec@5 70.500 (75.092)
Epoch: [30][4520/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.2082 (2.1975)	Prec@1 45.000 (44.556)	Prec@5 73.500 (75.093)
Epoch: [30][4530/9018]	Time 0.714 (0.616)	Data 0.001 (0.001)	Loss 2.1089 (2.1974)	Prec@1 47.000 (44.561)	Prec@5 77.000 (75.096)
Epoch: [30][4540/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.4374 (2.1973)	Prec@1 35.500 (44.558)	Prec@5 70.500 (75.097)
Epoch: [30][4550/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0560 (2.1972)	Prec@1 46.500 (44.557)	Prec@5 80.000 (75.100)
Epoch: [30][4560/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.1141 (2.1972)	Prec@1 47.500 (44.556)	Prec@5 75.500 (75.100)
Epoch: [30][4570/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.0578 (2.1972)	Prec@1 49.000 (44.555)	Prec@5 78.000 (75.101)
Epoch: [30][4580/9018]	Time 0.737 (0.616)	Data 0.001 (0.001)	Loss 2.2044 (2.1971)	Prec@1 42.500 (44.553)	Prec@5 75.000 (75.101)
Epoch: [30][4590/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.1249 (2.1969)	Prec@1 51.000 (44.557)	Prec@5 74.500 (75.107)
Epoch: [30][4600/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.2081 (2.1968)	Prec@1 40.000 (44.557)	Prec@5 77.000 (75.109)
Epoch: [30][4610/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.0504 (2.1966)	Prec@1 49.000 (44.556)	Prec@5 78.000 (75.113)
Epoch: [30][4620/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1457 (2.1964)	Prec@1 42.000 (44.562)	Prec@5 75.000 (75.117)
Epoch: [30][4630/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9720 (2.1962)	Prec@1 48.000 (44.567)	Prec@5 77.500 (75.123)
Epoch: [30][4640/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 1.9977 (2.1960)	Prec@1 49.500 (44.570)	Prec@5 75.500 (75.124)
Epoch: [30][4650/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.3359 (2.1961)	Prec@1 43.500 (44.569)	Prec@5 73.000 (75.123)
Epoch: [30][4660/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.1282 (2.1960)	Prec@1 42.500 (44.571)	Prec@5 80.000 (75.125)
Epoch: [30][4670/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.9153 (2.1958)	Prec@1 53.000 (44.576)	Prec@5 81.500 (75.132)
Epoch: [30][4680/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1339 (2.1957)	Prec@1 50.500 (44.577)	Prec@5 74.000 (75.132)
Epoch: [30][4690/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9638 (2.1957)	Prec@1 47.500 (44.578)	Prec@5 76.500 (75.133)
Epoch: [30][4700/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1299 (2.1955)	Prec@1 45.000 (44.581)	Prec@5 78.000 (75.136)
Epoch: [30][4710/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.9651 (2.1954)	Prec@1 50.000 (44.586)	Prec@5 80.500 (75.137)
Epoch: [30][4720/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.3262 (2.1952)	Prec@1 48.000 (44.593)	Prec@5 68.000 (75.139)
Epoch: [30][4730/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9833 (2.1950)	Prec@1 46.500 (44.597)	Prec@5 81.000 (75.145)
Epoch: [30][4740/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.0529 (2.1949)	Prec@1 45.500 (44.601)	Prec@5 79.000 (75.149)
Epoch: [30][4750/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0124 (2.1947)	Prec@1 48.000 (44.601)	Prec@5 77.500 (75.150)
Epoch: [30][4760/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.0659 (2.1946)	Prec@1 51.000 (44.607)	Prec@5 78.000 (75.151)
Epoch: [30][4770/9018]	Time 0.636 (0.616)	Data 0.001 (0.001)	Loss 2.0794 (2.1945)	Prec@1 46.000 (44.610)	Prec@5 73.500 (75.152)
Epoch: [30][4780/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.1219 (2.1943)	Prec@1 47.500 (44.616)	Prec@5 80.500 (75.156)
Epoch: [30][4790/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.9642 (2.1942)	Prec@1 44.000 (44.618)	Prec@5 83.000 (75.156)
Epoch: [30][4800/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.1543 (2.1940)	Prec@1 42.500 (44.621)	Prec@5 75.000 (75.160)
Epoch: [30][4810/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.1194 (2.1939)	Prec@1 46.000 (44.621)	Prec@5 73.000 (75.162)
Epoch: [30][4820/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 1.9531 (2.1938)	Prec@1 48.000 (44.626)	Prec@5 83.500 (75.163)
Epoch: [30][4830/9018]	Time 0.636 (0.616)	Data 0.001 (0.001)	Loss 2.0724 (2.1938)	Prec@1 50.500 (44.628)	Prec@5 75.500 (75.162)
Epoch: [30][4840/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.0256 (2.1936)	Prec@1 53.000 (44.636)	Prec@5 76.500 (75.164)
Epoch: [30][4850/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.0590 (2.1935)	Prec@1 53.500 (44.638)	Prec@5 77.000 (75.169)
Epoch: [30][4860/9018]	Time 0.737 (0.616)	Data 0.001 (0.001)	Loss 2.0446 (2.1933)	Prec@1 46.500 (44.642)	Prec@5 78.500 (75.174)
Epoch: [30][4870/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.7977 (2.1930)	Prec@1 52.000 (44.646)	Prec@5 84.000 (75.177)
Epoch: [30][4880/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.2578 (2.1928)	Prec@1 43.000 (44.647)	Prec@5 74.000 (75.182)
Epoch: [30][4890/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1284 (2.1927)	Prec@1 45.500 (44.651)	Prec@5 78.500 (75.185)
Epoch: [30][4900/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9634 (2.1925)	Prec@1 51.500 (44.654)	Prec@5 79.000 (75.187)
Epoch: [30][4910/9018]	Time 0.738 (0.616)	Data 0.001 (0.001)	Loss 2.2588 (2.1924)	Prec@1 47.000 (44.656)	Prec@5 76.500 (75.190)
Epoch: [30][4920/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.3718 (2.1924)	Prec@1 40.500 (44.656)	Prec@5 71.000 (75.192)
Epoch: [30][4930/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.1539 (2.1923)	Prec@1 43.000 (44.659)	Prec@5 78.000 (75.191)
Epoch: [30][4940/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0689 (2.1923)	Prec@1 48.000 (44.659)	Prec@5 76.000 (75.191)
Epoch: [30][4950/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.2167 (2.1921)	Prec@1 42.500 (44.661)	Prec@5 74.500 (75.192)
Epoch: [30][4960/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1373 (2.1922)	Prec@1 46.000 (44.663)	Prec@5 78.000 (75.192)
Epoch: [30][4970/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 1.9530 (2.1920)	Prec@1 51.000 (44.665)	Prec@5 79.000 (75.194)
Epoch: [30][4980/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.1792 (2.1919)	Prec@1 42.500 (44.665)	Prec@5 75.500 (75.196)
Epoch: [30][4990/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.3881 (2.1917)	Prec@1 41.000 (44.667)	Prec@5 68.500 (75.199)
Epoch: [30][5000/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0440 (2.1917)	Prec@1 45.000 (44.665)	Prec@5 77.500 (75.198)
Epoch: [30][5010/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.9615 (2.1917)	Prec@1 51.000 (44.668)	Prec@5 77.000 (75.200)
Epoch: [30][5020/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.3083 (2.1916)	Prec@1 42.000 (44.670)	Prec@5 71.500 (75.202)
Epoch: [30][5030/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.0890 (2.1917)	Prec@1 45.500 (44.668)	Prec@5 78.000 (75.199)
Epoch: [30][5040/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1091 (2.1915)	Prec@1 42.500 (44.670)	Prec@5 77.500 (75.201)
Epoch: [30][5050/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.3356 (2.1915)	Prec@1 39.500 (44.670)	Prec@5 74.500 (75.203)
Epoch: [30][5060/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0639 (2.1913)	Prec@1 46.000 (44.671)	Prec@5 77.500 (75.207)
Epoch: [30][5070/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.9489 (2.1912)	Prec@1 51.500 (44.675)	Prec@5 79.500 (75.210)
Epoch: [30][5080/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.0275 (2.1910)	Prec@1 50.000 (44.681)	Prec@5 76.000 (75.214)
Epoch: [30][5090/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0525 (2.1909)	Prec@1 51.000 (44.681)	Prec@5 77.500 (75.215)
Epoch: [30][5100/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.1846 (2.1908)	Prec@1 46.500 (44.681)	Prec@5 77.500 (75.217)
Epoch: [30][5110/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.1579 (2.1908)	Prec@1 43.500 (44.683)	Prec@5 74.000 (75.217)
Epoch: [30][5120/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.3180 (2.1908)	Prec@1 44.000 (44.684)	Prec@5 73.500 (75.217)
Epoch: [30][5130/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.4710 (2.1907)	Prec@1 42.000 (44.684)	Prec@5 71.500 (75.219)
Epoch: [30][5140/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9552 (2.1905)	Prec@1 53.000 (44.688)	Prec@5 74.500 (75.224)
Epoch: [30][5150/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0446 (2.1902)	Prec@1 46.000 (44.691)	Prec@5 76.000 (75.230)
Epoch: [30][5160/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1153 (2.1902)	Prec@1 48.000 (44.691)	Prec@5 74.500 (75.229)
Epoch: [30][5170/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.1640 (2.1901)	Prec@1 48.000 (44.697)	Prec@5 75.000 (75.230)
Epoch: [30][5180/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0013 (2.1900)	Prec@1 45.000 (44.697)	Prec@5 82.000 (75.233)
Epoch: [30][5190/9018]	Time 0.741 (0.616)	Data 0.001 (0.001)	Loss 1.9810 (2.1899)	Prec@1 48.500 (44.698)	Prec@5 78.500 (75.233)
Epoch: [30][5200/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2541 (2.1898)	Prec@1 43.000 (44.698)	Prec@5 74.500 (75.235)
Epoch: [30][5210/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3381 (2.1898)	Prec@1 40.500 (44.697)	Prec@5 73.000 (75.236)
Epoch: [30][5220/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0224 (2.1896)	Prec@1 47.000 (44.702)	Prec@5 78.000 (75.240)
Epoch: [30][5230/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9484 (2.1897)	Prec@1 48.000 (44.699)	Prec@5 79.000 (75.238)
Epoch: [30][5240/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.0541 (2.1896)	Prec@1 47.000 (44.699)	Prec@5 79.000 (75.239)
Epoch: [30][5250/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.2532 (2.1896)	Prec@1 46.000 (44.699)	Prec@5 76.000 (75.240)
Epoch: [30][5260/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2791 (2.1895)	Prec@1 41.000 (44.699)	Prec@5 74.500 (75.241)
Epoch: [30][5270/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0802 (2.1894)	Prec@1 47.500 (44.700)	Prec@5 79.500 (75.244)
Epoch: [30][5280/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1884 (2.1896)	Prec@1 43.500 (44.699)	Prec@5 78.000 (75.240)
Epoch: [30][5290/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1809 (2.1896)	Prec@1 44.500 (44.698)	Prec@5 76.000 (75.240)
Epoch: [30][5300/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1371 (2.1896)	Prec@1 48.000 (44.696)	Prec@5 78.000 (75.241)
Epoch: [30][5310/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0469 (2.1895)	Prec@1 50.500 (44.702)	Prec@5 77.000 (75.242)
Epoch: [30][5320/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.3336 (2.1895)	Prec@1 46.000 (44.702)	Prec@5 72.500 (75.239)
Epoch: [30][5330/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2508 (2.1894)	Prec@1 43.000 (44.702)	Prec@5 76.000 (75.239)
Epoch: [30][5340/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.8855 (2.1893)	Prec@1 51.500 (44.702)	Prec@5 82.000 (75.242)
Epoch: [30][5350/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0772 (2.1893)	Prec@1 50.000 (44.703)	Prec@5 78.500 (75.242)
Epoch: [30][5360/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0569 (2.1892)	Prec@1 49.000 (44.702)	Prec@5 75.500 (75.244)
Epoch: [30][5370/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3644 (2.1893)	Prec@1 40.000 (44.702)	Prec@5 73.500 (75.242)
Epoch: [30][5380/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.2509 (2.1893)	Prec@1 43.500 (44.701)	Prec@5 75.000 (75.243)
Epoch: [30][5390/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.1434 (2.1892)	Prec@1 41.000 (44.701)	Prec@5 77.000 (75.245)
Epoch: [30][5400/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2401 (2.1892)	Prec@1 43.500 (44.701)	Prec@5 75.000 (75.245)
Epoch: [30][5410/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.2148 (2.1892)	Prec@1 41.500 (44.700)	Prec@5 72.000 (75.247)
Epoch: [30][5420/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.2232 (2.1890)	Prec@1 43.000 (44.700)	Prec@5 74.000 (75.251)
Epoch: [30][5430/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1702 (2.1888)	Prec@1 43.500 (44.705)	Prec@5 76.000 (75.254)
Epoch: [30][5440/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0807 (2.1887)	Prec@1 46.500 (44.708)	Prec@5 78.000 (75.255)
Epoch: [30][5450/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.3437 (2.1885)	Prec@1 43.500 (44.708)	Prec@5 74.000 (75.260)
Epoch: [30][5460/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3856 (2.1885)	Prec@1 39.500 (44.710)	Prec@5 74.500 (75.261)
Epoch: [30][5470/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.2717 (2.1885)	Prec@1 41.500 (44.707)	Prec@5 72.000 (75.258)
Epoch: [30][5480/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0695 (2.1885)	Prec@1 50.500 (44.709)	Prec@5 79.000 (75.259)
Epoch: [30][5490/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.4748 (2.1886)	Prec@1 37.500 (44.706)	Prec@5 73.500 (75.262)
Epoch: [30][5500/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0759 (2.1884)	Prec@1 46.500 (44.707)	Prec@5 76.000 (75.264)
Epoch: [30][5510/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3257 (2.1885)	Prec@1 41.500 (44.708)	Prec@5 71.500 (75.264)
Epoch: [30][5520/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.2126 (2.1885)	Prec@1 43.000 (44.707)	Prec@5 75.000 (75.265)
Epoch: [30][5530/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2611 (2.1885)	Prec@1 42.500 (44.706)	Prec@5 73.000 (75.264)
Epoch: [30][5540/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2257 (2.1884)	Prec@1 44.500 (44.708)	Prec@5 73.500 (75.266)
Epoch: [30][5550/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1210 (2.1884)	Prec@1 49.000 (44.708)	Prec@5 72.000 (75.265)
Epoch: [30][5560/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1982 (2.1884)	Prec@1 46.000 (44.710)	Prec@5 77.000 (75.266)
Epoch: [30][5570/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.1620 (2.1883)	Prec@1 45.500 (44.712)	Prec@5 74.000 (75.266)
Epoch: [30][5580/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2483 (2.1882)	Prec@1 43.000 (44.715)	Prec@5 74.000 (75.267)
Epoch: [30][5590/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0573 (2.1881)	Prec@1 51.500 (44.717)	Prec@5 77.000 (75.268)
Epoch: [30][5600/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2496 (2.1881)	Prec@1 43.500 (44.717)	Prec@5 72.000 (75.269)
Epoch: [30][5610/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0844 (2.1880)	Prec@1 48.500 (44.722)	Prec@5 74.500 (75.269)
Epoch: [30][5620/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.1648 (2.1880)	Prec@1 47.000 (44.721)	Prec@5 76.500 (75.267)
Epoch: [30][5630/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.9909 (2.1878)	Prec@1 52.500 (44.724)	Prec@5 81.000 (75.272)
Epoch: [30][5640/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.1914 (2.1876)	Prec@1 43.500 (44.727)	Prec@5 72.500 (75.274)
Epoch: [30][5650/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.0333 (2.1876)	Prec@1 50.500 (44.728)	Prec@5 78.500 (75.275)
Epoch: [30][5660/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1797 (2.1876)	Prec@1 42.500 (44.732)	Prec@5 76.500 (75.274)
Epoch: [30][5670/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.2651 (2.1875)	Prec@1 42.500 (44.733)	Prec@5 72.500 (75.275)
Epoch: [30][5680/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0768 (2.1873)	Prec@1 46.000 (44.738)	Prec@5 79.500 (75.279)
Epoch: [30][5690/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0552 (2.1873)	Prec@1 46.000 (44.737)	Prec@5 81.500 (75.281)
Epoch: [30][5700/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.9670 (2.1872)	Prec@1 49.500 (44.738)	Prec@5 78.500 (75.282)
Epoch: [30][5710/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4873 (2.1871)	Prec@1 38.000 (44.739)	Prec@5 69.500 (75.285)
Epoch: [30][5720/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2403 (2.1872)	Prec@1 47.000 (44.739)	Prec@5 77.000 (75.286)
Epoch: [30][5730/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.2167 (2.1871)	Prec@1 43.500 (44.741)	Prec@5 76.000 (75.289)
Epoch: [30][5740/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1681 (2.1869)	Prec@1 43.000 (44.743)	Prec@5 74.500 (75.292)
Epoch: [30][5750/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0973 (2.1868)	Prec@1 49.000 (44.745)	Prec@5 74.500 (75.294)
Epoch: [30][5760/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2884 (2.1867)	Prec@1 39.000 (44.748)	Prec@5 74.000 (75.295)
Epoch: [30][5770/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9558 (2.1866)	Prec@1 50.000 (44.750)	Prec@5 78.500 (75.297)
Epoch: [30][5780/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0785 (2.1865)	Prec@1 49.500 (44.753)	Prec@5 77.000 (75.297)
Epoch: [30][5790/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.3969 (2.1864)	Prec@1 40.000 (44.755)	Prec@5 73.000 (75.298)
Epoch: [30][5800/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.2477 (2.1863)	Prec@1 42.000 (44.756)	Prec@5 74.000 (75.299)
Epoch: [30][5810/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1467 (2.1862)	Prec@1 46.000 (44.757)	Prec@5 79.000 (75.299)
Epoch: [30][5820/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1013 (2.1860)	Prec@1 47.000 (44.761)	Prec@5 77.500 (75.303)
Epoch: [30][5830/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.0568 (2.1859)	Prec@1 47.500 (44.765)	Prec@5 78.000 (75.306)
Epoch: [30][5840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8564 (2.1858)	Prec@1 55.500 (44.766)	Prec@5 80.500 (75.308)
Epoch: [30][5850/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 2.1420 (2.1857)	Prec@1 47.500 (44.766)	Prec@5 77.000 (75.310)
Epoch: [30][5860/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3660 (2.1857)	Prec@1 42.500 (44.768)	Prec@5 74.000 (75.312)
Epoch: [30][5870/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3636 (2.1857)	Prec@1 43.000 (44.769)	Prec@5 70.500 (75.313)
Epoch: [30][5880/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1861 (2.1856)	Prec@1 49.000 (44.774)	Prec@5 76.500 (75.314)
Epoch: [30][5890/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.1958 (2.1854)	Prec@1 44.500 (44.775)	Prec@5 74.000 (75.316)
Epoch: [30][5900/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.0046 (2.1854)	Prec@1 46.500 (44.777)	Prec@5 79.500 (75.318)
Epoch: [30][5910/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.1709 (2.1852)	Prec@1 43.500 (44.780)	Prec@5 77.000 (75.321)
Epoch: [30][5920/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0315 (2.1852)	Prec@1 49.500 (44.780)	Prec@5 76.500 (75.322)
Epoch: [30][5930/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1286 (2.1851)	Prec@1 46.500 (44.783)	Prec@5 79.000 (75.324)
Epoch: [30][5940/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8296 (2.1850)	Prec@1 49.500 (44.786)	Prec@5 83.000 (75.325)
Epoch: [30][5950/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1316 (2.1849)	Prec@1 48.000 (44.786)	Prec@5 75.000 (75.326)
Epoch: [30][5960/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0020 (2.1848)	Prec@1 52.000 (44.790)	Prec@5 76.500 (75.329)
Epoch: [30][5970/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1728 (2.1848)	Prec@1 42.500 (44.789)	Prec@5 76.500 (75.329)
Epoch: [30][5980/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.9859 (2.1847)	Prec@1 51.500 (44.790)	Prec@5 80.500 (75.331)
Epoch: [30][5990/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3645 (2.1847)	Prec@1 41.500 (44.789)	Prec@5 74.500 (75.331)
Epoch: [30][6000/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0211 (2.1844)	Prec@1 44.500 (44.794)	Prec@5 78.500 (75.338)
Epoch: [30][6010/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.2138 (2.1843)	Prec@1 45.000 (44.797)	Prec@5 74.500 (75.341)
Epoch: [30][6020/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1858 (2.1841)	Prec@1 48.000 (44.801)	Prec@5 74.000 (75.344)
Epoch: [30][6030/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9761 (2.1840)	Prec@1 46.500 (44.802)	Prec@5 79.500 (75.348)
Epoch: [30][6040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1598 (2.1839)	Prec@1 45.000 (44.803)	Prec@5 77.500 (75.351)
Epoch: [30][6050/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9665 (2.1839)	Prec@1 48.500 (44.804)	Prec@5 79.000 (75.353)
Epoch: [30][6060/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.1094 (2.1837)	Prec@1 50.000 (44.807)	Prec@5 76.500 (75.355)
Epoch: [30][6070/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2827 (2.1837)	Prec@1 41.000 (44.804)	Prec@5 72.500 (75.355)
Epoch: [30][6080/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.2049 (2.1837)	Prec@1 47.000 (44.802)	Prec@5 76.000 (75.354)
Epoch: [30][6090/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.1060 (2.1835)	Prec@1 48.500 (44.805)	Prec@5 76.500 (75.357)
Epoch: [30][6100/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0752 (2.1836)	Prec@1 46.000 (44.806)	Prec@5 74.000 (75.356)
Epoch: [30][6110/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0848 (2.1834)	Prec@1 50.500 (44.808)	Prec@5 75.000 (75.357)
Epoch: [30][6120/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9472 (2.1834)	Prec@1 48.000 (44.809)	Prec@5 78.500 (75.358)
Epoch: [30][6130/9018]	Time 0.645 (0.615)	Data 0.001 (0.001)	Loss 2.0636 (2.1833)	Prec@1 48.000 (44.810)	Prec@5 78.000 (75.360)
Epoch: [30][6140/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9407 (2.1831)	Prec@1 53.000 (44.813)	Prec@5 80.500 (75.364)
Epoch: [30][6150/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2226 (2.1830)	Prec@1 42.000 (44.813)	Prec@5 73.000 (75.365)
Epoch: [30][6160/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.2130 (2.1828)	Prec@1 41.000 (44.816)	Prec@5 75.000 (75.370)
Epoch: [30][6170/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0115 (2.1827)	Prec@1 50.000 (44.819)	Prec@5 78.500 (75.370)
Epoch: [30][6180/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.2243 (2.1827)	Prec@1 43.000 (44.819)	Prec@5 73.500 (75.370)
Epoch: [30][6190/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0341 (2.1826)	Prec@1 49.000 (44.822)	Prec@5 81.000 (75.371)
Epoch: [30][6200/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9923 (2.1825)	Prec@1 45.000 (44.824)	Prec@5 79.500 (75.371)
Epoch: [30][6210/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.1998 (2.1824)	Prec@1 42.500 (44.825)	Prec@5 76.500 (75.373)
Epoch: [30][6220/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0458 (2.1823)	Prec@1 45.500 (44.826)	Prec@5 78.500 (75.376)
Epoch: [30][6230/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.3076 (2.1821)	Prec@1 41.500 (44.828)	Prec@5 72.000 (75.380)
Epoch: [30][6240/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.9707 (2.1820)	Prec@1 46.500 (44.830)	Prec@5 79.000 (75.383)
Epoch: [30][6250/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.2737 (2.1819)	Prec@1 40.500 (44.831)	Prec@5 72.500 (75.386)
Epoch: [30][6260/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.2438 (2.1819)	Prec@1 45.000 (44.830)	Prec@5 74.500 (75.386)
Epoch: [30][6270/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1371 (2.1817)	Prec@1 50.000 (44.834)	Prec@5 75.000 (75.387)
Epoch: [30][6280/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.1933 (2.1817)	Prec@1 43.500 (44.833)	Prec@5 77.000 (75.389)
Epoch: [30][6290/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1540 (2.1818)	Prec@1 44.000 (44.831)	Prec@5 78.000 (75.389)
Epoch: [30][6300/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0842 (2.1817)	Prec@1 46.500 (44.835)	Prec@5 80.500 (75.391)
Epoch: [30][6310/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3175 (2.1816)	Prec@1 39.000 (44.838)	Prec@5 77.000 (75.394)
Epoch: [30][6320/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0762 (2.1814)	Prec@1 47.000 (44.840)	Prec@5 76.000 (75.397)
Epoch: [30][6330/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0303 (2.1813)	Prec@1 44.000 (44.842)	Prec@5 78.500 (75.399)
Epoch: [30][6340/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9478 (2.1813)	Prec@1 48.500 (44.842)	Prec@5 76.000 (75.397)
Epoch: [30][6350/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0994 (2.1812)	Prec@1 44.500 (44.846)	Prec@5 76.000 (75.398)
Epoch: [30][6360/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2025 (2.1811)	Prec@1 42.000 (44.848)	Prec@5 76.500 (75.401)
Epoch: [30][6370/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0787 (2.1809)	Prec@1 50.000 (44.855)	Prec@5 77.000 (75.405)
Epoch: [30][6380/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9971 (2.1808)	Prec@1 46.000 (44.856)	Prec@5 74.000 (75.406)
Epoch: [30][6390/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2839 (2.1807)	Prec@1 41.000 (44.856)	Prec@5 74.500 (75.405)
Epoch: [30][6400/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1488 (2.1807)	Prec@1 49.000 (44.858)	Prec@5 72.500 (75.404)
Epoch: [30][6410/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1971 (2.1806)	Prec@1 42.000 (44.859)	Prec@5 76.000 (75.405)
Epoch: [30][6420/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1253 (2.1806)	Prec@1 44.000 (44.858)	Prec@5 77.000 (75.406)
Epoch: [30][6430/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0783 (2.1805)	Prec@1 42.500 (44.858)	Prec@5 79.000 (75.408)
Epoch: [30][6440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0000 (2.1804)	Prec@1 48.500 (44.860)	Prec@5 77.500 (75.408)
Epoch: [30][6450/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8403 (2.1802)	Prec@1 50.500 (44.865)	Prec@5 81.000 (75.411)
Epoch: [30][6460/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1675 (2.1801)	Prec@1 46.000 (44.867)	Prec@5 70.500 (75.413)
Epoch: [30][6470/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9822 (2.1800)	Prec@1 48.500 (44.871)	Prec@5 79.000 (75.415)
Epoch: [30][6480/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9935 (2.1798)	Prec@1 45.000 (44.873)	Prec@5 76.000 (75.418)
Epoch: [30][6490/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1798 (2.1797)	Prec@1 45.000 (44.876)	Prec@5 75.500 (75.421)
Epoch: [30][6500/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1466 (2.1796)	Prec@1 43.500 (44.877)	Prec@5 74.500 (75.422)
Epoch: [30][6510/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.2427 (2.1796)	Prec@1 43.500 (44.878)	Prec@5 76.000 (75.425)
Epoch: [30][6520/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1374 (2.1794)	Prec@1 44.000 (44.878)	Prec@5 76.000 (75.427)
Epoch: [30][6530/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2290 (2.1794)	Prec@1 47.500 (44.881)	Prec@5 72.000 (75.427)
Epoch: [30][6540/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1127 (2.1794)	Prec@1 46.000 (44.880)	Prec@5 79.000 (75.428)
Epoch: [30][6550/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9034 (2.1793)	Prec@1 49.500 (44.883)	Prec@5 78.500 (75.431)
Epoch: [30][6560/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 1.9885 (2.1792)	Prec@1 48.000 (44.885)	Prec@5 79.000 (75.434)
Epoch: [30][6570/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1890 (2.1791)	Prec@1 46.500 (44.887)	Prec@5 72.500 (75.436)
Epoch: [30][6580/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2116 (2.1791)	Prec@1 45.500 (44.888)	Prec@5 76.500 (75.438)
Epoch: [30][6590/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1086 (2.1790)	Prec@1 46.500 (44.891)	Prec@5 73.500 (75.437)
Epoch: [30][6600/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8605 (2.1789)	Prec@1 53.000 (44.896)	Prec@5 82.000 (75.440)
Epoch: [30][6610/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.2222 (2.1789)	Prec@1 42.000 (44.897)	Prec@5 74.500 (75.439)
Epoch: [30][6620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1990 (2.1788)	Prec@1 47.000 (44.899)	Prec@5 78.000 (75.441)
Epoch: [30][6630/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3203 (2.1788)	Prec@1 40.500 (44.899)	Prec@5 72.500 (75.441)
Epoch: [30][6640/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0228 (2.1787)	Prec@1 46.500 (44.901)	Prec@5 78.000 (75.442)
Epoch: [30][6650/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2048 (2.1788)	Prec@1 45.500 (44.898)	Prec@5 76.000 (75.443)
Epoch: [30][6660/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1803 (2.1787)	Prec@1 43.500 (44.897)	Prec@5 75.500 (75.444)
Epoch: [30][6670/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.2514 (2.1787)	Prec@1 44.000 (44.898)	Prec@5 71.500 (75.444)
Epoch: [30][6680/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.2064 (2.1786)	Prec@1 36.500 (44.898)	Prec@5 76.500 (75.447)
Epoch: [30][6690/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1276 (2.1787)	Prec@1 45.500 (44.896)	Prec@5 75.000 (75.443)
Epoch: [30][6700/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3070 (2.1787)	Prec@1 44.000 (44.897)	Prec@5 72.000 (75.443)
Epoch: [30][6710/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1084 (2.1786)	Prec@1 43.500 (44.897)	Prec@5 79.500 (75.443)
Epoch: [30][6720/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.2089 (2.1786)	Prec@1 47.000 (44.899)	Prec@5 72.000 (75.444)
Epoch: [30][6730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2612 (2.1785)	Prec@1 42.500 (44.900)	Prec@5 73.000 (75.445)
Epoch: [30][6740/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.9986 (2.1783)	Prec@1 47.500 (44.903)	Prec@5 79.000 (75.448)
Epoch: [30][6750/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2511 (2.1783)	Prec@1 44.000 (44.904)	Prec@5 73.500 (75.449)
Epoch: [30][6760/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0914 (2.1782)	Prec@1 41.500 (44.904)	Prec@5 77.500 (75.451)
Epoch: [30][6770/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0056 (2.1781)	Prec@1 44.000 (44.905)	Prec@5 78.000 (75.453)
Epoch: [30][6780/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0373 (2.1781)	Prec@1 48.500 (44.904)	Prec@5 77.000 (75.455)
Epoch: [30][6790/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0795 (2.1781)	Prec@1 48.000 (44.904)	Prec@5 75.000 (75.455)
Epoch: [30][6800/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8551 (2.1779)	Prec@1 51.500 (44.908)	Prec@5 82.000 (75.460)
Epoch: [30][6810/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0400 (2.1778)	Prec@1 45.000 (44.909)	Prec@5 78.000 (75.462)
Epoch: [30][6820/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1296 (2.1777)	Prec@1 46.500 (44.910)	Prec@5 79.000 (75.463)
Epoch: [30][6830/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3652 (2.1776)	Prec@1 41.500 (44.914)	Prec@5 69.500 (75.466)
Epoch: [30][6840/9018]	Time 0.747 (0.615)	Data 0.001 (0.001)	Loss 2.1262 (2.1776)	Prec@1 49.500 (44.914)	Prec@5 76.500 (75.466)
Epoch: [30][6850/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9318 (2.1775)	Prec@1 50.500 (44.915)	Prec@5 77.500 (75.466)
Epoch: [30][6860/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0867 (2.1774)	Prec@1 46.500 (44.918)	Prec@5 74.000 (75.467)
Epoch: [30][6870/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.1708 (2.1775)	Prec@1 42.000 (44.917)	Prec@5 77.500 (75.465)
Epoch: [30][6880/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.9838 (2.1773)	Prec@1 52.000 (44.919)	Prec@5 79.000 (75.468)
Epoch: [30][6890/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.2090 (2.1773)	Prec@1 43.500 (44.921)	Prec@5 74.000 (75.470)
Epoch: [30][6900/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2913 (2.1773)	Prec@1 43.000 (44.922)	Prec@5 73.000 (75.469)
Epoch: [30][6910/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1328 (2.1771)	Prec@1 43.500 (44.922)	Prec@5 75.000 (75.470)
Epoch: [30][6920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0309 (2.1771)	Prec@1 49.000 (44.923)	Prec@5 80.000 (75.470)
Epoch: [30][6930/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.1674 (2.1770)	Prec@1 44.000 (44.926)	Prec@5 76.500 (75.473)
Epoch: [30][6940/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.2092 (2.1770)	Prec@1 40.000 (44.927)	Prec@5 78.000 (75.473)
Epoch: [30][6950/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9746 (2.1770)	Prec@1 49.500 (44.928)	Prec@5 80.000 (75.473)
Epoch: [30][6960/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1305 (2.1768)	Prec@1 43.500 (44.931)	Prec@5 77.500 (75.476)
Epoch: [30][6970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1745 (2.1768)	Prec@1 44.000 (44.932)	Prec@5 75.000 (75.477)
Epoch: [30][6980/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9945 (2.1767)	Prec@1 50.000 (44.935)	Prec@5 77.500 (75.477)
Epoch: [30][6990/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9907 (2.1767)	Prec@1 49.000 (44.936)	Prec@5 78.500 (75.477)
Epoch: [30][7000/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0352 (2.1766)	Prec@1 49.500 (44.936)	Prec@5 77.500 (75.478)
Epoch: [30][7010/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2427 (2.1766)	Prec@1 39.500 (44.937)	Prec@5 76.500 (75.479)
Epoch: [30][7020/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0216 (2.1764)	Prec@1 47.000 (44.941)	Prec@5 78.500 (75.482)
Epoch: [30][7030/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3040 (2.1763)	Prec@1 40.500 (44.942)	Prec@5 74.000 (75.484)
Epoch: [30][7040/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.1507 (2.1763)	Prec@1 47.500 (44.945)	Prec@5 77.500 (75.486)
Epoch: [30][7050/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4929 (2.1762)	Prec@1 42.500 (44.947)	Prec@5 68.500 (75.487)
Epoch: [30][7060/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.4643 (2.1761)	Prec@1 42.500 (44.950)	Prec@5 70.500 (75.489)
Epoch: [30][7070/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0282 (2.1761)	Prec@1 49.500 (44.953)	Prec@5 77.500 (75.491)
Epoch: [30][7080/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2800 (2.1760)	Prec@1 45.000 (44.953)	Prec@5 74.500 (75.492)
Epoch: [30][7090/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2012 (2.1759)	Prec@1 43.000 (44.953)	Prec@5 77.500 (75.495)
Epoch: [30][7100/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1922 (2.1758)	Prec@1 43.500 (44.952)	Prec@5 76.500 (75.497)
Epoch: [30][7110/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0137 (2.1757)	Prec@1 48.000 (44.954)	Prec@5 78.500 (75.500)
Epoch: [30][7120/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0857 (2.1756)	Prec@1 48.000 (44.956)	Prec@5 73.500 (75.502)
Epoch: [30][7130/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0932 (2.1755)	Prec@1 49.000 (44.957)	Prec@5 75.500 (75.503)
Epoch: [30][7140/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0617 (2.1754)	Prec@1 44.500 (44.959)	Prec@5 81.000 (75.506)
Epoch: [30][7150/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.2614 (2.1754)	Prec@1 44.500 (44.959)	Prec@5 74.000 (75.508)
Epoch: [30][7160/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0955 (2.1754)	Prec@1 52.000 (44.961)	Prec@5 76.500 (75.509)
Epoch: [30][7170/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 1.9935 (2.1753)	Prec@1 47.500 (44.959)	Prec@5 81.000 (75.511)
Epoch: [30][7180/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.0909 (2.1753)	Prec@1 43.500 (44.959)	Prec@5 81.000 (75.512)
Epoch: [30][7190/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.2595 (2.1754)	Prec@1 48.500 (44.960)	Prec@5 72.500 (75.510)
Epoch: [30][7200/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1061 (2.1753)	Prec@1 43.500 (44.962)	Prec@5 81.000 (75.512)
Epoch: [30][7210/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0733 (2.1752)	Prec@1 46.500 (44.963)	Prec@5 79.500 (75.514)
Epoch: [30][7220/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 2.2722 (2.1753)	Prec@1 44.000 (44.961)	Prec@5 72.500 (75.513)
Epoch: [30][7230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9976 (2.1753)	Prec@1 49.500 (44.960)	Prec@5 82.000 (75.513)
Epoch: [30][7240/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1939 (2.1752)	Prec@1 43.500 (44.962)	Prec@5 79.000 (75.516)
Epoch: [30][7250/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2182 (2.1752)	Prec@1 42.500 (44.962)	Prec@5 75.500 (75.516)
Epoch: [30][7260/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0435 (2.1751)	Prec@1 49.500 (44.965)	Prec@5 76.500 (75.517)
Epoch: [30][7270/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 2.3705 (2.1750)	Prec@1 42.000 (44.967)	Prec@5 69.500 (75.518)
Epoch: [30][7280/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2285 (2.1750)	Prec@1 40.000 (44.967)	Prec@5 74.500 (75.519)
Epoch: [30][7290/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.2025 (2.1749)	Prec@1 46.500 (44.970)	Prec@5 72.500 (75.521)
Epoch: [30][7300/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1507 (2.1749)	Prec@1 45.500 (44.972)	Prec@5 75.000 (75.522)
Epoch: [30][7310/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8697 (2.1748)	Prec@1 51.000 (44.974)	Prec@5 82.000 (75.523)
Epoch: [30][7320/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0767 (2.1748)	Prec@1 48.000 (44.977)	Prec@5 77.000 (75.525)
Epoch: [30][7330/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.1363 (2.1747)	Prec@1 42.500 (44.976)	Prec@5 77.500 (75.526)
Epoch: [30][7340/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1163 (2.1747)	Prec@1 46.000 (44.975)	Prec@5 70.500 (75.527)
Epoch: [30][7350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0656 (2.1746)	Prec@1 47.000 (44.975)	Prec@5 76.500 (75.526)
Epoch: [30][7360/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.0752 (2.1746)	Prec@1 47.000 (44.978)	Prec@5 77.000 (75.528)
Epoch: [30][7370/9018]	Time 0.649 (0.615)	Data 0.001 (0.001)	Loss 1.8938 (2.1745)	Prec@1 51.500 (44.980)	Prec@5 76.500 (75.527)
Epoch: [30][7380/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1876 (2.1745)	Prec@1 45.500 (44.979)	Prec@5 72.500 (75.528)
Epoch: [30][7390/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1737 (2.1746)	Prec@1 44.500 (44.977)	Prec@5 77.000 (75.528)
Epoch: [30][7400/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0859 (2.1745)	Prec@1 44.000 (44.979)	Prec@5 80.000 (75.529)
Epoch: [30][7410/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1077 (2.1745)	Prec@1 45.500 (44.979)	Prec@5 79.500 (75.530)
Epoch: [30][7420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3071 (2.1744)	Prec@1 42.000 (44.980)	Prec@5 73.500 (75.531)
Epoch: [30][7430/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.1484 (2.1743)	Prec@1 46.000 (44.984)	Prec@5 73.500 (75.533)
Epoch: [30][7440/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2192 (2.1742)	Prec@1 43.000 (44.985)	Prec@5 76.500 (75.534)
Epoch: [30][7450/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0274 (2.1741)	Prec@1 47.500 (44.988)	Prec@5 75.000 (75.535)
Epoch: [30][7460/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1194 (2.1740)	Prec@1 44.500 (44.988)	Prec@5 76.500 (75.537)
Epoch: [30][7470/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1193 (2.1740)	Prec@1 44.000 (44.989)	Prec@5 76.500 (75.537)
Epoch: [30][7480/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2650 (2.1739)	Prec@1 45.000 (44.989)	Prec@5 70.500 (75.539)
Epoch: [30][7490/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.5090 (2.1739)	Prec@1 38.500 (44.989)	Prec@5 68.500 (75.539)
Epoch: [30][7500/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.0279 (2.1737)	Prec@1 46.000 (44.990)	Prec@5 78.500 (75.543)
Epoch: [30][7510/9018]	Time 0.631 (0.615)	Data 0.003 (0.001)	Loss 2.0441 (2.1736)	Prec@1 49.000 (44.995)	Prec@5 75.000 (75.544)
Epoch: [30][7520/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0711 (2.1735)	Prec@1 46.500 (44.995)	Prec@5 79.000 (75.547)
Epoch: [30][7530/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0542 (2.1734)	Prec@1 47.500 (44.996)	Prec@5 77.000 (75.549)
Epoch: [30][7540/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0269 (2.1733)	Prec@1 48.500 (44.997)	Prec@5 76.500 (75.549)
Epoch: [30][7550/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.0939 (2.1733)	Prec@1 43.500 (44.999)	Prec@5 80.000 (75.550)
Epoch: [30][7560/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3211 (2.1732)	Prec@1 43.000 (45.000)	Prec@5 70.500 (75.552)
Epoch: [30][7570/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1455 (2.1732)	Prec@1 47.000 (45.002)	Prec@5 74.000 (75.553)
Epoch: [30][7580/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2785 (2.1731)	Prec@1 46.500 (45.003)	Prec@5 75.500 (75.554)
Epoch: [30][7590/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1219 (2.1731)	Prec@1 41.500 (45.005)	Prec@5 76.500 (75.555)
Epoch: [30][7600/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2748 (2.1730)	Prec@1 44.000 (45.006)	Prec@5 75.000 (75.556)
Epoch: [30][7610/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.3377 (2.1730)	Prec@1 39.000 (45.006)	Prec@5 71.500 (75.556)
Epoch: [30][7620/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.1873 (2.1731)	Prec@1 48.000 (45.006)	Prec@5 75.500 (75.556)
Epoch: [30][7630/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0180 (2.1730)	Prec@1 46.500 (45.006)	Prec@5 76.000 (75.556)
Epoch: [30][7640/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9099 (2.1729)	Prec@1 47.500 (45.009)	Prec@5 80.000 (75.559)
Epoch: [30][7650/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1189 (2.1728)	Prec@1 48.500 (45.011)	Prec@5 73.500 (75.560)
Epoch: [30][7660/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.1744 (2.1728)	Prec@1 48.500 (45.014)	Prec@5 76.000 (75.561)
Epoch: [30][7670/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.4086 (2.1728)	Prec@1 40.500 (45.011)	Prec@5 69.500 (75.559)
Epoch: [30][7680/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9759 (2.1727)	Prec@1 53.000 (45.012)	Prec@5 78.000 (75.559)
Epoch: [30][7690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2574 (2.1727)	Prec@1 42.500 (45.012)	Prec@5 70.500 (75.559)
Epoch: [30][7700/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0910 (2.1726)	Prec@1 45.500 (45.014)	Prec@5 78.000 (75.559)
Epoch: [30][7710/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0362 (2.1725)	Prec@1 45.500 (45.014)	Prec@5 78.000 (75.562)
Epoch: [30][7720/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.3776 (2.1725)	Prec@1 36.500 (45.014)	Prec@5 71.500 (75.563)
Epoch: [30][7730/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1053 (2.1725)	Prec@1 48.000 (45.014)	Prec@5 76.500 (75.562)
Epoch: [30][7740/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0202 (2.1725)	Prec@1 50.000 (45.016)	Prec@5 79.000 (75.563)
Epoch: [30][7750/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0556 (2.1724)	Prec@1 44.500 (45.018)	Prec@5 82.000 (75.565)
Epoch: [30][7760/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2495 (2.1724)	Prec@1 44.000 (45.018)	Prec@5 73.000 (75.566)
Epoch: [30][7770/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9048 (2.1723)	Prec@1 47.500 (45.019)	Prec@5 81.000 (75.566)
Epoch: [30][7780/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0649 (2.1723)	Prec@1 46.500 (45.020)	Prec@5 74.000 (75.567)
Epoch: [30][7790/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.3062 (2.1722)	Prec@1 44.000 (45.021)	Prec@5 72.500 (75.569)
Epoch: [30][7800/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 1.9299 (2.1721)	Prec@1 49.500 (45.022)	Prec@5 79.500 (75.570)
Epoch: [30][7810/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1123 (2.1720)	Prec@1 48.000 (45.025)	Prec@5 77.000 (75.572)
Epoch: [30][7820/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2538 (2.1720)	Prec@1 45.000 (45.027)	Prec@5 72.500 (75.571)
Epoch: [30][7830/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 1.9354 (2.1720)	Prec@1 50.000 (45.029)	Prec@5 79.500 (75.570)
Epoch: [30][7840/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.1647 (2.1719)	Prec@1 49.500 (45.030)	Prec@5 76.000 (75.572)
Epoch: [30][7850/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0548 (2.1718)	Prec@1 51.000 (45.033)	Prec@5 78.500 (75.575)
Epoch: [30][7860/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0277 (2.1717)	Prec@1 53.500 (45.037)	Prec@5 74.000 (75.576)
Epoch: [30][7870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9895 (2.1716)	Prec@1 49.000 (45.039)	Prec@5 77.000 (75.578)
Epoch: [30][7880/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.0437 (2.1715)	Prec@1 47.000 (45.041)	Prec@5 79.500 (75.580)
Epoch: [30][7890/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.9727 (2.1715)	Prec@1 52.000 (45.041)	Prec@5 79.000 (75.581)
Epoch: [30][7900/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.1760 (2.1715)	Prec@1 48.500 (45.041)	Prec@5 74.000 (75.580)
Epoch: [30][7910/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0419 (2.1714)	Prec@1 44.500 (45.043)	Prec@5 77.000 (75.582)
Epoch: [30][7920/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0637 (2.1715)	Prec@1 45.500 (45.041)	Prec@5 78.000 (75.581)
Epoch: [30][7930/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9823 (2.1714)	Prec@1 48.500 (45.042)	Prec@5 79.500 (75.581)
Epoch: [30][7940/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1917 (2.1714)	Prec@1 44.000 (45.043)	Prec@5 76.000 (75.582)
Epoch: [30][7950/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1223 (2.1713)	Prec@1 48.000 (45.043)	Prec@5 76.500 (75.582)
Epoch: [30][7960/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.2147 (2.1713)	Prec@1 41.500 (45.043)	Prec@5 73.000 (75.582)
Epoch: [30][7970/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0596 (2.1713)	Prec@1 43.000 (45.044)	Prec@5 79.000 (75.582)
Epoch: [30][7980/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0158 (2.1712)	Prec@1 48.000 (45.045)	Prec@5 78.500 (75.584)
Epoch: [30][7990/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2037 (2.1711)	Prec@1 46.000 (45.045)	Prec@5 76.000 (75.585)
Epoch: [30][8000/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0326 (2.1710)	Prec@1 51.500 (45.048)	Prec@5 77.000 (75.587)
Epoch: [30][8010/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1941 (2.1710)	Prec@1 42.000 (45.049)	Prec@5 74.500 (75.587)
Epoch: [30][8020/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.1971 (2.1709)	Prec@1 46.500 (45.051)	Prec@5 74.500 (75.588)
Epoch: [30][8030/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1612 (2.1708)	Prec@1 50.000 (45.052)	Prec@5 72.500 (75.589)
Epoch: [30][8040/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0826 (2.1707)	Prec@1 44.500 (45.055)	Prec@5 80.500 (75.591)
Epoch: [30][8050/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0489 (2.1707)	Prec@1 46.500 (45.055)	Prec@5 81.500 (75.591)
Epoch: [30][8060/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1208 (2.1705)	Prec@1 48.000 (45.060)	Prec@5 74.500 (75.594)
Epoch: [30][8070/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1949 (2.1704)	Prec@1 45.000 (45.061)	Prec@5 70.500 (75.593)
Epoch: [30][8080/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0692 (2.1703)	Prec@1 44.000 (45.062)	Prec@5 74.500 (75.596)
Epoch: [30][8090/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.9819 (2.1702)	Prec@1 45.000 (45.062)	Prec@5 79.000 (75.597)
Epoch: [30][8100/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.1444 (2.1702)	Prec@1 44.000 (45.065)	Prec@5 77.500 (75.598)
Epoch: [30][8110/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1322 (2.1700)	Prec@1 46.500 (45.067)	Prec@5 79.000 (75.601)
Epoch: [30][8120/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.0873 (2.1700)	Prec@1 43.000 (45.068)	Prec@5 78.000 (75.602)
Epoch: [30][8130/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1551 (2.1699)	Prec@1 48.500 (45.071)	Prec@5 75.000 (75.605)
Epoch: [30][8140/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0555 (2.1697)	Prec@1 47.000 (45.075)	Prec@5 79.000 (75.608)
Epoch: [30][8150/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0995 (2.1696)	Prec@1 45.500 (45.077)	Prec@5 74.000 (75.609)
Epoch: [30][8160/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 1.8885 (2.1695)	Prec@1 53.000 (45.081)	Prec@5 80.500 (75.612)
Epoch: [30][8170/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.0304 (2.1695)	Prec@1 49.500 (45.084)	Prec@5 77.000 (75.613)
Epoch: [30][8180/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0872 (2.1693)	Prec@1 46.500 (45.085)	Prec@5 76.000 (75.614)
Epoch: [30][8190/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1936 (2.1694)	Prec@1 48.500 (45.086)	Prec@5 76.500 (75.614)
Epoch: [30][8200/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.1743 (2.1693)	Prec@1 47.500 (45.086)	Prec@5 75.500 (75.616)
Epoch: [30][8210/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.0062 (2.1692)	Prec@1 51.000 (45.090)	Prec@5 76.000 (75.616)
Epoch: [30][8220/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.2338 (2.1692)	Prec@1 32.000 (45.090)	Prec@5 77.000 (75.618)
Epoch: [30][8230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9619 (2.1691)	Prec@1 48.500 (45.091)	Prec@5 78.500 (75.619)
Epoch: [30][8240/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1910 (2.1690)	Prec@1 45.000 (45.091)	Prec@5 76.000 (75.621)
Epoch: [30][8250/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.3712 (2.1690)	Prec@1 40.000 (45.089)	Prec@5 71.000 (75.620)
Epoch: [30][8260/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1850 (2.1690)	Prec@1 40.500 (45.090)	Prec@5 76.000 (75.621)
Epoch: [30][8270/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.1066 (2.1689)	Prec@1 43.000 (45.093)	Prec@5 78.500 (75.622)
Epoch: [30][8280/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9694 (2.1689)	Prec@1 50.000 (45.094)	Prec@5 79.500 (75.622)
Epoch: [30][8290/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.2237 (2.1688)	Prec@1 44.500 (45.095)	Prec@5 76.000 (75.623)
Epoch: [30][8300/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1885 (2.1688)	Prec@1 40.500 (45.094)	Prec@5 76.500 (75.625)
Epoch: [30][8310/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0908 (2.1687)	Prec@1 42.000 (45.095)	Prec@5 78.500 (75.626)
Epoch: [30][8320/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9517 (2.1686)	Prec@1 53.500 (45.097)	Prec@5 79.000 (75.627)
Epoch: [30][8330/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1604 (2.1685)	Prec@1 47.000 (45.100)	Prec@5 74.500 (75.627)
Epoch: [30][8340/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0673 (2.1686)	Prec@1 51.000 (45.101)	Prec@5 74.500 (75.627)
Epoch: [30][8350/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.0924 (2.1685)	Prec@1 45.500 (45.101)	Prec@5 77.500 (75.629)
Epoch: [30][8360/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.9424 (2.1683)	Prec@1 49.000 (45.103)	Prec@5 77.000 (75.633)
Epoch: [30][8370/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3534 (2.1683)	Prec@1 45.500 (45.103)	Prec@5 77.500 (75.633)
Epoch: [30][8380/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0528 (2.1682)	Prec@1 50.000 (45.104)	Prec@5 73.500 (75.635)
Epoch: [30][8390/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.1807 (2.1683)	Prec@1 46.000 (45.104)	Prec@5 77.000 (75.635)
Epoch: [30][8400/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2839 (2.1682)	Prec@1 41.000 (45.106)	Prec@5 69.500 (75.636)
Epoch: [30][8410/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.2117 (2.1681)	Prec@1 44.500 (45.107)	Prec@5 74.500 (75.637)
Epoch: [30][8420/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9931 (2.1681)	Prec@1 46.500 (45.107)	Prec@5 79.500 (75.638)
Epoch: [30][8430/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1585 (2.1680)	Prec@1 45.000 (45.110)	Prec@5 72.500 (75.640)
Epoch: [30][8440/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0629 (2.1679)	Prec@1 46.500 (45.111)	Prec@5 80.000 (75.642)
Epoch: [30][8450/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.1868 (2.1678)	Prec@1 42.000 (45.110)	Prec@5 78.000 (75.644)
Epoch: [30][8460/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1107 (2.1678)	Prec@1 49.000 (45.112)	Prec@5 75.500 (75.645)
Epoch: [30][8470/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.1735 (2.1677)	Prec@1 45.500 (45.112)	Prec@5 74.000 (75.644)
Epoch: [30][8480/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1670 (2.1677)	Prec@1 44.000 (45.114)	Prec@5 77.000 (75.644)
Epoch: [30][8490/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 2.3547 (2.1677)	Prec@1 42.500 (45.115)	Prec@5 72.500 (75.644)
Epoch: [30][8500/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.5683 (2.1677)	Prec@1 36.000 (45.114)	Prec@5 70.000 (75.643)
Epoch: [30][8510/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0564 (2.1676)	Prec@1 44.500 (45.115)	Prec@5 79.500 (75.644)
Epoch: [30][8520/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.2649 (2.1676)	Prec@1 44.000 (45.115)	Prec@5 75.500 (75.645)
Epoch: [30][8530/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1089 (2.1676)	Prec@1 46.000 (45.115)	Prec@5 76.500 (75.646)
Epoch: [30][8540/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.3327 (2.1675)	Prec@1 42.000 (45.115)	Prec@5 73.000 (75.645)
Epoch: [30][8550/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9946 (2.1674)	Prec@1 47.500 (45.117)	Prec@5 79.000 (75.648)
Epoch: [30][8560/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0207 (2.1673)	Prec@1 47.000 (45.117)	Prec@5 75.500 (75.650)
Epoch: [30][8570/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.1065 (2.1673)	Prec@1 46.000 (45.119)	Prec@5 77.500 (75.650)
Epoch: [30][8580/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.1693 (2.1672)	Prec@1 42.000 (45.121)	Prec@5 77.000 (75.652)
Epoch: [30][8590/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2566 (2.1670)	Prec@1 44.500 (45.122)	Prec@5 72.500 (75.653)
Epoch: [30][8600/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.2755 (2.1671)	Prec@1 47.500 (45.123)	Prec@5 72.000 (75.652)
Epoch: [30][8610/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.8793 (2.1670)	Prec@1 48.000 (45.124)	Prec@5 81.500 (75.652)
Epoch: [30][8620/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1875 (2.1669)	Prec@1 46.500 (45.126)	Prec@5 76.000 (75.655)
Epoch: [30][8630/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2244 (2.1668)	Prec@1 46.500 (45.126)	Prec@5 73.000 (75.654)
Epoch: [30][8640/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2071 (2.1668)	Prec@1 44.500 (45.127)	Prec@5 73.000 (75.654)
Epoch: [30][8650/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.2585 (2.1668)	Prec@1 45.000 (45.127)	Prec@5 73.500 (75.655)
Epoch: [30][8660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8931 (2.1667)	Prec@1 50.500 (45.129)	Prec@5 81.500 (75.656)
Epoch: [30][8670/9018]	Time 0.653 (0.615)	Data 0.001 (0.001)	Loss 2.1071 (2.1667)	Prec@1 47.500 (45.130)	Prec@5 75.500 (75.656)
Epoch: [30][8680/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.2823 (2.1666)	Prec@1 42.000 (45.132)	Prec@5 70.000 (75.656)
Epoch: [30][8690/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0982 (2.1666)	Prec@1 47.000 (45.133)	Prec@5 74.000 (75.656)
Epoch: [30][8700/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1360 (2.1664)	Prec@1 45.500 (45.136)	Prec@5 77.000 (75.659)
Epoch: [30][8710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1745 (2.1664)	Prec@1 41.000 (45.134)	Prec@5 78.500 (75.660)
Epoch: [30][8720/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.2420 (2.1664)	Prec@1 43.500 (45.135)	Prec@5 75.000 (75.660)
Epoch: [30][8730/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9608 (2.1664)	Prec@1 48.500 (45.134)	Prec@5 76.000 (75.660)
Epoch: [30][8740/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1050 (2.1664)	Prec@1 44.500 (45.136)	Prec@5 79.000 (75.661)
Epoch: [30][8750/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0943 (2.1664)	Prec@1 48.000 (45.136)	Prec@5 79.000 (75.660)
Epoch: [30][8760/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2625 (2.1664)	Prec@1 41.500 (45.135)	Prec@5 75.000 (75.661)
Epoch: [30][8770/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.9814 (2.1664)	Prec@1 50.000 (45.136)	Prec@5 82.000 (75.662)
Epoch: [30][8780/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0664 (2.1664)	Prec@1 46.000 (45.137)	Prec@5 78.500 (75.662)
Epoch: [30][8790/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0798 (2.1663)	Prec@1 46.500 (45.137)	Prec@5 77.500 (75.663)
Epoch: [30][8800/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1258 (2.1663)	Prec@1 46.500 (45.139)	Prec@5 77.000 (75.666)
Epoch: [30][8810/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3137 (2.1662)	Prec@1 40.500 (45.138)	Prec@5 73.500 (75.667)
Epoch: [30][8820/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.1489 (2.1661)	Prec@1 45.500 (45.140)	Prec@5 76.000 (75.669)
Epoch: [30][8830/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1516 (2.1660)	Prec@1 42.500 (45.142)	Prec@5 76.500 (75.672)
Epoch: [30][8840/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1585 (2.1659)	Prec@1 48.000 (45.142)	Prec@5 73.000 (75.674)
Epoch: [30][8850/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8382 (2.1658)	Prec@1 53.500 (45.145)	Prec@5 80.000 (75.676)
Epoch: [30][8860/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9844 (2.1658)	Prec@1 45.500 (45.146)	Prec@5 78.500 (75.677)
Epoch: [30][8870/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 2.1081 (2.1657)	Prec@1 41.500 (45.146)	Prec@5 76.500 (75.677)
Epoch: [30][8880/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0338 (2.1656)	Prec@1 45.500 (45.148)	Prec@5 81.000 (75.680)
Epoch: [30][8890/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1590 (2.1656)	Prec@1 43.500 (45.149)	Prec@5 70.500 (75.681)
Epoch: [30][8900/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.2362 (2.1655)	Prec@1 43.500 (45.151)	Prec@5 78.000 (75.683)
Epoch: [30][8910/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0310 (2.1654)	Prec@1 51.000 (45.153)	Prec@5 83.500 (75.685)
Epoch: [30][8920/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.2088 (2.1653)	Prec@1 47.500 (45.155)	Prec@5 74.500 (75.687)
Epoch: [30][8930/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9444 (2.1653)	Prec@1 49.500 (45.155)	Prec@5 82.500 (75.689)
Epoch: [30][8940/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9902 (2.1652)	Prec@1 47.500 (45.156)	Prec@5 78.000 (75.689)
Epoch: [30][8950/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0468 (2.1652)	Prec@1 47.500 (45.154)	Prec@5 78.000 (75.688)
Epoch: [30][8960/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0392 (2.1652)	Prec@1 47.000 (45.155)	Prec@5 77.000 (75.689)
Epoch: [30][8970/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0508 (2.1651)	Prec@1 48.500 (45.156)	Prec@5 79.000 (75.690)
Epoch: [30][8980/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3546 (2.1651)	Prec@1 48.500 (45.157)	Prec@5 74.000 (75.690)
Epoch: [30][8990/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0226 (2.1651)	Prec@1 50.000 (45.158)	Prec@5 78.500 (75.691)
Epoch: [30][9000/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.1940 (2.1650)	Prec@1 48.000 (45.159)	Prec@5 75.000 (75.692)
Epoch: [30][9010/9018]	Time 0.592 (0.615)	Data 0.000 (0.001)	Loss 1.9464 (2.1650)	Prec@1 52.000 (45.158)	Prec@5 79.000 (75.692)
Test: [0/183]	Time 1.503 (1.503)	Loss 2.6124 (2.6124)	Prec@1 32.000 (32.000)	Prec@5 67.000 (67.000)
Test: [10/183]	Time 0.204 (0.313)	Loss 1.6545 (1.7558)	Prec@1 61.000 (53.364)	Prec@5 83.500 (84.273)
Test: [20/183]	Time 0.188 (0.262)	Loss 2.2451 (1.7705)	Prec@1 42.000 (52.643)	Prec@5 76.000 (83.738)
Test: [30/183]	Time 0.182 (0.238)	Loss 2.3392 (1.7768)	Prec@1 32.000 (52.065)	Prec@5 73.500 (83.694)
Test: [40/183]	Time 0.197 (0.229)	Loss 2.4845 (1.7646)	Prec@1 31.500 (52.951)	Prec@5 74.000 (83.293)
Test: [50/183]	Time 0.267 (0.223)	Loss 1.7640 (1.7298)	Prec@1 50.500 (53.951)	Prec@5 88.000 (83.814)
Test: [60/183]	Time 0.185 (0.218)	Loss 2.2035 (1.7932)	Prec@1 48.000 (51.975)	Prec@5 74.500 (82.893)
Test: [70/183]	Time 0.187 (0.215)	Loss 1.8561 (1.7855)	Prec@1 51.000 (51.958)	Prec@5 83.500 (83.239)
Test: [80/183]	Time 0.201 (0.212)	Loss 1.3684 (1.7695)	Prec@1 61.000 (52.179)	Prec@5 93.500 (83.414)
Test: [90/183]	Time 0.184 (0.210)	Loss 2.4129 (1.7712)	Prec@1 35.500 (52.286)	Prec@5 75.500 (83.357)
Test: [100/183]	Time 0.249 (0.209)	Loss 0.8285 (1.7712)	Prec@1 72.500 (52.272)	Prec@5 94.500 (83.381)
Test: [110/183]	Time 0.190 (0.207)	Loss 0.7823 (1.7724)	Prec@1 81.500 (52.167)	Prec@5 96.500 (83.293)
Test: [120/183]	Time 0.191 (0.206)	Loss 2.2039 (1.7756)	Prec@1 42.000 (52.041)	Prec@5 73.500 (83.256)
Test: [130/183]	Time 0.188 (0.205)	Loss 3.1064 (1.7847)	Prec@1 15.000 (51.779)	Prec@5 67.500 (83.282)
Test: [140/183]	Time 0.185 (0.205)	Loss 1.6264 (1.7753)	Prec@1 56.500 (52.156)	Prec@5 84.000 (83.433)
Test: [150/183]	Time 0.248 (0.204)	Loss 0.6826 (1.7673)	Prec@1 78.500 (52.401)	Prec@5 99.000 (83.510)
Test: [160/183]	Time 0.203 (0.203)	Loss 1.6843 (1.7665)	Prec@1 53.500 (52.543)	Prec@5 83.000 (83.475)
Test: [170/183]	Time 0.181 (0.202)	Loss 2.5253 (1.7888)	Prec@1 28.500 (52.020)	Prec@5 75.500 (83.102)
Test: [180/183]	Time 0.192 (0.202)	Loss 2.0386 (1.7960)	Prec@1 46.000 (51.903)	Prec@5 81.000 (83.003)
 * Prec@1 51.910 Prec@5 82.995
Epoch: [31][0/9018]	Time 2.989 (2.989)	Data 2.278 (2.278)	Loss 1.9499 (1.9499)	Prec@1 48.000 (48.000)	Prec@5 81.000 (81.000)
Epoch: [31][10/9018]	Time 0.593 (0.813)	Data 0.001 (0.208)	Loss 1.8966 (2.0644)	Prec@1 50.000 (47.364)	Prec@5 80.000 (77.364)
Epoch: [31][20/9018]	Time 0.595 (0.714)	Data 0.001 (0.109)	Loss 2.5088 (2.1351)	Prec@1 40.500 (46.571)	Prec@5 70.000 (76.048)
Epoch: [31][30/9018]	Time 0.593 (0.676)	Data 0.001 (0.074)	Loss 2.2932 (2.1102)	Prec@1 40.500 (46.274)	Prec@5 75.000 (76.871)
Epoch: [31][40/9018]	Time 0.603 (0.660)	Data 0.001 (0.056)	Loss 1.9286 (2.0987)	Prec@1 52.500 (46.500)	Prec@5 79.500 (77.146)
Epoch: [31][50/9018]	Time 0.612 (0.653)	Data 0.001 (0.045)	Loss 1.9892 (2.0959)	Prec@1 51.500 (46.608)	Prec@5 77.000 (77.324)
Epoch: [31][60/9018]	Time 0.618 (0.644)	Data 0.001 (0.038)	Loss 2.1504 (2.0875)	Prec@1 44.000 (46.779)	Prec@5 73.000 (77.279)
Epoch: [31][70/9018]	Time 0.607 (0.643)	Data 0.001 (0.033)	Loss 2.0493 (2.0687)	Prec@1 45.000 (47.134)	Prec@5 76.000 (77.444)
Epoch: [31][80/9018]	Time 0.611 (0.639)	Data 0.001 (0.029)	Loss 1.9941 (2.0741)	Prec@1 51.000 (47.056)	Prec@5 80.000 (77.302)
Epoch: [31][90/9018]	Time 0.605 (0.637)	Data 0.001 (0.026)	Loss 2.0559 (2.0700)	Prec@1 49.000 (47.104)	Prec@5 78.000 (77.368)
Epoch: [31][100/9018]	Time 0.600 (0.636)	Data 0.001 (0.023)	Loss 2.0905 (2.0681)	Prec@1 47.500 (47.183)	Prec@5 75.000 (77.446)
Epoch: [31][110/9018]	Time 0.595 (0.633)	Data 0.001 (0.021)	Loss 2.0905 (2.0708)	Prec@1 48.000 (47.068)	Prec@5 76.500 (77.351)
Epoch: [31][120/9018]	Time 0.595 (0.632)	Data 0.001 (0.020)	Loss 2.2917 (2.0739)	Prec@1 44.000 (47.021)	Prec@5 76.500 (77.364)
Epoch: [31][130/9018]	Time 0.616 (0.630)	Data 0.001 (0.018)	Loss 2.1239 (2.0760)	Prec@1 45.000 (47.061)	Prec@5 78.500 (77.363)
Epoch: [31][140/9018]	Time 0.599 (0.630)	Data 0.001 (0.017)	Loss 2.0091 (2.0778)	Prec@1 43.000 (46.858)	Prec@5 83.000 (77.426)
Epoch: [31][150/9018]	Time 0.617 (0.629)	Data 0.001 (0.016)	Loss 2.1751 (2.0751)	Prec@1 42.000 (46.944)	Prec@5 77.000 (77.447)
Epoch: [31][160/9018]	Time 0.633 (0.629)	Data 0.001 (0.015)	Loss 2.0906 (2.0772)	Prec@1 43.000 (46.795)	Prec@5 78.500 (77.376)
Epoch: [31][170/9018]	Time 0.600 (0.628)	Data 0.001 (0.014)	Loss 2.1739 (2.0762)	Prec@1 45.000 (46.851)	Prec@5 73.500 (77.354)
Epoch: [31][180/9018]	Time 0.614 (0.627)	Data 0.001 (0.013)	Loss 2.2056 (2.0724)	Prec@1 46.000 (46.928)	Prec@5 75.500 (77.467)
Epoch: [31][190/9018]	Time 0.593 (0.626)	Data 0.001 (0.013)	Loss 2.2413 (2.0714)	Prec@1 42.500 (46.916)	Prec@5 74.500 (77.505)
Epoch: [31][200/9018]	Time 0.600 (0.626)	Data 0.001 (0.012)	Loss 2.1305 (2.0719)	Prec@1 47.000 (46.998)	Prec@5 76.500 (77.443)
Epoch: [31][210/9018]	Time 0.600 (0.625)	Data 0.001 (0.012)	Loss 2.1769 (2.0715)	Prec@1 44.500 (47.000)	Prec@5 77.000 (77.491)
Epoch: [31][220/9018]	Time 0.601 (0.625)	Data 0.001 (0.011)	Loss 2.0498 (2.0745)	Prec@1 48.500 (46.946)	Prec@5 78.000 (77.428)
Epoch: [31][230/9018]	Time 0.784 (0.625)	Data 0.001 (0.011)	Loss 1.9710 (2.0756)	Prec@1 51.500 (46.911)	Prec@5 77.500 (77.390)
Epoch: [31][240/9018]	Time 0.599 (0.624)	Data 0.001 (0.010)	Loss 2.0640 (2.0746)	Prec@1 48.000 (46.944)	Prec@5 77.000 (77.417)
Epoch: [31][250/9018]	Time 0.606 (0.624)	Data 0.001 (0.010)	Loss 2.0352 (2.0734)	Prec@1 50.000 (46.920)	Prec@5 78.000 (77.452)
Epoch: [31][260/9018]	Time 0.621 (0.623)	Data 0.001 (0.010)	Loss 2.1704 (2.0721)	Prec@1 44.500 (46.925)	Prec@5 73.500 (77.450)
Epoch: [31][270/9018]	Time 0.600 (0.623)	Data 0.001 (0.009)	Loss 2.1189 (2.0733)	Prec@1 43.000 (46.845)	Prec@5 77.500 (77.450)
Epoch: [31][280/9018]	Time 0.711 (0.623)	Data 0.001 (0.009)	Loss 2.2297 (2.0722)	Prec@1 43.500 (46.877)	Prec@5 74.500 (77.448)
Epoch: [31][290/9018]	Time 0.603 (0.623)	Data 0.001 (0.009)	Loss 1.9597 (2.0729)	Prec@1 49.500 (46.890)	Prec@5 81.500 (77.421)
Epoch: [31][300/9018]	Time 0.593 (0.622)	Data 0.001 (0.008)	Loss 2.0536 (2.0709)	Prec@1 45.500 (46.887)	Prec@5 75.500 (77.467)
Epoch: [31][310/9018]	Time 0.635 (0.622)	Data 0.001 (0.008)	Loss 1.7428 (2.0723)	Prec@1 52.000 (46.854)	Prec@5 81.500 (77.432)
Epoch: [31][320/9018]	Time 0.594 (0.622)	Data 0.001 (0.008)	Loss 2.0153 (2.0711)	Prec@1 51.000 (46.830)	Prec@5 78.000 (77.439)
Epoch: [31][330/9018]	Time 0.645 (0.622)	Data 0.001 (0.008)	Loss 2.3327 (2.0744)	Prec@1 42.000 (46.790)	Prec@5 77.000 (77.396)
Epoch: [31][340/9018]	Time 0.614 (0.622)	Data 0.001 (0.007)	Loss 2.1965 (2.0740)	Prec@1 41.500 (46.774)	Prec@5 76.000 (77.411)
Epoch: [31][350/9018]	Time 0.594 (0.622)	Data 0.001 (0.007)	Loss 2.2322 (2.0746)	Prec@1 43.500 (46.752)	Prec@5 71.500 (77.390)
Epoch: [31][360/9018]	Time 0.592 (0.621)	Data 0.001 (0.007)	Loss 2.1513 (2.0748)	Prec@1 46.000 (46.735)	Prec@5 76.000 (77.395)
Epoch: [31][370/9018]	Time 0.598 (0.621)	Data 0.001 (0.007)	Loss 2.2181 (2.0761)	Prec@1 41.500 (46.691)	Prec@5 75.000 (77.369)
Epoch: [31][380/9018]	Time 0.627 (0.621)	Data 0.001 (0.007)	Loss 1.8367 (2.0754)	Prec@1 51.000 (46.698)	Prec@5 81.000 (77.390)
Epoch: [31][390/9018]	Time 0.605 (0.621)	Data 0.001 (0.007)	Loss 2.3553 (2.0768)	Prec@1 39.000 (46.666)	Prec@5 77.500 (77.393)
Epoch: [31][400/9018]	Time 0.601 (0.621)	Data 0.001 (0.006)	Loss 1.8739 (2.0759)	Prec@1 53.500 (46.712)	Prec@5 81.500 (77.390)
Epoch: [31][410/9018]	Time 0.610 (0.621)	Data 0.001 (0.006)	Loss 1.9591 (2.0773)	Prec@1 52.500 (46.710)	Prec@5 80.500 (77.353)
Epoch: [31][420/9018]	Time 0.601 (0.621)	Data 0.001 (0.006)	Loss 1.8851 (2.0767)	Prec@1 53.000 (46.714)	Prec@5 79.500 (77.344)
Epoch: [31][430/9018]	Time 0.594 (0.621)	Data 0.001 (0.006)	Loss 1.8870 (2.0759)	Prec@1 46.000 (46.738)	Prec@5 81.500 (77.348)
Epoch: [31][440/9018]	Time 0.617 (0.621)	Data 0.001 (0.006)	Loss 1.9352 (2.0761)	Prec@1 51.500 (46.771)	Prec@5 80.000 (77.348)
Epoch: [31][450/9018]	Time 0.607 (0.621)	Data 0.001 (0.006)	Loss 2.0212 (2.0754)	Prec@1 50.000 (46.787)	Prec@5 78.500 (77.368)
Epoch: [31][460/9018]	Time 0.601 (0.620)	Data 0.001 (0.006)	Loss 1.9487 (2.0755)	Prec@1 51.500 (46.808)	Prec@5 77.000 (77.364)
Epoch: [31][470/9018]	Time 0.607 (0.620)	Data 0.001 (0.006)	Loss 2.0801 (2.0754)	Prec@1 50.000 (46.816)	Prec@5 77.000 (77.373)
Epoch: [31][480/9018]	Time 0.598 (0.620)	Data 0.001 (0.006)	Loss 1.9659 (2.0752)	Prec@1 50.000 (46.835)	Prec@5 76.000 (77.369)
Epoch: [31][490/9018]	Time 0.600 (0.620)	Data 0.001 (0.005)	Loss 1.9350 (2.0773)	Prec@1 46.500 (46.790)	Prec@5 81.500 (77.312)
Epoch: [31][500/9018]	Time 0.599 (0.620)	Data 0.001 (0.005)	Loss 2.1020 (2.0774)	Prec@1 45.000 (46.798)	Prec@5 78.000 (77.298)
Epoch: [31][510/9018]	Time 0.618 (0.620)	Data 0.001 (0.005)	Loss 2.1230 (2.0775)	Prec@1 44.500 (46.799)	Prec@5 79.000 (77.308)
Epoch: [31][520/9018]	Time 0.602 (0.620)	Data 0.001 (0.005)	Loss 2.2132 (2.0765)	Prec@1 44.500 (46.805)	Prec@5 75.000 (77.323)
Epoch: [31][530/9018]	Time 0.601 (0.620)	Data 0.001 (0.005)	Loss 2.0005 (2.0760)	Prec@1 46.500 (46.809)	Prec@5 77.000 (77.326)
Epoch: [31][540/9018]	Time 0.629 (0.619)	Data 0.001 (0.005)	Loss 2.0756 (2.0760)	Prec@1 48.500 (46.800)	Prec@5 78.500 (77.323)
Epoch: [31][550/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 2.1478 (2.0765)	Prec@1 45.000 (46.805)	Prec@5 76.000 (77.313)
Epoch: [31][560/9018]	Time 0.756 (0.619)	Data 0.001 (0.005)	Loss 2.0655 (2.0763)	Prec@1 47.000 (46.811)	Prec@5 77.000 (77.315)
Epoch: [31][570/9018]	Time 0.613 (0.619)	Data 0.001 (0.005)	Loss 1.8638 (2.0762)	Prec@1 51.000 (46.793)	Prec@5 79.500 (77.314)
Epoch: [31][580/9018]	Time 0.620 (0.619)	Data 0.001 (0.005)	Loss 2.0745 (2.0765)	Prec@1 43.500 (46.791)	Prec@5 83.000 (77.324)
Epoch: [31][590/9018]	Time 0.592 (0.619)	Data 0.001 (0.005)	Loss 2.1367 (2.0771)	Prec@1 44.500 (46.759)	Prec@5 72.500 (77.288)
Epoch: [31][600/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 1.9669 (2.0766)	Prec@1 48.000 (46.787)	Prec@5 80.000 (77.285)
Epoch: [31][610/9018]	Time 0.719 (0.619)	Data 0.001 (0.005)	Loss 1.9772 (2.0777)	Prec@1 46.500 (46.768)	Prec@5 81.500 (77.280)
Epoch: [31][620/9018]	Time 0.595 (0.619)	Data 0.001 (0.004)	Loss 2.1822 (2.0779)	Prec@1 47.000 (46.774)	Prec@5 73.500 (77.263)
Epoch: [31][630/9018]	Time 0.625 (0.619)	Data 0.001 (0.004)	Loss 2.0854 (2.0785)	Prec@1 48.000 (46.758)	Prec@5 74.500 (77.254)
Epoch: [31][640/9018]	Time 0.590 (0.619)	Data 0.001 (0.004)	Loss 2.1095 (2.0786)	Prec@1 44.000 (46.750)	Prec@5 78.000 (77.250)
Epoch: [31][650/9018]	Time 0.594 (0.619)	Data 0.001 (0.004)	Loss 2.1199 (2.0787)	Prec@1 44.000 (46.748)	Prec@5 76.000 (77.237)
Epoch: [31][660/9018]	Time 0.613 (0.619)	Data 0.001 (0.004)	Loss 2.1677 (2.0792)	Prec@1 47.500 (46.744)	Prec@5 73.000 (77.220)
Epoch: [31][670/9018]	Time 0.630 (0.619)	Data 0.001 (0.004)	Loss 1.7527 (2.0783)	Prec@1 45.500 (46.754)	Prec@5 88.000 (77.263)
Epoch: [31][680/9018]	Time 0.604 (0.619)	Data 0.001 (0.004)	Loss 1.7684 (2.0795)	Prec@1 52.000 (46.733)	Prec@5 80.500 (77.229)
Epoch: [31][690/9018]	Time 0.626 (0.619)	Data 0.001 (0.004)	Loss 2.0932 (2.0793)	Prec@1 44.500 (46.724)	Prec@5 79.000 (77.229)
Epoch: [31][700/9018]	Time 0.606 (0.619)	Data 0.001 (0.004)	Loss 2.1002 (2.0801)	Prec@1 48.000 (46.717)	Prec@5 77.500 (77.220)
Epoch: [31][710/9018]	Time 0.618 (0.619)	Data 0.001 (0.004)	Loss 2.1867 (2.0804)	Prec@1 41.500 (46.681)	Prec@5 76.500 (77.219)
Epoch: [31][720/9018]	Time 0.625 (0.619)	Data 0.001 (0.004)	Loss 2.0543 (2.0796)	Prec@1 47.000 (46.709)	Prec@5 78.500 (77.237)
Epoch: [31][730/9018]	Time 0.597 (0.619)	Data 0.001 (0.004)	Loss 2.0016 (2.0800)	Prec@1 47.500 (46.692)	Prec@5 82.000 (77.240)
Epoch: [31][740/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 2.0235 (2.0793)	Prec@1 45.500 (46.706)	Prec@5 79.000 (77.254)
Epoch: [31][750/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 1.9079 (2.0795)	Prec@1 48.500 (46.711)	Prec@5 82.000 (77.258)
Epoch: [31][760/9018]	Time 0.617 (0.619)	Data 0.001 (0.004)	Loss 1.9492 (2.0785)	Prec@1 48.000 (46.734)	Prec@5 80.000 (77.261)
Epoch: [31][770/9018]	Time 0.600 (0.619)	Data 0.001 (0.004)	Loss 2.0726 (2.0789)	Prec@1 47.000 (46.736)	Prec@5 80.000 (77.259)
Epoch: [31][780/9018]	Time 0.597 (0.619)	Data 0.001 (0.004)	Loss 1.8204 (2.0786)	Prec@1 52.500 (46.747)	Prec@5 77.000 (77.254)
Epoch: [31][790/9018]	Time 0.610 (0.618)	Data 0.001 (0.004)	Loss 2.2192 (2.0795)	Prec@1 46.500 (46.743)	Prec@5 77.500 (77.233)
Epoch: [31][800/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 1.7633 (2.0797)	Prec@1 55.000 (46.752)	Prec@5 81.500 (77.230)
Epoch: [31][810/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.2084 (2.0801)	Prec@1 42.500 (46.742)	Prec@5 75.000 (77.223)
Epoch: [31][820/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 1.9459 (2.0800)	Prec@1 46.500 (46.736)	Prec@5 80.500 (77.234)
Epoch: [31][830/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 1.9083 (2.0803)	Prec@1 52.000 (46.726)	Prec@5 80.000 (77.228)
Epoch: [31][840/9018]	Time 0.628 (0.618)	Data 0.001 (0.003)	Loss 2.0159 (2.0810)	Prec@1 47.000 (46.710)	Prec@5 79.500 (77.234)
Epoch: [31][850/9018]	Time 0.611 (0.618)	Data 0.004 (0.003)	Loss 2.0918 (2.0816)	Prec@1 47.500 (46.712)	Prec@5 76.000 (77.226)
Epoch: [31][860/9018]	Time 0.635 (0.618)	Data 0.001 (0.003)	Loss 1.9426 (2.0820)	Prec@1 47.500 (46.710)	Prec@5 79.000 (77.222)
Epoch: [31][870/9018]	Time 0.644 (0.618)	Data 0.001 (0.003)	Loss 1.9718 (2.0819)	Prec@1 44.000 (46.722)	Prec@5 77.500 (77.219)
Epoch: [31][880/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 2.1724 (2.0824)	Prec@1 45.500 (46.709)	Prec@5 78.000 (77.215)
Epoch: [31][890/9018]	Time 0.742 (0.618)	Data 0.001 (0.003)	Loss 2.0827 (2.0826)	Prec@1 48.500 (46.715)	Prec@5 77.000 (77.214)
Epoch: [31][900/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.7917 (2.0821)	Prec@1 53.000 (46.731)	Prec@5 85.000 (77.219)
Epoch: [31][910/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 2.1940 (2.0825)	Prec@1 43.500 (46.715)	Prec@5 74.000 (77.212)
Epoch: [31][920/9018]	Time 0.611 (0.618)	Data 0.001 (0.003)	Loss 2.0626 (2.0825)	Prec@1 50.000 (46.735)	Prec@5 74.500 (77.217)
Epoch: [31][930/9018]	Time 0.630 (0.618)	Data 0.001 (0.003)	Loss 2.2697 (2.0833)	Prec@1 44.500 (46.725)	Prec@5 72.000 (77.187)
Epoch: [31][940/9018]	Time 0.730 (0.618)	Data 0.001 (0.003)	Loss 2.2842 (2.0842)	Prec@1 41.000 (46.707)	Prec@5 73.000 (77.167)
Epoch: [31][950/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 2.3253 (2.0848)	Prec@1 34.500 (46.666)	Prec@5 75.500 (77.164)
Epoch: [31][960/9018]	Time 0.591 (0.618)	Data 0.001 (0.003)	Loss 2.1199 (2.0853)	Prec@1 43.500 (46.656)	Prec@5 78.500 (77.154)
Epoch: [31][970/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 2.2564 (2.0858)	Prec@1 43.500 (46.652)	Prec@5 72.500 (77.151)
Epoch: [31][980/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 2.0287 (2.0864)	Prec@1 44.000 (46.644)	Prec@5 81.500 (77.145)
Epoch: [31][990/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 2.1108 (2.0863)	Prec@1 44.500 (46.640)	Prec@5 76.500 (77.150)
Epoch: [31][1000/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 2.1510 (2.0863)	Prec@1 48.000 (46.625)	Prec@5 77.000 (77.153)
Epoch: [31][1010/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 2.3166 (2.0864)	Prec@1 44.000 (46.631)	Prec@5 72.000 (77.146)
Epoch: [31][1020/9018]	Time 0.638 (0.618)	Data 0.001 (0.003)	Loss 2.1765 (2.0866)	Prec@1 46.000 (46.631)	Prec@5 76.000 (77.149)
Epoch: [31][1030/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.9106 (2.0864)	Prec@1 50.500 (46.652)	Prec@5 80.500 (77.152)
Epoch: [31][1040/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 2.2570 (2.0862)	Prec@1 44.000 (46.648)	Prec@5 74.000 (77.159)
Epoch: [31][1050/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 2.0955 (2.0857)	Prec@1 48.000 (46.659)	Prec@5 75.500 (77.165)
Epoch: [31][1060/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 2.0100 (2.0857)	Prec@1 49.500 (46.663)	Prec@5 80.000 (77.162)
Epoch: [31][1070/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 2.2670 (2.0857)	Prec@1 41.000 (46.668)	Prec@5 76.000 (77.165)
Epoch: [31][1080/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.9158 (2.0859)	Prec@1 53.500 (46.654)	Prec@5 79.000 (77.165)
Epoch: [31][1090/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 1.8917 (2.0860)	Prec@1 53.500 (46.668)	Prec@5 80.000 (77.165)
Epoch: [31][1100/9018]	Time 0.612 (0.618)	Data 0.001 (0.003)	Loss 2.0285 (2.0855)	Prec@1 49.000 (46.675)	Prec@5 79.000 (77.180)
Epoch: [31][1110/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 2.0615 (2.0859)	Prec@1 44.000 (46.665)	Prec@5 77.500 (77.169)
Epoch: [31][1120/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 2.0057 (2.0859)	Prec@1 49.500 (46.659)	Prec@5 78.500 (77.169)
Epoch: [31][1130/9018]	Time 0.612 (0.618)	Data 0.001 (0.003)	Loss 2.1145 (2.0859)	Prec@1 45.500 (46.666)	Prec@5 80.500 (77.180)
Epoch: [31][1140/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 2.2070 (2.0857)	Prec@1 39.500 (46.668)	Prec@5 75.000 (77.177)
Epoch: [31][1150/9018]	Time 0.609 (0.618)	Data 0.001 (0.003)	Loss 2.0196 (2.0856)	Prec@1 51.000 (46.676)	Prec@5 80.500 (77.176)
Epoch: [31][1160/9018]	Time 0.633 (0.618)	Data 0.001 (0.003)	Loss 2.0288 (2.0862)	Prec@1 48.000 (46.660)	Prec@5 76.500 (77.161)
Epoch: [31][1170/9018]	Time 0.635 (0.618)	Data 0.001 (0.003)	Loss 1.9920 (2.0861)	Prec@1 48.500 (46.663)	Prec@5 79.000 (77.162)
Epoch: [31][1180/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.7330 (2.0859)	Prec@1 51.500 (46.672)	Prec@5 80.500 (77.161)
Epoch: [31][1190/9018]	Time 0.622 (0.618)	Data 0.001 (0.003)	Loss 2.1118 (2.0860)	Prec@1 49.500 (46.685)	Prec@5 79.500 (77.163)
Epoch: [31][1200/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 2.1613 (2.0856)	Prec@1 45.000 (46.696)	Prec@5 76.500 (77.169)
Epoch: [31][1210/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 2.2294 (2.0860)	Prec@1 46.500 (46.697)	Prec@5 72.500 (77.152)
Epoch: [31][1220/9018]	Time 0.729 (0.618)	Data 0.001 (0.003)	Loss 1.9944 (2.0863)	Prec@1 50.500 (46.685)	Prec@5 78.000 (77.150)
Epoch: [31][1230/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 2.1168 (2.0861)	Prec@1 46.000 (46.699)	Prec@5 75.500 (77.149)
Epoch: [31][1240/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 2.0555 (2.0859)	Prec@1 48.500 (46.707)	Prec@5 75.000 (77.149)
Epoch: [31][1250/9018]	Time 0.633 (0.618)	Data 0.002 (0.003)	Loss 2.1209 (2.0858)	Prec@1 45.500 (46.713)	Prec@5 76.000 (77.155)
Epoch: [31][1260/9018]	Time 0.592 (0.618)	Data 0.001 (0.003)	Loss 1.9998 (2.0855)	Prec@1 45.500 (46.715)	Prec@5 79.000 (77.159)
Epoch: [31][1270/9018]	Time 0.729 (0.618)	Data 0.001 (0.003)	Loss 1.8909 (2.0854)	Prec@1 56.000 (46.717)	Prec@5 80.000 (77.163)
Epoch: [31][1280/9018]	Time 0.635 (0.618)	Data 0.001 (0.003)	Loss 2.2282 (2.0856)	Prec@1 40.500 (46.724)	Prec@5 76.500 (77.158)
Epoch: [31][1290/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.9895 (2.0859)	Prec@1 47.000 (46.723)	Prec@5 78.000 (77.149)
Epoch: [31][1300/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.3010 (2.0863)	Prec@1 47.500 (46.724)	Prec@5 74.000 (77.146)
Epoch: [31][1310/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 2.0240 (2.0862)	Prec@1 47.000 (46.727)	Prec@5 79.000 (77.143)
Epoch: [31][1320/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 2.2164 (2.0862)	Prec@1 43.500 (46.725)	Prec@5 73.000 (77.135)
Epoch: [31][1330/9018]	Time 0.596 (0.618)	Data 0.001 (0.002)	Loss 2.1289 (2.0860)	Prec@1 44.500 (46.731)	Prec@5 76.000 (77.136)
Epoch: [31][1340/9018]	Time 0.617 (0.618)	Data 0.001 (0.002)	Loss 2.1461 (2.0864)	Prec@1 44.000 (46.721)	Prec@5 80.500 (77.132)
Epoch: [31][1350/9018]	Time 0.636 (0.618)	Data 0.001 (0.002)	Loss 2.0141 (2.0866)	Prec@1 49.500 (46.711)	Prec@5 77.000 (77.126)
Epoch: [31][1360/9018]	Time 0.604 (0.618)	Data 0.001 (0.002)	Loss 2.1131 (2.0870)	Prec@1 46.000 (46.697)	Prec@5 78.000 (77.123)
Epoch: [31][1370/9018]	Time 0.625 (0.618)	Data 0.001 (0.002)	Loss 2.1446 (2.0872)	Prec@1 45.000 (46.693)	Prec@5 75.000 (77.113)
Epoch: [31][1380/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 2.0436 (2.0877)	Prec@1 45.500 (46.685)	Prec@5 81.500 (77.104)
Epoch: [31][1390/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.0843 (2.0880)	Prec@1 45.500 (46.676)	Prec@5 76.500 (77.090)
Epoch: [31][1400/9018]	Time 0.616 (0.617)	Data 0.001 (0.002)	Loss 2.0085 (2.0882)	Prec@1 49.500 (46.670)	Prec@5 76.500 (77.085)
Epoch: [31][1410/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.4622 (2.0891)	Prec@1 36.000 (46.646)	Prec@5 68.500 (77.068)
Epoch: [31][1420/9018]	Time 0.636 (0.618)	Data 0.001 (0.002)	Loss 1.7385 (2.0888)	Prec@1 54.000 (46.647)	Prec@5 83.000 (77.068)
Epoch: [31][1430/9018]	Time 0.633 (0.618)	Data 0.001 (0.002)	Loss 1.9400 (2.0890)	Prec@1 48.000 (46.635)	Prec@5 79.000 (77.066)
Epoch: [31][1440/9018]	Time 0.596 (0.618)	Data 0.001 (0.002)	Loss 2.2174 (2.0895)	Prec@1 43.500 (46.619)	Prec@5 77.000 (77.060)
Epoch: [31][1450/9018]	Time 0.631 (0.617)	Data 0.001 (0.002)	Loss 1.9683 (2.0896)	Prec@1 50.000 (46.622)	Prec@5 79.000 (77.050)
Epoch: [31][1460/9018]	Time 0.646 (0.617)	Data 0.001 (0.002)	Loss 2.2157 (2.0894)	Prec@1 43.500 (46.627)	Prec@5 73.500 (77.058)
Epoch: [31][1470/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.1593 (2.0892)	Prec@1 47.000 (46.636)	Prec@5 74.000 (77.056)
Epoch: [31][1480/9018]	Time 0.622 (0.617)	Data 0.001 (0.002)	Loss 2.1287 (2.0894)	Prec@1 45.000 (46.628)	Prec@5 75.000 (77.043)
Epoch: [31][1490/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.1787 (2.0898)	Prec@1 46.000 (46.620)	Prec@5 75.500 (77.034)
Epoch: [31][1500/9018]	Time 0.637 (0.617)	Data 0.001 (0.002)	Loss 2.1289 (2.0900)	Prec@1 43.500 (46.609)	Prec@5 75.500 (77.029)
Epoch: [31][1510/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.2694 (2.0903)	Prec@1 43.000 (46.607)	Prec@5 71.500 (77.025)
Epoch: [31][1520/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.1592 (2.0908)	Prec@1 48.000 (46.607)	Prec@5 76.000 (77.007)
Epoch: [31][1530/9018]	Time 0.631 (0.617)	Data 0.001 (0.002)	Loss 2.1512 (2.0911)	Prec@1 47.500 (46.610)	Prec@5 74.500 (77.006)
Epoch: [31][1540/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.1543 (2.0912)	Prec@1 41.500 (46.605)	Prec@5 80.000 (77.010)
Epoch: [31][1550/9018]	Time 0.745 (0.617)	Data 0.001 (0.002)	Loss 2.1357 (2.0907)	Prec@1 44.500 (46.609)	Prec@5 72.500 (77.014)
Epoch: [31][1560/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.1026 (2.0907)	Prec@1 45.500 (46.607)	Prec@5 77.500 (77.014)
Epoch: [31][1570/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 1.9560 (2.0910)	Prec@1 49.000 (46.600)	Prec@5 78.500 (77.010)
Epoch: [31][1580/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.2831 (2.0911)	Prec@1 43.000 (46.607)	Prec@5 71.500 (76.999)
Epoch: [31][1590/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 1.9524 (2.0912)	Prec@1 47.000 (46.615)	Prec@5 78.000 (76.999)
Epoch: [31][1600/9018]	Time 0.724 (0.617)	Data 0.001 (0.002)	Loss 1.9414 (2.0907)	Prec@1 49.000 (46.617)	Prec@5 79.500 (77.007)
Epoch: [31][1610/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.0965 (2.0906)	Prec@1 48.000 (46.620)	Prec@5 78.500 (77.009)
Epoch: [31][1620/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.1944 (2.0906)	Prec@1 44.000 (46.626)	Prec@5 73.500 (77.001)
Epoch: [31][1630/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.0155 (2.0904)	Prec@1 48.500 (46.633)	Prec@5 75.500 (77.000)
Epoch: [31][1640/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.3095 (2.0907)	Prec@1 43.500 (46.635)	Prec@5 72.000 (76.988)
Epoch: [31][1650/9018]	Time 0.612 (0.617)	Data 0.001 (0.002)	Loss 2.1298 (2.0907)	Prec@1 47.000 (46.640)	Prec@5 75.000 (76.985)
Epoch: [31][1660/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.0140 (2.0904)	Prec@1 47.500 (46.644)	Prec@5 77.000 (76.994)
Epoch: [31][1670/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 1.8651 (2.0901)	Prec@1 51.500 (46.648)	Prec@5 81.000 (77.004)
Epoch: [31][1680/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.9927 (2.0900)	Prec@1 47.000 (46.648)	Prec@5 79.000 (77.004)
Epoch: [31][1690/9018]	Time 0.613 (0.617)	Data 0.001 (0.002)	Loss 1.9027 (2.0901)	Prec@1 53.500 (46.653)	Prec@5 82.000 (76.999)
Epoch: [31][1700/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 2.1234 (2.0904)	Prec@1 45.000 (46.648)	Prec@5 76.000 (76.993)
Epoch: [31][1710/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.9910 (2.0901)	Prec@1 53.500 (46.653)	Prec@5 75.500 (76.994)
Epoch: [31][1720/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.9484 (2.0903)	Prec@1 50.000 (46.648)	Prec@5 81.000 (76.994)
Epoch: [31][1730/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.3016 (2.0904)	Prec@1 49.500 (46.653)	Prec@5 72.500 (76.994)
Epoch: [31][1740/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.3554 (2.0907)	Prec@1 36.500 (46.637)	Prec@5 77.500 (76.996)
Epoch: [31][1750/9018]	Time 0.616 (0.617)	Data 0.001 (0.002)	Loss 2.3464 (2.0908)	Prec@1 36.000 (46.621)	Prec@5 73.500 (76.997)
Epoch: [31][1760/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.0888 (2.0909)	Prec@1 48.000 (46.622)	Prec@5 75.000 (76.988)
Epoch: [31][1770/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 1.8693 (2.0910)	Prec@1 53.000 (46.625)	Prec@5 80.500 (76.987)
Epoch: [31][1780/9018]	Time 0.636 (0.617)	Data 0.001 (0.002)	Loss 2.1283 (2.0909)	Prec@1 40.000 (46.620)	Prec@5 79.000 (76.994)
Epoch: [31][1790/9018]	Time 0.601 (0.617)	Data 0.003 (0.002)	Loss 2.1075 (2.0910)	Prec@1 49.500 (46.619)	Prec@5 76.000 (76.991)
Epoch: [31][1800/9018]	Time 0.613 (0.617)	Data 0.001 (0.002)	Loss 2.2209 (2.0909)	Prec@1 48.000 (46.624)	Prec@5 72.000 (76.992)
Epoch: [31][1810/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 1.7374 (2.0906)	Prec@1 52.000 (46.628)	Prec@5 83.500 (76.995)
Epoch: [31][1820/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.1627 (2.0907)	Prec@1 47.000 (46.623)	Prec@5 76.000 (76.995)
Epoch: [31][1830/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.0901 (2.0905)	Prec@1 46.500 (46.629)	Prec@5 72.500 (76.999)
Epoch: [31][1840/9018]	Time 0.643 (0.617)	Data 0.001 (0.002)	Loss 1.9622 (2.0905)	Prec@1 46.000 (46.628)	Prec@5 81.000 (77.002)
Epoch: [31][1850/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 1.9971 (2.0907)	Prec@1 49.000 (46.628)	Prec@5 76.000 (76.998)
Epoch: [31][1860/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.0740 (2.0905)	Prec@1 49.500 (46.630)	Prec@5 76.500 (77.002)
Epoch: [31][1870/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.0762 (2.0903)	Prec@1 49.500 (46.634)	Prec@5 76.000 (77.007)
Epoch: [31][1880/9018]	Time 0.722 (0.617)	Data 0.001 (0.002)	Loss 2.1877 (2.0902)	Prec@1 48.000 (46.636)	Prec@5 71.500 (77.008)
Epoch: [31][1890/9018]	Time 0.618 (0.617)	Data 0.001 (0.002)	Loss 1.8491 (2.0899)	Prec@1 48.500 (46.635)	Prec@5 78.000 (77.011)
Epoch: [31][1900/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.9547 (2.0898)	Prec@1 45.500 (46.634)	Prec@5 81.500 (77.014)
Epoch: [31][1910/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 1.9142 (2.0897)	Prec@1 51.500 (46.630)	Prec@5 81.500 (77.023)
Epoch: [31][1920/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 2.1217 (2.0900)	Prec@1 48.500 (46.620)	Prec@5 77.000 (77.015)
Epoch: [31][1930/9018]	Time 0.742 (0.617)	Data 0.001 (0.002)	Loss 1.7674 (2.0899)	Prec@1 50.500 (46.617)	Prec@5 85.000 (77.018)
Epoch: [31][1940/9018]	Time 0.613 (0.617)	Data 0.001 (0.002)	Loss 1.8811 (2.0900)	Prec@1 52.500 (46.610)	Prec@5 81.000 (77.021)
Epoch: [31][1950/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.0210 (2.0901)	Prec@1 46.500 (46.608)	Prec@5 78.000 (77.019)
Epoch: [31][1960/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 1.9511 (2.0902)	Prec@1 48.000 (46.606)	Prec@5 80.000 (77.020)
Epoch: [31][1970/9018]	Time 0.631 (0.617)	Data 0.001 (0.002)	Loss 2.0203 (2.0904)	Prec@1 46.500 (46.598)	Prec@5 76.000 (77.013)
Epoch: [31][1980/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.1054 (2.0903)	Prec@1 48.000 (46.603)	Prec@5 75.000 (77.019)
Epoch: [31][1990/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 1.9180 (2.0906)	Prec@1 47.500 (46.595)	Prec@5 79.000 (77.011)
Epoch: [31][2000/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.1026 (2.0903)	Prec@1 47.500 (46.603)	Prec@5 76.000 (77.011)
Epoch: [31][2010/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 1.9727 (2.0906)	Prec@1 48.500 (46.593)	Prec@5 81.000 (77.004)
Epoch: [31][2020/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.0695 (2.0908)	Prec@1 47.500 (46.587)	Prec@5 77.000 (77.005)
Epoch: [31][2030/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.3585 (2.0910)	Prec@1 40.500 (46.582)	Prec@5 71.000 (77.005)
Epoch: [31][2040/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.1349 (2.0910)	Prec@1 45.500 (46.580)	Prec@5 74.000 (77.001)
Epoch: [31][2050/9018]	Time 0.613 (0.617)	Data 0.001 (0.002)	Loss 2.0785 (2.0912)	Prec@1 44.000 (46.581)	Prec@5 78.000 (76.998)
Epoch: [31][2060/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.1072 (2.0913)	Prec@1 46.500 (46.581)	Prec@5 73.000 (76.998)
Epoch: [31][2070/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 2.1391 (2.0912)	Prec@1 47.000 (46.589)	Prec@5 76.000 (76.999)
Epoch: [31][2080/9018]	Time 0.622 (0.617)	Data 0.001 (0.002)	Loss 2.1790 (2.0910)	Prec@1 43.500 (46.593)	Prec@5 77.000 (77.005)
Epoch: [31][2090/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.1150 (2.0910)	Prec@1 47.500 (46.594)	Prec@5 77.000 (77.006)
Epoch: [31][2100/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.1284 (2.0906)	Prec@1 49.000 (46.606)	Prec@5 77.000 (77.016)
Epoch: [31][2110/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.0064 (2.0903)	Prec@1 51.000 (46.612)	Prec@5 79.500 (77.024)
Epoch: [31][2120/9018]	Time 0.635 (0.617)	Data 0.001 (0.002)	Loss 1.9214 (2.0901)	Prec@1 50.000 (46.616)	Prec@5 81.500 (77.028)
Epoch: [31][2130/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.2175 (2.0904)	Prec@1 46.000 (46.608)	Prec@5 77.000 (77.027)
Epoch: [31][2140/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.0477 (2.0905)	Prec@1 43.500 (46.600)	Prec@5 78.500 (77.025)
Epoch: [31][2150/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.9787 (2.0907)	Prec@1 47.500 (46.597)	Prec@5 75.000 (77.020)
Epoch: [31][2160/9018]	Time 0.634 (0.617)	Data 0.001 (0.002)	Loss 2.0386 (2.0909)	Prec@1 46.500 (46.598)	Prec@5 77.000 (77.013)
Epoch: [31][2170/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.3423 (2.0909)	Prec@1 42.000 (46.595)	Prec@5 72.000 (77.018)
Epoch: [31][2180/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.0470 (2.0907)	Prec@1 46.000 (46.598)	Prec@5 79.500 (77.022)
Epoch: [31][2190/9018]	Time 0.611 (0.617)	Data 0.001 (0.002)	Loss 2.0245 (2.0908)	Prec@1 45.500 (46.601)	Prec@5 77.000 (77.021)
Epoch: [31][2200/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.3114 (2.0908)	Prec@1 42.000 (46.607)	Prec@5 76.000 (77.018)
Epoch: [31][2210/9018]	Time 0.722 (0.617)	Data 0.001 (0.002)	Loss 2.0781 (2.0910)	Prec@1 45.000 (46.604)	Prec@5 76.000 (77.016)
Epoch: [31][2220/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.9130 (2.0910)	Prec@1 54.000 (46.600)	Prec@5 78.500 (77.016)
Epoch: [31][2230/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.0907 (2.0909)	Prec@1 46.500 (46.602)	Prec@5 77.000 (77.012)
Epoch: [31][2240/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.9762 (2.0911)	Prec@1 48.000 (46.598)	Prec@5 78.000 (77.009)
Epoch: [31][2250/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.1002 (2.0913)	Prec@1 46.000 (46.588)	Prec@5 78.500 (77.003)
Epoch: [31][2260/9018]	Time 0.737 (0.617)	Data 0.001 (0.002)	Loss 2.0874 (2.0915)	Prec@1 52.500 (46.580)	Prec@5 75.000 (77.000)
Epoch: [31][2270/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.2497 (2.0913)	Prec@1 47.000 (46.585)	Prec@5 73.000 (77.005)
Epoch: [31][2280/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.0257 (2.0913)	Prec@1 44.500 (46.586)	Prec@5 82.000 (77.007)
Epoch: [31][2290/9018]	Time 0.632 (0.617)	Data 0.001 (0.002)	Loss 2.0565 (2.0916)	Prec@1 47.000 (46.582)	Prec@5 76.500 (77.002)
Epoch: [31][2300/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.1822 (2.0918)	Prec@1 48.500 (46.581)	Prec@5 76.500 (76.999)
Epoch: [31][2310/9018]	Time 0.638 (0.617)	Data 0.001 (0.002)	Loss 1.9767 (2.0919)	Prec@1 52.000 (46.581)	Prec@5 76.500 (76.998)
Epoch: [31][2320/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.2870 (2.0921)	Prec@1 45.000 (46.576)	Prec@5 73.500 (76.999)
Epoch: [31][2330/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.2463 (2.0921)	Prec@1 45.000 (46.573)	Prec@5 74.000 (76.998)
Epoch: [31][2340/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.3068 (2.0923)	Prec@1 40.500 (46.568)	Prec@5 72.000 (76.994)
Epoch: [31][2350/9018]	Time 0.621 (0.617)	Data 0.001 (0.002)	Loss 1.9241 (2.0927)	Prec@1 53.000 (46.562)	Prec@5 81.000 (76.990)
Epoch: [31][2360/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.1488 (2.0925)	Prec@1 46.500 (46.564)	Prec@5 78.500 (76.994)
Epoch: [31][2370/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.0749 (2.0924)	Prec@1 48.000 (46.564)	Prec@5 79.500 (77.000)
Epoch: [31][2380/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.9436 (2.0922)	Prec@1 49.500 (46.566)	Prec@5 78.000 (77.003)
Epoch: [31][2390/9018]	Time 0.631 (0.617)	Data 0.001 (0.002)	Loss 1.9067 (2.0923)	Prec@1 48.500 (46.566)	Prec@5 81.500 (77.003)
Epoch: [31][2400/9018]	Time 0.626 (0.617)	Data 0.001 (0.002)	Loss 1.9129 (2.0919)	Prec@1 48.500 (46.575)	Prec@5 79.000 (77.005)
Epoch: [31][2410/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.0499 (2.0920)	Prec@1 49.000 (46.574)	Prec@5 77.000 (77.002)
Epoch: [31][2420/9018]	Time 0.630 (0.617)	Data 0.001 (0.002)	Loss 1.9500 (2.0919)	Prec@1 46.000 (46.572)	Prec@5 81.000 (77.004)
Epoch: [31][2430/9018]	Time 0.616 (0.617)	Data 0.001 (0.002)	Loss 2.2950 (2.0922)	Prec@1 44.000 (46.567)	Prec@5 75.500 (77.002)
Epoch: [31][2440/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.1133 (2.0920)	Prec@1 48.000 (46.578)	Prec@5 77.500 (77.007)
Epoch: [31][2450/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.0827 (2.0921)	Prec@1 48.000 (46.580)	Prec@5 76.500 (77.006)
Epoch: [31][2460/9018]	Time 0.617 (0.617)	Data 0.001 (0.002)	Loss 1.9778 (2.0921)	Prec@1 47.000 (46.572)	Prec@5 79.500 (77.005)
Epoch: [31][2470/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.0392 (2.0921)	Prec@1 45.500 (46.577)	Prec@5 78.000 (77.005)
Epoch: [31][2480/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.1240 (2.0921)	Prec@1 52.000 (46.570)	Prec@5 76.500 (77.007)
Epoch: [31][2490/9018]	Time 0.643 (0.617)	Data 0.001 (0.002)	Loss 2.0104 (2.0923)	Prec@1 49.000 (46.567)	Prec@5 78.000 (77.005)
Epoch: [31][2500/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.0891 (2.0921)	Prec@1 42.000 (46.568)	Prec@5 80.000 (77.010)
Epoch: [31][2510/9018]	Time 0.637 (0.617)	Data 0.001 (0.002)	Loss 2.3024 (2.0920)	Prec@1 41.000 (46.568)	Prec@5 72.500 (77.012)
Epoch: [31][2520/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.2115 (2.0921)	Prec@1 43.000 (46.565)	Prec@5 74.500 (77.011)
Epoch: [31][2530/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.1666 (2.0921)	Prec@1 42.500 (46.564)	Prec@5 75.000 (77.011)
Epoch: [31][2540/9018]	Time 0.732 (0.617)	Data 0.001 (0.002)	Loss 2.2072 (2.0918)	Prec@1 48.000 (46.572)	Prec@5 74.000 (77.012)
Epoch: [31][2550/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.0965 (2.0920)	Prec@1 49.000 (46.568)	Prec@5 78.500 (77.009)
Epoch: [31][2560/9018]	Time 0.620 (0.617)	Data 0.001 (0.002)	Loss 1.9532 (2.0920)	Prec@1 49.500 (46.568)	Prec@5 78.000 (77.007)
Epoch: [31][2570/9018]	Time 0.612 (0.617)	Data 0.001 (0.002)	Loss 2.1065 (2.0920)	Prec@1 44.000 (46.568)	Prec@5 77.000 (77.012)
Epoch: [31][2580/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.0559 (2.0923)	Prec@1 47.000 (46.561)	Prec@5 75.500 (77.007)
Epoch: [31][2590/9018]	Time 0.721 (0.617)	Data 0.001 (0.002)	Loss 2.1436 (2.0926)	Prec@1 45.500 (46.555)	Prec@5 76.000 (77.003)
Epoch: [31][2600/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.1939 (2.0926)	Prec@1 45.000 (46.553)	Prec@5 75.000 (77.003)
Epoch: [31][2610/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.8614 (2.0923)	Prec@1 51.500 (46.561)	Prec@5 80.000 (77.010)
Epoch: [31][2620/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 1.7348 (2.0921)	Prec@1 57.000 (46.562)	Prec@5 82.500 (77.010)
Epoch: [31][2630/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.0534 (2.0920)	Prec@1 48.000 (46.562)	Prec@5 80.500 (77.015)
Epoch: [31][2640/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 1.9706 (2.0923)	Prec@1 47.000 (46.560)	Prec@5 78.500 (77.007)
Epoch: [31][2650/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.3801 (2.0926)	Prec@1 42.500 (46.555)	Prec@5 72.000 (77.001)
Epoch: [31][2660/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 2.5049 (2.0927)	Prec@1 39.500 (46.552)	Prec@5 72.000 (77.002)
Epoch: [31][2670/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.0667 (2.0928)	Prec@1 48.000 (46.548)	Prec@5 79.500 (76.998)
Epoch: [31][2680/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 1.9483 (2.0928)	Prec@1 51.000 (46.540)	Prec@5 82.000 (76.997)
Epoch: [31][2690/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.1905 (2.0927)	Prec@1 46.000 (46.539)	Prec@5 76.500 (77.002)
Epoch: [31][2700/9018]	Time 0.637 (0.617)	Data 0.001 (0.002)	Loss 1.9489 (2.0928)	Prec@1 53.000 (46.537)	Prec@5 80.500 (77.001)
Epoch: [31][2710/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.0385 (2.0929)	Prec@1 43.500 (46.531)	Prec@5 79.000 (76.997)
Epoch: [31][2720/9018]	Time 0.616 (0.617)	Data 0.001 (0.002)	Loss 2.1410 (2.0929)	Prec@1 45.500 (46.531)	Prec@5 79.500 (77.002)
Epoch: [31][2730/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.2039 (2.0933)	Prec@1 45.500 (46.526)	Prec@5 79.000 (76.999)
Epoch: [31][2740/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.1959 (2.0933)	Prec@1 47.000 (46.531)	Prec@5 71.500 (76.998)
Epoch: [31][2750/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 1.8969 (2.0931)	Prec@1 51.500 (46.533)	Prec@5 81.500 (77.001)
Epoch: [31][2760/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.1227 (2.0929)	Prec@1 51.000 (46.540)	Prec@5 76.500 (77.006)
Epoch: [31][2770/9018]	Time 0.611 (0.617)	Data 0.001 (0.002)	Loss 2.0044 (2.0930)	Prec@1 46.000 (46.539)	Prec@5 77.500 (77.005)
Epoch: [31][2780/9018]	Time 0.620 (0.617)	Data 0.001 (0.002)	Loss 2.0960 (2.0930)	Prec@1 48.000 (46.540)	Prec@5 78.000 (77.005)
Epoch: [31][2790/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.2375 (2.0929)	Prec@1 46.000 (46.546)	Prec@5 72.500 (77.005)
Epoch: [31][2800/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 1.8467 (2.0929)	Prec@1 48.500 (46.538)	Prec@5 82.000 (77.004)
Epoch: [31][2810/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.1779 (2.0930)	Prec@1 46.000 (46.538)	Prec@5 74.500 (77.004)
Epoch: [31][2820/9018]	Time 0.617 (0.617)	Data 0.001 (0.002)	Loss 2.0360 (2.0930)	Prec@1 49.000 (46.537)	Prec@5 79.000 (77.006)
Epoch: [31][2830/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.0861 (2.0928)	Prec@1 48.500 (46.544)	Prec@5 75.000 (77.005)
Epoch: [31][2840/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.0921 (2.0930)	Prec@1 49.500 (46.542)	Prec@5 77.000 (77.002)
Epoch: [31][2850/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.2010 (2.0930)	Prec@1 44.500 (46.542)	Prec@5 77.000 (77.002)
Epoch: [31][2860/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.2734 (2.0930)	Prec@1 45.500 (46.545)	Prec@5 71.500 (77.000)
Epoch: [31][2870/9018]	Time 0.721 (0.617)	Data 0.001 (0.002)	Loss 2.3719 (2.0930)	Prec@1 43.000 (46.546)	Prec@5 72.000 (77.002)
Epoch: [31][2880/9018]	Time 0.611 (0.617)	Data 0.001 (0.002)	Loss 2.1075 (2.0930)	Prec@1 46.000 (46.546)	Prec@5 79.000 (77.006)
Epoch: [31][2890/9018]	Time 0.588 (0.617)	Data 0.001 (0.002)	Loss 2.0094 (2.0929)	Prec@1 53.000 (46.551)	Prec@5 80.000 (77.006)
Epoch: [31][2900/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 1.9616 (2.0929)	Prec@1 49.500 (46.551)	Prec@5 80.000 (77.010)
Epoch: [31][2910/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.0671 (2.0928)	Prec@1 48.000 (46.552)	Prec@5 73.000 (77.010)
Epoch: [31][2920/9018]	Time 0.726 (0.617)	Data 0.001 (0.002)	Loss 2.0195 (2.0927)	Prec@1 49.500 (46.556)	Prec@5 80.500 (77.014)
Epoch: [31][2930/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.2282 (2.0930)	Prec@1 39.500 (46.548)	Prec@5 76.000 (77.013)
Epoch: [31][2940/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 2.1669 (2.0928)	Prec@1 40.500 (46.555)	Prec@5 73.500 (77.014)
Epoch: [31][2950/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 1.9185 (2.0926)	Prec@1 47.500 (46.561)	Prec@5 82.000 (77.018)
Epoch: [31][2960/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.9122 (2.0928)	Prec@1 45.500 (46.557)	Prec@5 81.500 (77.014)
Epoch: [31][2970/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.2440 (2.0927)	Prec@1 45.000 (46.555)	Prec@5 74.500 (77.017)
Epoch: [31][2980/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 1.9758 (2.0929)	Prec@1 49.500 (46.549)	Prec@5 76.000 (77.016)
Epoch: [31][2990/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.0427 (2.0926)	Prec@1 51.000 (46.555)	Prec@5 78.500 (77.018)
Epoch: [31][3000/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 1.7955 (2.0926)	Prec@1 54.000 (46.552)	Prec@5 84.500 (77.021)
Epoch: [31][3010/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.1141 (2.0926)	Prec@1 46.500 (46.552)	Prec@5 77.500 (77.021)
Epoch: [31][3020/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.3047 (2.0927)	Prec@1 37.000 (46.550)	Prec@5 70.000 (77.017)
Epoch: [31][3030/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.1702 (2.0928)	Prec@1 45.500 (46.550)	Prec@5 72.500 (77.018)
Epoch: [31][3040/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1633 (2.0927)	Prec@1 48.500 (46.547)	Prec@5 75.000 (77.019)
Epoch: [31][3050/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.0791 (2.0926)	Prec@1 51.500 (46.551)	Prec@5 74.500 (77.017)
Epoch: [31][3060/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1422 (2.0929)	Prec@1 44.500 (46.544)	Prec@5 74.500 (77.014)
Epoch: [31][3070/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.9114 (2.0928)	Prec@1 49.000 (46.553)	Prec@5 81.500 (77.018)
Epoch: [31][3080/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.1040 (2.0928)	Prec@1 44.500 (46.548)	Prec@5 78.000 (77.016)
Epoch: [31][3090/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1000 (2.0927)	Prec@1 48.000 (46.548)	Prec@5 74.500 (77.019)
Epoch: [31][3100/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 1.8663 (2.0928)	Prec@1 53.500 (46.550)	Prec@5 79.000 (77.017)
Epoch: [31][3110/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.0133 (2.0927)	Prec@1 46.000 (46.550)	Prec@5 77.000 (77.022)
Epoch: [31][3120/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1443 (2.0927)	Prec@1 46.000 (46.548)	Prec@5 72.500 (77.023)
Epoch: [31][3130/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.1362 (2.0926)	Prec@1 47.000 (46.549)	Prec@5 78.000 (77.026)
Epoch: [31][3140/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1649 (2.0927)	Prec@1 45.000 (46.545)	Prec@5 75.000 (77.027)
Epoch: [31][3150/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0140 (2.0926)	Prec@1 49.500 (46.547)	Prec@5 77.000 (77.026)
Epoch: [31][3160/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.1025 (2.0925)	Prec@1 46.000 (46.550)	Prec@5 79.500 (77.027)
Epoch: [31][3170/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.0040 (2.0923)	Prec@1 52.500 (46.555)	Prec@5 79.500 (77.030)
Epoch: [31][3180/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1218 (2.0923)	Prec@1 52.500 (46.557)	Prec@5 76.500 (77.028)
Epoch: [31][3190/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1233 (2.0923)	Prec@1 44.000 (46.557)	Prec@5 79.500 (77.029)
Epoch: [31][3200/9018]	Time 0.731 (0.616)	Data 0.001 (0.001)	Loss 2.1463 (2.0924)	Prec@1 47.000 (46.556)	Prec@5 74.500 (77.027)
Epoch: [31][3210/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.1616 (2.0923)	Prec@1 46.500 (46.557)	Prec@5 78.000 (77.028)
Epoch: [31][3220/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1962 (2.0925)	Prec@1 43.000 (46.551)	Prec@5 78.500 (77.026)
Epoch: [31][3230/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 1.9558 (2.0924)	Prec@1 51.500 (46.553)	Prec@5 80.000 (77.031)
Epoch: [31][3240/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9771 (2.0924)	Prec@1 46.000 (46.552)	Prec@5 79.500 (77.030)
Epoch: [31][3250/9018]	Time 0.707 (0.616)	Data 0.001 (0.001)	Loss 2.1756 (2.0925)	Prec@1 42.500 (46.547)	Prec@5 73.000 (77.029)
Epoch: [31][3260/9018]	Time 0.635 (0.616)	Data 0.001 (0.001)	Loss 2.2834 (2.0925)	Prec@1 42.500 (46.545)	Prec@5 72.000 (77.026)
Epoch: [31][3270/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0322 (2.0923)	Prec@1 45.500 (46.549)	Prec@5 79.500 (77.029)
Epoch: [31][3280/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.2109 (2.0925)	Prec@1 42.000 (46.547)	Prec@5 76.500 (77.023)
Epoch: [31][3290/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.2810 (2.0926)	Prec@1 42.000 (46.543)	Prec@5 71.000 (77.020)
Epoch: [31][3300/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0629 (2.0925)	Prec@1 46.500 (46.543)	Prec@5 75.500 (77.021)
Epoch: [31][3310/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0056 (2.0925)	Prec@1 47.000 (46.542)	Prec@5 77.000 (77.019)
Epoch: [31][3320/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9849 (2.0926)	Prec@1 50.000 (46.542)	Prec@5 79.500 (77.015)
Epoch: [31][3330/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.3450 (2.0928)	Prec@1 47.500 (46.543)	Prec@5 70.500 (77.013)
Epoch: [31][3340/9018]	Time 0.647 (0.616)	Data 0.001 (0.001)	Loss 2.3223 (2.0928)	Prec@1 42.500 (46.544)	Prec@5 73.000 (77.009)
Epoch: [31][3350/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0671 (2.0926)	Prec@1 41.000 (46.545)	Prec@5 76.500 (77.009)
Epoch: [31][3360/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.1744 (2.0928)	Prec@1 40.500 (46.539)	Prec@5 74.000 (77.006)
Epoch: [31][3370/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0768 (2.0926)	Prec@1 47.500 (46.543)	Prec@5 75.000 (77.007)
Epoch: [31][3380/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1550 (2.0928)	Prec@1 43.500 (46.539)	Prec@5 74.500 (77.004)
Epoch: [31][3390/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 1.9735 (2.0926)	Prec@1 47.500 (46.544)	Prec@5 79.500 (77.007)
Epoch: [31][3400/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0341 (2.0926)	Prec@1 48.000 (46.542)	Prec@5 74.000 (77.005)
Epoch: [31][3410/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.9257 (2.0925)	Prec@1 48.000 (46.545)	Prec@5 81.000 (77.005)
Epoch: [31][3420/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.9761 (2.0927)	Prec@1 52.000 (46.543)	Prec@5 80.000 (77.004)
Epoch: [31][3430/9018]	Time 0.635 (0.616)	Data 0.001 (0.001)	Loss 2.0356 (2.0928)	Prec@1 48.000 (46.537)	Prec@5 76.000 (77.001)
Epoch: [31][3440/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1722 (2.0926)	Prec@1 42.500 (46.539)	Prec@5 78.000 (77.008)
Epoch: [31][3450/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 1.9006 (2.0926)	Prec@1 52.500 (46.545)	Prec@5 81.500 (77.008)
Epoch: [31][3460/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.1625 (2.0925)	Prec@1 43.500 (46.546)	Prec@5 79.000 (77.013)
Epoch: [31][3470/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.2185 (2.0926)	Prec@1 41.500 (46.543)	Prec@5 76.500 (77.010)
Epoch: [31][3480/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1532 (2.0926)	Prec@1 47.500 (46.540)	Prec@5 76.500 (77.007)
Epoch: [31][3490/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.8011 (2.0924)	Prec@1 52.500 (46.546)	Prec@5 82.500 (77.011)
Epoch: [31][3500/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.1467 (2.0925)	Prec@1 41.500 (46.542)	Prec@5 76.500 (77.011)
Epoch: [31][3510/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.2688 (2.0925)	Prec@1 45.500 (46.541)	Prec@5 71.500 (77.011)
Epoch: [31][3520/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 1.9707 (2.0925)	Prec@1 53.000 (46.544)	Prec@5 81.000 (77.014)
Epoch: [31][3530/9018]	Time 0.728 (0.616)	Data 0.001 (0.001)	Loss 2.2450 (2.0927)	Prec@1 45.500 (46.538)	Prec@5 73.500 (77.007)
Epoch: [31][3540/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.7493 (2.0926)	Prec@1 54.000 (46.541)	Prec@5 84.000 (77.008)
Epoch: [31][3550/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.1636 (2.0926)	Prec@1 42.500 (46.542)	Prec@5 75.500 (77.007)
Epoch: [31][3560/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.1013 (2.0926)	Prec@1 51.500 (46.544)	Prec@5 78.500 (77.008)
Epoch: [31][3570/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.1089 (2.0927)	Prec@1 45.500 (46.544)	Prec@5 73.000 (77.006)
Epoch: [31][3580/9018]	Time 0.742 (0.616)	Data 0.001 (0.001)	Loss 2.2248 (2.0925)	Prec@1 41.500 (46.546)	Prec@5 72.000 (77.006)
Epoch: [31][3590/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.1699 (2.0924)	Prec@1 46.500 (46.551)	Prec@5 78.500 (77.011)
Epoch: [31][3600/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0446 (2.0924)	Prec@1 45.000 (46.554)	Prec@5 79.500 (77.011)
Epoch: [31][3610/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.2033 (2.0924)	Prec@1 41.500 (46.551)	Prec@5 72.500 (77.008)
Epoch: [31][3620/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0865 (2.0925)	Prec@1 47.000 (46.548)	Prec@5 77.500 (77.007)
Epoch: [31][3630/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.4144 (2.0927)	Prec@1 44.500 (46.544)	Prec@5 69.500 (77.005)
Epoch: [31][3640/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.2285 (2.0926)	Prec@1 47.500 (46.547)	Prec@5 73.000 (77.004)
Epoch: [31][3650/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0647 (2.0926)	Prec@1 48.500 (46.548)	Prec@5 75.500 (77.004)
Epoch: [31][3660/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.2420 (2.0927)	Prec@1 45.000 (46.545)	Prec@5 74.500 (77.001)
Epoch: [31][3670/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.8800 (2.0927)	Prec@1 51.500 (46.544)	Prec@5 81.000 (77.004)
Epoch: [31][3680/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 1.8522 (2.0924)	Prec@1 53.500 (46.552)	Prec@5 83.000 (77.011)
Epoch: [31][3690/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.1877 (2.0924)	Prec@1 44.500 (46.552)	Prec@5 79.500 (77.008)
Epoch: [31][3700/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 1.9783 (2.0923)	Prec@1 46.500 (46.551)	Prec@5 78.000 (77.008)
Epoch: [31][3710/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.0011 (2.0922)	Prec@1 53.000 (46.553)	Prec@5 77.500 (77.010)
Epoch: [31][3720/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.1472 (2.0923)	Prec@1 43.500 (46.551)	Prec@5 75.500 (77.008)
Epoch: [31][3730/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1827 (2.0923)	Prec@1 42.500 (46.550)	Prec@5 74.500 (77.007)
Epoch: [31][3740/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 1.9963 (2.0923)	Prec@1 51.000 (46.548)	Prec@5 78.000 (77.008)
Epoch: [31][3750/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.1839 (2.0924)	Prec@1 46.500 (46.546)	Prec@5 76.000 (77.008)
Epoch: [31][3760/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.0258 (2.0924)	Prec@1 49.500 (46.541)	Prec@5 76.500 (77.008)
Epoch: [31][3770/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0674 (2.0923)	Prec@1 47.000 (46.542)	Prec@5 77.000 (77.009)
Epoch: [31][3780/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.0072 (2.0922)	Prec@1 48.000 (46.544)	Prec@5 74.500 (77.010)
Epoch: [31][3790/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.3206 (2.0921)	Prec@1 41.500 (46.545)	Prec@5 73.500 (77.013)
Epoch: [31][3800/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.0404 (2.0921)	Prec@1 46.500 (46.545)	Prec@5 79.000 (77.015)
Epoch: [31][3810/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.0364 (2.0923)	Prec@1 49.500 (46.544)	Prec@5 73.500 (77.013)
Epoch: [31][3820/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0763 (2.0923)	Prec@1 45.500 (46.545)	Prec@5 77.500 (77.011)
Epoch: [31][3830/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.1744 (2.0923)	Prec@1 46.000 (46.546)	Prec@5 76.000 (77.012)
Epoch: [31][3840/9018]	Time 0.644 (0.616)	Data 0.001 (0.001)	Loss 2.2448 (2.0927)	Prec@1 43.500 (46.537)	Prec@5 74.000 (77.004)
Epoch: [31][3850/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0282 (2.0927)	Prec@1 46.500 (46.536)	Prec@5 77.000 (77.004)
Epoch: [31][3860/9018]	Time 0.738 (0.616)	Data 0.001 (0.001)	Loss 1.9023 (2.0925)	Prec@1 47.500 (46.544)	Prec@5 80.000 (77.008)
Epoch: [31][3870/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.1392 (2.0926)	Prec@1 43.000 (46.540)	Prec@5 80.000 (77.006)
Epoch: [31][3880/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.4607 (2.0927)	Prec@1 41.500 (46.539)	Prec@5 73.000 (77.005)
Epoch: [31][3890/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0594 (2.0927)	Prec@1 46.000 (46.540)	Prec@5 77.500 (77.004)
Epoch: [31][3900/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.2820 (2.0928)	Prec@1 41.000 (46.536)	Prec@5 73.000 (77.002)
Epoch: [31][3910/9018]	Time 0.732 (0.616)	Data 0.001 (0.001)	Loss 2.0725 (2.0928)	Prec@1 48.500 (46.540)	Prec@5 77.000 (77.004)
Epoch: [31][3920/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 1.9565 (2.0926)	Prec@1 51.000 (46.547)	Prec@5 79.000 (77.008)
Epoch: [31][3930/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1601 (2.0927)	Prec@1 44.000 (46.545)	Prec@5 74.500 (77.006)
Epoch: [31][3940/9018]	Time 0.636 (0.616)	Data 0.001 (0.001)	Loss 2.0298 (2.0928)	Prec@1 47.000 (46.538)	Prec@5 81.000 (77.004)
Epoch: [31][3950/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.9534 (2.0930)	Prec@1 50.000 (46.533)	Prec@5 81.500 (77.001)
Epoch: [31][3960/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0297 (2.0929)	Prec@1 47.000 (46.537)	Prec@5 81.500 (77.000)
Epoch: [31][3970/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.9486 (2.0931)	Prec@1 49.000 (46.532)	Prec@5 82.000 (76.999)
Epoch: [31][3980/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.2608 (2.0931)	Prec@1 41.000 (46.532)	Prec@5 78.000 (76.998)
Epoch: [31][3990/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.1866 (2.0932)	Prec@1 43.500 (46.532)	Prec@5 75.500 (76.995)
Epoch: [31][4000/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 1.9091 (2.0932)	Prec@1 53.000 (46.533)	Prec@5 78.500 (76.995)
Epoch: [31][4010/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.0949 (2.0932)	Prec@1 49.000 (46.530)	Prec@5 75.000 (76.992)
Epoch: [31][4020/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1703 (2.0933)	Prec@1 40.500 (46.530)	Prec@5 79.000 (76.994)
Epoch: [31][4030/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.8489 (2.0933)	Prec@1 53.000 (46.534)	Prec@5 77.000 (76.995)
Epoch: [31][4040/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9588 (2.0932)	Prec@1 47.000 (46.536)	Prec@5 81.000 (76.995)
Epoch: [31][4050/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.0079 (2.0933)	Prec@1 48.000 (46.532)	Prec@5 77.500 (76.995)
Epoch: [31][4060/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9379 (2.0933)	Prec@1 47.000 (46.534)	Prec@5 79.500 (76.994)
Epoch: [31][4070/9018]	Time 0.654 (0.616)	Data 0.001 (0.001)	Loss 2.1273 (2.0933)	Prec@1 44.500 (46.535)	Prec@5 78.000 (76.992)
Epoch: [31][4080/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.3583 (2.0935)	Prec@1 39.000 (46.529)	Prec@5 75.500 (76.989)
Epoch: [31][4090/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0227 (2.0935)	Prec@1 45.500 (46.527)	Prec@5 82.000 (76.994)
Epoch: [31][4100/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.3183 (2.0935)	Prec@1 48.000 (46.527)	Prec@5 69.500 (76.992)
Epoch: [31][4110/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.1859 (2.0935)	Prec@1 42.500 (46.526)	Prec@5 75.500 (76.994)
Epoch: [31][4120/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0619 (2.0935)	Prec@1 46.000 (46.526)	Prec@5 75.500 (76.992)
Epoch: [31][4130/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1081 (2.0936)	Prec@1 45.000 (46.526)	Prec@5 77.500 (76.992)
Epoch: [31][4140/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.4202 (2.0936)	Prec@1 38.000 (46.528)	Prec@5 69.000 (76.990)
Epoch: [31][4150/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0250 (2.0935)	Prec@1 49.000 (46.530)	Prec@5 76.000 (76.991)
Epoch: [31][4160/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1332 (2.0935)	Prec@1 47.000 (46.533)	Prec@5 76.500 (76.989)
Epoch: [31][4170/9018]	Time 0.635 (0.616)	Data 0.001 (0.001)	Loss 2.1711 (2.0934)	Prec@1 46.500 (46.534)	Prec@5 75.500 (76.990)
Epoch: [31][4180/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0615 (2.0933)	Prec@1 53.500 (46.540)	Prec@5 76.500 (76.991)
Epoch: [31][4190/9018]	Time 0.740 (0.616)	Data 0.001 (0.001)	Loss 2.0432 (2.0934)	Prec@1 45.500 (46.540)	Prec@5 76.000 (76.990)
Epoch: [31][4200/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.1738 (2.0933)	Prec@1 43.000 (46.543)	Prec@5 75.000 (76.991)
Epoch: [31][4210/9018]	Time 0.600 (0.616)	Data 0.002 (0.001)	Loss 1.8738 (2.0935)	Prec@1 55.500 (46.543)	Prec@5 82.000 (76.991)
Epoch: [31][4220/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9448 (2.0936)	Prec@1 52.000 (46.540)	Prec@5 79.000 (76.989)
Epoch: [31][4230/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1361 (2.0937)	Prec@1 49.500 (46.540)	Prec@5 72.000 (76.987)
Epoch: [31][4240/9018]	Time 0.728 (0.616)	Data 0.001 (0.001)	Loss 2.0163 (2.0937)	Prec@1 49.500 (46.535)	Prec@5 80.000 (76.987)
Epoch: [31][4250/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 1.8006 (2.0936)	Prec@1 54.500 (46.541)	Prec@5 81.000 (76.991)
Epoch: [31][4260/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0424 (2.0937)	Prec@1 47.500 (46.538)	Prec@5 79.500 (76.990)
Epoch: [31][4270/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.0371 (2.0938)	Prec@1 48.000 (46.536)	Prec@5 76.000 (76.988)
Epoch: [31][4280/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1147 (2.0937)	Prec@1 44.500 (46.536)	Prec@5 75.500 (76.987)
Epoch: [31][4290/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.2562 (2.0937)	Prec@1 42.000 (46.533)	Prec@5 75.000 (76.984)
Epoch: [31][4300/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.2141 (2.0938)	Prec@1 42.000 (46.532)	Prec@5 75.500 (76.985)
Epoch: [31][4310/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.9114 (2.0937)	Prec@1 52.500 (46.533)	Prec@5 77.500 (76.986)
Epoch: [31][4320/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.1048 (2.0937)	Prec@1 44.000 (46.533)	Prec@5 77.000 (76.986)
Epoch: [31][4330/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.2388 (2.0938)	Prec@1 44.000 (46.532)	Prec@5 75.000 (76.986)
Epoch: [31][4340/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 1.9968 (2.0938)	Prec@1 48.500 (46.528)	Prec@5 76.000 (76.989)
Epoch: [31][4350/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.2082 (2.0936)	Prec@1 41.500 (46.530)	Prec@5 74.500 (76.991)
Epoch: [31][4360/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0419 (2.0938)	Prec@1 44.500 (46.527)	Prec@5 77.500 (76.988)
Epoch: [31][4370/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.1947 (2.0939)	Prec@1 42.000 (46.525)	Prec@5 72.500 (76.985)
Epoch: [31][4380/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.0835 (2.0938)	Prec@1 48.500 (46.527)	Prec@5 78.000 (76.983)
Epoch: [31][4390/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.0396 (2.0937)	Prec@1 47.500 (46.526)	Prec@5 78.000 (76.985)
Epoch: [31][4400/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.1178 (2.0939)	Prec@1 45.500 (46.524)	Prec@5 76.000 (76.983)
Epoch: [31][4410/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.3290 (2.0940)	Prec@1 45.000 (46.523)	Prec@5 72.500 (76.981)
Epoch: [31][4420/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0914 (2.0939)	Prec@1 49.000 (46.525)	Prec@5 75.500 (76.982)
Epoch: [31][4430/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 1.8301 (2.0937)	Prec@1 56.500 (46.531)	Prec@5 80.000 (76.985)
Epoch: [31][4440/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1933 (2.0936)	Prec@1 42.500 (46.535)	Prec@5 75.000 (76.983)
Epoch: [31][4450/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.0935 (2.0935)	Prec@1 48.000 (46.534)	Prec@5 77.500 (76.987)
Epoch: [31][4460/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1311 (2.0937)	Prec@1 47.500 (46.531)	Prec@5 75.000 (76.984)
Epoch: [31][4470/9018]	Time 0.637 (0.616)	Data 0.001 (0.001)	Loss 2.2914 (2.0936)	Prec@1 36.500 (46.533)	Prec@5 75.500 (76.984)
Epoch: [31][4480/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.2756 (2.0938)	Prec@1 45.000 (46.530)	Prec@5 73.500 (76.981)
Epoch: [31][4490/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 1.9018 (2.0938)	Prec@1 47.500 (46.527)	Prec@5 83.000 (76.983)
Epoch: [31][4500/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0661 (2.0938)	Prec@1 46.000 (46.528)	Prec@5 79.500 (76.985)
Epoch: [31][4510/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 1.9781 (2.0938)	Prec@1 43.000 (46.530)	Prec@5 78.000 (76.987)
Epoch: [31][4520/9018]	Time 0.749 (0.616)	Data 0.001 (0.001)	Loss 2.2741 (2.0940)	Prec@1 42.000 (46.525)	Prec@5 72.500 (76.984)
Epoch: [31][4530/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.8563 (2.0939)	Prec@1 54.000 (46.523)	Prec@5 80.000 (76.985)
Epoch: [31][4540/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1729 (2.0940)	Prec@1 47.500 (46.522)	Prec@5 78.000 (76.984)
Epoch: [31][4550/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.8256 (2.0940)	Prec@1 50.000 (46.522)	Prec@5 78.000 (76.981)
Epoch: [31][4560/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0854 (2.0941)	Prec@1 43.500 (46.519)	Prec@5 77.500 (76.979)
Epoch: [31][4570/9018]	Time 0.719 (0.616)	Data 0.001 (0.001)	Loss 2.0915 (2.0939)	Prec@1 46.500 (46.522)	Prec@5 78.000 (76.982)
Epoch: [31][4580/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 1.9581 (2.0938)	Prec@1 50.500 (46.523)	Prec@5 76.500 (76.985)
Epoch: [31][4590/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0818 (2.0937)	Prec@1 43.000 (46.523)	Prec@5 77.500 (76.987)
Epoch: [31][4600/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.8510 (2.0936)	Prec@1 57.000 (46.523)	Prec@5 81.500 (76.987)
Epoch: [31][4610/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.2035 (2.0938)	Prec@1 43.000 (46.519)	Prec@5 73.500 (76.984)
Epoch: [31][4620/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.8744 (2.0937)	Prec@1 50.500 (46.520)	Prec@5 80.500 (76.983)
Epoch: [31][4630/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0246 (2.0937)	Prec@1 50.000 (46.520)	Prec@5 79.500 (76.984)
Epoch: [31][4640/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0243 (2.0937)	Prec@1 48.500 (46.521)	Prec@5 80.500 (76.985)
Epoch: [31][4650/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1116 (2.0936)	Prec@1 44.000 (46.521)	Prec@5 73.500 (76.986)
Epoch: [31][4660/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.2542 (2.0936)	Prec@1 47.500 (46.521)	Prec@5 74.500 (76.987)
Epoch: [31][4670/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1893 (2.0936)	Prec@1 41.000 (46.521)	Prec@5 75.500 (76.985)
Epoch: [31][4680/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.2747 (2.0937)	Prec@1 47.500 (46.517)	Prec@5 71.000 (76.984)
Epoch: [31][4690/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 1.8900 (2.0938)	Prec@1 47.500 (46.514)	Prec@5 79.000 (76.983)
Epoch: [31][4700/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.2443 (2.0938)	Prec@1 41.500 (46.514)	Prec@5 72.500 (76.982)
Epoch: [31][4710/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 1.9746 (2.0940)	Prec@1 48.500 (46.509)	Prec@5 77.000 (76.980)
Epoch: [31][4720/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.8801 (2.0940)	Prec@1 47.000 (46.510)	Prec@5 79.000 (76.980)
Epoch: [31][4730/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.1827 (2.0940)	Prec@1 38.500 (46.510)	Prec@5 77.000 (76.978)
Epoch: [31][4740/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.2203 (2.0941)	Prec@1 44.500 (46.507)	Prec@5 73.000 (76.974)
Epoch: [31][4750/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0958 (2.0940)	Prec@1 43.500 (46.507)	Prec@5 78.500 (76.977)
Epoch: [31][4760/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0030 (2.0940)	Prec@1 48.500 (46.506)	Prec@5 80.500 (76.980)
Epoch: [31][4770/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1691 (2.0940)	Prec@1 44.000 (46.501)	Prec@5 73.000 (76.977)
Epoch: [31][4780/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.3251 (2.0941)	Prec@1 40.000 (46.501)	Prec@5 70.500 (76.975)
Epoch: [31][4790/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0855 (2.0940)	Prec@1 43.000 (46.504)	Prec@5 77.000 (76.974)
Epoch: [31][4800/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 1.9377 (2.0940)	Prec@1 43.000 (46.502)	Prec@5 83.000 (76.976)
Epoch: [31][4810/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.3204 (2.0940)	Prec@1 38.000 (46.500)	Prec@5 73.500 (76.975)
Epoch: [31][4820/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1779 (2.0941)	Prec@1 41.500 (46.497)	Prec@5 76.500 (76.973)
Epoch: [31][4830/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 1.9760 (2.0941)	Prec@1 47.500 (46.498)	Prec@5 78.500 (76.973)
Epoch: [31][4840/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.8809 (2.0940)	Prec@1 51.500 (46.500)	Prec@5 80.500 (76.976)
Epoch: [31][4850/9018]	Time 0.736 (0.616)	Data 0.001 (0.001)	Loss 2.0286 (2.0940)	Prec@1 54.500 (46.502)	Prec@5 77.500 (76.974)
Epoch: [31][4860/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.0525 (2.0940)	Prec@1 47.000 (46.501)	Prec@5 81.000 (76.976)
Epoch: [31][4870/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.9602 (2.0941)	Prec@1 51.000 (46.500)	Prec@5 77.500 (76.974)
Epoch: [31][4880/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0466 (2.0941)	Prec@1 51.500 (46.503)	Prec@5 75.500 (76.974)
Epoch: [31][4890/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1891 (2.0942)	Prec@1 45.000 (46.503)	Prec@5 79.000 (76.972)
Epoch: [31][4900/9018]	Time 0.723 (0.616)	Data 0.001 (0.001)	Loss 2.2009 (2.0945)	Prec@1 45.000 (46.497)	Prec@5 71.500 (76.966)
Epoch: [31][4910/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.2023 (2.0945)	Prec@1 44.000 (46.494)	Prec@5 75.000 (76.967)
Epoch: [31][4920/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.1822 (2.0945)	Prec@1 44.500 (46.495)	Prec@5 75.000 (76.967)
Epoch: [31][4930/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.1598 (2.0945)	Prec@1 45.500 (46.495)	Prec@5 76.000 (76.967)
Epoch: [31][4940/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1623 (2.0944)	Prec@1 49.000 (46.498)	Prec@5 74.000 (76.969)
Epoch: [31][4950/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.3407 (2.0944)	Prec@1 40.500 (46.498)	Prec@5 75.000 (76.968)
Epoch: [31][4960/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.4685 (2.0945)	Prec@1 39.000 (46.495)	Prec@5 70.000 (76.965)
Epoch: [31][4970/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 1.9601 (2.0947)	Prec@1 50.000 (46.491)	Prec@5 77.500 (76.962)
Epoch: [31][4980/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.0653 (2.0946)	Prec@1 46.500 (46.495)	Prec@5 77.500 (76.962)
Epoch: [31][4990/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0034 (2.0946)	Prec@1 51.000 (46.495)	Prec@5 80.500 (76.962)
Epoch: [31][5000/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.0946 (2.0946)	Prec@1 47.000 (46.495)	Prec@5 74.500 (76.963)
Epoch: [31][5010/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.1222 (2.0946)	Prec@1 48.000 (46.495)	Prec@5 77.000 (76.962)
Epoch: [31][5020/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.0828 (2.0946)	Prec@1 48.000 (46.494)	Prec@5 76.000 (76.962)
Epoch: [31][5030/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.0477 (2.0947)	Prec@1 48.500 (46.494)	Prec@5 78.500 (76.960)
Epoch: [31][5040/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.9021 (2.0946)	Prec@1 49.000 (46.498)	Prec@5 83.500 (76.963)
Epoch: [31][5050/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9449 (2.0946)	Prec@1 46.500 (46.497)	Prec@5 78.000 (76.964)
Epoch: [31][5060/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 1.9286 (2.0945)	Prec@1 50.500 (46.496)	Prec@5 81.000 (76.965)
Epoch: [31][5070/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.0427 (2.0945)	Prec@1 46.500 (46.498)	Prec@5 76.000 (76.964)
Epoch: [31][5080/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.0802 (2.0946)	Prec@1 47.000 (46.496)	Prec@5 77.000 (76.961)
Epoch: [31][5090/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0755 (2.0946)	Prec@1 43.500 (46.496)	Prec@5 78.000 (76.960)
Epoch: [31][5100/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.3202 (2.0947)	Prec@1 38.000 (46.495)	Prec@5 72.000 (76.959)
Epoch: [31][5110/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.1759 (2.0947)	Prec@1 45.500 (46.492)	Prec@5 76.500 (76.958)
Epoch: [31][5120/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.2179 (2.0947)	Prec@1 44.000 (46.494)	Prec@5 75.500 (76.959)
Epoch: [31][5130/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1508 (2.0948)	Prec@1 44.500 (46.494)	Prec@5 77.000 (76.958)
Epoch: [31][5140/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9108 (2.0946)	Prec@1 56.000 (46.499)	Prec@5 80.000 (76.961)
Epoch: [31][5150/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 1.9270 (2.0946)	Prec@1 51.000 (46.501)	Prec@5 81.000 (76.960)
Epoch: [31][5160/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.8876 (2.0946)	Prec@1 58.000 (46.501)	Prec@5 79.500 (76.958)
Epoch: [31][5170/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.1303 (2.0948)	Prec@1 47.000 (46.500)	Prec@5 76.000 (76.952)
Epoch: [31][5180/9018]	Time 0.748 (0.616)	Data 0.001 (0.001)	Loss 2.2218 (2.0949)	Prec@1 46.000 (46.500)	Prec@5 76.000 (76.952)
Epoch: [31][5190/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1629 (2.0950)	Prec@1 47.000 (46.500)	Prec@5 77.500 (76.952)
Epoch: [31][5200/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.8458 (2.0949)	Prec@1 50.000 (46.504)	Prec@5 84.000 (76.954)
Epoch: [31][5210/9018]	Time 0.644 (0.616)	Data 0.001 (0.001)	Loss 2.1618 (2.0949)	Prec@1 45.500 (46.506)	Prec@5 72.500 (76.954)
Epoch: [31][5220/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.3802 (2.0949)	Prec@1 43.000 (46.508)	Prec@5 73.500 (76.955)
Epoch: [31][5230/9018]	Time 0.728 (0.616)	Data 0.001 (0.001)	Loss 2.0612 (2.0950)	Prec@1 51.500 (46.506)	Prec@5 81.500 (76.954)
Epoch: [31][5240/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.2010 (2.0949)	Prec@1 41.500 (46.507)	Prec@5 77.000 (76.956)
Epoch: [31][5250/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.2352 (2.0949)	Prec@1 41.000 (46.505)	Prec@5 76.000 (76.956)
Epoch: [31][5260/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.1159 (2.0950)	Prec@1 44.000 (46.504)	Prec@5 78.000 (76.956)
Epoch: [31][5270/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1954 (2.0950)	Prec@1 45.500 (46.503)	Prec@5 74.000 (76.954)
Epoch: [31][5280/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0576 (2.0951)	Prec@1 46.000 (46.500)	Prec@5 78.000 (76.952)
Epoch: [31][5290/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.4468 (2.0951)	Prec@1 38.500 (46.501)	Prec@5 71.500 (76.951)
Epoch: [31][5300/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1720 (2.0951)	Prec@1 44.000 (46.501)	Prec@5 72.000 (76.952)
Epoch: [31][5310/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9660 (2.0950)	Prec@1 49.000 (46.502)	Prec@5 78.500 (76.951)
Epoch: [31][5320/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 1.8194 (2.0951)	Prec@1 53.500 (46.499)	Prec@5 80.500 (76.951)
Epoch: [31][5330/9018]	Time 0.643 (0.616)	Data 0.001 (0.001)	Loss 1.8987 (2.0951)	Prec@1 54.000 (46.501)	Prec@5 77.000 (76.951)
Epoch: [31][5340/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1576 (2.0950)	Prec@1 43.000 (46.500)	Prec@5 77.000 (76.954)
Epoch: [31][5350/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9950 (2.0950)	Prec@1 49.500 (46.501)	Prec@5 77.500 (76.955)
Epoch: [31][5360/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.0162 (2.0950)	Prec@1 49.500 (46.500)	Prec@5 74.500 (76.954)
Epoch: [31][5370/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0796 (2.0950)	Prec@1 48.500 (46.502)	Prec@5 77.000 (76.954)
Epoch: [31][5380/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.0338 (2.0951)	Prec@1 45.000 (46.496)	Prec@5 79.000 (76.951)
Epoch: [31][5390/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1954 (2.0951)	Prec@1 47.000 (46.497)	Prec@5 75.500 (76.954)
Epoch: [31][5400/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0918 (2.0950)	Prec@1 46.000 (46.500)	Prec@5 79.000 (76.956)
Epoch: [31][5410/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.0450 (2.0949)	Prec@1 50.500 (46.500)	Prec@5 78.500 (76.955)
Epoch: [31][5420/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0859 (2.0951)	Prec@1 44.000 (46.496)	Prec@5 76.500 (76.952)
Epoch: [31][5430/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.9856 (2.0950)	Prec@1 51.500 (46.499)	Prec@5 79.000 (76.952)
Epoch: [31][5440/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9749 (2.0951)	Prec@1 46.500 (46.495)	Prec@5 82.000 (76.952)
Epoch: [31][5450/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9579 (2.0949)	Prec@1 46.500 (46.498)	Prec@5 80.500 (76.955)
Epoch: [31][5460/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.1490 (2.0951)	Prec@1 48.000 (46.496)	Prec@5 76.000 (76.953)
Epoch: [31][5470/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0610 (2.0951)	Prec@1 44.000 (46.497)	Prec@5 74.500 (76.952)
Epoch: [31][5480/9018]	Time 0.636 (0.616)	Data 0.001 (0.001)	Loss 1.9872 (2.0950)	Prec@1 50.000 (46.498)	Prec@5 81.500 (76.955)
Epoch: [31][5490/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.1110 (2.0950)	Prec@1 45.000 (46.497)	Prec@5 77.000 (76.954)
Epoch: [31][5500/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0365 (2.0951)	Prec@1 47.000 (46.495)	Prec@5 80.000 (76.953)
Epoch: [31][5510/9018]	Time 0.713 (0.616)	Data 0.001 (0.001)	Loss 1.9318 (2.0950)	Prec@1 51.000 (46.495)	Prec@5 80.500 (76.954)
Epoch: [31][5520/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.7588 (2.0950)	Prec@1 50.500 (46.496)	Prec@5 81.500 (76.953)
Epoch: [31][5530/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.9364 (2.0950)	Prec@1 46.500 (46.496)	Prec@5 84.000 (76.952)
Epoch: [31][5540/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.0022 (2.0950)	Prec@1 51.500 (46.494)	Prec@5 78.500 (76.952)
Epoch: [31][5550/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1477 (2.0951)	Prec@1 46.000 (46.495)	Prec@5 74.000 (76.950)
Epoch: [31][5560/9018]	Time 0.739 (0.616)	Data 0.001 (0.001)	Loss 2.1357 (2.0950)	Prec@1 44.500 (46.498)	Prec@5 72.000 (76.952)
Epoch: [31][5570/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 1.9964 (2.0950)	Prec@1 48.500 (46.499)	Prec@5 79.500 (76.951)
Epoch: [31][5580/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0210 (2.0948)	Prec@1 48.000 (46.506)	Prec@5 78.000 (76.957)
Epoch: [31][5590/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1179 (2.0948)	Prec@1 51.000 (46.506)	Prec@5 77.500 (76.956)
Epoch: [31][5600/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.2146 (2.0949)	Prec@1 44.500 (46.504)	Prec@5 72.500 (76.953)
Epoch: [31][5610/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.0427 (2.0949)	Prec@1 48.500 (46.503)	Prec@5 79.000 (76.953)
Epoch: [31][5620/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.1019 (2.0949)	Prec@1 48.000 (46.500)	Prec@5 77.000 (76.954)
Epoch: [31][5630/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.8263 (2.0949)	Prec@1 51.500 (46.498)	Prec@5 81.000 (76.955)
Epoch: [31][5640/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.0613 (2.0950)	Prec@1 49.500 (46.495)	Prec@5 77.500 (76.954)
Epoch: [31][5650/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.8816 (2.0948)	Prec@1 47.500 (46.499)	Prec@5 83.000 (76.959)
Epoch: [31][5660/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 1.8691 (2.0949)	Prec@1 50.500 (46.500)	Prec@5 79.500 (76.959)
Epoch: [31][5670/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1213 (2.0950)	Prec@1 43.000 (46.496)	Prec@5 78.000 (76.960)
Epoch: [31][5680/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.3602 (2.0950)	Prec@1 40.000 (46.499)	Prec@5 76.500 (76.960)
Epoch: [31][5690/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1216 (2.0950)	Prec@1 44.000 (46.498)	Prec@5 81.000 (76.960)
Epoch: [31][5700/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0871 (2.0951)	Prec@1 45.000 (46.495)	Prec@5 79.000 (76.959)
Epoch: [31][5710/9018]	Time 0.638 (0.616)	Data 0.001 (0.001)	Loss 1.8953 (2.0952)	Prec@1 50.000 (46.497)	Prec@5 80.000 (76.958)
Epoch: [31][5720/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.2119 (2.0952)	Prec@1 42.500 (46.496)	Prec@5 76.000 (76.958)
Epoch: [31][5730/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.2091 (2.0952)	Prec@1 42.500 (46.496)	Prec@5 77.500 (76.958)
Epoch: [31][5740/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.9196 (2.0952)	Prec@1 53.000 (46.495)	Prec@5 78.000 (76.957)
Epoch: [31][5750/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1224 (2.0952)	Prec@1 46.500 (46.495)	Prec@5 78.000 (76.957)
Epoch: [31][5760/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.3049 (2.0953)	Prec@1 44.500 (46.492)	Prec@5 69.500 (76.953)
Epoch: [31][5770/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.1060 (2.0952)	Prec@1 42.500 (46.492)	Prec@5 76.000 (76.955)
Epoch: [31][5780/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.1063 (2.0952)	Prec@1 51.000 (46.494)	Prec@5 75.500 (76.955)
Epoch: [31][5790/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.0087 (2.0951)	Prec@1 44.500 (46.496)	Prec@5 80.500 (76.959)
Epoch: [31][5800/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1589 (2.0952)	Prec@1 43.000 (46.496)	Prec@5 76.000 (76.958)
Epoch: [31][5810/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1006 (2.0952)	Prec@1 47.000 (46.498)	Prec@5 78.500 (76.959)
Epoch: [31][5820/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.1171 (2.0952)	Prec@1 45.500 (46.497)	Prec@5 78.500 (76.957)
Epoch: [31][5830/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 1.9434 (2.0952)	Prec@1 50.500 (46.496)	Prec@5 78.500 (76.956)
Epoch: [31][5840/9018]	Time 0.712 (0.616)	Data 0.001 (0.001)	Loss 2.1774 (2.0951)	Prec@1 42.500 (46.499)	Prec@5 78.000 (76.960)
Epoch: [31][5850/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0402 (2.0950)	Prec@1 48.000 (46.500)	Prec@5 81.000 (76.964)
Epoch: [31][5860/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.2412 (2.0950)	Prec@1 46.500 (46.502)	Prec@5 72.500 (76.962)
Epoch: [31][5870/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.2792 (2.0949)	Prec@1 41.500 (46.503)	Prec@5 75.000 (76.963)
Epoch: [31][5880/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.2359 (2.0951)	Prec@1 46.000 (46.498)	Prec@5 77.000 (76.961)
Epoch: [31][5890/9018]	Time 0.741 (0.616)	Data 0.001 (0.001)	Loss 1.9633 (2.0951)	Prec@1 48.500 (46.498)	Prec@5 79.000 (76.962)
Epoch: [31][5900/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1465 (2.0951)	Prec@1 44.000 (46.497)	Prec@5 78.000 (76.963)
Epoch: [31][5910/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.1143 (2.0950)	Prec@1 48.000 (46.499)	Prec@5 73.500 (76.965)
Epoch: [31][5920/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.2412 (2.0950)	Prec@1 42.500 (46.498)	Prec@5 76.500 (76.966)
Epoch: [31][5930/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1577 (2.0949)	Prec@1 45.500 (46.499)	Prec@5 75.000 (76.966)
Epoch: [31][5940/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.1469 (2.0948)	Prec@1 42.500 (46.499)	Prec@5 74.500 (76.967)
Epoch: [31][5950/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.2776 (2.0949)	Prec@1 42.000 (46.500)	Prec@5 72.000 (76.967)
Epoch: [31][5960/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.1628 (2.0948)	Prec@1 45.000 (46.502)	Prec@5 76.500 (76.970)
Epoch: [31][5970/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.8620 (2.0948)	Prec@1 52.000 (46.504)	Prec@5 80.500 (76.972)
Epoch: [31][5980/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.9773 (2.0949)	Prec@1 47.500 (46.501)	Prec@5 81.500 (76.970)
Epoch: [31][5990/9018]	Time 0.639 (0.616)	Data 0.001 (0.001)	Loss 2.0568 (2.0949)	Prec@1 46.500 (46.501)	Prec@5 78.500 (76.970)
Epoch: [31][6000/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.8815 (2.0948)	Prec@1 53.000 (46.504)	Prec@5 80.000 (76.972)
Epoch: [31][6010/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 1.9470 (2.0948)	Prec@1 49.000 (46.504)	Prec@5 81.000 (76.971)
Epoch: [31][6020/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0913 (2.0949)	Prec@1 46.500 (46.502)	Prec@5 78.500 (76.968)
Epoch: [31][6030/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1085 (2.0948)	Prec@1 46.500 (46.504)	Prec@5 74.000 (76.969)
Epoch: [31][6040/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.0801 (2.0947)	Prec@1 47.500 (46.504)	Prec@5 78.500 (76.970)
Epoch: [31][6050/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.1226 (2.0948)	Prec@1 45.000 (46.502)	Prec@5 75.500 (76.969)
Epoch: [31][6060/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9385 (2.0947)	Prec@1 49.000 (46.502)	Prec@5 80.000 (76.970)
Epoch: [31][6070/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.1477 (2.0947)	Prec@1 45.500 (46.505)	Prec@5 75.500 (76.971)
Epoch: [31][6080/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0690 (2.0946)	Prec@1 46.500 (46.507)	Prec@5 79.500 (76.974)
Epoch: [31][6090/9018]	Time 0.613 (0.616)	Data 0.002 (0.001)	Loss 2.1601 (2.0946)	Prec@1 43.500 (46.505)	Prec@5 77.000 (76.974)
Epoch: [31][6100/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.1180 (2.0945)	Prec@1 48.500 (46.505)	Prec@5 77.000 (76.977)
Epoch: [31][6110/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.9233 (2.0946)	Prec@1 48.000 (46.504)	Prec@5 83.000 (76.978)
Epoch: [31][6120/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1277 (2.0945)	Prec@1 46.000 (46.505)	Prec@5 74.500 (76.978)
Epoch: [31][6130/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.0424 (2.0946)	Prec@1 48.000 (46.505)	Prec@5 77.500 (76.978)
Epoch: [31][6140/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1266 (2.0946)	Prec@1 42.000 (46.503)	Prec@5 78.500 (76.978)
Epoch: [31][6150/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0391 (2.0946)	Prec@1 50.000 (46.506)	Prec@5 77.000 (76.979)
Epoch: [31][6160/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.9948 (2.0945)	Prec@1 51.000 (46.508)	Prec@5 80.500 (76.981)
Epoch: [31][6170/9018]	Time 0.745 (0.616)	Data 0.001 (0.001)	Loss 2.3565 (2.0945)	Prec@1 43.500 (46.508)	Prec@5 72.500 (76.982)
Epoch: [31][6180/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1779 (2.0945)	Prec@1 50.000 (46.507)	Prec@5 73.000 (76.981)
Epoch: [31][6190/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.2044 (2.0945)	Prec@1 44.500 (46.505)	Prec@5 78.000 (76.982)
Epoch: [31][6200/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.1166 (2.0945)	Prec@1 46.000 (46.504)	Prec@5 76.000 (76.981)
Epoch: [31][6210/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.2438 (2.0945)	Prec@1 43.000 (46.506)	Prec@5 73.500 (76.982)
Epoch: [31][6220/9018]	Time 0.715 (0.616)	Data 0.001 (0.001)	Loss 1.9759 (2.0945)	Prec@1 46.500 (46.506)	Prec@5 79.500 (76.981)
Epoch: [31][6230/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0005 (2.0944)	Prec@1 49.000 (46.509)	Prec@5 78.500 (76.982)
Epoch: [31][6240/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0978 (2.0944)	Prec@1 48.500 (46.512)	Prec@5 74.500 (76.984)
Epoch: [31][6250/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.1686 (2.0944)	Prec@1 44.500 (46.511)	Prec@5 74.500 (76.983)
Epoch: [31][6260/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.3382 (2.0945)	Prec@1 43.500 (46.510)	Prec@5 74.000 (76.981)
Epoch: [31][6270/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1252 (2.0945)	Prec@1 47.000 (46.509)	Prec@5 76.500 (76.980)
Epoch: [31][6280/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.1998 (2.0946)	Prec@1 48.000 (46.510)	Prec@5 79.500 (76.980)
Epoch: [31][6290/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1886 (2.0946)	Prec@1 40.500 (46.507)	Prec@5 78.000 (76.979)
Epoch: [31][6300/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.9650 (2.0945)	Prec@1 53.000 (46.514)	Prec@5 83.000 (76.982)
Epoch: [31][6310/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1839 (2.0945)	Prec@1 45.000 (46.515)	Prec@5 72.500 (76.981)
Epoch: [31][6320/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.1324 (2.0945)	Prec@1 46.500 (46.515)	Prec@5 75.500 (76.980)
Epoch: [31][6330/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.0029 (2.0945)	Prec@1 48.000 (46.514)	Prec@5 78.500 (76.981)
Epoch: [31][6340/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.2190 (2.0945)	Prec@1 42.500 (46.514)	Prec@5 77.000 (76.984)
Epoch: [31][6350/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 1.8521 (2.0946)	Prec@1 55.500 (46.513)	Prec@5 81.000 (76.981)
Epoch: [31][6360/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.1833 (2.0947)	Prec@1 42.500 (46.513)	Prec@5 77.500 (76.980)
Epoch: [31][6370/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0343 (2.0945)	Prec@1 51.000 (46.516)	Prec@5 79.500 (76.982)
Epoch: [31][6380/9018]	Time 0.635 (0.616)	Data 0.001 (0.001)	Loss 2.3996 (2.0945)	Prec@1 39.000 (46.515)	Prec@5 72.000 (76.982)
Epoch: [31][6390/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.9664 (2.0945)	Prec@1 49.000 (46.517)	Prec@5 78.000 (76.983)
Epoch: [31][6400/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.2480 (2.0945)	Prec@1 45.000 (46.517)	Prec@5 77.000 (76.983)
Epoch: [31][6410/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.9601 (2.0946)	Prec@1 46.500 (46.515)	Prec@5 76.500 (76.980)
Epoch: [31][6420/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.3273 (2.0946)	Prec@1 46.500 (46.518)	Prec@5 74.500 (76.979)
Epoch: [31][6430/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.3948 (2.0946)	Prec@1 48.000 (46.517)	Prec@5 69.500 (76.979)
Epoch: [31][6440/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0263 (2.0946)	Prec@1 50.000 (46.515)	Prec@5 78.500 (76.982)
Epoch: [31][6450/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 1.7735 (2.0946)	Prec@1 50.000 (46.518)	Prec@5 83.500 (76.984)
Epoch: [31][6460/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.1974 (2.0946)	Prec@1 41.500 (46.516)	Prec@5 75.500 (76.983)
Epoch: [31][6470/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0743 (2.0946)	Prec@1 46.000 (46.515)	Prec@5 78.500 (76.984)
Epoch: [31][6480/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 1.9758 (2.0946)	Prec@1 45.000 (46.514)	Prec@5 80.500 (76.983)
Epoch: [31][6490/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.2762 (2.0945)	Prec@1 40.000 (46.514)	Prec@5 73.000 (76.985)
Epoch: [31][6500/9018]	Time 0.756 (0.616)	Data 0.001 (0.001)	Loss 1.6894 (2.0944)	Prec@1 54.500 (46.515)	Prec@5 84.500 (76.986)
Epoch: [31][6510/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9483 (2.0944)	Prec@1 50.500 (46.516)	Prec@5 78.500 (76.984)
Epoch: [31][6520/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.8992 (2.0945)	Prec@1 52.000 (46.516)	Prec@5 81.000 (76.983)
Epoch: [31][6530/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 1.9760 (2.0944)	Prec@1 51.500 (46.516)	Prec@5 81.000 (76.984)
Epoch: [31][6540/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.2373 (2.0943)	Prec@1 45.500 (46.519)	Prec@5 80.000 (76.989)
Epoch: [31][6550/9018]	Time 0.747 (0.616)	Data 0.001 (0.001)	Loss 2.0641 (2.0943)	Prec@1 47.000 (46.518)	Prec@5 79.500 (76.992)
Epoch: [31][6560/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1419 (2.0943)	Prec@1 43.500 (46.519)	Prec@5 77.000 (76.991)
Epoch: [31][6570/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.9687 (2.0943)	Prec@1 47.500 (46.518)	Prec@5 76.500 (76.992)
Epoch: [31][6580/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 1.9822 (2.0942)	Prec@1 50.500 (46.521)	Prec@5 79.000 (76.994)
Epoch: [31][6590/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.2304 (2.0943)	Prec@1 41.500 (46.519)	Prec@5 73.500 (76.993)
Epoch: [31][6600/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.2779 (2.0943)	Prec@1 43.000 (46.520)	Prec@5 74.000 (76.993)
Epoch: [31][6610/9018]	Time 0.645 (0.616)	Data 0.001 (0.001)	Loss 2.0174 (2.0943)	Prec@1 52.500 (46.520)	Prec@5 77.000 (76.994)
Epoch: [31][6620/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.0643 (2.0943)	Prec@1 44.000 (46.520)	Prec@5 78.500 (76.995)
Epoch: [31][6630/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.0050 (2.0942)	Prec@1 50.500 (46.521)	Prec@5 77.000 (76.994)
Epoch: [31][6640/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.1092 (2.0943)	Prec@1 47.000 (46.522)	Prec@5 72.000 (76.994)
Epoch: [31][6650/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1395 (2.0943)	Prec@1 47.000 (46.521)	Prec@5 76.000 (76.993)
Epoch: [31][6660/9018]	Time 0.588 (0.616)	Data 0.001 (0.001)	Loss 2.0435 (2.0943)	Prec@1 52.500 (46.522)	Prec@5 79.500 (76.995)
Epoch: [31][6670/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0464 (2.0943)	Prec@1 48.500 (46.522)	Prec@5 80.000 (76.995)
Epoch: [31][6680/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.2738 (2.0943)	Prec@1 45.000 (46.522)	Prec@5 74.500 (76.995)
Epoch: [31][6690/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 1.9059 (2.0943)	Prec@1 50.000 (46.519)	Prec@5 80.000 (76.996)
Epoch: [31][6700/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.0136 (2.0943)	Prec@1 49.000 (46.519)	Prec@5 80.000 (76.997)
Epoch: [31][6710/9018]	Time 0.650 (0.616)	Data 0.001 (0.001)	Loss 2.0742 (2.0943)	Prec@1 50.500 (46.521)	Prec@5 76.500 (76.997)
Epoch: [31][6720/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.0414 (2.0942)	Prec@1 49.500 (46.521)	Prec@5 75.500 (76.995)
Epoch: [31][6730/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.0114 (2.0942)	Prec@1 46.000 (46.521)	Prec@5 77.000 (76.994)
Epoch: [31][6740/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.8839 (2.0942)	Prec@1 49.500 (46.522)	Prec@5 77.500 (76.996)
Epoch: [31][6750/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.1151 (2.0941)	Prec@1 49.000 (46.522)	Prec@5 75.000 (76.997)
Epoch: [31][6760/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 1.8384 (2.0942)	Prec@1 53.500 (46.522)	Prec@5 82.000 (76.997)
Epoch: [31][6770/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.4629 (2.0941)	Prec@1 43.500 (46.521)	Prec@5 68.000 (76.996)
Epoch: [31][6780/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9163 (2.0941)	Prec@1 44.500 (46.519)	Prec@5 81.000 (76.996)
Epoch: [31][6790/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.3791 (2.0942)	Prec@1 38.500 (46.517)	Prec@5 72.000 (76.995)
Epoch: [31][6800/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.3181 (2.0942)	Prec@1 41.500 (46.518)	Prec@5 73.000 (76.994)
Epoch: [31][6810/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.1723 (2.0942)	Prec@1 46.500 (46.518)	Prec@5 75.000 (76.995)
Epoch: [31][6820/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0485 (2.0942)	Prec@1 47.000 (46.519)	Prec@5 74.500 (76.995)
Epoch: [31][6830/9018]	Time 0.733 (0.616)	Data 0.001 (0.001)	Loss 2.0354 (2.0942)	Prec@1 51.000 (46.518)	Prec@5 79.000 (76.995)
Epoch: [31][6840/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.0908 (2.0943)	Prec@1 48.000 (46.517)	Prec@5 77.500 (76.995)
Epoch: [31][6850/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9086 (2.0942)	Prec@1 52.000 (46.520)	Prec@5 81.000 (76.996)
Epoch: [31][6860/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.0495 (2.0942)	Prec@1 47.500 (46.520)	Prec@5 77.000 (76.995)
Epoch: [31][6870/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9777 (2.0942)	Prec@1 48.000 (46.520)	Prec@5 79.500 (76.996)
Epoch: [31][6880/9018]	Time 0.720 (0.616)	Data 0.001 (0.001)	Loss 1.9886 (2.0942)	Prec@1 46.000 (46.517)	Prec@5 77.500 (76.995)
Epoch: [31][6890/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.9820 (2.0942)	Prec@1 50.000 (46.518)	Prec@5 78.500 (76.996)
Epoch: [31][6900/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.8639 (2.0941)	Prec@1 51.500 (46.520)	Prec@5 85.000 (76.996)
Epoch: [31][6910/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.1581 (2.0942)	Prec@1 41.500 (46.519)	Prec@5 77.500 (76.997)
Epoch: [31][6920/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.1429 (2.0941)	Prec@1 41.000 (46.521)	Prec@5 78.500 (76.999)
Epoch: [31][6930/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.3482 (2.0942)	Prec@1 40.000 (46.515)	Prec@5 71.500 (76.996)
Epoch: [31][6940/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 1.9928 (2.0941)	Prec@1 50.500 (46.518)	Prec@5 79.500 (76.997)
Epoch: [31][6950/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1909 (2.0941)	Prec@1 43.500 (46.518)	Prec@5 71.500 (76.995)
Epoch: [31][6960/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.2924 (2.0941)	Prec@1 42.500 (46.519)	Prec@5 71.500 (76.995)
Epoch: [31][6970/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.0473 (2.0941)	Prec@1 48.000 (46.519)	Prec@5 78.000 (76.994)
Epoch: [31][6980/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.1827 (2.0942)	Prec@1 41.000 (46.517)	Prec@5 76.000 (76.993)
Epoch: [31][6990/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.7426 (2.0941)	Prec@1 55.000 (46.518)	Prec@5 82.000 (76.993)
Epoch: [31][7000/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0171 (2.0942)	Prec@1 48.500 (46.516)	Prec@5 76.500 (76.992)
Epoch: [31][7010/9018]	Time 0.644 (0.616)	Data 0.001 (0.001)	Loss 2.2556 (2.0941)	Prec@1 40.500 (46.516)	Prec@5 76.000 (76.994)
Epoch: [31][7020/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0214 (2.0941)	Prec@1 49.500 (46.517)	Prec@5 82.000 (76.996)
Epoch: [31][7030/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1647 (2.0940)	Prec@1 46.500 (46.518)	Prec@5 76.000 (76.997)
Epoch: [31][7040/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.1097 (2.0940)	Prec@1 46.000 (46.520)	Prec@5 80.000 (76.997)
Epoch: [31][7050/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.2438 (2.0939)	Prec@1 44.500 (46.522)	Prec@5 72.500 (76.998)
Epoch: [31][7060/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0088 (2.0939)	Prec@1 46.500 (46.522)	Prec@5 77.000 (76.998)
Epoch: [31][7070/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0819 (2.0938)	Prec@1 45.500 (46.524)	Prec@5 73.500 (77.000)
Epoch: [31][7080/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.0540 (2.0938)	Prec@1 47.000 (46.525)	Prec@5 76.000 (77.001)
Epoch: [31][7090/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.3741 (2.0938)	Prec@1 44.000 (46.522)	Prec@5 70.000 (77.001)
Epoch: [31][7100/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.0614 (2.0939)	Prec@1 47.500 (46.519)	Prec@5 79.000 (77.001)
Epoch: [31][7110/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.0840 (2.0939)	Prec@1 45.500 (46.518)	Prec@5 76.000 (77.001)
Epoch: [31][7120/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 1.8826 (2.0938)	Prec@1 48.500 (46.521)	Prec@5 82.000 (77.003)
Epoch: [31][7130/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.3240 (2.0939)	Prec@1 40.000 (46.522)	Prec@5 73.500 (77.003)
Epoch: [31][7140/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.3166 (2.0938)	Prec@1 38.000 (46.522)	Prec@5 78.000 (77.004)
Epoch: [31][7150/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.8813 (2.0938)	Prec@1 48.000 (46.522)	Prec@5 78.500 (77.006)
Epoch: [31][7160/9018]	Time 0.725 (0.616)	Data 0.001 (0.001)	Loss 2.1824 (2.0938)	Prec@1 44.000 (46.521)	Prec@5 76.500 (77.003)
Epoch: [31][7170/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.3221 (2.0939)	Prec@1 40.500 (46.518)	Prec@5 74.500 (77.002)
Epoch: [31][7180/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.1659 (2.0939)	Prec@1 47.000 (46.519)	Prec@5 75.000 (77.003)
Epoch: [31][7190/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.0194 (2.0938)	Prec@1 45.500 (46.519)	Prec@5 78.000 (77.004)
Epoch: [31][7200/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.8473 (2.0938)	Prec@1 51.000 (46.520)	Prec@5 81.500 (77.005)
Epoch: [31][7210/9018]	Time 0.746 (0.616)	Data 0.001 (0.001)	Loss 1.7862 (2.0938)	Prec@1 54.000 (46.521)	Prec@5 81.000 (77.007)
Epoch: [31][7220/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.0257 (2.0938)	Prec@1 48.000 (46.522)	Prec@5 73.500 (77.007)
Epoch: [31][7230/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.0231 (2.0937)	Prec@1 47.500 (46.521)	Prec@5 77.000 (77.008)
Epoch: [31][7240/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1852 (2.0938)	Prec@1 45.000 (46.521)	Prec@5 73.000 (77.008)
Epoch: [31][7250/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.3339 (2.0938)	Prec@1 42.000 (46.520)	Prec@5 73.500 (77.008)
Epoch: [31][7260/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.1428 (2.0939)	Prec@1 44.000 (46.517)	Prec@5 76.000 (77.006)
Epoch: [31][7270/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.3071 (2.0940)	Prec@1 41.500 (46.516)	Prec@5 73.000 (77.003)
Epoch: [31][7280/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.2392 (2.0940)	Prec@1 47.500 (46.518)	Prec@5 77.000 (77.004)
Epoch: [31][7290/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.9936 (2.0940)	Prec@1 51.000 (46.520)	Prec@5 79.500 (77.003)
Epoch: [31][7300/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.2255 (2.0940)	Prec@1 48.000 (46.520)	Prec@5 71.500 (77.004)
Epoch: [31][7310/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.0016 (2.0940)	Prec@1 43.500 (46.519)	Prec@5 82.000 (77.004)
Epoch: [31][7320/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0069 (2.0940)	Prec@1 46.000 (46.519)	Prec@5 77.500 (77.003)
Epoch: [31][7330/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1356 (2.0940)	Prec@1 50.500 (46.518)	Prec@5 76.000 (77.003)
Epoch: [31][7340/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.2614 (2.0941)	Prec@1 40.500 (46.518)	Prec@5 74.500 (77.003)
Epoch: [31][7350/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1778 (2.0941)	Prec@1 43.500 (46.518)	Prec@5 73.500 (77.003)
Epoch: [31][7360/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.9032 (2.0940)	Prec@1 48.000 (46.518)	Prec@5 80.000 (77.002)
Epoch: [31][7370/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.1551 (2.0940)	Prec@1 42.500 (46.518)	Prec@5 79.000 (77.002)
Epoch: [31][7380/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.0843 (2.0941)	Prec@1 47.000 (46.517)	Prec@5 77.000 (77.000)
Epoch: [31][7390/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.9854 (2.0941)	Prec@1 47.500 (46.517)	Prec@5 77.500 (77.000)
Epoch: [31][7400/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.0510 (2.0940)	Prec@1 44.000 (46.518)	Prec@5 77.500 (77.000)
Epoch: [31][7410/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0246 (2.0940)	Prec@1 46.500 (46.517)	Prec@5 77.500 (77.001)
Epoch: [31][7420/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.3467 (2.0940)	Prec@1 38.000 (46.518)	Prec@5 75.000 (77.001)
Epoch: [31][7430/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.9673 (2.0940)	Prec@1 49.500 (46.517)	Prec@5 79.000 (77.000)
Epoch: [31][7440/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0594 (2.0940)	Prec@1 40.500 (46.515)	Prec@5 77.000 (77.000)
Epoch: [31][7450/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.9659 (2.0940)	Prec@1 53.000 (46.514)	Prec@5 78.000 (77.000)
Epoch: [31][7460/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0702 (2.0941)	Prec@1 46.500 (46.514)	Prec@5 79.000 (76.999)
Epoch: [31][7470/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.9719 (2.0940)	Prec@1 48.500 (46.514)	Prec@5 81.500 (77.001)
Epoch: [31][7480/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.0518 (2.0940)	Prec@1 43.000 (46.513)	Prec@5 80.500 (77.001)
Epoch: [31][7490/9018]	Time 0.749 (0.616)	Data 0.001 (0.001)	Loss 2.3418 (2.0941)	Prec@1 44.000 (46.512)	Prec@5 72.500 (77.000)
Epoch: [31][7500/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.1091 (2.0941)	Prec@1 42.000 (46.510)	Prec@5 80.000 (77.001)
Epoch: [31][7510/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.9168 (2.0940)	Prec@1 52.000 (46.514)	Prec@5 77.500 (77.002)
Epoch: [31][7520/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9659 (2.0940)	Prec@1 49.500 (46.514)	Prec@5 76.500 (77.001)
Epoch: [31][7530/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.3018 (2.0941)	Prec@1 40.000 (46.511)	Prec@5 74.000 (77.000)
Epoch: [31][7540/9018]	Time 0.722 (0.616)	Data 0.001 (0.001)	Loss 1.9347 (2.0941)	Prec@1 48.000 (46.511)	Prec@5 80.500 (77.001)
Epoch: [31][7550/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.9742 (2.0941)	Prec@1 48.000 (46.509)	Prec@5 80.000 (77.000)
Epoch: [31][7560/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.2803 (2.0941)	Prec@1 46.500 (46.508)	Prec@5 75.000 (76.999)
Epoch: [31][7570/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.0091 (2.0940)	Prec@1 48.000 (46.511)	Prec@5 80.500 (77.001)
Epoch: [31][7580/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.2913 (2.0941)	Prec@1 44.500 (46.511)	Prec@5 75.000 (76.999)
Epoch: [31][7590/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.3565 (2.0941)	Prec@1 41.500 (46.510)	Prec@5 72.500 (77.000)
Epoch: [31][7600/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.0117 (2.0941)	Prec@1 47.000 (46.512)	Prec@5 81.000 (77.000)
Epoch: [31][7610/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.1778 (2.0941)	Prec@1 44.500 (46.510)	Prec@5 75.000 (76.999)
Epoch: [31][7620/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.8018 (2.0940)	Prec@1 51.000 (46.511)	Prec@5 82.000 (77.000)
Epoch: [31][7630/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.0265 (2.0940)	Prec@1 52.000 (46.514)	Prec@5 75.500 (77.000)
Epoch: [31][7640/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.2816 (2.0940)	Prec@1 45.500 (46.514)	Prec@5 75.000 (77.000)
Epoch: [31][7650/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.1854 (2.0940)	Prec@1 48.500 (46.514)	Prec@5 74.000 (77.000)
Epoch: [31][7660/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.2647 (2.0940)	Prec@1 38.000 (46.512)	Prec@5 79.500 (77.001)
Epoch: [31][7670/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1526 (2.0940)	Prec@1 46.500 (46.510)	Prec@5 76.000 (76.999)
Epoch: [31][7680/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.3334 (2.0941)	Prec@1 40.500 (46.511)	Prec@5 70.500 (76.999)
Epoch: [31][7690/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.1015 (2.0940)	Prec@1 50.000 (46.512)	Prec@5 79.500 (76.999)
Epoch: [31][7700/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.1984 (2.0940)	Prec@1 44.000 (46.513)	Prec@5 76.000 (77.001)
Epoch: [31][7710/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.1130 (2.0940)	Prec@1 41.500 (46.513)	Prec@5 78.000 (76.999)
Epoch: [31][7720/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0287 (2.0940)	Prec@1 53.000 (46.512)	Prec@5 79.000 (76.999)
Epoch: [31][7730/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9548 (2.0940)	Prec@1 53.000 (46.513)	Prec@5 79.500 (77.000)
Epoch: [31][7740/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 1.9998 (2.0939)	Prec@1 47.500 (46.515)	Prec@5 78.000 (77.001)
Epoch: [31][7750/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.1444 (2.0939)	Prec@1 44.000 (46.514)	Prec@5 76.000 (77.004)
Epoch: [31][7760/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.3975 (2.0938)	Prec@1 42.000 (46.515)	Prec@5 68.500 (77.003)
Epoch: [31][7770/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2208 (2.0938)	Prec@1 44.500 (46.515)	Prec@5 75.000 (77.002)
Epoch: [31][7780/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0261 (2.0939)	Prec@1 46.000 (46.515)	Prec@5 79.000 (77.002)
Epoch: [31][7790/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0220 (2.0938)	Prec@1 48.000 (46.515)	Prec@5 77.500 (77.000)
Epoch: [31][7800/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0240 (2.0938)	Prec@1 51.500 (46.515)	Prec@5 78.500 (76.999)
Epoch: [31][7810/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9205 (2.0938)	Prec@1 52.500 (46.515)	Prec@5 78.500 (77.001)
Epoch: [31][7820/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.0299 (2.0938)	Prec@1 45.500 (46.515)	Prec@5 77.000 (77.000)
Epoch: [31][7830/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9079 (2.0939)	Prec@1 47.500 (46.515)	Prec@5 81.000 (76.999)
Epoch: [31][7840/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9378 (2.0938)	Prec@1 51.000 (46.516)	Prec@5 80.000 (76.999)
Epoch: [31][7850/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.8552 (2.0938)	Prec@1 54.000 (46.517)	Prec@5 80.000 (77.000)
Epoch: [31][7860/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0108 (2.0938)	Prec@1 46.000 (46.517)	Prec@5 80.000 (76.999)
Epoch: [31][7870/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 1.9231 (2.0938)	Prec@1 49.000 (46.518)	Prec@5 79.500 (76.999)
Epoch: [31][7880/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.8779 (2.0938)	Prec@1 49.500 (46.516)	Prec@5 80.000 (76.999)
Epoch: [31][7890/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0559 (2.0938)	Prec@1 49.000 (46.516)	Prec@5 75.000 (76.999)
Epoch: [31][7900/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9517 (2.0938)	Prec@1 49.500 (46.515)	Prec@5 76.000 (76.999)
Epoch: [31][7910/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9089 (2.0937)	Prec@1 53.500 (46.517)	Prec@5 82.000 (76.999)
Epoch: [31][7920/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3672 (2.0938)	Prec@1 41.000 (46.516)	Prec@5 70.500 (76.997)
Epoch: [31][7930/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0263 (2.0937)	Prec@1 49.000 (46.517)	Prec@5 76.000 (76.997)
Epoch: [31][7940/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2031 (2.0937)	Prec@1 43.000 (46.518)	Prec@5 75.000 (76.997)
Epoch: [31][7950/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9789 (2.0937)	Prec@1 46.500 (46.515)	Prec@5 78.500 (76.997)
Epoch: [31][7960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8607 (2.0937)	Prec@1 52.000 (46.516)	Prec@5 81.000 (76.997)
Epoch: [31][7970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0573 (2.0937)	Prec@1 44.500 (46.517)	Prec@5 79.500 (76.998)
Epoch: [31][7980/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2437 (2.0936)	Prec@1 41.000 (46.518)	Prec@5 75.500 (76.998)
Epoch: [31][7990/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1100 (2.0938)	Prec@1 46.500 (46.514)	Prec@5 73.000 (76.996)
Epoch: [31][8000/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8575 (2.0937)	Prec@1 52.500 (46.518)	Prec@5 81.000 (76.998)
Epoch: [31][8010/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2085 (2.0937)	Prec@1 40.500 (46.518)	Prec@5 78.500 (76.998)
Epoch: [31][8020/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3644 (2.0937)	Prec@1 39.500 (46.516)	Prec@5 75.000 (76.999)
Epoch: [31][8030/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9435 (2.0937)	Prec@1 45.500 (46.517)	Prec@5 82.500 (76.999)
Epoch: [31][8040/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0414 (2.0937)	Prec@1 47.000 (46.518)	Prec@5 78.000 (77.000)
Epoch: [31][8050/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0370 (2.0937)	Prec@1 46.500 (46.516)	Prec@5 77.000 (76.999)
Epoch: [31][8060/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8364 (2.0937)	Prec@1 49.000 (46.515)	Prec@5 82.500 (76.999)
Epoch: [31][8070/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2634 (2.0937)	Prec@1 42.500 (46.515)	Prec@5 73.000 (76.998)
Epoch: [31][8080/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0461 (2.0938)	Prec@1 48.500 (46.513)	Prec@5 78.000 (76.997)
Epoch: [31][8090/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.2488 (2.0937)	Prec@1 37.000 (46.513)	Prec@5 76.500 (76.996)
Epoch: [31][8100/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0597 (2.0938)	Prec@1 49.000 (46.512)	Prec@5 76.000 (76.995)
Epoch: [31][8110/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0668 (2.0939)	Prec@1 47.500 (46.510)	Prec@5 76.500 (76.994)
Epoch: [31][8120/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8867 (2.0937)	Prec@1 53.000 (46.513)	Prec@5 84.000 (76.996)
Epoch: [31][8130/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1506 (2.0937)	Prec@1 46.000 (46.515)	Prec@5 76.000 (76.998)
Epoch: [31][8140/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0169 (2.0937)	Prec@1 45.500 (46.516)	Prec@5 77.000 (76.998)
Epoch: [31][8150/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.0534 (2.0937)	Prec@1 50.500 (46.516)	Prec@5 78.500 (76.998)
Epoch: [31][8160/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9718 (2.0936)	Prec@1 53.000 (46.516)	Prec@5 78.500 (76.999)
Epoch: [31][8170/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2928 (2.0936)	Prec@1 41.000 (46.514)	Prec@5 72.000 (76.999)
Epoch: [31][8180/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0335 (2.0937)	Prec@1 44.500 (46.514)	Prec@5 82.500 (76.999)
Epoch: [31][8190/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0485 (2.0937)	Prec@1 46.000 (46.513)	Prec@5 77.000 (76.998)
Epoch: [31][8200/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 1.9462 (2.0936)	Prec@1 52.500 (46.516)	Prec@5 79.000 (76.999)
Epoch: [31][8210/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1047 (2.0936)	Prec@1 50.500 (46.517)	Prec@5 74.000 (76.999)
Epoch: [31][8220/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1047 (2.0936)	Prec@1 46.500 (46.517)	Prec@5 76.500 (76.998)
Epoch: [31][8230/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9217 (2.0935)	Prec@1 53.000 (46.519)	Prec@5 79.500 (77.000)
Epoch: [31][8240/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0428 (2.0935)	Prec@1 51.500 (46.519)	Prec@5 76.500 (77.000)
Epoch: [31][8250/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1412 (2.0934)	Prec@1 45.500 (46.521)	Prec@5 77.000 (77.002)
Epoch: [31][8260/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.0774 (2.0934)	Prec@1 49.500 (46.521)	Prec@5 76.500 (77.001)
Epoch: [31][8270/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2148 (2.0934)	Prec@1 45.500 (46.522)	Prec@5 73.500 (77.001)
Epoch: [31][8280/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1069 (2.0933)	Prec@1 46.000 (46.522)	Prec@5 76.500 (77.002)
Epoch: [31][8290/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0161 (2.0933)	Prec@1 42.500 (46.522)	Prec@5 76.500 (77.002)
Epoch: [31][8300/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.2041 (2.0932)	Prec@1 48.000 (46.524)	Prec@5 71.000 (77.002)
Epoch: [31][8310/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1858 (2.0932)	Prec@1 40.500 (46.523)	Prec@5 71.500 (77.002)
Epoch: [31][8320/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0636 (2.0933)	Prec@1 49.000 (46.522)	Prec@5 80.000 (77.002)
Epoch: [31][8330/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9649 (2.0932)	Prec@1 49.500 (46.524)	Prec@5 77.500 (77.003)
Epoch: [31][8340/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2738 (2.0932)	Prec@1 42.500 (46.523)	Prec@5 72.500 (77.002)
Epoch: [31][8350/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1421 (2.0932)	Prec@1 48.500 (46.524)	Prec@5 73.500 (77.002)
Epoch: [31][8360/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1470 (2.0933)	Prec@1 51.500 (46.523)	Prec@5 74.000 (77.000)
Epoch: [31][8370/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3807 (2.0933)	Prec@1 43.000 (46.523)	Prec@5 72.500 (76.999)
Epoch: [31][8380/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8419 (2.0933)	Prec@1 49.500 (46.524)	Prec@5 81.500 (77.001)
Epoch: [31][8390/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0986 (2.0933)	Prec@1 43.500 (46.522)	Prec@5 76.500 (77.001)
Epoch: [31][8400/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0517 (2.0932)	Prec@1 48.000 (46.525)	Prec@5 77.000 (77.001)
Epoch: [31][8410/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1638 (2.0932)	Prec@1 43.500 (46.524)	Prec@5 75.500 (77.001)
Epoch: [31][8420/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1077 (2.0932)	Prec@1 53.000 (46.525)	Prec@5 75.000 (77.000)
Epoch: [31][8430/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 1.8054 (2.0932)	Prec@1 54.000 (46.526)	Prec@5 82.500 (77.001)
Epoch: [31][8440/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0668 (2.0932)	Prec@1 51.000 (46.526)	Prec@5 79.500 (77.001)
Epoch: [31][8450/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1401 (2.0932)	Prec@1 45.000 (46.526)	Prec@5 79.500 (77.002)
Epoch: [31][8460/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0259 (2.0932)	Prec@1 48.500 (46.527)	Prec@5 78.500 (77.002)
Epoch: [31][8470/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2317 (2.0932)	Prec@1 46.000 (46.526)	Prec@5 75.000 (77.001)
Epoch: [31][8480/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.1492 (2.0933)	Prec@1 47.500 (46.525)	Prec@5 77.000 (77.001)
Epoch: [31][8490/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.0974 (2.0933)	Prec@1 46.000 (46.524)	Prec@5 77.000 (77.003)
Epoch: [31][8500/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0472 (2.0932)	Prec@1 46.000 (46.525)	Prec@5 80.500 (77.003)
Epoch: [31][8510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0770 (2.0933)	Prec@1 44.000 (46.524)	Prec@5 77.500 (77.001)
Epoch: [31][8520/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1260 (2.0932)	Prec@1 48.500 (46.524)	Prec@5 75.000 (77.001)
Epoch: [31][8530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0733 (2.0932)	Prec@1 50.500 (46.526)	Prec@5 77.000 (77.002)
Epoch: [31][8540/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0121 (2.0932)	Prec@1 50.500 (46.525)	Prec@5 78.500 (77.001)
Epoch: [31][8550/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1473 (2.0933)	Prec@1 43.500 (46.523)	Prec@5 76.000 (77.000)
Epoch: [31][8560/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0548 (2.0933)	Prec@1 45.000 (46.521)	Prec@5 77.500 (76.998)
Epoch: [31][8570/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0242 (2.0932)	Prec@1 48.000 (46.523)	Prec@5 77.500 (77.000)
Epoch: [31][8580/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1117 (2.0933)	Prec@1 46.000 (46.524)	Prec@5 78.000 (76.999)
Epoch: [31][8590/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9764 (2.0932)	Prec@1 50.500 (46.526)	Prec@5 79.500 (76.999)
Epoch: [31][8600/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0776 (2.0932)	Prec@1 44.500 (46.527)	Prec@5 77.000 (77.000)
Epoch: [31][8610/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8536 (2.0932)	Prec@1 57.000 (46.529)	Prec@5 77.000 (76.999)
Epoch: [31][8620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0369 (2.0932)	Prec@1 47.000 (46.528)	Prec@5 76.000 (76.997)
Epoch: [31][8630/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0684 (2.0931)	Prec@1 46.500 (46.532)	Prec@5 75.000 (77.000)
Epoch: [31][8640/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2494 (2.0931)	Prec@1 46.500 (46.532)	Prec@5 75.000 (77.000)
Epoch: [31][8650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3175 (2.0931)	Prec@1 43.500 (46.532)	Prec@5 71.500 (76.999)
Epoch: [31][8660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9824 (2.0931)	Prec@1 47.000 (46.532)	Prec@5 82.000 (76.999)
Epoch: [31][8670/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0004 (2.0931)	Prec@1 49.500 (46.533)	Prec@5 80.500 (77.000)
Epoch: [31][8680/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1874 (2.0931)	Prec@1 40.000 (46.531)	Prec@5 73.500 (76.998)
Epoch: [31][8690/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.0451 (2.0931)	Prec@1 45.500 (46.530)	Prec@5 76.500 (76.998)
Epoch: [31][8700/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0999 (2.0930)	Prec@1 46.000 (46.532)	Prec@5 77.000 (76.999)
Epoch: [31][8710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0470 (2.0931)	Prec@1 44.000 (46.532)	Prec@5 76.000 (76.999)
Epoch: [31][8720/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0893 (2.0930)	Prec@1 48.000 (46.533)	Prec@5 77.000 (76.999)
Epoch: [31][8730/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0524 (2.0930)	Prec@1 44.000 (46.534)	Prec@5 78.500 (77.000)
Epoch: [31][8740/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.9849 (2.0930)	Prec@1 47.500 (46.533)	Prec@5 79.500 (77.001)
Epoch: [31][8750/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0618 (2.0929)	Prec@1 49.500 (46.535)	Prec@5 78.500 (77.003)
Epoch: [31][8760/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.1238 (2.0929)	Prec@1 48.000 (46.535)	Prec@5 75.000 (77.004)
Epoch: [31][8770/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1431 (2.0929)	Prec@1 45.500 (46.535)	Prec@5 76.000 (77.004)
Epoch: [31][8780/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1570 (2.0928)	Prec@1 43.500 (46.536)	Prec@5 73.500 (77.004)
Epoch: [31][8790/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0241 (2.0928)	Prec@1 45.500 (46.536)	Prec@5 76.000 (77.004)
Epoch: [31][8800/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.9880 (2.0928)	Prec@1 46.500 (46.536)	Prec@5 80.500 (77.005)
Epoch: [31][8810/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.2833 (2.0928)	Prec@1 45.500 (46.538)	Prec@5 75.000 (77.006)
Epoch: [31][8820/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3632 (2.0928)	Prec@1 44.000 (46.539)	Prec@5 71.500 (77.005)
Epoch: [31][8830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9509 (2.0927)	Prec@1 51.000 (46.539)	Prec@5 81.000 (77.006)
Epoch: [31][8840/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9751 (2.0927)	Prec@1 50.000 (46.540)	Prec@5 79.500 (77.006)
Epoch: [31][8850/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1419 (2.0927)	Prec@1 44.000 (46.538)	Prec@5 74.500 (77.006)
Epoch: [31][8860/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8814 (2.0927)	Prec@1 53.000 (46.540)	Prec@5 81.500 (77.007)
Epoch: [31][8870/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.9450 (2.0926)	Prec@1 50.000 (46.540)	Prec@5 80.000 (77.007)
Epoch: [31][8880/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8504 (2.0926)	Prec@1 48.500 (46.540)	Prec@5 78.500 (77.009)
Epoch: [31][8890/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0720 (2.0926)	Prec@1 51.000 (46.541)	Prec@5 75.000 (77.008)
Epoch: [31][8900/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.1908 (2.0926)	Prec@1 44.000 (46.539)	Prec@5 76.000 (77.007)
Epoch: [31][8910/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1217 (2.0927)	Prec@1 46.500 (46.540)	Prec@5 77.000 (77.006)
Epoch: [31][8920/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3532 (2.0926)	Prec@1 41.000 (46.541)	Prec@5 72.500 (77.007)
Epoch: [31][8930/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1062 (2.0926)	Prec@1 43.500 (46.540)	Prec@5 79.500 (77.007)
Epoch: [31][8940/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8876 (2.0926)	Prec@1 52.500 (46.541)	Prec@5 76.000 (77.008)
Epoch: [31][8950/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9877 (2.0925)	Prec@1 50.000 (46.541)	Prec@5 77.500 (77.008)
Epoch: [31][8960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0070 (2.0925)	Prec@1 50.000 (46.541)	Prec@5 79.000 (77.007)
Epoch: [31][8970/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.7176 (2.0925)	Prec@1 53.500 (46.540)	Prec@5 85.000 (77.008)
Epoch: [31][8980/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9711 (2.0925)	Prec@1 46.500 (46.539)	Prec@5 81.000 (77.008)
Epoch: [31][8990/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.3780 (2.0926)	Prec@1 41.000 (46.537)	Prec@5 72.500 (77.006)
Epoch: [31][9000/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0839 (2.0927)	Prec@1 44.500 (46.537)	Prec@5 77.500 (77.006)
Epoch: [31][9010/9018]	Time 0.605 (0.615)	Data 0.000 (0.001)	Loss 2.3711 (2.0927)	Prec@1 43.500 (46.536)	Prec@5 68.500 (77.003)
Test: [0/183]	Time 1.282 (1.282)	Loss 2.4830 (2.4830)	Prec@1 31.500 (31.500)	Prec@5 70.500 (70.500)
Test: [10/183]	Time 0.180 (0.302)	Loss 1.7821 (1.7335)	Prec@1 58.000 (53.955)	Prec@5 80.500 (84.227)
Test: [20/183]	Time 0.182 (0.247)	Loss 2.2213 (1.7043)	Prec@1 44.500 (54.881)	Prec@5 78.000 (84.262)
Test: [30/183]	Time 0.182 (0.229)	Loss 2.1811 (1.7194)	Prec@1 34.500 (53.645)	Prec@5 77.000 (84.355)
Test: [40/183]	Time 0.251 (0.221)	Loss 2.3297 (1.7201)	Prec@1 37.000 (54.244)	Prec@5 78.000 (83.732)
Test: [50/183]	Time 0.181 (0.214)	Loss 1.5963 (1.7031)	Prec@1 55.000 (54.716)	Prec@5 90.000 (84.020)
Test: [60/183]	Time 0.188 (0.211)	Loss 2.2242 (1.7641)	Prec@1 48.000 (52.975)	Prec@5 76.500 (83.180)
Test: [70/183]	Time 0.188 (0.207)	Loss 1.6905 (1.7542)	Prec@1 50.000 (53.056)	Prec@5 87.500 (83.542)
Test: [80/183]	Time 0.188 (0.206)	Loss 1.5134 (1.7390)	Prec@1 53.500 (53.142)	Prec@5 93.000 (83.778)
Test: [90/183]	Time 0.183 (0.205)	Loss 2.2109 (1.7410)	Prec@1 41.500 (53.093)	Prec@5 76.000 (83.736)
Test: [100/183]	Time 0.183 (0.203)	Loss 0.6321 (1.7414)	Prec@1 79.500 (53.109)	Prec@5 96.000 (83.743)
Test: [110/183]	Time 0.192 (0.203)	Loss 0.6810 (1.7440)	Prec@1 83.500 (52.968)	Prec@5 97.500 (83.626)
Test: [120/183]	Time 0.190 (0.201)	Loss 2.0962 (1.7506)	Prec@1 42.500 (52.628)	Prec@5 73.500 (83.599)
Test: [130/183]	Time 0.193 (0.201)	Loss 2.9845 (1.7558)	Prec@1 19.000 (52.576)	Prec@5 71.500 (83.698)
Test: [140/183]	Time 0.191 (0.201)	Loss 1.6831 (1.7415)	Prec@1 57.000 (53.004)	Prec@5 81.000 (83.862)
Test: [150/183]	Time 0.183 (0.200)	Loss 0.6887 (1.7377)	Prec@1 80.500 (53.139)	Prec@5 98.000 (83.891)
Test: [160/183]	Time 0.192 (0.199)	Loss 1.7593 (1.7373)	Prec@1 50.000 (53.270)	Prec@5 80.500 (83.820)
Test: [170/183]	Time 0.177 (0.199)	Loss 2.4273 (1.7576)	Prec@1 31.000 (52.775)	Prec@5 76.000 (83.512)
Test: [180/183]	Time 0.177 (0.198)	Loss 1.8831 (1.7622)	Prec@1 53.000 (52.754)	Prec@5 82.500 (83.439)
 * Prec@1 52.721 Prec@5 83.441
Epoch: [32][0/9018]	Time 2.913 (2.913)	Data 2.283 (2.283)	Loss 1.8540 (1.8540)	Prec@1 52.500 (52.500)	Prec@5 81.500 (81.500)
Epoch: [32][10/9018]	Time 0.590 (0.822)	Data 0.001 (0.208)	Loss 1.8908 (1.9968)	Prec@1 51.000 (48.000)	Prec@5 83.000 (79.182)
Epoch: [32][20/9018]	Time 0.601 (0.713)	Data 0.001 (0.109)	Loss 2.1739 (2.0270)	Prec@1 48.500 (47.381)	Prec@5 73.000 (78.524)
Epoch: [32][30/9018]	Time 0.593 (0.678)	Data 0.001 (0.074)	Loss 2.1251 (2.0326)	Prec@1 45.500 (47.274)	Prec@5 75.500 (78.242)
Epoch: [32][40/9018]	Time 0.597 (0.661)	Data 0.001 (0.056)	Loss 1.9197 (2.0299)	Prec@1 50.000 (47.537)	Prec@5 81.000 (78.415)
Epoch: [32][50/9018]	Time 0.603 (0.649)	Data 0.001 (0.045)	Loss 2.0352 (2.0333)	Prec@1 47.000 (47.657)	Prec@5 78.000 (78.402)
Epoch: [32][60/9018]	Time 0.594 (0.643)	Data 0.001 (0.038)	Loss 2.0427 (2.0364)	Prec@1 48.500 (47.566)	Prec@5 81.500 (78.385)
Epoch: [32][70/9018]	Time 0.600 (0.639)	Data 0.001 (0.033)	Loss 2.0171 (2.0412)	Prec@1 47.500 (47.401)	Prec@5 79.500 (78.303)
Epoch: [32][80/9018]	Time 0.590 (0.635)	Data 0.001 (0.029)	Loss 2.1528 (2.0515)	Prec@1 45.500 (47.309)	Prec@5 76.000 (78.037)
Epoch: [32][90/9018]	Time 0.630 (0.633)	Data 0.001 (0.026)	Loss 2.1152 (2.0557)	Prec@1 44.500 (47.247)	Prec@5 77.500 (77.934)
Epoch: [32][100/9018]	Time 0.600 (0.630)	Data 0.001 (0.023)	Loss 1.9367 (2.0558)	Prec@1 44.500 (47.332)	Prec@5 81.000 (78.005)
Epoch: [32][110/9018]	Time 0.597 (0.629)	Data 0.001 (0.021)	Loss 2.1393 (2.0632)	Prec@1 48.000 (47.171)	Prec@5 75.500 (77.932)
Epoch: [32][120/9018]	Time 0.596 (0.626)	Data 0.001 (0.020)	Loss 1.9696 (2.0604)	Prec@1 47.000 (47.281)	Prec@5 83.000 (77.950)
Epoch: [32][130/9018]	Time 0.609 (0.626)	Data 0.001 (0.018)	Loss 2.0979 (2.0652)	Prec@1 48.500 (47.256)	Prec@5 73.500 (77.767)
Epoch: [32][140/9018]	Time 0.599 (0.626)	Data 0.001 (0.017)	Loss 2.2906 (2.0707)	Prec@1 41.500 (47.138)	Prec@5 72.000 (77.652)
Epoch: [32][150/9018]	Time 0.599 (0.624)	Data 0.001 (0.016)	Loss 2.0798 (2.0737)	Prec@1 48.500 (47.123)	Prec@5 75.000 (77.556)
Epoch: [32][160/9018]	Time 0.599 (0.623)	Data 0.001 (0.015)	Loss 2.0381 (2.0722)	Prec@1 46.500 (47.118)	Prec@5 78.000 (77.581)
Epoch: [32][170/9018]	Time 0.629 (0.622)	Data 0.001 (0.014)	Loss 2.0866 (2.0711)	Prec@1 45.500 (47.137)	Prec@5 79.500 (77.564)
Epoch: [32][180/9018]	Time 0.595 (0.621)	Data 0.001 (0.013)	Loss 1.8671 (2.0710)	Prec@1 52.000 (47.160)	Prec@5 79.000 (77.544)
Epoch: [32][190/9018]	Time 0.599 (0.622)	Data 0.001 (0.013)	Loss 1.9663 (2.0695)	Prec@1 49.000 (47.173)	Prec@5 76.500 (77.524)
Epoch: [32][200/9018]	Time 0.601 (0.620)	Data 0.001 (0.012)	Loss 2.2864 (2.0712)	Prec@1 37.000 (47.137)	Prec@5 77.000 (77.485)
Epoch: [32][210/9018]	Time 0.602 (0.620)	Data 0.001 (0.012)	Loss 2.0935 (2.0722)	Prec@1 48.500 (47.111)	Prec@5 80.000 (77.488)
Epoch: [32][220/9018]	Time 0.745 (0.620)	Data 0.001 (0.011)	Loss 1.9803 (2.0737)	Prec@1 47.000 (47.090)	Prec@5 81.000 (77.443)
Epoch: [32][230/9018]	Time 0.605 (0.619)	Data 0.001 (0.011)	Loss 2.0518 (2.0751)	Prec@1 47.500 (47.011)	Prec@5 78.500 (77.502)
Epoch: [32][240/9018]	Time 0.601 (0.619)	Data 0.001 (0.010)	Loss 1.9624 (2.0742)	Prec@1 49.500 (47.046)	Prec@5 81.500 (77.525)
Epoch: [32][250/9018]	Time 0.611 (0.619)	Data 0.001 (0.010)	Loss 2.0118 (2.0754)	Prec@1 46.000 (47.032)	Prec@5 78.000 (77.506)
Epoch: [32][260/9018]	Time 0.600 (0.618)	Data 0.001 (0.010)	Loss 2.1292 (2.0735)	Prec@1 47.500 (47.080)	Prec@5 73.000 (77.531)
Epoch: [32][270/9018]	Time 0.715 (0.618)	Data 0.001 (0.009)	Loss 2.2268 (2.0725)	Prec@1 44.000 (47.041)	Prec@5 72.500 (77.570)
Epoch: [32][280/9018]	Time 0.607 (0.618)	Data 0.001 (0.009)	Loss 2.3194 (2.0732)	Prec@1 40.000 (46.993)	Prec@5 72.000 (77.550)
Epoch: [32][290/9018]	Time 0.588 (0.617)	Data 0.001 (0.009)	Loss 1.9672 (2.0722)	Prec@1 50.000 (47.000)	Prec@5 79.500 (77.562)
Epoch: [32][300/9018]	Time 0.593 (0.617)	Data 0.001 (0.008)	Loss 2.1110 (2.0721)	Prec@1 45.000 (46.978)	Prec@5 73.000 (77.550)
Epoch: [32][310/9018]	Time 0.592 (0.617)	Data 0.001 (0.008)	Loss 2.1547 (2.0734)	Prec@1 41.000 (46.924)	Prec@5 76.500 (77.539)
Epoch: [32][320/9018]	Time 0.600 (0.617)	Data 0.001 (0.008)	Loss 2.0521 (2.0746)	Prec@1 49.000 (46.860)	Prec@5 79.500 (77.539)
Epoch: [32][330/9018]	Time 0.599 (0.616)	Data 0.001 (0.008)	Loss 2.1085 (2.0736)	Prec@1 48.500 (46.879)	Prec@5 78.000 (77.582)
Epoch: [32][340/9018]	Time 0.599 (0.616)	Data 0.001 (0.007)	Loss 2.1604 (2.0725)	Prec@1 43.500 (46.900)	Prec@5 76.000 (77.595)
Epoch: [32][350/9018]	Time 0.624 (0.616)	Data 0.001 (0.007)	Loss 1.9783 (2.0722)	Prec@1 50.000 (46.932)	Prec@5 80.500 (77.587)
Epoch: [32][360/9018]	Time 0.600 (0.616)	Data 0.001 (0.007)	Loss 1.7507 (2.0709)	Prec@1 54.500 (46.967)	Prec@5 85.000 (77.579)
Epoch: [32][370/9018]	Time 0.597 (0.616)	Data 0.001 (0.007)	Loss 1.9721 (2.0700)	Prec@1 50.000 (46.985)	Prec@5 81.000 (77.592)
Epoch: [32][380/9018]	Time 0.603 (0.616)	Data 0.001 (0.007)	Loss 2.0753 (2.0696)	Prec@1 49.000 (47.010)	Prec@5 77.500 (77.584)
Epoch: [32][390/9018]	Time 0.598 (0.615)	Data 0.001 (0.007)	Loss 2.2163 (2.0702)	Prec@1 43.500 (47.000)	Prec@5 74.000 (77.563)
Epoch: [32][400/9018]	Time 0.594 (0.615)	Data 0.001 (0.006)	Loss 2.0075 (2.0697)	Prec@1 47.500 (46.991)	Prec@5 80.000 (77.591)
Epoch: [32][410/9018]	Time 0.618 (0.615)	Data 0.001 (0.006)	Loss 1.9641 (2.0686)	Prec@1 50.500 (46.989)	Prec@5 80.500 (77.636)
Epoch: [32][420/9018]	Time 0.599 (0.615)	Data 0.001 (0.006)	Loss 2.0497 (2.0691)	Prec@1 47.500 (46.985)	Prec@5 76.000 (77.619)
Epoch: [32][430/9018]	Time 0.589 (0.615)	Data 0.001 (0.006)	Loss 2.1403 (2.0690)	Prec@1 40.000 (46.969)	Prec@5 76.500 (77.638)
Epoch: [32][440/9018]	Time 0.600 (0.615)	Data 0.001 (0.006)	Loss 2.1406 (2.0689)	Prec@1 41.500 (46.960)	Prec@5 74.500 (77.643)
Epoch: [32][450/9018]	Time 0.626 (0.615)	Data 0.001 (0.006)	Loss 2.0887 (2.0678)	Prec@1 45.000 (46.992)	Prec@5 81.000 (77.661)
Epoch: [32][460/9018]	Time 0.604 (0.615)	Data 0.001 (0.006)	Loss 2.0534 (2.0682)	Prec@1 44.000 (46.972)	Prec@5 80.500 (77.648)
Epoch: [32][470/9018]	Time 0.600 (0.615)	Data 0.001 (0.006)	Loss 2.2761 (2.0706)	Prec@1 41.500 (46.951)	Prec@5 72.500 (77.594)
Epoch: [32][480/9018]	Time 0.621 (0.615)	Data 0.001 (0.006)	Loss 2.1365 (2.0704)	Prec@1 43.500 (46.963)	Prec@5 75.500 (77.579)
Epoch: [32][490/9018]	Time 0.620 (0.615)	Data 0.001 (0.005)	Loss 2.0404 (2.0694)	Prec@1 50.500 (46.971)	Prec@5 78.000 (77.592)
Epoch: [32][500/9018]	Time 0.598 (0.614)	Data 0.001 (0.005)	Loss 2.0981 (2.0701)	Prec@1 50.500 (46.979)	Prec@5 75.000 (77.575)
Epoch: [32][510/9018]	Time 0.601 (0.614)	Data 0.001 (0.005)	Loss 2.0109 (2.0688)	Prec@1 48.500 (47.009)	Prec@5 79.500 (77.614)
Epoch: [32][520/9018]	Time 0.601 (0.614)	Data 0.001 (0.005)	Loss 2.2358 (2.0698)	Prec@1 45.000 (46.989)	Prec@5 73.000 (77.585)
Epoch: [32][530/9018]	Time 0.612 (0.614)	Data 0.001 (0.005)	Loss 2.1109 (2.0685)	Prec@1 49.000 (47.010)	Prec@5 73.500 (77.595)
Epoch: [32][540/9018]	Time 0.608 (0.614)	Data 0.001 (0.005)	Loss 2.0967 (2.0702)	Prec@1 44.500 (46.976)	Prec@5 77.500 (77.562)
Epoch: [32][550/9018]	Time 0.707 (0.614)	Data 0.001 (0.005)	Loss 2.1018 (2.0702)	Prec@1 46.000 (46.961)	Prec@5 75.500 (77.554)
Epoch: [32][560/9018]	Time 0.605 (0.614)	Data 0.001 (0.005)	Loss 2.0333 (2.0687)	Prec@1 46.000 (47.017)	Prec@5 79.000 (77.566)
Epoch: [32][570/9018]	Time 0.599 (0.614)	Data 0.001 (0.005)	Loss 2.1293 (2.0681)	Prec@1 47.500 (47.034)	Prec@5 79.000 (77.580)
Epoch: [32][580/9018]	Time 0.598 (0.614)	Data 0.001 (0.005)	Loss 2.1812 (2.0676)	Prec@1 47.500 (47.054)	Prec@5 76.000 (77.578)
Epoch: [32][590/9018]	Time 0.607 (0.614)	Data 0.001 (0.005)	Loss 2.0018 (2.0675)	Prec@1 50.500 (47.048)	Prec@5 78.000 (77.596)
Epoch: [32][600/9018]	Time 0.734 (0.614)	Data 0.001 (0.005)	Loss 2.0708 (2.0673)	Prec@1 48.000 (47.045)	Prec@5 75.500 (77.597)
Epoch: [32][610/9018]	Time 0.602 (0.613)	Data 0.001 (0.005)	Loss 2.2578 (2.0672)	Prec@1 43.000 (47.045)	Prec@5 76.000 (77.597)
Epoch: [32][620/9018]	Time 0.595 (0.613)	Data 0.001 (0.004)	Loss 2.3853 (2.0679)	Prec@1 36.500 (47.019)	Prec@5 73.500 (77.577)
Epoch: [32][630/9018]	Time 0.608 (0.613)	Data 0.001 (0.004)	Loss 2.3533 (2.0686)	Prec@1 42.500 (47.015)	Prec@5 70.000 (77.559)
Epoch: [32][640/9018]	Time 0.592 (0.613)	Data 0.001 (0.004)	Loss 2.0747 (2.0688)	Prec@1 49.500 (47.025)	Prec@5 74.000 (77.538)
Epoch: [32][650/9018]	Time 0.600 (0.613)	Data 0.001 (0.004)	Loss 2.1503 (2.0688)	Prec@1 47.500 (47.021)	Prec@5 72.500 (77.526)
Epoch: [32][660/9018]	Time 0.629 (0.613)	Data 0.001 (0.004)	Loss 2.1966 (2.0690)	Prec@1 45.500 (47.019)	Prec@5 76.500 (77.498)
Epoch: [32][670/9018]	Time 0.596 (0.613)	Data 0.001 (0.004)	Loss 2.2365 (2.0693)	Prec@1 41.500 (47.005)	Prec@5 76.000 (77.493)
Epoch: [32][680/9018]	Time 0.599 (0.613)	Data 0.001 (0.004)	Loss 1.9074 (2.0693)	Prec@1 50.500 (47.010)	Prec@5 80.500 (77.493)
Epoch: [32][690/9018]	Time 0.591 (0.613)	Data 0.001 (0.004)	Loss 1.9794 (2.0684)	Prec@1 48.000 (47.036)	Prec@5 79.000 (77.499)
Epoch: [32][700/9018]	Time 0.599 (0.613)	Data 0.001 (0.004)	Loss 1.9475 (2.0681)	Prec@1 52.000 (47.044)	Prec@5 78.000 (77.502)
Epoch: [32][710/9018]	Time 0.627 (0.613)	Data 0.001 (0.004)	Loss 2.1913 (2.0683)	Prec@1 43.500 (47.051)	Prec@5 74.000 (77.480)
Epoch: [32][720/9018]	Time 0.595 (0.613)	Data 0.001 (0.004)	Loss 1.9106 (2.0681)	Prec@1 47.500 (47.026)	Prec@5 81.500 (77.494)
Epoch: [32][730/9018]	Time 0.598 (0.613)	Data 0.001 (0.004)	Loss 2.0416 (2.0682)	Prec@1 46.000 (47.017)	Prec@5 80.500 (77.498)
Epoch: [32][740/9018]	Time 0.603 (0.613)	Data 0.001 (0.004)	Loss 1.8553 (2.0682)	Prec@1 52.500 (47.028)	Prec@5 80.500 (77.491)
Epoch: [32][750/9018]	Time 0.601 (0.613)	Data 0.001 (0.004)	Loss 2.2236 (2.0689)	Prec@1 46.500 (47.019)	Prec@5 74.500 (77.476)
Epoch: [32][760/9018]	Time 0.602 (0.613)	Data 0.001 (0.004)	Loss 1.8532 (2.0688)	Prec@1 47.500 (47.007)	Prec@5 83.500 (77.485)
Epoch: [32][770/9018]	Time 0.598 (0.613)	Data 0.001 (0.004)	Loss 2.0876 (2.0684)	Prec@1 48.000 (47.020)	Prec@5 74.500 (77.483)
Epoch: [32][780/9018]	Time 0.604 (0.613)	Data 0.001 (0.004)	Loss 2.0509 (2.0683)	Prec@1 46.500 (47.011)	Prec@5 80.000 (77.492)
Epoch: [32][790/9018]	Time 0.602 (0.613)	Data 0.001 (0.004)	Loss 2.0638 (2.0683)	Prec@1 50.000 (47.005)	Prec@5 78.500 (77.487)
Epoch: [32][800/9018]	Time 0.606 (0.613)	Data 0.001 (0.004)	Loss 2.0087 (2.0679)	Prec@1 49.500 (47.017)	Prec@5 75.500 (77.498)
Epoch: [32][810/9018]	Time 0.598 (0.613)	Data 0.001 (0.004)	Loss 2.1628 (2.0680)	Prec@1 41.000 (46.992)	Prec@5 75.000 (77.488)
Epoch: [32][820/9018]	Time 0.600 (0.613)	Data 0.001 (0.004)	Loss 2.1107 (2.0677)	Prec@1 44.500 (46.981)	Prec@5 76.500 (77.485)
Epoch: [32][830/9018]	Time 0.600 (0.613)	Data 0.001 (0.004)	Loss 2.0484 (2.0684)	Prec@1 45.500 (46.970)	Prec@5 80.000 (77.470)
Epoch: [32][840/9018]	Time 0.605 (0.613)	Data 0.001 (0.003)	Loss 2.0193 (2.0677)	Prec@1 45.000 (46.992)	Prec@5 79.500 (77.486)
Epoch: [32][850/9018]	Time 0.610 (0.613)	Data 0.001 (0.003)	Loss 1.9877 (2.0673)	Prec@1 48.500 (47.004)	Prec@5 79.500 (77.496)
Epoch: [32][860/9018]	Time 0.595 (0.612)	Data 0.001 (0.003)	Loss 2.0571 (2.0677)	Prec@1 52.000 (47.000)	Prec@5 77.000 (77.492)
Epoch: [32][870/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.1596 (2.0669)	Prec@1 46.500 (47.010)	Prec@5 75.000 (77.499)
Epoch: [32][880/9018]	Time 0.731 (0.613)	Data 0.001 (0.003)	Loss 2.1793 (2.0666)	Prec@1 44.000 (47.010)	Prec@5 72.000 (77.509)
Epoch: [32][890/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.2486 (2.0667)	Prec@1 43.500 (47.004)	Prec@5 76.000 (77.513)
Epoch: [32][900/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.1172 (2.0661)	Prec@1 45.000 (47.025)	Prec@5 75.500 (77.521)
Epoch: [32][910/9018]	Time 0.629 (0.612)	Data 0.001 (0.003)	Loss 1.8539 (2.0665)	Prec@1 50.500 (47.004)	Prec@5 82.500 (77.518)
Epoch: [32][920/9018]	Time 0.595 (0.612)	Data 0.001 (0.003)	Loss 2.0639 (2.0668)	Prec@1 48.500 (47.008)	Prec@5 77.000 (77.509)
Epoch: [32][930/9018]	Time 0.717 (0.612)	Data 0.001 (0.003)	Loss 1.9863 (2.0669)	Prec@1 47.000 (47.016)	Prec@5 79.500 (77.509)
Epoch: [32][940/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 2.0670 (2.0670)	Prec@1 46.000 (47.022)	Prec@5 80.000 (77.506)
Epoch: [32][950/9018]	Time 0.633 (0.612)	Data 0.001 (0.003)	Loss 1.8753 (2.0664)	Prec@1 50.000 (47.030)	Prec@5 82.000 (77.524)
Epoch: [32][960/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.0692 (2.0659)	Prec@1 45.500 (47.038)	Prec@5 78.500 (77.540)
Epoch: [32][970/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.0590 (2.0663)	Prec@1 48.500 (47.028)	Prec@5 74.500 (77.531)
Epoch: [32][980/9018]	Time 0.628 (0.612)	Data 0.001 (0.003)	Loss 2.1018 (2.0660)	Prec@1 47.500 (47.038)	Prec@5 79.000 (77.533)
Epoch: [32][990/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 1.9253 (2.0655)	Prec@1 49.500 (47.052)	Prec@5 81.000 (77.539)
Epoch: [32][1000/9018]	Time 0.612 (0.612)	Data 0.001 (0.003)	Loss 2.0805 (2.0654)	Prec@1 48.000 (47.052)	Prec@5 75.000 (77.549)
Epoch: [32][1010/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 1.8746 (2.0649)	Prec@1 52.000 (47.053)	Prec@5 82.000 (77.562)
Epoch: [32][1020/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 1.8719 (2.0647)	Prec@1 54.500 (47.057)	Prec@5 76.000 (77.559)
Epoch: [32][1030/9018]	Time 0.603 (0.612)	Data 0.001 (0.003)	Loss 1.9501 (2.0641)	Prec@1 49.500 (47.057)	Prec@5 80.000 (77.561)
Epoch: [32][1040/9018]	Time 0.606 (0.612)	Data 0.001 (0.003)	Loss 2.1625 (2.0641)	Prec@1 40.500 (47.053)	Prec@5 76.500 (77.561)
Epoch: [32][1050/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.0213 (2.0646)	Prec@1 48.500 (47.050)	Prec@5 77.000 (77.542)
Epoch: [32][1060/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 2.1693 (2.0647)	Prec@1 41.500 (47.044)	Prec@5 76.500 (77.542)
Epoch: [32][1070/9018]	Time 0.604 (0.612)	Data 0.001 (0.003)	Loss 2.0851 (2.0647)	Prec@1 50.000 (47.041)	Prec@5 78.500 (77.550)
Epoch: [32][1080/9018]	Time 0.612 (0.612)	Data 0.001 (0.003)	Loss 1.9200 (2.0649)	Prec@1 49.500 (47.029)	Prec@5 80.500 (77.552)
Epoch: [32][1090/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.0575 (2.0642)	Prec@1 45.500 (47.033)	Prec@5 79.000 (77.569)
Epoch: [32][1100/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 1.8883 (2.0640)	Prec@1 51.500 (47.035)	Prec@5 84.500 (77.574)
Epoch: [32][1110/9018]	Time 0.591 (0.612)	Data 0.001 (0.003)	Loss 2.1824 (2.0641)	Prec@1 48.000 (47.016)	Prec@5 75.000 (77.573)
Epoch: [32][1120/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 1.9900 (2.0641)	Prec@1 47.000 (47.005)	Prec@5 77.000 (77.579)
Epoch: [32][1130/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 1.9593 (2.0641)	Prec@1 46.500 (47.004)	Prec@5 78.000 (77.570)
Epoch: [32][1140/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 2.1530 (2.0643)	Prec@1 45.000 (46.999)	Prec@5 74.000 (77.568)
Epoch: [32][1150/9018]	Time 0.615 (0.612)	Data 0.001 (0.003)	Loss 2.1312 (2.0647)	Prec@1 41.500 (46.976)	Prec@5 77.500 (77.568)
Epoch: [32][1160/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 2.4624 (2.0647)	Prec@1 43.500 (46.967)	Prec@5 73.000 (77.570)
Epoch: [32][1170/9018]	Time 0.612 (0.612)	Data 0.001 (0.003)	Loss 1.7771 (2.0643)	Prec@1 53.500 (46.978)	Prec@5 84.000 (77.583)
Epoch: [32][1180/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.0804 (2.0642)	Prec@1 47.500 (46.978)	Prec@5 77.000 (77.591)
Epoch: [32][1190/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.1512 (2.0645)	Prec@1 42.500 (46.974)	Prec@5 74.000 (77.587)
Epoch: [32][1200/9018]	Time 0.604 (0.612)	Data 0.001 (0.003)	Loss 1.8936 (2.0645)	Prec@1 48.500 (46.968)	Prec@5 79.500 (77.585)
Epoch: [32][1210/9018]	Time 0.721 (0.612)	Data 0.001 (0.003)	Loss 1.7388 (2.0643)	Prec@1 52.000 (46.974)	Prec@5 83.000 (77.590)
Epoch: [32][1220/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 1.9167 (2.0643)	Prec@1 47.500 (46.973)	Prec@5 80.500 (77.587)
Epoch: [32][1230/9018]	Time 0.630 (0.612)	Data 0.001 (0.003)	Loss 1.9831 (2.0649)	Prec@1 45.500 (46.975)	Prec@5 78.000 (77.569)
Epoch: [32][1240/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.0686 (2.0649)	Prec@1 39.500 (46.977)	Prec@5 80.000 (77.565)
Epoch: [32][1250/9018]	Time 0.609 (0.612)	Data 0.001 (0.003)	Loss 2.0205 (2.0648)	Prec@1 49.000 (46.980)	Prec@5 76.000 (77.556)
Epoch: [32][1260/9018]	Time 0.725 (0.612)	Data 0.001 (0.003)	Loss 2.1608 (2.0650)	Prec@1 43.500 (46.985)	Prec@5 76.500 (77.546)
Epoch: [32][1270/9018]	Time 0.626 (0.612)	Data 0.001 (0.003)	Loss 2.0011 (2.0654)	Prec@1 51.500 (46.988)	Prec@5 77.000 (77.532)
Epoch: [32][1280/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 2.1945 (2.0655)	Prec@1 47.500 (46.989)	Prec@5 79.000 (77.523)
Epoch: [32][1290/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 1.9296 (2.0653)	Prec@1 50.000 (46.995)	Prec@5 78.500 (77.536)
Epoch: [32][1300/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.0145 (2.0658)	Prec@1 48.500 (46.998)	Prec@5 78.000 (77.528)
Epoch: [32][1310/9018]	Time 0.619 (0.612)	Data 0.001 (0.003)	Loss 1.9305 (2.0654)	Prec@1 51.000 (47.005)	Prec@5 82.000 (77.535)
Epoch: [32][1320/9018]	Time 0.612 (0.612)	Data 0.001 (0.003)	Loss 2.1731 (2.0652)	Prec@1 40.500 (47.010)	Prec@5 71.000 (77.539)
Epoch: [32][1330/9018]	Time 0.622 (0.612)	Data 0.001 (0.002)	Loss 1.9765 (2.0648)	Prec@1 45.500 (47.008)	Prec@5 78.000 (77.551)
Epoch: [32][1340/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.1242 (2.0652)	Prec@1 44.000 (46.994)	Prec@5 76.500 (77.543)
Epoch: [32][1350/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 1.9802 (2.0648)	Prec@1 47.000 (47.007)	Prec@5 81.500 (77.553)
Epoch: [32][1360/9018]	Time 0.592 (0.612)	Data 0.001 (0.002)	Loss 1.9638 (2.0648)	Prec@1 46.500 (47.015)	Prec@5 78.000 (77.550)
Epoch: [32][1370/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.0090 (2.0652)	Prec@1 50.000 (47.009)	Prec@5 79.000 (77.544)
Epoch: [32][1380/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.2321 (2.0654)	Prec@1 40.500 (47.003)	Prec@5 74.500 (77.541)
Epoch: [32][1390/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.0759 (2.0654)	Prec@1 46.000 (47.003)	Prec@5 76.000 (77.545)
Epoch: [32][1400/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 1.9981 (2.0653)	Prec@1 50.500 (47.003)	Prec@5 82.000 (77.549)
Epoch: [32][1410/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 2.1632 (2.0656)	Prec@1 39.500 (46.998)	Prec@5 72.500 (77.540)
Epoch: [32][1420/9018]	Time 0.631 (0.612)	Data 0.001 (0.002)	Loss 2.0046 (2.0656)	Prec@1 46.500 (46.990)	Prec@5 76.000 (77.543)
Epoch: [32][1430/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.1819 (2.0656)	Prec@1 48.000 (46.994)	Prec@5 74.000 (77.543)
Epoch: [32][1440/9018]	Time 0.589 (0.612)	Data 0.001 (0.002)	Loss 2.3492 (2.0660)	Prec@1 40.000 (46.982)	Prec@5 71.000 (77.537)
Epoch: [32][1450/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.2118 (2.0659)	Prec@1 45.000 (46.988)	Prec@5 73.000 (77.541)
Epoch: [32][1460/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.9826 (2.0656)	Prec@1 47.500 (46.987)	Prec@5 83.000 (77.552)
Epoch: [32][1470/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.3688 (2.0658)	Prec@1 39.500 (46.984)	Prec@5 71.500 (77.549)
Epoch: [32][1480/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 2.0198 (2.0658)	Prec@1 48.500 (46.976)	Prec@5 78.000 (77.546)
Epoch: [32][1490/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.9277 (2.0658)	Prec@1 52.500 (46.976)	Prec@5 78.500 (77.541)
Epoch: [32][1500/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.9668 (2.0654)	Prec@1 47.000 (46.987)	Prec@5 78.000 (77.546)
Epoch: [32][1510/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.1400 (2.0658)	Prec@1 45.500 (46.979)	Prec@5 76.500 (77.539)
Epoch: [32][1520/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 2.1388 (2.0661)	Prec@1 40.500 (46.969)	Prec@5 73.500 (77.535)
Epoch: [32][1530/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.3963 (2.0658)	Prec@1 40.500 (46.976)	Prec@5 71.000 (77.543)
Epoch: [32][1540/9018]	Time 0.718 (0.612)	Data 0.001 (0.002)	Loss 2.1694 (2.0657)	Prec@1 47.500 (46.975)	Prec@5 72.000 (77.546)
Epoch: [32][1550/9018]	Time 0.591 (0.611)	Data 0.001 (0.002)	Loss 2.1052 (2.0664)	Prec@1 44.000 (46.962)	Prec@5 79.000 (77.538)
Epoch: [32][1560/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.9554 (2.0658)	Prec@1 47.000 (46.977)	Prec@5 78.500 (77.547)
Epoch: [32][1570/9018]	Time 0.612 (0.611)	Data 0.001 (0.002)	Loss 1.8107 (2.0659)	Prec@1 52.000 (46.976)	Prec@5 80.500 (77.540)
Epoch: [32][1580/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.9697 (2.0659)	Prec@1 46.500 (46.985)	Prec@5 80.500 (77.537)
Epoch: [32][1590/9018]	Time 0.718 (0.612)	Data 0.001 (0.002)	Loss 2.1653 (2.0660)	Prec@1 45.000 (46.984)	Prec@5 75.000 (77.538)
Epoch: [32][1600/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.9727 (2.0662)	Prec@1 50.500 (46.979)	Prec@5 76.500 (77.532)
Epoch: [32][1610/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.0701 (2.0666)	Prec@1 47.000 (46.977)	Prec@5 76.000 (77.527)
Epoch: [32][1620/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 2.0307 (2.0663)	Prec@1 50.500 (46.981)	Prec@5 78.000 (77.532)
Epoch: [32][1630/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.1699 (2.0660)	Prec@1 41.000 (46.979)	Prec@5 76.500 (77.536)
Epoch: [32][1640/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 2.2456 (2.0660)	Prec@1 45.500 (46.979)	Prec@5 73.500 (77.536)
Epoch: [32][1650/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.9649 (2.0661)	Prec@1 51.000 (46.979)	Prec@5 77.000 (77.531)
Epoch: [32][1660/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.1386 (2.0663)	Prec@1 48.500 (46.975)	Prec@5 77.000 (77.527)
Epoch: [32][1670/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 1.8865 (2.0663)	Prec@1 52.500 (46.970)	Prec@5 82.000 (77.525)
Epoch: [32][1680/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9864 (2.0661)	Prec@1 48.000 (46.977)	Prec@5 79.500 (77.529)
Epoch: [32][1690/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.0692 (2.0662)	Prec@1 45.500 (46.970)	Prec@5 78.000 (77.526)
Epoch: [32][1700/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.9897 (2.0664)	Prec@1 45.500 (46.964)	Prec@5 79.000 (77.521)
Epoch: [32][1710/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.2698 (2.0662)	Prec@1 39.000 (46.966)	Prec@5 71.000 (77.517)
Epoch: [32][1720/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.9491 (2.0662)	Prec@1 47.000 (46.963)	Prec@5 84.500 (77.523)
Epoch: [32][1730/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.3004 (2.0659)	Prec@1 37.000 (46.962)	Prec@5 75.000 (77.527)
Epoch: [32][1740/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.3417 (2.0664)	Prec@1 39.500 (46.955)	Prec@5 72.000 (77.513)
Epoch: [32][1750/9018]	Time 0.623 (0.611)	Data 0.001 (0.002)	Loss 2.0357 (2.0664)	Prec@1 42.500 (46.953)	Prec@5 77.500 (77.514)
Epoch: [32][1760/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.1573 (2.0660)	Prec@1 47.000 (46.965)	Prec@5 73.500 (77.519)
Epoch: [32][1770/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.2670 (2.0659)	Prec@1 42.000 (46.966)	Prec@5 75.500 (77.519)
Epoch: [32][1780/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.1045 (2.0658)	Prec@1 48.000 (46.964)	Prec@5 77.500 (77.525)
Epoch: [32][1790/9018]	Time 0.628 (0.611)	Data 0.001 (0.002)	Loss 2.1086 (2.0661)	Prec@1 48.000 (46.953)	Prec@5 77.500 (77.521)
Epoch: [32][1800/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.0451 (2.0659)	Prec@1 48.000 (46.958)	Prec@5 79.000 (77.522)
Epoch: [32][1810/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.0597 (2.0663)	Prec@1 41.500 (46.952)	Prec@5 78.000 (77.514)
Epoch: [32][1820/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 1.9748 (2.0661)	Prec@1 51.000 (46.954)	Prec@5 76.500 (77.515)
Epoch: [32][1830/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.1961 (2.0663)	Prec@1 50.500 (46.958)	Prec@5 73.500 (77.510)
Epoch: [32][1840/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 1.9637 (2.0667)	Prec@1 43.500 (46.944)	Prec@5 82.500 (77.501)
Epoch: [32][1850/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.0900 (2.0666)	Prec@1 42.000 (46.949)	Prec@5 77.500 (77.508)
Epoch: [32][1860/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.2377 (2.0668)	Prec@1 44.000 (46.948)	Prec@5 76.000 (77.510)
Epoch: [32][1870/9018]	Time 0.719 (0.611)	Data 0.001 (0.002)	Loss 2.0468 (2.0667)	Prec@1 52.500 (46.950)	Prec@5 77.000 (77.512)
Epoch: [32][1880/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 1.8805 (2.0667)	Prec@1 51.000 (46.954)	Prec@5 83.000 (77.519)
Epoch: [32][1890/9018]	Time 0.617 (0.611)	Data 0.001 (0.002)	Loss 2.2403 (2.0669)	Prec@1 45.500 (46.947)	Prec@5 76.500 (77.519)
Epoch: [32][1900/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.9784 (2.0669)	Prec@1 47.000 (46.950)	Prec@5 79.000 (77.516)
Epoch: [32][1910/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.1693 (2.0667)	Prec@1 41.500 (46.950)	Prec@5 71.000 (77.515)
Epoch: [32][1920/9018]	Time 0.717 (0.611)	Data 0.001 (0.002)	Loss 1.9321 (2.0664)	Prec@1 51.500 (46.958)	Prec@5 80.500 (77.522)
Epoch: [32][1930/9018]	Time 0.620 (0.611)	Data 0.001 (0.002)	Loss 2.3206 (2.0665)	Prec@1 43.500 (46.956)	Prec@5 73.500 (77.523)
Epoch: [32][1940/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 1.9113 (2.0665)	Prec@1 46.500 (46.960)	Prec@5 80.500 (77.521)
Epoch: [32][1950/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.1975 (2.0666)	Prec@1 45.000 (46.958)	Prec@5 75.000 (77.526)
Epoch: [32][1960/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.3542 (2.0668)	Prec@1 44.500 (46.955)	Prec@5 74.500 (77.523)
Epoch: [32][1970/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0195 (2.0667)	Prec@1 47.500 (46.955)	Prec@5 79.000 (77.521)
Epoch: [32][1980/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 2.1318 (2.0668)	Prec@1 46.000 (46.953)	Prec@5 79.000 (77.524)
Epoch: [32][1990/9018]	Time 0.625 (0.611)	Data 0.001 (0.002)	Loss 2.2043 (2.0672)	Prec@1 42.000 (46.948)	Prec@5 75.000 (77.519)
Epoch: [32][2000/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.2079 (2.0674)	Prec@1 45.500 (46.946)	Prec@5 74.000 (77.512)
Epoch: [32][2010/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.7497 (2.0672)	Prec@1 52.000 (46.947)	Prec@5 82.500 (77.516)
Epoch: [32][2020/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9714 (2.0670)	Prec@1 47.500 (46.942)	Prec@5 78.500 (77.526)
Epoch: [32][2030/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.1248 (2.0671)	Prec@1 44.500 (46.945)	Prec@5 75.000 (77.521)
Epoch: [32][2040/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.0578 (2.0672)	Prec@1 44.000 (46.950)	Prec@5 80.500 (77.522)
Epoch: [32][2050/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.2916 (2.0674)	Prec@1 43.000 (46.946)	Prec@5 76.000 (77.515)
Epoch: [32][2060/9018]	Time 0.619 (0.611)	Data 0.001 (0.002)	Loss 1.6837 (2.0672)	Prec@1 57.000 (46.958)	Prec@5 83.000 (77.512)
Epoch: [32][2070/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.1921 (2.0671)	Prec@1 46.000 (46.962)	Prec@5 74.500 (77.521)
Epoch: [32][2080/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.2495 (2.0673)	Prec@1 43.500 (46.966)	Prec@5 73.000 (77.514)
Epoch: [32][2090/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.9724 (2.0675)	Prec@1 46.000 (46.962)	Prec@5 82.000 (77.509)
Epoch: [32][2100/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.9906 (2.0674)	Prec@1 50.000 (46.973)	Prec@5 79.500 (77.506)
Epoch: [32][2110/9018]	Time 0.631 (0.611)	Data 0.001 (0.002)	Loss 2.1688 (2.0676)	Prec@1 42.000 (46.968)	Prec@5 79.500 (77.512)
Epoch: [32][2120/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.8461 (2.0679)	Prec@1 51.000 (46.962)	Prec@5 82.500 (77.505)
Epoch: [32][2130/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.0360 (2.0678)	Prec@1 47.000 (46.967)	Prec@5 78.000 (77.508)
Epoch: [32][2140/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.1092 (2.0678)	Prec@1 45.500 (46.965)	Prec@5 77.000 (77.508)
Epoch: [32][2150/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.8546 (2.0679)	Prec@1 51.000 (46.960)	Prec@5 82.000 (77.512)
Epoch: [32][2160/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.2632 (2.0680)	Prec@1 39.000 (46.955)	Prec@5 74.500 (77.506)
Epoch: [32][2170/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0516 (2.0680)	Prec@1 47.000 (46.954)	Prec@5 78.500 (77.503)
Epoch: [32][2180/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.9769 (2.0682)	Prec@1 48.500 (46.956)	Prec@5 81.000 (77.498)
Epoch: [32][2190/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 2.0578 (2.0681)	Prec@1 49.000 (46.959)	Prec@5 75.500 (77.498)
Epoch: [32][2200/9018]	Time 0.775 (0.611)	Data 0.001 (0.002)	Loss 2.0271 (2.0679)	Prec@1 48.000 (46.963)	Prec@5 78.500 (77.504)
Epoch: [32][2210/9018]	Time 0.618 (0.611)	Data 0.001 (0.002)	Loss 1.8099 (2.0678)	Prec@1 54.500 (46.969)	Prec@5 82.000 (77.509)
Epoch: [32][2220/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.0397 (2.0676)	Prec@1 50.500 (46.971)	Prec@5 79.000 (77.514)
Epoch: [32][2230/9018]	Time 0.587 (0.611)	Data 0.001 (0.002)	Loss 2.0670 (2.0675)	Prec@1 46.500 (46.976)	Prec@5 77.000 (77.513)
Epoch: [32][2240/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.0886 (2.0674)	Prec@1 51.000 (46.982)	Prec@5 77.500 (77.516)
Epoch: [32][2250/9018]	Time 0.725 (0.611)	Data 0.001 (0.002)	Loss 2.1078 (2.0674)	Prec@1 47.500 (46.984)	Prec@5 73.500 (77.519)
Epoch: [32][2260/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.9705 (2.0673)	Prec@1 51.000 (46.988)	Prec@5 81.500 (77.521)
Epoch: [32][2270/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.9813 (2.0675)	Prec@1 50.000 (46.991)	Prec@5 78.500 (77.520)
Epoch: [32][2280/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.9394 (2.0674)	Prec@1 48.000 (46.988)	Prec@5 80.000 (77.518)
Epoch: [32][2290/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.1424 (2.0677)	Prec@1 48.500 (46.978)	Prec@5 77.500 (77.515)
Epoch: [32][2300/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.9085 (2.0676)	Prec@1 51.000 (46.976)	Prec@5 81.500 (77.518)
Epoch: [32][2310/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 2.0596 (2.0676)	Prec@1 49.000 (46.977)	Prec@5 79.500 (77.522)
Epoch: [32][2320/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.1660 (2.0675)	Prec@1 43.000 (46.978)	Prec@5 77.000 (77.519)
Epoch: [32][2330/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.9297 (2.0673)	Prec@1 49.500 (46.982)	Prec@5 78.000 (77.524)
Epoch: [32][2340/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0122 (2.0674)	Prec@1 47.500 (46.985)	Prec@5 82.500 (77.522)
Epoch: [32][2350/9018]	Time 0.634 (0.611)	Data 0.001 (0.002)	Loss 2.2151 (2.0673)	Prec@1 45.000 (46.984)	Prec@5 76.000 (77.527)
Epoch: [32][2360/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.0632 (2.0671)	Prec@1 50.500 (46.983)	Prec@5 76.500 (77.532)
Epoch: [32][2370/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.9637 (2.0666)	Prec@1 46.000 (46.995)	Prec@5 78.500 (77.537)
Epoch: [32][2380/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.9998 (2.0664)	Prec@1 50.500 (46.995)	Prec@5 76.000 (77.537)
Epoch: [32][2390/9018]	Time 0.617 (0.611)	Data 0.001 (0.002)	Loss 1.9528 (2.0661)	Prec@1 53.000 (47.003)	Prec@5 80.000 (77.542)
Epoch: [32][2400/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.9834 (2.0661)	Prec@1 46.000 (47.007)	Prec@5 79.500 (77.542)
Epoch: [32][2410/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.1768 (2.0661)	Prec@1 41.000 (47.007)	Prec@5 79.000 (77.543)
Epoch: [32][2420/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 1.8486 (2.0661)	Prec@1 54.000 (47.003)	Prec@5 80.000 (77.540)
Epoch: [32][2430/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.1872 (2.0661)	Prec@1 48.500 (47.005)	Prec@5 75.000 (77.538)
Epoch: [32][2440/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.0101 (2.0661)	Prec@1 48.500 (47.000)	Prec@5 79.000 (77.538)
Epoch: [32][2450/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.3018 (2.0662)	Prec@1 43.000 (46.997)	Prec@5 73.500 (77.534)
Epoch: [32][2460/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.1633 (2.0662)	Prec@1 43.500 (47.001)	Prec@5 77.000 (77.534)
Epoch: [32][2470/9018]	Time 0.614 (0.611)	Data 0.001 (0.002)	Loss 2.0312 (2.0662)	Prec@1 50.500 (47.003)	Prec@5 76.500 (77.533)
Epoch: [32][2480/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.9546 (2.0662)	Prec@1 52.500 (47.004)	Prec@5 80.000 (77.529)
Epoch: [32][2490/9018]	Time 0.590 (0.611)	Data 0.001 (0.002)	Loss 1.9507 (2.0660)	Prec@1 48.500 (47.010)	Prec@5 83.500 (77.530)
Epoch: [32][2500/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.2291 (2.0661)	Prec@1 46.500 (47.009)	Prec@5 73.500 (77.531)
Epoch: [32][2510/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.3497 (2.0665)	Prec@1 43.000 (47.003)	Prec@5 77.500 (77.525)
Epoch: [32][2520/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.8511 (2.0664)	Prec@1 51.500 (47.004)	Prec@5 78.500 (77.525)
Epoch: [32][2530/9018]	Time 0.720 (0.611)	Data 0.001 (0.002)	Loss 2.1112 (2.0666)	Prec@1 45.500 (46.996)	Prec@5 78.500 (77.520)
Epoch: [32][2540/9018]	Time 0.619 (0.611)	Data 0.001 (0.002)	Loss 2.0200 (2.0669)	Prec@1 49.000 (46.990)	Prec@5 74.500 (77.514)
Epoch: [32][2550/9018]	Time 0.618 (0.611)	Data 0.001 (0.002)	Loss 1.9340 (2.0669)	Prec@1 44.000 (46.990)	Prec@5 81.500 (77.518)
Epoch: [32][2560/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 2.0636 (2.0670)	Prec@1 47.000 (46.987)	Prec@5 79.500 (77.515)
Epoch: [32][2570/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.0691 (2.0672)	Prec@1 52.000 (46.983)	Prec@5 77.000 (77.514)
Epoch: [32][2580/9018]	Time 0.731 (0.611)	Data 0.001 (0.002)	Loss 2.1995 (2.0672)	Prec@1 43.500 (46.983)	Prec@5 76.000 (77.518)
Epoch: [32][2590/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0740 (2.0672)	Prec@1 47.000 (46.990)	Prec@5 78.000 (77.519)
Epoch: [32][2600/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.0749 (2.0673)	Prec@1 45.500 (46.988)	Prec@5 76.000 (77.516)
Epoch: [32][2610/9018]	Time 0.619 (0.611)	Data 0.001 (0.002)	Loss 2.1413 (2.0673)	Prec@1 38.000 (46.985)	Prec@5 75.500 (77.514)
Epoch: [32][2620/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.1237 (2.0673)	Prec@1 41.500 (46.981)	Prec@5 76.500 (77.512)
Epoch: [32][2630/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0145 (2.0672)	Prec@1 48.500 (46.983)	Prec@5 79.500 (77.517)
Epoch: [32][2640/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.1314 (2.0673)	Prec@1 48.000 (46.978)	Prec@5 77.500 (77.516)
Epoch: [32][2650/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.9221 (2.0673)	Prec@1 52.000 (46.981)	Prec@5 78.500 (77.518)
Epoch: [32][2660/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0080 (2.0672)	Prec@1 46.000 (46.979)	Prec@5 77.500 (77.522)
Epoch: [32][2670/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.0469 (2.0673)	Prec@1 48.500 (46.981)	Prec@5 77.500 (77.520)
Epoch: [32][2680/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 1.9887 (2.0675)	Prec@1 46.500 (46.977)	Prec@5 79.500 (77.515)
Epoch: [32][2690/9018]	Time 0.616 (0.611)	Data 0.001 (0.002)	Loss 2.1660 (2.0674)	Prec@1 48.000 (46.983)	Prec@5 72.500 (77.520)
Epoch: [32][2700/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.0611 (2.0672)	Prec@1 46.500 (46.987)	Prec@5 78.000 (77.523)
Epoch: [32][2710/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.2704 (2.0673)	Prec@1 44.500 (46.987)	Prec@5 77.500 (77.523)
Epoch: [32][2720/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.9984 (2.0672)	Prec@1 46.500 (46.990)	Prec@5 78.500 (77.522)
Epoch: [32][2730/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.1848 (2.0673)	Prec@1 47.500 (46.992)	Prec@5 76.000 (77.523)
Epoch: [32][2740/9018]	Time 0.591 (0.611)	Data 0.001 (0.002)	Loss 2.1486 (2.0676)	Prec@1 45.000 (46.984)	Prec@5 73.500 (77.515)
Epoch: [32][2750/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0700 (2.0673)	Prec@1 47.500 (46.987)	Prec@5 77.000 (77.519)
Epoch: [32][2760/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9904 (2.0672)	Prec@1 49.000 (46.991)	Prec@5 79.500 (77.525)
Epoch: [32][2770/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.3887 (2.0674)	Prec@1 43.500 (46.993)	Prec@5 71.000 (77.520)
Epoch: [32][2780/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.0261 (2.0674)	Prec@1 45.500 (46.991)	Prec@5 78.000 (77.525)
Epoch: [32][2790/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.9886 (2.0675)	Prec@1 49.500 (46.990)	Prec@5 81.000 (77.528)
Epoch: [32][2800/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.3002 (2.0675)	Prec@1 42.500 (46.988)	Prec@5 68.500 (77.527)
Epoch: [32][2810/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.9197 (2.0675)	Prec@1 46.500 (46.991)	Prec@5 81.500 (77.527)
Epoch: [32][2820/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.0908 (2.0675)	Prec@1 44.000 (46.988)	Prec@5 76.000 (77.530)
Epoch: [32][2830/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.8552 (2.0674)	Prec@1 54.000 (46.989)	Prec@5 79.000 (77.532)
Epoch: [32][2840/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.4736 (2.0674)	Prec@1 39.500 (46.989)	Prec@5 74.000 (77.532)
Epoch: [32][2850/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.9595 (2.0674)	Prec@1 52.500 (46.995)	Prec@5 79.000 (77.532)
Epoch: [32][2860/9018]	Time 0.715 (0.611)	Data 0.001 (0.002)	Loss 1.8162 (2.0672)	Prec@1 49.000 (47.002)	Prec@5 83.500 (77.535)
Epoch: [32][2870/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9935 (2.0672)	Prec@1 54.000 (47.004)	Prec@5 80.500 (77.535)
Epoch: [32][2880/9018]	Time 0.614 (0.611)	Data 0.001 (0.002)	Loss 2.0369 (2.0673)	Prec@1 47.000 (47.006)	Prec@5 76.500 (77.531)
Epoch: [32][2890/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.0383 (2.0671)	Prec@1 48.500 (47.008)	Prec@5 76.000 (77.534)
Epoch: [32][2900/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0282 (2.0671)	Prec@1 38.500 (47.002)	Prec@5 78.000 (77.531)
Epoch: [32][2910/9018]	Time 0.705 (0.611)	Data 0.001 (0.002)	Loss 1.8939 (2.0670)	Prec@1 51.500 (47.002)	Prec@5 81.000 (77.534)
Epoch: [32][2920/9018]	Time 0.628 (0.611)	Data 0.001 (0.002)	Loss 1.8314 (2.0669)	Prec@1 51.000 (47.003)	Prec@5 84.000 (77.542)
Epoch: [32][2930/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.1043 (2.0668)	Prec@1 43.500 (46.999)	Prec@5 76.500 (77.543)
Epoch: [32][2940/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.0805 (2.0668)	Prec@1 43.500 (47.002)	Prec@5 77.500 (77.541)
Epoch: [32][2950/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.1321 (2.0668)	Prec@1 50.000 (47.006)	Prec@5 75.500 (77.536)
Epoch: [32][2960/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.0486 (2.0668)	Prec@1 42.500 (47.005)	Prec@5 75.500 (77.539)
Epoch: [32][2970/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.2125 (2.0669)	Prec@1 42.500 (47.003)	Prec@5 75.000 (77.533)
Epoch: [32][2980/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0719 (2.0668)	Prec@1 46.000 (47.004)	Prec@5 77.500 (77.534)
Epoch: [32][2990/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.1086 (2.0669)	Prec@1 47.000 (47.003)	Prec@5 76.000 (77.533)
Epoch: [32][3000/9018]	Time 0.622 (0.611)	Data 0.001 (0.002)	Loss 2.2831 (2.0669)	Prec@1 40.500 (47.001)	Prec@5 74.500 (77.533)
Epoch: [32][3010/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.1862 (2.0668)	Prec@1 44.000 (47.001)	Prec@5 77.000 (77.537)
Epoch: [32][3020/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.9114 (2.0668)	Prec@1 48.500 (47.001)	Prec@5 79.000 (77.537)
Epoch: [32][3030/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 2.1919 (2.0671)	Prec@1 48.500 (46.997)	Prec@5 73.000 (77.528)
Epoch: [32][3040/9018]	Time 0.629 (0.611)	Data 0.001 (0.002)	Loss 1.8999 (2.0671)	Prec@1 48.000 (47.000)	Prec@5 83.500 (77.527)
Epoch: [32][3050/9018]	Time 0.622 (0.611)	Data 0.001 (0.002)	Loss 2.0415 (2.0672)	Prec@1 47.000 (46.996)	Prec@5 78.000 (77.529)
Epoch: [32][3060/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 1.9682 (2.0673)	Prec@1 50.000 (47.000)	Prec@5 80.000 (77.529)
Epoch: [32][3070/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.0279 (2.0671)	Prec@1 49.500 (47.003)	Prec@5 76.500 (77.533)
Epoch: [32][3080/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0837 (2.0672)	Prec@1 47.000 (46.998)	Prec@5 80.000 (77.529)
Epoch: [32][3090/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.0267 (2.0670)	Prec@1 49.000 (47.001)	Prec@5 80.000 (77.531)
Epoch: [32][3100/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.1756 (2.0673)	Prec@1 41.500 (46.995)	Prec@5 76.500 (77.527)
Epoch: [32][3110/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0142 (2.0672)	Prec@1 44.500 (46.993)	Prec@5 77.500 (77.530)
Epoch: [32][3120/9018]	Time 0.605 (0.610)	Data 0.001 (0.002)	Loss 1.8828 (2.0672)	Prec@1 50.500 (46.996)	Prec@5 79.000 (77.530)
Epoch: [32][3130/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0949 (2.0673)	Prec@1 48.500 (46.992)	Prec@5 77.500 (77.531)
Epoch: [32][3140/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0092 (2.0673)	Prec@1 48.000 (46.990)	Prec@5 77.000 (77.528)
Epoch: [32][3150/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0623 (2.0675)	Prec@1 46.500 (46.985)	Prec@5 77.500 (77.526)
Epoch: [32][3160/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.2647 (2.0676)	Prec@1 43.500 (46.980)	Prec@5 73.000 (77.523)
Epoch: [32][3170/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0460 (2.0674)	Prec@1 46.500 (46.980)	Prec@5 79.000 (77.527)
Epoch: [32][3180/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.2477 (2.0676)	Prec@1 43.500 (46.980)	Prec@5 73.000 (77.524)
Epoch: [32][3190/9018]	Time 0.737 (0.611)	Data 0.001 (0.001)	Loss 2.1640 (2.0677)	Prec@1 46.000 (46.980)	Prec@5 78.500 (77.523)
Epoch: [32][3200/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.9131 (2.0677)	Prec@1 52.000 (46.976)	Prec@5 82.000 (77.524)
Epoch: [32][3210/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.0895 (2.0677)	Prec@1 47.500 (46.977)	Prec@5 77.500 (77.523)
Epoch: [32][3220/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1507 (2.0679)	Prec@1 47.500 (46.972)	Prec@5 74.000 (77.519)
Epoch: [32][3230/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.8232 (2.0679)	Prec@1 55.500 (46.970)	Prec@5 80.500 (77.517)
Epoch: [32][3240/9018]	Time 0.716 (0.611)	Data 0.001 (0.001)	Loss 2.0893 (2.0681)	Prec@1 45.000 (46.967)	Prec@5 77.000 (77.512)
Epoch: [32][3250/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 2.0740 (2.0682)	Prec@1 45.000 (46.962)	Prec@5 80.000 (77.510)
Epoch: [32][3260/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0888 (2.0681)	Prec@1 49.000 (46.962)	Prec@5 78.500 (77.511)
Epoch: [32][3270/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 1.9531 (2.0681)	Prec@1 50.500 (46.966)	Prec@5 78.000 (77.510)
Epoch: [32][3280/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0647 (2.0681)	Prec@1 52.000 (46.971)	Prec@5 77.000 (77.507)
Epoch: [32][3290/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.0656 (2.0680)	Prec@1 45.500 (46.971)	Prec@5 79.000 (77.508)
Epoch: [32][3300/9018]	Time 0.624 (0.611)	Data 0.001 (0.001)	Loss 2.1479 (2.0681)	Prec@1 47.000 (46.967)	Prec@5 77.000 (77.505)
Epoch: [32][3310/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0537 (2.0682)	Prec@1 46.000 (46.965)	Prec@5 74.000 (77.501)
Epoch: [32][3320/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.9411 (2.0682)	Prec@1 51.000 (46.966)	Prec@5 79.000 (77.503)
Epoch: [32][3330/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.4553 (2.0681)	Prec@1 35.000 (46.970)	Prec@5 71.500 (77.502)
Epoch: [32][3340/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1154 (2.0681)	Prec@1 43.500 (46.968)	Prec@5 76.000 (77.502)
Epoch: [32][3350/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 1.9447 (2.0683)	Prec@1 49.500 (46.966)	Prec@5 79.000 (77.498)
Epoch: [32][3360/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.1804 (2.0683)	Prec@1 47.500 (46.966)	Prec@5 74.000 (77.497)
Epoch: [32][3370/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0907 (2.0681)	Prec@1 48.000 (46.969)	Prec@5 77.000 (77.501)
Epoch: [32][3380/9018]	Time 0.590 (0.611)	Data 0.001 (0.001)	Loss 1.9854 (2.0680)	Prec@1 51.500 (46.972)	Prec@5 76.500 (77.504)
Epoch: [32][3390/9018]	Time 0.619 (0.611)	Data 0.001 (0.001)	Loss 2.1586 (2.0682)	Prec@1 43.500 (46.964)	Prec@5 75.000 (77.501)
Epoch: [32][3400/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.9103 (2.0681)	Prec@1 51.500 (46.968)	Prec@5 79.000 (77.503)
Epoch: [32][3410/9018]	Time 0.624 (0.611)	Data 0.001 (0.001)	Loss 1.9649 (2.0683)	Prec@1 50.000 (46.966)	Prec@5 80.500 (77.503)
Epoch: [32][3420/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 1.9717 (2.0684)	Prec@1 44.500 (46.961)	Prec@5 80.000 (77.501)
Epoch: [32][3430/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9937 (2.0685)	Prec@1 51.500 (46.959)	Prec@5 80.000 (77.500)
Epoch: [32][3440/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.0158 (2.0686)	Prec@1 44.000 (46.955)	Prec@5 75.000 (77.499)
Epoch: [32][3450/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.1813 (2.0687)	Prec@1 48.500 (46.954)	Prec@5 75.500 (77.499)
Epoch: [32][3460/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.9906 (2.0684)	Prec@1 50.000 (46.958)	Prec@5 79.500 (77.504)
Epoch: [32][3470/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.2448 (2.0685)	Prec@1 41.500 (46.950)	Prec@5 73.500 (77.502)
Epoch: [32][3480/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.0593 (2.0685)	Prec@1 49.500 (46.952)	Prec@5 77.000 (77.504)
Epoch: [32][3490/9018]	Time 0.616 (0.611)	Data 0.001 (0.001)	Loss 2.0474 (2.0685)	Prec@1 48.500 (46.947)	Prec@5 77.500 (77.503)
Epoch: [32][3500/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0965 (2.0686)	Prec@1 43.000 (46.944)	Prec@5 73.500 (77.498)
Epoch: [32][3510/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.2305 (2.0687)	Prec@1 41.500 (46.938)	Prec@5 74.000 (77.495)
Epoch: [32][3520/9018]	Time 0.784 (0.611)	Data 0.001 (0.001)	Loss 1.9244 (2.0686)	Prec@1 48.000 (46.941)	Prec@5 80.500 (77.495)
Epoch: [32][3530/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1771 (2.0687)	Prec@1 40.500 (46.938)	Prec@5 75.000 (77.493)
Epoch: [32][3540/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0136 (2.0687)	Prec@1 49.500 (46.940)	Prec@5 77.500 (77.492)
Epoch: [32][3550/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.9877 (2.0686)	Prec@1 49.000 (46.943)	Prec@5 77.500 (77.492)
Epoch: [32][3560/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 2.2366 (2.0688)	Prec@1 41.500 (46.940)	Prec@5 73.500 (77.488)
Epoch: [32][3570/9018]	Time 0.717 (0.611)	Data 0.001 (0.001)	Loss 2.0963 (2.0687)	Prec@1 46.500 (46.942)	Prec@5 79.500 (77.490)
Epoch: [32][3580/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.8680 (2.0687)	Prec@1 50.500 (46.942)	Prec@5 79.500 (77.492)
Epoch: [32][3590/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.1652 (2.0689)	Prec@1 44.500 (46.935)	Prec@5 79.000 (77.493)
Epoch: [32][3600/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.3110 (2.0690)	Prec@1 43.000 (46.933)	Prec@5 71.500 (77.491)
Epoch: [32][3610/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.9481 (2.0689)	Prec@1 52.000 (46.936)	Prec@5 80.500 (77.489)
Epoch: [32][3620/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1137 (2.0689)	Prec@1 41.000 (46.933)	Prec@5 77.000 (77.492)
Epoch: [32][3630/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.1068 (2.0688)	Prec@1 48.000 (46.935)	Prec@5 79.000 (77.495)
Epoch: [32][3640/9018]	Time 0.631 (0.611)	Data 0.001 (0.001)	Loss 2.2453 (2.0687)	Prec@1 37.000 (46.933)	Prec@5 73.500 (77.495)
Epoch: [32][3650/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.1361 (2.0688)	Prec@1 47.000 (46.935)	Prec@5 74.500 (77.495)
Epoch: [32][3660/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.9352 (2.0688)	Prec@1 50.000 (46.933)	Prec@5 79.500 (77.493)
Epoch: [32][3670/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.0199 (2.0687)	Prec@1 48.500 (46.938)	Prec@5 80.500 (77.494)
Epoch: [32][3680/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9769 (2.0685)	Prec@1 51.500 (46.942)	Prec@5 77.000 (77.499)
Epoch: [32][3690/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0312 (2.0685)	Prec@1 50.500 (46.940)	Prec@5 76.500 (77.500)
Epoch: [32][3700/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.8514 (2.0684)	Prec@1 53.500 (46.942)	Prec@5 80.500 (77.500)
Epoch: [32][3710/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.5199 (2.0685)	Prec@1 40.000 (46.941)	Prec@5 69.500 (77.497)
Epoch: [32][3720/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1861 (2.0686)	Prec@1 46.500 (46.940)	Prec@5 76.500 (77.495)
Epoch: [32][3730/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9547 (2.0686)	Prec@1 49.000 (46.939)	Prec@5 78.000 (77.495)
Epoch: [32][3740/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.8712 (2.0683)	Prec@1 53.500 (46.943)	Prec@5 80.000 (77.499)
Epoch: [32][3750/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.0513 (2.0683)	Prec@1 46.000 (46.942)	Prec@5 77.000 (77.500)
Epoch: [32][3760/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.9504 (2.0682)	Prec@1 49.000 (46.942)	Prec@5 80.000 (77.500)
Epoch: [32][3770/9018]	Time 0.617 (0.611)	Data 0.001 (0.001)	Loss 2.0910 (2.0683)	Prec@1 46.500 (46.941)	Prec@5 78.500 (77.499)
Epoch: [32][3780/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 1.9977 (2.0683)	Prec@1 47.000 (46.939)	Prec@5 79.000 (77.496)
Epoch: [32][3790/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0305 (2.0682)	Prec@1 50.500 (46.940)	Prec@5 79.500 (77.499)
Epoch: [32][3800/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.1946 (2.0684)	Prec@1 45.500 (46.936)	Prec@5 75.000 (77.494)
Epoch: [32][3810/9018]	Time 0.623 (0.610)	Data 0.001 (0.001)	Loss 2.0350 (2.0683)	Prec@1 50.500 (46.939)	Prec@5 75.500 (77.493)
Epoch: [32][3820/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 2.1075 (2.0684)	Prec@1 49.000 (46.940)	Prec@5 74.500 (77.488)
Epoch: [32][3830/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.2510 (2.0685)	Prec@1 38.000 (46.935)	Prec@5 75.500 (77.487)
Epoch: [32][3840/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0900 (2.0685)	Prec@1 44.500 (46.936)	Prec@5 75.500 (77.489)
Epoch: [32][3850/9018]	Time 0.755 (0.610)	Data 0.001 (0.001)	Loss 2.2832 (2.0687)	Prec@1 39.000 (46.932)	Prec@5 72.500 (77.486)
Epoch: [32][3860/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 1.9565 (2.0687)	Prec@1 48.500 (46.931)	Prec@5 80.000 (77.485)
Epoch: [32][3870/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1825 (2.0686)	Prec@1 47.500 (46.934)	Prec@5 73.000 (77.487)
Epoch: [32][3880/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1221 (2.0685)	Prec@1 47.000 (46.936)	Prec@5 76.500 (77.487)
Epoch: [32][3890/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9954 (2.0687)	Prec@1 47.500 (46.935)	Prec@5 80.000 (77.485)
Epoch: [32][3900/9018]	Time 0.720 (0.610)	Data 0.001 (0.001)	Loss 1.8598 (2.0685)	Prec@1 52.500 (46.938)	Prec@5 82.000 (77.486)
Epoch: [32][3910/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1520 (2.0685)	Prec@1 42.500 (46.939)	Prec@5 76.000 (77.485)
Epoch: [32][3920/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 2.0221 (2.0684)	Prec@1 49.500 (46.941)	Prec@5 77.000 (77.485)
Epoch: [32][3930/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0872 (2.0684)	Prec@1 45.500 (46.941)	Prec@5 78.000 (77.488)
Epoch: [32][3940/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9787 (2.0682)	Prec@1 49.500 (46.945)	Prec@5 81.000 (77.495)
Epoch: [32][3950/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0354 (2.0681)	Prec@1 49.500 (46.948)	Prec@5 74.500 (77.495)
Epoch: [32][3960/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.1510 (2.0682)	Prec@1 47.500 (46.948)	Prec@5 74.500 (77.495)
Epoch: [32][3970/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0937 (2.0682)	Prec@1 43.500 (46.949)	Prec@5 78.000 (77.495)
Epoch: [32][3980/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0299 (2.0684)	Prec@1 50.000 (46.942)	Prec@5 75.000 (77.493)
Epoch: [32][3990/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0799 (2.0682)	Prec@1 45.500 (46.950)	Prec@5 81.000 (77.497)
Epoch: [32][4000/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.1254 (2.0682)	Prec@1 41.500 (46.947)	Prec@5 77.000 (77.495)
Epoch: [32][4010/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0296 (2.0682)	Prec@1 53.000 (46.947)	Prec@5 80.000 (77.497)
Epoch: [32][4020/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.9832 (2.0682)	Prec@1 49.500 (46.946)	Prec@5 80.000 (77.496)
Epoch: [32][4030/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9509 (2.0681)	Prec@1 49.500 (46.948)	Prec@5 80.000 (77.498)
Epoch: [32][4040/9018]	Time 0.622 (0.610)	Data 0.001 (0.001)	Loss 2.1005 (2.0679)	Prec@1 43.000 (46.948)	Prec@5 81.000 (77.502)
Epoch: [32][4050/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0095 (2.0680)	Prec@1 48.500 (46.946)	Prec@5 77.500 (77.500)
Epoch: [32][4060/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.2115 (2.0678)	Prec@1 44.000 (46.949)	Prec@5 75.500 (77.501)
Epoch: [32][4070/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0723 (2.0679)	Prec@1 43.000 (46.944)	Prec@5 76.500 (77.501)
Epoch: [32][4080/9018]	Time 0.625 (0.610)	Data 0.001 (0.001)	Loss 1.9557 (2.0680)	Prec@1 50.500 (46.942)	Prec@5 78.500 (77.500)
Epoch: [32][4090/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.0720 (2.0680)	Prec@1 49.500 (46.943)	Prec@5 73.500 (77.497)
Epoch: [32][4100/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 2.2774 (2.0680)	Prec@1 39.000 (46.940)	Prec@5 75.000 (77.498)
Epoch: [32][4110/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.1603 (2.0682)	Prec@1 47.500 (46.937)	Prec@5 75.500 (77.496)
Epoch: [32][4120/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0540 (2.0681)	Prec@1 49.500 (46.940)	Prec@5 78.000 (77.500)
Epoch: [32][4130/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1036 (2.0680)	Prec@1 48.500 (46.941)	Prec@5 77.500 (77.500)
Epoch: [32][4140/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.2030 (2.0680)	Prec@1 46.000 (46.945)	Prec@5 76.000 (77.502)
Epoch: [32][4150/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0033 (2.0679)	Prec@1 48.500 (46.946)	Prec@5 77.500 (77.506)
Epoch: [32][4160/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9728 (2.0679)	Prec@1 47.500 (46.947)	Prec@5 81.500 (77.505)
Epoch: [32][4170/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.2683 (2.0682)	Prec@1 42.500 (46.944)	Prec@5 74.500 (77.502)
Epoch: [32][4180/9018]	Time 0.720 (0.610)	Data 0.001 (0.001)	Loss 2.1540 (2.0681)	Prec@1 47.500 (46.945)	Prec@5 74.500 (77.503)
Epoch: [32][4190/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.8760 (2.0682)	Prec@1 49.000 (46.943)	Prec@5 81.000 (77.502)
Epoch: [32][4200/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0946 (2.0682)	Prec@1 47.000 (46.941)	Prec@5 77.500 (77.500)
Epoch: [32][4210/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9790 (2.0682)	Prec@1 53.000 (46.941)	Prec@5 78.500 (77.499)
Epoch: [32][4220/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9696 (2.0681)	Prec@1 49.000 (46.942)	Prec@5 81.500 (77.500)
Epoch: [32][4230/9018]	Time 0.741 (0.610)	Data 0.001 (0.001)	Loss 2.0676 (2.0681)	Prec@1 43.000 (46.944)	Prec@5 75.000 (77.498)
Epoch: [32][4240/9018]	Time 0.590 (0.610)	Data 0.001 (0.001)	Loss 2.1505 (2.0682)	Prec@1 44.500 (46.941)	Prec@5 79.500 (77.496)
Epoch: [32][4250/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.2267 (2.0682)	Prec@1 43.500 (46.943)	Prec@5 74.500 (77.495)
Epoch: [32][4260/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0064 (2.0683)	Prec@1 49.000 (46.944)	Prec@5 80.000 (77.494)
Epoch: [32][4270/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.7402 (2.0680)	Prec@1 57.500 (46.952)	Prec@5 83.500 (77.497)
Epoch: [32][4280/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.8336 (2.0678)	Prec@1 56.500 (46.954)	Prec@5 81.500 (77.500)
Epoch: [32][4290/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9749 (2.0679)	Prec@1 47.500 (46.950)	Prec@5 82.000 (77.498)
Epoch: [32][4300/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 2.1456 (2.0680)	Prec@1 45.000 (46.949)	Prec@5 75.500 (77.498)
Epoch: [32][4310/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0935 (2.0680)	Prec@1 46.500 (46.946)	Prec@5 78.000 (77.496)
Epoch: [32][4320/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0944 (2.0680)	Prec@1 47.000 (46.944)	Prec@5 78.000 (77.498)
Epoch: [32][4330/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0403 (2.0680)	Prec@1 47.500 (46.943)	Prec@5 76.000 (77.496)
Epoch: [32][4340/9018]	Time 0.625 (0.610)	Data 0.001 (0.001)	Loss 2.0721 (2.0679)	Prec@1 49.000 (46.946)	Prec@5 73.500 (77.497)
Epoch: [32][4350/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.0980 (2.0679)	Prec@1 46.000 (46.944)	Prec@5 78.500 (77.498)
Epoch: [32][4360/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.2931 (2.0678)	Prec@1 43.500 (46.947)	Prec@5 71.000 (77.497)
Epoch: [32][4370/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.3206 (2.0679)	Prec@1 44.500 (46.944)	Prec@5 75.000 (77.494)
Epoch: [32][4380/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 2.0620 (2.0678)	Prec@1 46.500 (46.943)	Prec@5 77.000 (77.496)
Epoch: [32][4390/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1593 (2.0679)	Prec@1 43.000 (46.940)	Prec@5 78.500 (77.494)
Epoch: [32][4400/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0854 (2.0681)	Prec@1 45.000 (46.935)	Prec@5 75.000 (77.489)
Epoch: [32][4410/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.2006 (2.0682)	Prec@1 44.000 (46.933)	Prec@5 73.500 (77.487)
Epoch: [32][4420/9018]	Time 0.632 (0.610)	Data 0.001 (0.001)	Loss 1.8443 (2.0680)	Prec@1 48.500 (46.936)	Prec@5 84.000 (77.489)
Epoch: [32][4430/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9128 (2.0680)	Prec@1 43.000 (46.935)	Prec@5 84.000 (77.491)
Epoch: [32][4440/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.3974 (2.0682)	Prec@1 41.500 (46.932)	Prec@5 73.500 (77.487)
Epoch: [32][4450/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0558 (2.0681)	Prec@1 49.500 (46.932)	Prec@5 75.000 (77.486)
Epoch: [32][4460/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9022 (2.0682)	Prec@1 50.000 (46.932)	Prec@5 81.000 (77.483)
Epoch: [32][4470/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9934 (2.0681)	Prec@1 50.000 (46.937)	Prec@5 78.500 (77.485)
Epoch: [32][4480/9018]	Time 0.617 (0.610)	Data 0.001 (0.001)	Loss 2.0419 (2.0681)	Prec@1 48.500 (46.937)	Prec@5 77.000 (77.486)
Epoch: [32][4490/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.2737 (2.0682)	Prec@1 42.000 (46.935)	Prec@5 78.000 (77.484)
Epoch: [32][4500/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1048 (2.0682)	Prec@1 42.500 (46.937)	Prec@5 76.500 (77.485)
Epoch: [32][4510/9018]	Time 0.718 (0.610)	Data 0.001 (0.001)	Loss 2.1281 (2.0684)	Prec@1 48.500 (46.931)	Prec@5 76.500 (77.481)
Epoch: [32][4520/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.7454 (2.0684)	Prec@1 55.500 (46.932)	Prec@5 84.500 (77.481)
Epoch: [32][4530/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.8435 (2.0682)	Prec@1 60.500 (46.934)	Prec@5 81.500 (77.483)
Epoch: [32][4540/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0689 (2.0682)	Prec@1 53.500 (46.937)	Prec@5 76.500 (77.483)
Epoch: [32][4550/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.8860 (2.0681)	Prec@1 48.500 (46.937)	Prec@5 81.000 (77.485)
Epoch: [32][4560/9018]	Time 0.746 (0.610)	Data 0.001 (0.001)	Loss 2.0412 (2.0682)	Prec@1 47.000 (46.937)	Prec@5 81.000 (77.484)
Epoch: [32][4570/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1543 (2.0682)	Prec@1 46.000 (46.937)	Prec@5 76.000 (77.483)
Epoch: [32][4580/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.3101 (2.0684)	Prec@1 48.500 (46.935)	Prec@5 74.000 (77.481)
Epoch: [32][4590/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1131 (2.0684)	Prec@1 43.500 (46.934)	Prec@5 80.000 (77.480)
Epoch: [32][4600/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9722 (2.0686)	Prec@1 51.000 (46.932)	Prec@5 80.500 (77.479)
Epoch: [32][4610/9018]	Time 0.624 (0.610)	Data 0.001 (0.001)	Loss 1.9364 (2.0685)	Prec@1 50.000 (46.935)	Prec@5 79.000 (77.478)
Epoch: [32][4620/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0723 (2.0685)	Prec@1 46.500 (46.938)	Prec@5 76.000 (77.475)
Epoch: [32][4630/9018]	Time 0.611 (0.610)	Data 0.001 (0.001)	Loss 2.0309 (2.0683)	Prec@1 48.500 (46.941)	Prec@5 78.500 (77.476)
Epoch: [32][4640/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.9775 (2.0683)	Prec@1 48.000 (46.942)	Prec@5 78.000 (77.476)
Epoch: [32][4650/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.0442 (2.0682)	Prec@1 47.000 (46.947)	Prec@5 79.000 (77.477)
Epoch: [32][4660/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1319 (2.0681)	Prec@1 44.500 (46.950)	Prec@5 77.500 (77.479)
Epoch: [32][4670/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0566 (2.0679)	Prec@1 45.500 (46.951)	Prec@5 77.500 (77.480)
Epoch: [32][4680/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0956 (2.0680)	Prec@1 46.500 (46.948)	Prec@5 77.000 (77.482)
Epoch: [32][4690/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 1.8971 (2.0678)	Prec@1 50.500 (46.952)	Prec@5 81.500 (77.485)
Epoch: [32][4700/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1557 (2.0677)	Prec@1 48.500 (46.955)	Prec@5 74.000 (77.486)
Epoch: [32][4710/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0548 (2.0677)	Prec@1 48.000 (46.955)	Prec@5 76.500 (77.487)
Epoch: [32][4720/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0117 (2.0677)	Prec@1 52.000 (46.955)	Prec@5 80.000 (77.485)
Epoch: [32][4730/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1144 (2.0678)	Prec@1 44.000 (46.951)	Prec@5 73.500 (77.482)
Epoch: [32][4740/9018]	Time 0.624 (0.610)	Data 0.001 (0.001)	Loss 1.9908 (2.0677)	Prec@1 43.000 (46.951)	Prec@5 76.500 (77.482)
Epoch: [32][4750/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.9308 (2.0676)	Prec@1 46.500 (46.951)	Prec@5 83.500 (77.485)
Epoch: [32][4760/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.1426 (2.0674)	Prec@1 48.500 (46.954)	Prec@5 74.500 (77.489)
Epoch: [32][4770/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0032 (2.0674)	Prec@1 49.000 (46.954)	Prec@5 77.000 (77.489)
Epoch: [32][4780/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9536 (2.0675)	Prec@1 52.000 (46.953)	Prec@5 78.000 (77.486)
Epoch: [32][4790/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.9161 (2.0675)	Prec@1 53.500 (46.951)	Prec@5 79.500 (77.484)
Epoch: [32][4800/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.2613 (2.0677)	Prec@1 44.500 (46.948)	Prec@5 74.000 (77.482)
Epoch: [32][4810/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1367 (2.0677)	Prec@1 46.000 (46.946)	Prec@5 77.000 (77.480)
Epoch: [32][4820/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.8926 (2.0677)	Prec@1 53.500 (46.945)	Prec@5 82.500 (77.481)
Epoch: [32][4830/9018]	Time 0.633 (0.610)	Data 0.001 (0.001)	Loss 1.9186 (2.0677)	Prec@1 50.500 (46.942)	Prec@5 81.500 (77.481)
Epoch: [32][4840/9018]	Time 0.745 (0.610)	Data 0.001 (0.001)	Loss 2.0984 (2.0677)	Prec@1 45.500 (46.942)	Prec@5 76.500 (77.482)
Epoch: [32][4850/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.2410 (2.0678)	Prec@1 42.500 (46.941)	Prec@5 72.500 (77.481)
Epoch: [32][4860/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9726 (2.0677)	Prec@1 48.500 (46.941)	Prec@5 79.000 (77.482)
Epoch: [32][4870/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0197 (2.0677)	Prec@1 49.500 (46.942)	Prec@5 80.500 (77.483)
Epoch: [32][4880/9018]	Time 0.621 (0.610)	Data 0.001 (0.001)	Loss 1.9462 (2.0675)	Prec@1 48.500 (46.944)	Prec@5 77.500 (77.487)
Epoch: [32][4890/9018]	Time 0.725 (0.610)	Data 0.001 (0.001)	Loss 1.9865 (2.0675)	Prec@1 50.500 (46.946)	Prec@5 76.500 (77.488)
Epoch: [32][4900/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0246 (2.0673)	Prec@1 43.000 (46.948)	Prec@5 77.000 (77.490)
Epoch: [32][4910/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.8912 (2.0674)	Prec@1 50.000 (46.948)	Prec@5 80.500 (77.488)
Epoch: [32][4920/9018]	Time 0.622 (0.610)	Data 0.001 (0.001)	Loss 1.9689 (2.0674)	Prec@1 48.000 (46.947)	Prec@5 78.000 (77.485)
Epoch: [32][4930/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0917 (2.0673)	Prec@1 48.000 (46.948)	Prec@5 78.000 (77.488)
Epoch: [32][4940/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0779 (2.0672)	Prec@1 50.500 (46.949)	Prec@5 78.000 (77.489)
Epoch: [32][4950/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1925 (2.0673)	Prec@1 43.500 (46.947)	Prec@5 73.000 (77.485)
Epoch: [32][4960/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1781 (2.0673)	Prec@1 44.000 (46.948)	Prec@5 75.500 (77.485)
Epoch: [32][4970/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.0813 (2.0672)	Prec@1 47.000 (46.950)	Prec@5 73.500 (77.485)
Epoch: [32][4980/9018]	Time 0.632 (0.610)	Data 0.001 (0.001)	Loss 2.0257 (2.0672)	Prec@1 47.500 (46.949)	Prec@5 80.000 (77.486)
Epoch: [32][4990/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.1278 (2.0672)	Prec@1 43.500 (46.948)	Prec@5 74.500 (77.485)
Epoch: [32][5000/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0189 (2.0673)	Prec@1 49.500 (46.948)	Prec@5 79.500 (77.484)
Epoch: [32][5010/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0949 (2.0674)	Prec@1 46.500 (46.946)	Prec@5 79.500 (77.482)
Epoch: [32][5020/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9201 (2.0674)	Prec@1 46.000 (46.944)	Prec@5 83.000 (77.484)
Epoch: [32][5030/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1851 (2.0674)	Prec@1 45.000 (46.944)	Prec@5 77.500 (77.483)
Epoch: [32][5040/9018]	Time 0.609 (0.610)	Data 0.001 (0.001)	Loss 2.2425 (2.0675)	Prec@1 42.500 (46.939)	Prec@5 75.000 (77.480)
Epoch: [32][5050/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0010 (2.0675)	Prec@1 48.500 (46.939)	Prec@5 79.500 (77.480)
Epoch: [32][5060/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0390 (2.0675)	Prec@1 48.500 (46.940)	Prec@5 78.000 (77.481)
Epoch: [32][5070/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.1828 (2.0675)	Prec@1 45.500 (46.939)	Prec@5 76.000 (77.482)
Epoch: [32][5080/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.2247 (2.0675)	Prec@1 37.000 (46.940)	Prec@5 76.500 (77.480)
Epoch: [32][5090/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.2317 (2.0676)	Prec@1 42.000 (46.938)	Prec@5 74.500 (77.481)
Epoch: [32][5100/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.0255 (2.0674)	Prec@1 47.500 (46.943)	Prec@5 78.500 (77.482)
Epoch: [32][5110/9018]	Time 0.627 (0.610)	Data 0.001 (0.001)	Loss 1.8315 (2.0672)	Prec@1 51.000 (46.946)	Prec@5 81.500 (77.487)
Epoch: [32][5120/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0050 (2.0673)	Prec@1 44.500 (46.943)	Prec@5 77.000 (77.486)
Epoch: [32][5130/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.1639 (2.0674)	Prec@1 47.000 (46.941)	Prec@5 76.500 (77.487)
Epoch: [32][5140/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 1.9420 (2.0674)	Prec@1 52.000 (46.943)	Prec@5 80.500 (77.486)
Epoch: [32][5150/9018]	Time 0.609 (0.610)	Data 0.001 (0.001)	Loss 2.0745 (2.0674)	Prec@1 44.000 (46.940)	Prec@5 77.000 (77.485)
Epoch: [32][5160/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0024 (2.0675)	Prec@1 48.000 (46.939)	Prec@5 78.500 (77.486)
Epoch: [32][5170/9018]	Time 0.699 (0.610)	Data 0.001 (0.001)	Loss 2.2213 (2.0675)	Prec@1 45.500 (46.940)	Prec@5 75.000 (77.486)
Epoch: [32][5180/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0942 (2.0675)	Prec@1 45.500 (46.942)	Prec@5 75.500 (77.486)
Epoch: [32][5190/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1345 (2.0675)	Prec@1 48.500 (46.941)	Prec@5 77.500 (77.485)
Epoch: [32][5200/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.1770 (2.0675)	Prec@1 42.500 (46.941)	Prec@5 75.500 (77.482)
Epoch: [32][5210/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.3362 (2.0675)	Prec@1 47.500 (46.943)	Prec@5 72.000 (77.483)
Epoch: [32][5220/9018]	Time 0.722 (0.610)	Data 0.001 (0.001)	Loss 1.9778 (2.0675)	Prec@1 48.000 (46.945)	Prec@5 81.500 (77.480)
Epoch: [32][5230/9018]	Time 0.632 (0.610)	Data 0.001 (0.001)	Loss 2.0410 (2.0675)	Prec@1 47.000 (46.945)	Prec@5 78.000 (77.481)
Epoch: [32][5240/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.2613 (2.0676)	Prec@1 46.000 (46.943)	Prec@5 72.500 (77.479)
Epoch: [32][5250/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0918 (2.0677)	Prec@1 42.500 (46.940)	Prec@5 78.000 (77.476)
Epoch: [32][5260/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0006 (2.0676)	Prec@1 48.500 (46.940)	Prec@5 75.500 (77.476)
Epoch: [32][5270/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9592 (2.0676)	Prec@1 48.000 (46.940)	Prec@5 81.000 (77.475)
Epoch: [32][5280/9018]	Time 0.624 (0.610)	Data 0.001 (0.001)	Loss 2.2445 (2.0678)	Prec@1 48.500 (46.938)	Prec@5 74.000 (77.473)
Epoch: [32][5290/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.9967 (2.0678)	Prec@1 50.500 (46.940)	Prec@5 77.000 (77.473)
Epoch: [32][5300/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9743 (2.0677)	Prec@1 47.000 (46.942)	Prec@5 80.500 (77.474)
Epoch: [32][5310/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0528 (2.0678)	Prec@1 49.500 (46.938)	Prec@5 76.000 (77.471)
Epoch: [32][5320/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0704 (2.0678)	Prec@1 48.500 (46.938)	Prec@5 76.000 (77.469)
Epoch: [32][5330/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.4100 (2.0679)	Prec@1 45.500 (46.938)	Prec@5 72.000 (77.470)
Epoch: [32][5340/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.8078 (2.0678)	Prec@1 50.000 (46.940)	Prec@5 83.000 (77.471)
Epoch: [32][5350/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.1848 (2.0678)	Prec@1 45.500 (46.938)	Prec@5 74.000 (77.470)
Epoch: [32][5360/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.1433 (2.0679)	Prec@1 48.500 (46.936)	Prec@5 75.500 (77.467)
Epoch: [32][5370/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9441 (2.0679)	Prec@1 51.000 (46.938)	Prec@5 79.500 (77.468)
Epoch: [32][5380/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1335 (2.0679)	Prec@1 49.500 (46.938)	Prec@5 76.500 (77.468)
Epoch: [32][5390/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.9307 (2.0678)	Prec@1 48.500 (46.941)	Prec@5 81.500 (77.469)
Epoch: [32][5400/9018]	Time 0.614 (0.610)	Data 0.001 (0.001)	Loss 2.0457 (2.0679)	Prec@1 44.500 (46.939)	Prec@5 76.000 (77.468)
Epoch: [32][5410/9018]	Time 0.625 (0.610)	Data 0.001 (0.001)	Loss 2.0829 (2.0679)	Prec@1 44.500 (46.937)	Prec@5 74.000 (77.467)
Epoch: [32][5420/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1008 (2.0679)	Prec@1 48.000 (46.938)	Prec@5 75.500 (77.468)
Epoch: [32][5430/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1674 (2.0681)	Prec@1 50.500 (46.933)	Prec@5 73.000 (77.463)
Epoch: [32][5440/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0996 (2.0682)	Prec@1 44.500 (46.931)	Prec@5 76.000 (77.460)
Epoch: [32][5450/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.9791 (2.0681)	Prec@1 48.500 (46.933)	Prec@5 77.500 (77.460)
Epoch: [32][5460/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 1.9914 (2.0680)	Prec@1 50.000 (46.939)	Prec@5 80.000 (77.462)
Epoch: [32][5470/9018]	Time 0.626 (0.610)	Data 0.001 (0.001)	Loss 2.0249 (2.0680)	Prec@1 46.000 (46.936)	Prec@5 76.000 (77.464)
Epoch: [32][5480/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 1.9644 (2.0680)	Prec@1 51.000 (46.940)	Prec@5 81.500 (77.465)
Epoch: [32][5490/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.2177 (2.0681)	Prec@1 41.500 (46.937)	Prec@5 73.500 (77.463)
Epoch: [32][5500/9018]	Time 0.740 (0.610)	Data 0.001 (0.001)	Loss 2.1179 (2.0681)	Prec@1 44.500 (46.937)	Prec@5 77.500 (77.463)
Epoch: [32][5510/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9594 (2.0681)	Prec@1 50.000 (46.935)	Prec@5 79.500 (77.464)
Epoch: [32][5520/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.8782 (2.0681)	Prec@1 50.500 (46.936)	Prec@5 79.000 (77.464)
Epoch: [32][5530/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0802 (2.0680)	Prec@1 43.500 (46.937)	Prec@5 76.000 (77.466)
Epoch: [32][5540/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.8250 (2.0680)	Prec@1 51.500 (46.939)	Prec@5 82.500 (77.465)
Epoch: [32][5550/9018]	Time 0.720 (0.610)	Data 0.001 (0.001)	Loss 1.9974 (2.0679)	Prec@1 49.500 (46.941)	Prec@5 77.000 (77.467)
Epoch: [32][5560/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0747 (2.0678)	Prec@1 46.500 (46.942)	Prec@5 74.500 (77.467)
Epoch: [32][5570/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.8694 (2.0677)	Prec@1 46.000 (46.942)	Prec@5 80.500 (77.469)
Epoch: [32][5580/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0924 (2.0676)	Prec@1 44.500 (46.944)	Prec@5 78.000 (77.470)
Epoch: [32][5590/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.0568 (2.0677)	Prec@1 45.500 (46.945)	Prec@5 77.500 (77.468)
Epoch: [32][5600/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.2928 (2.0677)	Prec@1 39.500 (46.944)	Prec@5 72.000 (77.467)
Epoch: [32][5610/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1799 (2.0678)	Prec@1 41.000 (46.944)	Prec@5 73.000 (77.468)
Epoch: [32][5620/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9884 (2.0678)	Prec@1 48.500 (46.945)	Prec@5 77.000 (77.467)
Epoch: [32][5630/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0385 (2.0678)	Prec@1 44.500 (46.945)	Prec@5 76.000 (77.467)
Epoch: [32][5640/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0464 (2.0678)	Prec@1 44.500 (46.943)	Prec@5 78.500 (77.466)
Epoch: [32][5650/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0155 (2.0677)	Prec@1 50.000 (46.943)	Prec@5 75.500 (77.464)
Epoch: [32][5660/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0988 (2.0679)	Prec@1 46.500 (46.940)	Prec@5 78.000 (77.462)
Epoch: [32][5670/9018]	Time 0.590 (0.610)	Data 0.001 (0.001)	Loss 2.4353 (2.0679)	Prec@1 40.000 (46.937)	Prec@5 71.500 (77.460)
Epoch: [32][5680/9018]	Time 0.630 (0.610)	Data 0.001 (0.001)	Loss 1.9319 (2.0679)	Prec@1 47.500 (46.936)	Prec@5 81.000 (77.461)
Epoch: [32][5690/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0342 (2.0680)	Prec@1 47.500 (46.934)	Prec@5 79.500 (77.460)
Epoch: [32][5700/9018]	Time 0.622 (0.610)	Data 0.001 (0.001)	Loss 2.0394 (2.0680)	Prec@1 53.000 (46.934)	Prec@5 77.500 (77.460)
Epoch: [32][5710/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0846 (2.0681)	Prec@1 48.500 (46.933)	Prec@5 77.000 (77.460)
Epoch: [32][5720/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0009 (2.0680)	Prec@1 46.500 (46.932)	Prec@5 78.000 (77.460)
Epoch: [32][5730/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.9101 (2.0680)	Prec@1 50.500 (46.934)	Prec@5 79.000 (77.460)
Epoch: [32][5740/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.2475 (2.0680)	Prec@1 44.500 (46.933)	Prec@5 72.500 (77.460)
Epoch: [32][5750/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0257 (2.0682)	Prec@1 49.000 (46.933)	Prec@5 77.500 (77.457)
Epoch: [32][5760/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0686 (2.0681)	Prec@1 47.500 (46.934)	Prec@5 75.500 (77.457)
Epoch: [32][5770/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.2511 (2.0682)	Prec@1 41.000 (46.932)	Prec@5 71.000 (77.454)
Epoch: [32][5780/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0970 (2.0682)	Prec@1 49.500 (46.933)	Prec@5 81.000 (77.452)
Epoch: [32][5790/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.2297 (2.0682)	Prec@1 42.500 (46.932)	Prec@5 76.000 (77.453)
Epoch: [32][5800/9018]	Time 0.624 (0.610)	Data 0.001 (0.001)	Loss 1.7977 (2.0682)	Prec@1 56.000 (46.935)	Prec@5 80.000 (77.454)
Epoch: [32][5810/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.8715 (2.0682)	Prec@1 50.500 (46.935)	Prec@5 80.500 (77.455)
Epoch: [32][5820/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.1124 (2.0681)	Prec@1 48.000 (46.937)	Prec@5 77.000 (77.456)
Epoch: [32][5830/9018]	Time 0.722 (0.610)	Data 0.001 (0.001)	Loss 2.1729 (2.0681)	Prec@1 48.000 (46.936)	Prec@5 75.000 (77.454)
Epoch: [32][5840/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0795 (2.0681)	Prec@1 39.500 (46.934)	Prec@5 80.500 (77.454)
Epoch: [32][5850/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1159 (2.0682)	Prec@1 42.500 (46.931)	Prec@5 77.000 (77.456)
Epoch: [32][5860/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1125 (2.0681)	Prec@1 44.000 (46.930)	Prec@5 78.000 (77.457)
Epoch: [32][5870/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.2760 (2.0683)	Prec@1 44.500 (46.927)	Prec@5 75.000 (77.455)
Epoch: [32][5880/9018]	Time 0.732 (0.610)	Data 0.001 (0.001)	Loss 2.2781 (2.0683)	Prec@1 44.000 (46.927)	Prec@5 69.500 (77.455)
Epoch: [32][5890/9018]	Time 0.626 (0.610)	Data 0.001 (0.001)	Loss 2.2664 (2.0684)	Prec@1 41.500 (46.924)	Prec@5 74.000 (77.455)
Epoch: [32][5900/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0856 (2.0684)	Prec@1 43.500 (46.925)	Prec@5 77.000 (77.453)
Epoch: [32][5910/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.8173 (2.0684)	Prec@1 48.000 (46.925)	Prec@5 85.500 (77.453)
Epoch: [32][5920/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1461 (2.0684)	Prec@1 44.500 (46.926)	Prec@5 73.000 (77.454)
Epoch: [32][5930/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9009 (2.0685)	Prec@1 47.000 (46.924)	Prec@5 80.000 (77.452)
Epoch: [32][5940/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.0694 (2.0684)	Prec@1 51.500 (46.927)	Prec@5 81.000 (77.455)
Epoch: [32][5950/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0440 (2.0684)	Prec@1 47.500 (46.925)	Prec@5 78.000 (77.455)
Epoch: [32][5960/9018]	Time 0.621 (0.610)	Data 0.001 (0.001)	Loss 2.1470 (2.0685)	Prec@1 45.500 (46.927)	Prec@5 75.000 (77.453)
Epoch: [32][5970/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.8521 (2.0686)	Prec@1 51.000 (46.924)	Prec@5 81.000 (77.451)
Epoch: [32][5980/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.1830 (2.0686)	Prec@1 41.500 (46.924)	Prec@5 73.000 (77.451)
Epoch: [32][5990/9018]	Time 0.621 (0.610)	Data 0.001 (0.001)	Loss 2.1995 (2.0686)	Prec@1 44.500 (46.924)	Prec@5 72.500 (77.451)
Epoch: [32][6000/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.2372 (2.0686)	Prec@1 43.000 (46.926)	Prec@5 75.500 (77.452)
Epoch: [32][6010/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9819 (2.0685)	Prec@1 49.000 (46.926)	Prec@5 79.000 (77.452)
Epoch: [32][6020/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0780 (2.0684)	Prec@1 45.000 (46.927)	Prec@5 79.000 (77.453)
Epoch: [32][6030/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0258 (2.0684)	Prec@1 45.500 (46.929)	Prec@5 75.000 (77.452)
Epoch: [32][6040/9018]	Time 0.602 (0.610)	Data 0.003 (0.001)	Loss 1.9984 (2.0685)	Prec@1 46.500 (46.928)	Prec@5 77.000 (77.452)
Epoch: [32][6050/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9827 (2.0685)	Prec@1 44.000 (46.926)	Prec@5 81.000 (77.452)
Epoch: [32][6060/9018]	Time 0.632 (0.610)	Data 0.001 (0.001)	Loss 2.2554 (2.0685)	Prec@1 41.500 (46.927)	Prec@5 73.000 (77.451)
Epoch: [32][6070/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9214 (2.0685)	Prec@1 51.000 (46.924)	Prec@5 83.000 (77.451)
Epoch: [32][6080/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9096 (2.0686)	Prec@1 48.000 (46.921)	Prec@5 79.500 (77.449)
Epoch: [32][6090/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9906 (2.0685)	Prec@1 52.000 (46.923)	Prec@5 79.000 (77.450)
Epoch: [32][6100/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 2.1733 (2.0686)	Prec@1 49.500 (46.921)	Prec@5 75.000 (77.449)
Epoch: [32][6110/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.7810 (2.0685)	Prec@1 51.500 (46.923)	Prec@5 83.000 (77.448)
Epoch: [32][6120/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.2353 (2.0686)	Prec@1 42.000 (46.920)	Prec@5 74.000 (77.444)
Epoch: [32][6130/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1983 (2.0687)	Prec@1 42.000 (46.919)	Prec@5 75.500 (77.444)
Epoch: [32][6140/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1924 (2.0686)	Prec@1 46.500 (46.921)	Prec@5 76.500 (77.446)
Epoch: [32][6150/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9810 (2.0687)	Prec@1 46.000 (46.920)	Prec@5 75.000 (77.443)
Epoch: [32][6160/9018]	Time 0.727 (0.610)	Data 0.001 (0.001)	Loss 2.2066 (2.0688)	Prec@1 42.000 (46.917)	Prec@5 75.500 (77.441)
Epoch: [32][6170/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.1731 (2.0688)	Prec@1 45.000 (46.917)	Prec@5 75.500 (77.441)
Epoch: [32][6180/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1028 (2.0689)	Prec@1 47.000 (46.916)	Prec@5 77.000 (77.442)
Epoch: [32][6190/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.0644 (2.0688)	Prec@1 45.000 (46.917)	Prec@5 78.000 (77.442)
Epoch: [32][6200/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0685 (2.0689)	Prec@1 48.500 (46.916)	Prec@5 75.000 (77.441)
Epoch: [32][6210/9018]	Time 0.744 (0.610)	Data 0.001 (0.001)	Loss 2.0809 (2.0689)	Prec@1 43.000 (46.915)	Prec@5 77.500 (77.440)
Epoch: [32][6220/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0932 (2.0689)	Prec@1 49.500 (46.915)	Prec@5 75.500 (77.439)
Epoch: [32][6230/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 1.9692 (2.0689)	Prec@1 51.500 (46.917)	Prec@5 78.500 (77.440)
Epoch: [32][6240/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.1291 (2.0689)	Prec@1 46.500 (46.915)	Prec@5 78.500 (77.440)
Epoch: [32][6250/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9702 (2.0690)	Prec@1 47.000 (46.914)	Prec@5 79.500 (77.440)
Epoch: [32][6260/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.8869 (2.0690)	Prec@1 49.500 (46.914)	Prec@5 83.000 (77.441)
Epoch: [32][6270/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 1.8481 (2.0690)	Prec@1 53.500 (46.913)	Prec@5 83.000 (77.442)
Epoch: [32][6280/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1494 (2.0690)	Prec@1 46.500 (46.913)	Prec@5 79.500 (77.441)
Epoch: [32][6290/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0292 (2.0690)	Prec@1 48.500 (46.910)	Prec@5 75.500 (77.441)
Epoch: [32][6300/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9619 (2.0690)	Prec@1 45.000 (46.910)	Prec@5 79.500 (77.441)
Epoch: [32][6310/9018]	Time 0.625 (0.610)	Data 0.001 (0.001)	Loss 2.0922 (2.0691)	Prec@1 49.500 (46.910)	Prec@5 77.000 (77.441)
Epoch: [32][6320/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0484 (2.0690)	Prec@1 46.500 (46.912)	Prec@5 79.000 (77.442)
Epoch: [32][6330/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.1062 (2.0690)	Prec@1 47.500 (46.913)	Prec@5 74.500 (77.441)
Epoch: [32][6340/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 1.9772 (2.0689)	Prec@1 46.000 (46.916)	Prec@5 77.500 (77.444)
Epoch: [32][6350/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0302 (2.0690)	Prec@1 46.500 (46.913)	Prec@5 77.500 (77.442)
Epoch: [32][6360/9018]	Time 0.622 (0.610)	Data 0.001 (0.001)	Loss 1.8426 (2.0691)	Prec@1 51.500 (46.909)	Prec@5 83.000 (77.440)
Epoch: [32][6370/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.9030 (2.0691)	Prec@1 50.000 (46.912)	Prec@5 81.500 (77.443)
Epoch: [32][6380/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9789 (2.0690)	Prec@1 47.500 (46.913)	Prec@5 82.500 (77.445)
Epoch: [32][6390/9018]	Time 0.590 (0.610)	Data 0.001 (0.001)	Loss 2.0610 (2.0689)	Prec@1 45.000 (46.916)	Prec@5 81.500 (77.449)
Epoch: [32][6400/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0962 (2.0690)	Prec@1 44.000 (46.915)	Prec@5 75.000 (77.450)
Epoch: [32][6410/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9858 (2.0689)	Prec@1 48.000 (46.917)	Prec@5 78.500 (77.451)
Epoch: [32][6420/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9187 (2.0689)	Prec@1 48.500 (46.917)	Prec@5 80.500 (77.451)
Epoch: [32][6430/9018]	Time 0.612 (0.610)	Data 0.001 (0.001)	Loss 2.2221 (2.0690)	Prec@1 40.000 (46.916)	Prec@5 74.000 (77.448)
Epoch: [32][6440/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0194 (2.0689)	Prec@1 44.500 (46.918)	Prec@5 78.000 (77.449)
Epoch: [32][6450/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.2157 (2.0689)	Prec@1 45.500 (46.917)	Prec@5 74.500 (77.448)
Epoch: [32][6460/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0250 (2.0688)	Prec@1 45.000 (46.919)	Prec@5 78.500 (77.450)
Epoch: [32][6470/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 2.1184 (2.0688)	Prec@1 43.500 (46.919)	Prec@5 77.500 (77.450)
Epoch: [32][6480/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.2233 (2.0688)	Prec@1 43.500 (46.918)	Prec@5 76.500 (77.451)
Epoch: [32][6490/9018]	Time 0.730 (0.610)	Data 0.001 (0.001)	Loss 2.0250 (2.0688)	Prec@1 47.500 (46.920)	Prec@5 77.500 (77.452)
Epoch: [32][6500/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.1279 (2.0688)	Prec@1 46.500 (46.920)	Prec@5 77.000 (77.451)
Epoch: [32][6510/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0707 (2.0689)	Prec@1 42.500 (46.920)	Prec@5 79.500 (77.451)
Epoch: [32][6520/9018]	Time 0.624 (0.610)	Data 0.001 (0.001)	Loss 1.9808 (2.0689)	Prec@1 48.000 (46.922)	Prec@5 79.500 (77.451)
Epoch: [32][6530/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1186 (2.0688)	Prec@1 44.000 (46.923)	Prec@5 80.000 (77.453)
Epoch: [32][6540/9018]	Time 0.714 (0.610)	Data 0.001 (0.001)	Loss 2.1508 (2.0688)	Prec@1 46.000 (46.921)	Prec@5 75.500 (77.452)
Epoch: [32][6550/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.2224 (2.0689)	Prec@1 43.000 (46.921)	Prec@5 71.500 (77.451)
Epoch: [32][6560/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.9861 (2.0689)	Prec@1 45.000 (46.921)	Prec@5 80.000 (77.450)
Epoch: [32][6570/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 2.0304 (2.0688)	Prec@1 47.500 (46.922)	Prec@5 78.000 (77.452)
Epoch: [32][6580/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0515 (2.0688)	Prec@1 47.000 (46.923)	Prec@5 76.500 (77.453)
Epoch: [32][6590/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0888 (2.0687)	Prec@1 47.000 (46.923)	Prec@5 75.500 (77.454)
Epoch: [32][6600/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0369 (2.0688)	Prec@1 47.500 (46.919)	Prec@5 78.000 (77.452)
Epoch: [32][6610/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.1522 (2.0688)	Prec@1 42.500 (46.921)	Prec@5 76.500 (77.453)
Epoch: [32][6620/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9751 (2.0688)	Prec@1 43.500 (46.920)	Prec@5 80.500 (77.456)
Epoch: [32][6630/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0098 (2.0687)	Prec@1 47.500 (46.921)	Prec@5 78.500 (77.457)
Epoch: [32][6640/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0373 (2.0686)	Prec@1 50.500 (46.923)	Prec@5 77.500 (77.459)
Epoch: [32][6650/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.9952 (2.0685)	Prec@1 48.500 (46.926)	Prec@5 79.500 (77.462)
Epoch: [32][6660/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0968 (2.0685)	Prec@1 48.500 (46.927)	Prec@5 74.000 (77.462)
Epoch: [32][6670/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 2.0971 (2.0686)	Prec@1 51.000 (46.928)	Prec@5 78.500 (77.461)
Epoch: [32][6680/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.0762 (2.0686)	Prec@1 45.000 (46.928)	Prec@5 77.000 (77.460)
Epoch: [32][6690/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.8624 (2.0685)	Prec@1 50.500 (46.929)	Prec@5 79.500 (77.461)
Epoch: [32][6700/9018]	Time 0.617 (0.610)	Data 0.001 (0.001)	Loss 1.9670 (2.0685)	Prec@1 50.000 (46.929)	Prec@5 80.000 (77.462)
Epoch: [32][6710/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0268 (2.0684)	Prec@1 46.500 (46.930)	Prec@5 79.500 (77.465)
Epoch: [32][6720/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.2974 (2.0685)	Prec@1 42.500 (46.928)	Prec@5 74.500 (77.462)
Epoch: [32][6730/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9436 (2.0686)	Prec@1 46.000 (46.926)	Prec@5 82.000 (77.461)
Epoch: [32][6740/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 1.9677 (2.0685)	Prec@1 49.000 (46.930)	Prec@5 79.500 (77.463)
Epoch: [32][6750/9018]	Time 0.626 (0.610)	Data 0.001 (0.001)	Loss 1.9938 (2.0685)	Prec@1 45.000 (46.931)	Prec@5 80.500 (77.464)
Epoch: [32][6760/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9481 (2.0685)	Prec@1 48.500 (46.930)	Prec@5 80.000 (77.462)
Epoch: [32][6770/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.9558 (2.0685)	Prec@1 49.500 (46.930)	Prec@5 80.000 (77.464)
Epoch: [32][6780/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1824 (2.0685)	Prec@1 44.000 (46.931)	Prec@5 76.500 (77.464)
Epoch: [32][6790/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.1212 (2.0685)	Prec@1 44.000 (46.930)	Prec@5 73.500 (77.463)
Epoch: [32][6800/9018]	Time 0.611 (0.610)	Data 0.001 (0.001)	Loss 2.1351 (2.0684)	Prec@1 47.500 (46.930)	Prec@5 75.500 (77.465)
Epoch: [32][6810/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0077 (2.0684)	Prec@1 51.000 (46.932)	Prec@5 79.500 (77.465)
Epoch: [32][6820/9018]	Time 0.716 (0.610)	Data 0.001 (0.001)	Loss 2.1652 (2.0684)	Prec@1 49.000 (46.933)	Prec@5 75.500 (77.465)
Epoch: [32][6830/9018]	Time 0.618 (0.610)	Data 0.001 (0.001)	Loss 1.9765 (2.0684)	Prec@1 46.500 (46.932)	Prec@5 78.000 (77.466)
Epoch: [32][6840/9018]	Time 0.627 (0.610)	Data 0.001 (0.001)	Loss 2.0798 (2.0684)	Prec@1 48.000 (46.931)	Prec@5 78.000 (77.465)
Epoch: [32][6850/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1197 (2.0684)	Prec@1 47.500 (46.932)	Prec@5 75.500 (77.466)
Epoch: [32][6860/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1597 (2.0685)	Prec@1 45.000 (46.928)	Prec@5 75.500 (77.465)
Epoch: [32][6870/9018]	Time 0.727 (0.610)	Data 0.001 (0.001)	Loss 2.0603 (2.0685)	Prec@1 49.000 (46.929)	Prec@5 77.000 (77.464)
Epoch: [32][6880/9018]	Time 0.627 (0.610)	Data 0.001 (0.001)	Loss 2.1714 (2.0686)	Prec@1 43.500 (46.927)	Prec@5 75.500 (77.464)
Epoch: [32][6890/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1746 (2.0686)	Prec@1 44.000 (46.928)	Prec@5 77.500 (77.465)
Epoch: [32][6900/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.0319 (2.0685)	Prec@1 49.000 (46.928)	Prec@5 76.500 (77.465)
Epoch: [32][6910/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1250 (2.0686)	Prec@1 43.500 (46.927)	Prec@5 76.000 (77.463)
Epoch: [32][6920/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1654 (2.0685)	Prec@1 45.000 (46.929)	Prec@5 79.000 (77.467)
Epoch: [32][6930/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1661 (2.0686)	Prec@1 45.000 (46.928)	Prec@5 74.500 (77.464)
Epoch: [32][6940/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.1507 (2.0687)	Prec@1 44.000 (46.926)	Prec@5 79.000 (77.463)
Epoch: [32][6950/9018]	Time 0.619 (0.610)	Data 0.001 (0.001)	Loss 2.0817 (2.0687)	Prec@1 47.500 (46.925)	Prec@5 75.500 (77.463)
Epoch: [32][6960/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.9318 (2.0686)	Prec@1 50.500 (46.927)	Prec@5 79.500 (77.464)
Epoch: [32][6970/9018]	Time 0.609 (0.610)	Data 0.001 (0.001)	Loss 1.9159 (2.0686)	Prec@1 49.500 (46.927)	Prec@5 80.500 (77.463)
Epoch: [32][6980/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1227 (2.0686)	Prec@1 46.500 (46.926)	Prec@5 73.500 (77.460)
Epoch: [32][6990/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0278 (2.0686)	Prec@1 47.000 (46.927)	Prec@5 77.000 (77.462)
Epoch: [32][7000/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1350 (2.0686)	Prec@1 45.500 (46.928)	Prec@5 78.000 (77.462)
Epoch: [32][7010/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0767 (2.0686)	Prec@1 50.500 (46.929)	Prec@5 75.000 (77.463)
Epoch: [32][7020/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.2429 (2.0685)	Prec@1 45.000 (46.931)	Prec@5 74.000 (77.463)
Epoch: [32][7030/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.0646 (2.0686)	Prec@1 41.500 (46.929)	Prec@5 80.000 (77.462)
Epoch: [32][7040/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.1216 (2.0686)	Prec@1 45.000 (46.930)	Prec@5 75.500 (77.462)
Epoch: [32][7050/9018]	Time 0.623 (0.610)	Data 0.001 (0.001)	Loss 2.2491 (2.0686)	Prec@1 44.000 (46.929)	Prec@5 78.000 (77.461)
Epoch: [32][7060/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9100 (2.0687)	Prec@1 54.000 (46.927)	Prec@5 81.500 (77.459)
Epoch: [32][7070/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1199 (2.0688)	Prec@1 43.500 (46.925)	Prec@5 77.500 (77.460)
Epoch: [32][7080/9018]	Time 0.632 (0.610)	Data 0.001 (0.001)	Loss 1.9232 (2.0687)	Prec@1 54.000 (46.926)	Prec@5 77.000 (77.460)
Epoch: [32][7090/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1534 (2.0687)	Prec@1 49.500 (46.928)	Prec@5 73.500 (77.461)
Epoch: [32][7100/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.2822 (2.0688)	Prec@1 41.000 (46.924)	Prec@5 73.500 (77.460)
Epoch: [32][7110/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0254 (2.0688)	Prec@1 49.500 (46.924)	Prec@5 78.000 (77.458)
Epoch: [32][7120/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.2754 (2.0688)	Prec@1 43.000 (46.925)	Prec@5 73.000 (77.459)
Epoch: [32][7130/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.4104 (2.0688)	Prec@1 40.500 (46.924)	Prec@5 71.000 (77.460)
Epoch: [32][7140/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.9586 (2.0689)	Prec@1 51.000 (46.924)	Prec@5 78.500 (77.459)
Epoch: [32][7150/9018]	Time 0.708 (0.610)	Data 0.001 (0.001)	Loss 2.0775 (2.0689)	Prec@1 46.000 (46.923)	Prec@5 78.000 (77.459)
Epoch: [32][7160/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1563 (2.0689)	Prec@1 47.500 (46.921)	Prec@5 72.500 (77.458)
Epoch: [32][7170/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9661 (2.0689)	Prec@1 52.000 (46.921)	Prec@5 80.500 (77.457)
Epoch: [32][7180/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1167 (2.0690)	Prec@1 49.500 (46.919)	Prec@5 76.000 (77.456)
Epoch: [32][7190/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0792 (2.0691)	Prec@1 45.000 (46.919)	Prec@5 75.500 (77.455)
Epoch: [32][7200/9018]	Time 0.719 (0.610)	Data 0.001 (0.001)	Loss 2.0305 (2.0690)	Prec@1 50.000 (46.922)	Prec@5 79.500 (77.455)
Epoch: [32][7210/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1024 (2.0690)	Prec@1 48.000 (46.923)	Prec@5 77.000 (77.456)
Epoch: [32][7220/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0080 (2.0690)	Prec@1 43.000 (46.925)	Prec@5 80.000 (77.456)
Epoch: [32][7230/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0344 (2.0690)	Prec@1 48.500 (46.923)	Prec@5 77.500 (77.455)
Epoch: [32][7240/9018]	Time 0.630 (0.610)	Data 0.001 (0.001)	Loss 1.9175 (2.0689)	Prec@1 52.500 (46.925)	Prec@5 78.000 (77.457)
Epoch: [32][7250/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9572 (2.0689)	Prec@1 50.000 (46.923)	Prec@5 81.000 (77.456)
Epoch: [32][7260/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 2.1783 (2.0689)	Prec@1 44.500 (46.923)	Prec@5 76.000 (77.456)
Epoch: [32][7270/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0079 (2.0689)	Prec@1 50.000 (46.926)	Prec@5 80.000 (77.457)
Epoch: [32][7280/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.8569 (2.0688)	Prec@1 49.000 (46.925)	Prec@5 78.000 (77.456)
Epoch: [32][7290/9018]	Time 0.621 (0.610)	Data 0.001 (0.001)	Loss 1.7162 (2.0688)	Prec@1 56.500 (46.927)	Prec@5 80.500 (77.458)
Epoch: [32][7300/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.1296 (2.0687)	Prec@1 42.000 (46.927)	Prec@5 75.500 (77.458)
Epoch: [32][7310/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.1762 (2.0688)	Prec@1 46.000 (46.928)	Prec@5 73.000 (77.456)
Epoch: [32][7320/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9160 (2.0688)	Prec@1 48.000 (46.928)	Prec@5 80.000 (77.457)
Epoch: [32][7330/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0198 (2.0688)	Prec@1 47.000 (46.929)	Prec@5 81.500 (77.457)
Epoch: [32][7340/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0536 (2.0688)	Prec@1 47.500 (46.930)	Prec@5 79.000 (77.458)
Epoch: [32][7350/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.7519 (2.0688)	Prec@1 51.500 (46.930)	Prec@5 82.000 (77.459)
Epoch: [32][7360/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1858 (2.0688)	Prec@1 44.500 (46.929)	Prec@5 77.500 (77.459)
Epoch: [32][7370/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.2797 (2.0689)	Prec@1 41.500 (46.927)	Prec@5 74.000 (77.458)
Epoch: [32][7380/9018]	Time 0.620 (0.610)	Data 0.001 (0.001)	Loss 2.0061 (2.0689)	Prec@1 51.000 (46.929)	Prec@5 80.000 (77.460)
Epoch: [32][7390/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0451 (2.0688)	Prec@1 47.500 (46.931)	Prec@5 80.000 (77.462)
Epoch: [32][7400/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.9356 (2.0687)	Prec@1 50.500 (46.932)	Prec@5 81.500 (77.462)
Epoch: [32][7410/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.0005 (2.0687)	Prec@1 48.000 (46.932)	Prec@5 78.000 (77.462)
Epoch: [32][7420/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 1.9707 (2.0687)	Prec@1 51.500 (46.933)	Prec@5 79.500 (77.462)
Epoch: [32][7430/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0426 (2.0688)	Prec@1 52.500 (46.932)	Prec@5 75.500 (77.461)
Epoch: [32][7440/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0822 (2.0688)	Prec@1 52.000 (46.933)	Prec@5 74.500 (77.460)
Epoch: [32][7450/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.9863 (2.0687)	Prec@1 48.500 (46.934)	Prec@5 79.000 (77.463)
Epoch: [32][7460/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.2072 (2.0688)	Prec@1 42.000 (46.933)	Prec@5 77.500 (77.462)
Epoch: [32][7470/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1442 (2.0688)	Prec@1 43.000 (46.931)	Prec@5 75.500 (77.462)
Epoch: [32][7480/9018]	Time 0.734 (0.610)	Data 0.001 (0.001)	Loss 1.9475 (2.0688)	Prec@1 48.500 (46.931)	Prec@5 81.000 (77.463)
Epoch: [32][7490/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.0721 (2.0688)	Prec@1 50.000 (46.930)	Prec@5 81.500 (77.461)
Epoch: [32][7500/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0633 (2.0689)	Prec@1 44.000 (46.929)	Prec@5 77.000 (77.459)
Epoch: [32][7510/9018]	Time 0.633 (0.610)	Data 0.001 (0.001)	Loss 2.0871 (2.0689)	Prec@1 47.500 (46.928)	Prec@5 76.000 (77.459)
Epoch: [32][7520/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9704 (2.0689)	Prec@1 55.000 (46.927)	Prec@5 76.000 (77.457)
Epoch: [32][7530/9018]	Time 0.709 (0.610)	Data 0.001 (0.001)	Loss 2.0092 (2.0689)	Prec@1 48.500 (46.928)	Prec@5 78.000 (77.457)
Epoch: [32][7540/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1781 (2.0690)	Prec@1 44.500 (46.924)	Prec@5 72.000 (77.453)
Epoch: [32][7550/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0115 (2.0690)	Prec@1 48.000 (46.926)	Prec@5 77.000 (77.454)
Epoch: [32][7560/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.2520 (2.0690)	Prec@1 41.500 (46.927)	Prec@5 77.000 (77.454)
Epoch: [32][7570/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.2469 (2.0690)	Prec@1 40.000 (46.926)	Prec@5 75.500 (77.455)
Epoch: [32][7580/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1544 (2.0691)	Prec@1 48.000 (46.925)	Prec@5 76.000 (77.454)
Epoch: [32][7590/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0692 (2.0691)	Prec@1 53.000 (46.924)	Prec@5 77.000 (77.454)
Epoch: [32][7600/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.9853 (2.0691)	Prec@1 49.000 (46.925)	Prec@5 79.500 (77.455)
Epoch: [32][7610/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0170 (2.0691)	Prec@1 50.000 (46.924)	Prec@5 80.000 (77.457)
Epoch: [32][7620/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0943 (2.0691)	Prec@1 45.500 (46.925)	Prec@5 76.500 (77.457)
Epoch: [32][7630/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0429 (2.0691)	Prec@1 45.500 (46.924)	Prec@5 80.000 (77.457)
Epoch: [32][7640/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1599 (2.0690)	Prec@1 42.500 (46.927)	Prec@5 73.000 (77.456)
Epoch: [32][7650/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 1.9247 (2.0690)	Prec@1 48.500 (46.928)	Prec@5 80.000 (77.458)
Epoch: [32][7660/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.0925 (2.0690)	Prec@1 46.500 (46.927)	Prec@5 77.500 (77.457)
Epoch: [32][7670/9018]	Time 0.620 (0.610)	Data 0.001 (0.001)	Loss 2.1547 (2.0689)	Prec@1 48.000 (46.930)	Prec@5 75.000 (77.457)
Epoch: [32][7680/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0259 (2.0689)	Prec@1 44.000 (46.932)	Prec@5 79.500 (77.456)
Epoch: [32][7690/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.9915 (2.0689)	Prec@1 50.000 (46.933)	Prec@5 78.500 (77.457)
Epoch: [32][7700/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0674 (2.0688)	Prec@1 45.500 (46.933)	Prec@5 75.500 (77.458)
Epoch: [32][7710/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9652 (2.0688)	Prec@1 50.500 (46.933)	Prec@5 81.000 (77.458)
Epoch: [32][7720/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1956 (2.0688)	Prec@1 45.000 (46.935)	Prec@5 74.000 (77.457)
Epoch: [32][7730/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1233 (2.0688)	Prec@1 48.500 (46.934)	Prec@5 75.500 (77.457)
Epoch: [32][7740/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.1353 (2.0688)	Prec@1 42.500 (46.934)	Prec@5 74.000 (77.458)
Epoch: [32][7750/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.2020 (2.0690)	Prec@1 43.500 (46.931)	Prec@5 76.000 (77.456)
Epoch: [32][7760/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 2.2322 (2.0690)	Prec@1 44.000 (46.929)	Prec@5 76.500 (77.454)
Epoch: [32][7770/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0016 (2.0691)	Prec@1 44.500 (46.928)	Prec@5 77.500 (77.453)
Epoch: [32][7780/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0955 (2.0690)	Prec@1 47.000 (46.930)	Prec@5 80.000 (77.454)
Epoch: [32][7790/9018]	Time 0.589 (0.610)	Data 0.001 (0.001)	Loss 1.9197 (2.0691)	Prec@1 52.000 (46.928)	Prec@5 78.500 (77.452)
Epoch: [32][7800/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0030 (2.0690)	Prec@1 46.500 (46.928)	Prec@5 77.500 (77.452)
Epoch: [32][7810/9018]	Time 0.732 (0.610)	Data 0.001 (0.001)	Loss 1.8670 (2.0691)	Prec@1 53.500 (46.927)	Prec@5 84.000 (77.453)
Epoch: [32][7820/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.9696 (2.0690)	Prec@1 51.000 (46.928)	Prec@5 77.000 (77.453)
Epoch: [32][7830/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.1100 (2.0690)	Prec@1 48.000 (46.927)	Prec@5 78.500 (77.453)
Epoch: [32][7840/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.1059 (2.0691)	Prec@1 47.500 (46.924)	Prec@5 76.500 (77.452)
Epoch: [32][7850/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1337 (2.0691)	Prec@1 44.000 (46.924)	Prec@5 78.000 (77.452)
Epoch: [32][7860/9018]	Time 0.720 (0.610)	Data 0.001 (0.001)	Loss 1.9622 (2.0692)	Prec@1 49.000 (46.924)	Prec@5 80.500 (77.452)
Epoch: [32][7870/9018]	Time 0.616 (0.610)	Data 0.001 (0.001)	Loss 1.9370 (2.0692)	Prec@1 53.000 (46.925)	Prec@5 75.000 (77.450)
Epoch: [32][7880/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 2.1598 (2.0693)	Prec@1 44.500 (46.924)	Prec@5 77.000 (77.449)
Epoch: [32][7890/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.1903 (2.0693)	Prec@1 44.000 (46.924)	Prec@5 75.000 (77.449)
Epoch: [32][7900/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1177 (2.0693)	Prec@1 45.500 (46.922)	Prec@5 78.000 (77.449)
Epoch: [32][7910/9018]	Time 0.631 (0.610)	Data 0.001 (0.001)	Loss 2.0491 (2.0692)	Prec@1 48.000 (46.923)	Prec@5 77.000 (77.450)
Epoch: [32][7920/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.2455 (2.0692)	Prec@1 41.500 (46.921)	Prec@5 73.500 (77.450)
Epoch: [32][7930/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1859 (2.0693)	Prec@1 45.500 (46.920)	Prec@5 76.500 (77.448)
Epoch: [32][7940/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.0856 (2.0693)	Prec@1 50.000 (46.919)	Prec@5 77.000 (77.447)
Epoch: [32][7950/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.9826 (2.0693)	Prec@1 48.500 (46.919)	Prec@5 80.000 (77.447)
Epoch: [32][7960/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1006 (2.0693)	Prec@1 48.500 (46.919)	Prec@5 78.500 (77.447)
Epoch: [32][7970/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.8456 (2.0693)	Prec@1 52.000 (46.920)	Prec@5 81.000 (77.448)
Epoch: [32][7980/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0245 (2.0693)	Prec@1 43.500 (46.920)	Prec@5 79.500 (77.446)
Epoch: [32][7990/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1547 (2.0692)	Prec@1 43.500 (46.921)	Prec@5 73.000 (77.448)
Epoch: [32][8000/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 2.1121 (2.0691)	Prec@1 43.000 (46.924)	Prec@5 77.000 (77.449)
Epoch: [32][8010/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9491 (2.0692)	Prec@1 52.000 (46.922)	Prec@5 77.500 (77.448)
Epoch: [32][8020/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1376 (2.0692)	Prec@1 49.500 (46.923)	Prec@5 77.000 (77.448)
Epoch: [32][8030/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.2576 (2.0692)	Prec@1 46.000 (46.923)	Prec@5 74.500 (77.449)
Epoch: [32][8040/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.8762 (2.0691)	Prec@1 51.500 (46.925)	Prec@5 78.000 (77.451)
Epoch: [32][8050/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1127 (2.0691)	Prec@1 46.500 (46.924)	Prec@5 76.500 (77.450)
Epoch: [32][8060/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9886 (2.0692)	Prec@1 51.000 (46.923)	Prec@5 79.500 (77.449)
Epoch: [32][8070/9018]	Time 0.611 (0.610)	Data 0.001 (0.001)	Loss 2.0430 (2.0692)	Prec@1 50.000 (46.925)	Prec@5 75.500 (77.448)
Epoch: [32][8080/9018]	Time 0.621 (0.610)	Data 0.001 (0.001)	Loss 1.9574 (2.0691)	Prec@1 50.500 (46.925)	Prec@5 79.500 (77.447)
Epoch: [32][8090/9018]	Time 0.716 (0.610)	Data 0.001 (0.001)	Loss 2.1229 (2.0690)	Prec@1 45.000 (46.929)	Prec@5 77.000 (77.450)
Epoch: [32][8100/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.1484 (2.0690)	Prec@1 43.000 (46.929)	Prec@5 77.000 (77.450)
Epoch: [32][8110/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1210 (2.0689)	Prec@1 46.000 (46.931)	Prec@5 73.000 (77.450)
Epoch: [32][8120/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9148 (2.0690)	Prec@1 48.000 (46.929)	Prec@5 80.000 (77.448)
Epoch: [32][8130/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0094 (2.0691)	Prec@1 50.000 (46.929)	Prec@5 74.000 (77.447)
Epoch: [32][8140/9018]	Time 0.738 (0.610)	Data 0.001 (0.001)	Loss 2.0468 (2.0691)	Prec@1 46.000 (46.927)	Prec@5 77.500 (77.446)
Epoch: [32][8150/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9375 (2.0692)	Prec@1 48.000 (46.925)	Prec@5 78.000 (77.444)
Epoch: [32][8160/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.9567 (2.0692)	Prec@1 48.000 (46.925)	Prec@5 82.500 (77.445)
Epoch: [32][8170/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.8983 (2.0690)	Prec@1 48.500 (46.927)	Prec@5 80.000 (77.448)
Epoch: [32][8180/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.2511 (2.0690)	Prec@1 44.500 (46.928)	Prec@5 75.500 (77.447)
Epoch: [32][8190/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1765 (2.0690)	Prec@1 44.500 (46.931)	Prec@5 74.000 (77.448)
Epoch: [32][8200/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 2.1608 (2.0690)	Prec@1 45.500 (46.930)	Prec@5 75.000 (77.448)
Epoch: [32][8210/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.8935 (2.0690)	Prec@1 48.000 (46.931)	Prec@5 81.000 (77.448)
Epoch: [32][8220/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.5294 (2.0690)	Prec@1 37.500 (46.930)	Prec@5 66.500 (77.448)
Epoch: [32][8230/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1495 (2.0690)	Prec@1 45.000 (46.931)	Prec@5 76.500 (77.448)
Epoch: [32][8240/9018]	Time 0.626 (0.610)	Data 0.001 (0.001)	Loss 2.1704 (2.0689)	Prec@1 44.000 (46.930)	Prec@5 78.500 (77.449)
Epoch: [32][8250/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.0733 (2.0690)	Prec@1 45.000 (46.930)	Prec@5 79.500 (77.448)
Epoch: [32][8260/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.1140 (2.0689)	Prec@1 46.500 (46.932)	Prec@5 77.500 (77.449)
Epoch: [32][8270/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1940 (2.0690)	Prec@1 47.500 (46.931)	Prec@5 71.000 (77.449)
Epoch: [32][8280/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.1632 (2.0691)	Prec@1 44.000 (46.928)	Prec@5 73.000 (77.447)
Epoch: [32][8290/9018]	Time 0.586 (0.610)	Data 0.001 (0.001)	Loss 2.1605 (2.0691)	Prec@1 47.500 (46.926)	Prec@5 74.000 (77.445)
Epoch: [32][8300/9018]	Time 0.627 (0.610)	Data 0.001 (0.001)	Loss 2.1277 (2.0692)	Prec@1 41.500 (46.925)	Prec@5 78.000 (77.444)
Epoch: [32][8310/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1552 (2.0691)	Prec@1 43.000 (46.925)	Prec@5 78.000 (77.445)
Epoch: [32][8320/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0636 (2.0691)	Prec@1 45.500 (46.925)	Prec@5 76.500 (77.445)
Epoch: [32][8330/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9892 (2.0691)	Prec@1 52.000 (46.925)	Prec@5 79.500 (77.446)
Epoch: [32][8340/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.1534 (2.0692)	Prec@1 44.000 (46.924)	Prec@5 75.500 (77.444)
Epoch: [32][8350/9018]	Time 0.626 (0.610)	Data 0.001 (0.001)	Loss 2.0740 (2.0692)	Prec@1 49.000 (46.925)	Prec@5 76.000 (77.445)
Epoch: [32][8360/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1668 (2.0691)	Prec@1 47.000 (46.927)	Prec@5 74.500 (77.447)
Epoch: [32][8370/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0868 (2.0691)	Prec@1 44.000 (46.927)	Prec@5 76.000 (77.445)
Epoch: [32][8380/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1677 (2.0690)	Prec@1 45.000 (46.928)	Prec@5 73.000 (77.445)
Epoch: [32][8390/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0796 (2.0689)	Prec@1 46.000 (46.931)	Prec@5 79.000 (77.448)
Epoch: [32][8400/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.3776 (2.0690)	Prec@1 43.500 (46.930)	Prec@5 69.000 (77.446)
Epoch: [32][8410/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0964 (2.0690)	Prec@1 46.000 (46.930)	Prec@5 77.500 (77.448)
Epoch: [32][8420/9018]	Time 0.731 (0.610)	Data 0.001 (0.001)	Loss 2.0682 (2.0689)	Prec@1 40.500 (46.930)	Prec@5 74.500 (77.449)
Epoch: [32][8430/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.1253 (2.0690)	Prec@1 47.500 (46.928)	Prec@5 74.000 (77.449)
Epoch: [32][8440/9018]	Time 0.625 (0.610)	Data 0.001 (0.001)	Loss 2.1529 (2.0690)	Prec@1 43.500 (46.929)	Prec@5 71.500 (77.448)
Epoch: [32][8450/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.9222 (2.0689)	Prec@1 47.500 (46.929)	Prec@5 79.500 (77.450)
Epoch: [32][8460/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1381 (2.0688)	Prec@1 44.500 (46.930)	Prec@5 77.500 (77.452)
Epoch: [32][8470/9018]	Time 0.721 (0.610)	Data 0.001 (0.001)	Loss 1.8876 (2.0687)	Prec@1 50.500 (46.931)	Prec@5 82.000 (77.454)
Epoch: [32][8480/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.2300 (2.0688)	Prec@1 42.500 (46.929)	Prec@5 74.500 (77.454)
Epoch: [32][8490/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.4118 (2.0689)	Prec@1 37.000 (46.925)	Prec@5 73.000 (77.451)
Epoch: [32][8500/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1847 (2.0690)	Prec@1 43.500 (46.924)	Prec@5 75.000 (77.449)
Epoch: [32][8510/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9513 (2.0689)	Prec@1 50.500 (46.926)	Prec@5 75.500 (77.450)
Epoch: [32][8520/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 2.0970 (2.0689)	Prec@1 46.000 (46.926)	Prec@5 75.000 (77.449)
Epoch: [32][8530/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.9832 (2.0689)	Prec@1 48.000 (46.927)	Prec@5 81.500 (77.451)
Epoch: [32][8540/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 1.9947 (2.0689)	Prec@1 50.500 (46.926)	Prec@5 80.000 (77.451)
Epoch: [32][8550/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.2682 (2.0689)	Prec@1 42.500 (46.925)	Prec@5 71.500 (77.450)
Epoch: [32][8560/9018]	Time 0.617 (0.610)	Data 0.001 (0.001)	Loss 1.7559 (2.0689)	Prec@1 52.500 (46.927)	Prec@5 82.500 (77.452)
Epoch: [32][8570/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.0606 (2.0689)	Prec@1 45.500 (46.925)	Prec@5 78.500 (77.451)
Epoch: [32][8580/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.0491 (2.0690)	Prec@1 45.000 (46.923)	Prec@5 78.500 (77.451)
Epoch: [32][8590/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.8064 (2.0690)	Prec@1 48.500 (46.924)	Prec@5 80.500 (77.451)
Epoch: [32][8600/9018]	Time 0.616 (0.610)	Data 0.001 (0.001)	Loss 1.9605 (2.0690)	Prec@1 53.000 (46.922)	Prec@5 77.500 (77.450)
Epoch: [32][8610/9018]	Time 0.631 (0.610)	Data 0.001 (0.001)	Loss 1.7043 (2.0690)	Prec@1 58.000 (46.923)	Prec@5 83.500 (77.449)
Epoch: [32][8620/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0709 (2.0690)	Prec@1 49.000 (46.923)	Prec@5 76.500 (77.448)
Epoch: [32][8630/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0585 (2.0690)	Prec@1 44.500 (46.922)	Prec@5 76.500 (77.449)
Epoch: [32][8640/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.2067 (2.0691)	Prec@1 43.000 (46.922)	Prec@5 77.000 (77.448)
Epoch: [32][8650/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.8453 (2.0690)	Prec@1 50.500 (46.922)	Prec@5 80.500 (77.448)
Epoch: [32][8660/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1416 (2.0691)	Prec@1 49.000 (46.920)	Prec@5 75.500 (77.448)
Epoch: [32][8670/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9672 (2.0691)	Prec@1 50.500 (46.921)	Prec@5 78.500 (77.446)
Epoch: [32][8680/9018]	Time 0.624 (0.610)	Data 0.001 (0.001)	Loss 2.0281 (2.0691)	Prec@1 43.500 (46.921)	Prec@5 77.000 (77.447)
Epoch: [32][8690/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0568 (2.0691)	Prec@1 44.500 (46.921)	Prec@5 79.000 (77.447)
Epoch: [32][8700/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9985 (2.0691)	Prec@1 48.000 (46.922)	Prec@5 81.500 (77.447)
Epoch: [32][8710/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0624 (2.0691)	Prec@1 44.500 (46.922)	Prec@5 78.000 (77.447)
Epoch: [32][8720/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1677 (2.0691)	Prec@1 43.500 (46.923)	Prec@5 77.000 (77.446)
Epoch: [32][8730/9018]	Time 0.616 (0.610)	Data 0.001 (0.001)	Loss 2.1559 (2.0691)	Prec@1 45.000 (46.922)	Prec@5 74.500 (77.445)
Epoch: [32][8740/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0167 (2.0691)	Prec@1 49.000 (46.922)	Prec@5 74.000 (77.444)
Epoch: [32][8750/9018]	Time 0.721 (0.610)	Data 0.001 (0.001)	Loss 2.2082 (2.0691)	Prec@1 42.500 (46.922)	Prec@5 74.000 (77.444)
Epoch: [32][8760/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.3818 (2.0692)	Prec@1 42.000 (46.921)	Prec@5 75.000 (77.444)
Epoch: [32][8770/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0223 (2.0691)	Prec@1 49.500 (46.921)	Prec@5 79.000 (77.446)
Epoch: [32][8780/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 2.2772 (2.0691)	Prec@1 42.000 (46.921)	Prec@5 72.000 (77.444)
Epoch: [32][8790/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.2128 (2.0692)	Prec@1 42.000 (46.918)	Prec@5 77.000 (77.442)
Epoch: [32][8800/9018]	Time 0.730 (0.610)	Data 0.001 (0.001)	Loss 2.1421 (2.0692)	Prec@1 49.500 (46.918)	Prec@5 73.000 (77.440)
Epoch: [32][8810/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.1923 (2.0693)	Prec@1 47.500 (46.919)	Prec@5 75.000 (77.440)
Epoch: [32][8820/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9405 (2.0692)	Prec@1 49.500 (46.921)	Prec@5 76.000 (77.441)
Epoch: [32][8830/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.8842 (2.0692)	Prec@1 52.500 (46.922)	Prec@5 80.000 (77.441)
Epoch: [32][8840/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1652 (2.0691)	Prec@1 44.000 (46.925)	Prec@5 74.000 (77.441)
Epoch: [32][8850/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.1805 (2.0692)	Prec@1 42.500 (46.924)	Prec@5 76.500 (77.441)
Epoch: [32][8860/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 2.3696 (2.0692)	Prec@1 43.500 (46.923)	Prec@5 71.500 (77.440)
Epoch: [32][8870/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1411 (2.0691)	Prec@1 46.500 (46.924)	Prec@5 75.500 (77.440)
Epoch: [32][8880/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.2133 (2.0691)	Prec@1 41.000 (46.925)	Prec@5 79.000 (77.439)
Epoch: [32][8890/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.8840 (2.0691)	Prec@1 52.000 (46.925)	Prec@5 81.500 (77.439)
Epoch: [32][8900/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1997 (2.0692)	Prec@1 39.500 (46.922)	Prec@5 74.000 (77.439)
Epoch: [32][8910/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 2.0726 (2.0692)	Prec@1 48.500 (46.921)	Prec@5 77.000 (77.438)
Epoch: [32][8920/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1725 (2.0692)	Prec@1 44.000 (46.922)	Prec@5 77.000 (77.438)
Epoch: [32][8930/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9418 (2.0690)	Prec@1 50.500 (46.923)	Prec@5 81.000 (77.441)
Epoch: [32][8940/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0949 (2.0691)	Prec@1 41.500 (46.922)	Prec@5 78.500 (77.440)
Epoch: [32][8950/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.8646 (2.0690)	Prec@1 52.000 (46.923)	Prec@5 79.000 (77.440)
Epoch: [32][8960/9018]	Time 0.620 (0.610)	Data 0.001 (0.001)	Loss 2.0730 (2.0690)	Prec@1 45.500 (46.923)	Prec@5 76.500 (77.441)
Epoch: [32][8970/9018]	Time 0.609 (0.610)	Data 0.001 (0.001)	Loss 2.1654 (2.0690)	Prec@1 46.000 (46.922)	Prec@5 76.000 (77.441)
Epoch: [32][8980/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.1225 (2.0690)	Prec@1 50.000 (46.924)	Prec@5 76.500 (77.442)
Epoch: [32][8990/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0699 (2.0690)	Prec@1 51.500 (46.923)	Prec@5 76.000 (77.440)
Epoch: [32][9000/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.9410 (2.0691)	Prec@1 49.500 (46.922)	Prec@5 81.500 (77.440)
Epoch: [32][9010/9018]	Time 0.592 (0.610)	Data 0.000 (0.001)	Loss 2.0334 (2.0690)	Prec@1 48.000 (46.923)	Prec@5 76.500 (77.440)
Test: [0/183]	Time 1.382 (1.382)	Loss 2.4519 (2.4519)	Prec@1 35.000 (35.000)	Prec@5 69.000 (69.000)
Test: [10/183]	Time 0.184 (0.296)	Loss 1.7854 (1.7203)	Prec@1 56.000 (54.227)	Prec@5 82.500 (83.773)
Test: [20/183]	Time 0.179 (0.250)	Loss 2.2111 (1.7323)	Prec@1 44.000 (53.548)	Prec@5 74.500 (83.524)
Test: [30/183]	Time 0.190 (0.233)	Loss 2.3786 (1.7643)	Prec@1 33.000 (51.919)	Prec@5 76.000 (83.452)
Test: [40/183]	Time 0.185 (0.223)	Loss 2.5036 (1.7698)	Prec@1 33.000 (52.524)	Prec@5 74.500 (82.854)
Test: [50/183]	Time 0.192 (0.217)	Loss 1.5729 (1.7291)	Prec@1 57.500 (53.539)	Prec@5 86.000 (83.422)
Test: [60/183]	Time 0.190 (0.212)	Loss 2.3458 (1.7997)	Prec@1 42.000 (51.451)	Prec@5 73.500 (82.443)
Test: [70/183]	Time 0.206 (0.211)	Loss 1.7349 (1.7756)	Prec@1 51.500 (51.923)	Prec@5 86.500 (83.162)
Test: [80/183]	Time 0.193 (0.209)	Loss 1.5436 (1.7652)	Prec@1 52.500 (51.988)	Prec@5 93.500 (83.247)
Test: [90/183]	Time 0.182 (0.206)	Loss 2.4868 (1.7607)	Prec@1 37.000 (52.335)	Prec@5 72.500 (83.313)
Test: [100/183]	Time 0.186 (0.205)	Loss 0.8823 (1.7491)	Prec@1 72.000 (52.703)	Prec@5 94.500 (83.515)
Test: [110/183]	Time 0.180 (0.204)	Loss 0.7775 (1.7460)	Prec@1 81.000 (52.775)	Prec@5 96.500 (83.523)
Test: [120/183]	Time 0.190 (0.203)	Loss 2.2066 (1.7479)	Prec@1 40.500 (52.640)	Prec@5 70.000 (83.488)
Test: [130/183]	Time 0.184 (0.202)	Loss 3.0662 (1.7584)	Prec@1 19.500 (52.405)	Prec@5 67.000 (83.508)
Test: [140/183]	Time 0.185 (0.202)	Loss 1.5319 (1.7477)	Prec@1 59.500 (52.794)	Prec@5 84.500 (83.688)
Test: [150/183]	Time 0.191 (0.201)	Loss 0.6610 (1.7421)	Prec@1 83.000 (52.907)	Prec@5 97.500 (83.765)
Test: [160/183]	Time 0.197 (0.201)	Loss 1.4860 (1.7365)	Prec@1 57.000 (53.202)	Prec@5 84.500 (83.783)
Test: [170/183]	Time 0.194 (0.201)	Loss 2.1666 (1.7519)	Prec@1 40.500 (52.804)	Prec@5 81.500 (83.541)
Test: [180/183]	Time 0.179 (0.200)	Loss 1.9487 (1.7586)	Prec@1 48.500 (52.704)	Prec@5 82.500 (83.420)
 * Prec@1 52.701 Prec@5 83.408
Epoch: [33][0/9018]	Time 2.839 (2.839)	Data 2.200 (2.200)	Loss 1.9151 (1.9151)	Prec@1 49.000 (49.000)	Prec@5 78.500 (78.500)
Epoch: [33][10/9018]	Time 0.605 (0.800)	Data 0.001 (0.201)	Loss 2.1861 (2.0706)	Prec@1 46.500 (47.545)	Prec@5 76.500 (78.000)
Epoch: [33][20/9018]	Time 0.592 (0.711)	Data 0.001 (0.105)	Loss 2.0962 (2.0396)	Prec@1 49.000 (48.119)	Prec@5 77.500 (78.238)
Epoch: [33][30/9018]	Time 0.595 (0.677)	Data 0.001 (0.072)	Loss 2.3150 (2.0745)	Prec@1 37.500 (47.242)	Prec@5 75.500 (77.887)
Epoch: [33][40/9018]	Time 0.589 (0.658)	Data 0.001 (0.054)	Loss 1.9806 (2.0843)	Prec@1 48.500 (46.866)	Prec@5 78.000 (77.500)
Epoch: [33][50/9018]	Time 0.603 (0.648)	Data 0.001 (0.044)	Loss 1.9387 (2.0582)	Prec@1 53.000 (47.324)	Prec@5 80.000 (77.892)
Epoch: [33][60/9018]	Time 0.596 (0.640)	Data 0.001 (0.037)	Loss 2.0948 (2.0539)	Prec@1 47.000 (47.221)	Prec@5 77.500 (77.836)
Epoch: [33][70/9018]	Time 0.593 (0.636)	Data 0.001 (0.032)	Loss 2.0574 (2.0494)	Prec@1 46.000 (47.289)	Prec@5 76.500 (77.951)
Epoch: [33][80/9018]	Time 0.593 (0.634)	Data 0.001 (0.028)	Loss 2.0765 (2.0432)	Prec@1 49.500 (47.469)	Prec@5 78.500 (78.025)
Epoch: [33][90/9018]	Time 0.603 (0.631)	Data 0.001 (0.025)	Loss 2.1440 (2.0462)	Prec@1 46.000 (47.566)	Prec@5 75.000 (77.945)
Epoch: [33][100/9018]	Time 0.593 (0.629)	Data 0.001 (0.023)	Loss 2.2665 (2.0513)	Prec@1 44.500 (47.292)	Prec@5 73.000 (77.926)
Epoch: [33][110/9018]	Time 0.595 (0.627)	Data 0.001 (0.021)	Loss 1.9285 (2.0506)	Prec@1 53.000 (47.347)	Prec@5 79.000 (77.937)
Epoch: [33][120/9018]	Time 0.593 (0.625)	Data 0.001 (0.019)	Loss 2.1223 (2.0464)	Prec@1 43.000 (47.459)	Prec@5 79.500 (78.029)
Epoch: [33][130/9018]	Time 0.596 (0.625)	Data 0.001 (0.018)	Loss 2.2045 (2.0469)	Prec@1 44.500 (47.546)	Prec@5 73.500 (78.000)
Epoch: [33][140/9018]	Time 0.601 (0.624)	Data 0.001 (0.016)	Loss 2.0778 (2.0421)	Prec@1 44.500 (47.713)	Prec@5 78.000 (78.078)
Epoch: [33][150/9018]	Time 0.601 (0.623)	Data 0.001 (0.015)	Loss 2.1360 (2.0497)	Prec@1 42.500 (47.523)	Prec@5 73.000 (77.921)
Epoch: [33][160/9018]	Time 0.724 (0.622)	Data 0.001 (0.014)	Loss 1.8994 (2.0531)	Prec@1 49.500 (47.547)	Prec@5 83.500 (77.957)
Epoch: [33][170/9018]	Time 0.599 (0.621)	Data 0.001 (0.014)	Loss 2.1556 (2.0510)	Prec@1 43.000 (47.596)	Prec@5 74.000 (77.944)
Epoch: [33][180/9018]	Time 0.602 (0.621)	Data 0.001 (0.013)	Loss 2.0768 (2.0520)	Prec@1 46.500 (47.580)	Prec@5 77.500 (77.865)
Epoch: [33][190/9018]	Time 0.597 (0.620)	Data 0.001 (0.012)	Loss 2.0227 (2.0532)	Prec@1 44.000 (47.495)	Prec@5 77.500 (77.809)
Epoch: [33][200/9018]	Time 0.612 (0.620)	Data 0.001 (0.012)	Loss 1.9709 (2.0525)	Prec@1 47.000 (47.517)	Prec@5 80.500 (77.811)
Epoch: [33][210/9018]	Time 0.719 (0.620)	Data 0.001 (0.011)	Loss 2.0815 (2.0537)	Prec@1 47.500 (47.505)	Prec@5 77.500 (77.739)
Epoch: [33][220/9018]	Time 0.607 (0.619)	Data 0.001 (0.011)	Loss 2.2127 (2.0545)	Prec@1 42.000 (47.495)	Prec@5 72.500 (77.658)
Epoch: [33][230/9018]	Time 0.602 (0.619)	Data 0.001 (0.010)	Loss 2.2456 (2.0542)	Prec@1 43.000 (47.535)	Prec@5 76.000 (77.669)
Epoch: [33][240/9018]	Time 0.599 (0.618)	Data 0.001 (0.010)	Loss 2.1161 (2.0526)	Prec@1 43.500 (47.529)	Prec@5 75.000 (77.703)
Epoch: [33][250/9018]	Time 0.604 (0.618)	Data 0.001 (0.010)	Loss 1.8458 (2.0511)	Prec@1 52.000 (47.516)	Prec@5 82.500 (77.743)
Epoch: [33][260/9018]	Time 0.602 (0.618)	Data 0.001 (0.009)	Loss 2.0289 (2.0507)	Prec@1 47.000 (47.498)	Prec@5 79.500 (77.739)
Epoch: [33][270/9018]	Time 0.598 (0.617)	Data 0.001 (0.009)	Loss 2.2418 (2.0554)	Prec@1 44.500 (47.375)	Prec@5 71.000 (77.625)
Epoch: [33][280/9018]	Time 0.595 (0.617)	Data 0.001 (0.009)	Loss 2.2220 (2.0564)	Prec@1 48.000 (47.354)	Prec@5 73.000 (77.603)
Epoch: [33][290/9018]	Time 0.596 (0.617)	Data 0.001 (0.008)	Loss 1.9257 (2.0561)	Prec@1 49.500 (47.368)	Prec@5 78.500 (77.615)
Epoch: [33][300/9018]	Time 0.600 (0.616)	Data 0.001 (0.008)	Loss 2.1295 (2.0575)	Prec@1 43.000 (47.301)	Prec@5 74.000 (77.580)
Epoch: [33][310/9018]	Time 0.621 (0.617)	Data 0.001 (0.008)	Loss 2.0105 (2.0554)	Prec@1 41.500 (47.288)	Prec@5 80.000 (77.630)
Epoch: [33][320/9018]	Time 0.602 (0.616)	Data 0.001 (0.008)	Loss 1.8550 (2.0541)	Prec@1 45.500 (47.302)	Prec@5 83.000 (77.682)
Epoch: [33][330/9018]	Time 0.597 (0.616)	Data 0.001 (0.007)	Loss 2.2323 (2.0559)	Prec@1 43.000 (47.258)	Prec@5 73.000 (77.666)
Epoch: [33][340/9018]	Time 0.602 (0.616)	Data 0.001 (0.007)	Loss 2.1307 (2.0552)	Prec@1 43.500 (47.277)	Prec@5 76.000 (77.679)
Epoch: [33][350/9018]	Time 0.601 (0.616)	Data 0.001 (0.007)	Loss 2.0769 (2.0537)	Prec@1 47.500 (47.289)	Prec@5 76.500 (77.708)
Epoch: [33][360/9018]	Time 0.600 (0.616)	Data 0.001 (0.007)	Loss 2.0540 (2.0519)	Prec@1 44.000 (47.346)	Prec@5 79.500 (77.730)
Epoch: [33][370/9018]	Time 0.614 (0.615)	Data 0.001 (0.007)	Loss 2.0477 (2.0511)	Prec@1 46.000 (47.330)	Prec@5 76.000 (77.751)
Epoch: [33][380/9018]	Time 0.600 (0.615)	Data 0.001 (0.007)	Loss 2.3369 (2.0533)	Prec@1 44.000 (47.294)	Prec@5 71.500 (77.732)
Epoch: [33][390/9018]	Time 0.598 (0.615)	Data 0.001 (0.006)	Loss 2.1457 (2.0542)	Prec@1 51.500 (47.301)	Prec@5 76.500 (77.698)
Epoch: [33][400/9018]	Time 0.603 (0.615)	Data 0.001 (0.006)	Loss 2.1500 (2.0537)	Prec@1 44.000 (47.289)	Prec@5 74.000 (77.714)
Epoch: [33][410/9018]	Time 0.600 (0.615)	Data 0.001 (0.006)	Loss 2.1280 (2.0546)	Prec@1 44.000 (47.276)	Prec@5 78.000 (77.695)
Epoch: [33][420/9018]	Time 0.601 (0.615)	Data 0.001 (0.006)	Loss 2.0805 (2.0542)	Prec@1 47.500 (47.280)	Prec@5 78.000 (77.697)
Epoch: [33][430/9018]	Time 0.625 (0.615)	Data 0.001 (0.006)	Loss 2.2118 (2.0545)	Prec@1 47.000 (47.292)	Prec@5 75.500 (77.688)
Epoch: [33][440/9018]	Time 0.600 (0.614)	Data 0.001 (0.006)	Loss 2.2014 (2.0550)	Prec@1 41.000 (47.289)	Prec@5 75.000 (77.692)
Epoch: [33][450/9018]	Time 0.598 (0.614)	Data 0.001 (0.006)	Loss 1.8868 (2.0527)	Prec@1 50.000 (47.317)	Prec@5 79.500 (77.722)
Epoch: [33][460/9018]	Time 0.613 (0.614)	Data 0.001 (0.006)	Loss 2.1078 (2.0515)	Prec@1 47.500 (47.350)	Prec@5 78.500 (77.740)
Epoch: [33][470/9018]	Time 0.601 (0.614)	Data 0.001 (0.005)	Loss 2.1359 (2.0528)	Prec@1 48.000 (47.344)	Prec@5 76.500 (77.709)
Epoch: [33][480/9018]	Time 0.594 (0.614)	Data 0.001 (0.005)	Loss 2.1498 (2.0539)	Prec@1 45.500 (47.310)	Prec@5 78.500 (77.695)
Epoch: [33][490/9018]	Time 0.711 (0.614)	Data 0.001 (0.005)	Loss 2.0873 (2.0534)	Prec@1 46.500 (47.316)	Prec@5 80.000 (77.691)
Epoch: [33][500/9018]	Time 0.607 (0.614)	Data 0.001 (0.005)	Loss 1.9958 (2.0549)	Prec@1 48.500 (47.269)	Prec@5 77.000 (77.646)
Epoch: [33][510/9018]	Time 0.632 (0.614)	Data 0.001 (0.005)	Loss 2.0570 (2.0562)	Prec@1 47.500 (47.234)	Prec@5 80.000 (77.623)
Epoch: [33][520/9018]	Time 0.599 (0.614)	Data 0.001 (0.005)	Loss 1.9776 (2.0564)	Prec@1 48.000 (47.228)	Prec@5 76.500 (77.616)
Epoch: [33][530/9018]	Time 0.599 (0.614)	Data 0.001 (0.005)	Loss 2.0297 (2.0550)	Prec@1 48.000 (47.264)	Prec@5 78.000 (77.639)
Epoch: [33][540/9018]	Time 0.723 (0.614)	Data 0.001 (0.005)	Loss 1.9953 (2.0556)	Prec@1 52.000 (47.265)	Prec@5 78.500 (77.630)
Epoch: [33][550/9018]	Time 0.608 (0.613)	Data 0.001 (0.005)	Loss 1.9480 (2.0558)	Prec@1 47.500 (47.252)	Prec@5 79.000 (77.631)
Epoch: [33][560/9018]	Time 0.617 (0.613)	Data 0.001 (0.005)	Loss 2.1786 (2.0556)	Prec@1 41.500 (47.230)	Prec@5 76.000 (77.619)
Epoch: [33][570/9018]	Time 0.600 (0.613)	Data 0.001 (0.005)	Loss 2.3387 (2.0546)	Prec@1 43.500 (47.224)	Prec@5 77.000 (77.649)
Epoch: [33][580/9018]	Time 0.593 (0.613)	Data 0.001 (0.005)	Loss 2.0956 (2.0553)	Prec@1 44.000 (47.213)	Prec@5 78.500 (77.635)
Epoch: [33][590/9018]	Time 0.603 (0.613)	Data 0.001 (0.004)	Loss 1.8688 (2.0550)	Prec@1 49.500 (47.228)	Prec@5 82.500 (77.656)
Epoch: [33][600/9018]	Time 0.610 (0.613)	Data 0.001 (0.004)	Loss 2.1493 (2.0555)	Prec@1 47.000 (47.224)	Prec@5 77.000 (77.636)
Epoch: [33][610/9018]	Time 0.592 (0.613)	Data 0.001 (0.004)	Loss 2.0517 (2.0563)	Prec@1 46.000 (47.207)	Prec@5 75.000 (77.623)
Epoch: [33][620/9018]	Time 0.593 (0.613)	Data 0.001 (0.004)	Loss 2.0276 (2.0559)	Prec@1 48.500 (47.225)	Prec@5 76.000 (77.630)
Epoch: [33][630/9018]	Time 0.602 (0.613)	Data 0.001 (0.004)	Loss 1.9907 (2.0558)	Prec@1 49.000 (47.234)	Prec@5 79.500 (77.630)
Epoch: [33][640/9018]	Time 0.599 (0.613)	Data 0.001 (0.004)	Loss 2.0626 (2.0555)	Prec@1 50.000 (47.251)	Prec@5 78.000 (77.651)
Epoch: [33][650/9018]	Time 0.607 (0.613)	Data 0.001 (0.004)	Loss 2.0309 (2.0550)	Prec@1 46.000 (47.253)	Prec@5 78.500 (77.656)
Epoch: [33][660/9018]	Time 0.596 (0.613)	Data 0.001 (0.004)	Loss 2.0246 (2.0549)	Prec@1 49.500 (47.264)	Prec@5 77.000 (77.666)
Epoch: [33][670/9018]	Time 0.598 (0.613)	Data 0.001 (0.004)	Loss 1.9280 (2.0541)	Prec@1 48.500 (47.259)	Prec@5 85.000 (77.700)
Epoch: [33][680/9018]	Time 0.595 (0.613)	Data 0.001 (0.004)	Loss 2.3172 (2.0551)	Prec@1 42.000 (47.250)	Prec@5 72.000 (77.690)
Epoch: [33][690/9018]	Time 0.595 (0.613)	Data 0.001 (0.004)	Loss 2.0061 (2.0542)	Prec@1 49.000 (47.287)	Prec@5 76.000 (77.698)
Epoch: [33][700/9018]	Time 0.604 (0.612)	Data 0.001 (0.004)	Loss 1.9541 (2.0541)	Prec@1 51.500 (47.289)	Prec@5 82.000 (77.701)
Epoch: [33][710/9018]	Time 0.589 (0.613)	Data 0.001 (0.004)	Loss 2.0693 (2.0546)	Prec@1 46.000 (47.286)	Prec@5 79.000 (77.686)
Epoch: [33][720/9018]	Time 0.597 (0.612)	Data 0.001 (0.004)	Loss 2.1399 (2.0544)	Prec@1 46.000 (47.300)	Prec@5 77.500 (77.693)
Epoch: [33][730/9018]	Time 0.619 (0.612)	Data 0.001 (0.004)	Loss 1.9115 (2.0539)	Prec@1 50.500 (47.324)	Prec@5 83.500 (77.709)
Epoch: [33][740/9018]	Time 0.593 (0.612)	Data 0.001 (0.004)	Loss 2.0420 (2.0537)	Prec@1 45.500 (47.304)	Prec@5 79.000 (77.711)
Epoch: [33][750/9018]	Time 0.601 (0.612)	Data 0.001 (0.004)	Loss 2.0586 (2.0539)	Prec@1 46.500 (47.298)	Prec@5 77.000 (77.704)
Epoch: [33][760/9018]	Time 0.592 (0.612)	Data 0.001 (0.004)	Loss 2.1193 (2.0542)	Prec@1 49.500 (47.291)	Prec@5 75.500 (77.697)
Epoch: [33][770/9018]	Time 0.595 (0.612)	Data 0.001 (0.004)	Loss 1.9644 (2.0543)	Prec@1 47.000 (47.267)	Prec@5 81.500 (77.698)
Epoch: [33][780/9018]	Time 0.593 (0.612)	Data 0.001 (0.004)	Loss 2.0081 (2.0549)	Prec@1 44.500 (47.252)	Prec@5 75.000 (77.679)
Epoch: [33][790/9018]	Time 0.605 (0.612)	Data 0.001 (0.004)	Loss 1.8755 (2.0545)	Prec@1 51.000 (47.247)	Prec@5 82.000 (77.694)
Epoch: [33][800/9018]	Time 0.590 (0.612)	Data 0.001 (0.004)	Loss 2.0768 (2.0548)	Prec@1 49.500 (47.238)	Prec@5 76.500 (77.682)
Epoch: [33][810/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 2.1284 (2.0547)	Prec@1 49.000 (47.254)	Prec@5 74.000 (77.686)
Epoch: [33][820/9018]	Time 0.720 (0.612)	Data 0.001 (0.003)	Loss 1.9918 (2.0549)	Prec@1 44.500 (47.232)	Prec@5 79.500 (77.689)
Epoch: [33][830/9018]	Time 0.611 (0.612)	Data 0.001 (0.003)	Loss 1.7759 (2.0545)	Prec@1 53.500 (47.246)	Prec@5 83.500 (77.698)
Epoch: [33][840/9018]	Time 0.614 (0.612)	Data 0.001 (0.003)	Loss 1.8206 (2.0533)	Prec@1 52.000 (47.268)	Prec@5 84.000 (77.712)
Epoch: [33][850/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 1.9617 (2.0536)	Prec@1 50.000 (47.283)	Prec@5 80.000 (77.694)
Epoch: [33][860/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 2.1596 (2.0526)	Prec@1 48.500 (47.317)	Prec@5 76.500 (77.711)
Epoch: [33][870/9018]	Time 0.713 (0.612)	Data 0.001 (0.003)	Loss 1.9506 (2.0523)	Prec@1 49.000 (47.328)	Prec@5 80.000 (77.722)
Epoch: [33][880/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 2.0456 (2.0514)	Prec@1 49.000 (47.352)	Prec@5 77.000 (77.734)
Epoch: [33][890/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 1.9735 (2.0513)	Prec@1 46.500 (47.341)	Prec@5 79.000 (77.730)
Epoch: [33][900/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 2.1765 (2.0512)	Prec@1 45.500 (47.334)	Prec@5 78.000 (77.736)
Epoch: [33][910/9018]	Time 0.606 (0.612)	Data 0.001 (0.003)	Loss 1.9130 (2.0511)	Prec@1 45.500 (47.329)	Prec@5 83.000 (77.739)
Epoch: [33][920/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 1.8477 (2.0508)	Prec@1 52.500 (47.332)	Prec@5 80.000 (77.750)
Epoch: [33][930/9018]	Time 0.594 (0.611)	Data 0.001 (0.003)	Loss 2.0679 (2.0511)	Prec@1 50.000 (47.327)	Prec@5 76.000 (77.748)
Epoch: [33][940/9018]	Time 0.612 (0.612)	Data 0.001 (0.003)	Loss 1.9798 (2.0503)	Prec@1 52.000 (47.344)	Prec@5 80.000 (77.765)
Epoch: [33][950/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 2.2107 (2.0500)	Prec@1 47.500 (47.358)	Prec@5 72.000 (77.768)
Epoch: [33][960/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 1.9119 (2.0494)	Prec@1 49.500 (47.365)	Prec@5 79.000 (77.781)
Epoch: [33][970/9018]	Time 0.590 (0.611)	Data 0.001 (0.003)	Loss 1.9349 (2.0496)	Prec@1 51.000 (47.371)	Prec@5 78.000 (77.763)
Epoch: [33][980/9018]	Time 0.602 (0.611)	Data 0.001 (0.003)	Loss 2.2716 (2.0497)	Prec@1 44.500 (47.371)	Prec@5 70.000 (77.757)
Epoch: [33][990/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 2.1657 (2.0492)	Prec@1 46.500 (47.380)	Prec@5 71.000 (77.758)
Epoch: [33][1000/9018]	Time 0.607 (0.611)	Data 0.001 (0.003)	Loss 1.9349 (2.0490)	Prec@1 48.500 (47.372)	Prec@5 81.500 (77.770)
Epoch: [33][1010/9018]	Time 0.592 (0.611)	Data 0.001 (0.003)	Loss 2.1838 (2.0493)	Prec@1 43.500 (47.371)	Prec@5 77.500 (77.766)
Epoch: [33][1020/9018]	Time 0.597 (0.611)	Data 0.001 (0.003)	Loss 1.9464 (2.0494)	Prec@1 52.000 (47.381)	Prec@5 80.500 (77.765)
Epoch: [33][1030/9018]	Time 0.609 (0.611)	Data 0.001 (0.003)	Loss 1.8576 (2.0498)	Prec@1 53.000 (47.384)	Prec@5 80.000 (77.760)
Epoch: [33][1040/9018]	Time 0.590 (0.611)	Data 0.001 (0.003)	Loss 2.0110 (2.0499)	Prec@1 49.500 (47.392)	Prec@5 77.500 (77.768)
Epoch: [33][1050/9018]	Time 0.605 (0.611)	Data 0.001 (0.003)	Loss 2.3442 (2.0497)	Prec@1 46.000 (47.392)	Prec@5 70.500 (77.773)
Epoch: [33][1060/9018]	Time 0.595 (0.611)	Data 0.001 (0.003)	Loss 2.1914 (2.0501)	Prec@1 45.000 (47.378)	Prec@5 75.000 (77.765)
Epoch: [33][1070/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 2.0161 (2.0500)	Prec@1 50.500 (47.377)	Prec@5 74.000 (77.757)
Epoch: [33][1080/9018]	Time 0.607 (0.611)	Data 0.001 (0.003)	Loss 1.9756 (2.0503)	Prec@1 49.000 (47.372)	Prec@5 78.500 (77.756)
Epoch: [33][1090/9018]	Time 0.589 (0.611)	Data 0.001 (0.003)	Loss 2.3657 (2.0506)	Prec@1 44.500 (47.366)	Prec@5 73.000 (77.760)
Epoch: [33][1100/9018]	Time 0.598 (0.611)	Data 0.001 (0.003)	Loss 1.9975 (2.0501)	Prec@1 49.000 (47.386)	Prec@5 80.500 (77.772)
Epoch: [33][1110/9018]	Time 0.604 (0.611)	Data 0.001 (0.003)	Loss 2.1753 (2.0499)	Prec@1 42.500 (47.386)	Prec@5 79.000 (77.784)
Epoch: [33][1120/9018]	Time 0.611 (0.611)	Data 0.001 (0.003)	Loss 2.0622 (2.0506)	Prec@1 43.500 (47.355)	Prec@5 77.000 (77.781)
Epoch: [33][1130/9018]	Time 0.604 (0.611)	Data 0.001 (0.003)	Loss 2.2909 (2.0508)	Prec@1 41.500 (47.357)	Prec@5 74.000 (77.780)
Epoch: [33][1140/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 2.0137 (2.0507)	Prec@1 49.500 (47.362)	Prec@5 73.000 (77.766)
Epoch: [33][1150/9018]	Time 0.721 (0.611)	Data 0.001 (0.003)	Loss 2.1790 (2.0504)	Prec@1 48.000 (47.374)	Prec@5 76.000 (77.775)
Epoch: [33][1160/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 1.9891 (2.0506)	Prec@1 50.000 (47.369)	Prec@5 80.000 (77.772)
Epoch: [33][1170/9018]	Time 0.595 (0.611)	Data 0.001 (0.003)	Loss 2.0166 (2.0500)	Prec@1 47.500 (47.367)	Prec@5 78.500 (77.776)
Epoch: [33][1180/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 1.9697 (2.0500)	Prec@1 50.000 (47.367)	Prec@5 78.000 (77.772)
Epoch: [33][1190/9018]	Time 0.596 (0.611)	Data 0.001 (0.003)	Loss 1.9621 (2.0498)	Prec@1 48.000 (47.382)	Prec@5 79.500 (77.783)
Epoch: [33][1200/9018]	Time 0.736 (0.611)	Data 0.001 (0.003)	Loss 1.9462 (2.0501)	Prec@1 53.500 (47.378)	Prec@5 80.000 (77.776)
Epoch: [33][1210/9018]	Time 0.602 (0.611)	Data 0.001 (0.003)	Loss 1.9903 (2.0501)	Prec@1 46.000 (47.373)	Prec@5 80.500 (77.774)
Epoch: [33][1220/9018]	Time 0.620 (0.611)	Data 0.001 (0.003)	Loss 1.9952 (2.0498)	Prec@1 50.500 (47.371)	Prec@5 80.000 (77.784)
Epoch: [33][1230/9018]	Time 0.594 (0.611)	Data 0.001 (0.003)	Loss 2.2301 (2.0500)	Prec@1 44.500 (47.377)	Prec@5 75.000 (77.778)
Epoch: [33][1240/9018]	Time 0.596 (0.611)	Data 0.001 (0.003)	Loss 1.9443 (2.0498)	Prec@1 46.000 (47.379)	Prec@5 81.000 (77.783)
Epoch: [33][1250/9018]	Time 0.603 (0.611)	Data 0.001 (0.003)	Loss 2.2052 (2.0501)	Prec@1 39.500 (47.369)	Prec@5 75.500 (77.774)
Epoch: [33][1260/9018]	Time 0.604 (0.611)	Data 0.001 (0.003)	Loss 2.0781 (2.0502)	Prec@1 42.500 (47.364)	Prec@5 78.500 (77.773)
Epoch: [33][1270/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.0200 (2.0501)	Prec@1 50.500 (47.365)	Prec@5 78.000 (77.776)
Epoch: [33][1280/9018]	Time 0.623 (0.611)	Data 0.001 (0.002)	Loss 1.8720 (2.0504)	Prec@1 47.500 (47.347)	Prec@5 83.000 (77.775)
Epoch: [33][1290/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.9515 (2.0500)	Prec@1 51.500 (47.362)	Prec@5 80.500 (77.782)
Epoch: [33][1300/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.1691 (2.0499)	Prec@1 46.500 (47.365)	Prec@5 75.500 (77.779)
Epoch: [33][1310/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.1160 (2.0494)	Prec@1 47.500 (47.382)	Prec@5 81.000 (77.792)
Epoch: [33][1320/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.9613 (2.0495)	Prec@1 48.500 (47.371)	Prec@5 81.000 (77.796)
Epoch: [33][1330/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 2.2089 (2.0494)	Prec@1 47.000 (47.376)	Prec@5 72.500 (77.805)
Epoch: [33][1340/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.2124 (2.0498)	Prec@1 44.500 (47.362)	Prec@5 74.000 (77.797)
Epoch: [33][1350/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.0078 (2.0494)	Prec@1 46.000 (47.369)	Prec@5 79.000 (77.809)
Epoch: [33][1360/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.2493 (2.0496)	Prec@1 40.500 (47.355)	Prec@5 73.000 (77.798)
Epoch: [33][1370/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.0408 (2.0497)	Prec@1 45.500 (47.353)	Prec@5 79.500 (77.797)
Epoch: [33][1380/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.0373 (2.0501)	Prec@1 44.000 (47.351)	Prec@5 81.000 (77.791)
Epoch: [33][1390/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.2428 (2.0499)	Prec@1 45.000 (47.351)	Prec@5 76.500 (77.789)
Epoch: [33][1400/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.1858 (2.0502)	Prec@1 49.500 (47.353)	Prec@5 76.500 (77.793)
Epoch: [33][1410/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.1687 (2.0505)	Prec@1 42.000 (47.348)	Prec@5 74.000 (77.787)
Epoch: [33][1420/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9963 (2.0501)	Prec@1 46.500 (47.346)	Prec@5 78.000 (77.796)
Epoch: [33][1430/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 2.1205 (2.0502)	Prec@1 44.000 (47.343)	Prec@5 76.500 (77.799)
Epoch: [33][1440/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.2587 (2.0505)	Prec@1 44.000 (47.337)	Prec@5 74.500 (77.795)
Epoch: [33][1450/9018]	Time 0.626 (0.611)	Data 0.001 (0.002)	Loss 2.0177 (2.0506)	Prec@1 47.500 (47.335)	Prec@5 74.500 (77.804)
Epoch: [33][1460/9018]	Time 0.617 (0.611)	Data 0.001 (0.002)	Loss 2.4641 (2.0509)	Prec@1 41.500 (47.334)	Prec@5 76.000 (77.807)
Epoch: [33][1470/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.1238 (2.0511)	Prec@1 48.000 (47.332)	Prec@5 76.500 (77.805)
Epoch: [33][1480/9018]	Time 0.717 (0.611)	Data 0.001 (0.002)	Loss 2.0716 (2.0511)	Prec@1 45.000 (47.330)	Prec@5 76.500 (77.799)
Epoch: [33][1490/9018]	Time 0.614 (0.610)	Data 0.001 (0.002)	Loss 2.0578 (2.0507)	Prec@1 52.000 (47.345)	Prec@5 77.500 (77.808)
Epoch: [33][1500/9018]	Time 0.631 (0.611)	Data 0.001 (0.002)	Loss 2.1138 (2.0508)	Prec@1 47.000 (47.345)	Prec@5 80.000 (77.804)
Epoch: [33][1510/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.9655 (2.0510)	Prec@1 51.000 (47.338)	Prec@5 77.500 (77.797)
Epoch: [33][1520/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 1.9941 (2.0510)	Prec@1 47.000 (47.326)	Prec@5 78.000 (77.798)
Epoch: [33][1530/9018]	Time 0.722 (0.611)	Data 0.001 (0.002)	Loss 2.2867 (2.0512)	Prec@1 40.500 (47.314)	Prec@5 73.500 (77.788)
Epoch: [33][1540/9018]	Time 0.596 (0.610)	Data 0.001 (0.002)	Loss 1.9941 (2.0512)	Prec@1 48.000 (47.310)	Prec@5 81.000 (77.791)
Epoch: [33][1550/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9879 (2.0511)	Prec@1 45.000 (47.313)	Prec@5 80.500 (77.795)
Epoch: [33][1560/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.9840 (2.0509)	Prec@1 49.500 (47.317)	Prec@5 79.000 (77.799)
Epoch: [33][1570/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.2813 (2.0510)	Prec@1 42.500 (47.309)	Prec@5 72.000 (77.796)
Epoch: [33][1580/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.1041 (2.0507)	Prec@1 46.000 (47.314)	Prec@5 77.500 (77.807)
Epoch: [33][1590/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.9756 (2.0507)	Prec@1 46.500 (47.305)	Prec@5 80.500 (77.800)
Epoch: [33][1600/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 1.9423 (2.0508)	Prec@1 51.000 (47.305)	Prec@5 77.500 (77.794)
Epoch: [33][1610/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.1072 (2.0511)	Prec@1 43.500 (47.296)	Prec@5 76.500 (77.791)
Epoch: [33][1620/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 1.8873 (2.0508)	Prec@1 47.000 (47.307)	Prec@5 79.500 (77.796)
Epoch: [33][1630/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 2.0039 (2.0511)	Prec@1 48.500 (47.301)	Prec@5 80.000 (77.792)
Epoch: [33][1640/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 2.2881 (2.0514)	Prec@1 44.000 (47.296)	Prec@5 74.500 (77.782)
Epoch: [33][1650/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.1941 (2.0514)	Prec@1 45.000 (47.296)	Prec@5 74.000 (77.785)
Epoch: [33][1660/9018]	Time 0.606 (0.610)	Data 0.001 (0.002)	Loss 2.0815 (2.0519)	Prec@1 44.500 (47.277)	Prec@5 80.000 (77.778)
Epoch: [33][1670/9018]	Time 0.593 (0.610)	Data 0.001 (0.002)	Loss 2.0841 (2.0524)	Prec@1 46.000 (47.272)	Prec@5 79.000 (77.768)
Epoch: [33][1680/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.0674 (2.0524)	Prec@1 50.500 (47.274)	Prec@5 74.500 (77.768)
Epoch: [33][1690/9018]	Time 0.614 (0.610)	Data 0.001 (0.002)	Loss 2.2123 (2.0526)	Prec@1 38.500 (47.273)	Prec@5 77.000 (77.762)
Epoch: [33][1700/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.0150 (2.0527)	Prec@1 50.000 (47.277)	Prec@5 76.500 (77.758)
Epoch: [33][1710/9018]	Time 0.591 (0.610)	Data 0.001 (0.002)	Loss 2.0450 (2.0531)	Prec@1 50.000 (47.273)	Prec@5 78.000 (77.752)
Epoch: [33][1720/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.0556 (2.0530)	Prec@1 45.500 (47.272)	Prec@5 78.000 (77.752)
Epoch: [33][1730/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 2.0430 (2.0526)	Prec@1 42.500 (47.285)	Prec@5 78.000 (77.753)
Epoch: [33][1740/9018]	Time 0.609 (0.610)	Data 0.001 (0.002)	Loss 2.2491 (2.0531)	Prec@1 46.000 (47.275)	Prec@5 72.000 (77.746)
Epoch: [33][1750/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.9671 (2.0534)	Prec@1 51.000 (47.277)	Prec@5 77.000 (77.738)
Epoch: [33][1760/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.2250 (2.0538)	Prec@1 46.000 (47.261)	Prec@5 77.000 (77.736)
Epoch: [33][1770/9018]	Time 0.594 (0.610)	Data 0.001 (0.002)	Loss 2.0492 (2.0539)	Prec@1 49.000 (47.260)	Prec@5 76.500 (77.732)
Epoch: [33][1780/9018]	Time 0.631 (0.610)	Data 0.001 (0.002)	Loss 1.9780 (2.0542)	Prec@1 50.500 (47.256)	Prec@5 78.000 (77.719)
Epoch: [33][1790/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 2.2537 (2.0543)	Prec@1 46.500 (47.250)	Prec@5 71.500 (77.718)
Epoch: [33][1800/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.4438 (2.0548)	Prec@1 40.000 (47.237)	Prec@5 71.000 (77.711)
Epoch: [33][1810/9018]	Time 0.719 (0.610)	Data 0.001 (0.002)	Loss 2.0588 (2.0548)	Prec@1 51.500 (47.250)	Prec@5 76.500 (77.709)
Epoch: [33][1820/9018]	Time 0.625 (0.610)	Data 0.001 (0.002)	Loss 1.9100 (2.0548)	Prec@1 52.500 (47.244)	Prec@5 81.000 (77.706)
Epoch: [33][1830/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 1.9617 (2.0551)	Prec@1 46.500 (47.236)	Prec@5 77.500 (77.699)
Epoch: [33][1840/9018]	Time 0.596 (0.610)	Data 0.001 (0.002)	Loss 2.1153 (2.0554)	Prec@1 43.500 (47.230)	Prec@5 74.500 (77.694)
Epoch: [33][1850/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.2275 (2.0552)	Prec@1 43.500 (47.236)	Prec@5 77.000 (77.701)
Epoch: [33][1860/9018]	Time 0.713 (0.610)	Data 0.001 (0.002)	Loss 2.2206 (2.0556)	Prec@1 46.500 (47.228)	Prec@5 72.500 (77.695)
Epoch: [33][1870/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 2.0491 (2.0558)	Prec@1 49.000 (47.222)	Prec@5 76.500 (77.685)
Epoch: [33][1880/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.0891 (2.0558)	Prec@1 46.500 (47.225)	Prec@5 74.500 (77.684)
Epoch: [33][1890/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 2.0473 (2.0556)	Prec@1 48.500 (47.232)	Prec@5 77.500 (77.684)
Epoch: [33][1900/9018]	Time 0.613 (0.610)	Data 0.001 (0.002)	Loss 1.9362 (2.0558)	Prec@1 55.500 (47.238)	Prec@5 79.500 (77.682)
Epoch: [33][1910/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 1.9645 (2.0558)	Prec@1 46.000 (47.233)	Prec@5 79.500 (77.679)
Epoch: [33][1920/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 1.8159 (2.0559)	Prec@1 54.500 (47.230)	Prec@5 81.500 (77.679)
Epoch: [33][1930/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 2.0580 (2.0561)	Prec@1 49.500 (47.224)	Prec@5 80.000 (77.675)
Epoch: [33][1940/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.9109 (2.0557)	Prec@1 50.500 (47.230)	Prec@5 86.500 (77.681)
Epoch: [33][1950/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.9030 (2.0555)	Prec@1 53.500 (47.236)	Prec@5 80.500 (77.683)
Epoch: [33][1960/9018]	Time 0.631 (0.610)	Data 0.001 (0.002)	Loss 2.0958 (2.0551)	Prec@1 48.000 (47.250)	Prec@5 76.000 (77.687)
Epoch: [33][1970/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 2.1338 (2.0547)	Prec@1 45.500 (47.256)	Prec@5 74.500 (77.690)
Epoch: [33][1980/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.2346 (2.0547)	Prec@1 41.500 (47.252)	Prec@5 73.500 (77.692)
Epoch: [33][1990/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 2.0031 (2.0546)	Prec@1 50.000 (47.256)	Prec@5 78.500 (77.695)
Epoch: [33][2000/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 1.8561 (2.0543)	Prec@1 50.500 (47.261)	Prec@5 81.500 (77.699)
Epoch: [33][2010/9018]	Time 0.591 (0.610)	Data 0.001 (0.002)	Loss 2.3016 (2.0542)	Prec@1 46.500 (47.260)	Prec@5 73.500 (77.703)
Epoch: [33][2020/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 1.9765 (2.0542)	Prec@1 46.500 (47.261)	Prec@5 80.000 (77.707)
Epoch: [33][2030/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 2.0302 (2.0543)	Prec@1 42.000 (47.256)	Prec@5 79.000 (77.705)
Epoch: [33][2040/9018]	Time 0.605 (0.610)	Data 0.001 (0.002)	Loss 2.1977 (2.0543)	Prec@1 43.500 (47.254)	Prec@5 74.000 (77.703)
Epoch: [33][2050/9018]	Time 0.610 (0.610)	Data 0.001 (0.002)	Loss 1.8758 (2.0542)	Prec@1 52.500 (47.246)	Prec@5 77.500 (77.702)
Epoch: [33][2060/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 2.2247 (2.0546)	Prec@1 47.000 (47.237)	Prec@5 75.000 (77.695)
Epoch: [33][2070/9018]	Time 0.625 (0.610)	Data 0.001 (0.002)	Loss 1.9880 (2.0548)	Prec@1 47.000 (47.230)	Prec@5 78.500 (77.686)
Epoch: [33][2080/9018]	Time 0.621 (0.610)	Data 0.001 (0.002)	Loss 2.1100 (2.0548)	Prec@1 48.000 (47.236)	Prec@5 76.500 (77.682)
Epoch: [33][2090/9018]	Time 0.592 (0.610)	Data 0.001 (0.002)	Loss 1.8628 (2.0544)	Prec@1 51.500 (47.248)	Prec@5 83.000 (77.689)
Epoch: [33][2100/9018]	Time 0.606 (0.610)	Data 0.001 (0.002)	Loss 2.2150 (2.0546)	Prec@1 42.500 (47.245)	Prec@5 74.500 (77.686)
Epoch: [33][2110/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.9036 (2.0547)	Prec@1 50.000 (47.243)	Prec@5 84.000 (77.682)
Epoch: [33][2120/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 2.3028 (2.0549)	Prec@1 43.500 (47.234)	Prec@5 71.500 (77.678)
Epoch: [33][2130/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 1.9973 (2.0550)	Prec@1 41.000 (47.227)	Prec@5 78.500 (77.681)
Epoch: [33][2140/9018]	Time 0.731 (0.610)	Data 0.001 (0.002)	Loss 2.1923 (2.0555)	Prec@1 46.500 (47.222)	Prec@5 75.000 (77.674)
Epoch: [33][2150/9018]	Time 0.593 (0.610)	Data 0.001 (0.002)	Loss 1.9505 (2.0558)	Prec@1 51.500 (47.213)	Prec@5 80.000 (77.668)
Epoch: [33][2160/9018]	Time 0.628 (0.610)	Data 0.001 (0.002)	Loss 2.1051 (2.0557)	Prec@1 49.500 (47.215)	Prec@5 75.000 (77.666)
Epoch: [33][2170/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 1.9509 (2.0559)	Prec@1 51.000 (47.217)	Prec@5 81.000 (77.660)
Epoch: [33][2180/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 2.0951 (2.0556)	Prec@1 49.000 (47.220)	Prec@5 78.500 (77.666)
Epoch: [33][2190/9018]	Time 0.706 (0.610)	Data 0.001 (0.002)	Loss 2.0784 (2.0558)	Prec@1 47.000 (47.213)	Prec@5 78.000 (77.662)
Epoch: [33][2200/9018]	Time 0.613 (0.610)	Data 0.001 (0.002)	Loss 2.1531 (2.0555)	Prec@1 51.000 (47.224)	Prec@5 76.500 (77.665)
Epoch: [33][2210/9018]	Time 0.627 (0.610)	Data 0.001 (0.002)	Loss 1.9222 (2.0556)	Prec@1 44.000 (47.219)	Prec@5 83.500 (77.664)
Epoch: [33][2220/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.1625 (2.0554)	Prec@1 39.500 (47.214)	Prec@5 76.500 (77.669)
Epoch: [33][2230/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.1588 (2.0553)	Prec@1 43.500 (47.214)	Prec@5 72.500 (77.672)
Epoch: [33][2240/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.2475 (2.0552)	Prec@1 44.000 (47.216)	Prec@5 74.000 (77.675)
Epoch: [33][2250/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 2.2865 (2.0555)	Prec@1 39.000 (47.209)	Prec@5 76.000 (77.667)
Epoch: [33][2260/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 2.0811 (2.0558)	Prec@1 46.500 (47.205)	Prec@5 78.500 (77.662)
Epoch: [33][2270/9018]	Time 0.625 (0.610)	Data 0.001 (0.002)	Loss 2.0514 (2.0557)	Prec@1 47.000 (47.202)	Prec@5 78.000 (77.662)
Epoch: [33][2280/9018]	Time 0.590 (0.610)	Data 0.001 (0.002)	Loss 2.1618 (2.0559)	Prec@1 42.500 (47.195)	Prec@5 74.500 (77.657)
Epoch: [33][2290/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 2.1055 (2.0558)	Prec@1 49.500 (47.198)	Prec@5 75.500 (77.660)
Epoch: [33][2300/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.3055 (2.0558)	Prec@1 48.000 (47.204)	Prec@5 76.000 (77.659)
Epoch: [33][2310/9018]	Time 0.605 (0.610)	Data 0.001 (0.002)	Loss 2.0210 (2.0555)	Prec@1 46.500 (47.209)	Prec@5 82.000 (77.666)
Epoch: [33][2320/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 1.9527 (2.0557)	Prec@1 53.000 (47.204)	Prec@5 81.000 (77.662)
Epoch: [33][2330/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 2.4944 (2.0557)	Prec@1 42.500 (47.198)	Prec@5 67.000 (77.659)
Epoch: [33][2340/9018]	Time 0.613 (0.610)	Data 0.001 (0.002)	Loss 2.2920 (2.0558)	Prec@1 40.000 (47.196)	Prec@5 73.000 (77.657)
Epoch: [33][2350/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.0462 (2.0558)	Prec@1 45.000 (47.192)	Prec@5 80.500 (77.662)
Epoch: [33][2360/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 1.8782 (2.0558)	Prec@1 49.500 (47.189)	Prec@5 81.000 (77.668)
Epoch: [33][2370/9018]	Time 0.628 (0.610)	Data 0.001 (0.002)	Loss 2.0645 (2.0556)	Prec@1 47.500 (47.196)	Prec@5 77.000 (77.672)
Epoch: [33][2380/9018]	Time 0.633 (0.610)	Data 0.001 (0.002)	Loss 2.0598 (2.0557)	Prec@1 45.000 (47.187)	Prec@5 79.500 (77.673)
Epoch: [33][2390/9018]	Time 0.604 (0.610)	Data 0.001 (0.002)	Loss 2.1769 (2.0558)	Prec@1 45.000 (47.183)	Prec@5 75.000 (77.669)
Epoch: [33][2400/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.0858 (2.0555)	Prec@1 48.000 (47.187)	Prec@5 79.500 (77.676)
Epoch: [33][2410/9018]	Time 0.590 (0.610)	Data 0.001 (0.002)	Loss 2.0046 (2.0553)	Prec@1 48.000 (47.190)	Prec@5 73.500 (77.677)
Epoch: [33][2420/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.1345 (2.0554)	Prec@1 47.500 (47.189)	Prec@5 79.000 (77.678)
Epoch: [33][2430/9018]	Time 0.590 (0.610)	Data 0.001 (0.002)	Loss 2.0064 (2.0556)	Prec@1 49.000 (47.186)	Prec@5 76.500 (77.672)
Epoch: [33][2440/9018]	Time 0.592 (0.610)	Data 0.001 (0.002)	Loss 2.1316 (2.0556)	Prec@1 44.000 (47.179)	Prec@5 78.000 (77.672)
Epoch: [33][2450/9018]	Time 0.615 (0.610)	Data 0.001 (0.002)	Loss 2.0220 (2.0557)	Prec@1 49.000 (47.180)	Prec@5 77.500 (77.671)
Epoch: [33][2460/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.1110 (2.0559)	Prec@1 51.500 (47.178)	Prec@5 74.500 (77.666)
Epoch: [33][2470/9018]	Time 0.720 (0.610)	Data 0.001 (0.002)	Loss 1.9867 (2.0560)	Prec@1 48.500 (47.173)	Prec@5 74.500 (77.659)
Epoch: [33][2480/9018]	Time 0.608 (0.610)	Data 0.001 (0.002)	Loss 2.1362 (2.0562)	Prec@1 46.500 (47.173)	Prec@5 72.500 (77.652)
Epoch: [33][2490/9018]	Time 0.591 (0.610)	Data 0.001 (0.002)	Loss 1.7903 (2.0561)	Prec@1 54.500 (47.175)	Prec@5 81.500 (77.653)
Epoch: [33][2500/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.1377 (2.0560)	Prec@1 42.500 (47.176)	Prec@5 75.000 (77.658)
Epoch: [33][2510/9018]	Time 0.592 (0.610)	Data 0.001 (0.002)	Loss 2.0063 (2.0560)	Prec@1 49.500 (47.179)	Prec@5 77.500 (77.661)
Epoch: [33][2520/9018]	Time 0.715 (0.610)	Data 0.001 (0.002)	Loss 2.1224 (2.0560)	Prec@1 43.500 (47.179)	Prec@5 79.000 (77.660)
Epoch: [33][2530/9018]	Time 0.621 (0.610)	Data 0.001 (0.002)	Loss 1.9810 (2.0558)	Prec@1 54.000 (47.183)	Prec@5 77.000 (77.658)
Epoch: [33][2540/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.1652 (2.0559)	Prec@1 48.000 (47.185)	Prec@5 76.000 (77.657)
Epoch: [33][2550/9018]	Time 0.593 (0.610)	Data 0.001 (0.002)	Loss 2.1135 (2.0561)	Prec@1 46.000 (47.184)	Prec@5 76.500 (77.653)
Epoch: [33][2560/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.0443 (2.0561)	Prec@1 45.500 (47.187)	Prec@5 76.000 (77.652)
Epoch: [33][2570/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 1.9671 (2.0558)	Prec@1 47.500 (47.192)	Prec@5 81.500 (77.656)
Epoch: [33][2580/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.4060 (2.0559)	Prec@1 39.500 (47.186)	Prec@5 69.000 (77.656)
Epoch: [33][2590/9018]	Time 0.615 (0.610)	Data 0.001 (0.002)	Loss 2.0374 (2.0561)	Prec@1 43.000 (47.182)	Prec@5 79.000 (77.651)
Epoch: [33][2600/9018]	Time 0.608 (0.610)	Data 0.001 (0.002)	Loss 2.1328 (2.0560)	Prec@1 46.500 (47.185)	Prec@5 77.500 (77.648)
Epoch: [33][2610/9018]	Time 0.622 (0.610)	Data 0.001 (0.002)	Loss 2.1005 (2.0561)	Prec@1 43.000 (47.181)	Prec@5 79.500 (77.654)
Epoch: [33][2620/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.9403 (2.0560)	Prec@1 49.500 (47.184)	Prec@5 79.500 (77.654)
Epoch: [33][2630/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 1.9033 (2.0561)	Prec@1 51.500 (47.181)	Prec@5 82.000 (77.655)
Epoch: [33][2640/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 1.9159 (2.0559)	Prec@1 52.500 (47.182)	Prec@5 81.000 (77.659)
Epoch: [33][2650/9018]	Time 0.617 (0.610)	Data 0.001 (0.002)	Loss 1.8923 (2.0558)	Prec@1 52.500 (47.186)	Prec@5 82.000 (77.665)
Epoch: [33][2660/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 2.0105 (2.0556)	Prec@1 48.000 (47.191)	Prec@5 78.000 (77.666)
Epoch: [33][2670/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.9887 (2.0554)	Prec@1 48.000 (47.191)	Prec@5 79.500 (77.673)
Epoch: [33][2680/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 1.7780 (2.0555)	Prec@1 54.500 (47.189)	Prec@5 80.500 (77.673)
Epoch: [33][2690/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 1.9473 (2.0554)	Prec@1 51.000 (47.190)	Prec@5 76.000 (77.672)
Epoch: [33][2700/9018]	Time 0.594 (0.610)	Data 0.001 (0.002)	Loss 2.1677 (2.0555)	Prec@1 48.000 (47.186)	Prec@5 76.000 (77.671)
Epoch: [33][2710/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 2.0772 (2.0552)	Prec@1 48.000 (47.191)	Prec@5 78.000 (77.672)
Epoch: [33][2720/9018]	Time 0.594 (0.610)	Data 0.001 (0.002)	Loss 2.0780 (2.0551)	Prec@1 49.500 (47.194)	Prec@5 77.500 (77.671)
Epoch: [33][2730/9018]	Time 0.620 (0.610)	Data 0.001 (0.002)	Loss 2.0619 (2.0551)	Prec@1 49.000 (47.200)	Prec@5 80.000 (77.671)
Epoch: [33][2740/9018]	Time 0.622 (0.610)	Data 0.001 (0.002)	Loss 2.2650 (2.0549)	Prec@1 42.000 (47.199)	Prec@5 75.000 (77.677)
Epoch: [33][2750/9018]	Time 0.594 (0.610)	Data 0.001 (0.002)	Loss 2.0311 (2.0549)	Prec@1 44.000 (47.196)	Prec@5 79.000 (77.679)
Epoch: [33][2760/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.0665 (2.0549)	Prec@1 46.500 (47.198)	Prec@5 78.500 (77.678)
Epoch: [33][2770/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 2.0583 (2.0549)	Prec@1 49.000 (47.197)	Prec@5 77.000 (77.677)
Epoch: [33][2780/9018]	Time 0.604 (0.610)	Data 0.001 (0.002)	Loss 2.2534 (2.0549)	Prec@1 43.500 (47.195)	Prec@5 76.500 (77.678)
Epoch: [33][2790/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 2.0511 (2.0549)	Prec@1 41.500 (47.192)	Prec@5 77.500 (77.674)
Epoch: [33][2800/9018]	Time 0.710 (0.610)	Data 0.001 (0.002)	Loss 1.9714 (2.0549)	Prec@1 48.500 (47.192)	Prec@5 78.500 (77.672)
Epoch: [33][2810/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 1.8243 (2.0546)	Prec@1 52.000 (47.200)	Prec@5 81.000 (77.676)
Epoch: [33][2820/9018]	Time 0.605 (0.610)	Data 0.001 (0.002)	Loss 2.3107 (2.0549)	Prec@1 39.000 (47.193)	Prec@5 79.000 (77.673)
Epoch: [33][2830/9018]	Time 0.614 (0.610)	Data 0.001 (0.002)	Loss 2.0961 (2.0549)	Prec@1 50.500 (47.194)	Prec@5 78.500 (77.674)
Epoch: [33][2840/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 2.1836 (2.0552)	Prec@1 42.000 (47.184)	Prec@5 77.500 (77.668)
Epoch: [33][2850/9018]	Time 0.729 (0.610)	Data 0.001 (0.002)	Loss 2.0211 (2.0552)	Prec@1 45.500 (47.181)	Prec@5 80.500 (77.670)
Epoch: [33][2860/9018]	Time 0.608 (0.610)	Data 0.001 (0.002)	Loss 2.3342 (2.0554)	Prec@1 40.000 (47.177)	Prec@5 72.000 (77.664)
Epoch: [33][2870/9018]	Time 0.607 (0.610)	Data 0.001 (0.002)	Loss 1.9428 (2.0553)	Prec@1 52.000 (47.175)	Prec@5 77.000 (77.665)
Epoch: [33][2880/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 2.0389 (2.0551)	Prec@1 48.500 (47.182)	Prec@5 76.500 (77.667)
Epoch: [33][2890/9018]	Time 0.620 (0.610)	Data 0.001 (0.002)	Loss 2.2087 (2.0553)	Prec@1 44.000 (47.179)	Prec@5 73.000 (77.667)
Epoch: [33][2900/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 2.0468 (2.0552)	Prec@1 46.500 (47.178)	Prec@5 77.000 (77.664)
Epoch: [33][2910/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 2.0880 (2.0552)	Prec@1 46.000 (47.177)	Prec@5 77.500 (77.665)
Epoch: [33][2920/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.1711 (2.0553)	Prec@1 46.000 (47.175)	Prec@5 75.000 (77.663)
Epoch: [33][2930/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 1.9131 (2.0554)	Prec@1 46.500 (47.176)	Prec@5 82.000 (77.663)
Epoch: [33][2940/9018]	Time 0.594 (0.610)	Data 0.001 (0.002)	Loss 2.0500 (2.0554)	Prec@1 45.000 (47.175)	Prec@5 77.000 (77.662)
Epoch: [33][2950/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.0646 (2.0554)	Prec@1 47.500 (47.176)	Prec@5 73.000 (77.660)
Epoch: [33][2960/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 1.8591 (2.0554)	Prec@1 47.000 (47.179)	Prec@5 82.000 (77.659)
Epoch: [33][2970/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 1.9616 (2.0553)	Prec@1 57.000 (47.182)	Prec@5 74.500 (77.657)
Epoch: [33][2980/9018]	Time 0.604 (0.610)	Data 0.001 (0.002)	Loss 2.1366 (2.0554)	Prec@1 43.500 (47.181)	Prec@5 74.000 (77.652)
Epoch: [33][2990/9018]	Time 0.604 (0.610)	Data 0.001 (0.002)	Loss 2.0659 (2.0553)	Prec@1 45.500 (47.185)	Prec@5 76.000 (77.653)
Epoch: [33][3000/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.0172 (2.0555)	Prec@1 48.000 (47.180)	Prec@5 76.000 (77.650)
Epoch: [33][3010/9018]	Time 0.621 (0.610)	Data 0.001 (0.002)	Loss 2.0487 (2.0552)	Prec@1 44.500 (47.182)	Prec@5 79.000 (77.656)
Epoch: [33][3020/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1894 (2.0553)	Prec@1 47.500 (47.178)	Prec@5 73.500 (77.656)
Epoch: [33][3030/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1685 (2.0554)	Prec@1 46.000 (47.177)	Prec@5 77.500 (77.655)
Epoch: [33][3040/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.2481 (2.0554)	Prec@1 47.000 (47.179)	Prec@5 76.500 (77.653)
Epoch: [33][3050/9018]	Time 0.634 (0.610)	Data 0.001 (0.001)	Loss 2.0798 (2.0556)	Prec@1 41.500 (47.171)	Prec@5 78.500 (77.653)
Epoch: [33][3060/9018]	Time 0.626 (0.610)	Data 0.001 (0.001)	Loss 1.6554 (2.0554)	Prec@1 53.500 (47.172)	Prec@5 85.000 (77.654)
Epoch: [33][3070/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0732 (2.0553)	Prec@1 47.500 (47.175)	Prec@5 74.000 (77.656)
Epoch: [33][3080/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1892 (2.0554)	Prec@1 45.000 (47.172)	Prec@5 77.000 (77.658)
Epoch: [33][3090/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.1281 (2.0555)	Prec@1 41.500 (47.171)	Prec@5 76.500 (77.657)
Epoch: [33][3100/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9534 (2.0556)	Prec@1 49.500 (47.168)	Prec@5 79.500 (77.653)
Epoch: [33][3110/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.0288 (2.0558)	Prec@1 47.000 (47.164)	Prec@5 77.500 (77.652)
Epoch: [33][3120/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.4593 (2.0559)	Prec@1 41.000 (47.165)	Prec@5 70.500 (77.651)
Epoch: [33][3130/9018]	Time 0.711 (0.610)	Data 0.001 (0.001)	Loss 1.7905 (2.0561)	Prec@1 52.500 (47.165)	Prec@5 83.000 (77.649)
Epoch: [33][3140/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9137 (2.0561)	Prec@1 47.000 (47.168)	Prec@5 81.500 (77.649)
Epoch: [33][3150/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9411 (2.0561)	Prec@1 44.500 (47.168)	Prec@5 79.000 (77.650)
Epoch: [33][3160/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0337 (2.0558)	Prec@1 48.500 (47.180)	Prec@5 76.500 (77.652)
Epoch: [33][3170/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.9750 (2.0558)	Prec@1 52.000 (47.179)	Prec@5 76.500 (77.652)
Epoch: [33][3180/9018]	Time 0.709 (0.610)	Data 0.001 (0.001)	Loss 2.0007 (2.0558)	Prec@1 53.500 (47.181)	Prec@5 81.000 (77.652)
Epoch: [33][3190/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0451 (2.0556)	Prec@1 46.000 (47.181)	Prec@5 80.000 (77.654)
Epoch: [33][3200/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0337 (2.0556)	Prec@1 53.000 (47.180)	Prec@5 77.500 (77.656)
Epoch: [33][3210/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0268 (2.0556)	Prec@1 49.000 (47.188)	Prec@5 80.000 (77.656)
Epoch: [33][3220/9018]	Time 0.624 (0.610)	Data 0.001 (0.001)	Loss 2.2462 (2.0555)	Prec@1 44.000 (47.189)	Prec@5 73.500 (77.658)
Epoch: [33][3230/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.1687 (2.0558)	Prec@1 41.000 (47.183)	Prec@5 73.500 (77.654)
Epoch: [33][3240/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.2289 (2.0559)	Prec@1 48.000 (47.184)	Prec@5 72.000 (77.651)
Epoch: [33][3250/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9114 (2.0559)	Prec@1 48.500 (47.181)	Prec@5 80.000 (77.652)
Epoch: [33][3260/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1606 (2.0559)	Prec@1 45.000 (47.182)	Prec@5 79.000 (77.651)
Epoch: [33][3270/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1627 (2.0560)	Prec@1 45.500 (47.176)	Prec@5 79.500 (77.649)
Epoch: [33][3280/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1275 (2.0562)	Prec@1 44.500 (47.169)	Prec@5 78.000 (77.647)
Epoch: [33][3290/9018]	Time 0.614 (0.610)	Data 0.001 (0.001)	Loss 1.9241 (2.0561)	Prec@1 50.000 (47.172)	Prec@5 75.500 (77.651)
Epoch: [33][3300/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9775 (2.0559)	Prec@1 49.500 (47.173)	Prec@5 82.000 (77.657)
Epoch: [33][3310/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0217 (2.0558)	Prec@1 48.500 (47.174)	Prec@5 81.000 (77.661)
Epoch: [33][3320/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1443 (2.0556)	Prec@1 44.000 (47.177)	Prec@5 76.500 (77.664)
Epoch: [33][3330/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 1.7228 (2.0554)	Prec@1 53.500 (47.182)	Prec@5 84.500 (77.671)
Epoch: [33][3340/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.2594 (2.0553)	Prec@1 44.000 (47.185)	Prec@5 75.000 (77.672)
Epoch: [33][3350/9018]	Time 0.616 (0.610)	Data 0.001 (0.001)	Loss 2.1194 (2.0555)	Prec@1 44.000 (47.184)	Prec@5 76.500 (77.670)
Epoch: [33][3360/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.8641 (2.0555)	Prec@1 50.000 (47.185)	Prec@5 82.000 (77.670)
Epoch: [33][3370/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1075 (2.0553)	Prec@1 42.500 (47.187)	Prec@5 78.000 (77.672)
Epoch: [33][3380/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.1145 (2.0553)	Prec@1 48.500 (47.191)	Prec@5 78.500 (77.672)
Epoch: [33][3390/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 1.9826 (2.0556)	Prec@1 52.000 (47.189)	Prec@5 78.500 (77.668)
Epoch: [33][3400/9018]	Time 0.611 (0.610)	Data 0.001 (0.001)	Loss 2.1292 (2.0556)	Prec@1 40.500 (47.183)	Prec@5 75.000 (77.669)
Epoch: [33][3410/9018]	Time 0.746 (0.610)	Data 0.001 (0.001)	Loss 1.9950 (2.0556)	Prec@1 48.500 (47.183)	Prec@5 81.000 (77.670)
Epoch: [33][3420/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1456 (2.0556)	Prec@1 45.500 (47.179)	Prec@5 75.500 (77.672)
Epoch: [33][3430/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.9361 (2.0556)	Prec@1 50.500 (47.175)	Prec@5 81.000 (77.671)
Epoch: [33][3440/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1005 (2.0556)	Prec@1 47.000 (47.177)	Prec@5 75.500 (77.673)
Epoch: [33][3450/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.2849 (2.0557)	Prec@1 39.500 (47.171)	Prec@5 71.000 (77.672)
Epoch: [33][3460/9018]	Time 0.720 (0.610)	Data 0.001 (0.001)	Loss 1.9745 (2.0558)	Prec@1 49.000 (47.169)	Prec@5 79.000 (77.670)
Epoch: [33][3470/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.2353 (2.0559)	Prec@1 44.500 (47.166)	Prec@5 75.500 (77.669)
Epoch: [33][3480/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9238 (2.0557)	Prec@1 49.000 (47.171)	Prec@5 77.000 (77.670)
Epoch: [33][3490/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1806 (2.0557)	Prec@1 43.500 (47.171)	Prec@5 75.000 (77.668)
Epoch: [33][3500/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.2047 (2.0559)	Prec@1 48.500 (47.171)	Prec@5 74.000 (77.664)
Epoch: [33][3510/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1268 (2.0560)	Prec@1 50.500 (47.168)	Prec@5 74.500 (77.659)
Epoch: [33][3520/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1719 (2.0559)	Prec@1 45.500 (47.168)	Prec@5 73.500 (77.660)
Epoch: [33][3530/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.9093 (2.0558)	Prec@1 52.000 (47.168)	Prec@5 79.000 (77.664)
Epoch: [33][3540/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.0024 (2.0559)	Prec@1 50.500 (47.167)	Prec@5 79.000 (77.661)
Epoch: [33][3550/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9937 (2.0560)	Prec@1 53.500 (47.168)	Prec@5 78.500 (77.659)
Epoch: [33][3560/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1976 (2.0562)	Prec@1 47.000 (47.164)	Prec@5 76.500 (77.656)
Epoch: [33][3570/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.9663 (2.0562)	Prec@1 49.000 (47.166)	Prec@5 80.500 (77.657)
Epoch: [33][3580/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0913 (2.0560)	Prec@1 46.500 (47.171)	Prec@5 77.500 (77.659)
Epoch: [33][3590/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 1.9600 (2.0560)	Prec@1 46.500 (47.171)	Prec@5 83.000 (77.662)
Epoch: [33][3600/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1764 (2.0559)	Prec@1 49.000 (47.178)	Prec@5 76.000 (77.663)
Epoch: [33][3610/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.1121 (2.0558)	Prec@1 46.000 (47.180)	Prec@5 74.000 (77.661)
Epoch: [33][3620/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 1.9934 (2.0557)	Prec@1 46.500 (47.185)	Prec@5 80.500 (77.666)
Epoch: [33][3630/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.2058 (2.0556)	Prec@1 49.000 (47.186)	Prec@5 75.500 (77.668)
Epoch: [33][3640/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.6753 (2.0556)	Prec@1 55.000 (47.184)	Prec@5 85.000 (77.671)
Epoch: [33][3650/9018]	Time 0.611 (0.610)	Data 0.001 (0.001)	Loss 1.9769 (2.0556)	Prec@1 47.000 (47.182)	Prec@5 77.000 (77.670)
Epoch: [33][3660/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0179 (2.0557)	Prec@1 47.500 (47.177)	Prec@5 79.500 (77.666)
Epoch: [33][3670/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1227 (2.0556)	Prec@1 48.500 (47.178)	Prec@5 78.500 (77.668)
Epoch: [33][3680/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.0393 (2.0557)	Prec@1 48.000 (47.175)	Prec@5 75.500 (77.664)
Epoch: [33][3690/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9396 (2.0559)	Prec@1 46.000 (47.174)	Prec@5 79.500 (77.659)
Epoch: [33][3700/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.8524 (2.0558)	Prec@1 52.000 (47.176)	Prec@5 83.000 (77.662)
Epoch: [33][3710/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 2.0623 (2.0558)	Prec@1 49.000 (47.175)	Prec@5 78.500 (77.664)
Epoch: [33][3720/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.9120 (2.0557)	Prec@1 50.000 (47.177)	Prec@5 78.000 (77.664)
Epoch: [33][3730/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1805 (2.0556)	Prec@1 42.000 (47.178)	Prec@5 74.000 (77.666)
Epoch: [33][3740/9018]	Time 0.713 (0.610)	Data 0.001 (0.001)	Loss 2.0440 (2.0557)	Prec@1 49.500 (47.177)	Prec@5 76.500 (77.666)
Epoch: [33][3750/9018]	Time 0.620 (0.610)	Data 0.001 (0.001)	Loss 1.9554 (2.0556)	Prec@1 54.000 (47.181)	Prec@5 76.500 (77.665)
Epoch: [33][3760/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9353 (2.0555)	Prec@1 46.500 (47.178)	Prec@5 78.000 (77.664)
Epoch: [33][3770/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0465 (2.0556)	Prec@1 49.500 (47.175)	Prec@5 77.000 (77.665)
Epoch: [33][3780/9018]	Time 0.612 (0.610)	Data 0.001 (0.001)	Loss 2.0956 (2.0557)	Prec@1 46.000 (47.173)	Prec@5 77.000 (77.663)
Epoch: [33][3790/9018]	Time 0.732 (0.610)	Data 0.001 (0.001)	Loss 2.0968 (2.0558)	Prec@1 46.000 (47.178)	Prec@5 74.500 (77.658)
Epoch: [33][3800/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.2347 (2.0557)	Prec@1 44.000 (47.177)	Prec@5 71.500 (77.658)
Epoch: [33][3810/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0167 (2.0557)	Prec@1 44.000 (47.174)	Prec@5 76.500 (77.659)
Epoch: [33][3820/9018]	Time 0.616 (0.610)	Data 0.001 (0.001)	Loss 2.3067 (2.0558)	Prec@1 38.500 (47.171)	Prec@5 75.000 (77.659)
Epoch: [33][3830/9018]	Time 0.597 (0.610)	Data 0.002 (0.001)	Loss 1.9035 (2.0559)	Prec@1 48.500 (47.168)	Prec@5 82.500 (77.659)
Epoch: [33][3840/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.3257 (2.0560)	Prec@1 44.000 (47.165)	Prec@5 70.500 (77.656)
Epoch: [33][3850/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0182 (2.0561)	Prec@1 49.500 (47.164)	Prec@5 79.000 (77.656)
Epoch: [33][3860/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9411 (2.0562)	Prec@1 51.500 (47.161)	Prec@5 80.000 (77.654)
Epoch: [33][3870/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.2853 (2.0563)	Prec@1 43.500 (47.160)	Prec@5 72.500 (77.654)
Epoch: [33][3880/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0930 (2.0563)	Prec@1 48.000 (47.156)	Prec@5 78.500 (77.657)
Epoch: [33][3890/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.2020 (2.0563)	Prec@1 50.500 (47.159)	Prec@5 75.000 (77.657)
Epoch: [33][3900/9018]	Time 0.629 (0.610)	Data 0.001 (0.001)	Loss 1.9473 (2.0562)	Prec@1 50.500 (47.161)	Prec@5 78.500 (77.656)
Epoch: [33][3910/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9529 (2.0563)	Prec@1 50.000 (47.160)	Prec@5 79.500 (77.653)
Epoch: [33][3920/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 2.3679 (2.0564)	Prec@1 41.500 (47.159)	Prec@5 72.500 (77.654)
Epoch: [33][3930/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1299 (2.0565)	Prec@1 46.000 (47.155)	Prec@5 76.000 (77.648)
Epoch: [33][3940/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.1872 (2.0566)	Prec@1 43.000 (47.154)	Prec@5 76.500 (77.649)
Epoch: [33][3950/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1565 (2.0568)	Prec@1 48.500 (47.150)	Prec@5 76.500 (77.645)
Epoch: [33][3960/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1917 (2.0568)	Prec@1 45.000 (47.150)	Prec@5 75.500 (77.645)
Epoch: [33][3970/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.8325 (2.0569)	Prec@1 50.000 (47.144)	Prec@5 83.000 (77.639)
Epoch: [33][3980/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 2.2434 (2.0571)	Prec@1 42.500 (47.141)	Prec@5 74.500 (77.632)
Epoch: [33][3990/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.1680 (2.0571)	Prec@1 40.000 (47.141)	Prec@5 74.500 (77.636)
Epoch: [33][4000/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 2.2271 (2.0573)	Prec@1 42.000 (47.138)	Prec@5 76.000 (77.630)
Epoch: [33][4010/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9858 (2.0573)	Prec@1 48.000 (47.136)	Prec@5 79.500 (77.632)
Epoch: [33][4020/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1587 (2.0572)	Prec@1 44.000 (47.137)	Prec@5 74.000 (77.632)
Epoch: [33][4030/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.1769 (2.0572)	Prec@1 44.500 (47.139)	Prec@5 76.000 (77.634)
Epoch: [33][4040/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1508 (2.0574)	Prec@1 45.000 (47.135)	Prec@5 76.500 (77.631)
Epoch: [33][4050/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0949 (2.0574)	Prec@1 50.000 (47.136)	Prec@5 77.000 (77.631)
Epoch: [33][4060/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 2.1002 (2.0574)	Prec@1 47.500 (47.137)	Prec@5 75.000 (77.630)
Epoch: [33][4070/9018]	Time 0.721 (0.610)	Data 0.001 (0.001)	Loss 2.0875 (2.0575)	Prec@1 46.500 (47.137)	Prec@5 76.500 (77.626)
Epoch: [33][4080/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.8930 (2.0573)	Prec@1 50.000 (47.140)	Prec@5 81.500 (77.630)
Epoch: [33][4090/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.1685 (2.0572)	Prec@1 42.000 (47.142)	Prec@5 80.500 (77.631)
Epoch: [33][4100/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 2.0442 (2.0573)	Prec@1 48.000 (47.140)	Prec@5 80.000 (77.628)
Epoch: [33][4110/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0912 (2.0574)	Prec@1 42.000 (47.140)	Prec@5 79.500 (77.628)
Epoch: [33][4120/9018]	Time 0.729 (0.610)	Data 0.001 (0.001)	Loss 2.3092 (2.0574)	Prec@1 42.000 (47.139)	Prec@5 72.500 (77.629)
Epoch: [33][4130/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.8971 (2.0574)	Prec@1 50.500 (47.136)	Prec@5 80.500 (77.627)
Epoch: [33][4140/9018]	Time 0.629 (0.610)	Data 0.001 (0.001)	Loss 1.9679 (2.0574)	Prec@1 50.000 (47.135)	Prec@5 79.000 (77.628)
Epoch: [33][4150/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 2.1008 (2.0574)	Prec@1 46.500 (47.139)	Prec@5 76.000 (77.628)
Epoch: [33][4160/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0414 (2.0575)	Prec@1 46.500 (47.135)	Prec@5 80.500 (77.626)
Epoch: [33][4170/9018]	Time 0.615 (0.610)	Data 0.001 (0.001)	Loss 2.1271 (2.0575)	Prec@1 46.500 (47.132)	Prec@5 76.500 (77.627)
Epoch: [33][4180/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.9865 (2.0576)	Prec@1 48.000 (47.130)	Prec@5 78.500 (77.627)
Epoch: [33][4190/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.9563 (2.0577)	Prec@1 47.500 (47.127)	Prec@5 82.000 (77.627)
Epoch: [33][4200/9018]	Time 0.609 (0.610)	Data 0.001 (0.001)	Loss 2.0019 (2.0576)	Prec@1 48.000 (47.130)	Prec@5 80.500 (77.627)
Epoch: [33][4210/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.8012 (2.0575)	Prec@1 49.500 (47.130)	Prec@5 84.000 (77.629)
Epoch: [33][4220/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0022 (2.0575)	Prec@1 48.000 (47.132)	Prec@5 79.000 (77.627)
Epoch: [33][4230/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0221 (2.0576)	Prec@1 45.500 (47.129)	Prec@5 80.000 (77.626)
Epoch: [33][4240/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9543 (2.0576)	Prec@1 51.000 (47.128)	Prec@5 77.000 (77.623)
Epoch: [33][4250/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 1.8579 (2.0576)	Prec@1 50.000 (47.129)	Prec@5 81.500 (77.622)
Epoch: [33][4260/9018]	Time 0.626 (0.610)	Data 0.001 (0.001)	Loss 1.9121 (2.0577)	Prec@1 52.500 (47.128)	Prec@5 77.500 (77.621)
Epoch: [33][4270/9018]	Time 0.620 (0.610)	Data 0.001 (0.001)	Loss 1.9416 (2.0577)	Prec@1 52.000 (47.131)	Prec@5 80.500 (77.622)
Epoch: [33][4280/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9846 (2.0577)	Prec@1 48.000 (47.133)	Prec@5 79.000 (77.621)
Epoch: [33][4290/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.1789 (2.0576)	Prec@1 40.000 (47.130)	Prec@5 79.000 (77.624)
Epoch: [33][4300/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.3212 (2.0577)	Prec@1 40.000 (47.129)	Prec@5 72.500 (77.620)
Epoch: [33][4310/9018]	Time 0.627 (0.610)	Data 0.001 (0.001)	Loss 2.0373 (2.0577)	Prec@1 45.000 (47.126)	Prec@5 77.000 (77.621)
Epoch: [33][4320/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.8546 (2.0576)	Prec@1 50.000 (47.128)	Prec@5 84.000 (77.623)
Epoch: [33][4330/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9957 (2.0575)	Prec@1 49.000 (47.132)	Prec@5 77.000 (77.624)
Epoch: [33][4340/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.0081 (2.0575)	Prec@1 47.000 (47.129)	Prec@5 74.500 (77.623)
Epoch: [33][4350/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.2820 (2.0575)	Prec@1 44.500 (47.130)	Prec@5 71.000 (77.624)
Epoch: [33][4360/9018]	Time 0.629 (0.610)	Data 0.001 (0.001)	Loss 2.2644 (2.0576)	Prec@1 43.000 (47.128)	Prec@5 76.000 (77.627)
Epoch: [33][4370/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0605 (2.0575)	Prec@1 44.500 (47.128)	Prec@5 80.000 (77.627)
Epoch: [33][4380/9018]	Time 0.621 (0.610)	Data 0.001 (0.001)	Loss 1.8670 (2.0573)	Prec@1 51.000 (47.131)	Prec@5 82.000 (77.630)
Epoch: [33][4390/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1033 (2.0573)	Prec@1 45.000 (47.130)	Prec@5 78.000 (77.630)
Epoch: [33][4400/9018]	Time 0.728 (0.610)	Data 0.001 (0.001)	Loss 2.0409 (2.0572)	Prec@1 50.000 (47.132)	Prec@5 76.500 (77.633)
Epoch: [33][4410/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1428 (2.0575)	Prec@1 51.000 (47.129)	Prec@5 76.500 (77.626)
Epoch: [33][4420/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0820 (2.0577)	Prec@1 49.500 (47.126)	Prec@5 75.500 (77.622)
Epoch: [33][4430/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.1153 (2.0577)	Prec@1 47.500 (47.127)	Prec@5 79.000 (77.621)
Epoch: [33][4440/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.2667 (2.0577)	Prec@1 45.500 (47.130)	Prec@5 73.500 (77.621)
Epoch: [33][4450/9018]	Time 0.718 (0.610)	Data 0.001 (0.001)	Loss 1.8754 (2.0576)	Prec@1 51.500 (47.132)	Prec@5 83.000 (77.623)
Epoch: [33][4460/9018]	Time 0.616 (0.610)	Data 0.001 (0.001)	Loss 2.0175 (2.0577)	Prec@1 47.500 (47.129)	Prec@5 77.500 (77.619)
Epoch: [33][4470/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0731 (2.0577)	Prec@1 49.500 (47.130)	Prec@5 74.500 (77.622)
Epoch: [33][4480/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.3719 (2.0579)	Prec@1 40.000 (47.124)	Prec@5 73.000 (77.617)
Epoch: [33][4490/9018]	Time 0.617 (0.610)	Data 0.001 (0.001)	Loss 2.1532 (2.0579)	Prec@1 43.000 (47.123)	Prec@5 78.000 (77.616)
Epoch: [33][4500/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.1391 (2.0577)	Prec@1 44.000 (47.126)	Prec@5 75.500 (77.620)
Epoch: [33][4510/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.2774 (2.0578)	Prec@1 44.500 (47.123)	Prec@5 73.000 (77.617)
Epoch: [33][4520/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0699 (2.0579)	Prec@1 46.500 (47.120)	Prec@5 82.000 (77.618)
Epoch: [33][4530/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0438 (2.0579)	Prec@1 47.500 (47.120)	Prec@5 78.000 (77.620)
Epoch: [33][4540/9018]	Time 0.616 (0.610)	Data 0.001 (0.001)	Loss 2.0470 (2.0577)	Prec@1 45.000 (47.122)	Prec@5 79.500 (77.622)
Epoch: [33][4550/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.9809 (2.0578)	Prec@1 47.500 (47.119)	Prec@5 81.000 (77.620)
Epoch: [33][4560/9018]	Time 0.627 (0.610)	Data 0.001 (0.001)	Loss 1.9931 (2.0578)	Prec@1 48.500 (47.118)	Prec@5 77.000 (77.620)
Epoch: [33][4570/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1280 (2.0578)	Prec@1 47.000 (47.118)	Prec@5 75.500 (77.620)
Epoch: [33][4580/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.1260 (2.0578)	Prec@1 47.500 (47.116)	Prec@5 76.000 (77.618)
Epoch: [33][4590/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0587 (2.0581)	Prec@1 48.000 (47.109)	Prec@5 78.500 (77.614)
Epoch: [33][4600/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1229 (2.0580)	Prec@1 44.000 (47.110)	Prec@5 76.000 (77.614)
Epoch: [33][4610/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.8651 (2.0580)	Prec@1 51.000 (47.109)	Prec@5 83.500 (77.616)
Epoch: [33][4620/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1194 (2.0580)	Prec@1 48.000 (47.111)	Prec@5 77.500 (77.616)
Epoch: [33][4630/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 1.8634 (2.0579)	Prec@1 52.500 (47.114)	Prec@5 80.000 (77.615)
Epoch: [33][4640/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0553 (2.0579)	Prec@1 46.500 (47.116)	Prec@5 79.000 (77.617)
Epoch: [33][4650/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.1110 (2.0579)	Prec@1 48.000 (47.115)	Prec@5 78.000 (77.615)
Epoch: [33][4660/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0387 (2.0579)	Prec@1 47.500 (47.117)	Prec@5 74.500 (77.617)
Epoch: [33][4670/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0735 (2.0580)	Prec@1 48.500 (47.116)	Prec@5 76.500 (77.616)
Epoch: [33][4680/9018]	Time 0.614 (0.610)	Data 0.001 (0.001)	Loss 1.9423 (2.0580)	Prec@1 50.000 (47.117)	Prec@5 76.000 (77.616)
Epoch: [33][4690/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0177 (2.0579)	Prec@1 45.500 (47.118)	Prec@5 80.500 (77.619)
Epoch: [33][4700/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.9655 (2.0579)	Prec@1 50.500 (47.118)	Prec@5 80.000 (77.619)
Epoch: [33][4710/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.0796 (2.0580)	Prec@1 52.000 (47.118)	Prec@5 75.000 (77.617)
Epoch: [33][4720/9018]	Time 0.633 (0.610)	Data 0.001 (0.001)	Loss 1.9437 (2.0579)	Prec@1 50.000 (47.124)	Prec@5 77.000 (77.617)
Epoch: [33][4730/9018]	Time 0.730 (0.610)	Data 0.001 (0.001)	Loss 2.0555 (2.0579)	Prec@1 44.000 (47.123)	Prec@5 78.500 (77.617)
Epoch: [33][4740/9018]	Time 0.626 (0.610)	Data 0.001 (0.001)	Loss 2.0750 (2.0578)	Prec@1 46.500 (47.123)	Prec@5 76.500 (77.617)
Epoch: [33][4750/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.0548 (2.0577)	Prec@1 47.500 (47.123)	Prec@5 74.500 (77.619)
Epoch: [33][4760/9018]	Time 0.609 (0.610)	Data 0.001 (0.001)	Loss 2.3859 (2.0577)	Prec@1 40.500 (47.124)	Prec@5 69.500 (77.615)
Epoch: [33][4770/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 1.7870 (2.0578)	Prec@1 52.000 (47.123)	Prec@5 84.000 (77.613)
Epoch: [33][4780/9018]	Time 0.724 (0.610)	Data 0.001 (0.001)	Loss 1.9426 (2.0577)	Prec@1 47.000 (47.124)	Prec@5 82.500 (77.614)
Epoch: [33][4790/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 2.0715 (2.0578)	Prec@1 47.000 (47.122)	Prec@5 77.000 (77.614)
Epoch: [33][4800/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.0520 (2.0576)	Prec@1 44.500 (47.124)	Prec@5 79.500 (77.618)
Epoch: [33][4810/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.9219 (2.0575)	Prec@1 55.000 (47.123)	Prec@5 77.500 (77.619)
Epoch: [33][4820/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0959 (2.0576)	Prec@1 47.500 (47.122)	Prec@5 77.500 (77.617)
Epoch: [33][4830/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1141 (2.0576)	Prec@1 49.000 (47.122)	Prec@5 79.000 (77.617)
Epoch: [33][4840/9018]	Time 0.612 (0.610)	Data 0.001 (0.001)	Loss 2.0262 (2.0576)	Prec@1 48.500 (47.120)	Prec@5 77.000 (77.618)
Epoch: [33][4850/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9484 (2.0577)	Prec@1 48.500 (47.117)	Prec@5 80.500 (77.617)
Epoch: [33][4860/9018]	Time 0.629 (0.611)	Data 0.001 (0.001)	Loss 1.9466 (2.0577)	Prec@1 48.000 (47.114)	Prec@5 81.500 (77.618)
Epoch: [33][4870/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.1783 (2.0578)	Prec@1 40.000 (47.111)	Prec@5 77.000 (77.615)
Epoch: [33][4880/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0270 (2.0578)	Prec@1 48.000 (47.111)	Prec@5 76.500 (77.615)
Epoch: [33][4890/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 1.9812 (2.0579)	Prec@1 50.000 (47.111)	Prec@5 76.500 (77.614)
Epoch: [33][4900/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.0958 (2.0579)	Prec@1 50.000 (47.113)	Prec@5 75.500 (77.615)
Epoch: [33][4910/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.0014 (2.0580)	Prec@1 47.000 (47.106)	Prec@5 79.500 (77.612)
Epoch: [33][4920/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.9411 (2.0580)	Prec@1 48.000 (47.107)	Prec@5 79.500 (77.612)
Epoch: [33][4930/9018]	Time 0.630 (0.611)	Data 0.001 (0.001)	Loss 2.1772 (2.0581)	Prec@1 46.000 (47.105)	Prec@5 72.500 (77.610)
Epoch: [33][4940/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.9034 (2.0580)	Prec@1 49.000 (47.110)	Prec@5 79.000 (77.612)
Epoch: [33][4950/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.7990 (2.0579)	Prec@1 50.000 (47.111)	Prec@5 84.000 (77.613)
Epoch: [33][4960/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1536 (2.0579)	Prec@1 46.500 (47.110)	Prec@5 76.000 (77.612)
Epoch: [33][4970/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.1424 (2.0580)	Prec@1 44.500 (47.111)	Prec@5 76.000 (77.611)
Epoch: [33][4980/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.1044 (2.0580)	Prec@1 52.500 (47.111)	Prec@5 77.500 (77.612)
Epoch: [33][4990/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1552 (2.0581)	Prec@1 46.500 (47.109)	Prec@5 78.000 (77.611)
Epoch: [33][5000/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0986 (2.0580)	Prec@1 41.000 (47.110)	Prec@5 81.000 (77.615)
Epoch: [33][5010/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.1249 (2.0580)	Prec@1 48.000 (47.110)	Prec@5 76.500 (77.615)
Epoch: [33][5020/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.8658 (2.0580)	Prec@1 54.500 (47.113)	Prec@5 76.000 (77.614)
Epoch: [33][5030/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.0222 (2.0580)	Prec@1 48.500 (47.113)	Prec@5 77.500 (77.616)
Epoch: [33][5040/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.8892 (2.0580)	Prec@1 51.500 (47.114)	Prec@5 80.000 (77.614)
Epoch: [33][5050/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 1.6371 (2.0580)	Prec@1 54.500 (47.115)	Prec@5 86.000 (77.616)
Epoch: [33][5060/9018]	Time 0.730 (0.611)	Data 0.001 (0.001)	Loss 1.9702 (2.0581)	Prec@1 47.000 (47.114)	Prec@5 79.000 (77.615)
Epoch: [33][5070/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.1332 (2.0580)	Prec@1 45.500 (47.118)	Prec@5 75.500 (77.616)
Epoch: [33][5080/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 1.9132 (2.0579)	Prec@1 50.500 (47.119)	Prec@5 80.500 (77.617)
Epoch: [33][5090/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 2.2216 (2.0579)	Prec@1 45.000 (47.118)	Prec@5 72.000 (77.616)
Epoch: [33][5100/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.3783 (2.0577)	Prec@1 39.500 (47.123)	Prec@5 75.500 (77.619)
Epoch: [33][5110/9018]	Time 0.724 (0.611)	Data 0.001 (0.001)	Loss 1.9170 (2.0576)	Prec@1 49.000 (47.123)	Prec@5 82.000 (77.620)
Epoch: [33][5120/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1050 (2.0576)	Prec@1 49.500 (47.125)	Prec@5 78.000 (77.621)
Epoch: [33][5130/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.1312 (2.0576)	Prec@1 48.500 (47.126)	Prec@5 78.000 (77.621)
Epoch: [33][5140/9018]	Time 0.618 (0.611)	Data 0.001 (0.001)	Loss 1.8752 (2.0574)	Prec@1 50.000 (47.129)	Prec@5 78.500 (77.621)
Epoch: [33][5150/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.9430 (2.0573)	Prec@1 47.000 (47.129)	Prec@5 85.000 (77.625)
Epoch: [33][5160/9018]	Time 0.638 (0.611)	Data 0.001 (0.001)	Loss 2.3044 (2.0573)	Prec@1 41.000 (47.131)	Prec@5 76.500 (77.624)
Epoch: [33][5170/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9903 (2.0573)	Prec@1 49.500 (47.131)	Prec@5 77.500 (77.623)
Epoch: [33][5180/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 1.9433 (2.0572)	Prec@1 50.500 (47.132)	Prec@5 83.000 (77.624)
Epoch: [33][5190/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.6545 (2.0571)	Prec@1 56.000 (47.135)	Prec@5 83.500 (77.624)
Epoch: [33][5200/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.3688 (2.0571)	Prec@1 42.500 (47.133)	Prec@5 72.000 (77.623)
Epoch: [33][5210/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.1399 (2.0573)	Prec@1 40.500 (47.127)	Prec@5 75.500 (77.620)
Epoch: [33][5220/9018]	Time 0.629 (0.611)	Data 0.001 (0.001)	Loss 2.1415 (2.0573)	Prec@1 48.500 (47.129)	Prec@5 78.500 (77.620)
Epoch: [33][5230/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 1.9471 (2.0573)	Prec@1 51.500 (47.128)	Prec@5 80.000 (77.621)
Epoch: [33][5240/9018]	Time 0.634 (0.611)	Data 0.001 (0.001)	Loss 2.1591 (2.0573)	Prec@1 50.000 (47.133)	Prec@5 75.000 (77.623)
Epoch: [33][5250/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1097 (2.0573)	Prec@1 44.500 (47.132)	Prec@5 75.000 (77.621)
Epoch: [33][5260/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.2537 (2.0574)	Prec@1 40.000 (47.131)	Prec@5 72.000 (77.620)
Epoch: [33][5270/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.1549 (2.0573)	Prec@1 46.500 (47.133)	Prec@5 74.000 (77.622)
Epoch: [33][5280/9018]	Time 0.619 (0.611)	Data 0.001 (0.001)	Loss 1.9172 (2.0572)	Prec@1 54.500 (47.136)	Prec@5 81.000 (77.623)
Epoch: [33][5290/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0432 (2.0571)	Prec@1 45.500 (47.137)	Prec@5 79.000 (77.627)
Epoch: [33][5300/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1499 (2.0571)	Prec@1 48.500 (47.137)	Prec@5 75.000 (77.626)
Epoch: [33][5310/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.2597 (2.0572)	Prec@1 44.500 (47.133)	Prec@5 74.000 (77.625)
Epoch: [33][5320/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.8636 (2.0571)	Prec@1 50.000 (47.133)	Prec@5 80.000 (77.625)
Epoch: [33][5330/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 2.0069 (2.0572)	Prec@1 48.000 (47.132)	Prec@5 81.000 (77.626)
Epoch: [33][5340/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 2.2125 (2.0571)	Prec@1 44.000 (47.133)	Prec@5 78.000 (77.629)
Epoch: [33][5350/9018]	Time 0.614 (0.611)	Data 0.001 (0.001)	Loss 2.1261 (2.0571)	Prec@1 44.000 (47.133)	Prec@5 78.000 (77.630)
Epoch: [33][5360/9018]	Time 0.620 (0.611)	Data 0.001 (0.001)	Loss 1.9542 (2.0570)	Prec@1 49.000 (47.133)	Prec@5 80.000 (77.633)
Epoch: [33][5370/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1090 (2.0571)	Prec@1 46.000 (47.133)	Prec@5 76.500 (77.630)
Epoch: [33][5380/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 1.9724 (2.0571)	Prec@1 48.500 (47.132)	Prec@5 77.000 (77.630)
Epoch: [33][5390/9018]	Time 0.725 (0.611)	Data 0.001 (0.001)	Loss 2.2352 (2.0572)	Prec@1 44.500 (47.131)	Prec@5 77.000 (77.629)
Epoch: [33][5400/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1071 (2.0572)	Prec@1 46.000 (47.131)	Prec@5 77.000 (77.628)
Epoch: [33][5410/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.2381 (2.0572)	Prec@1 42.500 (47.130)	Prec@5 75.500 (77.629)
Epoch: [33][5420/9018]	Time 0.619 (0.611)	Data 0.001 (0.001)	Loss 2.0189 (2.0573)	Prec@1 46.500 (47.129)	Prec@5 78.000 (77.627)
Epoch: [33][5430/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 2.0897 (2.0571)	Prec@1 46.500 (47.133)	Prec@5 76.000 (77.632)
Epoch: [33][5440/9018]	Time 0.716 (0.611)	Data 0.001 (0.001)	Loss 1.9275 (2.0572)	Prec@1 50.500 (47.133)	Prec@5 77.000 (77.629)
Epoch: [33][5450/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.3201 (2.0573)	Prec@1 43.000 (47.131)	Prec@5 72.000 (77.627)
Epoch: [33][5460/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0132 (2.0572)	Prec@1 46.500 (47.132)	Prec@5 80.000 (77.629)
Epoch: [33][5470/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 2.0636 (2.0571)	Prec@1 47.500 (47.134)	Prec@5 78.500 (77.630)
Epoch: [33][5480/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 2.1688 (2.0572)	Prec@1 42.000 (47.132)	Prec@5 75.000 (77.628)
Epoch: [33][5490/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1762 (2.0572)	Prec@1 45.000 (47.131)	Prec@5 77.500 (77.627)
Epoch: [33][5500/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 1.9136 (2.0572)	Prec@1 50.000 (47.129)	Prec@5 80.500 (77.628)
Epoch: [33][5510/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.2032 (2.0573)	Prec@1 48.500 (47.127)	Prec@5 75.500 (77.624)
Epoch: [33][5520/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 1.9938 (2.0573)	Prec@1 51.000 (47.130)	Prec@5 75.500 (77.623)
Epoch: [33][5530/9018]	Time 0.634 (0.611)	Data 0.001 (0.001)	Loss 1.8980 (2.0573)	Prec@1 49.500 (47.129)	Prec@5 78.000 (77.622)
Epoch: [33][5540/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1307 (2.0574)	Prec@1 46.000 (47.126)	Prec@5 74.000 (77.618)
Epoch: [33][5550/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.0461 (2.0574)	Prec@1 49.500 (47.127)	Prec@5 75.500 (77.619)
Epoch: [33][5560/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9703 (2.0573)	Prec@1 49.500 (47.129)	Prec@5 78.000 (77.620)
Epoch: [33][5570/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.2428 (2.0574)	Prec@1 47.500 (47.130)	Prec@5 75.500 (77.619)
Epoch: [33][5580/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.9847 (2.0573)	Prec@1 48.500 (47.130)	Prec@5 81.500 (77.620)
Epoch: [33][5590/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.9642 (2.0574)	Prec@1 49.500 (47.128)	Prec@5 78.000 (77.618)
Epoch: [33][5600/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.9183 (2.0574)	Prec@1 49.500 (47.127)	Prec@5 79.500 (77.618)
Epoch: [33][5610/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.9834 (2.0575)	Prec@1 49.500 (47.125)	Prec@5 77.000 (77.615)
Epoch: [33][5620/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0877 (2.0576)	Prec@1 48.500 (47.126)	Prec@5 78.500 (77.614)
Epoch: [33][5630/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1885 (2.0577)	Prec@1 46.500 (47.122)	Prec@5 72.500 (77.612)
Epoch: [33][5640/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.0155 (2.0578)	Prec@1 49.000 (47.120)	Prec@5 76.500 (77.612)
Epoch: [33][5650/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0927 (2.0576)	Prec@1 46.500 (47.123)	Prec@5 75.500 (77.614)
Epoch: [33][5660/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9746 (2.0576)	Prec@1 48.000 (47.122)	Prec@5 79.500 (77.614)
Epoch: [33][5670/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.0760 (2.0576)	Prec@1 45.000 (47.119)	Prec@5 76.000 (77.615)
Epoch: [33][5680/9018]	Time 0.643 (0.611)	Data 0.001 (0.001)	Loss 2.1771 (2.0576)	Prec@1 45.000 (47.120)	Prec@5 73.500 (77.613)
Epoch: [33][5690/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0683 (2.0577)	Prec@1 45.500 (47.117)	Prec@5 77.500 (77.611)
Epoch: [33][5700/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.9411 (2.0577)	Prec@1 50.000 (47.120)	Prec@5 81.000 (77.613)
Epoch: [33][5710/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 2.2637 (2.0577)	Prec@1 46.500 (47.119)	Prec@5 75.500 (77.613)
Epoch: [33][5720/9018]	Time 0.732 (0.611)	Data 0.001 (0.001)	Loss 2.2729 (2.0578)	Prec@1 44.500 (47.117)	Prec@5 75.000 (77.613)
Epoch: [33][5730/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0187 (2.0577)	Prec@1 50.000 (47.119)	Prec@5 78.000 (77.614)
Epoch: [33][5740/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 2.1364 (2.0577)	Prec@1 43.000 (47.117)	Prec@5 75.000 (77.614)
Epoch: [33][5750/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.2352 (2.0578)	Prec@1 45.500 (47.116)	Prec@5 72.000 (77.611)
Epoch: [33][5760/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.8176 (2.0577)	Prec@1 54.000 (47.118)	Prec@5 81.500 (77.611)
Epoch: [33][5770/9018]	Time 0.717 (0.611)	Data 0.001 (0.001)	Loss 1.9554 (2.0576)	Prec@1 49.500 (47.120)	Prec@5 84.500 (77.614)
Epoch: [33][5780/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.2100 (2.0577)	Prec@1 42.500 (47.120)	Prec@5 76.000 (77.611)
Epoch: [33][5790/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.2193 (2.0577)	Prec@1 41.000 (47.119)	Prec@5 73.500 (77.611)
Epoch: [33][5800/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.0281 (2.0577)	Prec@1 46.500 (47.118)	Prec@5 80.000 (77.611)
Epoch: [33][5810/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.9439 (2.0577)	Prec@1 50.500 (47.117)	Prec@5 77.500 (77.610)
Epoch: [33][5820/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1389 (2.0577)	Prec@1 48.000 (47.115)	Prec@5 73.500 (77.609)
Epoch: [33][5830/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.1674 (2.0578)	Prec@1 44.000 (47.113)	Prec@5 74.000 (77.609)
Epoch: [33][5840/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0857 (2.0578)	Prec@1 43.500 (47.112)	Prec@5 78.000 (77.609)
Epoch: [33][5850/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.0482 (2.0578)	Prec@1 44.500 (47.109)	Prec@5 78.500 (77.608)
Epoch: [33][5860/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.2902 (2.0578)	Prec@1 47.000 (47.109)	Prec@5 75.000 (77.610)
Epoch: [33][5870/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1049 (2.0579)	Prec@1 41.500 (47.106)	Prec@5 78.000 (77.609)
Epoch: [33][5880/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 2.0586 (2.0579)	Prec@1 48.000 (47.105)	Prec@5 78.000 (77.609)
Epoch: [33][5890/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.8483 (2.0580)	Prec@1 50.500 (47.107)	Prec@5 81.500 (77.609)
Epoch: [33][5900/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.8731 (2.0579)	Prec@1 51.500 (47.108)	Prec@5 82.000 (77.610)
Epoch: [33][5910/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.2011 (2.0579)	Prec@1 45.000 (47.108)	Prec@5 75.000 (77.610)
Epoch: [33][5920/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.0695 (2.0580)	Prec@1 46.500 (47.106)	Prec@5 79.000 (77.609)
Epoch: [33][5930/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1433 (2.0579)	Prec@1 45.000 (47.110)	Prec@5 77.000 (77.610)
Epoch: [33][5940/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.1878 (2.0580)	Prec@1 45.500 (47.110)	Prec@5 75.000 (77.608)
Epoch: [33][5950/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.9572 (2.0579)	Prec@1 47.500 (47.111)	Prec@5 79.000 (77.609)
Epoch: [33][5960/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9493 (2.0579)	Prec@1 51.000 (47.112)	Prec@5 80.500 (77.609)
Epoch: [33][5970/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 1.9511 (2.0579)	Prec@1 50.500 (47.113)	Prec@5 80.500 (77.611)
Epoch: [33][5980/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1247 (2.0579)	Prec@1 43.500 (47.113)	Prec@5 77.000 (77.612)
Epoch: [33][5990/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0815 (2.0578)	Prec@1 45.500 (47.115)	Prec@5 77.500 (77.613)
Epoch: [33][6000/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.0739 (2.0579)	Prec@1 44.500 (47.113)	Prec@5 76.500 (77.610)
Epoch: [33][6010/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.2804 (2.0579)	Prec@1 39.500 (47.112)	Prec@5 76.000 (77.609)
Epoch: [33][6020/9018]	Time 0.630 (0.611)	Data 0.001 (0.001)	Loss 1.9473 (2.0579)	Prec@1 42.500 (47.113)	Prec@5 80.000 (77.609)
Epoch: [33][6030/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 2.0230 (2.0579)	Prec@1 45.500 (47.111)	Prec@5 78.500 (77.609)
Epoch: [33][6040/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0312 (2.0579)	Prec@1 45.500 (47.109)	Prec@5 78.500 (77.608)
Epoch: [33][6050/9018]	Time 0.733 (0.611)	Data 0.001 (0.001)	Loss 1.9431 (2.0580)	Prec@1 49.000 (47.108)	Prec@5 81.000 (77.610)
Epoch: [33][6060/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.7792 (2.0580)	Prec@1 56.500 (47.106)	Prec@5 83.500 (77.611)
Epoch: [33][6070/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9005 (2.0578)	Prec@1 50.000 (47.108)	Prec@5 80.000 (77.612)
Epoch: [33][6080/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 2.1326 (2.0578)	Prec@1 42.500 (47.109)	Prec@5 77.500 (77.613)
Epoch: [33][6090/9018]	Time 0.624 (0.611)	Data 0.001 (0.001)	Loss 1.8158 (2.0578)	Prec@1 54.000 (47.108)	Prec@5 83.500 (77.612)
Epoch: [33][6100/9018]	Time 0.724 (0.611)	Data 0.001 (0.001)	Loss 1.8703 (2.0579)	Prec@1 49.500 (47.107)	Prec@5 81.000 (77.611)
Epoch: [33][6110/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1858 (2.0579)	Prec@1 42.500 (47.105)	Prec@5 73.000 (77.612)
Epoch: [33][6120/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.1667 (2.0578)	Prec@1 47.000 (47.106)	Prec@5 75.000 (77.612)
Epoch: [33][6130/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.1865 (2.0579)	Prec@1 44.000 (47.103)	Prec@5 80.000 (77.612)
Epoch: [33][6140/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 1.9170 (2.0578)	Prec@1 46.000 (47.104)	Prec@5 77.500 (77.614)
Epoch: [33][6150/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.2916 (2.0579)	Prec@1 36.000 (47.099)	Prec@5 72.000 (77.613)
Epoch: [33][6160/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.0253 (2.0580)	Prec@1 48.000 (47.098)	Prec@5 76.000 (77.611)
Epoch: [33][6170/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9733 (2.0580)	Prec@1 50.500 (47.101)	Prec@5 79.500 (77.611)
Epoch: [33][6180/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.4273 (2.0580)	Prec@1 42.000 (47.099)	Prec@5 68.500 (77.610)
Epoch: [33][6190/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0557 (2.0581)	Prec@1 47.500 (47.098)	Prec@5 79.000 (77.612)
Epoch: [33][6200/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.2634 (2.0581)	Prec@1 46.500 (47.100)	Prec@5 72.500 (77.610)
Epoch: [33][6210/9018]	Time 0.615 (0.611)	Data 0.001 (0.001)	Loss 2.1121 (2.0581)	Prec@1 47.500 (47.100)	Prec@5 77.500 (77.612)
Epoch: [33][6220/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.9762 (2.0581)	Prec@1 49.000 (47.101)	Prec@5 75.500 (77.611)
Epoch: [33][6230/9018]	Time 0.628 (0.611)	Data 0.001 (0.001)	Loss 1.9246 (2.0583)	Prec@1 52.000 (47.096)	Prec@5 79.000 (77.609)
Epoch: [33][6240/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0659 (2.0583)	Prec@1 48.000 (47.095)	Prec@5 79.500 (77.608)
Epoch: [33][6250/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 1.9897 (2.0583)	Prec@1 48.500 (47.094)	Prec@5 77.000 (77.610)
Epoch: [33][6260/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.9568 (2.0583)	Prec@1 51.500 (47.095)	Prec@5 82.000 (77.613)
Epoch: [33][6270/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.2952 (2.0583)	Prec@1 37.500 (47.094)	Prec@5 74.000 (77.612)
Epoch: [33][6280/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0073 (2.0584)	Prec@1 42.500 (47.092)	Prec@5 80.000 (77.613)
Epoch: [33][6290/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.7998 (2.0584)	Prec@1 54.500 (47.091)	Prec@5 81.000 (77.609)
Epoch: [33][6300/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.2549 (2.0585)	Prec@1 42.500 (47.090)	Prec@5 76.000 (77.609)
Epoch: [33][6310/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 2.0338 (2.0586)	Prec@1 48.500 (47.088)	Prec@5 76.000 (77.608)
Epoch: [33][6320/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0787 (2.0586)	Prec@1 44.500 (47.087)	Prec@5 77.500 (77.606)
Epoch: [33][6330/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9137 (2.0585)	Prec@1 50.000 (47.090)	Prec@5 78.500 (77.607)
Epoch: [33][6340/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.0643 (2.0586)	Prec@1 47.000 (47.090)	Prec@5 76.500 (77.606)
Epoch: [33][6350/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.9639 (2.0586)	Prec@1 48.500 (47.089)	Prec@5 81.000 (77.605)
Epoch: [33][6360/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.8323 (2.0586)	Prec@1 50.500 (47.089)	Prec@5 83.500 (77.605)
Epoch: [33][6370/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0385 (2.0585)	Prec@1 45.500 (47.092)	Prec@5 78.500 (77.606)
Epoch: [33][6380/9018]	Time 0.725 (0.611)	Data 0.001 (0.001)	Loss 1.9772 (2.0585)	Prec@1 44.500 (47.091)	Prec@5 80.000 (77.607)
Epoch: [33][6390/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.3417 (2.0586)	Prec@1 42.500 (47.089)	Prec@5 72.000 (77.603)
Epoch: [33][6400/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.2294 (2.0586)	Prec@1 41.000 (47.090)	Prec@5 73.000 (77.604)
Epoch: [33][6410/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.1832 (2.0587)	Prec@1 44.000 (47.084)	Prec@5 76.500 (77.601)
Epoch: [33][6420/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.3882 (2.0588)	Prec@1 46.000 (47.083)	Prec@5 72.000 (77.600)
Epoch: [33][6430/9018]	Time 0.723 (0.611)	Data 0.001 (0.001)	Loss 1.9615 (2.0588)	Prec@1 51.000 (47.081)	Prec@5 78.500 (77.600)
Epoch: [33][6440/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 1.8701 (2.0588)	Prec@1 51.000 (47.083)	Prec@5 81.000 (77.603)
Epoch: [33][6450/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1498 (2.0588)	Prec@1 47.500 (47.082)	Prec@5 75.000 (77.603)
Epoch: [33][6460/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1832 (2.0588)	Prec@1 45.500 (47.084)	Prec@5 73.000 (77.601)
Epoch: [33][6470/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0362 (2.0587)	Prec@1 52.500 (47.086)	Prec@5 78.000 (77.603)
Epoch: [33][6480/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 1.7243 (2.0587)	Prec@1 57.000 (47.088)	Prec@5 84.500 (77.603)
Epoch: [33][6490/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.1338 (2.0587)	Prec@1 47.000 (47.089)	Prec@5 76.500 (77.602)
Epoch: [33][6500/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9564 (2.0587)	Prec@1 47.500 (47.088)	Prec@5 80.000 (77.602)
Epoch: [33][6510/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 2.3011 (2.0588)	Prec@1 41.500 (47.086)	Prec@5 74.000 (77.604)
Epoch: [33][6520/9018]	Time 0.616 (0.611)	Data 0.001 (0.001)	Loss 2.0186 (2.0588)	Prec@1 46.000 (47.085)	Prec@5 80.000 (77.604)
Epoch: [33][6530/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.9750 (2.0588)	Prec@1 49.000 (47.086)	Prec@5 76.500 (77.605)
Epoch: [33][6540/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 2.1734 (2.0587)	Prec@1 44.000 (47.086)	Prec@5 72.500 (77.605)
Epoch: [33][6550/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 1.8967 (2.0588)	Prec@1 52.500 (47.084)	Prec@5 80.000 (77.604)
Epoch: [33][6560/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0903 (2.0587)	Prec@1 47.000 (47.086)	Prec@5 73.500 (77.604)
Epoch: [33][6570/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.1766 (2.0588)	Prec@1 44.000 (47.085)	Prec@5 72.500 (77.603)
Epoch: [33][6580/9018]	Time 0.619 (0.611)	Data 0.001 (0.001)	Loss 1.9940 (2.0588)	Prec@1 49.000 (47.087)	Prec@5 81.500 (77.603)
Epoch: [33][6590/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.1187 (2.0588)	Prec@1 47.000 (47.088)	Prec@5 72.000 (77.603)
Epoch: [33][6600/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0351 (2.0588)	Prec@1 50.000 (47.088)	Prec@5 78.000 (77.603)
Epoch: [33][6610/9018]	Time 0.632 (0.611)	Data 0.001 (0.001)	Loss 2.1515 (2.0588)	Prec@1 42.500 (47.086)	Prec@5 76.500 (77.603)
Epoch: [33][6620/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.9439 (2.0588)	Prec@1 49.500 (47.087)	Prec@5 80.000 (77.605)
Epoch: [33][6630/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 1.9109 (2.0587)	Prec@1 50.500 (47.088)	Prec@5 77.500 (77.605)
Epoch: [33][6640/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0954 (2.0587)	Prec@1 51.000 (47.090)	Prec@5 76.500 (77.605)
Epoch: [33][6650/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.8985 (2.0588)	Prec@1 52.000 (47.089)	Prec@5 79.000 (77.602)
Epoch: [33][6660/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.0010 (2.0589)	Prec@1 50.000 (47.088)	Prec@5 80.500 (77.601)
Epoch: [33][6670/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 1.9962 (2.0589)	Prec@1 54.000 (47.088)	Prec@5 79.000 (77.601)
Epoch: [33][6680/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 2.0034 (2.0588)	Prec@1 50.000 (47.090)	Prec@5 78.500 (77.604)
Epoch: [33][6690/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.8838 (2.0588)	Prec@1 50.000 (47.088)	Prec@5 82.000 (77.604)
Epoch: [33][6700/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9705 (2.0588)	Prec@1 47.000 (47.088)	Prec@5 81.000 (77.604)
Epoch: [33][6710/9018]	Time 0.726 (0.611)	Data 0.001 (0.001)	Loss 2.0612 (2.0588)	Prec@1 44.000 (47.088)	Prec@5 78.500 (77.603)
Epoch: [33][6720/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.8557 (2.0588)	Prec@1 53.000 (47.088)	Prec@5 80.000 (77.605)
Epoch: [33][6730/9018]	Time 0.629 (0.611)	Data 0.001 (0.001)	Loss 1.9225 (2.0588)	Prec@1 52.000 (47.088)	Prec@5 77.000 (77.602)
Epoch: [33][6740/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.1258 (2.0588)	Prec@1 48.000 (47.088)	Prec@5 77.000 (77.604)
Epoch: [33][6750/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.9276 (2.0588)	Prec@1 49.500 (47.086)	Prec@5 83.000 (77.605)
Epoch: [33][6760/9018]	Time 0.742 (0.611)	Data 0.001 (0.001)	Loss 2.0882 (2.0588)	Prec@1 48.500 (47.085)	Prec@5 80.500 (77.605)
Epoch: [33][6770/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.9906 (2.0589)	Prec@1 49.500 (47.084)	Prec@5 79.000 (77.604)
Epoch: [33][6780/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.9991 (2.0588)	Prec@1 51.000 (47.086)	Prec@5 79.000 (77.606)
Epoch: [33][6790/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 2.3194 (2.0588)	Prec@1 42.000 (47.085)	Prec@5 75.000 (77.606)
Epoch: [33][6800/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.1760 (2.0589)	Prec@1 43.000 (47.085)	Prec@5 74.000 (77.605)
Epoch: [33][6810/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9319 (2.0588)	Prec@1 54.500 (47.085)	Prec@5 78.000 (77.607)
Epoch: [33][6820/9018]	Time 0.620 (0.611)	Data 0.001 (0.001)	Loss 2.1195 (2.0589)	Prec@1 45.500 (47.086)	Prec@5 75.000 (77.605)
Epoch: [33][6830/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 1.9090 (2.0588)	Prec@1 50.000 (47.088)	Prec@5 78.000 (77.607)
Epoch: [33][6840/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.0146 (2.0588)	Prec@1 46.000 (47.087)	Prec@5 79.500 (77.607)
Epoch: [33][6850/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.2592 (2.0589)	Prec@1 47.000 (47.085)	Prec@5 72.500 (77.605)
Epoch: [33][6860/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.0675 (2.0590)	Prec@1 45.500 (47.082)	Prec@5 76.500 (77.605)
Epoch: [33][6870/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.9554 (2.0590)	Prec@1 44.000 (47.082)	Prec@5 82.500 (77.605)
Epoch: [33][6880/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.9984 (2.0589)	Prec@1 48.500 (47.086)	Prec@5 78.000 (77.608)
Epoch: [33][6890/9018]	Time 0.605 (0.611)	Data 0.002 (0.001)	Loss 2.2358 (2.0589)	Prec@1 47.500 (47.087)	Prec@5 74.500 (77.608)
Epoch: [33][6900/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 2.0216 (2.0590)	Prec@1 49.500 (47.086)	Prec@5 77.500 (77.606)
Epoch: [33][6910/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.9766 (2.0589)	Prec@1 46.500 (47.088)	Prec@5 80.000 (77.608)
Epoch: [33][6920/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1197 (2.0588)	Prec@1 51.500 (47.090)	Prec@5 76.500 (77.608)
Epoch: [33][6930/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0573 (2.0588)	Prec@1 46.500 (47.089)	Prec@5 79.000 (77.608)
Epoch: [33][6940/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1481 (2.0587)	Prec@1 45.500 (47.092)	Prec@5 79.000 (77.608)
Epoch: [33][6950/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.1003 (2.0588)	Prec@1 46.500 (47.089)	Prec@5 76.500 (77.606)
Epoch: [33][6960/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.8873 (2.0587)	Prec@1 48.500 (47.091)	Prec@5 83.000 (77.609)
Epoch: [33][6970/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.0052 (2.0587)	Prec@1 49.000 (47.093)	Prec@5 79.500 (77.611)
Epoch: [33][6980/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.0975 (2.0586)	Prec@1 47.000 (47.094)	Prec@5 74.000 (77.611)
Epoch: [33][6990/9018]	Time 0.617 (0.611)	Data 0.001 (0.001)	Loss 2.0694 (2.0587)	Prec@1 44.500 (47.094)	Prec@5 77.500 (77.612)
Epoch: [33][7000/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1971 (2.0587)	Prec@1 45.000 (47.093)	Prec@5 75.500 (77.612)
Epoch: [33][7010/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.0518 (2.0587)	Prec@1 51.500 (47.093)	Prec@5 77.500 (77.612)
Epoch: [33][7020/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 1.9733 (2.0588)	Prec@1 49.500 (47.091)	Prec@5 79.000 (77.610)
Epoch: [33][7030/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.9383 (2.0588)	Prec@1 46.500 (47.090)	Prec@5 78.500 (77.608)
Epoch: [33][7040/9018]	Time 0.763 (0.611)	Data 0.001 (0.001)	Loss 2.0823 (2.0589)	Prec@1 45.000 (47.088)	Prec@5 77.500 (77.606)
Epoch: [33][7050/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.2445 (2.0589)	Prec@1 42.500 (47.088)	Prec@5 74.000 (77.607)
Epoch: [33][7060/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.2822 (2.0590)	Prec@1 41.500 (47.088)	Prec@5 76.000 (77.607)
Epoch: [33][7070/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.0742 (2.0590)	Prec@1 43.500 (47.086)	Prec@5 76.000 (77.606)
Epoch: [33][7080/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.0508 (2.0590)	Prec@1 46.500 (47.085)	Prec@5 75.500 (77.605)
Epoch: [33][7090/9018]	Time 0.685 (0.611)	Data 0.001 (0.001)	Loss 2.0497 (2.0591)	Prec@1 53.000 (47.085)	Prec@5 76.000 (77.605)
Epoch: [33][7100/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0552 (2.0591)	Prec@1 44.500 (47.083)	Prec@5 79.000 (77.605)
Epoch: [33][7110/9018]	Time 0.624 (0.611)	Data 0.001 (0.001)	Loss 1.8747 (2.0590)	Prec@1 47.000 (47.085)	Prec@5 80.500 (77.608)
Epoch: [33][7120/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.0269 (2.0590)	Prec@1 51.000 (47.085)	Prec@5 79.000 (77.607)
Epoch: [33][7130/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.2957 (2.0591)	Prec@1 45.000 (47.085)	Prec@5 72.000 (77.607)
Epoch: [33][7140/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1602 (2.0590)	Prec@1 45.000 (47.084)	Prec@5 76.500 (77.608)
Epoch: [33][7150/9018]	Time 0.619 (0.611)	Data 0.001 (0.001)	Loss 1.9758 (2.0590)	Prec@1 44.000 (47.084)	Prec@5 82.000 (77.609)
Epoch: [33][7160/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.0200 (2.0590)	Prec@1 43.000 (47.084)	Prec@5 77.500 (77.609)
Epoch: [33][7170/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.2228 (2.0590)	Prec@1 45.500 (47.083)	Prec@5 74.500 (77.608)
Epoch: [33][7180/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 2.1327 (2.0590)	Prec@1 41.500 (47.082)	Prec@5 77.000 (77.610)
Epoch: [33][7190/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.1371 (2.0591)	Prec@1 48.000 (47.080)	Prec@5 76.000 (77.606)
Epoch: [33][7200/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.1687 (2.0592)	Prec@1 44.000 (47.078)	Prec@5 76.500 (77.605)
Epoch: [33][7210/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1488 (2.0593)	Prec@1 42.000 (47.076)	Prec@5 75.000 (77.602)
Epoch: [33][7220/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.8397 (2.0594)	Prec@1 50.000 (47.073)	Prec@5 83.000 (77.602)
Epoch: [33][7230/9018]	Time 0.628 (0.611)	Data 0.001 (0.001)	Loss 2.1262 (2.0594)	Prec@1 49.000 (47.073)	Prec@5 72.000 (77.601)
Epoch: [33][7240/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.1600 (2.0594)	Prec@1 46.500 (47.073)	Prec@5 76.500 (77.602)
Epoch: [33][7250/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.0321 (2.0594)	Prec@1 46.000 (47.071)	Prec@5 75.500 (77.601)
Epoch: [33][7260/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.9451 (2.0595)	Prec@1 47.000 (47.072)	Prec@5 81.500 (77.601)
Epoch: [33][7270/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.3464 (2.0595)	Prec@1 43.500 (47.072)	Prec@5 69.500 (77.601)
Epoch: [33][7280/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 1.9302 (2.0594)	Prec@1 51.000 (47.073)	Prec@5 77.000 (77.602)
Epoch: [33][7290/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.2062 (2.0595)	Prec@1 42.000 (47.070)	Prec@5 73.500 (77.601)
Epoch: [33][7300/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.0566 (2.0594)	Prec@1 46.000 (47.071)	Prec@5 79.500 (77.603)
Epoch: [33][7310/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 1.9489 (2.0594)	Prec@1 43.000 (47.070)	Prec@5 81.000 (77.603)
Epoch: [33][7320/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.1013 (2.0594)	Prec@1 46.500 (47.072)	Prec@5 76.000 (77.603)
Epoch: [33][7330/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.2711 (2.0593)	Prec@1 39.500 (47.073)	Prec@5 75.000 (77.602)
Epoch: [33][7340/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1132 (2.0593)	Prec@1 44.000 (47.073)	Prec@5 75.000 (77.602)
Epoch: [33][7350/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.2420 (2.0593)	Prec@1 44.500 (47.074)	Prec@5 77.000 (77.602)
Epoch: [33][7360/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.1896 (2.0593)	Prec@1 43.000 (47.075)	Prec@5 74.500 (77.602)
Epoch: [33][7370/9018]	Time 0.727 (0.611)	Data 0.001 (0.001)	Loss 2.4301 (2.0593)	Prec@1 37.000 (47.074)	Prec@5 72.500 (77.601)
Epoch: [33][7380/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.9140 (2.0593)	Prec@1 47.500 (47.074)	Prec@5 77.000 (77.601)
Epoch: [33][7390/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.0041 (2.0594)	Prec@1 48.000 (47.072)	Prec@5 78.500 (77.600)
Epoch: [33][7400/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.0430 (2.0594)	Prec@1 44.000 (47.071)	Prec@5 82.500 (77.601)
Epoch: [33][7410/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0771 (2.0594)	Prec@1 48.000 (47.072)	Prec@5 76.500 (77.601)
Epoch: [33][7420/9018]	Time 0.730 (0.611)	Data 0.001 (0.001)	Loss 2.0912 (2.0593)	Prec@1 44.500 (47.075)	Prec@5 76.000 (77.603)
Epoch: [33][7430/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9520 (2.0593)	Prec@1 49.500 (47.076)	Prec@5 79.000 (77.604)
Epoch: [33][7440/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1397 (2.0592)	Prec@1 46.500 (47.076)	Prec@5 76.500 (77.605)
Epoch: [33][7450/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 1.9857 (2.0592)	Prec@1 48.000 (47.075)	Prec@5 80.500 (77.606)
Epoch: [33][7460/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 1.8692 (2.0592)	Prec@1 54.000 (47.076)	Prec@5 78.500 (77.606)
Epoch: [33][7470/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1165 (2.0593)	Prec@1 46.000 (47.073)	Prec@5 79.000 (77.605)
Epoch: [33][7480/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 2.1812 (2.0593)	Prec@1 47.000 (47.074)	Prec@5 74.500 (77.605)
Epoch: [33][7490/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.2095 (2.0593)	Prec@1 40.500 (47.073)	Prec@5 73.000 (77.604)
Epoch: [33][7500/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 2.0496 (2.0593)	Prec@1 46.000 (47.072)	Prec@5 78.000 (77.603)
Epoch: [33][7510/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.8814 (2.0593)	Prec@1 51.000 (47.073)	Prec@5 82.500 (77.605)
Epoch: [33][7520/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 1.9741 (2.0593)	Prec@1 47.500 (47.073)	Prec@5 81.000 (77.605)
Epoch: [33][7530/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9972 (2.0591)	Prec@1 51.000 (47.076)	Prec@5 79.000 (77.608)
Epoch: [33][7540/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.9895 (2.0592)	Prec@1 44.500 (47.073)	Prec@5 79.000 (77.606)
Epoch: [33][7550/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.2871 (2.0593)	Prec@1 43.000 (47.072)	Prec@5 71.500 (77.605)
Epoch: [33][7560/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.1993 (2.0593)	Prec@1 40.500 (47.072)	Prec@5 75.000 (77.604)
Epoch: [33][7570/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 1.8165 (2.0593)	Prec@1 51.000 (47.071)	Prec@5 79.500 (77.603)
Epoch: [33][7580/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 2.2464 (2.0594)	Prec@1 41.500 (47.069)	Prec@5 77.000 (77.602)
Epoch: [33][7590/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0352 (2.0595)	Prec@1 50.500 (47.068)	Prec@5 78.000 (77.600)
Epoch: [33][7600/9018]	Time 0.632 (0.611)	Data 0.001 (0.001)	Loss 2.1339 (2.0595)	Prec@1 41.500 (47.068)	Prec@5 78.000 (77.599)
Epoch: [33][7610/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.0033 (2.0595)	Prec@1 48.000 (47.068)	Prec@5 79.000 (77.600)
Epoch: [33][7620/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 2.2547 (2.0596)	Prec@1 45.000 (47.065)	Prec@5 75.000 (77.598)
Epoch: [33][7630/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.0691 (2.0596)	Prec@1 49.000 (47.065)	Prec@5 81.000 (77.599)
Epoch: [33][7640/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 1.9604 (2.0597)	Prec@1 50.000 (47.063)	Prec@5 79.500 (77.598)
Epoch: [33][7650/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.1483 (2.0597)	Prec@1 42.000 (47.062)	Prec@5 78.000 (77.599)
Epoch: [33][7660/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1041 (2.0596)	Prec@1 42.500 (47.061)	Prec@5 74.000 (77.600)
Epoch: [33][7670/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.0755 (2.0596)	Prec@1 43.000 (47.061)	Prec@5 76.500 (77.600)
Epoch: [33][7680/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.2952 (2.0596)	Prec@1 40.000 (47.062)	Prec@5 77.000 (77.599)
Epoch: [33][7690/9018]	Time 0.628 (0.611)	Data 0.001 (0.001)	Loss 2.0683 (2.0598)	Prec@1 46.500 (47.062)	Prec@5 75.500 (77.596)
Epoch: [33][7700/9018]	Time 0.730 (0.611)	Data 0.001 (0.001)	Loss 1.8905 (2.0597)	Prec@1 55.000 (47.063)	Prec@5 81.000 (77.596)
Epoch: [33][7710/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 2.1405 (2.0597)	Prec@1 46.000 (47.066)	Prec@5 73.000 (77.597)
Epoch: [33][7720/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0600 (2.0597)	Prec@1 48.500 (47.065)	Prec@5 76.000 (77.596)
Epoch: [33][7730/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.0871 (2.0598)	Prec@1 42.000 (47.064)	Prec@5 77.500 (77.595)
Epoch: [33][7740/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.2417 (2.0598)	Prec@1 43.000 (47.062)	Prec@5 75.500 (77.595)
Epoch: [33][7750/9018]	Time 0.724 (0.611)	Data 0.001 (0.001)	Loss 2.1770 (2.0598)	Prec@1 42.500 (47.061)	Prec@5 74.000 (77.595)
Epoch: [33][7760/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 1.8905 (2.0598)	Prec@1 49.000 (47.063)	Prec@5 79.500 (77.598)
Epoch: [33][7770/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0808 (2.0598)	Prec@1 47.000 (47.063)	Prec@5 76.000 (77.597)
Epoch: [33][7780/9018]	Time 0.613 (0.611)	Data 0.001 (0.001)	Loss 1.9670 (2.0598)	Prec@1 48.000 (47.063)	Prec@5 80.000 (77.597)
Epoch: [33][7790/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0335 (2.0597)	Prec@1 44.500 (47.064)	Prec@5 80.000 (77.599)
Epoch: [33][7800/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 2.0665 (2.0597)	Prec@1 49.000 (47.064)	Prec@5 78.500 (77.600)
Epoch: [33][7810/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.9093 (2.0597)	Prec@1 53.500 (47.065)	Prec@5 81.500 (77.601)
Epoch: [33][7820/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.8858 (2.0596)	Prec@1 53.500 (47.067)	Prec@5 81.000 (77.601)
Epoch: [33][7830/9018]	Time 0.631 (0.611)	Data 0.001 (0.001)	Loss 2.1592 (2.0596)	Prec@1 47.000 (47.069)	Prec@5 77.000 (77.600)
Epoch: [33][7840/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.2558 (2.0597)	Prec@1 40.000 (47.067)	Prec@5 76.500 (77.599)
Epoch: [33][7850/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 1.8178 (2.0597)	Prec@1 52.500 (47.067)	Prec@5 79.500 (77.599)
Epoch: [33][7860/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.2381 (2.0598)	Prec@1 45.000 (47.064)	Prec@5 77.000 (77.597)
Epoch: [33][7870/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.7593 (2.0597)	Prec@1 54.500 (47.064)	Prec@5 81.500 (77.598)
Epoch: [33][7880/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.0544 (2.0598)	Prec@1 51.000 (47.063)	Prec@5 79.500 (77.598)
Epoch: [33][7890/9018]	Time 0.589 (0.612)	Data 0.001 (0.001)	Loss 2.0106 (2.0598)	Prec@1 51.500 (47.063)	Prec@5 78.500 (77.598)
Epoch: [33][7900/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.1706 (2.0598)	Prec@1 42.500 (47.059)	Prec@5 81.000 (77.598)
Epoch: [33][7910/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.0077 (2.0598)	Prec@1 46.000 (47.060)	Prec@5 79.500 (77.598)
Epoch: [33][7920/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.0899 (2.0599)	Prec@1 48.000 (47.058)	Prec@5 77.000 (77.596)
Epoch: [33][7930/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.0477 (2.0599)	Prec@1 44.000 (47.058)	Prec@5 77.000 (77.598)
Epoch: [33][7940/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.1836 (2.0600)	Prec@1 44.000 (47.056)	Prec@5 74.500 (77.597)
Epoch: [33][7950/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.1690 (2.0600)	Prec@1 44.000 (47.055)	Prec@5 75.500 (77.597)
Epoch: [33][7960/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.0615 (2.0599)	Prec@1 45.500 (47.054)	Prec@5 76.000 (77.597)
Epoch: [33][7970/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.0063 (2.0599)	Prec@1 51.500 (47.055)	Prec@5 80.000 (77.598)
Epoch: [33][7980/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 1.9696 (2.0597)	Prec@1 49.000 (47.057)	Prec@5 76.000 (77.601)
Epoch: [33][7990/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 1.9995 (2.0597)	Prec@1 50.000 (47.058)	Prec@5 78.500 (77.602)
Epoch: [33][8000/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.1564 (2.0597)	Prec@1 45.000 (47.057)	Prec@5 80.500 (77.602)
Epoch: [33][8010/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.0633 (2.0597)	Prec@1 47.500 (47.057)	Prec@5 73.500 (77.602)
Epoch: [33][8020/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.2815 (2.0598)	Prec@1 40.500 (47.057)	Prec@5 75.000 (77.601)
Epoch: [33][8030/9018]	Time 0.722 (0.612)	Data 0.001 (0.001)	Loss 2.0584 (2.0597)	Prec@1 47.500 (47.060)	Prec@5 76.500 (77.602)
Epoch: [33][8040/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.2622 (2.0598)	Prec@1 47.000 (47.059)	Prec@5 75.000 (77.602)
Epoch: [33][8050/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 1.8490 (2.0598)	Prec@1 51.500 (47.059)	Prec@5 81.500 (77.602)
Epoch: [33][8060/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.1032 (2.0598)	Prec@1 50.000 (47.058)	Prec@5 76.500 (77.601)
Epoch: [33][8070/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.1287 (2.0599)	Prec@1 40.000 (47.057)	Prec@5 74.500 (77.600)
Epoch: [33][8080/9018]	Time 0.719 (0.612)	Data 0.001 (0.001)	Loss 2.3285 (2.0599)	Prec@1 41.500 (47.057)	Prec@5 73.000 (77.600)
Epoch: [33][8090/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 1.9855 (2.0599)	Prec@1 49.500 (47.057)	Prec@5 76.000 (77.600)
Epoch: [33][8100/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.0958 (2.0599)	Prec@1 50.000 (47.057)	Prec@5 76.000 (77.601)
Epoch: [33][8110/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.2110 (2.0598)	Prec@1 44.000 (47.058)	Prec@5 75.500 (77.601)
Epoch: [33][8120/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.9541 (2.0598)	Prec@1 49.500 (47.058)	Prec@5 78.500 (77.602)
Epoch: [33][8130/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.0049 (2.0599)	Prec@1 45.000 (47.057)	Prec@5 79.500 (77.600)
Epoch: [33][8140/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 1.9907 (2.0599)	Prec@1 49.000 (47.056)	Prec@5 79.000 (77.600)
Epoch: [33][8150/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1504 (2.0600)	Prec@1 42.000 (47.053)	Prec@5 78.500 (77.598)
Epoch: [33][8160/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.2420 (2.0601)	Prec@1 40.500 (47.051)	Prec@5 74.500 (77.596)
Epoch: [33][8170/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.3203 (2.0602)	Prec@1 42.000 (47.050)	Prec@5 74.000 (77.595)
Epoch: [33][8180/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.9823 (2.0602)	Prec@1 48.500 (47.050)	Prec@5 79.500 (77.593)
Epoch: [33][8190/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 2.1824 (2.0602)	Prec@1 50.000 (47.049)	Prec@5 75.500 (77.594)
Epoch: [33][8200/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.2257 (2.0603)	Prec@1 45.500 (47.049)	Prec@5 76.000 (77.595)
Epoch: [33][8210/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.0066 (2.0602)	Prec@1 47.000 (47.051)	Prec@5 79.000 (77.595)
Epoch: [33][8220/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.9939 (2.0602)	Prec@1 50.500 (47.052)	Prec@5 81.500 (77.595)
Epoch: [33][8230/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.9076 (2.0602)	Prec@1 47.500 (47.052)	Prec@5 82.000 (77.596)
Epoch: [33][8240/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.2307 (2.0602)	Prec@1 44.500 (47.051)	Prec@5 78.000 (77.594)
Epoch: [33][8250/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.9077 (2.0602)	Prec@1 49.000 (47.052)	Prec@5 82.000 (77.593)
Epoch: [33][8260/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.1636 (2.0602)	Prec@1 45.000 (47.051)	Prec@5 74.000 (77.593)
Epoch: [33][8270/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.0244 (2.0602)	Prec@1 49.000 (47.050)	Prec@5 78.500 (77.594)
Epoch: [33][8280/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.0656 (2.0603)	Prec@1 50.000 (47.048)	Prec@5 77.500 (77.594)
Epoch: [33][8290/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 2.1661 (2.0603)	Prec@1 46.500 (47.048)	Prec@5 76.000 (77.596)
Epoch: [33][8300/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 1.9917 (2.0604)	Prec@1 50.000 (47.047)	Prec@5 78.500 (77.595)
Epoch: [33][8310/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.1234 (2.0604)	Prec@1 47.500 (47.047)	Prec@5 78.000 (77.596)
Epoch: [33][8320/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.9126 (2.0604)	Prec@1 51.000 (47.046)	Prec@5 84.000 (77.595)
Epoch: [33][8330/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.1283 (2.0604)	Prec@1 43.000 (47.046)	Prec@5 75.500 (77.595)
Epoch: [33][8340/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.0978 (2.0605)	Prec@1 43.000 (47.046)	Prec@5 77.500 (77.594)
Epoch: [33][8350/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 1.8619 (2.0605)	Prec@1 51.500 (47.046)	Prec@5 82.000 (77.593)
Epoch: [33][8360/9018]	Time 0.724 (0.612)	Data 0.001 (0.001)	Loss 1.9568 (2.0605)	Prec@1 49.000 (47.049)	Prec@5 80.500 (77.593)
Epoch: [33][8370/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.1716 (2.0605)	Prec@1 42.500 (47.047)	Prec@5 77.000 (77.593)
Epoch: [33][8380/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.2258 (2.0606)	Prec@1 41.000 (47.046)	Prec@5 75.000 (77.592)
Epoch: [33][8390/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.0560 (2.0605)	Prec@1 45.500 (47.048)	Prec@5 76.500 (77.592)
Epoch: [33][8400/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 1.9655 (2.0605)	Prec@1 51.000 (47.049)	Prec@5 80.500 (77.594)
Epoch: [33][8410/9018]	Time 0.725 (0.612)	Data 0.001 (0.001)	Loss 2.0903 (2.0605)	Prec@1 43.000 (47.052)	Prec@5 79.000 (77.595)
Epoch: [33][8420/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.3262 (2.0605)	Prec@1 47.500 (47.051)	Prec@5 71.000 (77.594)
Epoch: [33][8430/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1979 (2.0606)	Prec@1 47.000 (47.051)	Prec@5 75.000 (77.594)
Epoch: [33][8440/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 1.9713 (2.0606)	Prec@1 44.500 (47.051)	Prec@5 78.500 (77.593)
Epoch: [33][8450/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.0814 (2.0606)	Prec@1 48.500 (47.052)	Prec@5 79.000 (77.593)
Epoch: [33][8460/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 1.9547 (2.0605)	Prec@1 48.500 (47.054)	Prec@5 80.500 (77.593)
Epoch: [33][8470/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.2814 (2.0605)	Prec@1 40.000 (47.052)	Prec@5 76.000 (77.593)
Epoch: [33][8480/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.1191 (2.0604)	Prec@1 46.000 (47.053)	Prec@5 74.500 (77.595)
Epoch: [33][8490/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 1.9556 (2.0604)	Prec@1 49.000 (47.055)	Prec@5 76.500 (77.594)
Epoch: [33][8500/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 1.9580 (2.0604)	Prec@1 44.500 (47.054)	Prec@5 79.000 (77.593)
Epoch: [33][8510/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.2003 (2.0604)	Prec@1 44.000 (47.053)	Prec@5 76.000 (77.593)
Epoch: [33][8520/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.0642 (2.0604)	Prec@1 41.000 (47.053)	Prec@5 80.000 (77.594)
Epoch: [33][8530/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.2490 (2.0604)	Prec@1 45.000 (47.053)	Prec@5 74.500 (77.592)
Epoch: [33][8540/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.3666 (2.0604)	Prec@1 37.000 (47.054)	Prec@5 71.500 (77.593)
Epoch: [33][8550/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 1.8464 (2.0604)	Prec@1 51.500 (47.054)	Prec@5 84.500 (77.593)
Epoch: [33][8560/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 1.9538 (2.0605)	Prec@1 52.000 (47.054)	Prec@5 81.000 (77.593)
Epoch: [33][8570/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.1274 (2.0605)	Prec@1 42.000 (47.053)	Prec@5 75.500 (77.593)
Epoch: [33][8580/9018]	Time 0.614 (0.612)	Data 0.001 (0.001)	Loss 2.0336 (2.0605)	Prec@1 47.000 (47.051)	Prec@5 80.000 (77.593)
Epoch: [33][8590/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 1.9837 (2.0606)	Prec@1 47.500 (47.047)	Prec@5 81.500 (77.592)
Epoch: [33][8600/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.0580 (2.0606)	Prec@1 44.500 (47.046)	Prec@5 78.000 (77.592)
Epoch: [33][8610/9018]	Time 0.631 (0.612)	Data 0.001 (0.001)	Loss 2.1669 (2.0606)	Prec@1 41.500 (47.046)	Prec@5 75.000 (77.593)
Epoch: [33][8620/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.1729 (2.0606)	Prec@1 47.000 (47.046)	Prec@5 76.500 (77.593)
Epoch: [33][8630/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 1.9403 (2.0605)	Prec@1 51.500 (47.049)	Prec@5 77.500 (77.594)
Epoch: [33][8640/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.3234 (2.0606)	Prec@1 43.500 (47.047)	Prec@5 70.500 (77.592)
Epoch: [33][8650/9018]	Time 0.614 (0.612)	Data 0.001 (0.001)	Loss 2.1435 (2.0606)	Prec@1 41.500 (47.047)	Prec@5 76.000 (77.593)
Epoch: [33][8660/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.3823 (2.0606)	Prec@1 35.500 (47.045)	Prec@5 73.500 (77.593)
Epoch: [33][8670/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 2.0218 (2.0606)	Prec@1 51.000 (47.044)	Prec@5 75.000 (77.593)
Epoch: [33][8680/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.0949 (2.0607)	Prec@1 47.500 (47.043)	Prec@5 75.500 (77.591)
Epoch: [33][8690/9018]	Time 0.721 (0.612)	Data 0.001 (0.001)	Loss 1.8905 (2.0607)	Prec@1 52.500 (47.045)	Prec@5 80.000 (77.592)
Epoch: [33][8700/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 1.9779 (2.0607)	Prec@1 50.500 (47.045)	Prec@5 78.500 (77.593)
Epoch: [33][8710/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 1.9907 (2.0607)	Prec@1 47.500 (47.045)	Prec@5 78.500 (77.591)
Epoch: [33][8720/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.0842 (2.0607)	Prec@1 43.500 (47.043)	Prec@5 80.000 (77.591)
Epoch: [33][8730/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.0087 (2.0607)	Prec@1 52.000 (47.046)	Prec@5 76.500 (77.592)
Epoch: [33][8740/9018]	Time 0.727 (0.612)	Data 0.001 (0.001)	Loss 1.9981 (2.0608)	Prec@1 48.000 (47.045)	Prec@5 80.000 (77.590)
Epoch: [33][8750/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 1.9602 (2.0608)	Prec@1 50.500 (47.044)	Prec@5 77.000 (77.588)
Epoch: [33][8760/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 2.0178 (2.0609)	Prec@1 47.000 (47.043)	Prec@5 82.000 (77.587)
Epoch: [33][8770/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.0478 (2.0608)	Prec@1 45.500 (47.043)	Prec@5 78.000 (77.588)
Epoch: [33][8780/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 2.1240 (2.0609)	Prec@1 48.000 (47.042)	Prec@5 74.500 (77.587)
Epoch: [33][8790/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.1241 (2.0609)	Prec@1 45.500 (47.043)	Prec@5 75.500 (77.587)
Epoch: [33][8800/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.2075 (2.0608)	Prec@1 44.000 (47.044)	Prec@5 72.500 (77.589)
Epoch: [33][8810/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.2869 (2.0609)	Prec@1 46.000 (47.044)	Prec@5 77.500 (77.589)
Epoch: [33][8820/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.0582 (2.0608)	Prec@1 45.500 (47.045)	Prec@5 78.000 (77.589)
Epoch: [33][8830/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.1972 (2.0608)	Prec@1 45.500 (47.046)	Prec@5 73.500 (77.590)
Epoch: [33][8840/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 2.1368 (2.0609)	Prec@1 51.000 (47.048)	Prec@5 76.000 (77.588)
Epoch: [33][8850/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.0645 (2.0608)	Prec@1 45.500 (47.047)	Prec@5 78.000 (77.589)
Epoch: [33][8860/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.1974 (2.0608)	Prec@1 45.500 (47.047)	Prec@5 77.000 (77.589)
Epoch: [33][8870/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.0288 (2.0608)	Prec@1 46.500 (47.047)	Prec@5 78.000 (77.589)
Epoch: [33][8880/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 1.7955 (2.0607)	Prec@1 51.500 (47.049)	Prec@5 81.000 (77.591)
Epoch: [33][8890/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 1.9342 (2.0606)	Prec@1 49.000 (47.049)	Prec@5 77.000 (77.593)
Epoch: [33][8900/9018]	Time 0.614 (0.612)	Data 0.001 (0.001)	Loss 2.3438 (2.0607)	Prec@1 42.000 (47.048)	Prec@5 73.500 (77.591)
Epoch: [33][8910/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 1.9713 (2.0607)	Prec@1 50.000 (47.047)	Prec@5 80.000 (77.591)
Epoch: [33][8920/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.2225 (2.0607)	Prec@1 43.000 (47.047)	Prec@5 76.000 (77.592)
Epoch: [33][8930/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.0884 (2.0607)	Prec@1 47.000 (47.048)	Prec@5 76.000 (77.591)
Epoch: [33][8940/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.9859 (2.0607)	Prec@1 48.000 (47.046)	Prec@5 76.500 (77.591)
Epoch: [33][8950/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 2.0191 (2.0607)	Prec@1 44.000 (47.045)	Prec@5 79.500 (77.590)
Epoch: [33][8960/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.9960 (2.0608)	Prec@1 48.500 (47.043)	Prec@5 77.500 (77.589)
Epoch: [33][8970/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.0968 (2.0607)	Prec@1 47.000 (47.043)	Prec@5 78.000 (77.590)
Epoch: [33][8980/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.9421 (2.0607)	Prec@1 51.500 (47.042)	Prec@5 79.000 (77.589)
Epoch: [33][8990/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 1.9527 (2.0607)	Prec@1 50.000 (47.043)	Prec@5 79.000 (77.590)
Epoch: [33][9000/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1076 (2.0608)	Prec@1 43.500 (47.041)	Prec@5 80.000 (77.589)
Epoch: [33][9010/9018]	Time 0.596 (0.612)	Data 0.000 (0.001)	Loss 2.0250 (2.0607)	Prec@1 48.500 (47.041)	Prec@5 81.500 (77.590)
Test: [0/183]	Time 1.321 (1.321)	Loss 2.4347 (2.4347)	Prec@1 37.500 (37.500)	Prec@5 72.000 (72.000)
Test: [10/183]	Time 0.185 (0.307)	Loss 1.6524 (1.6806)	Prec@1 60.500 (55.455)	Prec@5 83.500 (84.818)
Test: [20/183]	Time 0.182 (0.253)	Loss 2.2572 (1.6884)	Prec@1 40.500 (54.786)	Prec@5 79.000 (84.524)
Test: [30/183]	Time 0.188 (0.234)	Loss 2.3719 (1.6981)	Prec@1 29.500 (53.823)	Prec@5 74.500 (84.710)
Test: [40/183]	Time 0.188 (0.225)	Loss 2.2668 (1.7036)	Prec@1 37.000 (54.256)	Prec@5 77.000 (84.012)
Test: [50/183]	Time 0.192 (0.218)	Loss 1.5287 (1.6784)	Prec@1 56.000 (55.049)	Prec@5 87.000 (84.265)
Test: [60/183]	Time 0.188 (0.215)	Loss 2.0774 (1.7423)	Prec@1 48.000 (53.156)	Prec@5 77.000 (83.484)
Test: [70/183]	Time 0.186 (0.212)	Loss 1.7606 (1.7255)	Prec@1 47.000 (53.458)	Prec@5 86.500 (83.908)
Test: [80/183]	Time 0.182 (0.209)	Loss 1.4692 (1.7195)	Prec@1 56.000 (53.247)	Prec@5 92.500 (84.037)
Test: [90/183]	Time 0.191 (0.207)	Loss 2.2416 (1.7221)	Prec@1 42.000 (53.187)	Prec@5 75.000 (84.044)
Test: [100/183]	Time 0.198 (0.206)	Loss 0.8096 (1.7198)	Prec@1 76.500 (53.441)	Prec@5 95.500 (84.114)
Test: [110/183]	Time 0.187 (0.205)	Loss 0.7338 (1.7215)	Prec@1 82.500 (53.324)	Prec@5 96.500 (84.081)
Test: [120/183]	Time 0.184 (0.204)	Loss 2.2552 (1.7270)	Prec@1 43.000 (53.087)	Prec@5 67.500 (84.045)
Test: [130/183]	Time 0.188 (0.203)	Loss 2.9757 (1.7320)	Prec@1 20.500 (52.916)	Prec@5 66.000 (84.122)
Test: [140/183]	Time 0.199 (0.203)	Loss 1.6445 (1.7215)	Prec@1 57.000 (53.252)	Prec@5 85.000 (84.287)
Test: [150/183]	Time 0.186 (0.202)	Loss 0.7361 (1.7201)	Prec@1 82.000 (53.377)	Prec@5 99.000 (84.291)
Test: [160/183]	Time 0.183 (0.202)	Loss 1.6499 (1.7170)	Prec@1 54.500 (53.587)	Prec@5 80.000 (84.292)
Test: [170/183]	Time 0.194 (0.201)	Loss 2.2975 (1.7368)	Prec@1 29.500 (53.070)	Prec@5 81.000 (83.939)
Test: [180/183]	Time 0.184 (0.200)	Loss 2.3382 (1.7479)	Prec@1 37.000 (52.887)	Prec@5 77.000 (83.757)
 * Prec@1 52.866 Prec@5 83.732
Epoch: [34][0/9018]	Time 2.693 (2.693)	Data 2.069 (2.069)	Loss 2.0326 (2.0326)	Prec@1 44.000 (44.000)	Prec@5 78.500 (78.500)
Epoch: [34][10/9018]	Time 0.606 (0.809)	Data 0.001 (0.189)	Loss 2.0820 (1.9932)	Prec@1 45.000 (48.455)	Prec@5 77.000 (78.909)
Epoch: [34][20/9018]	Time 0.602 (0.714)	Data 0.001 (0.099)	Loss 2.0475 (2.0164)	Prec@1 46.000 (48.167)	Prec@5 76.500 (78.333)
Epoch: [34][30/9018]	Time 0.605 (0.678)	Data 0.001 (0.067)	Loss 2.2517 (2.0115)	Prec@1 47.500 (48.258)	Prec@5 76.000 (78.758)
Epoch: [34][40/9018]	Time 0.600 (0.663)	Data 0.001 (0.051)	Loss 1.9750 (2.0208)	Prec@1 47.500 (47.951)	Prec@5 80.500 (78.549)
Epoch: [34][50/9018]	Time 0.606 (0.651)	Data 0.001 (0.041)	Loss 2.0759 (2.0200)	Prec@1 48.500 (48.049)	Prec@5 76.000 (78.588)
Epoch: [34][60/9018]	Time 0.614 (0.645)	Data 0.001 (0.035)	Loss 2.2255 (2.0226)	Prec@1 42.000 (47.828)	Prec@5 77.500 (78.492)
Epoch: [34][70/9018]	Time 0.599 (0.642)	Data 0.001 (0.030)	Loss 1.8564 (2.0304)	Prec@1 52.500 (47.676)	Prec@5 80.000 (78.317)
Epoch: [34][80/9018]	Time 0.602 (0.638)	Data 0.001 (0.026)	Loss 1.9856 (2.0224)	Prec@1 45.500 (47.772)	Prec@5 78.000 (78.426)
Epoch: [34][90/9018]	Time 0.602 (0.635)	Data 0.001 (0.024)	Loss 2.0539 (2.0320)	Prec@1 45.000 (47.429)	Prec@5 78.500 (78.341)
Epoch: [34][100/9018]	Time 0.751 (0.634)	Data 0.001 (0.021)	Loss 2.0784 (2.0264)	Prec@1 48.000 (47.446)	Prec@5 76.500 (78.426)
Epoch: [34][110/9018]	Time 0.604 (0.632)	Data 0.001 (0.019)	Loss 2.0949 (2.0271)	Prec@1 48.500 (47.500)	Prec@5 77.000 (78.333)
Epoch: [34][120/9018]	Time 0.601 (0.631)	Data 0.001 (0.018)	Loss 2.2178 (2.0288)	Prec@1 45.500 (47.450)	Prec@5 73.500 (78.277)
Epoch: [34][130/9018]	Time 0.614 (0.629)	Data 0.001 (0.017)	Loss 1.9001 (2.0265)	Prec@1 47.000 (47.481)	Prec@5 81.500 (78.321)
Epoch: [34][140/9018]	Time 0.605 (0.628)	Data 0.001 (0.015)	Loss 2.2155 (2.0297)	Prec@1 39.000 (47.408)	Prec@5 77.500 (78.291)
Epoch: [34][150/9018]	Time 0.728 (0.628)	Data 0.001 (0.015)	Loss 2.0463 (2.0307)	Prec@1 49.000 (47.404)	Prec@5 78.000 (78.325)
Epoch: [34][160/9018]	Time 0.607 (0.626)	Data 0.001 (0.014)	Loss 1.9006 (2.0312)	Prec@1 51.000 (47.394)	Prec@5 80.500 (78.248)
Epoch: [34][170/9018]	Time 0.593 (0.625)	Data 0.001 (0.013)	Loss 2.0868 (2.0289)	Prec@1 43.000 (47.401)	Prec@5 77.500 (78.284)
Epoch: [34][180/9018]	Time 0.608 (0.625)	Data 0.001 (0.012)	Loss 1.8873 (2.0282)	Prec@1 53.000 (47.398)	Prec@5 82.500 (78.260)
Epoch: [34][190/9018]	Time 0.630 (0.624)	Data 0.001 (0.012)	Loss 1.8811 (2.0274)	Prec@1 49.500 (47.414)	Prec@5 81.500 (78.275)
Epoch: [34][200/9018]	Time 0.602 (0.624)	Data 0.001 (0.011)	Loss 2.3047 (2.0304)	Prec@1 43.500 (47.410)	Prec@5 72.000 (78.164)
Epoch: [34][210/9018]	Time 0.599 (0.623)	Data 0.001 (0.011)	Loss 2.0252 (2.0327)	Prec@1 50.500 (47.377)	Prec@5 77.500 (78.102)
Epoch: [34][220/9018]	Time 0.629 (0.623)	Data 0.001 (0.010)	Loss 2.0706 (2.0340)	Prec@1 49.000 (47.371)	Prec@5 76.500 (78.020)
Epoch: [34][230/9018]	Time 0.606 (0.622)	Data 0.001 (0.010)	Loss 2.1542 (2.0355)	Prec@1 45.000 (47.359)	Prec@5 76.500 (77.950)
Epoch: [34][240/9018]	Time 0.607 (0.622)	Data 0.001 (0.009)	Loss 2.0743 (2.0340)	Prec@1 45.000 (47.367)	Prec@5 77.500 (77.967)
Epoch: [34][250/9018]	Time 0.604 (0.622)	Data 0.001 (0.009)	Loss 1.9409 (2.0331)	Prec@1 52.500 (47.388)	Prec@5 81.500 (78.002)
Epoch: [34][260/9018]	Time 0.601 (0.622)	Data 0.001 (0.009)	Loss 2.1414 (2.0353)	Prec@1 49.000 (47.374)	Prec@5 77.000 (77.958)
Epoch: [34][270/9018]	Time 0.605 (0.622)	Data 0.001 (0.008)	Loss 1.8627 (2.0343)	Prec@1 52.500 (47.424)	Prec@5 80.500 (77.989)
Epoch: [34][280/9018]	Time 0.599 (0.621)	Data 0.001 (0.008)	Loss 1.9514 (2.0346)	Prec@1 52.500 (47.399)	Prec@5 84.500 (78.009)
Epoch: [34][290/9018]	Time 0.608 (0.621)	Data 0.001 (0.008)	Loss 1.8633 (2.0326)	Prec@1 54.000 (47.466)	Prec@5 77.500 (78.005)
Epoch: [34][300/9018]	Time 0.605 (0.621)	Data 0.001 (0.008)	Loss 2.0043 (2.0335)	Prec@1 47.000 (47.452)	Prec@5 79.500 (78.002)
Epoch: [34][310/9018]	Time 0.609 (0.621)	Data 0.001 (0.007)	Loss 2.2157 (2.0329)	Prec@1 43.500 (47.465)	Prec@5 70.000 (77.997)
Epoch: [34][320/9018]	Time 0.602 (0.621)	Data 0.001 (0.007)	Loss 2.1618 (2.0324)	Prec@1 40.000 (47.439)	Prec@5 77.000 (78.011)
Epoch: [34][330/9018]	Time 0.618 (0.620)	Data 0.001 (0.007)	Loss 2.1639 (2.0349)	Prec@1 46.500 (47.387)	Prec@5 74.500 (77.994)
Epoch: [34][340/9018]	Time 0.605 (0.620)	Data 0.001 (0.007)	Loss 2.0879 (2.0336)	Prec@1 47.500 (47.428)	Prec@5 79.000 (78.034)
Epoch: [34][350/9018]	Time 0.600 (0.620)	Data 0.001 (0.007)	Loss 1.8429 (2.0318)	Prec@1 49.000 (47.473)	Prec@5 83.500 (78.061)
Epoch: [34][360/9018]	Time 0.624 (0.620)	Data 0.001 (0.007)	Loss 1.9630 (2.0300)	Prec@1 46.000 (47.496)	Prec@5 78.500 (78.100)
Epoch: [34][370/9018]	Time 0.606 (0.620)	Data 0.001 (0.006)	Loss 2.3791 (2.0305)	Prec@1 42.000 (47.465)	Prec@5 70.000 (78.089)
Epoch: [34][380/9018]	Time 0.601 (0.619)	Data 0.001 (0.006)	Loss 2.3204 (2.0335)	Prec@1 41.000 (47.395)	Prec@5 77.000 (78.064)
Epoch: [34][390/9018]	Time 0.602 (0.619)	Data 0.001 (0.006)	Loss 2.1341 (2.0326)	Prec@1 45.500 (47.393)	Prec@5 77.000 (78.079)
Epoch: [34][400/9018]	Time 0.597 (0.619)	Data 0.001 (0.006)	Loss 1.9470 (2.0308)	Prec@1 50.000 (47.423)	Prec@5 81.500 (78.133)
Epoch: [34][410/9018]	Time 0.601 (0.619)	Data 0.001 (0.006)	Loss 2.1295 (2.0305)	Prec@1 44.500 (47.440)	Prec@5 76.500 (78.128)
Epoch: [34][420/9018]	Time 0.608 (0.619)	Data 0.002 (0.006)	Loss 1.9831 (2.0307)	Prec@1 45.000 (47.429)	Prec@5 82.000 (78.132)
Epoch: [34][430/9018]	Time 0.752 (0.619)	Data 0.001 (0.006)	Loss 1.9805 (2.0297)	Prec@1 45.500 (47.459)	Prec@5 77.500 (78.155)
Epoch: [34][440/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 2.1103 (2.0300)	Prec@1 50.000 (47.451)	Prec@5 80.500 (78.158)
Epoch: [34][450/9018]	Time 0.605 (0.619)	Data 0.001 (0.005)	Loss 2.2823 (2.0301)	Prec@1 41.500 (47.431)	Prec@5 76.000 (78.174)
Epoch: [34][460/9018]	Time 0.602 (0.618)	Data 0.001 (0.005)	Loss 2.2236 (2.0305)	Prec@1 47.500 (47.439)	Prec@5 75.500 (78.168)
Epoch: [34][470/9018]	Time 0.597 (0.618)	Data 0.001 (0.005)	Loss 1.9841 (2.0295)	Prec@1 52.000 (47.471)	Prec@5 78.000 (78.175)
Epoch: [34][480/9018]	Time 0.732 (0.619)	Data 0.001 (0.005)	Loss 1.9618 (2.0301)	Prec@1 51.000 (47.481)	Prec@5 77.000 (78.169)
Epoch: [34][490/9018]	Time 0.595 (0.618)	Data 0.001 (0.005)	Loss 2.1986 (2.0292)	Prec@1 43.000 (47.516)	Prec@5 79.500 (78.178)
Epoch: [34][500/9018]	Time 0.605 (0.618)	Data 0.001 (0.005)	Loss 1.9876 (2.0291)	Prec@1 48.500 (47.531)	Prec@5 76.500 (78.173)
Epoch: [34][510/9018]	Time 0.603 (0.618)	Data 0.001 (0.005)	Loss 2.1615 (2.0313)	Prec@1 45.000 (47.485)	Prec@5 76.500 (78.139)
Epoch: [34][520/9018]	Time 0.627 (0.618)	Data 0.001 (0.005)	Loss 2.0939 (2.0303)	Prec@1 48.500 (47.520)	Prec@5 76.000 (78.156)
Epoch: [34][530/9018]	Time 0.599 (0.618)	Data 0.001 (0.005)	Loss 2.0249 (2.0305)	Prec@1 46.500 (47.492)	Prec@5 79.500 (78.169)
Epoch: [34][540/9018]	Time 0.604 (0.618)	Data 0.001 (0.005)	Loss 2.2759 (2.0306)	Prec@1 40.000 (47.500)	Prec@5 74.000 (78.157)
Epoch: [34][550/9018]	Time 0.608 (0.618)	Data 0.001 (0.005)	Loss 2.0608 (2.0312)	Prec@1 45.000 (47.494)	Prec@5 79.000 (78.152)
Epoch: [34][560/9018]	Time 0.617 (0.618)	Data 0.001 (0.004)	Loss 1.9503 (2.0313)	Prec@1 51.500 (47.467)	Prec@5 74.500 (78.138)
Epoch: [34][570/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 1.8363 (2.0312)	Prec@1 49.000 (47.477)	Prec@5 84.000 (78.127)
Epoch: [34][580/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 2.0091 (2.0316)	Prec@1 45.500 (47.461)	Prec@5 79.000 (78.120)
Epoch: [34][590/9018]	Time 0.605 (0.617)	Data 0.001 (0.004)	Loss 2.0526 (2.0329)	Prec@1 44.500 (47.448)	Prec@5 76.000 (78.087)
Epoch: [34][600/9018]	Time 0.621 (0.618)	Data 0.001 (0.004)	Loss 1.8999 (2.0329)	Prec@1 53.500 (47.461)	Prec@5 82.000 (78.072)
Epoch: [34][610/9018]	Time 0.607 (0.617)	Data 0.001 (0.004)	Loss 2.2224 (2.0335)	Prec@1 47.000 (47.437)	Prec@5 76.000 (78.049)
Epoch: [34][620/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 1.9960 (2.0345)	Prec@1 47.000 (47.407)	Prec@5 79.500 (78.019)
Epoch: [34][630/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 1.9616 (2.0336)	Prec@1 50.000 (47.423)	Prec@5 80.000 (78.049)
Epoch: [34][640/9018]	Time 0.608 (0.617)	Data 0.001 (0.004)	Loss 2.0045 (2.0336)	Prec@1 50.000 (47.446)	Prec@5 79.500 (78.042)
Epoch: [34][650/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 2.0531 (2.0342)	Prec@1 50.500 (47.441)	Prec@5 82.000 (78.008)
Epoch: [34][660/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 1.9119 (2.0331)	Prec@1 49.500 (47.470)	Prec@5 78.000 (78.017)
Epoch: [34][670/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 1.8557 (2.0340)	Prec@1 48.500 (47.473)	Prec@5 79.000 (78.016)
Epoch: [34][680/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 1.7777 (2.0336)	Prec@1 55.000 (47.484)	Prec@5 79.500 (78.020)
Epoch: [34][690/9018]	Time 0.617 (0.617)	Data 0.001 (0.004)	Loss 2.1856 (2.0340)	Prec@1 36.000 (47.454)	Prec@5 78.000 (78.024)
Epoch: [34][700/9018]	Time 0.610 (0.617)	Data 0.001 (0.004)	Loss 1.7681 (2.0338)	Prec@1 55.000 (47.462)	Prec@5 81.000 (78.011)
Epoch: [34][710/9018]	Time 0.615 (0.617)	Data 0.001 (0.004)	Loss 1.7627 (2.0343)	Prec@1 52.500 (47.453)	Prec@5 81.500 (77.995)
Epoch: [34][720/9018]	Time 0.606 (0.617)	Data 0.001 (0.004)	Loss 2.2246 (2.0344)	Prec@1 41.500 (47.470)	Prec@5 73.500 (77.992)
Epoch: [34][730/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 1.9589 (2.0338)	Prec@1 47.500 (47.475)	Prec@5 82.000 (78.020)
Epoch: [34][740/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 1.8696 (2.0347)	Prec@1 52.500 (47.458)	Prec@5 82.000 (78.011)
Epoch: [34][750/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 1.9898 (2.0344)	Prec@1 50.000 (47.462)	Prec@5 78.000 (78.020)
Epoch: [34][760/9018]	Time 0.733 (0.617)	Data 0.001 (0.004)	Loss 2.1051 (2.0356)	Prec@1 46.000 (47.453)	Prec@5 74.000 (77.979)
Epoch: [34][770/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 1.9311 (2.0351)	Prec@1 50.000 (47.481)	Prec@5 80.000 (77.985)
Epoch: [34][780/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.8928 (2.0350)	Prec@1 48.500 (47.476)	Prec@5 81.000 (77.985)
Epoch: [34][790/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.1592 (2.0349)	Prec@1 42.500 (47.484)	Prec@5 75.500 (77.984)
Epoch: [34][800/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 1.8860 (2.0343)	Prec@1 51.000 (47.505)	Prec@5 83.000 (78.001)
Epoch: [34][810/9018]	Time 0.716 (0.617)	Data 0.001 (0.003)	Loss 2.0141 (2.0340)	Prec@1 48.500 (47.524)	Prec@5 79.500 (78.006)
Epoch: [34][820/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.1288 (2.0338)	Prec@1 48.500 (47.533)	Prec@5 76.500 (78.007)
Epoch: [34][830/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 1.9987 (2.0340)	Prec@1 46.000 (47.539)	Prec@5 75.500 (77.999)
Epoch: [34][840/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.0150 (2.0332)	Prec@1 47.000 (47.545)	Prec@5 80.000 (78.021)
Epoch: [34][850/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 1.9148 (2.0334)	Prec@1 49.000 (47.553)	Prec@5 83.000 (78.007)
Epoch: [34][860/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.1685 (2.0337)	Prec@1 42.500 (47.544)	Prec@5 74.000 (78.006)
Epoch: [34][870/9018]	Time 0.614 (0.616)	Data 0.001 (0.003)	Loss 1.9792 (2.0342)	Prec@1 48.000 (47.515)	Prec@5 79.000 (78.005)
Epoch: [34][880/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.3072 (2.0349)	Prec@1 41.500 (47.498)	Prec@5 73.500 (77.984)
Epoch: [34][890/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.8375 (2.0345)	Prec@1 53.500 (47.519)	Prec@5 81.000 (77.983)
Epoch: [34][900/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.0064 (2.0348)	Prec@1 52.500 (47.519)	Prec@5 79.000 (77.981)
Epoch: [34][910/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.9513 (2.0353)	Prec@1 50.000 (47.504)	Prec@5 79.000 (77.981)
Epoch: [34][920/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.9791 (2.0353)	Prec@1 47.500 (47.493)	Prec@5 78.000 (77.984)
Epoch: [34][930/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 1.8737 (2.0357)	Prec@1 49.000 (47.475)	Prec@5 80.500 (77.980)
Epoch: [34][940/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.1601 (2.0364)	Prec@1 49.500 (47.464)	Prec@5 77.000 (77.965)
Epoch: [34][950/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.2594 (2.0368)	Prec@1 45.000 (47.448)	Prec@5 76.500 (77.957)
Epoch: [34][960/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.2682 (2.0368)	Prec@1 43.500 (47.454)	Prec@5 70.500 (77.952)
Epoch: [34][970/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.4569 (2.0375)	Prec@1 40.500 (47.441)	Prec@5 70.000 (77.936)
Epoch: [34][980/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 1.8752 (2.0377)	Prec@1 55.000 (47.440)	Prec@5 80.000 (77.936)
Epoch: [34][990/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.8931 (2.0375)	Prec@1 52.500 (47.445)	Prec@5 81.000 (77.944)
Epoch: [34][1000/9018]	Time 0.617 (0.616)	Data 0.001 (0.003)	Loss 1.9448 (2.0378)	Prec@1 50.500 (47.439)	Prec@5 79.500 (77.943)
Epoch: [34][1010/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.9004 (2.0378)	Prec@1 47.000 (47.429)	Prec@5 81.500 (77.955)
Epoch: [34][1020/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.1267 (2.0380)	Prec@1 42.000 (47.420)	Prec@5 78.500 (77.955)
Epoch: [34][1030/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.0306 (2.0383)	Prec@1 48.500 (47.411)	Prec@5 76.000 (77.941)
Epoch: [34][1040/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.0220 (2.0379)	Prec@1 50.000 (47.424)	Prec@5 79.000 (77.952)
Epoch: [34][1050/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 2.0305 (2.0383)	Prec@1 47.000 (47.423)	Prec@5 78.000 (77.941)
Epoch: [34][1060/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.7760 (2.0382)	Prec@1 53.000 (47.426)	Prec@5 82.500 (77.948)
Epoch: [34][1070/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.0158 (2.0385)	Prec@1 46.000 (47.423)	Prec@5 75.500 (77.940)
Epoch: [34][1080/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.1523 (2.0387)	Prec@1 50.000 (47.424)	Prec@5 77.000 (77.947)
Epoch: [34][1090/9018]	Time 0.766 (0.616)	Data 0.001 (0.003)	Loss 2.0568 (2.0385)	Prec@1 42.500 (47.418)	Prec@5 78.000 (77.952)
Epoch: [34][1100/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.9929 (2.0385)	Prec@1 50.500 (47.415)	Prec@5 80.500 (77.952)
Epoch: [34][1110/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.0633 (2.0384)	Prec@1 46.500 (47.427)	Prec@5 73.500 (77.956)
Epoch: [34][1120/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 2.1964 (2.0384)	Prec@1 46.000 (47.430)	Prec@5 75.000 (77.954)
Epoch: [34][1130/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.0498 (2.0380)	Prec@1 47.000 (47.438)	Prec@5 75.500 (77.958)
Epoch: [34][1140/9018]	Time 0.725 (0.616)	Data 0.001 (0.003)	Loss 2.0412 (2.0377)	Prec@1 46.000 (47.439)	Prec@5 78.000 (77.966)
Epoch: [34][1150/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.0116 (2.0374)	Prec@1 52.000 (47.443)	Prec@5 78.000 (77.973)
Epoch: [34][1160/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.0545 (2.0378)	Prec@1 51.500 (47.437)	Prec@5 77.000 (77.966)
Epoch: [34][1170/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.1914 (2.0381)	Prec@1 38.500 (47.430)	Prec@5 75.000 (77.960)
Epoch: [34][1180/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.2958 (2.0385)	Prec@1 49.000 (47.421)	Prec@5 72.500 (77.956)
Epoch: [34][1190/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 2.2539 (2.0386)	Prec@1 43.000 (47.424)	Prec@5 74.000 (77.948)
Epoch: [34][1200/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.1746 (2.0383)	Prec@1 44.500 (47.432)	Prec@5 76.000 (77.946)
Epoch: [34][1210/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1046 (2.0380)	Prec@1 47.000 (47.443)	Prec@5 74.500 (77.952)
Epoch: [34][1220/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.1125 (2.0381)	Prec@1 43.000 (47.446)	Prec@5 81.000 (77.950)
Epoch: [34][1230/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.0981 (2.0385)	Prec@1 45.500 (47.440)	Prec@5 78.000 (77.947)
Epoch: [34][1240/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.9504 (2.0385)	Prec@1 48.500 (47.438)	Prec@5 78.000 (77.934)
Epoch: [34][1250/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.2530 (2.0386)	Prec@1 45.000 (47.430)	Prec@5 75.500 (77.942)
Epoch: [34][1260/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.8043 (2.0386)	Prec@1 52.500 (47.423)	Prec@5 81.000 (77.948)
Epoch: [34][1270/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.0381 (2.0390)	Prec@1 48.000 (47.420)	Prec@5 78.500 (77.934)
Epoch: [34][1280/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.8835 (2.0388)	Prec@1 50.500 (47.427)	Prec@5 81.000 (77.933)
Epoch: [34][1290/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.0669 (2.0392)	Prec@1 44.500 (47.416)	Prec@5 77.500 (77.928)
Epoch: [34][1300/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.1067 (2.0393)	Prec@1 42.000 (47.408)	Prec@5 78.000 (77.931)
Epoch: [34][1310/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.0447 (2.0390)	Prec@1 50.000 (47.424)	Prec@5 74.500 (77.932)
Epoch: [34][1320/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0053 (2.0390)	Prec@1 49.500 (47.417)	Prec@5 76.500 (77.932)
Epoch: [34][1330/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.2288 (2.0387)	Prec@1 44.000 (47.424)	Prec@5 77.500 (77.944)
Epoch: [34][1340/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.9292 (2.0390)	Prec@1 49.500 (47.417)	Prec@5 76.500 (77.933)
Epoch: [34][1350/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.8761 (2.0393)	Prec@1 48.500 (47.407)	Prec@5 83.500 (77.929)
Epoch: [34][1360/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0518 (2.0397)	Prec@1 47.500 (47.400)	Prec@5 77.000 (77.921)
Epoch: [34][1370/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 1.9167 (2.0397)	Prec@1 48.500 (47.403)	Prec@5 80.000 (77.923)
Epoch: [34][1380/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.0821 (2.0396)	Prec@1 47.500 (47.402)	Prec@5 76.500 (77.921)
Epoch: [34][1390/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0476 (2.0395)	Prec@1 50.000 (47.410)	Prec@5 75.000 (77.912)
Epoch: [34][1400/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.1753 (2.0402)	Prec@1 39.500 (47.392)	Prec@5 77.000 (77.900)
Epoch: [34][1410/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.8297 (2.0401)	Prec@1 51.000 (47.401)	Prec@5 82.000 (77.897)
Epoch: [34][1420/9018]	Time 0.736 (0.615)	Data 0.001 (0.002)	Loss 1.9903 (2.0402)	Prec@1 48.500 (47.401)	Prec@5 80.000 (77.895)
Epoch: [34][1430/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9089 (2.0405)	Prec@1 51.500 (47.399)	Prec@5 81.500 (77.887)
Epoch: [34][1440/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.8408 (2.0406)	Prec@1 49.000 (47.392)	Prec@5 80.000 (77.881)
Epoch: [34][1450/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.2329 (2.0406)	Prec@1 43.000 (47.392)	Prec@5 77.500 (77.888)
Epoch: [34][1460/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.9885 (2.0407)	Prec@1 49.500 (47.392)	Prec@5 75.500 (77.885)
Epoch: [34][1470/9018]	Time 0.728 (0.615)	Data 0.001 (0.002)	Loss 1.7216 (2.0403)	Prec@1 55.000 (47.398)	Prec@5 83.500 (77.885)
Epoch: [34][1480/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.9670 (2.0399)	Prec@1 48.000 (47.404)	Prec@5 79.500 (77.892)
Epoch: [34][1490/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.0279 (2.0397)	Prec@1 52.000 (47.410)	Prec@5 75.500 (77.900)
Epoch: [34][1500/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.9668 (2.0400)	Prec@1 45.000 (47.405)	Prec@5 81.500 (77.894)
Epoch: [34][1510/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.1286 (2.0402)	Prec@1 49.000 (47.409)	Prec@5 74.500 (77.886)
Epoch: [34][1520/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0731 (2.0407)	Prec@1 49.000 (47.403)	Prec@5 77.500 (77.878)
Epoch: [34][1530/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.7990 (2.0407)	Prec@1 58.500 (47.406)	Prec@5 82.500 (77.871)
Epoch: [34][1540/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.9477 (2.0404)	Prec@1 48.500 (47.413)	Prec@5 78.500 (77.874)
Epoch: [34][1550/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 1.9596 (2.0400)	Prec@1 45.000 (47.419)	Prec@5 76.000 (77.882)
Epoch: [34][1560/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.0292 (2.0400)	Prec@1 51.000 (47.433)	Prec@5 76.500 (77.879)
Epoch: [34][1570/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.9245 (2.0398)	Prec@1 53.000 (47.436)	Prec@5 83.000 (77.885)
Epoch: [34][1580/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.2131 (2.0401)	Prec@1 43.000 (47.430)	Prec@5 71.000 (77.878)
Epoch: [34][1590/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.2979 (2.0399)	Prec@1 43.500 (47.438)	Prec@5 73.500 (77.879)
Epoch: [34][1600/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.0853 (2.0399)	Prec@1 48.500 (47.441)	Prec@5 75.000 (77.871)
Epoch: [34][1610/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9846 (2.0402)	Prec@1 53.500 (47.436)	Prec@5 78.000 (77.866)
Epoch: [34][1620/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.2109 (2.0405)	Prec@1 48.000 (47.434)	Prec@5 73.500 (77.857)
Epoch: [34][1630/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.9568 (2.0405)	Prec@1 45.000 (47.440)	Prec@5 81.500 (77.860)
Epoch: [34][1640/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.1611 (2.0403)	Prec@1 36.000 (47.442)	Prec@5 75.000 (77.867)
Epoch: [34][1650/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.2919 (2.0408)	Prec@1 41.000 (47.436)	Prec@5 77.000 (77.858)
Epoch: [34][1660/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0782 (2.0407)	Prec@1 46.500 (47.445)	Prec@5 76.500 (77.861)
Epoch: [34][1670/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.2166 (2.0410)	Prec@1 42.500 (47.438)	Prec@5 77.500 (77.856)
Epoch: [34][1680/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.2382 (2.0413)	Prec@1 43.000 (47.438)	Prec@5 75.000 (77.850)
Epoch: [34][1690/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.8457 (2.0413)	Prec@1 51.000 (47.438)	Prec@5 84.500 (77.854)
Epoch: [34][1700/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.5203 (2.0416)	Prec@1 42.500 (47.440)	Prec@5 72.000 (77.850)
Epoch: [34][1710/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 1.9287 (2.0417)	Prec@1 51.500 (47.441)	Prec@5 78.500 (77.851)
Epoch: [34][1720/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.8528 (2.0412)	Prec@1 54.500 (47.452)	Prec@5 83.000 (77.860)
Epoch: [34][1730/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.2681 (2.0415)	Prec@1 43.000 (47.444)	Prec@5 73.500 (77.855)
Epoch: [34][1740/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.2938 (2.0414)	Prec@1 44.000 (47.447)	Prec@5 73.000 (77.857)
Epoch: [34][1750/9018]	Time 0.724 (0.615)	Data 0.001 (0.002)	Loss 2.2343 (2.0416)	Prec@1 41.000 (47.438)	Prec@5 75.500 (77.852)
Epoch: [34][1760/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.0930 (2.0423)	Prec@1 47.000 (47.423)	Prec@5 77.000 (77.838)
Epoch: [34][1770/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0118 (2.0423)	Prec@1 49.000 (47.427)	Prec@5 77.500 (77.837)
Epoch: [34][1780/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.1515 (2.0423)	Prec@1 45.500 (47.427)	Prec@5 78.000 (77.835)
Epoch: [34][1790/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.8583 (2.0421)	Prec@1 54.000 (47.431)	Prec@5 79.500 (77.844)
Epoch: [34][1800/9018]	Time 0.719 (0.615)	Data 0.001 (0.002)	Loss 2.0334 (2.0424)	Prec@1 45.500 (47.429)	Prec@5 77.000 (77.838)
Epoch: [34][1810/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.9476 (2.0422)	Prec@1 44.000 (47.436)	Prec@5 81.500 (77.845)
Epoch: [34][1820/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.2367 (2.0422)	Prec@1 41.500 (47.435)	Prec@5 75.500 (77.850)
Epoch: [34][1830/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.8505 (2.0418)	Prec@1 54.000 (47.443)	Prec@5 79.500 (77.854)
Epoch: [34][1840/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.7579 (2.0417)	Prec@1 56.000 (47.437)	Prec@5 84.000 (77.859)
Epoch: [34][1850/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9537 (2.0419)	Prec@1 49.500 (47.436)	Prec@5 80.500 (77.854)
Epoch: [34][1860/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 1.9365 (2.0421)	Prec@1 45.500 (47.428)	Prec@5 82.000 (77.849)
Epoch: [34][1870/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.2216 (2.0421)	Prec@1 42.000 (47.422)	Prec@5 74.000 (77.847)
Epoch: [34][1880/9018]	Time 0.604 (0.615)	Data 0.003 (0.002)	Loss 2.3857 (2.0426)	Prec@1 42.500 (47.415)	Prec@5 73.500 (77.835)
Epoch: [34][1890/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4864 (2.0434)	Prec@1 38.500 (47.394)	Prec@5 72.500 (77.824)
Epoch: [34][1900/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.2768 (2.0436)	Prec@1 42.500 (47.387)	Prec@5 75.500 (77.819)
Epoch: [34][1910/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0790 (2.0436)	Prec@1 47.500 (47.385)	Prec@5 78.000 (77.821)
Epoch: [34][1920/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.1275 (2.0436)	Prec@1 46.000 (47.382)	Prec@5 77.000 (77.815)
Epoch: [34][1930/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.0482 (2.0439)	Prec@1 46.500 (47.376)	Prec@5 80.000 (77.812)
Epoch: [34][1940/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.0143 (2.0438)	Prec@1 49.000 (47.378)	Prec@5 79.000 (77.813)
Epoch: [34][1950/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.3401 (2.0440)	Prec@1 43.500 (47.378)	Prec@5 72.500 (77.806)
Epoch: [34][1960/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.1772 (2.0439)	Prec@1 47.000 (47.373)	Prec@5 79.000 (77.807)
Epoch: [34][1970/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 1.9486 (2.0439)	Prec@1 49.500 (47.376)	Prec@5 75.000 (77.802)
Epoch: [34][1980/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0260 (2.0441)	Prec@1 48.500 (47.367)	Prec@5 74.000 (77.800)
Epoch: [34][1990/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.9069 (2.0440)	Prec@1 56.500 (47.375)	Prec@5 78.500 (77.800)
Epoch: [34][2000/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.1037 (2.0439)	Prec@1 47.000 (47.374)	Prec@5 74.000 (77.805)
Epoch: [34][2010/9018]	Time 0.610 (0.614)	Data 0.001 (0.002)	Loss 1.9807 (2.0437)	Prec@1 48.000 (47.376)	Prec@5 77.000 (77.807)
Epoch: [34][2020/9018]	Time 0.598 (0.614)	Data 0.001 (0.002)	Loss 2.1247 (2.0438)	Prec@1 50.000 (47.378)	Prec@5 78.000 (77.807)
Epoch: [34][2030/9018]	Time 0.602 (0.614)	Data 0.001 (0.002)	Loss 2.1615 (2.0438)	Prec@1 47.000 (47.377)	Prec@5 74.500 (77.809)
Epoch: [34][2040/9018]	Time 0.601 (0.614)	Data 0.001 (0.002)	Loss 2.2363 (2.0441)	Prec@1 44.500 (47.373)	Prec@5 73.500 (77.806)
Epoch: [34][2050/9018]	Time 0.603 (0.614)	Data 0.001 (0.002)	Loss 1.8886 (2.0440)	Prec@1 48.500 (47.373)	Prec@5 83.500 (77.810)
Epoch: [34][2060/9018]	Time 0.629 (0.614)	Data 0.001 (0.002)	Loss 2.2181 (2.0438)	Prec@1 44.000 (47.373)	Prec@5 77.500 (77.816)
Epoch: [34][2070/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.8149 (2.0439)	Prec@1 49.000 (47.364)	Prec@5 83.500 (77.819)
Epoch: [34][2080/9018]	Time 0.740 (0.615)	Data 0.001 (0.002)	Loss 2.0141 (2.0439)	Prec@1 49.000 (47.363)	Prec@5 78.000 (77.819)
Epoch: [34][2090/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.0579 (2.0442)	Prec@1 42.500 (47.359)	Prec@5 79.500 (77.815)
Epoch: [34][2100/9018]	Time 0.640 (0.615)	Data 0.001 (0.002)	Loss 1.9482 (2.0441)	Prec@1 48.500 (47.362)	Prec@5 79.500 (77.814)
Epoch: [34][2110/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 1.9518 (2.0440)	Prec@1 43.000 (47.363)	Prec@5 81.000 (77.814)
Epoch: [34][2120/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.1309 (2.0444)	Prec@1 41.000 (47.355)	Prec@5 79.500 (77.809)
Epoch: [34][2130/9018]	Time 0.731 (0.615)	Data 0.001 (0.002)	Loss 1.9561 (2.0443)	Prec@1 52.500 (47.359)	Prec@5 76.500 (77.808)
Epoch: [34][2140/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 1.8963 (2.0444)	Prec@1 51.000 (47.358)	Prec@5 78.500 (77.808)
Epoch: [34][2150/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.1416 (2.0442)	Prec@1 44.000 (47.361)	Prec@5 78.000 (77.812)
Epoch: [34][2160/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 1.9704 (2.0443)	Prec@1 51.500 (47.360)	Prec@5 74.500 (77.812)
Epoch: [34][2170/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 1.9451 (2.0442)	Prec@1 48.500 (47.354)	Prec@5 78.500 (77.816)
Epoch: [34][2180/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 1.8342 (2.0441)	Prec@1 52.000 (47.359)	Prec@5 81.000 (77.817)
Epoch: [34][2190/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.2377 (2.0443)	Prec@1 41.500 (47.355)	Prec@5 78.500 (77.814)
Epoch: [34][2200/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 1.9646 (2.0438)	Prec@1 52.500 (47.366)	Prec@5 79.000 (77.818)
Epoch: [34][2210/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.0062 (2.0437)	Prec@1 49.500 (47.364)	Prec@5 76.000 (77.818)
Epoch: [34][2220/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 1.8702 (2.0436)	Prec@1 50.000 (47.368)	Prec@5 78.500 (77.822)
Epoch: [34][2230/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 1.9924 (2.0438)	Prec@1 47.000 (47.367)	Prec@5 81.000 (77.815)
Epoch: [34][2240/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.2851 (2.0438)	Prec@1 41.000 (47.366)	Prec@5 74.000 (77.810)
Epoch: [34][2250/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 1.8784 (2.0442)	Prec@1 50.000 (47.365)	Prec@5 80.500 (77.804)
Epoch: [34][2260/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 1.9921 (2.0442)	Prec@1 48.500 (47.368)	Prec@5 79.500 (77.809)
Epoch: [34][2270/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.0609 (2.0440)	Prec@1 44.000 (47.371)	Prec@5 76.000 (77.810)
Epoch: [34][2280/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 1.9825 (2.0439)	Prec@1 46.500 (47.367)	Prec@5 74.500 (77.811)
Epoch: [34][2290/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.1006 (2.0439)	Prec@1 48.000 (47.364)	Prec@5 77.500 (77.810)
Epoch: [34][2300/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.0932 (2.0439)	Prec@1 46.500 (47.363)	Prec@5 77.500 (77.809)
Epoch: [34][2310/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.1042 (2.0438)	Prec@1 48.500 (47.363)	Prec@5 77.000 (77.814)
Epoch: [34][2320/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.0519 (2.0439)	Prec@1 47.500 (47.365)	Prec@5 78.000 (77.813)
Epoch: [34][2330/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.1909 (2.0440)	Prec@1 44.000 (47.367)	Prec@5 73.000 (77.814)
Epoch: [34][2340/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.1582 (2.0440)	Prec@1 46.000 (47.371)	Prec@5 74.000 (77.812)
Epoch: [34][2350/9018]	Time 0.617 (0.617)	Data 0.001 (0.002)	Loss 2.1188 (2.0444)	Prec@1 47.500 (47.367)	Prec@5 77.000 (77.804)
Epoch: [34][2360/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 1.9767 (2.0444)	Prec@1 49.500 (47.370)	Prec@5 77.500 (77.804)
Epoch: [34][2370/9018]	Time 0.619 (0.617)	Data 0.001 (0.002)	Loss 1.9689 (2.0444)	Prec@1 44.500 (47.365)	Prec@5 82.000 (77.805)
Epoch: [34][2380/9018]	Time 0.617 (0.617)	Data 0.001 (0.002)	Loss 2.0087 (2.0446)	Prec@1 45.000 (47.360)	Prec@5 79.000 (77.806)
Epoch: [34][2390/9018]	Time 0.622 (0.617)	Data 0.001 (0.002)	Loss 2.0458 (2.0449)	Prec@1 46.000 (47.357)	Prec@5 79.500 (77.796)
Epoch: [34][2400/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 1.9537 (2.0448)	Prec@1 49.000 (47.360)	Prec@5 77.500 (77.799)
Epoch: [34][2410/9018]	Time 0.745 (0.617)	Data 0.001 (0.002)	Loss 1.9574 (2.0449)	Prec@1 47.500 (47.354)	Prec@5 79.500 (77.795)
Epoch: [34][2420/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.0097 (2.0449)	Prec@1 50.000 (47.355)	Prec@5 80.000 (77.796)
Epoch: [34][2430/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 2.1582 (2.0453)	Prec@1 46.500 (47.352)	Prec@5 75.000 (77.789)
Epoch: [34][2440/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 2.2057 (2.0453)	Prec@1 44.000 (47.351)	Prec@5 75.000 (77.790)
Epoch: [34][2450/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 1.9173 (2.0451)	Prec@1 47.000 (47.351)	Prec@5 83.000 (77.794)
Epoch: [34][2460/9018]	Time 0.734 (0.617)	Data 0.001 (0.002)	Loss 1.8712 (2.0454)	Prec@1 53.000 (47.346)	Prec@5 82.000 (77.788)
Epoch: [34][2470/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 2.1632 (2.0456)	Prec@1 45.500 (47.343)	Prec@5 73.500 (77.789)
Epoch: [34][2480/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 1.8991 (2.0457)	Prec@1 52.000 (47.340)	Prec@5 79.000 (77.792)
Epoch: [34][2490/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 2.1479 (2.0460)	Prec@1 45.000 (47.338)	Prec@5 77.500 (77.784)
Epoch: [34][2500/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.0674 (2.0461)	Prec@1 45.500 (47.335)	Prec@5 76.000 (77.778)
Epoch: [34][2510/9018]	Time 0.617 (0.617)	Data 0.001 (0.002)	Loss 2.1852 (2.0464)	Prec@1 41.500 (47.329)	Prec@5 77.500 (77.773)
Epoch: [34][2520/9018]	Time 0.622 (0.617)	Data 0.001 (0.002)	Loss 2.1979 (2.0463)	Prec@1 49.500 (47.330)	Prec@5 74.000 (77.778)
Epoch: [34][2530/9018]	Time 0.624 (0.618)	Data 0.001 (0.002)	Loss 1.9346 (2.0464)	Prec@1 47.000 (47.322)	Prec@5 82.500 (77.776)
Epoch: [34][2540/9018]	Time 0.626 (0.618)	Data 0.001 (0.002)	Loss 1.8279 (2.0461)	Prec@1 47.000 (47.327)	Prec@5 84.000 (77.785)
Epoch: [34][2550/9018]	Time 0.623 (0.618)	Data 0.001 (0.002)	Loss 2.1350 (2.0460)	Prec@1 44.500 (47.328)	Prec@5 77.000 (77.784)
Epoch: [34][2560/9018]	Time 0.617 (0.618)	Data 0.001 (0.002)	Loss 1.9604 (2.0458)	Prec@1 45.500 (47.333)	Prec@5 81.000 (77.791)
Epoch: [34][2570/9018]	Time 0.624 (0.618)	Data 0.001 (0.002)	Loss 2.2605 (2.0461)	Prec@1 40.500 (47.324)	Prec@5 73.000 (77.787)
Epoch: [34][2580/9018]	Time 0.626 (0.618)	Data 0.001 (0.002)	Loss 2.0966 (2.0459)	Prec@1 48.500 (47.334)	Prec@5 78.000 (77.789)
Epoch: [34][2590/9018]	Time 0.625 (0.618)	Data 0.001 (0.002)	Loss 2.1133 (2.0461)	Prec@1 44.500 (47.327)	Prec@5 77.000 (77.787)
Epoch: [34][2600/9018]	Time 0.621 (0.618)	Data 0.001 (0.002)	Loss 2.1672 (2.0460)	Prec@1 44.500 (47.330)	Prec@5 73.000 (77.787)
Epoch: [34][2610/9018]	Time 0.624 (0.618)	Data 0.001 (0.002)	Loss 2.0148 (2.0461)	Prec@1 46.500 (47.322)	Prec@5 76.000 (77.788)
Epoch: [34][2620/9018]	Time 0.628 (0.618)	Data 0.001 (0.002)	Loss 2.0922 (2.0459)	Prec@1 48.500 (47.325)	Prec@5 80.000 (77.795)
Epoch: [34][2630/9018]	Time 0.631 (0.618)	Data 0.001 (0.002)	Loss 2.1307 (2.0458)	Prec@1 44.500 (47.319)	Prec@5 72.500 (77.798)
Epoch: [34][2640/9018]	Time 0.628 (0.618)	Data 0.001 (0.002)	Loss 2.0466 (2.0460)	Prec@1 47.500 (47.310)	Prec@5 77.500 (77.799)
Epoch: [34][2650/9018]	Time 0.620 (0.618)	Data 0.001 (0.002)	Loss 2.1415 (2.0461)	Prec@1 43.000 (47.308)	Prec@5 77.500 (77.793)
Epoch: [34][2660/9018]	Time 0.628 (0.618)	Data 0.001 (0.002)	Loss 2.1329 (2.0461)	Prec@1 40.500 (47.308)	Prec@5 81.000 (77.795)
Epoch: [34][2670/9018]	Time 0.628 (0.618)	Data 0.001 (0.002)	Loss 2.0353 (2.0461)	Prec@1 45.500 (47.301)	Prec@5 77.500 (77.796)
Epoch: [34][2680/9018]	Time 0.627 (0.618)	Data 0.001 (0.002)	Loss 1.9747 (2.0461)	Prec@1 50.500 (47.302)	Prec@5 75.500 (77.796)
Epoch: [34][2690/9018]	Time 0.633 (0.618)	Data 0.001 (0.002)	Loss 2.0425 (2.0461)	Prec@1 41.500 (47.301)	Prec@5 80.000 (77.793)
Epoch: [34][2700/9018]	Time 0.624 (0.618)	Data 0.001 (0.002)	Loss 2.0915 (2.0460)	Prec@1 47.500 (47.306)	Prec@5 74.000 (77.796)
Epoch: [34][2710/9018]	Time 0.620 (0.618)	Data 0.001 (0.002)	Loss 2.0512 (2.0461)	Prec@1 48.000 (47.301)	Prec@5 78.500 (77.794)
Epoch: [34][2720/9018]	Time 0.627 (0.619)	Data 0.001 (0.002)	Loss 1.8668 (2.0460)	Prec@1 56.000 (47.306)	Prec@5 81.000 (77.793)
Epoch: [34][2730/9018]	Time 0.624 (0.619)	Data 0.001 (0.002)	Loss 1.9817 (2.0464)	Prec@1 44.000 (47.302)	Prec@5 83.500 (77.788)
Epoch: [34][2740/9018]	Time 0.747 (0.619)	Data 0.001 (0.002)	Loss 1.9400 (2.0464)	Prec@1 48.500 (47.302)	Prec@5 83.500 (77.789)
Epoch: [34][2750/9018]	Time 0.622 (0.619)	Data 0.001 (0.002)	Loss 2.1015 (2.0467)	Prec@1 44.000 (47.294)	Prec@5 78.500 (77.786)
Epoch: [34][2760/9018]	Time 0.624 (0.619)	Data 0.001 (0.002)	Loss 2.1111 (2.0468)	Prec@1 46.500 (47.289)	Prec@5 77.500 (77.784)
Epoch: [34][2770/9018]	Time 0.626 (0.619)	Data 0.001 (0.002)	Loss 1.9108 (2.0465)	Prec@1 53.000 (47.300)	Prec@5 81.000 (77.791)
Epoch: [34][2780/9018]	Time 0.627 (0.619)	Data 0.001 (0.002)	Loss 2.0277 (2.0465)	Prec@1 48.000 (47.302)	Prec@5 78.500 (77.793)
Epoch: [34][2790/9018]	Time 0.744 (0.619)	Data 0.001 (0.002)	Loss 1.8551 (2.0464)	Prec@1 52.000 (47.306)	Prec@5 82.000 (77.792)
Epoch: [34][2800/9018]	Time 0.617 (0.619)	Data 0.001 (0.002)	Loss 2.0971 (2.0463)	Prec@1 48.000 (47.309)	Prec@5 76.000 (77.796)
Epoch: [34][2810/9018]	Time 0.622 (0.619)	Data 0.001 (0.002)	Loss 1.9156 (2.0465)	Prec@1 47.000 (47.307)	Prec@5 81.000 (77.789)
Epoch: [34][2820/9018]	Time 0.626 (0.619)	Data 0.001 (0.002)	Loss 2.1317 (2.0465)	Prec@1 47.000 (47.305)	Prec@5 73.500 (77.790)
Epoch: [34][2830/9018]	Time 0.625 (0.619)	Data 0.001 (0.002)	Loss 1.8954 (2.0464)	Prec@1 48.000 (47.310)	Prec@5 82.000 (77.793)
Epoch: [34][2840/9018]	Time 0.618 (0.619)	Data 0.001 (0.002)	Loss 2.2433 (2.0464)	Prec@1 42.000 (47.308)	Prec@5 75.500 (77.793)
Epoch: [34][2850/9018]	Time 0.627 (0.619)	Data 0.001 (0.002)	Loss 1.8612 (2.0464)	Prec@1 51.000 (47.311)	Prec@5 82.500 (77.794)
Epoch: [34][2860/9018]	Time 0.617 (0.619)	Data 0.001 (0.001)	Loss 2.0232 (2.0465)	Prec@1 46.000 (47.310)	Prec@5 78.000 (77.791)
Epoch: [34][2870/9018]	Time 0.621 (0.619)	Data 0.001 (0.001)	Loss 2.1221 (2.0466)	Prec@1 43.500 (47.310)	Prec@5 79.500 (77.786)
Epoch: [34][2880/9018]	Time 0.623 (0.619)	Data 0.001 (0.001)	Loss 1.9793 (2.0464)	Prec@1 51.000 (47.314)	Prec@5 77.500 (77.788)
Epoch: [34][2890/9018]	Time 0.626 (0.619)	Data 0.001 (0.001)	Loss 1.9838 (2.0466)	Prec@1 47.000 (47.309)	Prec@5 81.500 (77.785)
Epoch: [34][2900/9018]	Time 0.631 (0.619)	Data 0.001 (0.001)	Loss 2.0983 (2.0467)	Prec@1 43.000 (47.307)	Prec@5 77.500 (77.787)
Epoch: [34][2910/9018]	Time 0.626 (0.619)	Data 0.001 (0.001)	Loss 1.7935 (2.0465)	Prec@1 50.000 (47.311)	Prec@5 82.500 (77.790)
Epoch: [34][2920/9018]	Time 0.625 (0.619)	Data 0.001 (0.001)	Loss 2.0627 (2.0464)	Prec@1 51.000 (47.309)	Prec@5 76.000 (77.794)
Epoch: [34][2930/9018]	Time 0.626 (0.619)	Data 0.001 (0.001)	Loss 1.9555 (2.0463)	Prec@1 51.000 (47.313)	Prec@5 78.500 (77.797)
Epoch: [34][2940/9018]	Time 0.627 (0.620)	Data 0.001 (0.001)	Loss 2.0385 (2.0463)	Prec@1 43.000 (47.308)	Prec@5 78.000 (77.793)
Epoch: [34][2950/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.9887 (2.0464)	Prec@1 51.500 (47.308)	Prec@5 80.000 (77.791)
Epoch: [34][2960/9018]	Time 0.628 (0.620)	Data 0.001 (0.001)	Loss 1.7660 (2.0463)	Prec@1 52.500 (47.308)	Prec@5 81.500 (77.794)
Epoch: [34][2970/9018]	Time 0.619 (0.620)	Data 0.001 (0.001)	Loss 2.1434 (2.0464)	Prec@1 47.000 (47.312)	Prec@5 75.500 (77.793)
Epoch: [34][2980/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 2.0643 (2.0464)	Prec@1 46.500 (47.315)	Prec@5 75.500 (77.792)
Epoch: [34][2990/9018]	Time 0.624 (0.620)	Data 0.001 (0.001)	Loss 2.0647 (2.0463)	Prec@1 41.000 (47.309)	Prec@5 76.500 (77.792)
Epoch: [34][3000/9018]	Time 0.629 (0.620)	Data 0.001 (0.001)	Loss 2.1842 (2.0466)	Prec@1 44.500 (47.307)	Prec@5 77.000 (77.788)
Epoch: [34][3010/9018]	Time 0.629 (0.620)	Data 0.001 (0.001)	Loss 2.0043 (2.0465)	Prec@1 49.000 (47.310)	Prec@5 79.000 (77.789)
Epoch: [34][3020/9018]	Time 0.623 (0.620)	Data 0.001 (0.001)	Loss 2.2274 (2.0466)	Prec@1 46.500 (47.309)	Prec@5 73.500 (77.785)
Epoch: [34][3030/9018]	Time 0.623 (0.620)	Data 0.001 (0.001)	Loss 2.0078 (2.0467)	Prec@1 49.000 (47.299)	Prec@5 76.000 (77.785)
Epoch: [34][3040/9018]	Time 0.627 (0.620)	Data 0.001 (0.001)	Loss 2.1078 (2.0468)	Prec@1 46.500 (47.298)	Prec@5 75.500 (77.780)
Epoch: [34][3050/9018]	Time 0.624 (0.620)	Data 0.001 (0.001)	Loss 1.9555 (2.0469)	Prec@1 49.500 (47.297)	Prec@5 78.000 (77.780)
Epoch: [34][3060/9018]	Time 0.629 (0.620)	Data 0.001 (0.001)	Loss 1.9891 (2.0470)	Prec@1 45.500 (47.295)	Prec@5 81.500 (77.777)
Epoch: [34][3070/9018]	Time 0.739 (0.620)	Data 0.001 (0.001)	Loss 2.5021 (2.0473)	Prec@1 37.500 (47.289)	Prec@5 68.000 (77.770)
Epoch: [34][3080/9018]	Time 0.625 (0.620)	Data 0.001 (0.001)	Loss 2.1409 (2.0473)	Prec@1 49.000 (47.287)	Prec@5 74.000 (77.771)
Epoch: [34][3090/9018]	Time 0.627 (0.620)	Data 0.001 (0.001)	Loss 1.9414 (2.0475)	Prec@1 49.500 (47.289)	Prec@5 81.000 (77.766)
Epoch: [34][3100/9018]	Time 0.626 (0.620)	Data 0.001 (0.001)	Loss 2.1357 (2.0475)	Prec@1 46.000 (47.288)	Prec@5 75.000 (77.763)
Epoch: [34][3110/9018]	Time 0.624 (0.620)	Data 0.001 (0.001)	Loss 2.2023 (2.0474)	Prec@1 48.000 (47.293)	Prec@5 79.000 (77.765)
Epoch: [34][3120/9018]	Time 0.726 (0.620)	Data 0.001 (0.001)	Loss 1.9153 (2.0477)	Prec@1 54.500 (47.289)	Prec@5 80.500 (77.760)
Epoch: [34][3130/9018]	Time 0.624 (0.620)	Data 0.001 (0.001)	Loss 1.8448 (2.0475)	Prec@1 53.500 (47.291)	Prec@5 80.000 (77.764)
Epoch: [34][3140/9018]	Time 0.629 (0.620)	Data 0.001 (0.001)	Loss 2.0552 (2.0474)	Prec@1 45.000 (47.294)	Prec@5 75.500 (77.761)
Epoch: [34][3150/9018]	Time 0.628 (0.620)	Data 0.001 (0.001)	Loss 1.9599 (2.0473)	Prec@1 50.000 (47.298)	Prec@5 80.500 (77.762)
Epoch: [34][3160/9018]	Time 0.624 (0.620)	Data 0.001 (0.001)	Loss 2.1906 (2.0473)	Prec@1 45.500 (47.302)	Prec@5 74.500 (77.761)
Epoch: [34][3170/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.9751 (2.0474)	Prec@1 50.000 (47.299)	Prec@5 80.000 (77.761)
Epoch: [34][3180/9018]	Time 0.623 (0.620)	Data 0.001 (0.001)	Loss 2.0916 (2.0474)	Prec@1 44.000 (47.297)	Prec@5 76.500 (77.760)
Epoch: [34][3190/9018]	Time 0.623 (0.620)	Data 0.001 (0.001)	Loss 2.2414 (2.0475)	Prec@1 45.000 (47.297)	Prec@5 72.500 (77.759)
Epoch: [34][3200/9018]	Time 0.635 (0.620)	Data 0.001 (0.001)	Loss 2.1528 (2.0472)	Prec@1 45.000 (47.298)	Prec@5 78.500 (77.764)
Epoch: [34][3210/9018]	Time 0.624 (0.620)	Data 0.001 (0.001)	Loss 1.8441 (2.0472)	Prec@1 48.000 (47.296)	Prec@5 81.500 (77.761)
Epoch: [34][3220/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 2.1114 (2.0473)	Prec@1 47.000 (47.294)	Prec@5 76.500 (77.756)
Epoch: [34][3230/9018]	Time 0.627 (0.620)	Data 0.001 (0.001)	Loss 1.9149 (2.0472)	Prec@1 52.000 (47.299)	Prec@5 76.000 (77.758)
Epoch: [34][3240/9018]	Time 0.630 (0.621)	Data 0.001 (0.001)	Loss 2.0717 (2.0471)	Prec@1 44.500 (47.299)	Prec@5 77.500 (77.763)
Epoch: [34][3250/9018]	Time 0.621 (0.621)	Data 0.001 (0.001)	Loss 2.0041 (2.0471)	Prec@1 49.500 (47.301)	Prec@5 78.500 (77.764)
Epoch: [34][3260/9018]	Time 0.627 (0.621)	Data 0.001 (0.001)	Loss 1.8690 (2.0469)	Prec@1 51.500 (47.305)	Prec@5 80.000 (77.766)
Epoch: [34][3270/9018]	Time 0.621 (0.621)	Data 0.001 (0.001)	Loss 2.1760 (2.0471)	Prec@1 43.000 (47.303)	Prec@5 74.000 (77.762)
Epoch: [34][3280/9018]	Time 0.625 (0.621)	Data 0.001 (0.001)	Loss 1.7976 (2.0472)	Prec@1 55.500 (47.300)	Prec@5 84.000 (77.762)
Epoch: [34][3290/9018]	Time 0.627 (0.621)	Data 0.001 (0.001)	Loss 2.1782 (2.0474)	Prec@1 42.500 (47.293)	Prec@5 78.000 (77.756)
Epoch: [34][3300/9018]	Time 0.629 (0.621)	Data 0.001 (0.001)	Loss 1.9654 (2.0474)	Prec@1 50.000 (47.297)	Prec@5 79.000 (77.756)
Epoch: [34][3310/9018]	Time 0.637 (0.621)	Data 0.001 (0.001)	Loss 2.1146 (2.0472)	Prec@1 43.500 (47.302)	Prec@5 77.000 (77.759)
Epoch: [34][3320/9018]	Time 0.627 (0.621)	Data 0.001 (0.001)	Loss 2.0427 (2.0471)	Prec@1 47.000 (47.305)	Prec@5 83.000 (77.762)
Epoch: [34][3330/9018]	Time 0.620 (0.621)	Data 0.001 (0.001)	Loss 1.9857 (2.0470)	Prec@1 45.000 (47.308)	Prec@5 75.500 (77.762)
Epoch: [34][3340/9018]	Time 0.627 (0.621)	Data 0.001 (0.001)	Loss 1.9395 (2.0468)	Prec@1 49.000 (47.314)	Prec@5 79.500 (77.765)
Epoch: [34][3350/9018]	Time 0.624 (0.621)	Data 0.001 (0.001)	Loss 2.3850 (2.0469)	Prec@1 46.000 (47.309)	Prec@5 74.500 (77.763)
Epoch: [34][3360/9018]	Time 0.623 (0.621)	Data 0.001 (0.001)	Loss 2.1417 (2.0470)	Prec@1 44.000 (47.308)	Prec@5 77.000 (77.761)
Epoch: [34][3370/9018]	Time 0.628 (0.621)	Data 0.001 (0.001)	Loss 2.2664 (2.0471)	Prec@1 47.000 (47.305)	Prec@5 78.000 (77.762)
Epoch: [34][3380/9018]	Time 0.623 (0.621)	Data 0.001 (0.001)	Loss 2.2608 (2.0470)	Prec@1 40.000 (47.306)	Prec@5 74.000 (77.765)
Epoch: [34][3390/9018]	Time 0.621 (0.621)	Data 0.001 (0.001)	Loss 2.0672 (2.0470)	Prec@1 49.000 (47.306)	Prec@5 75.000 (77.765)
Epoch: [34][3400/9018]	Time 0.732 (0.621)	Data 0.001 (0.001)	Loss 2.0832 (2.0471)	Prec@1 44.000 (47.305)	Prec@5 79.500 (77.762)
Epoch: [34][3410/9018]	Time 0.625 (0.621)	Data 0.001 (0.001)	Loss 2.1839 (2.0471)	Prec@1 43.000 (47.303)	Prec@5 78.500 (77.760)
Epoch: [34][3420/9018]	Time 0.623 (0.621)	Data 0.001 (0.001)	Loss 2.0843 (2.0469)	Prec@1 42.000 (47.308)	Prec@5 76.000 (77.764)
Epoch: [34][3430/9018]	Time 0.621 (0.621)	Data 0.001 (0.001)	Loss 1.8866 (2.0468)	Prec@1 52.000 (47.310)	Prec@5 80.500 (77.762)
Epoch: [34][3440/9018]	Time 0.627 (0.621)	Data 0.001 (0.001)	Loss 2.0529 (2.0470)	Prec@1 45.000 (47.308)	Prec@5 79.000 (77.759)
Epoch: [34][3450/9018]	Time 0.755 (0.621)	Data 0.001 (0.001)	Loss 2.0256 (2.0471)	Prec@1 48.500 (47.306)	Prec@5 77.000 (77.757)
Epoch: [34][3460/9018]	Time 0.625 (0.621)	Data 0.001 (0.001)	Loss 2.0857 (2.0471)	Prec@1 45.500 (47.303)	Prec@5 77.500 (77.757)
Epoch: [34][3470/9018]	Time 0.631 (0.621)	Data 0.001 (0.001)	Loss 1.8681 (2.0470)	Prec@1 51.500 (47.303)	Prec@5 82.000 (77.761)
Epoch: [34][3480/9018]	Time 0.625 (0.621)	Data 0.001 (0.001)	Loss 2.0863 (2.0469)	Prec@1 44.500 (47.308)	Prec@5 74.500 (77.763)
Epoch: [34][3490/9018]	Time 0.630 (0.621)	Data 0.001 (0.001)	Loss 2.0973 (2.0469)	Prec@1 42.500 (47.307)	Prec@5 78.500 (77.764)
Epoch: [34][3500/9018]	Time 0.617 (0.621)	Data 0.001 (0.001)	Loss 2.2263 (2.0467)	Prec@1 47.000 (47.313)	Prec@5 74.000 (77.765)
Epoch: [34][3510/9018]	Time 0.623 (0.621)	Data 0.001 (0.001)	Loss 1.9088 (2.0467)	Prec@1 56.500 (47.314)	Prec@5 80.000 (77.766)
Epoch: [34][3520/9018]	Time 0.630 (0.621)	Data 0.001 (0.001)	Loss 1.9502 (2.0466)	Prec@1 48.500 (47.314)	Prec@5 76.500 (77.768)
Epoch: [34][3530/9018]	Time 0.620 (0.621)	Data 0.001 (0.001)	Loss 1.9448 (2.0467)	Prec@1 53.000 (47.314)	Prec@5 77.000 (77.766)
Epoch: [34][3540/9018]	Time 0.623 (0.621)	Data 0.001 (0.001)	Loss 1.8241 (2.0464)	Prec@1 48.500 (47.319)	Prec@5 81.000 (77.770)
Epoch: [34][3550/9018]	Time 0.617 (0.622)	Data 0.001 (0.001)	Loss 1.9936 (2.0464)	Prec@1 51.500 (47.321)	Prec@5 81.000 (77.775)
Epoch: [34][3560/9018]	Time 0.622 (0.622)	Data 0.001 (0.001)	Loss 2.0644 (2.0466)	Prec@1 44.500 (47.313)	Prec@5 75.500 (77.771)
Epoch: [34][3570/9018]	Time 0.625 (0.622)	Data 0.001 (0.001)	Loss 2.0330 (2.0466)	Prec@1 46.500 (47.318)	Prec@5 78.000 (77.771)
Epoch: [34][3580/9018]	Time 0.629 (0.622)	Data 0.001 (0.001)	Loss 1.8353 (2.0467)	Prec@1 54.000 (47.313)	Prec@5 82.500 (77.770)
Epoch: [34][3590/9018]	Time 0.622 (0.622)	Data 0.001 (0.001)	Loss 2.1121 (2.0468)	Prec@1 47.000 (47.310)	Prec@5 74.000 (77.769)
Epoch: [34][3600/9018]	Time 0.623 (0.622)	Data 0.001 (0.001)	Loss 2.1396 (2.0471)	Prec@1 46.000 (47.308)	Prec@5 76.000 (77.764)
Epoch: [34][3610/9018]	Time 0.627 (0.622)	Data 0.001 (0.001)	Loss 2.1823 (2.0469)	Prec@1 45.000 (47.309)	Prec@5 71.500 (77.764)
Epoch: [34][3620/9018]	Time 0.628 (0.622)	Data 0.001 (0.001)	Loss 2.0722 (2.0470)	Prec@1 47.000 (47.308)	Prec@5 77.000 (77.765)
Epoch: [34][3630/9018]	Time 0.629 (0.622)	Data 0.001 (0.001)	Loss 2.3255 (2.0472)	Prec@1 39.500 (47.300)	Prec@5 75.000 (77.764)
Epoch: [34][3640/9018]	Time 0.631 (0.622)	Data 0.001 (0.001)	Loss 2.0441 (2.0472)	Prec@1 50.500 (47.301)	Prec@5 80.000 (77.763)
Epoch: [34][3650/9018]	Time 0.631 (0.622)	Data 0.001 (0.001)	Loss 1.9320 (2.0470)	Prec@1 47.500 (47.304)	Prec@5 79.500 (77.767)
Epoch: [34][3660/9018]	Time 0.623 (0.622)	Data 0.001 (0.001)	Loss 2.1674 (2.0472)	Prec@1 43.000 (47.299)	Prec@5 76.000 (77.764)
Epoch: [34][3670/9018]	Time 0.621 (0.622)	Data 0.001 (0.001)	Loss 2.1110 (2.0472)	Prec@1 45.000 (47.297)	Prec@5 79.000 (77.765)
Epoch: [34][3680/9018]	Time 0.627 (0.622)	Data 0.001 (0.001)	Loss 2.2381 (2.0474)	Prec@1 43.000 (47.295)	Prec@5 74.500 (77.763)
Epoch: [34][3690/9018]	Time 0.624 (0.622)	Data 0.001 (0.001)	Loss 1.9643 (2.0472)	Prec@1 47.500 (47.298)	Prec@5 81.500 (77.766)
Epoch: [34][3700/9018]	Time 0.628 (0.622)	Data 0.001 (0.001)	Loss 2.1002 (2.0476)	Prec@1 47.000 (47.290)	Prec@5 79.000 (77.762)
Epoch: [34][3710/9018]	Time 0.622 (0.622)	Data 0.001 (0.001)	Loss 2.1879 (2.0477)	Prec@1 47.500 (47.290)	Prec@5 74.500 (77.761)
Epoch: [34][3720/9018]	Time 0.633 (0.622)	Data 0.001 (0.001)	Loss 1.8329 (2.0478)	Prec@1 57.500 (47.293)	Prec@5 81.500 (77.758)
Epoch: [34][3730/9018]	Time 0.746 (0.622)	Data 0.001 (0.001)	Loss 1.8013 (2.0478)	Prec@1 55.500 (47.292)	Prec@5 81.500 (77.759)
Epoch: [34][3740/9018]	Time 0.628 (0.622)	Data 0.001 (0.001)	Loss 1.9778 (2.0479)	Prec@1 50.000 (47.289)	Prec@5 79.000 (77.757)
Epoch: [34][3750/9018]	Time 0.624 (0.622)	Data 0.001 (0.001)	Loss 1.9860 (2.0479)	Prec@1 47.000 (47.289)	Prec@5 79.000 (77.757)
Epoch: [34][3760/9018]	Time 0.622 (0.622)	Data 0.001 (0.001)	Loss 2.1026 (2.0478)	Prec@1 45.000 (47.287)	Prec@5 76.500 (77.758)
Epoch: [34][3770/9018]	Time 0.628 (0.622)	Data 0.001 (0.001)	Loss 2.2208 (2.0479)	Prec@1 40.500 (47.285)	Prec@5 74.500 (77.757)
Epoch: [34][3780/9018]	Time 0.735 (0.622)	Data 0.001 (0.001)	Loss 1.9782 (2.0479)	Prec@1 46.500 (47.284)	Prec@5 78.500 (77.759)
Epoch: [34][3790/9018]	Time 0.622 (0.622)	Data 0.001 (0.001)	Loss 2.1471 (2.0479)	Prec@1 43.000 (47.283)	Prec@5 73.500 (77.757)
Epoch: [34][3800/9018]	Time 0.622 (0.622)	Data 0.001 (0.001)	Loss 2.0524 (2.0479)	Prec@1 49.500 (47.286)	Prec@5 78.000 (77.757)
Epoch: [34][3810/9018]	Time 0.626 (0.622)	Data 0.001 (0.001)	Loss 2.2496 (2.0479)	Prec@1 42.000 (47.285)	Prec@5 75.500 (77.759)
Epoch: [34][3820/9018]	Time 0.621 (0.622)	Data 0.001 (0.001)	Loss 2.3967 (2.0481)	Prec@1 43.000 (47.277)	Prec@5 74.000 (77.757)
Epoch: [34][3830/9018]	Time 0.617 (0.622)	Data 0.001 (0.001)	Loss 2.1820 (2.0479)	Prec@1 43.500 (47.280)	Prec@5 76.500 (77.763)
Epoch: [34][3840/9018]	Time 0.626 (0.622)	Data 0.001 (0.001)	Loss 1.8595 (2.0479)	Prec@1 49.000 (47.285)	Prec@5 79.000 (77.761)
Epoch: [34][3850/9018]	Time 0.622 (0.622)	Data 0.001 (0.001)	Loss 2.0937 (2.0478)	Prec@1 45.000 (47.288)	Prec@5 78.500 (77.763)
Epoch: [34][3860/9018]	Time 0.624 (0.622)	Data 0.001 (0.001)	Loss 2.1516 (2.0478)	Prec@1 44.000 (47.291)	Prec@5 77.000 (77.763)
Epoch: [34][3870/9018]	Time 0.623 (0.622)	Data 0.001 (0.001)	Loss 2.1212 (2.0479)	Prec@1 44.500 (47.291)	Prec@5 76.500 (77.761)
Epoch: [34][3880/9018]	Time 0.616 (0.622)	Data 0.001 (0.001)	Loss 2.0903 (2.0479)	Prec@1 47.000 (47.289)	Prec@5 75.000 (77.758)
Epoch: [34][3890/9018]	Time 0.626 (0.622)	Data 0.001 (0.001)	Loss 2.2196 (2.0478)	Prec@1 41.000 (47.293)	Prec@5 77.000 (77.761)
Epoch: [34][3900/9018]	Time 0.626 (0.622)	Data 0.001 (0.001)	Loss 1.9760 (2.0478)	Prec@1 45.500 (47.295)	Prec@5 82.500 (77.762)
Epoch: [34][3910/9018]	Time 0.627 (0.622)	Data 0.001 (0.001)	Loss 2.0993 (2.0478)	Prec@1 47.000 (47.298)	Prec@5 80.000 (77.765)
Epoch: [34][3920/9018]	Time 0.620 (0.622)	Data 0.001 (0.001)	Loss 2.2080 (2.0479)	Prec@1 44.000 (47.299)	Prec@5 75.500 (77.764)
Epoch: [34][3930/9018]	Time 0.620 (0.622)	Data 0.001 (0.001)	Loss 2.0041 (2.0478)	Prec@1 46.500 (47.296)	Prec@5 76.500 (77.764)
Epoch: [34][3940/9018]	Time 0.620 (0.622)	Data 0.001 (0.001)	Loss 2.1238 (2.0480)	Prec@1 44.500 (47.292)	Prec@5 75.000 (77.762)
Epoch: [34][3950/9018]	Time 0.623 (0.623)	Data 0.001 (0.001)	Loss 2.0736 (2.0480)	Prec@1 48.500 (47.288)	Prec@5 78.500 (77.764)
Epoch: [34][3960/9018]	Time 0.625 (0.623)	Data 0.001 (0.001)	Loss 2.0525 (2.0482)	Prec@1 49.500 (47.286)	Prec@5 77.000 (77.760)
Epoch: [34][3970/9018]	Time 0.624 (0.623)	Data 0.001 (0.001)	Loss 1.9888 (2.0481)	Prec@1 51.000 (47.292)	Prec@5 76.500 (77.761)
Epoch: [34][3980/9018]	Time 0.621 (0.623)	Data 0.001 (0.001)	Loss 2.2046 (2.0483)	Prec@1 45.500 (47.286)	Prec@5 71.500 (77.757)
Epoch: [34][3990/9018]	Time 0.619 (0.623)	Data 0.001 (0.001)	Loss 2.2554 (2.0484)	Prec@1 42.000 (47.283)	Prec@5 77.000 (77.754)
Epoch: [34][4000/9018]	Time 0.625 (0.623)	Data 0.001 (0.001)	Loss 1.9768 (2.0483)	Prec@1 49.000 (47.287)	Prec@5 80.000 (77.756)
Epoch: [34][4010/9018]	Time 0.621 (0.623)	Data 0.001 (0.001)	Loss 1.9948 (2.0483)	Prec@1 46.000 (47.287)	Prec@5 79.500 (77.756)
Epoch: [34][4020/9018]	Time 0.627 (0.623)	Data 0.001 (0.001)	Loss 2.0536 (2.0484)	Prec@1 42.000 (47.284)	Prec@5 79.500 (77.756)
Epoch: [34][4030/9018]	Time 0.625 (0.623)	Data 0.001 (0.001)	Loss 2.0905 (2.0484)	Prec@1 42.500 (47.286)	Prec@5 79.500 (77.757)
Epoch: [34][4040/9018]	Time 0.627 (0.623)	Data 0.001 (0.001)	Loss 2.0337 (2.0484)	Prec@1 51.000 (47.283)	Prec@5 77.500 (77.756)
Epoch: [34][4050/9018]	Time 0.627 (0.623)	Data 0.001 (0.001)	Loss 2.2285 (2.0485)	Prec@1 45.000 (47.283)	Prec@5 74.000 (77.756)
Epoch: [34][4060/9018]	Time 0.720 (0.623)	Data 0.001 (0.001)	Loss 1.9887 (2.0485)	Prec@1 45.500 (47.281)	Prec@5 82.500 (77.755)
Epoch: [34][4070/9018]	Time 0.626 (0.623)	Data 0.001 (0.001)	Loss 1.8228 (2.0485)	Prec@1 49.000 (47.282)	Prec@5 82.500 (77.756)
Epoch: [34][4080/9018]	Time 0.622 (0.623)	Data 0.001 (0.001)	Loss 2.0471 (2.0485)	Prec@1 48.500 (47.284)	Prec@5 78.000 (77.756)
Epoch: [34][4090/9018]	Time 0.622 (0.623)	Data 0.001 (0.001)	Loss 2.0655 (2.0485)	Prec@1 49.000 (47.284)	Prec@5 79.000 (77.757)
Epoch: [34][4100/9018]	Time 0.620 (0.623)	Data 0.001 (0.001)	Loss 1.9657 (2.0486)	Prec@1 46.500 (47.280)	Prec@5 82.500 (77.757)
Epoch: [34][4110/9018]	Time 0.737 (0.623)	Data 0.001 (0.001)	Loss 2.0842 (2.0487)	Prec@1 46.500 (47.278)	Prec@5 75.000 (77.757)
Epoch: [34][4120/9018]	Time 0.620 (0.623)	Data 0.001 (0.001)	Loss 2.1118 (2.0485)	Prec@1 43.000 (47.279)	Prec@5 78.000 (77.763)
Epoch: [34][4130/9018]	Time 0.624 (0.623)	Data 0.001 (0.001)	Loss 2.2458 (2.0486)	Prec@1 41.000 (47.277)	Prec@5 74.500 (77.761)
Epoch: [34][4140/9018]	Time 0.627 (0.623)	Data 0.001 (0.001)	Loss 1.9657 (2.0485)	Prec@1 50.500 (47.279)	Prec@5 80.000 (77.763)
Epoch: [34][4150/9018]	Time 0.625 (0.623)	Data 0.001 (0.001)	Loss 2.0628 (2.0487)	Prec@1 44.000 (47.276)	Prec@5 76.000 (77.760)
Epoch: [34][4160/9018]	Time 0.615 (0.623)	Data 0.001 (0.001)	Loss 1.9754 (2.0487)	Prec@1 47.000 (47.277)	Prec@5 80.500 (77.761)
Epoch: [34][4170/9018]	Time 0.617 (0.623)	Data 0.001 (0.001)	Loss 2.1918 (2.0487)	Prec@1 43.000 (47.276)	Prec@5 76.000 (77.762)
Epoch: [34][4180/9018]	Time 0.628 (0.623)	Data 0.001 (0.001)	Loss 2.1867 (2.0489)	Prec@1 47.000 (47.275)	Prec@5 78.000 (77.761)
Epoch: [34][4190/9018]	Time 0.626 (0.623)	Data 0.001 (0.001)	Loss 2.0130 (2.0490)	Prec@1 45.500 (47.272)	Prec@5 79.000 (77.760)
Epoch: [34][4200/9018]	Time 0.625 (0.623)	Data 0.001 (0.001)	Loss 1.7681 (2.0488)	Prec@1 53.000 (47.272)	Prec@5 83.000 (77.763)
Epoch: [34][4210/9018]	Time 0.623 (0.623)	Data 0.001 (0.001)	Loss 2.0925 (2.0489)	Prec@1 44.000 (47.271)	Prec@5 77.500 (77.761)
Epoch: [34][4220/9018]	Time 0.628 (0.623)	Data 0.001 (0.001)	Loss 2.1689 (2.0488)	Prec@1 44.000 (47.271)	Prec@5 76.500 (77.762)
Epoch: [34][4230/9018]	Time 0.629 (0.623)	Data 0.001 (0.001)	Loss 2.0645 (2.0489)	Prec@1 42.500 (47.273)	Prec@5 76.500 (77.761)
Epoch: [34][4240/9018]	Time 0.621 (0.623)	Data 0.001 (0.001)	Loss 2.0892 (2.0489)	Prec@1 47.000 (47.273)	Prec@5 76.500 (77.760)
Epoch: [34][4250/9018]	Time 0.623 (0.623)	Data 0.001 (0.001)	Loss 1.8900 (2.0487)	Prec@1 48.500 (47.276)	Prec@5 82.000 (77.763)
Epoch: [34][4260/9018]	Time 0.624 (0.623)	Data 0.001 (0.001)	Loss 1.8391 (2.0487)	Prec@1 52.500 (47.277)	Prec@5 82.000 (77.760)
Epoch: [34][4270/9018]	Time 0.624 (0.623)	Data 0.001 (0.001)	Loss 2.2410 (2.0488)	Prec@1 43.500 (47.277)	Prec@5 74.500 (77.760)
Epoch: [34][4280/9018]	Time 0.624 (0.623)	Data 0.001 (0.001)	Loss 2.1376 (2.0488)	Prec@1 48.000 (47.278)	Prec@5 76.000 (77.761)
Epoch: [34][4290/9018]	Time 0.623 (0.623)	Data 0.001 (0.001)	Loss 2.0859 (2.0489)	Prec@1 44.500 (47.277)	Prec@5 79.000 (77.759)
Epoch: [34][4300/9018]	Time 0.621 (0.623)	Data 0.001 (0.001)	Loss 2.0279 (2.0489)	Prec@1 47.000 (47.276)	Prec@5 77.500 (77.761)
Epoch: [34][4310/9018]	Time 0.624 (0.623)	Data 0.001 (0.001)	Loss 1.9495 (2.0488)	Prec@1 47.500 (47.277)	Prec@5 80.500 (77.762)
Epoch: [34][4320/9018]	Time 0.623 (0.623)	Data 0.001 (0.001)	Loss 1.7113 (2.0487)	Prec@1 52.500 (47.280)	Prec@5 84.000 (77.764)
Epoch: [34][4330/9018]	Time 0.626 (0.623)	Data 0.001 (0.001)	Loss 1.9097 (2.0486)	Prec@1 50.500 (47.278)	Prec@5 79.500 (77.765)
Epoch: [34][4340/9018]	Time 0.630 (0.623)	Data 0.001 (0.001)	Loss 1.8653 (2.0486)	Prec@1 52.500 (47.279)	Prec@5 80.500 (77.767)
Epoch: [34][4350/9018]	Time 0.626 (0.623)	Data 0.001 (0.001)	Loss 2.0196 (2.0487)	Prec@1 44.500 (47.279)	Prec@5 77.500 (77.765)
Epoch: [34][4360/9018]	Time 0.625 (0.623)	Data 0.001 (0.001)	Loss 2.0806 (2.0487)	Prec@1 50.000 (47.281)	Prec@5 78.000 (77.762)
Epoch: [34][4370/9018]	Time 0.623 (0.623)	Data 0.001 (0.001)	Loss 1.9588 (2.0489)	Prec@1 52.500 (47.278)	Prec@5 80.500 (77.761)
Epoch: [34][4380/9018]	Time 0.619 (0.623)	Data 0.001 (0.001)	Loss 2.0411 (2.0488)	Prec@1 43.000 (47.278)	Prec@5 79.000 (77.764)
Epoch: [34][4390/9018]	Time 0.745 (0.623)	Data 0.001 (0.001)	Loss 1.8857 (2.0487)	Prec@1 50.500 (47.282)	Prec@5 79.500 (77.767)
Epoch: [34][4400/9018]	Time 0.623 (0.623)	Data 0.001 (0.001)	Loss 2.0453 (2.0486)	Prec@1 49.500 (47.282)	Prec@5 77.000 (77.770)
Epoch: [34][4410/9018]	Time 0.625 (0.623)	Data 0.001 (0.001)	Loss 1.8088 (2.0487)	Prec@1 55.500 (47.282)	Prec@5 82.000 (77.769)
Epoch: [34][4420/9018]	Time 0.632 (0.623)	Data 0.001 (0.001)	Loss 2.1556 (2.0487)	Prec@1 49.000 (47.283)	Prec@5 74.500 (77.769)
Epoch: [34][4430/9018]	Time 0.623 (0.623)	Data 0.001 (0.001)	Loss 1.9627 (2.0488)	Prec@1 48.000 (47.281)	Prec@5 79.500 (77.765)
Epoch: [34][4440/9018]	Time 0.745 (0.623)	Data 0.001 (0.001)	Loss 2.0059 (2.0489)	Prec@1 47.000 (47.279)	Prec@5 79.000 (77.766)
Epoch: [34][4450/9018]	Time 0.621 (0.623)	Data 0.001 (0.001)	Loss 2.2049 (2.0488)	Prec@1 45.000 (47.277)	Prec@5 77.000 (77.766)
Epoch: [34][4460/9018]	Time 0.622 (0.624)	Data 0.001 (0.001)	Loss 1.8533 (2.0486)	Prec@1 48.000 (47.283)	Prec@5 81.500 (77.770)
Epoch: [34][4470/9018]	Time 0.616 (0.624)	Data 0.001 (0.001)	Loss 1.9930 (2.0487)	Prec@1 45.000 (47.280)	Prec@5 78.500 (77.768)
Epoch: [34][4480/9018]	Time 0.621 (0.624)	Data 0.001 (0.001)	Loss 1.9089 (2.0486)	Prec@1 48.500 (47.283)	Prec@5 83.000 (77.771)
Epoch: [34][4490/9018]	Time 0.624 (0.624)	Data 0.001 (0.001)	Loss 2.0314 (2.0487)	Prec@1 51.000 (47.283)	Prec@5 77.500 (77.768)
Epoch: [34][4500/9018]	Time 0.622 (0.624)	Data 0.001 (0.001)	Loss 1.8571 (2.0488)	Prec@1 53.500 (47.283)	Prec@5 81.500 (77.768)
Epoch: [34][4510/9018]	Time 0.625 (0.624)	Data 0.001 (0.001)	Loss 2.1132 (2.0490)	Prec@1 45.000 (47.280)	Prec@5 77.000 (77.766)
Epoch: [34][4520/9018]	Time 0.625 (0.624)	Data 0.001 (0.001)	Loss 1.9590 (2.0489)	Prec@1 50.000 (47.282)	Prec@5 78.500 (77.769)
Epoch: [34][4530/9018]	Time 0.622 (0.624)	Data 0.001 (0.001)	Loss 1.9525 (2.0488)	Prec@1 51.000 (47.282)	Prec@5 78.000 (77.771)
Epoch: [34][4540/9018]	Time 0.615 (0.624)	Data 0.001 (0.001)	Loss 2.1893 (2.0488)	Prec@1 42.000 (47.284)	Prec@5 77.500 (77.772)
Epoch: [34][4550/9018]	Time 0.625 (0.624)	Data 0.001 (0.001)	Loss 2.3172 (2.0489)	Prec@1 40.500 (47.282)	Prec@5 73.000 (77.771)
Epoch: [34][4560/9018]	Time 0.623 (0.624)	Data 0.001 (0.001)	Loss 2.0129 (2.0490)	Prec@1 51.000 (47.279)	Prec@5 76.500 (77.768)
Epoch: [34][4570/9018]	Time 0.626 (0.624)	Data 0.001 (0.001)	Loss 2.0522 (2.0491)	Prec@1 42.500 (47.278)	Prec@5 78.000 (77.766)
Epoch: [34][4580/9018]	Time 0.625 (0.624)	Data 0.001 (0.001)	Loss 2.0883 (2.0492)	Prec@1 46.500 (47.274)	Prec@5 76.000 (77.763)
Epoch: [34][4590/9018]	Time 0.623 (0.624)	Data 0.001 (0.001)	Loss 2.0844 (2.0491)	Prec@1 46.500 (47.275)	Prec@5 78.500 (77.764)
Epoch: [34][4600/9018]	Time 0.625 (0.624)	Data 0.001 (0.001)	Loss 1.9737 (2.0492)	Prec@1 47.000 (47.272)	Prec@5 81.500 (77.764)
Epoch: [34][4610/9018]	Time 0.624 (0.624)	Data 0.001 (0.001)	Loss 2.2114 (2.0490)	Prec@1 40.000 (47.274)	Prec@5 75.500 (77.765)
Epoch: [34][4620/9018]	Time 0.622 (0.624)	Data 0.001 (0.001)	Loss 2.1149 (2.0490)	Prec@1 47.000 (47.275)	Prec@5 77.500 (77.763)
Epoch: [34][4630/9018]	Time 0.621 (0.624)	Data 0.001 (0.001)	Loss 2.1258 (2.0491)	Prec@1 43.000 (47.275)	Prec@5 78.500 (77.761)
Epoch: [34][4640/9018]	Time 0.624 (0.624)	Data 0.001 (0.001)	Loss 2.1062 (2.0493)	Prec@1 45.500 (47.271)	Prec@5 77.000 (77.758)
Epoch: [34][4650/9018]	Time 0.628 (0.624)	Data 0.001 (0.001)	Loss 2.3455 (2.0494)	Prec@1 43.000 (47.269)	Prec@5 73.000 (77.757)
Epoch: [34][4660/9018]	Time 0.622 (0.624)	Data 0.001 (0.001)	Loss 2.0178 (2.0493)	Prec@1 47.000 (47.271)	Prec@5 80.500 (77.757)
Epoch: [34][4670/9018]	Time 0.624 (0.624)	Data 0.001 (0.001)	Loss 2.1581 (2.0493)	Prec@1 44.500 (47.273)	Prec@5 75.500 (77.757)
Epoch: [34][4680/9018]	Time 0.615 (0.624)	Data 0.001 (0.001)	Loss 1.8994 (2.0493)	Prec@1 49.500 (47.271)	Prec@5 77.500 (77.755)
Epoch: [34][4690/9018]	Time 0.628 (0.624)	Data 0.001 (0.001)	Loss 1.9396 (2.0493)	Prec@1 50.000 (47.273)	Prec@5 81.000 (77.756)
Epoch: [34][4700/9018]	Time 0.628 (0.624)	Data 0.001 (0.001)	Loss 1.8286 (2.0494)	Prec@1 52.500 (47.271)	Prec@5 79.000 (77.754)
Epoch: [34][4710/9018]	Time 0.628 (0.624)	Data 0.001 (0.001)	Loss 2.0045 (2.0493)	Prec@1 52.500 (47.273)	Prec@5 81.000 (77.755)
Epoch: [34][4720/9018]	Time 0.744 (0.624)	Data 0.001 (0.001)	Loss 2.1959 (2.0494)	Prec@1 46.500 (47.273)	Prec@5 73.500 (77.754)
Epoch: [34][4730/9018]	Time 0.627 (0.624)	Data 0.001 (0.001)	Loss 2.0007 (2.0493)	Prec@1 50.000 (47.274)	Prec@5 79.000 (77.754)
Epoch: [34][4740/9018]	Time 0.616 (0.624)	Data 0.001 (0.001)	Loss 2.0434 (2.0494)	Prec@1 47.500 (47.270)	Prec@5 75.000 (77.751)
Epoch: [34][4750/9018]	Time 0.628 (0.624)	Data 0.001 (0.001)	Loss 1.8829 (2.0494)	Prec@1 49.500 (47.272)	Prec@5 82.000 (77.752)
Epoch: [34][4760/9018]	Time 0.629 (0.624)	Data 0.001 (0.001)	Loss 2.2331 (2.0492)	Prec@1 44.000 (47.275)	Prec@5 75.500 (77.754)
Epoch: [34][4770/9018]	Time 0.732 (0.624)	Data 0.001 (0.001)	Loss 2.0509 (2.0492)	Prec@1 50.500 (47.278)	Prec@5 76.500 (77.754)
Epoch: [34][4780/9018]	Time 0.624 (0.624)	Data 0.001 (0.001)	Loss 1.9857 (2.0491)	Prec@1 49.000 (47.280)	Prec@5 79.000 (77.756)
Epoch: [34][4790/9018]	Time 0.627 (0.624)	Data 0.001 (0.001)	Loss 2.0729 (2.0491)	Prec@1 45.500 (47.278)	Prec@5 76.500 (77.757)
Epoch: [34][4800/9018]	Time 0.622 (0.624)	Data 0.001 (0.001)	Loss 2.0003 (2.0491)	Prec@1 48.000 (47.277)	Prec@5 77.500 (77.755)
Epoch: [34][4810/9018]	Time 0.621 (0.624)	Data 0.001 (0.001)	Loss 2.1379 (2.0491)	Prec@1 48.500 (47.280)	Prec@5 75.000 (77.755)
Epoch: [34][4820/9018]	Time 0.619 (0.624)	Data 0.001 (0.001)	Loss 2.2260 (2.0492)	Prec@1 44.500 (47.277)	Prec@5 71.500 (77.752)
Epoch: [34][4830/9018]	Time 0.625 (0.624)	Data 0.001 (0.001)	Loss 2.0952 (2.0492)	Prec@1 45.500 (47.274)	Prec@5 76.000 (77.751)
Epoch: [34][4840/9018]	Time 0.625 (0.624)	Data 0.001 (0.001)	Loss 1.9191 (2.0491)	Prec@1 50.000 (47.277)	Prec@5 80.500 (77.752)
Epoch: [34][4850/9018]	Time 0.621 (0.624)	Data 0.001 (0.001)	Loss 2.0909 (2.0491)	Prec@1 47.500 (47.279)	Prec@5 77.000 (77.752)
Epoch: [34][4860/9018]	Time 0.620 (0.624)	Data 0.001 (0.001)	Loss 2.0383 (2.0492)	Prec@1 44.500 (47.279)	Prec@5 77.000 (77.750)
Epoch: [34][4870/9018]	Time 0.623 (0.624)	Data 0.001 (0.001)	Loss 1.9804 (2.0492)	Prec@1 44.500 (47.278)	Prec@5 78.000 (77.750)
Epoch: [34][4880/9018]	Time 0.621 (0.624)	Data 0.001 (0.001)	Loss 2.1450 (2.0493)	Prec@1 42.500 (47.275)	Prec@5 78.000 (77.749)
Epoch: [34][4890/9018]	Time 0.626 (0.624)	Data 0.001 (0.001)	Loss 2.0779 (2.0494)	Prec@1 43.500 (47.274)	Prec@5 80.500 (77.748)
Epoch: [34][4900/9018]	Time 0.630 (0.624)	Data 0.001 (0.001)	Loss 2.0771 (2.0494)	Prec@1 47.500 (47.274)	Prec@5 75.500 (77.745)
Epoch: [34][4910/9018]	Time 0.625 (0.624)	Data 0.001 (0.001)	Loss 1.8412 (2.0494)	Prec@1 53.500 (47.275)	Prec@5 84.000 (77.746)
Epoch: [34][4920/9018]	Time 0.632 (0.624)	Data 0.001 (0.001)	Loss 2.0803 (2.0495)	Prec@1 43.500 (47.273)	Prec@5 80.000 (77.745)
Epoch: [34][4930/9018]	Time 0.630 (0.624)	Data 0.001 (0.001)	Loss 2.0527 (2.0494)	Prec@1 46.500 (47.276)	Prec@5 79.500 (77.747)
Epoch: [34][4940/9018]	Time 0.628 (0.624)	Data 0.001 (0.001)	Loss 2.0467 (2.0496)	Prec@1 48.500 (47.270)	Prec@5 78.500 (77.746)
Epoch: [34][4950/9018]	Time 0.624 (0.624)	Data 0.001 (0.001)	Loss 2.1275 (2.0495)	Prec@1 50.500 (47.274)	Prec@5 75.500 (77.748)
Epoch: [34][4960/9018]	Time 0.623 (0.624)	Data 0.001 (0.001)	Loss 2.1459 (2.0494)	Prec@1 43.500 (47.275)	Prec@5 77.500 (77.748)
Epoch: [34][4970/9018]	Time 0.629 (0.624)	Data 0.001 (0.001)	Loss 2.0637 (2.0495)	Prec@1 50.500 (47.273)	Prec@5 78.500 (77.747)
Epoch: [34][4980/9018]	Time 0.623 (0.624)	Data 0.001 (0.001)	Loss 1.8092 (2.0495)	Prec@1 52.500 (47.272)	Prec@5 81.500 (77.748)
Epoch: [34][4990/9018]	Time 0.626 (0.624)	Data 0.001 (0.001)	Loss 2.1768 (2.0495)	Prec@1 43.500 (47.271)	Prec@5 75.000 (77.747)
Epoch: [34][5000/9018]	Time 0.625 (0.624)	Data 0.001 (0.001)	Loss 1.9677 (2.0495)	Prec@1 50.000 (47.272)	Prec@5 79.000 (77.747)
Epoch: [34][5010/9018]	Time 0.623 (0.624)	Data 0.001 (0.001)	Loss 1.8833 (2.0495)	Prec@1 49.000 (47.271)	Prec@5 77.500 (77.745)
Epoch: [34][5020/9018]	Time 0.620 (0.624)	Data 0.001 (0.001)	Loss 1.8297 (2.0495)	Prec@1 49.000 (47.271)	Prec@5 83.000 (77.745)
Epoch: [34][5030/9018]	Time 0.619 (0.624)	Data 0.001 (0.001)	Loss 2.2266 (2.0496)	Prec@1 38.500 (47.268)	Prec@5 74.000 (77.741)
Epoch: [34][5040/9018]	Time 0.624 (0.624)	Data 0.001 (0.001)	Loss 2.2237 (2.0496)	Prec@1 40.500 (47.267)	Prec@5 75.500 (77.742)
Epoch: [34][5050/9018]	Time 0.750 (0.624)	Data 0.001 (0.001)	Loss 2.1734 (2.0496)	Prec@1 43.000 (47.266)	Prec@5 74.500 (77.741)
Epoch: [34][5060/9018]	Time 0.631 (0.624)	Data 0.001 (0.001)	Loss 2.2757 (2.0496)	Prec@1 45.500 (47.267)	Prec@5 74.000 (77.743)
Epoch: [34][5070/9018]	Time 0.626 (0.624)	Data 0.001 (0.001)	Loss 2.1298 (2.0498)	Prec@1 47.000 (47.265)	Prec@5 77.500 (77.742)
Epoch: [34][5080/9018]	Time 0.627 (0.624)	Data 0.001 (0.001)	Loss 2.1342 (2.0497)	Prec@1 44.500 (47.266)	Prec@5 73.500 (77.741)
Epoch: [34][5090/9018]	Time 0.625 (0.624)	Data 0.001 (0.001)	Loss 2.2447 (2.0498)	Prec@1 43.000 (47.265)	Prec@5 73.500 (77.740)
Epoch: [34][5100/9018]	Time 0.720 (0.624)	Data 0.001 (0.001)	Loss 2.0031 (2.0498)	Prec@1 50.000 (47.269)	Prec@5 80.000 (77.739)
Epoch: [34][5110/9018]	Time 0.621 (0.624)	Data 0.001 (0.001)	Loss 2.4871 (2.0499)	Prec@1 39.500 (47.268)	Prec@5 70.000 (77.737)
Epoch: [34][5120/9018]	Time 0.625 (0.624)	Data 0.001 (0.001)	Loss 2.0131 (2.0499)	Prec@1 46.000 (47.269)	Prec@5 82.500 (77.736)
Epoch: [34][5130/9018]	Time 0.628 (0.624)	Data 0.001 (0.001)	Loss 2.4436 (2.0501)	Prec@1 44.000 (47.267)	Prec@5 73.500 (77.735)
Epoch: [34][5140/9018]	Time 0.627 (0.624)	Data 0.001 (0.001)	Loss 2.0435 (2.0500)	Prec@1 48.500 (47.268)	Prec@5 78.000 (77.735)
Epoch: [34][5150/9018]	Time 0.618 (0.625)	Data 0.001 (0.001)	Loss 1.9628 (2.0500)	Prec@1 49.500 (47.268)	Prec@5 80.500 (77.733)
Epoch: [34][5160/9018]	Time 0.627 (0.625)	Data 0.001 (0.001)	Loss 2.0413 (2.0500)	Prec@1 43.000 (47.263)	Prec@5 78.500 (77.733)
Epoch: [34][5170/9018]	Time 0.621 (0.625)	Data 0.001 (0.001)	Loss 2.1777 (2.0501)	Prec@1 43.000 (47.264)	Prec@5 77.500 (77.732)
Epoch: [34][5180/9018]	Time 0.626 (0.625)	Data 0.001 (0.001)	Loss 2.1377 (2.0500)	Prec@1 42.000 (47.263)	Prec@5 79.000 (77.733)
Epoch: [34][5190/9018]	Time 0.629 (0.625)	Data 0.001 (0.001)	Loss 2.1670 (2.0501)	Prec@1 42.500 (47.264)	Prec@5 76.500 (77.734)
Epoch: [34][5200/9018]	Time 0.616 (0.625)	Data 0.001 (0.001)	Loss 2.1851 (2.0501)	Prec@1 50.000 (47.267)	Prec@5 75.500 (77.734)
Epoch: [34][5210/9018]	Time 0.625 (0.625)	Data 0.001 (0.001)	Loss 2.1566 (2.0502)	Prec@1 44.000 (47.263)	Prec@5 75.500 (77.731)
Epoch: [34][5220/9018]	Time 0.622 (0.625)	Data 0.001 (0.001)	Loss 1.8711 (2.0503)	Prec@1 51.000 (47.260)	Prec@5 82.000 (77.730)
Epoch: [34][5230/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 2.0292 (2.0502)	Prec@1 47.000 (47.262)	Prec@5 78.000 (77.732)
Epoch: [34][5240/9018]	Time 0.629 (0.625)	Data 0.001 (0.001)	Loss 2.1711 (2.0502)	Prec@1 40.500 (47.262)	Prec@5 76.500 (77.730)
Epoch: [34][5250/9018]	Time 0.629 (0.625)	Data 0.001 (0.001)	Loss 2.1180 (2.0503)	Prec@1 43.000 (47.259)	Prec@5 75.000 (77.727)
Epoch: [34][5260/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 2.1072 (2.0504)	Prec@1 47.000 (47.258)	Prec@5 76.500 (77.728)
Epoch: [34][5270/9018]	Time 0.617 (0.625)	Data 0.001 (0.001)	Loss 2.2943 (2.0505)	Prec@1 42.000 (47.257)	Prec@5 69.500 (77.727)
Epoch: [34][5280/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 2.1930 (2.0506)	Prec@1 50.000 (47.257)	Prec@5 77.500 (77.725)
Epoch: [34][5290/9018]	Time 0.622 (0.625)	Data 0.001 (0.001)	Loss 2.0222 (2.0506)	Prec@1 47.000 (47.256)	Prec@5 78.500 (77.727)
Epoch: [34][5300/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 1.7704 (2.0506)	Prec@1 50.500 (47.254)	Prec@5 84.000 (77.726)
Epoch: [34][5310/9018]	Time 0.630 (0.625)	Data 0.001 (0.001)	Loss 2.1574 (2.0506)	Prec@1 46.000 (47.254)	Prec@5 75.500 (77.727)
Epoch: [34][5320/9018]	Time 0.629 (0.625)	Data 0.001 (0.001)	Loss 1.9131 (2.0506)	Prec@1 51.000 (47.259)	Prec@5 79.000 (77.729)
Epoch: [34][5330/9018]	Time 0.618 (0.625)	Data 0.001 (0.001)	Loss 2.1272 (2.0506)	Prec@1 49.000 (47.257)	Prec@5 74.500 (77.728)
Epoch: [34][5340/9018]	Time 0.617 (0.625)	Data 0.001 (0.001)	Loss 2.0925 (2.0507)	Prec@1 48.500 (47.257)	Prec@5 73.000 (77.726)
Epoch: [34][5350/9018]	Time 0.622 (0.625)	Data 0.001 (0.001)	Loss 2.2565 (2.0507)	Prec@1 45.000 (47.259)	Prec@5 73.500 (77.724)
Epoch: [34][5360/9018]	Time 0.623 (0.625)	Data 0.001 (0.001)	Loss 1.8625 (2.0507)	Prec@1 53.500 (47.261)	Prec@5 80.500 (77.725)
Epoch: [34][5370/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 2.1673 (2.0506)	Prec@1 40.000 (47.262)	Prec@5 77.000 (77.728)
Epoch: [34][5380/9018]	Time 0.747 (0.625)	Data 0.001 (0.001)	Loss 1.9243 (2.0506)	Prec@1 51.000 (47.264)	Prec@5 80.000 (77.727)
Epoch: [34][5390/9018]	Time 0.627 (0.625)	Data 0.001 (0.001)	Loss 2.1746 (2.0506)	Prec@1 39.000 (47.262)	Prec@5 79.000 (77.727)
Epoch: [34][5400/9018]	Time 0.625 (0.625)	Data 0.001 (0.001)	Loss 1.7954 (2.0507)	Prec@1 49.000 (47.263)	Prec@5 81.500 (77.724)
Epoch: [34][5410/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 2.1873 (2.0508)	Prec@1 45.000 (47.259)	Prec@5 75.500 (77.723)
Epoch: [34][5420/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 2.2607 (2.0508)	Prec@1 43.500 (47.260)	Prec@5 74.000 (77.723)
Epoch: [34][5430/9018]	Time 0.743 (0.625)	Data 0.001 (0.001)	Loss 2.0300 (2.0508)	Prec@1 46.000 (47.260)	Prec@5 74.500 (77.723)
Epoch: [34][5440/9018]	Time 0.630 (0.625)	Data 0.001 (0.001)	Loss 2.0818 (2.0508)	Prec@1 49.000 (47.261)	Prec@5 76.000 (77.722)
Epoch: [34][5450/9018]	Time 0.626 (0.625)	Data 0.001 (0.001)	Loss 2.2784 (2.0508)	Prec@1 42.500 (47.263)	Prec@5 71.500 (77.723)
Epoch: [34][5460/9018]	Time 0.620 (0.625)	Data 0.001 (0.001)	Loss 1.9273 (2.0508)	Prec@1 49.500 (47.262)	Prec@5 81.000 (77.723)
Epoch: [34][5470/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 2.0627 (2.0511)	Prec@1 47.000 (47.255)	Prec@5 74.500 (77.717)
Epoch: [34][5480/9018]	Time 0.620 (0.625)	Data 0.002 (0.001)	Loss 1.9435 (2.0512)	Prec@1 52.000 (47.255)	Prec@5 77.000 (77.717)
Epoch: [34][5490/9018]	Time 0.620 (0.625)	Data 0.001 (0.001)	Loss 2.1756 (2.0512)	Prec@1 46.000 (47.257)	Prec@5 80.500 (77.717)
Epoch: [34][5500/9018]	Time 0.630 (0.625)	Data 0.001 (0.001)	Loss 2.1182 (2.0514)	Prec@1 48.000 (47.255)	Prec@5 76.500 (77.714)
Epoch: [34][5510/9018]	Time 0.621 (0.625)	Data 0.001 (0.001)	Loss 1.9361 (2.0514)	Prec@1 46.000 (47.256)	Prec@5 80.500 (77.715)
Epoch: [34][5520/9018]	Time 0.617 (0.625)	Data 0.001 (0.001)	Loss 2.2882 (2.0514)	Prec@1 43.000 (47.258)	Prec@5 73.000 (77.714)
Epoch: [34][5530/9018]	Time 0.619 (0.625)	Data 0.001 (0.001)	Loss 1.9231 (2.0514)	Prec@1 51.500 (47.260)	Prec@5 81.000 (77.717)
Epoch: [34][5540/9018]	Time 0.631 (0.625)	Data 0.001 (0.001)	Loss 1.8056 (2.0514)	Prec@1 54.500 (47.261)	Prec@5 83.000 (77.718)
Epoch: [34][5550/9018]	Time 0.622 (0.625)	Data 0.001 (0.001)	Loss 2.1797 (2.0514)	Prec@1 50.000 (47.262)	Prec@5 72.000 (77.717)
Epoch: [34][5560/9018]	Time 0.626 (0.625)	Data 0.001 (0.001)	Loss 2.1278 (2.0515)	Prec@1 45.500 (47.262)	Prec@5 77.500 (77.716)
Epoch: [34][5570/9018]	Time 0.626 (0.625)	Data 0.003 (0.001)	Loss 1.9836 (2.0514)	Prec@1 49.500 (47.265)	Prec@5 81.000 (77.718)
Epoch: [34][5580/9018]	Time 0.622 (0.625)	Data 0.001 (0.001)	Loss 2.1353 (2.0514)	Prec@1 45.500 (47.264)	Prec@5 79.000 (77.719)
Epoch: [34][5590/9018]	Time 0.626 (0.625)	Data 0.001 (0.001)	Loss 2.2408 (2.0514)	Prec@1 45.000 (47.265)	Prec@5 75.000 (77.719)
Epoch: [34][5600/9018]	Time 0.627 (0.625)	Data 0.001 (0.001)	Loss 2.0512 (2.0514)	Prec@1 48.000 (47.263)	Prec@5 72.500 (77.719)
Epoch: [34][5610/9018]	Time 0.628 (0.625)	Data 0.001 (0.001)	Loss 2.0016 (2.0515)	Prec@1 49.000 (47.263)	Prec@5 79.000 (77.719)
Epoch: [34][5620/9018]	Time 0.622 (0.625)	Data 0.001 (0.001)	Loss 1.9423 (2.0514)	Prec@1 47.000 (47.264)	Prec@5 80.000 (77.720)
Epoch: [34][5630/9018]	Time 0.620 (0.625)	Data 0.001 (0.001)	Loss 2.0343 (2.0515)	Prec@1 48.500 (47.264)	Prec@5 75.500 (77.717)
Epoch: [34][5640/9018]	Time 0.637 (0.625)	Data 0.001 (0.001)	Loss 1.9773 (2.0516)	Prec@1 51.500 (47.260)	Prec@5 78.000 (77.714)
Epoch: [34][5650/9018]	Time 0.627 (0.625)	Data 0.001 (0.001)	Loss 2.3362 (2.0518)	Prec@1 40.500 (47.257)	Prec@5 73.500 (77.711)
Epoch: [34][5660/9018]	Time 0.625 (0.625)	Data 0.001 (0.001)	Loss 1.9843 (2.0518)	Prec@1 48.500 (47.258)	Prec@5 81.000 (77.710)
Epoch: [34][5670/9018]	Time 0.622 (0.625)	Data 0.001 (0.001)	Loss 2.1751 (2.0519)	Prec@1 44.500 (47.255)	Prec@5 75.000 (77.708)
Epoch: [34][5680/9018]	Time 0.619 (0.625)	Data 0.001 (0.001)	Loss 1.8896 (2.0519)	Prec@1 52.000 (47.252)	Prec@5 81.000 (77.707)
Epoch: [34][5690/9018]	Time 0.626 (0.625)	Data 0.001 (0.001)	Loss 1.8882 (2.0520)	Prec@1 52.000 (47.251)	Prec@5 83.000 (77.706)
Epoch: [34][5700/9018]	Time 0.621 (0.625)	Data 0.001 (0.001)	Loss 2.0407 (2.0521)	Prec@1 49.500 (47.247)	Prec@5 79.000 (77.705)
Epoch: [34][5710/9018]	Time 0.735 (0.625)	Data 0.001 (0.001)	Loss 1.9354 (2.0521)	Prec@1 50.000 (47.245)	Prec@5 78.500 (77.704)
Epoch: [34][5720/9018]	Time 0.623 (0.625)	Data 0.001 (0.001)	Loss 1.9641 (2.0521)	Prec@1 48.500 (47.246)	Prec@5 78.000 (77.706)
Epoch: [34][5730/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 1.8485 (2.0519)	Prec@1 52.000 (47.250)	Prec@5 83.000 (77.710)
Epoch: [34][5740/9018]	Time 0.626 (0.625)	Data 0.001 (0.001)	Loss 2.1690 (2.0519)	Prec@1 45.500 (47.249)	Prec@5 73.500 (77.711)
Epoch: [34][5750/9018]	Time 0.629 (0.625)	Data 0.001 (0.001)	Loss 2.1035 (2.0519)	Prec@1 46.000 (47.250)	Prec@5 76.000 (77.710)
Epoch: [34][5760/9018]	Time 0.736 (0.625)	Data 0.001 (0.001)	Loss 2.0915 (2.0519)	Prec@1 43.000 (47.249)	Prec@5 74.000 (77.710)
Epoch: [34][5770/9018]	Time 0.623 (0.625)	Data 0.001 (0.001)	Loss 1.9285 (2.0520)	Prec@1 51.500 (47.250)	Prec@5 81.000 (77.709)
Epoch: [34][5780/9018]	Time 0.631 (0.625)	Data 0.001 (0.001)	Loss 2.1906 (2.0520)	Prec@1 41.500 (47.247)	Prec@5 74.500 (77.708)
Epoch: [34][5790/9018]	Time 0.623 (0.625)	Data 0.001 (0.001)	Loss 2.1496 (2.0520)	Prec@1 45.000 (47.248)	Prec@5 74.000 (77.709)
Epoch: [34][5800/9018]	Time 0.627 (0.625)	Data 0.001 (0.001)	Loss 2.0209 (2.0520)	Prec@1 51.000 (47.249)	Prec@5 78.500 (77.709)
Epoch: [34][5810/9018]	Time 0.616 (0.625)	Data 0.001 (0.001)	Loss 2.1478 (2.0521)	Prec@1 46.000 (47.248)	Prec@5 73.000 (77.708)
Epoch: [34][5820/9018]	Time 0.619 (0.625)	Data 0.001 (0.001)	Loss 2.1501 (2.0521)	Prec@1 45.000 (47.248)	Prec@5 77.000 (77.708)
Epoch: [34][5830/9018]	Time 0.627 (0.625)	Data 0.001 (0.001)	Loss 1.7565 (2.0520)	Prec@1 52.000 (47.250)	Prec@5 84.500 (77.712)
Epoch: [34][5840/9018]	Time 0.625 (0.625)	Data 0.001 (0.001)	Loss 2.0984 (2.0520)	Prec@1 49.000 (47.248)	Prec@5 74.000 (77.712)
Epoch: [34][5850/9018]	Time 0.629 (0.625)	Data 0.001 (0.001)	Loss 2.0047 (2.0521)	Prec@1 48.000 (47.247)	Prec@5 82.500 (77.713)
Epoch: [34][5860/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 2.0577 (2.0521)	Prec@1 48.000 (47.247)	Prec@5 77.000 (77.711)
Epoch: [34][5870/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 1.9880 (2.0521)	Prec@1 49.500 (47.248)	Prec@5 80.500 (77.710)
Epoch: [34][5880/9018]	Time 0.632 (0.625)	Data 0.001 (0.001)	Loss 2.1811 (2.0521)	Prec@1 42.000 (47.245)	Prec@5 74.500 (77.709)
Epoch: [34][5890/9018]	Time 0.631 (0.625)	Data 0.001 (0.001)	Loss 1.8559 (2.0521)	Prec@1 51.500 (47.247)	Prec@5 81.500 (77.710)
Epoch: [34][5900/9018]	Time 0.632 (0.625)	Data 0.001 (0.001)	Loss 2.0407 (2.0522)	Prec@1 43.500 (47.242)	Prec@5 80.000 (77.708)
Epoch: [34][5910/9018]	Time 0.628 (0.625)	Data 0.001 (0.001)	Loss 2.0489 (2.0522)	Prec@1 45.000 (47.242)	Prec@5 78.500 (77.709)
Epoch: [34][5920/9018]	Time 0.623 (0.625)	Data 0.001 (0.001)	Loss 1.8670 (2.0521)	Prec@1 49.000 (47.244)	Prec@5 83.000 (77.711)
Epoch: [34][5930/9018]	Time 0.623 (0.625)	Data 0.001 (0.001)	Loss 2.2837 (2.0520)	Prec@1 40.000 (47.242)	Prec@5 70.000 (77.712)
Epoch: [34][5940/9018]	Time 0.625 (0.625)	Data 0.001 (0.001)	Loss 1.9632 (2.0520)	Prec@1 46.500 (47.241)	Prec@5 79.500 (77.714)
Epoch: [34][5950/9018]	Time 0.629 (0.625)	Data 0.001 (0.001)	Loss 1.9446 (2.0520)	Prec@1 54.000 (47.242)	Prec@5 80.500 (77.714)
Epoch: [34][5960/9018]	Time 0.625 (0.625)	Data 0.001 (0.001)	Loss 2.1831 (2.0521)	Prec@1 46.500 (47.241)	Prec@5 75.500 (77.713)
Epoch: [34][5970/9018]	Time 0.625 (0.625)	Data 0.001 (0.001)	Loss 2.0811 (2.0521)	Prec@1 48.500 (47.240)	Prec@5 75.000 (77.713)
Epoch: [34][5980/9018]	Time 0.619 (0.625)	Data 0.001 (0.001)	Loss 2.0543 (2.0521)	Prec@1 47.000 (47.238)	Prec@5 78.500 (77.713)
Epoch: [34][5990/9018]	Time 0.625 (0.625)	Data 0.001 (0.001)	Loss 2.0669 (2.0522)	Prec@1 52.000 (47.238)	Prec@5 79.500 (77.712)
Epoch: [34][6000/9018]	Time 0.620 (0.625)	Data 0.001 (0.001)	Loss 2.1475 (2.0523)	Prec@1 43.500 (47.237)	Prec@5 76.000 (77.708)
Epoch: [34][6010/9018]	Time 0.625 (0.626)	Data 0.001 (0.001)	Loss 2.1182 (2.0522)	Prec@1 46.500 (47.238)	Prec@5 75.000 (77.708)
Epoch: [34][6020/9018]	Time 0.623 (0.626)	Data 0.001 (0.001)	Loss 2.0485 (2.0522)	Prec@1 52.500 (47.238)	Prec@5 77.000 (77.708)
Epoch: [34][6030/9018]	Time 0.613 (0.626)	Data 0.001 (0.001)	Loss 2.1307 (2.0522)	Prec@1 49.000 (47.238)	Prec@5 76.500 (77.707)
Epoch: [34][6040/9018]	Time 0.740 (0.626)	Data 0.001 (0.001)	Loss 2.2203 (2.0522)	Prec@1 44.500 (47.239)	Prec@5 74.000 (77.706)
Epoch: [34][6050/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 1.7011 (2.0521)	Prec@1 59.500 (47.242)	Prec@5 85.500 (77.708)
Epoch: [34][6060/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 1.9629 (2.0522)	Prec@1 50.500 (47.240)	Prec@5 79.000 (77.707)
Epoch: [34][6070/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 2.1094 (2.0521)	Prec@1 46.000 (47.242)	Prec@5 77.500 (77.710)
Epoch: [34][6080/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 2.0144 (2.0521)	Prec@1 45.000 (47.242)	Prec@5 82.000 (77.710)
Epoch: [34][6090/9018]	Time 0.748 (0.626)	Data 0.001 (0.001)	Loss 2.1695 (2.0522)	Prec@1 44.500 (47.237)	Prec@5 73.500 (77.708)
Epoch: [34][6100/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 2.1183 (2.0523)	Prec@1 44.000 (47.236)	Prec@5 75.500 (77.705)
Epoch: [34][6110/9018]	Time 0.634 (0.626)	Data 0.001 (0.001)	Loss 1.9969 (2.0523)	Prec@1 49.500 (47.236)	Prec@5 77.000 (77.706)
Epoch: [34][6120/9018]	Time 0.623 (0.626)	Data 0.001 (0.001)	Loss 2.0483 (2.0524)	Prec@1 47.000 (47.236)	Prec@5 77.000 (77.704)
Epoch: [34][6130/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 2.0049 (2.0523)	Prec@1 45.500 (47.238)	Prec@5 78.500 (77.706)
Epoch: [34][6140/9018]	Time 0.622 (0.626)	Data 0.001 (0.001)	Loss 2.1474 (2.0523)	Prec@1 45.000 (47.239)	Prec@5 78.500 (77.706)
Epoch: [34][6150/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 1.9563 (2.0523)	Prec@1 51.500 (47.240)	Prec@5 81.000 (77.705)
Epoch: [34][6160/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 1.8969 (2.0524)	Prec@1 52.500 (47.239)	Prec@5 80.000 (77.704)
Epoch: [34][6170/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 2.3268 (2.0523)	Prec@1 39.500 (47.239)	Prec@5 71.000 (77.705)
Epoch: [34][6180/9018]	Time 0.630 (0.626)	Data 0.001 (0.001)	Loss 1.9689 (2.0523)	Prec@1 48.000 (47.239)	Prec@5 79.000 (77.706)
Epoch: [34][6190/9018]	Time 0.618 (0.626)	Data 0.001 (0.001)	Loss 2.2591 (2.0523)	Prec@1 39.500 (47.238)	Prec@5 75.500 (77.706)
Epoch: [34][6200/9018]	Time 0.628 (0.626)	Data 0.001 (0.001)	Loss 2.0445 (2.0522)	Prec@1 45.000 (47.239)	Prec@5 73.000 (77.707)
Epoch: [34][6210/9018]	Time 0.621 (0.626)	Data 0.001 (0.001)	Loss 2.1109 (2.0523)	Prec@1 48.500 (47.240)	Prec@5 76.500 (77.705)
Epoch: [34][6220/9018]	Time 0.620 (0.626)	Data 0.001 (0.001)	Loss 2.1207 (2.0524)	Prec@1 47.500 (47.238)	Prec@5 77.500 (77.704)
Epoch: [34][6230/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 2.1885 (2.0524)	Prec@1 45.500 (47.236)	Prec@5 77.000 (77.704)
Epoch: [34][6240/9018]	Time 0.617 (0.626)	Data 0.001 (0.001)	Loss 2.1085 (2.0525)	Prec@1 47.000 (47.235)	Prec@5 78.000 (77.702)
Epoch: [34][6250/9018]	Time 0.620 (0.626)	Data 0.001 (0.001)	Loss 2.2182 (2.0526)	Prec@1 43.500 (47.233)	Prec@5 73.500 (77.702)
Epoch: [34][6260/9018]	Time 0.618 (0.626)	Data 0.001 (0.001)	Loss 2.1338 (2.0526)	Prec@1 51.500 (47.235)	Prec@5 71.000 (77.701)
Epoch: [34][6270/9018]	Time 0.630 (0.626)	Data 0.001 (0.001)	Loss 2.0780 (2.0526)	Prec@1 45.000 (47.235)	Prec@5 77.500 (77.703)
Epoch: [34][6280/9018]	Time 0.637 (0.626)	Data 0.001 (0.001)	Loss 2.2596 (2.0527)	Prec@1 44.500 (47.234)	Prec@5 73.500 (77.701)
Epoch: [34][6290/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 2.0693 (2.0528)	Prec@1 48.000 (47.232)	Prec@5 78.000 (77.701)
Epoch: [34][6300/9018]	Time 0.621 (0.626)	Data 0.001 (0.001)	Loss 1.8349 (2.0527)	Prec@1 51.500 (47.232)	Prec@5 81.500 (77.700)
Epoch: [34][6310/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 1.8591 (2.0527)	Prec@1 50.500 (47.234)	Prec@5 80.000 (77.699)
Epoch: [34][6320/9018]	Time 0.627 (0.626)	Data 0.001 (0.001)	Loss 2.1651 (2.0526)	Prec@1 43.000 (47.237)	Prec@5 72.500 (77.700)
Epoch: [34][6330/9018]	Time 0.627 (0.626)	Data 0.001 (0.001)	Loss 1.9349 (2.0527)	Prec@1 49.000 (47.236)	Prec@5 78.000 (77.699)
Epoch: [34][6340/9018]	Time 0.627 (0.626)	Data 0.001 (0.001)	Loss 2.2029 (2.0526)	Prec@1 46.500 (47.239)	Prec@5 74.000 (77.699)
Epoch: [34][6350/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 2.4975 (2.0528)	Prec@1 38.000 (47.235)	Prec@5 70.500 (77.698)
Epoch: [34][6360/9018]	Time 0.625 (0.626)	Data 0.001 (0.001)	Loss 2.0635 (2.0528)	Prec@1 47.500 (47.234)	Prec@5 75.500 (77.698)
Epoch: [34][6370/9018]	Time 0.757 (0.626)	Data 0.001 (0.001)	Loss 1.8541 (2.0528)	Prec@1 47.500 (47.232)	Prec@5 82.500 (77.698)
Epoch: [34][6380/9018]	Time 0.627 (0.626)	Data 0.001 (0.001)	Loss 2.0412 (2.0528)	Prec@1 43.500 (47.229)	Prec@5 78.500 (77.699)
Epoch: [34][6390/9018]	Time 0.622 (0.626)	Data 0.001 (0.001)	Loss 2.2348 (2.0529)	Prec@1 43.000 (47.227)	Prec@5 73.500 (77.697)
Epoch: [34][6400/9018]	Time 0.622 (0.626)	Data 0.001 (0.001)	Loss 2.1389 (2.0529)	Prec@1 49.000 (47.227)	Prec@5 73.000 (77.696)
Epoch: [34][6410/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 1.9885 (2.0529)	Prec@1 43.000 (47.225)	Prec@5 80.500 (77.698)
Epoch: [34][6420/9018]	Time 0.734 (0.626)	Data 0.001 (0.001)	Loss 2.0470 (2.0530)	Prec@1 50.000 (47.227)	Prec@5 77.500 (77.697)
Epoch: [34][6430/9018]	Time 0.620 (0.626)	Data 0.001 (0.001)	Loss 2.1282 (2.0531)	Prec@1 48.000 (47.224)	Prec@5 79.500 (77.695)
Epoch: [34][6440/9018]	Time 0.623 (0.626)	Data 0.001 (0.001)	Loss 2.0737 (2.0530)	Prec@1 49.500 (47.229)	Prec@5 77.500 (77.698)
Epoch: [34][6450/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 2.0057 (2.0531)	Prec@1 48.000 (47.230)	Prec@5 78.500 (77.697)
Epoch: [34][6460/9018]	Time 0.623 (0.626)	Data 0.001 (0.001)	Loss 2.2203 (2.0531)	Prec@1 49.000 (47.229)	Prec@5 72.000 (77.697)
Epoch: [34][6470/9018]	Time 0.615 (0.626)	Data 0.001 (0.001)	Loss 2.3202 (2.0532)	Prec@1 42.500 (47.229)	Prec@5 77.500 (77.696)
Epoch: [34][6480/9018]	Time 0.630 (0.626)	Data 0.001 (0.001)	Loss 2.0351 (2.0532)	Prec@1 47.000 (47.228)	Prec@5 76.000 (77.695)
Epoch: [34][6490/9018]	Time 0.625 (0.626)	Data 0.001 (0.001)	Loss 2.0809 (2.0532)	Prec@1 47.500 (47.230)	Prec@5 75.500 (77.694)
Epoch: [34][6500/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 2.2089 (2.0533)	Prec@1 40.500 (47.227)	Prec@5 77.500 (77.692)
Epoch: [34][6510/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 1.9764 (2.0532)	Prec@1 47.000 (47.229)	Prec@5 80.500 (77.693)
Epoch: [34][6520/9018]	Time 0.613 (0.626)	Data 0.001 (0.001)	Loss 2.2486 (2.0532)	Prec@1 46.000 (47.229)	Prec@5 74.000 (77.694)
Epoch: [34][6530/9018]	Time 0.629 (0.626)	Data 0.001 (0.001)	Loss 1.7454 (2.0532)	Prec@1 57.000 (47.229)	Prec@5 82.000 (77.694)
Epoch: [34][6540/9018]	Time 0.628 (0.626)	Data 0.001 (0.001)	Loss 1.9900 (2.0533)	Prec@1 47.500 (47.227)	Prec@5 76.000 (77.691)
Epoch: [34][6550/9018]	Time 0.621 (0.626)	Data 0.001 (0.001)	Loss 2.0953 (2.0533)	Prec@1 43.500 (47.225)	Prec@5 76.000 (77.691)
Epoch: [34][6560/9018]	Time 0.629 (0.626)	Data 0.001 (0.001)	Loss 2.1456 (2.0533)	Prec@1 44.500 (47.225)	Prec@5 77.000 (77.693)
Epoch: [34][6570/9018]	Time 0.625 (0.626)	Data 0.001 (0.001)	Loss 2.2413 (2.0533)	Prec@1 42.500 (47.225)	Prec@5 73.000 (77.692)
Epoch: [34][6580/9018]	Time 0.625 (0.626)	Data 0.001 (0.001)	Loss 1.9195 (2.0533)	Prec@1 47.000 (47.224)	Prec@5 84.000 (77.692)
Epoch: [34][6590/9018]	Time 0.619 (0.626)	Data 0.001 (0.001)	Loss 2.1351 (2.0533)	Prec@1 47.000 (47.225)	Prec@5 75.500 (77.692)
Epoch: [34][6600/9018]	Time 0.618 (0.626)	Data 0.001 (0.001)	Loss 2.0060 (2.0533)	Prec@1 43.000 (47.225)	Prec@5 77.500 (77.692)
Epoch: [34][6610/9018]	Time 0.628 (0.626)	Data 0.001 (0.001)	Loss 2.1857 (2.0534)	Prec@1 44.000 (47.224)	Prec@5 77.000 (77.689)
Epoch: [34][6620/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 2.2476 (2.0534)	Prec@1 44.000 (47.222)	Prec@5 74.500 (77.690)
Epoch: [34][6630/9018]	Time 0.622 (0.626)	Data 0.001 (0.001)	Loss 2.0856 (2.0534)	Prec@1 48.000 (47.221)	Prec@5 75.500 (77.689)
Epoch: [34][6640/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 1.9007 (2.0534)	Prec@1 49.000 (47.222)	Prec@5 84.500 (77.689)
Epoch: [34][6650/9018]	Time 0.629 (0.626)	Data 0.001 (0.001)	Loss 2.0071 (2.0535)	Prec@1 45.500 (47.221)	Prec@5 78.000 (77.687)
Epoch: [34][6660/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 2.1593 (2.0535)	Prec@1 45.000 (47.220)	Prec@5 77.000 (77.688)
Epoch: [34][6670/9018]	Time 0.623 (0.626)	Data 0.001 (0.001)	Loss 2.2354 (2.0536)	Prec@1 46.000 (47.217)	Prec@5 74.500 (77.687)
Epoch: [34][6680/9018]	Time 0.627 (0.626)	Data 0.001 (0.001)	Loss 2.0779 (2.0536)	Prec@1 47.500 (47.217)	Prec@5 79.000 (77.688)
Epoch: [34][6690/9018]	Time 0.627 (0.626)	Data 0.001 (0.001)	Loss 2.2000 (2.0536)	Prec@1 45.000 (47.216)	Prec@5 77.000 (77.688)
Epoch: [34][6700/9018]	Time 0.738 (0.626)	Data 0.001 (0.001)	Loss 2.2809 (2.0537)	Prec@1 45.000 (47.214)	Prec@5 74.500 (77.688)
Epoch: [34][6710/9018]	Time 0.622 (0.626)	Data 0.001 (0.001)	Loss 2.0577 (2.0537)	Prec@1 49.000 (47.214)	Prec@5 78.000 (77.688)
Epoch: [34][6720/9018]	Time 0.627 (0.626)	Data 0.001 (0.001)	Loss 2.2325 (2.0537)	Prec@1 50.500 (47.213)	Prec@5 71.500 (77.688)
Epoch: [34][6730/9018]	Time 0.635 (0.626)	Data 0.001 (0.001)	Loss 1.9280 (2.0536)	Prec@1 49.500 (47.214)	Prec@5 80.500 (77.690)
Epoch: [34][6740/9018]	Time 0.622 (0.626)	Data 0.001 (0.001)	Loss 1.8520 (2.0536)	Prec@1 51.000 (47.212)	Prec@5 80.000 (77.691)
Epoch: [34][6750/9018]	Time 0.741 (0.626)	Data 0.001 (0.001)	Loss 2.0270 (2.0537)	Prec@1 46.500 (47.211)	Prec@5 77.000 (77.689)
Epoch: [34][6760/9018]	Time 0.627 (0.626)	Data 0.001 (0.001)	Loss 2.1554 (2.0538)	Prec@1 45.000 (47.210)	Prec@5 77.500 (77.687)
Epoch: [34][6770/9018]	Time 0.621 (0.626)	Data 0.001 (0.001)	Loss 2.2451 (2.0537)	Prec@1 48.500 (47.212)	Prec@5 74.000 (77.689)
Epoch: [34][6780/9018]	Time 0.625 (0.626)	Data 0.001 (0.001)	Loss 2.1097 (2.0537)	Prec@1 47.000 (47.214)	Prec@5 76.000 (77.690)
Epoch: [34][6790/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 2.0958 (2.0537)	Prec@1 45.500 (47.212)	Prec@5 75.500 (77.690)
Epoch: [34][6800/9018]	Time 0.618 (0.626)	Data 0.001 (0.001)	Loss 2.0053 (2.0537)	Prec@1 47.000 (47.211)	Prec@5 77.500 (77.690)
Epoch: [34][6810/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 2.0062 (2.0538)	Prec@1 48.500 (47.207)	Prec@5 76.000 (77.687)
Epoch: [34][6820/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 2.0792 (2.0538)	Prec@1 46.500 (47.206)	Prec@5 78.000 (77.686)
Epoch: [34][6830/9018]	Time 0.623 (0.626)	Data 0.001 (0.001)	Loss 2.0590 (2.0540)	Prec@1 45.000 (47.202)	Prec@5 76.000 (77.683)
Epoch: [34][6840/9018]	Time 0.620 (0.626)	Data 0.001 (0.001)	Loss 2.2396 (2.0541)	Prec@1 40.500 (47.200)	Prec@5 75.000 (77.682)
Epoch: [34][6850/9018]	Time 0.619 (0.626)	Data 0.001 (0.001)	Loss 2.3456 (2.0541)	Prec@1 41.500 (47.200)	Prec@5 72.000 (77.680)
Epoch: [34][6860/9018]	Time 0.622 (0.626)	Data 0.001 (0.001)	Loss 2.0596 (2.0541)	Prec@1 42.000 (47.200)	Prec@5 78.000 (77.681)
Epoch: [34][6870/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 1.8917 (2.0542)	Prec@1 52.000 (47.199)	Prec@5 81.500 (77.679)
Epoch: [34][6880/9018]	Time 0.619 (0.626)	Data 0.001 (0.001)	Loss 2.1487 (2.0541)	Prec@1 45.500 (47.200)	Prec@5 76.000 (77.680)
Epoch: [34][6890/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 2.0185 (2.0541)	Prec@1 48.000 (47.199)	Prec@5 78.500 (77.681)
Epoch: [34][6900/9018]	Time 0.620 (0.626)	Data 0.001 (0.001)	Loss 2.2036 (2.0541)	Prec@1 43.500 (47.198)	Prec@5 75.500 (77.680)
Epoch: [34][6910/9018]	Time 0.631 (0.626)	Data 0.001 (0.001)	Loss 2.1637 (2.0541)	Prec@1 44.000 (47.198)	Prec@5 76.000 (77.682)
Epoch: [34][6920/9018]	Time 0.623 (0.626)	Data 0.001 (0.001)	Loss 2.2842 (2.0542)	Prec@1 40.500 (47.197)	Prec@5 72.500 (77.679)
Epoch: [34][6930/9018]	Time 0.625 (0.626)	Data 0.001 (0.001)	Loss 2.0539 (2.0541)	Prec@1 50.000 (47.198)	Prec@5 73.500 (77.680)
Epoch: [34][6940/9018]	Time 0.623 (0.626)	Data 0.001 (0.001)	Loss 2.1155 (2.0541)	Prec@1 44.500 (47.199)	Prec@5 76.000 (77.678)
Epoch: [34][6950/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 2.2720 (2.0541)	Prec@1 46.500 (47.201)	Prec@5 74.000 (77.679)
Epoch: [34][6960/9018]	Time 0.621 (0.626)	Data 0.001 (0.001)	Loss 2.2909 (2.0541)	Prec@1 39.000 (47.200)	Prec@5 72.500 (77.678)
Epoch: [34][6970/9018]	Time 0.629 (0.626)	Data 0.001 (0.001)	Loss 2.1721 (2.0543)	Prec@1 43.000 (47.197)	Prec@5 76.500 (77.678)
Epoch: [34][6980/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 2.2538 (2.0543)	Prec@1 46.000 (47.197)	Prec@5 74.500 (77.677)
Epoch: [34][6990/9018]	Time 0.627 (0.626)	Data 0.001 (0.001)	Loss 2.1180 (2.0542)	Prec@1 46.000 (47.199)	Prec@5 75.500 (77.679)
Epoch: [34][7000/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 2.1043 (2.0544)	Prec@1 47.000 (47.196)	Prec@5 76.000 (77.677)
Epoch: [34][7010/9018]	Time 0.623 (0.626)	Data 0.001 (0.001)	Loss 1.9498 (2.0544)	Prec@1 50.500 (47.195)	Prec@5 80.500 (77.677)
Epoch: [34][7020/9018]	Time 0.625 (0.626)	Data 0.001 (0.001)	Loss 2.1588 (2.0545)	Prec@1 44.000 (47.191)	Prec@5 74.000 (77.674)
Epoch: [34][7030/9018]	Time 0.733 (0.626)	Data 0.001 (0.001)	Loss 1.9272 (2.0544)	Prec@1 53.000 (47.194)	Prec@5 76.000 (77.677)
Epoch: [34][7040/9018]	Time 0.623 (0.626)	Data 0.001 (0.001)	Loss 1.9840 (2.0544)	Prec@1 47.500 (47.194)	Prec@5 78.500 (77.678)
Epoch: [34][7050/9018]	Time 0.630 (0.626)	Data 0.001 (0.001)	Loss 2.0691 (2.0544)	Prec@1 47.500 (47.193)	Prec@5 75.500 (77.678)
Epoch: [34][7060/9018]	Time 0.625 (0.626)	Data 0.001 (0.001)	Loss 1.9596 (2.0543)	Prec@1 51.500 (47.194)	Prec@5 80.000 (77.680)
Epoch: [34][7070/9018]	Time 0.629 (0.626)	Data 0.001 (0.001)	Loss 2.3160 (2.0543)	Prec@1 37.500 (47.193)	Prec@5 75.500 (77.681)
Epoch: [34][7080/9018]	Time 0.736 (0.626)	Data 0.001 (0.001)	Loss 1.9960 (2.0544)	Prec@1 49.000 (47.192)	Prec@5 77.500 (77.679)
Epoch: [34][7090/9018]	Time 0.628 (0.626)	Data 0.001 (0.001)	Loss 2.1425 (2.0544)	Prec@1 48.500 (47.191)	Prec@5 75.500 (77.679)
Epoch: [34][7100/9018]	Time 0.620 (0.626)	Data 0.001 (0.001)	Loss 1.9333 (2.0544)	Prec@1 52.500 (47.190)	Prec@5 79.500 (77.678)
Epoch: [34][7110/9018]	Time 0.622 (0.626)	Data 0.001 (0.001)	Loss 2.2380 (2.0544)	Prec@1 47.500 (47.193)	Prec@5 73.000 (77.676)
Epoch: [34][7120/9018]	Time 0.620 (0.626)	Data 0.001 (0.001)	Loss 2.2248 (2.0544)	Prec@1 44.000 (47.191)	Prec@5 76.000 (77.676)
Epoch: [34][7130/9018]	Time 0.615 (0.626)	Data 0.001 (0.001)	Loss 1.9140 (2.0545)	Prec@1 50.000 (47.189)	Prec@5 79.500 (77.676)
Epoch: [34][7140/9018]	Time 0.628 (0.626)	Data 0.001 (0.001)	Loss 1.8636 (2.0544)	Prec@1 55.000 (47.192)	Prec@5 84.000 (77.677)
Epoch: [34][7150/9018]	Time 0.625 (0.626)	Data 0.001 (0.001)	Loss 2.0268 (2.0544)	Prec@1 48.000 (47.191)	Prec@5 79.000 (77.677)
Epoch: [34][7160/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 1.8998 (2.0544)	Prec@1 53.000 (47.193)	Prec@5 85.500 (77.678)
Epoch: [34][7170/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 2.1731 (2.0544)	Prec@1 47.500 (47.193)	Prec@5 75.000 (77.677)
Epoch: [34][7180/9018]	Time 0.618 (0.626)	Data 0.001 (0.001)	Loss 2.1132 (2.0543)	Prec@1 47.500 (47.195)	Prec@5 74.500 (77.679)
Epoch: [34][7190/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 1.9371 (2.0542)	Prec@1 52.500 (47.199)	Prec@5 79.500 (77.682)
Epoch: [34][7200/9018]	Time 0.633 (0.626)	Data 0.001 (0.001)	Loss 1.9006 (2.0543)	Prec@1 51.000 (47.199)	Prec@5 79.000 (77.679)
Epoch: [34][7210/9018]	Time 0.633 (0.626)	Data 0.001 (0.001)	Loss 2.0019 (2.0544)	Prec@1 49.000 (47.197)	Prec@5 74.000 (77.676)
Epoch: [34][7220/9018]	Time 0.629 (0.626)	Data 0.001 (0.001)	Loss 1.9224 (2.0543)	Prec@1 51.500 (47.198)	Prec@5 78.000 (77.678)
Epoch: [34][7230/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.0587 (2.0542)	Prec@1 46.000 (47.199)	Prec@5 75.000 (77.678)
Epoch: [34][7240/9018]	Time 0.629 (0.627)	Data 0.001 (0.001)	Loss 2.1506 (2.0543)	Prec@1 43.500 (47.198)	Prec@5 77.000 (77.677)
Epoch: [34][7250/9018]	Time 0.621 (0.627)	Data 0.001 (0.001)	Loss 2.2287 (2.0543)	Prec@1 43.000 (47.198)	Prec@5 73.500 (77.677)
Epoch: [34][7260/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 1.9626 (2.0543)	Prec@1 50.000 (47.200)	Prec@5 78.500 (77.677)
Epoch: [34][7270/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.1810 (2.0543)	Prec@1 47.000 (47.198)	Prec@5 75.500 (77.676)
Epoch: [34][7280/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 1.9794 (2.0542)	Prec@1 49.500 (47.200)	Prec@5 79.500 (77.678)
Epoch: [34][7290/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 2.1814 (2.0543)	Prec@1 43.000 (47.199)	Prec@5 73.000 (77.676)
Epoch: [34][7300/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 2.3321 (2.0543)	Prec@1 41.500 (47.197)	Prec@5 75.500 (77.677)
Epoch: [34][7310/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.2559 (2.0544)	Prec@1 41.000 (47.196)	Prec@5 74.000 (77.676)
Epoch: [34][7320/9018]	Time 0.618 (0.627)	Data 0.001 (0.001)	Loss 2.1446 (2.0545)	Prec@1 48.500 (47.195)	Prec@5 76.500 (77.673)
Epoch: [34][7330/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.1178 (2.0546)	Prec@1 44.000 (47.192)	Prec@5 74.500 (77.671)
Epoch: [34][7340/9018]	Time 0.629 (0.627)	Data 0.001 (0.001)	Loss 1.9548 (2.0546)	Prec@1 47.000 (47.193)	Prec@5 79.500 (77.673)
Epoch: [34][7350/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.2506 (2.0545)	Prec@1 42.000 (47.194)	Prec@5 75.500 (77.675)
Epoch: [34][7360/9018]	Time 0.741 (0.627)	Data 0.001 (0.001)	Loss 2.1502 (2.0546)	Prec@1 42.000 (47.193)	Prec@5 78.500 (77.674)
Epoch: [34][7370/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.1366 (2.0545)	Prec@1 41.500 (47.193)	Prec@5 76.000 (77.675)
Epoch: [34][7380/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 2.2605 (2.0546)	Prec@1 42.500 (47.189)	Prec@5 72.000 (77.673)
Epoch: [34][7390/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 1.8489 (2.0547)	Prec@1 50.000 (47.187)	Prec@5 80.000 (77.672)
Epoch: [34][7400/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 1.9841 (2.0547)	Prec@1 47.000 (47.186)	Prec@5 80.000 (77.671)
Epoch: [34][7410/9018]	Time 0.730 (0.627)	Data 0.001 (0.001)	Loss 2.0202 (2.0547)	Prec@1 55.500 (47.188)	Prec@5 75.500 (77.672)
Epoch: [34][7420/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.0442 (2.0548)	Prec@1 43.000 (47.186)	Prec@5 77.500 (77.671)
Epoch: [34][7430/9018]	Time 0.633 (0.627)	Data 0.001 (0.001)	Loss 1.9832 (2.0548)	Prec@1 45.500 (47.187)	Prec@5 83.000 (77.672)
Epoch: [34][7440/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 1.9518 (2.0549)	Prec@1 51.500 (47.186)	Prec@5 79.000 (77.670)
Epoch: [34][7450/9018]	Time 0.627 (0.627)	Data 0.001 (0.001)	Loss 2.1360 (2.0549)	Prec@1 46.500 (47.188)	Prec@5 78.500 (77.669)
Epoch: [34][7460/9018]	Time 0.614 (0.627)	Data 0.001 (0.001)	Loss 2.1229 (2.0549)	Prec@1 45.500 (47.186)	Prec@5 78.000 (77.668)
Epoch: [34][7470/9018]	Time 0.621 (0.627)	Data 0.001 (0.001)	Loss 1.9762 (2.0550)	Prec@1 50.500 (47.184)	Prec@5 75.500 (77.667)
Epoch: [34][7480/9018]	Time 0.627 (0.627)	Data 0.001 (0.001)	Loss 2.1886 (2.0551)	Prec@1 46.500 (47.184)	Prec@5 76.500 (77.665)
Epoch: [34][7490/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.1842 (2.0552)	Prec@1 44.000 (47.180)	Prec@5 76.000 (77.664)
Epoch: [34][7500/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 2.0637 (2.0552)	Prec@1 50.500 (47.181)	Prec@5 77.000 (77.663)
Epoch: [34][7510/9018]	Time 0.619 (0.627)	Data 0.001 (0.001)	Loss 2.0299 (2.0552)	Prec@1 50.500 (47.180)	Prec@5 77.500 (77.662)
Epoch: [34][7520/9018]	Time 0.631 (0.627)	Data 0.001 (0.001)	Loss 2.2308 (2.0552)	Prec@1 44.500 (47.180)	Prec@5 74.500 (77.663)
Epoch: [34][7530/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 1.9926 (2.0552)	Prec@1 49.500 (47.179)	Prec@5 77.000 (77.662)
Epoch: [34][7540/9018]	Time 0.618 (0.627)	Data 0.001 (0.001)	Loss 2.1975 (2.0552)	Prec@1 44.500 (47.178)	Prec@5 74.000 (77.662)
Epoch: [34][7550/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.0717 (2.0552)	Prec@1 47.500 (47.177)	Prec@5 79.000 (77.662)
Epoch: [34][7560/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 1.8735 (2.0552)	Prec@1 54.000 (47.177)	Prec@5 81.000 (77.662)
Epoch: [34][7570/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.3356 (2.0552)	Prec@1 40.000 (47.178)	Prec@5 69.500 (77.660)
Epoch: [34][7580/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 1.9696 (2.0552)	Prec@1 47.500 (47.178)	Prec@5 79.500 (77.659)
Epoch: [34][7590/9018]	Time 0.621 (0.627)	Data 0.001 (0.001)	Loss 1.9469 (2.0552)	Prec@1 45.000 (47.178)	Prec@5 79.500 (77.658)
Epoch: [34][7600/9018]	Time 0.628 (0.627)	Data 0.001 (0.001)	Loss 2.0346 (2.0552)	Prec@1 46.500 (47.178)	Prec@5 78.000 (77.658)
Epoch: [34][7610/9018]	Time 0.633 (0.627)	Data 0.001 (0.001)	Loss 1.9632 (2.0552)	Prec@1 50.500 (47.179)	Prec@5 76.500 (77.658)
Epoch: [34][7620/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 2.0611 (2.0552)	Prec@1 49.500 (47.180)	Prec@5 77.000 (77.659)
Epoch: [34][7630/9018]	Time 0.628 (0.627)	Data 0.001 (0.001)	Loss 2.2339 (2.0552)	Prec@1 45.500 (47.180)	Prec@5 78.000 (77.660)
Epoch: [34][7640/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.3680 (2.0553)	Prec@1 43.000 (47.177)	Prec@5 70.500 (77.659)
Epoch: [34][7650/9018]	Time 0.621 (0.627)	Data 0.001 (0.001)	Loss 2.1668 (2.0553)	Prec@1 43.000 (47.176)	Prec@5 74.500 (77.659)
Epoch: [34][7660/9018]	Time 0.630 (0.627)	Data 0.001 (0.001)	Loss 2.2021 (2.0554)	Prec@1 41.500 (47.174)	Prec@5 79.000 (77.657)
Epoch: [34][7670/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 2.1466 (2.0555)	Prec@1 46.500 (47.173)	Prec@5 79.500 (77.656)
Epoch: [34][7680/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 2.0812 (2.0554)	Prec@1 46.500 (47.175)	Prec@5 78.500 (77.657)
Epoch: [34][7690/9018]	Time 0.741 (0.627)	Data 0.001 (0.001)	Loss 2.3394 (2.0555)	Prec@1 42.500 (47.173)	Prec@5 72.500 (77.653)
Epoch: [34][7700/9018]	Time 0.630 (0.627)	Data 0.001 (0.001)	Loss 2.0617 (2.0556)	Prec@1 50.000 (47.171)	Prec@5 79.500 (77.651)
Epoch: [34][7710/9018]	Time 0.634 (0.627)	Data 0.001 (0.001)	Loss 1.9186 (2.0556)	Prec@1 47.000 (47.172)	Prec@5 81.000 (77.652)
Epoch: [34][7720/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.1822 (2.0556)	Prec@1 41.000 (47.174)	Prec@5 76.000 (77.652)
Epoch: [34][7730/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 1.9541 (2.0556)	Prec@1 46.500 (47.175)	Prec@5 78.000 (77.650)
Epoch: [34][7740/9018]	Time 0.744 (0.627)	Data 0.001 (0.001)	Loss 2.1204 (2.0556)	Prec@1 44.000 (47.175)	Prec@5 76.000 (77.649)
Epoch: [34][7750/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 2.1878 (2.0557)	Prec@1 42.500 (47.175)	Prec@5 75.000 (77.650)
Epoch: [34][7760/9018]	Time 0.620 (0.627)	Data 0.001 (0.001)	Loss 2.1105 (2.0556)	Prec@1 42.500 (47.174)	Prec@5 78.500 (77.652)
Epoch: [34][7770/9018]	Time 0.627 (0.627)	Data 0.001 (0.001)	Loss 2.0330 (2.0557)	Prec@1 45.500 (47.172)	Prec@5 80.500 (77.651)
Epoch: [34][7780/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.0404 (2.0557)	Prec@1 51.500 (47.176)	Prec@5 75.000 (77.650)
Epoch: [34][7790/9018]	Time 0.613 (0.627)	Data 0.001 (0.001)	Loss 2.0601 (2.0556)	Prec@1 41.500 (47.177)	Prec@5 77.500 (77.651)
Epoch: [34][7800/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 1.8965 (2.0555)	Prec@1 50.500 (47.178)	Prec@5 80.500 (77.653)
Epoch: [34][7810/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.0663 (2.0554)	Prec@1 48.500 (47.180)	Prec@5 77.500 (77.656)
Epoch: [34][7820/9018]	Time 0.615 (0.627)	Data 0.001 (0.001)	Loss 2.1234 (2.0555)	Prec@1 41.500 (47.178)	Prec@5 78.500 (77.656)
Epoch: [34][7830/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 2.3992 (2.0555)	Prec@1 43.000 (47.176)	Prec@5 71.000 (77.656)
Epoch: [34][7840/9018]	Time 0.617 (0.627)	Data 0.001 (0.001)	Loss 2.1345 (2.0556)	Prec@1 40.500 (47.173)	Prec@5 81.500 (77.655)
Epoch: [34][7850/9018]	Time 0.618 (0.627)	Data 0.001 (0.001)	Loss 2.2265 (2.0557)	Prec@1 43.000 (47.171)	Prec@5 73.500 (77.654)
Epoch: [34][7860/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.2471 (2.0557)	Prec@1 42.500 (47.171)	Prec@5 72.000 (77.655)
Epoch: [34][7870/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.2252 (2.0558)	Prec@1 43.500 (47.169)	Prec@5 76.500 (77.652)
Epoch: [34][7880/9018]	Time 0.627 (0.627)	Data 0.001 (0.001)	Loss 1.9333 (2.0558)	Prec@1 54.000 (47.170)	Prec@5 75.500 (77.652)
Epoch: [34][7890/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 1.9872 (2.0558)	Prec@1 50.500 (47.169)	Prec@5 77.000 (77.651)
Epoch: [34][7900/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.0192 (2.0558)	Prec@1 47.000 (47.166)	Prec@5 79.500 (77.651)
Epoch: [34][7910/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.1309 (2.0559)	Prec@1 41.000 (47.165)	Prec@5 80.000 (77.652)
Epoch: [34][7920/9018]	Time 0.629 (0.627)	Data 0.001 (0.001)	Loss 2.1782 (2.0559)	Prec@1 46.500 (47.164)	Prec@5 76.000 (77.651)
Epoch: [34][7930/9018]	Time 0.618 (0.627)	Data 0.001 (0.001)	Loss 1.8538 (2.0559)	Prec@1 53.000 (47.164)	Prec@5 80.500 (77.651)
Epoch: [34][7940/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 1.8975 (2.0559)	Prec@1 54.000 (47.165)	Prec@5 80.000 (77.651)
Epoch: [34][7950/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.1858 (2.0559)	Prec@1 46.500 (47.165)	Prec@5 75.500 (77.653)
Epoch: [34][7960/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 2.3035 (2.0560)	Prec@1 42.500 (47.163)	Prec@5 73.500 (77.652)
Epoch: [34][7970/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.0714 (2.0560)	Prec@1 47.000 (47.164)	Prec@5 77.500 (77.653)
Epoch: [34][7980/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.1506 (2.0561)	Prec@1 45.500 (47.163)	Prec@5 75.000 (77.652)
Epoch: [34][7990/9018]	Time 0.620 (0.627)	Data 0.001 (0.001)	Loss 1.8378 (2.0561)	Prec@1 51.500 (47.161)	Prec@5 80.500 (77.651)
Epoch: [34][8000/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 1.9116 (2.0560)	Prec@1 51.000 (47.163)	Prec@5 80.000 (77.652)
Epoch: [34][8010/9018]	Time 0.621 (0.627)	Data 0.001 (0.001)	Loss 2.0171 (2.0561)	Prec@1 48.000 (47.161)	Prec@5 78.000 (77.650)
Epoch: [34][8020/9018]	Time 0.741 (0.627)	Data 0.001 (0.001)	Loss 2.0109 (2.0561)	Prec@1 48.000 (47.158)	Prec@5 80.500 (77.650)
Epoch: [34][8030/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 2.2493 (2.0561)	Prec@1 47.000 (47.158)	Prec@5 75.000 (77.650)
Epoch: [34][8040/9018]	Time 0.627 (0.627)	Data 0.001 (0.001)	Loss 2.0836 (2.0560)	Prec@1 47.500 (47.160)	Prec@5 75.500 (77.652)
Epoch: [34][8050/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 1.9950 (2.0560)	Prec@1 47.500 (47.160)	Prec@5 82.500 (77.653)
Epoch: [34][8060/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.1579 (2.0561)	Prec@1 43.500 (47.157)	Prec@5 76.500 (77.651)
Epoch: [34][8070/9018]	Time 0.734 (0.627)	Data 0.001 (0.001)	Loss 2.0635 (2.0561)	Prec@1 44.500 (47.156)	Prec@5 78.500 (77.652)
Epoch: [34][8080/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 1.9725 (2.0561)	Prec@1 52.000 (47.156)	Prec@5 79.500 (77.652)
Epoch: [34][8090/9018]	Time 0.621 (0.627)	Data 0.001 (0.001)	Loss 1.9253 (2.0561)	Prec@1 51.000 (47.156)	Prec@5 78.000 (77.652)
Epoch: [34][8100/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 2.3652 (2.0562)	Prec@1 40.500 (47.155)	Prec@5 76.000 (77.650)
Epoch: [34][8110/9018]	Time 0.617 (0.627)	Data 0.001 (0.001)	Loss 1.9261 (2.0562)	Prec@1 49.000 (47.154)	Prec@5 81.000 (77.649)
Epoch: [34][8120/9018]	Time 0.614 (0.627)	Data 0.001 (0.001)	Loss 2.0989 (2.0562)	Prec@1 47.000 (47.155)	Prec@5 77.000 (77.650)
Epoch: [34][8130/9018]	Time 0.613 (0.627)	Data 0.001 (0.001)	Loss 2.0489 (2.0562)	Prec@1 48.000 (47.155)	Prec@5 78.000 (77.649)
Epoch: [34][8140/9018]	Time 0.620 (0.627)	Data 0.001 (0.001)	Loss 1.8625 (2.0562)	Prec@1 49.500 (47.154)	Prec@5 79.500 (77.649)
Epoch: [34][8150/9018]	Time 0.627 (0.627)	Data 0.001 (0.001)	Loss 1.6621 (2.0562)	Prec@1 54.000 (47.155)	Prec@5 85.500 (77.650)
Epoch: [34][8160/9018]	Time 0.621 (0.627)	Data 0.001 (0.001)	Loss 1.9851 (2.0562)	Prec@1 52.000 (47.154)	Prec@5 75.500 (77.649)
Epoch: [34][8170/9018]	Time 0.618 (0.627)	Data 0.001 (0.001)	Loss 2.1503 (2.0562)	Prec@1 44.000 (47.155)	Prec@5 77.500 (77.650)
Epoch: [34][8180/9018]	Time 0.631 (0.627)	Data 0.001 (0.001)	Loss 1.9455 (2.0562)	Prec@1 44.000 (47.154)	Prec@5 78.500 (77.649)
Epoch: [34][8190/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 1.9243 (2.0562)	Prec@1 46.500 (47.154)	Prec@5 82.000 (77.650)
Epoch: [34][8200/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.0770 (2.0561)	Prec@1 51.000 (47.156)	Prec@5 79.000 (77.652)
Epoch: [34][8210/9018]	Time 0.630 (0.627)	Data 0.001 (0.001)	Loss 2.3805 (2.0562)	Prec@1 38.000 (47.152)	Prec@5 72.500 (77.651)
Epoch: [34][8220/9018]	Time 0.627 (0.627)	Data 0.001 (0.001)	Loss 2.0245 (2.0562)	Prec@1 47.500 (47.152)	Prec@5 81.000 (77.650)
Epoch: [34][8230/9018]	Time 0.628 (0.627)	Data 0.001 (0.001)	Loss 2.2114 (2.0562)	Prec@1 42.500 (47.151)	Prec@5 76.000 (77.649)
Epoch: [34][8240/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.0013 (2.0561)	Prec@1 48.500 (47.152)	Prec@5 78.000 (77.650)
Epoch: [34][8250/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.0317 (2.0561)	Prec@1 49.000 (47.154)	Prec@5 77.500 (77.651)
Epoch: [34][8260/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 1.9585 (2.0561)	Prec@1 50.500 (47.154)	Prec@5 79.500 (77.651)
Epoch: [34][8270/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.2940 (2.0562)	Prec@1 41.000 (47.153)	Prec@5 76.000 (77.649)
Epoch: [34][8280/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 2.2442 (2.0563)	Prec@1 44.500 (47.152)	Prec@5 76.000 (77.647)
Epoch: [34][8290/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.2513 (2.0563)	Prec@1 39.000 (47.152)	Prec@5 74.500 (77.647)
Epoch: [34][8300/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.1324 (2.0563)	Prec@1 45.000 (47.152)	Prec@5 77.000 (77.647)
Epoch: [34][8310/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 2.1856 (2.0563)	Prec@1 41.000 (47.149)	Prec@5 74.000 (77.647)
Epoch: [34][8320/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 1.9695 (2.0563)	Prec@1 49.500 (47.149)	Prec@5 81.000 (77.647)
Epoch: [34][8330/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.1734 (2.0562)	Prec@1 44.000 (47.150)	Prec@5 76.000 (77.648)
Epoch: [34][8340/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 1.8600 (2.0563)	Prec@1 53.000 (47.147)	Prec@5 84.500 (77.646)
Epoch: [34][8350/9018]	Time 0.752 (0.627)	Data 0.001 (0.001)	Loss 2.0888 (2.0563)	Prec@1 46.000 (47.145)	Prec@5 77.000 (77.647)
Epoch: [34][8360/9018]	Time 0.618 (0.627)	Data 0.001 (0.001)	Loss 2.1882 (2.0564)	Prec@1 45.000 (47.145)	Prec@5 76.000 (77.646)
Epoch: [34][8370/9018]	Time 0.621 (0.627)	Data 0.001 (0.001)	Loss 2.0671 (2.0564)	Prec@1 46.000 (47.146)	Prec@5 76.500 (77.645)
Epoch: [34][8380/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 1.9248 (2.0564)	Prec@1 52.500 (47.146)	Prec@5 78.500 (77.645)
Epoch: [34][8390/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.0524 (2.0564)	Prec@1 47.500 (47.146)	Prec@5 75.000 (77.644)
Epoch: [34][8400/9018]	Time 0.749 (0.627)	Data 0.001 (0.001)	Loss 2.1148 (2.0564)	Prec@1 51.500 (47.147)	Prec@5 74.500 (77.645)
Epoch: [34][8410/9018]	Time 0.630 (0.627)	Data 0.001 (0.001)	Loss 1.9493 (2.0564)	Prec@1 48.500 (47.147)	Prec@5 77.500 (77.646)
Epoch: [34][8420/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 1.8620 (2.0565)	Prec@1 49.000 (47.145)	Prec@5 81.000 (77.645)
Epoch: [34][8430/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.0428 (2.0565)	Prec@1 51.500 (47.147)	Prec@5 78.500 (77.644)
Epoch: [34][8440/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 1.7759 (2.0565)	Prec@1 55.500 (47.147)	Prec@5 84.000 (77.645)
Epoch: [34][8450/9018]	Time 0.617 (0.627)	Data 0.001 (0.001)	Loss 2.1326 (2.0565)	Prec@1 42.500 (47.145)	Prec@5 79.500 (77.645)
Epoch: [34][8460/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 2.1116 (2.0566)	Prec@1 42.500 (47.143)	Prec@5 78.500 (77.644)
Epoch: [34][8470/9018]	Time 0.637 (0.627)	Data 0.001 (0.001)	Loss 1.9178 (2.0566)	Prec@1 48.000 (47.144)	Prec@5 77.000 (77.643)
Epoch: [34][8480/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.1053 (2.0566)	Prec@1 42.500 (47.144)	Prec@5 75.500 (77.643)
Epoch: [34][8490/9018]	Time 0.628 (0.627)	Data 0.001 (0.001)	Loss 2.0778 (2.0566)	Prec@1 49.500 (47.144)	Prec@5 76.500 (77.642)
Epoch: [34][8500/9018]	Time 0.612 (0.627)	Data 0.001 (0.001)	Loss 1.9799 (2.0566)	Prec@1 51.500 (47.144)	Prec@5 78.500 (77.642)
Epoch: [34][8510/9018]	Time 0.629 (0.627)	Data 0.001 (0.001)	Loss 2.1752 (2.0566)	Prec@1 44.500 (47.145)	Prec@5 77.000 (77.643)
Epoch: [34][8520/9018]	Time 0.631 (0.627)	Data 0.001 (0.001)	Loss 1.8702 (2.0566)	Prec@1 48.000 (47.145)	Prec@5 79.500 (77.642)
Epoch: [34][8530/9018]	Time 0.621 (0.627)	Data 0.001 (0.001)	Loss 2.2533 (2.0566)	Prec@1 45.000 (47.145)	Prec@5 76.500 (77.641)
Epoch: [34][8540/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.1537 (2.0567)	Prec@1 39.000 (47.144)	Prec@5 76.500 (77.640)
Epoch: [34][8550/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 2.0973 (2.0567)	Prec@1 42.500 (47.142)	Prec@5 77.500 (77.639)
Epoch: [34][8560/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.2126 (2.0567)	Prec@1 44.000 (47.143)	Prec@5 74.500 (77.640)
Epoch: [34][8570/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.2033 (2.0567)	Prec@1 45.000 (47.143)	Prec@5 76.500 (77.639)
Epoch: [34][8580/9018]	Time 0.629 (0.627)	Data 0.001 (0.001)	Loss 2.0395 (2.0567)	Prec@1 49.000 (47.143)	Prec@5 78.500 (77.639)
Epoch: [34][8590/9018]	Time 0.631 (0.627)	Data 0.001 (0.001)	Loss 1.8985 (2.0567)	Prec@1 50.000 (47.143)	Prec@5 79.500 (77.639)
Epoch: [34][8600/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.0196 (2.0567)	Prec@1 50.000 (47.144)	Prec@5 78.500 (77.640)
Epoch: [34][8610/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.1323 (2.0567)	Prec@1 51.500 (47.144)	Prec@5 76.500 (77.640)
Epoch: [34][8620/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 1.8237 (2.0567)	Prec@1 53.500 (47.145)	Prec@5 82.000 (77.640)
Epoch: [34][8630/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 1.8000 (2.0567)	Prec@1 53.000 (47.144)	Prec@5 81.000 (77.640)
Epoch: [34][8640/9018]	Time 0.620 (0.627)	Data 0.001 (0.001)	Loss 1.8695 (2.0566)	Prec@1 48.500 (47.146)	Prec@5 77.000 (77.641)
Epoch: [34][8650/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 2.0321 (2.0566)	Prec@1 49.000 (47.146)	Prec@5 75.500 (77.642)
Epoch: [34][8660/9018]	Time 0.627 (0.627)	Data 0.001 (0.001)	Loss 2.0985 (2.0566)	Prec@1 47.500 (47.148)	Prec@5 77.000 (77.640)
Epoch: [34][8670/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.1438 (2.0566)	Prec@1 46.500 (47.148)	Prec@5 74.500 (77.641)
Epoch: [34][8680/9018]	Time 0.741 (0.627)	Data 0.001 (0.001)	Loss 1.9606 (2.0567)	Prec@1 49.500 (47.147)	Prec@5 80.000 (77.638)
Epoch: [34][8690/9018]	Time 0.627 (0.627)	Data 0.001 (0.001)	Loss 2.0065 (2.0566)	Prec@1 45.500 (47.147)	Prec@5 79.000 (77.639)
Epoch: [34][8700/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.0198 (2.0567)	Prec@1 46.500 (47.147)	Prec@5 77.000 (77.638)
Epoch: [34][8710/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.2776 (2.0568)	Prec@1 44.000 (47.146)	Prec@5 72.500 (77.637)
Epoch: [34][8720/9018]	Time 0.619 (0.627)	Data 0.001 (0.001)	Loss 1.9789 (2.0567)	Prec@1 48.000 (47.147)	Prec@5 75.500 (77.637)
Epoch: [34][8730/9018]	Time 0.728 (0.627)	Data 0.001 (0.001)	Loss 2.1602 (2.0568)	Prec@1 46.500 (47.145)	Prec@5 73.000 (77.635)
Epoch: [34][8740/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 2.1231 (2.0568)	Prec@1 45.000 (47.145)	Prec@5 77.500 (77.635)
Epoch: [34][8750/9018]	Time 0.620 (0.627)	Data 0.001 (0.001)	Loss 1.8142 (2.0567)	Prec@1 51.500 (47.148)	Prec@5 82.500 (77.636)
Epoch: [34][8760/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.0434 (2.0567)	Prec@1 47.000 (47.147)	Prec@5 79.500 (77.636)
Epoch: [34][8770/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.1407 (2.0567)	Prec@1 46.000 (47.148)	Prec@5 73.500 (77.637)
Epoch: [34][8780/9018]	Time 0.617 (0.627)	Data 0.001 (0.001)	Loss 1.9964 (2.0567)	Prec@1 46.500 (47.147)	Prec@5 76.000 (77.637)
Epoch: [34][8790/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 1.7738 (2.0566)	Prec@1 54.000 (47.149)	Prec@5 82.500 (77.638)
Epoch: [34][8800/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 1.9993 (2.0566)	Prec@1 48.000 (47.150)	Prec@5 77.500 (77.639)
Epoch: [34][8810/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.0280 (2.0566)	Prec@1 44.000 (47.149)	Prec@5 77.000 (77.638)
Epoch: [34][8820/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.1232 (2.0566)	Prec@1 48.000 (47.149)	Prec@5 77.000 (77.638)
Epoch: [34][8830/9018]	Time 0.627 (0.627)	Data 0.001 (0.001)	Loss 2.2189 (2.0566)	Prec@1 41.500 (47.150)	Prec@5 76.000 (77.640)
Epoch: [34][8840/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 1.9376 (2.0566)	Prec@1 52.000 (47.150)	Prec@5 78.500 (77.639)
Epoch: [34][8850/9018]	Time 0.620 (0.627)	Data 0.001 (0.001)	Loss 2.0349 (2.0567)	Prec@1 46.000 (47.148)	Prec@5 78.000 (77.637)
Epoch: [34][8860/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.0594 (2.0567)	Prec@1 46.000 (47.147)	Prec@5 75.000 (77.637)
Epoch: [34][8870/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.2497 (2.0567)	Prec@1 44.500 (47.147)	Prec@5 73.500 (77.640)
Epoch: [34][8880/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 2.1596 (2.0567)	Prec@1 44.500 (47.148)	Prec@5 75.000 (77.643)
Epoch: [34][8890/9018]	Time 0.622 (0.627)	Data 0.001 (0.001)	Loss 2.1721 (2.0566)	Prec@1 44.500 (47.150)	Prec@5 77.000 (77.643)
Epoch: [34][8900/9018]	Time 0.628 (0.627)	Data 0.001 (0.001)	Loss 2.1830 (2.0568)	Prec@1 47.500 (47.148)	Prec@5 76.000 (77.639)
Epoch: [34][8910/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.1625 (2.0568)	Prec@1 45.500 (47.146)	Prec@5 76.500 (77.639)
Epoch: [34][8920/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 1.9603 (2.0568)	Prec@1 51.000 (47.146)	Prec@5 81.000 (77.640)
Epoch: [34][8930/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.1033 (2.0568)	Prec@1 49.000 (47.147)	Prec@5 76.500 (77.640)
Epoch: [34][8940/9018]	Time 0.626 (0.627)	Data 0.001 (0.001)	Loss 2.1687 (2.0568)	Prec@1 45.000 (47.147)	Prec@5 76.000 (77.640)
Epoch: [34][8950/9018]	Time 0.623 (0.627)	Data 0.001 (0.001)	Loss 2.0854 (2.0567)	Prec@1 45.000 (47.148)	Prec@5 77.000 (77.640)
Epoch: [34][8960/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 2.1931 (2.0568)	Prec@1 40.500 (47.146)	Prec@5 75.000 (77.637)
Epoch: [34][8970/9018]	Time 0.628 (0.627)	Data 0.001 (0.001)	Loss 2.0552 (2.0567)	Prec@1 48.000 (47.148)	Prec@5 79.500 (77.639)
Epoch: [34][8980/9018]	Time 0.618 (0.627)	Data 0.001 (0.001)	Loss 1.9580 (2.0568)	Prec@1 48.000 (47.147)	Prec@5 82.000 (77.638)
Epoch: [34][8990/9018]	Time 0.631 (0.627)	Data 0.001 (0.001)	Loss 1.7647 (2.0567)	Prec@1 56.000 (47.150)	Prec@5 78.500 (77.640)
Epoch: [34][9000/9018]	Time 0.625 (0.627)	Data 0.001 (0.001)	Loss 1.9068 (2.0567)	Prec@1 50.500 (47.150)	Prec@5 84.000 (77.639)
Epoch: [34][9010/9018]	Time 0.724 (0.627)	Data 0.000 (0.001)	Loss 1.8502 (2.0568)	Prec@1 47.000 (47.149)	Prec@5 81.000 (77.639)
Test: [0/183]	Time 1.338 (1.338)	Loss 2.7262 (2.7262)	Prec@1 31.000 (31.000)	Prec@5 67.000 (67.000)
Test: [10/183]	Time 0.194 (0.308)	Loss 1.4032 (1.7351)	Prec@1 67.000 (54.636)	Prec@5 85.500 (83.909)
Test: [20/183]	Time 0.180 (0.251)	Loss 2.0756 (1.7108)	Prec@1 48.500 (54.381)	Prec@5 81.500 (84.571)
Test: [30/183]	Time 0.179 (0.231)	Loss 2.4199 (1.7154)	Prec@1 27.500 (53.565)	Prec@5 73.000 (84.694)
Test: [40/183]	Time 0.181 (0.220)	Loss 2.3877 (1.7321)	Prec@1 30.500 (53.549)	Prec@5 78.000 (83.902)
Test: [50/183]	Time 0.178 (0.215)	Loss 1.4251 (1.7021)	Prec@1 62.500 (54.529)	Prec@5 89.000 (84.216)
Test: [60/183]	Time 0.183 (0.211)	Loss 2.4059 (1.7670)	Prec@1 41.000 (52.730)	Prec@5 72.500 (83.426)
Test: [70/183]	Time 0.184 (0.208)	Loss 1.7406 (1.7466)	Prec@1 50.000 (52.937)	Prec@5 87.500 (83.951)
Test: [80/183]	Time 0.183 (0.206)	Loss 1.3509 (1.7371)	Prec@1 61.500 (52.926)	Prec@5 94.000 (84.006)
Test: [90/183]	Time 0.203 (0.205)	Loss 2.4943 (1.7339)	Prec@1 36.500 (53.005)	Prec@5 73.500 (84.082)
Test: [100/183]	Time 0.193 (0.204)	Loss 0.7193 (1.7348)	Prec@1 79.500 (53.040)	Prec@5 95.000 (84.035)
Test: [110/183]	Time 0.185 (0.203)	Loss 0.7390 (1.7341)	Prec@1 81.000 (53.059)	Prec@5 96.500 (83.959)
Test: [120/183]	Time 0.188 (0.202)	Loss 2.2641 (1.7426)	Prec@1 39.500 (52.740)	Prec@5 69.000 (83.814)
Test: [130/183]	Time 0.196 (0.201)	Loss 3.2491 (1.7555)	Prec@1 14.500 (52.359)	Prec@5 63.000 (83.763)
Test: [140/183]	Time 0.187 (0.200)	Loss 1.3332 (1.7407)	Prec@1 65.000 (52.865)	Prec@5 89.000 (83.957)
Test: [150/183]	Time 0.187 (0.200)	Loss 0.5632 (1.7360)	Prec@1 87.000 (53.086)	Prec@5 98.500 (83.990)
Test: [160/183]	Time 0.191 (0.199)	Loss 1.7591 (1.7303)	Prec@1 52.000 (53.385)	Prec@5 80.500 (84.000)
Test: [170/183]	Time 0.195 (0.199)	Loss 2.6021 (1.7515)	Prec@1 27.000 (52.851)	Prec@5 74.000 (83.705)
Test: [180/183]	Time 0.185 (0.199)	Loss 1.9109 (1.7577)	Prec@1 47.500 (52.743)	Prec@5 84.000 (83.610)
 * Prec@1 52.770 Prec@5 83.611
Epoch: [35][0/9018]	Time 2.756 (2.756)	Data 2.121 (2.121)	Loss 2.1593 (2.1593)	Prec@1 46.000 (46.000)	Prec@5 80.000 (80.000)
Epoch: [35][10/9018]	Time 0.593 (0.808)	Data 0.001 (0.193)	Loss 2.3575 (2.0643)	Prec@1 43.500 (47.045)	Prec@5 72.500 (77.727)
Epoch: [35][20/9018]	Time 0.597 (0.706)	Data 0.001 (0.102)	Loss 1.9360 (2.0615)	Prec@1 54.000 (47.190)	Prec@5 79.500 (77.905)
Epoch: [35][30/9018]	Time 0.587 (0.675)	Data 0.001 (0.069)	Loss 2.1516 (2.0557)	Prec@1 45.000 (47.694)	Prec@5 76.500 (77.645)
Epoch: [35][40/9018]	Time 0.600 (0.659)	Data 0.001 (0.052)	Loss 1.9781 (2.0602)	Prec@1 47.500 (47.622)	Prec@5 79.500 (77.402)
Epoch: [35][50/9018]	Time 0.631 (0.650)	Data 0.001 (0.042)	Loss 2.1727 (2.0488)	Prec@1 48.000 (47.716)	Prec@5 76.000 (77.500)
Epoch: [35][60/9018]	Time 0.600 (0.644)	Data 0.001 (0.036)	Loss 2.0311 (2.0539)	Prec@1 49.500 (47.533)	Prec@5 78.000 (77.492)
Epoch: [35][70/9018]	Time 0.626 (0.641)	Data 0.001 (0.031)	Loss 1.9654 (2.0512)	Prec@1 46.500 (47.570)	Prec@5 79.000 (77.556)
Epoch: [35][80/9018]	Time 0.589 (0.637)	Data 0.001 (0.027)	Loss 2.0466 (2.0431)	Prec@1 46.500 (47.660)	Prec@5 75.500 (77.667)
Epoch: [35][90/9018]	Time 0.752 (0.636)	Data 0.001 (0.024)	Loss 1.7757 (2.0401)	Prec@1 54.500 (47.615)	Prec@5 82.000 (77.824)
Epoch: [35][100/9018]	Time 0.593 (0.632)	Data 0.001 (0.022)	Loss 1.8183 (2.0386)	Prec@1 50.000 (47.589)	Prec@5 83.000 (77.936)
Epoch: [35][110/9018]	Time 0.599 (0.631)	Data 0.001 (0.020)	Loss 1.8416 (2.0400)	Prec@1 50.000 (47.514)	Prec@5 81.000 (77.779)
Epoch: [35][120/9018]	Time 0.634 (0.630)	Data 0.001 (0.018)	Loss 1.9898 (2.0398)	Prec@1 46.500 (47.533)	Prec@5 79.000 (77.781)
Epoch: [35][130/9018]	Time 0.599 (0.628)	Data 0.001 (0.017)	Loss 1.9324 (2.0398)	Prec@1 51.500 (47.584)	Prec@5 74.000 (77.721)
Epoch: [35][140/9018]	Time 0.699 (0.628)	Data 0.001 (0.016)	Loss 2.0440 (2.0400)	Prec@1 47.500 (47.507)	Prec@5 78.000 (77.702)
Epoch: [35][150/9018]	Time 0.632 (0.627)	Data 0.001 (0.015)	Loss 2.2041 (2.0392)	Prec@1 48.500 (47.543)	Prec@5 76.000 (77.735)
Epoch: [35][160/9018]	Time 0.591 (0.626)	Data 0.001 (0.014)	Loss 2.0709 (2.0428)	Prec@1 43.500 (47.484)	Prec@5 75.500 (77.693)
Epoch: [35][170/9018]	Time 0.602 (0.625)	Data 0.001 (0.013)	Loss 1.9875 (2.0450)	Prec@1 45.500 (47.418)	Prec@5 76.000 (77.626)
Epoch: [35][180/9018]	Time 0.600 (0.625)	Data 0.001 (0.012)	Loss 1.8311 (2.0425)	Prec@1 49.000 (47.434)	Prec@5 82.000 (77.657)
Epoch: [35][190/9018]	Time 0.602 (0.625)	Data 0.001 (0.012)	Loss 2.0011 (2.0415)	Prec@1 50.000 (47.435)	Prec@5 77.000 (77.634)
Epoch: [35][200/9018]	Time 0.625 (0.623)	Data 0.001 (0.011)	Loss 2.0401 (2.0412)	Prec@1 45.500 (47.438)	Prec@5 78.500 (77.624)
Epoch: [35][210/9018]	Time 0.597 (0.623)	Data 0.001 (0.011)	Loss 2.1174 (2.0407)	Prec@1 47.000 (47.462)	Prec@5 77.000 (77.685)
Epoch: [35][220/9018]	Time 0.622 (0.623)	Data 0.001 (0.010)	Loss 2.0337 (2.0389)	Prec@1 46.500 (47.502)	Prec@5 76.000 (77.697)
Epoch: [35][230/9018]	Time 0.600 (0.622)	Data 0.001 (0.010)	Loss 2.0081 (2.0375)	Prec@1 51.500 (47.604)	Prec@5 76.000 (77.710)
Epoch: [35][240/9018]	Time 0.603 (0.622)	Data 0.001 (0.010)	Loss 2.1957 (2.0369)	Prec@1 45.000 (47.595)	Prec@5 76.500 (77.724)
Epoch: [35][250/9018]	Time 0.629 (0.622)	Data 0.001 (0.009)	Loss 1.9856 (2.0357)	Prec@1 46.000 (47.572)	Prec@5 80.500 (77.803)
Epoch: [35][260/9018]	Time 0.597 (0.622)	Data 0.001 (0.009)	Loss 1.9829 (2.0356)	Prec@1 49.000 (47.575)	Prec@5 80.500 (77.808)
Epoch: [35][270/9018]	Time 0.616 (0.621)	Data 0.001 (0.009)	Loss 2.0323 (2.0375)	Prec@1 45.000 (47.530)	Prec@5 82.500 (77.815)
Epoch: [35][280/9018]	Time 0.605 (0.621)	Data 0.001 (0.008)	Loss 1.8738 (2.0352)	Prec@1 51.500 (47.560)	Prec@5 79.000 (77.863)
Epoch: [35][290/9018]	Time 0.598 (0.621)	Data 0.001 (0.008)	Loss 1.8874 (2.0359)	Prec@1 50.500 (47.521)	Prec@5 85.500 (77.878)
Epoch: [35][300/9018]	Time 0.620 (0.620)	Data 0.001 (0.008)	Loss 2.1559 (2.0353)	Prec@1 47.500 (47.547)	Prec@5 71.500 (77.862)
Epoch: [35][310/9018]	Time 0.591 (0.620)	Data 0.001 (0.008)	Loss 2.0829 (2.0366)	Prec@1 47.500 (47.492)	Prec@5 77.500 (77.854)
Epoch: [35][320/9018]	Time 0.598 (0.620)	Data 0.001 (0.007)	Loss 2.0719 (2.0368)	Prec@1 47.000 (47.475)	Prec@5 75.000 (77.841)
Epoch: [35][330/9018]	Time 0.606 (0.620)	Data 0.001 (0.007)	Loss 2.1295 (2.0367)	Prec@1 48.500 (47.449)	Prec@5 74.000 (77.852)
Epoch: [35][340/9018]	Time 0.601 (0.620)	Data 0.001 (0.007)	Loss 2.1170 (2.0404)	Prec@1 47.500 (47.397)	Prec@5 75.500 (77.802)
Epoch: [35][350/9018]	Time 0.592 (0.619)	Data 0.001 (0.007)	Loss 2.0435 (2.0403)	Prec@1 46.500 (47.385)	Prec@5 78.500 (77.789)
Epoch: [35][360/9018]	Time 0.607 (0.620)	Data 0.001 (0.007)	Loss 1.9393 (2.0406)	Prec@1 47.000 (47.388)	Prec@5 81.000 (77.805)
Epoch: [35][370/9018]	Time 0.594 (0.619)	Data 0.001 (0.006)	Loss 2.1043 (2.0395)	Prec@1 46.500 (47.445)	Prec@5 77.500 (77.815)
Epoch: [35][380/9018]	Time 0.618 (0.619)	Data 0.001 (0.006)	Loss 1.9652 (2.0399)	Prec@1 49.000 (47.406)	Prec@5 77.000 (77.824)
Epoch: [35][390/9018]	Time 0.611 (0.619)	Data 0.001 (0.006)	Loss 1.9084 (2.0396)	Prec@1 47.000 (47.370)	Prec@5 81.500 (77.812)
Epoch: [35][400/9018]	Time 0.600 (0.619)	Data 0.001 (0.006)	Loss 1.9636 (2.0379)	Prec@1 52.000 (47.429)	Prec@5 79.000 (77.837)
Epoch: [35][410/9018]	Time 0.605 (0.619)	Data 0.001 (0.006)	Loss 1.8698 (2.0374)	Prec@1 53.500 (47.437)	Prec@5 79.500 (77.865)
Epoch: [35][420/9018]	Time 0.720 (0.619)	Data 0.001 (0.006)	Loss 2.1189 (2.0385)	Prec@1 50.000 (47.419)	Prec@5 75.000 (77.836)
Epoch: [35][430/9018]	Time 0.609 (0.619)	Data 0.001 (0.006)	Loss 1.9539 (2.0394)	Prec@1 52.000 (47.420)	Prec@5 77.000 (77.818)
Epoch: [35][440/9018]	Time 0.596 (0.619)	Data 0.001 (0.006)	Loss 1.9409 (2.0402)	Prec@1 49.500 (47.423)	Prec@5 82.000 (77.793)
Epoch: [35][450/9018]	Time 0.634 (0.618)	Data 0.001 (0.005)	Loss 2.3157 (2.0400)	Prec@1 43.000 (47.418)	Prec@5 71.500 (77.810)
Epoch: [35][460/9018]	Time 0.596 (0.618)	Data 0.001 (0.005)	Loss 2.1274 (2.0398)	Prec@1 44.500 (47.438)	Prec@5 76.000 (77.809)
Epoch: [35][470/9018]	Time 0.732 (0.619)	Data 0.001 (0.005)	Loss 1.9392 (2.0405)	Prec@1 49.000 (47.427)	Prec@5 79.500 (77.794)
Epoch: [35][480/9018]	Time 0.636 (0.618)	Data 0.001 (0.005)	Loss 2.0789 (2.0393)	Prec@1 44.500 (47.411)	Prec@5 73.500 (77.806)
Epoch: [35][490/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.2075 (2.0405)	Prec@1 46.000 (47.395)	Prec@5 74.000 (77.789)
Epoch: [35][500/9018]	Time 0.622 (0.618)	Data 0.001 (0.005)	Loss 2.1114 (2.0407)	Prec@1 45.500 (47.380)	Prec@5 75.000 (77.788)
Epoch: [35][510/9018]	Time 0.604 (0.618)	Data 0.001 (0.005)	Loss 1.9829 (2.0402)	Prec@1 50.000 (47.416)	Prec@5 78.000 (77.790)
Epoch: [35][520/9018]	Time 0.623 (0.618)	Data 0.001 (0.005)	Loss 1.9526 (2.0404)	Prec@1 50.000 (47.407)	Prec@5 79.500 (77.798)
Epoch: [35][530/9018]	Time 0.635 (0.618)	Data 0.001 (0.005)	Loss 2.0188 (2.0404)	Prec@1 52.000 (47.408)	Prec@5 74.500 (77.794)
Epoch: [35][540/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.2231 (2.0398)	Prec@1 45.500 (47.425)	Prec@5 79.000 (77.815)
Epoch: [35][550/9018]	Time 0.630 (0.618)	Data 0.001 (0.005)	Loss 1.8651 (2.0395)	Prec@1 52.000 (47.429)	Prec@5 80.500 (77.823)
Epoch: [35][560/9018]	Time 0.604 (0.618)	Data 0.001 (0.005)	Loss 2.0720 (2.0387)	Prec@1 51.000 (47.456)	Prec@5 77.500 (77.832)
Epoch: [35][570/9018]	Time 0.627 (0.618)	Data 0.001 (0.004)	Loss 1.7471 (2.0385)	Prec@1 53.500 (47.468)	Prec@5 83.000 (77.852)
Epoch: [35][580/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 2.0919 (2.0397)	Prec@1 45.500 (47.451)	Prec@5 78.000 (77.841)
Epoch: [35][590/9018]	Time 0.611 (0.618)	Data 0.001 (0.004)	Loss 2.1241 (2.0419)	Prec@1 48.000 (47.398)	Prec@5 71.000 (77.808)
Epoch: [35][600/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.0679 (2.0427)	Prec@1 42.500 (47.384)	Prec@5 82.500 (77.804)
Epoch: [35][610/9018]	Time 0.605 (0.617)	Data 0.001 (0.004)	Loss 2.0056 (2.0420)	Prec@1 51.000 (47.403)	Prec@5 81.000 (77.808)
Epoch: [35][620/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.0113 (2.0418)	Prec@1 49.500 (47.418)	Prec@5 80.500 (77.815)
Epoch: [35][630/9018]	Time 0.628 (0.617)	Data 0.001 (0.004)	Loss 2.0700 (2.0424)	Prec@1 45.500 (47.404)	Prec@5 78.500 (77.802)
Epoch: [35][640/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.1693 (2.0429)	Prec@1 41.000 (47.398)	Prec@5 75.500 (77.809)
Epoch: [35][650/9018]	Time 0.621 (0.617)	Data 0.001 (0.004)	Loss 1.9009 (2.0422)	Prec@1 51.500 (47.417)	Prec@5 76.500 (77.816)
Epoch: [35][660/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 1.8549 (2.0420)	Prec@1 53.000 (47.415)	Prec@5 76.500 (77.827)
Epoch: [35][670/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 1.9637 (2.0420)	Prec@1 49.000 (47.411)	Prec@5 77.500 (77.826)
Epoch: [35][680/9018]	Time 0.610 (0.617)	Data 0.001 (0.004)	Loss 1.9629 (2.0424)	Prec@1 49.000 (47.409)	Prec@5 78.000 (77.816)
Epoch: [35][690/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 2.0091 (2.0431)	Prec@1 46.500 (47.407)	Prec@5 78.500 (77.813)
Epoch: [35][700/9018]	Time 0.629 (0.617)	Data 0.001 (0.004)	Loss 1.9891 (2.0416)	Prec@1 46.500 (47.443)	Prec@5 83.500 (77.868)
Epoch: [35][710/9018]	Time 0.622 (0.617)	Data 0.001 (0.004)	Loss 2.1286 (2.0421)	Prec@1 44.000 (47.436)	Prec@5 75.500 (77.870)
Epoch: [35][720/9018]	Time 0.620 (0.617)	Data 0.001 (0.004)	Loss 2.2449 (2.0423)	Prec@1 46.500 (47.445)	Prec@5 71.500 (77.862)
Epoch: [35][730/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 1.8040 (2.0424)	Prec@1 51.000 (47.437)	Prec@5 81.500 (77.858)
Epoch: [35][740/9018]	Time 0.594 (0.617)	Data 0.001 (0.004)	Loss 1.6852 (2.0417)	Prec@1 56.000 (47.443)	Prec@5 82.500 (77.870)
Epoch: [35][750/9018]	Time 0.744 (0.617)	Data 0.001 (0.004)	Loss 1.9158 (2.0412)	Prec@1 52.500 (47.445)	Prec@5 79.000 (77.875)
Epoch: [35][760/9018]	Time 0.592 (0.617)	Data 0.001 (0.004)	Loss 1.9276 (2.0411)	Prec@1 51.500 (47.450)	Prec@5 79.500 (77.873)
Epoch: [35][770/9018]	Time 0.605 (0.617)	Data 0.001 (0.004)	Loss 2.0849 (2.0406)	Prec@1 45.000 (47.455)	Prec@5 79.000 (77.892)
Epoch: [35][780/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.0869 (2.0404)	Prec@1 40.500 (47.452)	Prec@5 77.500 (77.900)
Epoch: [35][790/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 2.1192 (2.0403)	Prec@1 41.000 (47.453)	Prec@5 78.000 (77.903)
Epoch: [35][800/9018]	Time 0.727 (0.617)	Data 0.001 (0.003)	Loss 2.1435 (2.0410)	Prec@1 49.000 (47.448)	Prec@5 76.000 (77.894)
Epoch: [35][810/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.0112 (2.0404)	Prec@1 49.000 (47.461)	Prec@5 78.000 (77.908)
Epoch: [35][820/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.9900 (2.0403)	Prec@1 48.000 (47.483)	Prec@5 79.000 (77.909)
Epoch: [35][830/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.1754 (2.0401)	Prec@1 47.500 (47.481)	Prec@5 73.500 (77.912)
Epoch: [35][840/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 1.9491 (2.0413)	Prec@1 49.500 (47.458)	Prec@5 81.500 (77.894)
Epoch: [35][850/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 2.2833 (2.0411)	Prec@1 44.500 (47.464)	Prec@5 76.500 (77.897)
Epoch: [35][860/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.0687 (2.0410)	Prec@1 44.000 (47.454)	Prec@5 76.000 (77.903)
Epoch: [35][870/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.8521 (2.0418)	Prec@1 52.500 (47.449)	Prec@5 80.500 (77.883)
Epoch: [35][880/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 1.9953 (2.0421)	Prec@1 48.500 (47.448)	Prec@5 78.500 (77.883)
Epoch: [35][890/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.9077 (2.0418)	Prec@1 49.500 (47.447)	Prec@5 78.000 (77.879)
Epoch: [35][900/9018]	Time 0.636 (0.617)	Data 0.001 (0.003)	Loss 1.7802 (2.0419)	Prec@1 53.500 (47.441)	Prec@5 83.500 (77.883)
Epoch: [35][910/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.0265 (2.0419)	Prec@1 47.500 (47.442)	Prec@5 78.500 (77.880)
Epoch: [35][920/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.9273 (2.0425)	Prec@1 50.000 (47.432)	Prec@5 79.500 (77.870)
Epoch: [35][930/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 2.2030 (2.0422)	Prec@1 40.500 (47.427)	Prec@5 78.000 (77.874)
Epoch: [35][940/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.0231 (2.0416)	Prec@1 44.000 (47.435)	Prec@5 77.500 (77.886)
Epoch: [35][950/9018]	Time 0.632 (0.616)	Data 0.001 (0.003)	Loss 1.7996 (2.0415)	Prec@1 51.500 (47.446)	Prec@5 85.000 (77.884)
Epoch: [35][960/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.0760 (2.0409)	Prec@1 48.000 (47.454)	Prec@5 77.500 (77.894)
Epoch: [35][970/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.9727 (2.0408)	Prec@1 46.000 (47.462)	Prec@5 80.000 (77.895)
Epoch: [35][980/9018]	Time 0.625 (0.616)	Data 0.001 (0.003)	Loss 2.2676 (2.0414)	Prec@1 42.500 (47.453)	Prec@5 77.000 (77.892)
Epoch: [35][990/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.0660 (2.0416)	Prec@1 51.500 (47.451)	Prec@5 77.000 (77.888)
Epoch: [35][1000/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.1423 (2.0416)	Prec@1 43.000 (47.453)	Prec@5 76.000 (77.884)
Epoch: [35][1010/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.0819 (2.0413)	Prec@1 44.500 (47.456)	Prec@5 78.000 (77.887)
Epoch: [35][1020/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.1793 (2.0412)	Prec@1 44.000 (47.456)	Prec@5 75.000 (77.883)
Epoch: [35][1030/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.9304 (2.0409)	Prec@1 51.000 (47.465)	Prec@5 80.000 (77.885)
Epoch: [35][1040/9018]	Time 0.630 (0.616)	Data 0.001 (0.003)	Loss 1.8416 (2.0409)	Prec@1 52.500 (47.467)	Prec@5 83.500 (77.883)
Epoch: [35][1050/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.1621 (2.0412)	Prec@1 46.500 (47.463)	Prec@5 77.000 (77.877)
Epoch: [35][1060/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 2.0547 (2.0417)	Prec@1 47.000 (47.454)	Prec@5 74.000 (77.856)
Epoch: [35][1070/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.8835 (2.0411)	Prec@1 50.000 (47.472)	Prec@5 81.500 (77.865)
Epoch: [35][1080/9018]	Time 0.740 (0.616)	Data 0.001 (0.003)	Loss 1.7378 (2.0407)	Prec@1 52.500 (47.484)	Prec@5 83.000 (77.867)
Epoch: [35][1090/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.9962 (2.0410)	Prec@1 45.000 (47.470)	Prec@5 79.500 (77.860)
Epoch: [35][1100/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.0307 (2.0407)	Prec@1 47.000 (47.494)	Prec@5 77.000 (77.857)
Epoch: [35][1110/9018]	Time 0.628 (0.616)	Data 0.001 (0.003)	Loss 1.9797 (2.0413)	Prec@1 46.500 (47.485)	Prec@5 75.000 (77.841)
Epoch: [35][1120/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.0363 (2.0410)	Prec@1 47.500 (47.490)	Prec@5 76.500 (77.838)
Epoch: [35][1130/9018]	Time 0.722 (0.616)	Data 0.001 (0.003)	Loss 1.9124 (2.0415)	Prec@1 52.000 (47.471)	Prec@5 80.000 (77.839)
Epoch: [35][1140/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 2.0957 (2.0416)	Prec@1 45.500 (47.469)	Prec@5 77.000 (77.840)
Epoch: [35][1150/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.9162 (2.0413)	Prec@1 52.500 (47.487)	Prec@5 78.500 (77.839)
Epoch: [35][1160/9018]	Time 0.614 (0.616)	Data 0.001 (0.003)	Loss 2.1033 (2.0414)	Prec@1 46.000 (47.484)	Prec@5 75.500 (77.835)
Epoch: [35][1170/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 2.2021 (2.0418)	Prec@1 46.000 (47.481)	Prec@5 72.500 (77.829)
Epoch: [35][1180/9018]	Time 0.636 (0.616)	Data 0.001 (0.003)	Loss 2.0266 (2.0421)	Prec@1 46.000 (47.481)	Prec@5 78.000 (77.821)
Epoch: [35][1190/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.2147 (2.0421)	Prec@1 41.000 (47.491)	Prec@5 75.000 (77.817)
Epoch: [35][1200/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 2.0046 (2.0416)	Prec@1 47.500 (47.502)	Prec@5 77.500 (77.823)
Epoch: [35][1210/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.0744 (2.0416)	Prec@1 44.500 (47.504)	Prec@5 78.500 (77.825)
Epoch: [35][1220/9018]	Time 0.630 (0.616)	Data 0.001 (0.003)	Loss 2.0176 (2.0409)	Prec@1 48.000 (47.512)	Prec@5 77.000 (77.840)
Epoch: [35][1230/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0560 (2.0415)	Prec@1 43.000 (47.487)	Prec@5 76.500 (77.823)
Epoch: [35][1240/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.0224 (2.0419)	Prec@1 42.500 (47.466)	Prec@5 77.500 (77.824)
Epoch: [35][1250/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.0645 (2.0417)	Prec@1 52.000 (47.477)	Prec@5 78.500 (77.826)
Epoch: [35][1260/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.9134 (2.0416)	Prec@1 50.500 (47.481)	Prec@5 82.000 (77.828)
Epoch: [35][1270/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 1.9024 (2.0421)	Prec@1 52.500 (47.485)	Prec@5 79.000 (77.820)
Epoch: [35][1280/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.8960 (2.0426)	Prec@1 52.500 (47.471)	Prec@5 84.000 (77.815)
Epoch: [35][1290/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.0247 (2.0430)	Prec@1 50.500 (47.460)	Prec@5 75.000 (77.803)
Epoch: [35][1300/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1466 (2.0428)	Prec@1 48.500 (47.455)	Prec@5 75.000 (77.812)
Epoch: [35][1310/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.0286 (2.0423)	Prec@1 50.500 (47.463)	Prec@5 81.500 (77.821)
Epoch: [35][1320/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.0744 (2.0419)	Prec@1 45.500 (47.471)	Prec@5 76.000 (77.820)
Epoch: [35][1330/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0647 (2.0422)	Prec@1 43.000 (47.454)	Prec@5 79.000 (77.817)
Epoch: [35][1340/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.1950 (2.0425)	Prec@1 44.000 (47.455)	Prec@5 75.500 (77.817)
Epoch: [35][1350/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.9956 (2.0429)	Prec@1 46.000 (47.443)	Prec@5 78.500 (77.816)
Epoch: [35][1360/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.1022 (2.0430)	Prec@1 46.000 (47.440)	Prec@5 78.000 (77.811)
Epoch: [35][1370/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.8118 (2.0424)	Prec@1 52.500 (47.452)	Prec@5 82.000 (77.815)
Epoch: [35][1380/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.1835 (2.0422)	Prec@1 45.000 (47.459)	Prec@5 79.500 (77.814)
Epoch: [35][1390/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.0386 (2.0423)	Prec@1 48.500 (47.459)	Prec@5 74.500 (77.805)
Epoch: [35][1400/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.0563 (2.0425)	Prec@1 47.000 (47.460)	Prec@5 79.500 (77.796)
Epoch: [35][1410/9018]	Time 0.756 (0.616)	Data 0.001 (0.002)	Loss 1.7161 (2.0428)	Prec@1 50.500 (47.447)	Prec@5 83.500 (77.787)
Epoch: [35][1420/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1281 (2.0428)	Prec@1 42.500 (47.444)	Prec@5 79.000 (77.791)
Epoch: [35][1430/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9387 (2.0427)	Prec@1 51.000 (47.457)	Prec@5 79.500 (77.797)
Epoch: [35][1440/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 1.8324 (2.0423)	Prec@1 53.500 (47.463)	Prec@5 81.000 (77.807)
Epoch: [35][1450/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0709 (2.0422)	Prec@1 49.000 (47.467)	Prec@5 75.000 (77.812)
Epoch: [35][1460/9018]	Time 0.720 (0.616)	Data 0.001 (0.002)	Loss 2.0448 (2.0421)	Prec@1 47.500 (47.469)	Prec@5 80.500 (77.816)
Epoch: [35][1470/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.2022 (2.0418)	Prec@1 42.500 (47.472)	Prec@5 77.000 (77.825)
Epoch: [35][1480/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.1317 (2.0418)	Prec@1 52.500 (47.478)	Prec@5 74.500 (77.828)
Epoch: [35][1490/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.2131 (2.0420)	Prec@1 48.500 (47.482)	Prec@5 77.000 (77.826)
Epoch: [35][1500/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0596 (2.0419)	Prec@1 48.500 (47.481)	Prec@5 78.000 (77.832)
Epoch: [35][1510/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.8529 (2.0421)	Prec@1 50.000 (47.480)	Prec@5 80.000 (77.828)
Epoch: [35][1520/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.0446 (2.0421)	Prec@1 51.500 (47.488)	Prec@5 77.500 (77.826)
Epoch: [35][1530/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0329 (2.0423)	Prec@1 41.500 (47.483)	Prec@5 80.500 (77.828)
Epoch: [35][1540/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.7380 (2.0423)	Prec@1 52.000 (47.482)	Prec@5 84.500 (77.832)
Epoch: [35][1550/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.3055 (2.0423)	Prec@1 44.500 (47.484)	Prec@5 75.500 (77.837)
Epoch: [35][1560/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.4514 (2.0424)	Prec@1 40.000 (47.483)	Prec@5 72.000 (77.833)
Epoch: [35][1570/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.1234 (2.0423)	Prec@1 47.000 (47.488)	Prec@5 76.500 (77.837)
Epoch: [35][1580/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9405 (2.0424)	Prec@1 53.500 (47.496)	Prec@5 79.000 (77.833)
Epoch: [35][1590/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 1.9913 (2.0421)	Prec@1 50.500 (47.497)	Prec@5 76.500 (77.834)
Epoch: [35][1600/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1456 (2.0424)	Prec@1 46.000 (47.494)	Prec@5 76.500 (77.829)
Epoch: [35][1610/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1606 (2.0419)	Prec@1 43.000 (47.497)	Prec@5 75.500 (77.837)
Epoch: [35][1620/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 1.9417 (2.0416)	Prec@1 47.500 (47.503)	Prec@5 79.000 (77.842)
Epoch: [35][1630/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0258 (2.0414)	Prec@1 46.500 (47.511)	Prec@5 80.500 (77.845)
Epoch: [35][1640/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 1.8676 (2.0409)	Prec@1 51.500 (47.516)	Prec@5 79.000 (77.853)
Epoch: [35][1650/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0238 (2.0405)	Prec@1 48.500 (47.525)	Prec@5 78.000 (77.864)
Epoch: [35][1660/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9262 (2.0403)	Prec@1 45.500 (47.526)	Prec@5 79.500 (77.869)
Epoch: [35][1670/9018]	Time 0.638 (0.616)	Data 0.001 (0.002)	Loss 2.2773 (2.0404)	Prec@1 43.500 (47.522)	Prec@5 72.500 (77.872)
Epoch: [35][1680/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9602 (2.0405)	Prec@1 45.500 (47.510)	Prec@5 78.000 (77.870)
Epoch: [35][1690/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0581 (2.0405)	Prec@1 48.000 (47.506)	Prec@5 76.500 (77.868)
Epoch: [35][1700/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.9703 (2.0402)	Prec@1 52.500 (47.519)	Prec@5 78.500 (77.876)
Epoch: [35][1710/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.2293 (2.0402)	Prec@1 46.000 (47.522)	Prec@5 74.000 (77.877)
Epoch: [35][1720/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.7642 (2.0398)	Prec@1 53.500 (47.527)	Prec@5 83.000 (77.888)
Epoch: [35][1730/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9427 (2.0402)	Prec@1 54.000 (47.518)	Prec@5 79.500 (77.890)
Epoch: [35][1740/9018]	Time 0.722 (0.616)	Data 0.001 (0.002)	Loss 2.1344 (2.0404)	Prec@1 44.500 (47.515)	Prec@5 76.500 (77.887)
Epoch: [35][1750/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 1.9465 (2.0405)	Prec@1 45.500 (47.512)	Prec@5 81.000 (77.884)
Epoch: [35][1760/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.1200 (2.0408)	Prec@1 46.500 (47.512)	Prec@5 79.000 (77.876)
Epoch: [35][1770/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.1701 (2.0410)	Prec@1 47.000 (47.508)	Prec@5 74.000 (77.870)
Epoch: [35][1780/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0151 (2.0407)	Prec@1 49.000 (47.514)	Prec@5 80.500 (77.873)
Epoch: [35][1790/9018]	Time 0.722 (0.615)	Data 0.001 (0.002)	Loss 2.1694 (2.0411)	Prec@1 45.000 (47.507)	Prec@5 75.500 (77.871)
Epoch: [35][1800/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 1.9052 (2.0411)	Prec@1 54.000 (47.512)	Prec@5 80.000 (77.864)
Epoch: [35][1810/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 1.8882 (2.0409)	Prec@1 54.000 (47.527)	Prec@5 77.500 (77.864)
Epoch: [35][1820/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.0887 (2.0411)	Prec@1 48.000 (47.523)	Prec@5 73.000 (77.856)
Epoch: [35][1830/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.0480 (2.0408)	Prec@1 51.000 (47.530)	Prec@5 78.500 (77.861)
Epoch: [35][1840/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.0490 (2.0409)	Prec@1 43.500 (47.518)	Prec@5 81.500 (77.866)
Epoch: [35][1850/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 1.9981 (2.0410)	Prec@1 50.000 (47.519)	Prec@5 75.500 (77.868)
Epoch: [35][1860/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.9609 (2.0407)	Prec@1 45.500 (47.517)	Prec@5 80.500 (77.874)
Epoch: [35][1870/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.0271 (2.0411)	Prec@1 45.500 (47.507)	Prec@5 79.500 (77.873)
Epoch: [35][1880/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.0263 (2.0413)	Prec@1 50.000 (47.510)	Prec@5 76.500 (77.868)
Epoch: [35][1890/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9276 (2.0411)	Prec@1 46.500 (47.511)	Prec@5 79.000 (77.872)
Epoch: [35][1900/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.9320 (2.0412)	Prec@1 50.000 (47.506)	Prec@5 79.000 (77.872)
Epoch: [35][1910/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.0537 (2.0411)	Prec@1 40.000 (47.505)	Prec@5 80.500 (77.874)
Epoch: [35][1920/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.0306 (2.0413)	Prec@1 52.000 (47.502)	Prec@5 76.500 (77.871)
Epoch: [35][1930/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.1787 (2.0414)	Prec@1 42.000 (47.482)	Prec@5 74.000 (77.873)
Epoch: [35][1940/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0580 (2.0412)	Prec@1 47.500 (47.481)	Prec@5 77.500 (77.882)
Epoch: [35][1950/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9172 (2.0411)	Prec@1 47.000 (47.476)	Prec@5 80.500 (77.884)
Epoch: [35][1960/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9966 (2.0410)	Prec@1 50.000 (47.486)	Prec@5 79.000 (77.886)
Epoch: [35][1970/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.0724 (2.0409)	Prec@1 46.000 (47.484)	Prec@5 76.500 (77.887)
Epoch: [35][1980/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 1.9786 (2.0408)	Prec@1 51.000 (47.492)	Prec@5 76.000 (77.887)
Epoch: [35][1990/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.2576 (2.0412)	Prec@1 44.500 (47.486)	Prec@5 74.000 (77.879)
Epoch: [35][2000/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.1710 (2.0411)	Prec@1 45.500 (47.491)	Prec@5 74.500 (77.881)
Epoch: [35][2010/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0451 (2.0414)	Prec@1 44.500 (47.484)	Prec@5 78.000 (77.876)
Epoch: [35][2020/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 2.0157 (2.0411)	Prec@1 47.500 (47.490)	Prec@5 81.500 (77.881)
Epoch: [35][2030/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.1255 (2.0411)	Prec@1 49.500 (47.495)	Prec@5 73.500 (77.880)
Epoch: [35][2040/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.1050 (2.0411)	Prec@1 43.000 (47.494)	Prec@5 80.000 (77.879)
Epoch: [35][2050/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.9391 (2.0414)	Prec@1 47.000 (47.486)	Prec@5 80.000 (77.877)
Epoch: [35][2060/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.2675 (2.0413)	Prec@1 45.000 (47.490)	Prec@5 73.000 (77.875)
Epoch: [35][2070/9018]	Time 0.723 (0.615)	Data 0.001 (0.002)	Loss 1.8393 (2.0412)	Prec@1 52.000 (47.496)	Prec@5 81.000 (77.875)
Epoch: [35][2080/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 1.9486 (2.0414)	Prec@1 49.000 (47.493)	Prec@5 80.000 (77.872)
Epoch: [35][2090/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.1637 (2.0413)	Prec@1 45.000 (47.493)	Prec@5 77.000 (77.873)
Epoch: [35][2100/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.9290 (2.0411)	Prec@1 49.500 (47.496)	Prec@5 82.000 (77.885)
Epoch: [35][2110/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0466 (2.0413)	Prec@1 45.500 (47.486)	Prec@5 76.500 (77.887)
Epoch: [35][2120/9018]	Time 0.744 (0.615)	Data 0.001 (0.002)	Loss 2.1297 (2.0412)	Prec@1 44.500 (47.487)	Prec@5 78.500 (77.889)
Epoch: [35][2130/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.0294 (2.0414)	Prec@1 47.000 (47.478)	Prec@5 75.500 (77.888)
Epoch: [35][2140/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.2748 (2.0415)	Prec@1 45.000 (47.475)	Prec@5 74.500 (77.889)
Epoch: [35][2150/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.0077 (2.0414)	Prec@1 45.000 (47.478)	Prec@5 79.500 (77.893)
Epoch: [35][2160/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.0694 (2.0412)	Prec@1 50.000 (47.486)	Prec@5 79.000 (77.898)
Epoch: [35][2170/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 1.8789 (2.0412)	Prec@1 50.000 (47.486)	Prec@5 84.000 (77.901)
Epoch: [35][2180/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0029 (2.0411)	Prec@1 48.000 (47.485)	Prec@5 82.000 (77.906)
Epoch: [35][2190/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0240 (2.0411)	Prec@1 48.500 (47.481)	Prec@5 77.000 (77.904)
Epoch: [35][2200/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.0968 (2.0413)	Prec@1 46.000 (47.478)	Prec@5 76.000 (77.901)
Epoch: [35][2210/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.8620 (2.0412)	Prec@1 47.000 (47.475)	Prec@5 82.500 (77.902)
Epoch: [35][2220/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.7652 (2.0414)	Prec@1 57.500 (47.473)	Prec@5 81.000 (77.900)
Epoch: [35][2230/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 1.9127 (2.0413)	Prec@1 52.000 (47.474)	Prec@5 79.500 (77.905)
Epoch: [35][2240/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.9760 (2.0412)	Prec@1 47.500 (47.479)	Prec@5 80.500 (77.906)
Epoch: [35][2250/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 1.8702 (2.0409)	Prec@1 48.000 (47.478)	Prec@5 83.500 (77.913)
Epoch: [35][2260/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.9270 (2.0410)	Prec@1 48.500 (47.475)	Prec@5 77.000 (77.913)
Epoch: [35][2270/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.8836 (2.0406)	Prec@1 49.500 (47.481)	Prec@5 79.500 (77.917)
Epoch: [35][2280/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.0801 (2.0409)	Prec@1 43.500 (47.475)	Prec@5 80.500 (77.914)
Epoch: [35][2290/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.8775 (2.0410)	Prec@1 52.500 (47.470)	Prec@5 78.500 (77.909)
Epoch: [35][2300/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.9231 (2.0411)	Prec@1 48.500 (47.466)	Prec@5 81.500 (77.902)
Epoch: [35][2310/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.0985 (2.0409)	Prec@1 44.500 (47.473)	Prec@5 80.500 (77.910)
Epoch: [35][2320/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.1470 (2.0409)	Prec@1 41.000 (47.475)	Prec@5 79.500 (77.910)
Epoch: [35][2330/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.0270 (2.0410)	Prec@1 48.000 (47.469)	Prec@5 76.500 (77.906)
Epoch: [35][2340/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.9967 (2.0410)	Prec@1 49.000 (47.467)	Prec@5 75.000 (77.908)
Epoch: [35][2350/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 2.0285 (2.0412)	Prec@1 47.500 (47.464)	Prec@5 80.000 (77.903)
Epoch: [35][2360/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.1447 (2.0414)	Prec@1 46.000 (47.463)	Prec@5 79.000 (77.901)
Epoch: [35][2370/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.3071 (2.0414)	Prec@1 43.000 (47.465)	Prec@5 76.000 (77.903)
Epoch: [35][2380/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.1028 (2.0414)	Prec@1 49.000 (47.468)	Prec@5 80.000 (77.907)
Epoch: [35][2390/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.9851 (2.0414)	Prec@1 47.500 (47.465)	Prec@5 80.000 (77.901)
Epoch: [35][2400/9018]	Time 0.726 (0.615)	Data 0.001 (0.002)	Loss 1.9613 (2.0416)	Prec@1 48.500 (47.463)	Prec@5 78.500 (77.899)
Epoch: [35][2410/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.9989 (2.0418)	Prec@1 50.000 (47.455)	Prec@5 79.500 (77.897)
Epoch: [35][2420/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.9792 (2.0417)	Prec@1 48.500 (47.458)	Prec@5 78.000 (77.897)
Epoch: [35][2430/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 1.9561 (2.0417)	Prec@1 45.500 (47.455)	Prec@5 80.000 (77.902)
Epoch: [35][2440/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.1269 (2.0416)	Prec@1 45.500 (47.452)	Prec@5 76.000 (77.903)
Epoch: [35][2450/9018]	Time 0.713 (0.615)	Data 0.001 (0.002)	Loss 1.9521 (2.0416)	Prec@1 51.000 (47.451)	Prec@5 81.500 (77.901)
Epoch: [35][2460/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 1.9272 (2.0419)	Prec@1 50.000 (47.440)	Prec@5 79.000 (77.897)
Epoch: [35][2470/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.0108 (2.0422)	Prec@1 47.000 (47.437)	Prec@5 76.000 (77.890)
Epoch: [35][2480/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 1.9555 (2.0424)	Prec@1 47.500 (47.429)	Prec@5 79.000 (77.886)
Epoch: [35][2490/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.2052 (2.0425)	Prec@1 42.000 (47.433)	Prec@5 75.500 (77.885)
Epoch: [35][2500/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.1213 (2.0422)	Prec@1 47.000 (47.434)	Prec@5 75.000 (77.891)
Epoch: [35][2510/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 1.8489 (2.0423)	Prec@1 48.500 (47.433)	Prec@5 81.500 (77.893)
Epoch: [35][2520/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.9905 (2.0423)	Prec@1 49.500 (47.430)	Prec@5 81.000 (77.893)
Epoch: [35][2530/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.0985 (2.0424)	Prec@1 47.500 (47.427)	Prec@5 75.000 (77.892)
Epoch: [35][2540/9018]	Time 0.588 (0.615)	Data 0.001 (0.002)	Loss 2.1808 (2.0428)	Prec@1 46.000 (47.425)	Prec@5 73.000 (77.884)
Epoch: [35][2550/9018]	Time 0.595 (0.615)	Data 0.003 (0.002)	Loss 2.0794 (2.0427)	Prec@1 44.000 (47.428)	Prec@5 76.000 (77.887)
Epoch: [35][2560/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 1.9883 (2.0428)	Prec@1 45.500 (47.427)	Prec@5 78.000 (77.884)
Epoch: [35][2570/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.9507 (2.0428)	Prec@1 50.000 (47.424)	Prec@5 77.500 (77.886)
Epoch: [35][2580/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 1.9576 (2.0427)	Prec@1 54.000 (47.426)	Prec@5 78.500 (77.887)
Epoch: [35][2590/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.9432 (2.0428)	Prec@1 47.000 (47.418)	Prec@5 77.500 (77.885)
Epoch: [35][2600/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 1.9006 (2.0426)	Prec@1 49.000 (47.423)	Prec@5 81.500 (77.890)
Epoch: [35][2610/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.0780 (2.0424)	Prec@1 47.500 (47.429)	Prec@5 78.000 (77.891)
Epoch: [35][2620/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0762 (2.0426)	Prec@1 43.000 (47.423)	Prec@5 77.000 (77.887)
Epoch: [35][2630/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.0747 (2.0427)	Prec@1 43.500 (47.418)	Prec@5 80.500 (77.887)
Epoch: [35][2640/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.0018 (2.0426)	Prec@1 50.000 (47.422)	Prec@5 79.500 (77.888)
Epoch: [35][2650/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.0052 (2.0427)	Prec@1 44.500 (47.420)	Prec@5 78.000 (77.887)
Epoch: [35][2660/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.0023 (2.0426)	Prec@1 46.000 (47.421)	Prec@5 76.000 (77.890)
Epoch: [35][2670/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.2698 (2.0427)	Prec@1 43.000 (47.413)	Prec@5 74.500 (77.889)
Epoch: [35][2680/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 1.9891 (2.0427)	Prec@1 48.000 (47.410)	Prec@5 79.000 (77.889)
Epoch: [35][2690/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 1.8494 (2.0425)	Prec@1 48.500 (47.414)	Prec@5 80.000 (77.892)
Epoch: [35][2700/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.1051 (2.0429)	Prec@1 47.000 (47.408)	Prec@5 77.500 (77.883)
Epoch: [35][2710/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.0435 (2.0429)	Prec@1 47.500 (47.402)	Prec@5 79.000 (77.887)
Epoch: [35][2720/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0189 (2.0431)	Prec@1 47.500 (47.402)	Prec@5 77.000 (77.882)
Epoch: [35][2730/9018]	Time 0.713 (0.615)	Data 0.001 (0.002)	Loss 1.9845 (2.0431)	Prec@1 48.000 (47.399)	Prec@5 78.000 (77.882)
Epoch: [35][2740/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 1.8849 (2.0431)	Prec@1 53.000 (47.399)	Prec@5 78.500 (77.882)
Epoch: [35][2750/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.8098 (2.0432)	Prec@1 53.000 (47.397)	Prec@5 80.500 (77.879)
Epoch: [35][2760/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.2478 (2.0435)	Prec@1 43.000 (47.389)	Prec@5 76.000 (77.876)
Epoch: [35][2770/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.1271 (2.0438)	Prec@1 48.500 (47.381)	Prec@5 78.500 (77.873)
Epoch: [35][2780/9018]	Time 0.727 (0.615)	Data 0.001 (0.002)	Loss 1.7917 (2.0436)	Prec@1 53.500 (47.387)	Prec@5 82.000 (77.871)
Epoch: [35][2790/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.3647 (2.0438)	Prec@1 43.000 (47.383)	Prec@5 72.000 (77.871)
Epoch: [35][2800/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.1422 (2.0438)	Prec@1 42.000 (47.378)	Prec@5 80.000 (77.875)
Epoch: [35][2810/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.2366 (2.0439)	Prec@1 45.000 (47.375)	Prec@5 74.000 (77.876)
Epoch: [35][2820/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.0346 (2.0441)	Prec@1 48.000 (47.374)	Prec@5 80.000 (77.878)
Epoch: [35][2830/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0634 (2.0439)	Prec@1 49.000 (47.378)	Prec@5 76.500 (77.881)
Epoch: [35][2840/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.0835 (2.0440)	Prec@1 46.000 (47.374)	Prec@5 78.500 (77.875)
Epoch: [35][2850/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.9402 (2.0440)	Prec@1 48.500 (47.376)	Prec@5 83.000 (77.878)
Epoch: [35][2860/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 1.9685 (2.0438)	Prec@1 52.000 (47.383)	Prec@5 75.000 (77.884)
Epoch: [35][2870/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.8891 (2.0438)	Prec@1 47.000 (47.382)	Prec@5 78.000 (77.883)
Epoch: [35][2880/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 1.8416 (2.0436)	Prec@1 54.500 (47.386)	Prec@5 82.500 (77.884)
Epoch: [35][2890/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9994 (2.0435)	Prec@1 47.000 (47.387)	Prec@5 79.500 (77.886)
Epoch: [35][2900/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 2.0441 (2.0437)	Prec@1 44.500 (47.379)	Prec@5 79.000 (77.882)
Epoch: [35][2910/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.3528 (2.0439)	Prec@1 40.500 (47.369)	Prec@5 73.500 (77.883)
Epoch: [35][2920/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0295 (2.0437)	Prec@1 47.000 (47.371)	Prec@5 78.500 (77.885)
Epoch: [35][2930/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8826 (2.0437)	Prec@1 46.000 (47.371)	Prec@5 82.500 (77.889)
Epoch: [35][2940/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1838 (2.0438)	Prec@1 43.000 (47.370)	Prec@5 76.500 (77.890)
Epoch: [35][2950/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2678 (2.0440)	Prec@1 41.500 (47.368)	Prec@5 69.500 (77.881)
Epoch: [35][2960/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.1147 (2.0443)	Prec@1 42.500 (47.359)	Prec@5 79.500 (77.877)
Epoch: [35][2970/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1239 (2.0446)	Prec@1 43.000 (47.349)	Prec@5 76.500 (77.873)
Epoch: [35][2980/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9427 (2.0446)	Prec@1 48.500 (47.348)	Prec@5 79.000 (77.871)
Epoch: [35][2990/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0749 (2.0446)	Prec@1 47.000 (47.351)	Prec@5 75.500 (77.870)
Epoch: [35][3000/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1787 (2.0448)	Prec@1 45.000 (47.351)	Prec@5 77.000 (77.868)
Epoch: [35][3010/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0489 (2.0447)	Prec@1 45.000 (47.350)	Prec@5 79.500 (77.869)
Epoch: [35][3020/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3111 (2.0446)	Prec@1 41.000 (47.349)	Prec@5 73.000 (77.874)
Epoch: [35][3030/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9260 (2.0445)	Prec@1 44.500 (47.347)	Prec@5 82.500 (77.882)
Epoch: [35][3040/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1428 (2.0445)	Prec@1 48.500 (47.349)	Prec@5 76.000 (77.881)
Epoch: [35][3050/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2207 (2.0446)	Prec@1 52.000 (47.347)	Prec@5 73.000 (77.878)
Epoch: [35][3060/9018]	Time 0.715 (0.615)	Data 0.001 (0.001)	Loss 2.0143 (2.0447)	Prec@1 44.000 (47.344)	Prec@5 79.500 (77.878)
Epoch: [35][3070/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0204 (2.0449)	Prec@1 47.500 (47.344)	Prec@5 76.000 (77.872)
Epoch: [35][3080/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.2828 (2.0449)	Prec@1 40.000 (47.343)	Prec@5 75.000 (77.872)
Epoch: [35][3090/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.1879 (2.0450)	Prec@1 45.500 (47.342)	Prec@5 75.500 (77.868)
Epoch: [35][3100/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9037 (2.0449)	Prec@1 48.500 (47.342)	Prec@5 81.000 (77.870)
Epoch: [35][3110/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.0727 (2.0450)	Prec@1 47.000 (47.340)	Prec@5 78.000 (77.867)
Epoch: [35][3120/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0005 (2.0448)	Prec@1 48.000 (47.342)	Prec@5 82.000 (77.873)
Epoch: [35][3130/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2538 (2.0450)	Prec@1 41.500 (47.339)	Prec@5 75.500 (77.873)
Epoch: [35][3140/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9425 (2.0452)	Prec@1 47.500 (47.339)	Prec@5 80.500 (77.868)
Epoch: [35][3150/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.9760 (2.0451)	Prec@1 50.000 (47.344)	Prec@5 78.000 (77.869)
Epoch: [35][3160/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.0063 (2.0452)	Prec@1 46.000 (47.340)	Prec@5 79.000 (77.869)
Epoch: [35][3170/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8540 (2.0452)	Prec@1 51.000 (47.339)	Prec@5 80.500 (77.871)
Epoch: [35][3180/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0703 (2.0453)	Prec@1 41.500 (47.336)	Prec@5 78.500 (77.865)
Epoch: [35][3190/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.8004 (2.0452)	Prec@1 52.000 (47.340)	Prec@5 82.500 (77.870)
Epoch: [35][3200/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0031 (2.0453)	Prec@1 50.500 (47.338)	Prec@5 77.500 (77.866)
Epoch: [35][3210/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9531 (2.0454)	Prec@1 47.500 (47.341)	Prec@5 82.500 (77.866)
Epoch: [35][3220/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.1037 (2.0454)	Prec@1 43.500 (47.337)	Prec@5 79.000 (77.863)
Epoch: [35][3230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0329 (2.0453)	Prec@1 43.000 (47.335)	Prec@5 79.500 (77.864)
Epoch: [35][3240/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9099 (2.0454)	Prec@1 50.000 (47.333)	Prec@5 79.500 (77.863)
Epoch: [35][3250/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2449 (2.0455)	Prec@1 46.500 (47.333)	Prec@5 74.500 (77.862)
Epoch: [35][3260/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9263 (2.0454)	Prec@1 52.500 (47.337)	Prec@5 78.000 (77.864)
Epoch: [35][3270/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.9656 (2.0452)	Prec@1 48.000 (47.340)	Prec@5 80.000 (77.865)
Epoch: [35][3280/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0934 (2.0452)	Prec@1 45.500 (47.341)	Prec@5 76.500 (77.866)
Epoch: [35][3290/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.8919 (2.0449)	Prec@1 53.500 (47.345)	Prec@5 78.000 (77.870)
Epoch: [35][3300/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0174 (2.0449)	Prec@1 47.500 (47.344)	Prec@5 78.500 (77.875)
Epoch: [35][3310/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8295 (2.0449)	Prec@1 56.000 (47.347)	Prec@5 80.500 (77.876)
Epoch: [35][3320/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.9616 (2.0447)	Prec@1 52.000 (47.352)	Prec@5 80.000 (77.879)
Epoch: [35][3330/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.0889 (2.0448)	Prec@1 47.500 (47.348)	Prec@5 78.500 (77.881)
Epoch: [35][3340/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1410 (2.0449)	Prec@1 43.500 (47.346)	Prec@5 79.000 (77.879)
Epoch: [35][3350/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.7652 (2.0446)	Prec@1 56.500 (47.353)	Prec@5 81.500 (77.886)
Epoch: [35][3360/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.8564 (2.0447)	Prec@1 53.500 (47.355)	Prec@5 81.000 (77.884)
Epoch: [35][3370/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.1280 (2.0448)	Prec@1 46.500 (47.357)	Prec@5 76.500 (77.881)
Epoch: [35][3380/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2266 (2.0447)	Prec@1 46.500 (47.355)	Prec@5 75.500 (77.881)
Epoch: [35][3390/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.2496 (2.0447)	Prec@1 44.000 (47.357)	Prec@5 74.000 (77.881)
Epoch: [35][3400/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1851 (2.0447)	Prec@1 41.500 (47.359)	Prec@5 73.000 (77.883)
Epoch: [35][3410/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 1.8693 (2.0445)	Prec@1 51.000 (47.365)	Prec@5 79.000 (77.886)
Epoch: [35][3420/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1680 (2.0447)	Prec@1 45.000 (47.361)	Prec@5 77.500 (77.883)
Epoch: [35][3430/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.8878 (2.0448)	Prec@1 51.000 (47.358)	Prec@5 79.500 (77.880)
Epoch: [35][3440/9018]	Time 0.747 (0.615)	Data 0.001 (0.001)	Loss 2.0472 (2.0447)	Prec@1 46.500 (47.364)	Prec@5 79.000 (77.881)
Epoch: [35][3450/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0701 (2.0447)	Prec@1 49.500 (47.365)	Prec@5 77.000 (77.880)
Epoch: [35][3460/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1591 (2.0447)	Prec@1 46.500 (47.367)	Prec@5 74.500 (77.880)
Epoch: [35][3470/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.8790 (2.0447)	Prec@1 51.500 (47.366)	Prec@5 79.000 (77.881)
Epoch: [35][3480/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.1414 (2.0446)	Prec@1 45.500 (47.370)	Prec@5 79.000 (77.884)
Epoch: [35][3490/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.8872 (2.0446)	Prec@1 46.000 (47.366)	Prec@5 80.500 (77.883)
Epoch: [35][3500/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.0971 (2.0446)	Prec@1 47.000 (47.365)	Prec@5 77.000 (77.881)
Epoch: [35][3510/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9982 (2.0446)	Prec@1 49.500 (47.368)	Prec@5 81.000 (77.884)
Epoch: [35][3520/9018]	Time 0.639 (0.614)	Data 0.001 (0.001)	Loss 2.2692 (2.0445)	Prec@1 40.000 (47.366)	Prec@5 75.500 (77.885)
Epoch: [35][3530/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1442 (2.0445)	Prec@1 43.000 (47.364)	Prec@5 76.500 (77.885)
Epoch: [35][3540/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.0171 (2.0447)	Prec@1 50.000 (47.356)	Prec@5 78.000 (77.882)
Epoch: [35][3550/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 2.1862 (2.0449)	Prec@1 47.000 (47.353)	Prec@5 74.500 (77.880)
Epoch: [35][3560/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 1.7978 (2.0448)	Prec@1 55.000 (47.355)	Prec@5 80.500 (77.879)
Epoch: [35][3570/9018]	Time 0.587 (0.614)	Data 0.001 (0.001)	Loss 1.9604 (2.0447)	Prec@1 53.500 (47.358)	Prec@5 76.500 (77.882)
Epoch: [35][3580/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 1.9437 (2.0447)	Prec@1 49.000 (47.357)	Prec@5 79.000 (77.881)
Epoch: [35][3590/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1593 (2.0449)	Prec@1 46.500 (47.353)	Prec@5 75.500 (77.879)
Epoch: [35][3600/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.1951 (2.0451)	Prec@1 43.500 (47.350)	Prec@5 76.500 (77.875)
Epoch: [35][3610/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1846 (2.0452)	Prec@1 46.000 (47.349)	Prec@5 75.500 (77.876)
Epoch: [35][3620/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.0814 (2.0450)	Prec@1 46.500 (47.353)	Prec@5 74.000 (77.877)
Epoch: [35][3630/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.2040 (2.0451)	Prec@1 41.000 (47.349)	Prec@5 74.500 (77.875)
Epoch: [35][3640/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 1.9401 (2.0449)	Prec@1 48.000 (47.353)	Prec@5 81.000 (77.878)
Epoch: [35][3650/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0012 (2.0450)	Prec@1 45.500 (47.353)	Prec@5 78.000 (77.876)
Epoch: [35][3660/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 1.9744 (2.0450)	Prec@1 46.500 (47.352)	Prec@5 81.000 (77.877)
Epoch: [35][3670/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 1.8810 (2.0450)	Prec@1 50.500 (47.355)	Prec@5 81.000 (77.879)
Epoch: [35][3680/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.8978 (2.0451)	Prec@1 46.500 (47.353)	Prec@5 81.500 (77.878)
Epoch: [35][3690/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0386 (2.0452)	Prec@1 46.500 (47.349)	Prec@5 79.500 (77.875)
Epoch: [35][3700/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1773 (2.0451)	Prec@1 49.000 (47.353)	Prec@5 74.500 (77.877)
Epoch: [35][3710/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.0303 (2.0453)	Prec@1 42.500 (47.351)	Prec@5 77.500 (77.874)
Epoch: [35][3720/9018]	Time 0.724 (0.614)	Data 0.001 (0.001)	Loss 2.2608 (2.0454)	Prec@1 44.000 (47.347)	Prec@5 71.500 (77.867)
Epoch: [35][3730/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.9115 (2.0454)	Prec@1 49.500 (47.346)	Prec@5 78.500 (77.868)
Epoch: [35][3740/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.3058 (2.0455)	Prec@1 45.000 (47.343)	Prec@5 73.000 (77.864)
Epoch: [35][3750/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 1.9535 (2.0455)	Prec@1 47.000 (47.340)	Prec@5 80.000 (77.869)
Epoch: [35][3760/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 2.1009 (2.0455)	Prec@1 45.500 (47.339)	Prec@5 79.000 (77.868)
Epoch: [35][3770/9018]	Time 0.701 (0.614)	Data 0.001 (0.001)	Loss 1.8534 (2.0454)	Prec@1 51.000 (47.341)	Prec@5 81.500 (77.871)
Epoch: [35][3780/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1763 (2.0454)	Prec@1 40.500 (47.335)	Prec@5 72.500 (77.870)
Epoch: [35][3790/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 2.3018 (2.0454)	Prec@1 41.500 (47.335)	Prec@5 74.500 (77.869)
Epoch: [35][3800/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 2.1871 (2.0456)	Prec@1 43.500 (47.331)	Prec@5 74.000 (77.865)
Epoch: [35][3810/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.8558 (2.0455)	Prec@1 53.500 (47.332)	Prec@5 78.500 (77.867)
Epoch: [35][3820/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.2502 (2.0457)	Prec@1 39.500 (47.328)	Prec@5 74.000 (77.866)
Epoch: [35][3830/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.0926 (2.0457)	Prec@1 42.000 (47.328)	Prec@5 74.500 (77.862)
Epoch: [35][3840/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.9323 (2.0456)	Prec@1 50.000 (47.332)	Prec@5 78.000 (77.866)
Epoch: [35][3850/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 1.9852 (2.0458)	Prec@1 45.000 (47.329)	Prec@5 82.000 (77.869)
Epoch: [35][3860/9018]	Time 0.602 (0.614)	Data 0.003 (0.001)	Loss 2.1332 (2.0459)	Prec@1 46.500 (47.327)	Prec@5 77.500 (77.867)
Epoch: [35][3870/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.1153 (2.0460)	Prec@1 47.000 (47.330)	Prec@5 76.500 (77.864)
Epoch: [35][3880/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 2.0187 (2.0459)	Prec@1 47.000 (47.330)	Prec@5 80.000 (77.863)
Epoch: [35][3890/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1956 (2.0458)	Prec@1 45.500 (47.331)	Prec@5 73.500 (77.865)
Epoch: [35][3900/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1810 (2.0459)	Prec@1 47.500 (47.326)	Prec@5 72.000 (77.863)
Epoch: [35][3910/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0817 (2.0458)	Prec@1 44.500 (47.329)	Prec@5 76.500 (77.866)
Epoch: [35][3920/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.4358 (2.0458)	Prec@1 41.500 (47.328)	Prec@5 69.500 (77.868)
Epoch: [35][3930/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1488 (2.0459)	Prec@1 44.500 (47.332)	Prec@5 76.500 (77.866)
Epoch: [35][3940/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9542 (2.0459)	Prec@1 48.500 (47.333)	Prec@5 77.000 (77.864)
Epoch: [35][3950/9018]	Time 0.637 (0.614)	Data 0.001 (0.001)	Loss 2.1455 (2.0460)	Prec@1 45.000 (47.327)	Prec@5 76.500 (77.861)
Epoch: [35][3960/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.1181 (2.0462)	Prec@1 43.000 (47.325)	Prec@5 75.500 (77.860)
Epoch: [35][3970/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1094 (2.0462)	Prec@1 46.500 (47.320)	Prec@5 76.000 (77.859)
Epoch: [35][3980/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9833 (2.0464)	Prec@1 49.500 (47.318)	Prec@5 79.500 (77.856)
Epoch: [35][3990/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.2346 (2.0463)	Prec@1 45.500 (47.323)	Prec@5 75.500 (77.856)
Epoch: [35][4000/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.9578 (2.0463)	Prec@1 48.000 (47.322)	Prec@5 80.000 (77.859)
Epoch: [35][4010/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1588 (2.0464)	Prec@1 43.000 (47.319)	Prec@5 77.000 (77.856)
Epoch: [35][4020/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.9403 (2.0464)	Prec@1 51.000 (47.317)	Prec@5 81.500 (77.859)
Epoch: [35][4030/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 2.3303 (2.0465)	Prec@1 44.500 (47.316)	Prec@5 72.500 (77.858)
Epoch: [35][4040/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 1.9776 (2.0466)	Prec@1 47.000 (47.313)	Prec@5 79.000 (77.858)
Epoch: [35][4050/9018]	Time 0.717 (0.614)	Data 0.001 (0.001)	Loss 2.1771 (2.0465)	Prec@1 44.500 (47.315)	Prec@5 72.000 (77.858)
Epoch: [35][4060/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.0945 (2.0463)	Prec@1 46.000 (47.318)	Prec@5 77.000 (77.861)
Epoch: [35][4070/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.8298 (2.0463)	Prec@1 51.000 (47.318)	Prec@5 81.000 (77.859)
Epoch: [35][4080/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 1.9276 (2.0464)	Prec@1 50.000 (47.316)	Prec@5 78.000 (77.858)
Epoch: [35][4090/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.2844 (2.0464)	Prec@1 43.000 (47.317)	Prec@5 72.000 (77.857)
Epoch: [35][4100/9018]	Time 0.752 (0.614)	Data 0.001 (0.001)	Loss 1.8767 (2.0463)	Prec@1 53.500 (47.322)	Prec@5 81.000 (77.859)
Epoch: [35][4110/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 2.1866 (2.0461)	Prec@1 43.500 (47.324)	Prec@5 76.000 (77.862)
Epoch: [35][4120/9018]	Time 0.603 (0.614)	Data 0.002 (0.001)	Loss 1.8313 (2.0462)	Prec@1 55.000 (47.322)	Prec@5 79.500 (77.860)
Epoch: [35][4130/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0626 (2.0464)	Prec@1 49.000 (47.317)	Prec@5 77.000 (77.857)
Epoch: [35][4140/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.1265 (2.0463)	Prec@1 43.000 (47.315)	Prec@5 79.000 (77.858)
Epoch: [35][4150/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0925 (2.0463)	Prec@1 46.500 (47.315)	Prec@5 76.500 (77.859)
Epoch: [35][4160/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 1.8776 (2.0461)	Prec@1 52.000 (47.318)	Prec@5 81.500 (77.864)
Epoch: [35][4170/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 1.8997 (2.0461)	Prec@1 52.500 (47.319)	Prec@5 77.500 (77.865)
Epoch: [35][4180/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.1298 (2.0462)	Prec@1 50.000 (47.321)	Prec@5 73.500 (77.863)
Epoch: [35][4190/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.0210 (2.0461)	Prec@1 49.500 (47.321)	Prec@5 78.000 (77.865)
Epoch: [35][4200/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.3902 (2.0463)	Prec@1 40.000 (47.318)	Prec@5 72.000 (77.862)
Epoch: [35][4210/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 2.2841 (2.0465)	Prec@1 42.000 (47.318)	Prec@5 69.000 (77.858)
Epoch: [35][4220/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1068 (2.0464)	Prec@1 47.000 (47.320)	Prec@5 74.500 (77.857)
Epoch: [35][4230/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 1.9182 (2.0463)	Prec@1 48.000 (47.324)	Prec@5 81.500 (77.858)
Epoch: [35][4240/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9091 (2.0462)	Prec@1 53.000 (47.328)	Prec@5 81.500 (77.858)
Epoch: [35][4250/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0391 (2.0464)	Prec@1 48.000 (47.327)	Prec@5 79.000 (77.856)
Epoch: [35][4260/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.9700 (2.0466)	Prec@1 46.500 (47.319)	Prec@5 79.500 (77.851)
Epoch: [35][4270/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1692 (2.0467)	Prec@1 47.000 (47.322)	Prec@5 70.500 (77.849)
Epoch: [35][4280/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.8655 (2.0466)	Prec@1 53.500 (47.326)	Prec@5 82.000 (77.850)
Epoch: [35][4290/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.8762 (2.0465)	Prec@1 50.500 (47.328)	Prec@5 78.000 (77.849)
Epoch: [35][4300/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9754 (2.0465)	Prec@1 49.000 (47.327)	Prec@5 79.000 (77.849)
Epoch: [35][4310/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 2.2864 (2.0468)	Prec@1 42.500 (47.324)	Prec@5 70.000 (77.843)
Epoch: [35][4320/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.0740 (2.0468)	Prec@1 48.500 (47.324)	Prec@5 76.000 (77.843)
Epoch: [35][4330/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 2.0078 (2.0467)	Prec@1 44.500 (47.328)	Prec@5 80.000 (77.843)
Epoch: [35][4340/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 1.9989 (2.0468)	Prec@1 47.500 (47.326)	Prec@5 75.000 (77.842)
Epoch: [35][4350/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.2524 (2.0468)	Prec@1 44.000 (47.326)	Prec@5 74.500 (77.843)
Epoch: [35][4360/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1300 (2.0468)	Prec@1 46.500 (47.324)	Prec@5 74.500 (77.841)
Epoch: [35][4370/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0190 (2.0467)	Prec@1 49.000 (47.325)	Prec@5 78.000 (77.842)
Epoch: [35][4380/9018]	Time 0.751 (0.614)	Data 0.001 (0.001)	Loss 1.9041 (2.0469)	Prec@1 46.500 (47.320)	Prec@5 78.500 (77.838)
Epoch: [35][4390/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0056 (2.0468)	Prec@1 46.000 (47.320)	Prec@5 77.000 (77.840)
Epoch: [35][4400/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.8825 (2.0469)	Prec@1 48.000 (47.315)	Prec@5 81.500 (77.840)
Epoch: [35][4410/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.9166 (2.0467)	Prec@1 49.000 (47.315)	Prec@5 77.000 (77.842)
Epoch: [35][4420/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.0848 (2.0468)	Prec@1 45.500 (47.313)	Prec@5 79.000 (77.840)
Epoch: [35][4430/9018]	Time 0.735 (0.614)	Data 0.001 (0.001)	Loss 2.0147 (2.0466)	Prec@1 45.000 (47.314)	Prec@5 78.500 (77.843)
Epoch: [35][4440/9018]	Time 0.638 (0.614)	Data 0.001 (0.001)	Loss 2.0379 (2.0467)	Prec@1 47.000 (47.314)	Prec@5 76.000 (77.840)
Epoch: [35][4450/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.2205 (2.0468)	Prec@1 46.500 (47.310)	Prec@5 73.000 (77.838)
Epoch: [35][4460/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.0752 (2.0468)	Prec@1 45.000 (47.312)	Prec@5 77.500 (77.836)
Epoch: [35][4470/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.2300 (2.0469)	Prec@1 38.500 (47.308)	Prec@5 77.000 (77.838)
Epoch: [35][4480/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.1032 (2.0471)	Prec@1 45.500 (47.305)	Prec@5 78.000 (77.835)
Epoch: [35][4490/9018]	Time 0.589 (0.614)	Data 0.001 (0.001)	Loss 2.1326 (2.0470)	Prec@1 45.500 (47.307)	Prec@5 78.500 (77.835)
Epoch: [35][4500/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.9998 (2.0470)	Prec@1 47.000 (47.306)	Prec@5 78.500 (77.837)
Epoch: [35][4510/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.1855 (2.0468)	Prec@1 45.000 (47.309)	Prec@5 75.000 (77.839)
Epoch: [35][4520/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 2.0485 (2.0469)	Prec@1 50.000 (47.307)	Prec@5 81.000 (77.836)
Epoch: [35][4530/9018]	Time 0.617 (0.614)	Data 0.001 (0.001)	Loss 2.1089 (2.0469)	Prec@1 46.500 (47.309)	Prec@5 77.000 (77.838)
Epoch: [35][4540/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 1.9354 (2.0468)	Prec@1 47.500 (47.308)	Prec@5 80.500 (77.839)
Epoch: [35][4550/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 1.8837 (2.0469)	Prec@1 51.500 (47.305)	Prec@5 80.000 (77.838)
Epoch: [35][4560/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1627 (2.0469)	Prec@1 45.500 (47.306)	Prec@5 73.000 (77.838)
Epoch: [35][4570/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.0451 (2.0470)	Prec@1 43.000 (47.303)	Prec@5 74.000 (77.836)
Epoch: [35][4580/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.0634 (2.0470)	Prec@1 45.000 (47.301)	Prec@5 77.000 (77.835)
Epoch: [35][4590/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 2.0349 (2.0470)	Prec@1 49.000 (47.301)	Prec@5 76.000 (77.836)
Epoch: [35][4600/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1741 (2.0471)	Prec@1 44.500 (47.301)	Prec@5 74.500 (77.836)
Epoch: [35][4610/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 2.0018 (2.0471)	Prec@1 49.500 (47.301)	Prec@5 81.500 (77.836)
Epoch: [35][4620/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.0042 (2.0472)	Prec@1 43.000 (47.299)	Prec@5 79.000 (77.835)
Epoch: [35][4630/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 2.1731 (2.0472)	Prec@1 48.000 (47.300)	Prec@5 78.000 (77.833)
Epoch: [35][4640/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9230 (2.0472)	Prec@1 45.000 (47.299)	Prec@5 81.000 (77.834)
Epoch: [35][4650/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.7221 (2.0471)	Prec@1 49.000 (47.302)	Prec@5 83.500 (77.834)
Epoch: [35][4660/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 2.0523 (2.0471)	Prec@1 48.500 (47.300)	Prec@5 81.500 (77.836)
Epoch: [35][4670/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0091 (2.0472)	Prec@1 50.000 (47.297)	Prec@5 78.000 (77.833)
Epoch: [35][4680/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0054 (2.0472)	Prec@1 50.000 (47.298)	Prec@5 80.000 (77.833)
Epoch: [35][4690/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1916 (2.0473)	Prec@1 39.000 (47.300)	Prec@5 77.500 (77.834)
Epoch: [35][4700/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1644 (2.0473)	Prec@1 44.500 (47.298)	Prec@5 74.500 (77.833)
Epoch: [35][4710/9018]	Time 0.716 (0.614)	Data 0.001 (0.001)	Loss 2.1904 (2.0473)	Prec@1 44.000 (47.298)	Prec@5 73.500 (77.830)
Epoch: [35][4720/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1189 (2.0474)	Prec@1 48.500 (47.298)	Prec@5 76.500 (77.829)
Epoch: [35][4730/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1671 (2.0475)	Prec@1 46.000 (47.296)	Prec@5 73.500 (77.828)
Epoch: [35][4740/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 1.9808 (2.0476)	Prec@1 46.000 (47.296)	Prec@5 79.000 (77.828)
Epoch: [35][4750/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.9672 (2.0477)	Prec@1 44.000 (47.292)	Prec@5 80.000 (77.823)
Epoch: [35][4760/9018]	Time 0.743 (0.614)	Data 0.001 (0.001)	Loss 2.3562 (2.0479)	Prec@1 42.500 (47.293)	Prec@5 70.000 (77.821)
Epoch: [35][4770/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.1968 (2.0480)	Prec@1 47.500 (47.291)	Prec@5 75.500 (77.819)
Epoch: [35][4780/9018]	Time 0.589 (0.614)	Data 0.001 (0.001)	Loss 2.0591 (2.0480)	Prec@1 49.000 (47.294)	Prec@5 77.500 (77.818)
Epoch: [35][4790/9018]	Time 0.633 (0.614)	Data 0.001 (0.001)	Loss 2.1286 (2.0480)	Prec@1 44.000 (47.293)	Prec@5 74.000 (77.817)
Epoch: [35][4800/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.1408 (2.0482)	Prec@1 47.500 (47.292)	Prec@5 75.000 (77.814)
Epoch: [35][4810/9018]	Time 0.635 (0.614)	Data 0.001 (0.001)	Loss 1.8931 (2.0482)	Prec@1 44.500 (47.289)	Prec@5 82.500 (77.815)
Epoch: [35][4820/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.2067 (2.0482)	Prec@1 43.000 (47.291)	Prec@5 76.500 (77.815)
Epoch: [35][4830/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.0785 (2.0481)	Prec@1 44.500 (47.290)	Prec@5 80.500 (77.819)
Epoch: [35][4840/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0110 (2.0480)	Prec@1 51.500 (47.292)	Prec@5 79.500 (77.820)
Epoch: [35][4850/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.1085 (2.0479)	Prec@1 46.500 (47.292)	Prec@5 74.500 (77.822)
Epoch: [35][4860/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9797 (2.0480)	Prec@1 46.000 (47.291)	Prec@5 80.000 (77.823)
Epoch: [35][4870/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0804 (2.0480)	Prec@1 42.500 (47.288)	Prec@5 77.000 (77.823)
Epoch: [35][4880/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1638 (2.0480)	Prec@1 43.000 (47.285)	Prec@5 77.500 (77.823)
Epoch: [35][4890/9018]	Time 0.617 (0.614)	Data 0.001 (0.001)	Loss 2.0008 (2.0480)	Prec@1 45.500 (47.283)	Prec@5 77.500 (77.824)
Epoch: [35][4900/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.0653 (2.0481)	Prec@1 41.500 (47.281)	Prec@5 77.000 (77.821)
Epoch: [35][4910/9018]	Time 0.598 (0.614)	Data 0.003 (0.001)	Loss 2.1087 (2.0481)	Prec@1 44.500 (47.278)	Prec@5 76.500 (77.821)
Epoch: [35][4920/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.1218 (2.0480)	Prec@1 41.000 (47.276)	Prec@5 79.500 (77.821)
Epoch: [35][4930/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9988 (2.0480)	Prec@1 42.500 (47.275)	Prec@5 81.500 (77.821)
Epoch: [35][4940/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.2576 (2.0481)	Prec@1 45.000 (47.273)	Prec@5 72.000 (77.819)
Epoch: [35][4950/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0852 (2.0481)	Prec@1 45.000 (47.271)	Prec@5 80.500 (77.819)
Epoch: [35][4960/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.8863 (2.0481)	Prec@1 51.500 (47.273)	Prec@5 78.500 (77.818)
Epoch: [35][4970/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 1.9471 (2.0481)	Prec@1 49.000 (47.275)	Prec@5 82.000 (77.818)
Epoch: [35][4980/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0500 (2.0481)	Prec@1 46.000 (47.275)	Prec@5 81.000 (77.821)
Epoch: [35][4990/9018]	Time 0.635 (0.614)	Data 0.001 (0.001)	Loss 1.9878 (2.0482)	Prec@1 51.000 (47.275)	Prec@5 78.500 (77.820)
Epoch: [35][5000/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9392 (2.0482)	Prec@1 50.000 (47.274)	Prec@5 77.500 (77.820)
Epoch: [35][5010/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9002 (2.0483)	Prec@1 52.000 (47.274)	Prec@5 80.500 (77.819)
Epoch: [35][5020/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 1.8221 (2.0481)	Prec@1 53.500 (47.277)	Prec@5 81.000 (77.821)
Epoch: [35][5030/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0314 (2.0482)	Prec@1 53.000 (47.277)	Prec@5 78.000 (77.819)
Epoch: [35][5040/9018]	Time 0.712 (0.614)	Data 0.001 (0.001)	Loss 2.1185 (2.0482)	Prec@1 47.000 (47.276)	Prec@5 74.500 (77.818)
Epoch: [35][5050/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 2.2111 (2.0483)	Prec@1 41.500 (47.275)	Prec@5 72.500 (77.816)
Epoch: [35][5060/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0256 (2.0482)	Prec@1 47.000 (47.278)	Prec@5 77.500 (77.817)
Epoch: [35][5070/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.2511 (2.0483)	Prec@1 44.500 (47.276)	Prec@5 73.000 (77.816)
Epoch: [35][5080/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.1842 (2.0483)	Prec@1 43.000 (47.276)	Prec@5 77.500 (77.817)
Epoch: [35][5090/9018]	Time 0.734 (0.614)	Data 0.001 (0.001)	Loss 2.1124 (2.0484)	Prec@1 47.000 (47.276)	Prec@5 77.000 (77.817)
Epoch: [35][5100/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1660 (2.0484)	Prec@1 45.000 (47.277)	Prec@5 78.500 (77.818)
Epoch: [35][5110/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1916 (2.0484)	Prec@1 41.000 (47.274)	Prec@5 74.500 (77.816)
Epoch: [35][5120/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.1175 (2.0484)	Prec@1 47.000 (47.274)	Prec@5 77.500 (77.817)
Epoch: [35][5130/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.8103 (2.0483)	Prec@1 53.500 (47.275)	Prec@5 83.000 (77.817)
Epoch: [35][5140/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.1060 (2.0484)	Prec@1 44.000 (47.275)	Prec@5 77.000 (77.818)
Epoch: [35][5150/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0949 (2.0484)	Prec@1 40.000 (47.272)	Prec@5 78.000 (77.818)
Epoch: [35][5160/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 2.0741 (2.0485)	Prec@1 41.500 (47.267)	Prec@5 78.000 (77.816)
Epoch: [35][5170/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1672 (2.0487)	Prec@1 44.000 (47.264)	Prec@5 74.500 (77.814)
Epoch: [35][5180/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.1584 (2.0487)	Prec@1 46.500 (47.263)	Prec@5 73.000 (77.812)
Epoch: [35][5190/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.2831 (2.0487)	Prec@1 44.500 (47.265)	Prec@5 72.000 (77.811)
Epoch: [35][5200/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9964 (2.0487)	Prec@1 48.000 (47.262)	Prec@5 78.500 (77.807)
Epoch: [35][5210/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.2504 (2.0487)	Prec@1 45.000 (47.263)	Prec@5 74.000 (77.806)
Epoch: [35][5220/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.8093 (2.0486)	Prec@1 54.000 (47.264)	Prec@5 82.500 (77.808)
Epoch: [35][5230/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.9473 (2.0485)	Prec@1 48.000 (47.266)	Prec@5 79.500 (77.809)
Epoch: [35][5240/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0434 (2.0485)	Prec@1 48.500 (47.267)	Prec@5 75.500 (77.809)
Epoch: [35][5250/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 2.2001 (2.0485)	Prec@1 47.000 (47.265)	Prec@5 76.000 (77.808)
Epoch: [35][5260/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.9248 (2.0484)	Prec@1 51.500 (47.265)	Prec@5 79.000 (77.808)
Epoch: [35][5270/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 1.7601 (2.0485)	Prec@1 53.500 (47.265)	Prec@5 81.500 (77.805)
Epoch: [35][5280/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.2247 (2.0486)	Prec@1 42.000 (47.261)	Prec@5 75.500 (77.802)
Epoch: [35][5290/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.8620 (2.0486)	Prec@1 51.500 (47.262)	Prec@5 79.500 (77.805)
Epoch: [35][5300/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 1.9640 (2.0487)	Prec@1 49.500 (47.258)	Prec@5 77.000 (77.804)
Epoch: [35][5310/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.8426 (2.0486)	Prec@1 51.500 (47.258)	Prec@5 78.000 (77.805)
Epoch: [35][5320/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 2.0956 (2.0488)	Prec@1 46.000 (47.253)	Prec@5 75.500 (77.802)
Epoch: [35][5330/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.8649 (2.0489)	Prec@1 51.000 (47.253)	Prec@5 82.500 (77.799)
Epoch: [35][5340/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.2590 (2.0490)	Prec@1 41.000 (47.249)	Prec@5 71.000 (77.798)
Epoch: [35][5350/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.9489 (2.0490)	Prec@1 52.000 (47.251)	Prec@5 78.500 (77.800)
Epoch: [35][5360/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0805 (2.0490)	Prec@1 47.500 (47.252)	Prec@5 80.000 (77.802)
Epoch: [35][5370/9018]	Time 0.744 (0.614)	Data 0.001 (0.001)	Loss 2.0316 (2.0489)	Prec@1 49.000 (47.254)	Prec@5 76.000 (77.800)
Epoch: [35][5380/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0357 (2.0490)	Prec@1 49.000 (47.253)	Prec@5 78.000 (77.797)
Epoch: [35][5390/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.0431 (2.0489)	Prec@1 43.000 (47.256)	Prec@5 81.500 (77.801)
Epoch: [35][5400/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0678 (2.0489)	Prec@1 46.000 (47.255)	Prec@5 77.000 (77.801)
Epoch: [35][5410/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.1033 (2.0489)	Prec@1 42.500 (47.253)	Prec@5 76.500 (77.802)
Epoch: [35][5420/9018]	Time 0.712 (0.614)	Data 0.001 (0.001)	Loss 1.8180 (2.0488)	Prec@1 51.000 (47.255)	Prec@5 83.500 (77.803)
Epoch: [35][5430/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.8641 (2.0488)	Prec@1 50.000 (47.256)	Prec@5 83.000 (77.806)
Epoch: [35][5440/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 1.7614 (2.0486)	Prec@1 55.000 (47.259)	Prec@5 81.500 (77.806)
Epoch: [35][5450/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.2201 (2.0487)	Prec@1 44.500 (47.258)	Prec@5 73.000 (77.803)
Epoch: [35][5460/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.1714 (2.0488)	Prec@1 47.500 (47.258)	Prec@5 74.000 (77.802)
Epoch: [35][5470/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.1361 (2.0488)	Prec@1 47.500 (47.258)	Prec@5 78.500 (77.804)
Epoch: [35][5480/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.0458 (2.0487)	Prec@1 48.000 (47.260)	Prec@5 79.000 (77.807)
Epoch: [35][5490/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1007 (2.0488)	Prec@1 44.500 (47.254)	Prec@5 76.500 (77.803)
Epoch: [35][5500/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 1.8954 (2.0488)	Prec@1 51.500 (47.256)	Prec@5 81.000 (77.803)
Epoch: [35][5510/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1199 (2.0487)	Prec@1 44.500 (47.259)	Prec@5 72.500 (77.804)
Epoch: [35][5520/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9009 (2.0488)	Prec@1 47.000 (47.257)	Prec@5 84.500 (77.803)
Epoch: [35][5530/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.1542 (2.0489)	Prec@1 43.500 (47.257)	Prec@5 77.000 (77.800)
Epoch: [35][5540/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9918 (2.0489)	Prec@1 46.000 (47.254)	Prec@5 79.000 (77.800)
Epoch: [35][5550/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9716 (2.0489)	Prec@1 49.500 (47.256)	Prec@5 79.500 (77.802)
Epoch: [35][5560/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.2673 (2.0488)	Prec@1 45.000 (47.260)	Prec@5 75.000 (77.805)
Epoch: [35][5570/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.7921 (2.0488)	Prec@1 50.000 (47.258)	Prec@5 83.500 (77.806)
Epoch: [35][5580/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.2258 (2.0488)	Prec@1 42.500 (47.258)	Prec@5 75.500 (77.806)
Epoch: [35][5590/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0354 (2.0488)	Prec@1 46.500 (47.258)	Prec@5 78.000 (77.808)
Epoch: [35][5600/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.3180 (2.0489)	Prec@1 39.000 (47.257)	Prec@5 71.500 (77.806)
Epoch: [35][5610/9018]	Time 0.635 (0.614)	Data 0.001 (0.001)	Loss 1.9737 (2.0488)	Prec@1 47.500 (47.257)	Prec@5 78.500 (77.809)
Epoch: [35][5620/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.3622 (2.0490)	Prec@1 43.500 (47.252)	Prec@5 72.000 (77.804)
Epoch: [35][5630/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.8907 (2.0489)	Prec@1 52.500 (47.254)	Prec@5 80.500 (77.806)
Epoch: [35][5640/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.0316 (2.0489)	Prec@1 45.500 (47.257)	Prec@5 75.000 (77.804)
Epoch: [35][5650/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.4529 (2.0489)	Prec@1 36.500 (47.256)	Prec@5 69.000 (77.804)
Epoch: [35][5660/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0538 (2.0488)	Prec@1 49.500 (47.259)	Prec@5 76.000 (77.805)
Epoch: [35][5670/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.9750 (2.0488)	Prec@1 47.500 (47.260)	Prec@5 81.000 (77.808)
Epoch: [35][5680/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.2233 (2.0488)	Prec@1 40.500 (47.259)	Prec@5 75.000 (77.808)
Epoch: [35][5690/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 2.0464 (2.0487)	Prec@1 48.000 (47.262)	Prec@5 78.000 (77.809)
Epoch: [35][5700/9018]	Time 0.722 (0.614)	Data 0.001 (0.001)	Loss 2.0251 (2.0488)	Prec@1 48.500 (47.260)	Prec@5 80.000 (77.810)
Epoch: [35][5710/9018]	Time 0.633 (0.614)	Data 0.001 (0.001)	Loss 2.1999 (2.0489)	Prec@1 46.000 (47.258)	Prec@5 75.500 (77.808)
Epoch: [35][5720/9018]	Time 0.587 (0.614)	Data 0.001 (0.001)	Loss 2.0557 (2.0488)	Prec@1 46.500 (47.260)	Prec@5 77.500 (77.810)
Epoch: [35][5730/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0265 (2.0488)	Prec@1 49.000 (47.260)	Prec@5 75.000 (77.809)
Epoch: [35][5740/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9024 (2.0488)	Prec@1 52.500 (47.261)	Prec@5 80.500 (77.808)
Epoch: [35][5750/9018]	Time 0.732 (0.614)	Data 0.001 (0.001)	Loss 1.9143 (2.0488)	Prec@1 53.500 (47.261)	Prec@5 81.000 (77.809)
Epoch: [35][5760/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.8536 (2.0488)	Prec@1 47.500 (47.262)	Prec@5 82.000 (77.809)
Epoch: [35][5770/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0451 (2.0488)	Prec@1 49.000 (47.258)	Prec@5 78.000 (77.810)
Epoch: [35][5780/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9448 (2.0488)	Prec@1 51.000 (47.258)	Prec@5 81.000 (77.811)
Epoch: [35][5790/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.9620 (2.0488)	Prec@1 52.000 (47.259)	Prec@5 81.000 (77.811)
Epoch: [35][5800/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.8748 (2.0487)	Prec@1 50.500 (47.260)	Prec@5 78.500 (77.812)
Epoch: [35][5810/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.0172 (2.0487)	Prec@1 48.500 (47.258)	Prec@5 79.500 (77.814)
Epoch: [35][5820/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9281 (2.0487)	Prec@1 51.500 (47.256)	Prec@5 79.500 (77.814)
Epoch: [35][5830/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.0857 (2.0488)	Prec@1 43.000 (47.256)	Prec@5 75.500 (77.813)
Epoch: [35][5840/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.0205 (2.0488)	Prec@1 49.500 (47.254)	Prec@5 79.000 (77.813)
Epoch: [35][5850/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 1.7966 (2.0489)	Prec@1 54.500 (47.254)	Prec@5 81.500 (77.811)
Epoch: [35][5860/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.1834 (2.0489)	Prec@1 46.500 (47.253)	Prec@5 74.500 (77.810)
Epoch: [35][5870/9018]	Time 0.589 (0.614)	Data 0.001 (0.001)	Loss 2.1554 (2.0490)	Prec@1 49.000 (47.256)	Prec@5 75.000 (77.808)
Epoch: [35][5880/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.2746 (2.0491)	Prec@1 42.500 (47.254)	Prec@5 73.500 (77.804)
Epoch: [35][5890/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 1.8385 (2.0490)	Prec@1 53.500 (47.257)	Prec@5 82.000 (77.805)
Epoch: [35][5900/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 2.0092 (2.0491)	Prec@1 48.000 (47.252)	Prec@5 78.000 (77.803)
Epoch: [35][5910/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9130 (2.0490)	Prec@1 52.000 (47.255)	Prec@5 78.500 (77.803)
Epoch: [35][5920/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.2368 (2.0490)	Prec@1 42.500 (47.257)	Prec@5 73.500 (77.802)
Epoch: [35][5930/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 2.0226 (2.0490)	Prec@1 53.000 (47.257)	Prec@5 80.500 (77.803)
Epoch: [35][5940/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 1.9277 (2.0491)	Prec@1 53.500 (47.255)	Prec@5 80.000 (77.803)
Epoch: [35][5950/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1161 (2.0491)	Prec@1 46.500 (47.254)	Prec@5 75.000 (77.802)
Epoch: [35][5960/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.1652 (2.0492)	Prec@1 48.500 (47.254)	Prec@5 75.000 (77.797)
Epoch: [35][5970/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.0463 (2.0493)	Prec@1 49.500 (47.254)	Prec@5 79.000 (77.796)
Epoch: [35][5980/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0783 (2.0495)	Prec@1 44.500 (47.251)	Prec@5 79.500 (77.794)
Epoch: [35][5990/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.9325 (2.0495)	Prec@1 50.500 (47.251)	Prec@5 80.000 (77.793)
Epoch: [35][6000/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.2454 (2.0495)	Prec@1 41.000 (47.252)	Prec@5 75.000 (77.792)
Epoch: [35][6010/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 1.8075 (2.0494)	Prec@1 53.500 (47.253)	Prec@5 80.500 (77.793)
Epoch: [35][6020/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.9845 (2.0496)	Prec@1 50.000 (47.251)	Prec@5 80.000 (77.791)
Epoch: [35][6030/9018]	Time 0.721 (0.614)	Data 0.001 (0.001)	Loss 2.1673 (2.0496)	Prec@1 45.000 (47.252)	Prec@5 78.500 (77.791)
Epoch: [35][6040/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.2375 (2.0496)	Prec@1 42.000 (47.250)	Prec@5 74.000 (77.789)
Epoch: [35][6050/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9237 (2.0496)	Prec@1 52.000 (47.254)	Prec@5 80.500 (77.788)
Epoch: [35][6060/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.0020 (2.0495)	Prec@1 44.000 (47.256)	Prec@5 81.000 (77.790)
Epoch: [35][6070/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.2803 (2.0496)	Prec@1 43.000 (47.255)	Prec@5 74.000 (77.789)
Epoch: [35][6080/9018]	Time 0.737 (0.614)	Data 0.001 (0.001)	Loss 2.2619 (2.0495)	Prec@1 41.000 (47.254)	Prec@5 74.500 (77.791)
Epoch: [35][6090/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.1799 (2.0496)	Prec@1 41.000 (47.254)	Prec@5 78.000 (77.792)
Epoch: [35][6100/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.1614 (2.0495)	Prec@1 44.500 (47.254)	Prec@5 75.000 (77.792)
Epoch: [35][6110/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.1898 (2.0496)	Prec@1 45.000 (47.254)	Prec@5 76.000 (77.793)
Epoch: [35][6120/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0413 (2.0496)	Prec@1 49.000 (47.255)	Prec@5 77.000 (77.792)
Epoch: [35][6130/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1137 (2.0496)	Prec@1 46.500 (47.254)	Prec@5 74.500 (77.792)
Epoch: [35][6140/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.0847 (2.0496)	Prec@1 43.500 (47.252)	Prec@5 80.000 (77.794)
Epoch: [35][6150/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.2071 (2.0497)	Prec@1 45.000 (47.249)	Prec@5 74.000 (77.793)
Epoch: [35][6160/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.9318 (2.0497)	Prec@1 49.000 (47.248)	Prec@5 78.500 (77.793)
Epoch: [35][6170/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 2.1934 (2.0497)	Prec@1 45.000 (47.248)	Prec@5 77.000 (77.793)
Epoch: [35][6180/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.7387 (2.0497)	Prec@1 51.500 (47.247)	Prec@5 85.500 (77.795)
Epoch: [35][6190/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.0309 (2.0497)	Prec@1 43.500 (47.244)	Prec@5 78.500 (77.792)
Epoch: [35][6200/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0961 (2.0497)	Prec@1 51.000 (47.246)	Prec@5 77.500 (77.792)
Epoch: [35][6210/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.0450 (2.0497)	Prec@1 48.000 (47.249)	Prec@5 76.000 (77.790)
Epoch: [35][6220/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.1997 (2.0497)	Prec@1 49.000 (47.252)	Prec@5 76.000 (77.791)
Epoch: [35][6230/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.3335 (2.0497)	Prec@1 42.000 (47.253)	Prec@5 73.500 (77.792)
Epoch: [35][6240/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9545 (2.0497)	Prec@1 48.000 (47.253)	Prec@5 81.000 (77.791)
Epoch: [35][6250/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 2.2301 (2.0497)	Prec@1 45.000 (47.253)	Prec@5 73.000 (77.792)
Epoch: [35][6260/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1215 (2.0497)	Prec@1 48.500 (47.252)	Prec@5 78.500 (77.792)
Epoch: [35][6270/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.3198 (2.0499)	Prec@1 46.000 (47.249)	Prec@5 70.500 (77.787)
Epoch: [35][6280/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0165 (2.0498)	Prec@1 48.500 (47.253)	Prec@5 78.000 (77.789)
Epoch: [35][6290/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.1661 (2.0498)	Prec@1 45.500 (47.252)	Prec@5 79.500 (77.790)
Epoch: [35][6300/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 1.9791 (2.0498)	Prec@1 44.500 (47.252)	Prec@5 80.500 (77.791)
Epoch: [35][6310/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.1465 (2.0499)	Prec@1 45.000 (47.249)	Prec@5 77.500 (77.789)
Epoch: [35][6320/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.1151 (2.0499)	Prec@1 45.500 (47.248)	Prec@5 80.000 (77.789)
Epoch: [35][6330/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.1652 (2.0500)	Prec@1 43.500 (47.246)	Prec@5 75.000 (77.787)
Epoch: [35][6340/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1782 (2.0500)	Prec@1 48.000 (47.246)	Prec@5 73.000 (77.787)
Epoch: [35][6350/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.2063 (2.0501)	Prec@1 42.500 (47.245)	Prec@5 77.000 (77.787)
Epoch: [35][6360/9018]	Time 0.735 (0.614)	Data 0.001 (0.001)	Loss 1.9717 (2.0500)	Prec@1 46.000 (47.247)	Prec@5 82.000 (77.788)
Epoch: [35][6370/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 1.8461 (2.0499)	Prec@1 52.500 (47.248)	Prec@5 81.000 (77.791)
Epoch: [35][6380/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.2180 (2.0500)	Prec@1 46.500 (47.247)	Prec@5 75.500 (77.790)
Epoch: [35][6390/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9561 (2.0499)	Prec@1 48.000 (47.248)	Prec@5 80.000 (77.791)
Epoch: [35][6400/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1783 (2.0499)	Prec@1 43.000 (47.248)	Prec@5 75.500 (77.792)
Epoch: [35][6410/9018]	Time 0.752 (0.614)	Data 0.001 (0.001)	Loss 2.1711 (2.0499)	Prec@1 44.000 (47.249)	Prec@5 76.000 (77.792)
Epoch: [35][6420/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.7205 (2.0499)	Prec@1 57.000 (47.250)	Prec@5 87.000 (77.793)
Epoch: [35][6430/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0892 (2.0500)	Prec@1 48.000 (47.249)	Prec@5 75.500 (77.791)
Epoch: [35][6440/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.0282 (2.0501)	Prec@1 49.500 (47.247)	Prec@5 79.000 (77.790)
Epoch: [35][6450/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.2287 (2.0501)	Prec@1 44.000 (47.247)	Prec@5 75.500 (77.791)
Epoch: [35][6460/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.0224 (2.0502)	Prec@1 50.000 (47.246)	Prec@5 77.000 (77.787)
Epoch: [35][6470/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 1.9829 (2.0503)	Prec@1 48.000 (47.246)	Prec@5 83.000 (77.787)
Epoch: [35][6480/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 1.8293 (2.0502)	Prec@1 55.500 (47.248)	Prec@5 83.500 (77.788)
Epoch: [35][6490/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1220 (2.0502)	Prec@1 45.000 (47.249)	Prec@5 81.000 (77.788)
Epoch: [35][6500/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0392 (2.0502)	Prec@1 44.500 (47.251)	Prec@5 76.500 (77.788)
Epoch: [35][6510/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0293 (2.0502)	Prec@1 46.000 (47.248)	Prec@5 77.500 (77.788)
Epoch: [35][6520/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.1953 (2.0502)	Prec@1 46.000 (47.251)	Prec@5 79.500 (77.788)
Epoch: [35][6530/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9505 (2.0502)	Prec@1 54.000 (47.250)	Prec@5 76.500 (77.786)
Epoch: [35][6540/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9735 (2.0502)	Prec@1 50.000 (47.249)	Prec@5 76.500 (77.786)
Epoch: [35][6550/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.1610 (2.0503)	Prec@1 44.000 (47.250)	Prec@5 75.000 (77.785)
Epoch: [35][6560/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.8876 (2.0502)	Prec@1 51.000 (47.252)	Prec@5 81.000 (77.787)
Epoch: [35][6570/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.8916 (2.0502)	Prec@1 49.500 (47.252)	Prec@5 83.000 (77.787)
Epoch: [35][6580/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.3011 (2.0502)	Prec@1 42.500 (47.252)	Prec@5 75.000 (77.788)
Epoch: [35][6590/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 2.1448 (2.0502)	Prec@1 44.000 (47.250)	Prec@5 78.500 (77.787)
Epoch: [35][6600/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.2745 (2.0503)	Prec@1 43.000 (47.247)	Prec@5 75.500 (77.784)
Epoch: [35][6610/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0103 (2.0503)	Prec@1 49.000 (47.247)	Prec@5 78.000 (77.783)
Epoch: [35][6620/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 2.1564 (2.0504)	Prec@1 48.500 (47.246)	Prec@5 74.500 (77.782)
Epoch: [35][6630/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.3050 (2.0504)	Prec@1 46.000 (47.247)	Prec@5 71.500 (77.782)
Epoch: [35][6640/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.3053 (2.0504)	Prec@1 40.000 (47.247)	Prec@5 74.000 (77.782)
Epoch: [35][6650/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0293 (2.0505)	Prec@1 52.000 (47.248)	Prec@5 76.000 (77.781)
Epoch: [35][6660/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9257 (2.0503)	Prec@1 49.500 (47.253)	Prec@5 78.000 (77.783)
Epoch: [35][6670/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.0926 (2.0503)	Prec@1 52.000 (47.255)	Prec@5 76.500 (77.783)
Epoch: [35][6680/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.0724 (2.0503)	Prec@1 49.000 (47.256)	Prec@5 77.000 (77.785)
Epoch: [35][6690/9018]	Time 0.725 (0.614)	Data 0.001 (0.001)	Loss 2.2372 (2.0503)	Prec@1 46.000 (47.258)	Prec@5 74.000 (77.783)
Epoch: [35][6700/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.8454 (2.0503)	Prec@1 52.000 (47.258)	Prec@5 80.500 (77.782)
Epoch: [35][6710/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.8836 (2.0503)	Prec@1 50.000 (47.259)	Prec@5 81.500 (77.783)
Epoch: [35][6720/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 2.1997 (2.0504)	Prec@1 47.500 (47.259)	Prec@5 80.500 (77.783)
Epoch: [35][6730/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1529 (2.0503)	Prec@1 45.500 (47.259)	Prec@5 77.000 (77.785)
Epoch: [35][6740/9018]	Time 0.716 (0.614)	Data 0.001 (0.001)	Loss 2.1620 (2.0503)	Prec@1 46.000 (47.258)	Prec@5 80.500 (77.788)
Epoch: [35][6750/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.2060 (2.0504)	Prec@1 43.000 (47.256)	Prec@5 72.500 (77.786)
Epoch: [35][6760/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1367 (2.0504)	Prec@1 44.000 (47.255)	Prec@5 78.000 (77.786)
Epoch: [35][6770/9018]	Time 0.617 (0.614)	Data 0.001 (0.001)	Loss 1.9898 (2.0504)	Prec@1 47.500 (47.253)	Prec@5 77.000 (77.785)
Epoch: [35][6780/9018]	Time 0.587 (0.614)	Data 0.001 (0.001)	Loss 2.2843 (2.0504)	Prec@1 45.000 (47.253)	Prec@5 74.500 (77.785)
Epoch: [35][6790/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9152 (2.0504)	Prec@1 56.000 (47.255)	Prec@5 78.500 (77.784)
Epoch: [35][6800/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1758 (2.0504)	Prec@1 43.000 (47.255)	Prec@5 74.000 (77.785)
Epoch: [35][6810/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.1546 (2.0503)	Prec@1 46.500 (47.257)	Prec@5 75.000 (77.785)
Epoch: [35][6820/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.1567 (2.0503)	Prec@1 44.000 (47.258)	Prec@5 78.000 (77.787)
Epoch: [35][6830/9018]	Time 0.635 (0.614)	Data 0.001 (0.001)	Loss 1.9605 (2.0503)	Prec@1 47.000 (47.258)	Prec@5 80.500 (77.786)
Epoch: [35][6840/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 2.0661 (2.0504)	Prec@1 49.500 (47.259)	Prec@5 77.000 (77.783)
Epoch: [35][6850/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.2215 (2.0505)	Prec@1 43.000 (47.258)	Prec@5 72.500 (77.782)
Epoch: [35][6860/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.1607 (2.0506)	Prec@1 44.500 (47.256)	Prec@5 77.500 (77.779)
Epoch: [35][6870/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.2929 (2.0506)	Prec@1 45.500 (47.256)	Prec@5 72.500 (77.780)
Epoch: [35][6880/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9607 (2.0506)	Prec@1 42.500 (47.253)	Prec@5 78.500 (77.779)
Epoch: [35][6890/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0326 (2.0507)	Prec@1 48.500 (47.253)	Prec@5 79.000 (77.779)
Epoch: [35][6900/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 2.0537 (2.0507)	Prec@1 47.500 (47.252)	Prec@5 75.500 (77.777)
Epoch: [35][6910/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.1455 (2.0508)	Prec@1 47.500 (47.251)	Prec@5 79.000 (77.777)
Epoch: [35][6920/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 1.9726 (2.0508)	Prec@1 49.500 (47.253)	Prec@5 79.000 (77.777)
Epoch: [35][6930/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0147 (2.0508)	Prec@1 47.500 (47.253)	Prec@5 78.000 (77.776)
Epoch: [35][6940/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 1.8392 (2.0508)	Prec@1 52.500 (47.253)	Prec@5 85.500 (77.778)
Epoch: [35][6950/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.0326 (2.0508)	Prec@1 46.000 (47.251)	Prec@5 76.500 (77.775)
Epoch: [35][6960/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.2690 (2.0509)	Prec@1 44.000 (47.251)	Prec@5 75.500 (77.773)
Epoch: [35][6970/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.1544 (2.0509)	Prec@1 42.500 (47.250)	Prec@5 77.000 (77.773)
Epoch: [35][6980/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 2.1815 (2.0510)	Prec@1 44.000 (47.248)	Prec@5 74.500 (77.770)
Epoch: [35][6990/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.2947 (2.0510)	Prec@1 42.500 (47.247)	Prec@5 73.000 (77.770)
Epoch: [35][7000/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 1.9741 (2.0511)	Prec@1 51.000 (47.247)	Prec@5 79.500 (77.769)
Epoch: [35][7010/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 1.8353 (2.0510)	Prec@1 55.000 (47.247)	Prec@5 80.500 (77.770)
Epoch: [35][7020/9018]	Time 0.703 (0.614)	Data 0.001 (0.001)	Loss 2.0102 (2.0509)	Prec@1 47.000 (47.249)	Prec@5 76.500 (77.771)
Epoch: [35][7030/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.2202 (2.0509)	Prec@1 41.000 (47.249)	Prec@5 76.000 (77.771)
Epoch: [35][7040/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 1.9384 (2.0510)	Prec@1 47.500 (47.247)	Prec@5 79.500 (77.769)
Epoch: [35][7050/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1507 (2.0509)	Prec@1 42.000 (47.247)	Prec@5 76.500 (77.769)
Epoch: [35][7060/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1948 (2.0510)	Prec@1 41.500 (47.244)	Prec@5 77.000 (77.768)
Epoch: [35][7070/9018]	Time 0.752 (0.614)	Data 0.001 (0.001)	Loss 2.0374 (2.0510)	Prec@1 41.000 (47.242)	Prec@5 80.000 (77.768)
Epoch: [35][7080/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.1155 (2.0510)	Prec@1 49.000 (47.241)	Prec@5 76.500 (77.769)
Epoch: [35][7090/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1697 (2.0511)	Prec@1 47.000 (47.240)	Prec@5 74.500 (77.766)
Epoch: [35][7100/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9576 (2.0510)	Prec@1 50.000 (47.242)	Prec@5 80.000 (77.767)
Epoch: [35][7110/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.0968 (2.0510)	Prec@1 49.500 (47.243)	Prec@5 76.500 (77.766)
Epoch: [35][7120/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0215 (2.0510)	Prec@1 46.500 (47.245)	Prec@5 79.500 (77.766)
Epoch: [35][7130/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1528 (2.0511)	Prec@1 40.000 (47.242)	Prec@5 76.000 (77.767)
Epoch: [35][7140/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.9395 (2.0511)	Prec@1 52.000 (47.242)	Prec@5 77.000 (77.767)
Epoch: [35][7150/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1905 (2.0511)	Prec@1 42.000 (47.240)	Prec@5 78.500 (77.766)
Epoch: [35][7160/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.9011 (2.0512)	Prec@1 51.500 (47.239)	Prec@5 77.000 (77.766)
Epoch: [35][7170/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9831 (2.0512)	Prec@1 45.500 (47.240)	Prec@5 79.500 (77.764)
Epoch: [35][7180/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.0730 (2.0513)	Prec@1 48.500 (47.239)	Prec@5 79.000 (77.764)
Epoch: [35][7190/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9322 (2.0513)	Prec@1 51.000 (47.238)	Prec@5 79.500 (77.764)
Epoch: [35][7200/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.2268 (2.0514)	Prec@1 41.500 (47.235)	Prec@5 78.500 (77.763)
Epoch: [35][7210/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.9665 (2.0514)	Prec@1 48.000 (47.236)	Prec@5 81.000 (77.761)
Epoch: [35][7220/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.2347 (2.0514)	Prec@1 45.000 (47.237)	Prec@5 73.000 (77.761)
Epoch: [35][7230/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0792 (2.0514)	Prec@1 48.000 (47.237)	Prec@5 75.000 (77.761)
Epoch: [35][7240/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9497 (2.0514)	Prec@1 45.500 (47.236)	Prec@5 77.500 (77.760)
Epoch: [35][7250/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.2453 (2.0514)	Prec@1 42.000 (47.234)	Prec@5 75.500 (77.761)
Epoch: [35][7260/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.9057 (2.0514)	Prec@1 50.000 (47.236)	Prec@5 80.500 (77.762)
Epoch: [35][7270/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.9698 (2.0513)	Prec@1 45.500 (47.236)	Prec@5 77.500 (77.763)
Epoch: [35][7280/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0300 (2.0513)	Prec@1 47.000 (47.236)	Prec@5 78.000 (77.763)
Epoch: [35][7290/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9443 (2.0513)	Prec@1 46.500 (47.235)	Prec@5 82.500 (77.764)
Epoch: [35][7300/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0855 (2.0514)	Prec@1 42.500 (47.234)	Prec@5 76.500 (77.761)
Epoch: [35][7310/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.1650 (2.0515)	Prec@1 47.000 (47.233)	Prec@5 77.500 (77.762)
Epoch: [35][7320/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.2323 (2.0517)	Prec@1 46.000 (47.230)	Prec@5 73.500 (77.757)
Epoch: [35][7330/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0626 (2.0517)	Prec@1 48.000 (47.231)	Prec@5 75.500 (77.757)
Epoch: [35][7340/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0880 (2.0517)	Prec@1 46.000 (47.231)	Prec@5 78.500 (77.757)
Epoch: [35][7350/9018]	Time 0.713 (0.614)	Data 0.001 (0.001)	Loss 2.0738 (2.0517)	Prec@1 45.500 (47.231)	Prec@5 78.000 (77.756)
Epoch: [35][7360/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0488 (2.0517)	Prec@1 42.000 (47.230)	Prec@5 77.000 (77.755)
Epoch: [35][7370/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.0322 (2.0518)	Prec@1 44.500 (47.229)	Prec@5 81.000 (77.755)
Epoch: [35][7380/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9396 (2.0518)	Prec@1 50.500 (47.227)	Prec@5 81.000 (77.757)
Epoch: [35][7390/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 1.7793 (2.0518)	Prec@1 56.500 (47.228)	Prec@5 81.000 (77.756)
Epoch: [35][7400/9018]	Time 0.723 (0.614)	Data 0.001 (0.001)	Loss 2.2611 (2.0518)	Prec@1 50.000 (47.227)	Prec@5 76.000 (77.756)
Epoch: [35][7410/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0828 (2.0518)	Prec@1 48.500 (47.226)	Prec@5 76.000 (77.756)
Epoch: [35][7420/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1661 (2.0518)	Prec@1 43.500 (47.225)	Prec@5 74.000 (77.755)
Epoch: [35][7430/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0450 (2.0518)	Prec@1 44.000 (47.225)	Prec@5 75.500 (77.755)
Epoch: [35][7440/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.1565 (2.0518)	Prec@1 48.000 (47.225)	Prec@5 73.000 (77.754)
Epoch: [35][7450/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0965 (2.0518)	Prec@1 45.500 (47.225)	Prec@5 74.500 (77.753)
Epoch: [35][7460/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0198 (2.0518)	Prec@1 48.500 (47.223)	Prec@5 78.000 (77.752)
Epoch: [35][7470/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.8001 (2.0519)	Prec@1 49.500 (47.223)	Prec@5 85.500 (77.752)
Epoch: [35][7480/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 2.0115 (2.0519)	Prec@1 51.000 (47.223)	Prec@5 78.500 (77.752)
Epoch: [35][7490/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0141 (2.0519)	Prec@1 45.000 (47.223)	Prec@5 80.500 (77.752)
Epoch: [35][7500/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.9775 (2.0519)	Prec@1 48.000 (47.223)	Prec@5 76.000 (77.753)
Epoch: [35][7510/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.0361 (2.0520)	Prec@1 45.500 (47.221)	Prec@5 77.500 (77.751)
Epoch: [35][7520/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0848 (2.0520)	Prec@1 48.000 (47.218)	Prec@5 80.000 (77.752)
Epoch: [35][7530/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.9163 (2.0520)	Prec@1 51.000 (47.220)	Prec@5 80.500 (77.753)
Epoch: [35][7540/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1425 (2.0520)	Prec@1 49.000 (47.222)	Prec@5 76.500 (77.753)
Epoch: [35][7550/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1834 (2.0520)	Prec@1 47.500 (47.222)	Prec@5 77.500 (77.754)
Epoch: [35][7560/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.0550 (2.0520)	Prec@1 42.000 (47.221)	Prec@5 78.000 (77.754)
Epoch: [35][7570/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.8810 (2.0521)	Prec@1 50.500 (47.218)	Prec@5 82.000 (77.751)
Epoch: [35][7580/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.1568 (2.0521)	Prec@1 48.000 (47.220)	Prec@5 76.500 (77.753)
Epoch: [35][7590/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.7736 (2.0520)	Prec@1 54.500 (47.220)	Prec@5 83.000 (77.753)
Epoch: [35][7600/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0959 (2.0520)	Prec@1 47.500 (47.222)	Prec@5 73.500 (77.753)
Epoch: [35][7610/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.9375 (2.0520)	Prec@1 48.500 (47.221)	Prec@5 81.500 (77.754)
Epoch: [35][7620/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.9677 (2.0520)	Prec@1 48.000 (47.222)	Prec@5 80.000 (77.755)
Epoch: [35][7630/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.8528 (2.0519)	Prec@1 54.000 (47.222)	Prec@5 80.000 (77.756)
Epoch: [35][7640/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.2173 (2.0520)	Prec@1 38.000 (47.220)	Prec@5 74.000 (77.755)
Epoch: [35][7650/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.2092 (2.0520)	Prec@1 41.500 (47.217)	Prec@5 74.500 (77.755)
Epoch: [35][7660/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.3952 (2.0521)	Prec@1 41.000 (47.213)	Prec@5 73.500 (77.754)
Epoch: [35][7670/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0335 (2.0521)	Prec@1 48.000 (47.214)	Prec@5 76.000 (77.754)
Epoch: [35][7680/9018]	Time 0.713 (0.614)	Data 0.001 (0.001)	Loss 2.1183 (2.0521)	Prec@1 44.500 (47.213)	Prec@5 75.000 (77.752)
Epoch: [35][7690/9018]	Time 0.610 (0.614)	Data 0.002 (0.001)	Loss 2.0073 (2.0521)	Prec@1 52.500 (47.216)	Prec@5 80.000 (77.752)
Epoch: [35][7700/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9576 (2.0521)	Prec@1 50.500 (47.218)	Prec@5 82.000 (77.753)
Epoch: [35][7710/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.2184 (2.0522)	Prec@1 42.000 (47.218)	Prec@5 75.500 (77.754)
Epoch: [35][7720/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.2167 (2.0523)	Prec@1 43.500 (47.215)	Prec@5 77.000 (77.751)
Epoch: [35][7730/9018]	Time 0.723 (0.614)	Data 0.001 (0.001)	Loss 1.9896 (2.0524)	Prec@1 48.500 (47.216)	Prec@5 79.500 (77.750)
Epoch: [35][7740/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.1039 (2.0524)	Prec@1 45.000 (47.215)	Prec@5 76.500 (77.750)
Epoch: [35][7750/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0341 (2.0525)	Prec@1 53.500 (47.213)	Prec@5 79.500 (77.749)
Epoch: [35][7760/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.3700 (2.0525)	Prec@1 42.500 (47.211)	Prec@5 72.000 (77.747)
Epoch: [35][7770/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.2257 (2.0526)	Prec@1 44.500 (47.210)	Prec@5 73.500 (77.746)
Epoch: [35][7780/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.4075 (2.0527)	Prec@1 41.500 (47.209)	Prec@5 69.000 (77.744)
Epoch: [35][7790/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.3070 (2.0527)	Prec@1 39.500 (47.206)	Prec@5 74.000 (77.743)
Epoch: [35][7800/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.8924 (2.0526)	Prec@1 52.000 (47.208)	Prec@5 80.500 (77.745)
Epoch: [35][7810/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 1.9807 (2.0527)	Prec@1 47.000 (47.206)	Prec@5 82.500 (77.743)
Epoch: [35][7820/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1668 (2.0527)	Prec@1 44.000 (47.205)	Prec@5 76.000 (77.745)
Epoch: [35][7830/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.1502 (2.0528)	Prec@1 45.000 (47.202)	Prec@5 76.500 (77.744)
Epoch: [35][7840/9018]	Time 0.589 (0.614)	Data 0.001 (0.001)	Loss 2.0201 (2.0528)	Prec@1 43.000 (47.201)	Prec@5 80.500 (77.745)
Epoch: [35][7850/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1416 (2.0529)	Prec@1 45.500 (47.198)	Prec@5 77.500 (77.744)
Epoch: [35][7860/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.0168 (2.0529)	Prec@1 48.000 (47.197)	Prec@5 78.500 (77.745)
Epoch: [35][7870/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.2967 (2.0529)	Prec@1 41.500 (47.196)	Prec@5 71.000 (77.744)
Epoch: [35][7880/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1103 (2.0530)	Prec@1 41.000 (47.197)	Prec@5 75.000 (77.743)
Epoch: [35][7890/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0954 (2.0530)	Prec@1 50.500 (47.196)	Prec@5 78.000 (77.743)
Epoch: [35][7900/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.9390 (2.0530)	Prec@1 48.500 (47.196)	Prec@5 81.000 (77.741)
Epoch: [35][7910/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0505 (2.0531)	Prec@1 49.000 (47.197)	Prec@5 79.000 (77.740)
Epoch: [35][7920/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1491 (2.0531)	Prec@1 37.000 (47.196)	Prec@5 76.000 (77.740)
Epoch: [35][7930/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 1.9653 (2.0530)	Prec@1 47.500 (47.198)	Prec@5 78.000 (77.741)
Epoch: [35][7940/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1291 (2.0531)	Prec@1 46.000 (47.196)	Prec@5 77.500 (77.739)
Epoch: [35][7950/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.9178 (2.0531)	Prec@1 51.000 (47.197)	Prec@5 78.500 (77.737)
Epoch: [35][7960/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0986 (2.0532)	Prec@1 44.500 (47.195)	Prec@5 77.500 (77.735)
Epoch: [35][7970/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.2166 (2.0533)	Prec@1 44.500 (47.195)	Prec@5 71.500 (77.735)
Epoch: [35][7980/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.2615 (2.0533)	Prec@1 46.000 (47.194)	Prec@5 72.500 (77.735)
Epoch: [35][7990/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.0337 (2.0532)	Prec@1 49.000 (47.197)	Prec@5 78.000 (77.735)
Epoch: [35][8000/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1912 (2.0532)	Prec@1 45.000 (47.195)	Prec@5 73.000 (77.735)
Epoch: [35][8010/9018]	Time 0.713 (0.614)	Data 0.001 (0.001)	Loss 2.1276 (2.0533)	Prec@1 43.000 (47.194)	Prec@5 77.000 (77.735)
Epoch: [35][8020/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9022 (2.0533)	Prec@1 49.000 (47.196)	Prec@5 82.500 (77.735)
Epoch: [35][8030/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.2709 (2.0533)	Prec@1 45.500 (47.199)	Prec@5 72.000 (77.735)
Epoch: [35][8040/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 2.2502 (2.0532)	Prec@1 43.500 (47.201)	Prec@5 75.000 (77.735)
Epoch: [35][8050/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.1483 (2.0532)	Prec@1 42.500 (47.202)	Prec@5 75.500 (77.735)
Epoch: [35][8060/9018]	Time 0.741 (0.614)	Data 0.001 (0.001)	Loss 2.0796 (2.0532)	Prec@1 44.500 (47.203)	Prec@5 75.500 (77.736)
Epoch: [35][8070/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0955 (2.0531)	Prec@1 47.500 (47.205)	Prec@5 76.500 (77.737)
Epoch: [35][8080/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.4218 (2.0532)	Prec@1 43.500 (47.206)	Prec@5 69.000 (77.735)
Epoch: [35][8090/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1759 (2.0532)	Prec@1 46.000 (47.207)	Prec@5 74.000 (77.736)
Epoch: [35][8100/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.2023 (2.0532)	Prec@1 44.500 (47.207)	Prec@5 75.500 (77.735)
Epoch: [35][8110/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 1.7215 (2.0532)	Prec@1 52.000 (47.207)	Prec@5 85.000 (77.735)
Epoch: [35][8120/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 1.9201 (2.0532)	Prec@1 48.500 (47.206)	Prec@5 81.000 (77.734)
Epoch: [35][8130/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0334 (2.0532)	Prec@1 49.500 (47.205)	Prec@5 80.500 (77.734)
Epoch: [35][8140/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9066 (2.0532)	Prec@1 51.500 (47.206)	Prec@5 81.000 (77.735)
Epoch: [35][8150/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.0526 (2.0532)	Prec@1 48.500 (47.207)	Prec@5 80.500 (77.734)
Epoch: [35][8160/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.1849 (2.0534)	Prec@1 44.000 (47.204)	Prec@5 72.500 (77.731)
Epoch: [35][8170/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.0689 (2.0534)	Prec@1 43.000 (47.204)	Prec@5 80.500 (77.731)
Epoch: [35][8180/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.3252 (2.0534)	Prec@1 38.000 (47.205)	Prec@5 71.500 (77.730)
Epoch: [35][8190/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.9778 (2.0534)	Prec@1 46.000 (47.204)	Prec@5 76.500 (77.730)
Epoch: [35][8200/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9415 (2.0534)	Prec@1 51.500 (47.203)	Prec@5 79.500 (77.730)
Epoch: [35][8210/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9998 (2.0534)	Prec@1 47.500 (47.203)	Prec@5 78.000 (77.730)
Epoch: [35][8220/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.2555 (2.0534)	Prec@1 41.500 (47.203)	Prec@5 77.000 (77.729)
Epoch: [35][8230/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.2414 (2.0535)	Prec@1 44.000 (47.202)	Prec@5 74.500 (77.727)
Epoch: [35][8240/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0463 (2.0536)	Prec@1 52.000 (47.203)	Prec@5 79.500 (77.726)
Epoch: [35][8250/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0515 (2.0535)	Prec@1 47.000 (47.204)	Prec@5 77.000 (77.729)
Epoch: [35][8260/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0291 (2.0536)	Prec@1 47.000 (47.201)	Prec@5 77.000 (77.728)
Epoch: [35][8270/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0912 (2.0536)	Prec@1 47.500 (47.200)	Prec@5 77.000 (77.727)
Epoch: [35][8280/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.2766 (2.0537)	Prec@1 41.000 (47.198)	Prec@5 71.000 (77.726)
Epoch: [35][8290/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 1.9226 (2.0537)	Prec@1 51.500 (47.197)	Prec@5 82.000 (77.725)
Epoch: [35][8300/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.3032 (2.0538)	Prec@1 41.500 (47.196)	Prec@5 71.000 (77.721)
Epoch: [35][8310/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.8822 (2.0538)	Prec@1 55.000 (47.196)	Prec@5 80.500 (77.721)
Epoch: [35][8320/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.9422 (2.0538)	Prec@1 48.000 (47.195)	Prec@5 78.500 (77.720)
Epoch: [35][8330/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 1.8662 (2.0538)	Prec@1 49.500 (47.194)	Prec@5 82.500 (77.721)
Epoch: [35][8340/9018]	Time 0.705 (0.614)	Data 0.001 (0.001)	Loss 1.9409 (2.0538)	Prec@1 48.500 (47.196)	Prec@5 76.500 (77.721)
Epoch: [35][8350/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9376 (2.0538)	Prec@1 50.000 (47.195)	Prec@5 82.500 (77.720)
Epoch: [35][8360/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.2597 (2.0538)	Prec@1 42.000 (47.196)	Prec@5 73.000 (77.722)
Epoch: [35][8370/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1573 (2.0538)	Prec@1 41.500 (47.197)	Prec@5 74.500 (77.721)
Epoch: [35][8380/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 1.9860 (2.0538)	Prec@1 46.000 (47.196)	Prec@5 79.500 (77.722)
Epoch: [35][8390/9018]	Time 0.718 (0.614)	Data 0.001 (0.001)	Loss 1.9751 (2.0538)	Prec@1 48.000 (47.195)	Prec@5 78.500 (77.721)
Epoch: [35][8400/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9830 (2.0538)	Prec@1 49.500 (47.197)	Prec@5 80.000 (77.723)
Epoch: [35][8410/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.1935 (2.0537)	Prec@1 44.000 (47.198)	Prec@5 77.000 (77.724)
Epoch: [35][8420/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.7024 (2.0538)	Prec@1 54.500 (47.198)	Prec@5 81.000 (77.723)
Epoch: [35][8430/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.2376 (2.0538)	Prec@1 42.500 (47.197)	Prec@5 77.000 (77.724)
Epoch: [35][8440/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.1872 (2.0537)	Prec@1 43.000 (47.197)	Prec@5 79.500 (77.726)
Epoch: [35][8450/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0629 (2.0537)	Prec@1 49.500 (47.198)	Prec@5 74.500 (77.725)
Epoch: [35][8460/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 1.7743 (2.0536)	Prec@1 50.000 (47.200)	Prec@5 84.500 (77.726)
Epoch: [35][8470/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0913 (2.0536)	Prec@1 44.500 (47.198)	Prec@5 80.500 (77.727)
Epoch: [35][8480/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.9141 (2.0536)	Prec@1 49.000 (47.200)	Prec@5 82.000 (77.728)
Epoch: [35][8490/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.3495 (2.0536)	Prec@1 40.500 (47.199)	Prec@5 73.000 (77.727)
Epoch: [35][8500/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.2835 (2.0536)	Prec@1 49.500 (47.202)	Prec@5 73.500 (77.728)
Epoch: [35][8510/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.3957 (2.0536)	Prec@1 41.000 (47.201)	Prec@5 70.000 (77.726)
Epoch: [35][8520/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.1531 (2.0536)	Prec@1 45.500 (47.201)	Prec@5 74.500 (77.724)
Epoch: [35][8530/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.9011 (2.0536)	Prec@1 54.500 (47.202)	Prec@5 80.000 (77.725)
Epoch: [35][8540/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 1.8263 (2.0536)	Prec@1 52.000 (47.202)	Prec@5 82.000 (77.726)
Epoch: [35][8550/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0286 (2.0536)	Prec@1 44.500 (47.199)	Prec@5 79.000 (77.724)
Epoch: [35][8560/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.0891 (2.0536)	Prec@1 45.000 (47.201)	Prec@5 77.000 (77.724)
Epoch: [35][8570/9018]	Time 0.603 (0.613)	Data 0.003 (0.001)	Loss 1.9970 (2.0535)	Prec@1 48.000 (47.201)	Prec@5 80.500 (77.726)
Epoch: [35][8580/9018]	Time 0.616 (0.613)	Data 0.001 (0.001)	Loss 2.2024 (2.0536)	Prec@1 45.500 (47.201)	Prec@5 74.500 (77.724)
Epoch: [35][8590/9018]	Time 0.628 (0.613)	Data 0.001 (0.001)	Loss 1.9429 (2.0535)	Prec@1 48.000 (47.201)	Prec@5 80.000 (77.725)
Epoch: [35][8600/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.0528 (2.0535)	Prec@1 46.500 (47.203)	Prec@5 77.000 (77.726)
Epoch: [35][8610/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.2414 (2.0535)	Prec@1 43.000 (47.202)	Prec@5 77.500 (77.726)
Epoch: [35][8620/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 1.8459 (2.0534)	Prec@1 49.500 (47.203)	Prec@5 80.000 (77.727)
Epoch: [35][8630/9018]	Time 0.591 (0.613)	Data 0.001 (0.001)	Loss 2.0846 (2.0534)	Prec@1 55.500 (47.205)	Prec@5 77.500 (77.728)
Epoch: [35][8640/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.1713 (2.0535)	Prec@1 47.500 (47.204)	Prec@5 75.500 (77.727)
Epoch: [35][8650/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.1122 (2.0535)	Prec@1 45.500 (47.203)	Prec@5 76.500 (77.726)
Epoch: [35][8660/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.2092 (2.0535)	Prec@1 47.000 (47.201)	Prec@5 77.000 (77.726)
Epoch: [35][8670/9018]	Time 0.731 (0.613)	Data 0.001 (0.001)	Loss 1.9031 (2.0536)	Prec@1 50.500 (47.200)	Prec@5 82.000 (77.727)
Epoch: [35][8680/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 1.9156 (2.0536)	Prec@1 48.500 (47.199)	Prec@5 82.500 (77.728)
Epoch: [35][8690/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.2422 (2.0536)	Prec@1 43.500 (47.199)	Prec@5 75.500 (77.727)
Epoch: [35][8700/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.0622 (2.0536)	Prec@1 47.000 (47.198)	Prec@5 77.000 (77.726)
Epoch: [35][8710/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.0775 (2.0537)	Prec@1 45.000 (47.196)	Prec@5 79.500 (77.725)
Epoch: [35][8720/9018]	Time 0.708 (0.613)	Data 0.001 (0.001)	Loss 1.8822 (2.0536)	Prec@1 48.000 (47.195)	Prec@5 82.000 (77.725)
Epoch: [35][8730/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.0561 (2.0536)	Prec@1 54.500 (47.197)	Prec@5 80.000 (77.727)
Epoch: [35][8740/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 1.9486 (2.0537)	Prec@1 49.500 (47.196)	Prec@5 78.000 (77.724)
Epoch: [35][8750/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.1532 (2.0537)	Prec@1 42.500 (47.194)	Prec@5 76.500 (77.724)
Epoch: [35][8760/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.2328 (2.0537)	Prec@1 41.000 (47.195)	Prec@5 74.000 (77.723)
Epoch: [35][8770/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.9979 (2.0537)	Prec@1 47.000 (47.194)	Prec@5 78.500 (77.723)
Epoch: [35][8780/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 2.0148 (2.0538)	Prec@1 48.500 (47.192)	Prec@5 80.000 (77.723)
Epoch: [35][8790/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.7645 (2.0538)	Prec@1 51.000 (47.193)	Prec@5 83.500 (77.724)
Epoch: [35][8800/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.3155 (2.0538)	Prec@1 42.500 (47.193)	Prec@5 75.000 (77.723)
Epoch: [35][8810/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.9917 (2.0539)	Prec@1 45.000 (47.191)	Prec@5 76.500 (77.722)
Epoch: [35][8820/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.8596 (2.0539)	Prec@1 49.000 (47.190)	Prec@5 79.000 (77.720)
Epoch: [35][8830/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 2.0181 (2.0540)	Prec@1 51.500 (47.190)	Prec@5 80.000 (77.720)
Epoch: [35][8840/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.2041 (2.0540)	Prec@1 42.000 (47.190)	Prec@5 74.500 (77.717)
Epoch: [35][8850/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.1628 (2.0541)	Prec@1 45.000 (47.188)	Prec@5 79.000 (77.716)
Epoch: [35][8860/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 1.9469 (2.0541)	Prec@1 49.500 (47.188)	Prec@5 79.500 (77.716)
Epoch: [35][8870/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.2681 (2.0542)	Prec@1 44.500 (47.187)	Prec@5 75.000 (77.714)
Epoch: [35][8880/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 2.0437 (2.0542)	Prec@1 45.000 (47.187)	Prec@5 74.500 (77.713)
Epoch: [35][8890/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.2971 (2.0543)	Prec@1 43.500 (47.186)	Prec@5 71.500 (77.710)
Epoch: [35][8900/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.1866 (2.0543)	Prec@1 42.500 (47.184)	Prec@5 73.000 (77.710)
Epoch: [35][8910/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.4502 (2.0545)	Prec@1 39.000 (47.182)	Prec@5 75.500 (77.707)
Epoch: [35][8920/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.9936 (2.0544)	Prec@1 49.500 (47.183)	Prec@5 79.000 (77.709)
Epoch: [35][8930/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.2983 (2.0545)	Prec@1 42.500 (47.182)	Prec@5 74.000 (77.710)
Epoch: [35][8940/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 1.9666 (2.0544)	Prec@1 46.500 (47.182)	Prec@5 80.500 (77.710)
Epoch: [35][8950/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 2.0261 (2.0544)	Prec@1 51.500 (47.183)	Prec@5 78.500 (77.711)
Epoch: [35][8960/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.2546 (2.0544)	Prec@1 41.000 (47.182)	Prec@5 73.500 (77.711)
Epoch: [35][8970/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.9967 (2.0544)	Prec@1 48.000 (47.180)	Prec@5 78.000 (77.711)
Epoch: [35][8980/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.1382 (2.0545)	Prec@1 47.500 (47.179)	Prec@5 77.000 (77.711)
Epoch: [35][8990/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.1175 (2.0544)	Prec@1 43.000 (47.180)	Prec@5 76.500 (77.712)
Epoch: [35][9000/9018]	Time 0.714 (0.613)	Data 0.001 (0.001)	Loss 2.2106 (2.0544)	Prec@1 43.500 (47.180)	Prec@5 73.000 (77.712)
Epoch: [35][9010/9018]	Time 0.593 (0.613)	Data 0.000 (0.001)	Loss 1.9538 (2.0544)	Prec@1 49.000 (47.178)	Prec@5 80.000 (77.712)
Test: [0/183]	Time 1.339 (1.339)	Loss 2.5843 (2.5843)	Prec@1 35.000 (35.000)	Prec@5 70.000 (70.000)
Test: [10/183]	Time 0.186 (0.299)	Loss 1.6271 (1.7155)	Prec@1 60.000 (54.500)	Prec@5 83.500 (84.000)
Test: [20/183]	Time 0.208 (0.252)	Loss 2.0712 (1.7195)	Prec@1 46.500 (54.000)	Prec@5 81.000 (83.905)
Test: [30/183]	Time 0.189 (0.232)	Loss 2.2466 (1.7006)	Prec@1 37.000 (54.145)	Prec@5 75.500 (84.355)
Test: [40/183]	Time 0.184 (0.223)	Loss 2.7324 (1.6938)	Prec@1 28.000 (54.927)	Prec@5 69.500 (83.902)
Test: [50/183]	Time 0.188 (0.217)	Loss 1.8252 (1.6854)	Prec@1 47.500 (55.196)	Prec@5 84.000 (84.039)
Test: [60/183]	Time 0.190 (0.212)	Loss 2.4487 (1.7543)	Prec@1 38.500 (52.992)	Prec@5 72.000 (83.221)
Test: [70/183]	Time 0.194 (0.210)	Loss 1.5548 (1.7465)	Prec@1 58.500 (53.021)	Prec@5 86.000 (83.634)
Test: [80/183]	Time 0.187 (0.208)	Loss 1.5017 (1.7404)	Prec@1 55.000 (52.951)	Prec@5 91.500 (83.685)
Test: [90/183]	Time 0.191 (0.207)	Loss 2.3985 (1.7382)	Prec@1 37.500 (53.115)	Prec@5 73.000 (83.632)
Test: [100/183]	Time 0.192 (0.206)	Loss 0.8023 (1.7380)	Prec@1 75.500 (53.178)	Prec@5 94.000 (83.718)
Test: [110/183]	Time 0.189 (0.204)	Loss 0.8439 (1.7409)	Prec@1 77.000 (53.230)	Prec@5 97.000 (83.541)
Test: [120/183]	Time 0.192 (0.203)	Loss 2.2893 (1.7446)	Prec@1 39.500 (52.996)	Prec@5 72.000 (83.570)
Test: [130/183]	Time 0.183 (0.202)	Loss 3.1083 (1.7573)	Prec@1 15.500 (52.504)	Prec@5 66.000 (83.580)
Test: [140/183]	Time 0.193 (0.202)	Loss 1.5149 (1.7432)	Prec@1 58.000 (52.887)	Prec@5 87.000 (83.812)
Test: [150/183]	Time 0.189 (0.201)	Loss 0.7721 (1.7378)	Prec@1 80.000 (53.056)	Prec@5 98.000 (83.874)
Test: [160/183]	Time 0.199 (0.201)	Loss 1.5597 (1.7311)	Prec@1 58.000 (53.283)	Prec@5 85.500 (83.953)
Test: [170/183]	Time 0.184 (0.200)	Loss 2.3686 (1.7477)	Prec@1 30.000 (52.822)	Prec@5 77.500 (83.684)
Test: [180/183]	Time 0.177 (0.199)	Loss 2.1400 (1.7562)	Prec@1 40.000 (52.652)	Prec@5 80.500 (83.575)
 * Prec@1 52.622 Prec@5 83.553
Epoch: [36][0/9018]	Time 2.804 (2.804)	Data 2.189 (2.189)	Loss 2.2235 (2.2235)	Prec@1 47.000 (47.000)	Prec@5 77.000 (77.000)
Epoch: [36][10/9018]	Time 0.593 (0.800)	Data 0.001 (0.200)	Loss 1.9471 (2.0930)	Prec@1 51.500 (47.455)	Prec@5 78.500 (76.455)
Epoch: [36][20/9018]	Time 0.594 (0.711)	Data 0.001 (0.105)	Loss 1.9303 (2.0627)	Prec@1 48.500 (46.976)	Prec@5 82.000 (77.714)
Epoch: [36][30/9018]	Time 0.594 (0.675)	Data 0.001 (0.071)	Loss 2.0970 (2.0516)	Prec@1 48.500 (47.113)	Prec@5 76.500 (77.790)
Epoch: [36][40/9018]	Time 0.590 (0.659)	Data 0.001 (0.054)	Loss 2.1264 (2.0561)	Prec@1 44.500 (47.000)	Prec@5 74.500 (77.585)
Epoch: [36][50/9018]	Time 0.603 (0.651)	Data 0.001 (0.044)	Loss 2.1335 (2.0530)	Prec@1 47.000 (47.324)	Prec@5 78.000 (77.676)
Epoch: [36][60/9018]	Time 0.622 (0.644)	Data 0.001 (0.037)	Loss 1.7353 (2.0382)	Prec@1 56.500 (47.525)	Prec@5 86.500 (77.992)
Epoch: [36][70/9018]	Time 0.598 (0.639)	Data 0.001 (0.032)	Loss 2.2601 (2.0439)	Prec@1 38.500 (47.366)	Prec@5 70.500 (77.880)
Epoch: [36][80/9018]	Time 0.746 (0.636)	Data 0.001 (0.028)	Loss 2.2597 (2.0489)	Prec@1 45.000 (47.253)	Prec@5 71.500 (77.710)
Epoch: [36][90/9018]	Time 0.603 (0.633)	Data 0.001 (0.025)	Loss 1.8202 (2.0406)	Prec@1 49.500 (47.313)	Prec@5 79.000 (77.890)
Epoch: [36][100/9018]	Time 0.596 (0.630)	Data 0.001 (0.022)	Loss 2.0386 (2.0443)	Prec@1 48.000 (47.248)	Prec@5 77.000 (77.837)
Epoch: [36][110/9018]	Time 0.602 (0.629)	Data 0.001 (0.021)	Loss 2.0374 (2.0380)	Prec@1 46.000 (47.369)	Prec@5 80.000 (77.959)
Epoch: [36][120/9018]	Time 0.594 (0.627)	Data 0.001 (0.019)	Loss 1.9827 (2.0390)	Prec@1 51.500 (47.471)	Prec@5 76.000 (77.818)
Epoch: [36][130/9018]	Time 0.719 (0.626)	Data 0.001 (0.018)	Loss 1.8394 (2.0374)	Prec@1 55.000 (47.615)	Prec@5 83.500 (77.973)
Epoch: [36][140/9018]	Time 0.601 (0.625)	Data 0.001 (0.016)	Loss 2.0857 (2.0393)	Prec@1 48.000 (47.610)	Prec@5 76.500 (77.936)
Epoch: [36][150/9018]	Time 0.605 (0.624)	Data 0.001 (0.015)	Loss 2.2178 (2.0437)	Prec@1 44.500 (47.576)	Prec@5 76.000 (77.917)
Epoch: [36][160/9018]	Time 0.604 (0.623)	Data 0.001 (0.014)	Loss 2.0589 (2.0451)	Prec@1 42.500 (47.463)	Prec@5 77.500 (77.870)
Epoch: [36][170/9018]	Time 0.593 (0.622)	Data 0.001 (0.014)	Loss 2.0623 (2.0442)	Prec@1 45.500 (47.424)	Prec@5 74.000 (77.874)
Epoch: [36][180/9018]	Time 0.602 (0.621)	Data 0.001 (0.013)	Loss 1.8972 (2.0441)	Prec@1 48.500 (47.365)	Prec@5 79.500 (77.912)
Epoch: [36][190/9018]	Time 0.605 (0.620)	Data 0.001 (0.012)	Loss 2.0399 (2.0444)	Prec@1 49.500 (47.393)	Prec@5 77.000 (77.880)
Epoch: [36][200/9018]	Time 0.599 (0.620)	Data 0.001 (0.012)	Loss 2.2642 (2.0456)	Prec@1 43.500 (47.323)	Prec@5 72.000 (77.910)
Epoch: [36][210/9018]	Time 0.602 (0.619)	Data 0.001 (0.011)	Loss 1.9631 (2.0452)	Prec@1 51.000 (47.417)	Prec@5 80.000 (77.882)
Epoch: [36][220/9018]	Time 0.599 (0.619)	Data 0.001 (0.011)	Loss 1.9138 (2.0431)	Prec@1 48.500 (47.464)	Prec@5 83.500 (77.943)
Epoch: [36][230/9018]	Time 0.600 (0.619)	Data 0.001 (0.010)	Loss 2.0080 (2.0426)	Prec@1 47.000 (47.457)	Prec@5 78.000 (77.935)
Epoch: [36][240/9018]	Time 0.619 (0.618)	Data 0.001 (0.010)	Loss 1.9756 (2.0410)	Prec@1 48.500 (47.473)	Prec@5 78.000 (77.923)
Epoch: [36][250/9018]	Time 0.601 (0.619)	Data 0.001 (0.010)	Loss 2.0549 (2.0362)	Prec@1 47.500 (47.598)	Prec@5 77.000 (78.016)
Epoch: [36][260/9018]	Time 0.613 (0.618)	Data 0.001 (0.009)	Loss 2.0230 (2.0354)	Prec@1 45.500 (47.609)	Prec@5 80.000 (78.050)
Epoch: [36][270/9018]	Time 0.597 (0.618)	Data 0.001 (0.009)	Loss 1.8046 (2.0328)	Prec@1 53.500 (47.651)	Prec@5 82.500 (78.124)
Epoch: [36][280/9018]	Time 0.600 (0.617)	Data 0.001 (0.009)	Loss 2.1292 (2.0331)	Prec@1 45.000 (47.681)	Prec@5 75.500 (78.101)
Epoch: [36][290/9018]	Time 0.608 (0.617)	Data 0.001 (0.008)	Loss 2.0133 (2.0339)	Prec@1 46.000 (47.656)	Prec@5 78.500 (78.082)
Epoch: [36][300/9018]	Time 0.613 (0.617)	Data 0.001 (0.008)	Loss 2.2376 (2.0335)	Prec@1 43.000 (47.673)	Prec@5 75.500 (78.105)
Epoch: [36][310/9018]	Time 0.600 (0.616)	Data 0.001 (0.008)	Loss 1.9426 (2.0329)	Prec@1 47.500 (47.664)	Prec@5 78.500 (78.127)
Epoch: [36][320/9018]	Time 0.600 (0.616)	Data 0.001 (0.008)	Loss 2.0175 (2.0333)	Prec@1 44.500 (47.646)	Prec@5 80.500 (78.140)
Epoch: [36][330/9018]	Time 0.598 (0.616)	Data 0.001 (0.007)	Loss 2.1300 (2.0328)	Prec@1 42.500 (47.656)	Prec@5 76.000 (78.150)
Epoch: [36][340/9018]	Time 0.600 (0.616)	Data 0.001 (0.007)	Loss 1.9362 (2.0337)	Prec@1 49.000 (47.611)	Prec@5 80.000 (78.110)
Epoch: [36][350/9018]	Time 0.599 (0.616)	Data 0.001 (0.007)	Loss 2.0003 (2.0326)	Prec@1 51.500 (47.620)	Prec@5 79.000 (78.127)
Epoch: [36][360/9018]	Time 0.621 (0.615)	Data 0.001 (0.007)	Loss 2.0649 (2.0315)	Prec@1 45.000 (47.614)	Prec@5 76.500 (78.148)
Epoch: [36][370/9018]	Time 0.604 (0.615)	Data 0.001 (0.007)	Loss 1.7527 (2.0307)	Prec@1 53.000 (47.615)	Prec@5 83.000 (78.147)
Epoch: [36][380/9018]	Time 0.600 (0.615)	Data 0.001 (0.007)	Loss 2.0125 (2.0294)	Prec@1 52.500 (47.660)	Prec@5 79.500 (78.167)
Epoch: [36][390/9018]	Time 0.596 (0.615)	Data 0.001 (0.006)	Loss 2.0395 (2.0297)	Prec@1 46.500 (47.633)	Prec@5 73.500 (78.168)
Epoch: [36][400/9018]	Time 0.593 (0.615)	Data 0.001 (0.006)	Loss 1.7314 (2.0299)	Prec@1 55.500 (47.633)	Prec@5 83.500 (78.167)
Epoch: [36][410/9018]	Time 0.713 (0.615)	Data 0.001 (0.006)	Loss 2.0805 (2.0303)	Prec@1 46.500 (47.625)	Prec@5 77.000 (78.159)
Epoch: [36][420/9018]	Time 0.593 (0.615)	Data 0.001 (0.006)	Loss 1.8322 (2.0288)	Prec@1 55.000 (47.669)	Prec@5 83.500 (78.175)
Epoch: [36][430/9018]	Time 0.601 (0.614)	Data 0.001 (0.006)	Loss 1.9188 (2.0284)	Prec@1 50.500 (47.653)	Prec@5 78.000 (78.179)
Epoch: [36][440/9018]	Time 0.631 (0.614)	Data 0.001 (0.006)	Loss 1.9704 (2.0284)	Prec@1 44.500 (47.638)	Prec@5 80.000 (78.169)
Epoch: [36][450/9018]	Time 0.595 (0.614)	Data 0.001 (0.006)	Loss 2.0451 (2.0285)	Prec@1 43.500 (47.604)	Prec@5 79.500 (78.183)
Epoch: [36][460/9018]	Time 0.721 (0.614)	Data 0.001 (0.006)	Loss 1.9016 (2.0284)	Prec@1 55.500 (47.628)	Prec@5 81.000 (78.197)
Epoch: [36][470/9018]	Time 0.595 (0.614)	Data 0.001 (0.005)	Loss 2.0965 (2.0289)	Prec@1 50.000 (47.615)	Prec@5 74.500 (78.173)
Epoch: [36][480/9018]	Time 0.629 (0.614)	Data 0.001 (0.005)	Loss 1.8050 (2.0292)	Prec@1 51.000 (47.600)	Prec@5 81.500 (78.172)
Epoch: [36][490/9018]	Time 0.601 (0.614)	Data 0.001 (0.005)	Loss 1.9709 (2.0283)	Prec@1 48.500 (47.619)	Prec@5 79.000 (78.181)
Epoch: [36][500/9018]	Time 0.594 (0.613)	Data 0.001 (0.005)	Loss 1.9736 (2.0291)	Prec@1 49.000 (47.608)	Prec@5 79.000 (78.151)
Epoch: [36][510/9018]	Time 0.603 (0.613)	Data 0.001 (0.005)	Loss 2.0474 (2.0297)	Prec@1 46.000 (47.587)	Prec@5 76.500 (78.143)
Epoch: [36][520/9018]	Time 0.596 (0.613)	Data 0.001 (0.005)	Loss 2.0571 (2.0298)	Prec@1 48.500 (47.590)	Prec@5 78.000 (78.134)
Epoch: [36][530/9018]	Time 0.602 (0.613)	Data 0.001 (0.005)	Loss 2.0818 (2.0296)	Prec@1 48.500 (47.618)	Prec@5 73.000 (78.125)
Epoch: [36][540/9018]	Time 0.592 (0.613)	Data 0.001 (0.005)	Loss 1.8982 (2.0287)	Prec@1 51.000 (47.657)	Prec@5 81.000 (78.133)
Epoch: [36][550/9018]	Time 0.597 (0.613)	Data 0.001 (0.005)	Loss 2.3044 (2.0292)	Prec@1 41.000 (47.632)	Prec@5 75.000 (78.135)
Epoch: [36][560/9018]	Time 0.603 (0.613)	Data 0.001 (0.005)	Loss 2.3743 (2.0304)	Prec@1 44.000 (47.615)	Prec@5 73.500 (78.111)
Epoch: [36][570/9018]	Time 0.594 (0.613)	Data 0.001 (0.005)	Loss 2.0219 (2.0293)	Prec@1 48.000 (47.653)	Prec@5 75.500 (78.131)
Epoch: [36][580/9018]	Time 0.600 (0.613)	Data 0.001 (0.005)	Loss 2.1186 (2.0294)	Prec@1 45.000 (47.664)	Prec@5 71.500 (78.123)
Epoch: [36][590/9018]	Time 0.598 (0.612)	Data 0.001 (0.004)	Loss 1.6319 (2.0288)	Prec@1 56.500 (47.703)	Prec@5 83.500 (78.143)
Epoch: [36][600/9018]	Time 0.592 (0.612)	Data 0.001 (0.004)	Loss 2.0505 (2.0283)	Prec@1 48.500 (47.715)	Prec@5 77.500 (78.149)
Epoch: [36][610/9018]	Time 0.601 (0.612)	Data 0.001 (0.004)	Loss 1.8404 (2.0277)	Prec@1 47.500 (47.740)	Prec@5 82.500 (78.164)
Epoch: [36][620/9018]	Time 0.598 (0.612)	Data 0.001 (0.004)	Loss 1.8442 (2.0266)	Prec@1 51.000 (47.742)	Prec@5 80.500 (78.190)
Epoch: [36][630/9018]	Time 0.601 (0.612)	Data 0.001 (0.004)	Loss 2.0427 (2.0262)	Prec@1 45.500 (47.749)	Prec@5 77.500 (78.198)
Epoch: [36][640/9018]	Time 0.600 (0.612)	Data 0.001 (0.004)	Loss 1.8506 (2.0259)	Prec@1 53.000 (47.756)	Prec@5 79.000 (78.185)
Epoch: [36][650/9018]	Time 0.602 (0.612)	Data 0.001 (0.004)	Loss 2.0101 (2.0258)	Prec@1 45.500 (47.757)	Prec@5 80.500 (78.181)
Epoch: [36][660/9018]	Time 0.591 (0.612)	Data 0.001 (0.004)	Loss 2.0221 (2.0261)	Prec@1 45.500 (47.755)	Prec@5 76.500 (78.159)
Epoch: [36][670/9018]	Time 0.600 (0.612)	Data 0.001 (0.004)	Loss 2.0001 (2.0253)	Prec@1 53.000 (47.780)	Prec@5 76.500 (78.164)
Epoch: [36][680/9018]	Time 0.593 (0.612)	Data 0.001 (0.004)	Loss 2.1755 (2.0248)	Prec@1 42.000 (47.778)	Prec@5 79.500 (78.186)
Epoch: [36][690/9018]	Time 0.591 (0.612)	Data 0.001 (0.004)	Loss 1.8936 (2.0256)	Prec@1 49.500 (47.754)	Prec@5 80.000 (78.184)
Epoch: [36][700/9018]	Time 0.601 (0.612)	Data 0.001 (0.004)	Loss 2.0428 (2.0259)	Prec@1 51.000 (47.747)	Prec@5 75.500 (78.178)
Epoch: [36][710/9018]	Time 0.598 (0.612)	Data 0.001 (0.004)	Loss 1.9638 (2.0267)	Prec@1 50.500 (47.740)	Prec@5 78.000 (78.161)
Epoch: [36][720/9018]	Time 0.600 (0.612)	Data 0.001 (0.004)	Loss 2.0987 (2.0266)	Prec@1 51.000 (47.749)	Prec@5 77.000 (78.160)
Epoch: [36][730/9018]	Time 0.599 (0.612)	Data 0.001 (0.004)	Loss 2.0604 (2.0264)	Prec@1 45.000 (47.752)	Prec@5 77.500 (78.144)
Epoch: [36][740/9018]	Time 0.711 (0.612)	Data 0.001 (0.004)	Loss 2.1549 (2.0273)	Prec@1 45.500 (47.725)	Prec@5 75.000 (78.118)
Epoch: [36][750/9018]	Time 0.596 (0.612)	Data 0.001 (0.004)	Loss 1.9171 (2.0271)	Prec@1 51.500 (47.727)	Prec@5 77.000 (78.115)
Epoch: [36][760/9018]	Time 0.595 (0.612)	Data 0.001 (0.004)	Loss 2.1311 (2.0283)	Prec@1 48.500 (47.721)	Prec@5 75.000 (78.083)
Epoch: [36][770/9018]	Time 0.597 (0.611)	Data 0.001 (0.004)	Loss 2.1567 (2.0292)	Prec@1 46.000 (47.706)	Prec@5 76.500 (78.076)
Epoch: [36][780/9018]	Time 0.595 (0.611)	Data 0.001 (0.004)	Loss 2.1338 (2.0307)	Prec@1 48.000 (47.680)	Prec@5 75.000 (78.052)
Epoch: [36][790/9018]	Time 0.720 (0.611)	Data 0.001 (0.004)	Loss 1.8238 (2.0309)	Prec@1 52.500 (47.681)	Prec@5 80.000 (78.046)
Epoch: [36][800/9018]	Time 0.601 (0.611)	Data 0.001 (0.004)	Loss 2.1332 (2.0313)	Prec@1 42.000 (47.682)	Prec@5 79.000 (78.039)
Epoch: [36][810/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 1.8578 (2.0311)	Prec@1 50.500 (47.703)	Prec@5 81.500 (78.040)
Epoch: [36][820/9018]	Time 0.630 (0.611)	Data 0.001 (0.003)	Loss 2.0647 (2.0307)	Prec@1 45.000 (47.703)	Prec@5 78.500 (78.058)
Epoch: [36][830/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 1.9786 (2.0306)	Prec@1 48.500 (47.701)	Prec@5 79.000 (78.054)
Epoch: [36][840/9018]	Time 0.603 (0.611)	Data 0.001 (0.003)	Loss 2.0682 (2.0312)	Prec@1 50.000 (47.697)	Prec@5 78.500 (78.033)
Epoch: [36][850/9018]	Time 0.597 (0.611)	Data 0.001 (0.003)	Loss 2.1191 (2.0310)	Prec@1 48.500 (47.717)	Prec@5 75.500 (78.028)
Epoch: [36][860/9018]	Time 0.592 (0.611)	Data 0.001 (0.003)	Loss 2.0843 (2.0313)	Prec@1 45.500 (47.708)	Prec@5 79.500 (78.027)
Epoch: [36][870/9018]	Time 0.593 (0.611)	Data 0.001 (0.003)	Loss 2.0885 (2.0314)	Prec@1 48.000 (47.700)	Prec@5 75.500 (78.027)
Epoch: [36][880/9018]	Time 0.593 (0.611)	Data 0.001 (0.003)	Loss 1.8408 (2.0320)	Prec@1 51.000 (47.695)	Prec@5 82.000 (78.018)
Epoch: [36][890/9018]	Time 0.617 (0.611)	Data 0.001 (0.003)	Loss 2.3851 (2.0325)	Prec@1 36.000 (47.664)	Prec@5 76.000 (78.020)
Epoch: [36][900/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 2.1109 (2.0328)	Prec@1 44.000 (47.654)	Prec@5 76.000 (78.009)
Epoch: [36][910/9018]	Time 0.603 (0.611)	Data 0.001 (0.003)	Loss 2.0790 (2.0336)	Prec@1 45.500 (47.636)	Prec@5 77.500 (78.004)
Epoch: [36][920/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 2.0676 (2.0337)	Prec@1 44.000 (47.631)	Prec@5 80.000 (78.005)
Epoch: [36][930/9018]	Time 0.592 (0.611)	Data 0.001 (0.003)	Loss 2.1093 (2.0338)	Prec@1 44.500 (47.628)	Prec@5 78.500 (78.002)
Epoch: [36][940/9018]	Time 0.597 (0.611)	Data 0.001 (0.003)	Loss 1.9166 (2.0339)	Prec@1 51.000 (47.631)	Prec@5 81.500 (78.002)
Epoch: [36][950/9018]	Time 0.592 (0.611)	Data 0.001 (0.003)	Loss 2.0319 (2.0335)	Prec@1 42.500 (47.640)	Prec@5 77.500 (78.012)
Epoch: [36][960/9018]	Time 0.592 (0.611)	Data 0.001 (0.003)	Loss 2.0654 (2.0335)	Prec@1 49.500 (47.647)	Prec@5 75.000 (78.011)
Epoch: [36][970/9018]	Time 0.604 (0.611)	Data 0.001 (0.003)	Loss 1.8852 (2.0332)	Prec@1 57.000 (47.658)	Prec@5 80.500 (78.022)
Epoch: [36][980/9018]	Time 0.604 (0.611)	Data 0.001 (0.003)	Loss 1.9523 (2.0334)	Prec@1 50.000 (47.642)	Prec@5 79.500 (78.019)
Epoch: [36][990/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 1.9677 (2.0329)	Prec@1 45.500 (47.658)	Prec@5 78.500 (78.022)
Epoch: [36][1000/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 1.8180 (2.0326)	Prec@1 50.500 (47.658)	Prec@5 80.500 (78.028)
Epoch: [36][1010/9018]	Time 0.629 (0.611)	Data 0.001 (0.003)	Loss 1.9033 (2.0326)	Prec@1 51.000 (47.655)	Prec@5 81.500 (78.043)
Epoch: [36][1020/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 2.2151 (2.0328)	Prec@1 42.500 (47.655)	Prec@5 76.500 (78.032)
Epoch: [36][1030/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 2.0572 (2.0333)	Prec@1 44.500 (47.637)	Prec@5 79.000 (78.030)
Epoch: [36][1040/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 1.9519 (2.0338)	Prec@1 48.000 (47.627)	Prec@5 79.500 (78.019)
Epoch: [36][1050/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 1.9378 (2.0341)	Prec@1 47.000 (47.622)	Prec@5 79.500 (78.005)
Epoch: [36][1060/9018]	Time 0.602 (0.611)	Data 0.001 (0.003)	Loss 1.9981 (2.0339)	Prec@1 47.500 (47.630)	Prec@5 79.000 (78.010)
Epoch: [36][1070/9018]	Time 0.736 (0.611)	Data 0.001 (0.003)	Loss 1.9321 (2.0333)	Prec@1 47.500 (47.628)	Prec@5 80.000 (78.021)
Epoch: [36][1080/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 2.1083 (2.0332)	Prec@1 47.500 (47.624)	Prec@5 79.500 (78.023)
Epoch: [36][1090/9018]	Time 0.605 (0.611)	Data 0.001 (0.003)	Loss 1.8802 (2.0329)	Prec@1 50.000 (47.638)	Prec@5 79.000 (78.025)
Epoch: [36][1100/9018]	Time 0.609 (0.611)	Data 0.001 (0.003)	Loss 1.9084 (2.0332)	Prec@1 49.500 (47.631)	Prec@5 78.000 (78.013)
Epoch: [36][1110/9018]	Time 0.602 (0.611)	Data 0.001 (0.003)	Loss 2.1420 (2.0333)	Prec@1 45.500 (47.615)	Prec@5 76.000 (78.016)
Epoch: [36][1120/9018]	Time 0.719 (0.611)	Data 0.001 (0.003)	Loss 2.1846 (2.0341)	Prec@1 44.500 (47.601)	Prec@5 77.000 (78.008)
Epoch: [36][1130/9018]	Time 0.625 (0.611)	Data 0.001 (0.003)	Loss 2.1139 (2.0346)	Prec@1 45.000 (47.595)	Prec@5 75.000 (77.995)
Epoch: [36][1140/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 1.7742 (2.0339)	Prec@1 52.000 (47.603)	Prec@5 82.500 (77.997)
Epoch: [36][1150/9018]	Time 0.603 (0.611)	Data 0.001 (0.003)	Loss 2.2981 (2.0338)	Prec@1 41.000 (47.604)	Prec@5 73.000 (77.994)
Epoch: [36][1160/9018]	Time 0.611 (0.611)	Data 0.001 (0.003)	Loss 1.9959 (2.0336)	Prec@1 48.000 (47.604)	Prec@5 79.000 (77.998)
Epoch: [36][1170/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 2.2094 (2.0338)	Prec@1 43.500 (47.603)	Prec@5 74.000 (77.993)
Epoch: [36][1180/9018]	Time 0.597 (0.611)	Data 0.001 (0.003)	Loss 1.8624 (2.0334)	Prec@1 51.000 (47.616)	Prec@5 76.000 (78.007)
Epoch: [36][1190/9018]	Time 0.598 (0.611)	Data 0.001 (0.003)	Loss 2.1945 (2.0335)	Prec@1 47.000 (47.625)	Prec@5 75.000 (78.018)
Epoch: [36][1200/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 2.0328 (2.0336)	Prec@1 45.500 (47.626)	Prec@5 80.500 (78.020)
Epoch: [36][1210/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 2.0863 (2.0338)	Prec@1 47.000 (47.627)	Prec@5 78.000 (78.015)
Epoch: [36][1220/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 1.9401 (2.0338)	Prec@1 51.500 (47.623)	Prec@5 78.000 (78.007)
Epoch: [36][1230/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 1.9682 (2.0342)	Prec@1 50.500 (47.605)	Prec@5 81.500 (78.003)
Epoch: [36][1240/9018]	Time 0.595 (0.611)	Data 0.001 (0.003)	Loss 2.0050 (2.0343)	Prec@1 47.500 (47.596)	Prec@5 77.500 (77.999)
Epoch: [36][1250/9018]	Time 0.602 (0.611)	Data 0.001 (0.003)	Loss 1.9766 (2.0341)	Prec@1 51.000 (47.594)	Prec@5 81.000 (78.006)
Epoch: [36][1260/9018]	Time 0.602 (0.611)	Data 0.001 (0.003)	Loss 2.0166 (2.0350)	Prec@1 51.500 (47.582)	Prec@5 75.500 (77.995)
Epoch: [36][1270/9018]	Time 0.608 (0.611)	Data 0.001 (0.003)	Loss 1.8355 (2.0346)	Prec@1 51.000 (47.591)	Prec@5 79.000 (77.994)
Epoch: [36][1280/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.1195 (2.0347)	Prec@1 46.000 (47.595)	Prec@5 77.000 (77.999)
Epoch: [36][1290/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 1.9347 (2.0351)	Prec@1 53.000 (47.597)	Prec@5 82.000 (77.989)
Epoch: [36][1300/9018]	Time 0.628 (0.611)	Data 0.001 (0.002)	Loss 1.8590 (2.0352)	Prec@1 51.500 (47.591)	Prec@5 81.000 (77.980)
Epoch: [36][1310/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.9546 (2.0351)	Prec@1 51.000 (47.603)	Prec@5 80.500 (77.984)
Epoch: [36][1320/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 1.9813 (2.0350)	Prec@1 46.500 (47.606)	Prec@5 80.000 (77.990)
Epoch: [36][1330/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.0348 (2.0350)	Prec@1 46.000 (47.605)	Prec@5 77.500 (77.996)
Epoch: [36][1340/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.3216 (2.0353)	Prec@1 36.500 (47.595)	Prec@5 72.500 (77.991)
Epoch: [36][1350/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.7187 (2.0355)	Prec@1 53.000 (47.585)	Prec@5 86.500 (77.992)
Epoch: [36][1360/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 2.0255 (2.0359)	Prec@1 49.000 (47.576)	Prec@5 80.000 (77.986)
Epoch: [36][1370/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.5015 (2.0360)	Prec@1 45.500 (47.578)	Prec@5 68.000 (77.984)
Epoch: [36][1380/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.4147 (2.0359)	Prec@1 39.500 (47.581)	Prec@5 72.500 (77.983)
Epoch: [36][1390/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.9325 (2.0360)	Prec@1 48.500 (47.573)	Prec@5 81.500 (77.985)
Epoch: [36][1400/9018]	Time 0.734 (0.611)	Data 0.001 (0.002)	Loss 2.2307 (2.0363)	Prec@1 42.500 (47.569)	Prec@5 73.500 (77.972)
Epoch: [36][1410/9018]	Time 0.620 (0.611)	Data 0.001 (0.002)	Loss 1.8717 (2.0363)	Prec@1 48.500 (47.563)	Prec@5 80.500 (77.977)
Epoch: [36][1420/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.8808 (2.0364)	Prec@1 50.000 (47.565)	Prec@5 80.500 (77.977)
Epoch: [36][1430/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.0496 (2.0367)	Prec@1 44.500 (47.554)	Prec@5 81.000 (77.984)
Epoch: [36][1440/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.7747 (2.0367)	Prec@1 54.000 (47.552)	Prec@5 83.500 (77.984)
Epoch: [36][1450/9018]	Time 0.724 (0.611)	Data 0.001 (0.002)	Loss 2.0814 (2.0372)	Prec@1 43.000 (47.543)	Prec@5 79.000 (77.976)
Epoch: [36][1460/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.0774 (2.0371)	Prec@1 42.000 (47.544)	Prec@5 79.500 (77.975)
Epoch: [36][1470/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 1.9994 (2.0364)	Prec@1 46.000 (47.557)	Prec@5 74.500 (77.987)
Epoch: [36][1480/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 2.0130 (2.0365)	Prec@1 46.000 (47.552)	Prec@5 78.500 (77.988)
Epoch: [36][1490/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.0234 (2.0366)	Prec@1 45.000 (47.548)	Prec@5 77.500 (77.986)
Epoch: [36][1500/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0161 (2.0371)	Prec@1 46.500 (47.542)	Prec@5 76.500 (77.973)
Epoch: [36][1510/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.0944 (2.0375)	Prec@1 41.500 (47.530)	Prec@5 80.000 (77.961)
Epoch: [36][1520/9018]	Time 0.614 (0.611)	Data 0.001 (0.002)	Loss 1.9407 (2.0381)	Prec@1 50.000 (47.517)	Prec@5 81.000 (77.955)
Epoch: [36][1530/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.9170 (2.0378)	Prec@1 51.000 (47.528)	Prec@5 80.000 (77.963)
Epoch: [36][1540/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.0601 (2.0377)	Prec@1 46.000 (47.530)	Prec@5 79.500 (77.961)
Epoch: [36][1550/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.1365 (2.0379)	Prec@1 49.500 (47.529)	Prec@5 75.000 (77.952)
Epoch: [36][1560/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.1195 (2.0373)	Prec@1 43.500 (47.539)	Prec@5 80.000 (77.965)
Epoch: [36][1570/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0457 (2.0373)	Prec@1 46.500 (47.534)	Prec@5 75.000 (77.967)
Epoch: [36][1580/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.9718 (2.0376)	Prec@1 50.500 (47.527)	Prec@5 79.500 (77.958)
Epoch: [36][1590/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.0289 (2.0375)	Prec@1 45.000 (47.529)	Prec@5 77.000 (77.964)
Epoch: [36][1600/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 1.8692 (2.0372)	Prec@1 48.000 (47.540)	Prec@5 80.000 (77.967)
Epoch: [36][1610/9018]	Time 0.633 (0.611)	Data 0.001 (0.002)	Loss 2.1317 (2.0373)	Prec@1 44.500 (47.534)	Prec@5 73.500 (77.962)
Epoch: [36][1620/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 1.9815 (2.0373)	Prec@1 48.500 (47.529)	Prec@5 78.000 (77.961)
Epoch: [36][1630/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.0053 (2.0375)	Prec@1 47.000 (47.521)	Prec@5 78.500 (77.960)
Epoch: [36][1640/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.8801 (2.0376)	Prec@1 45.500 (47.513)	Prec@5 80.500 (77.959)
Epoch: [36][1650/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.9507 (2.0376)	Prec@1 46.500 (47.509)	Prec@5 79.500 (77.953)
Epoch: [36][1660/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.1103 (2.0378)	Prec@1 47.000 (47.505)	Prec@5 78.500 (77.946)
Epoch: [36][1670/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.2313 (2.0380)	Prec@1 47.000 (47.502)	Prec@5 76.000 (77.947)
Epoch: [36][1680/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.1161 (2.0381)	Prec@1 41.500 (47.495)	Prec@5 76.000 (77.945)
Epoch: [36][1690/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.1136 (2.0386)	Prec@1 52.000 (47.482)	Prec@5 77.000 (77.943)
Epoch: [36][1700/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.1114 (2.0383)	Prec@1 46.000 (47.485)	Prec@5 76.000 (77.944)
Epoch: [36][1710/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.9786 (2.0384)	Prec@1 47.500 (47.478)	Prec@5 79.000 (77.944)
Epoch: [36][1720/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.2679 (2.0386)	Prec@1 46.500 (47.481)	Prec@5 75.500 (77.942)
Epoch: [36][1730/9018]	Time 0.743 (0.611)	Data 0.001 (0.002)	Loss 2.1819 (2.0389)	Prec@1 42.500 (47.470)	Prec@5 76.500 (77.932)
Epoch: [36][1740/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.8036 (2.0390)	Prec@1 54.000 (47.463)	Prec@5 83.500 (77.934)
Epoch: [36][1750/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 1.9456 (2.0388)	Prec@1 48.000 (47.470)	Prec@5 77.500 (77.941)
Epoch: [36][1760/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.2537 (2.0387)	Prec@1 43.500 (47.466)	Prec@5 74.500 (77.941)
Epoch: [36][1770/9018]	Time 0.620 (0.611)	Data 0.001 (0.002)	Loss 2.2359 (2.0390)	Prec@1 40.500 (47.456)	Prec@5 76.000 (77.937)
Epoch: [36][1780/9018]	Time 0.722 (0.611)	Data 0.001 (0.002)	Loss 1.9824 (2.0386)	Prec@1 43.500 (47.460)	Prec@5 79.500 (77.937)
Epoch: [36][1790/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.9521 (2.0386)	Prec@1 49.500 (47.461)	Prec@5 82.000 (77.938)
Epoch: [36][1800/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0651 (2.0386)	Prec@1 51.500 (47.459)	Prec@5 74.500 (77.935)
Epoch: [36][1810/9018]	Time 0.615 (0.611)	Data 0.001 (0.002)	Loss 2.1996 (2.0384)	Prec@1 49.500 (47.465)	Prec@5 74.500 (77.933)
Epoch: [36][1820/9018]	Time 0.628 (0.611)	Data 0.001 (0.002)	Loss 2.2372 (2.0384)	Prec@1 42.500 (47.463)	Prec@5 73.500 (77.931)
Epoch: [36][1830/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.0440 (2.0383)	Prec@1 48.500 (47.462)	Prec@5 75.000 (77.932)
Epoch: [36][1840/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.0084 (2.0386)	Prec@1 44.500 (47.454)	Prec@5 79.000 (77.930)
Epoch: [36][1850/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.8638 (2.0384)	Prec@1 47.000 (47.446)	Prec@5 81.000 (77.934)
Epoch: [36][1860/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.1339 (2.0384)	Prec@1 43.500 (47.445)	Prec@5 81.000 (77.937)
Epoch: [36][1870/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 2.1041 (2.0382)	Prec@1 42.000 (47.451)	Prec@5 78.500 (77.939)
Epoch: [36][1880/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 1.9972 (2.0382)	Prec@1 48.500 (47.452)	Prec@5 80.500 (77.940)
Epoch: [36][1890/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.9993 (2.0383)	Prec@1 45.000 (47.448)	Prec@5 79.500 (77.935)
Epoch: [36][1900/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.0916 (2.0383)	Prec@1 48.500 (47.452)	Prec@5 80.000 (77.941)
Epoch: [36][1910/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.0594 (2.0383)	Prec@1 48.500 (47.454)	Prec@5 75.000 (77.935)
Epoch: [36][1920/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.3038 (2.0383)	Prec@1 42.500 (47.454)	Prec@5 73.000 (77.939)
Epoch: [36][1930/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.0707 (2.0382)	Prec@1 47.500 (47.456)	Prec@5 77.500 (77.939)
Epoch: [36][1940/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.1036 (2.0383)	Prec@1 40.000 (47.453)	Prec@5 80.000 (77.938)
Epoch: [36][1950/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.8980 (2.0384)	Prec@1 47.000 (47.448)	Prec@5 79.500 (77.935)
Epoch: [36][1960/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.9869 (2.0384)	Prec@1 45.000 (47.449)	Prec@5 77.500 (77.934)
Epoch: [36][1970/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.8842 (2.0384)	Prec@1 52.500 (47.449)	Prec@5 81.500 (77.932)
Epoch: [36][1980/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9170 (2.0384)	Prec@1 51.000 (47.444)	Prec@5 81.000 (77.935)
Epoch: [36][1990/9018]	Time 0.619 (0.611)	Data 0.001 (0.002)	Loss 2.1217 (2.0381)	Prec@1 46.000 (47.451)	Prec@5 76.000 (77.942)
Epoch: [36][2000/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.0286 (2.0379)	Prec@1 46.500 (47.459)	Prec@5 76.500 (77.944)
Epoch: [36][2010/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.3226 (2.0383)	Prec@1 42.000 (47.447)	Prec@5 73.500 (77.938)
Epoch: [36][2020/9018]	Time 0.613 (0.611)	Data 0.001 (0.002)	Loss 2.1150 (2.0384)	Prec@1 46.000 (47.449)	Prec@5 76.500 (77.936)
Epoch: [36][2030/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.0882 (2.0385)	Prec@1 50.500 (47.449)	Prec@5 77.000 (77.937)
Epoch: [36][2040/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 2.0960 (2.0387)	Prec@1 44.500 (47.449)	Prec@5 78.000 (77.935)
Epoch: [36][2050/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.8563 (2.0386)	Prec@1 52.000 (47.447)	Prec@5 79.500 (77.937)
Epoch: [36][2060/9018]	Time 0.730 (0.611)	Data 0.001 (0.002)	Loss 2.1629 (2.0390)	Prec@1 45.000 (47.434)	Prec@5 79.500 (77.935)
Epoch: [36][2070/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.0156 (2.0391)	Prec@1 47.500 (47.434)	Prec@5 79.500 (77.935)
Epoch: [36][2080/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.1378 (2.0392)	Prec@1 48.000 (47.434)	Prec@5 73.000 (77.932)
Epoch: [36][2090/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.7430 (2.0391)	Prec@1 54.000 (47.433)	Prec@5 85.000 (77.932)
Epoch: [36][2100/9018]	Time 0.632 (0.611)	Data 0.001 (0.002)	Loss 2.2425 (2.0390)	Prec@1 41.500 (47.434)	Prec@5 73.000 (77.931)
Epoch: [36][2110/9018]	Time 0.726 (0.611)	Data 0.001 (0.002)	Loss 1.9893 (2.0391)	Prec@1 45.500 (47.426)	Prec@5 76.000 (77.924)
Epoch: [36][2120/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.8611 (2.0391)	Prec@1 53.000 (47.426)	Prec@5 80.500 (77.924)
Epoch: [36][2130/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.0947 (2.0394)	Prec@1 49.500 (47.417)	Prec@5 78.000 (77.922)
Epoch: [36][2140/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.0009 (2.0392)	Prec@1 46.000 (47.417)	Prec@5 75.500 (77.923)
Epoch: [36][2150/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.0802 (2.0394)	Prec@1 44.500 (47.412)	Prec@5 80.000 (77.919)
Epoch: [36][2160/9018]	Time 0.627 (0.611)	Data 0.001 (0.002)	Loss 1.9980 (2.0396)	Prec@1 47.000 (47.414)	Prec@5 81.500 (77.916)
Epoch: [36][2170/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.9649 (2.0394)	Prec@1 44.500 (47.421)	Prec@5 79.500 (77.916)
Epoch: [36][2180/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.2708 (2.0397)	Prec@1 44.000 (47.411)	Prec@5 75.500 (77.913)
Epoch: [36][2190/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9387 (2.0396)	Prec@1 51.500 (47.413)	Prec@5 80.000 (77.919)
Epoch: [36][2200/9018]	Time 0.623 (0.611)	Data 0.001 (0.002)	Loss 2.0186 (2.0395)	Prec@1 51.000 (47.412)	Prec@5 79.500 (77.921)
Epoch: [36][2210/9018]	Time 0.633 (0.611)	Data 0.001 (0.002)	Loss 2.2345 (2.0396)	Prec@1 42.000 (47.404)	Prec@5 77.000 (77.922)
Epoch: [36][2220/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 2.3446 (2.0401)	Prec@1 43.000 (47.389)	Prec@5 73.500 (77.918)
Epoch: [36][2230/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.0130 (2.0401)	Prec@1 46.000 (47.387)	Prec@5 79.000 (77.917)
Epoch: [36][2240/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.2627 (2.0403)	Prec@1 37.500 (47.379)	Prec@5 76.500 (77.913)
Epoch: [36][2250/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.0085 (2.0403)	Prec@1 48.000 (47.386)	Prec@5 78.500 (77.915)
Epoch: [36][2260/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0111 (2.0403)	Prec@1 48.500 (47.383)	Prec@5 78.500 (77.913)
Epoch: [36][2270/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 2.0597 (2.0403)	Prec@1 44.500 (47.384)	Prec@5 81.500 (77.915)
Epoch: [36][2280/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.1910 (2.0403)	Prec@1 49.500 (47.386)	Prec@5 76.500 (77.914)
Epoch: [36][2290/9018]	Time 0.621 (0.611)	Data 0.001 (0.002)	Loss 2.0697 (2.0405)	Prec@1 43.000 (47.378)	Prec@5 77.500 (77.911)
Epoch: [36][2300/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.8123 (2.0407)	Prec@1 58.000 (47.378)	Prec@5 81.000 (77.913)
Epoch: [36][2310/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.0453 (2.0409)	Prec@1 51.000 (47.371)	Prec@5 75.500 (77.908)
Epoch: [36][2320/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.9033 (2.0409)	Prec@1 52.000 (47.373)	Prec@5 81.500 (77.912)
Epoch: [36][2330/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.9701 (2.0409)	Prec@1 50.500 (47.376)	Prec@5 79.500 (77.910)
Epoch: [36][2340/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.8289 (2.0407)	Prec@1 51.500 (47.381)	Prec@5 82.500 (77.909)
Epoch: [36][2350/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.9674 (2.0406)	Prec@1 47.000 (47.378)	Prec@5 79.500 (77.907)
Epoch: [36][2360/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.1216 (2.0407)	Prec@1 44.500 (47.378)	Prec@5 75.000 (77.902)
Epoch: [36][2370/9018]	Time 0.621 (0.611)	Data 0.001 (0.002)	Loss 2.0919 (2.0410)	Prec@1 49.500 (47.380)	Prec@5 81.000 (77.899)
Epoch: [36][2380/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.1405 (2.0409)	Prec@1 45.000 (47.381)	Prec@5 73.500 (77.903)
Epoch: [36][2390/9018]	Time 0.713 (0.611)	Data 0.001 (0.002)	Loss 1.9664 (2.0408)	Prec@1 48.500 (47.383)	Prec@5 82.500 (77.906)
Epoch: [36][2400/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 2.2176 (2.0408)	Prec@1 50.000 (47.387)	Prec@5 73.000 (77.904)
Epoch: [36][2410/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.9566 (2.0406)	Prec@1 47.500 (47.385)	Prec@5 80.000 (77.906)
Epoch: [36][2420/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.0077 (2.0406)	Prec@1 46.000 (47.384)	Prec@5 76.500 (77.905)
Epoch: [36][2430/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 2.0962 (2.0407)	Prec@1 42.500 (47.381)	Prec@5 79.500 (77.904)
Epoch: [36][2440/9018]	Time 0.715 (0.611)	Data 0.001 (0.002)	Loss 2.2866 (2.0408)	Prec@1 37.500 (47.374)	Prec@5 72.500 (77.901)
Epoch: [36][2450/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.0159 (2.0407)	Prec@1 52.000 (47.374)	Prec@5 73.000 (77.903)
Epoch: [36][2460/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.0652 (2.0407)	Prec@1 45.500 (47.372)	Prec@5 78.500 (77.899)
Epoch: [36][2470/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 1.9660 (2.0407)	Prec@1 51.500 (47.368)	Prec@5 75.000 (77.898)
Epoch: [36][2480/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0022 (2.0407)	Prec@1 50.000 (47.368)	Prec@5 79.000 (77.899)
Epoch: [36][2490/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 1.9614 (2.0408)	Prec@1 51.000 (47.369)	Prec@5 79.500 (77.897)
Epoch: [36][2500/9018]	Time 0.625 (0.611)	Data 0.001 (0.002)	Loss 2.0338 (2.0408)	Prec@1 45.000 (47.369)	Prec@5 81.000 (77.895)
Epoch: [36][2510/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.2328 (2.0406)	Prec@1 44.500 (47.375)	Prec@5 74.000 (77.899)
Epoch: [36][2520/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 1.8598 (2.0407)	Prec@1 52.000 (47.376)	Prec@5 81.500 (77.897)
Epoch: [36][2530/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.9101 (2.0408)	Prec@1 48.000 (47.366)	Prec@5 82.000 (77.898)
Epoch: [36][2540/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.0960 (2.0408)	Prec@1 43.500 (47.368)	Prec@5 74.000 (77.897)
Epoch: [36][2550/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 2.2127 (2.0409)	Prec@1 41.000 (47.362)	Prec@5 73.000 (77.894)
Epoch: [36][2560/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.1310 (2.0409)	Prec@1 46.000 (47.363)	Prec@5 77.000 (77.892)
Epoch: [36][2570/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.0937 (2.0410)	Prec@1 49.000 (47.361)	Prec@5 80.000 (77.891)
Epoch: [36][2580/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.9819 (2.0410)	Prec@1 46.000 (47.363)	Prec@5 79.000 (77.889)
Epoch: [36][2590/9018]	Time 0.630 (0.611)	Data 0.001 (0.002)	Loss 2.1818 (2.0410)	Prec@1 42.000 (47.360)	Prec@5 77.000 (77.893)
Epoch: [36][2600/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.0686 (2.0410)	Prec@1 48.000 (47.359)	Prec@5 77.500 (77.892)
Epoch: [36][2610/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.1222 (2.0411)	Prec@1 45.500 (47.357)	Prec@5 78.000 (77.888)
Epoch: [36][2620/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.8573 (2.0410)	Prec@1 56.000 (47.364)	Prec@5 78.500 (77.891)
Epoch: [36][2630/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.0236 (2.0408)	Prec@1 46.500 (47.368)	Prec@5 81.000 (77.894)
Epoch: [36][2640/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.0749 (2.0409)	Prec@1 45.500 (47.359)	Prec@5 77.000 (77.890)
Epoch: [36][2650/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.0800 (2.0413)	Prec@1 44.500 (47.348)	Prec@5 76.500 (77.884)
Epoch: [36][2660/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 1.8890 (2.0410)	Prec@1 53.000 (47.348)	Prec@5 78.500 (77.889)
Epoch: [36][2670/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.1369 (2.0410)	Prec@1 46.500 (47.349)	Prec@5 79.000 (77.889)
Epoch: [36][2680/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.1983 (2.0410)	Prec@1 44.500 (47.352)	Prec@5 76.500 (77.892)
Epoch: [36][2690/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.1027 (2.0409)	Prec@1 45.000 (47.356)	Prec@5 76.500 (77.892)
Epoch: [36][2700/9018]	Time 0.626 (0.611)	Data 0.001 (0.002)	Loss 1.9947 (2.0406)	Prec@1 43.500 (47.357)	Prec@5 76.000 (77.894)
Epoch: [36][2710/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9543 (2.0406)	Prec@1 53.000 (47.358)	Prec@5 81.000 (77.896)
Epoch: [36][2720/9018]	Time 0.717 (0.611)	Data 0.001 (0.002)	Loss 1.8582 (2.0408)	Prec@1 53.000 (47.353)	Prec@5 79.500 (77.892)
Epoch: [36][2730/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.0913 (2.0408)	Prec@1 46.500 (47.354)	Prec@5 74.000 (77.891)
Epoch: [36][2740/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.1304 (2.0409)	Prec@1 49.000 (47.356)	Prec@5 72.500 (77.890)
Epoch: [36][2750/9018]	Time 0.619 (0.611)	Data 0.001 (0.002)	Loss 2.0865 (2.0409)	Prec@1 44.000 (47.359)	Prec@5 74.000 (77.892)
Epoch: [36][2760/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.1330 (2.0411)	Prec@1 48.000 (47.358)	Prec@5 74.500 (77.888)
Epoch: [36][2770/9018]	Time 0.707 (0.611)	Data 0.001 (0.002)	Loss 2.2320 (2.0412)	Prec@1 42.500 (47.354)	Prec@5 72.000 (77.882)
Epoch: [36][2780/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.2111 (2.0410)	Prec@1 41.500 (47.359)	Prec@5 77.000 (77.887)
Epoch: [36][2790/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.2667 (2.0411)	Prec@1 43.500 (47.355)	Prec@5 74.500 (77.887)
Epoch: [36][2800/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.0208 (2.0411)	Prec@1 46.500 (47.354)	Prec@5 79.500 (77.890)
Epoch: [36][2810/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9433 (2.0411)	Prec@1 49.500 (47.349)	Prec@5 81.500 (77.891)
Epoch: [36][2820/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.2563 (2.0411)	Prec@1 44.500 (47.351)	Prec@5 72.500 (77.890)
Epoch: [36][2830/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.0019 (2.0410)	Prec@1 47.500 (47.354)	Prec@5 79.500 (77.892)
Epoch: [36][2840/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.8352 (2.0409)	Prec@1 50.500 (47.358)	Prec@5 83.500 (77.894)
Epoch: [36][2850/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.1833 (2.0412)	Prec@1 45.500 (47.354)	Prec@5 78.000 (77.889)
Epoch: [36][2860/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.3631 (2.0415)	Prec@1 43.500 (47.348)	Prec@5 70.500 (77.884)
Epoch: [36][2870/9018]	Time 0.619 (0.611)	Data 0.001 (0.002)	Loss 2.0474 (2.0414)	Prec@1 43.500 (47.350)	Prec@5 77.500 (77.882)
Epoch: [36][2880/9018]	Time 0.621 (0.611)	Data 0.001 (0.002)	Loss 2.0865 (2.0414)	Prec@1 46.500 (47.350)	Prec@5 79.500 (77.884)
Epoch: [36][2890/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.3285 (2.0414)	Prec@1 38.000 (47.352)	Prec@5 72.000 (77.880)
Epoch: [36][2900/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.8830 (2.0415)	Prec@1 49.000 (47.352)	Prec@5 83.000 (77.881)
Epoch: [36][2910/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.1963 (2.0416)	Prec@1 45.000 (47.347)	Prec@5 71.000 (77.876)
Epoch: [36][2920/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 1.9473 (2.0416)	Prec@1 50.000 (47.349)	Prec@5 79.500 (77.879)
Epoch: [36][2930/9018]	Time 0.625 (0.611)	Data 0.001 (0.002)	Loss 1.9852 (2.0417)	Prec@1 52.500 (47.346)	Prec@5 78.500 (77.878)
Epoch: [36][2940/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.8943 (2.0416)	Prec@1 50.500 (47.345)	Prec@5 80.000 (77.881)
Epoch: [36][2950/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9817 (2.0416)	Prec@1 47.000 (47.342)	Prec@5 77.500 (77.882)
Epoch: [36][2960/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.9328 (2.0414)	Prec@1 46.500 (47.349)	Prec@5 80.000 (77.888)
Epoch: [36][2970/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.0669 (2.0416)	Prec@1 47.500 (47.346)	Prec@5 75.500 (77.889)
Epoch: [36][2980/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.1792 (2.0418)	Prec@1 42.000 (47.339)	Prec@5 76.500 (77.885)
Epoch: [36][2990/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.8692 (2.0418)	Prec@1 51.500 (47.342)	Prec@5 76.000 (77.884)
Epoch: [36][3000/9018]	Time 0.616 (0.611)	Data 0.001 (0.002)	Loss 2.1268 (2.0415)	Prec@1 48.500 (47.349)	Prec@5 78.000 (77.890)
Epoch: [36][3010/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 2.1767 (2.0414)	Prec@1 42.500 (47.348)	Prec@5 76.000 (77.892)
Epoch: [36][3020/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 2.1064 (2.0414)	Prec@1 47.500 (47.348)	Prec@5 80.000 (77.893)
Epoch: [36][3030/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0607 (2.0415)	Prec@1 48.000 (47.346)	Prec@5 77.000 (77.890)
Epoch: [36][3040/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.0230 (2.0417)	Prec@1 48.500 (47.344)	Prec@5 79.000 (77.889)
Epoch: [36][3050/9018]	Time 0.713 (0.611)	Data 0.001 (0.001)	Loss 1.9608 (2.0415)	Prec@1 48.500 (47.349)	Prec@5 79.000 (77.892)
Epoch: [36][3060/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.0269 (2.0415)	Prec@1 46.000 (47.348)	Prec@5 78.500 (77.891)
Epoch: [36][3070/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 1.8955 (2.0417)	Prec@1 50.000 (47.345)	Prec@5 79.500 (77.883)
Epoch: [36][3080/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.9785 (2.0416)	Prec@1 48.000 (47.348)	Prec@5 81.000 (77.888)
Epoch: [36][3090/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.8116 (2.0416)	Prec@1 49.500 (47.349)	Prec@5 82.000 (77.886)
Epoch: [36][3100/9018]	Time 0.709 (0.611)	Data 0.001 (0.001)	Loss 2.0743 (2.0418)	Prec@1 49.000 (47.348)	Prec@5 77.500 (77.884)
Epoch: [36][3110/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1418 (2.0418)	Prec@1 46.500 (47.350)	Prec@5 74.000 (77.880)
Epoch: [36][3120/9018]	Time 0.615 (0.611)	Data 0.001 (0.001)	Loss 2.0820 (2.0419)	Prec@1 47.000 (47.346)	Prec@5 74.000 (77.875)
Epoch: [36][3130/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.0038 (2.0421)	Prec@1 45.000 (47.342)	Prec@5 80.000 (77.872)
Epoch: [36][3140/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9679 (2.0422)	Prec@1 46.000 (47.336)	Prec@5 81.500 (77.872)
Epoch: [36][3150/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 2.0026 (2.0421)	Prec@1 50.500 (47.339)	Prec@5 76.500 (77.876)
Epoch: [36][3160/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0680 (2.0422)	Prec@1 48.000 (47.334)	Prec@5 74.500 (77.876)
Epoch: [36][3170/9018]	Time 0.612 (0.611)	Data 0.001 (0.001)	Loss 1.9524 (2.0424)	Prec@1 50.000 (47.331)	Prec@5 79.500 (77.871)
Epoch: [36][3180/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.0349 (2.0426)	Prec@1 47.000 (47.327)	Prec@5 80.000 (77.866)
Epoch: [36][3190/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9893 (2.0425)	Prec@1 47.500 (47.330)	Prec@5 77.500 (77.870)
Epoch: [36][3200/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9822 (2.0425)	Prec@1 46.000 (47.330)	Prec@5 82.500 (77.872)
Epoch: [36][3210/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.0150 (2.0424)	Prec@1 46.000 (47.333)	Prec@5 76.000 (77.874)
Epoch: [36][3220/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1029 (2.0426)	Prec@1 45.000 (47.329)	Prec@5 76.000 (77.872)
Epoch: [36][3230/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.1219 (2.0428)	Prec@1 43.500 (47.321)	Prec@5 78.500 (77.870)
Epoch: [36][3240/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 2.2078 (2.0429)	Prec@1 43.000 (47.318)	Prec@5 75.000 (77.869)
Epoch: [36][3250/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.0532 (2.0430)	Prec@1 48.500 (47.317)	Prec@5 75.000 (77.867)
Epoch: [36][3260/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.2416 (2.0430)	Prec@1 42.000 (47.316)	Prec@5 74.000 (77.866)
Epoch: [36][3270/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9858 (2.0427)	Prec@1 47.500 (47.319)	Prec@5 82.500 (77.873)
Epoch: [36][3280/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.0724 (2.0427)	Prec@1 46.000 (47.320)	Prec@5 77.000 (77.874)
Epoch: [36][3290/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.8117 (2.0425)	Prec@1 56.500 (47.326)	Prec@5 83.000 (77.876)
Epoch: [36][3300/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.9303 (2.0422)	Prec@1 52.500 (47.329)	Prec@5 80.500 (77.880)
Epoch: [36][3310/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 2.0753 (2.0422)	Prec@1 46.000 (47.330)	Prec@5 78.000 (77.881)
Epoch: [36][3320/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9892 (2.0422)	Prec@1 47.500 (47.330)	Prec@5 78.500 (77.885)
Epoch: [36][3330/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.0323 (2.0422)	Prec@1 45.500 (47.328)	Prec@5 75.500 (77.879)
Epoch: [36][3340/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.0791 (2.0424)	Prec@1 47.500 (47.323)	Prec@5 76.000 (77.874)
Epoch: [36][3350/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.1064 (2.0424)	Prec@1 46.500 (47.319)	Prec@5 76.500 (77.876)
Epoch: [36][3360/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.8891 (2.0425)	Prec@1 48.000 (47.319)	Prec@5 78.000 (77.876)
Epoch: [36][3370/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.1518 (2.0425)	Prec@1 45.000 (47.320)	Prec@5 77.500 (77.875)
Epoch: [36][3380/9018]	Time 0.714 (0.611)	Data 0.001 (0.001)	Loss 2.3174 (2.0427)	Prec@1 47.000 (47.318)	Prec@5 71.500 (77.873)
Epoch: [36][3390/9018]	Time 0.621 (0.611)	Data 0.001 (0.001)	Loss 2.1162 (2.0427)	Prec@1 47.500 (47.321)	Prec@5 77.500 (77.871)
Epoch: [36][3400/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.8956 (2.0427)	Prec@1 48.500 (47.317)	Prec@5 82.500 (77.872)
Epoch: [36][3410/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.1433 (2.0428)	Prec@1 40.000 (47.313)	Prec@5 79.500 (77.871)
Epoch: [36][3420/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.2019 (2.0428)	Prec@1 46.000 (47.312)	Prec@5 73.500 (77.872)
Epoch: [36][3430/9018]	Time 0.720 (0.611)	Data 0.001 (0.001)	Loss 1.9736 (2.0429)	Prec@1 42.000 (47.308)	Prec@5 77.500 (77.871)
Epoch: [36][3440/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.9532 (2.0428)	Prec@1 52.000 (47.311)	Prec@5 78.500 (77.872)
Epoch: [36][3450/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9626 (2.0429)	Prec@1 52.000 (47.306)	Prec@5 77.000 (77.870)
Epoch: [36][3460/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1703 (2.0430)	Prec@1 44.000 (47.304)	Prec@5 75.000 (77.867)
Epoch: [36][3470/9018]	Time 0.630 (0.611)	Data 0.001 (0.001)	Loss 2.2434 (2.0433)	Prec@1 42.000 (47.299)	Prec@5 76.000 (77.862)
Epoch: [36][3480/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.1925 (2.0433)	Prec@1 44.500 (47.296)	Prec@5 74.500 (77.862)
Epoch: [36][3490/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.9386 (2.0435)	Prec@1 51.000 (47.294)	Prec@5 80.000 (77.860)
Epoch: [36][3500/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1012 (2.0434)	Prec@1 46.000 (47.293)	Prec@5 78.000 (77.864)
Epoch: [36][3510/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 2.1433 (2.0436)	Prec@1 44.500 (47.288)	Prec@5 75.500 (77.862)
Epoch: [36][3520/9018]	Time 0.630 (0.611)	Data 0.001 (0.001)	Loss 2.1701 (2.0436)	Prec@1 47.000 (47.288)	Prec@5 74.000 (77.861)
Epoch: [36][3530/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.0611 (2.0436)	Prec@1 46.500 (47.288)	Prec@5 78.500 (77.860)
Epoch: [36][3540/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.9043 (2.0435)	Prec@1 49.500 (47.289)	Prec@5 82.500 (77.861)
Epoch: [36][3550/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.8651 (2.0435)	Prec@1 53.000 (47.289)	Prec@5 81.000 (77.863)
Epoch: [36][3560/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.0450 (2.0434)	Prec@1 50.000 (47.294)	Prec@5 75.000 (77.865)
Epoch: [36][3570/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.1217 (2.0435)	Prec@1 46.500 (47.294)	Prec@5 77.000 (77.864)
Epoch: [36][3580/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9773 (2.0435)	Prec@1 46.500 (47.293)	Prec@5 82.500 (77.865)
Epoch: [36][3590/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1539 (2.0436)	Prec@1 43.000 (47.291)	Prec@5 77.500 (77.863)
Epoch: [36][3600/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.1981 (2.0438)	Prec@1 43.500 (47.289)	Prec@5 77.000 (77.860)
Epoch: [36][3610/9018]	Time 0.616 (0.611)	Data 0.001 (0.001)	Loss 1.9162 (2.0439)	Prec@1 55.500 (47.288)	Prec@5 79.000 (77.856)
Epoch: [36][3620/9018]	Time 0.615 (0.611)	Data 0.001 (0.001)	Loss 2.2802 (2.0441)	Prec@1 45.000 (47.282)	Prec@5 74.000 (77.856)
Epoch: [36][3630/9018]	Time 0.613 (0.611)	Data 0.001 (0.001)	Loss 1.9332 (2.0442)	Prec@1 49.500 (47.279)	Prec@5 82.000 (77.855)
Epoch: [36][3640/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.9609 (2.0441)	Prec@1 47.500 (47.277)	Prec@5 79.500 (77.859)
Epoch: [36][3650/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.8923 (2.0440)	Prec@1 48.500 (47.278)	Prec@5 83.500 (77.860)
Epoch: [36][3660/9018]	Time 0.619 (0.611)	Data 0.001 (0.001)	Loss 2.0022 (2.0440)	Prec@1 47.000 (47.277)	Prec@5 77.500 (77.862)
Epoch: [36][3670/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1490 (2.0441)	Prec@1 43.000 (47.273)	Prec@5 78.500 (77.862)
Epoch: [36][3680/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 1.8730 (2.0441)	Prec@1 49.000 (47.267)	Prec@5 79.500 (77.865)
Epoch: [36][3690/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.1722 (2.0443)	Prec@1 42.500 (47.264)	Prec@5 78.000 (77.862)
Epoch: [36][3700/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.0276 (2.0444)	Prec@1 47.000 (47.260)	Prec@5 78.000 (77.861)
Epoch: [36][3710/9018]	Time 0.707 (0.611)	Data 0.001 (0.001)	Loss 1.7748 (2.0444)	Prec@1 48.500 (47.259)	Prec@5 83.500 (77.860)
Epoch: [36][3720/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.1136 (2.0442)	Prec@1 46.000 (47.260)	Prec@5 72.500 (77.863)
Epoch: [36][3730/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0582 (2.0442)	Prec@1 46.500 (47.261)	Prec@5 77.500 (77.863)
Epoch: [36][3740/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.0288 (2.0441)	Prec@1 46.500 (47.270)	Prec@5 75.500 (77.865)
Epoch: [36][3750/9018]	Time 0.614 (0.611)	Data 0.001 (0.001)	Loss 2.2360 (2.0442)	Prec@1 43.500 (47.266)	Prec@5 75.000 (77.862)
Epoch: [36][3760/9018]	Time 0.716 (0.611)	Data 0.001 (0.001)	Loss 1.9504 (2.0442)	Prec@1 46.000 (47.263)	Prec@5 79.000 (77.862)
Epoch: [36][3770/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.0975 (2.0443)	Prec@1 49.000 (47.261)	Prec@5 75.500 (77.861)
Epoch: [36][3780/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9392 (2.0442)	Prec@1 49.500 (47.262)	Prec@5 77.500 (77.862)
Epoch: [36][3790/9018]	Time 0.621 (0.611)	Data 0.001 (0.001)	Loss 2.3264 (2.0445)	Prec@1 44.000 (47.261)	Prec@5 70.500 (77.860)
Epoch: [36][3800/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.2373 (2.0445)	Prec@1 43.000 (47.258)	Prec@5 76.000 (77.861)
Epoch: [36][3810/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.1004 (2.0444)	Prec@1 50.500 (47.261)	Prec@5 75.500 (77.862)
Epoch: [36][3820/9018]	Time 0.618 (0.611)	Data 0.001 (0.001)	Loss 2.1210 (2.0444)	Prec@1 45.500 (47.260)	Prec@5 76.500 (77.867)
Epoch: [36][3830/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9436 (2.0443)	Prec@1 49.000 (47.262)	Prec@5 79.500 (77.868)
Epoch: [36][3840/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.9770 (2.0445)	Prec@1 49.500 (47.258)	Prec@5 81.500 (77.865)
Epoch: [36][3850/9018]	Time 0.612 (0.611)	Data 0.001 (0.001)	Loss 2.1414 (2.0445)	Prec@1 46.500 (47.255)	Prec@5 77.000 (77.863)
Epoch: [36][3860/9018]	Time 0.626 (0.611)	Data 0.001 (0.001)	Loss 2.0170 (2.0445)	Prec@1 48.500 (47.255)	Prec@5 80.000 (77.862)
Epoch: [36][3870/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9322 (2.0447)	Prec@1 51.500 (47.250)	Prec@5 81.000 (77.859)
Epoch: [36][3880/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.8834 (2.0447)	Prec@1 53.000 (47.248)	Prec@5 79.500 (77.860)
Epoch: [36][3890/9018]	Time 0.589 (0.611)	Data 0.001 (0.001)	Loss 1.9484 (2.0445)	Prec@1 47.500 (47.250)	Prec@5 81.000 (77.864)
Epoch: [36][3900/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1101 (2.0445)	Prec@1 52.500 (47.251)	Prec@5 74.500 (77.865)
Epoch: [36][3910/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.1090 (2.0445)	Prec@1 47.500 (47.252)	Prec@5 73.500 (77.864)
Epoch: [36][3920/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9225 (2.0445)	Prec@1 51.000 (47.256)	Prec@5 81.500 (77.865)
Epoch: [36][3930/9018]	Time 0.628 (0.611)	Data 0.001 (0.001)	Loss 1.9913 (2.0444)	Prec@1 46.500 (47.257)	Prec@5 79.500 (77.867)
Epoch: [36][3940/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.9737 (2.0444)	Prec@1 49.000 (47.254)	Prec@5 82.000 (77.867)
Epoch: [36][3950/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.2387 (2.0445)	Prec@1 42.500 (47.251)	Prec@5 73.000 (77.863)
Epoch: [36][3960/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0838 (2.0446)	Prec@1 47.500 (47.252)	Prec@5 74.500 (77.863)
Epoch: [36][3970/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0363 (2.0445)	Prec@1 47.000 (47.254)	Prec@5 77.500 (77.862)
Epoch: [36][3980/9018]	Time 0.633 (0.611)	Data 0.001 (0.001)	Loss 1.9273 (2.0444)	Prec@1 50.500 (47.260)	Prec@5 79.500 (77.864)
Epoch: [36][3990/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.1379 (2.0446)	Prec@1 51.000 (47.258)	Prec@5 81.000 (77.861)
Epoch: [36][4000/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.0251 (2.0445)	Prec@1 47.500 (47.258)	Prec@5 75.500 (77.860)
Epoch: [36][4010/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.2032 (2.0444)	Prec@1 45.500 (47.261)	Prec@5 74.500 (77.863)
Epoch: [36][4020/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9655 (2.0443)	Prec@1 45.000 (47.262)	Prec@5 80.000 (77.865)
Epoch: [36][4030/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.9630 (2.0444)	Prec@1 52.500 (47.262)	Prec@5 84.000 (77.866)
Epoch: [36][4040/9018]	Time 0.726 (0.611)	Data 0.001 (0.001)	Loss 1.9163 (2.0444)	Prec@1 50.500 (47.261)	Prec@5 78.000 (77.867)
Epoch: [36][4050/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.2603 (2.0445)	Prec@1 42.500 (47.261)	Prec@5 74.000 (77.864)
Epoch: [36][4060/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9798 (2.0445)	Prec@1 49.500 (47.262)	Prec@5 78.500 (77.864)
Epoch: [36][4070/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.0935 (2.0445)	Prec@1 47.000 (47.261)	Prec@5 77.500 (77.865)
Epoch: [36][4080/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.3020 (2.0446)	Prec@1 43.500 (47.256)	Prec@5 73.000 (77.866)
Epoch: [36][4090/9018]	Time 0.705 (0.611)	Data 0.001 (0.001)	Loss 2.0336 (2.0447)	Prec@1 46.000 (47.254)	Prec@5 78.000 (77.863)
Epoch: [36][4100/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.1014 (2.0446)	Prec@1 49.000 (47.259)	Prec@5 77.000 (77.863)
Epoch: [36][4110/9018]	Time 0.590 (0.611)	Data 0.001 (0.001)	Loss 2.0316 (2.0447)	Prec@1 45.000 (47.258)	Prec@5 80.000 (77.861)
Epoch: [36][4120/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.9563 (2.0447)	Prec@1 53.000 (47.257)	Prec@5 78.500 (77.861)
Epoch: [36][4130/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 2.1948 (2.0448)	Prec@1 45.500 (47.256)	Prec@5 76.000 (77.858)
Epoch: [36][4140/9018]	Time 0.620 (0.611)	Data 0.001 (0.001)	Loss 2.0483 (2.0450)	Prec@1 48.000 (47.254)	Prec@5 81.500 (77.855)
Epoch: [36][4150/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.2179 (2.0449)	Prec@1 41.000 (47.252)	Prec@5 72.500 (77.856)
Epoch: [36][4160/9018]	Time 0.635 (0.611)	Data 0.001 (0.001)	Loss 2.1624 (2.0450)	Prec@1 43.000 (47.250)	Prec@5 77.000 (77.854)
Epoch: [36][4170/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.9693 (2.0451)	Prec@1 49.000 (47.249)	Prec@5 79.500 (77.854)
Epoch: [36][4180/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.9845 (2.0451)	Prec@1 51.500 (47.248)	Prec@5 79.000 (77.854)
Epoch: [36][4190/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.2684 (2.0452)	Prec@1 40.000 (47.246)	Prec@5 73.000 (77.850)
Epoch: [36][4200/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 1.9315 (2.0453)	Prec@1 50.000 (47.246)	Prec@5 78.500 (77.847)
Epoch: [36][4210/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9771 (2.0455)	Prec@1 48.000 (47.242)	Prec@5 78.000 (77.843)
Epoch: [36][4220/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.1659 (2.0457)	Prec@1 49.000 (47.239)	Prec@5 76.500 (77.839)
Epoch: [36][4230/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.0900 (2.0458)	Prec@1 44.500 (47.236)	Prec@5 80.000 (77.839)
Epoch: [36][4240/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9849 (2.0458)	Prec@1 48.500 (47.234)	Prec@5 79.500 (77.839)
Epoch: [36][4250/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 1.9827 (2.0458)	Prec@1 49.000 (47.234)	Prec@5 77.500 (77.839)
Epoch: [36][4260/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.1325 (2.0458)	Prec@1 44.500 (47.233)	Prec@5 77.000 (77.841)
Epoch: [36][4270/9018]	Time 0.589 (0.611)	Data 0.001 (0.001)	Loss 2.0278 (2.0458)	Prec@1 46.500 (47.231)	Prec@5 74.500 (77.839)
Epoch: [36][4280/9018]	Time 0.614 (0.611)	Data 0.001 (0.001)	Loss 2.0710 (2.0458)	Prec@1 46.000 (47.233)	Prec@5 77.500 (77.839)
Epoch: [36][4290/9018]	Time 0.618 (0.611)	Data 0.001 (0.001)	Loss 2.1183 (2.0458)	Prec@1 47.500 (47.231)	Prec@5 75.500 (77.840)
Epoch: [36][4300/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.0750 (2.0457)	Prec@1 49.000 (47.235)	Prec@5 76.500 (77.841)
Epoch: [36][4310/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 2.2600 (2.0458)	Prec@1 43.000 (47.238)	Prec@5 77.500 (77.842)
Epoch: [36][4320/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.0918 (2.0455)	Prec@1 45.000 (47.242)	Prec@5 78.500 (77.844)
Epoch: [36][4330/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.3705 (2.0456)	Prec@1 41.500 (47.240)	Prec@5 72.000 (77.843)
Epoch: [36][4340/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.0448 (2.0456)	Prec@1 47.000 (47.241)	Prec@5 76.000 (77.843)
Epoch: [36][4350/9018]	Time 0.626 (0.611)	Data 0.001 (0.001)	Loss 1.9880 (2.0457)	Prec@1 49.000 (47.237)	Prec@5 79.000 (77.838)
Epoch: [36][4360/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.9438 (2.0458)	Prec@1 48.500 (47.237)	Prec@5 82.000 (77.836)
Epoch: [36][4370/9018]	Time 0.711 (0.611)	Data 0.001 (0.001)	Loss 2.1434 (2.0458)	Prec@1 51.500 (47.238)	Prec@5 77.500 (77.838)
Epoch: [36][4380/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.8676 (2.0459)	Prec@1 51.000 (47.235)	Prec@5 82.000 (77.837)
Epoch: [36][4390/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.1500 (2.0459)	Prec@1 45.500 (47.235)	Prec@5 73.500 (77.836)
Epoch: [36][4400/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.3072 (2.0459)	Prec@1 38.500 (47.233)	Prec@5 73.500 (77.836)
Epoch: [36][4410/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0050 (2.0460)	Prec@1 49.000 (47.230)	Prec@5 80.000 (77.835)
Epoch: [36][4420/9018]	Time 0.724 (0.611)	Data 0.001 (0.001)	Loss 2.1056 (2.0459)	Prec@1 46.500 (47.234)	Prec@5 77.500 (77.836)
Epoch: [36][4430/9018]	Time 0.628 (0.611)	Data 0.001 (0.001)	Loss 2.0465 (2.0459)	Prec@1 47.000 (47.235)	Prec@5 77.000 (77.838)
Epoch: [36][4440/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.1475 (2.0460)	Prec@1 43.000 (47.231)	Prec@5 73.000 (77.835)
Epoch: [36][4450/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.9861 (2.0461)	Prec@1 47.000 (47.230)	Prec@5 76.500 (77.834)
Epoch: [36][4460/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.9634 (2.0462)	Prec@1 48.000 (47.227)	Prec@5 77.500 (77.829)
Epoch: [36][4470/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.2027 (2.0463)	Prec@1 46.500 (47.227)	Prec@5 75.000 (77.827)
Epoch: [36][4480/9018]	Time 0.615 (0.611)	Data 0.001 (0.001)	Loss 2.2765 (2.0464)	Prec@1 41.000 (47.226)	Prec@5 74.000 (77.825)
Epoch: [36][4490/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0067 (2.0463)	Prec@1 47.000 (47.228)	Prec@5 76.500 (77.826)
Epoch: [36][4500/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.2466 (2.0463)	Prec@1 40.500 (47.227)	Prec@5 76.000 (77.823)
Epoch: [36][4510/9018]	Time 0.615 (0.611)	Data 0.001 (0.001)	Loss 1.9934 (2.0462)	Prec@1 50.500 (47.227)	Prec@5 76.500 (77.823)
Epoch: [36][4520/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.2074 (2.0463)	Prec@1 40.000 (47.225)	Prec@5 73.500 (77.821)
Epoch: [36][4530/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9487 (2.0463)	Prec@1 52.500 (47.228)	Prec@5 78.000 (77.823)
Epoch: [36][4540/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.0548 (2.0464)	Prec@1 48.000 (47.228)	Prec@5 74.500 (77.822)
Epoch: [36][4550/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.0910 (2.0465)	Prec@1 45.000 (47.228)	Prec@5 76.000 (77.821)
Epoch: [36][4560/9018]	Time 0.593 (0.611)	Data 0.003 (0.001)	Loss 2.3542 (2.0466)	Prec@1 39.500 (47.224)	Prec@5 70.000 (77.818)
Epoch: [36][4570/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.2564 (2.0468)	Prec@1 45.000 (47.218)	Prec@5 74.000 (77.815)
Epoch: [36][4580/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.2815 (2.0469)	Prec@1 42.000 (47.215)	Prec@5 75.500 (77.814)
Epoch: [36][4590/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.9430 (2.0470)	Prec@1 48.000 (47.213)	Prec@5 79.000 (77.810)
Epoch: [36][4600/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1512 (2.0470)	Prec@1 42.000 (47.210)	Prec@5 74.500 (77.808)
Epoch: [36][4610/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.8328 (2.0470)	Prec@1 48.500 (47.213)	Prec@5 81.000 (77.809)
Epoch: [36][4620/9018]	Time 0.633 (0.611)	Data 0.001 (0.001)	Loss 2.2517 (2.0471)	Prec@1 44.000 (47.212)	Prec@5 73.000 (77.808)
Epoch: [36][4630/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0846 (2.0473)	Prec@1 47.500 (47.208)	Prec@5 76.500 (77.805)
Epoch: [36][4640/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.3434 (2.0473)	Prec@1 39.000 (47.209)	Prec@5 68.500 (77.803)
Epoch: [36][4650/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.0747 (2.0473)	Prec@1 49.500 (47.210)	Prec@5 75.500 (77.800)
Epoch: [36][4660/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.2120 (2.0473)	Prec@1 45.000 (47.216)	Prec@5 75.500 (77.800)
Epoch: [36][4670/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1222 (2.0473)	Prec@1 45.500 (47.218)	Prec@5 77.000 (77.799)
Epoch: [36][4680/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1267 (2.0474)	Prec@1 45.000 (47.217)	Prec@5 78.000 (77.798)
Epoch: [36][4690/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0711 (2.0475)	Prec@1 45.000 (47.218)	Prec@5 79.000 (77.798)
Epoch: [36][4700/9018]	Time 0.720 (0.611)	Data 0.001 (0.001)	Loss 2.1118 (2.0476)	Prec@1 48.000 (47.215)	Prec@5 76.000 (77.796)
Epoch: [36][4710/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.0018 (2.0476)	Prec@1 49.000 (47.217)	Prec@5 82.000 (77.797)
Epoch: [36][4720/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.9511 (2.0474)	Prec@1 54.500 (47.221)	Prec@5 77.500 (77.799)
Epoch: [36][4730/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.0403 (2.0474)	Prec@1 48.000 (47.222)	Prec@5 77.000 (77.800)
Epoch: [36][4740/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1939 (2.0473)	Prec@1 43.500 (47.224)	Prec@5 75.500 (77.800)
Epoch: [36][4750/9018]	Time 0.718 (0.611)	Data 0.001 (0.001)	Loss 1.9875 (2.0473)	Prec@1 50.500 (47.226)	Prec@5 81.500 (77.801)
Epoch: [36][4760/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1642 (2.0473)	Prec@1 42.000 (47.227)	Prec@5 74.500 (77.801)
Epoch: [36][4770/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.2350 (2.0472)	Prec@1 43.500 (47.229)	Prec@5 75.000 (77.802)
Epoch: [36][4780/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1155 (2.0474)	Prec@1 48.500 (47.228)	Prec@5 75.000 (77.798)
Epoch: [36][4790/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.1666 (2.0474)	Prec@1 44.500 (47.227)	Prec@5 76.000 (77.798)
Epoch: [36][4800/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9491 (2.0473)	Prec@1 48.000 (47.226)	Prec@5 76.000 (77.802)
Epoch: [36][4810/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9946 (2.0472)	Prec@1 53.000 (47.227)	Prec@5 81.000 (77.803)
Epoch: [36][4820/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.1069 (2.0472)	Prec@1 48.500 (47.230)	Prec@5 75.500 (77.803)
Epoch: [36][4830/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.9841 (2.0472)	Prec@1 53.500 (47.230)	Prec@5 75.500 (77.804)
Epoch: [36][4840/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.9509 (2.0471)	Prec@1 49.500 (47.231)	Prec@5 78.500 (77.804)
Epoch: [36][4850/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0619 (2.0471)	Prec@1 46.000 (47.233)	Prec@5 78.000 (77.804)
Epoch: [36][4860/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0861 (2.0472)	Prec@1 45.000 (47.229)	Prec@5 81.500 (77.804)
Epoch: [36][4870/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.2349 (2.0472)	Prec@1 42.000 (47.232)	Prec@5 75.500 (77.804)
Epoch: [36][4880/9018]	Time 0.616 (0.611)	Data 0.001 (0.001)	Loss 1.8582 (2.0470)	Prec@1 52.500 (47.234)	Prec@5 80.000 (77.807)
Epoch: [36][4890/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.2163 (2.0471)	Prec@1 41.000 (47.233)	Prec@5 78.500 (77.808)
Epoch: [36][4900/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1209 (2.0473)	Prec@1 46.500 (47.231)	Prec@5 76.500 (77.804)
Epoch: [36][4910/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.0851 (2.0473)	Prec@1 44.000 (47.229)	Prec@5 77.500 (77.802)
Epoch: [36][4920/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 1.9797 (2.0472)	Prec@1 41.500 (47.231)	Prec@5 82.000 (77.806)
Epoch: [36][4930/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9298 (2.0472)	Prec@1 47.500 (47.233)	Prec@5 81.000 (77.806)
Epoch: [36][4940/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0694 (2.0473)	Prec@1 47.500 (47.232)	Prec@5 76.500 (77.805)
Epoch: [36][4950/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.0326 (2.0474)	Prec@1 50.000 (47.231)	Prec@5 77.500 (77.805)
Epoch: [36][4960/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.8809 (2.0473)	Prec@1 56.500 (47.231)	Prec@5 78.500 (77.805)
Epoch: [36][4970/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 1.9338 (2.0474)	Prec@1 49.500 (47.229)	Prec@5 78.500 (77.804)
Epoch: [36][4980/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.1375 (2.0474)	Prec@1 44.500 (47.226)	Prec@5 74.500 (77.806)
Epoch: [36][4990/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.0261 (2.0475)	Prec@1 49.500 (47.223)	Prec@5 78.500 (77.805)
Epoch: [36][5000/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.1086 (2.0475)	Prec@1 47.000 (47.227)	Prec@5 79.000 (77.806)
Epoch: [36][5010/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1562 (2.0476)	Prec@1 47.500 (47.224)	Prec@5 75.500 (77.804)
Epoch: [36][5020/9018]	Time 0.613 (0.611)	Data 0.001 (0.001)	Loss 2.0122 (2.0475)	Prec@1 43.000 (47.224)	Prec@5 80.500 (77.804)
Epoch: [36][5030/9018]	Time 0.697 (0.611)	Data 0.001 (0.001)	Loss 2.1200 (2.0475)	Prec@1 46.000 (47.225)	Prec@5 77.500 (77.807)
Epoch: [36][5040/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.1029 (2.0476)	Prec@1 49.000 (47.220)	Prec@5 77.000 (77.804)
Epoch: [36][5050/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.7594 (2.0476)	Prec@1 52.500 (47.222)	Prec@5 83.500 (77.805)
Epoch: [36][5060/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.2670 (2.0478)	Prec@1 46.500 (47.218)	Prec@5 72.000 (77.798)
Epoch: [36][5070/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.1151 (2.0478)	Prec@1 44.500 (47.216)	Prec@5 75.500 (77.797)
Epoch: [36][5080/9018]	Time 0.713 (0.611)	Data 0.001 (0.001)	Loss 1.9556 (2.0479)	Prec@1 51.000 (47.214)	Prec@5 79.500 (77.796)
Epoch: [36][5090/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1099 (2.0479)	Prec@1 49.500 (47.214)	Prec@5 79.500 (77.796)
Epoch: [36][5100/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.0404 (2.0479)	Prec@1 46.000 (47.212)	Prec@5 78.500 (77.798)
Epoch: [36][5110/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.2284 (2.0480)	Prec@1 45.000 (47.210)	Prec@5 71.500 (77.795)
Epoch: [36][5120/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.9186 (2.0480)	Prec@1 47.500 (47.211)	Prec@5 81.000 (77.793)
Epoch: [36][5130/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.9411 (2.0480)	Prec@1 47.000 (47.213)	Prec@5 81.000 (77.794)
Epoch: [36][5140/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.0886 (2.0480)	Prec@1 47.500 (47.212)	Prec@5 75.500 (77.794)
Epoch: [36][5150/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1210 (2.0482)	Prec@1 44.500 (47.208)	Prec@5 76.000 (77.791)
Epoch: [36][5160/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.8930 (2.0481)	Prec@1 51.000 (47.210)	Prec@5 79.500 (77.792)
Epoch: [36][5170/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 1.8841 (2.0483)	Prec@1 53.000 (47.208)	Prec@5 77.500 (77.790)
Epoch: [36][5180/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.8751 (2.0483)	Prec@1 48.500 (47.207)	Prec@5 83.000 (77.787)
Epoch: [36][5190/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.9186 (2.0484)	Prec@1 49.000 (47.203)	Prec@5 78.500 (77.783)
Epoch: [36][5200/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1772 (2.0483)	Prec@1 45.500 (47.203)	Prec@5 74.500 (77.786)
Epoch: [36][5210/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.2164 (2.0483)	Prec@1 43.000 (47.205)	Prec@5 75.000 (77.785)
Epoch: [36][5220/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.9132 (2.0483)	Prec@1 48.500 (47.205)	Prec@5 80.500 (77.786)
Epoch: [36][5230/9018]	Time 0.614 (0.611)	Data 0.001 (0.001)	Loss 2.3368 (2.0483)	Prec@1 46.500 (47.204)	Prec@5 74.000 (77.787)
Epoch: [36][5240/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.2927 (2.0483)	Prec@1 43.500 (47.204)	Prec@5 72.000 (77.785)
Epoch: [36][5250/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.8657 (2.0483)	Prec@1 54.500 (47.207)	Prec@5 80.500 (77.784)
Epoch: [36][5260/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 2.0846 (2.0484)	Prec@1 50.000 (47.210)	Prec@5 72.000 (77.782)
Epoch: [36][5270/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.9852 (2.0484)	Prec@1 48.000 (47.209)	Prec@5 78.500 (77.783)
Epoch: [36][5280/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.0812 (2.0484)	Prec@1 49.000 (47.208)	Prec@5 75.500 (77.782)
Epoch: [36][5290/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.1014 (2.0483)	Prec@1 43.500 (47.210)	Prec@5 71.500 (77.782)
Epoch: [36][5300/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 1.9635 (2.0483)	Prec@1 47.500 (47.209)	Prec@5 80.500 (77.783)
Epoch: [36][5310/9018]	Time 0.629 (0.611)	Data 0.001 (0.001)	Loss 1.9748 (2.0482)	Prec@1 47.000 (47.209)	Prec@5 79.500 (77.785)
Epoch: [36][5320/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9063 (2.0482)	Prec@1 50.000 (47.209)	Prec@5 79.500 (77.785)
Epoch: [36][5330/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.8076 (2.0482)	Prec@1 50.000 (47.208)	Prec@5 82.500 (77.785)
Epoch: [36][5340/9018]	Time 0.618 (0.611)	Data 0.001 (0.001)	Loss 2.0582 (2.0482)	Prec@1 43.500 (47.209)	Prec@5 81.500 (77.785)
Epoch: [36][5350/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.0301 (2.0482)	Prec@1 46.500 (47.208)	Prec@5 75.000 (77.785)
Epoch: [36][5360/9018]	Time 0.728 (0.611)	Data 0.001 (0.001)	Loss 2.0120 (2.0483)	Prec@1 48.000 (47.209)	Prec@5 79.000 (77.783)
Epoch: [36][5370/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.8862 (2.0483)	Prec@1 55.500 (47.209)	Prec@5 80.000 (77.783)
Epoch: [36][5380/9018]	Time 0.632 (0.611)	Data 0.001 (0.001)	Loss 2.1392 (2.0483)	Prec@1 45.500 (47.210)	Prec@5 74.000 (77.783)
Epoch: [36][5390/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 1.8270 (2.0482)	Prec@1 50.500 (47.210)	Prec@5 80.500 (77.784)
Epoch: [36][5400/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.0863 (2.0484)	Prec@1 44.500 (47.206)	Prec@5 77.500 (77.780)
Epoch: [36][5410/9018]	Time 0.713 (0.611)	Data 0.001 (0.001)	Loss 1.8937 (2.0482)	Prec@1 52.500 (47.208)	Prec@5 77.500 (77.782)
Epoch: [36][5420/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9641 (2.0482)	Prec@1 50.000 (47.209)	Prec@5 79.000 (77.784)
Epoch: [36][5430/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.9628 (2.0483)	Prec@1 46.000 (47.209)	Prec@5 79.500 (77.782)
Epoch: [36][5440/9018]	Time 0.621 (0.611)	Data 0.001 (0.001)	Loss 1.9555 (2.0482)	Prec@1 47.000 (47.207)	Prec@5 77.500 (77.785)
Epoch: [36][5450/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.6913 (2.0483)	Prec@1 60.000 (47.207)	Prec@5 86.000 (77.785)
Epoch: [36][5460/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.2214 (2.0485)	Prec@1 43.000 (47.205)	Prec@5 73.000 (77.781)
Epoch: [36][5470/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 2.0935 (2.0485)	Prec@1 43.500 (47.204)	Prec@5 78.000 (77.781)
Epoch: [36][5480/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 2.2336 (2.0486)	Prec@1 43.000 (47.204)	Prec@5 73.000 (77.779)
Epoch: [36][5490/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.0171 (2.0486)	Prec@1 50.000 (47.204)	Prec@5 79.000 (77.777)
Epoch: [36][5500/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.0120 (2.0487)	Prec@1 51.000 (47.201)	Prec@5 78.500 (77.776)
Epoch: [36][5510/9018]	Time 0.616 (0.611)	Data 0.001 (0.001)	Loss 2.2032 (2.0489)	Prec@1 45.000 (47.198)	Prec@5 76.500 (77.775)
Epoch: [36][5520/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 2.1311 (2.0488)	Prec@1 45.000 (47.199)	Prec@5 73.000 (77.775)
Epoch: [36][5530/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.2413 (2.0489)	Prec@1 44.500 (47.199)	Prec@5 75.500 (77.774)
Epoch: [36][5540/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.3963 (2.0489)	Prec@1 42.000 (47.201)	Prec@5 73.000 (77.776)
Epoch: [36][5550/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 1.9951 (2.0489)	Prec@1 47.000 (47.202)	Prec@5 78.000 (77.777)
Epoch: [36][5560/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9416 (2.0490)	Prec@1 52.000 (47.203)	Prec@5 81.500 (77.776)
Epoch: [36][5570/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.0732 (2.0490)	Prec@1 49.000 (47.202)	Prec@5 78.000 (77.776)
Epoch: [36][5580/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9673 (2.0490)	Prec@1 51.000 (47.203)	Prec@5 80.500 (77.776)
Epoch: [36][5590/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 1.9099 (2.0490)	Prec@1 46.000 (47.202)	Prec@5 80.000 (77.777)
Epoch: [36][5600/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1080 (2.0490)	Prec@1 46.500 (47.204)	Prec@5 77.500 (77.778)
Epoch: [36][5610/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.1308 (2.0490)	Prec@1 41.500 (47.204)	Prec@5 78.500 (77.780)
Epoch: [36][5620/9018]	Time 0.618 (0.611)	Data 0.001 (0.001)	Loss 2.0300 (2.0489)	Prec@1 44.000 (47.205)	Prec@5 75.500 (77.780)
Epoch: [36][5630/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 2.1669 (2.0490)	Prec@1 44.500 (47.205)	Prec@5 75.500 (77.779)
Epoch: [36][5640/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.0177 (2.0490)	Prec@1 45.500 (47.204)	Prec@5 77.000 (77.778)
Epoch: [36][5650/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 2.1785 (2.0491)	Prec@1 48.500 (47.200)	Prec@5 73.500 (77.774)
Epoch: [36][5660/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0374 (2.0490)	Prec@1 46.000 (47.206)	Prec@5 75.500 (77.776)
Epoch: [36][5670/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0127 (2.0491)	Prec@1 44.000 (47.205)	Prec@5 78.000 (77.775)
Epoch: [36][5680/9018]	Time 0.630 (0.611)	Data 0.001 (0.001)	Loss 1.9816 (2.0490)	Prec@1 45.500 (47.209)	Prec@5 81.000 (77.778)
Epoch: [36][5690/9018]	Time 0.749 (0.611)	Data 0.001 (0.001)	Loss 2.1180 (2.0490)	Prec@1 45.500 (47.208)	Prec@5 77.000 (77.775)
Epoch: [36][5700/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.8863 (2.0490)	Prec@1 48.000 (47.208)	Prec@5 85.000 (77.777)
Epoch: [36][5710/9018]	Time 0.616 (0.611)	Data 0.001 (0.001)	Loss 2.2403 (2.0490)	Prec@1 45.500 (47.209)	Prec@5 73.000 (77.777)
Epoch: [36][5720/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.1554 (2.0490)	Prec@1 42.500 (47.207)	Prec@5 74.500 (77.776)
Epoch: [36][5730/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.0148 (2.0489)	Prec@1 48.500 (47.208)	Prec@5 80.000 (77.778)
Epoch: [36][5740/9018]	Time 0.736 (0.611)	Data 0.001 (0.001)	Loss 2.2326 (2.0490)	Prec@1 42.000 (47.206)	Prec@5 76.500 (77.777)
Epoch: [36][5750/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 2.0967 (2.0491)	Prec@1 45.500 (47.205)	Prec@5 78.500 (77.778)
Epoch: [36][5760/9018]	Time 0.619 (0.611)	Data 0.001 (0.001)	Loss 2.0601 (2.0491)	Prec@1 51.500 (47.206)	Prec@5 79.000 (77.777)
Epoch: [36][5770/9018]	Time 0.631 (0.611)	Data 0.001 (0.001)	Loss 2.0189 (2.0491)	Prec@1 48.000 (47.205)	Prec@5 79.000 (77.776)
Epoch: [36][5780/9018]	Time 0.637 (0.611)	Data 0.001 (0.001)	Loss 1.9450 (2.0491)	Prec@1 46.500 (47.204)	Prec@5 79.500 (77.777)
Epoch: [36][5790/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.0529 (2.0490)	Prec@1 52.000 (47.207)	Prec@5 73.000 (77.776)
Epoch: [36][5800/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.2864 (2.0490)	Prec@1 43.000 (47.206)	Prec@5 71.500 (77.779)
Epoch: [36][5810/9018]	Time 0.632 (0.611)	Data 0.001 (0.001)	Loss 1.8306 (2.0491)	Prec@1 50.000 (47.204)	Prec@5 81.000 (77.776)
Epoch: [36][5820/9018]	Time 0.628 (0.611)	Data 0.001 (0.001)	Loss 2.0174 (2.0491)	Prec@1 47.500 (47.204)	Prec@5 76.000 (77.775)
Epoch: [36][5830/9018]	Time 0.613 (0.611)	Data 0.001 (0.001)	Loss 1.8272 (2.0492)	Prec@1 52.000 (47.204)	Prec@5 83.500 (77.774)
Epoch: [36][5840/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.1171 (2.0493)	Prec@1 46.000 (47.203)	Prec@5 79.000 (77.775)
Epoch: [36][5850/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.6928 (2.0493)	Prec@1 55.500 (47.203)	Prec@5 81.000 (77.775)
Epoch: [36][5860/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.9232 (2.0491)	Prec@1 49.000 (47.206)	Prec@5 80.500 (77.779)
Epoch: [36][5870/9018]	Time 0.613 (0.611)	Data 0.001 (0.001)	Loss 2.2696 (2.0491)	Prec@1 43.500 (47.205)	Prec@5 72.500 (77.780)
Epoch: [36][5880/9018]	Time 0.628 (0.611)	Data 0.001 (0.001)	Loss 2.0761 (2.0490)	Prec@1 49.000 (47.207)	Prec@5 76.500 (77.780)
Epoch: [36][5890/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9012 (2.0491)	Prec@1 53.500 (47.205)	Prec@5 79.000 (77.776)
Epoch: [36][5900/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 2.0155 (2.0491)	Prec@1 46.000 (47.205)	Prec@5 81.000 (77.776)
Epoch: [36][5910/9018]	Time 0.618 (0.611)	Data 0.001 (0.001)	Loss 2.0634 (2.0492)	Prec@1 50.500 (47.202)	Prec@5 79.500 (77.775)
Epoch: [36][5920/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.0412 (2.0492)	Prec@1 49.500 (47.204)	Prec@5 80.500 (77.776)
Epoch: [36][5930/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.0459 (2.0493)	Prec@1 45.500 (47.202)	Prec@5 77.500 (77.774)
Epoch: [36][5940/9018]	Time 0.624 (0.611)	Data 0.001 (0.001)	Loss 2.0876 (2.0493)	Prec@1 48.500 (47.200)	Prec@5 73.500 (77.770)
Epoch: [36][5950/9018]	Time 0.618 (0.611)	Data 0.001 (0.001)	Loss 2.2165 (2.0494)	Prec@1 39.500 (47.198)	Prec@5 76.000 (77.771)
Epoch: [36][5960/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 2.0478 (2.0494)	Prec@1 43.500 (47.197)	Prec@5 78.500 (77.771)
Epoch: [36][5970/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 2.2181 (2.0495)	Prec@1 42.500 (47.198)	Prec@5 70.500 (77.768)
Epoch: [36][5980/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 2.0507 (2.0495)	Prec@1 47.500 (47.198)	Prec@5 77.500 (77.769)
Epoch: [36][5990/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.1474 (2.0496)	Prec@1 43.500 (47.194)	Prec@5 77.000 (77.766)
Epoch: [36][6000/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.0851 (2.0497)	Prec@1 44.500 (47.194)	Prec@5 76.500 (77.765)
Epoch: [36][6010/9018]	Time 0.629 (0.611)	Data 0.001 (0.001)	Loss 1.9837 (2.0497)	Prec@1 46.500 (47.193)	Prec@5 79.500 (77.764)
Epoch: [36][6020/9018]	Time 0.723 (0.611)	Data 0.001 (0.001)	Loss 2.0244 (2.0496)	Prec@1 48.000 (47.193)	Prec@5 76.000 (77.765)
Epoch: [36][6030/9018]	Time 0.618 (0.611)	Data 0.001 (0.001)	Loss 2.0857 (2.0496)	Prec@1 46.000 (47.190)	Prec@5 78.500 (77.766)
Epoch: [36][6040/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.0974 (2.0497)	Prec@1 48.000 (47.192)	Prec@5 76.000 (77.765)
Epoch: [36][6050/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0426 (2.0497)	Prec@1 44.500 (47.192)	Prec@5 78.500 (77.765)
Epoch: [36][6060/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.0574 (2.0497)	Prec@1 45.500 (47.189)	Prec@5 78.000 (77.766)
Epoch: [36][6070/9018]	Time 0.727 (0.611)	Data 0.001 (0.001)	Loss 2.3454 (2.0499)	Prec@1 41.500 (47.186)	Prec@5 73.000 (77.762)
Epoch: [36][6080/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.0359 (2.0500)	Prec@1 51.000 (47.184)	Prec@5 77.500 (77.760)
Epoch: [36][6090/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.1706 (2.0499)	Prec@1 42.500 (47.186)	Prec@5 78.000 (77.761)
Epoch: [36][6100/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.8548 (2.0500)	Prec@1 51.000 (47.184)	Prec@5 80.500 (77.759)
Epoch: [36][6110/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.2025 (2.0501)	Prec@1 44.500 (47.183)	Prec@5 76.000 (77.757)
Epoch: [36][6120/9018]	Time 0.621 (0.611)	Data 0.001 (0.001)	Loss 2.0404 (2.0501)	Prec@1 47.500 (47.181)	Prec@5 77.500 (77.756)
Epoch: [36][6130/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.1825 (2.0501)	Prec@1 41.000 (47.180)	Prec@5 75.000 (77.756)
Epoch: [36][6140/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.9155 (2.0502)	Prec@1 47.500 (47.180)	Prec@5 83.000 (77.754)
Epoch: [36][6150/9018]	Time 0.644 (0.611)	Data 0.001 (0.001)	Loss 2.4141 (2.0503)	Prec@1 40.000 (47.177)	Prec@5 73.500 (77.751)
Epoch: [36][6160/9018]	Time 0.626 (0.611)	Data 0.001 (0.001)	Loss 2.0012 (2.0503)	Prec@1 47.500 (47.175)	Prec@5 79.500 (77.753)
Epoch: [36][6170/9018]	Time 0.636 (0.611)	Data 0.001 (0.001)	Loss 2.0349 (2.0502)	Prec@1 48.000 (47.178)	Prec@5 79.000 (77.755)
Epoch: [36][6180/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.2339 (2.0502)	Prec@1 44.500 (47.180)	Prec@5 76.500 (77.756)
Epoch: [36][6190/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.9858 (2.0500)	Prec@1 47.000 (47.181)	Prec@5 76.500 (77.758)
Epoch: [36][6200/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.2857 (2.0500)	Prec@1 41.500 (47.183)	Prec@5 74.500 (77.758)
Epoch: [36][6210/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.0430 (2.0501)	Prec@1 42.500 (47.181)	Prec@5 79.000 (77.756)
Epoch: [36][6220/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.0515 (2.0501)	Prec@1 44.500 (47.180)	Prec@5 79.500 (77.756)
Epoch: [36][6230/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 2.0960 (2.0501)	Prec@1 46.000 (47.181)	Prec@5 74.500 (77.756)
Epoch: [36][6240/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.0850 (2.0500)	Prec@1 50.000 (47.184)	Prec@5 76.500 (77.755)
Epoch: [36][6250/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.0111 (2.0501)	Prec@1 53.500 (47.184)	Prec@5 80.000 (77.755)
Epoch: [36][6260/9018]	Time 0.614 (0.611)	Data 0.001 (0.001)	Loss 2.2327 (2.0501)	Prec@1 41.500 (47.184)	Prec@5 78.000 (77.754)
Epoch: [36][6270/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 2.1833 (2.0503)	Prec@1 45.500 (47.180)	Prec@5 78.000 (77.754)
Epoch: [36][6280/9018]	Time 0.621 (0.611)	Data 0.001 (0.001)	Loss 1.8163 (2.0502)	Prec@1 48.000 (47.180)	Prec@5 79.500 (77.756)
Epoch: [36][6290/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 1.8713 (2.0503)	Prec@1 50.000 (47.180)	Prec@5 82.500 (77.755)
Epoch: [36][6300/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.8758 (2.0503)	Prec@1 50.000 (47.180)	Prec@5 81.000 (77.756)
Epoch: [36][6310/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.8893 (2.0503)	Prec@1 47.000 (47.181)	Prec@5 81.500 (77.755)
Epoch: [36][6320/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.9937 (2.0503)	Prec@1 48.000 (47.181)	Prec@5 79.000 (77.754)
Epoch: [36][6330/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 1.6774 (2.0503)	Prec@1 56.500 (47.182)	Prec@5 82.000 (77.755)
Epoch: [36][6340/9018]	Time 0.632 (0.611)	Data 0.001 (0.001)	Loss 2.2225 (2.0503)	Prec@1 44.500 (47.182)	Prec@5 75.000 (77.754)
Epoch: [36][6350/9018]	Time 0.725 (0.611)	Data 0.001 (0.001)	Loss 2.0048 (2.0503)	Prec@1 49.000 (47.181)	Prec@5 78.000 (77.753)
Epoch: [36][6360/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1509 (2.0504)	Prec@1 43.000 (47.178)	Prec@5 76.500 (77.753)
Epoch: [36][6370/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.9011 (2.0502)	Prec@1 52.000 (47.182)	Prec@5 80.500 (77.757)
Epoch: [36][6380/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9910 (2.0502)	Prec@1 47.500 (47.181)	Prec@5 78.000 (77.757)
Epoch: [36][6390/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 1.9303 (2.0502)	Prec@1 49.500 (47.180)	Prec@5 81.000 (77.756)
Epoch: [36][6400/9018]	Time 0.714 (0.611)	Data 0.001 (0.001)	Loss 1.9132 (2.0503)	Prec@1 54.500 (47.179)	Prec@5 79.000 (77.756)
Epoch: [36][6410/9018]	Time 0.630 (0.611)	Data 0.001 (0.001)	Loss 2.0357 (2.0501)	Prec@1 45.500 (47.181)	Prec@5 77.000 (77.757)
Epoch: [36][6420/9018]	Time 0.626 (0.611)	Data 0.001 (0.001)	Loss 2.1071 (2.0501)	Prec@1 48.000 (47.183)	Prec@5 79.500 (77.758)
Epoch: [36][6430/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 2.1227 (2.0502)	Prec@1 45.500 (47.181)	Prec@5 77.500 (77.756)
Epoch: [36][6440/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.0884 (2.0502)	Prec@1 46.000 (47.182)	Prec@5 76.500 (77.756)
Epoch: [36][6450/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.0730 (2.0502)	Prec@1 46.500 (47.180)	Prec@5 76.000 (77.755)
Epoch: [36][6460/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.0163 (2.0503)	Prec@1 47.000 (47.179)	Prec@5 76.500 (77.753)
Epoch: [36][6470/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 1.9613 (2.0503)	Prec@1 50.000 (47.179)	Prec@5 80.000 (77.753)
Epoch: [36][6480/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1112 (2.0503)	Prec@1 48.000 (47.178)	Prec@5 78.500 (77.755)
Epoch: [36][6490/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 1.9372 (2.0504)	Prec@1 48.500 (47.177)	Prec@5 80.000 (77.754)
Epoch: [36][6500/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.0778 (2.0503)	Prec@1 46.000 (47.178)	Prec@5 79.000 (77.754)
Epoch: [36][6510/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.0338 (2.0503)	Prec@1 45.000 (47.176)	Prec@5 79.000 (77.754)
Epoch: [36][6520/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.0739 (2.0504)	Prec@1 49.000 (47.177)	Prec@5 78.000 (77.755)
Epoch: [36][6530/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.2690 (2.0505)	Prec@1 42.000 (47.175)	Prec@5 75.500 (77.752)
Epoch: [36][6540/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 2.1230 (2.0505)	Prec@1 47.500 (47.177)	Prec@5 76.500 (77.752)
Epoch: [36][6550/9018]	Time 0.632 (0.611)	Data 0.001 (0.001)	Loss 2.1829 (2.0506)	Prec@1 46.000 (47.174)	Prec@5 74.500 (77.749)
Epoch: [36][6560/9018]	Time 0.613 (0.611)	Data 0.001 (0.001)	Loss 2.1304 (2.0507)	Prec@1 46.000 (47.172)	Prec@5 77.000 (77.747)
Epoch: [36][6570/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 1.9798 (2.0507)	Prec@1 48.000 (47.174)	Prec@5 79.000 (77.747)
Epoch: [36][6580/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 1.9692 (2.0508)	Prec@1 46.500 (47.175)	Prec@5 79.000 (77.745)
Epoch: [36][6590/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.0890 (2.0507)	Prec@1 47.000 (47.177)	Prec@5 75.500 (77.745)
Epoch: [36][6600/9018]	Time 0.632 (0.612)	Data 0.001 (0.001)	Loss 1.8780 (2.0507)	Prec@1 49.000 (47.178)	Prec@5 79.000 (77.746)
Epoch: [36][6610/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 2.0747 (2.0507)	Prec@1 45.000 (47.176)	Prec@5 79.000 (77.745)
Epoch: [36][6620/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.2203 (2.0509)	Prec@1 44.500 (47.172)	Prec@5 75.500 (77.742)
Epoch: [36][6630/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.0024 (2.0509)	Prec@1 47.500 (47.172)	Prec@5 81.500 (77.742)
Epoch: [36][6640/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.9682 (2.0508)	Prec@1 49.500 (47.175)	Prec@5 81.500 (77.742)
Epoch: [36][6650/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.1090 (2.0508)	Prec@1 45.000 (47.175)	Prec@5 79.000 (77.742)
Epoch: [36][6660/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.9681 (2.0508)	Prec@1 50.500 (47.175)	Prec@5 81.500 (77.742)
Epoch: [36][6670/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 1.9583 (2.0508)	Prec@1 46.000 (47.175)	Prec@5 80.500 (77.743)
Epoch: [36][6680/9018]	Time 0.749 (0.612)	Data 0.001 (0.001)	Loss 2.1510 (2.0508)	Prec@1 43.500 (47.176)	Prec@5 76.500 (77.742)
Epoch: [36][6690/9018]	Time 0.630 (0.612)	Data 0.001 (0.001)	Loss 2.1169 (2.0507)	Prec@1 46.500 (47.178)	Prec@5 74.000 (77.742)
Epoch: [36][6700/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.1129 (2.0508)	Prec@1 45.500 (47.177)	Prec@5 75.500 (77.740)
Epoch: [36][6710/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 1.9864 (2.0507)	Prec@1 48.000 (47.178)	Prec@5 76.500 (77.742)
Epoch: [36][6720/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.8842 (2.0508)	Prec@1 46.500 (47.175)	Prec@5 81.000 (77.741)
Epoch: [36][6730/9018]	Time 0.713 (0.612)	Data 0.001 (0.001)	Loss 2.1838 (2.0509)	Prec@1 45.000 (47.171)	Prec@5 75.500 (77.740)
Epoch: [36][6740/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.1114 (2.0510)	Prec@1 45.500 (47.170)	Prec@5 77.500 (77.738)
Epoch: [36][6750/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 1.9722 (2.0511)	Prec@1 47.500 (47.168)	Prec@5 80.000 (77.738)
Epoch: [36][6760/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.0598 (2.0512)	Prec@1 44.500 (47.167)	Prec@5 75.500 (77.736)
Epoch: [36][6770/9018]	Time 0.632 (0.612)	Data 0.001 (0.001)	Loss 2.1752 (2.0512)	Prec@1 44.500 (47.166)	Prec@5 75.500 (77.734)
Epoch: [36][6780/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 1.7546 (2.0512)	Prec@1 52.500 (47.170)	Prec@5 82.500 (77.734)
Epoch: [36][6790/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.0337 (2.0512)	Prec@1 52.500 (47.167)	Prec@5 77.000 (77.734)
Epoch: [36][6800/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.9026 (2.0512)	Prec@1 52.500 (47.169)	Prec@5 80.000 (77.736)
Epoch: [36][6810/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.3365 (2.0512)	Prec@1 39.000 (47.170)	Prec@5 69.500 (77.734)
Epoch: [36][6820/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.9297 (2.0513)	Prec@1 48.500 (47.165)	Prec@5 79.500 (77.733)
Epoch: [36][6830/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.0097 (2.0513)	Prec@1 47.500 (47.164)	Prec@5 79.500 (77.734)
Epoch: [36][6840/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1827 (2.0511)	Prec@1 42.000 (47.166)	Prec@5 76.500 (77.737)
Epoch: [36][6850/9018]	Time 0.621 (0.612)	Data 0.001 (0.001)	Loss 1.9310 (2.0511)	Prec@1 52.000 (47.168)	Prec@5 79.500 (77.736)
Epoch: [36][6860/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 2.0128 (2.0511)	Prec@1 45.000 (47.166)	Prec@5 79.000 (77.736)
Epoch: [36][6870/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.1042 (2.0512)	Prec@1 47.000 (47.165)	Prec@5 76.000 (77.734)
Epoch: [36][6880/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1505 (2.0512)	Prec@1 41.500 (47.163)	Prec@5 73.500 (77.736)
Epoch: [36][6890/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 2.2063 (2.0512)	Prec@1 42.000 (47.163)	Prec@5 75.500 (77.738)
Epoch: [36][6900/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.1027 (2.0512)	Prec@1 45.500 (47.163)	Prec@5 76.500 (77.738)
Epoch: [36][6910/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 2.0980 (2.0511)	Prec@1 46.000 (47.163)	Prec@5 74.500 (77.737)
Epoch: [36][6920/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 1.9846 (2.0512)	Prec@1 50.000 (47.162)	Prec@5 77.500 (77.736)
Epoch: [36][6930/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.9475 (2.0511)	Prec@1 50.000 (47.163)	Prec@5 78.000 (77.737)
Epoch: [36][6940/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.0058 (2.0511)	Prec@1 46.000 (47.163)	Prec@5 80.500 (77.738)
Epoch: [36][6950/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.2108 (2.0511)	Prec@1 44.500 (47.163)	Prec@5 74.000 (77.738)
Epoch: [36][6960/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.2319 (2.0512)	Prec@1 43.000 (47.162)	Prec@5 76.000 (77.737)
Epoch: [36][6970/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.1562 (2.0513)	Prec@1 47.500 (47.162)	Prec@5 72.000 (77.734)
Epoch: [36][6980/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 1.7974 (2.0512)	Prec@1 51.000 (47.164)	Prec@5 81.500 (77.736)
Epoch: [36][6990/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.0554 (2.0513)	Prec@1 51.500 (47.165)	Prec@5 80.000 (77.735)
Epoch: [36][7000/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 2.0085 (2.0513)	Prec@1 48.000 (47.164)	Prec@5 77.500 (77.735)
Epoch: [36][7010/9018]	Time 0.731 (0.612)	Data 0.001 (0.001)	Loss 2.0864 (2.0513)	Prec@1 48.000 (47.162)	Prec@5 78.000 (77.735)
Epoch: [36][7020/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.9687 (2.0513)	Prec@1 50.000 (47.163)	Prec@5 78.500 (77.734)
Epoch: [36][7030/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.8138 (2.0512)	Prec@1 52.000 (47.165)	Prec@5 81.000 (77.734)
Epoch: [36][7040/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1092 (2.0512)	Prec@1 47.500 (47.166)	Prec@5 74.500 (77.735)
Epoch: [36][7050/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.0697 (2.0512)	Prec@1 46.000 (47.167)	Prec@5 79.000 (77.734)
Epoch: [36][7060/9018]	Time 0.757 (0.612)	Data 0.001 (0.001)	Loss 2.3372 (2.0513)	Prec@1 44.000 (47.165)	Prec@5 76.500 (77.734)
Epoch: [36][7070/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.0105 (2.0513)	Prec@1 48.000 (47.169)	Prec@5 79.500 (77.733)
Epoch: [36][7080/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.2236 (2.0513)	Prec@1 41.500 (47.170)	Prec@5 77.000 (77.733)
Epoch: [36][7090/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 2.1764 (2.0514)	Prec@1 43.000 (47.167)	Prec@5 77.500 (77.732)
Epoch: [36][7100/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.2265 (2.0515)	Prec@1 46.500 (47.166)	Prec@5 72.000 (77.730)
Epoch: [36][7110/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.1137 (2.0515)	Prec@1 50.000 (47.165)	Prec@5 74.500 (77.730)
Epoch: [36][7120/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.3410 (2.0515)	Prec@1 44.000 (47.165)	Prec@5 71.500 (77.731)
Epoch: [36][7130/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 1.9080 (2.0515)	Prec@1 49.000 (47.165)	Prec@5 80.500 (77.730)
Epoch: [36][7140/9018]	Time 0.631 (0.612)	Data 0.001 (0.001)	Loss 2.0420 (2.0515)	Prec@1 44.000 (47.165)	Prec@5 80.500 (77.730)
Epoch: [36][7150/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.2863 (2.0516)	Prec@1 43.500 (47.163)	Prec@5 76.000 (77.729)
Epoch: [36][7160/9018]	Time 0.614 (0.612)	Data 0.001 (0.001)	Loss 2.1563 (2.0516)	Prec@1 45.000 (47.163)	Prec@5 76.500 (77.729)
Epoch: [36][7170/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.8934 (2.0515)	Prec@1 50.000 (47.164)	Prec@5 83.500 (77.730)
Epoch: [36][7180/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.0480 (2.0516)	Prec@1 44.500 (47.161)	Prec@5 77.000 (77.729)
Epoch: [36][7190/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 1.8564 (2.0516)	Prec@1 49.500 (47.163)	Prec@5 81.000 (77.729)
Epoch: [36][7200/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 2.0989 (2.0516)	Prec@1 47.500 (47.163)	Prec@5 78.000 (77.730)
Epoch: [36][7210/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.8557 (2.0516)	Prec@1 49.500 (47.163)	Prec@5 79.500 (77.729)
Epoch: [36][7220/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.1835 (2.0516)	Prec@1 42.500 (47.162)	Prec@5 74.500 (77.727)
Epoch: [36][7230/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 2.2624 (2.0516)	Prec@1 42.000 (47.163)	Prec@5 74.500 (77.728)
Epoch: [36][7240/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.0060 (2.0516)	Prec@1 53.500 (47.164)	Prec@5 76.000 (77.728)
Epoch: [36][7250/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 2.1076 (2.0516)	Prec@1 45.000 (47.164)	Prec@5 78.500 (77.728)
Epoch: [36][7260/9018]	Time 0.617 (0.612)	Data 0.001 (0.001)	Loss 1.9306 (2.0516)	Prec@1 46.500 (47.164)	Prec@5 80.500 (77.726)
Epoch: [36][7270/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.6908 (2.0516)	Prec@1 56.000 (47.165)	Prec@5 85.500 (77.727)
Epoch: [36][7280/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 1.9681 (2.0516)	Prec@1 45.000 (47.166)	Prec@5 76.500 (77.727)
Epoch: [36][7290/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 1.8672 (2.0516)	Prec@1 57.500 (47.167)	Prec@5 83.500 (77.727)
Epoch: [36][7300/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.0208 (2.0516)	Prec@1 45.000 (47.167)	Prec@5 78.000 (77.728)
Epoch: [36][7310/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.3436 (2.0516)	Prec@1 38.000 (47.165)	Prec@5 72.000 (77.725)
Epoch: [36][7320/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.0611 (2.0516)	Prec@1 49.500 (47.167)	Prec@5 77.500 (77.726)
Epoch: [36][7330/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.0959 (2.0516)	Prec@1 44.500 (47.169)	Prec@5 76.500 (77.726)
Epoch: [36][7340/9018]	Time 0.740 (0.612)	Data 0.001 (0.001)	Loss 2.0218 (2.0516)	Prec@1 49.000 (47.170)	Prec@5 75.500 (77.726)
Epoch: [36][7350/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.0979 (2.0516)	Prec@1 48.500 (47.168)	Prec@5 75.000 (77.725)
Epoch: [36][7360/9018]	Time 0.631 (0.612)	Data 0.001 (0.001)	Loss 2.1919 (2.0517)	Prec@1 48.000 (47.167)	Prec@5 72.000 (77.721)
Epoch: [36][7370/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.2248 (2.0517)	Prec@1 42.000 (47.166)	Prec@5 74.500 (77.720)
Epoch: [36][7380/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.0570 (2.0517)	Prec@1 48.500 (47.166)	Prec@5 75.500 (77.719)
Epoch: [36][7390/9018]	Time 0.742 (0.612)	Data 0.001 (0.001)	Loss 2.1312 (2.0518)	Prec@1 50.500 (47.164)	Prec@5 74.000 (77.716)
Epoch: [36][7400/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 1.9749 (2.0519)	Prec@1 48.000 (47.162)	Prec@5 78.000 (77.716)
Epoch: [36][7410/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.1692 (2.0519)	Prec@1 44.000 (47.161)	Prec@5 72.500 (77.716)
Epoch: [36][7420/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.2003 (2.0520)	Prec@1 45.500 (47.162)	Prec@5 75.000 (77.715)
Epoch: [36][7430/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.1271 (2.0520)	Prec@1 49.500 (47.163)	Prec@5 79.000 (77.716)
Epoch: [36][7440/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 2.0103 (2.0520)	Prec@1 46.000 (47.163)	Prec@5 79.500 (77.715)
Epoch: [36][7450/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 1.8118 (2.0521)	Prec@1 51.000 (47.162)	Prec@5 83.000 (77.715)
Epoch: [36][7460/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.0243 (2.0521)	Prec@1 44.500 (47.161)	Prec@5 77.000 (77.716)
Epoch: [36][7470/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.1284 (2.0522)	Prec@1 46.000 (47.159)	Prec@5 77.000 (77.715)
Epoch: [36][7480/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.1654 (2.0522)	Prec@1 45.500 (47.159)	Prec@5 75.500 (77.714)
Epoch: [36][7490/9018]	Time 0.633 (0.612)	Data 0.001 (0.001)	Loss 1.9893 (2.0522)	Prec@1 49.500 (47.158)	Prec@5 78.500 (77.716)
Epoch: [36][7500/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.8976 (2.0522)	Prec@1 48.500 (47.158)	Prec@5 81.000 (77.717)
Epoch: [36][7510/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 1.9922 (2.0521)	Prec@1 51.500 (47.159)	Prec@5 78.500 (77.718)
Epoch: [36][7520/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 1.9583 (2.0521)	Prec@1 48.000 (47.158)	Prec@5 82.500 (77.720)
Epoch: [36][7530/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 2.1801 (2.0520)	Prec@1 45.500 (47.160)	Prec@5 75.500 (77.719)
Epoch: [36][7540/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.1371 (2.0521)	Prec@1 42.500 (47.158)	Prec@5 75.500 (77.718)
Epoch: [36][7550/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 2.2315 (2.0521)	Prec@1 39.000 (47.156)	Prec@5 71.500 (77.717)
Epoch: [36][7560/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.9269 (2.0521)	Prec@1 49.500 (47.156)	Prec@5 76.000 (77.717)
Epoch: [36][7570/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 1.7318 (2.0521)	Prec@1 57.000 (47.156)	Prec@5 83.000 (77.716)
Epoch: [36][7580/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 1.9972 (2.0521)	Prec@1 46.500 (47.155)	Prec@5 78.500 (77.716)
Epoch: [36][7590/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.9976 (2.0522)	Prec@1 48.000 (47.155)	Prec@5 77.000 (77.715)
Epoch: [36][7600/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.1245 (2.0520)	Prec@1 44.500 (47.156)	Prec@5 78.500 (77.717)
Epoch: [36][7610/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.1667 (2.0521)	Prec@1 46.000 (47.156)	Prec@5 79.000 (77.715)
Epoch: [36][7620/9018]	Time 0.630 (0.612)	Data 0.001 (0.001)	Loss 1.9402 (2.0521)	Prec@1 50.000 (47.156)	Prec@5 80.500 (77.716)
Epoch: [36][7630/9018]	Time 0.614 (0.612)	Data 0.003 (0.001)	Loss 1.9562 (2.0521)	Prec@1 52.000 (47.155)	Prec@5 79.000 (77.716)
Epoch: [36][7640/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.2680 (2.0521)	Prec@1 40.500 (47.155)	Prec@5 74.500 (77.717)
Epoch: [36][7650/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.0089 (2.0522)	Prec@1 45.500 (47.153)	Prec@5 80.500 (77.716)
Epoch: [36][7660/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1785 (2.0522)	Prec@1 45.000 (47.151)	Prec@5 76.000 (77.717)
Epoch: [36][7670/9018]	Time 0.738 (0.612)	Data 0.001 (0.001)	Loss 2.2304 (2.0523)	Prec@1 38.500 (47.148)	Prec@5 73.000 (77.716)
Epoch: [36][7680/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.0800 (2.0523)	Prec@1 46.000 (47.148)	Prec@5 79.500 (77.716)
Epoch: [36][7690/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.9771 (2.0524)	Prec@1 48.500 (47.148)	Prec@5 79.500 (77.716)
Epoch: [36][7700/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 1.9165 (2.0524)	Prec@1 48.000 (47.147)	Prec@5 81.000 (77.714)
Epoch: [36][7710/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.2718 (2.0525)	Prec@1 39.500 (47.144)	Prec@5 75.000 (77.714)
Epoch: [36][7720/9018]	Time 0.720 (0.612)	Data 0.001 (0.001)	Loss 1.9797 (2.0525)	Prec@1 49.500 (47.144)	Prec@5 80.500 (77.713)
Epoch: [36][7730/9018]	Time 0.604 (0.612)	Data 0.003 (0.001)	Loss 1.9543 (2.0526)	Prec@1 46.500 (47.145)	Prec@5 80.000 (77.711)
Epoch: [36][7740/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.2507 (2.0526)	Prec@1 46.000 (47.144)	Prec@5 76.000 (77.710)
Epoch: [36][7750/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 2.0532 (2.0526)	Prec@1 44.500 (47.145)	Prec@5 77.500 (77.711)
Epoch: [36][7760/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.1380 (2.0527)	Prec@1 50.000 (47.143)	Prec@5 73.000 (77.708)
Epoch: [36][7770/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.9315 (2.0527)	Prec@1 48.000 (47.143)	Prec@5 81.000 (77.708)
Epoch: [36][7780/9018]	Time 0.621 (0.612)	Data 0.001 (0.001)	Loss 2.0111 (2.0527)	Prec@1 45.000 (47.143)	Prec@5 80.500 (77.707)
Epoch: [36][7790/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.9981 (2.0529)	Prec@1 49.000 (47.140)	Prec@5 80.500 (77.704)
Epoch: [36][7800/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1463 (2.0529)	Prec@1 49.000 (47.141)	Prec@5 77.500 (77.704)
Epoch: [36][7810/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.8785 (2.0529)	Prec@1 49.000 (47.140)	Prec@5 82.000 (77.704)
Epoch: [36][7820/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 2.0566 (2.0528)	Prec@1 45.000 (47.142)	Prec@5 78.000 (77.708)
Epoch: [36][7830/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.1666 (2.0528)	Prec@1 46.000 (47.143)	Prec@5 76.000 (77.708)
Epoch: [36][7840/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.0720 (2.0529)	Prec@1 48.500 (47.141)	Prec@5 81.000 (77.706)
Epoch: [36][7850/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.0166 (2.0528)	Prec@1 52.500 (47.144)	Prec@5 76.000 (77.708)
Epoch: [36][7860/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.2464 (2.0528)	Prec@1 41.000 (47.143)	Prec@5 72.000 (77.705)
Epoch: [36][7870/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.0635 (2.0528)	Prec@1 49.000 (47.144)	Prec@5 78.000 (77.705)
Epoch: [36][7880/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.2752 (2.0529)	Prec@1 40.000 (47.142)	Prec@5 70.500 (77.704)
Epoch: [36][7890/9018]	Time 0.618 (0.612)	Data 0.001 (0.001)	Loss 1.7615 (2.0529)	Prec@1 55.000 (47.143)	Prec@5 82.500 (77.705)
Epoch: [36][7900/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.0946 (2.0528)	Prec@1 45.500 (47.143)	Prec@5 75.000 (77.706)
Epoch: [36][7910/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.0443 (2.0529)	Prec@1 49.000 (47.143)	Prec@5 77.500 (77.704)
Epoch: [36][7920/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.9922 (2.0529)	Prec@1 48.500 (47.144)	Prec@5 80.000 (77.705)
Epoch: [36][7930/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.0588 (2.0528)	Prec@1 46.500 (47.144)	Prec@5 76.000 (77.705)
Epoch: [36][7940/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.0844 (2.0528)	Prec@1 46.500 (47.144)	Prec@5 81.000 (77.706)
Epoch: [36][7950/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 2.1620 (2.0529)	Prec@1 39.500 (47.143)	Prec@5 77.500 (77.705)
Epoch: [36][7960/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.0081 (2.0529)	Prec@1 49.000 (47.144)	Prec@5 79.000 (77.705)
Epoch: [36][7970/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.0801 (2.0529)	Prec@1 45.000 (47.144)	Prec@5 79.500 (77.706)
Epoch: [36][7980/9018]	Time 0.637 (0.612)	Data 0.001 (0.001)	Loss 2.2026 (2.0530)	Prec@1 46.000 (47.142)	Prec@5 77.000 (77.704)
Epoch: [36][7990/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.2533 (2.0531)	Prec@1 41.500 (47.140)	Prec@5 76.500 (77.702)
Epoch: [36][8000/9018]	Time 0.757 (0.612)	Data 0.001 (0.001)	Loss 2.0624 (2.0531)	Prec@1 43.500 (47.138)	Prec@5 79.000 (77.702)
Epoch: [36][8010/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.0133 (2.0530)	Prec@1 51.000 (47.140)	Prec@5 79.000 (77.703)
Epoch: [36][8020/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.9956 (2.0529)	Prec@1 49.500 (47.143)	Prec@5 75.000 (77.704)
Epoch: [36][8030/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.0818 (2.0529)	Prec@1 51.000 (47.144)	Prec@5 79.500 (77.705)
Epoch: [36][8040/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 1.9838 (2.0529)	Prec@1 49.000 (47.144)	Prec@5 80.500 (77.706)
Epoch: [36][8050/9018]	Time 0.724 (0.612)	Data 0.001 (0.001)	Loss 2.0509 (2.0529)	Prec@1 46.500 (47.143)	Prec@5 78.000 (77.707)
Epoch: [36][8060/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.1312 (2.0529)	Prec@1 43.500 (47.143)	Prec@5 75.500 (77.706)
Epoch: [36][8070/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 1.9443 (2.0529)	Prec@1 45.500 (47.143)	Prec@5 80.500 (77.707)
Epoch: [36][8080/9018]	Time 0.639 (0.612)	Data 0.001 (0.001)	Loss 2.0017 (2.0529)	Prec@1 48.000 (47.143)	Prec@5 73.500 (77.707)
Epoch: [36][8090/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.8872 (2.0529)	Prec@1 51.500 (47.142)	Prec@5 80.000 (77.705)
Epoch: [36][8100/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 2.0794 (2.0530)	Prec@1 49.500 (47.142)	Prec@5 79.000 (77.705)
Epoch: [36][8110/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.0525 (2.0530)	Prec@1 49.000 (47.143)	Prec@5 75.500 (77.704)
Epoch: [36][8120/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.1587 (2.0531)	Prec@1 46.000 (47.141)	Prec@5 77.500 (77.703)
Epoch: [36][8130/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 1.9947 (2.0531)	Prec@1 46.000 (47.141)	Prec@5 79.500 (77.704)
Epoch: [36][8140/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.1070 (2.0532)	Prec@1 41.500 (47.139)	Prec@5 77.500 (77.702)
Epoch: [36][8150/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.1043 (2.0532)	Prec@1 46.500 (47.140)	Prec@5 77.500 (77.703)
Epoch: [36][8160/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 1.9843 (2.0533)	Prec@1 55.000 (47.138)	Prec@5 74.500 (77.701)
Epoch: [36][8170/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.0936 (2.0533)	Prec@1 51.000 (47.136)	Prec@5 75.500 (77.701)
Epoch: [36][8180/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.0462 (2.0533)	Prec@1 45.500 (47.136)	Prec@5 81.000 (77.700)
Epoch: [36][8190/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 1.9087 (2.0533)	Prec@1 51.000 (47.137)	Prec@5 79.000 (77.700)
Epoch: [36][8200/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.1171 (2.0534)	Prec@1 47.000 (47.136)	Prec@5 74.500 (77.699)
Epoch: [36][8210/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.2119 (2.0534)	Prec@1 39.000 (47.137)	Prec@5 76.500 (77.700)
Epoch: [36][8220/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 1.8589 (2.0534)	Prec@1 49.000 (47.138)	Prec@5 81.500 (77.701)
Epoch: [36][8230/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 2.1187 (2.0534)	Prec@1 43.000 (47.138)	Prec@5 77.500 (77.701)
Epoch: [36][8240/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.2133 (2.0535)	Prec@1 47.500 (47.137)	Prec@5 79.000 (77.700)
Epoch: [36][8250/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 1.8393 (2.0535)	Prec@1 52.000 (47.137)	Prec@5 82.000 (77.701)
Epoch: [36][8260/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.9928 (2.0535)	Prec@1 51.500 (47.137)	Prec@5 81.000 (77.701)
Epoch: [36][8270/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.1228 (2.0535)	Prec@1 42.500 (47.136)	Prec@5 77.000 (77.701)
Epoch: [36][8280/9018]	Time 0.631 (0.612)	Data 0.001 (0.001)	Loss 2.1666 (2.0535)	Prec@1 43.000 (47.138)	Prec@5 76.000 (77.703)
Epoch: [36][8290/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.7888 (2.0534)	Prec@1 49.500 (47.138)	Prec@5 84.500 (77.705)
Epoch: [36][8300/9018]	Time 0.621 (0.612)	Data 0.001 (0.001)	Loss 1.9609 (2.0534)	Prec@1 50.000 (47.139)	Prec@5 78.000 (77.706)
Epoch: [36][8310/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.2202 (2.0534)	Prec@1 44.500 (47.138)	Prec@5 71.000 (77.706)
Epoch: [36][8320/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 2.2522 (2.0535)	Prec@1 42.000 (47.135)	Prec@5 76.000 (77.705)
Epoch: [36][8330/9018]	Time 0.724 (0.612)	Data 0.001 (0.001)	Loss 2.2222 (2.0535)	Prec@1 46.500 (47.136)	Prec@5 77.000 (77.705)
Epoch: [36][8340/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.0566 (2.0536)	Prec@1 50.000 (47.136)	Prec@5 78.500 (77.703)
Epoch: [36][8350/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 2.1570 (2.0536)	Prec@1 43.500 (47.134)	Prec@5 74.500 (77.702)
Epoch: [36][8360/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.7742 (2.0536)	Prec@1 51.000 (47.133)	Prec@5 81.500 (77.702)
Epoch: [36][8370/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 1.9473 (2.0537)	Prec@1 47.000 (47.131)	Prec@5 81.000 (77.700)
Epoch: [36][8380/9018]	Time 0.744 (0.612)	Data 0.001 (0.001)	Loss 2.0696 (2.0537)	Prec@1 48.000 (47.130)	Prec@5 78.500 (77.700)
Epoch: [36][8390/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.1279 (2.0538)	Prec@1 45.000 (47.128)	Prec@5 77.500 (77.699)
Epoch: [36][8400/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 1.8880 (2.0538)	Prec@1 52.500 (47.128)	Prec@5 82.000 (77.697)
Epoch: [36][8410/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 1.8447 (2.0538)	Prec@1 54.500 (47.128)	Prec@5 77.500 (77.696)
Epoch: [36][8420/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.9002 (2.0538)	Prec@1 49.000 (47.129)	Prec@5 79.500 (77.697)
Epoch: [36][8430/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 1.8858 (2.0538)	Prec@1 47.000 (47.127)	Prec@5 83.000 (77.697)
Epoch: [36][8440/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.0634 (2.0538)	Prec@1 50.500 (47.128)	Prec@5 75.000 (77.697)
Epoch: [36][8450/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.1769 (2.0538)	Prec@1 48.000 (47.129)	Prec@5 72.000 (77.696)
Epoch: [36][8460/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.3890 (2.0539)	Prec@1 42.500 (47.127)	Prec@5 70.500 (77.695)
Epoch: [36][8470/9018]	Time 0.630 (0.612)	Data 0.001 (0.001)	Loss 2.2097 (2.0540)	Prec@1 43.500 (47.123)	Prec@5 71.500 (77.693)
Epoch: [36][8480/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.1873 (2.0539)	Prec@1 42.500 (47.125)	Prec@5 74.500 (77.695)
Epoch: [36][8490/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 2.0064 (2.0540)	Prec@1 47.000 (47.124)	Prec@5 80.000 (77.696)
Epoch: [36][8500/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 2.2133 (2.0541)	Prec@1 40.000 (47.122)	Prec@5 75.000 (77.695)
Epoch: [36][8510/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.0777 (2.0541)	Prec@1 50.500 (47.122)	Prec@5 76.000 (77.694)
Epoch: [36][8520/9018]	Time 0.634 (0.612)	Data 0.001 (0.001)	Loss 1.9209 (2.0541)	Prec@1 49.500 (47.121)	Prec@5 80.000 (77.692)
Epoch: [36][8530/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 2.1577 (2.0542)	Prec@1 50.500 (47.120)	Prec@5 74.500 (77.691)
Epoch: [36][8540/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.1552 (2.0542)	Prec@1 46.500 (47.119)	Prec@5 76.000 (77.691)
Epoch: [36][8550/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.9632 (2.0542)	Prec@1 49.000 (47.119)	Prec@5 80.000 (77.691)
Epoch: [36][8560/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 1.9595 (2.0542)	Prec@1 46.500 (47.119)	Prec@5 78.000 (77.688)
Epoch: [36][8570/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.9821 (2.0543)	Prec@1 45.500 (47.117)	Prec@5 79.000 (77.688)
Epoch: [36][8580/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.2418 (2.0544)	Prec@1 45.500 (47.114)	Prec@5 73.500 (77.686)
Epoch: [36][8590/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.1008 (2.0545)	Prec@1 48.500 (47.114)	Prec@5 74.000 (77.684)
Epoch: [36][8600/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 2.1434 (2.0544)	Prec@1 42.500 (47.114)	Prec@5 77.000 (77.686)
Epoch: [36][8610/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 2.1014 (2.0544)	Prec@1 48.000 (47.115)	Prec@5 75.500 (77.686)
Epoch: [36][8620/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.0652 (2.0544)	Prec@1 48.000 (47.114)	Prec@5 75.500 (77.686)
Epoch: [36][8630/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.8965 (2.0544)	Prec@1 51.500 (47.117)	Prec@5 80.500 (77.687)
Epoch: [36][8640/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 2.1116 (2.0544)	Prec@1 45.000 (47.115)	Prec@5 76.000 (77.686)
Epoch: [36][8650/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.0763 (2.0544)	Prec@1 47.000 (47.116)	Prec@5 75.500 (77.686)
Epoch: [36][8660/9018]	Time 0.720 (0.613)	Data 0.001 (0.001)	Loss 1.8793 (2.0544)	Prec@1 54.000 (47.114)	Prec@5 83.000 (77.685)
Epoch: [36][8670/9018]	Time 0.628 (0.613)	Data 0.001 (0.001)	Loss 2.1808 (2.0545)	Prec@1 44.500 (47.113)	Prec@5 74.000 (77.685)
Epoch: [36][8680/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.2454 (2.0545)	Prec@1 44.000 (47.113)	Prec@5 71.500 (77.686)
Epoch: [36][8690/9018]	Time 0.633 (0.613)	Data 0.001 (0.001)	Loss 2.0889 (2.0545)	Prec@1 47.000 (47.114)	Prec@5 75.000 (77.685)
Epoch: [36][8700/9018]	Time 0.629 (0.613)	Data 0.001 (0.001)	Loss 1.9078 (2.0545)	Prec@1 50.500 (47.114)	Prec@5 80.000 (77.685)
Epoch: [36][8710/9018]	Time 0.742 (0.613)	Data 0.001 (0.001)	Loss 2.0512 (2.0544)	Prec@1 46.000 (47.115)	Prec@5 78.000 (77.685)
Epoch: [36][8720/9018]	Time 0.622 (0.613)	Data 0.001 (0.001)	Loss 2.0994 (2.0544)	Prec@1 46.000 (47.116)	Prec@5 75.000 (77.686)
Epoch: [36][8730/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.7054 (2.0544)	Prec@1 56.500 (47.115)	Prec@5 84.500 (77.686)
Epoch: [36][8740/9018]	Time 0.622 (0.613)	Data 0.001 (0.001)	Loss 2.0366 (2.0545)	Prec@1 44.500 (47.115)	Prec@5 79.500 (77.685)
Epoch: [36][8750/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.1941 (2.0545)	Prec@1 45.000 (47.114)	Prec@5 77.000 (77.686)
Epoch: [36][8760/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.9325 (2.0546)	Prec@1 50.000 (47.112)	Prec@5 81.500 (77.683)
Epoch: [36][8770/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.1585 (2.0546)	Prec@1 46.000 (47.113)	Prec@5 74.500 (77.684)
Epoch: [36][8780/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.9409 (2.0546)	Prec@1 50.000 (47.112)	Prec@5 80.500 (77.684)
Epoch: [36][8790/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.0070 (2.0546)	Prec@1 52.000 (47.113)	Prec@5 74.500 (77.684)
Epoch: [36][8800/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.1695 (2.0545)	Prec@1 44.500 (47.115)	Prec@5 75.500 (77.685)
Epoch: [36][8810/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.7913 (2.0546)	Prec@1 51.000 (47.116)	Prec@5 81.500 (77.684)
Epoch: [36][8820/9018]	Time 0.619 (0.613)	Data 0.001 (0.001)	Loss 2.1628 (2.0546)	Prec@1 47.000 (47.115)	Prec@5 76.000 (77.682)
Epoch: [36][8830/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.1648 (2.0547)	Prec@1 46.000 (47.113)	Prec@5 73.000 (77.680)
Epoch: [36][8840/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.0663 (2.0547)	Prec@1 41.000 (47.112)	Prec@5 77.500 (77.680)
Epoch: [36][8850/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.1062 (2.0548)	Prec@1 48.000 (47.111)	Prec@5 77.000 (77.679)
Epoch: [36][8860/9018]	Time 0.591 (0.613)	Data 0.001 (0.001)	Loss 2.3007 (2.0548)	Prec@1 41.000 (47.112)	Prec@5 73.500 (77.680)
Epoch: [36][8870/9018]	Time 0.631 (0.613)	Data 0.001 (0.001)	Loss 2.0534 (2.0548)	Prec@1 48.500 (47.111)	Prec@5 76.000 (77.679)
Epoch: [36][8880/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.0702 (2.0549)	Prec@1 48.500 (47.110)	Prec@5 78.000 (77.678)
Epoch: [36][8890/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 1.6947 (2.0548)	Prec@1 55.000 (47.112)	Prec@5 84.500 (77.680)
Epoch: [36][8900/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.0345 (2.0547)	Prec@1 44.500 (47.113)	Prec@5 79.000 (77.682)
Epoch: [36][8910/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.0363 (2.0547)	Prec@1 44.500 (47.113)	Prec@5 77.500 (77.681)
Epoch: [36][8920/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 1.9860 (2.0547)	Prec@1 49.000 (47.114)	Prec@5 78.500 (77.681)
Epoch: [36][8930/9018]	Time 0.614 (0.613)	Data 0.001 (0.001)	Loss 2.2880 (2.0547)	Prec@1 42.000 (47.115)	Prec@5 72.500 (77.680)
Epoch: [36][8940/9018]	Time 0.636 (0.613)	Data 0.001 (0.001)	Loss 2.1455 (2.0547)	Prec@1 45.500 (47.116)	Prec@5 78.000 (77.680)
Epoch: [36][8950/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.0417 (2.0547)	Prec@1 49.500 (47.116)	Prec@5 78.000 (77.680)
Epoch: [36][8960/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.0592 (2.0547)	Prec@1 47.500 (47.117)	Prec@5 75.500 (77.680)
Epoch: [36][8970/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.9204 (2.0547)	Prec@1 54.000 (47.117)	Prec@5 78.500 (77.680)
Epoch: [36][8980/9018]	Time 0.589 (0.613)	Data 0.001 (0.001)	Loss 2.1500 (2.0548)	Prec@1 46.500 (47.116)	Prec@5 76.500 (77.680)
Epoch: [36][8990/9018]	Time 0.754 (0.613)	Data 0.001 (0.001)	Loss 2.0902 (2.0549)	Prec@1 44.000 (47.115)	Prec@5 74.500 (77.677)
Epoch: [36][9000/9018]	Time 0.631 (0.613)	Data 0.001 (0.001)	Loss 1.9561 (2.0549)	Prec@1 55.500 (47.116)	Prec@5 78.500 (77.677)
Epoch: [36][9010/9018]	Time 0.593 (0.613)	Data 0.000 (0.001)	Loss 2.0844 (2.0549)	Prec@1 47.000 (47.114)	Prec@5 78.500 (77.677)
Test: [0/183]	Time 1.386 (1.386)	Loss 2.6131 (2.6131)	Prec@1 34.500 (34.500)	Prec@5 68.000 (68.000)
Test: [10/183]	Time 0.200 (0.313)	Loss 1.7154 (1.8455)	Prec@1 54.500 (51.182)	Prec@5 82.500 (81.909)
Test: [20/183]	Time 0.192 (0.253)	Loss 2.0980 (1.7800)	Prec@1 46.500 (52.952)	Prec@5 79.500 (82.500)
Test: [30/183]	Time 0.187 (0.235)	Loss 2.4246 (1.7832)	Prec@1 29.000 (52.016)	Prec@5 72.500 (82.629)
Test: [40/183]	Time 0.198 (0.225)	Loss 2.4151 (1.7690)	Prec@1 36.000 (52.939)	Prec@5 74.000 (82.463)
Test: [50/183]	Time 0.185 (0.219)	Loss 1.6363 (1.7518)	Prec@1 55.000 (53.431)	Prec@5 86.500 (82.657)
Test: [60/183]	Time 0.198 (0.216)	Loss 1.9910 (1.8206)	Prec@1 51.000 (51.328)	Prec@5 80.000 (81.705)
Test: [70/183]	Time 0.184 (0.212)	Loss 1.8140 (1.8037)	Prec@1 51.000 (51.535)	Prec@5 86.500 (82.324)
Test: [80/183]	Time 0.190 (0.210)	Loss 1.4619 (1.7823)	Prec@1 57.000 (51.833)	Prec@5 91.500 (82.679)
Test: [90/183]	Time 0.195 (0.209)	Loss 2.2576 (1.7704)	Prec@1 43.000 (52.137)	Prec@5 74.000 (82.923)
Test: [100/183]	Time 0.196 (0.207)	Loss 0.7094 (1.7661)	Prec@1 77.500 (52.168)	Prec@5 95.500 (82.975)
Test: [110/183]	Time 0.201 (0.206)	Loss 0.5635 (1.7618)	Prec@1 86.500 (52.392)	Prec@5 97.000 (82.959)
Test: [120/183]	Time 0.181 (0.205)	Loss 2.0616 (1.7639)	Prec@1 40.000 (52.211)	Prec@5 77.000 (82.975)
Test: [130/183]	Time 0.192 (0.205)	Loss 2.9220 (1.7724)	Prec@1 21.500 (51.935)	Prec@5 70.500 (83.069)
Test: [140/183]	Time 0.198 (0.204)	Loss 1.5303 (1.7580)	Prec@1 62.500 (52.411)	Prec@5 85.000 (83.305)
Test: [150/183]	Time 0.221 (0.204)	Loss 0.6705 (1.7522)	Prec@1 82.000 (52.609)	Prec@5 98.000 (83.401)
Test: [160/183]	Time 0.210 (0.204)	Loss 1.6001 (1.7488)	Prec@1 54.500 (52.829)	Prec@5 82.000 (83.438)
Test: [170/183]	Time 0.181 (0.203)	Loss 2.1684 (1.7683)	Prec@1 40.000 (52.310)	Prec@5 82.500 (83.149)
Test: [180/183]	Time 0.190 (0.202)	Loss 1.9746 (1.7713)	Prec@1 49.000 (52.309)	Prec@5 81.500 (83.102)
 * Prec@1 52.268 Prec@5 83.110
Epoch: [37][0/9018]	Time 2.803 (2.803)	Data 2.173 (2.173)	Loss 2.0621 (2.0621)	Prec@1 47.500 (47.500)	Prec@5 79.000 (79.000)
Epoch: [37][10/9018]	Time 0.591 (0.811)	Data 0.001 (0.198)	Loss 2.0984 (2.0619)	Prec@1 40.500 (46.636)	Prec@5 77.000 (77.864)
Epoch: [37][20/9018]	Time 0.593 (0.709)	Data 0.001 (0.104)	Loss 2.0622 (2.0352)	Prec@1 45.500 (47.452)	Prec@5 81.500 (78.548)
Epoch: [37][30/9018]	Time 0.605 (0.677)	Data 0.001 (0.071)	Loss 1.9580 (2.0351)	Prec@1 46.500 (47.274)	Prec@5 81.500 (78.323)
Epoch: [37][40/9018]	Time 0.599 (0.661)	Data 0.001 (0.054)	Loss 2.0036 (2.0406)	Prec@1 53.000 (46.707)	Prec@5 78.500 (78.293)
Epoch: [37][50/9018]	Time 0.611 (0.649)	Data 0.001 (0.043)	Loss 1.9090 (2.0320)	Prec@1 48.000 (46.873)	Prec@5 80.500 (78.451)
Epoch: [37][60/9018]	Time 0.592 (0.644)	Data 0.001 (0.036)	Loss 1.8307 (2.0292)	Prec@1 54.000 (46.951)	Prec@5 81.500 (78.385)
Epoch: [37][70/9018]	Time 0.741 (0.641)	Data 0.001 (0.031)	Loss 2.0283 (2.0312)	Prec@1 47.500 (46.873)	Prec@5 77.000 (78.239)
Epoch: [37][80/9018]	Time 0.601 (0.637)	Data 0.001 (0.028)	Loss 1.9203 (2.0278)	Prec@1 47.000 (46.944)	Prec@5 83.500 (78.235)
Epoch: [37][90/9018]	Time 0.612 (0.635)	Data 0.001 (0.025)	Loss 1.9626 (2.0245)	Prec@1 49.000 (47.132)	Prec@5 80.500 (78.247)
Epoch: [37][100/9018]	Time 0.600 (0.632)	Data 0.001 (0.022)	Loss 1.8351 (2.0237)	Prec@1 51.500 (47.163)	Prec@5 81.000 (78.203)
Epoch: [37][110/9018]	Time 0.613 (0.631)	Data 0.001 (0.020)	Loss 1.9290 (2.0200)	Prec@1 49.500 (47.320)	Prec@5 79.000 (78.306)
Epoch: [37][120/9018]	Time 0.735 (0.631)	Data 0.001 (0.019)	Loss 1.8784 (2.0266)	Prec@1 51.500 (47.264)	Prec@5 81.000 (78.169)
Epoch: [37][130/9018]	Time 0.606 (0.629)	Data 0.001 (0.017)	Loss 2.1432 (2.0316)	Prec@1 44.000 (47.183)	Prec@5 79.000 (78.080)
Epoch: [37][140/9018]	Time 0.595 (0.628)	Data 0.001 (0.016)	Loss 1.9455 (2.0282)	Prec@1 51.500 (47.344)	Prec@5 81.000 (78.096)
Epoch: [37][150/9018]	Time 0.598 (0.627)	Data 0.001 (0.015)	Loss 2.0254 (2.0251)	Prec@1 49.500 (47.394)	Prec@5 78.500 (78.132)
Epoch: [37][160/9018]	Time 0.620 (0.626)	Data 0.001 (0.014)	Loss 1.9264 (2.0266)	Prec@1 46.500 (47.351)	Prec@5 80.000 (78.099)
Epoch: [37][170/9018]	Time 0.608 (0.625)	Data 0.001 (0.013)	Loss 2.0248 (2.0286)	Prec@1 51.000 (47.377)	Prec@5 79.000 (78.032)
Epoch: [37][180/9018]	Time 0.595 (0.624)	Data 0.001 (0.013)	Loss 2.0829 (2.0218)	Prec@1 44.000 (47.558)	Prec@5 77.500 (78.127)
Epoch: [37][190/9018]	Time 0.608 (0.624)	Data 0.001 (0.012)	Loss 1.9182 (2.0279)	Prec@1 48.500 (47.421)	Prec@5 82.000 (77.982)
Epoch: [37][200/9018]	Time 0.601 (0.623)	Data 0.001 (0.012)	Loss 1.9789 (2.0304)	Prec@1 52.000 (47.400)	Prec@5 78.500 (77.935)
Epoch: [37][210/9018]	Time 0.605 (0.623)	Data 0.001 (0.011)	Loss 2.2751 (2.0324)	Prec@1 40.500 (47.405)	Prec@5 71.500 (77.912)
Epoch: [37][220/9018]	Time 0.603 (0.623)	Data 0.001 (0.011)	Loss 2.0203 (2.0312)	Prec@1 46.500 (47.450)	Prec@5 75.000 (77.914)
Epoch: [37][230/9018]	Time 0.589 (0.622)	Data 0.001 (0.010)	Loss 1.9335 (2.0331)	Prec@1 45.000 (47.405)	Prec@5 82.000 (77.864)
Epoch: [37][240/9018]	Time 0.596 (0.622)	Data 0.001 (0.010)	Loss 2.0341 (2.0329)	Prec@1 46.500 (47.421)	Prec@5 74.500 (77.911)
Epoch: [37][250/9018]	Time 0.599 (0.621)	Data 0.001 (0.009)	Loss 2.0632 (2.0333)	Prec@1 42.000 (47.404)	Prec@5 77.500 (77.906)
Epoch: [37][260/9018]	Time 0.600 (0.621)	Data 0.001 (0.009)	Loss 1.7958 (2.0334)	Prec@1 51.000 (47.412)	Prec@5 83.000 (77.910)
Epoch: [37][270/9018]	Time 0.632 (0.622)	Data 0.001 (0.009)	Loss 1.9542 (2.0332)	Prec@1 48.000 (47.373)	Prec@5 81.000 (77.948)
Epoch: [37][280/9018]	Time 0.605 (0.622)	Data 0.001 (0.009)	Loss 2.2664 (2.0328)	Prec@1 44.000 (47.381)	Prec@5 71.500 (77.986)
Epoch: [37][290/9018]	Time 0.592 (0.622)	Data 0.001 (0.008)	Loss 1.9256 (2.0341)	Prec@1 49.000 (47.373)	Prec@5 82.000 (77.973)
Epoch: [37][300/9018]	Time 0.602 (0.621)	Data 0.001 (0.008)	Loss 2.1204 (2.0334)	Prec@1 39.500 (47.352)	Prec@5 80.000 (77.995)
Epoch: [37][310/9018]	Time 0.602 (0.621)	Data 0.001 (0.008)	Loss 1.9615 (2.0310)	Prec@1 52.500 (47.444)	Prec@5 81.500 (78.042)
Epoch: [37][320/9018]	Time 0.627 (0.621)	Data 0.001 (0.008)	Loss 2.2115 (2.0302)	Prec@1 46.000 (47.447)	Prec@5 75.000 (78.065)
Epoch: [37][330/9018]	Time 0.600 (0.621)	Data 0.001 (0.007)	Loss 1.9703 (2.0315)	Prec@1 44.500 (47.426)	Prec@5 81.000 (78.054)
Epoch: [37][340/9018]	Time 0.621 (0.621)	Data 0.001 (0.007)	Loss 2.1028 (2.0319)	Prec@1 45.500 (47.444)	Prec@5 77.500 (78.034)
Epoch: [37][350/9018]	Time 0.612 (0.620)	Data 0.001 (0.007)	Loss 2.1592 (2.0336)	Prec@1 46.500 (47.416)	Prec@5 78.000 (78.016)
Epoch: [37][360/9018]	Time 0.598 (0.620)	Data 0.001 (0.007)	Loss 2.0680 (2.0342)	Prec@1 47.500 (47.417)	Prec@5 76.000 (78.000)
Epoch: [37][370/9018]	Time 0.603 (0.620)	Data 0.001 (0.007)	Loss 2.0219 (2.0349)	Prec@1 48.500 (47.420)	Prec@5 81.500 (78.004)
Epoch: [37][380/9018]	Time 0.603 (0.620)	Data 0.001 (0.006)	Loss 2.0727 (2.0344)	Prec@1 45.500 (47.441)	Prec@5 78.000 (78.018)
Epoch: [37][390/9018]	Time 0.627 (0.620)	Data 0.001 (0.006)	Loss 1.9924 (2.0324)	Prec@1 50.500 (47.501)	Prec@5 80.500 (78.055)
Epoch: [37][400/9018]	Time 0.733 (0.620)	Data 0.001 (0.006)	Loss 2.1072 (2.0336)	Prec@1 47.000 (47.481)	Prec@5 78.000 (78.044)
Epoch: [37][410/9018]	Time 0.591 (0.619)	Data 0.001 (0.006)	Loss 2.1301 (2.0345)	Prec@1 47.500 (47.524)	Prec@5 79.500 (78.044)
Epoch: [37][420/9018]	Time 0.618 (0.619)	Data 0.001 (0.006)	Loss 2.1433 (2.0350)	Prec@1 50.500 (47.545)	Prec@5 76.000 (78.030)
Epoch: [37][430/9018]	Time 0.621 (0.619)	Data 0.001 (0.006)	Loss 1.9330 (2.0354)	Prec@1 47.000 (47.542)	Prec@5 79.000 (78.032)
Epoch: [37][440/9018]	Time 0.592 (0.619)	Data 0.001 (0.006)	Loss 2.2259 (2.0357)	Prec@1 47.000 (47.552)	Prec@5 77.000 (78.048)
Epoch: [37][450/9018]	Time 0.735 (0.619)	Data 0.001 (0.006)	Loss 1.9767 (2.0359)	Prec@1 53.000 (47.532)	Prec@5 76.500 (78.051)
Epoch: [37][460/9018]	Time 0.594 (0.619)	Data 0.001 (0.006)	Loss 2.0751 (2.0364)	Prec@1 49.500 (47.557)	Prec@5 76.500 (78.031)
Epoch: [37][470/9018]	Time 0.610 (0.619)	Data 0.001 (0.005)	Loss 1.9006 (2.0359)	Prec@1 52.000 (47.574)	Prec@5 82.000 (78.048)
Epoch: [37][480/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 1.9047 (2.0352)	Prec@1 48.500 (47.600)	Prec@5 80.000 (78.071)
Epoch: [37][490/9018]	Time 0.595 (0.618)	Data 0.001 (0.005)	Loss 1.8764 (2.0350)	Prec@1 48.000 (47.595)	Prec@5 81.500 (78.080)
Epoch: [37][500/9018]	Time 0.604 (0.619)	Data 0.001 (0.005)	Loss 2.0786 (2.0359)	Prec@1 43.500 (47.582)	Prec@5 78.000 (78.067)
Epoch: [37][510/9018]	Time 0.596 (0.619)	Data 0.001 (0.005)	Loss 2.1173 (2.0358)	Prec@1 43.000 (47.578)	Prec@5 78.500 (78.062)
Epoch: [37][520/9018]	Time 0.590 (0.618)	Data 0.001 (0.005)	Loss 2.2897 (2.0362)	Prec@1 41.500 (47.536)	Prec@5 76.000 (78.061)
Epoch: [37][530/9018]	Time 0.592 (0.618)	Data 0.001 (0.005)	Loss 1.9523 (2.0365)	Prec@1 46.500 (47.520)	Prec@5 79.000 (78.055)
Epoch: [37][540/9018]	Time 0.596 (0.618)	Data 0.001 (0.005)	Loss 2.1416 (2.0373)	Prec@1 45.500 (47.500)	Prec@5 72.500 (78.030)
Epoch: [37][550/9018]	Time 0.599 (0.618)	Data 0.001 (0.005)	Loss 2.3367 (2.0377)	Prec@1 42.000 (47.524)	Prec@5 74.000 (78.015)
Epoch: [37][560/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 1.9335 (2.0373)	Prec@1 51.000 (47.513)	Prec@5 79.500 (78.035)
Epoch: [37][570/9018]	Time 0.631 (0.618)	Data 0.001 (0.005)	Loss 2.0271 (2.0368)	Prec@1 46.500 (47.532)	Prec@5 76.000 (78.038)
Epoch: [37][580/9018]	Time 0.606 (0.618)	Data 0.001 (0.005)	Loss 1.8330 (2.0371)	Prec@1 51.500 (47.502)	Prec@5 81.500 (78.046)
Epoch: [37][590/9018]	Time 0.615 (0.618)	Data 0.001 (0.004)	Loss 1.9737 (2.0365)	Prec@1 45.000 (47.508)	Prec@5 83.000 (78.062)
Epoch: [37][600/9018]	Time 0.591 (0.618)	Data 0.001 (0.004)	Loss 2.1837 (2.0373)	Prec@1 41.500 (47.488)	Prec@5 74.000 (78.049)
Epoch: [37][610/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 2.0270 (2.0375)	Prec@1 48.500 (47.501)	Prec@5 78.500 (78.045)
Epoch: [37][620/9018]	Time 0.590 (0.618)	Data 0.001 (0.004)	Loss 1.9823 (2.0367)	Prec@1 44.500 (47.514)	Prec@5 77.500 (78.064)
Epoch: [37][630/9018]	Time 0.637 (0.618)	Data 0.001 (0.004)	Loss 2.0168 (2.0365)	Prec@1 47.500 (47.517)	Prec@5 78.500 (78.064)
Epoch: [37][640/9018]	Time 0.615 (0.618)	Data 0.001 (0.004)	Loss 2.1492 (2.0369)	Prec@1 41.500 (47.508)	Prec@5 78.000 (78.051)
Epoch: [37][650/9018]	Time 0.631 (0.618)	Data 0.001 (0.004)	Loss 2.2410 (2.0368)	Prec@1 46.000 (47.516)	Prec@5 73.500 (78.053)
Epoch: [37][660/9018]	Time 0.613 (0.618)	Data 0.001 (0.004)	Loss 1.9049 (2.0356)	Prec@1 48.500 (47.534)	Prec@5 82.500 (78.082)
Epoch: [37][670/9018]	Time 0.589 (0.617)	Data 0.001 (0.004)	Loss 2.1309 (2.0353)	Prec@1 49.500 (47.542)	Prec@5 76.500 (78.097)
Epoch: [37][680/9018]	Time 0.613 (0.617)	Data 0.001 (0.004)	Loss 2.0852 (2.0354)	Prec@1 45.000 (47.532)	Prec@5 79.000 (78.090)
Epoch: [37][690/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 2.1011 (2.0345)	Prec@1 47.000 (47.545)	Prec@5 78.000 (78.109)
Epoch: [37][700/9018]	Time 0.626 (0.617)	Data 0.001 (0.004)	Loss 2.2401 (2.0351)	Prec@1 41.500 (47.536)	Prec@5 71.000 (78.093)
Epoch: [37][710/9018]	Time 0.593 (0.617)	Data 0.001 (0.004)	Loss 2.2047 (2.0357)	Prec@1 39.500 (47.508)	Prec@5 74.500 (78.098)
Epoch: [37][720/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.2556 (2.0358)	Prec@1 45.000 (47.509)	Prec@5 75.500 (78.104)
Epoch: [37][730/9018]	Time 0.720 (0.617)	Data 0.001 (0.004)	Loss 1.9068 (2.0366)	Prec@1 49.000 (47.486)	Prec@5 80.500 (78.101)
Epoch: [37][740/9018]	Time 0.638 (0.617)	Data 0.001 (0.004)	Loss 2.0710 (2.0369)	Prec@1 46.000 (47.497)	Prec@5 78.000 (78.089)
Epoch: [37][750/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 1.9913 (2.0368)	Prec@1 47.000 (47.496)	Prec@5 79.000 (78.093)
Epoch: [37][760/9018]	Time 0.593 (0.617)	Data 0.001 (0.004)	Loss 1.8576 (2.0362)	Prec@1 50.500 (47.507)	Prec@5 81.500 (78.095)
Epoch: [37][770/9018]	Time 0.592 (0.617)	Data 0.001 (0.004)	Loss 2.1626 (2.0367)	Prec@1 45.500 (47.495)	Prec@5 75.500 (78.078)
Epoch: [37][780/9018]	Time 0.720 (0.617)	Data 0.001 (0.004)	Loss 1.9597 (2.0372)	Prec@1 50.500 (47.482)	Prec@5 77.500 (78.063)
Epoch: [37][790/9018]	Time 0.639 (0.617)	Data 0.001 (0.004)	Loss 2.2123 (2.0370)	Prec@1 38.500 (47.473)	Prec@5 74.500 (78.061)
Epoch: [37][800/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.9292 (2.0367)	Prec@1 50.500 (47.461)	Prec@5 83.000 (78.071)
Epoch: [37][810/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.2508 (2.0375)	Prec@1 41.500 (47.445)	Prec@5 72.500 (78.052)
Epoch: [37][820/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 1.9818 (2.0366)	Prec@1 49.000 (47.463)	Prec@5 77.000 (78.080)
Epoch: [37][830/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.1089 (2.0365)	Prec@1 44.500 (47.465)	Prec@5 79.000 (78.088)
Epoch: [37][840/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 2.0362 (2.0366)	Prec@1 48.500 (47.452)	Prec@5 79.500 (78.090)
Epoch: [37][850/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.1708 (2.0364)	Prec@1 45.500 (47.455)	Prec@5 73.500 (78.105)
Epoch: [37][860/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.0756 (2.0367)	Prec@1 46.500 (47.439)	Prec@5 78.000 (78.102)
Epoch: [37][870/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 2.1552 (2.0370)	Prec@1 46.000 (47.437)	Prec@5 79.000 (78.099)
Epoch: [37][880/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.9482 (2.0370)	Prec@1 53.500 (47.445)	Prec@5 79.000 (78.086)
Epoch: [37][890/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 1.9391 (2.0367)	Prec@1 44.500 (47.430)	Prec@5 84.500 (78.102)
Epoch: [37][900/9018]	Time 0.632 (0.617)	Data 0.001 (0.003)	Loss 2.0967 (2.0368)	Prec@1 48.000 (47.432)	Prec@5 80.000 (78.100)
Epoch: [37][910/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 1.9975 (2.0370)	Prec@1 46.000 (47.421)	Prec@5 82.000 (78.098)
Epoch: [37][920/9018]	Time 0.592 (0.617)	Data 0.001 (0.003)	Loss 1.9496 (2.0363)	Prec@1 50.500 (47.440)	Prec@5 81.500 (78.106)
Epoch: [37][930/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.0378 (2.0351)	Prec@1 46.000 (47.456)	Prec@5 78.000 (78.128)
Epoch: [37][940/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.2250 (2.0356)	Prec@1 46.000 (47.446)	Prec@5 77.000 (78.113)
Epoch: [37][950/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.0073 (2.0356)	Prec@1 47.500 (47.430)	Prec@5 76.500 (78.121)
Epoch: [37][960/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.0324 (2.0363)	Prec@1 46.500 (47.414)	Prec@5 81.500 (78.111)
Epoch: [37][970/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.8037 (2.0356)	Prec@1 52.500 (47.446)	Prec@5 80.500 (78.111)
Epoch: [37][980/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.2629 (2.0356)	Prec@1 45.000 (47.443)	Prec@5 72.500 (78.107)
Epoch: [37][990/9018]	Time 0.637 (0.616)	Data 0.001 (0.003)	Loss 1.9418 (2.0353)	Prec@1 50.000 (47.463)	Prec@5 78.000 (78.112)
Epoch: [37][1000/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.9586 (2.0355)	Prec@1 47.500 (47.455)	Prec@5 77.000 (78.109)
Epoch: [37][1010/9018]	Time 0.638 (0.616)	Data 0.001 (0.003)	Loss 2.0410 (2.0355)	Prec@1 41.000 (47.444)	Prec@5 78.500 (78.110)
Epoch: [37][1020/9018]	Time 0.633 (0.616)	Data 0.001 (0.003)	Loss 2.0615 (2.0351)	Prec@1 44.500 (47.446)	Prec@5 78.000 (78.119)
Epoch: [37][1030/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.3783 (2.0362)	Prec@1 42.000 (47.425)	Prec@5 74.000 (78.099)
Epoch: [37][1040/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.0793 (2.0357)	Prec@1 47.500 (47.434)	Prec@5 76.000 (78.108)
Epoch: [37][1050/9018]	Time 0.630 (0.616)	Data 0.001 (0.003)	Loss 2.0877 (2.0359)	Prec@1 45.500 (47.422)	Prec@5 76.000 (78.108)
Epoch: [37][1060/9018]	Time 0.713 (0.616)	Data 0.001 (0.003)	Loss 1.9843 (2.0360)	Prec@1 50.000 (47.413)	Prec@5 78.500 (78.110)
Epoch: [37][1070/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.8893 (2.0361)	Prec@1 54.000 (47.409)	Prec@5 79.500 (78.097)
Epoch: [37][1080/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 1.8544 (2.0364)	Prec@1 53.500 (47.417)	Prec@5 81.000 (78.100)
Epoch: [37][1090/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 2.0165 (2.0362)	Prec@1 45.500 (47.422)	Prec@5 81.000 (78.106)
Epoch: [37][1100/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.0832 (2.0362)	Prec@1 48.500 (47.422)	Prec@5 77.000 (78.109)
Epoch: [37][1110/9018]	Time 0.743 (0.616)	Data 0.001 (0.003)	Loss 2.1293 (2.0367)	Prec@1 46.500 (47.417)	Prec@5 72.500 (78.099)
Epoch: [37][1120/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.3017 (2.0370)	Prec@1 42.000 (47.422)	Prec@5 72.000 (78.083)
Epoch: [37][1130/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.8857 (2.0366)	Prec@1 52.000 (47.437)	Prec@5 83.500 (78.089)
Epoch: [37][1140/9018]	Time 0.629 (0.616)	Data 0.001 (0.003)	Loss 1.9017 (2.0368)	Prec@1 54.000 (47.452)	Prec@5 78.500 (78.075)
Epoch: [37][1150/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.0065 (2.0372)	Prec@1 51.000 (47.457)	Prec@5 79.000 (78.073)
Epoch: [37][1160/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 1.9350 (2.0367)	Prec@1 48.500 (47.467)	Prec@5 81.000 (78.081)
Epoch: [37][1170/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 2.0662 (2.0367)	Prec@1 45.000 (47.470)	Prec@5 72.500 (78.071)
Epoch: [37][1180/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 1.9469 (2.0373)	Prec@1 51.500 (47.452)	Prec@5 79.500 (78.060)
Epoch: [37][1190/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.9469 (2.0369)	Prec@1 47.000 (47.468)	Prec@5 81.500 (78.071)
Epoch: [37][1200/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.0003 (2.0374)	Prec@1 54.000 (47.458)	Prec@5 83.000 (78.068)
Epoch: [37][1210/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 2.0920 (2.0378)	Prec@1 42.500 (47.448)	Prec@5 80.500 (78.053)
Epoch: [37][1220/9018]	Time 0.643 (0.616)	Data 0.001 (0.003)	Loss 2.0595 (2.0378)	Prec@1 48.000 (47.444)	Prec@5 78.500 (78.049)
Epoch: [37][1230/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.0614 (2.0381)	Prec@1 44.000 (47.432)	Prec@5 79.000 (78.044)
Epoch: [37][1240/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.9834 (2.0381)	Prec@1 49.000 (47.434)	Prec@5 78.000 (78.041)
Epoch: [37][1250/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.9314 (2.0381)	Prec@1 47.500 (47.440)	Prec@5 77.000 (78.038)
Epoch: [37][1260/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.1569 (2.0379)	Prec@1 43.000 (47.449)	Prec@5 76.000 (78.042)
Epoch: [37][1270/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 1.8995 (2.0384)	Prec@1 48.500 (47.439)	Prec@5 83.000 (78.030)
Epoch: [37][1280/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.7560 (2.0381)	Prec@1 55.000 (47.453)	Prec@5 83.500 (78.039)
Epoch: [37][1290/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.0413 (2.0381)	Prec@1 45.000 (47.452)	Prec@5 79.000 (78.041)
Epoch: [37][1300/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1597 (2.0382)	Prec@1 44.000 (47.450)	Prec@5 75.000 (78.035)
Epoch: [37][1310/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.4166 (2.0389)	Prec@1 39.500 (47.427)	Prec@5 72.000 (78.022)
Epoch: [37][1320/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.9806 (2.0385)	Prec@1 52.000 (47.444)	Prec@5 77.500 (78.029)
Epoch: [37][1330/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 1.9230 (2.0383)	Prec@1 48.000 (47.448)	Prec@5 80.000 (78.039)
Epoch: [37][1340/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 1.7622 (2.0386)	Prec@1 56.500 (47.446)	Prec@5 84.000 (78.037)
Epoch: [37][1350/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 1.9483 (2.0387)	Prec@1 47.500 (47.432)	Prec@5 80.500 (78.036)
Epoch: [37][1360/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.8987 (2.0387)	Prec@1 50.500 (47.426)	Prec@5 82.500 (78.042)
Epoch: [37][1370/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.3687 (2.0394)	Prec@1 44.500 (47.418)	Prec@5 70.500 (78.031)
Epoch: [37][1380/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 1.8621 (2.0392)	Prec@1 54.000 (47.425)	Prec@5 79.500 (78.031)
Epoch: [37][1390/9018]	Time 0.727 (0.616)	Data 0.001 (0.002)	Loss 2.0003 (2.0391)	Prec@1 46.000 (47.430)	Prec@5 78.000 (78.036)
Epoch: [37][1400/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 1.9203 (2.0388)	Prec@1 52.000 (47.441)	Prec@5 81.500 (78.045)
Epoch: [37][1410/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.8475 (2.0386)	Prec@1 52.000 (47.443)	Prec@5 81.000 (78.047)
Epoch: [37][1420/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.2290 (2.0393)	Prec@1 43.500 (47.433)	Prec@5 75.500 (78.032)
Epoch: [37][1430/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.8237 (2.0389)	Prec@1 52.000 (47.448)	Prec@5 80.500 (78.041)
Epoch: [37][1440/9018]	Time 0.744 (0.616)	Data 0.001 (0.002)	Loss 1.8974 (2.0391)	Prec@1 51.000 (47.449)	Prec@5 78.500 (78.036)
Epoch: [37][1450/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 1.9783 (2.0392)	Prec@1 45.000 (47.451)	Prec@5 79.000 (78.035)
Epoch: [37][1460/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.0449 (2.0394)	Prec@1 48.500 (47.449)	Prec@5 76.500 (78.027)
Epoch: [37][1470/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 1.9091 (2.0391)	Prec@1 48.000 (47.456)	Prec@5 80.000 (78.033)
Epoch: [37][1480/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.1128 (2.0389)	Prec@1 43.000 (47.462)	Prec@5 76.500 (78.034)
Epoch: [37][1490/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1096 (2.0389)	Prec@1 48.000 (47.454)	Prec@5 75.000 (78.032)
Epoch: [37][1500/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0261 (2.0388)	Prec@1 45.500 (47.463)	Prec@5 80.000 (78.027)
Epoch: [37][1510/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.0506 (2.0387)	Prec@1 49.500 (47.465)	Prec@5 75.500 (78.029)
Epoch: [37][1520/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.2365 (2.0390)	Prec@1 43.000 (47.458)	Prec@5 74.000 (78.026)
Epoch: [37][1530/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.1565 (2.0387)	Prec@1 44.500 (47.474)	Prec@5 77.000 (78.034)
Epoch: [37][1540/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9005 (2.0381)	Prec@1 51.000 (47.485)	Prec@5 80.500 (78.049)
Epoch: [37][1550/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9879 (2.0372)	Prec@1 47.500 (47.500)	Prec@5 81.500 (78.068)
Epoch: [37][1560/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.1107 (2.0374)	Prec@1 43.000 (47.493)	Prec@5 78.000 (78.064)
Epoch: [37][1570/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.1469 (2.0374)	Prec@1 46.000 (47.487)	Prec@5 72.000 (78.064)
Epoch: [37][1580/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.8024 (2.0374)	Prec@1 51.000 (47.489)	Prec@5 82.500 (78.065)
Epoch: [37][1590/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2299 (2.0370)	Prec@1 47.000 (47.493)	Prec@5 76.000 (78.077)
Epoch: [37][1600/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.1240 (2.0370)	Prec@1 44.000 (47.492)	Prec@5 81.000 (78.086)
Epoch: [37][1610/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.0093 (2.0372)	Prec@1 46.500 (47.482)	Prec@5 78.500 (78.078)
Epoch: [37][1620/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.1088 (2.0374)	Prec@1 46.500 (47.486)	Prec@5 75.500 (78.078)
Epoch: [37][1630/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.2477 (2.0378)	Prec@1 43.000 (47.483)	Prec@5 74.500 (78.063)
Epoch: [37][1640/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9779 (2.0378)	Prec@1 48.000 (47.488)	Prec@5 77.500 (78.060)
Epoch: [37][1650/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 1.9813 (2.0381)	Prec@1 47.500 (47.477)	Prec@5 78.500 (78.053)
Epoch: [37][1660/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.9124 (2.0380)	Prec@1 50.500 (47.485)	Prec@5 78.000 (78.054)
Epoch: [37][1670/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.0701 (2.0380)	Prec@1 49.000 (47.486)	Prec@5 76.500 (78.052)
Epoch: [37][1680/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0934 (2.0380)	Prec@1 46.000 (47.486)	Prec@5 80.000 (78.052)
Epoch: [37][1690/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9752 (2.0378)	Prec@1 48.000 (47.498)	Prec@5 79.500 (78.052)
Epoch: [37][1700/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.1958 (2.0378)	Prec@1 44.000 (47.504)	Prec@5 73.500 (78.053)
Epoch: [37][1710/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.8034 (2.0376)	Prec@1 51.500 (47.513)	Prec@5 83.500 (78.053)
Epoch: [37][1720/9018]	Time 0.719 (0.616)	Data 0.001 (0.002)	Loss 1.9045 (2.0378)	Prec@1 47.500 (47.506)	Prec@5 84.000 (78.052)
Epoch: [37][1730/9018]	Time 0.637 (0.616)	Data 0.001 (0.002)	Loss 1.9863 (2.0378)	Prec@1 51.000 (47.505)	Prec@5 78.000 (78.053)
Epoch: [37][1740/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.0866 (2.0381)	Prec@1 47.000 (47.500)	Prec@5 75.500 (78.050)
Epoch: [37][1750/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.9930 (2.0384)	Prec@1 51.000 (47.496)	Prec@5 78.000 (78.042)
Epoch: [37][1760/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.9721 (2.0382)	Prec@1 48.000 (47.502)	Prec@5 75.500 (78.046)
Epoch: [37][1770/9018]	Time 0.722 (0.616)	Data 0.001 (0.002)	Loss 1.9931 (2.0382)	Prec@1 49.000 (47.496)	Prec@5 83.000 (78.045)
Epoch: [37][1780/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 1.8161 (2.0382)	Prec@1 54.500 (47.504)	Prec@5 81.500 (78.042)
Epoch: [37][1790/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1440 (2.0383)	Prec@1 48.000 (47.504)	Prec@5 77.500 (78.040)
Epoch: [37][1800/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.1846 (2.0385)	Prec@1 48.500 (47.501)	Prec@5 73.500 (78.036)
Epoch: [37][1810/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.1818 (2.0388)	Prec@1 45.000 (47.500)	Prec@5 78.500 (78.038)
Epoch: [37][1820/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.0739 (2.0388)	Prec@1 46.500 (47.496)	Prec@5 80.000 (78.043)
Epoch: [37][1830/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.0111 (2.0387)	Prec@1 47.000 (47.504)	Prec@5 79.000 (78.042)
Epoch: [37][1840/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.0414 (2.0383)	Prec@1 43.500 (47.510)	Prec@5 74.500 (78.046)
Epoch: [37][1850/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 1.9619 (2.0381)	Prec@1 50.500 (47.518)	Prec@5 79.000 (78.049)
Epoch: [37][1860/9018]	Time 0.588 (0.616)	Data 0.001 (0.002)	Loss 1.9531 (2.0381)	Prec@1 45.500 (47.520)	Prec@5 80.000 (78.048)
Epoch: [37][1870/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.2465 (2.0385)	Prec@1 45.000 (47.517)	Prec@5 73.000 (78.040)
Epoch: [37][1880/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 1.9501 (2.0388)	Prec@1 46.500 (47.512)	Prec@5 80.500 (78.037)
Epoch: [37][1890/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.9945 (2.0385)	Prec@1 51.000 (47.513)	Prec@5 80.000 (78.046)
Epoch: [37][1900/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.9344 (2.0380)	Prec@1 51.500 (47.528)	Prec@5 78.500 (78.058)
Epoch: [37][1910/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 1.9613 (2.0378)	Prec@1 42.500 (47.529)	Prec@5 81.000 (78.062)
Epoch: [37][1920/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.3609 (2.0378)	Prec@1 41.500 (47.536)	Prec@5 72.500 (78.061)
Epoch: [37][1930/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.0454 (2.0377)	Prec@1 48.500 (47.542)	Prec@5 78.500 (78.063)
Epoch: [37][1940/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.9636 (2.0374)	Prec@1 51.000 (47.547)	Prec@5 82.500 (78.070)
Epoch: [37][1950/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.1065 (2.0375)	Prec@1 49.500 (47.545)	Prec@5 75.500 (78.063)
Epoch: [37][1960/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0376 (2.0377)	Prec@1 44.500 (47.541)	Prec@5 79.000 (78.058)
Epoch: [37][1970/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.2085 (2.0378)	Prec@1 47.500 (47.541)	Prec@5 72.000 (78.055)
Epoch: [37][1980/9018]	Time 0.588 (0.616)	Data 0.001 (0.002)	Loss 2.1120 (2.0377)	Prec@1 45.000 (47.538)	Prec@5 78.500 (78.058)
Epoch: [37][1990/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.7434 (2.0377)	Prec@1 52.500 (47.532)	Prec@5 83.500 (78.054)
Epoch: [37][2000/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.2914 (2.0378)	Prec@1 46.500 (47.536)	Prec@5 74.000 (78.052)
Epoch: [37][2010/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.1159 (2.0378)	Prec@1 43.500 (47.534)	Prec@5 79.500 (78.051)
Epoch: [37][2020/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.8806 (2.0377)	Prec@1 50.000 (47.539)	Prec@5 78.000 (78.055)
Epoch: [37][2030/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.2647 (2.0377)	Prec@1 45.500 (47.541)	Prec@5 74.000 (78.049)
Epoch: [37][2040/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9795 (2.0375)	Prec@1 48.500 (47.545)	Prec@5 77.000 (78.048)
Epoch: [37][2050/9018]	Time 0.761 (0.616)	Data 0.001 (0.002)	Loss 2.1084 (2.0378)	Prec@1 48.500 (47.544)	Prec@5 73.000 (78.036)
Epoch: [37][2060/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.1318 (2.0378)	Prec@1 49.000 (47.544)	Prec@5 74.500 (78.032)
Epoch: [37][2070/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.1751 (2.0380)	Prec@1 43.500 (47.541)	Prec@5 80.000 (78.030)
Epoch: [37][2080/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.2228 (2.0381)	Prec@1 45.000 (47.539)	Prec@5 75.500 (78.027)
Epoch: [37][2090/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.0493 (2.0377)	Prec@1 46.000 (47.546)	Prec@5 78.500 (78.031)
Epoch: [37][2100/9018]	Time 0.708 (0.616)	Data 0.001 (0.002)	Loss 1.9320 (2.0375)	Prec@1 49.000 (47.546)	Prec@5 81.000 (78.037)
Epoch: [37][2110/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.1810 (2.0375)	Prec@1 46.500 (47.547)	Prec@5 73.000 (78.041)
Epoch: [37][2120/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.1267 (2.0375)	Prec@1 43.000 (47.547)	Prec@5 80.000 (78.040)
Epoch: [37][2130/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.0377 (2.0372)	Prec@1 46.500 (47.555)	Prec@5 76.500 (78.047)
Epoch: [37][2140/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 1.9320 (2.0371)	Prec@1 54.000 (47.557)	Prec@5 79.000 (78.048)
Epoch: [37][2150/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.9487 (2.0371)	Prec@1 49.500 (47.554)	Prec@5 76.000 (78.043)
Epoch: [37][2160/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 2.2473 (2.0373)	Prec@1 43.500 (47.549)	Prec@5 71.000 (78.040)
Epoch: [37][2170/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.9760 (2.0370)	Prec@1 49.000 (47.556)	Prec@5 77.000 (78.045)
Epoch: [37][2180/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.6523 (2.0367)	Prec@1 56.500 (47.557)	Prec@5 84.500 (78.052)
Epoch: [37][2190/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.1387 (2.0368)	Prec@1 47.000 (47.557)	Prec@5 77.500 (78.046)
Epoch: [37][2200/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0680 (2.0370)	Prec@1 44.000 (47.554)	Prec@5 81.500 (78.047)
Epoch: [37][2210/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 1.8467 (2.0373)	Prec@1 43.500 (47.544)	Prec@5 80.500 (78.040)
Epoch: [37][2220/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.0611 (2.0372)	Prec@1 48.000 (47.543)	Prec@5 79.500 (78.042)
Epoch: [37][2230/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.0190 (2.0376)	Prec@1 47.500 (47.539)	Prec@5 78.000 (78.033)
Epoch: [37][2240/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.1201 (2.0375)	Prec@1 47.500 (47.540)	Prec@5 78.000 (78.037)
Epoch: [37][2250/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0763 (2.0379)	Prec@1 44.000 (47.534)	Prec@5 75.000 (78.031)
Epoch: [37][2260/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.0519 (2.0377)	Prec@1 49.500 (47.539)	Prec@5 77.000 (78.031)
Epoch: [37][2270/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.9726 (2.0380)	Prec@1 50.500 (47.533)	Prec@5 77.000 (78.022)
Epoch: [37][2280/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.0578 (2.0380)	Prec@1 50.500 (47.532)	Prec@5 79.000 (78.026)
Epoch: [37][2290/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.2782 (2.0381)	Prec@1 45.500 (47.531)	Prec@5 70.500 (78.023)
Epoch: [37][2300/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.1733 (2.0378)	Prec@1 49.000 (47.541)	Prec@5 76.000 (78.029)
Epoch: [37][2310/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.1438 (2.0377)	Prec@1 46.000 (47.547)	Prec@5 74.500 (78.030)
Epoch: [37][2320/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.8405 (2.0378)	Prec@1 52.500 (47.546)	Prec@5 83.000 (78.028)
Epoch: [37][2330/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.0397 (2.0377)	Prec@1 45.500 (47.547)	Prec@5 79.500 (78.030)
Epoch: [37][2340/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.0421 (2.0379)	Prec@1 47.000 (47.545)	Prec@5 81.000 (78.028)
Epoch: [37][2350/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.1673 (2.0380)	Prec@1 43.000 (47.542)	Prec@5 76.500 (78.025)
Epoch: [37][2360/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.9597 (2.0379)	Prec@1 51.500 (47.544)	Prec@5 75.500 (78.022)
Epoch: [37][2370/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 1.8948 (2.0380)	Prec@1 54.000 (47.542)	Prec@5 79.000 (78.019)
Epoch: [37][2380/9018]	Time 0.725 (0.615)	Data 0.001 (0.002)	Loss 2.0254 (2.0381)	Prec@1 49.000 (47.540)	Prec@5 76.500 (78.013)
Epoch: [37][2390/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.0391 (2.0378)	Prec@1 48.500 (47.547)	Prec@5 77.000 (78.018)
Epoch: [37][2400/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9894 (2.0380)	Prec@1 46.000 (47.545)	Prec@5 79.500 (78.016)
Epoch: [37][2410/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.0941 (2.0382)	Prec@1 45.000 (47.541)	Prec@5 76.000 (78.012)
Epoch: [37][2420/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.0893 (2.0379)	Prec@1 45.000 (47.550)	Prec@5 76.000 (78.014)
Epoch: [37][2430/9018]	Time 0.734 (0.615)	Data 0.001 (0.002)	Loss 1.9046 (2.0380)	Prec@1 49.500 (47.547)	Prec@5 79.500 (78.014)
Epoch: [37][2440/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.2429 (2.0382)	Prec@1 41.500 (47.545)	Prec@5 74.000 (78.012)
Epoch: [37][2450/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0787 (2.0382)	Prec@1 49.500 (47.542)	Prec@5 75.000 (78.006)
Epoch: [37][2460/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.0316 (2.0382)	Prec@1 45.500 (47.543)	Prec@5 76.000 (78.005)
Epoch: [37][2470/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.0134 (2.0382)	Prec@1 48.000 (47.546)	Prec@5 78.000 (78.003)
Epoch: [37][2480/9018]	Time 0.636 (0.615)	Data 0.001 (0.002)	Loss 1.9188 (2.0385)	Prec@1 49.500 (47.538)	Prec@5 78.000 (77.998)
Epoch: [37][2490/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.9395 (2.0386)	Prec@1 50.000 (47.536)	Prec@5 79.000 (77.996)
Epoch: [37][2500/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0778 (2.0384)	Prec@1 45.500 (47.541)	Prec@5 76.500 (77.999)
Epoch: [37][2510/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.9143 (2.0384)	Prec@1 51.000 (47.540)	Prec@5 81.000 (77.998)
Epoch: [37][2520/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.7739 (2.0382)	Prec@1 54.000 (47.536)	Prec@5 83.000 (78.004)
Epoch: [37][2530/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.1502 (2.0384)	Prec@1 43.000 (47.526)	Prec@5 76.500 (78.001)
Epoch: [37][2540/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.0379 (2.0384)	Prec@1 51.000 (47.525)	Prec@5 76.500 (78.003)
Epoch: [37][2550/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 1.8205 (2.0381)	Prec@1 52.000 (47.527)	Prec@5 81.500 (78.011)
Epoch: [37][2560/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.0162 (2.0380)	Prec@1 48.500 (47.528)	Prec@5 78.500 (78.015)
Epoch: [37][2570/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 1.9278 (2.0379)	Prec@1 54.500 (47.530)	Prec@5 79.000 (78.017)
Epoch: [37][2580/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.8848 (2.0378)	Prec@1 48.000 (47.536)	Prec@5 81.000 (78.014)
Epoch: [37][2590/9018]	Time 0.639 (0.615)	Data 0.001 (0.002)	Loss 2.1866 (2.0379)	Prec@1 48.000 (47.534)	Prec@5 73.500 (78.006)
Epoch: [37][2600/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.1350 (2.0380)	Prec@1 48.000 (47.531)	Prec@5 78.500 (78.004)
Epoch: [37][2610/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.0236 (2.0378)	Prec@1 43.000 (47.535)	Prec@5 81.500 (78.008)
Epoch: [37][2620/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.8555 (2.0378)	Prec@1 52.500 (47.534)	Prec@5 81.000 (78.011)
Epoch: [37][2630/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.0652 (2.0377)	Prec@1 49.500 (47.530)	Prec@5 78.000 (78.012)
Epoch: [37][2640/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 1.9621 (2.0375)	Prec@1 52.000 (47.534)	Prec@5 79.500 (78.015)
Epoch: [37][2650/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0701 (2.0376)	Prec@1 44.000 (47.532)	Prec@5 78.500 (78.011)
Epoch: [37][2660/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.0239 (2.0378)	Prec@1 50.000 (47.531)	Prec@5 78.000 (78.007)
Epoch: [37][2670/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.0411 (2.0381)	Prec@1 44.000 (47.525)	Prec@5 83.500 (78.007)
Epoch: [37][2680/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.1829 (2.0380)	Prec@1 44.500 (47.521)	Prec@5 73.000 (78.006)
Epoch: [37][2690/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0296 (2.0381)	Prec@1 48.500 (47.516)	Prec@5 79.500 (78.003)
Epoch: [37][2700/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.0494 (2.0381)	Prec@1 44.000 (47.512)	Prec@5 77.000 (78.002)
Epoch: [37][2710/9018]	Time 0.710 (0.615)	Data 0.001 (0.002)	Loss 2.1225 (2.0383)	Prec@1 46.000 (47.506)	Prec@5 77.500 (77.994)
Epoch: [37][2720/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.0588 (2.0387)	Prec@1 44.000 (47.503)	Prec@5 80.000 (77.985)
Epoch: [37][2730/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.9730 (2.0389)	Prec@1 50.500 (47.497)	Prec@5 81.500 (77.982)
Epoch: [37][2740/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.2900 (2.0390)	Prec@1 42.000 (47.492)	Prec@5 72.500 (77.982)
Epoch: [37][2750/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.0976 (2.0387)	Prec@1 46.500 (47.494)	Prec@5 78.500 (77.989)
Epoch: [37][2760/9018]	Time 0.727 (0.615)	Data 0.001 (0.002)	Loss 2.0118 (2.0389)	Prec@1 52.500 (47.495)	Prec@5 78.000 (77.983)
Epoch: [37][2770/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0842 (2.0389)	Prec@1 45.500 (47.490)	Prec@5 78.500 (77.984)
Epoch: [37][2780/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.2168 (2.0390)	Prec@1 49.000 (47.490)	Prec@5 74.500 (77.983)
Epoch: [37][2790/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.0176 (2.0391)	Prec@1 47.000 (47.488)	Prec@5 77.000 (77.980)
Epoch: [37][2800/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0659 (2.0394)	Prec@1 47.500 (47.481)	Prec@5 80.000 (77.976)
Epoch: [37][2810/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9272 (2.0394)	Prec@1 50.000 (47.481)	Prec@5 77.500 (77.975)
Epoch: [37][2820/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.1462 (2.0396)	Prec@1 45.000 (47.478)	Prec@5 75.500 (77.970)
Epoch: [37][2830/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 1.9327 (2.0396)	Prec@1 51.000 (47.477)	Prec@5 80.500 (77.971)
Epoch: [37][2840/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0820 (2.0395)	Prec@1 45.000 (47.474)	Prec@5 75.500 (77.973)
Epoch: [37][2850/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.2620 (2.0396)	Prec@1 46.500 (47.474)	Prec@5 74.000 (77.970)
Epoch: [37][2860/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.0456 (2.0395)	Prec@1 46.500 (47.473)	Prec@5 78.000 (77.972)
Epoch: [37][2870/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.4047 (2.0398)	Prec@1 41.000 (47.466)	Prec@5 73.500 (77.969)
Epoch: [37][2880/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0415 (2.0398)	Prec@1 49.500 (47.463)	Prec@5 79.500 (77.968)
Epoch: [37][2890/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.0915 (2.0400)	Prec@1 47.500 (47.454)	Prec@5 76.500 (77.967)
Epoch: [37][2900/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.1513 (2.0401)	Prec@1 45.000 (47.451)	Prec@5 77.500 (77.966)
Epoch: [37][2910/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.9141 (2.0403)	Prec@1 49.000 (47.448)	Prec@5 79.500 (77.958)
Epoch: [37][2920/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.8841 (2.0403)	Prec@1 48.000 (47.444)	Prec@5 81.000 (77.954)
Epoch: [37][2930/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.0547 (2.0402)	Prec@1 42.000 (47.444)	Prec@5 77.000 (77.952)
Epoch: [37][2940/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.1331 (2.0403)	Prec@1 45.500 (47.442)	Prec@5 78.000 (77.953)
Epoch: [37][2950/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.1156 (2.0407)	Prec@1 48.000 (47.432)	Prec@5 71.000 (77.945)
Epoch: [37][2960/9018]	Time 0.637 (0.615)	Data 0.001 (0.002)	Loss 2.1203 (2.0409)	Prec@1 49.500 (47.432)	Prec@5 76.000 (77.940)
Epoch: [37][2970/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 1.9875 (2.0410)	Prec@1 50.000 (47.431)	Prec@5 76.500 (77.936)
Epoch: [37][2980/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.3199 (2.0413)	Prec@1 44.000 (47.428)	Prec@5 74.000 (77.930)
Epoch: [37][2990/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 1.8649 (2.0413)	Prec@1 49.500 (47.426)	Prec@5 79.000 (77.933)
Epoch: [37][3000/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.1187 (2.0412)	Prec@1 46.500 (47.431)	Prec@5 80.500 (77.936)
Epoch: [37][3010/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0509 (2.0414)	Prec@1 44.500 (47.423)	Prec@5 79.000 (77.935)
Epoch: [37][3020/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8148 (2.0413)	Prec@1 51.500 (47.424)	Prec@5 81.500 (77.932)
Epoch: [37][3030/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9792 (2.0415)	Prec@1 48.500 (47.418)	Prec@5 79.000 (77.928)
Epoch: [37][3040/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.0370 (2.0415)	Prec@1 47.000 (47.413)	Prec@5 80.000 (77.929)
Epoch: [37][3050/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1467 (2.0417)	Prec@1 42.000 (47.409)	Prec@5 79.500 (77.927)
Epoch: [37][3060/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8996 (2.0415)	Prec@1 50.500 (47.412)	Prec@5 78.500 (77.927)
Epoch: [37][3070/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0172 (2.0413)	Prec@1 48.500 (47.415)	Prec@5 75.000 (77.929)
Epoch: [37][3080/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8277 (2.0412)	Prec@1 52.000 (47.420)	Prec@5 83.500 (77.931)
Epoch: [37][3090/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.0555 (2.0411)	Prec@1 46.500 (47.421)	Prec@5 78.500 (77.930)
Epoch: [37][3100/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0000 (2.0412)	Prec@1 51.000 (47.421)	Prec@5 79.000 (77.932)
Epoch: [37][3110/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1626 (2.0412)	Prec@1 44.500 (47.420)	Prec@5 76.000 (77.935)
Epoch: [37][3120/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0262 (2.0412)	Prec@1 49.000 (47.420)	Prec@5 75.000 (77.932)
Epoch: [37][3130/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.0811 (2.0411)	Prec@1 49.500 (47.423)	Prec@5 75.500 (77.932)
Epoch: [37][3140/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0247 (2.0411)	Prec@1 49.500 (47.424)	Prec@5 79.000 (77.933)
Epoch: [37][3150/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0990 (2.0411)	Prec@1 51.000 (47.426)	Prec@5 78.000 (77.934)
Epoch: [37][3160/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0639 (2.0411)	Prec@1 46.000 (47.426)	Prec@5 77.500 (77.935)
Epoch: [37][3170/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0201 (2.0412)	Prec@1 51.500 (47.424)	Prec@5 80.500 (77.931)
Epoch: [37][3180/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0499 (2.0410)	Prec@1 50.500 (47.425)	Prec@5 78.500 (77.936)
Epoch: [37][3190/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0143 (2.0409)	Prec@1 46.000 (47.428)	Prec@5 77.500 (77.937)
Epoch: [37][3200/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0749 (2.0409)	Prec@1 45.000 (47.422)	Prec@5 76.000 (77.939)
Epoch: [37][3210/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9170 (2.0410)	Prec@1 45.500 (47.418)	Prec@5 82.000 (77.940)
Epoch: [37][3220/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1322 (2.0410)	Prec@1 42.000 (47.417)	Prec@5 75.000 (77.944)
Epoch: [37][3230/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8917 (2.0410)	Prec@1 51.000 (47.423)	Prec@5 81.000 (77.944)
Epoch: [37][3240/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0640 (2.0409)	Prec@1 46.000 (47.426)	Prec@5 76.000 (77.944)
Epoch: [37][3250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1158 (2.0409)	Prec@1 50.500 (47.429)	Prec@5 76.000 (77.945)
Epoch: [37][3260/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2897 (2.0409)	Prec@1 44.500 (47.429)	Prec@5 78.000 (77.946)
Epoch: [37][3270/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9819 (2.0408)	Prec@1 45.500 (47.432)	Prec@5 77.500 (77.948)
Epoch: [37][3280/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2090 (2.0408)	Prec@1 39.000 (47.432)	Prec@5 76.000 (77.949)
Epoch: [37][3290/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3276 (2.0411)	Prec@1 41.000 (47.427)	Prec@5 72.000 (77.943)
Epoch: [37][3300/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9546 (2.0410)	Prec@1 49.500 (47.429)	Prec@5 79.500 (77.945)
Epoch: [37][3310/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2197 (2.0412)	Prec@1 49.000 (47.426)	Prec@5 71.000 (77.937)
Epoch: [37][3320/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1467 (2.0415)	Prec@1 47.500 (47.414)	Prec@5 71.000 (77.929)
Epoch: [37][3330/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1007 (2.0415)	Prec@1 50.000 (47.417)	Prec@5 75.000 (77.927)
Epoch: [37][3340/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1332 (2.0415)	Prec@1 43.000 (47.417)	Prec@5 78.000 (77.925)
Epoch: [37][3350/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1368 (2.0417)	Prec@1 43.000 (47.413)	Prec@5 79.000 (77.923)
Epoch: [37][3360/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9827 (2.0418)	Prec@1 49.000 (47.413)	Prec@5 80.000 (77.921)
Epoch: [37][3370/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.0030 (2.0418)	Prec@1 48.500 (47.416)	Prec@5 79.000 (77.923)
Epoch: [37][3380/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.1393 (2.0419)	Prec@1 46.000 (47.418)	Prec@5 75.500 (77.919)
Epoch: [37][3390/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2451 (2.0419)	Prec@1 43.000 (47.419)	Prec@5 74.000 (77.915)
Epoch: [37][3400/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.0889 (2.0420)	Prec@1 51.000 (47.418)	Prec@5 79.000 (77.915)
Epoch: [37][3410/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1740 (2.0420)	Prec@1 39.500 (47.416)	Prec@5 76.000 (77.915)
Epoch: [37][3420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8451 (2.0420)	Prec@1 50.000 (47.415)	Prec@5 80.000 (77.913)
Epoch: [37][3430/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.1875 (2.0421)	Prec@1 42.500 (47.415)	Prec@5 72.500 (77.912)
Epoch: [37][3440/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1391 (2.0421)	Prec@1 48.000 (47.419)	Prec@5 74.000 (77.907)
Epoch: [37][3450/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0890 (2.0424)	Prec@1 45.500 (47.413)	Prec@5 76.500 (77.901)
Epoch: [37][3460/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.1693 (2.0427)	Prec@1 49.000 (47.409)	Prec@5 74.000 (77.895)
Epoch: [37][3470/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1762 (2.0428)	Prec@1 48.500 (47.407)	Prec@5 73.500 (77.893)
Epoch: [37][3480/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0956 (2.0427)	Prec@1 45.500 (47.409)	Prec@5 79.000 (77.895)
Epoch: [37][3490/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.9510 (2.0427)	Prec@1 51.500 (47.408)	Prec@5 81.500 (77.896)
Epoch: [37][3500/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.1819 (2.0428)	Prec@1 46.000 (47.409)	Prec@5 74.500 (77.890)
Epoch: [37][3510/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2688 (2.0430)	Prec@1 38.000 (47.401)	Prec@5 75.000 (77.884)
Epoch: [37][3520/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.1271 (2.0430)	Prec@1 47.000 (47.400)	Prec@5 74.500 (77.880)
Epoch: [37][3530/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9222 (2.0431)	Prec@1 46.000 (47.402)	Prec@5 77.500 (77.879)
Epoch: [37][3540/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0102 (2.0429)	Prec@1 46.500 (47.405)	Prec@5 75.500 (77.883)
Epoch: [37][3550/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0294 (2.0429)	Prec@1 46.500 (47.408)	Prec@5 78.500 (77.884)
Epoch: [37][3560/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9806 (2.0430)	Prec@1 51.500 (47.408)	Prec@5 79.000 (77.882)
Epoch: [37][3570/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.1815 (2.0428)	Prec@1 42.500 (47.411)	Prec@5 75.500 (77.885)
Epoch: [37][3580/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.8867 (2.0426)	Prec@1 54.000 (47.413)	Prec@5 81.000 (77.890)
Epoch: [37][3590/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0061 (2.0428)	Prec@1 46.500 (47.412)	Prec@5 75.000 (77.886)
Epoch: [37][3600/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1160 (2.0430)	Prec@1 48.500 (47.407)	Prec@5 76.000 (77.882)
Epoch: [37][3610/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9571 (2.0431)	Prec@1 47.500 (47.405)	Prec@5 82.500 (77.882)
Epoch: [37][3620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0768 (2.0430)	Prec@1 46.500 (47.408)	Prec@5 77.500 (77.883)
Epoch: [37][3630/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1279 (2.0430)	Prec@1 47.000 (47.405)	Prec@5 75.000 (77.883)
Epoch: [37][3640/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0044 (2.0430)	Prec@1 51.000 (47.406)	Prec@5 76.000 (77.881)
Epoch: [37][3650/9018]	Time 0.778 (0.615)	Data 0.001 (0.001)	Loss 2.1403 (2.0429)	Prec@1 45.500 (47.407)	Prec@5 79.000 (77.883)
Epoch: [37][3660/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9904 (2.0430)	Prec@1 49.000 (47.405)	Prec@5 77.500 (77.882)
Epoch: [37][3670/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.1090 (2.0431)	Prec@1 45.000 (47.405)	Prec@5 77.500 (77.883)
Epoch: [37][3680/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1383 (2.0432)	Prec@1 47.000 (47.403)	Prec@5 77.500 (77.877)
Epoch: [37][3690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9593 (2.0432)	Prec@1 49.000 (47.406)	Prec@5 82.500 (77.877)
Epoch: [37][3700/9018]	Time 0.711 (0.615)	Data 0.001 (0.001)	Loss 1.8034 (2.0430)	Prec@1 50.500 (47.412)	Prec@5 82.000 (77.879)
Epoch: [37][3710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9760 (2.0430)	Prec@1 55.000 (47.412)	Prec@5 77.500 (77.879)
Epoch: [37][3720/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0015 (2.0429)	Prec@1 49.000 (47.411)	Prec@5 77.000 (77.883)
Epoch: [37][3730/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2168 (2.0428)	Prec@1 42.000 (47.415)	Prec@5 75.500 (77.886)
Epoch: [37][3740/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0766 (2.0429)	Prec@1 47.000 (47.413)	Prec@5 76.000 (77.884)
Epoch: [37][3750/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7956 (2.0430)	Prec@1 50.000 (47.409)	Prec@5 82.500 (77.881)
Epoch: [37][3760/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1440 (2.0430)	Prec@1 46.500 (47.408)	Prec@5 75.500 (77.876)
Epoch: [37][3770/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0932 (2.0431)	Prec@1 46.000 (47.406)	Prec@5 77.500 (77.876)
Epoch: [37][3780/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0431 (2.0431)	Prec@1 50.000 (47.407)	Prec@5 76.500 (77.874)
Epoch: [37][3790/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0786 (2.0431)	Prec@1 47.500 (47.404)	Prec@5 75.500 (77.873)
Epoch: [37][3800/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0361 (2.0431)	Prec@1 43.000 (47.405)	Prec@5 76.000 (77.873)
Epoch: [37][3810/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1267 (2.0430)	Prec@1 46.500 (47.407)	Prec@5 78.500 (77.874)
Epoch: [37][3820/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0443 (2.0429)	Prec@1 50.500 (47.409)	Prec@5 79.500 (77.876)
Epoch: [37][3830/9018]	Time 0.643 (0.615)	Data 0.001 (0.001)	Loss 2.0214 (2.0429)	Prec@1 47.000 (47.410)	Prec@5 78.500 (77.874)
Epoch: [37][3840/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0851 (2.0428)	Prec@1 46.500 (47.411)	Prec@5 77.500 (77.876)
Epoch: [37][3850/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.2134 (2.0429)	Prec@1 46.000 (47.405)	Prec@5 74.000 (77.874)
Epoch: [37][3860/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8943 (2.0427)	Prec@1 50.500 (47.407)	Prec@5 79.500 (77.876)
Epoch: [37][3870/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9956 (2.0429)	Prec@1 50.500 (47.406)	Prec@5 79.000 (77.871)
Epoch: [37][3880/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 1.9101 (2.0429)	Prec@1 51.000 (47.405)	Prec@5 83.000 (77.872)
Epoch: [37][3890/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0479 (2.0428)	Prec@1 50.000 (47.408)	Prec@5 77.000 (77.873)
Epoch: [37][3900/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0284 (2.0427)	Prec@1 46.000 (47.408)	Prec@5 79.500 (77.875)
Epoch: [37][3910/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.2611 (2.0428)	Prec@1 41.000 (47.408)	Prec@5 73.500 (77.875)
Epoch: [37][3920/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2371 (2.0429)	Prec@1 40.000 (47.403)	Prec@5 75.000 (77.877)
Epoch: [37][3930/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0103 (2.0429)	Prec@1 48.000 (47.400)	Prec@5 81.500 (77.878)
Epoch: [37][3940/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1066 (2.0430)	Prec@1 45.500 (47.397)	Prec@5 76.500 (77.875)
Epoch: [37][3950/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9517 (2.0430)	Prec@1 48.000 (47.400)	Prec@5 82.000 (77.874)
Epoch: [37][3960/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.2020 (2.0430)	Prec@1 44.500 (47.401)	Prec@5 76.000 (77.872)
Epoch: [37][3970/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0713 (2.0430)	Prec@1 48.500 (47.400)	Prec@5 76.500 (77.872)
Epoch: [37][3980/9018]	Time 0.773 (0.615)	Data 0.001 (0.001)	Loss 2.1693 (2.0430)	Prec@1 47.500 (47.400)	Prec@5 74.000 (77.876)
Epoch: [37][3990/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0846 (2.0432)	Prec@1 44.500 (47.391)	Prec@5 77.500 (77.871)
Epoch: [37][4000/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.8954 (2.0433)	Prec@1 47.500 (47.387)	Prec@5 77.000 (77.869)
Epoch: [37][4010/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0234 (2.0432)	Prec@1 46.000 (47.385)	Prec@5 76.500 (77.871)
Epoch: [37][4020/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0987 (2.0431)	Prec@1 43.500 (47.386)	Prec@5 78.500 (77.875)
Epoch: [37][4030/9018]	Time 0.754 (0.615)	Data 0.001 (0.001)	Loss 1.8940 (2.0430)	Prec@1 51.000 (47.385)	Prec@5 81.500 (77.875)
Epoch: [37][4040/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.0714 (2.0432)	Prec@1 51.000 (47.380)	Prec@5 77.000 (77.872)
Epoch: [37][4050/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9979 (2.0432)	Prec@1 47.500 (47.379)	Prec@5 77.500 (77.873)
Epoch: [37][4060/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.7989 (2.0430)	Prec@1 54.500 (47.382)	Prec@5 79.500 (77.876)
Epoch: [37][4070/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1346 (2.0431)	Prec@1 44.500 (47.380)	Prec@5 76.500 (77.875)
Epoch: [37][4080/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2212 (2.0432)	Prec@1 37.500 (47.373)	Prec@5 76.000 (77.874)
Epoch: [37][4090/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0059 (2.0433)	Prec@1 53.000 (47.371)	Prec@5 77.500 (77.870)
Epoch: [37][4100/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0543 (2.0433)	Prec@1 45.500 (47.369)	Prec@5 77.500 (77.871)
Epoch: [37][4110/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9620 (2.0433)	Prec@1 47.500 (47.373)	Prec@5 78.500 (77.869)
Epoch: [37][4120/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.4530 (2.0434)	Prec@1 42.000 (47.372)	Prec@5 72.500 (77.867)
Epoch: [37][4130/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9539 (2.0434)	Prec@1 48.500 (47.376)	Prec@5 78.500 (77.866)
Epoch: [37][4140/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0901 (2.0433)	Prec@1 45.000 (47.379)	Prec@5 77.500 (77.867)
Epoch: [37][4150/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.1409 (2.0434)	Prec@1 45.500 (47.377)	Prec@5 73.500 (77.868)
Epoch: [37][4160/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1171 (2.0435)	Prec@1 46.000 (47.376)	Prec@5 77.000 (77.864)
Epoch: [37][4170/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0928 (2.0436)	Prec@1 47.000 (47.372)	Prec@5 77.500 (77.860)
Epoch: [37][4180/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0912 (2.0436)	Prec@1 50.000 (47.371)	Prec@5 78.000 (77.861)
Epoch: [37][4190/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0215 (2.0436)	Prec@1 45.500 (47.372)	Prec@5 79.000 (77.862)
Epoch: [37][4200/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9734 (2.0435)	Prec@1 50.000 (47.374)	Prec@5 79.500 (77.866)
Epoch: [37][4210/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.2601 (2.0436)	Prec@1 42.500 (47.367)	Prec@5 68.500 (77.864)
Epoch: [37][4220/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0415 (2.0437)	Prec@1 47.500 (47.369)	Prec@5 78.500 (77.862)
Epoch: [37][4230/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9272 (2.0437)	Prec@1 49.500 (47.370)	Prec@5 79.000 (77.862)
Epoch: [37][4240/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9813 (2.0439)	Prec@1 49.000 (47.367)	Prec@5 78.000 (77.856)
Epoch: [37][4250/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0102 (2.0439)	Prec@1 49.000 (47.369)	Prec@5 76.500 (77.857)
Epoch: [37][4260/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9138 (2.0440)	Prec@1 47.500 (47.370)	Prec@5 80.000 (77.856)
Epoch: [37][4270/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8724 (2.0439)	Prec@1 53.000 (47.368)	Prec@5 81.000 (77.857)
Epoch: [37][4280/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1806 (2.0439)	Prec@1 44.000 (47.369)	Prec@5 77.500 (77.858)
Epoch: [37][4290/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0574 (2.0438)	Prec@1 49.000 (47.373)	Prec@5 76.000 (77.857)
Epoch: [37][4300/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 1.9786 (2.0437)	Prec@1 48.500 (47.376)	Prec@5 76.000 (77.861)
Epoch: [37][4310/9018]	Time 0.789 (0.615)	Data 0.001 (0.001)	Loss 1.9468 (2.0438)	Prec@1 48.000 (47.373)	Prec@5 77.500 (77.856)
Epoch: [37][4320/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.0791 (2.0439)	Prec@1 43.500 (47.370)	Prec@5 82.000 (77.856)
Epoch: [37][4330/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0330 (2.0440)	Prec@1 49.000 (47.368)	Prec@5 79.000 (77.853)
Epoch: [37][4340/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.8674 (2.0440)	Prec@1 54.500 (47.367)	Prec@5 82.500 (77.854)
Epoch: [37][4350/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9260 (2.0440)	Prec@1 51.000 (47.368)	Prec@5 80.500 (77.854)
Epoch: [37][4360/9018]	Time 0.775 (0.615)	Data 0.001 (0.001)	Loss 2.2509 (2.0442)	Prec@1 43.500 (47.361)	Prec@5 78.500 (77.851)
Epoch: [37][4370/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0885 (2.0443)	Prec@1 49.500 (47.359)	Prec@5 79.500 (77.850)
Epoch: [37][4380/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0606 (2.0444)	Prec@1 47.000 (47.358)	Prec@5 76.500 (77.849)
Epoch: [37][4390/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9243 (2.0443)	Prec@1 57.500 (47.361)	Prec@5 77.500 (77.850)
Epoch: [37][4400/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1957 (2.0445)	Prec@1 43.500 (47.360)	Prec@5 77.500 (77.846)
Epoch: [37][4410/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9742 (2.0445)	Prec@1 45.000 (47.358)	Prec@5 78.500 (77.847)
Epoch: [37][4420/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0838 (2.0447)	Prec@1 45.000 (47.352)	Prec@5 78.500 (77.844)
Epoch: [37][4430/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9744 (2.0447)	Prec@1 47.500 (47.351)	Prec@5 81.500 (77.843)
Epoch: [37][4440/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1181 (2.0448)	Prec@1 46.000 (47.352)	Prec@5 77.500 (77.844)
Epoch: [37][4450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0143 (2.0448)	Prec@1 52.000 (47.352)	Prec@5 73.000 (77.843)
Epoch: [37][4460/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9734 (2.0448)	Prec@1 52.000 (47.353)	Prec@5 82.500 (77.844)
Epoch: [37][4470/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8616 (2.0447)	Prec@1 55.000 (47.356)	Prec@5 80.500 (77.843)
Epoch: [37][4480/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7397 (2.0448)	Prec@1 53.500 (47.354)	Prec@5 83.500 (77.842)
Epoch: [37][4490/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.0085 (2.0449)	Prec@1 45.000 (47.353)	Prec@5 79.500 (77.840)
Epoch: [37][4500/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1001 (2.0449)	Prec@1 46.500 (47.348)	Prec@5 74.500 (77.841)
Epoch: [37][4510/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9477 (2.0450)	Prec@1 49.500 (47.346)	Prec@5 79.000 (77.838)
Epoch: [37][4520/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0660 (2.0451)	Prec@1 46.500 (47.345)	Prec@5 76.500 (77.838)
Epoch: [37][4530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8801 (2.0451)	Prec@1 54.000 (47.347)	Prec@5 78.500 (77.834)
Epoch: [37][4540/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0301 (2.0451)	Prec@1 44.000 (47.344)	Prec@5 77.500 (77.832)
Epoch: [37][4550/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.9690 (2.0451)	Prec@1 48.500 (47.347)	Prec@5 80.500 (77.834)
Epoch: [37][4560/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3582 (2.0451)	Prec@1 39.500 (47.346)	Prec@5 74.000 (77.834)
Epoch: [37][4570/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.2713 (2.0452)	Prec@1 45.000 (47.348)	Prec@5 72.000 (77.832)
Epoch: [37][4580/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0271 (2.0452)	Prec@1 48.500 (47.345)	Prec@5 77.500 (77.831)
Epoch: [37][4590/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1727 (2.0453)	Prec@1 44.000 (47.347)	Prec@5 77.000 (77.830)
Epoch: [37][4600/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2633 (2.0453)	Prec@1 46.500 (47.349)	Prec@5 69.500 (77.827)
Epoch: [37][4610/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0987 (2.0454)	Prec@1 41.000 (47.348)	Prec@5 78.500 (77.826)
Epoch: [37][4620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9372 (2.0454)	Prec@1 51.000 (47.349)	Prec@5 79.500 (77.827)
Epoch: [37][4630/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1080 (2.0453)	Prec@1 49.500 (47.348)	Prec@5 77.000 (77.828)
Epoch: [37][4640/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 1.9527 (2.0453)	Prec@1 48.500 (47.348)	Prec@5 81.500 (77.828)
Epoch: [37][4650/9018]	Time 0.990 (0.615)	Data 0.404 (0.002)	Loss 2.1159 (2.0452)	Prec@1 43.500 (47.351)	Prec@5 78.500 (77.829)
Epoch: [37][4660/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.0792 (2.0451)	Prec@1 48.500 (47.353)	Prec@5 77.000 (77.830)
Epoch: [37][4670/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0093 (2.0451)	Prec@1 42.500 (47.353)	Prec@5 77.500 (77.832)
Epoch: [37][4680/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1167 (2.0452)	Prec@1 48.000 (47.352)	Prec@5 78.500 (77.831)
Epoch: [37][4690/9018]	Time 0.695 (0.615)	Data 0.001 (0.001)	Loss 2.1424 (2.0453)	Prec@1 46.000 (47.347)	Prec@5 77.000 (77.829)
Epoch: [37][4700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1649 (2.0453)	Prec@1 44.500 (47.349)	Prec@5 78.000 (77.831)
Epoch: [37][4710/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9099 (2.0455)	Prec@1 49.000 (47.345)	Prec@5 78.500 (77.827)
Epoch: [37][4720/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9270 (2.0455)	Prec@1 47.500 (47.343)	Prec@5 79.000 (77.826)
Epoch: [37][4730/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1943 (2.0456)	Prec@1 47.000 (47.343)	Prec@5 73.500 (77.824)
Epoch: [37][4740/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9752 (2.0454)	Prec@1 50.000 (47.347)	Prec@5 79.000 (77.826)
Epoch: [37][4750/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.7339 (2.0452)	Prec@1 51.500 (47.350)	Prec@5 85.500 (77.830)
Epoch: [37][4760/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9084 (2.0452)	Prec@1 47.500 (47.350)	Prec@5 78.500 (77.830)
Epoch: [37][4770/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.8333 (2.0450)	Prec@1 52.500 (47.353)	Prec@5 82.000 (77.834)
Epoch: [37][4780/9018]	Time 0.603 (0.615)	Data 0.017 (0.001)	Loss 2.0601 (2.0450)	Prec@1 48.500 (47.354)	Prec@5 77.000 (77.831)
Epoch: [37][4790/9018]	Time 0.645 (0.615)	Data 0.001 (0.001)	Loss 2.0264 (2.0449)	Prec@1 45.500 (47.356)	Prec@5 76.500 (77.831)
Epoch: [37][4800/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1951 (2.0450)	Prec@1 44.500 (47.351)	Prec@5 75.000 (77.831)
Epoch: [37][4810/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0141 (2.0448)	Prec@1 49.500 (47.355)	Prec@5 79.000 (77.834)
Epoch: [37][4820/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.4045 (2.0450)	Prec@1 38.500 (47.355)	Prec@5 70.500 (77.830)
Epoch: [37][4830/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9955 (2.0448)	Prec@1 48.500 (47.360)	Prec@5 78.000 (77.834)
Epoch: [37][4840/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.2136 (2.0449)	Prec@1 48.500 (47.358)	Prec@5 75.000 (77.834)
Epoch: [37][4850/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0757 (2.0450)	Prec@1 47.000 (47.359)	Prec@5 80.500 (77.833)
Epoch: [37][4860/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2372 (2.0452)	Prec@1 39.500 (47.355)	Prec@5 77.000 (77.832)
Epoch: [37][4870/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0899 (2.0452)	Prec@1 45.500 (47.356)	Prec@5 79.000 (77.830)
Epoch: [37][4880/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0528 (2.0452)	Prec@1 45.500 (47.355)	Prec@5 77.000 (77.829)
Epoch: [37][4890/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9941 (2.0451)	Prec@1 44.000 (47.354)	Prec@5 77.500 (77.831)
Epoch: [37][4900/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1241 (2.0451)	Prec@1 48.000 (47.358)	Prec@5 75.500 (77.832)
Epoch: [37][4910/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1572 (2.0452)	Prec@1 48.000 (47.356)	Prec@5 75.000 (77.831)
Epoch: [37][4920/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0925 (2.0453)	Prec@1 50.000 (47.354)	Prec@5 75.500 (77.829)
Epoch: [37][4930/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.0037 (2.0454)	Prec@1 48.500 (47.354)	Prec@5 80.000 (77.828)
Epoch: [37][4940/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9446 (2.0453)	Prec@1 53.000 (47.356)	Prec@5 78.500 (77.830)
Epoch: [37][4950/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9690 (2.0454)	Prec@1 49.500 (47.355)	Prec@5 79.000 (77.829)
Epoch: [37][4960/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0824 (2.0453)	Prec@1 49.000 (47.356)	Prec@5 75.500 (77.830)
Epoch: [37][4970/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.1436 (2.0454)	Prec@1 43.000 (47.357)	Prec@5 78.000 (77.827)
Epoch: [37][4980/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8805 (2.0453)	Prec@1 52.000 (47.355)	Prec@5 80.500 (77.830)
Epoch: [37][4990/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.1281 (2.0454)	Prec@1 46.500 (47.355)	Prec@5 75.500 (77.827)
Epoch: [37][5000/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.9775 (2.0452)	Prec@1 53.000 (47.361)	Prec@5 78.500 (77.829)
Epoch: [37][5010/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2156 (2.0453)	Prec@1 43.500 (47.361)	Prec@5 74.500 (77.826)
Epoch: [37][5020/9018]	Time 0.705 (0.615)	Data 0.001 (0.001)	Loss 2.0113 (2.0454)	Prec@1 47.500 (47.359)	Prec@5 77.500 (77.826)
Epoch: [37][5030/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0293 (2.0453)	Prec@1 48.500 (47.360)	Prec@5 76.000 (77.828)
Epoch: [37][5040/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.2267 (2.0454)	Prec@1 47.500 (47.361)	Prec@5 74.000 (77.830)
Epoch: [37][5050/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0393 (2.0454)	Prec@1 48.000 (47.360)	Prec@5 75.000 (77.828)
Epoch: [37][5060/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9149 (2.0455)	Prec@1 49.500 (47.358)	Prec@5 78.000 (77.826)
Epoch: [37][5070/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.8624 (2.0455)	Prec@1 51.500 (47.359)	Prec@5 81.000 (77.826)
Epoch: [37][5080/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9045 (2.0455)	Prec@1 53.500 (47.359)	Prec@5 78.000 (77.827)
Epoch: [37][5090/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0878 (2.0456)	Prec@1 42.500 (47.358)	Prec@5 77.500 (77.825)
Epoch: [37][5100/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1083 (2.0457)	Prec@1 47.000 (47.354)	Prec@5 75.000 (77.825)
Epoch: [37][5110/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0259 (2.0456)	Prec@1 43.500 (47.357)	Prec@5 75.000 (77.826)
Epoch: [37][5120/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1149 (2.0457)	Prec@1 45.000 (47.353)	Prec@5 77.000 (77.825)
Epoch: [37][5130/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.9145 (2.0458)	Prec@1 47.500 (47.350)	Prec@5 81.000 (77.823)
Epoch: [37][5140/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1884 (2.0458)	Prec@1 45.000 (47.349)	Prec@5 70.500 (77.820)
Epoch: [37][5150/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3425 (2.0460)	Prec@1 40.000 (47.344)	Prec@5 71.000 (77.816)
Epoch: [37][5160/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0586 (2.0460)	Prec@1 40.500 (47.344)	Prec@5 84.000 (77.817)
Epoch: [37][5170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9232 (2.0461)	Prec@1 49.500 (47.344)	Prec@5 80.000 (77.813)
Epoch: [37][5180/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1719 (2.0463)	Prec@1 44.000 (47.338)	Prec@5 76.000 (77.811)
Epoch: [37][5190/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9500 (2.0463)	Prec@1 52.000 (47.338)	Prec@5 78.000 (77.808)
Epoch: [37][5200/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3148 (2.0464)	Prec@1 46.500 (47.337)	Prec@5 76.000 (77.809)
Epoch: [37][5210/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0610 (2.0466)	Prec@1 47.500 (47.332)	Prec@5 73.500 (77.805)
Epoch: [37][5220/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0376 (2.0466)	Prec@1 44.500 (47.330)	Prec@5 80.500 (77.804)
Epoch: [37][5230/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1473 (2.0466)	Prec@1 46.000 (47.331)	Prec@5 74.500 (77.804)
Epoch: [37][5240/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1256 (2.0466)	Prec@1 48.000 (47.332)	Prec@5 78.000 (77.805)
Epoch: [37][5250/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.0368 (2.0467)	Prec@1 49.500 (47.331)	Prec@5 76.500 (77.804)
Epoch: [37][5260/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0164 (2.0468)	Prec@1 52.000 (47.330)	Prec@5 76.000 (77.798)
Epoch: [37][5270/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0515 (2.0468)	Prec@1 43.500 (47.328)	Prec@5 79.500 (77.797)
Epoch: [37][5280/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0590 (2.0468)	Prec@1 47.500 (47.328)	Prec@5 77.000 (77.799)
Epoch: [37][5290/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1179 (2.0469)	Prec@1 47.500 (47.325)	Prec@5 77.000 (77.798)
Epoch: [37][5300/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.1654 (2.0471)	Prec@1 47.500 (47.325)	Prec@5 72.000 (77.792)
Epoch: [37][5310/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0758 (2.0471)	Prec@1 41.500 (47.323)	Prec@5 77.000 (77.791)
Epoch: [37][5320/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2092 (2.0471)	Prec@1 41.500 (47.324)	Prec@5 76.500 (77.791)
Epoch: [37][5330/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8884 (2.0471)	Prec@1 54.500 (47.325)	Prec@5 81.000 (77.793)
Epoch: [37][5340/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0463 (2.0473)	Prec@1 45.000 (47.322)	Prec@5 75.000 (77.790)
Epoch: [37][5350/9018]	Time 0.770 (0.615)	Data 0.001 (0.001)	Loss 2.4240 (2.0473)	Prec@1 44.000 (47.324)	Prec@5 73.000 (77.792)
Epoch: [37][5360/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0173 (2.0474)	Prec@1 48.500 (47.322)	Prec@5 77.500 (77.791)
Epoch: [37][5370/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1276 (2.0475)	Prec@1 41.500 (47.318)	Prec@5 78.500 (77.791)
Epoch: [37][5380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0300 (2.0475)	Prec@1 48.500 (47.320)	Prec@5 77.000 (77.790)
Epoch: [37][5390/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.1664 (2.0475)	Prec@1 41.000 (47.318)	Prec@5 74.000 (77.790)
Epoch: [37][5400/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0372 (2.0476)	Prec@1 44.000 (47.315)	Prec@5 80.500 (77.790)
Epoch: [37][5410/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0362 (2.0475)	Prec@1 52.000 (47.318)	Prec@5 81.000 (77.792)
Epoch: [37][5420/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9714 (2.0474)	Prec@1 50.000 (47.316)	Prec@5 78.000 (77.794)
Epoch: [37][5430/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9715 (2.0475)	Prec@1 50.000 (47.317)	Prec@5 75.500 (77.792)
Epoch: [37][5440/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9986 (2.0474)	Prec@1 48.000 (47.315)	Prec@5 75.000 (77.793)
Epoch: [37][5450/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2767 (2.0473)	Prec@1 44.000 (47.317)	Prec@5 74.500 (77.796)
Epoch: [37][5460/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.1937 (2.0473)	Prec@1 40.500 (47.319)	Prec@5 74.500 (77.795)
Epoch: [37][5470/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1545 (2.0475)	Prec@1 43.500 (47.317)	Prec@5 76.500 (77.794)
Epoch: [37][5480/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0931 (2.0475)	Prec@1 47.000 (47.318)	Prec@5 78.000 (77.793)
Epoch: [37][5490/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.2018 (2.0476)	Prec@1 43.000 (47.317)	Prec@5 76.000 (77.792)
Epoch: [37][5500/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3080 (2.0476)	Prec@1 39.500 (47.317)	Prec@5 73.000 (77.793)
Epoch: [37][5510/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0528 (2.0477)	Prec@1 51.000 (47.315)	Prec@5 77.000 (77.792)
Epoch: [37][5520/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1746 (2.0477)	Prec@1 46.000 (47.315)	Prec@5 76.500 (77.791)
Epoch: [37][5530/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.2596 (2.0479)	Prec@1 43.500 (47.312)	Prec@5 75.000 (77.789)
Epoch: [37][5540/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2034 (2.0479)	Prec@1 44.000 (47.309)	Prec@5 77.500 (77.788)
Epoch: [37][5550/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9430 (2.0479)	Prec@1 49.000 (47.309)	Prec@5 78.500 (77.788)
Epoch: [37][5560/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9162 (2.0479)	Prec@1 51.500 (47.308)	Prec@5 81.000 (77.787)
Epoch: [37][5570/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.2503 (2.0479)	Prec@1 45.000 (47.310)	Prec@5 71.500 (77.786)
Epoch: [37][5580/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1399 (2.0480)	Prec@1 43.500 (47.309)	Prec@5 75.000 (77.783)
Epoch: [37][5590/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.0807 (2.0481)	Prec@1 44.000 (47.306)	Prec@5 77.000 (77.781)
Epoch: [37][5600/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9183 (2.0482)	Prec@1 50.500 (47.305)	Prec@5 77.500 (77.779)
Epoch: [37][5610/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1028 (2.0482)	Prec@1 49.000 (47.304)	Prec@5 75.500 (77.778)
Epoch: [37][5620/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1816 (2.0483)	Prec@1 44.500 (47.303)	Prec@5 75.500 (77.775)
Epoch: [37][5630/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 1.9985 (2.0485)	Prec@1 48.000 (47.299)	Prec@5 79.000 (77.773)
Epoch: [37][5640/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1102 (2.0486)	Prec@1 50.500 (47.299)	Prec@5 78.500 (77.772)
Epoch: [37][5650/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0147 (2.0486)	Prec@1 53.000 (47.298)	Prec@5 76.500 (77.772)
Epoch: [37][5660/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0089 (2.0485)	Prec@1 47.000 (47.297)	Prec@5 77.000 (77.773)
Epoch: [37][5670/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0297 (2.0485)	Prec@1 51.000 (47.298)	Prec@5 79.000 (77.773)
Epoch: [37][5680/9018]	Time 0.773 (0.615)	Data 0.001 (0.001)	Loss 2.1938 (2.0485)	Prec@1 43.000 (47.296)	Prec@5 73.500 (77.774)
Epoch: [37][5690/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8805 (2.0485)	Prec@1 51.000 (47.297)	Prec@5 78.500 (77.772)
Epoch: [37][5700/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0295 (2.0487)	Prec@1 50.500 (47.295)	Prec@5 76.500 (77.769)
Epoch: [37][5710/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.4298 (2.0488)	Prec@1 40.000 (47.292)	Prec@5 70.000 (77.768)
Epoch: [37][5720/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9976 (2.0488)	Prec@1 45.000 (47.291)	Prec@5 84.000 (77.770)
Epoch: [37][5730/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1050 (2.0488)	Prec@1 47.500 (47.290)	Prec@5 81.000 (77.770)
Epoch: [37][5740/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1663 (2.0489)	Prec@1 47.500 (47.290)	Prec@5 72.500 (77.768)
Epoch: [37][5750/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2109 (2.0490)	Prec@1 46.000 (47.288)	Prec@5 74.500 (77.764)
Epoch: [37][5760/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1562 (2.0491)	Prec@1 49.000 (47.286)	Prec@5 78.000 (77.762)
Epoch: [37][5770/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9666 (2.0491)	Prec@1 51.000 (47.286)	Prec@5 80.500 (77.764)
Epoch: [37][5780/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0762 (2.0490)	Prec@1 50.500 (47.286)	Prec@5 74.000 (77.765)
Epoch: [37][5790/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.8966 (2.0490)	Prec@1 50.500 (47.285)	Prec@5 79.500 (77.764)
Epoch: [37][5800/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1946 (2.0491)	Prec@1 39.500 (47.281)	Prec@5 76.000 (77.763)
Epoch: [37][5810/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9547 (2.0492)	Prec@1 49.500 (47.281)	Prec@5 81.500 (77.763)
Epoch: [37][5820/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.8916 (2.0491)	Prec@1 50.000 (47.284)	Prec@5 80.500 (77.765)
Epoch: [37][5830/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3063 (2.0492)	Prec@1 44.500 (47.282)	Prec@5 75.500 (77.764)
Epoch: [37][5840/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0611 (2.0491)	Prec@1 44.500 (47.283)	Prec@5 74.000 (77.768)
Epoch: [37][5850/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2129 (2.0493)	Prec@1 40.000 (47.278)	Prec@5 74.500 (77.764)
Epoch: [37][5860/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1865 (2.0493)	Prec@1 41.500 (47.277)	Prec@5 72.000 (77.761)
Epoch: [37][5870/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.1612 (2.0494)	Prec@1 48.500 (47.277)	Prec@5 76.000 (77.761)
Epoch: [37][5880/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0556 (2.0494)	Prec@1 51.500 (47.276)	Prec@5 78.500 (77.761)
Epoch: [37][5890/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2035 (2.0494)	Prec@1 41.000 (47.270)	Prec@5 79.500 (77.762)
Epoch: [37][5900/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1537 (2.0495)	Prec@1 43.500 (47.267)	Prec@5 76.500 (77.761)
Epoch: [37][5910/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0529 (2.0497)	Prec@1 48.000 (47.264)	Prec@5 75.000 (77.757)
Epoch: [37][5920/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0437 (2.0498)	Prec@1 46.500 (47.265)	Prec@5 77.500 (77.756)
Epoch: [37][5930/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0538 (2.0498)	Prec@1 46.500 (47.265)	Prec@5 76.500 (77.757)
Epoch: [37][5940/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8636 (2.0498)	Prec@1 51.000 (47.265)	Prec@5 81.000 (77.756)
Epoch: [37][5950/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9015 (2.0498)	Prec@1 51.500 (47.265)	Prec@5 79.500 (77.757)
Epoch: [37][5960/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.1351 (2.0499)	Prec@1 43.500 (47.263)	Prec@5 78.500 (77.755)
Epoch: [37][5970/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2200 (2.0499)	Prec@1 46.500 (47.263)	Prec@5 77.000 (77.755)
Epoch: [37][5980/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9380 (2.0498)	Prec@1 50.000 (47.264)	Prec@5 81.000 (77.756)
Epoch: [37][5990/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.0365 (2.0498)	Prec@1 46.500 (47.266)	Prec@5 77.500 (77.757)
Epoch: [37][6000/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.8885 (2.0498)	Prec@1 48.000 (47.264)	Prec@5 82.000 (77.758)
Epoch: [37][6010/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 1.9535 (2.0498)	Prec@1 51.000 (47.264)	Prec@5 78.000 (77.757)
Epoch: [37][6020/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.0108 (2.0498)	Prec@1 50.500 (47.262)	Prec@5 79.500 (77.757)
Epoch: [37][6030/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8916 (2.0498)	Prec@1 50.000 (47.262)	Prec@5 81.500 (77.759)
Epoch: [37][6040/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.9043 (2.0497)	Prec@1 49.000 (47.263)	Prec@5 78.500 (77.760)
Epoch: [37][6050/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2494 (2.0498)	Prec@1 46.500 (47.261)	Prec@5 72.000 (77.761)
Epoch: [37][6060/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7630 (2.0498)	Prec@1 51.500 (47.262)	Prec@5 84.000 (77.762)
Epoch: [37][6070/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 1.7732 (2.0497)	Prec@1 50.000 (47.262)	Prec@5 84.000 (77.762)
Epoch: [37][6080/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0394 (2.0497)	Prec@1 45.500 (47.260)	Prec@5 72.000 (77.761)
Epoch: [37][6090/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.2257 (2.0498)	Prec@1 45.000 (47.259)	Prec@5 73.000 (77.762)
Epoch: [37][6100/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.0260 (2.0497)	Prec@1 49.000 (47.261)	Prec@5 80.000 (77.762)
Epoch: [37][6110/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.0029 (2.0497)	Prec@1 51.000 (47.259)	Prec@5 78.000 (77.761)
Epoch: [37][6120/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.3471 (2.0499)	Prec@1 41.000 (47.254)	Prec@5 72.000 (77.759)
Epoch: [37][6130/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.1234 (2.0499)	Prec@1 44.000 (47.254)	Prec@5 79.000 (77.759)
Epoch: [37][6140/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.2258 (2.0500)	Prec@1 40.500 (47.251)	Prec@5 76.000 (77.756)
Epoch: [37][6150/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.0175 (2.0498)	Prec@1 46.500 (47.253)	Prec@5 73.500 (77.759)
Epoch: [37][6160/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.8174 (2.0499)	Prec@1 52.000 (47.252)	Prec@5 84.000 (77.758)
Epoch: [37][6170/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.3205 (2.0500)	Prec@1 42.000 (47.251)	Prec@5 72.500 (77.756)
Epoch: [37][6180/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.1410 (2.0501)	Prec@1 48.000 (47.250)	Prec@5 73.500 (77.754)
Epoch: [37][6190/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.2005 (2.0501)	Prec@1 39.000 (47.247)	Prec@5 76.500 (77.755)
Epoch: [37][6200/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0470 (2.0501)	Prec@1 43.500 (47.243)	Prec@5 77.000 (77.755)
Epoch: [37][6210/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.0059 (2.0501)	Prec@1 48.000 (47.242)	Prec@5 76.000 (77.754)
Epoch: [37][6220/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.1225 (2.0502)	Prec@1 45.000 (47.240)	Prec@5 73.000 (77.750)
Epoch: [37][6230/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0743 (2.0503)	Prec@1 47.500 (47.241)	Prec@5 76.500 (77.749)
Epoch: [37][6240/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0471 (2.0503)	Prec@1 42.000 (47.240)	Prec@5 80.000 (77.752)
Epoch: [37][6250/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.2103 (2.0503)	Prec@1 45.500 (47.239)	Prec@5 73.500 (77.750)
Epoch: [37][6260/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.9058 (2.0503)	Prec@1 49.500 (47.240)	Prec@5 83.500 (77.751)
Epoch: [37][6270/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.0283 (2.0503)	Prec@1 47.000 (47.239)	Prec@5 77.500 (77.750)
Epoch: [37][6280/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.9936 (2.0504)	Prec@1 46.500 (47.239)	Prec@5 79.000 (77.750)
Epoch: [37][6290/9018]	Time 0.753 (0.615)	Data 0.001 (0.002)	Loss 1.9983 (2.0504)	Prec@1 48.500 (47.238)	Prec@5 80.500 (77.749)
Epoch: [37][6300/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 1.9033 (2.0505)	Prec@1 50.500 (47.237)	Prec@5 80.500 (77.748)
Epoch: [37][6310/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.3000 (2.0506)	Prec@1 41.500 (47.235)	Prec@5 71.000 (77.746)
Epoch: [37][6320/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.0720 (2.0507)	Prec@1 48.000 (47.234)	Prec@5 75.000 (77.745)
Epoch: [37][6330/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 1.9224 (2.0507)	Prec@1 50.500 (47.234)	Prec@5 79.500 (77.744)
Epoch: [37][6340/9018]	Time 0.728 (0.615)	Data 0.001 (0.002)	Loss 2.1115 (2.0508)	Prec@1 48.500 (47.233)	Prec@5 77.500 (77.742)
Epoch: [37][6350/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.0837 (2.0509)	Prec@1 44.000 (47.231)	Prec@5 80.500 (77.741)
Epoch: [37][6360/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.1037 (2.0508)	Prec@1 50.000 (47.234)	Prec@5 73.000 (77.742)
Epoch: [37][6370/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.1159 (2.0508)	Prec@1 46.500 (47.235)	Prec@5 77.000 (77.743)
Epoch: [37][6380/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.1688 (2.0508)	Prec@1 46.500 (47.234)	Prec@5 76.500 (77.741)
Epoch: [37][6390/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.2638 (2.0509)	Prec@1 44.000 (47.234)	Prec@5 73.000 (77.741)
Epoch: [37][6400/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.0341 (2.0508)	Prec@1 50.000 (47.238)	Prec@5 76.000 (77.743)
Epoch: [37][6410/9018]	Time 0.589 (0.615)	Data 0.001 (0.002)	Loss 2.0190 (2.0508)	Prec@1 46.500 (47.236)	Prec@5 80.500 (77.742)
Epoch: [37][6420/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 1.7769 (2.0509)	Prec@1 56.000 (47.237)	Prec@5 82.500 (77.742)
Epoch: [37][6430/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.9162 (2.0508)	Prec@1 52.500 (47.239)	Prec@5 80.500 (77.744)
Epoch: [37][6440/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.1697 (2.0508)	Prec@1 45.500 (47.239)	Prec@5 78.500 (77.743)
Epoch: [37][6450/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.9676 (2.0509)	Prec@1 49.000 (47.239)	Prec@5 80.000 (77.742)
Epoch: [37][6460/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.1248 (2.0509)	Prec@1 45.500 (47.237)	Prec@5 75.500 (77.741)
Epoch: [37][6470/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.1164 (2.0509)	Prec@1 46.000 (47.235)	Prec@5 77.000 (77.740)
Epoch: [37][6480/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0905 (2.0510)	Prec@1 48.000 (47.233)	Prec@5 77.000 (77.739)
Epoch: [37][6490/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.1018 (2.0510)	Prec@1 45.500 (47.233)	Prec@5 75.000 (77.739)
Epoch: [37][6500/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0348 (2.0511)	Prec@1 47.500 (47.232)	Prec@5 80.500 (77.738)
Epoch: [37][6510/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0750 (2.0511)	Prec@1 45.000 (47.230)	Prec@5 76.500 (77.737)
Epoch: [37][6520/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.9635 (2.0511)	Prec@1 47.000 (47.230)	Prec@5 80.500 (77.736)
Epoch: [37][6530/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.0878 (2.0512)	Prec@1 46.500 (47.230)	Prec@5 76.500 (77.733)
Epoch: [37][6540/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 2.1445 (2.0513)	Prec@1 48.500 (47.226)	Prec@5 74.500 (77.734)
Epoch: [37][6550/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.1585 (2.0513)	Prec@1 45.500 (47.224)	Prec@5 74.500 (77.734)
Epoch: [37][6560/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.8877 (2.0513)	Prec@1 54.000 (47.224)	Prec@5 81.500 (77.735)
Epoch: [37][6570/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.0435 (2.0512)	Prec@1 48.500 (47.227)	Prec@5 76.500 (77.737)
Epoch: [37][6580/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9810 (2.0511)	Prec@1 47.000 (47.226)	Prec@5 78.500 (77.738)
Epoch: [37][6590/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.0173 (2.0512)	Prec@1 46.500 (47.225)	Prec@5 79.000 (77.737)
Epoch: [37][6600/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.9688 (2.0511)	Prec@1 43.500 (47.225)	Prec@5 80.500 (77.739)
Epoch: [37][6610/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.8058 (2.0511)	Prec@1 53.500 (47.226)	Prec@5 79.000 (77.739)
Epoch: [37][6620/9018]	Time 0.718 (0.615)	Data 0.001 (0.002)	Loss 2.0004 (2.0512)	Prec@1 47.500 (47.227)	Prec@5 79.500 (77.737)
Epoch: [37][6630/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 1.8767 (2.0511)	Prec@1 48.000 (47.229)	Prec@5 79.500 (77.738)
Epoch: [37][6640/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.0651 (2.0511)	Prec@1 46.000 (47.230)	Prec@5 80.000 (77.740)
Epoch: [37][6650/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.2166 (2.0510)	Prec@1 43.500 (47.229)	Prec@5 78.500 (77.742)
Epoch: [37][6660/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.9767 (2.0510)	Prec@1 50.500 (47.229)	Prec@5 81.500 (77.741)
Epoch: [37][6670/9018]	Time 0.718 (0.615)	Data 0.001 (0.002)	Loss 1.9027 (2.0510)	Prec@1 52.000 (47.231)	Prec@5 79.500 (77.742)
Epoch: [37][6680/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 1.9607 (2.0510)	Prec@1 48.000 (47.231)	Prec@5 80.500 (77.742)
Epoch: [37][6690/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9877 (2.0511)	Prec@1 47.000 (47.229)	Prec@5 81.000 (77.740)
Epoch: [37][6700/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.9891 (2.0510)	Prec@1 47.500 (47.229)	Prec@5 81.500 (77.742)
Epoch: [37][6710/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.0093 (2.0510)	Prec@1 49.000 (47.229)	Prec@5 82.000 (77.742)
Epoch: [37][6720/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.1959 (2.0510)	Prec@1 40.500 (47.227)	Prec@5 75.000 (77.745)
Epoch: [37][6730/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.1987 (2.0511)	Prec@1 47.000 (47.226)	Prec@5 73.000 (77.743)
Epoch: [37][6740/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.0602 (2.0511)	Prec@1 44.000 (47.225)	Prec@5 77.000 (77.743)
Epoch: [37][6750/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.9008 (2.0512)	Prec@1 53.500 (47.223)	Prec@5 77.500 (77.741)
Epoch: [37][6760/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.0233 (2.0511)	Prec@1 45.000 (47.223)	Prec@5 80.500 (77.742)
Epoch: [37][6770/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.1121 (2.0511)	Prec@1 46.000 (47.225)	Prec@5 74.000 (77.741)
Epoch: [37][6780/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 1.9233 (2.0511)	Prec@1 48.500 (47.227)	Prec@5 83.500 (77.742)
Epoch: [37][6790/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.2737 (2.0511)	Prec@1 42.500 (47.227)	Prec@5 75.000 (77.741)
Epoch: [37][6800/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.0250 (2.0511)	Prec@1 49.500 (47.226)	Prec@5 78.000 (77.740)
Epoch: [37][6810/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.1225 (2.0511)	Prec@1 40.000 (47.226)	Prec@5 75.500 (77.740)
Epoch: [37][6820/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9467 (2.0511)	Prec@1 51.500 (47.228)	Prec@5 78.500 (77.741)
Epoch: [37][6830/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.1063 (2.0511)	Prec@1 44.000 (47.227)	Prec@5 75.000 (77.740)
Epoch: [37][6840/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.9826 (2.0512)	Prec@1 49.000 (47.225)	Prec@5 76.500 (77.739)
Epoch: [37][6850/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.2239 (2.0512)	Prec@1 46.500 (47.224)	Prec@5 74.500 (77.738)
Epoch: [37][6860/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.2219 (2.0511)	Prec@1 41.500 (47.224)	Prec@5 73.000 (77.739)
Epoch: [37][6870/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 1.9380 (2.0510)	Prec@1 47.500 (47.226)	Prec@5 79.500 (77.742)
Epoch: [37][6880/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.0204 (2.0510)	Prec@1 49.500 (47.228)	Prec@5 79.500 (77.742)
Epoch: [37][6890/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.0713 (2.0509)	Prec@1 47.000 (47.229)	Prec@5 78.500 (77.745)
Epoch: [37][6900/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.0823 (2.0508)	Prec@1 45.000 (47.233)	Prec@5 76.000 (77.746)
Epoch: [37][6910/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.2970 (2.0509)	Prec@1 40.000 (47.229)	Prec@5 71.500 (77.744)
Epoch: [37][6920/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.2519 (2.0510)	Prec@1 44.000 (47.229)	Prec@5 71.000 (77.742)
Epoch: [37][6930/9018]	Time 0.588 (0.616)	Data 0.001 (0.002)	Loss 1.7644 (2.0510)	Prec@1 55.000 (47.228)	Prec@5 79.500 (77.741)
Epoch: [37][6940/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0037 (2.0509)	Prec@1 50.000 (47.232)	Prec@5 79.500 (77.743)
Epoch: [37][6950/9018]	Time 0.734 (0.616)	Data 0.001 (0.002)	Loss 2.1054 (2.0509)	Prec@1 45.000 (47.232)	Prec@5 76.500 (77.742)
Epoch: [37][6960/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.8402 (2.0509)	Prec@1 50.500 (47.231)	Prec@5 80.500 (77.741)
Epoch: [37][6970/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 1.9246 (2.0509)	Prec@1 51.500 (47.231)	Prec@5 79.000 (77.740)
Epoch: [37][6980/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 1.9329 (2.0509)	Prec@1 49.000 (47.230)	Prec@5 81.000 (77.742)
Epoch: [37][6990/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.9511 (2.0509)	Prec@1 50.500 (47.231)	Prec@5 82.000 (77.742)
Epoch: [37][7000/9018]	Time 0.732 (0.616)	Data 0.001 (0.002)	Loss 2.2305 (2.0509)	Prec@1 47.000 (47.231)	Prec@5 76.000 (77.742)
Epoch: [37][7010/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.0828 (2.0508)	Prec@1 44.500 (47.234)	Prec@5 80.500 (77.745)
Epoch: [37][7020/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.1159 (2.0508)	Prec@1 50.000 (47.233)	Prec@5 76.000 (77.745)
Epoch: [37][7030/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.7805 (2.0507)	Prec@1 51.000 (47.235)	Prec@5 82.000 (77.747)
Epoch: [37][7040/9018]	Time 2.084 (0.616)	Data 1.524 (0.002)	Loss 2.1426 (2.0508)	Prec@1 41.000 (47.236)	Prec@5 76.000 (77.746)
Epoch: [37][7050/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0175 (2.0508)	Prec@1 50.000 (47.234)	Prec@5 79.500 (77.745)
Epoch: [37][7060/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.0875 (2.0509)	Prec@1 45.500 (47.232)	Prec@5 75.500 (77.743)
Epoch: [37][7070/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.2570 (2.0511)	Prec@1 47.500 (47.230)	Prec@5 73.500 (77.740)
Epoch: [37][7080/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.1350 (2.0510)	Prec@1 45.500 (47.231)	Prec@5 76.500 (77.741)
Epoch: [37][7090/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.0089 (2.0509)	Prec@1 48.000 (47.232)	Prec@5 77.500 (77.742)
Epoch: [37][7100/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.2407 (2.0510)	Prec@1 45.000 (47.230)	Prec@5 72.000 (77.742)
Epoch: [37][7110/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0454 (2.0511)	Prec@1 51.000 (47.229)	Prec@5 80.000 (77.739)
Epoch: [37][7120/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.1090 (2.0511)	Prec@1 48.500 (47.229)	Prec@5 77.500 (77.740)
Epoch: [37][7130/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.2026 (2.0512)	Prec@1 44.500 (47.227)	Prec@5 75.000 (77.739)
Epoch: [37][7140/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.0269 (2.0512)	Prec@1 44.500 (47.225)	Prec@5 77.000 (77.739)
Epoch: [37][7150/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.0323 (2.0512)	Prec@1 48.000 (47.227)	Prec@5 77.000 (77.738)
Epoch: [37][7160/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0749 (2.0511)	Prec@1 48.000 (47.229)	Prec@5 77.000 (77.739)
Epoch: [37][7170/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0511 (2.0512)	Prec@1 47.000 (47.228)	Prec@5 78.000 (77.739)
Epoch: [37][7180/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.8994 (2.0511)	Prec@1 52.500 (47.228)	Prec@5 82.000 (77.740)
Epoch: [37][7190/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.0347 (2.0511)	Prec@1 50.500 (47.230)	Prec@5 78.000 (77.740)
Epoch: [37][7200/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.9492 (2.0511)	Prec@1 49.500 (47.229)	Prec@5 80.500 (77.741)
Epoch: [37][7210/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.9942 (2.0511)	Prec@1 49.000 (47.230)	Prec@5 79.500 (77.742)
Epoch: [37][7220/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.8507 (2.0510)	Prec@1 55.000 (47.230)	Prec@5 82.500 (77.743)
Epoch: [37][7230/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.1427 (2.0510)	Prec@1 44.500 (47.231)	Prec@5 78.000 (77.742)
Epoch: [37][7240/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2419 (2.0510)	Prec@1 42.500 (47.230)	Prec@5 76.500 (77.744)
Epoch: [37][7250/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0904 (2.0510)	Prec@1 46.000 (47.231)	Prec@5 75.500 (77.744)
Epoch: [37][7260/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0530 (2.0509)	Prec@1 47.000 (47.233)	Prec@5 76.500 (77.745)
Epoch: [37][7270/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.1495 (2.0509)	Prec@1 48.000 (47.232)	Prec@5 73.000 (77.744)
Epoch: [37][7280/9018]	Time 0.741 (0.616)	Data 0.001 (0.002)	Loss 2.0116 (2.0510)	Prec@1 49.000 (47.234)	Prec@5 81.500 (77.743)
Epoch: [37][7290/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.4226 (2.0510)	Prec@1 38.000 (47.232)	Prec@5 68.500 (77.742)
Epoch: [37][7300/9018]	Time 0.589 (0.616)	Data 0.001 (0.002)	Loss 2.0500 (2.0510)	Prec@1 49.000 (47.232)	Prec@5 77.500 (77.742)
Epoch: [37][7310/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.8854 (2.0510)	Prec@1 53.500 (47.232)	Prec@5 79.000 (77.741)
Epoch: [37][7320/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.1529 (2.0510)	Prec@1 45.500 (47.232)	Prec@5 77.500 (77.741)
Epoch: [37][7330/9018]	Time 0.755 (0.616)	Data 0.001 (0.002)	Loss 2.0694 (2.0510)	Prec@1 48.000 (47.233)	Prec@5 79.500 (77.740)
Epoch: [37][7340/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1637 (2.0511)	Prec@1 43.500 (47.231)	Prec@5 74.000 (77.739)
Epoch: [37][7350/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0078 (2.0511)	Prec@1 46.000 (47.231)	Prec@5 79.000 (77.739)
Epoch: [37][7360/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.2643 (2.0512)	Prec@1 46.000 (47.228)	Prec@5 71.000 (77.736)
Epoch: [37][7370/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.0629 (2.0513)	Prec@1 48.000 (47.228)	Prec@5 78.000 (77.734)
Epoch: [37][7380/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.0808 (2.0513)	Prec@1 47.500 (47.229)	Prec@5 76.000 (77.735)
Epoch: [37][7390/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.0340 (2.0512)	Prec@1 48.500 (47.231)	Prec@5 77.500 (77.736)
Epoch: [37][7400/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1922 (2.0512)	Prec@1 45.000 (47.228)	Prec@5 75.500 (77.735)
Epoch: [37][7410/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.0482 (2.0513)	Prec@1 51.000 (47.228)	Prec@5 81.500 (77.735)
Epoch: [37][7420/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0953 (2.0513)	Prec@1 46.000 (47.226)	Prec@5 74.500 (77.734)
Epoch: [37][7430/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 1.9541 (2.0513)	Prec@1 50.000 (47.228)	Prec@5 78.500 (77.734)
Epoch: [37][7440/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.9450 (2.0513)	Prec@1 49.500 (47.227)	Prec@5 76.500 (77.733)
Epoch: [37][7450/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.0446 (2.0513)	Prec@1 45.500 (47.227)	Prec@5 80.000 (77.734)
Epoch: [37][7460/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 1.8784 (2.0513)	Prec@1 54.000 (47.226)	Prec@5 83.500 (77.732)
Epoch: [37][7470/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.2210 (2.0514)	Prec@1 44.500 (47.227)	Prec@5 71.500 (77.731)
Epoch: [37][7480/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.9222 (2.0514)	Prec@1 46.500 (47.226)	Prec@5 82.500 (77.730)
Epoch: [37][7490/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9284 (2.0514)	Prec@1 52.500 (47.227)	Prec@5 83.000 (77.731)
Epoch: [37][7500/9018]	Time 1.003 (0.616)	Data 0.413 (0.002)	Loss 2.0910 (2.0515)	Prec@1 45.500 (47.226)	Prec@5 78.000 (77.730)
Epoch: [37][7510/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.0330 (2.0514)	Prec@1 47.000 (47.224)	Prec@5 81.500 (77.729)
Epoch: [37][7520/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1292 (2.0514)	Prec@1 45.000 (47.225)	Prec@5 74.500 (77.729)
Epoch: [37][7530/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 1.9341 (2.0514)	Prec@1 44.500 (47.224)	Prec@5 80.000 (77.728)
Epoch: [37][7540/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.1258 (2.0515)	Prec@1 46.000 (47.221)	Prec@5 78.000 (77.726)
Epoch: [37][7550/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9132 (2.0515)	Prec@1 47.000 (47.219)	Prec@5 78.000 (77.725)
Epoch: [37][7560/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.9785 (2.0515)	Prec@1 46.000 (47.218)	Prec@5 79.500 (77.725)
Epoch: [37][7570/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.1735 (2.0515)	Prec@1 42.500 (47.218)	Prec@5 77.500 (77.724)
Epoch: [37][7580/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.0703 (2.0516)	Prec@1 45.000 (47.217)	Prec@5 75.500 (77.724)
Epoch: [37][7590/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1033 (2.0517)	Prec@1 45.500 (47.217)	Prec@5 77.500 (77.723)
Epoch: [37][7600/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1509 (2.0517)	Prec@1 46.500 (47.215)	Prec@5 76.000 (77.721)
Epoch: [37][7610/9018]	Time 0.761 (0.616)	Data 0.001 (0.002)	Loss 2.3714 (2.0517)	Prec@1 40.000 (47.215)	Prec@5 72.500 (77.720)
Epoch: [37][7620/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.8441 (2.0517)	Prec@1 53.500 (47.217)	Prec@5 81.000 (77.720)
Epoch: [37][7630/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 1.9386 (2.0518)	Prec@1 52.000 (47.216)	Prec@5 82.500 (77.719)
Epoch: [37][7640/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 1.9087 (2.0518)	Prec@1 47.500 (47.214)	Prec@5 81.000 (77.720)
Epoch: [37][7650/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.9799 (2.0517)	Prec@1 48.000 (47.216)	Prec@5 81.500 (77.723)
Epoch: [37][7660/9018]	Time 0.733 (0.616)	Data 0.001 (0.002)	Loss 1.9131 (2.0516)	Prec@1 51.500 (47.216)	Prec@5 80.000 (77.724)
Epoch: [37][7670/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.1296 (2.0517)	Prec@1 47.500 (47.214)	Prec@5 75.000 (77.722)
Epoch: [37][7680/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.1331 (2.0518)	Prec@1 44.500 (47.213)	Prec@5 79.000 (77.722)
Epoch: [37][7690/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1185 (2.0518)	Prec@1 44.500 (47.212)	Prec@5 75.500 (77.721)
Epoch: [37][7700/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.3209 (2.0518)	Prec@1 47.000 (47.213)	Prec@5 71.500 (77.722)
Epoch: [37][7710/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 1.8165 (2.0517)	Prec@1 49.500 (47.214)	Prec@5 84.000 (77.724)
Epoch: [37][7720/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9457 (2.0517)	Prec@1 48.000 (47.214)	Prec@5 79.500 (77.725)
Epoch: [37][7730/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.9971 (2.0517)	Prec@1 49.500 (47.213)	Prec@5 81.000 (77.724)
Epoch: [37][7740/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.9698 (2.0518)	Prec@1 49.000 (47.211)	Prec@5 83.000 (77.722)
Epoch: [37][7750/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.0430 (2.0519)	Prec@1 48.500 (47.212)	Prec@5 79.500 (77.723)
Epoch: [37][7760/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0215 (2.0519)	Prec@1 49.500 (47.211)	Prec@5 77.500 (77.723)
Epoch: [37][7770/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.8918 (2.0518)	Prec@1 51.000 (47.212)	Prec@5 81.000 (77.724)
Epoch: [37][7780/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.1610 (2.0518)	Prec@1 45.000 (47.213)	Prec@5 76.000 (77.726)
Epoch: [37][7790/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.1550 (2.0518)	Prec@1 43.500 (47.214)	Prec@5 75.500 (77.726)
Epoch: [37][7800/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.1125 (2.0519)	Prec@1 49.000 (47.211)	Prec@5 78.500 (77.725)
Epoch: [37][7810/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 1.9718 (2.0519)	Prec@1 51.500 (47.211)	Prec@5 79.000 (77.724)
Epoch: [37][7820/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1339 (2.0520)	Prec@1 47.500 (47.210)	Prec@5 77.000 (77.722)
Epoch: [37][7830/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.8777 (2.0520)	Prec@1 55.000 (47.211)	Prec@5 77.500 (77.722)
Epoch: [37][7840/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.0500 (2.0521)	Prec@1 45.500 (47.209)	Prec@5 77.500 (77.720)
Epoch: [37][7850/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.9970 (2.0521)	Prec@1 48.000 (47.210)	Prec@5 78.500 (77.721)
Epoch: [37][7860/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.0355 (2.0521)	Prec@1 42.500 (47.209)	Prec@5 76.500 (77.720)
Epoch: [37][7870/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.9850 (2.0521)	Prec@1 51.500 (47.210)	Prec@5 76.500 (77.720)
Epoch: [37][7880/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1998 (2.0521)	Prec@1 44.500 (47.211)	Prec@5 77.000 (77.720)
Epoch: [37][7890/9018]	Time 0.696 (0.616)	Data 0.125 (0.002)	Loss 2.0317 (2.0520)	Prec@1 45.000 (47.212)	Prec@5 78.500 (77.722)
Epoch: [37][7900/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.8626 (2.0520)	Prec@1 51.500 (47.212)	Prec@5 80.500 (77.721)
Epoch: [37][7910/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.0017 (2.0521)	Prec@1 48.500 (47.212)	Prec@5 79.000 (77.720)
Epoch: [37][7920/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0941 (2.0521)	Prec@1 53.000 (47.211)	Prec@5 76.500 (77.720)
Epoch: [37][7930/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.3406 (2.0522)	Prec@1 43.500 (47.208)	Prec@5 68.500 (77.719)
Epoch: [37][7940/9018]	Time 0.712 (0.616)	Data 0.001 (0.002)	Loss 1.9182 (2.0522)	Prec@1 53.000 (47.210)	Prec@5 81.000 (77.718)
Epoch: [37][7950/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.9387 (2.0523)	Prec@1 52.500 (47.211)	Prec@5 77.500 (77.716)
Epoch: [37][7960/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.9479 (2.0523)	Prec@1 48.500 (47.211)	Prec@5 81.500 (77.716)
Epoch: [37][7970/9018]	Time 0.638 (0.616)	Data 0.001 (0.002)	Loss 2.0205 (2.0524)	Prec@1 49.500 (47.208)	Prec@5 78.500 (77.714)
Epoch: [37][7980/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.2042 (2.0525)	Prec@1 46.000 (47.208)	Prec@5 70.500 (77.711)
Epoch: [37][7990/9018]	Time 0.714 (0.616)	Data 0.001 (0.002)	Loss 2.0504 (2.0525)	Prec@1 49.000 (47.207)	Prec@5 76.500 (77.712)
Epoch: [37][8000/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.1336 (2.0526)	Prec@1 46.000 (47.209)	Prec@5 75.500 (77.712)
Epoch: [37][8010/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.2607 (2.0526)	Prec@1 43.000 (47.207)	Prec@5 75.000 (77.711)
Epoch: [37][8020/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0067 (2.0526)	Prec@1 50.000 (47.208)	Prec@5 77.000 (77.711)
Epoch: [37][8030/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.3087 (2.0526)	Prec@1 43.000 (47.207)	Prec@5 73.000 (77.710)
Epoch: [37][8040/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1848 (2.0526)	Prec@1 42.000 (47.207)	Prec@5 77.000 (77.712)
Epoch: [37][8050/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0448 (2.0527)	Prec@1 48.000 (47.206)	Prec@5 79.500 (77.710)
Epoch: [37][8060/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1712 (2.0528)	Prec@1 46.500 (47.206)	Prec@5 74.000 (77.709)
Epoch: [37][8070/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.9160 (2.0529)	Prec@1 48.500 (47.205)	Prec@5 79.000 (77.707)
Epoch: [37][8080/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.1937 (2.0529)	Prec@1 46.000 (47.204)	Prec@5 73.500 (77.707)
Epoch: [37][8090/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1698 (2.0528)	Prec@1 47.000 (47.209)	Prec@5 74.500 (77.708)
Epoch: [37][8100/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.9851 (2.0528)	Prec@1 50.000 (47.208)	Prec@5 80.500 (77.708)
Epoch: [37][8110/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.1756 (2.0529)	Prec@1 42.000 (47.206)	Prec@5 76.000 (77.705)
Epoch: [37][8120/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 1.9375 (2.0530)	Prec@1 48.000 (47.203)	Prec@5 79.500 (77.703)
Epoch: [37][8130/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.1222 (2.0531)	Prec@1 46.500 (47.202)	Prec@5 79.500 (77.703)
Epoch: [37][8140/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.1728 (2.0531)	Prec@1 47.000 (47.203)	Prec@5 73.500 (77.702)
Epoch: [37][8150/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.1514 (2.0531)	Prec@1 41.500 (47.204)	Prec@5 75.000 (77.701)
Epoch: [37][8160/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.7467 (2.0531)	Prec@1 57.500 (47.205)	Prec@5 83.000 (77.702)
Epoch: [37][8170/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.1395 (2.0532)	Prec@1 47.000 (47.204)	Prec@5 76.000 (77.700)
Epoch: [37][8180/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.0835 (2.0531)	Prec@1 47.000 (47.205)	Prec@5 73.500 (77.701)
Epoch: [37][8190/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 1.9865 (2.0531)	Prec@1 45.000 (47.206)	Prec@5 76.500 (77.701)
Epoch: [37][8200/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2615 (2.0531)	Prec@1 42.500 (47.206)	Prec@5 74.000 (77.701)
Epoch: [37][8210/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.0002 (2.0531)	Prec@1 46.500 (47.205)	Prec@5 80.000 (77.700)
Epoch: [37][8220/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.1697 (2.0532)	Prec@1 45.500 (47.204)	Prec@5 75.500 (77.699)
Epoch: [37][8230/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.0618 (2.0532)	Prec@1 50.000 (47.202)	Prec@5 78.000 (77.699)
Epoch: [37][8240/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.0284 (2.0533)	Prec@1 49.000 (47.199)	Prec@5 81.000 (77.698)
Epoch: [37][8250/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.9635 (2.0533)	Prec@1 49.500 (47.200)	Prec@5 77.500 (77.698)
Epoch: [37][8260/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.8915 (2.0533)	Prec@1 53.000 (47.200)	Prec@5 81.500 (77.698)
Epoch: [37][8270/9018]	Time 0.713 (0.616)	Data 0.001 (0.003)	Loss 1.9615 (2.0534)	Prec@1 45.000 (47.199)	Prec@5 78.500 (77.697)
Epoch: [37][8280/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 2.1222 (2.0534)	Prec@1 44.500 (47.197)	Prec@5 79.000 (77.697)
Epoch: [37][8290/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.1482 (2.0534)	Prec@1 46.500 (47.199)	Prec@5 76.500 (77.697)
Epoch: [37][8300/9018]	Time 0.622 (0.616)	Data 0.001 (0.003)	Loss 2.2700 (2.0534)	Prec@1 45.500 (47.202)	Prec@5 73.500 (77.697)
Epoch: [37][8310/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 2.1124 (2.0533)	Prec@1 42.500 (47.202)	Prec@5 75.500 (77.697)
Epoch: [37][8320/9018]	Time 0.732 (0.616)	Data 0.001 (0.003)	Loss 2.0391 (2.0534)	Prec@1 48.500 (47.202)	Prec@5 77.000 (77.696)
Epoch: [37][8330/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.2537 (2.0534)	Prec@1 45.500 (47.200)	Prec@5 76.500 (77.697)
Epoch: [37][8340/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 1.9756 (2.0534)	Prec@1 49.500 (47.199)	Prec@5 78.000 (77.696)
Epoch: [37][8350/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.0934 (2.0533)	Prec@1 46.500 (47.201)	Prec@5 75.500 (77.698)
Epoch: [37][8360/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 2.0061 (2.0534)	Prec@1 48.500 (47.200)	Prec@5 79.000 (77.698)
Epoch: [37][8370/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.0619 (2.0534)	Prec@1 51.000 (47.201)	Prec@5 79.000 (77.698)
Epoch: [37][8380/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.9991 (2.0534)	Prec@1 47.500 (47.200)	Prec@5 76.500 (77.699)
Epoch: [37][8390/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.0053 (2.0535)	Prec@1 49.000 (47.197)	Prec@5 79.000 (77.697)
Epoch: [37][8400/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.3160 (2.0535)	Prec@1 40.500 (47.196)	Prec@5 73.500 (77.697)
Epoch: [37][8410/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.2014 (2.0535)	Prec@1 38.000 (47.195)	Prec@5 75.500 (77.697)
Epoch: [37][8420/9018]	Time 0.633 (0.616)	Data 0.001 (0.003)	Loss 2.2986 (2.0535)	Prec@1 43.000 (47.195)	Prec@5 72.000 (77.697)
Epoch: [37][8430/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.1345 (2.0535)	Prec@1 45.000 (47.196)	Prec@5 77.500 (77.696)
Epoch: [37][8440/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.0098 (2.0535)	Prec@1 52.000 (47.197)	Prec@5 77.500 (77.696)
Epoch: [37][8450/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.9615 (2.0535)	Prec@1 45.500 (47.198)	Prec@5 80.500 (77.696)
Epoch: [37][8460/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.0880 (2.0536)	Prec@1 47.000 (47.197)	Prec@5 75.500 (77.694)
Epoch: [37][8470/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.0013 (2.0535)	Prec@1 52.500 (47.198)	Prec@5 80.000 (77.695)
Epoch: [37][8480/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.9443 (2.0536)	Prec@1 49.500 (47.198)	Prec@5 80.000 (77.694)
Epoch: [37][8490/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.0640 (2.0536)	Prec@1 48.500 (47.197)	Prec@5 76.500 (77.693)
Epoch: [37][8500/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0844 (2.0536)	Prec@1 45.500 (47.196)	Prec@5 76.500 (77.692)
Epoch: [37][8510/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.2181 (2.0536)	Prec@1 43.000 (47.195)	Prec@5 74.500 (77.693)
Epoch: [37][8520/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.0991 (2.0537)	Prec@1 45.500 (47.195)	Prec@5 77.500 (77.692)
Epoch: [37][8530/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.1493 (2.0537)	Prec@1 41.500 (47.193)	Prec@5 75.500 (77.691)
Epoch: [37][8540/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.0626 (2.0537)	Prec@1 48.500 (47.194)	Prec@5 74.500 (77.690)
Epoch: [37][8550/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.2414 (2.0536)	Prec@1 38.500 (47.194)	Prec@5 76.000 (77.691)
Epoch: [37][8560/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.1493 (2.0536)	Prec@1 44.500 (47.193)	Prec@5 75.500 (77.691)
Epoch: [37][8570/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 1.9187 (2.0536)	Prec@1 48.000 (47.191)	Prec@5 77.000 (77.692)
Epoch: [37][8580/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0953 (2.0536)	Prec@1 48.500 (47.192)	Prec@5 73.500 (77.692)
Epoch: [37][8590/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.3243 (2.0535)	Prec@1 37.000 (47.192)	Prec@5 75.000 (77.692)
Epoch: [37][8600/9018]	Time 0.733 (0.616)	Data 0.001 (0.002)	Loss 1.9993 (2.0535)	Prec@1 49.000 (47.193)	Prec@5 79.000 (77.694)
Epoch: [37][8610/9018]	Time 0.637 (0.616)	Data 0.001 (0.002)	Loss 1.9800 (2.0535)	Prec@1 49.000 (47.194)	Prec@5 80.000 (77.695)
Epoch: [37][8620/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 1.8248 (2.0534)	Prec@1 53.000 (47.197)	Prec@5 83.000 (77.698)
Epoch: [37][8630/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.7917 (2.0533)	Prec@1 50.000 (47.198)	Prec@5 80.500 (77.698)
Epoch: [37][8640/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.0720 (2.0533)	Prec@1 47.000 (47.197)	Prec@5 74.500 (77.698)
Epoch: [37][8650/9018]	Time 0.788 (0.616)	Data 0.001 (0.002)	Loss 2.1330 (2.0534)	Prec@1 43.000 (47.196)	Prec@5 77.500 (77.697)
Epoch: [37][8660/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 1.9470 (2.0534)	Prec@1 45.500 (47.196)	Prec@5 80.500 (77.697)
Epoch: [37][8670/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8430 (2.0534)	Prec@1 47.500 (47.197)	Prec@5 82.500 (77.696)
Epoch: [37][8680/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.0314 (2.0534)	Prec@1 46.500 (47.197)	Prec@5 76.500 (77.696)
Epoch: [37][8690/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2193 (2.0535)	Prec@1 44.000 (47.195)	Prec@5 78.000 (77.696)
Epoch: [37][8700/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.1647 (2.0536)	Prec@1 42.500 (47.195)	Prec@5 74.500 (77.692)
Epoch: [37][8710/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.4063 (2.0536)	Prec@1 44.000 (47.195)	Prec@5 71.000 (77.692)
Epoch: [37][8720/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 1.9351 (2.0536)	Prec@1 54.000 (47.195)	Prec@5 81.500 (77.693)
Epoch: [37][8730/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1966 (2.0536)	Prec@1 46.000 (47.194)	Prec@5 74.000 (77.692)
Epoch: [37][8740/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.0909 (2.0536)	Prec@1 45.000 (47.194)	Prec@5 78.000 (77.692)
Epoch: [37][8750/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.2797 (2.0536)	Prec@1 46.000 (47.194)	Prec@5 74.500 (77.692)
Epoch: [37][8760/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.0431 (2.0537)	Prec@1 48.500 (47.192)	Prec@5 81.000 (77.692)
Epoch: [37][8770/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.0634 (2.0537)	Prec@1 49.000 (47.193)	Prec@5 75.500 (77.693)
Epoch: [37][8780/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.1642 (2.0537)	Prec@1 43.000 (47.194)	Prec@5 79.500 (77.693)
Epoch: [37][8790/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.1891 (2.0537)	Prec@1 46.500 (47.193)	Prec@5 77.500 (77.694)
Epoch: [37][8800/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.1959 (2.0537)	Prec@1 45.500 (47.193)	Prec@5 76.500 (77.694)
Epoch: [37][8810/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.0880 (2.0537)	Prec@1 49.500 (47.193)	Prec@5 75.500 (77.694)
Epoch: [37][8820/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0346 (2.0537)	Prec@1 45.000 (47.194)	Prec@5 77.500 (77.693)
Epoch: [37][8830/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.0871 (2.0538)	Prec@1 49.000 (47.193)	Prec@5 75.000 (77.692)
Epoch: [37][8840/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.9901 (2.0538)	Prec@1 53.000 (47.193)	Prec@5 77.000 (77.690)
Epoch: [37][8850/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.1858 (2.0538)	Prec@1 42.000 (47.193)	Prec@5 78.000 (77.690)
Epoch: [37][8860/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0935 (2.0538)	Prec@1 45.500 (47.192)	Prec@5 78.500 (77.690)
Epoch: [37][8870/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0328 (2.0538)	Prec@1 46.500 (47.192)	Prec@5 79.000 (77.690)
Epoch: [37][8880/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.2901 (2.0538)	Prec@1 44.000 (47.192)	Prec@5 74.500 (77.692)
Epoch: [37][8890/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.0430 (2.0538)	Prec@1 46.500 (47.193)	Prec@5 78.000 (77.691)
Epoch: [37][8900/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9497 (2.0539)	Prec@1 46.000 (47.192)	Prec@5 79.000 (77.690)
Epoch: [37][8910/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0993 (2.0539)	Prec@1 44.000 (47.191)	Prec@5 78.500 (77.690)
Epoch: [37][8920/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.1566 (2.0539)	Prec@1 45.000 (47.190)	Prec@5 75.000 (77.689)
Epoch: [37][8930/9018]	Time 0.717 (0.616)	Data 0.001 (0.002)	Loss 1.9646 (2.0539)	Prec@1 47.500 (47.189)	Prec@5 80.000 (77.689)
Epoch: [37][8940/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.9559 (2.0539)	Prec@1 53.000 (47.191)	Prec@5 80.000 (77.690)
Epoch: [37][8950/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.8668 (2.0539)	Prec@1 51.000 (47.191)	Prec@5 82.000 (77.689)
Epoch: [37][8960/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0265 (2.0539)	Prec@1 46.000 (47.189)	Prec@5 79.000 (77.688)
Epoch: [37][8970/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.1147 (2.0540)	Prec@1 45.500 (47.186)	Prec@5 77.500 (77.687)
Epoch: [37][8980/9018]	Time 0.723 (0.616)	Data 0.001 (0.002)	Loss 2.0272 (2.0540)	Prec@1 47.500 (47.185)	Prec@5 80.000 (77.687)
Epoch: [37][8990/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.8784 (2.0540)	Prec@1 47.500 (47.186)	Prec@5 83.500 (77.687)
Epoch: [37][9000/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.2152 (2.0540)	Prec@1 45.000 (47.187)	Prec@5 72.000 (77.686)
Epoch: [37][9010/9018]	Time 0.595 (0.616)	Data 0.000 (0.002)	Loss 2.0896 (2.0540)	Prec@1 46.000 (47.186)	Prec@5 80.500 (77.686)
Test: [0/183]	Time 1.344 (1.344)	Loss 2.5425 (2.5425)	Prec@1 32.500 (32.500)	Prec@5 71.500 (71.500)
Test: [10/183]	Time 0.192 (0.294)	Loss 1.6663 (1.6983)	Prec@1 62.000 (56.045)	Prec@5 83.000 (84.545)
Test: [20/183]	Time 0.203 (0.250)	Loss 2.2796 (1.6807)	Prec@1 41.000 (55.833)	Prec@5 76.500 (84.286)
Test: [30/183]	Time 0.197 (0.236)	Loss 2.3635 (1.7226)	Prec@1 32.000 (54.081)	Prec@5 73.500 (83.790)
Test: [40/183]	Time 0.183 (0.224)	Loss 2.1871 (1.7267)	Prec@1 38.000 (54.366)	Prec@5 84.500 (83.451)
Test: [50/183]	Time 0.188 (0.219)	Loss 1.5853 (1.7169)	Prec@1 54.000 (54.618)	Prec@5 87.500 (83.627)
Test: [60/183]	Time 0.185 (0.214)	Loss 2.0609 (1.7853)	Prec@1 49.500 (52.352)	Prec@5 74.000 (82.738)
Test: [70/183]	Time 0.193 (0.212)	Loss 1.8798 (1.7772)	Prec@1 54.500 (52.373)	Prec@5 82.500 (83.190)
Test: [80/183]	Time 0.188 (0.211)	Loss 1.4400 (1.7590)	Prec@1 61.000 (52.654)	Prec@5 91.000 (83.420)
Test: [90/183]	Time 0.180 (0.208)	Loss 2.3081 (1.7577)	Prec@1 41.000 (52.780)	Prec@5 74.500 (83.451)
Test: [100/183]	Time 0.212 (0.207)	Loss 0.6536 (1.7592)	Prec@1 80.500 (52.703)	Prec@5 96.500 (83.431)
Test: [110/183]	Time 0.180 (0.205)	Loss 0.7886 (1.7659)	Prec@1 82.000 (52.568)	Prec@5 96.500 (83.261)
Test: [120/183]	Time 0.186 (0.204)	Loss 2.0967 (1.7745)	Prec@1 47.500 (52.153)	Prec@5 73.000 (83.219)
Test: [130/183]	Time 0.229 (0.204)	Loss 3.1814 (1.7852)	Prec@1 18.500 (51.832)	Prec@5 65.500 (83.244)
Test: [140/183]	Time 0.187 (0.203)	Loss 1.7852 (1.7773)	Prec@1 55.500 (52.177)	Prec@5 80.000 (83.340)
Test: [150/183]	Time 0.194 (0.203)	Loss 0.8159 (1.7753)	Prec@1 77.500 (52.182)	Prec@5 96.500 (83.371)
Test: [160/183]	Time 0.189 (0.202)	Loss 1.7108 (1.7720)	Prec@1 52.500 (52.419)	Prec@5 84.000 (83.410)
Test: [170/183]	Time 0.202 (0.202)	Loss 2.1617 (1.7891)	Prec@1 37.000 (52.032)	Prec@5 81.500 (83.061)
Test: [180/183]	Time 0.194 (0.202)	Loss 2.1166 (1.7964)	Prec@1 45.500 (51.901)	Prec@5 81.000 (82.950)
 * Prec@1 51.890 Prec@5 82.937
Epoch: [38][0/9018]	Time 2.793 (2.793)	Data 2.157 (2.157)	Loss 2.1195 (2.1195)	Prec@1 42.000 (42.000)	Prec@5 77.000 (77.000)
Epoch: [38][10/9018]	Time 0.773 (0.811)	Data 0.001 (0.197)	Loss 2.1654 (2.0281)	Prec@1 43.000 (47.091)	Prec@5 77.500 (77.773)
Epoch: [38][20/9018]	Time 0.589 (0.709)	Data 0.001 (0.103)	Loss 1.9775 (2.0232)	Prec@1 46.000 (47.405)	Prec@5 77.000 (77.405)
Epoch: [38][30/9018]	Time 0.593 (0.676)	Data 0.001 (0.070)	Loss 1.8970 (2.0105)	Prec@1 50.000 (47.968)	Prec@5 83.500 (77.629)
Epoch: [38][40/9018]	Time 0.601 (0.658)	Data 0.001 (0.053)	Loss 1.9060 (1.9994)	Prec@1 50.000 (48.244)	Prec@5 78.500 (77.988)
Epoch: [38][50/9018]	Time 0.594 (0.652)	Data 0.001 (0.043)	Loss 1.9257 (2.0100)	Prec@1 53.500 (47.922)	Prec@5 80.000 (77.961)
Epoch: [38][60/9018]	Time 0.722 (0.646)	Data 0.001 (0.036)	Loss 2.1537 (2.0229)	Prec@1 45.000 (47.730)	Prec@5 75.000 (77.787)
Epoch: [38][70/9018]	Time 0.628 (0.640)	Data 0.001 (0.031)	Loss 1.9997 (2.0300)	Prec@1 48.000 (47.549)	Prec@5 79.000 (77.711)
Epoch: [38][80/9018]	Time 0.614 (0.638)	Data 0.001 (0.027)	Loss 2.2951 (2.0280)	Prec@1 44.000 (47.617)	Prec@5 77.500 (77.809)
Epoch: [38][90/9018]	Time 0.595 (0.634)	Data 0.001 (0.024)	Loss 2.0826 (2.0342)	Prec@1 48.000 (47.560)	Prec@5 78.500 (77.753)
Epoch: [38][100/9018]	Time 0.602 (0.633)	Data 0.001 (0.022)	Loss 2.0600 (2.0294)	Prec@1 49.000 (47.629)	Prec@5 76.000 (77.866)
Epoch: [38][110/9018]	Time 0.628 (0.632)	Data 0.001 (0.020)	Loss 2.0588 (2.0316)	Prec@1 41.000 (47.554)	Prec@5 78.000 (77.860)
Epoch: [38][120/9018]	Time 0.606 (0.630)	Data 0.001 (0.019)	Loss 2.0144 (2.0391)	Prec@1 47.500 (47.467)	Prec@5 76.000 (77.777)
Epoch: [38][130/9018]	Time 0.593 (0.629)	Data 0.001 (0.017)	Loss 1.7717 (2.0346)	Prec@1 54.000 (47.599)	Prec@5 83.500 (77.893)
Epoch: [38][140/9018]	Time 0.614 (0.627)	Data 0.001 (0.016)	Loss 2.0235 (2.0364)	Prec@1 52.000 (47.564)	Prec@5 76.500 (77.812)
Epoch: [38][150/9018]	Time 0.596 (0.627)	Data 0.001 (0.015)	Loss 2.1863 (2.0351)	Prec@1 44.000 (47.619)	Prec@5 74.500 (77.861)
Epoch: [38][160/9018]	Time 0.620 (0.627)	Data 0.001 (0.014)	Loss 2.1409 (2.0349)	Prec@1 44.000 (47.612)	Prec@5 77.500 (77.898)
Epoch: [38][170/9018]	Time 0.617 (0.626)	Data 0.001 (0.013)	Loss 1.9059 (2.0332)	Prec@1 51.000 (47.637)	Prec@5 80.000 (77.965)
Epoch: [38][180/9018]	Time 0.593 (0.626)	Data 0.001 (0.013)	Loss 2.1666 (2.0358)	Prec@1 44.000 (47.517)	Prec@5 73.500 (77.901)
Epoch: [38][190/9018]	Time 0.614 (0.625)	Data 0.001 (0.012)	Loss 2.0577 (2.0340)	Prec@1 51.500 (47.586)	Prec@5 76.000 (77.948)
Epoch: [38][200/9018]	Time 0.623 (0.624)	Data 0.001 (0.012)	Loss 2.0465 (2.0336)	Prec@1 44.000 (47.595)	Prec@5 79.000 (77.953)
Epoch: [38][210/9018]	Time 0.636 (0.625)	Data 0.001 (0.011)	Loss 1.8687 (2.0334)	Prec@1 48.000 (47.585)	Prec@5 82.500 (77.931)
Epoch: [38][220/9018]	Time 0.608 (0.624)	Data 0.001 (0.011)	Loss 2.0107 (2.0328)	Prec@1 47.500 (47.590)	Prec@5 80.000 (77.957)
Epoch: [38][230/9018]	Time 0.633 (0.624)	Data 0.001 (0.010)	Loss 1.8942 (2.0333)	Prec@1 52.000 (47.619)	Prec@5 81.000 (77.972)
Epoch: [38][240/9018]	Time 0.630 (0.623)	Data 0.001 (0.010)	Loss 2.0812 (2.0340)	Prec@1 47.000 (47.639)	Prec@5 75.500 (77.938)
Epoch: [38][250/9018]	Time 0.593 (0.623)	Data 0.001 (0.009)	Loss 2.0087 (2.0345)	Prec@1 47.000 (47.620)	Prec@5 80.500 (77.934)
Epoch: [38][260/9018]	Time 0.599 (0.622)	Data 0.001 (0.009)	Loss 2.0536 (2.0359)	Prec@1 46.000 (47.602)	Prec@5 79.000 (77.914)
Epoch: [38][270/9018]	Time 0.631 (0.622)	Data 0.001 (0.009)	Loss 2.0600 (2.0362)	Prec@1 44.000 (47.557)	Prec@5 80.500 (77.917)
Epoch: [38][280/9018]	Time 0.609 (0.622)	Data 0.001 (0.008)	Loss 1.9142 (2.0338)	Prec@1 49.000 (47.628)	Prec@5 80.500 (77.945)
Epoch: [38][290/9018]	Time 0.610 (0.621)	Data 0.001 (0.008)	Loss 2.0675 (2.0333)	Prec@1 49.500 (47.615)	Prec@5 76.000 (77.990)
Epoch: [38][300/9018]	Time 0.606 (0.621)	Data 0.001 (0.008)	Loss 1.7906 (2.0332)	Prec@1 50.500 (47.613)	Prec@5 82.500 (77.993)
Epoch: [38][310/9018]	Time 0.608 (0.621)	Data 0.001 (0.008)	Loss 1.9970 (2.0323)	Prec@1 51.000 (47.624)	Prec@5 80.500 (78.031)
Epoch: [38][320/9018]	Time 0.615 (0.621)	Data 0.001 (0.007)	Loss 2.0311 (2.0348)	Prec@1 50.500 (47.590)	Prec@5 79.000 (78.023)
Epoch: [38][330/9018]	Time 0.605 (0.621)	Data 0.001 (0.007)	Loss 2.1270 (2.0348)	Prec@1 51.500 (47.642)	Prec@5 78.000 (78.036)
Epoch: [38][340/9018]	Time 0.717 (0.621)	Data 0.001 (0.007)	Loss 2.1458 (2.0354)	Prec@1 48.500 (47.617)	Prec@5 74.500 (78.028)
Epoch: [38][350/9018]	Time 0.595 (0.620)	Data 0.001 (0.007)	Loss 2.0608 (2.0341)	Prec@1 47.000 (47.624)	Prec@5 77.500 (78.051)
Epoch: [38][360/9018]	Time 0.596 (0.620)	Data 0.001 (0.007)	Loss 1.9663 (2.0334)	Prec@1 47.000 (47.633)	Prec@5 78.000 (78.053)
Epoch: [38][370/9018]	Time 0.624 (0.620)	Data 0.001 (0.007)	Loss 2.4444 (2.0344)	Prec@1 41.500 (47.596)	Prec@5 70.500 (78.035)
Epoch: [38][380/9018]	Time 0.624 (0.620)	Data 0.001 (0.006)	Loss 2.1663 (2.0342)	Prec@1 45.000 (47.601)	Prec@5 75.500 (78.046)
Epoch: [38][390/9018]	Time 0.734 (0.620)	Data 0.001 (0.006)	Loss 1.9721 (2.0320)	Prec@1 51.000 (47.666)	Prec@5 82.000 (78.088)
Epoch: [38][400/9018]	Time 0.616 (0.619)	Data 0.001 (0.006)	Loss 1.9713 (2.0323)	Prec@1 47.000 (47.661)	Prec@5 80.000 (78.059)
Epoch: [38][410/9018]	Time 0.591 (0.619)	Data 0.001 (0.006)	Loss 2.0374 (2.0329)	Prec@1 49.000 (47.639)	Prec@5 82.000 (78.055)
Epoch: [38][420/9018]	Time 0.617 (0.619)	Data 0.001 (0.006)	Loss 1.9389 (2.0323)	Prec@1 53.500 (47.644)	Prec@5 78.000 (78.061)
Epoch: [38][430/9018]	Time 0.609 (0.619)	Data 0.001 (0.006)	Loss 2.1889 (2.0328)	Prec@1 40.500 (47.635)	Prec@5 76.000 (78.061)
Epoch: [38][440/9018]	Time 0.600 (0.619)	Data 0.001 (0.006)	Loss 1.9701 (2.0329)	Prec@1 47.500 (47.644)	Prec@5 78.000 (78.060)
Epoch: [38][450/9018]	Time 0.602 (0.619)	Data 0.001 (0.006)	Loss 2.1031 (2.0316)	Prec@1 48.000 (47.671)	Prec@5 77.000 (78.075)
Epoch: [38][460/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 1.9014 (2.0314)	Prec@1 52.500 (47.685)	Prec@5 78.500 (78.084)
Epoch: [38][470/9018]	Time 0.627 (0.619)	Data 0.001 (0.005)	Loss 1.8765 (2.0310)	Prec@1 50.000 (47.676)	Prec@5 79.000 (78.093)
Epoch: [38][480/9018]	Time 0.611 (0.619)	Data 0.001 (0.005)	Loss 2.1400 (2.0297)	Prec@1 47.500 (47.710)	Prec@5 74.000 (78.102)
Epoch: [38][490/9018]	Time 0.634 (0.619)	Data 0.001 (0.005)	Loss 2.0405 (2.0300)	Prec@1 42.000 (47.707)	Prec@5 82.000 (78.099)
Epoch: [38][500/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 2.1069 (2.0302)	Prec@1 47.000 (47.734)	Prec@5 75.500 (78.083)
Epoch: [38][510/9018]	Time 0.596 (0.619)	Data 0.001 (0.005)	Loss 2.1076 (2.0292)	Prec@1 49.000 (47.753)	Prec@5 75.000 (78.105)
Epoch: [38][520/9018]	Time 0.610 (0.619)	Data 0.001 (0.005)	Loss 2.1616 (2.0286)	Prec@1 38.500 (47.726)	Prec@5 74.500 (78.117)
Epoch: [38][530/9018]	Time 0.613 (0.619)	Data 0.001 (0.005)	Loss 2.0379 (2.0282)	Prec@1 45.500 (47.730)	Prec@5 74.000 (78.123)
Epoch: [38][540/9018]	Time 0.631 (0.619)	Data 0.001 (0.005)	Loss 2.0550 (2.0288)	Prec@1 46.000 (47.710)	Prec@5 76.000 (78.114)
Epoch: [38][550/9018]	Time 0.605 (0.618)	Data 0.001 (0.005)	Loss 2.2705 (2.0293)	Prec@1 43.000 (47.691)	Prec@5 74.000 (78.087)
Epoch: [38][560/9018]	Time 0.590 (0.618)	Data 0.001 (0.005)	Loss 1.8691 (2.0295)	Prec@1 54.500 (47.719)	Prec@5 81.500 (78.081)
Epoch: [38][570/9018]	Time 0.590 (0.618)	Data 0.001 (0.005)	Loss 2.1583 (2.0282)	Prec@1 45.000 (47.753)	Prec@5 79.000 (78.106)
Epoch: [38][580/9018]	Time 0.620 (0.618)	Data 0.001 (0.004)	Loss 1.9756 (2.0295)	Prec@1 48.500 (47.736)	Prec@5 81.500 (78.083)
Epoch: [38][590/9018]	Time 0.619 (0.619)	Data 0.001 (0.004)	Loss 2.1956 (2.0291)	Prec@1 40.500 (47.743)	Prec@5 72.000 (78.081)
Epoch: [38][600/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.1036 (2.0295)	Prec@1 43.000 (47.731)	Prec@5 75.500 (78.069)
Epoch: [38][610/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 1.8847 (2.0290)	Prec@1 49.000 (47.733)	Prec@5 82.500 (78.074)
Epoch: [38][620/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 1.9850 (2.0285)	Prec@1 53.500 (47.759)	Prec@5 76.500 (78.080)
Epoch: [38][630/9018]	Time 0.612 (0.618)	Data 0.001 (0.004)	Loss 1.9478 (2.0281)	Prec@1 50.000 (47.777)	Prec@5 78.500 (78.076)
Epoch: [38][640/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.1533 (2.0289)	Prec@1 43.500 (47.748)	Prec@5 78.000 (78.076)
Epoch: [38][650/9018]	Time 0.631 (0.618)	Data 0.001 (0.004)	Loss 1.9687 (2.0288)	Prec@1 54.000 (47.736)	Prec@5 80.000 (78.082)
Epoch: [38][660/9018]	Time 0.623 (0.618)	Data 0.001 (0.004)	Loss 1.9318 (2.0287)	Prec@1 50.000 (47.744)	Prec@5 80.500 (78.096)
Epoch: [38][670/9018]	Time 0.742 (0.618)	Data 0.001 (0.004)	Loss 2.1568 (2.0286)	Prec@1 43.500 (47.728)	Prec@5 75.000 (78.096)
Epoch: [38][680/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 2.1351 (2.0285)	Prec@1 46.500 (47.731)	Prec@5 75.000 (78.085)
Epoch: [38][690/9018]	Time 0.592 (0.618)	Data 0.001 (0.004)	Loss 2.1637 (2.0287)	Prec@1 41.500 (47.709)	Prec@5 75.500 (78.071)
Epoch: [38][700/9018]	Time 0.612 (0.618)	Data 0.001 (0.004)	Loss 2.1827 (2.0288)	Prec@1 47.000 (47.726)	Prec@5 75.000 (78.065)
Epoch: [38][710/9018]	Time 0.612 (0.618)	Data 0.001 (0.004)	Loss 1.9667 (2.0290)	Prec@1 51.500 (47.717)	Prec@5 82.500 (78.072)
Epoch: [38][720/9018]	Time 0.726 (0.618)	Data 0.001 (0.004)	Loss 2.1358 (2.0292)	Prec@1 47.500 (47.732)	Prec@5 75.500 (78.062)
Epoch: [38][730/9018]	Time 0.612 (0.617)	Data 0.001 (0.004)	Loss 2.0349 (2.0299)	Prec@1 43.000 (47.724)	Prec@5 79.500 (78.056)
Epoch: [38][740/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 2.2375 (2.0305)	Prec@1 43.500 (47.713)	Prec@5 73.000 (78.045)
Epoch: [38][750/9018]	Time 0.606 (0.617)	Data 0.001 (0.004)	Loss 2.1002 (2.0308)	Prec@1 49.500 (47.724)	Prec@5 76.000 (78.028)
Epoch: [38][760/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 2.1775 (2.0306)	Prec@1 46.500 (47.749)	Prec@5 75.000 (78.028)
Epoch: [38][770/9018]	Time 0.594 (0.617)	Data 0.001 (0.004)	Loss 2.1604 (2.0305)	Prec@1 44.500 (47.750)	Prec@5 73.000 (78.016)
Epoch: [38][780/9018]	Time 0.634 (0.617)	Data 0.001 (0.004)	Loss 2.0516 (2.0309)	Prec@1 41.500 (47.738)	Prec@5 79.500 (78.004)
Epoch: [38][790/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.1639 (2.0306)	Prec@1 44.000 (47.724)	Prec@5 76.500 (78.016)
Epoch: [38][800/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.2434 (2.0310)	Prec@1 45.500 (47.724)	Prec@5 74.500 (77.998)
Epoch: [38][810/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 1.9432 (2.0313)	Prec@1 47.500 (47.702)	Prec@5 78.000 (77.994)
Epoch: [38][820/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 2.0248 (2.0314)	Prec@1 49.000 (47.703)	Prec@5 77.500 (77.989)
Epoch: [38][830/9018]	Time 0.590 (0.617)	Data 0.001 (0.003)	Loss 1.9655 (2.0317)	Prec@1 49.000 (47.697)	Prec@5 79.500 (77.978)
Epoch: [38][840/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.1775 (2.0314)	Prec@1 44.500 (47.698)	Prec@5 76.000 (77.986)
Epoch: [38][850/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.1276 (2.0315)	Prec@1 45.000 (47.698)	Prec@5 78.500 (77.990)
Epoch: [38][860/9018]	Time 0.640 (0.617)	Data 0.001 (0.003)	Loss 2.0931 (2.0312)	Prec@1 45.000 (47.699)	Prec@5 77.000 (77.994)
Epoch: [38][870/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.0004 (2.0312)	Prec@1 51.000 (47.705)	Prec@5 77.000 (77.991)
Epoch: [38][880/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.2786 (2.0314)	Prec@1 45.500 (47.698)	Prec@5 76.500 (77.990)
Epoch: [38][890/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.0536 (2.0315)	Prec@1 49.000 (47.692)	Prec@5 79.000 (77.993)
Epoch: [38][900/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 2.1952 (2.0321)	Prec@1 45.000 (47.671)	Prec@5 77.000 (77.986)
Epoch: [38][910/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 1.9976 (2.0319)	Prec@1 52.500 (47.673)	Prec@5 81.000 (77.986)
Epoch: [38][920/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.0493 (2.0312)	Prec@1 46.000 (47.680)	Prec@5 77.500 (78.007)
Epoch: [38][930/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.1145 (2.0312)	Prec@1 45.000 (47.672)	Prec@5 80.000 (78.011)
Epoch: [38][940/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.9836 (2.0308)	Prec@1 49.500 (47.671)	Prec@5 82.000 (78.027)
Epoch: [38][950/9018]	Time 0.637 (0.617)	Data 0.001 (0.003)	Loss 1.8491 (2.0307)	Prec@1 53.500 (47.658)	Prec@5 79.000 (78.039)
Epoch: [38][960/9018]	Time 0.626 (0.617)	Data 0.001 (0.003)	Loss 1.9023 (2.0306)	Prec@1 46.500 (47.662)	Prec@5 80.000 (78.042)
Epoch: [38][970/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 2.1069 (2.0313)	Prec@1 46.500 (47.640)	Prec@5 77.000 (78.037)
Epoch: [38][980/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 1.9210 (2.0318)	Prec@1 47.500 (47.623)	Prec@5 80.000 (78.031)
Epoch: [38][990/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.0081 (2.0319)	Prec@1 44.500 (47.609)	Prec@5 77.000 (78.033)
Epoch: [38][1000/9018]	Time 0.733 (0.617)	Data 0.001 (0.003)	Loss 2.3043 (2.0324)	Prec@1 37.500 (47.610)	Prec@5 74.000 (78.023)
Epoch: [38][1010/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 1.9254 (2.0318)	Prec@1 47.000 (47.621)	Prec@5 78.500 (78.036)
Epoch: [38][1020/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 1.8200 (2.0319)	Prec@1 51.500 (47.621)	Prec@5 82.500 (78.029)
Epoch: [38][1030/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 1.9965 (2.0318)	Prec@1 49.500 (47.627)	Prec@5 78.500 (78.025)
Epoch: [38][1040/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 1.9622 (2.0326)	Prec@1 43.500 (47.600)	Prec@5 84.000 (78.020)
Epoch: [38][1050/9018]	Time 0.719 (0.617)	Data 0.001 (0.003)	Loss 1.9322 (2.0324)	Prec@1 47.500 (47.605)	Prec@5 77.000 (78.018)
Epoch: [38][1060/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.1369 (2.0327)	Prec@1 47.500 (47.609)	Prec@5 75.000 (78.011)
Epoch: [38][1070/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.0924 (2.0330)	Prec@1 43.500 (47.592)	Prec@5 76.500 (78.004)
Epoch: [38][1080/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.4057 (2.0334)	Prec@1 40.000 (47.582)	Prec@5 72.000 (77.994)
Epoch: [38][1090/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 1.9593 (2.0334)	Prec@1 50.500 (47.577)	Prec@5 78.500 (77.995)
Epoch: [38][1100/9018]	Time 0.618 (0.617)	Data 0.001 (0.003)	Loss 2.0988 (2.0330)	Prec@1 42.000 (47.576)	Prec@5 75.500 (77.993)
Epoch: [38][1110/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 2.4919 (2.0336)	Prec@1 36.500 (47.565)	Prec@5 64.000 (77.974)
Epoch: [38][1120/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 2.0883 (2.0337)	Prec@1 49.500 (47.566)	Prec@5 75.000 (77.969)
Epoch: [38][1130/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 2.1342 (2.0344)	Prec@1 50.000 (47.561)	Prec@5 77.000 (77.956)
Epoch: [38][1140/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.9253 (2.0350)	Prec@1 50.000 (47.555)	Prec@5 80.000 (77.948)
Epoch: [38][1150/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.0639 (2.0350)	Prec@1 51.000 (47.557)	Prec@5 72.500 (77.943)
Epoch: [38][1160/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 1.8905 (2.0347)	Prec@1 46.000 (47.553)	Prec@5 84.000 (77.951)
Epoch: [38][1170/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.1811 (2.0343)	Prec@1 47.500 (47.571)	Prec@5 76.500 (77.965)
Epoch: [38][1180/9018]	Time 0.632 (0.616)	Data 0.001 (0.003)	Loss 1.9572 (2.0340)	Prec@1 45.500 (47.567)	Prec@5 82.000 (77.971)
Epoch: [38][1190/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.2051 (2.0338)	Prec@1 45.500 (47.577)	Prec@5 74.000 (77.975)
Epoch: [38][1200/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.7874 (2.0334)	Prec@1 53.000 (47.581)	Prec@5 85.500 (77.982)
Epoch: [38][1210/9018]	Time 0.637 (0.616)	Data 0.001 (0.003)	Loss 2.0624 (2.0333)	Prec@1 45.500 (47.575)	Prec@5 78.000 (77.986)
Epoch: [38][1220/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.3432 (2.0336)	Prec@1 40.500 (47.559)	Prec@5 72.000 (77.973)
Epoch: [38][1230/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.9751 (2.0337)	Prec@1 44.500 (47.548)	Prec@5 77.000 (77.970)
Epoch: [38][1240/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 1.9864 (2.0341)	Prec@1 50.000 (47.537)	Prec@5 77.000 (77.967)
Epoch: [38][1250/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1157 (2.0341)	Prec@1 50.000 (47.535)	Prec@5 74.500 (77.974)
Epoch: [38][1260/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 1.9496 (2.0339)	Prec@1 52.500 (47.540)	Prec@5 78.500 (77.985)
Epoch: [38][1270/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 1.9294 (2.0340)	Prec@1 46.000 (47.528)	Prec@5 78.500 (77.988)
Epoch: [38][1280/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.0647 (2.0348)	Prec@1 50.500 (47.519)	Prec@5 77.000 (77.974)
Epoch: [38][1290/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.9058 (2.0342)	Prec@1 50.000 (47.529)	Prec@5 82.000 (77.981)
Epoch: [38][1300/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1265 (2.0343)	Prec@1 47.000 (47.522)	Prec@5 72.000 (77.978)
Epoch: [38][1310/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.0096 (2.0347)	Prec@1 48.000 (47.512)	Prec@5 80.000 (77.969)
Epoch: [38][1320/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9426 (2.0350)	Prec@1 47.000 (47.503)	Prec@5 80.000 (77.970)
Epoch: [38][1330/9018]	Time 0.742 (0.616)	Data 0.001 (0.002)	Loss 2.1515 (2.0343)	Prec@1 46.000 (47.511)	Prec@5 77.000 (77.984)
Epoch: [38][1340/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1049 (2.0340)	Prec@1 47.000 (47.521)	Prec@5 77.500 (77.988)
Epoch: [38][1350/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1186 (2.0344)	Prec@1 44.500 (47.514)	Prec@5 76.000 (77.988)
Epoch: [38][1360/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 1.8722 (2.0342)	Prec@1 49.000 (47.513)	Prec@5 81.000 (77.994)
Epoch: [38][1370/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.1199 (2.0341)	Prec@1 46.500 (47.513)	Prec@5 75.000 (77.991)
Epoch: [38][1380/9018]	Time 0.724 (0.617)	Data 0.001 (0.002)	Loss 1.9109 (2.0347)	Prec@1 48.500 (47.498)	Prec@5 79.500 (77.982)
Epoch: [38][1390/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.2679 (2.0351)	Prec@1 47.000 (47.505)	Prec@5 72.500 (77.977)
Epoch: [38][1400/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 1.8461 (2.0348)	Prec@1 52.500 (47.517)	Prec@5 82.500 (77.984)
Epoch: [38][1410/9018]	Time 0.634 (0.617)	Data 0.001 (0.002)	Loss 2.0707 (2.0351)	Prec@1 48.500 (47.510)	Prec@5 74.500 (77.977)
Epoch: [38][1420/9018]	Time 0.626 (0.617)	Data 0.001 (0.002)	Loss 2.1118 (2.0352)	Prec@1 42.000 (47.503)	Prec@5 77.000 (77.971)
Epoch: [38][1430/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.0939 (2.0359)	Prec@1 45.000 (47.493)	Prec@5 76.500 (77.955)
Epoch: [38][1440/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.1972 (2.0358)	Prec@1 48.000 (47.501)	Prec@5 74.500 (77.954)
Epoch: [38][1450/9018]	Time 0.621 (0.617)	Data 0.001 (0.002)	Loss 1.9005 (2.0357)	Prec@1 49.500 (47.507)	Prec@5 80.000 (77.952)
Epoch: [38][1460/9018]	Time 0.619 (0.617)	Data 0.001 (0.002)	Loss 2.1726 (2.0357)	Prec@1 46.000 (47.512)	Prec@5 76.000 (77.955)
Epoch: [38][1470/9018]	Time 0.619 (0.617)	Data 0.001 (0.002)	Loss 2.2600 (2.0355)	Prec@1 46.000 (47.528)	Prec@5 77.000 (77.955)
Epoch: [38][1480/9018]	Time 0.609 (0.617)	Data 0.001 (0.002)	Loss 2.1903 (2.0357)	Prec@1 47.000 (47.534)	Prec@5 73.500 (77.948)
Epoch: [38][1490/9018]	Time 0.614 (0.617)	Data 0.001 (0.002)	Loss 2.0926 (2.0360)	Prec@1 46.000 (47.526)	Prec@5 75.500 (77.941)
Epoch: [38][1500/9018]	Time 0.615 (0.618)	Data 0.001 (0.002)	Loss 2.1531 (2.0358)	Prec@1 44.500 (47.532)	Prec@5 73.000 (77.943)
Epoch: [38][1510/9018]	Time 0.618 (0.618)	Data 0.001 (0.002)	Loss 1.9193 (2.0361)	Prec@1 48.500 (47.526)	Prec@5 80.500 (77.939)
Epoch: [38][1520/9018]	Time 0.614 (0.618)	Data 0.001 (0.002)	Loss 2.1053 (2.0358)	Prec@1 46.000 (47.529)	Prec@5 76.000 (77.942)
Epoch: [38][1530/9018]	Time 0.617 (0.618)	Data 0.001 (0.002)	Loss 2.1116 (2.0359)	Prec@1 42.500 (47.519)	Prec@5 79.500 (77.942)
Epoch: [38][1540/9018]	Time 0.619 (0.618)	Data 0.001 (0.002)	Loss 2.0791 (2.0363)	Prec@1 43.000 (47.515)	Prec@5 78.500 (77.933)
Epoch: [38][1550/9018]	Time 0.623 (0.618)	Data 0.001 (0.002)	Loss 2.2710 (2.0364)	Prec@1 42.500 (47.520)	Prec@5 75.500 (77.926)
Epoch: [38][1560/9018]	Time 0.617 (0.618)	Data 0.001 (0.002)	Loss 2.0790 (2.0365)	Prec@1 48.500 (47.526)	Prec@5 77.000 (77.927)
Epoch: [38][1570/9018]	Time 0.615 (0.618)	Data 0.001 (0.002)	Loss 2.0177 (2.0363)	Prec@1 48.500 (47.525)	Prec@5 80.500 (77.940)
Epoch: [38][1580/9018]	Time 0.617 (0.618)	Data 0.001 (0.002)	Loss 2.1580 (2.0365)	Prec@1 44.500 (47.525)	Prec@5 76.000 (77.938)
Epoch: [38][1590/9018]	Time 0.622 (0.618)	Data 0.001 (0.002)	Loss 1.8130 (2.0363)	Prec@1 54.000 (47.545)	Prec@5 85.000 (77.941)
Epoch: [38][1600/9018]	Time 0.615 (0.618)	Data 0.001 (0.002)	Loss 2.1391 (2.0362)	Prec@1 45.000 (47.548)	Prec@5 75.000 (77.946)
Epoch: [38][1610/9018]	Time 0.632 (0.618)	Data 0.001 (0.002)	Loss 1.9110 (2.0359)	Prec@1 50.500 (47.558)	Prec@5 78.000 (77.950)
Epoch: [38][1620/9018]	Time 0.610 (0.618)	Data 0.001 (0.002)	Loss 1.8700 (2.0361)	Prec@1 53.000 (47.559)	Prec@5 80.000 (77.944)
Epoch: [38][1630/9018]	Time 0.622 (0.618)	Data 0.001 (0.002)	Loss 2.0013 (2.0362)	Prec@1 48.000 (47.555)	Prec@5 80.500 (77.948)
Epoch: [38][1640/9018]	Time 0.619 (0.618)	Data 0.001 (0.002)	Loss 2.0366 (2.0366)	Prec@1 43.000 (47.534)	Prec@5 79.500 (77.941)
Epoch: [38][1650/9018]	Time 0.616 (0.619)	Data 0.001 (0.002)	Loss 1.9940 (2.0368)	Prec@1 47.500 (47.525)	Prec@5 81.000 (77.940)
Epoch: [38][1660/9018]	Time 0.731 (0.619)	Data 0.001 (0.002)	Loss 2.0740 (2.0372)	Prec@1 51.500 (47.520)	Prec@5 74.500 (77.932)
Epoch: [38][1670/9018]	Time 0.619 (0.619)	Data 0.001 (0.002)	Loss 2.0527 (2.0374)	Prec@1 49.000 (47.521)	Prec@5 77.000 (77.929)
Epoch: [38][1680/9018]	Time 0.619 (0.619)	Data 0.001 (0.002)	Loss 2.2793 (2.0378)	Prec@1 46.000 (47.513)	Prec@5 73.000 (77.917)
Epoch: [38][1690/9018]	Time 0.617 (0.619)	Data 0.001 (0.002)	Loss 2.0004 (2.0377)	Prec@1 46.500 (47.514)	Prec@5 78.000 (77.920)
Epoch: [38][1700/9018]	Time 0.616 (0.619)	Data 0.001 (0.002)	Loss 2.1269 (2.0378)	Prec@1 47.500 (47.512)	Prec@5 76.000 (77.911)
Epoch: [38][1710/9018]	Time 0.738 (0.619)	Data 0.001 (0.002)	Loss 1.9687 (2.0379)	Prec@1 50.500 (47.507)	Prec@5 79.000 (77.914)
Epoch: [38][1720/9018]	Time 0.634 (0.619)	Data 0.001 (0.002)	Loss 1.9783 (2.0381)	Prec@1 51.500 (47.507)	Prec@5 81.000 (77.913)
Epoch: [38][1730/9018]	Time 0.622 (0.619)	Data 0.001 (0.002)	Loss 2.3089 (2.0382)	Prec@1 42.500 (47.507)	Prec@5 75.000 (77.913)
Epoch: [38][1740/9018]	Time 0.615 (0.619)	Data 0.001 (0.002)	Loss 1.8260 (2.0383)	Prec@1 53.000 (47.503)	Prec@5 81.000 (77.908)
Epoch: [38][1750/9018]	Time 0.624 (0.619)	Data 0.001 (0.002)	Loss 2.0613 (2.0379)	Prec@1 49.500 (47.516)	Prec@5 75.500 (77.908)
Epoch: [38][1760/9018]	Time 0.615 (0.619)	Data 0.001 (0.002)	Loss 2.0042 (2.0381)	Prec@1 48.500 (47.516)	Prec@5 76.000 (77.902)
Epoch: [38][1770/9018]	Time 0.626 (0.619)	Data 0.001 (0.002)	Loss 1.8624 (2.0379)	Prec@1 49.500 (47.514)	Prec@5 80.000 (77.898)
Epoch: [38][1780/9018]	Time 0.620 (0.619)	Data 0.001 (0.002)	Loss 2.3558 (2.0383)	Prec@1 44.500 (47.504)	Prec@5 71.500 (77.891)
Epoch: [38][1790/9018]	Time 0.624 (0.619)	Data 0.001 (0.002)	Loss 1.9033 (2.0386)	Prec@1 47.500 (47.491)	Prec@5 80.000 (77.886)
Epoch: [38][1800/9018]	Time 0.614 (0.619)	Data 0.001 (0.002)	Loss 1.9313 (2.0385)	Prec@1 52.000 (47.495)	Prec@5 78.500 (77.887)
Epoch: [38][1810/9018]	Time 0.619 (0.619)	Data 0.001 (0.002)	Loss 2.0051 (2.0387)	Prec@1 45.500 (47.491)	Prec@5 78.500 (77.884)
Epoch: [38][1820/9018]	Time 0.621 (0.619)	Data 0.001 (0.002)	Loss 2.1630 (2.0389)	Prec@1 41.500 (47.485)	Prec@5 74.500 (77.876)
Epoch: [38][1830/9018]	Time 0.621 (0.619)	Data 0.001 (0.002)	Loss 2.1348 (2.0391)	Prec@1 44.500 (47.481)	Prec@5 77.000 (77.871)
Epoch: [38][1840/9018]	Time 0.621 (0.619)	Data 0.001 (0.002)	Loss 1.9712 (2.0391)	Prec@1 47.000 (47.477)	Prec@5 80.500 (77.872)
Epoch: [38][1850/9018]	Time 0.621 (0.620)	Data 0.001 (0.002)	Loss 2.3587 (2.0393)	Prec@1 42.500 (47.476)	Prec@5 76.000 (77.868)
Epoch: [38][1860/9018]	Time 0.622 (0.620)	Data 0.001 (0.002)	Loss 1.9891 (2.0391)	Prec@1 48.500 (47.479)	Prec@5 78.500 (77.871)
Epoch: [38][1870/9018]	Time 0.618 (0.620)	Data 0.001 (0.002)	Loss 2.0919 (2.0395)	Prec@1 46.000 (47.471)	Prec@5 76.000 (77.863)
Epoch: [38][1880/9018]	Time 0.619 (0.620)	Data 0.001 (0.002)	Loss 1.8250 (2.0393)	Prec@1 49.000 (47.471)	Prec@5 82.500 (77.873)
Epoch: [38][1890/9018]	Time 0.634 (0.620)	Data 0.001 (0.002)	Loss 2.0293 (2.0395)	Prec@1 50.000 (47.467)	Prec@5 77.500 (77.871)
Epoch: [38][1900/9018]	Time 0.620 (0.620)	Data 0.001 (0.002)	Loss 1.9990 (2.0396)	Prec@1 47.500 (47.460)	Prec@5 80.000 (77.876)
Epoch: [38][1910/9018]	Time 0.625 (0.620)	Data 0.001 (0.002)	Loss 2.2074 (2.0399)	Prec@1 44.500 (47.453)	Prec@5 74.500 (77.880)
Epoch: [38][1920/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.8812 (2.0398)	Prec@1 53.000 (47.450)	Prec@5 78.500 (77.879)
Epoch: [38][1930/9018]	Time 0.626 (0.620)	Data 0.001 (0.002)	Loss 1.8896 (2.0401)	Prec@1 50.000 (47.446)	Prec@5 77.500 (77.872)
Epoch: [38][1940/9018]	Time 0.615 (0.620)	Data 0.001 (0.002)	Loss 1.8863 (2.0401)	Prec@1 53.500 (47.443)	Prec@5 78.500 (77.877)
Epoch: [38][1950/9018]	Time 0.620 (0.620)	Data 0.001 (0.002)	Loss 2.1216 (2.0403)	Prec@1 47.000 (47.444)	Prec@5 76.000 (77.874)
Epoch: [38][1960/9018]	Time 0.624 (0.620)	Data 0.001 (0.002)	Loss 1.9697 (2.0403)	Prec@1 49.500 (47.448)	Prec@5 80.500 (77.871)
Epoch: [38][1970/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.9725 (2.0405)	Prec@1 51.500 (47.443)	Prec@5 80.000 (77.864)
Epoch: [38][1980/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 2.1581 (2.0404)	Prec@1 45.000 (47.444)	Prec@5 75.500 (77.867)
Epoch: [38][1990/9018]	Time 0.739 (0.620)	Data 0.001 (0.002)	Loss 2.1220 (2.0406)	Prec@1 42.000 (47.439)	Prec@5 79.500 (77.868)
Epoch: [38][2000/9018]	Time 0.618 (0.620)	Data 0.001 (0.002)	Loss 1.8328 (2.0405)	Prec@1 51.000 (47.446)	Prec@5 84.000 (77.867)
Epoch: [38][2010/9018]	Time 0.624 (0.620)	Data 0.001 (0.002)	Loss 1.9032 (2.0407)	Prec@1 51.000 (47.437)	Prec@5 80.000 (77.868)
Epoch: [38][2020/9018]	Time 0.620 (0.620)	Data 0.001 (0.002)	Loss 2.0908 (2.0406)	Prec@1 45.500 (47.440)	Prec@5 79.000 (77.872)
Epoch: [38][2030/9018]	Time 0.624 (0.620)	Data 0.001 (0.002)	Loss 2.0741 (2.0404)	Prec@1 45.500 (47.438)	Prec@5 77.000 (77.874)
Epoch: [38][2040/9018]	Time 0.750 (0.620)	Data 0.001 (0.002)	Loss 1.7442 (2.0402)	Prec@1 56.000 (47.444)	Prec@5 82.000 (77.870)
Epoch: [38][2050/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.9683 (2.0401)	Prec@1 45.500 (47.443)	Prec@5 79.500 (77.873)
Epoch: [38][2060/9018]	Time 0.632 (0.620)	Data 0.001 (0.002)	Loss 2.1443 (2.0404)	Prec@1 45.000 (47.434)	Prec@5 77.500 (77.869)
Epoch: [38][2070/9018]	Time 0.624 (0.620)	Data 0.001 (0.002)	Loss 2.0809 (2.0404)	Prec@1 49.000 (47.437)	Prec@5 76.000 (77.872)
Epoch: [38][2080/9018]	Time 0.624 (0.621)	Data 0.001 (0.002)	Loss 2.1404 (2.0405)	Prec@1 46.000 (47.434)	Prec@5 76.500 (77.869)
Epoch: [38][2090/9018]	Time 0.616 (0.621)	Data 0.001 (0.002)	Loss 1.8692 (2.0404)	Prec@1 49.500 (47.429)	Prec@5 82.000 (77.871)
Epoch: [38][2100/9018]	Time 0.633 (0.621)	Data 0.001 (0.002)	Loss 1.9412 (2.0403)	Prec@1 49.500 (47.431)	Prec@5 78.500 (77.872)
Epoch: [38][2110/9018]	Time 0.606 (0.621)	Data 0.001 (0.002)	Loss 1.8217 (2.0401)	Prec@1 52.500 (47.443)	Prec@5 80.500 (77.874)
Epoch: [38][2120/9018]	Time 0.626 (0.621)	Data 0.001 (0.002)	Loss 2.0381 (2.0401)	Prec@1 46.000 (47.447)	Prec@5 75.500 (77.871)
Epoch: [38][2130/9018]	Time 0.618 (0.621)	Data 0.001 (0.002)	Loss 2.1418 (2.0404)	Prec@1 45.000 (47.444)	Prec@5 75.500 (77.866)
Epoch: [38][2140/9018]	Time 0.616 (0.621)	Data 0.001 (0.002)	Loss 2.0227 (2.0403)	Prec@1 51.000 (47.444)	Prec@5 78.500 (77.869)
Epoch: [38][2150/9018]	Time 0.624 (0.621)	Data 0.001 (0.002)	Loss 2.1344 (2.0401)	Prec@1 51.500 (47.454)	Prec@5 78.000 (77.871)
Epoch: [38][2160/9018]	Time 0.619 (0.621)	Data 0.001 (0.002)	Loss 2.1201 (2.0404)	Prec@1 41.500 (47.452)	Prec@5 74.500 (77.867)
Epoch: [38][2170/9018]	Time 0.621 (0.621)	Data 0.001 (0.002)	Loss 1.8722 (2.0403)	Prec@1 55.500 (47.450)	Prec@5 80.000 (77.868)
Epoch: [38][2180/9018]	Time 0.615 (0.621)	Data 0.001 (0.002)	Loss 2.1442 (2.0403)	Prec@1 44.500 (47.446)	Prec@5 76.500 (77.869)
Epoch: [38][2190/9018]	Time 0.627 (0.621)	Data 0.001 (0.002)	Loss 1.7909 (2.0403)	Prec@1 52.000 (47.444)	Prec@5 79.500 (77.872)
Epoch: [38][2200/9018]	Time 0.619 (0.621)	Data 0.001 (0.002)	Loss 2.2651 (2.0404)	Prec@1 43.000 (47.442)	Prec@5 76.500 (77.873)
Epoch: [38][2210/9018]	Time 0.623 (0.621)	Data 0.001 (0.002)	Loss 2.1822 (2.0405)	Prec@1 46.000 (47.439)	Prec@5 74.000 (77.876)
Epoch: [38][2220/9018]	Time 0.614 (0.621)	Data 0.001 (0.002)	Loss 1.9915 (2.0408)	Prec@1 47.500 (47.427)	Prec@5 75.000 (77.870)
Epoch: [38][2230/9018]	Time 0.617 (0.621)	Data 0.001 (0.002)	Loss 2.0705 (2.0403)	Prec@1 47.500 (47.439)	Prec@5 80.500 (77.875)
Epoch: [38][2240/9018]	Time 0.625 (0.621)	Data 0.001 (0.002)	Loss 2.1498 (2.0403)	Prec@1 43.000 (47.435)	Prec@5 74.000 (77.871)
Epoch: [38][2250/9018]	Time 0.617 (0.621)	Data 0.001 (0.002)	Loss 1.7462 (2.0404)	Prec@1 53.000 (47.434)	Prec@5 85.000 (77.872)
Epoch: [38][2260/9018]	Time 0.626 (0.621)	Data 0.001 (0.002)	Loss 2.1193 (2.0404)	Prec@1 44.000 (47.438)	Prec@5 77.500 (77.872)
Epoch: [38][2270/9018]	Time 0.616 (0.621)	Data 0.001 (0.002)	Loss 2.2328 (2.0403)	Prec@1 48.000 (47.439)	Prec@5 72.000 (77.874)
Epoch: [38][2280/9018]	Time 0.613 (0.621)	Data 0.001 (0.002)	Loss 1.9908 (2.0402)	Prec@1 50.500 (47.442)	Prec@5 78.500 (77.877)
Epoch: [38][2290/9018]	Time 0.629 (0.621)	Data 0.001 (0.002)	Loss 1.9977 (2.0403)	Prec@1 52.500 (47.448)	Prec@5 78.000 (77.873)
Epoch: [38][2300/9018]	Time 0.617 (0.621)	Data 0.001 (0.002)	Loss 2.1691 (2.0401)	Prec@1 48.500 (47.448)	Prec@5 74.500 (77.878)
Epoch: [38][2310/9018]	Time 0.625 (0.621)	Data 0.001 (0.002)	Loss 1.9995 (2.0401)	Prec@1 49.000 (47.444)	Prec@5 80.000 (77.882)
Epoch: [38][2320/9018]	Time 0.754 (0.621)	Data 0.001 (0.002)	Loss 2.0513 (2.0402)	Prec@1 47.500 (47.437)	Prec@5 77.500 (77.880)
Epoch: [38][2330/9018]	Time 0.631 (0.621)	Data 0.001 (0.002)	Loss 2.0605 (2.0402)	Prec@1 45.000 (47.431)	Prec@5 77.000 (77.878)
Epoch: [38][2340/9018]	Time 0.624 (0.621)	Data 0.001 (0.002)	Loss 2.0568 (2.0404)	Prec@1 48.000 (47.429)	Prec@5 80.500 (77.877)
Epoch: [38][2350/9018]	Time 0.622 (0.621)	Data 0.001 (0.002)	Loss 2.0486 (2.0402)	Prec@1 49.000 (47.431)	Prec@5 77.500 (77.882)
Epoch: [38][2360/9018]	Time 0.631 (0.621)	Data 0.001 (0.002)	Loss 2.2557 (2.0400)	Prec@1 44.000 (47.432)	Prec@5 73.000 (77.882)
Epoch: [38][2370/9018]	Time 0.752 (0.621)	Data 0.001 (0.002)	Loss 2.3518 (2.0404)	Prec@1 41.500 (47.426)	Prec@5 71.000 (77.873)
Epoch: [38][2380/9018]	Time 0.618 (0.621)	Data 0.001 (0.002)	Loss 1.9487 (2.0404)	Prec@1 49.000 (47.429)	Prec@5 80.500 (77.874)
Epoch: [38][2390/9018]	Time 0.619 (0.622)	Data 0.001 (0.002)	Loss 2.0136 (2.0403)	Prec@1 49.500 (47.433)	Prec@5 78.500 (77.875)
Epoch: [38][2400/9018]	Time 0.638 (0.622)	Data 0.001 (0.002)	Loss 2.0263 (2.0409)	Prec@1 44.500 (47.420)	Prec@5 81.500 (77.870)
Epoch: [38][2410/9018]	Time 0.621 (0.622)	Data 0.001 (0.002)	Loss 2.1090 (2.0407)	Prec@1 41.000 (47.419)	Prec@5 74.000 (77.872)
Epoch: [38][2420/9018]	Time 0.610 (0.622)	Data 0.001 (0.002)	Loss 1.9039 (2.0408)	Prec@1 50.500 (47.415)	Prec@5 79.000 (77.869)
Epoch: [38][2430/9018]	Time 0.624 (0.622)	Data 0.001 (0.002)	Loss 1.7943 (2.0406)	Prec@1 53.000 (47.416)	Prec@5 81.000 (77.874)
Epoch: [38][2440/9018]	Time 0.629 (0.622)	Data 0.001 (0.002)	Loss 2.1731 (2.0409)	Prec@1 47.500 (47.414)	Prec@5 75.500 (77.868)
Epoch: [38][2450/9018]	Time 0.624 (0.622)	Data 0.001 (0.002)	Loss 1.9227 (2.0411)	Prec@1 52.000 (47.412)	Prec@5 81.500 (77.864)
Epoch: [38][2460/9018]	Time 0.618 (0.622)	Data 0.001 (0.002)	Loss 2.1342 (2.0409)	Prec@1 46.500 (47.418)	Prec@5 79.000 (77.869)
Epoch: [38][2470/9018]	Time 0.614 (0.622)	Data 0.001 (0.002)	Loss 1.9410 (2.0408)	Prec@1 46.000 (47.416)	Prec@5 84.500 (77.875)
Epoch: [38][2480/9018]	Time 0.643 (0.622)	Data 0.001 (0.002)	Loss 1.7636 (2.0409)	Prec@1 55.500 (47.416)	Prec@5 80.500 (77.870)
Epoch: [38][2490/9018]	Time 0.630 (0.622)	Data 0.001 (0.002)	Loss 1.9788 (2.0409)	Prec@1 45.500 (47.418)	Prec@5 77.500 (77.873)
Epoch: [38][2500/9018]	Time 0.630 (0.622)	Data 0.001 (0.002)	Loss 2.1461 (2.0411)	Prec@1 45.000 (47.415)	Prec@5 76.500 (77.867)
Epoch: [38][2510/9018]	Time 0.618 (0.622)	Data 0.001 (0.002)	Loss 2.0979 (2.0410)	Prec@1 42.000 (47.412)	Prec@5 75.500 (77.870)
Epoch: [38][2520/9018]	Time 0.617 (0.622)	Data 0.001 (0.002)	Loss 1.9461 (2.0411)	Prec@1 48.000 (47.413)	Prec@5 80.500 (77.869)
Epoch: [38][2530/9018]	Time 0.623 (0.622)	Data 0.001 (0.002)	Loss 2.2493 (2.0411)	Prec@1 46.500 (47.417)	Prec@5 75.000 (77.865)
Epoch: [38][2540/9018]	Time 0.627 (0.622)	Data 0.001 (0.002)	Loss 2.1182 (2.0411)	Prec@1 48.000 (47.421)	Prec@5 73.500 (77.866)
Epoch: [38][2550/9018]	Time 0.620 (0.622)	Data 0.001 (0.002)	Loss 2.0918 (2.0411)	Prec@1 53.000 (47.423)	Prec@5 78.500 (77.865)
Epoch: [38][2560/9018]	Time 0.620 (0.622)	Data 0.001 (0.002)	Loss 1.9061 (2.0411)	Prec@1 51.500 (47.421)	Prec@5 79.000 (77.863)
Epoch: [38][2570/9018]	Time 0.629 (0.622)	Data 0.001 (0.002)	Loss 1.9116 (2.0411)	Prec@1 53.000 (47.424)	Prec@5 77.500 (77.861)
Epoch: [38][2580/9018]	Time 0.624 (0.622)	Data 0.001 (0.002)	Loss 2.1844 (2.0413)	Prec@1 40.500 (47.413)	Prec@5 76.500 (77.861)
Epoch: [38][2590/9018]	Time 0.626 (0.622)	Data 0.001 (0.002)	Loss 1.9556 (2.0413)	Prec@1 54.000 (47.414)	Prec@5 79.000 (77.863)
Epoch: [38][2600/9018]	Time 0.621 (0.622)	Data 0.001 (0.002)	Loss 2.0279 (2.0413)	Prec@1 47.500 (47.415)	Prec@5 78.500 (77.864)
Epoch: [38][2610/9018]	Time 0.625 (0.622)	Data 0.001 (0.002)	Loss 2.0019 (2.0414)	Prec@1 45.500 (47.412)	Prec@5 77.500 (77.857)
Epoch: [38][2620/9018]	Time 0.619 (0.622)	Data 0.001 (0.002)	Loss 2.2979 (2.0417)	Prec@1 39.000 (47.403)	Prec@5 78.500 (77.856)
Epoch: [38][2630/9018]	Time 0.624 (0.622)	Data 0.001 (0.002)	Loss 2.1874 (2.0417)	Prec@1 43.500 (47.401)	Prec@5 77.500 (77.858)
Epoch: [38][2640/9018]	Time 0.619 (0.622)	Data 0.001 (0.002)	Loss 2.1716 (2.0419)	Prec@1 47.500 (47.400)	Prec@5 76.000 (77.851)
Epoch: [38][2650/9018]	Time 0.756 (0.622)	Data 0.001 (0.002)	Loss 1.9518 (2.0418)	Prec@1 46.000 (47.399)	Prec@5 81.000 (77.851)
Epoch: [38][2660/9018]	Time 0.617 (0.622)	Data 0.001 (0.002)	Loss 2.1615 (2.0422)	Prec@1 42.500 (47.393)	Prec@5 76.000 (77.845)
Epoch: [38][2670/9018]	Time 0.623 (0.622)	Data 0.001 (0.002)	Loss 2.0017 (2.0419)	Prec@1 51.500 (47.399)	Prec@5 78.500 (77.851)
Epoch: [38][2680/9018]	Time 0.622 (0.622)	Data 0.001 (0.002)	Loss 2.1726 (2.0419)	Prec@1 43.500 (47.400)	Prec@5 77.000 (77.850)
Epoch: [38][2690/9018]	Time 0.618 (0.622)	Data 0.001 (0.002)	Loss 1.9718 (2.0419)	Prec@1 47.000 (47.395)	Prec@5 78.500 (77.850)
Epoch: [38][2700/9018]	Time 0.733 (0.622)	Data 0.001 (0.002)	Loss 1.8203 (2.0418)	Prec@1 49.000 (47.394)	Prec@5 84.500 (77.856)
Epoch: [38][2710/9018]	Time 0.620 (0.622)	Data 0.001 (0.002)	Loss 2.1897 (2.0421)	Prec@1 48.000 (47.390)	Prec@5 75.500 (77.852)
Epoch: [38][2720/9018]	Time 0.616 (0.622)	Data 0.001 (0.002)	Loss 2.0240 (2.0420)	Prec@1 50.000 (47.394)	Prec@5 80.000 (77.854)
Epoch: [38][2730/9018]	Time 0.649 (0.622)	Data 0.001 (0.002)	Loss 1.7283 (2.0417)	Prec@1 53.000 (47.401)	Prec@5 82.500 (77.857)
Epoch: [38][2740/9018]	Time 0.619 (0.622)	Data 0.001 (0.002)	Loss 1.8735 (2.0419)	Prec@1 51.000 (47.399)	Prec@5 84.500 (77.857)
Epoch: [38][2750/9018]	Time 0.614 (0.623)	Data 0.001 (0.002)	Loss 1.9670 (2.0419)	Prec@1 47.500 (47.399)	Prec@5 81.000 (77.858)
Epoch: [38][2760/9018]	Time 0.620 (0.623)	Data 0.001 (0.002)	Loss 2.2229 (2.0419)	Prec@1 40.000 (47.399)	Prec@5 75.000 (77.860)
Epoch: [38][2770/9018]	Time 0.616 (0.623)	Data 0.001 (0.002)	Loss 2.1459 (2.0418)	Prec@1 43.500 (47.401)	Prec@5 79.000 (77.863)
Epoch: [38][2780/9018]	Time 0.619 (0.623)	Data 0.001 (0.002)	Loss 1.8831 (2.0419)	Prec@1 54.000 (47.396)	Prec@5 81.000 (77.863)
Epoch: [38][2790/9018]	Time 0.621 (0.623)	Data 0.001 (0.002)	Loss 1.9334 (2.0418)	Prec@1 51.000 (47.396)	Prec@5 81.000 (77.864)
Epoch: [38][2800/9018]	Time 0.612 (0.623)	Data 0.001 (0.002)	Loss 2.0298 (2.0418)	Prec@1 46.000 (47.395)	Prec@5 77.000 (77.864)
Epoch: [38][2810/9018]	Time 0.616 (0.623)	Data 0.001 (0.002)	Loss 1.8372 (2.0415)	Prec@1 53.500 (47.399)	Prec@5 82.500 (77.871)
Epoch: [38][2820/9018]	Time 0.622 (0.623)	Data 0.001 (0.002)	Loss 2.0328 (2.0416)	Prec@1 43.000 (47.392)	Prec@5 80.500 (77.870)
Epoch: [38][2830/9018]	Time 0.624 (0.623)	Data 0.001 (0.002)	Loss 2.2897 (2.0418)	Prec@1 45.500 (47.393)	Prec@5 72.500 (77.866)
Epoch: [38][2840/9018]	Time 0.624 (0.623)	Data 0.001 (0.002)	Loss 2.0568 (2.0417)	Prec@1 50.000 (47.396)	Prec@5 78.500 (77.863)
Epoch: [38][2850/9018]	Time 0.619 (0.623)	Data 0.001 (0.002)	Loss 1.9548 (2.0420)	Prec@1 49.000 (47.389)	Prec@5 80.500 (77.858)
Epoch: [38][2860/9018]	Time 0.622 (0.623)	Data 0.001 (0.002)	Loss 2.2170 (2.0422)	Prec@1 40.000 (47.385)	Prec@5 74.500 (77.856)
Epoch: [38][2870/9018]	Time 0.617 (0.623)	Data 0.001 (0.002)	Loss 1.8977 (2.0421)	Prec@1 50.500 (47.386)	Prec@5 82.000 (77.859)
Epoch: [38][2880/9018]	Time 0.618 (0.623)	Data 0.001 (0.002)	Loss 2.1825 (2.0423)	Prec@1 45.000 (47.384)	Prec@5 74.000 (77.853)
Epoch: [38][2890/9018]	Time 0.615 (0.623)	Data 0.001 (0.002)	Loss 2.0771 (2.0425)	Prec@1 47.500 (47.381)	Prec@5 76.500 (77.849)
Epoch: [38][2900/9018]	Time 0.618 (0.623)	Data 0.001 (0.002)	Loss 1.9919 (2.0424)	Prec@1 49.000 (47.383)	Prec@5 78.500 (77.852)
Epoch: [38][2910/9018]	Time 0.642 (0.623)	Data 0.001 (0.002)	Loss 1.8504 (2.0426)	Prec@1 54.000 (47.385)	Prec@5 83.500 (77.851)
Epoch: [38][2920/9018]	Time 0.617 (0.623)	Data 0.001 (0.002)	Loss 1.9410 (2.0428)	Prec@1 45.500 (47.378)	Prec@5 81.500 (77.850)
Epoch: [38][2930/9018]	Time 0.611 (0.623)	Data 0.001 (0.002)	Loss 1.9603 (2.0429)	Prec@1 48.500 (47.381)	Prec@5 79.500 (77.849)
Epoch: [38][2940/9018]	Time 0.621 (0.623)	Data 0.001 (0.002)	Loss 1.9560 (2.0429)	Prec@1 48.500 (47.382)	Prec@5 77.000 (77.850)
Epoch: [38][2950/9018]	Time 0.622 (0.623)	Data 0.001 (0.002)	Loss 2.4243 (2.0430)	Prec@1 42.500 (47.387)	Prec@5 73.500 (77.852)
Epoch: [38][2960/9018]	Time 0.610 (0.623)	Data 0.001 (0.002)	Loss 1.8830 (2.0430)	Prec@1 49.500 (47.388)	Prec@5 80.000 (77.852)
Epoch: [38][2970/9018]	Time 0.626 (0.623)	Data 0.001 (0.002)	Loss 2.0147 (2.0427)	Prec@1 46.000 (47.394)	Prec@5 80.500 (77.855)
Epoch: [38][2980/9018]	Time 0.735 (0.623)	Data 0.001 (0.002)	Loss 2.1957 (2.0428)	Prec@1 42.000 (47.398)	Prec@5 74.500 (77.854)
Epoch: [38][2990/9018]	Time 0.618 (0.623)	Data 0.001 (0.001)	Loss 2.2307 (2.0430)	Prec@1 42.500 (47.394)	Prec@5 76.000 (77.850)
Epoch: [38][3000/9018]	Time 0.618 (0.623)	Data 0.001 (0.001)	Loss 2.2333 (2.0431)	Prec@1 41.500 (47.394)	Prec@5 73.000 (77.849)
Epoch: [38][3010/9018]	Time 0.622 (0.623)	Data 0.001 (0.001)	Loss 1.9432 (2.0432)	Prec@1 47.500 (47.391)	Prec@5 80.000 (77.847)
Epoch: [38][3020/9018]	Time 0.618 (0.623)	Data 0.001 (0.001)	Loss 1.9099 (2.0432)	Prec@1 48.500 (47.390)	Prec@5 81.000 (77.847)
Epoch: [38][3030/9018]	Time 0.733 (0.623)	Data 0.001 (0.001)	Loss 2.1481 (2.0431)	Prec@1 44.000 (47.391)	Prec@5 78.500 (77.851)
Epoch: [38][3040/9018]	Time 0.618 (0.623)	Data 0.001 (0.001)	Loss 1.8562 (2.0430)	Prec@1 48.500 (47.394)	Prec@5 84.500 (77.854)
Epoch: [38][3050/9018]	Time 0.619 (0.623)	Data 0.001 (0.001)	Loss 1.9557 (2.0428)	Prec@1 53.000 (47.396)	Prec@5 78.000 (77.856)
Epoch: [38][3060/9018]	Time 0.625 (0.623)	Data 0.001 (0.001)	Loss 2.0981 (2.0430)	Prec@1 45.000 (47.387)	Prec@5 78.500 (77.855)
Epoch: [38][3070/9018]	Time 0.618 (0.623)	Data 0.001 (0.001)	Loss 2.2064 (2.0430)	Prec@1 44.000 (47.390)	Prec@5 75.500 (77.854)
Epoch: [38][3080/9018]	Time 0.618 (0.623)	Data 0.001 (0.001)	Loss 1.9687 (2.0429)	Prec@1 49.500 (47.385)	Prec@5 79.000 (77.859)
Epoch: [38][3090/9018]	Time 0.618 (0.623)	Data 0.001 (0.001)	Loss 2.2937 (2.0432)	Prec@1 36.500 (47.375)	Prec@5 72.000 (77.854)
Epoch: [38][3100/9018]	Time 0.626 (0.623)	Data 0.001 (0.001)	Loss 1.9753 (2.0434)	Prec@1 50.000 (47.368)	Prec@5 79.500 (77.848)
Epoch: [38][3110/9018]	Time 0.624 (0.623)	Data 0.001 (0.001)	Loss 2.1369 (2.0435)	Prec@1 47.000 (47.366)	Prec@5 74.000 (77.848)
Epoch: [38][3120/9018]	Time 0.631 (0.623)	Data 0.001 (0.001)	Loss 2.0037 (2.0435)	Prec@1 47.500 (47.362)	Prec@5 80.000 (77.851)
Epoch: [38][3130/9018]	Time 0.611 (0.623)	Data 0.001 (0.001)	Loss 1.8963 (2.0434)	Prec@1 52.500 (47.362)	Prec@5 78.500 (77.850)
Epoch: [38][3140/9018]	Time 0.620 (0.623)	Data 0.001 (0.001)	Loss 2.0889 (2.0433)	Prec@1 47.500 (47.366)	Prec@5 77.500 (77.854)
Epoch: [38][3150/9018]	Time 0.640 (0.623)	Data 0.001 (0.001)	Loss 2.0536 (2.0434)	Prec@1 47.500 (47.365)	Prec@5 80.500 (77.854)
Epoch: [38][3160/9018]	Time 0.627 (0.623)	Data 0.001 (0.001)	Loss 1.9993 (2.0433)	Prec@1 46.500 (47.367)	Prec@5 76.500 (77.856)
Epoch: [38][3170/9018]	Time 0.623 (0.623)	Data 0.001 (0.001)	Loss 2.1721 (2.0431)	Prec@1 47.000 (47.370)	Prec@5 72.500 (77.859)
Epoch: [38][3180/9018]	Time 0.616 (0.623)	Data 0.001 (0.001)	Loss 2.1523 (2.0431)	Prec@1 41.500 (47.369)	Prec@5 77.500 (77.858)
Epoch: [38][3190/9018]	Time 0.621 (0.623)	Data 0.001 (0.001)	Loss 1.9536 (2.0431)	Prec@1 50.000 (47.371)	Prec@5 77.000 (77.860)
Epoch: [38][3200/9018]	Time 0.621 (0.623)	Data 0.001 (0.001)	Loss 2.0056 (2.0432)	Prec@1 50.500 (47.371)	Prec@5 79.000 (77.857)
Epoch: [38][3210/9018]	Time 0.615 (0.623)	Data 0.001 (0.001)	Loss 2.2927 (2.0435)	Prec@1 41.000 (47.367)	Prec@5 70.000 (77.854)
Epoch: [38][3220/9018]	Time 0.615 (0.623)	Data 0.001 (0.001)	Loss 2.3212 (2.0435)	Prec@1 41.500 (47.365)	Prec@5 75.500 (77.854)
Epoch: [38][3230/9018]	Time 0.621 (0.623)	Data 0.001 (0.001)	Loss 2.0913 (2.0437)	Prec@1 46.000 (47.361)	Prec@5 79.500 (77.851)
Epoch: [38][3240/9018]	Time 0.630 (0.623)	Data 0.001 (0.001)	Loss 2.1151 (2.0438)	Prec@1 49.500 (47.362)	Prec@5 75.500 (77.850)
Epoch: [38][3250/9018]	Time 0.622 (0.623)	Data 0.001 (0.001)	Loss 1.9825 (2.0436)	Prec@1 51.000 (47.364)	Prec@5 77.500 (77.852)
Epoch: [38][3260/9018]	Time 0.634 (0.623)	Data 0.001 (0.001)	Loss 1.9621 (2.0436)	Prec@1 47.000 (47.364)	Prec@5 78.000 (77.848)
Epoch: [38][3270/9018]	Time 0.609 (0.623)	Data 0.001 (0.001)	Loss 2.0048 (2.0438)	Prec@1 45.500 (47.358)	Prec@5 77.500 (77.845)
Epoch: [38][3280/9018]	Time 0.624 (0.623)	Data 0.001 (0.001)	Loss 2.1001 (2.0438)	Prec@1 44.500 (47.352)	Prec@5 80.000 (77.843)
Epoch: [38][3290/9018]	Time 0.624 (0.623)	Data 0.001 (0.001)	Loss 1.8208 (2.0438)	Prec@1 52.500 (47.350)	Prec@5 80.500 (77.842)
Epoch: [38][3300/9018]	Time 0.624 (0.623)	Data 0.001 (0.001)	Loss 1.9516 (2.0437)	Prec@1 48.500 (47.355)	Prec@5 81.500 (77.843)
Epoch: [38][3310/9018]	Time 0.740 (0.624)	Data 0.001 (0.001)	Loss 2.0847 (2.0438)	Prec@1 46.000 (47.353)	Prec@5 78.500 (77.839)
Epoch: [38][3320/9018]	Time 0.626 (0.624)	Data 0.001 (0.001)	Loss 2.0956 (2.0438)	Prec@1 47.500 (47.352)	Prec@5 77.000 (77.839)
Epoch: [38][3330/9018]	Time 0.627 (0.624)	Data 0.001 (0.001)	Loss 1.8415 (2.0439)	Prec@1 50.000 (47.351)	Prec@5 81.000 (77.838)
Epoch: [38][3340/9018]	Time 0.617 (0.624)	Data 0.001 (0.001)	Loss 2.2737 (2.0439)	Prec@1 39.500 (47.351)	Prec@5 73.000 (77.837)
Epoch: [38][3350/9018]	Time 0.624 (0.624)	Data 0.002 (0.001)	Loss 1.9684 (2.0439)	Prec@1 51.000 (47.351)	Prec@5 80.500 (77.839)
Epoch: [38][3360/9018]	Time 0.721 (0.624)	Data 0.001 (0.001)	Loss 1.9426 (2.0438)	Prec@1 51.500 (47.350)	Prec@5 81.000 (77.838)
Epoch: [38][3370/9018]	Time 0.607 (0.624)	Data 0.001 (0.001)	Loss 2.2401 (2.0439)	Prec@1 42.000 (47.350)	Prec@5 73.500 (77.836)
Epoch: [38][3380/9018]	Time 0.621 (0.624)	Data 0.001 (0.001)	Loss 2.0657 (2.0439)	Prec@1 47.500 (47.345)	Prec@5 76.500 (77.835)
Epoch: [38][3390/9018]	Time 0.619 (0.624)	Data 0.001 (0.001)	Loss 2.0519 (2.0439)	Prec@1 43.500 (47.345)	Prec@5 79.000 (77.833)
Epoch: [38][3400/9018]	Time 0.628 (0.624)	Data 0.001 (0.001)	Loss 2.1907 (2.0440)	Prec@1 41.500 (47.345)	Prec@5 80.500 (77.834)
Epoch: [38][3410/9018]	Time 0.622 (0.624)	Data 0.001 (0.001)	Loss 1.9180 (2.0440)	Prec@1 51.500 (47.346)	Prec@5 81.000 (77.835)
Epoch: [38][3420/9018]	Time 0.622 (0.624)	Data 0.001 (0.001)	Loss 2.0588 (2.0440)	Prec@1 44.000 (47.346)	Prec@5 77.500 (77.835)
Epoch: [38][3430/9018]	Time 0.630 (0.624)	Data 0.001 (0.001)	Loss 2.0609 (2.0440)	Prec@1 44.000 (47.342)	Prec@5 77.000 (77.833)
Epoch: [38][3440/9018]	Time 0.620 (0.624)	Data 0.001 (0.001)	Loss 1.9300 (2.0441)	Prec@1 44.500 (47.340)	Prec@5 81.000 (77.832)
Epoch: [38][3450/9018]	Time 0.627 (0.624)	Data 0.001 (0.001)	Loss 1.9606 (2.0438)	Prec@1 46.000 (47.344)	Prec@5 79.000 (77.838)
Epoch: [38][3460/9018]	Time 0.624 (0.624)	Data 0.001 (0.001)	Loss 2.1420 (2.0438)	Prec@1 45.500 (47.341)	Prec@5 76.000 (77.841)
Epoch: [38][3470/9018]	Time 0.616 (0.624)	Data 0.001 (0.001)	Loss 2.1338 (2.0441)	Prec@1 44.500 (47.334)	Prec@5 78.500 (77.837)
Epoch: [38][3480/9018]	Time 0.621 (0.624)	Data 0.001 (0.001)	Loss 2.0646 (2.0441)	Prec@1 53.500 (47.338)	Prec@5 79.000 (77.841)
Epoch: [38][3490/9018]	Time 0.620 (0.624)	Data 0.001 (0.001)	Loss 2.0801 (2.0440)	Prec@1 48.000 (47.340)	Prec@5 80.000 (77.845)
Epoch: [38][3500/9018]	Time 0.624 (0.624)	Data 0.001 (0.001)	Loss 1.9830 (2.0440)	Prec@1 53.500 (47.337)	Prec@5 78.000 (77.845)
Epoch: [38][3510/9018]	Time 0.628 (0.624)	Data 0.001 (0.001)	Loss 1.8666 (2.0440)	Prec@1 51.500 (47.342)	Prec@5 82.000 (77.846)
Epoch: [38][3520/9018]	Time 0.635 (0.624)	Data 0.001 (0.001)	Loss 1.9537 (2.0440)	Prec@1 49.000 (47.345)	Prec@5 81.000 (77.845)
Epoch: [38][3530/9018]	Time 0.621 (0.624)	Data 0.001 (0.001)	Loss 2.2058 (2.0441)	Prec@1 45.000 (47.344)	Prec@5 78.000 (77.845)
Epoch: [38][3540/9018]	Time 0.620 (0.624)	Data 0.001 (0.001)	Loss 1.9270 (2.0442)	Prec@1 49.500 (47.339)	Prec@5 81.000 (77.843)
Epoch: [38][3550/9018]	Time 0.636 (0.624)	Data 0.001 (0.001)	Loss 1.8367 (2.0442)	Prec@1 53.000 (47.338)	Prec@5 80.500 (77.845)
Epoch: [38][3560/9018]	Time 0.613 (0.624)	Data 0.001 (0.001)	Loss 2.3314 (2.0444)	Prec@1 42.500 (47.334)	Prec@5 72.500 (77.841)
Epoch: [38][3570/9018]	Time 0.619 (0.624)	Data 0.001 (0.001)	Loss 2.2077 (2.0444)	Prec@1 41.500 (47.336)	Prec@5 74.500 (77.841)
Epoch: [38][3580/9018]	Time 0.615 (0.624)	Data 0.001 (0.001)	Loss 2.0641 (2.0443)	Prec@1 47.500 (47.337)	Prec@5 77.000 (77.845)
Epoch: [38][3590/9018]	Time 0.622 (0.624)	Data 0.001 (0.001)	Loss 2.3372 (2.0443)	Prec@1 42.000 (47.343)	Prec@5 70.000 (77.841)
Epoch: [38][3600/9018]	Time 0.622 (0.624)	Data 0.001 (0.001)	Loss 1.8654 (2.0445)	Prec@1 49.500 (47.339)	Prec@5 83.500 (77.838)
Epoch: [38][3610/9018]	Time 0.618 (0.624)	Data 0.001 (0.001)	Loss 2.0676 (2.0446)	Prec@1 47.000 (47.340)	Prec@5 78.000 (77.838)
Epoch: [38][3620/9018]	Time 0.616 (0.624)	Data 0.001 (0.001)	Loss 2.0308 (2.0446)	Prec@1 49.000 (47.337)	Prec@5 76.500 (77.837)
Epoch: [38][3630/9018]	Time 0.627 (0.624)	Data 0.001 (0.001)	Loss 2.1227 (2.0446)	Prec@1 41.500 (47.336)	Prec@5 78.500 (77.833)
Epoch: [38][3640/9018]	Time 0.757 (0.624)	Data 0.001 (0.001)	Loss 1.8778 (2.0446)	Prec@1 52.500 (47.337)	Prec@5 80.000 (77.831)
Epoch: [38][3650/9018]	Time 0.626 (0.624)	Data 0.001 (0.001)	Loss 1.9237 (2.0446)	Prec@1 51.000 (47.336)	Prec@5 77.000 (77.830)
Epoch: [38][3660/9018]	Time 0.620 (0.624)	Data 0.001 (0.001)	Loss 2.3025 (2.0448)	Prec@1 43.500 (47.335)	Prec@5 72.000 (77.825)
Epoch: [38][3670/9018]	Time 0.621 (0.624)	Data 0.001 (0.001)	Loss 2.3173 (2.0451)	Prec@1 41.000 (47.328)	Prec@5 73.500 (77.822)
Epoch: [38][3680/9018]	Time 0.618 (0.624)	Data 0.001 (0.001)	Loss 1.9395 (2.0452)	Prec@1 50.500 (47.325)	Prec@5 78.000 (77.821)
Epoch: [38][3690/9018]	Time 0.615 (0.624)	Data 0.001 (0.001)	Loss 1.9418 (2.0452)	Prec@1 51.500 (47.323)	Prec@5 79.500 (77.822)
Epoch: [38][3700/9018]	Time 0.612 (0.624)	Data 0.001 (0.001)	Loss 1.8391 (2.0453)	Prec@1 51.500 (47.322)	Prec@5 81.500 (77.818)
Epoch: [38][3710/9018]	Time 0.615 (0.624)	Data 0.001 (0.001)	Loss 2.0445 (2.0450)	Prec@1 50.500 (47.328)	Prec@5 77.500 (77.824)
Epoch: [38][3720/9018]	Time 0.612 (0.624)	Data 0.001 (0.001)	Loss 2.2306 (2.0451)	Prec@1 43.000 (47.327)	Prec@5 76.000 (77.822)
Epoch: [38][3730/9018]	Time 0.620 (0.624)	Data 0.001 (0.001)	Loss 2.1643 (2.0452)	Prec@1 44.500 (47.329)	Prec@5 79.000 (77.820)
Epoch: [38][3740/9018]	Time 0.613 (0.624)	Data 0.001 (0.001)	Loss 1.8418 (2.0450)	Prec@1 47.500 (47.332)	Prec@5 82.500 (77.825)
Epoch: [38][3750/9018]	Time 0.617 (0.624)	Data 0.001 (0.001)	Loss 1.8637 (2.0448)	Prec@1 52.500 (47.335)	Prec@5 79.000 (77.828)
Epoch: [38][3760/9018]	Time 0.616 (0.624)	Data 0.001 (0.001)	Loss 1.7778 (2.0447)	Prec@1 48.500 (47.332)	Prec@5 84.000 (77.830)
Epoch: [38][3770/9018]	Time 0.620 (0.624)	Data 0.001 (0.001)	Loss 2.0617 (2.0446)	Prec@1 47.500 (47.334)	Prec@5 78.000 (77.834)
Epoch: [38][3780/9018]	Time 0.621 (0.624)	Data 0.001 (0.001)	Loss 1.9105 (2.0444)	Prec@1 52.500 (47.338)	Prec@5 81.000 (77.837)
Epoch: [38][3790/9018]	Time 0.626 (0.624)	Data 0.001 (0.001)	Loss 2.0721 (2.0444)	Prec@1 44.000 (47.336)	Prec@5 77.500 (77.836)
Epoch: [38][3800/9018]	Time 0.618 (0.624)	Data 0.001 (0.001)	Loss 2.1412 (2.0446)	Prec@1 47.500 (47.333)	Prec@5 76.000 (77.830)
Epoch: [38][3810/9018]	Time 0.617 (0.624)	Data 0.001 (0.001)	Loss 1.9358 (2.0445)	Prec@1 48.500 (47.334)	Prec@5 78.000 (77.830)
Epoch: [38][3820/9018]	Time 0.623 (0.624)	Data 0.001 (0.001)	Loss 2.3173 (2.0446)	Prec@1 42.500 (47.335)	Prec@5 74.500 (77.825)
Epoch: [38][3830/9018]	Time 0.618 (0.624)	Data 0.001 (0.001)	Loss 2.1951 (2.0446)	Prec@1 40.000 (47.335)	Prec@5 74.000 (77.825)
Epoch: [38][3840/9018]	Time 0.624 (0.624)	Data 0.001 (0.001)	Loss 2.2178 (2.0447)	Prec@1 44.000 (47.335)	Prec@5 74.500 (77.825)
Epoch: [38][3850/9018]	Time 0.612 (0.624)	Data 0.001 (0.001)	Loss 2.3569 (2.0449)	Prec@1 38.500 (47.333)	Prec@5 74.000 (77.824)
Epoch: [38][3860/9018]	Time 0.620 (0.624)	Data 0.001 (0.001)	Loss 1.9429 (2.0448)	Prec@1 52.000 (47.337)	Prec@5 81.000 (77.826)
Epoch: [38][3870/9018]	Time 0.624 (0.624)	Data 0.001 (0.001)	Loss 2.3149 (2.0449)	Prec@1 43.500 (47.333)	Prec@5 72.500 (77.824)
Epoch: [38][3880/9018]	Time 0.619 (0.624)	Data 0.001 (0.001)	Loss 2.2756 (2.0450)	Prec@1 40.500 (47.330)	Prec@5 75.000 (77.820)
Epoch: [38][3890/9018]	Time 0.613 (0.624)	Data 0.001 (0.001)	Loss 2.0321 (2.0450)	Prec@1 50.500 (47.335)	Prec@5 80.000 (77.818)
Epoch: [38][3900/9018]	Time 0.630 (0.624)	Data 0.001 (0.001)	Loss 1.9462 (2.0450)	Prec@1 51.500 (47.335)	Prec@5 80.500 (77.819)
Epoch: [38][3910/9018]	Time 0.622 (0.624)	Data 0.001 (0.001)	Loss 2.1578 (2.0450)	Prec@1 47.500 (47.337)	Prec@5 74.000 (77.817)
Epoch: [38][3920/9018]	Time 0.729 (0.624)	Data 0.001 (0.001)	Loss 2.0022 (2.0451)	Prec@1 46.500 (47.335)	Prec@5 80.500 (77.821)
Epoch: [38][3930/9018]	Time 0.608 (0.624)	Data 0.001 (0.001)	Loss 2.2386 (2.0451)	Prec@1 47.000 (47.335)	Prec@5 74.500 (77.819)
Epoch: [38][3940/9018]	Time 0.632 (0.624)	Data 0.001 (0.001)	Loss 2.0647 (2.0452)	Prec@1 47.000 (47.332)	Prec@5 77.500 (77.818)
Epoch: [38][3950/9018]	Time 0.615 (0.624)	Data 0.001 (0.001)	Loss 1.9289 (2.0452)	Prec@1 52.000 (47.332)	Prec@5 78.500 (77.818)
Epoch: [38][3960/9018]	Time 0.610 (0.624)	Data 0.001 (0.001)	Loss 1.9714 (2.0450)	Prec@1 49.000 (47.335)	Prec@5 78.500 (77.820)
Epoch: [38][3970/9018]	Time 0.754 (0.624)	Data 0.001 (0.001)	Loss 2.0273 (2.0451)	Prec@1 44.000 (47.334)	Prec@5 79.000 (77.820)
Epoch: [38][3980/9018]	Time 0.627 (0.624)	Data 0.001 (0.001)	Loss 2.0455 (2.0449)	Prec@1 49.500 (47.336)	Prec@5 79.000 (77.823)
Epoch: [38][3990/9018]	Time 0.619 (0.624)	Data 0.001 (0.001)	Loss 1.8799 (2.0450)	Prec@1 51.000 (47.335)	Prec@5 80.500 (77.821)
Epoch: [38][4000/9018]	Time 0.615 (0.624)	Data 0.001 (0.001)	Loss 1.9732 (2.0450)	Prec@1 49.500 (47.335)	Prec@5 78.000 (77.820)
Epoch: [38][4010/9018]	Time 0.622 (0.624)	Data 0.001 (0.001)	Loss 1.8236 (2.0450)	Prec@1 50.500 (47.336)	Prec@5 81.500 (77.820)
Epoch: [38][4020/9018]	Time 0.612 (0.624)	Data 0.001 (0.001)	Loss 2.0759 (2.0451)	Prec@1 52.000 (47.337)	Prec@5 75.500 (77.819)
Epoch: [38][4030/9018]	Time 0.628 (0.624)	Data 0.001 (0.001)	Loss 2.0505 (2.0452)	Prec@1 48.500 (47.335)	Prec@5 75.500 (77.816)
Epoch: [38][4040/9018]	Time 0.618 (0.624)	Data 0.001 (0.001)	Loss 2.2173 (2.0452)	Prec@1 47.000 (47.336)	Prec@5 74.000 (77.815)
Epoch: [38][4050/9018]	Time 0.618 (0.624)	Data 0.001 (0.001)	Loss 2.0567 (2.0453)	Prec@1 42.000 (47.338)	Prec@5 76.000 (77.814)
Epoch: [38][4060/9018]	Time 0.618 (0.625)	Data 0.001 (0.001)	Loss 2.2257 (2.0454)	Prec@1 45.500 (47.331)	Prec@5 73.500 (77.811)
Epoch: [38][4070/9018]	Time 0.644 (0.625)	Data 0.001 (0.001)	Loss 2.0891 (2.0453)	Prec@1 47.000 (47.337)	Prec@5 75.000 (77.813)
Epoch: [38][4080/9018]	Time 0.614 (0.625)	Data 0.001 (0.001)	Loss 2.0412 (2.0454)	Prec@1 45.000 (47.335)	Prec@5 81.500 (77.811)
Epoch: [38][4090/9018]	Time 0.622 (0.625)	Data 0.001 (0.001)	Loss 2.1235 (2.0456)	Prec@1 43.000 (47.330)	Prec@5 77.000 (77.807)
Epoch: [38][4100/9018]	Time 0.628 (0.625)	Data 0.001 (0.001)	Loss 2.1414 (2.0456)	Prec@1 42.500 (47.328)	Prec@5 76.000 (77.808)
Epoch: [38][4110/9018]	Time 0.622 (0.625)	Data 0.001 (0.001)	Loss 1.9476 (2.0456)	Prec@1 54.000 (47.330)	Prec@5 80.500 (77.812)
Epoch: [38][4120/9018]	Time 0.623 (0.625)	Data 0.001 (0.001)	Loss 1.9877 (2.0455)	Prec@1 52.500 (47.333)	Prec@5 79.000 (77.814)
Epoch: [38][4130/9018]	Time 0.626 (0.625)	Data 0.001 (0.001)	Loss 1.9270 (2.0455)	Prec@1 47.500 (47.334)	Prec@5 77.500 (77.813)
Epoch: [38][4140/9018]	Time 0.630 (0.625)	Data 0.001 (0.001)	Loss 2.1853 (2.0456)	Prec@1 44.000 (47.333)	Prec@5 72.500 (77.810)
Epoch: [38][4150/9018]	Time 0.621 (0.625)	Data 0.001 (0.001)	Loss 2.0088 (2.0457)	Prec@1 46.500 (47.332)	Prec@5 79.500 (77.811)
Epoch: [38][4160/9018]	Time 0.623 (0.625)	Data 0.001 (0.001)	Loss 2.2206 (2.0459)	Prec@1 44.000 (47.328)	Prec@5 75.000 (77.811)
Epoch: [38][4170/9018]	Time 0.630 (0.625)	Data 0.001 (0.001)	Loss 2.0085 (2.0460)	Prec@1 45.500 (47.325)	Prec@5 77.000 (77.808)
Epoch: [38][4180/9018]	Time 0.619 (0.625)	Data 0.001 (0.001)	Loss 1.8579 (2.0459)	Prec@1 52.500 (47.328)	Prec@5 80.000 (77.809)
Epoch: [38][4190/9018]	Time 0.628 (0.625)	Data 0.001 (0.001)	Loss 2.1464 (2.0459)	Prec@1 47.500 (47.328)	Prec@5 74.000 (77.810)
Epoch: [38][4200/9018]	Time 0.630 (0.625)	Data 0.001 (0.001)	Loss 2.2499 (2.0462)	Prec@1 44.500 (47.324)	Prec@5 75.000 (77.807)
Epoch: [38][4210/9018]	Time 0.617 (0.625)	Data 0.001 (0.001)	Loss 2.2496 (2.0463)	Prec@1 44.500 (47.322)	Prec@5 75.000 (77.805)
Epoch: [38][4220/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 1.9501 (2.0462)	Prec@1 46.000 (47.326)	Prec@5 78.500 (77.806)
Epoch: [38][4230/9018]	Time 0.626 (0.625)	Data 0.001 (0.001)	Loss 2.3345 (2.0463)	Prec@1 44.500 (47.325)	Prec@5 75.500 (77.806)
Epoch: [38][4240/9018]	Time 0.619 (0.625)	Data 0.001 (0.001)	Loss 1.9356 (2.0464)	Prec@1 56.000 (47.324)	Prec@5 80.000 (77.804)
Epoch: [38][4250/9018]	Time 0.733 (0.625)	Data 0.001 (0.001)	Loss 2.0939 (2.0464)	Prec@1 48.000 (47.325)	Prec@5 79.500 (77.806)
Epoch: [38][4260/9018]	Time 0.617 (0.625)	Data 0.001 (0.001)	Loss 1.9986 (2.0463)	Prec@1 48.000 (47.331)	Prec@5 80.000 (77.809)
Epoch: [38][4270/9018]	Time 1.703 (0.625)	Data 1.130 (0.002)	Loss 2.0249 (2.0462)	Prec@1 47.500 (47.333)	Prec@5 78.500 (77.812)
Epoch: [38][4280/9018]	Time 0.622 (0.625)	Data 0.001 (0.002)	Loss 1.9311 (2.0459)	Prec@1 51.500 (47.341)	Prec@5 82.000 (77.817)
Epoch: [38][4290/9018]	Time 0.613 (0.625)	Data 0.001 (0.002)	Loss 2.1646 (2.0459)	Prec@1 48.000 (47.342)	Prec@5 75.000 (77.818)
Epoch: [38][4300/9018]	Time 0.746 (0.625)	Data 0.001 (0.002)	Loss 2.0119 (2.0458)	Prec@1 50.500 (47.346)	Prec@5 77.000 (77.819)
Epoch: [38][4310/9018]	Time 0.621 (0.625)	Data 0.001 (0.002)	Loss 1.9058 (2.0456)	Prec@1 50.500 (47.347)	Prec@5 78.000 (77.820)
Epoch: [38][4320/9018]	Time 0.621 (0.625)	Data 0.001 (0.002)	Loss 2.2239 (2.0456)	Prec@1 44.000 (47.344)	Prec@5 75.000 (77.822)
Epoch: [38][4330/9018]	Time 0.621 (0.625)	Data 0.001 (0.002)	Loss 1.9268 (2.0456)	Prec@1 51.500 (47.345)	Prec@5 79.000 (77.822)
Epoch: [38][4340/9018]	Time 0.627 (0.625)	Data 0.001 (0.002)	Loss 2.0710 (2.0456)	Prec@1 49.000 (47.345)	Prec@5 78.000 (77.826)
Epoch: [38][4350/9018]	Time 0.634 (0.625)	Data 0.001 (0.002)	Loss 1.8853 (2.0455)	Prec@1 55.000 (47.350)	Prec@5 79.000 (77.826)
Epoch: [38][4360/9018]	Time 0.622 (0.625)	Data 0.001 (0.002)	Loss 2.1361 (2.0454)	Prec@1 44.500 (47.350)	Prec@5 76.000 (77.825)
Epoch: [38][4370/9018]	Time 0.617 (0.625)	Data 0.001 (0.002)	Loss 2.1648 (2.0455)	Prec@1 44.000 (47.346)	Prec@5 74.500 (77.824)
Epoch: [38][4380/9018]	Time 0.621 (0.625)	Data 0.001 (0.002)	Loss 2.0930 (2.0455)	Prec@1 45.000 (47.350)	Prec@5 75.500 (77.825)
Epoch: [38][4390/9018]	Time 0.624 (0.625)	Data 0.001 (0.002)	Loss 2.1072 (2.0454)	Prec@1 44.000 (47.349)	Prec@5 77.500 (77.824)
Epoch: [38][4400/9018]	Time 0.618 (0.625)	Data 0.001 (0.002)	Loss 1.9243 (2.0454)	Prec@1 45.500 (47.350)	Prec@5 81.500 (77.826)
Epoch: [38][4410/9018]	Time 0.619 (0.625)	Data 0.001 (0.002)	Loss 1.8680 (2.0455)	Prec@1 52.000 (47.352)	Prec@5 79.500 (77.825)
Epoch: [38][4420/9018]	Time 0.625 (0.625)	Data 0.001 (0.002)	Loss 2.0350 (2.0454)	Prec@1 45.500 (47.355)	Prec@5 78.000 (77.825)
Epoch: [38][4430/9018]	Time 0.621 (0.625)	Data 0.001 (0.002)	Loss 2.0565 (2.0451)	Prec@1 47.500 (47.361)	Prec@5 78.000 (77.829)
Epoch: [38][4440/9018]	Time 0.622 (0.625)	Data 0.001 (0.002)	Loss 1.9475 (2.0451)	Prec@1 53.500 (47.360)	Prec@5 78.500 (77.834)
Epoch: [38][4450/9018]	Time 0.625 (0.625)	Data 0.001 (0.002)	Loss 1.9604 (2.0449)	Prec@1 50.000 (47.366)	Prec@5 76.000 (77.836)
Epoch: [38][4460/9018]	Time 0.620 (0.625)	Data 0.001 (0.002)	Loss 2.0052 (2.0448)	Prec@1 52.500 (47.371)	Prec@5 79.000 (77.838)
Epoch: [38][4470/9018]	Time 0.621 (0.625)	Data 0.001 (0.002)	Loss 2.0051 (2.0448)	Prec@1 53.000 (47.371)	Prec@5 78.000 (77.839)
Epoch: [38][4480/9018]	Time 0.620 (0.625)	Data 0.001 (0.002)	Loss 2.0470 (2.0449)	Prec@1 48.500 (47.371)	Prec@5 81.000 (77.837)
Epoch: [38][4490/9018]	Time 0.624 (0.626)	Data 0.001 (0.002)	Loss 2.0069 (2.0450)	Prec@1 46.000 (47.370)	Prec@5 76.500 (77.836)
Epoch: [38][4500/9018]	Time 0.620 (0.626)	Data 0.001 (0.002)	Loss 1.8985 (2.0449)	Prec@1 48.000 (47.374)	Prec@5 80.000 (77.838)
Epoch: [38][4510/9018]	Time 0.621 (0.626)	Data 0.001 (0.002)	Loss 2.0761 (2.0450)	Prec@1 43.000 (47.369)	Prec@5 77.000 (77.836)
Epoch: [38][4520/9018]	Time 0.623 (0.626)	Data 0.001 (0.002)	Loss 2.2472 (2.0451)	Prec@1 43.000 (47.366)	Prec@5 75.500 (77.835)
Epoch: [38][4530/9018]	Time 0.619 (0.626)	Data 0.001 (0.002)	Loss 1.8678 (2.0451)	Prec@1 51.500 (47.364)	Prec@5 82.000 (77.835)
Epoch: [38][4540/9018]	Time 0.618 (0.626)	Data 0.001 (0.002)	Loss 1.8898 (2.0452)	Prec@1 50.000 (47.361)	Prec@5 82.500 (77.833)
Epoch: [38][4550/9018]	Time 0.625 (0.626)	Data 0.001 (0.002)	Loss 1.9794 (2.0452)	Prec@1 52.500 (47.362)	Prec@5 78.000 (77.833)
Epoch: [38][4560/9018]	Time 0.616 (0.626)	Data 0.001 (0.002)	Loss 2.2348 (2.0452)	Prec@1 50.500 (47.363)	Prec@5 77.000 (77.832)
Epoch: [38][4570/9018]	Time 0.618 (0.626)	Data 0.001 (0.002)	Loss 2.1800 (2.0452)	Prec@1 43.500 (47.364)	Prec@5 78.500 (77.833)
Epoch: [38][4580/9018]	Time 0.772 (0.626)	Data 0.001 (0.002)	Loss 1.9534 (2.0453)	Prec@1 53.000 (47.366)	Prec@5 81.000 (77.832)
Epoch: [38][4590/9018]	Time 0.622 (0.626)	Data 0.001 (0.002)	Loss 1.8525 (2.0452)	Prec@1 48.500 (47.366)	Prec@5 81.000 (77.834)
Epoch: [38][4600/9018]	Time 0.622 (0.626)	Data 0.001 (0.002)	Loss 2.1281 (2.0454)	Prec@1 49.000 (47.365)	Prec@5 76.000 (77.829)
Epoch: [38][4610/9018]	Time 0.620 (0.626)	Data 0.001 (0.002)	Loss 2.1768 (2.0454)	Prec@1 43.000 (47.364)	Prec@5 75.000 (77.830)
Epoch: [38][4620/9018]	Time 0.622 (0.626)	Data 0.001 (0.002)	Loss 2.0631 (2.0455)	Prec@1 46.000 (47.360)	Prec@5 72.500 (77.831)
Epoch: [38][4630/9018]	Time 0.741 (0.626)	Data 0.001 (0.002)	Loss 2.0265 (2.0455)	Prec@1 45.500 (47.361)	Prec@5 81.500 (77.832)
Epoch: [38][4640/9018]	Time 0.617 (0.626)	Data 0.001 (0.002)	Loss 2.0043 (2.0456)	Prec@1 47.000 (47.360)	Prec@5 78.500 (77.830)
Epoch: [38][4650/9018]	Time 0.615 (0.626)	Data 0.001 (0.002)	Loss 2.3415 (2.0458)	Prec@1 45.500 (47.358)	Prec@5 73.500 (77.829)
Epoch: [38][4660/9018]	Time 0.626 (0.626)	Data 0.001 (0.002)	Loss 2.1366 (2.0458)	Prec@1 46.000 (47.356)	Prec@5 79.500 (77.829)
Epoch: [38][4670/9018]	Time 0.625 (0.626)	Data 0.001 (0.002)	Loss 2.1435 (2.0459)	Prec@1 43.500 (47.356)	Prec@5 77.500 (77.829)
Epoch: [38][4680/9018]	Time 0.607 (0.626)	Data 0.001 (0.002)	Loss 2.2519 (2.0459)	Prec@1 43.500 (47.357)	Prec@5 73.500 (77.827)
Epoch: [38][4690/9018]	Time 0.619 (0.626)	Data 0.001 (0.002)	Loss 1.9428 (2.0459)	Prec@1 53.500 (47.360)	Prec@5 79.000 (77.828)
Epoch: [38][4700/9018]	Time 0.628 (0.626)	Data 0.001 (0.002)	Loss 2.2462 (2.0458)	Prec@1 43.500 (47.361)	Prec@5 75.000 (77.829)
Epoch: [38][4710/9018]	Time 0.621 (0.626)	Data 0.001 (0.002)	Loss 1.9628 (2.0460)	Prec@1 47.500 (47.357)	Prec@5 78.500 (77.827)
Epoch: [38][4720/9018]	Time 0.603 (0.626)	Data 0.001 (0.002)	Loss 2.0152 (2.0461)	Prec@1 48.500 (47.356)	Prec@5 78.500 (77.826)
Epoch: [38][4730/9018]	Time 0.618 (0.626)	Data 0.001 (0.002)	Loss 2.0191 (2.0461)	Prec@1 43.000 (47.353)	Prec@5 81.500 (77.827)
Epoch: [38][4740/9018]	Time 0.629 (0.626)	Data 0.001 (0.002)	Loss 2.1286 (2.0462)	Prec@1 45.000 (47.351)	Prec@5 77.500 (77.826)
Epoch: [38][4750/9018]	Time 0.619 (0.626)	Data 0.001 (0.002)	Loss 1.9546 (2.0462)	Prec@1 47.000 (47.350)	Prec@5 81.500 (77.827)
Epoch: [38][4760/9018]	Time 0.619 (0.626)	Data 0.001 (0.002)	Loss 2.1649 (2.0462)	Prec@1 46.500 (47.351)	Prec@5 76.000 (77.827)
Epoch: [38][4770/9018]	Time 0.621 (0.626)	Data 0.001 (0.002)	Loss 1.9747 (2.0463)	Prec@1 49.000 (47.351)	Prec@5 78.500 (77.825)
Epoch: [38][4780/9018]	Time 0.631 (0.626)	Data 0.001 (0.002)	Loss 1.9956 (2.0464)	Prec@1 47.500 (47.350)	Prec@5 77.000 (77.823)
Epoch: [38][4790/9018]	Time 0.626 (0.626)	Data 0.001 (0.002)	Loss 1.9328 (2.0464)	Prec@1 45.500 (47.349)	Prec@5 78.500 (77.822)
Epoch: [38][4800/9018]	Time 0.625 (0.626)	Data 0.001 (0.002)	Loss 1.9686 (2.0464)	Prec@1 55.000 (47.349)	Prec@5 75.500 (77.822)
Epoch: [38][4810/9018]	Time 0.610 (0.626)	Data 0.001 (0.002)	Loss 2.0944 (2.0465)	Prec@1 42.000 (47.345)	Prec@5 77.000 (77.821)
Epoch: [38][4820/9018]	Time 0.627 (0.626)	Data 0.003 (0.002)	Loss 2.2158 (2.0463)	Prec@1 44.500 (47.350)	Prec@5 75.000 (77.824)
Epoch: [38][4830/9018]	Time 0.625 (0.626)	Data 0.001 (0.002)	Loss 2.2481 (2.0463)	Prec@1 41.500 (47.347)	Prec@5 73.500 (77.820)
Epoch: [38][4840/9018]	Time 0.618 (0.626)	Data 0.001 (0.002)	Loss 1.8604 (2.0463)	Prec@1 52.000 (47.348)	Prec@5 79.000 (77.820)
Epoch: [38][4850/9018]	Time 0.623 (0.626)	Data 0.001 (0.002)	Loss 1.9470 (2.0464)	Prec@1 48.500 (47.345)	Prec@5 79.000 (77.819)
Epoch: [38][4860/9018]	Time 0.616 (0.626)	Data 0.001 (0.002)	Loss 2.0379 (2.0463)	Prec@1 48.000 (47.344)	Prec@5 77.000 (77.820)
Epoch: [38][4870/9018]	Time 0.623 (0.626)	Data 0.001 (0.002)	Loss 1.9702 (2.0463)	Prec@1 47.500 (47.342)	Prec@5 78.500 (77.821)
Epoch: [38][4880/9018]	Time 0.622 (0.626)	Data 0.001 (0.002)	Loss 2.0046 (2.0463)	Prec@1 47.000 (47.343)	Prec@5 79.000 (77.821)
Epoch: [38][4890/9018]	Time 0.625 (0.626)	Data 0.001 (0.002)	Loss 1.9272 (2.0461)	Prec@1 53.000 (47.349)	Prec@5 80.000 (77.825)
Epoch: [38][4900/9018]	Time 0.620 (0.626)	Data 0.001 (0.002)	Loss 2.1756 (2.0461)	Prec@1 51.000 (47.350)	Prec@5 71.000 (77.821)
Epoch: [38][4910/9018]	Time 0.932 (0.626)	Data 0.252 (0.002)	Loss 2.0862 (2.0460)	Prec@1 47.500 (47.351)	Prec@5 78.500 (77.824)
Epoch: [38][4920/9018]	Time 0.627 (0.626)	Data 0.001 (0.002)	Loss 1.9268 (2.0459)	Prec@1 48.500 (47.351)	Prec@5 80.000 (77.825)
Epoch: [38][4930/9018]	Time 0.619 (0.626)	Data 0.001 (0.002)	Loss 2.0176 (2.0460)	Prec@1 44.000 (47.349)	Prec@5 80.000 (77.824)
Epoch: [38][4940/9018]	Time 0.618 (0.626)	Data 0.001 (0.002)	Loss 2.0418 (2.0460)	Prec@1 45.500 (47.344)	Prec@5 77.000 (77.823)
Epoch: [38][4950/9018]	Time 0.617 (0.626)	Data 0.001 (0.002)	Loss 1.8272 (2.0462)	Prec@1 54.000 (47.341)	Prec@5 84.500 (77.819)
Epoch: [38][4960/9018]	Time 0.753 (0.626)	Data 0.001 (0.002)	Loss 1.9659 (2.0463)	Prec@1 50.500 (47.338)	Prec@5 80.500 (77.819)
Epoch: [38][4970/9018]	Time 0.627 (0.626)	Data 0.001 (0.002)	Loss 2.0497 (2.0464)	Prec@1 47.500 (47.336)	Prec@5 79.500 (77.819)
Epoch: [38][4980/9018]	Time 0.619 (0.626)	Data 0.001 (0.002)	Loss 1.9607 (2.0463)	Prec@1 51.000 (47.340)	Prec@5 74.500 (77.818)
Epoch: [38][4990/9018]	Time 0.637 (0.626)	Data 0.001 (0.002)	Loss 2.0267 (2.0463)	Prec@1 50.000 (47.337)	Prec@5 76.000 (77.817)
Epoch: [38][5000/9018]	Time 0.621 (0.626)	Data 0.001 (0.002)	Loss 1.8903 (2.0463)	Prec@1 55.000 (47.339)	Prec@5 84.000 (77.818)
Epoch: [38][5010/9018]	Time 0.612 (0.626)	Data 0.001 (0.002)	Loss 2.1250 (2.0465)	Prec@1 44.000 (47.336)	Prec@5 77.000 (77.816)
Epoch: [38][5020/9018]	Time 0.616 (0.626)	Data 0.001 (0.002)	Loss 1.9163 (2.0465)	Prec@1 49.000 (47.334)	Prec@5 80.500 (77.815)
Epoch: [38][5030/9018]	Time 0.615 (0.626)	Data 0.001 (0.002)	Loss 1.9590 (2.0465)	Prec@1 54.000 (47.333)	Prec@5 78.500 (77.816)
Epoch: [38][5040/9018]	Time 0.612 (0.626)	Data 0.001 (0.002)	Loss 2.0882 (2.0466)	Prec@1 47.000 (47.333)	Prec@5 75.000 (77.814)
Epoch: [38][5050/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.7235 (2.0466)	Prec@1 52.500 (47.332)	Prec@5 86.500 (77.815)
Epoch: [38][5060/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.9158 (2.0466)	Prec@1 53.500 (47.331)	Prec@5 78.500 (77.816)
Epoch: [38][5070/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 1.9151 (2.0465)	Prec@1 49.000 (47.333)	Prec@5 77.000 (77.818)
Epoch: [38][5080/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.2927 (2.0465)	Prec@1 40.500 (47.333)	Prec@5 75.500 (77.819)
Epoch: [38][5090/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.1532 (2.0465)	Prec@1 47.500 (47.329)	Prec@5 77.500 (77.820)
Epoch: [38][5100/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 2.0159 (2.0465)	Prec@1 48.500 (47.329)	Prec@5 77.500 (77.819)
Epoch: [38][5110/9018]	Time 0.632 (0.626)	Data 0.001 (0.003)	Loss 2.1232 (2.0467)	Prec@1 45.500 (47.329)	Prec@5 73.000 (77.816)
Epoch: [38][5120/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 2.0771 (2.0467)	Prec@1 48.500 (47.330)	Prec@5 77.000 (77.817)
Epoch: [38][5130/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.1263 (2.0468)	Prec@1 40.000 (47.329)	Prec@5 78.000 (77.815)
Epoch: [38][5140/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.0768 (2.0469)	Prec@1 43.500 (47.328)	Prec@5 76.500 (77.812)
Epoch: [38][5150/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.9040 (2.0469)	Prec@1 51.500 (47.327)	Prec@5 82.500 (77.814)
Epoch: [38][5160/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.1888 (2.0469)	Prec@1 42.500 (47.327)	Prec@5 74.000 (77.814)
Epoch: [38][5170/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.9502 (2.0470)	Prec@1 47.500 (47.325)	Prec@5 80.500 (77.812)
Epoch: [38][5180/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.9818 (2.0468)	Prec@1 47.500 (47.327)	Prec@5 78.500 (77.812)
Epoch: [38][5190/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 1.9695 (2.0469)	Prec@1 49.000 (47.327)	Prec@5 80.000 (77.811)
Epoch: [38][5200/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 2.1156 (2.0467)	Prec@1 45.500 (47.334)	Prec@5 82.000 (77.815)
Epoch: [38][5210/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.0271 (2.0468)	Prec@1 47.500 (47.336)	Prec@5 81.000 (77.815)
Epoch: [38][5220/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 2.0232 (2.0467)	Prec@1 46.500 (47.338)	Prec@5 79.500 (77.819)
Epoch: [38][5230/9018]	Time 0.625 (0.626)	Data 0.001 (0.002)	Loss 2.1864 (2.0467)	Prec@1 42.500 (47.337)	Prec@5 76.000 (77.818)
Epoch: [38][5240/9018]	Time 0.755 (0.626)	Data 0.001 (0.002)	Loss 2.0606 (2.0466)	Prec@1 50.500 (47.340)	Prec@5 77.500 (77.820)
Epoch: [38][5250/9018]	Time 0.624 (0.626)	Data 0.001 (0.002)	Loss 2.2185 (2.0467)	Prec@1 38.000 (47.337)	Prec@5 74.000 (77.818)
Epoch: [38][5260/9018]	Time 0.627 (0.627)	Data 0.001 (0.002)	Loss 2.0863 (2.0465)	Prec@1 47.000 (47.341)	Prec@5 78.000 (77.822)
Epoch: [38][5270/9018]	Time 0.638 (0.626)	Data 0.001 (0.002)	Loss 2.0589 (2.0466)	Prec@1 49.500 (47.338)	Prec@5 77.000 (77.820)
Epoch: [38][5280/9018]	Time 0.623 (0.627)	Data 0.001 (0.002)	Loss 2.1063 (2.0466)	Prec@1 46.500 (47.340)	Prec@5 76.000 (77.822)
Epoch: [38][5290/9018]	Time 0.762 (0.627)	Data 0.001 (0.002)	Loss 1.9876 (2.0466)	Prec@1 48.500 (47.339)	Prec@5 80.000 (77.821)
Epoch: [38][5300/9018]	Time 0.619 (0.627)	Data 0.001 (0.002)	Loss 2.3312 (2.0467)	Prec@1 46.500 (47.340)	Prec@5 71.000 (77.819)
Epoch: [38][5310/9018]	Time 0.634 (0.627)	Data 0.001 (0.002)	Loss 1.9347 (2.0467)	Prec@1 47.000 (47.337)	Prec@5 80.500 (77.819)
Epoch: [38][5320/9018]	Time 0.627 (0.627)	Data 0.001 (0.002)	Loss 2.1100 (2.0468)	Prec@1 46.000 (47.336)	Prec@5 75.500 (77.817)
Epoch: [38][5330/9018]	Time 0.626 (0.627)	Data 0.001 (0.002)	Loss 1.8145 (2.0467)	Prec@1 50.500 (47.336)	Prec@5 83.000 (77.818)
Epoch: [38][5340/9018]	Time 0.630 (0.627)	Data 0.001 (0.002)	Loss 2.2249 (2.0468)	Prec@1 44.000 (47.333)	Prec@5 72.500 (77.816)
Epoch: [38][5350/9018]	Time 0.627 (0.627)	Data 0.001 (0.002)	Loss 2.3657 (2.0468)	Prec@1 37.500 (47.332)	Prec@5 72.500 (77.816)
Epoch: [38][5360/9018]	Time 0.646 (0.627)	Data 0.001 (0.002)	Loss 1.8919 (2.0468)	Prec@1 48.500 (47.334)	Prec@5 81.000 (77.816)
Epoch: [38][5370/9018]	Time 0.611 (0.627)	Data 0.001 (0.002)	Loss 2.0168 (2.0468)	Prec@1 49.000 (47.333)	Prec@5 79.500 (77.816)
Epoch: [38][5380/9018]	Time 0.620 (0.627)	Data 0.001 (0.002)	Loss 2.0825 (2.0468)	Prec@1 51.500 (47.334)	Prec@5 74.500 (77.817)
Epoch: [38][5390/9018]	Time 0.608 (0.627)	Data 0.001 (0.002)	Loss 2.3035 (2.0468)	Prec@1 39.500 (47.333)	Prec@5 74.000 (77.817)
Epoch: [38][5400/9018]	Time 0.618 (0.627)	Data 0.001 (0.002)	Loss 1.9207 (2.0468)	Prec@1 51.500 (47.333)	Prec@5 81.000 (77.819)
Epoch: [38][5410/9018]	Time 0.628 (0.627)	Data 0.001 (0.002)	Loss 2.1180 (2.0468)	Prec@1 44.000 (47.333)	Prec@5 75.500 (77.818)
Epoch: [38][5420/9018]	Time 0.621 (0.627)	Data 0.001 (0.002)	Loss 2.0840 (2.0470)	Prec@1 45.500 (47.329)	Prec@5 79.000 (77.813)
Epoch: [38][5430/9018]	Time 0.613 (0.627)	Data 0.001 (0.002)	Loss 2.0447 (2.0469)	Prec@1 47.500 (47.329)	Prec@5 79.000 (77.814)
Epoch: [38][5440/9018]	Time 0.624 (0.627)	Data 0.001 (0.002)	Loss 1.9286 (2.0470)	Prec@1 49.000 (47.329)	Prec@5 78.500 (77.814)
Epoch: [38][5450/9018]	Time 0.615 (0.627)	Data 0.001 (0.002)	Loss 2.0151 (2.0471)	Prec@1 45.000 (47.325)	Prec@5 79.000 (77.810)
Epoch: [38][5460/9018]	Time 0.622 (0.627)	Data 0.001 (0.002)	Loss 2.2270 (2.0471)	Prec@1 45.500 (47.327)	Prec@5 73.500 (77.811)
Epoch: [38][5470/9018]	Time 0.622 (0.627)	Data 0.001 (0.002)	Loss 2.0175 (2.0471)	Prec@1 45.500 (47.326)	Prec@5 78.000 (77.812)
Epoch: [38][5480/9018]	Time 0.625 (0.627)	Data 0.001 (0.002)	Loss 2.1684 (2.0471)	Prec@1 48.000 (47.325)	Prec@5 77.000 (77.811)
Epoch: [38][5490/9018]	Time 0.611 (0.627)	Data 0.001 (0.002)	Loss 1.9940 (2.0472)	Prec@1 48.500 (47.324)	Prec@5 81.000 (77.812)
Epoch: [38][5500/9018]	Time 0.617 (0.627)	Data 0.001 (0.002)	Loss 1.8882 (2.0472)	Prec@1 48.500 (47.323)	Prec@5 81.500 (77.812)
Epoch: [38][5510/9018]	Time 0.628 (0.627)	Data 0.001 (0.002)	Loss 2.1858 (2.0474)	Prec@1 45.000 (47.323)	Prec@5 74.500 (77.808)
Epoch: [38][5520/9018]	Time 0.616 (0.627)	Data 0.001 (0.002)	Loss 2.2705 (2.0474)	Prec@1 42.000 (47.321)	Prec@5 73.500 (77.807)
Epoch: [38][5530/9018]	Time 0.619 (0.627)	Data 0.001 (0.002)	Loss 2.0532 (2.0475)	Prec@1 45.000 (47.317)	Prec@5 79.500 (77.806)
Epoch: [38][5540/9018]	Time 0.625 (0.627)	Data 0.001 (0.002)	Loss 2.2291 (2.0476)	Prec@1 46.500 (47.317)	Prec@5 69.500 (77.807)
Epoch: [38][5550/9018]	Time 0.618 (0.627)	Data 0.001 (0.002)	Loss 2.1806 (2.0476)	Prec@1 45.000 (47.314)	Prec@5 77.000 (77.807)
Epoch: [38][5560/9018]	Time 0.620 (0.627)	Data 0.001 (0.002)	Loss 2.0611 (2.0477)	Prec@1 48.500 (47.311)	Prec@5 78.000 (77.805)
Epoch: [38][5570/9018]	Time 0.749 (0.627)	Data 0.001 (0.002)	Loss 2.1337 (2.0478)	Prec@1 47.500 (47.312)	Prec@5 73.000 (77.804)
Epoch: [38][5580/9018]	Time 0.608 (0.627)	Data 0.001 (0.002)	Loss 2.1208 (2.0479)	Prec@1 46.000 (47.311)	Prec@5 75.500 (77.800)
Epoch: [38][5590/9018]	Time 0.620 (0.627)	Data 0.001 (0.002)	Loss 2.0115 (2.0479)	Prec@1 49.500 (47.312)	Prec@5 79.500 (77.801)
Epoch: [38][5600/9018]	Time 0.619 (0.627)	Data 0.001 (0.002)	Loss 2.0092 (2.0479)	Prec@1 47.000 (47.311)	Prec@5 80.000 (77.800)
Epoch: [38][5610/9018]	Time 0.624 (0.627)	Data 0.001 (0.002)	Loss 2.3236 (2.0479)	Prec@1 43.500 (47.311)	Prec@5 67.000 (77.798)
Epoch: [38][5620/9018]	Time 0.739 (0.627)	Data 0.001 (0.002)	Loss 2.1873 (2.0480)	Prec@1 44.500 (47.312)	Prec@5 76.000 (77.798)
Epoch: [38][5630/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 2.1551 (2.0480)	Prec@1 44.500 (47.310)	Prec@5 78.500 (77.796)
Epoch: [38][5640/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 1.9755 (2.0480)	Prec@1 49.500 (47.311)	Prec@5 76.500 (77.796)
Epoch: [38][5650/9018]	Time 0.616 (0.627)	Data 0.001 (0.003)	Loss 2.0275 (2.0481)	Prec@1 49.500 (47.305)	Prec@5 76.500 (77.794)
Epoch: [38][5660/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 1.7561 (2.0481)	Prec@1 57.000 (47.306)	Prec@5 82.000 (77.794)
Epoch: [38][5670/9018]	Time 0.613 (0.627)	Data 0.001 (0.003)	Loss 1.8196 (2.0481)	Prec@1 55.500 (47.306)	Prec@5 81.500 (77.795)
Epoch: [38][5680/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 2.2639 (2.0481)	Prec@1 45.500 (47.302)	Prec@5 72.500 (77.796)
Epoch: [38][5690/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 1.9614 (2.0482)	Prec@1 46.500 (47.300)	Prec@5 79.500 (77.793)
Epoch: [38][5700/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 2.1842 (2.0483)	Prec@1 48.000 (47.300)	Prec@5 75.500 (77.790)
Epoch: [38][5710/9018]	Time 0.609 (0.627)	Data 0.001 (0.003)	Loss 1.8029 (2.0483)	Prec@1 55.500 (47.301)	Prec@5 80.500 (77.790)
Epoch: [38][5720/9018]	Time 0.611 (0.627)	Data 0.001 (0.003)	Loss 1.9620 (2.0483)	Prec@1 47.500 (47.300)	Prec@5 81.000 (77.790)
Epoch: [38][5730/9018]	Time 0.630 (0.627)	Data 0.001 (0.003)	Loss 2.0453 (2.0483)	Prec@1 44.500 (47.298)	Prec@5 76.500 (77.790)
Epoch: [38][5740/9018]	Time 0.612 (0.627)	Data 0.001 (0.003)	Loss 2.1421 (2.0483)	Prec@1 42.000 (47.300)	Prec@5 77.500 (77.790)
Epoch: [38][5750/9018]	Time 0.625 (0.627)	Data 0.001 (0.003)	Loss 2.3036 (2.0483)	Prec@1 45.500 (47.298)	Prec@5 74.000 (77.790)
Epoch: [38][5760/9018]	Time 0.628 (0.627)	Data 0.001 (0.003)	Loss 1.7779 (2.0482)	Prec@1 55.500 (47.304)	Prec@5 83.000 (77.792)
Epoch: [38][5770/9018]	Time 0.628 (0.627)	Data 0.001 (0.003)	Loss 2.0072 (2.0482)	Prec@1 47.500 (47.303)	Prec@5 79.000 (77.792)
Epoch: [38][5780/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 2.0673 (2.0483)	Prec@1 49.500 (47.303)	Prec@5 76.000 (77.791)
Epoch: [38][5790/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 2.2097 (2.0483)	Prec@1 44.500 (47.303)	Prec@5 78.000 (77.791)
Epoch: [38][5800/9018]	Time 0.646 (0.627)	Data 0.001 (0.003)	Loss 2.0088 (2.0482)	Prec@1 47.000 (47.304)	Prec@5 79.000 (77.791)
Epoch: [38][5810/9018]	Time 0.632 (0.627)	Data 0.001 (0.003)	Loss 2.1104 (2.0482)	Prec@1 46.000 (47.305)	Prec@5 77.500 (77.793)
Epoch: [38][5820/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.1913 (2.0482)	Prec@1 46.500 (47.305)	Prec@5 73.000 (77.793)
Epoch: [38][5830/9018]	Time 0.618 (0.627)	Data 0.001 (0.003)	Loss 2.0429 (2.0482)	Prec@1 49.500 (47.304)	Prec@5 77.000 (77.792)
Epoch: [38][5840/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.1263 (2.0482)	Prec@1 47.500 (47.304)	Prec@5 76.500 (77.791)
Epoch: [38][5850/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 1.7855 (2.0481)	Prec@1 52.000 (47.306)	Prec@5 79.500 (77.790)
Epoch: [38][5860/9018]	Time 0.618 (0.627)	Data 0.001 (0.003)	Loss 2.0739 (2.0481)	Prec@1 48.000 (47.305)	Prec@5 77.000 (77.791)
Epoch: [38][5870/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 1.9682 (2.0480)	Prec@1 47.500 (47.306)	Prec@5 78.500 (77.792)
Epoch: [38][5880/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.1665 (2.0481)	Prec@1 44.500 (47.306)	Prec@5 75.500 (77.790)
Epoch: [38][5890/9018]	Time 0.628 (0.627)	Data 0.001 (0.003)	Loss 2.0427 (2.0481)	Prec@1 53.500 (47.306)	Prec@5 75.500 (77.791)
Epoch: [38][5900/9018]	Time 0.730 (0.627)	Data 0.001 (0.003)	Loss 1.9038 (2.0481)	Prec@1 45.500 (47.303)	Prec@5 84.000 (77.790)
Epoch: [38][5910/9018]	Time 0.632 (0.627)	Data 0.001 (0.003)	Loss 1.9304 (2.0481)	Prec@1 51.000 (47.302)	Prec@5 79.500 (77.789)
Epoch: [38][5920/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 1.8680 (2.0482)	Prec@1 52.500 (47.299)	Prec@5 81.500 (77.786)
Epoch: [38][5930/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 2.1693 (2.0481)	Prec@1 48.000 (47.299)	Prec@5 73.500 (77.787)
Epoch: [38][5940/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 1.9645 (2.0482)	Prec@1 54.500 (47.301)	Prec@5 78.000 (77.787)
Epoch: [38][5950/9018]	Time 0.740 (0.627)	Data 0.001 (0.003)	Loss 1.8245 (2.0480)	Prec@1 47.000 (47.305)	Prec@5 84.500 (77.789)
Epoch: [38][5960/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 1.8517 (2.0481)	Prec@1 51.000 (47.304)	Prec@5 84.500 (77.788)
Epoch: [38][5970/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 2.0242 (2.0481)	Prec@1 49.500 (47.304)	Prec@5 78.000 (77.790)
Epoch: [38][5980/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 2.0690 (2.0480)	Prec@1 50.000 (47.306)	Prec@5 74.500 (77.791)
Epoch: [38][5990/9018]	Time 0.618 (0.627)	Data 0.001 (0.003)	Loss 1.8830 (2.0478)	Prec@1 52.500 (47.310)	Prec@5 81.500 (77.795)
Epoch: [38][6000/9018]	Time 0.609 (0.627)	Data 0.001 (0.003)	Loss 1.9934 (2.0478)	Prec@1 45.500 (47.309)	Prec@5 81.000 (77.796)
Epoch: [38][6010/9018]	Time 0.616 (0.627)	Data 0.001 (0.003)	Loss 2.0410 (2.0479)	Prec@1 42.500 (47.306)	Prec@5 76.000 (77.793)
Epoch: [38][6020/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 2.1662 (2.0480)	Prec@1 48.000 (47.304)	Prec@5 77.000 (77.792)
Epoch: [38][6030/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 2.1230 (2.0481)	Prec@1 44.000 (47.302)	Prec@5 76.000 (77.792)
Epoch: [38][6040/9018]	Time 0.618 (0.627)	Data 0.001 (0.003)	Loss 2.2219 (2.0480)	Prec@1 45.000 (47.301)	Prec@5 72.500 (77.794)
Epoch: [38][6050/9018]	Time 0.611 (0.627)	Data 0.001 (0.003)	Loss 1.8516 (2.0480)	Prec@1 52.000 (47.300)	Prec@5 82.000 (77.796)
Epoch: [38][6060/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 2.0799 (2.0480)	Prec@1 45.500 (47.299)	Prec@5 76.500 (77.796)
Epoch: [38][6070/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 1.9961 (2.0480)	Prec@1 49.000 (47.301)	Prec@5 78.500 (77.796)
Epoch: [38][6080/9018]	Time 0.625 (0.627)	Data 0.001 (0.003)	Loss 2.0753 (2.0480)	Prec@1 48.500 (47.300)	Prec@5 74.000 (77.795)
Epoch: [38][6090/9018]	Time 0.641 (0.628)	Data 0.001 (0.003)	Loss 1.9218 (2.0480)	Prec@1 49.500 (47.300)	Prec@5 77.500 (77.796)
Epoch: [38][6100/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 1.9287 (2.0481)	Prec@1 49.000 (47.298)	Prec@5 80.500 (77.795)
Epoch: [38][6110/9018]	Time 0.643 (0.627)	Data 0.001 (0.003)	Loss 2.0050 (2.0480)	Prec@1 48.000 (47.301)	Prec@5 78.500 (77.797)
Epoch: [38][6120/9018]	Time 0.614 (0.628)	Data 0.001 (0.003)	Loss 1.9730 (2.0481)	Prec@1 47.500 (47.300)	Prec@5 77.500 (77.796)
Epoch: [38][6130/9018]	Time 0.620 (0.627)	Data 0.001 (0.003)	Loss 2.1074 (2.0481)	Prec@1 43.000 (47.297)	Prec@5 76.500 (77.794)
Epoch: [38][6140/9018]	Time 0.625 (0.628)	Data 0.001 (0.003)	Loss 1.8817 (2.0482)	Prec@1 54.000 (47.295)	Prec@5 81.000 (77.793)
Epoch: [38][6150/9018]	Time 0.624 (0.628)	Data 0.001 (0.003)	Loss 2.0256 (2.0481)	Prec@1 47.500 (47.296)	Prec@5 77.500 (77.796)
Epoch: [38][6160/9018]	Time 0.621 (0.628)	Data 0.001 (0.003)	Loss 2.0319 (2.0482)	Prec@1 45.500 (47.293)	Prec@5 79.500 (77.793)
Epoch: [38][6170/9018]	Time 0.625 (0.628)	Data 0.001 (0.003)	Loss 2.2264 (2.0482)	Prec@1 42.500 (47.293)	Prec@5 70.500 (77.791)
Epoch: [38][6180/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 1.9107 (2.0482)	Prec@1 51.500 (47.293)	Prec@5 79.500 (77.793)
Epoch: [38][6190/9018]	Time 0.625 (0.628)	Data 0.001 (0.003)	Loss 2.0625 (2.0482)	Prec@1 47.500 (47.296)	Prec@5 80.000 (77.793)
Epoch: [38][6200/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 2.0488 (2.0482)	Prec@1 48.500 (47.295)	Prec@5 75.000 (77.794)
Epoch: [38][6210/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 2.0776 (2.0482)	Prec@1 48.000 (47.294)	Prec@5 76.500 (77.792)
Epoch: [38][6220/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 1.8959 (2.0482)	Prec@1 52.500 (47.295)	Prec@5 81.500 (77.792)
Epoch: [38][6230/9018]	Time 0.780 (0.628)	Data 0.001 (0.003)	Loss 2.0288 (2.0481)	Prec@1 47.000 (47.297)	Prec@5 78.500 (77.794)
Epoch: [38][6240/9018]	Time 0.622 (0.628)	Data 0.001 (0.003)	Loss 1.9613 (2.0480)	Prec@1 49.000 (47.299)	Prec@5 79.000 (77.798)
Epoch: [38][6250/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 1.9880 (2.0480)	Prec@1 42.000 (47.300)	Prec@5 81.500 (77.797)
Epoch: [38][6260/9018]	Time 0.625 (0.628)	Data 0.001 (0.003)	Loss 1.8698 (2.0480)	Prec@1 48.500 (47.301)	Prec@5 79.000 (77.797)
Epoch: [38][6270/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 1.9576 (2.0480)	Prec@1 51.000 (47.303)	Prec@5 76.500 (77.797)
Epoch: [38][6280/9018]	Time 0.746 (0.628)	Data 0.001 (0.003)	Loss 1.9803 (2.0480)	Prec@1 47.000 (47.303)	Prec@5 78.000 (77.797)
Epoch: [38][6290/9018]	Time 0.621 (0.628)	Data 0.001 (0.003)	Loss 1.9563 (2.0481)	Prec@1 49.000 (47.301)	Prec@5 81.000 (77.795)
Epoch: [38][6300/9018]	Time 0.612 (0.628)	Data 0.001 (0.003)	Loss 2.1960 (2.0482)	Prec@1 47.500 (47.300)	Prec@5 72.000 (77.792)
Epoch: [38][6310/9018]	Time 0.624 (0.628)	Data 0.001 (0.003)	Loss 2.0791 (2.0482)	Prec@1 47.500 (47.298)	Prec@5 79.000 (77.793)
Epoch: [38][6320/9018]	Time 0.606 (0.628)	Data 0.001 (0.003)	Loss 2.0828 (2.0483)	Prec@1 46.000 (47.296)	Prec@5 78.500 (77.794)
Epoch: [38][6330/9018]	Time 0.614 (0.628)	Data 0.001 (0.003)	Loss 2.0041 (2.0483)	Prec@1 50.500 (47.296)	Prec@5 80.500 (77.792)
Epoch: [38][6340/9018]	Time 0.625 (0.628)	Data 0.001 (0.003)	Loss 1.9022 (2.0483)	Prec@1 50.500 (47.295)	Prec@5 81.500 (77.793)
Epoch: [38][6350/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 2.2012 (2.0483)	Prec@1 44.000 (47.296)	Prec@5 72.000 (77.794)
Epoch: [38][6360/9018]	Time 0.622 (0.628)	Data 0.001 (0.003)	Loss 2.1664 (2.0484)	Prec@1 45.000 (47.293)	Prec@5 72.000 (77.791)
Epoch: [38][6370/9018]	Time 0.622 (0.628)	Data 0.001 (0.003)	Loss 1.8987 (2.0484)	Prec@1 51.500 (47.296)	Prec@5 78.500 (77.790)
Epoch: [38][6380/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 1.9851 (2.0484)	Prec@1 46.500 (47.294)	Prec@5 79.500 (77.789)
Epoch: [38][6390/9018]	Time 0.646 (0.628)	Data 0.072 (0.003)	Loss 2.1970 (2.0485)	Prec@1 49.000 (47.294)	Prec@5 76.000 (77.789)
Epoch: [38][6400/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 1.8162 (2.0484)	Prec@1 55.000 (47.293)	Prec@5 82.500 (77.790)
Epoch: [38][6410/9018]	Time 0.621 (0.628)	Data 0.001 (0.003)	Loss 2.0473 (2.0484)	Prec@1 45.000 (47.292)	Prec@5 76.500 (77.791)
Epoch: [38][6420/9018]	Time 0.621 (0.628)	Data 0.001 (0.003)	Loss 2.0902 (2.0484)	Prec@1 47.500 (47.293)	Prec@5 77.500 (77.792)
Epoch: [38][6430/9018]	Time 0.631 (0.628)	Data 0.001 (0.003)	Loss 2.0168 (2.0483)	Prec@1 49.500 (47.294)	Prec@5 74.000 (77.791)
Epoch: [38][6440/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 1.9691 (2.0484)	Prec@1 48.000 (47.294)	Prec@5 78.000 (77.790)
Epoch: [38][6450/9018]	Time 0.626 (0.628)	Data 0.001 (0.003)	Loss 2.1386 (2.0484)	Prec@1 39.500 (47.292)	Prec@5 77.000 (77.789)
Epoch: [38][6460/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 1.8884 (2.0484)	Prec@1 50.000 (47.293)	Prec@5 80.000 (77.789)
Epoch: [38][6470/9018]	Time 0.626 (0.628)	Data 0.001 (0.003)	Loss 2.1150 (2.0486)	Prec@1 45.500 (47.292)	Prec@5 77.500 (77.786)
Epoch: [38][6480/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 1.9328 (2.0485)	Prec@1 51.000 (47.294)	Prec@5 78.000 (77.787)
Epoch: [38][6490/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 1.8281 (2.0484)	Prec@1 52.000 (47.295)	Prec@5 82.000 (77.789)
Epoch: [38][6500/9018]	Time 0.626 (0.628)	Data 0.001 (0.003)	Loss 1.9590 (2.0484)	Prec@1 46.500 (47.296)	Prec@5 79.000 (77.789)
Epoch: [38][6510/9018]	Time 0.626 (0.628)	Data 0.001 (0.003)	Loss 1.7864 (2.0482)	Prec@1 54.500 (47.297)	Prec@5 80.000 (77.793)
Epoch: [38][6520/9018]	Time 0.622 (0.628)	Data 0.001 (0.003)	Loss 2.0096 (2.0483)	Prec@1 52.500 (47.298)	Prec@5 75.000 (77.793)
Epoch: [38][6530/9018]	Time 0.609 (0.628)	Data 0.001 (0.003)	Loss 2.0203 (2.0483)	Prec@1 48.500 (47.297)	Prec@5 77.000 (77.793)
Epoch: [38][6540/9018]	Time 0.615 (0.628)	Data 0.001 (0.003)	Loss 1.9387 (2.0484)	Prec@1 49.000 (47.294)	Prec@5 77.000 (77.793)
Epoch: [38][6550/9018]	Time 0.633 (0.628)	Data 0.001 (0.003)	Loss 2.1371 (2.0484)	Prec@1 42.000 (47.292)	Prec@5 74.500 (77.791)
Epoch: [38][6560/9018]	Time 0.753 (0.628)	Data 0.001 (0.003)	Loss 2.0839 (2.0485)	Prec@1 46.500 (47.291)	Prec@5 76.000 (77.791)
Epoch: [38][6570/9018]	Time 0.621 (0.628)	Data 0.001 (0.003)	Loss 2.1109 (2.0486)	Prec@1 46.500 (47.288)	Prec@5 75.000 (77.789)
Epoch: [38][6580/9018]	Time 0.612 (0.628)	Data 0.001 (0.003)	Loss 2.1833 (2.0485)	Prec@1 45.500 (47.291)	Prec@5 76.000 (77.790)
Epoch: [38][6590/9018]	Time 0.613 (0.628)	Data 0.001 (0.003)	Loss 1.8428 (2.0485)	Prec@1 48.000 (47.290)	Prec@5 84.000 (77.790)
Epoch: [38][6600/9018]	Time 0.625 (0.628)	Data 0.001 (0.003)	Loss 1.8537 (2.0485)	Prec@1 48.000 (47.290)	Prec@5 81.000 (77.792)
Epoch: [38][6610/9018]	Time 0.742 (0.628)	Data 0.001 (0.003)	Loss 2.2446 (2.0485)	Prec@1 42.500 (47.291)	Prec@5 72.500 (77.792)
Epoch: [38][6620/9018]	Time 0.622 (0.628)	Data 0.001 (0.003)	Loss 1.9460 (2.0485)	Prec@1 46.500 (47.291)	Prec@5 81.000 (77.790)
Epoch: [38][6630/9018]	Time 0.624 (0.628)	Data 0.001 (0.003)	Loss 2.0164 (2.0485)	Prec@1 48.000 (47.291)	Prec@5 78.500 (77.789)
Epoch: [38][6640/9018]	Time 0.629 (0.628)	Data 0.001 (0.003)	Loss 2.0467 (2.0486)	Prec@1 46.500 (47.290)	Prec@5 77.000 (77.788)
Epoch: [38][6650/9018]	Time 0.610 (0.628)	Data 0.001 (0.003)	Loss 2.0357 (2.0486)	Prec@1 45.500 (47.288)	Prec@5 76.000 (77.787)
Epoch: [38][6660/9018]	Time 0.612 (0.628)	Data 0.001 (0.003)	Loss 2.3504 (2.0487)	Prec@1 43.000 (47.288)	Prec@5 74.500 (77.785)
Epoch: [38][6670/9018]	Time 0.624 (0.628)	Data 0.001 (0.003)	Loss 1.9978 (2.0487)	Prec@1 51.000 (47.289)	Prec@5 78.500 (77.785)
Epoch: [38][6680/9018]	Time 0.640 (0.628)	Data 0.001 (0.003)	Loss 2.1758 (2.0487)	Prec@1 43.000 (47.289)	Prec@5 74.500 (77.786)
Epoch: [38][6690/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 1.8640 (2.0487)	Prec@1 54.500 (47.289)	Prec@5 82.500 (77.787)
Epoch: [38][6700/9018]	Time 0.610 (0.628)	Data 0.001 (0.003)	Loss 2.1318 (2.0487)	Prec@1 48.000 (47.289)	Prec@5 77.000 (77.787)
Epoch: [38][6710/9018]	Time 0.611 (0.628)	Data 0.001 (0.003)	Loss 2.0166 (2.0487)	Prec@1 50.000 (47.290)	Prec@5 79.000 (77.787)
Epoch: [38][6720/9018]	Time 0.628 (0.628)	Data 0.001 (0.003)	Loss 2.3213 (2.0488)	Prec@1 43.000 (47.290)	Prec@5 69.500 (77.785)
Epoch: [38][6730/9018]	Time 0.619 (0.628)	Data 0.001 (0.003)	Loss 2.1561 (2.0488)	Prec@1 44.500 (47.287)	Prec@5 77.000 (77.786)
Epoch: [38][6740/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 1.9567 (2.0488)	Prec@1 52.500 (47.288)	Prec@5 76.000 (77.787)
Epoch: [38][6750/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 2.2170 (2.0489)	Prec@1 43.000 (47.286)	Prec@5 71.500 (77.785)
Epoch: [38][6760/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 2.1463 (2.0489)	Prec@1 47.000 (47.284)	Prec@5 77.000 (77.784)
Epoch: [38][6770/9018]	Time 0.625 (0.628)	Data 0.001 (0.003)	Loss 1.8603 (2.0489)	Prec@1 54.500 (47.285)	Prec@5 83.500 (77.785)
Epoch: [38][6780/9018]	Time 0.615 (0.628)	Data 0.001 (0.003)	Loss 2.0756 (2.0490)	Prec@1 51.000 (47.287)	Prec@5 78.000 (77.785)
Epoch: [38][6790/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 2.1240 (2.0491)	Prec@1 48.500 (47.286)	Prec@5 75.000 (77.783)
Epoch: [38][6800/9018]	Time 0.622 (0.628)	Data 0.001 (0.003)	Loss 2.3461 (2.0492)	Prec@1 42.000 (47.282)	Prec@5 74.000 (77.781)
Epoch: [38][6810/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 2.0313 (2.0491)	Prec@1 45.000 (47.281)	Prec@5 78.000 (77.783)
Epoch: [38][6820/9018]	Time 0.627 (0.628)	Data 0.001 (0.003)	Loss 2.2061 (2.0492)	Prec@1 44.500 (47.279)	Prec@5 73.000 (77.783)
Epoch: [38][6830/9018]	Time 0.617 (0.628)	Data 0.001 (0.003)	Loss 2.0501 (2.0492)	Prec@1 49.500 (47.278)	Prec@5 75.000 (77.782)
Epoch: [38][6840/9018]	Time 0.619 (0.628)	Data 0.001 (0.003)	Loss 2.1737 (2.0491)	Prec@1 46.500 (47.278)	Prec@5 74.500 (77.784)
Epoch: [38][6850/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 2.0169 (2.0491)	Prec@1 44.500 (47.279)	Prec@5 78.500 (77.784)
Epoch: [38][6860/9018]	Time 0.624 (0.628)	Data 0.001 (0.003)	Loss 2.0511 (2.0491)	Prec@1 44.500 (47.277)	Prec@5 79.000 (77.785)
Epoch: [38][6870/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 2.3385 (2.0492)	Prec@1 45.500 (47.277)	Prec@5 74.500 (77.783)
Epoch: [38][6880/9018]	Time 0.626 (0.628)	Data 0.001 (0.003)	Loss 2.1626 (2.0493)	Prec@1 44.500 (47.274)	Prec@5 73.000 (77.782)
Epoch: [38][6890/9018]	Time 0.742 (0.628)	Data 0.001 (0.003)	Loss 1.8720 (2.0493)	Prec@1 51.000 (47.273)	Prec@5 78.500 (77.781)
Epoch: [38][6900/9018]	Time 0.636 (0.628)	Data 0.001 (0.003)	Loss 2.1079 (2.0493)	Prec@1 41.500 (47.271)	Prec@5 75.500 (77.783)
Epoch: [38][6910/9018]	Time 0.621 (0.628)	Data 0.001 (0.003)	Loss 2.1177 (2.0493)	Prec@1 46.500 (47.273)	Prec@5 73.000 (77.781)
Epoch: [38][6920/9018]	Time 0.617 (0.628)	Data 0.001 (0.003)	Loss 1.9456 (2.0492)	Prec@1 51.500 (47.273)	Prec@5 82.000 (77.783)
Epoch: [38][6930/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 2.0203 (2.0493)	Prec@1 52.000 (47.270)	Prec@5 77.000 (77.782)
Epoch: [38][6940/9018]	Time 0.752 (0.628)	Data 0.001 (0.003)	Loss 2.0132 (2.0494)	Prec@1 46.000 (47.269)	Prec@5 77.000 (77.781)
Epoch: [38][6950/9018]	Time 0.626 (0.628)	Data 0.001 (0.003)	Loss 2.0175 (2.0494)	Prec@1 47.500 (47.269)	Prec@5 79.000 (77.781)
Epoch: [38][6960/9018]	Time 0.627 (0.628)	Data 0.001 (0.003)	Loss 2.1304 (2.0495)	Prec@1 49.000 (47.267)	Prec@5 76.000 (77.779)
Epoch: [38][6970/9018]	Time 0.608 (0.628)	Data 0.001 (0.003)	Loss 2.0880 (2.0496)	Prec@1 46.000 (47.264)	Prec@5 77.500 (77.779)
Epoch: [38][6980/9018]	Time 0.626 (0.628)	Data 0.001 (0.003)	Loss 2.1130 (2.0497)	Prec@1 44.000 (47.262)	Prec@5 75.500 (77.777)
Epoch: [38][6990/9018]	Time 0.616 (0.628)	Data 0.001 (0.003)	Loss 2.2273 (2.0497)	Prec@1 45.000 (47.261)	Prec@5 75.500 (77.777)
Epoch: [38][7000/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 2.0415 (2.0497)	Prec@1 47.500 (47.262)	Prec@5 77.500 (77.777)
Epoch: [38][7010/9018]	Time 0.624 (0.628)	Data 0.001 (0.003)	Loss 1.9747 (2.0497)	Prec@1 51.500 (47.264)	Prec@5 78.500 (77.776)
Epoch: [38][7020/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 1.9301 (2.0497)	Prec@1 50.500 (47.263)	Prec@5 78.000 (77.776)
Epoch: [38][7030/9018]	Time 0.613 (0.628)	Data 0.001 (0.003)	Loss 2.1705 (2.0497)	Prec@1 44.000 (47.263)	Prec@5 75.000 (77.776)
Epoch: [38][7040/9018]	Time 0.627 (0.628)	Data 0.001 (0.003)	Loss 2.1427 (2.0499)	Prec@1 45.000 (47.261)	Prec@5 76.000 (77.771)
Epoch: [38][7050/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 2.1667 (2.0498)	Prec@1 43.500 (47.263)	Prec@5 77.500 (77.773)
Epoch: [38][7060/9018]	Time 0.613 (0.628)	Data 0.001 (0.003)	Loss 2.2897 (2.0497)	Prec@1 45.500 (47.267)	Prec@5 72.000 (77.774)
Epoch: [38][7070/9018]	Time 0.624 (0.628)	Data 0.001 (0.003)	Loss 2.2546 (2.0497)	Prec@1 41.000 (47.265)	Prec@5 73.500 (77.773)
Epoch: [38][7080/9018]	Time 0.621 (0.628)	Data 0.001 (0.003)	Loss 1.8189 (2.0497)	Prec@1 55.000 (47.265)	Prec@5 79.500 (77.771)
Epoch: [38][7090/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 2.0169 (2.0497)	Prec@1 49.500 (47.266)	Prec@5 76.500 (77.773)
Epoch: [38][7100/9018]	Time 0.625 (0.628)	Data 0.001 (0.003)	Loss 2.1222 (2.0497)	Prec@1 48.500 (47.266)	Prec@5 75.500 (77.775)
Epoch: [38][7110/9018]	Time 0.622 (0.628)	Data 0.001 (0.003)	Loss 2.3361 (2.0497)	Prec@1 37.000 (47.266)	Prec@5 74.000 (77.774)
Epoch: [38][7120/9018]	Time 0.634 (0.628)	Data 0.001 (0.003)	Loss 2.3602 (2.0498)	Prec@1 44.500 (47.266)	Prec@5 74.000 (77.772)
Epoch: [38][7130/9018]	Time 0.616 (0.628)	Data 0.001 (0.003)	Loss 1.8275 (2.0499)	Prec@1 47.000 (47.264)	Prec@5 82.500 (77.771)
Epoch: [38][7140/9018]	Time 0.617 (0.628)	Data 0.001 (0.003)	Loss 2.0584 (2.0499)	Prec@1 45.000 (47.263)	Prec@5 78.500 (77.770)
Epoch: [38][7150/9018]	Time 0.621 (0.628)	Data 0.001 (0.003)	Loss 2.0515 (2.0500)	Prec@1 41.500 (47.262)	Prec@5 77.500 (77.770)
Epoch: [38][7160/9018]	Time 0.619 (0.628)	Data 0.001 (0.004)	Loss 1.9543 (2.0499)	Prec@1 50.000 (47.262)	Prec@5 78.500 (77.770)
Epoch: [38][7170/9018]	Time 0.614 (0.628)	Data 0.001 (0.004)	Loss 2.1068 (2.0500)	Prec@1 46.500 (47.262)	Prec@5 76.000 (77.770)
Epoch: [38][7180/9018]	Time 0.619 (0.628)	Data 0.001 (0.004)	Loss 2.2439 (2.0501)	Prec@1 42.000 (47.260)	Prec@5 76.500 (77.768)
Epoch: [38][7190/9018]	Time 0.632 (0.628)	Data 0.001 (0.004)	Loss 1.9850 (2.0501)	Prec@1 49.500 (47.262)	Prec@5 78.500 (77.769)
Epoch: [38][7200/9018]	Time 0.623 (0.628)	Data 0.001 (0.004)	Loss 1.9498 (2.0501)	Prec@1 48.000 (47.263)	Prec@5 78.500 (77.770)
Epoch: [38][7210/9018]	Time 0.623 (0.628)	Data 0.001 (0.004)	Loss 2.0339 (2.0503)	Prec@1 52.000 (47.259)	Prec@5 75.500 (77.766)
Epoch: [38][7220/9018]	Time 0.741 (0.628)	Data 0.001 (0.004)	Loss 2.0961 (2.0502)	Prec@1 50.000 (47.261)	Prec@5 78.500 (77.767)
Epoch: [38][7230/9018]	Time 0.628 (0.628)	Data 0.001 (0.004)	Loss 1.8244 (2.0503)	Prec@1 50.500 (47.262)	Prec@5 83.000 (77.766)
Epoch: [38][7240/9018]	Time 0.620 (0.628)	Data 0.001 (0.004)	Loss 2.0107 (2.0503)	Prec@1 44.500 (47.260)	Prec@5 76.000 (77.767)
Epoch: [38][7250/9018]	Time 0.623 (0.628)	Data 0.001 (0.004)	Loss 1.8608 (2.0503)	Prec@1 47.500 (47.259)	Prec@5 82.000 (77.765)
Epoch: [38][7260/9018]	Time 0.619 (0.628)	Data 0.001 (0.004)	Loss 2.3055 (2.0504)	Prec@1 43.500 (47.258)	Prec@5 73.000 (77.764)
Epoch: [38][7270/9018]	Time 0.745 (0.628)	Data 0.001 (0.004)	Loss 1.9859 (2.0504)	Prec@1 48.500 (47.259)	Prec@5 80.000 (77.765)
Epoch: [38][7280/9018]	Time 0.626 (0.628)	Data 0.001 (0.004)	Loss 2.1074 (2.0504)	Prec@1 46.000 (47.257)	Prec@5 77.500 (77.764)
Epoch: [38][7290/9018]	Time 0.625 (0.628)	Data 0.001 (0.004)	Loss 2.0156 (2.0504)	Prec@1 47.500 (47.256)	Prec@5 78.000 (77.762)
Epoch: [38][7300/9018]	Time 0.636 (0.628)	Data 0.001 (0.004)	Loss 2.0750 (2.0504)	Prec@1 46.000 (47.257)	Prec@5 76.000 (77.761)
Epoch: [38][7310/9018]	Time 0.622 (0.628)	Data 0.001 (0.004)	Loss 2.0836 (2.0504)	Prec@1 46.000 (47.256)	Prec@5 76.500 (77.761)
Epoch: [38][7320/9018]	Time 0.618 (0.628)	Data 0.001 (0.004)	Loss 1.9172 (2.0503)	Prec@1 50.500 (47.258)	Prec@5 78.000 (77.763)
Epoch: [38][7330/9018]	Time 0.622 (0.628)	Data 0.001 (0.004)	Loss 2.2202 (2.0503)	Prec@1 46.000 (47.256)	Prec@5 73.500 (77.761)
Epoch: [38][7340/9018]	Time 0.637 (0.628)	Data 0.001 (0.004)	Loss 2.1305 (2.0504)	Prec@1 46.000 (47.255)	Prec@5 77.500 (77.761)
Epoch: [38][7350/9018]	Time 0.623 (0.628)	Data 0.001 (0.004)	Loss 1.9833 (2.0504)	Prec@1 50.000 (47.255)	Prec@5 78.500 (77.762)
Epoch: [38][7360/9018]	Time 0.624 (0.628)	Data 0.001 (0.004)	Loss 1.9388 (2.0504)	Prec@1 50.500 (47.252)	Prec@5 79.500 (77.763)
Epoch: [38][7370/9018]	Time 0.615 (0.628)	Data 0.001 (0.004)	Loss 2.0272 (2.0503)	Prec@1 46.000 (47.255)	Prec@5 79.500 (77.765)
Epoch: [38][7380/9018]	Time 0.630 (0.628)	Data 0.001 (0.004)	Loss 1.9400 (2.0503)	Prec@1 50.500 (47.254)	Prec@5 78.500 (77.764)
Epoch: [38][7390/9018]	Time 0.618 (0.628)	Data 0.001 (0.004)	Loss 2.1610 (2.0503)	Prec@1 46.500 (47.256)	Prec@5 74.500 (77.764)
Epoch: [38][7400/9018]	Time 0.623 (0.628)	Data 0.001 (0.004)	Loss 2.1903 (2.0504)	Prec@1 46.500 (47.255)	Prec@5 74.500 (77.763)
Epoch: [38][7410/9018]	Time 0.619 (0.628)	Data 0.001 (0.004)	Loss 2.0708 (2.0504)	Prec@1 46.000 (47.253)	Prec@5 78.500 (77.763)
Epoch: [38][7420/9018]	Time 0.612 (0.629)	Data 0.001 (0.004)	Loss 1.9807 (2.0503)	Prec@1 48.500 (47.255)	Prec@5 76.500 (77.764)
Epoch: [38][7430/9018]	Time 0.615 (0.629)	Data 0.001 (0.004)	Loss 2.0144 (2.0503)	Prec@1 47.500 (47.254)	Prec@5 80.000 (77.763)
Epoch: [38][7440/9018]	Time 0.620 (0.629)	Data 0.001 (0.004)	Loss 1.8776 (2.0503)	Prec@1 52.500 (47.252)	Prec@5 83.000 (77.765)
Epoch: [38][7450/9018]	Time 0.618 (0.629)	Data 0.001 (0.004)	Loss 2.1455 (2.0503)	Prec@1 43.000 (47.252)	Prec@5 78.000 (77.764)
Epoch: [38][7460/9018]	Time 0.616 (0.629)	Data 0.001 (0.004)	Loss 2.1499 (2.0504)	Prec@1 46.000 (47.253)	Prec@5 74.000 (77.763)
Epoch: [38][7470/9018]	Time 0.620 (0.629)	Data 0.001 (0.004)	Loss 2.1255 (2.0504)	Prec@1 40.500 (47.249)	Prec@5 79.000 (77.763)
Epoch: [38][7480/9018]	Time 0.622 (0.629)	Data 0.001 (0.004)	Loss 1.9964 (2.0503)	Prec@1 47.000 (47.250)	Prec@5 78.000 (77.765)
Epoch: [38][7490/9018]	Time 0.625 (0.629)	Data 0.001 (0.004)	Loss 2.2888 (2.0503)	Prec@1 42.000 (47.249)	Prec@5 72.500 (77.764)
Epoch: [38][7500/9018]	Time 0.626 (0.629)	Data 0.001 (0.004)	Loss 2.1321 (2.0503)	Prec@1 46.500 (47.249)	Prec@5 75.500 (77.765)
Epoch: [38][7510/9018]	Time 0.627 (0.629)	Data 0.001 (0.004)	Loss 2.2420 (2.0503)	Prec@1 40.000 (47.248)	Prec@5 76.500 (77.764)
Epoch: [38][7520/9018]	Time 0.621 (0.629)	Data 0.001 (0.004)	Loss 2.0906 (2.0503)	Prec@1 47.500 (47.249)	Prec@5 78.000 (77.764)
Epoch: [38][7530/9018]	Time 0.618 (0.629)	Data 0.001 (0.004)	Loss 1.9815 (2.0504)	Prec@1 47.500 (47.248)	Prec@5 78.000 (77.762)
Epoch: [38][7540/9018]	Time 0.615 (0.629)	Data 0.001 (0.004)	Loss 1.9250 (2.0503)	Prec@1 48.500 (47.249)	Prec@5 82.500 (77.764)
Epoch: [38][7550/9018]	Time 0.765 (0.629)	Data 0.001 (0.004)	Loss 1.9906 (2.0504)	Prec@1 45.000 (47.246)	Prec@5 76.500 (77.762)
Epoch: [38][7560/9018]	Time 0.623 (0.629)	Data 0.001 (0.004)	Loss 2.0803 (2.0504)	Prec@1 47.500 (47.246)	Prec@5 78.000 (77.761)
Epoch: [38][7570/9018]	Time 0.626 (0.629)	Data 0.001 (0.004)	Loss 1.9851 (2.0505)	Prec@1 44.500 (47.244)	Prec@5 79.000 (77.759)
Epoch: [38][7580/9018]	Time 0.627 (0.629)	Data 0.001 (0.004)	Loss 1.9122 (2.0505)	Prec@1 48.000 (47.244)	Prec@5 81.500 (77.760)
Epoch: [38][7590/9018]	Time 0.613 (0.629)	Data 0.001 (0.004)	Loss 2.1125 (2.0506)	Prec@1 43.500 (47.241)	Prec@5 77.000 (77.759)
Epoch: [38][7600/9018]	Time 0.750 (0.629)	Data 0.001 (0.004)	Loss 2.0924 (2.0507)	Prec@1 44.000 (47.239)	Prec@5 79.000 (77.758)
Epoch: [38][7610/9018]	Time 0.626 (0.629)	Data 0.001 (0.004)	Loss 2.0629 (2.0507)	Prec@1 48.500 (47.239)	Prec@5 76.500 (77.758)
Epoch: [38][7620/9018]	Time 0.622 (0.629)	Data 0.001 (0.004)	Loss 2.2590 (2.0507)	Prec@1 44.500 (47.238)	Prec@5 76.500 (77.758)
Epoch: [38][7630/9018]	Time 0.628 (0.629)	Data 0.001 (0.004)	Loss 2.0573 (2.0508)	Prec@1 49.500 (47.235)	Prec@5 80.000 (77.757)
Epoch: [38][7640/9018]	Time 0.619 (0.629)	Data 0.001 (0.004)	Loss 1.9721 (2.0508)	Prec@1 50.000 (47.235)	Prec@5 77.000 (77.755)
Epoch: [38][7650/9018]	Time 0.612 (0.629)	Data 0.001 (0.004)	Loss 2.0406 (2.0509)	Prec@1 49.500 (47.234)	Prec@5 80.500 (77.754)
Epoch: [38][7660/9018]	Time 0.623 (0.629)	Data 0.001 (0.004)	Loss 1.9766 (2.0509)	Prec@1 45.500 (47.233)	Prec@5 80.500 (77.756)
Epoch: [38][7670/9018]	Time 0.617 (0.629)	Data 0.001 (0.004)	Loss 2.0776 (2.0509)	Prec@1 46.500 (47.232)	Prec@5 78.000 (77.757)
Epoch: [38][7680/9018]	Time 0.632 (0.629)	Data 0.001 (0.004)	Loss 2.1061 (2.0510)	Prec@1 45.500 (47.231)	Prec@5 75.500 (77.756)
Epoch: [38][7690/9018]	Time 0.617 (0.629)	Data 0.001 (0.004)	Loss 2.0631 (2.0510)	Prec@1 48.500 (47.230)	Prec@5 79.000 (77.754)
Epoch: [38][7700/9018]	Time 0.618 (0.629)	Data 0.001 (0.004)	Loss 2.2440 (2.0511)	Prec@1 44.000 (47.226)	Prec@5 73.500 (77.753)
Epoch: [38][7710/9018]	Time 0.624 (0.629)	Data 0.001 (0.004)	Loss 1.9651 (2.0511)	Prec@1 46.500 (47.228)	Prec@5 82.500 (77.754)
Epoch: [38][7720/9018]	Time 0.633 (0.629)	Data 0.001 (0.004)	Loss 1.9971 (2.0511)	Prec@1 47.500 (47.226)	Prec@5 79.500 (77.754)
Epoch: [38][7730/9018]	Time 0.614 (0.629)	Data 0.001 (0.004)	Loss 2.0052 (2.0511)	Prec@1 44.000 (47.224)	Prec@5 79.000 (77.754)
Epoch: [38][7740/9018]	Time 0.614 (0.629)	Data 0.001 (0.004)	Loss 2.0649 (2.0512)	Prec@1 42.000 (47.223)	Prec@5 78.000 (77.754)
Epoch: [38][7750/9018]	Time 0.621 (0.629)	Data 0.001 (0.004)	Loss 1.9735 (2.0512)	Prec@1 48.000 (47.223)	Prec@5 77.500 (77.753)
Epoch: [38][7760/9018]	Time 0.618 (0.629)	Data 0.001 (0.004)	Loss 2.1883 (2.0512)	Prec@1 47.000 (47.224)	Prec@5 70.500 (77.752)
Epoch: [38][7770/9018]	Time 0.629 (0.629)	Data 0.001 (0.004)	Loss 2.1239 (2.0512)	Prec@1 48.500 (47.226)	Prec@5 76.500 (77.753)
Epoch: [38][7780/9018]	Time 0.620 (0.629)	Data 0.001 (0.004)	Loss 2.0743 (2.0512)	Prec@1 44.000 (47.224)	Prec@5 79.000 (77.752)
Epoch: [38][7790/9018]	Time 0.612 (0.629)	Data 0.001 (0.004)	Loss 2.1852 (2.0512)	Prec@1 46.500 (47.224)	Prec@5 73.000 (77.752)
Epoch: [38][7800/9018]	Time 0.639 (0.629)	Data 0.035 (0.004)	Loss 2.2612 (2.0513)	Prec@1 41.500 (47.223)	Prec@5 72.000 (77.750)
Epoch: [38][7810/9018]	Time 0.620 (0.629)	Data 0.001 (0.004)	Loss 2.0589 (2.0514)	Prec@1 49.000 (47.223)	Prec@5 76.000 (77.748)
Epoch: [38][7820/9018]	Time 0.624 (0.629)	Data 0.001 (0.004)	Loss 2.0516 (2.0514)	Prec@1 47.000 (47.225)	Prec@5 78.000 (77.750)
Epoch: [38][7830/9018]	Time 0.622 (0.629)	Data 0.001 (0.004)	Loss 2.1778 (2.0514)	Prec@1 42.500 (47.222)	Prec@5 76.000 (77.749)
Epoch: [38][7840/9018]	Time 0.623 (0.629)	Data 0.001 (0.004)	Loss 1.8738 (2.0515)	Prec@1 52.500 (47.222)	Prec@5 81.500 (77.747)
Epoch: [38][7850/9018]	Time 0.628 (0.629)	Data 0.001 (0.004)	Loss 2.0793 (2.0515)	Prec@1 47.500 (47.221)	Prec@5 75.500 (77.745)
Epoch: [38][7860/9018]	Time 0.607 (0.629)	Data 0.001 (0.004)	Loss 1.8481 (2.0516)	Prec@1 48.000 (47.222)	Prec@5 78.500 (77.745)
Epoch: [38][7870/9018]	Time 0.625 (0.629)	Data 0.001 (0.004)	Loss 2.0779 (2.0515)	Prec@1 49.000 (47.222)	Prec@5 76.500 (77.746)
Epoch: [38][7880/9018]	Time 0.731 (0.629)	Data 0.001 (0.004)	Loss 1.9724 (2.0515)	Prec@1 52.000 (47.224)	Prec@5 79.500 (77.746)
Epoch: [38][7890/9018]	Time 0.619 (0.629)	Data 0.001 (0.004)	Loss 2.1921 (2.0516)	Prec@1 45.000 (47.223)	Prec@5 75.000 (77.744)
Epoch: [38][7900/9018]	Time 0.619 (0.629)	Data 0.001 (0.004)	Loss 2.2590 (2.0517)	Prec@1 39.500 (47.221)	Prec@5 74.500 (77.742)
Epoch: [38][7910/9018]	Time 0.622 (0.629)	Data 0.001 (0.004)	Loss 2.0493 (2.0517)	Prec@1 44.500 (47.220)	Prec@5 79.000 (77.742)
Epoch: [38][7920/9018]	Time 0.611 (0.629)	Data 0.001 (0.004)	Loss 2.1491 (2.0517)	Prec@1 41.000 (47.220)	Prec@5 77.500 (77.742)
Epoch: [38][7930/9018]	Time 0.746 (0.629)	Data 0.001 (0.004)	Loss 2.0286 (2.0517)	Prec@1 47.000 (47.218)	Prec@5 80.500 (77.743)
Epoch: [38][7940/9018]	Time 0.619 (0.629)	Data 0.001 (0.004)	Loss 2.0369 (2.0517)	Prec@1 55.000 (47.218)	Prec@5 79.000 (77.743)
Epoch: [38][7950/9018]	Time 0.616 (0.629)	Data 0.001 (0.004)	Loss 2.0337 (2.0517)	Prec@1 45.500 (47.218)	Prec@5 79.000 (77.744)
Epoch: [38][7960/9018]	Time 0.616 (0.629)	Data 0.001 (0.004)	Loss 2.1446 (2.0517)	Prec@1 47.500 (47.218)	Prec@5 77.000 (77.744)
Epoch: [38][7970/9018]	Time 0.616 (0.629)	Data 0.001 (0.004)	Loss 2.1186 (2.0518)	Prec@1 46.500 (47.217)	Prec@5 78.000 (77.742)
Epoch: [38][7980/9018]	Time 0.621 (0.629)	Data 0.001 (0.004)	Loss 2.1955 (2.0519)	Prec@1 45.000 (47.215)	Prec@5 76.000 (77.740)
Epoch: [38][7990/9018]	Time 0.615 (0.629)	Data 0.001 (0.004)	Loss 2.0087 (2.0519)	Prec@1 48.000 (47.215)	Prec@5 79.500 (77.740)
Epoch: [38][8000/9018]	Time 0.620 (0.629)	Data 0.001 (0.004)	Loss 1.9763 (2.0518)	Prec@1 45.000 (47.216)	Prec@5 77.500 (77.741)
Epoch: [38][8010/9018]	Time 0.613 (0.629)	Data 0.001 (0.004)	Loss 2.0918 (2.0518)	Prec@1 46.500 (47.215)	Prec@5 73.500 (77.739)
Epoch: [38][8020/9018]	Time 0.615 (0.629)	Data 0.001 (0.004)	Loss 2.1734 (2.0518)	Prec@1 46.000 (47.214)	Prec@5 73.000 (77.738)
Epoch: [38][8030/9018]	Time 0.624 (0.629)	Data 0.001 (0.004)	Loss 2.1335 (2.0519)	Prec@1 46.500 (47.213)	Prec@5 78.500 (77.737)
Epoch: [38][8040/9018]	Time 0.623 (0.629)	Data 0.001 (0.004)	Loss 2.0848 (2.0518)	Prec@1 42.000 (47.212)	Prec@5 77.000 (77.738)
Epoch: [38][8050/9018]	Time 1.265 (0.629)	Data 0.708 (0.004)	Loss 2.0815 (2.0519)	Prec@1 46.000 (47.212)	Prec@5 80.000 (77.738)
Epoch: [38][8060/9018]	Time 0.620 (0.629)	Data 0.001 (0.004)	Loss 1.8032 (2.0518)	Prec@1 51.000 (47.214)	Prec@5 81.000 (77.738)
Epoch: [38][8070/9018]	Time 0.617 (0.629)	Data 0.001 (0.004)	Loss 1.9259 (2.0518)	Prec@1 49.500 (47.214)	Prec@5 78.500 (77.738)
Epoch: [38][8080/9018]	Time 0.627 (0.629)	Data 0.001 (0.004)	Loss 2.0593 (2.0519)	Prec@1 41.000 (47.213)	Prec@5 80.500 (77.737)
Epoch: [38][8090/9018]	Time 0.613 (0.629)	Data 0.001 (0.004)	Loss 2.0839 (2.0519)	Prec@1 45.000 (47.213)	Prec@5 76.500 (77.735)
Epoch: [38][8100/9018]	Time 0.622 (0.629)	Data 0.001 (0.004)	Loss 2.1495 (2.0519)	Prec@1 43.500 (47.214)	Prec@5 78.500 (77.737)
Epoch: [38][8110/9018]	Time 0.618 (0.629)	Data 0.001 (0.004)	Loss 1.7998 (2.0519)	Prec@1 56.500 (47.214)	Prec@5 80.000 (77.735)
Epoch: [38][8120/9018]	Time 0.624 (0.629)	Data 0.001 (0.004)	Loss 2.3605 (2.0519)	Prec@1 41.000 (47.214)	Prec@5 72.000 (77.735)
Epoch: [38][8130/9018]	Time 0.622 (0.629)	Data 0.001 (0.004)	Loss 2.0869 (2.0520)	Prec@1 51.500 (47.214)	Prec@5 77.000 (77.735)
Epoch: [38][8140/9018]	Time 0.604 (0.629)	Data 0.001 (0.004)	Loss 2.0511 (2.0520)	Prec@1 48.000 (47.214)	Prec@5 75.500 (77.731)
Epoch: [38][8150/9018]	Time 0.625 (0.629)	Data 0.001 (0.004)	Loss 1.9580 (2.0521)	Prec@1 51.000 (47.213)	Prec@5 83.000 (77.731)
Epoch: [38][8160/9018]	Time 0.616 (0.629)	Data 0.001 (0.004)	Loss 2.1389 (2.0521)	Prec@1 47.500 (47.214)	Prec@5 75.500 (77.732)
Epoch: [38][8170/9018]	Time 0.627 (0.629)	Data 0.001 (0.004)	Loss 2.0383 (2.0521)	Prec@1 47.500 (47.212)	Prec@5 77.000 (77.731)
Epoch: [38][8180/9018]	Time 0.617 (0.629)	Data 0.001 (0.004)	Loss 2.0204 (2.0521)	Prec@1 47.500 (47.213)	Prec@5 79.500 (77.732)
Epoch: [38][8190/9018]	Time 0.618 (0.629)	Data 0.001 (0.004)	Loss 1.9770 (2.0521)	Prec@1 50.000 (47.210)	Prec@5 79.500 (77.732)
Epoch: [38][8200/9018]	Time 0.620 (0.629)	Data 0.001 (0.004)	Loss 2.1122 (2.0522)	Prec@1 43.000 (47.209)	Prec@5 76.000 (77.731)
Epoch: [38][8210/9018]	Time 0.737 (0.629)	Data 0.001 (0.004)	Loss 2.0357 (2.0523)	Prec@1 48.500 (47.206)	Prec@5 78.000 (77.730)
Epoch: [38][8220/9018]	Time 0.616 (0.629)	Data 0.001 (0.004)	Loss 2.0696 (2.0523)	Prec@1 45.000 (47.205)	Prec@5 78.000 (77.730)
Epoch: [38][8230/9018]	Time 0.623 (0.629)	Data 0.001 (0.004)	Loss 1.9704 (2.0523)	Prec@1 49.000 (47.205)	Prec@5 77.500 (77.731)
Epoch: [38][8240/9018]	Time 0.630 (0.629)	Data 0.001 (0.004)	Loss 2.0412 (2.0522)	Prec@1 48.000 (47.208)	Prec@5 76.000 (77.732)
Epoch: [38][8250/9018]	Time 0.616 (0.629)	Data 0.001 (0.004)	Loss 2.1519 (2.0523)	Prec@1 46.500 (47.208)	Prec@5 75.000 (77.731)
Epoch: [38][8260/9018]	Time 0.743 (0.629)	Data 0.001 (0.004)	Loss 1.9713 (2.0523)	Prec@1 44.000 (47.206)	Prec@5 80.500 (77.731)
Epoch: [38][8270/9018]	Time 0.620 (0.629)	Data 0.001 (0.004)	Loss 2.0839 (2.0524)	Prec@1 46.500 (47.205)	Prec@5 75.000 (77.729)
Epoch: [38][8280/9018]	Time 0.612 (0.629)	Data 0.001 (0.004)	Loss 2.1246 (2.0524)	Prec@1 43.500 (47.204)	Prec@5 76.500 (77.730)
Epoch: [38][8290/9018]	Time 0.622 (0.629)	Data 0.001 (0.004)	Loss 2.1901 (2.0524)	Prec@1 48.000 (47.204)	Prec@5 76.500 (77.730)
Epoch: [38][8300/9018]	Time 0.621 (0.629)	Data 0.001 (0.004)	Loss 2.0112 (2.0524)	Prec@1 52.500 (47.205)	Prec@5 74.500 (77.729)
Epoch: [38][8310/9018]	Time 0.611 (0.629)	Data 0.001 (0.004)	Loss 2.0774 (2.0525)	Prec@1 46.500 (47.203)	Prec@5 78.000 (77.728)
Epoch: [38][8320/9018]	Time 0.616 (0.629)	Data 0.001 (0.004)	Loss 2.2240 (2.0525)	Prec@1 44.500 (47.203)	Prec@5 76.500 (77.727)
Epoch: [38][8330/9018]	Time 0.627 (0.629)	Data 0.001 (0.004)	Loss 2.2516 (2.0526)	Prec@1 44.500 (47.201)	Prec@5 75.500 (77.727)
Epoch: [38][8340/9018]	Time 0.619 (0.629)	Data 0.001 (0.004)	Loss 2.0573 (2.0527)	Prec@1 46.500 (47.200)	Prec@5 77.500 (77.726)
Epoch: [38][8350/9018]	Time 0.615 (0.629)	Data 0.001 (0.004)	Loss 1.9573 (2.0528)	Prec@1 50.500 (47.198)	Prec@5 80.000 (77.724)
Epoch: [38][8360/9018]	Time 0.619 (0.629)	Data 0.001 (0.004)	Loss 2.1660 (2.0528)	Prec@1 48.000 (47.196)	Prec@5 79.000 (77.723)
Epoch: [38][8370/9018]	Time 0.618 (0.629)	Data 0.001 (0.004)	Loss 1.9983 (2.0529)	Prec@1 43.500 (47.193)	Prec@5 80.500 (77.723)
Epoch: [38][8380/9018]	Time 0.625 (0.629)	Data 0.001 (0.004)	Loss 2.1228 (2.0529)	Prec@1 46.000 (47.192)	Prec@5 78.000 (77.723)
Epoch: [38][8390/9018]	Time 0.622 (0.629)	Data 0.001 (0.004)	Loss 2.2739 (2.0529)	Prec@1 44.000 (47.192)	Prec@5 73.000 (77.723)
Epoch: [38][8400/9018]	Time 0.620 (0.629)	Data 0.001 (0.004)	Loss 2.1352 (2.0529)	Prec@1 49.500 (47.193)	Prec@5 75.500 (77.722)
Epoch: [38][8410/9018]	Time 0.620 (0.629)	Data 0.001 (0.004)	Loss 1.9744 (2.0530)	Prec@1 50.500 (47.192)	Prec@5 79.500 (77.721)
Epoch: [38][8420/9018]	Time 0.624 (0.629)	Data 0.001 (0.004)	Loss 1.9057 (2.0530)	Prec@1 51.000 (47.192)	Prec@5 80.000 (77.721)
Epoch: [38][8430/9018]	Time 0.622 (0.629)	Data 0.001 (0.004)	Loss 2.1046 (2.0530)	Prec@1 41.000 (47.191)	Prec@5 77.000 (77.721)
Epoch: [38][8440/9018]	Time 0.616 (0.629)	Data 0.001 (0.004)	Loss 2.1129 (2.0530)	Prec@1 44.500 (47.191)	Prec@5 77.000 (77.722)
Epoch: [38][8450/9018]	Time 0.627 (0.629)	Data 0.001 (0.004)	Loss 1.9854 (2.0529)	Prec@1 49.500 (47.192)	Prec@5 81.000 (77.723)
Epoch: [38][8460/9018]	Time 0.625 (0.629)	Data 0.001 (0.004)	Loss 2.0554 (2.0529)	Prec@1 46.000 (47.191)	Prec@5 78.000 (77.723)
Epoch: [38][8470/9018]	Time 0.625 (0.629)	Data 0.001 (0.004)	Loss 2.1214 (2.0528)	Prec@1 46.500 (47.194)	Prec@5 76.000 (77.724)
Epoch: [38][8480/9018]	Time 0.620 (0.629)	Data 0.001 (0.004)	Loss 2.1290 (2.0529)	Prec@1 51.500 (47.194)	Prec@5 80.000 (77.723)
Epoch: [38][8490/9018]	Time 0.647 (0.629)	Data 0.001 (0.004)	Loss 1.9358 (2.0529)	Prec@1 52.000 (47.195)	Prec@5 80.000 (77.723)
Epoch: [38][8500/9018]	Time 0.629 (0.629)	Data 0.001 (0.004)	Loss 2.2284 (2.0529)	Prec@1 43.000 (47.195)	Prec@5 75.500 (77.724)
Epoch: [38][8510/9018]	Time 1.548 (0.629)	Data 0.988 (0.004)	Loss 2.1459 (2.0528)	Prec@1 44.000 (47.198)	Prec@5 75.500 (77.725)
Epoch: [38][8520/9018]	Time 0.626 (0.629)	Data 0.001 (0.004)	Loss 2.1753 (2.0528)	Prec@1 44.000 (47.197)	Prec@5 77.000 (77.725)
Epoch: [38][8530/9018]	Time 0.623 (0.629)	Data 0.001 (0.004)	Loss 2.0077 (2.0529)	Prec@1 45.500 (47.198)	Prec@5 78.000 (77.725)
Epoch: [38][8540/9018]	Time 0.761 (0.629)	Data 0.001 (0.004)	Loss 2.2085 (2.0529)	Prec@1 42.500 (47.199)	Prec@5 75.500 (77.725)
Epoch: [38][8550/9018]	Time 0.626 (0.629)	Data 0.001 (0.004)	Loss 2.1002 (2.0530)	Prec@1 44.500 (47.198)	Prec@5 77.500 (77.725)
Epoch: [38][8560/9018]	Time 0.628 (0.629)	Data 0.001 (0.004)	Loss 1.9634 (2.0529)	Prec@1 47.500 (47.197)	Prec@5 81.500 (77.727)
Epoch: [38][8570/9018]	Time 0.626 (0.630)	Data 0.001 (0.004)	Loss 2.3286 (2.0530)	Prec@1 43.000 (47.197)	Prec@5 75.500 (77.726)
Epoch: [38][8580/9018]	Time 0.626 (0.630)	Data 0.001 (0.004)	Loss 2.1577 (2.0531)	Prec@1 44.000 (47.195)	Prec@5 75.000 (77.725)
Epoch: [38][8590/9018]	Time 0.755 (0.630)	Data 0.001 (0.004)	Loss 1.9204 (2.0531)	Prec@1 47.500 (47.196)	Prec@5 79.000 (77.723)
Epoch: [38][8600/9018]	Time 0.612 (0.630)	Data 0.001 (0.004)	Loss 2.3288 (2.0531)	Prec@1 39.500 (47.195)	Prec@5 72.500 (77.723)
Epoch: [38][8610/9018]	Time 0.617 (0.630)	Data 0.001 (0.004)	Loss 1.9387 (2.0531)	Prec@1 48.500 (47.195)	Prec@5 80.000 (77.723)
Epoch: [38][8620/9018]	Time 0.620 (0.630)	Data 0.001 (0.004)	Loss 2.1857 (2.0531)	Prec@1 45.000 (47.194)	Prec@5 76.000 (77.724)
Epoch: [38][8630/9018]	Time 0.618 (0.630)	Data 0.001 (0.004)	Loss 2.1422 (2.0530)	Prec@1 48.000 (47.194)	Prec@5 80.000 (77.725)
Epoch: [38][8640/9018]	Time 0.606 (0.630)	Data 0.001 (0.004)	Loss 2.2077 (2.0531)	Prec@1 43.500 (47.194)	Prec@5 77.500 (77.724)
Epoch: [38][8650/9018]	Time 0.625 (0.630)	Data 0.001 (0.004)	Loss 2.2049 (2.0531)	Prec@1 45.000 (47.193)	Prec@5 75.500 (77.724)
Epoch: [38][8660/9018]	Time 0.609 (0.630)	Data 0.001 (0.004)	Loss 1.8734 (2.0531)	Prec@1 51.000 (47.192)	Prec@5 85.000 (77.726)
Epoch: [38][8670/9018]	Time 0.626 (0.629)	Data 0.001 (0.004)	Loss 2.0742 (2.0532)	Prec@1 44.000 (47.190)	Prec@5 77.000 (77.725)
Epoch: [38][8680/9018]	Time 0.622 (0.630)	Data 0.001 (0.004)	Loss 2.1461 (2.0532)	Prec@1 46.500 (47.189)	Prec@5 75.500 (77.724)
Epoch: [38][8690/9018]	Time 0.613 (0.630)	Data 0.001 (0.004)	Loss 2.1525 (2.0532)	Prec@1 45.500 (47.189)	Prec@5 74.500 (77.725)
Epoch: [38][8700/9018]	Time 0.618 (0.629)	Data 0.001 (0.004)	Loss 2.1020 (2.0532)	Prec@1 48.000 (47.188)	Prec@5 75.500 (77.725)
Epoch: [38][8710/9018]	Time 0.620 (0.630)	Data 0.001 (0.004)	Loss 1.9613 (2.0532)	Prec@1 48.500 (47.188)	Prec@5 80.500 (77.724)
Epoch: [38][8720/9018]	Time 0.625 (0.630)	Data 0.001 (0.004)	Loss 2.1290 (2.0532)	Prec@1 46.000 (47.188)	Prec@5 77.000 (77.724)
Epoch: [38][8730/9018]	Time 0.620 (0.630)	Data 0.001 (0.004)	Loss 1.9326 (2.0533)	Prec@1 46.500 (47.189)	Prec@5 81.500 (77.723)
Epoch: [38][8740/9018]	Time 0.612 (0.630)	Data 0.001 (0.004)	Loss 2.0699 (2.0533)	Prec@1 44.500 (47.189)	Prec@5 76.000 (77.722)
Epoch: [38][8750/9018]	Time 0.622 (0.630)	Data 0.001 (0.004)	Loss 1.9716 (2.0534)	Prec@1 53.000 (47.187)	Prec@5 80.000 (77.720)
Epoch: [38][8760/9018]	Time 0.621 (0.630)	Data 0.001 (0.004)	Loss 1.6695 (2.0533)	Prec@1 55.500 (47.190)	Prec@5 85.000 (77.721)
Epoch: [38][8770/9018]	Time 0.616 (0.630)	Data 0.001 (0.004)	Loss 2.2185 (2.0533)	Prec@1 47.000 (47.192)	Prec@5 75.500 (77.721)
Epoch: [38][8780/9018]	Time 0.616 (0.630)	Data 0.001 (0.004)	Loss 2.0960 (2.0534)	Prec@1 47.500 (47.192)	Prec@5 79.500 (77.721)
Epoch: [38][8790/9018]	Time 0.628 (0.630)	Data 0.001 (0.004)	Loss 2.0354 (2.0534)	Prec@1 44.000 (47.192)	Prec@5 83.500 (77.721)
Epoch: [38][8800/9018]	Time 0.622 (0.630)	Data 0.001 (0.004)	Loss 1.8596 (2.0533)	Prec@1 46.500 (47.191)	Prec@5 83.000 (77.721)
Epoch: [38][8810/9018]	Time 0.615 (0.630)	Data 0.001 (0.004)	Loss 2.1353 (2.0533)	Prec@1 49.500 (47.193)	Prec@5 77.500 (77.722)
Epoch: [38][8820/9018]	Time 0.619 (0.630)	Data 0.001 (0.004)	Loss 2.0272 (2.0533)	Prec@1 51.000 (47.194)	Prec@5 77.500 (77.722)
Epoch: [38][8830/9018]	Time 0.627 (0.630)	Data 0.001 (0.004)	Loss 2.1048 (2.0533)	Prec@1 45.000 (47.195)	Prec@5 77.000 (77.722)
Epoch: [38][8840/9018]	Time 0.622 (0.630)	Data 0.001 (0.004)	Loss 1.9702 (2.0532)	Prec@1 46.000 (47.196)	Prec@5 78.500 (77.722)
Epoch: [38][8850/9018]	Time 0.632 (0.630)	Data 0.001 (0.004)	Loss 2.1242 (2.0533)	Prec@1 44.500 (47.195)	Prec@5 75.500 (77.720)
Epoch: [38][8860/9018]	Time 0.621 (0.630)	Data 0.001 (0.004)	Loss 2.1080 (2.0533)	Prec@1 44.000 (47.193)	Prec@5 77.500 (77.720)
Epoch: [38][8870/9018]	Time 0.732 (0.630)	Data 0.001 (0.004)	Loss 2.2959 (2.0534)	Prec@1 40.500 (47.190)	Prec@5 73.000 (77.719)
Epoch: [38][8880/9018]	Time 0.610 (0.630)	Data 0.001 (0.004)	Loss 1.9516 (2.0534)	Prec@1 52.500 (47.190)	Prec@5 79.500 (77.718)
Epoch: [38][8890/9018]	Time 0.616 (0.630)	Data 0.001 (0.004)	Loss 2.3600 (2.0535)	Prec@1 43.500 (47.188)	Prec@5 73.500 (77.716)
Epoch: [38][8900/9018]	Time 0.618 (0.630)	Data 0.001 (0.004)	Loss 2.0439 (2.0536)	Prec@1 49.500 (47.188)	Prec@5 76.500 (77.715)
Epoch: [38][8910/9018]	Time 0.613 (0.630)	Data 0.001 (0.004)	Loss 2.0852 (2.0536)	Prec@1 43.000 (47.188)	Prec@5 78.000 (77.716)
Epoch: [38][8920/9018]	Time 0.736 (0.630)	Data 0.001 (0.004)	Loss 2.0693 (2.0536)	Prec@1 49.000 (47.187)	Prec@5 75.500 (77.715)
Epoch: [38][8930/9018]	Time 0.621 (0.630)	Data 0.001 (0.004)	Loss 2.1557 (2.0536)	Prec@1 42.000 (47.186)	Prec@5 78.500 (77.714)
Epoch: [38][8940/9018]	Time 0.613 (0.630)	Data 0.001 (0.004)	Loss 2.0511 (2.0536)	Prec@1 50.000 (47.187)	Prec@5 79.000 (77.714)
Epoch: [38][8950/9018]	Time 0.624 (0.630)	Data 0.001 (0.004)	Loss 1.8388 (2.0537)	Prec@1 49.500 (47.187)	Prec@5 80.500 (77.713)
Epoch: [38][8960/9018]	Time 0.617 (0.630)	Data 0.001 (0.004)	Loss 2.2219 (2.0537)	Prec@1 43.000 (47.186)	Prec@5 76.000 (77.712)
Epoch: [38][8970/9018]	Time 0.620 (0.630)	Data 0.001 (0.004)	Loss 2.0717 (2.0537)	Prec@1 46.000 (47.187)	Prec@5 74.500 (77.711)
Epoch: [38][8980/9018]	Time 0.621 (0.630)	Data 0.001 (0.004)	Loss 1.9426 (2.0537)	Prec@1 48.500 (47.188)	Prec@5 78.000 (77.712)
Epoch: [38][8990/9018]	Time 0.626 (0.630)	Data 0.001 (0.004)	Loss 1.9982 (2.0537)	Prec@1 51.500 (47.187)	Prec@5 77.500 (77.711)
Epoch: [38][9000/9018]	Time 0.619 (0.630)	Data 0.001 (0.004)	Loss 2.0683 (2.0537)	Prec@1 45.500 (47.187)	Prec@5 78.000 (77.711)
Epoch: [38][9010/9018]	Time 0.616 (0.630)	Data 0.000 (0.004)	Loss 1.8698 (2.0537)	Prec@1 54.000 (47.187)	Prec@5 82.000 (77.710)
Test: [0/183]	Time 1.912 (1.912)	Loss 2.6408 (2.6408)	Prec@1 31.000 (31.000)	Prec@5 66.000 (66.000)
Test: [10/183]	Time 0.191 (0.361)	Loss 1.6157 (1.7567)	Prec@1 58.000 (54.500)	Prec@5 83.000 (82.500)
Test: [20/183]	Time 0.190 (0.283)	Loss 1.9684 (1.7399)	Prec@1 47.000 (54.548)	Prec@5 80.000 (82.667)
Test: [30/183]	Time 0.192 (0.253)	Loss 2.3580 (1.7357)	Prec@1 31.500 (53.984)	Prec@5 74.500 (83.371)
Test: [40/183]	Time 0.192 (0.240)	Loss 2.2015 (1.7253)	Prec@1 38.500 (54.476)	Prec@5 80.500 (83.159)
Test: [50/183]	Time 0.250 (0.232)	Loss 1.4733 (1.6956)	Prec@1 55.000 (55.020)	Prec@5 91.500 (83.637)
Test: [60/183]	Time 0.185 (0.225)	Loss 1.9920 (1.7672)	Prec@1 51.000 (52.820)	Prec@5 79.000 (82.787)
Test: [70/183]	Time 0.188 (0.221)	Loss 1.6390 (1.7578)	Prec@1 56.000 (52.887)	Prec@5 86.000 (83.169)
Test: [80/183]	Time 0.184 (0.218)	Loss 1.5238 (1.7438)	Prec@1 52.500 (52.870)	Prec@5 93.000 (83.364)
Test: [90/183]	Time 0.202 (0.215)	Loss 2.2159 (1.7372)	Prec@1 44.500 (53.154)	Prec@5 77.000 (83.429)
Test: [100/183]	Time 0.251 (0.214)	Loss 0.7479 (1.7327)	Prec@1 75.500 (53.193)	Prec@5 96.000 (83.564)
Test: [110/183]	Time 0.190 (0.212)	Loss 0.8081 (1.7357)	Prec@1 77.500 (53.077)	Prec@5 98.000 (83.482)
Test: [120/183]	Time 0.192 (0.211)	Loss 2.3209 (1.7461)	Prec@1 41.000 (52.777)	Prec@5 72.500 (83.360)
Test: [130/183]	Time 0.196 (0.210)	Loss 3.1889 (1.7575)	Prec@1 17.000 (52.424)	Prec@5 65.000 (83.424)
Test: [140/183]	Time 0.204 (0.209)	Loss 1.5751 (1.7526)	Prec@1 61.500 (52.656)	Prec@5 87.500 (83.592)
Test: [150/183]	Time 0.246 (0.208)	Loss 0.9489 (1.7557)	Prec@1 70.000 (52.626)	Prec@5 97.500 (83.573)
Test: [160/183]	Time 0.195 (0.207)	Loss 1.6102 (1.7550)	Prec@1 49.500 (52.689)	Prec@5 85.000 (83.590)
Test: [170/183]	Time 0.200 (0.207)	Loss 2.4292 (1.7695)	Prec@1 28.000 (52.322)	Prec@5 78.000 (83.389)
Test: [180/183]	Time 0.183 (0.206)	Loss 1.8603 (1.7748)	Prec@1 56.000 (52.315)	Prec@5 82.500 (83.246)
 * Prec@1 52.329 Prec@5 83.263
Epoch: [39][0/9018]	Time 3.358 (3.358)	Data 2.574 (2.574)	Loss 2.0882 (2.0882)	Prec@1 43.000 (43.000)	Prec@5 78.500 (78.500)
Epoch: [39][10/9018]	Time 0.620 (0.870)	Data 0.001 (0.235)	Loss 2.1615 (2.0739)	Prec@1 46.000 (47.909)	Prec@5 77.500 (77.045)
Epoch: [39][20/9018]	Time 0.622 (0.758)	Data 0.001 (0.123)	Loss 2.1242 (2.0543)	Prec@1 48.000 (47.619)	Prec@5 75.500 (77.167)
Epoch: [39][30/9018]	Time 0.618 (0.715)	Data 0.001 (0.084)	Loss 1.8774 (2.0525)	Prec@1 52.000 (47.468)	Prec@5 82.500 (77.210)
Epoch: [39][40/9018]	Time 0.614 (0.695)	Data 0.001 (0.064)	Loss 1.9056 (2.0529)	Prec@1 52.000 (47.683)	Prec@5 81.500 (77.378)
Epoch: [39][50/9018]	Time 0.613 (0.683)	Data 0.001 (0.051)	Loss 2.2628 (2.0457)	Prec@1 40.500 (47.667)	Prec@5 73.000 (77.706)
Epoch: [39][60/9018]	Time 0.616 (0.673)	Data 0.001 (0.043)	Loss 1.9994 (2.0414)	Prec@1 47.000 (47.615)	Prec@5 79.500 (78.000)
Epoch: [39][70/9018]	Time 0.621 (0.668)	Data 0.001 (0.037)	Loss 2.1089 (2.0374)	Prec@1 45.000 (47.486)	Prec@5 78.500 (78.232)
Epoch: [39][80/9018]	Time 0.617 (0.662)	Data 0.001 (0.033)	Loss 2.0958 (2.0408)	Prec@1 46.000 (47.494)	Prec@5 78.500 (78.136)
Epoch: [39][90/9018]	Time 0.619 (0.659)	Data 0.001 (0.029)	Loss 1.8793 (2.0428)	Prec@1 50.000 (47.291)	Prec@5 82.000 (78.099)
Epoch: [39][100/9018]	Time 0.614 (0.656)	Data 0.001 (0.026)	Loss 1.9984 (2.0410)	Prec@1 52.000 (47.396)	Prec@5 79.500 (78.050)
Epoch: [39][110/9018]	Time 0.622 (0.653)	Data 0.001 (0.024)	Loss 2.1463 (2.0382)	Prec@1 49.000 (47.383)	Prec@5 74.000 (78.099)
Epoch: [39][120/9018]	Time 0.627 (0.652)	Data 0.001 (0.022)	Loss 1.8071 (2.0334)	Prec@1 54.000 (47.496)	Prec@5 81.000 (78.161)
Epoch: [39][130/9018]	Time 0.623 (0.650)	Data 0.001 (0.020)	Loss 2.0513 (2.0359)	Prec@1 46.500 (47.366)	Prec@5 78.500 (78.057)
Epoch: [39][140/9018]	Time 0.633 (0.649)	Data 0.001 (0.019)	Loss 1.8978 (2.0330)	Prec@1 54.000 (47.525)	Prec@5 80.000 (78.113)
Epoch: [39][150/9018]	Time 0.621 (0.648)	Data 0.001 (0.018)	Loss 1.9339 (2.0338)	Prec@1 51.500 (47.543)	Prec@5 77.000 (78.070)
Epoch: [39][160/9018]	Time 0.624 (0.646)	Data 0.001 (0.017)	Loss 2.0456 (2.0296)	Prec@1 43.500 (47.472)	Prec@5 80.000 (78.177)
Epoch: [39][170/9018]	Time 0.627 (0.645)	Data 0.001 (0.016)	Loss 1.7371 (2.0297)	Prec@1 54.000 (47.462)	Prec@5 85.000 (78.287)
Epoch: [39][180/9018]	Time 0.622 (0.644)	Data 0.001 (0.015)	Loss 2.1254 (2.0283)	Prec@1 46.000 (47.514)	Prec@5 76.000 (78.290)
Epoch: [39][190/9018]	Time 0.627 (0.643)	Data 0.001 (0.014)	Loss 1.9785 (2.0304)	Prec@1 52.500 (47.513)	Prec@5 77.000 (78.204)
Epoch: [39][200/9018]	Time 0.621 (0.643)	Data 0.001 (0.014)	Loss 2.1241 (2.0314)	Prec@1 44.000 (47.490)	Prec@5 77.500 (78.147)
Epoch: [39][210/9018]	Time 0.619 (0.642)	Data 0.001 (0.013)	Loss 1.9821 (2.0305)	Prec@1 47.500 (47.536)	Prec@5 79.000 (78.152)
Epoch: [39][220/9018]	Time 0.629 (0.642)	Data 0.001 (0.012)	Loss 2.1737 (2.0301)	Prec@1 44.000 (47.570)	Prec@5 74.000 (78.122)
Epoch: [39][230/9018]	Time 0.619 (0.641)	Data 0.001 (0.012)	Loss 2.0249 (2.0325)	Prec@1 51.000 (47.589)	Prec@5 78.000 (78.115)
Epoch: [39][240/9018]	Time 0.617 (0.641)	Data 0.001 (0.011)	Loss 2.0801 (2.0340)	Prec@1 42.500 (47.508)	Prec@5 80.500 (78.102)
Epoch: [39][250/9018]	Time 0.626 (0.640)	Data 0.001 (0.011)	Loss 1.9770 (2.0323)	Prec@1 49.500 (47.592)	Prec@5 75.500 (78.139)
Epoch: [39][260/9018]	Time 0.617 (0.640)	Data 0.001 (0.011)	Loss 2.0125 (2.0340)	Prec@1 45.500 (47.554)	Prec@5 78.500 (78.107)
Epoch: [39][270/9018]	Time 0.621 (0.639)	Data 0.001 (0.010)	Loss 1.9835 (2.0340)	Prec@1 50.500 (47.544)	Prec@5 76.500 (78.100)
Epoch: [39][280/9018]	Time 0.750 (0.639)	Data 0.001 (0.010)	Loss 2.1246 (2.0361)	Prec@1 46.000 (47.512)	Prec@5 76.500 (78.057)
Epoch: [39][290/9018]	Time 0.621 (0.639)	Data 0.001 (0.010)	Loss 2.0969 (2.0366)	Prec@1 44.500 (47.491)	Prec@5 75.500 (78.040)
Epoch: [39][300/9018]	Time 0.618 (0.639)	Data 0.001 (0.009)	Loss 1.9932 (2.0357)	Prec@1 46.000 (47.475)	Prec@5 80.000 (78.085)
Epoch: [39][310/9018]	Time 0.622 (0.638)	Data 0.001 (0.009)	Loss 2.0336 (2.0345)	Prec@1 47.000 (47.449)	Prec@5 78.000 (78.103)
Epoch: [39][320/9018]	Time 0.624 (0.638)	Data 0.001 (0.009)	Loss 1.7803 (2.0342)	Prec@1 53.000 (47.460)	Prec@5 82.500 (78.125)
Epoch: [39][330/9018]	Time 0.742 (0.638)	Data 0.001 (0.009)	Loss 1.9815 (2.0344)	Prec@1 45.500 (47.477)	Prec@5 79.500 (78.115)
Epoch: [39][340/9018]	Time 0.624 (0.637)	Data 0.001 (0.008)	Loss 2.0452 (2.0351)	Prec@1 47.000 (47.435)	Prec@5 79.500 (78.132)
Epoch: [39][350/9018]	Time 0.622 (0.637)	Data 0.001 (0.008)	Loss 1.8803 (2.0334)	Prec@1 54.000 (47.479)	Prec@5 80.500 (78.155)
Epoch: [39][360/9018]	Time 0.623 (0.637)	Data 0.001 (0.008)	Loss 1.9239 (2.0347)	Prec@1 52.000 (47.449)	Prec@5 79.000 (78.136)
Epoch: [39][370/9018]	Time 0.623 (0.637)	Data 0.001 (0.008)	Loss 1.9269 (2.0344)	Prec@1 47.000 (47.434)	Prec@5 80.500 (78.137)
Epoch: [39][380/9018]	Time 0.614 (0.637)	Data 0.001 (0.008)	Loss 1.9616 (2.0344)	Prec@1 51.000 (47.429)	Prec@5 79.500 (78.140)
Epoch: [39][390/9018]	Time 0.625 (0.636)	Data 0.001 (0.007)	Loss 2.0285 (2.0345)	Prec@1 51.000 (47.457)	Prec@5 76.500 (78.120)
Epoch: [39][400/9018]	Time 0.626 (0.636)	Data 0.001 (0.007)	Loss 2.1229 (2.0362)	Prec@1 43.500 (47.397)	Prec@5 79.500 (78.085)
Epoch: [39][410/9018]	Time 0.640 (0.636)	Data 0.001 (0.007)	Loss 1.9361 (2.0357)	Prec@1 52.000 (47.399)	Prec@5 78.500 (78.084)
Epoch: [39][420/9018]	Time 0.632 (0.636)	Data 0.001 (0.007)	Loss 2.1927 (2.0355)	Prec@1 46.500 (47.407)	Prec@5 75.000 (78.088)
Epoch: [39][430/9018]	Time 0.616 (0.636)	Data 0.001 (0.007)	Loss 1.8794 (2.0340)	Prec@1 50.000 (47.451)	Prec@5 80.000 (78.122)
Epoch: [39][440/9018]	Time 0.615 (0.636)	Data 0.001 (0.007)	Loss 2.1165 (2.0338)	Prec@1 42.500 (47.421)	Prec@5 73.500 (78.127)
Epoch: [39][450/9018]	Time 0.611 (0.636)	Data 0.001 (0.006)	Loss 2.0965 (2.0345)	Prec@1 46.000 (47.412)	Prec@5 78.000 (78.113)
Epoch: [39][460/9018]	Time 0.623 (0.635)	Data 0.001 (0.006)	Loss 2.0835 (2.0352)	Prec@1 46.000 (47.375)	Prec@5 78.000 (78.106)
Epoch: [39][470/9018]	Time 0.622 (0.635)	Data 0.001 (0.006)	Loss 2.2703 (2.0363)	Prec@1 44.500 (47.325)	Prec@5 72.500 (78.109)
Epoch: [39][480/9018]	Time 0.627 (0.635)	Data 0.001 (0.006)	Loss 2.0678 (2.0357)	Prec@1 49.500 (47.369)	Prec@5 78.500 (78.121)
Epoch: [39][490/9018]	Time 0.629 (0.635)	Data 0.001 (0.006)	Loss 2.1152 (2.0371)	Prec@1 43.500 (47.330)	Prec@5 78.000 (78.102)
Epoch: [39][500/9018]	Time 0.621 (0.635)	Data 0.001 (0.006)	Loss 2.1214 (2.0376)	Prec@1 44.000 (47.343)	Prec@5 76.000 (78.083)
Epoch: [39][510/9018]	Time 0.621 (0.635)	Data 0.001 (0.006)	Loss 2.0129 (2.0380)	Prec@1 47.000 (47.337)	Prec@5 78.500 (78.083)
Epoch: [39][520/9018]	Time 0.624 (0.635)	Data 0.001 (0.006)	Loss 1.9815 (2.0367)	Prec@1 48.500 (47.367)	Prec@5 79.500 (78.112)
Epoch: [39][530/9018]	Time 0.619 (0.635)	Data 0.001 (0.006)	Loss 1.8963 (2.0383)	Prec@1 52.500 (47.342)	Prec@5 79.500 (78.087)
Epoch: [39][540/9018]	Time 0.618 (0.635)	Data 0.001 (0.006)	Loss 2.1755 (2.0380)	Prec@1 45.500 (47.335)	Prec@5 72.500 (78.079)
Epoch: [39][550/9018]	Time 0.623 (0.635)	Data 0.001 (0.005)	Loss 1.7799 (2.0378)	Prec@1 54.500 (47.355)	Prec@5 84.000 (78.096)
Epoch: [39][560/9018]	Time 0.612 (0.634)	Data 0.001 (0.005)	Loss 2.0991 (2.0383)	Prec@1 47.000 (47.343)	Prec@5 75.000 (78.089)
Epoch: [39][570/9018]	Time 0.620 (0.634)	Data 0.001 (0.005)	Loss 1.8997 (2.0379)	Prec@1 50.500 (47.365)	Prec@5 77.000 (78.087)
Epoch: [39][580/9018]	Time 0.631 (0.634)	Data 0.001 (0.005)	Loss 1.8588 (2.0373)	Prec@1 56.000 (47.383)	Prec@5 79.000 (78.096)
Epoch: [39][590/9018]	Time 0.622 (0.634)	Data 0.001 (0.005)	Loss 1.9053 (2.0371)	Prec@1 48.500 (47.367)	Prec@5 80.500 (78.096)
Epoch: [39][600/9018]	Time 0.619 (0.634)	Data 0.001 (0.005)	Loss 1.9008 (2.0371)	Prec@1 49.500 (47.364)	Prec@5 81.000 (78.087)
Epoch: [39][610/9018]	Time 0.738 (0.634)	Data 0.001 (0.005)	Loss 1.9263 (2.0371)	Prec@1 52.000 (47.368)	Prec@5 78.000 (78.079)
Epoch: [39][620/9018]	Time 0.617 (0.634)	Data 0.001 (0.005)	Loss 2.1743 (2.0368)	Prec@1 38.500 (47.372)	Prec@5 76.500 (78.076)
Epoch: [39][630/9018]	Time 0.627 (0.634)	Data 0.001 (0.005)	Loss 2.1190 (2.0374)	Prec@1 42.000 (47.364)	Prec@5 74.500 (78.059)
Epoch: [39][640/9018]	Time 0.629 (0.634)	Data 0.001 (0.005)	Loss 1.8584 (2.0370)	Prec@1 45.500 (47.389)	Prec@5 83.500 (78.062)
Epoch: [39][650/9018]	Time 0.626 (0.634)	Data 0.001 (0.005)	Loss 2.1820 (2.0369)	Prec@1 41.000 (47.395)	Prec@5 78.000 (78.066)
Epoch: [39][660/9018]	Time 0.753 (0.634)	Data 0.001 (0.005)	Loss 2.0026 (2.0365)	Prec@1 49.500 (47.418)	Prec@5 81.000 (78.081)
Epoch: [39][670/9018]	Time 0.620 (0.633)	Data 0.001 (0.005)	Loss 1.9149 (2.0374)	Prec@1 48.000 (47.395)	Prec@5 81.000 (78.058)
Epoch: [39][680/9018]	Time 0.623 (0.633)	Data 0.001 (0.005)	Loss 2.1506 (2.0381)	Prec@1 47.500 (47.383)	Prec@5 72.000 (78.023)
Epoch: [39][690/9018]	Time 0.619 (0.633)	Data 0.001 (0.004)	Loss 2.1312 (2.0382)	Prec@1 43.500 (47.369)	Prec@5 77.000 (78.023)
Epoch: [39][700/9018]	Time 0.622 (0.633)	Data 0.001 (0.004)	Loss 2.1546 (2.0392)	Prec@1 43.000 (47.355)	Prec@5 75.000 (78.001)
Epoch: [39][710/9018]	Time 0.611 (0.633)	Data 0.001 (0.004)	Loss 1.7144 (2.0397)	Prec@1 55.000 (47.352)	Prec@5 86.500 (78.008)
Epoch: [39][720/9018]	Time 0.618 (0.633)	Data 0.001 (0.004)	Loss 2.0206 (2.0400)	Prec@1 44.500 (47.345)	Prec@5 75.500 (77.997)
Epoch: [39][730/9018]	Time 0.615 (0.633)	Data 0.001 (0.004)	Loss 2.1167 (2.0401)	Prec@1 48.500 (47.346)	Prec@5 76.500 (77.989)
Epoch: [39][740/9018]	Time 0.616 (0.633)	Data 0.001 (0.004)	Loss 2.1746 (2.0402)	Prec@1 41.500 (47.329)	Prec@5 77.500 (77.994)
Epoch: [39][750/9018]	Time 0.616 (0.633)	Data 0.001 (0.004)	Loss 2.2399 (2.0407)	Prec@1 44.000 (47.327)	Prec@5 72.500 (77.979)
Epoch: [39][760/9018]	Time 0.617 (0.633)	Data 0.001 (0.004)	Loss 2.0900 (2.0403)	Prec@1 44.000 (47.348)	Prec@5 78.000 (77.986)
Epoch: [39][770/9018]	Time 0.623 (0.633)	Data 0.001 (0.004)	Loss 1.9147 (2.0401)	Prec@1 46.000 (47.351)	Prec@5 82.500 (77.995)
Epoch: [39][780/9018]	Time 0.643 (0.633)	Data 0.001 (0.004)	Loss 1.9774 (2.0395)	Prec@1 46.500 (47.357)	Prec@5 80.500 (78.010)
Epoch: [39][790/9018]	Time 0.620 (0.633)	Data 0.001 (0.004)	Loss 1.9877 (2.0394)	Prec@1 51.000 (47.365)	Prec@5 80.000 (78.018)
Epoch: [39][800/9018]	Time 0.621 (0.633)	Data 0.001 (0.004)	Loss 1.9303 (2.0391)	Prec@1 48.500 (47.368)	Prec@5 80.000 (78.012)
Epoch: [39][810/9018]	Time 0.621 (0.633)	Data 0.001 (0.004)	Loss 1.8043 (2.0397)	Prec@1 55.000 (47.369)	Prec@5 80.500 (77.991)
Epoch: [39][820/9018]	Time 0.625 (0.632)	Data 0.001 (0.004)	Loss 1.9796 (2.0397)	Prec@1 47.000 (47.373)	Prec@5 76.500 (77.976)
Epoch: [39][830/9018]	Time 0.621 (0.632)	Data 0.001 (0.004)	Loss 1.9801 (2.0401)	Prec@1 46.500 (47.360)	Prec@5 79.500 (77.959)
Epoch: [39][840/9018]	Time 0.627 (0.632)	Data 0.001 (0.004)	Loss 2.1747 (2.0411)	Prec@1 44.500 (47.353)	Prec@5 79.000 (77.938)
Epoch: [39][850/9018]	Time 0.621 (0.632)	Data 0.001 (0.004)	Loss 1.9857 (2.0402)	Prec@1 47.500 (47.373)	Prec@5 79.000 (77.962)
Epoch: [39][860/9018]	Time 0.622 (0.632)	Data 0.001 (0.004)	Loss 2.0697 (2.0398)	Prec@1 45.000 (47.396)	Prec@5 80.000 (77.958)
Epoch: [39][870/9018]	Time 0.620 (0.632)	Data 0.001 (0.004)	Loss 1.9706 (2.0395)	Prec@1 45.500 (47.382)	Prec@5 77.000 (77.954)
Epoch: [39][880/9018]	Time 0.616 (0.632)	Data 0.001 (0.004)	Loss 2.0809 (2.0389)	Prec@1 47.000 (47.405)	Prec@5 75.000 (77.963)
Epoch: [39][890/9018]	Time 0.615 (0.632)	Data 0.001 (0.004)	Loss 1.8473 (2.0386)	Prec@1 55.500 (47.417)	Prec@5 80.500 (77.968)
Epoch: [39][900/9018]	Time 0.623 (0.632)	Data 0.001 (0.004)	Loss 2.1394 (2.0387)	Prec@1 45.000 (47.415)	Prec@5 76.000 (77.964)
Epoch: [39][910/9018]	Time 0.618 (0.632)	Data 0.001 (0.004)	Loss 1.9991 (2.0396)	Prec@1 47.000 (47.389)	Prec@5 79.500 (77.955)
Epoch: [39][920/9018]	Time 0.625 (0.632)	Data 0.001 (0.004)	Loss 1.7051 (2.0397)	Prec@1 51.500 (47.380)	Prec@5 85.500 (77.963)
Epoch: [39][930/9018]	Time 0.615 (0.632)	Data 0.001 (0.004)	Loss 2.1912 (2.0399)	Prec@1 45.000 (47.393)	Prec@5 78.000 (77.958)
Epoch: [39][940/9018]	Time 0.739 (0.632)	Data 0.001 (0.004)	Loss 2.0222 (2.0400)	Prec@1 45.000 (47.383)	Prec@5 76.500 (77.960)
Epoch: [39][950/9018]	Time 0.621 (0.632)	Data 0.001 (0.003)	Loss 1.9286 (2.0396)	Prec@1 50.000 (47.395)	Prec@5 80.500 (77.969)
Epoch: [39][960/9018]	Time 0.622 (0.632)	Data 0.001 (0.003)	Loss 2.1987 (2.0394)	Prec@1 49.000 (47.408)	Prec@5 78.500 (77.977)
Epoch: [39][970/9018]	Time 0.641 (0.632)	Data 0.001 (0.003)	Loss 1.9587 (2.0393)	Prec@1 53.500 (47.417)	Prec@5 79.000 (77.987)
Epoch: [39][980/9018]	Time 0.619 (0.632)	Data 0.001 (0.003)	Loss 2.2510 (2.0399)	Prec@1 42.500 (47.413)	Prec@5 74.000 (77.983)
Epoch: [39][990/9018]	Time 0.742 (0.632)	Data 0.001 (0.003)	Loss 2.0601 (2.0401)	Prec@1 50.000 (47.412)	Prec@5 79.500 (77.981)
Epoch: [39][1000/9018]	Time 0.624 (0.632)	Data 0.001 (0.003)	Loss 1.8973 (2.0397)	Prec@1 49.500 (47.425)	Prec@5 80.000 (77.989)
Epoch: [39][1010/9018]	Time 0.620 (0.632)	Data 0.001 (0.003)	Loss 1.9827 (2.0389)	Prec@1 47.500 (47.437)	Prec@5 79.500 (78.001)
Epoch: [39][1020/9018]	Time 0.623 (0.632)	Data 0.001 (0.003)	Loss 2.2072 (2.0390)	Prec@1 42.500 (47.433)	Prec@5 74.500 (77.998)
Epoch: [39][1030/9018]	Time 0.621 (0.632)	Data 0.001 (0.003)	Loss 2.1970 (2.0388)	Prec@1 44.500 (47.427)	Prec@5 72.500 (77.999)
Epoch: [39][1040/9018]	Time 0.632 (0.632)	Data 0.001 (0.003)	Loss 2.0575 (2.0390)	Prec@1 45.500 (47.430)	Prec@5 79.000 (77.990)
Epoch: [39][1050/9018]	Time 0.622 (0.632)	Data 0.001 (0.003)	Loss 2.2345 (2.0394)	Prec@1 46.000 (47.434)	Prec@5 71.500 (77.977)
Epoch: [39][1060/9018]	Time 0.623 (0.632)	Data 0.001 (0.003)	Loss 1.9476 (2.0391)	Prec@1 54.000 (47.433)	Prec@5 79.500 (77.985)
Epoch: [39][1070/9018]	Time 0.622 (0.632)	Data 0.001 (0.003)	Loss 1.9987 (2.0394)	Prec@1 47.500 (47.419)	Prec@5 78.000 (77.985)
Epoch: [39][1080/9018]	Time 0.613 (0.632)	Data 0.001 (0.003)	Loss 2.0092 (2.0398)	Prec@1 48.500 (47.408)	Prec@5 77.500 (77.975)
Epoch: [39][1090/9018]	Time 0.611 (0.632)	Data 0.001 (0.003)	Loss 2.0631 (2.0407)	Prec@1 49.000 (47.383)	Prec@5 75.500 (77.961)
Epoch: [39][1100/9018]	Time 0.614 (0.631)	Data 0.001 (0.003)	Loss 1.9975 (2.0407)	Prec@1 46.000 (47.395)	Prec@5 81.500 (77.960)
Epoch: [39][1110/9018]	Time 0.614 (0.632)	Data 0.001 (0.003)	Loss 2.0705 (2.0408)	Prec@1 45.500 (47.406)	Prec@5 76.500 (77.950)
Epoch: [39][1120/9018]	Time 0.620 (0.631)	Data 0.001 (0.003)	Loss 1.8071 (2.0410)	Prec@1 49.500 (47.397)	Prec@5 80.000 (77.957)
Epoch: [39][1130/9018]	Time 0.616 (0.631)	Data 0.001 (0.003)	Loss 1.8964 (2.0410)	Prec@1 51.000 (47.398)	Prec@5 79.000 (77.965)
Epoch: [39][1140/9018]	Time 0.618 (0.631)	Data 0.001 (0.003)	Loss 2.0292 (2.0413)	Prec@1 45.000 (47.394)	Prec@5 80.000 (77.958)
Epoch: [39][1150/9018]	Time 0.626 (0.631)	Data 0.001 (0.003)	Loss 2.2191 (2.0407)	Prec@1 45.500 (47.405)	Prec@5 74.000 (77.970)
Epoch: [39][1160/9018]	Time 0.616 (0.631)	Data 0.001 (0.003)	Loss 1.8682 (2.0408)	Prec@1 52.000 (47.419)	Prec@5 82.500 (77.971)
Epoch: [39][1170/9018]	Time 0.620 (0.631)	Data 0.001 (0.003)	Loss 1.8379 (2.0397)	Prec@1 54.000 (47.435)	Prec@5 81.500 (77.989)
Epoch: [39][1180/9018]	Time 0.631 (0.631)	Data 0.001 (0.003)	Loss 2.0260 (2.0395)	Prec@1 46.500 (47.437)	Prec@5 77.500 (77.992)
Epoch: [39][1190/9018]	Time 0.620 (0.631)	Data 0.001 (0.003)	Loss 2.0028 (2.0389)	Prec@1 49.500 (47.443)	Prec@5 79.500 (77.999)
Epoch: [39][1200/9018]	Time 0.623 (0.631)	Data 0.001 (0.003)	Loss 1.9263 (2.0387)	Prec@1 48.500 (47.451)	Prec@5 81.500 (78.001)
Epoch: [39][1210/9018]	Time 0.624 (0.631)	Data 0.001 (0.003)	Loss 1.9828 (2.0383)	Prec@1 45.500 (47.457)	Prec@5 80.000 (78.006)
Epoch: [39][1220/9018]	Time 0.623 (0.631)	Data 0.001 (0.003)	Loss 1.9208 (2.0381)	Prec@1 52.500 (47.459)	Prec@5 80.000 (78.019)
Epoch: [39][1230/9018]	Time 0.620 (0.631)	Data 0.001 (0.003)	Loss 1.8971 (2.0381)	Prec@1 50.500 (47.465)	Prec@5 78.000 (78.017)
Epoch: [39][1240/9018]	Time 0.617 (0.631)	Data 0.001 (0.003)	Loss 2.1561 (2.0384)	Prec@1 51.000 (47.469)	Prec@5 78.000 (78.016)
Epoch: [39][1250/9018]	Time 0.627 (0.631)	Data 0.001 (0.003)	Loss 2.0848 (2.0378)	Prec@1 48.500 (47.490)	Prec@5 78.500 (78.026)
Epoch: [39][1260/9018]	Time 0.619 (0.631)	Data 0.001 (0.003)	Loss 2.0443 (2.0380)	Prec@1 50.500 (47.492)	Prec@5 76.500 (78.026)
Epoch: [39][1270/9018]	Time 0.729 (0.631)	Data 0.001 (0.003)	Loss 2.1315 (2.0378)	Prec@1 45.500 (47.491)	Prec@5 76.000 (78.028)
Epoch: [39][1280/9018]	Time 0.617 (0.631)	Data 0.001 (0.003)	Loss 2.2200 (2.0383)	Prec@1 43.000 (47.472)	Prec@5 75.000 (78.026)
Epoch: [39][1290/9018]	Time 0.619 (0.631)	Data 0.001 (0.003)	Loss 1.9598 (2.0382)	Prec@1 48.000 (47.474)	Prec@5 77.500 (78.022)
Epoch: [39][1300/9018]	Time 0.625 (0.631)	Data 0.001 (0.003)	Loss 2.0463 (2.0381)	Prec@1 46.000 (47.474)	Prec@5 77.000 (78.025)
Epoch: [39][1310/9018]	Time 0.626 (0.631)	Data 0.001 (0.003)	Loss 1.9577 (2.0385)	Prec@1 49.500 (47.470)	Prec@5 80.000 (78.015)
Epoch: [39][1320/9018]	Time 0.740 (0.631)	Data 0.001 (0.003)	Loss 2.1852 (2.0385)	Prec@1 45.500 (47.471)	Prec@5 70.500 (78.006)
Epoch: [39][1330/9018]	Time 0.614 (0.631)	Data 0.001 (0.003)	Loss 1.9003 (2.0383)	Prec@1 50.500 (47.474)	Prec@5 84.500 (78.011)
Epoch: [39][1340/9018]	Time 0.630 (0.631)	Data 0.001 (0.003)	Loss 1.9166 (2.0383)	Prec@1 51.000 (47.472)	Prec@5 82.000 (78.009)
Epoch: [39][1350/9018]	Time 0.614 (0.631)	Data 0.001 (0.003)	Loss 2.3793 (2.0391)	Prec@1 40.000 (47.457)	Prec@5 73.500 (78.002)
Epoch: [39][1360/9018]	Time 0.627 (0.631)	Data 0.001 (0.003)	Loss 2.1180 (2.0392)	Prec@1 43.000 (47.447)	Prec@5 75.000 (77.994)
Epoch: [39][1370/9018]	Time 0.617 (0.631)	Data 0.001 (0.003)	Loss 2.1717 (2.0390)	Prec@1 43.500 (47.450)	Prec@5 78.000 (77.999)
Epoch: [39][1380/9018]	Time 0.617 (0.631)	Data 0.001 (0.003)	Loss 2.0128 (2.0392)	Prec@1 48.000 (47.445)	Prec@5 80.500 (77.999)
Epoch: [39][1390/9018]	Time 0.608 (0.631)	Data 0.001 (0.003)	Loss 2.0214 (2.0397)	Prec@1 45.000 (47.436)	Prec@5 78.500 (77.994)
Epoch: [39][1400/9018]	Time 0.641 (0.631)	Data 0.001 (0.003)	Loss 2.1284 (2.0398)	Prec@1 39.500 (47.421)	Prec@5 77.500 (77.995)
Epoch: [39][1410/9018]	Time 0.634 (0.631)	Data 0.001 (0.003)	Loss 2.1997 (2.0394)	Prec@1 39.500 (47.428)	Prec@5 79.500 (78.000)
Epoch: [39][1420/9018]	Time 0.610 (0.631)	Data 0.001 (0.003)	Loss 2.0596 (2.0399)	Prec@1 48.000 (47.410)	Prec@5 77.500 (77.995)
Epoch: [39][1430/9018]	Time 0.619 (0.631)	Data 0.001 (0.003)	Loss 1.9696 (2.0399)	Prec@1 48.500 (47.408)	Prec@5 78.500 (77.993)
Epoch: [39][1440/9018]	Time 0.618 (0.631)	Data 0.001 (0.003)	Loss 2.0132 (2.0399)	Prec@1 49.500 (47.399)	Prec@5 81.000 (77.991)
Epoch: [39][1450/9018]	Time 0.627 (0.631)	Data 0.001 (0.003)	Loss 1.8886 (2.0398)	Prec@1 53.000 (47.404)	Prec@5 81.500 (77.999)
Epoch: [39][1460/9018]	Time 0.619 (0.631)	Data 0.001 (0.003)	Loss 2.0752 (2.0399)	Prec@1 45.500 (47.401)	Prec@5 77.000 (77.995)
Epoch: [39][1470/9018]	Time 0.618 (0.631)	Data 0.001 (0.003)	Loss 2.1067 (2.0403)	Prec@1 48.000 (47.390)	Prec@5 75.000 (77.978)
Epoch: [39][1480/9018]	Time 0.620 (0.631)	Data 0.001 (0.003)	Loss 2.0940 (2.0407)	Prec@1 46.500 (47.391)	Prec@5 75.500 (77.968)
Epoch: [39][1490/9018]	Time 0.621 (0.631)	Data 0.001 (0.002)	Loss 2.0255 (2.0406)	Prec@1 45.000 (47.387)	Prec@5 78.000 (77.974)
Epoch: [39][1500/9018]	Time 0.624 (0.631)	Data 0.001 (0.002)	Loss 2.1139 (2.0408)	Prec@1 41.500 (47.388)	Prec@5 76.000 (77.974)
Epoch: [39][1510/9018]	Time 0.620 (0.631)	Data 0.001 (0.002)	Loss 1.8425 (2.0406)	Prec@1 49.500 (47.385)	Prec@5 82.500 (77.978)
Epoch: [39][1520/9018]	Time 0.622 (0.631)	Data 0.001 (0.002)	Loss 2.1263 (2.0409)	Prec@1 41.000 (47.373)	Prec@5 76.500 (77.971)
Epoch: [39][1530/9018]	Time 0.601 (0.631)	Data 0.001 (0.002)	Loss 1.9151 (2.0408)	Prec@1 49.500 (47.375)	Prec@5 77.500 (77.978)
Epoch: [39][1540/9018]	Time 0.625 (0.631)	Data 0.001 (0.002)	Loss 1.7096 (2.0408)	Prec@1 55.500 (47.370)	Prec@5 81.000 (77.975)
Epoch: [39][1550/9018]	Time 0.620 (0.631)	Data 0.001 (0.002)	Loss 2.0621 (2.0408)	Prec@1 46.500 (47.372)	Prec@5 76.000 (77.978)
Epoch: [39][1560/9018]	Time 0.621 (0.631)	Data 0.001 (0.002)	Loss 1.9551 (2.0410)	Prec@1 48.000 (47.361)	Prec@5 80.000 (77.979)
Epoch: [39][1570/9018]	Time 0.631 (0.631)	Data 0.001 (0.002)	Loss 1.9732 (2.0410)	Prec@1 53.500 (47.374)	Prec@5 79.500 (77.981)
Epoch: [39][1580/9018]	Time 0.618 (0.631)	Data 0.001 (0.002)	Loss 1.9945 (2.0409)	Prec@1 50.500 (47.383)	Prec@5 75.500 (77.985)
Epoch: [39][1590/9018]	Time 0.620 (0.631)	Data 0.001 (0.002)	Loss 1.9997 (2.0411)	Prec@1 48.000 (47.372)	Prec@5 76.000 (77.978)
Epoch: [39][1600/9018]	Time 0.736 (0.631)	Data 0.001 (0.002)	Loss 2.1767 (2.0414)	Prec@1 46.500 (47.364)	Prec@5 72.000 (77.971)
Epoch: [39][1610/9018]	Time 0.627 (0.631)	Data 0.001 (0.002)	Loss 2.0302 (2.0410)	Prec@1 46.500 (47.370)	Prec@5 80.500 (77.972)
Epoch: [39][1620/9018]	Time 0.622 (0.631)	Data 0.001 (0.002)	Loss 2.0111 (2.0412)	Prec@1 45.500 (47.363)	Prec@5 79.000 (77.976)
Epoch: [39][1630/9018]	Time 0.617 (0.631)	Data 0.001 (0.002)	Loss 2.0574 (2.0412)	Prec@1 46.500 (47.367)	Prec@5 76.500 (77.975)
Epoch: [39][1640/9018]	Time 0.621 (0.631)	Data 0.001 (0.002)	Loss 2.0740 (2.0415)	Prec@1 48.500 (47.359)	Prec@5 77.000 (77.965)
Epoch: [39][1650/9018]	Time 0.739 (0.631)	Data 0.001 (0.002)	Loss 2.3535 (2.0414)	Prec@1 44.000 (47.363)	Prec@5 72.000 (77.968)
Epoch: [39][1660/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.1129 (2.0415)	Prec@1 45.500 (47.363)	Prec@5 76.000 (77.960)
Epoch: [39][1670/9018]	Time 0.622 (0.631)	Data 0.001 (0.002)	Loss 1.9429 (2.0415)	Prec@1 52.000 (47.362)	Prec@5 79.000 (77.959)
Epoch: [39][1680/9018]	Time 0.633 (0.630)	Data 0.001 (0.002)	Loss 2.0330 (2.0416)	Prec@1 49.000 (47.357)	Prec@5 80.000 (77.963)
Epoch: [39][1690/9018]	Time 0.620 (0.630)	Data 0.001 (0.002)	Loss 2.1503 (2.0411)	Prec@1 43.000 (47.363)	Prec@5 74.000 (77.974)
Epoch: [39][1700/9018]	Time 0.633 (0.630)	Data 0.001 (0.002)	Loss 2.1404 (2.0413)	Prec@1 44.500 (47.360)	Prec@5 76.500 (77.971)
Epoch: [39][1710/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 1.9336 (2.0412)	Prec@1 51.000 (47.375)	Prec@5 77.500 (77.974)
Epoch: [39][1720/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.1200 (2.0416)	Prec@1 41.500 (47.368)	Prec@5 74.500 (77.963)
Epoch: [39][1730/9018]	Time 0.630 (0.630)	Data 0.001 (0.002)	Loss 2.2852 (2.0421)	Prec@1 44.500 (47.359)	Prec@5 76.500 (77.957)
Epoch: [39][1740/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.1028 (2.0417)	Prec@1 50.500 (47.362)	Prec@5 74.500 (77.966)
Epoch: [39][1750/9018]	Time 0.619 (0.630)	Data 0.001 (0.002)	Loss 2.1676 (2.0422)	Prec@1 46.000 (47.363)	Prec@5 74.500 (77.955)
Epoch: [39][1760/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.0815 (2.0422)	Prec@1 45.000 (47.355)	Prec@5 77.000 (77.955)
Epoch: [39][1770/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.1274 (2.0418)	Prec@1 42.500 (47.361)	Prec@5 76.500 (77.964)
Epoch: [39][1780/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 2.1611 (2.0421)	Prec@1 44.000 (47.355)	Prec@5 76.000 (77.960)
Epoch: [39][1790/9018]	Time 0.617 (0.630)	Data 0.001 (0.002)	Loss 1.9520 (2.0423)	Prec@1 48.500 (47.355)	Prec@5 81.000 (77.965)
Epoch: [39][1800/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 1.9200 (2.0422)	Prec@1 49.000 (47.351)	Prec@5 78.500 (77.961)
Epoch: [39][1810/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.3975 (2.0422)	Prec@1 43.500 (47.356)	Prec@5 71.500 (77.961)
Epoch: [39][1820/9018]	Time 0.620 (0.630)	Data 0.001 (0.002)	Loss 2.0563 (2.0421)	Prec@1 44.500 (47.360)	Prec@5 81.500 (77.968)
Epoch: [39][1830/9018]	Time 0.620 (0.630)	Data 0.001 (0.002)	Loss 2.0820 (2.0423)	Prec@1 47.500 (47.360)	Prec@5 79.000 (77.963)
Epoch: [39][1840/9018]	Time 0.620 (0.630)	Data 0.001 (0.002)	Loss 2.0765 (2.0423)	Prec@1 49.000 (47.362)	Prec@5 78.500 (77.962)
Epoch: [39][1850/9018]	Time 0.610 (0.630)	Data 0.001 (0.002)	Loss 1.6927 (2.0420)	Prec@1 53.500 (47.373)	Prec@5 83.500 (77.963)
Epoch: [39][1860/9018]	Time 0.611 (0.630)	Data 0.001 (0.002)	Loss 2.1748 (2.0421)	Prec@1 44.500 (47.371)	Prec@5 77.000 (77.959)
Epoch: [39][1870/9018]	Time 0.632 (0.630)	Data 0.001 (0.002)	Loss 1.9999 (2.0418)	Prec@1 50.500 (47.375)	Prec@5 78.000 (77.965)
Epoch: [39][1880/9018]	Time 0.619 (0.630)	Data 0.001 (0.002)	Loss 2.1477 (2.0421)	Prec@1 45.000 (47.371)	Prec@5 74.000 (77.956)
Epoch: [39][1890/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.0471 (2.0422)	Prec@1 47.000 (47.368)	Prec@5 80.000 (77.952)
Epoch: [39][1900/9018]	Time 0.641 (0.630)	Data 0.001 (0.002)	Loss 2.0432 (2.0420)	Prec@1 46.500 (47.377)	Prec@5 78.000 (77.954)
Epoch: [39][1910/9018]	Time 0.618 (0.630)	Data 0.001 (0.002)	Loss 2.0578 (2.0421)	Prec@1 47.000 (47.377)	Prec@5 78.500 (77.952)
Epoch: [39][1920/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.0449 (2.0425)	Prec@1 44.500 (47.365)	Prec@5 78.000 (77.943)
Epoch: [39][1930/9018]	Time 0.741 (0.630)	Data 0.001 (0.002)	Loss 1.7730 (2.0423)	Prec@1 54.500 (47.369)	Prec@5 83.500 (77.948)
Epoch: [39][1940/9018]	Time 0.625 (0.630)	Data 0.001 (0.002)	Loss 1.8577 (2.0421)	Prec@1 50.500 (47.376)	Prec@5 80.000 (77.946)
Epoch: [39][1950/9018]	Time 0.628 (0.630)	Data 0.001 (0.002)	Loss 1.7355 (2.0421)	Prec@1 53.000 (47.381)	Prec@5 83.500 (77.952)
Epoch: [39][1960/9018]	Time 0.627 (0.630)	Data 0.001 (0.002)	Loss 2.0288 (2.0422)	Prec@1 51.000 (47.372)	Prec@5 80.000 (77.950)
Epoch: [39][1970/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.0528 (2.0426)	Prec@1 50.000 (47.369)	Prec@5 79.000 (77.941)
Epoch: [39][1980/9018]	Time 0.735 (0.630)	Data 0.001 (0.002)	Loss 2.1894 (2.0428)	Prec@1 44.500 (47.370)	Prec@5 71.000 (77.939)
Epoch: [39][1990/9018]	Time 0.631 (0.630)	Data 0.001 (0.002)	Loss 2.0439 (2.0427)	Prec@1 48.500 (47.375)	Prec@5 77.500 (77.941)
Epoch: [39][2000/9018]	Time 0.619 (0.630)	Data 0.001 (0.002)	Loss 2.1935 (2.0429)	Prec@1 50.500 (47.378)	Prec@5 74.000 (77.934)
Epoch: [39][2010/9018]	Time 0.620 (0.630)	Data 0.001 (0.002)	Loss 2.0939 (2.0428)	Prec@1 46.000 (47.374)	Prec@5 80.500 (77.939)
Epoch: [39][2020/9018]	Time 0.625 (0.630)	Data 0.001 (0.002)	Loss 2.1473 (2.0429)	Prec@1 46.000 (47.375)	Prec@5 77.500 (77.937)
Epoch: [39][2030/9018]	Time 0.629 (0.630)	Data 0.001 (0.002)	Loss 2.2044 (2.0427)	Prec@1 46.500 (47.379)	Prec@5 73.500 (77.939)
Epoch: [39][2040/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 2.0929 (2.0426)	Prec@1 47.500 (47.380)	Prec@5 77.000 (77.953)
Epoch: [39][2050/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.3062 (2.0426)	Prec@1 40.000 (47.381)	Prec@5 77.500 (77.947)
Epoch: [39][2060/9018]	Time 0.632 (0.630)	Data 0.001 (0.002)	Loss 1.9126 (2.0424)	Prec@1 48.000 (47.376)	Prec@5 81.500 (77.951)
Epoch: [39][2070/9018]	Time 0.623 (0.630)	Data 0.001 (0.002)	Loss 1.9912 (2.0421)	Prec@1 44.500 (47.380)	Prec@5 80.500 (77.958)
Epoch: [39][2080/9018]	Time 0.600 (0.630)	Data 0.001 (0.002)	Loss 2.0233 (2.0420)	Prec@1 45.500 (47.379)	Prec@5 78.500 (77.956)
Epoch: [39][2090/9018]	Time 0.619 (0.630)	Data 0.001 (0.002)	Loss 1.8496 (2.0419)	Prec@1 50.500 (47.377)	Prec@5 81.500 (77.958)
Epoch: [39][2100/9018]	Time 0.614 (0.630)	Data 0.001 (0.002)	Loss 2.1394 (2.0417)	Prec@1 44.500 (47.384)	Prec@5 78.000 (77.957)
Epoch: [39][2110/9018]	Time 0.627 (0.630)	Data 0.001 (0.002)	Loss 2.0816 (2.0416)	Prec@1 50.500 (47.389)	Prec@5 77.000 (77.962)
Epoch: [39][2120/9018]	Time 0.620 (0.630)	Data 0.001 (0.002)	Loss 1.8915 (2.0418)	Prec@1 53.000 (47.385)	Prec@5 79.000 (77.959)
Epoch: [39][2130/9018]	Time 0.620 (0.630)	Data 0.001 (0.002)	Loss 2.0681 (2.0415)	Prec@1 47.000 (47.389)	Prec@5 78.000 (77.964)
Epoch: [39][2140/9018]	Time 0.623 (0.630)	Data 0.001 (0.002)	Loss 1.8301 (2.0413)	Prec@1 51.500 (47.392)	Prec@5 82.000 (77.964)
Epoch: [39][2150/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.0341 (2.0414)	Prec@1 48.000 (47.394)	Prec@5 76.000 (77.963)
Epoch: [39][2160/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 2.2291 (2.0417)	Prec@1 40.500 (47.392)	Prec@5 78.000 (77.958)
Epoch: [39][2170/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 2.1221 (2.0416)	Prec@1 43.000 (47.386)	Prec@5 74.000 (77.960)
Epoch: [39][2180/9018]	Time 0.629 (0.630)	Data 0.001 (0.002)	Loss 1.9939 (2.0415)	Prec@1 46.500 (47.393)	Prec@5 79.500 (77.961)
Epoch: [39][2190/9018]	Time 0.629 (0.630)	Data 0.001 (0.002)	Loss 2.2695 (2.0417)	Prec@1 40.500 (47.384)	Prec@5 77.500 (77.959)
Epoch: [39][2200/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 2.1695 (2.0417)	Prec@1 45.000 (47.389)	Prec@5 77.500 (77.961)
Epoch: [39][2210/9018]	Time 0.625 (0.630)	Data 0.001 (0.002)	Loss 1.9348 (2.0415)	Prec@1 49.500 (47.399)	Prec@5 79.500 (77.960)
Epoch: [39][2220/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.1058 (2.0417)	Prec@1 44.000 (47.392)	Prec@5 77.000 (77.959)
Epoch: [39][2230/9018]	Time 0.627 (0.630)	Data 0.001 (0.002)	Loss 2.1170 (2.0417)	Prec@1 48.000 (47.393)	Prec@5 75.500 (77.961)
Epoch: [39][2240/9018]	Time 0.617 (0.630)	Data 0.001 (0.002)	Loss 2.0397 (2.0419)	Prec@1 52.500 (47.390)	Prec@5 74.500 (77.954)
Epoch: [39][2250/9018]	Time 0.625 (0.630)	Data 0.001 (0.002)	Loss 1.9864 (2.0420)	Prec@1 49.000 (47.388)	Prec@5 78.000 (77.950)
Epoch: [39][2260/9018]	Time 0.740 (0.630)	Data 0.001 (0.002)	Loss 2.1458 (2.0419)	Prec@1 40.000 (47.386)	Prec@5 78.500 (77.952)
Epoch: [39][2270/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 1.9623 (2.0418)	Prec@1 44.500 (47.387)	Prec@5 83.500 (77.958)
Epoch: [39][2280/9018]	Time 0.627 (0.630)	Data 0.001 (0.002)	Loss 2.0639 (2.0416)	Prec@1 45.500 (47.386)	Prec@5 79.500 (77.961)
Epoch: [39][2290/9018]	Time 0.623 (0.630)	Data 0.001 (0.002)	Loss 2.1705 (2.0416)	Prec@1 44.500 (47.391)	Prec@5 71.500 (77.958)
Epoch: [39][2300/9018]	Time 0.634 (0.630)	Data 0.001 (0.002)	Loss 1.8349 (2.0412)	Prec@1 52.000 (47.399)	Prec@5 81.000 (77.964)
Epoch: [39][2310/9018]	Time 0.744 (0.630)	Data 0.001 (0.002)	Loss 2.1099 (2.0412)	Prec@1 47.000 (47.394)	Prec@5 74.500 (77.965)
Epoch: [39][2320/9018]	Time 0.607 (0.630)	Data 0.001 (0.002)	Loss 1.9341 (2.0410)	Prec@1 52.000 (47.396)	Prec@5 81.000 (77.971)
Epoch: [39][2330/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 1.9631 (2.0411)	Prec@1 51.000 (47.397)	Prec@5 79.500 (77.971)
Epoch: [39][2340/9018]	Time 0.611 (0.630)	Data 0.001 (0.002)	Loss 2.0861 (2.0412)	Prec@1 47.500 (47.396)	Prec@5 76.000 (77.970)
Epoch: [39][2350/9018]	Time 0.653 (0.630)	Data 0.001 (0.002)	Loss 1.9909 (2.0410)	Prec@1 53.000 (47.402)	Prec@5 78.500 (77.978)
Epoch: [39][2360/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.1168 (2.0412)	Prec@1 43.000 (47.398)	Prec@5 75.500 (77.970)
Epoch: [39][2370/9018]	Time 0.620 (0.630)	Data 0.001 (0.002)	Loss 2.0078 (2.0414)	Prec@1 47.000 (47.395)	Prec@5 81.500 (77.969)
Epoch: [39][2380/9018]	Time 0.623 (0.630)	Data 0.001 (0.002)	Loss 2.1041 (2.0414)	Prec@1 50.000 (47.402)	Prec@5 77.000 (77.967)
Epoch: [39][2390/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.1356 (2.0415)	Prec@1 50.500 (47.400)	Prec@5 79.500 (77.963)
Epoch: [39][2400/9018]	Time 0.617 (0.630)	Data 0.001 (0.002)	Loss 1.8661 (2.0413)	Prec@1 49.500 (47.403)	Prec@5 80.000 (77.968)
Epoch: [39][2410/9018]	Time 0.603 (0.630)	Data 0.001 (0.002)	Loss 2.0995 (2.0412)	Prec@1 47.500 (47.410)	Prec@5 73.000 (77.966)
Epoch: [39][2420/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 1.8029 (2.0410)	Prec@1 50.500 (47.414)	Prec@5 84.000 (77.969)
Epoch: [39][2430/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.1140 (2.0412)	Prec@1 47.000 (47.406)	Prec@5 78.500 (77.966)
Epoch: [39][2440/9018]	Time 0.627 (0.630)	Data 0.001 (0.002)	Loss 2.0020 (2.0414)	Prec@1 48.500 (47.406)	Prec@5 79.000 (77.959)
Epoch: [39][2450/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 1.8506 (2.0414)	Prec@1 55.500 (47.412)	Prec@5 83.000 (77.960)
Epoch: [39][2460/9018]	Time 0.620 (0.630)	Data 0.001 (0.002)	Loss 2.3003 (2.0415)	Prec@1 41.000 (47.409)	Prec@5 75.500 (77.956)
Epoch: [39][2470/9018]	Time 0.618 (0.630)	Data 0.001 (0.002)	Loss 2.1231 (2.0416)	Prec@1 50.000 (47.405)	Prec@5 78.000 (77.957)
Epoch: [39][2480/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 1.9142 (2.0414)	Prec@1 48.000 (47.411)	Prec@5 84.000 (77.959)
Epoch: [39][2490/9018]	Time 0.624 (0.630)	Data 0.002 (0.002)	Loss 2.0506 (2.0415)	Prec@1 44.500 (47.402)	Prec@5 77.000 (77.960)
Epoch: [39][2500/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 2.0161 (2.0418)	Prec@1 48.000 (47.399)	Prec@5 81.000 (77.952)
Epoch: [39][2510/9018]	Time 0.626 (0.630)	Data 0.001 (0.002)	Loss 2.0989 (2.0419)	Prec@1 47.500 (47.395)	Prec@5 78.000 (77.954)
Epoch: [39][2520/9018]	Time 0.609 (0.630)	Data 0.001 (0.002)	Loss 1.9861 (2.0417)	Prec@1 48.500 (47.397)	Prec@5 79.500 (77.959)
Epoch: [39][2530/9018]	Time 0.626 (0.630)	Data 0.001 (0.002)	Loss 1.8341 (2.0417)	Prec@1 48.500 (47.395)	Prec@5 82.000 (77.960)
Epoch: [39][2540/9018]	Time 0.614 (0.630)	Data 0.001 (0.002)	Loss 2.1353 (2.0420)	Prec@1 42.500 (47.382)	Prec@5 76.000 (77.957)
Epoch: [39][2550/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 2.0183 (2.0422)	Prec@1 46.000 (47.384)	Prec@5 82.000 (77.954)
Epoch: [39][2560/9018]	Time 0.617 (0.630)	Data 0.001 (0.002)	Loss 1.9481 (2.0423)	Prec@1 47.000 (47.381)	Prec@5 83.000 (77.952)
Epoch: [39][2570/9018]	Time 0.623 (0.630)	Data 0.001 (0.002)	Loss 2.2641 (2.0423)	Prec@1 37.500 (47.375)	Prec@5 75.500 (77.954)
Epoch: [39][2580/9018]	Time 0.616 (0.630)	Data 0.001 (0.002)	Loss 2.0352 (2.0426)	Prec@1 46.500 (47.375)	Prec@5 81.500 (77.952)
Epoch: [39][2590/9018]	Time 0.749 (0.630)	Data 0.002 (0.002)	Loss 2.1746 (2.0424)	Prec@1 43.000 (47.375)	Prec@5 76.500 (77.955)
Epoch: [39][2600/9018]	Time 0.618 (0.630)	Data 0.001 (0.002)	Loss 2.1279 (2.0426)	Prec@1 49.000 (47.373)	Prec@5 76.000 (77.952)
Epoch: [39][2610/9018]	Time 0.619 (0.630)	Data 0.001 (0.002)	Loss 2.0982 (2.0426)	Prec@1 44.500 (47.372)	Prec@5 77.500 (77.948)
Epoch: [39][2620/9018]	Time 0.618 (0.630)	Data 0.001 (0.002)	Loss 2.1647 (2.0426)	Prec@1 42.500 (47.370)	Prec@5 74.000 (77.945)
Epoch: [39][2630/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 2.0342 (2.0423)	Prec@1 48.000 (47.377)	Prec@5 77.000 (77.949)
Epoch: [39][2640/9018]	Time 0.619 (0.630)	Data 0.001 (0.002)	Loss 2.0929 (2.0424)	Prec@1 47.500 (47.375)	Prec@5 74.500 (77.946)
Epoch: [39][2650/9018]	Time 0.613 (0.630)	Data 0.001 (0.002)	Loss 1.9598 (2.0423)	Prec@1 50.000 (47.378)	Prec@5 80.000 (77.947)
Epoch: [39][2660/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 1.9198 (2.0423)	Prec@1 44.500 (47.378)	Prec@5 80.500 (77.947)
Epoch: [39][2670/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 1.8696 (2.0424)	Prec@1 53.500 (47.381)	Prec@5 78.500 (77.943)
Epoch: [39][2680/9018]	Time 0.618 (0.630)	Data 0.001 (0.002)	Loss 2.0684 (2.0424)	Prec@1 47.000 (47.380)	Prec@5 79.000 (77.942)
Epoch: [39][2690/9018]	Time 0.616 (0.630)	Data 0.001 (0.002)	Loss 2.1204 (2.0425)	Prec@1 48.000 (47.377)	Prec@5 77.000 (77.941)
Epoch: [39][2700/9018]	Time 0.632 (0.630)	Data 0.001 (0.002)	Loss 2.0769 (2.0425)	Prec@1 44.000 (47.379)	Prec@5 78.500 (77.945)
Epoch: [39][2710/9018]	Time 0.623 (0.630)	Data 0.001 (0.002)	Loss 1.9708 (2.0424)	Prec@1 51.000 (47.380)	Prec@5 79.500 (77.947)
Epoch: [39][2720/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.0940 (2.0423)	Prec@1 44.500 (47.387)	Prec@5 77.000 (77.948)
Epoch: [39][2730/9018]	Time 0.619 (0.630)	Data 0.001 (0.002)	Loss 2.1439 (2.0422)	Prec@1 48.000 (47.389)	Prec@5 78.000 (77.945)
Epoch: [39][2740/9018]	Time 0.633 (0.630)	Data 0.001 (0.002)	Loss 2.0413 (2.0423)	Prec@1 49.500 (47.390)	Prec@5 78.000 (77.943)
Epoch: [39][2750/9018]	Time 0.614 (0.630)	Data 0.001 (0.002)	Loss 2.0020 (2.0424)	Prec@1 50.500 (47.384)	Prec@5 78.000 (77.942)
Epoch: [39][2760/9018]	Time 0.617 (0.630)	Data 0.001 (0.002)	Loss 2.0939 (2.0423)	Prec@1 46.500 (47.391)	Prec@5 79.500 (77.942)
Epoch: [39][2770/9018]	Time 0.619 (0.630)	Data 0.001 (0.002)	Loss 2.0219 (2.0424)	Prec@1 48.500 (47.387)	Prec@5 75.500 (77.936)
Epoch: [39][2780/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 1.8507 (2.0426)	Prec@1 53.500 (47.385)	Prec@5 82.000 (77.930)
Epoch: [39][2790/9018]	Time 0.619 (0.630)	Data 0.001 (0.002)	Loss 1.7956 (2.0424)	Prec@1 55.500 (47.389)	Prec@5 82.500 (77.935)
Epoch: [39][2800/9018]	Time 0.610 (0.630)	Data 0.001 (0.002)	Loss 1.9890 (2.0425)	Prec@1 50.500 (47.389)	Prec@5 77.500 (77.935)
Epoch: [39][2810/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 2.1442 (2.0427)	Prec@1 41.500 (47.389)	Prec@5 75.000 (77.933)
Epoch: [39][2820/9018]	Time 0.619 (0.630)	Data 0.001 (0.002)	Loss 1.9097 (2.0423)	Prec@1 46.500 (47.397)	Prec@5 82.000 (77.938)
Epoch: [39][2830/9018]	Time 0.626 (0.630)	Data 0.001 (0.002)	Loss 2.1290 (2.0424)	Prec@1 47.000 (47.393)	Prec@5 73.500 (77.935)
Epoch: [39][2840/9018]	Time 0.610 (0.630)	Data 0.001 (0.002)	Loss 1.9165 (2.0423)	Prec@1 52.500 (47.395)	Prec@5 75.000 (77.936)
Epoch: [39][2850/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.2393 (2.0423)	Prec@1 42.500 (47.395)	Prec@5 76.000 (77.935)
Epoch: [39][2860/9018]	Time 0.632 (0.630)	Data 0.001 (0.002)	Loss 1.9879 (2.0422)	Prec@1 48.000 (47.397)	Prec@5 79.500 (77.937)
Epoch: [39][2870/9018]	Time 0.732 (0.630)	Data 0.001 (0.002)	Loss 2.2959 (2.0422)	Prec@1 41.000 (47.397)	Prec@5 71.500 (77.936)
Epoch: [39][2880/9018]	Time 0.613 (0.630)	Data 0.001 (0.002)	Loss 2.2206 (2.0424)	Prec@1 43.000 (47.389)	Prec@5 75.500 (77.934)
Epoch: [39][2890/9018]	Time 0.628 (0.630)	Data 0.001 (0.002)	Loss 2.0972 (2.0424)	Prec@1 43.000 (47.390)	Prec@5 73.000 (77.933)
Epoch: [39][2900/9018]	Time 0.626 (0.630)	Data 0.001 (0.002)	Loss 2.0230 (2.0424)	Prec@1 43.000 (47.389)	Prec@5 81.000 (77.935)
Epoch: [39][2910/9018]	Time 0.615 (0.630)	Data 0.001 (0.002)	Loss 2.2332 (2.0424)	Prec@1 42.500 (47.388)	Prec@5 75.000 (77.931)
Epoch: [39][2920/9018]	Time 0.745 (0.630)	Data 0.001 (0.002)	Loss 1.8881 (2.0424)	Prec@1 47.000 (47.384)	Prec@5 81.500 (77.931)
Epoch: [39][2930/9018]	Time 0.619 (0.630)	Data 0.001 (0.002)	Loss 2.4207 (2.0425)	Prec@1 41.500 (47.382)	Prec@5 69.500 (77.931)
Epoch: [39][2940/9018]	Time 0.612 (0.630)	Data 0.001 (0.002)	Loss 2.0638 (2.0427)	Prec@1 45.000 (47.374)	Prec@5 80.500 (77.929)
Epoch: [39][2950/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.0167 (2.0424)	Prec@1 44.500 (47.379)	Prec@5 81.500 (77.932)
Epoch: [39][2960/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 2.2448 (2.0424)	Prec@1 44.500 (47.380)	Prec@5 74.500 (77.935)
Epoch: [39][2970/9018]	Time 0.613 (0.630)	Data 0.001 (0.002)	Loss 2.0692 (2.0421)	Prec@1 47.500 (47.389)	Prec@5 75.500 (77.939)
Epoch: [39][2980/9018]	Time 0.628 (0.630)	Data 0.001 (0.002)	Loss 2.0438 (2.0422)	Prec@1 44.500 (47.392)	Prec@5 74.000 (77.939)
Epoch: [39][2990/9018]	Time 0.623 (0.630)	Data 0.001 (0.002)	Loss 2.0063 (2.0423)	Prec@1 47.000 (47.391)	Prec@5 80.500 (77.936)
Epoch: [39][3000/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.0694 (2.0421)	Prec@1 44.500 (47.388)	Prec@5 78.500 (77.942)
Epoch: [39][3010/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.1882 (2.0423)	Prec@1 41.500 (47.379)	Prec@5 74.000 (77.936)
Epoch: [39][3020/9018]	Time 0.626 (0.630)	Data 0.001 (0.002)	Loss 2.2686 (2.0425)	Prec@1 38.000 (47.374)	Prec@5 75.500 (77.936)
Epoch: [39][3030/9018]	Time 0.618 (0.630)	Data 0.001 (0.002)	Loss 2.0741 (2.0426)	Prec@1 48.000 (47.371)	Prec@5 78.500 (77.935)
Epoch: [39][3040/9018]	Time 0.625 (0.630)	Data 0.001 (0.002)	Loss 1.8004 (2.0425)	Prec@1 54.000 (47.377)	Prec@5 79.500 (77.933)
Epoch: [39][3050/9018]	Time 0.625 (0.630)	Data 0.001 (0.002)	Loss 1.9255 (2.0427)	Prec@1 52.500 (47.374)	Prec@5 79.500 (77.927)
Epoch: [39][3060/9018]	Time 0.619 (0.630)	Data 0.001 (0.002)	Loss 2.0016 (2.0427)	Prec@1 44.000 (47.367)	Prec@5 81.000 (77.930)
Epoch: [39][3070/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.0773 (2.0428)	Prec@1 46.000 (47.364)	Prec@5 77.000 (77.928)
Epoch: [39][3080/9018]	Time 0.620 (0.630)	Data 0.001 (0.002)	Loss 2.1536 (2.0429)	Prec@1 42.000 (47.361)	Prec@5 74.000 (77.923)
Epoch: [39][3090/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 1.9121 (2.0428)	Prec@1 53.500 (47.365)	Prec@5 81.000 (77.928)
Epoch: [39][3100/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 1.8792 (2.0427)	Prec@1 46.000 (47.366)	Prec@5 83.000 (77.931)
Epoch: [39][3110/9018]	Time 0.618 (0.630)	Data 0.001 (0.002)	Loss 1.9264 (2.0426)	Prec@1 50.500 (47.369)	Prec@5 76.500 (77.929)
Epoch: [39][3120/9018]	Time 0.616 (0.630)	Data 0.001 (0.002)	Loss 2.1124 (2.0427)	Prec@1 42.000 (47.370)	Prec@5 79.000 (77.929)
Epoch: [39][3130/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.2574 (2.0429)	Prec@1 42.500 (47.368)	Prec@5 76.500 (77.929)
Epoch: [39][3140/9018]	Time 0.625 (0.630)	Data 0.001 (0.002)	Loss 2.1199 (2.0431)	Prec@1 45.000 (47.366)	Prec@5 78.500 (77.929)
Epoch: [39][3150/9018]	Time 0.637 (0.630)	Data 0.001 (0.002)	Loss 2.0832 (2.0429)	Prec@1 42.500 (47.366)	Prec@5 78.000 (77.930)
Epoch: [39][3160/9018]	Time 0.614 (0.630)	Data 0.001 (0.002)	Loss 1.9918 (2.0429)	Prec@1 49.000 (47.362)	Prec@5 77.000 (77.931)
Epoch: [39][3170/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.1466 (2.0430)	Prec@1 49.500 (47.363)	Prec@5 78.000 (77.929)
Epoch: [39][3180/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.1685 (2.0429)	Prec@1 45.500 (47.364)	Prec@5 72.500 (77.928)
Epoch: [39][3190/9018]	Time 0.621 (0.630)	Data 0.001 (0.002)	Loss 2.0303 (2.0426)	Prec@1 48.500 (47.369)	Prec@5 77.500 (77.930)
Epoch: [39][3200/9018]	Time 0.741 (0.630)	Data 0.001 (0.002)	Loss 2.0095 (2.0427)	Prec@1 46.500 (47.370)	Prec@5 75.500 (77.928)
Epoch: [39][3210/9018]	Time 0.627 (0.630)	Data 0.001 (0.002)	Loss 1.7936 (2.0427)	Prec@1 52.000 (47.372)	Prec@5 80.000 (77.931)
Epoch: [39][3220/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 1.8758 (2.0427)	Prec@1 51.500 (47.371)	Prec@5 82.500 (77.932)
Epoch: [39][3230/9018]	Time 0.623 (0.630)	Data 0.001 (0.002)	Loss 1.9567 (2.0430)	Prec@1 46.500 (47.365)	Prec@5 79.000 (77.926)
Epoch: [39][3240/9018]	Time 0.627 (0.630)	Data 0.001 (0.002)	Loss 2.0630 (2.0429)	Prec@1 43.000 (47.362)	Prec@5 74.500 (77.927)
Epoch: [39][3250/9018]	Time 0.731 (0.630)	Data 0.001 (0.002)	Loss 1.9197 (2.0430)	Prec@1 51.500 (47.363)	Prec@5 80.000 (77.926)
Epoch: [39][3260/9018]	Time 0.614 (0.630)	Data 0.001 (0.002)	Loss 2.1995 (2.0429)	Prec@1 43.000 (47.364)	Prec@5 75.000 (77.925)
Epoch: [39][3270/9018]	Time 0.630 (0.630)	Data 0.001 (0.002)	Loss 1.9469 (2.0430)	Prec@1 48.500 (47.364)	Prec@5 77.500 (77.921)
Epoch: [39][3280/9018]	Time 0.614 (0.630)	Data 0.001 (0.002)	Loss 2.2831 (2.0430)	Prec@1 47.000 (47.364)	Prec@5 72.000 (77.918)
Epoch: [39][3290/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 1.9152 (2.0430)	Prec@1 51.500 (47.369)	Prec@5 78.500 (77.918)
Epoch: [39][3300/9018]	Time 0.610 (0.630)	Data 0.001 (0.002)	Loss 2.0263 (2.0431)	Prec@1 48.500 (47.369)	Prec@5 78.000 (77.915)
Epoch: [39][3310/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 1.8586 (2.0433)	Prec@1 48.000 (47.365)	Prec@5 81.500 (77.909)
Epoch: [39][3320/9018]	Time 0.617 (0.630)	Data 0.001 (0.002)	Loss 1.8628 (2.0433)	Prec@1 53.000 (47.366)	Prec@5 79.500 (77.911)
Epoch: [39][3330/9018]	Time 0.617 (0.630)	Data 0.001 (0.002)	Loss 2.1280 (2.0435)	Prec@1 43.500 (47.361)	Prec@5 76.500 (77.909)
Epoch: [39][3340/9018]	Time 0.616 (0.630)	Data 0.001 (0.002)	Loss 2.1841 (2.0436)	Prec@1 44.500 (47.359)	Prec@5 78.000 (77.911)
Epoch: [39][3350/9018]	Time 0.600 (0.630)	Data 0.001 (0.002)	Loss 2.0870 (2.0437)	Prec@1 46.500 (47.353)	Prec@5 76.500 (77.905)
Epoch: [39][3360/9018]	Time 0.620 (0.630)	Data 0.001 (0.002)	Loss 1.9465 (2.0437)	Prec@1 45.000 (47.350)	Prec@5 79.000 (77.906)
Epoch: [39][3370/9018]	Time 0.625 (0.630)	Data 0.001 (0.002)	Loss 1.9322 (2.0435)	Prec@1 51.000 (47.357)	Prec@5 79.500 (77.909)
Epoch: [39][3380/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 1.9905 (2.0435)	Prec@1 45.500 (47.358)	Prec@5 78.000 (77.908)
Epoch: [39][3390/9018]	Time 0.625 (0.630)	Data 0.001 (0.002)	Loss 2.0521 (2.0435)	Prec@1 50.500 (47.359)	Prec@5 76.000 (77.906)
Epoch: [39][3400/9018]	Time 0.627 (0.630)	Data 0.001 (0.002)	Loss 2.1134 (2.0436)	Prec@1 46.000 (47.359)	Prec@5 79.000 (77.905)
Epoch: [39][3410/9018]	Time 0.632 (0.630)	Data 0.001 (0.002)	Loss 1.8272 (2.0435)	Prec@1 51.500 (47.368)	Prec@5 81.500 (77.905)
Epoch: [39][3420/9018]	Time 0.627 (0.630)	Data 0.001 (0.002)	Loss 2.3657 (2.0437)	Prec@1 42.500 (47.363)	Prec@5 74.500 (77.902)
Epoch: [39][3430/9018]	Time 0.627 (0.630)	Data 0.001 (0.002)	Loss 1.9066 (2.0437)	Prec@1 55.000 (47.361)	Prec@5 81.500 (77.904)
Epoch: [39][3440/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.1648 (2.0438)	Prec@1 47.500 (47.359)	Prec@5 76.500 (77.904)
Epoch: [39][3450/9018]	Time 0.624 (0.630)	Data 0.001 (0.002)	Loss 2.1269 (2.0438)	Prec@1 45.000 (47.357)	Prec@5 77.500 (77.907)
Epoch: [39][3460/9018]	Time 0.625 (0.630)	Data 0.001 (0.002)	Loss 2.0554 (2.0438)	Prec@1 47.000 (47.357)	Prec@5 76.500 (77.904)
Epoch: [39][3470/9018]	Time 0.618 (0.630)	Data 0.001 (0.002)	Loss 2.0222 (2.0439)	Prec@1 50.500 (47.356)	Prec@5 78.500 (77.902)
Epoch: [39][3480/9018]	Time 0.622 (0.630)	Data 0.001 (0.002)	Loss 2.1407 (2.0439)	Prec@1 44.000 (47.357)	Prec@5 80.000 (77.902)
Epoch: [39][3490/9018]	Time 0.623 (0.630)	Data 0.001 (0.002)	Loss 2.0192 (2.0441)	Prec@1 47.000 (47.350)	Prec@5 81.500 (77.898)
Epoch: [39][3500/9018]	Time 0.623 (0.630)	Data 0.001 (0.002)	Loss 2.1703 (2.0441)	Prec@1 47.500 (47.355)	Prec@5 76.500 (77.898)
Epoch: [39][3510/9018]	Time 0.620 (0.630)	Data 0.001 (0.002)	Loss 2.0069 (2.0441)	Prec@1 50.000 (47.353)	Prec@5 78.500 (77.895)
Epoch: [39][3520/9018]	Time 0.622 (0.630)	Data 0.001 (0.001)	Loss 1.9402 (2.0440)	Prec@1 47.500 (47.357)	Prec@5 80.500 (77.899)
Epoch: [39][3530/9018]	Time 0.736 (0.630)	Data 0.001 (0.001)	Loss 1.8442 (2.0439)	Prec@1 50.000 (47.357)	Prec@5 83.000 (77.901)
Epoch: [39][3540/9018]	Time 0.623 (0.630)	Data 0.001 (0.001)	Loss 1.7851 (2.0438)	Prec@1 49.500 (47.357)	Prec@5 83.500 (77.903)
Epoch: [39][3550/9018]	Time 0.623 (0.630)	Data 0.001 (0.001)	Loss 1.9308 (2.0438)	Prec@1 49.500 (47.356)	Prec@5 80.000 (77.903)
Epoch: [39][3560/9018]	Time 0.621 (0.630)	Data 0.001 (0.001)	Loss 2.0130 (2.0438)	Prec@1 43.500 (47.355)	Prec@5 78.500 (77.903)
Epoch: [39][3570/9018]	Time 0.625 (0.630)	Data 0.001 (0.001)	Loss 2.2123 (2.0440)	Prec@1 45.000 (47.353)	Prec@5 74.500 (77.898)
Epoch: [39][3580/9018]	Time 0.730 (0.630)	Data 0.001 (0.001)	Loss 1.9065 (2.0439)	Prec@1 50.500 (47.355)	Prec@5 80.500 (77.901)
Epoch: [39][3590/9018]	Time 0.625 (0.630)	Data 0.001 (0.001)	Loss 1.9862 (2.0439)	Prec@1 46.500 (47.351)	Prec@5 79.000 (77.901)
Epoch: [39][3600/9018]	Time 0.624 (0.630)	Data 0.001 (0.001)	Loss 1.7594 (2.0440)	Prec@1 53.500 (47.350)	Prec@5 83.500 (77.897)
Epoch: [39][3610/9018]	Time 0.619 (0.630)	Data 0.001 (0.001)	Loss 2.1246 (2.0441)	Prec@1 46.500 (47.348)	Prec@5 75.000 (77.896)
Epoch: [39][3620/9018]	Time 0.626 (0.630)	Data 0.001 (0.001)	Loss 2.1134 (2.0440)	Prec@1 44.000 (47.355)	Prec@5 76.500 (77.897)
Epoch: [39][3630/9018]	Time 0.612 (0.630)	Data 0.001 (0.001)	Loss 2.0489 (2.0440)	Prec@1 45.000 (47.356)	Prec@5 78.000 (77.894)
Epoch: [39][3640/9018]	Time 0.617 (0.630)	Data 0.001 (0.001)	Loss 2.0565 (2.0441)	Prec@1 52.500 (47.358)	Prec@5 75.500 (77.893)
Epoch: [39][3650/9018]	Time 0.615 (0.630)	Data 0.001 (0.001)	Loss 1.9747 (2.0440)	Prec@1 47.500 (47.357)	Prec@5 78.000 (77.894)
Epoch: [39][3660/9018]	Time 0.621 (0.630)	Data 0.001 (0.001)	Loss 2.4157 (2.0440)	Prec@1 42.000 (47.359)	Prec@5 70.000 (77.894)
Epoch: [39][3670/9018]	Time 0.618 (0.630)	Data 0.001 (0.001)	Loss 1.8995 (2.0439)	Prec@1 49.500 (47.359)	Prec@5 79.500 (77.896)
Epoch: [39][3680/9018]	Time 0.628 (0.630)	Data 0.001 (0.001)	Loss 1.8554 (2.0441)	Prec@1 56.500 (47.359)	Prec@5 81.500 (77.892)
Epoch: [39][3690/9018]	Time 0.632 (0.630)	Data 0.001 (0.001)	Loss 2.0868 (2.0442)	Prec@1 46.000 (47.354)	Prec@5 79.000 (77.891)
Epoch: [39][3700/9018]	Time 0.628 (0.630)	Data 0.001 (0.001)	Loss 2.1931 (2.0441)	Prec@1 45.500 (47.353)	Prec@5 75.000 (77.896)
Epoch: [39][3710/9018]	Time 0.621 (0.630)	Data 0.001 (0.001)	Loss 2.0672 (2.0443)	Prec@1 45.500 (47.351)	Prec@5 74.000 (77.892)
Epoch: [39][3720/9018]	Time 0.622 (0.630)	Data 0.001 (0.001)	Loss 2.1790 (2.0445)	Prec@1 43.000 (47.345)	Prec@5 74.500 (77.887)
Epoch: [39][3730/9018]	Time 0.645 (0.630)	Data 0.001 (0.001)	Loss 2.2393 (2.0445)	Prec@1 42.000 (47.345)	Prec@5 76.000 (77.886)
Epoch: [39][3740/9018]	Time 0.622 (0.630)	Data 0.001 (0.001)	Loss 2.1435 (2.0446)	Prec@1 49.500 (47.341)	Prec@5 77.500 (77.881)
Epoch: [39][3750/9018]	Time 0.617 (0.630)	Data 0.001 (0.001)	Loss 2.2733 (2.0447)	Prec@1 41.000 (47.338)	Prec@5 74.000 (77.878)
Epoch: [39][3760/9018]	Time 0.621 (0.630)	Data 0.001 (0.001)	Loss 2.2725 (2.0447)	Prec@1 43.000 (47.339)	Prec@5 73.000 (77.877)
Epoch: [39][3770/9018]	Time 0.614 (0.630)	Data 0.001 (0.001)	Loss 2.0612 (2.0448)	Prec@1 47.000 (47.336)	Prec@5 77.000 (77.876)
Epoch: [39][3780/9018]	Time 0.618 (0.630)	Data 0.001 (0.001)	Loss 2.0743 (2.0448)	Prec@1 45.000 (47.337)	Prec@5 76.000 (77.874)
Epoch: [39][3790/9018]	Time 0.620 (0.630)	Data 0.001 (0.001)	Loss 2.1990 (2.0449)	Prec@1 45.500 (47.333)	Prec@5 73.500 (77.875)
Epoch: [39][3800/9018]	Time 0.621 (0.630)	Data 0.001 (0.001)	Loss 2.0654 (2.0450)	Prec@1 46.500 (47.329)	Prec@5 77.000 (77.873)
Epoch: [39][3810/9018]	Time 0.615 (0.630)	Data 0.001 (0.001)	Loss 2.0886 (2.0449)	Prec@1 46.000 (47.330)	Prec@5 80.500 (77.878)
Epoch: [39][3820/9018]	Time 0.629 (0.630)	Data 0.001 (0.001)	Loss 1.9728 (2.0448)	Prec@1 50.000 (47.334)	Prec@5 82.500 (77.883)
Epoch: [39][3830/9018]	Time 0.620 (0.630)	Data 0.001 (0.001)	Loss 2.1101 (2.0447)	Prec@1 43.000 (47.333)	Prec@5 76.000 (77.885)
Epoch: [39][3840/9018]	Time 0.622 (0.630)	Data 0.001 (0.001)	Loss 2.0062 (2.0449)	Prec@1 48.500 (47.332)	Prec@5 78.500 (77.885)
Epoch: [39][3850/9018]	Time 0.619 (0.630)	Data 0.001 (0.001)	Loss 2.1845 (2.0449)	Prec@1 40.500 (47.329)	Prec@5 76.500 (77.884)
Epoch: [39][3860/9018]	Time 0.741 (0.630)	Data 0.001 (0.001)	Loss 1.9368 (2.0449)	Prec@1 51.000 (47.327)	Prec@5 79.500 (77.883)
Epoch: [39][3870/9018]	Time 0.613 (0.630)	Data 0.001 (0.001)	Loss 2.0543 (2.0448)	Prec@1 49.000 (47.332)	Prec@5 78.500 (77.886)
Epoch: [39][3880/9018]	Time 0.630 (0.630)	Data 0.001 (0.001)	Loss 2.0413 (2.0447)	Prec@1 48.000 (47.335)	Prec@5 78.000 (77.888)
Epoch: [39][3890/9018]	Time 0.623 (0.630)	Data 0.001 (0.001)	Loss 2.1125 (2.0447)	Prec@1 43.000 (47.336)	Prec@5 77.000 (77.891)
Epoch: [39][3900/9018]	Time 0.628 (0.630)	Data 0.001 (0.001)	Loss 2.1377 (2.0448)	Prec@1 44.000 (47.336)	Prec@5 76.000 (77.891)
Epoch: [39][3910/9018]	Time 0.763 (0.630)	Data 0.001 (0.001)	Loss 1.8527 (2.0448)	Prec@1 51.500 (47.335)	Prec@5 81.500 (77.892)
Epoch: [39][3920/9018]	Time 0.622 (0.630)	Data 0.001 (0.001)	Loss 2.0000 (2.0449)	Prec@1 48.000 (47.331)	Prec@5 78.500 (77.891)
Epoch: [39][3930/9018]	Time 0.624 (0.630)	Data 0.001 (0.001)	Loss 1.9076 (2.0449)	Prec@1 55.000 (47.332)	Prec@5 79.000 (77.886)
Epoch: [39][3940/9018]	Time 0.614 (0.630)	Data 0.001 (0.001)	Loss 1.9735 (2.0448)	Prec@1 51.500 (47.335)	Prec@5 76.000 (77.888)
Epoch: [39][3950/9018]	Time 0.617 (0.630)	Data 0.001 (0.001)	Loss 2.0253 (2.0448)	Prec@1 50.000 (47.336)	Prec@5 77.000 (77.885)
Epoch: [39][3960/9018]	Time 0.615 (0.630)	Data 0.001 (0.001)	Loss 1.9953 (2.0449)	Prec@1 47.500 (47.335)	Prec@5 78.500 (77.885)
Epoch: [39][3970/9018]	Time 0.620 (0.630)	Data 0.001 (0.001)	Loss 1.8466 (2.0447)	Prec@1 49.500 (47.338)	Prec@5 82.000 (77.886)
Epoch: [39][3980/9018]	Time 0.620 (0.630)	Data 0.001 (0.001)	Loss 2.2414 (2.0446)	Prec@1 44.500 (47.342)	Prec@5 73.000 (77.887)
Epoch: [39][3990/9018]	Time 0.621 (0.630)	Data 0.001 (0.001)	Loss 2.0934 (2.0448)	Prec@1 47.500 (47.338)	Prec@5 78.500 (77.883)
Epoch: [39][4000/9018]	Time 0.623 (0.630)	Data 0.001 (0.001)	Loss 2.3773 (2.0451)	Prec@1 42.500 (47.332)	Prec@5 69.000 (77.880)
Epoch: [39][4010/9018]	Time 0.616 (0.630)	Data 0.001 (0.001)	Loss 1.9889 (2.0450)	Prec@1 49.500 (47.335)	Prec@5 77.000 (77.882)
Epoch: [39][4020/9018]	Time 0.620 (0.630)	Data 0.001 (0.001)	Loss 2.1267 (2.0449)	Prec@1 45.000 (47.342)	Prec@5 77.500 (77.883)
Epoch: [39][4030/9018]	Time 0.616 (0.630)	Data 0.001 (0.001)	Loss 2.0419 (2.0450)	Prec@1 46.000 (47.340)	Prec@5 78.500 (77.884)
Epoch: [39][4040/9018]	Time 0.618 (0.630)	Data 0.001 (0.001)	Loss 2.0778 (2.0449)	Prec@1 43.000 (47.340)	Prec@5 79.500 (77.887)
Epoch: [39][4050/9018]	Time 0.621 (0.630)	Data 0.001 (0.001)	Loss 1.9397 (2.0450)	Prec@1 49.000 (47.337)	Prec@5 78.000 (77.887)
Epoch: [39][4060/9018]	Time 0.617 (0.630)	Data 0.001 (0.001)	Loss 2.0927 (2.0450)	Prec@1 44.000 (47.334)	Prec@5 78.000 (77.887)
Epoch: [39][4070/9018]	Time 0.626 (0.630)	Data 0.001 (0.001)	Loss 1.9647 (2.0451)	Prec@1 45.000 (47.334)	Prec@5 80.000 (77.883)
Epoch: [39][4080/9018]	Time 0.621 (0.630)	Data 0.001 (0.001)	Loss 2.0704 (2.0449)	Prec@1 49.000 (47.337)	Prec@5 76.500 (77.886)
Epoch: [39][4090/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 1.8794 (2.0449)	Prec@1 54.500 (47.337)	Prec@5 81.000 (77.886)
Epoch: [39][4100/9018]	Time 0.624 (0.630)	Data 0.001 (0.001)	Loss 1.9459 (2.0448)	Prec@1 54.000 (47.339)	Prec@5 82.500 (77.888)
Epoch: [39][4110/9018]	Time 0.619 (0.630)	Data 0.001 (0.001)	Loss 2.3540 (2.0451)	Prec@1 40.500 (47.335)	Prec@5 73.500 (77.884)
Epoch: [39][4120/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.0638 (2.0451)	Prec@1 46.500 (47.336)	Prec@5 72.000 (77.882)
Epoch: [39][4130/9018]	Time 0.619 (0.630)	Data 0.001 (0.001)	Loss 2.0103 (2.0451)	Prec@1 52.000 (47.333)	Prec@5 78.000 (77.878)
Epoch: [39][4140/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 1.9353 (2.0452)	Prec@1 49.500 (47.330)	Prec@5 80.000 (77.878)
Epoch: [39][4150/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.2371 (2.0453)	Prec@1 42.000 (47.330)	Prec@5 74.500 (77.877)
Epoch: [39][4160/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 1.9447 (2.0453)	Prec@1 47.500 (47.331)	Prec@5 80.000 (77.878)
Epoch: [39][4170/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 2.0446 (2.0452)	Prec@1 47.500 (47.334)	Prec@5 78.000 (77.880)
Epoch: [39][4180/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.0623 (2.0451)	Prec@1 46.500 (47.335)	Prec@5 77.500 (77.881)
Epoch: [39][4190/9018]	Time 0.753 (0.629)	Data 0.001 (0.001)	Loss 1.9559 (2.0451)	Prec@1 49.500 (47.330)	Prec@5 80.500 (77.882)
Epoch: [39][4200/9018]	Time 0.626 (0.629)	Data 0.001 (0.001)	Loss 1.8243 (2.0450)	Prec@1 51.000 (47.333)	Prec@5 83.000 (77.884)
Epoch: [39][4210/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 1.8931 (2.0450)	Prec@1 50.000 (47.334)	Prec@5 84.000 (77.884)
Epoch: [39][4220/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 2.0400 (2.0449)	Prec@1 48.500 (47.335)	Prec@5 76.500 (77.884)
Epoch: [39][4230/9018]	Time 0.631 (0.629)	Data 0.001 (0.001)	Loss 2.0210 (2.0449)	Prec@1 51.000 (47.336)	Prec@5 78.000 (77.880)
Epoch: [39][4240/9018]	Time 0.734 (0.629)	Data 0.001 (0.001)	Loss 1.8603 (2.0450)	Prec@1 48.000 (47.336)	Prec@5 82.500 (77.879)
Epoch: [39][4250/9018]	Time 0.631 (0.629)	Data 0.001 (0.001)	Loss 2.1744 (2.0450)	Prec@1 43.500 (47.338)	Prec@5 71.500 (77.877)
Epoch: [39][4260/9018]	Time 0.631 (0.629)	Data 0.001 (0.001)	Loss 2.3273 (2.0449)	Prec@1 43.500 (47.335)	Prec@5 73.500 (77.880)
Epoch: [39][4270/9018]	Time 0.632 (0.629)	Data 0.001 (0.001)	Loss 2.0273 (2.0448)	Prec@1 44.500 (47.336)	Prec@5 81.000 (77.883)
Epoch: [39][4280/9018]	Time 0.620 (0.629)	Data 0.003 (0.001)	Loss 2.1295 (2.0449)	Prec@1 48.000 (47.334)	Prec@5 74.500 (77.881)
Epoch: [39][4290/9018]	Time 0.611 (0.629)	Data 0.001 (0.001)	Loss 1.9497 (2.0449)	Prec@1 46.000 (47.330)	Prec@5 82.000 (77.882)
Epoch: [39][4300/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 2.0923 (2.0449)	Prec@1 48.500 (47.329)	Prec@5 77.000 (77.882)
Epoch: [39][4310/9018]	Time 0.626 (0.629)	Data 0.001 (0.001)	Loss 1.8721 (2.0447)	Prec@1 50.000 (47.336)	Prec@5 82.500 (77.885)
Epoch: [39][4320/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 1.9263 (2.0448)	Prec@1 46.500 (47.333)	Prec@5 80.500 (77.884)
Epoch: [39][4330/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 2.1865 (2.0448)	Prec@1 46.500 (47.336)	Prec@5 73.500 (77.884)
Epoch: [39][4340/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 1.9273 (2.0448)	Prec@1 50.500 (47.337)	Prec@5 80.000 (77.882)
Epoch: [39][4350/9018]	Time 0.626 (0.629)	Data 0.001 (0.001)	Loss 2.0267 (2.0447)	Prec@1 47.000 (47.335)	Prec@5 80.000 (77.883)
Epoch: [39][4360/9018]	Time 0.624 (0.629)	Data 0.001 (0.001)	Loss 1.7807 (2.0446)	Prec@1 52.000 (47.337)	Prec@5 81.500 (77.884)
Epoch: [39][4370/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 2.1916 (2.0447)	Prec@1 45.000 (47.343)	Prec@5 75.500 (77.883)
Epoch: [39][4380/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 2.1204 (2.0446)	Prec@1 44.000 (47.342)	Prec@5 80.000 (77.883)
Epoch: [39][4390/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 2.0709 (2.0446)	Prec@1 51.000 (47.341)	Prec@5 77.000 (77.881)
Epoch: [39][4400/9018]	Time 0.612 (0.629)	Data 0.001 (0.001)	Loss 2.1034 (2.0447)	Prec@1 49.000 (47.339)	Prec@5 75.000 (77.879)
Epoch: [39][4410/9018]	Time 0.618 (0.629)	Data 0.001 (0.001)	Loss 1.9281 (2.0446)	Prec@1 50.000 (47.339)	Prec@5 81.000 (77.881)
Epoch: [39][4420/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 1.9790 (2.0446)	Prec@1 49.500 (47.339)	Prec@5 79.500 (77.884)
Epoch: [39][4430/9018]	Time 0.624 (0.629)	Data 0.001 (0.001)	Loss 1.9982 (2.0446)	Prec@1 49.500 (47.339)	Prec@5 78.500 (77.883)
Epoch: [39][4440/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 2.3911 (2.0447)	Prec@1 43.000 (47.339)	Prec@5 69.000 (77.881)
Epoch: [39][4450/9018]	Time 0.632 (0.629)	Data 0.001 (0.001)	Loss 2.0241 (2.0447)	Prec@1 45.500 (47.338)	Prec@5 77.000 (77.882)
Epoch: [39][4460/9018]	Time 0.614 (0.629)	Data 0.001 (0.001)	Loss 2.2648 (2.0449)	Prec@1 46.000 (47.335)	Prec@5 71.000 (77.879)
Epoch: [39][4470/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 2.1232 (2.0448)	Prec@1 45.500 (47.340)	Prec@5 74.000 (77.879)
Epoch: [39][4480/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.0229 (2.0448)	Prec@1 50.000 (47.340)	Prec@5 79.500 (77.881)
Epoch: [39][4490/9018]	Time 0.627 (0.629)	Data 0.001 (0.001)	Loss 2.0385 (2.0450)	Prec@1 47.500 (47.336)	Prec@5 78.500 (77.877)
Epoch: [39][4500/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 2.2552 (2.0451)	Prec@1 42.500 (47.334)	Prec@5 73.000 (77.878)
Epoch: [39][4510/9018]	Time 0.626 (0.629)	Data 0.001 (0.001)	Loss 2.1877 (2.0453)	Prec@1 45.000 (47.329)	Prec@5 76.000 (77.874)
Epoch: [39][4520/9018]	Time 0.742 (0.629)	Data 0.001 (0.001)	Loss 2.1481 (2.0453)	Prec@1 43.000 (47.326)	Prec@5 76.000 (77.873)
Epoch: [39][4530/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 1.9941 (2.0453)	Prec@1 47.000 (47.327)	Prec@5 82.500 (77.876)
Epoch: [39][4540/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 2.1155 (2.0453)	Prec@1 48.500 (47.326)	Prec@5 76.500 (77.874)
Epoch: [39][4550/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 1.9444 (2.0453)	Prec@1 53.500 (47.327)	Prec@5 81.000 (77.877)
Epoch: [39][4560/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.4410 (2.0454)	Prec@1 40.500 (47.325)	Prec@5 71.000 (77.874)
Epoch: [39][4570/9018]	Time 0.708 (0.629)	Data 0.001 (0.001)	Loss 2.1720 (2.0456)	Prec@1 42.500 (47.321)	Prec@5 76.000 (77.873)
Epoch: [39][4580/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 2.1259 (2.0457)	Prec@1 46.500 (47.319)	Prec@5 75.000 (77.872)
Epoch: [39][4590/9018]	Time 0.627 (0.629)	Data 0.001 (0.001)	Loss 1.9487 (2.0457)	Prec@1 49.000 (47.322)	Prec@5 81.000 (77.870)
Epoch: [39][4600/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 2.1419 (2.0458)	Prec@1 48.000 (47.321)	Prec@5 73.000 (77.867)
Epoch: [39][4610/9018]	Time 0.639 (0.629)	Data 0.001 (0.001)	Loss 1.9969 (2.0456)	Prec@1 49.500 (47.326)	Prec@5 80.000 (77.870)
Epoch: [39][4620/9018]	Time 0.614 (0.629)	Data 0.001 (0.001)	Loss 1.9529 (2.0455)	Prec@1 50.000 (47.324)	Prec@5 77.500 (77.873)
Epoch: [39][4630/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 1.8331 (2.0453)	Prec@1 52.000 (47.329)	Prec@5 81.000 (77.878)
Epoch: [39][4640/9018]	Time 0.618 (0.629)	Data 0.001 (0.001)	Loss 1.9483 (2.0452)	Prec@1 47.500 (47.328)	Prec@5 80.000 (77.879)
Epoch: [39][4650/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 2.1729 (2.0453)	Prec@1 48.000 (47.328)	Prec@5 78.000 (77.877)
Epoch: [39][4660/9018]	Time 0.616 (0.629)	Data 0.001 (0.001)	Loss 2.0528 (2.0455)	Prec@1 42.500 (47.322)	Prec@5 80.000 (77.875)
Epoch: [39][4670/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 2.1140 (2.0455)	Prec@1 47.500 (47.321)	Prec@5 78.000 (77.873)
Epoch: [39][4680/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 2.0442 (2.0455)	Prec@1 45.000 (47.319)	Prec@5 81.000 (77.872)
Epoch: [39][4690/9018]	Time 0.618 (0.629)	Data 0.001 (0.001)	Loss 2.1394 (2.0456)	Prec@1 44.500 (47.317)	Prec@5 79.000 (77.872)
Epoch: [39][4700/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 2.0583 (2.0457)	Prec@1 44.500 (47.314)	Prec@5 77.500 (77.869)
Epoch: [39][4710/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 1.9874 (2.0457)	Prec@1 49.500 (47.318)	Prec@5 77.000 (77.870)
Epoch: [39][4720/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 2.1981 (2.0459)	Prec@1 45.000 (47.315)	Prec@5 72.500 (77.865)
Epoch: [39][4730/9018]	Time 0.639 (0.629)	Data 0.001 (0.001)	Loss 2.3081 (2.0458)	Prec@1 42.000 (47.318)	Prec@5 75.500 (77.867)
Epoch: [39][4740/9018]	Time 0.634 (0.629)	Data 0.001 (0.001)	Loss 1.8105 (2.0459)	Prec@1 48.500 (47.317)	Prec@5 83.000 (77.866)
Epoch: [39][4750/9018]	Time 0.608 (0.629)	Data 0.001 (0.001)	Loss 2.0035 (2.0460)	Prec@1 44.000 (47.313)	Prec@5 78.000 (77.862)
Epoch: [39][4760/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 2.0269 (2.0460)	Prec@1 52.500 (47.314)	Prec@5 80.000 (77.863)
Epoch: [39][4770/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 2.0503 (2.0460)	Prec@1 48.500 (47.314)	Prec@5 78.500 (77.863)
Epoch: [39][4780/9018]	Time 0.615 (0.629)	Data 0.001 (0.001)	Loss 2.0271 (2.0462)	Prec@1 46.000 (47.310)	Prec@5 81.500 (77.859)
Epoch: [39][4790/9018]	Time 0.626 (0.629)	Data 0.001 (0.001)	Loss 2.2056 (2.0461)	Prec@1 42.500 (47.310)	Prec@5 74.500 (77.860)
Epoch: [39][4800/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 1.9184 (2.0462)	Prec@1 49.500 (47.310)	Prec@5 83.500 (77.862)
Epoch: [39][4810/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 2.0807 (2.0463)	Prec@1 42.500 (47.304)	Prec@5 78.500 (77.859)
Epoch: [39][4820/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.0570 (2.0464)	Prec@1 46.500 (47.303)	Prec@5 76.000 (77.856)
Epoch: [39][4830/9018]	Time 0.614 (0.629)	Data 0.001 (0.001)	Loss 2.1481 (2.0465)	Prec@1 48.500 (47.301)	Prec@5 73.500 (77.854)
Epoch: [39][4840/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 1.9666 (2.0466)	Prec@1 47.000 (47.303)	Prec@5 79.000 (77.851)
Epoch: [39][4850/9018]	Time 0.767 (0.629)	Data 0.001 (0.001)	Loss 2.1510 (2.0466)	Prec@1 47.500 (47.304)	Prec@5 72.500 (77.850)
Epoch: [39][4860/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 1.9152 (2.0467)	Prec@1 48.000 (47.302)	Prec@5 80.500 (77.850)
Epoch: [39][4870/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 2.1620 (2.0467)	Prec@1 43.500 (47.300)	Prec@5 75.500 (77.848)
Epoch: [39][4880/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 2.0524 (2.0466)	Prec@1 51.500 (47.301)	Prec@5 76.500 (77.850)
Epoch: [39][4890/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 1.9711 (2.0467)	Prec@1 48.500 (47.300)	Prec@5 79.500 (77.851)
Epoch: [39][4900/9018]	Time 0.609 (0.629)	Data 0.001 (0.001)	Loss 1.8015 (2.0468)	Prec@1 52.000 (47.299)	Prec@5 82.000 (77.850)
Epoch: [39][4910/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 2.1400 (2.0469)	Prec@1 45.500 (47.299)	Prec@5 76.500 (77.848)
Epoch: [39][4920/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 2.1163 (2.0468)	Prec@1 42.000 (47.297)	Prec@5 77.500 (77.849)
Epoch: [39][4930/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 2.1728 (2.0468)	Prec@1 46.000 (47.297)	Prec@5 75.000 (77.849)
Epoch: [39][4940/9018]	Time 0.624 (0.629)	Data 0.001 (0.001)	Loss 1.9140 (2.0468)	Prec@1 49.000 (47.298)	Prec@5 76.500 (77.849)
Epoch: [39][4950/9018]	Time 0.612 (0.629)	Data 0.001 (0.001)	Loss 2.1799 (2.0469)	Prec@1 45.500 (47.295)	Prec@5 76.000 (77.847)
Epoch: [39][4960/9018]	Time 0.616 (0.629)	Data 0.001 (0.001)	Loss 2.2081 (2.0468)	Prec@1 43.500 (47.298)	Prec@5 75.000 (77.848)
Epoch: [39][4970/9018]	Time 0.632 (0.629)	Data 0.001 (0.001)	Loss 2.0453 (2.0468)	Prec@1 48.000 (47.299)	Prec@5 76.500 (77.851)
Epoch: [39][4980/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 1.9072 (2.0468)	Prec@1 48.500 (47.297)	Prec@5 79.500 (77.849)
Epoch: [39][4990/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 1.9475 (2.0468)	Prec@1 48.000 (47.298)	Prec@5 82.500 (77.848)
Epoch: [39][5000/9018]	Time 0.624 (0.629)	Data 0.001 (0.001)	Loss 1.8967 (2.0467)	Prec@1 51.500 (47.298)	Prec@5 81.500 (77.851)
Epoch: [39][5010/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 1.8642 (2.0466)	Prec@1 48.000 (47.302)	Prec@5 80.500 (77.854)
Epoch: [39][5020/9018]	Time 0.629 (0.629)	Data 0.001 (0.001)	Loss 2.1254 (2.0467)	Prec@1 52.500 (47.303)	Prec@5 79.000 (77.851)
Epoch: [39][5030/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.1007 (2.0466)	Prec@1 48.500 (47.303)	Prec@5 78.000 (77.853)
Epoch: [39][5040/9018]	Time 0.632 (0.629)	Data 0.001 (0.001)	Loss 1.8705 (2.0466)	Prec@1 51.500 (47.305)	Prec@5 83.000 (77.852)
Epoch: [39][5050/9018]	Time 0.615 (0.629)	Data 0.001 (0.001)	Loss 1.9466 (2.0467)	Prec@1 51.000 (47.302)	Prec@5 77.000 (77.850)
Epoch: [39][5060/9018]	Time 0.618 (0.629)	Data 0.001 (0.001)	Loss 2.1492 (2.0467)	Prec@1 44.000 (47.302)	Prec@5 80.000 (77.851)
Epoch: [39][5070/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 2.0795 (2.0468)	Prec@1 45.500 (47.300)	Prec@5 76.500 (77.848)
Epoch: [39][5080/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 1.8785 (2.0467)	Prec@1 51.000 (47.302)	Prec@5 81.500 (77.850)
Epoch: [39][5090/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 1.9328 (2.0467)	Prec@1 52.000 (47.301)	Prec@5 79.500 (77.849)
Epoch: [39][5100/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 2.0809 (2.0468)	Prec@1 50.000 (47.302)	Prec@5 72.500 (77.847)
Epoch: [39][5110/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 2.1620 (2.0470)	Prec@1 44.000 (47.300)	Prec@5 76.000 (77.846)
Epoch: [39][5120/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 1.9005 (2.0471)	Prec@1 51.500 (47.298)	Prec@5 82.500 (77.844)
Epoch: [39][5130/9018]	Time 0.751 (0.629)	Data 0.001 (0.001)	Loss 2.3569 (2.0471)	Prec@1 43.000 (47.298)	Prec@5 69.500 (77.844)
Epoch: [39][5140/9018]	Time 0.628 (0.629)	Data 0.001 (0.001)	Loss 2.2399 (2.0473)	Prec@1 46.000 (47.296)	Prec@5 73.000 (77.840)
Epoch: [39][5150/9018]	Time 0.628 (0.629)	Data 0.001 (0.001)	Loss 1.9782 (2.0473)	Prec@1 47.000 (47.296)	Prec@5 81.500 (77.841)
Epoch: [39][5160/9018]	Time 0.614 (0.629)	Data 0.001 (0.001)	Loss 1.9258 (2.0473)	Prec@1 50.000 (47.297)	Prec@5 76.500 (77.841)
Epoch: [39][5170/9018]	Time 0.629 (0.629)	Data 0.001 (0.001)	Loss 2.2232 (2.0473)	Prec@1 42.000 (47.293)	Prec@5 73.500 (77.839)
Epoch: [39][5180/9018]	Time 0.732 (0.629)	Data 0.001 (0.001)	Loss 1.7633 (2.0475)	Prec@1 50.500 (47.295)	Prec@5 82.500 (77.837)
Epoch: [39][5190/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 2.2122 (2.0475)	Prec@1 47.500 (47.293)	Prec@5 74.000 (77.836)
Epoch: [39][5200/9018]	Time 0.606 (0.629)	Data 0.001 (0.001)	Loss 1.8959 (2.0477)	Prec@1 53.500 (47.293)	Prec@5 81.000 (77.832)
Epoch: [39][5210/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 1.9676 (2.0478)	Prec@1 48.500 (47.291)	Prec@5 76.500 (77.829)
Epoch: [39][5220/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 1.9489 (2.0477)	Prec@1 45.500 (47.292)	Prec@5 77.000 (77.828)
Epoch: [39][5230/9018]	Time 0.633 (0.629)	Data 0.001 (0.001)	Loss 1.9864 (2.0476)	Prec@1 48.500 (47.294)	Prec@5 81.500 (77.832)
Epoch: [39][5240/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 2.1347 (2.0477)	Prec@1 46.500 (47.292)	Prec@5 75.000 (77.830)
Epoch: [39][5250/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 2.1442 (2.0477)	Prec@1 44.500 (47.292)	Prec@5 76.500 (77.830)
Epoch: [39][5260/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 2.2493 (2.0478)	Prec@1 43.000 (47.291)	Prec@5 72.500 (77.829)
Epoch: [39][5270/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 1.8353 (2.0477)	Prec@1 50.000 (47.296)	Prec@5 80.000 (77.831)
Epoch: [39][5280/9018]	Time 0.616 (0.629)	Data 0.001 (0.001)	Loss 2.3572 (2.0478)	Prec@1 43.500 (47.293)	Prec@5 72.500 (77.830)
Epoch: [39][5290/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 2.2453 (2.0477)	Prec@1 47.000 (47.294)	Prec@5 73.000 (77.829)
Epoch: [39][5300/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 2.0341 (2.0477)	Prec@1 48.000 (47.295)	Prec@5 77.500 (77.830)
Epoch: [39][5310/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 1.9982 (2.0478)	Prec@1 47.500 (47.294)	Prec@5 77.000 (77.826)
Epoch: [39][5320/9018]	Time 0.624 (0.629)	Data 0.001 (0.001)	Loss 2.1268 (2.0477)	Prec@1 45.000 (47.294)	Prec@5 78.000 (77.828)
Epoch: [39][5330/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 2.0794 (2.0477)	Prec@1 49.500 (47.294)	Prec@5 78.500 (77.829)
Epoch: [39][5340/9018]	Time 0.618 (0.629)	Data 0.001 (0.001)	Loss 2.1263 (2.0476)	Prec@1 44.000 (47.293)	Prec@5 75.500 (77.830)
Epoch: [39][5350/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 2.1197 (2.0476)	Prec@1 46.500 (47.296)	Prec@5 75.500 (77.830)
Epoch: [39][5360/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 2.2420 (2.0477)	Prec@1 42.500 (47.294)	Prec@5 74.500 (77.830)
Epoch: [39][5370/9018]	Time 0.624 (0.629)	Data 0.001 (0.001)	Loss 2.0052 (2.0477)	Prec@1 49.000 (47.294)	Prec@5 80.500 (77.828)
Epoch: [39][5380/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 1.7283 (2.0475)	Prec@1 57.500 (47.299)	Prec@5 80.500 (77.831)
Epoch: [39][5390/9018]	Time 0.616 (0.629)	Data 0.001 (0.001)	Loss 2.1421 (2.0475)	Prec@1 51.000 (47.302)	Prec@5 71.500 (77.830)
Epoch: [39][5400/9018]	Time 0.627 (0.629)	Data 0.001 (0.001)	Loss 1.8617 (2.0474)	Prec@1 53.000 (47.303)	Prec@5 81.500 (77.834)
Epoch: [39][5410/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 2.2080 (2.0475)	Prec@1 43.500 (47.301)	Prec@5 76.000 (77.834)
Epoch: [39][5420/9018]	Time 0.618 (0.629)	Data 0.001 (0.001)	Loss 1.8617 (2.0475)	Prec@1 52.500 (47.302)	Prec@5 82.000 (77.833)
Epoch: [39][5430/9018]	Time 0.633 (0.629)	Data 0.001 (0.001)	Loss 2.1183 (2.0476)	Prec@1 48.500 (47.302)	Prec@5 77.500 (77.831)
Epoch: [39][5440/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 2.1486 (2.0477)	Prec@1 49.000 (47.299)	Prec@5 73.000 (77.831)
Epoch: [39][5450/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 2.0111 (2.0477)	Prec@1 45.500 (47.297)	Prec@5 78.000 (77.831)
Epoch: [39][5460/9018]	Time 0.728 (0.629)	Data 0.001 (0.001)	Loss 2.3343 (2.0477)	Prec@1 36.500 (47.298)	Prec@5 74.000 (77.834)
Epoch: [39][5470/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 2.2752 (2.0476)	Prec@1 46.000 (47.301)	Prec@5 72.000 (77.834)
Epoch: [39][5480/9018]	Time 0.615 (0.629)	Data 0.001 (0.001)	Loss 2.1781 (2.0475)	Prec@1 48.500 (47.304)	Prec@5 71.500 (77.835)
Epoch: [39][5490/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 2.0040 (2.0475)	Prec@1 45.000 (47.305)	Prec@5 80.500 (77.837)
Epoch: [39][5500/9018]	Time 0.626 (0.629)	Data 0.001 (0.001)	Loss 2.1501 (2.0475)	Prec@1 46.500 (47.307)	Prec@5 74.500 (77.836)
Epoch: [39][5510/9018]	Time 0.744 (0.629)	Data 0.001 (0.001)	Loss 2.3356 (2.0476)	Prec@1 40.500 (47.308)	Prec@5 73.000 (77.833)
Epoch: [39][5520/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 2.1659 (2.0476)	Prec@1 44.500 (47.308)	Prec@5 71.000 (77.832)
Epoch: [39][5530/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.3912 (2.0478)	Prec@1 38.000 (47.304)	Prec@5 71.500 (77.830)
Epoch: [39][5540/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 1.8560 (2.0477)	Prec@1 54.000 (47.307)	Prec@5 81.000 (77.832)
Epoch: [39][5550/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 2.1251 (2.0478)	Prec@1 47.000 (47.306)	Prec@5 78.500 (77.832)
Epoch: [39][5560/9018]	Time 0.610 (0.629)	Data 0.001 (0.001)	Loss 2.0869 (2.0478)	Prec@1 43.500 (47.303)	Prec@5 79.000 (77.831)
Epoch: [39][5570/9018]	Time 0.624 (0.629)	Data 0.001 (0.001)	Loss 1.9686 (2.0478)	Prec@1 50.000 (47.304)	Prec@5 79.500 (77.830)
Epoch: [39][5580/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 2.0182 (2.0479)	Prec@1 47.500 (47.305)	Prec@5 78.000 (77.829)
Epoch: [39][5590/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 2.1222 (2.0478)	Prec@1 44.500 (47.307)	Prec@5 77.000 (77.829)
Epoch: [39][5600/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.1388 (2.0479)	Prec@1 45.500 (47.306)	Prec@5 75.500 (77.830)
Epoch: [39][5610/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.1858 (2.0479)	Prec@1 43.500 (47.307)	Prec@5 74.500 (77.828)
Epoch: [39][5620/9018]	Time 0.628 (0.629)	Data 0.001 (0.001)	Loss 2.0903 (2.0480)	Prec@1 41.000 (47.304)	Prec@5 80.000 (77.828)
Epoch: [39][5630/9018]	Time 0.624 (0.629)	Data 0.001 (0.001)	Loss 2.0340 (2.0478)	Prec@1 45.000 (47.307)	Prec@5 74.500 (77.829)
Epoch: [39][5640/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 2.1307 (2.0478)	Prec@1 41.500 (47.307)	Prec@5 77.500 (77.829)
Epoch: [39][5650/9018]	Time 0.614 (0.629)	Data 0.001 (0.001)	Loss 2.0991 (2.0478)	Prec@1 47.000 (47.310)	Prec@5 80.000 (77.831)
Epoch: [39][5660/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 2.3271 (2.0478)	Prec@1 39.500 (47.309)	Prec@5 73.000 (77.833)
Epoch: [39][5670/9018]	Time 0.630 (0.629)	Data 0.001 (0.001)	Loss 2.1630 (2.0478)	Prec@1 44.500 (47.308)	Prec@5 78.000 (77.833)
Epoch: [39][5680/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 2.0576 (2.0478)	Prec@1 47.000 (47.308)	Prec@5 77.000 (77.834)
Epoch: [39][5690/9018]	Time 0.624 (0.629)	Data 0.001 (0.001)	Loss 2.2004 (2.0478)	Prec@1 43.000 (47.306)	Prec@5 74.500 (77.833)
Epoch: [39][5700/9018]	Time 0.624 (0.629)	Data 0.001 (0.001)	Loss 1.8606 (2.0479)	Prec@1 53.500 (47.305)	Prec@5 83.500 (77.830)
Epoch: [39][5710/9018]	Time 0.627 (0.629)	Data 0.001 (0.001)	Loss 2.2239 (2.0479)	Prec@1 43.500 (47.304)	Prec@5 76.500 (77.830)
Epoch: [39][5720/9018]	Time 0.624 (0.629)	Data 0.001 (0.001)	Loss 2.1561 (2.0479)	Prec@1 42.500 (47.306)	Prec@5 74.000 (77.831)
Epoch: [39][5730/9018]	Time 0.614 (0.629)	Data 0.001 (0.001)	Loss 1.9720 (2.0479)	Prec@1 51.000 (47.307)	Prec@5 80.500 (77.830)
Epoch: [39][5740/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 2.2244 (2.0478)	Prec@1 43.500 (47.307)	Prec@5 74.000 (77.829)
Epoch: [39][5750/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 2.0106 (2.0478)	Prec@1 48.500 (47.308)	Prec@5 80.000 (77.830)
Epoch: [39][5760/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 1.8699 (2.0477)	Prec@1 54.000 (47.309)	Prec@5 80.500 (77.832)
Epoch: [39][5770/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 2.2347 (2.0477)	Prec@1 46.500 (47.307)	Prec@5 73.000 (77.831)
Epoch: [39][5780/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 2.1557 (2.0478)	Prec@1 48.000 (47.308)	Prec@5 74.500 (77.827)
Epoch: [39][5790/9018]	Time 0.760 (0.629)	Data 0.001 (0.001)	Loss 2.2512 (2.0478)	Prec@1 45.500 (47.309)	Prec@5 69.500 (77.825)
Epoch: [39][5800/9018]	Time 0.618 (0.629)	Data 0.001 (0.001)	Loss 2.0936 (2.0478)	Prec@1 46.000 (47.311)	Prec@5 77.000 (77.824)
Epoch: [39][5810/9018]	Time 0.615 (0.629)	Data 0.001 (0.001)	Loss 2.0819 (2.0478)	Prec@1 47.500 (47.312)	Prec@5 74.000 (77.823)
Epoch: [39][5820/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 2.2453 (2.0478)	Prec@1 47.500 (47.312)	Prec@5 73.500 (77.823)
Epoch: [39][5830/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 1.8541 (2.0478)	Prec@1 49.000 (47.313)	Prec@5 82.000 (77.823)
Epoch: [39][5840/9018]	Time 0.735 (0.629)	Data 0.001 (0.001)	Loss 2.0362 (2.0478)	Prec@1 46.500 (47.313)	Prec@5 79.000 (77.822)
Epoch: [39][5850/9018]	Time 0.624 (0.629)	Data 0.001 (0.001)	Loss 2.1839 (2.0477)	Prec@1 43.500 (47.314)	Prec@5 74.500 (77.824)
Epoch: [39][5860/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 2.1265 (2.0477)	Prec@1 44.500 (47.312)	Prec@5 78.500 (77.824)
Epoch: [39][5870/9018]	Time 0.626 (0.629)	Data 0.001 (0.001)	Loss 2.0877 (2.0478)	Prec@1 43.500 (47.309)	Prec@5 75.500 (77.822)
Epoch: [39][5880/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 2.0323 (2.0477)	Prec@1 49.000 (47.311)	Prec@5 78.000 (77.823)
Epoch: [39][5890/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 2.0733 (2.0477)	Prec@1 44.500 (47.310)	Prec@5 78.000 (77.823)
Epoch: [39][5900/9018]	Time 0.628 (0.629)	Data 0.001 (0.001)	Loss 2.1001 (2.0477)	Prec@1 44.500 (47.312)	Prec@5 78.500 (77.824)
Epoch: [39][5910/9018]	Time 0.630 (0.629)	Data 0.001 (0.001)	Loss 2.0434 (2.0477)	Prec@1 42.000 (47.311)	Prec@5 76.500 (77.822)
Epoch: [39][5920/9018]	Time 0.618 (0.629)	Data 0.001 (0.001)	Loss 2.0131 (2.0477)	Prec@1 46.000 (47.311)	Prec@5 77.500 (77.823)
Epoch: [39][5930/9018]	Time 0.627 (0.629)	Data 0.001 (0.001)	Loss 2.3761 (2.0477)	Prec@1 40.500 (47.309)	Prec@5 73.000 (77.824)
Epoch: [39][5940/9018]	Time 0.627 (0.629)	Data 0.001 (0.001)	Loss 1.9788 (2.0478)	Prec@1 52.000 (47.308)	Prec@5 77.000 (77.821)
Epoch: [39][5950/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.0508 (2.0477)	Prec@1 47.000 (47.306)	Prec@5 78.000 (77.823)
Epoch: [39][5960/9018]	Time 0.627 (0.629)	Data 0.001 (0.001)	Loss 1.9642 (2.0477)	Prec@1 49.000 (47.306)	Prec@5 79.000 (77.825)
Epoch: [39][5970/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.2087 (2.0479)	Prec@1 45.500 (47.303)	Prec@5 73.500 (77.822)
Epoch: [39][5980/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 2.0718 (2.0479)	Prec@1 42.000 (47.303)	Prec@5 77.500 (77.822)
Epoch: [39][5990/9018]	Time 0.633 (0.629)	Data 0.001 (0.001)	Loss 2.2330 (2.0479)	Prec@1 38.500 (47.302)	Prec@5 75.500 (77.821)
Epoch: [39][6000/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 1.8737 (2.0480)	Prec@1 51.500 (47.303)	Prec@5 79.500 (77.819)
Epoch: [39][6010/9018]	Time 0.629 (0.629)	Data 0.001 (0.001)	Loss 2.0380 (2.0481)	Prec@1 45.500 (47.299)	Prec@5 81.000 (77.817)
Epoch: [39][6020/9018]	Time 0.628 (0.629)	Data 0.001 (0.001)	Loss 2.4350 (2.0482)	Prec@1 38.500 (47.296)	Prec@5 71.000 (77.814)
Epoch: [39][6030/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.0965 (2.0484)	Prec@1 48.500 (47.294)	Prec@5 75.000 (77.813)
Epoch: [39][6040/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 1.9420 (2.0484)	Prec@1 50.000 (47.294)	Prec@5 82.500 (77.813)
Epoch: [39][6050/9018]	Time 0.632 (0.629)	Data 0.001 (0.001)	Loss 2.2494 (2.0484)	Prec@1 46.500 (47.295)	Prec@5 73.500 (77.812)
Epoch: [39][6060/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 2.1705 (2.0485)	Prec@1 46.000 (47.293)	Prec@5 76.000 (77.812)
Epoch: [39][6070/9018]	Time 0.614 (0.629)	Data 0.001 (0.001)	Loss 2.0772 (2.0485)	Prec@1 41.500 (47.290)	Prec@5 76.500 (77.811)
Epoch: [39][6080/9018]	Time 0.625 (0.629)	Data 0.001 (0.001)	Loss 2.2045 (2.0486)	Prec@1 45.000 (47.289)	Prec@5 75.500 (77.809)
Epoch: [39][6090/9018]	Time 0.623 (0.629)	Data 0.001 (0.001)	Loss 2.0689 (2.0486)	Prec@1 48.000 (47.290)	Prec@5 80.500 (77.810)
Epoch: [39][6100/9018]	Time 0.629 (0.629)	Data 0.001 (0.001)	Loss 1.8131 (2.0486)	Prec@1 57.500 (47.291)	Prec@5 82.000 (77.811)
Epoch: [39][6110/9018]	Time 0.620 (0.629)	Data 0.001 (0.001)	Loss 1.9100 (2.0485)	Prec@1 47.500 (47.291)	Prec@5 79.500 (77.810)
Epoch: [39][6120/9018]	Time 0.751 (0.629)	Data 0.001 (0.001)	Loss 2.0139 (2.0485)	Prec@1 49.000 (47.290)	Prec@5 78.000 (77.811)
Epoch: [39][6130/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 1.7714 (2.0484)	Prec@1 52.500 (47.291)	Prec@5 82.000 (77.812)
Epoch: [39][6140/9018]	Time 0.627 (0.629)	Data 0.001 (0.001)	Loss 2.3224 (2.0485)	Prec@1 43.500 (47.290)	Prec@5 73.000 (77.812)
Epoch: [39][6150/9018]	Time 0.619 (0.629)	Data 0.001 (0.001)	Loss 2.1554 (2.0485)	Prec@1 44.500 (47.290)	Prec@5 73.500 (77.811)
Epoch: [39][6160/9018]	Time 0.621 (0.629)	Data 0.001 (0.001)	Loss 1.9872 (2.0486)	Prec@1 45.000 (47.287)	Prec@5 78.000 (77.810)
Epoch: [39][6170/9018]	Time 0.743 (0.629)	Data 0.001 (0.001)	Loss 1.8948 (2.0486)	Prec@1 48.500 (47.286)	Prec@5 78.500 (77.811)
Epoch: [39][6180/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 1.7146 (2.0484)	Prec@1 52.000 (47.288)	Prec@5 83.000 (77.812)
Epoch: [39][6190/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.0442 (2.0485)	Prec@1 51.500 (47.288)	Prec@5 80.000 (77.812)
Epoch: [39][6200/9018]	Time 0.629 (0.629)	Data 0.001 (0.001)	Loss 2.1894 (2.0485)	Prec@1 43.000 (47.288)	Prec@5 72.500 (77.810)
Epoch: [39][6210/9018]	Time 0.622 (0.629)	Data 0.001 (0.001)	Loss 2.2153 (2.0484)	Prec@1 43.500 (47.291)	Prec@5 76.500 (77.811)
Epoch: [39][6220/9018]	Time 0.613 (0.629)	Data 0.001 (0.001)	Loss 1.9531 (2.0485)	Prec@1 47.500 (47.291)	Prec@5 83.000 (77.812)
Epoch: [39][6230/9018]	Time 0.609 (0.629)	Data 0.001 (0.001)	Loss 2.0663 (2.0485)	Prec@1 46.500 (47.292)	Prec@5 79.500 (77.810)
Epoch: [39][6240/9018]	Time 0.593 (0.629)	Data 0.001 (0.001)	Loss 2.0657 (2.0485)	Prec@1 53.000 (47.291)	Prec@5 73.000 (77.810)
Epoch: [39][6250/9018]	Time 0.602 (0.629)	Data 0.001 (0.001)	Loss 1.9472 (2.0486)	Prec@1 45.000 (47.290)	Prec@5 79.500 (77.808)
Epoch: [39][6260/9018]	Time 0.605 (0.629)	Data 0.001 (0.001)	Loss 2.2906 (2.0487)	Prec@1 41.000 (47.291)	Prec@5 70.500 (77.805)
Epoch: [39][6270/9018]	Time 0.631 (0.629)	Data 0.001 (0.001)	Loss 2.0757 (2.0487)	Prec@1 52.500 (47.291)	Prec@5 74.000 (77.801)
Epoch: [39][6280/9018]	Time 0.613 (0.629)	Data 0.001 (0.001)	Loss 1.9772 (2.0487)	Prec@1 51.500 (47.289)	Prec@5 80.500 (77.802)
Epoch: [39][6290/9018]	Time 0.610 (0.629)	Data 0.001 (0.001)	Loss 1.7319 (2.0488)	Prec@1 55.000 (47.287)	Prec@5 86.500 (77.802)
Epoch: [39][6300/9018]	Time 0.618 (0.629)	Data 0.001 (0.001)	Loss 2.2901 (2.0488)	Prec@1 48.500 (47.287)	Prec@5 77.000 (77.803)
Epoch: [39][6310/9018]	Time 0.602 (0.629)	Data 0.001 (0.001)	Loss 1.8480 (2.0488)	Prec@1 52.500 (47.289)	Prec@5 82.000 (77.803)
Epoch: [39][6320/9018]	Time 0.601 (0.629)	Data 0.001 (0.001)	Loss 2.0910 (2.0489)	Prec@1 46.000 (47.289)	Prec@5 75.500 (77.801)
Epoch: [39][6330/9018]	Time 0.628 (0.629)	Data 0.001 (0.001)	Loss 2.0267 (2.0489)	Prec@1 43.000 (47.288)	Prec@5 80.000 (77.801)
Epoch: [39][6340/9018]	Time 0.598 (0.629)	Data 0.001 (0.001)	Loss 2.1195 (2.0490)	Prec@1 45.500 (47.289)	Prec@5 80.000 (77.801)
Epoch: [39][6350/9018]	Time 0.630 (0.629)	Data 0.001 (0.001)	Loss 2.2504 (2.0491)	Prec@1 46.500 (47.290)	Prec@5 75.000 (77.802)
Epoch: [39][6360/9018]	Time 0.609 (0.629)	Data 0.001 (0.001)	Loss 2.0390 (2.0491)	Prec@1 45.500 (47.289)	Prec@5 78.000 (77.799)
Epoch: [39][6370/9018]	Time 0.589 (0.629)	Data 0.001 (0.001)	Loss 2.1335 (2.0492)	Prec@1 44.500 (47.287)	Prec@5 76.500 (77.799)
Epoch: [39][6380/9018]	Time 0.593 (0.629)	Data 0.001 (0.001)	Loss 1.9971 (2.0491)	Prec@1 50.500 (47.289)	Prec@5 78.500 (77.799)
Epoch: [39][6390/9018]	Time 0.596 (0.629)	Data 0.001 (0.001)	Loss 2.1120 (2.0491)	Prec@1 48.000 (47.290)	Prec@5 78.000 (77.800)
Epoch: [39][6400/9018]	Time 0.618 (0.629)	Data 0.001 (0.001)	Loss 1.8783 (2.0491)	Prec@1 45.500 (47.288)	Prec@5 81.500 (77.800)
Epoch: [39][6410/9018]	Time 0.599 (0.629)	Data 0.001 (0.001)	Loss 2.1666 (2.0491)	Prec@1 49.000 (47.288)	Prec@5 79.000 (77.800)
Epoch: [39][6420/9018]	Time 0.607 (0.629)	Data 0.001 (0.001)	Loss 2.2271 (2.0491)	Prec@1 44.500 (47.288)	Prec@5 74.000 (77.801)
Epoch: [39][6430/9018]	Time 0.617 (0.629)	Data 0.001 (0.001)	Loss 1.9696 (2.0492)	Prec@1 50.500 (47.287)	Prec@5 76.000 (77.798)
Epoch: [39][6440/9018]	Time 0.600 (0.629)	Data 0.001 (0.001)	Loss 1.9716 (2.0493)	Prec@1 50.000 (47.288)	Prec@5 81.000 (77.799)
Epoch: [39][6450/9018]	Time 0.753 (0.629)	Data 0.001 (0.001)	Loss 2.0653 (2.0493)	Prec@1 47.500 (47.290)	Prec@5 77.500 (77.797)
Epoch: [39][6460/9018]	Time 0.607 (0.629)	Data 0.001 (0.001)	Loss 2.1139 (2.0495)	Prec@1 45.000 (47.285)	Prec@5 75.500 (77.794)
Epoch: [39][6470/9018]	Time 0.598 (0.629)	Data 0.001 (0.001)	Loss 2.0952 (2.0495)	Prec@1 49.000 (47.284)	Prec@5 76.000 (77.793)
Epoch: [39][6480/9018]	Time 0.598 (0.629)	Data 0.001 (0.001)	Loss 2.2920 (2.0495)	Prec@1 41.000 (47.287)	Prec@5 75.000 (77.793)
Epoch: [39][6490/9018]	Time 0.597 (0.629)	Data 0.001 (0.001)	Loss 2.1060 (2.0495)	Prec@1 50.500 (47.287)	Prec@5 73.500 (77.794)
Epoch: [39][6500/9018]	Time 0.718 (0.629)	Data 0.001 (0.001)	Loss 1.9903 (2.0495)	Prec@1 47.000 (47.287)	Prec@5 80.500 (77.794)
Epoch: [39][6510/9018]	Time 0.615 (0.629)	Data 0.001 (0.001)	Loss 2.1634 (2.0495)	Prec@1 46.000 (47.285)	Prec@5 77.000 (77.792)
Epoch: [39][6520/9018]	Time 0.604 (0.629)	Data 0.001 (0.001)	Loss 2.0450 (2.0495)	Prec@1 45.000 (47.287)	Prec@5 80.500 (77.794)
Epoch: [39][6530/9018]	Time 0.638 (0.629)	Data 0.001 (0.001)	Loss 1.8881 (2.0495)	Prec@1 51.500 (47.286)	Prec@5 81.000 (77.794)
Epoch: [39][6540/9018]	Time 0.634 (0.629)	Data 0.001 (0.001)	Loss 1.8967 (2.0496)	Prec@1 51.500 (47.282)	Prec@5 80.000 (77.791)
Epoch: [39][6550/9018]	Time 0.603 (0.629)	Data 0.001 (0.001)	Loss 1.9333 (2.0497)	Prec@1 47.500 (47.280)	Prec@5 80.000 (77.789)
Epoch: [39][6560/9018]	Time 0.600 (0.629)	Data 0.001 (0.001)	Loss 2.0954 (2.0497)	Prec@1 49.000 (47.281)	Prec@5 77.000 (77.790)
Epoch: [39][6570/9018]	Time 0.599 (0.629)	Data 0.001 (0.001)	Loss 2.0002 (2.0498)	Prec@1 50.500 (47.279)	Prec@5 76.000 (77.790)
Epoch: [39][6580/9018]	Time 0.599 (0.629)	Data 0.001 (0.001)	Loss 2.0075 (2.0498)	Prec@1 44.000 (47.278)	Prec@5 80.500 (77.792)
Epoch: [39][6590/9018]	Time 0.598 (0.628)	Data 0.001 (0.001)	Loss 2.2266 (2.0498)	Prec@1 45.000 (47.277)	Prec@5 71.500 (77.790)
Epoch: [39][6600/9018]	Time 0.624 (0.628)	Data 0.001 (0.001)	Loss 2.1945 (2.0497)	Prec@1 44.500 (47.279)	Prec@5 77.000 (77.790)
Epoch: [39][6610/9018]	Time 0.632 (0.628)	Data 0.001 (0.001)	Loss 2.0155 (2.0497)	Prec@1 51.000 (47.278)	Prec@5 79.500 (77.789)
Epoch: [39][6620/9018]	Time 0.604 (0.628)	Data 0.001 (0.001)	Loss 2.3711 (2.0499)	Prec@1 42.500 (47.277)	Prec@5 70.000 (77.786)
Epoch: [39][6630/9018]	Time 0.622 (0.628)	Data 0.001 (0.001)	Loss 2.0977 (2.0499)	Prec@1 44.000 (47.274)	Prec@5 78.000 (77.784)
Epoch: [39][6640/9018]	Time 0.613 (0.628)	Data 0.001 (0.001)	Loss 2.0135 (2.0501)	Prec@1 52.000 (47.273)	Prec@5 78.500 (77.784)
Epoch: [39][6650/9018]	Time 0.598 (0.628)	Data 0.001 (0.001)	Loss 2.0362 (2.0501)	Prec@1 43.500 (47.273)	Prec@5 78.500 (77.783)
Epoch: [39][6660/9018]	Time 0.613 (0.628)	Data 0.001 (0.001)	Loss 1.9301 (2.0501)	Prec@1 46.500 (47.272)	Prec@5 77.000 (77.781)
Epoch: [39][6670/9018]	Time 0.615 (0.628)	Data 0.001 (0.001)	Loss 2.1485 (2.0502)	Prec@1 41.500 (47.268)	Prec@5 74.500 (77.781)
Epoch: [39][6680/9018]	Time 0.598 (0.628)	Data 0.001 (0.001)	Loss 1.7193 (2.0501)	Prec@1 55.500 (47.268)	Prec@5 84.000 (77.782)
Epoch: [39][6690/9018]	Time 0.613 (0.628)	Data 0.001 (0.001)	Loss 2.2010 (2.0501)	Prec@1 48.000 (47.271)	Prec@5 74.000 (77.781)
Epoch: [39][6700/9018]	Time 0.625 (0.628)	Data 0.001 (0.001)	Loss 1.9162 (2.0502)	Prec@1 49.500 (47.270)	Prec@5 79.500 (77.780)
Epoch: [39][6710/9018]	Time 0.599 (0.628)	Data 0.001 (0.001)	Loss 1.8751 (2.0502)	Prec@1 49.000 (47.271)	Prec@5 82.500 (77.780)
Epoch: [39][6720/9018]	Time 0.600 (0.628)	Data 0.001 (0.001)	Loss 1.9755 (2.0501)	Prec@1 46.000 (47.273)	Prec@5 75.500 (77.779)
Epoch: [39][6730/9018]	Time 0.620 (0.628)	Data 0.001 (0.001)	Loss 1.9504 (2.0502)	Prec@1 48.500 (47.273)	Prec@5 77.000 (77.779)
Epoch: [39][6740/9018]	Time 0.625 (0.628)	Data 0.001 (0.001)	Loss 2.1889 (2.0502)	Prec@1 45.000 (47.272)	Prec@5 78.500 (77.779)
Epoch: [39][6750/9018]	Time 0.599 (0.628)	Data 0.001 (0.001)	Loss 2.3574 (2.0502)	Prec@1 41.500 (47.271)	Prec@5 72.000 (77.778)
Epoch: [39][6760/9018]	Time 0.611 (0.628)	Data 0.001 (0.001)	Loss 2.0388 (2.0502)	Prec@1 49.500 (47.271)	Prec@5 79.500 (77.779)
Epoch: [39][6770/9018]	Time 0.597 (0.628)	Data 0.001 (0.001)	Loss 1.9580 (2.0502)	Prec@1 45.000 (47.269)	Prec@5 78.500 (77.780)
Epoch: [39][6780/9018]	Time 0.719 (0.628)	Data 0.001 (0.001)	Loss 1.8221 (2.0502)	Prec@1 54.000 (47.272)	Prec@5 80.000 (77.781)
Epoch: [39][6790/9018]	Time 0.601 (0.628)	Data 0.001 (0.001)	Loss 1.9794 (2.0502)	Prec@1 46.000 (47.272)	Prec@5 81.000 (77.779)
Epoch: [39][6800/9018]	Time 0.600 (0.628)	Data 0.001 (0.001)	Loss 2.0829 (2.0502)	Prec@1 46.000 (47.270)	Prec@5 75.500 (77.779)
Epoch: [39][6810/9018]	Time 0.608 (0.628)	Data 0.001 (0.001)	Loss 1.9723 (2.0502)	Prec@1 49.500 (47.271)	Prec@5 77.500 (77.779)
Epoch: [39][6820/9018]	Time 0.600 (0.628)	Data 0.001 (0.001)	Loss 2.0220 (2.0503)	Prec@1 48.000 (47.269)	Prec@5 79.000 (77.779)
Epoch: [39][6830/9018]	Time 0.752 (0.628)	Data 0.001 (0.001)	Loss 2.0346 (2.0503)	Prec@1 50.500 (47.268)	Prec@5 78.000 (77.779)
Epoch: [39][6840/9018]	Time 0.601 (0.628)	Data 0.001 (0.001)	Loss 2.2928 (2.0503)	Prec@1 41.000 (47.266)	Prec@5 75.500 (77.778)
Epoch: [39][6850/9018]	Time 0.618 (0.628)	Data 0.001 (0.001)	Loss 1.9753 (2.0502)	Prec@1 51.000 (47.268)	Prec@5 78.500 (77.779)
Epoch: [39][6860/9018]	Time 0.602 (0.628)	Data 0.001 (0.001)	Loss 2.1230 (2.0504)	Prec@1 41.500 (47.265)	Prec@5 78.000 (77.775)
Epoch: [39][6870/9018]	Time 0.604 (0.628)	Data 0.001 (0.001)	Loss 2.1612 (2.0503)	Prec@1 45.000 (47.267)	Prec@5 75.000 (77.776)
Epoch: [39][6880/9018]	Time 0.601 (0.628)	Data 0.001 (0.001)	Loss 1.8798 (2.0504)	Prec@1 48.000 (47.265)	Prec@5 78.000 (77.775)
Epoch: [39][6890/9018]	Time 0.612 (0.628)	Data 0.001 (0.001)	Loss 2.0116 (2.0505)	Prec@1 47.500 (47.264)	Prec@5 77.500 (77.773)
Epoch: [39][6900/9018]	Time 0.613 (0.628)	Data 0.001 (0.001)	Loss 2.0958 (2.0504)	Prec@1 45.500 (47.264)	Prec@5 76.500 (77.775)
Epoch: [39][6910/9018]	Time 0.599 (0.628)	Data 0.001 (0.001)	Loss 1.9904 (2.0505)	Prec@1 47.500 (47.261)	Prec@5 82.500 (77.773)
Epoch: [39][6920/9018]	Time 0.597 (0.628)	Data 0.001 (0.001)	Loss 2.1636 (2.0506)	Prec@1 45.500 (47.261)	Prec@5 76.000 (77.771)
Epoch: [39][6930/9018]	Time 0.596 (0.628)	Data 0.001 (0.001)	Loss 2.0192 (2.0507)	Prec@1 46.000 (47.258)	Prec@5 81.000 (77.770)
Epoch: [39][6940/9018]	Time 0.592 (0.628)	Data 0.001 (0.001)	Loss 1.9700 (2.0507)	Prec@1 49.000 (47.256)	Prec@5 79.500 (77.771)
Epoch: [39][6950/9018]	Time 0.602 (0.628)	Data 0.001 (0.001)	Loss 1.9257 (2.0507)	Prec@1 52.000 (47.255)	Prec@5 80.000 (77.770)
Epoch: [39][6960/9018]	Time 0.630 (0.628)	Data 0.001 (0.001)	Loss 2.0416 (2.0507)	Prec@1 48.500 (47.258)	Prec@5 76.500 (77.771)
Epoch: [39][6970/9018]	Time 0.596 (0.628)	Data 0.001 (0.001)	Loss 1.9244 (2.0506)	Prec@1 48.500 (47.261)	Prec@5 79.000 (77.773)
Epoch: [39][6980/9018]	Time 0.631 (0.628)	Data 0.001 (0.001)	Loss 1.9388 (2.0506)	Prec@1 50.000 (47.260)	Prec@5 81.500 (77.774)
Epoch: [39][6990/9018]	Time 0.604 (0.628)	Data 0.001 (0.001)	Loss 2.2820 (2.0506)	Prec@1 47.000 (47.261)	Prec@5 72.000 (77.773)
Epoch: [39][7000/9018]	Time 0.610 (0.628)	Data 0.001 (0.001)	Loss 2.1303 (2.0507)	Prec@1 46.000 (47.260)	Prec@5 77.500 (77.772)
Epoch: [39][7010/9018]	Time 0.609 (0.628)	Data 0.001 (0.001)	Loss 2.0564 (2.0507)	Prec@1 44.000 (47.258)	Prec@5 79.000 (77.771)
Epoch: [39][7020/9018]	Time 0.599 (0.628)	Data 0.001 (0.001)	Loss 1.9211 (2.0507)	Prec@1 50.000 (47.258)	Prec@5 81.500 (77.772)
Epoch: [39][7030/9018]	Time 0.627 (0.628)	Data 0.001 (0.001)	Loss 2.1752 (2.0507)	Prec@1 45.500 (47.255)	Prec@5 77.000 (77.772)
Epoch: [39][7040/9018]	Time 0.591 (0.628)	Data 0.001 (0.001)	Loss 2.1387 (2.0508)	Prec@1 43.000 (47.254)	Prec@5 75.500 (77.770)
Epoch: [39][7050/9018]	Time 0.606 (0.628)	Data 0.001 (0.001)	Loss 2.0689 (2.0509)	Prec@1 48.000 (47.252)	Prec@5 80.500 (77.770)
Epoch: [39][7060/9018]	Time 0.616 (0.628)	Data 0.001 (0.001)	Loss 2.1448 (2.0509)	Prec@1 47.000 (47.253)	Prec@5 74.500 (77.769)
Epoch: [39][7070/9018]	Time 0.618 (0.628)	Data 0.001 (0.001)	Loss 1.9622 (2.0508)	Prec@1 47.000 (47.255)	Prec@5 79.500 (77.772)
Epoch: [39][7080/9018]	Time 0.632 (0.628)	Data 0.001 (0.001)	Loss 2.0369 (2.0508)	Prec@1 49.000 (47.255)	Prec@5 75.500 (77.772)
Epoch: [39][7090/9018]	Time 0.605 (0.628)	Data 0.001 (0.001)	Loss 1.9414 (2.0508)	Prec@1 50.000 (47.255)	Prec@5 78.500 (77.773)
Epoch: [39][7100/9018]	Time 0.599 (0.628)	Data 0.001 (0.001)	Loss 2.1342 (2.0508)	Prec@1 51.000 (47.255)	Prec@5 75.500 (77.772)
Epoch: [39][7110/9018]	Time 0.722 (0.627)	Data 0.001 (0.001)	Loss 2.1019 (2.0509)	Prec@1 46.000 (47.256)	Prec@5 77.000 (77.771)
Epoch: [39][7120/9018]	Time 0.599 (0.627)	Data 0.001 (0.001)	Loss 2.1867 (2.0508)	Prec@1 38.500 (47.255)	Prec@5 75.500 (77.773)
Epoch: [39][7130/9018]	Time 0.597 (0.627)	Data 0.001 (0.001)	Loss 1.8399 (2.0508)	Prec@1 51.500 (47.254)	Prec@5 83.000 (77.772)
Epoch: [39][7140/9018]	Time 0.595 (0.627)	Data 0.001 (0.001)	Loss 1.9584 (2.0508)	Prec@1 47.500 (47.253)	Prec@5 83.500 (77.771)
Epoch: [39][7150/9018]	Time 0.601 (0.627)	Data 0.001 (0.001)	Loss 2.0416 (2.0509)	Prec@1 47.000 (47.251)	Prec@5 76.000 (77.769)
Epoch: [39][7160/9018]	Time 0.753 (0.627)	Data 0.001 (0.001)	Loss 2.1479 (2.0509)	Prec@1 43.000 (47.252)	Prec@5 72.500 (77.770)
Epoch: [39][7170/9018]	Time 0.633 (0.627)	Data 0.001 (0.001)	Loss 2.0219 (2.0509)	Prec@1 45.500 (47.251)	Prec@5 79.500 (77.769)
Epoch: [39][7180/9018]	Time 0.597 (0.627)	Data 0.001 (0.001)	Loss 1.9015 (2.0508)	Prec@1 44.000 (47.252)	Prec@5 83.000 (77.771)
Epoch: [39][7190/9018]	Time 0.629 (0.627)	Data 0.001 (0.001)	Loss 1.9613 (2.0509)	Prec@1 48.000 (47.248)	Prec@5 79.000 (77.769)
Epoch: [39][7200/9018]	Time 0.594 (0.627)	Data 0.001 (0.001)	Loss 1.8710 (2.0508)	Prec@1 53.000 (47.251)	Prec@5 83.500 (77.772)
Epoch: [39][7210/9018]	Time 0.630 (0.627)	Data 0.001 (0.001)	Loss 1.7821 (2.0508)	Prec@1 52.500 (47.250)	Prec@5 82.000 (77.774)
Epoch: [39][7220/9018]	Time 0.612 (0.627)	Data 0.001 (0.001)	Loss 2.0768 (2.0508)	Prec@1 48.000 (47.250)	Prec@5 80.000 (77.774)
Epoch: [39][7230/9018]	Time 0.594 (0.627)	Data 0.001 (0.001)	Loss 2.2820 (2.0508)	Prec@1 43.000 (47.251)	Prec@5 71.000 (77.776)
Epoch: [39][7240/9018]	Time 0.596 (0.627)	Data 0.001 (0.001)	Loss 2.0735 (2.0508)	Prec@1 48.000 (47.252)	Prec@5 73.500 (77.774)
Epoch: [39][7250/9018]	Time 0.600 (0.627)	Data 0.001 (0.001)	Loss 2.0445 (2.0508)	Prec@1 42.500 (47.250)	Prec@5 78.000 (77.773)
Epoch: [39][7260/9018]	Time 0.613 (0.627)	Data 0.001 (0.001)	Loss 1.9502 (2.0508)	Prec@1 46.000 (47.250)	Prec@5 79.500 (77.774)
Epoch: [39][7270/9018]	Time 0.634 (0.627)	Data 0.001 (0.001)	Loss 2.1839 (2.0510)	Prec@1 45.000 (47.247)	Prec@5 74.000 (77.771)
Epoch: [39][7280/9018]	Time 0.598 (0.627)	Data 0.001 (0.001)	Loss 2.2547 (2.0510)	Prec@1 42.500 (47.247)	Prec@5 72.500 (77.769)
Epoch: [39][7290/9018]	Time 0.620 (0.627)	Data 0.001 (0.001)	Loss 1.9313 (2.0509)	Prec@1 51.000 (47.249)	Prec@5 76.500 (77.770)
Epoch: [39][7300/9018]	Time 0.600 (0.627)	Data 0.001 (0.001)	Loss 2.0159 (2.0508)	Prec@1 46.000 (47.251)	Prec@5 78.000 (77.771)
Epoch: [39][7310/9018]	Time 0.603 (0.627)	Data 0.001 (0.001)	Loss 2.0387 (2.0508)	Prec@1 43.000 (47.251)	Prec@5 79.000 (77.773)
Epoch: [39][7320/9018]	Time 0.606 (0.627)	Data 0.001 (0.001)	Loss 1.9241 (2.0507)	Prec@1 52.000 (47.252)	Prec@5 79.500 (77.776)
Epoch: [39][7330/9018]	Time 0.595 (0.627)	Data 0.001 (0.001)	Loss 1.7390 (2.0507)	Prec@1 55.000 (47.252)	Prec@5 81.000 (77.776)
Epoch: [39][7340/9018]	Time 0.596 (0.627)	Data 0.001 (0.001)	Loss 2.1005 (2.0508)	Prec@1 45.000 (47.251)	Prec@5 77.500 (77.775)
Epoch: [39][7350/9018]	Time 0.603 (0.627)	Data 0.001 (0.001)	Loss 2.1860 (2.0509)	Prec@1 40.000 (47.249)	Prec@5 79.000 (77.774)
Epoch: [39][7360/9018]	Time 0.615 (0.627)	Data 0.001 (0.001)	Loss 2.0155 (2.0510)	Prec@1 50.000 (47.249)	Prec@5 78.000 (77.772)
Epoch: [39][7370/9018]	Time 0.629 (0.627)	Data 0.001 (0.001)	Loss 1.9975 (2.0510)	Prec@1 50.500 (47.249)	Prec@5 80.000 (77.772)
Epoch: [39][7380/9018]	Time 0.595 (0.627)	Data 0.001 (0.001)	Loss 2.3881 (2.0511)	Prec@1 44.000 (47.249)	Prec@5 69.000 (77.771)
Epoch: [39][7390/9018]	Time 0.614 (0.627)	Data 0.001 (0.001)	Loss 2.1075 (2.0511)	Prec@1 46.500 (47.249)	Prec@5 76.000 (77.769)
Epoch: [39][7400/9018]	Time 0.598 (0.627)	Data 0.001 (0.001)	Loss 1.9371 (2.0511)	Prec@1 50.500 (47.248)	Prec@5 80.500 (77.768)
Epoch: [39][7410/9018]	Time 0.592 (0.627)	Data 0.001 (0.001)	Loss 2.3193 (2.0513)	Prec@1 44.000 (47.245)	Prec@5 72.000 (77.765)
Epoch: [39][7420/9018]	Time 0.607 (0.627)	Data 0.001 (0.001)	Loss 2.0095 (2.0514)	Prec@1 47.000 (47.242)	Prec@5 76.000 (77.763)
Epoch: [39][7430/9018]	Time 0.599 (0.627)	Data 0.001 (0.001)	Loss 2.0673 (2.0513)	Prec@1 50.000 (47.244)	Prec@5 81.000 (77.764)
Epoch: [39][7440/9018]	Time 0.741 (0.627)	Data 0.001 (0.001)	Loss 2.0555 (2.0514)	Prec@1 46.500 (47.242)	Prec@5 76.500 (77.764)
Epoch: [39][7450/9018]	Time 0.595 (0.627)	Data 0.001 (0.001)	Loss 2.1099 (2.0515)	Prec@1 48.000 (47.241)	Prec@5 76.500 (77.764)
Epoch: [39][7460/9018]	Time 0.593 (0.627)	Data 0.001 (0.001)	Loss 2.0825 (2.0515)	Prec@1 51.500 (47.241)	Prec@5 77.500 (77.764)
Epoch: [39][7470/9018]	Time 0.601 (0.627)	Data 0.001 (0.001)	Loss 2.0998 (2.0514)	Prec@1 43.000 (47.242)	Prec@5 78.000 (77.765)
Epoch: [39][7480/9018]	Time 0.637 (0.627)	Data 0.001 (0.001)	Loss 1.8137 (2.0515)	Prec@1 49.000 (47.242)	Prec@5 79.000 (77.764)
Epoch: [39][7490/9018]	Time 0.721 (0.627)	Data 0.001 (0.001)	Loss 2.3124 (2.0516)	Prec@1 44.500 (47.241)	Prec@5 74.000 (77.762)
Epoch: [39][7500/9018]	Time 0.615 (0.627)	Data 0.001 (0.001)	Loss 1.9893 (2.0516)	Prec@1 46.000 (47.240)	Prec@5 81.000 (77.762)
Epoch: [39][7510/9018]	Time 0.621 (0.627)	Data 0.001 (0.001)	Loss 2.0092 (2.0515)	Prec@1 47.000 (47.242)	Prec@5 78.000 (77.764)
Epoch: [39][7520/9018]	Time 0.597 (0.627)	Data 0.001 (0.001)	Loss 1.9387 (2.0515)	Prec@1 46.000 (47.242)	Prec@5 84.000 (77.765)
Epoch: [39][7530/9018]	Time 0.597 (0.627)	Data 0.001 (0.001)	Loss 1.9871 (2.0516)	Prec@1 50.000 (47.242)	Prec@5 78.000 (77.764)
Epoch: [39][7540/9018]	Time 0.613 (0.627)	Data 0.001 (0.001)	Loss 1.9709 (2.0516)	Prec@1 50.500 (47.242)	Prec@5 76.000 (77.763)
Epoch: [39][7550/9018]	Time 0.630 (0.627)	Data 0.001 (0.001)	Loss 1.9815 (2.0517)	Prec@1 50.500 (47.243)	Prec@5 80.500 (77.762)
Epoch: [39][7560/9018]	Time 0.627 (0.627)	Data 0.001 (0.001)	Loss 2.1313 (2.0517)	Prec@1 48.000 (47.242)	Prec@5 80.000 (77.761)
Epoch: [39][7570/9018]	Time 0.593 (0.627)	Data 0.001 (0.001)	Loss 2.1274 (2.0516)	Prec@1 42.000 (47.241)	Prec@5 76.500 (77.762)
Epoch: [39][7580/9018]	Time 0.596 (0.627)	Data 0.001 (0.001)	Loss 1.8248 (2.0516)	Prec@1 50.500 (47.241)	Prec@5 80.000 (77.763)
Epoch: [39][7590/9018]	Time 0.624 (0.627)	Data 0.001 (0.001)	Loss 1.9572 (2.0516)	Prec@1 49.000 (47.240)	Prec@5 80.000 (77.763)
Epoch: [39][7600/9018]	Time 0.597 (0.627)	Data 0.001 (0.001)	Loss 1.8771 (2.0516)	Prec@1 47.000 (47.240)	Prec@5 79.000 (77.763)
Epoch: [39][7610/9018]	Time 0.592 (0.627)	Data 0.001 (0.001)	Loss 2.2526 (2.0516)	Prec@1 40.500 (47.239)	Prec@5 74.500 (77.763)
Epoch: [39][7620/9018]	Time 0.613 (0.627)	Data 0.001 (0.001)	Loss 1.9375 (2.0516)	Prec@1 50.000 (47.239)	Prec@5 80.000 (77.762)
Epoch: [39][7630/9018]	Time 0.595 (0.627)	Data 0.001 (0.001)	Loss 2.1096 (2.0516)	Prec@1 47.000 (47.239)	Prec@5 77.000 (77.761)
Epoch: [39][7640/9018]	Time 0.629 (0.627)	Data 0.001 (0.001)	Loss 2.2080 (2.0516)	Prec@1 43.000 (47.237)	Prec@5 73.500 (77.762)
Epoch: [39][7650/9018]	Time 0.595 (0.627)	Data 0.001 (0.001)	Loss 2.1759 (2.0516)	Prec@1 44.500 (47.237)	Prec@5 73.000 (77.764)
Epoch: [39][7660/9018]	Time 0.599 (0.627)	Data 0.001 (0.001)	Loss 2.2406 (2.0515)	Prec@1 41.000 (47.239)	Prec@5 73.000 (77.764)
Epoch: [39][7670/9018]	Time 0.600 (0.627)	Data 0.001 (0.001)	Loss 2.0156 (2.0515)	Prec@1 46.500 (47.239)	Prec@5 78.000 (77.764)
Epoch: [39][7680/9018]	Time 0.591 (0.627)	Data 0.001 (0.001)	Loss 1.9552 (2.0514)	Prec@1 48.000 (47.238)	Prec@5 77.000 (77.765)
Epoch: [39][7690/9018]	Time 0.600 (0.627)	Data 0.001 (0.001)	Loss 1.9221 (2.0515)	Prec@1 51.000 (47.237)	Prec@5 81.500 (77.767)
Epoch: [39][7700/9018]	Time 0.620 (0.627)	Data 0.001 (0.001)	Loss 1.7244 (2.0515)	Prec@1 54.000 (47.238)	Prec@5 83.500 (77.766)
Epoch: [39][7710/9018]	Time 0.607 (0.627)	Data 0.001 (0.001)	Loss 2.0765 (2.0515)	Prec@1 45.500 (47.239)	Prec@5 74.000 (77.764)
Epoch: [39][7720/9018]	Time 0.623 (0.626)	Data 0.001 (0.001)	Loss 1.9516 (2.0515)	Prec@1 48.000 (47.239)	Prec@5 82.500 (77.766)
Epoch: [39][7730/9018]	Time 0.593 (0.626)	Data 0.001 (0.001)	Loss 2.1280 (2.0515)	Prec@1 44.000 (47.237)	Prec@5 75.500 (77.765)
Epoch: [39][7740/9018]	Time 0.616 (0.626)	Data 0.001 (0.001)	Loss 2.2755 (2.0515)	Prec@1 45.000 (47.235)	Prec@5 73.000 (77.763)
Epoch: [39][7750/9018]	Time 0.603 (0.626)	Data 0.001 (0.001)	Loss 2.0660 (2.0515)	Prec@1 52.000 (47.237)	Prec@5 75.500 (77.764)
Epoch: [39][7760/9018]	Time 0.596 (0.626)	Data 0.001 (0.001)	Loss 2.1770 (2.0514)	Prec@1 46.000 (47.238)	Prec@5 75.500 (77.765)
Epoch: [39][7770/9018]	Time 0.723 (0.626)	Data 0.001 (0.001)	Loss 1.9563 (2.0515)	Prec@1 52.500 (47.239)	Prec@5 79.500 (77.763)
Epoch: [39][7780/9018]	Time 0.604 (0.626)	Data 0.001 (0.001)	Loss 2.0910 (2.0515)	Prec@1 42.500 (47.238)	Prec@5 78.000 (77.763)
Epoch: [39][7790/9018]	Time 0.596 (0.626)	Data 0.001 (0.001)	Loss 2.2144 (2.0515)	Prec@1 42.500 (47.238)	Prec@5 73.500 (77.763)
Epoch: [39][7800/9018]	Time 0.604 (0.626)	Data 0.001 (0.001)	Loss 1.8337 (2.0515)	Prec@1 56.000 (47.238)	Prec@5 78.000 (77.762)
Epoch: [39][7810/9018]	Time 0.604 (0.626)	Data 0.001 (0.001)	Loss 1.9643 (2.0515)	Prec@1 47.500 (47.240)	Prec@5 81.000 (77.762)
Epoch: [39][7820/9018]	Time 0.742 (0.626)	Data 0.001 (0.001)	Loss 1.9481 (2.0515)	Prec@1 51.500 (47.239)	Prec@5 77.500 (77.761)
Epoch: [39][7830/9018]	Time 0.613 (0.626)	Data 0.001 (0.001)	Loss 2.1163 (2.0515)	Prec@1 51.500 (47.240)	Prec@5 73.000 (77.761)
Epoch: [39][7840/9018]	Time 0.601 (0.626)	Data 0.001 (0.001)	Loss 2.0104 (2.0515)	Prec@1 45.500 (47.240)	Prec@5 78.000 (77.761)
Epoch: [39][7850/9018]	Time 0.634 (0.626)	Data 0.001 (0.001)	Loss 2.0295 (2.0515)	Prec@1 46.500 (47.240)	Prec@5 80.500 (77.761)
Epoch: [39][7860/9018]	Time 0.626 (0.626)	Data 0.001 (0.001)	Loss 2.1484 (2.0515)	Prec@1 42.500 (47.239)	Prec@5 76.000 (77.761)
Epoch: [39][7870/9018]	Time 0.600 (0.626)	Data 0.001 (0.001)	Loss 2.0806 (2.0515)	Prec@1 48.500 (47.239)	Prec@5 79.500 (77.762)
Epoch: [39][7880/9018]	Time 0.629 (0.626)	Data 0.001 (0.001)	Loss 1.9291 (2.0515)	Prec@1 49.500 (47.238)	Prec@5 80.500 (77.763)
Epoch: [39][7890/9018]	Time 0.599 (0.626)	Data 0.001 (0.001)	Loss 1.8460 (2.0515)	Prec@1 49.500 (47.239)	Prec@5 82.000 (77.763)
Epoch: [39][7900/9018]	Time 0.591 (0.626)	Data 0.001 (0.001)	Loss 2.0898 (2.0516)	Prec@1 43.500 (47.238)	Prec@5 74.000 (77.760)
Epoch: [39][7910/9018]	Time 0.600 (0.626)	Data 0.001 (0.001)	Loss 2.0338 (2.0516)	Prec@1 44.500 (47.239)	Prec@5 78.000 (77.760)
Epoch: [39][7920/9018]	Time 0.595 (0.626)	Data 0.001 (0.001)	Loss 2.1350 (2.0516)	Prec@1 44.500 (47.238)	Prec@5 75.000 (77.759)
Epoch: [39][7930/9018]	Time 0.593 (0.626)	Data 0.001 (0.001)	Loss 2.3041 (2.0516)	Prec@1 42.000 (47.238)	Prec@5 71.500 (77.758)
Epoch: [39][7940/9018]	Time 0.632 (0.626)	Data 0.001 (0.001)	Loss 2.1528 (2.0517)	Prec@1 47.000 (47.236)	Prec@5 72.000 (77.756)
Epoch: [39][7950/9018]	Time 0.591 (0.626)	Data 0.001 (0.001)	Loss 2.0004 (2.0517)	Prec@1 49.000 (47.235)	Prec@5 77.500 (77.754)
Epoch: [39][7960/9018]	Time 0.596 (0.626)	Data 0.001 (0.001)	Loss 2.0326 (2.0518)	Prec@1 50.500 (47.231)	Prec@5 80.000 (77.753)
Epoch: [39][7970/9018]	Time 0.604 (0.626)	Data 0.001 (0.001)	Loss 2.0955 (2.0518)	Prec@1 40.500 (47.232)	Prec@5 80.000 (77.755)
Epoch: [39][7980/9018]	Time 0.592 (0.626)	Data 0.001 (0.001)	Loss 2.0633 (2.0518)	Prec@1 50.500 (47.232)	Prec@5 75.500 (77.753)
Epoch: [39][7990/9018]	Time 0.625 (0.626)	Data 0.001 (0.001)	Loss 2.1626 (2.0519)	Prec@1 47.500 (47.229)	Prec@5 79.000 (77.752)
Epoch: [39][8000/9018]	Time 0.601 (0.626)	Data 0.001 (0.001)	Loss 2.2685 (2.0520)	Prec@1 39.500 (47.227)	Prec@5 74.500 (77.749)
Epoch: [39][8010/9018]	Time 0.595 (0.626)	Data 0.001 (0.001)	Loss 2.1278 (2.0520)	Prec@1 45.000 (47.226)	Prec@5 77.500 (77.752)
Epoch: [39][8020/9018]	Time 0.616 (0.626)	Data 0.001 (0.001)	Loss 2.0385 (2.0520)	Prec@1 48.500 (47.228)	Prec@5 77.500 (77.751)
Epoch: [39][8030/9018]	Time 0.594 (0.626)	Data 0.001 (0.001)	Loss 2.0071 (2.0519)	Prec@1 48.000 (47.228)	Prec@5 78.000 (77.751)
Epoch: [39][8040/9018]	Time 0.597 (0.626)	Data 0.001 (0.001)	Loss 2.2564 (2.0520)	Prec@1 46.000 (47.227)	Prec@5 74.000 (77.751)
Epoch: [39][8050/9018]	Time 0.625 (0.626)	Data 0.001 (0.001)	Loss 2.0032 (2.0521)	Prec@1 46.000 (47.224)	Prec@5 78.500 (77.750)
Epoch: [39][8060/9018]	Time 0.588 (0.626)	Data 0.001 (0.001)	Loss 2.1179 (2.0521)	Prec@1 44.000 (47.224)	Prec@5 77.500 (77.750)
Epoch: [39][8070/9018]	Time 0.595 (0.626)	Data 0.001 (0.001)	Loss 2.1436 (2.0522)	Prec@1 42.000 (47.222)	Prec@5 76.000 (77.749)
Epoch: [39][8080/9018]	Time 0.595 (0.626)	Data 0.001 (0.001)	Loss 1.8158 (2.0523)	Prec@1 52.500 (47.220)	Prec@5 81.500 (77.747)
Epoch: [39][8090/9018]	Time 0.622 (0.626)	Data 0.001 (0.001)	Loss 2.0639 (2.0522)	Prec@1 45.500 (47.221)	Prec@5 78.500 (77.748)
Epoch: [39][8100/9018]	Time 0.738 (0.626)	Data 0.001 (0.001)	Loss 2.1287 (2.0523)	Prec@1 44.500 (47.221)	Prec@5 76.000 (77.747)
Epoch: [39][8110/9018]	Time 0.612 (0.626)	Data 0.001 (0.001)	Loss 2.2960 (2.0523)	Prec@1 41.000 (47.220)	Prec@5 74.000 (77.746)
Epoch: [39][8120/9018]	Time 0.608 (0.626)	Data 0.001 (0.001)	Loss 2.2698 (2.0523)	Prec@1 46.500 (47.221)	Prec@5 74.500 (77.746)
Epoch: [39][8130/9018]	Time 0.603 (0.626)	Data 0.001 (0.001)	Loss 1.9113 (2.0522)	Prec@1 49.000 (47.222)	Prec@5 83.000 (77.748)
Epoch: [39][8140/9018]	Time 0.593 (0.626)	Data 0.001 (0.001)	Loss 2.0150 (2.0523)	Prec@1 47.000 (47.222)	Prec@5 80.500 (77.747)
Epoch: [39][8150/9018]	Time 0.759 (0.626)	Data 0.001 (0.001)	Loss 2.1351 (2.0523)	Prec@1 45.500 (47.220)	Prec@5 76.000 (77.745)
Epoch: [39][8160/9018]	Time 0.599 (0.626)	Data 0.001 (0.001)	Loss 2.0055 (2.0523)	Prec@1 51.000 (47.220)	Prec@5 78.500 (77.744)
Epoch: [39][8170/9018]	Time 0.624 (0.626)	Data 0.001 (0.001)	Loss 2.0397 (2.0524)	Prec@1 42.500 (47.218)	Prec@5 78.500 (77.742)
Epoch: [39][8180/9018]	Time 0.602 (0.626)	Data 0.001 (0.001)	Loss 2.2436 (2.0525)	Prec@1 40.500 (47.217)	Prec@5 73.000 (77.741)
Epoch: [39][8190/9018]	Time 0.595 (0.626)	Data 0.001 (0.001)	Loss 2.1647 (2.0524)	Prec@1 46.500 (47.218)	Prec@5 78.500 (77.741)
Epoch: [39][8200/9018]	Time 0.620 (0.626)	Data 0.001 (0.001)	Loss 2.1690 (2.0524)	Prec@1 44.000 (47.220)	Prec@5 75.500 (77.741)
Epoch: [39][8210/9018]	Time 0.597 (0.626)	Data 0.001 (0.001)	Loss 1.9609 (2.0525)	Prec@1 48.000 (47.217)	Prec@5 80.500 (77.738)
Epoch: [39][8220/9018]	Time 0.621 (0.626)	Data 0.001 (0.001)	Loss 1.9739 (2.0525)	Prec@1 49.500 (47.217)	Prec@5 76.500 (77.738)
Epoch: [39][8230/9018]	Time 0.601 (0.626)	Data 0.001 (0.001)	Loss 2.0119 (2.0525)	Prec@1 51.500 (47.217)	Prec@5 79.500 (77.739)
Epoch: [39][8240/9018]	Time 0.595 (0.626)	Data 0.001 (0.001)	Loss 2.3680 (2.0525)	Prec@1 42.000 (47.218)	Prec@5 70.500 (77.738)
Epoch: [39][8250/9018]	Time 0.614 (0.626)	Data 0.001 (0.001)	Loss 2.0550 (2.0526)	Prec@1 48.000 (47.218)	Prec@5 80.500 (77.738)
Epoch: [39][8260/9018]	Time 0.620 (0.626)	Data 0.001 (0.001)	Loss 2.1496 (2.0526)	Prec@1 46.000 (47.218)	Prec@5 73.000 (77.737)
Epoch: [39][8270/9018]	Time 0.599 (0.626)	Data 0.001 (0.001)	Loss 2.1700 (2.0527)	Prec@1 38.500 (47.215)	Prec@5 74.500 (77.736)
Epoch: [39][8280/9018]	Time 0.618 (0.626)	Data 0.001 (0.001)	Loss 2.0515 (2.0527)	Prec@1 45.500 (47.213)	Prec@5 77.000 (77.736)
Epoch: [39][8290/9018]	Time 0.597 (0.626)	Data 0.001 (0.001)	Loss 2.0054 (2.0527)	Prec@1 45.500 (47.213)	Prec@5 76.000 (77.736)
Epoch: [39][8300/9018]	Time 0.632 (0.626)	Data 0.001 (0.001)	Loss 2.2751 (2.0527)	Prec@1 46.500 (47.215)	Prec@5 72.000 (77.737)
Epoch: [39][8310/9018]	Time 0.602 (0.626)	Data 0.001 (0.001)	Loss 1.9884 (2.0527)	Prec@1 45.500 (47.215)	Prec@5 78.000 (77.737)
Epoch: [39][8320/9018]	Time 0.591 (0.626)	Data 0.001 (0.001)	Loss 2.0970 (2.0527)	Prec@1 40.500 (47.213)	Prec@5 79.000 (77.736)
Epoch: [39][8330/9018]	Time 0.616 (0.626)	Data 0.001 (0.001)	Loss 2.0346 (2.0527)	Prec@1 47.000 (47.213)	Prec@5 82.500 (77.737)
Epoch: [39][8340/9018]	Time 0.619 (0.626)	Data 0.001 (0.001)	Loss 2.1242 (2.0528)	Prec@1 44.500 (47.214)	Prec@5 78.000 (77.736)
Epoch: [39][8350/9018]	Time 0.594 (0.626)	Data 0.001 (0.001)	Loss 2.1871 (2.0529)	Prec@1 41.500 (47.211)	Prec@5 72.000 (77.734)
Epoch: [39][8360/9018]	Time 0.610 (0.626)	Data 0.001 (0.001)	Loss 1.8966 (2.0529)	Prec@1 51.500 (47.209)	Prec@5 80.000 (77.733)
Epoch: [39][8370/9018]	Time 0.605 (0.626)	Data 0.001 (0.001)	Loss 1.9474 (2.0529)	Prec@1 43.500 (47.209)	Prec@5 78.500 (77.731)
Epoch: [39][8380/9018]	Time 0.595 (0.626)	Data 0.001 (0.001)	Loss 1.9236 (2.0529)	Prec@1 50.500 (47.209)	Prec@5 77.500 (77.730)
Epoch: [39][8390/9018]	Time 0.600 (0.626)	Data 0.001 (0.001)	Loss 1.6687 (2.0529)	Prec@1 55.000 (47.210)	Prec@5 83.500 (77.729)
Epoch: [39][8400/9018]	Time 0.600 (0.626)	Data 0.001 (0.001)	Loss 2.1190 (2.0530)	Prec@1 46.500 (47.208)	Prec@5 75.000 (77.728)
Epoch: [39][8410/9018]	Time 0.623 (0.626)	Data 0.001 (0.001)	Loss 2.0805 (2.0530)	Prec@1 48.500 (47.206)	Prec@5 75.500 (77.727)
Epoch: [39][8420/9018]	Time 0.604 (0.626)	Data 0.001 (0.001)	Loss 1.9109 (2.0530)	Prec@1 50.500 (47.207)	Prec@5 79.500 (77.728)
Epoch: [39][8430/9018]	Time 0.720 (0.626)	Data 0.001 (0.001)	Loss 2.1534 (2.0530)	Prec@1 38.500 (47.205)	Prec@5 78.500 (77.727)
Epoch: [39][8440/9018]	Time 0.607 (0.625)	Data 0.001 (0.001)	Loss 2.0040 (2.0530)	Prec@1 49.500 (47.207)	Prec@5 77.500 (77.728)
Epoch: [39][8450/9018]	Time 0.593 (0.625)	Data 0.001 (0.001)	Loss 2.1547 (2.0530)	Prec@1 46.500 (47.207)	Prec@5 73.500 (77.727)
Epoch: [39][8460/9018]	Time 0.637 (0.625)	Data 0.001 (0.001)	Loss 1.9909 (2.0530)	Prec@1 53.000 (47.209)	Prec@5 80.500 (77.729)
Epoch: [39][8470/9018]	Time 0.593 (0.625)	Data 0.001 (0.001)	Loss 1.9316 (2.0529)	Prec@1 50.000 (47.210)	Prec@5 81.500 (77.731)
Epoch: [39][8480/9018]	Time 0.733 (0.625)	Data 0.001 (0.001)	Loss 2.0981 (2.0529)	Prec@1 47.000 (47.211)	Prec@5 79.000 (77.732)
Epoch: [39][8490/9018]	Time 0.625 (0.625)	Data 0.001 (0.001)	Loss 2.1360 (2.0529)	Prec@1 48.000 (47.211)	Prec@5 73.500 (77.732)
Epoch: [39][8500/9018]	Time 0.616 (0.625)	Data 0.001 (0.001)	Loss 2.2171 (2.0529)	Prec@1 48.000 (47.211)	Prec@5 74.500 (77.731)
Epoch: [39][8510/9018]	Time 0.598 (0.625)	Data 0.001 (0.001)	Loss 2.0860 (2.0530)	Prec@1 46.000 (47.208)	Prec@5 78.500 (77.731)
Epoch: [39][8520/9018]	Time 0.599 (0.625)	Data 0.001 (0.001)	Loss 1.9530 (2.0530)	Prec@1 51.000 (47.209)	Prec@5 77.500 (77.731)
Epoch: [39][8530/9018]	Time 0.605 (0.625)	Data 0.001 (0.001)	Loss 2.1091 (2.0530)	Prec@1 45.000 (47.207)	Prec@5 77.500 (77.730)
Epoch: [39][8540/9018]	Time 0.597 (0.625)	Data 0.001 (0.001)	Loss 1.7805 (2.0529)	Prec@1 54.500 (47.209)	Prec@5 81.000 (77.731)
Epoch: [39][8550/9018]	Time 0.595 (0.625)	Data 0.001 (0.001)	Loss 1.8763 (2.0529)	Prec@1 49.000 (47.209)	Prec@5 83.000 (77.731)
Epoch: [39][8560/9018]	Time 0.602 (0.625)	Data 0.001 (0.001)	Loss 1.9279 (2.0530)	Prec@1 49.500 (47.207)	Prec@5 82.000 (77.730)
Epoch: [39][8570/9018]	Time 0.593 (0.625)	Data 0.001 (0.001)	Loss 2.2262 (2.0530)	Prec@1 43.500 (47.206)	Prec@5 76.000 (77.729)
Epoch: [39][8580/9018]	Time 0.604 (0.625)	Data 0.001 (0.001)	Loss 1.8651 (2.0530)	Prec@1 52.500 (47.205)	Prec@5 79.500 (77.728)
Epoch: [39][8590/9018]	Time 0.611 (0.625)	Data 0.001 (0.001)	Loss 2.1386 (2.0531)	Prec@1 47.000 (47.202)	Prec@5 75.500 (77.729)
Epoch: [39][8600/9018]	Time 0.621 (0.625)	Data 0.001 (0.001)	Loss 2.0488 (2.0530)	Prec@1 47.000 (47.203)	Prec@5 76.500 (77.732)
Epoch: [39][8610/9018]	Time 0.605 (0.625)	Data 0.001 (0.001)	Loss 2.3600 (2.0531)	Prec@1 40.500 (47.202)	Prec@5 70.000 (77.731)
Epoch: [39][8620/9018]	Time 0.603 (0.625)	Data 0.001 (0.001)	Loss 2.2444 (2.0530)	Prec@1 43.000 (47.203)	Prec@5 76.500 (77.731)
Epoch: [39][8630/9018]	Time 0.599 (0.625)	Data 0.001 (0.001)	Loss 2.1758 (2.0531)	Prec@1 45.500 (47.203)	Prec@5 76.500 (77.730)
Epoch: [39][8640/9018]	Time 0.606 (0.625)	Data 0.001 (0.001)	Loss 2.1386 (2.0530)	Prec@1 46.000 (47.204)	Prec@5 74.500 (77.729)
Epoch: [39][8650/9018]	Time 0.601 (0.625)	Data 0.001 (0.001)	Loss 1.9572 (2.0530)	Prec@1 53.000 (47.205)	Prec@5 79.500 (77.731)
Epoch: [39][8660/9018]	Time 0.630 (0.625)	Data 0.001 (0.001)	Loss 2.0910 (2.0530)	Prec@1 48.000 (47.205)	Prec@5 78.500 (77.731)
Epoch: [39][8670/9018]	Time 0.601 (0.625)	Data 0.001 (0.001)	Loss 1.8937 (2.0530)	Prec@1 50.000 (47.205)	Prec@5 81.000 (77.731)
Epoch: [39][8680/9018]	Time 0.603 (0.625)	Data 0.001 (0.001)	Loss 1.9311 (2.0530)	Prec@1 49.000 (47.204)	Prec@5 79.000 (77.730)
Epoch: [39][8690/9018]	Time 0.592 (0.625)	Data 0.001 (0.001)	Loss 2.1744 (2.0531)	Prec@1 44.000 (47.201)	Prec@5 75.500 (77.729)
Epoch: [39][8700/9018]	Time 0.596 (0.625)	Data 0.001 (0.001)	Loss 1.9829 (2.0531)	Prec@1 49.500 (47.200)	Prec@5 80.000 (77.728)
Epoch: [39][8710/9018]	Time 0.763 (0.625)	Data 0.001 (0.001)	Loss 1.9691 (2.0532)	Prec@1 53.000 (47.201)	Prec@5 76.500 (77.727)
Epoch: [39][8720/9018]	Time 0.597 (0.625)	Data 0.001 (0.001)	Loss 2.1030 (2.0533)	Prec@1 43.000 (47.199)	Prec@5 76.500 (77.725)
Epoch: [39][8730/9018]	Time 0.602 (0.625)	Data 0.001 (0.001)	Loss 1.9079 (2.0532)	Prec@1 47.500 (47.198)	Prec@5 82.000 (77.725)
Epoch: [39][8740/9018]	Time 0.607 (0.625)	Data 0.001 (0.001)	Loss 2.1147 (2.0533)	Prec@1 44.500 (47.196)	Prec@5 77.500 (77.724)
Epoch: [39][8750/9018]	Time 0.604 (0.625)	Data 0.001 (0.001)	Loss 2.0758 (2.0533)	Prec@1 46.000 (47.196)	Prec@5 79.500 (77.724)
Epoch: [39][8760/9018]	Time 0.726 (0.625)	Data 0.001 (0.001)	Loss 2.0719 (2.0533)	Prec@1 47.000 (47.196)	Prec@5 77.000 (77.725)
Epoch: [39][8770/9018]	Time 0.594 (0.625)	Data 0.001 (0.001)	Loss 2.0748 (2.0533)	Prec@1 45.000 (47.195)	Prec@5 74.000 (77.725)
Epoch: [39][8780/9018]	Time 0.595 (0.625)	Data 0.001 (0.001)	Loss 2.1177 (2.0533)	Prec@1 45.000 (47.195)	Prec@5 76.000 (77.724)
Epoch: [39][8790/9018]	Time 0.600 (0.625)	Data 0.001 (0.001)	Loss 2.0867 (2.0534)	Prec@1 47.500 (47.195)	Prec@5 78.500 (77.724)
Epoch: [39][8800/9018]	Time 0.618 (0.625)	Data 0.001 (0.001)	Loss 2.0001 (2.0535)	Prec@1 47.500 (47.193)	Prec@5 79.500 (77.723)
Epoch: [39][8810/9018]	Time 0.624 (0.625)	Data 0.001 (0.001)	Loss 2.1135 (2.0535)	Prec@1 43.500 (47.193)	Prec@5 77.000 (77.722)
Epoch: [39][8820/9018]	Time 0.592 (0.625)	Data 0.001 (0.001)	Loss 2.0613 (2.0535)	Prec@1 50.000 (47.192)	Prec@5 76.000 (77.722)
Epoch: [39][8830/9018]	Time 0.633 (0.625)	Data 0.001 (0.001)	Loss 2.1358 (2.0535)	Prec@1 44.500 (47.192)	Prec@5 74.500 (77.723)
Epoch: [39][8840/9018]	Time 0.599 (0.625)	Data 0.001 (0.001)	Loss 1.9865 (2.0535)	Prec@1 45.500 (47.190)	Prec@5 79.000 (77.722)
Epoch: [39][8850/9018]	Time 0.615 (0.625)	Data 0.001 (0.001)	Loss 2.1909 (2.0536)	Prec@1 43.500 (47.189)	Prec@5 76.000 (77.720)
Epoch: [39][8860/9018]	Time 0.601 (0.625)	Data 0.001 (0.001)	Loss 2.0827 (2.0536)	Prec@1 45.000 (47.189)	Prec@5 77.500 (77.720)
Epoch: [39][8870/9018]	Time 0.599 (0.625)	Data 0.001 (0.001)	Loss 2.1916 (2.0537)	Prec@1 41.500 (47.189)	Prec@5 76.000 (77.718)
Epoch: [39][8880/9018]	Time 0.595 (0.625)	Data 0.001 (0.001)	Loss 1.9144 (2.0537)	Prec@1 54.500 (47.190)	Prec@5 82.000 (77.718)
Epoch: [39][8890/9018]	Time 0.609 (0.625)	Data 0.001 (0.001)	Loss 1.9876 (2.0536)	Prec@1 48.000 (47.191)	Prec@5 79.500 (77.719)
Epoch: [39][8900/9018]	Time 0.598 (0.625)	Data 0.001 (0.001)	Loss 2.1945 (2.0536)	Prec@1 48.000 (47.191)	Prec@5 77.500 (77.720)
Epoch: [39][8910/9018]	Time 0.634 (0.625)	Data 0.001 (0.001)	Loss 1.8035 (2.0536)	Prec@1 49.500 (47.190)	Prec@5 81.500 (77.720)
Epoch: [39][8920/9018]	Time 0.595 (0.625)	Data 0.001 (0.001)	Loss 1.9660 (2.0537)	Prec@1 47.500 (47.188)	Prec@5 81.000 (77.719)
Epoch: [39][8930/9018]	Time 0.601 (0.625)	Data 0.001 (0.001)	Loss 2.1556 (2.0537)	Prec@1 43.000 (47.187)	Prec@5 78.000 (77.719)
Epoch: [39][8940/9018]	Time 0.603 (0.625)	Data 0.001 (0.001)	Loss 2.0587 (2.0537)	Prec@1 47.500 (47.188)	Prec@5 79.000 (77.720)
Epoch: [39][8950/9018]	Time 0.607 (0.625)	Data 0.001 (0.001)	Loss 1.9966 (2.0538)	Prec@1 49.000 (47.186)	Prec@5 78.000 (77.718)
Epoch: [39][8960/9018]	Time 0.603 (0.625)	Data 0.001 (0.001)	Loss 2.2609 (2.0538)	Prec@1 44.000 (47.187)	Prec@5 69.500 (77.718)
Epoch: [39][8970/9018]	Time 0.592 (0.625)	Data 0.001 (0.001)	Loss 2.0859 (2.0538)	Prec@1 45.000 (47.187)	Prec@5 79.000 (77.718)
Epoch: [39][8980/9018]	Time 0.598 (0.625)	Data 0.001 (0.001)	Loss 2.1045 (2.0539)	Prec@1 46.500 (47.186)	Prec@5 75.000 (77.716)
Epoch: [39][8990/9018]	Time 0.594 (0.625)	Data 0.001 (0.001)	Loss 2.2673 (2.0539)	Prec@1 41.500 (47.187)	Prec@5 73.000 (77.716)
Epoch: [39][9000/9018]	Time 0.599 (0.625)	Data 0.001 (0.001)	Loss 2.1952 (2.0540)	Prec@1 40.500 (47.185)	Prec@5 74.000 (77.715)
Epoch: [39][9010/9018]	Time 0.596 (0.625)	Data 0.000 (0.001)	Loss 2.5974 (2.0540)	Prec@1 37.500 (47.186)	Prec@5 67.500 (77.714)
Test: [0/183]	Time 1.317 (1.317)	Loss 2.7794 (2.7794)	Prec@1 31.000 (31.000)	Prec@5 66.500 (66.500)
Test: [10/183]	Time 0.181 (0.311)	Loss 1.6646 (1.8183)	Prec@1 58.000 (52.773)	Prec@5 86.000 (82.864)
Test: [20/183]	Time 0.190 (0.257)	Loss 2.2197 (1.8091)	Prec@1 43.000 (52.143)	Prec@5 75.000 (82.452)
Test: [30/183]	Time 0.189 (0.238)	Loss 2.1297 (1.8212)	Prec@1 37.500 (50.855)	Prec@5 81.000 (82.677)
Test: [40/183]	Time 0.195 (0.229)	Loss 2.2776 (1.7896)	Prec@1 39.000 (52.122)	Prec@5 79.500 (82.744)
Test: [50/183]	Time 0.186 (0.221)	Loss 1.6546 (1.7508)	Prec@1 54.500 (53.137)	Prec@5 86.000 (83.176)
Test: [60/183]	Time 0.195 (0.217)	Loss 2.1184 (1.8097)	Prec@1 46.000 (51.254)	Prec@5 75.500 (82.549)
Test: [70/183]	Time 0.198 (0.214)	Loss 1.7244 (1.7891)	Prec@1 51.500 (51.655)	Prec@5 85.500 (83.035)
Test: [80/183]	Time 0.186 (0.213)	Loss 1.4547 (1.7804)	Prec@1 58.000 (51.883)	Prec@5 91.000 (83.111)
Test: [90/183]	Time 0.193 (0.210)	Loss 2.2025 (1.7841)	Prec@1 42.000 (51.857)	Prec@5 76.000 (82.989)
Test: [100/183]	Time 0.187 (0.208)	Loss 1.0041 (1.7864)	Prec@1 69.000 (51.777)	Prec@5 92.500 (83.020)
Test: [110/183]	Time 0.188 (0.207)	Loss 0.7274 (1.7863)	Prec@1 83.000 (51.685)	Prec@5 95.500 (82.982)
Test: [120/183]	Time 0.187 (0.206)	Loss 2.1461 (1.7902)	Prec@1 40.000 (51.545)	Prec@5 75.000 (82.938)
Test: [130/183]	Time 0.183 (0.205)	Loss 3.1025 (1.8004)	Prec@1 18.500 (51.347)	Prec@5 67.000 (82.893)
Test: [140/183]	Time 0.207 (0.205)	Loss 1.5916 (1.7918)	Prec@1 54.000 (51.610)	Prec@5 88.000 (83.092)
Test: [150/183]	Time 0.198 (0.204)	Loss 0.9677 (1.7910)	Prec@1 71.500 (51.573)	Prec@5 96.000 (83.103)
Test: [160/183]	Time 0.187 (0.203)	Loss 1.7840 (1.7887)	Prec@1 50.500 (51.773)	Prec@5 80.000 (83.090)
Test: [170/183]	Time 0.183 (0.203)	Loss 2.1514 (1.8066)	Prec@1 38.500 (51.298)	Prec@5 79.500 (82.810)
Test: [180/183]	Time 0.194 (0.202)	Loss 1.9804 (1.8136)	Prec@1 43.000 (51.155)	Prec@5 82.500 (82.707)
 * Prec@1 51.175 Prec@5 82.712
Epoch: [40][0/9018]	Time 2.732 (2.732)	Data 2.121 (2.121)	Loss 2.0066 (2.0066)	Prec@1 45.000 (45.000)	Prec@5 77.000 (77.000)
Epoch: [40][10/9018]	Time 0.590 (0.803)	Data 0.001 (0.193)	Loss 1.9181 (1.9896)	Prec@1 49.000 (48.364)	Prec@5 81.500 (78.864)
Epoch: [40][20/9018]	Time 0.604 (0.703)	Data 0.001 (0.102)	Loss 1.8092 (1.9885)	Prec@1 52.000 (48.714)	Prec@5 82.000 (78.976)
Epoch: [40][30/9018]	Time 0.594 (0.672)	Data 0.001 (0.069)	Loss 2.0964 (1.9997)	Prec@1 47.000 (48.274)	Prec@5 75.000 (78.613)
Epoch: [40][40/9018]	Time 0.598 (0.661)	Data 0.001 (0.052)	Loss 2.0042 (1.9997)	Prec@1 44.500 (48.159)	Prec@5 80.500 (78.720)
Epoch: [40][50/9018]	Time 0.627 (0.649)	Data 0.001 (0.042)	Loss 2.1359 (2.0096)	Prec@1 44.500 (47.892)	Prec@5 75.000 (78.676)
Epoch: [40][60/9018]	Time 0.602 (0.644)	Data 0.001 (0.036)	Loss 2.0986 (2.0139)	Prec@1 46.500 (47.779)	Prec@5 77.000 (78.549)
Epoch: [40][70/9018]	Time 0.639 (0.640)	Data 0.001 (0.031)	Loss 2.1405 (2.0147)	Prec@1 49.500 (47.817)	Prec@5 77.500 (78.521)
Epoch: [40][80/9018]	Time 0.601 (0.637)	Data 0.001 (0.027)	Loss 1.8697 (2.0200)	Prec@1 51.000 (47.870)	Prec@5 80.500 (78.432)
Epoch: [40][90/9018]	Time 0.601 (0.635)	Data 0.001 (0.024)	Loss 2.0881 (2.0239)	Prec@1 47.000 (47.775)	Prec@5 74.500 (78.346)
Epoch: [40][100/9018]	Time 0.596 (0.632)	Data 0.001 (0.022)	Loss 2.0128 (2.0252)	Prec@1 47.000 (47.599)	Prec@5 78.500 (78.297)
Epoch: [40][110/9018]	Time 0.600 (0.631)	Data 0.001 (0.020)	Loss 2.0017 (2.0273)	Prec@1 49.000 (47.635)	Prec@5 79.500 (78.230)
Epoch: [40][120/9018]	Time 0.631 (0.629)	Data 0.001 (0.018)	Loss 2.0685 (2.0287)	Prec@1 47.000 (47.545)	Prec@5 76.500 (78.223)
Epoch: [40][130/9018]	Time 0.608 (0.629)	Data 0.001 (0.017)	Loss 2.1186 (2.0328)	Prec@1 45.000 (47.469)	Prec@5 77.000 (78.176)
Epoch: [40][140/9018]	Time 0.609 (0.628)	Data 0.001 (0.016)	Loss 2.2927 (2.0308)	Prec@1 39.000 (47.454)	Prec@5 71.000 (78.156)
Epoch: [40][150/9018]	Time 0.630 (0.626)	Data 0.001 (0.015)	Loss 1.9193 (2.0308)	Prec@1 51.500 (47.447)	Prec@5 80.500 (78.169)
Epoch: [40][160/9018]	Time 0.602 (0.626)	Data 0.001 (0.014)	Loss 2.0392 (2.0264)	Prec@1 46.500 (47.547)	Prec@5 78.500 (78.295)
Epoch: [40][170/9018]	Time 0.740 (0.626)	Data 0.001 (0.013)	Loss 2.1118 (2.0274)	Prec@1 47.000 (47.494)	Prec@5 75.500 (78.260)
Epoch: [40][180/9018]	Time 0.598 (0.625)	Data 0.001 (0.012)	Loss 2.2460 (2.0294)	Prec@1 41.000 (47.497)	Prec@5 75.500 (78.180)
Epoch: [40][190/9018]	Time 0.593 (0.624)	Data 0.001 (0.012)	Loss 2.0426 (2.0292)	Prec@1 49.000 (47.563)	Prec@5 78.500 (78.191)
Epoch: [40][200/9018]	Time 0.607 (0.623)	Data 0.001 (0.011)	Loss 1.9698 (2.0270)	Prec@1 50.000 (47.644)	Prec@5 79.500 (78.201)
Epoch: [40][210/9018]	Time 0.631 (0.624)	Data 0.001 (0.011)	Loss 2.0693 (2.0262)	Prec@1 43.000 (47.637)	Prec@5 79.000 (78.244)
Epoch: [40][220/9018]	Time 0.710 (0.623)	Data 0.001 (0.010)	Loss 2.2193 (2.0274)	Prec@1 43.000 (47.613)	Prec@5 76.500 (78.269)
Epoch: [40][230/9018]	Time 0.602 (0.622)	Data 0.001 (0.010)	Loss 1.8556 (2.0246)	Prec@1 51.000 (47.695)	Prec@5 82.500 (78.305)
Epoch: [40][240/9018]	Time 0.594 (0.622)	Data 0.001 (0.010)	Loss 2.1740 (2.0281)	Prec@1 47.500 (47.622)	Prec@5 77.000 (78.266)
Epoch: [40][250/9018]	Time 0.599 (0.622)	Data 0.001 (0.009)	Loss 2.1667 (2.0276)	Prec@1 43.000 (47.671)	Prec@5 74.500 (78.283)
Epoch: [40][260/9018]	Time 0.602 (0.622)	Data 0.001 (0.009)	Loss 2.1655 (2.0271)	Prec@1 50.500 (47.707)	Prec@5 74.500 (78.278)
Epoch: [40][270/9018]	Time 0.595 (0.621)	Data 0.001 (0.009)	Loss 1.9729 (2.0276)	Prec@1 48.000 (47.708)	Prec@5 80.500 (78.286)
Epoch: [40][280/9018]	Time 0.635 (0.621)	Data 0.001 (0.008)	Loss 2.0102 (2.0280)	Prec@1 47.500 (47.669)	Prec@5 76.500 (78.288)
Epoch: [40][290/9018]	Time 0.594 (0.621)	Data 0.001 (0.008)	Loss 2.2880 (2.0278)	Prec@1 40.500 (47.686)	Prec@5 69.500 (78.259)
Epoch: [40][300/9018]	Time 0.600 (0.621)	Data 0.001 (0.008)	Loss 1.9578 (2.0290)	Prec@1 51.500 (47.663)	Prec@5 78.000 (78.233)
Epoch: [40][310/9018]	Time 0.605 (0.621)	Data 0.001 (0.008)	Loss 2.0533 (2.0307)	Prec@1 46.000 (47.622)	Prec@5 79.000 (78.182)
Epoch: [40][320/9018]	Time 0.597 (0.621)	Data 0.001 (0.007)	Loss 1.9176 (2.0294)	Prec@1 51.000 (47.668)	Prec@5 79.000 (78.171)
Epoch: [40][330/9018]	Time 0.598 (0.620)	Data 0.001 (0.007)	Loss 2.3514 (2.0325)	Prec@1 38.000 (47.624)	Prec@5 76.500 (78.128)
Epoch: [40][340/9018]	Time 0.604 (0.620)	Data 0.001 (0.007)	Loss 1.8952 (2.0312)	Prec@1 49.000 (47.622)	Prec@5 83.000 (78.167)
Epoch: [40][350/9018]	Time 0.603 (0.620)	Data 0.001 (0.007)	Loss 2.0318 (2.0306)	Prec@1 48.000 (47.625)	Prec@5 78.000 (78.215)
Epoch: [40][360/9018]	Time 0.600 (0.620)	Data 0.001 (0.007)	Loss 1.7642 (2.0305)	Prec@1 52.000 (47.632)	Prec@5 83.500 (78.209)
Epoch: [40][370/9018]	Time 0.612 (0.620)	Data 0.001 (0.006)	Loss 2.1793 (2.0294)	Prec@1 45.000 (47.635)	Prec@5 76.000 (78.249)
Epoch: [40][380/9018]	Time 0.621 (0.620)	Data 0.001 (0.006)	Loss 1.8460 (2.0294)	Prec@1 49.500 (47.614)	Prec@5 83.500 (78.241)
Epoch: [40][390/9018]	Time 0.594 (0.620)	Data 0.001 (0.006)	Loss 2.1813 (2.0312)	Prec@1 46.000 (47.581)	Prec@5 75.500 (78.192)
Epoch: [40][400/9018]	Time 0.639 (0.619)	Data 0.001 (0.006)	Loss 1.8555 (2.0311)	Prec@1 51.000 (47.572)	Prec@5 80.500 (78.198)
Epoch: [40][410/9018]	Time 0.593 (0.619)	Data 0.001 (0.006)	Loss 1.9666 (2.0328)	Prec@1 48.000 (47.526)	Prec@5 82.000 (78.153)
Epoch: [40][420/9018]	Time 0.631 (0.620)	Data 0.001 (0.006)	Loss 2.0885 (2.0332)	Prec@1 50.500 (47.513)	Prec@5 73.500 (78.135)
Epoch: [40][430/9018]	Time 0.592 (0.619)	Data 0.001 (0.006)	Loss 2.0992 (2.0339)	Prec@1 39.500 (47.520)	Prec@5 76.500 (78.144)
Epoch: [40][440/9018]	Time 0.622 (0.619)	Data 0.001 (0.006)	Loss 1.9831 (2.0349)	Prec@1 55.000 (47.524)	Prec@5 78.000 (78.122)
Epoch: [40][450/9018]	Time 0.596 (0.619)	Data 0.001 (0.005)	Loss 2.0213 (2.0327)	Prec@1 45.000 (47.557)	Prec@5 78.500 (78.163)
Epoch: [40][460/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 1.9207 (2.0335)	Prec@1 49.000 (47.534)	Prec@5 79.500 (78.127)
Epoch: [40][470/9018]	Time 0.596 (0.619)	Data 0.001 (0.005)	Loss 1.9768 (2.0341)	Prec@1 50.500 (47.499)	Prec@5 78.000 (78.106)
Epoch: [40][480/9018]	Time 0.607 (0.619)	Data 0.001 (0.005)	Loss 1.9383 (2.0350)	Prec@1 51.000 (47.472)	Prec@5 79.500 (78.095)
Epoch: [40][490/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 1.9384 (2.0365)	Prec@1 44.500 (47.452)	Prec@5 82.500 (78.088)
Epoch: [40][500/9018]	Time 0.729 (0.619)	Data 0.001 (0.005)	Loss 1.9808 (2.0358)	Prec@1 50.500 (47.460)	Prec@5 79.000 (78.118)
Epoch: [40][510/9018]	Time 0.602 (0.619)	Data 0.001 (0.005)	Loss 2.1297 (2.0362)	Prec@1 44.500 (47.439)	Prec@5 77.000 (78.124)
Epoch: [40][520/9018]	Time 0.610 (0.619)	Data 0.001 (0.005)	Loss 2.1104 (2.0363)	Prec@1 47.500 (47.422)	Prec@5 75.500 (78.095)
Epoch: [40][530/9018]	Time 0.633 (0.619)	Data 0.001 (0.005)	Loss 2.0567 (2.0359)	Prec@1 44.500 (47.417)	Prec@5 77.000 (78.099)
Epoch: [40][540/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 2.3135 (2.0369)	Prec@1 40.000 (47.433)	Prec@5 78.000 (78.100)
Epoch: [40][550/9018]	Time 0.738 (0.619)	Data 0.001 (0.005)	Loss 2.2366 (2.0372)	Prec@1 43.000 (47.430)	Prec@5 74.500 (78.095)
Epoch: [40][560/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 1.8362 (2.0366)	Prec@1 53.500 (47.464)	Prec@5 81.500 (78.101)
Epoch: [40][570/9018]	Time 0.623 (0.618)	Data 0.001 (0.004)	Loss 2.0124 (2.0362)	Prec@1 47.500 (47.493)	Prec@5 78.000 (78.106)
Epoch: [40][580/9018]	Time 0.613 (0.618)	Data 0.001 (0.004)	Loss 1.9478 (2.0366)	Prec@1 49.000 (47.471)	Prec@5 78.000 (78.113)
Epoch: [40][590/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.1101 (2.0361)	Prec@1 49.000 (47.470)	Prec@5 79.500 (78.135)
Epoch: [40][600/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 2.2335 (2.0367)	Prec@1 46.000 (47.461)	Prec@5 73.500 (78.139)
Epoch: [40][610/9018]	Time 0.611 (0.618)	Data 0.001 (0.004)	Loss 2.2519 (2.0367)	Prec@1 43.500 (47.461)	Prec@5 72.000 (78.132)
Epoch: [40][620/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 1.8835 (2.0371)	Prec@1 46.000 (47.473)	Prec@5 81.500 (78.105)
Epoch: [40][630/9018]	Time 0.631 (0.618)	Data 0.001 (0.004)	Loss 1.9583 (2.0368)	Prec@1 49.500 (47.481)	Prec@5 83.000 (78.125)
Epoch: [40][640/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 2.2065 (2.0382)	Prec@1 47.000 (47.468)	Prec@5 75.500 (78.104)
Epoch: [40][650/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 1.9851 (2.0380)	Prec@1 49.500 (47.474)	Prec@5 77.000 (78.087)
Epoch: [40][660/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 1.8795 (2.0390)	Prec@1 48.500 (47.440)	Prec@5 81.000 (78.064)
Epoch: [40][670/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 2.1049 (2.0398)	Prec@1 44.000 (47.455)	Prec@5 76.000 (78.042)
Epoch: [40][680/9018]	Time 0.629 (0.618)	Data 0.001 (0.004)	Loss 2.0563 (2.0395)	Prec@1 47.500 (47.451)	Prec@5 78.500 (78.066)
Epoch: [40][690/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 2.0154 (2.0393)	Prec@1 47.500 (47.459)	Prec@5 77.500 (78.071)
Epoch: [40][700/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 1.9533 (2.0394)	Prec@1 49.500 (47.453)	Prec@5 78.500 (78.051)
Epoch: [40][710/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 1.9080 (2.0395)	Prec@1 46.000 (47.447)	Prec@5 81.000 (78.049)
Epoch: [40][720/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 1.9328 (2.0387)	Prec@1 52.000 (47.481)	Prec@5 81.000 (78.071)
Epoch: [40][730/9018]	Time 0.626 (0.617)	Data 0.001 (0.004)	Loss 1.9921 (2.0393)	Prec@1 49.500 (47.476)	Prec@5 77.500 (78.065)
Epoch: [40][740/9018]	Time 0.631 (0.617)	Data 0.001 (0.004)	Loss 2.0894 (2.0391)	Prec@1 50.000 (47.482)	Prec@5 78.500 (78.067)
Epoch: [40][750/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 2.0755 (2.0390)	Prec@1 51.000 (47.499)	Prec@5 76.000 (78.073)
Epoch: [40][760/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 2.2568 (2.0389)	Prec@1 41.500 (47.510)	Prec@5 74.000 (78.078)
Epoch: [40][770/9018]	Time 0.625 (0.617)	Data 0.001 (0.004)	Loss 2.0770 (2.0393)	Prec@1 38.000 (47.479)	Prec@5 76.000 (78.064)
Epoch: [40][780/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 1.9347 (2.0395)	Prec@1 52.500 (47.498)	Prec@5 78.500 (78.060)
Epoch: [40][790/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.2148 (2.0389)	Prec@1 44.500 (47.499)	Prec@5 74.500 (78.078)
Epoch: [40][800/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.0434 (2.0394)	Prec@1 47.000 (47.479)	Prec@5 77.500 (78.068)
Epoch: [40][810/9018]	Time 0.612 (0.617)	Data 0.001 (0.003)	Loss 2.1794 (2.0394)	Prec@1 45.000 (47.485)	Prec@5 74.000 (78.066)
Epoch: [40][820/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.0878 (2.0398)	Prec@1 47.500 (47.479)	Prec@5 78.000 (78.058)
Epoch: [40][830/9018]	Time 0.714 (0.617)	Data 0.001 (0.003)	Loss 2.1153 (2.0396)	Prec@1 48.000 (47.485)	Prec@5 77.000 (78.066)
Epoch: [40][840/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.8808 (2.0400)	Prec@1 56.500 (47.473)	Prec@5 77.000 (78.048)
Epoch: [40][850/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.0451 (2.0404)	Prec@1 43.500 (47.465)	Prec@5 79.000 (78.043)
Epoch: [40][860/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 1.9868 (2.0401)	Prec@1 49.500 (47.463)	Prec@5 80.000 (78.050)
Epoch: [40][870/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.1938 (2.0407)	Prec@1 46.000 (47.468)	Prec@5 74.500 (78.038)
Epoch: [40][880/9018]	Time 0.749 (0.617)	Data 0.001 (0.003)	Loss 2.0784 (2.0410)	Prec@1 48.500 (47.459)	Prec@5 77.500 (78.036)
Epoch: [40][890/9018]	Time 0.621 (0.617)	Data 0.001 (0.003)	Loss 1.9859 (2.0409)	Prec@1 50.000 (47.470)	Prec@5 77.500 (78.027)
Epoch: [40][900/9018]	Time 0.634 (0.617)	Data 0.001 (0.003)	Loss 2.0706 (2.0413)	Prec@1 44.500 (47.462)	Prec@5 74.500 (78.007)
Epoch: [40][910/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.0955 (2.0411)	Prec@1 48.000 (47.476)	Prec@5 77.500 (78.014)
Epoch: [40][920/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 1.8168 (2.0401)	Prec@1 54.500 (47.493)	Prec@5 82.500 (78.029)
Epoch: [40][930/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.9150 (2.0396)	Prec@1 51.000 (47.508)	Prec@5 78.000 (78.037)
Epoch: [40][940/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.1361 (2.0399)	Prec@1 45.000 (47.511)	Prec@5 73.500 (78.033)
Epoch: [40][950/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.9394 (2.0399)	Prec@1 47.000 (47.506)	Prec@5 82.000 (78.051)
Epoch: [40][960/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 1.9683 (2.0395)	Prec@1 52.000 (47.522)	Prec@5 76.000 (78.046)
Epoch: [40][970/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.9988 (2.0400)	Prec@1 48.500 (47.510)	Prec@5 77.000 (78.028)
Epoch: [40][980/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 1.7832 (2.0402)	Prec@1 56.500 (47.502)	Prec@5 78.500 (78.021)
Epoch: [40][990/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.8874 (2.0397)	Prec@1 52.500 (47.507)	Prec@5 78.500 (78.025)
Epoch: [40][1000/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.6968 (2.0394)	Prec@1 56.500 (47.507)	Prec@5 82.000 (78.027)
Epoch: [40][1010/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.1327 (2.0392)	Prec@1 45.000 (47.511)	Prec@5 76.000 (78.025)
Epoch: [40][1020/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.8782 (2.0392)	Prec@1 48.000 (47.507)	Prec@5 80.500 (78.017)
Epoch: [40][1030/9018]	Time 0.590 (0.617)	Data 0.001 (0.003)	Loss 2.1690 (2.0388)	Prec@1 41.000 (47.505)	Prec@5 76.500 (78.022)
Epoch: [40][1040/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 1.9786 (2.0388)	Prec@1 53.000 (47.498)	Prec@5 79.500 (78.034)
Epoch: [40][1050/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.9586 (2.0388)	Prec@1 51.000 (47.501)	Prec@5 81.000 (78.023)
Epoch: [40][1060/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 1.8200 (2.0387)	Prec@1 51.000 (47.497)	Prec@5 81.000 (78.021)
Epoch: [40][1070/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 1.9909 (2.0387)	Prec@1 49.500 (47.496)	Prec@5 79.000 (78.028)
Epoch: [40][1080/9018]	Time 0.637 (0.617)	Data 0.001 (0.003)	Loss 1.8438 (2.0383)	Prec@1 52.000 (47.511)	Prec@5 83.000 (78.035)
Epoch: [40][1090/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.8450 (2.0378)	Prec@1 50.000 (47.521)	Prec@5 82.000 (78.043)
Epoch: [40][1100/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.0285 (2.0382)	Prec@1 49.000 (47.514)	Prec@5 75.500 (78.024)
Epoch: [40][1110/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.8609 (2.0381)	Prec@1 44.000 (47.497)	Prec@5 82.000 (78.039)
Epoch: [40][1120/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.0329 (2.0384)	Prec@1 53.500 (47.492)	Prec@5 76.500 (78.034)
Epoch: [40][1130/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.0844 (2.0384)	Prec@1 50.000 (47.485)	Prec@5 79.000 (78.037)
Epoch: [40][1140/9018]	Time 0.614 (0.616)	Data 0.001 (0.003)	Loss 1.9851 (2.0383)	Prec@1 47.000 (47.487)	Prec@5 80.000 (78.042)
Epoch: [40][1150/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.9929 (2.0378)	Prec@1 50.000 (47.488)	Prec@5 77.500 (78.043)
Epoch: [40][1160/9018]	Time 0.746 (0.616)	Data 0.001 (0.003)	Loss 2.3378 (2.0382)	Prec@1 43.000 (47.485)	Prec@5 73.000 (78.040)
Epoch: [40][1170/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.0474 (2.0382)	Prec@1 46.500 (47.484)	Prec@5 80.000 (78.036)
Epoch: [40][1180/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.2478 (2.0392)	Prec@1 46.000 (47.467)	Prec@5 75.500 (78.008)
Epoch: [40][1190/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 1.8965 (2.0389)	Prec@1 51.000 (47.471)	Prec@5 80.500 (78.011)
Epoch: [40][1200/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.0447 (2.0393)	Prec@1 49.500 (47.470)	Prec@5 77.500 (78.002)
Epoch: [40][1210/9018]	Time 0.717 (0.616)	Data 0.001 (0.003)	Loss 1.9365 (2.0395)	Prec@1 50.500 (47.458)	Prec@5 80.500 (78.000)
Epoch: [40][1220/9018]	Time 0.629 (0.616)	Data 0.001 (0.003)	Loss 1.9833 (2.0387)	Prec@1 47.500 (47.474)	Prec@5 78.500 (78.002)
Epoch: [40][1230/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.1709 (2.0390)	Prec@1 48.000 (47.481)	Prec@5 74.000 (77.996)
Epoch: [40][1240/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.1036 (2.0393)	Prec@1 45.000 (47.476)	Prec@5 76.000 (77.993)
Epoch: [40][1250/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9208 (2.0391)	Prec@1 49.000 (47.482)	Prec@5 76.500 (77.992)
Epoch: [40][1260/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.2141 (2.0388)	Prec@1 44.000 (47.484)	Prec@5 71.500 (77.996)
Epoch: [40][1270/9018]	Time 0.588 (0.616)	Data 0.001 (0.002)	Loss 2.1297 (2.0390)	Prec@1 48.000 (47.487)	Prec@5 73.500 (77.986)
Epoch: [40][1280/9018]	Time 0.589 (0.616)	Data 0.001 (0.002)	Loss 1.9429 (2.0389)	Prec@1 49.500 (47.484)	Prec@5 81.500 (77.986)
Epoch: [40][1290/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.0837 (2.0388)	Prec@1 45.500 (47.474)	Prec@5 76.000 (77.979)
Epoch: [40][1300/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 1.9853 (2.0392)	Prec@1 49.000 (47.470)	Prec@5 79.500 (77.974)
Epoch: [40][1310/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 1.9168 (2.0390)	Prec@1 45.000 (47.475)	Prec@5 82.500 (77.969)
Epoch: [40][1320/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.9722 (2.0387)	Prec@1 51.500 (47.485)	Prec@5 82.500 (77.978)
Epoch: [40][1330/9018]	Time 0.589 (0.616)	Data 0.001 (0.002)	Loss 2.3267 (2.0395)	Prec@1 43.500 (47.463)	Prec@5 72.500 (77.967)
Epoch: [40][1340/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.2317 (2.0401)	Prec@1 46.000 (47.457)	Prec@5 75.500 (77.954)
Epoch: [40][1350/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0719 (2.0397)	Prec@1 45.500 (47.464)	Prec@5 77.500 (77.964)
Epoch: [40][1360/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.0230 (2.0397)	Prec@1 52.000 (47.466)	Prec@5 77.500 (77.966)
Epoch: [40][1370/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 1.9118 (2.0397)	Prec@1 55.500 (47.473)	Prec@5 76.500 (77.965)
Epoch: [40][1380/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.9982 (2.0394)	Prec@1 45.000 (47.485)	Prec@5 80.000 (77.976)
Epoch: [40][1390/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.0301 (2.0392)	Prec@1 45.000 (47.480)	Prec@5 80.000 (77.984)
Epoch: [40][1400/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.0564 (2.0393)	Prec@1 48.500 (47.487)	Prec@5 74.500 (77.970)
Epoch: [40][1410/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.9635 (2.0399)	Prec@1 47.500 (47.472)	Prec@5 79.000 (77.960)
Epoch: [40][1420/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.0526 (2.0399)	Prec@1 45.000 (47.469)	Prec@5 76.500 (77.957)
Epoch: [40][1430/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.4050 (2.0403)	Prec@1 44.000 (47.460)	Prec@5 69.000 (77.952)
Epoch: [40][1440/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.0311 (2.0404)	Prec@1 46.500 (47.450)	Prec@5 80.500 (77.948)
Epoch: [40][1450/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.1690 (2.0409)	Prec@1 46.500 (47.430)	Prec@5 76.000 (77.941)
Epoch: [40][1460/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.3446 (2.0411)	Prec@1 39.500 (47.425)	Prec@5 72.000 (77.937)
Epoch: [40][1470/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.8896 (2.0410)	Prec@1 47.500 (47.431)	Prec@5 81.000 (77.946)
Epoch: [40][1480/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.1426 (2.0411)	Prec@1 42.500 (47.435)	Prec@5 75.000 (77.942)
Epoch: [40][1490/9018]	Time 0.727 (0.616)	Data 0.001 (0.002)	Loss 1.9380 (2.0412)	Prec@1 47.500 (47.434)	Prec@5 78.500 (77.934)
Epoch: [40][1500/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.0498 (2.0412)	Prec@1 44.500 (47.436)	Prec@5 79.000 (77.927)
Epoch: [40][1510/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 1.7763 (2.0408)	Prec@1 52.500 (47.441)	Prec@5 80.500 (77.935)
Epoch: [40][1520/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.2255 (2.0405)	Prec@1 47.500 (47.449)	Prec@5 74.000 (77.938)
Epoch: [40][1530/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.2071 (2.0399)	Prec@1 43.000 (47.459)	Prec@5 74.500 (77.949)
Epoch: [40][1540/9018]	Time 0.740 (0.616)	Data 0.001 (0.002)	Loss 2.2831 (2.0400)	Prec@1 41.500 (47.460)	Prec@5 71.500 (77.945)
Epoch: [40][1550/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.7865 (2.0398)	Prec@1 51.000 (47.462)	Prec@5 81.500 (77.948)
Epoch: [40][1560/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1360 (2.0399)	Prec@1 46.000 (47.465)	Prec@5 75.500 (77.945)
Epoch: [40][1570/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.7882 (2.0397)	Prec@1 53.000 (47.475)	Prec@5 81.500 (77.943)
Epoch: [40][1580/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9941 (2.0397)	Prec@1 46.000 (47.471)	Prec@5 79.500 (77.938)
Epoch: [40][1590/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.0334 (2.0397)	Prec@1 47.000 (47.470)	Prec@5 78.000 (77.936)
Epoch: [40][1600/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.8865 (2.0397)	Prec@1 51.500 (47.471)	Prec@5 79.000 (77.933)
Epoch: [40][1610/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.0841 (2.0400)	Prec@1 51.500 (47.469)	Prec@5 79.500 (77.932)
Epoch: [40][1620/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.8516 (2.0397)	Prec@1 49.000 (47.471)	Prec@5 81.500 (77.939)
Epoch: [40][1630/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.8177 (2.0394)	Prec@1 51.500 (47.474)	Prec@5 81.000 (77.940)
Epoch: [40][1640/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.8992 (2.0392)	Prec@1 49.500 (47.480)	Prec@5 80.000 (77.947)
Epoch: [40][1650/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.0009 (2.0394)	Prec@1 53.000 (47.473)	Prec@5 81.500 (77.950)
Epoch: [40][1660/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8550 (2.0395)	Prec@1 49.500 (47.478)	Prec@5 81.500 (77.947)
Epoch: [40][1670/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.3590 (2.0395)	Prec@1 45.500 (47.481)	Prec@5 71.000 (77.946)
Epoch: [40][1680/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 1.9620 (2.0396)	Prec@1 44.000 (47.480)	Prec@5 80.500 (77.946)
Epoch: [40][1690/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.9777 (2.0398)	Prec@1 52.500 (47.475)	Prec@5 80.000 (77.946)
Epoch: [40][1700/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 1.9192 (2.0399)	Prec@1 50.000 (47.471)	Prec@5 77.500 (77.945)
Epoch: [40][1710/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.1868 (2.0399)	Prec@1 45.500 (47.475)	Prec@5 74.000 (77.938)
Epoch: [40][1720/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0809 (2.0401)	Prec@1 44.000 (47.470)	Prec@5 76.500 (77.931)
Epoch: [40][1730/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.0742 (2.0398)	Prec@1 51.000 (47.479)	Prec@5 76.500 (77.935)
Epoch: [40][1740/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.0362 (2.0398)	Prec@1 49.000 (47.480)	Prec@5 79.500 (77.934)
Epoch: [40][1750/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.0164 (2.0395)	Prec@1 44.500 (47.485)	Prec@5 74.500 (77.938)
Epoch: [40][1760/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0571 (2.0394)	Prec@1 50.000 (47.492)	Prec@5 76.500 (77.940)
Epoch: [40][1770/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.3461 (2.0396)	Prec@1 40.000 (47.483)	Prec@5 72.000 (77.935)
Epoch: [40][1780/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.0695 (2.0397)	Prec@1 50.000 (47.478)	Prec@5 77.500 (77.937)
Epoch: [40][1790/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.0263 (2.0395)	Prec@1 49.500 (47.480)	Prec@5 76.500 (77.943)
Epoch: [40][1800/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.8910 (2.0393)	Prec@1 51.000 (47.488)	Prec@5 80.000 (77.948)
Epoch: [40][1810/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.0238 (2.0394)	Prec@1 47.500 (47.488)	Prec@5 75.000 (77.936)
Epoch: [40][1820/9018]	Time 0.711 (0.616)	Data 0.001 (0.002)	Loss 2.0196 (2.0393)	Prec@1 45.000 (47.492)	Prec@5 77.500 (77.945)
Epoch: [40][1830/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.8968 (2.0395)	Prec@1 51.000 (47.481)	Prec@5 82.500 (77.940)
Epoch: [40][1840/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1287 (2.0394)	Prec@1 46.500 (47.473)	Prec@5 77.000 (77.944)
Epoch: [40][1850/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9702 (2.0392)	Prec@1 49.500 (47.476)	Prec@5 82.000 (77.946)
Epoch: [40][1860/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.1431 (2.0392)	Prec@1 44.000 (47.477)	Prec@5 76.500 (77.943)
Epoch: [40][1870/9018]	Time 0.721 (0.616)	Data 0.001 (0.002)	Loss 2.0172 (2.0390)	Prec@1 45.000 (47.477)	Prec@5 78.500 (77.951)
Epoch: [40][1880/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.2728 (2.0390)	Prec@1 39.500 (47.476)	Prec@5 74.500 (77.949)
Epoch: [40][1890/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.0307 (2.0388)	Prec@1 45.500 (47.480)	Prec@5 83.500 (77.957)
Epoch: [40][1900/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.2406 (2.0388)	Prec@1 41.500 (47.476)	Prec@5 76.000 (77.960)
Epoch: [40][1910/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.2581 (2.0391)	Prec@1 40.000 (47.469)	Prec@5 78.000 (77.958)
Epoch: [40][1920/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.1672 (2.0389)	Prec@1 42.000 (47.467)	Prec@5 77.500 (77.964)
Epoch: [40][1930/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.1977 (2.0391)	Prec@1 44.500 (47.460)	Prec@5 77.000 (77.959)
Epoch: [40][1940/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.0837 (2.0390)	Prec@1 48.500 (47.464)	Prec@5 79.000 (77.961)
Epoch: [40][1950/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.1970 (2.0388)	Prec@1 46.000 (47.467)	Prec@5 76.500 (77.969)
Epoch: [40][1960/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.1592 (2.0386)	Prec@1 47.000 (47.472)	Prec@5 77.000 (77.972)
Epoch: [40][1970/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.1083 (2.0385)	Prec@1 44.500 (47.468)	Prec@5 78.000 (77.973)
Epoch: [40][1980/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.0116 (2.0386)	Prec@1 49.000 (47.466)	Prec@5 77.000 (77.975)
Epoch: [40][1990/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.1462 (2.0387)	Prec@1 45.500 (47.466)	Prec@5 77.000 (77.973)
Epoch: [40][2000/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.9284 (2.0387)	Prec@1 47.000 (47.458)	Prec@5 80.000 (77.970)
Epoch: [40][2010/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.1355 (2.0388)	Prec@1 44.000 (47.450)	Prec@5 77.500 (77.972)
Epoch: [40][2020/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.6673 (2.0386)	Prec@1 52.000 (47.448)	Prec@5 85.500 (77.974)
Epoch: [40][2030/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9297 (2.0386)	Prec@1 51.500 (47.445)	Prec@5 77.500 (77.974)
Epoch: [40][2040/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0920 (2.0386)	Prec@1 48.500 (47.450)	Prec@5 78.000 (77.979)
Epoch: [40][2050/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9602 (2.0382)	Prec@1 50.500 (47.462)	Prec@5 78.000 (77.987)
Epoch: [40][2060/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.0255 (2.0383)	Prec@1 48.500 (47.459)	Prec@5 79.500 (77.986)
Epoch: [40][2070/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9238 (2.0382)	Prec@1 51.000 (47.468)	Prec@5 80.500 (77.988)
Epoch: [40][2080/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0220 (2.0384)	Prec@1 47.000 (47.466)	Prec@5 77.000 (77.984)
Epoch: [40][2090/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.1313 (2.0387)	Prec@1 45.500 (47.457)	Prec@5 77.000 (77.979)
Epoch: [40][2100/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.0600 (2.0388)	Prec@1 43.000 (47.453)	Prec@5 79.000 (77.975)
Epoch: [40][2110/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 2.0445 (2.0392)	Prec@1 52.000 (47.450)	Prec@5 74.000 (77.963)
Epoch: [40][2120/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.8283 (2.0391)	Prec@1 54.000 (47.446)	Prec@5 79.500 (77.961)
Epoch: [40][2130/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.8878 (2.0393)	Prec@1 46.500 (47.438)	Prec@5 83.500 (77.960)
Epoch: [40][2140/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.0660 (2.0392)	Prec@1 51.000 (47.435)	Prec@5 79.500 (77.964)
Epoch: [40][2150/9018]	Time 0.710 (0.616)	Data 0.001 (0.002)	Loss 2.0569 (2.0392)	Prec@1 48.500 (47.434)	Prec@5 76.000 (77.962)
Epoch: [40][2160/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 1.9702 (2.0394)	Prec@1 49.500 (47.428)	Prec@5 81.000 (77.961)
Epoch: [40][2170/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.0164 (2.0393)	Prec@1 49.000 (47.430)	Prec@5 80.500 (77.962)
Epoch: [40][2180/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.1252 (2.0394)	Prec@1 46.000 (47.429)	Prec@5 78.000 (77.958)
Epoch: [40][2190/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0031 (2.0395)	Prec@1 45.500 (47.431)	Prec@5 79.500 (77.958)
Epoch: [40][2200/9018]	Time 0.739 (0.616)	Data 0.001 (0.002)	Loss 1.9122 (2.0396)	Prec@1 48.000 (47.430)	Prec@5 80.500 (77.954)
Epoch: [40][2210/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.0442 (2.0396)	Prec@1 41.000 (47.426)	Prec@5 76.000 (77.960)
Epoch: [40][2220/9018]	Time 0.637 (0.616)	Data 0.001 (0.002)	Loss 2.3034 (2.0402)	Prec@1 39.500 (47.412)	Prec@5 71.500 (77.948)
Epoch: [40][2230/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.9675 (2.0400)	Prec@1 47.000 (47.413)	Prec@5 82.500 (77.952)
Epoch: [40][2240/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.9145 (2.0402)	Prec@1 48.500 (47.411)	Prec@5 84.500 (77.950)
Epoch: [40][2250/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9259 (2.0403)	Prec@1 47.500 (47.408)	Prec@5 82.000 (77.946)
Epoch: [40][2260/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9978 (2.0405)	Prec@1 46.500 (47.404)	Prec@5 79.500 (77.943)
Epoch: [40][2270/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.0964 (2.0406)	Prec@1 43.500 (47.399)	Prec@5 78.500 (77.936)
Epoch: [40][2280/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.2264 (2.0406)	Prec@1 45.000 (47.399)	Prec@5 77.000 (77.938)
Epoch: [40][2290/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9436 (2.0405)	Prec@1 53.000 (47.405)	Prec@5 78.500 (77.934)
Epoch: [40][2300/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0419 (2.0408)	Prec@1 44.500 (47.402)	Prec@5 78.000 (77.927)
Epoch: [40][2310/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.0298 (2.0405)	Prec@1 46.500 (47.404)	Prec@5 75.000 (77.931)
Epoch: [40][2320/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.9815 (2.0406)	Prec@1 43.000 (47.396)	Prec@5 77.500 (77.928)
Epoch: [40][2330/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.9580 (2.0407)	Prec@1 49.500 (47.397)	Prec@5 79.500 (77.926)
Epoch: [40][2340/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.2438 (2.0409)	Prec@1 39.000 (47.394)	Prec@5 71.500 (77.924)
Epoch: [40][2350/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.2027 (2.0409)	Prec@1 42.000 (47.395)	Prec@5 76.000 (77.924)
Epoch: [40][2360/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9953 (2.0405)	Prec@1 48.000 (47.408)	Prec@5 77.500 (77.930)
Epoch: [40][2370/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.0084 (2.0403)	Prec@1 46.500 (47.411)	Prec@5 79.500 (77.933)
Epoch: [40][2380/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 1.8590 (2.0404)	Prec@1 52.000 (47.405)	Prec@5 79.500 (77.933)
Epoch: [40][2390/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.0146 (2.0402)	Prec@1 45.500 (47.406)	Prec@5 79.000 (77.936)
Epoch: [40][2400/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.0523 (2.0402)	Prec@1 47.500 (47.408)	Prec@5 77.000 (77.936)
Epoch: [40][2410/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.9446 (2.0402)	Prec@1 45.000 (47.409)	Prec@5 79.500 (77.933)
Epoch: [40][2420/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.0860 (2.0406)	Prec@1 42.500 (47.396)	Prec@5 75.500 (77.924)
Epoch: [40][2430/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.0767 (2.0408)	Prec@1 47.000 (47.397)	Prec@5 76.500 (77.925)
Epoch: [40][2440/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.2361 (2.0406)	Prec@1 42.000 (47.406)	Prec@5 78.000 (77.927)
Epoch: [40][2450/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1344 (2.0408)	Prec@1 46.000 (47.401)	Prec@5 75.500 (77.924)
Epoch: [40][2460/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.1093 (2.0405)	Prec@1 46.500 (47.408)	Prec@5 75.500 (77.927)
Epoch: [40][2470/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0010 (2.0408)	Prec@1 51.500 (47.404)	Prec@5 79.500 (77.925)
Epoch: [40][2480/9018]	Time 0.730 (0.616)	Data 0.001 (0.002)	Loss 2.3384 (2.0410)	Prec@1 47.500 (47.400)	Prec@5 70.500 (77.923)
Epoch: [40][2490/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0309 (2.0409)	Prec@1 48.000 (47.409)	Prec@5 76.000 (77.923)
Epoch: [40][2500/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.9919 (2.0409)	Prec@1 46.500 (47.407)	Prec@5 79.000 (77.923)
Epoch: [40][2510/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.1691 (2.0412)	Prec@1 47.500 (47.403)	Prec@5 74.000 (77.916)
Epoch: [40][2520/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9706 (2.0411)	Prec@1 47.000 (47.409)	Prec@5 80.000 (77.918)
Epoch: [40][2530/9018]	Time 0.721 (0.616)	Data 0.001 (0.002)	Loss 1.9714 (2.0410)	Prec@1 49.500 (47.410)	Prec@5 81.000 (77.923)
Epoch: [40][2540/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.0921 (2.0411)	Prec@1 44.000 (47.401)	Prec@5 79.500 (77.925)
Epoch: [40][2550/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.8585 (2.0409)	Prec@1 52.000 (47.407)	Prec@5 79.000 (77.927)
Epoch: [40][2560/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0782 (2.0409)	Prec@1 49.000 (47.406)	Prec@5 78.000 (77.929)
Epoch: [40][2570/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.0203 (2.0408)	Prec@1 45.500 (47.405)	Prec@5 77.500 (77.933)
Epoch: [40][2580/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0430 (2.0406)	Prec@1 51.500 (47.409)	Prec@5 77.000 (77.939)
Epoch: [40][2590/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.1413 (2.0405)	Prec@1 46.000 (47.408)	Prec@5 73.500 (77.943)
Epoch: [40][2600/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.1574 (2.0406)	Prec@1 46.000 (47.403)	Prec@5 74.500 (77.938)
Epoch: [40][2610/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.0541 (2.0406)	Prec@1 45.500 (47.401)	Prec@5 79.000 (77.941)
Epoch: [40][2620/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.3324 (2.0407)	Prec@1 42.000 (47.398)	Prec@5 73.500 (77.943)
Epoch: [40][2630/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.8353 (2.0408)	Prec@1 51.000 (47.396)	Prec@5 84.000 (77.945)
Epoch: [40][2640/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.1741 (2.0408)	Prec@1 43.500 (47.394)	Prec@5 74.000 (77.947)
Epoch: [40][2650/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.1230 (2.0407)	Prec@1 43.000 (47.392)	Prec@5 77.000 (77.948)
Epoch: [40][2660/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0883 (2.0405)	Prec@1 52.500 (47.401)	Prec@5 75.000 (77.948)
Epoch: [40][2670/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.1388 (2.0404)	Prec@1 46.500 (47.403)	Prec@5 78.500 (77.953)
Epoch: [40][2680/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.1862 (2.0407)	Prec@1 41.500 (47.390)	Prec@5 78.500 (77.951)
Epoch: [40][2690/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 1.9493 (2.0409)	Prec@1 47.000 (47.390)	Prec@5 76.500 (77.946)
Epoch: [40][2700/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.0062 (2.0410)	Prec@1 49.000 (47.386)	Prec@5 81.500 (77.944)
Epoch: [40][2710/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9195 (2.0410)	Prec@1 50.500 (47.389)	Prec@5 82.000 (77.946)
Epoch: [40][2720/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.8762 (2.0409)	Prec@1 49.500 (47.391)	Prec@5 82.000 (77.946)
Epoch: [40][2730/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0325 (2.0409)	Prec@1 49.500 (47.393)	Prec@5 78.500 (77.947)
Epoch: [40][2740/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 1.8117 (2.0410)	Prec@1 51.000 (47.394)	Prec@5 83.500 (77.945)
Epoch: [40][2750/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.1700 (2.0409)	Prec@1 45.000 (47.394)	Prec@5 73.500 (77.946)
Epoch: [40][2760/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9550 (2.0409)	Prec@1 52.000 (47.397)	Prec@5 81.000 (77.945)
Epoch: [40][2770/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.9867 (2.0409)	Prec@1 50.000 (47.397)	Prec@5 77.500 (77.946)
Epoch: [40][2780/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.9141 (2.0409)	Prec@1 50.000 (47.399)	Prec@5 79.000 (77.943)
Epoch: [40][2790/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.9858 (2.0409)	Prec@1 44.000 (47.398)	Prec@5 78.500 (77.940)
Epoch: [40][2800/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.2310 (2.0409)	Prec@1 41.500 (47.398)	Prec@5 75.500 (77.937)
Epoch: [40][2810/9018]	Time 0.722 (0.615)	Data 0.001 (0.002)	Loss 2.0871 (2.0411)	Prec@1 46.000 (47.393)	Prec@5 75.500 (77.939)
Epoch: [40][2820/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.0339 (2.0414)	Prec@1 52.000 (47.391)	Prec@5 74.000 (77.933)
Epoch: [40][2830/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.2010 (2.0412)	Prec@1 42.500 (47.400)	Prec@5 76.500 (77.934)
Epoch: [40][2840/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0184 (2.0410)	Prec@1 45.000 (47.403)	Prec@5 78.500 (77.941)
Epoch: [40][2850/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 1.8420 (2.0409)	Prec@1 50.000 (47.400)	Prec@5 82.000 (77.945)
Epoch: [40][2860/9018]	Time 0.717 (0.615)	Data 0.001 (0.002)	Loss 2.1366 (2.0412)	Prec@1 48.500 (47.402)	Prec@5 75.500 (77.937)
Epoch: [40][2870/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.9154 (2.0412)	Prec@1 52.000 (47.400)	Prec@5 79.000 (77.937)
Epoch: [40][2880/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.0920 (2.0411)	Prec@1 45.500 (47.399)	Prec@5 80.000 (77.940)
Epoch: [40][2890/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.0703 (2.0411)	Prec@1 47.500 (47.402)	Prec@5 76.000 (77.940)
Epoch: [40][2900/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0628 (2.0411)	Prec@1 44.000 (47.405)	Prec@5 79.500 (77.941)
Epoch: [40][2910/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9151 (2.0411)	Prec@1 46.500 (47.405)	Prec@5 82.000 (77.941)
Epoch: [40][2920/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0400 (2.0413)	Prec@1 45.500 (47.398)	Prec@5 76.500 (77.939)
Epoch: [40][2930/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1832 (2.0414)	Prec@1 47.000 (47.400)	Prec@5 75.500 (77.935)
Epoch: [40][2940/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.2003 (2.0413)	Prec@1 44.000 (47.402)	Prec@5 77.500 (77.938)
Epoch: [40][2950/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0432 (2.0411)	Prec@1 46.500 (47.407)	Prec@5 74.500 (77.943)
Epoch: [40][2960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1574 (2.0411)	Prec@1 47.500 (47.409)	Prec@5 80.000 (77.944)
Epoch: [40][2970/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0946 (2.0410)	Prec@1 46.500 (47.411)	Prec@5 80.000 (77.949)
Epoch: [40][2980/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0372 (2.0413)	Prec@1 49.000 (47.408)	Prec@5 75.500 (77.942)
Epoch: [40][2990/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 1.9137 (2.0413)	Prec@1 51.000 (47.410)	Prec@5 83.000 (77.942)
Epoch: [40][3000/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1988 (2.0414)	Prec@1 44.000 (47.404)	Prec@5 78.000 (77.940)
Epoch: [40][3010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9567 (2.0413)	Prec@1 48.500 (47.408)	Prec@5 80.500 (77.943)
Epoch: [40][3020/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9400 (2.0413)	Prec@1 48.500 (47.404)	Prec@5 78.500 (77.944)
Epoch: [40][3030/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0244 (2.0414)	Prec@1 45.500 (47.395)	Prec@5 74.500 (77.938)
Epoch: [40][3040/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.0765 (2.0416)	Prec@1 48.500 (47.388)	Prec@5 77.500 (77.935)
Epoch: [40][3050/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0203 (2.0416)	Prec@1 43.000 (47.388)	Prec@5 80.500 (77.939)
Epoch: [40][3060/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1099 (2.0415)	Prec@1 47.000 (47.388)	Prec@5 75.500 (77.937)
Epoch: [40][3070/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9548 (2.0413)	Prec@1 45.500 (47.390)	Prec@5 79.500 (77.935)
Epoch: [40][3080/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7905 (2.0413)	Prec@1 47.500 (47.385)	Prec@5 85.000 (77.937)
Epoch: [40][3090/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.8344 (2.0413)	Prec@1 53.000 (47.389)	Prec@5 80.000 (77.934)
Epoch: [40][3100/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0292 (2.0412)	Prec@1 45.000 (47.389)	Prec@5 79.500 (77.935)
Epoch: [40][3110/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1244 (2.0411)	Prec@1 47.000 (47.393)	Prec@5 75.000 (77.936)
Epoch: [40][3120/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.8355 (2.0408)	Prec@1 53.500 (47.397)	Prec@5 81.500 (77.942)
Epoch: [40][3130/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9313 (2.0410)	Prec@1 49.000 (47.391)	Prec@5 81.500 (77.938)
Epoch: [40][3140/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.3631 (2.0410)	Prec@1 42.000 (47.386)	Prec@5 73.000 (77.936)
Epoch: [40][3150/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1796 (2.0411)	Prec@1 41.500 (47.384)	Prec@5 72.000 (77.936)
Epoch: [40][3160/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2205 (2.0410)	Prec@1 45.500 (47.388)	Prec@5 76.500 (77.937)
Epoch: [40][3170/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.2017 (2.0411)	Prec@1 42.000 (47.385)	Prec@5 75.500 (77.935)
Epoch: [40][3180/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1603 (2.0413)	Prec@1 45.500 (47.381)	Prec@5 76.000 (77.933)
Epoch: [40][3190/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.1043 (2.0412)	Prec@1 45.500 (47.384)	Prec@5 72.000 (77.930)
Epoch: [40][3200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9277 (2.0412)	Prec@1 50.000 (47.384)	Prec@5 79.000 (77.930)
Epoch: [40][3210/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1904 (2.0413)	Prec@1 43.500 (47.383)	Prec@5 75.500 (77.927)
Epoch: [40][3220/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.0671 (2.0413)	Prec@1 42.500 (47.384)	Prec@5 77.000 (77.927)
Epoch: [40][3230/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9730 (2.0414)	Prec@1 48.500 (47.383)	Prec@5 79.000 (77.924)
Epoch: [40][3240/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0324 (2.0415)	Prec@1 51.000 (47.380)	Prec@5 80.500 (77.925)
Epoch: [40][3250/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9824 (2.0415)	Prec@1 48.500 (47.378)	Prec@5 78.000 (77.922)
Epoch: [40][3260/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0314 (2.0414)	Prec@1 49.000 (47.381)	Prec@5 80.500 (77.928)
Epoch: [40][3270/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1752 (2.0413)	Prec@1 42.500 (47.383)	Prec@5 75.500 (77.929)
Epoch: [40][3280/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.7521 (2.0413)	Prec@1 54.500 (47.385)	Prec@5 82.500 (77.931)
Epoch: [40][3290/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.2547 (2.0413)	Prec@1 42.500 (47.383)	Prec@5 72.500 (77.932)
Epoch: [40][3300/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.7780 (2.0412)	Prec@1 57.000 (47.388)	Prec@5 86.000 (77.930)
Epoch: [40][3310/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9934 (2.0413)	Prec@1 50.500 (47.389)	Prec@5 79.500 (77.929)
Epoch: [40][3320/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1203 (2.0413)	Prec@1 49.000 (47.390)	Prec@5 75.000 (77.929)
Epoch: [40][3330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0828 (2.0411)	Prec@1 48.000 (47.393)	Prec@5 77.000 (77.931)
Epoch: [40][3340/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1330 (2.0410)	Prec@1 46.500 (47.397)	Prec@5 75.000 (77.933)
Epoch: [40][3350/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.9572 (2.0408)	Prec@1 49.000 (47.405)	Prec@5 80.000 (77.936)
Epoch: [40][3360/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9335 (2.0407)	Prec@1 51.000 (47.406)	Prec@5 82.500 (77.936)
Epoch: [40][3370/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9885 (2.0408)	Prec@1 47.000 (47.401)	Prec@5 78.000 (77.935)
Epoch: [40][3380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0809 (2.0408)	Prec@1 47.000 (47.400)	Prec@5 77.500 (77.938)
Epoch: [40][3390/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0098 (2.0409)	Prec@1 46.000 (47.398)	Prec@5 78.500 (77.935)
Epoch: [40][3400/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3729 (2.0410)	Prec@1 40.500 (47.395)	Prec@5 69.500 (77.933)
Epoch: [40][3410/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8393 (2.0409)	Prec@1 56.500 (47.401)	Prec@5 83.000 (77.935)
Epoch: [40][3420/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8591 (2.0407)	Prec@1 48.500 (47.402)	Prec@5 80.500 (77.936)
Epoch: [40][3430/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0399 (2.0408)	Prec@1 45.500 (47.401)	Prec@5 77.500 (77.931)
Epoch: [40][3440/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9536 (2.0408)	Prec@1 53.000 (47.401)	Prec@5 80.000 (77.931)
Epoch: [40][3450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8914 (2.0408)	Prec@1 50.500 (47.400)	Prec@5 75.500 (77.932)
Epoch: [40][3460/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0651 (2.0409)	Prec@1 47.500 (47.396)	Prec@5 75.000 (77.928)
Epoch: [40][3470/9018]	Time 0.717 (0.615)	Data 0.001 (0.001)	Loss 1.8219 (2.0409)	Prec@1 52.500 (47.394)	Prec@5 80.500 (77.931)
Epoch: [40][3480/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1023 (2.0410)	Prec@1 45.000 (47.392)	Prec@5 76.000 (77.928)
Epoch: [40][3490/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0129 (2.0411)	Prec@1 47.000 (47.392)	Prec@5 80.500 (77.929)
Epoch: [40][3500/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0856 (2.0412)	Prec@1 51.500 (47.394)	Prec@5 81.000 (77.930)
Epoch: [40][3510/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9528 (2.0414)	Prec@1 55.000 (47.390)	Prec@5 77.000 (77.926)
Epoch: [40][3520/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 2.1586 (2.0415)	Prec@1 43.000 (47.389)	Prec@5 74.000 (77.925)
Epoch: [40][3530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1329 (2.0415)	Prec@1 46.000 (47.388)	Prec@5 74.500 (77.925)
Epoch: [40][3540/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1900 (2.0418)	Prec@1 41.000 (47.381)	Prec@5 75.500 (77.920)
Epoch: [40][3550/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9626 (2.0420)	Prec@1 50.000 (47.377)	Prec@5 80.500 (77.920)
Epoch: [40][3560/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0611 (2.0418)	Prec@1 47.500 (47.382)	Prec@5 77.500 (77.923)
Epoch: [40][3570/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2757 (2.0420)	Prec@1 43.000 (47.380)	Prec@5 75.500 (77.921)
Epoch: [40][3580/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2128 (2.0421)	Prec@1 43.500 (47.376)	Prec@5 71.500 (77.917)
Epoch: [40][3590/9018]	Time 0.587 (0.615)	Data 0.001 (0.001)	Loss 2.3785 (2.0423)	Prec@1 42.000 (47.372)	Prec@5 70.000 (77.914)
Epoch: [40][3600/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9055 (2.0423)	Prec@1 52.000 (47.374)	Prec@5 81.000 (77.913)
Epoch: [40][3610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0139 (2.0424)	Prec@1 50.000 (47.371)	Prec@5 82.500 (77.913)
Epoch: [40][3620/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1883 (2.0424)	Prec@1 44.000 (47.370)	Prec@5 73.000 (77.911)
Epoch: [40][3630/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0637 (2.0427)	Prec@1 52.500 (47.372)	Prec@5 75.000 (77.907)
Epoch: [40][3640/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0476 (2.0428)	Prec@1 46.500 (47.367)	Prec@5 80.000 (77.905)
Epoch: [40][3650/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0924 (2.0428)	Prec@1 46.000 (47.368)	Prec@5 79.500 (77.908)
Epoch: [40][3660/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2837 (2.0430)	Prec@1 42.500 (47.367)	Prec@5 71.500 (77.903)
Epoch: [40][3670/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.2546 (2.0431)	Prec@1 44.500 (47.365)	Prec@5 74.500 (77.900)
Epoch: [40][3680/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1898 (2.0432)	Prec@1 43.500 (47.364)	Prec@5 78.500 (77.900)
Epoch: [40][3690/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9350 (2.0431)	Prec@1 48.000 (47.361)	Prec@5 81.000 (77.902)
Epoch: [40][3700/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0380 (2.0431)	Prec@1 47.500 (47.361)	Prec@5 81.500 (77.904)
Epoch: [40][3710/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.9301 (2.0431)	Prec@1 50.500 (47.358)	Prec@5 81.500 (77.904)
Epoch: [40][3720/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.9455 (2.0431)	Prec@1 53.500 (47.362)	Prec@5 78.500 (77.903)
Epoch: [40][3730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9505 (2.0432)	Prec@1 46.500 (47.361)	Prec@5 81.000 (77.902)
Epoch: [40][3740/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.2381 (2.0433)	Prec@1 44.000 (47.362)	Prec@5 75.000 (77.899)
Epoch: [40][3750/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9248 (2.0433)	Prec@1 49.000 (47.359)	Prec@5 81.500 (77.899)
Epoch: [40][3760/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9882 (2.0432)	Prec@1 47.500 (47.356)	Prec@5 78.000 (77.900)
Epoch: [40][3770/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1431 (2.0433)	Prec@1 47.000 (47.354)	Prec@5 78.000 (77.899)
Epoch: [40][3780/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0618 (2.0433)	Prec@1 47.500 (47.359)	Prec@5 78.000 (77.897)
Epoch: [40][3790/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.0340 (2.0434)	Prec@1 49.000 (47.361)	Prec@5 78.500 (77.896)
Epoch: [40][3800/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.0047 (2.0434)	Prec@1 46.500 (47.357)	Prec@5 76.000 (77.896)
Epoch: [40][3810/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9736 (2.0435)	Prec@1 50.000 (47.354)	Prec@5 81.000 (77.896)
Epoch: [40][3820/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.9923 (2.0435)	Prec@1 53.500 (47.354)	Prec@5 77.500 (77.896)
Epoch: [40][3830/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0042 (2.0436)	Prec@1 49.000 (47.352)	Prec@5 78.000 (77.895)
Epoch: [40][3840/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1498 (2.0437)	Prec@1 47.000 (47.354)	Prec@5 76.500 (77.891)
Epoch: [40][3850/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 1.8202 (2.0437)	Prec@1 46.500 (47.351)	Prec@5 80.000 (77.891)
Epoch: [40][3860/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9822 (2.0438)	Prec@1 46.500 (47.348)	Prec@5 80.000 (77.890)
Epoch: [40][3870/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1585 (2.0438)	Prec@1 47.000 (47.348)	Prec@5 72.500 (77.891)
Epoch: [40][3880/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9272 (2.0439)	Prec@1 55.000 (47.346)	Prec@5 80.500 (77.889)
Epoch: [40][3890/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1433 (2.0439)	Prec@1 47.000 (47.345)	Prec@5 76.500 (77.890)
Epoch: [40][3900/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0695 (2.0438)	Prec@1 48.000 (47.347)	Prec@5 74.000 (77.891)
Epoch: [40][3910/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9425 (2.0437)	Prec@1 52.000 (47.346)	Prec@5 79.500 (77.892)
Epoch: [40][3920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9700 (2.0436)	Prec@1 48.000 (47.346)	Prec@5 78.500 (77.893)
Epoch: [40][3930/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0171 (2.0436)	Prec@1 43.000 (47.349)	Prec@5 80.000 (77.894)
Epoch: [40][3940/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2635 (2.0437)	Prec@1 43.000 (47.343)	Prec@5 72.000 (77.893)
Epoch: [40][3950/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0636 (2.0437)	Prec@1 48.000 (47.341)	Prec@5 81.500 (77.897)
Epoch: [40][3960/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.1441 (2.0438)	Prec@1 45.500 (47.341)	Prec@5 74.500 (77.894)
Epoch: [40][3970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1285 (2.0438)	Prec@1 43.000 (47.338)	Prec@5 77.500 (77.894)
Epoch: [40][3980/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0174 (2.0440)	Prec@1 45.000 (47.336)	Prec@5 76.000 (77.891)
Epoch: [40][3990/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.1375 (2.0439)	Prec@1 43.500 (47.338)	Prec@5 74.500 (77.890)
Epoch: [40][4000/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0810 (2.0437)	Prec@1 47.500 (47.342)	Prec@5 77.500 (77.893)
Epoch: [40][4010/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9646 (2.0437)	Prec@1 50.500 (47.345)	Prec@5 78.000 (77.894)
Epoch: [40][4020/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8619 (2.0437)	Prec@1 47.500 (47.343)	Prec@5 82.500 (77.893)
Epoch: [40][4030/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1346 (2.0437)	Prec@1 43.000 (47.338)	Prec@5 77.000 (77.895)
Epoch: [40][4040/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.9560 (2.0438)	Prec@1 47.500 (47.334)	Prec@5 78.000 (77.893)
Epoch: [40][4050/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8218 (2.0437)	Prec@1 52.000 (47.337)	Prec@5 83.500 (77.894)
Epoch: [40][4060/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7940 (2.0438)	Prec@1 50.500 (47.334)	Prec@5 81.000 (77.891)
Epoch: [40][4070/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0865 (2.0437)	Prec@1 47.500 (47.339)	Prec@5 74.500 (77.893)
Epoch: [40][4080/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1501 (2.0438)	Prec@1 43.000 (47.333)	Prec@5 78.500 (77.892)
Epoch: [40][4090/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8925 (2.0437)	Prec@1 50.000 (47.336)	Prec@5 80.500 (77.892)
Epoch: [40][4100/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1572 (2.0439)	Prec@1 49.500 (47.332)	Prec@5 74.500 (77.887)
Epoch: [40][4110/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1579 (2.0441)	Prec@1 49.000 (47.327)	Prec@5 75.000 (77.882)
Epoch: [40][4120/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8918 (2.0440)	Prec@1 49.500 (47.329)	Prec@5 84.000 (77.885)
Epoch: [40][4130/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 1.9756 (2.0439)	Prec@1 51.000 (47.331)	Prec@5 77.500 (77.886)
Epoch: [40][4140/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0716 (2.0439)	Prec@1 45.000 (47.333)	Prec@5 75.000 (77.888)
Epoch: [40][4150/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9054 (2.0439)	Prec@1 54.500 (47.332)	Prec@5 79.500 (77.888)
Epoch: [40][4160/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.1689 (2.0440)	Prec@1 46.000 (47.334)	Prec@5 79.000 (77.885)
Epoch: [40][4170/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0475 (2.0439)	Prec@1 50.500 (47.333)	Prec@5 78.000 (77.886)
Epoch: [40][4180/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.0858 (2.0439)	Prec@1 48.000 (47.332)	Prec@5 81.000 (77.886)
Epoch: [40][4190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0423 (2.0439)	Prec@1 43.000 (47.328)	Prec@5 78.000 (77.886)
Epoch: [40][4200/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.1189 (2.0441)	Prec@1 42.500 (47.322)	Prec@5 77.000 (77.886)
Epoch: [40][4210/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9188 (2.0440)	Prec@1 49.500 (47.324)	Prec@5 79.500 (77.889)
Epoch: [40][4220/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9595 (2.0440)	Prec@1 50.500 (47.323)	Prec@5 79.000 (77.888)
Epoch: [40][4230/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1505 (2.0442)	Prec@1 42.000 (47.318)	Prec@5 78.500 (77.884)
Epoch: [40][4240/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0125 (2.0443)	Prec@1 49.500 (47.317)	Prec@5 76.500 (77.881)
Epoch: [40][4250/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.1717 (2.0443)	Prec@1 45.500 (47.314)	Prec@5 76.000 (77.881)
Epoch: [40][4260/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4290 (2.0445)	Prec@1 44.500 (47.314)	Prec@5 71.000 (77.878)
Epoch: [40][4270/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2060 (2.0444)	Prec@1 44.000 (47.318)	Prec@5 72.000 (77.879)
Epoch: [40][4280/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.0488 (2.0443)	Prec@1 45.500 (47.317)	Prec@5 76.500 (77.879)
Epoch: [40][4290/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9051 (2.0442)	Prec@1 45.000 (47.318)	Prec@5 84.000 (77.882)
Epoch: [40][4300/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9535 (2.0443)	Prec@1 51.000 (47.318)	Prec@5 77.000 (77.879)
Epoch: [40][4310/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0818 (2.0443)	Prec@1 46.000 (47.317)	Prec@5 75.500 (77.880)
Epoch: [40][4320/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0595 (2.0444)	Prec@1 47.000 (47.315)	Prec@5 79.000 (77.878)
Epoch: [40][4330/9018]	Time 0.647 (0.615)	Data 0.001 (0.001)	Loss 2.1267 (2.0445)	Prec@1 45.000 (47.311)	Prec@5 78.000 (77.878)
Epoch: [40][4340/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0901 (2.0445)	Prec@1 48.000 (47.312)	Prec@5 79.500 (77.878)
Epoch: [40][4350/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9915 (2.0445)	Prec@1 47.500 (47.308)	Prec@5 79.000 (77.878)
Epoch: [40][4360/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9958 (2.0444)	Prec@1 52.000 (47.314)	Prec@5 79.000 (77.881)
Epoch: [40][4370/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0597 (2.0445)	Prec@1 49.000 (47.312)	Prec@5 73.000 (77.877)
Epoch: [40][4380/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0033 (2.0445)	Prec@1 49.000 (47.314)	Prec@5 78.000 (77.877)
Epoch: [40][4390/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.0661 (2.0446)	Prec@1 44.500 (47.308)	Prec@5 77.000 (77.877)
Epoch: [40][4400/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1154 (2.0447)	Prec@1 43.500 (47.306)	Prec@5 76.500 (77.878)
Epoch: [40][4410/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.2139 (2.0447)	Prec@1 43.000 (47.302)	Prec@5 71.500 (77.875)
Epoch: [40][4420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8316 (2.0448)	Prec@1 50.500 (47.302)	Prec@5 82.000 (77.873)
Epoch: [40][4430/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.9821 (2.0449)	Prec@1 48.000 (47.303)	Prec@5 78.500 (77.871)
Epoch: [40][4440/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0241 (2.0449)	Prec@1 45.000 (47.301)	Prec@5 79.500 (77.871)
Epoch: [40][4450/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9256 (2.0449)	Prec@1 48.500 (47.301)	Prec@5 81.500 (77.872)
Epoch: [40][4460/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.0287 (2.0448)	Prec@1 45.500 (47.301)	Prec@5 80.500 (77.873)
Epoch: [40][4470/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1876 (2.0449)	Prec@1 42.500 (47.298)	Prec@5 75.500 (77.873)
Epoch: [40][4480/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1879 (2.0449)	Prec@1 45.000 (47.298)	Prec@5 72.500 (77.873)
Epoch: [40][4490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1161 (2.0450)	Prec@1 42.000 (47.295)	Prec@5 76.500 (77.871)
Epoch: [40][4500/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0919 (2.0451)	Prec@1 49.500 (47.293)	Prec@5 75.000 (77.868)
Epoch: [40][4510/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.1037 (2.0450)	Prec@1 45.500 (47.293)	Prec@5 75.500 (77.870)
Epoch: [40][4520/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9994 (2.0451)	Prec@1 46.000 (47.292)	Prec@5 75.500 (77.868)
Epoch: [40][4530/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8451 (2.0449)	Prec@1 51.000 (47.296)	Prec@5 86.000 (77.872)
Epoch: [40][4540/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.1324 (2.0451)	Prec@1 43.000 (47.294)	Prec@5 74.000 (77.866)
Epoch: [40][4550/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1639 (2.0453)	Prec@1 40.500 (47.290)	Prec@5 79.500 (77.861)
Epoch: [40][4560/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0470 (2.0453)	Prec@1 51.000 (47.291)	Prec@5 76.000 (77.863)
Epoch: [40][4570/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.1296 (2.0452)	Prec@1 48.000 (47.292)	Prec@5 76.500 (77.866)
Epoch: [40][4580/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.1535 (2.0452)	Prec@1 46.000 (47.291)	Prec@5 75.000 (77.865)
Epoch: [40][4590/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9551 (2.0453)	Prec@1 52.000 (47.287)	Prec@5 79.500 (77.864)
Epoch: [40][4600/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0661 (2.0452)	Prec@1 46.000 (47.290)	Prec@5 77.000 (77.864)
Epoch: [40][4610/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0132 (2.0452)	Prec@1 48.000 (47.289)	Prec@5 78.000 (77.866)
Epoch: [40][4620/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8843 (2.0451)	Prec@1 52.000 (47.291)	Prec@5 80.500 (77.866)
Epoch: [40][4630/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9768 (2.0451)	Prec@1 47.000 (47.289)	Prec@5 80.500 (77.867)
Epoch: [40][4640/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9688 (2.0450)	Prec@1 51.500 (47.294)	Prec@5 79.500 (77.867)
Epoch: [40][4650/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1412 (2.0451)	Prec@1 43.000 (47.293)	Prec@5 77.000 (77.866)
Epoch: [40][4660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2887 (2.0452)	Prec@1 43.500 (47.291)	Prec@5 69.500 (77.864)
Epoch: [40][4670/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9077 (2.0452)	Prec@1 54.000 (47.293)	Prec@5 80.000 (77.863)
Epoch: [40][4680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1795 (2.0452)	Prec@1 49.000 (47.293)	Prec@5 74.500 (77.864)
Epoch: [40][4690/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2895 (2.0453)	Prec@1 45.000 (47.292)	Prec@5 75.000 (77.863)
Epoch: [40][4700/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8588 (2.0452)	Prec@1 52.500 (47.292)	Prec@5 82.500 (77.865)
Epoch: [40][4710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2393 (2.0454)	Prec@1 44.000 (47.290)	Prec@5 73.500 (77.861)
Epoch: [40][4720/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0483 (2.0455)	Prec@1 46.500 (47.290)	Prec@5 77.500 (77.858)
Epoch: [40][4730/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1080 (2.0455)	Prec@1 46.500 (47.291)	Prec@5 78.000 (77.860)
Epoch: [40][4740/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.0310 (2.0456)	Prec@1 46.500 (47.290)	Prec@5 75.000 (77.861)
Epoch: [40][4750/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2879 (2.0457)	Prec@1 42.000 (47.284)	Prec@5 70.500 (77.858)
Epoch: [40][4760/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.4307 (2.0457)	Prec@1 39.000 (47.285)	Prec@5 69.000 (77.857)
Epoch: [40][4770/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9799 (2.0457)	Prec@1 50.500 (47.283)	Prec@5 81.000 (77.855)
Epoch: [40][4780/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0959 (2.0458)	Prec@1 47.500 (47.282)	Prec@5 79.000 (77.853)
Epoch: [40][4790/9018]	Time 0.710 (0.615)	Data 0.001 (0.001)	Loss 2.1796 (2.0457)	Prec@1 43.500 (47.284)	Prec@5 77.500 (77.856)
Epoch: [40][4800/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0804 (2.0457)	Prec@1 49.500 (47.285)	Prec@5 78.000 (77.855)
Epoch: [40][4810/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0970 (2.0458)	Prec@1 48.500 (47.285)	Prec@5 78.500 (77.854)
Epoch: [40][4820/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8684 (2.0458)	Prec@1 51.500 (47.283)	Prec@5 80.500 (77.854)
Epoch: [40][4830/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1457 (2.0459)	Prec@1 42.000 (47.282)	Prec@5 81.500 (77.857)
Epoch: [40][4840/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 1.7999 (2.0459)	Prec@1 54.500 (47.283)	Prec@5 83.500 (77.858)
Epoch: [40][4850/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0821 (2.0459)	Prec@1 44.500 (47.281)	Prec@5 74.000 (77.854)
Epoch: [40][4860/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0319 (2.0459)	Prec@1 47.500 (47.281)	Prec@5 79.000 (77.855)
Epoch: [40][4870/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2763 (2.0459)	Prec@1 42.500 (47.282)	Prec@5 76.500 (77.856)
Epoch: [40][4880/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9304 (2.0459)	Prec@1 48.500 (47.284)	Prec@5 82.000 (77.855)
Epoch: [40][4890/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9867 (2.0458)	Prec@1 49.000 (47.284)	Prec@5 80.500 (77.856)
Epoch: [40][4900/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.7000 (2.0458)	Prec@1 57.500 (47.287)	Prec@5 86.000 (77.856)
Epoch: [40][4910/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0014 (2.0458)	Prec@1 46.000 (47.284)	Prec@5 77.000 (77.855)
Epoch: [40][4920/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.0971 (2.0458)	Prec@1 45.500 (47.283)	Prec@5 73.500 (77.855)
Epoch: [40][4930/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.2348 (2.0458)	Prec@1 43.500 (47.282)	Prec@5 74.500 (77.854)
Epoch: [40][4940/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.9911 (2.0458)	Prec@1 50.000 (47.281)	Prec@5 78.000 (77.854)
Epoch: [40][4950/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2228 (2.0459)	Prec@1 45.000 (47.280)	Prec@5 74.500 (77.852)
Epoch: [40][4960/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.1536 (2.0459)	Prec@1 46.000 (47.280)	Prec@5 73.000 (77.853)
Epoch: [40][4970/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9595 (2.0459)	Prec@1 50.500 (47.280)	Prec@5 78.500 (77.852)
Epoch: [40][4980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0308 (2.0460)	Prec@1 49.000 (47.279)	Prec@5 81.000 (77.853)
Epoch: [40][4990/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2866 (2.0461)	Prec@1 45.500 (47.275)	Prec@5 74.500 (77.849)
Epoch: [40][5000/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.8254 (2.0461)	Prec@1 57.000 (47.278)	Prec@5 82.000 (77.848)
Epoch: [40][5010/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9681 (2.0460)	Prec@1 45.000 (47.280)	Prec@5 82.000 (77.851)
Epoch: [40][5020/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1157 (2.0459)	Prec@1 48.000 (47.280)	Prec@5 76.500 (77.854)
Epoch: [40][5030/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1317 (2.0460)	Prec@1 43.000 (47.276)	Prec@5 79.000 (77.854)
Epoch: [40][5040/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0272 (2.0459)	Prec@1 48.000 (47.276)	Prec@5 77.000 (77.852)
Epoch: [40][5050/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9576 (2.0459)	Prec@1 52.000 (47.276)	Prec@5 76.500 (77.853)
Epoch: [40][5060/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0778 (2.0461)	Prec@1 44.500 (47.273)	Prec@5 77.500 (77.849)
Epoch: [40][5070/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1965 (2.0462)	Prec@1 42.000 (47.271)	Prec@5 75.000 (77.850)
Epoch: [40][5080/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.1243 (2.0462)	Prec@1 44.000 (47.268)	Prec@5 79.000 (77.851)
Epoch: [40][5090/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9490 (2.0462)	Prec@1 46.500 (47.268)	Prec@5 79.500 (77.852)
Epoch: [40][5100/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.1046 (2.0462)	Prec@1 46.000 (47.269)	Prec@5 79.500 (77.852)
Epoch: [40][5110/9018]	Time 0.606 (0.615)	Data 0.002 (0.001)	Loss 2.1476 (2.0461)	Prec@1 43.500 (47.270)	Prec@5 78.000 (77.854)
Epoch: [40][5120/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.2552 (2.0462)	Prec@1 42.500 (47.270)	Prec@5 74.000 (77.853)
Epoch: [40][5130/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0386 (2.0462)	Prec@1 46.500 (47.271)	Prec@5 77.500 (77.852)
Epoch: [40][5140/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1385 (2.0462)	Prec@1 45.500 (47.272)	Prec@5 77.000 (77.852)
Epoch: [40][5150/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 1.9729 (2.0463)	Prec@1 49.000 (47.268)	Prec@5 80.000 (77.850)
Epoch: [40][5160/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2427 (2.0464)	Prec@1 43.000 (47.266)	Prec@5 72.000 (77.846)
Epoch: [40][5170/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.1505 (2.0465)	Prec@1 49.000 (47.265)	Prec@5 75.000 (77.843)
Epoch: [40][5180/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0437 (2.0466)	Prec@1 45.500 (47.264)	Prec@5 78.000 (77.842)
Epoch: [40][5190/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9474 (2.0465)	Prec@1 49.500 (47.266)	Prec@5 80.500 (77.843)
Epoch: [40][5200/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2907 (2.0466)	Prec@1 45.500 (47.267)	Prec@5 76.500 (77.841)
Epoch: [40][5210/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9943 (2.0466)	Prec@1 50.500 (47.268)	Prec@5 78.500 (77.839)
Epoch: [40][5220/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3487 (2.0466)	Prec@1 39.500 (47.266)	Prec@5 73.000 (77.837)
Epoch: [40][5230/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.7560 (2.0466)	Prec@1 49.000 (47.270)	Prec@5 84.000 (77.836)
Epoch: [40][5240/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1698 (2.0466)	Prec@1 42.500 (47.267)	Prec@5 76.000 (77.836)
Epoch: [40][5250/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0670 (2.0467)	Prec@1 48.500 (47.267)	Prec@5 77.000 (77.835)
Epoch: [40][5260/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0212 (2.0467)	Prec@1 45.500 (47.266)	Prec@5 80.500 (77.836)
Epoch: [40][5270/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1515 (2.0468)	Prec@1 45.000 (47.263)	Prec@5 75.500 (77.836)
Epoch: [40][5280/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.6976 (2.0468)	Prec@1 54.000 (47.262)	Prec@5 84.500 (77.839)
Epoch: [40][5290/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9250 (2.0469)	Prec@1 47.500 (47.259)	Prec@5 80.500 (77.838)
Epoch: [40][5300/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.9886 (2.0469)	Prec@1 50.500 (47.258)	Prec@5 80.500 (77.837)
Epoch: [40][5310/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9400 (2.0468)	Prec@1 48.500 (47.259)	Prec@5 79.000 (77.840)
Epoch: [40][5320/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1449 (2.0468)	Prec@1 48.000 (47.260)	Prec@5 74.000 (77.840)
Epoch: [40][5330/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.2705 (2.0468)	Prec@1 43.500 (47.259)	Prec@5 72.000 (77.839)
Epoch: [40][5340/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9801 (2.0469)	Prec@1 50.000 (47.259)	Prec@5 75.500 (77.837)
Epoch: [40][5350/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.9231 (2.0469)	Prec@1 45.000 (47.259)	Prec@5 83.000 (77.835)
Epoch: [40][5360/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.9457 (2.0470)	Prec@1 50.500 (47.258)	Prec@5 76.000 (77.833)
Epoch: [40][5370/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1103 (2.0469)	Prec@1 41.500 (47.259)	Prec@5 76.500 (77.832)
Epoch: [40][5380/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.2775 (2.0469)	Prec@1 45.500 (47.260)	Prec@5 73.500 (77.830)
Epoch: [40][5390/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2219 (2.0470)	Prec@1 44.500 (47.257)	Prec@5 72.500 (77.829)
Epoch: [40][5400/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0472 (2.0469)	Prec@1 49.000 (47.257)	Prec@5 77.000 (77.828)
Epoch: [40][5410/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0620 (2.0468)	Prec@1 47.500 (47.258)	Prec@5 78.500 (77.831)
Epoch: [40][5420/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0091 (2.0469)	Prec@1 54.500 (47.259)	Prec@5 76.500 (77.829)
Epoch: [40][5430/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2883 (2.0469)	Prec@1 47.500 (47.260)	Prec@5 73.000 (77.828)
Epoch: [40][5440/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0445 (2.0471)	Prec@1 50.000 (47.260)	Prec@5 77.500 (77.825)
Epoch: [40][5450/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.2357 (2.0472)	Prec@1 46.500 (47.258)	Prec@5 72.500 (77.825)
Epoch: [40][5460/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0383 (2.0472)	Prec@1 50.500 (47.259)	Prec@5 76.000 (77.824)
Epoch: [40][5470/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1016 (2.0470)	Prec@1 50.000 (47.264)	Prec@5 75.500 (77.828)
Epoch: [40][5480/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1330 (2.0472)	Prec@1 44.500 (47.262)	Prec@5 74.500 (77.824)
Epoch: [40][5490/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1297 (2.0471)	Prec@1 48.500 (47.266)	Prec@5 75.000 (77.826)
Epoch: [40][5500/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 1.9411 (2.0470)	Prec@1 50.500 (47.270)	Prec@5 81.000 (77.830)
Epoch: [40][5510/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0921 (2.0469)	Prec@1 48.500 (47.273)	Prec@5 79.000 (77.831)
Epoch: [40][5520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0570 (2.0469)	Prec@1 44.500 (47.276)	Prec@5 76.500 (77.833)
Epoch: [40][5530/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0439 (2.0468)	Prec@1 49.000 (47.274)	Prec@5 75.000 (77.831)
Epoch: [40][5540/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8373 (2.0468)	Prec@1 57.000 (47.277)	Prec@5 80.500 (77.832)
Epoch: [40][5550/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.9353 (2.0469)	Prec@1 50.500 (47.274)	Prec@5 80.000 (77.828)
Epoch: [40][5560/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.1520 (2.0470)	Prec@1 45.500 (47.270)	Prec@5 74.500 (77.826)
Epoch: [40][5570/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9782 (2.0470)	Prec@1 48.000 (47.269)	Prec@5 77.000 (77.825)
Epoch: [40][5580/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0317 (2.0471)	Prec@1 46.500 (47.267)	Prec@5 80.000 (77.824)
Epoch: [40][5590/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0657 (2.0471)	Prec@1 49.000 (47.267)	Prec@5 77.000 (77.822)
Epoch: [40][5600/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9183 (2.0471)	Prec@1 50.000 (47.271)	Prec@5 81.500 (77.822)
Epoch: [40][5610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2134 (2.0471)	Prec@1 43.000 (47.271)	Prec@5 74.500 (77.822)
Epoch: [40][5620/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3721 (2.0471)	Prec@1 43.500 (47.270)	Prec@5 73.000 (77.821)
Epoch: [40][5630/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.1385 (2.0471)	Prec@1 45.500 (47.270)	Prec@5 74.500 (77.821)
Epoch: [40][5640/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2246 (2.0471)	Prec@1 41.500 (47.270)	Prec@5 76.500 (77.822)
Epoch: [40][5650/9018]	Time 0.648 (0.615)	Data 0.001 (0.001)	Loss 1.9303 (2.0470)	Prec@1 50.000 (47.269)	Prec@5 79.000 (77.824)
Epoch: [40][5660/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0042 (2.0471)	Prec@1 47.000 (47.268)	Prec@5 76.500 (77.821)
Epoch: [40][5670/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.8800 (2.0472)	Prec@1 50.000 (47.266)	Prec@5 84.000 (77.822)
Epoch: [40][5680/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0696 (2.0471)	Prec@1 46.500 (47.263)	Prec@5 78.500 (77.822)
Epoch: [40][5690/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0326 (2.0471)	Prec@1 50.000 (47.265)	Prec@5 78.000 (77.821)
Epoch: [40][5700/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.9062 (2.0471)	Prec@1 47.000 (47.265)	Prec@5 83.500 (77.822)
Epoch: [40][5710/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.7710 (2.0469)	Prec@1 50.500 (47.266)	Prec@5 84.500 (77.825)
Epoch: [40][5720/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1877 (2.0470)	Prec@1 45.000 (47.268)	Prec@5 77.000 (77.824)
Epoch: [40][5730/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0991 (2.0469)	Prec@1 46.000 (47.267)	Prec@5 74.500 (77.825)
Epoch: [40][5740/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1524 (2.0469)	Prec@1 46.000 (47.269)	Prec@5 76.000 (77.826)
Epoch: [40][5750/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8656 (2.0468)	Prec@1 52.000 (47.270)	Prec@5 84.000 (77.828)
Epoch: [40][5760/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.1723 (2.0469)	Prec@1 43.000 (47.269)	Prec@5 76.000 (77.826)
Epoch: [40][5770/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0286 (2.0470)	Prec@1 47.500 (47.271)	Prec@5 79.000 (77.826)
Epoch: [40][5780/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.0314 (2.0469)	Prec@1 44.500 (47.273)	Prec@5 76.000 (77.826)
Epoch: [40][5790/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0789 (2.0470)	Prec@1 47.500 (47.273)	Prec@5 75.500 (77.826)
Epoch: [40][5800/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9566 (2.0470)	Prec@1 52.500 (47.273)	Prec@5 78.000 (77.825)
Epoch: [40][5810/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0783 (2.0470)	Prec@1 43.500 (47.271)	Prec@5 76.000 (77.824)
Epoch: [40][5820/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0523 (2.0470)	Prec@1 47.000 (47.267)	Prec@5 74.500 (77.823)
Epoch: [40][5830/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.2864 (2.0470)	Prec@1 45.000 (47.267)	Prec@5 75.000 (77.822)
Epoch: [40][5840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9453 (2.0471)	Prec@1 45.500 (47.265)	Prec@5 81.000 (77.822)
Epoch: [40][5850/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.1981 (2.0472)	Prec@1 47.000 (47.263)	Prec@5 76.000 (77.820)
Epoch: [40][5860/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.8852 (2.0472)	Prec@1 52.000 (47.265)	Prec@5 82.500 (77.819)
Epoch: [40][5870/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9569 (2.0472)	Prec@1 50.000 (47.268)	Prec@5 80.000 (77.818)
Epoch: [40][5880/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.1768 (2.0473)	Prec@1 42.000 (47.265)	Prec@5 74.000 (77.817)
Epoch: [40][5890/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1412 (2.0474)	Prec@1 39.000 (47.263)	Prec@5 77.000 (77.813)
Epoch: [40][5900/9018]	Time 0.650 (0.615)	Data 0.001 (0.001)	Loss 1.9641 (2.0474)	Prec@1 50.000 (47.264)	Prec@5 77.500 (77.812)
Epoch: [40][5910/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3784 (2.0475)	Prec@1 44.500 (47.260)	Prec@5 70.500 (77.809)
Epoch: [40][5920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0853 (2.0475)	Prec@1 50.500 (47.261)	Prec@5 78.500 (77.809)
Epoch: [40][5930/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0747 (2.0475)	Prec@1 48.500 (47.263)	Prec@5 77.500 (77.809)
Epoch: [40][5940/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.2915 (2.0476)	Prec@1 46.500 (47.262)	Prec@5 72.500 (77.807)
Epoch: [40][5950/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8267 (2.0477)	Prec@1 55.000 (47.261)	Prec@5 82.000 (77.804)
Epoch: [40][5960/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9079 (2.0476)	Prec@1 50.500 (47.262)	Prec@5 83.500 (77.803)
Epoch: [40][5970/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0918 (2.0476)	Prec@1 44.500 (47.264)	Prec@5 77.500 (77.803)
Epoch: [40][5980/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.0796 (2.0477)	Prec@1 46.000 (47.263)	Prec@5 76.500 (77.803)
Epoch: [40][5990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1493 (2.0477)	Prec@1 50.000 (47.263)	Prec@5 72.500 (77.801)
Epoch: [40][6000/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.1308 (2.0476)	Prec@1 44.500 (47.264)	Prec@5 77.000 (77.803)
Epoch: [40][6010/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9526 (2.0475)	Prec@1 48.500 (47.264)	Prec@5 79.500 (77.804)
Epoch: [40][6020/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0791 (2.0475)	Prec@1 44.000 (47.266)	Prec@5 78.000 (77.806)
Epoch: [40][6030/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.2494 (2.0475)	Prec@1 45.000 (47.266)	Prec@5 76.000 (77.807)
Epoch: [40][6040/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1471 (2.0475)	Prec@1 42.500 (47.268)	Prec@5 77.500 (77.808)
Epoch: [40][6050/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.9833 (2.0474)	Prec@1 47.500 (47.268)	Prec@5 79.000 (77.810)
Epoch: [40][6060/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0627 (2.0474)	Prec@1 46.000 (47.267)	Prec@5 78.000 (77.811)
Epoch: [40][6070/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.2124 (2.0475)	Prec@1 45.500 (47.264)	Prec@5 74.000 (77.808)
Epoch: [40][6080/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9641 (2.0474)	Prec@1 51.000 (47.268)	Prec@5 75.000 (77.809)
Epoch: [40][6090/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0120 (2.0473)	Prec@1 49.500 (47.270)	Prec@5 75.000 (77.811)
Epoch: [40][6100/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3078 (2.0473)	Prec@1 40.500 (47.270)	Prec@5 73.000 (77.808)
Epoch: [40][6110/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 2.0841 (2.0473)	Prec@1 51.000 (47.271)	Prec@5 77.000 (77.810)
Epoch: [40][6120/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3021 (2.0473)	Prec@1 40.500 (47.270)	Prec@5 74.000 (77.809)
Epoch: [40][6130/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.0725 (2.0473)	Prec@1 47.000 (47.271)	Prec@5 77.000 (77.808)
Epoch: [40][6140/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0232 (2.0473)	Prec@1 46.000 (47.271)	Prec@5 80.000 (77.809)
Epoch: [40][6150/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1714 (2.0474)	Prec@1 46.000 (47.268)	Prec@5 74.500 (77.808)
Epoch: [40][6160/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.4060 (2.0475)	Prec@1 42.500 (47.266)	Prec@5 74.500 (77.806)
Epoch: [40][6170/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.2018 (2.0475)	Prec@1 43.500 (47.265)	Prec@5 77.000 (77.806)
Epoch: [40][6180/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9819 (2.0476)	Prec@1 49.000 (47.263)	Prec@5 76.500 (77.805)
Epoch: [40][6190/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0768 (2.0477)	Prec@1 43.500 (47.259)	Prec@5 76.500 (77.804)
Epoch: [40][6200/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0040 (2.0477)	Prec@1 46.000 (47.259)	Prec@5 75.500 (77.802)
Epoch: [40][6210/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.3336 (2.0478)	Prec@1 42.500 (47.258)	Prec@5 71.500 (77.801)
Epoch: [40][6220/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2880 (2.0479)	Prec@1 43.500 (47.258)	Prec@5 75.000 (77.799)
Epoch: [40][6230/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1398 (2.0479)	Prec@1 44.000 (47.256)	Prec@5 76.500 (77.796)
Epoch: [40][6240/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0026 (2.0478)	Prec@1 50.000 (47.256)	Prec@5 80.500 (77.799)
Epoch: [40][6250/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1608 (2.0479)	Prec@1 51.500 (47.256)	Prec@5 76.000 (77.799)
Epoch: [40][6260/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9065 (2.0479)	Prec@1 51.500 (47.258)	Prec@5 78.500 (77.799)
Epoch: [40][6270/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0375 (2.0479)	Prec@1 46.000 (47.258)	Prec@5 77.500 (77.796)
Epoch: [40][6280/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0456 (2.0479)	Prec@1 47.000 (47.258)	Prec@5 77.000 (77.797)
Epoch: [40][6290/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.9837 (2.0479)	Prec@1 46.000 (47.256)	Prec@5 77.000 (77.797)
Epoch: [40][6300/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9385 (2.0479)	Prec@1 47.000 (47.255)	Prec@5 79.500 (77.797)
Epoch: [40][6310/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.7891 (2.0479)	Prec@1 55.500 (47.257)	Prec@5 82.000 (77.798)
Epoch: [40][6320/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8716 (2.0478)	Prec@1 52.500 (47.261)	Prec@5 78.500 (77.799)
Epoch: [40][6330/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9681 (2.0479)	Prec@1 47.500 (47.261)	Prec@5 80.500 (77.797)
Epoch: [40][6340/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0124 (2.0478)	Prec@1 45.500 (47.262)	Prec@5 77.500 (77.801)
Epoch: [40][6350/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9757 (2.0478)	Prec@1 51.000 (47.262)	Prec@5 78.000 (77.800)
Epoch: [40][6360/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0577 (2.0478)	Prec@1 45.500 (47.262)	Prec@5 78.000 (77.798)
Epoch: [40][6370/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0719 (2.0478)	Prec@1 51.500 (47.263)	Prec@5 75.500 (77.800)
Epoch: [40][6380/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9890 (2.0478)	Prec@1 44.000 (47.262)	Prec@5 79.500 (77.799)
Epoch: [40][6390/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0063 (2.0479)	Prec@1 47.500 (47.261)	Prec@5 77.500 (77.799)
Epoch: [40][6400/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.1068 (2.0479)	Prec@1 48.000 (47.262)	Prec@5 77.500 (77.800)
Epoch: [40][6410/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2082 (2.0479)	Prec@1 48.000 (47.261)	Prec@5 74.000 (77.798)
Epoch: [40][6420/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0346 (2.0479)	Prec@1 49.500 (47.262)	Prec@5 80.000 (77.797)
Epoch: [40][6430/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2313 (2.0479)	Prec@1 44.500 (47.263)	Prec@5 73.500 (77.797)
Epoch: [40][6440/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 1.9474 (2.0479)	Prec@1 51.500 (47.261)	Prec@5 79.000 (77.796)
Epoch: [40][6450/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1053 (2.0479)	Prec@1 43.500 (47.263)	Prec@5 80.500 (77.799)
Epoch: [40][6460/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1605 (2.0480)	Prec@1 47.500 (47.260)	Prec@5 74.000 (77.797)
Epoch: [40][6470/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 1.9255 (2.0480)	Prec@1 53.000 (47.263)	Prec@5 81.000 (77.797)
Epoch: [40][6480/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.9135 (2.0481)	Prec@1 51.000 (47.261)	Prec@5 79.000 (77.795)
Epoch: [40][6490/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 1.7744 (2.0480)	Prec@1 50.500 (47.262)	Prec@5 82.500 (77.795)
Epoch: [40][6500/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8246 (2.0480)	Prec@1 50.000 (47.261)	Prec@5 82.000 (77.796)
Epoch: [40][6510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1503 (2.0481)	Prec@1 42.500 (47.259)	Prec@5 76.500 (77.795)
Epoch: [40][6520/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9048 (2.0480)	Prec@1 48.000 (47.258)	Prec@5 82.000 (77.796)
Epoch: [40][6530/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0694 (2.0481)	Prec@1 50.000 (47.260)	Prec@5 78.000 (77.795)
Epoch: [40][6540/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1579 (2.0481)	Prec@1 50.000 (47.261)	Prec@5 77.500 (77.795)
Epoch: [40][6550/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0733 (2.0482)	Prec@1 44.500 (47.262)	Prec@5 78.500 (77.794)
Epoch: [40][6560/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.3451 (2.0482)	Prec@1 44.000 (47.262)	Prec@5 74.000 (77.793)
Epoch: [40][6570/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0907 (2.0483)	Prec@1 45.500 (47.259)	Prec@5 78.500 (77.793)
Epoch: [40][6580/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1757 (2.0484)	Prec@1 46.000 (47.257)	Prec@5 77.000 (77.790)
Epoch: [40][6590/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9970 (2.0485)	Prec@1 45.500 (47.255)	Prec@5 80.500 (77.790)
Epoch: [40][6600/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9343 (2.0486)	Prec@1 49.000 (47.256)	Prec@5 78.000 (77.789)
Epoch: [40][6610/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.8731 (2.0485)	Prec@1 51.500 (47.260)	Prec@5 80.500 (77.790)
Epoch: [40][6620/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.2026 (2.0486)	Prec@1 41.500 (47.257)	Prec@5 72.000 (77.789)
Epoch: [40][6630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1046 (2.0485)	Prec@1 47.000 (47.256)	Prec@5 77.000 (77.791)
Epoch: [40][6640/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0238 (2.0484)	Prec@1 49.000 (47.256)	Prec@5 78.000 (77.792)
Epoch: [40][6650/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0132 (2.0484)	Prec@1 50.500 (47.257)	Prec@5 78.500 (77.792)
Epoch: [40][6660/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1620 (2.0485)	Prec@1 50.500 (47.256)	Prec@5 71.500 (77.791)
Epoch: [40][6670/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1336 (2.0485)	Prec@1 45.500 (47.255)	Prec@5 78.000 (77.792)
Epoch: [40][6680/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2460 (2.0485)	Prec@1 45.500 (47.256)	Prec@5 73.000 (77.792)
Epoch: [40][6690/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0765 (2.0486)	Prec@1 49.000 (47.255)	Prec@5 76.000 (77.791)
Epoch: [40][6700/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8827 (2.0485)	Prec@1 47.500 (47.257)	Prec@5 81.000 (77.792)
Epoch: [40][6710/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9580 (2.0485)	Prec@1 47.500 (47.258)	Prec@5 82.500 (77.793)
Epoch: [40][6720/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.2100 (2.0485)	Prec@1 43.000 (47.255)	Prec@5 77.500 (77.795)
Epoch: [40][6730/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8030 (2.0485)	Prec@1 56.000 (47.256)	Prec@5 81.000 (77.793)
Epoch: [40][6740/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0098 (2.0486)	Prec@1 50.500 (47.256)	Prec@5 77.500 (77.791)
Epoch: [40][6750/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.2923 (2.0486)	Prec@1 44.000 (47.257)	Prec@5 70.000 (77.789)
Epoch: [40][6760/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1275 (2.0486)	Prec@1 47.000 (47.258)	Prec@5 74.500 (77.791)
Epoch: [40][6770/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.2723 (2.0485)	Prec@1 41.500 (47.258)	Prec@5 77.000 (77.795)
Epoch: [40][6780/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9715 (2.0485)	Prec@1 47.000 (47.259)	Prec@5 79.000 (77.795)
Epoch: [40][6790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2165 (2.0485)	Prec@1 47.000 (47.258)	Prec@5 75.000 (77.794)
Epoch: [40][6800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2244 (2.0485)	Prec@1 41.000 (47.256)	Prec@5 72.000 (77.793)
Epoch: [40][6810/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9749 (2.0485)	Prec@1 52.500 (47.256)	Prec@5 82.000 (77.793)
Epoch: [40][6820/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.0043 (2.0485)	Prec@1 48.500 (47.256)	Prec@5 77.500 (77.792)
Epoch: [40][6830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1838 (2.0486)	Prec@1 44.000 (47.253)	Prec@5 77.500 (77.790)
Epoch: [40][6840/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7645 (2.0486)	Prec@1 52.000 (47.255)	Prec@5 82.000 (77.791)
Epoch: [40][6850/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.1755 (2.0486)	Prec@1 46.000 (47.254)	Prec@5 75.000 (77.790)
Epoch: [40][6860/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9076 (2.0487)	Prec@1 47.500 (47.253)	Prec@5 83.000 (77.790)
Epoch: [40][6870/9018]	Time 0.622 (0.615)	Data 0.003 (0.001)	Loss 1.9713 (2.0487)	Prec@1 46.000 (47.252)	Prec@5 76.000 (77.787)
Epoch: [40][6880/9018]	Time 0.587 (0.615)	Data 0.001 (0.001)	Loss 1.9211 (2.0487)	Prec@1 50.000 (47.252)	Prec@5 81.500 (77.787)
Epoch: [40][6890/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9985 (2.0488)	Prec@1 46.000 (47.250)	Prec@5 78.500 (77.787)
Epoch: [40][6900/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.8951 (2.0489)	Prec@1 49.500 (47.249)	Prec@5 80.500 (77.785)
Epoch: [40][6910/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0282 (2.0489)	Prec@1 48.000 (47.251)	Prec@5 80.500 (77.783)
Epoch: [40][6920/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.2634 (2.0490)	Prec@1 46.500 (47.250)	Prec@5 73.000 (77.781)
Epoch: [40][6930/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2133 (2.0490)	Prec@1 46.500 (47.250)	Prec@5 71.500 (77.781)
Epoch: [40][6940/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1432 (2.0490)	Prec@1 45.000 (47.250)	Prec@5 76.000 (77.781)
Epoch: [40][6950/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.9248 (2.0490)	Prec@1 50.500 (47.248)	Prec@5 78.000 (77.780)
Epoch: [40][6960/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1354 (2.0491)	Prec@1 50.500 (47.249)	Prec@5 76.500 (77.780)
Epoch: [40][6970/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4431 (2.0490)	Prec@1 36.000 (47.247)	Prec@5 74.000 (77.781)
Epoch: [40][6980/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9431 (2.0489)	Prec@1 45.500 (47.248)	Prec@5 82.000 (77.783)
Epoch: [40][6990/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2195 (2.0490)	Prec@1 44.500 (47.247)	Prec@5 77.000 (77.782)
Epoch: [40][7000/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1434 (2.0490)	Prec@1 47.500 (47.246)	Prec@5 78.500 (77.782)
Epoch: [40][7010/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.1048 (2.0490)	Prec@1 47.500 (47.245)	Prec@5 73.500 (77.782)
Epoch: [40][7020/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.9082 (2.0490)	Prec@1 49.000 (47.244)	Prec@5 79.000 (77.781)
Epoch: [40][7030/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0168 (2.0490)	Prec@1 50.000 (47.247)	Prec@5 76.500 (77.781)
Epoch: [40][7040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1305 (2.0490)	Prec@1 46.500 (47.248)	Prec@5 76.500 (77.781)
Epoch: [40][7050/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9962 (2.0490)	Prec@1 46.500 (47.247)	Prec@5 83.500 (77.781)
Epoch: [40][7060/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2002 (2.0490)	Prec@1 44.000 (47.246)	Prec@5 73.000 (77.781)
Epoch: [40][7070/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1087 (2.0491)	Prec@1 48.500 (47.247)	Prec@5 79.000 (77.780)
Epoch: [40][7080/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3427 (2.0491)	Prec@1 45.000 (47.247)	Prec@5 69.500 (77.778)
Epoch: [40][7090/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9584 (2.0491)	Prec@1 51.000 (47.248)	Prec@5 77.500 (77.777)
Epoch: [40][7100/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.1591 (2.0492)	Prec@1 45.500 (47.247)	Prec@5 79.500 (77.775)
Epoch: [40][7110/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9942 (2.0492)	Prec@1 47.500 (47.245)	Prec@5 80.000 (77.773)
Epoch: [40][7120/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0631 (2.0493)	Prec@1 48.000 (47.244)	Prec@5 76.500 (77.771)
Epoch: [40][7130/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1296 (2.0494)	Prec@1 48.000 (47.243)	Prec@5 74.000 (77.769)
Epoch: [40][7140/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1220 (2.0494)	Prec@1 42.500 (47.242)	Prec@5 79.000 (77.769)
Epoch: [40][7150/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.1744 (2.0495)	Prec@1 46.000 (47.239)	Prec@5 78.000 (77.768)
Epoch: [40][7160/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2441 (2.0495)	Prec@1 45.000 (47.238)	Prec@5 75.500 (77.767)
Epoch: [40][7170/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1055 (2.0496)	Prec@1 46.000 (47.238)	Prec@5 79.500 (77.766)
Epoch: [40][7180/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9305 (2.0496)	Prec@1 48.500 (47.240)	Prec@5 80.500 (77.767)
Epoch: [40][7190/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.9520 (2.0496)	Prec@1 51.500 (47.241)	Prec@5 82.000 (77.767)
Epoch: [40][7200/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.8681 (2.0496)	Prec@1 51.500 (47.242)	Prec@5 79.500 (77.768)
Epoch: [40][7210/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1450 (2.0495)	Prec@1 46.500 (47.242)	Prec@5 78.000 (77.769)
Epoch: [40][7220/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1374 (2.0496)	Prec@1 47.500 (47.242)	Prec@5 74.000 (77.767)
Epoch: [40][7230/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.7698 (2.0496)	Prec@1 54.000 (47.242)	Prec@5 82.000 (77.766)
Epoch: [40][7240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2192 (2.0496)	Prec@1 43.000 (47.242)	Prec@5 71.000 (77.766)
Epoch: [40][7250/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.1516 (2.0496)	Prec@1 44.500 (47.240)	Prec@5 75.500 (77.765)
Epoch: [40][7260/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0422 (2.0497)	Prec@1 46.500 (47.240)	Prec@5 75.000 (77.764)
Epoch: [40][7270/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9106 (2.0497)	Prec@1 50.500 (47.240)	Prec@5 80.000 (77.761)
Epoch: [40][7280/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9876 (2.0496)	Prec@1 50.000 (47.241)	Prec@5 78.000 (77.762)
Epoch: [40][7290/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1955 (2.0497)	Prec@1 41.500 (47.241)	Prec@5 75.000 (77.760)
Epoch: [40][7300/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.0146 (2.0496)	Prec@1 50.500 (47.243)	Prec@5 77.000 (77.762)
Epoch: [40][7310/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9288 (2.0496)	Prec@1 47.500 (47.243)	Prec@5 82.000 (77.762)
Epoch: [40][7320/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1207 (2.0496)	Prec@1 46.500 (47.243)	Prec@5 77.500 (77.762)
Epoch: [40][7330/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9414 (2.0496)	Prec@1 50.500 (47.243)	Prec@5 81.000 (77.764)
Epoch: [40][7340/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2239 (2.0496)	Prec@1 44.500 (47.244)	Prec@5 70.500 (77.764)
Epoch: [40][7350/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1494 (2.0496)	Prec@1 46.000 (47.243)	Prec@5 75.000 (77.762)
Epoch: [40][7360/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3075 (2.0497)	Prec@1 43.500 (47.242)	Prec@5 74.000 (77.762)
Epoch: [40][7370/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9363 (2.0496)	Prec@1 46.500 (47.243)	Prec@5 80.500 (77.764)
Epoch: [40][7380/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.8964 (2.0496)	Prec@1 50.500 (47.243)	Prec@5 79.500 (77.764)
Epoch: [40][7390/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2541 (2.0497)	Prec@1 41.500 (47.243)	Prec@5 73.000 (77.762)
Epoch: [40][7400/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0296 (2.0497)	Prec@1 46.500 (47.241)	Prec@5 77.500 (77.761)
Epoch: [40][7410/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9777 (2.0496)	Prec@1 47.500 (47.241)	Prec@5 81.000 (77.763)
Epoch: [40][7420/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2215 (2.0497)	Prec@1 47.000 (47.243)	Prec@5 71.000 (77.761)
Epoch: [40][7430/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.3445 (2.0498)	Prec@1 42.500 (47.240)	Prec@5 70.000 (77.759)
Epoch: [40][7440/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1330 (2.0498)	Prec@1 46.000 (47.239)	Prec@5 75.000 (77.759)
Epoch: [40][7450/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9226 (2.0498)	Prec@1 51.000 (47.241)	Prec@5 81.500 (77.759)
Epoch: [40][7460/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9454 (2.0497)	Prec@1 46.000 (47.241)	Prec@5 82.000 (77.762)
Epoch: [40][7470/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9459 (2.0497)	Prec@1 50.500 (47.241)	Prec@5 78.500 (77.762)
Epoch: [40][7480/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 1.8156 (2.0496)	Prec@1 56.500 (47.246)	Prec@5 81.000 (77.764)
Epoch: [40][7490/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.1443 (2.0497)	Prec@1 49.000 (47.244)	Prec@5 76.000 (77.762)
Epoch: [40][7500/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.8169 (2.0497)	Prec@1 50.500 (47.245)	Prec@5 80.500 (77.763)
Epoch: [40][7510/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9361 (2.0498)	Prec@1 50.000 (47.241)	Prec@5 79.000 (77.759)
Epoch: [40][7520/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.9760 (2.0498)	Prec@1 51.500 (47.243)	Prec@5 76.500 (77.759)
Epoch: [40][7530/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1678 (2.0499)	Prec@1 44.000 (47.242)	Prec@5 76.500 (77.759)
Epoch: [40][7540/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.2523 (2.0499)	Prec@1 41.500 (47.242)	Prec@5 69.500 (77.759)
Epoch: [40][7550/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0967 (2.0499)	Prec@1 48.000 (47.242)	Prec@5 77.000 (77.758)
Epoch: [40][7560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1133 (2.0499)	Prec@1 46.500 (47.242)	Prec@5 78.000 (77.758)
Epoch: [40][7570/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0128 (2.0500)	Prec@1 48.500 (47.240)	Prec@5 77.500 (77.756)
Epoch: [40][7580/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0485 (2.0500)	Prec@1 47.000 (47.239)	Prec@5 78.500 (77.757)
Epoch: [40][7590/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0258 (2.0500)	Prec@1 50.500 (47.239)	Prec@5 80.000 (77.757)
Epoch: [40][7600/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0870 (2.0500)	Prec@1 45.500 (47.239)	Prec@5 78.500 (77.758)
Epoch: [40][7610/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.8677 (2.0500)	Prec@1 49.000 (47.237)	Prec@5 83.000 (77.758)
Epoch: [40][7620/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9253 (2.0501)	Prec@1 51.500 (47.237)	Prec@5 79.500 (77.758)
Epoch: [40][7630/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1636 (2.0501)	Prec@1 49.000 (47.235)	Prec@5 76.000 (77.756)
Epoch: [40][7640/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.3997 (2.0502)	Prec@1 41.500 (47.233)	Prec@5 70.500 (77.754)
Epoch: [40][7650/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9967 (2.0502)	Prec@1 44.000 (47.232)	Prec@5 79.000 (77.755)
Epoch: [40][7660/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8924 (2.0502)	Prec@1 49.000 (47.234)	Prec@5 81.000 (77.756)
Epoch: [40][7670/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0493 (2.0503)	Prec@1 46.000 (47.230)	Prec@5 79.500 (77.754)
Epoch: [40][7680/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8631 (2.0503)	Prec@1 53.500 (47.231)	Prec@5 82.500 (77.754)
Epoch: [40][7690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9467 (2.0503)	Prec@1 48.500 (47.231)	Prec@5 79.000 (77.755)
Epoch: [40][7700/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1209 (2.0503)	Prec@1 45.000 (47.230)	Prec@5 77.500 (77.754)
Epoch: [40][7710/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8239 (2.0503)	Prec@1 53.500 (47.229)	Prec@5 81.500 (77.752)
Epoch: [40][7720/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9746 (2.0503)	Prec@1 51.500 (47.229)	Prec@5 78.000 (77.752)
Epoch: [40][7730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0462 (2.0503)	Prec@1 43.000 (47.229)	Prec@5 80.500 (77.752)
Epoch: [40][7740/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.8890 (2.0503)	Prec@1 53.500 (47.231)	Prec@5 81.000 (77.754)
Epoch: [40][7750/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1475 (2.0502)	Prec@1 45.000 (47.231)	Prec@5 73.000 (77.754)
Epoch: [40][7760/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 2.1306 (2.0502)	Prec@1 47.000 (47.234)	Prec@5 76.000 (77.754)
Epoch: [40][7770/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.1604 (2.0502)	Prec@1 47.000 (47.235)	Prec@5 77.500 (77.754)
Epoch: [40][7780/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.2355 (2.0503)	Prec@1 44.000 (47.234)	Prec@5 71.000 (77.751)
Epoch: [40][7790/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1115 (2.0503)	Prec@1 40.500 (47.235)	Prec@5 73.000 (77.750)
Epoch: [40][7800/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.9518 (2.0502)	Prec@1 45.500 (47.236)	Prec@5 77.500 (77.753)
Epoch: [40][7810/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 1.9698 (2.0502)	Prec@1 50.000 (47.237)	Prec@5 80.500 (77.754)
Epoch: [40][7820/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.1546 (2.0502)	Prec@1 48.500 (47.237)	Prec@5 76.500 (77.752)
Epoch: [40][7830/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1252 (2.0503)	Prec@1 46.000 (47.238)	Prec@5 77.500 (77.752)
Epoch: [40][7840/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0964 (2.0502)	Prec@1 44.000 (47.237)	Prec@5 73.500 (77.753)
Epoch: [40][7850/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9419 (2.0502)	Prec@1 51.500 (47.235)	Prec@5 82.000 (77.753)
Epoch: [40][7860/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1378 (2.0503)	Prec@1 42.000 (47.234)	Prec@5 76.500 (77.753)
Epoch: [40][7870/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.2571 (2.0503)	Prec@1 42.500 (47.232)	Prec@5 72.000 (77.752)
Epoch: [40][7880/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.2910 (2.0503)	Prec@1 42.500 (47.234)	Prec@5 71.000 (77.750)
Epoch: [40][7890/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9845 (2.0503)	Prec@1 50.500 (47.235)	Prec@5 77.000 (77.751)
Epoch: [40][7900/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1252 (2.0504)	Prec@1 46.500 (47.232)	Prec@5 76.500 (77.748)
Epoch: [40][7910/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.9093 (2.0504)	Prec@1 55.500 (47.233)	Prec@5 78.000 (77.747)
Epoch: [40][7920/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9531 (2.0505)	Prec@1 52.500 (47.233)	Prec@5 79.500 (77.747)
Epoch: [40][7930/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0538 (2.0504)	Prec@1 46.500 (47.233)	Prec@5 77.000 (77.748)
Epoch: [40][7940/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1207 (2.0504)	Prec@1 46.500 (47.235)	Prec@5 72.500 (77.747)
Epoch: [40][7950/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.0756 (2.0504)	Prec@1 45.000 (47.234)	Prec@5 76.500 (77.747)
Epoch: [40][7960/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.9376 (2.0504)	Prec@1 47.500 (47.233)	Prec@5 80.500 (77.747)
Epoch: [40][7970/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2697 (2.0504)	Prec@1 43.500 (47.230)	Prec@5 73.500 (77.746)
Epoch: [40][7980/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1094 (2.0505)	Prec@1 47.000 (47.230)	Prec@5 76.500 (77.745)
Epoch: [40][7990/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1257 (2.0505)	Prec@1 47.500 (47.230)	Prec@5 74.500 (77.744)
Epoch: [40][8000/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8832 (2.0505)	Prec@1 55.000 (47.229)	Prec@5 81.500 (77.744)
Epoch: [40][8010/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9865 (2.0505)	Prec@1 45.500 (47.229)	Prec@5 82.000 (77.745)
Epoch: [40][8020/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.2407 (2.0505)	Prec@1 47.000 (47.230)	Prec@5 73.500 (77.744)
Epoch: [40][8030/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1040 (2.0506)	Prec@1 48.000 (47.230)	Prec@5 75.500 (77.743)
Epoch: [40][8040/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0916 (2.0506)	Prec@1 51.500 (47.230)	Prec@5 73.000 (77.741)
Epoch: [40][8050/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.0554 (2.0506)	Prec@1 46.000 (47.230)	Prec@5 76.500 (77.743)
Epoch: [40][8060/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2442 (2.0506)	Prec@1 41.500 (47.228)	Prec@5 76.000 (77.745)
Epoch: [40][8070/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0453 (2.0506)	Prec@1 46.000 (47.228)	Prec@5 79.000 (77.745)
Epoch: [40][8080/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0582 (2.0506)	Prec@1 47.500 (47.226)	Prec@5 76.500 (77.745)
Epoch: [40][8090/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 2.1065 (2.0508)	Prec@1 45.500 (47.224)	Prec@5 75.000 (77.742)
Epoch: [40][8100/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9271 (2.0507)	Prec@1 54.000 (47.226)	Prec@5 81.500 (77.743)
Epoch: [40][8110/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0300 (2.0507)	Prec@1 45.000 (47.226)	Prec@5 81.500 (77.745)
Epoch: [40][8120/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1588 (2.0507)	Prec@1 47.000 (47.226)	Prec@5 75.500 (77.746)
Epoch: [40][8130/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2964 (2.0507)	Prec@1 41.000 (47.224)	Prec@5 70.000 (77.745)
Epoch: [40][8140/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 1.9022 (2.0507)	Prec@1 46.000 (47.223)	Prec@5 83.500 (77.745)
Epoch: [40][8150/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9834 (2.0507)	Prec@1 49.000 (47.225)	Prec@5 81.000 (77.745)
Epoch: [40][8160/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0134 (2.0506)	Prec@1 50.500 (47.225)	Prec@5 79.000 (77.746)
Epoch: [40][8170/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.9219 (2.0506)	Prec@1 49.000 (47.226)	Prec@5 80.500 (77.746)
Epoch: [40][8180/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.9737 (2.0506)	Prec@1 52.000 (47.228)	Prec@5 79.000 (77.747)
Epoch: [40][8190/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.9434 (2.0506)	Prec@1 48.500 (47.230)	Prec@5 79.500 (77.747)
Epoch: [40][8200/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.9162 (2.0506)	Prec@1 46.000 (47.229)	Prec@5 79.500 (77.749)
Epoch: [40][8210/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1424 (2.0506)	Prec@1 40.000 (47.228)	Prec@5 76.000 (77.749)
Epoch: [40][8220/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0787 (2.0507)	Prec@1 46.000 (47.227)	Prec@5 77.000 (77.747)
Epoch: [40][8230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1117 (2.0507)	Prec@1 46.000 (47.229)	Prec@5 75.000 (77.747)
Epoch: [40][8240/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9318 (2.0507)	Prec@1 52.000 (47.228)	Prec@5 77.500 (77.746)
Epoch: [40][8250/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9978 (2.0508)	Prec@1 47.000 (47.226)	Prec@5 80.500 (77.745)
Epoch: [40][8260/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0499 (2.0508)	Prec@1 48.500 (47.225)	Prec@5 79.000 (77.745)
Epoch: [40][8270/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.9856 (2.0508)	Prec@1 46.500 (47.226)	Prec@5 82.000 (77.743)
Epoch: [40][8280/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0224 (2.0509)	Prec@1 51.000 (47.225)	Prec@5 77.500 (77.742)
Epoch: [40][8290/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0387 (2.0509)	Prec@1 46.000 (47.225)	Prec@5 78.000 (77.742)
Epoch: [40][8300/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 1.8142 (2.0509)	Prec@1 53.500 (47.226)	Prec@5 77.500 (77.742)
Epoch: [40][8310/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1645 (2.0509)	Prec@1 45.000 (47.224)	Prec@5 76.500 (77.741)
Epoch: [40][8320/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1305 (2.0510)	Prec@1 48.500 (47.223)	Prec@5 75.000 (77.738)
Epoch: [40][8330/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9869 (2.0510)	Prec@1 49.500 (47.223)	Prec@5 77.500 (77.737)
Epoch: [40][8340/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1251 (2.0510)	Prec@1 46.500 (47.223)	Prec@5 76.000 (77.738)
Epoch: [40][8350/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.7919 (2.0510)	Prec@1 50.000 (47.223)	Prec@5 80.500 (77.738)
Epoch: [40][8360/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2944 (2.0511)	Prec@1 42.000 (47.222)	Prec@5 74.000 (77.737)
Epoch: [40][8370/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0005 (2.0511)	Prec@1 49.500 (47.222)	Prec@5 78.500 (77.738)
Epoch: [40][8380/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.8867 (2.0511)	Prec@1 54.000 (47.222)	Prec@5 80.500 (77.738)
Epoch: [40][8390/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8681 (2.0510)	Prec@1 50.000 (47.223)	Prec@5 83.500 (77.740)
Epoch: [40][8400/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9116 (2.0510)	Prec@1 49.500 (47.222)	Prec@5 78.000 (77.739)
Epoch: [40][8410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2156 (2.0510)	Prec@1 43.500 (47.221)	Prec@5 74.000 (77.740)
Epoch: [40][8420/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.1454 (2.0509)	Prec@1 43.500 (47.223)	Prec@5 74.500 (77.741)
Epoch: [40][8430/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1593 (2.0510)	Prec@1 41.500 (47.223)	Prec@5 75.000 (77.740)
Epoch: [40][8440/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0291 (2.0510)	Prec@1 43.500 (47.223)	Prec@5 76.500 (77.740)
Epoch: [40][8450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1386 (2.0510)	Prec@1 49.000 (47.222)	Prec@5 73.500 (77.740)
Epoch: [40][8460/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1621 (2.0511)	Prec@1 42.500 (47.220)	Prec@5 76.500 (77.739)
Epoch: [40][8470/9018]	Time 0.717 (0.615)	Data 0.001 (0.001)	Loss 2.0165 (2.0511)	Prec@1 48.500 (47.221)	Prec@5 78.000 (77.738)
Epoch: [40][8480/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.8419 (2.0511)	Prec@1 54.500 (47.221)	Prec@5 80.000 (77.735)
Epoch: [40][8490/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.9967 (2.0511)	Prec@1 43.500 (47.221)	Prec@5 78.500 (77.736)
Epoch: [40][8500/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1768 (2.0511)	Prec@1 45.000 (47.223)	Prec@5 76.500 (77.737)
Epoch: [40][8510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2610 (2.0511)	Prec@1 42.000 (47.222)	Prec@5 71.000 (77.736)
Epoch: [40][8520/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2994 (2.0511)	Prec@1 40.500 (47.220)	Prec@5 75.000 (77.735)
Epoch: [40][8530/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1252 (2.0512)	Prec@1 49.000 (47.219)	Prec@5 74.000 (77.732)
Epoch: [40][8540/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.9799 (2.0512)	Prec@1 50.500 (47.219)	Prec@5 80.000 (77.732)
Epoch: [40][8550/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.0282 (2.0513)	Prec@1 46.000 (47.217)	Prec@5 74.500 (77.731)
Epoch: [40][8560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1040 (2.0513)	Prec@1 47.500 (47.218)	Prec@5 77.000 (77.730)
Epoch: [40][8570/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2159 (2.0513)	Prec@1 46.000 (47.218)	Prec@5 75.500 (77.731)
Epoch: [40][8580/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.2355 (2.0514)	Prec@1 41.500 (47.216)	Prec@5 74.000 (77.731)
Epoch: [40][8590/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0826 (2.0514)	Prec@1 48.000 (47.217)	Prec@5 77.500 (77.732)
Epoch: [40][8600/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9148 (2.0514)	Prec@1 46.500 (47.215)	Prec@5 81.500 (77.733)
Epoch: [40][8610/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.0049 (2.0513)	Prec@1 50.000 (47.217)	Prec@5 80.000 (77.734)
Epoch: [40][8620/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9466 (2.0513)	Prec@1 49.500 (47.217)	Prec@5 78.000 (77.734)
Epoch: [40][8630/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1607 (2.0513)	Prec@1 45.000 (47.218)	Prec@5 72.500 (77.734)
Epoch: [40][8640/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.2341 (2.0512)	Prec@1 37.500 (47.219)	Prec@5 73.500 (77.736)
Epoch: [40][8650/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0422 (2.0513)	Prec@1 42.000 (47.217)	Prec@5 82.500 (77.736)
Epoch: [40][8660/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.1144 (2.0513)	Prec@1 44.500 (47.216)	Prec@5 78.000 (77.735)
Epoch: [40][8670/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0437 (2.0513)	Prec@1 48.000 (47.218)	Prec@5 76.000 (77.734)
Epoch: [40][8680/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0341 (2.0512)	Prec@1 48.500 (47.218)	Prec@5 78.000 (77.736)
Epoch: [40][8690/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4614 (2.0513)	Prec@1 38.500 (47.219)	Prec@5 72.000 (77.735)
Epoch: [40][8700/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2116 (2.0512)	Prec@1 42.000 (47.217)	Prec@5 71.000 (77.736)
Epoch: [40][8710/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.0596 (2.0513)	Prec@1 50.500 (47.216)	Prec@5 76.500 (77.735)
Epoch: [40][8720/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.3499 (2.0513)	Prec@1 40.500 (47.214)	Prec@5 75.000 (77.735)
Epoch: [40][8730/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9685 (2.0514)	Prec@1 49.000 (47.213)	Prec@5 82.000 (77.734)
Epoch: [40][8740/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2645 (2.0515)	Prec@1 45.500 (47.213)	Prec@5 76.000 (77.732)
Epoch: [40][8750/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.2255 (2.0515)	Prec@1 42.000 (47.211)	Prec@5 79.000 (77.732)
Epoch: [40][8760/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2016 (2.0516)	Prec@1 45.000 (47.209)	Prec@5 75.500 (77.730)
Epoch: [40][8770/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1998 (2.0516)	Prec@1 41.500 (47.207)	Prec@5 72.500 (77.730)
Epoch: [40][8780/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0664 (2.0517)	Prec@1 47.500 (47.206)	Prec@5 79.500 (77.728)
Epoch: [40][8790/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9701 (2.0516)	Prec@1 48.000 (47.207)	Prec@5 78.500 (77.729)
Epoch: [40][8800/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 1.9961 (2.0516)	Prec@1 47.500 (47.207)	Prec@5 80.000 (77.730)
Epoch: [40][8810/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7477 (2.0516)	Prec@1 53.500 (47.208)	Prec@5 83.500 (77.732)
Epoch: [40][8820/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0814 (2.0517)	Prec@1 47.000 (47.206)	Prec@5 78.500 (77.731)
Epoch: [40][8830/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1563 (2.0517)	Prec@1 43.500 (47.205)	Prec@5 73.500 (77.730)
Epoch: [40][8840/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1613 (2.0518)	Prec@1 42.000 (47.204)	Prec@5 77.000 (77.729)
Epoch: [40][8850/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1197 (2.0518)	Prec@1 42.000 (47.203)	Prec@5 75.000 (77.728)
Epoch: [40][8860/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1054 (2.0518)	Prec@1 45.500 (47.205)	Prec@5 77.000 (77.729)
Epoch: [40][8870/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9839 (2.0518)	Prec@1 48.000 (47.204)	Prec@5 80.000 (77.729)
Epoch: [40][8880/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0110 (2.0518)	Prec@1 47.500 (47.205)	Prec@5 78.000 (77.728)
Epoch: [40][8890/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2077 (2.0519)	Prec@1 45.500 (47.203)	Prec@5 74.000 (77.726)
Epoch: [40][8900/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0709 (2.0519)	Prec@1 47.500 (47.204)	Prec@5 75.500 (77.725)
Epoch: [40][8910/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1864 (2.0519)	Prec@1 43.500 (47.205)	Prec@5 73.500 (77.726)
Epoch: [40][8920/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2408 (2.0520)	Prec@1 42.000 (47.204)	Prec@5 75.000 (77.727)
Epoch: [40][8930/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.1782 (2.0520)	Prec@1 41.500 (47.202)	Prec@5 73.000 (77.727)
Epoch: [40][8940/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0411 (2.0520)	Prec@1 46.500 (47.202)	Prec@5 78.500 (77.728)
Epoch: [40][8950/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8746 (2.0519)	Prec@1 47.500 (47.203)	Prec@5 84.500 (77.730)
Epoch: [40][8960/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0195 (2.0520)	Prec@1 49.500 (47.203)	Prec@5 74.000 (77.728)
Epoch: [40][8970/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1371 (2.0520)	Prec@1 43.000 (47.202)	Prec@5 77.500 (77.728)
Epoch: [40][8980/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9954 (2.0521)	Prec@1 51.000 (47.202)	Prec@5 77.500 (77.727)
Epoch: [40][8990/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.1068 (2.0520)	Prec@1 43.500 (47.202)	Prec@5 78.500 (77.728)
Epoch: [40][9000/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1371 (2.0520)	Prec@1 45.500 (47.203)	Prec@5 77.000 (77.729)
Epoch: [40][9010/9018]	Time 0.596 (0.615)	Data 0.000 (0.001)	Loss 2.1161 (2.0520)	Prec@1 46.500 (47.204)	Prec@5 78.000 (77.730)
Test: [0/183]	Time 1.385 (1.385)	Loss 2.7128 (2.7128)	Prec@1 32.000 (32.000)	Prec@5 66.500 (66.500)
Test: [10/183]	Time 0.205 (0.297)	Loss 1.5971 (1.7704)	Prec@1 59.000 (53.818)	Prec@5 85.000 (83.818)
Test: [20/183]	Time 0.191 (0.251)	Loss 2.3939 (1.7645)	Prec@1 36.500 (53.190)	Prec@5 72.500 (82.929)
Test: [30/183]	Time 0.188 (0.233)	Loss 2.3557 (1.7458)	Prec@1 30.000 (53.113)	Prec@5 74.500 (83.500)
Test: [40/183]	Time 0.182 (0.223)	Loss 2.1770 (1.7483)	Prec@1 46.000 (53.634)	Prec@5 79.000 (83.061)
Test: [50/183]	Time 0.190 (0.217)	Loss 1.4386 (1.7166)	Prec@1 63.000 (54.431)	Prec@5 88.000 (83.716)
Test: [60/183]	Time 0.195 (0.214)	Loss 2.1404 (1.7914)	Prec@1 46.500 (52.221)	Prec@5 80.500 (82.828)
Test: [70/183]	Time 0.200 (0.211)	Loss 1.7828 (1.7724)	Prec@1 51.500 (52.599)	Prec@5 85.000 (83.232)
Test: [80/183]	Time 0.189 (0.209)	Loss 1.4731 (1.7540)	Prec@1 56.500 (52.877)	Prec@5 93.000 (83.488)
Test: [90/183]	Time 0.192 (0.207)	Loss 2.1479 (1.7498)	Prec@1 47.500 (52.962)	Prec@5 77.500 (83.621)
Test: [100/183]	Time 0.196 (0.207)	Loss 0.9372 (1.7471)	Prec@1 72.000 (52.990)	Prec@5 93.000 (83.723)
Test: [110/183]	Time 0.180 (0.205)	Loss 0.7399 (1.7530)	Prec@1 80.000 (52.878)	Prec@5 95.500 (83.559)
Test: [120/183]	Time 0.182 (0.204)	Loss 2.2860 (1.7640)	Prec@1 36.500 (52.351)	Prec@5 72.500 (83.467)
Test: [130/183]	Time 0.202 (0.204)	Loss 3.1407 (1.7757)	Prec@1 17.500 (51.958)	Prec@5 66.000 (83.458)
Test: [140/183]	Time 0.182 (0.203)	Loss 1.5499 (1.7605)	Prec@1 63.000 (52.440)	Prec@5 83.500 (83.702)
Test: [150/183]	Time 0.183 (0.202)	Loss 0.6150 (1.7597)	Prec@1 84.500 (52.411)	Prec@5 98.000 (83.699)
Test: [160/183]	Time 0.191 (0.202)	Loss 1.6135 (1.7545)	Prec@1 53.500 (52.671)	Prec@5 83.000 (83.727)
Test: [170/183]	Time 0.188 (0.201)	Loss 2.2766 (1.7751)	Prec@1 37.000 (52.114)	Prec@5 82.000 (83.409)
Test: [180/183]	Time 0.173 (0.201)	Loss 1.8168 (1.7797)	Prec@1 53.500 (52.116)	Prec@5 84.500 (83.343)
 * Prec@1 52.173 Prec@5 83.342
Epoch: [41][0/9018]	Time 2.937 (2.937)	Data 2.295 (2.295)	Loss 1.8789 (1.8789)	Prec@1 51.500 (51.500)	Prec@5 78.500 (78.500)
Epoch: [41][10/9018]	Time 0.587 (0.807)	Data 0.001 (0.209)	Loss 2.1290 (2.0275)	Prec@1 45.500 (47.364)	Prec@5 77.000 (77.591)
Epoch: [41][20/9018]	Time 0.608 (0.715)	Data 0.001 (0.110)	Loss 2.0272 (2.0095)	Prec@1 48.000 (47.762)	Prec@5 78.500 (78.357)
Epoch: [41][30/9018]	Time 0.598 (0.681)	Data 0.001 (0.075)	Loss 2.0130 (2.0066)	Prec@1 52.500 (47.710)	Prec@5 80.500 (78.629)
Epoch: [41][40/9018]	Time 0.597 (0.663)	Data 0.001 (0.057)	Loss 1.8836 (2.0088)	Prec@1 45.000 (47.671)	Prec@5 81.000 (78.610)
Epoch: [41][50/9018]	Time 0.618 (0.654)	Data 0.001 (0.046)	Loss 2.2754 (2.0139)	Prec@1 42.000 (47.353)	Prec@5 74.000 (78.559)
Epoch: [41][60/9018]	Time 0.604 (0.648)	Data 0.001 (0.038)	Loss 2.1975 (2.0161)	Prec@1 39.000 (47.311)	Prec@5 76.000 (78.508)
Epoch: [41][70/9018]	Time 0.619 (0.643)	Data 0.001 (0.033)	Loss 2.0158 (2.0207)	Prec@1 47.000 (47.261)	Prec@5 81.500 (78.451)
Epoch: [41][80/9018]	Time 0.597 (0.641)	Data 0.001 (0.029)	Loss 2.0133 (2.0146)	Prec@1 45.000 (47.475)	Prec@5 78.000 (78.654)
Epoch: [41][90/9018]	Time 0.600 (0.637)	Data 0.001 (0.026)	Loss 2.1114 (2.0088)	Prec@1 47.500 (47.615)	Prec@5 79.000 (78.720)
Epoch: [41][100/9018]	Time 0.609 (0.636)	Data 0.001 (0.023)	Loss 2.0035 (2.0140)	Prec@1 43.000 (47.495)	Prec@5 78.000 (78.584)
Epoch: [41][110/9018]	Time 0.600 (0.633)	Data 0.001 (0.021)	Loss 2.0969 (2.0106)	Prec@1 49.500 (47.635)	Prec@5 77.500 (78.486)
Epoch: [41][120/9018]	Time 0.596 (0.631)	Data 0.001 (0.020)	Loss 1.8878 (2.0135)	Prec@1 50.000 (47.669)	Prec@5 81.000 (78.459)
Epoch: [41][130/9018]	Time 0.625 (0.631)	Data 0.001 (0.018)	Loss 1.9288 (2.0173)	Prec@1 47.500 (47.580)	Prec@5 80.000 (78.435)
Epoch: [41][140/9018]	Time 0.603 (0.629)	Data 0.001 (0.017)	Loss 1.9235 (2.0180)	Prec@1 43.500 (47.482)	Prec@5 83.000 (78.418)
Epoch: [41][150/9018]	Time 0.596 (0.629)	Data 0.001 (0.016)	Loss 2.0177 (2.0177)	Prec@1 47.500 (47.510)	Prec@5 78.500 (78.358)
Epoch: [41][160/9018]	Time 0.727 (0.628)	Data 0.001 (0.015)	Loss 1.9633 (2.0228)	Prec@1 49.000 (47.488)	Prec@5 81.000 (78.236)
Epoch: [41][170/9018]	Time 0.630 (0.628)	Data 0.001 (0.014)	Loss 2.1471 (2.0268)	Prec@1 47.000 (47.433)	Prec@5 72.500 (78.158)
Epoch: [41][180/9018]	Time 0.604 (0.628)	Data 0.001 (0.013)	Loss 1.8763 (2.0254)	Prec@1 47.000 (47.403)	Prec@5 80.500 (78.188)
Epoch: [41][190/9018]	Time 0.626 (0.626)	Data 0.001 (0.013)	Loss 1.8027 (2.0245)	Prec@1 55.000 (47.437)	Prec@5 83.000 (78.202)
Epoch: [41][200/9018]	Time 0.601 (0.626)	Data 0.001 (0.012)	Loss 1.8660 (2.0239)	Prec@1 51.000 (47.515)	Prec@5 81.000 (78.249)
Epoch: [41][210/9018]	Time 0.730 (0.626)	Data 0.001 (0.012)	Loss 1.9556 (2.0215)	Prec@1 51.000 (47.543)	Prec@5 79.000 (78.303)
Epoch: [41][220/9018]	Time 0.607 (0.625)	Data 0.001 (0.011)	Loss 1.8746 (2.0192)	Prec@1 51.500 (47.586)	Prec@5 79.000 (78.326)
Epoch: [41][230/9018]	Time 0.609 (0.625)	Data 0.001 (0.011)	Loss 1.9823 (2.0164)	Prec@1 50.500 (47.669)	Prec@5 78.500 (78.379)
Epoch: [41][240/9018]	Time 0.629 (0.625)	Data 0.001 (0.010)	Loss 1.9629 (2.0150)	Prec@1 49.500 (47.757)	Prec@5 82.000 (78.425)
Epoch: [41][250/9018]	Time 0.599 (0.624)	Data 0.001 (0.010)	Loss 1.9729 (2.0149)	Prec@1 45.500 (47.739)	Prec@5 81.000 (78.444)
Epoch: [41][260/9018]	Time 0.601 (0.624)	Data 0.001 (0.010)	Loss 1.9822 (2.0134)	Prec@1 47.500 (47.762)	Prec@5 78.500 (78.467)
Epoch: [41][270/9018]	Time 0.615 (0.623)	Data 0.001 (0.009)	Loss 2.1886 (2.0153)	Prec@1 45.500 (47.747)	Prec@5 78.000 (78.439)
Epoch: [41][280/9018]	Time 0.600 (0.623)	Data 0.001 (0.009)	Loss 1.7507 (2.0148)	Prec@1 57.000 (47.806)	Prec@5 82.000 (78.434)
Epoch: [41][290/9018]	Time 0.608 (0.623)	Data 0.001 (0.009)	Loss 2.1333 (2.0179)	Prec@1 45.500 (47.723)	Prec@5 76.500 (78.373)
Epoch: [41][300/9018]	Time 0.606 (0.623)	Data 0.001 (0.008)	Loss 1.9681 (2.0164)	Prec@1 46.500 (47.769)	Prec@5 79.500 (78.412)
Epoch: [41][310/9018]	Time 0.614 (0.623)	Data 0.001 (0.008)	Loss 2.1671 (2.0160)	Prec@1 42.000 (47.804)	Prec@5 76.000 (78.389)
Epoch: [41][320/9018]	Time 0.602 (0.623)	Data 0.001 (0.008)	Loss 2.0613 (2.0163)	Prec@1 45.500 (47.813)	Prec@5 77.500 (78.363)
Epoch: [41][330/9018]	Time 0.609 (0.622)	Data 0.001 (0.008)	Loss 2.0769 (2.0162)	Prec@1 44.000 (47.826)	Prec@5 77.000 (78.391)
Epoch: [41][340/9018]	Time 0.626 (0.622)	Data 0.001 (0.007)	Loss 2.0256 (2.0176)	Prec@1 45.000 (47.798)	Prec@5 77.000 (78.352)
Epoch: [41][350/9018]	Time 0.599 (0.622)	Data 0.001 (0.007)	Loss 2.0144 (2.0181)	Prec@1 47.500 (47.789)	Prec@5 81.500 (78.346)
Epoch: [41][360/9018]	Time 0.597 (0.622)	Data 0.001 (0.007)	Loss 1.9808 (2.0179)	Prec@1 51.000 (47.803)	Prec@5 79.000 (78.367)
Epoch: [41][370/9018]	Time 0.601 (0.621)	Data 0.001 (0.007)	Loss 2.0738 (2.0180)	Prec@1 46.500 (47.794)	Prec@5 77.500 (78.363)
Epoch: [41][380/9018]	Time 0.627 (0.621)	Data 0.001 (0.007)	Loss 2.0060 (2.0167)	Prec@1 41.500 (47.790)	Prec@5 78.500 (78.378)
Epoch: [41][390/9018]	Time 0.603 (0.621)	Data 0.001 (0.007)	Loss 2.1887 (2.0187)	Prec@1 42.000 (47.740)	Prec@5 77.000 (78.357)
Epoch: [41][400/9018]	Time 0.622 (0.621)	Data 0.001 (0.006)	Loss 1.9577 (2.0188)	Prec@1 49.500 (47.738)	Prec@5 78.000 (78.334)
Epoch: [41][410/9018]	Time 0.646 (0.621)	Data 0.001 (0.006)	Loss 2.2686 (2.0209)	Prec@1 45.500 (47.709)	Prec@5 76.500 (78.311)
Epoch: [41][420/9018]	Time 0.629 (0.621)	Data 0.001 (0.006)	Loss 2.0071 (2.0200)	Prec@1 50.000 (47.730)	Prec@5 76.500 (78.308)
Epoch: [41][430/9018]	Time 0.598 (0.621)	Data 0.001 (0.006)	Loss 2.1422 (2.0210)	Prec@1 41.500 (47.677)	Prec@5 75.500 (78.277)
Epoch: [41][440/9018]	Time 0.605 (0.620)	Data 0.001 (0.006)	Loss 1.9923 (2.0219)	Prec@1 50.500 (47.646)	Prec@5 76.500 (78.260)
Epoch: [41][450/9018]	Time 0.600 (0.620)	Data 0.001 (0.006)	Loss 1.7846 (2.0218)	Prec@1 54.000 (47.641)	Prec@5 80.000 (78.268)
Epoch: [41][460/9018]	Time 0.603 (0.620)	Data 0.001 (0.006)	Loss 2.0908 (2.0215)	Prec@1 46.000 (47.655)	Prec@5 76.500 (78.280)
Epoch: [41][470/9018]	Time 0.607 (0.620)	Data 0.001 (0.006)	Loss 1.7877 (2.0201)	Prec@1 54.000 (47.663)	Prec@5 82.500 (78.316)
Epoch: [41][480/9018]	Time 0.593 (0.620)	Data 0.001 (0.006)	Loss 2.1446 (2.0209)	Prec@1 42.500 (47.631)	Prec@5 73.500 (78.286)
Epoch: [41][490/9018]	Time 0.745 (0.620)	Data 0.001 (0.005)	Loss 1.8984 (2.0197)	Prec@1 47.500 (47.673)	Prec@5 81.500 (78.317)
Epoch: [41][500/9018]	Time 0.595 (0.620)	Data 0.001 (0.005)	Loss 1.8530 (2.0190)	Prec@1 49.000 (47.700)	Prec@5 83.000 (78.333)
Epoch: [41][510/9018]	Time 0.627 (0.620)	Data 0.001 (0.005)	Loss 2.1643 (2.0213)	Prec@1 44.000 (47.639)	Prec@5 71.500 (78.273)
Epoch: [41][520/9018]	Time 0.595 (0.620)	Data 0.001 (0.005)	Loss 2.0042 (2.0217)	Prec@1 46.000 (47.629)	Prec@5 79.000 (78.274)
Epoch: [41][530/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 2.0348 (2.0213)	Prec@1 47.000 (47.633)	Prec@5 80.000 (78.293)
Epoch: [41][540/9018]	Time 0.745 (0.620)	Data 0.001 (0.005)	Loss 1.8973 (2.0202)	Prec@1 52.000 (47.667)	Prec@5 81.500 (78.309)
Epoch: [41][550/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 1.8993 (2.0199)	Prec@1 46.500 (47.650)	Prec@5 82.000 (78.325)
Epoch: [41][560/9018]	Time 0.615 (0.620)	Data 0.001 (0.005)	Loss 1.9799 (2.0210)	Prec@1 48.500 (47.640)	Prec@5 78.500 (78.299)
Epoch: [41][570/9018]	Time 0.602 (0.619)	Data 0.001 (0.005)	Loss 2.0729 (2.0200)	Prec@1 48.500 (47.666)	Prec@5 75.500 (78.313)
Epoch: [41][580/9018]	Time 0.627 (0.619)	Data 0.001 (0.005)	Loss 2.0571 (2.0204)	Prec@1 43.500 (47.627)	Prec@5 79.000 (78.305)
Epoch: [41][590/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 1.9898 (2.0206)	Prec@1 44.500 (47.627)	Prec@5 76.000 (78.296)
Epoch: [41][600/9018]	Time 0.604 (0.619)	Data 0.001 (0.005)	Loss 2.0123 (2.0213)	Prec@1 48.500 (47.628)	Prec@5 79.000 (78.275)
Epoch: [41][610/9018]	Time 0.627 (0.619)	Data 0.001 (0.005)	Loss 2.0571 (2.0215)	Prec@1 51.000 (47.630)	Prec@5 73.000 (78.263)
Epoch: [41][620/9018]	Time 0.601 (0.619)	Data 0.001 (0.004)	Loss 2.0604 (2.0220)	Prec@1 48.000 (47.631)	Prec@5 77.000 (78.254)
Epoch: [41][630/9018]	Time 0.595 (0.619)	Data 0.001 (0.004)	Loss 2.0550 (2.0225)	Prec@1 44.500 (47.631)	Prec@5 79.000 (78.242)
Epoch: [41][640/9018]	Time 0.633 (0.619)	Data 0.001 (0.004)	Loss 1.8893 (2.0220)	Prec@1 54.000 (47.648)	Prec@5 80.500 (78.247)
Epoch: [41][650/9018]	Time 0.593 (0.619)	Data 0.001 (0.004)	Loss 1.9591 (2.0234)	Prec@1 49.000 (47.630)	Prec@5 79.500 (78.221)
Epoch: [41][660/9018]	Time 0.599 (0.619)	Data 0.001 (0.004)	Loss 1.9895 (2.0226)	Prec@1 48.000 (47.660)	Prec@5 81.000 (78.220)
Epoch: [41][670/9018]	Time 0.591 (0.619)	Data 0.001 (0.004)	Loss 1.9727 (2.0220)	Prec@1 48.500 (47.670)	Prec@5 77.500 (78.221)
Epoch: [41][680/9018]	Time 0.605 (0.619)	Data 0.001 (0.004)	Loss 1.9600 (2.0217)	Prec@1 50.500 (47.686)	Prec@5 75.500 (78.217)
Epoch: [41][690/9018]	Time 0.609 (0.619)	Data 0.001 (0.004)	Loss 1.7589 (2.0212)	Prec@1 55.000 (47.698)	Prec@5 81.500 (78.226)
Epoch: [41][700/9018]	Time 0.637 (0.619)	Data 0.001 (0.004)	Loss 1.9797 (2.0214)	Prec@1 49.500 (47.698)	Prec@5 76.000 (78.213)
Epoch: [41][710/9018]	Time 0.597 (0.619)	Data 0.001 (0.004)	Loss 2.1221 (2.0218)	Prec@1 49.000 (47.684)	Prec@5 76.500 (78.201)
Epoch: [41][720/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 1.8457 (2.0216)	Prec@1 55.500 (47.704)	Prec@5 79.500 (78.203)
Epoch: [41][730/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 1.9973 (2.0217)	Prec@1 49.000 (47.705)	Prec@5 76.500 (78.196)
Epoch: [41][740/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 2.1386 (2.0227)	Prec@1 43.500 (47.677)	Prec@5 78.000 (78.187)
Epoch: [41][750/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 1.9746 (2.0215)	Prec@1 46.500 (47.701)	Prec@5 79.000 (78.206)
Epoch: [41][760/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 2.0686 (2.0214)	Prec@1 47.500 (47.712)	Prec@5 77.500 (78.204)
Epoch: [41][770/9018]	Time 0.632 (0.618)	Data 0.001 (0.004)	Loss 2.3520 (2.0213)	Prec@1 44.000 (47.709)	Prec@5 72.500 (78.195)
Epoch: [41][780/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 2.1076 (2.0214)	Prec@1 49.000 (47.711)	Prec@5 77.500 (78.193)
Epoch: [41][790/9018]	Time 0.607 (0.618)	Data 0.001 (0.004)	Loss 2.1713 (2.0215)	Prec@1 43.500 (47.716)	Prec@5 75.500 (78.185)
Epoch: [41][800/9018]	Time 0.621 (0.618)	Data 0.001 (0.004)	Loss 2.1344 (2.0214)	Prec@1 48.500 (47.708)	Prec@5 74.000 (78.187)
Epoch: [41][810/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 1.9331 (2.0214)	Prec@1 47.000 (47.695)	Prec@5 78.500 (78.195)
Epoch: [41][820/9018]	Time 0.738 (0.618)	Data 0.001 (0.004)	Loss 1.8219 (2.0209)	Prec@1 55.500 (47.714)	Prec@5 82.500 (78.203)
Epoch: [41][830/9018]	Time 0.591 (0.618)	Data 0.001 (0.004)	Loss 1.7649 (2.0208)	Prec@1 51.000 (47.717)	Prec@5 84.500 (78.211)
Epoch: [41][840/9018]	Time 0.629 (0.618)	Data 0.001 (0.004)	Loss 2.1461 (2.0208)	Prec@1 43.500 (47.725)	Prec@5 75.500 (78.215)
Epoch: [41][850/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 2.0244 (2.0208)	Prec@1 47.000 (47.743)	Prec@5 80.000 (78.223)
Epoch: [41][860/9018]	Time 0.625 (0.618)	Data 0.001 (0.003)	Loss 1.9689 (2.0208)	Prec@1 49.000 (47.742)	Prec@5 79.500 (78.226)
Epoch: [41][870/9018]	Time 0.724 (0.618)	Data 0.001 (0.003)	Loss 1.9000 (2.0208)	Prec@1 50.000 (47.757)	Prec@5 80.000 (78.229)
Epoch: [41][880/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.9869 (2.0207)	Prec@1 45.500 (47.755)	Prec@5 78.500 (78.237)
Epoch: [41][890/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 2.1214 (2.0212)	Prec@1 47.000 (47.753)	Prec@5 76.500 (78.227)
Epoch: [41][900/9018]	Time 0.610 (0.618)	Data 0.001 (0.003)	Loss 2.0573 (2.0211)	Prec@1 45.500 (47.775)	Prec@5 79.000 (78.228)
Epoch: [41][910/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.7179 (2.0219)	Prec@1 55.000 (47.740)	Prec@5 81.500 (78.207)
Epoch: [41][920/9018]	Time 0.621 (0.618)	Data 0.001 (0.003)	Loss 1.9654 (2.0220)	Prec@1 50.000 (47.745)	Prec@5 80.000 (78.216)
Epoch: [41][930/9018]	Time 0.592 (0.618)	Data 0.001 (0.003)	Loss 2.0064 (2.0225)	Prec@1 49.000 (47.737)	Prec@5 80.500 (78.219)
Epoch: [41][940/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.9794 (2.0225)	Prec@1 47.000 (47.722)	Prec@5 79.500 (78.223)
Epoch: [41][950/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 1.9216 (2.0224)	Prec@1 48.500 (47.728)	Prec@5 82.000 (78.243)
Epoch: [41][960/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.1161 (2.0225)	Prec@1 47.000 (47.723)	Prec@5 78.500 (78.240)
Epoch: [41][970/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.0488 (2.0224)	Prec@1 50.500 (47.733)	Prec@5 75.500 (78.233)
Epoch: [41][980/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 1.9618 (2.0222)	Prec@1 51.000 (47.729)	Prec@5 80.000 (78.232)
Epoch: [41][990/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 1.9323 (2.0220)	Prec@1 49.500 (47.737)	Prec@5 80.500 (78.230)
Epoch: [41][1000/9018]	Time 0.631 (0.617)	Data 0.001 (0.003)	Loss 1.7482 (2.0212)	Prec@1 49.500 (47.748)	Prec@5 84.000 (78.250)
Epoch: [41][1010/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.0975 (2.0217)	Prec@1 41.000 (47.726)	Prec@5 78.500 (78.248)
Epoch: [41][1020/9018]	Time 0.634 (0.617)	Data 0.001 (0.003)	Loss 2.1969 (2.0225)	Prec@1 44.000 (47.718)	Prec@5 75.000 (78.228)
Epoch: [41][1030/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.0490 (2.0228)	Prec@1 46.000 (47.710)	Prec@5 79.500 (78.222)
Epoch: [41][1040/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.0385 (2.0234)	Prec@1 48.500 (47.697)	Prec@5 77.500 (78.216)
Epoch: [41][1050/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.2910 (2.0232)	Prec@1 43.000 (47.705)	Prec@5 77.000 (78.219)
Epoch: [41][1060/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 1.8867 (2.0229)	Prec@1 46.500 (47.704)	Prec@5 84.500 (78.233)
Epoch: [41][1070/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.0237 (2.0234)	Prec@1 49.000 (47.692)	Prec@5 81.000 (78.231)
Epoch: [41][1080/9018]	Time 0.637 (0.617)	Data 0.001 (0.003)	Loss 1.9303 (2.0229)	Prec@1 52.500 (47.706)	Prec@5 78.500 (78.244)
Epoch: [41][1090/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 1.9750 (2.0230)	Prec@1 48.000 (47.703)	Prec@5 79.500 (78.239)
Epoch: [41][1100/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 2.0802 (2.0237)	Prec@1 41.000 (47.677)	Prec@5 75.500 (78.227)
Epoch: [41][1110/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.1341 (2.0242)	Prec@1 43.000 (47.658)	Prec@5 78.000 (78.225)
Epoch: [41][1120/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.2488 (2.0244)	Prec@1 45.000 (47.671)	Prec@5 74.000 (78.222)
Epoch: [41][1130/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.1780 (2.0246)	Prec@1 43.500 (47.674)	Prec@5 75.000 (78.215)
Epoch: [41][1140/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.2426 (2.0255)	Prec@1 39.000 (47.650)	Prec@5 75.000 (78.205)
Epoch: [41][1150/9018]	Time 0.717 (0.617)	Data 0.001 (0.003)	Loss 1.9570 (2.0260)	Prec@1 49.000 (47.643)	Prec@5 78.500 (78.195)
Epoch: [41][1160/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.0085 (2.0261)	Prec@1 48.000 (47.637)	Prec@5 80.000 (78.205)
Epoch: [41][1170/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.9919 (2.0264)	Prec@1 47.000 (47.623)	Prec@5 79.000 (78.210)
Epoch: [41][1180/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 2.0112 (2.0265)	Prec@1 46.000 (47.620)	Prec@5 81.500 (78.207)
Epoch: [41][1190/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.0308 (2.0272)	Prec@1 46.500 (47.602)	Prec@5 78.500 (78.184)
Epoch: [41][1200/9018]	Time 0.735 (0.617)	Data 0.001 (0.003)	Loss 2.1774 (2.0272)	Prec@1 43.000 (47.601)	Prec@5 82.000 (78.193)
Epoch: [41][1210/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 2.0010 (2.0270)	Prec@1 50.000 (47.612)	Prec@5 78.000 (78.199)
Epoch: [41][1220/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.8517 (2.0273)	Prec@1 54.500 (47.614)	Prec@5 80.000 (78.190)
Epoch: [41][1230/9018]	Time 0.620 (0.617)	Data 0.001 (0.003)	Loss 2.1430 (2.0276)	Prec@1 42.000 (47.600)	Prec@5 77.000 (78.185)
Epoch: [41][1240/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 1.8003 (2.0275)	Prec@1 55.500 (47.607)	Prec@5 80.000 (78.185)
Epoch: [41][1250/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.0635 (2.0272)	Prec@1 46.000 (47.610)	Prec@5 82.000 (78.201)
Epoch: [41][1260/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.0349 (2.0268)	Prec@1 47.500 (47.628)	Prec@5 76.500 (78.198)
Epoch: [41][1270/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.6907 (2.0268)	Prec@1 52.500 (47.626)	Prec@5 83.000 (78.193)
Epoch: [41][1280/9018]	Time 0.622 (0.617)	Data 0.001 (0.003)	Loss 1.9095 (2.0269)	Prec@1 53.500 (47.626)	Prec@5 78.500 (78.192)
Epoch: [41][1290/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 2.1892 (2.0274)	Prec@1 45.500 (47.626)	Prec@5 78.000 (78.189)
Epoch: [41][1300/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 2.3701 (2.0272)	Prec@1 43.500 (47.623)	Prec@5 70.500 (78.193)
Epoch: [41][1310/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 2.0571 (2.0271)	Prec@1 42.500 (47.618)	Prec@5 77.500 (78.194)
Epoch: [41][1320/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 1.9281 (2.0271)	Prec@1 48.000 (47.617)	Prec@5 80.500 (78.195)
Epoch: [41][1330/9018]	Time 0.609 (0.617)	Data 0.001 (0.002)	Loss 2.1413 (2.0270)	Prec@1 43.000 (47.621)	Prec@5 77.000 (78.204)
Epoch: [41][1340/9018]	Time 0.635 (0.617)	Data 0.001 (0.002)	Loss 2.0149 (2.0267)	Prec@1 47.000 (47.642)	Prec@5 77.500 (78.209)
Epoch: [41][1350/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.0555 (2.0271)	Prec@1 49.500 (47.636)	Prec@5 80.000 (78.204)
Epoch: [41][1360/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 1.9818 (2.0270)	Prec@1 50.500 (47.643)	Prec@5 77.000 (78.206)
Epoch: [41][1370/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.1829 (2.0274)	Prec@1 45.500 (47.633)	Prec@5 76.500 (78.196)
Epoch: [41][1380/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 1.9789 (2.0274)	Prec@1 51.500 (47.631)	Prec@5 77.500 (78.191)
Epoch: [41][1390/9018]	Time 0.630 (0.617)	Data 0.001 (0.002)	Loss 2.1001 (2.0279)	Prec@1 45.500 (47.620)	Prec@5 79.500 (78.186)
Epoch: [41][1400/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.0902 (2.0280)	Prec@1 50.500 (47.618)	Prec@5 75.000 (78.182)
Epoch: [41][1410/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.0025 (2.0275)	Prec@1 54.500 (47.626)	Prec@5 78.500 (78.186)
Epoch: [41][1420/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.2697 (2.0273)	Prec@1 44.500 (47.630)	Prec@5 69.500 (78.189)
Epoch: [41][1430/9018]	Time 0.622 (0.617)	Data 0.001 (0.002)	Loss 2.1796 (2.0275)	Prec@1 44.000 (47.626)	Prec@5 76.500 (78.189)
Epoch: [41][1440/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.0591 (2.0274)	Prec@1 48.000 (47.631)	Prec@5 78.500 (78.189)
Epoch: [41][1450/9018]	Time 0.588 (0.617)	Data 0.001 (0.002)	Loss 2.0673 (2.0274)	Prec@1 48.500 (47.634)	Prec@5 76.000 (78.188)
Epoch: [41][1460/9018]	Time 0.634 (0.617)	Data 0.001 (0.002)	Loss 1.9357 (2.0269)	Prec@1 46.500 (47.643)	Prec@5 83.000 (78.193)
Epoch: [41][1470/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.1815 (2.0273)	Prec@1 44.000 (47.633)	Prec@5 78.000 (78.188)
Epoch: [41][1480/9018]	Time 0.750 (0.617)	Data 0.001 (0.002)	Loss 2.0216 (2.0267)	Prec@1 46.500 (47.648)	Prec@5 76.500 (78.199)
Epoch: [41][1490/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.2271 (2.0264)	Prec@1 40.500 (47.651)	Prec@5 76.000 (78.193)
Epoch: [41][1500/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.8526 (2.0265)	Prec@1 51.000 (47.650)	Prec@5 82.000 (78.194)
Epoch: [41][1510/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.0362 (2.0269)	Prec@1 48.500 (47.639)	Prec@5 75.000 (78.178)
Epoch: [41][1520/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.8551 (2.0267)	Prec@1 49.000 (47.637)	Prec@5 80.500 (78.182)
Epoch: [41][1530/9018]	Time 0.778 (0.617)	Data 0.001 (0.002)	Loss 1.8354 (2.0266)	Prec@1 54.500 (47.637)	Prec@5 79.000 (78.190)
Epoch: [41][1540/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.1396 (2.0273)	Prec@1 46.000 (47.626)	Prec@5 76.000 (78.177)
Epoch: [41][1550/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 2.0853 (2.0274)	Prec@1 43.500 (47.623)	Prec@5 75.000 (78.167)
Epoch: [41][1560/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0052 (2.0271)	Prec@1 45.500 (47.621)	Prec@5 76.500 (78.171)
Epoch: [41][1570/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 1.8940 (2.0270)	Prec@1 56.000 (47.620)	Prec@5 80.500 (78.172)
Epoch: [41][1580/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.1224 (2.0268)	Prec@1 42.000 (47.623)	Prec@5 74.000 (78.176)
Epoch: [41][1590/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.9356 (2.0269)	Prec@1 48.500 (47.623)	Prec@5 78.500 (78.174)
Epoch: [41][1600/9018]	Time 0.588 (0.616)	Data 0.001 (0.002)	Loss 1.9321 (2.0270)	Prec@1 47.000 (47.622)	Prec@5 80.000 (78.167)
Epoch: [41][1610/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.9499 (2.0270)	Prec@1 50.000 (47.624)	Prec@5 76.000 (78.164)
Epoch: [41][1620/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 1.9288 (2.0271)	Prec@1 47.000 (47.621)	Prec@5 81.500 (78.164)
Epoch: [41][1630/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 1.9631 (2.0272)	Prec@1 44.500 (47.621)	Prec@5 80.500 (78.164)
Epoch: [41][1640/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9413 (2.0269)	Prec@1 50.500 (47.621)	Prec@5 79.500 (78.165)
Epoch: [41][1650/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.2255 (2.0274)	Prec@1 47.000 (47.626)	Prec@5 71.500 (78.153)
Epoch: [41][1660/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.0408 (2.0280)	Prec@1 45.000 (47.607)	Prec@5 79.000 (78.139)
Epoch: [41][1670/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.9537 (2.0275)	Prec@1 51.500 (47.626)	Prec@5 78.500 (78.149)
Epoch: [41][1680/9018]	Time 0.639 (0.616)	Data 0.001 (0.002)	Loss 2.0019 (2.0277)	Prec@1 49.500 (47.627)	Prec@5 81.500 (78.146)
Epoch: [41][1690/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.1242 (2.0279)	Prec@1 46.000 (47.627)	Prec@5 75.500 (78.142)
Epoch: [41][1700/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 1.9384 (2.0277)	Prec@1 46.500 (47.637)	Prec@5 79.500 (78.141)
Epoch: [41][1710/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9857 (2.0276)	Prec@1 48.000 (47.646)	Prec@5 79.000 (78.146)
Epoch: [41][1720/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 1.9780 (2.0281)	Prec@1 49.000 (47.642)	Prec@5 79.000 (78.133)
Epoch: [41][1730/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.1558 (2.0282)	Prec@1 43.000 (47.645)	Prec@5 79.500 (78.133)
Epoch: [41][1740/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.2677 (2.0285)	Prec@1 42.500 (47.640)	Prec@5 70.000 (78.126)
Epoch: [41][1750/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1180 (2.0283)	Prec@1 46.500 (47.647)	Prec@5 77.000 (78.134)
Epoch: [41][1760/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.8781 (2.0282)	Prec@1 54.500 (47.651)	Prec@5 83.500 (78.137)
Epoch: [41][1770/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.8556 (2.0281)	Prec@1 52.000 (47.648)	Prec@5 80.000 (78.142)
Epoch: [41][1780/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.0688 (2.0280)	Prec@1 45.500 (47.640)	Prec@5 78.000 (78.145)
Epoch: [41][1790/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.9875 (2.0278)	Prec@1 49.000 (47.641)	Prec@5 80.000 (78.147)
Epoch: [41][1800/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 1.9649 (2.0277)	Prec@1 48.500 (47.644)	Prec@5 79.000 (78.148)
Epoch: [41][1810/9018]	Time 0.745 (0.617)	Data 0.001 (0.002)	Loss 2.0736 (2.0275)	Prec@1 46.000 (47.650)	Prec@5 76.500 (78.155)
Epoch: [41][1820/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.7526 (2.0277)	Prec@1 54.000 (47.655)	Prec@5 83.000 (78.151)
Epoch: [41][1830/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.0244 (2.0284)	Prec@1 49.000 (47.647)	Prec@5 79.000 (78.131)
Epoch: [41][1840/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.0758 (2.0284)	Prec@1 41.500 (47.645)	Prec@5 78.000 (78.136)
Epoch: [41][1850/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.2329 (2.0293)	Prec@1 41.500 (47.630)	Prec@5 71.500 (78.116)
Epoch: [41][1860/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 1.8903 (2.0292)	Prec@1 49.500 (47.636)	Prec@5 82.000 (78.110)
Epoch: [41][1870/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.2036 (2.0291)	Prec@1 39.000 (47.635)	Prec@5 76.000 (78.109)
Epoch: [41][1880/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0068 (2.0299)	Prec@1 48.000 (47.613)	Prec@5 80.500 (78.096)
Epoch: [41][1890/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 1.9466 (2.0298)	Prec@1 49.500 (47.621)	Prec@5 80.500 (78.097)
Epoch: [41][1900/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.1157 (2.0301)	Prec@1 47.500 (47.616)	Prec@5 77.000 (78.088)
Epoch: [41][1910/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9915 (2.0297)	Prec@1 46.500 (47.622)	Prec@5 81.000 (78.091)
Epoch: [41][1920/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.0670 (2.0299)	Prec@1 45.000 (47.613)	Prec@5 77.500 (78.091)
Epoch: [41][1930/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.0764 (2.0301)	Prec@1 49.500 (47.611)	Prec@5 74.500 (78.084)
Epoch: [41][1940/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.2532 (2.0302)	Prec@1 42.000 (47.608)	Prec@5 72.500 (78.083)
Epoch: [41][1950/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.1060 (2.0305)	Prec@1 49.500 (47.598)	Prec@5 74.000 (78.078)
Epoch: [41][1960/9018]	Time 0.657 (0.616)	Data 0.001 (0.002)	Loss 1.9280 (2.0305)	Prec@1 47.000 (47.595)	Prec@5 83.500 (78.082)
Epoch: [41][1970/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.9640 (2.0305)	Prec@1 46.000 (47.596)	Prec@5 79.500 (78.084)
Epoch: [41][1980/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.8791 (2.0306)	Prec@1 50.500 (47.596)	Prec@5 80.500 (78.082)
Epoch: [41][1990/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.0317 (2.0308)	Prec@1 48.000 (47.597)	Prec@5 78.000 (78.080)
Epoch: [41][2000/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.1539 (2.0309)	Prec@1 42.000 (47.590)	Prec@5 75.500 (78.080)
Epoch: [41][2010/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.9897 (2.0312)	Prec@1 47.000 (47.592)	Prec@5 77.500 (78.072)
Epoch: [41][2020/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1259 (2.0313)	Prec@1 43.500 (47.591)	Prec@5 78.000 (78.072)
Epoch: [41][2030/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.0349 (2.0313)	Prec@1 46.000 (47.591)	Prec@5 80.000 (78.079)
Epoch: [41][2040/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8866 (2.0316)	Prec@1 51.000 (47.591)	Prec@5 81.000 (78.069)
Epoch: [41][2050/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.0301 (2.0311)	Prec@1 46.000 (47.602)	Prec@5 76.000 (78.078)
Epoch: [41][2060/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.0173 (2.0312)	Prec@1 48.000 (47.601)	Prec@5 78.000 (78.076)
Epoch: [41][2070/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.1097 (2.0310)	Prec@1 48.000 (47.607)	Prec@5 79.000 (78.088)
Epoch: [41][2080/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.9964 (2.0311)	Prec@1 46.000 (47.613)	Prec@5 81.000 (78.082)
Epoch: [41][2090/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.9872 (2.0310)	Prec@1 47.500 (47.611)	Prec@5 81.000 (78.084)
Epoch: [41][2100/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.0227 (2.0311)	Prec@1 49.000 (47.611)	Prec@5 79.500 (78.087)
Epoch: [41][2110/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1125 (2.0313)	Prec@1 43.500 (47.606)	Prec@5 73.500 (78.085)
Epoch: [41][2120/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8966 (2.0310)	Prec@1 49.500 (47.610)	Prec@5 79.500 (78.094)
Epoch: [41][2130/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.9855 (2.0308)	Prec@1 47.500 (47.617)	Prec@5 79.000 (78.088)
Epoch: [41][2140/9018]	Time 0.722 (0.616)	Data 0.001 (0.002)	Loss 2.2055 (2.0308)	Prec@1 41.500 (47.616)	Prec@5 76.000 (78.086)
Epoch: [41][2150/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 2.0150 (2.0306)	Prec@1 46.000 (47.621)	Prec@5 77.500 (78.087)
Epoch: [41][2160/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.8371 (2.0303)	Prec@1 52.000 (47.624)	Prec@5 79.500 (78.094)
Epoch: [41][2170/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.1075 (2.0303)	Prec@1 47.500 (47.630)	Prec@5 77.000 (78.094)
Epoch: [41][2180/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.0307 (2.0302)	Prec@1 45.000 (47.633)	Prec@5 78.500 (78.094)
Epoch: [41][2190/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 2.1559 (2.0306)	Prec@1 45.500 (47.621)	Prec@5 76.000 (78.087)
Epoch: [41][2200/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.1449 (2.0303)	Prec@1 47.500 (47.627)	Prec@5 74.000 (78.095)
Epoch: [41][2210/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.0074 (2.0304)	Prec@1 49.500 (47.625)	Prec@5 77.000 (78.091)
Epoch: [41][2220/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0279 (2.0306)	Prec@1 45.000 (47.621)	Prec@5 79.000 (78.092)
Epoch: [41][2230/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.1208 (2.0305)	Prec@1 48.000 (47.628)	Prec@5 81.000 (78.096)
Epoch: [41][2240/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9797 (2.0306)	Prec@1 48.500 (47.623)	Prec@5 81.000 (78.099)
Epoch: [41][2250/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.0133 (2.0306)	Prec@1 45.000 (47.624)	Prec@5 80.500 (78.103)
Epoch: [41][2260/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1584 (2.0308)	Prec@1 41.500 (47.624)	Prec@5 78.000 (78.098)
Epoch: [41][2270/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.0152 (2.0309)	Prec@1 48.000 (47.625)	Prec@5 81.000 (78.099)
Epoch: [41][2280/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0464 (2.0307)	Prec@1 47.500 (47.625)	Prec@5 77.500 (78.103)
Epoch: [41][2290/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.8116 (2.0303)	Prec@1 50.500 (47.631)	Prec@5 80.000 (78.107)
Epoch: [41][2300/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 1.9142 (2.0305)	Prec@1 49.500 (47.623)	Prec@5 82.000 (78.105)
Epoch: [41][2310/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.3223 (2.0306)	Prec@1 37.000 (47.616)	Prec@5 75.500 (78.107)
Epoch: [41][2320/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.1780 (2.0309)	Prec@1 45.500 (47.607)	Prec@5 74.500 (78.103)
Epoch: [41][2330/9018]	Time 0.640 (0.616)	Data 0.001 (0.002)	Loss 1.8583 (2.0309)	Prec@1 53.500 (47.609)	Prec@5 80.000 (78.105)
Epoch: [41][2340/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9455 (2.0307)	Prec@1 51.000 (47.611)	Prec@5 79.500 (78.107)
Epoch: [41][2350/9018]	Time 0.637 (0.616)	Data 0.001 (0.002)	Loss 1.7859 (2.0306)	Prec@1 49.500 (47.618)	Prec@5 84.500 (78.109)
Epoch: [41][2360/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.1058 (2.0304)	Prec@1 41.500 (47.621)	Prec@5 77.000 (78.108)
Epoch: [41][2370/9018]	Time 0.588 (0.616)	Data 0.001 (0.002)	Loss 2.1910 (2.0305)	Prec@1 45.500 (47.622)	Prec@5 74.500 (78.109)
Epoch: [41][2380/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.0754 (2.0307)	Prec@1 47.000 (47.614)	Prec@5 77.000 (78.103)
Epoch: [41][2390/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.3038 (2.0308)	Prec@1 40.500 (47.614)	Prec@5 74.000 (78.100)
Epoch: [41][2400/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.1073 (2.0307)	Prec@1 45.000 (47.612)	Prec@5 77.000 (78.100)
Epoch: [41][2410/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.9834 (2.0307)	Prec@1 52.000 (47.613)	Prec@5 77.500 (78.100)
Epoch: [41][2420/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.0273 (2.0311)	Prec@1 49.000 (47.606)	Prec@5 75.500 (78.089)
Epoch: [41][2430/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 1.8302 (2.0313)	Prec@1 50.000 (47.598)	Prec@5 80.000 (78.086)
Epoch: [41][2440/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0265 (2.0315)	Prec@1 46.000 (47.591)	Prec@5 77.000 (78.082)
Epoch: [41][2450/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.1264 (2.0319)	Prec@1 44.500 (47.584)	Prec@5 78.500 (78.075)
Epoch: [41][2460/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0662 (2.0320)	Prec@1 48.500 (47.585)	Prec@5 79.000 (78.074)
Epoch: [41][2470/9018]	Time 0.722 (0.616)	Data 0.001 (0.002)	Loss 2.0677 (2.0319)	Prec@1 50.500 (47.593)	Prec@5 75.500 (78.078)
Epoch: [41][2480/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.1426 (2.0321)	Prec@1 44.500 (47.583)	Prec@5 75.500 (78.074)
Epoch: [41][2490/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9197 (2.0320)	Prec@1 47.000 (47.585)	Prec@5 82.000 (78.079)
Epoch: [41][2500/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.2102 (2.0320)	Prec@1 41.000 (47.585)	Prec@5 78.000 (78.082)
Epoch: [41][2510/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.2120 (2.0319)	Prec@1 42.000 (47.584)	Prec@5 76.000 (78.085)
Epoch: [41][2520/9018]	Time 0.744 (0.616)	Data 0.001 (0.002)	Loss 1.9387 (2.0319)	Prec@1 52.000 (47.587)	Prec@5 78.000 (78.087)
Epoch: [41][2530/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 1.9358 (2.0321)	Prec@1 51.000 (47.584)	Prec@5 78.500 (78.084)
Epoch: [41][2540/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0077 (2.0322)	Prec@1 48.000 (47.580)	Prec@5 79.000 (78.083)
Epoch: [41][2550/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.2343 (2.0321)	Prec@1 45.000 (47.583)	Prec@5 73.500 (78.085)
Epoch: [41][2560/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.3611 (2.0325)	Prec@1 39.500 (47.576)	Prec@5 70.000 (78.081)
Epoch: [41][2570/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1574 (2.0327)	Prec@1 47.000 (47.571)	Prec@5 76.500 (78.078)
Epoch: [41][2580/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.3861 (2.0327)	Prec@1 37.500 (47.571)	Prec@5 70.500 (78.080)
Epoch: [41][2590/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0536 (2.0328)	Prec@1 47.000 (47.571)	Prec@5 77.500 (78.078)
Epoch: [41][2600/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.0835 (2.0328)	Prec@1 50.000 (47.570)	Prec@5 76.000 (78.073)
Epoch: [41][2610/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.4280 (2.0331)	Prec@1 42.000 (47.570)	Prec@5 72.500 (78.069)
Epoch: [41][2620/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 1.7910 (2.0331)	Prec@1 53.500 (47.568)	Prec@5 82.500 (78.067)
Epoch: [41][2630/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.7882 (2.0332)	Prec@1 52.000 (47.564)	Prec@5 85.500 (78.069)
Epoch: [41][2640/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.9723 (2.0333)	Prec@1 50.000 (47.568)	Prec@5 78.000 (78.068)
Epoch: [41][2650/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.7685 (2.0333)	Prec@1 53.000 (47.565)	Prec@5 81.500 (78.071)
Epoch: [41][2660/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.0127 (2.0334)	Prec@1 48.500 (47.563)	Prec@5 78.000 (78.073)
Epoch: [41][2670/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.9930 (2.0335)	Prec@1 49.000 (47.559)	Prec@5 78.000 (78.070)
Epoch: [41][2680/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 1.5979 (2.0334)	Prec@1 55.500 (47.558)	Prec@5 85.500 (78.070)
Epoch: [41][2690/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9937 (2.0332)	Prec@1 47.500 (47.562)	Prec@5 76.500 (78.068)
Epoch: [41][2700/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9853 (2.0332)	Prec@1 50.000 (47.561)	Prec@5 78.500 (78.068)
Epoch: [41][2710/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.1831 (2.0335)	Prec@1 45.500 (47.557)	Prec@5 74.500 (78.062)
Epoch: [41][2720/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1185 (2.0338)	Prec@1 43.500 (47.551)	Prec@5 75.500 (78.059)
Epoch: [41][2730/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.1971 (2.0340)	Prec@1 43.000 (47.549)	Prec@5 76.500 (78.056)
Epoch: [41][2740/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.0512 (2.0340)	Prec@1 47.000 (47.548)	Prec@5 74.000 (78.054)
Epoch: [41][2750/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 1.8358 (2.0338)	Prec@1 51.500 (47.553)	Prec@5 83.000 (78.061)
Epoch: [41][2760/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.7541 (2.0336)	Prec@1 54.500 (47.555)	Prec@5 85.500 (78.062)
Epoch: [41][2770/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 1.9855 (2.0338)	Prec@1 50.500 (47.550)	Prec@5 77.500 (78.055)
Epoch: [41][2780/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0351 (2.0340)	Prec@1 45.500 (47.551)	Prec@5 79.000 (78.052)
Epoch: [41][2790/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.9173 (2.0339)	Prec@1 50.500 (47.554)	Prec@5 81.000 (78.051)
Epoch: [41][2800/9018]	Time 0.730 (0.616)	Data 0.001 (0.002)	Loss 2.0221 (2.0339)	Prec@1 47.500 (47.554)	Prec@5 79.000 (78.052)
Epoch: [41][2810/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 1.9092 (2.0336)	Prec@1 47.000 (47.559)	Prec@5 85.000 (78.057)
Epoch: [41][2820/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.1337 (2.0338)	Prec@1 43.500 (47.551)	Prec@5 75.000 (78.054)
Epoch: [41][2830/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.0819 (2.0339)	Prec@1 46.000 (47.543)	Prec@5 76.000 (78.054)
Epoch: [41][2840/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 1.8225 (2.0338)	Prec@1 51.500 (47.544)	Prec@5 79.500 (78.053)
Epoch: [41][2850/9018]	Time 0.720 (0.616)	Data 0.001 (0.002)	Loss 1.5980 (2.0337)	Prec@1 55.500 (47.547)	Prec@5 87.500 (78.056)
Epoch: [41][2860/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 1.8306 (2.0334)	Prec@1 49.000 (47.555)	Prec@5 82.500 (78.059)
Epoch: [41][2870/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.1278 (2.0335)	Prec@1 40.500 (47.556)	Prec@5 77.500 (78.057)
Epoch: [41][2880/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9860 (2.0333)	Prec@1 44.000 (47.556)	Prec@5 78.000 (78.061)
Epoch: [41][2890/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1945 (2.0335)	Prec@1 43.500 (47.557)	Prec@5 73.500 (78.056)
Epoch: [41][2900/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.2937 (2.0336)	Prec@1 40.000 (47.552)	Prec@5 76.000 (78.058)
Epoch: [41][2910/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0302 (2.0338)	Prec@1 49.500 (47.548)	Prec@5 77.500 (78.053)
Epoch: [41][2920/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.1899 (2.0341)	Prec@1 46.500 (47.542)	Prec@5 75.000 (78.045)
Epoch: [41][2930/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.2729 (2.0343)	Prec@1 45.000 (47.537)	Prec@5 72.500 (78.042)
Epoch: [41][2940/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.0271 (2.0343)	Prec@1 47.500 (47.540)	Prec@5 76.500 (78.042)
Epoch: [41][2950/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.3114 (2.0342)	Prec@1 43.000 (47.537)	Prec@5 71.500 (78.045)
Epoch: [41][2960/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.0020 (2.0344)	Prec@1 49.000 (47.534)	Prec@5 77.500 (78.039)
Epoch: [41][2970/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.0835 (2.0343)	Prec@1 46.500 (47.536)	Prec@5 76.000 (78.042)
Epoch: [41][2980/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.1566 (2.0346)	Prec@1 47.000 (47.533)	Prec@5 72.500 (78.035)
Epoch: [41][2990/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0906 (2.0346)	Prec@1 50.000 (47.533)	Prec@5 79.000 (78.036)
Epoch: [41][3000/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.8862 (2.0344)	Prec@1 54.000 (47.537)	Prec@5 79.500 (78.039)
Epoch: [41][3010/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.8463 (2.0348)	Prec@1 51.000 (47.528)	Prec@5 82.500 (78.031)
Epoch: [41][3020/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.1534 (2.0348)	Prec@1 44.500 (47.531)	Prec@5 79.000 (78.030)
Epoch: [41][3030/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.1245 (2.0349)	Prec@1 44.000 (47.528)	Prec@5 77.000 (78.030)
Epoch: [41][3040/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.8244 (2.0350)	Prec@1 53.000 (47.527)	Prec@5 83.000 (78.029)
Epoch: [41][3050/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0638 (2.0349)	Prec@1 47.000 (47.530)	Prec@5 75.000 (78.031)
Epoch: [41][3060/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0059 (2.0348)	Prec@1 49.500 (47.531)	Prec@5 77.000 (78.034)
Epoch: [41][3070/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.0091 (2.0346)	Prec@1 48.000 (47.535)	Prec@5 75.000 (78.039)
Epoch: [41][3080/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.0587 (2.0344)	Prec@1 43.500 (47.538)	Prec@5 78.000 (78.041)
Epoch: [41][3090/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.9115 (2.0347)	Prec@1 48.000 (47.532)	Prec@5 82.000 (78.038)
Epoch: [41][3100/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.1305 (2.0349)	Prec@1 43.500 (47.526)	Prec@5 73.000 (78.035)
Epoch: [41][3110/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 1.8446 (2.0347)	Prec@1 53.000 (47.525)	Prec@5 82.000 (78.036)
Epoch: [41][3120/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.1291 (2.0348)	Prec@1 43.500 (47.522)	Prec@5 77.500 (78.035)
Epoch: [41][3130/9018]	Time 0.721 (0.616)	Data 0.001 (0.001)	Loss 1.8835 (2.0349)	Prec@1 48.500 (47.523)	Prec@5 83.000 (78.035)
Epoch: [41][3140/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9492 (2.0349)	Prec@1 48.000 (47.522)	Prec@5 81.000 (78.032)
Epoch: [41][3150/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.0597 (2.0347)	Prec@1 47.000 (47.526)	Prec@5 79.500 (78.035)
Epoch: [41][3160/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0314 (2.0350)	Prec@1 52.000 (47.524)	Prec@5 74.500 (78.033)
Epoch: [41][3170/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.0846 (2.0350)	Prec@1 47.000 (47.525)	Prec@5 75.500 (78.036)
Epoch: [41][3180/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.1268 (2.0350)	Prec@1 45.000 (47.520)	Prec@5 79.000 (78.039)
Epoch: [41][3190/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1241 (2.0350)	Prec@1 48.500 (47.521)	Prec@5 75.000 (78.036)
Epoch: [41][3200/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.8191 (2.0348)	Prec@1 50.500 (47.524)	Prec@5 82.000 (78.038)
Epoch: [41][3210/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.1885 (2.0347)	Prec@1 42.500 (47.523)	Prec@5 79.500 (78.042)
Epoch: [41][3220/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0422 (2.0347)	Prec@1 46.000 (47.521)	Prec@5 76.000 (78.045)
Epoch: [41][3230/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 1.9554 (2.0347)	Prec@1 50.500 (47.523)	Prec@5 80.000 (78.045)
Epoch: [41][3240/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0166 (2.0347)	Prec@1 47.000 (47.523)	Prec@5 79.500 (78.047)
Epoch: [41][3250/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.2275 (2.0347)	Prec@1 45.000 (47.523)	Prec@5 74.500 (78.045)
Epoch: [41][3260/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.1912 (2.0349)	Prec@1 47.500 (47.521)	Prec@5 75.500 (78.038)
Epoch: [41][3270/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1692 (2.0350)	Prec@1 43.000 (47.519)	Prec@5 75.500 (78.038)
Epoch: [41][3280/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.0606 (2.0351)	Prec@1 50.500 (47.523)	Prec@5 77.500 (78.033)
Epoch: [41][3290/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.3686 (2.0353)	Prec@1 43.500 (47.521)	Prec@5 71.500 (78.030)
Epoch: [41][3300/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9169 (2.0352)	Prec@1 52.000 (47.524)	Prec@5 81.000 (78.031)
Epoch: [41][3310/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.0956 (2.0353)	Prec@1 43.500 (47.524)	Prec@5 77.500 (78.029)
Epoch: [41][3320/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 1.8991 (2.0352)	Prec@1 47.000 (47.522)	Prec@5 83.500 (78.030)
Epoch: [41][3330/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.0218 (2.0353)	Prec@1 47.500 (47.523)	Prec@5 76.500 (78.028)
Epoch: [41][3340/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0120 (2.0354)	Prec@1 48.000 (47.519)	Prec@5 73.500 (78.026)
Epoch: [41][3350/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 1.9108 (2.0354)	Prec@1 50.000 (47.519)	Prec@5 79.500 (78.024)
Epoch: [41][3360/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 1.9398 (2.0354)	Prec@1 50.500 (47.519)	Prec@5 80.000 (78.023)
Epoch: [41][3370/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.1711 (2.0353)	Prec@1 46.500 (47.520)	Prec@5 73.500 (78.024)
Epoch: [41][3380/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0636 (2.0354)	Prec@1 47.500 (47.522)	Prec@5 78.500 (78.023)
Epoch: [41][3390/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.2155 (2.0354)	Prec@1 44.500 (47.521)	Prec@5 73.000 (78.021)
Epoch: [41][3400/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.9401 (2.0354)	Prec@1 47.000 (47.521)	Prec@5 81.000 (78.024)
Epoch: [41][3410/9018]	Time 0.748 (0.616)	Data 0.001 (0.001)	Loss 1.9183 (2.0352)	Prec@1 52.000 (47.525)	Prec@5 76.000 (78.025)
Epoch: [41][3420/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.1372 (2.0353)	Prec@1 46.000 (47.524)	Prec@5 76.000 (78.023)
Epoch: [41][3430/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.2007 (2.0353)	Prec@1 41.500 (47.521)	Prec@5 77.000 (78.022)
Epoch: [41][3440/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.2323 (2.0355)	Prec@1 42.500 (47.517)	Prec@5 69.000 (78.016)
Epoch: [41][3450/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.8744 (2.0355)	Prec@1 50.000 (47.515)	Prec@5 83.000 (78.018)
Epoch: [41][3460/9018]	Time 0.740 (0.616)	Data 0.001 (0.001)	Loss 2.1166 (2.0356)	Prec@1 47.000 (47.513)	Prec@5 77.000 (78.013)
Epoch: [41][3470/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.9584 (2.0357)	Prec@1 51.000 (47.512)	Prec@5 78.500 (78.009)
Epoch: [41][3480/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1007 (2.0360)	Prec@1 47.500 (47.506)	Prec@5 74.500 (78.003)
Epoch: [41][3490/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.2436 (2.0361)	Prec@1 42.000 (47.509)	Prec@5 71.500 (78.003)
Epoch: [41][3500/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.2231 (2.0360)	Prec@1 42.500 (47.509)	Prec@5 75.500 (78.002)
Epoch: [41][3510/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.2622 (2.0360)	Prec@1 42.000 (47.508)	Prec@5 77.000 (78.004)
Epoch: [41][3520/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8457 (2.0361)	Prec@1 48.000 (47.502)	Prec@5 79.000 (78.004)
Epoch: [41][3530/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0606 (2.0362)	Prec@1 48.500 (47.500)	Prec@5 74.000 (78.004)
Epoch: [41][3540/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9532 (2.0361)	Prec@1 50.500 (47.502)	Prec@5 80.000 (78.004)
Epoch: [41][3550/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0132 (2.0362)	Prec@1 47.000 (47.501)	Prec@5 76.000 (78.001)
Epoch: [41][3560/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2145 (2.0363)	Prec@1 41.000 (47.502)	Prec@5 76.000 (77.996)
Epoch: [41][3570/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.0424 (2.0363)	Prec@1 46.000 (47.499)	Prec@5 81.000 (77.997)
Epoch: [41][3580/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.2269 (2.0362)	Prec@1 43.000 (47.501)	Prec@5 76.000 (77.999)
Epoch: [41][3590/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.8087 (2.0362)	Prec@1 49.000 (47.498)	Prec@5 81.500 (78.001)
Epoch: [41][3600/9018]	Time 0.647 (0.615)	Data 0.001 (0.001)	Loss 1.9408 (2.0361)	Prec@1 50.500 (47.502)	Prec@5 80.000 (78.006)
Epoch: [41][3610/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9801 (2.0361)	Prec@1 51.500 (47.503)	Prec@5 77.500 (78.003)
Epoch: [41][3620/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.0602 (2.0362)	Prec@1 47.000 (47.501)	Prec@5 77.500 (77.998)
Epoch: [41][3630/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.2926 (2.0364)	Prec@1 45.500 (47.497)	Prec@5 73.000 (77.995)
Epoch: [41][3640/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.3049 (2.0364)	Prec@1 44.500 (47.494)	Prec@5 74.500 (77.994)
Epoch: [41][3650/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0001 (2.0365)	Prec@1 46.000 (47.491)	Prec@5 80.500 (77.993)
Epoch: [41][3660/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1201 (2.0366)	Prec@1 44.000 (47.490)	Prec@5 77.000 (77.992)
Epoch: [41][3670/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0884 (2.0367)	Prec@1 40.500 (47.485)	Prec@5 79.000 (77.991)
Epoch: [41][3680/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1100 (2.0368)	Prec@1 42.500 (47.483)	Prec@5 76.500 (77.988)
Epoch: [41][3690/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2063 (2.0370)	Prec@1 44.500 (47.478)	Prec@5 75.000 (77.984)
Epoch: [41][3700/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1610 (2.0370)	Prec@1 45.000 (47.480)	Prec@5 75.500 (77.987)
Epoch: [41][3710/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.0712 (2.0369)	Prec@1 47.000 (47.482)	Prec@5 79.000 (77.987)
Epoch: [41][3720/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0218 (2.0372)	Prec@1 47.000 (47.472)	Prec@5 82.000 (77.984)
Epoch: [41][3730/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.0450 (2.0374)	Prec@1 51.500 (47.467)	Prec@5 74.500 (77.979)
Epoch: [41][3740/9018]	Time 0.770 (0.616)	Data 0.001 (0.001)	Loss 2.2089 (2.0375)	Prec@1 45.000 (47.467)	Prec@5 73.000 (77.975)
Epoch: [41][3750/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1540 (2.0376)	Prec@1 46.000 (47.470)	Prec@5 75.500 (77.973)
Epoch: [41][3760/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.0494 (2.0375)	Prec@1 46.500 (47.472)	Prec@5 79.000 (77.974)
Epoch: [41][3770/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.1078 (2.0375)	Prec@1 47.500 (47.470)	Prec@5 79.000 (77.974)
Epoch: [41][3780/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.2567 (2.0375)	Prec@1 42.000 (47.470)	Prec@5 79.000 (77.980)
Epoch: [41][3790/9018]	Time 0.721 (0.616)	Data 0.001 (0.001)	Loss 1.9258 (2.0376)	Prec@1 51.000 (47.468)	Prec@5 79.500 (77.979)
Epoch: [41][3800/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.9297 (2.0375)	Prec@1 50.500 (47.468)	Prec@5 78.000 (77.980)
Epoch: [41][3810/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.9813 (2.0374)	Prec@1 48.000 (47.471)	Prec@5 82.500 (77.984)
Epoch: [41][3820/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 1.9193 (2.0374)	Prec@1 53.000 (47.473)	Prec@5 81.500 (77.984)
Epoch: [41][3830/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9580 (2.0374)	Prec@1 45.500 (47.473)	Prec@5 79.000 (77.983)
Epoch: [41][3840/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.1846 (2.0375)	Prec@1 42.500 (47.471)	Prec@5 78.000 (77.984)
Epoch: [41][3850/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1243 (2.0376)	Prec@1 43.000 (47.467)	Prec@5 76.500 (77.980)
Epoch: [41][3860/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0922 (2.0378)	Prec@1 49.000 (47.464)	Prec@5 78.500 (77.974)
Epoch: [41][3870/9018]	Time 0.623 (0.616)	Data 0.002 (0.001)	Loss 1.8792 (2.0379)	Prec@1 51.000 (47.462)	Prec@5 81.500 (77.975)
Epoch: [41][3880/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1875 (2.0380)	Prec@1 43.000 (47.457)	Prec@5 72.500 (77.973)
Epoch: [41][3890/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.0184 (2.0381)	Prec@1 49.500 (47.457)	Prec@5 78.500 (77.968)
Epoch: [41][3900/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 1.9651 (2.0381)	Prec@1 48.500 (47.457)	Prec@5 80.500 (77.968)
Epoch: [41][3910/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1873 (2.0381)	Prec@1 43.000 (47.457)	Prec@5 75.000 (77.966)
Epoch: [41][3920/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.0588 (2.0381)	Prec@1 47.500 (47.457)	Prec@5 79.500 (77.966)
Epoch: [41][3930/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 1.9446 (2.0381)	Prec@1 49.500 (47.454)	Prec@5 82.500 (77.963)
Epoch: [41][3940/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.0729 (2.0382)	Prec@1 46.500 (47.452)	Prec@5 77.500 (77.961)
Epoch: [41][3950/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1352 (2.0383)	Prec@1 44.000 (47.452)	Prec@5 75.000 (77.958)
Epoch: [41][3960/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.0382 (2.0384)	Prec@1 48.000 (47.451)	Prec@5 79.000 (77.956)
Epoch: [41][3970/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.1634 (2.0384)	Prec@1 47.500 (47.447)	Prec@5 77.000 (77.958)
Epoch: [41][3980/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1079 (2.0384)	Prec@1 42.000 (47.447)	Prec@5 77.500 (77.957)
Epoch: [41][3990/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 1.9096 (2.0386)	Prec@1 50.500 (47.442)	Prec@5 77.000 (77.950)
Epoch: [41][4000/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.9187 (2.0386)	Prec@1 51.000 (47.448)	Prec@5 81.000 (77.952)
Epoch: [41][4010/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.0481 (2.0386)	Prec@1 46.000 (47.450)	Prec@5 77.500 (77.951)
Epoch: [41][4020/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.1344 (2.0386)	Prec@1 43.000 (47.449)	Prec@5 76.500 (77.950)
Epoch: [41][4030/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.0906 (2.0387)	Prec@1 44.000 (47.446)	Prec@5 78.000 (77.948)
Epoch: [41][4040/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.0797 (2.0387)	Prec@1 47.500 (47.444)	Prec@5 76.000 (77.947)
Epoch: [41][4050/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.2755 (2.0387)	Prec@1 43.000 (47.447)	Prec@5 76.000 (77.949)
Epoch: [41][4060/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9421 (2.0389)	Prec@1 47.500 (47.443)	Prec@5 78.500 (77.944)
Epoch: [41][4070/9018]	Time 0.777 (0.616)	Data 0.001 (0.001)	Loss 2.0956 (2.0388)	Prec@1 49.000 (47.444)	Prec@5 79.500 (77.945)
Epoch: [41][4080/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9943 (2.0388)	Prec@1 50.000 (47.444)	Prec@5 80.000 (77.948)
Epoch: [41][4090/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1764 (2.0390)	Prec@1 45.500 (47.444)	Prec@5 74.000 (77.944)
Epoch: [41][4100/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 1.9894 (2.0390)	Prec@1 43.000 (47.440)	Prec@5 79.500 (77.946)
Epoch: [41][4110/9018]	Time 0.589 (0.616)	Data 0.001 (0.001)	Loss 1.9875 (2.0389)	Prec@1 49.500 (47.441)	Prec@5 77.500 (77.945)
Epoch: [41][4120/9018]	Time 0.712 (0.616)	Data 0.001 (0.001)	Loss 2.1520 (2.0389)	Prec@1 48.500 (47.441)	Prec@5 76.000 (77.945)
Epoch: [41][4130/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.1544 (2.0389)	Prec@1 48.000 (47.445)	Prec@5 75.000 (77.947)
Epoch: [41][4140/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9046 (2.0388)	Prec@1 52.500 (47.446)	Prec@5 79.000 (77.951)
Epoch: [41][4150/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.1273 (2.0389)	Prec@1 46.500 (47.445)	Prec@5 76.000 (77.950)
Epoch: [41][4160/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.9447 (2.0389)	Prec@1 45.000 (47.442)	Prec@5 85.000 (77.953)
Epoch: [41][4170/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.2538 (2.0389)	Prec@1 42.000 (47.441)	Prec@5 71.500 (77.952)
Epoch: [41][4180/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.1034 (2.0389)	Prec@1 44.500 (47.439)	Prec@5 76.000 (77.951)
Epoch: [41][4190/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.2032 (2.0389)	Prec@1 45.000 (47.442)	Prec@5 77.000 (77.953)
Epoch: [41][4200/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.0941 (2.0389)	Prec@1 45.000 (47.439)	Prec@5 75.500 (77.953)
Epoch: [41][4210/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 1.7719 (2.0389)	Prec@1 48.500 (47.442)	Prec@5 86.000 (77.955)
Epoch: [41][4220/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.3874 (2.0390)	Prec@1 39.500 (47.440)	Prec@5 72.000 (77.953)
Epoch: [41][4230/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.0655 (2.0390)	Prec@1 45.500 (47.441)	Prec@5 75.000 (77.954)
Epoch: [41][4240/9018]	Time 0.636 (0.616)	Data 0.001 (0.001)	Loss 1.8163 (2.0390)	Prec@1 53.000 (47.441)	Prec@5 80.000 (77.952)
Epoch: [41][4250/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.1707 (2.0390)	Prec@1 38.000 (47.440)	Prec@5 75.500 (77.952)
Epoch: [41][4260/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 1.9639 (2.0392)	Prec@1 51.000 (47.442)	Prec@5 77.000 (77.950)
Epoch: [41][4270/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.7782 (2.0392)	Prec@1 57.000 (47.445)	Prec@5 79.000 (77.948)
Epoch: [41][4280/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.8719 (2.0392)	Prec@1 48.000 (47.444)	Prec@5 83.000 (77.949)
Epoch: [41][4290/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.2057 (2.0392)	Prec@1 42.500 (47.446)	Prec@5 77.500 (77.950)
Epoch: [41][4300/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1044 (2.0393)	Prec@1 43.500 (47.447)	Prec@5 78.000 (77.948)
Epoch: [41][4310/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.0825 (2.0393)	Prec@1 50.000 (47.449)	Prec@5 76.000 (77.943)
Epoch: [41][4320/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.3198 (2.0394)	Prec@1 45.500 (47.448)	Prec@5 72.000 (77.942)
Epoch: [41][4330/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.0951 (2.0396)	Prec@1 42.500 (47.446)	Prec@5 76.000 (77.939)
Epoch: [41][4340/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9125 (2.0396)	Prec@1 47.500 (47.445)	Prec@5 78.500 (77.938)
Epoch: [41][4350/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1054 (2.0396)	Prec@1 46.000 (47.443)	Prec@5 76.000 (77.937)
Epoch: [41][4360/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0083 (2.0397)	Prec@1 46.500 (47.445)	Prec@5 79.000 (77.936)
Epoch: [41][4370/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.0097 (2.0397)	Prec@1 49.000 (47.445)	Prec@5 77.500 (77.935)
Epoch: [41][4380/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9587 (2.0397)	Prec@1 49.500 (47.442)	Prec@5 79.000 (77.935)
Epoch: [41][4390/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9252 (2.0396)	Prec@1 52.000 (47.442)	Prec@5 78.000 (77.935)
Epoch: [41][4400/9018]	Time 0.764 (0.616)	Data 0.001 (0.001)	Loss 2.0023 (2.0396)	Prec@1 46.000 (47.442)	Prec@5 81.500 (77.935)
Epoch: [41][4410/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.2173 (2.0396)	Prec@1 41.000 (47.441)	Prec@5 74.000 (77.934)
Epoch: [41][4420/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.2404 (2.0397)	Prec@1 43.500 (47.437)	Prec@5 73.500 (77.930)
Epoch: [41][4430/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 1.9323 (2.0398)	Prec@1 49.500 (47.436)	Prec@5 80.000 (77.929)
Epoch: [41][4440/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.9539 (2.0399)	Prec@1 51.500 (47.436)	Prec@5 79.000 (77.927)
Epoch: [41][4450/9018]	Time 0.726 (0.616)	Data 0.001 (0.001)	Loss 2.0653 (2.0401)	Prec@1 51.500 (47.432)	Prec@5 79.000 (77.925)
Epoch: [41][4460/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.9956 (2.0402)	Prec@1 48.500 (47.429)	Prec@5 80.500 (77.924)
Epoch: [41][4470/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.0424 (2.0402)	Prec@1 44.500 (47.425)	Prec@5 79.000 (77.924)
Epoch: [41][4480/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0802 (2.0403)	Prec@1 45.500 (47.422)	Prec@5 80.500 (77.922)
Epoch: [41][4490/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.2255 (2.0405)	Prec@1 43.500 (47.420)	Prec@5 77.500 (77.920)
Epoch: [41][4500/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 1.9060 (2.0405)	Prec@1 52.000 (47.422)	Prec@5 81.000 (77.922)
Epoch: [41][4510/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 1.9311 (2.0404)	Prec@1 45.000 (47.423)	Prec@5 80.500 (77.924)
Epoch: [41][4520/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1116 (2.0404)	Prec@1 44.500 (47.423)	Prec@5 79.000 (77.925)
Epoch: [41][4530/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.1187 (2.0404)	Prec@1 45.500 (47.424)	Prec@5 77.000 (77.925)
Epoch: [41][4540/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0662 (2.0404)	Prec@1 47.500 (47.422)	Prec@5 76.000 (77.924)
Epoch: [41][4550/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.8017 (2.0404)	Prec@1 55.000 (47.423)	Prec@5 80.500 (77.926)
Epoch: [41][4560/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.8560 (2.0404)	Prec@1 50.000 (47.422)	Prec@5 80.500 (77.926)
Epoch: [41][4570/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1413 (2.0404)	Prec@1 45.500 (47.421)	Prec@5 74.500 (77.926)
Epoch: [41][4580/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 1.9048 (2.0404)	Prec@1 45.500 (47.418)	Prec@5 80.500 (77.927)
Epoch: [41][4590/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0158 (2.0404)	Prec@1 45.500 (47.417)	Prec@5 79.500 (77.927)
Epoch: [41][4600/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.2838 (2.0404)	Prec@1 41.000 (47.420)	Prec@5 73.500 (77.927)
Epoch: [41][4610/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.1156 (2.0405)	Prec@1 42.500 (47.418)	Prec@5 74.500 (77.923)
Epoch: [41][4620/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.0823 (2.0406)	Prec@1 48.500 (47.418)	Prec@5 77.000 (77.923)
Epoch: [41][4630/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.9933 (2.0406)	Prec@1 50.000 (47.416)	Prec@5 77.500 (77.921)
Epoch: [41][4640/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 1.8329 (2.0405)	Prec@1 54.500 (47.417)	Prec@5 82.500 (77.922)
Epoch: [41][4650/9018]	Time 0.644 (0.616)	Data 0.001 (0.001)	Loss 1.9669 (2.0404)	Prec@1 47.500 (47.420)	Prec@5 80.000 (77.924)
Epoch: [41][4660/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9260 (2.0404)	Prec@1 54.500 (47.422)	Prec@5 79.500 (77.924)
Epoch: [41][4670/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0253 (2.0406)	Prec@1 48.000 (47.417)	Prec@5 78.500 (77.924)
Epoch: [41][4680/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.1759 (2.0406)	Prec@1 47.000 (47.414)	Prec@5 79.000 (77.924)
Epoch: [41][4690/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.9621 (2.0406)	Prec@1 47.500 (47.414)	Prec@5 77.000 (77.927)
Epoch: [41][4700/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.0848 (2.0404)	Prec@1 48.500 (47.416)	Prec@5 74.500 (77.928)
Epoch: [41][4710/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.2399 (2.0405)	Prec@1 43.000 (47.415)	Prec@5 70.000 (77.926)
Epoch: [41][4720/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0706 (2.0405)	Prec@1 48.500 (47.415)	Prec@5 76.500 (77.925)
Epoch: [41][4730/9018]	Time 0.762 (0.616)	Data 0.001 (0.001)	Loss 2.1033 (2.0406)	Prec@1 46.500 (47.414)	Prec@5 78.000 (77.922)
Epoch: [41][4740/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.0369 (2.0406)	Prec@1 50.500 (47.416)	Prec@5 80.500 (77.924)
Epoch: [41][4750/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1008 (2.0407)	Prec@1 50.000 (47.413)	Prec@5 79.000 (77.923)
Epoch: [41][4760/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.1483 (2.0406)	Prec@1 47.500 (47.413)	Prec@5 75.500 (77.925)
Epoch: [41][4770/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 1.9897 (2.0407)	Prec@1 51.000 (47.413)	Prec@5 76.500 (77.925)
Epoch: [41][4780/9018]	Time 0.717 (0.616)	Data 0.001 (0.001)	Loss 2.0548 (2.0407)	Prec@1 44.000 (47.410)	Prec@5 80.500 (77.924)
Epoch: [41][4790/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0305 (2.0408)	Prec@1 47.000 (47.410)	Prec@5 75.000 (77.923)
Epoch: [41][4800/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9759 (2.0409)	Prec@1 47.500 (47.409)	Prec@5 80.500 (77.922)
Epoch: [41][4810/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.8886 (2.0409)	Prec@1 50.500 (47.411)	Prec@5 80.000 (77.922)
Epoch: [41][4820/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9775 (2.0408)	Prec@1 51.500 (47.410)	Prec@5 77.000 (77.924)
Epoch: [41][4830/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.0651 (2.0409)	Prec@1 47.000 (47.408)	Prec@5 76.000 (77.925)
Epoch: [41][4840/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0109 (2.0408)	Prec@1 43.500 (47.408)	Prec@5 81.500 (77.925)
Epoch: [41][4850/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1900 (2.0410)	Prec@1 45.000 (47.403)	Prec@5 73.500 (77.922)
Epoch: [41][4860/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.1841 (2.0410)	Prec@1 46.500 (47.402)	Prec@5 74.000 (77.922)
Epoch: [41][4870/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.0657 (2.0409)	Prec@1 44.000 (47.405)	Prec@5 81.000 (77.925)
Epoch: [41][4880/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.1934 (2.0410)	Prec@1 50.000 (47.404)	Prec@5 77.000 (77.925)
Epoch: [41][4890/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.8684 (2.0411)	Prec@1 47.000 (47.402)	Prec@5 80.500 (77.923)
Epoch: [41][4900/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0282 (2.0411)	Prec@1 52.500 (47.401)	Prec@5 76.000 (77.923)
Epoch: [41][4910/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 1.8909 (2.0411)	Prec@1 54.000 (47.400)	Prec@5 77.000 (77.924)
Epoch: [41][4920/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0949 (2.0411)	Prec@1 45.000 (47.396)	Prec@5 77.000 (77.924)
Epoch: [41][4930/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 1.9113 (2.0411)	Prec@1 49.500 (47.398)	Prec@5 81.000 (77.923)
Epoch: [41][4940/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1334 (2.0412)	Prec@1 44.500 (47.395)	Prec@5 75.000 (77.921)
Epoch: [41][4950/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 1.8254 (2.0412)	Prec@1 52.000 (47.399)	Prec@5 79.000 (77.921)
Epoch: [41][4960/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0075 (2.0412)	Prec@1 49.000 (47.399)	Prec@5 79.500 (77.921)
Epoch: [41][4970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8924 (2.0412)	Prec@1 52.500 (47.398)	Prec@5 80.000 (77.919)
Epoch: [41][4980/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.0044 (2.0412)	Prec@1 44.000 (47.399)	Prec@5 78.500 (77.922)
Epoch: [41][4990/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9113 (2.0412)	Prec@1 48.000 (47.400)	Prec@5 81.500 (77.922)
Epoch: [41][5000/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.0877 (2.0411)	Prec@1 47.000 (47.402)	Prec@5 77.000 (77.922)
Epoch: [41][5010/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9412 (2.0409)	Prec@1 49.500 (47.407)	Prec@5 80.500 (77.924)
Epoch: [41][5020/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1071 (2.0410)	Prec@1 46.000 (47.408)	Prec@5 76.000 (77.921)
Epoch: [41][5030/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.2938 (2.0409)	Prec@1 42.000 (47.407)	Prec@5 73.000 (77.919)
Epoch: [41][5040/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2195 (2.0409)	Prec@1 46.000 (47.406)	Prec@5 80.500 (77.920)
Epoch: [41][5050/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8429 (2.0409)	Prec@1 53.500 (47.409)	Prec@5 80.000 (77.920)
Epoch: [41][5060/9018]	Time 0.780 (0.616)	Data 0.001 (0.001)	Loss 2.1078 (2.0408)	Prec@1 44.500 (47.411)	Prec@5 75.000 (77.921)
Epoch: [41][5070/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1656 (2.0411)	Prec@1 42.500 (47.407)	Prec@5 77.500 (77.917)
Epoch: [41][5080/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1170 (2.0413)	Prec@1 47.500 (47.403)	Prec@5 76.500 (77.913)
Epoch: [41][5090/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8750 (2.0411)	Prec@1 51.500 (47.408)	Prec@5 80.500 (77.915)
Epoch: [41][5100/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8712 (2.0412)	Prec@1 54.500 (47.404)	Prec@5 78.500 (77.912)
Epoch: [41][5110/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 1.9940 (2.0413)	Prec@1 51.500 (47.402)	Prec@5 78.500 (77.909)
Epoch: [41][5120/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.1127 (2.0413)	Prec@1 45.500 (47.405)	Prec@5 78.000 (77.911)
Epoch: [41][5130/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0426 (2.0413)	Prec@1 51.000 (47.405)	Prec@5 77.000 (77.912)
Epoch: [41][5140/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.2337 (2.0413)	Prec@1 41.000 (47.404)	Prec@5 76.000 (77.913)
Epoch: [41][5150/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8796 (2.0412)	Prec@1 55.500 (47.406)	Prec@5 78.000 (77.914)
Epoch: [41][5160/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1247 (2.0414)	Prec@1 40.000 (47.400)	Prec@5 73.000 (77.909)
Epoch: [41][5170/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2425 (2.0414)	Prec@1 42.000 (47.398)	Prec@5 75.000 (77.908)
Epoch: [41][5180/9018]	Time 0.639 (0.616)	Data 0.001 (0.001)	Loss 2.1003 (2.0414)	Prec@1 49.500 (47.401)	Prec@5 77.000 (77.908)
Epoch: [41][5190/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.0647 (2.0415)	Prec@1 45.000 (47.397)	Prec@5 79.500 (77.907)
Epoch: [41][5200/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1111 (2.0413)	Prec@1 45.000 (47.399)	Prec@5 75.500 (77.911)
Epoch: [41][5210/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9216 (2.0413)	Prec@1 47.500 (47.400)	Prec@5 80.000 (77.911)
Epoch: [41][5220/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.1233 (2.0413)	Prec@1 46.500 (47.402)	Prec@5 74.500 (77.911)
Epoch: [41][5230/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1280 (2.0415)	Prec@1 45.000 (47.399)	Prec@5 75.500 (77.908)
Epoch: [41][5240/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9949 (2.0416)	Prec@1 45.000 (47.395)	Prec@5 79.500 (77.905)
Epoch: [41][5250/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1918 (2.0416)	Prec@1 43.500 (47.394)	Prec@5 78.000 (77.904)
Epoch: [41][5260/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.8602 (2.0416)	Prec@1 54.000 (47.398)	Prec@5 80.000 (77.905)
Epoch: [41][5270/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.4293 (2.0416)	Prec@1 40.000 (47.402)	Prec@5 72.500 (77.907)
Epoch: [41][5280/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1319 (2.0417)	Prec@1 46.500 (47.399)	Prec@5 78.000 (77.905)
Epoch: [41][5290/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3847 (2.0417)	Prec@1 45.000 (47.400)	Prec@5 72.000 (77.906)
Epoch: [41][5300/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0582 (2.0418)	Prec@1 48.500 (47.397)	Prec@5 76.000 (77.903)
Epoch: [41][5310/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1790 (2.0419)	Prec@1 43.000 (47.395)	Prec@5 74.500 (77.901)
Epoch: [41][5320/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.2090 (2.0420)	Prec@1 43.500 (47.393)	Prec@5 76.500 (77.900)
Epoch: [41][5330/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0309 (2.0421)	Prec@1 46.000 (47.393)	Prec@5 78.500 (77.900)
Epoch: [41][5340/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.0157 (2.0421)	Prec@1 47.500 (47.394)	Prec@5 76.000 (77.899)
Epoch: [41][5350/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0289 (2.0423)	Prec@1 45.500 (47.387)	Prec@5 81.000 (77.898)
Epoch: [41][5360/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9063 (2.0422)	Prec@1 51.500 (47.388)	Prec@5 79.000 (77.899)
Epoch: [41][5370/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1255 (2.0422)	Prec@1 45.500 (47.388)	Prec@5 77.500 (77.900)
Epoch: [41][5380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9613 (2.0422)	Prec@1 48.000 (47.388)	Prec@5 76.500 (77.899)
Epoch: [41][5390/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 1.8844 (2.0422)	Prec@1 50.500 (47.389)	Prec@5 79.500 (77.898)
Epoch: [41][5400/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2262 (2.0424)	Prec@1 47.000 (47.385)	Prec@5 71.500 (77.894)
Epoch: [41][5410/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0257 (2.0425)	Prec@1 46.500 (47.384)	Prec@5 77.500 (77.893)
Epoch: [41][5420/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.1069 (2.0424)	Prec@1 43.500 (47.382)	Prec@5 76.000 (77.893)
Epoch: [41][5430/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2510 (2.0424)	Prec@1 43.500 (47.383)	Prec@5 77.000 (77.893)
Epoch: [41][5440/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.1800 (2.0425)	Prec@1 44.000 (47.381)	Prec@5 77.000 (77.892)
Epoch: [41][5450/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.1601 (2.0426)	Prec@1 43.500 (47.379)	Prec@5 76.000 (77.892)
Epoch: [41][5460/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1696 (2.0425)	Prec@1 46.000 (47.378)	Prec@5 76.000 (77.894)
Epoch: [41][5470/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1028 (2.0425)	Prec@1 42.000 (47.379)	Prec@5 79.500 (77.896)
Epoch: [41][5480/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.8875 (2.0424)	Prec@1 52.000 (47.382)	Prec@5 79.000 (77.897)
Epoch: [41][5490/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0358 (2.0424)	Prec@1 49.500 (47.383)	Prec@5 77.500 (77.896)
Epoch: [41][5500/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0506 (2.0424)	Prec@1 48.500 (47.383)	Prec@5 82.000 (77.897)
Epoch: [41][5510/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1730 (2.0425)	Prec@1 42.000 (47.380)	Prec@5 76.500 (77.894)
Epoch: [41][5520/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2328 (2.0424)	Prec@1 44.500 (47.383)	Prec@5 76.000 (77.896)
Epoch: [41][5530/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3090 (2.0425)	Prec@1 42.000 (47.384)	Prec@5 73.500 (77.894)
Epoch: [41][5540/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1182 (2.0424)	Prec@1 45.500 (47.383)	Prec@5 78.500 (77.893)
Epoch: [41][5550/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1260 (2.0425)	Prec@1 43.500 (47.383)	Prec@5 75.000 (77.891)
Epoch: [41][5560/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0481 (2.0426)	Prec@1 46.500 (47.380)	Prec@5 78.500 (77.889)
Epoch: [41][5570/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2435 (2.0427)	Prec@1 44.500 (47.380)	Prec@5 76.000 (77.888)
Epoch: [41][5580/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1224 (2.0427)	Prec@1 45.500 (47.381)	Prec@5 78.500 (77.890)
Epoch: [41][5590/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1408 (2.0427)	Prec@1 43.500 (47.382)	Prec@5 75.500 (77.891)
Epoch: [41][5600/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9912 (2.0426)	Prec@1 52.000 (47.385)	Prec@5 79.500 (77.891)
Epoch: [41][5610/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0158 (2.0427)	Prec@1 51.000 (47.386)	Prec@5 79.000 (77.891)
Epoch: [41][5620/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1059 (2.0426)	Prec@1 43.500 (47.388)	Prec@5 81.500 (77.893)
Epoch: [41][5630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8513 (2.0425)	Prec@1 51.500 (47.390)	Prec@5 84.000 (77.898)
Epoch: [41][5640/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1278 (2.0425)	Prec@1 41.000 (47.388)	Prec@5 78.000 (77.897)
Epoch: [41][5650/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0553 (2.0426)	Prec@1 45.500 (47.389)	Prec@5 79.500 (77.895)
Epoch: [41][5660/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9617 (2.0425)	Prec@1 50.000 (47.390)	Prec@5 81.500 (77.897)
Epoch: [41][5670/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9350 (2.0426)	Prec@1 50.000 (47.387)	Prec@5 81.500 (77.896)
Epoch: [41][5680/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2665 (2.0426)	Prec@1 43.000 (47.387)	Prec@5 74.500 (77.896)
Epoch: [41][5690/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.9754 (2.0426)	Prec@1 44.500 (47.388)	Prec@5 77.500 (77.897)
Epoch: [41][5700/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9421 (2.0426)	Prec@1 50.000 (47.387)	Prec@5 78.500 (77.897)
Epoch: [41][5710/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.2855 (2.0427)	Prec@1 45.000 (47.386)	Prec@5 73.500 (77.896)
Epoch: [41][5720/9018]	Time 0.766 (0.615)	Data 0.001 (0.001)	Loss 2.1140 (2.0426)	Prec@1 45.000 (47.386)	Prec@5 75.500 (77.896)
Epoch: [41][5730/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0950 (2.0426)	Prec@1 44.000 (47.386)	Prec@5 77.000 (77.895)
Epoch: [41][5740/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3033 (2.0428)	Prec@1 47.500 (47.384)	Prec@5 74.000 (77.892)
Epoch: [41][5750/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9189 (2.0429)	Prec@1 50.000 (47.384)	Prec@5 80.500 (77.892)
Epoch: [41][5760/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0699 (2.0429)	Prec@1 50.000 (47.385)	Prec@5 78.000 (77.894)
Epoch: [41][5770/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 1.9927 (2.0430)	Prec@1 52.000 (47.383)	Prec@5 76.500 (77.892)
Epoch: [41][5780/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.0018 (2.0429)	Prec@1 47.000 (47.383)	Prec@5 78.000 (77.892)
Epoch: [41][5790/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2269 (2.0430)	Prec@1 46.000 (47.381)	Prec@5 74.000 (77.892)
Epoch: [41][5800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0843 (2.0431)	Prec@1 48.500 (47.378)	Prec@5 76.000 (77.888)
Epoch: [41][5810/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8240 (2.0431)	Prec@1 53.500 (47.378)	Prec@5 81.500 (77.887)
Epoch: [41][5820/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.1173 (2.0431)	Prec@1 44.000 (47.377)	Prec@5 77.500 (77.887)
Epoch: [41][5830/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.8132 (2.0430)	Prec@1 52.500 (47.378)	Prec@5 82.500 (77.889)
Epoch: [41][5840/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.9581 (2.0431)	Prec@1 51.000 (47.377)	Prec@5 80.500 (77.889)
Epoch: [41][5850/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8672 (2.0431)	Prec@1 51.000 (47.376)	Prec@5 79.500 (77.888)
Epoch: [41][5860/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1330 (2.0432)	Prec@1 46.000 (47.373)	Prec@5 75.500 (77.886)
Epoch: [41][5870/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8319 (2.0431)	Prec@1 52.500 (47.374)	Prec@5 83.000 (77.889)
Epoch: [41][5880/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.0937 (2.0433)	Prec@1 44.000 (47.371)	Prec@5 76.500 (77.887)
Epoch: [41][5890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0283 (2.0433)	Prec@1 45.000 (47.371)	Prec@5 76.500 (77.887)
Epoch: [41][5900/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0250 (2.0433)	Prec@1 46.000 (47.373)	Prec@5 79.000 (77.888)
Epoch: [41][5910/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0155 (2.0433)	Prec@1 47.500 (47.373)	Prec@5 77.500 (77.886)
Epoch: [41][5920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9684 (2.0433)	Prec@1 44.500 (47.374)	Prec@5 82.500 (77.887)
Epoch: [41][5930/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.8500 (2.0433)	Prec@1 55.500 (47.374)	Prec@5 78.500 (77.886)
Epoch: [41][5940/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9769 (2.0434)	Prec@1 51.500 (47.374)	Prec@5 78.000 (77.885)
Epoch: [41][5950/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.1597 (2.0435)	Prec@1 43.500 (47.371)	Prec@5 75.500 (77.884)
Epoch: [41][5960/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0874 (2.0435)	Prec@1 49.000 (47.370)	Prec@5 77.000 (77.883)
Epoch: [41][5970/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0408 (2.0436)	Prec@1 46.500 (47.370)	Prec@5 77.000 (77.882)
Epoch: [41][5980/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.2038 (2.0436)	Prec@1 46.000 (47.369)	Prec@5 76.500 (77.882)
Epoch: [41][5990/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1245 (2.0436)	Prec@1 43.000 (47.367)	Prec@5 77.000 (77.883)
Epoch: [41][6000/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4986 (2.0437)	Prec@1 43.000 (47.368)	Prec@5 66.000 (77.880)
Epoch: [41][6010/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0201 (2.0436)	Prec@1 45.500 (47.367)	Prec@5 75.000 (77.882)
Epoch: [41][6020/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1473 (2.0437)	Prec@1 44.500 (47.367)	Prec@5 73.500 (77.881)
Epoch: [41][6030/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.9417 (2.0437)	Prec@1 48.000 (47.368)	Prec@5 78.000 (77.880)
Epoch: [41][6040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8882 (2.0437)	Prec@1 53.500 (47.368)	Prec@5 81.000 (77.880)
Epoch: [41][6050/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 1.9868 (2.0437)	Prec@1 46.500 (47.369)	Prec@5 79.500 (77.882)
Epoch: [41][6060/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1224 (2.0437)	Prec@1 46.000 (47.369)	Prec@5 76.000 (77.882)
Epoch: [41][6070/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0352 (2.0438)	Prec@1 47.000 (47.369)	Prec@5 78.500 (77.882)
Epoch: [41][6080/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.1897 (2.0438)	Prec@1 45.000 (47.369)	Prec@5 73.000 (77.882)
Epoch: [41][6090/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0921 (2.0438)	Prec@1 48.500 (47.370)	Prec@5 77.000 (77.885)
Epoch: [41][6100/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.0342 (2.0438)	Prec@1 47.500 (47.368)	Prec@5 79.000 (77.885)
Epoch: [41][6110/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0467 (2.0437)	Prec@1 48.000 (47.369)	Prec@5 76.500 (77.886)
Epoch: [41][6120/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1550 (2.0439)	Prec@1 43.500 (47.368)	Prec@5 74.500 (77.884)
Epoch: [41][6130/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0612 (2.0439)	Prec@1 46.500 (47.367)	Prec@5 78.000 (77.883)
Epoch: [41][6140/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0909 (2.0439)	Prec@1 44.000 (47.367)	Prec@5 77.000 (77.883)
Epoch: [41][6150/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9732 (2.0439)	Prec@1 52.000 (47.370)	Prec@5 77.500 (77.883)
Epoch: [41][6160/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.2076 (2.0439)	Prec@1 42.000 (47.369)	Prec@5 75.500 (77.883)
Epoch: [41][6170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1499 (2.0439)	Prec@1 42.000 (47.369)	Prec@5 77.000 (77.884)
Epoch: [41][6180/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6184 (2.0438)	Prec@1 53.500 (47.371)	Prec@5 84.000 (77.885)
Epoch: [41][6190/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0582 (2.0438)	Prec@1 50.000 (47.370)	Prec@5 76.000 (77.885)
Epoch: [41][6200/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1873 (2.0438)	Prec@1 46.000 (47.370)	Prec@5 75.500 (77.884)
Epoch: [41][6210/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2728 (2.0439)	Prec@1 42.500 (47.367)	Prec@5 70.500 (77.880)
Epoch: [41][6220/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0285 (2.0440)	Prec@1 47.000 (47.364)	Prec@5 80.000 (77.880)
Epoch: [41][6230/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9363 (2.0441)	Prec@1 46.500 (47.362)	Prec@5 79.000 (77.879)
Epoch: [41][6240/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.8743 (2.0441)	Prec@1 50.000 (47.362)	Prec@5 79.000 (77.878)
Epoch: [41][6250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9494 (2.0441)	Prec@1 50.500 (47.362)	Prec@5 79.500 (77.879)
Epoch: [41][6260/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9598 (2.0441)	Prec@1 46.000 (47.362)	Prec@5 78.000 (77.880)
Epoch: [41][6270/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3100 (2.0441)	Prec@1 42.000 (47.362)	Prec@5 74.500 (77.881)
Epoch: [41][6280/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9924 (2.0442)	Prec@1 50.500 (47.361)	Prec@5 78.500 (77.880)
Epoch: [41][6290/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1382 (2.0442)	Prec@1 41.500 (47.359)	Prec@5 75.000 (77.880)
Epoch: [41][6300/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1257 (2.0443)	Prec@1 45.000 (47.358)	Prec@5 75.500 (77.879)
Epoch: [41][6310/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2304 (2.0443)	Prec@1 41.000 (47.357)	Prec@5 73.000 (77.878)
Epoch: [41][6320/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1240 (2.0444)	Prec@1 45.500 (47.356)	Prec@5 74.000 (77.877)
Epoch: [41][6330/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0054 (2.0445)	Prec@1 51.500 (47.354)	Prec@5 79.500 (77.877)
Epoch: [41][6340/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2405 (2.0446)	Prec@1 44.500 (47.350)	Prec@5 75.500 (77.875)
Epoch: [41][6350/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0631 (2.0445)	Prec@1 53.500 (47.352)	Prec@5 73.000 (77.875)
Epoch: [41][6360/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.8816 (2.0445)	Prec@1 48.000 (47.352)	Prec@5 82.000 (77.878)
Epoch: [41][6370/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0777 (2.0444)	Prec@1 45.500 (47.354)	Prec@5 77.500 (77.879)
Epoch: [41][6380/9018]	Time 0.761 (0.615)	Data 0.001 (0.001)	Loss 2.0724 (2.0444)	Prec@1 50.000 (47.354)	Prec@5 77.500 (77.879)
Epoch: [41][6390/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1274 (2.0444)	Prec@1 41.000 (47.356)	Prec@5 76.000 (77.880)
Epoch: [41][6400/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1390 (2.0446)	Prec@1 45.000 (47.353)	Prec@5 73.500 (77.876)
Epoch: [41][6410/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9510 (2.0447)	Prec@1 51.000 (47.350)	Prec@5 81.500 (77.874)
Epoch: [41][6420/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2927 (2.0447)	Prec@1 42.000 (47.348)	Prec@5 75.000 (77.875)
Epoch: [41][6430/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.1354 (2.0449)	Prec@1 46.000 (47.344)	Prec@5 78.500 (77.871)
Epoch: [41][6440/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0634 (2.0450)	Prec@1 45.000 (47.341)	Prec@5 76.500 (77.869)
Epoch: [41][6450/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9085 (2.0450)	Prec@1 54.500 (47.339)	Prec@5 81.000 (77.869)
Epoch: [41][6460/9018]	Time 0.649 (0.615)	Data 0.001 (0.001)	Loss 1.8897 (2.0451)	Prec@1 47.000 (47.336)	Prec@5 80.000 (77.869)
Epoch: [41][6470/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1948 (2.0451)	Prec@1 45.000 (47.336)	Prec@5 75.500 (77.870)
Epoch: [41][6480/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2021 (2.0451)	Prec@1 46.000 (47.336)	Prec@5 75.000 (77.871)
Epoch: [41][6490/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.9183 (2.0450)	Prec@1 49.500 (47.336)	Prec@5 81.500 (77.871)
Epoch: [41][6500/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1194 (2.0451)	Prec@1 45.000 (47.334)	Prec@5 78.000 (77.870)
Epoch: [41][6510/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.0040 (2.0451)	Prec@1 44.000 (47.332)	Prec@5 76.000 (77.869)
Epoch: [41][6520/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.1137 (2.0451)	Prec@1 46.000 (47.333)	Prec@5 77.000 (77.867)
Epoch: [41][6530/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9453 (2.0452)	Prec@1 51.500 (47.331)	Prec@5 80.000 (77.867)
Epoch: [41][6540/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.9083 (2.0452)	Prec@1 49.000 (47.329)	Prec@5 82.500 (77.867)
Epoch: [41][6550/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0624 (2.0451)	Prec@1 44.500 (47.329)	Prec@5 80.500 (77.868)
Epoch: [41][6560/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1419 (2.0451)	Prec@1 44.500 (47.329)	Prec@5 72.500 (77.868)
Epoch: [41][6570/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0386 (2.0450)	Prec@1 46.500 (47.332)	Prec@5 78.500 (77.869)
Epoch: [41][6580/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8576 (2.0450)	Prec@1 49.500 (47.331)	Prec@5 82.500 (77.870)
Epoch: [41][6590/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0279 (2.0450)	Prec@1 47.500 (47.332)	Prec@5 79.000 (77.870)
Epoch: [41][6600/9018]	Time 0.602 (0.615)	Data 0.005 (0.001)	Loss 2.2559 (2.0450)	Prec@1 46.000 (47.333)	Prec@5 74.000 (77.869)
Epoch: [41][6610/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2689 (2.0450)	Prec@1 46.500 (47.333)	Prec@5 77.000 (77.869)
Epoch: [41][6620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9825 (2.0451)	Prec@1 47.500 (47.332)	Prec@5 81.500 (77.868)
Epoch: [41][6630/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9826 (2.0451)	Prec@1 47.500 (47.332)	Prec@5 79.500 (77.868)
Epoch: [41][6640/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.9627 (2.0451)	Prec@1 51.000 (47.333)	Prec@5 82.000 (77.869)
Epoch: [41][6650/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0827 (2.0451)	Prec@1 46.500 (47.331)	Prec@5 78.000 (77.867)
Epoch: [41][6660/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2098 (2.0452)	Prec@1 42.000 (47.330)	Prec@5 74.000 (77.867)
Epoch: [41][6670/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.7722 (2.0451)	Prec@1 52.000 (47.330)	Prec@5 81.500 (77.869)
Epoch: [41][6680/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0531 (2.0452)	Prec@1 45.500 (47.328)	Prec@5 78.000 (77.868)
Epoch: [41][6690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1228 (2.0453)	Prec@1 45.500 (47.328)	Prec@5 76.500 (77.864)
Epoch: [41][6700/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0785 (2.0452)	Prec@1 48.000 (47.327)	Prec@5 76.000 (77.866)
Epoch: [41][6710/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 1.8733 (2.0451)	Prec@1 47.000 (47.326)	Prec@5 81.500 (77.868)
Epoch: [41][6720/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9819 (2.0451)	Prec@1 47.500 (47.326)	Prec@5 76.500 (77.868)
Epoch: [41][6730/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9853 (2.0451)	Prec@1 48.500 (47.328)	Prec@5 80.500 (77.872)
Epoch: [41][6740/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.8168 (2.0450)	Prec@1 53.000 (47.329)	Prec@5 81.000 (77.873)
Epoch: [41][6750/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9380 (2.0450)	Prec@1 45.500 (47.327)	Prec@5 81.000 (77.873)
Epoch: [41][6760/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.0613 (2.0450)	Prec@1 48.500 (47.328)	Prec@5 78.500 (77.873)
Epoch: [41][6770/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0621 (2.0451)	Prec@1 51.000 (47.328)	Prec@5 77.500 (77.872)
Epoch: [41][6780/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.8823 (2.0450)	Prec@1 46.000 (47.327)	Prec@5 81.500 (77.874)
Epoch: [41][6790/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2217 (2.0451)	Prec@1 45.000 (47.329)	Prec@5 77.500 (77.874)
Epoch: [41][6800/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0770 (2.0451)	Prec@1 47.500 (47.329)	Prec@5 78.000 (77.874)
Epoch: [41][6810/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.9521 (2.0451)	Prec@1 49.500 (47.326)	Prec@5 79.500 (77.874)
Epoch: [41][6820/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1779 (2.0452)	Prec@1 48.000 (47.322)	Prec@5 74.500 (77.871)
Epoch: [41][6830/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2069 (2.0451)	Prec@1 46.000 (47.325)	Prec@5 72.500 (77.874)
Epoch: [41][6840/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.8782 (2.0452)	Prec@1 54.500 (47.324)	Prec@5 80.500 (77.873)
Epoch: [41][6850/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0406 (2.0451)	Prec@1 49.500 (47.326)	Prec@5 80.000 (77.875)
Epoch: [41][6860/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0246 (2.0452)	Prec@1 45.500 (47.325)	Prec@5 79.500 (77.875)
Epoch: [41][6870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0984 (2.0453)	Prec@1 49.000 (47.327)	Prec@5 75.000 (77.873)
Epoch: [41][6880/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0704 (2.0453)	Prec@1 47.500 (47.328)	Prec@5 79.500 (77.873)
Epoch: [41][6890/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.2185 (2.0453)	Prec@1 42.500 (47.326)	Prec@5 75.500 (77.874)
Epoch: [41][6900/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2183 (2.0453)	Prec@1 47.500 (47.325)	Prec@5 74.000 (77.874)
Epoch: [41][6910/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0498 (2.0453)	Prec@1 48.000 (47.324)	Prec@5 79.500 (77.875)
Epoch: [41][6920/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.8558 (2.0454)	Prec@1 50.500 (47.322)	Prec@5 82.000 (77.873)
Epoch: [41][6930/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3822 (2.0454)	Prec@1 40.000 (47.323)	Prec@5 73.500 (77.874)
Epoch: [41][6940/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.9983 (2.0454)	Prec@1 46.500 (47.323)	Prec@5 80.500 (77.874)
Epoch: [41][6950/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1550 (2.0456)	Prec@1 44.500 (47.319)	Prec@5 76.500 (77.872)
Epoch: [41][6960/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.9187 (2.0455)	Prec@1 51.000 (47.318)	Prec@5 75.500 (77.872)
Epoch: [41][6970/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9896 (2.0455)	Prec@1 48.000 (47.320)	Prec@5 79.500 (77.871)
Epoch: [41][6980/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9916 (2.0455)	Prec@1 46.500 (47.320)	Prec@5 78.500 (77.870)
Epoch: [41][6990/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.2542 (2.0455)	Prec@1 46.500 (47.321)	Prec@5 74.000 (77.869)
Epoch: [41][7000/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1360 (2.0456)	Prec@1 47.000 (47.321)	Prec@5 73.000 (77.868)
Epoch: [41][7010/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0927 (2.0456)	Prec@1 46.500 (47.321)	Prec@5 77.000 (77.869)
Epoch: [41][7020/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0996 (2.0456)	Prec@1 46.000 (47.319)	Prec@5 78.500 (77.868)
Epoch: [41][7030/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1547 (2.0457)	Prec@1 45.500 (47.318)	Prec@5 77.000 (77.866)
Epoch: [41][7040/9018]	Time 0.755 (0.615)	Data 0.001 (0.001)	Loss 1.9539 (2.0457)	Prec@1 51.000 (47.316)	Prec@5 82.000 (77.868)
Epoch: [41][7050/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.9892 (2.0458)	Prec@1 47.000 (47.315)	Prec@5 79.500 (77.864)
Epoch: [41][7060/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0273 (2.0459)	Prec@1 48.000 (47.313)	Prec@5 77.500 (77.864)
Epoch: [41][7070/9018]	Time 0.636 (0.615)	Data 0.002 (0.001)	Loss 2.0848 (2.0458)	Prec@1 44.500 (47.312)	Prec@5 77.000 (77.865)
Epoch: [41][7080/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.9234 (2.0458)	Prec@1 49.500 (47.314)	Prec@5 81.000 (77.865)
Epoch: [41][7090/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 1.9588 (2.0459)	Prec@1 47.500 (47.313)	Prec@5 80.500 (77.864)
Epoch: [41][7100/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0710 (2.0459)	Prec@1 45.500 (47.312)	Prec@5 75.000 (77.863)
Epoch: [41][7110/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9878 (2.0458)	Prec@1 45.000 (47.312)	Prec@5 82.000 (77.866)
Epoch: [41][7120/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0109 (2.0458)	Prec@1 46.000 (47.312)	Prec@5 73.500 (77.866)
Epoch: [41][7130/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1466 (2.0459)	Prec@1 49.500 (47.309)	Prec@5 74.500 (77.865)
Epoch: [41][7140/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0064 (2.0460)	Prec@1 42.500 (47.308)	Prec@5 77.500 (77.864)
Epoch: [41][7150/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0629 (2.0460)	Prec@1 45.000 (47.307)	Prec@5 77.500 (77.864)
Epoch: [41][7160/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0827 (2.0460)	Prec@1 49.000 (47.309)	Prec@5 74.000 (77.862)
Epoch: [41][7170/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1108 (2.0460)	Prec@1 45.000 (47.307)	Prec@5 74.500 (77.860)
Epoch: [41][7180/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1984 (2.0461)	Prec@1 43.000 (47.306)	Prec@5 77.000 (77.858)
Epoch: [41][7190/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8408 (2.0461)	Prec@1 47.500 (47.305)	Prec@5 83.500 (77.859)
Epoch: [41][7200/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8924 (2.0461)	Prec@1 54.000 (47.306)	Prec@5 79.000 (77.858)
Epoch: [41][7210/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0859 (2.0462)	Prec@1 49.000 (47.304)	Prec@5 76.500 (77.856)
Epoch: [41][7220/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.1106 (2.0462)	Prec@1 42.500 (47.303)	Prec@5 75.000 (77.854)
Epoch: [41][7230/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0812 (2.0462)	Prec@1 43.500 (47.302)	Prec@5 76.000 (77.854)
Epoch: [41][7240/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0268 (2.0463)	Prec@1 47.000 (47.299)	Prec@5 81.000 (77.852)
Epoch: [41][7250/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.3209 (2.0464)	Prec@1 40.500 (47.299)	Prec@5 73.000 (77.851)
Epoch: [41][7260/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1837 (2.0465)	Prec@1 41.000 (47.297)	Prec@5 74.500 (77.849)
Epoch: [41][7270/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0758 (2.0465)	Prec@1 46.000 (47.296)	Prec@5 78.500 (77.849)
Epoch: [41][7280/9018]	Time 0.646 (0.615)	Data 0.001 (0.001)	Loss 2.2961 (2.0465)	Prec@1 40.500 (47.296)	Prec@5 73.500 (77.846)
Epoch: [41][7290/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9437 (2.0466)	Prec@1 56.000 (47.295)	Prec@5 79.500 (77.845)
Epoch: [41][7300/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.9351 (2.0466)	Prec@1 53.000 (47.294)	Prec@5 80.000 (77.845)
Epoch: [41][7310/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1428 (2.0467)	Prec@1 45.000 (47.292)	Prec@5 75.000 (77.841)
Epoch: [41][7320/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0666 (2.0467)	Prec@1 46.000 (47.293)	Prec@5 79.000 (77.843)
Epoch: [41][7330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9165 (2.0466)	Prec@1 49.000 (47.294)	Prec@5 78.500 (77.844)
Epoch: [41][7340/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6899 (2.0465)	Prec@1 57.500 (47.296)	Prec@5 81.500 (77.845)
Epoch: [41][7350/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.1007 (2.0464)	Prec@1 48.500 (47.298)	Prec@5 77.000 (77.847)
Epoch: [41][7360/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9337 (2.0465)	Prec@1 50.500 (47.297)	Prec@5 79.000 (77.844)
Epoch: [41][7370/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.0222 (2.0465)	Prec@1 44.500 (47.295)	Prec@5 79.500 (77.846)
Epoch: [41][7380/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0871 (2.0466)	Prec@1 46.000 (47.293)	Prec@5 75.000 (77.844)
Epoch: [41][7390/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1625 (2.0467)	Prec@1 43.000 (47.293)	Prec@5 74.000 (77.843)
Epoch: [41][7400/9018]	Time 0.659 (0.615)	Data 0.001 (0.001)	Loss 1.8629 (2.0468)	Prec@1 49.500 (47.290)	Prec@5 82.500 (77.841)
Epoch: [41][7410/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0377 (2.0468)	Prec@1 49.000 (47.289)	Prec@5 78.000 (77.842)
Epoch: [41][7420/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 1.8074 (2.0468)	Prec@1 49.000 (47.289)	Prec@5 80.000 (77.841)
Epoch: [41][7430/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3404 (2.0469)	Prec@1 43.000 (47.288)	Prec@5 72.500 (77.840)
Epoch: [41][7440/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9793 (2.0469)	Prec@1 49.000 (47.289)	Prec@5 80.000 (77.841)
Epoch: [41][7450/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.1283 (2.0469)	Prec@1 46.000 (47.287)	Prec@5 77.500 (77.840)
Epoch: [41][7460/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1947 (2.0470)	Prec@1 50.000 (47.287)	Prec@5 76.500 (77.839)
Epoch: [41][7470/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1156 (2.0470)	Prec@1 45.000 (47.288)	Prec@5 77.000 (77.839)
Epoch: [41][7480/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8919 (2.0470)	Prec@1 50.500 (47.287)	Prec@5 79.500 (77.838)
Epoch: [41][7490/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0701 (2.0471)	Prec@1 46.500 (47.287)	Prec@5 79.000 (77.838)
Epoch: [41][7500/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9441 (2.0471)	Prec@1 53.000 (47.287)	Prec@5 77.500 (77.838)
Epoch: [41][7510/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9842 (2.0471)	Prec@1 46.500 (47.286)	Prec@5 81.000 (77.839)
Epoch: [41][7520/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.0643 (2.0471)	Prec@1 44.500 (47.287)	Prec@5 73.000 (77.838)
Epoch: [41][7530/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0625 (2.0471)	Prec@1 50.500 (47.286)	Prec@5 75.500 (77.838)
Epoch: [41][7540/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.1824 (2.0470)	Prec@1 44.000 (47.287)	Prec@5 74.500 (77.838)
Epoch: [41][7550/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.0452 (2.0470)	Prec@1 48.500 (47.287)	Prec@5 77.000 (77.838)
Epoch: [41][7560/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0440 (2.0471)	Prec@1 45.000 (47.288)	Prec@5 77.000 (77.836)
Epoch: [41][7570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3844 (2.0471)	Prec@1 41.000 (47.288)	Prec@5 68.000 (77.836)
Epoch: [41][7580/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9672 (2.0471)	Prec@1 46.500 (47.288)	Prec@5 81.000 (77.836)
Epoch: [41][7590/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1676 (2.0470)	Prec@1 47.500 (47.288)	Prec@5 76.500 (77.838)
Epoch: [41][7600/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.8782 (2.0470)	Prec@1 55.000 (47.290)	Prec@5 81.000 (77.839)
Epoch: [41][7610/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0298 (2.0471)	Prec@1 46.500 (47.286)	Prec@5 79.000 (77.837)
Epoch: [41][7620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1068 (2.0471)	Prec@1 45.500 (47.285)	Prec@5 76.000 (77.837)
Epoch: [41][7630/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0097 (2.0472)	Prec@1 50.000 (47.285)	Prec@5 76.500 (77.836)
Epoch: [41][7640/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.8988 (2.0471)	Prec@1 53.000 (47.286)	Prec@5 81.500 (77.836)
Epoch: [41][7650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0170 (2.0472)	Prec@1 48.000 (47.285)	Prec@5 76.000 (77.833)
Epoch: [41][7660/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0228 (2.0473)	Prec@1 46.000 (47.285)	Prec@5 80.000 (77.833)
Epoch: [41][7670/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.8961 (2.0473)	Prec@1 47.000 (47.286)	Prec@5 81.500 (77.833)
Epoch: [41][7680/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0539 (2.0473)	Prec@1 47.000 (47.283)	Prec@5 76.500 (77.833)
Epoch: [41][7690/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9335 (2.0473)	Prec@1 52.500 (47.285)	Prec@5 82.500 (77.835)
Epoch: [41][7700/9018]	Time 0.712 (0.615)	Data 0.001 (0.001)	Loss 2.1242 (2.0473)	Prec@1 44.500 (47.283)	Prec@5 76.500 (77.834)
Epoch: [41][7710/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0855 (2.0474)	Prec@1 45.500 (47.281)	Prec@5 77.000 (77.834)
Epoch: [41][7720/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9806 (2.0474)	Prec@1 47.000 (47.281)	Prec@5 81.500 (77.835)
Epoch: [41][7730/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.9726 (2.0474)	Prec@1 51.500 (47.282)	Prec@5 81.500 (77.834)
Epoch: [41][7740/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0974 (2.0475)	Prec@1 43.500 (47.281)	Prec@5 79.000 (77.833)
Epoch: [41][7750/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.0970 (2.0476)	Prec@1 45.000 (47.278)	Prec@5 78.500 (77.832)
Epoch: [41][7760/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.1551 (2.0475)	Prec@1 47.500 (47.279)	Prec@5 77.500 (77.832)
Epoch: [41][7770/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.8091 (2.0475)	Prec@1 55.500 (47.280)	Prec@5 80.500 (77.834)
Epoch: [41][7780/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.3369 (2.0475)	Prec@1 44.000 (47.281)	Prec@5 72.500 (77.833)
Epoch: [41][7790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9540 (2.0476)	Prec@1 51.500 (47.280)	Prec@5 79.000 (77.831)
Epoch: [41][7800/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3132 (2.0476)	Prec@1 43.500 (47.281)	Prec@5 73.500 (77.832)
Epoch: [41][7810/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.9808 (2.0477)	Prec@1 52.000 (47.280)	Prec@5 77.500 (77.831)
Epoch: [41][7820/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.0054 (2.0476)	Prec@1 48.500 (47.279)	Prec@5 77.000 (77.833)
Epoch: [41][7830/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9457 (2.0476)	Prec@1 49.500 (47.280)	Prec@5 81.000 (77.833)
Epoch: [41][7840/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9438 (2.0476)	Prec@1 48.000 (47.281)	Prec@5 80.000 (77.835)
Epoch: [41][7850/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0162 (2.0475)	Prec@1 49.500 (47.281)	Prec@5 80.000 (77.835)
Epoch: [41][7860/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0808 (2.0475)	Prec@1 47.500 (47.282)	Prec@5 76.000 (77.835)
Epoch: [41][7870/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1066 (2.0475)	Prec@1 44.500 (47.281)	Prec@5 77.000 (77.836)
Epoch: [41][7880/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0522 (2.0475)	Prec@1 49.500 (47.281)	Prec@5 75.500 (77.836)
Epoch: [41][7890/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.1808 (2.0475)	Prec@1 45.000 (47.282)	Prec@5 72.000 (77.836)
Epoch: [41][7900/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0884 (2.0475)	Prec@1 44.500 (47.282)	Prec@5 75.000 (77.834)
Epoch: [41][7910/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1335 (2.0476)	Prec@1 42.500 (47.280)	Prec@5 72.000 (77.832)
Epoch: [41][7920/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0716 (2.0476)	Prec@1 47.000 (47.278)	Prec@5 78.500 (77.833)
Epoch: [41][7930/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9002 (2.0476)	Prec@1 52.000 (47.277)	Prec@5 80.000 (77.832)
Epoch: [41][7940/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0207 (2.0476)	Prec@1 47.000 (47.278)	Prec@5 76.000 (77.831)
Epoch: [41][7950/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1458 (2.0477)	Prec@1 48.000 (47.277)	Prec@5 72.500 (77.829)
Epoch: [41][7960/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.1561 (2.0477)	Prec@1 42.000 (47.276)	Prec@5 74.500 (77.828)
Epoch: [41][7970/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0910 (2.0477)	Prec@1 47.500 (47.277)	Prec@5 78.000 (77.828)
Epoch: [41][7980/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9686 (2.0477)	Prec@1 53.000 (47.276)	Prec@5 75.500 (77.830)
Epoch: [41][7990/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0317 (2.0476)	Prec@1 49.000 (47.277)	Prec@5 76.000 (77.831)
Epoch: [41][8000/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2739 (2.0476)	Prec@1 42.000 (47.275)	Prec@5 72.500 (77.830)
Epoch: [41][8010/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.9766 (2.0476)	Prec@1 42.500 (47.274)	Prec@5 78.500 (77.830)
Epoch: [41][8020/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0127 (2.0476)	Prec@1 48.500 (47.275)	Prec@5 76.500 (77.830)
Epoch: [41][8030/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.0814 (2.0476)	Prec@1 45.000 (47.277)	Prec@5 81.000 (77.832)
Epoch: [41][8040/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0899 (2.0476)	Prec@1 52.500 (47.278)	Prec@5 76.000 (77.831)
Epoch: [41][8050/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9097 (2.0475)	Prec@1 50.500 (47.280)	Prec@5 77.500 (77.832)
Epoch: [41][8060/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.9489 (2.0475)	Prec@1 51.500 (47.280)	Prec@5 80.000 (77.833)
Epoch: [41][8070/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0925 (2.0475)	Prec@1 50.000 (47.280)	Prec@5 74.500 (77.832)
Epoch: [41][8080/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 1.9692 (2.0476)	Prec@1 52.000 (47.278)	Prec@5 79.000 (77.830)
Epoch: [41][8090/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1181 (2.0476)	Prec@1 50.500 (47.277)	Prec@5 77.500 (77.830)
Epoch: [41][8100/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0385 (2.0476)	Prec@1 45.500 (47.278)	Prec@5 77.000 (77.830)
Epoch: [41][8110/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0297 (2.0476)	Prec@1 46.000 (47.276)	Prec@5 77.000 (77.830)
Epoch: [41][8120/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0248 (2.0476)	Prec@1 48.000 (47.280)	Prec@5 76.000 (77.831)
Epoch: [41][8130/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1747 (2.0476)	Prec@1 50.500 (47.281)	Prec@5 76.000 (77.831)
Epoch: [41][8140/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1639 (2.0476)	Prec@1 43.500 (47.282)	Prec@5 79.000 (77.831)
Epoch: [41][8150/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9403 (2.0476)	Prec@1 48.500 (47.281)	Prec@5 81.500 (77.832)
Epoch: [41][8160/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.1833 (2.0476)	Prec@1 43.500 (47.279)	Prec@5 75.500 (77.832)
Epoch: [41][8170/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.9113 (2.0477)	Prec@1 47.000 (47.278)	Prec@5 80.500 (77.833)
Epoch: [41][8180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8867 (2.0476)	Prec@1 52.000 (47.281)	Prec@5 81.000 (77.833)
Epoch: [41][8190/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.0492 (2.0475)	Prec@1 45.500 (47.282)	Prec@5 79.500 (77.834)
Epoch: [41][8200/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.9173 (2.0475)	Prec@1 48.000 (47.281)	Prec@5 77.000 (77.834)
Epoch: [41][8210/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0541 (2.0475)	Prec@1 45.500 (47.281)	Prec@5 77.500 (77.834)
Epoch: [41][8220/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.1433 (2.0476)	Prec@1 46.000 (47.281)	Prec@5 76.000 (77.834)
Epoch: [41][8230/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.8657 (2.0476)	Prec@1 51.500 (47.281)	Prec@5 82.500 (77.834)
Epoch: [41][8240/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.9735 (2.0476)	Prec@1 50.500 (47.282)	Prec@5 79.000 (77.833)
Epoch: [41][8250/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0107 (2.0476)	Prec@1 42.000 (47.281)	Prec@5 81.000 (77.833)
Epoch: [41][8260/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9382 (2.0476)	Prec@1 48.000 (47.280)	Prec@5 79.500 (77.833)
Epoch: [41][8270/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8464 (2.0475)	Prec@1 51.000 (47.284)	Prec@5 79.000 (77.834)
Epoch: [41][8280/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.2050 (2.0476)	Prec@1 44.500 (47.282)	Prec@5 74.000 (77.833)
Epoch: [41][8290/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0694 (2.0476)	Prec@1 47.500 (47.283)	Prec@5 77.000 (77.834)
Epoch: [41][8300/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0477 (2.0476)	Prec@1 44.000 (47.281)	Prec@5 79.500 (77.833)
Epoch: [41][8310/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1450 (2.0477)	Prec@1 41.500 (47.280)	Prec@5 79.500 (77.834)
Epoch: [41][8320/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8389 (2.0476)	Prec@1 53.000 (47.281)	Prec@5 80.500 (77.834)
Epoch: [41][8330/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0705 (2.0476)	Prec@1 46.000 (47.281)	Prec@5 78.000 (77.836)
Epoch: [41][8340/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.2300 (2.0476)	Prec@1 43.000 (47.281)	Prec@5 72.000 (77.835)
Epoch: [41][8350/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1316 (2.0475)	Prec@1 45.500 (47.283)	Prec@5 77.000 (77.836)
Epoch: [41][8360/9018]	Time 0.712 (0.615)	Data 0.001 (0.001)	Loss 2.1453 (2.0475)	Prec@1 49.500 (47.283)	Prec@5 74.000 (77.835)
Epoch: [41][8370/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3033 (2.0476)	Prec@1 40.500 (47.280)	Prec@5 74.000 (77.833)
Epoch: [41][8380/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0815 (2.0476)	Prec@1 43.500 (47.279)	Prec@5 78.000 (77.831)
Epoch: [41][8390/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9410 (2.0476)	Prec@1 50.500 (47.280)	Prec@5 80.500 (77.830)
Epoch: [41][8400/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1678 (2.0477)	Prec@1 45.500 (47.280)	Prec@5 77.500 (77.829)
Epoch: [41][8410/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.1736 (2.0477)	Prec@1 44.000 (47.279)	Prec@5 77.000 (77.828)
Epoch: [41][8420/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.8608 (2.0476)	Prec@1 49.000 (47.279)	Prec@5 81.500 (77.829)
Epoch: [41][8430/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0694 (2.0477)	Prec@1 44.000 (47.277)	Prec@5 79.500 (77.828)
Epoch: [41][8440/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.1482 (2.0477)	Prec@1 46.000 (47.278)	Prec@5 78.500 (77.828)
Epoch: [41][8450/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.2857 (2.0478)	Prec@1 46.000 (47.278)	Prec@5 77.000 (77.827)
Epoch: [41][8460/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.8297 (2.0478)	Prec@1 52.000 (47.277)	Prec@5 84.500 (77.827)
Epoch: [41][8470/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0339 (2.0478)	Prec@1 48.500 (47.280)	Prec@5 78.500 (77.826)
Epoch: [41][8480/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0021 (2.0478)	Prec@1 52.000 (47.280)	Prec@5 79.000 (77.826)
Epoch: [41][8490/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0910 (2.0478)	Prec@1 43.500 (47.279)	Prec@5 78.500 (77.825)
Epoch: [41][8500/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8948 (2.0478)	Prec@1 52.500 (47.279)	Prec@5 81.500 (77.824)
Epoch: [41][8510/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.0742 (2.0478)	Prec@1 49.000 (47.282)	Prec@5 78.000 (77.824)
Epoch: [41][8520/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.1351 (2.0478)	Prec@1 45.500 (47.281)	Prec@5 74.000 (77.823)
Epoch: [41][8530/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9795 (2.0478)	Prec@1 46.500 (47.282)	Prec@5 78.500 (77.824)
Epoch: [41][8540/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9337 (2.0478)	Prec@1 50.000 (47.280)	Prec@5 79.000 (77.823)
Epoch: [41][8550/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9370 (2.0478)	Prec@1 49.000 (47.280)	Prec@5 82.000 (77.822)
Epoch: [41][8560/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0730 (2.0477)	Prec@1 46.500 (47.279)	Prec@5 76.000 (77.824)
Epoch: [41][8570/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0978 (2.0477)	Prec@1 45.500 (47.280)	Prec@5 76.000 (77.825)
Epoch: [41][8580/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.7931 (2.0477)	Prec@1 52.000 (47.280)	Prec@5 82.500 (77.824)
Epoch: [41][8590/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.7983 (2.0477)	Prec@1 50.000 (47.281)	Prec@5 85.500 (77.824)
Epoch: [41][8600/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9104 (2.0477)	Prec@1 51.500 (47.280)	Prec@5 81.000 (77.824)
Epoch: [41][8610/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1166 (2.0477)	Prec@1 50.500 (47.281)	Prec@5 74.500 (77.824)
Epoch: [41][8620/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.8571 (2.0476)	Prec@1 50.000 (47.281)	Prec@5 82.000 (77.825)
Epoch: [41][8630/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0671 (2.0477)	Prec@1 43.500 (47.281)	Prec@5 80.000 (77.825)
Epoch: [41][8640/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.5178 (2.0478)	Prec@1 40.500 (47.280)	Prec@5 71.500 (77.823)
Epoch: [41][8650/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.3879 (2.0478)	Prec@1 40.000 (47.280)	Prec@5 71.000 (77.823)
Epoch: [41][8660/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8640 (2.0478)	Prec@1 50.500 (47.280)	Prec@5 85.500 (77.824)
Epoch: [41][8670/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.0069 (2.0478)	Prec@1 44.000 (47.279)	Prec@5 80.000 (77.824)
Epoch: [41][8680/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0437 (2.0479)	Prec@1 50.000 (47.279)	Prec@5 80.000 (77.823)
Epoch: [41][8690/9018]	Time 0.756 (0.615)	Data 0.001 (0.001)	Loss 2.1242 (2.0480)	Prec@1 46.000 (47.276)	Prec@5 74.000 (77.821)
Epoch: [41][8700/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.9278 (2.0480)	Prec@1 50.000 (47.275)	Prec@5 81.000 (77.821)
Epoch: [41][8710/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1270 (2.0480)	Prec@1 42.000 (47.275)	Prec@5 78.500 (77.821)
Epoch: [41][8720/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2149 (2.0480)	Prec@1 46.000 (47.274)	Prec@5 73.500 (77.819)
Epoch: [41][8730/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9974 (2.0481)	Prec@1 50.500 (47.273)	Prec@5 78.000 (77.819)
Epoch: [41][8740/9018]	Time 0.709 (0.615)	Data 0.001 (0.001)	Loss 1.9940 (2.0481)	Prec@1 51.500 (47.273)	Prec@5 79.000 (77.818)
Epoch: [41][8750/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1409 (2.0482)	Prec@1 46.000 (47.272)	Prec@5 73.000 (77.818)
Epoch: [41][8760/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2360 (2.0481)	Prec@1 42.000 (47.274)	Prec@5 73.500 (77.818)
Epoch: [41][8770/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.0462 (2.0482)	Prec@1 45.000 (47.272)	Prec@5 79.000 (77.817)
Epoch: [41][8780/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.8665 (2.0482)	Prec@1 49.500 (47.273)	Prec@5 81.500 (77.818)
Epoch: [41][8790/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9534 (2.0481)	Prec@1 50.000 (47.273)	Prec@5 80.000 (77.820)
Epoch: [41][8800/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.7990 (2.0481)	Prec@1 54.000 (47.274)	Prec@5 81.500 (77.819)
Epoch: [41][8810/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1721 (2.0481)	Prec@1 43.500 (47.275)	Prec@5 76.500 (77.819)
Epoch: [41][8820/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9607 (2.0481)	Prec@1 50.000 (47.274)	Prec@5 83.000 (77.819)
Epoch: [41][8830/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0783 (2.0481)	Prec@1 51.000 (47.273)	Prec@5 75.000 (77.819)
Epoch: [41][8840/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.1231 (2.0481)	Prec@1 47.000 (47.274)	Prec@5 74.500 (77.820)
Epoch: [41][8850/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7827 (2.0481)	Prec@1 53.000 (47.274)	Prec@5 79.500 (77.819)
Epoch: [41][8860/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1921 (2.0481)	Prec@1 46.000 (47.273)	Prec@5 72.000 (77.820)
Epoch: [41][8870/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1109 (2.0482)	Prec@1 49.500 (47.273)	Prec@5 75.500 (77.818)
Epoch: [41][8880/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0307 (2.0483)	Prec@1 52.500 (47.271)	Prec@5 75.500 (77.815)
Epoch: [41][8890/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0530 (2.0483)	Prec@1 44.000 (47.271)	Prec@5 77.000 (77.815)
Epoch: [41][8900/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.0936 (2.0483)	Prec@1 51.500 (47.270)	Prec@5 79.500 (77.815)
Epoch: [41][8910/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2869 (2.0484)	Prec@1 47.000 (47.270)	Prec@5 73.500 (77.813)
Epoch: [41][8920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0834 (2.0484)	Prec@1 49.500 (47.272)	Prec@5 76.000 (77.813)
Epoch: [41][8930/9018]	Time 0.638 (0.615)	Data 0.003 (0.001)	Loss 2.0957 (2.0484)	Prec@1 45.500 (47.271)	Prec@5 73.000 (77.812)
Epoch: [41][8940/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.1504 (2.0484)	Prec@1 41.500 (47.270)	Prec@5 74.000 (77.812)
Epoch: [41][8950/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1819 (2.0485)	Prec@1 48.000 (47.267)	Prec@5 75.000 (77.811)
Epoch: [41][8960/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0484 (2.0486)	Prec@1 47.000 (47.266)	Prec@5 80.000 (77.810)
Epoch: [41][8970/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.0978 (2.0486)	Prec@1 44.000 (47.266)	Prec@5 79.000 (77.810)
Epoch: [41][8980/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.6617 (2.0486)	Prec@1 57.000 (47.266)	Prec@5 89.000 (77.810)
Epoch: [41][8990/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0046 (2.0485)	Prec@1 49.000 (47.268)	Prec@5 82.500 (77.813)
Epoch: [41][9000/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8628 (2.0485)	Prec@1 49.000 (47.267)	Prec@5 80.000 (77.813)
Epoch: [41][9010/9018]	Time 0.594 (0.615)	Data 0.000 (0.001)	Loss 1.9685 (2.0485)	Prec@1 50.500 (47.268)	Prec@5 82.000 (77.814)
Test: [0/183]	Time 1.340 (1.340)	Loss 2.5849 (2.5849)	Prec@1 35.500 (35.500)	Prec@5 70.000 (70.000)
Test: [10/183]	Time 0.191 (0.307)	Loss 1.7320 (1.7912)	Prec@1 59.500 (53.500)	Prec@5 83.000 (83.136)
Test: [20/183]	Time 0.200 (0.253)	Loss 2.1628 (1.7276)	Prec@1 42.000 (54.429)	Prec@5 76.500 (84.119)
Test: [30/183]	Time 0.189 (0.234)	Loss 2.6591 (1.7411)	Prec@1 25.500 (53.323)	Prec@5 70.000 (84.419)
Test: [40/183]	Time 0.180 (0.224)	Loss 1.9823 (1.7212)	Prec@1 47.000 (54.305)	Prec@5 83.000 (84.024)
Test: [50/183]	Time 0.206 (0.218)	Loss 1.6205 (1.7065)	Prec@1 56.500 (54.637)	Prec@5 87.000 (84.275)
Test: [60/183]	Time 0.202 (0.214)	Loss 2.3110 (1.7622)	Prec@1 40.500 (52.721)	Prec@5 73.000 (83.516)
Test: [70/183]	Time 0.210 (0.211)	Loss 1.9906 (1.7493)	Prec@1 42.000 (52.803)	Prec@5 81.500 (83.796)
Test: [80/183]	Time 0.203 (0.209)	Loss 1.4044 (1.7427)	Prec@1 57.500 (52.809)	Prec@5 92.500 (83.685)
Test: [90/183]	Time 0.188 (0.208)	Loss 2.2943 (1.7428)	Prec@1 40.500 (52.901)	Prec@5 76.500 (83.703)
Test: [100/183]	Time 0.192 (0.206)	Loss 0.6698 (1.7389)	Prec@1 78.000 (52.901)	Prec@5 96.000 (83.866)
Test: [110/183]	Time 0.198 (0.206)	Loss 0.8115 (1.7383)	Prec@1 77.500 (53.036)	Prec@5 97.000 (83.788)
Test: [120/183]	Time 0.190 (0.206)	Loss 2.3753 (1.7480)	Prec@1 39.000 (52.632)	Prec@5 68.000 (83.674)
Test: [130/183]	Time 0.199 (0.205)	Loss 2.9590 (1.7568)	Prec@1 16.000 (52.439)	Prec@5 69.000 (83.698)
Test: [140/183]	Time 0.193 (0.205)	Loss 1.6678 (1.7492)	Prec@1 59.000 (52.801)	Prec@5 82.500 (83.773)
Test: [150/183]	Time 0.194 (0.204)	Loss 0.6608 (1.7468)	Prec@1 82.000 (52.838)	Prec@5 97.500 (83.808)
Test: [160/183]	Time 0.185 (0.203)	Loss 1.6727 (1.7422)	Prec@1 54.000 (53.012)	Prec@5 81.500 (83.842)
Test: [170/183]	Time 0.199 (0.203)	Loss 2.4010 (1.7601)	Prec@1 32.000 (52.558)	Prec@5 75.000 (83.556)
Test: [180/183]	Time 0.186 (0.202)	Loss 2.0898 (1.7653)	Prec@1 43.000 (52.486)	Prec@5 80.500 (83.442)
 * Prec@1 52.496 Prec@5 83.449
Epoch: [42][0/9018]	Time 2.858 (2.858)	Data 2.239 (2.239)	Loss 2.1728 (2.1728)	Prec@1 44.000 (44.000)	Prec@5 76.000 (76.000)
Epoch: [42][10/9018]	Time 0.589 (0.812)	Data 0.001 (0.204)	Loss 2.0290 (2.0741)	Prec@1 48.000 (46.409)	Prec@5 81.500 (78.364)
Epoch: [42][20/9018]	Time 0.604 (0.715)	Data 0.001 (0.107)	Loss 1.8100 (2.0154)	Prec@1 51.000 (47.524)	Prec@5 82.000 (79.310)
Epoch: [42][30/9018]	Time 0.592 (0.678)	Data 0.001 (0.073)	Loss 2.0007 (2.0197)	Prec@1 49.000 (47.210)	Prec@5 79.500 (79.048)
Epoch: [42][40/9018]	Time 0.606 (0.664)	Data 0.001 (0.055)	Loss 1.8727 (2.0004)	Prec@1 55.000 (48.012)	Prec@5 80.000 (79.195)
Epoch: [42][50/9018]	Time 0.603 (0.653)	Data 0.001 (0.045)	Loss 1.9444 (2.0034)	Prec@1 48.000 (47.853)	Prec@5 80.500 (79.176)
Epoch: [42][60/9018]	Time 0.612 (0.646)	Data 0.001 (0.037)	Loss 2.1390 (2.0056)	Prec@1 48.000 (47.631)	Prec@5 78.000 (79.164)
Epoch: [42][70/9018]	Time 0.596 (0.644)	Data 0.001 (0.032)	Loss 1.8795 (2.0118)	Prec@1 54.000 (47.873)	Prec@5 78.000 (78.894)
Epoch: [42][80/9018]	Time 0.592 (0.639)	Data 0.001 (0.028)	Loss 2.0532 (2.0049)	Prec@1 46.500 (47.864)	Prec@5 79.000 (78.889)
Epoch: [42][90/9018]	Time 0.599 (0.636)	Data 0.001 (0.025)	Loss 1.9419 (2.0004)	Prec@1 43.000 (48.000)	Prec@5 81.500 (78.890)
Epoch: [42][100/9018]	Time 0.769 (0.635)	Data 0.001 (0.023)	Loss 2.2632 (2.0063)	Prec@1 41.000 (47.906)	Prec@5 73.500 (78.752)
Epoch: [42][110/9018]	Time 0.598 (0.633)	Data 0.001 (0.021)	Loss 1.9022 (2.0053)	Prec@1 50.500 (47.946)	Prec@5 80.500 (78.779)
Epoch: [42][120/9018]	Time 0.633 (0.632)	Data 0.001 (0.019)	Loss 1.8994 (2.0013)	Prec@1 47.000 (47.909)	Prec@5 82.000 (78.930)
Epoch: [42][130/9018]	Time 0.604 (0.630)	Data 0.001 (0.018)	Loss 1.8163 (1.9952)	Prec@1 50.000 (48.111)	Prec@5 81.500 (79.004)
Epoch: [42][140/9018]	Time 0.593 (0.629)	Data 0.001 (0.017)	Loss 2.1427 (1.9962)	Prec@1 47.500 (48.131)	Prec@5 78.000 (78.968)
Epoch: [42][150/9018]	Time 0.716 (0.628)	Data 0.001 (0.016)	Loss 1.9215 (1.9987)	Prec@1 50.500 (48.146)	Prec@5 81.500 (78.940)
Epoch: [42][160/9018]	Time 0.606 (0.626)	Data 0.001 (0.015)	Loss 1.7805 (2.0027)	Prec@1 55.000 (48.071)	Prec@5 80.000 (78.823)
Epoch: [42][170/9018]	Time 0.622 (0.627)	Data 0.001 (0.014)	Loss 2.0720 (2.0010)	Prec@1 45.000 (48.123)	Prec@5 78.000 (78.801)
Epoch: [42][180/9018]	Time 0.603 (0.626)	Data 0.001 (0.013)	Loss 1.8928 (2.0007)	Prec@1 55.500 (48.058)	Prec@5 80.500 (78.848)
Epoch: [42][190/9018]	Time 0.603 (0.626)	Data 0.001 (0.012)	Loss 1.8103 (1.9998)	Prec@1 49.000 (48.089)	Prec@5 85.500 (78.835)
Epoch: [42][200/9018]	Time 0.622 (0.626)	Data 0.001 (0.012)	Loss 1.9167 (1.9981)	Prec@1 49.000 (48.157)	Prec@5 79.500 (78.881)
Epoch: [42][210/9018]	Time 0.623 (0.625)	Data 0.001 (0.011)	Loss 1.8519 (1.9968)	Prec@1 49.500 (48.154)	Prec@5 83.500 (78.941)
Epoch: [42][220/9018]	Time 0.598 (0.625)	Data 0.001 (0.011)	Loss 2.0323 (1.9988)	Prec@1 45.500 (48.100)	Prec@5 79.000 (78.919)
Epoch: [42][230/9018]	Time 0.601 (0.625)	Data 0.001 (0.010)	Loss 1.9002 (1.9995)	Prec@1 54.500 (48.074)	Prec@5 79.500 (78.913)
Epoch: [42][240/9018]	Time 0.601 (0.624)	Data 0.001 (0.010)	Loss 1.9791 (2.0022)	Prec@1 52.500 (48.060)	Prec@5 80.000 (78.824)
Epoch: [42][250/9018]	Time 0.600 (0.624)	Data 0.001 (0.010)	Loss 2.0546 (2.0049)	Prec@1 46.500 (48.016)	Prec@5 77.500 (78.793)
Epoch: [42][260/9018]	Time 0.623 (0.623)	Data 0.001 (0.009)	Loss 2.0447 (2.0067)	Prec@1 45.000 (47.916)	Prec@5 78.000 (78.764)
Epoch: [42][270/9018]	Time 0.595 (0.623)	Data 0.001 (0.009)	Loss 1.9242 (2.0075)	Prec@1 50.000 (47.887)	Prec@5 81.500 (78.755)
Epoch: [42][280/9018]	Time 0.627 (0.623)	Data 0.001 (0.009)	Loss 1.9526 (2.0083)	Prec@1 47.000 (47.886)	Prec@5 81.500 (78.717)
Epoch: [42][290/9018]	Time 0.618 (0.622)	Data 0.001 (0.008)	Loss 2.0307 (2.0071)	Prec@1 49.500 (47.897)	Prec@5 77.500 (78.720)
Epoch: [42][300/9018]	Time 0.593 (0.623)	Data 0.001 (0.008)	Loss 1.9651 (2.0079)	Prec@1 47.000 (47.887)	Prec@5 81.000 (78.738)
Epoch: [42][310/9018]	Time 0.601 (0.622)	Data 0.001 (0.008)	Loss 2.0524 (2.0075)	Prec@1 46.000 (47.879)	Prec@5 76.500 (78.752)
Epoch: [42][320/9018]	Time 0.601 (0.622)	Data 0.001 (0.008)	Loss 2.1205 (2.0089)	Prec@1 46.000 (47.874)	Prec@5 77.500 (78.712)
Epoch: [42][330/9018]	Time 0.638 (0.622)	Data 0.001 (0.008)	Loss 2.1264 (2.0062)	Prec@1 49.000 (47.929)	Prec@5 78.500 (78.752)
Epoch: [42][340/9018]	Time 0.626 (0.622)	Data 0.001 (0.007)	Loss 2.2703 (2.0083)	Prec@1 43.000 (47.897)	Prec@5 73.500 (78.699)
Epoch: [42][350/9018]	Time 0.609 (0.622)	Data 0.001 (0.007)	Loss 2.2081 (2.0088)	Prec@1 45.500 (47.876)	Prec@5 76.500 (78.692)
Epoch: [42][360/9018]	Time 0.602 (0.621)	Data 0.001 (0.007)	Loss 2.1733 (2.0096)	Prec@1 42.500 (47.863)	Prec@5 77.000 (78.683)
Epoch: [42][370/9018]	Time 0.603 (0.621)	Data 0.001 (0.007)	Loss 2.0617 (2.0095)	Prec@1 52.000 (47.877)	Prec@5 76.000 (78.675)
Epoch: [42][380/9018]	Time 0.609 (0.621)	Data 0.001 (0.007)	Loss 2.1354 (2.0106)	Prec@1 46.000 (47.862)	Prec@5 73.000 (78.623)
Epoch: [42][390/9018]	Time 0.597 (0.621)	Data 0.001 (0.006)	Loss 2.0221 (2.0098)	Prec@1 50.500 (47.876)	Prec@5 76.500 (78.642)
Epoch: [42][400/9018]	Time 0.598 (0.621)	Data 0.001 (0.006)	Loss 1.8983 (2.0104)	Prec@1 49.500 (47.880)	Prec@5 80.000 (78.632)
Epoch: [42][410/9018]	Time 0.593 (0.621)	Data 0.001 (0.006)	Loss 1.9463 (2.0106)	Prec@1 48.000 (47.872)	Prec@5 79.000 (78.602)
Epoch: [42][420/9018]	Time 0.602 (0.621)	Data 0.001 (0.006)	Loss 2.0527 (2.0091)	Prec@1 48.500 (47.937)	Prec@5 75.500 (78.615)
Epoch: [42][430/9018]	Time 0.745 (0.621)	Data 0.001 (0.006)	Loss 2.1951 (2.0112)	Prec@1 42.500 (47.889)	Prec@5 75.500 (78.563)
Epoch: [42][440/9018]	Time 0.632 (0.621)	Data 0.001 (0.006)	Loss 2.0212 (2.0105)	Prec@1 48.500 (47.906)	Prec@5 78.500 (78.573)
Epoch: [42][450/9018]	Time 0.597 (0.621)	Data 0.001 (0.006)	Loss 2.1010 (2.0114)	Prec@1 46.000 (47.889)	Prec@5 78.000 (78.548)
Epoch: [42][460/9018]	Time 0.602 (0.620)	Data 0.001 (0.006)	Loss 1.8671 (2.0118)	Prec@1 49.500 (47.888)	Prec@5 81.500 (78.527)
Epoch: [42][470/9018]	Time 0.596 (0.620)	Data 0.001 (0.006)	Loss 2.1205 (2.0111)	Prec@1 47.000 (47.916)	Prec@5 76.500 (78.542)
Epoch: [42][480/9018]	Time 0.717 (0.620)	Data 0.001 (0.005)	Loss 2.1068 (2.0122)	Prec@1 46.000 (47.885)	Prec@5 75.500 (78.512)
Epoch: [42][490/9018]	Time 0.599 (0.620)	Data 0.001 (0.005)	Loss 2.2007 (2.0123)	Prec@1 45.500 (47.869)	Prec@5 73.500 (78.508)
Epoch: [42][500/9018]	Time 0.601 (0.620)	Data 0.001 (0.005)	Loss 1.9835 (2.0129)	Prec@1 48.500 (47.836)	Prec@5 79.500 (78.499)
Epoch: [42][510/9018]	Time 0.599 (0.620)	Data 0.001 (0.005)	Loss 1.9472 (2.0117)	Prec@1 49.000 (47.863)	Prec@5 76.000 (78.521)
Epoch: [42][520/9018]	Time 0.599 (0.620)	Data 0.001 (0.005)	Loss 1.7921 (2.0106)	Prec@1 56.500 (47.914)	Prec@5 81.500 (78.543)
Epoch: [42][530/9018]	Time 0.630 (0.620)	Data 0.001 (0.005)	Loss 2.1149 (2.0095)	Prec@1 48.500 (47.930)	Prec@5 77.500 (78.558)
Epoch: [42][540/9018]	Time 0.595 (0.620)	Data 0.001 (0.005)	Loss 1.7521 (2.0093)	Prec@1 53.000 (47.932)	Prec@5 83.000 (78.571)
Epoch: [42][550/9018]	Time 0.593 (0.619)	Data 0.001 (0.005)	Loss 1.7814 (2.0085)	Prec@1 54.000 (47.962)	Prec@5 81.500 (78.572)
Epoch: [42][560/9018]	Time 0.614 (0.619)	Data 0.001 (0.005)	Loss 2.0200 (2.0081)	Prec@1 51.000 (47.964)	Prec@5 78.000 (78.564)
Epoch: [42][570/9018]	Time 0.627 (0.619)	Data 0.001 (0.005)	Loss 2.1441 (2.0084)	Prec@1 44.500 (47.953)	Prec@5 80.000 (78.566)
Epoch: [42][580/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 2.1906 (2.0095)	Prec@1 45.500 (47.942)	Prec@5 75.000 (78.555)
Epoch: [42][590/9018]	Time 0.611 (0.619)	Data 0.001 (0.005)	Loss 1.9301 (2.0098)	Prec@1 53.000 (47.937)	Prec@5 78.000 (78.554)
Epoch: [42][600/9018]	Time 0.599 (0.619)	Data 0.001 (0.004)	Loss 1.9579 (2.0095)	Prec@1 47.500 (47.939)	Prec@5 83.000 (78.584)
Epoch: [42][610/9018]	Time 0.628 (0.619)	Data 0.001 (0.004)	Loss 2.0562 (2.0092)	Prec@1 52.500 (47.953)	Prec@5 78.000 (78.588)
Epoch: [42][620/9018]	Time 0.598 (0.619)	Data 0.001 (0.004)	Loss 2.0787 (2.0101)	Prec@1 48.000 (47.920)	Prec@5 76.000 (78.581)
Epoch: [42][630/9018]	Time 0.605 (0.619)	Data 0.001 (0.004)	Loss 1.9465 (2.0107)	Prec@1 48.000 (47.880)	Prec@5 80.000 (78.567)
Epoch: [42][640/9018]	Time 0.611 (0.619)	Data 0.001 (0.004)	Loss 2.1188 (2.0106)	Prec@1 44.000 (47.883)	Prec@5 76.000 (78.564)
Epoch: [42][650/9018]	Time 0.610 (0.619)	Data 0.001 (0.004)	Loss 2.0335 (2.0106)	Prec@1 49.000 (47.899)	Prec@5 76.500 (78.569)
Epoch: [42][660/9018]	Time 0.594 (0.619)	Data 0.001 (0.004)	Loss 1.9629 (2.0111)	Prec@1 52.500 (47.882)	Prec@5 80.500 (78.561)
Epoch: [42][670/9018]	Time 0.601 (0.619)	Data 0.001 (0.004)	Loss 1.9331 (2.0114)	Prec@1 49.000 (47.896)	Prec@5 81.000 (78.537)
Epoch: [42][680/9018]	Time 0.598 (0.619)	Data 0.001 (0.004)	Loss 2.1960 (2.0119)	Prec@1 45.000 (47.875)	Prec@5 75.500 (78.522)
Epoch: [42][690/9018]	Time 0.636 (0.619)	Data 0.001 (0.004)	Loss 2.0026 (2.0124)	Prec@1 51.000 (47.878)	Prec@5 81.500 (78.506)
Epoch: [42][700/9018]	Time 0.599 (0.619)	Data 0.001 (0.004)	Loss 2.1321 (2.0124)	Prec@1 47.000 (47.898)	Prec@5 76.000 (78.500)
Epoch: [42][710/9018]	Time 0.635 (0.618)	Data 0.001 (0.004)	Loss 2.2288 (2.0124)	Prec@1 42.500 (47.899)	Prec@5 77.000 (78.502)
Epoch: [42][720/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 2.0090 (2.0119)	Prec@1 45.500 (47.887)	Prec@5 77.500 (78.512)
Epoch: [42][730/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 1.8770 (2.0111)	Prec@1 51.000 (47.897)	Prec@5 79.500 (78.533)
Epoch: [42][740/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 1.9299 (2.0115)	Prec@1 51.000 (47.885)	Prec@5 80.500 (78.518)
Epoch: [42][750/9018]	Time 0.619 (0.618)	Data 0.001 (0.004)	Loss 2.0282 (2.0123)	Prec@1 49.500 (47.883)	Prec@5 75.500 (78.501)
Epoch: [42][760/9018]	Time 0.758 (0.618)	Data 0.001 (0.004)	Loss 1.8806 (2.0125)	Prec@1 50.500 (47.897)	Prec@5 82.000 (78.506)
Epoch: [42][770/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.1314 (2.0132)	Prec@1 46.500 (47.888)	Prec@5 79.000 (78.487)
Epoch: [42][780/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 2.1585 (2.0128)	Prec@1 47.000 (47.908)	Prec@5 75.500 (78.490)
Epoch: [42][790/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 1.9671 (2.0135)	Prec@1 45.500 (47.896)	Prec@5 78.000 (78.468)
Epoch: [42][800/9018]	Time 0.611 (0.618)	Data 0.001 (0.004)	Loss 2.2707 (2.0146)	Prec@1 42.500 (47.875)	Prec@5 74.000 (78.452)
Epoch: [42][810/9018]	Time 0.726 (0.618)	Data 0.001 (0.004)	Loss 1.9354 (2.0150)	Prec@1 49.000 (47.871)	Prec@5 78.500 (78.436)
Epoch: [42][820/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 2.1141 (2.0157)	Prec@1 47.000 (47.869)	Prec@5 77.000 (78.429)
Epoch: [42][830/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 2.1571 (2.0159)	Prec@1 45.000 (47.865)	Prec@5 76.500 (78.436)
Epoch: [42][840/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 1.8313 (2.0159)	Prec@1 49.500 (47.852)	Prec@5 81.500 (78.443)
Epoch: [42][850/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 2.2072 (2.0160)	Prec@1 41.000 (47.854)	Prec@5 76.500 (78.441)
Epoch: [42][860/9018]	Time 0.628 (0.618)	Data 0.001 (0.003)	Loss 1.9891 (2.0167)	Prec@1 50.000 (47.846)	Prec@5 78.000 (78.426)
Epoch: [42][870/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 2.0027 (2.0173)	Prec@1 47.500 (47.839)	Prec@5 80.000 (78.416)
Epoch: [42][880/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 2.0584 (2.0178)	Prec@1 45.000 (47.823)	Prec@5 77.000 (78.393)
Epoch: [42][890/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.9362 (2.0184)	Prec@1 53.000 (47.825)	Prec@5 81.000 (78.382)
Epoch: [42][900/9018]	Time 0.632 (0.618)	Data 0.001 (0.003)	Loss 2.0164 (2.0179)	Prec@1 48.000 (47.833)	Prec@5 78.000 (78.387)
Epoch: [42][910/9018]	Time 0.632 (0.618)	Data 0.001 (0.003)	Loss 1.9115 (2.0178)	Prec@1 49.000 (47.823)	Prec@5 81.500 (78.395)
Epoch: [42][920/9018]	Time 0.622 (0.618)	Data 0.001 (0.003)	Loss 1.9676 (2.0181)	Prec@1 51.000 (47.826)	Prec@5 77.000 (78.392)
Epoch: [42][930/9018]	Time 0.633 (0.618)	Data 0.001 (0.003)	Loss 2.1004 (2.0184)	Prec@1 42.000 (47.825)	Prec@5 81.500 (78.398)
Epoch: [42][940/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 2.0553 (2.0184)	Prec@1 50.000 (47.834)	Prec@5 77.000 (78.398)
Epoch: [42][950/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.8549 (2.0193)	Prec@1 52.500 (47.825)	Prec@5 80.000 (78.381)
Epoch: [42][960/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.9992 (2.0189)	Prec@1 48.000 (47.824)	Prec@5 76.500 (78.384)
Epoch: [42][970/9018]	Time 0.623 (0.618)	Data 0.001 (0.003)	Loss 2.3263 (2.0193)	Prec@1 44.000 (47.825)	Prec@5 73.000 (78.379)
Epoch: [42][980/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 2.1019 (2.0190)	Prec@1 45.500 (47.821)	Prec@5 79.000 (78.380)
Epoch: [42][990/9018]	Time 0.629 (0.618)	Data 0.001 (0.003)	Loss 2.1187 (2.0187)	Prec@1 49.500 (47.831)	Prec@5 76.000 (78.384)
Epoch: [42][1000/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 2.1720 (2.0192)	Prec@1 40.000 (47.825)	Prec@5 76.000 (78.373)
Epoch: [42][1010/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.9378 (2.0193)	Prec@1 51.000 (47.838)	Prec@5 79.000 (78.368)
Epoch: [42][1020/9018]	Time 0.638 (0.617)	Data 0.001 (0.003)	Loss 1.9961 (2.0192)	Prec@1 45.500 (47.834)	Prec@5 77.500 (78.367)
Epoch: [42][1030/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 1.9796 (2.0197)	Prec@1 47.500 (47.811)	Prec@5 79.500 (78.367)
Epoch: [42][1040/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 2.0934 (2.0194)	Prec@1 49.000 (47.826)	Prec@5 78.500 (78.374)
Epoch: [42][1050/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.2377 (2.0196)	Prec@1 43.500 (47.820)	Prec@5 73.500 (78.368)
Epoch: [42][1060/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 1.9576 (2.0193)	Prec@1 51.500 (47.828)	Prec@5 79.500 (78.381)
Epoch: [42][1070/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.9060 (2.0193)	Prec@1 51.000 (47.817)	Prec@5 79.500 (78.379)
Epoch: [42][1080/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 1.9041 (2.0195)	Prec@1 53.500 (47.822)	Prec@5 81.500 (78.370)
Epoch: [42][1090/9018]	Time 0.742 (0.617)	Data 0.001 (0.003)	Loss 2.1390 (2.0192)	Prec@1 44.500 (47.828)	Prec@5 77.500 (78.375)
Epoch: [42][1100/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.0768 (2.0194)	Prec@1 49.000 (47.830)	Prec@5 76.500 (78.371)
Epoch: [42][1110/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.9429 (2.0195)	Prec@1 51.500 (47.829)	Prec@5 78.500 (78.363)
Epoch: [42][1120/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 1.9914 (2.0197)	Prec@1 45.000 (47.818)	Prec@5 80.000 (78.350)
Epoch: [42][1130/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.0734 (2.0197)	Prec@1 45.500 (47.815)	Prec@5 76.000 (78.350)
Epoch: [42][1140/9018]	Time 0.740 (0.617)	Data 0.001 (0.003)	Loss 1.8917 (2.0198)	Prec@1 53.500 (47.815)	Prec@5 82.000 (78.348)
Epoch: [42][1150/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 2.1003 (2.0200)	Prec@1 44.000 (47.807)	Prec@5 76.500 (78.337)
Epoch: [42][1160/9018]	Time 0.590 (0.617)	Data 0.001 (0.003)	Loss 1.9334 (2.0195)	Prec@1 48.000 (47.808)	Prec@5 83.500 (78.349)
Epoch: [42][1170/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.9577 (2.0194)	Prec@1 48.000 (47.802)	Prec@5 79.000 (78.351)
Epoch: [42][1180/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 1.9280 (2.0190)	Prec@1 50.500 (47.829)	Prec@5 80.500 (78.359)
Epoch: [42][1190/9018]	Time 0.592 (0.617)	Data 0.001 (0.003)	Loss 1.8062 (2.0184)	Prec@1 59.000 (47.843)	Prec@5 79.000 (78.375)
Epoch: [42][1200/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.7579 (2.0186)	Prec@1 50.000 (47.841)	Prec@5 84.500 (78.376)
Epoch: [42][1210/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.0902 (2.0186)	Prec@1 41.500 (47.825)	Prec@5 78.000 (78.374)
Epoch: [42][1220/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.8388 (2.0185)	Prec@1 51.000 (47.823)	Prec@5 83.000 (78.363)
Epoch: [42][1230/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.1318 (2.0192)	Prec@1 45.500 (47.833)	Prec@5 73.500 (78.343)
Epoch: [42][1240/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 2.0811 (2.0199)	Prec@1 48.000 (47.821)	Prec@5 75.000 (78.328)
Epoch: [42][1250/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.8705 (2.0196)	Prec@1 49.000 (47.826)	Prec@5 81.500 (78.329)
Epoch: [42][1260/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 2.1107 (2.0202)	Prec@1 43.500 (47.805)	Prec@5 79.000 (78.319)
Epoch: [42][1270/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.8493 (2.0206)	Prec@1 50.000 (47.798)	Prec@5 84.000 (78.315)
Epoch: [42][1280/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 1.9724 (2.0206)	Prec@1 53.000 (47.804)	Prec@5 81.000 (78.310)
Epoch: [42][1290/9018]	Time 0.633 (0.617)	Data 0.001 (0.003)	Loss 2.1286 (2.0207)	Prec@1 43.500 (47.801)	Prec@5 78.000 (78.314)
Epoch: [42][1300/9018]	Time 0.631 (0.617)	Data 0.001 (0.002)	Loss 2.0448 (2.0208)	Prec@1 45.000 (47.799)	Prec@5 74.000 (78.310)
Epoch: [42][1310/9018]	Time 0.615 (0.617)	Data 0.001 (0.002)	Loss 1.9484 (2.0208)	Prec@1 53.000 (47.801)	Prec@5 79.000 (78.312)
Epoch: [42][1320/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.2653 (2.0204)	Prec@1 42.000 (47.810)	Prec@5 76.500 (78.321)
Epoch: [42][1330/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 1.9484 (2.0208)	Prec@1 45.500 (47.802)	Prec@5 80.500 (78.314)
Epoch: [42][1340/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.1182 (2.0212)	Prec@1 44.500 (47.792)	Prec@5 76.000 (78.302)
Epoch: [42][1350/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 1.8640 (2.0210)	Prec@1 48.500 (47.796)	Prec@5 82.500 (78.302)
Epoch: [42][1360/9018]	Time 0.651 (0.617)	Data 0.001 (0.002)	Loss 2.2123 (2.0213)	Prec@1 47.500 (47.785)	Prec@5 78.000 (78.296)
Epoch: [42][1370/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.2084 (2.0214)	Prec@1 41.500 (47.782)	Prec@5 75.500 (78.292)
Epoch: [42][1380/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 2.1032 (2.0210)	Prec@1 43.500 (47.785)	Prec@5 76.500 (78.298)
Epoch: [42][1390/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 1.8029 (2.0209)	Prec@1 52.500 (47.782)	Prec@5 82.000 (78.291)
Epoch: [42][1400/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 1.8276 (2.0206)	Prec@1 52.500 (47.796)	Prec@5 85.500 (78.297)
Epoch: [42][1410/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 1.9385 (2.0199)	Prec@1 50.500 (47.811)	Prec@5 80.000 (78.307)
Epoch: [42][1420/9018]	Time 0.769 (0.617)	Data 0.001 (0.002)	Loss 1.9941 (2.0197)	Prec@1 50.000 (47.817)	Prec@5 77.000 (78.306)
Epoch: [42][1430/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.9826 (2.0197)	Prec@1 51.000 (47.809)	Prec@5 81.000 (78.314)
Epoch: [42][1440/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.0117 (2.0200)	Prec@1 47.500 (47.807)	Prec@5 78.000 (78.311)
Epoch: [42][1450/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.0007 (2.0198)	Prec@1 50.000 (47.820)	Prec@5 80.500 (78.319)
Epoch: [42][1460/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 1.8529 (2.0194)	Prec@1 48.500 (47.830)	Prec@5 83.000 (78.327)
Epoch: [42][1470/9018]	Time 0.706 (0.617)	Data 0.001 (0.002)	Loss 1.7436 (2.0193)	Prec@1 59.500 (47.832)	Prec@5 83.500 (78.326)
Epoch: [42][1480/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.1319 (2.0202)	Prec@1 43.500 (47.805)	Prec@5 79.500 (78.319)
Epoch: [42][1490/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 1.8756 (2.0203)	Prec@1 51.000 (47.805)	Prec@5 81.500 (78.316)
Epoch: [42][1500/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 2.0092 (2.0204)	Prec@1 46.000 (47.803)	Prec@5 77.000 (78.309)
Epoch: [42][1510/9018]	Time 0.621 (0.617)	Data 0.001 (0.002)	Loss 2.1537 (2.0204)	Prec@1 40.000 (47.799)	Prec@5 75.000 (78.303)
Epoch: [42][1520/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.1087 (2.0207)	Prec@1 46.000 (47.786)	Prec@5 82.000 (78.307)
Epoch: [42][1530/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 1.9952 (2.0209)	Prec@1 46.000 (47.782)	Prec@5 78.000 (78.299)
Epoch: [42][1540/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.9983 (2.0209)	Prec@1 47.500 (47.786)	Prec@5 80.000 (78.298)
Epoch: [42][1550/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 1.8732 (2.0210)	Prec@1 51.500 (47.783)	Prec@5 81.500 (78.299)
Epoch: [42][1560/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.1736 (2.0212)	Prec@1 44.000 (47.775)	Prec@5 77.000 (78.288)
Epoch: [42][1570/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.9680 (2.0212)	Prec@1 53.000 (47.784)	Prec@5 77.500 (78.287)
Epoch: [42][1580/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.1675 (2.0214)	Prec@1 49.500 (47.778)	Prec@5 71.500 (78.281)
Epoch: [42][1590/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.1107 (2.0217)	Prec@1 50.500 (47.770)	Prec@5 77.000 (78.276)
Epoch: [42][1600/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.2987 (2.0215)	Prec@1 42.500 (47.778)	Prec@5 72.500 (78.274)
Epoch: [42][1610/9018]	Time 0.615 (0.617)	Data 0.001 (0.002)	Loss 2.0972 (2.0213)	Prec@1 45.000 (47.777)	Prec@5 75.500 (78.275)
Epoch: [42][1620/9018]	Time 0.631 (0.617)	Data 0.001 (0.002)	Loss 1.9091 (2.0216)	Prec@1 50.000 (47.780)	Prec@5 80.000 (78.271)
Epoch: [42][1630/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 1.8714 (2.0215)	Prec@1 54.500 (47.787)	Prec@5 81.000 (78.270)
Epoch: [42][1640/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 1.8246 (2.0214)	Prec@1 48.000 (47.789)	Prec@5 84.500 (78.275)
Epoch: [42][1650/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.0572 (2.0217)	Prec@1 42.000 (47.787)	Prec@5 78.500 (78.272)
Epoch: [42][1660/9018]	Time 0.609 (0.617)	Data 0.001 (0.002)	Loss 1.8902 (2.0219)	Prec@1 50.500 (47.778)	Prec@5 80.500 (78.267)
Epoch: [42][1670/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.0384 (2.0221)	Prec@1 47.500 (47.773)	Prec@5 76.000 (78.266)
Epoch: [42][1680/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.1450 (2.0223)	Prec@1 45.000 (47.776)	Prec@5 77.000 (78.261)
Epoch: [42][1690/9018]	Time 0.621 (0.617)	Data 0.001 (0.002)	Loss 2.2669 (2.0226)	Prec@1 45.500 (47.765)	Prec@5 70.500 (78.256)
Epoch: [42][1700/9018]	Time 0.614 (0.617)	Data 0.001 (0.002)	Loss 2.0219 (2.0223)	Prec@1 47.000 (47.770)	Prec@5 80.000 (78.264)
Epoch: [42][1710/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.1373 (2.0224)	Prec@1 48.000 (47.767)	Prec@5 76.000 (78.262)
Epoch: [42][1720/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 2.0247 (2.0224)	Prec@1 49.500 (47.763)	Prec@5 78.000 (78.256)
Epoch: [42][1730/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.1488 (2.0225)	Prec@1 45.500 (47.769)	Prec@5 74.000 (78.248)
Epoch: [42][1740/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.0580 (2.0229)	Prec@1 50.500 (47.761)	Prec@5 77.500 (78.246)
Epoch: [42][1750/9018]	Time 0.748 (0.617)	Data 0.001 (0.002)	Loss 1.8956 (2.0229)	Prec@1 49.500 (47.754)	Prec@5 82.500 (78.249)
Epoch: [42][1760/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 1.9540 (2.0230)	Prec@1 52.000 (47.754)	Prec@5 80.000 (78.252)
Epoch: [42][1770/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.9915 (2.0232)	Prec@1 47.000 (47.752)	Prec@5 80.000 (78.250)
Epoch: [42][1780/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 1.8929 (2.0234)	Prec@1 49.500 (47.755)	Prec@5 81.000 (78.244)
Epoch: [42][1790/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 1.9680 (2.0234)	Prec@1 48.000 (47.755)	Prec@5 80.500 (78.248)
Epoch: [42][1800/9018]	Time 0.738 (0.617)	Data 0.001 (0.002)	Loss 2.1031 (2.0233)	Prec@1 47.500 (47.757)	Prec@5 78.000 (78.248)
Epoch: [42][1810/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 1.8962 (2.0233)	Prec@1 51.500 (47.765)	Prec@5 79.500 (78.249)
Epoch: [42][1820/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 1.9130 (2.0230)	Prec@1 51.000 (47.770)	Prec@5 81.000 (78.254)
Epoch: [42][1830/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 1.8507 (2.0229)	Prec@1 54.000 (47.778)	Prec@5 83.000 (78.261)
Epoch: [42][1840/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 1.9109 (2.0232)	Prec@1 48.000 (47.773)	Prec@5 81.500 (78.254)
Epoch: [42][1850/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 1.9205 (2.0231)	Prec@1 45.500 (47.772)	Prec@5 81.500 (78.259)
Epoch: [42][1860/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 1.8419 (2.0229)	Prec@1 51.000 (47.781)	Prec@5 78.500 (78.260)
Epoch: [42][1870/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.0380 (2.0227)	Prec@1 48.000 (47.785)	Prec@5 77.000 (78.266)
Epoch: [42][1880/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 1.9491 (2.0226)	Prec@1 49.000 (47.788)	Prec@5 80.000 (78.267)
Epoch: [42][1890/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.1166 (2.0228)	Prec@1 45.500 (47.783)	Prec@5 78.000 (78.267)
Epoch: [42][1900/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.0373 (2.0230)	Prec@1 46.500 (47.775)	Prec@5 78.000 (78.263)
Epoch: [42][1910/9018]	Time 0.589 (0.617)	Data 0.001 (0.002)	Loss 1.9386 (2.0231)	Prec@1 49.000 (47.771)	Prec@5 79.000 (78.261)
Epoch: [42][1920/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 1.9777 (2.0230)	Prec@1 48.000 (47.773)	Prec@5 74.000 (78.260)
Epoch: [42][1930/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.9940 (2.0233)	Prec@1 49.000 (47.773)	Prec@5 78.500 (78.256)
Epoch: [42][1940/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.0548 (2.0235)	Prec@1 44.500 (47.767)	Prec@5 79.000 (78.255)
Epoch: [42][1950/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.1798 (2.0236)	Prec@1 45.500 (47.769)	Prec@5 76.000 (78.250)
Epoch: [42][1960/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 2.0162 (2.0239)	Prec@1 50.000 (47.763)	Prec@5 79.000 (78.241)
Epoch: [42][1970/9018]	Time 0.626 (0.617)	Data 0.001 (0.002)	Loss 2.0005 (2.0239)	Prec@1 46.000 (47.757)	Prec@5 82.000 (78.241)
Epoch: [42][1980/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.8715 (2.0242)	Prec@1 47.000 (47.746)	Prec@5 82.000 (78.236)
Epoch: [42][1990/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.9972 (2.0241)	Prec@1 48.500 (47.751)	Prec@5 84.000 (78.240)
Epoch: [42][2000/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.1063 (2.0243)	Prec@1 44.000 (47.741)	Prec@5 78.500 (78.235)
Epoch: [42][2010/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.1682 (2.0242)	Prec@1 46.000 (47.745)	Prec@5 72.500 (78.231)
Epoch: [42][2020/9018]	Time 0.626 (0.617)	Data 0.001 (0.002)	Loss 1.9394 (2.0241)	Prec@1 48.500 (47.751)	Prec@5 80.500 (78.231)
Epoch: [42][2030/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.2105 (2.0240)	Prec@1 43.000 (47.753)	Prec@5 69.500 (78.233)
Epoch: [42][2040/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.0290 (2.0246)	Prec@1 43.000 (47.733)	Prec@5 77.500 (78.222)
Epoch: [42][2050/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9101 (2.0245)	Prec@1 47.000 (47.730)	Prec@5 81.000 (78.223)
Epoch: [42][2060/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.8345 (2.0243)	Prec@1 53.000 (47.738)	Prec@5 79.000 (78.223)
Epoch: [42][2070/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.1375 (2.0242)	Prec@1 43.000 (47.741)	Prec@5 80.000 (78.226)
Epoch: [42][2080/9018]	Time 0.720 (0.616)	Data 0.001 (0.002)	Loss 2.2116 (2.0242)	Prec@1 41.000 (47.740)	Prec@5 79.000 (78.228)
Epoch: [42][2090/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.8204 (2.0245)	Prec@1 50.000 (47.729)	Prec@5 85.000 (78.224)
Epoch: [42][2100/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.7856 (2.0246)	Prec@1 55.000 (47.729)	Prec@5 82.000 (78.219)
Epoch: [42][2110/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.8399 (2.0246)	Prec@1 49.000 (47.725)	Prec@5 83.000 (78.224)
Epoch: [42][2120/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.2244 (2.0249)	Prec@1 43.000 (47.719)	Prec@5 78.000 (78.226)
Epoch: [42][2130/9018]	Time 0.739 (0.616)	Data 0.001 (0.002)	Loss 1.7915 (2.0246)	Prec@1 54.000 (47.729)	Prec@5 81.000 (78.230)
Epoch: [42][2140/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.1430 (2.0245)	Prec@1 49.500 (47.726)	Prec@5 77.000 (78.234)
Epoch: [42][2150/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.9191 (2.0245)	Prec@1 51.500 (47.729)	Prec@5 81.500 (78.237)
Epoch: [42][2160/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.0164 (2.0243)	Prec@1 45.000 (47.734)	Prec@5 77.000 (78.239)
Epoch: [42][2170/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1618 (2.0244)	Prec@1 48.000 (47.731)	Prec@5 78.500 (78.234)
Epoch: [42][2180/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.8318 (2.0245)	Prec@1 50.500 (47.728)	Prec@5 81.000 (78.231)
Epoch: [42][2190/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.8734 (2.0245)	Prec@1 53.500 (47.728)	Prec@5 81.000 (78.234)
Epoch: [42][2200/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.2578 (2.0245)	Prec@1 46.000 (47.728)	Prec@5 75.500 (78.236)
Epoch: [42][2210/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.0383 (2.0245)	Prec@1 47.000 (47.728)	Prec@5 79.000 (78.231)
Epoch: [42][2220/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.0297 (2.0246)	Prec@1 43.500 (47.722)	Prec@5 76.000 (78.231)
Epoch: [42][2230/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9966 (2.0248)	Prec@1 49.000 (47.716)	Prec@5 75.000 (78.229)
Epoch: [42][2240/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0883 (2.0248)	Prec@1 44.000 (47.718)	Prec@5 77.500 (78.227)
Epoch: [42][2250/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0275 (2.0248)	Prec@1 48.500 (47.723)	Prec@5 79.000 (78.225)
Epoch: [42][2260/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.1271 (2.0249)	Prec@1 46.500 (47.721)	Prec@5 74.500 (78.220)
Epoch: [42][2270/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.0687 (2.0248)	Prec@1 51.500 (47.725)	Prec@5 75.500 (78.220)
Epoch: [42][2280/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0526 (2.0249)	Prec@1 47.000 (47.727)	Prec@5 77.500 (78.223)
Epoch: [42][2290/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 1.8163 (2.0251)	Prec@1 54.000 (47.726)	Prec@5 81.000 (78.218)
Epoch: [42][2300/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.9468 (2.0253)	Prec@1 48.000 (47.723)	Prec@5 79.500 (78.212)
Epoch: [42][2310/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.8838 (2.0257)	Prec@1 55.000 (47.715)	Prec@5 84.000 (78.205)
Epoch: [42][2320/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.7734 (2.0257)	Prec@1 52.000 (47.712)	Prec@5 83.500 (78.208)
Epoch: [42][2330/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.1443 (2.0257)	Prec@1 45.500 (47.707)	Prec@5 77.500 (78.212)
Epoch: [42][2340/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.0299 (2.0255)	Prec@1 49.000 (47.707)	Prec@5 77.000 (78.218)
Epoch: [42][2350/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.1198 (2.0255)	Prec@1 50.000 (47.707)	Prec@5 77.000 (78.215)
Epoch: [42][2360/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.2062 (2.0258)	Prec@1 45.500 (47.702)	Prec@5 71.500 (78.207)
Epoch: [42][2370/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.2266 (2.0262)	Prec@1 39.000 (47.689)	Prec@5 77.000 (78.202)
Epoch: [42][2380/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.3931 (2.0265)	Prec@1 37.000 (47.682)	Prec@5 70.000 (78.195)
Epoch: [42][2390/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.0054 (2.0266)	Prec@1 42.000 (47.678)	Prec@5 77.500 (78.191)
Epoch: [42][2400/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 1.9150 (2.0268)	Prec@1 51.500 (47.671)	Prec@5 79.500 (78.187)
Epoch: [42][2410/9018]	Time 0.731 (0.616)	Data 0.001 (0.002)	Loss 1.9291 (2.0269)	Prec@1 51.000 (47.673)	Prec@5 77.000 (78.185)
Epoch: [42][2420/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.0701 (2.0267)	Prec@1 43.000 (47.676)	Prec@5 81.000 (78.186)
Epoch: [42][2430/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 1.9988 (2.0265)	Prec@1 47.000 (47.678)	Prec@5 80.000 (78.189)
Epoch: [42][2440/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.9485 (2.0265)	Prec@1 50.000 (47.672)	Prec@5 80.500 (78.189)
Epoch: [42][2450/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 1.9451 (2.0267)	Prec@1 47.500 (47.672)	Prec@5 81.500 (78.188)
Epoch: [42][2460/9018]	Time 0.719 (0.616)	Data 0.001 (0.002)	Loss 1.9215 (2.0267)	Prec@1 51.000 (47.674)	Prec@5 79.500 (78.186)
Epoch: [42][2470/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.1437 (2.0267)	Prec@1 41.000 (47.671)	Prec@5 73.000 (78.182)
Epoch: [42][2480/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 1.7187 (2.0271)	Prec@1 51.000 (47.664)	Prec@5 87.000 (78.178)
Epoch: [42][2490/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9168 (2.0271)	Prec@1 51.000 (47.665)	Prec@5 78.000 (78.178)
Epoch: [42][2500/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.9329 (2.0270)	Prec@1 47.000 (47.663)	Prec@5 82.500 (78.178)
Epoch: [42][2510/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 1.9055 (2.0271)	Prec@1 51.000 (47.667)	Prec@5 81.500 (78.176)
Epoch: [42][2520/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.9272 (2.0272)	Prec@1 52.000 (47.667)	Prec@5 77.500 (78.175)
Epoch: [42][2530/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0676 (2.0272)	Prec@1 52.500 (47.665)	Prec@5 76.500 (78.174)
Epoch: [42][2540/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.0366 (2.0274)	Prec@1 47.500 (47.665)	Prec@5 78.500 (78.172)
Epoch: [42][2550/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.2027 (2.0276)	Prec@1 38.500 (47.659)	Prec@5 76.000 (78.167)
Epoch: [42][2560/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.0556 (2.0278)	Prec@1 46.500 (47.654)	Prec@5 79.500 (78.166)
Epoch: [42][2570/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.9580 (2.0275)	Prec@1 47.500 (47.658)	Prec@5 81.000 (78.172)
Epoch: [42][2580/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.1415 (2.0278)	Prec@1 47.000 (47.653)	Prec@5 75.500 (78.167)
Epoch: [42][2590/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 2.0303 (2.0277)	Prec@1 45.500 (47.657)	Prec@5 79.500 (78.169)
Epoch: [42][2600/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.2244 (2.0279)	Prec@1 41.500 (47.649)	Prec@5 77.000 (78.169)
Epoch: [42][2610/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1375 (2.0280)	Prec@1 48.000 (47.645)	Prec@5 77.000 (78.166)
Epoch: [42][2620/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 2.0347 (2.0279)	Prec@1 49.500 (47.650)	Prec@5 79.000 (78.168)
Epoch: [42][2630/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.1260 (2.0280)	Prec@1 46.500 (47.651)	Prec@5 78.000 (78.170)
Epoch: [42][2640/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.0187 (2.0282)	Prec@1 47.500 (47.643)	Prec@5 74.500 (78.161)
Epoch: [42][2650/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.0959 (2.0285)	Prec@1 46.000 (47.635)	Prec@5 77.500 (78.155)
Epoch: [42][2660/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.3788 (2.0285)	Prec@1 37.500 (47.632)	Prec@5 74.000 (78.155)
Epoch: [42][2670/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 1.9739 (2.0283)	Prec@1 51.000 (47.636)	Prec@5 81.500 (78.155)
Epoch: [42][2680/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1030 (2.0287)	Prec@1 44.500 (47.629)	Prec@5 77.000 (78.148)
Epoch: [42][2690/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.0834 (2.0286)	Prec@1 47.500 (47.630)	Prec@5 75.000 (78.143)
Epoch: [42][2700/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.0840 (2.0286)	Prec@1 51.500 (47.628)	Prec@5 73.000 (78.144)
Epoch: [42][2710/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.2123 (2.0289)	Prec@1 38.000 (47.620)	Prec@5 78.000 (78.141)
Epoch: [42][2720/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0891 (2.0290)	Prec@1 45.000 (47.619)	Prec@5 79.500 (78.141)
Epoch: [42][2730/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.1686 (2.0291)	Prec@1 44.000 (47.620)	Prec@5 76.500 (78.141)
Epoch: [42][2740/9018]	Time 0.685 (0.616)	Data 0.001 (0.002)	Loss 1.9294 (2.0290)	Prec@1 51.500 (47.619)	Prec@5 79.500 (78.146)
Epoch: [42][2750/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.0650 (2.0290)	Prec@1 49.000 (47.621)	Prec@5 78.000 (78.147)
Epoch: [42][2760/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1333 (2.0290)	Prec@1 43.000 (47.617)	Prec@5 76.500 (78.146)
Epoch: [42][2770/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 1.9544 (2.0291)	Prec@1 51.000 (47.619)	Prec@5 77.500 (78.143)
Epoch: [42][2780/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 2.0178 (2.0290)	Prec@1 47.500 (47.622)	Prec@5 81.000 (78.146)
Epoch: [42][2790/9018]	Time 0.736 (0.616)	Data 0.001 (0.002)	Loss 2.2818 (2.0292)	Prec@1 43.000 (47.617)	Prec@5 74.000 (78.141)
Epoch: [42][2800/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.1501 (2.0293)	Prec@1 43.500 (47.614)	Prec@5 74.500 (78.139)
Epoch: [42][2810/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1708 (2.0294)	Prec@1 39.000 (47.613)	Prec@5 78.500 (78.140)
Epoch: [42][2820/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.9291 (2.0296)	Prec@1 52.000 (47.612)	Prec@5 81.500 (78.138)
Epoch: [42][2830/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.9936 (2.0296)	Prec@1 50.500 (47.610)	Prec@5 79.000 (78.138)
Epoch: [42][2840/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.8647 (2.0296)	Prec@1 46.500 (47.606)	Prec@5 78.000 (78.136)
Epoch: [42][2850/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.7354 (2.0296)	Prec@1 51.500 (47.609)	Prec@5 87.000 (78.135)
Epoch: [42][2860/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.1670 (2.0297)	Prec@1 40.500 (47.609)	Prec@5 76.500 (78.131)
Epoch: [42][2870/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.0630 (2.0298)	Prec@1 44.500 (47.608)	Prec@5 77.500 (78.131)
Epoch: [42][2880/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.0996 (2.0298)	Prec@1 47.500 (47.607)	Prec@5 76.000 (78.131)
Epoch: [42][2890/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.2186 (2.0301)	Prec@1 47.500 (47.604)	Prec@5 79.000 (78.130)
Epoch: [42][2900/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.9480 (2.0301)	Prec@1 50.000 (47.607)	Prec@5 81.000 (78.128)
Epoch: [42][2910/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.1733 (2.0302)	Prec@1 42.000 (47.602)	Prec@5 78.500 (78.128)
Epoch: [42][2920/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 1.8663 (2.0300)	Prec@1 51.500 (47.607)	Prec@5 83.500 (78.131)
Epoch: [42][2930/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1959 (2.0302)	Prec@1 42.000 (47.608)	Prec@5 77.500 (78.127)
Epoch: [42][2940/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.2070 (2.0301)	Prec@1 47.000 (47.609)	Prec@5 73.500 (78.126)
Epoch: [42][2950/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.0900 (2.0303)	Prec@1 48.000 (47.606)	Prec@5 75.500 (78.124)
Epoch: [42][2960/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 1.8811 (2.0303)	Prec@1 53.500 (47.610)	Prec@5 80.000 (78.125)
Epoch: [42][2970/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.1150 (2.0303)	Prec@1 46.000 (47.609)	Prec@5 75.000 (78.124)
Epoch: [42][2980/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9493 (2.0304)	Prec@1 48.000 (47.607)	Prec@5 79.500 (78.123)
Epoch: [42][2990/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0661 (2.0304)	Prec@1 48.500 (47.609)	Prec@5 78.500 (78.122)
Epoch: [42][3000/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0364 (2.0306)	Prec@1 50.000 (47.608)	Prec@5 79.500 (78.119)
Epoch: [42][3010/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.1942 (2.0309)	Prec@1 47.000 (47.601)	Prec@5 72.500 (78.111)
Epoch: [42][3020/9018]	Time 0.615 (0.616)	Data 0.003 (0.002)	Loss 1.8020 (2.0307)	Prec@1 51.500 (47.606)	Prec@5 82.500 (78.114)
Epoch: [42][3030/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 1.9389 (2.0307)	Prec@1 47.500 (47.605)	Prec@5 78.000 (78.112)
Epoch: [42][3040/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.2140 (2.0306)	Prec@1 45.500 (47.609)	Prec@5 73.000 (78.109)
Epoch: [42][3050/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 1.9491 (2.0307)	Prec@1 50.500 (47.609)	Prec@5 79.000 (78.109)
Epoch: [42][3060/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.1833 (2.0309)	Prec@1 44.000 (47.609)	Prec@5 72.000 (78.105)
Epoch: [42][3070/9018]	Time 0.721 (0.616)	Data 0.001 (0.001)	Loss 2.1231 (2.0311)	Prec@1 49.500 (47.607)	Prec@5 79.500 (78.104)
Epoch: [42][3080/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9782 (2.0310)	Prec@1 49.500 (47.608)	Prec@5 81.000 (78.106)
Epoch: [42][3090/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.3620 (2.0309)	Prec@1 39.500 (47.607)	Prec@5 73.000 (78.110)
Epoch: [42][3100/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 1.8828 (2.0308)	Prec@1 45.500 (47.610)	Prec@5 79.500 (78.110)
Epoch: [42][3110/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 1.9730 (2.0309)	Prec@1 48.500 (47.606)	Prec@5 77.500 (78.108)
Epoch: [42][3120/9018]	Time 0.731 (0.616)	Data 0.001 (0.001)	Loss 2.0721 (2.0310)	Prec@1 48.000 (47.606)	Prec@5 80.000 (78.105)
Epoch: [42][3130/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.0314 (2.0308)	Prec@1 52.500 (47.609)	Prec@5 76.000 (78.107)
Epoch: [42][3140/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9818 (2.0310)	Prec@1 50.500 (47.607)	Prec@5 78.500 (78.103)
Epoch: [42][3150/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.9406 (2.0307)	Prec@1 49.500 (47.616)	Prec@5 78.500 (78.104)
Epoch: [42][3160/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.0842 (2.0306)	Prec@1 50.500 (47.614)	Prec@5 73.000 (78.106)
Epoch: [42][3170/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9573 (2.0306)	Prec@1 45.000 (47.614)	Prec@5 77.500 (78.107)
Epoch: [42][3180/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0271 (2.0307)	Prec@1 50.000 (47.615)	Prec@5 75.500 (78.105)
Epoch: [42][3190/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.8582 (2.0304)	Prec@1 48.500 (47.622)	Prec@5 80.500 (78.110)
Epoch: [42][3200/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.8674 (2.0303)	Prec@1 51.500 (47.623)	Prec@5 82.000 (78.115)
Epoch: [42][3210/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.0296 (2.0302)	Prec@1 45.500 (47.621)	Prec@5 77.000 (78.120)
Epoch: [42][3220/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1719 (2.0303)	Prec@1 45.000 (47.622)	Prec@5 76.500 (78.120)
Epoch: [42][3230/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.8509 (2.0305)	Prec@1 53.000 (47.619)	Prec@5 83.500 (78.120)
Epoch: [42][3240/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.1403 (2.0305)	Prec@1 42.500 (47.618)	Prec@5 77.000 (78.119)
Epoch: [42][3250/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.0036 (2.0304)	Prec@1 52.500 (47.626)	Prec@5 79.500 (78.121)
Epoch: [42][3260/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 1.8373 (2.0302)	Prec@1 52.000 (47.628)	Prec@5 81.000 (78.121)
Epoch: [42][3270/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.1077 (2.0301)	Prec@1 44.500 (47.627)	Prec@5 75.500 (78.122)
Epoch: [42][3280/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.3469 (2.0299)	Prec@1 42.000 (47.627)	Prec@5 73.500 (78.126)
Epoch: [42][3290/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0469 (2.0300)	Prec@1 45.500 (47.625)	Prec@5 81.500 (78.128)
Epoch: [42][3300/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.0264 (2.0299)	Prec@1 52.500 (47.627)	Prec@5 77.500 (78.130)
Epoch: [42][3310/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0708 (2.0299)	Prec@1 44.500 (47.625)	Prec@5 80.500 (78.133)
Epoch: [42][3320/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.0816 (2.0301)	Prec@1 46.500 (47.622)	Prec@5 76.000 (78.131)
Epoch: [42][3330/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.0166 (2.0303)	Prec@1 46.500 (47.617)	Prec@5 80.000 (78.126)
Epoch: [42][3340/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0484 (2.0305)	Prec@1 51.000 (47.615)	Prec@5 76.000 (78.121)
Epoch: [42][3350/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 1.9048 (2.0305)	Prec@1 54.500 (47.617)	Prec@5 79.500 (78.121)
Epoch: [42][3360/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.2130 (2.0306)	Prec@1 44.500 (47.613)	Prec@5 76.000 (78.121)
Epoch: [42][3370/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.2264 (2.0307)	Prec@1 44.000 (47.608)	Prec@5 75.000 (78.119)
Epoch: [42][3380/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.3286 (2.0306)	Prec@1 41.500 (47.608)	Prec@5 73.000 (78.117)
Epoch: [42][3390/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 1.9168 (2.0308)	Prec@1 44.500 (47.606)	Prec@5 78.500 (78.114)
Epoch: [42][3400/9018]	Time 0.740 (0.616)	Data 0.001 (0.001)	Loss 2.0552 (2.0309)	Prec@1 44.000 (47.603)	Prec@5 77.000 (78.113)
Epoch: [42][3410/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.1414 (2.0310)	Prec@1 45.000 (47.600)	Prec@5 78.000 (78.111)
Epoch: [42][3420/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1460 (2.0311)	Prec@1 45.500 (47.597)	Prec@5 76.000 (78.110)
Epoch: [42][3430/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.1645 (2.0310)	Prec@1 48.000 (47.600)	Prec@5 73.500 (78.109)
Epoch: [42][3440/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.0074 (2.0311)	Prec@1 55.500 (47.602)	Prec@5 78.000 (78.105)
Epoch: [42][3450/9018]	Time 0.755 (0.616)	Data 0.001 (0.001)	Loss 1.9438 (2.0310)	Prec@1 53.000 (47.605)	Prec@5 80.000 (78.108)
Epoch: [42][3460/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.2459 (2.0313)	Prec@1 46.000 (47.603)	Prec@5 72.000 (78.102)
Epoch: [42][3470/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.0089 (2.0315)	Prec@1 46.500 (47.601)	Prec@5 76.000 (78.097)
Epoch: [42][3480/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0363 (2.0314)	Prec@1 47.000 (47.602)	Prec@5 76.000 (78.099)
Epoch: [42][3490/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.8455 (2.0316)	Prec@1 50.000 (47.601)	Prec@5 85.500 (78.096)
Epoch: [42][3500/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 1.9822 (2.0316)	Prec@1 48.500 (47.601)	Prec@5 79.500 (78.096)
Epoch: [42][3510/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.8679 (2.0315)	Prec@1 52.500 (47.605)	Prec@5 80.500 (78.097)
Epoch: [42][3520/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.1187 (2.0317)	Prec@1 45.000 (47.598)	Prec@5 75.500 (78.097)
Epoch: [42][3530/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0035 (2.0318)	Prec@1 49.000 (47.595)	Prec@5 75.500 (78.093)
Epoch: [42][3540/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.2140 (2.0318)	Prec@1 49.000 (47.600)	Prec@5 70.500 (78.093)
Epoch: [42][3550/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.7622 (2.0318)	Prec@1 51.500 (47.597)	Prec@5 84.000 (78.093)
Epoch: [42][3560/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0211 (2.0317)	Prec@1 46.500 (47.601)	Prec@5 76.000 (78.093)
Epoch: [42][3570/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.3279 (2.0319)	Prec@1 38.000 (47.595)	Prec@5 73.500 (78.092)
Epoch: [42][3580/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.0099 (2.0319)	Prec@1 48.500 (47.595)	Prec@5 78.000 (78.090)
Epoch: [42][3590/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.1578 (2.0323)	Prec@1 42.500 (47.589)	Prec@5 77.000 (78.083)
Epoch: [42][3600/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.1969 (2.0324)	Prec@1 45.000 (47.587)	Prec@5 76.000 (78.078)
Epoch: [42][3610/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.1218 (2.0326)	Prec@1 42.000 (47.582)	Prec@5 73.500 (78.076)
Epoch: [42][3620/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.9608 (2.0327)	Prec@1 51.500 (47.576)	Prec@5 80.500 (78.073)
Epoch: [42][3630/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 1.8865 (2.0327)	Prec@1 50.000 (47.575)	Prec@5 81.500 (78.072)
Epoch: [42][3640/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0923 (2.0327)	Prec@1 42.000 (47.574)	Prec@5 76.500 (78.073)
Epoch: [42][3650/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.1257 (2.0327)	Prec@1 45.500 (47.576)	Prec@5 73.500 (78.070)
Epoch: [42][3660/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0983 (2.0327)	Prec@1 47.500 (47.576)	Prec@5 74.000 (78.068)
Epoch: [42][3670/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 1.8328 (2.0327)	Prec@1 52.000 (47.576)	Prec@5 82.500 (78.070)
Epoch: [42][3680/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 1.8811 (2.0326)	Prec@1 53.500 (47.578)	Prec@5 85.000 (78.071)
Epoch: [42][3690/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0752 (2.0326)	Prec@1 51.500 (47.582)	Prec@5 74.000 (78.070)
Epoch: [42][3700/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0196 (2.0326)	Prec@1 50.000 (47.588)	Prec@5 75.500 (78.068)
Epoch: [42][3710/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9898 (2.0327)	Prec@1 44.000 (47.584)	Prec@5 77.000 (78.066)
Epoch: [42][3720/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.2139 (2.0327)	Prec@1 42.000 (47.585)	Prec@5 76.000 (78.066)
Epoch: [42][3730/9018]	Time 0.732 (0.616)	Data 0.001 (0.001)	Loss 2.1315 (2.0328)	Prec@1 41.000 (47.581)	Prec@5 76.500 (78.068)
Epoch: [42][3740/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.8839 (2.0329)	Prec@1 51.000 (47.580)	Prec@5 81.000 (78.066)
Epoch: [42][3750/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.0553 (2.0331)	Prec@1 48.000 (47.576)	Prec@5 79.000 (78.060)
Epoch: [42][3760/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.9524 (2.0333)	Prec@1 48.500 (47.573)	Prec@5 81.500 (78.057)
Epoch: [42][3770/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.2647 (2.0331)	Prec@1 41.000 (47.572)	Prec@5 75.000 (78.059)
Epoch: [42][3780/9018]	Time 0.747 (0.616)	Data 0.001 (0.001)	Loss 2.0504 (2.0333)	Prec@1 49.000 (47.570)	Prec@5 79.500 (78.056)
Epoch: [42][3790/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.0550 (2.0334)	Prec@1 47.500 (47.563)	Prec@5 76.000 (78.052)
Epoch: [42][3800/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.0718 (2.0335)	Prec@1 47.500 (47.563)	Prec@5 75.000 (78.048)
Epoch: [42][3810/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 1.9710 (2.0334)	Prec@1 48.500 (47.566)	Prec@5 80.000 (78.051)
Epoch: [42][3820/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.9229 (2.0333)	Prec@1 54.000 (47.569)	Prec@5 77.000 (78.051)
Epoch: [42][3830/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.0385 (2.0333)	Prec@1 43.000 (47.572)	Prec@5 80.000 (78.052)
Epoch: [42][3840/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0506 (2.0333)	Prec@1 40.500 (47.569)	Prec@5 80.000 (78.054)
Epoch: [42][3850/9018]	Time 0.585 (0.616)	Data 0.001 (0.001)	Loss 2.1017 (2.0332)	Prec@1 43.000 (47.571)	Prec@5 76.000 (78.057)
Epoch: [42][3860/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.0039 (2.0334)	Prec@1 43.000 (47.565)	Prec@5 76.500 (78.053)
Epoch: [42][3870/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.0144 (2.0334)	Prec@1 46.000 (47.565)	Prec@5 79.500 (78.051)
Epoch: [42][3880/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.1878 (2.0334)	Prec@1 42.500 (47.561)	Prec@5 75.500 (78.052)
Epoch: [42][3890/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.0644 (2.0335)	Prec@1 48.000 (47.560)	Prec@5 76.500 (78.049)
Epoch: [42][3900/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 1.9569 (2.0334)	Prec@1 52.000 (47.564)	Prec@5 77.000 (78.048)
Epoch: [42][3910/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.0181 (2.0335)	Prec@1 45.000 (47.560)	Prec@5 79.500 (78.048)
Epoch: [42][3920/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 1.9197 (2.0335)	Prec@1 48.000 (47.560)	Prec@5 79.000 (78.048)
Epoch: [42][3930/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 1.9794 (2.0335)	Prec@1 48.500 (47.561)	Prec@5 78.500 (78.049)
Epoch: [42][3940/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0371 (2.0334)	Prec@1 47.500 (47.564)	Prec@5 76.500 (78.050)
Epoch: [42][3950/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.1534 (2.0335)	Prec@1 46.000 (47.562)	Prec@5 77.000 (78.047)
Epoch: [42][3960/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 1.9993 (2.0334)	Prec@1 50.000 (47.563)	Prec@5 79.500 (78.047)
Epoch: [42][3970/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0697 (2.0333)	Prec@1 44.000 (47.566)	Prec@5 81.500 (78.048)
Epoch: [42][3980/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9833 (2.0332)	Prec@1 51.500 (47.573)	Prec@5 79.500 (78.048)
Epoch: [42][3990/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0027 (2.0331)	Prec@1 48.500 (47.577)	Prec@5 78.500 (78.049)
Epoch: [42][4000/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.7720 (2.0330)	Prec@1 55.000 (47.578)	Prec@5 82.000 (78.053)
Epoch: [42][4010/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0341 (2.0330)	Prec@1 49.000 (47.579)	Prec@5 78.500 (78.054)
Epoch: [42][4020/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9034 (2.0330)	Prec@1 48.500 (47.574)	Prec@5 81.000 (78.052)
Epoch: [42][4030/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0910 (2.0333)	Prec@1 44.500 (47.570)	Prec@5 80.000 (78.049)
Epoch: [42][4040/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.2615 (2.0333)	Prec@1 44.000 (47.571)	Prec@5 74.500 (78.050)
Epoch: [42][4050/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.2775 (2.0333)	Prec@1 45.500 (47.569)	Prec@5 76.500 (78.050)
Epoch: [42][4060/9018]	Time 0.752 (0.616)	Data 0.001 (0.001)	Loss 2.1960 (2.0333)	Prec@1 45.500 (47.570)	Prec@5 74.000 (78.055)
Epoch: [42][4070/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.1482 (2.0334)	Prec@1 44.000 (47.570)	Prec@5 73.500 (78.054)
Epoch: [42][4080/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.1270 (2.0336)	Prec@1 44.500 (47.568)	Prec@5 75.500 (78.051)
Epoch: [42][4090/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.0155 (2.0336)	Prec@1 47.000 (47.569)	Prec@5 78.500 (78.052)
Epoch: [42][4100/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.8252 (2.0337)	Prec@1 55.500 (47.569)	Prec@5 81.000 (78.048)
Epoch: [42][4110/9018]	Time 0.717 (0.616)	Data 0.001 (0.001)	Loss 2.0013 (2.0337)	Prec@1 49.000 (47.571)	Prec@5 81.000 (78.045)
Epoch: [42][4120/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.0624 (2.0339)	Prec@1 46.000 (47.569)	Prec@5 77.500 (78.043)
Epoch: [42][4130/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.0376 (2.0339)	Prec@1 50.000 (47.565)	Prec@5 75.500 (78.042)
Epoch: [42][4140/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1501 (2.0340)	Prec@1 45.500 (47.565)	Prec@5 76.500 (78.042)
Epoch: [42][4150/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.9493 (2.0339)	Prec@1 48.000 (47.562)	Prec@5 81.000 (78.042)
Epoch: [42][4160/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.9620 (2.0340)	Prec@1 45.000 (47.557)	Prec@5 80.500 (78.041)
Epoch: [42][4170/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.0747 (2.0341)	Prec@1 48.500 (47.557)	Prec@5 78.500 (78.040)
Epoch: [42][4180/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.3559 (2.0343)	Prec@1 40.000 (47.554)	Prec@5 72.000 (78.037)
Epoch: [42][4190/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.2113 (2.0344)	Prec@1 45.000 (47.552)	Prec@5 73.000 (78.034)
Epoch: [42][4200/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 1.9029 (2.0344)	Prec@1 53.000 (47.553)	Prec@5 80.500 (78.035)
Epoch: [42][4210/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 1.9901 (2.0345)	Prec@1 47.500 (47.548)	Prec@5 77.500 (78.033)
Epoch: [42][4220/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0449 (2.0347)	Prec@1 50.000 (47.548)	Prec@5 80.000 (78.031)
Epoch: [42][4230/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.1983 (2.0347)	Prec@1 43.000 (47.545)	Prec@5 76.000 (78.030)
Epoch: [42][4240/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.7560 (2.0346)	Prec@1 55.500 (47.545)	Prec@5 82.500 (78.032)
Epoch: [42][4250/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1039 (2.0347)	Prec@1 44.000 (47.545)	Prec@5 79.500 (78.033)
Epoch: [42][4260/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.8900 (2.0346)	Prec@1 50.000 (47.549)	Prec@5 83.500 (78.034)
Epoch: [42][4270/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.2001 (2.0346)	Prec@1 44.000 (47.550)	Prec@5 78.500 (78.034)
Epoch: [42][4280/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1700 (2.0346)	Prec@1 47.000 (47.550)	Prec@5 71.500 (78.033)
Epoch: [42][4290/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.0037 (2.0347)	Prec@1 51.500 (47.548)	Prec@5 77.000 (78.032)
Epoch: [42][4300/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.1939 (2.0348)	Prec@1 40.000 (47.546)	Prec@5 73.500 (78.030)
Epoch: [42][4310/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.1858 (2.0348)	Prec@1 49.000 (47.548)	Prec@5 77.000 (78.032)
Epoch: [42][4320/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.1867 (2.0349)	Prec@1 43.500 (47.544)	Prec@5 76.000 (78.030)
Epoch: [42][4330/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.1212 (2.0349)	Prec@1 45.000 (47.542)	Prec@5 77.000 (78.029)
Epoch: [42][4340/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.2015 (2.0349)	Prec@1 43.000 (47.543)	Prec@5 77.500 (78.031)
Epoch: [42][4350/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.0300 (2.0350)	Prec@1 44.500 (47.543)	Prec@5 80.000 (78.029)
Epoch: [42][4360/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.3124 (2.0351)	Prec@1 38.500 (47.538)	Prec@5 73.500 (78.028)
Epoch: [42][4370/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.0432 (2.0352)	Prec@1 46.500 (47.537)	Prec@5 78.000 (78.027)
Epoch: [42][4380/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 1.9710 (2.0353)	Prec@1 51.000 (47.534)	Prec@5 81.500 (78.026)
Epoch: [42][4390/9018]	Time 0.721 (0.616)	Data 0.001 (0.001)	Loss 1.9659 (2.0353)	Prec@1 52.000 (47.535)	Prec@5 78.000 (78.025)
Epoch: [42][4400/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.0826 (2.0354)	Prec@1 46.500 (47.534)	Prec@5 81.000 (78.026)
Epoch: [42][4410/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.1315 (2.0354)	Prec@1 42.500 (47.532)	Prec@5 78.500 (78.025)
Epoch: [42][4420/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.1514 (2.0353)	Prec@1 46.000 (47.535)	Prec@5 78.000 (78.029)
Epoch: [42][4430/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 1.9619 (2.0353)	Prec@1 49.000 (47.536)	Prec@5 79.000 (78.028)
Epoch: [42][4440/9018]	Time 0.716 (0.616)	Data 0.001 (0.001)	Loss 1.9905 (2.0354)	Prec@1 49.500 (47.534)	Prec@5 77.000 (78.027)
Epoch: [42][4450/9018]	Time 0.636 (0.616)	Data 0.001 (0.001)	Loss 2.2106 (2.0355)	Prec@1 41.000 (47.529)	Prec@5 75.000 (78.026)
Epoch: [42][4460/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.0984 (2.0356)	Prec@1 45.000 (47.528)	Prec@5 75.000 (78.026)
Epoch: [42][4470/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.2635 (2.0357)	Prec@1 43.000 (47.525)	Prec@5 75.500 (78.021)
Epoch: [42][4480/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.0331 (2.0357)	Prec@1 46.000 (47.526)	Prec@5 76.500 (78.023)
Epoch: [42][4490/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.9391 (2.0357)	Prec@1 50.000 (47.525)	Prec@5 77.000 (78.025)
Epoch: [42][4500/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9734 (2.0356)	Prec@1 51.500 (47.528)	Prec@5 75.000 (78.025)
Epoch: [42][4510/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9726 (2.0356)	Prec@1 49.500 (47.526)	Prec@5 79.500 (78.027)
Epoch: [42][4520/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 1.9895 (2.0355)	Prec@1 51.500 (47.529)	Prec@5 77.500 (78.028)
Epoch: [42][4530/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.0726 (2.0356)	Prec@1 47.000 (47.528)	Prec@5 77.500 (78.027)
Epoch: [42][4540/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0442 (2.0357)	Prec@1 48.500 (47.528)	Prec@5 78.500 (78.026)
Epoch: [42][4550/9018]	Time 0.586 (0.616)	Data 0.001 (0.001)	Loss 2.0129 (2.0358)	Prec@1 46.500 (47.527)	Prec@5 79.000 (78.025)
Epoch: [42][4560/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1906 (2.0358)	Prec@1 41.500 (47.529)	Prec@5 80.500 (78.026)
Epoch: [42][4570/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.0205 (2.0358)	Prec@1 48.000 (47.525)	Prec@5 79.000 (78.027)
Epoch: [42][4580/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1930 (2.0358)	Prec@1 46.500 (47.527)	Prec@5 77.000 (78.027)
Epoch: [42][4590/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.0216 (2.0358)	Prec@1 46.500 (47.527)	Prec@5 78.000 (78.027)
Epoch: [42][4600/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.1581 (2.0359)	Prec@1 43.000 (47.526)	Prec@5 79.000 (78.025)
Epoch: [42][4610/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1297 (2.0360)	Prec@1 48.000 (47.525)	Prec@5 76.500 (78.025)
Epoch: [42][4620/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.1702 (2.0362)	Prec@1 44.000 (47.522)	Prec@5 74.500 (78.021)
Epoch: [42][4630/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0434 (2.0363)	Prec@1 48.500 (47.520)	Prec@5 73.000 (78.020)
Epoch: [42][4640/9018]	Time 0.637 (0.616)	Data 0.001 (0.001)	Loss 2.0006 (2.0360)	Prec@1 48.000 (47.525)	Prec@5 82.500 (78.024)
Epoch: [42][4650/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0422 (2.0360)	Prec@1 48.000 (47.526)	Prec@5 79.500 (78.024)
Epoch: [42][4660/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.8377 (2.0361)	Prec@1 52.500 (47.523)	Prec@5 85.000 (78.025)
Epoch: [42][4670/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.0097 (2.0360)	Prec@1 46.000 (47.525)	Prec@5 79.500 (78.028)
Epoch: [42][4680/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0505 (2.0360)	Prec@1 46.000 (47.524)	Prec@5 77.000 (78.029)
Epoch: [42][4690/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9326 (2.0360)	Prec@1 50.000 (47.520)	Prec@5 80.000 (78.026)
Epoch: [42][4700/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 1.9626 (2.0361)	Prec@1 51.500 (47.518)	Prec@5 81.500 (78.024)
Epoch: [42][4710/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.0296 (2.0361)	Prec@1 45.000 (47.518)	Prec@5 79.000 (78.028)
Epoch: [42][4720/9018]	Time 0.750 (0.616)	Data 0.001 (0.001)	Loss 2.0685 (2.0361)	Prec@1 46.500 (47.515)	Prec@5 76.500 (78.027)
Epoch: [42][4730/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0486 (2.0362)	Prec@1 44.000 (47.512)	Prec@5 77.500 (78.027)
Epoch: [42][4740/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.0869 (2.0362)	Prec@1 45.500 (47.512)	Prec@5 76.500 (78.028)
Epoch: [42][4750/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.0590 (2.0364)	Prec@1 47.000 (47.507)	Prec@5 77.500 (78.025)
Epoch: [42][4760/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.9023 (2.0364)	Prec@1 48.500 (47.507)	Prec@5 78.000 (78.025)
Epoch: [42][4770/9018]	Time 0.713 (0.616)	Data 0.001 (0.001)	Loss 1.9741 (2.0364)	Prec@1 45.500 (47.505)	Prec@5 80.500 (78.027)
Epoch: [42][4780/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.9290 (2.0364)	Prec@1 49.000 (47.506)	Prec@5 81.000 (78.024)
Epoch: [42][4790/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 1.9067 (2.0363)	Prec@1 47.500 (47.503)	Prec@5 81.500 (78.028)
Epoch: [42][4800/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.0143 (2.0362)	Prec@1 47.500 (47.503)	Prec@5 78.500 (78.031)
Epoch: [42][4810/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.1380 (2.0363)	Prec@1 42.000 (47.503)	Prec@5 78.000 (78.030)
Epoch: [42][4820/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.1344 (2.0363)	Prec@1 45.500 (47.501)	Prec@5 78.000 (78.032)
Epoch: [42][4830/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.8490 (2.0362)	Prec@1 49.000 (47.504)	Prec@5 83.500 (78.033)
Epoch: [42][4840/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0217 (2.0363)	Prec@1 50.500 (47.504)	Prec@5 79.500 (78.032)
Epoch: [42][4850/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.2355 (2.0362)	Prec@1 45.000 (47.506)	Prec@5 73.000 (78.033)
Epoch: [42][4860/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0228 (2.0363)	Prec@1 50.000 (47.505)	Prec@5 77.000 (78.031)
Epoch: [42][4870/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9737 (2.0362)	Prec@1 44.500 (47.506)	Prec@5 79.000 (78.033)
Epoch: [42][4880/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0662 (2.0362)	Prec@1 49.000 (47.509)	Prec@5 75.500 (78.033)
Epoch: [42][4890/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0632 (2.0362)	Prec@1 48.500 (47.508)	Prec@5 75.000 (78.031)
Epoch: [42][4900/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.9212 (2.0362)	Prec@1 50.000 (47.508)	Prec@5 77.500 (78.031)
Epoch: [42][4910/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.7739 (2.0361)	Prec@1 55.000 (47.511)	Prec@5 83.000 (78.033)
Epoch: [42][4920/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.0369 (2.0361)	Prec@1 48.500 (47.510)	Prec@5 79.000 (78.033)
Epoch: [42][4930/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.9398 (2.0361)	Prec@1 49.500 (47.508)	Prec@5 81.000 (78.031)
Epoch: [42][4940/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0323 (2.0362)	Prec@1 52.000 (47.510)	Prec@5 74.500 (78.029)
Epoch: [42][4950/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.0441 (2.0363)	Prec@1 49.000 (47.508)	Prec@5 77.000 (78.026)
Epoch: [42][4960/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.9330 (2.0364)	Prec@1 47.500 (47.506)	Prec@5 79.000 (78.025)
Epoch: [42][4970/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1092 (2.0365)	Prec@1 49.000 (47.503)	Prec@5 71.500 (78.023)
Epoch: [42][4980/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.0474 (2.0365)	Prec@1 47.000 (47.505)	Prec@5 78.000 (78.021)
Epoch: [42][4990/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0712 (2.0365)	Prec@1 46.000 (47.503)	Prec@5 77.500 (78.022)
Epoch: [42][5000/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.0175 (2.0366)	Prec@1 51.000 (47.503)	Prec@5 80.000 (78.021)
Epoch: [42][5010/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0744 (2.0365)	Prec@1 48.500 (47.507)	Prec@5 75.500 (78.021)
Epoch: [42][5020/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.2438 (2.0366)	Prec@1 45.500 (47.505)	Prec@5 70.500 (78.022)
Epoch: [42][5030/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.8351 (2.0365)	Prec@1 49.500 (47.507)	Prec@5 79.000 (78.022)
Epoch: [42][5040/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.8829 (2.0365)	Prec@1 47.500 (47.508)	Prec@5 81.000 (78.024)
Epoch: [42][5050/9018]	Time 0.733 (0.616)	Data 0.001 (0.001)	Loss 2.1192 (2.0365)	Prec@1 45.500 (47.509)	Prec@5 76.500 (78.022)
Epoch: [42][5060/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.0962 (2.0366)	Prec@1 43.000 (47.508)	Prec@5 79.500 (78.020)
Epoch: [42][5070/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9280 (2.0366)	Prec@1 46.000 (47.507)	Prec@5 81.500 (78.020)
Epoch: [42][5080/9018]	Time 0.588 (0.616)	Data 0.001 (0.001)	Loss 2.0764 (2.0365)	Prec@1 47.500 (47.509)	Prec@5 78.500 (78.021)
Epoch: [42][5090/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.0571 (2.0364)	Prec@1 49.000 (47.513)	Prec@5 77.000 (78.024)
Epoch: [42][5100/9018]	Time 0.735 (0.616)	Data 0.001 (0.001)	Loss 1.8462 (2.0364)	Prec@1 48.500 (47.513)	Prec@5 83.000 (78.026)
Epoch: [42][5110/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.2557 (2.0364)	Prec@1 44.000 (47.511)	Prec@5 73.000 (78.025)
Epoch: [42][5120/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 1.8841 (2.0365)	Prec@1 47.500 (47.509)	Prec@5 83.500 (78.024)
Epoch: [42][5130/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.0240 (2.0366)	Prec@1 51.000 (47.510)	Prec@5 76.500 (78.023)
Epoch: [42][5140/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1652 (2.0365)	Prec@1 44.500 (47.512)	Prec@5 79.500 (78.026)
Epoch: [42][5150/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.0411 (2.0364)	Prec@1 48.000 (47.513)	Prec@5 80.000 (78.029)
Epoch: [42][5160/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0758 (2.0365)	Prec@1 48.500 (47.510)	Prec@5 76.500 (78.029)
Epoch: [42][5170/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 1.8829 (2.0365)	Prec@1 50.500 (47.513)	Prec@5 80.000 (78.031)
Epoch: [42][5180/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.2218 (2.0366)	Prec@1 43.500 (47.511)	Prec@5 74.500 (78.030)
Epoch: [42][5190/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.1699 (2.0367)	Prec@1 48.500 (47.511)	Prec@5 77.000 (78.028)
Epoch: [42][5200/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 2.1608 (2.0367)	Prec@1 43.500 (47.514)	Prec@5 76.500 (78.028)
Epoch: [42][5210/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.1820 (2.0368)	Prec@1 46.000 (47.509)	Prec@5 73.000 (78.027)
Epoch: [42][5220/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.1941 (2.0369)	Prec@1 49.000 (47.508)	Prec@5 73.500 (78.024)
Epoch: [42][5230/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 1.8777 (2.0369)	Prec@1 53.000 (47.509)	Prec@5 77.500 (78.023)
Epoch: [42][5240/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0465 (2.0369)	Prec@1 45.500 (47.510)	Prec@5 81.000 (78.023)
Epoch: [42][5250/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9088 (2.0369)	Prec@1 51.500 (47.511)	Prec@5 79.000 (78.022)
Epoch: [42][5260/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0507 (2.0369)	Prec@1 45.500 (47.512)	Prec@5 75.500 (78.022)
Epoch: [42][5270/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 1.9890 (2.0371)	Prec@1 45.000 (47.508)	Prec@5 80.500 (78.020)
Epoch: [42][5280/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.1309 (2.0372)	Prec@1 48.500 (47.507)	Prec@5 74.000 (78.017)
Epoch: [42][5290/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.9983 (2.0373)	Prec@1 51.000 (47.505)	Prec@5 79.000 (78.013)
Epoch: [42][5300/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1559 (2.0373)	Prec@1 50.500 (47.505)	Prec@5 77.000 (78.012)
Epoch: [42][5310/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.0609 (2.0372)	Prec@1 43.000 (47.505)	Prec@5 76.000 (78.013)
Epoch: [42][5320/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.0758 (2.0374)	Prec@1 47.000 (47.499)	Prec@5 79.500 (78.009)
Epoch: [42][5330/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 1.9698 (2.0375)	Prec@1 50.500 (47.497)	Prec@5 80.000 (78.008)
Epoch: [42][5340/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.1784 (2.0375)	Prec@1 48.000 (47.495)	Prec@5 72.500 (78.008)
Epoch: [42][5350/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.9156 (2.0374)	Prec@1 50.500 (47.498)	Prec@5 77.500 (78.010)
Epoch: [42][5360/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.1399 (2.0375)	Prec@1 44.000 (47.493)	Prec@5 80.500 (78.007)
Epoch: [42][5370/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.1667 (2.0376)	Prec@1 44.500 (47.493)	Prec@5 75.000 (78.005)
Epoch: [42][5380/9018]	Time 0.730 (0.616)	Data 0.001 (0.001)	Loss 2.1618 (2.0376)	Prec@1 46.000 (47.493)	Prec@5 76.000 (78.006)
Epoch: [42][5390/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.1236 (2.0375)	Prec@1 43.500 (47.494)	Prec@5 77.500 (78.009)
Epoch: [42][5400/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.2047 (2.0375)	Prec@1 40.500 (47.493)	Prec@5 72.000 (78.007)
Epoch: [42][5410/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.1006 (2.0375)	Prec@1 44.500 (47.493)	Prec@5 74.000 (78.008)
Epoch: [42][5420/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.9773 (2.0374)	Prec@1 50.500 (47.495)	Prec@5 77.500 (78.010)
Epoch: [42][5430/9018]	Time 0.735 (0.616)	Data 0.001 (0.001)	Loss 2.1178 (2.0375)	Prec@1 48.500 (47.493)	Prec@5 74.500 (78.008)
Epoch: [42][5440/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.1932 (2.0375)	Prec@1 44.000 (47.492)	Prec@5 75.000 (78.008)
Epoch: [42][5450/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0893 (2.0375)	Prec@1 48.000 (47.493)	Prec@5 77.500 (78.009)
Epoch: [42][5460/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.2306 (2.0377)	Prec@1 42.000 (47.490)	Prec@5 73.500 (78.005)
Epoch: [42][5470/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 1.9283 (2.0377)	Prec@1 51.000 (47.487)	Prec@5 76.500 (78.003)
Epoch: [42][5480/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.8919 (2.0376)	Prec@1 48.500 (47.489)	Prec@5 78.500 (78.002)
Epoch: [42][5490/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.2041 (2.0378)	Prec@1 41.000 (47.488)	Prec@5 73.000 (78.000)
Epoch: [42][5500/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0511 (2.0380)	Prec@1 47.500 (47.485)	Prec@5 75.500 (77.996)
Epoch: [42][5510/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0895 (2.0380)	Prec@1 47.000 (47.485)	Prec@5 75.500 (77.995)
Epoch: [42][5520/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.9258 (2.0380)	Prec@1 47.500 (47.483)	Prec@5 79.000 (77.995)
Epoch: [42][5530/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1439 (2.0379)	Prec@1 47.000 (47.485)	Prec@5 76.000 (77.997)
Epoch: [42][5540/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1154 (2.0380)	Prec@1 45.000 (47.484)	Prec@5 77.000 (77.995)
Epoch: [42][5550/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.3127 (2.0379)	Prec@1 40.000 (47.484)	Prec@5 75.500 (77.996)
Epoch: [42][5560/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0295 (2.0380)	Prec@1 46.500 (47.484)	Prec@5 78.000 (77.996)
Epoch: [42][5570/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.9299 (2.0380)	Prec@1 48.000 (47.482)	Prec@5 78.500 (77.995)
Epoch: [42][5580/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.1061 (2.0380)	Prec@1 48.500 (47.480)	Prec@5 78.500 (77.994)
Epoch: [42][5590/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1987 (2.0380)	Prec@1 45.000 (47.478)	Prec@5 77.500 (77.996)
Epoch: [42][5600/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.0923 (2.0380)	Prec@1 49.500 (47.478)	Prec@5 80.000 (77.998)
Epoch: [42][5610/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.1841 (2.0381)	Prec@1 46.000 (47.478)	Prec@5 76.000 (77.998)
Epoch: [42][5620/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.3373 (2.0381)	Prec@1 43.000 (47.474)	Prec@5 71.000 (77.996)
Epoch: [42][5630/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0747 (2.0381)	Prec@1 45.000 (47.475)	Prec@5 76.500 (77.995)
Epoch: [42][5640/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.9603 (2.0380)	Prec@1 48.500 (47.477)	Prec@5 75.500 (77.995)
Epoch: [42][5650/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.1597 (2.0380)	Prec@1 44.500 (47.476)	Prec@5 75.500 (77.993)
Epoch: [42][5660/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.2649 (2.0382)	Prec@1 42.000 (47.473)	Prec@5 72.500 (77.990)
Epoch: [42][5670/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.0909 (2.0382)	Prec@1 41.500 (47.472)	Prec@5 78.000 (77.990)
Epoch: [42][5680/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0136 (2.0381)	Prec@1 48.000 (47.474)	Prec@5 78.000 (77.993)
Epoch: [42][5690/9018]	Time 0.641 (0.616)	Data 0.001 (0.001)	Loss 2.1317 (2.0382)	Prec@1 45.500 (47.472)	Prec@5 75.000 (77.992)
Epoch: [42][5700/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0005 (2.0382)	Prec@1 45.000 (47.468)	Prec@5 80.500 (77.990)
Epoch: [42][5710/9018]	Time 0.735 (0.616)	Data 0.001 (0.001)	Loss 2.1412 (2.0383)	Prec@1 47.500 (47.465)	Prec@5 76.000 (77.989)
Epoch: [42][5720/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0466 (2.0382)	Prec@1 52.000 (47.467)	Prec@5 77.500 (77.992)
Epoch: [42][5730/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.0812 (2.0383)	Prec@1 46.000 (47.464)	Prec@5 80.000 (77.989)
Epoch: [42][5740/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 1.9627 (2.0383)	Prec@1 51.500 (47.463)	Prec@5 76.000 (77.989)
Epoch: [42][5750/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.0911 (2.0383)	Prec@1 43.500 (47.463)	Prec@5 78.000 (77.988)
Epoch: [42][5760/9018]	Time 0.716 (0.616)	Data 0.001 (0.001)	Loss 2.1697 (2.0385)	Prec@1 41.000 (47.459)	Prec@5 76.500 (77.985)
Epoch: [42][5770/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.2021 (2.0385)	Prec@1 42.500 (47.461)	Prec@5 76.000 (77.985)
Epoch: [42][5780/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.9249 (2.0385)	Prec@1 47.500 (47.462)	Prec@5 81.500 (77.985)
Epoch: [42][5790/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.9483 (2.0385)	Prec@1 49.000 (47.463)	Prec@5 79.500 (77.986)
Epoch: [42][5800/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.8179 (2.0383)	Prec@1 54.000 (47.468)	Prec@5 82.500 (77.989)
Epoch: [42][5810/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.2755 (2.0384)	Prec@1 43.000 (47.464)	Prec@5 72.500 (77.989)
Epoch: [42][5820/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.8583 (2.0385)	Prec@1 49.000 (47.462)	Prec@5 81.000 (77.987)
Epoch: [42][5830/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.9177 (2.0385)	Prec@1 48.000 (47.461)	Prec@5 80.500 (77.985)
Epoch: [42][5840/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.9808 (2.0384)	Prec@1 51.500 (47.462)	Prec@5 75.000 (77.984)
Epoch: [42][5850/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.0363 (2.0384)	Prec@1 47.500 (47.461)	Prec@5 75.000 (77.981)
Epoch: [42][5860/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1151 (2.0385)	Prec@1 41.000 (47.460)	Prec@5 78.500 (77.982)
Epoch: [42][5870/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0307 (2.0385)	Prec@1 47.500 (47.458)	Prec@5 77.000 (77.980)
Epoch: [42][5880/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 2.3110 (2.0385)	Prec@1 45.500 (47.458)	Prec@5 71.000 (77.981)
Epoch: [42][5890/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0522 (2.0386)	Prec@1 46.000 (47.455)	Prec@5 77.000 (77.979)
Epoch: [42][5900/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.8760 (2.0386)	Prec@1 48.500 (47.453)	Prec@5 81.000 (77.979)
Epoch: [42][5910/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.0950 (2.0386)	Prec@1 44.500 (47.454)	Prec@5 72.000 (77.979)
Epoch: [42][5920/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1883 (2.0387)	Prec@1 44.500 (47.452)	Prec@5 74.000 (77.976)
Epoch: [42][5930/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 1.9676 (2.0388)	Prec@1 47.500 (47.451)	Prec@5 81.000 (77.975)
Epoch: [42][5940/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.1182 (2.0388)	Prec@1 43.500 (47.449)	Prec@5 78.500 (77.973)
Epoch: [42][5950/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.2541 (2.0389)	Prec@1 44.000 (47.449)	Prec@5 74.500 (77.972)
Epoch: [42][5960/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.1069 (2.0389)	Prec@1 43.000 (47.449)	Prec@5 78.000 (77.971)
Epoch: [42][5970/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 2.1333 (2.0389)	Prec@1 44.500 (47.451)	Prec@5 74.500 (77.972)
Epoch: [42][5980/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.9436 (2.0390)	Prec@1 49.500 (47.450)	Prec@5 78.500 (77.970)
Epoch: [42][5990/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.0968 (2.0389)	Prec@1 45.000 (47.451)	Prec@5 79.500 (77.970)
Epoch: [42][6000/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1478 (2.0389)	Prec@1 44.000 (47.451)	Prec@5 73.500 (77.968)
Epoch: [42][6010/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 1.9769 (2.0389)	Prec@1 48.500 (47.452)	Prec@5 78.500 (77.970)
Epoch: [42][6020/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0177 (2.0390)	Prec@1 45.500 (47.451)	Prec@5 80.500 (77.969)
Epoch: [42][6030/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9597 (2.0390)	Prec@1 48.000 (47.450)	Prec@5 77.500 (77.967)
Epoch: [42][6040/9018]	Time 0.730 (0.616)	Data 0.001 (0.001)	Loss 2.0010 (2.0391)	Prec@1 46.000 (47.450)	Prec@5 78.500 (77.966)
Epoch: [42][6050/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9360 (2.0390)	Prec@1 46.000 (47.452)	Prec@5 81.000 (77.968)
Epoch: [42][6060/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.2780 (2.0390)	Prec@1 43.500 (47.452)	Prec@5 73.500 (77.966)
Epoch: [42][6070/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1789 (2.0391)	Prec@1 48.000 (47.451)	Prec@5 74.500 (77.965)
Epoch: [42][6080/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.1177 (2.0392)	Prec@1 42.000 (47.449)	Prec@5 73.500 (77.963)
Epoch: [42][6090/9018]	Time 0.739 (0.616)	Data 0.001 (0.001)	Loss 2.0907 (2.0392)	Prec@1 46.500 (47.448)	Prec@5 81.000 (77.963)
Epoch: [42][6100/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1688 (2.0393)	Prec@1 46.500 (47.447)	Prec@5 72.500 (77.960)
Epoch: [42][6110/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 1.9612 (2.0393)	Prec@1 48.500 (47.451)	Prec@5 78.500 (77.961)
Epoch: [42][6120/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 1.9304 (2.0392)	Prec@1 49.500 (47.450)	Prec@5 81.000 (77.960)
Epoch: [42][6130/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.1657 (2.0392)	Prec@1 42.000 (47.449)	Prec@5 76.000 (77.961)
Epoch: [42][6140/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.9116 (2.0392)	Prec@1 51.500 (47.453)	Prec@5 77.500 (77.961)
Epoch: [42][6150/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.9992 (2.0392)	Prec@1 46.000 (47.450)	Prec@5 80.000 (77.962)
Epoch: [42][6160/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 1.9475 (2.0392)	Prec@1 51.500 (47.450)	Prec@5 79.500 (77.961)
Epoch: [42][6170/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1692 (2.0394)	Prec@1 50.500 (47.449)	Prec@5 74.500 (77.958)
Epoch: [42][6180/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0143 (2.0393)	Prec@1 51.500 (47.452)	Prec@5 77.000 (77.957)
Epoch: [42][6190/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.0536 (2.0393)	Prec@1 44.500 (47.454)	Prec@5 79.500 (77.958)
Epoch: [42][6200/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 1.8999 (2.0392)	Prec@1 52.500 (47.455)	Prec@5 80.500 (77.959)
Epoch: [42][6210/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0754 (2.0392)	Prec@1 48.000 (47.454)	Prec@5 80.500 (77.960)
Epoch: [42][6220/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.7197 (2.0392)	Prec@1 53.500 (47.455)	Prec@5 85.500 (77.961)
Epoch: [42][6230/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0303 (2.0392)	Prec@1 50.000 (47.453)	Prec@5 75.000 (77.961)
Epoch: [42][6240/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.7121 (2.0392)	Prec@1 57.000 (47.457)	Prec@5 80.500 (77.961)
Epoch: [42][6250/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 1.9037 (2.0391)	Prec@1 49.000 (47.456)	Prec@5 77.500 (77.962)
Epoch: [42][6260/9018]	Time 0.589 (0.616)	Data 0.001 (0.001)	Loss 2.1970 (2.0390)	Prec@1 46.000 (47.458)	Prec@5 74.000 (77.964)
Epoch: [42][6270/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.7868 (2.0390)	Prec@1 47.000 (47.463)	Prec@5 83.000 (77.963)
Epoch: [42][6280/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.0198 (2.0390)	Prec@1 48.500 (47.461)	Prec@5 78.000 (77.964)
Epoch: [42][6290/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.8319 (2.0391)	Prec@1 54.500 (47.459)	Prec@5 82.000 (77.962)
Epoch: [42][6300/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0824 (2.0392)	Prec@1 47.500 (47.457)	Prec@5 77.500 (77.960)
Epoch: [42][6310/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.0905 (2.0392)	Prec@1 48.500 (47.459)	Prec@5 76.500 (77.960)
Epoch: [42][6320/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 2.2186 (2.0392)	Prec@1 37.500 (47.459)	Prec@5 75.000 (77.960)
Epoch: [42][6330/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0467 (2.0392)	Prec@1 42.000 (47.457)	Prec@5 80.000 (77.962)
Epoch: [42][6340/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.7942 (2.0393)	Prec@1 58.000 (47.454)	Prec@5 81.500 (77.962)
Epoch: [42][6350/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 1.8787 (2.0393)	Prec@1 45.000 (47.453)	Prec@5 81.500 (77.960)
Epoch: [42][6360/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 1.9118 (2.0393)	Prec@1 50.000 (47.454)	Prec@5 77.500 (77.961)
Epoch: [42][6370/9018]	Time 0.738 (0.616)	Data 0.001 (0.001)	Loss 2.0150 (2.0393)	Prec@1 51.500 (47.454)	Prec@5 79.000 (77.960)
Epoch: [42][6380/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.8848 (2.0394)	Prec@1 50.000 (47.455)	Prec@5 80.000 (77.958)
Epoch: [42][6390/9018]	Time 0.635 (0.616)	Data 0.001 (0.001)	Loss 1.9667 (2.0394)	Prec@1 47.500 (47.454)	Prec@5 79.000 (77.959)
Epoch: [42][6400/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 2.0112 (2.0394)	Prec@1 50.500 (47.454)	Prec@5 78.000 (77.957)
Epoch: [42][6410/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.3110 (2.0395)	Prec@1 45.000 (47.454)	Prec@5 73.500 (77.956)
Epoch: [42][6420/9018]	Time 0.720 (0.616)	Data 0.001 (0.001)	Loss 2.2907 (2.0394)	Prec@1 42.000 (47.457)	Prec@5 75.500 (77.957)
Epoch: [42][6430/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.9901 (2.0394)	Prec@1 50.500 (47.455)	Prec@5 80.500 (77.958)
Epoch: [42][6440/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.4283 (2.0394)	Prec@1 39.500 (47.453)	Prec@5 72.000 (77.958)
Epoch: [42][6450/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.2928 (2.0396)	Prec@1 43.000 (47.451)	Prec@5 72.000 (77.955)
Epoch: [42][6460/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.9841 (2.0397)	Prec@1 50.500 (47.449)	Prec@5 75.500 (77.952)
Epoch: [42][6470/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9762 (2.0396)	Prec@1 46.500 (47.451)	Prec@5 81.000 (77.954)
Epoch: [42][6480/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9699 (2.0396)	Prec@1 49.000 (47.452)	Prec@5 81.000 (77.954)
Epoch: [42][6490/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9594 (2.0397)	Prec@1 48.000 (47.450)	Prec@5 74.000 (77.951)
Epoch: [42][6500/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.8206 (2.0397)	Prec@1 53.000 (47.451)	Prec@5 82.000 (77.951)
Epoch: [42][6510/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 1.8803 (2.0397)	Prec@1 46.500 (47.449)	Prec@5 84.000 (77.951)
Epoch: [42][6520/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.1962 (2.0397)	Prec@1 46.000 (47.448)	Prec@5 78.000 (77.951)
Epoch: [42][6530/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 1.9867 (2.0398)	Prec@1 48.500 (47.448)	Prec@5 78.000 (77.949)
Epoch: [42][6540/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0610 (2.0398)	Prec@1 47.000 (47.448)	Prec@5 78.500 (77.948)
Epoch: [42][6550/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1747 (2.0398)	Prec@1 44.500 (47.449)	Prec@5 76.500 (77.949)
Epoch: [42][6560/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1877 (2.0399)	Prec@1 45.000 (47.448)	Prec@5 75.000 (77.946)
Epoch: [42][6570/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 1.8349 (2.0399)	Prec@1 51.000 (47.447)	Prec@5 79.500 (77.946)
Epoch: [42][6580/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1513 (2.0398)	Prec@1 48.000 (47.448)	Prec@5 77.500 (77.948)
Epoch: [42][6590/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 1.9175 (2.0397)	Prec@1 49.000 (47.448)	Prec@5 80.000 (77.950)
Epoch: [42][6600/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.1977 (2.0397)	Prec@1 41.000 (47.446)	Prec@5 77.500 (77.950)
Epoch: [42][6610/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.2055 (2.0398)	Prec@1 45.500 (47.445)	Prec@5 74.500 (77.951)
Epoch: [42][6620/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0831 (2.0397)	Prec@1 46.000 (47.445)	Prec@5 77.500 (77.953)
Epoch: [42][6630/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9460 (2.0398)	Prec@1 50.500 (47.443)	Prec@5 83.000 (77.952)
Epoch: [42][6640/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.9675 (2.0398)	Prec@1 49.000 (47.442)	Prec@5 79.500 (77.953)
Epoch: [42][6650/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 1.9807 (2.0398)	Prec@1 47.000 (47.442)	Prec@5 82.000 (77.953)
Epoch: [42][6660/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.0393 (2.0400)	Prec@1 47.000 (47.440)	Prec@5 76.000 (77.949)
Epoch: [42][6670/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.1650 (2.0401)	Prec@1 47.000 (47.438)	Prec@5 76.000 (77.944)
Epoch: [42][6680/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0508 (2.0400)	Prec@1 46.500 (47.441)	Prec@5 80.500 (77.946)
Epoch: [42][6690/9018]	Time 0.589 (0.616)	Data 0.001 (0.001)	Loss 1.9733 (2.0400)	Prec@1 50.500 (47.441)	Prec@5 79.500 (77.947)
Epoch: [42][6700/9018]	Time 0.722 (0.616)	Data 0.001 (0.001)	Loss 2.1342 (2.0400)	Prec@1 45.000 (47.441)	Prec@5 75.000 (77.946)
Epoch: [42][6710/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9308 (2.0400)	Prec@1 48.500 (47.440)	Prec@5 77.000 (77.946)
Epoch: [42][6720/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.8016 (2.0399)	Prec@1 47.500 (47.441)	Prec@5 84.000 (77.946)
Epoch: [42][6730/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.1215 (2.0400)	Prec@1 46.000 (47.442)	Prec@5 81.000 (77.946)
Epoch: [42][6740/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 2.1651 (2.0400)	Prec@1 46.000 (47.440)	Prec@5 76.000 (77.944)
Epoch: [42][6750/9018]	Time 0.720 (0.616)	Data 0.001 (0.001)	Loss 2.1573 (2.0401)	Prec@1 46.500 (47.438)	Prec@5 74.500 (77.943)
Epoch: [42][6760/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 1.9600 (2.0402)	Prec@1 49.500 (47.437)	Prec@5 82.500 (77.942)
Epoch: [42][6770/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.1806 (2.0402)	Prec@1 42.000 (47.437)	Prec@5 74.500 (77.940)
Epoch: [42][6780/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.9180 (2.0402)	Prec@1 46.500 (47.434)	Prec@5 79.500 (77.941)
Epoch: [42][6790/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.0427 (2.0403)	Prec@1 44.000 (47.432)	Prec@5 80.000 (77.941)
Epoch: [42][6800/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.0328 (2.0403)	Prec@1 49.500 (47.432)	Prec@5 76.000 (77.940)
Epoch: [42][6810/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 1.9741 (2.0404)	Prec@1 47.000 (47.432)	Prec@5 81.500 (77.939)
Epoch: [42][6820/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.1175 (2.0404)	Prec@1 45.000 (47.432)	Prec@5 76.500 (77.939)
Epoch: [42][6830/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.2956 (2.0405)	Prec@1 46.000 (47.431)	Prec@5 70.500 (77.937)
Epoch: [42][6840/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.8946 (2.0405)	Prec@1 54.000 (47.432)	Prec@5 81.000 (77.936)
Epoch: [42][6850/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.9799 (2.0406)	Prec@1 47.000 (47.431)	Prec@5 79.000 (77.935)
Epoch: [42][6860/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 1.9204 (2.0406)	Prec@1 54.500 (47.430)	Prec@5 78.000 (77.934)
Epoch: [42][6870/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.0995 (2.0405)	Prec@1 46.500 (47.430)	Prec@5 73.500 (77.936)
Epoch: [42][6880/9018]	Time 0.637 (0.616)	Data 0.001 (0.001)	Loss 2.2030 (2.0405)	Prec@1 43.000 (47.429)	Prec@5 77.000 (77.936)
Epoch: [42][6890/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.7942 (2.0406)	Prec@1 53.000 (47.429)	Prec@5 83.500 (77.935)
Epoch: [42][6900/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1528 (2.0405)	Prec@1 42.500 (47.430)	Prec@5 78.500 (77.936)
Epoch: [42][6910/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.8767 (2.0405)	Prec@1 48.000 (47.429)	Prec@5 79.500 (77.935)
Epoch: [42][6920/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.1440 (2.0406)	Prec@1 45.500 (47.428)	Prec@5 78.500 (77.934)
Epoch: [42][6930/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1598 (2.0406)	Prec@1 46.500 (47.429)	Prec@5 73.500 (77.934)
Epoch: [42][6940/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0219 (2.0406)	Prec@1 45.000 (47.429)	Prec@5 78.000 (77.933)
Epoch: [42][6950/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 1.7435 (2.0406)	Prec@1 56.500 (47.428)	Prec@5 82.500 (77.933)
Epoch: [42][6960/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.7189 (2.0406)	Prec@1 53.000 (47.431)	Prec@5 82.000 (77.935)
Epoch: [42][6970/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.7956 (2.0407)	Prec@1 52.500 (47.428)	Prec@5 84.000 (77.934)
Epoch: [42][6980/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 1.9453 (2.0406)	Prec@1 48.000 (47.429)	Prec@5 76.500 (77.935)
Epoch: [42][6990/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 1.8507 (2.0407)	Prec@1 49.000 (47.427)	Prec@5 84.500 (77.934)
Epoch: [42][7000/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0995 (2.0406)	Prec@1 44.000 (47.430)	Prec@5 73.500 (77.934)
Epoch: [42][7010/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 2.1170 (2.0407)	Prec@1 45.500 (47.429)	Prec@5 78.000 (77.933)
Epoch: [42][7020/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.9925 (2.0407)	Prec@1 48.500 (47.428)	Prec@5 78.000 (77.934)
Epoch: [42][7030/9018]	Time 0.718 (0.616)	Data 0.001 (0.001)	Loss 2.0192 (2.0407)	Prec@1 48.000 (47.428)	Prec@5 81.000 (77.934)
Epoch: [42][7040/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.2068 (2.0407)	Prec@1 45.500 (47.428)	Prec@5 75.000 (77.935)
Epoch: [42][7050/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 1.9539 (2.0407)	Prec@1 48.000 (47.425)	Prec@5 82.500 (77.933)
Epoch: [42][7060/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.0283 (2.0408)	Prec@1 49.000 (47.424)	Prec@5 75.000 (77.931)
Epoch: [42][7070/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.0244 (2.0408)	Prec@1 44.500 (47.424)	Prec@5 74.500 (77.930)
Epoch: [42][7080/9018]	Time 0.748 (0.616)	Data 0.001 (0.001)	Loss 1.8825 (2.0409)	Prec@1 49.000 (47.425)	Prec@5 79.000 (77.927)
Epoch: [42][7090/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.9987 (2.0410)	Prec@1 53.000 (47.424)	Prec@5 77.500 (77.925)
Epoch: [42][7100/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 2.1281 (2.0410)	Prec@1 50.500 (47.423)	Prec@5 76.000 (77.924)
Epoch: [42][7110/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 2.1641 (2.0410)	Prec@1 47.000 (47.422)	Prec@5 77.000 (77.925)
Epoch: [42][7120/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0404 (2.0410)	Prec@1 46.500 (47.421)	Prec@5 76.000 (77.925)
Epoch: [42][7130/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.0807 (2.0411)	Prec@1 46.500 (47.422)	Prec@5 77.500 (77.926)
Epoch: [42][7140/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.2048 (2.0411)	Prec@1 42.000 (47.420)	Prec@5 72.000 (77.924)
Epoch: [42][7150/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.9625 (2.0412)	Prec@1 47.500 (47.419)	Prec@5 77.500 (77.923)
Epoch: [42][7160/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.1637 (2.0412)	Prec@1 47.500 (47.419)	Prec@5 78.000 (77.922)
Epoch: [42][7170/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.9127 (2.0412)	Prec@1 49.000 (47.419)	Prec@5 81.000 (77.925)
Epoch: [42][7180/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 2.0151 (2.0413)	Prec@1 49.500 (47.417)	Prec@5 80.000 (77.923)
Epoch: [42][7190/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.0727 (2.0413)	Prec@1 49.000 (47.418)	Prec@5 75.500 (77.922)
Epoch: [42][7200/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.4062 (2.0413)	Prec@1 36.500 (47.415)	Prec@5 70.500 (77.921)
Epoch: [42][7210/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.9329 (2.0414)	Prec@1 45.500 (47.413)	Prec@5 82.000 (77.922)
Epoch: [42][7220/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.1706 (2.0414)	Prec@1 45.500 (47.412)	Prec@5 78.500 (77.921)
Epoch: [42][7230/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 1.8060 (2.0414)	Prec@1 50.000 (47.414)	Prec@5 82.500 (77.922)
Epoch: [42][7240/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1784 (2.0415)	Prec@1 45.000 (47.411)	Prec@5 76.500 (77.920)
Epoch: [42][7250/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.1081 (2.0414)	Prec@1 42.000 (47.410)	Prec@5 78.000 (77.920)
Epoch: [42][7260/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1211 (2.0414)	Prec@1 46.500 (47.413)	Prec@5 75.000 (77.921)
Epoch: [42][7270/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0237 (2.0413)	Prec@1 46.500 (47.412)	Prec@5 78.000 (77.921)
Epoch: [42][7280/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.0829 (2.0413)	Prec@1 51.000 (47.413)	Prec@5 78.000 (77.922)
Epoch: [42][7290/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.1762 (2.0413)	Prec@1 44.500 (47.413)	Prec@5 79.500 (77.922)
Epoch: [42][7300/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.1348 (2.0414)	Prec@1 45.000 (47.412)	Prec@5 75.500 (77.921)
Epoch: [42][7310/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0939 (2.0414)	Prec@1 49.000 (47.412)	Prec@5 76.500 (77.920)
Epoch: [42][7320/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.9934 (2.0415)	Prec@1 49.000 (47.411)	Prec@5 78.500 (77.918)
Epoch: [42][7330/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9121 (2.0415)	Prec@1 49.500 (47.410)	Prec@5 81.000 (77.919)
Epoch: [42][7340/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.8705 (2.0415)	Prec@1 52.500 (47.408)	Prec@5 80.500 (77.918)
Epoch: [42][7350/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 2.2659 (2.0416)	Prec@1 42.000 (47.407)	Prec@5 73.000 (77.918)
Epoch: [42][7360/9018]	Time 0.761 (0.616)	Data 0.001 (0.001)	Loss 2.2482 (2.0415)	Prec@1 47.000 (47.407)	Prec@5 72.500 (77.918)
Epoch: [42][7370/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0479 (2.0416)	Prec@1 45.500 (47.406)	Prec@5 76.500 (77.918)
Epoch: [42][7380/9018]	Time 0.638 (0.616)	Data 0.001 (0.001)	Loss 2.0650 (2.0415)	Prec@1 47.000 (47.407)	Prec@5 76.500 (77.917)
Epoch: [42][7390/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.1642 (2.0415)	Prec@1 48.500 (47.407)	Prec@5 75.500 (77.918)
Epoch: [42][7400/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 1.9606 (2.0416)	Prec@1 44.500 (47.404)	Prec@5 81.000 (77.917)
Epoch: [42][7410/9018]	Time 0.711 (0.616)	Data 0.001 (0.001)	Loss 2.1095 (2.0416)	Prec@1 44.000 (47.401)	Prec@5 78.000 (77.916)
Epoch: [42][7420/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 2.1052 (2.0417)	Prec@1 50.000 (47.403)	Prec@5 76.500 (77.916)
Epoch: [42][7430/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.9977 (2.0417)	Prec@1 46.500 (47.402)	Prec@5 81.000 (77.914)
Epoch: [42][7440/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.8345 (2.0417)	Prec@1 55.500 (47.401)	Prec@5 78.500 (77.915)
Epoch: [42][7450/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.3483 (2.0417)	Prec@1 44.500 (47.400)	Prec@5 71.000 (77.916)
Epoch: [42][7460/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.3120 (2.0417)	Prec@1 44.000 (47.399)	Prec@5 73.500 (77.915)
Epoch: [42][7470/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 1.9988 (2.0418)	Prec@1 48.500 (47.397)	Prec@5 79.500 (77.915)
Epoch: [42][7480/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 2.0965 (2.0418)	Prec@1 42.000 (47.394)	Prec@5 78.000 (77.914)
Epoch: [42][7490/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 2.1639 (2.0419)	Prec@1 44.500 (47.393)	Prec@5 77.000 (77.914)
Epoch: [42][7500/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.9462 (2.0419)	Prec@1 52.000 (47.393)	Prec@5 81.000 (77.915)
Epoch: [42][7510/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.1405 (2.0419)	Prec@1 43.500 (47.393)	Prec@5 76.500 (77.914)
Epoch: [42][7520/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.0331 (2.0421)	Prec@1 50.500 (47.391)	Prec@5 79.000 (77.912)
Epoch: [42][7530/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.8676 (2.0420)	Prec@1 51.000 (47.391)	Prec@5 80.500 (77.913)
Epoch: [42][7540/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.1316 (2.0419)	Prec@1 48.500 (47.392)	Prec@5 77.000 (77.913)
Epoch: [42][7550/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.1392 (2.0420)	Prec@1 46.500 (47.392)	Prec@5 76.000 (77.912)
Epoch: [42][7560/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1976 (2.0420)	Prec@1 42.500 (47.390)	Prec@5 74.000 (77.911)
Epoch: [42][7570/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.0964 (2.0421)	Prec@1 48.500 (47.388)	Prec@5 80.000 (77.910)
Epoch: [42][7580/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 1.9105 (2.0421)	Prec@1 52.000 (47.390)	Prec@5 80.500 (77.909)
Epoch: [42][7590/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.8174 (2.0419)	Prec@1 53.000 (47.393)	Prec@5 81.500 (77.914)
Epoch: [42][7600/9018]	Time 0.636 (0.616)	Data 0.001 (0.001)	Loss 2.1315 (2.0419)	Prec@1 43.000 (47.393)	Prec@5 79.000 (77.914)
Epoch: [42][7610/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 2.2915 (2.0419)	Prec@1 46.500 (47.394)	Prec@5 75.000 (77.914)
Epoch: [42][7620/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0508 (2.0419)	Prec@1 46.000 (47.393)	Prec@5 77.000 (77.916)
Epoch: [42][7630/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9958 (2.0419)	Prec@1 48.000 (47.393)	Prec@5 77.500 (77.916)
Epoch: [42][7640/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0661 (2.0419)	Prec@1 46.500 (47.393)	Prec@5 80.000 (77.917)
Epoch: [42][7650/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.0583 (2.0419)	Prec@1 46.000 (47.393)	Prec@5 76.500 (77.917)
Epoch: [42][7660/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1379 (2.0420)	Prec@1 46.500 (47.391)	Prec@5 78.000 (77.912)
Epoch: [42][7670/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.2512 (2.0421)	Prec@1 45.500 (47.389)	Prec@5 73.000 (77.910)
Epoch: [42][7680/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.0928 (2.0422)	Prec@1 43.000 (47.389)	Prec@5 76.500 (77.910)
Epoch: [42][7690/9018]	Time 0.749 (0.616)	Data 0.001 (0.001)	Loss 2.1058 (2.0421)	Prec@1 44.500 (47.389)	Prec@5 77.500 (77.911)
Epoch: [42][7700/9018]	Time 0.629 (0.616)	Data 0.001 (0.001)	Loss 2.3321 (2.0422)	Prec@1 37.000 (47.388)	Prec@5 74.000 (77.908)
Epoch: [42][7710/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.2807 (2.0422)	Prec@1 44.500 (47.387)	Prec@5 72.500 (77.907)
Epoch: [42][7720/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 2.0800 (2.0423)	Prec@1 44.500 (47.385)	Prec@5 80.500 (77.906)
Epoch: [42][7730/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.1044 (2.0424)	Prec@1 44.000 (47.383)	Prec@5 75.000 (77.905)
Epoch: [42][7740/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.9745 (2.0424)	Prec@1 47.500 (47.382)	Prec@5 79.500 (77.904)
Epoch: [42][7750/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.0896 (2.0424)	Prec@1 46.000 (47.383)	Prec@5 77.000 (77.904)
Epoch: [42][7760/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.0965 (2.0423)	Prec@1 46.000 (47.383)	Prec@5 74.500 (77.905)
Epoch: [42][7770/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9763 (2.0423)	Prec@1 49.500 (47.384)	Prec@5 81.000 (77.907)
Epoch: [42][7780/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.0980 (2.0424)	Prec@1 44.000 (47.381)	Prec@5 78.000 (77.907)
Epoch: [42][7790/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.8966 (2.0423)	Prec@1 49.000 (47.383)	Prec@5 77.500 (77.908)
Epoch: [42][7800/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.1281 (2.0424)	Prec@1 49.000 (47.382)	Prec@5 74.000 (77.905)
Epoch: [42][7810/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1749 (2.0425)	Prec@1 41.500 (47.379)	Prec@5 75.000 (77.903)
Epoch: [42][7820/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.9837 (2.0425)	Prec@1 47.500 (47.378)	Prec@5 76.500 (77.903)
Epoch: [42][7830/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1841 (2.0425)	Prec@1 47.500 (47.379)	Prec@5 74.500 (77.903)
Epoch: [42][7840/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.9001 (2.0425)	Prec@1 48.000 (47.379)	Prec@5 75.500 (77.902)
Epoch: [42][7850/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1041 (2.0426)	Prec@1 45.000 (47.377)	Prec@5 80.000 (77.900)
Epoch: [42][7860/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0690 (2.0426)	Prec@1 45.000 (47.379)	Prec@5 76.000 (77.900)
Epoch: [42][7870/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1291 (2.0426)	Prec@1 46.000 (47.378)	Prec@5 76.000 (77.899)
Epoch: [42][7880/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.9801 (2.0427)	Prec@1 51.000 (47.377)	Prec@5 77.000 (77.897)
Epoch: [42][7890/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0255 (2.0426)	Prec@1 45.000 (47.377)	Prec@5 77.500 (77.898)
Epoch: [42][7900/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.3252 (2.0426)	Prec@1 37.500 (47.378)	Prec@5 73.500 (77.897)
Epoch: [42][7910/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.0341 (2.0426)	Prec@1 49.000 (47.379)	Prec@5 77.500 (77.897)
Epoch: [42][7920/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.8831 (2.0426)	Prec@1 53.000 (47.379)	Prec@5 83.000 (77.898)
Epoch: [42][7930/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0112 (2.0426)	Prec@1 49.000 (47.380)	Prec@5 79.500 (77.898)
Epoch: [42][7940/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 2.2763 (2.0426)	Prec@1 45.000 (47.380)	Prec@5 74.500 (77.898)
Epoch: [42][7950/9018]	Time 0.607 (0.616)	Data 0.002 (0.001)	Loss 2.0441 (2.0427)	Prec@1 47.000 (47.377)	Prec@5 76.500 (77.897)
Epoch: [42][7960/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 1.9314 (2.0427)	Prec@1 47.500 (47.376)	Prec@5 80.000 (77.897)
Epoch: [42][7970/9018]	Time 0.775 (0.616)	Data 0.001 (0.001)	Loss 2.0065 (2.0427)	Prec@1 47.000 (47.378)	Prec@5 78.000 (77.898)
Epoch: [42][7980/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 1.8932 (2.0427)	Prec@1 49.500 (47.377)	Prec@5 80.000 (77.898)
Epoch: [42][7990/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.3792 (2.0428)	Prec@1 41.500 (47.377)	Prec@5 70.500 (77.897)
Epoch: [42][8000/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1435 (2.0428)	Prec@1 44.000 (47.376)	Prec@5 74.000 (77.896)
Epoch: [42][8010/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9740 (2.0428)	Prec@1 46.000 (47.375)	Prec@5 83.500 (77.898)
Epoch: [42][8020/9018]	Time 0.722 (0.616)	Data 0.001 (0.001)	Loss 2.1012 (2.0428)	Prec@1 45.500 (47.375)	Prec@5 75.500 (77.898)
Epoch: [42][8030/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.0700 (2.0429)	Prec@1 43.500 (47.373)	Prec@5 78.000 (77.897)
Epoch: [42][8040/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0603 (2.0429)	Prec@1 47.000 (47.374)	Prec@5 77.500 (77.897)
Epoch: [42][8050/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0473 (2.0429)	Prec@1 44.500 (47.374)	Prec@5 81.500 (77.897)
Epoch: [42][8060/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 2.0564 (2.0429)	Prec@1 47.000 (47.372)	Prec@5 76.000 (77.896)
Epoch: [42][8070/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.0475 (2.0430)	Prec@1 48.500 (47.370)	Prec@5 75.500 (77.894)
Epoch: [42][8080/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0915 (2.0430)	Prec@1 49.500 (47.369)	Prec@5 78.000 (77.896)
Epoch: [42][8090/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0798 (2.0430)	Prec@1 39.000 (47.369)	Prec@5 78.000 (77.896)
Epoch: [42][8100/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 1.9948 (2.0430)	Prec@1 50.500 (47.370)	Prec@5 78.000 (77.897)
Epoch: [42][8110/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9028 (2.0430)	Prec@1 53.000 (47.371)	Prec@5 83.000 (77.898)
Epoch: [42][8120/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 1.9005 (2.0430)	Prec@1 51.000 (47.372)	Prec@5 81.000 (77.897)
Epoch: [42][8130/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 2.0599 (2.0430)	Prec@1 45.500 (47.370)	Prec@5 78.000 (77.896)
Epoch: [42][8140/9018]	Time 0.592 (0.616)	Data 0.001 (0.001)	Loss 2.0787 (2.0431)	Prec@1 45.000 (47.372)	Prec@5 79.500 (77.894)
Epoch: [42][8150/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 1.8038 (2.0431)	Prec@1 52.500 (47.371)	Prec@5 83.000 (77.895)
Epoch: [42][8160/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 2.0163 (2.0431)	Prec@1 46.500 (47.371)	Prec@5 80.000 (77.893)
Epoch: [42][8170/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1093 (2.0431)	Prec@1 48.500 (47.372)	Prec@5 77.000 (77.893)
Epoch: [42][8180/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.1379 (2.0432)	Prec@1 43.000 (47.369)	Prec@5 75.000 (77.890)
Epoch: [42][8190/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.9034 (2.0432)	Prec@1 52.000 (47.370)	Prec@5 82.000 (77.890)
Epoch: [42][8200/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0643 (2.0432)	Prec@1 45.000 (47.369)	Prec@5 76.000 (77.890)
Epoch: [42][8210/9018]	Time 0.593 (0.616)	Data 0.001 (0.001)	Loss 1.9489 (2.0433)	Prec@1 49.500 (47.367)	Prec@5 82.000 (77.889)
Epoch: [42][8220/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9830 (2.0433)	Prec@1 50.000 (47.368)	Prec@5 80.000 (77.889)
Epoch: [42][8230/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 2.0193 (2.0433)	Prec@1 47.500 (47.368)	Prec@5 77.500 (77.888)
Epoch: [42][8240/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.0062 (2.0433)	Prec@1 46.500 (47.368)	Prec@5 77.500 (77.889)
Epoch: [42][8250/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.8293 (2.0433)	Prec@1 46.500 (47.370)	Prec@5 84.000 (77.890)
Epoch: [42][8260/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0458 (2.0433)	Prec@1 47.000 (47.369)	Prec@5 79.000 (77.889)
Epoch: [42][8270/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1804 (2.0434)	Prec@1 49.500 (47.368)	Prec@5 73.500 (77.888)
Epoch: [42][8280/9018]	Time 0.630 (0.616)	Data 0.001 (0.001)	Loss 2.0483 (2.0433)	Prec@1 43.000 (47.370)	Prec@5 77.000 (77.889)
Epoch: [42][8290/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 1.9621 (2.0434)	Prec@1 52.000 (47.369)	Prec@5 77.000 (77.888)
Epoch: [42][8300/9018]	Time 0.764 (0.616)	Data 0.001 (0.001)	Loss 2.1847 (2.0434)	Prec@1 45.000 (47.370)	Prec@5 76.000 (77.888)
Epoch: [42][8310/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 2.2169 (2.0434)	Prec@1 46.500 (47.369)	Prec@5 74.500 (77.888)
Epoch: [42][8320/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9781 (2.0433)	Prec@1 46.500 (47.370)	Prec@5 80.500 (77.889)
Epoch: [42][8330/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.2711 (2.0434)	Prec@1 35.000 (47.368)	Prec@5 75.000 (77.888)
Epoch: [42][8340/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0714 (2.0434)	Prec@1 44.500 (47.367)	Prec@5 79.000 (77.889)
Epoch: [42][8350/9018]	Time 0.762 (0.616)	Data 0.001 (0.001)	Loss 1.8120 (2.0434)	Prec@1 49.000 (47.368)	Prec@5 82.000 (77.890)
Epoch: [42][8360/9018]	Time 0.596 (0.616)	Data 0.001 (0.001)	Loss 1.9915 (2.0434)	Prec@1 50.500 (47.368)	Prec@5 79.500 (77.890)
Epoch: [42][8370/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.8827 (2.0434)	Prec@1 48.500 (47.369)	Prec@5 81.500 (77.891)
Epoch: [42][8380/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 2.1204 (2.0434)	Prec@1 46.500 (47.367)	Prec@5 77.000 (77.889)
Epoch: [42][8390/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 2.0011 (2.0435)	Prec@1 47.500 (47.366)	Prec@5 78.000 (77.889)
Epoch: [42][8400/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.0988 (2.0436)	Prec@1 46.500 (47.363)	Prec@5 75.500 (77.886)
Epoch: [42][8410/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.0749 (2.0436)	Prec@1 47.000 (47.363)	Prec@5 77.000 (77.886)
Epoch: [42][8420/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1142 (2.0436)	Prec@1 47.500 (47.363)	Prec@5 75.500 (77.884)
Epoch: [42][8430/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.8538 (2.0436)	Prec@1 48.000 (47.363)	Prec@5 82.000 (77.887)
Epoch: [42][8440/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.0165 (2.0436)	Prec@1 48.000 (47.363)	Prec@5 78.000 (77.887)
Epoch: [42][8450/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0742 (2.0436)	Prec@1 41.000 (47.362)	Prec@5 77.000 (77.888)
Epoch: [42][8460/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.8957 (2.0436)	Prec@1 52.000 (47.362)	Prec@5 78.000 (77.886)
Epoch: [42][8470/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 2.0813 (2.0436)	Prec@1 47.000 (47.361)	Prec@5 74.500 (77.885)
Epoch: [42][8480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8460 (2.0436)	Prec@1 51.500 (47.360)	Prec@5 79.000 (77.884)
Epoch: [42][8490/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0940 (2.0436)	Prec@1 47.000 (47.359)	Prec@5 78.500 (77.884)
Epoch: [42][8500/9018]	Time 0.638 (0.616)	Data 0.001 (0.001)	Loss 1.9126 (2.0436)	Prec@1 53.000 (47.361)	Prec@5 76.500 (77.883)
Epoch: [42][8510/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7610 (2.0435)	Prec@1 55.000 (47.363)	Prec@5 83.000 (77.884)
Epoch: [42][8520/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0829 (2.0436)	Prec@1 43.500 (47.362)	Prec@5 76.500 (77.884)
Epoch: [42][8530/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0239 (2.0436)	Prec@1 48.000 (47.362)	Prec@5 78.500 (77.884)
Epoch: [42][8540/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.9151 (2.0436)	Prec@1 50.000 (47.361)	Prec@5 81.500 (77.884)
Epoch: [42][8550/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2231 (2.0436)	Prec@1 41.500 (47.360)	Prec@5 76.000 (77.884)
Epoch: [42][8560/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1465 (2.0437)	Prec@1 45.500 (47.359)	Prec@5 74.000 (77.882)
Epoch: [42][8570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2412 (2.0438)	Prec@1 43.500 (47.358)	Prec@5 73.000 (77.880)
Epoch: [42][8580/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0559 (2.0439)	Prec@1 48.000 (47.358)	Prec@5 78.500 (77.880)
Epoch: [42][8590/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3740 (2.0439)	Prec@1 41.000 (47.357)	Prec@5 71.000 (77.877)
Epoch: [42][8600/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1471 (2.0439)	Prec@1 43.000 (47.355)	Prec@5 76.000 (77.878)
Epoch: [42][8610/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.9015 (2.0439)	Prec@1 52.000 (47.355)	Prec@5 83.500 (77.879)
Epoch: [42][8620/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9805 (2.0439)	Prec@1 48.500 (47.355)	Prec@5 81.000 (77.879)
Epoch: [42][8630/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.1130 (2.0440)	Prec@1 47.500 (47.355)	Prec@5 72.500 (77.877)
Epoch: [42][8640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0061 (2.0440)	Prec@1 48.000 (47.353)	Prec@5 80.000 (77.877)
Epoch: [42][8650/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9221 (2.0441)	Prec@1 50.000 (47.352)	Prec@5 79.500 (77.876)
Epoch: [42][8660/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0077 (2.0441)	Prec@1 44.000 (47.350)	Prec@5 79.000 (77.876)
Epoch: [42][8670/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9495 (2.0441)	Prec@1 48.000 (47.348)	Prec@5 78.500 (77.877)
Epoch: [42][8680/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.2116 (2.0441)	Prec@1 46.500 (47.348)	Prec@5 74.500 (77.876)
Epoch: [42][8690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9659 (2.0441)	Prec@1 49.500 (47.348)	Prec@5 82.500 (77.876)
Epoch: [42][8700/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.0790 (2.0441)	Prec@1 45.500 (47.348)	Prec@5 80.500 (77.877)
Epoch: [42][8710/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.3391 (2.0442)	Prec@1 39.000 (47.346)	Prec@5 71.000 (77.876)
Epoch: [42][8720/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1488 (2.0442)	Prec@1 46.500 (47.345)	Prec@5 74.500 (77.874)
Epoch: [42][8730/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.2303 (2.0442)	Prec@1 48.000 (47.345)	Prec@5 73.500 (77.876)
Epoch: [42][8740/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1562 (2.0442)	Prec@1 45.500 (47.344)	Prec@5 78.000 (77.875)
Epoch: [42][8750/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.2489 (2.0443)	Prec@1 47.000 (47.347)	Prec@5 73.000 (77.874)
Epoch: [42][8760/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8731 (2.0443)	Prec@1 52.000 (47.347)	Prec@5 78.000 (77.874)
Epoch: [42][8770/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8612 (2.0441)	Prec@1 53.500 (47.349)	Prec@5 79.000 (77.875)
Epoch: [42][8780/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2315 (2.0442)	Prec@1 40.500 (47.348)	Prec@5 75.000 (77.875)
Epoch: [42][8790/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.9990 (2.0442)	Prec@1 46.000 (47.348)	Prec@5 79.500 (77.874)
Epoch: [42][8800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1488 (2.0443)	Prec@1 47.000 (47.345)	Prec@5 74.000 (77.870)
Epoch: [42][8810/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0972 (2.0443)	Prec@1 41.000 (47.345)	Prec@5 75.000 (77.871)
Epoch: [42][8820/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.1252 (2.0443)	Prec@1 47.500 (47.345)	Prec@5 77.500 (77.871)
Epoch: [42][8830/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.1148 (2.0443)	Prec@1 41.500 (47.344)	Prec@5 76.500 (77.869)
Epoch: [42][8840/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.1861 (2.0444)	Prec@1 44.500 (47.342)	Prec@5 73.500 (77.867)
Epoch: [42][8850/9018]	Time 0.586 (0.615)	Data 0.001 (0.001)	Loss 2.0868 (2.0445)	Prec@1 47.500 (47.342)	Prec@5 76.000 (77.865)
Epoch: [42][8860/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3182 (2.0445)	Prec@1 42.000 (47.340)	Prec@5 73.000 (77.864)
Epoch: [42][8870/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9962 (2.0446)	Prec@1 49.500 (47.341)	Prec@5 79.000 (77.862)
Epoch: [42][8880/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2693 (2.0447)	Prec@1 43.000 (47.339)	Prec@5 74.000 (77.863)
Epoch: [42][8890/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.1609 (2.0448)	Prec@1 47.500 (47.336)	Prec@5 74.500 (77.860)
Epoch: [42][8900/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0152 (2.0449)	Prec@1 51.000 (47.336)	Prec@5 75.500 (77.859)
Epoch: [42][8910/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9603 (2.0449)	Prec@1 48.000 (47.335)	Prec@5 79.500 (77.859)
Epoch: [42][8920/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9553 (2.0449)	Prec@1 47.000 (47.335)	Prec@5 80.500 (77.858)
Epoch: [42][8930/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1074 (2.0448)	Prec@1 48.500 (47.336)	Prec@5 77.500 (77.860)
Epoch: [42][8940/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.9155 (2.0448)	Prec@1 49.000 (47.335)	Prec@5 77.000 (77.860)
Epoch: [42][8950/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0351 (2.0448)	Prec@1 42.000 (47.337)	Prec@5 83.500 (77.861)
Epoch: [42][8960/9018]	Time 0.749 (0.615)	Data 0.001 (0.001)	Loss 2.2803 (2.0449)	Prec@1 45.000 (47.336)	Prec@5 71.500 (77.857)
Epoch: [42][8970/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0114 (2.0449)	Prec@1 53.500 (47.334)	Prec@5 74.000 (77.856)
Epoch: [42][8980/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2909 (2.0450)	Prec@1 42.500 (47.333)	Prec@5 69.000 (77.854)
Epoch: [42][8990/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7893 (2.0449)	Prec@1 54.000 (47.335)	Prec@5 84.500 (77.855)
Epoch: [42][9000/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0727 (2.0450)	Prec@1 46.500 (47.333)	Prec@5 77.000 (77.853)
Epoch: [42][9010/9018]	Time 0.725 (0.615)	Data 0.000 (0.001)	Loss 2.0914 (2.0450)	Prec@1 43.500 (47.333)	Prec@5 78.500 (77.853)
Test: [0/183]	Time 1.447 (1.447)	Loss 2.5440 (2.5440)	Prec@1 36.000 (36.000)	Prec@5 69.000 (69.000)
Test: [10/183]	Time 0.188 (0.316)	Loss 1.7535 (1.8141)	Prec@1 55.500 (51.818)	Prec@5 81.000 (83.364)
Test: [20/183]	Time 0.190 (0.258)	Loss 2.1149 (1.7359)	Prec@1 42.500 (53.690)	Prec@5 76.000 (83.690)
Test: [30/183]	Time 0.189 (0.239)	Loss 2.3172 (1.7495)	Prec@1 30.500 (52.613)	Prec@5 77.500 (83.677)
Test: [40/183]	Time 0.195 (0.228)	Loss 2.2411 (1.7314)	Prec@1 35.500 (53.561)	Prec@5 81.500 (83.598)
Test: [50/183]	Time 0.190 (0.221)	Loss 1.6254 (1.7183)	Prec@1 52.000 (54.088)	Prec@5 85.500 (83.706)
Test: [60/183]	Time 0.199 (0.218)	Loss 2.1414 (1.7892)	Prec@1 46.000 (51.992)	Prec@5 74.500 (82.861)
Test: [70/183]	Time 0.190 (0.215)	Loss 1.7304 (1.7760)	Prec@1 55.000 (52.120)	Prec@5 84.000 (83.268)
Test: [80/183]	Time 0.180 (0.212)	Loss 1.4937 (1.7644)	Prec@1 53.000 (52.062)	Prec@5 93.500 (83.364)
Test: [90/183]	Time 0.188 (0.209)	Loss 2.3835 (1.7661)	Prec@1 39.000 (52.038)	Prec@5 73.500 (83.412)
Test: [100/183]	Time 0.193 (0.208)	Loss 0.6246 (1.7610)	Prec@1 81.500 (52.292)	Prec@5 97.000 (83.495)
Test: [110/183]	Time 0.190 (0.207)	Loss 0.5836 (1.7594)	Prec@1 87.000 (52.441)	Prec@5 97.500 (83.378)
Test: [120/183]	Time 0.189 (0.205)	Loss 2.2064 (1.7612)	Prec@1 40.500 (52.302)	Prec@5 73.500 (83.479)
Test: [130/183]	Time 0.204 (0.205)	Loss 2.9775 (1.7679)	Prec@1 23.500 (52.202)	Prec@5 68.000 (83.500)
Test: [140/183]	Time 0.183 (0.204)	Loss 1.4399 (1.7533)	Prec@1 61.500 (52.670)	Prec@5 87.000 (83.699)
Test: [150/183]	Time 0.182 (0.203)	Loss 0.4658 (1.7442)	Prec@1 90.500 (52.957)	Prec@5 99.000 (83.768)
Test: [160/183]	Time 0.189 (0.203)	Loss 1.4639 (1.7397)	Prec@1 59.500 (53.199)	Prec@5 87.500 (83.863)
Test: [170/183]	Time 0.187 (0.202)	Loss 2.4119 (1.7582)	Prec@1 35.500 (52.734)	Prec@5 74.500 (83.541)
Test: [180/183]	Time 0.177 (0.201)	Loss 2.2586 (1.7745)	Prec@1 41.000 (52.434)	Prec@5 80.000 (83.331)
 * Prec@1 52.419 Prec@5 83.321
Epoch: [43][0/9018]	Time 2.769 (2.769)	Data 2.140 (2.140)	Loss 2.0049 (2.0049)	Prec@1 47.000 (47.000)	Prec@5 78.000 (78.000)
Epoch: [43][10/9018]	Time 0.594 (0.810)	Data 0.001 (0.195)	Loss 1.8067 (1.9950)	Prec@1 49.500 (47.955)	Prec@5 81.500 (78.818)
Epoch: [43][20/9018]	Time 0.594 (0.708)	Data 0.001 (0.103)	Loss 2.2251 (1.9999)	Prec@1 46.500 (47.952)	Prec@5 74.000 (78.571)
Epoch: [43][30/9018]	Time 0.626 (0.678)	Data 0.001 (0.070)	Loss 2.0352 (1.9962)	Prec@1 47.500 (48.306)	Prec@5 75.500 (78.565)
Epoch: [43][40/9018]	Time 0.606 (0.661)	Data 0.001 (0.053)	Loss 2.0618 (2.0045)	Prec@1 45.500 (48.085)	Prec@5 77.000 (78.415)
Epoch: [43][50/9018]	Time 0.629 (0.653)	Data 0.001 (0.043)	Loss 1.7937 (2.0023)	Prec@1 50.500 (48.020)	Prec@5 82.500 (78.627)
Epoch: [43][60/9018]	Time 0.592 (0.648)	Data 0.001 (0.036)	Loss 2.1580 (2.0149)	Prec@1 42.500 (47.680)	Prec@5 75.500 (78.590)
Epoch: [43][70/9018]	Time 0.600 (0.642)	Data 0.001 (0.031)	Loss 2.1662 (2.0244)	Prec@1 46.500 (47.451)	Prec@5 70.000 (78.162)
Epoch: [43][80/9018]	Time 0.601 (0.639)	Data 0.001 (0.027)	Loss 2.1853 (2.0286)	Prec@1 46.500 (47.457)	Prec@5 73.000 (78.012)
Epoch: [43][90/9018]	Time 0.735 (0.637)	Data 0.001 (0.024)	Loss 1.9910 (2.0310)	Prec@1 49.000 (47.363)	Prec@5 79.000 (77.962)
Epoch: [43][100/9018]	Time 0.634 (0.634)	Data 0.001 (0.022)	Loss 2.1074 (2.0294)	Prec@1 49.500 (47.307)	Prec@5 74.500 (77.990)
Epoch: [43][110/9018]	Time 0.599 (0.633)	Data 0.001 (0.020)	Loss 2.1663 (2.0279)	Prec@1 46.500 (47.428)	Prec@5 73.000 (78.032)
Epoch: [43][120/9018]	Time 0.607 (0.631)	Data 0.001 (0.018)	Loss 2.0968 (2.0287)	Prec@1 48.500 (47.483)	Prec@5 78.500 (77.975)
Epoch: [43][130/9018]	Time 0.592 (0.629)	Data 0.001 (0.017)	Loss 2.0655 (2.0248)	Prec@1 43.500 (47.557)	Prec@5 76.000 (78.076)
Epoch: [43][140/9018]	Time 0.729 (0.629)	Data 0.001 (0.016)	Loss 2.3005 (2.0291)	Prec@1 44.000 (47.535)	Prec@5 76.000 (78.032)
Epoch: [43][150/9018]	Time 0.604 (0.627)	Data 0.001 (0.015)	Loss 2.0376 (2.0294)	Prec@1 48.500 (47.490)	Prec@5 78.500 (78.086)
Epoch: [43][160/9018]	Time 0.617 (0.627)	Data 0.001 (0.014)	Loss 1.7626 (2.0254)	Prec@1 54.000 (47.640)	Prec@5 84.000 (78.155)
Epoch: [43][170/9018]	Time 0.607 (0.626)	Data 0.001 (0.013)	Loss 2.0172 (2.0259)	Prec@1 47.500 (47.602)	Prec@5 75.500 (78.155)
Epoch: [43][180/9018]	Time 0.598 (0.625)	Data 0.001 (0.013)	Loss 2.0642 (2.0238)	Prec@1 44.500 (47.649)	Prec@5 78.000 (78.124)
Epoch: [43][190/9018]	Time 0.601 (0.625)	Data 0.001 (0.012)	Loss 1.9393 (2.0208)	Prec@1 47.500 (47.660)	Prec@5 78.000 (78.207)
Epoch: [43][200/9018]	Time 0.634 (0.624)	Data 0.001 (0.011)	Loss 2.0997 (2.0220)	Prec@1 48.000 (47.639)	Prec@5 79.000 (78.172)
Epoch: [43][210/9018]	Time 0.602 (0.624)	Data 0.001 (0.011)	Loss 1.9884 (2.0208)	Prec@1 48.500 (47.694)	Prec@5 79.000 (78.152)
Epoch: [43][220/9018]	Time 0.592 (0.623)	Data 0.001 (0.010)	Loss 2.2146 (2.0168)	Prec@1 46.500 (47.869)	Prec@5 77.000 (78.290)
Epoch: [43][230/9018]	Time 0.596 (0.623)	Data 0.001 (0.010)	Loss 2.1427 (2.0157)	Prec@1 45.500 (47.946)	Prec@5 75.000 (78.312)
Epoch: [43][240/9018]	Time 0.597 (0.623)	Data 0.001 (0.010)	Loss 2.0223 (2.0163)	Prec@1 46.000 (47.909)	Prec@5 75.000 (78.311)
Epoch: [43][250/9018]	Time 0.630 (0.622)	Data 0.001 (0.009)	Loss 1.8268 (2.0184)	Prec@1 47.500 (47.918)	Prec@5 82.000 (78.275)
Epoch: [43][260/9018]	Time 0.597 (0.622)	Data 0.001 (0.009)	Loss 2.1333 (2.0179)	Prec@1 44.000 (47.925)	Prec@5 76.000 (78.287)
Epoch: [43][270/9018]	Time 0.609 (0.622)	Data 0.001 (0.009)	Loss 1.9080 (2.0189)	Prec@1 49.000 (47.862)	Prec@5 79.000 (78.282)
Epoch: [43][280/9018]	Time 0.595 (0.622)	Data 0.001 (0.008)	Loss 1.7782 (2.0162)	Prec@1 55.500 (47.957)	Prec@5 79.500 (78.335)
Epoch: [43][290/9018]	Time 0.602 (0.621)	Data 0.001 (0.008)	Loss 2.0012 (2.0164)	Prec@1 48.500 (47.954)	Prec@5 76.000 (78.297)
Epoch: [43][300/9018]	Time 0.613 (0.621)	Data 0.001 (0.008)	Loss 2.0758 (2.0151)	Prec@1 46.000 (47.958)	Prec@5 75.000 (78.319)
Epoch: [43][310/9018]	Time 0.594 (0.621)	Data 0.001 (0.008)	Loss 1.9805 (2.0153)	Prec@1 49.000 (47.960)	Prec@5 78.500 (78.304)
Epoch: [43][320/9018]	Time 0.610 (0.621)	Data 0.001 (0.007)	Loss 2.0465 (2.0175)	Prec@1 46.500 (47.921)	Prec@5 78.000 (78.259)
Epoch: [43][330/9018]	Time 0.598 (0.620)	Data 0.001 (0.007)	Loss 1.8883 (2.0186)	Prec@1 49.500 (47.897)	Prec@5 80.500 (78.231)
Epoch: [43][340/9018]	Time 0.632 (0.621)	Data 0.001 (0.007)	Loss 2.0544 (2.0181)	Prec@1 45.500 (47.877)	Prec@5 76.500 (78.280)
Epoch: [43][350/9018]	Time 0.598 (0.620)	Data 0.001 (0.007)	Loss 2.1607 (2.0177)	Prec@1 42.500 (47.866)	Prec@5 76.000 (78.291)
Epoch: [43][360/9018]	Time 0.598 (0.620)	Data 0.001 (0.007)	Loss 1.9552 (2.0172)	Prec@1 50.500 (47.834)	Prec@5 79.500 (78.307)
Epoch: [43][370/9018]	Time 0.618 (0.620)	Data 0.001 (0.007)	Loss 2.0931 (2.0190)	Prec@1 45.000 (47.778)	Prec@5 78.500 (78.267)
Epoch: [43][380/9018]	Time 0.595 (0.620)	Data 0.001 (0.006)	Loss 1.9507 (2.0186)	Prec@1 51.000 (47.769)	Prec@5 80.500 (78.272)
Epoch: [43][390/9018]	Time 0.601 (0.620)	Data 0.001 (0.006)	Loss 2.0287 (2.0189)	Prec@1 48.000 (47.780)	Prec@5 77.500 (78.254)
Epoch: [43][400/9018]	Time 0.643 (0.619)	Data 0.001 (0.006)	Loss 1.8730 (2.0197)	Prec@1 52.000 (47.773)	Prec@5 79.500 (78.249)
Epoch: [43][410/9018]	Time 0.610 (0.619)	Data 0.001 (0.006)	Loss 2.3023 (2.0190)	Prec@1 42.000 (47.792)	Prec@5 72.500 (78.255)
Epoch: [43][420/9018]	Time 0.711 (0.619)	Data 0.001 (0.006)	Loss 1.9207 (2.0203)	Prec@1 49.500 (47.746)	Prec@5 80.500 (78.216)
Epoch: [43][430/9018]	Time 0.600 (0.619)	Data 0.001 (0.006)	Loss 1.8422 (2.0203)	Prec@1 50.500 (47.740)	Prec@5 79.500 (78.225)
Epoch: [43][440/9018]	Time 0.610 (0.619)	Data 0.001 (0.006)	Loss 2.3490 (2.0221)	Prec@1 36.000 (47.701)	Prec@5 74.500 (78.196)
Epoch: [43][450/9018]	Time 0.616 (0.619)	Data 0.001 (0.006)	Loss 2.2041 (2.0220)	Prec@1 45.000 (47.729)	Prec@5 77.500 (78.225)
Epoch: [43][460/9018]	Time 0.596 (0.619)	Data 0.001 (0.005)	Loss 1.9822 (2.0220)	Prec@1 49.500 (47.743)	Prec@5 77.500 (78.207)
Epoch: [43][470/9018]	Time 0.740 (0.619)	Data 0.001 (0.005)	Loss 2.1344 (2.0241)	Prec@1 45.500 (47.700)	Prec@5 73.500 (78.162)
Epoch: [43][480/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 2.0293 (2.0230)	Prec@1 50.500 (47.743)	Prec@5 79.500 (78.191)
Epoch: [43][490/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 2.0115 (2.0240)	Prec@1 44.500 (47.749)	Prec@5 78.000 (78.148)
Epoch: [43][500/9018]	Time 0.619 (0.618)	Data 0.001 (0.005)	Loss 2.3690 (2.0242)	Prec@1 41.000 (47.727)	Prec@5 69.500 (78.124)
Epoch: [43][510/9018]	Time 0.601 (0.618)	Data 0.001 (0.005)	Loss 2.0812 (2.0249)	Prec@1 45.500 (47.706)	Prec@5 75.500 (78.110)
Epoch: [43][520/9018]	Time 0.633 (0.618)	Data 0.001 (0.005)	Loss 2.0733 (2.0256)	Prec@1 51.000 (47.706)	Prec@5 78.000 (78.099)
Epoch: [43][530/9018]	Time 0.599 (0.618)	Data 0.001 (0.005)	Loss 1.8827 (2.0263)	Prec@1 53.500 (47.667)	Prec@5 80.000 (78.104)
Epoch: [43][540/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 1.9828 (2.0253)	Prec@1 50.000 (47.677)	Prec@5 82.500 (78.108)
Epoch: [43][550/9018]	Time 0.607 (0.618)	Data 0.001 (0.005)	Loss 1.9716 (2.0255)	Prec@1 51.500 (47.685)	Prec@5 79.500 (78.107)
Epoch: [43][560/9018]	Time 0.596 (0.618)	Data 0.001 (0.005)	Loss 1.8990 (2.0259)	Prec@1 50.500 (47.685)	Prec@5 79.500 (78.091)
Epoch: [43][570/9018]	Time 0.605 (0.618)	Data 0.001 (0.005)	Loss 1.9356 (2.0259)	Prec@1 46.500 (47.691)	Prec@5 81.500 (78.100)
Epoch: [43][580/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 1.8844 (2.0256)	Prec@1 51.500 (47.701)	Prec@5 83.500 (78.114)
Epoch: [43][590/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 2.1794 (2.0252)	Prec@1 42.500 (47.695)	Prec@5 76.500 (78.137)
Epoch: [43][600/9018]	Time 0.628 (0.618)	Data 0.001 (0.004)	Loss 1.8976 (2.0256)	Prec@1 52.500 (47.712)	Prec@5 78.000 (78.115)
Epoch: [43][610/9018]	Time 0.589 (0.618)	Data 0.001 (0.004)	Loss 2.0369 (2.0258)	Prec@1 48.500 (47.707)	Prec@5 77.000 (78.113)
Epoch: [43][620/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 2.0898 (2.0262)	Prec@1 47.500 (47.700)	Prec@5 75.500 (78.100)
Epoch: [43][630/9018]	Time 0.629 (0.618)	Data 0.001 (0.004)	Loss 2.0439 (2.0265)	Prec@1 45.500 (47.693)	Prec@5 75.000 (78.101)
Epoch: [43][640/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 2.0720 (2.0260)	Prec@1 49.000 (47.694)	Prec@5 77.500 (78.126)
Epoch: [43][650/9018]	Time 0.627 (0.617)	Data 0.001 (0.004)	Loss 2.2838 (2.0266)	Prec@1 42.500 (47.678)	Prec@5 71.500 (78.109)
Epoch: [43][660/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 1.9154 (2.0268)	Prec@1 47.000 (47.693)	Prec@5 80.000 (78.095)
Epoch: [43][670/9018]	Time 0.636 (0.618)	Data 0.001 (0.004)	Loss 1.9535 (2.0267)	Prec@1 50.000 (47.686)	Prec@5 75.500 (78.097)
Epoch: [43][680/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.1388 (2.0270)	Prec@1 40.500 (47.677)	Prec@5 78.500 (78.099)
Epoch: [43][690/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 1.9097 (2.0262)	Prec@1 51.000 (47.701)	Prec@5 80.500 (78.114)
Epoch: [43][700/9018]	Time 0.756 (0.617)	Data 0.001 (0.004)	Loss 2.0603 (2.0264)	Prec@1 49.500 (47.693)	Prec@5 77.500 (78.114)
Epoch: [43][710/9018]	Time 0.623 (0.617)	Data 0.001 (0.004)	Loss 2.2617 (2.0267)	Prec@1 46.500 (47.699)	Prec@5 74.500 (78.113)
Epoch: [43][720/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 2.0659 (2.0277)	Prec@1 50.000 (47.670)	Prec@5 77.500 (78.090)
Epoch: [43][730/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 2.0084 (2.0278)	Prec@1 49.500 (47.655)	Prec@5 81.000 (78.105)
Epoch: [43][740/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 2.0946 (2.0282)	Prec@1 49.000 (47.657)	Prec@5 76.500 (78.102)
Epoch: [43][750/9018]	Time 0.750 (0.617)	Data 0.001 (0.004)	Loss 2.0726 (2.0289)	Prec@1 46.000 (47.642)	Prec@5 79.500 (78.089)
Epoch: [43][760/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.1280 (2.0290)	Prec@1 44.500 (47.637)	Prec@5 78.500 (78.082)
Epoch: [43][770/9018]	Time 0.594 (0.617)	Data 0.001 (0.004)	Loss 2.1135 (2.0290)	Prec@1 45.500 (47.647)	Prec@5 79.500 (78.095)
Epoch: [43][780/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 2.1921 (2.0287)	Prec@1 43.500 (47.657)	Prec@5 78.000 (78.111)
Epoch: [43][790/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 1.6994 (2.0280)	Prec@1 50.000 (47.671)	Prec@5 83.500 (78.120)
Epoch: [43][800/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 1.9978 (2.0274)	Prec@1 50.000 (47.699)	Prec@5 76.000 (78.123)
Epoch: [43][810/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 1.9488 (2.0284)	Prec@1 52.000 (47.700)	Prec@5 78.500 (78.097)
Epoch: [43][820/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 1.8500 (2.0278)	Prec@1 52.000 (47.704)	Prec@5 79.000 (78.107)
Epoch: [43][830/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 1.9714 (2.0278)	Prec@1 52.000 (47.722)	Prec@5 79.000 (78.098)
Epoch: [43][840/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.8584 (2.0275)	Prec@1 50.500 (47.738)	Prec@5 80.500 (78.109)
Epoch: [43][850/9018]	Time 0.617 (0.617)	Data 0.001 (0.003)	Loss 2.0040 (2.0274)	Prec@1 45.000 (47.738)	Prec@5 80.000 (78.117)
Epoch: [43][860/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.0520 (2.0267)	Prec@1 47.500 (47.750)	Prec@5 81.000 (78.143)
Epoch: [43][870/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 1.9107 (2.0269)	Prec@1 54.000 (47.757)	Prec@5 79.000 (78.137)
Epoch: [43][880/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 1.7779 (2.0274)	Prec@1 53.500 (47.735)	Prec@5 83.000 (78.135)
Epoch: [43][890/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.0241 (2.0271)	Prec@1 46.000 (47.740)	Prec@5 79.000 (78.131)
Epoch: [43][900/9018]	Time 0.626 (0.617)	Data 0.001 (0.003)	Loss 2.0474 (2.0268)	Prec@1 50.000 (47.745)	Prec@5 78.500 (78.150)
Epoch: [43][910/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.1835 (2.0275)	Prec@1 45.500 (47.749)	Prec@5 77.500 (78.142)
Epoch: [43][920/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.0883 (2.0277)	Prec@1 43.500 (47.741)	Prec@5 78.000 (78.147)
Epoch: [43][930/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.0053 (2.0268)	Prec@1 44.000 (47.750)	Prec@5 81.500 (78.165)
Epoch: [43][940/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.1352 (2.0269)	Prec@1 45.500 (47.752)	Prec@5 76.500 (78.164)
Epoch: [43][950/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.8333 (2.0270)	Prec@1 49.500 (47.758)	Prec@5 80.500 (78.165)
Epoch: [43][960/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.8727 (2.0271)	Prec@1 47.500 (47.762)	Prec@5 81.500 (78.160)
Epoch: [43][970/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.9090 (2.0275)	Prec@1 51.500 (47.760)	Prec@5 78.500 (78.157)
Epoch: [43][980/9018]	Time 0.627 (0.616)	Data 0.001 (0.003)	Loss 1.8146 (2.0279)	Prec@1 51.000 (47.746)	Prec@5 80.500 (78.160)
Epoch: [43][990/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.8803 (2.0277)	Prec@1 46.000 (47.738)	Prec@5 82.500 (78.179)
Epoch: [43][1000/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 1.9999 (2.0282)	Prec@1 47.500 (47.731)	Prec@5 80.000 (78.164)
Epoch: [43][1010/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.9141 (2.0278)	Prec@1 51.500 (47.742)	Prec@5 80.000 (78.167)
Epoch: [43][1020/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.9223 (2.0279)	Prec@1 51.500 (47.738)	Prec@5 77.500 (78.158)
Epoch: [43][1030/9018]	Time 0.751 (0.616)	Data 0.001 (0.003)	Loss 1.9034 (2.0272)	Prec@1 53.000 (47.743)	Prec@5 77.500 (78.174)
Epoch: [43][1040/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.2311 (2.0271)	Prec@1 47.500 (47.747)	Prec@5 74.000 (78.178)
Epoch: [43][1050/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.0499 (2.0270)	Prec@1 48.500 (47.756)	Prec@5 80.000 (78.176)
Epoch: [43][1060/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.9609 (2.0274)	Prec@1 51.000 (47.746)	Prec@5 81.000 (78.161)
Epoch: [43][1070/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.0952 (2.0277)	Prec@1 45.000 (47.752)	Prec@5 77.000 (78.156)
Epoch: [43][1080/9018]	Time 0.714 (0.616)	Data 0.001 (0.003)	Loss 1.8676 (2.0274)	Prec@1 54.000 (47.760)	Prec@5 82.500 (78.160)
Epoch: [43][1090/9018]	Time 0.627 (0.616)	Data 0.001 (0.003)	Loss 1.9919 (2.0280)	Prec@1 49.500 (47.752)	Prec@5 79.000 (78.159)
Epoch: [43][1100/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.8456 (2.0278)	Prec@1 53.000 (47.748)	Prec@5 78.500 (78.157)
Epoch: [43][1110/9018]	Time 0.614 (0.616)	Data 0.001 (0.003)	Loss 2.1596 (2.0278)	Prec@1 41.500 (47.740)	Prec@5 76.500 (78.160)
Epoch: [43][1120/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.3201 (2.0280)	Prec@1 42.000 (47.731)	Prec@5 70.500 (78.157)
Epoch: [43][1130/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.8156 (2.0279)	Prec@1 50.000 (47.728)	Prec@5 81.500 (78.168)
Epoch: [43][1140/9018]	Time 0.632 (0.616)	Data 0.001 (0.003)	Loss 2.1179 (2.0287)	Prec@1 47.500 (47.713)	Prec@5 75.000 (78.151)
Epoch: [43][1150/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.0605 (2.0285)	Prec@1 48.000 (47.712)	Prec@5 80.000 (78.154)
Epoch: [43][1160/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 2.2674 (2.0291)	Prec@1 47.500 (47.695)	Prec@5 72.000 (78.144)
Epoch: [43][1170/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.1454 (2.0297)	Prec@1 46.000 (47.684)	Prec@5 75.000 (78.129)
Epoch: [43][1180/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.9363 (2.0297)	Prec@1 48.000 (47.674)	Prec@5 81.000 (78.134)
Epoch: [43][1190/9018]	Time 0.626 (0.616)	Data 0.001 (0.003)	Loss 1.9497 (2.0297)	Prec@1 53.500 (47.678)	Prec@5 76.500 (78.128)
Epoch: [43][1200/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.0848 (2.0296)	Prec@1 43.000 (47.680)	Prec@5 77.000 (78.126)
Epoch: [43][1210/9018]	Time 0.613 (0.616)	Data 0.001 (0.003)	Loss 2.1952 (2.0298)	Prec@1 44.500 (47.680)	Prec@5 74.500 (78.114)
Epoch: [43][1220/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.1121 (2.0302)	Prec@1 45.500 (47.676)	Prec@5 77.500 (78.104)
Epoch: [43][1230/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 1.9704 (2.0299)	Prec@1 48.500 (47.673)	Prec@5 79.000 (78.115)
Epoch: [43][1240/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.9350 (2.0303)	Prec@1 51.500 (47.664)	Prec@5 79.500 (78.104)
Epoch: [43][1250/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.0038 (2.0303)	Prec@1 47.500 (47.666)	Prec@5 78.000 (78.106)
Epoch: [43][1260/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9625 (2.0303)	Prec@1 48.500 (47.666)	Prec@5 79.500 (78.106)
Epoch: [43][1270/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.0695 (2.0305)	Prec@1 52.000 (47.668)	Prec@5 75.500 (78.104)
Epoch: [43][1280/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 1.8436 (2.0300)	Prec@1 54.500 (47.681)	Prec@5 81.500 (78.111)
Epoch: [43][1290/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.1548 (2.0301)	Prec@1 45.000 (47.685)	Prec@5 78.500 (78.114)
Epoch: [43][1300/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.7253 (2.0294)	Prec@1 56.000 (47.698)	Prec@5 82.000 (78.128)
Epoch: [43][1310/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.0919 (2.0291)	Prec@1 47.000 (47.706)	Prec@5 78.000 (78.129)
Epoch: [43][1320/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.8669 (2.0290)	Prec@1 51.000 (47.701)	Prec@5 83.500 (78.136)
Epoch: [43][1330/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9215 (2.0289)	Prec@1 50.500 (47.705)	Prec@5 80.000 (78.135)
Epoch: [43][1340/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.0074 (2.0286)	Prec@1 54.500 (47.717)	Prec@5 76.500 (78.146)
Epoch: [43][1350/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1403 (2.0291)	Prec@1 46.500 (47.707)	Prec@5 79.500 (78.134)
Epoch: [43][1360/9018]	Time 0.783 (0.616)	Data 0.001 (0.002)	Loss 1.8679 (2.0293)	Prec@1 50.000 (47.708)	Prec@5 82.000 (78.133)
Epoch: [43][1370/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0710 (2.0292)	Prec@1 45.500 (47.711)	Prec@5 78.000 (78.130)
Epoch: [43][1380/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.9803 (2.0292)	Prec@1 49.000 (47.715)	Prec@5 80.000 (78.129)
Epoch: [43][1390/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 1.9033 (2.0291)	Prec@1 51.000 (47.707)	Prec@5 79.500 (78.137)
Epoch: [43][1400/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2047 (2.0297)	Prec@1 37.000 (47.692)	Prec@5 75.000 (78.118)
Epoch: [43][1410/9018]	Time 0.740 (0.616)	Data 0.001 (0.002)	Loss 1.9220 (2.0292)	Prec@1 50.000 (47.697)	Prec@5 80.000 (78.126)
Epoch: [43][1420/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 2.2759 (2.0296)	Prec@1 39.000 (47.694)	Prec@5 72.000 (78.123)
Epoch: [43][1430/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 1.9623 (2.0298)	Prec@1 49.500 (47.687)	Prec@5 79.500 (78.118)
Epoch: [43][1440/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8159 (2.0299)	Prec@1 52.500 (47.691)	Prec@5 83.500 (78.119)
Epoch: [43][1450/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1906 (2.0304)	Prec@1 41.500 (47.674)	Prec@5 74.000 (78.112)
Epoch: [43][1460/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.8952 (2.0304)	Prec@1 51.500 (47.669)	Prec@5 80.500 (78.115)
Epoch: [43][1470/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 1.9174 (2.0302)	Prec@1 51.000 (47.681)	Prec@5 80.500 (78.120)
Epoch: [43][1480/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.8056 (2.0295)	Prec@1 51.000 (47.691)	Prec@5 81.500 (78.134)
Epoch: [43][1490/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.1240 (2.0292)	Prec@1 45.500 (47.692)	Prec@5 77.000 (78.150)
Epoch: [43][1500/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 1.9628 (2.0291)	Prec@1 49.500 (47.688)	Prec@5 76.500 (78.153)
Epoch: [43][1510/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.0254 (2.0291)	Prec@1 46.000 (47.688)	Prec@5 80.000 (78.151)
Epoch: [43][1520/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.0549 (2.0293)	Prec@1 45.000 (47.680)	Prec@5 79.000 (78.152)
Epoch: [43][1530/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.8218 (2.0294)	Prec@1 52.500 (47.680)	Prec@5 81.000 (78.153)
Epoch: [43][1540/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.1984 (2.0288)	Prec@1 43.500 (47.688)	Prec@5 75.000 (78.156)
Epoch: [43][1550/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.1345 (2.0291)	Prec@1 46.500 (47.680)	Prec@5 77.000 (78.151)
Epoch: [43][1560/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.0860 (2.0291)	Prec@1 42.500 (47.678)	Prec@5 76.500 (78.153)
Epoch: [43][1570/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.0570 (2.0295)	Prec@1 49.000 (47.681)	Prec@5 81.000 (78.147)
Epoch: [43][1580/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.1374 (2.0296)	Prec@1 45.000 (47.679)	Prec@5 76.000 (78.137)
Epoch: [43][1590/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 1.9402 (2.0294)	Prec@1 49.000 (47.690)	Prec@5 78.500 (78.142)
Epoch: [43][1600/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9983 (2.0293)	Prec@1 49.000 (47.700)	Prec@5 78.500 (78.146)
Epoch: [43][1610/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.8132 (2.0292)	Prec@1 55.500 (47.698)	Prec@5 81.000 (78.145)
Epoch: [43][1620/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.0035 (2.0296)	Prec@1 46.500 (47.687)	Prec@5 76.500 (78.132)
Epoch: [43][1630/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.0957 (2.0298)	Prec@1 47.000 (47.683)	Prec@5 77.500 (78.125)
Epoch: [43][1640/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.1145 (2.0298)	Prec@1 46.000 (47.689)	Prec@5 78.500 (78.128)
Epoch: [43][1650/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.0955 (2.0300)	Prec@1 44.500 (47.681)	Prec@5 82.000 (78.131)
Epoch: [43][1660/9018]	Time 0.589 (0.616)	Data 0.001 (0.002)	Loss 2.0009 (2.0300)	Prec@1 50.500 (47.681)	Prec@5 78.500 (78.132)
Epoch: [43][1670/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.8997 (2.0299)	Prec@1 49.000 (47.684)	Prec@5 80.500 (78.130)
Epoch: [43][1680/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.0267 (2.0302)	Prec@1 48.500 (47.683)	Prec@5 80.000 (78.120)
Epoch: [43][1690/9018]	Time 0.757 (0.616)	Data 0.001 (0.002)	Loss 2.1193 (2.0299)	Prec@1 49.000 (47.692)	Prec@5 77.500 (78.126)
Epoch: [43][1700/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.6609 (2.0293)	Prec@1 55.000 (47.705)	Prec@5 85.000 (78.131)
Epoch: [43][1710/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.3360 (2.0291)	Prec@1 41.000 (47.715)	Prec@5 70.500 (78.134)
Epoch: [43][1720/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.7392 (2.0291)	Prec@1 50.500 (47.712)	Prec@5 81.000 (78.138)
Epoch: [43][1730/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.8756 (2.0294)	Prec@1 51.000 (47.705)	Prec@5 80.000 (78.130)
Epoch: [43][1740/9018]	Time 0.731 (0.615)	Data 0.001 (0.002)	Loss 2.2002 (2.0298)	Prec@1 40.500 (47.695)	Prec@5 78.000 (78.129)
Epoch: [43][1750/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.9978 (2.0301)	Prec@1 42.000 (47.679)	Prec@5 78.500 (78.121)
Epoch: [43][1760/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.8706 (2.0297)	Prec@1 53.000 (47.689)	Prec@5 83.500 (78.127)
Epoch: [43][1770/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.9978 (2.0301)	Prec@1 46.500 (47.668)	Prec@5 81.500 (78.127)
Epoch: [43][1780/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.9536 (2.0303)	Prec@1 47.500 (47.664)	Prec@5 79.000 (78.128)
Epoch: [43][1790/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 1.8316 (2.0304)	Prec@1 54.000 (47.665)	Prec@5 82.500 (78.130)
Epoch: [43][1800/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9392 (2.0307)	Prec@1 50.000 (47.660)	Prec@5 80.500 (78.126)
Epoch: [43][1810/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9838 (2.0305)	Prec@1 47.000 (47.663)	Prec@5 79.500 (78.130)
Epoch: [43][1820/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.1043 (2.0303)	Prec@1 45.500 (47.664)	Prec@5 79.000 (78.137)
Epoch: [43][1830/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.2744 (2.0306)	Prec@1 39.000 (47.654)	Prec@5 73.000 (78.131)
Epoch: [43][1840/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9823 (2.0306)	Prec@1 47.500 (47.647)	Prec@5 78.500 (78.129)
Epoch: [43][1850/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.9931 (2.0302)	Prec@1 48.000 (47.656)	Prec@5 75.000 (78.132)
Epoch: [43][1860/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.2749 (2.0307)	Prec@1 44.500 (47.649)	Prec@5 74.000 (78.124)
Epoch: [43][1870/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 2.1002 (2.0307)	Prec@1 45.000 (47.649)	Prec@5 78.500 (78.126)
Epoch: [43][1880/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0080 (2.0308)	Prec@1 47.500 (47.648)	Prec@5 77.500 (78.123)
Epoch: [43][1890/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 1.9607 (2.0308)	Prec@1 44.500 (47.643)	Prec@5 84.500 (78.129)
Epoch: [43][1900/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.9229 (2.0308)	Prec@1 47.000 (47.644)	Prec@5 80.500 (78.129)
Epoch: [43][1910/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 1.9101 (2.0305)	Prec@1 51.500 (47.654)	Prec@5 78.000 (78.139)
Epoch: [43][1920/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.0809 (2.0309)	Prec@1 48.500 (47.646)	Prec@5 78.500 (78.136)
Epoch: [43][1930/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.9513 (2.0310)	Prec@1 49.500 (47.651)	Prec@5 79.000 (78.131)
Epoch: [43][1940/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.0657 (2.0313)	Prec@1 44.000 (47.645)	Prec@5 79.500 (78.125)
Epoch: [43][1950/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.0652 (2.0309)	Prec@1 44.500 (47.648)	Prec@5 79.000 (78.133)
Epoch: [43][1960/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9657 (2.0308)	Prec@1 50.000 (47.655)	Prec@5 80.500 (78.131)
Epoch: [43][1970/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.0163 (2.0311)	Prec@1 53.500 (47.648)	Prec@5 76.500 (78.127)
Epoch: [43][1980/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0548 (2.0308)	Prec@1 50.000 (47.653)	Prec@5 79.000 (78.134)
Epoch: [43][1990/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.7751 (2.0307)	Prec@1 52.000 (47.655)	Prec@5 81.000 (78.135)
Epoch: [43][2000/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 1.9957 (2.0305)	Prec@1 48.500 (47.660)	Prec@5 75.000 (78.139)
Epoch: [43][2010/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.1056 (2.0307)	Prec@1 43.000 (47.664)	Prec@5 81.500 (78.135)
Epoch: [43][2020/9018]	Time 0.738 (0.615)	Data 0.001 (0.002)	Loss 2.1285 (2.0307)	Prec@1 44.000 (47.663)	Prec@5 79.500 (78.137)
Epoch: [43][2030/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.9898 (2.0310)	Prec@1 47.000 (47.658)	Prec@5 79.000 (78.131)
Epoch: [43][2040/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.7670 (2.0308)	Prec@1 54.000 (47.660)	Prec@5 79.500 (78.130)
Epoch: [43][2050/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.3763 (2.0311)	Prec@1 43.500 (47.655)	Prec@5 69.500 (78.121)
Epoch: [43][2060/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0852 (2.0310)	Prec@1 50.500 (47.654)	Prec@5 78.500 (78.123)
Epoch: [43][2070/9018]	Time 0.732 (0.615)	Data 0.001 (0.002)	Loss 1.9326 (2.0309)	Prec@1 49.000 (47.654)	Prec@5 78.000 (78.120)
Epoch: [43][2080/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.1000 (2.0311)	Prec@1 42.000 (47.645)	Prec@5 75.000 (78.117)
Epoch: [43][2090/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9947 (2.0309)	Prec@1 47.500 (47.643)	Prec@5 80.000 (78.122)
Epoch: [43][2100/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.2004 (2.0308)	Prec@1 42.500 (47.639)	Prec@5 72.000 (78.122)
Epoch: [43][2110/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.2327 (2.0308)	Prec@1 42.500 (47.633)	Prec@5 76.500 (78.123)
Epoch: [43][2120/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.0415 (2.0307)	Prec@1 46.500 (47.632)	Prec@5 78.500 (78.127)
Epoch: [43][2130/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.0878 (2.0308)	Prec@1 46.000 (47.634)	Prec@5 77.000 (78.118)
Epoch: [43][2140/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.1978 (2.0312)	Prec@1 40.500 (47.625)	Prec@5 73.500 (78.109)
Epoch: [43][2150/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.9187 (2.0314)	Prec@1 50.500 (47.618)	Prec@5 82.000 (78.107)
Epoch: [43][2160/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.0911 (2.0313)	Prec@1 43.500 (47.616)	Prec@5 77.000 (78.109)
Epoch: [43][2170/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.0469 (2.0314)	Prec@1 43.500 (47.616)	Prec@5 73.500 (78.108)
Epoch: [43][2180/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 2.1259 (2.0311)	Prec@1 48.500 (47.626)	Prec@5 75.000 (78.107)
Epoch: [43][2190/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9686 (2.0312)	Prec@1 50.000 (47.625)	Prec@5 81.500 (78.105)
Epoch: [43][2200/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 1.9329 (2.0311)	Prec@1 52.500 (47.635)	Prec@5 79.000 (78.103)
Epoch: [43][2210/9018]	Time 0.630 (0.615)	Data 0.001 (0.002)	Loss 2.0669 (2.0311)	Prec@1 48.000 (47.632)	Prec@5 75.000 (78.103)
Epoch: [43][2220/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 1.9436 (2.0310)	Prec@1 49.000 (47.637)	Prec@5 79.000 (78.104)
Epoch: [43][2230/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.0595 (2.0311)	Prec@1 45.000 (47.633)	Prec@5 76.000 (78.105)
Epoch: [43][2240/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.0397 (2.0311)	Prec@1 47.500 (47.635)	Prec@5 78.500 (78.105)
Epoch: [43][2250/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 2.1485 (2.0313)	Prec@1 48.500 (47.635)	Prec@5 73.000 (78.101)
Epoch: [43][2260/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9551 (2.0309)	Prec@1 50.000 (47.640)	Prec@5 77.000 (78.104)
Epoch: [43][2270/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.8483 (2.0310)	Prec@1 52.000 (47.641)	Prec@5 80.500 (78.103)
Epoch: [43][2280/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.9478 (2.0309)	Prec@1 45.500 (47.647)	Prec@5 83.000 (78.104)
Epoch: [43][2290/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.0912 (2.0307)	Prec@1 46.500 (47.645)	Prec@5 75.500 (78.105)
Epoch: [43][2300/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.1314 (2.0305)	Prec@1 46.000 (47.648)	Prec@5 77.500 (78.105)
Epoch: [43][2310/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.9909 (2.0305)	Prec@1 50.500 (47.642)	Prec@5 74.500 (78.103)
Epoch: [43][2320/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.9042 (2.0304)	Prec@1 45.500 (47.641)	Prec@5 85.000 (78.108)
Epoch: [43][2330/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.0203 (2.0303)	Prec@1 50.500 (47.647)	Prec@5 76.000 (78.112)
Epoch: [43][2340/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.1072 (2.0306)	Prec@1 46.500 (47.640)	Prec@5 75.000 (78.103)
Epoch: [43][2350/9018]	Time 0.769 (0.615)	Data 0.001 (0.002)	Loss 1.8811 (2.0306)	Prec@1 51.000 (47.640)	Prec@5 76.500 (78.102)
Epoch: [43][2360/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.2724 (2.0308)	Prec@1 44.000 (47.640)	Prec@5 76.000 (78.100)
Epoch: [43][2370/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 1.9240 (2.0307)	Prec@1 51.000 (47.643)	Prec@5 77.000 (78.101)
Epoch: [43][2380/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.1011 (2.0306)	Prec@1 45.500 (47.643)	Prec@5 77.500 (78.104)
Epoch: [43][2390/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.1661 (2.0305)	Prec@1 47.500 (47.652)	Prec@5 76.500 (78.106)
Epoch: [43][2400/9018]	Time 0.740 (0.615)	Data 0.001 (0.002)	Loss 2.2726 (2.0304)	Prec@1 40.500 (47.655)	Prec@5 73.000 (78.106)
Epoch: [43][2410/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.8699 (2.0302)	Prec@1 52.000 (47.658)	Prec@5 83.000 (78.110)
Epoch: [43][2420/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9409 (2.0302)	Prec@1 50.500 (47.659)	Prec@5 79.000 (78.108)
Epoch: [43][2430/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.0635 (2.0304)	Prec@1 45.500 (47.650)	Prec@5 76.000 (78.103)
Epoch: [43][2440/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.2783 (2.0305)	Prec@1 40.500 (47.647)	Prec@5 76.000 (78.103)
Epoch: [43][2450/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9945 (2.0307)	Prec@1 47.500 (47.646)	Prec@5 79.000 (78.096)
Epoch: [43][2460/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.9836 (2.0309)	Prec@1 44.500 (47.643)	Prec@5 81.000 (78.102)
Epoch: [43][2470/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.1442 (2.0307)	Prec@1 48.000 (47.648)	Prec@5 79.000 (78.107)
Epoch: [43][2480/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.8982 (2.0307)	Prec@1 49.500 (47.647)	Prec@5 78.000 (78.104)
Epoch: [43][2490/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 1.7665 (2.0306)	Prec@1 55.000 (47.647)	Prec@5 82.000 (78.107)
Epoch: [43][2500/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.1193 (2.0307)	Prec@1 43.500 (47.647)	Prec@5 77.500 (78.106)
Epoch: [43][2510/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0629 (2.0307)	Prec@1 45.500 (47.647)	Prec@5 77.500 (78.101)
Epoch: [43][2520/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0558 (2.0309)	Prec@1 51.500 (47.648)	Prec@5 76.000 (78.094)
Epoch: [43][2530/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.1364 (2.0311)	Prec@1 44.500 (47.639)	Prec@5 73.000 (78.092)
Epoch: [43][2540/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.0975 (2.0310)	Prec@1 47.000 (47.639)	Prec@5 77.500 (78.090)
Epoch: [43][2550/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.1549 (2.0309)	Prec@1 45.000 (47.645)	Prec@5 76.000 (78.092)
Epoch: [43][2560/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.0626 (2.0313)	Prec@1 45.500 (47.639)	Prec@5 78.000 (78.083)
Epoch: [43][2570/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.1277 (2.0314)	Prec@1 46.500 (47.634)	Prec@5 76.500 (78.080)
Epoch: [43][2580/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.8926 (2.0313)	Prec@1 49.000 (47.639)	Prec@5 80.500 (78.078)
Epoch: [43][2590/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.1335 (2.0314)	Prec@1 48.000 (47.635)	Prec@5 77.500 (78.076)
Epoch: [43][2600/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.0003 (2.0316)	Prec@1 45.000 (47.637)	Prec@5 81.000 (78.075)
Epoch: [43][2610/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.0852 (2.0317)	Prec@1 49.000 (47.637)	Prec@5 81.500 (78.079)
Epoch: [43][2620/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.8465 (2.0314)	Prec@1 50.500 (47.640)	Prec@5 81.000 (78.083)
Epoch: [43][2630/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 2.0785 (2.0313)	Prec@1 46.500 (47.643)	Prec@5 74.500 (78.083)
Epoch: [43][2640/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.0243 (2.0312)	Prec@1 45.500 (47.646)	Prec@5 78.000 (78.086)
Epoch: [43][2650/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.9815 (2.0311)	Prec@1 52.000 (47.648)	Prec@5 78.000 (78.084)
Epoch: [43][2660/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.9672 (2.0309)	Prec@1 50.000 (47.647)	Prec@5 81.000 (78.092)
Epoch: [43][2670/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.0833 (2.0312)	Prec@1 48.500 (47.645)	Prec@5 75.000 (78.084)
Epoch: [43][2680/9018]	Time 0.725 (0.615)	Data 0.001 (0.002)	Loss 2.0370 (2.0312)	Prec@1 48.500 (47.645)	Prec@5 78.000 (78.086)
Epoch: [43][2690/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.0007 (2.0312)	Prec@1 46.500 (47.640)	Prec@5 79.000 (78.088)
Epoch: [43][2700/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.1180 (2.0312)	Prec@1 41.500 (47.638)	Prec@5 78.500 (78.087)
Epoch: [43][2710/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.4000 (2.0311)	Prec@1 37.500 (47.637)	Prec@5 72.500 (78.089)
Epoch: [43][2720/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 2.1405 (2.0313)	Prec@1 47.000 (47.634)	Prec@5 75.000 (78.082)
Epoch: [43][2730/9018]	Time 0.710 (0.615)	Data 0.001 (0.002)	Loss 2.1763 (2.0314)	Prec@1 46.000 (47.632)	Prec@5 73.500 (78.077)
Epoch: [43][2740/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.1270 (2.0317)	Prec@1 47.000 (47.627)	Prec@5 76.000 (78.071)
Epoch: [43][2750/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.9214 (2.0316)	Prec@1 48.500 (47.627)	Prec@5 80.000 (78.070)
Epoch: [43][2760/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.1901 (2.0317)	Prec@1 42.000 (47.626)	Prec@5 74.500 (78.067)
Epoch: [43][2770/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.9803 (2.0316)	Prec@1 48.500 (47.627)	Prec@5 79.500 (78.067)
Epoch: [43][2780/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.0066 (2.0316)	Prec@1 45.000 (47.623)	Prec@5 81.500 (78.067)
Epoch: [43][2790/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.0842 (2.0318)	Prec@1 47.000 (47.622)	Prec@5 78.500 (78.065)
Epoch: [43][2800/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0682 (2.0319)	Prec@1 49.000 (47.620)	Prec@5 80.000 (78.067)
Epoch: [43][2810/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.1626 (2.0320)	Prec@1 44.000 (47.622)	Prec@5 77.000 (78.066)
Epoch: [43][2820/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.7479 (2.0320)	Prec@1 49.500 (47.621)	Prec@5 83.000 (78.069)
Epoch: [43][2830/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 1.8729 (2.0320)	Prec@1 48.000 (47.621)	Prec@5 82.000 (78.073)
Epoch: [43][2840/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.2643 (2.0323)	Prec@1 41.000 (47.613)	Prec@5 75.000 (78.072)
Epoch: [43][2850/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 1.8823 (2.0323)	Prec@1 49.000 (47.609)	Prec@5 81.000 (78.070)
Epoch: [43][2860/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.3049 (2.0326)	Prec@1 43.000 (47.605)	Prec@5 75.000 (78.064)
Epoch: [43][2870/9018]	Time 0.639 (0.615)	Data 0.001 (0.002)	Loss 1.8207 (2.0327)	Prec@1 53.000 (47.608)	Prec@5 79.000 (78.062)
Epoch: [43][2880/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0328 (2.0328)	Prec@1 49.500 (47.602)	Prec@5 76.000 (78.060)
Epoch: [43][2890/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0267 (2.0330)	Prec@1 46.000 (47.597)	Prec@5 79.500 (78.057)
Epoch: [43][2900/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.1887 (2.0330)	Prec@1 47.500 (47.600)	Prec@5 75.500 (78.055)
Epoch: [43][2910/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2191 (2.0329)	Prec@1 44.500 (47.602)	Prec@5 74.500 (78.057)
Epoch: [43][2920/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0938 (2.0327)	Prec@1 51.000 (47.609)	Prec@5 78.500 (78.062)
Epoch: [43][2930/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9934 (2.0327)	Prec@1 53.000 (47.609)	Prec@5 79.500 (78.065)
Epoch: [43][2940/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0700 (2.0325)	Prec@1 42.000 (47.612)	Prec@5 78.500 (78.069)
Epoch: [43][2950/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8931 (2.0325)	Prec@1 55.000 (47.617)	Prec@5 83.000 (78.069)
Epoch: [43][2960/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9188 (2.0324)	Prec@1 50.500 (47.620)	Prec@5 78.500 (78.068)
Epoch: [43][2970/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1440 (2.0325)	Prec@1 45.500 (47.619)	Prec@5 75.000 (78.065)
Epoch: [43][2980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9980 (2.0326)	Prec@1 47.000 (47.613)	Prec@5 80.000 (78.058)
Epoch: [43][2990/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.9666 (2.0326)	Prec@1 48.000 (47.612)	Prec@5 75.500 (78.059)
Epoch: [43][3000/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1456 (2.0328)	Prec@1 46.500 (47.606)	Prec@5 74.500 (78.056)
Epoch: [43][3010/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.1925 (2.0329)	Prec@1 46.500 (47.603)	Prec@5 78.500 (78.054)
Epoch: [43][3020/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3181 (2.0332)	Prec@1 39.500 (47.599)	Prec@5 71.000 (78.048)
Epoch: [43][3030/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2666 (2.0334)	Prec@1 38.000 (47.595)	Prec@5 77.500 (78.049)
Epoch: [43][3040/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9651 (2.0333)	Prec@1 49.000 (47.591)	Prec@5 76.500 (78.048)
Epoch: [43][3050/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1256 (2.0332)	Prec@1 46.000 (47.592)	Prec@5 76.000 (78.052)
Epoch: [43][3060/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 1.9332 (2.0333)	Prec@1 50.500 (47.591)	Prec@5 77.500 (78.053)
Epoch: [43][3070/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0903 (2.0334)	Prec@1 50.000 (47.590)	Prec@5 72.500 (78.049)
Epoch: [43][3080/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9660 (2.0335)	Prec@1 51.500 (47.586)	Prec@5 82.500 (78.049)
Epoch: [43][3090/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.4089 (2.0336)	Prec@1 40.000 (47.585)	Prec@5 72.000 (78.044)
Epoch: [43][3100/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9258 (2.0335)	Prec@1 46.500 (47.583)	Prec@5 80.500 (78.045)
Epoch: [43][3110/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6979 (2.0335)	Prec@1 51.500 (47.583)	Prec@5 82.500 (78.047)
Epoch: [43][3120/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9454 (2.0335)	Prec@1 45.000 (47.584)	Prec@5 79.500 (78.048)
Epoch: [43][3130/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2868 (2.0339)	Prec@1 39.000 (47.578)	Prec@5 75.000 (78.040)
Epoch: [43][3140/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1103 (2.0340)	Prec@1 46.000 (47.575)	Prec@5 75.000 (78.039)
Epoch: [43][3150/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8509 (2.0340)	Prec@1 50.000 (47.575)	Prec@5 81.000 (78.040)
Epoch: [43][3160/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0321 (2.0339)	Prec@1 46.500 (47.573)	Prec@5 77.500 (78.039)
Epoch: [43][3170/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1562 (2.0337)	Prec@1 44.000 (47.582)	Prec@5 75.000 (78.040)
Epoch: [43][3180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2604 (2.0339)	Prec@1 43.500 (47.582)	Prec@5 71.500 (78.034)
Epoch: [43][3190/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.1401 (2.0339)	Prec@1 51.500 (47.582)	Prec@5 76.500 (78.035)
Epoch: [43][3200/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0275 (2.0339)	Prec@1 49.000 (47.582)	Prec@5 77.000 (78.037)
Epoch: [43][3210/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0255 (2.0339)	Prec@1 50.500 (47.582)	Prec@5 76.500 (78.035)
Epoch: [43][3220/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3042 (2.0342)	Prec@1 37.500 (47.574)	Prec@5 72.500 (78.029)
Epoch: [43][3230/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.9657 (2.0343)	Prec@1 48.500 (47.571)	Prec@5 76.500 (78.027)
Epoch: [43][3240/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.3737 (2.0345)	Prec@1 39.000 (47.560)	Prec@5 72.000 (78.024)
Epoch: [43][3250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1198 (2.0343)	Prec@1 45.500 (47.562)	Prec@5 76.500 (78.028)
Epoch: [43][3260/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0988 (2.0344)	Prec@1 45.000 (47.554)	Prec@5 77.500 (78.024)
Epoch: [43][3270/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0011 (2.0346)	Prec@1 47.000 (47.546)	Prec@5 76.500 (78.020)
Epoch: [43][3280/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2412 (2.0347)	Prec@1 43.500 (47.541)	Prec@5 76.500 (78.021)
Epoch: [43][3290/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9662 (2.0346)	Prec@1 52.000 (47.545)	Prec@5 78.500 (78.024)
Epoch: [43][3300/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9768 (2.0345)	Prec@1 51.500 (47.545)	Prec@5 79.000 (78.026)
Epoch: [43][3310/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0231 (2.0345)	Prec@1 48.000 (47.543)	Prec@5 80.500 (78.027)
Epoch: [43][3320/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9952 (2.0345)	Prec@1 49.000 (47.545)	Prec@5 79.500 (78.028)
Epoch: [43][3330/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1695 (2.0345)	Prec@1 48.000 (47.548)	Prec@5 73.000 (78.025)
Epoch: [43][3340/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 1.9790 (2.0345)	Prec@1 50.000 (47.551)	Prec@5 77.000 (78.019)
Epoch: [43][3350/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.1764 (2.0344)	Prec@1 44.000 (47.553)	Prec@5 77.500 (78.019)
Epoch: [43][3360/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9085 (2.0342)	Prec@1 50.000 (47.559)	Prec@5 81.000 (78.026)
Epoch: [43][3370/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0189 (2.0340)	Prec@1 45.000 (47.560)	Prec@5 77.500 (78.026)
Epoch: [43][3380/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8479 (2.0339)	Prec@1 54.000 (47.562)	Prec@5 79.500 (78.030)
Epoch: [43][3390/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 1.9298 (2.0341)	Prec@1 49.000 (47.560)	Prec@5 81.500 (78.027)
Epoch: [43][3400/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8671 (2.0340)	Prec@1 52.500 (47.565)	Prec@5 80.500 (78.027)
Epoch: [43][3410/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1912 (2.0344)	Prec@1 41.500 (47.554)	Prec@5 79.000 (78.022)
Epoch: [43][3420/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0940 (2.0346)	Prec@1 47.000 (47.542)	Prec@5 74.000 (78.018)
Epoch: [43][3430/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0653 (2.0346)	Prec@1 49.500 (47.541)	Prec@5 77.000 (78.018)
Epoch: [43][3440/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0052 (2.0346)	Prec@1 45.000 (47.537)	Prec@5 79.000 (78.018)
Epoch: [43][3450/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.0607 (2.0347)	Prec@1 44.000 (47.536)	Prec@5 77.500 (78.017)
Epoch: [43][3460/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9757 (2.0345)	Prec@1 49.500 (47.535)	Prec@5 78.500 (78.020)
Epoch: [43][3470/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.1581 (2.0346)	Prec@1 43.500 (47.533)	Prec@5 75.500 (78.020)
Epoch: [43][3480/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0208 (2.0345)	Prec@1 50.000 (47.533)	Prec@5 73.500 (78.020)
Epoch: [43][3490/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0365 (2.0343)	Prec@1 47.500 (47.537)	Prec@5 74.000 (78.023)
Epoch: [43][3500/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.8598 (2.0344)	Prec@1 50.500 (47.537)	Prec@5 82.500 (78.023)
Epoch: [43][3510/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0194 (2.0342)	Prec@1 51.000 (47.545)	Prec@5 77.000 (78.022)
Epoch: [43][3520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2925 (2.0341)	Prec@1 43.000 (47.549)	Prec@5 74.500 (78.025)
Epoch: [43][3530/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0133 (2.0342)	Prec@1 50.500 (47.548)	Prec@5 77.000 (78.025)
Epoch: [43][3540/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1598 (2.0343)	Prec@1 43.000 (47.547)	Prec@5 74.500 (78.023)
Epoch: [43][3550/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1344 (2.0344)	Prec@1 41.000 (47.545)	Prec@5 75.500 (78.017)
Epoch: [43][3560/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0541 (2.0345)	Prec@1 47.000 (47.546)	Prec@5 77.000 (78.011)
Epoch: [43][3570/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.2230 (2.0346)	Prec@1 43.000 (47.543)	Prec@5 73.500 (78.009)
Epoch: [43][3580/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1989 (2.0346)	Prec@1 39.000 (47.543)	Prec@5 77.500 (78.012)
Epoch: [43][3590/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7926 (2.0346)	Prec@1 52.000 (47.545)	Prec@5 85.000 (78.013)
Epoch: [43][3600/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9585 (2.0345)	Prec@1 51.000 (47.546)	Prec@5 80.500 (78.014)
Epoch: [43][3610/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8866 (2.0346)	Prec@1 48.000 (47.545)	Prec@5 78.000 (78.014)
Epoch: [43][3620/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9919 (2.0346)	Prec@1 51.000 (47.543)	Prec@5 79.000 (78.012)
Epoch: [43][3630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9925 (2.0346)	Prec@1 49.500 (47.544)	Prec@5 77.500 (78.015)
Epoch: [43][3640/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1402 (2.0346)	Prec@1 43.500 (47.545)	Prec@5 75.000 (78.015)
Epoch: [43][3650/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0344 (2.0348)	Prec@1 47.000 (47.539)	Prec@5 75.000 (78.012)
Epoch: [43][3660/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0996 (2.0346)	Prec@1 43.500 (47.542)	Prec@5 79.000 (78.015)
Epoch: [43][3670/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 1.9801 (2.0346)	Prec@1 47.000 (47.543)	Prec@5 80.500 (78.013)
Epoch: [43][3680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9351 (2.0347)	Prec@1 49.000 (47.544)	Prec@5 81.000 (78.012)
Epoch: [43][3690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1030 (2.0348)	Prec@1 46.500 (47.542)	Prec@5 76.000 (78.012)
Epoch: [43][3700/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1086 (2.0348)	Prec@1 42.000 (47.546)	Prec@5 76.500 (78.011)
Epoch: [43][3710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1083 (2.0348)	Prec@1 48.000 (47.544)	Prec@5 76.000 (78.007)
Epoch: [43][3720/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 1.9971 (2.0351)	Prec@1 47.000 (47.541)	Prec@5 79.000 (78.002)
Epoch: [43][3730/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9936 (2.0352)	Prec@1 54.000 (47.537)	Prec@5 77.000 (78.003)
Epoch: [43][3740/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9832 (2.0354)	Prec@1 47.000 (47.531)	Prec@5 78.000 (77.998)
Epoch: [43][3750/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.1009 (2.0353)	Prec@1 48.500 (47.530)	Prec@5 79.500 (78.001)
Epoch: [43][3760/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0681 (2.0353)	Prec@1 47.000 (47.529)	Prec@5 80.000 (77.999)
Epoch: [43][3770/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 1.9474 (2.0354)	Prec@1 55.000 (47.527)	Prec@5 80.000 (78.000)
Epoch: [43][3780/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0348 (2.0353)	Prec@1 47.500 (47.532)	Prec@5 78.000 (78.001)
Epoch: [43][3790/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8991 (2.0354)	Prec@1 51.000 (47.530)	Prec@5 80.500 (77.998)
Epoch: [43][3800/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8822 (2.0355)	Prec@1 52.000 (47.531)	Prec@5 79.500 (77.993)
Epoch: [43][3810/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0214 (2.0356)	Prec@1 46.000 (47.533)	Prec@5 80.500 (77.990)
Epoch: [43][3820/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0693 (2.0357)	Prec@1 49.000 (47.530)	Prec@5 78.500 (77.991)
Epoch: [43][3830/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1249 (2.0359)	Prec@1 49.000 (47.525)	Prec@5 75.500 (77.986)
Epoch: [43][3840/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7174 (2.0356)	Prec@1 55.000 (47.533)	Prec@5 84.000 (77.991)
Epoch: [43][3850/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9075 (2.0356)	Prec@1 52.000 (47.533)	Prec@5 80.500 (77.992)
Epoch: [43][3860/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1464 (2.0356)	Prec@1 46.000 (47.534)	Prec@5 74.000 (77.992)
Epoch: [43][3870/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0521 (2.0357)	Prec@1 50.000 (47.531)	Prec@5 76.000 (77.991)
Epoch: [43][3880/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.9378 (2.0357)	Prec@1 51.500 (47.534)	Prec@5 81.000 (77.991)
Epoch: [43][3890/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9514 (2.0356)	Prec@1 52.000 (47.535)	Prec@5 78.000 (77.992)
Epoch: [43][3900/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0578 (2.0357)	Prec@1 55.000 (47.537)	Prec@5 78.000 (77.991)
Epoch: [43][3910/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0023 (2.0357)	Prec@1 48.000 (47.538)	Prec@5 79.000 (77.991)
Epoch: [43][3920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1878 (2.0358)	Prec@1 47.000 (47.536)	Prec@5 70.000 (77.990)
Epoch: [43][3930/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.1508 (2.0357)	Prec@1 44.000 (47.535)	Prec@5 74.000 (77.992)
Epoch: [43][3940/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0920 (2.0358)	Prec@1 47.500 (47.533)	Prec@5 77.500 (77.992)
Epoch: [43][3950/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0926 (2.0360)	Prec@1 44.000 (47.530)	Prec@5 76.500 (77.988)
Epoch: [43][3960/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1208 (2.0360)	Prec@1 45.500 (47.531)	Prec@5 77.000 (77.988)
Epoch: [43][3970/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1516 (2.0360)	Prec@1 43.000 (47.534)	Prec@5 75.500 (77.985)
Epoch: [43][3980/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.9982 (2.0360)	Prec@1 46.000 (47.534)	Prec@5 80.000 (77.985)
Epoch: [43][3990/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.1938 (2.0360)	Prec@1 46.000 (47.534)	Prec@5 77.500 (77.985)
Epoch: [43][4000/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 1.9864 (2.0362)	Prec@1 48.000 (47.532)	Prec@5 78.000 (77.981)
Epoch: [43][4010/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0811 (2.0361)	Prec@1 47.000 (47.535)	Prec@5 78.500 (77.984)
Epoch: [43][4020/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.7907 (2.0362)	Prec@1 50.500 (47.537)	Prec@5 81.500 (77.981)
Epoch: [43][4030/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9981 (2.0362)	Prec@1 51.500 (47.538)	Prec@5 77.000 (77.984)
Epoch: [43][4040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8388 (2.0362)	Prec@1 50.500 (47.537)	Prec@5 80.000 (77.983)
Epoch: [43][4050/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.0349 (2.0361)	Prec@1 47.500 (47.537)	Prec@5 76.500 (77.987)
Epoch: [43][4060/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1861 (2.0361)	Prec@1 45.500 (47.536)	Prec@5 77.000 (77.987)
Epoch: [43][4070/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2545 (2.0361)	Prec@1 42.000 (47.537)	Prec@5 72.500 (77.985)
Epoch: [43][4080/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.2010 (2.0362)	Prec@1 44.000 (47.535)	Prec@5 75.000 (77.979)
Epoch: [43][4090/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1686 (2.0365)	Prec@1 43.000 (47.531)	Prec@5 76.000 (77.976)
Epoch: [43][4100/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2654 (2.0364)	Prec@1 40.000 (47.534)	Prec@5 75.500 (77.977)
Epoch: [43][4110/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.2013 (2.0362)	Prec@1 43.000 (47.538)	Prec@5 76.000 (77.981)
Epoch: [43][4120/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0663 (2.0362)	Prec@1 48.000 (47.539)	Prec@5 76.000 (77.981)
Epoch: [43][4130/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.8437 (2.0362)	Prec@1 56.000 (47.545)	Prec@5 82.500 (77.981)
Epoch: [43][4140/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9971 (2.0362)	Prec@1 47.500 (47.542)	Prec@5 75.500 (77.979)
Epoch: [43][4150/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0141 (2.0363)	Prec@1 46.500 (47.539)	Prec@5 79.000 (77.977)
Epoch: [43][4160/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.9436 (2.0363)	Prec@1 47.000 (47.537)	Prec@5 78.500 (77.978)
Epoch: [43][4170/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9630 (2.0364)	Prec@1 50.500 (47.537)	Prec@5 82.000 (77.976)
Epoch: [43][4180/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1180 (2.0365)	Prec@1 47.500 (47.534)	Prec@5 77.500 (77.972)
Epoch: [43][4190/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2652 (2.0366)	Prec@1 44.500 (47.529)	Prec@5 75.500 (77.971)
Epoch: [43][4200/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0337 (2.0366)	Prec@1 48.500 (47.532)	Prec@5 78.500 (77.972)
Epoch: [43][4210/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0537 (2.0366)	Prec@1 44.500 (47.534)	Prec@5 77.000 (77.972)
Epoch: [43][4220/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9895 (2.0367)	Prec@1 47.000 (47.531)	Prec@5 81.500 (77.970)
Epoch: [43][4230/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.3060 (2.0366)	Prec@1 43.000 (47.533)	Prec@5 72.500 (77.970)
Epoch: [43][4240/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8837 (2.0366)	Prec@1 51.500 (47.536)	Prec@5 83.000 (77.968)
Epoch: [43][4250/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2213 (2.0367)	Prec@1 42.000 (47.534)	Prec@5 71.500 (77.966)
Epoch: [43][4260/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0336 (2.0366)	Prec@1 49.500 (47.537)	Prec@5 80.000 (77.967)
Epoch: [43][4270/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.2554 (2.0367)	Prec@1 35.500 (47.532)	Prec@5 72.500 (77.967)
Epoch: [43][4280/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.0979 (2.0367)	Prec@1 44.000 (47.531)	Prec@5 79.500 (77.970)
Epoch: [43][4290/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9068 (2.0367)	Prec@1 52.500 (47.532)	Prec@5 84.500 (77.973)
Epoch: [43][4300/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9229 (2.0365)	Prec@1 44.000 (47.533)	Prec@5 79.500 (77.975)
Epoch: [43][4310/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9993 (2.0366)	Prec@1 48.000 (47.534)	Prec@5 77.500 (77.972)
Epoch: [43][4320/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1753 (2.0365)	Prec@1 49.500 (47.534)	Prec@5 74.500 (77.970)
Epoch: [43][4330/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 1.9252 (2.0366)	Prec@1 52.000 (47.535)	Prec@5 79.500 (77.968)
Epoch: [43][4340/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0700 (2.0366)	Prec@1 44.000 (47.535)	Prec@5 80.000 (77.970)
Epoch: [43][4350/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1825 (2.0367)	Prec@1 44.000 (47.536)	Prec@5 74.500 (77.967)
Epoch: [43][4360/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1187 (2.0365)	Prec@1 46.000 (47.539)	Prec@5 77.500 (77.970)
Epoch: [43][4370/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0951 (2.0364)	Prec@1 44.500 (47.539)	Prec@5 75.500 (77.973)
Epoch: [43][4380/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 1.9317 (2.0365)	Prec@1 55.500 (47.541)	Prec@5 81.500 (77.972)
Epoch: [43][4390/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.0530 (2.0366)	Prec@1 50.000 (47.538)	Prec@5 79.000 (77.971)
Epoch: [43][4400/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1080 (2.0368)	Prec@1 46.000 (47.535)	Prec@5 78.000 (77.966)
Epoch: [43][4410/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.8739 (2.0367)	Prec@1 51.500 (47.537)	Prec@5 83.500 (77.968)
Epoch: [43][4420/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8132 (2.0365)	Prec@1 50.500 (47.542)	Prec@5 81.000 (77.971)
Epoch: [43][4430/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.1389 (2.0365)	Prec@1 44.500 (47.540)	Prec@5 76.500 (77.972)
Epoch: [43][4440/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9125 (2.0366)	Prec@1 52.000 (47.541)	Prec@5 76.000 (77.971)
Epoch: [43][4450/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2252 (2.0367)	Prec@1 46.500 (47.539)	Prec@5 73.000 (77.966)
Epoch: [43][4460/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9003 (2.0367)	Prec@1 48.500 (47.537)	Prec@5 80.500 (77.968)
Epoch: [43][4470/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0337 (2.0367)	Prec@1 50.500 (47.536)	Prec@5 77.000 (77.968)
Epoch: [43][4480/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.0024 (2.0368)	Prec@1 52.000 (47.535)	Prec@5 75.000 (77.965)
Epoch: [43][4490/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0284 (2.0368)	Prec@1 47.000 (47.537)	Prec@5 75.500 (77.963)
Epoch: [43][4500/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8576 (2.0367)	Prec@1 51.500 (47.539)	Prec@5 81.000 (77.964)
Epoch: [43][4510/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0320 (2.0367)	Prec@1 51.000 (47.544)	Prec@5 79.500 (77.966)
Epoch: [43][4520/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.9623 (2.0368)	Prec@1 50.500 (47.542)	Prec@5 79.000 (77.965)
Epoch: [43][4530/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9364 (2.0366)	Prec@1 49.000 (47.545)	Prec@5 80.500 (77.968)
Epoch: [43][4540/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.3850 (2.0367)	Prec@1 37.000 (47.543)	Prec@5 73.500 (77.964)
Epoch: [43][4550/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2052 (2.0368)	Prec@1 46.500 (47.540)	Prec@5 74.500 (77.962)
Epoch: [43][4560/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.7675 (2.0368)	Prec@1 50.000 (47.541)	Prec@5 82.000 (77.962)
Epoch: [43][4570/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1121 (2.0367)	Prec@1 44.500 (47.543)	Prec@5 76.500 (77.964)
Epoch: [43][4580/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0072 (2.0368)	Prec@1 42.500 (47.537)	Prec@5 79.000 (77.962)
Epoch: [43][4590/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1295 (2.0369)	Prec@1 46.500 (47.538)	Prec@5 75.500 (77.960)
Epoch: [43][4600/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0728 (2.0370)	Prec@1 46.000 (47.533)	Prec@5 81.000 (77.957)
Epoch: [43][4610/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0369 (2.0370)	Prec@1 47.500 (47.532)	Prec@5 78.500 (77.956)
Epoch: [43][4620/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1720 (2.0370)	Prec@1 47.500 (47.532)	Prec@5 75.000 (77.955)
Epoch: [43][4630/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.9683 (2.0369)	Prec@1 50.500 (47.533)	Prec@5 79.500 (77.958)
Epoch: [43][4640/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3283 (2.0370)	Prec@1 46.000 (47.533)	Prec@5 74.000 (77.956)
Epoch: [43][4650/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1939 (2.0371)	Prec@1 47.500 (47.530)	Prec@5 73.500 (77.955)
Epoch: [43][4660/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.0196 (2.0372)	Prec@1 49.500 (47.528)	Prec@5 78.000 (77.953)
Epoch: [43][4670/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0999 (2.0370)	Prec@1 44.500 (47.533)	Prec@5 77.000 (77.955)
Epoch: [43][4680/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1441 (2.0369)	Prec@1 49.500 (47.536)	Prec@5 75.500 (77.957)
Epoch: [43][4690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8160 (2.0370)	Prec@1 55.500 (47.530)	Prec@5 82.000 (77.954)
Epoch: [43][4700/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1678 (2.0370)	Prec@1 46.000 (47.532)	Prec@5 77.500 (77.955)
Epoch: [43][4710/9018]	Time 0.747 (0.615)	Data 0.001 (0.001)	Loss 2.1217 (2.0371)	Prec@1 51.000 (47.534)	Prec@5 72.500 (77.950)
Epoch: [43][4720/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.9284 (2.0370)	Prec@1 51.000 (47.532)	Prec@5 80.500 (77.952)
Epoch: [43][4730/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9650 (2.0369)	Prec@1 49.500 (47.533)	Prec@5 79.000 (77.952)
Epoch: [43][4740/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9697 (2.0368)	Prec@1 51.500 (47.535)	Prec@5 82.000 (77.954)
Epoch: [43][4750/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2717 (2.0367)	Prec@1 42.500 (47.534)	Prec@5 76.000 (77.955)
Epoch: [43][4760/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0411 (2.0369)	Prec@1 52.500 (47.534)	Prec@5 78.500 (77.952)
Epoch: [43][4770/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.7321 (2.0367)	Prec@1 57.500 (47.540)	Prec@5 84.500 (77.957)
Epoch: [43][4780/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2108 (2.0368)	Prec@1 44.000 (47.539)	Prec@5 75.500 (77.954)
Epoch: [43][4790/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0062 (2.0368)	Prec@1 49.500 (47.539)	Prec@5 79.500 (77.953)
Epoch: [43][4800/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1816 (2.0370)	Prec@1 45.500 (47.535)	Prec@5 74.500 (77.953)
Epoch: [43][4810/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9684 (2.0369)	Prec@1 49.500 (47.535)	Prec@5 81.000 (77.957)
Epoch: [43][4820/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.0229 (2.0370)	Prec@1 46.000 (47.533)	Prec@5 77.500 (77.953)
Epoch: [43][4830/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2249 (2.0370)	Prec@1 42.000 (47.531)	Prec@5 76.000 (77.953)
Epoch: [43][4840/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9646 (2.0371)	Prec@1 48.500 (47.531)	Prec@5 79.500 (77.953)
Epoch: [43][4850/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0700 (2.0372)	Prec@1 49.000 (47.532)	Prec@5 76.500 (77.952)
Epoch: [43][4860/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2016 (2.0372)	Prec@1 45.000 (47.533)	Prec@5 79.000 (77.953)
Epoch: [43][4870/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.9143 (2.0371)	Prec@1 48.500 (47.534)	Prec@5 80.500 (77.956)
Epoch: [43][4880/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8459 (2.0371)	Prec@1 51.000 (47.539)	Prec@5 82.000 (77.954)
Epoch: [43][4890/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0628 (2.0372)	Prec@1 47.500 (47.538)	Prec@5 78.000 (77.951)
Epoch: [43][4900/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0270 (2.0372)	Prec@1 44.500 (47.537)	Prec@5 80.500 (77.950)
Epoch: [43][4910/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9281 (2.0372)	Prec@1 46.500 (47.536)	Prec@5 82.000 (77.949)
Epoch: [43][4920/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1311 (2.0371)	Prec@1 42.500 (47.536)	Prec@5 76.000 (77.950)
Epoch: [43][4930/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2928 (2.0373)	Prec@1 44.500 (47.534)	Prec@5 73.000 (77.948)
Epoch: [43][4940/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9454 (2.0374)	Prec@1 48.500 (47.531)	Prec@5 78.500 (77.946)
Epoch: [43][4950/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9467 (2.0373)	Prec@1 52.000 (47.535)	Prec@5 82.000 (77.950)
Epoch: [43][4960/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2152 (2.0374)	Prec@1 45.000 (47.533)	Prec@5 75.000 (77.949)
Epoch: [43][4970/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9751 (2.0374)	Prec@1 51.500 (47.533)	Prec@5 79.000 (77.950)
Epoch: [43][4980/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.5032 (2.0375)	Prec@1 43.000 (47.533)	Prec@5 67.000 (77.946)
Epoch: [43][4990/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 2.2758 (2.0375)	Prec@1 38.000 (47.531)	Prec@5 74.500 (77.947)
Epoch: [43][5000/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.9753 (2.0376)	Prec@1 51.000 (47.532)	Prec@5 78.000 (77.946)
Epoch: [43][5010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9757 (2.0374)	Prec@1 52.000 (47.534)	Prec@5 79.500 (77.948)
Epoch: [43][5020/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.2620 (2.0376)	Prec@1 41.000 (47.530)	Prec@5 75.000 (77.943)
Epoch: [43][5030/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9622 (2.0376)	Prec@1 45.000 (47.532)	Prec@5 80.500 (77.944)
Epoch: [43][5040/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 1.9602 (2.0377)	Prec@1 49.500 (47.531)	Prec@5 78.500 (77.944)
Epoch: [43][5050/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9339 (2.0376)	Prec@1 49.500 (47.533)	Prec@5 78.500 (77.945)
Epoch: [43][5060/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9194 (2.0375)	Prec@1 53.500 (47.535)	Prec@5 81.500 (77.948)
Epoch: [43][5070/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0942 (2.0375)	Prec@1 47.000 (47.534)	Prec@5 76.000 (77.948)
Epoch: [43][5080/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9703 (2.0376)	Prec@1 52.500 (47.534)	Prec@5 78.500 (77.948)
Epoch: [43][5090/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9996 (2.0376)	Prec@1 48.000 (47.535)	Prec@5 76.500 (77.948)
Epoch: [43][5100/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.9279 (2.0376)	Prec@1 50.500 (47.534)	Prec@5 82.000 (77.945)
Epoch: [43][5110/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1414 (2.0376)	Prec@1 43.500 (47.536)	Prec@5 77.000 (77.946)
Epoch: [43][5120/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0890 (2.0376)	Prec@1 46.000 (47.536)	Prec@5 74.500 (77.947)
Epoch: [43][5130/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8078 (2.0376)	Prec@1 56.500 (47.538)	Prec@5 80.500 (77.946)
Epoch: [43][5140/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0338 (2.0376)	Prec@1 45.000 (47.539)	Prec@5 80.500 (77.948)
Epoch: [43][5150/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9143 (2.0376)	Prec@1 52.000 (47.540)	Prec@5 80.000 (77.948)
Epoch: [43][5160/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1599 (2.0377)	Prec@1 44.000 (47.540)	Prec@5 76.500 (77.946)
Epoch: [43][5170/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.1291 (2.0377)	Prec@1 46.500 (47.540)	Prec@5 76.500 (77.946)
Epoch: [43][5180/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1416 (2.0378)	Prec@1 44.500 (47.538)	Prec@5 76.000 (77.945)
Epoch: [43][5190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1242 (2.0379)	Prec@1 48.500 (47.536)	Prec@5 78.000 (77.942)
Epoch: [43][5200/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0648 (2.0377)	Prec@1 43.500 (47.537)	Prec@5 76.500 (77.943)
Epoch: [43][5210/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0186 (2.0378)	Prec@1 51.000 (47.535)	Prec@5 78.500 (77.942)
Epoch: [43][5220/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8118 (2.0378)	Prec@1 52.000 (47.536)	Prec@5 86.000 (77.944)
Epoch: [43][5230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1200 (2.0379)	Prec@1 44.000 (47.533)	Prec@5 80.000 (77.943)
Epoch: [43][5240/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1763 (2.0380)	Prec@1 43.500 (47.532)	Prec@5 74.000 (77.941)
Epoch: [43][5250/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7481 (2.0379)	Prec@1 57.000 (47.533)	Prec@5 81.500 (77.941)
Epoch: [43][5260/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2341 (2.0380)	Prec@1 40.500 (47.533)	Prec@5 77.000 (77.941)
Epoch: [43][5270/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.8747 (2.0380)	Prec@1 50.000 (47.531)	Prec@5 79.000 (77.941)
Epoch: [43][5280/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.8972 (2.0378)	Prec@1 46.000 (47.533)	Prec@5 80.500 (77.945)
Epoch: [43][5290/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1652 (2.0378)	Prec@1 44.500 (47.533)	Prec@5 73.000 (77.946)
Epoch: [43][5300/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.8638 (2.0379)	Prec@1 54.000 (47.533)	Prec@5 82.000 (77.945)
Epoch: [43][5310/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1669 (2.0380)	Prec@1 46.000 (47.532)	Prec@5 78.500 (77.945)
Epoch: [43][5320/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 2.1023 (2.0381)	Prec@1 46.000 (47.530)	Prec@5 74.000 (77.943)
Epoch: [43][5330/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.8764 (2.0380)	Prec@1 53.000 (47.532)	Prec@5 78.000 (77.942)
Epoch: [43][5340/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0939 (2.0381)	Prec@1 48.000 (47.530)	Prec@5 76.500 (77.939)
Epoch: [43][5350/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1346 (2.0383)	Prec@1 43.000 (47.527)	Prec@5 80.000 (77.937)
Epoch: [43][5360/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1038 (2.0384)	Prec@1 46.500 (47.526)	Prec@5 76.500 (77.937)
Epoch: [43][5370/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.3249 (2.0384)	Prec@1 41.500 (47.526)	Prec@5 71.500 (77.938)
Epoch: [43][5380/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0189 (2.0382)	Prec@1 48.000 (47.527)	Prec@5 79.000 (77.940)
Epoch: [43][5390/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1073 (2.0383)	Prec@1 45.000 (47.524)	Prec@5 81.000 (77.941)
Epoch: [43][5400/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0622 (2.0384)	Prec@1 45.500 (47.521)	Prec@5 77.000 (77.941)
Epoch: [43][5410/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0599 (2.0384)	Prec@1 48.500 (47.520)	Prec@5 74.500 (77.943)
Epoch: [43][5420/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9614 (2.0384)	Prec@1 52.500 (47.519)	Prec@5 79.000 (77.942)
Epoch: [43][5430/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.9149 (2.0384)	Prec@1 49.500 (47.522)	Prec@5 79.500 (77.942)
Epoch: [43][5440/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0907 (2.0385)	Prec@1 49.000 (47.518)	Prec@5 78.500 (77.939)
Epoch: [43][5450/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2198 (2.0386)	Prec@1 43.500 (47.518)	Prec@5 74.500 (77.937)
Epoch: [43][5460/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9157 (2.0386)	Prec@1 50.500 (47.519)	Prec@5 78.500 (77.936)
Epoch: [43][5470/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9875 (2.0386)	Prec@1 49.500 (47.518)	Prec@5 80.500 (77.937)
Epoch: [43][5480/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.0195 (2.0386)	Prec@1 46.000 (47.515)	Prec@5 78.500 (77.938)
Epoch: [43][5490/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2688 (2.0387)	Prec@1 40.500 (47.514)	Prec@5 76.500 (77.935)
Epoch: [43][5500/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0156 (2.0387)	Prec@1 46.500 (47.513)	Prec@5 78.500 (77.935)
Epoch: [43][5510/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.7769 (2.0388)	Prec@1 50.500 (47.511)	Prec@5 84.000 (77.933)
Epoch: [43][5520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2538 (2.0389)	Prec@1 44.000 (47.511)	Prec@5 74.000 (77.931)
Epoch: [43][5530/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.2647 (2.0389)	Prec@1 44.000 (47.511)	Prec@5 76.000 (77.932)
Epoch: [43][5540/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1223 (2.0390)	Prec@1 46.000 (47.509)	Prec@5 75.500 (77.928)
Epoch: [43][5550/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9658 (2.0391)	Prec@1 48.500 (47.507)	Prec@5 79.000 (77.928)
Epoch: [43][5560/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9246 (2.0390)	Prec@1 50.000 (47.508)	Prec@5 82.000 (77.929)
Epoch: [43][5570/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0779 (2.0391)	Prec@1 47.000 (47.509)	Prec@5 78.000 (77.927)
Epoch: [43][5580/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1551 (2.0391)	Prec@1 45.500 (47.509)	Prec@5 76.500 (77.927)
Epoch: [43][5590/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1295 (2.0391)	Prec@1 49.000 (47.510)	Prec@5 75.000 (77.927)
Epoch: [43][5600/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.1946 (2.0393)	Prec@1 46.500 (47.503)	Prec@5 74.500 (77.927)
Epoch: [43][5610/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1335 (2.0394)	Prec@1 42.500 (47.500)	Prec@5 72.000 (77.924)
Epoch: [43][5620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1535 (2.0394)	Prec@1 48.500 (47.503)	Prec@5 74.000 (77.924)
Epoch: [43][5630/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9945 (2.0395)	Prec@1 51.000 (47.500)	Prec@5 81.000 (77.923)
Epoch: [43][5640/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1554 (2.0395)	Prec@1 45.500 (47.500)	Prec@5 76.500 (77.921)
Epoch: [43][5650/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 1.9432 (2.0395)	Prec@1 48.500 (47.500)	Prec@5 77.000 (77.921)
Epoch: [43][5660/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9673 (2.0394)	Prec@1 49.500 (47.504)	Prec@5 77.500 (77.924)
Epoch: [43][5670/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.2729 (2.0395)	Prec@1 44.500 (47.502)	Prec@5 74.500 (77.921)
Epoch: [43][5680/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0634 (2.0396)	Prec@1 47.000 (47.502)	Prec@5 77.500 (77.920)
Epoch: [43][5690/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.1583 (2.0396)	Prec@1 48.000 (47.501)	Prec@5 75.000 (77.919)
Epoch: [43][5700/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 2.0193 (2.0396)	Prec@1 50.000 (47.504)	Prec@5 79.500 (77.920)
Epoch: [43][5710/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.0710 (2.0397)	Prec@1 47.000 (47.502)	Prec@5 75.000 (77.919)
Epoch: [43][5720/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3316 (2.0398)	Prec@1 38.000 (47.498)	Prec@5 78.000 (77.918)
Epoch: [43][5730/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 1.8415 (2.0397)	Prec@1 51.500 (47.498)	Prec@5 83.000 (77.920)
Epoch: [43][5740/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1508 (2.0399)	Prec@1 43.500 (47.496)	Prec@5 75.500 (77.918)
Epoch: [43][5750/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.9309 (2.0399)	Prec@1 48.500 (47.495)	Prec@5 83.000 (77.917)
Epoch: [43][5760/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.0656 (2.0399)	Prec@1 45.500 (47.495)	Prec@5 80.500 (77.920)
Epoch: [43][5770/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9027 (2.0399)	Prec@1 50.500 (47.494)	Prec@5 82.000 (77.918)
Epoch: [43][5780/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 2.0183 (2.0398)	Prec@1 50.500 (47.495)	Prec@5 78.000 (77.921)
Epoch: [43][5790/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9904 (2.0396)	Prec@1 51.500 (47.497)	Prec@5 80.500 (77.923)
Epoch: [43][5800/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0844 (2.0398)	Prec@1 45.000 (47.494)	Prec@5 73.500 (77.921)
Epoch: [43][5810/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3115 (2.0399)	Prec@1 46.000 (47.492)	Prec@5 73.000 (77.918)
Epoch: [43][5820/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0368 (2.0398)	Prec@1 45.000 (47.493)	Prec@5 77.000 (77.918)
Epoch: [43][5830/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.8975 (2.0398)	Prec@1 52.500 (47.492)	Prec@5 80.500 (77.919)
Epoch: [43][5840/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8828 (2.0399)	Prec@1 50.000 (47.492)	Prec@5 79.000 (77.918)
Epoch: [43][5850/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0045 (2.0398)	Prec@1 49.500 (47.491)	Prec@5 77.500 (77.920)
Epoch: [43][5860/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 1.7564 (2.0398)	Prec@1 52.000 (47.490)	Prec@5 82.500 (77.918)
Epoch: [43][5870/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1903 (2.0399)	Prec@1 46.000 (47.491)	Prec@5 75.000 (77.916)
Epoch: [43][5880/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 1.6763 (2.0398)	Prec@1 49.000 (47.491)	Prec@5 85.000 (77.918)
Epoch: [43][5890/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.2492 (2.0397)	Prec@1 43.500 (47.494)	Prec@5 73.500 (77.919)
Epoch: [43][5900/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1094 (2.0397)	Prec@1 43.000 (47.495)	Prec@5 80.000 (77.918)
Epoch: [43][5910/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.8954 (2.0397)	Prec@1 49.500 (47.494)	Prec@5 80.000 (77.920)
Epoch: [43][5920/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.1475 (2.0398)	Prec@1 48.000 (47.491)	Prec@5 77.500 (77.917)
Epoch: [43][5930/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.9214 (2.0400)	Prec@1 50.500 (47.486)	Prec@5 81.000 (77.913)
Epoch: [43][5940/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9838 (2.0401)	Prec@1 52.500 (47.481)	Prec@5 75.500 (77.910)
Epoch: [43][5950/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0128 (2.0401)	Prec@1 47.000 (47.483)	Prec@5 78.500 (77.910)
Epoch: [43][5960/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 2.1191 (2.0401)	Prec@1 43.000 (47.481)	Prec@5 75.500 (77.909)
Epoch: [43][5970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9686 (2.0401)	Prec@1 49.500 (47.481)	Prec@5 78.500 (77.912)
Epoch: [43][5980/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.0046 (2.0401)	Prec@1 44.500 (47.481)	Prec@5 77.000 (77.913)
Epoch: [43][5990/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.1194 (2.0401)	Prec@1 42.000 (47.479)	Prec@5 80.000 (77.912)
Epoch: [43][6000/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0436 (2.0402)	Prec@1 42.500 (47.476)	Prec@5 80.500 (77.912)
Epoch: [43][6010/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.9399 (2.0401)	Prec@1 46.000 (47.478)	Prec@5 79.500 (77.912)
Epoch: [43][6020/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.0988 (2.0401)	Prec@1 41.500 (47.479)	Prec@5 76.500 (77.913)
Epoch: [43][6030/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.0933 (2.0400)	Prec@1 43.500 (47.481)	Prec@5 74.500 (77.914)
Epoch: [43][6040/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 1.9870 (2.0400)	Prec@1 48.500 (47.483)	Prec@5 80.000 (77.914)
Epoch: [43][6050/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0314 (2.0400)	Prec@1 42.500 (47.481)	Prec@5 77.500 (77.913)
Epoch: [43][6060/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.8473 (2.0400)	Prec@1 49.000 (47.481)	Prec@5 84.500 (77.915)
Epoch: [43][6070/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1747 (2.0401)	Prec@1 41.500 (47.478)	Prec@5 78.000 (77.915)
Epoch: [43][6080/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.9888 (2.0401)	Prec@1 45.000 (47.477)	Prec@5 77.500 (77.913)
Epoch: [43][6090/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.2126 (2.0401)	Prec@1 47.500 (47.477)	Prec@5 75.000 (77.913)
Epoch: [43][6100/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 2.3325 (2.0402)	Prec@1 38.000 (47.475)	Prec@5 70.500 (77.912)
Epoch: [43][6110/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 1.8435 (2.0402)	Prec@1 54.500 (47.477)	Prec@5 80.000 (77.912)
Epoch: [43][6120/9018]	Time 0.641 (0.614)	Data 0.001 (0.001)	Loss 2.0786 (2.0401)	Prec@1 45.000 (47.477)	Prec@5 76.000 (77.914)
Epoch: [43][6130/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1382 (2.0402)	Prec@1 44.500 (47.474)	Prec@5 76.000 (77.914)
Epoch: [43][6140/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.8792 (2.0401)	Prec@1 50.500 (47.476)	Prec@5 81.500 (77.916)
Epoch: [43][6150/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.2597 (2.0402)	Prec@1 42.500 (47.474)	Prec@5 74.500 (77.916)
Epoch: [43][6160/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 1.8937 (2.0402)	Prec@1 52.500 (47.474)	Prec@5 79.500 (77.916)
Epoch: [43][6170/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.0560 (2.0401)	Prec@1 49.500 (47.474)	Prec@5 76.000 (77.918)
Epoch: [43][6180/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9781 (2.0401)	Prec@1 48.500 (47.474)	Prec@5 79.000 (77.918)
Epoch: [43][6190/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 2.1290 (2.0401)	Prec@1 47.000 (47.473)	Prec@5 76.500 (77.919)
Epoch: [43][6200/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1432 (2.0402)	Prec@1 45.000 (47.470)	Prec@5 75.500 (77.919)
Epoch: [43][6210/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.8472 (2.0402)	Prec@1 51.500 (47.471)	Prec@5 83.500 (77.921)
Epoch: [43][6220/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.1823 (2.0403)	Prec@1 42.000 (47.471)	Prec@5 76.000 (77.920)
Epoch: [43][6230/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0983 (2.0403)	Prec@1 50.000 (47.470)	Prec@5 76.500 (77.920)
Epoch: [43][6240/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 1.9099 (2.0403)	Prec@1 50.000 (47.471)	Prec@5 80.000 (77.920)
Epoch: [43][6250/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.9017 (2.0404)	Prec@1 46.500 (47.470)	Prec@5 80.000 (77.918)
Epoch: [43][6260/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.8202 (2.0404)	Prec@1 54.000 (47.470)	Prec@5 83.000 (77.919)
Epoch: [43][6270/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.0916 (2.0404)	Prec@1 47.500 (47.467)	Prec@5 80.500 (77.919)
Epoch: [43][6280/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9113 (2.0403)	Prec@1 47.500 (47.469)	Prec@5 79.000 (77.920)
Epoch: [43][6290/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.1031 (2.0403)	Prec@1 50.500 (47.468)	Prec@5 77.000 (77.920)
Epoch: [43][6300/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1216 (2.0404)	Prec@1 47.500 (47.465)	Prec@5 78.000 (77.918)
Epoch: [43][6310/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.2965 (2.0405)	Prec@1 41.000 (47.463)	Prec@5 72.500 (77.915)
Epoch: [43][6320/9018]	Time 0.635 (0.614)	Data 0.001 (0.001)	Loss 2.0271 (2.0405)	Prec@1 46.000 (47.465)	Prec@5 79.000 (77.915)
Epoch: [43][6330/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0055 (2.0404)	Prec@1 49.500 (47.468)	Prec@5 78.000 (77.916)
Epoch: [43][6340/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 2.0908 (2.0405)	Prec@1 45.500 (47.469)	Prec@5 79.000 (77.917)
Epoch: [43][6350/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0651 (2.0404)	Prec@1 49.000 (47.471)	Prec@5 76.000 (77.918)
Epoch: [43][6360/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 1.9285 (2.0403)	Prec@1 44.000 (47.471)	Prec@5 82.000 (77.920)
Epoch: [43][6370/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.2063 (2.0402)	Prec@1 44.000 (47.471)	Prec@5 77.500 (77.921)
Epoch: [43][6380/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.8455 (2.0402)	Prec@1 49.500 (47.467)	Prec@5 79.500 (77.921)
Epoch: [43][6390/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.2889 (2.0404)	Prec@1 40.000 (47.465)	Prec@5 76.000 (77.919)
Epoch: [43][6400/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.8251 (2.0403)	Prec@1 49.000 (47.465)	Prec@5 80.000 (77.921)
Epoch: [43][6410/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.3315 (2.0404)	Prec@1 41.000 (47.463)	Prec@5 74.000 (77.920)
Epoch: [43][6420/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 2.0958 (2.0403)	Prec@1 44.500 (47.464)	Prec@5 79.000 (77.920)
Epoch: [43][6430/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.0821 (2.0402)	Prec@1 47.000 (47.465)	Prec@5 80.500 (77.923)
Epoch: [43][6440/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 1.9250 (2.0402)	Prec@1 51.000 (47.466)	Prec@5 79.500 (77.926)
Epoch: [43][6450/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1501 (2.0401)	Prec@1 45.000 (47.469)	Prec@5 78.500 (77.928)
Epoch: [43][6460/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0879 (2.0401)	Prec@1 49.500 (47.468)	Prec@5 76.000 (77.928)
Epoch: [43][6470/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9231 (2.0402)	Prec@1 53.000 (47.467)	Prec@5 79.000 (77.928)
Epoch: [43][6480/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.3527 (2.0402)	Prec@1 43.000 (47.466)	Prec@5 73.000 (77.928)
Epoch: [43][6490/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0640 (2.0403)	Prec@1 48.500 (47.466)	Prec@5 78.500 (77.927)
Epoch: [43][6500/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 2.1192 (2.0403)	Prec@1 43.000 (47.465)	Prec@5 76.000 (77.926)
Epoch: [43][6510/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9853 (2.0403)	Prec@1 48.500 (47.465)	Prec@5 79.000 (77.927)
Epoch: [43][6520/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.0424 (2.0402)	Prec@1 46.500 (47.465)	Prec@5 80.000 (77.928)
Epoch: [43][6530/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.9891 (2.0402)	Prec@1 49.000 (47.464)	Prec@5 77.500 (77.927)
Epoch: [43][6540/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1741 (2.0403)	Prec@1 45.500 (47.462)	Prec@5 77.500 (77.927)
Epoch: [43][6550/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.0626 (2.0402)	Prec@1 46.500 (47.464)	Prec@5 77.000 (77.928)
Epoch: [43][6560/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.9314 (2.0403)	Prec@1 49.500 (47.462)	Prec@5 75.000 (77.926)
Epoch: [43][6570/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.2303 (2.0403)	Prec@1 43.000 (47.462)	Prec@5 76.000 (77.926)
Epoch: [43][6580/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.1478 (2.0403)	Prec@1 46.500 (47.462)	Prec@5 75.500 (77.925)
Epoch: [43][6590/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.1373 (2.0404)	Prec@1 49.000 (47.461)	Prec@5 76.500 (77.925)
Epoch: [43][6600/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.1009 (2.0403)	Prec@1 46.500 (47.461)	Prec@5 76.000 (77.927)
Epoch: [43][6610/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1476 (2.0404)	Prec@1 39.500 (47.459)	Prec@5 77.000 (77.924)
Epoch: [43][6620/9018]	Time 0.589 (0.614)	Data 0.001 (0.001)	Loss 1.9119 (2.0404)	Prec@1 54.000 (47.460)	Prec@5 80.000 (77.926)
Epoch: [43][6630/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.2849 (2.0404)	Prec@1 43.000 (47.458)	Prec@5 74.000 (77.926)
Epoch: [43][6640/9018]	Time 0.750 (0.614)	Data 0.001 (0.001)	Loss 1.9174 (2.0404)	Prec@1 48.500 (47.457)	Prec@5 82.000 (77.925)
Epoch: [43][6650/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0229 (2.0405)	Prec@1 52.000 (47.456)	Prec@5 81.000 (77.925)
Epoch: [43][6660/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0738 (2.0405)	Prec@1 43.000 (47.456)	Prec@5 77.000 (77.927)
Epoch: [43][6670/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 1.9513 (2.0405)	Prec@1 50.000 (47.455)	Prec@5 80.500 (77.928)
Epoch: [43][6680/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9968 (2.0405)	Prec@1 49.500 (47.455)	Prec@5 77.500 (77.928)
Epoch: [43][6690/9018]	Time 0.749 (0.614)	Data 0.001 (0.001)	Loss 1.9198 (2.0404)	Prec@1 46.000 (47.456)	Prec@5 81.500 (77.929)
Epoch: [43][6700/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.0481 (2.0404)	Prec@1 48.500 (47.456)	Prec@5 79.000 (77.929)
Epoch: [43][6710/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9854 (2.0404)	Prec@1 48.500 (47.454)	Prec@5 79.500 (77.927)
Epoch: [43][6720/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.0583 (2.0405)	Prec@1 49.500 (47.453)	Prec@5 76.500 (77.927)
Epoch: [43][6730/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.1286 (2.0405)	Prec@1 51.000 (47.455)	Prec@5 74.000 (77.926)
Epoch: [43][6740/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.2072 (2.0405)	Prec@1 46.500 (47.455)	Prec@5 76.500 (77.925)
Epoch: [43][6750/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9096 (2.0406)	Prec@1 48.500 (47.454)	Prec@5 80.000 (77.923)
Epoch: [43][6760/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.1767 (2.0407)	Prec@1 42.000 (47.453)	Prec@5 74.000 (77.922)
Epoch: [43][6770/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 2.2166 (2.0407)	Prec@1 45.000 (47.454)	Prec@5 71.500 (77.923)
Epoch: [43][6780/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.1395 (2.0407)	Prec@1 42.000 (47.453)	Prec@5 75.500 (77.922)
Epoch: [43][6790/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 2.2002 (2.0406)	Prec@1 43.500 (47.452)	Prec@5 75.000 (77.923)
Epoch: [43][6800/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.9213 (2.0407)	Prec@1 47.000 (47.451)	Prec@5 80.000 (77.922)
Epoch: [43][6810/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0425 (2.0407)	Prec@1 52.500 (47.452)	Prec@5 76.000 (77.922)
Epoch: [43][6820/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9389 (2.0407)	Prec@1 50.500 (47.452)	Prec@5 82.000 (77.922)
Epoch: [43][6830/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.2016 (2.0408)	Prec@1 43.500 (47.451)	Prec@5 78.000 (77.921)
Epoch: [43][6840/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.2046 (2.0408)	Prec@1 43.000 (47.451)	Prec@5 76.500 (77.921)
Epoch: [43][6850/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.9287 (2.0409)	Prec@1 51.500 (47.450)	Prec@5 83.000 (77.919)
Epoch: [43][6860/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0101 (2.0409)	Prec@1 42.500 (47.448)	Prec@5 79.000 (77.918)
Epoch: [43][6870/9018]	Time 0.635 (0.614)	Data 0.001 (0.001)	Loss 2.1209 (2.0410)	Prec@1 45.000 (47.447)	Prec@5 77.000 (77.917)
Epoch: [43][6880/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.1331 (2.0410)	Prec@1 46.500 (47.447)	Prec@5 76.000 (77.918)
Epoch: [43][6890/9018]	Time 0.638 (0.614)	Data 0.001 (0.001)	Loss 2.1849 (2.0411)	Prec@1 47.000 (47.445)	Prec@5 76.500 (77.916)
Epoch: [43][6900/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1101 (2.0412)	Prec@1 48.000 (47.445)	Prec@5 78.500 (77.914)
Epoch: [43][6910/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1065 (2.0412)	Prec@1 46.000 (47.447)	Prec@5 75.000 (77.914)
Epoch: [43][6920/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.2095 (2.0412)	Prec@1 45.500 (47.447)	Prec@5 73.000 (77.914)
Epoch: [43][6930/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9425 (2.0411)	Prec@1 47.000 (47.448)	Prec@5 78.500 (77.916)
Epoch: [43][6940/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.0623 (2.0411)	Prec@1 44.000 (47.449)	Prec@5 77.000 (77.915)
Epoch: [43][6950/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 1.9609 (2.0411)	Prec@1 50.000 (47.449)	Prec@5 78.500 (77.916)
Epoch: [43][6960/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.8910 (2.0411)	Prec@1 53.500 (47.451)	Prec@5 80.000 (77.915)
Epoch: [43][6970/9018]	Time 0.718 (0.614)	Data 0.001 (0.001)	Loss 2.0877 (2.0412)	Prec@1 44.000 (47.449)	Prec@5 77.000 (77.915)
Epoch: [43][6980/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.2489 (2.0412)	Prec@1 41.500 (47.449)	Prec@5 74.500 (77.915)
Epoch: [43][6990/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.1986 (2.0411)	Prec@1 45.500 (47.451)	Prec@5 73.500 (77.917)
Epoch: [43][7000/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.4659 (2.0412)	Prec@1 42.500 (47.450)	Prec@5 70.000 (77.915)
Epoch: [43][7010/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.9797 (2.0412)	Prec@1 48.500 (47.451)	Prec@5 77.000 (77.916)
Epoch: [43][7020/9018]	Time 0.732 (0.614)	Data 0.001 (0.001)	Loss 2.1285 (2.0412)	Prec@1 47.500 (47.449)	Prec@5 77.500 (77.916)
Epoch: [43][7030/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.2915 (2.0413)	Prec@1 41.500 (47.446)	Prec@5 73.000 (77.915)
Epoch: [43][7040/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1764 (2.0413)	Prec@1 41.000 (47.444)	Prec@5 78.500 (77.915)
Epoch: [43][7050/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 1.9984 (2.0413)	Prec@1 49.500 (47.443)	Prec@5 77.000 (77.914)
Epoch: [43][7060/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9823 (2.0413)	Prec@1 49.000 (47.442)	Prec@5 79.500 (77.915)
Epoch: [43][7070/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9062 (2.0414)	Prec@1 48.000 (47.442)	Prec@5 81.500 (77.914)
Epoch: [43][7080/9018]	Time 0.635 (0.614)	Data 0.001 (0.001)	Loss 2.1354 (2.0414)	Prec@1 47.000 (47.444)	Prec@5 73.000 (77.913)
Epoch: [43][7090/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1380 (2.0414)	Prec@1 42.000 (47.442)	Prec@5 74.500 (77.912)
Epoch: [43][7100/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.2347 (2.0414)	Prec@1 46.000 (47.443)	Prec@5 75.500 (77.913)
Epoch: [43][7110/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 1.9738 (2.0415)	Prec@1 51.000 (47.443)	Prec@5 76.000 (77.911)
Epoch: [43][7120/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 1.9640 (2.0415)	Prec@1 48.000 (47.441)	Prec@5 79.000 (77.911)
Epoch: [43][7130/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1126 (2.0416)	Prec@1 45.500 (47.442)	Prec@5 75.500 (77.912)
Epoch: [43][7140/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.2213 (2.0416)	Prec@1 44.500 (47.442)	Prec@5 73.000 (77.912)
Epoch: [43][7150/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 1.7108 (2.0415)	Prec@1 54.500 (47.445)	Prec@5 84.000 (77.913)
Epoch: [43][7160/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.9523 (2.0414)	Prec@1 54.500 (47.447)	Prec@5 83.000 (77.913)
Epoch: [43][7170/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0432 (2.0414)	Prec@1 45.500 (47.445)	Prec@5 81.500 (77.913)
Epoch: [43][7180/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 1.9719 (2.0414)	Prec@1 50.500 (47.448)	Prec@5 76.000 (77.913)
Epoch: [43][7190/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1910 (2.0415)	Prec@1 42.500 (47.448)	Prec@5 76.500 (77.912)
Epoch: [43][7200/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 1.9787 (2.0414)	Prec@1 52.000 (47.449)	Prec@5 78.000 (77.912)
Epoch: [43][7210/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1164 (2.0414)	Prec@1 43.000 (47.449)	Prec@5 78.000 (77.914)
Epoch: [43][7220/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0683 (2.0414)	Prec@1 44.000 (47.451)	Prec@5 77.000 (77.914)
Epoch: [43][7230/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 1.9612 (2.0414)	Prec@1 49.500 (47.451)	Prec@5 80.000 (77.912)
Epoch: [43][7240/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0866 (2.0415)	Prec@1 48.000 (47.450)	Prec@5 78.500 (77.911)
Epoch: [43][7250/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9136 (2.0415)	Prec@1 51.500 (47.448)	Prec@5 81.500 (77.912)
Epoch: [43][7260/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.2324 (2.0415)	Prec@1 42.000 (47.448)	Prec@5 72.000 (77.911)
Epoch: [43][7270/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.0046 (2.0416)	Prec@1 46.500 (47.447)	Prec@5 79.000 (77.909)
Epoch: [43][7280/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.8841 (2.0417)	Prec@1 54.000 (47.448)	Prec@5 81.500 (77.908)
Epoch: [43][7290/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.2155 (2.0417)	Prec@1 46.000 (47.445)	Prec@5 72.500 (77.905)
Epoch: [43][7300/9018]	Time 0.722 (0.614)	Data 0.001 (0.001)	Loss 1.9015 (2.0418)	Prec@1 50.500 (47.445)	Prec@5 82.500 (77.904)
Epoch: [43][7310/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.0218 (2.0418)	Prec@1 45.500 (47.444)	Prec@5 77.500 (77.904)
Epoch: [43][7320/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9876 (2.0418)	Prec@1 48.500 (47.443)	Prec@5 79.000 (77.905)
Epoch: [43][7330/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 1.8865 (2.0418)	Prec@1 51.500 (47.442)	Prec@5 79.500 (77.905)
Epoch: [43][7340/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9414 (2.0418)	Prec@1 52.000 (47.441)	Prec@5 81.000 (77.903)
Epoch: [43][7350/9018]	Time 0.751 (0.614)	Data 0.001 (0.001)	Loss 2.1313 (2.0418)	Prec@1 44.500 (47.441)	Prec@5 75.500 (77.902)
Epoch: [43][7360/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.0068 (2.0419)	Prec@1 45.000 (47.440)	Prec@5 83.000 (77.901)
Epoch: [43][7370/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1957 (2.0419)	Prec@1 46.000 (47.439)	Prec@5 75.000 (77.900)
Epoch: [43][7380/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0275 (2.0419)	Prec@1 46.500 (47.439)	Prec@5 77.000 (77.901)
Epoch: [43][7390/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.0850 (2.0420)	Prec@1 46.000 (47.438)	Prec@5 78.000 (77.900)
Epoch: [43][7400/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.1165 (2.0419)	Prec@1 44.000 (47.439)	Prec@5 72.000 (77.900)
Epoch: [43][7410/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.9755 (2.0419)	Prec@1 48.500 (47.438)	Prec@5 81.000 (77.899)
Epoch: [43][7420/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.0950 (2.0420)	Prec@1 44.500 (47.437)	Prec@5 77.500 (77.898)
Epoch: [43][7430/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 2.2402 (2.0420)	Prec@1 40.500 (47.436)	Prec@5 73.500 (77.897)
Epoch: [43][7440/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.9114 (2.0421)	Prec@1 53.000 (47.434)	Prec@5 79.000 (77.897)
Epoch: [43][7450/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.0292 (2.0421)	Prec@1 48.000 (47.436)	Prec@5 76.500 (77.897)
Epoch: [43][7460/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 1.7627 (2.0421)	Prec@1 54.500 (47.434)	Prec@5 82.000 (77.897)
Epoch: [43][7470/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9393 (2.0421)	Prec@1 47.500 (47.431)	Prec@5 82.000 (77.896)
Epoch: [43][7480/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.2829 (2.0422)	Prec@1 41.500 (47.431)	Prec@5 71.000 (77.893)
Epoch: [43][7490/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1836 (2.0423)	Prec@1 44.000 (47.430)	Prec@5 75.000 (77.894)
Epoch: [43][7500/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9678 (2.0424)	Prec@1 46.500 (47.427)	Prec@5 81.000 (77.893)
Epoch: [43][7510/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 1.9138 (2.0424)	Prec@1 54.500 (47.427)	Prec@5 79.000 (77.893)
Epoch: [43][7520/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.9996 (2.0424)	Prec@1 49.000 (47.428)	Prec@5 77.500 (77.893)
Epoch: [43][7530/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 1.9335 (2.0423)	Prec@1 47.000 (47.429)	Prec@5 79.000 (77.895)
Epoch: [43][7540/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.8643 (2.0422)	Prec@1 54.500 (47.432)	Prec@5 79.500 (77.895)
Epoch: [43][7550/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.0956 (2.0422)	Prec@1 46.500 (47.432)	Prec@5 78.000 (77.895)
Epoch: [43][7560/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9284 (2.0422)	Prec@1 48.000 (47.433)	Prec@5 83.500 (77.896)
Epoch: [43][7570/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.2310 (2.0422)	Prec@1 44.000 (47.433)	Prec@5 74.500 (77.896)
Epoch: [43][7580/9018]	Time 0.636 (0.614)	Data 0.001 (0.001)	Loss 2.0803 (2.0421)	Prec@1 53.000 (47.436)	Prec@5 77.000 (77.898)
Epoch: [43][7590/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0560 (2.0421)	Prec@1 49.500 (47.436)	Prec@5 78.500 (77.899)
Epoch: [43][7600/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.2511 (2.0421)	Prec@1 46.500 (47.435)	Prec@5 75.500 (77.898)
Epoch: [43][7610/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.0959 (2.0421)	Prec@1 46.000 (47.435)	Prec@5 74.000 (77.898)
Epoch: [43][7620/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0795 (2.0421)	Prec@1 44.500 (47.432)	Prec@5 78.500 (77.899)
Epoch: [43][7630/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 1.9189 (2.0421)	Prec@1 51.500 (47.433)	Prec@5 79.500 (77.900)
Epoch: [43][7640/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0261 (2.0422)	Prec@1 46.000 (47.430)	Prec@5 76.000 (77.899)
Epoch: [43][7650/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1653 (2.0421)	Prec@1 43.000 (47.431)	Prec@5 76.500 (77.900)
Epoch: [43][7660/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1577 (2.0421)	Prec@1 47.000 (47.433)	Prec@5 75.000 (77.901)
Epoch: [43][7670/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1515 (2.0421)	Prec@1 44.500 (47.431)	Prec@5 77.000 (77.901)
Epoch: [43][7680/9018]	Time 0.762 (0.615)	Data 0.001 (0.001)	Loss 2.0674 (2.0420)	Prec@1 50.500 (47.435)	Prec@5 77.000 (77.903)
Epoch: [43][7690/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0426 (2.0420)	Prec@1 41.000 (47.434)	Prec@5 76.500 (77.903)
Epoch: [43][7700/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0005 (2.0420)	Prec@1 45.000 (47.433)	Prec@5 78.000 (77.902)
Epoch: [43][7710/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1743 (2.0421)	Prec@1 44.500 (47.431)	Prec@5 76.000 (77.900)
Epoch: [43][7720/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0324 (2.0420)	Prec@1 50.000 (47.433)	Prec@5 76.000 (77.902)
Epoch: [43][7730/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0010 (2.0421)	Prec@1 51.500 (47.433)	Prec@5 79.000 (77.901)
Epoch: [43][7740/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.7491 (2.0420)	Prec@1 55.000 (47.433)	Prec@5 83.500 (77.901)
Epoch: [43][7750/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9443 (2.0421)	Prec@1 48.500 (47.432)	Prec@5 83.000 (77.901)
Epoch: [43][7760/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.9885 (2.0421)	Prec@1 47.500 (47.431)	Prec@5 77.000 (77.900)
Epoch: [43][7770/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0217 (2.0421)	Prec@1 45.500 (47.431)	Prec@5 77.000 (77.901)
Epoch: [43][7780/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.9788 (2.0422)	Prec@1 52.000 (47.430)	Prec@5 78.000 (77.898)
Epoch: [43][7790/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0811 (2.0422)	Prec@1 50.000 (47.428)	Prec@5 78.500 (77.897)
Epoch: [43][7800/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9539 (2.0422)	Prec@1 48.000 (47.430)	Prec@5 79.500 (77.897)
Epoch: [43][7810/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1915 (2.0423)	Prec@1 41.500 (47.429)	Prec@5 75.500 (77.896)
Epoch: [43][7820/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2524 (2.0423)	Prec@1 39.000 (47.429)	Prec@5 78.000 (77.896)
Epoch: [43][7830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0720 (2.0424)	Prec@1 46.500 (47.430)	Prec@5 80.500 (77.897)
Epoch: [43][7840/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1103 (2.0424)	Prec@1 44.000 (47.431)	Prec@5 79.500 (77.897)
Epoch: [43][7850/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9996 (2.0424)	Prec@1 49.000 (47.430)	Prec@5 75.500 (77.896)
Epoch: [43][7860/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9091 (2.0423)	Prec@1 46.500 (47.431)	Prec@5 80.500 (77.898)
Epoch: [43][7870/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.0135 (2.0423)	Prec@1 49.000 (47.432)	Prec@5 78.500 (77.899)
Epoch: [43][7880/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.1585 (2.0423)	Prec@1 44.000 (47.432)	Prec@5 76.500 (77.898)
Epoch: [43][7890/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0590 (2.0422)	Prec@1 44.500 (47.436)	Prec@5 76.000 (77.900)
Epoch: [43][7900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0180 (2.0423)	Prec@1 49.000 (47.435)	Prec@5 76.000 (77.898)
Epoch: [43][7910/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.2520 (2.0423)	Prec@1 45.000 (47.436)	Prec@5 74.000 (77.897)
Epoch: [43][7920/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3682 (2.0422)	Prec@1 39.500 (47.439)	Prec@5 71.500 (77.897)
Epoch: [43][7930/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0492 (2.0422)	Prec@1 48.000 (47.438)	Prec@5 78.500 (77.896)
Epoch: [43][7940/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.0029 (2.0423)	Prec@1 47.500 (47.439)	Prec@5 81.000 (77.895)
Epoch: [43][7950/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1229 (2.0423)	Prec@1 47.000 (47.439)	Prec@5 76.000 (77.896)
Epoch: [43][7960/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.0472 (2.0422)	Prec@1 49.500 (47.440)	Prec@5 77.000 (77.897)
Epoch: [43][7970/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.1057 (2.0422)	Prec@1 46.500 (47.441)	Prec@5 79.000 (77.898)
Epoch: [43][7980/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8591 (2.0422)	Prec@1 54.000 (47.441)	Prec@5 83.000 (77.899)
Epoch: [43][7990/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0221 (2.0421)	Prec@1 46.000 (47.441)	Prec@5 79.500 (77.900)
Epoch: [43][8000/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1244 (2.0421)	Prec@1 41.000 (47.440)	Prec@5 77.500 (77.900)
Epoch: [43][8010/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 1.7573 (2.0422)	Prec@1 53.000 (47.439)	Prec@5 84.500 (77.899)
Epoch: [43][8020/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9153 (2.0421)	Prec@1 48.000 (47.438)	Prec@5 78.000 (77.900)
Epoch: [43][8030/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.8664 (2.0422)	Prec@1 53.000 (47.436)	Prec@5 80.500 (77.900)
Epoch: [43][8040/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0697 (2.0421)	Prec@1 47.500 (47.436)	Prec@5 76.500 (77.900)
Epoch: [43][8050/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1412 (2.0423)	Prec@1 48.500 (47.436)	Prec@5 74.000 (77.897)
Epoch: [43][8060/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.0580 (2.0424)	Prec@1 49.500 (47.432)	Prec@5 78.500 (77.895)
Epoch: [43][8070/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1375 (2.0424)	Prec@1 42.000 (47.431)	Prec@5 78.000 (77.896)
Epoch: [43][8080/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1609 (2.0424)	Prec@1 46.500 (47.433)	Prec@5 76.500 (77.897)
Epoch: [43][8090/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0706 (2.0423)	Prec@1 46.000 (47.433)	Prec@5 80.000 (77.898)
Epoch: [43][8100/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0212 (2.0423)	Prec@1 50.000 (47.432)	Prec@5 80.500 (77.898)
Epoch: [43][8110/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0812 (2.0424)	Prec@1 48.500 (47.431)	Prec@5 77.500 (77.897)
Epoch: [43][8120/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.2049 (2.0425)	Prec@1 44.000 (47.429)	Prec@5 74.500 (77.896)
Epoch: [43][8130/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2028 (2.0424)	Prec@1 43.500 (47.431)	Prec@5 75.000 (77.899)
Epoch: [43][8140/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.8703 (2.0423)	Prec@1 48.500 (47.433)	Prec@5 82.500 (77.899)
Epoch: [43][8150/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9003 (2.0424)	Prec@1 47.000 (47.432)	Prec@5 81.500 (77.899)
Epoch: [43][8160/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1447 (2.0424)	Prec@1 43.500 (47.430)	Prec@5 77.500 (77.898)
Epoch: [43][8170/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1824 (2.0425)	Prec@1 43.500 (47.428)	Prec@5 74.000 (77.897)
Epoch: [43][8180/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1000 (2.0426)	Prec@1 43.500 (47.425)	Prec@5 76.000 (77.894)
Epoch: [43][8190/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9746 (2.0426)	Prec@1 45.500 (47.425)	Prec@5 81.000 (77.895)
Epoch: [43][8200/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.2546 (2.0427)	Prec@1 45.500 (47.424)	Prec@5 81.000 (77.894)
Epoch: [43][8210/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1879 (2.0427)	Prec@1 43.000 (47.424)	Prec@5 74.500 (77.893)
Epoch: [43][8220/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0198 (2.0427)	Prec@1 46.500 (47.423)	Prec@5 79.000 (77.894)
Epoch: [43][8230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9071 (2.0427)	Prec@1 46.000 (47.422)	Prec@5 82.000 (77.894)
Epoch: [43][8240/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.9747 (2.0427)	Prec@1 47.000 (47.423)	Prec@5 77.500 (77.893)
Epoch: [43][8250/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1884 (2.0427)	Prec@1 44.500 (47.423)	Prec@5 73.500 (77.893)
Epoch: [43][8260/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1653 (2.0428)	Prec@1 45.500 (47.420)	Prec@5 76.000 (77.891)
Epoch: [43][8270/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1250 (2.0427)	Prec@1 47.500 (47.420)	Prec@5 77.000 (77.893)
Epoch: [43][8280/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1106 (2.0428)	Prec@1 47.000 (47.417)	Prec@5 76.000 (77.890)
Epoch: [43][8290/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 2.3455 (2.0429)	Prec@1 38.000 (47.418)	Prec@5 74.500 (77.890)
Epoch: [43][8300/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0728 (2.0428)	Prec@1 43.500 (47.416)	Prec@5 76.500 (77.889)
Epoch: [43][8310/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0325 (2.0429)	Prec@1 48.000 (47.416)	Prec@5 77.500 (77.889)
Epoch: [43][8320/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.9932 (2.0428)	Prec@1 48.500 (47.417)	Prec@5 77.500 (77.889)
Epoch: [43][8330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1204 (2.0428)	Prec@1 45.000 (47.418)	Prec@5 77.500 (77.889)
Epoch: [43][8340/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 1.7961 (2.0428)	Prec@1 51.500 (47.419)	Prec@5 83.500 (77.890)
Epoch: [43][8350/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.1064 (2.0428)	Prec@1 46.000 (47.419)	Prec@5 80.000 (77.890)
Epoch: [43][8360/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9904 (2.0428)	Prec@1 50.000 (47.419)	Prec@5 78.500 (77.891)
Epoch: [43][8370/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0931 (2.0427)	Prec@1 47.500 (47.421)	Prec@5 77.500 (77.892)
Epoch: [43][8380/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8030 (2.0427)	Prec@1 52.500 (47.422)	Prec@5 83.000 (77.893)
Epoch: [43][8390/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0729 (2.0427)	Prec@1 49.000 (47.422)	Prec@5 75.000 (77.893)
Epoch: [43][8400/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7879 (2.0426)	Prec@1 51.500 (47.423)	Prec@5 80.500 (77.893)
Epoch: [43][8410/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0249 (2.0426)	Prec@1 47.500 (47.423)	Prec@5 80.500 (77.893)
Epoch: [43][8420/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0157 (2.0427)	Prec@1 48.500 (47.422)	Prec@5 77.000 (77.892)
Epoch: [43][8430/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0239 (2.0428)	Prec@1 41.500 (47.419)	Prec@5 81.500 (77.890)
Epoch: [43][8440/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1551 (2.0429)	Prec@1 44.000 (47.419)	Prec@5 79.000 (77.890)
Epoch: [43][8450/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0108 (2.0428)	Prec@1 49.500 (47.421)	Prec@5 77.000 (77.890)
Epoch: [43][8460/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0268 (2.0428)	Prec@1 49.000 (47.420)	Prec@5 74.500 (77.889)
Epoch: [43][8470/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9095 (2.0427)	Prec@1 50.000 (47.421)	Prec@5 81.000 (77.891)
Epoch: [43][8480/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0931 (2.0427)	Prec@1 44.500 (47.421)	Prec@5 80.000 (77.892)
Epoch: [43][8490/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0644 (2.0428)	Prec@1 48.000 (47.419)	Prec@5 76.000 (77.890)
Epoch: [43][8500/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0755 (2.0428)	Prec@1 44.500 (47.418)	Prec@5 78.500 (77.892)
Epoch: [43][8510/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.8039 (2.0428)	Prec@1 58.000 (47.418)	Prec@5 84.500 (77.892)
Epoch: [43][8520/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.0376 (2.0429)	Prec@1 48.000 (47.416)	Prec@5 77.000 (77.889)
Epoch: [43][8530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1039 (2.0429)	Prec@1 48.500 (47.416)	Prec@5 75.000 (77.889)
Epoch: [43][8540/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0583 (2.0429)	Prec@1 49.500 (47.416)	Prec@5 79.000 (77.888)
Epoch: [43][8550/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0175 (2.0429)	Prec@1 46.500 (47.415)	Prec@5 79.000 (77.888)
Epoch: [43][8560/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9728 (2.0429)	Prec@1 50.000 (47.415)	Prec@5 76.000 (77.889)
Epoch: [43][8570/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9528 (2.0429)	Prec@1 49.500 (47.415)	Prec@5 75.000 (77.889)
Epoch: [43][8580/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0879 (2.0429)	Prec@1 43.500 (47.414)	Prec@5 79.500 (77.890)
Epoch: [43][8590/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9682 (2.0429)	Prec@1 50.000 (47.414)	Prec@5 77.000 (77.891)
Epoch: [43][8600/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0558 (2.0429)	Prec@1 47.000 (47.413)	Prec@5 79.000 (77.890)
Epoch: [43][8610/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.4143 (2.0429)	Prec@1 41.000 (47.413)	Prec@5 72.000 (77.890)
Epoch: [43][8620/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.1289 (2.0428)	Prec@1 47.000 (47.415)	Prec@5 74.000 (77.890)
Epoch: [43][8630/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1213 (2.0429)	Prec@1 45.500 (47.414)	Prec@5 75.000 (77.888)
Epoch: [43][8640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0188 (2.0429)	Prec@1 47.000 (47.413)	Prec@5 76.000 (77.888)
Epoch: [43][8650/9018]	Time 0.596 (0.615)	Data 0.003 (0.001)	Loss 2.1683 (2.0429)	Prec@1 43.000 (47.412)	Prec@5 73.500 (77.888)
Epoch: [43][8660/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8053 (2.0429)	Prec@1 49.500 (47.412)	Prec@5 82.500 (77.887)
Epoch: [43][8670/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.0435 (2.0429)	Prec@1 43.500 (47.410)	Prec@5 76.000 (77.888)
Epoch: [43][8680/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.2312 (2.0430)	Prec@1 47.000 (47.407)	Prec@5 71.500 (77.886)
Epoch: [43][8690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0125 (2.0430)	Prec@1 45.500 (47.407)	Prec@5 78.500 (77.886)
Epoch: [43][8700/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.9647 (2.0430)	Prec@1 48.000 (47.407)	Prec@5 81.500 (77.885)
Epoch: [43][8710/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9308 (2.0430)	Prec@1 48.500 (47.407)	Prec@5 76.500 (77.885)
Epoch: [43][8720/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9979 (2.0430)	Prec@1 51.000 (47.407)	Prec@5 78.500 (77.884)
Epoch: [43][8730/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0070 (2.0431)	Prec@1 45.000 (47.404)	Prec@5 83.500 (77.883)
Epoch: [43][8740/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2171 (2.0432)	Prec@1 43.500 (47.405)	Prec@5 72.000 (77.882)
Epoch: [43][8750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7253 (2.0431)	Prec@1 56.500 (47.405)	Prec@5 82.000 (77.882)
Epoch: [43][8760/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0476 (2.0431)	Prec@1 47.500 (47.404)	Prec@5 77.500 (77.883)
Epoch: [43][8770/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.4025 (2.0431)	Prec@1 40.500 (47.402)	Prec@5 72.500 (77.883)
Epoch: [43][8780/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1154 (2.0431)	Prec@1 43.000 (47.402)	Prec@5 75.500 (77.882)
Epoch: [43][8790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0354 (2.0432)	Prec@1 44.000 (47.401)	Prec@5 80.000 (77.883)
Epoch: [43][8800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0646 (2.0432)	Prec@1 43.000 (47.401)	Prec@5 80.000 (77.882)
Epoch: [43][8810/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1165 (2.0433)	Prec@1 44.500 (47.397)	Prec@5 72.500 (77.881)
Epoch: [43][8820/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2296 (2.0434)	Prec@1 47.500 (47.396)	Prec@5 74.500 (77.880)
Epoch: [43][8830/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.0351 (2.0433)	Prec@1 46.500 (47.398)	Prec@5 75.500 (77.881)
Epoch: [43][8840/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0018 (2.0433)	Prec@1 48.000 (47.397)	Prec@5 80.000 (77.881)
Epoch: [43][8850/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1272 (2.0433)	Prec@1 45.000 (47.397)	Prec@5 74.500 (77.881)
Epoch: [43][8860/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.1217 (2.0433)	Prec@1 44.000 (47.397)	Prec@5 74.500 (77.880)
Epoch: [43][8870/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3548 (2.0433)	Prec@1 43.000 (47.397)	Prec@5 71.500 (77.879)
Epoch: [43][8880/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0255 (2.0434)	Prec@1 46.000 (47.394)	Prec@5 81.000 (77.877)
Epoch: [43][8890/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7677 (2.0434)	Prec@1 53.000 (47.395)	Prec@5 79.000 (77.878)
Epoch: [43][8900/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8555 (2.0434)	Prec@1 51.000 (47.393)	Prec@5 82.000 (77.879)
Epoch: [43][8910/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.0697 (2.0434)	Prec@1 47.500 (47.393)	Prec@5 79.500 (77.880)
Epoch: [43][8920/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0657 (2.0434)	Prec@1 48.500 (47.393)	Prec@5 77.000 (77.879)
Epoch: [43][8930/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2346 (2.0435)	Prec@1 44.500 (47.391)	Prec@5 73.500 (77.878)
Epoch: [43][8940/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2193 (2.0435)	Prec@1 42.500 (47.391)	Prec@5 76.000 (77.878)
Epoch: [43][8950/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.0883 (2.0435)	Prec@1 49.000 (47.390)	Prec@5 81.500 (77.878)
Epoch: [43][8960/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0456 (2.0436)	Prec@1 53.500 (47.387)	Prec@5 75.500 (77.876)
Epoch: [43][8970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0223 (2.0437)	Prec@1 48.000 (47.386)	Prec@5 76.500 (77.876)
Epoch: [43][8980/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.8370 (2.0436)	Prec@1 52.000 (47.387)	Prec@5 81.500 (77.877)
Epoch: [43][8990/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0115 (2.0436)	Prec@1 50.500 (47.388)	Prec@5 80.000 (77.877)
Epoch: [43][9000/9018]	Time 0.757 (0.615)	Data 0.001 (0.001)	Loss 2.0560 (2.0436)	Prec@1 46.500 (47.388)	Prec@5 78.500 (77.877)
Epoch: [43][9010/9018]	Time 0.591 (0.615)	Data 0.000 (0.001)	Loss 2.0227 (2.0436)	Prec@1 52.500 (47.388)	Prec@5 78.500 (77.878)
Test: [0/183]	Time 1.259 (1.259)	Loss 2.5514 (2.5514)	Prec@1 35.000 (35.000)	Prec@5 70.500 (70.500)
Test: [10/183]	Time 0.187 (0.292)	Loss 1.7371 (1.8007)	Prec@1 58.000 (52.227)	Prec@5 81.500 (82.864)
Test: [20/183]	Time 0.188 (0.247)	Loss 2.2992 (1.7552)	Prec@1 42.000 (53.381)	Prec@5 77.000 (83.143)
Test: [30/183]	Time 0.201 (0.232)	Loss 1.9726 (1.7406)	Prec@1 46.500 (53.258)	Prec@5 78.500 (83.532)
Test: [40/183]	Time 0.181 (0.225)	Loss 2.2916 (1.7315)	Prec@1 34.500 (53.780)	Prec@5 81.000 (83.256)
Test: [50/183]	Time 0.192 (0.219)	Loss 1.6924 (1.7233)	Prec@1 51.000 (54.363)	Prec@5 85.500 (83.284)
Test: [60/183]	Time 0.183 (0.214)	Loss 2.3186 (1.7904)	Prec@1 44.500 (52.451)	Prec@5 74.500 (82.475)
Test: [70/183]	Time 0.198 (0.211)	Loss 1.6659 (1.7775)	Prec@1 53.000 (52.500)	Prec@5 87.000 (83.021)
Test: [80/183]	Time 0.185 (0.209)	Loss 1.4065 (1.7578)	Prec@1 61.000 (52.944)	Prec@5 91.500 (83.216)
Test: [90/183]	Time 0.188 (0.208)	Loss 2.4015 (1.7621)	Prec@1 40.500 (52.791)	Prec@5 71.500 (83.115)
Test: [100/183]	Time 0.201 (0.207)	Loss 0.7008 (1.7579)	Prec@1 77.500 (52.891)	Prec@5 95.500 (83.228)
Test: [110/183]	Time 0.192 (0.206)	Loss 0.8732 (1.7676)	Prec@1 77.500 (52.662)	Prec@5 96.500 (83.036)
Test: [120/183]	Time 0.189 (0.205)	Loss 2.4851 (1.7731)	Prec@1 37.500 (52.417)	Prec@5 64.500 (82.963)
Test: [130/183]	Time 0.186 (0.204)	Loss 3.4858 (1.7847)	Prec@1 11.500 (51.969)	Prec@5 57.500 (82.924)
Test: [140/183]	Time 0.197 (0.203)	Loss 1.8013 (1.7709)	Prec@1 55.500 (52.372)	Prec@5 81.000 (83.184)
Test: [150/183]	Time 0.188 (0.203)	Loss 0.7839 (1.7678)	Prec@1 79.500 (52.434)	Prec@5 96.500 (83.195)
Test: [160/183]	Time 0.196 (0.202)	Loss 1.4882 (1.7662)	Prec@1 56.000 (52.531)	Prec@5 87.000 (83.217)
Test: [170/183]	Time 0.194 (0.203)	Loss 2.0934 (1.7786)	Prec@1 37.500 (52.213)	Prec@5 85.000 (83.096)
Test: [180/183]	Time 0.177 (0.202)	Loss 2.1836 (1.7856)	Prec@1 45.500 (52.182)	Prec@5 79.000 (82.950)
 * Prec@1 52.151 Prec@5 82.932
Epoch: [44][0/9018]	Time 2.957 (2.957)	Data 2.325 (2.325)	Loss 2.0265 (2.0265)	Prec@1 43.500 (43.500)	Prec@5 77.000 (77.000)
Epoch: [44][10/9018]	Time 0.593 (0.812)	Data 0.001 (0.212)	Loss 2.0529 (1.9771)	Prec@1 50.000 (49.955)	Prec@5 75.000 (78.318)
Epoch: [44][20/9018]	Time 0.600 (0.717)	Data 0.001 (0.111)	Loss 2.1032 (1.9956)	Prec@1 46.500 (49.905)	Prec@5 76.500 (78.405)
Epoch: [44][30/9018]	Time 0.746 (0.687)	Data 0.001 (0.076)	Loss 1.9314 (2.0177)	Prec@1 47.500 (48.597)	Prec@5 79.500 (78.484)
Epoch: [44][40/9018]	Time 0.594 (0.666)	Data 0.001 (0.057)	Loss 1.9933 (1.9966)	Prec@1 48.500 (48.829)	Prec@5 79.000 (78.780)
Epoch: [44][50/9018]	Time 0.598 (0.657)	Data 0.001 (0.046)	Loss 2.3108 (1.9869)	Prec@1 40.500 (48.843)	Prec@5 74.000 (78.882)
Epoch: [44][60/9018]	Time 0.609 (0.649)	Data 0.001 (0.039)	Loss 1.9882 (1.9901)	Prec@1 56.000 (48.754)	Prec@5 80.000 (78.926)
Epoch: [44][70/9018]	Time 0.607 (0.644)	Data 0.001 (0.034)	Loss 1.9015 (2.0044)	Prec@1 46.500 (48.437)	Prec@5 78.000 (78.669)
Epoch: [44][80/9018]	Time 0.731 (0.640)	Data 0.001 (0.029)	Loss 1.9546 (1.9976)	Prec@1 45.000 (48.525)	Prec@5 81.000 (78.772)
Epoch: [44][90/9018]	Time 0.597 (0.636)	Data 0.001 (0.026)	Loss 2.2944 (1.9994)	Prec@1 45.000 (48.511)	Prec@5 72.500 (78.676)
Epoch: [44][100/9018]	Time 0.600 (0.634)	Data 0.001 (0.024)	Loss 1.9668 (2.0047)	Prec@1 50.000 (48.515)	Prec@5 79.000 (78.609)
Epoch: [44][110/9018]	Time 0.605 (0.631)	Data 0.001 (0.022)	Loss 1.9920 (2.0034)	Prec@1 47.000 (48.532)	Prec@5 78.500 (78.608)
Epoch: [44][120/9018]	Time 0.606 (0.630)	Data 0.001 (0.020)	Loss 1.9724 (2.0089)	Prec@1 51.500 (48.409)	Prec@5 78.000 (78.500)
Epoch: [44][130/9018]	Time 0.597 (0.630)	Data 0.001 (0.019)	Loss 1.9926 (2.0116)	Prec@1 49.000 (48.225)	Prec@5 78.500 (78.435)
Epoch: [44][140/9018]	Time 0.621 (0.628)	Data 0.001 (0.017)	Loss 1.8787 (2.0094)	Prec@1 50.500 (48.284)	Prec@5 82.000 (78.500)
Epoch: [44][150/9018]	Time 0.607 (0.627)	Data 0.001 (0.016)	Loss 1.9931 (2.0101)	Prec@1 51.500 (48.209)	Prec@5 76.000 (78.490)
Epoch: [44][160/9018]	Time 0.602 (0.626)	Data 0.001 (0.015)	Loss 1.8931 (2.0062)	Prec@1 52.000 (48.329)	Prec@5 78.500 (78.587)
Epoch: [44][170/9018]	Time 0.605 (0.625)	Data 0.001 (0.014)	Loss 1.9345 (2.0072)	Prec@1 46.000 (48.275)	Prec@5 80.000 (78.564)
Epoch: [44][180/9018]	Time 0.601 (0.625)	Data 0.001 (0.014)	Loss 1.9179 (2.0064)	Prec@1 50.000 (48.365)	Prec@5 74.000 (78.536)
Epoch: [44][190/9018]	Time 0.596 (0.624)	Data 0.001 (0.013)	Loss 1.7921 (2.0026)	Prec@1 55.000 (48.479)	Prec@5 83.500 (78.597)
Epoch: [44][200/9018]	Time 0.599 (0.624)	Data 0.001 (0.012)	Loss 2.0382 (2.0053)	Prec@1 49.500 (48.450)	Prec@5 79.500 (78.537)
Epoch: [44][210/9018]	Time 0.622 (0.623)	Data 0.001 (0.012)	Loss 1.9528 (2.0044)	Prec@1 46.500 (48.481)	Prec@5 78.000 (78.507)
Epoch: [44][220/9018]	Time 0.599 (0.623)	Data 0.001 (0.011)	Loss 1.9725 (2.0054)	Prec@1 52.500 (48.477)	Prec@5 77.500 (78.475)
Epoch: [44][230/9018]	Time 0.600 (0.623)	Data 0.001 (0.011)	Loss 1.8968 (2.0054)	Prec@1 47.500 (48.463)	Prec@5 82.000 (78.504)
Epoch: [44][240/9018]	Time 0.610 (0.622)	Data 0.001 (0.010)	Loss 1.9871 (2.0093)	Prec@1 48.000 (48.330)	Prec@5 75.000 (78.436)
Epoch: [44][250/9018]	Time 0.604 (0.622)	Data 0.001 (0.010)	Loss 1.8523 (2.0077)	Prec@1 48.000 (48.394)	Prec@5 82.500 (78.436)
Epoch: [44][260/9018]	Time 0.607 (0.622)	Data 0.001 (0.010)	Loss 1.9251 (2.0067)	Prec@1 47.500 (48.389)	Prec@5 79.000 (78.466)
Epoch: [44][270/9018]	Time 0.615 (0.621)	Data 0.001 (0.009)	Loss 1.9406 (2.0100)	Prec@1 50.500 (48.327)	Prec@5 82.000 (78.417)
Epoch: [44][280/9018]	Time 0.601 (0.622)	Data 0.001 (0.009)	Loss 2.1147 (2.0112)	Prec@1 50.500 (48.278)	Prec@5 79.000 (78.459)
Epoch: [44][290/9018]	Time 0.616 (0.621)	Data 0.001 (0.009)	Loss 2.0726 (2.0106)	Prec@1 44.000 (48.314)	Prec@5 77.000 (78.478)
Epoch: [44][300/9018]	Time 0.629 (0.621)	Data 0.001 (0.008)	Loss 2.1037 (2.0084)	Prec@1 47.000 (48.347)	Prec@5 78.000 (78.538)
Epoch: [44][310/9018]	Time 0.616 (0.621)	Data 0.001 (0.008)	Loss 2.1616 (2.0068)	Prec@1 47.500 (48.355)	Prec@5 76.500 (78.556)
Epoch: [44][320/9018]	Time 0.615 (0.620)	Data 0.001 (0.008)	Loss 1.8832 (2.0076)	Prec@1 50.000 (48.310)	Prec@5 81.500 (78.558)
Epoch: [44][330/9018]	Time 0.607 (0.621)	Data 0.001 (0.008)	Loss 1.9534 (2.0088)	Prec@1 50.500 (48.279)	Prec@5 81.000 (78.545)
Epoch: [44][340/9018]	Time 0.630 (0.620)	Data 0.001 (0.008)	Loss 2.1363 (2.0109)	Prec@1 47.500 (48.260)	Prec@5 75.000 (78.504)
Epoch: [44][350/9018]	Time 0.592 (0.620)	Data 0.001 (0.007)	Loss 2.1881 (2.0129)	Prec@1 45.000 (48.195)	Prec@5 78.000 (78.480)
Epoch: [44][360/9018]	Time 0.717 (0.620)	Data 0.001 (0.007)	Loss 2.0029 (2.0142)	Prec@1 46.500 (48.157)	Prec@5 76.500 (78.440)
Epoch: [44][370/9018]	Time 0.596 (0.619)	Data 0.001 (0.007)	Loss 1.9140 (2.0135)	Prec@1 51.000 (48.193)	Prec@5 80.000 (78.454)
Epoch: [44][380/9018]	Time 0.601 (0.619)	Data 0.001 (0.007)	Loss 2.0055 (2.0147)	Prec@1 45.000 (48.169)	Prec@5 77.500 (78.437)
Epoch: [44][390/9018]	Time 0.594 (0.619)	Data 0.001 (0.007)	Loss 2.1269 (2.0154)	Prec@1 47.000 (48.148)	Prec@5 75.000 (78.394)
Epoch: [44][400/9018]	Time 0.598 (0.619)	Data 0.001 (0.007)	Loss 2.1194 (2.0147)	Prec@1 43.500 (48.182)	Prec@5 75.000 (78.413)
Epoch: [44][410/9018]	Time 0.743 (0.619)	Data 0.002 (0.006)	Loss 2.0524 (2.0148)	Prec@1 47.500 (48.169)	Prec@5 82.000 (78.434)
Epoch: [44][420/9018]	Time 0.612 (0.618)	Data 0.001 (0.006)	Loss 1.9485 (2.0144)	Prec@1 50.000 (48.167)	Prec@5 79.000 (78.437)
Epoch: [44][430/9018]	Time 0.600 (0.619)	Data 0.001 (0.006)	Loss 1.9610 (2.0148)	Prec@1 50.500 (48.167)	Prec@5 78.000 (78.425)
Epoch: [44][440/9018]	Time 0.639 (0.618)	Data 0.001 (0.006)	Loss 1.8624 (2.0154)	Prec@1 50.000 (48.133)	Prec@5 80.000 (78.427)
Epoch: [44][450/9018]	Time 0.599 (0.618)	Data 0.001 (0.006)	Loss 2.1941 (2.0169)	Prec@1 44.000 (48.137)	Prec@5 77.000 (78.395)
Epoch: [44][460/9018]	Time 0.601 (0.618)	Data 0.001 (0.006)	Loss 2.0679 (2.0171)	Prec@1 48.000 (48.130)	Prec@5 79.000 (78.384)
Epoch: [44][470/9018]	Time 0.615 (0.618)	Data 0.001 (0.006)	Loss 1.8354 (2.0160)	Prec@1 47.500 (48.146)	Prec@5 81.500 (78.428)
Epoch: [44][480/9018]	Time 0.594 (0.618)	Data 0.001 (0.006)	Loss 2.0080 (2.0142)	Prec@1 52.500 (48.191)	Prec@5 78.500 (78.446)
Epoch: [44][490/9018]	Time 0.632 (0.618)	Data 0.001 (0.006)	Loss 2.1346 (2.0149)	Prec@1 45.500 (48.145)	Prec@5 77.000 (78.441)
Epoch: [44][500/9018]	Time 0.603 (0.618)	Data 0.001 (0.005)	Loss 2.0801 (2.0163)	Prec@1 46.500 (48.115)	Prec@5 78.000 (78.415)
Epoch: [44][510/9018]	Time 0.614 (0.618)	Data 0.001 (0.005)	Loss 1.7910 (2.0163)	Prec@1 57.500 (48.115)	Prec@5 81.500 (78.417)
Epoch: [44][520/9018]	Time 0.603 (0.618)	Data 0.001 (0.005)	Loss 1.9164 (2.0161)	Prec@1 49.500 (48.096)	Prec@5 82.500 (78.422)
Epoch: [44][530/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 1.9633 (2.0172)	Prec@1 47.500 (48.065)	Prec@5 78.000 (78.411)
Epoch: [44][540/9018]	Time 0.620 (0.618)	Data 0.001 (0.005)	Loss 1.9706 (2.0174)	Prec@1 50.500 (48.082)	Prec@5 79.000 (78.401)
Epoch: [44][550/9018]	Time 0.598 (0.618)	Data 0.001 (0.005)	Loss 1.9430 (2.0183)	Prec@1 53.000 (48.056)	Prec@5 80.500 (78.386)
Epoch: [44][560/9018]	Time 0.602 (0.618)	Data 0.001 (0.005)	Loss 1.9260 (2.0174)	Prec@1 50.500 (48.061)	Prec@5 79.500 (78.394)
Epoch: [44][570/9018]	Time 0.627 (0.618)	Data 0.001 (0.005)	Loss 2.0659 (2.0179)	Prec@1 49.000 (48.043)	Prec@5 76.000 (78.384)
Epoch: [44][580/9018]	Time 0.596 (0.618)	Data 0.001 (0.005)	Loss 2.0073 (2.0171)	Prec@1 47.500 (48.060)	Prec@5 80.500 (78.412)
Epoch: [44][590/9018]	Time 0.634 (0.618)	Data 0.001 (0.005)	Loss 1.9053 (2.0160)	Prec@1 48.000 (48.075)	Prec@5 80.000 (78.431)
Epoch: [44][600/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 1.9307 (2.0151)	Prec@1 50.000 (48.097)	Prec@5 80.500 (78.453)
Epoch: [44][610/9018]	Time 0.617 (0.618)	Data 0.001 (0.005)	Loss 1.8825 (2.0147)	Prec@1 52.000 (48.115)	Prec@5 80.500 (78.454)
Epoch: [44][620/9018]	Time 0.623 (0.617)	Data 0.001 (0.005)	Loss 1.9696 (2.0151)	Prec@1 50.000 (48.107)	Prec@5 78.000 (78.438)
Epoch: [44][630/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 1.8509 (2.0140)	Prec@1 45.000 (48.104)	Prec@5 80.500 (78.459)
Epoch: [44][640/9018]	Time 0.630 (0.617)	Data 0.001 (0.004)	Loss 1.8852 (2.0147)	Prec@1 50.000 (48.093)	Prec@5 80.500 (78.456)
Epoch: [44][650/9018]	Time 0.614 (0.617)	Data 0.001 (0.004)	Loss 2.1505 (2.0145)	Prec@1 44.000 (48.090)	Prec@5 77.500 (78.441)
Epoch: [44][660/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 2.1503 (2.0149)	Prec@1 47.500 (48.093)	Prec@5 77.500 (78.435)
Epoch: [44][670/9018]	Time 0.618 (0.617)	Data 0.001 (0.004)	Loss 1.7623 (2.0140)	Prec@1 55.000 (48.113)	Prec@5 84.000 (78.458)
Epoch: [44][680/9018]	Time 0.604 (0.617)	Data 0.001 (0.004)	Loss 2.2806 (2.0148)	Prec@1 42.500 (48.104)	Prec@5 72.000 (78.446)
Epoch: [44][690/9018]	Time 0.725 (0.617)	Data 0.001 (0.004)	Loss 2.0501 (2.0150)	Prec@1 46.000 (48.091)	Prec@5 77.000 (78.439)
Epoch: [44][700/9018]	Time 0.613 (0.617)	Data 0.001 (0.004)	Loss 1.8681 (2.0153)	Prec@1 47.500 (48.082)	Prec@5 81.500 (78.439)
Epoch: [44][710/9018]	Time 0.591 (0.617)	Data 0.001 (0.004)	Loss 2.0494 (2.0150)	Prec@1 49.500 (48.086)	Prec@5 77.500 (78.439)
Epoch: [44][720/9018]	Time 0.605 (0.617)	Data 0.001 (0.004)	Loss 2.0273 (2.0156)	Prec@1 47.000 (48.071)	Prec@5 78.500 (78.429)
Epoch: [44][730/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 1.9470 (2.0154)	Prec@1 49.000 (48.067)	Prec@5 79.500 (78.420)
Epoch: [44][740/9018]	Time 0.741 (0.617)	Data 0.001 (0.004)	Loss 2.0734 (2.0154)	Prec@1 49.500 (48.057)	Prec@5 75.000 (78.418)
Epoch: [44][750/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 2.1360 (2.0153)	Prec@1 47.000 (48.053)	Prec@5 74.000 (78.423)
Epoch: [44][760/9018]	Time 0.594 (0.617)	Data 0.001 (0.004)	Loss 1.8836 (2.0148)	Prec@1 50.000 (48.073)	Prec@5 81.000 (78.441)
Epoch: [44][770/9018]	Time 0.614 (0.617)	Data 0.001 (0.004)	Loss 1.8963 (2.0139)	Prec@1 49.000 (48.092)	Prec@5 79.500 (78.446)
Epoch: [44][780/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 1.8979 (2.0144)	Prec@1 46.500 (48.080)	Prec@5 82.000 (78.443)
Epoch: [44][790/9018]	Time 0.625 (0.617)	Data 0.001 (0.004)	Loss 2.1470 (2.0147)	Prec@1 47.000 (48.056)	Prec@5 78.500 (78.439)
Epoch: [44][800/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.0550 (2.0148)	Prec@1 42.000 (48.044)	Prec@5 75.500 (78.439)
Epoch: [44][810/9018]	Time 0.606 (0.617)	Data 0.001 (0.004)	Loss 2.1652 (2.0150)	Prec@1 48.000 (48.031)	Prec@5 77.500 (78.434)
Epoch: [44][820/9018]	Time 0.621 (0.617)	Data 0.001 (0.004)	Loss 2.1619 (2.0146)	Prec@1 45.500 (48.035)	Prec@5 77.500 (78.447)
Epoch: [44][830/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 2.1227 (2.0148)	Prec@1 46.000 (48.039)	Prec@5 76.000 (78.437)
Epoch: [44][840/9018]	Time 0.612 (0.617)	Data 0.001 (0.004)	Loss 2.0402 (2.0150)	Prec@1 47.500 (48.031)	Prec@5 78.000 (78.432)
Epoch: [44][850/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.0154 (2.0143)	Prec@1 48.500 (48.036)	Prec@5 75.000 (78.451)
Epoch: [44][860/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 1.9914 (2.0142)	Prec@1 48.500 (48.063)	Prec@5 79.000 (78.439)
Epoch: [44][870/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 2.0019 (2.0142)	Prec@1 47.500 (48.056)	Prec@5 79.500 (78.444)
Epoch: [44][880/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.0221 (2.0145)	Prec@1 48.500 (48.051)	Prec@5 78.500 (78.443)
Epoch: [44][890/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 1.9646 (2.0141)	Prec@1 47.500 (48.052)	Prec@5 80.000 (78.466)
Epoch: [44][900/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 2.0429 (2.0134)	Prec@1 46.500 (48.070)	Prec@5 77.500 (78.484)
Epoch: [44][910/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 1.7748 (2.0133)	Prec@1 56.000 (48.080)	Prec@5 81.500 (78.483)
Epoch: [44][920/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 2.1547 (2.0143)	Prec@1 45.000 (48.056)	Prec@5 73.500 (78.460)
Epoch: [44][930/9018]	Time 0.603 (0.616)	Data 0.003 (0.003)	Loss 2.0242 (2.0142)	Prec@1 48.500 (48.057)	Prec@5 79.000 (78.468)
Epoch: [44][940/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 1.8766 (2.0147)	Prec@1 49.500 (48.064)	Prec@5 82.500 (78.453)
Epoch: [44][950/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 1.9364 (2.0153)	Prec@1 52.500 (48.064)	Prec@5 77.000 (78.434)
Epoch: [44][960/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 1.9504 (2.0153)	Prec@1 50.000 (48.053)	Prec@5 77.500 (78.431)
Epoch: [44][970/9018]	Time 0.625 (0.616)	Data 0.001 (0.003)	Loss 1.9854 (2.0153)	Prec@1 44.000 (48.045)	Prec@5 78.500 (78.427)
Epoch: [44][980/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.9070 (2.0154)	Prec@1 48.500 (48.038)	Prec@5 79.000 (78.422)
Epoch: [44][990/9018]	Time 0.589 (0.616)	Data 0.001 (0.003)	Loss 2.0890 (2.0149)	Prec@1 45.500 (48.052)	Prec@5 78.000 (78.422)
Epoch: [44][1000/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 2.2223 (2.0154)	Prec@1 43.000 (48.037)	Prec@5 75.000 (78.412)
Epoch: [44][1010/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.0827 (2.0155)	Prec@1 44.500 (48.034)	Prec@5 74.500 (78.410)
Epoch: [44][1020/9018]	Time 0.734 (0.616)	Data 0.001 (0.003)	Loss 1.9945 (2.0158)	Prec@1 50.500 (48.017)	Prec@5 78.000 (78.418)
Epoch: [44][1030/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.0470 (2.0164)	Prec@1 47.000 (48.000)	Prec@5 80.000 (78.413)
Epoch: [44][1040/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.8127 (2.0165)	Prec@1 54.000 (48.013)	Prec@5 80.500 (78.410)
Epoch: [44][1050/9018]	Time 0.628 (0.616)	Data 0.001 (0.003)	Loss 2.1669 (2.0166)	Prec@1 45.000 (48.009)	Prec@5 77.000 (78.402)
Epoch: [44][1060/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 1.9522 (2.0164)	Prec@1 51.000 (48.000)	Prec@5 77.500 (78.402)
Epoch: [44][1070/9018]	Time 0.711 (0.616)	Data 0.001 (0.003)	Loss 1.9774 (2.0169)	Prec@1 51.500 (47.986)	Prec@5 77.000 (78.393)
Epoch: [44][1080/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 1.8999 (2.0170)	Prec@1 54.000 (47.989)	Prec@5 81.000 (78.387)
Epoch: [44][1090/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.8599 (2.0172)	Prec@1 55.000 (47.983)	Prec@5 82.000 (78.386)
Epoch: [44][1100/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.0253 (2.0179)	Prec@1 48.000 (47.965)	Prec@5 82.000 (78.383)
Epoch: [44][1110/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.7538 (2.0174)	Prec@1 57.000 (47.984)	Prec@5 83.500 (78.399)
Epoch: [44][1120/9018]	Time 0.627 (0.616)	Data 0.001 (0.003)	Loss 2.0199 (2.0174)	Prec@1 47.000 (47.983)	Prec@5 78.000 (78.396)
Epoch: [44][1130/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.8661 (2.0170)	Prec@1 53.000 (47.977)	Prec@5 81.500 (78.397)
Epoch: [44][1140/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.0333 (2.0171)	Prec@1 44.500 (47.984)	Prec@5 76.000 (78.397)
Epoch: [44][1150/9018]	Time 0.636 (0.616)	Data 0.001 (0.003)	Loss 2.0307 (2.0176)	Prec@1 47.500 (47.980)	Prec@5 81.000 (78.390)
Epoch: [44][1160/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 2.0704 (2.0178)	Prec@1 43.000 (47.968)	Prec@5 79.000 (78.384)
Epoch: [44][1170/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.2153 (2.0179)	Prec@1 44.000 (47.972)	Prec@5 73.000 (78.378)
Epoch: [44][1180/9018]	Time 0.625 (0.616)	Data 0.001 (0.003)	Loss 2.0512 (2.0181)	Prec@1 50.000 (47.965)	Prec@5 77.000 (78.365)
Epoch: [44][1190/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.9609 (2.0184)	Prec@1 52.000 (47.955)	Prec@5 82.500 (78.360)
Epoch: [44][1200/9018]	Time 0.614 (0.616)	Data 0.001 (0.003)	Loss 2.0801 (2.0185)	Prec@1 46.500 (47.944)	Prec@5 78.000 (78.355)
Epoch: [44][1210/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.9354 (2.0184)	Prec@1 50.500 (47.945)	Prec@5 77.500 (78.346)
Epoch: [44][1220/9018]	Time 0.629 (0.616)	Data 0.001 (0.003)	Loss 1.9399 (2.0186)	Prec@1 48.000 (47.939)	Prec@5 81.000 (78.335)
Epoch: [44][1230/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.8251 (2.0187)	Prec@1 47.000 (47.933)	Prec@5 82.000 (78.330)
Epoch: [44][1240/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.9738 (2.0187)	Prec@1 48.500 (47.930)	Prec@5 79.500 (78.335)
Epoch: [44][1250/9018]	Time 0.641 (0.616)	Data 0.001 (0.003)	Loss 2.2113 (2.0191)	Prec@1 46.000 (47.919)	Prec@5 75.500 (78.333)
Epoch: [44][1260/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 2.0111 (2.0193)	Prec@1 49.500 (47.914)	Prec@5 80.500 (78.339)
Epoch: [44][1270/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 2.1765 (2.0198)	Prec@1 46.000 (47.904)	Prec@5 75.500 (78.328)
Epoch: [44][1280/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 2.1200 (2.0201)	Prec@1 43.000 (47.887)	Prec@5 75.500 (78.327)
Epoch: [44][1290/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 1.8569 (2.0198)	Prec@1 55.500 (47.908)	Prec@5 83.000 (78.332)
Epoch: [44][1300/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 1.9680 (2.0198)	Prec@1 46.500 (47.904)	Prec@5 80.500 (78.330)
Epoch: [44][1310/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 2.1600 (2.0202)	Prec@1 43.500 (47.901)	Prec@5 79.500 (78.324)
Epoch: [44][1320/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.9688 (2.0207)	Prec@1 52.000 (47.889)	Prec@5 78.000 (78.317)
Epoch: [44][1330/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 2.1025 (2.0212)	Prec@1 43.500 (47.877)	Prec@5 79.500 (78.310)
Epoch: [44][1340/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.9558 (2.0213)	Prec@1 46.500 (47.871)	Prec@5 81.000 (78.312)
Epoch: [44][1350/9018]	Time 0.739 (0.616)	Data 0.001 (0.002)	Loss 1.8656 (2.0213)	Prec@1 51.500 (47.867)	Prec@5 79.500 (78.306)
Epoch: [44][1360/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.1676 (2.0218)	Prec@1 44.500 (47.858)	Prec@5 77.500 (78.295)
Epoch: [44][1370/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0431 (2.0219)	Prec@1 48.000 (47.853)	Prec@5 77.000 (78.296)
Epoch: [44][1380/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 1.9632 (2.0221)	Prec@1 50.000 (47.854)	Prec@5 79.000 (78.283)
Epoch: [44][1390/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.8687 (2.0224)	Prec@1 51.000 (47.860)	Prec@5 83.500 (78.275)
Epoch: [44][1400/9018]	Time 0.723 (0.616)	Data 0.001 (0.002)	Loss 1.9438 (2.0223)	Prec@1 48.500 (47.861)	Prec@5 76.500 (78.273)
Epoch: [44][1410/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 2.0355 (2.0224)	Prec@1 44.500 (47.858)	Prec@5 76.500 (78.274)
Epoch: [44][1420/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.9913 (2.0222)	Prec@1 52.000 (47.854)	Prec@5 76.500 (78.277)
Epoch: [44][1430/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 1.9589 (2.0222)	Prec@1 47.000 (47.859)	Prec@5 82.000 (78.274)
Epoch: [44][1440/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.7522 (2.0221)	Prec@1 54.500 (47.868)	Prec@5 81.000 (78.278)
Epoch: [44][1450/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.0816 (2.0218)	Prec@1 47.500 (47.879)	Prec@5 73.500 (78.283)
Epoch: [44][1460/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.4020 (2.0221)	Prec@1 43.500 (47.874)	Prec@5 71.000 (78.276)
Epoch: [44][1470/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.8262 (2.0220)	Prec@1 49.500 (47.879)	Prec@5 80.500 (78.280)
Epoch: [44][1480/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 1.9134 (2.0220)	Prec@1 45.000 (47.877)	Prec@5 82.500 (78.284)
Epoch: [44][1490/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.1082 (2.0213)	Prec@1 46.000 (47.898)	Prec@5 80.500 (78.298)
Epoch: [44][1500/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8496 (2.0212)	Prec@1 52.500 (47.908)	Prec@5 84.500 (78.297)
Epoch: [44][1510/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.0016 (2.0218)	Prec@1 49.000 (47.901)	Prec@5 80.000 (78.284)
Epoch: [44][1520/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9563 (2.0214)	Prec@1 50.000 (47.908)	Prec@5 78.000 (78.290)
Epoch: [44][1530/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.8679 (2.0218)	Prec@1 51.500 (47.896)	Prec@5 80.000 (78.282)
Epoch: [44][1540/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.8995 (2.0218)	Prec@1 49.000 (47.892)	Prec@5 81.000 (78.289)
Epoch: [44][1550/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8575 (2.0215)	Prec@1 49.500 (47.894)	Prec@5 80.000 (78.293)
Epoch: [44][1560/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.0008 (2.0216)	Prec@1 45.000 (47.889)	Prec@5 76.000 (78.288)
Epoch: [44][1570/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.0495 (2.0217)	Prec@1 45.500 (47.891)	Prec@5 78.500 (78.286)
Epoch: [44][1580/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 2.1699 (2.0215)	Prec@1 41.500 (47.896)	Prec@5 77.000 (78.290)
Epoch: [44][1590/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9613 (2.0216)	Prec@1 49.500 (47.895)	Prec@5 78.500 (78.286)
Epoch: [44][1600/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.9673 (2.0214)	Prec@1 50.000 (47.898)	Prec@5 78.500 (78.289)
Epoch: [44][1610/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.2884 (2.0215)	Prec@1 40.500 (47.896)	Prec@5 75.000 (78.287)
Epoch: [44][1620/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.9613 (2.0214)	Prec@1 46.000 (47.901)	Prec@5 79.500 (78.292)
Epoch: [44][1630/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.0286 (2.0212)	Prec@1 48.000 (47.910)	Prec@5 76.500 (78.291)
Epoch: [44][1640/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8352 (2.0211)	Prec@1 52.500 (47.920)	Prec@5 79.500 (78.289)
Epoch: [44][1650/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.0702 (2.0210)	Prec@1 48.500 (47.921)	Prec@5 76.000 (78.293)
Epoch: [44][1660/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8243 (2.0215)	Prec@1 52.500 (47.908)	Prec@5 80.000 (78.288)
Epoch: [44][1670/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9397 (2.0215)	Prec@1 49.500 (47.909)	Prec@5 80.000 (78.289)
Epoch: [44][1680/9018]	Time 0.716 (0.616)	Data 0.001 (0.002)	Loss 2.2768 (2.0216)	Prec@1 43.500 (47.908)	Prec@5 73.500 (78.286)
Epoch: [44][1690/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9224 (2.0213)	Prec@1 51.500 (47.914)	Prec@5 79.000 (78.292)
Epoch: [44][1700/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 1.9662 (2.0212)	Prec@1 52.000 (47.922)	Prec@5 79.500 (78.297)
Epoch: [44][1710/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.0226 (2.0213)	Prec@1 47.500 (47.928)	Prec@5 79.000 (78.296)
Epoch: [44][1720/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.2862 (2.0216)	Prec@1 42.000 (47.916)	Prec@5 73.500 (78.293)
Epoch: [44][1730/9018]	Time 0.713 (0.616)	Data 0.001 (0.002)	Loss 2.0273 (2.0219)	Prec@1 49.000 (47.904)	Prec@5 82.500 (78.287)
Epoch: [44][1740/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.1555 (2.0220)	Prec@1 44.000 (47.900)	Prec@5 76.500 (78.285)
Epoch: [44][1750/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.1169 (2.0222)	Prec@1 44.500 (47.899)	Prec@5 77.500 (78.275)
Epoch: [44][1760/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 1.9115 (2.0224)	Prec@1 50.500 (47.888)	Prec@5 79.500 (78.277)
Epoch: [44][1770/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9075 (2.0223)	Prec@1 46.000 (47.883)	Prec@5 79.500 (78.280)
Epoch: [44][1780/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.0761 (2.0222)	Prec@1 52.500 (47.887)	Prec@5 79.500 (78.288)
Epoch: [44][1790/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9771 (2.0224)	Prec@1 50.500 (47.881)	Prec@5 81.500 (78.292)
Epoch: [44][1800/9018]	Time 0.586 (0.616)	Data 0.001 (0.002)	Loss 2.2894 (2.0226)	Prec@1 42.000 (47.877)	Prec@5 74.500 (78.289)
Epoch: [44][1810/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.0020 (2.0226)	Prec@1 48.000 (47.883)	Prec@5 78.500 (78.291)
Epoch: [44][1820/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.1139 (2.0225)	Prec@1 49.000 (47.884)	Prec@5 79.000 (78.289)
Epoch: [44][1830/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.0746 (2.0224)	Prec@1 49.000 (47.891)	Prec@5 75.000 (78.289)
Epoch: [44][1840/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.0713 (2.0224)	Prec@1 49.000 (47.889)	Prec@5 79.500 (78.288)
Epoch: [44][1850/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.0146 (2.0228)	Prec@1 45.500 (47.880)	Prec@5 78.000 (78.285)
Epoch: [44][1860/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.0170 (2.0230)	Prec@1 45.500 (47.871)	Prec@5 81.500 (78.282)
Epoch: [44][1870/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.0988 (2.0229)	Prec@1 46.500 (47.872)	Prec@5 78.500 (78.288)
Epoch: [44][1880/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0963 (2.0228)	Prec@1 45.000 (47.869)	Prec@5 77.500 (78.291)
Epoch: [44][1890/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.1078 (2.0228)	Prec@1 45.000 (47.866)	Prec@5 75.500 (78.285)
Epoch: [44][1900/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.7677 (2.0226)	Prec@1 56.000 (47.869)	Prec@5 83.000 (78.290)
Epoch: [44][1910/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 2.2039 (2.0229)	Prec@1 42.500 (47.865)	Prec@5 76.500 (78.280)
Epoch: [44][1920/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.1231 (2.0233)	Prec@1 44.500 (47.857)	Prec@5 80.500 (78.279)
Epoch: [44][1930/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.0123 (2.0235)	Prec@1 48.000 (47.854)	Prec@5 78.500 (78.274)
Epoch: [44][1940/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.0188 (2.0235)	Prec@1 46.000 (47.854)	Prec@5 79.000 (78.276)
Epoch: [44][1950/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.7953 (2.0233)	Prec@1 55.000 (47.859)	Prec@5 86.500 (78.285)
Epoch: [44][1960/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.0322 (2.0232)	Prec@1 50.000 (47.858)	Prec@5 77.000 (78.286)
Epoch: [44][1970/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.9270 (2.0232)	Prec@1 47.000 (47.858)	Prec@5 81.500 (78.287)
Epoch: [44][1980/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1076 (2.0234)	Prec@1 48.000 (47.857)	Prec@5 77.000 (78.282)
Epoch: [44][1990/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.1636 (2.0238)	Prec@1 47.500 (47.847)	Prec@5 76.000 (78.274)
Epoch: [44][2000/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 2.1209 (2.0235)	Prec@1 47.000 (47.860)	Prec@5 74.500 (78.279)
Epoch: [44][2010/9018]	Time 0.731 (0.616)	Data 0.001 (0.002)	Loss 1.9806 (2.0233)	Prec@1 53.000 (47.871)	Prec@5 81.500 (78.282)
Epoch: [44][2020/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.0079 (2.0236)	Prec@1 47.500 (47.862)	Prec@5 79.000 (78.281)
Epoch: [44][2030/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.9582 (2.0236)	Prec@1 48.500 (47.860)	Prec@5 78.500 (78.279)
Epoch: [44][2040/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.3700 (2.0240)	Prec@1 43.000 (47.856)	Prec@5 70.500 (78.268)
Epoch: [44][2050/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.0463 (2.0241)	Prec@1 43.000 (47.850)	Prec@5 77.500 (78.268)
Epoch: [44][2060/9018]	Time 0.746 (0.615)	Data 0.001 (0.002)	Loss 1.8192 (2.0239)	Prec@1 57.000 (47.852)	Prec@5 78.500 (78.270)
Epoch: [44][2070/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 2.3167 (2.0240)	Prec@1 42.500 (47.848)	Prec@5 70.500 (78.270)
Epoch: [44][2080/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.8686 (2.0240)	Prec@1 51.500 (47.846)	Prec@5 78.500 (78.270)
Epoch: [44][2090/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.3290 (2.0241)	Prec@1 44.000 (47.840)	Prec@5 73.000 (78.266)
Epoch: [44][2100/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.1496 (2.0241)	Prec@1 47.000 (47.839)	Prec@5 74.500 (78.266)
Epoch: [44][2110/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.0138 (2.0243)	Prec@1 47.500 (47.834)	Prec@5 78.000 (78.262)
Epoch: [44][2120/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.1343 (2.0243)	Prec@1 42.000 (47.833)	Prec@5 78.000 (78.259)
Epoch: [44][2130/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0121 (2.0241)	Prec@1 52.000 (47.840)	Prec@5 80.000 (78.257)
Epoch: [44][2140/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 1.8607 (2.0240)	Prec@1 50.000 (47.845)	Prec@5 82.500 (78.257)
Epoch: [44][2150/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.0172 (2.0239)	Prec@1 48.000 (47.846)	Prec@5 80.000 (78.259)
Epoch: [44][2160/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.0734 (2.0238)	Prec@1 47.000 (47.846)	Prec@5 76.500 (78.260)
Epoch: [44][2170/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 2.1638 (2.0239)	Prec@1 45.500 (47.845)	Prec@5 76.000 (78.261)
Epoch: [44][2180/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.1718 (2.0240)	Prec@1 45.000 (47.840)	Prec@5 75.000 (78.258)
Epoch: [44][2190/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 1.9760 (2.0241)	Prec@1 51.500 (47.843)	Prec@5 84.000 (78.257)
Epoch: [44][2200/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.1043 (2.0243)	Prec@1 46.000 (47.838)	Prec@5 79.500 (78.255)
Epoch: [44][2210/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0251 (2.0246)	Prec@1 41.500 (47.832)	Prec@5 80.000 (78.254)
Epoch: [44][2220/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.1954 (2.0244)	Prec@1 49.500 (47.837)	Prec@5 74.500 (78.256)
Epoch: [44][2230/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.2186 (2.0246)	Prec@1 43.500 (47.834)	Prec@5 72.500 (78.254)
Epoch: [44][2240/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.1358 (2.0246)	Prec@1 45.000 (47.826)	Prec@5 77.000 (78.257)
Epoch: [44][2250/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.7901 (2.0246)	Prec@1 50.500 (47.824)	Prec@5 85.000 (78.260)
Epoch: [44][2260/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.9747 (2.0243)	Prec@1 46.000 (47.827)	Prec@5 76.500 (78.262)
Epoch: [44][2270/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.9978 (2.0244)	Prec@1 48.000 (47.825)	Prec@5 77.500 (78.263)
Epoch: [44][2280/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 1.9755 (2.0245)	Prec@1 47.500 (47.821)	Prec@5 80.000 (78.257)
Epoch: [44][2290/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.0756 (2.0244)	Prec@1 47.500 (47.819)	Prec@5 77.500 (78.257)
Epoch: [44][2300/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.7974 (2.0244)	Prec@1 54.000 (47.818)	Prec@5 83.000 (78.255)
Epoch: [44][2310/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.2382 (2.0249)	Prec@1 45.000 (47.807)	Prec@5 71.500 (78.244)
Epoch: [44][2320/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.9883 (2.0250)	Prec@1 44.500 (47.799)	Prec@5 80.500 (78.246)
Epoch: [44][2330/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.0857 (2.0253)	Prec@1 48.000 (47.793)	Prec@5 74.500 (78.241)
Epoch: [44][2340/9018]	Time 0.713 (0.615)	Data 0.001 (0.002)	Loss 2.0572 (2.0253)	Prec@1 48.500 (47.789)	Prec@5 80.000 (78.243)
Epoch: [44][2350/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 1.8201 (2.0252)	Prec@1 52.000 (47.784)	Prec@5 81.000 (78.246)
Epoch: [44][2360/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.0136 (2.0252)	Prec@1 42.500 (47.781)	Prec@5 78.500 (78.247)
Epoch: [44][2370/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 1.9988 (2.0252)	Prec@1 46.500 (47.779)	Prec@5 79.500 (78.248)
Epoch: [44][2380/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9791 (2.0255)	Prec@1 48.000 (47.776)	Prec@5 77.000 (78.240)
Epoch: [44][2390/9018]	Time 0.727 (0.615)	Data 0.001 (0.002)	Loss 2.0687 (2.0256)	Prec@1 48.000 (47.776)	Prec@5 75.500 (78.237)
Epoch: [44][2400/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.8049 (2.0257)	Prec@1 52.500 (47.778)	Prec@5 84.000 (78.234)
Epoch: [44][2410/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.1997 (2.0258)	Prec@1 46.500 (47.779)	Prec@5 73.500 (78.230)
Epoch: [44][2420/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.2749 (2.0259)	Prec@1 43.000 (47.779)	Prec@5 74.500 (78.227)
Epoch: [44][2430/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9236 (2.0256)	Prec@1 50.500 (47.783)	Prec@5 79.000 (78.234)
Epoch: [44][2440/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.1755 (2.0256)	Prec@1 46.500 (47.789)	Prec@5 75.000 (78.233)
Epoch: [44][2450/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 1.9660 (2.0254)	Prec@1 49.500 (47.793)	Prec@5 79.000 (78.239)
Epoch: [44][2460/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.1921 (2.0254)	Prec@1 45.000 (47.794)	Prec@5 78.500 (78.240)
Epoch: [44][2470/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.9654 (2.0256)	Prec@1 45.000 (47.787)	Prec@5 78.000 (78.239)
Epoch: [44][2480/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.1370 (2.0258)	Prec@1 50.000 (47.786)	Prec@5 75.500 (78.236)
Epoch: [44][2490/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9399 (2.0255)	Prec@1 50.000 (47.793)	Prec@5 80.500 (78.235)
Epoch: [44][2500/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 1.8238 (2.0254)	Prec@1 53.000 (47.796)	Prec@5 82.500 (78.235)
Epoch: [44][2510/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.9473 (2.0253)	Prec@1 49.500 (47.794)	Prec@5 79.500 (78.242)
Epoch: [44][2520/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 1.8962 (2.0255)	Prec@1 49.000 (47.785)	Prec@5 80.500 (78.240)
Epoch: [44][2530/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0807 (2.0260)	Prec@1 47.000 (47.774)	Prec@5 78.000 (78.232)
Epoch: [44][2540/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.9033 (2.0260)	Prec@1 46.500 (47.774)	Prec@5 83.500 (78.231)
Epoch: [44][2550/9018]	Time 0.637 (0.615)	Data 0.001 (0.002)	Loss 2.0581 (2.0259)	Prec@1 48.500 (47.783)	Prec@5 80.000 (78.234)
Epoch: [44][2560/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.8359 (2.0257)	Prec@1 50.000 (47.790)	Prec@5 81.500 (78.235)
Epoch: [44][2570/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.0123 (2.0258)	Prec@1 48.500 (47.785)	Prec@5 78.500 (78.231)
Epoch: [44][2580/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0656 (2.0257)	Prec@1 48.000 (47.786)	Prec@5 77.500 (78.233)
Epoch: [44][2590/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.9428 (2.0258)	Prec@1 52.000 (47.784)	Prec@5 77.500 (78.228)
Epoch: [44][2600/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.9382 (2.0255)	Prec@1 47.500 (47.787)	Prec@5 81.000 (78.231)
Epoch: [44][2610/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.7868 (2.0254)	Prec@1 50.500 (47.785)	Prec@5 83.500 (78.233)
Epoch: [44][2620/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.0095 (2.0254)	Prec@1 49.000 (47.785)	Prec@5 80.000 (78.235)
Epoch: [44][2630/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.1080 (2.0254)	Prec@1 49.000 (47.783)	Prec@5 76.000 (78.232)
Epoch: [44][2640/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.2098 (2.0255)	Prec@1 43.500 (47.782)	Prec@5 76.500 (78.228)
Epoch: [44][2650/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 1.9994 (2.0258)	Prec@1 48.000 (47.774)	Prec@5 80.500 (78.227)
Epoch: [44][2660/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0304 (2.0257)	Prec@1 46.500 (47.773)	Prec@5 74.500 (78.232)
Epoch: [44][2670/9018]	Time 0.715 (0.615)	Data 0.001 (0.002)	Loss 2.1606 (2.0257)	Prec@1 45.500 (47.776)	Prec@5 76.000 (78.230)
Epoch: [44][2680/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.1318 (2.0259)	Prec@1 44.000 (47.771)	Prec@5 75.500 (78.225)
Epoch: [44][2690/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.1030 (2.0257)	Prec@1 46.000 (47.772)	Prec@5 77.000 (78.229)
Epoch: [44][2700/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.0613 (2.0258)	Prec@1 48.500 (47.772)	Prec@5 74.500 (78.223)
Epoch: [44][2710/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.8241 (2.0255)	Prec@1 49.500 (47.782)	Prec@5 80.000 (78.226)
Epoch: [44][2720/9018]	Time 0.724 (0.615)	Data 0.001 (0.002)	Loss 1.9990 (2.0255)	Prec@1 47.500 (47.781)	Prec@5 79.500 (78.226)
Epoch: [44][2730/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.2087 (2.0256)	Prec@1 45.000 (47.775)	Prec@5 76.500 (78.221)
Epoch: [44][2740/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0922 (2.0257)	Prec@1 42.500 (47.772)	Prec@5 76.500 (78.222)
Epoch: [44][2750/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 2.0764 (2.0258)	Prec@1 48.000 (47.771)	Prec@5 82.500 (78.222)
Epoch: [44][2760/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.2016 (2.0257)	Prec@1 40.000 (47.771)	Prec@5 75.000 (78.229)
Epoch: [44][2770/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 1.9041 (2.0260)	Prec@1 52.500 (47.770)	Prec@5 81.000 (78.226)
Epoch: [44][2780/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.7992 (2.0258)	Prec@1 53.000 (47.777)	Prec@5 84.500 (78.228)
Epoch: [44][2790/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.0621 (2.0259)	Prec@1 49.000 (47.775)	Prec@5 76.000 (78.228)
Epoch: [44][2800/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 2.2377 (2.0262)	Prec@1 45.500 (47.773)	Prec@5 76.000 (78.219)
Epoch: [44][2810/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.9576 (2.0264)	Prec@1 49.500 (47.765)	Prec@5 78.000 (78.216)
Epoch: [44][2820/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 2.1045 (2.0264)	Prec@1 48.500 (47.764)	Prec@5 78.000 (78.219)
Epoch: [44][2830/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.0950 (2.0265)	Prec@1 49.000 (47.758)	Prec@5 77.500 (78.217)
Epoch: [44][2840/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0315 (2.0266)	Prec@1 48.000 (47.755)	Prec@5 77.000 (78.214)
Epoch: [44][2850/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 2.0126 (2.0265)	Prec@1 47.000 (47.758)	Prec@5 78.500 (78.212)
Epoch: [44][2860/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0387 (2.0265)	Prec@1 44.500 (47.760)	Prec@5 81.000 (78.211)
Epoch: [44][2870/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.0077 (2.0265)	Prec@1 52.000 (47.759)	Prec@5 79.000 (78.212)
Epoch: [44][2880/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 1.9288 (2.0267)	Prec@1 51.500 (47.756)	Prec@5 80.000 (78.210)
Epoch: [44][2890/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.9911 (2.0266)	Prec@1 50.000 (47.759)	Prec@5 81.500 (78.214)
Epoch: [44][2900/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.1709 (2.0266)	Prec@1 43.000 (47.753)	Prec@5 77.000 (78.216)
Epoch: [44][2910/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.9659 (2.0267)	Prec@1 52.500 (47.749)	Prec@5 78.000 (78.212)
Epoch: [44][2920/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.9099 (2.0267)	Prec@1 48.000 (47.750)	Prec@5 78.500 (78.212)
Epoch: [44][2930/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 1.9577 (2.0267)	Prec@1 46.500 (47.744)	Prec@5 74.000 (78.207)
Epoch: [44][2940/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.0240 (2.0267)	Prec@1 44.500 (47.741)	Prec@5 77.500 (78.209)
Epoch: [44][2950/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.0327 (2.0268)	Prec@1 49.000 (47.738)	Prec@5 78.500 (78.206)
Epoch: [44][2960/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0423 (2.0268)	Prec@1 45.500 (47.736)	Prec@5 78.000 (78.204)
Epoch: [44][2970/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.2063 (2.0271)	Prec@1 46.000 (47.734)	Prec@5 76.000 (78.203)
Epoch: [44][2980/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.1782 (2.0272)	Prec@1 48.000 (47.730)	Prec@5 73.500 (78.202)
Epoch: [44][2990/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 1.9578 (2.0273)	Prec@1 48.500 (47.729)	Prec@5 79.000 (78.198)
Epoch: [44][3000/9018]	Time 0.709 (0.615)	Data 0.001 (0.002)	Loss 2.0829 (2.0274)	Prec@1 47.500 (47.731)	Prec@5 80.000 (78.197)
Epoch: [44][3010/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.9130 (2.0273)	Prec@1 48.000 (47.734)	Prec@5 81.500 (78.197)
Epoch: [44][3020/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.8541 (2.0275)	Prec@1 54.500 (47.728)	Prec@5 79.000 (78.193)
Epoch: [44][3030/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.2423 (2.0279)	Prec@1 46.500 (47.724)	Prec@5 73.500 (78.188)
Epoch: [44][3040/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.0948 (2.0279)	Prec@1 51.500 (47.728)	Prec@5 75.500 (78.187)
Epoch: [44][3050/9018]	Time 0.729 (0.615)	Data 0.001 (0.002)	Loss 1.6538 (2.0279)	Prec@1 53.500 (47.728)	Prec@5 85.500 (78.190)
Epoch: [44][3060/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.9605 (2.0281)	Prec@1 47.500 (47.720)	Prec@5 81.500 (78.187)
Epoch: [44][3070/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.2414 (2.0280)	Prec@1 42.500 (47.722)	Prec@5 75.500 (78.192)
Epoch: [44][3080/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.2573 (2.0281)	Prec@1 47.000 (47.720)	Prec@5 69.000 (78.190)
Epoch: [44][3090/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0901 (2.0282)	Prec@1 43.500 (47.717)	Prec@5 77.000 (78.187)
Epoch: [44][3100/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.0624 (2.0284)	Prec@1 49.000 (47.714)	Prec@5 77.000 (78.183)
Epoch: [44][3110/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.0194 (2.0285)	Prec@1 49.000 (47.712)	Prec@5 81.000 (78.177)
Epoch: [44][3120/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0977 (2.0286)	Prec@1 47.500 (47.709)	Prec@5 75.000 (78.176)
Epoch: [44][3130/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.9518 (2.0285)	Prec@1 48.500 (47.708)	Prec@5 81.000 (78.180)
Epoch: [44][3140/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.0103 (2.0286)	Prec@1 48.000 (47.706)	Prec@5 79.000 (78.177)
Epoch: [44][3150/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.9718 (2.0286)	Prec@1 49.500 (47.707)	Prec@5 80.000 (78.178)
Epoch: [44][3160/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 1.8247 (2.0284)	Prec@1 48.000 (47.710)	Prec@5 83.500 (78.180)
Epoch: [44][3170/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0226 (2.0282)	Prec@1 43.000 (47.716)	Prec@5 78.500 (78.182)
Epoch: [44][3180/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.3033 (2.0283)	Prec@1 42.000 (47.716)	Prec@5 72.000 (78.182)
Epoch: [44][3190/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0966 (2.0284)	Prec@1 46.000 (47.714)	Prec@5 77.500 (78.182)
Epoch: [44][3200/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0568 (2.0285)	Prec@1 46.000 (47.712)	Prec@5 73.500 (78.180)
Epoch: [44][3210/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0066 (2.0285)	Prec@1 50.000 (47.711)	Prec@5 78.000 (78.180)
Epoch: [44][3220/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9061 (2.0284)	Prec@1 52.000 (47.709)	Prec@5 81.000 (78.181)
Epoch: [44][3230/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9195 (2.0284)	Prec@1 50.500 (47.709)	Prec@5 81.500 (78.182)
Epoch: [44][3240/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0920 (2.0285)	Prec@1 43.000 (47.701)	Prec@5 75.500 (78.176)
Epoch: [44][3250/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1138 (2.0285)	Prec@1 42.500 (47.703)	Prec@5 76.500 (78.176)
Epoch: [44][3260/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0511 (2.0287)	Prec@1 49.000 (47.704)	Prec@5 76.000 (78.170)
Epoch: [44][3270/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0811 (2.0288)	Prec@1 45.000 (47.700)	Prec@5 76.500 (78.168)
Epoch: [44][3280/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.1569 (2.0289)	Prec@1 40.500 (47.695)	Prec@5 76.500 (78.167)
Epoch: [44][3290/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2137 (2.0291)	Prec@1 42.500 (47.686)	Prec@5 72.500 (78.162)
Epoch: [44][3300/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0631 (2.0291)	Prec@1 50.500 (47.685)	Prec@5 77.500 (78.160)
Epoch: [44][3310/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9248 (2.0292)	Prec@1 44.500 (47.683)	Prec@5 82.000 (78.157)
Epoch: [44][3320/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0737 (2.0291)	Prec@1 45.500 (47.681)	Prec@5 79.000 (78.159)
Epoch: [44][3330/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 2.0419 (2.0291)	Prec@1 49.500 (47.683)	Prec@5 76.500 (78.159)
Epoch: [44][3340/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.0298 (2.0289)	Prec@1 44.500 (47.688)	Prec@5 83.500 (78.161)
Epoch: [44][3350/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.2652 (2.0290)	Prec@1 45.500 (47.687)	Prec@5 71.500 (78.161)
Epoch: [44][3360/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2372 (2.0289)	Prec@1 47.500 (47.689)	Prec@5 72.500 (78.162)
Epoch: [44][3370/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.4196 (2.0289)	Prec@1 41.000 (47.693)	Prec@5 66.000 (78.158)
Epoch: [44][3380/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 1.9835 (2.0290)	Prec@1 52.500 (47.692)	Prec@5 81.000 (78.159)
Epoch: [44][3390/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.9451 (2.0291)	Prec@1 51.000 (47.691)	Prec@5 77.000 (78.155)
Epoch: [44][3400/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.3318 (2.0293)	Prec@1 40.500 (47.685)	Prec@5 73.000 (78.151)
Epoch: [44][3410/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0361 (2.0294)	Prec@1 47.000 (47.685)	Prec@5 77.500 (78.147)
Epoch: [44][3420/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9195 (2.0296)	Prec@1 51.000 (47.683)	Prec@5 78.500 (78.145)
Epoch: [44][3430/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.0465 (2.0297)	Prec@1 49.500 (47.682)	Prec@5 80.000 (78.138)
Epoch: [44][3440/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.1215 (2.0299)	Prec@1 42.500 (47.678)	Prec@5 77.500 (78.134)
Epoch: [44][3450/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1836 (2.0299)	Prec@1 41.000 (47.677)	Prec@5 75.000 (78.134)
Epoch: [44][3460/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9161 (2.0299)	Prec@1 48.500 (47.678)	Prec@5 80.500 (78.134)
Epoch: [44][3470/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0432 (2.0299)	Prec@1 48.000 (47.677)	Prec@5 77.000 (78.132)
Epoch: [44][3480/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1710 (2.0297)	Prec@1 47.000 (47.680)	Prec@5 73.500 (78.134)
Epoch: [44][3490/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.1305 (2.0297)	Prec@1 48.000 (47.678)	Prec@5 77.000 (78.138)
Epoch: [44][3500/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7781 (2.0296)	Prec@1 55.500 (47.682)	Prec@5 86.000 (78.142)
Epoch: [44][3510/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8762 (2.0295)	Prec@1 47.000 (47.686)	Prec@5 82.500 (78.144)
Epoch: [44][3520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0165 (2.0296)	Prec@1 49.500 (47.681)	Prec@5 76.000 (78.142)
Epoch: [44][3530/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8117 (2.0295)	Prec@1 46.000 (47.681)	Prec@5 86.000 (78.147)
Epoch: [44][3540/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.0816 (2.0295)	Prec@1 47.500 (47.683)	Prec@5 80.000 (78.149)
Epoch: [44][3550/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8909 (2.0294)	Prec@1 52.000 (47.683)	Prec@5 81.500 (78.150)
Epoch: [44][3560/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0439 (2.0295)	Prec@1 45.500 (47.683)	Prec@5 81.500 (78.151)
Epoch: [44][3570/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0071 (2.0296)	Prec@1 50.500 (47.681)	Prec@5 80.500 (78.150)
Epoch: [44][3580/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0351 (2.0296)	Prec@1 44.000 (47.680)	Prec@5 78.500 (78.150)
Epoch: [44][3590/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1658 (2.0298)	Prec@1 46.000 (47.674)	Prec@5 78.000 (78.148)
Epoch: [44][3600/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9825 (2.0298)	Prec@1 47.500 (47.675)	Prec@5 77.000 (78.151)
Epoch: [44][3610/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1025 (2.0298)	Prec@1 47.000 (47.676)	Prec@5 74.000 (78.150)
Epoch: [44][3620/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0295 (2.0299)	Prec@1 47.000 (47.674)	Prec@5 76.000 (78.150)
Epoch: [44][3630/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1858 (2.0301)	Prec@1 40.000 (47.672)	Prec@5 76.500 (78.148)
Epoch: [44][3640/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0584 (2.0301)	Prec@1 47.500 (47.671)	Prec@5 77.500 (78.149)
Epoch: [44][3650/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8754 (2.0303)	Prec@1 53.500 (47.665)	Prec@5 79.500 (78.146)
Epoch: [44][3660/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.0726 (2.0303)	Prec@1 47.000 (47.664)	Prec@5 76.500 (78.145)
Epoch: [44][3670/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9907 (2.0304)	Prec@1 47.500 (47.664)	Prec@5 81.500 (78.147)
Epoch: [44][3680/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1833 (2.0305)	Prec@1 42.500 (47.657)	Prec@5 77.500 (78.146)
Epoch: [44][3690/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.0787 (2.0306)	Prec@1 49.000 (47.657)	Prec@5 75.500 (78.143)
Epoch: [44][3700/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9586 (2.0307)	Prec@1 47.000 (47.659)	Prec@5 82.000 (78.141)
Epoch: [44][3710/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.0715 (2.0308)	Prec@1 47.000 (47.659)	Prec@5 76.000 (78.136)
Epoch: [44][3720/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2544 (2.0307)	Prec@1 43.500 (47.661)	Prec@5 73.500 (78.139)
Epoch: [44][3730/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0978 (2.0307)	Prec@1 48.000 (47.663)	Prec@5 77.500 (78.139)
Epoch: [44][3740/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9035 (2.0307)	Prec@1 50.500 (47.664)	Prec@5 81.500 (78.136)
Epoch: [44][3750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2021 (2.0309)	Prec@1 43.500 (47.662)	Prec@5 73.500 (78.133)
Epoch: [44][3760/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.0188 (2.0310)	Prec@1 51.000 (47.663)	Prec@5 75.500 (78.128)
Epoch: [44][3770/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0365 (2.0311)	Prec@1 43.000 (47.656)	Prec@5 77.000 (78.126)
Epoch: [44][3780/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0997 (2.0312)	Prec@1 47.000 (47.652)	Prec@5 77.500 (78.126)
Epoch: [44][3790/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9234 (2.0313)	Prec@1 49.500 (47.648)	Prec@5 77.000 (78.125)
Epoch: [44][3800/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0102 (2.0312)	Prec@1 49.500 (47.651)	Prec@5 77.000 (78.126)
Epoch: [44][3810/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.9889 (2.0312)	Prec@1 49.500 (47.646)	Prec@5 78.500 (78.128)
Epoch: [44][3820/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9419 (2.0313)	Prec@1 51.000 (47.646)	Prec@5 82.000 (78.127)
Epoch: [44][3830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9611 (2.0312)	Prec@1 45.000 (47.648)	Prec@5 80.000 (78.129)
Epoch: [44][3840/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8942 (2.0312)	Prec@1 50.500 (47.647)	Prec@5 81.000 (78.129)
Epoch: [44][3850/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0549 (2.0313)	Prec@1 45.000 (47.645)	Prec@5 79.500 (78.127)
Epoch: [44][3860/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8714 (2.0313)	Prec@1 50.500 (47.646)	Prec@5 82.000 (78.130)
Epoch: [44][3870/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 1.8740 (2.0313)	Prec@1 46.500 (47.647)	Prec@5 82.500 (78.128)
Epoch: [44][3880/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2603 (2.0314)	Prec@1 42.000 (47.644)	Prec@5 73.500 (78.127)
Epoch: [44][3890/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9149 (2.0315)	Prec@1 47.500 (47.643)	Prec@5 80.000 (78.125)
Epoch: [44][3900/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0684 (2.0315)	Prec@1 45.500 (47.640)	Prec@5 76.000 (78.124)
Epoch: [44][3910/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1856 (2.0316)	Prec@1 45.500 (47.642)	Prec@5 75.500 (78.122)
Epoch: [44][3920/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1238 (2.0318)	Prec@1 49.000 (47.638)	Prec@5 76.500 (78.120)
Epoch: [44][3930/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.0185 (2.0316)	Prec@1 50.000 (47.643)	Prec@5 78.000 (78.123)
Epoch: [44][3940/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.7791 (2.0316)	Prec@1 53.500 (47.645)	Prec@5 85.000 (78.124)
Epoch: [44][3950/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0521 (2.0317)	Prec@1 47.000 (47.643)	Prec@5 74.500 (78.121)
Epoch: [44][3960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1536 (2.0317)	Prec@1 46.500 (47.644)	Prec@5 78.500 (78.120)
Epoch: [44][3970/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1495 (2.0320)	Prec@1 46.000 (47.641)	Prec@5 72.500 (78.115)
Epoch: [44][3980/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9122 (2.0319)	Prec@1 50.000 (47.639)	Prec@5 84.500 (78.115)
Epoch: [44][3990/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 2.0246 (2.0319)	Prec@1 49.000 (47.641)	Prec@5 74.500 (78.115)
Epoch: [44][4000/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8802 (2.0319)	Prec@1 50.000 (47.643)	Prec@5 82.500 (78.114)
Epoch: [44][4010/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1097 (2.0319)	Prec@1 46.500 (47.643)	Prec@5 76.500 (78.115)
Epoch: [44][4020/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.1398 (2.0319)	Prec@1 48.000 (47.644)	Prec@5 76.000 (78.114)
Epoch: [44][4030/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7020 (2.0320)	Prec@1 55.500 (47.644)	Prec@5 83.500 (78.111)
Epoch: [44][4040/9018]	Time 0.701 (0.615)	Data 0.001 (0.001)	Loss 1.8850 (2.0321)	Prec@1 46.500 (47.638)	Prec@5 81.500 (78.113)
Epoch: [44][4050/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8421 (2.0320)	Prec@1 56.500 (47.638)	Prec@5 79.000 (78.112)
Epoch: [44][4060/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0977 (2.0320)	Prec@1 47.000 (47.638)	Prec@5 75.000 (78.111)
Epoch: [44][4070/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.0335 (2.0322)	Prec@1 51.000 (47.637)	Prec@5 78.000 (78.108)
Epoch: [44][4080/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0439 (2.0320)	Prec@1 52.000 (47.641)	Prec@5 78.500 (78.109)
Epoch: [44][4090/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9540 (2.0320)	Prec@1 51.000 (47.641)	Prec@5 81.000 (78.113)
Epoch: [44][4100/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0628 (2.0321)	Prec@1 45.500 (47.638)	Prec@5 80.500 (78.114)
Epoch: [44][4110/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1292 (2.0321)	Prec@1 49.000 (47.638)	Prec@5 73.000 (78.111)
Epoch: [44][4120/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.1056 (2.0322)	Prec@1 49.500 (47.638)	Prec@5 75.000 (78.107)
Epoch: [44][4130/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0784 (2.0322)	Prec@1 48.000 (47.639)	Prec@5 76.500 (78.107)
Epoch: [44][4140/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9700 (2.0324)	Prec@1 51.000 (47.637)	Prec@5 78.500 (78.103)
Epoch: [44][4150/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9843 (2.0323)	Prec@1 47.500 (47.638)	Prec@5 80.000 (78.105)
Epoch: [44][4160/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9469 (2.0323)	Prec@1 44.000 (47.638)	Prec@5 79.500 (78.103)
Epoch: [44][4170/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.8431 (2.0322)	Prec@1 53.000 (47.640)	Prec@5 83.000 (78.105)
Epoch: [44][4180/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.8782 (2.0322)	Prec@1 53.000 (47.642)	Prec@5 82.500 (78.107)
Epoch: [44][4190/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0781 (2.0321)	Prec@1 43.500 (47.642)	Prec@5 78.000 (78.110)
Epoch: [44][4200/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.1865 (2.0323)	Prec@1 43.500 (47.636)	Prec@5 75.500 (78.107)
Epoch: [44][4210/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9579 (2.0323)	Prec@1 52.000 (47.635)	Prec@5 79.500 (78.109)
Epoch: [44][4220/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8319 (2.0321)	Prec@1 53.000 (47.637)	Prec@5 80.500 (78.110)
Epoch: [44][4230/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0667 (2.0322)	Prec@1 48.000 (47.637)	Prec@5 78.500 (78.107)
Epoch: [44][4240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0569 (2.0322)	Prec@1 45.000 (47.639)	Prec@5 79.000 (78.108)
Epoch: [44][4250/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1731 (2.0323)	Prec@1 46.000 (47.641)	Prec@5 76.000 (78.107)
Epoch: [44][4260/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1292 (2.0323)	Prec@1 45.000 (47.642)	Prec@5 78.500 (78.107)
Epoch: [44][4270/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0537 (2.0322)	Prec@1 48.500 (47.643)	Prec@5 77.000 (78.110)
Epoch: [44][4280/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3182 (2.0323)	Prec@1 43.000 (47.644)	Prec@5 69.500 (78.107)
Epoch: [44][4290/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9064 (2.0321)	Prec@1 49.500 (47.647)	Prec@5 83.000 (78.112)
Epoch: [44][4300/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1701 (2.0320)	Prec@1 40.500 (47.647)	Prec@5 75.500 (78.113)
Epoch: [44][4310/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2490 (2.0320)	Prec@1 42.000 (47.646)	Prec@5 73.000 (78.115)
Epoch: [44][4320/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 2.0330 (2.0320)	Prec@1 48.000 (47.646)	Prec@5 77.000 (78.113)
Epoch: [44][4330/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0305 (2.0320)	Prec@1 49.500 (47.644)	Prec@5 76.500 (78.111)
Epoch: [44][4340/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.8998 (2.0320)	Prec@1 48.000 (47.642)	Prec@5 81.500 (78.110)
Epoch: [44][4350/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0897 (2.0320)	Prec@1 47.000 (47.638)	Prec@5 79.500 (78.111)
Epoch: [44][4360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9428 (2.0319)	Prec@1 55.500 (47.641)	Prec@5 76.500 (78.114)
Epoch: [44][4370/9018]	Time 0.694 (0.615)	Data 0.001 (0.001)	Loss 2.0445 (2.0318)	Prec@1 48.500 (47.644)	Prec@5 78.000 (78.115)
Epoch: [44][4380/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0545 (2.0319)	Prec@1 43.000 (47.643)	Prec@5 80.000 (78.114)
Epoch: [44][4390/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0317 (2.0319)	Prec@1 47.000 (47.642)	Prec@5 74.000 (78.115)
Epoch: [44][4400/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0125 (2.0319)	Prec@1 47.500 (47.640)	Prec@5 79.500 (78.116)
Epoch: [44][4410/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8133 (2.0318)	Prec@1 53.000 (47.642)	Prec@5 80.000 (78.115)
Epoch: [44][4420/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1557 (2.0317)	Prec@1 41.500 (47.647)	Prec@5 77.500 (78.117)
Epoch: [44][4430/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.1154 (2.0316)	Prec@1 45.000 (47.648)	Prec@5 77.000 (78.120)
Epoch: [44][4440/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1365 (2.0315)	Prec@1 42.500 (47.651)	Prec@5 78.000 (78.122)
Epoch: [44][4450/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 1.9559 (2.0315)	Prec@1 50.500 (47.655)	Prec@5 81.000 (78.121)
Epoch: [44][4460/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9892 (2.0315)	Prec@1 49.500 (47.653)	Prec@5 76.500 (78.123)
Epoch: [44][4470/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0521 (2.0314)	Prec@1 44.500 (47.655)	Prec@5 80.500 (78.126)
Epoch: [44][4480/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0097 (2.0313)	Prec@1 51.500 (47.658)	Prec@5 78.000 (78.127)
Epoch: [44][4490/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1656 (2.0314)	Prec@1 46.000 (47.654)	Prec@5 76.500 (78.125)
Epoch: [44][4500/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1378 (2.0314)	Prec@1 48.000 (47.654)	Prec@5 74.000 (78.124)
Epoch: [44][4510/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1959 (2.0315)	Prec@1 45.500 (47.651)	Prec@5 77.500 (78.122)
Epoch: [44][4520/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0782 (2.0316)	Prec@1 49.500 (47.650)	Prec@5 83.000 (78.122)
Epoch: [44][4530/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.0678 (2.0317)	Prec@1 47.500 (47.647)	Prec@5 75.500 (78.121)
Epoch: [44][4540/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9813 (2.0316)	Prec@1 49.500 (47.646)	Prec@5 80.000 (78.121)
Epoch: [44][4550/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9982 (2.0317)	Prec@1 47.000 (47.643)	Prec@5 77.500 (78.119)
Epoch: [44][4560/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2914 (2.0317)	Prec@1 42.000 (47.642)	Prec@5 73.500 (78.116)
Epoch: [44][4570/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0692 (2.0317)	Prec@1 46.000 (47.643)	Prec@5 80.000 (78.119)
Epoch: [44][4580/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.0243 (2.0318)	Prec@1 50.000 (47.641)	Prec@5 78.000 (78.117)
Epoch: [44][4590/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1098 (2.0317)	Prec@1 43.000 (47.643)	Prec@5 75.000 (78.117)
Epoch: [44][4600/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.7841 (2.0319)	Prec@1 52.500 (47.638)	Prec@5 83.000 (78.114)
Epoch: [44][4610/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0315 (2.0319)	Prec@1 51.000 (47.636)	Prec@5 78.500 (78.114)
Epoch: [44][4620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9559 (2.0319)	Prec@1 49.000 (47.634)	Prec@5 79.000 (78.113)
Epoch: [44][4630/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0917 (2.0319)	Prec@1 43.500 (47.637)	Prec@5 75.000 (78.117)
Epoch: [44][4640/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9191 (2.0318)	Prec@1 48.500 (47.637)	Prec@5 82.500 (78.119)
Epoch: [44][4650/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.0232 (2.0319)	Prec@1 51.000 (47.634)	Prec@5 76.000 (78.115)
Epoch: [44][4660/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 1.9172 (2.0317)	Prec@1 50.000 (47.637)	Prec@5 81.500 (78.117)
Epoch: [44][4670/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1747 (2.0319)	Prec@1 47.500 (47.636)	Prec@5 71.500 (78.114)
Epoch: [44][4680/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0908 (2.0319)	Prec@1 43.500 (47.633)	Prec@5 79.000 (78.113)
Epoch: [44][4690/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0541 (2.0319)	Prec@1 45.500 (47.631)	Prec@5 80.500 (78.113)
Epoch: [44][4700/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 1.9893 (2.0320)	Prec@1 47.500 (47.630)	Prec@5 78.500 (78.114)
Epoch: [44][4710/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0638 (2.0319)	Prec@1 44.500 (47.633)	Prec@5 76.500 (78.115)
Epoch: [44][4720/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.8828 (2.0319)	Prec@1 54.000 (47.632)	Prec@5 83.000 (78.117)
Epoch: [44][4730/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9664 (2.0320)	Prec@1 51.000 (47.632)	Prec@5 81.000 (78.116)
Epoch: [44][4740/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9691 (2.0320)	Prec@1 50.000 (47.630)	Prec@5 79.500 (78.115)
Epoch: [44][4750/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0028 (2.0320)	Prec@1 49.000 (47.628)	Prec@5 79.500 (78.115)
Epoch: [44][4760/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.4078 (2.0322)	Prec@1 38.500 (47.622)	Prec@5 71.000 (78.111)
Epoch: [44][4770/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9409 (2.0323)	Prec@1 48.000 (47.622)	Prec@5 80.000 (78.110)
Epoch: [44][4780/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2357 (2.0322)	Prec@1 47.500 (47.621)	Prec@5 71.500 (78.111)
Epoch: [44][4790/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9100 (2.0321)	Prec@1 48.000 (47.625)	Prec@5 80.500 (78.112)
Epoch: [44][4800/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.0823 (2.0321)	Prec@1 50.500 (47.626)	Prec@5 76.500 (78.112)
Epoch: [44][4810/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9334 (2.0321)	Prec@1 45.500 (47.624)	Prec@5 79.500 (78.110)
Epoch: [44][4820/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.0867 (2.0321)	Prec@1 48.500 (47.625)	Prec@5 75.500 (78.111)
Epoch: [44][4830/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.8407 (2.0320)	Prec@1 54.500 (47.624)	Prec@5 83.500 (78.113)
Epoch: [44][4840/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.1036 (2.0322)	Prec@1 46.500 (47.621)	Prec@5 72.500 (78.109)
Epoch: [44][4850/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.2021 (2.0324)	Prec@1 47.000 (47.620)	Prec@5 76.500 (78.107)
Epoch: [44][4860/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.8787 (2.0323)	Prec@1 49.500 (47.620)	Prec@5 81.000 (78.109)
Epoch: [44][4870/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1324 (2.0322)	Prec@1 48.000 (47.623)	Prec@5 76.000 (78.112)
Epoch: [44][4880/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.8308 (2.0320)	Prec@1 53.000 (47.627)	Prec@5 82.000 (78.116)
Epoch: [44][4890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9570 (2.0319)	Prec@1 46.500 (47.631)	Prec@5 82.000 (78.119)
Epoch: [44][4900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1283 (2.0319)	Prec@1 46.500 (47.632)	Prec@5 75.500 (78.116)
Epoch: [44][4910/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8499 (2.0320)	Prec@1 54.000 (47.628)	Prec@5 79.000 (78.116)
Epoch: [44][4920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9835 (2.0319)	Prec@1 48.000 (47.628)	Prec@5 78.500 (78.117)
Epoch: [44][4930/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2680 (2.0320)	Prec@1 42.500 (47.625)	Prec@5 74.000 (78.117)
Epoch: [44][4940/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0108 (2.0322)	Prec@1 45.500 (47.621)	Prec@5 77.500 (78.113)
Epoch: [44][4950/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9374 (2.0323)	Prec@1 47.000 (47.618)	Prec@5 80.000 (78.108)
Epoch: [44][4960/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 2.1240 (2.0323)	Prec@1 43.000 (47.616)	Prec@5 74.000 (78.109)
Epoch: [44][4970/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2350 (2.0323)	Prec@1 42.500 (47.613)	Prec@5 77.000 (78.109)
Epoch: [44][4980/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 1.9749 (2.0325)	Prec@1 49.000 (47.608)	Prec@5 79.500 (78.104)
Epoch: [44][4990/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9190 (2.0325)	Prec@1 48.500 (47.607)	Prec@5 79.000 (78.105)
Epoch: [44][5000/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0566 (2.0326)	Prec@1 47.000 (47.608)	Prec@5 78.500 (78.104)
Epoch: [44][5010/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.0509 (2.0326)	Prec@1 45.000 (47.607)	Prec@5 78.000 (78.106)
Epoch: [44][5020/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1004 (2.0327)	Prec@1 47.000 (47.608)	Prec@5 76.000 (78.103)
Epoch: [44][5030/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.1041 (2.0328)	Prec@1 43.500 (47.604)	Prec@5 74.000 (78.100)
Epoch: [44][5040/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1794 (2.0329)	Prec@1 44.000 (47.603)	Prec@5 75.000 (78.095)
Epoch: [44][5050/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1642 (2.0329)	Prec@1 42.500 (47.605)	Prec@5 77.000 (78.096)
Epoch: [44][5060/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.9499 (2.0328)	Prec@1 46.500 (47.607)	Prec@5 78.000 (78.096)
Epoch: [44][5070/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0896 (2.0328)	Prec@1 46.500 (47.608)	Prec@5 75.000 (78.095)
Epoch: [44][5080/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0176 (2.0328)	Prec@1 47.500 (47.607)	Prec@5 77.000 (78.095)
Epoch: [44][5090/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9419 (2.0329)	Prec@1 48.500 (47.604)	Prec@5 78.000 (78.093)
Epoch: [44][5100/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8852 (2.0331)	Prec@1 48.000 (47.599)	Prec@5 81.500 (78.092)
Epoch: [44][5110/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2521 (2.0332)	Prec@1 46.000 (47.599)	Prec@5 76.500 (78.091)
Epoch: [44][5120/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0835 (2.0331)	Prec@1 46.000 (47.603)	Prec@5 78.500 (78.092)
Epoch: [44][5130/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1184 (2.0330)	Prec@1 47.500 (47.604)	Prec@5 79.000 (78.094)
Epoch: [44][5140/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9144 (2.0330)	Prec@1 48.000 (47.607)	Prec@5 82.000 (78.095)
Epoch: [44][5150/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9546 (2.0329)	Prec@1 49.000 (47.609)	Prec@5 74.000 (78.095)
Epoch: [44][5160/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1932 (2.0329)	Prec@1 43.000 (47.607)	Prec@5 76.500 (78.095)
Epoch: [44][5170/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1080 (2.0329)	Prec@1 46.000 (47.607)	Prec@5 75.000 (78.094)
Epoch: [44][5180/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9879 (2.0329)	Prec@1 46.000 (47.608)	Prec@5 80.500 (78.095)
Epoch: [44][5190/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0289 (2.0330)	Prec@1 44.500 (47.606)	Prec@5 77.000 (78.093)
Epoch: [44][5200/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0802 (2.0330)	Prec@1 47.500 (47.608)	Prec@5 77.000 (78.093)
Epoch: [44][5210/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1328 (2.0332)	Prec@1 49.000 (47.608)	Prec@5 78.500 (78.088)
Epoch: [44][5220/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1499 (2.0332)	Prec@1 49.000 (47.609)	Prec@5 77.000 (78.088)
Epoch: [44][5230/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9193 (2.0332)	Prec@1 50.000 (47.610)	Prec@5 81.000 (78.090)
Epoch: [44][5240/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0512 (2.0332)	Prec@1 45.500 (47.610)	Prec@5 79.000 (78.091)
Epoch: [44][5250/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.0394 (2.0332)	Prec@1 47.000 (47.608)	Prec@5 77.000 (78.093)
Epoch: [44][5260/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9856 (2.0331)	Prec@1 49.000 (47.610)	Prec@5 78.500 (78.093)
Epoch: [44][5270/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9828 (2.0330)	Prec@1 50.000 (47.614)	Prec@5 79.500 (78.097)
Epoch: [44][5280/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1543 (2.0331)	Prec@1 50.000 (47.614)	Prec@5 74.000 (78.094)
Epoch: [44][5290/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0286 (2.0331)	Prec@1 52.500 (47.617)	Prec@5 78.500 (78.095)
Epoch: [44][5300/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9363 (2.0330)	Prec@1 48.500 (47.618)	Prec@5 82.500 (78.097)
Epoch: [44][5310/9018]	Time 0.717 (0.615)	Data 0.001 (0.001)	Loss 2.0585 (2.0331)	Prec@1 50.000 (47.617)	Prec@5 75.500 (78.094)
Epoch: [44][5320/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0298 (2.0331)	Prec@1 43.500 (47.615)	Prec@5 78.000 (78.094)
Epoch: [44][5330/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0706 (2.0332)	Prec@1 45.500 (47.613)	Prec@5 77.000 (78.090)
Epoch: [44][5340/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.9434 (2.0332)	Prec@1 50.500 (47.612)	Prec@5 80.000 (78.090)
Epoch: [44][5350/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1691 (2.0332)	Prec@1 44.000 (47.613)	Prec@5 76.000 (78.090)
Epoch: [44][5360/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 1.9049 (2.0333)	Prec@1 51.000 (47.608)	Prec@5 80.000 (78.087)
Epoch: [44][5370/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9778 (2.0333)	Prec@1 51.000 (47.610)	Prec@5 78.500 (78.085)
Epoch: [44][5380/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9638 (2.0333)	Prec@1 45.500 (47.611)	Prec@5 75.500 (78.083)
Epoch: [44][5390/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.1497 (2.0334)	Prec@1 40.500 (47.610)	Prec@5 78.500 (78.081)
Epoch: [44][5400/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0192 (2.0333)	Prec@1 52.500 (47.612)	Prec@5 78.000 (78.083)
Epoch: [44][5410/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9524 (2.0333)	Prec@1 52.500 (47.613)	Prec@5 79.500 (78.083)
Epoch: [44][5420/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0984 (2.0333)	Prec@1 46.500 (47.612)	Prec@5 76.500 (78.082)
Epoch: [44][5430/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0479 (2.0334)	Prec@1 50.500 (47.611)	Prec@5 79.000 (78.080)
Epoch: [44][5440/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1408 (2.0336)	Prec@1 42.500 (47.607)	Prec@5 73.500 (78.078)
Epoch: [44][5450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1580 (2.0336)	Prec@1 45.000 (47.606)	Prec@5 79.000 (78.078)
Epoch: [44][5460/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.2578 (2.0337)	Prec@1 43.000 (47.604)	Prec@5 73.000 (78.078)
Epoch: [44][5470/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1360 (2.0337)	Prec@1 46.000 (47.602)	Prec@5 74.000 (78.079)
Epoch: [44][5480/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9942 (2.0336)	Prec@1 47.500 (47.602)	Prec@5 77.500 (78.080)
Epoch: [44][5490/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1606 (2.0337)	Prec@1 47.000 (47.601)	Prec@5 77.000 (78.080)
Epoch: [44][5500/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0904 (2.0337)	Prec@1 50.000 (47.601)	Prec@5 77.500 (78.079)
Epoch: [44][5510/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1615 (2.0337)	Prec@1 45.500 (47.598)	Prec@5 77.000 (78.079)
Epoch: [44][5520/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 1.9935 (2.0338)	Prec@1 50.000 (47.597)	Prec@5 78.000 (78.077)
Epoch: [44][5530/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9904 (2.0338)	Prec@1 48.500 (47.597)	Prec@5 78.500 (78.076)
Epoch: [44][5540/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8772 (2.0338)	Prec@1 55.000 (47.600)	Prec@5 80.000 (78.077)
Epoch: [44][5550/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9922 (2.0339)	Prec@1 48.500 (47.599)	Prec@5 80.000 (78.074)
Epoch: [44][5560/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.2422 (2.0339)	Prec@1 41.500 (47.599)	Prec@5 75.500 (78.074)
Epoch: [44][5570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0505 (2.0340)	Prec@1 47.500 (47.595)	Prec@5 78.500 (78.073)
Epoch: [44][5580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1880 (2.0341)	Prec@1 43.000 (47.593)	Prec@5 78.000 (78.074)
Epoch: [44][5590/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.2803 (2.0341)	Prec@1 41.000 (47.593)	Prec@5 75.000 (78.074)
Epoch: [44][5600/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0439 (2.0340)	Prec@1 47.000 (47.593)	Prec@5 79.000 (78.075)
Epoch: [44][5610/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1847 (2.0340)	Prec@1 42.500 (47.595)	Prec@5 73.500 (78.074)
Epoch: [44][5620/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.5296 (2.0342)	Prec@1 38.500 (47.592)	Prec@5 67.500 (78.074)
Epoch: [44][5630/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0612 (2.0342)	Prec@1 47.500 (47.590)	Prec@5 79.500 (78.073)
Epoch: [44][5640/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.2725 (2.0343)	Prec@1 43.000 (47.590)	Prec@5 71.500 (78.072)
Epoch: [44][5650/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0141 (2.0343)	Prec@1 50.000 (47.588)	Prec@5 77.500 (78.073)
Epoch: [44][5660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1215 (2.0343)	Prec@1 46.000 (47.586)	Prec@5 74.000 (78.074)
Epoch: [44][5670/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1553 (2.0344)	Prec@1 45.000 (47.584)	Prec@5 75.000 (78.072)
Epoch: [44][5680/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8972 (2.0343)	Prec@1 51.000 (47.586)	Prec@5 79.000 (78.074)
Epoch: [44][5690/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 1.9967 (2.0344)	Prec@1 49.500 (47.585)	Prec@5 80.000 (78.073)
Epoch: [44][5700/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.8716 (2.0344)	Prec@1 52.500 (47.583)	Prec@5 79.000 (78.071)
Epoch: [44][5710/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1835 (2.0345)	Prec@1 41.500 (47.583)	Prec@5 74.500 (78.069)
Epoch: [44][5720/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0180 (2.0346)	Prec@1 46.000 (47.582)	Prec@5 76.500 (78.066)
Epoch: [44][5730/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1831 (2.0345)	Prec@1 42.000 (47.583)	Prec@5 76.000 (78.067)
Epoch: [44][5740/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1378 (2.0346)	Prec@1 45.500 (47.582)	Prec@5 76.500 (78.067)
Epoch: [44][5750/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9222 (2.0346)	Prec@1 49.500 (47.584)	Prec@5 78.500 (78.067)
Epoch: [44][5760/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8842 (2.0344)	Prec@1 47.000 (47.587)	Prec@5 81.500 (78.068)
Epoch: [44][5770/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.9046 (2.0344)	Prec@1 48.000 (47.585)	Prec@5 79.500 (78.068)
Epoch: [44][5780/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0808 (2.0344)	Prec@1 47.500 (47.586)	Prec@5 75.000 (78.067)
Epoch: [44][5790/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8201 (2.0343)	Prec@1 57.500 (47.587)	Prec@5 82.000 (78.067)
Epoch: [44][5800/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.0575 (2.0344)	Prec@1 45.500 (47.586)	Prec@5 77.500 (78.066)
Epoch: [44][5810/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0728 (2.0345)	Prec@1 48.000 (47.587)	Prec@5 76.000 (78.066)
Epoch: [44][5820/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1228 (2.0345)	Prec@1 44.000 (47.584)	Prec@5 74.000 (78.066)
Epoch: [44][5830/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.1048 (2.0345)	Prec@1 47.000 (47.585)	Prec@5 75.500 (78.064)
Epoch: [44][5840/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9589 (2.0345)	Prec@1 49.000 (47.585)	Prec@5 81.000 (78.063)
Epoch: [44][5850/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1883 (2.0346)	Prec@1 41.500 (47.585)	Prec@5 74.500 (78.063)
Epoch: [44][5860/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1058 (2.0346)	Prec@1 42.500 (47.582)	Prec@5 78.500 (78.062)
Epoch: [44][5870/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1179 (2.0346)	Prec@1 46.000 (47.584)	Prec@5 76.500 (78.061)
Epoch: [44][5880/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8037 (2.0346)	Prec@1 46.500 (47.584)	Prec@5 82.500 (78.062)
Epoch: [44][5890/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0346 (2.0346)	Prec@1 47.000 (47.584)	Prec@5 79.500 (78.060)
Epoch: [44][5900/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8834 (2.0346)	Prec@1 48.000 (47.584)	Prec@5 81.500 (78.061)
Epoch: [44][5910/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0259 (2.0348)	Prec@1 48.000 (47.583)	Prec@5 76.500 (78.058)
Epoch: [44][5920/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0755 (2.0348)	Prec@1 49.000 (47.583)	Prec@5 74.500 (78.057)
Epoch: [44][5930/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2048 (2.0348)	Prec@1 45.500 (47.586)	Prec@5 78.000 (78.057)
Epoch: [44][5940/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9433 (2.0349)	Prec@1 49.000 (47.583)	Prec@5 80.500 (78.056)
Epoch: [44][5950/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.7835 (2.0349)	Prec@1 52.000 (47.582)	Prec@5 83.000 (78.054)
Epoch: [44][5960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2499 (2.0351)	Prec@1 38.000 (47.579)	Prec@5 75.000 (78.053)
Epoch: [44][5970/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.1253 (2.0350)	Prec@1 48.500 (47.581)	Prec@5 74.000 (78.053)
Epoch: [44][5980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8400 (2.0350)	Prec@1 47.500 (47.582)	Prec@5 83.500 (78.055)
Epoch: [44][5990/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1739 (2.0351)	Prec@1 41.500 (47.577)	Prec@5 72.500 (78.053)
Epoch: [44][6000/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1681 (2.0352)	Prec@1 48.000 (47.578)	Prec@5 72.500 (78.052)
Epoch: [44][6010/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1517 (2.0352)	Prec@1 45.000 (47.575)	Prec@5 76.500 (78.050)
Epoch: [44][6020/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.0782 (2.0351)	Prec@1 45.000 (47.576)	Prec@5 79.500 (78.052)
Epoch: [44][6030/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9800 (2.0352)	Prec@1 46.500 (47.572)	Prec@5 79.500 (78.052)
Epoch: [44][6040/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8932 (2.0352)	Prec@1 52.500 (47.573)	Prec@5 81.000 (78.052)
Epoch: [44][6050/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8182 (2.0352)	Prec@1 51.000 (47.574)	Prec@5 84.000 (78.054)
Epoch: [44][6060/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1358 (2.0352)	Prec@1 42.500 (47.572)	Prec@5 74.500 (78.054)
Epoch: [44][6070/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.0838 (2.0353)	Prec@1 46.000 (47.567)	Prec@5 78.000 (78.052)
Epoch: [44][6080/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0250 (2.0353)	Prec@1 52.000 (47.571)	Prec@5 76.500 (78.054)
Epoch: [44][6090/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1303 (2.0354)	Prec@1 44.000 (47.568)	Prec@5 76.000 (78.052)
Epoch: [44][6100/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.0550 (2.0354)	Prec@1 47.000 (47.569)	Prec@5 80.000 (78.051)
Epoch: [44][6110/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8577 (2.0354)	Prec@1 51.500 (47.569)	Prec@5 79.500 (78.052)
Epoch: [44][6120/9018]	Time 0.602 (0.615)	Data 0.002 (0.001)	Loss 1.9680 (2.0354)	Prec@1 54.500 (47.568)	Prec@5 80.500 (78.053)
Epoch: [44][6130/9018]	Time 0.650 (0.615)	Data 0.001 (0.001)	Loss 2.1446 (2.0355)	Prec@1 44.500 (47.568)	Prec@5 75.500 (78.051)
Epoch: [44][6140/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0346 (2.0355)	Prec@1 46.000 (47.566)	Prec@5 76.500 (78.049)
Epoch: [44][6150/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0107 (2.0355)	Prec@1 45.500 (47.567)	Prec@5 79.500 (78.050)
Epoch: [44][6160/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.2902 (2.0356)	Prec@1 43.500 (47.564)	Prec@5 74.000 (78.049)
Epoch: [44][6170/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9777 (2.0356)	Prec@1 52.000 (47.564)	Prec@5 75.500 (78.048)
Epoch: [44][6180/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0429 (2.0356)	Prec@1 49.000 (47.564)	Prec@5 82.000 (78.048)
Epoch: [44][6190/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0522 (2.0356)	Prec@1 49.500 (47.565)	Prec@5 78.000 (78.049)
Epoch: [44][6200/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.1708 (2.0357)	Prec@1 43.000 (47.562)	Prec@5 77.500 (78.048)
Epoch: [44][6210/9018]	Time 0.654 (0.615)	Data 0.001 (0.001)	Loss 2.0339 (2.0357)	Prec@1 44.000 (47.559)	Prec@5 78.500 (78.048)
Epoch: [44][6220/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.9791 (2.0357)	Prec@1 50.000 (47.557)	Prec@5 77.500 (78.047)
Epoch: [44][6230/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9662 (2.0357)	Prec@1 51.000 (47.558)	Prec@5 82.000 (78.050)
Epoch: [44][6240/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0639 (2.0356)	Prec@1 48.500 (47.557)	Prec@5 77.000 (78.051)
Epoch: [44][6250/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.1253 (2.0357)	Prec@1 44.500 (47.555)	Prec@5 73.000 (78.050)
Epoch: [44][6260/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0562 (2.0358)	Prec@1 47.000 (47.553)	Prec@5 74.500 (78.047)
Epoch: [44][6270/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9962 (2.0358)	Prec@1 49.000 (47.552)	Prec@5 78.000 (78.047)
Epoch: [44][6280/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0621 (2.0358)	Prec@1 42.000 (47.551)	Prec@5 79.500 (78.050)
Epoch: [44][6290/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8726 (2.0357)	Prec@1 50.000 (47.554)	Prec@5 80.000 (78.051)
Epoch: [44][6300/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 2.1156 (2.0357)	Prec@1 46.500 (47.553)	Prec@5 77.000 (78.050)
Epoch: [44][6310/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9952 (2.0357)	Prec@1 52.500 (47.552)	Prec@5 84.000 (78.051)
Epoch: [44][6320/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0386 (2.0356)	Prec@1 47.000 (47.552)	Prec@5 77.000 (78.055)
Epoch: [44][6330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0032 (2.0356)	Prec@1 48.500 (47.554)	Prec@5 75.500 (78.055)
Epoch: [44][6340/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1551 (2.0356)	Prec@1 48.000 (47.553)	Prec@5 76.500 (78.057)
Epoch: [44][6350/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 1.9565 (2.0356)	Prec@1 46.500 (47.553)	Prec@5 81.500 (78.057)
Epoch: [44][6360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6635 (2.0356)	Prec@1 54.500 (47.554)	Prec@5 85.000 (78.057)
Epoch: [44][6370/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8075 (2.0355)	Prec@1 52.500 (47.554)	Prec@5 82.500 (78.059)
Epoch: [44][6380/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0377 (2.0355)	Prec@1 50.000 (47.557)	Prec@5 78.500 (78.059)
Epoch: [44][6390/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0047 (2.0356)	Prec@1 49.000 (47.555)	Prec@5 76.000 (78.056)
Epoch: [44][6400/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2834 (2.0357)	Prec@1 43.000 (47.551)	Prec@5 75.500 (78.055)
Epoch: [44][6410/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0033 (2.0356)	Prec@1 49.000 (47.551)	Prec@5 77.500 (78.058)
Epoch: [44][6420/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9161 (2.0356)	Prec@1 53.000 (47.552)	Prec@5 77.500 (78.057)
Epoch: [44][6430/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9168 (2.0357)	Prec@1 47.500 (47.550)	Prec@5 80.500 (78.056)
Epoch: [44][6440/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1332 (2.0358)	Prec@1 46.500 (47.550)	Prec@5 75.000 (78.054)
Epoch: [44][6450/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2822 (2.0359)	Prec@1 40.500 (47.549)	Prec@5 74.500 (78.053)
Epoch: [44][6460/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0306 (2.0358)	Prec@1 47.500 (47.551)	Prec@5 79.500 (78.054)
Epoch: [44][6470/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.0152 (2.0359)	Prec@1 51.000 (47.551)	Prec@5 74.000 (78.052)
Epoch: [44][6480/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9623 (2.0358)	Prec@1 48.000 (47.551)	Prec@5 75.000 (78.052)
Epoch: [44][6490/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1001 (2.0358)	Prec@1 45.000 (47.550)	Prec@5 79.000 (78.055)
Epoch: [44][6500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9956 (2.0357)	Prec@1 47.500 (47.553)	Prec@5 79.500 (78.055)
Epoch: [44][6510/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8377 (2.0357)	Prec@1 53.000 (47.555)	Prec@5 81.000 (78.054)
Epoch: [44][6520/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1062 (2.0357)	Prec@1 44.000 (47.557)	Prec@5 72.500 (78.053)
Epoch: [44][6530/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9403 (2.0356)	Prec@1 51.000 (47.561)	Prec@5 80.500 (78.054)
Epoch: [44][6540/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1073 (2.0355)	Prec@1 44.000 (47.561)	Prec@5 77.500 (78.055)
Epoch: [44][6550/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9163 (2.0355)	Prec@1 54.000 (47.563)	Prec@5 77.000 (78.054)
Epoch: [44][6560/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0756 (2.0356)	Prec@1 45.000 (47.562)	Prec@5 76.000 (78.052)
Epoch: [44][6570/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1333 (2.0356)	Prec@1 49.500 (47.560)	Prec@5 77.000 (78.051)
Epoch: [44][6580/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9338 (2.0356)	Prec@1 49.500 (47.560)	Prec@5 79.500 (78.051)
Epoch: [44][6590/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0013 (2.0357)	Prec@1 49.500 (47.558)	Prec@5 79.000 (78.050)
Epoch: [44][6600/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9494 (2.0357)	Prec@1 52.000 (47.559)	Prec@5 82.500 (78.051)
Epoch: [44][6610/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1911 (2.0357)	Prec@1 45.000 (47.562)	Prec@5 77.500 (78.049)
Epoch: [44][6620/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8665 (2.0358)	Prec@1 49.000 (47.560)	Prec@5 80.000 (78.048)
Epoch: [44][6630/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 1.8118 (2.0357)	Prec@1 52.000 (47.563)	Prec@5 81.000 (78.050)
Epoch: [44][6640/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8979 (2.0357)	Prec@1 49.500 (47.562)	Prec@5 82.500 (78.050)
Epoch: [44][6650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9191 (2.0357)	Prec@1 53.000 (47.562)	Prec@5 79.500 (78.050)
Epoch: [44][6660/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.7954 (2.0357)	Prec@1 52.500 (47.560)	Prec@5 84.000 (78.049)
Epoch: [44][6670/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9324 (2.0357)	Prec@1 48.500 (47.561)	Prec@5 80.500 (78.050)
Epoch: [44][6680/9018]	Time 0.758 (0.615)	Data 0.001 (0.001)	Loss 1.9434 (2.0356)	Prec@1 49.500 (47.562)	Prec@5 80.500 (78.052)
Epoch: [44][6690/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9895 (2.0357)	Prec@1 54.000 (47.559)	Prec@5 78.500 (78.050)
Epoch: [44][6700/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8222 (2.0356)	Prec@1 54.000 (47.561)	Prec@5 84.000 (78.052)
Epoch: [44][6710/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1100 (2.0357)	Prec@1 48.500 (47.560)	Prec@5 77.000 (78.051)
Epoch: [44][6720/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.3469 (2.0359)	Prec@1 44.500 (47.555)	Prec@5 74.000 (78.047)
Epoch: [44][6730/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0799 (2.0359)	Prec@1 47.500 (47.557)	Prec@5 78.000 (78.046)
Epoch: [44][6740/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.9714 (2.0358)	Prec@1 47.500 (47.557)	Prec@5 77.500 (78.049)
Epoch: [44][6750/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2100 (2.0358)	Prec@1 47.000 (47.557)	Prec@5 77.500 (78.050)
Epoch: [44][6760/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1101 (2.0357)	Prec@1 45.500 (47.558)	Prec@5 76.500 (78.051)
Epoch: [44][6770/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9392 (2.0357)	Prec@1 50.000 (47.559)	Prec@5 79.500 (78.052)
Epoch: [44][6780/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.9009 (2.0357)	Prec@1 55.000 (47.559)	Prec@5 78.000 (78.051)
Epoch: [44][6790/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9315 (2.0357)	Prec@1 50.000 (47.560)	Prec@5 79.000 (78.052)
Epoch: [44][6800/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9458 (2.0357)	Prec@1 46.000 (47.559)	Prec@5 80.000 (78.052)
Epoch: [44][6810/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0724 (2.0358)	Prec@1 49.500 (47.557)	Prec@5 80.000 (78.049)
Epoch: [44][6820/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0116 (2.0359)	Prec@1 45.500 (47.557)	Prec@5 77.000 (78.048)
Epoch: [44][6830/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9626 (2.0359)	Prec@1 46.500 (47.557)	Prec@5 82.500 (78.048)
Epoch: [44][6840/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.1408 (2.0360)	Prec@1 43.000 (47.554)	Prec@5 78.000 (78.049)
Epoch: [44][6850/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0936 (2.0360)	Prec@1 46.000 (47.552)	Prec@5 72.500 (78.047)
Epoch: [44][6860/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0045 (2.0360)	Prec@1 43.500 (47.551)	Prec@5 81.500 (78.048)
Epoch: [44][6870/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.9640 (2.0360)	Prec@1 47.000 (47.550)	Prec@5 79.000 (78.048)
Epoch: [44][6880/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2581 (2.0361)	Prec@1 42.500 (47.548)	Prec@5 74.500 (78.046)
Epoch: [44][6890/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9680 (2.0361)	Prec@1 46.500 (47.547)	Prec@5 80.000 (78.047)
Epoch: [44][6900/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2522 (2.0361)	Prec@1 45.000 (47.549)	Prec@5 74.000 (78.046)
Epoch: [44][6910/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.2220 (2.0362)	Prec@1 43.500 (47.547)	Prec@5 75.000 (78.046)
Epoch: [44][6920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0479 (2.0361)	Prec@1 46.500 (47.547)	Prec@5 81.000 (78.047)
Epoch: [44][6930/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0111 (2.0362)	Prec@1 49.500 (47.545)	Prec@5 80.000 (78.045)
Epoch: [44][6940/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9828 (2.0361)	Prec@1 46.000 (47.546)	Prec@5 81.500 (78.048)
Epoch: [44][6950/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9233 (2.0360)	Prec@1 50.000 (47.548)	Prec@5 79.500 (78.050)
Epoch: [44][6960/9018]	Time 0.708 (0.615)	Data 0.001 (0.001)	Loss 1.9541 (2.0360)	Prec@1 50.000 (47.549)	Prec@5 82.000 (78.050)
Epoch: [44][6970/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.0103 (2.0360)	Prec@1 51.500 (47.548)	Prec@5 80.000 (78.049)
Epoch: [44][6980/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8381 (2.0359)	Prec@1 54.500 (47.552)	Prec@5 79.500 (78.049)
Epoch: [44][6990/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9484 (2.0360)	Prec@1 49.500 (47.549)	Prec@5 77.000 (78.047)
Epoch: [44][7000/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0059 (2.0360)	Prec@1 46.000 (47.549)	Prec@5 77.500 (78.047)
Epoch: [44][7010/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 2.1472 (2.0361)	Prec@1 42.500 (47.547)	Prec@5 79.500 (78.048)
Epoch: [44][7020/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.3481 (2.0362)	Prec@1 42.000 (47.545)	Prec@5 75.000 (78.045)
Epoch: [44][7030/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8680 (2.0361)	Prec@1 50.000 (47.548)	Prec@5 80.500 (78.045)
Epoch: [44][7040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0056 (2.0361)	Prec@1 49.500 (47.548)	Prec@5 78.500 (78.045)
Epoch: [44][7050/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2386 (2.0363)	Prec@1 44.000 (47.547)	Prec@5 78.000 (78.042)
Epoch: [44][7060/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.9602 (2.0363)	Prec@1 46.500 (47.546)	Prec@5 79.500 (78.043)
Epoch: [44][7070/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3372 (2.0363)	Prec@1 42.000 (47.547)	Prec@5 71.500 (78.041)
Epoch: [44][7080/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9122 (2.0364)	Prec@1 51.500 (47.545)	Prec@5 80.000 (78.041)
Epoch: [44][7090/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.1710 (2.0364)	Prec@1 44.500 (47.544)	Prec@5 73.500 (78.040)
Epoch: [44][7100/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0854 (2.0364)	Prec@1 43.500 (47.542)	Prec@5 74.000 (78.040)
Epoch: [44][7110/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9166 (2.0365)	Prec@1 52.500 (47.541)	Prec@5 78.500 (78.039)
Epoch: [44][7120/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8802 (2.0365)	Prec@1 52.000 (47.540)	Prec@5 80.000 (78.039)
Epoch: [44][7130/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0020 (2.0365)	Prec@1 44.000 (47.538)	Prec@5 81.500 (78.039)
Epoch: [44][7140/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9040 (2.0365)	Prec@1 49.500 (47.540)	Prec@5 82.000 (78.039)
Epoch: [44][7150/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0919 (2.0366)	Prec@1 50.500 (47.540)	Prec@5 77.500 (78.038)
Epoch: [44][7160/9018]	Time 0.611 (0.615)	Data 0.002 (0.001)	Loss 1.9059 (2.0366)	Prec@1 49.000 (47.539)	Prec@5 81.500 (78.036)
Epoch: [44][7170/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2190 (2.0367)	Prec@1 39.000 (47.537)	Prec@5 73.000 (78.034)
Epoch: [44][7180/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9003 (2.0367)	Prec@1 49.000 (47.536)	Prec@5 83.000 (78.034)
Epoch: [44][7190/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0588 (2.0368)	Prec@1 48.000 (47.535)	Prec@5 80.500 (78.034)
Epoch: [44][7200/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9350 (2.0368)	Prec@1 50.500 (47.535)	Prec@5 76.000 (78.035)
Epoch: [44][7210/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3975 (2.0368)	Prec@1 41.000 (47.534)	Prec@5 71.500 (78.034)
Epoch: [44][7220/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9476 (2.0369)	Prec@1 49.500 (47.531)	Prec@5 81.000 (78.033)
Epoch: [44][7230/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0551 (2.0369)	Prec@1 49.000 (47.531)	Prec@5 78.000 (78.034)
Epoch: [44][7240/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0873 (2.0369)	Prec@1 43.500 (47.531)	Prec@5 78.000 (78.035)
Epoch: [44][7250/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2900 (2.0369)	Prec@1 41.500 (47.532)	Prec@5 72.000 (78.035)
Epoch: [44][7260/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0982 (2.0369)	Prec@1 47.000 (47.532)	Prec@5 76.500 (78.036)
Epoch: [44][7270/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9845 (2.0369)	Prec@1 47.000 (47.532)	Prec@5 76.500 (78.035)
Epoch: [44][7280/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 1.9837 (2.0370)	Prec@1 51.500 (47.531)	Prec@5 77.000 (78.033)
Epoch: [44][7290/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.1923 (2.0370)	Prec@1 46.000 (47.531)	Prec@5 78.000 (78.035)
Epoch: [44][7300/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1055 (2.0369)	Prec@1 48.000 (47.533)	Prec@5 75.500 (78.038)
Epoch: [44][7310/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9851 (2.0369)	Prec@1 48.000 (47.533)	Prec@5 79.500 (78.037)
Epoch: [44][7320/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.8963 (2.0369)	Prec@1 47.500 (47.534)	Prec@5 78.000 (78.036)
Epoch: [44][7330/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0386 (2.0369)	Prec@1 48.000 (47.532)	Prec@5 76.500 (78.035)
Epoch: [44][7340/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 1.8212 (2.0369)	Prec@1 50.500 (47.531)	Prec@5 81.500 (78.034)
Epoch: [44][7350/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.1941 (2.0369)	Prec@1 45.000 (47.530)	Prec@5 75.000 (78.033)
Epoch: [44][7360/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2670 (2.0370)	Prec@1 47.500 (47.530)	Prec@5 74.000 (78.030)
Epoch: [44][7370/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.9346 (2.0370)	Prec@1 47.500 (47.531)	Prec@5 80.500 (78.030)
Epoch: [44][7380/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1505 (2.0371)	Prec@1 42.000 (47.531)	Prec@5 73.500 (78.029)
Epoch: [44][7390/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8002 (2.0370)	Prec@1 53.500 (47.531)	Prec@5 82.500 (78.030)
Epoch: [44][7400/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1303 (2.0371)	Prec@1 45.000 (47.529)	Prec@5 75.500 (78.029)
Epoch: [44][7410/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.9868 (2.0371)	Prec@1 50.000 (47.530)	Prec@5 77.500 (78.029)
Epoch: [44][7420/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9472 (2.0371)	Prec@1 49.500 (47.531)	Prec@5 78.000 (78.029)
Epoch: [44][7430/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2332 (2.0372)	Prec@1 47.000 (47.531)	Prec@5 73.000 (78.025)
Epoch: [44][7440/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0106 (2.0372)	Prec@1 49.500 (47.531)	Prec@5 76.500 (78.024)
Epoch: [44][7450/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0003 (2.0373)	Prec@1 49.500 (47.528)	Prec@5 78.500 (78.021)
Epoch: [44][7460/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1347 (2.0373)	Prec@1 50.000 (47.527)	Prec@5 74.000 (78.022)
Epoch: [44][7470/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0844 (2.0373)	Prec@1 43.000 (47.529)	Prec@5 78.000 (78.020)
Epoch: [44][7480/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0979 (2.0374)	Prec@1 48.500 (47.527)	Prec@5 75.000 (78.018)
Epoch: [44][7490/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9281 (2.0374)	Prec@1 48.000 (47.528)	Prec@5 81.500 (78.019)
Epoch: [44][7500/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9245 (2.0374)	Prec@1 47.500 (47.528)	Prec@5 78.500 (78.018)
Epoch: [44][7510/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9768 (2.0374)	Prec@1 48.000 (47.527)	Prec@5 76.000 (78.017)
Epoch: [44][7520/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0125 (2.0374)	Prec@1 47.500 (47.528)	Prec@5 79.500 (78.017)
Epoch: [44][7530/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1203 (2.0374)	Prec@1 40.500 (47.526)	Prec@5 77.500 (78.016)
Epoch: [44][7540/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0765 (2.0375)	Prec@1 46.000 (47.524)	Prec@5 82.500 (78.015)
Epoch: [44][7550/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1562 (2.0375)	Prec@1 47.500 (47.524)	Prec@5 78.500 (78.015)
Epoch: [44][7560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0107 (2.0376)	Prec@1 51.000 (47.523)	Prec@5 75.500 (78.012)
Epoch: [44][7570/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.7939 (2.0376)	Prec@1 48.500 (47.522)	Prec@5 84.500 (78.014)
Epoch: [44][7580/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.9827 (2.0377)	Prec@1 49.500 (47.520)	Prec@5 79.000 (78.012)
Epoch: [44][7590/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.3694 (2.0377)	Prec@1 44.000 (47.520)	Prec@5 74.000 (78.011)
Epoch: [44][7600/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0977 (2.0377)	Prec@1 46.000 (47.522)	Prec@5 77.000 (78.011)
Epoch: [44][7610/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3037 (2.0377)	Prec@1 41.000 (47.519)	Prec@5 73.500 (78.010)
Epoch: [44][7620/9018]	Time 0.713 (0.615)	Data 0.001 (0.001)	Loss 1.8857 (2.0377)	Prec@1 48.500 (47.518)	Prec@5 80.500 (78.010)
Epoch: [44][7630/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.8884 (2.0378)	Prec@1 52.000 (47.517)	Prec@5 80.500 (78.008)
Epoch: [44][7640/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0240 (2.0378)	Prec@1 47.500 (47.516)	Prec@5 79.500 (78.008)
Epoch: [44][7650/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2843 (2.0379)	Prec@1 41.500 (47.515)	Prec@5 78.000 (78.006)
Epoch: [44][7660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0481 (2.0379)	Prec@1 48.000 (47.516)	Prec@5 78.500 (78.005)
Epoch: [44][7670/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 2.2792 (2.0380)	Prec@1 43.500 (47.514)	Prec@5 75.500 (78.005)
Epoch: [44][7680/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0094 (2.0380)	Prec@1 47.000 (47.512)	Prec@5 78.500 (78.003)
Epoch: [44][7690/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9899 (2.0380)	Prec@1 46.500 (47.513)	Prec@5 77.500 (78.003)
Epoch: [44][7700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0334 (2.0380)	Prec@1 46.000 (47.513)	Prec@5 78.000 (78.003)
Epoch: [44][7710/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9060 (2.0379)	Prec@1 51.500 (47.513)	Prec@5 78.500 (78.003)
Epoch: [44][7720/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2431 (2.0380)	Prec@1 45.000 (47.511)	Prec@5 71.000 (78.001)
Epoch: [44][7730/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.1940 (2.0381)	Prec@1 40.000 (47.508)	Prec@5 79.000 (78.000)
Epoch: [44][7740/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 1.9134 (2.0382)	Prec@1 51.000 (47.508)	Prec@5 81.000 (77.999)
Epoch: [44][7750/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0248 (2.0382)	Prec@1 48.500 (47.509)	Prec@5 79.000 (78.000)
Epoch: [44][7760/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0021 (2.0382)	Prec@1 49.500 (47.508)	Prec@5 78.000 (77.999)
Epoch: [44][7770/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.1522 (2.0384)	Prec@1 47.000 (47.505)	Prec@5 76.500 (77.997)
Epoch: [44][7780/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.9280 (2.0383)	Prec@1 48.500 (47.507)	Prec@5 76.500 (77.996)
Epoch: [44][7790/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0773 (2.0383)	Prec@1 47.500 (47.508)	Prec@5 78.500 (77.995)
Epoch: [44][7800/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0694 (2.0384)	Prec@1 46.000 (47.506)	Prec@5 78.500 (77.993)
Epoch: [44][7810/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0064 (2.0384)	Prec@1 54.500 (47.506)	Prec@5 82.000 (77.995)
Epoch: [44][7820/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.0320 (2.0384)	Prec@1 48.000 (47.506)	Prec@5 79.500 (77.995)
Epoch: [44][7830/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0982 (2.0385)	Prec@1 47.500 (47.505)	Prec@5 77.500 (77.994)
Epoch: [44][7840/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2078 (2.0385)	Prec@1 44.000 (47.506)	Prec@5 74.000 (77.995)
Epoch: [44][7850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9317 (2.0385)	Prec@1 47.000 (47.506)	Prec@5 80.000 (77.994)
Epoch: [44][7860/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0244 (2.0385)	Prec@1 47.500 (47.505)	Prec@5 77.500 (77.993)
Epoch: [44][7870/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0863 (2.0385)	Prec@1 47.000 (47.504)	Prec@5 76.500 (77.992)
Epoch: [44][7880/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8015 (2.0385)	Prec@1 52.000 (47.504)	Prec@5 84.500 (77.992)
Epoch: [44][7890/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0074 (2.0385)	Prec@1 47.500 (47.503)	Prec@5 79.500 (77.993)
Epoch: [44][7900/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.8783 (2.0385)	Prec@1 47.500 (47.503)	Prec@5 82.000 (77.992)
Epoch: [44][7910/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9590 (2.0385)	Prec@1 47.500 (47.503)	Prec@5 80.000 (77.992)
Epoch: [44][7920/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1122 (2.0386)	Prec@1 47.000 (47.499)	Prec@5 73.000 (77.989)
Epoch: [44][7930/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0372 (2.0386)	Prec@1 46.000 (47.501)	Prec@5 81.000 (77.992)
Epoch: [44][7940/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.7866 (2.0386)	Prec@1 52.500 (47.501)	Prec@5 81.500 (77.990)
Epoch: [44][7950/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.0666 (2.0386)	Prec@1 51.500 (47.503)	Prec@5 78.500 (77.991)
Epoch: [44][7960/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0306 (2.0386)	Prec@1 50.500 (47.502)	Prec@5 76.500 (77.990)
Epoch: [44][7970/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8769 (2.0385)	Prec@1 48.000 (47.505)	Prec@5 81.500 (77.991)
Epoch: [44][7980/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.1658 (2.0386)	Prec@1 44.000 (47.504)	Prec@5 74.000 (77.989)
Epoch: [44][7990/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8262 (2.0386)	Prec@1 51.000 (47.505)	Prec@5 78.500 (77.989)
Epoch: [44][8000/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.1158 (2.0386)	Prec@1 43.500 (47.503)	Prec@5 81.500 (77.991)
Epoch: [44][8010/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.9823 (2.0386)	Prec@1 52.000 (47.505)	Prec@5 80.000 (77.990)
Epoch: [44][8020/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.2060 (2.0386)	Prec@1 44.000 (47.503)	Prec@5 74.000 (77.989)
Epoch: [44][8030/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9769 (2.0387)	Prec@1 48.500 (47.501)	Prec@5 78.000 (77.988)
Epoch: [44][8040/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9152 (2.0387)	Prec@1 52.500 (47.501)	Prec@5 82.000 (77.990)
Epoch: [44][8050/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1793 (2.0387)	Prec@1 40.500 (47.498)	Prec@5 79.000 (77.991)
Epoch: [44][8060/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9287 (2.0387)	Prec@1 50.000 (47.500)	Prec@5 78.500 (77.990)
Epoch: [44][8070/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1297 (2.0388)	Prec@1 48.000 (47.500)	Prec@5 76.000 (77.990)
Epoch: [44][8080/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1109 (2.0387)	Prec@1 45.500 (47.501)	Prec@5 77.500 (77.991)
Epoch: [44][8090/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0208 (2.0388)	Prec@1 52.500 (47.502)	Prec@5 79.000 (77.990)
Epoch: [44][8100/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1504 (2.0388)	Prec@1 42.500 (47.500)	Prec@5 77.000 (77.990)
Epoch: [44][8110/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9898 (2.0388)	Prec@1 52.500 (47.501)	Prec@5 77.000 (77.990)
Epoch: [44][8120/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8977 (2.0387)	Prec@1 47.000 (47.502)	Prec@5 78.500 (77.990)
Epoch: [44][8130/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.9957 (2.0387)	Prec@1 46.500 (47.501)	Prec@5 80.500 (77.990)
Epoch: [44][8140/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1365 (2.0388)	Prec@1 47.500 (47.501)	Prec@5 78.000 (77.987)
Epoch: [44][8150/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9446 (2.0388)	Prec@1 46.500 (47.502)	Prec@5 80.000 (77.988)
Epoch: [44][8160/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.9852 (2.0388)	Prec@1 46.500 (47.502)	Prec@5 77.500 (77.987)
Epoch: [44][8170/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1965 (2.0388)	Prec@1 40.500 (47.502)	Prec@5 74.000 (77.987)
Epoch: [44][8180/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1812 (2.0388)	Prec@1 39.000 (47.499)	Prec@5 74.000 (77.987)
Epoch: [44][8190/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0151 (2.0388)	Prec@1 53.000 (47.501)	Prec@5 79.000 (77.988)
Epoch: [44][8200/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.1425 (2.0389)	Prec@1 45.000 (47.499)	Prec@5 76.000 (77.986)
Epoch: [44][8210/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3542 (2.0389)	Prec@1 43.500 (47.497)	Prec@5 70.500 (77.986)
Epoch: [44][8220/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2269 (2.0390)	Prec@1 42.500 (47.495)	Prec@5 72.500 (77.984)
Epoch: [44][8230/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 1.8195 (2.0389)	Prec@1 51.500 (47.495)	Prec@5 81.500 (77.986)
Epoch: [44][8240/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1920 (2.0389)	Prec@1 46.000 (47.496)	Prec@5 77.000 (77.985)
Epoch: [44][8250/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9719 (2.0389)	Prec@1 46.500 (47.497)	Prec@5 80.000 (77.986)
Epoch: [44][8260/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1427 (2.0390)	Prec@1 48.500 (47.497)	Prec@5 75.500 (77.984)
Epoch: [44][8270/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9474 (2.0390)	Prec@1 49.500 (47.498)	Prec@5 81.500 (77.986)
Epoch: [44][8280/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 1.9386 (2.0390)	Prec@1 49.500 (47.495)	Prec@5 77.500 (77.984)
Epoch: [44][8290/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.2439 (2.0390)	Prec@1 43.500 (47.496)	Prec@5 73.500 (77.984)
Epoch: [44][8300/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0672 (2.0390)	Prec@1 45.000 (47.497)	Prec@5 77.500 (77.986)
Epoch: [44][8310/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.0568 (2.0390)	Prec@1 43.500 (47.495)	Prec@5 77.000 (77.987)
Epoch: [44][8320/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9384 (2.0390)	Prec@1 50.000 (47.495)	Prec@5 79.500 (77.987)
Epoch: [44][8330/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 1.8996 (2.0390)	Prec@1 46.500 (47.494)	Prec@5 82.000 (77.988)
Epoch: [44][8340/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.9264 (2.0390)	Prec@1 48.000 (47.494)	Prec@5 80.500 (77.988)
Epoch: [44][8350/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9027 (2.0390)	Prec@1 52.500 (47.494)	Prec@5 80.500 (77.988)
Epoch: [44][8360/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1425 (2.0390)	Prec@1 46.500 (47.492)	Prec@5 74.500 (77.986)
Epoch: [44][8370/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2707 (2.0391)	Prec@1 45.000 (47.490)	Prec@5 74.000 (77.985)
Epoch: [44][8380/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.0606 (2.0392)	Prec@1 47.500 (47.489)	Prec@5 79.500 (77.984)
Epoch: [44][8390/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0978 (2.0392)	Prec@1 45.000 (47.488)	Prec@5 77.500 (77.985)
Epoch: [44][8400/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1386 (2.0392)	Prec@1 46.000 (47.487)	Prec@5 76.000 (77.984)
Epoch: [44][8410/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2095 (2.0393)	Prec@1 46.500 (47.485)	Prec@5 77.000 (77.984)
Epoch: [44][8420/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3148 (2.0393)	Prec@1 42.500 (47.486)	Prec@5 74.500 (77.984)
Epoch: [44][8430/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0134 (2.0393)	Prec@1 46.500 (47.486)	Prec@5 79.000 (77.984)
Epoch: [44][8440/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.9764 (2.0393)	Prec@1 50.000 (47.487)	Prec@5 78.500 (77.983)
Epoch: [44][8450/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.9197 (2.0393)	Prec@1 51.000 (47.487)	Prec@5 79.500 (77.983)
Epoch: [44][8460/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0880 (2.0393)	Prec@1 46.500 (47.485)	Prec@5 78.000 (77.984)
Epoch: [44][8470/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1962 (2.0394)	Prec@1 50.000 (47.484)	Prec@5 78.000 (77.982)
Epoch: [44][8480/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8314 (2.0394)	Prec@1 54.500 (47.485)	Prec@5 82.500 (77.983)
Epoch: [44][8490/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.4092 (2.0395)	Prec@1 40.000 (47.482)	Prec@5 72.000 (77.981)
Epoch: [44][8500/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0512 (2.0395)	Prec@1 45.000 (47.482)	Prec@5 79.500 (77.981)
Epoch: [44][8510/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.1705 (2.0395)	Prec@1 47.500 (47.482)	Prec@5 77.500 (77.980)
Epoch: [44][8520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0998 (2.0396)	Prec@1 47.500 (47.481)	Prec@5 79.500 (77.980)
Epoch: [44][8530/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0314 (2.0397)	Prec@1 47.500 (47.478)	Prec@5 77.500 (77.979)
Epoch: [44][8540/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.0195 (2.0397)	Prec@1 49.500 (47.479)	Prec@5 77.500 (77.979)
Epoch: [44][8550/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0597 (2.0397)	Prec@1 47.500 (47.478)	Prec@5 76.000 (77.978)
Epoch: [44][8560/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.1943 (2.0397)	Prec@1 44.000 (47.480)	Prec@5 74.500 (77.978)
Epoch: [44][8570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2127 (2.0396)	Prec@1 40.500 (47.480)	Prec@5 75.500 (77.978)
Epoch: [44][8580/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0284 (2.0396)	Prec@1 45.000 (47.480)	Prec@5 78.500 (77.981)
Epoch: [44][8590/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1907 (2.0397)	Prec@1 45.500 (47.478)	Prec@5 76.000 (77.979)
Epoch: [44][8600/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0252 (2.0396)	Prec@1 47.000 (47.479)	Prec@5 79.000 (77.979)
Epoch: [44][8610/9018]	Time 0.758 (0.615)	Data 0.001 (0.001)	Loss 2.1888 (2.0396)	Prec@1 44.500 (47.478)	Prec@5 74.000 (77.978)
Epoch: [44][8620/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.8413 (2.0396)	Prec@1 53.500 (47.479)	Prec@5 80.000 (77.980)
Epoch: [44][8630/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1730 (2.0397)	Prec@1 45.000 (47.477)	Prec@5 75.000 (77.978)
Epoch: [44][8640/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.1224 (2.0397)	Prec@1 46.000 (47.478)	Prec@5 75.500 (77.977)
Epoch: [44][8650/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1216 (2.0396)	Prec@1 44.000 (47.481)	Prec@5 76.000 (77.977)
Epoch: [44][8660/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.0465 (2.0396)	Prec@1 48.000 (47.482)	Prec@5 78.500 (77.978)
Epoch: [44][8670/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0145 (2.0396)	Prec@1 50.500 (47.481)	Prec@5 79.500 (77.977)
Epoch: [44][8680/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9129 (2.0396)	Prec@1 53.500 (47.481)	Prec@5 81.500 (77.978)
Epoch: [44][8690/9018]	Time 0.645 (0.615)	Data 0.001 (0.001)	Loss 2.0071 (2.0396)	Prec@1 48.500 (47.480)	Prec@5 78.500 (77.976)
Epoch: [44][8700/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.3608 (2.0397)	Prec@1 41.500 (47.478)	Prec@5 69.500 (77.973)
Epoch: [44][8710/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0177 (2.0397)	Prec@1 51.000 (47.479)	Prec@5 78.000 (77.973)
Epoch: [44][8720/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9588 (2.0396)	Prec@1 50.500 (47.480)	Prec@5 77.000 (77.974)
Epoch: [44][8730/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1428 (2.0397)	Prec@1 44.000 (47.479)	Prec@5 75.500 (77.973)
Epoch: [44][8740/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.2855 (2.0397)	Prec@1 43.000 (47.478)	Prec@5 75.500 (77.973)
Epoch: [44][8750/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0870 (2.0397)	Prec@1 47.500 (47.478)	Prec@5 81.500 (77.973)
Epoch: [44][8760/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0358 (2.0397)	Prec@1 44.500 (47.479)	Prec@5 80.500 (77.974)
Epoch: [44][8770/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6213 (2.0397)	Prec@1 54.000 (47.478)	Prec@5 87.500 (77.974)
Epoch: [44][8780/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1255 (2.0397)	Prec@1 46.000 (47.477)	Prec@5 78.000 (77.974)
Epoch: [44][8790/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0719 (2.0398)	Prec@1 47.000 (47.477)	Prec@5 75.500 (77.973)
Epoch: [44][8800/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0405 (2.0397)	Prec@1 47.500 (47.477)	Prec@5 79.500 (77.974)
Epoch: [44][8810/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9592 (2.0397)	Prec@1 48.500 (47.477)	Prec@5 79.500 (77.973)
Epoch: [44][8820/9018]	Time 0.652 (0.615)	Data 0.001 (0.001)	Loss 2.1345 (2.0398)	Prec@1 44.500 (47.477)	Prec@5 73.000 (77.973)
Epoch: [44][8830/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0311 (2.0398)	Prec@1 43.500 (47.476)	Prec@5 79.500 (77.973)
Epoch: [44][8840/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1526 (2.0397)	Prec@1 45.000 (47.476)	Prec@5 73.000 (77.974)
Epoch: [44][8850/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.8268 (2.0397)	Prec@1 52.500 (47.478)	Prec@5 82.000 (77.974)
Epoch: [44][8860/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0818 (2.0397)	Prec@1 46.000 (47.476)	Prec@5 75.000 (77.975)
Epoch: [44][8870/9018]	Time 0.643 (0.615)	Data 0.001 (0.001)	Loss 1.9447 (2.0397)	Prec@1 53.000 (47.476)	Prec@5 81.500 (77.975)
Epoch: [44][8880/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1102 (2.0398)	Prec@1 43.000 (47.476)	Prec@5 78.000 (77.974)
Epoch: [44][8890/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.8543 (2.0397)	Prec@1 50.500 (47.476)	Prec@5 80.500 (77.975)
Epoch: [44][8900/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0124 (2.0398)	Prec@1 48.000 (47.475)	Prec@5 77.500 (77.972)
Epoch: [44][8910/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.9590 (2.0398)	Prec@1 50.500 (47.473)	Prec@5 77.000 (77.972)
Epoch: [44][8920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8801 (2.0398)	Prec@1 53.500 (47.476)	Prec@5 75.500 (77.972)
Epoch: [44][8930/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 1.6835 (2.0398)	Prec@1 56.000 (47.477)	Prec@5 84.500 (77.971)
Epoch: [44][8940/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 1.8846 (2.0397)	Prec@1 49.500 (47.478)	Prec@5 81.000 (77.972)
Epoch: [44][8950/9018]	Time 0.643 (0.615)	Data 0.001 (0.001)	Loss 1.7986 (2.0396)	Prec@1 54.000 (47.480)	Prec@5 83.500 (77.975)
Epoch: [44][8960/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.9207 (2.0396)	Prec@1 52.000 (47.482)	Prec@5 78.500 (77.975)
Epoch: [44][8970/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.0208 (2.0397)	Prec@1 46.000 (47.480)	Prec@5 78.000 (77.974)
Epoch: [44][8980/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1313 (2.0397)	Prec@1 44.500 (47.479)	Prec@5 78.000 (77.973)
Epoch: [44][8990/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.0537 (2.0398)	Prec@1 47.000 (47.478)	Prec@5 80.000 (77.973)
Epoch: [44][9000/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0363 (2.0397)	Prec@1 42.000 (47.478)	Prec@5 80.000 (77.973)
Epoch: [44][9010/9018]	Time 0.594 (0.615)	Data 0.000 (0.001)	Loss 2.1882 (2.0398)	Prec@1 42.000 (47.477)	Prec@5 77.000 (77.972)
Test: [0/183]	Time 1.352 (1.352)	Loss 2.5805 (2.5805)	Prec@1 33.000 (33.000)	Prec@5 66.500 (66.500)
Test: [10/183]	Time 0.190 (0.312)	Loss 2.0038 (1.7765)	Prec@1 52.500 (52.682)	Prec@5 78.500 (83.045)
Test: [20/183]	Time 0.186 (0.255)	Loss 1.8298 (1.7539)	Prec@1 53.000 (53.405)	Prec@5 81.000 (82.762)
Test: [30/183]	Time 0.187 (0.235)	Loss 2.1818 (1.7595)	Prec@1 36.500 (52.161)	Prec@5 78.500 (83.484)
Test: [40/183]	Time 0.186 (0.226)	Loss 2.6232 (1.7527)	Prec@1 28.000 (53.024)	Prec@5 71.000 (83.037)
Test: [50/183]	Time 0.204 (0.220)	Loss 1.3251 (1.7154)	Prec@1 65.500 (54.176)	Prec@5 89.000 (83.539)
Test: [60/183]	Time 0.200 (0.217)	Loss 2.1646 (1.7877)	Prec@1 48.000 (51.992)	Prec@5 75.000 (82.549)
Test: [70/183]	Time 0.199 (0.213)	Loss 1.8595 (1.7690)	Prec@1 51.000 (52.303)	Prec@5 84.500 (83.106)
Test: [80/183]	Time 0.202 (0.211)	Loss 1.8262 (1.7658)	Prec@1 44.500 (52.117)	Prec@5 87.500 (83.179)
Test: [90/183]	Time 0.190 (0.210)	Loss 2.4915 (1.7649)	Prec@1 31.500 (52.049)	Prec@5 72.500 (83.209)
Test: [100/183]	Time 0.182 (0.207)	Loss 0.8173 (1.7582)	Prec@1 74.500 (52.208)	Prec@5 95.000 (83.337)
Test: [110/183]	Time 0.188 (0.206)	Loss 0.9104 (1.7614)	Prec@1 73.000 (52.185)	Prec@5 97.500 (83.257)
Test: [120/183]	Time 0.188 (0.205)	Loss 2.1906 (1.7733)	Prec@1 45.000 (51.806)	Prec@5 70.500 (83.083)
Test: [130/183]	Time 0.184 (0.204)	Loss 3.1183 (1.7893)	Prec@1 15.500 (51.454)	Prec@5 64.000 (82.977)
Test: [140/183]	Time 0.203 (0.204)	Loss 1.6506 (1.7765)	Prec@1 58.000 (51.862)	Prec@5 83.500 (83.234)
Test: [150/183]	Time 0.200 (0.203)	Loss 0.8087 (1.7745)	Prec@1 80.500 (51.987)	Prec@5 98.000 (83.265)
Test: [160/183]	Time 0.186 (0.203)	Loss 1.5452 (1.7750)	Prec@1 56.500 (52.130)	Prec@5 87.500 (83.292)
Test: [170/183]	Time 0.192 (0.202)	Loss 1.9527 (1.7907)	Prec@1 39.500 (51.751)	Prec@5 84.000 (83.026)
Test: [180/183]	Time 0.179 (0.202)	Loss 2.2345 (1.7991)	Prec@1 42.500 (51.655)	Prec@5 79.000 (82.848)
 * Prec@1 51.595 Prec@5 82.825
Epoch: [45][0/9018]	Time 2.743 (2.743)	Data 2.115 (2.115)	Loss 1.9784 (1.9784)	Prec@1 52.500 (52.500)	Prec@5 76.000 (76.000)
Epoch: [45][10/9018]	Time 0.591 (0.811)	Data 0.001 (0.193)	Loss 1.9905 (2.0398)	Prec@1 47.500 (47.500)	Prec@5 78.000 (77.955)
Epoch: [45][20/9018]	Time 0.726 (0.714)	Data 0.001 (0.101)	Loss 1.8457 (2.0721)	Prec@1 53.000 (46.500)	Prec@5 80.000 (77.357)
Epoch: [45][30/9018]	Time 0.597 (0.676)	Data 0.001 (0.069)	Loss 1.9515 (2.0588)	Prec@1 47.500 (46.758)	Prec@5 76.500 (77.435)
Epoch: [45][40/9018]	Time 0.597 (0.660)	Data 0.001 (0.052)	Loss 2.2284 (2.0557)	Prec@1 41.500 (46.549)	Prec@5 76.000 (77.610)
Epoch: [45][50/9018]	Time 0.632 (0.651)	Data 0.001 (0.042)	Loss 1.9745 (2.0359)	Prec@1 47.500 (47.157)	Prec@5 80.500 (78.049)
Epoch: [45][60/9018]	Time 0.602 (0.645)	Data 0.001 (0.035)	Loss 2.1662 (2.0400)	Prec@1 44.000 (47.270)	Prec@5 77.000 (77.828)
Epoch: [45][70/9018]	Time 0.750 (0.642)	Data 0.001 (0.031)	Loss 1.8819 (2.0382)	Prec@1 49.000 (47.225)	Prec@5 83.000 (77.986)
Epoch: [45][80/9018]	Time 0.613 (0.637)	Data 0.001 (0.027)	Loss 2.0459 (2.0302)	Prec@1 46.500 (47.432)	Prec@5 79.000 (78.031)
Epoch: [45][90/9018]	Time 0.596 (0.636)	Data 0.001 (0.024)	Loss 2.0628 (2.0312)	Prec@1 52.000 (47.489)	Prec@5 81.000 (78.077)
Epoch: [45][100/9018]	Time 0.619 (0.633)	Data 0.001 (0.022)	Loss 1.9336 (2.0250)	Prec@1 52.500 (47.752)	Prec@5 79.000 (78.168)
Epoch: [45][110/9018]	Time 0.621 (0.631)	Data 0.001 (0.020)	Loss 2.1186 (2.0276)	Prec@1 41.000 (47.613)	Prec@5 78.500 (78.153)
Epoch: [45][120/9018]	Time 0.600 (0.631)	Data 0.001 (0.018)	Loss 1.9108 (2.0266)	Prec@1 47.500 (47.628)	Prec@5 81.000 (78.136)
Epoch: [45][130/9018]	Time 0.646 (0.629)	Data 0.001 (0.017)	Loss 2.1198 (2.0221)	Prec@1 49.000 (47.817)	Prec@5 76.500 (78.187)
Epoch: [45][140/9018]	Time 0.602 (0.628)	Data 0.001 (0.016)	Loss 1.9602 (2.0183)	Prec@1 48.000 (47.894)	Prec@5 79.000 (78.213)
Epoch: [45][150/9018]	Time 0.623 (0.627)	Data 0.001 (0.015)	Loss 2.0011 (2.0193)	Prec@1 49.000 (47.831)	Prec@5 77.000 (78.159)
Epoch: [45][160/9018]	Time 0.592 (0.626)	Data 0.001 (0.014)	Loss 2.0546 (2.0161)	Prec@1 47.500 (47.953)	Prec@5 77.000 (78.193)
Epoch: [45][170/9018]	Time 0.607 (0.626)	Data 0.001 (0.013)	Loss 2.0997 (2.0181)	Prec@1 45.000 (47.801)	Prec@5 78.500 (78.246)
Epoch: [45][180/9018]	Time 0.623 (0.625)	Data 0.001 (0.012)	Loss 2.0528 (2.0160)	Prec@1 49.500 (47.956)	Prec@5 82.000 (78.331)
Epoch: [45][190/9018]	Time 0.604 (0.624)	Data 0.001 (0.012)	Loss 2.0215 (2.0171)	Prec@1 45.500 (47.914)	Prec@5 80.500 (78.340)
Epoch: [45][200/9018]	Time 0.598 (0.623)	Data 0.001 (0.011)	Loss 1.7921 (2.0149)	Prec@1 55.000 (47.970)	Prec@5 80.000 (78.279)
Epoch: [45][210/9018]	Time 0.603 (0.623)	Data 0.001 (0.011)	Loss 1.9320 (2.0148)	Prec@1 51.500 (47.983)	Prec@5 80.500 (78.284)
Epoch: [45][220/9018]	Time 0.597 (0.623)	Data 0.001 (0.010)	Loss 1.8601 (2.0154)	Prec@1 49.500 (47.982)	Prec@5 80.000 (78.294)
Epoch: [45][230/9018]	Time 0.606 (0.622)	Data 0.001 (0.010)	Loss 1.8294 (2.0122)	Prec@1 52.500 (48.050)	Prec@5 81.500 (78.370)
Epoch: [45][240/9018]	Time 0.605 (0.622)	Data 0.001 (0.010)	Loss 2.2230 (2.0161)	Prec@1 43.000 (47.983)	Prec@5 75.000 (78.253)
Epoch: [45][250/9018]	Time 0.631 (0.622)	Data 0.001 (0.009)	Loss 1.9432 (2.0161)	Prec@1 48.500 (47.998)	Prec@5 78.500 (78.243)
Epoch: [45][260/9018]	Time 0.600 (0.621)	Data 0.001 (0.009)	Loss 2.1746 (2.0189)	Prec@1 42.500 (47.931)	Prec@5 74.500 (78.211)
Epoch: [45][270/9018]	Time 0.600 (0.622)	Data 0.001 (0.009)	Loss 2.0382 (2.0189)	Prec@1 53.000 (47.941)	Prec@5 76.000 (78.197)
Epoch: [45][280/9018]	Time 0.607 (0.621)	Data 0.001 (0.008)	Loss 2.1471 (2.0189)	Prec@1 43.500 (47.977)	Prec@5 73.000 (78.194)
Epoch: [45][290/9018]	Time 0.600 (0.621)	Data 0.001 (0.008)	Loss 1.9693 (2.0193)	Prec@1 49.000 (47.931)	Prec@5 79.500 (78.210)
Epoch: [45][300/9018]	Time 0.601 (0.620)	Data 0.001 (0.008)	Loss 1.8233 (2.0180)	Prec@1 51.000 (47.920)	Prec@5 83.500 (78.261)
Epoch: [45][310/9018]	Time 0.637 (0.620)	Data 0.001 (0.008)	Loss 2.0124 (2.0176)	Prec@1 50.000 (47.944)	Prec@5 77.000 (78.267)
Epoch: [45][320/9018]	Time 0.602 (0.620)	Data 0.001 (0.007)	Loss 1.8962 (2.0162)	Prec@1 52.000 (47.984)	Prec@5 77.500 (78.302)
Epoch: [45][330/9018]	Time 0.625 (0.620)	Data 0.001 (0.007)	Loss 2.0008 (2.0169)	Prec@1 47.000 (47.953)	Prec@5 77.500 (78.285)
Epoch: [45][340/9018]	Time 0.597 (0.620)	Data 0.001 (0.007)	Loss 2.1320 (2.0179)	Prec@1 43.000 (47.905)	Prec@5 76.000 (78.305)
Epoch: [45][350/9018]	Time 0.752 (0.620)	Data 0.001 (0.007)	Loss 2.0176 (2.0160)	Prec@1 47.500 (47.966)	Prec@5 77.500 (78.349)
Epoch: [45][360/9018]	Time 0.597 (0.620)	Data 0.001 (0.007)	Loss 2.0179 (2.0175)	Prec@1 48.500 (47.942)	Prec@5 78.500 (78.309)
Epoch: [45][370/9018]	Time 0.621 (0.620)	Data 0.001 (0.006)	Loss 1.7443 (2.0163)	Prec@1 53.000 (47.934)	Prec@5 84.500 (78.357)
Epoch: [45][380/9018]	Time 0.591 (0.619)	Data 0.001 (0.006)	Loss 1.7420 (2.0146)	Prec@1 56.500 (48.008)	Prec@5 84.500 (78.409)
Epoch: [45][390/9018]	Time 0.591 (0.619)	Data 0.001 (0.006)	Loss 2.2335 (2.0160)	Prec@1 48.500 (47.927)	Prec@5 70.000 (78.382)
Epoch: [45][400/9018]	Time 0.728 (0.619)	Data 0.001 (0.006)	Loss 1.9891 (2.0155)	Prec@1 52.000 (47.925)	Prec@5 79.000 (78.403)
Epoch: [45][410/9018]	Time 0.627 (0.619)	Data 0.001 (0.006)	Loss 1.8626 (2.0147)	Prec@1 49.500 (47.942)	Prec@5 82.500 (78.433)
Epoch: [45][420/9018]	Time 0.594 (0.619)	Data 0.001 (0.006)	Loss 1.9098 (2.0140)	Prec@1 49.500 (47.973)	Prec@5 83.500 (78.454)
Epoch: [45][430/9018]	Time 0.621 (0.619)	Data 0.001 (0.006)	Loss 1.9826 (2.0119)	Prec@1 49.000 (48.008)	Prec@5 79.000 (78.507)
Epoch: [45][440/9018]	Time 0.593 (0.619)	Data 0.001 (0.006)	Loss 1.8747 (2.0116)	Prec@1 50.500 (47.993)	Prec@5 84.000 (78.505)
Epoch: [45][450/9018]	Time 0.604 (0.619)	Data 0.001 (0.005)	Loss 1.7198 (2.0103)	Prec@1 55.000 (48.006)	Prec@5 83.000 (78.511)
Epoch: [45][460/9018]	Time 0.623 (0.618)	Data 0.001 (0.005)	Loss 2.1030 (2.0103)	Prec@1 43.000 (47.958)	Prec@5 75.000 (78.502)
Epoch: [45][470/9018]	Time 0.601 (0.618)	Data 0.001 (0.005)	Loss 2.0335 (2.0122)	Prec@1 48.000 (47.889)	Prec@5 78.000 (78.454)
Epoch: [45][480/9018]	Time 0.602 (0.618)	Data 0.001 (0.005)	Loss 2.3007 (2.0139)	Prec@1 46.500 (47.865)	Prec@5 71.000 (78.425)
Epoch: [45][490/9018]	Time 0.593 (0.618)	Data 0.001 (0.005)	Loss 2.1231 (2.0140)	Prec@1 45.500 (47.855)	Prec@5 78.500 (78.433)
Epoch: [45][500/9018]	Time 0.597 (0.618)	Data 0.001 (0.005)	Loss 1.9914 (2.0143)	Prec@1 50.500 (47.850)	Prec@5 77.000 (78.418)
Epoch: [45][510/9018]	Time 0.628 (0.618)	Data 0.001 (0.005)	Loss 1.8830 (2.0141)	Prec@1 50.500 (47.873)	Prec@5 78.500 (78.424)
Epoch: [45][520/9018]	Time 0.601 (0.618)	Data 0.001 (0.005)	Loss 2.1276 (2.0139)	Prec@1 47.000 (47.868)	Prec@5 77.000 (78.402)
Epoch: [45][530/9018]	Time 0.636 (0.618)	Data 0.001 (0.005)	Loss 1.9664 (2.0127)	Prec@1 50.000 (47.905)	Prec@5 80.500 (78.426)
Epoch: [45][540/9018]	Time 0.594 (0.618)	Data 0.001 (0.005)	Loss 2.1510 (2.0136)	Prec@1 48.500 (47.896)	Prec@5 73.000 (78.412)
Epoch: [45][550/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 1.8206 (2.0137)	Prec@1 53.000 (47.896)	Prec@5 82.500 (78.409)
Epoch: [45][560/9018]	Time 0.605 (0.618)	Data 0.001 (0.005)	Loss 1.9203 (2.0148)	Prec@1 48.000 (47.865)	Prec@5 79.000 (78.375)
Epoch: [45][570/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 1.8335 (2.0150)	Prec@1 48.500 (47.873)	Prec@5 83.500 (78.372)
Epoch: [45][580/9018]	Time 0.611 (0.618)	Data 0.001 (0.004)	Loss 2.0240 (2.0158)	Prec@1 49.000 (47.862)	Prec@5 77.000 (78.363)
Epoch: [45][590/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 2.1233 (2.0172)	Prec@1 44.000 (47.849)	Prec@5 73.000 (78.340)
Epoch: [45][600/9018]	Time 0.624 (0.618)	Data 0.001 (0.004)	Loss 1.8571 (2.0160)	Prec@1 50.500 (47.855)	Prec@5 81.500 (78.374)
Epoch: [45][610/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 2.1112 (2.0166)	Prec@1 45.000 (47.842)	Prec@5 77.000 (78.376)
Epoch: [45][620/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 1.8201 (2.0179)	Prec@1 51.500 (47.822)	Prec@5 81.000 (78.345)
Epoch: [45][630/9018]	Time 0.614 (0.617)	Data 0.001 (0.004)	Loss 2.0395 (2.0171)	Prec@1 49.500 (47.831)	Prec@5 78.000 (78.365)
Epoch: [45][640/9018]	Time 0.592 (0.617)	Data 0.001 (0.004)	Loss 2.1850 (2.0172)	Prec@1 43.500 (47.826)	Prec@5 73.000 (78.357)
Epoch: [45][650/9018]	Time 0.624 (0.617)	Data 0.001 (0.004)	Loss 1.8206 (2.0166)	Prec@1 51.000 (47.832)	Prec@5 82.500 (78.359)
Epoch: [45][660/9018]	Time 0.593 (0.617)	Data 0.001 (0.004)	Loss 1.9711 (2.0175)	Prec@1 46.500 (47.825)	Prec@5 77.000 (78.336)
Epoch: [45][670/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 1.9525 (2.0175)	Prec@1 52.500 (47.820)	Prec@5 79.000 (78.354)
Epoch: [45][680/9018]	Time 0.746 (0.617)	Data 0.001 (0.004)	Loss 1.8938 (2.0170)	Prec@1 54.500 (47.835)	Prec@5 81.000 (78.372)
Epoch: [45][690/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.0363 (2.0176)	Prec@1 52.500 (47.800)	Prec@5 76.500 (78.355)
Epoch: [45][700/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 1.9748 (2.0173)	Prec@1 40.500 (47.775)	Prec@5 83.500 (78.368)
Epoch: [45][710/9018]	Time 0.619 (0.617)	Data 0.001 (0.004)	Loss 2.1092 (2.0177)	Prec@1 47.500 (47.778)	Prec@5 77.500 (78.364)
Epoch: [45][720/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 2.0797 (2.0179)	Prec@1 45.500 (47.805)	Prec@5 77.000 (78.344)
Epoch: [45][730/9018]	Time 0.749 (0.617)	Data 0.001 (0.004)	Loss 1.9594 (2.0177)	Prec@1 50.000 (47.810)	Prec@5 77.500 (78.339)
Epoch: [45][740/9018]	Time 0.614 (0.617)	Data 0.001 (0.004)	Loss 2.1574 (2.0179)	Prec@1 50.000 (47.821)	Prec@5 73.000 (78.331)
Epoch: [45][750/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 1.9024 (2.0172)	Prec@1 45.500 (47.830)	Prec@5 85.000 (78.352)
Epoch: [45][760/9018]	Time 0.605 (0.617)	Data 0.001 (0.004)	Loss 2.1083 (2.0176)	Prec@1 41.500 (47.801)	Prec@5 76.000 (78.339)
Epoch: [45][770/9018]	Time 0.622 (0.617)	Data 0.001 (0.004)	Loss 2.0105 (2.0182)	Prec@1 49.000 (47.794)	Prec@5 82.500 (78.344)
Epoch: [45][780/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 1.8426 (2.0172)	Prec@1 51.000 (47.809)	Prec@5 81.500 (78.354)
Epoch: [45][790/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 1.9996 (2.0168)	Prec@1 49.500 (47.828)	Prec@5 80.500 (78.367)
Epoch: [45][800/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 2.0512 (2.0169)	Prec@1 49.500 (47.830)	Prec@5 76.500 (78.373)
Epoch: [45][810/9018]	Time 0.633 (0.617)	Data 0.001 (0.003)	Loss 2.0379 (2.0162)	Prec@1 48.000 (47.856)	Prec@5 79.000 (78.388)
Epoch: [45][820/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 1.9483 (2.0161)	Prec@1 48.500 (47.866)	Prec@5 76.500 (78.390)
Epoch: [45][830/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 1.9142 (2.0159)	Prec@1 52.500 (47.877)	Prec@5 79.500 (78.398)
Epoch: [45][840/9018]	Time 0.631 (0.617)	Data 0.001 (0.003)	Loss 2.3217 (2.0164)	Prec@1 38.500 (47.857)	Prec@5 72.000 (78.379)
Epoch: [45][850/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.0763 (2.0167)	Prec@1 44.500 (47.847)	Prec@5 78.000 (78.376)
Epoch: [45][860/9018]	Time 0.612 (0.617)	Data 0.001 (0.003)	Loss 1.9491 (2.0169)	Prec@1 47.000 (47.838)	Prec@5 79.500 (78.372)
Epoch: [45][870/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 1.9498 (2.0164)	Prec@1 47.000 (47.846)	Prec@5 84.000 (78.376)
Epoch: [45][880/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.8421 (2.0164)	Prec@1 51.500 (47.846)	Prec@5 82.000 (78.379)
Epoch: [45][890/9018]	Time 0.622 (0.616)	Data 0.001 (0.003)	Loss 2.0630 (2.0163)	Prec@1 47.500 (47.854)	Prec@5 79.500 (78.380)
Epoch: [45][900/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.7859 (2.0152)	Prec@1 47.000 (47.876)	Prec@5 82.500 (78.393)
Epoch: [45][910/9018]	Time 0.633 (0.616)	Data 0.001 (0.003)	Loss 2.0150 (2.0149)	Prec@1 49.000 (47.891)	Prec@5 81.500 (78.393)
Epoch: [45][920/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 2.0890 (2.0146)	Prec@1 47.000 (47.913)	Prec@5 75.000 (78.396)
Epoch: [45][930/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.7972 (2.0144)	Prec@1 52.500 (47.913)	Prec@5 80.500 (78.405)
Epoch: [45][940/9018]	Time 0.629 (0.616)	Data 0.001 (0.003)	Loss 1.8112 (2.0149)	Prec@1 53.500 (47.899)	Prec@5 79.500 (78.391)
Epoch: [45][950/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.9971 (2.0145)	Prec@1 47.500 (47.906)	Prec@5 80.000 (78.393)
Epoch: [45][960/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 2.2326 (2.0149)	Prec@1 46.500 (47.906)	Prec@5 74.000 (78.389)
Epoch: [45][970/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 1.9451 (2.0152)	Prec@1 53.000 (47.908)	Prec@5 78.500 (78.386)
Epoch: [45][980/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.0182 (2.0151)	Prec@1 46.500 (47.922)	Prec@5 80.500 (78.391)
Epoch: [45][990/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 2.2880 (2.0149)	Prec@1 41.500 (47.923)	Prec@5 75.500 (78.399)
Epoch: [45][1000/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.0681 (2.0152)	Prec@1 48.000 (47.930)	Prec@5 75.500 (78.394)
Epoch: [45][1010/9018]	Time 0.725 (0.616)	Data 0.001 (0.003)	Loss 1.9725 (2.0150)	Prec@1 45.000 (47.939)	Prec@5 78.500 (78.393)
Epoch: [45][1020/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.8822 (2.0149)	Prec@1 47.000 (47.940)	Prec@5 82.500 (78.394)
Epoch: [45][1030/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 2.2489 (2.0147)	Prec@1 42.000 (47.940)	Prec@5 74.000 (78.400)
Epoch: [45][1040/9018]	Time 0.634 (0.616)	Data 0.001 (0.003)	Loss 2.1124 (2.0150)	Prec@1 47.500 (47.937)	Prec@5 76.500 (78.391)
Epoch: [45][1050/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.2317 (2.0157)	Prec@1 41.500 (47.928)	Prec@5 73.500 (78.377)
Epoch: [45][1060/9018]	Time 0.723 (0.616)	Data 0.001 (0.003)	Loss 2.0835 (2.0155)	Prec@1 43.500 (47.936)	Prec@5 79.000 (78.384)
Epoch: [45][1070/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.2518 (2.0164)	Prec@1 42.000 (47.923)	Prec@5 78.000 (78.376)
Epoch: [45][1080/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 2.1444 (2.0167)	Prec@1 43.500 (47.917)	Prec@5 75.000 (78.367)
Epoch: [45][1090/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 2.1896 (2.0175)	Prec@1 44.500 (47.914)	Prec@5 75.000 (78.358)
Epoch: [45][1100/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.8664 (2.0171)	Prec@1 50.500 (47.919)	Prec@5 78.500 (78.366)
Epoch: [45][1110/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 2.2099 (2.0172)	Prec@1 46.000 (47.919)	Prec@5 76.000 (78.371)
Epoch: [45][1120/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.8609 (2.0165)	Prec@1 47.500 (47.928)	Prec@5 79.000 (78.388)
Epoch: [45][1130/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 1.8538 (2.0162)	Prec@1 48.500 (47.945)	Prec@5 79.500 (78.393)
Epoch: [45][1140/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 2.1476 (2.0165)	Prec@1 45.500 (47.944)	Prec@5 74.500 (78.378)
Epoch: [45][1150/9018]	Time 0.584 (0.616)	Data 0.001 (0.003)	Loss 2.0772 (2.0171)	Prec@1 45.000 (47.942)	Prec@5 78.000 (78.369)
Epoch: [45][1160/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.1114 (2.0180)	Prec@1 48.000 (47.925)	Prec@5 78.000 (78.359)
Epoch: [45][1170/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.9170 (2.0183)	Prec@1 51.500 (47.918)	Prec@5 76.500 (78.345)
Epoch: [45][1180/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 1.9936 (2.0176)	Prec@1 47.000 (47.928)	Prec@5 80.000 (78.365)
Epoch: [45][1190/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.8591 (2.0176)	Prec@1 50.500 (47.931)	Prec@5 80.000 (78.366)
Epoch: [45][1200/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 1.8363 (2.0178)	Prec@1 53.000 (47.924)	Prec@5 82.000 (78.366)
Epoch: [45][1210/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 1.8873 (2.0179)	Prec@1 50.500 (47.933)	Prec@5 79.000 (78.366)
Epoch: [45][1220/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.0808 (2.0180)	Prec@1 47.000 (47.922)	Prec@5 77.000 (78.364)
Epoch: [45][1230/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.9732 (2.0184)	Prec@1 48.500 (47.908)	Prec@5 77.000 (78.356)
Epoch: [45][1240/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.7787 (2.0185)	Prec@1 51.000 (47.908)	Prec@5 83.500 (78.357)
Epoch: [45][1250/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.1337 (2.0183)	Prec@1 47.000 (47.906)	Prec@5 75.000 (78.356)
Epoch: [45][1260/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9429 (2.0184)	Prec@1 45.500 (47.897)	Prec@5 82.000 (78.349)
Epoch: [45][1270/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0886 (2.0185)	Prec@1 44.000 (47.905)	Prec@5 75.000 (78.341)
Epoch: [45][1280/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.9909 (2.0187)	Prec@1 48.500 (47.897)	Prec@5 78.500 (78.335)
Epoch: [45][1290/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 1.9221 (2.0186)	Prec@1 48.500 (47.895)	Prec@5 83.000 (78.338)
Epoch: [45][1300/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9479 (2.0186)	Prec@1 45.500 (47.903)	Prec@5 78.500 (78.342)
Epoch: [45][1310/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 1.8866 (2.0185)	Prec@1 52.500 (47.908)	Prec@5 77.500 (78.343)
Epoch: [45][1320/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 2.1047 (2.0186)	Prec@1 47.000 (47.906)	Prec@5 76.000 (78.345)
Epoch: [45][1330/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.8312 (2.0187)	Prec@1 51.000 (47.898)	Prec@5 81.500 (78.341)
Epoch: [45][1340/9018]	Time 0.722 (0.616)	Data 0.001 (0.002)	Loss 2.1424 (2.0183)	Prec@1 43.500 (47.907)	Prec@5 75.500 (78.350)
Epoch: [45][1350/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.6948 (2.0181)	Prec@1 54.000 (47.905)	Prec@5 84.000 (78.351)
Epoch: [45][1360/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.0692 (2.0184)	Prec@1 44.500 (47.899)	Prec@5 76.500 (78.343)
Epoch: [45][1370/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.2152 (2.0186)	Prec@1 47.000 (47.895)	Prec@5 74.000 (78.342)
Epoch: [45][1380/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.8242 (2.0188)	Prec@1 50.000 (47.894)	Prec@5 82.500 (78.341)
Epoch: [45][1390/9018]	Time 0.757 (0.616)	Data 0.001 (0.002)	Loss 2.1419 (2.0189)	Prec@1 45.500 (47.898)	Prec@5 77.500 (78.341)
Epoch: [45][1400/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9504 (2.0190)	Prec@1 48.000 (47.893)	Prec@5 84.500 (78.345)
Epoch: [45][1410/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.1741 (2.0196)	Prec@1 49.000 (47.882)	Prec@5 78.000 (78.339)
Epoch: [45][1420/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.2128 (2.0200)	Prec@1 44.000 (47.883)	Prec@5 76.000 (78.336)
Epoch: [45][1430/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.3034 (2.0201)	Prec@1 42.500 (47.886)	Prec@5 72.000 (78.340)
Epoch: [45][1440/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 1.8628 (2.0197)	Prec@1 49.500 (47.891)	Prec@5 82.000 (78.340)
Epoch: [45][1450/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.0488 (2.0194)	Prec@1 46.000 (47.889)	Prec@5 78.500 (78.346)
Epoch: [45][1460/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.7952 (2.0190)	Prec@1 56.000 (47.892)	Prec@5 82.000 (78.352)
Epoch: [45][1470/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 1.9276 (2.0195)	Prec@1 50.500 (47.887)	Prec@5 78.000 (78.341)
Epoch: [45][1480/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 2.2468 (2.0203)	Prec@1 45.500 (47.872)	Prec@5 71.000 (78.330)
Epoch: [45][1490/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.1448 (2.0204)	Prec@1 46.500 (47.866)	Prec@5 78.000 (78.331)
Epoch: [45][1500/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 1.9267 (2.0204)	Prec@1 51.500 (47.857)	Prec@5 81.500 (78.338)
Epoch: [45][1510/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.0259 (2.0205)	Prec@1 43.500 (47.855)	Prec@5 76.500 (78.337)
Epoch: [45][1520/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.2551 (2.0208)	Prec@1 46.000 (47.842)	Prec@5 74.500 (78.329)
Epoch: [45][1530/9018]	Time 0.638 (0.616)	Data 0.001 (0.002)	Loss 2.0791 (2.0208)	Prec@1 47.000 (47.838)	Prec@5 78.000 (78.331)
Epoch: [45][1540/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 1.8971 (2.0209)	Prec@1 48.000 (47.833)	Prec@5 79.500 (78.329)
Epoch: [45][1550/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0549 (2.0209)	Prec@1 47.000 (47.843)	Prec@5 79.500 (78.334)
Epoch: [45][1560/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.2266 (2.0212)	Prec@1 44.000 (47.833)	Prec@5 75.500 (78.325)
Epoch: [45][1570/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 1.9406 (2.0212)	Prec@1 50.500 (47.837)	Prec@5 79.500 (78.327)
Epoch: [45][1580/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 1.9466 (2.0210)	Prec@1 50.500 (47.837)	Prec@5 80.000 (78.324)
Epoch: [45][1590/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.0270 (2.0212)	Prec@1 48.000 (47.836)	Prec@5 75.500 (78.324)
Epoch: [45][1600/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.9933 (2.0210)	Prec@1 48.000 (47.840)	Prec@5 76.500 (78.330)
Epoch: [45][1610/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1140 (2.0211)	Prec@1 46.000 (47.845)	Prec@5 76.000 (78.322)
Epoch: [45][1620/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8287 (2.0208)	Prec@1 54.000 (47.843)	Prec@5 79.500 (78.326)
Epoch: [45][1630/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 2.0281 (2.0206)	Prec@1 48.000 (47.843)	Prec@5 78.000 (78.330)
Epoch: [45][1640/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.1574 (2.0208)	Prec@1 49.000 (47.835)	Prec@5 74.000 (78.324)
Epoch: [45][1650/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1897 (2.0210)	Prec@1 44.500 (47.830)	Prec@5 74.000 (78.319)
Epoch: [45][1660/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.0158 (2.0211)	Prec@1 47.500 (47.831)	Prec@5 78.000 (78.312)
Epoch: [45][1670/9018]	Time 0.754 (0.616)	Data 0.001 (0.002)	Loss 1.9797 (2.0209)	Prec@1 50.000 (47.827)	Prec@5 77.500 (78.313)
Epoch: [45][1680/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0644 (2.0208)	Prec@1 47.500 (47.827)	Prec@5 77.000 (78.313)
Epoch: [45][1690/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.0722 (2.0208)	Prec@1 46.500 (47.822)	Prec@5 77.500 (78.311)
Epoch: [45][1700/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 1.9422 (2.0206)	Prec@1 49.000 (47.831)	Prec@5 81.500 (78.313)
Epoch: [45][1710/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.1839 (2.0208)	Prec@1 47.500 (47.830)	Prec@5 78.500 (78.311)
Epoch: [45][1720/9018]	Time 0.726 (0.616)	Data 0.001 (0.002)	Loss 1.8774 (2.0207)	Prec@1 50.000 (47.838)	Prec@5 80.000 (78.311)
Epoch: [45][1730/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.9399 (2.0206)	Prec@1 48.000 (47.844)	Prec@5 79.500 (78.313)
Epoch: [45][1740/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9146 (2.0209)	Prec@1 53.500 (47.840)	Prec@5 79.000 (78.312)
Epoch: [45][1750/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.9757 (2.0207)	Prec@1 54.000 (47.842)	Prec@5 78.000 (78.316)
Epoch: [45][1760/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.1588 (2.0205)	Prec@1 40.500 (47.845)	Prec@5 75.500 (78.324)
Epoch: [45][1770/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.8194 (2.0200)	Prec@1 57.000 (47.854)	Prec@5 80.500 (78.336)
Epoch: [45][1780/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 2.1523 (2.0202)	Prec@1 49.000 (47.848)	Prec@5 78.500 (78.329)
Epoch: [45][1790/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0381 (2.0204)	Prec@1 49.500 (47.846)	Prec@5 79.500 (78.322)
Epoch: [45][1800/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.0653 (2.0202)	Prec@1 48.500 (47.857)	Prec@5 76.000 (78.322)
Epoch: [45][1810/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 1.9998 (2.0202)	Prec@1 49.000 (47.853)	Prec@5 79.000 (78.321)
Epoch: [45][1820/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9955 (2.0204)	Prec@1 47.000 (47.849)	Prec@5 72.500 (78.315)
Epoch: [45][1830/9018]	Time 0.595 (0.616)	Data 0.002 (0.002)	Loss 2.0055 (2.0204)	Prec@1 48.000 (47.852)	Prec@5 80.000 (78.316)
Epoch: [45][1840/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.2007 (2.0208)	Prec@1 45.500 (47.845)	Prec@5 75.500 (78.311)
Epoch: [45][1850/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 1.9496 (2.0212)	Prec@1 48.500 (47.839)	Prec@5 76.500 (78.303)
Epoch: [45][1860/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.0092 (2.0212)	Prec@1 47.000 (47.839)	Prec@5 82.000 (78.303)
Epoch: [45][1870/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.9017 (2.0214)	Prec@1 48.500 (47.828)	Prec@5 78.000 (78.295)
Epoch: [45][1880/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.1868 (2.0215)	Prec@1 46.000 (47.826)	Prec@5 74.000 (78.296)
Epoch: [45][1890/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8926 (2.0212)	Prec@1 49.000 (47.825)	Prec@5 76.000 (78.295)
Epoch: [45][1900/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 2.0374 (2.0212)	Prec@1 50.500 (47.823)	Prec@5 79.500 (78.299)
Epoch: [45][1910/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 2.1437 (2.0213)	Prec@1 46.500 (47.824)	Prec@5 77.000 (78.294)
Epoch: [45][1920/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.9292 (2.0209)	Prec@1 48.500 (47.829)	Prec@5 80.500 (78.298)
Epoch: [45][1930/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.1705 (2.0212)	Prec@1 42.500 (47.822)	Prec@5 78.000 (78.291)
Epoch: [45][1940/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 2.0487 (2.0210)	Prec@1 47.500 (47.828)	Prec@5 78.500 (78.298)
Epoch: [45][1950/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.9413 (2.0205)	Prec@1 46.000 (47.836)	Prec@5 78.500 (78.304)
Epoch: [45][1960/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9726 (2.0207)	Prec@1 48.000 (47.833)	Prec@5 82.000 (78.304)
Epoch: [45][1970/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9905 (2.0210)	Prec@1 47.500 (47.829)	Prec@5 79.000 (78.303)
Epoch: [45][1980/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.0408 (2.0211)	Prec@1 42.000 (47.826)	Prec@5 78.500 (78.304)
Epoch: [45][1990/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.1754 (2.0213)	Prec@1 44.000 (47.821)	Prec@5 73.500 (78.293)
Epoch: [45][2000/9018]	Time 0.731 (0.616)	Data 0.001 (0.002)	Loss 1.9764 (2.0213)	Prec@1 46.000 (47.827)	Prec@5 81.000 (78.294)
Epoch: [45][2010/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.1423 (2.0213)	Prec@1 41.500 (47.824)	Prec@5 73.000 (78.292)
Epoch: [45][2020/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.8891 (2.0209)	Prec@1 52.000 (47.833)	Prec@5 80.500 (78.300)
Epoch: [45][2030/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.1106 (2.0211)	Prec@1 46.000 (47.827)	Prec@5 74.500 (78.294)
Epoch: [45][2040/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.8514 (2.0208)	Prec@1 48.500 (47.836)	Prec@5 82.000 (78.300)
Epoch: [45][2050/9018]	Time 0.729 (0.616)	Data 0.001 (0.002)	Loss 2.1444 (2.0206)	Prec@1 44.000 (47.835)	Prec@5 76.000 (78.298)
Epoch: [45][2060/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.1388 (2.0207)	Prec@1 41.500 (47.836)	Prec@5 76.500 (78.300)
Epoch: [45][2070/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.0002 (2.0204)	Prec@1 51.000 (47.850)	Prec@5 82.500 (78.312)
Epoch: [45][2080/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 2.0694 (2.0205)	Prec@1 45.500 (47.852)	Prec@5 79.500 (78.313)
Epoch: [45][2090/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9530 (2.0205)	Prec@1 50.500 (47.857)	Prec@5 78.500 (78.311)
Epoch: [45][2100/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 2.0433 (2.0205)	Prec@1 45.500 (47.855)	Prec@5 76.000 (78.308)
Epoch: [45][2110/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.0135 (2.0210)	Prec@1 46.000 (47.840)	Prec@5 80.500 (78.301)
Epoch: [45][2120/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.0580 (2.0211)	Prec@1 47.500 (47.842)	Prec@5 76.000 (78.299)
Epoch: [45][2130/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 2.5616 (2.0213)	Prec@1 38.500 (47.835)	Prec@5 66.500 (78.295)
Epoch: [45][2140/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.0118 (2.0209)	Prec@1 48.000 (47.840)	Prec@5 79.500 (78.301)
Epoch: [45][2150/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.8662 (2.0209)	Prec@1 49.000 (47.837)	Prec@5 80.500 (78.300)
Epoch: [45][2160/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 1.9856 (2.0212)	Prec@1 51.000 (47.828)	Prec@5 79.500 (78.294)
Epoch: [45][2170/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0916 (2.0211)	Prec@1 40.500 (47.832)	Prec@5 77.500 (78.295)
Epoch: [45][2180/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 1.9168 (2.0215)	Prec@1 49.500 (47.826)	Prec@5 79.000 (78.289)
Epoch: [45][2190/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 1.7555 (2.0212)	Prec@1 52.500 (47.831)	Prec@5 84.500 (78.294)
Epoch: [45][2200/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.6668 (2.0212)	Prec@1 53.000 (47.823)	Prec@5 84.500 (78.292)
Epoch: [45][2210/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 1.8209 (2.0209)	Prec@1 55.500 (47.835)	Prec@5 77.000 (78.293)
Epoch: [45][2220/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 2.0720 (2.0208)	Prec@1 48.000 (47.832)	Prec@5 78.000 (78.301)
Epoch: [45][2230/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.0366 (2.0209)	Prec@1 48.000 (47.835)	Prec@5 80.000 (78.300)
Epoch: [45][2240/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.0131 (2.0209)	Prec@1 49.000 (47.838)	Prec@5 79.500 (78.297)
Epoch: [45][2250/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.7301 (2.0209)	Prec@1 56.000 (47.839)	Prec@5 83.500 (78.299)
Epoch: [45][2260/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 1.8341 (2.0205)	Prec@1 47.500 (47.846)	Prec@5 85.000 (78.308)
Epoch: [45][2270/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.1010 (2.0206)	Prec@1 48.000 (47.847)	Prec@5 77.000 (78.311)
Epoch: [45][2280/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.8537 (2.0205)	Prec@1 53.000 (47.847)	Prec@5 81.000 (78.313)
Epoch: [45][2290/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.2569 (2.0207)	Prec@1 45.000 (47.842)	Prec@5 72.500 (78.310)
Epoch: [45][2300/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.9462 (2.0208)	Prec@1 44.500 (47.834)	Prec@5 79.500 (78.309)
Epoch: [45][2310/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 1.9509 (2.0208)	Prec@1 51.500 (47.839)	Prec@5 80.000 (78.307)
Epoch: [45][2320/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.9921 (2.0209)	Prec@1 50.500 (47.834)	Prec@5 79.000 (78.303)
Epoch: [45][2330/9018]	Time 0.714 (0.615)	Data 0.001 (0.002)	Loss 2.1040 (2.0212)	Prec@1 43.000 (47.834)	Prec@5 79.500 (78.300)
Epoch: [45][2340/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 1.9474 (2.0209)	Prec@1 48.000 (47.842)	Prec@5 79.000 (78.302)
Epoch: [45][2350/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.2380 (2.0209)	Prec@1 48.500 (47.849)	Prec@5 73.000 (78.302)
Epoch: [45][2360/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 1.9642 (2.0210)	Prec@1 50.000 (47.844)	Prec@5 79.500 (78.299)
Epoch: [45][2370/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 2.0829 (2.0212)	Prec@1 44.000 (47.838)	Prec@5 75.000 (78.292)
Epoch: [45][2380/9018]	Time 0.733 (0.615)	Data 0.001 (0.002)	Loss 2.0205 (2.0213)	Prec@1 48.000 (47.833)	Prec@5 78.000 (78.291)
Epoch: [45][2390/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 2.1322 (2.0217)	Prec@1 44.500 (47.823)	Prec@5 75.500 (78.282)
Epoch: [45][2400/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.0247 (2.0220)	Prec@1 50.000 (47.822)	Prec@5 77.500 (78.274)
Epoch: [45][2410/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.0281 (2.0219)	Prec@1 45.000 (47.829)	Prec@5 79.000 (78.273)
Epoch: [45][2420/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.1451 (2.0219)	Prec@1 43.500 (47.823)	Prec@5 77.000 (78.276)
Epoch: [45][2430/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.8490 (2.0221)	Prec@1 50.000 (47.815)	Prec@5 85.500 (78.277)
Epoch: [45][2440/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.2325 (2.0221)	Prec@1 43.000 (47.812)	Prec@5 73.500 (78.277)
Epoch: [45][2450/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.1862 (2.0220)	Prec@1 44.500 (47.813)	Prec@5 76.000 (78.278)
Epoch: [45][2460/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.1341 (2.0218)	Prec@1 47.000 (47.820)	Prec@5 75.000 (78.280)
Epoch: [45][2470/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 1.9878 (2.0217)	Prec@1 47.500 (47.821)	Prec@5 79.500 (78.282)
Epoch: [45][2480/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 2.1423 (2.0219)	Prec@1 45.500 (47.820)	Prec@5 75.500 (78.275)
Epoch: [45][2490/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0923 (2.0219)	Prec@1 47.000 (47.819)	Prec@5 75.000 (78.273)
Epoch: [45][2500/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.3333 (2.0221)	Prec@1 43.000 (47.815)	Prec@5 74.000 (78.271)
Epoch: [45][2510/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 2.0485 (2.0219)	Prec@1 43.500 (47.816)	Prec@5 78.000 (78.276)
Epoch: [45][2520/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.0319 (2.0222)	Prec@1 49.000 (47.815)	Prec@5 75.000 (78.271)
Epoch: [45][2530/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.0557 (2.0223)	Prec@1 45.500 (47.813)	Prec@5 78.500 (78.265)
Epoch: [45][2540/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 1.8870 (2.0223)	Prec@1 49.500 (47.810)	Prec@5 83.000 (78.267)
Epoch: [45][2550/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.0009 (2.0223)	Prec@1 49.000 (47.813)	Prec@5 77.500 (78.270)
Epoch: [45][2560/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.9938 (2.0225)	Prec@1 46.500 (47.817)	Prec@5 79.000 (78.271)
Epoch: [45][2570/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.0184 (2.0228)	Prec@1 50.500 (47.814)	Prec@5 80.500 (78.266)
Epoch: [45][2580/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.1643 (2.0228)	Prec@1 43.000 (47.812)	Prec@5 75.000 (78.268)
Epoch: [45][2590/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 1.9773 (2.0227)	Prec@1 47.500 (47.808)	Prec@5 77.500 (78.272)
Epoch: [45][2600/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.0633 (2.0229)	Prec@1 45.500 (47.807)	Prec@5 80.000 (78.270)
Epoch: [45][2610/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.0809 (2.0229)	Prec@1 49.000 (47.804)	Prec@5 76.000 (78.269)
Epoch: [45][2620/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.0761 (2.0226)	Prec@1 49.000 (47.807)	Prec@5 76.500 (78.273)
Epoch: [45][2630/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.1768 (2.0225)	Prec@1 43.500 (47.806)	Prec@5 74.000 (78.276)
Epoch: [45][2640/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.1857 (2.0224)	Prec@1 44.000 (47.808)	Prec@5 72.500 (78.278)
Epoch: [45][2650/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.9815 (2.0225)	Prec@1 46.500 (47.807)	Prec@5 80.000 (78.276)
Epoch: [45][2660/9018]	Time 0.724 (0.615)	Data 0.001 (0.002)	Loss 2.0494 (2.0226)	Prec@1 47.500 (47.807)	Prec@5 78.000 (78.275)
Epoch: [45][2670/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.2936 (2.0230)	Prec@1 44.000 (47.800)	Prec@5 73.500 (78.270)
Epoch: [45][2680/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.8930 (2.0230)	Prec@1 51.000 (47.797)	Prec@5 82.000 (78.273)
Epoch: [45][2690/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.9783 (2.0231)	Prec@1 47.000 (47.793)	Prec@5 76.000 (78.267)
Epoch: [45][2700/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9025 (2.0232)	Prec@1 49.500 (47.792)	Prec@5 77.500 (78.266)
Epoch: [45][2710/9018]	Time 0.751 (0.615)	Data 0.001 (0.002)	Loss 2.0609 (2.0235)	Prec@1 44.000 (47.782)	Prec@5 81.500 (78.261)
Epoch: [45][2720/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.8266 (2.0233)	Prec@1 51.500 (47.785)	Prec@5 85.000 (78.268)
Epoch: [45][2730/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.9502 (2.0232)	Prec@1 52.000 (47.786)	Prec@5 79.500 (78.273)
Epoch: [45][2740/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 1.8791 (2.0231)	Prec@1 50.000 (47.787)	Prec@5 81.000 (78.274)
Epoch: [45][2750/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 2.2640 (2.0232)	Prec@1 45.000 (47.785)	Prec@5 73.500 (78.271)
Epoch: [45][2760/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.9478 (2.0229)	Prec@1 49.000 (47.790)	Prec@5 78.000 (78.273)
Epoch: [45][2770/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.1138 (2.0229)	Prec@1 48.000 (47.795)	Prec@5 75.000 (78.277)
Epoch: [45][2780/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0086 (2.0230)	Prec@1 48.000 (47.793)	Prec@5 78.500 (78.277)
Epoch: [45][2790/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 1.8669 (2.0228)	Prec@1 49.000 (47.794)	Prec@5 81.500 (78.276)
Epoch: [45][2800/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.9211 (2.0229)	Prec@1 48.000 (47.791)	Prec@5 79.500 (78.275)
Epoch: [45][2810/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0053 (2.0230)	Prec@1 41.000 (47.786)	Prec@5 77.500 (78.273)
Epoch: [45][2820/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0142 (2.0230)	Prec@1 43.500 (47.783)	Prec@5 79.000 (78.270)
Epoch: [45][2830/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.8435 (2.0229)	Prec@1 50.000 (47.782)	Prec@5 83.000 (78.276)
Epoch: [45][2840/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.1372 (2.0230)	Prec@1 44.500 (47.782)	Prec@5 77.000 (78.275)
Epoch: [45][2850/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 1.9398 (2.0231)	Prec@1 46.000 (47.784)	Prec@5 80.500 (78.273)
Epoch: [45][2860/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 1.8751 (2.0230)	Prec@1 50.000 (47.780)	Prec@5 81.500 (78.274)
Epoch: [45][2870/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.9003 (2.0231)	Prec@1 52.000 (47.777)	Prec@5 80.000 (78.269)
Epoch: [45][2880/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 1.9099 (2.0230)	Prec@1 51.000 (47.775)	Prec@5 80.500 (78.273)
Epoch: [45][2890/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.7599 (2.0228)	Prec@1 54.000 (47.777)	Prec@5 86.000 (78.273)
Epoch: [45][2900/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1110 (2.0228)	Prec@1 47.000 (47.776)	Prec@5 76.000 (78.274)
Epoch: [45][2910/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0723 (2.0228)	Prec@1 45.000 (47.774)	Prec@5 78.000 (78.271)
Epoch: [45][2920/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0982 (2.0229)	Prec@1 44.500 (47.769)	Prec@5 77.000 (78.269)
Epoch: [45][2930/9018]	Time 0.603 (0.615)	Data 0.003 (0.001)	Loss 2.2563 (2.0230)	Prec@1 43.500 (47.765)	Prec@5 75.000 (78.273)
Epoch: [45][2940/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.2071 (2.0229)	Prec@1 37.500 (47.765)	Prec@5 80.500 (78.275)
Epoch: [45][2950/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.7869 (2.0227)	Prec@1 53.000 (47.766)	Prec@5 80.500 (78.277)
Epoch: [45][2960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0024 (2.0228)	Prec@1 48.000 (47.768)	Prec@5 80.500 (78.280)
Epoch: [45][2970/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9676 (2.0229)	Prec@1 50.500 (47.764)	Prec@5 82.000 (78.278)
Epoch: [45][2980/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0895 (2.0228)	Prec@1 47.000 (47.767)	Prec@5 75.500 (78.280)
Epoch: [45][2990/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 1.9929 (2.0227)	Prec@1 50.000 (47.769)	Prec@5 77.500 (78.284)
Epoch: [45][3000/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0810 (2.0227)	Prec@1 48.000 (47.768)	Prec@5 76.000 (78.286)
Epoch: [45][3010/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.1248 (2.0229)	Prec@1 45.000 (47.761)	Prec@5 77.000 (78.282)
Epoch: [45][3020/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0764 (2.0228)	Prec@1 48.000 (47.764)	Prec@5 75.000 (78.282)
Epoch: [45][3030/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9442 (2.0230)	Prec@1 53.500 (47.763)	Prec@5 79.500 (78.281)
Epoch: [45][3040/9018]	Time 0.751 (0.615)	Data 0.001 (0.001)	Loss 2.0899 (2.0230)	Prec@1 46.500 (47.761)	Prec@5 76.000 (78.280)
Epoch: [45][3050/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1700 (2.0231)	Prec@1 48.500 (47.759)	Prec@5 76.500 (78.277)
Epoch: [45][3060/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0176 (2.0231)	Prec@1 43.000 (47.755)	Prec@5 78.000 (78.277)
Epoch: [45][3070/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.0301 (2.0231)	Prec@1 47.000 (47.753)	Prec@5 80.500 (78.278)
Epoch: [45][3080/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9885 (2.0230)	Prec@1 45.000 (47.757)	Prec@5 82.000 (78.281)
Epoch: [45][3090/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0507 (2.0230)	Prec@1 47.000 (47.760)	Prec@5 75.000 (78.280)
Epoch: [45][3100/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1378 (2.0231)	Prec@1 45.500 (47.758)	Prec@5 76.500 (78.278)
Epoch: [45][3110/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3860 (2.0231)	Prec@1 40.500 (47.757)	Prec@5 71.000 (78.277)
Epoch: [45][3120/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8366 (2.0232)	Prec@1 50.000 (47.756)	Prec@5 82.000 (78.273)
Epoch: [45][3130/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0701 (2.0232)	Prec@1 48.000 (47.758)	Prec@5 78.000 (78.271)
Epoch: [45][3140/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1641 (2.0231)	Prec@1 53.000 (47.760)	Prec@5 77.500 (78.274)
Epoch: [45][3150/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0434 (2.0233)	Prec@1 48.500 (47.753)	Prec@5 78.000 (78.269)
Epoch: [45][3160/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9502 (2.0233)	Prec@1 47.000 (47.748)	Prec@5 82.000 (78.270)
Epoch: [45][3170/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3094 (2.0235)	Prec@1 43.000 (47.743)	Prec@5 74.000 (78.266)
Epoch: [45][3180/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1851 (2.0233)	Prec@1 47.000 (47.747)	Prec@5 73.000 (78.267)
Epoch: [45][3190/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1927 (2.0233)	Prec@1 45.500 (47.743)	Prec@5 72.500 (78.267)
Epoch: [45][3200/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.3139 (2.0234)	Prec@1 42.500 (47.742)	Prec@5 73.500 (78.265)
Epoch: [45][3210/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2399 (2.0234)	Prec@1 40.000 (47.746)	Prec@5 75.000 (78.262)
Epoch: [45][3220/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.1256 (2.0235)	Prec@1 45.500 (47.744)	Prec@5 76.500 (78.258)
Epoch: [45][3230/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9970 (2.0236)	Prec@1 46.000 (47.743)	Prec@5 79.000 (78.256)
Epoch: [45][3240/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9150 (2.0236)	Prec@1 50.000 (47.745)	Prec@5 80.500 (78.255)
Epoch: [45][3250/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1277 (2.0236)	Prec@1 47.000 (47.745)	Prec@5 75.500 (78.255)
Epoch: [45][3260/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1880 (2.0236)	Prec@1 44.000 (47.743)	Prec@5 74.500 (78.254)
Epoch: [45][3270/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.8637 (2.0237)	Prec@1 48.500 (47.743)	Prec@5 84.000 (78.251)
Epoch: [45][3280/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.2914 (2.0239)	Prec@1 38.000 (47.734)	Prec@5 77.000 (78.250)
Epoch: [45][3290/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2250 (2.0238)	Prec@1 45.500 (47.734)	Prec@5 72.500 (78.251)
Epoch: [45][3300/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0021 (2.0238)	Prec@1 50.000 (47.732)	Prec@5 78.500 (78.251)
Epoch: [45][3310/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1937 (2.0241)	Prec@1 46.500 (47.724)	Prec@5 73.500 (78.248)
Epoch: [45][3320/9018]	Time 0.748 (0.615)	Data 0.001 (0.001)	Loss 2.1115 (2.0240)	Prec@1 45.500 (47.729)	Prec@5 82.000 (78.251)
Epoch: [45][3330/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9266 (2.0239)	Prec@1 53.000 (47.731)	Prec@5 78.500 (78.247)
Epoch: [45][3340/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.1253 (2.0240)	Prec@1 50.000 (47.731)	Prec@5 74.000 (78.246)
Epoch: [45][3350/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.1174 (2.0242)	Prec@1 45.000 (47.729)	Prec@5 79.500 (78.242)
Epoch: [45][3360/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9984 (2.0242)	Prec@1 48.000 (47.727)	Prec@5 77.000 (78.240)
Epoch: [45][3370/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.0525 (2.0244)	Prec@1 49.000 (47.723)	Prec@5 80.000 (78.236)
Epoch: [45][3380/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.9372 (2.0245)	Prec@1 48.000 (47.721)	Prec@5 79.000 (78.232)
Epoch: [45][3390/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0684 (2.0246)	Prec@1 50.500 (47.720)	Prec@5 81.500 (78.231)
Epoch: [45][3400/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0928 (2.0247)	Prec@1 46.500 (47.718)	Prec@5 78.500 (78.229)
Epoch: [45][3410/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0403 (2.0247)	Prec@1 46.500 (47.721)	Prec@5 77.500 (78.227)
Epoch: [45][3420/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0473 (2.0247)	Prec@1 48.500 (47.722)	Prec@5 78.500 (78.226)
Epoch: [45][3430/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0966 (2.0248)	Prec@1 44.000 (47.721)	Prec@5 79.500 (78.226)
Epoch: [45][3440/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8737 (2.0247)	Prec@1 50.000 (47.719)	Prec@5 83.500 (78.226)
Epoch: [45][3450/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.1067 (2.0247)	Prec@1 46.000 (47.721)	Prec@5 74.000 (78.226)
Epoch: [45][3460/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9275 (2.0247)	Prec@1 51.000 (47.724)	Prec@5 82.500 (78.227)
Epoch: [45][3470/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7998 (2.0246)	Prec@1 49.500 (47.729)	Prec@5 82.000 (78.229)
Epoch: [45][3480/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0137 (2.0246)	Prec@1 49.500 (47.732)	Prec@5 77.500 (78.228)
Epoch: [45][3490/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9965 (2.0248)	Prec@1 43.000 (47.729)	Prec@5 76.500 (78.220)
Epoch: [45][3500/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1348 (2.0248)	Prec@1 47.000 (47.731)	Prec@5 77.000 (78.220)
Epoch: [45][3510/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0957 (2.0248)	Prec@1 48.500 (47.731)	Prec@5 76.500 (78.222)
Epoch: [45][3520/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0158 (2.0247)	Prec@1 47.000 (47.734)	Prec@5 80.500 (78.226)
Epoch: [45][3530/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0366 (2.0248)	Prec@1 49.500 (47.735)	Prec@5 81.500 (78.222)
Epoch: [45][3540/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8640 (2.0246)	Prec@1 49.500 (47.738)	Prec@5 80.000 (78.222)
Epoch: [45][3550/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2231 (2.0247)	Prec@1 42.000 (47.738)	Prec@5 74.000 (78.218)
Epoch: [45][3560/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0190 (2.0248)	Prec@1 44.500 (47.732)	Prec@5 80.000 (78.216)
Epoch: [45][3570/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9900 (2.0248)	Prec@1 46.500 (47.731)	Prec@5 79.000 (78.217)
Epoch: [45][3580/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1399 (2.0248)	Prec@1 44.000 (47.729)	Prec@5 77.500 (78.218)
Epoch: [45][3590/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1724 (2.0248)	Prec@1 42.500 (47.727)	Prec@5 77.500 (78.219)
Epoch: [45][3600/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9449 (2.0249)	Prec@1 48.000 (47.723)	Prec@5 83.000 (78.220)
Epoch: [45][3610/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0817 (2.0249)	Prec@1 48.500 (47.725)	Prec@5 77.500 (78.221)
Epoch: [45][3620/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0687 (2.0249)	Prec@1 44.500 (47.722)	Prec@5 77.000 (78.219)
Epoch: [45][3630/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.9213 (2.0249)	Prec@1 49.000 (47.724)	Prec@5 81.000 (78.218)
Epoch: [45][3640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1109 (2.0248)	Prec@1 49.000 (47.727)	Prec@5 80.000 (78.220)
Epoch: [45][3650/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 1.9491 (2.0247)	Prec@1 50.500 (47.730)	Prec@5 79.000 (78.217)
Epoch: [45][3660/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0245 (2.0249)	Prec@1 47.000 (47.728)	Prec@5 79.500 (78.212)
Epoch: [45][3670/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9869 (2.0252)	Prec@1 47.500 (47.722)	Prec@5 80.000 (78.210)
Epoch: [45][3680/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0996 (2.0251)	Prec@1 47.000 (47.721)	Prec@5 74.000 (78.212)
Epoch: [45][3690/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2165 (2.0254)	Prec@1 41.000 (47.712)	Prec@5 74.000 (78.208)
Epoch: [45][3700/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.0349 (2.0254)	Prec@1 45.500 (47.710)	Prec@5 77.000 (78.209)
Epoch: [45][3710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9165 (2.0253)	Prec@1 50.000 (47.709)	Prec@5 78.500 (78.208)
Epoch: [45][3720/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9899 (2.0254)	Prec@1 48.000 (47.707)	Prec@5 76.500 (78.205)
Epoch: [45][3730/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.7697 (2.0253)	Prec@1 53.500 (47.708)	Prec@5 84.500 (78.207)
Epoch: [45][3740/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9643 (2.0255)	Prec@1 46.500 (47.703)	Prec@5 81.500 (78.206)
Epoch: [45][3750/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.3345 (2.0255)	Prec@1 43.000 (47.701)	Prec@5 71.000 (78.205)
Epoch: [45][3760/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7870 (2.0256)	Prec@1 52.500 (47.702)	Prec@5 81.000 (78.203)
Epoch: [45][3770/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9871 (2.0257)	Prec@1 46.500 (47.698)	Prec@5 80.000 (78.202)
Epoch: [45][3780/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0475 (2.0257)	Prec@1 46.000 (47.697)	Prec@5 81.500 (78.206)
Epoch: [45][3790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8029 (2.0257)	Prec@1 51.000 (47.697)	Prec@5 79.500 (78.205)
Epoch: [45][3800/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1319 (2.0256)	Prec@1 42.500 (47.701)	Prec@5 74.500 (78.206)
Epoch: [45][3810/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0781 (2.0256)	Prec@1 47.500 (47.701)	Prec@5 78.000 (78.204)
Epoch: [45][3820/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8587 (2.0255)	Prec@1 51.500 (47.701)	Prec@5 83.500 (78.207)
Epoch: [45][3830/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.9614 (2.0255)	Prec@1 50.500 (47.702)	Prec@5 76.500 (78.207)
Epoch: [45][3840/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2119 (2.0256)	Prec@1 46.000 (47.697)	Prec@5 76.500 (78.205)
Epoch: [45][3850/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0749 (2.0256)	Prec@1 42.500 (47.695)	Prec@5 80.500 (78.205)
Epoch: [45][3860/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0286 (2.0257)	Prec@1 52.000 (47.697)	Prec@5 80.000 (78.206)
Epoch: [45][3870/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2258 (2.0258)	Prec@1 49.000 (47.699)	Prec@5 74.000 (78.205)
Epoch: [45][3880/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.7917 (2.0257)	Prec@1 54.500 (47.704)	Prec@5 82.500 (78.205)
Epoch: [45][3890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9338 (2.0257)	Prec@1 51.500 (47.705)	Prec@5 80.000 (78.207)
Epoch: [45][3900/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0050 (2.0258)	Prec@1 47.500 (47.704)	Prec@5 78.000 (78.205)
Epoch: [45][3910/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.9049 (2.0258)	Prec@1 49.500 (47.704)	Prec@5 79.000 (78.206)
Epoch: [45][3920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0595 (2.0259)	Prec@1 43.000 (47.699)	Prec@5 79.500 (78.207)
Epoch: [45][3930/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9533 (2.0258)	Prec@1 50.500 (47.702)	Prec@5 77.500 (78.207)
Epoch: [45][3940/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.9497 (2.0257)	Prec@1 48.500 (47.703)	Prec@5 80.000 (78.210)
Epoch: [45][3950/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0670 (2.0256)	Prec@1 45.500 (47.701)	Prec@5 77.500 (78.213)
Epoch: [45][3960/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8052 (2.0256)	Prec@1 52.500 (47.703)	Prec@5 80.500 (78.215)
Epoch: [45][3970/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0988 (2.0258)	Prec@1 47.500 (47.701)	Prec@5 75.500 (78.210)
Epoch: [45][3980/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 1.9780 (2.0258)	Prec@1 50.500 (47.696)	Prec@5 81.500 (78.212)
Epoch: [45][3990/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0853 (2.0258)	Prec@1 45.500 (47.695)	Prec@5 78.000 (78.212)
Epoch: [45][4000/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1297 (2.0258)	Prec@1 46.500 (47.692)	Prec@5 78.500 (78.215)
Epoch: [45][4010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0957 (2.0258)	Prec@1 46.500 (47.687)	Prec@5 77.500 (78.216)
Epoch: [45][4020/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.2672 (2.0259)	Prec@1 40.000 (47.683)	Prec@5 70.500 (78.214)
Epoch: [45][4030/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.1424 (2.0258)	Prec@1 43.000 (47.682)	Prec@5 74.500 (78.214)
Epoch: [45][4040/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9707 (2.0258)	Prec@1 48.500 (47.682)	Prec@5 80.000 (78.213)
Epoch: [45][4050/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0338 (2.0259)	Prec@1 48.500 (47.679)	Prec@5 80.500 (78.212)
Epoch: [45][4060/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1779 (2.0261)	Prec@1 44.500 (47.675)	Prec@5 77.000 (78.207)
Epoch: [45][4070/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8916 (2.0261)	Prec@1 50.500 (47.676)	Prec@5 80.500 (78.207)
Epoch: [45][4080/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2457 (2.0263)	Prec@1 41.000 (47.671)	Prec@5 73.000 (78.201)
Epoch: [45][4090/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9632 (2.0262)	Prec@1 46.000 (47.670)	Prec@5 81.000 (78.201)
Epoch: [45][4100/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9827 (2.0264)	Prec@1 49.000 (47.664)	Prec@5 79.000 (78.198)
Epoch: [45][4110/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.1315 (2.0264)	Prec@1 46.000 (47.661)	Prec@5 74.500 (78.197)
Epoch: [45][4120/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0036 (2.0265)	Prec@1 50.000 (47.662)	Prec@5 81.500 (78.193)
Epoch: [45][4130/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0439 (2.0265)	Prec@1 50.000 (47.666)	Prec@5 77.500 (78.193)
Epoch: [45][4140/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1560 (2.0265)	Prec@1 44.000 (47.668)	Prec@5 73.500 (78.190)
Epoch: [45][4150/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8874 (2.0264)	Prec@1 51.500 (47.670)	Prec@5 79.500 (78.192)
Epoch: [45][4160/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.9496 (2.0265)	Prec@1 52.500 (47.670)	Prec@5 78.000 (78.191)
Epoch: [45][4170/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1361 (2.0265)	Prec@1 46.000 (47.672)	Prec@5 75.000 (78.191)
Epoch: [45][4180/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0871 (2.0267)	Prec@1 47.500 (47.669)	Prec@5 77.000 (78.186)
Epoch: [45][4190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1842 (2.0266)	Prec@1 48.000 (47.673)	Prec@5 77.000 (78.189)
Epoch: [45][4200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8822 (2.0266)	Prec@1 53.000 (47.675)	Prec@5 80.000 (78.190)
Epoch: [45][4210/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1055 (2.0267)	Prec@1 43.000 (47.674)	Prec@5 75.000 (78.188)
Epoch: [45][4220/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0371 (2.0266)	Prec@1 48.000 (47.674)	Prec@5 77.500 (78.190)
Epoch: [45][4230/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6658 (2.0266)	Prec@1 55.000 (47.676)	Prec@5 84.000 (78.192)
Epoch: [45][4240/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1548 (2.0267)	Prec@1 47.500 (47.674)	Prec@5 76.000 (78.192)
Epoch: [45][4250/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1294 (2.0267)	Prec@1 44.500 (47.674)	Prec@5 76.000 (78.193)
Epoch: [45][4260/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1165 (2.0267)	Prec@1 46.500 (47.675)	Prec@5 75.000 (78.192)
Epoch: [45][4270/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8562 (2.0267)	Prec@1 49.000 (47.676)	Prec@5 80.500 (78.193)
Epoch: [45][4280/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0966 (2.0266)	Prec@1 48.000 (47.678)	Prec@5 77.500 (78.193)
Epoch: [45][4290/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3371 (2.0269)	Prec@1 39.500 (47.674)	Prec@5 73.500 (78.189)
Epoch: [45][4300/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9382 (2.0268)	Prec@1 44.000 (47.672)	Prec@5 80.000 (78.189)
Epoch: [45][4310/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 1.9989 (2.0269)	Prec@1 47.500 (47.672)	Prec@5 78.500 (78.186)
Epoch: [45][4320/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1122 (2.0268)	Prec@1 47.500 (47.677)	Prec@5 76.500 (78.185)
Epoch: [45][4330/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.8306 (2.0267)	Prec@1 51.500 (47.678)	Prec@5 80.500 (78.188)
Epoch: [45][4340/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1743 (2.0269)	Prec@1 45.000 (47.675)	Prec@5 74.000 (78.185)
Epoch: [45][4350/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.3073 (2.0268)	Prec@1 40.500 (47.677)	Prec@5 74.500 (78.188)
Epoch: [45][4360/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 2.0366 (2.0268)	Prec@1 48.000 (47.673)	Prec@5 79.500 (78.188)
Epoch: [45][4370/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9945 (2.0270)	Prec@1 54.500 (47.672)	Prec@5 78.000 (78.183)
Epoch: [45][4380/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1810 (2.0270)	Prec@1 44.000 (47.673)	Prec@5 75.500 (78.184)
Epoch: [45][4390/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1859 (2.0271)	Prec@1 45.500 (47.673)	Prec@5 74.500 (78.185)
Epoch: [45][4400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1309 (2.0271)	Prec@1 44.500 (47.675)	Prec@5 76.000 (78.184)
Epoch: [45][4410/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9538 (2.0271)	Prec@1 48.000 (47.673)	Prec@5 80.000 (78.183)
Epoch: [45][4420/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1565 (2.0271)	Prec@1 46.000 (47.670)	Prec@5 77.500 (78.182)
Epoch: [45][4430/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0003 (2.0272)	Prec@1 45.500 (47.669)	Prec@5 78.500 (78.182)
Epoch: [45][4440/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8363 (2.0271)	Prec@1 51.000 (47.671)	Prec@5 80.000 (78.182)
Epoch: [45][4450/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9251 (2.0270)	Prec@1 44.500 (47.668)	Prec@5 83.000 (78.184)
Epoch: [45][4460/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0058 (2.0271)	Prec@1 51.000 (47.666)	Prec@5 79.500 (78.183)
Epoch: [45][4470/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8951 (2.0271)	Prec@1 52.000 (47.666)	Prec@5 79.000 (78.183)
Epoch: [45][4480/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.1118 (2.0271)	Prec@1 44.500 (47.662)	Prec@5 78.500 (78.183)
Epoch: [45][4490/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1828 (2.0271)	Prec@1 40.000 (47.660)	Prec@5 75.500 (78.181)
Epoch: [45][4500/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9375 (2.0272)	Prec@1 46.500 (47.660)	Prec@5 81.500 (78.182)
Epoch: [45][4510/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1888 (2.0271)	Prec@1 41.500 (47.662)	Prec@5 77.000 (78.181)
Epoch: [45][4520/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.8582 (2.0271)	Prec@1 47.500 (47.662)	Prec@5 82.500 (78.183)
Epoch: [45][4530/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1762 (2.0270)	Prec@1 43.000 (47.661)	Prec@5 74.000 (78.184)
Epoch: [45][4540/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9176 (2.0270)	Prec@1 47.500 (47.659)	Prec@5 80.000 (78.183)
Epoch: [45][4550/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.9891 (2.0271)	Prec@1 47.500 (47.657)	Prec@5 76.500 (78.181)
Epoch: [45][4560/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2493 (2.0271)	Prec@1 44.500 (47.656)	Prec@5 75.000 (78.180)
Epoch: [45][4570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0453 (2.0272)	Prec@1 50.500 (47.655)	Prec@5 77.500 (78.176)
Epoch: [45][4580/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2052 (2.0272)	Prec@1 43.000 (47.654)	Prec@5 73.000 (78.175)
Epoch: [45][4590/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0297 (2.0273)	Prec@1 50.000 (47.652)	Prec@5 74.000 (78.171)
Epoch: [45][4600/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0222 (2.0272)	Prec@1 44.000 (47.653)	Prec@5 78.000 (78.173)
Epoch: [45][4610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9857 (2.0272)	Prec@1 45.000 (47.654)	Prec@5 78.500 (78.174)
Epoch: [45][4620/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.0006 (2.0273)	Prec@1 51.000 (47.651)	Prec@5 80.000 (78.174)
Epoch: [45][4630/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1927 (2.0273)	Prec@1 44.000 (47.654)	Prec@5 75.000 (78.174)
Epoch: [45][4640/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 2.1831 (2.0273)	Prec@1 44.500 (47.653)	Prec@5 74.000 (78.171)
Epoch: [45][4650/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.0496 (2.0273)	Prec@1 47.500 (47.653)	Prec@5 77.000 (78.172)
Epoch: [45][4660/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9452 (2.0274)	Prec@1 50.500 (47.650)	Prec@5 81.000 (78.169)
Epoch: [45][4670/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7877 (2.0273)	Prec@1 50.000 (47.651)	Prec@5 82.000 (78.172)
Epoch: [45][4680/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0866 (2.0274)	Prec@1 48.500 (47.649)	Prec@5 75.500 (78.171)
Epoch: [45][4690/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 1.8727 (2.0274)	Prec@1 51.500 (47.647)	Prec@5 80.500 (78.173)
Epoch: [45][4700/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0959 (2.0275)	Prec@1 44.500 (47.645)	Prec@5 76.000 (78.169)
Epoch: [45][4710/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0018 (2.0275)	Prec@1 51.000 (47.648)	Prec@5 79.000 (78.169)
Epoch: [45][4720/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1062 (2.0277)	Prec@1 45.000 (47.642)	Prec@5 76.000 (78.167)
Epoch: [45][4730/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0466 (2.0278)	Prec@1 44.000 (47.640)	Prec@5 80.000 (78.166)
Epoch: [45][4740/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0982 (2.0278)	Prec@1 43.500 (47.638)	Prec@5 75.000 (78.167)
Epoch: [45][4750/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0266 (2.0278)	Prec@1 47.500 (47.639)	Prec@5 79.000 (78.168)
Epoch: [45][4760/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0772 (2.0277)	Prec@1 48.500 (47.640)	Prec@5 75.000 (78.167)
Epoch: [45][4770/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0787 (2.0278)	Prec@1 45.500 (47.638)	Prec@5 76.500 (78.165)
Epoch: [45][4780/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9300 (2.0278)	Prec@1 48.000 (47.638)	Prec@5 80.500 (78.168)
Epoch: [45][4790/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9051 (2.0278)	Prec@1 51.000 (47.642)	Prec@5 79.500 (78.168)
Epoch: [45][4800/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.7582 (2.0278)	Prec@1 53.500 (47.640)	Prec@5 85.000 (78.168)
Epoch: [45][4810/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9842 (2.0278)	Prec@1 51.500 (47.639)	Prec@5 78.500 (78.168)
Epoch: [45][4820/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8928 (2.0277)	Prec@1 53.500 (47.640)	Prec@5 78.500 (78.169)
Epoch: [45][4830/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0926 (2.0277)	Prec@1 46.000 (47.639)	Prec@5 79.500 (78.171)
Epoch: [45][4840/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1800 (2.0279)	Prec@1 48.000 (47.637)	Prec@5 72.500 (78.168)
Epoch: [45][4850/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1560 (2.0281)	Prec@1 48.000 (47.635)	Prec@5 73.500 (78.164)
Epoch: [45][4860/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1767 (2.0282)	Prec@1 44.000 (47.631)	Prec@5 72.500 (78.162)
Epoch: [45][4870/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0559 (2.0282)	Prec@1 47.000 (47.631)	Prec@5 75.000 (78.162)
Epoch: [45][4880/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1100 (2.0282)	Prec@1 50.000 (47.632)	Prec@5 74.000 (78.162)
Epoch: [45][4890/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1250 (2.0282)	Prec@1 48.500 (47.636)	Prec@5 73.000 (78.162)
Epoch: [45][4900/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0125 (2.0283)	Prec@1 45.500 (47.636)	Prec@5 81.500 (78.159)
Epoch: [45][4910/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9839 (2.0283)	Prec@1 47.500 (47.633)	Prec@5 81.500 (78.160)
Epoch: [45][4920/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.0662 (2.0284)	Prec@1 44.500 (47.631)	Prec@5 75.000 (78.157)
Epoch: [45][4930/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1161 (2.0286)	Prec@1 42.500 (47.625)	Prec@5 77.500 (78.154)
Epoch: [45][4940/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9266 (2.0287)	Prec@1 50.000 (47.624)	Prec@5 81.000 (78.153)
Epoch: [45][4950/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9935 (2.0288)	Prec@1 47.500 (47.619)	Prec@5 81.500 (78.154)
Epoch: [45][4960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9108 (2.0289)	Prec@1 50.000 (47.618)	Prec@5 81.000 (78.150)
Epoch: [45][4970/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 1.8039 (2.0290)	Prec@1 48.000 (47.617)	Prec@5 81.000 (78.149)
Epoch: [45][4980/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8773 (2.0290)	Prec@1 49.000 (47.617)	Prec@5 80.000 (78.148)
Epoch: [45][4990/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9396 (2.0290)	Prec@1 49.000 (47.616)	Prec@5 78.500 (78.148)
Epoch: [45][5000/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.0216 (2.0289)	Prec@1 50.000 (47.618)	Prec@5 78.500 (78.149)
Epoch: [45][5010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0405 (2.0289)	Prec@1 49.000 (47.620)	Prec@5 76.000 (78.149)
Epoch: [45][5020/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.1113 (2.0291)	Prec@1 48.000 (47.620)	Prec@5 76.000 (78.146)
Epoch: [45][5030/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.6216 (2.0291)	Prec@1 54.000 (47.617)	Prec@5 87.000 (78.146)
Epoch: [45][5040/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9175 (2.0290)	Prec@1 49.500 (47.620)	Prec@5 77.000 (78.148)
Epoch: [45][5050/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.9278 (2.0291)	Prec@1 51.000 (47.616)	Prec@5 80.500 (78.146)
Epoch: [45][5060/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8338 (2.0290)	Prec@1 51.000 (47.616)	Prec@5 83.000 (78.148)
Epoch: [45][5070/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9217 (2.0291)	Prec@1 53.000 (47.617)	Prec@5 78.500 (78.147)
Epoch: [45][5080/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.8703 (2.0291)	Prec@1 50.000 (47.618)	Prec@5 79.500 (78.144)
Epoch: [45][5090/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8982 (2.0291)	Prec@1 50.000 (47.618)	Prec@5 80.000 (78.145)
Epoch: [45][5100/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.9896 (2.0292)	Prec@1 50.000 (47.618)	Prec@5 78.500 (78.143)
Epoch: [45][5110/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0896 (2.0293)	Prec@1 46.500 (47.614)	Prec@5 78.500 (78.140)
Epoch: [45][5120/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8935 (2.0292)	Prec@1 48.500 (47.614)	Prec@5 81.500 (78.143)
Epoch: [45][5130/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.7709 (2.0291)	Prec@1 52.000 (47.616)	Prec@5 78.500 (78.145)
Epoch: [45][5140/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0888 (2.0293)	Prec@1 42.500 (47.614)	Prec@5 77.000 (78.140)
Epoch: [45][5150/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0586 (2.0294)	Prec@1 48.500 (47.610)	Prec@5 77.000 (78.138)
Epoch: [45][5160/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0005 (2.0294)	Prec@1 44.500 (47.608)	Prec@5 80.000 (78.136)
Epoch: [45][5170/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.2848 (2.0295)	Prec@1 42.000 (47.608)	Prec@5 74.500 (78.132)
Epoch: [45][5180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9659 (2.0294)	Prec@1 49.000 (47.611)	Prec@5 79.000 (78.133)
Epoch: [45][5190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8937 (2.0295)	Prec@1 50.500 (47.609)	Prec@5 79.000 (78.133)
Epoch: [45][5200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1665 (2.0296)	Prec@1 46.000 (47.606)	Prec@5 73.000 (78.130)
Epoch: [45][5210/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0817 (2.0295)	Prec@1 46.000 (47.606)	Prec@5 76.500 (78.132)
Epoch: [45][5220/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9076 (2.0294)	Prec@1 49.500 (47.608)	Prec@5 79.500 (78.132)
Epoch: [45][5230/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0847 (2.0295)	Prec@1 45.000 (47.606)	Prec@5 75.000 (78.131)
Epoch: [45][5240/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1074 (2.0297)	Prec@1 47.500 (47.604)	Prec@5 77.500 (78.128)
Epoch: [45][5250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0324 (2.0296)	Prec@1 43.500 (47.605)	Prec@5 78.000 (78.129)
Epoch: [45][5260/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1408 (2.0296)	Prec@1 42.500 (47.606)	Prec@5 74.500 (78.128)
Epoch: [45][5270/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2544 (2.0296)	Prec@1 45.000 (47.609)	Prec@5 75.000 (78.127)
Epoch: [45][5280/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.8735 (2.0296)	Prec@1 52.500 (47.611)	Prec@5 81.500 (78.126)
Epoch: [45][5290/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8839 (2.0296)	Prec@1 53.500 (47.609)	Prec@5 80.500 (78.125)
Epoch: [45][5300/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 2.0456 (2.0295)	Prec@1 48.500 (47.611)	Prec@5 77.000 (78.126)
Epoch: [45][5310/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1660 (2.0295)	Prec@1 44.500 (47.609)	Prec@5 74.000 (78.127)
Epoch: [45][5320/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 1.9219 (2.0294)	Prec@1 49.000 (47.607)	Prec@5 81.000 (78.128)
Epoch: [45][5330/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9862 (2.0295)	Prec@1 48.000 (47.608)	Prec@5 81.500 (78.127)
Epoch: [45][5340/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9458 (2.0296)	Prec@1 51.500 (47.606)	Prec@5 79.500 (78.123)
Epoch: [45][5350/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.0647 (2.0297)	Prec@1 47.500 (47.606)	Prec@5 77.500 (78.123)
Epoch: [45][5360/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0510 (2.0297)	Prec@1 49.000 (47.607)	Prec@5 80.000 (78.125)
Epoch: [45][5370/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2142 (2.0297)	Prec@1 43.000 (47.605)	Prec@5 73.500 (78.126)
Epoch: [45][5380/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.9190 (2.0299)	Prec@1 52.000 (47.599)	Prec@5 80.000 (78.123)
Epoch: [45][5390/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2344 (2.0300)	Prec@1 39.500 (47.597)	Prec@5 80.000 (78.124)
Epoch: [45][5400/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.8725 (2.0300)	Prec@1 48.500 (47.594)	Prec@5 82.000 (78.125)
Epoch: [45][5410/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9387 (2.0301)	Prec@1 52.500 (47.594)	Prec@5 74.500 (78.123)
Epoch: [45][5420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0751 (2.0301)	Prec@1 48.500 (47.594)	Prec@5 79.000 (78.122)
Epoch: [45][5430/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0948 (2.0301)	Prec@1 47.500 (47.594)	Prec@5 78.500 (78.124)
Epoch: [45][5440/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0686 (2.0301)	Prec@1 48.500 (47.594)	Prec@5 79.000 (78.126)
Epoch: [45][5450/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.1161 (2.0301)	Prec@1 47.000 (47.594)	Prec@5 75.000 (78.125)
Epoch: [45][5460/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0806 (2.0302)	Prec@1 47.500 (47.592)	Prec@5 76.500 (78.125)
Epoch: [45][5470/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0133 (2.0301)	Prec@1 47.500 (47.594)	Prec@5 76.500 (78.125)
Epoch: [45][5480/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.1374 (2.0301)	Prec@1 45.000 (47.594)	Prec@5 73.000 (78.125)
Epoch: [45][5490/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2440 (2.0300)	Prec@1 38.500 (47.594)	Prec@5 74.000 (78.127)
Epoch: [45][5500/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0909 (2.0300)	Prec@1 46.500 (47.597)	Prec@5 75.000 (78.127)
Epoch: [45][5510/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0052 (2.0301)	Prec@1 53.500 (47.598)	Prec@5 79.500 (78.126)
Epoch: [45][5520/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0654 (2.0302)	Prec@1 46.500 (47.594)	Prec@5 77.000 (78.124)
Epoch: [45][5530/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1065 (2.0301)	Prec@1 43.500 (47.596)	Prec@5 75.500 (78.123)
Epoch: [45][5540/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1831 (2.0302)	Prec@1 42.000 (47.593)	Prec@5 72.500 (78.120)
Epoch: [45][5550/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0933 (2.0301)	Prec@1 45.500 (47.597)	Prec@5 78.500 (78.123)
Epoch: [45][5560/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.9039 (2.0301)	Prec@1 52.500 (47.596)	Prec@5 81.000 (78.124)
Epoch: [45][5570/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1109 (2.0302)	Prec@1 43.500 (47.595)	Prec@5 76.000 (78.122)
Epoch: [45][5580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0093 (2.0301)	Prec@1 50.500 (47.595)	Prec@5 77.000 (78.123)
Epoch: [45][5590/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.1466 (2.0302)	Prec@1 45.000 (47.594)	Prec@5 73.000 (78.123)
Epoch: [45][5600/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3161 (2.0302)	Prec@1 40.500 (47.593)	Prec@5 74.500 (78.122)
Epoch: [45][5610/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0819 (2.0301)	Prec@1 46.500 (47.596)	Prec@5 78.500 (78.123)
Epoch: [45][5620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0804 (2.0301)	Prec@1 43.000 (47.594)	Prec@5 79.000 (78.121)
Epoch: [45][5630/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.0418 (2.0301)	Prec@1 45.000 (47.592)	Prec@5 77.000 (78.121)
Epoch: [45][5640/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.0032 (2.0302)	Prec@1 47.500 (47.589)	Prec@5 78.500 (78.120)
Epoch: [45][5650/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0025 (2.0303)	Prec@1 43.000 (47.586)	Prec@5 81.500 (78.118)
Epoch: [45][5660/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.1068 (2.0303)	Prec@1 45.000 (47.585)	Prec@5 78.000 (78.119)
Epoch: [45][5670/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0360 (2.0303)	Prec@1 51.000 (47.583)	Prec@5 77.000 (78.116)
Epoch: [45][5680/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 2.0913 (2.0304)	Prec@1 46.000 (47.584)	Prec@5 73.500 (78.114)
Epoch: [45][5690/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0063 (2.0304)	Prec@1 48.000 (47.580)	Prec@5 80.500 (78.113)
Epoch: [45][5700/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8797 (2.0305)	Prec@1 48.500 (47.580)	Prec@5 82.000 (78.114)
Epoch: [45][5710/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0758 (2.0304)	Prec@1 44.500 (47.583)	Prec@5 75.500 (78.115)
Epoch: [45][5720/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0652 (2.0305)	Prec@1 51.500 (47.584)	Prec@5 79.000 (78.113)
Epoch: [45][5730/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.2341 (2.0306)	Prec@1 45.500 (47.579)	Prec@5 73.500 (78.110)
Epoch: [45][5740/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0375 (2.0307)	Prec@1 51.500 (47.578)	Prec@5 77.000 (78.108)
Epoch: [45][5750/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0892 (2.0309)	Prec@1 50.500 (47.577)	Prec@5 79.500 (78.106)
Epoch: [45][5760/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1811 (2.0309)	Prec@1 48.000 (47.577)	Prec@5 77.000 (78.105)
Epoch: [45][5770/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2304 (2.0311)	Prec@1 41.000 (47.575)	Prec@5 74.500 (78.103)
Epoch: [45][5780/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9826 (2.0310)	Prec@1 54.500 (47.578)	Prec@5 79.000 (78.105)
Epoch: [45][5790/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1948 (2.0311)	Prec@1 44.000 (47.578)	Prec@5 76.500 (78.102)
Epoch: [45][5800/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8796 (2.0311)	Prec@1 54.000 (47.578)	Prec@5 81.500 (78.105)
Epoch: [45][5810/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0159 (2.0312)	Prec@1 49.000 (47.577)	Prec@5 76.000 (78.102)
Epoch: [45][5820/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1675 (2.0312)	Prec@1 48.500 (47.579)	Prec@5 73.500 (78.102)
Epoch: [45][5830/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0448 (2.0311)	Prec@1 48.500 (47.580)	Prec@5 77.500 (78.102)
Epoch: [45][5840/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3036 (2.0312)	Prec@1 41.500 (47.577)	Prec@5 72.500 (78.101)
Epoch: [45][5850/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8765 (2.0312)	Prec@1 53.500 (47.579)	Prec@5 81.500 (78.100)
Epoch: [45][5860/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1387 (2.0313)	Prec@1 45.000 (47.577)	Prec@5 76.000 (78.099)
Epoch: [45][5870/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1640 (2.0313)	Prec@1 43.500 (47.576)	Prec@5 73.500 (78.099)
Epoch: [45][5880/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.0861 (2.0312)	Prec@1 43.500 (47.578)	Prec@5 80.500 (78.100)
Epoch: [45][5890/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0485 (2.0311)	Prec@1 50.000 (47.580)	Prec@5 79.000 (78.103)
Epoch: [45][5900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0891 (2.0312)	Prec@1 50.000 (47.576)	Prec@5 77.000 (78.101)
Epoch: [45][5910/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.2255 (2.0312)	Prec@1 42.000 (47.578)	Prec@5 74.000 (78.101)
Epoch: [45][5920/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0032 (2.0312)	Prec@1 45.500 (47.579)	Prec@5 82.000 (78.101)
Epoch: [45][5930/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1031 (2.0312)	Prec@1 45.500 (47.581)	Prec@5 77.000 (78.101)
Epoch: [45][5940/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.8789 (2.0313)	Prec@1 50.000 (47.579)	Prec@5 82.000 (78.100)
Epoch: [45][5950/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2360 (2.0314)	Prec@1 45.000 (47.580)	Prec@5 76.000 (78.100)
Epoch: [45][5960/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 1.9459 (2.0313)	Prec@1 47.500 (47.581)	Prec@5 78.500 (78.100)
Epoch: [45][5970/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.1400 (2.0313)	Prec@1 45.500 (47.581)	Prec@5 78.500 (78.099)
Epoch: [45][5980/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1007 (2.0313)	Prec@1 44.000 (47.579)	Prec@5 79.500 (78.099)
Epoch: [45][5990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8861 (2.0313)	Prec@1 50.000 (47.582)	Prec@5 78.000 (78.100)
Epoch: [45][6000/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0362 (2.0313)	Prec@1 47.000 (47.581)	Prec@5 81.000 (78.101)
Epoch: [45][6010/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.2043 (2.0313)	Prec@1 41.000 (47.584)	Prec@5 75.000 (78.103)
Epoch: [45][6020/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8919 (2.0312)	Prec@1 53.500 (47.584)	Prec@5 78.000 (78.103)
Epoch: [45][6030/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9232 (2.0312)	Prec@1 56.500 (47.584)	Prec@5 76.500 (78.102)
Epoch: [45][6040/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8248 (2.0312)	Prec@1 48.500 (47.585)	Prec@5 80.000 (78.102)
Epoch: [45][6050/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0095 (2.0313)	Prec@1 46.000 (47.582)	Prec@5 80.000 (78.101)
Epoch: [45][6060/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.7970 (2.0313)	Prec@1 53.500 (47.581)	Prec@5 82.000 (78.102)
Epoch: [45][6070/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9294 (2.0312)	Prec@1 44.500 (47.582)	Prec@5 77.500 (78.104)
Epoch: [45][6080/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2254 (2.0312)	Prec@1 43.000 (47.581)	Prec@5 74.500 (78.103)
Epoch: [45][6090/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.1475 (2.0314)	Prec@1 44.500 (47.578)	Prec@5 73.500 (78.100)
Epoch: [45][6100/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.0971 (2.0314)	Prec@1 44.000 (47.578)	Prec@5 76.500 (78.100)
Epoch: [45][6110/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8786 (2.0314)	Prec@1 50.500 (47.578)	Prec@5 78.500 (78.100)
Epoch: [45][6120/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1216 (2.0314)	Prec@1 44.500 (47.576)	Prec@5 77.500 (78.099)
Epoch: [45][6130/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0661 (2.0315)	Prec@1 49.000 (47.573)	Prec@5 81.000 (78.100)
Epoch: [45][6140/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1321 (2.0315)	Prec@1 46.500 (47.574)	Prec@5 73.500 (78.102)
Epoch: [45][6150/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.2481 (2.0315)	Prec@1 43.500 (47.573)	Prec@5 74.000 (78.101)
Epoch: [45][6160/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0563 (2.0315)	Prec@1 51.500 (47.575)	Prec@5 71.500 (78.100)
Epoch: [45][6170/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8433 (2.0315)	Prec@1 50.500 (47.577)	Prec@5 79.500 (78.099)
Epoch: [45][6180/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2688 (2.0317)	Prec@1 46.000 (47.573)	Prec@5 75.000 (78.096)
Epoch: [45][6190/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3032 (2.0317)	Prec@1 44.500 (47.574)	Prec@5 68.500 (78.095)
Epoch: [45][6200/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0759 (2.0316)	Prec@1 44.500 (47.574)	Prec@5 77.000 (78.096)
Epoch: [45][6210/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9523 (2.0316)	Prec@1 46.500 (47.576)	Prec@5 81.000 (78.097)
Epoch: [45][6220/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.8879 (2.0315)	Prec@1 50.500 (47.578)	Prec@5 79.500 (78.099)
Epoch: [45][6230/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1546 (2.0316)	Prec@1 42.000 (47.574)	Prec@5 78.500 (78.098)
Epoch: [45][6240/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.9177 (2.0315)	Prec@1 52.000 (47.577)	Prec@5 77.000 (78.100)
Epoch: [45][6250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1130 (2.0315)	Prec@1 44.000 (47.577)	Prec@5 75.500 (78.101)
Epoch: [45][6260/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.1503 (2.0316)	Prec@1 45.500 (47.575)	Prec@5 76.000 (78.099)
Epoch: [45][6270/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9444 (2.0316)	Prec@1 48.000 (47.577)	Prec@5 80.000 (78.099)
Epoch: [45][6280/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9965 (2.0316)	Prec@1 43.500 (47.577)	Prec@5 80.000 (78.101)
Epoch: [45][6290/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 1.9627 (2.0316)	Prec@1 47.000 (47.574)	Prec@5 78.000 (78.101)
Epoch: [45][6300/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8533 (2.0317)	Prec@1 53.000 (47.573)	Prec@5 83.000 (78.098)
Epoch: [45][6310/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8467 (2.0318)	Prec@1 54.000 (47.573)	Prec@5 83.500 (78.098)
Epoch: [45][6320/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9483 (2.0317)	Prec@1 47.000 (47.575)	Prec@5 79.500 (78.100)
Epoch: [45][6330/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.3403 (2.0318)	Prec@1 42.500 (47.573)	Prec@5 73.000 (78.098)
Epoch: [45][6340/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 1.9380 (2.0317)	Prec@1 48.500 (47.573)	Prec@5 80.000 (78.098)
Epoch: [45][6350/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.9874 (2.0318)	Prec@1 47.500 (47.572)	Prec@5 79.500 (78.098)
Epoch: [45][6360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0669 (2.0318)	Prec@1 48.500 (47.572)	Prec@5 76.500 (78.097)
Epoch: [45][6370/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9830 (2.0318)	Prec@1 46.000 (47.571)	Prec@5 81.000 (78.097)
Epoch: [45][6380/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0702 (2.0318)	Prec@1 51.000 (47.572)	Prec@5 75.500 (78.096)
Epoch: [45][6390/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.3389 (2.0319)	Prec@1 45.000 (47.571)	Prec@5 71.000 (78.094)
Epoch: [45][6400/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9493 (2.0318)	Prec@1 51.500 (47.572)	Prec@5 76.000 (78.094)
Epoch: [45][6410/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9012 (2.0317)	Prec@1 51.500 (47.575)	Prec@5 80.000 (78.095)
Epoch: [45][6420/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0479 (2.0317)	Prec@1 49.500 (47.579)	Prec@5 80.000 (78.092)
Epoch: [45][6430/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.1091 (2.0318)	Prec@1 51.500 (47.580)	Prec@5 79.500 (78.093)
Epoch: [45][6440/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.2191 (2.0318)	Prec@1 47.500 (47.580)	Prec@5 73.500 (78.094)
Epoch: [45][6450/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.9975 (2.0317)	Prec@1 48.000 (47.581)	Prec@5 79.000 (78.093)
Epoch: [45][6460/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0897 (2.0318)	Prec@1 46.500 (47.579)	Prec@5 78.500 (78.093)
Epoch: [45][6470/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0994 (2.0318)	Prec@1 46.500 (47.577)	Prec@5 76.000 (78.094)
Epoch: [45][6480/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9156 (2.0317)	Prec@1 44.500 (47.580)	Prec@5 80.000 (78.094)
Epoch: [45][6490/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0496 (2.0317)	Prec@1 51.000 (47.580)	Prec@5 78.500 (78.096)
Epoch: [45][6500/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.1485 (2.0318)	Prec@1 44.000 (47.581)	Prec@5 77.000 (78.096)
Epoch: [45][6510/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2312 (2.0318)	Prec@1 43.000 (47.582)	Prec@5 75.500 (78.097)
Epoch: [45][6520/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2094 (2.0318)	Prec@1 44.000 (47.584)	Prec@5 74.500 (78.097)
Epoch: [45][6530/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9455 (2.0316)	Prec@1 51.000 (47.586)	Prec@5 79.000 (78.099)
Epoch: [45][6540/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9817 (2.0317)	Prec@1 45.500 (47.585)	Prec@5 77.500 (78.098)
Epoch: [45][6550/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9240 (2.0317)	Prec@1 50.000 (47.584)	Prec@5 79.500 (78.098)
Epoch: [45][6560/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9609 (2.0318)	Prec@1 47.000 (47.582)	Prec@5 77.500 (78.097)
Epoch: [45][6570/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8170 (2.0317)	Prec@1 49.500 (47.584)	Prec@5 80.000 (78.098)
Epoch: [45][6580/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1028 (2.0318)	Prec@1 49.500 (47.583)	Prec@5 77.000 (78.096)
Epoch: [45][6590/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9812 (2.0318)	Prec@1 48.000 (47.581)	Prec@5 79.000 (78.096)
Epoch: [45][6600/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.7942 (2.0318)	Prec@1 53.500 (47.582)	Prec@5 83.500 (78.095)
Epoch: [45][6610/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9594 (2.0319)	Prec@1 47.000 (47.581)	Prec@5 77.500 (78.093)
Epoch: [45][6620/9018]	Time 0.754 (0.615)	Data 0.001 (0.001)	Loss 1.9020 (2.0320)	Prec@1 50.500 (47.578)	Prec@5 83.500 (78.093)
Epoch: [45][6630/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0409 (2.0321)	Prec@1 48.000 (47.577)	Prec@5 77.000 (78.091)
Epoch: [45][6640/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9438 (2.0320)	Prec@1 52.000 (47.579)	Prec@5 76.000 (78.090)
Epoch: [45][6650/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.7238 (2.0320)	Prec@1 58.000 (47.580)	Prec@5 81.500 (78.090)
Epoch: [45][6660/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0443 (2.0320)	Prec@1 51.000 (47.580)	Prec@5 78.500 (78.091)
Epoch: [45][6670/9018]	Time 0.747 (0.615)	Data 0.001 (0.001)	Loss 1.9606 (2.0319)	Prec@1 47.500 (47.580)	Prec@5 80.500 (78.093)
Epoch: [45][6680/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0221 (2.0320)	Prec@1 50.000 (47.575)	Prec@5 77.500 (78.091)
Epoch: [45][6690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9426 (2.0320)	Prec@1 52.500 (47.576)	Prec@5 79.500 (78.090)
Epoch: [45][6700/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8011 (2.0321)	Prec@1 51.500 (47.575)	Prec@5 84.500 (78.089)
Epoch: [45][6710/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1616 (2.0321)	Prec@1 40.000 (47.573)	Prec@5 76.000 (78.088)
Epoch: [45][6720/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1075 (2.0321)	Prec@1 48.000 (47.574)	Prec@5 78.500 (78.086)
Epoch: [45][6730/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0552 (2.0321)	Prec@1 43.000 (47.574)	Prec@5 75.000 (78.088)
Epoch: [45][6740/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2338 (2.0321)	Prec@1 45.500 (47.575)	Prec@5 73.500 (78.088)
Epoch: [45][6750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0011 (2.0321)	Prec@1 47.000 (47.575)	Prec@5 76.000 (78.087)
Epoch: [45][6760/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9490 (2.0321)	Prec@1 46.000 (47.575)	Prec@5 79.000 (78.087)
Epoch: [45][6770/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1203 (2.0322)	Prec@1 43.000 (47.573)	Prec@5 74.500 (78.085)
Epoch: [45][6780/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2106 (2.0323)	Prec@1 43.500 (47.571)	Prec@5 74.500 (78.084)
Epoch: [45][6790/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1911 (2.0322)	Prec@1 45.000 (47.570)	Prec@5 78.000 (78.084)
Epoch: [45][6800/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2880 (2.0322)	Prec@1 43.500 (47.572)	Prec@5 71.500 (78.086)
Epoch: [45][6810/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.0066 (2.0322)	Prec@1 50.000 (47.571)	Prec@5 75.000 (78.087)
Epoch: [45][6820/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.3050 (2.0324)	Prec@1 42.500 (47.566)	Prec@5 74.000 (78.085)
Epoch: [45][6830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9689 (2.0324)	Prec@1 46.000 (47.566)	Prec@5 79.000 (78.086)
Epoch: [45][6840/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.7894 (2.0323)	Prec@1 56.000 (47.569)	Prec@5 78.000 (78.086)
Epoch: [45][6850/9018]	Time 0.602 (0.615)	Data 0.002 (0.001)	Loss 2.0742 (2.0322)	Prec@1 49.500 (47.572)	Prec@5 75.500 (78.087)
Epoch: [45][6860/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0145 (2.0323)	Prec@1 44.000 (47.569)	Prec@5 80.000 (78.087)
Epoch: [45][6870/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0871 (2.0324)	Prec@1 48.500 (47.569)	Prec@5 76.500 (78.086)
Epoch: [45][6880/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1039 (2.0323)	Prec@1 47.000 (47.571)	Prec@5 74.000 (78.086)
Epoch: [45][6890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1060 (2.0324)	Prec@1 47.500 (47.571)	Prec@5 74.500 (78.085)
Epoch: [45][6900/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.8410 (2.0324)	Prec@1 50.000 (47.571)	Prec@5 81.000 (78.085)
Epoch: [45][6910/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0311 (2.0323)	Prec@1 47.000 (47.574)	Prec@5 79.000 (78.085)
Epoch: [45][6920/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1415 (2.0323)	Prec@1 43.000 (47.574)	Prec@5 79.000 (78.085)
Epoch: [45][6930/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1488 (2.0323)	Prec@1 47.000 (47.573)	Prec@5 77.500 (78.084)
Epoch: [45][6940/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7599 (2.0324)	Prec@1 55.000 (47.574)	Prec@5 82.500 (78.082)
Epoch: [45][6950/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.0396 (2.0323)	Prec@1 48.500 (47.576)	Prec@5 76.000 (78.084)
Epoch: [45][6960/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1090 (2.0324)	Prec@1 48.500 (47.576)	Prec@5 78.000 (78.082)
Epoch: [45][6970/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.3891 (2.0325)	Prec@1 44.000 (47.573)	Prec@5 74.500 (78.083)
Epoch: [45][6980/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0032 (2.0324)	Prec@1 54.500 (47.575)	Prec@5 80.500 (78.084)
Epoch: [45][6990/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1245 (2.0325)	Prec@1 43.500 (47.574)	Prec@5 77.000 (78.082)
Epoch: [45][7000/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 1.9285 (2.0326)	Prec@1 48.500 (47.573)	Prec@5 82.500 (78.081)
Epoch: [45][7010/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.1925 (2.0326)	Prec@1 48.500 (47.573)	Prec@5 74.500 (78.080)
Epoch: [45][7020/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0050 (2.0327)	Prec@1 42.500 (47.573)	Prec@5 79.000 (78.080)
Epoch: [45][7030/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2164 (2.0327)	Prec@1 44.000 (47.573)	Prec@5 76.000 (78.079)
Epoch: [45][7040/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0580 (2.0326)	Prec@1 49.000 (47.576)	Prec@5 76.000 (78.079)
Epoch: [45][7050/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0737 (2.0325)	Prec@1 44.500 (47.577)	Prec@5 76.500 (78.079)
Epoch: [45][7060/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.1061 (2.0326)	Prec@1 39.500 (47.574)	Prec@5 80.500 (78.080)
Epoch: [45][7070/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0887 (2.0327)	Prec@1 49.000 (47.571)	Prec@5 78.500 (78.080)
Epoch: [45][7080/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0245 (2.0327)	Prec@1 49.000 (47.572)	Prec@5 82.000 (78.079)
Epoch: [45][7090/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1844 (2.0327)	Prec@1 46.500 (47.572)	Prec@5 78.000 (78.081)
Epoch: [45][7100/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.9195 (2.0327)	Prec@1 48.000 (47.575)	Prec@5 80.000 (78.081)
Epoch: [45][7110/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8984 (2.0327)	Prec@1 56.000 (47.577)	Prec@5 76.500 (78.080)
Epoch: [45][7120/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.3288 (2.0327)	Prec@1 45.000 (47.578)	Prec@5 71.000 (78.078)
Epoch: [45][7130/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.3004 (2.0327)	Prec@1 40.000 (47.577)	Prec@5 74.000 (78.079)
Epoch: [45][7140/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1919 (2.0326)	Prec@1 45.500 (47.579)	Prec@5 77.000 (78.081)
Epoch: [45][7150/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.2271 (2.0327)	Prec@1 45.000 (47.579)	Prec@5 73.000 (78.081)
Epoch: [45][7160/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9593 (2.0327)	Prec@1 44.500 (47.578)	Prec@5 78.500 (78.081)
Epoch: [45][7170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9331 (2.0326)	Prec@1 47.500 (47.579)	Prec@5 79.500 (78.081)
Epoch: [45][7180/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.2055 (2.0327)	Prec@1 46.500 (47.577)	Prec@5 79.500 (78.080)
Epoch: [45][7190/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.0991 (2.0328)	Prec@1 45.000 (47.576)	Prec@5 78.000 (78.079)
Epoch: [45][7200/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0061 (2.0329)	Prec@1 44.500 (47.573)	Prec@5 82.500 (78.079)
Epoch: [45][7210/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0223 (2.0329)	Prec@1 47.500 (47.573)	Prec@5 79.500 (78.079)
Epoch: [45][7220/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9430 (2.0329)	Prec@1 46.500 (47.572)	Prec@5 82.000 (78.079)
Epoch: [45][7230/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.8568 (2.0329)	Prec@1 49.500 (47.571)	Prec@5 80.500 (78.080)
Epoch: [45][7240/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0030 (2.0329)	Prec@1 48.500 (47.569)	Prec@5 77.000 (78.080)
Epoch: [45][7250/9018]	Time 0.630 (0.615)	Data 0.004 (0.001)	Loss 2.1488 (2.0329)	Prec@1 49.000 (47.569)	Prec@5 72.500 (78.079)
Epoch: [45][7260/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8882 (2.0328)	Prec@1 47.000 (47.570)	Prec@5 80.000 (78.081)
Epoch: [45][7270/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0738 (2.0328)	Prec@1 47.000 (47.570)	Prec@5 81.500 (78.081)
Epoch: [45][7280/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.2953 (2.0329)	Prec@1 42.000 (47.569)	Prec@5 73.500 (78.080)
Epoch: [45][7290/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.8463 (2.0329)	Prec@1 51.000 (47.568)	Prec@5 82.000 (78.079)
Epoch: [45][7300/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1142 (2.0329)	Prec@1 43.500 (47.568)	Prec@5 79.000 (78.079)
Epoch: [45][7310/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.0633 (2.0330)	Prec@1 44.500 (47.566)	Prec@5 78.500 (78.076)
Epoch: [45][7320/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1950 (2.0330)	Prec@1 44.000 (47.564)	Prec@5 77.500 (78.076)
Epoch: [45][7330/9018]	Time 0.712 (0.615)	Data 0.001 (0.001)	Loss 2.0954 (2.0330)	Prec@1 44.000 (47.563)	Prec@5 74.500 (78.074)
Epoch: [45][7340/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0172 (2.0331)	Prec@1 49.000 (47.560)	Prec@5 77.000 (78.072)
Epoch: [45][7350/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2165 (2.0332)	Prec@1 47.000 (47.558)	Prec@5 75.000 (78.071)
Epoch: [45][7360/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1596 (2.0332)	Prec@1 44.000 (47.558)	Prec@5 74.000 (78.069)
Epoch: [45][7370/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0001 (2.0333)	Prec@1 50.000 (47.558)	Prec@5 75.500 (78.067)
Epoch: [45][7380/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2001 (2.0333)	Prec@1 41.000 (47.557)	Prec@5 76.000 (78.066)
Epoch: [45][7390/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0009 (2.0333)	Prec@1 46.000 (47.557)	Prec@5 78.000 (78.067)
Epoch: [45][7400/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0175 (2.0334)	Prec@1 48.500 (47.555)	Prec@5 78.500 (78.065)
Epoch: [45][7410/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1261 (2.0335)	Prec@1 46.000 (47.553)	Prec@5 74.500 (78.064)
Epoch: [45][7420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7900 (2.0334)	Prec@1 55.000 (47.554)	Prec@5 81.500 (78.066)
Epoch: [45][7430/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2824 (2.0334)	Prec@1 42.000 (47.552)	Prec@5 72.500 (78.065)
Epoch: [45][7440/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.1206 (2.0334)	Prec@1 50.000 (47.553)	Prec@5 79.000 (78.067)
Epoch: [45][7450/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.0601 (2.0335)	Prec@1 49.500 (47.550)	Prec@5 82.500 (78.067)
Epoch: [45][7460/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1096 (2.0336)	Prec@1 44.000 (47.548)	Prec@5 79.000 (78.065)
Epoch: [45][7470/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0698 (2.0336)	Prec@1 43.500 (47.548)	Prec@5 79.000 (78.064)
Epoch: [45][7480/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.9157 (2.0335)	Prec@1 49.500 (47.550)	Prec@5 78.000 (78.065)
Epoch: [45][7490/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0290 (2.0336)	Prec@1 49.500 (47.548)	Prec@5 76.500 (78.064)
Epoch: [45][7500/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0581 (2.0337)	Prec@1 46.000 (47.547)	Prec@5 78.500 (78.062)
Epoch: [45][7510/9018]	Time 0.601 (0.615)	Data 0.002 (0.001)	Loss 2.2859 (2.0337)	Prec@1 38.000 (47.546)	Prec@5 73.000 (78.061)
Epoch: [45][7520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9721 (2.0337)	Prec@1 50.000 (47.545)	Prec@5 77.500 (78.062)
Epoch: [45][7530/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0701 (2.0337)	Prec@1 47.000 (47.545)	Prec@5 77.000 (78.063)
Epoch: [45][7540/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0790 (2.0337)	Prec@1 45.500 (47.542)	Prec@5 78.000 (78.062)
Epoch: [45][7550/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1646 (2.0338)	Prec@1 45.000 (47.543)	Prec@5 73.500 (78.061)
Epoch: [45][7560/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2200 (2.0338)	Prec@1 46.000 (47.543)	Prec@5 80.000 (78.061)
Epoch: [45][7570/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 2.0933 (2.0338)	Prec@1 45.000 (47.543)	Prec@5 77.500 (78.060)
Epoch: [45][7580/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.0347 (2.0339)	Prec@1 49.000 (47.544)	Prec@5 75.500 (78.060)
Epoch: [45][7590/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.0136 (2.0338)	Prec@1 45.000 (47.544)	Prec@5 76.500 (78.061)
Epoch: [45][7600/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8469 (2.0338)	Prec@1 51.500 (47.545)	Prec@5 81.500 (78.059)
Epoch: [45][7610/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.0818 (2.0339)	Prec@1 47.000 (47.544)	Prec@5 75.500 (78.057)
Epoch: [45][7620/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0949 (2.0339)	Prec@1 45.500 (47.545)	Prec@5 77.000 (78.058)
Epoch: [45][7630/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8945 (2.0339)	Prec@1 52.000 (47.546)	Prec@5 79.500 (78.059)
Epoch: [45][7640/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0899 (2.0340)	Prec@1 42.500 (47.544)	Prec@5 79.000 (78.057)
Epoch: [45][7650/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.9320 (2.0340)	Prec@1 47.500 (47.546)	Prec@5 81.500 (78.058)
Epoch: [45][7660/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 2.1837 (2.0340)	Prec@1 49.500 (47.545)	Prec@5 72.500 (78.056)
Epoch: [45][7670/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9428 (2.0340)	Prec@1 51.500 (47.544)	Prec@5 79.000 (78.056)
Epoch: [45][7680/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0181 (2.0341)	Prec@1 49.000 (47.541)	Prec@5 79.500 (78.052)
Epoch: [45][7690/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9109 (2.0341)	Prec@1 48.500 (47.541)	Prec@5 78.500 (78.052)
Epoch: [45][7700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9622 (2.0342)	Prec@1 49.500 (47.539)	Prec@5 80.000 (78.052)
Epoch: [45][7710/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9479 (2.0342)	Prec@1 49.000 (47.539)	Prec@5 82.000 (78.052)
Epoch: [45][7720/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1504 (2.0342)	Prec@1 46.000 (47.539)	Prec@5 74.000 (78.052)
Epoch: [45][7730/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8306 (2.0342)	Prec@1 55.000 (47.540)	Prec@5 81.000 (78.052)
Epoch: [45][7740/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0961 (2.0342)	Prec@1 45.500 (47.542)	Prec@5 76.000 (78.051)
Epoch: [45][7750/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1283 (2.0343)	Prec@1 49.000 (47.543)	Prec@5 76.500 (78.050)
Epoch: [45][7760/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.8554 (2.0342)	Prec@1 52.000 (47.544)	Prec@5 81.000 (78.052)
Epoch: [45][7770/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.8555 (2.0343)	Prec@1 51.000 (47.542)	Prec@5 81.000 (78.049)
Epoch: [45][7780/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0708 (2.0344)	Prec@1 47.000 (47.540)	Prec@5 78.000 (78.048)
Epoch: [45][7790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0236 (2.0344)	Prec@1 44.000 (47.537)	Prec@5 81.000 (78.046)
Epoch: [45][7800/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0344 (2.0344)	Prec@1 51.500 (47.540)	Prec@5 78.000 (78.044)
Epoch: [45][7810/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.0298 (2.0345)	Prec@1 47.000 (47.539)	Prec@5 78.500 (78.045)
Epoch: [45][7820/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0799 (2.0346)	Prec@1 44.000 (47.535)	Prec@5 78.000 (78.042)
Epoch: [45][7830/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0029 (2.0345)	Prec@1 50.500 (47.536)	Prec@5 76.000 (78.043)
Epoch: [45][7840/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1477 (2.0346)	Prec@1 43.000 (47.533)	Prec@5 77.000 (78.043)
Epoch: [45][7850/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0926 (2.0346)	Prec@1 51.000 (47.533)	Prec@5 74.500 (78.044)
Epoch: [45][7860/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1278 (2.0346)	Prec@1 45.500 (47.534)	Prec@5 79.500 (78.044)
Epoch: [45][7870/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.1054 (2.0346)	Prec@1 44.500 (47.534)	Prec@5 77.500 (78.042)
Epoch: [45][7880/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9456 (2.0346)	Prec@1 51.500 (47.536)	Prec@5 81.500 (78.043)
Epoch: [45][7890/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 1.8986 (2.0347)	Prec@1 49.500 (47.535)	Prec@5 81.000 (78.042)
Epoch: [45][7900/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1643 (2.0347)	Prec@1 40.500 (47.534)	Prec@5 76.000 (78.042)
Epoch: [45][7910/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2139 (2.0347)	Prec@1 44.000 (47.536)	Prec@5 73.500 (78.041)
Epoch: [45][7920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1141 (2.0346)	Prec@1 45.500 (47.538)	Prec@5 76.000 (78.042)
Epoch: [45][7930/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0041 (2.0346)	Prec@1 45.000 (47.535)	Prec@5 76.000 (78.042)
Epoch: [45][7940/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.0642 (2.0347)	Prec@1 44.000 (47.534)	Prec@5 74.500 (78.040)
Epoch: [45][7950/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0548 (2.0347)	Prec@1 48.500 (47.535)	Prec@5 80.000 (78.040)
Epoch: [45][7960/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0861 (2.0347)	Prec@1 45.500 (47.534)	Prec@5 81.500 (78.038)
Epoch: [45][7970/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.3480 (2.0348)	Prec@1 39.000 (47.533)	Prec@5 77.500 (78.037)
Epoch: [45][7980/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0713 (2.0348)	Prec@1 47.000 (47.532)	Prec@5 80.000 (78.037)
Epoch: [45][7990/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.8205 (2.0348)	Prec@1 49.500 (47.532)	Prec@5 80.000 (78.036)
Epoch: [45][8000/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8965 (2.0349)	Prec@1 50.500 (47.530)	Prec@5 80.000 (78.033)
Epoch: [45][8010/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0401 (2.0350)	Prec@1 47.500 (47.528)	Prec@5 74.500 (78.031)
Epoch: [45][8020/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0310 (2.0351)	Prec@1 46.000 (47.527)	Prec@5 80.000 (78.029)
Epoch: [45][8030/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 1.9540 (2.0351)	Prec@1 48.000 (47.526)	Prec@5 83.500 (78.029)
Epoch: [45][8040/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.0913 (2.0352)	Prec@1 49.500 (47.524)	Prec@5 77.500 (78.027)
Epoch: [45][8050/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 1.9335 (2.0352)	Prec@1 44.500 (47.524)	Prec@5 81.500 (78.027)
Epoch: [45][8060/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9357 (2.0352)	Prec@1 50.500 (47.524)	Prec@5 81.000 (78.027)
Epoch: [45][8070/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1144 (2.0352)	Prec@1 45.500 (47.525)	Prec@5 76.000 (78.029)
Epoch: [45][8080/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0931 (2.0352)	Prec@1 43.000 (47.522)	Prec@5 78.500 (78.028)
Epoch: [45][8090/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9156 (2.0353)	Prec@1 50.000 (47.522)	Prec@5 80.000 (78.026)
Epoch: [45][8100/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.9463 (2.0353)	Prec@1 48.000 (47.521)	Prec@5 81.000 (78.026)
Epoch: [45][8110/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1300 (2.0352)	Prec@1 45.000 (47.523)	Prec@5 75.500 (78.029)
Epoch: [45][8120/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8232 (2.0352)	Prec@1 50.000 (47.522)	Prec@5 83.000 (78.029)
Epoch: [45][8130/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1362 (2.0352)	Prec@1 50.000 (47.524)	Prec@5 76.500 (78.028)
Epoch: [45][8140/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1519 (2.0351)	Prec@1 46.000 (47.527)	Prec@5 74.500 (78.030)
Epoch: [45][8150/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0093 (2.0351)	Prec@1 49.500 (47.527)	Prec@5 73.500 (78.031)
Epoch: [45][8160/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1150 (2.0351)	Prec@1 47.500 (47.526)	Prec@5 77.000 (78.031)
Epoch: [45][8170/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0516 (2.0352)	Prec@1 48.500 (47.526)	Prec@5 76.000 (78.030)
Epoch: [45][8180/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.2640 (2.0352)	Prec@1 44.500 (47.524)	Prec@5 76.000 (78.029)
Epoch: [45][8190/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0701 (2.0353)	Prec@1 48.000 (47.524)	Prec@5 78.000 (78.026)
Epoch: [45][8200/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.2559 (2.0353)	Prec@1 42.500 (47.523)	Prec@5 74.500 (78.027)
Epoch: [45][8210/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0981 (2.0354)	Prec@1 44.000 (47.522)	Prec@5 78.500 (78.025)
Epoch: [45][8220/9018]	Time 0.755 (0.615)	Data 0.001 (0.001)	Loss 1.9446 (2.0354)	Prec@1 51.000 (47.521)	Prec@5 78.500 (78.023)
Epoch: [45][8230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2121 (2.0355)	Prec@1 45.000 (47.520)	Prec@5 76.000 (78.021)
Epoch: [45][8240/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2953 (2.0355)	Prec@1 41.000 (47.520)	Prec@5 72.500 (78.022)
Epoch: [45][8250/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1122 (2.0355)	Prec@1 44.500 (47.517)	Prec@5 77.500 (78.022)
Epoch: [45][8260/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9608 (2.0355)	Prec@1 47.500 (47.517)	Prec@5 81.000 (78.022)
Epoch: [45][8270/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 1.8885 (2.0355)	Prec@1 49.000 (47.521)	Prec@5 79.500 (78.023)
Epoch: [45][8280/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0908 (2.0355)	Prec@1 46.500 (47.521)	Prec@5 78.500 (78.024)
Epoch: [45][8290/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1649 (2.0354)	Prec@1 46.000 (47.522)	Prec@5 76.500 (78.024)
Epoch: [45][8300/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0077 (2.0355)	Prec@1 49.000 (47.522)	Prec@5 76.500 (78.022)
Epoch: [45][8310/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2140 (2.0355)	Prec@1 45.000 (47.521)	Prec@5 72.000 (78.021)
Epoch: [45][8320/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8250 (2.0355)	Prec@1 54.000 (47.521)	Prec@5 83.000 (78.022)
Epoch: [45][8330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0099 (2.0355)	Prec@1 52.500 (47.522)	Prec@5 77.500 (78.021)
Epoch: [45][8340/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1293 (2.0355)	Prec@1 49.500 (47.522)	Prec@5 75.000 (78.021)
Epoch: [45][8350/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2488 (2.0355)	Prec@1 46.500 (47.523)	Prec@5 75.500 (78.023)
Epoch: [45][8360/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0601 (2.0354)	Prec@1 45.500 (47.525)	Prec@5 79.500 (78.024)
Epoch: [45][8370/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2253 (2.0355)	Prec@1 46.000 (47.523)	Prec@5 74.000 (78.023)
Epoch: [45][8380/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0333 (2.0354)	Prec@1 47.500 (47.523)	Prec@5 78.500 (78.023)
Epoch: [45][8390/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9482 (2.0354)	Prec@1 46.000 (47.523)	Prec@5 84.500 (78.023)
Epoch: [45][8400/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1599 (2.0354)	Prec@1 50.500 (47.523)	Prec@5 73.000 (78.022)
Epoch: [45][8410/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0594 (2.0354)	Prec@1 49.500 (47.523)	Prec@5 80.000 (78.023)
Epoch: [45][8420/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9914 (2.0355)	Prec@1 47.500 (47.522)	Prec@5 82.000 (78.023)
Epoch: [45][8430/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0462 (2.0355)	Prec@1 46.500 (47.520)	Prec@5 78.500 (78.025)
Epoch: [45][8440/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1075 (2.0355)	Prec@1 46.500 (47.518)	Prec@5 77.000 (78.026)
Epoch: [45][8450/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0760 (2.0355)	Prec@1 47.500 (47.519)	Prec@5 76.000 (78.026)
Epoch: [45][8460/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.8786 (2.0354)	Prec@1 52.000 (47.520)	Prec@5 81.000 (78.026)
Epoch: [45][8470/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8082 (2.0354)	Prec@1 53.000 (47.520)	Prec@5 83.500 (78.027)
Epoch: [45][8480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0743 (2.0355)	Prec@1 46.500 (47.518)	Prec@5 76.000 (78.027)
Epoch: [45][8490/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9239 (2.0355)	Prec@1 49.000 (47.517)	Prec@5 83.500 (78.028)
Epoch: [45][8500/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1202 (2.0355)	Prec@1 42.000 (47.515)	Prec@5 77.000 (78.028)
Epoch: [45][8510/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2278 (2.0355)	Prec@1 43.000 (47.514)	Prec@5 73.000 (78.027)
Epoch: [45][8520/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9289 (2.0354)	Prec@1 48.000 (47.516)	Prec@5 80.000 (78.028)
Epoch: [45][8530/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.3148 (2.0355)	Prec@1 49.000 (47.516)	Prec@5 72.000 (78.027)
Epoch: [45][8540/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1206 (2.0355)	Prec@1 47.500 (47.515)	Prec@5 75.500 (78.027)
Epoch: [45][8550/9018]	Time 0.767 (0.615)	Data 0.001 (0.001)	Loss 1.8529 (2.0356)	Prec@1 51.500 (47.514)	Prec@5 79.500 (78.024)
Epoch: [45][8560/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9874 (2.0356)	Prec@1 48.500 (47.513)	Prec@5 80.000 (78.024)
Epoch: [45][8570/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0132 (2.0356)	Prec@1 47.000 (47.514)	Prec@5 76.500 (78.023)
Epoch: [45][8580/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8491 (2.0356)	Prec@1 51.500 (47.514)	Prec@5 82.500 (78.024)
Epoch: [45][8590/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0189 (2.0356)	Prec@1 46.000 (47.515)	Prec@5 78.500 (78.023)
Epoch: [45][8600/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.0280 (2.0356)	Prec@1 48.000 (47.514)	Prec@5 76.000 (78.020)
Epoch: [45][8610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0851 (2.0356)	Prec@1 41.500 (47.512)	Prec@5 78.500 (78.021)
Epoch: [45][8620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8337 (2.0356)	Prec@1 52.500 (47.512)	Prec@5 81.500 (78.021)
Epoch: [45][8630/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0569 (2.0357)	Prec@1 40.000 (47.510)	Prec@5 77.000 (78.021)
Epoch: [45][8640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9130 (2.0357)	Prec@1 47.500 (47.509)	Prec@5 83.500 (78.020)
Epoch: [45][8650/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0544 (2.0357)	Prec@1 45.000 (47.508)	Prec@5 79.500 (78.019)
Epoch: [45][8660/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.1872 (2.0357)	Prec@1 42.500 (47.508)	Prec@5 74.000 (78.020)
Epoch: [45][8670/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1700 (2.0357)	Prec@1 42.000 (47.506)	Prec@5 76.000 (78.020)
Epoch: [45][8680/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.0092 (2.0357)	Prec@1 46.500 (47.506)	Prec@5 78.500 (78.021)
Epoch: [45][8690/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1609 (2.0357)	Prec@1 47.000 (47.506)	Prec@5 75.500 (78.021)
Epoch: [45][8700/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1774 (2.0358)	Prec@1 43.000 (47.504)	Prec@5 76.500 (78.018)
Epoch: [45][8710/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0619 (2.0358)	Prec@1 44.000 (47.503)	Prec@5 78.500 (78.018)
Epoch: [45][8720/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1814 (2.0357)	Prec@1 48.000 (47.506)	Prec@5 75.000 (78.020)
Epoch: [45][8730/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.9559 (2.0356)	Prec@1 49.000 (47.510)	Prec@5 78.500 (78.021)
Epoch: [45][8740/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0611 (2.0356)	Prec@1 50.500 (47.510)	Prec@5 79.500 (78.021)
Epoch: [45][8750/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1553 (2.0357)	Prec@1 46.000 (47.509)	Prec@5 78.000 (78.021)
Epoch: [45][8760/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.1693 (2.0357)	Prec@1 43.000 (47.509)	Prec@5 76.000 (78.021)
Epoch: [45][8770/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1014 (2.0358)	Prec@1 48.500 (47.506)	Prec@5 78.000 (78.020)
Epoch: [45][8780/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1254 (2.0358)	Prec@1 41.500 (47.505)	Prec@5 76.500 (78.019)
Epoch: [45][8790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9167 (2.0358)	Prec@1 51.500 (47.505)	Prec@5 78.500 (78.019)
Epoch: [45][8800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1772 (2.0357)	Prec@1 42.000 (47.505)	Prec@5 75.500 (78.020)
Epoch: [45][8810/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.2234 (2.0358)	Prec@1 45.000 (47.505)	Prec@5 76.500 (78.018)
Epoch: [45][8820/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9597 (2.0358)	Prec@1 50.000 (47.503)	Prec@5 80.500 (78.019)
Epoch: [45][8830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1927 (2.0358)	Prec@1 44.000 (47.504)	Prec@5 77.500 (78.019)
Epoch: [45][8840/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.0179 (2.0358)	Prec@1 47.000 (47.502)	Prec@5 79.000 (78.020)
Epoch: [45][8850/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.8524 (2.0358)	Prec@1 53.500 (47.502)	Prec@5 81.000 (78.019)
Epoch: [45][8860/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9682 (2.0358)	Prec@1 50.000 (47.503)	Prec@5 80.500 (78.020)
Epoch: [45][8870/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0204 (2.0358)	Prec@1 48.000 (47.502)	Prec@5 77.500 (78.019)
Epoch: [45][8880/9018]	Time 0.754 (0.615)	Data 0.001 (0.001)	Loss 2.0234 (2.0358)	Prec@1 49.500 (47.502)	Prec@5 79.000 (78.019)
Epoch: [45][8890/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.3366 (2.0359)	Prec@1 42.500 (47.500)	Prec@5 73.000 (78.018)
Epoch: [45][8900/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2017 (2.0360)	Prec@1 45.000 (47.498)	Prec@5 76.500 (78.017)
Epoch: [45][8910/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.9637 (2.0360)	Prec@1 52.500 (47.498)	Prec@5 76.500 (78.017)
Epoch: [45][8920/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0464 (2.0360)	Prec@1 47.000 (47.497)	Prec@5 77.000 (78.017)
Epoch: [45][8930/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.2179 (2.0360)	Prec@1 45.000 (47.497)	Prec@5 77.500 (78.017)
Epoch: [45][8940/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.9324 (2.0360)	Prec@1 46.000 (47.499)	Prec@5 78.000 (78.019)
Epoch: [45][8950/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.9983 (2.0360)	Prec@1 45.000 (47.500)	Prec@5 82.500 (78.018)
Epoch: [45][8960/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8954 (2.0360)	Prec@1 49.500 (47.499)	Prec@5 80.000 (78.017)
Epoch: [45][8970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9993 (2.0360)	Prec@1 54.000 (47.498)	Prec@5 78.000 (78.018)
Epoch: [45][8980/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0361 (2.0361)	Prec@1 47.500 (47.497)	Prec@5 79.000 (78.018)
Epoch: [45][8990/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0408 (2.0361)	Prec@1 43.500 (47.496)	Prec@5 79.500 (78.018)
Epoch: [45][9000/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0020 (2.0363)	Prec@1 47.000 (47.492)	Prec@5 79.500 (78.015)
Epoch: [45][9010/9018]	Time 0.611 (0.615)	Data 0.000 (0.001)	Loss 1.8778 (2.0362)	Prec@1 46.500 (47.493)	Prec@5 86.000 (78.017)
Test: [0/183]	Time 1.359 (1.359)	Loss 2.4765 (2.4765)	Prec@1 37.500 (37.500)	Prec@5 68.000 (68.000)
Test: [10/183]	Time 0.180 (0.300)	Loss 1.7495 (1.7407)	Prec@1 56.500 (53.955)	Prec@5 83.500 (83.773)
Test: [20/183]	Time 0.198 (0.254)	Loss 2.2597 (1.7372)	Prec@1 42.500 (53.548)	Prec@5 72.500 (83.571)
Test: [30/183]	Time 0.192 (0.235)	Loss 2.5405 (1.7641)	Prec@1 26.000 (52.113)	Prec@5 73.500 (83.306)
Test: [40/183]	Time 0.185 (0.226)	Loss 2.1871 (1.7569)	Prec@1 40.500 (52.780)	Prec@5 77.000 (82.817)
Test: [50/183]	Time 0.186 (0.219)	Loss 1.6291 (1.7259)	Prec@1 46.500 (53.578)	Prec@5 88.500 (83.265)
Test: [60/183]	Time 0.187 (0.215)	Loss 1.9493 (1.7709)	Prec@1 51.000 (52.107)	Prec@5 79.000 (82.877)
Test: [70/183]	Time 0.187 (0.213)	Loss 1.7888 (1.7583)	Prec@1 49.500 (52.254)	Prec@5 83.500 (83.338)
Test: [80/183]	Time 0.190 (0.211)	Loss 1.2683 (1.7472)	Prec@1 61.000 (52.284)	Prec@5 95.000 (83.537)
Test: [90/183]	Time 0.185 (0.209)	Loss 2.1811 (1.7458)	Prec@1 41.000 (52.423)	Prec@5 79.500 (83.615)
Test: [100/183]	Time 0.192 (0.207)	Loss 0.7479 (1.7433)	Prec@1 77.000 (52.485)	Prec@5 95.500 (83.713)
Test: [110/183]	Time 0.196 (0.206)	Loss 0.9960 (1.7522)	Prec@1 72.500 (52.270)	Prec@5 95.000 (83.577)
Test: [120/183]	Time 0.192 (0.206)	Loss 2.3405 (1.7593)	Prec@1 38.500 (52.021)	Prec@5 69.500 (83.500)
Test: [130/183]	Time 0.189 (0.205)	Loss 3.0956 (1.7665)	Prec@1 18.500 (51.889)	Prec@5 67.500 (83.538)
Test: [140/183]	Time 0.199 (0.204)	Loss 1.6185 (1.7584)	Prec@1 57.500 (52.202)	Prec@5 85.000 (83.702)
Test: [150/183]	Time 0.192 (0.204)	Loss 0.7039 (1.7540)	Prec@1 81.000 (52.401)	Prec@5 97.000 (83.788)
Test: [160/183]	Time 0.252 (0.203)	Loss 1.6641 (1.7523)	Prec@1 50.500 (52.503)	Prec@5 83.000 (83.748)
Test: [170/183]	Time 0.188 (0.202)	Loss 2.3138 (1.7709)	Prec@1 32.000 (52.079)	Prec@5 76.000 (83.398)
Test: [180/183]	Time 0.181 (0.202)	Loss 2.1225 (1.7753)	Prec@1 42.000 (52.050)	Prec@5 78.500 (83.301)
 * Prec@1 52.027 Prec@5 83.279
Epoch: [46][0/9018]	Time 2.711 (2.711)	Data 2.063 (2.063)	Loss 2.1167 (2.1167)	Prec@1 45.000 (45.000)	Prec@5 74.500 (74.500)
Epoch: [46][10/9018]	Time 0.765 (0.807)	Data 0.001 (0.188)	Loss 2.1818 (2.0480)	Prec@1 43.500 (46.318)	Prec@5 73.500 (77.227)
Epoch: [46][20/9018]	Time 0.599 (0.706)	Data 0.001 (0.099)	Loss 1.9531 (2.0235)	Prec@1 49.500 (46.667)	Prec@5 80.000 (78.071)
Epoch: [46][30/9018]	Time 0.592 (0.673)	Data 0.001 (0.067)	Loss 1.9006 (2.0110)	Prec@1 48.500 (47.145)	Prec@5 79.000 (78.258)
Epoch: [46][40/9018]	Time 0.596 (0.654)	Data 0.001 (0.051)	Loss 2.1648 (2.0145)	Prec@1 43.500 (47.207)	Prec@5 69.500 (77.890)
Epoch: [46][50/9018]	Time 0.599 (0.646)	Data 0.001 (0.041)	Loss 2.0478 (2.0089)	Prec@1 47.000 (47.676)	Prec@5 82.000 (78.176)
Epoch: [46][60/9018]	Time 0.732 (0.643)	Data 0.001 (0.035)	Loss 1.9751 (2.0039)	Prec@1 48.000 (47.992)	Prec@5 81.000 (78.385)
Epoch: [46][70/9018]	Time 0.610 (0.637)	Data 0.001 (0.030)	Loss 2.0359 (2.0109)	Prec@1 45.000 (47.697)	Prec@5 78.500 (78.246)
Epoch: [46][80/9018]	Time 0.599 (0.635)	Data 0.001 (0.026)	Loss 1.9938 (2.0059)	Prec@1 43.500 (47.827)	Prec@5 80.000 (78.309)
Epoch: [46][90/9018]	Time 0.630 (0.632)	Data 0.001 (0.023)	Loss 1.9589 (1.9991)	Prec@1 48.500 (48.159)	Prec@5 78.500 (78.407)
Epoch: [46][100/9018]	Time 0.596 (0.631)	Data 0.001 (0.021)	Loss 1.9743 (2.0047)	Prec@1 47.500 (48.015)	Prec@5 77.000 (78.277)
Epoch: [46][110/9018]	Time 0.597 (0.630)	Data 0.001 (0.019)	Loss 2.0918 (2.0076)	Prec@1 50.000 (47.982)	Prec@5 76.000 (78.257)
Epoch: [46][120/9018]	Time 0.607 (0.628)	Data 0.001 (0.018)	Loss 2.1284 (2.0109)	Prec@1 45.500 (47.971)	Prec@5 75.000 (78.207)
Epoch: [46][130/9018]	Time 0.592 (0.627)	Data 0.001 (0.016)	Loss 2.1503 (2.0113)	Prec@1 44.000 (47.905)	Prec@5 75.000 (78.271)
Epoch: [46][140/9018]	Time 0.614 (0.626)	Data 0.001 (0.015)	Loss 1.9799 (2.0098)	Prec@1 49.000 (47.918)	Prec@5 79.500 (78.298)
Epoch: [46][150/9018]	Time 0.633 (0.626)	Data 0.001 (0.014)	Loss 1.7471 (2.0092)	Prec@1 54.500 (47.960)	Prec@5 79.500 (78.334)
Epoch: [46][160/9018]	Time 0.606 (0.626)	Data 0.001 (0.014)	Loss 2.0162 (2.0094)	Prec@1 43.000 (47.941)	Prec@5 82.500 (78.385)
Epoch: [46][170/9018]	Time 0.601 (0.625)	Data 0.001 (0.013)	Loss 2.1241 (2.0074)	Prec@1 43.500 (47.971)	Prec@5 76.500 (78.406)
Epoch: [46][180/9018]	Time 0.599 (0.625)	Data 0.001 (0.012)	Loss 1.8361 (2.0065)	Prec@1 53.500 (47.972)	Prec@5 81.000 (78.448)
Epoch: [46][190/9018]	Time 0.596 (0.624)	Data 0.001 (0.012)	Loss 2.2390 (2.0061)	Prec@1 48.000 (48.010)	Prec@5 74.000 (78.435)
Epoch: [46][200/9018]	Time 0.595 (0.624)	Data 0.001 (0.011)	Loss 2.0437 (2.0051)	Prec@1 50.000 (48.172)	Prec@5 75.500 (78.445)
Epoch: [46][210/9018]	Time 0.597 (0.623)	Data 0.001 (0.011)	Loss 1.9173 (2.0034)	Prec@1 50.000 (48.206)	Prec@5 78.000 (78.441)
Epoch: [46][220/9018]	Time 0.595 (0.622)	Data 0.001 (0.010)	Loss 1.7608 (2.0045)	Prec@1 53.500 (48.210)	Prec@5 83.000 (78.448)
Epoch: [46][230/9018]	Time 0.600 (0.622)	Data 0.001 (0.010)	Loss 1.8990 (2.0066)	Prec@1 51.000 (48.190)	Prec@5 78.500 (78.411)
Epoch: [46][240/9018]	Time 0.625 (0.621)	Data 0.001 (0.009)	Loss 1.9630 (2.0070)	Prec@1 44.000 (48.176)	Prec@5 78.500 (78.421)
Epoch: [46][250/9018]	Time 0.625 (0.621)	Data 0.001 (0.009)	Loss 2.0911 (2.0080)	Prec@1 47.000 (48.151)	Prec@5 76.000 (78.416)
Epoch: [46][260/9018]	Time 0.599 (0.621)	Data 0.001 (0.009)	Loss 1.8220 (2.0032)	Prec@1 52.500 (48.238)	Prec@5 80.000 (78.490)
Epoch: [46][270/9018]	Time 0.633 (0.620)	Data 0.001 (0.008)	Loss 2.0646 (2.0029)	Prec@1 49.000 (48.251)	Prec@5 79.500 (78.511)
Epoch: [46][280/9018]	Time 0.595 (0.620)	Data 0.001 (0.008)	Loss 2.0018 (2.0036)	Prec@1 45.000 (48.262)	Prec@5 80.000 (78.527)
Epoch: [46][290/9018]	Time 0.603 (0.620)	Data 0.001 (0.008)	Loss 1.9846 (2.0012)	Prec@1 49.000 (48.294)	Prec@5 79.500 (78.598)
Epoch: [46][300/9018]	Time 0.598 (0.620)	Data 0.001 (0.008)	Loss 2.0267 (2.0015)	Prec@1 44.500 (48.289)	Prec@5 78.000 (78.600)
Epoch: [46][310/9018]	Time 0.598 (0.620)	Data 0.001 (0.007)	Loss 1.9998 (2.0000)	Prec@1 47.000 (48.310)	Prec@5 78.000 (78.613)
Epoch: [46][320/9018]	Time 0.610 (0.619)	Data 0.001 (0.007)	Loss 2.0480 (1.9984)	Prec@1 49.500 (48.388)	Prec@5 76.500 (78.615)
Epoch: [46][330/9018]	Time 0.603 (0.619)	Data 0.001 (0.007)	Loss 2.0060 (1.9986)	Prec@1 48.500 (48.343)	Prec@5 80.500 (78.622)
Epoch: [46][340/9018]	Time 0.717 (0.620)	Data 0.001 (0.007)	Loss 2.1436 (2.0001)	Prec@1 49.500 (48.318)	Prec@5 74.000 (78.579)
Epoch: [46][350/9018]	Time 0.633 (0.619)	Data 0.001 (0.007)	Loss 2.1702 (2.0009)	Prec@1 42.500 (48.348)	Prec@5 79.000 (78.556)
Epoch: [46][360/9018]	Time 0.596 (0.619)	Data 0.001 (0.006)	Loss 1.8172 (2.0013)	Prec@1 52.000 (48.337)	Prec@5 84.000 (78.576)
Epoch: [46][370/9018]	Time 0.611 (0.619)	Data 0.001 (0.006)	Loss 1.8883 (2.0013)	Prec@1 50.000 (48.314)	Prec@5 81.500 (78.585)
Epoch: [46][380/9018]	Time 0.598 (0.619)	Data 0.001 (0.006)	Loss 1.8984 (2.0010)	Prec@1 48.500 (48.319)	Prec@5 80.500 (78.577)
Epoch: [46][390/9018]	Time 0.718 (0.619)	Data 0.001 (0.006)	Loss 2.2138 (2.0009)	Prec@1 45.000 (48.324)	Prec@5 74.500 (78.584)
Epoch: [46][400/9018]	Time 0.616 (0.618)	Data 0.001 (0.006)	Loss 1.8349 (2.0029)	Prec@1 52.500 (48.277)	Prec@5 82.500 (78.557)
Epoch: [46][410/9018]	Time 0.601 (0.619)	Data 0.001 (0.006)	Loss 1.7766 (2.0023)	Prec@1 53.000 (48.285)	Prec@5 80.500 (78.564)
Epoch: [46][420/9018]	Time 0.613 (0.618)	Data 0.001 (0.006)	Loss 2.1641 (2.0040)	Prec@1 47.000 (48.271)	Prec@5 75.500 (78.537)
Epoch: [46][430/9018]	Time 0.638 (0.618)	Data 0.001 (0.006)	Loss 2.2525 (2.0045)	Prec@1 47.500 (48.256)	Prec@5 73.000 (78.513)
Epoch: [46][440/9018]	Time 0.632 (0.618)	Data 0.001 (0.005)	Loss 2.3606 (2.0077)	Prec@1 44.500 (48.172)	Prec@5 69.500 (78.459)
Epoch: [46][450/9018]	Time 0.591 (0.618)	Data 0.001 (0.005)	Loss 1.9230 (2.0086)	Prec@1 45.500 (48.177)	Prec@5 80.500 (78.435)
Epoch: [46][460/9018]	Time 0.622 (0.618)	Data 0.001 (0.005)	Loss 2.2484 (2.0106)	Prec@1 41.000 (48.117)	Prec@5 73.000 (78.387)
Epoch: [46][470/9018]	Time 0.594 (0.618)	Data 0.001 (0.005)	Loss 1.9961 (2.0106)	Prec@1 45.000 (48.122)	Prec@5 82.500 (78.406)
Epoch: [46][480/9018]	Time 0.628 (0.618)	Data 0.001 (0.005)	Loss 1.9855 (2.0102)	Prec@1 50.500 (48.134)	Prec@5 76.500 (78.410)
Epoch: [46][490/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 2.1061 (2.0096)	Prec@1 43.500 (48.145)	Prec@5 77.500 (78.409)
Epoch: [46][500/9018]	Time 0.624 (0.618)	Data 0.001 (0.005)	Loss 2.0550 (2.0083)	Prec@1 46.500 (48.159)	Prec@5 76.500 (78.429)
Epoch: [46][510/9018]	Time 0.592 (0.618)	Data 0.001 (0.005)	Loss 1.9523 (2.0082)	Prec@1 52.500 (48.148)	Prec@5 80.000 (78.425)
Epoch: [46][520/9018]	Time 0.607 (0.617)	Data 0.001 (0.005)	Loss 2.0861 (2.0086)	Prec@1 48.000 (48.129)	Prec@5 76.500 (78.418)
Epoch: [46][530/9018]	Time 0.629 (0.618)	Data 0.001 (0.005)	Loss 2.1677 (2.0085)	Prec@1 46.000 (48.112)	Prec@5 75.500 (78.409)
Epoch: [46][540/9018]	Time 0.617 (0.618)	Data 0.001 (0.005)	Loss 1.9860 (2.0084)	Prec@1 47.500 (48.107)	Prec@5 80.000 (78.429)
Epoch: [46][550/9018]	Time 0.595 (0.618)	Data 0.001 (0.005)	Loss 2.1309 (2.0083)	Prec@1 47.000 (48.113)	Prec@5 78.000 (78.440)
Epoch: [46][560/9018]	Time 0.613 (0.618)	Data 0.001 (0.004)	Loss 1.7620 (2.0079)	Prec@1 59.000 (48.135)	Prec@5 83.000 (78.446)
Epoch: [46][570/9018]	Time 0.632 (0.618)	Data 0.001 (0.004)	Loss 2.0232 (2.0072)	Prec@1 46.500 (48.141)	Prec@5 79.500 (78.455)
Epoch: [46][580/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 1.9784 (2.0062)	Prec@1 47.000 (48.178)	Prec@5 80.000 (78.472)
Epoch: [46][590/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 2.0146 (2.0052)	Prec@1 48.000 (48.206)	Prec@5 80.000 (78.496)
Epoch: [46][600/9018]	Time 0.610 (0.617)	Data 0.001 (0.004)	Loss 2.1935 (2.0050)	Prec@1 47.000 (48.218)	Prec@5 75.000 (78.491)
Epoch: [46][610/9018]	Time 0.590 (0.617)	Data 0.001 (0.004)	Loss 1.8490 (2.0045)	Prec@1 47.500 (48.240)	Prec@5 82.500 (78.499)
Epoch: [46][620/9018]	Time 0.618 (0.617)	Data 0.001 (0.004)	Loss 2.0793 (2.0047)	Prec@1 47.000 (48.230)	Prec@5 77.500 (78.492)
Epoch: [46][630/9018]	Time 0.607 (0.617)	Data 0.001 (0.004)	Loss 2.2147 (2.0053)	Prec@1 43.000 (48.217)	Prec@5 76.500 (78.494)
Epoch: [46][640/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 1.8473 (2.0057)	Prec@1 55.500 (48.186)	Prec@5 82.500 (78.492)
Epoch: [46][650/9018]	Time 0.601 (0.617)	Data 0.001 (0.004)	Loss 1.9492 (2.0054)	Prec@1 52.000 (48.194)	Prec@5 80.500 (78.498)
Epoch: [46][660/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 1.9787 (2.0056)	Prec@1 46.000 (48.192)	Prec@5 81.500 (78.507)
Epoch: [46][670/9018]	Time 0.716 (0.617)	Data 0.001 (0.004)	Loss 2.0706 (2.0061)	Prec@1 49.000 (48.184)	Prec@5 80.500 (78.514)
Epoch: [46][680/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 1.8086 (2.0050)	Prec@1 55.000 (48.206)	Prec@5 82.000 (78.535)
Epoch: [46][690/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 1.8952 (2.0055)	Prec@1 52.000 (48.199)	Prec@5 80.500 (78.527)
Epoch: [46][700/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 1.7783 (2.0058)	Prec@1 53.500 (48.186)	Prec@5 82.500 (78.507)
Epoch: [46][710/9018]	Time 0.593 (0.617)	Data 0.001 (0.004)	Loss 1.8289 (2.0046)	Prec@1 52.000 (48.219)	Prec@5 83.500 (78.521)
Epoch: [46][720/9018]	Time 0.716 (0.617)	Data 0.001 (0.004)	Loss 1.8428 (2.0047)	Prec@1 51.500 (48.212)	Prec@5 83.000 (78.534)
Epoch: [46][730/9018]	Time 0.619 (0.617)	Data 0.001 (0.004)	Loss 2.0896 (2.0058)	Prec@1 43.500 (48.194)	Prec@5 73.500 (78.503)
Epoch: [46][740/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 2.3080 (2.0063)	Prec@1 42.000 (48.170)	Prec@5 75.000 (78.508)
Epoch: [46][750/9018]	Time 0.609 (0.617)	Data 0.001 (0.004)	Loss 1.7944 (2.0062)	Prec@1 50.000 (48.164)	Prec@5 84.000 (78.519)
Epoch: [46][760/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.0461 (2.0064)	Prec@1 46.000 (48.159)	Prec@5 79.000 (78.509)
Epoch: [46][770/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 2.0926 (2.0071)	Prec@1 47.500 (48.132)	Prec@5 74.500 (78.493)
Epoch: [46][780/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 1.9760 (2.0079)	Prec@1 54.000 (48.125)	Prec@5 75.500 (78.474)
Epoch: [46][790/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 2.2110 (2.0084)	Prec@1 44.000 (48.133)	Prec@5 72.500 (78.458)
Epoch: [46][800/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.2308 (2.0091)	Prec@1 45.500 (48.121)	Prec@5 75.500 (78.450)
Epoch: [46][810/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.1990 (2.0085)	Prec@1 46.500 (48.152)	Prec@5 74.000 (78.457)
Epoch: [46][820/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 1.8049 (2.0078)	Prec@1 53.000 (48.176)	Prec@5 83.500 (78.467)
Epoch: [46][830/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 2.0098 (2.0079)	Prec@1 45.000 (48.176)	Prec@5 78.000 (78.469)
Epoch: [46][840/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 1.9918 (2.0075)	Prec@1 48.000 (48.189)	Prec@5 77.000 (78.482)
Epoch: [46][850/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 1.9905 (2.0077)	Prec@1 48.500 (48.193)	Prec@5 78.500 (78.471)
Epoch: [46][860/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.9939 (2.0076)	Prec@1 45.000 (48.198)	Prec@5 80.000 (78.477)
Epoch: [46][870/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 1.8202 (2.0079)	Prec@1 51.500 (48.186)	Prec@5 81.000 (78.464)
Epoch: [46][880/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.8722 (2.0073)	Prec@1 47.500 (48.203)	Prec@5 82.000 (78.474)
Epoch: [46][890/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.2216 (2.0072)	Prec@1 43.000 (48.200)	Prec@5 75.500 (78.478)
Epoch: [46][900/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 2.0388 (2.0066)	Prec@1 46.000 (48.214)	Prec@5 77.000 (78.482)
Epoch: [46][910/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.9656 (2.0065)	Prec@1 52.000 (48.227)	Prec@5 80.000 (78.473)
Epoch: [46][920/9018]	Time 0.646 (0.617)	Data 0.001 (0.003)	Loss 2.2059 (2.0069)	Prec@1 48.000 (48.226)	Prec@5 76.500 (78.474)
Epoch: [46][930/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 2.0790 (2.0070)	Prec@1 45.500 (48.208)	Prec@5 76.000 (78.473)
Epoch: [46][940/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.1750 (2.0072)	Prec@1 44.000 (48.208)	Prec@5 74.500 (78.462)
Epoch: [46][950/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 1.8826 (2.0074)	Prec@1 52.000 (48.199)	Prec@5 79.500 (78.447)
Epoch: [46][960/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 1.8834 (2.0076)	Prec@1 51.000 (48.194)	Prec@5 84.000 (78.450)
Epoch: [46][970/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.8442 (2.0070)	Prec@1 52.000 (48.200)	Prec@5 81.000 (78.454)
Epoch: [46][980/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 1.8820 (2.0062)	Prec@1 51.000 (48.213)	Prec@5 81.000 (78.471)
Epoch: [46][990/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.7519 (2.0067)	Prec@1 52.000 (48.200)	Prec@5 82.000 (78.459)
Epoch: [46][1000/9018]	Time 0.744 (0.616)	Data 0.001 (0.003)	Loss 2.0283 (2.0072)	Prec@1 49.000 (48.196)	Prec@5 77.500 (78.457)
Epoch: [46][1010/9018]	Time 0.634 (0.616)	Data 0.001 (0.003)	Loss 2.0013 (2.0087)	Prec@1 52.000 (48.186)	Prec@5 78.000 (78.425)
Epoch: [46][1020/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 2.1787 (2.0093)	Prec@1 40.500 (48.166)	Prec@5 75.000 (78.415)
Epoch: [46][1030/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 1.8919 (2.0084)	Prec@1 49.000 (48.168)	Prec@5 82.000 (78.436)
Epoch: [46][1040/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 1.9906 (2.0083)	Prec@1 48.500 (48.167)	Prec@5 80.000 (78.440)
Epoch: [46][1050/9018]	Time 0.768 (0.616)	Data 0.001 (0.003)	Loss 1.9551 (2.0088)	Prec@1 48.500 (48.159)	Prec@5 75.500 (78.430)
Epoch: [46][1060/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.1148 (2.0088)	Prec@1 43.500 (48.154)	Prec@5 76.500 (78.430)
Epoch: [46][1070/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.1132 (2.0093)	Prec@1 47.500 (48.148)	Prec@5 73.500 (78.414)
Epoch: [46][1080/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 1.9720 (2.0094)	Prec@1 48.500 (48.134)	Prec@5 81.500 (78.411)
Epoch: [46][1090/9018]	Time 0.631 (0.616)	Data 0.001 (0.003)	Loss 2.0799 (2.0097)	Prec@1 43.500 (48.136)	Prec@5 76.500 (78.399)
Epoch: [46][1100/9018]	Time 0.652 (0.616)	Data 0.001 (0.003)	Loss 2.2511 (2.0102)	Prec@1 44.000 (48.131)	Prec@5 73.000 (78.394)
Epoch: [46][1110/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.9524 (2.0105)	Prec@1 46.500 (48.125)	Prec@5 78.500 (78.378)
Epoch: [46][1120/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 2.0463 (2.0107)	Prec@1 46.500 (48.115)	Prec@5 79.000 (78.384)
Epoch: [46][1130/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.9993 (2.0112)	Prec@1 48.000 (48.116)	Prec@5 77.500 (78.371)
Epoch: [46][1140/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 2.1496 (2.0117)	Prec@1 43.000 (48.114)	Prec@5 78.000 (78.364)
Epoch: [46][1150/9018]	Time 0.617 (0.616)	Data 0.001 (0.003)	Loss 2.1457 (2.0117)	Prec@1 44.000 (48.107)	Prec@5 75.000 (78.366)
Epoch: [46][1160/9018]	Time 0.616 (0.616)	Data 0.001 (0.003)	Loss 2.0499 (2.0119)	Prec@1 48.000 (48.106)	Prec@5 72.500 (78.350)
Epoch: [46][1170/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 1.9089 (2.0118)	Prec@1 44.500 (48.093)	Prec@5 78.500 (78.355)
Epoch: [46][1180/9018]	Time 0.635 (0.616)	Data 0.001 (0.003)	Loss 2.0357 (2.0120)	Prec@1 48.500 (48.086)	Prec@5 80.000 (78.355)
Epoch: [46][1190/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 2.1191 (2.0124)	Prec@1 42.500 (48.076)	Prec@5 72.500 (78.344)
Epoch: [46][1200/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8485 (2.0122)	Prec@1 47.500 (48.079)	Prec@5 83.500 (78.347)
Epoch: [46][1210/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 1.9600 (2.0126)	Prec@1 44.500 (48.065)	Prec@5 79.500 (78.344)
Epoch: [46][1220/9018]	Time 0.587 (0.616)	Data 0.001 (0.002)	Loss 2.1800 (2.0127)	Prec@1 43.000 (48.062)	Prec@5 74.500 (78.342)
Epoch: [46][1230/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.0069 (2.0126)	Prec@1 48.500 (48.055)	Prec@5 80.500 (78.347)
Epoch: [46][1240/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0920 (2.0125)	Prec@1 45.500 (48.050)	Prec@5 75.000 (78.344)
Epoch: [46][1250/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.8147 (2.0123)	Prec@1 53.500 (48.048)	Prec@5 82.000 (78.343)
Epoch: [46][1260/9018]	Time 0.636 (0.616)	Data 0.001 (0.002)	Loss 2.1845 (2.0129)	Prec@1 43.500 (48.031)	Prec@5 75.000 (78.338)
Epoch: [46][1270/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 1.9842 (2.0131)	Prec@1 49.000 (48.032)	Prec@5 77.000 (78.329)
Epoch: [46][1280/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.8900 (2.0128)	Prec@1 47.500 (48.039)	Prec@5 79.500 (78.336)
Epoch: [46][1290/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 2.2631 (2.0133)	Prec@1 44.000 (48.028)	Prec@5 75.000 (78.324)
Epoch: [46][1300/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.8921 (2.0134)	Prec@1 49.500 (48.019)	Prec@5 82.000 (78.322)
Epoch: [46][1310/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 1.9869 (2.0133)	Prec@1 46.500 (48.014)	Prec@5 79.000 (78.324)
Epoch: [46][1320/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.2117 (2.0135)	Prec@1 46.000 (48.019)	Prec@5 76.000 (78.324)
Epoch: [46][1330/9018]	Time 0.755 (0.616)	Data 0.001 (0.002)	Loss 1.9215 (2.0134)	Prec@1 45.500 (48.018)	Prec@5 80.000 (78.323)
Epoch: [46][1340/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.9961 (2.0136)	Prec@1 48.000 (48.012)	Prec@5 81.000 (78.325)
Epoch: [46][1350/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9638 (2.0135)	Prec@1 47.500 (48.009)	Prec@5 78.500 (78.328)
Epoch: [46][1360/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.8296 (2.0132)	Prec@1 53.500 (48.014)	Prec@5 81.000 (78.330)
Epoch: [46][1370/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 2.2086 (2.0136)	Prec@1 47.000 (48.009)	Prec@5 77.500 (78.322)
Epoch: [46][1380/9018]	Time 0.731 (0.616)	Data 0.001 (0.002)	Loss 2.0628 (2.0141)	Prec@1 42.500 (47.996)	Prec@5 77.500 (78.314)
Epoch: [46][1390/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 1.8597 (2.0143)	Prec@1 49.500 (48.001)	Prec@5 82.000 (78.317)
Epoch: [46][1400/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.8509 (2.0144)	Prec@1 53.000 (47.996)	Prec@5 80.500 (78.313)
Epoch: [46][1410/9018]	Time 0.589 (0.616)	Data 0.001 (0.002)	Loss 1.9939 (2.0145)	Prec@1 48.500 (47.992)	Prec@5 79.500 (78.316)
Epoch: [46][1420/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.0317 (2.0144)	Prec@1 51.000 (48.000)	Prec@5 76.500 (78.317)
Epoch: [46][1430/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 2.0470 (2.0142)	Prec@1 49.000 (48.010)	Prec@5 75.500 (78.321)
Epoch: [46][1440/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 2.0556 (2.0143)	Prec@1 49.000 (48.015)	Prec@5 74.500 (78.322)
Epoch: [46][1450/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.8797 (2.0140)	Prec@1 51.500 (48.019)	Prec@5 83.500 (78.324)
Epoch: [46][1460/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.2120 (2.0146)	Prec@1 43.500 (48.003)	Prec@5 72.000 (78.316)
Epoch: [46][1470/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 1.9419 (2.0140)	Prec@1 48.000 (48.017)	Prec@5 77.500 (78.329)
Epoch: [46][1480/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 2.1179 (2.0140)	Prec@1 47.500 (48.011)	Prec@5 77.000 (78.325)
Epoch: [46][1490/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.0116 (2.0138)	Prec@1 50.500 (48.019)	Prec@5 75.000 (78.323)
Epoch: [46][1500/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.0465 (2.0137)	Prec@1 44.000 (48.019)	Prec@5 80.500 (78.331)
Epoch: [46][1510/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1178 (2.0139)	Prec@1 46.000 (48.018)	Prec@5 77.000 (78.330)
Epoch: [46][1520/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.0836 (2.0140)	Prec@1 49.000 (48.019)	Prec@5 78.500 (78.328)
Epoch: [46][1530/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9309 (2.0137)	Prec@1 53.500 (48.022)	Prec@5 77.500 (78.331)
Epoch: [46][1540/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.9159 (2.0136)	Prec@1 50.000 (48.028)	Prec@5 81.000 (78.338)
Epoch: [46][1550/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.8863 (2.0137)	Prec@1 55.500 (48.027)	Prec@5 79.000 (78.339)
Epoch: [46][1560/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0428 (2.0143)	Prec@1 47.500 (48.011)	Prec@5 77.500 (78.326)
Epoch: [46][1570/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0683 (2.0141)	Prec@1 47.000 (48.027)	Prec@5 76.000 (78.326)
Epoch: [46][1580/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.9978 (2.0139)	Prec@1 50.000 (48.030)	Prec@5 75.000 (78.324)
Epoch: [46][1590/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 2.2018 (2.0138)	Prec@1 46.500 (48.027)	Prec@5 73.500 (78.322)
Epoch: [46][1600/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 2.0474 (2.0138)	Prec@1 43.000 (48.021)	Prec@5 80.000 (78.324)
Epoch: [46][1610/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 1.9126 (2.0135)	Prec@1 49.000 (48.028)	Prec@5 79.500 (78.326)
Epoch: [46][1620/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 1.9407 (2.0133)	Prec@1 47.000 (48.032)	Prec@5 80.500 (78.326)
Epoch: [46][1630/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 1.9284 (2.0129)	Prec@1 45.500 (48.036)	Prec@5 86.000 (78.337)
Epoch: [46][1640/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.9685 (2.0129)	Prec@1 47.000 (48.041)	Prec@5 80.000 (78.339)
Epoch: [46][1650/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 2.1787 (2.0137)	Prec@1 46.000 (48.024)	Prec@5 74.500 (78.326)
Epoch: [46][1660/9018]	Time 0.721 (0.615)	Data 0.001 (0.002)	Loss 1.9092 (2.0136)	Prec@1 49.000 (48.030)	Prec@5 81.500 (78.328)
Epoch: [46][1670/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 2.1746 (2.0135)	Prec@1 43.000 (48.025)	Prec@5 73.500 (78.332)
Epoch: [46][1680/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.1038 (2.0137)	Prec@1 45.000 (48.018)	Prec@5 75.000 (78.325)
Epoch: [46][1690/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 2.2053 (2.0136)	Prec@1 46.000 (48.020)	Prec@5 72.500 (78.327)
Epoch: [46][1700/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9947 (2.0136)	Prec@1 47.000 (48.024)	Prec@5 80.000 (78.332)
Epoch: [46][1710/9018]	Time 0.758 (0.615)	Data 0.001 (0.002)	Loss 1.9125 (2.0133)	Prec@1 46.000 (48.025)	Prec@5 81.000 (78.333)
Epoch: [46][1720/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.0539 (2.0135)	Prec@1 48.500 (48.020)	Prec@5 77.500 (78.329)
Epoch: [46][1730/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 1.8685 (2.0133)	Prec@1 51.500 (48.035)	Prec@5 78.000 (78.332)
Epoch: [46][1740/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.0804 (2.0128)	Prec@1 45.500 (48.046)	Prec@5 77.000 (78.345)
Epoch: [46][1750/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.8509 (2.0128)	Prec@1 55.000 (48.048)	Prec@5 81.500 (78.344)
Epoch: [46][1760/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.1383 (2.0129)	Prec@1 45.000 (48.049)	Prec@5 80.000 (78.345)
Epoch: [46][1770/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.0216 (2.0128)	Prec@1 45.500 (48.042)	Prec@5 78.000 (78.348)
Epoch: [46][1780/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.0138 (2.0126)	Prec@1 48.000 (48.043)	Prec@5 79.000 (78.357)
Epoch: [46][1790/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 1.9650 (2.0126)	Prec@1 45.500 (48.035)	Prec@5 80.000 (78.354)
Epoch: [46][1800/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.8859 (2.0127)	Prec@1 48.500 (48.026)	Prec@5 80.500 (78.350)
Epoch: [46][1810/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 2.1049 (2.0129)	Prec@1 44.500 (48.022)	Prec@5 76.500 (78.346)
Epoch: [46][1820/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.9385 (2.0129)	Prec@1 50.500 (48.024)	Prec@5 78.500 (78.344)
Epoch: [46][1830/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.9756 (2.0132)	Prec@1 50.500 (48.017)	Prec@5 78.500 (78.338)
Epoch: [46][1840/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.8126 (2.0131)	Prec@1 55.000 (48.023)	Prec@5 83.500 (78.339)
Epoch: [46][1850/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 1.8775 (2.0132)	Prec@1 46.500 (48.017)	Prec@5 81.000 (78.340)
Epoch: [46][1860/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.0767 (2.0130)	Prec@1 42.000 (48.015)	Prec@5 78.000 (78.346)
Epoch: [46][1870/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 1.8546 (2.0132)	Prec@1 52.500 (48.011)	Prec@5 80.500 (78.346)
Epoch: [46][1880/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.0091 (2.0134)	Prec@1 50.000 (48.007)	Prec@5 79.000 (78.346)
Epoch: [46][1890/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.1508 (2.0131)	Prec@1 48.500 (48.021)	Prec@5 75.500 (78.355)
Epoch: [46][1900/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 1.9814 (2.0128)	Prec@1 47.500 (48.027)	Prec@5 79.000 (78.357)
Epoch: [46][1910/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 1.9028 (2.0131)	Prec@1 53.000 (48.018)	Prec@5 81.000 (78.355)
Epoch: [46][1920/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 1.7907 (2.0130)	Prec@1 52.000 (48.015)	Prec@5 84.000 (78.359)
Epoch: [46][1930/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 1.8893 (2.0129)	Prec@1 47.000 (48.011)	Prec@5 80.000 (78.362)
Epoch: [46][1940/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0895 (2.0132)	Prec@1 47.500 (48.003)	Prec@5 75.000 (78.356)
Epoch: [46][1950/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.0331 (2.0132)	Prec@1 48.500 (47.997)	Prec@5 75.500 (78.351)
Epoch: [46][1960/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.1806 (2.0133)	Prec@1 44.000 (47.996)	Prec@5 74.000 (78.350)
Epoch: [46][1970/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 1.8244 (2.0133)	Prec@1 50.000 (47.992)	Prec@5 82.000 (78.356)
Epoch: [46][1980/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0996 (2.0135)	Prec@1 45.000 (47.991)	Prec@5 78.000 (78.354)
Epoch: [46][1990/9018]	Time 0.743 (0.615)	Data 0.001 (0.002)	Loss 1.9617 (2.0138)	Prec@1 48.000 (47.982)	Prec@5 76.500 (78.348)
Epoch: [46][2000/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.8573 (2.0137)	Prec@1 51.000 (47.986)	Prec@5 80.000 (78.353)
Epoch: [46][2010/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.8440 (2.0138)	Prec@1 51.500 (47.981)	Prec@5 80.500 (78.350)
Epoch: [46][2020/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 2.1797 (2.0140)	Prec@1 47.000 (47.977)	Prec@5 75.500 (78.348)
Epoch: [46][2030/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.0364 (2.0140)	Prec@1 49.000 (47.972)	Prec@5 80.500 (78.351)
Epoch: [46][2040/9018]	Time 0.731 (0.615)	Data 0.001 (0.002)	Loss 1.9922 (2.0141)	Prec@1 49.500 (47.974)	Prec@5 78.500 (78.346)
Epoch: [46][2050/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 2.1018 (2.0142)	Prec@1 44.000 (47.967)	Prec@5 79.500 (78.345)
Epoch: [46][2060/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.9083 (2.0139)	Prec@1 52.000 (47.979)	Prec@5 76.500 (78.349)
Epoch: [46][2070/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 2.0214 (2.0139)	Prec@1 43.500 (47.972)	Prec@5 80.500 (78.348)
Epoch: [46][2080/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.0238 (2.0138)	Prec@1 49.500 (47.981)	Prec@5 78.000 (78.354)
Epoch: [46][2090/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.9869 (2.0138)	Prec@1 47.500 (47.981)	Prec@5 79.500 (78.355)
Epoch: [46][2100/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.1324 (2.0140)	Prec@1 43.500 (47.975)	Prec@5 80.000 (78.351)
Epoch: [46][2110/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 2.0317 (2.0142)	Prec@1 51.500 (47.973)	Prec@5 75.000 (78.349)
Epoch: [46][2120/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.9572 (2.0141)	Prec@1 49.000 (47.971)	Prec@5 80.000 (78.352)
Epoch: [46][2130/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.9156 (2.0144)	Prec@1 45.000 (47.962)	Prec@5 83.000 (78.349)
Epoch: [46][2140/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.9736 (2.0144)	Prec@1 49.500 (47.958)	Prec@5 80.000 (78.356)
Epoch: [46][2150/9018]	Time 0.649 (0.615)	Data 0.001 (0.002)	Loss 2.2269 (2.0146)	Prec@1 47.000 (47.963)	Prec@5 75.500 (78.355)
Epoch: [46][2160/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.2558 (2.0150)	Prec@1 46.500 (47.957)	Prec@5 73.500 (78.349)
Epoch: [46][2170/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 2.0889 (2.0150)	Prec@1 47.500 (47.959)	Prec@5 78.500 (78.356)
Epoch: [46][2180/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.9348 (2.0151)	Prec@1 48.500 (47.953)	Prec@5 79.000 (78.354)
Epoch: [46][2190/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.2026 (2.0150)	Prec@1 45.000 (47.955)	Prec@5 77.000 (78.358)
Epoch: [46][2200/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.0008 (2.0151)	Prec@1 48.500 (47.957)	Prec@5 77.000 (78.358)
Epoch: [46][2210/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 2.1750 (2.0151)	Prec@1 43.500 (47.951)	Prec@5 77.000 (78.359)
Epoch: [46][2220/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.1541 (2.0153)	Prec@1 49.000 (47.950)	Prec@5 76.000 (78.354)
Epoch: [46][2230/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.0783 (2.0157)	Prec@1 47.000 (47.943)	Prec@5 75.000 (78.347)
Epoch: [46][2240/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9429 (2.0157)	Prec@1 48.500 (47.937)	Prec@5 79.500 (78.348)
Epoch: [46][2250/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.9410 (2.0159)	Prec@1 49.500 (47.936)	Prec@5 79.000 (78.343)
Epoch: [46][2260/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.9464 (2.0159)	Prec@1 47.000 (47.936)	Prec@5 80.500 (78.343)
Epoch: [46][2270/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 1.8959 (2.0161)	Prec@1 50.000 (47.929)	Prec@5 81.000 (78.340)
Epoch: [46][2280/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.8892 (2.0159)	Prec@1 46.000 (47.931)	Prec@5 83.500 (78.344)
Epoch: [46][2290/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.9455 (2.0160)	Prec@1 48.500 (47.930)	Prec@5 81.500 (78.341)
Epoch: [46][2300/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 1.7504 (2.0160)	Prec@1 56.000 (47.928)	Prec@5 82.000 (78.339)
Epoch: [46][2310/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 2.1911 (2.0162)	Prec@1 43.500 (47.922)	Prec@5 74.500 (78.335)
Epoch: [46][2320/9018]	Time 0.716 (0.615)	Data 0.001 (0.002)	Loss 1.8758 (2.0162)	Prec@1 50.500 (47.921)	Prec@5 83.000 (78.332)
Epoch: [46][2330/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 1.9536 (2.0164)	Prec@1 44.000 (47.917)	Prec@5 82.000 (78.330)
Epoch: [46][2340/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.1583 (2.0168)	Prec@1 47.000 (47.911)	Prec@5 71.500 (78.322)
Epoch: [46][2350/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.2773 (2.0168)	Prec@1 43.500 (47.909)	Prec@5 73.500 (78.321)
Epoch: [46][2360/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.8614 (2.0168)	Prec@1 47.500 (47.905)	Prec@5 82.500 (78.319)
Epoch: [46][2370/9018]	Time 0.711 (0.615)	Data 0.001 (0.002)	Loss 1.9516 (2.0168)	Prec@1 45.500 (47.906)	Prec@5 79.500 (78.319)
Epoch: [46][2380/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 1.8373 (2.0166)	Prec@1 48.500 (47.906)	Prec@5 80.000 (78.327)
Epoch: [46][2390/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 2.0644 (2.0165)	Prec@1 49.000 (47.914)	Prec@5 77.500 (78.328)
Epoch: [46][2400/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 2.1578 (2.0168)	Prec@1 47.000 (47.905)	Prec@5 77.000 (78.323)
Epoch: [46][2410/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.9039 (2.0165)	Prec@1 54.500 (47.913)	Prec@5 82.000 (78.332)
Epoch: [46][2420/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.0155 (2.0165)	Prec@1 44.500 (47.909)	Prec@5 82.500 (78.331)
Epoch: [46][2430/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 1.8540 (2.0167)	Prec@1 49.000 (47.906)	Prec@5 83.500 (78.334)
Epoch: [46][2440/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.0842 (2.0166)	Prec@1 45.500 (47.902)	Prec@5 82.500 (78.340)
Epoch: [46][2450/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0037 (2.0168)	Prec@1 45.000 (47.897)	Prec@5 79.000 (78.339)
Epoch: [46][2460/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 2.0201 (2.0170)	Prec@1 48.500 (47.892)	Prec@5 75.500 (78.335)
Epoch: [46][2470/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.9894 (2.0170)	Prec@1 53.000 (47.891)	Prec@5 77.500 (78.335)
Epoch: [46][2480/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 1.8972 (2.0170)	Prec@1 47.000 (47.890)	Prec@5 79.500 (78.334)
Epoch: [46][2490/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 2.0125 (2.0171)	Prec@1 43.500 (47.886)	Prec@5 82.500 (78.332)
Epoch: [46][2500/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 1.9660 (2.0173)	Prec@1 49.500 (47.882)	Prec@5 76.500 (78.330)
Epoch: [46][2510/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 2.0312 (2.0172)	Prec@1 43.500 (47.883)	Prec@5 77.000 (78.333)
Epoch: [46][2520/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.9143 (2.0173)	Prec@1 46.000 (47.874)	Prec@5 80.000 (78.330)
Epoch: [46][2530/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 2.0476 (2.0175)	Prec@1 45.000 (47.870)	Prec@5 79.500 (78.326)
Epoch: [46][2540/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.1535 (2.0176)	Prec@1 38.500 (47.866)	Prec@5 76.500 (78.323)
Epoch: [46][2550/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.8724 (2.0178)	Prec@1 48.000 (47.862)	Prec@5 82.000 (78.320)
Epoch: [46][2560/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.2495 (2.0179)	Prec@1 48.000 (47.866)	Prec@5 76.000 (78.318)
Epoch: [46][2570/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 2.0112 (2.0180)	Prec@1 48.000 (47.868)	Prec@5 77.500 (78.318)
Epoch: [46][2580/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.0818 (2.0180)	Prec@1 44.000 (47.867)	Prec@5 80.500 (78.319)
Epoch: [46][2590/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.7967 (2.0181)	Prec@1 50.500 (47.862)	Prec@5 83.000 (78.318)
Epoch: [46][2600/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.9880 (2.0179)	Prec@1 47.000 (47.865)	Prec@5 82.000 (78.321)
Epoch: [46][2610/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 1.9424 (2.0179)	Prec@1 50.000 (47.860)	Prec@5 81.500 (78.319)
Epoch: [46][2620/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.9869 (2.0182)	Prec@1 47.000 (47.852)	Prec@5 77.000 (78.313)
Epoch: [46][2630/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.0783 (2.0181)	Prec@1 46.500 (47.855)	Prec@5 76.500 (78.311)
Epoch: [46][2640/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 2.4461 (2.0182)	Prec@1 36.500 (47.857)	Prec@5 69.500 (78.309)
Epoch: [46][2650/9018]	Time 0.751 (0.615)	Data 0.001 (0.002)	Loss 2.2665 (2.0183)	Prec@1 42.000 (47.856)	Prec@5 74.000 (78.308)
Epoch: [46][2660/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 2.1408 (2.0184)	Prec@1 44.500 (47.849)	Prec@5 77.000 (78.308)
Epoch: [46][2670/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 2.0448 (2.0184)	Prec@1 47.500 (47.849)	Prec@5 79.000 (78.308)
Epoch: [46][2680/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 1.9948 (2.0184)	Prec@1 49.500 (47.846)	Prec@5 77.000 (78.304)
Epoch: [46][2690/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 2.0511 (2.0184)	Prec@1 44.000 (47.842)	Prec@5 77.000 (78.304)
Epoch: [46][2700/9018]	Time 0.721 (0.615)	Data 0.001 (0.002)	Loss 2.0906 (2.0186)	Prec@1 46.500 (47.839)	Prec@5 75.000 (78.303)
Epoch: [46][2710/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 2.1680 (2.0187)	Prec@1 44.000 (47.835)	Prec@5 78.000 (78.302)
Epoch: [46][2720/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 2.0902 (2.0187)	Prec@1 45.500 (47.831)	Prec@5 79.500 (78.302)
Epoch: [46][2730/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.1812 (2.0188)	Prec@1 48.500 (47.830)	Prec@5 76.500 (78.305)
Epoch: [46][2740/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.2032 (2.0189)	Prec@1 48.000 (47.831)	Prec@5 74.000 (78.303)
Epoch: [46][2750/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.2182 (2.0192)	Prec@1 42.500 (47.823)	Prec@5 75.500 (78.296)
Epoch: [46][2760/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 2.1561 (2.0192)	Prec@1 47.000 (47.827)	Prec@5 77.000 (78.301)
Epoch: [46][2770/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.9181 (2.0192)	Prec@1 50.500 (47.825)	Prec@5 78.000 (78.301)
Epoch: [46][2780/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 2.0086 (2.0194)	Prec@1 49.500 (47.825)	Prec@5 78.000 (78.294)
Epoch: [46][2790/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 2.0737 (2.0195)	Prec@1 47.000 (47.821)	Prec@5 78.000 (78.294)
Epoch: [46][2800/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 2.1767 (2.0197)	Prec@1 45.500 (47.823)	Prec@5 73.000 (78.287)
Epoch: [46][2810/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.9276 (2.0196)	Prec@1 46.500 (47.823)	Prec@5 80.000 (78.287)
Epoch: [46][2820/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 2.0199 (2.0197)	Prec@1 47.000 (47.823)	Prec@5 80.500 (78.285)
Epoch: [46][2830/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.9447 (2.0195)	Prec@1 47.500 (47.826)	Prec@5 79.000 (78.288)
Epoch: [46][2840/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0521 (2.0196)	Prec@1 44.000 (47.823)	Prec@5 74.000 (78.285)
Epoch: [46][2850/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 1.9487 (2.0200)	Prec@1 48.000 (47.815)	Prec@5 83.000 (78.280)
Epoch: [46][2860/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9173 (2.0199)	Prec@1 50.000 (47.816)	Prec@5 81.000 (78.279)
Epoch: [46][2870/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9823 (2.0196)	Prec@1 51.500 (47.820)	Prec@5 81.000 (78.284)
Epoch: [46][2880/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0891 (2.0198)	Prec@1 46.500 (47.814)	Prec@5 78.000 (78.284)
Epoch: [46][2890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0940 (2.0199)	Prec@1 46.000 (47.809)	Prec@5 75.000 (78.281)
Epoch: [46][2900/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9582 (2.0199)	Prec@1 48.000 (47.807)	Prec@5 79.000 (78.280)
Epoch: [46][2910/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0483 (2.0198)	Prec@1 51.500 (47.810)	Prec@5 75.500 (78.284)
Epoch: [46][2920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9204 (2.0195)	Prec@1 54.000 (47.818)	Prec@5 82.000 (78.284)
Epoch: [46][2930/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1089 (2.0196)	Prec@1 46.000 (47.817)	Prec@5 77.500 (78.284)
Epoch: [46][2940/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0893 (2.0194)	Prec@1 45.500 (47.825)	Prec@5 75.500 (78.287)
Epoch: [46][2950/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.8494 (2.0195)	Prec@1 55.500 (47.821)	Prec@5 80.500 (78.284)
Epoch: [46][2960/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.1375 (2.0196)	Prec@1 49.500 (47.826)	Prec@5 76.500 (78.281)
Epoch: [46][2970/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2789 (2.0196)	Prec@1 41.500 (47.827)	Prec@5 75.500 (78.279)
Epoch: [46][2980/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 2.0206 (2.0197)	Prec@1 50.000 (47.823)	Prec@5 77.500 (78.281)
Epoch: [46][2990/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1517 (2.0198)	Prec@1 45.000 (47.821)	Prec@5 76.000 (78.279)
Epoch: [46][3000/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8663 (2.0198)	Prec@1 48.500 (47.822)	Prec@5 79.000 (78.279)
Epoch: [46][3010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0858 (2.0199)	Prec@1 47.000 (47.816)	Prec@5 75.500 (78.278)
Epoch: [46][3020/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9083 (2.0199)	Prec@1 48.000 (47.813)	Prec@5 81.000 (78.278)
Epoch: [46][3030/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 1.8637 (2.0200)	Prec@1 51.500 (47.816)	Prec@5 80.000 (78.274)
Epoch: [46][3040/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.0359 (2.0199)	Prec@1 47.000 (47.814)	Prec@5 78.000 (78.278)
Epoch: [46][3050/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.2384 (2.0201)	Prec@1 43.000 (47.810)	Prec@5 75.500 (78.277)
Epoch: [46][3060/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.1413 (2.0198)	Prec@1 45.000 (47.815)	Prec@5 74.500 (78.283)
Epoch: [46][3070/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0245 (2.0198)	Prec@1 46.000 (47.810)	Prec@5 79.500 (78.282)
Epoch: [46][3080/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8945 (2.0200)	Prec@1 52.000 (47.806)	Prec@5 80.500 (78.281)
Epoch: [46][3090/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9859 (2.0202)	Prec@1 49.000 (47.805)	Prec@5 78.500 (78.277)
Epoch: [46][3100/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.2501 (2.0200)	Prec@1 43.000 (47.810)	Prec@5 73.000 (78.283)
Epoch: [46][3110/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 2.3262 (2.0201)	Prec@1 40.500 (47.811)	Prec@5 71.000 (78.279)
Epoch: [46][3120/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0286 (2.0202)	Prec@1 43.500 (47.810)	Prec@5 77.500 (78.277)
Epoch: [46][3130/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3097 (2.0204)	Prec@1 39.500 (47.807)	Prec@5 71.000 (78.271)
Epoch: [46][3140/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0077 (2.0204)	Prec@1 49.500 (47.804)	Prec@5 75.500 (78.267)
Epoch: [46][3150/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 2.1799 (2.0204)	Prec@1 45.500 (47.806)	Prec@5 76.000 (78.267)
Epoch: [46][3160/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1041 (2.0206)	Prec@1 49.500 (47.802)	Prec@5 72.500 (78.263)
Epoch: [46][3170/9018]	Time 0.617 (0.615)	Data 0.005 (0.001)	Loss 2.3307 (2.0206)	Prec@1 42.500 (47.806)	Prec@5 74.500 (78.264)
Epoch: [46][3180/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.2588 (2.0205)	Prec@1 41.000 (47.806)	Prec@5 74.000 (78.265)
Epoch: [46][3190/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.3703 (2.0208)	Prec@1 41.000 (47.797)	Prec@5 71.500 (78.259)
Epoch: [46][3200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0620 (2.0208)	Prec@1 48.500 (47.796)	Prec@5 79.000 (78.261)
Epoch: [46][3210/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0497 (2.0208)	Prec@1 50.000 (47.794)	Prec@5 77.000 (78.257)
Epoch: [46][3220/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0104 (2.0207)	Prec@1 49.000 (47.795)	Prec@5 81.500 (78.262)
Epoch: [46][3230/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.1449 (2.0209)	Prec@1 44.500 (47.792)	Prec@5 76.500 (78.255)
Epoch: [46][3240/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.0623 (2.0209)	Prec@1 47.000 (47.795)	Prec@5 76.000 (78.254)
Epoch: [46][3250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1235 (2.0210)	Prec@1 45.500 (47.793)	Prec@5 80.000 (78.253)
Epoch: [46][3260/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.2592 (2.0212)	Prec@1 42.500 (47.795)	Prec@5 76.500 (78.250)
Epoch: [46][3270/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2350 (2.0212)	Prec@1 43.000 (47.792)	Prec@5 75.500 (78.249)
Epoch: [46][3280/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0746 (2.0211)	Prec@1 47.500 (47.794)	Prec@5 76.500 (78.254)
Epoch: [46][3290/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1495 (2.0212)	Prec@1 41.500 (47.790)	Prec@5 79.500 (78.254)
Epoch: [46][3300/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.0833 (2.0214)	Prec@1 49.500 (47.789)	Prec@5 75.500 (78.252)
Epoch: [46][3310/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.1100 (2.0214)	Prec@1 45.500 (47.787)	Prec@5 75.500 (78.252)
Epoch: [46][3320/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9543 (2.0211)	Prec@1 48.000 (47.796)	Prec@5 81.000 (78.258)
Epoch: [46][3330/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0195 (2.0211)	Prec@1 44.500 (47.795)	Prec@5 79.500 (78.258)
Epoch: [46][3340/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7978 (2.0211)	Prec@1 51.000 (47.791)	Prec@5 81.500 (78.257)
Epoch: [46][3350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0476 (2.0211)	Prec@1 47.500 (47.793)	Prec@5 77.000 (78.259)
Epoch: [46][3360/9018]	Time 0.714 (0.615)	Data 0.001 (0.001)	Loss 2.1656 (2.0213)	Prec@1 39.000 (47.789)	Prec@5 78.000 (78.258)
Epoch: [46][3370/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.9020 (2.0213)	Prec@1 50.500 (47.786)	Prec@5 81.000 (78.256)
Epoch: [46][3380/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0277 (2.0214)	Prec@1 50.500 (47.783)	Prec@5 77.000 (78.253)
Epoch: [46][3390/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2015 (2.0215)	Prec@1 42.500 (47.779)	Prec@5 76.500 (78.248)
Epoch: [46][3400/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8342 (2.0217)	Prec@1 53.000 (47.774)	Prec@5 81.500 (78.244)
Epoch: [46][3410/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1212 (2.0217)	Prec@1 44.000 (47.769)	Prec@5 79.000 (78.245)
Epoch: [46][3420/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.1861 (2.0218)	Prec@1 43.000 (47.766)	Prec@5 75.000 (78.243)
Epoch: [46][3430/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0716 (2.0219)	Prec@1 44.000 (47.761)	Prec@5 78.000 (78.242)
Epoch: [46][3440/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0347 (2.0220)	Prec@1 47.000 (47.759)	Prec@5 79.500 (78.242)
Epoch: [46][3450/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.0143 (2.0219)	Prec@1 48.000 (47.762)	Prec@5 79.500 (78.247)
Epoch: [46][3460/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0200 (2.0220)	Prec@1 51.500 (47.762)	Prec@5 79.500 (78.243)
Epoch: [46][3470/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0263 (2.0221)	Prec@1 51.500 (47.760)	Prec@5 77.500 (78.240)
Epoch: [46][3480/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8994 (2.0222)	Prec@1 58.000 (47.758)	Prec@5 79.500 (78.239)
Epoch: [46][3490/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0031 (2.0222)	Prec@1 50.500 (47.762)	Prec@5 76.500 (78.237)
Epoch: [46][3500/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.9834 (2.0221)	Prec@1 47.000 (47.766)	Prec@5 83.000 (78.239)
Epoch: [46][3510/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1951 (2.0222)	Prec@1 43.000 (47.766)	Prec@5 78.000 (78.239)
Epoch: [46][3520/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0595 (2.0221)	Prec@1 51.500 (47.766)	Prec@5 76.500 (78.239)
Epoch: [46][3530/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0221 (2.0221)	Prec@1 44.000 (47.766)	Prec@5 79.000 (78.240)
Epoch: [46][3540/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9305 (2.0223)	Prec@1 50.500 (47.763)	Prec@5 80.500 (78.238)
Epoch: [46][3550/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.8208 (2.0222)	Prec@1 50.500 (47.766)	Prec@5 84.500 (78.238)
Epoch: [46][3560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9764 (2.0223)	Prec@1 48.500 (47.765)	Prec@5 77.500 (78.234)
Epoch: [46][3570/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.1150 (2.0224)	Prec@1 47.500 (47.766)	Prec@5 74.500 (78.233)
Epoch: [46][3580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0269 (2.0223)	Prec@1 56.000 (47.768)	Prec@5 75.000 (78.232)
Epoch: [46][3590/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0816 (2.0225)	Prec@1 46.000 (47.765)	Prec@5 76.500 (78.226)
Epoch: [46][3600/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9908 (2.0227)	Prec@1 46.000 (47.757)	Prec@5 78.000 (78.222)
Epoch: [46][3610/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.2328 (2.0226)	Prec@1 45.000 (47.759)	Prec@5 78.500 (78.224)
Epoch: [46][3620/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9152 (2.0225)	Prec@1 45.500 (47.756)	Prec@5 77.000 (78.224)
Epoch: [46][3630/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1766 (2.0228)	Prec@1 46.000 (47.753)	Prec@5 75.500 (78.217)
Epoch: [46][3640/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.0497 (2.0229)	Prec@1 45.000 (47.750)	Prec@5 76.500 (78.215)
Epoch: [46][3650/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1102 (2.0229)	Prec@1 42.000 (47.744)	Prec@5 74.000 (78.213)
Epoch: [46][3660/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1005 (2.0231)	Prec@1 46.000 (47.741)	Prec@5 78.000 (78.210)
Epoch: [46][3670/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0376 (2.0231)	Prec@1 43.000 (47.741)	Prec@5 77.500 (78.211)
Epoch: [46][3680/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8830 (2.0230)	Prec@1 47.000 (47.741)	Prec@5 82.000 (78.214)
Epoch: [46][3690/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 2.0448 (2.0231)	Prec@1 50.000 (47.738)	Prec@5 75.500 (78.212)
Epoch: [46][3700/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0635 (2.0232)	Prec@1 45.500 (47.738)	Prec@5 76.500 (78.211)
Epoch: [46][3710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.4046 (2.0231)	Prec@1 43.000 (47.744)	Prec@5 72.500 (78.209)
Epoch: [46][3720/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.0228 (2.0232)	Prec@1 51.000 (47.744)	Prec@5 77.000 (78.209)
Epoch: [46][3730/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1753 (2.0232)	Prec@1 43.500 (47.744)	Prec@5 78.500 (78.209)
Epoch: [46][3740/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9077 (2.0231)	Prec@1 51.000 (47.746)	Prec@5 77.500 (78.208)
Epoch: [46][3750/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9106 (2.0232)	Prec@1 49.000 (47.743)	Prec@5 82.500 (78.206)
Epoch: [46][3760/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0823 (2.0233)	Prec@1 43.000 (47.742)	Prec@5 80.000 (78.208)
Epoch: [46][3770/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1740 (2.0236)	Prec@1 47.000 (47.733)	Prec@5 72.000 (78.200)
Epoch: [46][3780/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.8898 (2.0236)	Prec@1 49.500 (47.730)	Prec@5 83.500 (78.200)
Epoch: [46][3790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0375 (2.0234)	Prec@1 47.500 (47.738)	Prec@5 79.500 (78.201)
Epoch: [46][3800/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9887 (2.0234)	Prec@1 47.000 (47.739)	Prec@5 81.000 (78.203)
Epoch: [46][3810/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1604 (2.0235)	Prec@1 47.000 (47.733)	Prec@5 76.500 (78.204)
Epoch: [46][3820/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8591 (2.0234)	Prec@1 50.000 (47.733)	Prec@5 82.500 (78.206)
Epoch: [46][3830/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1493 (2.0237)	Prec@1 44.000 (47.725)	Prec@5 76.000 (78.202)
Epoch: [46][3840/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0839 (2.0236)	Prec@1 45.000 (47.727)	Prec@5 76.000 (78.202)
Epoch: [46][3850/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0199 (2.0236)	Prec@1 48.500 (47.726)	Prec@5 77.500 (78.204)
Epoch: [46][3860/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1348 (2.0237)	Prec@1 46.000 (47.725)	Prec@5 78.500 (78.203)
Epoch: [46][3870/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.1413 (2.0238)	Prec@1 41.000 (47.720)	Prec@5 73.500 (78.201)
Epoch: [46][3880/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9824 (2.0240)	Prec@1 48.000 (47.719)	Prec@5 82.000 (78.199)
Epoch: [46][3890/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2778 (2.0242)	Prec@1 45.000 (47.714)	Prec@5 75.500 (78.194)
Epoch: [46][3900/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8636 (2.0241)	Prec@1 52.000 (47.716)	Prec@5 81.500 (78.195)
Epoch: [46][3910/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1808 (2.0241)	Prec@1 45.000 (47.715)	Prec@5 74.000 (78.196)
Epoch: [46][3920/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.1058 (2.0241)	Prec@1 43.000 (47.713)	Prec@5 78.000 (78.193)
Epoch: [46][3930/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0619 (2.0242)	Prec@1 46.500 (47.709)	Prec@5 81.500 (78.194)
Epoch: [46][3940/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1480 (2.0242)	Prec@1 48.500 (47.709)	Prec@5 77.000 (78.191)
Epoch: [46][3950/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1638 (2.0243)	Prec@1 47.000 (47.705)	Prec@5 76.000 (78.191)
Epoch: [46][3960/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2450 (2.0243)	Prec@1 43.500 (47.703)	Prec@5 74.000 (78.189)
Epoch: [46][3970/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 1.9119 (2.0243)	Prec@1 49.000 (47.707)	Prec@5 81.500 (78.191)
Epoch: [46][3980/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2005 (2.0243)	Prec@1 43.000 (47.708)	Prec@5 76.500 (78.192)
Epoch: [46][3990/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.8700 (2.0242)	Prec@1 47.000 (47.709)	Prec@5 82.000 (78.193)
Epoch: [46][4000/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9849 (2.0242)	Prec@1 50.000 (47.709)	Prec@5 79.000 (78.193)
Epoch: [46][4010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9916 (2.0242)	Prec@1 48.000 (47.710)	Prec@5 78.000 (78.195)
Epoch: [46][4020/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 1.9531 (2.0242)	Prec@1 53.000 (47.712)	Prec@5 77.500 (78.194)
Epoch: [46][4030/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9876 (2.0241)	Prec@1 51.000 (47.715)	Prec@5 78.000 (78.195)
Epoch: [46][4040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0252 (2.0240)	Prec@1 46.000 (47.718)	Prec@5 79.000 (78.193)
Epoch: [46][4050/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.1209 (2.0241)	Prec@1 47.000 (47.715)	Prec@5 73.500 (78.191)
Epoch: [46][4060/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9677 (2.0241)	Prec@1 48.000 (47.717)	Prec@5 79.500 (78.190)
Epoch: [46][4070/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2287 (2.0243)	Prec@1 46.500 (47.714)	Prec@5 75.000 (78.187)
Epoch: [46][4080/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0956 (2.0244)	Prec@1 46.000 (47.709)	Prec@5 73.500 (78.186)
Epoch: [46][4090/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0682 (2.0245)	Prec@1 46.000 (47.708)	Prec@5 77.000 (78.186)
Epoch: [46][4100/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8507 (2.0245)	Prec@1 55.000 (47.711)	Prec@5 82.000 (78.187)
Epoch: [46][4110/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.9281 (2.0246)	Prec@1 50.500 (47.711)	Prec@5 77.000 (78.183)
Epoch: [46][4120/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9333 (2.0245)	Prec@1 53.000 (47.709)	Prec@5 81.000 (78.186)
Epoch: [46][4130/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.2210 (2.0246)	Prec@1 41.500 (47.706)	Prec@5 74.500 (78.182)
Epoch: [46][4140/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1453 (2.0246)	Prec@1 44.000 (47.705)	Prec@5 76.000 (78.183)
Epoch: [46][4150/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0348 (2.0245)	Prec@1 43.000 (47.708)	Prec@5 77.000 (78.185)
Epoch: [46][4160/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8820 (2.0244)	Prec@1 51.500 (47.708)	Prec@5 80.000 (78.185)
Epoch: [46][4170/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.8841 (2.0244)	Prec@1 49.500 (47.713)	Prec@5 83.000 (78.185)
Epoch: [46][4180/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 2.1674 (2.0244)	Prec@1 48.000 (47.713)	Prec@5 75.500 (78.184)
Epoch: [46][4190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2324 (2.0245)	Prec@1 43.500 (47.712)	Prec@5 76.500 (78.181)
Epoch: [46][4200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1257 (2.0245)	Prec@1 44.000 (47.710)	Prec@5 75.500 (78.183)
Epoch: [46][4210/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9948 (2.0247)	Prec@1 49.500 (47.708)	Prec@5 81.000 (78.180)
Epoch: [46][4220/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.2099 (2.0246)	Prec@1 46.000 (47.708)	Prec@5 76.000 (78.183)
Epoch: [46][4230/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.7976 (2.0244)	Prec@1 52.000 (47.713)	Prec@5 80.500 (78.186)
Epoch: [46][4240/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9967 (2.0244)	Prec@1 46.000 (47.711)	Prec@5 80.500 (78.187)
Epoch: [46][4250/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1464 (2.0246)	Prec@1 42.000 (47.709)	Prec@5 79.000 (78.187)
Epoch: [46][4260/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0052 (2.0247)	Prec@1 46.500 (47.709)	Prec@5 77.500 (78.188)
Epoch: [46][4270/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1196 (2.0247)	Prec@1 51.000 (47.711)	Prec@5 77.000 (78.189)
Epoch: [46][4280/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9907 (2.0248)	Prec@1 47.000 (47.711)	Prec@5 84.000 (78.189)
Epoch: [46][4290/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9203 (2.0246)	Prec@1 48.000 (47.715)	Prec@5 80.000 (78.194)
Epoch: [46][4300/9018]	Time 0.728 (0.615)	Data 0.001 (0.001)	Loss 2.1028 (2.0246)	Prec@1 47.500 (47.713)	Prec@5 77.000 (78.195)
Epoch: [46][4310/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.1902 (2.0248)	Prec@1 45.000 (47.709)	Prec@5 75.000 (78.193)
Epoch: [46][4320/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1738 (2.0250)	Prec@1 48.500 (47.706)	Prec@5 75.500 (78.192)
Epoch: [46][4330/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.8616 (2.0250)	Prec@1 52.500 (47.706)	Prec@5 78.000 (78.191)
Epoch: [46][4340/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1165 (2.0250)	Prec@1 49.000 (47.708)	Prec@5 78.000 (78.192)
Epoch: [46][4350/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 2.0105 (2.0249)	Prec@1 48.000 (47.707)	Prec@5 79.500 (78.191)
Epoch: [46][4360/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0270 (2.0249)	Prec@1 47.500 (47.705)	Prec@5 75.500 (78.190)
Epoch: [46][4370/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.7582 (2.0248)	Prec@1 51.500 (47.709)	Prec@5 82.000 (78.193)
Epoch: [46][4380/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.8907 (2.0247)	Prec@1 52.000 (47.712)	Prec@5 78.500 (78.195)
Epoch: [46][4390/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0741 (2.0246)	Prec@1 48.500 (47.715)	Prec@5 77.000 (78.197)
Epoch: [46][4400/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2688 (2.0246)	Prec@1 35.000 (47.713)	Prec@5 71.000 (78.196)
Epoch: [46][4410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9216 (2.0243)	Prec@1 46.000 (47.714)	Prec@5 80.000 (78.201)
Epoch: [46][4420/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9486 (2.0244)	Prec@1 51.500 (47.713)	Prec@5 76.000 (78.200)
Epoch: [46][4430/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0164 (2.0245)	Prec@1 45.500 (47.711)	Prec@5 75.500 (78.198)
Epoch: [46][4440/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.1194 (2.0245)	Prec@1 47.000 (47.711)	Prec@5 76.000 (78.198)
Epoch: [46][4450/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0961 (2.0244)	Prec@1 46.500 (47.713)	Prec@5 75.500 (78.198)
Epoch: [46][4460/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.0506 (2.0246)	Prec@1 43.000 (47.708)	Prec@5 80.000 (78.196)
Epoch: [46][4470/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1042 (2.0245)	Prec@1 46.500 (47.707)	Prec@5 81.000 (78.195)
Epoch: [46][4480/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1330 (2.0247)	Prec@1 48.000 (47.705)	Prec@5 79.500 (78.194)
Epoch: [46][4490/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1258 (2.0247)	Prec@1 46.500 (47.705)	Prec@5 75.000 (78.193)
Epoch: [46][4500/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2347 (2.0247)	Prec@1 45.500 (47.707)	Prec@5 74.000 (78.194)
Epoch: [46][4510/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8160 (2.0247)	Prec@1 52.000 (47.704)	Prec@5 81.500 (78.195)
Epoch: [46][4520/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1158 (2.0247)	Prec@1 49.500 (47.704)	Prec@5 78.000 (78.195)
Epoch: [46][4530/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.0997 (2.0249)	Prec@1 41.500 (47.703)	Prec@5 76.500 (78.194)
Epoch: [46][4540/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9626 (2.0248)	Prec@1 51.000 (47.703)	Prec@5 79.000 (78.194)
Epoch: [46][4550/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0794 (2.0249)	Prec@1 41.500 (47.701)	Prec@5 80.000 (78.195)
Epoch: [46][4560/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9504 (2.0249)	Prec@1 44.500 (47.699)	Prec@5 82.500 (78.194)
Epoch: [46][4570/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2403 (2.0249)	Prec@1 45.000 (47.702)	Prec@5 74.500 (78.194)
Epoch: [46][4580/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.0933 (2.0249)	Prec@1 42.500 (47.703)	Prec@5 78.000 (78.194)
Epoch: [46][4590/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9364 (2.0248)	Prec@1 53.000 (47.706)	Prec@5 79.000 (78.198)
Epoch: [46][4600/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 2.0050 (2.0246)	Prec@1 48.500 (47.707)	Prec@5 80.500 (78.202)
Epoch: [46][4610/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.1425 (2.0248)	Prec@1 46.500 (47.702)	Prec@5 76.500 (78.202)
Epoch: [46][4620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2329 (2.0248)	Prec@1 48.500 (47.704)	Prec@5 73.500 (78.199)
Epoch: [46][4630/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 2.0378 (2.0247)	Prec@1 49.000 (47.707)	Prec@5 76.000 (78.199)
Epoch: [46][4640/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0902 (2.0247)	Prec@1 45.000 (47.704)	Prec@5 80.500 (78.200)
Epoch: [46][4650/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0585 (2.0247)	Prec@1 46.000 (47.704)	Prec@5 76.000 (78.200)
Epoch: [46][4660/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.8788 (2.0248)	Prec@1 49.500 (47.704)	Prec@5 80.000 (78.195)
Epoch: [46][4670/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1316 (2.0249)	Prec@1 42.000 (47.700)	Prec@5 75.000 (78.193)
Epoch: [46][4680/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 2.3969 (2.0250)	Prec@1 42.500 (47.701)	Prec@5 71.000 (78.192)
Epoch: [46][4690/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0857 (2.0249)	Prec@1 45.000 (47.701)	Prec@5 74.000 (78.192)
Epoch: [46][4700/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1960 (2.0249)	Prec@1 41.000 (47.700)	Prec@5 77.500 (78.190)
Epoch: [46][4710/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0167 (2.0247)	Prec@1 48.000 (47.704)	Prec@5 77.000 (78.191)
Epoch: [46][4720/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0700 (2.0247)	Prec@1 48.000 (47.701)	Prec@5 76.000 (78.191)
Epoch: [46][4730/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2523 (2.0249)	Prec@1 40.500 (47.699)	Prec@5 74.000 (78.190)
Epoch: [46][4740/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0293 (2.0249)	Prec@1 50.500 (47.700)	Prec@5 77.500 (78.191)
Epoch: [46][4750/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1014 (2.0249)	Prec@1 49.500 (47.699)	Prec@5 77.000 (78.188)
Epoch: [46][4760/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9385 (2.0248)	Prec@1 46.500 (47.702)	Prec@5 78.500 (78.189)
Epoch: [46][4770/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0327 (2.0247)	Prec@1 47.000 (47.701)	Prec@5 78.000 (78.193)
Epoch: [46][4780/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9367 (2.0247)	Prec@1 42.500 (47.697)	Prec@5 79.500 (78.193)
Epoch: [46][4790/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.0363 (2.0248)	Prec@1 43.500 (47.694)	Prec@5 78.000 (78.194)
Epoch: [46][4800/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8638 (2.0248)	Prec@1 53.000 (47.694)	Prec@5 81.000 (78.197)
Epoch: [46][4810/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7021 (2.0248)	Prec@1 55.500 (47.692)	Prec@5 85.500 (78.197)
Epoch: [46][4820/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8809 (2.0248)	Prec@1 53.000 (47.693)	Prec@5 77.500 (78.197)
Epoch: [46][4830/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.1274 (2.0248)	Prec@1 49.000 (47.692)	Prec@5 76.500 (78.197)
Epoch: [46][4840/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9558 (2.0248)	Prec@1 47.000 (47.692)	Prec@5 77.500 (78.194)
Epoch: [46][4850/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1954 (2.0249)	Prec@1 46.000 (47.690)	Prec@5 77.000 (78.195)
Epoch: [46][4860/9018]	Time 0.652 (0.615)	Data 0.001 (0.001)	Loss 2.0354 (2.0249)	Prec@1 47.000 (47.691)	Prec@5 76.000 (78.193)
Epoch: [46][4870/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8198 (2.0249)	Prec@1 51.000 (47.692)	Prec@5 85.500 (78.194)
Epoch: [46][4880/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0966 (2.0250)	Prec@1 45.000 (47.689)	Prec@5 72.500 (78.191)
Epoch: [46][4890/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.8551 (2.0249)	Prec@1 54.500 (47.690)	Prec@5 81.000 (78.193)
Epoch: [46][4900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9337 (2.0249)	Prec@1 49.000 (47.691)	Prec@5 81.000 (78.194)
Epoch: [46][4910/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.9805 (2.0249)	Prec@1 49.000 (47.689)	Prec@5 76.000 (78.193)
Epoch: [46][4920/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.1823 (2.0252)	Prec@1 46.000 (47.685)	Prec@5 75.500 (78.190)
Epoch: [46][4930/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.0063 (2.0252)	Prec@1 46.000 (47.685)	Prec@5 79.000 (78.189)
Epoch: [46][4940/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.2632 (2.0253)	Prec@1 43.000 (47.683)	Prec@5 75.000 (78.186)
Epoch: [46][4950/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.9479 (2.0253)	Prec@1 46.500 (47.684)	Prec@5 82.500 (78.188)
Epoch: [46][4960/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 1.8895 (2.0254)	Prec@1 49.500 (47.682)	Prec@5 81.500 (78.188)
Epoch: [46][4970/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9228 (2.0253)	Prec@1 47.000 (47.684)	Prec@5 81.500 (78.191)
Epoch: [46][4980/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 2.0150 (2.0253)	Prec@1 48.000 (47.684)	Prec@5 78.000 (78.190)
Epoch: [46][4990/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3151 (2.0254)	Prec@1 43.000 (47.684)	Prec@5 75.500 (78.187)
Epoch: [46][5000/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0056 (2.0255)	Prec@1 44.500 (47.679)	Prec@5 78.500 (78.187)
Epoch: [46][5010/9018]	Time 0.711 (0.615)	Data 0.001 (0.001)	Loss 2.0371 (2.0255)	Prec@1 46.000 (47.679)	Prec@5 78.500 (78.188)
Epoch: [46][5020/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9956 (2.0255)	Prec@1 46.500 (47.680)	Prec@5 76.500 (78.187)
Epoch: [46][5030/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0569 (2.0254)	Prec@1 42.000 (47.682)	Prec@5 76.000 (78.188)
Epoch: [46][5040/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 2.0983 (2.0255)	Prec@1 45.500 (47.680)	Prec@5 77.000 (78.188)
Epoch: [46][5050/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1217 (2.0254)	Prec@1 43.500 (47.683)	Prec@5 78.500 (78.191)
Epoch: [46][5060/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0569 (2.0255)	Prec@1 51.000 (47.685)	Prec@5 77.500 (78.191)
Epoch: [46][5070/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.1628 (2.0253)	Prec@1 47.500 (47.688)	Prec@5 76.000 (78.193)
Epoch: [46][5080/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1522 (2.0254)	Prec@1 46.500 (47.683)	Prec@5 74.500 (78.194)
Epoch: [46][5090/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9334 (2.0255)	Prec@1 50.500 (47.681)	Prec@5 80.000 (78.192)
Epoch: [46][5100/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2959 (2.0256)	Prec@1 43.500 (47.681)	Prec@5 74.500 (78.192)
Epoch: [46][5110/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.7327 (2.0254)	Prec@1 56.000 (47.683)	Prec@5 80.500 (78.194)
Epoch: [46][5120/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.0721 (2.0255)	Prec@1 46.500 (47.680)	Prec@5 78.500 (78.192)
Epoch: [46][5130/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0329 (2.0256)	Prec@1 47.000 (47.679)	Prec@5 80.000 (78.192)
Epoch: [46][5140/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.8799 (2.0256)	Prec@1 48.000 (47.676)	Prec@5 80.000 (78.192)
Epoch: [46][5150/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.2150 (2.0256)	Prec@1 45.500 (47.676)	Prec@5 73.500 (78.193)
Epoch: [46][5160/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2088 (2.0257)	Prec@1 49.500 (47.672)	Prec@5 74.000 (78.191)
Epoch: [46][5170/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.8378 (2.0258)	Prec@1 49.000 (47.671)	Prec@5 79.500 (78.191)
Epoch: [46][5180/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.1070 (2.0257)	Prec@1 48.500 (47.674)	Prec@5 76.500 (78.191)
Epoch: [46][5190/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9378 (2.0256)	Prec@1 53.000 (47.676)	Prec@5 79.500 (78.194)
Epoch: [46][5200/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1519 (2.0258)	Prec@1 42.000 (47.671)	Prec@5 77.000 (78.190)
Epoch: [46][5210/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0493 (2.0259)	Prec@1 48.000 (47.673)	Prec@5 77.000 (78.187)
Epoch: [46][5220/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.2854 (2.0260)	Prec@1 45.000 (47.672)	Prec@5 72.500 (78.184)
Epoch: [46][5230/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0911 (2.0261)	Prec@1 47.500 (47.671)	Prec@5 76.000 (78.182)
Epoch: [46][5240/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1971 (2.0261)	Prec@1 42.500 (47.669)	Prec@5 70.500 (78.179)
Epoch: [46][5250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0040 (2.0261)	Prec@1 44.500 (47.668)	Prec@5 80.000 (78.179)
Epoch: [46][5260/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2564 (2.0262)	Prec@1 45.500 (47.668)	Prec@5 73.500 (78.178)
Epoch: [46][5270/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.1807 (2.0262)	Prec@1 43.000 (47.668)	Prec@5 74.500 (78.176)
Epoch: [46][5280/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7639 (2.0262)	Prec@1 54.000 (47.669)	Prec@5 84.000 (78.178)
Epoch: [46][5290/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.0204 (2.0262)	Prec@1 45.500 (47.668)	Prec@5 79.000 (78.179)
Epoch: [46][5300/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.9822 (2.0261)	Prec@1 52.000 (47.672)	Prec@5 78.000 (78.179)
Epoch: [46][5310/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1229 (2.0261)	Prec@1 46.000 (47.673)	Prec@5 75.000 (78.180)
Epoch: [46][5320/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.8496 (2.0261)	Prec@1 52.000 (47.674)	Prec@5 82.500 (78.180)
Epoch: [46][5330/9018]	Time 0.605 (0.615)	Data 0.002 (0.001)	Loss 2.0791 (2.0261)	Prec@1 45.500 (47.674)	Prec@5 78.000 (78.179)
Epoch: [46][5340/9018]	Time 0.744 (0.615)	Data 0.001 (0.001)	Loss 2.0058 (2.0262)	Prec@1 48.000 (47.673)	Prec@5 77.500 (78.177)
Epoch: [46][5350/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0486 (2.0261)	Prec@1 46.500 (47.673)	Prec@5 76.000 (78.178)
Epoch: [46][5360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0326 (2.0262)	Prec@1 50.500 (47.673)	Prec@5 78.000 (78.178)
Epoch: [46][5370/9018]	Time 0.647 (0.615)	Data 0.001 (0.001)	Loss 2.0170 (2.0261)	Prec@1 51.000 (47.677)	Prec@5 77.500 (78.179)
Epoch: [46][5380/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0222 (2.0261)	Prec@1 45.500 (47.675)	Prec@5 77.000 (78.178)
Epoch: [46][5390/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9752 (2.0262)	Prec@1 50.500 (47.673)	Prec@5 79.500 (78.178)
Epoch: [46][5400/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9078 (2.0262)	Prec@1 48.500 (47.673)	Prec@5 79.500 (78.179)
Epoch: [46][5410/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1736 (2.0264)	Prec@1 47.500 (47.670)	Prec@5 79.000 (78.178)
Epoch: [46][5420/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.2514 (2.0265)	Prec@1 39.000 (47.667)	Prec@5 76.000 (78.176)
Epoch: [46][5430/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9001 (2.0265)	Prec@1 51.000 (47.666)	Prec@5 76.500 (78.174)
Epoch: [46][5440/9018]	Time 0.595 (0.615)	Data 0.003 (0.001)	Loss 2.1842 (2.0265)	Prec@1 42.500 (47.667)	Prec@5 75.000 (78.174)
Epoch: [46][5450/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.9190 (2.0265)	Prec@1 51.000 (47.664)	Prec@5 82.500 (78.176)
Epoch: [46][5460/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0632 (2.0267)	Prec@1 44.500 (47.658)	Prec@5 77.500 (78.172)
Epoch: [46][5470/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1396 (2.0268)	Prec@1 47.500 (47.657)	Prec@5 72.000 (78.168)
Epoch: [46][5480/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2815 (2.0268)	Prec@1 46.000 (47.657)	Prec@5 75.500 (78.169)
Epoch: [46][5490/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2074 (2.0270)	Prec@1 43.500 (47.653)	Prec@5 74.500 (78.167)
Epoch: [46][5500/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.8877 (2.0271)	Prec@1 53.000 (47.654)	Prec@5 81.500 (78.163)
Epoch: [46][5510/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3166 (2.0272)	Prec@1 42.000 (47.651)	Prec@5 72.000 (78.159)
Epoch: [46][5520/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9103 (2.0272)	Prec@1 49.500 (47.651)	Prec@5 80.500 (78.161)
Epoch: [46][5530/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0423 (2.0271)	Prec@1 48.000 (47.651)	Prec@5 77.000 (78.161)
Epoch: [46][5540/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.9224 (2.0271)	Prec@1 46.000 (47.649)	Prec@5 83.000 (78.161)
Epoch: [46][5550/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 2.0074 (2.0271)	Prec@1 50.000 (47.649)	Prec@5 80.500 (78.163)
Epoch: [46][5560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9181 (2.0270)	Prec@1 47.000 (47.651)	Prec@5 79.500 (78.163)
Epoch: [46][5570/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 2.3961 (2.0270)	Prec@1 38.500 (47.652)	Prec@5 67.000 (78.161)
Epoch: [46][5580/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1102 (2.0271)	Prec@1 45.500 (47.652)	Prec@5 78.000 (78.162)
Epoch: [46][5590/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9735 (2.0271)	Prec@1 46.500 (47.653)	Prec@5 79.500 (78.162)
Epoch: [46][5600/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9920 (2.0272)	Prec@1 49.000 (47.652)	Prec@5 78.500 (78.159)
Epoch: [46][5610/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9314 (2.0273)	Prec@1 47.500 (47.652)	Prec@5 80.000 (78.158)
Epoch: [46][5620/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 1.8918 (2.0273)	Prec@1 45.500 (47.651)	Prec@5 81.500 (78.157)
Epoch: [46][5630/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.9608 (2.0273)	Prec@1 47.500 (47.652)	Prec@5 82.500 (78.157)
Epoch: [46][5640/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0773 (2.0273)	Prec@1 47.000 (47.650)	Prec@5 76.000 (78.155)
Epoch: [46][5650/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0852 (2.0274)	Prec@1 48.000 (47.647)	Prec@5 76.500 (78.151)
Epoch: [46][5660/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0867 (2.0275)	Prec@1 49.000 (47.645)	Prec@5 77.500 (78.148)
Epoch: [46][5670/9018]	Time 0.779 (0.615)	Data 0.001 (0.001)	Loss 2.0184 (2.0275)	Prec@1 46.500 (47.645)	Prec@5 77.500 (78.149)
Epoch: [46][5680/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0469 (2.0276)	Prec@1 47.000 (47.644)	Prec@5 78.000 (78.147)
Epoch: [46][5690/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1279 (2.0276)	Prec@1 45.000 (47.645)	Prec@5 75.000 (78.148)
Epoch: [46][5700/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0087 (2.0277)	Prec@1 46.000 (47.642)	Prec@5 78.000 (78.145)
Epoch: [46][5710/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.8907 (2.0278)	Prec@1 47.000 (47.640)	Prec@5 82.500 (78.145)
Epoch: [46][5720/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.8442 (2.0277)	Prec@1 51.500 (47.644)	Prec@5 78.000 (78.144)
Epoch: [46][5730/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0620 (2.0277)	Prec@1 46.000 (47.644)	Prec@5 76.000 (78.143)
Epoch: [46][5740/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.0136 (2.0276)	Prec@1 49.500 (47.645)	Prec@5 78.000 (78.143)
Epoch: [46][5750/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1288 (2.0277)	Prec@1 46.000 (47.644)	Prec@5 76.000 (78.144)
Epoch: [46][5760/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9894 (2.0277)	Prec@1 48.000 (47.645)	Prec@5 77.000 (78.143)
Epoch: [46][5770/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.0896 (2.0277)	Prec@1 44.000 (47.645)	Prec@5 80.000 (78.143)
Epoch: [46][5780/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3106 (2.0276)	Prec@1 39.000 (47.645)	Prec@5 73.500 (78.144)
Epoch: [46][5790/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1172 (2.0276)	Prec@1 39.500 (47.643)	Prec@5 76.500 (78.144)
Epoch: [46][5800/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.1413 (2.0276)	Prec@1 44.500 (47.643)	Prec@5 81.000 (78.143)
Epoch: [46][5810/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0386 (2.0275)	Prec@1 52.500 (47.646)	Prec@5 76.000 (78.145)
Epoch: [46][5820/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0347 (2.0276)	Prec@1 45.000 (47.645)	Prec@5 79.500 (78.143)
Epoch: [46][5830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0403 (2.0276)	Prec@1 51.500 (47.647)	Prec@5 74.500 (78.142)
Epoch: [46][5840/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1820 (2.0277)	Prec@1 47.500 (47.648)	Prec@5 71.500 (78.140)
Epoch: [46][5850/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9468 (2.0277)	Prec@1 47.500 (47.649)	Prec@5 81.500 (78.141)
Epoch: [46][5860/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.2937 (2.0277)	Prec@1 43.500 (47.649)	Prec@5 73.000 (78.143)
Epoch: [46][5870/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.1850 (2.0276)	Prec@1 43.500 (47.651)	Prec@5 77.500 (78.146)
Epoch: [46][5880/9018]	Time 0.627 (0.615)	Data 0.002 (0.001)	Loss 1.8847 (2.0275)	Prec@1 50.500 (47.653)	Prec@5 80.500 (78.148)
Epoch: [46][5890/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.1661 (2.0276)	Prec@1 44.000 (47.653)	Prec@5 76.000 (78.148)
Epoch: [46][5900/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9022 (2.0274)	Prec@1 48.000 (47.657)	Prec@5 80.000 (78.148)
Epoch: [46][5910/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7945 (2.0274)	Prec@1 54.000 (47.656)	Prec@5 82.500 (78.146)
Epoch: [46][5920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9279 (2.0273)	Prec@1 48.500 (47.657)	Prec@5 81.500 (78.149)
Epoch: [46][5930/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2953 (2.0273)	Prec@1 45.000 (47.656)	Prec@5 72.500 (78.149)
Epoch: [46][5940/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.5024 (2.0274)	Prec@1 40.000 (47.656)	Prec@5 67.500 (78.148)
Epoch: [46][5950/9018]	Time 0.817 (0.615)	Data 0.001 (0.001)	Loss 2.0475 (2.0274)	Prec@1 47.500 (47.658)	Prec@5 77.500 (78.148)
Epoch: [46][5960/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.9603 (2.0274)	Prec@1 48.000 (47.657)	Prec@5 76.000 (78.146)
Epoch: [46][5970/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.2225 (2.0275)	Prec@1 40.500 (47.656)	Prec@5 74.000 (78.145)
Epoch: [46][5980/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.9648 (2.0274)	Prec@1 47.500 (47.657)	Prec@5 80.000 (78.145)
Epoch: [46][5990/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.2568 (2.0276)	Prec@1 45.500 (47.656)	Prec@5 75.000 (78.144)
Epoch: [46][6000/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 1.9049 (2.0277)	Prec@1 48.500 (47.652)	Prec@5 82.000 (78.143)
Epoch: [46][6010/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.7804 (2.0277)	Prec@1 48.500 (47.651)	Prec@5 80.000 (78.141)
Epoch: [46][6020/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1203 (2.0276)	Prec@1 44.000 (47.654)	Prec@5 78.500 (78.142)
Epoch: [46][6030/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.8773 (2.0276)	Prec@1 48.000 (47.654)	Prec@5 84.000 (78.144)
Epoch: [46][6040/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9353 (2.0275)	Prec@1 49.000 (47.652)	Prec@5 80.000 (78.145)
Epoch: [46][6050/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8226 (2.0274)	Prec@1 50.000 (47.654)	Prec@5 80.500 (78.146)
Epoch: [46][6060/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8202 (2.0274)	Prec@1 51.500 (47.654)	Prec@5 88.000 (78.150)
Epoch: [46][6070/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.9935 (2.0274)	Prec@1 49.000 (47.654)	Prec@5 78.000 (78.148)
Epoch: [46][6080/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1392 (2.0275)	Prec@1 47.000 (47.651)	Prec@5 74.500 (78.147)
Epoch: [46][6090/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9578 (2.0275)	Prec@1 51.500 (47.653)	Prec@5 79.500 (78.149)
Epoch: [46][6100/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.0844 (2.0276)	Prec@1 44.000 (47.653)	Prec@5 78.500 (78.147)
Epoch: [46][6110/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.1749 (2.0276)	Prec@1 42.500 (47.652)	Prec@5 78.000 (78.148)
Epoch: [46][6120/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8944 (2.0277)	Prec@1 52.500 (47.649)	Prec@5 81.000 (78.145)
Epoch: [46][6130/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.2194 (2.0278)	Prec@1 43.500 (47.649)	Prec@5 74.500 (78.144)
Epoch: [46][6140/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.9036 (2.0277)	Prec@1 49.500 (47.649)	Prec@5 79.000 (78.145)
Epoch: [46][6150/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0576 (2.0277)	Prec@1 45.000 (47.650)	Prec@5 77.000 (78.144)
Epoch: [46][6160/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0231 (2.0278)	Prec@1 45.500 (47.650)	Prec@5 80.000 (78.145)
Epoch: [46][6170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1230 (2.0278)	Prec@1 43.500 (47.647)	Prec@5 73.500 (78.145)
Epoch: [46][6180/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0492 (2.0278)	Prec@1 46.500 (47.647)	Prec@5 81.500 (78.146)
Epoch: [46][6190/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1656 (2.0279)	Prec@1 42.000 (47.645)	Prec@5 76.000 (78.143)
Epoch: [46][6200/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.8784 (2.0280)	Prec@1 53.500 (47.645)	Prec@5 79.500 (78.140)
Epoch: [46][6210/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.0959 (2.0280)	Prec@1 51.500 (47.646)	Prec@5 76.500 (78.142)
Epoch: [46][6220/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2270 (2.0281)	Prec@1 41.000 (47.645)	Prec@5 73.500 (78.139)
Epoch: [46][6230/9018]	Time 0.768 (0.615)	Data 0.001 (0.001)	Loss 2.0420 (2.0281)	Prec@1 51.000 (47.648)	Prec@5 77.500 (78.140)
Epoch: [46][6240/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1660 (2.0282)	Prec@1 41.500 (47.647)	Prec@5 78.500 (78.139)
Epoch: [46][6250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2140 (2.0282)	Prec@1 46.500 (47.648)	Prec@5 78.000 (78.139)
Epoch: [46][6260/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.8723 (2.0281)	Prec@1 51.000 (47.649)	Prec@5 79.000 (78.140)
Epoch: [46][6270/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7781 (2.0282)	Prec@1 55.000 (47.648)	Prec@5 84.500 (78.141)
Epoch: [46][6280/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 2.1838 (2.0281)	Prec@1 46.000 (47.650)	Prec@5 74.000 (78.142)
Epoch: [46][6290/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0598 (2.0280)	Prec@1 48.500 (47.653)	Prec@5 81.000 (78.143)
Epoch: [46][6300/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9026 (2.0281)	Prec@1 53.500 (47.655)	Prec@5 80.000 (78.141)
Epoch: [46][6310/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9441 (2.0282)	Prec@1 53.000 (47.655)	Prec@5 83.000 (78.140)
Epoch: [46][6320/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1966 (2.0282)	Prec@1 43.500 (47.656)	Prec@5 76.500 (78.140)
Epoch: [46][6330/9018]	Time 0.647 (0.615)	Data 0.001 (0.001)	Loss 1.8194 (2.0282)	Prec@1 49.500 (47.656)	Prec@5 81.000 (78.141)
Epoch: [46][6340/9018]	Time 0.587 (0.615)	Data 0.001 (0.001)	Loss 2.1796 (2.0282)	Prec@1 48.000 (47.657)	Prec@5 75.500 (78.142)
Epoch: [46][6350/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.8836 (2.0282)	Prec@1 56.500 (47.657)	Prec@5 82.500 (78.143)
Epoch: [46][6360/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 2.2088 (2.0282)	Prec@1 43.500 (47.658)	Prec@5 77.000 (78.142)
Epoch: [46][6370/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2483 (2.0284)	Prec@1 43.000 (47.653)	Prec@5 75.000 (78.138)
Epoch: [46][6380/9018]	Time 0.632 (0.615)	Data 0.002 (0.001)	Loss 1.7984 (2.0284)	Prec@1 50.000 (47.654)	Prec@5 84.000 (78.139)
Epoch: [46][6390/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.1564 (2.0284)	Prec@1 47.000 (47.653)	Prec@5 71.000 (78.138)
Epoch: [46][6400/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9985 (2.0284)	Prec@1 42.500 (47.652)	Prec@5 78.500 (78.137)
Epoch: [46][6410/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1229 (2.0285)	Prec@1 41.500 (47.648)	Prec@5 75.500 (78.135)
Epoch: [46][6420/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9626 (2.0286)	Prec@1 51.500 (47.647)	Prec@5 77.500 (78.133)
Epoch: [46][6430/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6900 (2.0286)	Prec@1 54.000 (47.649)	Prec@5 85.500 (78.134)
Epoch: [46][6440/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0803 (2.0286)	Prec@1 46.500 (47.646)	Prec@5 75.500 (78.132)
Epoch: [46][6450/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0864 (2.0286)	Prec@1 43.000 (47.648)	Prec@5 78.000 (78.134)
Epoch: [46][6460/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9316 (2.0285)	Prec@1 50.000 (47.647)	Prec@5 80.000 (78.134)
Epoch: [46][6470/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0017 (2.0286)	Prec@1 48.500 (47.647)	Prec@5 78.000 (78.133)
Epoch: [46][6480/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7881 (2.0285)	Prec@1 49.000 (47.647)	Prec@5 82.500 (78.136)
Epoch: [46][6490/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.9215 (2.0285)	Prec@1 48.000 (47.649)	Prec@5 80.000 (78.136)
Epoch: [46][6500/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0023 (2.0284)	Prec@1 49.000 (47.649)	Prec@5 80.000 (78.141)
Epoch: [46][6510/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0962 (2.0285)	Prec@1 44.500 (47.649)	Prec@5 82.500 (78.141)
Epoch: [46][6520/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.7759 (2.0285)	Prec@1 52.000 (47.650)	Prec@5 82.000 (78.142)
Epoch: [46][6530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8459 (2.0285)	Prec@1 53.000 (47.651)	Prec@5 81.000 (78.143)
Epoch: [46][6540/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9749 (2.0285)	Prec@1 50.000 (47.650)	Prec@5 80.000 (78.142)
Epoch: [46][6550/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.2732 (2.0285)	Prec@1 45.000 (47.648)	Prec@5 75.500 (78.141)
Epoch: [46][6560/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 2.0273 (2.0286)	Prec@1 48.000 (47.649)	Prec@5 77.000 (78.141)
Epoch: [46][6570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1873 (2.0286)	Prec@1 40.500 (47.649)	Prec@5 76.000 (78.139)
Epoch: [46][6580/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 1.8739 (2.0286)	Prec@1 53.500 (47.649)	Prec@5 82.000 (78.141)
Epoch: [46][6590/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 2.1205 (2.0287)	Prec@1 47.000 (47.647)	Prec@5 78.500 (78.140)
Epoch: [46][6600/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9625 (2.0287)	Prec@1 47.000 (47.647)	Prec@5 79.500 (78.141)
Epoch: [46][6610/9018]	Time 0.752 (0.615)	Data 0.001 (0.001)	Loss 1.9694 (2.0288)	Prec@1 49.000 (47.646)	Prec@5 79.000 (78.139)
Epoch: [46][6620/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0654 (2.0289)	Prec@1 50.000 (47.644)	Prec@5 77.000 (78.136)
Epoch: [46][6630/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3134 (2.0289)	Prec@1 44.000 (47.645)	Prec@5 76.000 (78.137)
Epoch: [46][6640/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1135 (2.0289)	Prec@1 48.000 (47.646)	Prec@5 77.000 (78.137)
Epoch: [46][6650/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1696 (2.0289)	Prec@1 42.000 (47.646)	Prec@5 78.500 (78.138)
Epoch: [46][6660/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8532 (2.0289)	Prec@1 49.500 (47.648)	Prec@5 79.000 (78.139)
Epoch: [46][6670/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.8751 (2.0289)	Prec@1 51.500 (47.646)	Prec@5 79.000 (78.139)
Epoch: [46][6680/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8714 (2.0288)	Prec@1 53.500 (47.651)	Prec@5 80.000 (78.140)
Epoch: [46][6690/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 2.0624 (2.0289)	Prec@1 48.000 (47.649)	Prec@5 75.000 (78.138)
Epoch: [46][6700/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9536 (2.0289)	Prec@1 49.500 (47.647)	Prec@5 77.500 (78.136)
Epoch: [46][6710/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.0934 (2.0290)	Prec@1 47.000 (47.649)	Prec@5 77.000 (78.135)
Epoch: [46][6720/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2761 (2.0290)	Prec@1 40.000 (47.651)	Prec@5 73.500 (78.136)
Epoch: [46][6730/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.2938 (2.0290)	Prec@1 39.000 (47.650)	Prec@5 71.000 (78.136)
Epoch: [46][6740/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9978 (2.0289)	Prec@1 46.000 (47.650)	Prec@5 82.500 (78.136)
Epoch: [46][6750/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0520 (2.0289)	Prec@1 45.500 (47.649)	Prec@5 79.000 (78.137)
Epoch: [46][6760/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.3528 (2.0289)	Prec@1 40.500 (47.649)	Prec@5 73.000 (78.136)
Epoch: [46][6770/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.1767 (2.0291)	Prec@1 42.000 (47.646)	Prec@5 77.500 (78.133)
Epoch: [46][6780/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 1.9382 (2.0290)	Prec@1 51.000 (47.647)	Prec@5 81.500 (78.135)
Epoch: [46][6790/9018]	Time 0.645 (0.615)	Data 0.001 (0.001)	Loss 1.9617 (2.0290)	Prec@1 51.500 (47.648)	Prec@5 81.000 (78.135)
Epoch: [46][6800/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0042 (2.0289)	Prec@1 50.500 (47.650)	Prec@5 82.000 (78.138)
Epoch: [46][6810/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0155 (2.0291)	Prec@1 46.500 (47.647)	Prec@5 81.500 (78.136)
Epoch: [46][6820/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8880 (2.0292)	Prec@1 50.000 (47.644)	Prec@5 80.500 (78.133)
Epoch: [46][6830/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0042 (2.0291)	Prec@1 47.500 (47.645)	Prec@5 78.000 (78.133)
Epoch: [46][6840/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8780 (2.0291)	Prec@1 50.000 (47.643)	Prec@5 80.000 (78.133)
Epoch: [46][6850/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9500 (2.0291)	Prec@1 46.500 (47.643)	Prec@5 79.500 (78.134)
Epoch: [46][6860/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.0037 (2.0291)	Prec@1 47.000 (47.642)	Prec@5 78.000 (78.133)
Epoch: [46][6870/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2770 (2.0292)	Prec@1 44.500 (47.641)	Prec@5 71.000 (78.133)
Epoch: [46][6880/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1198 (2.0292)	Prec@1 46.000 (47.639)	Prec@5 80.000 (78.133)
Epoch: [46][6890/9018]	Time 0.762 (0.615)	Data 0.001 (0.001)	Loss 2.1750 (2.0294)	Prec@1 44.000 (47.637)	Prec@5 76.500 (78.129)
Epoch: [46][6900/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1717 (2.0295)	Prec@1 45.500 (47.637)	Prec@5 75.500 (78.127)
Epoch: [46][6910/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9343 (2.0294)	Prec@1 50.000 (47.637)	Prec@5 76.000 (78.127)
Epoch: [46][6920/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.9535 (2.0295)	Prec@1 49.000 (47.637)	Prec@5 81.000 (78.127)
Epoch: [46][6930/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.1494 (2.0296)	Prec@1 43.500 (47.634)	Prec@5 80.000 (78.125)
Epoch: [46][6940/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 1.8493 (2.0296)	Prec@1 47.500 (47.632)	Prec@5 84.500 (78.125)
Epoch: [46][6950/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.8998 (2.0297)	Prec@1 51.500 (47.631)	Prec@5 79.500 (78.125)
Epoch: [46][6960/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0318 (2.0297)	Prec@1 50.000 (47.631)	Prec@5 74.500 (78.123)
Epoch: [46][6970/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.9867 (2.0298)	Prec@1 47.000 (47.628)	Prec@5 79.000 (78.123)
Epoch: [46][6980/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1092 (2.0298)	Prec@1 52.000 (47.628)	Prec@5 77.500 (78.124)
Epoch: [46][6990/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.8645 (2.0299)	Prec@1 49.500 (47.626)	Prec@5 80.500 (78.123)
Epoch: [46][7000/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0851 (2.0300)	Prec@1 44.500 (47.623)	Prec@5 76.000 (78.120)
Epoch: [46][7010/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9231 (2.0300)	Prec@1 50.000 (47.622)	Prec@5 77.000 (78.118)
Epoch: [46][7020/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9832 (2.0299)	Prec@1 47.500 (47.624)	Prec@5 78.000 (78.119)
Epoch: [46][7030/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1109 (2.0299)	Prec@1 47.500 (47.624)	Prec@5 77.000 (78.119)
Epoch: [46][7040/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2761 (2.0300)	Prec@1 44.500 (47.623)	Prec@5 73.000 (78.116)
Epoch: [46][7050/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0913 (2.0302)	Prec@1 43.500 (47.620)	Prec@5 79.500 (78.114)
Epoch: [46][7060/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9985 (2.0301)	Prec@1 46.000 (47.621)	Prec@5 77.000 (78.114)
Epoch: [46][7070/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0889 (2.0301)	Prec@1 47.500 (47.620)	Prec@5 80.000 (78.114)
Epoch: [46][7080/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1275 (2.0301)	Prec@1 45.500 (47.621)	Prec@5 75.000 (78.116)
Epoch: [46][7090/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.8572 (2.0301)	Prec@1 50.000 (47.620)	Prec@5 82.000 (78.116)
Epoch: [46][7100/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9654 (2.0301)	Prec@1 51.500 (47.621)	Prec@5 79.000 (78.117)
Epoch: [46][7110/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1816 (2.0300)	Prec@1 47.500 (47.624)	Prec@5 76.500 (78.119)
Epoch: [46][7120/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0648 (2.0300)	Prec@1 50.000 (47.624)	Prec@5 77.500 (78.119)
Epoch: [46][7130/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9517 (2.0301)	Prec@1 49.000 (47.620)	Prec@5 81.000 (78.116)
Epoch: [46][7140/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1182 (2.0301)	Prec@1 45.500 (47.623)	Prec@5 74.500 (78.116)
Epoch: [46][7150/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0491 (2.0301)	Prec@1 45.000 (47.622)	Prec@5 77.500 (78.115)
Epoch: [46][7160/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.0827 (2.0301)	Prec@1 48.000 (47.624)	Prec@5 76.500 (78.115)
Epoch: [46][7170/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8677 (2.0302)	Prec@1 50.000 (47.623)	Prec@5 82.000 (78.114)
Epoch: [46][7180/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0652 (2.0302)	Prec@1 41.500 (47.621)	Prec@5 82.000 (78.116)
Epoch: [46][7190/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8996 (2.0302)	Prec@1 52.500 (47.621)	Prec@5 83.500 (78.116)
Epoch: [46][7200/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.9804 (2.0302)	Prec@1 49.000 (47.621)	Prec@5 76.500 (78.115)
Epoch: [46][7210/9018]	Time 0.585 (0.615)	Data 0.001 (0.001)	Loss 1.9282 (2.0302)	Prec@1 51.500 (47.621)	Prec@5 77.500 (78.114)
Epoch: [46][7220/9018]	Time 0.695 (0.615)	Data 0.001 (0.001)	Loss 1.9738 (2.0303)	Prec@1 50.500 (47.618)	Prec@5 79.500 (78.112)
Epoch: [46][7230/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.4552 (2.0303)	Prec@1 42.000 (47.617)	Prec@5 68.500 (78.112)
Epoch: [46][7240/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9163 (2.0303)	Prec@1 49.500 (47.618)	Prec@5 79.500 (78.113)
Epoch: [46][7250/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9041 (2.0303)	Prec@1 51.500 (47.617)	Prec@5 80.500 (78.112)
Epoch: [46][7260/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1304 (2.0303)	Prec@1 44.000 (47.617)	Prec@5 75.500 (78.111)
Epoch: [46][7270/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 2.0111 (2.0304)	Prec@1 52.000 (47.617)	Prec@5 78.500 (78.111)
Epoch: [46][7280/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8377 (2.0303)	Prec@1 55.000 (47.620)	Prec@5 81.000 (78.113)
Epoch: [46][7290/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.3935 (2.0303)	Prec@1 43.000 (47.621)	Prec@5 73.500 (78.112)
Epoch: [46][7300/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0236 (2.0303)	Prec@1 46.500 (47.620)	Prec@5 79.000 (78.111)
Epoch: [46][7310/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8582 (2.0303)	Prec@1 52.500 (47.620)	Prec@5 78.500 (78.113)
Epoch: [46][7320/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1357 (2.0303)	Prec@1 42.000 (47.619)	Prec@5 77.500 (78.112)
Epoch: [46][7330/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0006 (2.0304)	Prec@1 47.000 (47.617)	Prec@5 82.000 (78.111)
Epoch: [46][7340/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9877 (2.0303)	Prec@1 46.000 (47.620)	Prec@5 77.000 (78.112)
Epoch: [46][7350/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2135 (2.0304)	Prec@1 38.500 (47.617)	Prec@5 75.000 (78.112)
Epoch: [46][7360/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9214 (2.0304)	Prec@1 48.000 (47.617)	Prec@5 77.000 (78.111)
Epoch: [46][7370/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 2.1537 (2.0304)	Prec@1 43.500 (47.615)	Prec@5 77.000 (78.111)
Epoch: [46][7380/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2471 (2.0305)	Prec@1 42.500 (47.614)	Prec@5 73.000 (78.110)
Epoch: [46][7390/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0695 (2.0304)	Prec@1 44.500 (47.614)	Prec@5 80.000 (78.111)
Epoch: [46][7400/9018]	Time 0.610 (0.615)	Data 0.002 (0.001)	Loss 2.1974 (2.0304)	Prec@1 43.500 (47.614)	Prec@5 76.000 (78.111)
Epoch: [46][7410/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0907 (2.0305)	Prec@1 45.000 (47.614)	Prec@5 77.500 (78.108)
Epoch: [46][7420/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0330 (2.0305)	Prec@1 52.000 (47.615)	Prec@5 77.500 (78.106)
Epoch: [46][7430/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.0006 (2.0305)	Prec@1 43.500 (47.615)	Prec@5 78.000 (78.107)
Epoch: [46][7440/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1035 (2.0305)	Prec@1 48.500 (47.613)	Prec@5 78.000 (78.108)
Epoch: [46][7450/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1127 (2.0305)	Prec@1 44.500 (47.613)	Prec@5 77.000 (78.108)
Epoch: [46][7460/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0135 (2.0306)	Prec@1 51.000 (47.612)	Prec@5 77.500 (78.107)
Epoch: [46][7470/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0147 (2.0306)	Prec@1 50.000 (47.612)	Prec@5 82.500 (78.106)
Epoch: [46][7480/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9752 (2.0306)	Prec@1 50.000 (47.611)	Prec@5 79.500 (78.106)
Epoch: [46][7490/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1107 (2.0306)	Prec@1 45.000 (47.610)	Prec@5 79.000 (78.106)
Epoch: [46][7500/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0150 (2.0306)	Prec@1 49.500 (47.612)	Prec@5 78.000 (78.108)
Epoch: [46][7510/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8703 (2.0306)	Prec@1 49.500 (47.611)	Prec@5 82.000 (78.109)
Epoch: [46][7520/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8562 (2.0305)	Prec@1 49.000 (47.612)	Prec@5 81.500 (78.109)
Epoch: [46][7530/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9800 (2.0307)	Prec@1 48.500 (47.609)	Prec@5 78.500 (78.106)
Epoch: [46][7540/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0325 (2.0307)	Prec@1 47.000 (47.607)	Prec@5 77.500 (78.105)
Epoch: [46][7550/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 1.9148 (2.0307)	Prec@1 51.000 (47.607)	Prec@5 80.500 (78.106)
Epoch: [46][7560/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9566 (2.0307)	Prec@1 47.500 (47.608)	Prec@5 78.000 (78.104)
Epoch: [46][7570/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8468 (2.0307)	Prec@1 50.000 (47.608)	Prec@5 81.500 (78.103)
Epoch: [46][7580/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.1304 (2.0307)	Prec@1 49.000 (47.609)	Prec@5 75.000 (78.103)
Epoch: [46][7590/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.0805 (2.0307)	Prec@1 46.500 (47.609)	Prec@5 75.500 (78.102)
Epoch: [46][7600/9018]	Time 0.732 (0.615)	Data 0.001 (0.001)	Loss 2.0580 (2.0307)	Prec@1 49.000 (47.610)	Prec@5 80.500 (78.104)
Epoch: [46][7610/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9730 (2.0306)	Prec@1 46.500 (47.611)	Prec@5 80.500 (78.106)
Epoch: [46][7620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2740 (2.0306)	Prec@1 44.500 (47.613)	Prec@5 72.500 (78.106)
Epoch: [46][7630/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9653 (2.0306)	Prec@1 49.000 (47.613)	Prec@5 77.500 (78.104)
Epoch: [46][7640/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1243 (2.0307)	Prec@1 44.000 (47.611)	Prec@5 73.500 (78.103)
Epoch: [46][7650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8885 (2.0307)	Prec@1 50.500 (47.611)	Prec@5 80.000 (78.104)
Epoch: [46][7660/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.1389 (2.0308)	Prec@1 40.000 (47.610)	Prec@5 77.000 (78.102)
Epoch: [46][7670/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2353 (2.0308)	Prec@1 43.000 (47.611)	Prec@5 73.000 (78.102)
Epoch: [46][7680/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0486 (2.0307)	Prec@1 49.000 (47.614)	Prec@5 76.500 (78.104)
Epoch: [46][7690/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9587 (2.0306)	Prec@1 52.500 (47.617)	Prec@5 78.000 (78.104)
Epoch: [46][7700/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1327 (2.0307)	Prec@1 43.500 (47.615)	Prec@5 77.500 (78.102)
Epoch: [46][7710/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.9048 (2.0307)	Prec@1 50.000 (47.615)	Prec@5 81.500 (78.102)
Epoch: [46][7720/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.2436 (2.0307)	Prec@1 41.500 (47.616)	Prec@5 73.500 (78.101)
Epoch: [46][7730/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.1162 (2.0308)	Prec@1 47.000 (47.616)	Prec@5 72.500 (78.098)
Epoch: [46][7740/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0455 (2.0308)	Prec@1 45.000 (47.613)	Prec@5 76.500 (78.098)
Epoch: [46][7750/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.0286 (2.0309)	Prec@1 49.500 (47.614)	Prec@5 75.000 (78.095)
Epoch: [46][7760/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1930 (2.0309)	Prec@1 43.000 (47.615)	Prec@5 77.000 (78.094)
Epoch: [46][7770/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9927 (2.0309)	Prec@1 48.500 (47.615)	Prec@5 79.000 (78.095)
Epoch: [46][7780/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3437 (2.0310)	Prec@1 44.500 (47.614)	Prec@5 71.500 (78.092)
Epoch: [46][7790/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8552 (2.0310)	Prec@1 48.500 (47.614)	Prec@5 81.500 (78.092)
Epoch: [46][7800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9967 (2.0310)	Prec@1 49.000 (47.614)	Prec@5 77.000 (78.092)
Epoch: [46][7810/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.1443 (2.0309)	Prec@1 40.000 (47.613)	Prec@5 76.000 (78.092)
Epoch: [46][7820/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9584 (2.0309)	Prec@1 49.000 (47.614)	Prec@5 80.500 (78.093)
Epoch: [46][7830/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9608 (2.0308)	Prec@1 45.500 (47.615)	Prec@5 79.500 (78.095)
Epoch: [46][7840/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2710 (2.0308)	Prec@1 44.500 (47.615)	Prec@5 71.500 (78.095)
Epoch: [46][7850/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9354 (2.0309)	Prec@1 49.500 (47.614)	Prec@5 80.500 (78.096)
Epoch: [46][7860/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1884 (2.0310)	Prec@1 43.500 (47.611)	Prec@5 75.500 (78.095)
Epoch: [46][7870/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9779 (2.0309)	Prec@1 49.000 (47.613)	Prec@5 79.500 (78.096)
Epoch: [46][7880/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.1584 (2.0309)	Prec@1 44.500 (47.614)	Prec@5 74.500 (78.095)
Epoch: [46][7890/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1313 (2.0309)	Prec@1 48.000 (47.615)	Prec@5 72.500 (78.095)
Epoch: [46][7900/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0194 (2.0309)	Prec@1 44.500 (47.616)	Prec@5 79.500 (78.094)
Epoch: [46][7910/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.2100 (2.0309)	Prec@1 44.000 (47.615)	Prec@5 74.500 (78.094)
Epoch: [46][7920/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9789 (2.0309)	Prec@1 49.500 (47.616)	Prec@5 79.500 (78.094)
Epoch: [46][7930/9018]	Time 0.711 (0.614)	Data 0.001 (0.001)	Loss 2.1751 (2.0310)	Prec@1 43.000 (47.615)	Prec@5 80.500 (78.095)
Epoch: [46][7940/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.8727 (2.0309)	Prec@1 49.000 (47.617)	Prec@5 81.500 (78.096)
Epoch: [46][7950/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 1.9671 (2.0310)	Prec@1 46.500 (47.616)	Prec@5 79.500 (78.096)
Epoch: [46][7960/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.1211 (2.0310)	Prec@1 46.000 (47.614)	Prec@5 74.500 (78.095)
Epoch: [46][7970/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1809 (2.0311)	Prec@1 39.000 (47.614)	Prec@5 76.500 (78.093)
Epoch: [46][7980/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0606 (2.0311)	Prec@1 45.500 (47.614)	Prec@5 77.000 (78.092)
Epoch: [46][7990/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 1.9781 (2.0312)	Prec@1 51.500 (47.612)	Prec@5 79.500 (78.090)
Epoch: [46][8000/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1800 (2.0312)	Prec@1 45.500 (47.611)	Prec@5 74.000 (78.089)
Epoch: [46][8010/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1068 (2.0313)	Prec@1 48.500 (47.609)	Prec@5 76.000 (78.088)
Epoch: [46][8020/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9678 (2.0314)	Prec@1 53.000 (47.609)	Prec@5 80.500 (78.086)
Epoch: [46][8030/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.8590 (2.0313)	Prec@1 51.500 (47.609)	Prec@5 81.500 (78.088)
Epoch: [46][8040/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.0020 (2.0313)	Prec@1 47.500 (47.607)	Prec@5 78.000 (78.090)
Epoch: [46][8050/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.0919 (2.0313)	Prec@1 47.500 (47.607)	Prec@5 77.000 (78.089)
Epoch: [46][8060/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.1270 (2.0314)	Prec@1 47.000 (47.607)	Prec@5 76.500 (78.087)
Epoch: [46][8070/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.2245 (2.0315)	Prec@1 46.000 (47.605)	Prec@5 74.500 (78.086)
Epoch: [46][8080/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1798 (2.0315)	Prec@1 45.500 (47.603)	Prec@5 76.500 (78.085)
Epoch: [46][8090/9018]	Time 0.599 (0.614)	Data 0.002 (0.001)	Loss 2.1153 (2.0315)	Prec@1 44.000 (47.604)	Prec@5 75.500 (78.086)
Epoch: [46][8100/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.8269 (2.0315)	Prec@1 50.500 (47.602)	Prec@5 84.000 (78.086)
Epoch: [46][8110/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9303 (2.0315)	Prec@1 52.000 (47.603)	Prec@5 79.500 (78.086)
Epoch: [46][8120/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9628 (2.0314)	Prec@1 48.000 (47.605)	Prec@5 80.000 (78.087)
Epoch: [46][8130/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.8522 (2.0314)	Prec@1 48.000 (47.604)	Prec@5 81.000 (78.087)
Epoch: [46][8140/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 2.3683 (2.0314)	Prec@1 39.000 (47.604)	Prec@5 73.500 (78.086)
Epoch: [46][8150/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0077 (2.0315)	Prec@1 46.500 (47.601)	Prec@5 81.500 (78.085)
Epoch: [46][8160/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0753 (2.0315)	Prec@1 45.500 (47.601)	Prec@5 77.500 (78.085)
Epoch: [46][8170/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.1302 (2.0315)	Prec@1 49.500 (47.603)	Prec@5 71.000 (78.083)
Epoch: [46][8180/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1306 (2.0316)	Prec@1 44.500 (47.603)	Prec@5 76.000 (78.082)
Epoch: [46][8190/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0666 (2.0317)	Prec@1 42.000 (47.598)	Prec@5 81.000 (78.080)
Epoch: [46][8200/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.1607 (2.0318)	Prec@1 42.500 (47.597)	Prec@5 74.000 (78.080)
Epoch: [46][8210/9018]	Time 0.724 (0.614)	Data 0.001 (0.001)	Loss 2.0179 (2.0318)	Prec@1 50.500 (47.595)	Prec@5 78.000 (78.081)
Epoch: [46][8220/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9646 (2.0318)	Prec@1 54.000 (47.595)	Prec@5 79.000 (78.081)
Epoch: [46][8230/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.2238 (2.0318)	Prec@1 42.500 (47.595)	Prec@5 76.000 (78.082)
Epoch: [46][8240/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1784 (2.0318)	Prec@1 42.500 (47.594)	Prec@5 81.500 (78.081)
Epoch: [46][8250/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9687 (2.0318)	Prec@1 48.000 (47.595)	Prec@5 77.000 (78.083)
Epoch: [46][8260/9018]	Time 0.723 (0.614)	Data 0.001 (0.001)	Loss 2.0966 (2.0318)	Prec@1 49.000 (47.596)	Prec@5 75.500 (78.082)
Epoch: [46][8270/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.0615 (2.0319)	Prec@1 54.500 (47.596)	Prec@5 74.000 (78.080)
Epoch: [46][8280/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.0490 (2.0320)	Prec@1 48.500 (47.594)	Prec@5 79.500 (78.078)
Epoch: [46][8290/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.8941 (2.0320)	Prec@1 52.000 (47.595)	Prec@5 82.000 (78.078)
Epoch: [46][8300/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0174 (2.0320)	Prec@1 43.000 (47.594)	Prec@5 80.500 (78.077)
Epoch: [46][8310/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.2272 (2.0320)	Prec@1 43.500 (47.595)	Prec@5 72.500 (78.079)
Epoch: [46][8320/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1397 (2.0320)	Prec@1 48.500 (47.595)	Prec@5 77.500 (78.078)
Epoch: [46][8330/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.8866 (2.0319)	Prec@1 56.000 (47.593)	Prec@5 77.500 (78.078)
Epoch: [46][8340/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0691 (2.0319)	Prec@1 45.500 (47.592)	Prec@5 80.500 (78.078)
Epoch: [46][8350/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9838 (2.0319)	Prec@1 46.500 (47.591)	Prec@5 79.000 (78.078)
Epoch: [46][8360/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9351 (2.0319)	Prec@1 49.500 (47.591)	Prec@5 81.500 (78.079)
Epoch: [46][8370/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0056 (2.0319)	Prec@1 55.500 (47.594)	Prec@5 78.000 (78.079)
Epoch: [46][8380/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.2484 (2.0320)	Prec@1 45.500 (47.593)	Prec@5 75.500 (78.078)
Epoch: [46][8390/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1722 (2.0320)	Prec@1 47.500 (47.594)	Prec@5 72.000 (78.078)
Epoch: [46][8400/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.8592 (2.0320)	Prec@1 55.000 (47.595)	Prec@5 81.000 (78.077)
Epoch: [46][8410/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9526 (2.0319)	Prec@1 49.500 (47.597)	Prec@5 80.500 (78.078)
Epoch: [46][8420/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.1660 (2.0319)	Prec@1 42.500 (47.596)	Prec@5 78.500 (78.078)
Epoch: [46][8430/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.9691 (2.0319)	Prec@1 49.500 (47.596)	Prec@5 77.500 (78.078)
Epoch: [46][8440/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.9119 (2.0319)	Prec@1 47.500 (47.597)	Prec@5 78.500 (78.079)
Epoch: [46][8450/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.4218 (2.0319)	Prec@1 40.000 (47.596)	Prec@5 71.500 (78.079)
Epoch: [46][8460/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.8456 (2.0320)	Prec@1 50.000 (47.596)	Prec@5 84.000 (78.080)
Epoch: [46][8470/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.9649 (2.0320)	Prec@1 47.500 (47.594)	Prec@5 78.000 (78.080)
Epoch: [46][8480/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9317 (2.0320)	Prec@1 47.000 (47.592)	Prec@5 83.000 (78.080)
Epoch: [46][8490/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.1967 (2.0320)	Prec@1 44.500 (47.592)	Prec@5 76.000 (78.080)
Epoch: [46][8500/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 1.7461 (2.0320)	Prec@1 55.000 (47.592)	Prec@5 80.000 (78.079)
Epoch: [46][8510/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.8534 (2.0319)	Prec@1 49.000 (47.592)	Prec@5 81.500 (78.080)
Epoch: [46][8520/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0720 (2.0320)	Prec@1 46.000 (47.592)	Prec@5 77.000 (78.078)
Epoch: [46][8530/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1935 (2.0320)	Prec@1 45.000 (47.592)	Prec@5 75.500 (78.079)
Epoch: [46][8540/9018]	Time 0.715 (0.614)	Data 0.001 (0.001)	Loss 1.9064 (2.0319)	Prec@1 49.000 (47.594)	Prec@5 80.500 (78.079)
Epoch: [46][8550/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.2466 (2.0320)	Prec@1 44.500 (47.592)	Prec@5 76.000 (78.076)
Epoch: [46][8560/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.8780 (2.0321)	Prec@1 50.000 (47.590)	Prec@5 80.500 (78.074)
Epoch: [46][8570/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.0235 (2.0320)	Prec@1 46.000 (47.592)	Prec@5 82.000 (78.075)
Epoch: [46][8580/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0865 (2.0320)	Prec@1 47.000 (47.592)	Prec@5 77.000 (78.075)
Epoch: [46][8590/9018]	Time 0.719 (0.614)	Data 0.001 (0.001)	Loss 2.1705 (2.0321)	Prec@1 47.500 (47.589)	Prec@5 78.000 (78.073)
Epoch: [46][8600/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1548 (2.0321)	Prec@1 46.000 (47.591)	Prec@5 72.500 (78.074)
Epoch: [46][8610/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 1.8961 (2.0320)	Prec@1 45.000 (47.592)	Prec@5 81.000 (78.075)
Epoch: [46][8620/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1384 (2.0320)	Prec@1 44.000 (47.592)	Prec@5 75.000 (78.075)
Epoch: [46][8630/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.1280 (2.0319)	Prec@1 48.000 (47.594)	Prec@5 78.000 (78.077)
Epoch: [46][8640/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9952 (2.0320)	Prec@1 46.000 (47.590)	Prec@5 76.500 (78.076)
Epoch: [46][8650/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.1083 (2.0320)	Prec@1 49.500 (47.589)	Prec@5 74.500 (78.075)
Epoch: [46][8660/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 1.8358 (2.0320)	Prec@1 55.000 (47.588)	Prec@5 80.500 (78.074)
Epoch: [46][8670/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9866 (2.0320)	Prec@1 50.000 (47.587)	Prec@5 80.500 (78.075)
Epoch: [46][8680/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0512 (2.0320)	Prec@1 47.500 (47.587)	Prec@5 76.000 (78.075)
Epoch: [46][8690/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.8346 (2.0320)	Prec@1 51.500 (47.589)	Prec@5 82.000 (78.076)
Epoch: [46][8700/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.2815 (2.0321)	Prec@1 43.500 (47.589)	Prec@5 73.000 (78.075)
Epoch: [46][8710/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.7053 (2.0321)	Prec@1 55.500 (47.588)	Prec@5 85.000 (78.073)
Epoch: [46][8720/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0561 (2.0321)	Prec@1 48.500 (47.588)	Prec@5 79.500 (78.073)
Epoch: [46][8730/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9975 (2.0322)	Prec@1 51.000 (47.585)	Prec@5 80.500 (78.071)
Epoch: [46][8740/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.1774 (2.0322)	Prec@1 41.000 (47.583)	Prec@5 77.500 (78.070)
Epoch: [46][8750/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9481 (2.0323)	Prec@1 50.000 (47.583)	Prec@5 79.000 (78.070)
Epoch: [46][8760/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0830 (2.0323)	Prec@1 46.500 (47.583)	Prec@5 78.500 (78.070)
Epoch: [46][8770/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.7726 (2.0323)	Prec@1 56.000 (47.584)	Prec@5 82.500 (78.070)
Epoch: [46][8780/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.0171 (2.0322)	Prec@1 45.000 (47.585)	Prec@5 78.000 (78.071)
Epoch: [46][8790/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.0734 (2.0322)	Prec@1 47.000 (47.585)	Prec@5 76.500 (78.071)
Epoch: [46][8800/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1227 (2.0321)	Prec@1 45.000 (47.585)	Prec@5 79.500 (78.073)
Epoch: [46][8810/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.7665 (2.0321)	Prec@1 55.500 (47.586)	Prec@5 83.500 (78.072)
Epoch: [46][8820/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1189 (2.0322)	Prec@1 47.500 (47.584)	Prec@5 77.000 (78.071)
Epoch: [46][8830/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.2005 (2.0322)	Prec@1 44.500 (47.584)	Prec@5 76.500 (78.070)
Epoch: [46][8840/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9246 (2.0322)	Prec@1 46.000 (47.583)	Prec@5 81.000 (78.072)
Epoch: [46][8850/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0360 (2.0322)	Prec@1 46.500 (47.584)	Prec@5 80.000 (78.072)
Epoch: [46][8860/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.1689 (2.0322)	Prec@1 42.000 (47.584)	Prec@5 75.000 (78.072)
Epoch: [46][8870/9018]	Time 0.726 (0.614)	Data 0.001 (0.001)	Loss 1.8633 (2.0321)	Prec@1 47.500 (47.583)	Prec@5 82.000 (78.074)
Epoch: [46][8880/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 2.1281 (2.0321)	Prec@1 46.000 (47.583)	Prec@5 77.500 (78.074)
Epoch: [46][8890/9018]	Time 0.588 (0.614)	Data 0.001 (0.001)	Loss 1.8330 (2.0322)	Prec@1 54.500 (47.581)	Prec@5 81.500 (78.073)
Epoch: [46][8900/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.8847 (2.0322)	Prec@1 51.500 (47.581)	Prec@5 79.000 (78.074)
Epoch: [46][8910/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9213 (2.0322)	Prec@1 49.000 (47.579)	Prec@5 80.000 (78.074)
Epoch: [46][8920/9018]	Time 0.723 (0.614)	Data 0.001 (0.001)	Loss 1.7964 (2.0322)	Prec@1 53.500 (47.579)	Prec@5 82.500 (78.074)
Epoch: [46][8930/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 2.1976 (2.0323)	Prec@1 42.500 (47.579)	Prec@5 75.500 (78.072)
Epoch: [46][8940/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.2208 (2.0323)	Prec@1 43.000 (47.580)	Prec@5 75.000 (78.072)
Epoch: [46][8950/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.9836 (2.0323)	Prec@1 46.500 (47.578)	Prec@5 78.000 (78.070)
Epoch: [46][8960/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.1095 (2.0324)	Prec@1 46.000 (47.578)	Prec@5 75.500 (78.069)
Epoch: [46][8970/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0675 (2.0323)	Prec@1 44.500 (47.577)	Prec@5 75.500 (78.070)
Epoch: [46][8980/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 2.0231 (2.0324)	Prec@1 45.500 (47.576)	Prec@5 80.500 (78.069)
Epoch: [46][8990/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0876 (2.0324)	Prec@1 48.000 (47.573)	Prec@5 78.500 (78.068)
Epoch: [46][9000/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.0740 (2.0324)	Prec@1 40.500 (47.574)	Prec@5 79.500 (78.069)
Epoch: [46][9010/9018]	Time 0.593 (0.614)	Data 0.000 (0.001)	Loss 2.1528 (2.0325)	Prec@1 43.500 (47.572)	Prec@5 72.500 (78.066)
Test: [0/183]	Time 1.357 (1.357)	Loss 2.5010 (2.5010)	Prec@1 35.500 (35.500)	Prec@5 68.000 (68.000)
Test: [10/183]	Time 0.204 (0.308)	Loss 1.8536 (1.8517)	Prec@1 58.500 (51.409)	Prec@5 78.500 (81.727)
Test: [20/183]	Time 0.188 (0.259)	Loss 2.0689 (1.7450)	Prec@1 46.500 (52.619)	Prec@5 79.500 (83.571)
Test: [30/183]	Time 0.204 (0.237)	Loss 2.1986 (1.7441)	Prec@1 38.000 (52.645)	Prec@5 78.500 (83.677)
Test: [40/183]	Time 0.185 (0.227)	Loss 2.2363 (1.7260)	Prec@1 36.500 (53.707)	Prec@5 80.000 (83.463)
Test: [50/183]	Time 0.264 (0.221)	Loss 1.4413 (1.7058)	Prec@1 56.500 (54.304)	Prec@5 89.000 (83.608)
Test: [60/183]	Time 0.189 (0.216)	Loss 2.1865 (1.7706)	Prec@1 46.000 (52.352)	Prec@5 78.000 (82.885)
Test: [70/183]	Time 0.180 (0.213)	Loss 1.7549 (1.7535)	Prec@1 52.000 (52.606)	Prec@5 86.500 (83.324)
Test: [80/183]	Time 0.191 (0.210)	Loss 1.5828 (1.7515)	Prec@1 54.500 (52.389)	Prec@5 91.500 (83.321)
Test: [90/183]	Time 0.188 (0.208)	Loss 2.5185 (1.7599)	Prec@1 33.000 (52.313)	Prec@5 73.000 (83.181)
Test: [100/183]	Time 0.269 (0.207)	Loss 0.9786 (1.7689)	Prec@1 70.000 (52.129)	Prec@5 92.500 (83.059)
Test: [110/183]	Time 0.188 (0.205)	Loss 0.8217 (1.7709)	Prec@1 77.000 (52.140)	Prec@5 94.500 (83.018)
Test: [120/183]	Time 0.186 (0.204)	Loss 2.1772 (1.7751)	Prec@1 41.500 (51.831)	Prec@5 75.500 (83.058)
Test: [130/183]	Time 0.179 (0.203)	Loss 3.3951 (1.7869)	Prec@1 12.000 (51.557)	Prec@5 64.000 (83.000)
Test: [140/183]	Time 0.206 (0.202)	Loss 1.4186 (1.7770)	Prec@1 63.000 (51.876)	Prec@5 91.000 (83.184)
Test: [150/183]	Time 0.267 (0.202)	Loss 0.6460 (1.7736)	Prec@1 84.000 (52.096)	Prec@5 98.000 (83.212)
Test: [160/183]	Time 0.203 (0.201)	Loss 1.6070 (1.7676)	Prec@1 55.500 (52.376)	Prec@5 84.000 (83.214)
Test: [170/183]	Time 0.181 (0.201)	Loss 2.2025 (1.7888)	Prec@1 35.000 (51.833)	Prec@5 82.000 (82.839)
Test: [180/183]	Time 0.178 (0.200)	Loss 1.9954 (1.7941)	Prec@1 47.500 (51.801)	Prec@5 82.500 (82.785)
 * Prec@1 51.822 Prec@5 82.784
Epoch: [47][0/9018]	Time 3.038 (3.038)	Data 2.269 (2.269)	Loss 1.7992 (1.7992)	Prec@1 54.500 (54.500)	Prec@5 82.500 (82.500)
Epoch: [47][10/9018]	Time 0.595 (0.816)	Data 0.001 (0.207)	Loss 2.0868 (1.9890)	Prec@1 49.000 (49.091)	Prec@5 76.000 (78.182)
Epoch: [47][20/9018]	Time 0.597 (0.716)	Data 0.001 (0.109)	Loss 2.0005 (2.0019)	Prec@1 47.500 (48.714)	Prec@5 80.000 (78.262)
Epoch: [47][30/9018]	Time 0.593 (0.678)	Data 0.001 (0.074)	Loss 1.7950 (1.9900)	Prec@1 57.000 (48.823)	Prec@5 84.000 (78.984)
Epoch: [47][40/9018]	Time 0.591 (0.661)	Data 0.001 (0.056)	Loss 1.9539 (1.9880)	Prec@1 50.500 (48.817)	Prec@5 79.500 (79.098)
Epoch: [47][50/9018]	Time 0.593 (0.651)	Data 0.001 (0.045)	Loss 1.9626 (1.9858)	Prec@1 51.000 (48.892)	Prec@5 77.000 (79.039)
Epoch: [47][60/9018]	Time 0.594 (0.642)	Data 0.001 (0.038)	Loss 1.9390 (1.9801)	Prec@1 51.000 (49.041)	Prec@5 78.500 (79.205)
Epoch: [47][70/9018]	Time 0.609 (0.640)	Data 0.001 (0.033)	Loss 2.0683 (1.9955)	Prec@1 45.500 (48.627)	Prec@5 78.500 (78.993)
Epoch: [47][80/9018]	Time 0.591 (0.634)	Data 0.001 (0.029)	Loss 2.0894 (2.0049)	Prec@1 44.000 (48.395)	Prec@5 77.500 (78.716)
Epoch: [47][90/9018]	Time 0.612 (0.631)	Data 0.001 (0.026)	Loss 2.0738 (2.0087)	Prec@1 48.000 (48.319)	Prec@5 79.500 (78.709)
Epoch: [47][100/9018]	Time 0.628 (0.630)	Data 0.001 (0.023)	Loss 1.8268 (2.0049)	Prec@1 53.500 (48.436)	Prec@5 81.000 (78.728)
Epoch: [47][110/9018]	Time 0.615 (0.628)	Data 0.001 (0.021)	Loss 1.9548 (2.0049)	Prec@1 53.000 (48.297)	Prec@5 80.500 (78.802)
Epoch: [47][120/9018]	Time 0.601 (0.627)	Data 0.001 (0.020)	Loss 2.0459 (2.0066)	Prec@1 47.000 (48.190)	Prec@5 77.000 (78.736)
Epoch: [47][130/9018]	Time 0.602 (0.625)	Data 0.001 (0.018)	Loss 2.0276 (2.0075)	Prec@1 48.500 (48.164)	Prec@5 77.000 (78.756)
Epoch: [47][140/9018]	Time 0.597 (0.625)	Data 0.001 (0.017)	Loss 2.1723 (2.0065)	Prec@1 46.000 (48.284)	Prec@5 76.000 (78.734)
Epoch: [47][150/9018]	Time 0.594 (0.624)	Data 0.001 (0.016)	Loss 2.0268 (2.0081)	Prec@1 51.000 (48.255)	Prec@5 77.000 (78.679)
Epoch: [47][160/9018]	Time 0.604 (0.623)	Data 0.001 (0.015)	Loss 2.0336 (2.0035)	Prec@1 47.000 (48.270)	Prec@5 79.000 (78.786)
Epoch: [47][170/9018]	Time 0.602 (0.622)	Data 0.001 (0.014)	Loss 1.9412 (2.0062)	Prec@1 52.500 (48.298)	Prec@5 80.500 (78.696)
Epoch: [47][180/9018]	Time 0.594 (0.621)	Data 0.001 (0.013)	Loss 1.8941 (2.0072)	Prec@1 51.000 (48.260)	Prec@5 80.500 (78.635)
Epoch: [47][190/9018]	Time 0.623 (0.621)	Data 0.001 (0.013)	Loss 2.2080 (2.0066)	Prec@1 48.000 (48.254)	Prec@5 75.500 (78.639)
Epoch: [47][200/9018]	Time 0.605 (0.621)	Data 0.001 (0.012)	Loss 1.8763 (2.0044)	Prec@1 55.500 (48.281)	Prec@5 82.500 (78.699)
Epoch: [47][210/9018]	Time 0.594 (0.619)	Data 0.001 (0.012)	Loss 2.0152 (2.0041)	Prec@1 51.000 (48.303)	Prec@5 79.500 (78.713)
Epoch: [47][220/9018]	Time 0.598 (0.619)	Data 0.001 (0.011)	Loss 2.0495 (2.0032)	Prec@1 48.500 (48.314)	Prec@5 78.000 (78.738)
Epoch: [47][230/9018]	Time 0.597 (0.619)	Data 0.001 (0.011)	Loss 1.9180 (2.0005)	Prec@1 49.500 (48.370)	Prec@5 78.500 (78.766)
Epoch: [47][240/9018]	Time 0.596 (0.618)	Data 0.001 (0.010)	Loss 1.8517 (2.0021)	Prec@1 49.000 (48.330)	Prec@5 82.000 (78.751)
Epoch: [47][250/9018]	Time 0.607 (0.618)	Data 0.001 (0.010)	Loss 1.9900 (2.0030)	Prec@1 49.500 (48.311)	Prec@5 77.500 (78.743)
Epoch: [47][260/9018]	Time 0.593 (0.618)	Data 0.001 (0.009)	Loss 2.1202 (2.0028)	Prec@1 48.000 (48.245)	Prec@5 74.000 (78.776)
Epoch: [47][270/9018]	Time 0.595 (0.617)	Data 0.001 (0.009)	Loss 1.9664 (2.0027)	Prec@1 45.000 (48.207)	Prec@5 80.500 (78.764)
Epoch: [47][280/9018]	Time 0.732 (0.617)	Data 0.001 (0.009)	Loss 1.8980 (2.0029)	Prec@1 54.000 (48.254)	Prec@5 81.000 (78.774)
Epoch: [47][290/9018]	Time 0.619 (0.616)	Data 0.001 (0.009)	Loss 2.2676 (2.0059)	Prec@1 41.500 (48.165)	Prec@5 71.500 (78.706)
Epoch: [47][300/9018]	Time 0.588 (0.617)	Data 0.001 (0.008)	Loss 1.9311 (2.0057)	Prec@1 51.000 (48.128)	Prec@5 78.500 (78.683)
Epoch: [47][310/9018]	Time 0.604 (0.616)	Data 0.001 (0.008)	Loss 2.0565 (2.0065)	Prec@1 51.500 (48.125)	Prec@5 78.500 (78.667)
Epoch: [47][320/9018]	Time 0.602 (0.616)	Data 0.001 (0.008)	Loss 1.9022 (2.0061)	Prec@1 46.500 (48.150)	Prec@5 81.000 (78.645)
Epoch: [47][330/9018]	Time 0.731 (0.616)	Data 0.001 (0.008)	Loss 1.9725 (2.0086)	Prec@1 46.000 (48.082)	Prec@5 80.500 (78.618)
Epoch: [47][340/9018]	Time 0.592 (0.616)	Data 0.001 (0.007)	Loss 2.0288 (2.0085)	Prec@1 48.000 (48.076)	Prec@5 80.000 (78.652)
Epoch: [47][350/9018]	Time 0.601 (0.616)	Data 0.001 (0.007)	Loss 1.7272 (2.0093)	Prec@1 49.500 (48.047)	Prec@5 85.500 (78.635)
Epoch: [47][360/9018]	Time 0.600 (0.615)	Data 0.001 (0.007)	Loss 1.8586 (2.0090)	Prec@1 53.500 (48.078)	Prec@5 83.000 (78.620)
Epoch: [47][370/9018]	Time 0.602 (0.615)	Data 0.001 (0.007)	Loss 2.1056 (2.0074)	Prec@1 47.500 (48.182)	Prec@5 77.500 (78.637)
Epoch: [47][380/9018]	Time 0.602 (0.615)	Data 0.001 (0.007)	Loss 1.6467 (2.0062)	Prec@1 57.000 (48.236)	Prec@5 86.000 (78.661)
Epoch: [47][390/9018]	Time 0.622 (0.615)	Data 0.001 (0.007)	Loss 2.0862 (2.0063)	Prec@1 49.000 (48.237)	Prec@5 75.500 (78.653)
Epoch: [47][400/9018]	Time 0.596 (0.615)	Data 0.001 (0.006)	Loss 1.9716 (2.0065)	Prec@1 47.500 (48.217)	Prec@5 75.500 (78.637)
Epoch: [47][410/9018]	Time 0.600 (0.615)	Data 0.001 (0.006)	Loss 2.0772 (2.0061)	Prec@1 44.500 (48.231)	Prec@5 78.500 (78.646)
Epoch: [47][420/9018]	Time 0.605 (0.615)	Data 0.001 (0.006)	Loss 2.1608 (2.0079)	Prec@1 48.000 (48.191)	Prec@5 76.000 (78.610)
Epoch: [47][430/9018]	Time 0.597 (0.615)	Data 0.001 (0.006)	Loss 2.1107 (2.0086)	Prec@1 38.000 (48.158)	Prec@5 76.500 (78.589)
Epoch: [47][440/9018]	Time 0.601 (0.614)	Data 0.001 (0.006)	Loss 1.9794 (2.0082)	Prec@1 50.500 (48.158)	Prec@5 76.500 (78.598)
Epoch: [47][450/9018]	Time 0.604 (0.615)	Data 0.001 (0.006)	Loss 2.0357 (2.0075)	Prec@1 47.000 (48.181)	Prec@5 80.000 (78.621)
Epoch: [47][460/9018]	Time 0.617 (0.614)	Data 0.001 (0.006)	Loss 2.1401 (2.0066)	Prec@1 45.500 (48.191)	Prec@5 76.500 (78.664)
Epoch: [47][470/9018]	Time 0.601 (0.614)	Data 0.001 (0.006)	Loss 1.8846 (2.0054)	Prec@1 49.000 (48.207)	Prec@5 80.500 (78.672)
Epoch: [47][480/9018]	Time 0.603 (0.614)	Data 0.001 (0.005)	Loss 1.9033 (2.0058)	Prec@1 50.500 (48.193)	Prec@5 81.000 (78.673)
Epoch: [47][490/9018]	Time 0.594 (0.614)	Data 0.001 (0.005)	Loss 2.1862 (2.0055)	Prec@1 48.000 (48.200)	Prec@5 70.500 (78.649)
Epoch: [47][500/9018]	Time 0.611 (0.614)	Data 0.001 (0.005)	Loss 1.9888 (2.0034)	Prec@1 48.000 (48.252)	Prec@5 79.500 (78.684)
Epoch: [47][510/9018]	Time 0.591 (0.614)	Data 0.001 (0.005)	Loss 2.0382 (2.0034)	Prec@1 47.000 (48.245)	Prec@5 75.500 (78.695)
Epoch: [47][520/9018]	Time 0.597 (0.614)	Data 0.001 (0.005)	Loss 2.0449 (2.0033)	Prec@1 46.500 (48.231)	Prec@5 82.000 (78.704)
Epoch: [47][530/9018]	Time 0.600 (0.614)	Data 0.001 (0.005)	Loss 1.9524 (2.0030)	Prec@1 48.000 (48.234)	Prec@5 79.500 (78.709)
Epoch: [47][540/9018]	Time 0.597 (0.614)	Data 0.001 (0.005)	Loss 2.0651 (2.0024)	Prec@1 47.500 (48.252)	Prec@5 76.500 (78.721)
Epoch: [47][550/9018]	Time 0.598 (0.614)	Data 0.001 (0.005)	Loss 1.9889 (2.0034)	Prec@1 48.000 (48.211)	Prec@5 77.000 (78.717)
Epoch: [47][560/9018]	Time 0.610 (0.614)	Data 0.001 (0.005)	Loss 1.6885 (2.0029)	Prec@1 51.000 (48.207)	Prec@5 86.000 (78.715)
Epoch: [47][570/9018]	Time 0.622 (0.614)	Data 0.001 (0.005)	Loss 2.0033 (2.0023)	Prec@1 46.500 (48.205)	Prec@5 80.000 (78.742)
Epoch: [47][580/9018]	Time 0.606 (0.614)	Data 0.001 (0.005)	Loss 1.9741 (2.0028)	Prec@1 53.000 (48.193)	Prec@5 77.000 (78.731)
Epoch: [47][590/9018]	Time 0.597 (0.614)	Data 0.001 (0.005)	Loss 1.9650 (2.0024)	Prec@1 46.500 (48.176)	Prec@5 80.000 (78.727)
Epoch: [47][600/9018]	Time 0.602 (0.614)	Data 0.001 (0.005)	Loss 1.9112 (2.0032)	Prec@1 58.500 (48.203)	Prec@5 80.000 (78.695)
Epoch: [47][610/9018]	Time 0.756 (0.614)	Data 0.001 (0.004)	Loss 2.0371 (2.0039)	Prec@1 49.500 (48.199)	Prec@5 79.000 (78.663)
Epoch: [47][620/9018]	Time 0.601 (0.613)	Data 0.001 (0.004)	Loss 2.0244 (2.0035)	Prec@1 43.000 (48.201)	Prec@5 82.000 (78.674)
Epoch: [47][630/9018]	Time 0.602 (0.614)	Data 0.001 (0.004)	Loss 1.7432 (2.0034)	Prec@1 53.000 (48.195)	Prec@5 85.500 (78.671)
Epoch: [47][640/9018]	Time 0.632 (0.613)	Data 0.001 (0.004)	Loss 2.1767 (2.0035)	Prec@1 45.000 (48.202)	Prec@5 77.500 (78.660)
Epoch: [47][650/9018]	Time 0.593 (0.614)	Data 0.001 (0.004)	Loss 2.1978 (2.0053)	Prec@1 42.000 (48.179)	Prec@5 73.500 (78.631)
Epoch: [47][660/9018]	Time 0.727 (0.613)	Data 0.001 (0.004)	Loss 2.0545 (2.0062)	Prec@1 43.000 (48.144)	Prec@5 78.500 (78.615)
Epoch: [47][670/9018]	Time 0.603 (0.613)	Data 0.001 (0.004)	Loss 2.1514 (2.0069)	Prec@1 43.500 (48.107)	Prec@5 73.500 (78.596)
Epoch: [47][680/9018]	Time 0.598 (0.613)	Data 0.001 (0.004)	Loss 2.0961 (2.0072)	Prec@1 47.500 (48.080)	Prec@5 73.500 (78.578)
Epoch: [47][690/9018]	Time 0.602 (0.613)	Data 0.001 (0.004)	Loss 2.0971 (2.0070)	Prec@1 45.500 (48.090)	Prec@5 77.500 (78.581)
Epoch: [47][700/9018]	Time 0.627 (0.613)	Data 0.001 (0.004)	Loss 1.7926 (2.0080)	Prec@1 49.000 (48.058)	Prec@5 81.500 (78.570)
Epoch: [47][710/9018]	Time 0.597 (0.613)	Data 0.001 (0.004)	Loss 1.9518 (2.0080)	Prec@1 47.000 (48.061)	Prec@5 78.500 (78.572)
Epoch: [47][720/9018]	Time 0.598 (0.613)	Data 0.001 (0.004)	Loss 2.0589 (2.0094)	Prec@1 46.500 (48.040)	Prec@5 80.500 (78.544)
Epoch: [47][730/9018]	Time 0.596 (0.613)	Data 0.001 (0.004)	Loss 1.8175 (2.0088)	Prec@1 55.500 (48.060)	Prec@5 83.000 (78.557)
Epoch: [47][740/9018]	Time 0.596 (0.613)	Data 0.001 (0.004)	Loss 1.9590 (2.0094)	Prec@1 48.500 (48.045)	Prec@5 78.500 (78.555)
Epoch: [47][750/9018]	Time 0.607 (0.613)	Data 0.001 (0.004)	Loss 1.9862 (2.0092)	Prec@1 46.500 (48.047)	Prec@5 79.000 (78.551)
Epoch: [47][760/9018]	Time 0.603 (0.613)	Data 0.001 (0.004)	Loss 2.2066 (2.0089)	Prec@1 41.500 (48.069)	Prec@5 72.000 (78.546)
Epoch: [47][770/9018]	Time 0.602 (0.613)	Data 0.001 (0.004)	Loss 1.9122 (2.0086)	Prec@1 52.000 (48.075)	Prec@5 78.500 (78.556)
Epoch: [47][780/9018]	Time 0.599 (0.613)	Data 0.001 (0.004)	Loss 2.1551 (2.0091)	Prec@1 42.000 (48.060)	Prec@5 77.500 (78.536)
Epoch: [47][790/9018]	Time 0.601 (0.613)	Data 0.001 (0.004)	Loss 1.7550 (2.0075)	Prec@1 52.500 (48.082)	Prec@5 84.000 (78.559)
Epoch: [47][800/9018]	Time 0.598 (0.613)	Data 0.001 (0.004)	Loss 2.0393 (2.0074)	Prec@1 50.500 (48.073)	Prec@5 77.000 (78.569)
Epoch: [47][810/9018]	Time 0.627 (0.613)	Data 0.001 (0.004)	Loss 2.1498 (2.0077)	Prec@1 47.500 (48.075)	Prec@5 72.000 (78.560)
Epoch: [47][820/9018]	Time 0.598 (0.613)	Data 0.001 (0.004)	Loss 2.0798 (2.0076)	Prec@1 51.500 (48.093)	Prec@5 73.500 (78.551)
Epoch: [47][830/9018]	Time 0.590 (0.613)	Data 0.001 (0.004)	Loss 1.8964 (2.0081)	Prec@1 48.500 (48.066)	Prec@5 83.000 (78.543)
Epoch: [47][840/9018]	Time 0.597 (0.613)	Data 0.001 (0.003)	Loss 2.2672 (2.0093)	Prec@1 43.000 (48.044)	Prec@5 75.000 (78.527)
Epoch: [47][850/9018]	Time 0.593 (0.613)	Data 0.001 (0.003)	Loss 1.7722 (2.0088)	Prec@1 57.500 (48.058)	Prec@5 81.000 (78.528)
Epoch: [47][860/9018]	Time 0.603 (0.613)	Data 0.001 (0.003)	Loss 1.9351 (2.0092)	Prec@1 50.500 (48.047)	Prec@5 81.000 (78.525)
Epoch: [47][870/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.2372 (2.0083)	Prec@1 42.500 (48.064)	Prec@5 72.500 (78.534)
Epoch: [47][880/9018]	Time 0.601 (0.613)	Data 0.001 (0.003)	Loss 2.0210 (2.0080)	Prec@1 46.000 (48.079)	Prec@5 79.000 (78.528)
Epoch: [47][890/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 1.9629 (2.0080)	Prec@1 42.500 (48.056)	Prec@5 79.500 (78.534)
Epoch: [47][900/9018]	Time 0.595 (0.613)	Data 0.001 (0.003)	Loss 2.1346 (2.0083)	Prec@1 44.500 (48.043)	Prec@5 78.500 (78.533)
Epoch: [47][910/9018]	Time 0.603 (0.613)	Data 0.001 (0.003)	Loss 1.9700 (2.0083)	Prec@1 49.000 (48.040)	Prec@5 81.000 (78.537)
Epoch: [47][920/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 1.9793 (2.0080)	Prec@1 46.500 (48.043)	Prec@5 82.000 (78.544)
Epoch: [47][930/9018]	Time 0.598 (0.613)	Data 0.001 (0.003)	Loss 2.0508 (2.0094)	Prec@1 50.500 (48.006)	Prec@5 79.000 (78.518)
Epoch: [47][940/9018]	Time 0.725 (0.613)	Data 0.001 (0.003)	Loss 2.0654 (2.0101)	Prec@1 43.500 (47.994)	Prec@5 75.000 (78.505)
Epoch: [47][950/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.1589 (2.0105)	Prec@1 44.500 (47.998)	Prec@5 76.000 (78.494)
Epoch: [47][960/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 1.8922 (2.0099)	Prec@1 47.000 (48.015)	Prec@5 83.500 (78.506)
Epoch: [47][970/9018]	Time 0.623 (0.612)	Data 0.001 (0.003)	Loss 2.1557 (2.0098)	Prec@1 43.500 (48.020)	Prec@5 75.000 (78.509)
Epoch: [47][980/9018]	Time 0.589 (0.612)	Data 0.001 (0.003)	Loss 1.9658 (2.0099)	Prec@1 48.500 (48.013)	Prec@5 82.500 (78.497)
Epoch: [47][990/9018]	Time 0.717 (0.612)	Data 0.001 (0.003)	Loss 1.9665 (2.0101)	Prec@1 49.500 (48.001)	Prec@5 79.000 (78.488)
Epoch: [47][1000/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 1.9317 (2.0096)	Prec@1 52.500 (48.002)	Prec@5 78.500 (78.496)
Epoch: [47][1010/9018]	Time 0.610 (0.612)	Data 0.001 (0.003)	Loss 1.9057 (2.0099)	Prec@1 47.500 (47.992)	Prec@5 81.000 (78.490)
Epoch: [47][1020/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.1016 (2.0094)	Prec@1 46.500 (47.992)	Prec@5 76.000 (78.499)
Epoch: [47][1030/9018]	Time 0.608 (0.612)	Data 0.001 (0.003)	Loss 2.1924 (2.0102)	Prec@1 43.000 (47.963)	Prec@5 74.000 (78.476)
Epoch: [47][1040/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 2.0690 (2.0106)	Prec@1 45.000 (47.950)	Prec@5 79.500 (78.473)
Epoch: [47][1050/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 1.8207 (2.0103)	Prec@1 48.500 (47.957)	Prec@5 81.500 (78.483)
Epoch: [47][1060/9018]	Time 0.605 (0.612)	Data 0.001 (0.003)	Loss 1.9589 (2.0101)	Prec@1 53.500 (47.962)	Prec@5 75.000 (78.482)
Epoch: [47][1070/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.1147 (2.0102)	Prec@1 49.000 (47.964)	Prec@5 76.500 (78.483)
Epoch: [47][1080/9018]	Time 0.624 (0.612)	Data 0.001 (0.003)	Loss 2.0141 (2.0098)	Prec@1 49.000 (47.988)	Prec@5 75.500 (78.480)
Epoch: [47][1090/9018]	Time 0.595 (0.612)	Data 0.001 (0.003)	Loss 2.0545 (2.0099)	Prec@1 44.500 (47.971)	Prec@5 77.500 (78.479)
Epoch: [47][1100/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 1.8076 (2.0099)	Prec@1 52.500 (47.978)	Prec@5 81.500 (78.479)
Epoch: [47][1110/9018]	Time 0.608 (0.612)	Data 0.001 (0.003)	Loss 1.8639 (2.0099)	Prec@1 49.000 (47.977)	Prec@5 82.000 (78.490)
Epoch: [47][1120/9018]	Time 0.603 (0.612)	Data 0.001 (0.003)	Loss 1.9861 (2.0108)	Prec@1 51.000 (47.962)	Prec@5 76.500 (78.473)
Epoch: [47][1130/9018]	Time 0.605 (0.612)	Data 0.001 (0.003)	Loss 1.8328 (2.0103)	Prec@1 49.500 (47.972)	Prec@5 81.000 (78.484)
Epoch: [47][1140/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 2.0077 (2.0103)	Prec@1 46.500 (47.972)	Prec@5 79.500 (78.482)
Epoch: [47][1150/9018]	Time 0.607 (0.612)	Data 0.001 (0.003)	Loss 2.2341 (2.0100)	Prec@1 42.500 (47.974)	Prec@5 74.000 (78.487)
Epoch: [47][1160/9018]	Time 0.591 (0.612)	Data 0.001 (0.003)	Loss 2.0706 (2.0096)	Prec@1 49.000 (47.987)	Prec@5 79.500 (78.497)
Epoch: [47][1170/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.0023 (2.0094)	Prec@1 47.000 (47.999)	Prec@5 82.000 (78.509)
Epoch: [47][1180/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 1.8732 (2.0099)	Prec@1 50.000 (47.987)	Prec@5 75.500 (78.493)
Epoch: [47][1190/9018]	Time 0.593 (0.612)	Data 0.001 (0.003)	Loss 2.0540 (2.0091)	Prec@1 49.000 (47.998)	Prec@5 77.000 (78.507)
Epoch: [47][1200/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.1362 (2.0089)	Prec@1 46.500 (47.991)	Prec@5 78.500 (78.508)
Epoch: [47][1210/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 2.0048 (2.0093)	Prec@1 42.500 (47.968)	Prec@5 82.000 (78.500)
Epoch: [47][1220/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 1.9847 (2.0085)	Prec@1 49.500 (47.980)	Prec@5 77.000 (78.511)
Epoch: [47][1230/9018]	Time 0.627 (0.612)	Data 0.001 (0.003)	Loss 2.1272 (2.0084)	Prec@1 44.500 (47.975)	Prec@5 73.500 (78.526)
Epoch: [47][1240/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 1.9274 (2.0086)	Prec@1 50.000 (47.971)	Prec@5 79.500 (78.521)
Epoch: [47][1250/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.0691 (2.0090)	Prec@1 48.500 (47.961)	Prec@5 76.500 (78.516)
Epoch: [47][1260/9018]	Time 0.606 (0.612)	Data 0.002 (0.003)	Loss 2.0590 (2.0092)	Prec@1 48.000 (47.973)	Prec@5 76.500 (78.515)
Epoch: [47][1270/9018]	Time 0.731 (0.612)	Data 0.001 (0.003)	Loss 2.1864 (2.0091)	Prec@1 45.500 (47.977)	Prec@5 73.500 (78.516)
Epoch: [47][1280/9018]	Time 0.628 (0.612)	Data 0.001 (0.003)	Loss 2.0672 (2.0090)	Prec@1 47.500 (47.979)	Prec@5 74.500 (78.513)
Epoch: [47][1290/9018]	Time 0.595 (0.612)	Data 0.001 (0.003)	Loss 1.9726 (2.0092)	Prec@1 46.500 (47.972)	Prec@5 81.000 (78.514)
Epoch: [47][1300/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 1.8091 (2.0091)	Prec@1 47.000 (47.970)	Prec@5 79.500 (78.513)
Epoch: [47][1310/9018]	Time 0.593 (0.612)	Data 0.001 (0.003)	Loss 2.1933 (2.0093)	Prec@1 45.500 (47.965)	Prec@5 75.500 (78.500)
Epoch: [47][1320/9018]	Time 0.713 (0.612)	Data 0.001 (0.002)	Loss 1.9276 (2.0100)	Prec@1 48.000 (47.953)	Prec@5 80.500 (78.492)
Epoch: [47][1330/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.1902 (2.0104)	Prec@1 47.000 (47.946)	Prec@5 77.000 (78.489)
Epoch: [47][1340/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 2.2914 (2.0104)	Prec@1 41.500 (47.944)	Prec@5 73.500 (78.492)
Epoch: [47][1350/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 1.9202 (2.0107)	Prec@1 46.500 (47.941)	Prec@5 83.000 (78.487)
Epoch: [47][1360/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 2.0277 (2.0112)	Prec@1 49.500 (47.938)	Prec@5 78.000 (78.477)
Epoch: [47][1370/9018]	Time 0.591 (0.612)	Data 0.001 (0.002)	Loss 2.2714 (2.0114)	Prec@1 43.000 (47.939)	Prec@5 73.000 (78.478)
Epoch: [47][1380/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 2.0014 (2.0111)	Prec@1 48.000 (47.949)	Prec@5 78.000 (78.476)
Epoch: [47][1390/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 1.8597 (2.0111)	Prec@1 48.500 (47.950)	Prec@5 83.500 (78.469)
Epoch: [47][1400/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.1378 (2.0118)	Prec@1 42.000 (47.944)	Prec@5 75.000 (78.460)
Epoch: [47][1410/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.2116 (2.0120)	Prec@1 41.000 (47.937)	Prec@5 73.500 (78.457)
Epoch: [47][1420/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.0450 (2.0118)	Prec@1 49.500 (47.945)	Prec@5 75.500 (78.463)
Epoch: [47][1430/9018]	Time 0.614 (0.612)	Data 0.001 (0.002)	Loss 2.0336 (2.0121)	Prec@1 45.000 (47.937)	Prec@5 78.000 (78.458)
Epoch: [47][1440/9018]	Time 0.592 (0.612)	Data 0.001 (0.002)	Loss 1.9747 (2.0121)	Prec@1 45.000 (47.934)	Prec@5 78.000 (78.456)
Epoch: [47][1450/9018]	Time 0.593 (0.612)	Data 0.001 (0.002)	Loss 2.1515 (2.0125)	Prec@1 44.500 (47.928)	Prec@5 75.000 (78.449)
Epoch: [47][1460/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 2.1208 (2.0127)	Prec@1 42.500 (47.916)	Prec@5 77.500 (78.446)
Epoch: [47][1470/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.8978 (2.0129)	Prec@1 50.500 (47.911)	Prec@5 82.500 (78.440)
Epoch: [47][1480/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 1.9961 (2.0130)	Prec@1 46.500 (47.914)	Prec@5 79.500 (78.437)
Epoch: [47][1490/9018]	Time 0.590 (0.612)	Data 0.001 (0.002)	Loss 2.0294 (2.0127)	Prec@1 46.000 (47.928)	Prec@5 78.000 (78.446)
Epoch: [47][1500/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.1795 (2.0124)	Prec@1 39.500 (47.936)	Prec@5 78.000 (78.449)
Epoch: [47][1510/9018]	Time 0.631 (0.612)	Data 0.001 (0.002)	Loss 2.0414 (2.0126)	Prec@1 48.500 (47.930)	Prec@5 78.500 (78.442)
Epoch: [47][1520/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 1.9140 (2.0127)	Prec@1 50.500 (47.926)	Prec@5 78.500 (78.441)
Epoch: [47][1530/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.0527 (2.0126)	Prec@1 48.000 (47.939)	Prec@5 75.000 (78.448)
Epoch: [47][1540/9018]	Time 0.592 (0.612)	Data 0.001 (0.002)	Loss 2.0540 (2.0130)	Prec@1 46.500 (47.922)	Prec@5 76.500 (78.439)
Epoch: [47][1550/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.1269 (2.0128)	Prec@1 44.000 (47.929)	Prec@5 78.500 (78.447)
Epoch: [47][1560/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 2.2891 (2.0130)	Prec@1 44.500 (47.922)	Prec@5 73.000 (78.445)
Epoch: [47][1570/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.9368 (2.0129)	Prec@1 48.500 (47.926)	Prec@5 81.000 (78.445)
Epoch: [47][1580/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.8397 (2.0127)	Prec@1 50.000 (47.923)	Prec@5 81.500 (78.444)
Epoch: [47][1590/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.0062 (2.0128)	Prec@1 49.000 (47.925)	Prec@5 77.000 (78.442)
Epoch: [47][1600/9018]	Time 0.720 (0.611)	Data 0.001 (0.002)	Loss 2.2290 (2.0129)	Prec@1 48.000 (47.915)	Prec@5 74.000 (78.444)
Epoch: [47][1610/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9160 (2.0132)	Prec@1 50.000 (47.905)	Prec@5 81.500 (78.442)
Epoch: [47][1620/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.1058 (2.0133)	Prec@1 47.000 (47.909)	Prec@5 80.500 (78.439)
Epoch: [47][1630/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 1.9617 (2.0137)	Prec@1 49.000 (47.907)	Prec@5 82.000 (78.434)
Epoch: [47][1640/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.2047 (2.0140)	Prec@1 43.500 (47.899)	Prec@5 74.000 (78.433)
Epoch: [47][1650/9018]	Time 0.719 (0.611)	Data 0.001 (0.002)	Loss 1.7437 (2.0142)	Prec@1 54.000 (47.895)	Prec@5 83.000 (78.427)
Epoch: [47][1660/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 1.8116 (2.0144)	Prec@1 54.500 (47.889)	Prec@5 83.000 (78.428)
Epoch: [47][1670/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.8211 (2.0140)	Prec@1 53.000 (47.897)	Prec@5 82.500 (78.436)
Epoch: [47][1680/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.2971 (2.0144)	Prec@1 45.000 (47.892)	Prec@5 75.500 (78.427)
Epoch: [47][1690/9018]	Time 0.628 (0.611)	Data 0.001 (0.002)	Loss 2.4737 (2.0148)	Prec@1 35.500 (47.889)	Prec@5 69.000 (78.421)
Epoch: [47][1700/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.9458 (2.0150)	Prec@1 43.000 (47.875)	Prec@5 81.500 (78.416)
Epoch: [47][1710/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.8891 (2.0147)	Prec@1 51.000 (47.876)	Prec@5 81.500 (78.418)
Epoch: [47][1720/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 1.8755 (2.0148)	Prec@1 52.000 (47.871)	Prec@5 83.000 (78.421)
Epoch: [47][1730/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0304 (2.0149)	Prec@1 51.000 (47.861)	Prec@5 79.000 (78.418)
Epoch: [47][1740/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0905 (2.0147)	Prec@1 46.000 (47.864)	Prec@5 75.500 (78.417)
Epoch: [47][1750/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.1982 (2.0152)	Prec@1 44.500 (47.852)	Prec@5 73.500 (78.399)
Epoch: [47][1760/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.1547 (2.0153)	Prec@1 47.500 (47.852)	Prec@5 75.000 (78.394)
Epoch: [47][1770/9018]	Time 0.590 (0.611)	Data 0.001 (0.002)	Loss 2.1737 (2.0155)	Prec@1 44.000 (47.851)	Prec@5 76.500 (78.392)
Epoch: [47][1780/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.9860 (2.0155)	Prec@1 45.500 (47.857)	Prec@5 83.500 (78.391)
Epoch: [47][1790/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 2.4900 (2.0160)	Prec@1 39.500 (47.848)	Prec@5 67.500 (78.377)
Epoch: [47][1800/9018]	Time 0.626 (0.611)	Data 0.001 (0.002)	Loss 1.8793 (2.0163)	Prec@1 49.500 (47.841)	Prec@5 78.500 (78.371)
Epoch: [47][1810/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.9143 (2.0163)	Prec@1 50.000 (47.833)	Prec@5 82.000 (78.374)
Epoch: [47][1820/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 2.0467 (2.0163)	Prec@1 52.500 (47.842)	Prec@5 77.500 (78.376)
Epoch: [47][1830/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9257 (2.0164)	Prec@1 49.000 (47.842)	Prec@5 80.000 (78.377)
Epoch: [47][1840/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.1050 (2.0166)	Prec@1 48.000 (47.844)	Prec@5 76.000 (78.375)
Epoch: [47][1850/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0709 (2.0165)	Prec@1 46.500 (47.847)	Prec@5 80.000 (78.384)
Epoch: [47][1860/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.8880 (2.0160)	Prec@1 51.500 (47.865)	Prec@5 79.500 (78.389)
Epoch: [47][1870/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.1016 (2.0160)	Prec@1 46.500 (47.862)	Prec@5 73.000 (78.389)
Epoch: [47][1880/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 1.9276 (2.0158)	Prec@1 48.000 (47.867)	Prec@5 79.500 (78.393)
Epoch: [47][1890/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.2075 (2.0162)	Prec@1 43.000 (47.853)	Prec@5 72.000 (78.387)
Epoch: [47][1900/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.9967 (2.0163)	Prec@1 50.500 (47.851)	Prec@5 76.000 (78.386)
Epoch: [47][1910/9018]	Time 0.589 (0.611)	Data 0.001 (0.002)	Loss 1.8541 (2.0162)	Prec@1 56.000 (47.856)	Prec@5 80.000 (78.384)
Epoch: [47][1920/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 1.9722 (2.0163)	Prec@1 52.000 (47.862)	Prec@5 78.500 (78.381)
Epoch: [47][1930/9018]	Time 0.688 (0.611)	Data 0.001 (0.002)	Loss 1.7691 (2.0163)	Prec@1 49.500 (47.862)	Prec@5 87.000 (78.387)
Epoch: [47][1940/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.2168 (2.0166)	Prec@1 44.000 (47.854)	Prec@5 71.500 (78.380)
Epoch: [47][1950/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0149 (2.0164)	Prec@1 47.500 (47.859)	Prec@5 78.500 (78.384)
Epoch: [47][1960/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.8671 (2.0165)	Prec@1 51.000 (47.857)	Prec@5 78.500 (78.379)
Epoch: [47][1970/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.1873 (2.0166)	Prec@1 43.500 (47.854)	Prec@5 76.500 (78.377)
Epoch: [47][1980/9018]	Time 0.727 (0.611)	Data 0.001 (0.002)	Loss 1.9802 (2.0164)	Prec@1 47.500 (47.860)	Prec@5 80.500 (78.379)
Epoch: [47][1990/9018]	Time 0.610 (0.611)	Data 0.003 (0.002)	Loss 1.9079 (2.0163)	Prec@1 51.500 (47.862)	Prec@5 83.000 (78.381)
Epoch: [47][2000/9018]	Time 0.591 (0.611)	Data 0.001 (0.002)	Loss 2.1034 (2.0165)	Prec@1 47.500 (47.857)	Prec@5 75.500 (78.376)
Epoch: [47][2010/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.8626 (2.0167)	Prec@1 51.500 (47.849)	Prec@5 83.000 (78.376)
Epoch: [47][2020/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.9625 (2.0165)	Prec@1 50.000 (47.859)	Prec@5 80.000 (78.379)
Epoch: [47][2030/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.6962 (2.0161)	Prec@1 54.000 (47.866)	Prec@5 86.500 (78.385)
Epoch: [47][2040/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.9614 (2.0160)	Prec@1 49.000 (47.866)	Prec@5 79.500 (78.379)
Epoch: [47][2050/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 2.0028 (2.0162)	Prec@1 48.000 (47.864)	Prec@5 76.500 (78.374)
Epoch: [47][2060/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.8738 (2.0157)	Prec@1 53.500 (47.883)	Prec@5 82.500 (78.383)
Epoch: [47][2070/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.7939 (2.0156)	Prec@1 54.000 (47.888)	Prec@5 80.000 (78.382)
Epoch: [47][2080/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0787 (2.0158)	Prec@1 46.000 (47.889)	Prec@5 78.500 (78.382)
Epoch: [47][2090/9018]	Time 0.590 (0.611)	Data 0.001 (0.002)	Loss 1.9797 (2.0157)	Prec@1 50.500 (47.893)	Prec@5 77.500 (78.379)
Epoch: [47][2100/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.8518 (2.0159)	Prec@1 52.500 (47.893)	Prec@5 81.500 (78.375)
Epoch: [47][2110/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.9300 (2.0161)	Prec@1 46.500 (47.887)	Prec@5 78.000 (78.368)
Epoch: [47][2120/9018]	Time 0.635 (0.611)	Data 0.001 (0.002)	Loss 2.1774 (2.0161)	Prec@1 47.500 (47.894)	Prec@5 77.000 (78.369)
Epoch: [47][2130/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.7230 (2.0161)	Prec@1 51.000 (47.892)	Prec@5 84.000 (78.367)
Epoch: [47][2140/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.9507 (2.0160)	Prec@1 48.500 (47.894)	Prec@5 78.000 (78.371)
Epoch: [47][2150/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.0557 (2.0162)	Prec@1 49.000 (47.896)	Prec@5 80.000 (78.368)
Epoch: [47][2160/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.1277 (2.0163)	Prec@1 44.000 (47.891)	Prec@5 79.000 (78.370)
Epoch: [47][2170/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 1.7953 (2.0160)	Prec@1 52.000 (47.898)	Prec@5 83.500 (78.372)
Epoch: [47][2180/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0032 (2.0161)	Prec@1 45.500 (47.896)	Prec@5 81.500 (78.376)
Epoch: [47][2190/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.9199 (2.0159)	Prec@1 51.500 (47.902)	Prec@5 78.500 (78.376)
Epoch: [47][2200/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.8866 (2.0160)	Prec@1 50.500 (47.899)	Prec@5 80.500 (78.372)
Epoch: [47][2210/9018]	Time 0.625 (0.611)	Data 0.001 (0.002)	Loss 1.8046 (2.0162)	Prec@1 47.000 (47.893)	Prec@5 81.000 (78.370)
Epoch: [47][2220/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.0050 (2.0162)	Prec@1 44.500 (47.892)	Prec@5 80.000 (78.369)
Epoch: [47][2230/9018]	Time 0.622 (0.611)	Data 0.001 (0.002)	Loss 1.9248 (2.0162)	Prec@1 52.000 (47.902)	Prec@5 78.500 (78.374)
Epoch: [47][2240/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.1627 (2.0164)	Prec@1 45.500 (47.896)	Prec@5 79.000 (78.370)
Epoch: [47][2250/9018]	Time 0.588 (0.611)	Data 0.001 (0.002)	Loss 2.0344 (2.0166)	Prec@1 49.000 (47.895)	Prec@5 76.500 (78.367)
Epoch: [47][2260/9018]	Time 0.708 (0.611)	Data 0.001 (0.002)	Loss 1.8236 (2.0163)	Prec@1 53.000 (47.905)	Prec@5 84.500 (78.376)
Epoch: [47][2270/9018]	Time 0.591 (0.611)	Data 0.001 (0.002)	Loss 1.9613 (2.0160)	Prec@1 47.000 (47.906)	Prec@5 77.000 (78.381)
Epoch: [47][2280/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.9576 (2.0162)	Prec@1 43.500 (47.895)	Prec@5 77.500 (78.376)
Epoch: [47][2290/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.9322 (2.0163)	Prec@1 51.500 (47.894)	Prec@5 79.000 (78.373)
Epoch: [47][2300/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 1.8878 (2.0163)	Prec@1 53.500 (47.899)	Prec@5 83.500 (78.374)
Epoch: [47][2310/9018]	Time 0.713 (0.611)	Data 0.001 (0.002)	Loss 2.1115 (2.0163)	Prec@1 45.500 (47.901)	Prec@5 79.000 (78.375)
Epoch: [47][2320/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.1422 (2.0167)	Prec@1 43.500 (47.897)	Prec@5 74.500 (78.371)
Epoch: [47][2330/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 1.9733 (2.0169)	Prec@1 48.500 (47.896)	Prec@5 82.500 (78.366)
Epoch: [47][2340/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.1723 (2.0167)	Prec@1 44.000 (47.904)	Prec@5 73.000 (78.370)
Epoch: [47][2350/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0321 (2.0168)	Prec@1 45.000 (47.900)	Prec@5 80.000 (78.366)
Epoch: [47][2360/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.1257 (2.0171)	Prec@1 48.000 (47.891)	Prec@5 75.500 (78.361)
Epoch: [47][2370/9018]	Time 0.612 (0.611)	Data 0.001 (0.002)	Loss 1.9664 (2.0169)	Prec@1 51.500 (47.902)	Prec@5 76.500 (78.362)
Epoch: [47][2380/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.1511 (2.0171)	Prec@1 47.000 (47.900)	Prec@5 74.500 (78.359)
Epoch: [47][2390/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 2.1626 (2.0170)	Prec@1 46.000 (47.901)	Prec@5 74.000 (78.362)
Epoch: [47][2400/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.2642 (2.0174)	Prec@1 39.500 (47.892)	Prec@5 71.000 (78.356)
Epoch: [47][2410/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.9534 (2.0173)	Prec@1 49.500 (47.893)	Prec@5 78.500 (78.356)
Epoch: [47][2420/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 2.0323 (2.0172)	Prec@1 47.500 (47.896)	Prec@5 79.500 (78.359)
Epoch: [47][2430/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 2.0285 (2.0174)	Prec@1 48.000 (47.894)	Prec@5 79.000 (78.355)
Epoch: [47][2440/9018]	Time 0.622 (0.611)	Data 0.001 (0.002)	Loss 1.7679 (2.0173)	Prec@1 56.000 (47.899)	Prec@5 81.500 (78.356)
Epoch: [47][2450/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.0172 (2.0176)	Prec@1 53.500 (47.898)	Prec@5 79.500 (78.351)
Epoch: [47][2460/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.7821 (2.0174)	Prec@1 52.000 (47.909)	Prec@5 83.000 (78.353)
Epoch: [47][2470/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.9085 (2.0173)	Prec@1 50.500 (47.908)	Prec@5 79.000 (78.355)
Epoch: [47][2480/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 2.0345 (2.0173)	Prec@1 46.000 (47.906)	Prec@5 77.000 (78.352)
Epoch: [47][2490/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.1942 (2.0175)	Prec@1 47.500 (47.902)	Prec@5 76.500 (78.346)
Epoch: [47][2500/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.1107 (2.0176)	Prec@1 45.500 (47.900)	Prec@5 73.500 (78.341)
Epoch: [47][2510/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.7743 (2.0175)	Prec@1 53.500 (47.906)	Prec@5 85.000 (78.344)
Epoch: [47][2520/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.7427 (2.0171)	Prec@1 51.500 (47.914)	Prec@5 83.000 (78.353)
Epoch: [47][2530/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 1.8971 (2.0171)	Prec@1 49.500 (47.914)	Prec@5 82.000 (78.354)
Epoch: [47][2540/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 2.0460 (2.0169)	Prec@1 44.000 (47.917)	Prec@5 78.000 (78.356)
Epoch: [47][2550/9018]	Time 0.591 (0.611)	Data 0.001 (0.002)	Loss 2.0883 (2.0169)	Prec@1 46.000 (47.917)	Prec@5 77.000 (78.358)
Epoch: [47][2560/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0382 (2.0170)	Prec@1 47.000 (47.910)	Prec@5 75.000 (78.361)
Epoch: [47][2570/9018]	Time 0.622 (0.611)	Data 0.001 (0.002)	Loss 2.0439 (2.0168)	Prec@1 45.000 (47.915)	Prec@5 76.500 (78.363)
Epoch: [47][2580/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0637 (2.0168)	Prec@1 47.000 (47.917)	Prec@5 77.500 (78.362)
Epoch: [47][2590/9018]	Time 0.717 (0.611)	Data 0.001 (0.002)	Loss 1.8364 (2.0168)	Prec@1 54.000 (47.922)	Prec@5 81.500 (78.359)
Epoch: [47][2600/9018]	Time 0.621 (0.611)	Data 0.001 (0.002)	Loss 1.9331 (2.0168)	Prec@1 54.000 (47.928)	Prec@5 81.500 (78.359)
Epoch: [47][2610/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.8659 (2.0166)	Prec@1 52.000 (47.930)	Prec@5 82.500 (78.364)
Epoch: [47][2620/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 1.9355 (2.0164)	Prec@1 46.000 (47.934)	Prec@5 78.500 (78.369)
Epoch: [47][2630/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.1081 (2.0167)	Prec@1 51.000 (47.923)	Prec@5 74.000 (78.362)
Epoch: [47][2640/9018]	Time 0.716 (0.611)	Data 0.001 (0.002)	Loss 1.9149 (2.0170)	Prec@1 48.500 (47.914)	Prec@5 77.500 (78.353)
Epoch: [47][2650/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.9973 (2.0172)	Prec@1 47.000 (47.909)	Prec@5 77.500 (78.347)
Epoch: [47][2660/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.0318 (2.0170)	Prec@1 43.000 (47.911)	Prec@5 79.000 (78.349)
Epoch: [47][2670/9018]	Time 0.609 (0.610)	Data 0.001 (0.002)	Loss 2.2808 (2.0174)	Prec@1 42.500 (47.906)	Prec@5 75.500 (78.345)
Epoch: [47][2680/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.0878 (2.0173)	Prec@1 46.000 (47.908)	Prec@5 77.000 (78.347)
Epoch: [47][2690/9018]	Time 0.624 (0.611)	Data 0.001 (0.002)	Loss 1.8610 (2.0172)	Prec@1 50.500 (47.908)	Prec@5 80.500 (78.350)
Epoch: [47][2700/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.0229 (2.0174)	Prec@1 41.500 (47.902)	Prec@5 77.500 (78.348)
Epoch: [47][2710/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 2.0773 (2.0173)	Prec@1 48.500 (47.902)	Prec@5 80.000 (78.351)
Epoch: [47][2720/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 1.9014 (2.0172)	Prec@1 51.000 (47.908)	Prec@5 79.000 (78.351)
Epoch: [47][2730/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 1.9108 (2.0174)	Prec@1 51.000 (47.901)	Prec@5 79.500 (78.348)
Epoch: [47][2740/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.9494 (2.0172)	Prec@1 45.500 (47.897)	Prec@5 80.000 (78.352)
Epoch: [47][2750/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 2.0084 (2.0173)	Prec@1 50.500 (47.899)	Prec@5 78.500 (78.351)
Epoch: [47][2760/9018]	Time 0.607 (0.610)	Data 0.001 (0.002)	Loss 2.0041 (2.0175)	Prec@1 47.000 (47.894)	Prec@5 79.000 (78.350)
Epoch: [47][2770/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 2.0365 (2.0177)	Prec@1 48.000 (47.892)	Prec@5 77.500 (78.345)
Epoch: [47][2780/9018]	Time 0.623 (0.610)	Data 0.001 (0.002)	Loss 2.2742 (2.0178)	Prec@1 44.000 (47.892)	Prec@5 76.000 (78.345)
Epoch: [47][2790/9018]	Time 0.596 (0.610)	Data 0.001 (0.002)	Loss 1.8875 (2.0179)	Prec@1 46.500 (47.886)	Prec@5 79.000 (78.343)
Epoch: [47][2800/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 2.0256 (2.0179)	Prec@1 44.500 (47.881)	Prec@5 78.500 (78.343)
Epoch: [47][2810/9018]	Time 0.593 (0.610)	Data 0.001 (0.002)	Loss 2.0155 (2.0179)	Prec@1 48.000 (47.882)	Prec@5 78.000 (78.344)
Epoch: [47][2820/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.1172 (2.0180)	Prec@1 46.000 (47.882)	Prec@5 76.000 (78.340)
Epoch: [47][2830/9018]	Time 0.625 (0.610)	Data 0.001 (0.002)	Loss 1.8201 (2.0176)	Prec@1 50.000 (47.890)	Prec@5 79.000 (78.346)
Epoch: [47][2840/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.1243 (2.0174)	Prec@1 42.000 (47.888)	Prec@5 76.000 (78.350)
Epoch: [47][2850/9018]	Time 0.587 (0.610)	Data 0.001 (0.002)	Loss 2.1441 (2.0177)	Prec@1 48.000 (47.882)	Prec@5 77.500 (78.345)
Epoch: [47][2860/9018]	Time 0.620 (0.610)	Data 0.001 (0.002)	Loss 1.9992 (2.0177)	Prec@1 44.000 (47.881)	Prec@5 80.000 (78.344)
Epoch: [47][2870/9018]	Time 0.592 (0.610)	Data 0.001 (0.002)	Loss 1.9983 (2.0176)	Prec@1 47.500 (47.884)	Prec@5 78.000 (78.345)
Epoch: [47][2880/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 2.0195 (2.0175)	Prec@1 45.500 (47.886)	Prec@5 82.500 (78.346)
Epoch: [47][2890/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.9836 (2.0175)	Prec@1 47.000 (47.886)	Prec@5 77.000 (78.344)
Epoch: [47][2900/9018]	Time 0.605 (0.610)	Data 0.001 (0.002)	Loss 2.0801 (2.0179)	Prec@1 46.500 (47.880)	Prec@5 80.500 (78.334)
Epoch: [47][2910/9018]	Time 0.611 (0.610)	Data 0.001 (0.002)	Loss 2.0168 (2.0179)	Prec@1 44.000 (47.881)	Prec@5 76.000 (78.334)
Epoch: [47][2920/9018]	Time 0.718 (0.610)	Data 0.001 (0.002)	Loss 1.9849 (2.0179)	Prec@1 48.000 (47.884)	Prec@5 77.500 (78.332)
Epoch: [47][2930/9018]	Time 0.596 (0.610)	Data 0.001 (0.002)	Loss 2.0542 (2.0179)	Prec@1 48.500 (47.885)	Prec@5 79.500 (78.331)
Epoch: [47][2940/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 2.0638 (2.0182)	Prec@1 46.500 (47.879)	Prec@5 80.500 (78.327)
Epoch: [47][2950/9018]	Time 0.620 (0.610)	Data 0.001 (0.002)	Loss 2.1614 (2.0184)	Prec@1 45.000 (47.876)	Prec@5 79.000 (78.323)
Epoch: [47][2960/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 1.9359 (2.0187)	Prec@1 51.000 (47.872)	Prec@5 80.500 (78.316)
Epoch: [47][2970/9018]	Time 0.726 (0.610)	Data 0.001 (0.002)	Loss 1.8735 (2.0188)	Prec@1 49.000 (47.867)	Prec@5 80.000 (78.316)
Epoch: [47][2980/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 1.9805 (2.0188)	Prec@1 46.500 (47.865)	Prec@5 76.500 (78.315)
Epoch: [47][2990/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.0593 (2.0187)	Prec@1 44.500 (47.867)	Prec@5 75.500 (78.316)
Epoch: [47][3000/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 1.8770 (2.0186)	Prec@1 47.500 (47.864)	Prec@5 81.500 (78.319)
Epoch: [47][3010/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 1.9429 (2.0184)	Prec@1 50.000 (47.867)	Prec@5 79.500 (78.323)
Epoch: [47][3020/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 2.0082 (2.0185)	Prec@1 44.500 (47.861)	Prec@5 78.000 (78.323)
Epoch: [47][3030/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 1.9888 (2.0183)	Prec@1 46.500 (47.861)	Prec@5 75.500 (78.322)
Epoch: [47][3040/9018]	Time 0.591 (0.610)	Data 0.001 (0.002)	Loss 1.9376 (2.0182)	Prec@1 46.000 (47.865)	Prec@5 80.000 (78.324)
Epoch: [47][3050/9018]	Time 0.590 (0.610)	Data 0.001 (0.002)	Loss 1.9705 (2.0183)	Prec@1 49.500 (47.863)	Prec@5 84.000 (78.325)
Epoch: [47][3060/9018]	Time 0.591 (0.610)	Data 0.001 (0.002)	Loss 1.9940 (2.0182)	Prec@1 47.000 (47.863)	Prec@5 78.500 (78.324)
Epoch: [47][3070/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.9849 (2.0183)	Prec@1 51.000 (47.865)	Prec@5 79.500 (78.323)
Epoch: [47][3080/9018]	Time 0.629 (0.610)	Data 0.001 (0.002)	Loss 2.0689 (2.0184)	Prec@1 48.500 (47.866)	Prec@5 79.500 (78.321)
Epoch: [47][3090/9018]	Time 0.610 (0.610)	Data 0.001 (0.002)	Loss 2.0568 (2.0184)	Prec@1 48.500 (47.869)	Prec@5 77.000 (78.317)
Epoch: [47][3100/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 2.0465 (2.0185)	Prec@1 47.000 (47.868)	Prec@5 78.000 (78.318)
Epoch: [47][3110/9018]	Time 0.596 (0.610)	Data 0.001 (0.002)	Loss 2.1084 (2.0185)	Prec@1 46.000 (47.867)	Prec@5 79.500 (78.318)
Epoch: [47][3120/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0180 (2.0185)	Prec@1 47.000 (47.872)	Prec@5 78.000 (78.320)
Epoch: [47][3130/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.9400 (2.0187)	Prec@1 50.500 (47.869)	Prec@5 77.500 (78.315)
Epoch: [47][3140/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.9626 (2.0184)	Prec@1 47.000 (47.873)	Prec@5 79.500 (78.319)
Epoch: [47][3150/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0043 (2.0185)	Prec@1 47.000 (47.874)	Prec@5 81.500 (78.320)
Epoch: [47][3160/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.3023 (2.0184)	Prec@1 44.500 (47.878)	Prec@5 72.000 (78.321)
Epoch: [47][3170/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0631 (2.0185)	Prec@1 47.500 (47.880)	Prec@5 75.500 (78.320)
Epoch: [47][3180/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 2.0670 (2.0184)	Prec@1 47.000 (47.884)	Prec@5 77.000 (78.320)
Epoch: [47][3190/9018]	Time 0.628 (0.610)	Data 0.001 (0.001)	Loss 2.1530 (2.0187)	Prec@1 49.000 (47.875)	Prec@5 78.500 (78.318)
Epoch: [47][3200/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9556 (2.0189)	Prec@1 48.500 (47.874)	Prec@5 81.500 (78.315)
Epoch: [47][3210/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9862 (2.0190)	Prec@1 50.000 (47.870)	Prec@5 80.500 (78.313)
Epoch: [47][3220/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0014 (2.0190)	Prec@1 42.500 (47.869)	Prec@5 83.000 (78.313)
Epoch: [47][3230/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0307 (2.0190)	Prec@1 45.000 (47.866)	Prec@5 78.500 (78.314)
Epoch: [47][3240/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.3123 (2.0192)	Prec@1 42.000 (47.861)	Prec@5 72.000 (78.311)
Epoch: [47][3250/9018]	Time 0.741 (0.610)	Data 0.001 (0.001)	Loss 1.9761 (2.0191)	Prec@1 49.500 (47.861)	Prec@5 78.000 (78.311)
Epoch: [47][3260/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 2.1418 (2.0192)	Prec@1 48.000 (47.858)	Prec@5 71.500 (78.308)
Epoch: [47][3270/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.1758 (2.0191)	Prec@1 41.500 (47.862)	Prec@5 72.500 (78.308)
Epoch: [47][3280/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 1.9792 (2.0190)	Prec@1 52.000 (47.863)	Prec@5 76.500 (78.311)
Epoch: [47][3290/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 2.0584 (2.0191)	Prec@1 45.500 (47.863)	Prec@5 78.000 (78.311)
Epoch: [47][3300/9018]	Time 0.717 (0.610)	Data 0.001 (0.001)	Loss 1.9289 (2.0192)	Prec@1 53.500 (47.865)	Prec@5 81.500 (78.311)
Epoch: [47][3310/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9801 (2.0192)	Prec@1 48.000 (47.863)	Prec@5 81.000 (78.310)
Epoch: [47][3320/9018]	Time 0.615 (0.610)	Data 0.001 (0.001)	Loss 2.1949 (2.0193)	Prec@1 41.000 (47.861)	Prec@5 72.000 (78.307)
Epoch: [47][3330/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.9695 (2.0192)	Prec@1 47.000 (47.863)	Prec@5 79.000 (78.306)
Epoch: [47][3340/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.8983 (2.0191)	Prec@1 49.500 (47.867)	Prec@5 79.000 (78.308)
Epoch: [47][3350/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9936 (2.0191)	Prec@1 46.500 (47.867)	Prec@5 78.500 (78.306)
Epoch: [47][3360/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1583 (2.0192)	Prec@1 42.000 (47.867)	Prec@5 78.000 (78.301)
Epoch: [47][3370/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9263 (2.0191)	Prec@1 54.000 (47.871)	Prec@5 76.500 (78.301)
Epoch: [47][3380/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.8194 (2.0189)	Prec@1 55.000 (47.871)	Prec@5 81.500 (78.303)
Epoch: [47][3390/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0679 (2.0189)	Prec@1 48.500 (47.870)	Prec@5 78.000 (78.305)
Epoch: [47][3400/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.7918 (2.0188)	Prec@1 50.500 (47.868)	Prec@5 85.000 (78.306)
Epoch: [47][3410/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0854 (2.0189)	Prec@1 46.000 (47.863)	Prec@5 76.000 (78.305)
Epoch: [47][3420/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.0852 (2.0190)	Prec@1 44.500 (47.861)	Prec@5 76.000 (78.302)
Epoch: [47][3430/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.8966 (2.0191)	Prec@1 50.000 (47.861)	Prec@5 77.000 (78.296)
Epoch: [47][3440/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1227 (2.0193)	Prec@1 42.000 (47.858)	Prec@5 78.000 (78.295)
Epoch: [47][3450/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0290 (2.0194)	Prec@1 52.500 (47.857)	Prec@5 77.000 (78.295)
Epoch: [47][3460/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9849 (2.0194)	Prec@1 45.500 (47.850)	Prec@5 80.000 (78.296)
Epoch: [47][3470/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0058 (2.0194)	Prec@1 46.500 (47.853)	Prec@5 78.000 (78.295)
Epoch: [47][3480/9018]	Time 0.615 (0.610)	Data 0.001 (0.001)	Loss 1.9421 (2.0195)	Prec@1 50.000 (47.854)	Prec@5 75.000 (78.291)
Epoch: [47][3490/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.2169 (2.0196)	Prec@1 42.500 (47.850)	Prec@5 77.000 (78.289)
Epoch: [47][3500/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.1390 (2.0197)	Prec@1 46.500 (47.847)	Prec@5 76.000 (78.285)
Epoch: [47][3510/9018]	Time 0.616 (0.610)	Data 0.001 (0.001)	Loss 1.7410 (2.0197)	Prec@1 58.500 (47.849)	Prec@5 84.000 (78.286)
Epoch: [47][3520/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0255 (2.0197)	Prec@1 49.000 (47.851)	Prec@5 76.500 (78.283)
Epoch: [47][3530/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9824 (2.0199)	Prec@1 52.500 (47.846)	Prec@5 79.000 (78.280)
Epoch: [47][3540/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0784 (2.0201)	Prec@1 44.000 (47.844)	Prec@5 76.500 (78.276)
Epoch: [47][3550/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0869 (2.0201)	Prec@1 41.500 (47.845)	Prec@5 79.000 (78.278)
Epoch: [47][3560/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1003 (2.0201)	Prec@1 45.500 (47.846)	Prec@5 76.500 (78.278)
Epoch: [47][3570/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.2758 (2.0201)	Prec@1 44.500 (47.849)	Prec@5 76.000 (78.277)
Epoch: [47][3580/9018]	Time 0.717 (0.610)	Data 0.001 (0.001)	Loss 1.7941 (2.0201)	Prec@1 52.500 (47.849)	Prec@5 84.000 (78.277)
Epoch: [47][3590/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.8229 (2.0202)	Prec@1 53.500 (47.846)	Prec@5 81.500 (78.278)
Epoch: [47][3600/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0890 (2.0203)	Prec@1 43.500 (47.841)	Prec@5 78.000 (78.277)
Epoch: [47][3610/9018]	Time 0.614 (0.610)	Data 0.001 (0.001)	Loss 1.9939 (2.0202)	Prec@1 47.500 (47.843)	Prec@5 77.500 (78.276)
Epoch: [47][3620/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9985 (2.0200)	Prec@1 50.000 (47.847)	Prec@5 77.000 (78.284)
Epoch: [47][3630/9018]	Time 0.720 (0.610)	Data 0.001 (0.001)	Loss 1.9391 (2.0200)	Prec@1 47.000 (47.845)	Prec@5 83.000 (78.285)
Epoch: [47][3640/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9777 (2.0199)	Prec@1 49.000 (47.850)	Prec@5 76.500 (78.289)
Epoch: [47][3650/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.2553 (2.0201)	Prec@1 41.500 (47.844)	Prec@5 76.500 (78.286)
Epoch: [47][3660/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.2087 (2.0202)	Prec@1 42.000 (47.843)	Prec@5 75.000 (78.283)
Epoch: [47][3670/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.0036 (2.0204)	Prec@1 48.500 (47.843)	Prec@5 81.000 (78.280)
Epoch: [47][3680/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1971 (2.0204)	Prec@1 43.000 (47.840)	Prec@5 77.000 (78.279)
Epoch: [47][3690/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0266 (2.0206)	Prec@1 47.000 (47.838)	Prec@5 79.000 (78.277)
Epoch: [47][3700/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9926 (2.0206)	Prec@1 45.000 (47.836)	Prec@5 80.500 (78.276)
Epoch: [47][3710/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0071 (2.0207)	Prec@1 45.000 (47.833)	Prec@5 78.500 (78.277)
Epoch: [47][3720/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.2377 (2.0209)	Prec@1 42.000 (47.831)	Prec@5 78.000 (78.277)
Epoch: [47][3730/9018]	Time 0.632 (0.610)	Data 0.001 (0.001)	Loss 2.0592 (2.0208)	Prec@1 47.000 (47.834)	Prec@5 79.500 (78.278)
Epoch: [47][3740/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1017 (2.0207)	Prec@1 46.000 (47.836)	Prec@5 75.500 (78.278)
Epoch: [47][3750/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.1483 (2.0208)	Prec@1 45.500 (47.833)	Prec@5 77.500 (78.276)
Epoch: [47][3760/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.8846 (2.0207)	Prec@1 49.000 (47.832)	Prec@5 77.500 (78.275)
Epoch: [47][3770/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.9539 (2.0208)	Prec@1 49.500 (47.832)	Prec@5 81.000 (78.275)
Epoch: [47][3780/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0872 (2.0208)	Prec@1 43.000 (47.830)	Prec@5 78.500 (78.279)
Epoch: [47][3790/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1943 (2.0207)	Prec@1 44.000 (47.832)	Prec@5 76.000 (78.277)
Epoch: [47][3800/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1465 (2.0208)	Prec@1 44.500 (47.834)	Prec@5 74.500 (78.272)
Epoch: [47][3810/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0467 (2.0210)	Prec@1 48.000 (47.832)	Prec@5 81.500 (78.272)
Epoch: [47][3820/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.0740 (2.0211)	Prec@1 50.500 (47.830)	Prec@5 78.000 (78.269)
Epoch: [47][3830/9018]	Time 0.624 (0.610)	Data 0.001 (0.001)	Loss 2.2188 (2.0210)	Prec@1 44.000 (47.833)	Prec@5 72.000 (78.271)
Epoch: [47][3840/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0002 (2.0210)	Prec@1 47.000 (47.834)	Prec@5 76.000 (78.269)
Epoch: [47][3850/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1348 (2.0211)	Prec@1 42.500 (47.829)	Prec@5 76.500 (78.269)
Epoch: [47][3860/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.2060 (2.0212)	Prec@1 39.500 (47.823)	Prec@5 76.500 (78.268)
Epoch: [47][3870/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9314 (2.0212)	Prec@1 47.000 (47.820)	Prec@5 78.500 (78.269)
Epoch: [47][3880/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1027 (2.0213)	Prec@1 49.000 (47.815)	Prec@5 79.000 (78.271)
Epoch: [47][3890/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1564 (2.0212)	Prec@1 46.500 (47.817)	Prec@5 77.500 (78.274)
Epoch: [47][3900/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9355 (2.0212)	Prec@1 47.500 (47.816)	Prec@5 83.500 (78.272)
Epoch: [47][3910/9018]	Time 0.718 (0.610)	Data 0.001 (0.001)	Loss 2.0417 (2.0213)	Prec@1 45.000 (47.813)	Prec@5 81.000 (78.272)
Epoch: [47][3920/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.1193 (2.0213)	Prec@1 44.000 (47.809)	Prec@5 79.000 (78.273)
Epoch: [47][3930/9018]	Time 0.619 (0.610)	Data 0.001 (0.001)	Loss 2.2322 (2.0215)	Prec@1 46.500 (47.807)	Prec@5 72.500 (78.272)
Epoch: [47][3940/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.8533 (2.0216)	Prec@1 52.000 (47.804)	Prec@5 81.500 (78.271)
Epoch: [47][3950/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9598 (2.0217)	Prec@1 49.500 (47.802)	Prec@5 78.500 (78.268)
Epoch: [47][3960/9018]	Time 0.706 (0.610)	Data 0.001 (0.001)	Loss 2.0584 (2.0216)	Prec@1 44.500 (47.803)	Prec@5 79.500 (78.273)
Epoch: [47][3970/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.9486 (2.0216)	Prec@1 47.500 (47.802)	Prec@5 80.500 (78.271)
Epoch: [47][3980/9018]	Time 0.625 (0.610)	Data 0.001 (0.001)	Loss 1.9076 (2.0214)	Prec@1 53.500 (47.808)	Prec@5 82.000 (78.276)
Epoch: [47][3990/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1340 (2.0215)	Prec@1 43.500 (47.810)	Prec@5 77.000 (78.275)
Epoch: [47][4000/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.1356 (2.0215)	Prec@1 46.500 (47.812)	Prec@5 73.500 (78.274)
Epoch: [47][4010/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1706 (2.0217)	Prec@1 48.500 (47.812)	Prec@5 75.500 (78.272)
Epoch: [47][4020/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.1609 (2.0216)	Prec@1 45.500 (47.813)	Prec@5 73.500 (78.274)
Epoch: [47][4030/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.1800 (2.0217)	Prec@1 44.500 (47.816)	Prec@5 75.000 (78.274)
Epoch: [47][4040/9018]	Time 0.628 (0.610)	Data 0.001 (0.001)	Loss 1.9708 (2.0217)	Prec@1 52.000 (47.815)	Prec@5 79.000 (78.270)
Epoch: [47][4050/9018]	Time 0.590 (0.610)	Data 0.001 (0.001)	Loss 2.0461 (2.0217)	Prec@1 45.500 (47.814)	Prec@5 76.500 (78.273)
Epoch: [47][4060/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.7733 (2.0218)	Prec@1 54.500 (47.811)	Prec@5 83.500 (78.272)
Epoch: [47][4070/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1196 (2.0220)	Prec@1 44.000 (47.805)	Prec@5 80.500 (78.270)
Epoch: [47][4080/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1100 (2.0219)	Prec@1 45.500 (47.806)	Prec@5 76.500 (78.271)
Epoch: [47][4090/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0648 (2.0220)	Prec@1 49.000 (47.804)	Prec@5 76.500 (78.269)
Epoch: [47][4100/9018]	Time 0.625 (0.610)	Data 0.001 (0.001)	Loss 2.1105 (2.0222)	Prec@1 43.000 (47.799)	Prec@5 76.000 (78.268)
Epoch: [47][4110/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1780 (2.0220)	Prec@1 44.000 (47.801)	Prec@5 76.500 (78.271)
Epoch: [47][4120/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.8892 (2.0220)	Prec@1 54.500 (47.802)	Prec@5 78.500 (78.275)
Epoch: [47][4130/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.8322 (2.0219)	Prec@1 48.500 (47.803)	Prec@5 79.500 (78.275)
Epoch: [47][4140/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0944 (2.0220)	Prec@1 45.500 (47.801)	Prec@5 77.500 (78.273)
Epoch: [47][4150/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1610 (2.0222)	Prec@1 42.500 (47.796)	Prec@5 77.000 (78.269)
Epoch: [47][4160/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.8180 (2.0223)	Prec@1 53.500 (47.794)	Prec@5 79.500 (78.267)
Epoch: [47][4170/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1929 (2.0224)	Prec@1 42.500 (47.789)	Prec@5 74.500 (78.267)
Epoch: [47][4180/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.0883 (2.0224)	Prec@1 46.000 (47.789)	Prec@5 77.500 (78.270)
Epoch: [47][4190/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0683 (2.0223)	Prec@1 44.000 (47.790)	Prec@5 78.500 (78.271)
Epoch: [47][4200/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.2857 (2.0224)	Prec@1 46.500 (47.792)	Prec@5 72.500 (78.268)
Epoch: [47][4210/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9148 (2.0226)	Prec@1 48.500 (47.789)	Prec@5 81.000 (78.265)
Epoch: [47][4220/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 2.1141 (2.0226)	Prec@1 48.500 (47.788)	Prec@5 75.000 (78.262)
Epoch: [47][4230/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.9962 (2.0227)	Prec@1 47.500 (47.785)	Prec@5 78.000 (78.260)
Epoch: [47][4240/9018]	Time 0.741 (0.610)	Data 0.001 (0.001)	Loss 1.8723 (2.0225)	Prec@1 47.500 (47.787)	Prec@5 83.000 (78.263)
Epoch: [47][4250/9018]	Time 0.628 (0.610)	Data 0.001 (0.001)	Loss 2.0367 (2.0226)	Prec@1 48.500 (47.787)	Prec@5 78.000 (78.261)
Epoch: [47][4260/9018]	Time 0.588 (0.610)	Data 0.001 (0.001)	Loss 1.9527 (2.0228)	Prec@1 52.500 (47.785)	Prec@5 77.500 (78.258)
Epoch: [47][4270/9018]	Time 0.609 (0.610)	Data 0.001 (0.001)	Loss 2.1297 (2.0229)	Prec@1 41.500 (47.780)	Prec@5 74.500 (78.255)
Epoch: [47][4280/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9354 (2.0230)	Prec@1 50.000 (47.777)	Prec@5 81.000 (78.255)
Epoch: [47][4290/9018]	Time 0.719 (0.610)	Data 0.001 (0.001)	Loss 2.2159 (2.0233)	Prec@1 46.500 (47.772)	Prec@5 75.000 (78.249)
Epoch: [47][4300/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.8127 (2.0232)	Prec@1 53.000 (47.776)	Prec@5 81.500 (78.248)
Epoch: [47][4310/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0249 (2.0232)	Prec@1 48.000 (47.781)	Prec@5 79.500 (78.250)
Epoch: [47][4320/9018]	Time 0.617 (0.610)	Data 0.001 (0.001)	Loss 2.2098 (2.0232)	Prec@1 46.500 (47.779)	Prec@5 75.500 (78.250)
Epoch: [47][4330/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 2.1544 (2.0233)	Prec@1 46.500 (47.777)	Prec@5 79.000 (78.250)
Epoch: [47][4340/9018]	Time 0.623 (0.610)	Data 0.001 (0.001)	Loss 1.7346 (2.0233)	Prec@1 53.000 (47.775)	Prec@5 84.000 (78.254)
Epoch: [47][4350/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9371 (2.0233)	Prec@1 53.000 (47.776)	Prec@5 77.500 (78.254)
Epoch: [47][4360/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.9411 (2.0233)	Prec@1 50.500 (47.770)	Prec@5 81.500 (78.254)
Epoch: [47][4370/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 1.9901 (2.0232)	Prec@1 49.000 (47.772)	Prec@5 78.000 (78.257)
Epoch: [47][4380/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.2135 (2.0233)	Prec@1 43.500 (47.771)	Prec@5 76.500 (78.258)
Epoch: [47][4390/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.9176 (2.0233)	Prec@1 49.500 (47.771)	Prec@5 78.000 (78.257)
Epoch: [47][4400/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.9222 (2.0233)	Prec@1 48.500 (47.772)	Prec@5 79.500 (78.257)
Epoch: [47][4410/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0761 (2.0233)	Prec@1 44.500 (47.770)	Prec@5 80.000 (78.255)
Epoch: [47][4420/9018]	Time 0.612 (0.610)	Data 0.001 (0.001)	Loss 2.0424 (2.0234)	Prec@1 47.500 (47.769)	Prec@5 75.000 (78.252)
Epoch: [47][4430/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.2064 (2.0235)	Prec@1 42.000 (47.767)	Prec@5 77.000 (78.250)
Epoch: [47][4440/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9135 (2.0235)	Prec@1 53.000 (47.766)	Prec@5 81.000 (78.249)
Epoch: [47][4450/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0589 (2.0235)	Prec@1 46.500 (47.765)	Prec@5 78.000 (78.249)
Epoch: [47][4460/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.8565 (2.0235)	Prec@1 51.000 (47.765)	Prec@5 78.000 (78.246)
Epoch: [47][4470/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9073 (2.0233)	Prec@1 46.000 (47.770)	Prec@5 79.500 (78.250)
Epoch: [47][4480/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0424 (2.0234)	Prec@1 49.000 (47.767)	Prec@5 79.500 (78.250)
Epoch: [47][4490/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.8284 (2.0234)	Prec@1 55.000 (47.769)	Prec@5 80.000 (78.249)
Epoch: [47][4500/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.8526 (2.0235)	Prec@1 49.000 (47.769)	Prec@5 82.500 (78.246)
Epoch: [47][4510/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0100 (2.0235)	Prec@1 46.500 (47.770)	Prec@5 79.000 (78.245)
Epoch: [47][4520/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.8910 (2.0235)	Prec@1 51.500 (47.769)	Prec@5 79.000 (78.242)
Epoch: [47][4530/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0674 (2.0236)	Prec@1 45.000 (47.768)	Prec@5 77.500 (78.241)
Epoch: [47][4540/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 2.0437 (2.0234)	Prec@1 49.000 (47.773)	Prec@5 77.500 (78.241)
Epoch: [47][4550/9018]	Time 0.633 (0.610)	Data 0.001 (0.001)	Loss 2.0350 (2.0234)	Prec@1 46.500 (47.773)	Prec@5 75.000 (78.239)
Epoch: [47][4560/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9874 (2.0235)	Prec@1 50.500 (47.774)	Prec@5 79.500 (78.236)
Epoch: [47][4570/9018]	Time 0.711 (0.610)	Data 0.001 (0.001)	Loss 2.2382 (2.0235)	Prec@1 45.000 (47.774)	Prec@5 72.500 (78.236)
Epoch: [47][4580/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0498 (2.0235)	Prec@1 43.500 (47.773)	Prec@5 78.000 (78.236)
Epoch: [47][4590/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.2268 (2.0236)	Prec@1 41.500 (47.773)	Prec@5 77.000 (78.234)
Epoch: [47][4600/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 1.8344 (2.0237)	Prec@1 53.000 (47.772)	Prec@5 83.000 (78.234)
Epoch: [47][4610/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 2.1428 (2.0238)	Prec@1 45.000 (47.769)	Prec@5 73.500 (78.231)
Epoch: [47][4620/9018]	Time 0.715 (0.610)	Data 0.001 (0.001)	Loss 1.8693 (2.0237)	Prec@1 50.000 (47.772)	Prec@5 83.500 (78.234)
Epoch: [47][4630/9018]	Time 0.619 (0.610)	Data 0.001 (0.001)	Loss 1.9188 (2.0238)	Prec@1 49.500 (47.767)	Prec@5 79.500 (78.232)
Epoch: [47][4640/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0153 (2.0237)	Prec@1 43.000 (47.768)	Prec@5 78.500 (78.234)
Epoch: [47][4650/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0430 (2.0237)	Prec@1 50.000 (47.766)	Prec@5 74.500 (78.235)
Epoch: [47][4660/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9829 (2.0238)	Prec@1 45.500 (47.765)	Prec@5 78.000 (78.233)
Epoch: [47][4670/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0453 (2.0238)	Prec@1 47.500 (47.765)	Prec@5 79.000 (78.235)
Epoch: [47][4680/9018]	Time 0.612 (0.610)	Data 0.001 (0.001)	Loss 1.8925 (2.0238)	Prec@1 46.000 (47.762)	Prec@5 83.500 (78.235)
Epoch: [47][4690/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.8590 (2.0238)	Prec@1 50.000 (47.760)	Prec@5 79.000 (78.230)
Epoch: [47][4700/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0336 (2.0238)	Prec@1 46.000 (47.761)	Prec@5 78.000 (78.229)
Epoch: [47][4710/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0200 (2.0239)	Prec@1 47.000 (47.757)	Prec@5 79.500 (78.228)
Epoch: [47][4720/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0246 (2.0239)	Prec@1 43.500 (47.756)	Prec@5 81.500 (78.228)
Epoch: [47][4730/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.1546 (2.0240)	Prec@1 43.000 (47.756)	Prec@5 76.500 (78.227)
Epoch: [47][4740/9018]	Time 0.615 (0.610)	Data 0.001 (0.001)	Loss 1.8115 (2.0239)	Prec@1 53.500 (47.757)	Prec@5 81.500 (78.226)
Epoch: [47][4750/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.0706 (2.0240)	Prec@1 47.500 (47.754)	Prec@5 76.000 (78.226)
Epoch: [47][4760/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.1573 (2.0241)	Prec@1 44.500 (47.752)	Prec@5 78.000 (78.224)
Epoch: [47][4770/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1070 (2.0241)	Prec@1 47.000 (47.754)	Prec@5 77.000 (78.226)
Epoch: [47][4780/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1265 (2.0242)	Prec@1 44.500 (47.749)	Prec@5 80.500 (78.225)
Epoch: [47][4790/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9266 (2.0241)	Prec@1 50.000 (47.755)	Prec@5 81.000 (78.225)
Epoch: [47][4800/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 1.9852 (2.0240)	Prec@1 47.000 (47.755)	Prec@5 77.500 (78.226)
Epoch: [47][4810/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.1245 (2.0241)	Prec@1 42.000 (47.751)	Prec@5 77.500 (78.224)
Epoch: [47][4820/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0217 (2.0242)	Prec@1 50.000 (47.749)	Prec@5 74.500 (78.223)
Epoch: [47][4830/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0898 (2.0243)	Prec@1 48.000 (47.746)	Prec@5 78.500 (78.226)
Epoch: [47][4840/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.8236 (2.0244)	Prec@1 54.500 (47.747)	Prec@5 83.000 (78.225)
Epoch: [47][4850/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.8487 (2.0243)	Prec@1 50.000 (47.746)	Prec@5 80.500 (78.225)
Epoch: [47][4860/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 2.1407 (2.0244)	Prec@1 46.000 (47.744)	Prec@5 74.000 (78.223)
Epoch: [47][4870/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.1127 (2.0244)	Prec@1 44.000 (47.741)	Prec@5 77.500 (78.223)
Epoch: [47][4880/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.8114 (2.0243)	Prec@1 59.000 (47.742)	Prec@5 80.000 (78.224)
Epoch: [47][4890/9018]	Time 0.589 (0.610)	Data 0.001 (0.001)	Loss 1.9210 (2.0242)	Prec@1 54.500 (47.745)	Prec@5 74.000 (78.225)
Epoch: [47][4900/9018]	Time 0.718 (0.610)	Data 0.001 (0.001)	Loss 2.1944 (2.0243)	Prec@1 48.500 (47.745)	Prec@5 75.500 (78.223)
Epoch: [47][4910/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0496 (2.0244)	Prec@1 49.000 (47.742)	Prec@5 79.500 (78.223)
Epoch: [47][4920/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9857 (2.0244)	Prec@1 45.000 (47.739)	Prec@5 79.500 (78.221)
Epoch: [47][4930/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9826 (2.0244)	Prec@1 48.500 (47.736)	Prec@5 78.500 (78.221)
Epoch: [47][4940/9018]	Time 0.623 (0.610)	Data 0.001 (0.001)	Loss 1.8840 (2.0245)	Prec@1 49.500 (47.736)	Prec@5 78.500 (78.219)
Epoch: [47][4950/9018]	Time 0.714 (0.610)	Data 0.001 (0.001)	Loss 2.0756 (2.0246)	Prec@1 46.000 (47.735)	Prec@5 79.500 (78.217)
Epoch: [47][4960/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.9207 (2.0247)	Prec@1 52.500 (47.732)	Prec@5 78.500 (78.216)
Epoch: [47][4970/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1357 (2.0247)	Prec@1 45.000 (47.733)	Prec@5 76.500 (78.215)
Epoch: [47][4980/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 2.0270 (2.0249)	Prec@1 47.500 (47.733)	Prec@5 76.000 (78.211)
Epoch: [47][4990/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.8925 (2.0249)	Prec@1 52.500 (47.732)	Prec@5 79.000 (78.212)
Epoch: [47][5000/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.1351 (2.0248)	Prec@1 49.000 (47.735)	Prec@5 75.500 (78.214)
Epoch: [47][5010/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 2.0350 (2.0248)	Prec@1 46.000 (47.734)	Prec@5 76.500 (78.210)
Epoch: [47][5020/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 1.9267 (2.0249)	Prec@1 52.500 (47.732)	Prec@5 77.000 (78.208)
Epoch: [47][5030/9018]	Time 0.628 (0.610)	Data 0.001 (0.001)	Loss 2.0939 (2.0250)	Prec@1 47.500 (47.731)	Prec@5 76.000 (78.209)
Epoch: [47][5040/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9908 (2.0250)	Prec@1 49.000 (47.732)	Prec@5 79.000 (78.206)
Epoch: [47][5050/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1257 (2.0251)	Prec@1 45.500 (47.730)	Prec@5 77.000 (78.205)
Epoch: [47][5060/9018]	Time 0.620 (0.610)	Data 0.001 (0.001)	Loss 1.9002 (2.0251)	Prec@1 49.000 (47.729)	Prec@5 79.500 (78.206)
Epoch: [47][5070/9018]	Time 0.590 (0.610)	Data 0.001 (0.001)	Loss 2.0085 (2.0252)	Prec@1 48.500 (47.728)	Prec@5 76.500 (78.204)
Epoch: [47][5080/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.8014 (2.0251)	Prec@1 51.500 (47.728)	Prec@5 83.000 (78.207)
Epoch: [47][5090/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.0766 (2.0250)	Prec@1 46.000 (47.729)	Prec@5 76.000 (78.210)
Epoch: [47][5100/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9286 (2.0249)	Prec@1 47.500 (47.731)	Prec@5 79.500 (78.209)
Epoch: [47][5110/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1456 (2.0250)	Prec@1 43.500 (47.729)	Prec@5 79.000 (78.207)
Epoch: [47][5120/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.9466 (2.0248)	Prec@1 52.000 (47.732)	Prec@5 77.500 (78.211)
Epoch: [47][5130/9018]	Time 0.607 (0.610)	Data 0.001 (0.001)	Loss 1.8723 (2.0249)	Prec@1 48.000 (47.731)	Prec@5 82.000 (78.211)
Epoch: [47][5140/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1972 (2.0249)	Prec@1 47.000 (47.733)	Prec@5 74.000 (78.212)
Epoch: [47][5150/9018]	Time 0.614 (0.610)	Data 0.001 (0.001)	Loss 2.0766 (2.0249)	Prec@1 43.500 (47.731)	Prec@5 77.500 (78.212)
Epoch: [47][5160/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0585 (2.0250)	Prec@1 48.500 (47.729)	Prec@5 76.000 (78.211)
Epoch: [47][5170/9018]	Time 0.627 (0.610)	Data 0.001 (0.001)	Loss 2.0399 (2.0251)	Prec@1 51.000 (47.729)	Prec@5 77.000 (78.210)
Epoch: [47][5180/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.9990 (2.0252)	Prec@1 44.500 (47.723)	Prec@5 83.500 (78.208)
Epoch: [47][5190/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0992 (2.0251)	Prec@1 45.000 (47.725)	Prec@5 76.000 (78.209)
Epoch: [47][5200/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.0277 (2.0252)	Prec@1 49.500 (47.724)	Prec@5 76.500 (78.208)
Epoch: [47][5210/9018]	Time 0.623 (0.610)	Data 0.001 (0.001)	Loss 2.1016 (2.0252)	Prec@1 49.500 (47.725)	Prec@5 75.000 (78.208)
Epoch: [47][5220/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0945 (2.0252)	Prec@1 44.000 (47.721)	Prec@5 76.000 (78.206)
Epoch: [47][5230/9018]	Time 0.735 (0.610)	Data 0.001 (0.001)	Loss 2.0941 (2.0252)	Prec@1 46.000 (47.722)	Prec@5 79.000 (78.206)
Epoch: [47][5240/9018]	Time 0.626 (0.610)	Data 0.001 (0.001)	Loss 2.0203 (2.0251)	Prec@1 51.000 (47.724)	Prec@5 78.000 (78.208)
Epoch: [47][5250/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 2.0125 (2.0252)	Prec@1 52.500 (47.722)	Prec@5 78.000 (78.209)
Epoch: [47][5260/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 2.1955 (2.0252)	Prec@1 38.000 (47.721)	Prec@5 72.500 (78.208)
Epoch: [47][5270/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.2064 (2.0252)	Prec@1 44.000 (47.722)	Prec@5 72.000 (78.207)
Epoch: [47][5280/9018]	Time 0.717 (0.610)	Data 0.001 (0.001)	Loss 2.1660 (2.0251)	Prec@1 43.500 (47.726)	Prec@5 77.500 (78.209)
Epoch: [47][5290/9018]	Time 0.615 (0.610)	Data 0.001 (0.001)	Loss 2.0725 (2.0251)	Prec@1 47.500 (47.724)	Prec@5 78.500 (78.209)
Epoch: [47][5300/9018]	Time 0.609 (0.610)	Data 0.001 (0.001)	Loss 1.9204 (2.0251)	Prec@1 47.500 (47.723)	Prec@5 80.500 (78.211)
Epoch: [47][5310/9018]	Time 0.637 (0.610)	Data 0.001 (0.001)	Loss 2.2000 (2.0251)	Prec@1 41.000 (47.724)	Prec@5 75.500 (78.213)
Epoch: [47][5320/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1649 (2.0250)	Prec@1 41.000 (47.721)	Prec@5 71.500 (78.212)
Epoch: [47][5330/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0802 (2.0250)	Prec@1 43.000 (47.721)	Prec@5 81.000 (78.213)
Epoch: [47][5340/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.8827 (2.0250)	Prec@1 54.500 (47.722)	Prec@5 80.000 (78.214)
Epoch: [47][5350/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 2.0420 (2.0250)	Prec@1 50.500 (47.723)	Prec@5 78.000 (78.213)
Epoch: [47][5360/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1725 (2.0250)	Prec@1 48.000 (47.724)	Prec@5 74.000 (78.211)
Epoch: [47][5370/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.2874 (2.0251)	Prec@1 43.000 (47.722)	Prec@5 75.000 (78.211)
Epoch: [47][5380/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 1.8847 (2.0252)	Prec@1 53.500 (47.720)	Prec@5 79.500 (78.210)
Epoch: [47][5390/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9540 (2.0252)	Prec@1 49.000 (47.721)	Prec@5 83.000 (78.211)
Epoch: [47][5400/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 2.2418 (2.0252)	Prec@1 41.500 (47.720)	Prec@5 74.000 (78.210)
Epoch: [47][5410/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 2.1056 (2.0252)	Prec@1 46.000 (47.720)	Prec@5 76.000 (78.211)
Epoch: [47][5420/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 2.1120 (2.0254)	Prec@1 47.500 (47.719)	Prec@5 79.000 (78.208)
Epoch: [47][5430/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 2.3126 (2.0256)	Prec@1 39.500 (47.712)	Prec@5 73.500 (78.205)
Epoch: [47][5440/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 1.9547 (2.0255)	Prec@1 52.000 (47.713)	Prec@5 79.000 (78.207)
Epoch: [47][5450/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.9602 (2.0255)	Prec@1 47.500 (47.715)	Prec@5 76.500 (78.206)
Epoch: [47][5460/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1323 (2.0255)	Prec@1 51.000 (47.715)	Prec@5 75.500 (78.206)
Epoch: [47][5470/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0079 (2.0255)	Prec@1 49.500 (47.717)	Prec@5 79.000 (78.205)
Epoch: [47][5480/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0283 (2.0255)	Prec@1 45.500 (47.715)	Prec@5 75.000 (78.203)
Epoch: [47][5490/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 2.2586 (2.0256)	Prec@1 43.500 (47.713)	Prec@5 74.000 (78.203)
Epoch: [47][5500/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1574 (2.0256)	Prec@1 45.500 (47.712)	Prec@5 75.000 (78.204)
Epoch: [47][5510/9018]	Time 0.617 (0.610)	Data 0.001 (0.001)	Loss 1.8833 (2.0256)	Prec@1 53.500 (47.714)	Prec@5 82.000 (78.206)
Epoch: [47][5520/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.3699 (2.0257)	Prec@1 41.000 (47.713)	Prec@5 70.000 (78.205)
Epoch: [47][5530/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.1514 (2.0257)	Prec@1 44.000 (47.712)	Prec@5 77.500 (78.203)
Epoch: [47][5540/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.8523 (2.0257)	Prec@1 49.000 (47.710)	Prec@5 83.500 (78.206)
Epoch: [47][5550/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.1247 (2.0258)	Prec@1 41.000 (47.709)	Prec@5 77.500 (78.203)
Epoch: [47][5560/9018]	Time 0.719 (0.610)	Data 0.001 (0.001)	Loss 2.0346 (2.0257)	Prec@1 47.000 (47.708)	Prec@5 76.000 (78.202)
Epoch: [47][5570/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 2.0705 (2.0258)	Prec@1 41.500 (47.705)	Prec@5 78.500 (78.202)
Epoch: [47][5580/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 2.1030 (2.0258)	Prec@1 45.500 (47.703)	Prec@5 78.000 (78.202)
Epoch: [47][5590/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.1242 (2.0259)	Prec@1 46.500 (47.704)	Prec@5 81.000 (78.199)
Epoch: [47][5600/9018]	Time 0.611 (0.610)	Data 0.001 (0.001)	Loss 2.0274 (2.0260)	Prec@1 48.500 (47.704)	Prec@5 77.000 (78.198)
Epoch: [47][5610/9018]	Time 0.716 (0.610)	Data 0.001 (0.001)	Loss 2.0187 (2.0259)	Prec@1 49.500 (47.705)	Prec@5 77.500 (78.200)
Epoch: [47][5620/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9116 (2.0258)	Prec@1 48.500 (47.709)	Prec@5 80.500 (78.204)
Epoch: [47][5630/9018]	Time 0.634 (0.610)	Data 0.001 (0.001)	Loss 1.9407 (2.0257)	Prec@1 52.000 (47.711)	Prec@5 76.500 (78.204)
Epoch: [47][5640/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.1751 (2.0256)	Prec@1 46.000 (47.712)	Prec@5 76.500 (78.205)
Epoch: [47][5650/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.9288 (2.0255)	Prec@1 49.500 (47.714)	Prec@5 80.500 (78.209)
Epoch: [47][5660/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.8027 (2.0254)	Prec@1 54.000 (47.716)	Prec@5 81.000 (78.210)
Epoch: [47][5670/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.8990 (2.0253)	Prec@1 47.500 (47.717)	Prec@5 81.500 (78.211)
Epoch: [47][5680/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9708 (2.0253)	Prec@1 47.500 (47.718)	Prec@5 78.000 (78.211)
Epoch: [47][5690/9018]	Time 0.642 (0.610)	Data 0.001 (0.001)	Loss 1.9513 (2.0254)	Prec@1 49.500 (47.716)	Prec@5 76.500 (78.211)
Epoch: [47][5700/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0571 (2.0254)	Prec@1 45.000 (47.716)	Prec@5 77.500 (78.209)
Epoch: [47][5710/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.9205 (2.0254)	Prec@1 51.000 (47.718)	Prec@5 77.500 (78.208)
Epoch: [47][5720/9018]	Time 0.631 (0.610)	Data 0.001 (0.001)	Loss 2.1815 (2.0254)	Prec@1 40.500 (47.716)	Prec@5 79.500 (78.209)
Epoch: [47][5730/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.2355 (2.0255)	Prec@1 47.000 (47.715)	Prec@5 75.500 (78.207)
Epoch: [47][5740/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 1.8925 (2.0255)	Prec@1 50.000 (47.716)	Prec@5 81.500 (78.205)
Epoch: [47][5750/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 2.2362 (2.0255)	Prec@1 41.000 (47.715)	Prec@5 73.500 (78.206)
Epoch: [47][5760/9018]	Time 0.632 (0.610)	Data 0.001 (0.001)	Loss 2.0410 (2.0255)	Prec@1 51.500 (47.714)	Prec@5 75.000 (78.205)
Epoch: [47][5770/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.9751 (2.0256)	Prec@1 47.000 (47.711)	Prec@5 76.500 (78.204)
Epoch: [47][5780/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 2.1494 (2.0256)	Prec@1 50.500 (47.712)	Prec@5 77.500 (78.203)
Epoch: [47][5790/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9522 (2.0256)	Prec@1 49.500 (47.712)	Prec@5 80.000 (78.202)
Epoch: [47][5800/9018]	Time 0.609 (0.610)	Data 0.001 (0.001)	Loss 2.0821 (2.0257)	Prec@1 47.500 (47.708)	Prec@5 78.000 (78.198)
Epoch: [47][5810/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 2.0860 (2.0256)	Prec@1 49.000 (47.711)	Prec@5 73.500 (78.199)
Epoch: [47][5820/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 2.0121 (2.0257)	Prec@1 52.000 (47.710)	Prec@5 78.500 (78.197)
Epoch: [47][5830/9018]	Time 0.630 (0.610)	Data 0.001 (0.001)	Loss 2.0132 (2.0258)	Prec@1 56.000 (47.710)	Prec@5 77.000 (78.195)
Epoch: [47][5840/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.9931 (2.0258)	Prec@1 47.000 (47.712)	Prec@5 79.000 (78.196)
Epoch: [47][5850/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.8630 (2.0260)	Prec@1 51.500 (47.709)	Prec@5 80.500 (78.194)
Epoch: [47][5860/9018]	Time 0.614 (0.610)	Data 0.001 (0.001)	Loss 2.3671 (2.0261)	Prec@1 39.500 (47.706)	Prec@5 75.000 (78.193)
Epoch: [47][5870/9018]	Time 0.620 (0.610)	Data 0.001 (0.001)	Loss 2.1036 (2.0261)	Prec@1 46.000 (47.707)	Prec@5 76.500 (78.190)
Epoch: [47][5880/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 1.8314 (2.0262)	Prec@1 50.000 (47.705)	Prec@5 85.500 (78.192)
Epoch: [47][5890/9018]	Time 0.733 (0.610)	Data 0.001 (0.001)	Loss 2.0747 (2.0261)	Prec@1 48.500 (47.707)	Prec@5 77.500 (78.192)
Epoch: [47][5900/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.9306 (2.0262)	Prec@1 51.500 (47.705)	Prec@5 80.500 (78.190)
Epoch: [47][5910/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.8126 (2.0261)	Prec@1 53.000 (47.706)	Prec@5 81.500 (78.191)
Epoch: [47][5920/9018]	Time 0.614 (0.610)	Data 0.001 (0.001)	Loss 2.1979 (2.0261)	Prec@1 47.500 (47.707)	Prec@5 72.000 (78.190)
Epoch: [47][5930/9018]	Time 0.611 (0.610)	Data 0.001 (0.001)	Loss 2.2625 (2.0261)	Prec@1 41.500 (47.707)	Prec@5 73.000 (78.190)
Epoch: [47][5940/9018]	Time 0.720 (0.610)	Data 0.001 (0.001)	Loss 2.1011 (2.0262)	Prec@1 47.000 (47.706)	Prec@5 79.000 (78.189)
Epoch: [47][5950/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.9641 (2.0261)	Prec@1 47.500 (47.707)	Prec@5 81.500 (78.190)
Epoch: [47][5960/9018]	Time 0.633 (0.611)	Data 0.001 (0.001)	Loss 2.0163 (2.0262)	Prec@1 45.000 (47.706)	Prec@5 80.500 (78.189)
Epoch: [47][5970/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 1.9326 (2.0261)	Prec@1 46.000 (47.707)	Prec@5 83.500 (78.190)
Epoch: [47][5980/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 2.0507 (2.0260)	Prec@1 47.000 (47.705)	Prec@5 78.000 (78.192)
Epoch: [47][5990/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.8352 (2.0260)	Prec@1 56.000 (47.706)	Prec@5 81.000 (78.192)
Epoch: [47][6000/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.9923 (2.0260)	Prec@1 50.500 (47.707)	Prec@5 81.500 (78.194)
Epoch: [47][6010/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0053 (2.0260)	Prec@1 46.500 (47.708)	Prec@5 77.000 (78.193)
Epoch: [47][6020/9018]	Time 0.628 (0.611)	Data 0.001 (0.001)	Loss 1.8237 (2.0259)	Prec@1 53.000 (47.709)	Prec@5 80.000 (78.195)
Epoch: [47][6030/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.9612 (2.0259)	Prec@1 45.500 (47.708)	Prec@5 79.000 (78.195)
Epoch: [47][6040/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 2.0622 (2.0259)	Prec@1 46.500 (47.708)	Prec@5 76.500 (78.195)
Epoch: [47][6050/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 1.9623 (2.0261)	Prec@1 49.500 (47.706)	Prec@5 77.500 (78.193)
Epoch: [47][6060/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9984 (2.0261)	Prec@1 48.500 (47.707)	Prec@5 77.000 (78.192)
Epoch: [47][6070/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 1.9205 (2.0261)	Prec@1 51.000 (47.707)	Prec@5 77.000 (78.190)
Epoch: [47][6080/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.1292 (2.0262)	Prec@1 49.500 (47.707)	Prec@5 76.000 (78.188)
Epoch: [47][6090/9018]	Time 0.635 (0.611)	Data 0.001 (0.001)	Loss 2.0326 (2.0263)	Prec@1 51.500 (47.708)	Prec@5 76.500 (78.184)
Epoch: [47][6100/9018]	Time 0.632 (0.611)	Data 0.001 (0.001)	Loss 2.0932 (2.0263)	Prec@1 50.000 (47.708)	Prec@5 77.000 (78.185)
Epoch: [47][6110/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.1470 (2.0265)	Prec@1 45.000 (47.704)	Prec@5 73.500 (78.183)
Epoch: [47][6120/9018]	Time 0.590 (0.611)	Data 0.001 (0.001)	Loss 2.1801 (2.0265)	Prec@1 44.500 (47.703)	Prec@5 74.000 (78.182)
Epoch: [47][6130/9018]	Time 0.626 (0.611)	Data 0.001 (0.001)	Loss 1.9624 (2.0264)	Prec@1 51.000 (47.707)	Prec@5 79.500 (78.183)
Epoch: [47][6140/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.0428 (2.0265)	Prec@1 43.000 (47.705)	Prec@5 80.500 (78.183)
Epoch: [47][6150/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1061 (2.0265)	Prec@1 44.000 (47.706)	Prec@5 78.500 (78.183)
Epoch: [47][6160/9018]	Time 0.620 (0.611)	Data 0.001 (0.001)	Loss 2.0017 (2.0266)	Prec@1 47.000 (47.703)	Prec@5 80.000 (78.183)
Epoch: [47][6170/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.2173 (2.0267)	Prec@1 44.000 (47.702)	Prec@5 75.500 (78.181)
Epoch: [47][6180/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.9613 (2.0267)	Prec@1 47.000 (47.704)	Prec@5 78.000 (78.180)
Epoch: [47][6190/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.1972 (2.0267)	Prec@1 42.500 (47.703)	Prec@5 75.500 (78.178)
Epoch: [47][6200/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9002 (2.0266)	Prec@1 52.000 (47.703)	Prec@5 78.000 (78.178)
Epoch: [47][6210/9018]	Time 0.626 (0.611)	Data 0.001 (0.001)	Loss 1.9327 (2.0267)	Prec@1 49.000 (47.700)	Prec@5 79.500 (78.176)
Epoch: [47][6220/9018]	Time 0.755 (0.611)	Data 0.001 (0.001)	Loss 2.0196 (2.0267)	Prec@1 49.000 (47.702)	Prec@5 79.500 (78.175)
Epoch: [47][6230/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.0759 (2.0267)	Prec@1 43.500 (47.704)	Prec@5 79.000 (78.176)
Epoch: [47][6240/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 2.1461 (2.0267)	Prec@1 47.500 (47.705)	Prec@5 73.000 (78.176)
Epoch: [47][6250/9018]	Time 0.639 (0.611)	Data 0.001 (0.001)	Loss 1.9470 (2.0266)	Prec@1 46.500 (47.705)	Prec@5 81.000 (78.178)
Epoch: [47][6260/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 1.8691 (2.0266)	Prec@1 48.000 (47.703)	Prec@5 80.500 (78.178)
Epoch: [47][6270/9018]	Time 0.745 (0.611)	Data 0.001 (0.001)	Loss 2.0121 (2.0265)	Prec@1 43.500 (47.700)	Prec@5 81.000 (78.179)
Epoch: [47][6280/9018]	Time 0.614 (0.611)	Data 0.001 (0.001)	Loss 2.0203 (2.0266)	Prec@1 45.500 (47.698)	Prec@5 82.500 (78.178)
Epoch: [47][6290/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.0096 (2.0266)	Prec@1 47.000 (47.697)	Prec@5 80.500 (78.178)
Epoch: [47][6300/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.2940 (2.0267)	Prec@1 45.500 (47.694)	Prec@5 73.500 (78.176)
Epoch: [47][6310/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 1.8639 (2.0267)	Prec@1 50.000 (47.696)	Prec@5 80.000 (78.177)
Epoch: [47][6320/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.1019 (2.0267)	Prec@1 45.500 (47.695)	Prec@5 75.500 (78.176)
Epoch: [47][6330/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0522 (2.0267)	Prec@1 46.500 (47.693)	Prec@5 76.000 (78.177)
Epoch: [47][6340/9018]	Time 0.632 (0.611)	Data 0.001 (0.001)	Loss 2.1303 (2.0267)	Prec@1 46.000 (47.692)	Prec@5 74.500 (78.177)
Epoch: [47][6350/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 2.0023 (2.0267)	Prec@1 49.000 (47.690)	Prec@5 77.500 (78.177)
Epoch: [47][6360/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 1.9917 (2.0267)	Prec@1 49.000 (47.694)	Prec@5 78.000 (78.176)
Epoch: [47][6370/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.1607 (2.0267)	Prec@1 49.000 (47.697)	Prec@5 78.500 (78.176)
Epoch: [47][6380/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.2628 (2.0266)	Prec@1 44.500 (47.699)	Prec@5 72.500 (78.177)
Epoch: [47][6390/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.1184 (2.0269)	Prec@1 47.500 (47.695)	Prec@5 75.500 (78.171)
Epoch: [47][6400/9018]	Time 0.624 (0.611)	Data 0.001 (0.001)	Loss 1.8842 (2.0269)	Prec@1 46.000 (47.693)	Prec@5 80.000 (78.170)
Epoch: [47][6410/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.8734 (2.0268)	Prec@1 53.000 (47.698)	Prec@5 80.000 (78.173)
Epoch: [47][6420/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.0175 (2.0268)	Prec@1 48.500 (47.698)	Prec@5 78.000 (78.173)
Epoch: [47][6430/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9094 (2.0268)	Prec@1 46.500 (47.699)	Prec@5 79.500 (78.174)
Epoch: [47][6440/9018]	Time 0.615 (0.611)	Data 0.001 (0.001)	Loss 2.0858 (2.0267)	Prec@1 44.500 (47.699)	Prec@5 79.000 (78.175)
Epoch: [47][6450/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 2.1708 (2.0268)	Prec@1 44.500 (47.696)	Prec@5 76.500 (78.173)
Epoch: [47][6460/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.8377 (2.0268)	Prec@1 56.500 (47.697)	Prec@5 80.500 (78.173)
Epoch: [47][6470/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.1395 (2.0267)	Prec@1 46.500 (47.699)	Prec@5 75.000 (78.173)
Epoch: [47][6480/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.8539 (2.0266)	Prec@1 51.500 (47.703)	Prec@5 81.000 (78.176)
Epoch: [47][6490/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 1.9756 (2.0265)	Prec@1 45.000 (47.703)	Prec@5 78.000 (78.178)
Epoch: [47][6500/9018]	Time 0.765 (0.611)	Data 0.001 (0.001)	Loss 2.0031 (2.0265)	Prec@1 47.500 (47.705)	Prec@5 76.500 (78.178)
Epoch: [47][6510/9018]	Time 0.617 (0.611)	Data 0.001 (0.001)	Loss 2.0313 (2.0264)	Prec@1 50.000 (47.705)	Prec@5 75.500 (78.179)
Epoch: [47][6520/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 2.0057 (2.0264)	Prec@1 43.500 (47.703)	Prec@5 79.000 (78.179)
Epoch: [47][6530/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 2.1645 (2.0264)	Prec@1 45.000 (47.703)	Prec@5 73.500 (78.179)
Epoch: [47][6540/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 1.8729 (2.0263)	Prec@1 48.500 (47.704)	Prec@5 78.500 (78.182)
Epoch: [47][6550/9018]	Time 0.726 (0.611)	Data 0.001 (0.001)	Loss 1.7525 (2.0264)	Prec@1 51.500 (47.700)	Prec@5 83.000 (78.182)
Epoch: [47][6560/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.2577 (2.0264)	Prec@1 42.000 (47.698)	Prec@5 76.500 (78.180)
Epoch: [47][6570/9018]	Time 0.612 (0.611)	Data 0.001 (0.001)	Loss 2.1781 (2.0265)	Prec@1 46.000 (47.699)	Prec@5 75.000 (78.181)
Epoch: [47][6580/9018]	Time 0.630 (0.611)	Data 0.001 (0.001)	Loss 2.1251 (2.0266)	Prec@1 50.000 (47.698)	Prec@5 77.500 (78.178)
Epoch: [47][6590/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 1.9932 (2.0266)	Prec@1 47.000 (47.698)	Prec@5 77.000 (78.179)
Epoch: [47][6600/9018]	Time 0.621 (0.611)	Data 0.001 (0.001)	Loss 2.0729 (2.0267)	Prec@1 47.000 (47.694)	Prec@5 75.500 (78.175)
Epoch: [47][6610/9018]	Time 0.618 (0.611)	Data 0.001 (0.001)	Loss 2.1725 (2.0268)	Prec@1 45.500 (47.692)	Prec@5 76.500 (78.175)
Epoch: [47][6620/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.1119 (2.0268)	Prec@1 45.000 (47.692)	Prec@5 77.000 (78.176)
Epoch: [47][6630/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 2.0885 (2.0268)	Prec@1 49.000 (47.693)	Prec@5 78.000 (78.176)
Epoch: [47][6640/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.1935 (2.0268)	Prec@1 40.000 (47.692)	Prec@5 79.000 (78.177)
Epoch: [47][6650/9018]	Time 0.634 (0.611)	Data 0.001 (0.001)	Loss 2.2049 (2.0269)	Prec@1 44.000 (47.688)	Prec@5 74.500 (78.174)
Epoch: [47][6660/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.0867 (2.0269)	Prec@1 44.000 (47.688)	Prec@5 80.000 (78.174)
Epoch: [47][6670/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.0854 (2.0269)	Prec@1 47.000 (47.687)	Prec@5 77.000 (78.174)
Epoch: [47][6680/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.2670 (2.0270)	Prec@1 45.000 (47.686)	Prec@5 74.000 (78.173)
Epoch: [47][6690/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.2263 (2.0270)	Prec@1 39.500 (47.685)	Prec@5 74.500 (78.173)
Epoch: [47][6700/9018]	Time 0.628 (0.611)	Data 0.001 (0.001)	Loss 1.8893 (2.0269)	Prec@1 52.500 (47.688)	Prec@5 83.500 (78.175)
Epoch: [47][6710/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.9588 (2.0269)	Prec@1 49.000 (47.688)	Prec@5 78.500 (78.175)
Epoch: [47][6720/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.1256 (2.0269)	Prec@1 46.000 (47.688)	Prec@5 76.500 (78.174)
Epoch: [47][6730/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.2448 (2.0270)	Prec@1 44.500 (47.687)	Prec@5 73.000 (78.171)
Epoch: [47][6740/9018]	Time 0.631 (0.611)	Data 0.001 (0.001)	Loss 2.0244 (2.0270)	Prec@1 50.000 (47.688)	Prec@5 78.000 (78.172)
Epoch: [47][6750/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 1.9743 (2.0270)	Prec@1 48.000 (47.689)	Prec@5 77.000 (78.171)
Epoch: [47][6760/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.8513 (2.0270)	Prec@1 54.500 (47.688)	Prec@5 78.000 (78.170)
Epoch: [47][6770/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.1577 (2.0270)	Prec@1 46.500 (47.688)	Prec@5 77.000 (78.171)
Epoch: [47][6780/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.0799 (2.0270)	Prec@1 49.000 (47.690)	Prec@5 76.000 (78.172)
Epoch: [47][6790/9018]	Time 0.634 (0.611)	Data 0.001 (0.001)	Loss 1.9856 (2.0270)	Prec@1 47.500 (47.687)	Prec@5 81.500 (78.171)
Epoch: [47][6800/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.8548 (2.0270)	Prec@1 52.000 (47.689)	Prec@5 79.500 (78.171)
Epoch: [47][6810/9018]	Time 0.620 (0.611)	Data 0.001 (0.001)	Loss 1.9532 (2.0271)	Prec@1 51.500 (47.687)	Prec@5 78.000 (78.169)
Epoch: [47][6820/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.9651 (2.0271)	Prec@1 49.000 (47.686)	Prec@5 80.000 (78.170)
Epoch: [47][6830/9018]	Time 0.752 (0.611)	Data 0.001 (0.001)	Loss 2.2369 (2.0271)	Prec@1 44.500 (47.686)	Prec@5 73.500 (78.171)
Epoch: [47][6840/9018]	Time 0.628 (0.611)	Data 0.001 (0.001)	Loss 1.9374 (2.0271)	Prec@1 52.500 (47.687)	Prec@5 80.500 (78.170)
Epoch: [47][6850/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 2.2666 (2.0272)	Prec@1 43.500 (47.687)	Prec@5 73.500 (78.168)
Epoch: [47][6860/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 2.0751 (2.0272)	Prec@1 43.000 (47.687)	Prec@5 76.000 (78.168)
Epoch: [47][6870/9018]	Time 0.610 (0.611)	Data 0.001 (0.001)	Loss 2.0170 (2.0272)	Prec@1 46.500 (47.687)	Prec@5 79.500 (78.168)
Epoch: [47][6880/9018]	Time 0.732 (0.611)	Data 0.001 (0.001)	Loss 1.8884 (2.0273)	Prec@1 54.500 (47.687)	Prec@5 79.500 (78.164)
Epoch: [47][6890/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 2.0944 (2.0273)	Prec@1 49.000 (47.689)	Prec@5 74.500 (78.165)
Epoch: [47][6900/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.9139 (2.0273)	Prec@1 47.500 (47.690)	Prec@5 83.000 (78.168)
Epoch: [47][6910/9018]	Time 0.629 (0.611)	Data 0.001 (0.001)	Loss 2.0519 (2.0272)	Prec@1 52.000 (47.689)	Prec@5 76.500 (78.169)
Epoch: [47][6920/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 2.1606 (2.0273)	Prec@1 40.500 (47.687)	Prec@5 79.000 (78.168)
Epoch: [47][6930/9018]	Time 0.631 (0.611)	Data 0.001 (0.001)	Loss 2.1215 (2.0274)	Prec@1 42.000 (47.685)	Prec@5 77.500 (78.168)
Epoch: [47][6940/9018]	Time 0.632 (0.611)	Data 0.001 (0.001)	Loss 2.0765 (2.0274)	Prec@1 43.500 (47.684)	Prec@5 79.000 (78.167)
Epoch: [47][6950/9018]	Time 0.616 (0.611)	Data 0.001 (0.001)	Loss 2.2165 (2.0276)	Prec@1 43.000 (47.680)	Prec@5 76.500 (78.166)
Epoch: [47][6960/9018]	Time 0.631 (0.611)	Data 0.001 (0.001)	Loss 1.9542 (2.0276)	Prec@1 48.000 (47.681)	Prec@5 78.500 (78.165)
Epoch: [47][6970/9018]	Time 0.635 (0.611)	Data 0.001 (0.001)	Loss 2.2056 (2.0276)	Prec@1 43.500 (47.680)	Prec@5 75.000 (78.166)
Epoch: [47][6980/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.0041 (2.0277)	Prec@1 46.000 (47.678)	Prec@5 79.500 (78.163)
Epoch: [47][6990/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 1.9926 (2.0278)	Prec@1 48.000 (47.676)	Prec@5 76.500 (78.161)
Epoch: [47][7000/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 2.1711 (2.0278)	Prec@1 42.000 (47.676)	Prec@5 74.000 (78.162)
Epoch: [47][7010/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.8395 (2.0277)	Prec@1 49.000 (47.677)	Prec@5 83.000 (78.165)
Epoch: [47][7020/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.0559 (2.0276)	Prec@1 46.000 (47.679)	Prec@5 79.000 (78.168)
Epoch: [47][7030/9018]	Time 0.612 (0.611)	Data 0.001 (0.001)	Loss 1.9024 (2.0276)	Prec@1 47.500 (47.679)	Prec@5 79.500 (78.167)
Epoch: [47][7040/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1227 (2.0276)	Prec@1 44.000 (47.679)	Prec@5 76.000 (78.168)
Epoch: [47][7050/9018]	Time 0.627 (0.611)	Data 0.001 (0.001)	Loss 2.1572 (2.0276)	Prec@1 41.000 (47.677)	Prec@5 76.000 (78.167)
Epoch: [47][7060/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.9524 (2.0277)	Prec@1 51.500 (47.676)	Prec@5 78.000 (78.166)
Epoch: [47][7070/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 2.0843 (2.0277)	Prec@1 49.500 (47.676)	Prec@5 77.000 (78.166)
Epoch: [47][7080/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.0723 (2.0277)	Prec@1 45.000 (47.674)	Prec@5 79.000 (78.167)
Epoch: [47][7090/9018]	Time 0.633 (0.611)	Data 0.001 (0.001)	Loss 2.2323 (2.0277)	Prec@1 42.000 (47.673)	Prec@5 75.500 (78.165)
Epoch: [47][7100/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1609 (2.0278)	Prec@1 44.500 (47.670)	Prec@5 75.000 (78.165)
Epoch: [47][7110/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 2.3222 (2.0278)	Prec@1 42.500 (47.670)	Prec@5 74.000 (78.167)
Epoch: [47][7120/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.8534 (2.0279)	Prec@1 54.000 (47.669)	Prec@5 80.500 (78.167)
Epoch: [47][7130/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.1677 (2.0279)	Prec@1 44.500 (47.668)	Prec@5 76.000 (78.167)
Epoch: [47][7140/9018]	Time 0.632 (0.611)	Data 0.001 (0.001)	Loss 2.2153 (2.0280)	Prec@1 42.500 (47.666)	Prec@5 76.500 (78.166)
Epoch: [47][7150/9018]	Time 0.629 (0.611)	Data 0.001 (0.001)	Loss 2.1985 (2.0281)	Prec@1 47.500 (47.665)	Prec@5 76.000 (78.163)
Epoch: [47][7160/9018]	Time 0.750 (0.611)	Data 0.001 (0.001)	Loss 2.0079 (2.0282)	Prec@1 46.000 (47.663)	Prec@5 80.500 (78.163)
Epoch: [47][7170/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.8606 (2.0282)	Prec@1 52.000 (47.663)	Prec@5 83.000 (78.162)
Epoch: [47][7180/9018]	Time 0.628 (0.611)	Data 0.001 (0.001)	Loss 1.8609 (2.0282)	Prec@1 46.500 (47.664)	Prec@5 83.500 (78.162)
Epoch: [47][7190/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 2.0093 (2.0282)	Prec@1 47.500 (47.662)	Prec@5 77.000 (78.162)
Epoch: [47][7200/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.9244 (2.0282)	Prec@1 44.500 (47.662)	Prec@5 79.500 (78.164)
Epoch: [47][7210/9018]	Time 0.726 (0.611)	Data 0.001 (0.001)	Loss 2.0113 (2.0282)	Prec@1 48.500 (47.660)	Prec@5 77.000 (78.165)
Epoch: [47][7220/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0218 (2.0281)	Prec@1 48.000 (47.661)	Prec@5 77.500 (78.166)
Epoch: [47][7230/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.1615 (2.0281)	Prec@1 42.500 (47.661)	Prec@5 77.500 (78.167)
Epoch: [47][7240/9018]	Time 0.636 (0.611)	Data 0.001 (0.001)	Loss 1.9999 (2.0281)	Prec@1 50.500 (47.660)	Prec@5 79.500 (78.168)
Epoch: [47][7250/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.0983 (2.0281)	Prec@1 52.000 (47.660)	Prec@5 74.500 (78.168)
Epoch: [47][7260/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.9996 (2.0281)	Prec@1 49.000 (47.660)	Prec@5 79.500 (78.169)
Epoch: [47][7270/9018]	Time 0.621 (0.611)	Data 0.001 (0.001)	Loss 2.0342 (2.0280)	Prec@1 46.000 (47.660)	Prec@5 78.500 (78.171)
Epoch: [47][7280/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 1.9359 (2.0281)	Prec@1 51.500 (47.657)	Prec@5 78.000 (78.172)
Epoch: [47][7290/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.9204 (2.0281)	Prec@1 50.500 (47.656)	Prec@5 79.500 (78.170)
Epoch: [47][7300/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 2.0643 (2.0280)	Prec@1 45.000 (47.657)	Prec@5 76.500 (78.171)
Epoch: [47][7310/9018]	Time 0.645 (0.611)	Data 0.001 (0.001)	Loss 1.9524 (2.0280)	Prec@1 46.500 (47.656)	Prec@5 79.500 (78.170)
Epoch: [47][7320/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 2.1152 (2.0280)	Prec@1 48.500 (47.659)	Prec@5 74.000 (78.170)
Epoch: [47][7330/9018]	Time 0.588 (0.611)	Data 0.001 (0.001)	Loss 1.8263 (2.0280)	Prec@1 53.000 (47.657)	Prec@5 82.000 (78.170)
Epoch: [47][7340/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.1743 (2.0280)	Prec@1 46.500 (47.657)	Prec@5 77.000 (78.170)
Epoch: [47][7350/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 1.9414 (2.0281)	Prec@1 48.000 (47.657)	Prec@5 80.500 (78.168)
Epoch: [47][7360/9018]	Time 0.634 (0.611)	Data 0.001 (0.001)	Loss 1.9525 (2.0280)	Prec@1 49.500 (47.658)	Prec@5 82.000 (78.168)
Epoch: [47][7370/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 1.9791 (2.0281)	Prec@1 43.500 (47.653)	Prec@5 83.000 (78.169)
Epoch: [47][7380/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 2.1072 (2.0280)	Prec@1 44.000 (47.653)	Prec@5 78.000 (78.170)
Epoch: [47][7390/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 1.9321 (2.0280)	Prec@1 52.000 (47.654)	Prec@5 79.000 (78.169)
Epoch: [47][7400/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 2.0714 (2.0280)	Prec@1 47.000 (47.654)	Prec@5 77.000 (78.169)
Epoch: [47][7410/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 2.1471 (2.0279)	Prec@1 42.500 (47.656)	Prec@5 75.000 (78.171)
Epoch: [47][7420/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 2.3201 (2.0280)	Prec@1 42.500 (47.655)	Prec@5 74.500 (78.171)
Epoch: [47][7430/9018]	Time 0.630 (0.612)	Data 0.001 (0.001)	Loss 2.1501 (2.0281)	Prec@1 44.500 (47.652)	Prec@5 75.000 (78.169)
Epoch: [47][7440/9018]	Time 0.633 (0.612)	Data 0.001 (0.001)	Loss 1.9979 (2.0282)	Prec@1 51.500 (47.650)	Prec@5 79.000 (78.166)
Epoch: [47][7450/9018]	Time 0.631 (0.612)	Data 0.001 (0.001)	Loss 1.9282 (2.0282)	Prec@1 50.000 (47.650)	Prec@5 80.500 (78.167)
Epoch: [47][7460/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.9971 (2.0283)	Prec@1 48.500 (47.648)	Prec@5 76.500 (78.166)
Epoch: [47][7470/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 1.8957 (2.0282)	Prec@1 55.000 (47.653)	Prec@5 82.000 (78.166)
Epoch: [47][7480/9018]	Time 0.590 (0.612)	Data 0.001 (0.001)	Loss 2.0397 (2.0282)	Prec@1 48.000 (47.654)	Prec@5 76.000 (78.167)
Epoch: [47][7490/9018]	Time 0.762 (0.612)	Data 0.001 (0.001)	Loss 2.2189 (2.0282)	Prec@1 45.000 (47.652)	Prec@5 76.500 (78.167)
Epoch: [47][7500/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.2887 (2.0282)	Prec@1 42.500 (47.652)	Prec@5 73.000 (78.166)
Epoch: [47][7510/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.9574 (2.0282)	Prec@1 50.000 (47.653)	Prec@5 78.500 (78.166)
Epoch: [47][7520/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 1.9926 (2.0283)	Prec@1 48.500 (47.653)	Prec@5 82.500 (78.165)
Epoch: [47][7530/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 1.9452 (2.0283)	Prec@1 49.500 (47.652)	Prec@5 83.000 (78.166)
Epoch: [47][7540/9018]	Time 0.749 (0.612)	Data 0.001 (0.001)	Loss 2.0507 (2.0283)	Prec@1 49.500 (47.651)	Prec@5 76.500 (78.167)
Epoch: [47][7550/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.1416 (2.0283)	Prec@1 44.500 (47.650)	Prec@5 74.000 (78.168)
Epoch: [47][7560/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 2.0394 (2.0283)	Prec@1 44.000 (47.648)	Prec@5 80.000 (78.167)
Epoch: [47][7570/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 2.0854 (2.0284)	Prec@1 48.500 (47.648)	Prec@5 76.500 (78.165)
Epoch: [47][7580/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.1640 (2.0284)	Prec@1 46.000 (47.649)	Prec@5 75.000 (78.165)
Epoch: [47][7590/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 2.0941 (2.0284)	Prec@1 38.500 (47.645)	Prec@5 80.000 (78.163)
Epoch: [47][7600/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.0425 (2.0285)	Prec@1 50.000 (47.645)	Prec@5 75.500 (78.162)
Epoch: [47][7610/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 1.9051 (2.0285)	Prec@1 51.000 (47.644)	Prec@5 79.500 (78.162)
Epoch: [47][7620/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 2.3303 (2.0286)	Prec@1 36.500 (47.642)	Prec@5 71.500 (78.161)
Epoch: [47][7630/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 1.9339 (2.0286)	Prec@1 50.000 (47.642)	Prec@5 80.500 (78.160)
Epoch: [47][7640/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.9909 (2.0286)	Prec@1 47.500 (47.642)	Prec@5 81.500 (78.161)
Epoch: [47][7650/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 1.8658 (2.0285)	Prec@1 51.500 (47.643)	Prec@5 81.500 (78.162)
Epoch: [47][7660/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.3200 (2.0286)	Prec@1 42.500 (47.641)	Prec@5 73.000 (78.160)
Epoch: [47][7670/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.0150 (2.0287)	Prec@1 50.000 (47.640)	Prec@5 78.500 (78.159)
Epoch: [47][7680/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.9794 (2.0287)	Prec@1 51.000 (47.640)	Prec@5 78.000 (78.158)
Epoch: [47][7690/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 1.8911 (2.0287)	Prec@1 48.000 (47.641)	Prec@5 80.000 (78.158)
Epoch: [47][7700/9018]	Time 0.615 (0.612)	Data 0.001 (0.001)	Loss 1.8823 (2.0287)	Prec@1 51.500 (47.642)	Prec@5 80.500 (78.158)
Epoch: [47][7710/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.0729 (2.0287)	Prec@1 47.000 (47.642)	Prec@5 76.000 (78.158)
Epoch: [47][7720/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 1.9467 (2.0287)	Prec@1 49.000 (47.640)	Prec@5 79.000 (78.158)
Epoch: [47][7730/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.9100 (2.0288)	Prec@1 49.000 (47.639)	Prec@5 81.000 (78.157)
Epoch: [47][7740/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 1.9402 (2.0288)	Prec@1 53.500 (47.639)	Prec@5 79.500 (78.157)
Epoch: [47][7750/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.0277 (2.0289)	Prec@1 48.500 (47.637)	Prec@5 78.500 (78.153)
Epoch: [47][7760/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.0344 (2.0289)	Prec@1 46.500 (47.638)	Prec@5 79.500 (78.155)
Epoch: [47][7770/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.1005 (2.0289)	Prec@1 46.500 (47.638)	Prec@5 80.000 (78.155)
Epoch: [47][7780/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.0804 (2.0289)	Prec@1 44.000 (47.638)	Prec@5 79.000 (78.152)
Epoch: [47][7790/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.9297 (2.0289)	Prec@1 44.500 (47.637)	Prec@5 83.500 (78.154)
Epoch: [47][7800/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.0201 (2.0289)	Prec@1 46.000 (47.635)	Prec@5 79.500 (78.154)
Epoch: [47][7810/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.0127 (2.0289)	Prec@1 46.500 (47.635)	Prec@5 77.000 (78.153)
Epoch: [47][7820/9018]	Time 0.781 (0.612)	Data 0.001 (0.001)	Loss 1.9504 (2.0289)	Prec@1 48.500 (47.633)	Prec@5 75.000 (78.152)
Epoch: [47][7830/9018]	Time 0.635 (0.612)	Data 0.001 (0.001)	Loss 1.9278 (2.0289)	Prec@1 50.000 (47.632)	Prec@5 81.000 (78.152)
Epoch: [47][7840/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 2.2023 (2.0290)	Prec@1 45.500 (47.631)	Prec@5 75.000 (78.150)
Epoch: [47][7850/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 2.1123 (2.0290)	Prec@1 48.000 (47.632)	Prec@5 76.000 (78.150)
Epoch: [47][7860/9018]	Time 0.591 (0.612)	Data 0.001 (0.001)	Loss 2.2463 (2.0291)	Prec@1 45.500 (47.630)	Prec@5 75.500 (78.149)
Epoch: [47][7870/9018]	Time 0.741 (0.612)	Data 0.001 (0.001)	Loss 1.9069 (2.0291)	Prec@1 53.500 (47.630)	Prec@5 79.000 (78.151)
Epoch: [47][7880/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.0751 (2.0292)	Prec@1 47.500 (47.628)	Prec@5 75.000 (78.149)
Epoch: [47][7890/9018]	Time 0.637 (0.612)	Data 0.001 (0.001)	Loss 1.7927 (2.0291)	Prec@1 50.500 (47.627)	Prec@5 83.000 (78.150)
Epoch: [47][7900/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 1.9762 (2.0291)	Prec@1 53.000 (47.627)	Prec@5 77.500 (78.151)
Epoch: [47][7910/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.0574 (2.0291)	Prec@1 45.500 (47.627)	Prec@5 78.000 (78.151)
Epoch: [47][7920/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.0723 (2.0292)	Prec@1 48.500 (47.626)	Prec@5 76.000 (78.150)
Epoch: [47][7930/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.1635 (2.0292)	Prec@1 45.500 (47.626)	Prec@5 76.500 (78.151)
Epoch: [47][7940/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.9385 (2.0291)	Prec@1 47.500 (47.627)	Prec@5 79.000 (78.152)
Epoch: [47][7950/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 1.8038 (2.0291)	Prec@1 53.500 (47.628)	Prec@5 82.500 (78.152)
Epoch: [47][7960/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.9392 (2.0291)	Prec@1 48.000 (47.628)	Prec@5 79.500 (78.151)
Epoch: [47][7970/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.9033 (2.0291)	Prec@1 52.000 (47.631)	Prec@5 80.000 (78.150)
Epoch: [47][7980/9018]	Time 0.631 (0.612)	Data 0.001 (0.001)	Loss 1.8435 (2.0290)	Prec@1 50.500 (47.631)	Prec@5 77.500 (78.151)
Epoch: [47][7990/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 1.9654 (2.0290)	Prec@1 50.000 (47.632)	Prec@5 82.000 (78.151)
Epoch: [47][8000/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 1.8326 (2.0290)	Prec@1 51.500 (47.629)	Prec@5 84.000 (78.151)
Epoch: [47][8010/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.1441 (2.0290)	Prec@1 48.500 (47.628)	Prec@5 76.000 (78.152)
Epoch: [47][8020/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1056 (2.0290)	Prec@1 40.500 (47.627)	Prec@5 78.500 (78.153)
Epoch: [47][8030/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.0305 (2.0289)	Prec@1 47.000 (47.629)	Prec@5 78.500 (78.154)
Epoch: [47][8040/9018]	Time 0.619 (0.612)	Data 0.001 (0.001)	Loss 1.9129 (2.0289)	Prec@1 55.500 (47.632)	Prec@5 78.000 (78.155)
Epoch: [47][8050/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 1.9846 (2.0288)	Prec@1 50.500 (47.633)	Prec@5 80.500 (78.155)
Epoch: [47][8060/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 1.8470 (2.0288)	Prec@1 51.500 (47.632)	Prec@5 82.500 (78.156)
Epoch: [47][8070/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.0605 (2.0288)	Prec@1 50.000 (47.634)	Prec@5 77.500 (78.156)
Epoch: [47][8080/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 2.0650 (2.0288)	Prec@1 47.000 (47.634)	Prec@5 78.500 (78.157)
Epoch: [47][8090/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.1557 (2.0289)	Prec@1 52.500 (47.633)	Prec@5 76.000 (78.155)
Epoch: [47][8100/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.2024 (2.0290)	Prec@1 43.500 (47.632)	Prec@5 76.000 (78.152)
Epoch: [47][8110/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1707 (2.0289)	Prec@1 42.000 (47.632)	Prec@5 79.000 (78.152)
Epoch: [47][8120/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 2.1055 (2.0290)	Prec@1 48.000 (47.631)	Prec@5 72.000 (78.152)
Epoch: [47][8130/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.0309 (2.0290)	Prec@1 47.000 (47.632)	Prec@5 77.500 (78.152)
Epoch: [47][8140/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.0967 (2.0289)	Prec@1 47.500 (47.634)	Prec@5 77.500 (78.153)
Epoch: [47][8150/9018]	Time 0.771 (0.612)	Data 0.001 (0.001)	Loss 1.8741 (2.0290)	Prec@1 50.500 (47.634)	Prec@5 84.000 (78.151)
Epoch: [47][8160/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.0238 (2.0290)	Prec@1 46.500 (47.632)	Prec@5 79.000 (78.151)
Epoch: [47][8170/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 2.1145 (2.0290)	Prec@1 45.000 (47.631)	Prec@5 76.000 (78.150)
Epoch: [47][8180/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 2.1219 (2.0291)	Prec@1 47.000 (47.629)	Prec@5 77.500 (78.150)
Epoch: [47][8190/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 2.1969 (2.0292)	Prec@1 41.000 (47.627)	Prec@5 74.500 (78.147)
Epoch: [47][8200/9018]	Time 0.743 (0.612)	Data 0.001 (0.001)	Loss 1.9907 (2.0291)	Prec@1 51.500 (47.629)	Prec@5 77.000 (78.148)
Epoch: [47][8210/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.2625 (2.0291)	Prec@1 44.500 (47.629)	Prec@5 72.000 (78.146)
Epoch: [47][8220/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 1.8293 (2.0292)	Prec@1 50.000 (47.628)	Prec@5 80.000 (78.145)
Epoch: [47][8230/9018]	Time 0.635 (0.612)	Data 0.001 (0.001)	Loss 2.1238 (2.0292)	Prec@1 49.000 (47.629)	Prec@5 76.500 (78.143)
Epoch: [47][8240/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 2.0842 (2.0292)	Prec@1 46.500 (47.629)	Prec@5 75.000 (78.143)
Epoch: [47][8250/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 1.9438 (2.0292)	Prec@1 50.500 (47.628)	Prec@5 77.000 (78.143)
Epoch: [47][8260/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.1313 (2.0292)	Prec@1 43.500 (47.628)	Prec@5 77.000 (78.142)
Epoch: [47][8270/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.0961 (2.0293)	Prec@1 45.000 (47.627)	Prec@5 77.500 (78.141)
Epoch: [47][8280/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 2.1802 (2.0292)	Prec@1 49.000 (47.628)	Prec@5 76.500 (78.143)
Epoch: [47][8290/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1524 (2.0294)	Prec@1 45.500 (47.625)	Prec@5 76.000 (78.142)
Epoch: [47][8300/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.8998 (2.0293)	Prec@1 46.000 (47.627)	Prec@5 81.000 (78.143)
Epoch: [47][8310/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 2.0472 (2.0293)	Prec@1 50.000 (47.626)	Prec@5 77.000 (78.144)
Epoch: [47][8320/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.0858 (2.0293)	Prec@1 50.500 (47.625)	Prec@5 77.000 (78.143)
Epoch: [47][8330/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.9893 (2.0293)	Prec@1 45.500 (47.625)	Prec@5 79.500 (78.144)
Epoch: [47][8340/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 1.9436 (2.0294)	Prec@1 47.500 (47.625)	Prec@5 79.000 (78.142)
Epoch: [47][8350/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 2.0764 (2.0294)	Prec@1 48.000 (47.624)	Prec@5 78.500 (78.142)
Epoch: [47][8360/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 1.7993 (2.0293)	Prec@1 51.500 (47.626)	Prec@5 81.000 (78.143)
Epoch: [47][8370/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.0430 (2.0293)	Prec@1 49.000 (47.625)	Prec@5 76.500 (78.143)
Epoch: [47][8380/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 2.1855 (2.0293)	Prec@1 46.000 (47.625)	Prec@5 74.500 (78.141)
Epoch: [47][8390/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 2.0699 (2.0293)	Prec@1 46.500 (47.626)	Prec@5 77.500 (78.141)
Epoch: [47][8400/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 2.0671 (2.0293)	Prec@1 47.000 (47.626)	Prec@5 78.000 (78.143)
Epoch: [47][8410/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.2505 (2.0293)	Prec@1 47.500 (47.624)	Prec@5 74.000 (78.141)
Epoch: [47][8420/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.3088 (2.0293)	Prec@1 45.000 (47.625)	Prec@5 73.000 (78.141)
Epoch: [47][8430/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.3311 (2.0294)	Prec@1 45.500 (47.624)	Prec@5 73.500 (78.139)
Epoch: [47][8440/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 2.0792 (2.0294)	Prec@1 47.500 (47.623)	Prec@5 74.500 (78.139)
Epoch: [47][8450/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.0396 (2.0294)	Prec@1 52.000 (47.624)	Prec@5 77.000 (78.139)
Epoch: [47][8460/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.8317 (2.0293)	Prec@1 51.000 (47.624)	Prec@5 82.500 (78.139)
Epoch: [47][8470/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 1.9168 (2.0293)	Prec@1 49.500 (47.624)	Prec@5 78.500 (78.141)
Epoch: [47][8480/9018]	Time 0.840 (0.612)	Data 0.001 (0.001)	Loss 2.1060 (2.0293)	Prec@1 45.500 (47.623)	Prec@5 76.500 (78.141)
Epoch: [47][8490/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 2.1185 (2.0294)	Prec@1 49.000 (47.624)	Prec@5 77.000 (78.141)
Epoch: [47][8500/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1110 (2.0293)	Prec@1 44.000 (47.625)	Prec@5 79.500 (78.143)
Epoch: [47][8510/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.7714 (2.0293)	Prec@1 50.500 (47.624)	Prec@5 81.000 (78.141)
Epoch: [47][8520/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 1.9528 (2.0293)	Prec@1 47.000 (47.626)	Prec@5 76.500 (78.142)
Epoch: [47][8530/9018]	Time 0.747 (0.612)	Data 0.001 (0.001)	Loss 1.8819 (2.0293)	Prec@1 51.500 (47.626)	Prec@5 82.000 (78.141)
Epoch: [47][8540/9018]	Time 0.613 (0.612)	Data 0.001 (0.001)	Loss 2.2092 (2.0293)	Prec@1 45.000 (47.624)	Prec@5 73.500 (78.140)
Epoch: [47][8550/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.7996 (2.0293)	Prec@1 53.000 (47.623)	Prec@5 82.500 (78.140)
Epoch: [47][8560/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 2.0779 (2.0293)	Prec@1 50.000 (47.624)	Prec@5 75.500 (78.139)
Epoch: [47][8570/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.8715 (2.0294)	Prec@1 50.000 (47.623)	Prec@5 80.000 (78.137)
Epoch: [47][8580/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.0637 (2.0295)	Prec@1 52.000 (47.625)	Prec@5 77.500 (78.137)
Epoch: [47][8590/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 1.9958 (2.0295)	Prec@1 45.500 (47.625)	Prec@5 81.000 (78.138)
Epoch: [47][8600/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 1.9891 (2.0295)	Prec@1 46.000 (47.623)	Prec@5 75.500 (78.138)
Epoch: [47][8610/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.0040 (2.0295)	Prec@1 49.500 (47.622)	Prec@5 78.500 (78.139)
Epoch: [47][8620/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 1.8388 (2.0295)	Prec@1 49.500 (47.621)	Prec@5 81.000 (78.140)
Epoch: [47][8630/9018]	Time 0.591 (0.612)	Data 0.001 (0.001)	Loss 2.0427 (2.0296)	Prec@1 42.000 (47.617)	Prec@5 78.500 (78.139)
Epoch: [47][8640/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.2434 (2.0296)	Prec@1 40.000 (47.616)	Prec@5 74.000 (78.139)
Epoch: [47][8650/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.8289 (2.0296)	Prec@1 50.000 (47.616)	Prec@5 76.000 (78.138)
Epoch: [47][8660/9018]	Time 0.632 (0.612)	Data 0.001 (0.001)	Loss 2.0664 (2.0296)	Prec@1 44.500 (47.616)	Prec@5 78.500 (78.138)
Epoch: [47][8670/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.8535 (2.0296)	Prec@1 52.500 (47.616)	Prec@5 83.000 (78.138)
Epoch: [47][8680/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 2.0989 (2.0297)	Prec@1 46.500 (47.615)	Prec@5 77.500 (78.137)
Epoch: [47][8690/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 2.2372 (2.0297)	Prec@1 45.500 (47.615)	Prec@5 71.500 (78.137)
Epoch: [47][8700/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 2.1770 (2.0297)	Prec@1 41.000 (47.615)	Prec@5 74.500 (78.136)
Epoch: [47][8710/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 1.8261 (2.0297)	Prec@1 54.000 (47.613)	Prec@5 82.500 (78.135)
Epoch: [47][8720/9018]	Time 0.617 (0.612)	Data 0.001 (0.001)	Loss 2.2776 (2.0299)	Prec@1 44.000 (47.611)	Prec@5 75.000 (78.135)
Epoch: [47][8730/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.0472 (2.0298)	Prec@1 44.500 (47.612)	Prec@5 80.500 (78.135)
Epoch: [47][8740/9018]	Time 0.620 (0.612)	Data 0.001 (0.001)	Loss 2.1845 (2.0299)	Prec@1 43.000 (47.609)	Prec@5 78.000 (78.135)
Epoch: [47][8750/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 2.2501 (2.0300)	Prec@1 47.000 (47.607)	Prec@5 74.000 (78.132)
Epoch: [47][8760/9018]	Time 0.612 (0.612)	Data 0.001 (0.001)	Loss 1.8660 (2.0299)	Prec@1 54.500 (47.610)	Prec@5 80.500 (78.133)
Epoch: [47][8770/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 2.0194 (2.0299)	Prec@1 49.000 (47.610)	Prec@5 78.000 (78.133)
Epoch: [47][8780/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 1.9605 (2.0299)	Prec@1 49.000 (47.612)	Prec@5 81.000 (78.135)
Epoch: [47][8790/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.0276 (2.0298)	Prec@1 51.000 (47.614)	Prec@5 76.500 (78.135)
Epoch: [47][8800/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.3820 (2.0299)	Prec@1 39.000 (47.612)	Prec@5 75.000 (78.133)
Epoch: [47][8810/9018]	Time 0.745 (0.612)	Data 0.001 (0.001)	Loss 2.0769 (2.0299)	Prec@1 43.500 (47.612)	Prec@5 76.500 (78.133)
Epoch: [47][8820/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 1.8014 (2.0299)	Prec@1 54.500 (47.611)	Prec@5 80.000 (78.132)
Epoch: [47][8830/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.0402 (2.0298)	Prec@1 47.000 (47.612)	Prec@5 80.500 (78.135)
Epoch: [47][8840/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 2.1270 (2.0298)	Prec@1 44.500 (47.611)	Prec@5 77.000 (78.134)
Epoch: [47][8850/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.9838 (2.0299)	Prec@1 47.000 (47.612)	Prec@5 79.000 (78.134)
Epoch: [47][8860/9018]	Time 0.741 (0.612)	Data 0.001 (0.001)	Loss 1.9374 (2.0299)	Prec@1 45.500 (47.611)	Prec@5 80.000 (78.135)
Epoch: [47][8870/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 2.0798 (2.0299)	Prec@1 46.000 (47.610)	Prec@5 79.000 (78.137)
Epoch: [47][8880/9018]	Time 0.629 (0.612)	Data 0.001 (0.001)	Loss 1.8798 (2.0299)	Prec@1 48.500 (47.610)	Prec@5 81.000 (78.138)
Epoch: [47][8890/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 2.2104 (2.0299)	Prec@1 43.500 (47.608)	Prec@5 76.500 (78.136)
Epoch: [47][8900/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.0238 (2.0299)	Prec@1 46.000 (47.608)	Prec@5 78.000 (78.137)
Epoch: [47][8910/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 2.0117 (2.0299)	Prec@1 51.000 (47.608)	Prec@5 78.500 (78.137)
Epoch: [47][8920/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 2.0404 (2.0300)	Prec@1 48.000 (47.606)	Prec@5 79.500 (78.137)
Epoch: [47][8930/9018]	Time 0.623 (0.612)	Data 0.001 (0.001)	Loss 2.0602 (2.0299)	Prec@1 45.500 (47.607)	Prec@5 76.500 (78.137)
Epoch: [47][8940/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 2.0201 (2.0299)	Prec@1 48.500 (47.605)	Prec@5 78.500 (78.138)
Epoch: [47][8950/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 2.0204 (2.0299)	Prec@1 51.500 (47.606)	Prec@5 77.500 (78.138)
Epoch: [47][8960/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 1.9254 (2.0299)	Prec@1 50.000 (47.604)	Prec@5 81.000 (78.138)
Epoch: [47][8970/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 1.9525 (2.0299)	Prec@1 48.500 (47.604)	Prec@5 81.000 (78.139)
Epoch: [47][8980/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 2.1861 (2.0300)	Prec@1 42.500 (47.603)	Prec@5 74.500 (78.138)
Epoch: [47][8990/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 2.0417 (2.0300)	Prec@1 48.500 (47.603)	Prec@5 81.500 (78.139)
Epoch: [47][9000/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 2.0627 (2.0300)	Prec@1 44.500 (47.604)	Prec@5 78.000 (78.139)
Epoch: [47][9010/9018]	Time 0.597 (0.612)	Data 0.000 (0.001)	Loss 2.0444 (2.0299)	Prec@1 48.500 (47.604)	Prec@5 78.500 (78.139)
Test: [0/183]	Time 1.285 (1.285)	Loss 2.7089 (2.7089)	Prec@1 29.000 (29.000)	Prec@5 64.000 (64.000)
Test: [10/183]	Time 0.188 (0.303)	Loss 1.8045 (1.8436)	Prec@1 54.000 (50.773)	Prec@5 81.000 (81.909)
Test: [20/183]	Time 0.200 (0.251)	Loss 2.3002 (1.8012)	Prec@1 44.000 (51.595)	Prec@5 76.000 (82.857)
Test: [30/183]	Time 0.179 (0.233)	Loss 2.5924 (1.8048)	Prec@1 25.000 (51.145)	Prec@5 73.000 (83.113)
Test: [40/183]	Time 0.256 (0.225)	Loss 2.3924 (1.7849)	Prec@1 36.500 (52.159)	Prec@5 78.000 (82.768)
Test: [50/183]	Time 0.193 (0.220)	Loss 1.6414 (1.7628)	Prec@1 57.500 (52.833)	Prec@5 87.000 (83.167)
Test: [60/183]	Time 0.187 (0.216)	Loss 2.0208 (1.8212)	Prec@1 47.000 (51.033)	Prec@5 78.000 (82.639)
Test: [70/183]	Time 0.182 (0.212)	Loss 1.7339 (1.8014)	Prec@1 55.000 (51.268)	Prec@5 83.500 (83.127)
Test: [80/183]	Time 0.189 (0.210)	Loss 1.5289 (1.7855)	Prec@1 58.000 (51.500)	Prec@5 90.500 (83.265)
Test: [90/183]	Time 0.256 (0.209)	Loss 2.3057 (1.7745)	Prec@1 37.500 (51.835)	Prec@5 73.500 (83.440)
Test: [100/183]	Time 0.192 (0.207)	Loss 1.0503 (1.7826)	Prec@1 67.000 (51.663)	Prec@5 92.000 (83.302)
Test: [110/183]	Time 0.190 (0.206)	Loss 0.8059 (1.7780)	Prec@1 82.000 (51.815)	Prec@5 95.000 (83.351)
Test: [120/183]	Time 0.197 (0.205)	Loss 2.3074 (1.7801)	Prec@1 39.000 (51.678)	Prec@5 71.000 (83.281)
Test: [130/183]	Time 0.188 (0.204)	Loss 3.1215 (1.7860)	Prec@1 16.500 (51.527)	Prec@5 67.500 (83.370)
Test: [140/183]	Time 0.257 (0.204)	Loss 1.3256 (1.7711)	Prec@1 64.000 (51.968)	Prec@5 87.000 (83.500)
Test: [150/183]	Time 0.191 (0.203)	Loss 0.8578 (1.7663)	Prec@1 77.000 (52.252)	Prec@5 98.000 (83.576)
Test: [160/183]	Time 0.184 (0.203)	Loss 1.8724 (1.7625)	Prec@1 49.000 (52.481)	Prec@5 75.500 (83.596)
Test: [170/183]	Time 0.201 (0.202)	Loss 2.2517 (1.7777)	Prec@1 37.500 (52.079)	Prec@5 80.000 (83.322)
Test: [180/183]	Time 0.181 (0.202)	Loss 1.9698 (1.7858)	Prec@1 49.500 (51.989)	Prec@5 84.000 (83.191)
 * Prec@1 52.036 Prec@5 83.205
Epoch: [48][0/9018]	Time 2.893 (2.893)	Data 2.284 (2.284)	Loss 1.7872 (1.7872)	Prec@1 51.000 (51.000)	Prec@5 84.000 (84.000)
Epoch: [48][10/9018]	Time 0.592 (0.820)	Data 0.001 (0.208)	Loss 1.8464 (1.9419)	Prec@1 56.500 (49.091)	Prec@5 80.000 (79.636)
Epoch: [48][20/9018]	Time 0.587 (0.712)	Data 0.001 (0.110)	Loss 2.1423 (1.9356)	Prec@1 45.500 (49.095)	Prec@5 78.500 (80.310)
Epoch: [48][30/9018]	Time 0.638 (0.682)	Data 0.001 (0.074)	Loss 1.9316 (1.9327)	Prec@1 50.500 (49.145)	Prec@5 80.000 (80.500)
Epoch: [48][40/9018]	Time 0.604 (0.666)	Data 0.001 (0.056)	Loss 2.1885 (1.9529)	Prec@1 44.500 (48.939)	Prec@5 77.500 (79.988)
Epoch: [48][50/9018]	Time 0.598 (0.655)	Data 0.001 (0.046)	Loss 2.0629 (1.9700)	Prec@1 48.000 (48.745)	Prec@5 76.000 (79.422)
Epoch: [48][60/9018]	Time 0.635 (0.649)	Data 0.001 (0.038)	Loss 2.1657 (1.9787)	Prec@1 42.000 (48.500)	Prec@5 75.500 (79.238)
Epoch: [48][70/9018]	Time 0.600 (0.644)	Data 0.001 (0.033)	Loss 2.2684 (1.9934)	Prec@1 43.500 (48.148)	Prec@5 72.500 (78.880)
Epoch: [48][80/9018]	Time 0.606 (0.641)	Data 0.001 (0.029)	Loss 2.2190 (1.9949)	Prec@1 47.000 (48.216)	Prec@5 76.500 (78.914)
Epoch: [48][90/9018]	Time 0.595 (0.638)	Data 0.001 (0.026)	Loss 2.0778 (1.9874)	Prec@1 48.500 (48.423)	Prec@5 78.500 (79.055)
Epoch: [48][100/9018]	Time 0.634 (0.635)	Data 0.001 (0.023)	Loss 2.0028 (1.9907)	Prec@1 45.000 (48.267)	Prec@5 74.500 (79.015)
Epoch: [48][110/9018]	Time 0.599 (0.634)	Data 0.001 (0.021)	Loss 2.1872 (1.9860)	Prec@1 46.500 (48.423)	Prec@5 75.000 (79.068)
Epoch: [48][120/9018]	Time 0.647 (0.632)	Data 0.001 (0.020)	Loss 2.2342 (1.9878)	Prec@1 45.000 (48.512)	Prec@5 75.000 (79.037)
Epoch: [48][130/9018]	Time 0.625 (0.632)	Data 0.001 (0.018)	Loss 1.9710 (1.9904)	Prec@1 45.000 (48.485)	Prec@5 79.000 (78.908)
Epoch: [48][140/9018]	Time 0.597 (0.631)	Data 0.001 (0.017)	Loss 1.8820 (1.9882)	Prec@1 51.000 (48.560)	Prec@5 80.000 (78.922)
Epoch: [48][150/9018]	Time 0.604 (0.630)	Data 0.001 (0.016)	Loss 1.7498 (1.9891)	Prec@1 57.000 (48.543)	Prec@5 79.500 (78.911)
Epoch: [48][160/9018]	Time 0.598 (0.629)	Data 0.001 (0.015)	Loss 1.8238 (1.9856)	Prec@1 47.500 (48.537)	Prec@5 82.000 (78.966)
Epoch: [48][170/9018]	Time 0.656 (0.628)	Data 0.001 (0.014)	Loss 2.1006 (1.9868)	Prec@1 48.000 (48.538)	Prec@5 76.500 (78.892)
Epoch: [48][180/9018]	Time 0.600 (0.628)	Data 0.001 (0.013)	Loss 1.8730 (1.9843)	Prec@1 53.000 (48.613)	Prec@5 80.000 (78.892)
Epoch: [48][190/9018]	Time 0.594 (0.627)	Data 0.001 (0.013)	Loss 1.9601 (1.9885)	Prec@1 48.500 (48.490)	Prec@5 81.500 (78.901)
Epoch: [48][200/9018]	Time 0.587 (0.626)	Data 0.001 (0.012)	Loss 1.7277 (1.9892)	Prec@1 50.000 (48.490)	Prec@5 84.000 (78.913)
Epoch: [48][210/9018]	Time 0.607 (0.626)	Data 0.001 (0.012)	Loss 1.9487 (1.9904)	Prec@1 49.500 (48.431)	Prec@5 79.500 (78.931)
Epoch: [48][220/9018]	Time 0.593 (0.625)	Data 0.001 (0.011)	Loss 1.7580 (1.9910)	Prec@1 54.500 (48.394)	Prec@5 83.500 (78.912)
Epoch: [48][230/9018]	Time 0.596 (0.624)	Data 0.001 (0.011)	Loss 2.0091 (1.9929)	Prec@1 50.500 (48.348)	Prec@5 80.500 (78.920)
Epoch: [48][240/9018]	Time 0.600 (0.624)	Data 0.001 (0.010)	Loss 1.9236 (1.9931)	Prec@1 50.500 (48.332)	Prec@5 81.500 (78.929)
Epoch: [48][250/9018]	Time 0.604 (0.624)	Data 0.001 (0.010)	Loss 1.8884 (1.9913)	Prec@1 52.500 (48.341)	Prec@5 79.000 (78.970)
Epoch: [48][260/9018]	Time 0.603 (0.623)	Data 0.001 (0.010)	Loss 1.9695 (1.9901)	Prec@1 48.500 (48.358)	Prec@5 80.000 (78.983)
Epoch: [48][270/9018]	Time 0.718 (0.623)	Data 0.001 (0.009)	Loss 2.0254 (1.9912)	Prec@1 49.500 (48.371)	Prec@5 81.000 (78.958)
Epoch: [48][280/9018]	Time 0.601 (0.623)	Data 0.001 (0.009)	Loss 1.9961 (1.9924)	Prec@1 47.000 (48.288)	Prec@5 79.500 (78.927)
Epoch: [48][290/9018]	Time 0.596 (0.623)	Data 0.001 (0.009)	Loss 2.0423 (1.9939)	Prec@1 45.500 (48.277)	Prec@5 80.500 (78.914)
Epoch: [48][300/9018]	Time 0.632 (0.622)	Data 0.001 (0.008)	Loss 1.8752 (1.9925)	Prec@1 46.500 (48.286)	Prec@5 78.000 (78.914)
Epoch: [48][310/9018]	Time 0.613 (0.622)	Data 0.001 (0.008)	Loss 1.9396 (1.9937)	Prec@1 50.500 (48.285)	Prec@5 80.000 (78.879)
Epoch: [48][320/9018]	Time 0.731 (0.622)	Data 0.001 (0.008)	Loss 1.8827 (1.9936)	Prec@1 51.500 (48.305)	Prec@5 79.000 (78.863)
Epoch: [48][330/9018]	Time 0.627 (0.621)	Data 0.001 (0.008)	Loss 2.0859 (1.9953)	Prec@1 46.000 (48.240)	Prec@5 76.000 (78.838)
Epoch: [48][340/9018]	Time 0.608 (0.622)	Data 0.001 (0.007)	Loss 1.8931 (1.9957)	Prec@1 47.500 (48.238)	Prec@5 80.500 (78.842)
Epoch: [48][350/9018]	Time 0.636 (0.622)	Data 0.001 (0.007)	Loss 1.9952 (1.9955)	Prec@1 46.500 (48.238)	Prec@5 79.000 (78.819)
Epoch: [48][360/9018]	Time 0.611 (0.621)	Data 0.001 (0.007)	Loss 1.9908 (1.9980)	Prec@1 44.500 (48.173)	Prec@5 78.000 (78.781)
Epoch: [48][370/9018]	Time 0.595 (0.621)	Data 0.001 (0.007)	Loss 1.8672 (1.9978)	Prec@1 49.000 (48.135)	Prec@5 85.000 (78.798)
Epoch: [48][380/9018]	Time 0.633 (0.621)	Data 0.001 (0.007)	Loss 2.1162 (1.9973)	Prec@1 44.000 (48.131)	Prec@5 74.000 (78.814)
Epoch: [48][390/9018]	Time 0.627 (0.621)	Data 0.001 (0.007)	Loss 2.0408 (1.9967)	Prec@1 45.500 (48.137)	Prec@5 74.500 (78.808)
Epoch: [48][400/9018]	Time 0.601 (0.621)	Data 0.001 (0.006)	Loss 1.8773 (1.9978)	Prec@1 52.500 (48.145)	Prec@5 81.000 (78.794)
Epoch: [48][410/9018]	Time 0.629 (0.621)	Data 0.001 (0.006)	Loss 2.1450 (1.9968)	Prec@1 46.000 (48.144)	Prec@5 75.500 (78.827)
Epoch: [48][420/9018]	Time 0.598 (0.621)	Data 0.001 (0.006)	Loss 2.0479 (1.9954)	Prec@1 46.500 (48.189)	Prec@5 80.500 (78.848)
Epoch: [48][430/9018]	Time 0.635 (0.621)	Data 0.001 (0.006)	Loss 2.0420 (1.9956)	Prec@1 43.500 (48.177)	Prec@5 78.000 (78.853)
Epoch: [48][440/9018]	Time 0.598 (0.621)	Data 0.001 (0.006)	Loss 2.0015 (1.9961)	Prec@1 49.000 (48.156)	Prec@5 77.500 (78.833)
Epoch: [48][450/9018]	Time 0.592 (0.620)	Data 0.001 (0.006)	Loss 2.1422 (1.9979)	Prec@1 45.000 (48.119)	Prec@5 76.000 (78.792)
Epoch: [48][460/9018]	Time 0.596 (0.620)	Data 0.001 (0.006)	Loss 2.1940 (1.9985)	Prec@1 48.000 (48.137)	Prec@5 80.500 (78.783)
Epoch: [48][470/9018]	Time 0.603 (0.620)	Data 0.001 (0.006)	Loss 2.1694 (2.0002)	Prec@1 43.500 (48.098)	Prec@5 74.000 (78.749)
Epoch: [48][480/9018]	Time 0.627 (0.620)	Data 0.001 (0.006)	Loss 2.1010 (1.9998)	Prec@1 50.500 (48.103)	Prec@5 74.500 (78.763)
Epoch: [48][490/9018]	Time 0.601 (0.620)	Data 0.001 (0.005)	Loss 2.0788 (2.0007)	Prec@1 46.500 (48.096)	Prec@5 77.000 (78.737)
Epoch: [48][500/9018]	Time 0.608 (0.620)	Data 0.001 (0.005)	Loss 2.1229 (2.0021)	Prec@1 43.500 (48.066)	Prec@5 76.000 (78.704)
Epoch: [48][510/9018]	Time 0.616 (0.620)	Data 0.001 (0.005)	Loss 1.9800 (2.0021)	Prec@1 51.000 (48.063)	Prec@5 81.000 (78.697)
Epoch: [48][520/9018]	Time 0.632 (0.620)	Data 0.001 (0.005)	Loss 2.0749 (2.0027)	Prec@1 46.000 (48.040)	Prec@5 78.500 (78.684)
Epoch: [48][530/9018]	Time 0.629 (0.620)	Data 0.001 (0.005)	Loss 1.9215 (2.0029)	Prec@1 49.000 (48.024)	Prec@5 81.000 (78.677)
Epoch: [48][540/9018]	Time 0.617 (0.620)	Data 0.001 (0.005)	Loss 1.9399 (2.0031)	Prec@1 49.500 (48.019)	Prec@5 79.000 (78.667)
Epoch: [48][550/9018]	Time 0.621 (0.620)	Data 0.001 (0.005)	Loss 1.9502 (2.0035)	Prec@1 46.500 (48.015)	Prec@5 79.500 (78.663)
Epoch: [48][560/9018]	Time 0.603 (0.620)	Data 0.001 (0.005)	Loss 1.9061 (2.0029)	Prec@1 53.000 (48.031)	Prec@5 79.500 (78.668)
Epoch: [48][570/9018]	Time 0.609 (0.620)	Data 0.001 (0.005)	Loss 1.8921 (2.0034)	Prec@1 49.000 (48.029)	Prec@5 83.500 (78.663)
Epoch: [48][580/9018]	Time 0.620 (0.620)	Data 0.001 (0.005)	Loss 1.8119 (2.0042)	Prec@1 49.000 (47.999)	Prec@5 82.500 (78.646)
Epoch: [48][590/9018]	Time 0.602 (0.619)	Data 0.001 (0.005)	Loss 2.0453 (2.0036)	Prec@1 42.500 (47.998)	Prec@5 78.500 (78.669)
Epoch: [48][600/9018]	Time 0.738 (0.619)	Data 0.001 (0.005)	Loss 2.0991 (2.0037)	Prec@1 46.000 (48.022)	Prec@5 76.500 (78.652)
Epoch: [48][610/9018]	Time 0.596 (0.619)	Data 0.001 (0.005)	Loss 1.9698 (2.0029)	Prec@1 48.500 (48.059)	Prec@5 78.500 (78.655)
Epoch: [48][620/9018]	Time 0.604 (0.619)	Data 0.001 (0.004)	Loss 2.1356 (2.0030)	Prec@1 46.500 (48.066)	Prec@5 70.500 (78.639)
Epoch: [48][630/9018]	Time 0.615 (0.619)	Data 0.001 (0.004)	Loss 2.0999 (2.0041)	Prec@1 46.000 (48.044)	Prec@5 77.000 (78.613)
Epoch: [48][640/9018]	Time 0.599 (0.619)	Data 0.001 (0.004)	Loss 2.0547 (2.0041)	Prec@1 48.500 (48.059)	Prec@5 75.000 (78.609)
Epoch: [48][650/9018]	Time 0.733 (0.619)	Data 0.001 (0.004)	Loss 1.9505 (2.0047)	Prec@1 53.500 (48.052)	Prec@5 80.000 (78.601)
Epoch: [48][660/9018]	Time 0.608 (0.619)	Data 0.001 (0.004)	Loss 2.1917 (2.0054)	Prec@1 39.000 (48.023)	Prec@5 74.500 (78.584)
Epoch: [48][670/9018]	Time 0.597 (0.619)	Data 0.001 (0.004)	Loss 2.4955 (2.0058)	Prec@1 40.000 (48.021)	Prec@5 70.500 (78.583)
Epoch: [48][680/9018]	Time 0.625 (0.619)	Data 0.001 (0.004)	Loss 1.9604 (2.0061)	Prec@1 51.500 (48.030)	Prec@5 81.000 (78.576)
Epoch: [48][690/9018]	Time 0.598 (0.619)	Data 0.001 (0.004)	Loss 2.1331 (2.0065)	Prec@1 44.500 (48.033)	Prec@5 78.000 (78.577)
Epoch: [48][700/9018]	Time 0.608 (0.619)	Data 0.001 (0.004)	Loss 1.8946 (2.0067)	Prec@1 52.000 (48.035)	Prec@5 80.000 (78.578)
Epoch: [48][710/9018]	Time 0.609 (0.619)	Data 0.001 (0.004)	Loss 2.1792 (2.0066)	Prec@1 44.500 (48.055)	Prec@5 77.000 (78.584)
Epoch: [48][720/9018]	Time 0.614 (0.619)	Data 0.001 (0.004)	Loss 2.0203 (2.0061)	Prec@1 45.000 (48.073)	Prec@5 78.000 (78.594)
Epoch: [48][730/9018]	Time 0.614 (0.619)	Data 0.001 (0.004)	Loss 2.0179 (2.0063)	Prec@1 50.500 (48.071)	Prec@5 78.000 (78.601)
Epoch: [48][740/9018]	Time 0.608 (0.619)	Data 0.001 (0.004)	Loss 2.1556 (2.0058)	Prec@1 45.500 (48.072)	Prec@5 75.500 (78.597)
Epoch: [48][750/9018]	Time 0.605 (0.619)	Data 0.001 (0.004)	Loss 2.2503 (2.0055)	Prec@1 40.500 (48.064)	Prec@5 72.500 (78.597)
Epoch: [48][760/9018]	Time 0.595 (0.619)	Data 0.001 (0.004)	Loss 2.1001 (2.0060)	Prec@1 43.000 (48.047)	Prec@5 78.000 (78.602)
Epoch: [48][770/9018]	Time 0.629 (0.619)	Data 0.001 (0.004)	Loss 1.7468 (2.0060)	Prec@1 54.500 (48.047)	Prec@5 83.000 (78.606)
Epoch: [48][780/9018]	Time 0.623 (0.618)	Data 0.001 (0.004)	Loss 2.1073 (2.0055)	Prec@1 49.500 (48.061)	Prec@5 79.000 (78.602)
Epoch: [48][790/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 1.8293 (2.0046)	Prec@1 48.500 (48.056)	Prec@5 79.500 (78.627)
Epoch: [48][800/9018]	Time 0.619 (0.619)	Data 0.001 (0.004)	Loss 1.8968 (2.0045)	Prec@1 49.000 (48.063)	Prec@5 79.000 (78.627)
Epoch: [48][810/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 1.9481 (2.0051)	Prec@1 50.500 (48.051)	Prec@5 80.000 (78.613)
Epoch: [48][820/9018]	Time 0.611 (0.619)	Data 0.001 (0.004)	Loss 1.9385 (2.0053)	Prec@1 53.000 (48.058)	Prec@5 78.500 (78.618)
Epoch: [48][830/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 2.0209 (2.0051)	Prec@1 47.000 (48.060)	Prec@5 79.500 (78.632)
Epoch: [48][840/9018]	Time 0.609 (0.618)	Data 0.001 (0.003)	Loss 2.0790 (2.0047)	Prec@1 45.500 (48.076)	Prec@5 75.000 (78.630)
Epoch: [48][850/9018]	Time 0.627 (0.618)	Data 0.001 (0.003)	Loss 1.7164 (2.0043)	Prec@1 59.500 (48.102)	Prec@5 81.000 (78.629)
Epoch: [48][860/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 2.0187 (2.0039)	Prec@1 46.000 (48.115)	Prec@5 81.000 (78.637)
Epoch: [48][870/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 2.0799 (2.0038)	Prec@1 48.000 (48.126)	Prec@5 78.000 (78.635)
Epoch: [48][880/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 2.0161 (2.0042)	Prec@1 47.500 (48.129)	Prec@5 78.500 (78.620)
Epoch: [48][890/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 2.3926 (2.0050)	Prec@1 41.500 (48.122)	Prec@5 70.500 (78.600)
Epoch: [48][900/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 2.1486 (2.0053)	Prec@1 43.500 (48.105)	Prec@5 77.500 (78.602)
Epoch: [48][910/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 2.0395 (2.0056)	Prec@1 49.500 (48.108)	Prec@5 78.000 (78.591)
Epoch: [48][920/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.8932 (2.0055)	Prec@1 51.500 (48.101)	Prec@5 80.000 (78.596)
Epoch: [48][930/9018]	Time 0.741 (0.618)	Data 0.001 (0.003)	Loss 2.1767 (2.0059)	Prec@1 44.000 (48.085)	Prec@5 76.000 (78.585)
Epoch: [48][940/9018]	Time 0.631 (0.618)	Data 0.001 (0.003)	Loss 2.0018 (2.0060)	Prec@1 47.500 (48.084)	Prec@5 81.500 (78.578)
Epoch: [48][950/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 2.0677 (2.0069)	Prec@1 45.500 (48.052)	Prec@5 79.000 (78.566)
Epoch: [48][960/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.9638 (2.0065)	Prec@1 50.500 (48.054)	Prec@5 77.000 (78.575)
Epoch: [48][970/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 1.9071 (2.0067)	Prec@1 47.000 (48.049)	Prec@5 79.500 (78.572)
Epoch: [48][980/9018]	Time 0.714 (0.618)	Data 0.001 (0.003)	Loss 1.9340 (2.0063)	Prec@1 48.500 (48.060)	Prec@5 80.000 (78.578)
Epoch: [48][990/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.8389 (2.0062)	Prec@1 50.000 (48.056)	Prec@5 82.500 (78.586)
Epoch: [48][1000/9018]	Time 0.626 (0.618)	Data 0.001 (0.003)	Loss 1.9096 (2.0064)	Prec@1 47.000 (48.054)	Prec@5 80.500 (78.581)
Epoch: [48][1010/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 2.0244 (2.0056)	Prec@1 47.500 (48.067)	Prec@5 80.500 (78.600)
Epoch: [48][1020/9018]	Time 0.629 (0.618)	Data 0.001 (0.003)	Loss 2.2160 (2.0055)	Prec@1 40.000 (48.072)	Prec@5 75.000 (78.613)
Epoch: [48][1030/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 2.2277 (2.0052)	Prec@1 45.500 (48.067)	Prec@5 76.000 (78.621)
Epoch: [48][1040/9018]	Time 0.620 (0.617)	Data 0.001 (0.003)	Loss 2.0530 (2.0049)	Prec@1 52.500 (48.078)	Prec@5 78.000 (78.625)
Epoch: [48][1050/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 1.9489 (2.0049)	Prec@1 46.500 (48.061)	Prec@5 79.000 (78.619)
Epoch: [48][1060/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 2.0456 (2.0043)	Prec@1 45.000 (48.056)	Prec@5 79.000 (78.628)
Epoch: [48][1070/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 2.1750 (2.0044)	Prec@1 45.000 (48.059)	Prec@5 73.500 (78.620)
Epoch: [48][1080/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 1.7862 (2.0048)	Prec@1 50.500 (48.043)	Prec@5 82.500 (78.616)
Epoch: [48][1090/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.7072 (2.0045)	Prec@1 52.500 (48.040)	Prec@5 87.000 (78.635)
Epoch: [48][1100/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 2.2309 (2.0045)	Prec@1 40.500 (48.035)	Prec@5 73.500 (78.634)
Epoch: [48][1110/9018]	Time 0.590 (0.617)	Data 0.001 (0.003)	Loss 1.6697 (2.0043)	Prec@1 51.500 (48.036)	Prec@5 87.500 (78.632)
Epoch: [48][1120/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 2.1348 (2.0041)	Prec@1 44.000 (48.046)	Prec@5 77.000 (78.632)
Epoch: [48][1130/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 1.8159 (2.0038)	Prec@1 49.500 (48.049)	Prec@5 83.500 (78.638)
Epoch: [48][1140/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 2.0663 (2.0040)	Prec@1 47.500 (48.043)	Prec@5 77.000 (78.633)
Epoch: [48][1150/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.9848 (2.0037)	Prec@1 48.500 (48.045)	Prec@5 78.500 (78.630)
Epoch: [48][1160/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 1.8445 (2.0041)	Prec@1 47.500 (48.036)	Prec@5 84.500 (78.629)
Epoch: [48][1170/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 2.1931 (2.0042)	Prec@1 46.500 (48.033)	Prec@5 74.000 (78.629)
Epoch: [48][1180/9018]	Time 0.617 (0.617)	Data 0.001 (0.003)	Loss 1.9739 (2.0036)	Prec@1 49.500 (48.041)	Prec@5 81.000 (78.638)
Epoch: [48][1190/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 1.9233 (2.0033)	Prec@1 51.500 (48.052)	Prec@5 82.000 (78.638)
Epoch: [48][1200/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.9075 (2.0030)	Prec@1 47.000 (48.064)	Prec@5 82.500 (78.649)
Epoch: [48][1210/9018]	Time 0.753 (0.617)	Data 0.001 (0.003)	Loss 1.9756 (2.0037)	Prec@1 51.500 (48.064)	Prec@5 79.000 (78.635)
Epoch: [48][1220/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 1.9089 (2.0037)	Prec@1 46.000 (48.064)	Prec@5 79.500 (78.634)
Epoch: [48][1230/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.9332 (2.0036)	Prec@1 53.000 (48.078)	Prec@5 78.500 (78.633)
Epoch: [48][1240/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.0196 (2.0036)	Prec@1 54.500 (48.085)	Prec@5 74.000 (78.625)
Epoch: [48][1250/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 2.1358 (2.0040)	Prec@1 46.500 (48.079)	Prec@5 75.000 (78.612)
Epoch: [48][1260/9018]	Time 0.756 (0.617)	Data 0.001 (0.003)	Loss 2.1399 (2.0047)	Prec@1 47.500 (48.073)	Prec@5 77.500 (78.607)
Epoch: [48][1270/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 1.9475 (2.0048)	Prec@1 48.500 (48.077)	Prec@5 80.500 (78.607)
Epoch: [48][1280/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 2.0053 (2.0049)	Prec@1 49.500 (48.071)	Prec@5 78.500 (78.605)
Epoch: [48][1290/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 2.0386 (2.0050)	Prec@1 48.000 (48.073)	Prec@5 78.500 (78.598)
Epoch: [48][1300/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.8686 (2.0051)	Prec@1 45.500 (48.066)	Prec@5 79.500 (78.595)
Epoch: [48][1310/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 2.1478 (2.0050)	Prec@1 50.000 (48.066)	Prec@5 74.500 (78.596)
Epoch: [48][1320/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 2.1362 (2.0047)	Prec@1 45.500 (48.071)	Prec@5 77.500 (78.606)
Epoch: [48][1330/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.9478 (2.0049)	Prec@1 51.000 (48.074)	Prec@5 79.500 (78.593)
Epoch: [48][1340/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.1216 (2.0056)	Prec@1 50.000 (48.067)	Prec@5 75.500 (78.582)
Epoch: [48][1350/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.0380 (2.0056)	Prec@1 48.000 (48.073)	Prec@5 79.500 (78.582)
Epoch: [48][1360/9018]	Time 0.616 (0.617)	Data 0.001 (0.002)	Loss 1.7076 (2.0053)	Prec@1 54.000 (48.071)	Prec@5 83.000 (78.585)
Epoch: [48][1370/9018]	Time 0.634 (0.617)	Data 0.001 (0.002)	Loss 2.0392 (2.0055)	Prec@1 46.500 (48.066)	Prec@5 78.500 (78.585)
Epoch: [48][1380/9018]	Time 0.621 (0.617)	Data 0.001 (0.002)	Loss 2.2035 (2.0051)	Prec@1 40.000 (48.071)	Prec@5 75.000 (78.591)
Epoch: [48][1390/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.2324 (2.0055)	Prec@1 47.000 (48.070)	Prec@5 74.500 (78.579)
Epoch: [48][1400/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.2330 (2.0061)	Prec@1 45.500 (48.054)	Prec@5 77.000 (78.569)
Epoch: [48][1410/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.1445 (2.0064)	Prec@1 44.500 (48.052)	Prec@5 77.500 (78.567)
Epoch: [48][1420/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 1.9349 (2.0063)	Prec@1 56.000 (48.057)	Prec@5 77.000 (78.570)
Epoch: [48][1430/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.9881 (2.0065)	Prec@1 46.500 (48.053)	Prec@5 79.500 (78.571)
Epoch: [48][1440/9018]	Time 0.645 (0.617)	Data 0.001 (0.002)	Loss 2.0531 (2.0069)	Prec@1 47.500 (48.047)	Prec@5 78.500 (78.566)
Epoch: [48][1450/9018]	Time 0.614 (0.617)	Data 0.001 (0.002)	Loss 1.9944 (2.0074)	Prec@1 46.500 (48.026)	Prec@5 75.000 (78.554)
Epoch: [48][1460/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.0451 (2.0075)	Prec@1 51.000 (48.027)	Prec@5 74.500 (78.550)
Epoch: [48][1470/9018]	Time 0.628 (0.617)	Data 0.001 (0.002)	Loss 1.9132 (2.0079)	Prec@1 48.000 (48.018)	Prec@5 83.000 (78.540)
Epoch: [48][1480/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 1.9749 (2.0082)	Prec@1 46.000 (48.017)	Prec@5 79.000 (78.534)
Epoch: [48][1490/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.2661 (2.0086)	Prec@1 40.500 (48.005)	Prec@5 75.000 (78.527)
Epoch: [48][1500/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.9129 (2.0087)	Prec@1 52.500 (48.004)	Prec@5 82.500 (78.528)
Epoch: [48][1510/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.0801 (2.0083)	Prec@1 48.000 (48.011)	Prec@5 77.000 (78.537)
Epoch: [48][1520/9018]	Time 0.631 (0.617)	Data 0.001 (0.002)	Loss 1.8763 (2.0084)	Prec@1 51.500 (48.013)	Prec@5 78.000 (78.536)
Epoch: [48][1530/9018]	Time 0.626 (0.617)	Data 0.001 (0.002)	Loss 2.0619 (2.0083)	Prec@1 46.500 (48.012)	Prec@5 75.500 (78.535)
Epoch: [48][1540/9018]	Time 0.765 (0.617)	Data 0.001 (0.002)	Loss 2.0926 (2.0086)	Prec@1 46.000 (47.997)	Prec@5 74.000 (78.536)
Epoch: [48][1550/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 1.9010 (2.0085)	Prec@1 50.000 (47.995)	Prec@5 82.000 (78.540)
Epoch: [48][1560/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.0149 (2.0090)	Prec@1 47.000 (47.985)	Prec@5 79.500 (78.537)
Epoch: [48][1570/9018]	Time 0.630 (0.617)	Data 0.001 (0.002)	Loss 2.0441 (2.0094)	Prec@1 48.000 (47.976)	Prec@5 80.000 (78.529)
Epoch: [48][1580/9018]	Time 0.630 (0.617)	Data 0.001 (0.002)	Loss 2.3487 (2.0095)	Prec@1 42.500 (47.973)	Prec@5 71.500 (78.526)
Epoch: [48][1590/9018]	Time 0.736 (0.617)	Data 0.001 (0.002)	Loss 1.9093 (2.0096)	Prec@1 55.500 (47.969)	Prec@5 81.000 (78.523)
Epoch: [48][1600/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.1607 (2.0097)	Prec@1 46.500 (47.971)	Prec@5 73.500 (78.519)
Epoch: [48][1610/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 1.9850 (2.0100)	Prec@1 49.000 (47.962)	Prec@5 82.500 (78.511)
Epoch: [48][1620/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 1.8832 (2.0100)	Prec@1 49.000 (47.961)	Prec@5 80.500 (78.518)
Epoch: [48][1630/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 1.8169 (2.0101)	Prec@1 50.000 (47.966)	Prec@5 81.500 (78.514)
Epoch: [48][1640/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 1.9386 (2.0101)	Prec@1 47.000 (47.966)	Prec@5 81.000 (78.515)
Epoch: [48][1650/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 2.0150 (2.0102)	Prec@1 47.000 (47.961)	Prec@5 79.500 (78.514)
Epoch: [48][1660/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.2519 (2.0101)	Prec@1 40.000 (47.959)	Prec@5 75.500 (78.517)
Epoch: [48][1670/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 1.7755 (2.0103)	Prec@1 49.000 (47.958)	Prec@5 83.500 (78.520)
Epoch: [48][1680/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 1.9672 (2.0102)	Prec@1 45.500 (47.957)	Prec@5 79.500 (78.522)
Epoch: [48][1690/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 2.2994 (2.0101)	Prec@1 39.000 (47.951)	Prec@5 76.000 (78.530)
Epoch: [48][1700/9018]	Time 0.625 (0.617)	Data 0.001 (0.002)	Loss 2.1006 (2.0099)	Prec@1 47.500 (47.957)	Prec@5 79.000 (78.535)
Epoch: [48][1710/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.2531 (2.0099)	Prec@1 42.000 (47.952)	Prec@5 73.500 (78.538)
Epoch: [48][1720/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.0149 (2.0100)	Prec@1 49.500 (47.951)	Prec@5 79.000 (78.543)
Epoch: [48][1730/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 2.0855 (2.0098)	Prec@1 45.500 (47.958)	Prec@5 78.500 (78.546)
Epoch: [48][1740/9018]	Time 0.618 (0.617)	Data 0.001 (0.002)	Loss 2.1460 (2.0099)	Prec@1 44.000 (47.957)	Prec@5 77.000 (78.544)
Epoch: [48][1750/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.8372 (2.0096)	Prec@1 52.000 (47.966)	Prec@5 83.000 (78.547)
Epoch: [48][1760/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.1562 (2.0098)	Prec@1 47.500 (47.965)	Prec@5 77.500 (78.543)
Epoch: [48][1770/9018]	Time 0.610 (0.617)	Data 0.001 (0.002)	Loss 1.8529 (2.0097)	Prec@1 52.000 (47.973)	Prec@5 81.500 (78.543)
Epoch: [48][1780/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 1.9111 (2.0098)	Prec@1 48.500 (47.978)	Prec@5 82.000 (78.540)
Epoch: [48][1790/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.2306 (2.0100)	Prec@1 42.000 (47.980)	Prec@5 75.500 (78.530)
Epoch: [48][1800/9018]	Time 0.612 (0.617)	Data 0.001 (0.002)	Loss 1.9199 (2.0105)	Prec@1 54.000 (47.977)	Prec@5 82.000 (78.518)
Epoch: [48][1810/9018]	Time 0.627 (0.617)	Data 0.001 (0.002)	Loss 2.1530 (2.0107)	Prec@1 44.000 (47.969)	Prec@5 77.500 (78.515)
Epoch: [48][1820/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 1.8543 (2.0107)	Prec@1 52.500 (47.978)	Prec@5 81.500 (78.514)
Epoch: [48][1830/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 1.7729 (2.0103)	Prec@1 54.500 (47.986)	Prec@5 83.000 (78.519)
Epoch: [48][1840/9018]	Time 0.620 (0.617)	Data 0.001 (0.002)	Loss 1.9399 (2.0102)	Prec@1 51.000 (47.988)	Prec@5 79.500 (78.524)
Epoch: [48][1850/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.0854 (2.0105)	Prec@1 46.500 (47.981)	Prec@5 78.000 (78.515)
Epoch: [48][1860/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.9208 (2.0104)	Prec@1 45.500 (47.986)	Prec@5 82.500 (78.516)
Epoch: [48][1870/9018]	Time 0.722 (0.617)	Data 0.001 (0.002)	Loss 2.0334 (2.0107)	Prec@1 49.000 (47.979)	Prec@5 76.500 (78.513)
Epoch: [48][1880/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.0683 (2.0107)	Prec@1 46.500 (47.974)	Prec@5 74.500 (78.510)
Epoch: [48][1890/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.1445 (2.0107)	Prec@1 44.000 (47.971)	Prec@5 77.000 (78.516)
Epoch: [48][1900/9018]	Time 0.620 (0.617)	Data 0.001 (0.002)	Loss 2.0214 (2.0110)	Prec@1 46.500 (47.967)	Prec@5 78.500 (78.511)
Epoch: [48][1910/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 1.8941 (2.0109)	Prec@1 52.000 (47.974)	Prec@5 78.000 (78.516)
Epoch: [48][1920/9018]	Time 0.726 (0.617)	Data 0.001 (0.002)	Loss 2.1585 (2.0110)	Prec@1 43.500 (47.972)	Prec@5 76.500 (78.512)
Epoch: [48][1930/9018]	Time 0.617 (0.617)	Data 0.001 (0.002)	Loss 2.3491 (2.0110)	Prec@1 45.500 (47.965)	Prec@5 74.500 (78.511)
Epoch: [48][1940/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.0672 (2.0114)	Prec@1 44.000 (47.954)	Prec@5 78.000 (78.506)
Epoch: [48][1950/9018]	Time 0.609 (0.617)	Data 0.001 (0.002)	Loss 2.1302 (2.0116)	Prec@1 48.000 (47.950)	Prec@5 75.000 (78.501)
Epoch: [48][1960/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 2.3630 (2.0122)	Prec@1 42.000 (47.937)	Prec@5 71.500 (78.491)
Epoch: [48][1970/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 1.8600 (2.0122)	Prec@1 50.000 (47.934)	Prec@5 78.000 (78.490)
Epoch: [48][1980/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 1.8726 (2.0121)	Prec@1 53.500 (47.933)	Prec@5 79.500 (78.482)
Epoch: [48][1990/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.7452 (2.0119)	Prec@1 55.500 (47.939)	Prec@5 82.500 (78.483)
Epoch: [48][2000/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.8018 (2.0119)	Prec@1 55.500 (47.945)	Prec@5 83.000 (78.489)
Epoch: [48][2010/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.8664 (2.0117)	Prec@1 53.000 (47.949)	Prec@5 80.000 (78.489)
Epoch: [48][2020/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.1012 (2.0120)	Prec@1 48.000 (47.938)	Prec@5 73.500 (78.483)
Epoch: [48][2030/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 2.0298 (2.0121)	Prec@1 48.000 (47.931)	Prec@5 81.500 (78.486)
Epoch: [48][2040/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.8802 (2.0125)	Prec@1 48.000 (47.924)	Prec@5 82.500 (78.482)
Epoch: [48][2050/9018]	Time 0.617 (0.617)	Data 0.001 (0.002)	Loss 1.9364 (2.0127)	Prec@1 51.000 (47.918)	Prec@5 80.500 (78.481)
Epoch: [48][2060/9018]	Time 0.635 (0.617)	Data 0.001 (0.002)	Loss 1.8185 (2.0127)	Prec@1 50.000 (47.911)	Prec@5 83.500 (78.484)
Epoch: [48][2070/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 2.0147 (2.0124)	Prec@1 47.500 (47.919)	Prec@5 79.000 (78.492)
Epoch: [48][2080/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 2.2560 (2.0126)	Prec@1 49.000 (47.915)	Prec@5 73.500 (78.490)
Epoch: [48][2090/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 2.2221 (2.0129)	Prec@1 44.500 (47.909)	Prec@5 74.000 (78.484)
Epoch: [48][2100/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.1552 (2.0132)	Prec@1 46.500 (47.906)	Prec@5 75.500 (78.479)
Epoch: [48][2110/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.1131 (2.0132)	Prec@1 46.000 (47.910)	Prec@5 76.500 (78.474)
Epoch: [48][2120/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.9390 (2.0131)	Prec@1 50.000 (47.917)	Prec@5 78.000 (78.472)
Epoch: [48][2130/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 2.1266 (2.0131)	Prec@1 49.000 (47.912)	Prec@5 77.500 (78.472)
Epoch: [48][2140/9018]	Time 0.632 (0.617)	Data 0.001 (0.002)	Loss 2.0922 (2.0134)	Prec@1 45.500 (47.907)	Prec@5 79.000 (78.468)
Epoch: [48][2150/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 1.9477 (2.0134)	Prec@1 50.500 (47.906)	Prec@5 80.000 (78.470)
Epoch: [48][2160/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 1.8878 (2.0135)	Prec@1 50.000 (47.914)	Prec@5 82.500 (78.463)
Epoch: [48][2170/9018]	Time 0.637 (0.617)	Data 0.001 (0.002)	Loss 2.1041 (2.0138)	Prec@1 45.000 (47.907)	Prec@5 76.000 (78.454)
Epoch: [48][2180/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 2.3591 (2.0140)	Prec@1 43.500 (47.902)	Prec@5 73.500 (78.448)
Epoch: [48][2190/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 1.9514 (2.0141)	Prec@1 51.000 (47.900)	Prec@5 78.000 (78.450)
Epoch: [48][2200/9018]	Time 0.731 (0.617)	Data 0.001 (0.002)	Loss 1.8605 (2.0140)	Prec@1 52.000 (47.900)	Prec@5 83.000 (78.454)
Epoch: [48][2210/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.8382 (2.0146)	Prec@1 51.500 (47.896)	Prec@5 84.500 (78.445)
Epoch: [48][2220/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 1.9202 (2.0147)	Prec@1 46.500 (47.891)	Prec@5 78.000 (78.443)
Epoch: [48][2230/9018]	Time 0.612 (0.617)	Data 0.001 (0.002)	Loss 2.1440 (2.0146)	Prec@1 47.000 (47.894)	Prec@5 76.000 (78.448)
Epoch: [48][2240/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 2.0440 (2.0144)	Prec@1 44.500 (47.898)	Prec@5 77.000 (78.448)
Epoch: [48][2250/9018]	Time 0.720 (0.617)	Data 0.001 (0.002)	Loss 2.0152 (2.0146)	Prec@1 48.500 (47.894)	Prec@5 79.500 (78.444)
Epoch: [48][2260/9018]	Time 0.615 (0.617)	Data 0.001 (0.002)	Loss 1.9546 (2.0145)	Prec@1 44.500 (47.891)	Prec@5 80.000 (78.450)
Epoch: [48][2270/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 2.1713 (2.0144)	Prec@1 40.500 (47.892)	Prec@5 77.000 (78.451)
Epoch: [48][2280/9018]	Time 0.616 (0.617)	Data 0.001 (0.002)	Loss 2.0089 (2.0145)	Prec@1 44.000 (47.888)	Prec@5 79.000 (78.445)
Epoch: [48][2290/9018]	Time 0.626 (0.617)	Data 0.001 (0.002)	Loss 2.2590 (2.0149)	Prec@1 40.000 (47.884)	Prec@5 75.000 (78.442)
Epoch: [48][2300/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 1.9777 (2.0151)	Prec@1 45.500 (47.880)	Prec@5 81.000 (78.437)
Epoch: [48][2310/9018]	Time 0.629 (0.617)	Data 0.001 (0.002)	Loss 1.8790 (2.0149)	Prec@1 49.000 (47.889)	Prec@5 82.500 (78.442)
Epoch: [48][2320/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 1.9666 (2.0151)	Prec@1 50.000 (47.885)	Prec@5 78.500 (78.439)
Epoch: [48][2330/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 1.9781 (2.0151)	Prec@1 47.500 (47.888)	Prec@5 79.500 (78.438)
Epoch: [48][2340/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 1.8808 (2.0152)	Prec@1 55.000 (47.887)	Prec@5 77.500 (78.436)
Epoch: [48][2350/9018]	Time 0.631 (0.617)	Data 0.001 (0.002)	Loss 2.1252 (2.0155)	Prec@1 45.000 (47.881)	Prec@5 78.000 (78.425)
Epoch: [48][2360/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 2.1415 (2.0160)	Prec@1 50.000 (47.873)	Prec@5 76.000 (78.419)
Epoch: [48][2370/9018]	Time 0.637 (0.617)	Data 0.001 (0.002)	Loss 2.1219 (2.0162)	Prec@1 45.000 (47.868)	Prec@5 78.000 (78.418)
Epoch: [48][2380/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.9682 (2.0164)	Prec@1 46.000 (47.864)	Prec@5 78.000 (78.411)
Epoch: [48][2390/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 1.9016 (2.0167)	Prec@1 50.500 (47.865)	Prec@5 79.000 (78.406)
Epoch: [48][2400/9018]	Time 0.631 (0.617)	Data 0.001 (0.002)	Loss 2.2254 (2.0170)	Prec@1 46.000 (47.862)	Prec@5 72.500 (78.395)
Epoch: [48][2410/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.0570 (2.0169)	Prec@1 48.500 (47.863)	Prec@5 78.500 (78.396)
Epoch: [48][2420/9018]	Time 0.608 (0.617)	Data 0.001 (0.002)	Loss 2.1482 (2.0168)	Prec@1 46.500 (47.865)	Prec@5 75.500 (78.399)
Epoch: [48][2430/9018]	Time 0.622 (0.617)	Data 0.001 (0.002)	Loss 1.8210 (2.0170)	Prec@1 51.000 (47.859)	Prec@5 82.500 (78.398)
Epoch: [48][2440/9018]	Time 0.617 (0.617)	Data 0.001 (0.002)	Loss 2.2043 (2.0172)	Prec@1 43.500 (47.859)	Prec@5 74.500 (78.395)
Epoch: [48][2450/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 1.9541 (2.0172)	Prec@1 49.000 (47.859)	Prec@5 77.500 (78.396)
Epoch: [48][2460/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.8063 (2.0172)	Prec@1 55.500 (47.862)	Prec@5 82.000 (78.396)
Epoch: [48][2470/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 2.0535 (2.0174)	Prec@1 49.500 (47.860)	Prec@5 78.500 (78.391)
Epoch: [48][2480/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 2.1953 (2.0179)	Prec@1 46.000 (47.855)	Prec@5 76.500 (78.377)
Epoch: [48][2490/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.9550 (2.0179)	Prec@1 47.000 (47.855)	Prec@5 77.500 (78.374)
Epoch: [48][2500/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.8622 (2.0181)	Prec@1 53.000 (47.853)	Prec@5 80.500 (78.370)
Epoch: [48][2510/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 2.0434 (2.0181)	Prec@1 46.500 (47.858)	Prec@5 78.000 (78.372)
Epoch: [48][2520/9018]	Time 0.642 (0.617)	Data 0.001 (0.002)	Loss 1.5316 (2.0179)	Prec@1 57.500 (47.862)	Prec@5 87.000 (78.376)
Epoch: [48][2530/9018]	Time 0.713 (0.617)	Data 0.001 (0.002)	Loss 2.1555 (2.0180)	Prec@1 45.000 (47.858)	Prec@5 75.000 (78.379)
Epoch: [48][2540/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 2.0061 (2.0184)	Prec@1 49.500 (47.849)	Prec@5 78.500 (78.368)
Epoch: [48][2550/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.9419 (2.0183)	Prec@1 48.000 (47.846)	Prec@5 78.500 (78.373)
Epoch: [48][2560/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 2.0790 (2.0185)	Prec@1 44.000 (47.840)	Prec@5 77.000 (78.369)
Epoch: [48][2570/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 2.0758 (2.0188)	Prec@1 42.000 (47.833)	Prec@5 78.000 (78.364)
Epoch: [48][2580/9018]	Time 0.724 (0.616)	Data 0.001 (0.002)	Loss 2.1982 (2.0188)	Prec@1 43.500 (47.830)	Prec@5 74.000 (78.365)
Epoch: [48][2590/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9525 (2.0189)	Prec@1 49.000 (47.835)	Prec@5 79.000 (78.364)
Epoch: [48][2600/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.8857 (2.0191)	Prec@1 51.500 (47.830)	Prec@5 83.000 (78.356)
Epoch: [48][2610/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 2.0686 (2.0192)	Prec@1 46.500 (47.829)	Prec@5 76.000 (78.354)
Epoch: [48][2620/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.0760 (2.0192)	Prec@1 47.000 (47.825)	Prec@5 77.000 (78.352)
Epoch: [48][2630/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 1.9211 (2.0191)	Prec@1 51.000 (47.828)	Prec@5 79.000 (78.350)
Epoch: [48][2640/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.8716 (2.0191)	Prec@1 53.500 (47.828)	Prec@5 80.000 (78.350)
Epoch: [48][2650/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.8578 (2.0192)	Prec@1 55.000 (47.829)	Prec@5 80.500 (78.346)
Epoch: [48][2660/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.9600 (2.0192)	Prec@1 49.000 (47.826)	Prec@5 79.500 (78.343)
Epoch: [48][2670/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 2.0595 (2.0195)	Prec@1 49.500 (47.823)	Prec@5 76.000 (78.338)
Epoch: [48][2680/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.8907 (2.0194)	Prec@1 50.500 (47.823)	Prec@5 82.500 (78.343)
Epoch: [48][2690/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.8955 (2.0194)	Prec@1 48.000 (47.824)	Prec@5 80.000 (78.344)
Epoch: [48][2700/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.1120 (2.0196)	Prec@1 44.000 (47.816)	Prec@5 77.500 (78.338)
Epoch: [48][2710/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9479 (2.0194)	Prec@1 49.500 (47.823)	Prec@5 79.000 (78.340)
Epoch: [48][2720/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1647 (2.0194)	Prec@1 43.500 (47.817)	Prec@5 79.000 (78.344)
Epoch: [48][2730/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1012 (2.0193)	Prec@1 45.500 (47.820)	Prec@5 76.500 (78.346)
Epoch: [48][2740/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.0993 (2.0194)	Prec@1 48.500 (47.818)	Prec@5 75.500 (78.345)
Epoch: [48][2750/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.0291 (2.0196)	Prec@1 45.500 (47.815)	Prec@5 75.000 (78.346)
Epoch: [48][2760/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9944 (2.0195)	Prec@1 47.500 (47.818)	Prec@5 78.000 (78.347)
Epoch: [48][2770/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.0430 (2.0195)	Prec@1 50.500 (47.816)	Prec@5 78.500 (78.346)
Epoch: [48][2780/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 2.1135 (2.0198)	Prec@1 46.500 (47.808)	Prec@5 75.500 (78.344)
Epoch: [48][2790/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 2.0200 (2.0198)	Prec@1 48.000 (47.808)	Prec@5 78.500 (78.347)
Epoch: [48][2800/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 1.9743 (2.0198)	Prec@1 49.500 (47.804)	Prec@5 80.500 (78.347)
Epoch: [48][2810/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 2.1182 (2.0199)	Prec@1 44.500 (47.801)	Prec@5 75.000 (78.345)
Epoch: [48][2820/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 2.3208 (2.0201)	Prec@1 44.000 (47.798)	Prec@5 71.000 (78.340)
Epoch: [48][2830/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.8260 (2.0201)	Prec@1 55.500 (47.799)	Prec@5 79.500 (78.338)
Epoch: [48][2840/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.9996 (2.0201)	Prec@1 49.000 (47.798)	Prec@5 79.000 (78.334)
Epoch: [48][2850/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 2.0208 (2.0200)	Prec@1 50.000 (47.801)	Prec@5 79.000 (78.334)
Epoch: [48][2860/9018]	Time 0.751 (0.616)	Data 0.001 (0.002)	Loss 2.1923 (2.0200)	Prec@1 40.500 (47.801)	Prec@5 76.000 (78.335)
Epoch: [48][2870/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.9365 (2.0201)	Prec@1 49.500 (47.800)	Prec@5 78.500 (78.331)
Epoch: [48][2880/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.9320 (2.0200)	Prec@1 51.000 (47.802)	Prec@5 81.000 (78.333)
Epoch: [48][2890/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 2.0745 (2.0202)	Prec@1 49.000 (47.797)	Prec@5 76.500 (78.328)
Epoch: [48][2900/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.6759 (2.0201)	Prec@1 56.500 (47.802)	Prec@5 80.500 (78.332)
Epoch: [48][2910/9018]	Time 0.747 (0.616)	Data 0.001 (0.002)	Loss 1.8629 (2.0200)	Prec@1 50.500 (47.802)	Prec@5 79.000 (78.334)
Epoch: [48][2920/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 2.1282 (2.0200)	Prec@1 45.000 (47.800)	Prec@5 75.500 (78.338)
Epoch: [48][2930/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 2.1025 (2.0202)	Prec@1 46.500 (47.794)	Prec@5 75.500 (78.335)
Epoch: [48][2940/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.8651 (2.0200)	Prec@1 53.000 (47.795)	Prec@5 82.000 (78.340)
Epoch: [48][2950/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.7443 (2.0200)	Prec@1 54.500 (47.798)	Prec@5 82.000 (78.341)
Epoch: [48][2960/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1164 (2.0201)	Prec@1 45.500 (47.793)	Prec@5 78.500 (78.341)
Epoch: [48][2970/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.9374 (2.0203)	Prec@1 51.000 (47.794)	Prec@5 78.000 (78.335)
Epoch: [48][2980/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.0999 (2.0203)	Prec@1 44.500 (47.792)	Prec@5 76.500 (78.333)
Epoch: [48][2990/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 2.0720 (2.0203)	Prec@1 50.500 (47.792)	Prec@5 73.500 (78.333)
Epoch: [48][3000/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.9894 (2.0204)	Prec@1 49.000 (47.787)	Prec@5 77.000 (78.326)
Epoch: [48][3010/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.0629 (2.0206)	Prec@1 47.000 (47.782)	Prec@5 73.500 (78.324)
Epoch: [48][3020/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.9594 (2.0207)	Prec@1 51.000 (47.780)	Prec@5 78.500 (78.324)
Epoch: [48][3030/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 2.1743 (2.0208)	Prec@1 48.500 (47.777)	Prec@5 73.500 (78.321)
Epoch: [48][3040/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.9530 (2.0208)	Prec@1 50.500 (47.774)	Prec@5 79.500 (78.322)
Epoch: [48][3050/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.9531 (2.0208)	Prec@1 49.000 (47.779)	Prec@5 80.500 (78.323)
Epoch: [48][3060/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 2.0169 (2.0206)	Prec@1 46.500 (47.786)	Prec@5 80.000 (78.328)
Epoch: [48][3070/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 2.0967 (2.0205)	Prec@1 44.000 (47.787)	Prec@5 79.500 (78.330)
Epoch: [48][3080/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 2.1114 (2.0204)	Prec@1 45.000 (47.790)	Prec@5 77.500 (78.332)
Epoch: [48][3090/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 2.1659 (2.0205)	Prec@1 48.500 (47.783)	Prec@5 75.000 (78.333)
Epoch: [48][3100/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 2.0384 (2.0204)	Prec@1 47.000 (47.784)	Prec@5 78.500 (78.338)
Epoch: [48][3110/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.0805 (2.0204)	Prec@1 46.500 (47.781)	Prec@5 78.000 (78.341)
Epoch: [48][3120/9018]	Time 0.591 (0.616)	Data 0.001 (0.001)	Loss 2.1076 (2.0205)	Prec@1 45.500 (47.777)	Prec@5 73.500 (78.337)
Epoch: [48][3130/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0014 (2.0204)	Prec@1 49.000 (47.778)	Prec@5 77.000 (78.338)
Epoch: [48][3140/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.8465 (2.0206)	Prec@1 49.500 (47.777)	Prec@5 81.500 (78.337)
Epoch: [48][3150/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 1.9382 (2.0207)	Prec@1 53.500 (47.771)	Prec@5 78.000 (78.334)
Epoch: [48][3160/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.1493 (2.0207)	Prec@1 43.500 (47.772)	Prec@5 78.000 (78.334)
Epoch: [48][3170/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.8938 (2.0207)	Prec@1 49.500 (47.777)	Prec@5 78.500 (78.337)
Epoch: [48][3180/9018]	Time 0.595 (0.616)	Data 0.001 (0.001)	Loss 2.2345 (2.0206)	Prec@1 43.000 (47.779)	Prec@5 76.000 (78.337)
Epoch: [48][3190/9018]	Time 0.717 (0.616)	Data 0.001 (0.001)	Loss 1.8529 (2.0207)	Prec@1 51.000 (47.775)	Prec@5 81.500 (78.335)
Epoch: [48][3200/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.0016 (2.0206)	Prec@1 47.500 (47.776)	Prec@5 77.500 (78.334)
Epoch: [48][3210/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 2.3448 (2.0210)	Prec@1 41.500 (47.772)	Prec@5 69.500 (78.328)
Epoch: [48][3220/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 2.0697 (2.0208)	Prec@1 51.000 (47.774)	Prec@5 76.000 (78.331)
Epoch: [48][3230/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.2214 (2.0210)	Prec@1 42.500 (47.771)	Prec@5 74.500 (78.327)
Epoch: [48][3240/9018]	Time 0.730 (0.616)	Data 0.001 (0.001)	Loss 2.0785 (2.0209)	Prec@1 45.500 (47.772)	Prec@5 78.000 (78.328)
Epoch: [48][3250/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 2.2028 (2.0208)	Prec@1 42.500 (47.772)	Prec@5 76.500 (78.330)
Epoch: [48][3260/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 2.1169 (2.0208)	Prec@1 46.500 (47.774)	Prec@5 76.500 (78.329)
Epoch: [48][3270/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 1.9106 (2.0210)	Prec@1 48.000 (47.773)	Prec@5 79.500 (78.324)
Epoch: [48][3280/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0597 (2.0209)	Prec@1 49.000 (47.773)	Prec@5 76.000 (78.325)
Epoch: [48][3290/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1219 (2.0209)	Prec@1 48.000 (47.775)	Prec@5 75.000 (78.325)
Epoch: [48][3300/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.9587 (2.0209)	Prec@1 49.000 (47.774)	Prec@5 81.500 (78.327)
Epoch: [48][3310/9018]	Time 0.597 (0.616)	Data 0.001 (0.001)	Loss 2.0077 (2.0207)	Prec@1 50.500 (47.781)	Prec@5 77.000 (78.332)
Epoch: [48][3320/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 1.9650 (2.0207)	Prec@1 49.500 (47.780)	Prec@5 79.000 (78.330)
Epoch: [48][3330/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0038 (2.0207)	Prec@1 48.500 (47.782)	Prec@5 80.500 (78.329)
Epoch: [48][3340/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.9822 (2.0207)	Prec@1 51.000 (47.783)	Prec@5 77.500 (78.329)
Epoch: [48][3350/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.0719 (2.0207)	Prec@1 47.000 (47.784)	Prec@5 76.000 (78.326)
Epoch: [48][3360/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1040 (2.0207)	Prec@1 47.000 (47.786)	Prec@5 76.500 (78.326)
Epoch: [48][3370/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.9014 (2.0209)	Prec@1 49.500 (47.783)	Prec@5 80.000 (78.321)
Epoch: [48][3380/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1235 (2.0208)	Prec@1 45.500 (47.783)	Prec@5 77.000 (78.325)
Epoch: [48][3390/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.0671 (2.0210)	Prec@1 45.500 (47.783)	Prec@5 76.500 (78.323)
Epoch: [48][3400/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.7689 (2.0209)	Prec@1 52.000 (47.783)	Prec@5 83.500 (78.329)
Epoch: [48][3410/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 2.0200 (2.0209)	Prec@1 52.000 (47.784)	Prec@5 76.500 (78.330)
Epoch: [48][3420/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1975 (2.0210)	Prec@1 44.000 (47.784)	Prec@5 73.500 (78.326)
Epoch: [48][3430/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.9460 (2.0208)	Prec@1 54.000 (47.789)	Prec@5 78.000 (78.333)
Epoch: [48][3440/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.0916 (2.0207)	Prec@1 48.000 (47.789)	Prec@5 75.500 (78.335)
Epoch: [48][3450/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.8752 (2.0209)	Prec@1 52.000 (47.788)	Prec@5 78.500 (78.331)
Epoch: [48][3460/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.9413 (2.0207)	Prec@1 49.000 (47.792)	Prec@5 81.500 (78.338)
Epoch: [48][3470/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.8464 (2.0208)	Prec@1 53.000 (47.792)	Prec@5 83.500 (78.335)
Epoch: [48][3480/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 2.1255 (2.0206)	Prec@1 43.500 (47.790)	Prec@5 78.000 (78.336)
Epoch: [48][3490/9018]	Time 0.594 (0.616)	Data 0.002 (0.001)	Loss 1.8699 (2.0208)	Prec@1 52.500 (47.791)	Prec@5 76.500 (78.332)
Epoch: [48][3500/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.9334 (2.0206)	Prec@1 46.000 (47.791)	Prec@5 81.000 (78.332)
Epoch: [48][3510/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.3006 (2.0208)	Prec@1 41.000 (47.788)	Prec@5 73.500 (78.330)
Epoch: [48][3520/9018]	Time 0.718 (0.616)	Data 0.001 (0.001)	Loss 2.1889 (2.0208)	Prec@1 45.500 (47.791)	Prec@5 78.000 (78.328)
Epoch: [48][3530/9018]	Time 0.590 (0.616)	Data 0.001 (0.001)	Loss 2.1394 (2.0207)	Prec@1 46.000 (47.795)	Prec@5 77.500 (78.328)
Epoch: [48][3540/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.9056 (2.0207)	Prec@1 47.000 (47.797)	Prec@5 78.500 (78.326)
Epoch: [48][3550/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 1.6235 (2.0205)	Prec@1 55.000 (47.799)	Prec@5 83.500 (78.328)
Epoch: [48][3560/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0854 (2.0205)	Prec@1 47.000 (47.801)	Prec@5 77.500 (78.325)
Epoch: [48][3570/9018]	Time 0.720 (0.616)	Data 0.001 (0.001)	Loss 1.9810 (2.0206)	Prec@1 46.000 (47.799)	Prec@5 80.000 (78.328)
Epoch: [48][3580/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 2.0167 (2.0207)	Prec@1 50.000 (47.798)	Prec@5 76.000 (78.326)
Epoch: [48][3590/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.0741 (2.0209)	Prec@1 48.500 (47.796)	Prec@5 78.500 (78.324)
Epoch: [48][3600/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 1.8276 (2.0208)	Prec@1 52.500 (47.797)	Prec@5 81.000 (78.324)
Epoch: [48][3610/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 1.8990 (2.0210)	Prec@1 51.000 (47.792)	Prec@5 80.500 (78.320)
Epoch: [48][3620/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.1773 (2.0212)	Prec@1 45.000 (47.789)	Prec@5 75.500 (78.318)
Epoch: [48][3630/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 2.1728 (2.0211)	Prec@1 40.500 (47.791)	Prec@5 76.500 (78.316)
Epoch: [48][3640/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.1724 (2.0211)	Prec@1 45.500 (47.795)	Prec@5 78.000 (78.316)
Epoch: [48][3650/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 2.0491 (2.0211)	Prec@1 44.500 (47.795)	Prec@5 77.500 (78.311)
Epoch: [48][3660/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 2.0835 (2.0213)	Prec@1 49.000 (47.790)	Prec@5 74.500 (78.307)
Epoch: [48][3670/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1856 (2.0216)	Prec@1 43.500 (47.785)	Prec@5 78.500 (78.303)
Epoch: [48][3680/9018]	Time 0.600 (0.616)	Data 0.001 (0.001)	Loss 2.2992 (2.0217)	Prec@1 45.000 (47.783)	Prec@5 72.000 (78.305)
Epoch: [48][3690/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.8546 (2.0214)	Prec@1 52.000 (47.790)	Prec@5 83.000 (78.309)
Epoch: [48][3700/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.9917 (2.0215)	Prec@1 45.500 (47.788)	Prec@5 77.000 (78.309)
Epoch: [48][3710/9018]	Time 0.594 (0.616)	Data 0.001 (0.001)	Loss 1.7869 (2.0215)	Prec@1 51.000 (47.786)	Prec@5 79.500 (78.307)
Epoch: [48][3720/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 2.1035 (2.0215)	Prec@1 44.000 (47.785)	Prec@5 80.500 (78.311)
Epoch: [48][3730/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.0493 (2.0216)	Prec@1 48.500 (47.783)	Prec@5 79.000 (78.310)
Epoch: [48][3740/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9162 (2.0216)	Prec@1 48.500 (47.783)	Prec@5 82.500 (78.311)
Epoch: [48][3750/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8828 (2.0214)	Prec@1 51.000 (47.786)	Prec@5 81.500 (78.313)
Epoch: [48][3760/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0271 (2.0216)	Prec@1 45.500 (47.784)	Prec@5 79.500 (78.311)
Epoch: [48][3770/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0341 (2.0215)	Prec@1 45.000 (47.784)	Prec@5 79.500 (78.311)
Epoch: [48][3780/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0008 (2.0216)	Prec@1 43.500 (47.782)	Prec@5 80.000 (78.308)
Epoch: [48][3790/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9842 (2.0215)	Prec@1 52.000 (47.784)	Prec@5 79.000 (78.306)
Epoch: [48][3800/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9906 (2.0217)	Prec@1 49.000 (47.782)	Prec@5 78.500 (78.301)
Epoch: [48][3810/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9345 (2.0215)	Prec@1 48.000 (47.783)	Prec@5 81.000 (78.303)
Epoch: [48][3820/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1029 (2.0216)	Prec@1 42.000 (47.783)	Prec@5 78.500 (78.301)
Epoch: [48][3830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1397 (2.0216)	Prec@1 46.500 (47.786)	Prec@5 77.000 (78.299)
Epoch: [48][3840/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.9111 (2.0216)	Prec@1 48.500 (47.788)	Prec@5 81.500 (78.300)
Epoch: [48][3850/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.0210 (2.0216)	Prec@1 49.500 (47.787)	Prec@5 82.000 (78.300)
Epoch: [48][3860/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8947 (2.0215)	Prec@1 48.000 (47.789)	Prec@5 80.000 (78.302)
Epoch: [48][3870/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9765 (2.0215)	Prec@1 47.000 (47.792)	Prec@5 78.000 (78.301)
Epoch: [48][3880/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9855 (2.0215)	Prec@1 47.500 (47.791)	Prec@5 78.500 (78.300)
Epoch: [48][3890/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9254 (2.0214)	Prec@1 51.500 (47.793)	Prec@5 78.000 (78.299)
Epoch: [48][3900/9018]	Time 0.747 (0.615)	Data 0.001 (0.001)	Loss 1.8634 (2.0213)	Prec@1 56.000 (47.798)	Prec@5 80.500 (78.303)
Epoch: [48][3910/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.9298 (2.0214)	Prec@1 49.500 (47.798)	Prec@5 79.500 (78.300)
Epoch: [48][3920/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1031 (2.0215)	Prec@1 46.500 (47.800)	Prec@5 77.000 (78.299)
Epoch: [48][3930/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.8962 (2.0215)	Prec@1 46.000 (47.796)	Prec@5 82.000 (78.298)
Epoch: [48][3940/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8733 (2.0217)	Prec@1 56.000 (47.797)	Prec@5 78.500 (78.295)
Epoch: [48][3950/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1178 (2.0217)	Prec@1 45.500 (47.799)	Prec@5 77.500 (78.292)
Epoch: [48][3960/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8257 (2.0216)	Prec@1 49.500 (47.801)	Prec@5 84.500 (78.293)
Epoch: [48][3970/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1874 (2.0218)	Prec@1 44.000 (47.799)	Prec@5 76.000 (78.291)
Epoch: [48][3980/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.3198 (2.0217)	Prec@1 46.000 (47.800)	Prec@5 70.000 (78.294)
Epoch: [48][3990/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.7683 (2.0216)	Prec@1 57.000 (47.802)	Prec@5 81.000 (78.296)
Epoch: [48][4000/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0871 (2.0217)	Prec@1 47.500 (47.796)	Prec@5 78.000 (78.292)
Epoch: [48][4010/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.0510 (2.0215)	Prec@1 44.000 (47.800)	Prec@5 76.500 (78.297)
Epoch: [48][4020/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1780 (2.0215)	Prec@1 40.500 (47.796)	Prec@5 78.000 (78.297)
Epoch: [48][4030/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9371 (2.0215)	Prec@1 48.000 (47.798)	Prec@5 78.500 (78.298)
Epoch: [48][4040/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1936 (2.0213)	Prec@1 49.000 (47.802)	Prec@5 75.500 (78.303)
Epoch: [48][4050/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.0623 (2.0214)	Prec@1 44.500 (47.804)	Prec@5 76.500 (78.300)
Epoch: [48][4060/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.8688 (2.0212)	Prec@1 53.000 (47.809)	Prec@5 77.500 (78.303)
Epoch: [48][4070/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9899 (2.0212)	Prec@1 43.000 (47.810)	Prec@5 81.500 (78.304)
Epoch: [48][4080/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9443 (2.0211)	Prec@1 50.000 (47.813)	Prec@5 77.500 (78.303)
Epoch: [48][4090/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.8567 (2.0210)	Prec@1 50.000 (47.816)	Prec@5 82.500 (78.305)
Epoch: [48][4100/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0170 (2.0210)	Prec@1 50.000 (47.817)	Prec@5 77.500 (78.305)
Epoch: [48][4110/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1214 (2.0210)	Prec@1 48.500 (47.815)	Prec@5 76.000 (78.304)
Epoch: [48][4120/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1793 (2.0209)	Prec@1 48.500 (47.818)	Prec@5 76.500 (78.307)
Epoch: [48][4130/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 2.2374 (2.0210)	Prec@1 40.500 (47.818)	Prec@5 76.000 (78.304)
Epoch: [48][4140/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9817 (2.0209)	Prec@1 49.500 (47.821)	Prec@5 77.500 (78.307)
Epoch: [48][4150/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0754 (2.0208)	Prec@1 49.000 (47.823)	Prec@5 76.500 (78.309)
Epoch: [48][4160/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9744 (2.0207)	Prec@1 47.500 (47.824)	Prec@5 79.000 (78.308)
Epoch: [48][4170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9868 (2.0208)	Prec@1 47.000 (47.824)	Prec@5 78.000 (78.308)
Epoch: [48][4180/9018]	Time 0.755 (0.615)	Data 0.001 (0.001)	Loss 2.1881 (2.0208)	Prec@1 44.500 (47.824)	Prec@5 75.000 (78.309)
Epoch: [48][4190/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0087 (2.0207)	Prec@1 43.500 (47.826)	Prec@5 77.500 (78.312)
Epoch: [48][4200/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.1959 (2.0205)	Prec@1 46.000 (47.829)	Prec@5 73.500 (78.314)
Epoch: [48][4210/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1518 (2.0205)	Prec@1 43.000 (47.827)	Prec@5 75.000 (78.315)
Epoch: [48][4220/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0411 (2.0204)	Prec@1 50.000 (47.829)	Prec@5 76.500 (78.314)
Epoch: [48][4230/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 2.0183 (2.0204)	Prec@1 50.500 (47.830)	Prec@5 79.000 (78.313)
Epoch: [48][4240/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9255 (2.0203)	Prec@1 49.500 (47.832)	Prec@5 79.500 (78.316)
Epoch: [48][4250/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1225 (2.0204)	Prec@1 47.000 (47.828)	Prec@5 75.000 (78.314)
Epoch: [48][4260/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0208 (2.0203)	Prec@1 49.500 (47.830)	Prec@5 79.000 (78.317)
Epoch: [48][4270/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1404 (2.0203)	Prec@1 42.500 (47.827)	Prec@5 73.500 (78.315)
Epoch: [48][4280/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0063 (2.0203)	Prec@1 52.000 (47.830)	Prec@5 79.000 (78.315)
Epoch: [48][4290/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0942 (2.0202)	Prec@1 47.500 (47.834)	Prec@5 78.000 (78.316)
Epoch: [48][4300/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0405 (2.0201)	Prec@1 47.500 (47.834)	Prec@5 77.000 (78.316)
Epoch: [48][4310/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.2537 (2.0201)	Prec@1 43.500 (47.834)	Prec@5 74.000 (78.319)
Epoch: [48][4320/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2100 (2.0201)	Prec@1 46.000 (47.834)	Prec@5 74.000 (78.320)
Epoch: [48][4330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0763 (2.0201)	Prec@1 45.500 (47.835)	Prec@5 76.500 (78.318)
Epoch: [48][4340/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8639 (2.0200)	Prec@1 51.000 (47.837)	Prec@5 84.000 (78.317)
Epoch: [48][4350/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.0789 (2.0200)	Prec@1 43.000 (47.838)	Prec@5 81.000 (78.321)
Epoch: [48][4360/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0142 (2.0201)	Prec@1 46.000 (47.837)	Prec@5 80.000 (78.320)
Epoch: [48][4370/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2146 (2.0202)	Prec@1 47.500 (47.835)	Prec@5 74.000 (78.318)
Epoch: [48][4380/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0595 (2.0202)	Prec@1 44.000 (47.835)	Prec@5 78.000 (78.318)
Epoch: [48][4390/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7297 (2.0203)	Prec@1 54.500 (47.831)	Prec@5 83.500 (78.315)
Epoch: [48][4400/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1090 (2.0203)	Prec@1 48.000 (47.830)	Prec@5 79.000 (78.317)
Epoch: [48][4410/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.8480 (2.0201)	Prec@1 50.500 (47.829)	Prec@5 82.500 (78.320)
Epoch: [48][4420/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.2206 (2.0202)	Prec@1 40.500 (47.827)	Prec@5 75.000 (78.318)
Epoch: [48][4430/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2682 (2.0203)	Prec@1 43.000 (47.825)	Prec@5 73.500 (78.319)
Epoch: [48][4440/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.1500 (2.0204)	Prec@1 48.500 (47.821)	Prec@5 76.500 (78.318)
Epoch: [48][4450/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.8397 (2.0205)	Prec@1 53.500 (47.822)	Prec@5 82.500 (78.318)
Epoch: [48][4460/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.1279 (2.0206)	Prec@1 45.000 (47.818)	Prec@5 75.500 (78.316)
Epoch: [48][4470/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9458 (2.0206)	Prec@1 47.500 (47.819)	Prec@5 80.500 (78.317)
Epoch: [48][4480/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0339 (2.0207)	Prec@1 48.000 (47.816)	Prec@5 79.000 (78.315)
Epoch: [48][4490/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9089 (2.0207)	Prec@1 54.000 (47.816)	Prec@5 81.500 (78.315)
Epoch: [48][4500/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0231 (2.0206)	Prec@1 49.000 (47.818)	Prec@5 78.500 (78.316)
Epoch: [48][4510/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 1.9067 (2.0206)	Prec@1 47.500 (47.818)	Prec@5 82.000 (78.317)
Epoch: [48][4520/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9679 (2.0207)	Prec@1 46.000 (47.816)	Prec@5 79.500 (78.316)
Epoch: [48][4530/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.9377 (2.0206)	Prec@1 48.000 (47.818)	Prec@5 80.500 (78.317)
Epoch: [48][4540/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6526 (2.0203)	Prec@1 52.500 (47.820)	Prec@5 85.000 (78.323)
Epoch: [48][4550/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9294 (2.0204)	Prec@1 47.500 (47.820)	Prec@5 79.000 (78.321)
Epoch: [48][4560/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 1.9778 (2.0204)	Prec@1 45.500 (47.820)	Prec@5 78.500 (78.324)
Epoch: [48][4570/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0265 (2.0204)	Prec@1 46.500 (47.820)	Prec@5 73.000 (78.323)
Epoch: [48][4580/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0336 (2.0206)	Prec@1 50.000 (47.818)	Prec@5 78.000 (78.318)
Epoch: [48][4590/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9055 (2.0206)	Prec@1 46.000 (47.817)	Prec@5 81.000 (78.318)
Epoch: [48][4600/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8966 (2.0206)	Prec@1 51.000 (47.816)	Prec@5 81.500 (78.318)
Epoch: [48][4610/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9948 (2.0205)	Prec@1 50.500 (47.815)	Prec@5 78.500 (78.318)
Epoch: [48][4620/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7940 (2.0206)	Prec@1 54.500 (47.817)	Prec@5 79.500 (78.316)
Epoch: [48][4630/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1794 (2.0208)	Prec@1 46.500 (47.813)	Prec@5 74.500 (78.313)
Epoch: [48][4640/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0748 (2.0209)	Prec@1 46.000 (47.811)	Prec@5 80.500 (78.313)
Epoch: [48][4650/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.2294 (2.0210)	Prec@1 47.500 (47.806)	Prec@5 74.000 (78.312)
Epoch: [48][4660/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1233 (2.0211)	Prec@1 45.000 (47.804)	Prec@5 75.000 (78.310)
Epoch: [48][4670/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9396 (2.0211)	Prec@1 48.500 (47.805)	Prec@5 79.000 (78.310)
Epoch: [48][4680/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0187 (2.0211)	Prec@1 51.000 (47.804)	Prec@5 77.500 (78.308)
Epoch: [48][4690/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0992 (2.0213)	Prec@1 48.000 (47.802)	Prec@5 79.000 (78.307)
Epoch: [48][4700/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8304 (2.0211)	Prec@1 48.000 (47.801)	Prec@5 83.500 (78.311)
Epoch: [48][4710/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0269 (2.0212)	Prec@1 47.000 (47.798)	Prec@5 80.500 (78.308)
Epoch: [48][4720/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.9441 (2.0212)	Prec@1 48.500 (47.798)	Prec@5 83.000 (78.308)
Epoch: [48][4730/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8908 (2.0214)	Prec@1 51.500 (47.795)	Prec@5 84.000 (78.307)
Epoch: [48][4740/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8042 (2.0213)	Prec@1 54.000 (47.798)	Prec@5 82.000 (78.305)
Epoch: [48][4750/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9880 (2.0214)	Prec@1 49.000 (47.797)	Prec@5 78.500 (78.303)
Epoch: [48][4760/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9926 (2.0214)	Prec@1 48.500 (47.795)	Prec@5 77.000 (78.301)
Epoch: [48][4770/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.0599 (2.0216)	Prec@1 50.000 (47.794)	Prec@5 74.500 (78.299)
Epoch: [48][4780/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6383 (2.0214)	Prec@1 57.000 (47.798)	Prec@5 83.500 (78.302)
Epoch: [48][4790/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7912 (2.0213)	Prec@1 52.000 (47.799)	Prec@5 80.500 (78.301)
Epoch: [48][4800/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1557 (2.0213)	Prec@1 46.500 (47.801)	Prec@5 76.000 (78.300)
Epoch: [48][4810/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7782 (2.0213)	Prec@1 53.000 (47.802)	Prec@5 82.000 (78.301)
Epoch: [48][4820/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8100 (2.0212)	Prec@1 52.500 (47.804)	Prec@5 80.500 (78.302)
Epoch: [48][4830/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9404 (2.0213)	Prec@1 51.000 (47.801)	Prec@5 80.000 (78.300)
Epoch: [48][4840/9018]	Time 0.754 (0.615)	Data 0.001 (0.001)	Loss 2.0381 (2.0213)	Prec@1 48.000 (47.803)	Prec@5 78.000 (78.299)
Epoch: [48][4850/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.0488 (2.0213)	Prec@1 52.500 (47.805)	Prec@5 79.500 (78.303)
Epoch: [48][4860/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8255 (2.0212)	Prec@1 55.500 (47.811)	Prec@5 82.500 (78.305)
Epoch: [48][4870/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9729 (2.0213)	Prec@1 49.500 (47.809)	Prec@5 79.500 (78.302)
Epoch: [48][4880/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.9630 (2.0213)	Prec@1 52.500 (47.809)	Prec@5 77.500 (78.300)
Epoch: [48][4890/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.0790 (2.0213)	Prec@1 40.500 (47.808)	Prec@5 81.500 (78.301)
Epoch: [48][4900/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 2.1181 (2.0213)	Prec@1 47.500 (47.810)	Prec@5 78.500 (78.300)
Epoch: [48][4910/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0283 (2.0213)	Prec@1 46.000 (47.810)	Prec@5 77.500 (78.298)
Epoch: [48][4920/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0450 (2.0215)	Prec@1 46.500 (47.804)	Prec@5 78.000 (78.297)
Epoch: [48][4930/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0559 (2.0215)	Prec@1 45.500 (47.802)	Prec@5 81.500 (78.297)
Epoch: [48][4940/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0013 (2.0215)	Prec@1 47.500 (47.802)	Prec@5 76.000 (78.297)
Epoch: [48][4950/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.8885 (2.0215)	Prec@1 51.000 (47.800)	Prec@5 80.500 (78.295)
Epoch: [48][4960/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.8216 (2.0217)	Prec@1 52.000 (47.796)	Prec@5 82.500 (78.290)
Epoch: [48][4970/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9445 (2.0216)	Prec@1 50.500 (47.801)	Prec@5 78.500 (78.290)
Epoch: [48][4980/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1992 (2.0217)	Prec@1 46.000 (47.800)	Prec@5 74.500 (78.290)
Epoch: [48][4990/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 2.0075 (2.0216)	Prec@1 43.000 (47.802)	Prec@5 78.500 (78.292)
Epoch: [48][5000/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9663 (2.0215)	Prec@1 50.500 (47.803)	Prec@5 81.000 (78.296)
Epoch: [48][5010/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0236 (2.0216)	Prec@1 50.000 (47.804)	Prec@5 74.500 (78.294)
Epoch: [48][5020/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.0644 (2.0216)	Prec@1 46.500 (47.805)	Prec@5 77.500 (78.294)
Epoch: [48][5030/9018]	Time 0.617 (0.614)	Data 0.001 (0.001)	Loss 2.0531 (2.0216)	Prec@1 51.500 (47.806)	Prec@5 78.000 (78.293)
Epoch: [48][5040/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1928 (2.0216)	Prec@1 47.500 (47.810)	Prec@5 71.500 (78.293)
Epoch: [48][5050/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0223 (2.0217)	Prec@1 47.000 (47.809)	Prec@5 76.500 (78.289)
Epoch: [48][5060/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.1030 (2.0217)	Prec@1 44.000 (47.808)	Prec@5 76.500 (78.293)
Epoch: [48][5070/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.8899 (2.0216)	Prec@1 46.500 (47.808)	Prec@5 82.500 (78.295)
Epoch: [48][5080/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.3442 (2.0217)	Prec@1 42.500 (47.806)	Prec@5 70.500 (78.291)
Epoch: [48][5090/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0382 (2.0217)	Prec@1 48.500 (47.807)	Prec@5 82.000 (78.294)
Epoch: [48][5100/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.1356 (2.0216)	Prec@1 43.000 (47.806)	Prec@5 79.500 (78.298)
Epoch: [48][5110/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.8839 (2.0216)	Prec@1 46.500 (47.807)	Prec@5 81.000 (78.298)
Epoch: [48][5120/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9590 (2.0216)	Prec@1 50.500 (47.806)	Prec@5 78.500 (78.297)
Epoch: [48][5130/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1422 (2.0216)	Prec@1 43.500 (47.804)	Prec@5 77.500 (78.295)
Epoch: [48][5140/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1351 (2.0216)	Prec@1 45.500 (47.805)	Prec@5 78.500 (78.297)
Epoch: [48][5150/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0563 (2.0215)	Prec@1 48.500 (47.808)	Prec@5 79.500 (78.298)
Epoch: [48][5160/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9791 (2.0215)	Prec@1 50.000 (47.808)	Prec@5 79.500 (78.298)
Epoch: [48][5170/9018]	Time 0.722 (0.614)	Data 0.001 (0.001)	Loss 2.1866 (2.0215)	Prec@1 46.500 (47.810)	Prec@5 74.000 (78.297)
Epoch: [48][5180/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9612 (2.0216)	Prec@1 48.000 (47.810)	Prec@5 81.000 (78.299)
Epoch: [48][5190/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0016 (2.0216)	Prec@1 43.500 (47.808)	Prec@5 80.500 (78.299)
Epoch: [48][5200/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 1.9503 (2.0216)	Prec@1 49.000 (47.807)	Prec@5 81.500 (78.300)
Epoch: [48][5210/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9431 (2.0215)	Prec@1 45.000 (47.809)	Prec@5 82.000 (78.302)
Epoch: [48][5220/9018]	Time 0.729 (0.614)	Data 0.001 (0.001)	Loss 1.9259 (2.0214)	Prec@1 51.500 (47.811)	Prec@5 84.000 (78.303)
Epoch: [48][5230/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.1085 (2.0214)	Prec@1 44.500 (47.812)	Prec@5 79.500 (78.305)
Epoch: [48][5240/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0233 (2.0215)	Prec@1 47.500 (47.810)	Prec@5 79.000 (78.303)
Epoch: [48][5250/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.0856 (2.0214)	Prec@1 45.000 (47.810)	Prec@5 78.000 (78.304)
Epoch: [48][5260/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0481 (2.0216)	Prec@1 44.000 (47.810)	Prec@5 79.000 (78.302)
Epoch: [48][5270/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 1.8548 (2.0215)	Prec@1 51.000 (47.812)	Prec@5 78.500 (78.302)
Epoch: [48][5280/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1407 (2.0214)	Prec@1 43.000 (47.814)	Prec@5 72.500 (78.301)
Epoch: [48][5290/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0824 (2.0214)	Prec@1 49.500 (47.816)	Prec@5 77.500 (78.301)
Epoch: [48][5300/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.0560 (2.0214)	Prec@1 49.000 (47.816)	Prec@5 76.500 (78.301)
Epoch: [48][5310/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0512 (2.0215)	Prec@1 46.000 (47.815)	Prec@5 77.000 (78.301)
Epoch: [48][5320/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.8735 (2.0215)	Prec@1 50.000 (47.814)	Prec@5 83.000 (78.302)
Epoch: [48][5330/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.2222 (2.0215)	Prec@1 44.500 (47.816)	Prec@5 74.500 (78.303)
Epoch: [48][5340/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9411 (2.0216)	Prec@1 48.500 (47.816)	Prec@5 77.000 (78.300)
Epoch: [48][5350/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9616 (2.0215)	Prec@1 50.500 (47.815)	Prec@5 77.000 (78.300)
Epoch: [48][5360/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0590 (2.0217)	Prec@1 44.500 (47.813)	Prec@5 78.500 (78.298)
Epoch: [48][5370/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9751 (2.0218)	Prec@1 49.500 (47.811)	Prec@5 79.500 (78.297)
Epoch: [48][5380/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 1.8904 (2.0218)	Prec@1 49.500 (47.811)	Prec@5 81.500 (78.297)
Epoch: [48][5390/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.9527 (2.0219)	Prec@1 47.500 (47.806)	Prec@5 83.500 (78.294)
Epoch: [48][5400/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0224 (2.0218)	Prec@1 48.000 (47.809)	Prec@5 79.000 (78.296)
Epoch: [48][5410/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0200 (2.0219)	Prec@1 47.000 (47.811)	Prec@5 79.000 (78.295)
Epoch: [48][5420/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1764 (2.0220)	Prec@1 43.000 (47.810)	Prec@5 74.500 (78.292)
Epoch: [48][5430/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0029 (2.0220)	Prec@1 51.000 (47.811)	Prec@5 76.000 (78.290)
Epoch: [48][5440/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9403 (2.0219)	Prec@1 49.500 (47.810)	Prec@5 81.000 (78.292)
Epoch: [48][5450/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0878 (2.0218)	Prec@1 46.000 (47.813)	Prec@5 78.000 (78.295)
Epoch: [48][5460/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.9532 (2.0218)	Prec@1 49.000 (47.812)	Prec@5 80.000 (78.295)
Epoch: [48][5470/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1969 (2.0219)	Prec@1 44.000 (47.811)	Prec@5 75.000 (78.293)
Epoch: [48][5480/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.3680 (2.0220)	Prec@1 40.000 (47.808)	Prec@5 74.500 (78.291)
Epoch: [48][5490/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0330 (2.0221)	Prec@1 48.000 (47.807)	Prec@5 77.000 (78.288)
Epoch: [48][5500/9018]	Time 0.710 (0.614)	Data 0.001 (0.001)	Loss 1.7970 (2.0221)	Prec@1 51.500 (47.807)	Prec@5 84.500 (78.290)
Epoch: [48][5510/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.8839 (2.0221)	Prec@1 52.000 (47.803)	Prec@5 76.500 (78.287)
Epoch: [48][5520/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.2627 (2.0222)	Prec@1 39.000 (47.802)	Prec@5 74.000 (78.286)
Epoch: [48][5530/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9900 (2.0223)	Prec@1 50.500 (47.799)	Prec@5 72.000 (78.285)
Epoch: [48][5540/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0516 (2.0222)	Prec@1 48.000 (47.801)	Prec@5 80.000 (78.287)
Epoch: [48][5550/9018]	Time 0.713 (0.614)	Data 0.001 (0.001)	Loss 2.0920 (2.0223)	Prec@1 47.500 (47.799)	Prec@5 76.000 (78.286)
Epoch: [48][5560/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0077 (2.0223)	Prec@1 45.000 (47.798)	Prec@5 77.500 (78.285)
Epoch: [48][5570/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 1.8011 (2.0223)	Prec@1 50.500 (47.795)	Prec@5 83.000 (78.287)
Epoch: [48][5580/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.9905 (2.0223)	Prec@1 45.500 (47.795)	Prec@5 79.000 (78.286)
Epoch: [48][5590/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9363 (2.0223)	Prec@1 48.500 (47.795)	Prec@5 80.500 (78.285)
Epoch: [48][5600/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 2.2569 (2.0224)	Prec@1 46.500 (47.795)	Prec@5 72.000 (78.283)
Epoch: [48][5610/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 2.0929 (2.0225)	Prec@1 44.000 (47.792)	Prec@5 76.500 (78.283)
Epoch: [48][5620/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9968 (2.0225)	Prec@1 52.000 (47.792)	Prec@5 79.500 (78.282)
Epoch: [48][5630/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.2172 (2.0226)	Prec@1 40.500 (47.789)	Prec@5 74.000 (78.281)
Epoch: [48][5640/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9034 (2.0227)	Prec@1 49.500 (47.787)	Prec@5 80.000 (78.281)
Epoch: [48][5650/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.0325 (2.0226)	Prec@1 45.500 (47.791)	Prec@5 77.500 (78.282)
Epoch: [48][5660/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.0178 (2.0226)	Prec@1 48.500 (47.789)	Prec@5 79.500 (78.281)
Epoch: [48][5670/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1533 (2.0228)	Prec@1 41.500 (47.787)	Prec@5 80.000 (78.280)
Epoch: [48][5680/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.0560 (2.0228)	Prec@1 49.000 (47.786)	Prec@5 78.000 (78.279)
Epoch: [48][5690/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.2274 (2.0228)	Prec@1 46.500 (47.789)	Prec@5 74.000 (78.279)
Epoch: [48][5700/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.9419 (2.0227)	Prec@1 48.000 (47.788)	Prec@5 79.500 (78.279)
Epoch: [48][5710/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.9550 (2.0226)	Prec@1 44.500 (47.786)	Prec@5 80.000 (78.282)
Epoch: [48][5720/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.8758 (2.0226)	Prec@1 50.000 (47.786)	Prec@5 80.500 (78.283)
Epoch: [48][5730/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.7446 (2.0227)	Prec@1 52.000 (47.786)	Prec@5 80.500 (78.281)
Epoch: [48][5740/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.1936 (2.0227)	Prec@1 45.000 (47.786)	Prec@5 76.500 (78.280)
Epoch: [48][5750/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0421 (2.0226)	Prec@1 46.500 (47.787)	Prec@5 75.500 (78.280)
Epoch: [48][5760/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.0229 (2.0227)	Prec@1 52.500 (47.788)	Prec@5 77.500 (78.279)
Epoch: [48][5770/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.9837 (2.0228)	Prec@1 49.500 (47.785)	Prec@5 81.000 (78.277)
Epoch: [48][5780/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.8472 (2.0228)	Prec@1 48.500 (47.785)	Prec@5 81.500 (78.277)
Epoch: [48][5790/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.9059 (2.0229)	Prec@1 50.000 (47.784)	Prec@5 80.500 (78.273)
Epoch: [48][5800/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 1.9645 (2.0231)	Prec@1 51.000 (47.783)	Prec@5 80.000 (78.271)
Epoch: [48][5810/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.9798 (2.0230)	Prec@1 45.500 (47.783)	Prec@5 78.500 (78.272)
Epoch: [48][5820/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1174 (2.0231)	Prec@1 47.000 (47.781)	Prec@5 74.500 (78.269)
Epoch: [48][5830/9018]	Time 0.711 (0.614)	Data 0.001 (0.001)	Loss 1.8716 (2.0231)	Prec@1 54.000 (47.782)	Prec@5 84.000 (78.270)
Epoch: [48][5840/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.1592 (2.0230)	Prec@1 46.500 (47.783)	Prec@5 72.500 (78.271)
Epoch: [48][5850/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.8271 (2.0230)	Prec@1 53.000 (47.786)	Prec@5 80.500 (78.273)
Epoch: [48][5860/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.9557 (2.0229)	Prec@1 49.500 (47.785)	Prec@5 79.500 (78.271)
Epoch: [48][5870/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.9982 (2.0230)	Prec@1 50.500 (47.783)	Prec@5 80.500 (78.270)
Epoch: [48][5880/9018]	Time 0.722 (0.614)	Data 0.001 (0.001)	Loss 2.0502 (2.0231)	Prec@1 48.500 (47.782)	Prec@5 78.500 (78.270)
Epoch: [48][5890/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.0017 (2.0231)	Prec@1 48.500 (47.781)	Prec@5 76.000 (78.270)
Epoch: [48][5900/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1639 (2.0231)	Prec@1 42.000 (47.780)	Prec@5 77.000 (78.270)
Epoch: [48][5910/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.9624 (2.0231)	Prec@1 50.500 (47.783)	Prec@5 78.000 (78.270)
Epoch: [48][5920/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0517 (2.0230)	Prec@1 45.000 (47.783)	Prec@5 82.500 (78.272)
Epoch: [48][5930/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1449 (2.0230)	Prec@1 49.500 (47.784)	Prec@5 77.000 (78.272)
Epoch: [48][5940/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.8208 (2.0230)	Prec@1 49.000 (47.783)	Prec@5 85.000 (78.272)
Epoch: [48][5950/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 1.8728 (2.0230)	Prec@1 52.500 (47.782)	Prec@5 79.500 (78.272)
Epoch: [48][5960/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0598 (2.0230)	Prec@1 46.000 (47.785)	Prec@5 78.500 (78.272)
Epoch: [48][5970/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9977 (2.0229)	Prec@1 49.500 (47.786)	Prec@5 77.000 (78.274)
Epoch: [48][5980/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9393 (2.0230)	Prec@1 50.500 (47.786)	Prec@5 82.000 (78.274)
Epoch: [48][5990/9018]	Time 0.617 (0.614)	Data 0.001 (0.001)	Loss 1.8798 (2.0230)	Prec@1 51.000 (47.786)	Prec@5 82.000 (78.273)
Epoch: [48][6000/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 2.0216 (2.0229)	Prec@1 52.000 (47.786)	Prec@5 77.500 (78.273)
Epoch: [48][6010/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0351 (2.0229)	Prec@1 46.000 (47.788)	Prec@5 80.500 (78.275)
Epoch: [48][6020/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1252 (2.0229)	Prec@1 44.500 (47.790)	Prec@5 80.000 (78.275)
Epoch: [48][6030/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.9258 (2.0230)	Prec@1 48.500 (47.787)	Prec@5 80.500 (78.274)
Epoch: [48][6040/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9625 (2.0230)	Prec@1 45.000 (47.785)	Prec@5 80.000 (78.275)
Epoch: [48][6050/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.8866 (2.0230)	Prec@1 45.000 (47.785)	Prec@5 83.000 (78.275)
Epoch: [48][6060/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.2305 (2.0230)	Prec@1 43.000 (47.784)	Prec@5 77.000 (78.275)
Epoch: [48][6070/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.0187 (2.0231)	Prec@1 48.500 (47.784)	Prec@5 80.000 (78.274)
Epoch: [48][6080/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.1419 (2.0231)	Prec@1 48.000 (47.784)	Prec@5 74.500 (78.274)
Epoch: [48][6090/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1113 (2.0232)	Prec@1 44.000 (47.782)	Prec@5 79.000 (78.273)
Epoch: [48][6100/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9127 (2.0230)	Prec@1 51.500 (47.788)	Prec@5 81.000 (78.275)
Epoch: [48][6110/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.3183 (2.0231)	Prec@1 41.000 (47.785)	Prec@5 73.500 (78.274)
Epoch: [48][6120/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1345 (2.0230)	Prec@1 42.500 (47.786)	Prec@5 75.000 (78.275)
Epoch: [48][6130/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1650 (2.0232)	Prec@1 46.500 (47.784)	Prec@5 79.000 (78.272)
Epoch: [48][6140/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.2111 (2.0232)	Prec@1 43.500 (47.785)	Prec@5 73.500 (78.271)
Epoch: [48][6150/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1112 (2.0232)	Prec@1 48.500 (47.784)	Prec@5 75.500 (78.271)
Epoch: [48][6160/9018]	Time 0.721 (0.614)	Data 0.001 (0.001)	Loss 2.1167 (2.0233)	Prec@1 47.000 (47.782)	Prec@5 76.000 (78.268)
Epoch: [48][6170/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 2.0719 (2.0234)	Prec@1 45.000 (47.780)	Prec@5 79.000 (78.267)
Epoch: [48][6180/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.3374 (2.0235)	Prec@1 43.500 (47.777)	Prec@5 72.000 (78.266)
Epoch: [48][6190/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1557 (2.0235)	Prec@1 42.500 (47.776)	Prec@5 77.500 (78.267)
Epoch: [48][6200/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.7994 (2.0234)	Prec@1 52.000 (47.777)	Prec@5 81.000 (78.268)
Epoch: [48][6210/9018]	Time 0.712 (0.614)	Data 0.001 (0.001)	Loss 2.0858 (2.0234)	Prec@1 50.000 (47.776)	Prec@5 78.500 (78.268)
Epoch: [48][6220/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 1.8869 (2.0233)	Prec@1 51.000 (47.779)	Prec@5 80.500 (78.270)
Epoch: [48][6230/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.3571 (2.0232)	Prec@1 38.500 (47.782)	Prec@5 71.500 (78.270)
Epoch: [48][6240/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1594 (2.0233)	Prec@1 47.000 (47.779)	Prec@5 75.000 (78.268)
Epoch: [48][6250/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.9345 (2.0233)	Prec@1 49.500 (47.780)	Prec@5 77.000 (78.267)
Epoch: [48][6260/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.8879 (2.0232)	Prec@1 47.500 (47.778)	Prec@5 79.500 (78.268)
Epoch: [48][6270/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.2402 (2.0233)	Prec@1 43.000 (47.776)	Prec@5 71.500 (78.266)
Epoch: [48][6280/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0523 (2.0232)	Prec@1 40.500 (47.775)	Prec@5 76.500 (78.267)
Epoch: [48][6290/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.0075 (2.0232)	Prec@1 47.000 (47.775)	Prec@5 80.500 (78.268)
Epoch: [48][6300/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9793 (2.0232)	Prec@1 45.500 (47.773)	Prec@5 80.500 (78.268)
Epoch: [48][6310/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.2572 (2.0234)	Prec@1 43.000 (47.770)	Prec@5 71.000 (78.265)
Epoch: [48][6320/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1539 (2.0233)	Prec@1 43.000 (47.772)	Prec@5 76.500 (78.265)
Epoch: [48][6330/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0757 (2.0233)	Prec@1 46.000 (47.771)	Prec@5 77.000 (78.265)
Epoch: [48][6340/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 2.1755 (2.0234)	Prec@1 46.500 (47.771)	Prec@5 76.000 (78.263)
Epoch: [48][6350/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 2.3163 (2.0234)	Prec@1 47.500 (47.773)	Prec@5 73.500 (78.264)
Epoch: [48][6360/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.1532 (2.0235)	Prec@1 44.000 (47.770)	Prec@5 74.500 (78.262)
Epoch: [48][6370/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.0810 (2.0236)	Prec@1 47.500 (47.769)	Prec@5 78.500 (78.261)
Epoch: [48][6380/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9755 (2.0236)	Prec@1 49.500 (47.770)	Prec@5 79.500 (78.262)
Epoch: [48][6390/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.8166 (2.0236)	Prec@1 46.500 (47.769)	Prec@5 81.000 (78.261)
Epoch: [48][6400/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0840 (2.0237)	Prec@1 45.500 (47.766)	Prec@5 73.500 (78.259)
Epoch: [48][6410/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.0359 (2.0237)	Prec@1 43.000 (47.768)	Prec@5 80.000 (78.260)
Epoch: [48][6420/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.2478 (2.0237)	Prec@1 44.500 (47.766)	Prec@5 75.500 (78.260)
Epoch: [48][6430/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.0365 (2.0236)	Prec@1 48.500 (47.768)	Prec@5 78.000 (78.262)
Epoch: [48][6440/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1061 (2.0236)	Prec@1 45.000 (47.768)	Prec@5 76.000 (78.263)
Epoch: [48][6450/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.8205 (2.0236)	Prec@1 46.500 (47.768)	Prec@5 84.000 (78.265)
Epoch: [48][6460/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.2158 (2.0237)	Prec@1 45.000 (47.765)	Prec@5 73.500 (78.261)
Epoch: [48][6470/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1144 (2.0238)	Prec@1 45.500 (47.764)	Prec@5 77.000 (78.259)
Epoch: [48][6480/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0006 (2.0236)	Prec@1 50.500 (47.767)	Prec@5 76.000 (78.261)
Epoch: [48][6490/9018]	Time 0.726 (0.614)	Data 0.001 (0.001)	Loss 1.9732 (2.0237)	Prec@1 45.500 (47.766)	Prec@5 80.000 (78.259)
Epoch: [48][6500/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 2.1630 (2.0237)	Prec@1 42.500 (47.767)	Prec@5 76.000 (78.260)
Epoch: [48][6510/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.3806 (2.0237)	Prec@1 41.000 (47.767)	Prec@5 74.000 (78.258)
Epoch: [48][6520/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.0245 (2.0238)	Prec@1 45.000 (47.765)	Prec@5 79.500 (78.258)
Epoch: [48][6530/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.2582 (2.0238)	Prec@1 45.000 (47.765)	Prec@5 73.000 (78.257)
Epoch: [48][6540/9018]	Time 0.734 (0.614)	Data 0.001 (0.001)	Loss 1.8920 (2.0238)	Prec@1 53.000 (47.766)	Prec@5 81.500 (78.258)
Epoch: [48][6550/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.0337 (2.0239)	Prec@1 51.000 (47.766)	Prec@5 80.000 (78.256)
Epoch: [48][6560/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 1.9887 (2.0239)	Prec@1 50.500 (47.765)	Prec@5 78.000 (78.256)
Epoch: [48][6570/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9923 (2.0239)	Prec@1 48.000 (47.763)	Prec@5 79.000 (78.257)
Epoch: [48][6580/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 2.0943 (2.0239)	Prec@1 46.000 (47.763)	Prec@5 76.000 (78.255)
Epoch: [48][6590/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0516 (2.0239)	Prec@1 45.500 (47.766)	Prec@5 79.500 (78.257)
Epoch: [48][6600/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.8544 (2.0238)	Prec@1 48.500 (47.765)	Prec@5 85.500 (78.259)
Epoch: [48][6610/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.9524 (2.0240)	Prec@1 49.500 (47.762)	Prec@5 79.500 (78.256)
Epoch: [48][6620/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9841 (2.0241)	Prec@1 54.000 (47.761)	Prec@5 78.000 (78.256)
Epoch: [48][6630/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.8831 (2.0240)	Prec@1 48.000 (47.763)	Prec@5 81.000 (78.256)
Epoch: [48][6640/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.9066 (2.0239)	Prec@1 51.500 (47.764)	Prec@5 81.000 (78.259)
Epoch: [48][6650/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.1905 (2.0238)	Prec@1 44.500 (47.764)	Prec@5 74.500 (78.260)
Epoch: [48][6660/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9054 (2.0238)	Prec@1 51.000 (47.764)	Prec@5 77.500 (78.260)
Epoch: [48][6670/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.0815 (2.0239)	Prec@1 51.000 (47.763)	Prec@5 77.000 (78.259)
Epoch: [48][6680/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.3403 (2.0240)	Prec@1 46.000 (47.761)	Prec@5 68.500 (78.256)
Epoch: [48][6690/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.1422 (2.0240)	Prec@1 46.500 (47.761)	Prec@5 74.500 (78.256)
Epoch: [48][6700/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 1.9575 (2.0240)	Prec@1 45.000 (47.761)	Prec@5 74.500 (78.256)
Epoch: [48][6710/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.8920 (2.0240)	Prec@1 50.500 (47.759)	Prec@5 79.500 (78.254)
Epoch: [48][6720/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.2790 (2.0241)	Prec@1 44.500 (47.760)	Prec@5 78.500 (78.253)
Epoch: [48][6730/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.0066 (2.0241)	Prec@1 45.000 (47.758)	Prec@5 82.500 (78.252)
Epoch: [48][6740/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.0976 (2.0241)	Prec@1 51.000 (47.758)	Prec@5 73.500 (78.250)
Epoch: [48][6750/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.9816 (2.0242)	Prec@1 47.500 (47.756)	Prec@5 80.500 (78.248)
Epoch: [48][6760/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.0816 (2.0243)	Prec@1 49.000 (47.754)	Prec@5 76.000 (78.247)
Epoch: [48][6770/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.0564 (2.0243)	Prec@1 47.500 (47.754)	Prec@5 77.000 (78.244)
Epoch: [48][6780/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1168 (2.0244)	Prec@1 46.500 (47.754)	Prec@5 79.000 (78.244)
Epoch: [48][6790/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.7641 (2.0243)	Prec@1 56.000 (47.754)	Prec@5 82.000 (78.245)
Epoch: [48][6800/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.0649 (2.0244)	Prec@1 48.000 (47.753)	Prec@5 77.000 (78.243)
Epoch: [48][6810/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1634 (2.0244)	Prec@1 45.000 (47.753)	Prec@5 77.500 (78.244)
Epoch: [48][6820/9018]	Time 0.722 (0.614)	Data 0.001 (0.001)	Loss 2.0692 (2.0244)	Prec@1 48.000 (47.752)	Prec@5 76.000 (78.243)
Epoch: [48][6830/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 1.8558 (2.0244)	Prec@1 50.000 (47.752)	Prec@5 82.000 (78.242)
Epoch: [48][6840/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.8790 (2.0243)	Prec@1 51.500 (47.753)	Prec@5 80.000 (78.243)
Epoch: [48][6850/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.3258 (2.0244)	Prec@1 42.000 (47.751)	Prec@5 73.500 (78.242)
Epoch: [48][6860/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0668 (2.0244)	Prec@1 53.500 (47.750)	Prec@5 77.000 (78.240)
Epoch: [48][6870/9018]	Time 0.723 (0.614)	Data 0.001 (0.001)	Loss 2.1035 (2.0244)	Prec@1 47.500 (47.748)	Prec@5 77.000 (78.239)
Epoch: [48][6880/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1180 (2.0245)	Prec@1 44.000 (47.749)	Prec@5 80.000 (78.240)
Epoch: [48][6890/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.9875 (2.0244)	Prec@1 49.500 (47.748)	Prec@5 76.000 (78.242)
Epoch: [48][6900/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9948 (2.0245)	Prec@1 46.500 (47.745)	Prec@5 81.000 (78.240)
Epoch: [48][6910/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1343 (2.0246)	Prec@1 46.500 (47.744)	Prec@5 78.000 (78.237)
Epoch: [48][6920/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.0910 (2.0246)	Prec@1 46.000 (47.744)	Prec@5 75.500 (78.239)
Epoch: [48][6930/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.2652 (2.0246)	Prec@1 43.000 (47.744)	Prec@5 74.500 (78.240)
Epoch: [48][6940/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0403 (2.0247)	Prec@1 46.500 (47.742)	Prec@5 76.000 (78.237)
Epoch: [48][6950/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.1157 (2.0248)	Prec@1 50.000 (47.740)	Prec@5 78.500 (78.236)
Epoch: [48][6960/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9950 (2.0249)	Prec@1 47.500 (47.739)	Prec@5 74.000 (78.235)
Epoch: [48][6970/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0362 (2.0249)	Prec@1 47.500 (47.741)	Prec@5 79.500 (78.235)
Epoch: [48][6980/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.1143 (2.0249)	Prec@1 41.000 (47.741)	Prec@5 77.000 (78.236)
Epoch: [48][6990/9018]	Time 0.595 (0.613)	Data 0.004 (0.001)	Loss 2.0402 (2.0249)	Prec@1 48.000 (47.741)	Prec@5 82.500 (78.236)
Epoch: [48][7000/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 2.1770 (2.0250)	Prec@1 47.000 (47.739)	Prec@5 73.500 (78.232)
Epoch: [48][7010/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.1331 (2.0250)	Prec@1 44.000 (47.740)	Prec@5 79.000 (78.233)
Epoch: [48][7020/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.0290 (2.0249)	Prec@1 43.500 (47.740)	Prec@5 80.500 (78.233)
Epoch: [48][7030/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.8932 (2.0249)	Prec@1 49.500 (47.740)	Prec@5 80.000 (78.234)
Epoch: [48][7040/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.9275 (2.0249)	Prec@1 48.000 (47.739)	Prec@5 83.500 (78.233)
Epoch: [48][7050/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.2044 (2.0249)	Prec@1 41.500 (47.738)	Prec@5 75.500 (78.234)
Epoch: [48][7060/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 1.9977 (2.0249)	Prec@1 49.500 (47.740)	Prec@5 77.500 (78.234)
Epoch: [48][7070/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.9335 (2.0249)	Prec@1 52.000 (47.741)	Prec@5 77.000 (78.233)
Epoch: [48][7080/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.1046 (2.0249)	Prec@1 46.500 (47.742)	Prec@5 74.000 (78.233)
Epoch: [48][7090/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.1280 (2.0248)	Prec@1 51.500 (47.742)	Prec@5 76.000 (78.233)
Epoch: [48][7100/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.0114 (2.0247)	Prec@1 49.000 (47.746)	Prec@5 79.500 (78.234)
Epoch: [48][7110/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.9823 (2.0246)	Prec@1 48.500 (47.748)	Prec@5 78.500 (78.237)
Epoch: [48][7120/9018]	Time 0.603 (0.613)	Data 0.002 (0.001)	Loss 2.0492 (2.0247)	Prec@1 43.500 (47.747)	Prec@5 76.500 (78.235)
Epoch: [48][7130/9018]	Time 0.634 (0.613)	Data 0.001 (0.001)	Loss 1.8319 (2.0248)	Prec@1 54.000 (47.745)	Prec@5 79.000 (78.235)
Epoch: [48][7140/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.8799 (2.0247)	Prec@1 51.000 (47.746)	Prec@5 77.500 (78.234)
Epoch: [48][7150/9018]	Time 0.718 (0.613)	Data 0.001 (0.001)	Loss 1.9778 (2.0248)	Prec@1 52.500 (47.744)	Prec@5 76.500 (78.234)
Epoch: [48][7160/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 2.1038 (2.0248)	Prec@1 36.500 (47.743)	Prec@5 77.000 (78.233)
Epoch: [48][7170/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.8637 (2.0248)	Prec@1 51.000 (47.741)	Prec@5 82.500 (78.234)
Epoch: [48][7180/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.9899 (2.0248)	Prec@1 49.500 (47.743)	Prec@5 77.000 (78.234)
Epoch: [48][7190/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.1160 (2.0249)	Prec@1 45.000 (47.740)	Prec@5 77.000 (78.234)
Epoch: [48][7200/9018]	Time 0.744 (0.613)	Data 0.001 (0.001)	Loss 2.1222 (2.0249)	Prec@1 44.500 (47.737)	Prec@5 79.500 (78.234)
Epoch: [48][7210/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.1059 (2.0249)	Prec@1 50.500 (47.739)	Prec@5 76.000 (78.233)
Epoch: [48][7220/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.1206 (2.0250)	Prec@1 44.000 (47.738)	Prec@5 78.500 (78.232)
Epoch: [48][7230/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.0992 (2.0249)	Prec@1 48.000 (47.739)	Prec@5 75.500 (78.233)
Epoch: [48][7240/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.0458 (2.0250)	Prec@1 50.000 (47.739)	Prec@5 77.500 (78.233)
Epoch: [48][7250/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.8814 (2.0250)	Prec@1 48.000 (47.737)	Prec@5 81.000 (78.232)
Epoch: [48][7260/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.1085 (2.0251)	Prec@1 45.500 (47.736)	Prec@5 78.500 (78.231)
Epoch: [48][7270/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.0975 (2.0252)	Prec@1 48.500 (47.733)	Prec@5 79.000 (78.227)
Epoch: [48][7280/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 1.7855 (2.0252)	Prec@1 54.000 (47.734)	Prec@5 83.000 (78.228)
Epoch: [48][7290/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 1.8931 (2.0252)	Prec@1 53.000 (47.733)	Prec@5 76.000 (78.228)
Epoch: [48][7300/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.1689 (2.0253)	Prec@1 44.500 (47.729)	Prec@5 76.500 (78.226)
Epoch: [48][7310/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.9559 (2.0253)	Prec@1 49.000 (47.730)	Prec@5 79.500 (78.226)
Epoch: [48][7320/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.1919 (2.0254)	Prec@1 45.000 (47.729)	Prec@5 77.000 (78.225)
Epoch: [48][7330/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.2409 (2.0254)	Prec@1 44.500 (47.729)	Prec@5 74.500 (78.225)
Epoch: [48][7340/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 1.8083 (2.0255)	Prec@1 50.500 (47.727)	Prec@5 80.500 (78.224)
Epoch: [48][7350/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.0035 (2.0255)	Prec@1 49.500 (47.724)	Prec@5 78.500 (78.223)
Epoch: [48][7360/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.1593 (2.0256)	Prec@1 47.000 (47.724)	Prec@5 78.500 (78.223)
Epoch: [48][7370/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.8171 (2.0255)	Prec@1 54.500 (47.728)	Prec@5 79.000 (78.223)
Epoch: [48][7380/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.2250 (2.0254)	Prec@1 47.000 (47.729)	Prec@5 74.000 (78.225)
Epoch: [48][7390/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.0406 (2.0255)	Prec@1 44.000 (47.728)	Prec@5 79.500 (78.223)
Epoch: [48][7400/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.3453 (2.0255)	Prec@1 41.500 (47.728)	Prec@5 71.000 (78.221)
Epoch: [48][7410/9018]	Time 0.620 (0.613)	Data 0.002 (0.001)	Loss 2.1822 (2.0255)	Prec@1 50.000 (47.729)	Prec@5 73.500 (78.220)
Epoch: [48][7420/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.9563 (2.0254)	Prec@1 47.000 (47.728)	Prec@5 78.500 (78.220)
Epoch: [48][7430/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 1.9469 (2.0256)	Prec@1 48.500 (47.726)	Prec@5 78.500 (78.217)
Epoch: [48][7440/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.9522 (2.0256)	Prec@1 49.500 (47.725)	Prec@5 79.000 (78.218)
Epoch: [48][7450/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.0611 (2.0256)	Prec@1 46.500 (47.726)	Prec@5 77.000 (78.219)
Epoch: [48][7460/9018]	Time 0.620 (0.613)	Data 0.001 (0.001)	Loss 2.0522 (2.0256)	Prec@1 48.000 (47.723)	Prec@5 76.500 (78.218)
Epoch: [48][7470/9018]	Time 0.627 (0.613)	Data 0.001 (0.001)	Loss 2.1110 (2.0257)	Prec@1 45.000 (47.722)	Prec@5 79.500 (78.216)
Epoch: [48][7480/9018]	Time 0.717 (0.613)	Data 0.001 (0.001)	Loss 2.0716 (2.0257)	Prec@1 46.000 (47.721)	Prec@5 74.500 (78.214)
Epoch: [48][7490/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.8263 (2.0258)	Prec@1 51.000 (47.722)	Prec@5 80.500 (78.215)
Epoch: [48][7500/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.9704 (2.0257)	Prec@1 48.500 (47.723)	Prec@5 79.000 (78.216)
Epoch: [48][7510/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.9974 (2.0257)	Prec@1 47.500 (47.724)	Prec@5 79.500 (78.217)
Epoch: [48][7520/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.9347 (2.0258)	Prec@1 46.000 (47.724)	Prec@5 81.500 (78.217)
Epoch: [48][7530/9018]	Time 0.726 (0.613)	Data 0.001 (0.001)	Loss 2.1368 (2.0259)	Prec@1 43.500 (47.722)	Prec@5 75.500 (78.215)
Epoch: [48][7540/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 1.8235 (2.0259)	Prec@1 49.000 (47.720)	Prec@5 77.000 (78.215)
Epoch: [48][7550/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.0174 (2.0259)	Prec@1 44.000 (47.720)	Prec@5 79.500 (78.214)
Epoch: [48][7560/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.2049 (2.0259)	Prec@1 48.000 (47.720)	Prec@5 74.500 (78.214)
Epoch: [48][7570/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.9578 (2.0259)	Prec@1 54.000 (47.721)	Prec@5 80.000 (78.214)
Epoch: [48][7580/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.1852 (2.0258)	Prec@1 46.000 (47.720)	Prec@5 75.500 (78.215)
Epoch: [48][7590/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 2.1014 (2.0259)	Prec@1 44.500 (47.719)	Prec@5 75.000 (78.213)
Epoch: [48][7600/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.1377 (2.0259)	Prec@1 44.000 (47.720)	Prec@5 75.500 (78.214)
Epoch: [48][7610/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.8671 (2.0260)	Prec@1 52.000 (47.720)	Prec@5 78.500 (78.212)
Epoch: [48][7620/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.0479 (2.0259)	Prec@1 40.500 (47.721)	Prec@5 80.000 (78.213)
Epoch: [48][7630/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.1205 (2.0260)	Prec@1 46.000 (47.719)	Prec@5 73.500 (78.212)
Epoch: [48][7640/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.1808 (2.0259)	Prec@1 43.500 (47.720)	Prec@5 73.000 (78.213)
Epoch: [48][7650/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.1709 (2.0259)	Prec@1 43.500 (47.720)	Prec@5 73.500 (78.212)
Epoch: [48][7660/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.0039 (2.0259)	Prec@1 48.000 (47.721)	Prec@5 77.500 (78.214)
Epoch: [48][7670/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.0231 (2.0259)	Prec@1 46.500 (47.721)	Prec@5 81.000 (78.214)
Epoch: [48][7680/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.9125 (2.0259)	Prec@1 54.500 (47.724)	Prec@5 79.000 (78.214)
Epoch: [48][7690/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.8694 (2.0258)	Prec@1 47.000 (47.724)	Prec@5 80.500 (78.214)
Epoch: [48][7700/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.1133 (2.0258)	Prec@1 41.500 (47.723)	Prec@5 75.500 (78.214)
Epoch: [48][7710/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.0341 (2.0258)	Prec@1 46.500 (47.724)	Prec@5 75.000 (78.213)
Epoch: [48][7720/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.9502 (2.0259)	Prec@1 51.000 (47.723)	Prec@5 79.500 (78.212)
Epoch: [48][7730/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.0616 (2.0258)	Prec@1 46.500 (47.725)	Prec@5 78.500 (78.213)
Epoch: [48][7740/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.1211 (2.0258)	Prec@1 44.000 (47.725)	Prec@5 75.000 (78.212)
Epoch: [48][7750/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.9147 (2.0259)	Prec@1 48.500 (47.724)	Prec@5 78.500 (78.211)
Epoch: [48][7760/9018]	Time 0.614 (0.613)	Data 0.001 (0.001)	Loss 2.0699 (2.0259)	Prec@1 45.500 (47.722)	Prec@5 78.500 (78.210)
Epoch: [48][7770/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.1181 (2.0259)	Prec@1 43.000 (47.723)	Prec@5 76.000 (78.211)
Epoch: [48][7780/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 2.3544 (2.0259)	Prec@1 35.500 (47.722)	Prec@5 72.500 (78.210)
Epoch: [48][7790/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 2.0809 (2.0259)	Prec@1 43.000 (47.721)	Prec@5 78.500 (78.210)
Epoch: [48][7800/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.2063 (2.0260)	Prec@1 42.000 (47.721)	Prec@5 76.000 (78.210)
Epoch: [48][7810/9018]	Time 0.712 (0.613)	Data 0.001 (0.001)	Loss 2.1220 (2.0260)	Prec@1 48.500 (47.722)	Prec@5 76.500 (78.208)
Epoch: [48][7820/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.0626 (2.0260)	Prec@1 46.000 (47.723)	Prec@5 77.500 (78.208)
Epoch: [48][7830/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.0497 (2.0260)	Prec@1 52.000 (47.723)	Prec@5 78.500 (78.208)
Epoch: [48][7840/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.1803 (2.0261)	Prec@1 46.000 (47.721)	Prec@5 78.500 (78.206)
Epoch: [48][7850/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 1.9783 (2.0261)	Prec@1 49.000 (47.720)	Prec@5 78.500 (78.205)
Epoch: [48][7860/9018]	Time 0.730 (0.613)	Data 0.001 (0.001)	Loss 2.1194 (2.0261)	Prec@1 44.500 (47.720)	Prec@5 78.000 (78.205)
Epoch: [48][7870/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.1720 (2.0261)	Prec@1 41.000 (47.719)	Prec@5 77.500 (78.206)
Epoch: [48][7880/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.9354 (2.0262)	Prec@1 49.500 (47.718)	Prec@5 79.500 (78.204)
Epoch: [48][7890/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 2.1491 (2.0262)	Prec@1 44.500 (47.717)	Prec@5 76.500 (78.205)
Epoch: [48][7900/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.0477 (2.0263)	Prec@1 49.000 (47.717)	Prec@5 76.500 (78.204)
Epoch: [48][7910/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.9302 (2.0262)	Prec@1 49.000 (47.719)	Prec@5 81.000 (78.205)
Epoch: [48][7920/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.8592 (2.0263)	Prec@1 49.500 (47.719)	Prec@5 79.000 (78.205)
Epoch: [48][7930/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.1478 (2.0262)	Prec@1 47.000 (47.718)	Prec@5 76.000 (78.206)
Epoch: [48][7940/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.9598 (2.0263)	Prec@1 50.500 (47.718)	Prec@5 77.500 (78.204)
Epoch: [48][7950/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.0612 (2.0263)	Prec@1 47.000 (47.718)	Prec@5 79.000 (78.202)
Epoch: [48][7960/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.0804 (2.0263)	Prec@1 46.500 (47.719)	Prec@5 77.500 (78.202)
Epoch: [48][7970/9018]	Time 0.614 (0.613)	Data 0.001 (0.001)	Loss 1.8924 (2.0263)	Prec@1 50.000 (47.719)	Prec@5 77.000 (78.203)
Epoch: [48][7980/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.9202 (2.0262)	Prec@1 52.000 (47.719)	Prec@5 77.000 (78.202)
Epoch: [48][7990/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.9598 (2.0263)	Prec@1 47.000 (47.718)	Prec@5 80.000 (78.202)
Epoch: [48][8000/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.9736 (2.0263)	Prec@1 47.000 (47.717)	Prec@5 81.000 (78.202)
Epoch: [48][8010/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.1844 (2.0264)	Prec@1 42.000 (47.715)	Prec@5 77.000 (78.202)
Epoch: [48][8020/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.1778 (2.0264)	Prec@1 41.000 (47.714)	Prec@5 76.000 (78.201)
Epoch: [48][8030/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 2.0602 (2.0264)	Prec@1 47.500 (47.715)	Prec@5 82.000 (78.201)
Epoch: [48][8040/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 2.0472 (2.0264)	Prec@1 44.500 (47.716)	Prec@5 78.500 (78.202)
Epoch: [48][8050/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.0570 (2.0264)	Prec@1 50.000 (47.715)	Prec@5 76.500 (78.202)
Epoch: [48][8060/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 2.0814 (2.0264)	Prec@1 45.500 (47.714)	Prec@5 76.000 (78.201)
Epoch: [48][8070/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.1672 (2.0264)	Prec@1 45.000 (47.714)	Prec@5 75.000 (78.200)
Epoch: [48][8080/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.1067 (2.0264)	Prec@1 44.000 (47.715)	Prec@5 75.500 (78.200)
Epoch: [48][8090/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.0255 (2.0264)	Prec@1 52.000 (47.715)	Prec@5 77.000 (78.199)
Epoch: [48][8100/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 2.1919 (2.0264)	Prec@1 45.500 (47.714)	Prec@5 75.500 (78.198)
Epoch: [48][8110/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.2592 (2.0265)	Prec@1 42.500 (47.714)	Prec@5 75.500 (78.198)
Epoch: [48][8120/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.9928 (2.0265)	Prec@1 47.500 (47.713)	Prec@5 78.500 (78.194)
Epoch: [48][8130/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 2.1888 (2.0266)	Prec@1 42.000 (47.713)	Prec@5 74.000 (78.193)
Epoch: [48][8140/9018]	Time 0.714 (0.613)	Data 0.001 (0.001)	Loss 1.9650 (2.0266)	Prec@1 52.500 (47.711)	Prec@5 78.000 (78.192)
Epoch: [48][8150/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.0397 (2.0267)	Prec@1 46.500 (47.712)	Prec@5 78.500 (78.193)
Epoch: [48][8160/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.0897 (2.0267)	Prec@1 45.500 (47.709)	Prec@5 73.500 (78.190)
Epoch: [48][8170/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 1.9338 (2.0267)	Prec@1 47.000 (47.709)	Prec@5 80.000 (78.191)
Epoch: [48][8180/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.0498 (2.0266)	Prec@1 46.000 (47.710)	Prec@5 79.500 (78.193)
Epoch: [48][8190/9018]	Time 0.719 (0.613)	Data 0.001 (0.001)	Loss 1.9751 (2.0266)	Prec@1 48.500 (47.711)	Prec@5 79.500 (78.194)
Epoch: [48][8200/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.8981 (2.0267)	Prec@1 51.500 (47.709)	Prec@5 78.500 (78.192)
Epoch: [48][8210/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.0290 (2.0267)	Prec@1 49.000 (47.709)	Prec@5 74.500 (78.190)
Epoch: [48][8220/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.8243 (2.0267)	Prec@1 49.000 (47.708)	Prec@5 85.000 (78.191)
Epoch: [48][8230/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.1667 (2.0268)	Prec@1 46.000 (47.708)	Prec@5 77.500 (78.193)
Epoch: [48][8240/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.0980 (2.0268)	Prec@1 43.500 (47.709)	Prec@5 77.000 (78.193)
Epoch: [48][8250/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.8308 (2.0267)	Prec@1 50.000 (47.710)	Prec@5 82.000 (78.195)
Epoch: [48][8260/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.9795 (2.0266)	Prec@1 49.500 (47.709)	Prec@5 78.000 (78.196)
Epoch: [48][8270/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 2.3007 (2.0267)	Prec@1 46.000 (47.707)	Prec@5 71.500 (78.194)
Epoch: [48][8280/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.1334 (2.0267)	Prec@1 45.500 (47.708)	Prec@5 73.000 (78.195)
Epoch: [48][8290/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 2.0847 (2.0267)	Prec@1 52.500 (47.709)	Prec@5 74.500 (78.196)
Epoch: [48][8300/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.0567 (2.0267)	Prec@1 49.500 (47.708)	Prec@5 76.000 (78.193)
Epoch: [48][8310/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.8615 (2.0268)	Prec@1 48.000 (47.707)	Prec@5 81.500 (78.193)
Epoch: [48][8320/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.8758 (2.0268)	Prec@1 50.000 (47.705)	Prec@5 80.000 (78.192)
Epoch: [48][8330/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 2.0677 (2.0268)	Prec@1 45.000 (47.706)	Prec@5 80.500 (78.191)
Epoch: [48][8340/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.9161 (2.0268)	Prec@1 53.000 (47.707)	Prec@5 81.500 (78.192)
Epoch: [48][8350/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.9743 (2.0268)	Prec@1 52.500 (47.707)	Prec@5 77.500 (78.192)
Epoch: [48][8360/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.9603 (2.0268)	Prec@1 43.500 (47.705)	Prec@5 81.500 (78.193)
Epoch: [48][8370/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.0224 (2.0268)	Prec@1 45.500 (47.703)	Prec@5 81.500 (78.194)
Epoch: [48][8380/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.2138 (2.0268)	Prec@1 43.500 (47.702)	Prec@5 76.000 (78.195)
Epoch: [48][8390/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.0725 (2.0268)	Prec@1 44.000 (47.702)	Prec@5 76.000 (78.195)
Epoch: [48][8400/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.8479 (2.0269)	Prec@1 51.500 (47.701)	Prec@5 81.000 (78.195)
Epoch: [48][8410/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.0210 (2.0270)	Prec@1 46.500 (47.699)	Prec@5 77.000 (78.194)
Epoch: [48][8420/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.0667 (2.0269)	Prec@1 48.500 (47.701)	Prec@5 78.000 (78.195)
Epoch: [48][8430/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 2.1254 (2.0270)	Prec@1 46.500 (47.700)	Prec@5 76.000 (78.194)
Epoch: [48][8440/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 2.1444 (2.0269)	Prec@1 42.500 (47.700)	Prec@5 79.500 (78.195)
Epoch: [48][8450/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.0927 (2.0270)	Prec@1 47.000 (47.699)	Prec@5 78.000 (78.193)
Epoch: [48][8460/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.9859 (2.0270)	Prec@1 48.500 (47.700)	Prec@5 81.000 (78.192)
Epoch: [48][8470/9018]	Time 0.726 (0.613)	Data 0.001 (0.001)	Loss 1.9465 (2.0270)	Prec@1 50.000 (47.700)	Prec@5 81.000 (78.193)
Epoch: [48][8480/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 2.1859 (2.0270)	Prec@1 47.500 (47.699)	Prec@5 78.500 (78.191)
Epoch: [48][8490/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.8230 (2.0270)	Prec@1 48.000 (47.699)	Prec@5 81.000 (78.193)
Epoch: [48][8500/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.0990 (2.0269)	Prec@1 47.500 (47.701)	Prec@5 75.500 (78.193)
Epoch: [48][8510/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.9784 (2.0270)	Prec@1 51.000 (47.701)	Prec@5 79.000 (78.193)
Epoch: [48][8520/9018]	Time 0.733 (0.613)	Data 0.001 (0.001)	Loss 2.2407 (2.0270)	Prec@1 45.000 (47.699)	Prec@5 71.000 (78.193)
Epoch: [48][8530/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.8653 (2.0269)	Prec@1 49.000 (47.700)	Prec@5 79.000 (78.194)
Epoch: [48][8540/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.8921 (2.0269)	Prec@1 53.500 (47.701)	Prec@5 77.500 (78.194)
Epoch: [48][8550/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.1094 (2.0270)	Prec@1 51.000 (47.700)	Prec@5 76.000 (78.194)
Epoch: [48][8560/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 2.2771 (2.0270)	Prec@1 44.500 (47.698)	Prec@5 74.500 (78.193)
Epoch: [48][8570/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.8538 (2.0271)	Prec@1 52.500 (47.698)	Prec@5 81.000 (78.194)
Epoch: [48][8580/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 1.9298 (2.0270)	Prec@1 50.500 (47.698)	Prec@5 81.500 (78.195)
Epoch: [48][8590/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 2.1015 (2.0270)	Prec@1 49.500 (47.697)	Prec@5 75.500 (78.195)
Epoch: [48][8600/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.0099 (2.0270)	Prec@1 46.000 (47.697)	Prec@5 79.500 (78.197)
Epoch: [48][8610/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.2340 (2.0271)	Prec@1 43.000 (47.696)	Prec@5 73.000 (78.195)
Epoch: [48][8620/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.0455 (2.0271)	Prec@1 46.500 (47.694)	Prec@5 76.000 (78.195)
Epoch: [48][8630/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.1119 (2.0270)	Prec@1 46.000 (47.695)	Prec@5 75.500 (78.196)
Epoch: [48][8640/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.9893 (2.0270)	Prec@1 46.500 (47.696)	Prec@5 79.500 (78.197)
Epoch: [48][8650/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.8848 (2.0270)	Prec@1 51.000 (47.695)	Prec@5 79.500 (78.197)
Epoch: [48][8660/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.9889 (2.0271)	Prec@1 47.000 (47.694)	Prec@5 79.500 (78.196)
Epoch: [48][8670/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.9854 (2.0270)	Prec@1 47.000 (47.694)	Prec@5 80.500 (78.197)
Epoch: [48][8680/9018]	Time 0.610 (0.613)	Data 0.001 (0.001)	Loss 1.9806 (2.0270)	Prec@1 47.000 (47.696)	Prec@5 80.500 (78.199)
Epoch: [48][8690/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 2.0075 (2.0269)	Prec@1 45.000 (47.698)	Prec@5 79.500 (78.200)
Epoch: [48][8700/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.9908 (2.0269)	Prec@1 51.500 (47.698)	Prec@5 77.500 (78.200)
Epoch: [48][8710/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.1936 (2.0269)	Prec@1 45.500 (47.698)	Prec@5 75.500 (78.200)
Epoch: [48][8720/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.1279 (2.0270)	Prec@1 44.000 (47.699)	Prec@5 77.000 (78.200)
Epoch: [48][8730/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.9533 (2.0270)	Prec@1 48.500 (47.698)	Prec@5 80.000 (78.200)
Epoch: [48][8740/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.1827 (2.0270)	Prec@1 42.000 (47.698)	Prec@5 76.000 (78.200)
Epoch: [48][8750/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.7346 (2.0270)	Prec@1 57.500 (47.699)	Prec@5 83.500 (78.201)
Epoch: [48][8760/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.0388 (2.0270)	Prec@1 50.500 (47.699)	Prec@5 78.500 (78.201)
Epoch: [48][8770/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 2.0679 (2.0270)	Prec@1 49.000 (47.699)	Prec@5 79.000 (78.201)
Epoch: [48][8780/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.0916 (2.0270)	Prec@1 48.000 (47.699)	Prec@5 74.500 (78.199)
Epoch: [48][8790/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.0519 (2.0272)	Prec@1 45.500 (47.696)	Prec@5 76.500 (78.198)
Epoch: [48][8800/9018]	Time 0.718 (0.613)	Data 0.001 (0.001)	Loss 1.9625 (2.0272)	Prec@1 47.500 (47.697)	Prec@5 83.000 (78.197)
Epoch: [48][8810/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.0413 (2.0271)	Prec@1 47.000 (47.697)	Prec@5 78.500 (78.198)
Epoch: [48][8820/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 2.0131 (2.0271)	Prec@1 47.000 (47.698)	Prec@5 78.000 (78.198)
Epoch: [48][8830/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.9104 (2.0271)	Prec@1 48.000 (47.697)	Prec@5 81.000 (78.200)
Epoch: [48][8840/9018]	Time 0.637 (0.613)	Data 0.001 (0.001)	Loss 2.1015 (2.0271)	Prec@1 46.000 (47.696)	Prec@5 81.500 (78.201)
Epoch: [48][8850/9018]	Time 0.731 (0.613)	Data 0.001 (0.001)	Loss 1.9037 (2.0270)	Prec@1 51.000 (47.698)	Prec@5 76.000 (78.201)
Epoch: [48][8860/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.0823 (2.0270)	Prec@1 44.000 (47.699)	Prec@5 80.000 (78.202)
Epoch: [48][8870/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.7983 (2.0270)	Prec@1 53.500 (47.698)	Prec@5 80.000 (78.202)
Epoch: [48][8880/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 1.9663 (2.0270)	Prec@1 49.000 (47.698)	Prec@5 77.000 (78.202)
Epoch: [48][8890/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.0867 (2.0269)	Prec@1 46.500 (47.701)	Prec@5 75.500 (78.203)
Epoch: [48][8900/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 1.8946 (2.0270)	Prec@1 51.000 (47.700)	Prec@5 80.000 (78.202)
Epoch: [48][8910/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.9868 (2.0270)	Prec@1 48.500 (47.701)	Prec@5 76.000 (78.203)
Epoch: [48][8920/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.9758 (2.0270)	Prec@1 44.500 (47.701)	Prec@5 80.000 (78.200)
Epoch: [48][8930/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.0895 (2.0270)	Prec@1 51.000 (47.700)	Prec@5 76.000 (78.202)
Epoch: [48][8940/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 1.9801 (2.0271)	Prec@1 49.500 (47.697)	Prec@5 82.000 (78.201)
Epoch: [48][8950/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 1.8841 (2.0271)	Prec@1 54.000 (47.697)	Prec@5 77.500 (78.200)
Epoch: [48][8960/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.0357 (2.0271)	Prec@1 47.000 (47.698)	Prec@5 77.500 (78.200)
Epoch: [48][8970/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.0120 (2.0272)	Prec@1 49.000 (47.697)	Prec@5 77.000 (78.199)
Epoch: [48][8980/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.8602 (2.0272)	Prec@1 46.000 (47.696)	Prec@5 80.500 (78.198)
Epoch: [48][8990/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.1638 (2.0272)	Prec@1 44.500 (47.696)	Prec@5 75.500 (78.198)
Epoch: [48][9000/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.1729 (2.0272)	Prec@1 47.000 (47.696)	Prec@5 79.500 (78.198)
Epoch: [48][9010/9018]	Time 0.617 (0.613)	Data 0.000 (0.001)	Loss 2.0686 (2.0273)	Prec@1 42.500 (47.694)	Prec@5 80.500 (78.199)
Test: [0/183]	Time 1.309 (1.309)	Loss 2.7128 (2.7128)	Prec@1 30.500 (30.500)	Prec@5 66.000 (66.000)
Test: [10/183]	Time 0.186 (0.291)	Loss 1.8332 (1.7969)	Prec@1 54.000 (51.318)	Prec@5 80.500 (82.591)
Test: [20/183]	Time 0.185 (0.247)	Loss 2.1148 (1.7497)	Prec@1 47.500 (52.619)	Prec@5 79.000 (83.333)
Test: [30/183]	Time 0.239 (0.230)	Loss 2.2428 (1.7357)	Prec@1 31.000 (52.806)	Prec@5 78.500 (84.000)
Test: [40/183]	Time 0.180 (0.220)	Loss 2.5021 (1.7420)	Prec@1 34.000 (53.366)	Prec@5 78.500 (83.439)
Test: [50/183]	Time 0.180 (0.216)	Loss 1.7509 (1.7311)	Prec@1 48.000 (53.794)	Prec@5 85.000 (83.627)
Test: [60/183]	Time 0.188 (0.211)	Loss 2.3726 (1.7981)	Prec@1 38.500 (51.770)	Prec@5 74.500 (82.852)
Test: [70/183]	Time 0.190 (0.209)	Loss 1.7083 (1.7752)	Prec@1 58.000 (52.176)	Prec@5 84.500 (83.345)
Test: [80/183]	Time 0.244 (0.207)	Loss 1.3825 (1.7534)	Prec@1 62.000 (52.519)	Prec@5 93.500 (83.519)
Test: [90/183]	Time 0.182 (0.205)	Loss 1.9596 (1.7414)	Prec@1 53.500 (52.775)	Prec@5 80.000 (83.780)
Test: [100/183]	Time 0.184 (0.204)	Loss 0.7525 (1.7496)	Prec@1 77.000 (52.574)	Prec@5 95.000 (83.653)
Test: [110/183]	Time 0.181 (0.203)	Loss 0.7530 (1.7532)	Prec@1 80.500 (52.586)	Prec@5 96.500 (83.486)
Test: [120/183]	Time 0.192 (0.202)	Loss 2.3769 (1.7594)	Prec@1 40.500 (52.331)	Prec@5 69.000 (83.475)
Test: [130/183]	Time 0.182 (0.201)	Loss 3.0666 (1.7627)	Prec@1 20.500 (52.252)	Prec@5 69.500 (83.595)
Test: [140/183]	Time 0.184 (0.201)	Loss 1.5247 (1.7500)	Prec@1 61.500 (52.645)	Prec@5 85.500 (83.812)
Test: [150/183]	Time 0.180 (0.200)	Loss 0.7487 (1.7480)	Prec@1 79.500 (52.775)	Prec@5 98.500 (83.834)
Test: [160/183]	Time 0.191 (0.199)	Loss 1.7584 (1.7404)	Prec@1 49.500 (53.065)	Prec@5 80.000 (83.929)
Test: [170/183]	Time 0.192 (0.200)	Loss 2.4145 (1.7588)	Prec@1 37.000 (52.640)	Prec@5 74.500 (83.605)
Test: [180/183]	Time 0.180 (0.199)	Loss 2.2163 (1.7666)	Prec@1 40.000 (52.519)	Prec@5 79.500 (83.464)
 * Prec@1 52.510 Prec@5 83.471
Epoch: [49][0/9018]	Time 2.766 (2.766)	Data 2.123 (2.123)	Loss 1.9319 (1.9319)	Prec@1 50.000 (50.000)	Prec@5 78.500 (78.500)
Epoch: [49][10/9018]	Time 0.593 (0.792)	Data 0.001 (0.194)	Loss 1.9902 (2.0045)	Prec@1 46.000 (47.773)	Prec@5 81.500 (78.000)
Epoch: [49][20/9018]	Time 0.593 (0.708)	Data 0.001 (0.102)	Loss 2.0200 (1.9773)	Prec@1 46.000 (48.571)	Prec@5 77.500 (78.524)
Epoch: [49][30/9018]	Time 0.604 (0.676)	Data 0.001 (0.069)	Loss 1.9379 (1.9842)	Prec@1 52.000 (48.177)	Prec@5 77.000 (78.339)
Epoch: [49][40/9018]	Time 0.591 (0.657)	Data 0.001 (0.053)	Loss 1.8924 (1.9861)	Prec@1 51.000 (48.524)	Prec@5 79.000 (78.305)
Epoch: [49][50/9018]	Time 0.608 (0.648)	Data 0.001 (0.042)	Loss 1.6538 (1.9888)	Prec@1 58.500 (48.343)	Prec@5 83.500 (78.471)
Epoch: [49][60/9018]	Time 0.606 (0.640)	Data 0.001 (0.036)	Loss 2.0756 (1.9966)	Prec@1 46.500 (48.016)	Prec@5 76.000 (78.377)
Epoch: [49][70/9018]	Time 0.595 (0.636)	Data 0.001 (0.031)	Loss 1.9206 (2.0051)	Prec@1 51.500 (47.880)	Prec@5 79.000 (78.120)
Epoch: [49][80/9018]	Time 0.599 (0.633)	Data 0.001 (0.027)	Loss 1.9471 (2.0062)	Prec@1 54.000 (48.086)	Prec@5 77.000 (78.210)
Epoch: [49][90/9018]	Time 0.618 (0.631)	Data 0.001 (0.024)	Loss 1.9092 (2.0051)	Prec@1 50.000 (48.110)	Prec@5 78.000 (78.264)
Epoch: [49][100/9018]	Time 0.594 (0.629)	Data 0.001 (0.022)	Loss 2.2521 (2.0067)	Prec@1 41.500 (48.163)	Prec@5 70.000 (78.257)
Epoch: [49][110/9018]	Time 0.605 (0.627)	Data 0.001 (0.020)	Loss 1.9755 (2.0118)	Prec@1 45.500 (48.059)	Prec@5 81.500 (78.230)
Epoch: [49][120/9018]	Time 0.604 (0.626)	Data 0.001 (0.018)	Loss 1.7843 (2.0133)	Prec@1 52.500 (48.012)	Prec@5 86.000 (78.231)
Epoch: [49][130/9018]	Time 0.594 (0.625)	Data 0.001 (0.017)	Loss 1.7663 (2.0100)	Prec@1 53.000 (47.996)	Prec@5 82.500 (78.317)
Epoch: [49][140/9018]	Time 0.600 (0.624)	Data 0.001 (0.016)	Loss 1.8200 (2.0070)	Prec@1 55.500 (48.099)	Prec@5 83.000 (78.340)
Epoch: [49][150/9018]	Time 0.600 (0.623)	Data 0.001 (0.015)	Loss 1.9246 (2.0031)	Prec@1 50.500 (48.182)	Prec@5 78.000 (78.374)
Epoch: [49][160/9018]	Time 0.593 (0.622)	Data 0.001 (0.014)	Loss 1.5722 (1.9961)	Prec@1 57.500 (48.326)	Prec@5 85.000 (78.481)
Epoch: [49][170/9018]	Time 0.622 (0.622)	Data 0.001 (0.013)	Loss 1.9188 (1.9974)	Prec@1 50.000 (48.219)	Prec@5 78.500 (78.547)
Epoch: [49][180/9018]	Time 0.590 (0.622)	Data 0.001 (0.013)	Loss 1.8898 (1.9976)	Prec@1 51.500 (48.268)	Prec@5 77.500 (78.530)
Epoch: [49][190/9018]	Time 0.600 (0.620)	Data 0.001 (0.012)	Loss 1.8845 (1.9946)	Prec@1 50.000 (48.385)	Prec@5 77.500 (78.576)
Epoch: [49][200/9018]	Time 0.609 (0.620)	Data 0.001 (0.011)	Loss 1.8156 (1.9980)	Prec@1 50.500 (48.274)	Prec@5 83.000 (78.565)
Epoch: [49][210/9018]	Time 0.727 (0.620)	Data 0.001 (0.011)	Loss 1.9523 (1.9980)	Prec@1 50.000 (48.310)	Prec@5 79.000 (78.573)
Epoch: [49][220/9018]	Time 0.605 (0.619)	Data 0.001 (0.010)	Loss 1.9476 (1.9960)	Prec@1 46.500 (48.344)	Prec@5 80.500 (78.609)
Epoch: [49][230/9018]	Time 0.603 (0.619)	Data 0.001 (0.010)	Loss 2.0023 (1.9936)	Prec@1 48.000 (48.377)	Prec@5 76.000 (78.652)
Epoch: [49][240/9018]	Time 0.606 (0.618)	Data 0.001 (0.010)	Loss 2.0915 (1.9965)	Prec@1 51.000 (48.322)	Prec@5 78.000 (78.618)
Epoch: [49][250/9018]	Time 0.613 (0.618)	Data 0.001 (0.009)	Loss 1.7689 (1.9973)	Prec@1 51.000 (48.305)	Prec@5 85.500 (78.635)
Epoch: [49][260/9018]	Time 0.719 (0.618)	Data 0.001 (0.009)	Loss 2.0943 (1.9992)	Prec@1 50.000 (48.297)	Prec@5 75.000 (78.592)
Epoch: [49][270/9018]	Time 0.600 (0.617)	Data 0.001 (0.009)	Loss 2.0437 (1.9973)	Prec@1 48.000 (48.319)	Prec@5 80.500 (78.646)
Epoch: [49][280/9018]	Time 0.599 (0.617)	Data 0.001 (0.008)	Loss 1.8919 (1.9946)	Prec@1 49.000 (48.301)	Prec@5 80.500 (78.726)
Epoch: [49][290/9018]	Time 0.619 (0.617)	Data 0.001 (0.008)	Loss 1.9860 (1.9944)	Prec@1 49.500 (48.352)	Prec@5 80.500 (78.713)
Epoch: [49][300/9018]	Time 0.607 (0.617)	Data 0.001 (0.008)	Loss 1.9898 (1.9944)	Prec@1 49.000 (48.372)	Prec@5 78.500 (78.693)
Epoch: [49][310/9018]	Time 0.606 (0.617)	Data 0.001 (0.008)	Loss 1.9468 (1.9967)	Prec@1 50.000 (48.349)	Prec@5 79.000 (78.675)
Epoch: [49][320/9018]	Time 0.601 (0.616)	Data 0.001 (0.007)	Loss 1.7692 (1.9976)	Prec@1 51.500 (48.346)	Prec@5 85.000 (78.653)
Epoch: [49][330/9018]	Time 0.599 (0.616)	Data 0.001 (0.007)	Loss 2.0571 (1.9982)	Prec@1 46.000 (48.329)	Prec@5 82.000 (78.639)
Epoch: [49][340/9018]	Time 0.601 (0.616)	Data 0.001 (0.007)	Loss 1.9160 (1.9972)	Prec@1 51.500 (48.353)	Prec@5 80.500 (78.680)
Epoch: [49][350/9018]	Time 0.598 (0.616)	Data 0.001 (0.007)	Loss 2.0579 (1.9987)	Prec@1 41.500 (48.342)	Prec@5 77.500 (78.657)
Epoch: [49][360/9018]	Time 0.618 (0.616)	Data 0.001 (0.007)	Loss 1.8873 (1.9972)	Prec@1 51.500 (48.353)	Prec@5 79.000 (78.680)
Epoch: [49][370/9018]	Time 0.602 (0.615)	Data 0.001 (0.006)	Loss 2.2652 (1.9989)	Prec@1 49.000 (48.334)	Prec@5 74.500 (78.612)
Epoch: [49][380/9018]	Time 0.595 (0.615)	Data 0.001 (0.006)	Loss 1.9467 (1.9982)	Prec@1 50.000 (48.310)	Prec@5 81.000 (78.631)
Epoch: [49][390/9018]	Time 0.601 (0.615)	Data 0.001 (0.006)	Loss 1.8950 (1.9988)	Prec@1 47.500 (48.295)	Prec@5 81.500 (78.634)
Epoch: [49][400/9018]	Time 0.601 (0.615)	Data 0.001 (0.006)	Loss 2.1605 (2.0006)	Prec@1 41.500 (48.272)	Prec@5 74.000 (78.612)
Epoch: [49][410/9018]	Time 0.617 (0.615)	Data 0.001 (0.006)	Loss 1.9181 (2.0036)	Prec@1 53.500 (48.217)	Prec@5 78.500 (78.547)
Epoch: [49][420/9018]	Time 0.598 (0.615)	Data 0.001 (0.006)	Loss 1.8556 (2.0045)	Prec@1 50.000 (48.191)	Prec@5 79.000 (78.521)
Epoch: [49][430/9018]	Time 0.598 (0.615)	Data 0.001 (0.006)	Loss 2.0797 (2.0060)	Prec@1 47.000 (48.166)	Prec@5 74.000 (78.497)
Epoch: [49][440/9018]	Time 0.598 (0.614)	Data 0.001 (0.006)	Loss 2.0325 (2.0067)	Prec@1 52.000 (48.194)	Prec@5 79.000 (78.480)
Epoch: [49][450/9018]	Time 0.605 (0.614)	Data 0.001 (0.005)	Loss 2.2081 (2.0078)	Prec@1 47.000 (48.164)	Prec@5 73.000 (78.457)
Epoch: [49][460/9018]	Time 0.594 (0.614)	Data 0.001 (0.005)	Loss 1.9874 (2.0078)	Prec@1 47.000 (48.137)	Prec@5 76.500 (78.447)
Epoch: [49][470/9018]	Time 0.603 (0.614)	Data 0.001 (0.005)	Loss 2.0211 (2.0075)	Prec@1 48.000 (48.145)	Prec@5 79.000 (78.465)
Epoch: [49][480/9018]	Time 0.594 (0.614)	Data 0.001 (0.005)	Loss 2.0587 (2.0076)	Prec@1 44.500 (48.160)	Prec@5 76.000 (78.467)
Epoch: [49][490/9018]	Time 0.627 (0.614)	Data 0.001 (0.005)	Loss 1.9136 (2.0077)	Prec@1 50.000 (48.146)	Prec@5 78.500 (78.467)
Epoch: [49][500/9018]	Time 0.595 (0.614)	Data 0.001 (0.005)	Loss 2.1219 (2.0083)	Prec@1 43.000 (48.140)	Prec@5 79.500 (78.455)
Epoch: [49][510/9018]	Time 0.605 (0.614)	Data 0.001 (0.005)	Loss 1.9315 (2.0076)	Prec@1 48.500 (48.148)	Prec@5 76.000 (78.442)
Epoch: [49][520/9018]	Time 0.602 (0.613)	Data 0.001 (0.005)	Loss 2.0811 (2.0090)	Prec@1 44.000 (48.119)	Prec@5 77.000 (78.415)
Epoch: [49][530/9018]	Time 0.599 (0.613)	Data 0.001 (0.005)	Loss 2.1975 (2.0090)	Prec@1 40.500 (48.120)	Prec@5 75.000 (78.411)
Epoch: [49][540/9018]	Time 0.722 (0.614)	Data 0.001 (0.005)	Loss 2.0261 (2.0099)	Prec@1 47.000 (48.108)	Prec@5 74.000 (78.380)
Epoch: [49][550/9018]	Time 0.623 (0.613)	Data 0.001 (0.005)	Loss 2.0107 (2.0088)	Prec@1 49.000 (48.128)	Prec@5 80.000 (78.382)
Epoch: [49][560/9018]	Time 0.604 (0.613)	Data 0.001 (0.005)	Loss 1.8900 (2.0096)	Prec@1 48.500 (48.095)	Prec@5 82.000 (78.355)
Epoch: [49][570/9018]	Time 0.601 (0.613)	Data 0.001 (0.004)	Loss 2.1198 (2.0096)	Prec@1 43.500 (48.084)	Prec@5 79.000 (78.372)
Epoch: [49][580/9018]	Time 0.612 (0.613)	Data 0.001 (0.004)	Loss 2.1328 (2.0099)	Prec@1 41.500 (48.072)	Prec@5 76.500 (78.367)
Epoch: [49][590/9018]	Time 0.724 (0.613)	Data 0.001 (0.004)	Loss 2.0134 (2.0088)	Prec@1 48.500 (48.085)	Prec@5 80.000 (78.402)
Epoch: [49][600/9018]	Time 0.621 (0.613)	Data 0.001 (0.004)	Loss 1.9807 (2.0078)	Prec@1 49.500 (48.109)	Prec@5 77.500 (78.437)
Epoch: [49][610/9018]	Time 0.594 (0.613)	Data 0.001 (0.004)	Loss 2.2087 (2.0073)	Prec@1 46.500 (48.129)	Prec@5 75.000 (78.450)
Epoch: [49][620/9018]	Time 0.600 (0.613)	Data 0.001 (0.004)	Loss 1.8712 (2.0069)	Prec@1 49.500 (48.133)	Prec@5 83.500 (78.469)
Epoch: [49][630/9018]	Time 0.594 (0.613)	Data 0.001 (0.004)	Loss 1.8026 (2.0057)	Prec@1 49.500 (48.151)	Prec@5 81.500 (78.511)
Epoch: [49][640/9018]	Time 0.597 (0.613)	Data 0.001 (0.004)	Loss 2.0077 (2.0057)	Prec@1 47.500 (48.135)	Prec@5 76.500 (78.502)
Epoch: [49][650/9018]	Time 0.623 (0.613)	Data 0.001 (0.004)	Loss 2.1081 (2.0054)	Prec@1 49.500 (48.148)	Prec@5 74.500 (78.515)
Epoch: [49][660/9018]	Time 0.594 (0.613)	Data 0.001 (0.004)	Loss 1.8917 (2.0042)	Prec@1 46.000 (48.155)	Prec@5 81.500 (78.534)
Epoch: [49][670/9018]	Time 0.597 (0.613)	Data 0.001 (0.004)	Loss 2.1202 (2.0051)	Prec@1 50.500 (48.152)	Prec@5 73.000 (78.510)
Epoch: [49][680/9018]	Time 0.603 (0.613)	Data 0.001 (0.004)	Loss 1.9997 (2.0054)	Prec@1 45.000 (48.164)	Prec@5 82.000 (78.503)
Epoch: [49][690/9018]	Time 0.599 (0.613)	Data 0.001 (0.004)	Loss 2.1167 (2.0068)	Prec@1 47.000 (48.137)	Prec@5 74.500 (78.474)
Epoch: [49][700/9018]	Time 0.593 (0.613)	Data 0.001 (0.004)	Loss 1.8803 (2.0058)	Prec@1 51.000 (48.160)	Prec@5 79.000 (78.492)
Epoch: [49][710/9018]	Time 0.610 (0.613)	Data 0.001 (0.004)	Loss 2.0015 (2.0052)	Prec@1 48.500 (48.165)	Prec@5 80.000 (78.506)
Epoch: [49][720/9018]	Time 0.603 (0.613)	Data 0.001 (0.004)	Loss 2.1396 (2.0055)	Prec@1 48.000 (48.157)	Prec@5 75.000 (78.508)
Epoch: [49][730/9018]	Time 0.602 (0.613)	Data 0.001 (0.004)	Loss 1.9603 (2.0050)	Prec@1 53.500 (48.171)	Prec@5 80.000 (78.518)
Epoch: [49][740/9018]	Time 0.598 (0.613)	Data 0.001 (0.004)	Loss 1.8958 (2.0045)	Prec@1 47.000 (48.172)	Prec@5 80.500 (78.536)
Epoch: [49][750/9018]	Time 0.603 (0.613)	Data 0.001 (0.004)	Loss 2.0241 (2.0054)	Prec@1 51.000 (48.158)	Prec@5 76.500 (78.511)
Epoch: [49][760/9018]	Time 0.601 (0.613)	Data 0.001 (0.004)	Loss 2.0440 (2.0046)	Prec@1 47.500 (48.172)	Prec@5 80.000 (78.526)
Epoch: [49][770/9018]	Time 0.603 (0.612)	Data 0.001 (0.004)	Loss 2.0668 (2.0055)	Prec@1 48.000 (48.165)	Prec@5 79.000 (78.510)
Epoch: [49][780/9018]	Time 0.595 (0.612)	Data 0.001 (0.003)	Loss 1.9497 (2.0047)	Prec@1 47.000 (48.191)	Prec@5 78.500 (78.526)
Epoch: [49][790/9018]	Time 0.626 (0.613)	Data 0.001 (0.003)	Loss 1.9987 (2.0049)	Prec@1 47.000 (48.174)	Prec@5 80.000 (78.520)
Epoch: [49][800/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 1.9356 (2.0051)	Prec@1 50.500 (48.156)	Prec@5 81.000 (78.527)
Epoch: [49][810/9018]	Time 0.624 (0.612)	Data 0.001 (0.003)	Loss 2.0096 (2.0057)	Prec@1 46.500 (48.128)	Prec@5 76.500 (78.518)
Epoch: [49][820/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.1484 (2.0052)	Prec@1 45.000 (48.130)	Prec@5 77.500 (78.529)
Epoch: [49][830/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 1.8692 (2.0049)	Prec@1 51.500 (48.135)	Prec@5 81.000 (78.541)
Epoch: [49][840/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 2.1189 (2.0055)	Prec@1 46.500 (48.120)	Prec@5 76.000 (78.529)
Epoch: [49][850/9018]	Time 0.628 (0.612)	Data 0.001 (0.003)	Loss 1.8594 (2.0054)	Prec@1 49.500 (48.112)	Prec@5 80.000 (78.538)
Epoch: [49][860/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 1.8885 (2.0048)	Prec@1 49.000 (48.130)	Prec@5 80.500 (78.549)
Epoch: [49][870/9018]	Time 0.728 (0.612)	Data 0.001 (0.003)	Loss 2.0039 (2.0043)	Prec@1 45.500 (48.131)	Prec@5 79.000 (78.568)
Epoch: [49][880/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 1.8796 (2.0042)	Prec@1 49.500 (48.127)	Prec@5 78.000 (78.568)
Epoch: [49][890/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.0919 (2.0040)	Prec@1 46.000 (48.126)	Prec@5 79.500 (78.585)
Epoch: [49][900/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 1.9827 (2.0045)	Prec@1 55.500 (48.125)	Prec@5 78.000 (78.580)
Epoch: [49][910/9018]	Time 0.624 (0.612)	Data 0.001 (0.003)	Loss 1.7653 (2.0036)	Prec@1 55.500 (48.150)	Prec@5 81.500 (78.585)
Epoch: [49][920/9018]	Time 0.718 (0.612)	Data 0.001 (0.003)	Loss 1.9485 (2.0039)	Prec@1 47.000 (48.136)	Prec@5 82.500 (78.585)
Epoch: [49][930/9018]	Time 0.599 (0.612)	Data 0.002 (0.003)	Loss 2.0638 (2.0044)	Prec@1 48.000 (48.125)	Prec@5 76.500 (78.576)
Epoch: [49][940/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 2.0862 (2.0046)	Prec@1 50.000 (48.129)	Prec@5 78.500 (78.573)
Epoch: [49][950/9018]	Time 0.610 (0.612)	Data 0.001 (0.003)	Loss 1.8716 (2.0038)	Prec@1 47.500 (48.130)	Prec@5 80.000 (78.589)
Epoch: [49][960/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 1.8832 (2.0039)	Prec@1 49.000 (48.138)	Prec@5 81.500 (78.587)
Epoch: [49][970/9018]	Time 0.605 (0.612)	Data 0.001 (0.003)	Loss 1.9242 (2.0046)	Prec@1 50.500 (48.125)	Prec@5 77.500 (78.571)
Epoch: [49][980/9018]	Time 0.595 (0.612)	Data 0.001 (0.003)	Loss 2.0413 (2.0043)	Prec@1 48.500 (48.128)	Prec@5 78.500 (78.585)
Epoch: [49][990/9018]	Time 0.595 (0.612)	Data 0.001 (0.003)	Loss 2.0405 (2.0039)	Prec@1 51.500 (48.132)	Prec@5 79.000 (78.604)
Epoch: [49][1000/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.0003 (2.0036)	Prec@1 51.500 (48.151)	Prec@5 77.500 (78.602)
Epoch: [49][1010/9018]	Time 0.628 (0.612)	Data 0.001 (0.003)	Loss 2.0183 (2.0036)	Prec@1 44.500 (48.146)	Prec@5 80.500 (78.599)
Epoch: [49][1020/9018]	Time 0.603 (0.612)	Data 0.001 (0.003)	Loss 1.9218 (2.0039)	Prec@1 49.000 (48.148)	Prec@5 79.500 (78.590)
Epoch: [49][1030/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 1.7837 (2.0043)	Prec@1 51.500 (48.132)	Prec@5 81.500 (78.578)
Epoch: [49][1040/9018]	Time 0.605 (0.612)	Data 0.001 (0.003)	Loss 2.0203 (2.0048)	Prec@1 48.500 (48.129)	Prec@5 79.000 (78.574)
Epoch: [49][1050/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 1.8747 (2.0047)	Prec@1 47.000 (48.124)	Prec@5 81.000 (78.578)
Epoch: [49][1060/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.0797 (2.0052)	Prec@1 45.000 (48.115)	Prec@5 75.500 (78.566)
Epoch: [49][1070/9018]	Time 0.630 (0.612)	Data 0.001 (0.003)	Loss 2.3234 (2.0048)	Prec@1 43.500 (48.127)	Prec@5 68.000 (78.566)
Epoch: [49][1080/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 1.8932 (2.0043)	Prec@1 51.000 (48.142)	Prec@5 83.500 (78.569)
Epoch: [49][1090/9018]	Time 0.602 (0.612)	Data 0.001 (0.003)	Loss 2.0535 (2.0045)	Prec@1 46.000 (48.144)	Prec@5 77.500 (78.568)
Epoch: [49][1100/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 1.9842 (2.0046)	Prec@1 47.500 (48.136)	Prec@5 80.000 (78.562)
Epoch: [49][1110/9018]	Time 0.596 (0.612)	Data 0.001 (0.003)	Loss 2.2005 (2.0045)	Prec@1 44.000 (48.143)	Prec@5 76.500 (78.563)
Epoch: [49][1120/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 1.7190 (2.0040)	Prec@1 55.000 (48.163)	Prec@5 83.000 (78.565)
Epoch: [49][1130/9018]	Time 0.604 (0.612)	Data 0.001 (0.003)	Loss 1.9732 (2.0037)	Prec@1 47.500 (48.168)	Prec@5 78.500 (78.573)
Epoch: [49][1140/9018]	Time 0.592 (0.612)	Data 0.001 (0.003)	Loss 1.8637 (2.0037)	Prec@1 47.500 (48.171)	Prec@5 79.000 (78.574)
Epoch: [49][1150/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 2.0893 (2.0038)	Prec@1 46.500 (48.175)	Prec@5 77.500 (78.572)
Epoch: [49][1160/9018]	Time 0.600 (0.612)	Data 0.001 (0.003)	Loss 2.0079 (2.0038)	Prec@1 47.000 (48.172)	Prec@5 79.500 (78.572)
Epoch: [49][1170/9018]	Time 0.607 (0.612)	Data 0.001 (0.003)	Loss 2.2102 (2.0042)	Prec@1 47.500 (48.167)	Prec@5 76.000 (78.567)
Epoch: [49][1180/9018]	Time 0.605 (0.612)	Data 0.001 (0.003)	Loss 2.2448 (2.0040)	Prec@1 44.500 (48.166)	Prec@5 70.500 (78.564)
Epoch: [49][1190/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 1.8795 (2.0045)	Prec@1 46.500 (48.151)	Prec@5 81.500 (78.559)
Epoch: [49][1200/9018]	Time 0.726 (0.612)	Data 0.001 (0.003)	Loss 2.0836 (2.0045)	Prec@1 46.500 (48.147)	Prec@5 76.500 (78.554)
Epoch: [49][1210/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 1.8574 (2.0046)	Prec@1 50.000 (48.149)	Prec@5 81.000 (78.549)
Epoch: [49][1220/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 1.8730 (2.0048)	Prec@1 49.000 (48.146)	Prec@5 84.500 (78.548)
Epoch: [49][1230/9018]	Time 0.611 (0.612)	Data 0.001 (0.002)	Loss 2.1570 (2.0047)	Prec@1 47.000 (48.153)	Prec@5 76.000 (78.550)
Epoch: [49][1240/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.0601 (2.0042)	Prec@1 48.000 (48.160)	Prec@5 80.000 (78.564)
Epoch: [49][1250/9018]	Time 0.718 (0.612)	Data 0.001 (0.002)	Loss 1.9306 (2.0045)	Prec@1 52.500 (48.161)	Prec@5 77.000 (78.549)
Epoch: [49][1260/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.7338 (2.0047)	Prec@1 55.500 (48.152)	Prec@5 83.500 (78.546)
Epoch: [49][1270/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.9180 (2.0041)	Prec@1 48.500 (48.162)	Prec@5 79.500 (78.542)
Epoch: [49][1280/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.2238 (2.0047)	Prec@1 48.000 (48.155)	Prec@5 77.500 (78.536)
Epoch: [49][1290/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 1.8821 (2.0040)	Prec@1 51.000 (48.164)	Prec@5 80.000 (78.546)
Epoch: [49][1300/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.2750 (2.0039)	Prec@1 42.000 (48.155)	Prec@5 74.000 (78.544)
Epoch: [49][1310/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 1.8517 (2.0037)	Prec@1 50.000 (48.166)	Prec@5 79.000 (78.543)
Epoch: [49][1320/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 2.0013 (2.0036)	Prec@1 48.500 (48.170)	Prec@5 80.500 (78.544)
Epoch: [49][1330/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 2.0825 (2.0039)	Prec@1 48.000 (48.166)	Prec@5 76.000 (78.536)
Epoch: [49][1340/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.1017 (2.0039)	Prec@1 46.000 (48.166)	Prec@5 78.000 (78.539)
Epoch: [49][1350/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.3075 (2.0042)	Prec@1 42.500 (48.157)	Prec@5 69.500 (78.521)
Epoch: [49][1360/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 2.2260 (2.0045)	Prec@1 43.500 (48.152)	Prec@5 73.500 (78.518)
Epoch: [49][1370/9018]	Time 0.620 (0.611)	Data 0.001 (0.002)	Loss 1.8847 (2.0042)	Prec@1 51.000 (48.156)	Prec@5 82.000 (78.533)
Epoch: [49][1380/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 2.1373 (2.0043)	Prec@1 44.500 (48.157)	Prec@5 78.500 (78.535)
Epoch: [49][1390/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.8831 (2.0038)	Prec@1 51.500 (48.166)	Prec@5 81.000 (78.545)
Epoch: [49][1400/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 1.6985 (2.0041)	Prec@1 55.000 (48.168)	Prec@5 83.000 (78.541)
Epoch: [49][1410/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 2.0328 (2.0039)	Prec@1 49.500 (48.169)	Prec@5 79.500 (78.542)
Epoch: [49][1420/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 1.9767 (2.0040)	Prec@1 47.500 (48.171)	Prec@5 78.500 (78.539)
Epoch: [49][1430/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 2.0388 (2.0037)	Prec@1 50.000 (48.175)	Prec@5 75.500 (78.542)
Epoch: [49][1440/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.7966 (2.0037)	Prec@1 52.000 (48.177)	Prec@5 82.000 (78.541)
Epoch: [49][1450/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.9915 (2.0041)	Prec@1 44.000 (48.172)	Prec@5 80.000 (78.535)
Epoch: [49][1460/9018]	Time 0.613 (0.611)	Data 0.001 (0.002)	Loss 2.2700 (2.0039)	Prec@1 41.500 (48.179)	Prec@5 76.000 (78.543)
Epoch: [49][1470/9018]	Time 0.627 (0.611)	Data 0.001 (0.002)	Loss 2.0767 (2.0037)	Prec@1 50.000 (48.187)	Prec@5 75.000 (78.548)
Epoch: [49][1480/9018]	Time 0.628 (0.611)	Data 0.001 (0.002)	Loss 2.0577 (2.0039)	Prec@1 47.500 (48.192)	Prec@5 77.500 (78.543)
Epoch: [49][1490/9018]	Time 0.627 (0.611)	Data 0.001 (0.002)	Loss 2.1208 (2.0033)	Prec@1 47.000 (48.204)	Prec@5 77.500 (78.555)
Epoch: [49][1500/9018]	Time 0.615 (0.612)	Data 0.001 (0.002)	Loss 2.2858 (2.0037)	Prec@1 45.500 (48.193)	Prec@5 70.500 (78.541)
Epoch: [49][1510/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.0961 (2.0038)	Prec@1 44.000 (48.194)	Prec@5 77.000 (78.535)
Epoch: [49][1520/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 1.9311 (2.0037)	Prec@1 53.000 (48.197)	Prec@5 78.500 (78.538)
Epoch: [49][1530/9018]	Time 0.725 (0.612)	Data 0.001 (0.002)	Loss 1.9493 (2.0040)	Prec@1 49.500 (48.184)	Prec@5 82.000 (78.539)
Epoch: [49][1540/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.2848 (2.0039)	Prec@1 45.000 (48.185)	Prec@5 74.000 (78.540)
Epoch: [49][1550/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.8769 (2.0036)	Prec@1 49.500 (48.190)	Prec@5 79.500 (78.546)
Epoch: [49][1560/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 2.0401 (2.0037)	Prec@1 52.000 (48.186)	Prec@5 77.000 (78.536)
Epoch: [49][1570/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.1441 (2.0034)	Prec@1 44.000 (48.188)	Prec@5 74.000 (78.536)
Epoch: [49][1580/9018]	Time 0.715 (0.612)	Data 0.001 (0.002)	Loss 1.9893 (2.0038)	Prec@1 53.000 (48.183)	Prec@5 78.000 (78.530)
Epoch: [49][1590/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.9676 (2.0041)	Prec@1 49.000 (48.175)	Prec@5 81.000 (78.527)
Epoch: [49][1600/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.1423 (2.0042)	Prec@1 45.000 (48.166)	Prec@5 75.500 (78.532)
Epoch: [49][1610/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 2.1412 (2.0042)	Prec@1 44.500 (48.162)	Prec@5 74.000 (78.540)
Epoch: [49][1620/9018]	Time 0.592 (0.612)	Data 0.001 (0.002)	Loss 1.9768 (2.0040)	Prec@1 53.000 (48.163)	Prec@5 80.500 (78.548)
Epoch: [49][1630/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 1.8877 (2.0042)	Prec@1 49.500 (48.166)	Prec@5 81.000 (78.544)
Epoch: [49][1640/9018]	Time 0.628 (0.612)	Data 0.001 (0.002)	Loss 2.1193 (2.0045)	Prec@1 43.500 (48.160)	Prec@5 76.000 (78.538)
Epoch: [49][1650/9018]	Time 0.630 (0.612)	Data 0.001 (0.002)	Loss 2.1827 (2.0049)	Prec@1 46.000 (48.162)	Prec@5 76.000 (78.528)
Epoch: [49][1660/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.1172 (2.0051)	Prec@1 42.500 (48.157)	Prec@5 79.000 (78.529)
Epoch: [49][1670/9018]	Time 0.593 (0.612)	Data 0.001 (0.002)	Loss 2.0013 (2.0052)	Prec@1 47.500 (48.152)	Prec@5 79.000 (78.529)
Epoch: [49][1680/9018]	Time 0.619 (0.612)	Data 0.001 (0.002)	Loss 1.9731 (2.0050)	Prec@1 44.000 (48.148)	Prec@5 79.500 (78.532)
Epoch: [49][1690/9018]	Time 0.621 (0.612)	Data 0.001 (0.002)	Loss 1.8254 (2.0055)	Prec@1 52.000 (48.139)	Prec@5 83.000 (78.517)
Epoch: [49][1700/9018]	Time 0.591 (0.612)	Data 0.001 (0.002)	Loss 1.9034 (2.0054)	Prec@1 50.500 (48.136)	Prec@5 79.500 (78.513)
Epoch: [49][1710/9018]	Time 0.631 (0.612)	Data 0.001 (0.002)	Loss 1.9701 (2.0053)	Prec@1 45.000 (48.131)	Prec@5 82.000 (78.523)
Epoch: [49][1720/9018]	Time 0.628 (0.612)	Data 0.001 (0.002)	Loss 2.0424 (2.0050)	Prec@1 45.500 (48.140)	Prec@5 77.000 (78.528)
Epoch: [49][1730/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.9567 (2.0051)	Prec@1 51.000 (48.139)	Prec@5 80.500 (78.526)
Epoch: [49][1740/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.0054 (2.0048)	Prec@1 51.000 (48.147)	Prec@5 77.500 (78.531)
Epoch: [49][1750/9018]	Time 0.631 (0.612)	Data 0.001 (0.002)	Loss 1.8863 (2.0051)	Prec@1 51.000 (48.147)	Prec@5 80.500 (78.533)
Epoch: [49][1760/9018]	Time 0.627 (0.612)	Data 0.001 (0.002)	Loss 2.0708 (2.0054)	Prec@1 42.000 (48.142)	Prec@5 77.000 (78.524)
Epoch: [49][1770/9018]	Time 0.626 (0.612)	Data 0.001 (0.002)	Loss 2.0709 (2.0051)	Prec@1 47.500 (48.151)	Prec@5 78.000 (78.532)
Epoch: [49][1780/9018]	Time 0.625 (0.612)	Data 0.001 (0.002)	Loss 1.9095 (2.0055)	Prec@1 48.500 (48.138)	Prec@5 81.000 (78.528)
Epoch: [49][1790/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 2.1394 (2.0056)	Prec@1 40.500 (48.124)	Prec@5 75.500 (78.527)
Epoch: [49][1800/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 2.0049 (2.0056)	Prec@1 45.000 (48.127)	Prec@5 79.000 (78.528)
Epoch: [49][1810/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 1.8974 (2.0054)	Prec@1 45.000 (48.131)	Prec@5 81.500 (78.532)
Epoch: [49][1820/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.0365 (2.0057)	Prec@1 46.000 (48.123)	Prec@5 81.500 (78.532)
Epoch: [49][1830/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 2.0777 (2.0058)	Prec@1 46.500 (48.119)	Prec@5 77.000 (78.531)
Epoch: [49][1840/9018]	Time 0.626 (0.612)	Data 0.001 (0.002)	Loss 1.9668 (2.0056)	Prec@1 47.500 (48.115)	Prec@5 81.500 (78.532)
Epoch: [49][1850/9018]	Time 0.613 (0.612)	Data 0.001 (0.002)	Loss 2.0729 (2.0058)	Prec@1 45.000 (48.106)	Prec@5 75.500 (78.531)
Epoch: [49][1860/9018]	Time 0.733 (0.612)	Data 0.001 (0.002)	Loss 2.2178 (2.0061)	Prec@1 46.500 (48.101)	Prec@5 74.000 (78.519)
Epoch: [49][1870/9018]	Time 0.623 (0.612)	Data 0.001 (0.002)	Loss 2.0768 (2.0064)	Prec@1 50.000 (48.095)	Prec@5 75.000 (78.514)
Epoch: [49][1880/9018]	Time 0.623 (0.612)	Data 0.001 (0.002)	Loss 2.1494 (2.0066)	Prec@1 43.500 (48.093)	Prec@5 77.500 (78.513)
Epoch: [49][1890/9018]	Time 0.614 (0.612)	Data 0.001 (0.002)	Loss 1.9628 (2.0066)	Prec@1 51.500 (48.090)	Prec@5 80.500 (78.510)
Epoch: [49][1900/9018]	Time 0.631 (0.612)	Data 0.001 (0.002)	Loss 2.1409 (2.0066)	Prec@1 46.000 (48.091)	Prec@5 77.500 (78.513)
Epoch: [49][1910/9018]	Time 0.756 (0.612)	Data 0.001 (0.002)	Loss 1.9724 (2.0069)	Prec@1 47.500 (48.084)	Prec@5 80.500 (78.508)
Epoch: [49][1920/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 1.8139 (2.0066)	Prec@1 56.000 (48.103)	Prec@5 83.000 (78.507)
Epoch: [49][1930/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 1.7638 (2.0069)	Prec@1 52.500 (48.093)	Prec@5 82.500 (78.506)
Epoch: [49][1940/9018]	Time 0.631 (0.612)	Data 0.001 (0.002)	Loss 2.0743 (2.0072)	Prec@1 48.000 (48.089)	Prec@5 79.000 (78.500)
Epoch: [49][1950/9018]	Time 0.625 (0.612)	Data 0.001 (0.002)	Loss 2.2737 (2.0072)	Prec@1 45.500 (48.095)	Prec@5 73.000 (78.502)
Epoch: [49][1960/9018]	Time 0.623 (0.612)	Data 0.001 (0.002)	Loss 2.1009 (2.0072)	Prec@1 43.000 (48.092)	Prec@5 76.000 (78.501)
Epoch: [49][1970/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 1.9455 (2.0071)	Prec@1 50.500 (48.092)	Prec@5 80.000 (78.504)
Epoch: [49][1980/9018]	Time 0.625 (0.612)	Data 0.001 (0.002)	Loss 2.0570 (2.0076)	Prec@1 48.500 (48.084)	Prec@5 76.500 (78.498)
Epoch: [49][1990/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.0753 (2.0075)	Prec@1 46.500 (48.086)	Prec@5 78.000 (78.497)
Epoch: [49][2000/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 1.9580 (2.0074)	Prec@1 52.500 (48.086)	Prec@5 79.000 (78.493)
Epoch: [49][2010/9018]	Time 0.590 (0.612)	Data 0.001 (0.002)	Loss 1.7272 (2.0070)	Prec@1 57.000 (48.102)	Prec@5 83.000 (78.501)
Epoch: [49][2020/9018]	Time 0.626 (0.612)	Data 0.001 (0.002)	Loss 1.9817 (2.0067)	Prec@1 47.500 (48.107)	Prec@5 80.500 (78.511)
Epoch: [49][2030/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 2.0600 (2.0067)	Prec@1 52.000 (48.110)	Prec@5 77.000 (78.509)
Epoch: [49][2040/9018]	Time 0.621 (0.612)	Data 0.001 (0.002)	Loss 2.0569 (2.0068)	Prec@1 45.000 (48.102)	Prec@5 75.500 (78.507)
Epoch: [49][2050/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 2.0200 (2.0068)	Prec@1 44.500 (48.099)	Prec@5 79.500 (78.507)
Epoch: [49][2060/9018]	Time 0.636 (0.612)	Data 0.001 (0.002)	Loss 2.0144 (2.0067)	Prec@1 54.500 (48.109)	Prec@5 77.500 (78.511)
Epoch: [49][2070/9018]	Time 0.619 (0.612)	Data 0.001 (0.002)	Loss 2.2657 (2.0066)	Prec@1 44.500 (48.113)	Prec@5 76.000 (78.515)
Epoch: [49][2080/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.7924 (2.0067)	Prec@1 54.000 (48.108)	Prec@5 80.500 (78.516)
Epoch: [49][2090/9018]	Time 0.628 (0.612)	Data 0.001 (0.002)	Loss 2.0082 (2.0066)	Prec@1 47.000 (48.109)	Prec@5 80.000 (78.518)
Epoch: [49][2100/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 2.1748 (2.0067)	Prec@1 42.000 (48.102)	Prec@5 74.000 (78.517)
Epoch: [49][2110/9018]	Time 0.593 (0.612)	Data 0.001 (0.002)	Loss 1.8284 (2.0064)	Prec@1 52.500 (48.105)	Prec@5 80.500 (78.528)
Epoch: [49][2120/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.8471 (2.0064)	Prec@1 49.000 (48.104)	Prec@5 80.500 (78.523)
Epoch: [49][2130/9018]	Time 0.630 (0.612)	Data 0.001 (0.002)	Loss 1.8504 (2.0060)	Prec@1 51.000 (48.112)	Prec@5 80.500 (78.531)
Epoch: [49][2140/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 2.0320 (2.0061)	Prec@1 49.000 (48.115)	Prec@5 76.000 (78.528)
Epoch: [49][2150/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.9916 (2.0062)	Prec@1 50.000 (48.117)	Prec@5 77.500 (78.528)
Epoch: [49][2160/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 2.0517 (2.0062)	Prec@1 49.500 (48.120)	Prec@5 78.000 (78.530)
Epoch: [49][2170/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 2.0567 (2.0061)	Prec@1 48.000 (48.122)	Prec@5 79.500 (78.529)
Epoch: [49][2180/9018]	Time 0.631 (0.613)	Data 0.001 (0.002)	Loss 2.0435 (2.0060)	Prec@1 49.000 (48.123)	Prec@5 78.500 (78.530)
Epoch: [49][2190/9018]	Time 0.720 (0.613)	Data 0.001 (0.002)	Loss 2.0372 (2.0061)	Prec@1 46.000 (48.115)	Prec@5 78.000 (78.532)
Epoch: [49][2200/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 1.9683 (2.0059)	Prec@1 49.000 (48.121)	Prec@5 79.500 (78.537)
Epoch: [49][2210/9018]	Time 0.629 (0.613)	Data 0.001 (0.002)	Loss 2.0916 (2.0059)	Prec@1 42.500 (48.118)	Prec@5 78.500 (78.541)
Epoch: [49][2220/9018]	Time 0.611 (0.613)	Data 0.001 (0.002)	Loss 2.2896 (2.0061)	Prec@1 43.500 (48.114)	Prec@5 74.000 (78.536)
Epoch: [49][2230/9018]	Time 0.624 (0.613)	Data 0.001 (0.002)	Loss 2.0709 (2.0063)	Prec@1 47.000 (48.110)	Prec@5 76.500 (78.528)
Epoch: [49][2240/9018]	Time 0.717 (0.613)	Data 0.001 (0.002)	Loss 2.1383 (2.0063)	Prec@1 47.500 (48.118)	Prec@5 73.500 (78.532)
Epoch: [49][2250/9018]	Time 0.603 (0.613)	Data 0.001 (0.002)	Loss 1.9829 (2.0065)	Prec@1 49.000 (48.120)	Prec@5 78.500 (78.526)
Epoch: [49][2260/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 1.9469 (2.0064)	Prec@1 47.500 (48.123)	Prec@5 77.500 (78.528)
Epoch: [49][2270/9018]	Time 0.624 (0.613)	Data 0.001 (0.002)	Loss 2.1008 (2.0067)	Prec@1 43.500 (48.111)	Prec@5 75.000 (78.521)
Epoch: [49][2280/9018]	Time 0.605 (0.613)	Data 0.001 (0.002)	Loss 1.9373 (2.0066)	Prec@1 50.000 (48.121)	Prec@5 81.000 (78.523)
Epoch: [49][2290/9018]	Time 0.611 (0.613)	Data 0.001 (0.002)	Loss 1.9557 (2.0065)	Prec@1 45.000 (48.124)	Prec@5 80.000 (78.527)
Epoch: [49][2300/9018]	Time 0.605 (0.613)	Data 0.001 (0.002)	Loss 2.0990 (2.0065)	Prec@1 42.500 (48.115)	Prec@5 79.000 (78.526)
Epoch: [49][2310/9018]	Time 0.627 (0.613)	Data 0.001 (0.002)	Loss 2.0768 (2.0067)	Prec@1 46.500 (48.113)	Prec@5 77.000 (78.521)
Epoch: [49][2320/9018]	Time 0.599 (0.613)	Data 0.001 (0.002)	Loss 2.3519 (2.0069)	Prec@1 39.000 (48.109)	Prec@5 69.500 (78.515)
Epoch: [49][2330/9018]	Time 0.594 (0.613)	Data 0.001 (0.002)	Loss 2.1019 (2.0068)	Prec@1 43.000 (48.108)	Prec@5 75.500 (78.515)
Epoch: [49][2340/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 1.8147 (2.0065)	Prec@1 53.000 (48.114)	Prec@5 80.500 (78.517)
Epoch: [49][2350/9018]	Time 0.616 (0.613)	Data 0.001 (0.002)	Loss 1.9226 (2.0065)	Prec@1 50.500 (48.119)	Prec@5 76.500 (78.517)
Epoch: [49][2360/9018]	Time 0.602 (0.613)	Data 0.001 (0.002)	Loss 2.0662 (2.0066)	Prec@1 46.000 (48.119)	Prec@5 77.500 (78.513)
Epoch: [49][2370/9018]	Time 0.618 (0.613)	Data 0.001 (0.002)	Loss 2.0808 (2.0065)	Prec@1 49.000 (48.122)	Prec@5 78.000 (78.513)
Epoch: [49][2380/9018]	Time 0.631 (0.613)	Data 0.001 (0.002)	Loss 2.1310 (2.0068)	Prec@1 46.000 (48.117)	Prec@5 76.500 (78.507)
Epoch: [49][2390/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 1.7114 (2.0067)	Prec@1 53.000 (48.120)	Prec@5 82.500 (78.508)
Epoch: [49][2400/9018]	Time 0.604 (0.613)	Data 0.001 (0.002)	Loss 2.1100 (2.0066)	Prec@1 46.500 (48.122)	Prec@5 75.500 (78.509)
Epoch: [49][2410/9018]	Time 0.625 (0.613)	Data 0.001 (0.002)	Loss 2.0266 (2.0066)	Prec@1 49.000 (48.122)	Prec@5 78.500 (78.510)
Epoch: [49][2420/9018]	Time 0.604 (0.613)	Data 0.001 (0.002)	Loss 2.0342 (2.0065)	Prec@1 50.000 (48.126)	Prec@5 80.000 (78.518)
Epoch: [49][2430/9018]	Time 0.609 (0.613)	Data 0.001 (0.002)	Loss 1.9579 (2.0066)	Prec@1 48.000 (48.122)	Prec@5 79.000 (78.514)
Epoch: [49][2440/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.0296 (2.0066)	Prec@1 46.500 (48.118)	Prec@5 77.500 (78.515)
Epoch: [49][2450/9018]	Time 0.603 (0.613)	Data 0.001 (0.002)	Loss 1.9617 (2.0067)	Prec@1 43.500 (48.114)	Prec@5 80.000 (78.512)
Epoch: [49][2460/9018]	Time 0.587 (0.613)	Data 0.001 (0.002)	Loss 2.0852 (2.0065)	Prec@1 46.000 (48.116)	Prec@5 75.500 (78.514)
Epoch: [49][2470/9018]	Time 0.607 (0.613)	Data 0.001 (0.002)	Loss 1.9568 (2.0066)	Prec@1 49.000 (48.117)	Prec@5 80.500 (78.514)
Epoch: [49][2480/9018]	Time 0.611 (0.613)	Data 0.001 (0.002)	Loss 1.9899 (2.0064)	Prec@1 47.000 (48.119)	Prec@5 76.000 (78.517)
Epoch: [49][2490/9018]	Time 0.596 (0.613)	Data 0.001 (0.002)	Loss 2.0694 (2.0065)	Prec@1 44.000 (48.111)	Prec@5 76.500 (78.515)
Epoch: [49][2500/9018]	Time 0.598 (0.613)	Data 0.001 (0.002)	Loss 1.9289 (2.0065)	Prec@1 48.000 (48.106)	Prec@5 79.000 (78.515)
Epoch: [49][2510/9018]	Time 0.596 (0.613)	Data 0.001 (0.002)	Loss 1.7330 (2.0062)	Prec@1 53.000 (48.115)	Prec@5 83.000 (78.518)
Epoch: [49][2520/9018]	Time 0.752 (0.613)	Data 0.001 (0.002)	Loss 2.0700 (2.0062)	Prec@1 45.000 (48.117)	Prec@5 77.000 (78.520)
Epoch: [49][2530/9018]	Time 0.597 (0.613)	Data 0.001 (0.002)	Loss 1.8744 (2.0063)	Prec@1 56.500 (48.121)	Prec@5 80.000 (78.519)
Epoch: [49][2540/9018]	Time 0.591 (0.613)	Data 0.001 (0.002)	Loss 2.1250 (2.0064)	Prec@1 49.000 (48.122)	Prec@5 77.000 (78.514)
Epoch: [49][2550/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 1.9812 (2.0069)	Prec@1 50.500 (48.112)	Prec@5 77.000 (78.504)
Epoch: [49][2560/9018]	Time 0.596 (0.613)	Data 0.001 (0.002)	Loss 2.0557 (2.0070)	Prec@1 53.500 (48.112)	Prec@5 75.000 (78.498)
Epoch: [49][2570/9018]	Time 0.764 (0.613)	Data 0.001 (0.002)	Loss 1.8627 (2.0073)	Prec@1 54.000 (48.112)	Prec@5 83.500 (78.492)
Epoch: [49][2580/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 1.9819 (2.0074)	Prec@1 51.000 (48.111)	Prec@5 81.000 (78.490)
Epoch: [49][2590/9018]	Time 0.597 (0.613)	Data 0.001 (0.002)	Loss 1.9991 (2.0074)	Prec@1 48.000 (48.113)	Prec@5 76.000 (78.488)
Epoch: [49][2600/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.0754 (2.0074)	Prec@1 51.500 (48.115)	Prec@5 75.500 (78.488)
Epoch: [49][2610/9018]	Time 0.593 (0.613)	Data 0.001 (0.002)	Loss 1.8939 (2.0076)	Prec@1 51.000 (48.110)	Prec@5 80.000 (78.487)
Epoch: [49][2620/9018]	Time 0.620 (0.613)	Data 0.001 (0.002)	Loss 1.8627 (2.0075)	Prec@1 49.500 (48.113)	Prec@5 82.000 (78.488)
Epoch: [49][2630/9018]	Time 0.599 (0.613)	Data 0.001 (0.002)	Loss 2.1218 (2.0076)	Prec@1 48.500 (48.117)	Prec@5 76.500 (78.485)
Epoch: [49][2640/9018]	Time 0.592 (0.613)	Data 0.001 (0.002)	Loss 2.2948 (2.0076)	Prec@1 40.500 (48.118)	Prec@5 75.000 (78.486)
Epoch: [49][2650/9018]	Time 0.632 (0.613)	Data 0.001 (0.002)	Loss 1.8275 (2.0076)	Prec@1 54.000 (48.114)	Prec@5 83.000 (78.490)
Epoch: [49][2660/9018]	Time 0.596 (0.613)	Data 0.001 (0.002)	Loss 2.0956 (2.0075)	Prec@1 48.500 (48.119)	Prec@5 77.500 (78.492)
Epoch: [49][2670/9018]	Time 0.625 (0.613)	Data 0.001 (0.002)	Loss 1.9804 (2.0080)	Prec@1 46.000 (48.104)	Prec@5 79.000 (78.483)
Epoch: [49][2680/9018]	Time 0.599 (0.613)	Data 0.001 (0.002)	Loss 2.3704 (2.0084)	Prec@1 41.000 (48.092)	Prec@5 69.500 (78.470)
Epoch: [49][2690/9018]	Time 0.614 (0.613)	Data 0.001 (0.002)	Loss 2.2285 (2.0085)	Prec@1 48.500 (48.093)	Prec@5 75.000 (78.469)
Epoch: [49][2700/9018]	Time 0.622 (0.613)	Data 0.001 (0.002)	Loss 1.9039 (2.0087)	Prec@1 52.000 (48.089)	Prec@5 80.500 (78.468)
Epoch: [49][2710/9018]	Time 0.615 (0.613)	Data 0.001 (0.002)	Loss 1.8471 (2.0083)	Prec@1 49.500 (48.097)	Prec@5 81.500 (78.474)
Epoch: [49][2720/9018]	Time 0.614 (0.613)	Data 0.001 (0.002)	Loss 2.0492 (2.0084)	Prec@1 47.500 (48.098)	Prec@5 76.000 (78.473)
Epoch: [49][2730/9018]	Time 0.601 (0.613)	Data 0.001 (0.002)	Loss 2.3424 (2.0087)	Prec@1 43.500 (48.090)	Prec@5 70.500 (78.467)
Epoch: [49][2740/9018]	Time 0.619 (0.613)	Data 0.001 (0.002)	Loss 1.9074 (2.0085)	Prec@1 51.000 (48.092)	Prec@5 79.500 (78.471)
Epoch: [49][2750/9018]	Time 0.600 (0.613)	Data 0.001 (0.002)	Loss 2.1751 (2.0085)	Prec@1 47.500 (48.089)	Prec@5 77.000 (78.473)
Epoch: [49][2760/9018]	Time 0.619 (0.613)	Data 0.001 (0.002)	Loss 1.8432 (2.0087)	Prec@1 53.000 (48.084)	Prec@5 81.000 (78.471)
Epoch: [49][2770/9018]	Time 0.615 (0.613)	Data 0.001 (0.002)	Loss 1.9894 (2.0088)	Prec@1 51.000 (48.083)	Prec@5 78.500 (78.470)
Epoch: [49][2780/9018]	Time 0.604 (0.613)	Data 0.001 (0.002)	Loss 2.1923 (2.0088)	Prec@1 43.500 (48.083)	Prec@5 74.000 (78.471)
Epoch: [49][2790/9018]	Time 0.597 (0.613)	Data 0.001 (0.002)	Loss 1.9704 (2.0087)	Prec@1 47.000 (48.081)	Prec@5 77.500 (78.474)
Epoch: [49][2800/9018]	Time 0.631 (0.613)	Data 0.001 (0.002)	Loss 2.0961 (2.0088)	Prec@1 47.500 (48.078)	Prec@5 73.000 (78.471)
Epoch: [49][2810/9018]	Time 0.613 (0.613)	Data 0.001 (0.002)	Loss 1.9179 (2.0084)	Prec@1 51.000 (48.088)	Prec@5 81.500 (78.477)
Epoch: [49][2820/9018]	Time 0.595 (0.613)	Data 0.001 (0.002)	Loss 2.1468 (2.0083)	Prec@1 48.500 (48.091)	Prec@5 77.500 (78.481)
Epoch: [49][2830/9018]	Time 0.603 (0.613)	Data 0.001 (0.002)	Loss 2.0393 (2.0082)	Prec@1 48.000 (48.093)	Prec@5 77.500 (78.481)
Epoch: [49][2840/9018]	Time 0.593 (0.613)	Data 0.001 (0.002)	Loss 2.0806 (2.0081)	Prec@1 50.000 (48.098)	Prec@5 75.000 (78.486)
Epoch: [49][2850/9018]	Time 0.733 (0.613)	Data 0.001 (0.002)	Loss 2.1065 (2.0079)	Prec@1 44.500 (48.100)	Prec@5 77.500 (78.487)
Epoch: [49][2860/9018]	Time 0.606 (0.613)	Data 0.001 (0.002)	Loss 2.3710 (2.0079)	Prec@1 39.000 (48.099)	Prec@5 70.500 (78.485)
Epoch: [49][2870/9018]	Time 0.598 (0.613)	Data 0.001 (0.002)	Loss 2.0963 (2.0079)	Prec@1 46.500 (48.098)	Prec@5 80.000 (78.484)
Epoch: [49][2880/9018]	Time 0.618 (0.613)	Data 0.001 (0.002)	Loss 1.7664 (2.0077)	Prec@1 53.000 (48.100)	Prec@5 84.000 (78.487)
Epoch: [49][2890/9018]	Time 0.594 (0.613)	Data 0.001 (0.002)	Loss 1.9571 (2.0078)	Prec@1 52.500 (48.102)	Prec@5 77.000 (78.485)
Epoch: [49][2900/9018]	Time 0.732 (0.613)	Data 0.001 (0.002)	Loss 2.0050 (2.0079)	Prec@1 43.000 (48.103)	Prec@5 76.500 (78.482)
Epoch: [49][2910/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 1.9298 (2.0080)	Prec@1 52.500 (48.103)	Prec@5 81.000 (78.478)
Epoch: [49][2920/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.1256 (2.0084)	Prec@1 48.000 (48.097)	Prec@5 78.500 (78.472)
Epoch: [49][2930/9018]	Time 0.587 (0.613)	Data 0.001 (0.001)	Loss 1.8780 (2.0083)	Prec@1 53.000 (48.099)	Prec@5 81.000 (78.473)
Epoch: [49][2940/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 1.9080 (2.0082)	Prec@1 46.500 (48.101)	Prec@5 82.500 (78.475)
Epoch: [49][2950/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.0379 (2.0081)	Prec@1 48.500 (48.099)	Prec@5 80.000 (78.481)
Epoch: [49][2960/9018]	Time 0.614 (0.613)	Data 0.001 (0.001)	Loss 1.9908 (2.0081)	Prec@1 51.500 (48.102)	Prec@5 79.500 (78.483)
Epoch: [49][2970/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.8854 (2.0082)	Prec@1 49.000 (48.103)	Prec@5 79.000 (78.485)
Epoch: [49][2980/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.0283 (2.0081)	Prec@1 49.000 (48.102)	Prec@5 77.000 (78.485)
Epoch: [49][2990/9018]	Time 0.625 (0.613)	Data 0.001 (0.001)	Loss 2.1020 (2.0082)	Prec@1 46.000 (48.102)	Prec@5 78.500 (78.483)
Epoch: [49][3000/9018]	Time 0.630 (0.613)	Data 0.001 (0.001)	Loss 2.0684 (2.0083)	Prec@1 48.000 (48.098)	Prec@5 77.500 (78.482)
Epoch: [49][3010/9018]	Time 0.616 (0.613)	Data 0.001 (0.001)	Loss 2.0215 (2.0084)	Prec@1 51.000 (48.097)	Prec@5 74.000 (78.481)
Epoch: [49][3020/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.1762 (2.0084)	Prec@1 50.000 (48.097)	Prec@5 73.500 (78.481)
Epoch: [49][3030/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.0848 (2.0084)	Prec@1 45.500 (48.096)	Prec@5 78.000 (78.480)
Epoch: [49][3040/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.8966 (2.0084)	Prec@1 51.500 (48.097)	Prec@5 79.500 (78.481)
Epoch: [49][3050/9018]	Time 0.619 (0.613)	Data 0.001 (0.001)	Loss 2.1503 (2.0084)	Prec@1 46.000 (48.102)	Prec@5 77.000 (78.481)
Epoch: [49][3060/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 2.2510 (2.0083)	Prec@1 43.500 (48.107)	Prec@5 73.500 (78.480)
Epoch: [49][3070/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 1.9757 (2.0081)	Prec@1 48.500 (48.107)	Prec@5 78.000 (78.487)
Epoch: [49][3080/9018]	Time 0.634 (0.613)	Data 0.001 (0.001)	Loss 2.2225 (2.0081)	Prec@1 45.000 (48.110)	Prec@5 75.000 (78.486)
Epoch: [49][3090/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.8988 (2.0081)	Prec@1 54.500 (48.112)	Prec@5 81.000 (78.488)
Epoch: [49][3100/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.2452 (2.0084)	Prec@1 42.000 (48.104)	Prec@5 69.500 (78.483)
Epoch: [49][3110/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.2178 (2.0084)	Prec@1 41.000 (48.101)	Prec@5 76.500 (78.482)
Epoch: [49][3120/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 2.1068 (2.0086)	Prec@1 47.500 (48.091)	Prec@5 76.500 (78.481)
Epoch: [49][3130/9018]	Time 0.590 (0.613)	Data 0.001 (0.001)	Loss 2.1245 (2.0086)	Prec@1 45.000 (48.087)	Prec@5 75.500 (78.482)
Epoch: [49][3140/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.9174 (2.0087)	Prec@1 49.000 (48.082)	Prec@5 79.000 (78.482)
Epoch: [49][3150/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.8160 (2.0087)	Prec@1 51.500 (48.082)	Prec@5 83.000 (78.482)
Epoch: [49][3160/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 2.0029 (2.0088)	Prec@1 51.500 (48.082)	Prec@5 78.000 (78.479)
Epoch: [49][3170/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 2.0798 (2.0087)	Prec@1 47.000 (48.082)	Prec@5 74.500 (78.479)
Epoch: [49][3180/9018]	Time 0.716 (0.613)	Data 0.001 (0.001)	Loss 2.1574 (2.0086)	Prec@1 45.500 (48.089)	Prec@5 75.000 (78.481)
Epoch: [49][3190/9018]	Time 0.632 (0.613)	Data 0.001 (0.001)	Loss 1.9943 (2.0085)	Prec@1 46.000 (48.092)	Prec@5 77.500 (78.485)
Epoch: [49][3200/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 1.9199 (2.0084)	Prec@1 50.000 (48.091)	Prec@5 80.000 (78.484)
Epoch: [49][3210/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.0130 (2.0086)	Prec@1 52.000 (48.087)	Prec@5 79.000 (78.483)
Epoch: [49][3220/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.2248 (2.0086)	Prec@1 47.000 (48.086)	Prec@5 80.000 (78.483)
Epoch: [49][3230/9018]	Time 0.735 (0.613)	Data 0.001 (0.001)	Loss 2.0002 (2.0086)	Prec@1 53.000 (48.091)	Prec@5 76.500 (78.483)
Epoch: [49][3240/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.0102 (2.0086)	Prec@1 46.000 (48.093)	Prec@5 80.500 (78.482)
Epoch: [49][3250/9018]	Time 0.619 (0.613)	Data 0.001 (0.001)	Loss 1.9459 (2.0086)	Prec@1 48.500 (48.092)	Prec@5 80.500 (78.480)
Epoch: [49][3260/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.8939 (2.0084)	Prec@1 48.500 (48.097)	Prec@5 81.000 (78.482)
Epoch: [49][3270/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.1466 (2.0084)	Prec@1 43.000 (48.100)	Prec@5 74.000 (78.485)
Epoch: [49][3280/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 2.2013 (2.0084)	Prec@1 42.000 (48.098)	Prec@5 75.000 (78.487)
Epoch: [49][3290/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 1.8901 (2.0084)	Prec@1 50.500 (48.099)	Prec@5 81.500 (78.489)
Epoch: [49][3300/9018]	Time 0.628 (0.613)	Data 0.001 (0.001)	Loss 1.9398 (2.0086)	Prec@1 54.500 (48.098)	Prec@5 82.500 (78.484)
Epoch: [49][3310/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 2.0670 (2.0087)	Prec@1 45.500 (48.096)	Prec@5 78.500 (78.482)
Epoch: [49][3320/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.0881 (2.0089)	Prec@1 47.000 (48.091)	Prec@5 78.500 (78.477)
Epoch: [49][3330/9018]	Time 0.622 (0.613)	Data 0.001 (0.001)	Loss 2.0303 (2.0089)	Prec@1 48.500 (48.095)	Prec@5 78.500 (78.476)
Epoch: [49][3340/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 2.1267 (2.0091)	Prec@1 41.000 (48.090)	Prec@5 73.500 (78.473)
Epoch: [49][3350/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.0292 (2.0091)	Prec@1 48.000 (48.094)	Prec@5 78.000 (78.470)
Epoch: [49][3360/9018]	Time 0.628 (0.613)	Data 0.001 (0.001)	Loss 2.0254 (2.0091)	Prec@1 49.500 (48.095)	Prec@5 79.000 (78.469)
Epoch: [49][3370/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 2.0196 (2.0090)	Prec@1 48.000 (48.099)	Prec@5 75.000 (78.467)
Epoch: [49][3380/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.8951 (2.0092)	Prec@1 57.000 (48.095)	Prec@5 84.000 (78.467)
Epoch: [49][3390/9018]	Time 0.640 (0.613)	Data 0.001 (0.001)	Loss 1.7649 (2.0092)	Prec@1 54.500 (48.096)	Prec@5 84.500 (78.467)
Epoch: [49][3400/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 2.1203 (2.0091)	Prec@1 48.500 (48.100)	Prec@5 77.500 (78.468)
Epoch: [49][3410/9018]	Time 0.633 (0.613)	Data 0.001 (0.001)	Loss 1.9658 (2.0093)	Prec@1 53.000 (48.097)	Prec@5 78.500 (78.461)
Epoch: [49][3420/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.0585 (2.0092)	Prec@1 45.500 (48.099)	Prec@5 78.000 (78.463)
Epoch: [49][3430/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.9805 (2.0092)	Prec@1 50.500 (48.096)	Prec@5 78.500 (78.464)
Epoch: [49][3440/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 2.0037 (2.0090)	Prec@1 48.500 (48.100)	Prec@5 80.000 (78.469)
Epoch: [49][3450/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.1689 (2.0091)	Prec@1 47.500 (48.101)	Prec@5 73.000 (78.468)
Epoch: [49][3460/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 1.9151 (2.0091)	Prec@1 49.500 (48.102)	Prec@5 80.000 (78.467)
Epoch: [49][3470/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 2.1606 (2.0091)	Prec@1 42.000 (48.099)	Prec@5 78.000 (78.466)
Epoch: [49][3480/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 2.1975 (2.0091)	Prec@1 48.000 (48.101)	Prec@5 75.000 (78.465)
Epoch: [49][3490/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 2.4225 (2.0095)	Prec@1 43.000 (48.091)	Prec@5 71.500 (78.458)
Epoch: [49][3500/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9533 (2.0096)	Prec@1 50.500 (48.093)	Prec@5 77.500 (78.455)
Epoch: [49][3510/9018]	Time 0.722 (0.613)	Data 0.001 (0.001)	Loss 2.0627 (2.0095)	Prec@1 49.500 (48.097)	Prec@5 79.500 (78.455)
Epoch: [49][3520/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 1.8872 (2.0095)	Prec@1 54.000 (48.096)	Prec@5 79.000 (78.457)
Epoch: [49][3530/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 2.0940 (2.0095)	Prec@1 44.500 (48.096)	Prec@5 77.500 (78.457)
Epoch: [49][3540/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.9256 (2.0095)	Prec@1 47.500 (48.096)	Prec@5 79.000 (78.457)
Epoch: [49][3550/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.9706 (2.0096)	Prec@1 52.000 (48.095)	Prec@5 81.500 (78.456)
Epoch: [49][3560/9018]	Time 0.742 (0.614)	Data 0.001 (0.001)	Loss 1.6949 (2.0096)	Prec@1 53.500 (48.094)	Prec@5 84.500 (78.454)
Epoch: [49][3570/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 2.0707 (2.0097)	Prec@1 47.500 (48.090)	Prec@5 76.500 (78.456)
Epoch: [49][3580/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 2.3930 (2.0098)	Prec@1 40.500 (48.084)	Prec@5 70.500 (78.454)
Epoch: [49][3590/9018]	Time 0.628 (0.613)	Data 0.001 (0.001)	Loss 1.9913 (2.0097)	Prec@1 47.500 (48.087)	Prec@5 78.500 (78.456)
Epoch: [49][3600/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0420 (2.0097)	Prec@1 47.500 (48.086)	Prec@5 80.500 (78.456)
Epoch: [49][3610/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1311 (2.0098)	Prec@1 43.000 (48.087)	Prec@5 75.000 (78.456)
Epoch: [49][3620/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 2.1256 (2.0098)	Prec@1 43.500 (48.085)	Prec@5 76.000 (78.455)
Epoch: [49][3630/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 2.0427 (2.0100)	Prec@1 47.500 (48.081)	Prec@5 81.000 (78.456)
Epoch: [49][3640/9018]	Time 0.620 (0.613)	Data 0.001 (0.001)	Loss 1.8788 (2.0099)	Prec@1 53.000 (48.082)	Prec@5 81.000 (78.456)
Epoch: [49][3650/9018]	Time 0.590 (0.613)	Data 0.001 (0.001)	Loss 2.1428 (2.0100)	Prec@1 47.000 (48.081)	Prec@5 75.500 (78.454)
Epoch: [49][3660/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.2277 (2.0103)	Prec@1 44.500 (48.078)	Prec@5 73.000 (78.447)
Epoch: [49][3670/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1728 (2.0102)	Prec@1 45.000 (48.079)	Prec@5 78.000 (78.447)
Epoch: [49][3680/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.2696 (2.0103)	Prec@1 42.500 (48.078)	Prec@5 74.500 (78.447)
Epoch: [49][3690/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 1.7887 (2.0102)	Prec@1 54.500 (48.081)	Prec@5 80.000 (78.449)
Epoch: [49][3700/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.1212 (2.0102)	Prec@1 45.000 (48.078)	Prec@5 76.000 (78.450)
Epoch: [49][3710/9018]	Time 0.587 (0.614)	Data 0.001 (0.001)	Loss 1.8751 (2.0102)	Prec@1 49.500 (48.080)	Prec@5 79.500 (78.451)
Epoch: [49][3720/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.0493 (2.0103)	Prec@1 48.000 (48.077)	Prec@5 77.000 (78.451)
Epoch: [49][3730/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0274 (2.0102)	Prec@1 46.000 (48.078)	Prec@5 78.500 (78.452)
Epoch: [49][3740/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.0948 (2.0102)	Prec@1 43.500 (48.075)	Prec@5 75.500 (78.451)
Epoch: [49][3750/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9081 (2.0105)	Prec@1 51.500 (48.070)	Prec@5 77.000 (78.443)
Epoch: [49][3760/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1344 (2.0105)	Prec@1 44.000 (48.068)	Prec@5 77.500 (78.441)
Epoch: [49][3770/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.8300 (2.0105)	Prec@1 50.000 (48.068)	Prec@5 80.500 (78.440)
Epoch: [49][3780/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0102 (2.0105)	Prec@1 45.000 (48.066)	Prec@5 80.000 (78.439)
Epoch: [49][3790/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 1.8254 (2.0107)	Prec@1 51.000 (48.065)	Prec@5 81.500 (78.435)
Epoch: [49][3800/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9572 (2.0107)	Prec@1 52.500 (48.066)	Prec@5 78.500 (78.435)
Epoch: [49][3810/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0328 (2.0108)	Prec@1 50.500 (48.064)	Prec@5 78.000 (78.433)
Epoch: [49][3820/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0024 (2.0108)	Prec@1 47.000 (48.064)	Prec@5 77.000 (78.431)
Epoch: [49][3830/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.8052 (2.0105)	Prec@1 56.500 (48.072)	Prec@5 83.000 (78.436)
Epoch: [49][3840/9018]	Time 0.748 (0.614)	Data 0.001 (0.001)	Loss 2.0909 (2.0107)	Prec@1 46.500 (48.070)	Prec@5 77.000 (78.435)
Epoch: [49][3850/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1192 (2.0109)	Prec@1 47.500 (48.068)	Prec@5 77.000 (78.431)
Epoch: [49][3860/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.0296 (2.0109)	Prec@1 49.000 (48.065)	Prec@5 78.500 (78.431)
Epoch: [49][3870/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1000 (2.0108)	Prec@1 44.500 (48.068)	Prec@5 74.500 (78.429)
Epoch: [49][3880/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.1395 (2.0110)	Prec@1 43.000 (48.065)	Prec@5 74.500 (78.426)
Epoch: [49][3890/9018]	Time 0.719 (0.614)	Data 0.001 (0.001)	Loss 2.0774 (2.0110)	Prec@1 48.500 (48.068)	Prec@5 76.000 (78.425)
Epoch: [49][3900/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.1023 (2.0111)	Prec@1 41.000 (48.065)	Prec@5 77.500 (78.423)
Epoch: [49][3910/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9719 (2.0112)	Prec@1 49.500 (48.066)	Prec@5 79.500 (78.418)
Epoch: [49][3920/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 1.9864 (2.0112)	Prec@1 47.000 (48.066)	Prec@5 79.500 (78.418)
Epoch: [49][3930/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0697 (2.0113)	Prec@1 47.500 (48.063)	Prec@5 78.500 (78.417)
Epoch: [49][3940/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.7572 (2.0111)	Prec@1 53.500 (48.067)	Prec@5 84.000 (78.419)
Epoch: [49][3950/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0497 (2.0111)	Prec@1 50.000 (48.067)	Prec@5 78.000 (78.419)
Epoch: [49][3960/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9067 (2.0111)	Prec@1 51.000 (48.068)	Prec@5 82.500 (78.420)
Epoch: [49][3970/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 1.9875 (2.0111)	Prec@1 53.000 (48.069)	Prec@5 80.000 (78.425)
Epoch: [49][3980/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1203 (2.0112)	Prec@1 48.000 (48.066)	Prec@5 78.000 (78.424)
Epoch: [49][3990/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.7797 (2.0111)	Prec@1 57.000 (48.070)	Prec@5 81.500 (78.425)
Epoch: [49][4000/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1267 (2.0111)	Prec@1 48.000 (48.071)	Prec@5 75.500 (78.424)
Epoch: [49][4010/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 1.9275 (2.0112)	Prec@1 52.000 (48.070)	Prec@5 78.500 (78.422)
Epoch: [49][4020/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 2.0735 (2.0114)	Prec@1 50.500 (48.065)	Prec@5 76.500 (78.420)
Epoch: [49][4030/9018]	Time 0.617 (0.614)	Data 0.001 (0.001)	Loss 1.9852 (2.0116)	Prec@1 49.000 (48.060)	Prec@5 77.500 (78.415)
Epoch: [49][4040/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.2222 (2.0117)	Prec@1 44.500 (48.060)	Prec@5 73.500 (78.410)
Epoch: [49][4050/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.2312 (2.0116)	Prec@1 44.000 (48.061)	Prec@5 73.500 (78.409)
Epoch: [49][4060/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0339 (2.0117)	Prec@1 47.000 (48.059)	Prec@5 78.000 (78.407)
Epoch: [49][4070/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.0269 (2.0119)	Prec@1 45.000 (48.053)	Prec@5 77.000 (78.405)
Epoch: [49][4080/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.8830 (2.0119)	Prec@1 47.500 (48.053)	Prec@5 83.000 (78.403)
Epoch: [49][4090/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.9265 (2.0119)	Prec@1 47.000 (48.050)	Prec@5 78.500 (78.404)
Epoch: [49][4100/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.7857 (2.0120)	Prec@1 53.500 (48.052)	Prec@5 79.500 (78.402)
Epoch: [49][4110/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 1.9013 (2.0121)	Prec@1 51.500 (48.048)	Prec@5 79.500 (78.398)
Epoch: [49][4120/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 1.9586 (2.0119)	Prec@1 47.500 (48.050)	Prec@5 79.000 (78.402)
Epoch: [49][4130/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.0122 (2.0120)	Prec@1 48.000 (48.050)	Prec@5 77.000 (78.399)
Epoch: [49][4140/9018]	Time 0.588 (0.614)	Data 0.001 (0.001)	Loss 2.1471 (2.0121)	Prec@1 43.500 (48.047)	Prec@5 73.500 (78.398)
Epoch: [49][4150/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.8774 (2.0121)	Prec@1 51.500 (48.046)	Prec@5 81.000 (78.399)
Epoch: [49][4160/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.9460 (2.0122)	Prec@1 49.500 (48.044)	Prec@5 80.000 (78.395)
Epoch: [49][4170/9018]	Time 0.736 (0.614)	Data 0.001 (0.001)	Loss 1.9677 (2.0121)	Prec@1 50.000 (48.044)	Prec@5 78.000 (78.401)
Epoch: [49][4180/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1395 (2.0121)	Prec@1 46.500 (48.047)	Prec@5 76.000 (78.401)
Epoch: [49][4190/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.0136 (2.0120)	Prec@1 48.500 (48.051)	Prec@5 78.500 (78.406)
Epoch: [49][4200/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.8814 (2.0120)	Prec@1 48.000 (48.053)	Prec@5 82.500 (78.404)
Epoch: [49][4210/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9624 (2.0120)	Prec@1 48.000 (48.053)	Prec@5 80.000 (78.404)
Epoch: [49][4220/9018]	Time 0.737 (0.614)	Data 0.001 (0.001)	Loss 1.8837 (2.0119)	Prec@1 50.500 (48.054)	Prec@5 79.500 (78.405)
Epoch: [49][4230/9018]	Time 0.588 (0.614)	Data 0.001 (0.001)	Loss 2.0191 (2.0118)	Prec@1 48.000 (48.059)	Prec@5 79.500 (78.408)
Epoch: [49][4240/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.2157 (2.0119)	Prec@1 45.000 (48.056)	Prec@5 74.000 (78.404)
Epoch: [49][4250/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0444 (2.0121)	Prec@1 46.500 (48.051)	Prec@5 76.500 (78.403)
Epoch: [49][4260/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 1.9701 (2.0121)	Prec@1 48.000 (48.051)	Prec@5 83.000 (78.403)
Epoch: [49][4270/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 2.0699 (2.0122)	Prec@1 42.500 (48.048)	Prec@5 77.500 (78.403)
Epoch: [49][4280/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.0911 (2.0123)	Prec@1 45.000 (48.043)	Prec@5 74.000 (78.399)
Epoch: [49][4290/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.0724 (2.0125)	Prec@1 51.000 (48.040)	Prec@5 81.000 (78.395)
Epoch: [49][4300/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 2.1077 (2.0127)	Prec@1 44.000 (48.041)	Prec@5 79.000 (78.394)
Epoch: [49][4310/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0162 (2.0125)	Prec@1 48.000 (48.044)	Prec@5 81.500 (78.397)
Epoch: [49][4320/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.8576 (2.0126)	Prec@1 50.000 (48.045)	Prec@5 81.000 (78.397)
Epoch: [49][4330/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 2.1819 (2.0125)	Prec@1 44.500 (48.047)	Prec@5 76.000 (78.397)
Epoch: [49][4340/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.0829 (2.0125)	Prec@1 47.000 (48.047)	Prec@5 77.000 (78.398)
Epoch: [49][4350/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9654 (2.0127)	Prec@1 49.500 (48.044)	Prec@5 77.000 (78.396)
Epoch: [49][4360/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9223 (2.0127)	Prec@1 46.500 (48.042)	Prec@5 79.500 (78.393)
Epoch: [49][4370/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 1.8281 (2.0129)	Prec@1 51.500 (48.033)	Prec@5 82.500 (78.393)
Epoch: [49][4380/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.0238 (2.0131)	Prec@1 51.000 (48.031)	Prec@5 76.000 (78.389)
Epoch: [49][4390/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0210 (2.0130)	Prec@1 47.500 (48.029)	Prec@5 76.000 (78.390)
Epoch: [49][4400/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.1357 (2.0131)	Prec@1 46.500 (48.028)	Prec@5 76.500 (78.388)
Epoch: [49][4410/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9709 (2.0131)	Prec@1 51.500 (48.028)	Prec@5 74.500 (78.389)
Epoch: [49][4420/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 2.1111 (2.0132)	Prec@1 45.000 (48.023)	Prec@5 77.000 (78.389)
Epoch: [49][4430/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.2809 (2.0135)	Prec@1 42.500 (48.017)	Prec@5 73.000 (78.383)
Epoch: [49][4440/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.8088 (2.0133)	Prec@1 51.500 (48.020)	Prec@5 81.000 (78.384)
Epoch: [49][4450/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 1.9901 (2.0135)	Prec@1 45.000 (48.015)	Prec@5 79.000 (78.380)
Epoch: [49][4460/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0595 (2.0137)	Prec@1 47.000 (48.012)	Prec@5 75.000 (78.377)
Epoch: [49][4470/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.0387 (2.0138)	Prec@1 42.000 (48.008)	Prec@5 84.000 (78.375)
Epoch: [49][4480/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 1.9224 (2.0138)	Prec@1 51.500 (48.009)	Prec@5 80.000 (78.374)
Epoch: [49][4490/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 2.0413 (2.0140)	Prec@1 43.000 (48.006)	Prec@5 76.000 (78.372)
Epoch: [49][4500/9018]	Time 0.727 (0.614)	Data 0.001 (0.001)	Loss 2.0906 (2.0141)	Prec@1 48.000 (48.004)	Prec@5 76.000 (78.369)
Epoch: [49][4510/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 1.8530 (2.0140)	Prec@1 49.000 (48.003)	Prec@5 82.500 (78.372)
Epoch: [49][4520/9018]	Time 0.617 (0.614)	Data 0.001 (0.001)	Loss 2.1942 (2.0140)	Prec@1 43.000 (48.005)	Prec@5 75.000 (78.372)
Epoch: [49][4530/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 1.9565 (2.0140)	Prec@1 49.000 (48.006)	Prec@5 82.500 (78.373)
Epoch: [49][4540/9018]	Time 0.639 (0.614)	Data 0.001 (0.001)	Loss 2.1511 (2.0141)	Prec@1 45.500 (48.001)	Prec@5 72.500 (78.371)
Epoch: [49][4550/9018]	Time 0.739 (0.614)	Data 0.001 (0.001)	Loss 2.2168 (2.0141)	Prec@1 40.500 (47.999)	Prec@5 74.000 (78.372)
Epoch: [49][4560/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.8730 (2.0141)	Prec@1 52.500 (48.001)	Prec@5 81.500 (78.372)
Epoch: [49][4570/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.2205 (2.0141)	Prec@1 44.000 (48.000)	Prec@5 75.500 (78.373)
Epoch: [49][4580/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 2.1855 (2.0140)	Prec@1 47.500 (48.000)	Prec@5 77.500 (78.376)
Epoch: [49][4590/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 1.8607 (2.0138)	Prec@1 50.500 (48.005)	Prec@5 83.500 (78.380)
Epoch: [49][4600/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.1298 (2.0139)	Prec@1 45.000 (48.003)	Prec@5 78.500 (78.378)
Epoch: [49][4610/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9427 (2.0139)	Prec@1 50.000 (48.007)	Prec@5 80.000 (78.379)
Epoch: [49][4620/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.1726 (2.0138)	Prec@1 46.000 (48.009)	Prec@5 74.500 (78.379)
Epoch: [49][4630/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.1295 (2.0139)	Prec@1 45.000 (48.006)	Prec@5 76.500 (78.380)
Epoch: [49][4640/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0983 (2.0139)	Prec@1 48.500 (48.004)	Prec@5 77.500 (78.381)
Epoch: [49][4650/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0825 (2.0139)	Prec@1 44.500 (48.004)	Prec@5 79.500 (78.382)
Epoch: [49][4660/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.8497 (2.0139)	Prec@1 49.000 (48.003)	Prec@5 79.500 (78.382)
Epoch: [49][4670/9018]	Time 0.587 (0.614)	Data 0.001 (0.001)	Loss 1.8937 (2.0138)	Prec@1 48.500 (48.005)	Prec@5 81.500 (78.383)
Epoch: [49][4680/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.2621 (2.0138)	Prec@1 42.000 (48.006)	Prec@5 73.500 (78.384)
Epoch: [49][4690/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.9711 (2.0139)	Prec@1 44.000 (48.004)	Prec@5 81.000 (78.381)
Epoch: [49][4700/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 1.9242 (2.0139)	Prec@1 49.000 (48.004)	Prec@5 78.500 (78.380)
Epoch: [49][4710/9018]	Time 0.638 (0.614)	Data 0.001 (0.001)	Loss 2.2090 (2.0140)	Prec@1 43.000 (48.002)	Prec@5 76.500 (78.380)
Epoch: [49][4720/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9550 (2.0139)	Prec@1 48.500 (48.001)	Prec@5 79.500 (78.380)
Epoch: [49][4730/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.1854 (2.0139)	Prec@1 50.000 (47.999)	Prec@5 75.000 (78.380)
Epoch: [49][4740/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1104 (2.0140)	Prec@1 43.500 (47.996)	Prec@5 76.000 (78.379)
Epoch: [49][4750/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.1911 (2.0142)	Prec@1 46.500 (47.992)	Prec@5 74.500 (78.378)
Epoch: [49][4760/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 1.9380 (2.0142)	Prec@1 53.500 (47.991)	Prec@5 79.000 (78.376)
Epoch: [49][4770/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.2612 (2.0144)	Prec@1 43.000 (47.985)	Prec@5 73.500 (78.375)
Epoch: [49][4780/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.1001 (2.0144)	Prec@1 51.000 (47.986)	Prec@5 78.000 (78.377)
Epoch: [49][4790/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.1215 (2.0145)	Prec@1 43.000 (47.982)	Prec@5 75.500 (78.377)
Epoch: [49][4800/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.0299 (2.0145)	Prec@1 49.500 (47.981)	Prec@5 77.500 (78.374)
Epoch: [49][4810/9018]	Time 0.617 (0.614)	Data 0.001 (0.001)	Loss 1.9946 (2.0146)	Prec@1 45.500 (47.977)	Prec@5 80.000 (78.374)
Epoch: [49][4820/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0535 (2.0146)	Prec@1 49.500 (47.976)	Prec@5 79.000 (78.373)
Epoch: [49][4830/9018]	Time 0.716 (0.614)	Data 0.001 (0.001)	Loss 2.2560 (2.0149)	Prec@1 46.000 (47.971)	Prec@5 74.500 (78.370)
Epoch: [49][4840/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.1993 (2.0149)	Prec@1 44.500 (47.967)	Prec@5 74.000 (78.369)
Epoch: [49][4850/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0815 (2.0150)	Prec@1 45.500 (47.966)	Prec@5 77.000 (78.366)
Epoch: [49][4860/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0029 (2.0151)	Prec@1 47.000 (47.966)	Prec@5 81.000 (78.363)
Epoch: [49][4870/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0206 (2.0150)	Prec@1 47.000 (47.968)	Prec@5 77.500 (78.363)
Epoch: [49][4880/9018]	Time 0.736 (0.614)	Data 0.001 (0.001)	Loss 1.9177 (2.0149)	Prec@1 51.000 (47.970)	Prec@5 79.500 (78.365)
Epoch: [49][4890/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.8246 (2.0149)	Prec@1 51.500 (47.969)	Prec@5 81.500 (78.365)
Epoch: [49][4900/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.2130 (2.0150)	Prec@1 42.500 (47.964)	Prec@5 74.000 (78.363)
Epoch: [49][4910/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.9792 (2.0152)	Prec@1 50.500 (47.959)	Prec@5 77.500 (78.360)
Epoch: [49][4920/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0750 (2.0153)	Prec@1 48.000 (47.957)	Prec@5 76.500 (78.357)
Epoch: [49][4930/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 1.9862 (2.0153)	Prec@1 53.000 (47.959)	Prec@5 76.000 (78.356)
Epoch: [49][4940/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.1426 (2.0155)	Prec@1 43.500 (47.954)	Prec@5 77.000 (78.352)
Epoch: [49][4950/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.1330 (2.0155)	Prec@1 41.500 (47.952)	Prec@5 77.500 (78.353)
Epoch: [49][4960/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0200 (2.0156)	Prec@1 51.000 (47.951)	Prec@5 78.000 (78.350)
Epoch: [49][4970/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.8930 (2.0155)	Prec@1 50.000 (47.952)	Prec@5 81.000 (78.351)
Epoch: [49][4980/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 1.9929 (2.0154)	Prec@1 50.500 (47.954)	Prec@5 78.000 (78.351)
Epoch: [49][4990/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.7033 (2.0154)	Prec@1 55.000 (47.954)	Prec@5 85.500 (78.354)
Epoch: [49][5000/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.1060 (2.0154)	Prec@1 45.000 (47.955)	Prec@5 76.500 (78.355)
Epoch: [49][5010/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 2.0662 (2.0155)	Prec@1 49.000 (47.954)	Prec@5 77.000 (78.355)
Epoch: [49][5020/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 1.8536 (2.0154)	Prec@1 52.500 (47.954)	Prec@5 82.000 (78.357)
Epoch: [49][5030/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.2101 (2.0154)	Prec@1 46.500 (47.954)	Prec@5 73.000 (78.357)
Epoch: [49][5040/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.1581 (2.0155)	Prec@1 44.500 (47.952)	Prec@5 74.500 (78.357)
Epoch: [49][5050/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 2.0416 (2.0155)	Prec@1 49.000 (47.949)	Prec@5 78.500 (78.354)
Epoch: [49][5060/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.0629 (2.0155)	Prec@1 48.500 (47.946)	Prec@5 80.000 (78.355)
Epoch: [49][5070/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.0510 (2.0155)	Prec@1 51.000 (47.947)	Prec@5 78.000 (78.355)
Epoch: [49][5080/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0921 (2.0157)	Prec@1 46.000 (47.944)	Prec@5 74.000 (78.350)
Epoch: [49][5090/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.0021 (2.0157)	Prec@1 48.000 (47.943)	Prec@5 79.500 (78.350)
Epoch: [49][5100/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 2.1057 (2.0158)	Prec@1 46.500 (47.941)	Prec@5 74.000 (78.349)
Epoch: [49][5110/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9759 (2.0159)	Prec@1 52.500 (47.941)	Prec@5 78.500 (78.349)
Epoch: [49][5120/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.0482 (2.0160)	Prec@1 47.500 (47.940)	Prec@5 81.000 (78.347)
Epoch: [49][5130/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 2.0157 (2.0160)	Prec@1 48.000 (47.940)	Prec@5 80.000 (78.349)
Epoch: [49][5140/9018]	Time 0.635 (0.614)	Data 0.001 (0.001)	Loss 1.9921 (2.0160)	Prec@1 47.500 (47.942)	Prec@5 80.500 (78.348)
Epoch: [49][5150/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.3166 (2.0162)	Prec@1 43.500 (47.939)	Prec@5 75.000 (78.346)
Epoch: [49][5160/9018]	Time 0.722 (0.614)	Data 0.001 (0.001)	Loss 1.9224 (2.0162)	Prec@1 52.000 (47.938)	Prec@5 78.000 (78.347)
Epoch: [49][5170/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.8937 (2.0164)	Prec@1 49.500 (47.936)	Prec@5 78.000 (78.343)
Epoch: [49][5180/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.8915 (2.0163)	Prec@1 47.500 (47.934)	Prec@5 82.000 (78.344)
Epoch: [49][5190/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.1874 (2.0164)	Prec@1 42.000 (47.935)	Prec@5 75.500 (78.344)
Epoch: [49][5200/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.2513 (2.0164)	Prec@1 45.000 (47.931)	Prec@5 76.000 (78.343)
Epoch: [49][5210/9018]	Time 0.721 (0.614)	Data 0.001 (0.001)	Loss 1.9234 (2.0163)	Prec@1 50.000 (47.932)	Prec@5 79.000 (78.346)
Epoch: [49][5220/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.0142 (2.0165)	Prec@1 45.500 (47.930)	Prec@5 80.000 (78.341)
Epoch: [49][5230/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 2.1531 (2.0165)	Prec@1 42.500 (47.931)	Prec@5 73.500 (78.338)
Epoch: [49][5240/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.2571 (2.0165)	Prec@1 39.500 (47.931)	Prec@5 73.500 (78.339)
Epoch: [49][5250/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.1917 (2.0165)	Prec@1 43.000 (47.931)	Prec@5 80.000 (78.342)
Epoch: [49][5260/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.1397 (2.0164)	Prec@1 44.000 (47.934)	Prec@5 74.500 (78.340)
Epoch: [49][5270/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 1.9774 (2.0164)	Prec@1 48.000 (47.935)	Prec@5 80.000 (78.341)
Epoch: [49][5280/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9783 (2.0165)	Prec@1 51.500 (47.934)	Prec@5 77.000 (78.340)
Epoch: [49][5290/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.2362 (2.0166)	Prec@1 45.000 (47.932)	Prec@5 75.500 (78.339)
Epoch: [49][5300/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.8417 (2.0166)	Prec@1 50.000 (47.932)	Prec@5 80.500 (78.339)
Epoch: [49][5310/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.9782 (2.0165)	Prec@1 49.500 (47.935)	Prec@5 78.500 (78.341)
Epoch: [49][5320/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0406 (2.0165)	Prec@1 45.500 (47.938)	Prec@5 79.500 (78.342)
Epoch: [49][5330/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9618 (2.0166)	Prec@1 50.500 (47.939)	Prec@5 78.000 (78.338)
Epoch: [49][5340/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9533 (2.0165)	Prec@1 51.500 (47.941)	Prec@5 79.500 (78.339)
Epoch: [49][5350/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 1.9113 (2.0167)	Prec@1 50.000 (47.939)	Prec@5 77.000 (78.335)
Epoch: [49][5360/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 1.8753 (2.0166)	Prec@1 49.500 (47.942)	Prec@5 80.000 (78.337)
Epoch: [49][5370/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 2.0074 (2.0167)	Prec@1 46.500 (47.941)	Prec@5 77.500 (78.336)
Epoch: [49][5380/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.1736 (2.0166)	Prec@1 46.500 (47.943)	Prec@5 74.000 (78.338)
Epoch: [49][5390/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0977 (2.0166)	Prec@1 44.500 (47.944)	Prec@5 75.500 (78.337)
Epoch: [49][5400/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 2.0784 (2.0167)	Prec@1 45.000 (47.942)	Prec@5 77.500 (78.334)
Epoch: [49][5410/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1829 (2.0167)	Prec@1 45.000 (47.939)	Prec@5 77.000 (78.334)
Epoch: [49][5420/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1511 (2.0167)	Prec@1 44.500 (47.938)	Prec@5 75.000 (78.335)
Epoch: [49][5430/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1305 (2.0168)	Prec@1 40.000 (47.934)	Prec@5 76.000 (78.334)
Epoch: [49][5440/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 1.9926 (2.0169)	Prec@1 48.500 (47.932)	Prec@5 79.000 (78.331)
Epoch: [49][5450/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 1.9041 (2.0170)	Prec@1 51.000 (47.928)	Prec@5 82.500 (78.329)
Epoch: [49][5460/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 2.0456 (2.0170)	Prec@1 45.500 (47.926)	Prec@5 78.000 (78.330)
Epoch: [49][5470/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1282 (2.0170)	Prec@1 48.500 (47.923)	Prec@5 77.000 (78.330)
Epoch: [49][5480/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1354 (2.0172)	Prec@1 45.000 (47.919)	Prec@5 78.000 (78.326)
Epoch: [49][5490/9018]	Time 0.745 (0.614)	Data 0.001 (0.001)	Loss 1.9586 (2.0172)	Prec@1 49.500 (47.919)	Prec@5 80.000 (78.324)
Epoch: [49][5500/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.0672 (2.0173)	Prec@1 43.000 (47.915)	Prec@5 76.000 (78.323)
Epoch: [49][5510/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0830 (2.0173)	Prec@1 49.000 (47.917)	Prec@5 76.500 (78.323)
Epoch: [49][5520/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.1073 (2.0172)	Prec@1 49.500 (47.919)	Prec@5 76.000 (78.326)
Epoch: [49][5530/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.2535 (2.0173)	Prec@1 45.500 (47.915)	Prec@5 73.000 (78.324)
Epoch: [49][5540/9018]	Time 0.713 (0.614)	Data 0.001 (0.001)	Loss 2.0299 (2.0172)	Prec@1 44.500 (47.916)	Prec@5 80.000 (78.325)
Epoch: [49][5550/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.2030 (2.0174)	Prec@1 41.000 (47.911)	Prec@5 73.000 (78.323)
Epoch: [49][5560/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1276 (2.0174)	Prec@1 48.000 (47.910)	Prec@5 75.500 (78.321)
Epoch: [49][5570/9018]	Time 0.637 (0.614)	Data 0.004 (0.001)	Loss 2.0889 (2.0175)	Prec@1 45.500 (47.907)	Prec@5 79.000 (78.319)
Epoch: [49][5580/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 2.2722 (2.0176)	Prec@1 43.500 (47.907)	Prec@5 73.000 (78.317)
Epoch: [49][5590/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.2014 (2.0176)	Prec@1 44.000 (47.908)	Prec@5 76.500 (78.318)
Epoch: [49][5600/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 2.0796 (2.0177)	Prec@1 41.500 (47.907)	Prec@5 77.500 (78.316)
Epoch: [49][5610/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0154 (2.0175)	Prec@1 46.500 (47.909)	Prec@5 79.000 (78.320)
Epoch: [49][5620/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.9865 (2.0176)	Prec@1 46.500 (47.908)	Prec@5 78.000 (78.319)
Epoch: [49][5630/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.9820 (2.0175)	Prec@1 52.000 (47.908)	Prec@5 76.000 (78.319)
Epoch: [49][5640/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0448 (2.0175)	Prec@1 45.500 (47.907)	Prec@5 77.500 (78.318)
Epoch: [49][5650/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 2.0186 (2.0176)	Prec@1 49.000 (47.906)	Prec@5 77.500 (78.317)
Epoch: [49][5660/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.0347 (2.0176)	Prec@1 49.000 (47.905)	Prec@5 80.000 (78.316)
Epoch: [49][5670/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 1.9788 (2.0176)	Prec@1 48.500 (47.905)	Prec@5 81.500 (78.317)
Epoch: [49][5680/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9006 (2.0176)	Prec@1 51.500 (47.904)	Prec@5 78.000 (78.318)
Epoch: [49][5690/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 2.0237 (2.0176)	Prec@1 49.000 (47.907)	Prec@5 77.500 (78.320)
Epoch: [49][5700/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.2689 (2.0176)	Prec@1 41.500 (47.903)	Prec@5 72.500 (78.321)
Epoch: [49][5710/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1771 (2.0177)	Prec@1 41.000 (47.898)	Prec@5 77.000 (78.320)
Epoch: [49][5720/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.8841 (2.0177)	Prec@1 46.000 (47.901)	Prec@5 81.500 (78.319)
Epoch: [49][5730/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.9522 (2.0176)	Prec@1 47.500 (47.902)	Prec@5 81.500 (78.321)
Epoch: [49][5740/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 1.9109 (2.0176)	Prec@1 47.000 (47.900)	Prec@5 77.000 (78.321)
Epoch: [49][5750/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.0181 (2.0177)	Prec@1 47.000 (47.900)	Prec@5 78.000 (78.320)
Epoch: [49][5760/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0202 (2.0176)	Prec@1 41.500 (47.900)	Prec@5 75.500 (78.321)
Epoch: [49][5770/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.3237 (2.0176)	Prec@1 39.000 (47.900)	Prec@5 73.000 (78.322)
Epoch: [49][5780/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0032 (2.0177)	Prec@1 48.000 (47.898)	Prec@5 77.500 (78.321)
Epoch: [49][5790/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.1313 (2.0177)	Prec@1 45.000 (47.899)	Prec@5 75.500 (78.320)
Epoch: [49][5800/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.9391 (2.0178)	Prec@1 48.500 (47.900)	Prec@5 81.500 (78.318)
Epoch: [49][5810/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.0710 (2.0179)	Prec@1 44.500 (47.895)	Prec@5 77.500 (78.316)
Epoch: [49][5820/9018]	Time 0.723 (0.614)	Data 0.001 (0.001)	Loss 2.1251 (2.0178)	Prec@1 48.000 (47.897)	Prec@5 71.500 (78.314)
Epoch: [49][5830/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1131 (2.0179)	Prec@1 48.000 (47.896)	Prec@5 74.000 (78.313)
Epoch: [49][5840/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.0415 (2.0179)	Prec@1 44.000 (47.893)	Prec@5 78.500 (78.313)
Epoch: [49][5850/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.7298 (2.0179)	Prec@1 52.500 (47.894)	Prec@5 82.500 (78.314)
Epoch: [49][5860/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9336 (2.0179)	Prec@1 47.000 (47.891)	Prec@5 80.500 (78.313)
Epoch: [49][5870/9018]	Time 0.742 (0.614)	Data 0.001 (0.001)	Loss 1.8512 (2.0179)	Prec@1 55.000 (47.892)	Prec@5 80.000 (78.314)
Epoch: [49][5880/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.8434 (2.0179)	Prec@1 54.500 (47.892)	Prec@5 80.500 (78.313)
Epoch: [49][5890/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.0975 (2.0180)	Prec@1 49.500 (47.892)	Prec@5 79.500 (78.311)
Epoch: [49][5900/9018]	Time 0.620 (0.614)	Data 0.016 (0.001)	Loss 2.1718 (2.0180)	Prec@1 45.500 (47.891)	Prec@5 74.500 (78.313)
Epoch: [49][5910/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.1136 (2.0180)	Prec@1 44.500 (47.891)	Prec@5 76.500 (78.312)
Epoch: [49][5920/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 2.1017 (2.0181)	Prec@1 45.500 (47.889)	Prec@5 78.500 (78.311)
Epoch: [49][5930/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.7234 (2.0180)	Prec@1 55.500 (47.893)	Prec@5 86.500 (78.312)
Epoch: [49][5940/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.8653 (2.0180)	Prec@1 51.000 (47.891)	Prec@5 79.500 (78.311)
Epoch: [49][5950/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.6832 (2.0181)	Prec@1 50.500 (47.891)	Prec@5 85.500 (78.309)
Epoch: [49][5960/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0492 (2.0181)	Prec@1 45.000 (47.892)	Prec@5 79.500 (78.310)
Epoch: [49][5970/9018]	Time 0.617 (0.614)	Data 0.001 (0.001)	Loss 1.9998 (2.0181)	Prec@1 48.500 (47.893)	Prec@5 79.500 (78.310)
Epoch: [49][5980/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 1.9789 (2.0182)	Prec@1 51.000 (47.891)	Prec@5 76.000 (78.309)
Epoch: [49][5990/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 2.1639 (2.0182)	Prec@1 42.500 (47.891)	Prec@5 76.000 (78.308)
Epoch: [49][6000/9018]	Time 0.636 (0.614)	Data 0.001 (0.001)	Loss 2.0941 (2.0183)	Prec@1 43.000 (47.887)	Prec@5 76.000 (78.305)
Epoch: [49][6010/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.9052 (2.0183)	Prec@1 52.500 (47.891)	Prec@5 80.500 (78.306)
Epoch: [49][6020/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9196 (2.0182)	Prec@1 47.500 (47.892)	Prec@5 82.500 (78.309)
Epoch: [49][6030/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 1.9180 (2.0182)	Prec@1 48.500 (47.891)	Prec@5 81.000 (78.310)
Epoch: [49][6040/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9724 (2.0182)	Prec@1 50.500 (47.888)	Prec@5 80.500 (78.309)
Epoch: [49][6050/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.8882 (2.0183)	Prec@1 53.000 (47.886)	Prec@5 78.500 (78.306)
Epoch: [49][6060/9018]	Time 0.619 (0.614)	Data 0.016 (0.001)	Loss 2.2718 (2.0184)	Prec@1 43.500 (47.884)	Prec@5 74.500 (78.305)
Epoch: [49][6070/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.9453 (2.0185)	Prec@1 47.000 (47.882)	Prec@5 80.000 (78.304)
Epoch: [49][6080/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 1.9476 (2.0185)	Prec@1 50.000 (47.885)	Prec@5 81.500 (78.305)
Epoch: [49][6090/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.8818 (2.0184)	Prec@1 49.500 (47.888)	Prec@5 79.500 (78.306)
Epoch: [49][6100/9018]	Time 0.617 (0.614)	Data 0.001 (0.001)	Loss 1.9768 (2.0183)	Prec@1 50.000 (47.889)	Prec@5 78.000 (78.308)
Epoch: [49][6110/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.8783 (2.0183)	Prec@1 51.500 (47.888)	Prec@5 81.500 (78.308)
Epoch: [49][6120/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.0266 (2.0183)	Prec@1 52.000 (47.889)	Prec@5 77.500 (78.309)
Epoch: [49][6130/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 2.0769 (2.0183)	Prec@1 47.500 (47.885)	Prec@5 77.500 (78.308)
Epoch: [49][6140/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0110 (2.0183)	Prec@1 48.000 (47.886)	Prec@5 80.000 (78.308)
Epoch: [49][6150/9018]	Time 0.738 (0.614)	Data 0.001 (0.001)	Loss 1.9895 (2.0184)	Prec@1 47.500 (47.885)	Prec@5 80.000 (78.308)
Epoch: [49][6160/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0941 (2.0184)	Prec@1 45.000 (47.886)	Prec@5 77.000 (78.306)
Epoch: [49][6170/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0663 (2.0184)	Prec@1 49.000 (47.884)	Prec@5 77.000 (78.305)
Epoch: [49][6180/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 2.1563 (2.0185)	Prec@1 47.500 (47.884)	Prec@5 77.500 (78.304)
Epoch: [49][6190/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 2.1920 (2.0185)	Prec@1 41.000 (47.884)	Prec@5 77.000 (78.306)
Epoch: [49][6200/9018]	Time 0.709 (0.614)	Data 0.001 (0.001)	Loss 1.8620 (2.0185)	Prec@1 51.500 (47.883)	Prec@5 80.500 (78.305)
Epoch: [49][6210/9018]	Time 0.645 (0.614)	Data 0.001 (0.001)	Loss 1.8710 (2.0185)	Prec@1 53.500 (47.882)	Prec@5 79.500 (78.305)
Epoch: [49][6220/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 2.0411 (2.0185)	Prec@1 46.500 (47.883)	Prec@5 77.500 (78.306)
Epoch: [49][6230/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.9841 (2.0185)	Prec@1 45.000 (47.883)	Prec@5 83.500 (78.306)
Epoch: [49][6240/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.0475 (2.0186)	Prec@1 47.000 (47.878)	Prec@5 79.500 (78.306)
Epoch: [49][6250/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 1.7981 (2.0185)	Prec@1 50.500 (47.880)	Prec@5 81.500 (78.306)
Epoch: [49][6260/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.8650 (2.0186)	Prec@1 51.000 (47.879)	Prec@5 82.000 (78.306)
Epoch: [49][6270/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 2.1637 (2.0185)	Prec@1 47.000 (47.883)	Prec@5 74.000 (78.306)
Epoch: [49][6280/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 2.1454 (2.0187)	Prec@1 44.000 (47.879)	Prec@5 78.000 (78.303)
Epoch: [49][6290/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 2.2608 (2.0187)	Prec@1 40.000 (47.879)	Prec@5 75.500 (78.301)
Epoch: [49][6300/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 2.1378 (2.0188)	Prec@1 45.000 (47.877)	Prec@5 76.500 (78.300)
Epoch: [49][6310/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.0015 (2.0187)	Prec@1 51.500 (47.878)	Prec@5 81.500 (78.301)
Epoch: [49][6320/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.7654 (2.0187)	Prec@1 53.500 (47.878)	Prec@5 80.500 (78.300)
Epoch: [49][6330/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 2.1410 (2.0188)	Prec@1 43.000 (47.876)	Prec@5 77.000 (78.300)
Epoch: [49][6340/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9327 (2.0188)	Prec@1 51.500 (47.876)	Prec@5 80.500 (78.300)
Epoch: [49][6350/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.9598 (2.0188)	Prec@1 47.500 (47.877)	Prec@5 78.500 (78.301)
Epoch: [49][6360/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.1217 (2.0189)	Prec@1 46.500 (47.876)	Prec@5 75.500 (78.299)
Epoch: [49][6370/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 2.1027 (2.0190)	Prec@1 47.000 (47.875)	Prec@5 77.000 (78.298)
Epoch: [49][6380/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.1302 (2.0191)	Prec@1 46.500 (47.875)	Prec@5 78.000 (78.296)
Epoch: [49][6390/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0278 (2.0191)	Prec@1 47.000 (47.871)	Prec@5 77.000 (78.294)
Epoch: [49][6400/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 2.2583 (2.0192)	Prec@1 41.500 (47.869)	Prec@5 73.000 (78.292)
Epoch: [49][6410/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.1955 (2.0193)	Prec@1 46.500 (47.868)	Prec@5 77.000 (78.292)
Epoch: [49][6420/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.1396 (2.0193)	Prec@1 43.500 (47.868)	Prec@5 76.000 (78.291)
Epoch: [49][6430/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 1.9741 (2.0193)	Prec@1 51.000 (47.870)	Prec@5 78.500 (78.291)
Epoch: [49][6440/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.8954 (2.0194)	Prec@1 48.500 (47.869)	Prec@5 82.000 (78.291)
Epoch: [49][6450/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.0397 (2.0194)	Prec@1 46.000 (47.869)	Prec@5 81.000 (78.290)
Epoch: [49][6460/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.0364 (2.0194)	Prec@1 49.000 (47.867)	Prec@5 77.500 (78.290)
Epoch: [49][6470/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0030 (2.0195)	Prec@1 50.500 (47.869)	Prec@5 79.000 (78.289)
Epoch: [49][6480/9018]	Time 0.757 (0.614)	Data 0.001 (0.001)	Loss 2.1617 (2.0195)	Prec@1 47.500 (47.869)	Prec@5 72.500 (78.289)
Epoch: [49][6490/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.1861 (2.0196)	Prec@1 47.500 (47.867)	Prec@5 74.000 (78.285)
Epoch: [49][6500/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.9664 (2.0197)	Prec@1 49.500 (47.868)	Prec@5 78.500 (78.284)
Epoch: [49][6510/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 2.1158 (2.0197)	Prec@1 43.500 (47.866)	Prec@5 75.500 (78.284)
Epoch: [49][6520/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.8757 (2.0197)	Prec@1 47.500 (47.864)	Prec@5 82.000 (78.285)
Epoch: [49][6530/9018]	Time 0.722 (0.614)	Data 0.001 (0.001)	Loss 2.1274 (2.0198)	Prec@1 42.500 (47.862)	Prec@5 75.500 (78.284)
Epoch: [49][6540/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 2.0785 (2.0197)	Prec@1 48.500 (47.863)	Prec@5 78.000 (78.287)
Epoch: [49][6550/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.1381 (2.0197)	Prec@1 49.500 (47.862)	Prec@5 76.000 (78.286)
Epoch: [49][6560/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 2.2268 (2.0198)	Prec@1 43.500 (47.862)	Prec@5 74.500 (78.286)
Epoch: [49][6570/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0748 (2.0198)	Prec@1 45.000 (47.860)	Prec@5 77.500 (78.287)
Epoch: [49][6580/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.3625 (2.0200)	Prec@1 38.500 (47.856)	Prec@5 73.000 (78.285)
Epoch: [49][6590/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 2.0325 (2.0200)	Prec@1 48.500 (47.854)	Prec@5 77.000 (78.284)
Epoch: [49][6600/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 1.6819 (2.0201)	Prec@1 57.000 (47.856)	Prec@5 84.500 (78.283)
Epoch: [49][6610/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 2.2161 (2.0202)	Prec@1 44.000 (47.850)	Prec@5 74.000 (78.282)
Epoch: [49][6620/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.1018 (2.0203)	Prec@1 44.000 (47.847)	Prec@5 76.500 (78.280)
Epoch: [49][6630/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.9738 (2.0203)	Prec@1 51.000 (47.849)	Prec@5 81.500 (78.282)
Epoch: [49][6640/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 2.0402 (2.0203)	Prec@1 48.500 (47.850)	Prec@5 80.000 (78.281)
Epoch: [49][6650/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 1.7980 (2.0202)	Prec@1 54.500 (47.850)	Prec@5 82.500 (78.281)
Epoch: [49][6660/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 2.0796 (2.0202)	Prec@1 49.000 (47.851)	Prec@5 75.500 (78.282)
Epoch: [49][6670/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 2.0029 (2.0202)	Prec@1 52.000 (47.850)	Prec@5 80.000 (78.283)
Epoch: [49][6680/9018]	Time 0.589 (0.614)	Data 0.001 (0.001)	Loss 1.8267 (2.0202)	Prec@1 50.500 (47.852)	Prec@5 81.000 (78.284)
Epoch: [49][6690/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.0151 (2.0201)	Prec@1 44.500 (47.854)	Prec@5 77.000 (78.286)
Epoch: [49][6700/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 2.0865 (2.0201)	Prec@1 46.000 (47.854)	Prec@5 79.000 (78.286)
Epoch: [49][6710/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 1.7544 (2.0201)	Prec@1 52.000 (47.854)	Prec@5 83.500 (78.287)
Epoch: [49][6720/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9070 (2.0201)	Prec@1 54.000 (47.854)	Prec@5 84.500 (78.288)
Epoch: [49][6730/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 2.1000 (2.0201)	Prec@1 50.000 (47.857)	Prec@5 79.000 (78.289)
Epoch: [49][6740/9018]	Time 0.633 (0.614)	Data 0.001 (0.001)	Loss 2.0506 (2.0199)	Prec@1 45.000 (47.862)	Prec@5 80.500 (78.291)
Epoch: [49][6750/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.9857 (2.0200)	Prec@1 49.500 (47.861)	Prec@5 79.500 (78.291)
Epoch: [49][6760/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 2.2009 (2.0201)	Prec@1 44.500 (47.861)	Prec@5 75.000 (78.289)
Epoch: [49][6770/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 1.9687 (2.0200)	Prec@1 47.000 (47.861)	Prec@5 80.500 (78.290)
Epoch: [49][6780/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1189 (2.0200)	Prec@1 45.500 (47.860)	Prec@5 78.000 (78.289)
Epoch: [49][6790/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.9674 (2.0200)	Prec@1 44.000 (47.859)	Prec@5 78.500 (78.289)
Epoch: [49][6800/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.9951 (2.0200)	Prec@1 48.500 (47.862)	Prec@5 78.500 (78.288)
Epoch: [49][6810/9018]	Time 0.748 (0.614)	Data 0.001 (0.001)	Loss 2.2493 (2.0200)	Prec@1 40.000 (47.860)	Prec@5 75.500 (78.288)
Epoch: [49][6820/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 1.9858 (2.0200)	Prec@1 48.500 (47.861)	Prec@5 76.500 (78.288)
Epoch: [49][6830/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 2.0954 (2.0199)	Prec@1 47.500 (47.862)	Prec@5 78.000 (78.290)
Epoch: [49][6840/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.9239 (2.0200)	Prec@1 50.500 (47.863)	Prec@5 82.500 (78.288)
Epoch: [49][6850/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 1.9343 (2.0200)	Prec@1 49.000 (47.864)	Prec@5 80.500 (78.287)
Epoch: [49][6860/9018]	Time 0.718 (0.614)	Data 0.001 (0.001)	Loss 2.0657 (2.0200)	Prec@1 46.000 (47.863)	Prec@5 79.500 (78.287)
Epoch: [49][6870/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9974 (2.0199)	Prec@1 50.000 (47.865)	Prec@5 78.000 (78.287)
Epoch: [49][6880/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 2.0943 (2.0199)	Prec@1 45.500 (47.867)	Prec@5 77.500 (78.289)
Epoch: [49][6890/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0267 (2.0199)	Prec@1 49.500 (47.867)	Prec@5 77.000 (78.289)
Epoch: [49][6900/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 1.9676 (2.0199)	Prec@1 50.000 (47.867)	Prec@5 82.000 (78.289)
Epoch: [49][6910/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 2.0008 (2.0200)	Prec@1 47.500 (47.866)	Prec@5 80.500 (78.287)
Epoch: [49][6920/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.9116 (2.0200)	Prec@1 50.000 (47.866)	Prec@5 80.000 (78.287)
Epoch: [49][6930/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 2.2208 (2.0200)	Prec@1 45.500 (47.868)	Prec@5 76.000 (78.287)
Epoch: [49][6940/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 2.2093 (2.0199)	Prec@1 39.500 (47.869)	Prec@5 78.000 (78.287)
Epoch: [49][6950/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.9755 (2.0200)	Prec@1 48.500 (47.868)	Prec@5 80.500 (78.287)
Epoch: [49][6960/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.9104 (2.0200)	Prec@1 48.500 (47.868)	Prec@5 80.000 (78.288)
Epoch: [49][6970/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.1869 (2.0201)	Prec@1 42.500 (47.864)	Prec@5 75.500 (78.286)
Epoch: [49][6980/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 2.0023 (2.0201)	Prec@1 52.000 (47.864)	Prec@5 80.000 (78.286)
Epoch: [49][6990/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 2.0292 (2.0202)	Prec@1 46.000 (47.861)	Prec@5 78.000 (78.286)
Epoch: [49][7000/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.8615 (2.0201)	Prec@1 50.000 (47.862)	Prec@5 80.000 (78.288)
Epoch: [49][7010/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 2.1049 (2.0202)	Prec@1 49.500 (47.861)	Prec@5 77.000 (78.288)
Epoch: [49][7020/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.0190 (2.0201)	Prec@1 47.500 (47.861)	Prec@5 78.000 (78.288)
Epoch: [49][7030/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.1917 (2.0202)	Prec@1 42.000 (47.861)	Prec@5 75.000 (78.288)
Epoch: [49][7040/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.9201 (2.0202)	Prec@1 53.000 (47.860)	Prec@5 77.000 (78.288)
Epoch: [49][7050/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.8081 (2.0202)	Prec@1 51.000 (47.860)	Prec@5 83.000 (78.287)
Epoch: [49][7060/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 2.0448 (2.0203)	Prec@1 48.000 (47.859)	Prec@5 77.000 (78.285)
Epoch: [49][7070/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 2.0310 (2.0203)	Prec@1 47.000 (47.859)	Prec@5 78.000 (78.284)
Epoch: [49][7080/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 2.2492 (2.0204)	Prec@1 44.000 (47.856)	Prec@5 71.000 (78.281)
Epoch: [49][7090/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 2.2226 (2.0204)	Prec@1 47.500 (47.855)	Prec@5 73.000 (78.280)
Epoch: [49][7100/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 2.0842 (2.0205)	Prec@1 47.500 (47.852)	Prec@5 80.000 (78.279)
Epoch: [49][7110/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.1402 (2.0205)	Prec@1 48.000 (47.850)	Prec@5 74.500 (78.279)
Epoch: [49][7120/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 2.0042 (2.0204)	Prec@1 44.000 (47.851)	Prec@5 80.000 (78.280)
Epoch: [49][7130/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 1.8831 (2.0205)	Prec@1 50.500 (47.851)	Prec@5 79.500 (78.280)
Epoch: [49][7140/9018]	Time 0.719 (0.614)	Data 0.001 (0.001)	Loss 2.1804 (2.0206)	Prec@1 42.000 (47.847)	Prec@5 74.500 (78.279)
Epoch: [49][7150/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.7526 (2.0206)	Prec@1 52.500 (47.846)	Prec@5 84.500 (78.279)
Epoch: [49][7160/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 2.0893 (2.0205)	Prec@1 47.000 (47.848)	Prec@5 77.000 (78.278)
Epoch: [49][7170/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9781 (2.0206)	Prec@1 47.500 (47.847)	Prec@5 77.500 (78.276)
Epoch: [49][7180/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9069 (2.0206)	Prec@1 54.500 (47.846)	Prec@5 79.500 (78.278)
Epoch: [49][7190/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 2.0891 (2.0205)	Prec@1 45.000 (47.849)	Prec@5 79.500 (78.280)
Epoch: [49][7200/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.0995 (2.0206)	Prec@1 47.000 (47.848)	Prec@5 73.000 (78.277)
Epoch: [49][7210/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1763 (2.0206)	Prec@1 42.500 (47.848)	Prec@5 73.000 (78.277)
Epoch: [49][7220/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8518 (2.0205)	Prec@1 50.500 (47.846)	Prec@5 81.000 (78.277)
Epoch: [49][7230/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1553 (2.0206)	Prec@1 49.000 (47.846)	Prec@5 73.500 (78.277)
Epoch: [49][7240/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.2332 (2.0206)	Prec@1 43.000 (47.844)	Prec@5 76.500 (78.278)
Epoch: [49][7250/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1481 (2.0205)	Prec@1 44.000 (47.845)	Prec@5 79.500 (78.279)
Epoch: [49][7260/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.0460 (2.0205)	Prec@1 49.000 (47.845)	Prec@5 76.500 (78.278)
Epoch: [49][7270/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.9360 (2.0206)	Prec@1 49.500 (47.844)	Prec@5 79.000 (78.278)
Epoch: [49][7280/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0134 (2.0207)	Prec@1 47.500 (47.842)	Prec@5 80.500 (78.276)
Epoch: [49][7290/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0846 (2.0207)	Prec@1 46.500 (47.842)	Prec@5 74.500 (78.275)
Epoch: [49][7300/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9816 (2.0208)	Prec@1 51.000 (47.843)	Prec@5 77.000 (78.274)
Epoch: [49][7310/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.0206 (2.0208)	Prec@1 52.000 (47.841)	Prec@5 78.000 (78.272)
Epoch: [49][7320/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9305 (2.0208)	Prec@1 46.500 (47.841)	Prec@5 80.500 (78.272)
Epoch: [49][7330/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0028 (2.0208)	Prec@1 49.000 (47.841)	Prec@5 80.500 (78.274)
Epoch: [49][7340/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.9606 (2.0208)	Prec@1 50.500 (47.842)	Prec@5 82.000 (78.274)
Epoch: [49][7350/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9369 (2.0207)	Prec@1 47.000 (47.842)	Prec@5 82.500 (78.276)
Epoch: [49][7360/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8621 (2.0207)	Prec@1 52.500 (47.841)	Prec@5 79.500 (78.275)
Epoch: [49][7370/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0526 (2.0208)	Prec@1 49.000 (47.840)	Prec@5 79.500 (78.274)
Epoch: [49][7380/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 2.1603 (2.0209)	Prec@1 46.500 (47.836)	Prec@5 76.500 (78.272)
Epoch: [49][7390/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.0085 (2.0210)	Prec@1 48.000 (47.836)	Prec@5 78.000 (78.271)
Epoch: [49][7400/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0882 (2.0210)	Prec@1 46.000 (47.835)	Prec@5 78.500 (78.270)
Epoch: [49][7410/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0568 (2.0210)	Prec@1 50.000 (47.836)	Prec@5 76.000 (78.270)
Epoch: [49][7420/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9291 (2.0210)	Prec@1 55.000 (47.836)	Prec@5 77.500 (78.270)
Epoch: [49][7430/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8469 (2.0209)	Prec@1 51.000 (47.837)	Prec@5 80.500 (78.270)
Epoch: [49][7440/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.9926 (2.0211)	Prec@1 53.500 (47.834)	Prec@5 78.500 (78.268)
Epoch: [49][7450/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.9342 (2.0211)	Prec@1 47.500 (47.831)	Prec@5 74.500 (78.266)
Epoch: [49][7460/9018]	Time 0.617 (0.615)	Data 0.002 (0.001)	Loss 1.9246 (2.0212)	Prec@1 51.000 (47.830)	Prec@5 80.000 (78.265)
Epoch: [49][7470/9018]	Time 0.754 (0.615)	Data 0.001 (0.001)	Loss 2.1898 (2.0211)	Prec@1 43.500 (47.829)	Prec@5 76.500 (78.266)
Epoch: [49][7480/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 2.1258 (2.0211)	Prec@1 45.500 (47.829)	Prec@5 76.500 (78.265)
Epoch: [49][7490/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.1859 (2.0212)	Prec@1 41.500 (47.830)	Prec@5 75.500 (78.264)
Epoch: [49][7500/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 2.1188 (2.0212)	Prec@1 45.000 (47.830)	Prec@5 76.500 (78.262)
Epoch: [49][7510/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 2.0206 (2.0213)	Prec@1 47.500 (47.828)	Prec@5 77.500 (78.260)
Epoch: [49][7520/9018]	Time 0.711 (0.615)	Data 0.001 (0.001)	Loss 1.8883 (2.0213)	Prec@1 49.500 (47.828)	Prec@5 83.000 (78.260)
Epoch: [49][7530/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1109 (2.0212)	Prec@1 45.000 (47.829)	Prec@5 75.500 (78.262)
Epoch: [49][7540/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0097 (2.0212)	Prec@1 50.500 (47.830)	Prec@5 81.000 (78.262)
Epoch: [49][7550/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.2362 (2.0212)	Prec@1 42.500 (47.828)	Prec@5 76.000 (78.262)
Epoch: [49][7560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0991 (2.0212)	Prec@1 46.500 (47.826)	Prec@5 75.000 (78.262)
Epoch: [49][7570/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.2719 (2.0212)	Prec@1 40.500 (47.827)	Prec@5 75.500 (78.262)
Epoch: [49][7580/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1382 (2.0213)	Prec@1 48.000 (47.825)	Prec@5 77.500 (78.259)
Epoch: [49][7590/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9106 (2.0214)	Prec@1 53.500 (47.825)	Prec@5 79.500 (78.258)
Epoch: [49][7600/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9720 (2.0214)	Prec@1 43.000 (47.826)	Prec@5 81.000 (78.259)
Epoch: [49][7610/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8403 (2.0214)	Prec@1 51.000 (47.827)	Prec@5 83.000 (78.260)
Epoch: [49][7620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0136 (2.0214)	Prec@1 47.500 (47.826)	Prec@5 76.000 (78.261)
Epoch: [49][7630/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 2.0472 (2.0215)	Prec@1 50.000 (47.822)	Prec@5 76.000 (78.261)
Epoch: [49][7640/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0129 (2.0216)	Prec@1 47.500 (47.819)	Prec@5 76.000 (78.257)
Epoch: [49][7650/9018]	Time 0.594 (0.615)	Data 0.004 (0.001)	Loss 2.2018 (2.0216)	Prec@1 45.000 (47.820)	Prec@5 76.500 (78.259)
Epoch: [49][7660/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8369 (2.0216)	Prec@1 50.500 (47.820)	Prec@5 84.000 (78.259)
Epoch: [49][7670/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9579 (2.0215)	Prec@1 49.000 (47.821)	Prec@5 78.500 (78.260)
Epoch: [49][7680/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0212 (2.0215)	Prec@1 45.000 (47.820)	Prec@5 79.000 (78.260)
Epoch: [49][7690/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 2.1426 (2.0215)	Prec@1 44.000 (47.822)	Prec@5 75.000 (78.260)
Epoch: [49][7700/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.9319 (2.0215)	Prec@1 51.000 (47.823)	Prec@5 78.500 (78.260)
Epoch: [49][7710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0620 (2.0215)	Prec@1 44.000 (47.823)	Prec@5 80.000 (78.260)
Epoch: [49][7720/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0587 (2.0215)	Prec@1 46.000 (47.824)	Prec@5 79.000 (78.261)
Epoch: [49][7730/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9192 (2.0215)	Prec@1 51.500 (47.826)	Prec@5 79.000 (78.262)
Epoch: [49][7740/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1100 (2.0216)	Prec@1 46.000 (47.826)	Prec@5 77.500 (78.260)
Epoch: [49][7750/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 2.1366 (2.0216)	Prec@1 47.000 (47.827)	Prec@5 77.500 (78.261)
Epoch: [49][7760/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.2036 (2.0217)	Prec@1 43.500 (47.823)	Prec@5 75.500 (78.259)
Epoch: [49][7770/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.0603 (2.0216)	Prec@1 51.500 (47.825)	Prec@5 77.500 (78.260)
Epoch: [49][7780/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8731 (2.0216)	Prec@1 45.500 (47.826)	Prec@5 83.000 (78.261)
Epoch: [49][7790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.0351 (2.0216)	Prec@1 46.000 (47.823)	Prec@5 78.000 (78.261)
Epoch: [49][7800/9018]	Time 0.764 (0.615)	Data 0.001 (0.001)	Loss 2.1800 (2.0217)	Prec@1 50.500 (47.821)	Prec@5 74.000 (78.260)
Epoch: [49][7810/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 2.0380 (2.0218)	Prec@1 45.500 (47.819)	Prec@5 78.500 (78.258)
Epoch: [49][7820/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8503 (2.0217)	Prec@1 54.500 (47.819)	Prec@5 81.500 (78.258)
Epoch: [49][7830/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9473 (2.0217)	Prec@1 50.000 (47.820)	Prec@5 75.500 (78.258)
Epoch: [49][7840/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 2.1200 (2.0218)	Prec@1 46.000 (47.820)	Prec@5 77.000 (78.258)
Epoch: [49][7850/9018]	Time 0.771 (0.615)	Data 0.001 (0.001)	Loss 2.1181 (2.0217)	Prec@1 47.000 (47.820)	Prec@5 76.500 (78.258)
Epoch: [49][7860/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 2.3012 (2.0218)	Prec@1 40.000 (47.817)	Prec@5 77.000 (78.257)
Epoch: [49][7870/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.2281 (2.0219)	Prec@1 39.500 (47.814)	Prec@5 77.500 (78.257)
Epoch: [49][7880/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.9355 (2.0219)	Prec@1 44.500 (47.813)	Prec@5 79.500 (78.256)
Epoch: [49][7890/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0822 (2.0220)	Prec@1 47.500 (47.812)	Prec@5 77.500 (78.255)
Epoch: [49][7900/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0718 (2.0219)	Prec@1 48.500 (47.814)	Prec@5 78.000 (78.255)
Epoch: [49][7910/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8753 (2.0219)	Prec@1 49.500 (47.814)	Prec@5 81.500 (78.255)
Epoch: [49][7920/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8976 (2.0220)	Prec@1 52.000 (47.813)	Prec@5 79.500 (78.255)
Epoch: [49][7930/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.1792 (2.0220)	Prec@1 47.500 (47.814)	Prec@5 74.500 (78.255)
Epoch: [49][7940/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9446 (2.0220)	Prec@1 45.000 (47.813)	Prec@5 84.000 (78.257)
Epoch: [49][7950/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9735 (2.0220)	Prec@1 52.000 (47.812)	Prec@5 77.000 (78.255)
Epoch: [49][7960/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.9474 (2.0220)	Prec@1 48.000 (47.815)	Prec@5 78.000 (78.257)
Epoch: [49][7970/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.9534 (2.0219)	Prec@1 46.500 (47.815)	Prec@5 81.500 (78.257)
Epoch: [49][7980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0800 (2.0220)	Prec@1 48.000 (47.813)	Prec@5 77.500 (78.255)
Epoch: [49][7990/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.9972 (2.0220)	Prec@1 51.000 (47.813)	Prec@5 79.500 (78.255)
Epoch: [49][8000/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9416 (2.0220)	Prec@1 52.500 (47.813)	Prec@5 75.000 (78.255)
Epoch: [49][8010/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0289 (2.0220)	Prec@1 50.000 (47.814)	Prec@5 76.000 (78.255)
Epoch: [49][8020/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 2.1193 (2.0221)	Prec@1 45.000 (47.812)	Prec@5 77.500 (78.253)
Epoch: [49][8030/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2760 (2.0222)	Prec@1 42.500 (47.811)	Prec@5 78.000 (78.252)
Epoch: [49][8040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.9864 (2.0222)	Prec@1 50.500 (47.810)	Prec@5 79.500 (78.250)
Epoch: [49][8050/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.1757 (2.0223)	Prec@1 48.000 (47.810)	Prec@5 74.000 (78.250)
Epoch: [49][8060/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0113 (2.0223)	Prec@1 49.000 (47.807)	Prec@5 77.000 (78.248)
Epoch: [49][8070/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 2.1042 (2.0224)	Prec@1 38.000 (47.804)	Prec@5 72.500 (78.247)
Epoch: [49][8080/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9897 (2.0223)	Prec@1 48.000 (47.807)	Prec@5 78.500 (78.247)
Epoch: [49][8090/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.4141 (2.0224)	Prec@1 36.500 (47.805)	Prec@5 70.000 (78.245)
Epoch: [49][8100/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8806 (2.0223)	Prec@1 44.000 (47.805)	Prec@5 82.000 (78.247)
Epoch: [49][8110/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.8064 (2.0224)	Prec@1 50.500 (47.805)	Prec@5 83.000 (78.247)
Epoch: [49][8120/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.1035 (2.0224)	Prec@1 49.500 (47.805)	Prec@5 75.500 (78.245)
Epoch: [49][8130/9018]	Time 0.802 (0.615)	Data 0.001 (0.001)	Loss 2.0226 (2.0224)	Prec@1 47.500 (47.804)	Prec@5 79.500 (78.246)
Epoch: [49][8140/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0640 (2.0225)	Prec@1 44.500 (47.801)	Prec@5 77.500 (78.242)
Epoch: [49][8150/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 2.0613 (2.0225)	Prec@1 46.000 (47.802)	Prec@5 78.500 (78.242)
Epoch: [49][8160/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.9592 (2.0224)	Prec@1 51.500 (47.806)	Prec@5 80.500 (78.243)
Epoch: [49][8170/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 2.2391 (2.0224)	Prec@1 44.000 (47.804)	Prec@5 74.000 (78.243)
Epoch: [49][8180/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 2.0068 (2.0226)	Prec@1 50.500 (47.802)	Prec@5 77.500 (78.240)
Epoch: [49][8190/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.9873 (2.0226)	Prec@1 49.500 (47.799)	Prec@5 78.500 (78.238)
Epoch: [49][8200/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.2183 (2.0227)	Prec@1 46.000 (47.799)	Prec@5 77.000 (78.238)
Epoch: [49][8210/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.9097 (2.0228)	Prec@1 53.000 (47.798)	Prec@5 79.500 (78.237)
Epoch: [49][8220/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9793 (2.0228)	Prec@1 44.500 (47.799)	Prec@5 82.500 (78.239)
Epoch: [49][8230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.2544 (2.0228)	Prec@1 45.000 (47.797)	Prec@5 71.000 (78.239)
Epoch: [49][8240/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 2.2490 (2.0229)	Prec@1 44.000 (47.794)	Prec@5 69.000 (78.236)
Epoch: [49][8250/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0568 (2.0231)	Prec@1 46.500 (47.792)	Prec@5 76.500 (78.234)
Epoch: [49][8260/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.0083 (2.0231)	Prec@1 50.500 (47.791)	Prec@5 78.500 (78.231)
Epoch: [49][8270/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0279 (2.0232)	Prec@1 44.500 (47.793)	Prec@5 76.500 (78.231)
Epoch: [49][8280/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1531 (2.0231)	Prec@1 44.000 (47.794)	Prec@5 75.500 (78.232)
Epoch: [49][8290/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.2558 (2.0231)	Prec@1 44.000 (47.794)	Prec@5 73.500 (78.232)
Epoch: [49][8300/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 2.0190 (2.0231)	Prec@1 49.500 (47.794)	Prec@5 77.000 (78.233)
Epoch: [49][8310/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.2000 (2.0231)	Prec@1 39.500 (47.793)	Prec@5 76.000 (78.233)
Epoch: [49][8320/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1548 (2.0231)	Prec@1 46.500 (47.792)	Prec@5 78.000 (78.234)
Epoch: [49][8330/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.9247 (2.0232)	Prec@1 47.500 (47.788)	Prec@5 82.000 (78.233)
Epoch: [49][8340/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.9371 (2.0232)	Prec@1 47.000 (47.786)	Prec@5 81.000 (78.232)
Epoch: [49][8350/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.0568 (2.0233)	Prec@1 47.000 (47.786)	Prec@5 77.000 (78.230)
Epoch: [49][8360/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.1022 (2.0233)	Prec@1 46.500 (47.787)	Prec@5 73.500 (78.230)
Epoch: [49][8370/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 2.1079 (2.0234)	Prec@1 43.500 (47.784)	Prec@5 79.500 (78.229)
Epoch: [49][8380/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.1955 (2.0235)	Prec@1 44.500 (47.783)	Prec@5 77.500 (78.227)
Epoch: [49][8390/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0447 (2.0235)	Prec@1 51.000 (47.783)	Prec@5 75.500 (78.225)
Epoch: [49][8400/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0875 (2.0235)	Prec@1 45.500 (47.783)	Prec@5 74.500 (78.225)
Epoch: [49][8410/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0784 (2.0236)	Prec@1 47.000 (47.782)	Prec@5 76.000 (78.224)
Epoch: [49][8420/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9815 (2.0236)	Prec@1 51.000 (47.784)	Prec@5 80.500 (78.226)
Epoch: [49][8430/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 2.0158 (2.0236)	Prec@1 50.500 (47.783)	Prec@5 77.000 (78.225)
Epoch: [49][8440/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 2.0491 (2.0236)	Prec@1 46.000 (47.783)	Prec@5 78.500 (78.225)
Epoch: [49][8450/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8818 (2.0236)	Prec@1 48.000 (47.782)	Prec@5 84.500 (78.226)
Epoch: [49][8460/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 1.9978 (2.0236)	Prec@1 45.500 (47.781)	Prec@5 77.500 (78.225)
Epoch: [49][8470/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1864 (2.0236)	Prec@1 43.000 (47.782)	Prec@5 77.000 (78.225)
Epoch: [49][8480/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.1047 (2.0237)	Prec@1 48.500 (47.781)	Prec@5 76.500 (78.224)
Epoch: [49][8490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.1695 (2.0237)	Prec@1 47.000 (47.781)	Prec@5 77.500 (78.226)
Epoch: [49][8500/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.2120 (2.0237)	Prec@1 41.500 (47.781)	Prec@5 79.000 (78.226)
Epoch: [49][8510/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 1.8942 (2.0237)	Prec@1 50.000 (47.781)	Prec@5 82.500 (78.227)
Epoch: [49][8520/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1382 (2.0237)	Prec@1 44.500 (47.780)	Prec@5 75.000 (78.228)
Epoch: [49][8530/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 2.1106 (2.0237)	Prec@1 44.000 (47.780)	Prec@5 77.000 (78.227)
Epoch: [49][8540/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 2.2798 (2.0237)	Prec@1 42.000 (47.780)	Prec@5 73.000 (78.228)
Epoch: [49][8550/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0824 (2.0237)	Prec@1 47.500 (47.780)	Prec@5 77.000 (78.229)
Epoch: [49][8560/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.9216 (2.0237)	Prec@1 48.500 (47.778)	Prec@5 82.000 (78.228)
Epoch: [49][8570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.3198 (2.0237)	Prec@1 40.000 (47.779)	Prec@5 74.500 (78.229)
Epoch: [49][8580/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8946 (2.0237)	Prec@1 52.500 (47.778)	Prec@5 82.500 (78.229)
Epoch: [49][8590/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.0018 (2.0238)	Prec@1 47.000 (47.779)	Prec@5 78.500 (78.227)
Epoch: [49][8600/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.9721 (2.0237)	Prec@1 50.500 (47.780)	Prec@5 80.000 (78.228)
Epoch: [49][8610/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 2.2285 (2.0238)	Prec@1 44.500 (47.779)	Prec@5 72.000 (78.226)
Epoch: [49][8620/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.1205 (2.0238)	Prec@1 42.500 (47.777)	Prec@5 76.500 (78.227)
Epoch: [49][8630/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.8139 (2.0237)	Prec@1 53.000 (47.778)	Prec@5 82.000 (78.228)
Epoch: [49][8640/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7198 (2.0237)	Prec@1 55.500 (47.778)	Prec@5 82.500 (78.229)
Epoch: [49][8650/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 2.1383 (2.0237)	Prec@1 46.000 (47.779)	Prec@5 78.500 (78.228)
Epoch: [49][8660/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0158 (2.0237)	Prec@1 47.500 (47.779)	Prec@5 77.000 (78.229)
Epoch: [49][8670/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.0355 (2.0237)	Prec@1 45.000 (47.777)	Prec@5 78.000 (78.229)
Epoch: [49][8680/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 2.1139 (2.0237)	Prec@1 44.000 (47.778)	Prec@5 76.000 (78.231)
Epoch: [49][8690/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.1518 (2.0237)	Prec@1 41.000 (47.778)	Prec@5 76.000 (78.232)
Epoch: [49][8700/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0114 (2.0236)	Prec@1 47.000 (47.778)	Prec@5 79.500 (78.232)
Epoch: [49][8710/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8810 (2.0236)	Prec@1 49.000 (47.776)	Prec@5 81.500 (78.231)
Epoch: [49][8720/9018]	Time 0.601 (0.615)	Data 0.006 (0.001)	Loss 2.0516 (2.0236)	Prec@1 47.500 (47.776)	Prec@5 78.000 (78.231)
Epoch: [49][8730/9018]	Time 0.607 (0.615)	Data 0.004 (0.001)	Loss 2.0280 (2.0236)	Prec@1 43.000 (47.775)	Prec@5 82.000 (78.232)
Epoch: [49][8740/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 2.1976 (2.0237)	Prec@1 46.500 (47.772)	Prec@5 74.500 (78.230)
Epoch: [49][8750/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0440 (2.0237)	Prec@1 46.500 (47.772)	Prec@5 78.500 (78.231)
Epoch: [49][8760/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9238 (2.0237)	Prec@1 48.000 (47.771)	Prec@5 81.000 (78.230)
Epoch: [49][8770/9018]	Time 0.612 (0.615)	Data 0.002 (0.001)	Loss 1.9999 (2.0238)	Prec@1 49.000 (47.771)	Prec@5 75.500 (78.230)
Epoch: [49][8780/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0786 (2.0238)	Prec@1 44.500 (47.772)	Prec@5 77.500 (78.230)
Epoch: [49][8790/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 2.0048 (2.0237)	Prec@1 47.500 (47.773)	Prec@5 76.000 (78.230)
Epoch: [49][8800/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 2.0807 (2.0238)	Prec@1 49.000 (47.772)	Prec@5 76.000 (78.228)
Epoch: [49][8810/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8953 (2.0238)	Prec@1 53.000 (47.774)	Prec@5 80.500 (78.229)
Epoch: [49][8820/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 2.0005 (2.0238)	Prec@1 48.000 (47.775)	Prec@5 80.500 (78.230)
Epoch: [49][8830/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 2.0579 (2.0238)	Prec@1 45.500 (47.774)	Prec@5 79.000 (78.228)
Epoch: [49][8840/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 2.1639 (2.0238)	Prec@1 44.500 (47.775)	Prec@5 76.000 (78.228)
Epoch: [49][8850/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 2.0837 (2.0238)	Prec@1 48.500 (47.776)	Prec@5 77.000 (78.227)
Epoch: [49][8860/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8038 (2.0238)	Prec@1 52.000 (47.777)	Prec@5 84.500 (78.228)
Epoch: [49][8870/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 2.2446 (2.0238)	Prec@1 48.000 (47.778)	Prec@5 74.000 (78.229)
Epoch: [49][8880/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 2.0660 (2.0239)	Prec@1 44.000 (47.775)	Prec@5 77.500 (78.228)
Epoch: [49][8890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 2.0840 (2.0239)	Prec@1 46.500 (47.774)	Prec@5 76.500 (78.227)
Epoch: [49][8900/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7844 (2.0239)	Prec@1 49.000 (47.775)	Prec@5 81.000 (78.228)
Epoch: [49][8910/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 2.1157 (2.0239)	Prec@1 45.000 (47.774)	Prec@5 74.000 (78.227)
Epoch: [49][8920/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0860 (2.0240)	Prec@1 47.000 (47.772)	Prec@5 76.000 (78.228)
Epoch: [49][8930/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.9142 (2.0239)	Prec@1 50.500 (47.772)	Prec@5 79.000 (78.228)
Epoch: [49][8940/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9810 (2.0240)	Prec@1 47.000 (47.772)	Prec@5 78.500 (78.226)
Epoch: [49][8950/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 2.1085 (2.0240)	Prec@1 47.000 (47.771)	Prec@5 78.500 (78.227)
Epoch: [49][8960/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.3095 (2.0240)	Prec@1 41.500 (47.769)	Prec@5 73.500 (78.226)
Epoch: [49][8970/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.1897 (2.0241)	Prec@1 49.000 (47.769)	Prec@5 76.500 (78.226)
Epoch: [49][8980/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8984 (2.0241)	Prec@1 51.000 (47.769)	Prec@5 80.000 (78.226)
Epoch: [49][8990/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.8488 (2.0241)	Prec@1 46.500 (47.769)	Prec@5 82.000 (78.227)
Epoch: [49][9000/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 2.0049 (2.0240)	Prec@1 46.500 (47.771)	Prec@5 77.500 (78.228)
Epoch: [49][9010/9018]	Time 0.599 (0.615)	Data 0.000 (0.001)	Loss 2.0423 (2.0240)	Prec@1 48.500 (47.771)	Prec@5 74.000 (78.228)
Test: [0/183]	Time 1.745 (1.745)	Loss 2.3751 (2.3751)	Prec@1 36.000 (36.000)	Prec@5 74.500 (74.500)
Test: [10/183]	Time 0.193 (0.340)	Loss 1.6510 (1.6457)	Prec@1 60.000 (56.455)	Prec@5 82.000 (85.455)
Test: [20/183]	Time 0.244 (0.270)	Loss 2.1822 (1.6480)	Prec@1 42.000 (55.690)	Prec@5 80.000 (85.000)
Test: [30/183]	Time 0.189 (0.243)	Loss 2.2252 (1.6831)	Prec@1 32.500 (54.597)	Prec@5 81.500 (84.758)
Test: [40/183]	Time 0.179 (0.231)	Loss 2.2029 (1.6790)	Prec@1 38.000 (55.159)	Prec@5 80.500 (84.146)
Test: [50/183]	Time 0.181 (0.222)	Loss 1.4972 (1.6610)	Prec@1 51.500 (55.441)	Prec@5 87.500 (84.422)
Test: [60/183]	Time 0.190 (0.219)	Loss 2.3214 (1.7465)	Prec@1 37.000 (53.016)	Prec@5 74.500 (83.377)
Test: [70/183]	Time 0.234 (0.215)	Loss 1.6556 (1.7266)	Prec@1 52.500 (53.169)	Prec@5 87.500 (83.972)
Test: [80/183]	Time 0.195 (0.212)	Loss 1.5658 (1.7153)	Prec@1 52.500 (53.383)	Prec@5 91.000 (84.099)
Test: [90/183]	Time 0.189 (0.211)	Loss 2.4167 (1.7158)	Prec@1 37.000 (53.451)	Prec@5 73.000 (84.022)
Test: [100/183]	Time 0.189 (0.209)	Loss 0.6709 (1.7176)	Prec@1 77.500 (53.366)	Prec@5 96.000 (84.000)
Test: [110/183]	Time 0.192 (0.208)	Loss 0.7579 (1.7219)	Prec@1 82.000 (53.288)	Prec@5 97.500 (83.968)
Test: [120/183]	Time 0.190 (0.207)	Loss 1.8971 (1.7290)	Prec@1 50.000 (53.050)	Prec@5 77.000 (83.992)
Test: [130/183]	Time 0.184 (0.206)	Loss 3.1069 (1.7395)	Prec@1 18.500 (52.824)	Prec@5 69.500 (83.992)
Test: [140/183]	Time 0.183 (0.205)	Loss 1.5656 (1.7358)	Prec@1 59.000 (52.993)	Prec@5 85.000 (84.021)
Test: [150/183]	Time 0.192 (0.204)	Loss 0.5797 (1.7323)	Prec@1 83.500 (53.156)	Prec@5 98.500 (84.056)
Test: [160/183]	Time 0.191 (0.204)	Loss 1.6860 (1.7290)	Prec@1 54.000 (53.295)	Prec@5 82.000 (84.118)
Test: [170/183]	Time 0.193 (0.204)	Loss 2.5461 (1.7498)	Prec@1 24.000 (52.810)	Prec@5 76.000 (83.740)
Test: [180/183]	Time 0.180 (0.203)	Loss 2.1684 (1.7569)	Prec@1 42.000 (52.812)	Prec@5 79.000 (83.572)
 * Prec@1 52.795 Prec@5 83.559
Epoch: [50][0/9018]	Time 2.865 (2.865)	Data 2.239 (2.239)	Loss 2.2311 (2.2311)	Prec@1 42.500 (42.500)	Prec@5 76.000 (76.000)
Epoch: [50][10/9018]	Time 0.599 (0.852)	Data 0.001 (0.204)	Loss 1.9156 (2.0126)	Prec@1 53.000 (48.955)	Prec@5 78.500 (77.818)
Epoch: [50][20/9018]	Time 0.618 (0.737)	Data 0.001 (0.107)	Loss 2.0072 (1.9613)	Prec@1 51.500 (49.929)	Prec@5 78.500 (78.929)
Epoch: [50][30/9018]	Time 0.592 (0.695)	Data 0.001 (0.073)	Loss 1.9921 (2.0066)	Prec@1 51.000 (48.935)	Prec@5 77.000 (78.258)
Epoch: [50][40/9018]	Time 0.644 (0.681)	Data 0.003 (0.056)	Loss 2.1146 (2.0183)	Prec@1 49.000 (48.561)	Prec@5 74.000 (78.061)
Epoch: [50][50/9018]	Time 0.623 (0.668)	Data 0.001 (0.046)	Loss 2.0696 (2.0103)	Prec@1 43.500 (48.627)	Prec@5 81.500 (78.265)
Epoch: [50][60/9018]	Time 0.616 (0.662)	Data 0.001 (0.039)	Loss 2.0959 (2.0255)	Prec@1 46.000 (48.270)	Prec@5 76.500 (77.992)
Epoch: [50][70/9018]	Time 0.615 (0.658)	Data 0.001 (0.034)	Loss 1.8791 (2.0199)	Prec@1 50.500 (48.465)	Prec@5 79.000 (78.148)
Epoch: [50][80/9018]	Time 0.601 (0.652)	Data 0.001 (0.031)	Loss 2.0516 (2.0192)	Prec@1 41.000 (48.167)	Prec@5 79.000 (78.241)
Epoch: [50][90/9018]	Time 0.613 (0.650)	Data 0.001 (0.027)	Loss 2.0934 (2.0237)	Prec@1 48.000 (48.011)	Prec@5 77.000 (78.137)
Epoch: [50][100/9018]	Time 0.601 (0.646)	Data 0.001 (0.025)	Loss 1.7646 (2.0166)	Prec@1 55.000 (48.218)	Prec@5 84.500 (78.287)
Epoch: [50][110/9018]	Time 0.642 (0.644)	Data 0.006 (0.023)	Loss 2.0832 (2.0196)	Prec@1 47.000 (48.090)	Prec@5 80.500 (78.333)
Epoch: [50][120/9018]	Time 0.601 (0.642)	Data 0.001 (0.021)	Loss 2.0288 (2.0146)	Prec@1 49.000 (48.165)	Prec@5 77.500 (78.426)
Epoch: [50][130/9018]	Time 0.599 (0.640)	Data 0.001 (0.020)	Loss 1.8676 (2.0136)	Prec@1 52.000 (48.172)	Prec@5 83.000 (78.408)
Epoch: [50][140/9018]	Time 0.631 (0.639)	Data 0.001 (0.019)	Loss 1.7293 (2.0070)	Prec@1 56.000 (48.330)	Prec@5 80.500 (78.539)
Epoch: [50][150/9018]	Time 0.621 (0.637)	Data 0.001 (0.018)	Loss 1.9666 (2.0029)	Prec@1 48.000 (48.424)	Prec@5 77.000 (78.613)
Epoch: [50][160/9018]	Time 0.627 (0.637)	Data 0.001 (0.017)	Loss 1.8522 (2.0022)	Prec@1 48.000 (48.342)	Prec@5 82.000 (78.599)
Epoch: [50][170/9018]	Time 0.595 (0.636)	Data 0.001 (0.016)	Loss 2.2667 (2.0001)	Prec@1 44.000 (48.342)	Prec@5 75.000 (78.664)
Epoch: [50][180/9018]	Time 0.630 (0.635)	Data 0.008 (0.015)	Loss 2.0450 (2.0045)	Prec@1 50.000 (48.293)	Prec@5 78.000 (78.536)
Epoch: [50][190/9018]	Time 0.624 (0.635)	Data 0.001 (0.014)	Loss 1.9685 (2.0033)	Prec@1 52.000 (48.372)	Prec@5 75.500 (78.565)
Epoch: [50][200/9018]	Time 0.723 (0.635)	Data 0.009 (0.014)	Loss 1.9880 (2.0001)	Prec@1 50.000 (48.413)	Prec@5 79.500 (78.664)
Epoch: [50][210/9018]	Time 0.625 (0.634)	Data 0.001 (0.013)	Loss 1.6921 (1.9954)	Prec@1 57.000 (48.533)	Prec@5 84.000 (78.758)
Epoch: [50][220/9018]	Time 0.617 (0.634)	Data 0.001 (0.013)	Loss 1.7786 (1.9942)	Prec@1 51.500 (48.572)	Prec@5 81.000 (78.776)
Epoch: [50][230/9018]	Time 0.604 (0.633)	Data 0.001 (0.012)	Loss 1.9723 (1.9898)	Prec@1 48.500 (48.639)	Prec@5 81.000 (78.855)
Epoch: [50][240/9018]	Time 0.618 (0.633)	Data 0.012 (0.012)	Loss 2.1057 (1.9875)	Prec@1 41.500 (48.664)	Prec@5 78.000 (78.888)
Epoch: [50][250/9018]	Time 0.720 (0.632)	Data 0.001 (0.012)	Loss 1.7390 (1.9865)	Prec@1 56.000 (48.645)	Prec@5 80.500 (78.878)
Epoch: [50][260/9018]	Time 0.599 (0.632)	Data 0.001 (0.011)	Loss 2.0053 (1.9883)	Prec@1 54.500 (48.594)	Prec@5 78.500 (78.814)
Epoch: [50][270/9018]	Time 0.596 (0.632)	Data 0.001 (0.011)	Loss 1.8929 (1.9907)	Prec@1 49.000 (48.496)	Prec@5 78.500 (78.755)
Epoch: [50][280/9018]	Time 0.593 (0.631)	Data 0.001 (0.011)	Loss 1.9241 (1.9886)	Prec@1 53.000 (48.566)	Prec@5 80.000 (78.760)
Epoch: [50][290/9018]	Time 0.606 (0.631)	Data 0.001 (0.011)	Loss 2.0888 (1.9873)	Prec@1 42.000 (48.593)	Prec@5 78.000 (78.775)
Epoch: [50][300/9018]	Time 0.638 (0.631)	Data 0.001 (0.010)	Loss 2.0860 (1.9868)	Prec@1 47.000 (48.556)	Prec@5 76.500 (78.794)
Epoch: [50][310/9018]	Time 0.611 (0.630)	Data 0.001 (0.010)	Loss 1.9280 (1.9856)	Prec@1 50.500 (48.609)	Prec@5 80.500 (78.810)
Epoch: [50][320/9018]	Time 0.615 (0.630)	Data 0.001 (0.010)	Loss 1.9341 (1.9867)	Prec@1 47.500 (48.592)	Prec@5 78.500 (78.769)
Epoch: [50][330/9018]	Time 0.618 (0.630)	Data 0.016 (0.010)	Loss 2.1047 (1.9869)	Prec@1 45.500 (48.600)	Prec@5 75.500 (78.757)
Epoch: [50][340/9018]	Time 0.604 (0.630)	Data 0.001 (0.009)	Loss 1.8928 (1.9888)	Prec@1 48.000 (48.521)	Prec@5 78.000 (78.710)
Epoch: [50][350/9018]	Time 0.600 (0.629)	Data 0.001 (0.009)	Loss 1.7404 (1.9883)	Prec@1 49.000 (48.460)	Prec@5 82.500 (78.741)
Epoch: [50][360/9018]	Time 0.612 (0.629)	Data 0.001 (0.009)	Loss 1.8945 (1.9883)	Prec@1 52.500 (48.464)	Prec@5 79.500 (78.727)
Epoch: [50][370/9018]	Time 0.591 (0.629)	Data 0.001 (0.009)	Loss 1.9300 (1.9887)	Prec@1 48.000 (48.461)	Prec@5 80.000 (78.741)
Epoch: [50][380/9018]	Time 0.589 (0.629)	Data 0.001 (0.009)	Loss 1.7999 (1.9887)	Prec@1 52.500 (48.459)	Prec@5 81.000 (78.743)
Epoch: [50][390/9018]	Time 0.612 (0.629)	Data 0.009 (0.008)	Loss 1.8604 (1.9879)	Prec@1 47.500 (48.473)	Prec@5 83.000 (78.772)
Epoch: [50][400/9018]	Time 0.598 (0.629)	Data 0.001 (0.008)	Loss 2.0034 (1.9893)	Prec@1 48.000 (48.445)	Prec@5 74.500 (78.723)
Epoch: [50][410/9018]	Time 0.611 (0.628)	Data 0.001 (0.008)	Loss 2.1264 (1.9893)	Prec@1 46.500 (48.448)	Prec@5 77.500 (78.752)
Epoch: [50][420/9018]	Time 0.602 (0.628)	Data 0.001 (0.008)	Loss 2.1527 (1.9883)	Prec@1 42.500 (48.452)	Prec@5 75.000 (78.773)
Epoch: [50][430/9018]	Time 0.615 (0.628)	Data 0.001 (0.008)	Loss 1.9283 (1.9881)	Prec@1 49.500 (48.462)	Prec@5 81.000 (78.762)
Epoch: [50][440/9018]	Time 0.603 (0.628)	Data 0.001 (0.008)	Loss 1.8379 (1.9865)	Prec@1 51.500 (48.482)	Prec@5 80.000 (78.812)
Epoch: [50][450/9018]	Time 0.604 (0.628)	Data 0.001 (0.008)	Loss 1.7705 (1.9862)	Prec@1 54.500 (48.481)	Prec@5 83.000 (78.806)
Epoch: [50][460/9018]	Time 0.620 (0.628)	Data 0.013 (0.008)	Loss 2.0898 (1.9877)	Prec@1 48.000 (48.441)	Prec@5 72.500 (78.769)
Epoch: [50][470/9018]	Time 0.602 (0.628)	Data 0.001 (0.007)	Loss 1.9250 (1.9877)	Prec@1 50.500 (48.444)	Prec@5 83.500 (78.793)
Epoch: [50][480/9018]	Time 0.603 (0.628)	Data 0.001 (0.007)	Loss 1.9478 (1.9874)	Prec@1 50.500 (48.429)	Prec@5 77.500 (78.784)
Epoch: [50][490/9018]	Time 0.598 (0.628)	Data 0.001 (0.007)	Loss 2.0143 (1.9873)	Prec@1 47.500 (48.449)	Prec@5 76.000 (78.790)
Epoch: [50][500/9018]	Time 0.601 (0.627)	Data 0.001 (0.007)	Loss 2.0007 (1.9886)	Prec@1 46.000 (48.436)	Prec@5 80.500 (78.774)
Epoch: [50][510/9018]	Time 0.604 (0.627)	Data 0.001 (0.007)	Loss 2.0408 (1.9888)	Prec@1 47.500 (48.420)	Prec@5 78.500 (78.766)
Epoch: [50][520/9018]	Time 0.624 (0.627)	Data 0.001 (0.007)	Loss 1.9065 (1.9875)	Prec@1 51.000 (48.439)	Prec@5 80.000 (78.778)
Epoch: [50][530/9018]	Time 0.757 (0.627)	Data 0.001 (0.007)	Loss 1.8889 (1.9884)	Prec@1 52.000 (48.427)	Prec@5 80.500 (78.770)
Epoch: [50][540/9018]	Time 0.617 (0.627)	Data 0.001 (0.007)	Loss 2.0389 (1.9894)	Prec@1 42.500 (48.386)	Prec@5 77.500 (78.755)
Epoch: [50][550/9018]	Time 0.602 (0.627)	Data 0.001 (0.007)	Loss 1.9717 (1.9898)	Prec@1 47.000 (48.378)	Prec@5 80.000 (78.743)
Epoch: [50][560/9018]	Time 0.609 (0.627)	Data 0.001 (0.007)	Loss 1.9421 (1.9895)	Prec@1 50.500 (48.402)	Prec@5 80.500 (78.740)
Epoch: [50][570/9018]	Time 0.622 (0.627)	Data 0.001 (0.007)	Loss 2.0415 (1.9896)	Prec@1 50.500 (48.407)	Prec@5 75.500 (78.722)
Epoch: [50][580/9018]	Time 0.731 (0.627)	Data 0.001 (0.007)	Loss 2.1002 (1.9884)	Prec@1 49.000 (48.448)	Prec@5 77.500 (78.751)
Epoch: [50][590/9018]	Time 0.616 (0.627)	Data 0.010 (0.007)	Loss 2.0131 (1.9890)	Prec@1 47.000 (48.448)	Prec@5 80.000 (78.755)
Epoch: [50][600/9018]	Time 0.637 (0.627)	Data 0.001 (0.007)	Loss 2.1497 (1.9892)	Prec@1 43.500 (48.449)	Prec@5 76.000 (78.735)
Epoch: [50][610/9018]	Time 0.601 (0.627)	Data 0.001 (0.006)	Loss 2.1134 (1.9899)	Prec@1 48.000 (48.422)	Prec@5 77.500 (78.714)
Epoch: [50][620/9018]	Time 0.603 (0.626)	Data 0.001 (0.006)	Loss 1.7359 (1.9898)	Prec@1 50.500 (48.405)	Prec@5 82.500 (78.697)
Epoch: [50][630/9018]	Time 0.641 (0.626)	Data 0.001 (0.006)	Loss 2.0505 (1.9899)	Prec@1 48.000 (48.370)	Prec@5 80.500 (78.708)
Epoch: [50][640/9018]	Time 0.635 (0.626)	Data 0.001 (0.006)	Loss 1.9679 (1.9900)	Prec@1 46.500 (48.385)	Prec@5 80.000 (78.717)
Epoch: [50][650/9018]	Time 0.629 (0.626)	Data 0.001 (0.006)	Loss 2.0803 (1.9910)	Prec@1 46.500 (48.354)	Prec@5 76.500 (78.691)
Epoch: [50][660/9018]	Time 0.618 (0.626)	Data 0.001 (0.006)	Loss 1.7281 (1.9909)	Prec@1 55.500 (48.367)	Prec@5 83.000 (78.691)
Epoch: [50][670/9018]	Time 0.599 (0.626)	Data 0.001 (0.006)	Loss 1.9005 (1.9909)	Prec@1 47.500 (48.361)	Prec@5 79.000 (78.692)
Epoch: [50][680/9018]	Time 0.594 (0.626)	Data 0.001 (0.006)	Loss 2.1616 (1.9914)	Prec@1 46.000 (48.346)	Prec@5 76.000 (78.689)
Epoch: [50][690/9018]	Time 0.606 (0.626)	Data 0.001 (0.006)	Loss 1.7610 (1.9917)	Prec@1 52.000 (48.318)	Prec@5 81.500 (78.682)
Epoch: [50][700/9018]	Time 0.606 (0.626)	Data 0.001 (0.006)	Loss 1.8541 (1.9922)	Prec@1 52.000 (48.310)	Prec@5 82.500 (78.681)
Epoch: [50][710/9018]	Time 0.623 (0.626)	Data 0.001 (0.006)	Loss 2.2814 (1.9916)	Prec@1 42.000 (48.316)	Prec@5 74.000 (78.698)
Epoch: [50][720/9018]	Time 0.614 (0.626)	Data 0.001 (0.006)	Loss 1.7729 (1.9925)	Prec@1 55.500 (48.308)	Prec@5 82.500 (78.685)
Epoch: [50][730/9018]	Time 0.614 (0.626)	Data 0.001 (0.006)	Loss 1.9354 (1.9928)	Prec@1 49.500 (48.293)	Prec@5 78.500 (78.665)
Epoch: [50][740/9018]	Time 0.602 (0.626)	Data 0.001 (0.006)	Loss 2.1230 (1.9937)	Prec@1 46.500 (48.267)	Prec@5 75.500 (78.656)
Epoch: [50][750/9018]	Time 0.607 (0.626)	Data 0.001 (0.006)	Loss 2.0226 (1.9944)	Prec@1 47.000 (48.256)	Prec@5 79.000 (78.642)
Epoch: [50][760/9018]	Time 0.625 (0.626)	Data 0.001 (0.006)	Loss 2.2422 (1.9959)	Prec@1 43.000 (48.216)	Prec@5 72.000 (78.612)
Epoch: [50][770/9018]	Time 0.624 (0.626)	Data 0.001 (0.006)	Loss 2.1499 (1.9964)	Prec@1 40.500 (48.194)	Prec@5 76.000 (78.604)
Epoch: [50][780/9018]	Time 0.613 (0.626)	Data 0.001 (0.006)	Loss 2.1093 (1.9968)	Prec@1 48.500 (48.179)	Prec@5 75.000 (78.606)
Epoch: [50][790/9018]	Time 0.611 (0.625)	Data 0.001 (0.006)	Loss 1.7864 (1.9968)	Prec@1 56.000 (48.173)	Prec@5 82.000 (78.609)
Epoch: [50][800/9018]	Time 0.595 (0.625)	Data 0.001 (0.006)	Loss 1.8635 (1.9963)	Prec@1 51.000 (48.195)	Prec@5 83.000 (78.616)
Epoch: [50][810/9018]	Time 0.617 (0.625)	Data 0.014 (0.006)	Loss 1.8566 (1.9957)	Prec@1 50.000 (48.214)	Prec@5 82.000 (78.630)
Epoch: [50][820/9018]	Time 0.596 (0.625)	Data 0.001 (0.006)	Loss 1.7997 (1.9957)	Prec@1 51.500 (48.206)	Prec@5 81.000 (78.638)
Epoch: [50][830/9018]	Time 0.592 (0.625)	Data 0.001 (0.005)	Loss 2.4387 (1.9961)	Prec@1 41.000 (48.200)	Prec@5 69.500 (78.642)
Epoch: [50][840/9018]	Time 0.603 (0.625)	Data 0.001 (0.005)	Loss 1.8577 (1.9947)	Prec@1 50.000 (48.236)	Prec@5 78.500 (78.655)
Epoch: [50][850/9018]	Time 0.609 (0.625)	Data 0.001 (0.005)	Loss 2.0124 (1.9947)	Prec@1 46.500 (48.241)	Prec@5 78.500 (78.635)
Epoch: [50][860/9018]	Time 0.717 (0.625)	Data 0.001 (0.005)	Loss 1.9066 (1.9941)	Prec@1 50.500 (48.246)	Prec@5 78.000 (78.641)
Epoch: [50][870/9018]	Time 0.612 (0.625)	Data 0.001 (0.005)	Loss 1.9718 (1.9947)	Prec@1 53.000 (48.246)	Prec@5 80.500 (78.627)
Epoch: [50][880/9018]	Time 0.618 (0.625)	Data 0.001 (0.005)	Loss 1.9476 (1.9950)	Prec@1 47.500 (48.237)	Prec@5 79.500 (78.627)
Epoch: [50][890/9018]	Time 0.627 (0.625)	Data 0.001 (0.005)	Loss 1.9834 (1.9950)	Prec@1 47.000 (48.248)	Prec@5 78.000 (78.631)
Epoch: [50][900/9018]	Time 0.631 (0.625)	Data 0.015 (0.005)	Loss 1.8920 (1.9952)	Prec@1 55.000 (48.244)	Prec@5 79.500 (78.627)
Epoch: [50][910/9018]	Time 0.785 (0.625)	Data 0.011 (0.005)	Loss 1.9910 (1.9949)	Prec@1 46.500 (48.248)	Prec@5 78.500 (78.639)
Epoch: [50][920/9018]	Time 0.615 (0.625)	Data 0.015 (0.005)	Loss 1.9100 (1.9946)	Prec@1 51.000 (48.258)	Prec@5 81.000 (78.645)
Epoch: [50][930/9018]	Time 0.604 (0.625)	Data 0.001 (0.005)	Loss 2.1318 (1.9948)	Prec@1 41.000 (48.244)	Prec@5 75.500 (78.647)
Epoch: [50][940/9018]	Time 0.618 (0.625)	Data 0.001 (0.005)	Loss 1.8784 (1.9946)	Prec@1 46.500 (48.238)	Prec@5 81.500 (78.651)
Epoch: [50][950/9018]	Time 0.607 (0.625)	Data 0.001 (0.005)	Loss 2.0740 (1.9953)	Prec@1 42.500 (48.225)	Prec@5 79.000 (78.643)
Epoch: [50][960/9018]	Time 0.605 (0.625)	Data 0.001 (0.005)	Loss 1.9488 (1.9961)	Prec@1 50.000 (48.205)	Prec@5 75.500 (78.623)
Epoch: [50][970/9018]	Time 0.606 (0.625)	Data 0.001 (0.005)	Loss 2.0908 (1.9964)	Prec@1 46.000 (48.209)	Prec@5 75.500 (78.619)
Epoch: [50][980/9018]	Time 0.618 (0.625)	Data 0.001 (0.005)	Loss 2.2051 (1.9963)	Prec@1 48.500 (48.230)	Prec@5 72.500 (78.619)
Epoch: [50][990/9018]	Time 0.617 (0.625)	Data 0.003 (0.005)	Loss 1.9168 (1.9964)	Prec@1 49.000 (48.221)	Prec@5 78.500 (78.622)
Epoch: [50][1000/9018]	Time 0.598 (0.625)	Data 0.001 (0.005)	Loss 2.2555 (1.9964)	Prec@1 46.500 (48.228)	Prec@5 75.500 (78.625)
Epoch: [50][1010/9018]	Time 0.602 (0.625)	Data 0.004 (0.005)	Loss 1.9687 (1.9958)	Prec@1 49.000 (48.229)	Prec@5 78.500 (78.636)
Epoch: [50][1020/9018]	Time 0.603 (0.625)	Data 0.001 (0.005)	Loss 1.9507 (1.9957)	Prec@1 47.000 (48.227)	Prec@5 81.000 (78.633)
Epoch: [50][1030/9018]	Time 0.616 (0.625)	Data 0.001 (0.005)	Loss 1.8939 (1.9955)	Prec@1 48.000 (48.228)	Prec@5 78.000 (78.641)
Epoch: [50][1040/9018]	Time 0.624 (0.624)	Data 0.009 (0.005)	Loss 1.8134 (1.9953)	Prec@1 48.000 (48.227)	Prec@5 83.000 (78.645)
Epoch: [50][1050/9018]	Time 0.593 (0.624)	Data 0.001 (0.005)	Loss 2.3008 (1.9960)	Prec@1 39.500 (48.215)	Prec@5 75.000 (78.638)
Epoch: [50][1060/9018]	Time 0.635 (0.625)	Data 0.003 (0.005)	Loss 2.0348 (1.9961)	Prec@1 47.500 (48.200)	Prec@5 75.000 (78.634)
Epoch: [50][1070/9018]	Time 0.617 (0.624)	Data 0.008 (0.005)	Loss 1.9633 (1.9962)	Prec@1 54.000 (48.199)	Prec@5 78.500 (78.636)
Epoch: [50][1080/9018]	Time 0.615 (0.624)	Data 0.001 (0.005)	Loss 1.7457 (1.9962)	Prec@1 55.000 (48.194)	Prec@5 84.000 (78.645)
Epoch: [50][1090/9018]	Time 0.627 (0.624)	Data 0.001 (0.005)	Loss 1.9814 (1.9958)	Prec@1 50.500 (48.196)	Prec@5 78.000 (78.648)
Epoch: [50][1100/9018]	Time 0.598 (0.624)	Data 0.001 (0.005)	Loss 2.2785 (1.9966)	Prec@1 43.500 (48.171)	Prec@5 72.500 (78.635)
Epoch: [50][1110/9018]	Time 0.611 (0.624)	Data 0.001 (0.005)	Loss 1.9473 (1.9970)	Prec@1 53.000 (48.160)	Prec@5 79.000 (78.631)
Epoch: [50][1120/9018]	Time 0.607 (0.624)	Data 0.001 (0.005)	Loss 1.7880 (1.9971)	Prec@1 50.000 (48.160)	Prec@5 84.500 (78.631)
Epoch: [50][1130/9018]	Time 0.617 (0.624)	Data 0.001 (0.005)	Loss 1.8146 (1.9970)	Prec@1 54.500 (48.160)	Prec@5 80.500 (78.637)
Epoch: [50][1140/9018]	Time 0.630 (0.624)	Data 0.001 (0.005)	Loss 1.9205 (1.9975)	Prec@1 50.000 (48.142)	Prec@5 82.000 (78.630)
Epoch: [50][1150/9018]	Time 0.607 (0.624)	Data 0.001 (0.005)	Loss 1.7951 (1.9975)	Prec@1 51.500 (48.140)	Prec@5 83.000 (78.637)
Epoch: [50][1160/9018]	Time 0.605 (0.624)	Data 0.001 (0.005)	Loss 2.0378 (1.9984)	Prec@1 48.500 (48.118)	Prec@5 78.000 (78.628)
Epoch: [50][1170/9018]	Time 0.621 (0.624)	Data 0.005 (0.005)	Loss 2.0295 (1.9987)	Prec@1 50.000 (48.115)	Prec@5 78.000 (78.623)
Epoch: [50][1180/9018]	Time 0.622 (0.624)	Data 0.001 (0.005)	Loss 2.0946 (1.9989)	Prec@1 47.000 (48.115)	Prec@5 76.500 (78.621)
Epoch: [50][1190/9018]	Time 0.786 (0.624)	Data 0.001 (0.005)	Loss 2.0136 (1.9992)	Prec@1 46.500 (48.114)	Prec@5 77.000 (78.598)
Epoch: [50][1200/9018]	Time 0.621 (0.624)	Data 0.001 (0.005)	Loss 1.9022 (1.9987)	Prec@1 53.500 (48.127)	Prec@5 79.500 (78.611)
Epoch: [50][1210/9018]	Time 0.602 (0.624)	Data 0.017 (0.005)	Loss 2.1792 (1.9992)	Prec@1 43.000 (48.115)	Prec@5 77.500 (78.602)
Epoch: [50][1220/9018]	Time 0.589 (0.624)	Data 0.001 (0.005)	Loss 2.0730 (1.9991)	Prec@1 46.000 (48.111)	Prec@5 79.500 (78.605)
Epoch: [50][1230/9018]	Time 0.609 (0.624)	Data 0.004 (0.005)	Loss 1.9670 (1.9995)	Prec@1 50.500 (48.109)	Prec@5 78.000 (78.605)
Epoch: [50][1240/9018]	Time 0.724 (0.624)	Data 0.001 (0.005)	Loss 2.0671 (1.9994)	Prec@1 43.000 (48.103)	Prec@5 74.000 (78.603)
Epoch: [50][1250/9018]	Time 0.614 (0.624)	Data 0.015 (0.005)	Loss 2.0027 (1.9994)	Prec@1 50.500 (48.104)	Prec@5 77.500 (78.597)
Epoch: [50][1260/9018]	Time 0.619 (0.624)	Data 0.001 (0.005)	Loss 1.9895 (1.9996)	Prec@1 42.000 (48.101)	Prec@5 79.000 (78.591)
Epoch: [50][1270/9018]	Time 0.614 (0.624)	Data 0.001 (0.005)	Loss 2.0114 (1.9993)	Prec@1 46.000 (48.104)	Prec@5 78.500 (78.589)
Epoch: [50][1280/9018]	Time 0.637 (0.624)	Data 0.006 (0.004)	Loss 2.2890 (1.9996)	Prec@1 42.000 (48.091)	Prec@5 76.500 (78.587)
Epoch: [50][1290/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 2.1397 (1.9999)	Prec@1 52.500 (48.091)	Prec@5 77.500 (78.582)
Epoch: [50][1300/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 2.1007 (1.9997)	Prec@1 48.500 (48.098)	Prec@5 78.000 (78.585)
Epoch: [50][1310/9018]	Time 0.629 (0.624)	Data 0.001 (0.004)	Loss 2.1820 (1.9998)	Prec@1 42.000 (48.104)	Prec@5 73.500 (78.577)
Epoch: [50][1320/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 2.0685 (1.9997)	Prec@1 51.500 (48.124)	Prec@5 79.500 (78.574)
Epoch: [50][1330/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.6726 (1.9999)	Prec@1 53.500 (48.124)	Prec@5 84.000 (78.571)
Epoch: [50][1340/9018]	Time 0.623 (0.624)	Data 0.001 (0.004)	Loss 2.0625 (1.9996)	Prec@1 41.000 (48.132)	Prec@5 81.500 (78.582)
Epoch: [50][1350/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 2.0280 (1.9999)	Prec@1 49.500 (48.136)	Prec@5 76.000 (78.573)
Epoch: [50][1360/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.9824 (1.9998)	Prec@1 51.000 (48.148)	Prec@5 79.500 (78.567)
Epoch: [50][1370/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 2.0956 (2.0003)	Prec@1 43.500 (48.134)	Prec@5 79.000 (78.566)
Epoch: [50][1380/9018]	Time 0.629 (0.624)	Data 0.016 (0.004)	Loss 2.0450 (2.0005)	Prec@1 49.000 (48.138)	Prec@5 76.500 (78.555)
Epoch: [50][1390/9018]	Time 0.632 (0.624)	Data 0.001 (0.004)	Loss 1.7203 (2.0004)	Prec@1 51.500 (48.149)	Prec@5 81.000 (78.546)
Epoch: [50][1400/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.9761 (2.0003)	Prec@1 44.500 (48.157)	Prec@5 82.000 (78.542)
Epoch: [50][1410/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 2.1260 (2.0002)	Prec@1 45.000 (48.165)	Prec@5 75.500 (78.541)
Epoch: [50][1420/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 2.0809 (1.9999)	Prec@1 46.500 (48.170)	Prec@5 78.000 (78.548)
Epoch: [50][1430/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.8813 (2.0001)	Prec@1 49.500 (48.170)	Prec@5 82.500 (78.549)
Epoch: [50][1440/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 2.0671 (2.0000)	Prec@1 44.500 (48.172)	Prec@5 78.000 (78.553)
Epoch: [50][1450/9018]	Time 0.626 (0.624)	Data 0.001 (0.004)	Loss 1.7755 (2.0006)	Prec@1 54.000 (48.159)	Prec@5 81.000 (78.535)
Epoch: [50][1460/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.9903 (2.0014)	Prec@1 52.000 (48.142)	Prec@5 78.000 (78.521)
Epoch: [50][1470/9018]	Time 0.602 (0.624)	Data 0.017 (0.004)	Loss 1.8011 (2.0018)	Prec@1 47.500 (48.141)	Prec@5 86.000 (78.512)
Epoch: [50][1480/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.9062 (2.0015)	Prec@1 52.000 (48.150)	Prec@5 79.000 (78.516)
Epoch: [50][1490/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.8324 (2.0014)	Prec@1 53.500 (48.156)	Prec@5 79.000 (78.516)
Epoch: [50][1500/9018]	Time 0.640 (0.624)	Data 0.001 (0.004)	Loss 2.0507 (2.0016)	Prec@1 41.500 (48.147)	Prec@5 81.500 (78.515)
Epoch: [50][1510/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.8740 (2.0016)	Prec@1 52.500 (48.154)	Prec@5 80.500 (78.514)
Epoch: [50][1520/9018]	Time 0.796 (0.624)	Data 0.001 (0.004)	Loss 1.8854 (2.0015)	Prec@1 50.000 (48.160)	Prec@5 80.000 (78.515)
Epoch: [50][1530/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.9057 (2.0013)	Prec@1 51.500 (48.160)	Prec@5 79.000 (78.517)
Epoch: [50][1540/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 2.0234 (2.0013)	Prec@1 45.500 (48.144)	Prec@5 77.000 (78.520)
Epoch: [50][1550/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.9540 (2.0018)	Prec@1 46.000 (48.121)	Prec@5 80.500 (78.512)
Epoch: [50][1560/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.9276 (2.0016)	Prec@1 52.500 (48.129)	Prec@5 75.000 (78.512)
Epoch: [50][1570/9018]	Time 0.736 (0.624)	Data 0.001 (0.004)	Loss 2.0522 (2.0015)	Prec@1 50.500 (48.137)	Prec@5 77.500 (78.517)
Epoch: [50][1580/9018]	Time 0.623 (0.624)	Data 0.001 (0.004)	Loss 1.6889 (2.0013)	Prec@1 57.000 (48.146)	Prec@5 82.000 (78.518)
Epoch: [50][1590/9018]	Time 0.610 (0.624)	Data 0.007 (0.004)	Loss 2.0172 (2.0011)	Prec@1 48.500 (48.152)	Prec@5 77.500 (78.523)
Epoch: [50][1600/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 2.1199 (2.0016)	Prec@1 48.000 (48.143)	Prec@5 75.500 (78.514)
Epoch: [50][1610/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 2.2013 (2.0016)	Prec@1 45.500 (48.143)	Prec@5 75.500 (78.522)
Epoch: [50][1620/9018]	Time 0.632 (0.624)	Data 0.001 (0.004)	Loss 2.2350 (2.0016)	Prec@1 42.000 (48.147)	Prec@5 78.000 (78.521)
Epoch: [50][1630/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 2.1172 (2.0015)	Prec@1 45.500 (48.151)	Prec@5 76.000 (78.524)
Epoch: [50][1640/9018]	Time 0.636 (0.624)	Data 0.001 (0.004)	Loss 2.1724 (2.0017)	Prec@1 44.500 (48.146)	Prec@5 73.500 (78.515)
Epoch: [50][1650/9018]	Time 0.628 (0.624)	Data 0.016 (0.004)	Loss 2.1501 (2.0018)	Prec@1 44.000 (48.151)	Prec@5 79.000 (78.518)
Epoch: [50][1660/9018]	Time 0.600 (0.624)	Data 0.010 (0.004)	Loss 1.8919 (2.0020)	Prec@1 55.000 (48.154)	Prec@5 83.000 (78.515)
Epoch: [50][1670/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 2.0397 (2.0018)	Prec@1 48.000 (48.155)	Prec@5 75.500 (78.515)
Epoch: [50][1680/9018]	Time 0.591 (0.624)	Data 0.001 (0.004)	Loss 2.0567 (2.0015)	Prec@1 49.000 (48.166)	Prec@5 80.000 (78.530)
Epoch: [50][1690/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 1.8606 (2.0013)	Prec@1 53.500 (48.173)	Prec@5 80.500 (78.531)
Epoch: [50][1700/9018]	Time 0.631 (0.624)	Data 0.001 (0.004)	Loss 1.9747 (2.0013)	Prec@1 47.500 (48.170)	Prec@5 83.000 (78.531)
Epoch: [50][1710/9018]	Time 0.617 (0.624)	Data 0.006 (0.004)	Loss 2.1485 (2.0018)	Prec@1 42.000 (48.160)	Prec@5 78.000 (78.528)
Epoch: [50][1720/9018]	Time 0.625 (0.624)	Data 0.001 (0.004)	Loss 1.9070 (2.0018)	Prec@1 53.500 (48.162)	Prec@5 79.500 (78.526)
Epoch: [50][1730/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 2.1369 (2.0020)	Prec@1 49.000 (48.159)	Prec@5 79.500 (78.528)
Epoch: [50][1740/9018]	Time 0.612 (0.624)	Data 0.002 (0.004)	Loss 1.9046 (2.0018)	Prec@1 50.500 (48.164)	Prec@5 81.500 (78.526)
Epoch: [50][1750/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 2.0072 (2.0018)	Prec@1 48.000 (48.168)	Prec@5 77.500 (78.525)
Epoch: [50][1760/9018]	Time 0.636 (0.624)	Data 0.001 (0.004)	Loss 1.9358 (2.0021)	Prec@1 50.500 (48.158)	Prec@5 80.500 (78.523)
Epoch: [50][1770/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.8787 (2.0024)	Prec@1 53.000 (48.156)	Prec@5 80.500 (78.516)
Epoch: [50][1780/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 2.1660 (2.0028)	Prec@1 43.000 (48.152)	Prec@5 75.500 (78.510)
Epoch: [50][1790/9018]	Time 0.627 (0.624)	Data 0.001 (0.004)	Loss 1.9857 (2.0032)	Prec@1 46.000 (48.145)	Prec@5 81.500 (78.504)
Epoch: [50][1800/9018]	Time 0.630 (0.624)	Data 0.001 (0.004)	Loss 2.0817 (2.0031)	Prec@1 46.000 (48.140)	Prec@5 78.000 (78.506)
Epoch: [50][1810/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 2.0400 (2.0034)	Prec@1 51.500 (48.135)	Prec@5 78.500 (78.508)
Epoch: [50][1820/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 2.2888 (2.0038)	Prec@1 37.500 (48.124)	Prec@5 75.000 (78.501)
Epoch: [50][1830/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 2.1279 (2.0038)	Prec@1 47.500 (48.131)	Prec@5 74.000 (78.504)
Epoch: [50][1840/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.9755 (2.0042)	Prec@1 52.500 (48.125)	Prec@5 78.500 (78.493)
Epoch: [50][1850/9018]	Time 0.731 (0.624)	Data 0.001 (0.004)	Loss 1.8743 (2.0045)	Prec@1 54.500 (48.119)	Prec@5 80.500 (78.490)
Epoch: [50][1860/9018]	Time 0.615 (0.624)	Data 0.009 (0.004)	Loss 2.2951 (2.0045)	Prec@1 43.000 (48.121)	Prec@5 70.500 (78.489)
Epoch: [50][1870/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.9151 (2.0047)	Prec@1 49.500 (48.114)	Prec@5 80.000 (78.485)
Epoch: [50][1880/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 2.2187 (2.0047)	Prec@1 43.000 (48.112)	Prec@5 74.500 (78.487)
Epoch: [50][1890/9018]	Time 0.631 (0.624)	Data 0.001 (0.004)	Loss 1.9561 (2.0050)	Prec@1 50.000 (48.107)	Prec@5 78.500 (78.478)
Epoch: [50][1900/9018]	Time 0.731 (0.624)	Data 0.001 (0.004)	Loss 1.9165 (2.0050)	Prec@1 49.000 (48.105)	Prec@5 82.000 (78.479)
Epoch: [50][1910/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 2.2119 (2.0052)	Prec@1 47.000 (48.103)	Prec@5 74.000 (78.470)
Epoch: [50][1920/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.8241 (2.0049)	Prec@1 53.000 (48.118)	Prec@5 80.000 (78.470)
Epoch: [50][1930/9018]	Time 0.588 (0.623)	Data 0.001 (0.004)	Loss 1.8775 (2.0047)	Prec@1 51.000 (48.122)	Prec@5 79.500 (78.471)
Epoch: [50][1940/9018]	Time 0.612 (0.623)	Data 0.001 (0.004)	Loss 2.2379 (2.0048)	Prec@1 44.000 (48.121)	Prec@5 74.500 (78.467)
Epoch: [50][1950/9018]	Time 0.640 (0.623)	Data 0.001 (0.004)	Loss 1.9401 (2.0049)	Prec@1 53.500 (48.120)	Prec@5 77.500 (78.465)
Epoch: [50][1960/9018]	Time 0.596 (0.623)	Data 0.001 (0.004)	Loss 2.2133 (2.0049)	Prec@1 46.000 (48.125)	Prec@5 76.000 (78.465)
Epoch: [50][1970/9018]	Time 0.602 (0.623)	Data 0.001 (0.004)	Loss 2.0195 (2.0052)	Prec@1 44.000 (48.113)	Prec@5 77.500 (78.457)
Epoch: [50][1980/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 1.9379 (2.0049)	Prec@1 52.500 (48.117)	Prec@5 79.000 (78.463)
Epoch: [50][1990/9018]	Time 0.607 (0.623)	Data 0.001 (0.004)	Loss 1.7951 (2.0050)	Prec@1 55.000 (48.117)	Prec@5 81.500 (78.461)
Epoch: [50][2000/9018]	Time 0.610 (0.623)	Data 0.001 (0.004)	Loss 1.9678 (2.0052)	Prec@1 47.500 (48.109)	Prec@5 77.500 (78.458)
Epoch: [50][2010/9018]	Time 0.605 (0.623)	Data 0.010 (0.004)	Loss 2.0112 (2.0054)	Prec@1 49.500 (48.103)	Prec@5 75.500 (78.454)
Epoch: [50][2020/9018]	Time 0.604 (0.623)	Data 0.001 (0.004)	Loss 2.0546 (2.0056)	Prec@1 47.000 (48.103)	Prec@5 79.000 (78.453)
Epoch: [50][2030/9018]	Time 0.614 (0.623)	Data 0.014 (0.004)	Loss 2.1399 (2.0057)	Prec@1 43.500 (48.100)	Prec@5 82.000 (78.451)
Epoch: [50][2040/9018]	Time 0.615 (0.623)	Data 0.001 (0.004)	Loss 1.9489 (2.0052)	Prec@1 50.500 (48.110)	Prec@5 79.000 (78.462)
Epoch: [50][2050/9018]	Time 0.618 (0.623)	Data 0.001 (0.004)	Loss 2.0181 (2.0052)	Prec@1 45.500 (48.107)	Prec@5 75.000 (78.463)
Epoch: [50][2060/9018]	Time 0.621 (0.623)	Data 0.001 (0.004)	Loss 2.0680 (2.0052)	Prec@1 47.000 (48.104)	Prec@5 77.500 (78.463)
Epoch: [50][2070/9018]	Time 0.618 (0.623)	Data 0.001 (0.004)	Loss 1.9016 (2.0050)	Prec@1 52.000 (48.104)	Prec@5 83.500 (78.466)
Epoch: [50][2080/9018]	Time 0.617 (0.623)	Data 0.001 (0.004)	Loss 2.0823 (2.0050)	Prec@1 48.000 (48.108)	Prec@5 73.500 (78.463)
Epoch: [50][2090/9018]	Time 0.594 (0.623)	Data 0.001 (0.004)	Loss 2.0506 (2.0051)	Prec@1 49.500 (48.107)	Prec@5 79.000 (78.459)
Epoch: [50][2100/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.9719 (2.0050)	Prec@1 42.000 (48.100)	Prec@5 81.500 (78.461)
Epoch: [50][2110/9018]	Time 0.628 (0.623)	Data 0.001 (0.004)	Loss 1.8690 (2.0049)	Prec@1 49.000 (48.096)	Prec@5 84.000 (78.465)
Epoch: [50][2120/9018]	Time 0.602 (0.623)	Data 0.001 (0.004)	Loss 1.8978 (2.0050)	Prec@1 48.500 (48.095)	Prec@5 83.000 (78.467)
Epoch: [50][2130/9018]	Time 0.630 (0.623)	Data 0.001 (0.004)	Loss 2.0805 (2.0049)	Prec@1 49.500 (48.096)	Prec@5 79.000 (78.470)
Epoch: [50][2140/9018]	Time 0.596 (0.623)	Data 0.001 (0.004)	Loss 1.9750 (2.0049)	Prec@1 46.000 (48.091)	Prec@5 80.000 (78.471)
Epoch: [50][2150/9018]	Time 0.595 (0.623)	Data 0.001 (0.004)	Loss 1.9321 (2.0050)	Prec@1 49.500 (48.088)	Prec@5 78.500 (78.470)
Epoch: [50][2160/9018]	Time 0.593 (0.623)	Data 0.001 (0.004)	Loss 2.0036 (2.0050)	Prec@1 46.000 (48.088)	Prec@5 80.000 (78.469)
Epoch: [50][2170/9018]	Time 0.634 (0.623)	Data 0.001 (0.004)	Loss 2.1299 (2.0054)	Prec@1 46.000 (48.087)	Prec@5 74.000 (78.456)
Epoch: [50][2180/9018]	Time 0.741 (0.623)	Data 0.001 (0.004)	Loss 1.9759 (2.0053)	Prec@1 48.000 (48.090)	Prec@5 79.500 (78.460)
Epoch: [50][2190/9018]	Time 0.623 (0.623)	Data 0.001 (0.004)	Loss 1.8887 (2.0051)	Prec@1 53.000 (48.096)	Prec@5 80.500 (78.468)
Epoch: [50][2200/9018]	Time 0.599 (0.623)	Data 0.001 (0.004)	Loss 1.9511 (2.0048)	Prec@1 51.500 (48.103)	Prec@5 83.500 (78.473)
Epoch: [50][2210/9018]	Time 0.596 (0.623)	Data 0.001 (0.004)	Loss 2.0868 (2.0047)	Prec@1 45.500 (48.099)	Prec@5 77.000 (78.478)
Epoch: [50][2220/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 1.8451 (2.0050)	Prec@1 52.000 (48.092)	Prec@5 79.500 (78.474)
Epoch: [50][2230/9018]	Time 0.714 (0.623)	Data 0.001 (0.004)	Loss 2.3936 (2.0055)	Prec@1 39.500 (48.082)	Prec@5 76.000 (78.470)
Epoch: [50][2240/9018]	Time 0.617 (0.623)	Data 0.014 (0.004)	Loss 1.9550 (2.0056)	Prec@1 51.500 (48.079)	Prec@5 78.500 (78.468)
Epoch: [50][2250/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 2.0764 (2.0058)	Prec@1 47.000 (48.076)	Prec@5 76.500 (78.463)
Epoch: [50][2260/9018]	Time 0.610 (0.623)	Data 0.001 (0.004)	Loss 2.1959 (2.0058)	Prec@1 42.500 (48.078)	Prec@5 77.000 (78.464)
Epoch: [50][2270/9018]	Time 0.613 (0.623)	Data 0.001 (0.004)	Loss 2.0246 (2.0058)	Prec@1 45.000 (48.082)	Prec@5 80.500 (78.469)
Epoch: [50][2280/9018]	Time 0.604 (0.623)	Data 0.001 (0.004)	Loss 1.9987 (2.0059)	Prec@1 48.000 (48.079)	Prec@5 80.000 (78.464)
Epoch: [50][2290/9018]	Time 0.622 (0.623)	Data 0.001 (0.004)	Loss 1.7634 (2.0060)	Prec@1 53.000 (48.073)	Prec@5 83.000 (78.460)
Epoch: [50][2300/9018]	Time 0.612 (0.623)	Data 0.001 (0.004)	Loss 2.0023 (2.0061)	Prec@1 46.500 (48.066)	Prec@5 77.000 (78.461)
Epoch: [50][2310/9018]	Time 0.593 (0.623)	Data 0.001 (0.004)	Loss 2.0019 (2.0060)	Prec@1 49.000 (48.071)	Prec@5 78.000 (78.466)
Epoch: [50][2320/9018]	Time 0.622 (0.623)	Data 0.001 (0.004)	Loss 2.0276 (2.0060)	Prec@1 46.000 (48.067)	Prec@5 78.500 (78.461)
Epoch: [50][2330/9018]	Time 0.617 (0.623)	Data 0.001 (0.004)	Loss 1.9930 (2.0058)	Prec@1 45.000 (48.068)	Prec@5 81.500 (78.468)
Epoch: [50][2340/9018]	Time 0.603 (0.623)	Data 0.001 (0.004)	Loss 1.8947 (2.0057)	Prec@1 50.000 (48.069)	Prec@5 80.500 (78.470)
Epoch: [50][2350/9018]	Time 0.595 (0.623)	Data 0.001 (0.004)	Loss 2.2873 (2.0056)	Prec@1 39.000 (48.072)	Prec@5 74.500 (78.473)
Epoch: [50][2360/9018]	Time 0.613 (0.623)	Data 0.001 (0.004)	Loss 2.0428 (2.0058)	Prec@1 48.000 (48.068)	Prec@5 78.000 (78.473)
Epoch: [50][2370/9018]	Time 0.627 (0.623)	Data 0.001 (0.004)	Loss 2.1540 (2.0058)	Prec@1 45.500 (48.069)	Prec@5 76.000 (78.472)
Epoch: [50][2380/9018]	Time 0.622 (0.623)	Data 0.001 (0.004)	Loss 1.9353 (2.0058)	Prec@1 53.500 (48.073)	Prec@5 77.000 (78.471)
Epoch: [50][2390/9018]	Time 0.600 (0.623)	Data 0.001 (0.004)	Loss 1.9357 (2.0058)	Prec@1 49.500 (48.078)	Prec@5 80.500 (78.469)
Epoch: [50][2400/9018]	Time 0.608 (0.623)	Data 0.001 (0.004)	Loss 2.1438 (2.0057)	Prec@1 47.000 (48.079)	Prec@5 78.500 (78.469)
Epoch: [50][2410/9018]	Time 0.617 (0.623)	Data 0.001 (0.004)	Loss 1.9575 (2.0056)	Prec@1 49.500 (48.083)	Prec@5 81.500 (78.468)
Epoch: [50][2420/9018]	Time 0.593 (0.623)	Data 0.001 (0.004)	Loss 2.0801 (2.0055)	Prec@1 51.500 (48.083)	Prec@5 76.000 (78.470)
Epoch: [50][2430/9018]	Time 0.606 (0.623)	Data 0.001 (0.004)	Loss 2.0497 (2.0055)	Prec@1 46.500 (48.085)	Prec@5 80.500 (78.473)
Epoch: [50][2440/9018]	Time 0.594 (0.623)	Data 0.001 (0.004)	Loss 2.0036 (2.0056)	Prec@1 50.500 (48.083)	Prec@5 83.000 (78.473)
Epoch: [50][2450/9018]	Time 0.604 (0.623)	Data 0.001 (0.004)	Loss 1.9615 (2.0054)	Prec@1 53.000 (48.089)	Prec@5 80.000 (78.476)
Epoch: [50][2460/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.9661 (2.0056)	Prec@1 49.000 (48.089)	Prec@5 79.500 (78.474)
Epoch: [50][2470/9018]	Time 0.620 (0.623)	Data 0.001 (0.004)	Loss 2.0572 (2.0057)	Prec@1 45.500 (48.089)	Prec@5 76.000 (78.469)
Epoch: [50][2480/9018]	Time 0.628 (0.623)	Data 0.001 (0.004)	Loss 1.8250 (2.0054)	Prec@1 52.500 (48.097)	Prec@5 83.500 (78.475)
Epoch: [50][2490/9018]	Time 0.601 (0.623)	Data 0.001 (0.004)	Loss 2.0285 (2.0056)	Prec@1 45.500 (48.093)	Prec@5 80.500 (78.471)
Epoch: [50][2500/9018]	Time 0.613 (0.623)	Data 0.001 (0.004)	Loss 2.1832 (2.0059)	Prec@1 43.000 (48.085)	Prec@5 76.500 (78.467)
Epoch: [50][2510/9018]	Time 0.782 (0.623)	Data 0.001 (0.004)	Loss 2.0015 (2.0063)	Prec@1 48.500 (48.081)	Prec@5 76.500 (78.455)
Epoch: [50][2520/9018]	Time 0.613 (0.623)	Data 0.008 (0.004)	Loss 2.1642 (2.0064)	Prec@1 45.500 (48.079)	Prec@5 76.500 (78.455)
Epoch: [50][2530/9018]	Time 0.620 (0.623)	Data 0.015 (0.004)	Loss 1.9758 (2.0063)	Prec@1 52.000 (48.081)	Prec@5 76.000 (78.459)
Epoch: [50][2540/9018]	Time 0.597 (0.623)	Data 0.001 (0.004)	Loss 1.9451 (2.0065)	Prec@1 49.500 (48.082)	Prec@5 80.000 (78.454)
Epoch: [50][2550/9018]	Time 0.633 (0.623)	Data 0.001 (0.004)	Loss 1.8022 (2.0066)	Prec@1 49.000 (48.081)	Prec@5 83.000 (78.451)
Epoch: [50][2560/9018]	Time 0.792 (0.623)	Data 0.014 (0.004)	Loss 2.2897 (2.0069)	Prec@1 42.500 (48.076)	Prec@5 73.000 (78.445)
Epoch: [50][2570/9018]	Time 0.632 (0.623)	Data 0.001 (0.004)	Loss 1.9641 (2.0069)	Prec@1 49.000 (48.076)	Prec@5 77.500 (78.447)
Epoch: [50][2580/9018]	Time 0.601 (0.623)	Data 0.016 (0.004)	Loss 1.9669 (2.0067)	Prec@1 46.000 (48.080)	Prec@5 78.500 (78.452)
Epoch: [50][2590/9018]	Time 0.620 (0.623)	Data 0.001 (0.004)	Loss 1.9034 (2.0067)	Prec@1 49.500 (48.076)	Prec@5 81.500 (78.453)
Epoch: [50][2600/9018]	Time 0.593 (0.623)	Data 0.001 (0.004)	Loss 1.9017 (2.0065)	Prec@1 50.500 (48.083)	Prec@5 81.500 (78.455)
Epoch: [50][2610/9018]	Time 0.597 (0.623)	Data 0.001 (0.004)	Loss 2.1016 (2.0065)	Prec@1 49.000 (48.083)	Prec@5 75.500 (78.453)
Epoch: [50][2620/9018]	Time 0.598 (0.623)	Data 0.001 (0.004)	Loss 2.2128 (2.0068)	Prec@1 48.500 (48.074)	Prec@5 76.500 (78.450)
Epoch: [50][2630/9018]	Time 0.637 (0.623)	Data 0.001 (0.004)	Loss 1.8939 (2.0068)	Prec@1 54.500 (48.076)	Prec@5 80.000 (78.452)
Epoch: [50][2640/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.9679 (2.0067)	Prec@1 53.000 (48.084)	Prec@5 81.500 (78.453)
Epoch: [50][2650/9018]	Time 0.604 (0.623)	Data 0.001 (0.004)	Loss 1.8901 (2.0068)	Prec@1 55.500 (48.085)	Prec@5 77.500 (78.452)
Epoch: [50][2660/9018]	Time 0.614 (0.623)	Data 0.001 (0.004)	Loss 2.0504 (2.0072)	Prec@1 45.500 (48.077)	Prec@5 76.000 (78.445)
Epoch: [50][2670/9018]	Time 0.607 (0.623)	Data 0.001 (0.004)	Loss 2.0839 (2.0073)	Prec@1 45.000 (48.071)	Prec@5 77.500 (78.442)
Epoch: [50][2680/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.9656 (2.0073)	Prec@1 47.500 (48.075)	Prec@5 84.000 (78.447)
Epoch: [50][2690/9018]	Time 0.595 (0.623)	Data 0.001 (0.004)	Loss 2.0597 (2.0071)	Prec@1 42.500 (48.075)	Prec@5 76.000 (78.452)
Epoch: [50][2700/9018]	Time 0.613 (0.623)	Data 0.001 (0.004)	Loss 2.0924 (2.0071)	Prec@1 50.000 (48.078)	Prec@5 78.500 (78.454)
Epoch: [50][2710/9018]	Time 0.608 (0.623)	Data 0.001 (0.004)	Loss 1.8890 (2.0072)	Prec@1 53.000 (48.078)	Prec@5 79.500 (78.452)
Epoch: [50][2720/9018]	Time 0.624 (0.623)	Data 0.002 (0.004)	Loss 2.3636 (2.0070)	Prec@1 42.500 (48.080)	Prec@5 73.500 (78.455)
Epoch: [50][2730/9018]	Time 0.600 (0.623)	Data 0.001 (0.004)	Loss 2.1995 (2.0073)	Prec@1 44.500 (48.078)	Prec@5 75.000 (78.450)
Epoch: [50][2740/9018]	Time 0.599 (0.623)	Data 0.001 (0.004)	Loss 1.6600 (2.0074)	Prec@1 54.500 (48.072)	Prec@5 83.000 (78.446)
Epoch: [50][2750/9018]	Time 0.587 (0.623)	Data 0.001 (0.004)	Loss 2.1217 (2.0074)	Prec@1 45.500 (48.063)	Prec@5 78.000 (78.449)
Epoch: [50][2760/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.9426 (2.0076)	Prec@1 45.500 (48.059)	Prec@5 77.500 (78.445)
Epoch: [50][2770/9018]	Time 0.604 (0.623)	Data 0.001 (0.004)	Loss 2.1596 (2.0078)	Prec@1 43.500 (48.054)	Prec@5 76.500 (78.438)
Epoch: [50][2780/9018]	Time 0.594 (0.623)	Data 0.001 (0.004)	Loss 1.9946 (2.0077)	Prec@1 50.000 (48.060)	Prec@5 78.000 (78.440)
Epoch: [50][2790/9018]	Time 0.600 (0.623)	Data 0.001 (0.004)	Loss 2.1001 (2.0077)	Prec@1 47.500 (48.060)	Prec@5 77.500 (78.442)
Epoch: [50][2800/9018]	Time 0.620 (0.623)	Data 0.001 (0.004)	Loss 1.9375 (2.0077)	Prec@1 46.500 (48.054)	Prec@5 79.000 (78.442)
Epoch: [50][2810/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 2.1392 (2.0077)	Prec@1 42.500 (48.054)	Prec@5 75.500 (78.448)
Epoch: [50][2820/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 2.0108 (2.0075)	Prec@1 44.000 (48.055)	Prec@5 79.000 (78.452)
Epoch: [50][2830/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.9687 (2.0076)	Prec@1 48.000 (48.055)	Prec@5 79.000 (78.453)
Epoch: [50][2840/9018]	Time 0.751 (0.623)	Data 0.001 (0.003)	Loss 1.8998 (2.0075)	Prec@1 49.500 (48.056)	Prec@5 79.500 (78.451)
Epoch: [50][2850/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 2.1383 (2.0075)	Prec@1 47.000 (48.053)	Prec@5 77.500 (78.448)
Epoch: [50][2860/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7346 (2.0074)	Prec@1 54.500 (48.052)	Prec@5 85.500 (78.454)
Epoch: [50][2870/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.8793 (2.0076)	Prec@1 50.000 (48.046)	Prec@5 78.500 (78.452)
Epoch: [50][2880/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 2.1834 (2.0075)	Prec@1 45.000 (48.049)	Prec@5 75.500 (78.455)
Epoch: [50][2890/9018]	Time 0.749 (0.623)	Data 0.001 (0.003)	Loss 2.0662 (2.0075)	Prec@1 46.500 (48.050)	Prec@5 74.500 (78.458)
Epoch: [50][2900/9018]	Time 0.625 (0.623)	Data 0.014 (0.003)	Loss 1.9840 (2.0075)	Prec@1 50.000 (48.054)	Prec@5 79.000 (78.456)
Epoch: [50][2910/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.9514 (2.0073)	Prec@1 51.000 (48.059)	Prec@5 79.500 (78.460)
Epoch: [50][2920/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7347 (2.0074)	Prec@1 53.500 (48.058)	Prec@5 88.000 (78.459)
Epoch: [50][2930/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 2.1714 (2.0073)	Prec@1 46.000 (48.057)	Prec@5 77.500 (78.461)
Epoch: [50][2940/9018]	Time 0.622 (0.623)	Data 0.008 (0.003)	Loss 2.1136 (2.0074)	Prec@1 44.000 (48.060)	Prec@5 76.500 (78.459)
Epoch: [50][2950/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 2.0297 (2.0075)	Prec@1 45.500 (48.052)	Prec@5 80.000 (78.457)
Epoch: [50][2960/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.9146 (2.0073)	Prec@1 50.500 (48.055)	Prec@5 79.000 (78.461)
Epoch: [50][2970/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 2.2497 (2.0074)	Prec@1 43.500 (48.056)	Prec@5 73.500 (78.461)
Epoch: [50][2980/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.9131 (2.0072)	Prec@1 46.500 (48.062)	Prec@5 79.000 (78.462)
Epoch: [50][2990/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.8922 (2.0071)	Prec@1 51.000 (48.064)	Prec@5 79.500 (78.465)
Epoch: [50][3000/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 2.0990 (2.0070)	Prec@1 48.000 (48.065)	Prec@5 82.000 (78.467)
Epoch: [50][3010/9018]	Time 0.604 (0.623)	Data 0.002 (0.003)	Loss 1.9886 (2.0071)	Prec@1 49.500 (48.063)	Prec@5 80.000 (78.465)
Epoch: [50][3020/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8751 (2.0070)	Prec@1 52.500 (48.065)	Prec@5 80.000 (78.465)
Epoch: [50][3030/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 2.1967 (2.0071)	Prec@1 45.000 (48.064)	Prec@5 75.000 (78.465)
Epoch: [50][3040/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 2.2747 (2.0071)	Prec@1 44.000 (48.066)	Prec@5 74.500 (78.467)
Epoch: [50][3050/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 2.0660 (2.0071)	Prec@1 46.500 (48.066)	Prec@5 76.500 (78.467)
Epoch: [50][3060/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 2.0411 (2.0074)	Prec@1 45.500 (48.059)	Prec@5 79.000 (78.463)
Epoch: [50][3070/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 2.2416 (2.0076)	Prec@1 46.500 (48.056)	Prec@5 72.500 (78.459)
Epoch: [50][3080/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 2.1582 (2.0075)	Prec@1 45.000 (48.059)	Prec@5 76.000 (78.460)
Epoch: [50][3090/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6869 (2.0074)	Prec@1 56.000 (48.062)	Prec@5 83.000 (78.461)
Epoch: [50][3100/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 2.2460 (2.0076)	Prec@1 43.500 (48.059)	Prec@5 74.000 (78.455)
Epoch: [50][3110/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.9647 (2.0078)	Prec@1 50.000 (48.055)	Prec@5 79.000 (78.450)
Epoch: [50][3120/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 2.1106 (2.0080)	Prec@1 47.500 (48.055)	Prec@5 75.500 (78.448)
Epoch: [50][3130/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 2.1436 (2.0081)	Prec@1 47.000 (48.055)	Prec@5 73.000 (78.446)
Epoch: [50][3140/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8207 (2.0079)	Prec@1 49.000 (48.051)	Prec@5 82.500 (78.450)
Epoch: [50][3150/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 2.0303 (2.0081)	Prec@1 46.000 (48.049)	Prec@5 76.500 (78.448)
Epoch: [50][3160/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 2.0820 (2.0082)	Prec@1 46.000 (48.047)	Prec@5 79.000 (78.448)
Epoch: [50][3170/9018]	Time 0.745 (0.623)	Data 0.001 (0.003)	Loss 1.9509 (2.0083)	Prec@1 44.500 (48.043)	Prec@5 82.500 (78.447)
Epoch: [50][3180/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 2.0081 (2.0086)	Prec@1 47.500 (48.041)	Prec@5 72.500 (78.443)
Epoch: [50][3190/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 2.0629 (2.0086)	Prec@1 47.000 (48.038)	Prec@5 76.500 (78.439)
Epoch: [50][3200/9018]	Time 0.609 (0.623)	Data 0.015 (0.003)	Loss 2.1016 (2.0088)	Prec@1 45.000 (48.032)	Prec@5 74.000 (78.436)
Epoch: [50][3210/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 2.0679 (2.0087)	Prec@1 46.000 (48.032)	Prec@5 74.000 (78.434)
Epoch: [50][3220/9018]	Time 0.779 (0.623)	Data 0.009 (0.003)	Loss 1.9277 (2.0084)	Prec@1 48.500 (48.033)	Prec@5 80.500 (78.440)
Epoch: [50][3230/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.9260 (2.0084)	Prec@1 51.500 (48.039)	Prec@5 79.000 (78.438)
Epoch: [50][3240/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.8158 (2.0082)	Prec@1 53.500 (48.048)	Prec@5 84.000 (78.444)
Epoch: [50][3250/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 2.1462 (2.0084)	Prec@1 48.500 (48.046)	Prec@5 76.000 (78.444)
Epoch: [50][3260/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 2.0269 (2.0083)	Prec@1 46.500 (48.050)	Prec@5 78.500 (78.444)
Epoch: [50][3270/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.8659 (2.0083)	Prec@1 52.000 (48.049)	Prec@5 81.500 (78.443)
Epoch: [50][3280/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.9426 (2.0084)	Prec@1 50.000 (48.051)	Prec@5 82.500 (78.445)
Epoch: [50][3290/9018]	Time 0.605 (0.623)	Data 0.015 (0.003)	Loss 2.0818 (2.0082)	Prec@1 49.000 (48.055)	Prec@5 76.500 (78.449)
Epoch: [50][3300/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 2.2955 (2.0083)	Prec@1 44.000 (48.053)	Prec@5 69.000 (78.446)
Epoch: [50][3310/9018]	Time 0.605 (0.623)	Data 0.005 (0.003)	Loss 1.9620 (2.0084)	Prec@1 47.500 (48.052)	Prec@5 80.000 (78.447)
Epoch: [50][3320/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 2.0929 (2.0081)	Prec@1 47.000 (48.058)	Prec@5 75.000 (78.449)
Epoch: [50][3330/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 2.2747 (2.0082)	Prec@1 44.000 (48.055)	Prec@5 73.500 (78.447)
Epoch: [50][3340/9018]	Time 0.645 (0.623)	Data 0.001 (0.003)	Loss 2.1627 (2.0082)	Prec@1 46.500 (48.060)	Prec@5 79.500 (78.449)
Epoch: [50][3350/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.9852 (2.0082)	Prec@1 46.000 (48.060)	Prec@5 77.500 (78.448)
Epoch: [50][3360/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.9711 (2.0082)	Prec@1 48.500 (48.065)	Prec@5 77.500 (78.448)
Epoch: [50][3370/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.9637 (2.0081)	Prec@1 51.500 (48.063)	Prec@5 80.000 (78.449)
Epoch: [50][3380/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 2.0307 (2.0083)	Prec@1 45.500 (48.059)	Prec@5 78.500 (78.445)
Epoch: [50][3390/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 2.0741 (2.0082)	Prec@1 41.500 (48.054)	Prec@5 74.500 (78.446)
Epoch: [50][3400/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 2.0386 (2.0082)	Prec@1 47.500 (48.054)	Prec@5 80.000 (78.448)
Epoch: [50][3410/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.8876 (2.0081)	Prec@1 52.000 (48.059)	Prec@5 81.000 (78.449)
Epoch: [50][3420/9018]	Time 0.601 (0.623)	Data 0.013 (0.003)	Loss 1.7909 (2.0082)	Prec@1 49.500 (48.056)	Prec@5 84.000 (78.449)
Epoch: [50][3430/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 2.1953 (2.0083)	Prec@1 47.000 (48.054)	Prec@5 74.500 (78.446)
Epoch: [50][3440/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 2.0044 (2.0083)	Prec@1 46.000 (48.053)	Prec@5 77.000 (78.447)
Epoch: [50][3450/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 2.0640 (2.0082)	Prec@1 42.500 (48.055)	Prec@5 77.000 (78.449)
Epoch: [50][3460/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 2.0523 (2.0083)	Prec@1 48.000 (48.053)	Prec@5 76.500 (78.445)
Epoch: [50][3470/9018]	Time 0.618 (0.623)	Data 0.003 (0.003)	Loss 1.9960 (2.0084)	Prec@1 46.000 (48.055)	Prec@5 78.500 (78.443)
Epoch: [50][3480/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.9261 (2.0084)	Prec@1 52.000 (48.052)	Prec@5 82.000 (78.443)
Epoch: [50][3490/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.9693 (2.0084)	Prec@1 46.500 (48.054)	Prec@5 79.000 (78.445)
Epoch: [50][3500/9018]	Time 0.758 (0.623)	Data 0.001 (0.003)	Loss 1.9093 (2.0084)	Prec@1 50.500 (48.056)	Prec@5 80.000 (78.444)
Epoch: [50][3510/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 2.0045 (2.0083)	Prec@1 50.000 (48.062)	Prec@5 79.500 (78.447)
Epoch: [50][3520/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 2.1789 (2.0083)	Prec@1 42.500 (48.061)	Prec@5 76.500 (78.448)
Epoch: [50][3530/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 2.1910 (2.0084)	Prec@1 45.500 (48.061)	Prec@5 72.500 (78.446)
Epoch: [50][3540/9018]	Time 0.606 (0.623)	Data 0.015 (0.003)	Loss 1.9973 (2.0085)	Prec@1 48.000 (48.060)	Prec@5 77.000 (78.447)
Epoch: [50][3550/9018]	Time 0.744 (0.623)	Data 0.001 (0.003)	Loss 1.9282 (2.0084)	Prec@1 49.500 (48.061)	Prec@5 83.500 (78.450)
Epoch: [50][3560/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.8623 (2.0085)	Prec@1 54.500 (48.063)	Prec@5 80.500 (78.447)
Epoch: [50][3570/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8283 (2.0086)	Prec@1 44.000 (48.055)	Prec@5 83.500 (78.446)
Epoch: [50][3580/9018]	Time 0.608 (0.623)	Data 0.017 (0.003)	Loss 2.0201 (2.0086)	Prec@1 48.000 (48.058)	Prec@5 78.000 (78.444)
Epoch: [50][3590/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8842 (2.0086)	Prec@1 54.500 (48.059)	Prec@5 81.500 (78.441)
Epoch: [50][3600/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 2.1962 (2.0087)	Prec@1 44.500 (48.057)	Prec@5 73.500 (78.436)
Epoch: [50][3610/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7777 (2.0085)	Prec@1 48.000 (48.059)	Prec@5 84.000 (78.440)
Epoch: [50][3620/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.9835 (2.0084)	Prec@1 46.000 (48.058)	Prec@5 78.000 (78.441)
Epoch: [50][3630/9018]	Time 0.594 (0.623)	Data 0.002 (0.003)	Loss 2.1884 (2.0084)	Prec@1 44.500 (48.058)	Prec@5 77.500 (78.444)
Epoch: [50][3640/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.8980 (2.0084)	Prec@1 50.500 (48.057)	Prec@5 83.500 (78.447)
Epoch: [50][3650/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 2.1059 (2.0086)	Prec@1 49.000 (48.053)	Prec@5 76.000 (78.442)
Epoch: [50][3660/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 2.0293 (2.0086)	Prec@1 45.000 (48.050)	Prec@5 79.000 (78.442)
Epoch: [50][3670/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.9810 (2.0088)	Prec@1 46.000 (48.044)	Prec@5 79.000 (78.439)
Epoch: [50][3680/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.9821 (2.0088)	Prec@1 50.000 (48.047)	Prec@5 76.500 (78.439)
Epoch: [50][3690/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 2.1391 (2.0090)	Prec@1 44.500 (48.043)	Prec@5 77.000 (78.438)
Epoch: [50][3700/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 2.0014 (2.0091)	Prec@1 49.000 (48.042)	Prec@5 81.500 (78.438)
Epoch: [50][3710/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8670 (2.0091)	Prec@1 50.000 (48.041)	Prec@5 81.000 (78.438)
Epoch: [50][3720/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7398 (2.0091)	Prec@1 54.500 (48.036)	Prec@5 82.500 (78.440)
Epoch: [50][3730/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 2.1098 (2.0091)	Prec@1 48.500 (48.038)	Prec@5 75.500 (78.436)
Epoch: [50][3740/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 2.1572 (2.0091)	Prec@1 44.500 (48.038)	Prec@5 74.000 (78.436)
Epoch: [50][3750/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 2.2440 (2.0091)	Prec@1 43.500 (48.039)	Prec@5 71.000 (78.435)
Epoch: [50][3760/9018]	Time 0.608 (0.623)	Data 0.022 (0.003)	Loss 1.8215 (2.0092)	Prec@1 54.500 (48.036)	Prec@5 80.500 (78.431)
Epoch: [50][3770/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8740 (2.0091)	Prec@1 50.000 (48.037)	Prec@5 80.000 (78.432)
Epoch: [50][3780/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 2.1555 (2.0092)	Prec@1 45.000 (48.033)	Prec@5 74.000 (78.430)
Epoch: [50][3790/9018]	Time 0.618 (0.623)	Data 0.012 (0.003)	Loss 1.9393 (2.0093)	Prec@1 49.000 (48.030)	Prec@5 82.000 (78.431)
Epoch: [50][3800/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 2.1418 (2.0095)	Prec@1 48.000 (48.026)	Prec@5 75.500 (78.429)
Epoch: [50][3810/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.9834 (2.0097)	Prec@1 51.000 (48.022)	Prec@5 78.000 (78.428)
Epoch: [50][3820/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.8872 (2.0095)	Prec@1 48.500 (48.023)	Prec@5 82.000 (78.432)
Epoch: [50][3830/9018]	Time 0.732 (0.623)	Data 0.001 (0.003)	Loss 1.9555 (2.0094)	Prec@1 50.500 (48.027)	Prec@5 79.500 (78.438)
Epoch: [50][3840/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.9921 (2.0093)	Prec@1 51.500 (48.029)	Prec@5 78.500 (78.439)
Epoch: [50][3850/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.9689 (2.0093)	Prec@1 49.500 (48.029)	Prec@5 79.500 (78.441)
Epoch: [50][3860/9018]	Time 0.617 (0.623)	Data 0.014 (0.003)	Loss 1.8555 (2.0093)	Prec@1 46.500 (48.025)	Prec@5 85.500 (78.441)
Epoch: [50][3870/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 2.0534 (2.0094)	Prec@1 49.000 (48.022)	Prec@5 75.500 (78.440)
Epoch: [50][3880/9018]	Time 0.743 (0.623)	Data 0.001 (0.003)	Loss 2.1089 (2.0095)	Prec@1 48.500 (48.022)	Prec@5 76.000 (78.439)
Epoch: [50][3890/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.8682 (2.0094)	Prec@1 53.000 (48.024)	Prec@5 78.500 (78.439)
Epoch: [50][3900/9018]	Time 0.638 (0.623)	Data 0.004 (0.003)	Loss 1.8334 (2.0095)	Prec@1 49.500 (48.023)	Prec@5 82.500 (78.438)
Epoch: [50][3910/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.9193 (2.0094)	Prec@1 51.500 (48.023)	Prec@5 78.000 (78.437)
Epoch: [50][3920/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 2.0937 (2.0093)	Prec@1 46.500 (48.023)	Prec@5 77.500 (78.439)
Epoch: [50][3930/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8404 (2.0093)	Prec@1 48.500 (48.025)	Prec@5 84.500 (78.441)
Epoch: [50][3940/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 2.1782 (2.0094)	Prec@1 41.500 (48.021)	Prec@5 76.500 (78.435)
Epoch: [50][3950/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 2.1935 (2.0095)	Prec@1 47.000 (48.016)	Prec@5 74.000 (78.431)
Epoch: [50][3960/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.8327 (2.0094)	Prec@1 53.500 (48.018)	Prec@5 79.500 (78.432)
Epoch: [50][3970/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 2.0978 (2.0094)	Prec@1 47.500 (48.020)	Prec@5 74.000 (78.430)
Epoch: [50][3980/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 2.0300 (2.0094)	Prec@1 51.000 (48.022)	Prec@5 76.500 (78.431)
Epoch: [50][3990/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.9945 (2.0094)	Prec@1 49.000 (48.022)	Prec@5 83.000 (78.433)
Epoch: [50][4000/9018]	Time 0.642 (0.623)	Data 0.017 (0.003)	Loss 1.9916 (2.0095)	Prec@1 46.500 (48.019)	Prec@5 79.000 (78.431)
Epoch: [50][4010/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8623 (2.0096)	Prec@1 52.000 (48.020)	Prec@5 84.500 (78.431)
Epoch: [50][4020/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 2.0032 (2.0095)	Prec@1 47.000 (48.022)	Prec@5 78.000 (78.433)
Epoch: [50][4030/9018]	Time 0.597 (0.623)	Data 0.007 (0.003)	Loss 1.8840 (2.0094)	Prec@1 43.500 (48.021)	Prec@5 84.500 (78.434)
Epoch: [50][4040/9018]	Time 0.619 (0.623)	Data 0.016 (0.003)	Loss 1.9847 (2.0095)	Prec@1 49.000 (48.019)	Prec@5 80.500 (78.432)
Epoch: [50][4050/9018]	Time 0.613 (0.623)	Data 0.015 (0.003)	Loss 2.0800 (2.0096)	Prec@1 52.000 (48.018)	Prec@5 77.000 (78.431)
Epoch: [50][4060/9018]	Time 0.642 (0.623)	Data 0.010 (0.003)	Loss 2.0395 (2.0096)	Prec@1 48.000 (48.019)	Prec@5 78.000 (78.429)
Epoch: [50][4070/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 2.2929 (2.0096)	Prec@1 41.500 (48.020)	Prec@5 75.000 (78.429)
Epoch: [50][4080/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.9826 (2.0096)	Prec@1 49.500 (48.020)	Prec@5 80.000 (78.430)
Epoch: [50][4090/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 2.0863 (2.0094)	Prec@1 44.000 (48.025)	Prec@5 74.000 (78.433)
Epoch: [50][4100/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.8514 (2.0095)	Prec@1 49.500 (48.025)	Prec@5 83.000 (78.431)
Epoch: [50][4110/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.9537 (2.0096)	Prec@1 46.000 (48.022)	Prec@5 83.000 (78.432)
Epoch: [50][4120/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 2.1291 (2.0097)	Prec@1 47.500 (48.024)	Prec@5 77.000 (78.431)
Epoch: [50][4130/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 2.1557 (2.0096)	Prec@1 44.500 (48.024)	Prec@5 75.000 (78.433)
Epoch: [50][4140/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 2.2664 (2.0097)	Prec@1 38.000 (48.021)	Prec@5 75.500 (78.431)
Epoch: [50][4150/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 2.1212 (2.0096)	Prec@1 49.500 (48.024)	Prec@5 75.000 (78.434)
Epoch: [50][4160/9018]	Time 0.776 (0.623)	Data 0.001 (0.003)	Loss 2.0018 (2.0096)	Prec@1 49.000 (48.022)	Prec@5 79.000 (78.434)
Epoch: [50][4170/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 2.1128 (2.0097)	Prec@1 41.000 (48.018)	Prec@5 80.500 (78.434)
Epoch: [50][4180/9018]	Time 0.622 (0.623)	Data 0.025 (0.003)	Loss 1.9640 (2.0097)	Prec@1 47.500 (48.015)	Prec@5 76.000 (78.432)
Epoch: [50][4190/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.9623 (2.0098)	Prec@1 50.500 (48.016)	Prec@5 80.500 (78.432)
Epoch: [50][4200/9018]	Time 0.644 (0.623)	Data 0.001 (0.003)	Loss 1.8447 (2.0097)	Prec@1 50.000 (48.017)	Prec@5 84.000 (78.433)
Epoch: [50][4210/9018]	Time 0.784 (0.623)	Data 0.001 (0.003)	Loss 1.9137 (2.0097)	Prec@1 48.500 (48.017)	Prec@5 81.000 (78.434)
Epoch: [50][4220/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.8717 (2.0097)	Prec@1 51.000 (48.014)	Prec@5 80.000 (78.434)
Epoch: [50][4230/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 2.0304 (2.0098)	Prec@1 44.500 (48.012)	Prec@5 79.500 (78.432)
Epoch: [50][4240/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 2.1188 (2.0099)	Prec@1 41.500 (48.008)	Prec@5 76.500 (78.429)
Epoch: [50][4250/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 1.8782 (2.0099)	Prec@1 52.500 (48.008)	Prec@5 81.500 (78.429)
Epoch: [50][4260/9018]	Time 0.634 (0.622)	Data 0.001 (0.003)	Loss 2.1368 (2.0101)	Prec@1 48.000 (48.004)	Prec@5 75.500 (78.425)
Epoch: [50][4270/9018]	Time 0.617 (0.622)	Data 0.017 (0.003)	Loss 1.9469 (2.0101)	Prec@1 50.000 (48.003)	Prec@5 80.000 (78.426)
Epoch: [50][4280/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 2.0864 (2.0102)	Prec@1 47.000 (47.997)	Prec@5 75.500 (78.424)
Epoch: [50][4290/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.9251 (2.0103)	Prec@1 53.000 (47.996)	Prec@5 79.500 (78.422)
Epoch: [50][4300/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 2.3058 (2.0105)	Prec@1 44.500 (47.995)	Prec@5 72.000 (78.417)
Epoch: [50][4310/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.8458 (2.0108)	Prec@1 49.000 (47.988)	Prec@5 81.500 (78.413)
Epoch: [50][4320/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 2.0433 (2.0109)	Prec@1 49.000 (47.984)	Prec@5 79.000 (78.412)
Epoch: [50][4330/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.9622 (2.0109)	Prec@1 47.000 (47.981)	Prec@5 79.000 (78.410)
Epoch: [50][4340/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 2.0117 (2.0108)	Prec@1 51.500 (47.985)	Prec@5 77.000 (78.415)
Epoch: [50][4350/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 2.0492 (2.0108)	Prec@1 46.000 (47.983)	Prec@5 75.000 (78.413)
Epoch: [50][4360/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 2.0637 (2.0108)	Prec@1 47.500 (47.984)	Prec@5 78.000 (78.413)
Epoch: [50][4370/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 2.0690 (2.0108)	Prec@1 47.500 (47.984)	Prec@5 77.500 (78.411)
Epoch: [50][4380/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.9326 (2.0109)	Prec@1 48.000 (47.981)	Prec@5 80.500 (78.410)
Epoch: [50][4390/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.8175 (2.0109)	Prec@1 53.000 (47.979)	Prec@5 80.000 (78.411)
Epoch: [50][4400/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 2.0146 (2.0109)	Prec@1 45.000 (47.979)	Prec@5 76.000 (78.412)
Epoch: [50][4410/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.9913 (2.0110)	Prec@1 47.500 (47.979)	Prec@5 76.500 (78.408)
Epoch: [50][4420/9018]	Time 0.600 (0.622)	Data 0.005 (0.003)	Loss 2.1065 (2.0108)	Prec@1 46.500 (47.981)	Prec@5 74.500 (78.411)
Epoch: [50][4430/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 2.0460 (2.0107)	Prec@1 46.500 (47.983)	Prec@5 76.000 (78.414)
Epoch: [50][4440/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.8696 (2.0105)	Prec@1 52.000 (47.987)	Prec@5 81.500 (78.418)
Epoch: [50][4450/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.9195 (2.0104)	Prec@1 56.500 (47.986)	Prec@5 80.500 (78.418)
Epoch: [50][4460/9018]	Time 0.626 (0.622)	Data 0.015 (0.003)	Loss 2.1282 (2.0104)	Prec@1 41.500 (47.987)	Prec@5 74.500 (78.421)
Epoch: [50][4470/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 2.1313 (2.0103)	Prec@1 44.500 (47.989)	Prec@5 77.500 (78.424)
Epoch: [50][4480/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 2.2608 (2.0104)	Prec@1 44.000 (47.989)	Prec@5 76.000 (78.423)
Epoch: [50][4490/9018]	Time 0.752 (0.622)	Data 0.001 (0.003)	Loss 1.9111 (2.0104)	Prec@1 48.500 (47.988)	Prec@5 81.000 (78.423)
Epoch: [50][4500/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 2.0768 (2.0105)	Prec@1 50.500 (47.988)	Prec@5 76.500 (78.420)
Epoch: [50][4510/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.9262 (2.0106)	Prec@1 52.000 (47.985)	Prec@5 80.000 (78.420)
Epoch: [50][4520/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 2.4096 (2.0107)	Prec@1 47.000 (47.985)	Prec@5 69.500 (78.418)
Epoch: [50][4530/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 2.0720 (2.0108)	Prec@1 45.500 (47.984)	Prec@5 75.500 (78.416)
Epoch: [50][4540/9018]	Time 0.741 (0.622)	Data 0.016 (0.003)	Loss 2.1588 (2.0109)	Prec@1 44.500 (47.985)	Prec@5 72.500 (78.415)
Epoch: [50][4550/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 2.0930 (2.0108)	Prec@1 49.000 (47.988)	Prec@5 73.500 (78.417)
Epoch: [50][4560/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.9186 (2.0107)	Prec@1 51.000 (47.989)	Prec@5 79.000 (78.417)
Epoch: [50][4570/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 2.1885 (2.0108)	Prec@1 47.000 (47.989)	Prec@5 78.000 (78.414)
Epoch: [50][4580/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.8616 (2.0108)	Prec@1 51.000 (47.988)	Prec@5 79.500 (78.415)
Epoch: [50][4590/9018]	Time 0.632 (0.622)	Data 0.001 (0.003)	Loss 1.8664 (2.0108)	Prec@1 51.500 (47.987)	Prec@5 81.500 (78.415)
Epoch: [50][4600/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.9479 (2.0107)	Prec@1 49.000 (47.993)	Prec@5 81.000 (78.417)
Epoch: [50][4610/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 2.0147 (2.0107)	Prec@1 48.500 (47.991)	Prec@5 79.000 (78.415)
Epoch: [50][4620/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.8835 (2.0107)	Prec@1 50.000 (47.993)	Prec@5 81.000 (78.417)
Epoch: [50][4630/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 2.1739 (2.0107)	Prec@1 44.500 (47.993)	Prec@5 78.000 (78.417)
Epoch: [50][4640/9018]	Time 0.639 (0.622)	Data 0.001 (0.003)	Loss 1.8805 (2.0107)	Prec@1 51.500 (47.992)	Prec@5 77.000 (78.414)
Epoch: [50][4650/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.9116 (2.0108)	Prec@1 51.000 (47.988)	Prec@5 83.000 (78.413)
Epoch: [50][4660/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.9402 (2.0105)	Prec@1 48.500 (47.995)	Prec@5 79.000 (78.418)
Epoch: [50][4670/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.9682 (2.0105)	Prec@1 49.000 (47.998)	Prec@5 76.000 (78.417)
Epoch: [50][4680/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 2.1890 (2.0106)	Prec@1 48.000 (47.995)	Prec@5 74.000 (78.417)
Epoch: [50][4690/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 2.2709 (2.0107)	Prec@1 37.000 (47.990)	Prec@5 73.000 (78.415)
Epoch: [50][4700/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.9773 (2.0106)	Prec@1 50.000 (47.993)	Prec@5 79.000 (78.420)
Epoch: [50][4710/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 2.0813 (2.0108)	Prec@1 47.000 (47.985)	Prec@5 79.500 (78.419)
Epoch: [50][4720/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.8460 (2.0107)	Prec@1 53.000 (47.988)	Prec@5 81.500 (78.423)
Epoch: [50][4730/9018]	Time 0.603 (0.622)	Data 0.015 (0.003)	Loss 2.0899 (2.0109)	Prec@1 45.000 (47.984)	Prec@5 76.500 (78.421)
Epoch: [50][4740/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 2.2101 (2.0109)	Prec@1 44.500 (47.982)	Prec@5 74.500 (78.420)
Epoch: [50][4750/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 2.0086 (2.0110)	Prec@1 49.000 (47.983)	Prec@5 77.500 (78.418)
Epoch: [50][4760/9018]	Time 0.586 (0.622)	Data 0.001 (0.003)	Loss 1.9334 (2.0111)	Prec@1 49.500 (47.982)	Prec@5 80.000 (78.418)
Epoch: [50][4770/9018]	Time 0.590 (0.622)	Data 0.006 (0.003)	Loss 2.1693 (2.0110)	Prec@1 44.500 (47.981)	Prec@5 76.500 (78.420)
Epoch: [50][4780/9018]	Time 0.614 (0.622)	Data 0.002 (0.003)	Loss 2.0884 (2.0110)	Prec@1 46.500 (47.982)	Prec@5 76.500 (78.418)
Epoch: [50][4790/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.9827 (2.0111)	Prec@1 46.000 (47.980)	Prec@5 82.500 (78.417)
Epoch: [50][4800/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 2.0628 (2.0112)	Prec@1 44.500 (47.976)	Prec@5 79.000 (78.417)
Epoch: [50][4810/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.9968 (2.0113)	Prec@1 48.000 (47.971)	Prec@5 77.000 (78.414)
Epoch: [50][4820/9018]	Time 0.723 (0.622)	Data 0.001 (0.003)	Loss 2.0472 (2.0113)	Prec@1 47.500 (47.972)	Prec@5 81.000 (78.415)
Epoch: [50][4830/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 2.0196 (2.0114)	Prec@1 49.500 (47.970)	Prec@5 77.000 (78.414)
Epoch: [50][4840/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 2.2271 (2.0115)	Prec@1 45.500 (47.966)	Prec@5 75.500 (78.414)
Epoch: [50][4850/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 2.0844 (2.0116)	Prec@1 50.500 (47.964)	Prec@5 75.500 (78.413)
Epoch: [50][4860/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.9925 (2.0115)	Prec@1 45.000 (47.965)	Prec@5 77.500 (78.416)
Epoch: [50][4870/9018]	Time 0.754 (0.622)	Data 0.001 (0.003)	Loss 1.9446 (2.0115)	Prec@1 47.000 (47.963)	Prec@5 79.500 (78.415)
Epoch: [50][4880/9018]	Time 0.635 (0.622)	Data 0.009 (0.003)	Loss 1.9532 (2.0115)	Prec@1 47.000 (47.961)	Prec@5 79.000 (78.414)
Epoch: [50][4890/9018]	Time 0.629 (0.622)	Data 0.019 (0.003)	Loss 1.9352 (2.0115)	Prec@1 52.500 (47.960)	Prec@5 80.500 (78.414)
Epoch: [50][4900/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.9216 (2.0115)	Prec@1 52.000 (47.957)	Prec@5 80.500 (78.413)
Epoch: [50][4910/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 2.2245 (2.0116)	Prec@1 44.500 (47.957)	Prec@5 72.000 (78.410)
Epoch: [50][4920/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 2.0661 (2.0115)	Prec@1 47.500 (47.958)	Prec@5 78.500 (78.412)
Epoch: [50][4930/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 2.0292 (2.0116)	Prec@1 49.000 (47.959)	Prec@5 77.000 (78.410)
Epoch: [50][4940/9018]	Time 0.617 (0.622)	Data 0.017 (0.003)	Loss 1.9161 (2.0117)	Prec@1 43.000 (47.956)	Prec@5 82.000 (78.409)
Epoch: [50][4950/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 2.2493 (2.0118)	Prec@1 43.500 (47.953)	Prec@5 74.500 (78.407)
Epoch: [50][4960/9018]	Time 0.620 (0.622)	Data 0.015 (0.003)	Loss 1.9968 (2.0118)	Prec@1 48.500 (47.952)	Prec@5 78.000 (78.409)
Epoch: [50][4970/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.9298 (2.0119)	Prec@1 51.000 (47.953)	Prec@5 84.000 (78.408)
Epoch: [50][4980/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.8740 (2.0118)	Prec@1 54.000 (47.958)	Prec@5 79.500 (78.409)
Epoch: [50][4990/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 2.1305 (2.0118)	Prec@1 37.500 (47.955)	Prec@5 75.000 (78.408)
Epoch: [50][5000/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 2.0088 (2.0119)	Prec@1 49.000 (47.951)	Prec@5 76.500 (78.405)
Epoch: [50][5010/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 2.1074 (2.0120)	Prec@1 49.500 (47.950)	Prec@5 80.000 (78.403)
Epoch: [50][5020/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 2.1611 (2.0120)	Prec@1 48.000 (47.949)	Prec@5 75.500 (78.403)
Epoch: [50][5030/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 2.0620 (2.0120)	Prec@1 41.500 (47.947)	Prec@5 76.000 (78.404)
Epoch: [50][5040/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 2.0367 (2.0120)	Prec@1 48.500 (47.947)	Prec@5 77.500 (78.404)
Epoch: [50][5050/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.9600 (2.0121)	Prec@1 47.500 (47.946)	Prec@5 80.500 (78.404)
Epoch: [50][5060/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.8948 (2.0120)	Prec@1 51.500 (47.948)	Prec@5 79.000 (78.406)
Epoch: [50][5070/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 2.0714 (2.0121)	Prec@1 48.000 (47.948)	Prec@5 77.500 (78.404)
Epoch: [50][5080/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 2.0667 (2.0121)	Prec@1 46.000 (47.946)	Prec@5 77.500 (78.406)
Epoch: [50][5090/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 2.1644 (2.0122)	Prec@1 44.000 (47.943)	Prec@5 72.500 (78.402)
Epoch: [50][5100/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 2.0127 (2.0123)	Prec@1 47.500 (47.942)	Prec@5 81.500 (78.400)
Epoch: [50][5110/9018]	Time 0.626 (0.622)	Data 0.015 (0.003)	Loss 2.2462 (2.0125)	Prec@1 42.000 (47.940)	Prec@5 77.500 (78.398)
Epoch: [50][5120/9018]	Time 0.641 (0.622)	Data 0.017 (0.003)	Loss 2.1942 (2.0126)	Prec@1 49.000 (47.940)	Prec@5 73.000 (78.395)
Epoch: [50][5130/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 2.1042 (2.0125)	Prec@1 45.000 (47.942)	Prec@5 76.000 (78.397)
Epoch: [50][5140/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 2.2601 (2.0125)	Prec@1 41.000 (47.941)	Prec@5 75.000 (78.396)
Epoch: [50][5150/9018]	Time 0.724 (0.622)	Data 0.001 (0.003)	Loss 1.8726 (2.0125)	Prec@1 51.500 (47.941)	Prec@5 80.500 (78.400)
Epoch: [50][5160/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 2.0233 (2.0125)	Prec@1 46.000 (47.939)	Prec@5 77.000 (78.398)
Epoch: [50][5170/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 2.2119 (2.0125)	Prec@1 46.500 (47.938)	Prec@5 76.000 (78.398)
Epoch: [50][5180/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 2.1216 (2.0125)	Prec@1 44.000 (47.936)	Prec@5 76.500 (78.399)
Epoch: [50][5190/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 2.2484 (2.0126)	Prec@1 43.000 (47.932)	Prec@5 73.000 (78.396)
Epoch: [50][5200/9018]	Time 0.735 (0.622)	Data 0.001 (0.003)	Loss 1.9476 (2.0126)	Prec@1 50.500 (47.932)	Prec@5 81.500 (78.396)
Epoch: [50][5210/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 2.1570 (2.0127)	Prec@1 42.000 (47.931)	Prec@5 78.000 (78.395)
Epoch: [50][5220/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.9137 (2.0125)	Prec@1 51.000 (47.935)	Prec@5 78.500 (78.399)
Epoch: [50][5230/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.9747 (2.0125)	Prec@1 47.500 (47.934)	Prec@5 78.500 (78.398)
Epoch: [50][5240/9018]	Time 0.611 (0.622)	Data 0.014 (0.003)	Loss 1.6497 (2.0125)	Prec@1 55.000 (47.934)	Prec@5 84.500 (78.398)
Epoch: [50][5250/9018]	Time 0.632 (0.622)	Data 0.001 (0.003)	Loss 2.1003 (2.0126)	Prec@1 46.500 (47.934)	Prec@5 77.000 (78.398)
Epoch: [50][5260/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.9991 (2.0126)	Prec@1 48.500 (47.933)	Prec@5 77.000 (78.398)
Epoch: [50][5270/9018]	Time 0.610 (0.622)	Data 0.004 (0.003)	Loss 1.9149 (2.0125)	Prec@1 49.500 (47.933)	Prec@5 81.500 (78.402)
Epoch: [50][5280/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 2.1814 (2.0126)	Prec@1 44.500 (47.932)	Prec@5 73.500 (78.401)
Epoch: [50][5290/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.8672 (2.0127)	Prec@1 50.500 (47.929)	Prec@5 82.000 (78.399)
Epoch: [50][5300/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 2.2286 (2.0128)	Prec@1 42.500 (47.925)	Prec@5 73.000 (78.396)
Epoch: [50][5310/9018]	Time 0.627 (0.622)	Data 0.015 (0.003)	Loss 1.9528 (2.0129)	Prec@1 50.000 (47.921)	Prec@5 79.000 (78.394)
Epoch: [50][5320/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.9417 (2.0130)	Prec@1 50.000 (47.919)	Prec@5 79.500 (78.393)
Epoch: [50][5330/9018]	Time 0.601 (0.622)	Data 0.006 (0.003)	Loss 2.1480 (2.0131)	Prec@1 49.500 (47.919)	Prec@5 75.500 (78.391)
Epoch: [50][5340/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 2.1753 (2.0131)	Prec@1 45.500 (47.918)	Prec@5 74.500 (78.392)
Epoch: [50][5350/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 2.0426 (2.0130)	Prec@1 46.500 (47.921)	Prec@5 75.500 (78.392)
Epoch: [50][5360/9018]	Time 0.633 (0.622)	Data 0.010 (0.003)	Loss 1.7592 (2.0130)	Prec@1 52.500 (47.924)	Prec@5 84.000 (78.393)
Epoch: [50][5370/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 2.0937 (2.0131)	Prec@1 45.000 (47.921)	Prec@5 78.000 (78.392)
Epoch: [50][5380/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.8670 (2.0132)	Prec@1 49.500 (47.917)	Prec@5 80.000 (78.390)
Epoch: [50][5390/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 2.0589 (2.0132)	Prec@1 45.500 (47.917)	Prec@5 79.500 (78.390)
Epoch: [50][5400/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.8858 (2.0132)	Prec@1 50.500 (47.915)	Prec@5 81.000 (78.388)
Epoch: [50][5410/9018]	Time 0.634 (0.622)	Data 0.001 (0.003)	Loss 2.1970 (2.0135)	Prec@1 45.000 (47.912)	Prec@5 73.000 (78.383)
Epoch: [50][5420/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.8435 (2.0135)	Prec@1 49.500 (47.911)	Prec@5 84.500 (78.383)
Epoch: [50][5430/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 2.0505 (2.0135)	Prec@1 47.500 (47.910)	Prec@5 79.000 (78.384)
Epoch: [50][5440/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 2.0240 (2.0135)	Prec@1 51.500 (47.910)	Prec@5 80.000 (78.385)
Epoch: [50][5450/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 2.1676 (2.0135)	Prec@1 45.500 (47.907)	Prec@5 73.000 (78.385)
Epoch: [50][5460/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.9239 (2.0135)	Prec@1 52.000 (47.910)	Prec@5 79.000 (78.387)
Epoch: [50][5470/9018]	Time 0.639 (0.622)	Data 0.017 (0.003)	Loss 2.4236 (2.0136)	Prec@1 40.000 (47.907)	Prec@5 70.500 (78.385)
Epoch: [50][5480/9018]	Time 0.751 (0.622)	Data 0.001 (0.003)	Loss 2.1430 (2.0137)	Prec@1 46.000 (47.909)	Prec@5 79.000 (78.385)
Epoch: [50][5490/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 1.9920 (2.0138)	Prec@1 47.500 (47.908)	Prec@5 76.500 (78.383)
Epoch: [50][5500/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.8569 (2.0138)	Prec@1 47.500 (47.906)	Prec@5 82.500 (78.382)
Epoch: [50][5510/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.8732 (2.0138)	Prec@1 52.500 (47.909)	Prec@5 78.000 (78.381)
Epoch: [50][5520/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.9219 (2.0138)	Prec@1 47.500 (47.911)	Prec@5 79.500 (78.381)
Epoch: [50][5530/9018]	Time 0.771 (0.622)	Data 0.014 (0.003)	Loss 2.2543 (2.0139)	Prec@1 42.500 (47.911)	Prec@5 72.500 (78.380)
Epoch: [50][5540/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 2.0164 (2.0139)	Prec@1 45.500 (47.911)	Prec@5 79.500 (78.379)
Epoch: [50][5550/9018]	Time 0.649 (0.622)	Data 0.008 (0.003)	Loss 1.9598 (2.0139)	Prec@1 47.000 (47.914)	Prec@5 77.000 (78.378)
Epoch: [50][5560/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 2.0321 (2.0139)	Prec@1 50.000 (47.915)	Prec@5 77.000 (78.376)
Epoch: [50][5570/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 2.0815 (2.0138)	Prec@1 49.500 (47.917)	Prec@5 72.500 (78.377)
Epoch: [50][5580/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.9448 (2.0137)	Prec@1 51.000 (47.922)	Prec@5 79.000 (78.378)
Epoch: [50][5590/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.8035 (2.0137)	Prec@1 55.000 (47.921)	Prec@5 83.000 (78.378)
Epoch: [50][5600/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.8979 (2.0139)	Prec@1 49.500 (47.920)	Prec@5 77.500 (78.375)
Epoch: [50][5610/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.9219 (2.0139)	Prec@1 50.000 (47.920)	Prec@5 79.000 (78.373)
Epoch: [50][5620/9018]	Time 0.594 (0.622)	Data 0.004 (0.003)	Loss 2.2104 (2.0140)	Prec@1 45.500 (47.919)	Prec@5 76.000 (78.371)
Epoch: [50][5630/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.8925 (2.0139)	Prec@1 53.000 (47.921)	Prec@5 83.000 (78.372)
Epoch: [50][5640/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.9984 (2.0138)	Prec@1 48.000 (47.924)	Prec@5 81.000 (78.375)
Epoch: [50][5650/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.9873 (2.0137)	Prec@1 47.500 (47.923)	Prec@5 79.500 (78.376)
Epoch: [50][5660/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.8786 (2.0137)	Prec@1 47.500 (47.923)	Prec@5 79.500 (78.376)
Epoch: [50][5670/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 2.1136 (2.0137)	Prec@1 47.000 (47.925)	Prec@5 77.000 (78.376)
Epoch: [50][5680/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 2.0087 (2.0136)	Prec@1 46.000 (47.927)	Prec@5 79.500 (78.376)
Epoch: [50][5690/9018]	Time 0.601 (0.622)	Data 0.016 (0.003)	Loss 1.8955 (2.0135)	Prec@1 48.500 (47.929)	Prec@5 79.500 (78.378)
Epoch: [50][5700/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.8736 (2.0135)	Prec@1 55.000 (47.931)	Prec@5 79.500 (78.379)
Epoch: [50][5710/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.9651 (2.0136)	Prec@1 49.500 (47.930)	Prec@5 82.500 (78.378)
Epoch: [50][5720/9018]	Time 0.639 (0.622)	Data 0.001 (0.003)	Loss 2.0043 (2.0135)	Prec@1 44.500 (47.932)	Prec@5 80.000 (78.379)
Epoch: [50][5730/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.6776 (2.0136)	Prec@1 50.000 (47.930)	Prec@5 83.000 (78.379)
Epoch: [50][5740/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 2.1205 (2.0136)	Prec@1 48.500 (47.932)	Prec@5 79.000 (78.379)
Epoch: [50][5750/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 2.0429 (2.0136)	Prec@1 49.000 (47.933)	Prec@5 80.500 (78.380)
Epoch: [50][5760/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7939 (2.0136)	Prec@1 55.000 (47.933)	Prec@5 83.000 (78.378)
Epoch: [50][5770/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 2.1582 (2.0137)	Prec@1 44.500 (47.931)	Prec@5 76.500 (78.377)
Epoch: [50][5780/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.7996 (2.0137)	Prec@1 55.000 (47.929)	Prec@5 81.500 (78.376)
Epoch: [50][5790/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.8708 (2.0137)	Prec@1 52.000 (47.929)	Prec@5 80.500 (78.375)
Epoch: [50][5800/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 2.1091 (2.0139)	Prec@1 46.500 (47.924)	Prec@5 75.500 (78.372)
Epoch: [50][5810/9018]	Time 0.764 (0.622)	Data 0.001 (0.003)	Loss 1.7770 (2.0139)	Prec@1 52.000 (47.925)	Prec@5 81.000 (78.373)
Epoch: [50][5820/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 2.0735 (2.0139)	Prec@1 40.500 (47.924)	Prec@5 76.500 (78.371)
Epoch: [50][5830/9018]	Time 0.634 (0.622)	Data 0.016 (0.003)	Loss 1.9422 (2.0139)	Prec@1 43.000 (47.923)	Prec@5 82.000 (78.370)
Epoch: [50][5840/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.9760 (2.0139)	Prec@1 46.500 (47.922)	Prec@5 77.000 (78.371)
Epoch: [50][5850/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 2.4360 (2.0140)	Prec@1 39.000 (47.921)	Prec@5 74.500 (78.371)
Epoch: [50][5860/9018]	Time 0.758 (0.622)	Data 0.001 (0.003)	Loss 1.9973 (2.0140)	Prec@1 46.000 (47.922)	Prec@5 79.500 (78.369)
Epoch: [50][5870/9018]	Time 0.614 (0.622)	Data 0.015 (0.003)	Loss 2.0117 (2.0141)	Prec@1 49.500 (47.921)	Prec@5 76.500 (78.365)
Epoch: [50][5880/9018]	Time 0.668 (0.622)	Data 0.001 (0.003)	Loss 1.7245 (2.0140)	Prec@1 55.000 (47.922)	Prec@5 85.000 (78.366)
Epoch: [50][5890/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 2.0944 (2.0141)	Prec@1 43.500 (47.919)	Prec@5 76.500 (78.365)
Epoch: [50][5900/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 2.1796 (2.0142)	Prec@1 44.000 (47.918)	Prec@5 75.000 (78.367)
Epoch: [50][5910/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 2.0378 (2.0142)	Prec@1 45.000 (47.917)	Prec@5 76.500 (78.366)
Epoch: [50][5920/9018]	Time 0.624 (0.622)	Data 0.005 (0.003)	Loss 2.0735 (2.0143)	Prec@1 51.500 (47.917)	Prec@5 77.500 (78.363)
Epoch: [50][5930/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 2.0761 (2.0144)	Prec@1 50.500 (47.916)	Prec@5 80.000 (78.363)
Epoch: [50][5940/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.9235 (2.0144)	Prec@1 49.000 (47.917)	Prec@5 80.000 (78.364)
Epoch: [50][5950/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 2.0680 (2.0144)	Prec@1 45.000 (47.916)	Prec@5 78.000 (78.364)
Epoch: [50][5960/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 2.2604 (2.0144)	Prec@1 45.500 (47.918)	Prec@5 74.500 (78.365)
Epoch: [50][5970/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.7781 (2.0144)	Prec@1 56.000 (47.920)	Prec@5 82.000 (78.365)
Epoch: [50][5980/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 2.1830 (2.0144)	Prec@1 46.000 (47.919)	Prec@5 75.500 (78.365)
Epoch: [50][5990/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 2.1827 (2.0146)	Prec@1 46.500 (47.915)	Prec@5 76.500 (78.362)
Epoch: [50][6000/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.9819 (2.0146)	Prec@1 44.500 (47.913)	Prec@5 81.500 (78.363)
Epoch: [50][6010/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 1.9474 (2.0147)	Prec@1 51.500 (47.914)	Prec@5 79.500 (78.361)
Epoch: [50][6020/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.9257 (2.0148)	Prec@1 48.500 (47.911)	Prec@5 79.500 (78.360)
Epoch: [50][6030/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 2.0934 (2.0148)	Prec@1 47.000 (47.908)	Prec@5 77.500 (78.361)
Epoch: [50][6040/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.9751 (2.0150)	Prec@1 51.000 (47.907)	Prec@5 80.000 (78.358)
Epoch: [50][6050/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.9561 (2.0150)	Prec@1 53.000 (47.905)	Prec@5 79.000 (78.359)
Epoch: [50][6060/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.7818 (2.0150)	Prec@1 52.000 (47.909)	Prec@5 81.500 (78.359)
Epoch: [50][6070/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.9374 (2.0150)	Prec@1 48.500 (47.907)	Prec@5 79.500 (78.359)
Epoch: [50][6080/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.8771 (2.0150)	Prec@1 48.000 (47.907)	Prec@5 81.000 (78.355)
Epoch: [50][6090/9018]	Time 0.619 (0.622)	Data 0.005 (0.003)	Loss 2.0538 (2.0151)	Prec@1 45.000 (47.906)	Prec@5 79.000 (78.354)
Epoch: [50][6100/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.9784 (2.0152)	Prec@1 49.000 (47.906)	Prec@5 78.500 (78.352)
Epoch: [50][6110/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 2.0407 (2.0153)	Prec@1 45.500 (47.905)	Prec@5 77.000 (78.352)
Epoch: [50][6120/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 2.0687 (2.0154)	Prec@1 48.500 (47.904)	Prec@5 79.000 (78.349)
Epoch: [50][6130/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 2.0676 (2.0155)	Prec@1 45.500 (47.902)	Prec@5 78.000 (78.349)
Epoch: [50][6140/9018]	Time 0.765 (0.622)	Data 0.001 (0.003)	Loss 2.0986 (2.0155)	Prec@1 51.000 (47.903)	Prec@5 74.000 (78.348)
Epoch: [50][6150/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.8807 (2.0156)	Prec@1 52.500 (47.901)	Prec@5 78.500 (78.346)
Epoch: [50][6160/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 2.0197 (2.0156)	Prec@1 49.000 (47.900)	Prec@5 77.000 (78.344)
Epoch: [50][6170/9018]	Time 0.636 (0.622)	Data 0.001 (0.003)	Loss 1.9431 (2.0156)	Prec@1 49.500 (47.898)	Prec@5 80.000 (78.343)
Epoch: [50][6180/9018]	Time 0.609 (0.622)	Data 0.006 (0.003)	Loss 1.9969 (2.0156)	Prec@1 53.500 (47.899)	Prec@5 79.500 (78.343)
Epoch: [50][6190/9018]	Time 0.761 (0.622)	Data 0.001 (0.003)	Loss 2.0259 (2.0157)	Prec@1 49.000 (47.899)	Prec@5 77.000 (78.341)
Epoch: [50][6200/9018]	Time 0.591 (0.622)	Data 0.015 (0.003)	Loss 1.8837 (2.0156)	Prec@1 46.000 (47.897)	Prec@5 81.500 (78.341)
Epoch: [50][6210/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.9841 (2.0156)	Prec@1 50.000 (47.898)	Prec@5 78.500 (78.342)
Epoch: [50][6220/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.9185 (2.0155)	Prec@1 48.500 (47.901)	Prec@5 75.500 (78.344)
Epoch: [50][6230/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.9615 (2.0156)	Prec@1 54.500 (47.902)	Prec@5 77.000 (78.344)
Epoch: [50][6240/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 2.1220 (2.0157)	Prec@1 45.000 (47.898)	Prec@5 76.500 (78.345)
Epoch: [50][6250/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.9538 (2.0157)	Prec@1 50.500 (47.898)	Prec@5 78.500 (78.343)
Epoch: [50][6260/9018]	Time 0.631 (0.622)	Data 0.016 (0.003)	Loss 2.0047 (2.0157)	Prec@1 51.000 (47.900)	Prec@5 76.500 (78.342)
Epoch: [50][6270/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 2.1190 (2.0156)	Prec@1 45.500 (47.901)	Prec@5 77.000 (78.344)
Epoch: [50][6280/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.9005 (2.0158)	Prec@1 49.000 (47.900)	Prec@5 78.500 (78.342)
Epoch: [50][6290/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.9044 (2.0157)	Prec@1 52.000 (47.901)	Prec@5 81.500 (78.341)
Epoch: [50][6300/9018]	Time 0.613 (0.622)	Data 0.013 (0.003)	Loss 1.9317 (2.0157)	Prec@1 49.500 (47.903)	Prec@5 80.000 (78.340)
Epoch: [50][6310/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 2.3978 (2.0158)	Prec@1 40.000 (47.901)	Prec@5 70.000 (78.337)
Epoch: [50][6320/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.9705 (2.0158)	Prec@1 48.500 (47.900)	Prec@5 78.000 (78.337)
Epoch: [50][6330/9018]	Time 0.602 (0.622)	Data 0.016 (0.003)	Loss 1.9664 (2.0159)	Prec@1 46.000 (47.899)	Prec@5 76.500 (78.337)
Epoch: [50][6340/9018]	Time 0.633 (0.622)	Data 0.008 (0.003)	Loss 1.8364 (2.0159)	Prec@1 53.000 (47.901)	Prec@5 79.500 (78.335)
Epoch: [50][6350/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.9136 (2.0159)	Prec@1 54.000 (47.900)	Prec@5 78.500 (78.333)
Epoch: [50][6360/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 2.0225 (2.0160)	Prec@1 50.500 (47.899)	Prec@5 78.000 (78.331)
Epoch: [50][6370/9018]	Time 0.593 (0.622)	Data 0.003 (0.003)	Loss 2.2326 (2.0160)	Prec@1 43.000 (47.896)	Prec@5 73.000 (78.329)
Epoch: [50][6380/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 2.0302 (2.0160)	Prec@1 48.500 (47.897)	Prec@5 76.500 (78.330)
Epoch: [50][6390/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.7567 (2.0159)	Prec@1 54.500 (47.900)	Prec@5 84.500 (78.332)
Epoch: [50][6400/9018]	Time 0.626 (0.622)	Data 0.015 (0.003)	Loss 1.9673 (2.0160)	Prec@1 45.000 (47.898)	Prec@5 76.500 (78.329)
Epoch: [50][6410/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.9670 (2.0160)	Prec@1 47.500 (47.897)	Prec@5 81.000 (78.328)
Epoch: [50][6420/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 2.1546 (2.0162)	Prec@1 46.000 (47.896)	Prec@5 73.000 (78.326)
Epoch: [50][6430/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 2.0640 (2.0162)	Prec@1 51.000 (47.895)	Prec@5 76.000 (78.326)
Epoch: [50][6440/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.9997 (2.0161)	Prec@1 53.000 (47.900)	Prec@5 80.000 (78.326)
Epoch: [50][6450/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.8015 (2.0161)	Prec@1 57.000 (47.903)	Prec@5 81.500 (78.327)
Epoch: [50][6460/9018]	Time 0.621 (0.622)	Data 0.014 (0.003)	Loss 1.9477 (2.0161)	Prec@1 50.000 (47.903)	Prec@5 80.500 (78.326)
Epoch: [50][6470/9018]	Time 0.739 (0.622)	Data 0.001 (0.003)	Loss 1.9389 (2.0161)	Prec@1 45.500 (47.905)	Prec@5 83.000 (78.327)
Epoch: [50][6480/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.9630 (2.0161)	Prec@1 48.000 (47.903)	Prec@5 80.000 (78.326)
Epoch: [50][6490/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.9674 (2.0161)	Prec@1 43.500 (47.903)	Prec@5 75.000 (78.326)
Epoch: [50][6500/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 2.0045 (2.0162)	Prec@1 50.500 (47.903)	Prec@5 77.500 (78.324)
Epoch: [50][6510/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 2.1351 (2.0162)	Prec@1 46.000 (47.904)	Prec@5 76.000 (78.321)
Epoch: [50][6520/9018]	Time 0.764 (0.622)	Data 0.016 (0.003)	Loss 1.8239 (2.0162)	Prec@1 54.000 (47.906)	Prec@5 81.000 (78.320)
Epoch: [50][6530/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 2.1256 (2.0164)	Prec@1 44.000 (47.900)	Prec@5 78.500 (78.317)
Epoch: [50][6540/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.7916 (2.0164)	Prec@1 50.500 (47.902)	Prec@5 83.000 (78.318)
Epoch: [50][6550/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.9091 (2.0164)	Prec@1 52.000 (47.900)	Prec@5 81.000 (78.317)
Epoch: [50][6560/9018]	Time 0.646 (0.622)	Data 0.001 (0.003)	Loss 1.9129 (2.0164)	Prec@1 52.000 (47.901)	Prec@5 80.000 (78.317)
Epoch: [50][6570/9018]	Time 0.595 (0.622)	Data 0.015 (0.003)	Loss 2.0909 (2.0164)	Prec@1 44.500 (47.899)	Prec@5 76.000 (78.318)
Epoch: [50][6580/9018]	Time 0.627 (0.622)	Data 0.016 (0.003)	Loss 2.0201 (2.0163)	Prec@1 46.500 (47.902)	Prec@5 75.500 (78.320)
Epoch: [50][6590/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 2.0770 (2.0165)	Prec@1 44.500 (47.900)	Prec@5 77.000 (78.316)
Epoch: [50][6600/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.8526 (2.0165)	Prec@1 52.500 (47.898)	Prec@5 80.500 (78.315)
Epoch: [50][6610/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 2.1893 (2.0166)	Prec@1 44.000 (47.897)	Prec@5 76.500 (78.315)
Epoch: [50][6620/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.8955 (2.0166)	Prec@1 49.500 (47.896)	Prec@5 79.500 (78.314)
Epoch: [50][6630/9018]	Time 0.644 (0.622)	Data 0.005 (0.003)	Loss 2.0006 (2.0166)	Prec@1 51.000 (47.897)	Prec@5 76.500 (78.313)
Epoch: [50][6640/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 2.1059 (2.0167)	Prec@1 45.500 (47.896)	Prec@5 73.500 (78.310)
Epoch: [50][6650/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.9351 (2.0168)	Prec@1 51.000 (47.894)	Prec@5 80.000 (78.309)
Epoch: [50][6660/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.8368 (2.0168)	Prec@1 51.500 (47.895)	Prec@5 79.500 (78.307)
Epoch: [50][6670/9018]	Time 0.632 (0.622)	Data 0.001 (0.003)	Loss 2.1368 (2.0168)	Prec@1 47.000 (47.893)	Prec@5 77.500 (78.307)
Epoch: [50][6680/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 2.0526 (2.0169)	Prec@1 43.000 (47.891)	Prec@5 80.500 (78.306)
Epoch: [50][6690/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.9026 (2.0168)	Prec@1 52.500 (47.893)	Prec@5 79.500 (78.308)
Epoch: [50][6700/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 2.1014 (2.0168)	Prec@1 50.500 (47.894)	Prec@5 75.500 (78.310)
Epoch: [50][6710/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 2.0029 (2.0169)	Prec@1 48.000 (47.891)	Prec@5 77.500 (78.308)
Epoch: [50][6720/9018]	Time 0.611 (0.622)	Data 0.003 (0.003)	Loss 1.7681 (2.0168)	Prec@1 57.500 (47.893)	Prec@5 81.000 (78.309)
Epoch: [50][6730/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 2.2749 (2.0169)	Prec@1 37.000 (47.891)	Prec@5 71.500 (78.306)
Epoch: [50][6740/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 2.1368 (2.0169)	Prec@1 50.000 (47.893)	Prec@5 74.000 (78.304)
Epoch: [50][6750/9018]	Time 0.786 (0.622)	Data 0.001 (0.003)	Loss 2.0445 (2.0169)	Prec@1 47.500 (47.892)	Prec@5 78.000 (78.305)
Epoch: [50][6760/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 2.0061 (2.0169)	Prec@1 47.500 (47.890)	Prec@5 78.000 (78.306)
Epoch: [50][6770/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 2.1583 (2.0169)	Prec@1 43.000 (47.889)	Prec@5 77.000 (78.306)
Epoch: [50][6780/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 2.2542 (2.0170)	Prec@1 43.500 (47.887)	Prec@5 70.500 (78.304)
Epoch: [50][6790/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.8211 (2.0170)	Prec@1 46.500 (47.886)	Prec@5 82.500 (78.303)
Epoch: [50][6800/9018]	Time 0.749 (0.622)	Data 0.001 (0.003)	Loss 2.1902 (2.0170)	Prec@1 45.000 (47.885)	Prec@5 73.000 (78.305)
Epoch: [50][6810/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.9546 (2.0170)	Prec@1 46.500 (47.884)	Prec@5 77.500 (78.305)
Epoch: [50][6820/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 2.0322 (2.0170)	Prec@1 45.000 (47.884)	Prec@5 81.500 (78.307)
Epoch: [50][6830/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 2.0631 (2.0170)	Prec@1 46.500 (47.885)	Prec@5 78.000 (78.309)
Epoch: [50][6840/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 2.1338 (2.0171)	Prec@1 41.500 (47.883)	Prec@5 78.000 (78.310)
Epoch: [50][6850/9018]	Time 0.627 (0.622)	Data 0.009 (0.003)	Loss 1.9169 (2.0171)	Prec@1 51.500 (47.882)	Prec@5 80.500 (78.310)
Epoch: [50][6860/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 2.0756 (2.0171)	Prec@1 48.000 (47.881)	Prec@5 78.500 (78.310)
Epoch: [50][6870/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.8110 (2.0170)	Prec@1 51.000 (47.882)	Prec@5 82.000 (78.311)
Epoch: [50][6880/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.8693 (2.0170)	Prec@1 51.500 (47.881)	Prec@5 82.000 (78.312)
Epoch: [50][6890/9018]	Time 0.648 (0.622)	Data 0.001 (0.003)	Loss 2.0244 (2.0170)	Prec@1 49.000 (47.881)	Prec@5 78.000 (78.312)
Epoch: [50][6900/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.8963 (2.0170)	Prec@1 55.000 (47.882)	Prec@5 78.500 (78.311)
Epoch: [50][6910/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.9694 (2.0170)	Prec@1 51.000 (47.881)	Prec@5 78.000 (78.311)
Epoch: [50][6920/9018]	Time 0.620 (0.622)	Data 0.014 (0.003)	Loss 1.9042 (2.0170)	Prec@1 50.000 (47.881)	Prec@5 80.000 (78.312)
Epoch: [50][6930/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8534 (2.0170)	Prec@1 54.500 (47.880)	Prec@5 82.500 (78.313)
Epoch: [50][6940/9018]	Time 0.607 (0.622)	Data 0.004 (0.003)	Loss 2.2105 (2.0172)	Prec@1 45.000 (47.878)	Prec@5 72.000 (78.309)
Epoch: [50][6950/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 2.2667 (2.0172)	Prec@1 38.000 (47.877)	Prec@5 72.500 (78.308)
Epoch: [50][6960/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 2.1036 (2.0172)	Prec@1 45.000 (47.874)	Prec@5 78.500 (78.308)
Epoch: [50][6970/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.8877 (2.0172)	Prec@1 48.000 (47.873)	Prec@5 82.500 (78.306)
Epoch: [50][6980/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 2.0777 (2.0173)	Prec@1 49.500 (47.873)	Prec@5 81.000 (78.305)
Epoch: [50][6990/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 2.1266 (2.0174)	Prec@1 48.500 (47.872)	Prec@5 78.000 (78.303)
Epoch: [50][7000/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.9916 (2.0175)	Prec@1 50.000 (47.869)	Prec@5 79.500 (78.301)
Epoch: [50][7010/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 2.0025 (2.0175)	Prec@1 45.500 (47.868)	Prec@5 78.000 (78.299)
Epoch: [50][7020/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7810 (2.0176)	Prec@1 54.000 (47.866)	Prec@5 80.000 (78.297)
Epoch: [50][7030/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 2.1887 (2.0177)	Prec@1 44.000 (47.864)	Prec@5 79.000 (78.294)
Epoch: [50][7040/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 2.2230 (2.0178)	Prec@1 43.000 (47.862)	Prec@5 74.500 (78.293)
Epoch: [50][7050/9018]	Time 0.635 (0.622)	Data 0.016 (0.003)	Loss 1.7092 (2.0178)	Prec@1 53.500 (47.860)	Prec@5 84.000 (78.293)
Epoch: [50][7060/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 2.0838 (2.0179)	Prec@1 48.000 (47.858)	Prec@5 79.000 (78.292)
Epoch: [50][7070/9018]	Time 0.616 (0.622)	Data 0.013 (0.003)	Loss 2.1989 (2.0179)	Prec@1 45.500 (47.859)	Prec@5 72.000 (78.290)
Epoch: [50][7080/9018]	Time 0.785 (0.622)	Data 0.001 (0.003)	Loss 2.0378 (2.0180)	Prec@1 46.000 (47.857)	Prec@5 79.000 (78.289)
Epoch: [50][7090/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 2.2121 (2.0179)	Prec@1 42.000 (47.858)	Prec@5 75.000 (78.290)
Epoch: [50][7100/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.9591 (2.0179)	Prec@1 52.000 (47.857)	Prec@5 79.000 (78.290)
Epoch: [50][7110/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.8527 (2.0180)	Prec@1 45.000 (47.855)	Prec@5 81.000 (78.289)
Epoch: [50][7120/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 2.0335 (2.0180)	Prec@1 52.000 (47.855)	Prec@5 81.000 (78.290)
Epoch: [50][7130/9018]	Time 0.751 (0.622)	Data 0.001 (0.003)	Loss 1.9801 (2.0181)	Prec@1 46.500 (47.851)	Prec@5 80.500 (78.289)
Epoch: [50][7140/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 2.0854 (2.0182)	Prec@1 47.500 (47.851)	Prec@5 74.500 (78.286)
Epoch: [50][7150/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.9058 (2.0182)	Prec@1 49.000 (47.850)	Prec@5 78.000 (78.284)
Epoch: [50][7160/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 2.2186 (2.0183)	Prec@1 46.500 (47.847)	Prec@5 72.500 (78.282)
Epoch: [50][7170/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 2.0538 (2.0183)	Prec@1 48.000 (47.848)	Prec@5 74.500 (78.282)
Epoch: [50][7180/9018]	Time 0.652 (0.622)	Data 0.013 (0.003)	Loss 2.1569 (2.0184)	Prec@1 45.000 (47.846)	Prec@5 76.500 (78.280)
Epoch: [50][7190/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 2.2374 (2.0185)	Prec@1 45.000 (47.845)	Prec@5 79.000 (78.280)
Epoch: [50][7200/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 2.1247 (2.0187)	Prec@1 46.500 (47.841)	Prec@5 78.000 (78.277)
Epoch: [50][7210/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 2.0120 (2.0188)	Prec@1 51.000 (47.840)	Prec@5 78.500 (78.276)
Epoch: [50][7220/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.9159 (2.0188)	Prec@1 48.500 (47.840)	Prec@5 83.500 (78.277)
Epoch: [50][7230/9018]	Time 0.621 (0.622)	Data 0.015 (0.003)	Loss 2.0767 (2.0188)	Prec@1 46.000 (47.837)	Prec@5 77.500 (78.277)
Epoch: [50][7240/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.9059 (2.0189)	Prec@1 54.500 (47.838)	Prec@5 81.000 (78.275)
Epoch: [50][7250/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 2.1951 (2.0189)	Prec@1 47.500 (47.837)	Prec@5 74.500 (78.276)
Epoch: [50][7260/9018]	Time 0.614 (0.622)	Data 0.013 (0.003)	Loss 1.8007 (2.0189)	Prec@1 52.000 (47.839)	Prec@5 80.500 (78.276)
Epoch: [50][7270/9018]	Time 0.640 (0.622)	Data 0.001 (0.003)	Loss 1.9816 (2.0189)	Prec@1 48.500 (47.840)	Prec@5 77.000 (78.276)
Epoch: [50][7280/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 2.1941 (2.0189)	Prec@1 43.000 (47.839)	Prec@5 74.500 (78.275)
Epoch: [50][7290/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.9136 (2.0188)	Prec@1 52.000 (47.842)	Prec@5 82.500 (78.278)
Epoch: [50][7300/9018]	Time 0.653 (0.622)	Data 0.001 (0.003)	Loss 2.2123 (2.0188)	Prec@1 44.500 (47.843)	Prec@5 74.000 (78.277)
Epoch: [50][7310/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.9988 (2.0187)	Prec@1 49.000 (47.844)	Prec@5 77.500 (78.280)
Epoch: [50][7320/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7631 (2.0186)	Prec@1 55.000 (47.847)	Prec@5 82.000 (78.283)
Epoch: [50][7330/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.7331 (2.0186)	Prec@1 50.500 (47.848)	Prec@5 83.000 (78.283)
Epoch: [50][7340/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.9916 (2.0186)	Prec@1 51.000 (47.848)	Prec@5 79.500 (78.282)
Epoch: [50][7350/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.8691 (2.0186)	Prec@1 47.000 (47.847)	Prec@5 82.000 (78.282)
Epoch: [50][7360/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 2.1095 (2.0187)	Prec@1 48.000 (47.845)	Prec@5 76.500 (78.280)
Epoch: [50][7370/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 2.2233 (2.0187)	Prec@1 43.500 (47.845)	Prec@5 78.000 (78.280)
Epoch: [50][7380/9018]	Time 0.611 (0.622)	Data 0.015 (0.003)	Loss 2.0506 (2.0187)	Prec@1 51.000 (47.845)	Prec@5 77.500 (78.278)
Epoch: [50][7390/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 2.1867 (2.0187)	Prec@1 46.500 (47.844)	Prec@5 77.000 (78.280)
Epoch: [50][7400/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.9963 (2.0188)	Prec@1 45.000 (47.843)	Prec@5 79.000 (78.279)
Epoch: [50][7410/9018]	Time 0.809 (0.622)	Data 0.014 (0.003)	Loss 2.0895 (2.0189)	Prec@1 46.500 (47.841)	Prec@5 74.000 (78.276)
Epoch: [50][7420/9018]	Time 0.619 (0.622)	Data 0.017 (0.003)	Loss 1.9298 (2.0189)	Prec@1 51.000 (47.840)	Prec@5 79.000 (78.276)
Epoch: [50][7430/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.7396 (2.0188)	Prec@1 57.000 (47.844)	Prec@5 85.000 (78.278)
Epoch: [50][7440/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 2.0803 (2.0188)	Prec@1 45.000 (47.846)	Prec@5 76.500 (78.279)
Epoch: [50][7450/9018]	Time 0.621 (0.622)	Data 0.016 (0.003)	Loss 2.1585 (2.0189)	Prec@1 45.000 (47.845)	Prec@5 79.000 (78.279)
Epoch: [50][7460/9018]	Time 0.749 (0.622)	Data 0.001 (0.003)	Loss 1.8229 (2.0188)	Prec@1 47.000 (47.846)	Prec@5 79.500 (78.279)
Epoch: [50][7470/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 2.1787 (2.0188)	Prec@1 46.500 (47.846)	Prec@5 72.500 (78.278)
Epoch: [50][7480/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 2.1745 (2.0189)	Prec@1 45.000 (47.844)	Prec@5 78.500 (78.275)
Epoch: [50][7490/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 2.0105 (2.0190)	Prec@1 52.000 (47.843)	Prec@5 77.500 (78.275)
Epoch: [50][7500/9018]	Time 0.597 (0.622)	Data 0.012 (0.003)	Loss 2.1402 (2.0190)	Prec@1 44.500 (47.841)	Prec@5 77.500 (78.274)
Epoch: [50][7510/9018]	Time 0.635 (0.622)	Data 0.001 (0.003)	Loss 2.0675 (2.0191)	Prec@1 48.000 (47.839)	Prec@5 76.500 (78.272)
Epoch: [50][7520/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 2.2817 (2.0192)	Prec@1 43.000 (47.839)	Prec@5 75.000 (78.270)
Epoch: [50][7530/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 2.1934 (2.0193)	Prec@1 41.500 (47.836)	Prec@5 76.000 (78.271)
Epoch: [50][7540/9018]	Time 0.635 (0.622)	Data 0.005 (0.003)	Loss 2.0977 (2.0194)	Prec@1 45.500 (47.834)	Prec@5 81.000 (78.268)
Epoch: [50][7550/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.8684 (2.0195)	Prec@1 50.000 (47.833)	Prec@5 80.500 (78.267)
Epoch: [50][7560/9018]	Time 0.636 (0.622)	Data 0.001 (0.003)	Loss 1.9461 (2.0196)	Prec@1 49.500 (47.832)	Prec@5 78.000 (78.265)
Epoch: [50][7570/9018]	Time 0.623 (0.622)	Data 0.014 (0.003)	Loss 1.9141 (2.0196)	Prec@1 50.500 (47.832)	Prec@5 81.000 (78.264)
Epoch: [50][7580/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 2.0406 (2.0196)	Prec@1 45.500 (47.833)	Prec@5 73.000 (78.264)
Epoch: [50][7590/9018]	Time 0.616 (0.622)	Data 0.017 (0.003)	Loss 1.8945 (2.0196)	Prec@1 53.500 (47.834)	Prec@5 82.000 (78.264)
Epoch: [50][7600/9018]	Time 0.642 (0.622)	Data 0.001 (0.003)	Loss 1.8813 (2.0196)	Prec@1 44.000 (47.832)	Prec@5 86.000 (78.266)
Epoch: [50][7610/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 2.1232 (2.0196)	Prec@1 49.000 (47.832)	Prec@5 76.000 (78.265)
Epoch: [50][7620/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.9901 (2.0196)	Prec@1 47.500 (47.832)	Prec@5 83.000 (78.266)
Epoch: [50][7630/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 2.1899 (2.0196)	Prec@1 42.500 (47.833)	Prec@5 75.000 (78.266)
Epoch: [50][7640/9018]	Time 0.621 (0.622)	Data 0.007 (0.003)	Loss 1.9115 (2.0196)	Prec@1 52.000 (47.832)	Prec@5 77.000 (78.266)
Epoch: [50][7650/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 2.0567 (2.0196)	Prec@1 48.500 (47.832)	Prec@5 76.000 (78.265)
Epoch: [50][7660/9018]	Time 0.644 (0.622)	Data 0.013 (0.003)	Loss 2.1319 (2.0197)	Prec@1 47.500 (47.830)	Prec@5 78.500 (78.264)
Epoch: [50][7670/9018]	Time 0.632 (0.622)	Data 0.001 (0.003)	Loss 2.0501 (2.0197)	Prec@1 48.500 (47.830)	Prec@5 78.000 (78.264)
Epoch: [50][7680/9018]	Time 0.628 (0.622)	Data 0.015 (0.003)	Loss 1.9799 (2.0197)	Prec@1 48.500 (47.830)	Prec@5 78.500 (78.264)
Epoch: [50][7690/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.9470 (2.0196)	Prec@1 47.000 (47.832)	Prec@5 81.000 (78.266)
Epoch: [50][7700/9018]	Time 0.612 (0.622)	Data 0.003 (0.003)	Loss 1.9407 (2.0196)	Prec@1 53.500 (47.832)	Prec@5 78.500 (78.265)
Epoch: [50][7710/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.9036 (2.0197)	Prec@1 51.000 (47.830)	Prec@5 78.500 (78.263)
Epoch: [50][7720/9018]	Time 0.651 (0.622)	Data 0.002 (0.003)	Loss 1.9646 (2.0197)	Prec@1 44.500 (47.831)	Prec@5 81.500 (78.261)
Epoch: [50][7730/9018]	Time 0.614 (0.622)	Data 0.016 (0.003)	Loss 2.1265 (2.0198)	Prec@1 44.500 (47.829)	Prec@5 79.500 (78.259)
Epoch: [50][7740/9018]	Time 0.797 (0.622)	Data 0.009 (0.003)	Loss 2.1754 (2.0198)	Prec@1 46.500 (47.831)	Prec@5 76.500 (78.261)
Epoch: [50][7750/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.9618 (2.0198)	Prec@1 52.000 (47.832)	Prec@5 78.500 (78.260)
Epoch: [50][7760/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 2.3198 (2.0199)	Prec@1 44.000 (47.830)	Prec@5 72.000 (78.258)
Epoch: [50][7770/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 2.0266 (2.0200)	Prec@1 46.500 (47.827)	Prec@5 76.500 (78.256)
Epoch: [50][7780/9018]	Time 0.596 (0.622)	Data 0.014 (0.003)	Loss 1.9423 (2.0200)	Prec@1 49.500 (47.828)	Prec@5 82.000 (78.255)
Epoch: [50][7790/9018]	Time 0.779 (0.622)	Data 0.001 (0.003)	Loss 1.8191 (2.0200)	Prec@1 55.500 (47.830)	Prec@5 79.500 (78.256)
Epoch: [50][7800/9018]	Time 0.628 (0.622)	Data 0.003 (0.003)	Loss 2.0873 (2.0200)	Prec@1 47.500 (47.830)	Prec@5 75.500 (78.256)
Epoch: [50][7810/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.9356 (2.0201)	Prec@1 50.000 (47.827)	Prec@5 80.000 (78.256)
Epoch: [50][7820/9018]	Time 0.638 (0.622)	Data 0.001 (0.003)	Loss 2.2301 (2.0202)	Prec@1 40.000 (47.825)	Prec@5 72.500 (78.254)
Epoch: [50][7830/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 2.1313 (2.0203)	Prec@1 44.500 (47.823)	Prec@5 76.500 (78.253)
Epoch: [50][7840/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.8589 (2.0202)	Prec@1 49.500 (47.823)	Prec@5 80.000 (78.253)
Epoch: [50][7850/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 2.1019 (2.0202)	Prec@1 47.500 (47.823)	Prec@5 75.000 (78.253)
Epoch: [50][7860/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.9690 (2.0202)	Prec@1 50.000 (47.822)	Prec@5 80.500 (78.253)
Epoch: [50][7870/9018]	Time 0.661 (0.622)	Data 0.001 (0.003)	Loss 1.9749 (2.0203)	Prec@1 50.500 (47.822)	Prec@5 78.500 (78.253)
Epoch: [50][7880/9018]	Time 0.609 (0.622)	Data 0.006 (0.003)	Loss 2.1044 (2.0202)	Prec@1 47.500 (47.822)	Prec@5 73.500 (78.254)
Epoch: [50][7890/9018]	Time 0.651 (0.623)	Data 0.001 (0.003)	Loss 2.0806 (2.0201)	Prec@1 47.500 (47.824)	Prec@5 77.500 (78.257)
Epoch: [50][7900/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.9784 (2.0201)	Prec@1 45.500 (47.823)	Prec@5 78.500 (78.257)
Epoch: [50][7910/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 2.2162 (2.0202)	Prec@1 44.000 (47.820)	Prec@5 75.000 (78.257)
Epoch: [50][7920/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.9560 (2.0202)	Prec@1 51.000 (47.819)	Prec@5 79.500 (78.256)
Epoch: [50][7930/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.9983 (2.0202)	Prec@1 49.500 (47.819)	Prec@5 80.000 (78.257)
Epoch: [50][7940/9018]	Time 0.602 (0.623)	Data 0.006 (0.003)	Loss 2.0686 (2.0202)	Prec@1 49.000 (47.820)	Prec@5 76.000 (78.257)
Epoch: [50][7950/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.9902 (2.0201)	Prec@1 45.500 (47.823)	Prec@5 83.500 (78.259)
Epoch: [50][7960/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.9713 (2.0201)	Prec@1 51.000 (47.824)	Prec@5 78.000 (78.259)
Epoch: [50][7970/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 2.1881 (2.0201)	Prec@1 45.500 (47.823)	Prec@5 77.000 (78.259)
Epoch: [50][7980/9018]	Time 0.628 (0.623)	Data 0.014 (0.003)	Loss 1.9910 (2.0202)	Prec@1 49.000 (47.821)	Prec@5 81.000 (78.258)
Epoch: [50][7990/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 2.0543 (2.0201)	Prec@1 41.500 (47.821)	Prec@5 79.000 (78.260)
Epoch: [50][8000/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.9331 (2.0200)	Prec@1 51.500 (47.825)	Prec@5 77.500 (78.258)
Epoch: [50][8010/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8837 (2.0201)	Prec@1 49.500 (47.825)	Prec@5 78.500 (78.257)
Epoch: [50][8020/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7227 (2.0201)	Prec@1 54.500 (47.824)	Prec@5 83.000 (78.257)
Epoch: [50][8030/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 2.0831 (2.0201)	Prec@1 44.000 (47.825)	Prec@5 76.500 (78.256)
Epoch: [50][8040/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 2.1422 (2.0201)	Prec@1 47.000 (47.823)	Prec@5 75.000 (78.255)
Epoch: [50][8050/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.9049 (2.0201)	Prec@1 53.000 (47.826)	Prec@5 82.000 (78.254)
Epoch: [50][8060/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 2.3248 (2.0202)	Prec@1 39.000 (47.825)	Prec@5 75.000 (78.253)
Epoch: [50][8070/9018]	Time 0.759 (0.623)	Data 0.001 (0.003)	Loss 2.0198 (2.0202)	Prec@1 50.000 (47.823)	Prec@5 76.000 (78.252)
Epoch: [50][8080/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 2.0407 (2.0202)	Prec@1 50.000 (47.827)	Prec@5 78.000 (78.253)
Epoch: [50][8090/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 2.0414 (2.0202)	Prec@1 48.000 (47.828)	Prec@5 77.000 (78.253)
Epoch: [50][8100/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 2.2103 (2.0201)	Prec@1 43.500 (47.828)	Prec@5 77.000 (78.253)
Epoch: [50][8110/9018]	Time 0.611 (0.623)	Data 0.017 (0.003)	Loss 2.1306 (2.0203)	Prec@1 45.000 (47.826)	Prec@5 76.500 (78.250)
Epoch: [50][8120/9018]	Time 0.752 (0.623)	Data 0.001 (0.003)	Loss 2.1130 (2.0203)	Prec@1 48.000 (47.826)	Prec@5 79.000 (78.249)
Epoch: [50][8130/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 2.1550 (2.0203)	Prec@1 43.000 (47.823)	Prec@5 79.000 (78.249)
Epoch: [50][8140/9018]	Time 0.650 (0.623)	Data 0.001 (0.003)	Loss 2.0272 (2.0204)	Prec@1 48.000 (47.822)	Prec@5 77.500 (78.248)
Epoch: [50][8150/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 2.0373 (2.0204)	Prec@1 47.000 (47.821)	Prec@5 80.000 (78.248)
Epoch: [50][8160/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.8932 (2.0204)	Prec@1 50.500 (47.820)	Prec@5 84.000 (78.248)
Epoch: [50][8170/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.9387 (2.0204)	Prec@1 47.500 (47.822)	Prec@5 81.000 (78.248)
Epoch: [50][8180/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 2.1473 (2.0204)	Prec@1 49.500 (47.821)	Prec@5 78.500 (78.246)
Epoch: [50][8190/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 2.0251 (2.0206)	Prec@1 44.000 (47.817)	Prec@5 76.000 (78.244)
Epoch: [50][8200/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 2.2109 (2.0206)	Prec@1 42.000 (47.817)	Prec@5 76.500 (78.244)
Epoch: [50][8210/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 2.0518 (2.0206)	Prec@1 48.000 (47.818)	Prec@5 79.500 (78.245)
Epoch: [50][8220/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 2.0415 (2.0206)	Prec@1 50.000 (47.820)	Prec@5 79.000 (78.245)
Epoch: [50][8230/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.9533 (2.0206)	Prec@1 49.000 (47.819)	Prec@5 85.500 (78.244)
Epoch: [50][8240/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 2.0090 (2.0206)	Prec@1 45.500 (47.820)	Prec@5 82.000 (78.244)
Epoch: [50][8250/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 2.1841 (2.0207)	Prec@1 43.000 (47.820)	Prec@5 73.500 (78.242)
Epoch: [50][8260/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 2.0071 (2.0206)	Prec@1 48.500 (47.821)	Prec@5 78.500 (78.243)
Epoch: [50][8270/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 2.0867 (2.0207)	Prec@1 51.000 (47.822)	Prec@5 74.500 (78.241)
Epoch: [50][8280/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.9470 (2.0207)	Prec@1 44.500 (47.820)	Prec@5 79.500 (78.242)
Epoch: [50][8290/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.9186 (2.0207)	Prec@1 45.500 (47.820)	Prec@5 81.000 (78.243)
Epoch: [50][8300/9018]	Time 0.656 (0.623)	Data 0.015 (0.003)	Loss 2.4901 (2.0207)	Prec@1 37.500 (47.819)	Prec@5 73.500 (78.243)
Epoch: [50][8310/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.9765 (2.0208)	Prec@1 45.500 (47.818)	Prec@5 76.500 (78.240)
Epoch: [50][8320/9018]	Time 0.625 (0.623)	Data 0.002 (0.003)	Loss 1.9818 (2.0208)	Prec@1 56.000 (47.819)	Prec@5 78.500 (78.240)
Epoch: [50][8330/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 2.3707 (2.0209)	Prec@1 39.500 (47.817)	Prec@5 76.000 (78.240)
Epoch: [50][8340/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.9036 (2.0209)	Prec@1 51.500 (47.815)	Prec@5 79.500 (78.239)
Epoch: [50][8350/9018]	Time 0.615 (0.623)	Data 0.014 (0.003)	Loss 2.4155 (2.0211)	Prec@1 41.500 (47.812)	Prec@5 69.000 (78.237)
Epoch: [50][8360/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.9278 (2.0211)	Prec@1 51.500 (47.813)	Prec@5 81.000 (78.238)
Epoch: [50][8370/9018]	Time 0.650 (0.623)	Data 0.001 (0.003)	Loss 2.0114 (2.0210)	Prec@1 44.500 (47.813)	Prec@5 76.500 (78.238)
Epoch: [50][8380/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.9402 (2.0211)	Prec@1 50.000 (47.813)	Prec@5 77.000 (78.238)
Epoch: [50][8390/9018]	Time 0.603 (0.623)	Data 0.009 (0.003)	Loss 2.0200 (2.0210)	Prec@1 47.500 (47.815)	Prec@5 78.000 (78.238)
Epoch: [50][8400/9018]	Time 0.755 (0.623)	Data 0.003 (0.003)	Loss 1.8660 (2.0210)	Prec@1 47.000 (47.816)	Prec@5 82.000 (78.239)
Epoch: [50][8410/9018]	Time 0.648 (0.623)	Data 0.003 (0.003)	Loss 2.0652 (2.0210)	Prec@1 49.500 (47.817)	Prec@5 72.500 (78.239)
Epoch: [50][8420/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8803 (2.0210)	Prec@1 52.000 (47.818)	Prec@5 77.000 (78.239)
Epoch: [50][8430/9018]	Time 0.631 (0.623)	Data 0.017 (0.003)	Loss 2.3254 (2.0211)	Prec@1 48.000 (47.819)	Prec@5 71.500 (78.237)
Epoch: [50][8440/9018]	Time 0.654 (0.623)	Data 0.001 (0.003)	Loss 2.0453 (2.0211)	Prec@1 52.000 (47.818)	Prec@5 78.500 (78.238)
Epoch: [50][8450/9018]	Time 0.767 (0.623)	Data 0.001 (0.003)	Loss 2.1676 (2.0211)	Prec@1 44.500 (47.819)	Prec@5 77.000 (78.238)
Epoch: [50][8460/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8505 (2.0211)	Prec@1 53.000 (47.818)	Prec@5 84.000 (78.239)
Epoch: [50][8470/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 2.0230 (2.0211)	Prec@1 46.000 (47.817)	Prec@5 78.000 (78.239)
Epoch: [50][8480/9018]	Time 0.601 (0.623)	Data 0.015 (0.003)	Loss 1.9712 (2.0211)	Prec@1 46.500 (47.816)	Prec@5 77.000 (78.239)
Epoch: [50][8490/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.9906 (2.0211)	Prec@1 47.500 (47.815)	Prec@5 76.000 (78.240)
Epoch: [50][8500/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.9265 (2.0211)	Prec@1 47.500 (47.816)	Prec@5 80.000 (78.241)
Epoch: [50][8510/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.9929 (2.0212)	Prec@1 48.500 (47.815)	Prec@5 77.500 (78.241)
Epoch: [50][8520/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 2.0470 (2.0212)	Prec@1 52.000 (47.815)	Prec@5 79.500 (78.241)
Epoch: [50][8530/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 2.2717 (2.0211)	Prec@1 40.000 (47.816)	Prec@5 74.000 (78.240)
Epoch: [50][8540/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.9567 (2.0212)	Prec@1 49.000 (47.814)	Prec@5 79.000 (78.239)
Epoch: [50][8550/9018]	Time 0.618 (0.623)	Data 0.004 (0.003)	Loss 1.9391 (2.0213)	Prec@1 53.000 (47.815)	Prec@5 78.500 (78.237)
Epoch: [50][8560/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 2.2737 (2.0212)	Prec@1 41.000 (47.815)	Prec@5 75.000 (78.240)
Epoch: [50][8570/9018]	Time 0.615 (0.623)	Data 0.017 (0.003)	Loss 1.8839 (2.0212)	Prec@1 49.500 (47.816)	Prec@5 81.000 (78.241)
Epoch: [50][8580/9018]	Time 0.611 (0.623)	Data 0.011 (0.003)	Loss 2.0709 (2.0212)	Prec@1 42.500 (47.815)	Prec@5 77.000 (78.238)
Epoch: [50][8590/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8359 (2.0211)	Prec@1 54.000 (47.816)	Prec@5 81.000 (78.238)
Epoch: [50][8600/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 2.1667 (2.0212)	Prec@1 45.500 (47.813)	Prec@5 77.500 (78.238)
Epoch: [50][8610/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.9383 (2.0212)	Prec@1 47.000 (47.813)	Prec@5 81.000 (78.238)
Epoch: [50][8620/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7877 (2.0211)	Prec@1 55.000 (47.815)	Prec@5 80.500 (78.239)
Epoch: [50][8630/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 2.3572 (2.0212)	Prec@1 44.500 (47.815)	Prec@5 71.500 (78.238)
Epoch: [50][8640/9018]	Time 0.605 (0.623)	Data 0.013 (0.003)	Loss 2.0680 (2.0213)	Prec@1 44.000 (47.815)	Prec@5 78.500 (78.238)
Epoch: [50][8650/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 2.0589 (2.0213)	Prec@1 41.000 (47.815)	Prec@5 77.000 (78.236)
Epoch: [50][8660/9018]	Time 0.628 (0.623)	Data 0.014 (0.003)	Loss 2.0257 (2.0214)	Prec@1 50.000 (47.813)	Prec@5 79.000 (78.236)
Epoch: [50][8670/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 2.1722 (2.0214)	Prec@1 48.500 (47.814)	Prec@5 76.500 (78.236)
Epoch: [50][8680/9018]	Time 0.621 (0.623)	Data 0.003 (0.003)	Loss 1.9395 (2.0214)	Prec@1 50.500 (47.813)	Prec@5 79.000 (78.235)
Epoch: [50][8690/9018]	Time 0.601 (0.623)	Data 0.002 (0.003)	Loss 2.0984 (2.0214)	Prec@1 45.500 (47.815)	Prec@5 77.000 (78.235)
Epoch: [50][8700/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 2.1490 (2.0214)	Prec@1 43.000 (47.814)	Prec@5 78.500 (78.235)
Epoch: [50][8710/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 2.0187 (2.0215)	Prec@1 50.500 (47.813)	Prec@5 76.500 (78.234)
Epoch: [50][8720/9018]	Time 0.649 (0.623)	Data 0.001 (0.003)	Loss 2.0482 (2.0215)	Prec@1 44.000 (47.812)	Prec@5 77.000 (78.234)
Epoch: [50][8730/9018]	Time 0.774 (0.623)	Data 0.001 (0.003)	Loss 2.3671 (2.0214)	Prec@1 36.500 (47.812)	Prec@5 70.000 (78.234)
Epoch: [50][8740/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.8727 (2.0215)	Prec@1 54.500 (47.811)	Prec@5 79.000 (78.233)
Epoch: [50][8750/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 2.0807 (2.0215)	Prec@1 48.000 (47.811)	Prec@5 76.000 (78.233)
Epoch: [50][8760/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 2.2221 (2.0215)	Prec@1 49.000 (47.812)	Prec@5 72.000 (78.232)
Epoch: [50][8770/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.9536 (2.0214)	Prec@1 44.500 (47.812)	Prec@5 79.500 (78.234)
Epoch: [50][8780/9018]	Time 0.761 (0.623)	Data 0.003 (0.003)	Loss 2.1838 (2.0214)	Prec@1 46.000 (47.811)	Prec@5 77.000 (78.233)
Epoch: [50][8790/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 2.1099 (2.0215)	Prec@1 47.000 (47.809)	Prec@5 73.500 (78.231)
Epoch: [50][8800/9018]	Time 0.650 (0.623)	Data 0.002 (0.003)	Loss 1.8009 (2.0215)	Prec@1 49.500 (47.810)	Prec@5 83.000 (78.232)
Epoch: [50][8810/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 2.1273 (2.0215)	Prec@1 47.000 (47.811)	Prec@5 75.000 (78.233)
Epoch: [50][8820/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 2.0185 (2.0215)	Prec@1 49.500 (47.809)	Prec@5 78.500 (78.234)
Epoch: [50][8830/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 2.0963 (2.0215)	Prec@1 45.000 (47.809)	Prec@5 77.500 (78.234)
Epoch: [50][8840/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 2.0278 (2.0215)	Prec@1 44.500 (47.810)	Prec@5 77.500 (78.234)
Epoch: [50][8850/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.9237 (2.0214)	Prec@1 48.500 (47.811)	Prec@5 81.500 (78.236)
Epoch: [50][8860/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 2.2313 (2.0215)	Prec@1 47.000 (47.811)	Prec@5 76.000 (78.236)
Epoch: [50][8870/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 2.1518 (2.0215)	Prec@1 44.500 (47.811)	Prec@5 75.500 (78.235)
Epoch: [50][8880/9018]	Time 0.661 (0.623)	Data 0.009 (0.003)	Loss 2.1059 (2.0215)	Prec@1 42.500 (47.811)	Prec@5 75.000 (78.235)
Epoch: [50][8890/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 2.1440 (2.0216)	Prec@1 44.000 (47.808)	Prec@5 78.500 (78.234)
Epoch: [50][8900/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 2.2869 (2.0215)	Prec@1 46.000 (47.809)	Prec@5 70.000 (78.235)
Epoch: [50][8910/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.9678 (2.0215)	Prec@1 50.500 (47.808)	Prec@5 78.500 (78.235)
Epoch: [50][8920/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.9197 (2.0215)	Prec@1 51.500 (47.808)	Prec@5 78.500 (78.235)
Epoch: [50][8930/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7119 (2.0215)	Prec@1 54.000 (47.809)	Prec@5 82.000 (78.234)
Epoch: [50][8940/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 2.0919 (2.0215)	Prec@1 48.000 (47.809)	Prec@5 77.000 (78.233)
Epoch: [50][8950/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 2.2064 (2.0215)	Prec@1 46.000 (47.809)	Prec@5 75.500 (78.232)
Epoch: [50][8960/9018]	Time 0.620 (0.623)	Data 0.009 (0.003)	Loss 2.4827 (2.0216)	Prec@1 41.500 (47.807)	Prec@5 67.500 (78.231)
Epoch: [50][8970/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.9003 (2.0217)	Prec@1 51.500 (47.804)	Prec@5 81.500 (78.229)
Epoch: [50][8980/9018]	Time 0.634 (0.623)	Data 0.014 (0.003)	Loss 2.0943 (2.0217)	Prec@1 50.500 (47.803)	Prec@5 75.500 (78.228)
Epoch: [50][8990/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.9725 (2.0218)	Prec@1 51.500 (47.802)	Prec@5 75.500 (78.227)
Epoch: [50][9000/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 2.2750 (2.0218)	Prec@1 45.500 (47.801)	Prec@5 75.500 (78.226)
Epoch: [50][9010/9018]	Time 0.618 (0.623)	Data 0.000 (0.003)	Loss 2.1013 (2.0218)	Prec@1 49.000 (47.800)	Prec@5 79.500 (78.226)
Test: [0/183]	Time 1.391 (1.391)	Loss 2.3095 (2.3095)	Prec@1 40.000 (40.000)	Prec@5 75.000 (75.000)
Test: [10/183]	Time 0.249 (0.327)	Loss 1.6849 (1.7422)	Prec@1 58.500 (53.091)	Prec@5 84.000 (84.318)
Test: [20/183]	Time 0.195 (0.267)	Loss 2.4337 (1.7325)	Prec@1 38.000 (53.405)	Prec@5 71.500 (83.905)
Test: [30/183]	Time 0.193 (0.248)	Loss 2.3066 (1.7160)	Prec@1 32.000 (53.452)	Prec@5 80.000 (84.484)
Test: [40/183]	Time 0.212 (0.236)	Loss 2.4166 (1.7268)	Prec@1 33.500 (53.707)	Prec@5 77.500 (83.902)
Test: [50/183]	Time 0.207 (0.231)	Loss 1.7173 (1.7039)	Prec@1 54.500 (54.480)	Prec@5 84.500 (84.069)
Test: [60/183]	Time 0.200 (0.228)	Loss 2.0651 (1.7653)	Prec@1 46.000 (52.443)	Prec@5 79.000 (83.131)
Test: [70/183]	Time 0.224 (0.225)	Loss 1.5951 (1.7574)	Prec@1 53.000 (52.472)	Prec@5 88.000 (83.430)
Test: [80/183]	Time 0.211 (0.223)	Loss 1.5191 (1.7345)	Prec@1 53.000 (52.901)	Prec@5 89.500 (83.765)
Test: [90/183]	Time 0.206 (0.221)	Loss 2.0472 (1.7295)	Prec@1 47.500 (52.995)	Prec@5 77.500 (83.835)
Test: [100/183]	Time 0.209 (0.220)	Loss 0.6494 (1.7336)	Prec@1 80.000 (52.921)	Prec@5 96.000 (83.777)
Test: [110/183]	Time 0.215 (0.219)	Loss 0.8795 (1.7437)	Prec@1 77.500 (52.734)	Prec@5 97.000 (83.590)
Test: [120/183]	Time 0.217 (0.218)	Loss 2.0218 (1.7444)	Prec@1 44.000 (52.579)	Prec@5 73.000 (83.616)
Test: [130/183]	Time 0.201 (0.218)	Loss 3.0063 (1.7561)	Prec@1 16.500 (52.206)	Prec@5 68.000 (83.603)
Test: [140/183]	Time 0.206 (0.217)	Loss 1.4712 (1.7450)	Prec@1 63.000 (52.635)	Prec@5 85.500 (83.762)
Test: [150/183]	Time 0.183 (0.216)	Loss 0.7490 (1.7429)	Prec@1 82.000 (52.762)	Prec@5 96.000 (83.772)
Test: [160/183]	Time 0.213 (0.216)	Loss 1.6825 (1.7435)	Prec@1 54.500 (52.826)	Prec@5 79.500 (83.745)
Test: [170/183]	Time 0.190 (0.215)	Loss 2.1334 (1.7597)	Prec@1 35.000 (52.474)	Prec@5 82.000 (83.512)
Test: [180/183]	Time 0.180 (0.215)	Loss 2.3536 (1.7688)	Prec@1 43.000 (52.354)	Prec@5 74.500 (83.301)
 * Prec@1 52.290 Prec@5 83.279
Epoch: [51][0/9018]	Time 3.211 (3.211)	Data 2.569 (2.569)	Loss 1.7349 (1.7349)	Prec@1 52.500 (52.500)	Prec@5 83.000 (83.000)
Epoch: [51][10/9018]	Time 0.620 (0.872)	Data 0.007 (0.237)	Loss 1.8007 (1.9473)	Prec@1 51.000 (49.045)	Prec@5 83.000 (79.636)
Epoch: [51][20/9018]	Time 0.593 (0.745)	Data 0.001 (0.126)	Loss 1.8895 (1.9650)	Prec@1 49.000 (48.690)	Prec@5 79.500 (79.452)
Epoch: [51][30/9018]	Time 0.601 (0.704)	Data 0.001 (0.086)	Loss 2.0496 (1.9864)	Prec@1 47.500 (48.419)	Prec@5 81.000 (79.145)
Epoch: [51][40/9018]	Time 0.614 (0.682)	Data 0.001 (0.065)	Loss 1.8791 (1.9929)	Prec@1 52.000 (48.427)	Prec@5 83.000 (79.061)
Epoch: [51][50/9018]	Time 0.605 (0.672)	Data 0.001 (0.053)	Loss 1.9039 (2.0089)	Prec@1 50.500 (48.196)	Prec@5 81.500 (78.745)
Epoch: [51][60/9018]	Time 0.606 (0.665)	Data 0.001 (0.044)	Loss 1.8044 (2.0016)	Prec@1 48.000 (48.221)	Prec@5 86.000 (78.918)
Epoch: [51][70/9018]	Time 0.630 (0.659)	Data 0.001 (0.039)	Loss 2.1003 (2.0100)	Prec@1 44.000 (48.035)	Prec@5 76.000 (78.810)
Epoch: [51][80/9018]	Time 0.611 (0.656)	Data 0.001 (0.035)	Loss 1.9513 (2.0036)	Prec@1 52.000 (48.204)	Prec@5 78.500 (78.920)
Epoch: [51][90/9018]	Time 0.608 (0.651)	Data 0.001 (0.031)	Loss 2.1089 (2.0030)	Prec@1 45.000 (48.071)	Prec@5 77.500 (78.879)
Epoch: [51][100/9018]	Time 0.590 (0.648)	Data 0.001 (0.029)	Loss 2.1008 (2.0089)	Prec@1 46.000 (48.015)	Prec@5 74.500 (78.718)
Epoch: [51][110/9018]	Time 0.623 (0.647)	Data 0.001 (0.026)	Loss 2.1435 (2.0068)	Prec@1 46.000 (48.099)	Prec@5 74.000 (78.685)
Epoch: [51][120/9018]	Time 0.641 (0.645)	Data 0.015 (0.025)	Loss 2.1035 (2.0031)	Prec@1 44.000 (48.169)	Prec@5 74.500 (78.736)
Epoch: [51][130/9018]	Time 0.613 (0.643)	Data 0.001 (0.023)	Loss 2.1042 (2.0047)	Prec@1 48.000 (48.088)	Prec@5 77.000 (78.702)
Epoch: [51][140/9018]	Time 0.603 (0.641)	Data 0.001 (0.021)	Loss 2.0913 (2.0073)	Prec@1 50.000 (48.170)	Prec@5 80.000 (78.660)
Epoch: [51][150/9018]	Time 0.597 (0.641)	Data 0.001 (0.020)	Loss 1.9840 (2.0048)	Prec@1 49.000 (48.245)	Prec@5 74.500 (78.735)
Epoch: [51][160/9018]	Time 0.649 (0.640)	Data 0.001 (0.019)	Loss 1.8992 (2.0045)	Prec@1 49.000 (48.230)	Prec@5 82.500 (78.668)
Epoch: [51][170/9018]	Time 0.595 (0.639)	Data 0.001 (0.018)	Loss 1.9441 (2.0020)	Prec@1 50.000 (48.263)	Prec@5 85.000 (78.778)
Epoch: [51][180/9018]	Time 0.626 (0.639)	Data 0.001 (0.017)	Loss 1.9888 (2.0041)	Prec@1 47.500 (48.191)	Prec@5 81.000 (78.707)
Epoch: [51][190/9018]	Time 0.741 (0.638)	Data 0.001 (0.016)	Loss 2.1950 (2.0018)	Prec@1 40.500 (48.188)	Prec@5 73.500 (78.751)
Epoch: [51][200/9018]	Time 0.621 (0.636)	Data 0.001 (0.016)	Loss 2.0842 (2.0021)	Prec@1 43.500 (48.216)	Prec@5 76.000 (78.741)
Epoch: [51][210/9018]	Time 0.604 (0.636)	Data 0.001 (0.015)	Loss 2.1943 (2.0032)	Prec@1 41.500 (48.194)	Prec@5 73.000 (78.699)
Epoch: [51][220/9018]	Time 0.596 (0.635)	Data 0.001 (0.015)	Loss 2.0341 (2.0016)	Prec@1 47.000 (48.201)	Prec@5 81.000 (78.724)
Epoch: [51][230/9018]	Time 0.627 (0.635)	Data 0.001 (0.014)	Loss 2.1835 (2.0038)	Prec@1 47.000 (48.130)	Prec@5 75.000 (78.703)
Epoch: [51][240/9018]	Time 0.762 (0.635)	Data 0.001 (0.014)	Loss 1.9317 (2.0037)	Prec@1 49.000 (48.151)	Prec@5 79.000 (78.714)
Epoch: [51][250/9018]	Time 0.617 (0.634)	Data 0.001 (0.013)	Loss 2.0021 (2.0025)	Prec@1 48.000 (48.167)	Prec@5 78.000 (78.715)
Epoch: [51][260/9018]	Time 0.626 (0.634)	Data 0.001 (0.013)	Loss 2.1057 (2.0024)	Prec@1 46.000 (48.149)	Prec@5 73.500 (78.736)
Epoch: [51][270/9018]	Time 0.603 (0.634)	Data 0.001 (0.012)	Loss 1.9588 (2.0011)	Prec@1 49.000 (48.170)	Prec@5 81.500 (78.729)
Epoch: [51][280/9018]	Time 0.617 (0.634)	Data 0.001 (0.012)	Loss 2.0618 (2.0029)	Prec@1 49.000 (48.096)	Prec@5 78.500 (78.715)
Epoch: [51][290/9018]	Time 0.612 (0.633)	Data 0.001 (0.012)	Loss 2.1401 (2.0039)	Prec@1 42.500 (48.034)	Prec@5 78.500 (78.711)
Epoch: [51][300/9018]	Time 0.612 (0.633)	Data 0.001 (0.011)	Loss 1.9762 (2.0030)	Prec@1 48.500 (48.071)	Prec@5 80.000 (78.739)
Epoch: [51][310/9018]	Time 0.621 (0.633)	Data 0.001 (0.011)	Loss 1.8950 (2.0027)	Prec@1 52.500 (48.113)	Prec@5 81.000 (78.715)
Epoch: [51][320/9018]	Time 0.634 (0.632)	Data 0.001 (0.011)	Loss 1.9550 (2.0037)	Prec@1 50.500 (48.129)	Prec@5 79.500 (78.640)
Epoch: [51][330/9018]	Time 0.613 (0.632)	Data 0.001 (0.011)	Loss 1.9843 (2.0030)	Prec@1 48.000 (48.151)	Prec@5 78.500 (78.674)
Epoch: [51][340/9018]	Time 0.629 (0.632)	Data 0.001 (0.010)	Loss 1.9616 (2.0019)	Prec@1 47.500 (48.164)	Prec@5 80.000 (78.695)
Epoch: [51][350/9018]	Time 0.630 (0.632)	Data 0.001 (0.010)	Loss 1.9935 (2.0035)	Prec@1 43.500 (48.091)	Prec@5 81.500 (78.695)
Epoch: [51][360/9018]	Time 0.599 (0.632)	Data 0.001 (0.010)	Loss 2.0654 (2.0035)	Prec@1 47.500 (48.112)	Prec@5 79.000 (78.713)
Epoch: [51][370/9018]	Time 0.609 (0.631)	Data 0.001 (0.010)	Loss 1.9988 (2.0046)	Prec@1 50.500 (48.042)	Prec@5 80.000 (78.712)
Epoch: [51][380/9018]	Time 0.607 (0.631)	Data 0.001 (0.010)	Loss 2.0687 (2.0041)	Prec@1 46.000 (48.075)	Prec@5 77.000 (78.686)
Epoch: [51][390/9018]	Time 0.643 (0.631)	Data 0.001 (0.009)	Loss 2.0989 (2.0032)	Prec@1 49.000 (48.093)	Prec@5 77.500 (78.721)
Epoch: [51][400/9018]	Time 0.607 (0.631)	Data 0.001 (0.009)	Loss 1.8478 (2.0032)	Prec@1 50.500 (48.086)	Prec@5 81.500 (78.731)
Epoch: [51][410/9018]	Time 0.616 (0.631)	Data 0.001 (0.009)	Loss 2.1999 (2.0032)	Prec@1 44.500 (48.090)	Prec@5 74.000 (78.717)
Epoch: [51][420/9018]	Time 0.615 (0.631)	Data 0.001 (0.009)	Loss 1.9462 (2.0038)	Prec@1 49.000 (48.067)	Prec@5 79.000 (78.676)
Epoch: [51][430/9018]	Time 0.613 (0.631)	Data 0.001 (0.009)	Loss 2.0249 (2.0041)	Prec@1 47.000 (48.071)	Prec@5 78.500 (78.665)
Epoch: [51][440/9018]	Time 0.633 (0.631)	Data 0.001 (0.009)	Loss 1.9323 (2.0041)	Prec@1 45.500 (48.046)	Prec@5 80.500 (78.676)
Epoch: [51][450/9018]	Time 0.614 (0.631)	Data 0.001 (0.008)	Loss 2.1314 (2.0034)	Prec@1 46.000 (48.053)	Prec@5 76.500 (78.662)
Epoch: [51][460/9018]	Time 0.608 (0.630)	Data 0.001 (0.008)	Loss 1.8759 (2.0033)	Prec@1 54.000 (48.053)	Prec@5 80.000 (78.688)
Epoch: [51][470/9018]	Time 0.627 (0.630)	Data 0.001 (0.008)	Loss 1.9195 (2.0024)	Prec@1 46.500 (48.059)	Prec@5 76.500 (78.710)
Epoch: [51][480/9018]	Time 0.632 (0.630)	Data 0.001 (0.008)	Loss 1.7956 (2.0014)	Prec@1 50.500 (48.059)	Prec@5 82.000 (78.738)
Epoch: [51][490/9018]	Time 0.628 (0.630)	Data 0.001 (0.008)	Loss 2.0387 (2.0025)	Prec@1 48.000 (48.073)	Prec@5 77.000 (78.695)
Epoch: [51][500/9018]	Time 0.606 (0.630)	Data 0.001 (0.008)	Loss 1.7534 (2.0014)	Prec@1 50.500 (48.110)	Prec@5 84.000 (78.716)
Epoch: [51][510/9018]	Time 0.620 (0.630)	Data 0.001 (0.008)	Loss 2.1823 (2.0022)	Prec@1 45.000 (48.079)	Prec@5 77.000 (78.682)
Epoch: [51][520/9018]	Time 0.743 (0.630)	Data 0.001 (0.008)	Loss 1.7984 (2.0014)	Prec@1 55.500 (48.125)	Prec@5 82.500 (78.711)
Epoch: [51][530/9018]	Time 0.621 (0.630)	Data 0.001 (0.008)	Loss 2.1432 (2.0027)	Prec@1 42.000 (48.115)	Prec@5 73.500 (78.683)
Epoch: [51][540/9018]	Time 0.630 (0.630)	Data 0.001 (0.008)	Loss 2.1340 (2.0028)	Prec@1 44.000 (48.112)	Prec@5 77.500 (78.674)
Epoch: [51][550/9018]	Time 0.629 (0.630)	Data 0.001 (0.007)	Loss 1.9733 (2.0022)	Prec@1 46.500 (48.110)	Prec@5 76.000 (78.671)
Epoch: [51][560/9018]	Time 0.627 (0.630)	Data 0.001 (0.007)	Loss 2.0183 (2.0032)	Prec@1 48.500 (48.074)	Prec@5 80.500 (78.646)
Epoch: [51][570/9018]	Time 0.738 (0.630)	Data 0.001 (0.007)	Loss 2.3601 (2.0052)	Prec@1 40.000 (48.029)	Prec@5 73.000 (78.625)
Epoch: [51][580/9018]	Time 0.608 (0.629)	Data 0.017 (0.007)	Loss 1.9908 (2.0057)	Prec@1 53.500 (48.017)	Prec@5 78.500 (78.627)
Epoch: [51][590/9018]	Time 0.630 (0.629)	Data 0.001 (0.007)	Loss 2.1011 (2.0066)	Prec@1 44.500 (47.995)	Prec@5 77.000 (78.612)
Epoch: [51][600/9018]	Time 0.607 (0.629)	Data 0.001 (0.007)	Loss 1.9323 (2.0055)	Prec@1 47.500 (47.988)	Prec@5 79.000 (78.634)
Epoch: [51][610/9018]	Time 0.594 (0.629)	Data 0.001 (0.007)	Loss 1.8111 (2.0053)	Prec@1 54.000 (47.998)	Prec@5 83.000 (78.652)
Epoch: [51][620/9018]	Time 0.630 (0.629)	Data 0.001 (0.007)	Loss 2.1306 (2.0052)	Prec@1 43.000 (47.982)	Prec@5 76.500 (78.649)
Epoch: [51][630/9018]	Time 0.633 (0.629)	Data 0.001 (0.007)	Loss 2.0611 (2.0049)	Prec@1 45.000 (47.983)	Prec@5 80.000 (78.649)
Epoch: [51][640/9018]	Time 0.613 (0.629)	Data 0.001 (0.007)	Loss 1.9936 (2.0048)	Prec@1 48.000 (48.001)	Prec@5 79.000 (78.643)
Epoch: [51][650/9018]	Time 0.612 (0.629)	Data 0.001 (0.007)	Loss 1.8991 (2.0049)	Prec@1 52.500 (48.002)	Prec@5 77.500 (78.617)
Epoch: [51][660/9018]	Time 0.607 (0.629)	Data 0.001 (0.007)	Loss 1.9318 (2.0039)	Prec@1 45.500 (48.017)	Prec@5 80.000 (78.645)
Epoch: [51][670/9018]	Time 0.605 (0.629)	Data 0.001 (0.007)	Loss 2.0091 (2.0038)	Prec@1 45.500 (48.016)	Prec@5 80.500 (78.658)
Epoch: [51][680/9018]	Time 0.591 (0.628)	Data 0.001 (0.007)	Loss 2.0358 (2.0038)	Prec@1 48.000 (48.035)	Prec@5 77.000 (78.644)
Epoch: [51][690/9018]	Time 0.616 (0.629)	Data 0.001 (0.007)	Loss 1.9304 (2.0037)	Prec@1 48.000 (48.040)	Prec@5 80.500 (78.642)
Epoch: [51][700/9018]	Time 0.620 (0.628)	Data 0.013 (0.006)	Loss 2.0822 (2.0040)	Prec@1 47.500 (48.031)	Prec@5 76.500 (78.632)
Epoch: [51][710/9018]	Time 0.608 (0.628)	Data 0.001 (0.006)	Loss 2.1350 (2.0052)	Prec@1 44.000 (48.028)	Prec@5 77.000 (78.606)
Epoch: [51][720/9018]	Time 0.626 (0.628)	Data 0.001 (0.006)	Loss 2.0526 (2.0057)	Prec@1 50.000 (47.997)	Prec@5 77.000 (78.591)
Epoch: [51][730/9018]	Time 0.616 (0.628)	Data 0.017 (0.006)	Loss 1.9742 (2.0049)	Prec@1 52.000 (48.017)	Prec@5 79.000 (78.609)
Epoch: [51][740/9018]	Time 0.602 (0.628)	Data 0.001 (0.006)	Loss 1.8825 (2.0044)	Prec@1 46.500 (48.027)	Prec@5 79.000 (78.615)
Epoch: [51][750/9018]	Time 0.603 (0.628)	Data 0.001 (0.006)	Loss 1.9855 (2.0032)	Prec@1 47.500 (48.057)	Prec@5 80.000 (78.647)
Epoch: [51][760/9018]	Time 0.592 (0.628)	Data 0.001 (0.006)	Loss 2.0563 (2.0037)	Prec@1 47.500 (48.051)	Prec@5 77.000 (78.631)
Epoch: [51][770/9018]	Time 0.637 (0.628)	Data 0.001 (0.006)	Loss 1.9714 (2.0034)	Prec@1 48.000 (48.056)	Prec@5 80.000 (78.634)
Epoch: [51][780/9018]	Time 0.610 (0.628)	Data 0.001 (0.006)	Loss 1.9431 (2.0033)	Prec@1 51.000 (48.056)	Prec@5 81.000 (78.649)
Epoch: [51][790/9018]	Time 0.610 (0.628)	Data 0.003 (0.006)	Loss 1.8432 (2.0030)	Prec@1 52.000 (48.059)	Prec@5 83.000 (78.665)
Epoch: [51][800/9018]	Time 0.605 (0.628)	Data 0.001 (0.006)	Loss 1.9816 (2.0030)	Prec@1 48.000 (48.064)	Prec@5 80.500 (78.665)
Epoch: [51][810/9018]	Time 0.617 (0.628)	Data 0.001 (0.006)	Loss 2.1154 (2.0034)	Prec@1 46.000 (48.054)	Prec@5 75.500 (78.657)
Epoch: [51][820/9018]	Time 0.605 (0.628)	Data 0.001 (0.006)	Loss 1.8754 (2.0035)	Prec@1 47.000 (48.051)	Prec@5 81.000 (78.661)
Epoch: [51][830/9018]	Time 0.594 (0.628)	Data 0.001 (0.006)	Loss 1.9053 (2.0031)	Prec@1 54.500 (48.058)	Prec@5 81.000 (78.658)
Epoch: [51][840/9018]	Time 0.655 (0.628)	Data 0.001 (0.006)	Loss 2.0055 (2.0029)	Prec@1 43.000 (48.055)	Prec@5 81.500 (78.656)
Epoch: [51][850/9018]	Time 0.780 (0.628)	Data 0.004 (0.006)	Loss 1.9173 (2.0030)	Prec@1 48.000 (48.066)	Prec@5 79.000 (78.653)
Epoch: [51][860/9018]	Time 0.606 (0.628)	Data 0.001 (0.006)	Loss 1.7128 (2.0024)	Prec@1 57.000 (48.078)	Prec@5 82.000 (78.666)
Epoch: [51][870/9018]	Time 0.635 (0.628)	Data 0.001 (0.006)	Loss 1.9503 (2.0026)	Prec@1 50.000 (48.076)	Prec@5 80.000 (78.661)
Epoch: [51][880/9018]	Time 0.643 (0.628)	Data 0.001 (0.006)	Loss 1.9595 (2.0028)	Prec@1 46.500 (48.072)	Prec@5 81.000 (78.665)
Epoch: [51][890/9018]	Time 0.604 (0.628)	Data 0.001 (0.006)	Loss 1.9609 (2.0026)	Prec@1 47.500 (48.079)	Prec@5 77.500 (78.662)
Epoch: [51][900/9018]	Time 0.766 (0.628)	Data 0.001 (0.006)	Loss 2.1919 (2.0026)	Prec@1 45.500 (48.082)	Prec@5 75.000 (78.655)
Epoch: [51][910/9018]	Time 0.629 (0.628)	Data 0.001 (0.006)	Loss 2.0774 (2.0029)	Prec@1 51.000 (48.071)	Prec@5 79.000 (78.659)
Epoch: [51][920/9018]	Time 0.599 (0.628)	Data 0.001 (0.006)	Loss 1.9858 (2.0032)	Prec@1 47.500 (48.069)	Prec@5 80.000 (78.654)
Epoch: [51][930/9018]	Time 0.608 (0.627)	Data 0.015 (0.006)	Loss 2.0412 (2.0034)	Prec@1 47.000 (48.063)	Prec@5 78.500 (78.658)
Epoch: [51][940/9018]	Time 0.605 (0.627)	Data 0.004 (0.006)	Loss 1.9000 (2.0038)	Prec@1 58.500 (48.063)	Prec@5 84.500 (78.650)
Epoch: [51][950/9018]	Time 0.610 (0.627)	Data 0.001 (0.006)	Loss 1.6650 (2.0033)	Prec@1 57.000 (48.067)	Prec@5 83.000 (78.666)
Epoch: [51][960/9018]	Time 0.611 (0.627)	Data 0.016 (0.006)	Loss 1.9089 (2.0031)	Prec@1 45.500 (48.059)	Prec@5 81.500 (78.674)
Epoch: [51][970/9018]	Time 0.643 (0.627)	Data 0.001 (0.005)	Loss 1.8103 (2.0024)	Prec@1 54.500 (48.081)	Prec@5 82.000 (78.689)
Epoch: [51][980/9018]	Time 0.632 (0.627)	Data 0.001 (0.005)	Loss 2.0219 (2.0023)	Prec@1 47.500 (48.080)	Prec@5 82.000 (78.692)
Epoch: [51][990/9018]	Time 0.594 (0.627)	Data 0.001 (0.005)	Loss 1.8765 (2.0026)	Prec@1 48.500 (48.074)	Prec@5 81.000 (78.685)
Epoch: [51][1000/9018]	Time 0.643 (0.627)	Data 0.001 (0.005)	Loss 1.9881 (2.0020)	Prec@1 47.500 (48.086)	Prec@5 78.000 (78.698)
Epoch: [51][1010/9018]	Time 0.592 (0.627)	Data 0.001 (0.005)	Loss 1.9426 (2.0018)	Prec@1 49.000 (48.097)	Prec@5 78.000 (78.695)
Epoch: [51][1020/9018]	Time 0.649 (0.627)	Data 0.001 (0.005)	Loss 1.9645 (2.0019)	Prec@1 50.500 (48.089)	Prec@5 77.000 (78.690)
Epoch: [51][1030/9018]	Time 0.627 (0.627)	Data 0.001 (0.005)	Loss 1.9633 (2.0019)	Prec@1 52.000 (48.095)	Prec@5 77.500 (78.693)
Epoch: [51][1040/9018]	Time 0.610 (0.627)	Data 0.001 (0.005)	Loss 1.8642 (2.0016)	Prec@1 53.500 (48.109)	Prec@5 82.500 (78.698)
Epoch: [51][1050/9018]	Time 0.599 (0.627)	Data 0.001 (0.005)	Loss 2.0366 (2.0012)	Prec@1 46.000 (48.116)	Prec@5 78.000 (78.710)
Epoch: [51][1060/9018]	Time 0.600 (0.627)	Data 0.001 (0.005)	Loss 1.9842 (2.0012)	Prec@1 48.000 (48.122)	Prec@5 77.500 (78.707)
Epoch: [51][1070/9018]	Time 0.604 (0.627)	Data 0.001 (0.005)	Loss 2.0022 (2.0011)	Prec@1 48.500 (48.124)	Prec@5 77.500 (78.709)
Epoch: [51][1080/9018]	Time 0.621 (0.627)	Data 0.001 (0.005)	Loss 2.0396 (2.0009)	Prec@1 44.500 (48.121)	Prec@5 79.500 (78.721)
Epoch: [51][1090/9018]	Time 0.590 (0.627)	Data 0.001 (0.005)	Loss 1.9205 (2.0008)	Prec@1 49.000 (48.128)	Prec@5 80.500 (78.726)
Epoch: [51][1100/9018]	Time 0.610 (0.627)	Data 0.001 (0.005)	Loss 2.2673 (2.0008)	Prec@1 45.500 (48.128)	Prec@5 75.000 (78.727)
Epoch: [51][1110/9018]	Time 0.618 (0.627)	Data 0.001 (0.005)	Loss 1.9307 (2.0008)	Prec@1 47.500 (48.131)	Prec@5 79.500 (78.726)
Epoch: [51][1120/9018]	Time 0.618 (0.627)	Data 0.001 (0.005)	Loss 2.0136 (2.0005)	Prec@1 46.500 (48.135)	Prec@5 82.500 (78.734)
Epoch: [51][1130/9018]	Time 0.624 (0.627)	Data 0.001 (0.005)	Loss 2.0475 (2.0000)	Prec@1 43.500 (48.145)	Prec@5 80.000 (78.743)
Epoch: [51][1140/9018]	Time 0.624 (0.627)	Data 0.001 (0.005)	Loss 1.9424 (1.9996)	Prec@1 50.000 (48.152)	Prec@5 78.000 (78.745)
Epoch: [51][1150/9018]	Time 0.607 (0.627)	Data 0.007 (0.005)	Loss 2.0935 (2.0000)	Prec@1 49.500 (48.149)	Prec@5 75.000 (78.742)
Epoch: [51][1160/9018]	Time 0.619 (0.627)	Data 0.001 (0.005)	Loss 2.0402 (2.0007)	Prec@1 45.000 (48.143)	Prec@5 82.500 (78.737)
Epoch: [51][1170/9018]	Time 0.638 (0.627)	Data 0.010 (0.005)	Loss 2.1326 (2.0002)	Prec@1 45.500 (48.148)	Prec@5 80.000 (78.743)
Epoch: [51][1180/9018]	Time 0.755 (0.627)	Data 0.001 (0.005)	Loss 2.0456 (2.0009)	Prec@1 46.500 (48.136)	Prec@5 71.000 (78.718)
Epoch: [51][1190/9018]	Time 0.595 (0.627)	Data 0.001 (0.005)	Loss 2.2532 (2.0014)	Prec@1 45.500 (48.128)	Prec@5 75.500 (78.712)
Epoch: [51][1200/9018]	Time 0.606 (0.627)	Data 0.013 (0.005)	Loss 2.2304 (2.0016)	Prec@1 43.500 (48.130)	Prec@5 74.000 (78.701)
Epoch: [51][1210/9018]	Time 0.599 (0.627)	Data 0.001 (0.005)	Loss 2.1626 (2.0016)	Prec@1 43.000 (48.118)	Prec@5 76.000 (78.704)
Epoch: [51][1220/9018]	Time 0.622 (0.627)	Data 0.001 (0.005)	Loss 2.0612 (2.0017)	Prec@1 45.000 (48.105)	Prec@5 82.000 (78.706)
Epoch: [51][1230/9018]	Time 0.823 (0.627)	Data 0.016 (0.005)	Loss 1.9875 (2.0012)	Prec@1 49.500 (48.120)	Prec@5 77.500 (78.704)
Epoch: [51][1240/9018]	Time 0.634 (0.627)	Data 0.001 (0.005)	Loss 2.2136 (2.0015)	Prec@1 44.500 (48.107)	Prec@5 77.500 (78.707)
Epoch: [51][1250/9018]	Time 0.616 (0.627)	Data 0.001 (0.005)	Loss 1.9429 (2.0010)	Prec@1 53.000 (48.130)	Prec@5 79.000 (78.714)
Epoch: [51][1260/9018]	Time 0.603 (0.627)	Data 0.001 (0.005)	Loss 2.0092 (2.0011)	Prec@1 44.000 (48.118)	Prec@5 80.500 (78.713)
Epoch: [51][1270/9018]	Time 0.622 (0.627)	Data 0.001 (0.005)	Loss 2.3916 (2.0012)	Prec@1 44.000 (48.124)	Prec@5 71.000 (78.705)
Epoch: [51][1280/9018]	Time 0.617 (0.627)	Data 0.001 (0.005)	Loss 1.9846 (2.0012)	Prec@1 49.000 (48.116)	Prec@5 76.500 (78.701)
Epoch: [51][1290/9018]	Time 0.606 (0.627)	Data 0.001 (0.005)	Loss 2.1374 (2.0017)	Prec@1 42.500 (48.101)	Prec@5 75.500 (78.693)
Epoch: [51][1300/9018]	Time 0.603 (0.627)	Data 0.001 (0.005)	Loss 2.1931 (2.0020)	Prec@1 45.500 (48.093)	Prec@5 73.500 (78.685)
Epoch: [51][1310/9018]	Time 0.596 (0.627)	Data 0.001 (0.005)	Loss 2.3032 (2.0026)	Prec@1 47.500 (48.071)	Prec@5 70.500 (78.681)
Epoch: [51][1320/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 2.1317 (2.0032)	Prec@1 42.000 (48.048)	Prec@5 78.500 (78.669)
Epoch: [51][1330/9018]	Time 0.623 (0.627)	Data 0.001 (0.005)	Loss 2.1129 (2.0035)	Prec@1 47.000 (48.041)	Prec@5 74.000 (78.660)
Epoch: [51][1340/9018]	Time 0.608 (0.627)	Data 0.001 (0.005)	Loss 1.8876 (2.0031)	Prec@1 53.000 (48.044)	Prec@5 78.500 (78.667)
Epoch: [51][1350/9018]	Time 0.611 (0.627)	Data 0.001 (0.005)	Loss 1.9858 (2.0032)	Prec@1 49.500 (48.038)	Prec@5 77.500 (78.665)
Epoch: [51][1360/9018]	Time 0.603 (0.627)	Data 0.001 (0.005)	Loss 2.1118 (2.0031)	Prec@1 43.500 (48.043)	Prec@5 76.500 (78.669)
Epoch: [51][1370/9018]	Time 0.630 (0.627)	Data 0.016 (0.005)	Loss 1.9486 (2.0031)	Prec@1 49.500 (48.040)	Prec@5 79.000 (78.664)
Epoch: [51][1380/9018]	Time 0.626 (0.627)	Data 0.001 (0.005)	Loss 2.0017 (2.0031)	Prec@1 48.500 (48.033)	Prec@5 77.500 (78.662)
Epoch: [51][1390/9018]	Time 0.607 (0.627)	Data 0.001 (0.005)	Loss 1.7355 (2.0027)	Prec@1 52.000 (48.041)	Prec@5 85.000 (78.664)
Epoch: [51][1400/9018]	Time 0.609 (0.627)	Data 0.001 (0.005)	Loss 2.1729 (2.0030)	Prec@1 43.500 (48.029)	Prec@5 77.000 (78.655)
Epoch: [51][1410/9018]	Time 0.614 (0.627)	Data 0.001 (0.005)	Loss 2.1680 (2.0030)	Prec@1 45.500 (48.037)	Prec@5 74.000 (78.651)
Epoch: [51][1420/9018]	Time 0.616 (0.627)	Data 0.001 (0.005)	Loss 2.0425 (2.0032)	Prec@1 47.500 (48.032)	Prec@5 79.000 (78.645)
Epoch: [51][1430/9018]	Time 0.614 (0.627)	Data 0.004 (0.005)	Loss 2.1873 (2.0032)	Prec@1 48.500 (48.038)	Prec@5 75.000 (78.650)
Epoch: [51][1440/9018]	Time 0.625 (0.627)	Data 0.001 (0.005)	Loss 1.9332 (2.0032)	Prec@1 48.500 (48.045)	Prec@5 80.500 (78.648)
Epoch: [51][1450/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 1.9550 (2.0034)	Prec@1 45.500 (48.048)	Prec@5 77.500 (78.641)
Epoch: [51][1460/9018]	Time 0.625 (0.627)	Data 0.003 (0.005)	Loss 1.8969 (2.0033)	Prec@1 49.500 (48.053)	Prec@5 78.500 (78.636)
Epoch: [51][1470/9018]	Time 0.641 (0.627)	Data 0.005 (0.005)	Loss 1.8344 (2.0033)	Prec@1 53.000 (48.053)	Prec@5 78.000 (78.633)
Epoch: [51][1480/9018]	Time 0.595 (0.627)	Data 0.001 (0.005)	Loss 1.9813 (2.0028)	Prec@1 49.500 (48.055)	Prec@5 81.000 (78.642)
Epoch: [51][1490/9018]	Time 0.639 (0.627)	Data 0.001 (0.005)	Loss 2.1674 (2.0021)	Prec@1 43.000 (48.061)	Prec@5 77.000 (78.649)
Epoch: [51][1500/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 2.0882 (2.0024)	Prec@1 48.000 (48.053)	Prec@5 76.000 (78.644)
Epoch: [51][1510/9018]	Time 0.738 (0.627)	Data 0.001 (0.005)	Loss 1.9353 (2.0023)	Prec@1 48.500 (48.064)	Prec@5 80.500 (78.648)
Epoch: [51][1520/9018]	Time 0.623 (0.627)	Data 0.001 (0.005)	Loss 1.8409 (2.0024)	Prec@1 55.500 (48.064)	Prec@5 82.000 (78.647)
Epoch: [51][1530/9018]	Time 0.607 (0.627)	Data 0.001 (0.004)	Loss 1.9103 (2.0030)	Prec@1 52.000 (48.050)	Prec@5 80.500 (78.638)
Epoch: [51][1540/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 2.1196 (2.0033)	Prec@1 39.000 (48.041)	Prec@5 79.500 (78.633)
Epoch: [51][1550/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 2.0372 (2.0035)	Prec@1 49.000 (48.054)	Prec@5 77.500 (78.629)
Epoch: [51][1560/9018]	Time 0.780 (0.627)	Data 0.001 (0.004)	Loss 2.0525 (2.0033)	Prec@1 49.500 (48.060)	Prec@5 77.000 (78.631)
Epoch: [51][1570/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 2.0938 (2.0036)	Prec@1 46.500 (48.050)	Prec@5 79.000 (78.627)
Epoch: [51][1580/9018]	Time 0.603 (0.627)	Data 0.012 (0.004)	Loss 2.1332 (2.0036)	Prec@1 48.000 (48.048)	Prec@5 76.500 (78.630)
Epoch: [51][1590/9018]	Time 0.605 (0.626)	Data 0.017 (0.004)	Loss 1.9909 (2.0035)	Prec@1 52.000 (48.046)	Prec@5 77.500 (78.634)
Epoch: [51][1600/9018]	Time 0.621 (0.627)	Data 0.001 (0.004)	Loss 2.0566 (2.0034)	Prec@1 46.500 (48.044)	Prec@5 80.500 (78.636)
Epoch: [51][1610/9018]	Time 0.625 (0.627)	Data 0.001 (0.004)	Loss 1.9591 (2.0031)	Prec@1 55.000 (48.052)	Prec@5 77.500 (78.638)
Epoch: [51][1620/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.7848 (2.0032)	Prec@1 49.500 (48.054)	Prec@5 85.500 (78.636)
Epoch: [51][1630/9018]	Time 0.641 (0.627)	Data 0.001 (0.004)	Loss 1.9675 (2.0035)	Prec@1 49.000 (48.050)	Prec@5 78.000 (78.627)
Epoch: [51][1640/9018]	Time 0.604 (0.626)	Data 0.009 (0.004)	Loss 2.0456 (2.0036)	Prec@1 47.000 (48.049)	Prec@5 79.000 (78.623)
Epoch: [51][1650/9018]	Time 0.633 (0.627)	Data 0.015 (0.004)	Loss 2.0850 (2.0036)	Prec@1 48.000 (48.042)	Prec@5 74.500 (78.624)
Epoch: [51][1660/9018]	Time 0.605 (0.627)	Data 0.001 (0.004)	Loss 1.7629 (2.0035)	Prec@1 52.000 (48.045)	Prec@5 83.500 (78.627)
Epoch: [51][1670/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.9694 (2.0039)	Prec@1 42.500 (48.026)	Prec@5 83.000 (78.623)
Epoch: [51][1680/9018]	Time 0.622 (0.627)	Data 0.001 (0.004)	Loss 1.7780 (2.0039)	Prec@1 56.000 (48.029)	Prec@5 80.500 (78.619)
Epoch: [51][1690/9018]	Time 0.623 (0.627)	Data 0.001 (0.004)	Loss 2.0211 (2.0038)	Prec@1 45.500 (48.026)	Prec@5 79.000 (78.621)
Epoch: [51][1700/9018]	Time 0.650 (0.627)	Data 0.001 (0.004)	Loss 1.8929 (2.0037)	Prec@1 52.000 (48.024)	Prec@5 81.000 (78.623)
Epoch: [51][1710/9018]	Time 0.596 (0.627)	Data 0.015 (0.004)	Loss 1.9950 (2.0038)	Prec@1 50.000 (48.018)	Prec@5 78.500 (78.619)
Epoch: [51][1720/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 2.0146 (2.0037)	Prec@1 47.500 (48.025)	Prec@5 75.500 (78.618)
Epoch: [51][1730/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 2.0047 (2.0037)	Prec@1 48.500 (48.025)	Prec@5 78.000 (78.617)
Epoch: [51][1740/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.9577 (2.0037)	Prec@1 46.500 (48.024)	Prec@5 82.500 (78.620)
Epoch: [51][1750/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 1.9635 (2.0036)	Prec@1 47.500 (48.027)	Prec@5 81.500 (78.620)
Epoch: [51][1760/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.9357 (2.0032)	Prec@1 50.500 (48.031)	Prec@5 77.000 (78.622)
Epoch: [51][1770/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 2.0633 (2.0039)	Prec@1 47.000 (48.020)	Prec@5 80.000 (78.612)
Epoch: [51][1780/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.9813 (2.0039)	Prec@1 50.000 (48.020)	Prec@5 78.000 (78.618)
Epoch: [51][1790/9018]	Time 0.808 (0.626)	Data 0.014 (0.004)	Loss 1.9340 (2.0036)	Prec@1 51.000 (48.020)	Prec@5 77.000 (78.622)
Epoch: [51][1800/9018]	Time 0.649 (0.626)	Data 0.002 (0.004)	Loss 2.1620 (2.0038)	Prec@1 43.500 (48.018)	Prec@5 79.000 (78.617)
Epoch: [51][1810/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 2.0755 (2.0039)	Prec@1 44.000 (48.009)	Prec@5 73.500 (78.612)
Epoch: [51][1820/9018]	Time 0.639 (0.626)	Data 0.001 (0.004)	Loss 2.0514 (2.0040)	Prec@1 48.500 (48.015)	Prec@5 79.000 (78.610)
Epoch: [51][1830/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.8134 (2.0039)	Prec@1 51.000 (48.015)	Prec@5 83.000 (78.612)
Epoch: [51][1840/9018]	Time 0.766 (0.627)	Data 0.001 (0.004)	Loss 2.1046 (2.0042)	Prec@1 46.000 (48.010)	Prec@5 77.500 (78.603)
Epoch: [51][1850/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.8265 (2.0041)	Prec@1 49.500 (48.010)	Prec@5 81.000 (78.604)
Epoch: [51][1860/9018]	Time 0.608 (0.626)	Data 0.017 (0.004)	Loss 1.9109 (2.0041)	Prec@1 50.000 (48.007)	Prec@5 77.500 (78.606)
Epoch: [51][1870/9018]	Time 0.638 (0.626)	Data 0.001 (0.004)	Loss 2.1447 (2.0042)	Prec@1 45.000 (48.005)	Prec@5 76.500 (78.607)
Epoch: [51][1880/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.8576 (2.0039)	Prec@1 50.500 (48.005)	Prec@5 77.000 (78.609)
Epoch: [51][1890/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 2.0653 (2.0039)	Prec@1 48.000 (48.003)	Prec@5 74.500 (78.607)
Epoch: [51][1900/9018]	Time 0.654 (0.626)	Data 0.001 (0.004)	Loss 2.0826 (2.0039)	Prec@1 43.000 (48.003)	Prec@5 78.500 (78.608)
Epoch: [51][1910/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 2.2116 (2.0044)	Prec@1 45.000 (47.997)	Prec@5 74.500 (78.595)
Epoch: [51][1920/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.7941 (2.0041)	Prec@1 53.000 (48.004)	Prec@5 82.000 (78.598)
Epoch: [51][1930/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 1.9957 (2.0040)	Prec@1 48.000 (48.011)	Prec@5 76.000 (78.600)
Epoch: [51][1940/9018]	Time 0.653 (0.626)	Data 0.001 (0.004)	Loss 2.0786 (2.0039)	Prec@1 47.000 (48.012)	Prec@5 79.000 (78.603)
Epoch: [51][1950/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 2.0504 (2.0038)	Prec@1 44.500 (48.013)	Prec@5 74.000 (78.603)
Epoch: [51][1960/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 2.2081 (2.0037)	Prec@1 45.000 (48.012)	Prec@5 77.500 (78.607)
Epoch: [51][1970/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 2.0918 (2.0043)	Prec@1 45.500 (48.003)	Prec@5 75.500 (78.601)
Epoch: [51][1980/9018]	Time 0.606 (0.626)	Data 0.017 (0.004)	Loss 2.3673 (2.0048)	Prec@1 44.500 (47.989)	Prec@5 73.500 (78.588)
Epoch: [51][1990/9018]	Time 0.629 (0.626)	Data 0.001 (0.004)	Loss 1.8522 (2.0046)	Prec@1 55.000 (47.997)	Prec@5 82.000 (78.597)
Epoch: [51][2000/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 2.1087 (2.0045)	Prec@1 51.000 (48.000)	Prec@5 74.500 (78.592)
Epoch: [51][2010/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.7340 (2.0044)	Prec@1 54.500 (47.997)	Prec@5 83.500 (78.591)
Epoch: [51][2020/9018]	Time 0.618 (0.626)	Data 0.010 (0.004)	Loss 1.9751 (2.0043)	Prec@1 50.000 (48.002)	Prec@5 80.000 (78.593)
Epoch: [51][2030/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.8960 (2.0041)	Prec@1 45.500 (48.011)	Prec@5 80.000 (78.593)
Epoch: [51][2040/9018]	Time 0.596 (0.626)	Data 0.001 (0.004)	Loss 1.9989 (2.0042)	Prec@1 44.500 (48.007)	Prec@5 77.500 (78.592)
Epoch: [51][2050/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.9922 (2.0044)	Prec@1 48.000 (48.004)	Prec@5 80.000 (78.589)
Epoch: [51][2060/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 2.0637 (2.0043)	Prec@1 49.000 (48.008)	Prec@5 76.500 (78.589)
Epoch: [51][2070/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 1.9885 (2.0043)	Prec@1 46.500 (48.000)	Prec@5 78.500 (78.588)
Epoch: [51][2080/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 2.1027 (2.0044)	Prec@1 44.500 (47.994)	Prec@5 78.500 (78.589)
Epoch: [51][2090/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.8667 (2.0048)	Prec@1 48.000 (47.984)	Prec@5 79.500 (78.582)
Epoch: [51][2100/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 2.2664 (2.0047)	Prec@1 48.500 (47.990)	Prec@5 70.500 (78.578)
Epoch: [51][2110/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.8847 (2.0046)	Prec@1 53.000 (47.998)	Prec@5 82.000 (78.580)
Epoch: [51][2120/9018]	Time 0.787 (0.626)	Data 0.001 (0.004)	Loss 2.0516 (2.0046)	Prec@1 48.000 (48.000)	Prec@5 76.500 (78.579)
Epoch: [51][2130/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 2.1097 (2.0044)	Prec@1 45.500 (48.003)	Prec@5 76.500 (78.583)
Epoch: [51][2140/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 2.3224 (2.0041)	Prec@1 40.000 (48.009)	Prec@5 76.500 (78.592)
Epoch: [51][2150/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 2.1332 (2.0042)	Prec@1 49.000 (48.014)	Prec@5 77.000 (78.592)
Epoch: [51][2160/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.7950 (2.0043)	Prec@1 50.000 (48.014)	Prec@5 83.000 (78.589)
Epoch: [51][2170/9018]	Time 0.725 (0.626)	Data 0.007 (0.004)	Loss 2.2035 (2.0045)	Prec@1 46.500 (48.013)	Prec@5 77.000 (78.589)
Epoch: [51][2180/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 2.0711 (2.0047)	Prec@1 46.500 (48.010)	Prec@5 77.500 (78.586)
Epoch: [51][2190/9018]	Time 0.645 (0.626)	Data 0.001 (0.004)	Loss 1.8933 (2.0048)	Prec@1 54.000 (48.009)	Prec@5 82.500 (78.588)
Epoch: [51][2200/9018]	Time 0.614 (0.626)	Data 0.016 (0.004)	Loss 1.9118 (2.0045)	Prec@1 50.500 (48.019)	Prec@5 79.500 (78.590)
Epoch: [51][2210/9018]	Time 0.642 (0.626)	Data 0.001 (0.004)	Loss 2.1838 (2.0045)	Prec@1 42.000 (48.017)	Prec@5 76.500 (78.591)
Epoch: [51][2220/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 2.1382 (2.0046)	Prec@1 40.500 (48.011)	Prec@5 77.500 (78.593)
Epoch: [51][2230/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 2.1240 (2.0045)	Prec@1 48.500 (48.017)	Prec@5 75.000 (78.594)
Epoch: [51][2240/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.8567 (2.0043)	Prec@1 52.000 (48.020)	Prec@5 81.500 (78.601)
Epoch: [51][2250/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.9561 (2.0041)	Prec@1 45.500 (48.020)	Prec@5 80.000 (78.608)
Epoch: [51][2260/9018]	Time 0.610 (0.626)	Data 0.008 (0.004)	Loss 1.8720 (2.0040)	Prec@1 52.000 (48.020)	Prec@5 77.500 (78.607)
Epoch: [51][2270/9018]	Time 0.664 (0.626)	Data 0.001 (0.004)	Loss 1.9862 (2.0040)	Prec@1 48.000 (48.021)	Prec@5 77.500 (78.605)
Epoch: [51][2280/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.9610 (2.0043)	Prec@1 50.000 (48.014)	Prec@5 77.500 (78.601)
Epoch: [51][2290/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 2.0561 (2.0043)	Prec@1 48.000 (48.013)	Prec@5 78.500 (78.601)
Epoch: [51][2300/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 1.9635 (2.0042)	Prec@1 47.000 (48.013)	Prec@5 80.000 (78.604)
Epoch: [51][2310/9018]	Time 0.591 (0.626)	Data 0.001 (0.004)	Loss 2.1775 (2.0042)	Prec@1 45.000 (48.012)	Prec@5 75.500 (78.603)
Epoch: [51][2320/9018]	Time 0.602 (0.626)	Data 0.008 (0.004)	Loss 2.0231 (2.0043)	Prec@1 48.500 (48.006)	Prec@5 75.500 (78.598)
Epoch: [51][2330/9018]	Time 0.628 (0.626)	Data 0.001 (0.004)	Loss 2.1940 (2.0045)	Prec@1 43.500 (47.999)	Prec@5 76.500 (78.599)
Epoch: [51][2340/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 2.1127 (2.0049)	Prec@1 48.000 (48.000)	Prec@5 77.500 (78.593)
Epoch: [51][2350/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 2.0392 (2.0049)	Prec@1 49.000 (47.999)	Prec@5 79.000 (78.592)
Epoch: [51][2360/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 2.0598 (2.0047)	Prec@1 48.500 (48.004)	Prec@5 75.500 (78.592)
Epoch: [51][2370/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 2.0633 (2.0049)	Prec@1 50.000 (48.003)	Prec@5 74.500 (78.587)
Epoch: [51][2380/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 2.0666 (2.0049)	Prec@1 50.000 (48.010)	Prec@5 79.500 (78.587)
Epoch: [51][2390/9018]	Time 0.628 (0.626)	Data 0.009 (0.004)	Loss 1.8231 (2.0048)	Prec@1 51.000 (48.013)	Prec@5 81.000 (78.587)
Epoch: [51][2400/9018]	Time 0.643 (0.626)	Data 0.001 (0.004)	Loss 2.0112 (2.0052)	Prec@1 48.500 (48.006)	Prec@5 79.500 (78.583)
Epoch: [51][2410/9018]	Time 0.598 (0.626)	Data 0.001 (0.004)	Loss 2.1257 (2.0053)	Prec@1 46.500 (48.002)	Prec@5 78.000 (78.580)
Epoch: [51][2420/9018]	Time 0.629 (0.626)	Data 0.001 (0.004)	Loss 1.8845 (2.0053)	Prec@1 52.000 (48.005)	Prec@5 84.000 (78.582)
Epoch: [51][2430/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.9157 (2.0054)	Prec@1 51.500 (48.006)	Prec@5 80.000 (78.580)
Epoch: [51][2440/9018]	Time 0.626 (0.626)	Data 0.015 (0.004)	Loss 2.0010 (2.0053)	Prec@1 43.500 (48.002)	Prec@5 79.500 (78.582)
Epoch: [51][2450/9018]	Time 0.747 (0.626)	Data 0.001 (0.004)	Loss 1.9141 (2.0053)	Prec@1 49.500 (48.003)	Prec@5 77.500 (78.578)
Epoch: [51][2460/9018]	Time 0.618 (0.626)	Data 0.017 (0.004)	Loss 1.9267 (2.0053)	Prec@1 55.500 (47.999)	Prec@5 81.000 (78.585)
Epoch: [51][2470/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.8491 (2.0050)	Prec@1 53.500 (48.005)	Prec@5 80.000 (78.590)
Epoch: [51][2480/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 2.0775 (2.0051)	Prec@1 46.000 (48.000)	Prec@5 77.500 (78.586)
Epoch: [51][2490/9018]	Time 0.618 (0.626)	Data 0.013 (0.004)	Loss 1.8677 (2.0051)	Prec@1 51.000 (48.002)	Prec@5 78.500 (78.586)
Epoch: [51][2500/9018]	Time 0.726 (0.626)	Data 0.001 (0.004)	Loss 2.0385 (2.0052)	Prec@1 47.500 (48.000)	Prec@5 78.500 (78.586)
Epoch: [51][2510/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.9695 (2.0053)	Prec@1 51.500 (48.000)	Prec@5 78.000 (78.585)
Epoch: [51][2520/9018]	Time 0.628 (0.626)	Data 0.017 (0.004)	Loss 1.8947 (2.0053)	Prec@1 50.500 (47.998)	Prec@5 79.500 (78.588)
Epoch: [51][2530/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.8269 (2.0051)	Prec@1 52.500 (48.004)	Prec@5 81.500 (78.592)
Epoch: [51][2540/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 2.2424 (2.0053)	Prec@1 46.500 (48.006)	Prec@5 74.500 (78.590)
Epoch: [51][2550/9018]	Time 0.634 (0.626)	Data 0.001 (0.004)	Loss 1.7836 (2.0049)	Prec@1 54.000 (48.015)	Prec@5 82.000 (78.593)
Epoch: [51][2560/9018]	Time 0.592 (0.626)	Data 0.001 (0.004)	Loss 1.8652 (2.0049)	Prec@1 50.000 (48.016)	Prec@5 78.500 (78.592)
Epoch: [51][2570/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 2.1555 (2.0050)	Prec@1 43.000 (48.016)	Prec@5 78.500 (78.592)
Epoch: [51][2580/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 2.0828 (2.0050)	Prec@1 45.000 (48.013)	Prec@5 75.000 (78.591)
Epoch: [51][2590/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.9583 (2.0052)	Prec@1 50.000 (48.007)	Prec@5 75.000 (78.585)
Epoch: [51][2600/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 2.1888 (2.0053)	Prec@1 43.000 (48.002)	Prec@5 72.000 (78.579)
Epoch: [51][2610/9018]	Time 0.590 (0.626)	Data 0.001 (0.004)	Loss 1.8651 (2.0051)	Prec@1 47.500 (48.009)	Prec@5 81.500 (78.581)
Epoch: [51][2620/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 2.2444 (2.0053)	Prec@1 47.000 (48.004)	Prec@5 69.000 (78.576)
Epoch: [51][2630/9018]	Time 0.623 (0.626)	Data 0.014 (0.004)	Loss 1.9540 (2.0058)	Prec@1 47.000 (47.997)	Prec@5 80.000 (78.571)
Epoch: [51][2640/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.9674 (2.0056)	Prec@1 47.000 (47.995)	Prec@5 81.000 (78.575)
Epoch: [51][2650/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.7664 (2.0060)	Prec@1 53.000 (47.986)	Prec@5 80.000 (78.565)
Epoch: [51][2660/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 2.2072 (2.0062)	Prec@1 44.000 (47.983)	Prec@5 74.000 (78.563)
Epoch: [51][2670/9018]	Time 0.647 (0.626)	Data 0.001 (0.004)	Loss 1.9690 (2.0061)	Prec@1 50.500 (47.988)	Prec@5 74.500 (78.563)
Epoch: [51][2680/9018]	Time 0.624 (0.626)	Data 0.004 (0.004)	Loss 2.1950 (2.0063)	Prec@1 44.000 (47.986)	Prec@5 72.500 (78.554)
Epoch: [51][2690/9018]	Time 0.635 (0.626)	Data 0.015 (0.004)	Loss 2.0619 (2.0064)	Prec@1 44.000 (47.984)	Prec@5 79.000 (78.554)
Epoch: [51][2700/9018]	Time 0.663 (0.626)	Data 0.016 (0.004)	Loss 1.8807 (2.0063)	Prec@1 47.000 (47.982)	Prec@5 79.500 (78.556)
Epoch: [51][2710/9018]	Time 0.590 (0.626)	Data 0.001 (0.004)	Loss 1.9512 (2.0064)	Prec@1 51.500 (47.981)	Prec@5 80.500 (78.555)
Epoch: [51][2720/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 2.0646 (2.0064)	Prec@1 45.000 (47.983)	Prec@5 78.500 (78.554)
Epoch: [51][2730/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.9760 (2.0066)	Prec@1 47.500 (47.977)	Prec@5 81.500 (78.553)
Epoch: [51][2740/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 2.1002 (2.0067)	Prec@1 49.000 (47.976)	Prec@5 73.500 (78.550)
Epoch: [51][2750/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 2.0634 (2.0065)	Prec@1 43.000 (47.978)	Prec@5 76.500 (78.552)
Epoch: [51][2760/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 2.1888 (2.0065)	Prec@1 42.500 (47.977)	Prec@5 76.500 (78.554)
Epoch: [51][2770/9018]	Time 0.649 (0.626)	Data 0.001 (0.004)	Loss 1.9327 (2.0065)	Prec@1 48.500 (47.981)	Prec@5 82.000 (78.557)
Epoch: [51][2780/9018]	Time 0.807 (0.626)	Data 0.001 (0.004)	Loss 2.1120 (2.0065)	Prec@1 49.500 (47.980)	Prec@5 75.500 (78.554)
Epoch: [51][2790/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 2.1095 (2.0065)	Prec@1 45.500 (47.984)	Prec@5 77.000 (78.551)
Epoch: [51][2800/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.9978 (2.0066)	Prec@1 47.000 (47.985)	Prec@5 81.000 (78.551)
Epoch: [51][2810/9018]	Time 0.626 (0.626)	Data 0.001 (0.004)	Loss 2.0835 (2.0069)	Prec@1 48.500 (47.975)	Prec@5 81.000 (78.549)
Epoch: [51][2820/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 2.2470 (2.0069)	Prec@1 47.000 (47.982)	Prec@5 75.500 (78.550)
Epoch: [51][2830/9018]	Time 0.757 (0.626)	Data 0.001 (0.004)	Loss 1.9858 (2.0067)	Prec@1 48.500 (47.988)	Prec@5 75.500 (78.553)
Epoch: [51][2840/9018]	Time 0.629 (0.626)	Data 0.001 (0.004)	Loss 2.0484 (2.0069)	Prec@1 46.500 (47.984)	Prec@5 78.500 (78.550)
Epoch: [51][2850/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 2.1053 (2.0067)	Prec@1 48.000 (47.989)	Prec@5 77.500 (78.559)
Epoch: [51][2860/9018]	Time 0.592 (0.626)	Data 0.001 (0.004)	Loss 2.1216 (2.0066)	Prec@1 41.000 (47.987)	Prec@5 80.500 (78.564)
Epoch: [51][2870/9018]	Time 0.620 (0.626)	Data 0.008 (0.004)	Loss 1.9409 (2.0069)	Prec@1 52.500 (47.980)	Prec@5 81.000 (78.561)
Epoch: [51][2880/9018]	Time 0.663 (0.626)	Data 0.001 (0.004)	Loss 2.1829 (2.0072)	Prec@1 46.500 (47.979)	Prec@5 74.500 (78.555)
Epoch: [51][2890/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 2.2866 (2.0073)	Prec@1 45.500 (47.981)	Prec@5 71.500 (78.551)
Epoch: [51][2900/9018]	Time 0.615 (0.626)	Data 0.015 (0.004)	Loss 1.9358 (2.0074)	Prec@1 47.000 (47.979)	Prec@5 78.500 (78.552)
Epoch: [51][2910/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.8135 (2.0077)	Prec@1 55.500 (47.978)	Prec@5 80.500 (78.545)
Epoch: [51][2920/9018]	Time 0.628 (0.626)	Data 0.001 (0.004)	Loss 2.0635 (2.0077)	Prec@1 48.000 (47.981)	Prec@5 80.000 (78.543)
Epoch: [51][2930/9018]	Time 0.628 (0.626)	Data 0.001 (0.004)	Loss 2.0393 (2.0080)	Prec@1 53.000 (47.978)	Prec@5 79.000 (78.537)
Epoch: [51][2940/9018]	Time 0.608 (0.626)	Data 0.013 (0.004)	Loss 2.0418 (2.0080)	Prec@1 40.500 (47.974)	Prec@5 80.000 (78.537)
Epoch: [51][2950/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.9882 (2.0082)	Prec@1 45.500 (47.965)	Prec@5 79.000 (78.535)
Epoch: [51][2960/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 2.0186 (2.0083)	Prec@1 48.000 (47.965)	Prec@5 78.500 (78.535)
Epoch: [51][2970/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 2.0137 (2.0083)	Prec@1 42.500 (47.963)	Prec@5 79.500 (78.535)
Epoch: [51][2980/9018]	Time 0.638 (0.626)	Data 0.001 (0.004)	Loss 2.1040 (2.0086)	Prec@1 46.500 (47.956)	Prec@5 73.500 (78.527)
Epoch: [51][2990/9018]	Time 0.636 (0.626)	Data 0.016 (0.004)	Loss 2.0768 (2.0088)	Prec@1 43.500 (47.955)	Prec@5 75.500 (78.519)
Epoch: [51][3000/9018]	Time 0.598 (0.626)	Data 0.001 (0.004)	Loss 2.0378 (2.0089)	Prec@1 51.000 (47.956)	Prec@5 77.500 (78.516)
Epoch: [51][3010/9018]	Time 0.641 (0.626)	Data 0.001 (0.004)	Loss 2.0464 (2.0091)	Prec@1 52.000 (47.955)	Prec@5 78.000 (78.511)
Epoch: [51][3020/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 2.1485 (2.0092)	Prec@1 45.500 (47.952)	Prec@5 78.500 (78.512)
Epoch: [51][3030/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 2.1234 (2.0091)	Prec@1 43.500 (47.958)	Prec@5 78.000 (78.513)
Epoch: [51][3040/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 2.0478 (2.0095)	Prec@1 43.500 (47.948)	Prec@5 81.000 (78.509)
Epoch: [51][3050/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 2.1492 (2.0097)	Prec@1 44.500 (47.945)	Prec@5 74.500 (78.503)
Epoch: [51][3060/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 1.9100 (2.0095)	Prec@1 51.000 (47.953)	Prec@5 80.500 (78.505)
Epoch: [51][3070/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 2.0713 (2.0094)	Prec@1 48.000 (47.955)	Prec@5 72.500 (78.507)
Epoch: [51][3080/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.7414 (2.0094)	Prec@1 53.500 (47.954)	Prec@5 80.000 (78.507)
Epoch: [51][3090/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.8806 (2.0094)	Prec@1 50.000 (47.959)	Prec@5 82.000 (78.510)
Epoch: [51][3100/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.9281 (2.0095)	Prec@1 52.500 (47.960)	Prec@5 81.000 (78.510)
Epoch: [51][3110/9018]	Time 0.756 (0.626)	Data 0.001 (0.004)	Loss 2.1211 (2.0095)	Prec@1 45.500 (47.956)	Prec@5 78.000 (78.509)
Epoch: [51][3120/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.9980 (2.0096)	Prec@1 52.500 (47.956)	Prec@5 78.000 (78.510)
Epoch: [51][3130/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 2.1256 (2.0098)	Prec@1 42.500 (47.956)	Prec@5 75.000 (78.504)
Epoch: [51][3140/9018]	Time 0.643 (0.626)	Data 0.002 (0.004)	Loss 1.9848 (2.0098)	Prec@1 50.500 (47.959)	Prec@5 80.500 (78.508)
Epoch: [51][3150/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 2.0086 (2.0099)	Prec@1 51.000 (47.953)	Prec@5 77.500 (78.505)
Epoch: [51][3160/9018]	Time 0.784 (0.626)	Data 0.001 (0.004)	Loss 2.1427 (2.0100)	Prec@1 46.000 (47.956)	Prec@5 78.000 (78.505)
Epoch: [51][3170/9018]	Time 0.626 (0.626)	Data 0.001 (0.004)	Loss 1.9393 (2.0100)	Prec@1 48.500 (47.953)	Prec@5 79.000 (78.510)
Epoch: [51][3180/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.9157 (2.0100)	Prec@1 52.500 (47.954)	Prec@5 78.500 (78.509)
Epoch: [51][3190/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 2.0300 (2.0102)	Prec@1 46.000 (47.948)	Prec@5 79.000 (78.505)
Epoch: [51][3200/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 2.0197 (2.0102)	Prec@1 47.000 (47.945)	Prec@5 78.000 (78.507)
Epoch: [51][3210/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 2.0479 (2.0101)	Prec@1 50.500 (47.947)	Prec@5 78.500 (78.509)
Epoch: [51][3220/9018]	Time 0.637 (0.626)	Data 0.014 (0.004)	Loss 1.9033 (2.0100)	Prec@1 52.000 (47.949)	Prec@5 81.000 (78.508)
Epoch: [51][3230/9018]	Time 0.604 (0.626)	Data 0.017 (0.004)	Loss 2.0572 (2.0102)	Prec@1 47.500 (47.949)	Prec@5 74.500 (78.503)
Epoch: [51][3240/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 1.9589 (2.0102)	Prec@1 52.000 (47.950)	Prec@5 79.000 (78.504)
Epoch: [51][3250/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.6791 (2.0101)	Prec@1 54.500 (47.952)	Prec@5 83.500 (78.505)
Epoch: [51][3260/9018]	Time 0.646 (0.626)	Data 0.001 (0.004)	Loss 2.0319 (2.0103)	Prec@1 45.000 (47.950)	Prec@5 81.500 (78.508)
Epoch: [51][3270/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 2.1745 (2.0103)	Prec@1 43.500 (47.953)	Prec@5 77.500 (78.510)
Epoch: [51][3280/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.9164 (2.0102)	Prec@1 49.500 (47.950)	Prec@5 81.000 (78.514)
Epoch: [51][3290/9018]	Time 0.629 (0.626)	Data 0.013 (0.004)	Loss 2.2822 (2.0103)	Prec@1 38.500 (47.945)	Prec@5 74.000 (78.514)
Epoch: [51][3300/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 2.1542 (2.0103)	Prec@1 44.500 (47.944)	Prec@5 79.500 (78.512)
Epoch: [51][3310/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 2.1895 (2.0105)	Prec@1 43.500 (47.939)	Prec@5 73.000 (78.510)
Epoch: [51][3320/9018]	Time 0.611 (0.626)	Data 0.004 (0.004)	Loss 1.9231 (2.0107)	Prec@1 50.500 (47.938)	Prec@5 82.000 (78.506)
Epoch: [51][3330/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 2.1865 (2.0107)	Prec@1 45.500 (47.940)	Prec@5 77.000 (78.505)
Epoch: [51][3340/9018]	Time 0.640 (0.626)	Data 0.008 (0.004)	Loss 1.9653 (2.0106)	Prec@1 49.000 (47.941)	Prec@5 81.000 (78.509)
Epoch: [51][3350/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 2.2969 (2.0108)	Prec@1 41.500 (47.940)	Prec@5 73.000 (78.508)
Epoch: [51][3360/9018]	Time 0.631 (0.626)	Data 0.001 (0.004)	Loss 1.9336 (2.0107)	Prec@1 51.500 (47.940)	Prec@5 78.000 (78.507)
Epoch: [51][3370/9018]	Time 0.622 (0.626)	Data 0.017 (0.004)	Loss 1.8377 (2.0106)	Prec@1 52.500 (47.941)	Prec@5 81.500 (78.509)
Epoch: [51][3380/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 2.1124 (2.0106)	Prec@1 46.000 (47.940)	Prec@5 75.000 (78.505)
Epoch: [51][3390/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.8836 (2.0106)	Prec@1 51.500 (47.943)	Prec@5 79.500 (78.504)
Epoch: [51][3400/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.8995 (2.0107)	Prec@1 48.000 (47.942)	Prec@5 79.000 (78.504)
Epoch: [51][3410/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 2.3410 (2.0109)	Prec@1 44.000 (47.939)	Prec@5 71.000 (78.500)
Epoch: [51][3420/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.9614 (2.0111)	Prec@1 49.500 (47.935)	Prec@5 79.000 (78.497)
Epoch: [51][3430/9018]	Time 0.624 (0.626)	Data 0.001 (0.004)	Loss 2.0612 (2.0111)	Prec@1 47.000 (47.936)	Prec@5 79.500 (78.494)
Epoch: [51][3440/9018]	Time 0.744 (0.626)	Data 0.001 (0.004)	Loss 2.0065 (2.0114)	Prec@1 48.500 (47.932)	Prec@5 76.000 (78.489)
Epoch: [51][3450/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 2.0282 (2.0114)	Prec@1 48.000 (47.929)	Prec@5 80.000 (78.490)
Epoch: [51][3460/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 2.1499 (2.0112)	Prec@1 43.000 (47.931)	Prec@5 73.000 (78.492)
Epoch: [51][3470/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.9721 (2.0112)	Prec@1 47.000 (47.931)	Prec@5 78.000 (78.494)
Epoch: [51][3480/9018]	Time 0.617 (0.626)	Data 0.014 (0.004)	Loss 1.9672 (2.0113)	Prec@1 49.000 (47.932)	Prec@5 80.000 (78.491)
Epoch: [51][3490/9018]	Time 0.756 (0.626)	Data 0.001 (0.004)	Loss 1.9895 (2.0112)	Prec@1 48.500 (47.938)	Prec@5 77.000 (78.494)
Epoch: [51][3500/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.9996 (2.0111)	Prec@1 49.000 (47.938)	Prec@5 78.500 (78.493)
Epoch: [51][3510/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 2.0410 (2.0112)	Prec@1 47.000 (47.934)	Prec@5 75.000 (78.490)
Epoch: [51][3520/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 2.1387 (2.0112)	Prec@1 47.500 (47.934)	Prec@5 76.000 (78.492)
Epoch: [51][3530/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 2.0328 (2.0113)	Prec@1 45.000 (47.940)	Prec@5 75.000 (78.490)
Epoch: [51][3540/9018]	Time 0.615 (0.626)	Data 0.017 (0.004)	Loss 1.9096 (2.0113)	Prec@1 48.000 (47.939)	Prec@5 79.000 (78.489)
Epoch: [51][3550/9018]	Time 0.623 (0.626)	Data 0.001 (0.004)	Loss 2.0473 (2.0113)	Prec@1 44.500 (47.942)	Prec@5 78.500 (78.491)
Epoch: [51][3560/9018]	Time 0.635 (0.626)	Data 0.014 (0.004)	Loss 1.8693 (2.0113)	Prec@1 50.000 (47.944)	Prec@5 81.500 (78.490)
Epoch: [51][3570/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.9768 (2.0113)	Prec@1 46.000 (47.940)	Prec@5 79.000 (78.488)
Epoch: [51][3580/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 2.0757 (2.0113)	Prec@1 45.500 (47.936)	Prec@5 79.000 (78.487)
Epoch: [51][3590/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 2.0899 (2.0114)	Prec@1 44.000 (47.937)	Prec@5 76.500 (78.488)
Epoch: [51][3600/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 2.0241 (2.0115)	Prec@1 50.000 (47.934)	Prec@5 78.500 (78.488)
Epoch: [51][3610/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 2.2187 (2.0116)	Prec@1 37.500 (47.933)	Prec@5 74.500 (78.488)
Epoch: [51][3620/9018]	Time 0.598 (0.626)	Data 0.001 (0.004)	Loss 2.0642 (2.0116)	Prec@1 48.000 (47.937)	Prec@5 78.000 (78.488)
Epoch: [51][3630/9018]	Time 0.640 (0.626)	Data 0.001 (0.004)	Loss 1.7390 (2.0113)	Prec@1 55.500 (47.942)	Prec@5 83.000 (78.491)
Epoch: [51][3640/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.9971 (2.0113)	Prec@1 51.000 (47.943)	Prec@5 77.500 (78.489)
Epoch: [51][3650/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 2.1958 (2.0112)	Prec@1 42.000 (47.943)	Prec@5 74.000 (78.490)
Epoch: [51][3660/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 2.1251 (2.0113)	Prec@1 45.500 (47.943)	Prec@5 73.000 (78.488)
Epoch: [51][3670/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 1.8321 (2.0112)	Prec@1 51.500 (47.942)	Prec@5 80.000 (78.487)
Epoch: [51][3680/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.8539 (2.0113)	Prec@1 51.000 (47.944)	Prec@5 81.000 (78.486)
Epoch: [51][3690/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 2.0691 (2.0113)	Prec@1 50.500 (47.946)	Prec@5 76.000 (78.484)
Epoch: [51][3700/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 1.9055 (2.0113)	Prec@1 50.000 (47.945)	Prec@5 76.000 (78.482)
Epoch: [51][3710/9018]	Time 0.606 (0.626)	Data 0.001 (0.004)	Loss 2.0990 (2.0112)	Prec@1 45.500 (47.947)	Prec@5 78.500 (78.483)
Epoch: [51][3720/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 2.0379 (2.0114)	Prec@1 46.000 (47.946)	Prec@5 78.000 (78.482)
Epoch: [51][3730/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 2.0875 (2.0113)	Prec@1 50.500 (47.953)	Prec@5 81.000 (78.484)
Epoch: [51][3740/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 2.0694 (2.0112)	Prec@1 43.000 (47.950)	Prec@5 78.000 (78.485)
Epoch: [51][3750/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 2.1079 (2.0111)	Prec@1 45.000 (47.952)	Prec@5 75.500 (78.485)
Epoch: [51][3760/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 2.0851 (2.0113)	Prec@1 49.000 (47.948)	Prec@5 77.500 (78.478)
Epoch: [51][3770/9018]	Time 0.800 (0.626)	Data 0.001 (0.004)	Loss 1.7937 (2.0114)	Prec@1 53.000 (47.946)	Prec@5 80.500 (78.475)
Epoch: [51][3780/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 2.0275 (2.0113)	Prec@1 48.000 (47.950)	Prec@5 78.500 (78.478)
Epoch: [51][3790/9018]	Time 0.617 (0.626)	Data 0.014 (0.004)	Loss 2.0679 (2.0112)	Prec@1 42.000 (47.950)	Prec@5 79.000 (78.483)
Epoch: [51][3800/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 2.1634 (2.0112)	Prec@1 42.500 (47.947)	Prec@5 76.000 (78.482)
Epoch: [51][3810/9018]	Time 0.602 (0.626)	Data 0.002 (0.004)	Loss 2.0731 (2.0110)	Prec@1 48.000 (47.946)	Prec@5 78.000 (78.485)
Epoch: [51][3820/9018]	Time 0.729 (0.626)	Data 0.001 (0.004)	Loss 2.0840 (2.0110)	Prec@1 44.500 (47.943)	Prec@5 78.500 (78.486)
Epoch: [51][3830/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.9414 (2.0110)	Prec@1 47.500 (47.943)	Prec@5 80.000 (78.488)
Epoch: [51][3840/9018]	Time 0.631 (0.626)	Data 0.017 (0.004)	Loss 2.0837 (2.0112)	Prec@1 48.500 (47.938)	Prec@5 77.000 (78.485)
Epoch: [51][3850/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.8830 (2.0112)	Prec@1 52.000 (47.936)	Prec@5 77.000 (78.484)
Epoch: [51][3860/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 2.1034 (2.0113)	Prec@1 42.500 (47.934)	Prec@5 77.000 (78.481)
Epoch: [51][3870/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 2.0624 (2.0111)	Prec@1 45.000 (47.937)	Prec@5 80.500 (78.484)
Epoch: [51][3880/9018]	Time 0.628 (0.626)	Data 0.001 (0.004)	Loss 1.9066 (2.0110)	Prec@1 47.000 (47.939)	Prec@5 78.000 (78.485)
Epoch: [51][3890/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 2.1878 (2.0110)	Prec@1 44.500 (47.935)	Prec@5 75.000 (78.485)
Epoch: [51][3900/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.9939 (2.0109)	Prec@1 50.000 (47.936)	Prec@5 76.500 (78.487)
Epoch: [51][3910/9018]	Time 0.597 (0.626)	Data 0.001 (0.004)	Loss 2.1356 (2.0110)	Prec@1 45.000 (47.934)	Prec@5 78.000 (78.486)
Epoch: [51][3920/9018]	Time 0.623 (0.626)	Data 0.001 (0.004)	Loss 2.0554 (2.0113)	Prec@1 44.500 (47.926)	Prec@5 79.500 (78.479)
Epoch: [51][3930/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 2.0297 (2.0115)	Prec@1 48.000 (47.923)	Prec@5 78.000 (78.476)
Epoch: [51][3940/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 2.3604 (2.0117)	Prec@1 42.500 (47.918)	Prec@5 70.000 (78.472)
Epoch: [51][3950/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.9535 (2.0117)	Prec@1 51.000 (47.917)	Prec@5 79.000 (78.472)
Epoch: [51][3960/9018]	Time 0.648 (0.626)	Data 0.001 (0.004)	Loss 1.9910 (2.0118)	Prec@1 48.500 (47.919)	Prec@5 81.000 (78.471)
Epoch: [51][3970/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 2.1857 (2.0119)	Prec@1 52.500 (47.920)	Prec@5 75.500 (78.470)
Epoch: [51][3980/9018]	Time 0.631 (0.626)	Data 0.002 (0.004)	Loss 2.1504 (2.0120)	Prec@1 47.500 (47.919)	Prec@5 77.000 (78.469)
Epoch: [51][3990/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.8608 (2.0119)	Prec@1 49.500 (47.923)	Prec@5 83.000 (78.473)
Epoch: [51][4000/9018]	Time 0.603 (0.626)	Data 0.005 (0.004)	Loss 1.8681 (2.0118)	Prec@1 53.500 (47.923)	Prec@5 78.000 (78.474)
Epoch: [51][4010/9018]	Time 0.637 (0.626)	Data 0.001 (0.004)	Loss 1.9032 (2.0117)	Prec@1 52.500 (47.927)	Prec@5 79.500 (78.475)
Epoch: [51][4020/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 1.9783 (2.0117)	Prec@1 52.500 (47.926)	Prec@5 75.500 (78.473)
Epoch: [51][4030/9018]	Time 0.626 (0.626)	Data 0.015 (0.004)	Loss 2.1761 (2.0120)	Prec@1 43.500 (47.919)	Prec@5 77.000 (78.470)
Epoch: [51][4040/9018]	Time 0.640 (0.626)	Data 0.001 (0.004)	Loss 2.1223 (2.0118)	Prec@1 46.500 (47.918)	Prec@5 74.000 (78.475)
Epoch: [51][4050/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 2.0628 (2.0118)	Prec@1 48.000 (47.920)	Prec@5 76.000 (78.475)
Epoch: [51][4060/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 2.1539 (2.0118)	Prec@1 49.000 (47.922)	Prec@5 74.500 (78.475)
Epoch: [51][4070/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.9425 (2.0117)	Prec@1 50.000 (47.921)	Prec@5 82.000 (78.478)
Epoch: [51][4080/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.1798 (2.0117)	Prec@1 44.000 (47.922)	Prec@5 77.000 (78.478)
Epoch: [51][4090/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 1.9635 (2.0117)	Prec@1 47.000 (47.922)	Prec@5 80.500 (78.478)
Epoch: [51][4100/9018]	Time 0.735 (0.626)	Data 0.001 (0.003)	Loss 2.0591 (2.0117)	Prec@1 48.000 (47.920)	Prec@5 75.000 (78.478)
Epoch: [51][4110/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.0273 (2.0117)	Prec@1 49.500 (47.918)	Prec@5 77.500 (78.478)
Epoch: [51][4120/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 1.9819 (2.0117)	Prec@1 47.000 (47.920)	Prec@5 77.000 (78.479)
Epoch: [51][4130/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 2.2383 (2.0119)	Prec@1 43.000 (47.917)	Prec@5 76.000 (78.475)
Epoch: [51][4140/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 2.1570 (2.0118)	Prec@1 45.500 (47.920)	Prec@5 77.000 (78.474)
Epoch: [51][4150/9018]	Time 0.724 (0.626)	Data 0.001 (0.003)	Loss 2.0296 (2.0118)	Prec@1 48.000 (47.919)	Prec@5 77.500 (78.474)
Epoch: [51][4160/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.9012 (2.0117)	Prec@1 52.000 (47.919)	Prec@5 81.500 (78.477)
Epoch: [51][4170/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 1.8308 (2.0116)	Prec@1 55.500 (47.922)	Prec@5 81.500 (78.479)
Epoch: [51][4180/9018]	Time 0.597 (0.626)	Data 0.001 (0.003)	Loss 1.9316 (2.0117)	Prec@1 51.000 (47.923)	Prec@5 81.000 (78.479)
Epoch: [51][4190/9018]	Time 0.615 (0.626)	Data 0.017 (0.003)	Loss 2.0340 (2.0117)	Prec@1 48.000 (47.923)	Prec@5 79.500 (78.479)
Epoch: [51][4200/9018]	Time 0.629 (0.626)	Data 0.013 (0.003)	Loss 2.0994 (2.0119)	Prec@1 47.500 (47.921)	Prec@5 75.500 (78.475)
Epoch: [51][4210/9018]	Time 0.592 (0.626)	Data 0.001 (0.003)	Loss 2.0213 (2.0119)	Prec@1 47.500 (47.917)	Prec@5 79.000 (78.473)
Epoch: [51][4220/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.1355 (2.0120)	Prec@1 44.500 (47.916)	Prec@5 78.500 (78.473)
Epoch: [51][4230/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.0008 (2.0121)	Prec@1 49.000 (47.914)	Prec@5 80.500 (78.471)
Epoch: [51][4240/9018]	Time 0.591 (0.626)	Data 0.001 (0.003)	Loss 2.0692 (2.0121)	Prec@1 46.500 (47.914)	Prec@5 76.500 (78.471)
Epoch: [51][4250/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 1.9529 (2.0121)	Prec@1 49.500 (47.915)	Prec@5 80.000 (78.470)
Epoch: [51][4260/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 1.8613 (2.0122)	Prec@1 49.500 (47.916)	Prec@5 81.500 (78.467)
Epoch: [51][4270/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.0218 (2.0124)	Prec@1 43.000 (47.912)	Prec@5 81.500 (78.463)
Epoch: [51][4280/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 1.9491 (2.0124)	Prec@1 46.500 (47.912)	Prec@5 82.500 (78.464)
Epoch: [51][4290/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.8903 (2.0124)	Prec@1 49.500 (47.914)	Prec@5 81.500 (78.465)
Epoch: [51][4300/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 1.9999 (2.0123)	Prec@1 46.000 (47.913)	Prec@5 76.500 (78.465)
Epoch: [51][4310/9018]	Time 0.631 (0.626)	Data 0.001 (0.003)	Loss 2.0443 (2.0124)	Prec@1 45.000 (47.911)	Prec@5 77.500 (78.462)
Epoch: [51][4320/9018]	Time 0.619 (0.626)	Data 0.016 (0.003)	Loss 2.1163 (2.0124)	Prec@1 41.500 (47.909)	Prec@5 78.000 (78.461)
Epoch: [51][4330/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.0453 (2.0125)	Prec@1 51.500 (47.909)	Prec@5 79.500 (78.460)
Epoch: [51][4340/9018]	Time 0.591 (0.626)	Data 0.001 (0.003)	Loss 2.1889 (2.0124)	Prec@1 40.000 (47.907)	Prec@5 74.000 (78.460)
Epoch: [51][4350/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.9591 (2.0125)	Prec@1 47.000 (47.905)	Prec@5 78.000 (78.458)
Epoch: [51][4360/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.2224 (2.0126)	Prec@1 43.500 (47.905)	Prec@5 75.500 (78.457)
Epoch: [51][4370/9018]	Time 0.605 (0.626)	Data 0.019 (0.003)	Loss 2.1473 (2.0126)	Prec@1 44.000 (47.903)	Prec@5 73.000 (78.455)
Epoch: [51][4380/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 1.9945 (2.0125)	Prec@1 45.500 (47.903)	Prec@5 81.000 (78.458)
Epoch: [51][4390/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 2.1732 (2.0125)	Prec@1 50.500 (47.907)	Prec@5 74.500 (78.457)
Epoch: [51][4400/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.2080 (2.0125)	Prec@1 43.500 (47.903)	Prec@5 75.000 (78.455)
Epoch: [51][4410/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.0213 (2.0126)	Prec@1 49.500 (47.903)	Prec@5 75.500 (78.454)
Epoch: [51][4420/9018]	Time 0.636 (0.626)	Data 0.016 (0.003)	Loss 2.0975 (2.0126)	Prec@1 47.000 (47.905)	Prec@5 76.000 (78.452)
Epoch: [51][4430/9018]	Time 0.748 (0.626)	Data 0.001 (0.003)	Loss 1.9161 (2.0126)	Prec@1 46.000 (47.907)	Prec@5 80.000 (78.452)
Epoch: [51][4440/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.0043 (2.0126)	Prec@1 49.500 (47.907)	Prec@5 81.500 (78.454)
Epoch: [51][4450/9018]	Time 0.619 (0.626)	Data 0.009 (0.003)	Loss 2.0133 (2.0128)	Prec@1 49.500 (47.907)	Prec@5 80.500 (78.452)
Epoch: [51][4460/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 2.0340 (2.0128)	Prec@1 44.500 (47.905)	Prec@5 81.000 (78.454)
Epoch: [51][4470/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0637 (2.0129)	Prec@1 47.000 (47.901)	Prec@5 78.500 (78.450)
Epoch: [51][4480/9018]	Time 0.741 (0.626)	Data 0.001 (0.003)	Loss 1.9973 (2.0128)	Prec@1 47.500 (47.903)	Prec@5 79.500 (78.450)
Epoch: [51][4490/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 2.1514 (2.0131)	Prec@1 45.500 (47.898)	Prec@5 73.500 (78.443)
Epoch: [51][4500/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 1.9438 (2.0131)	Prec@1 48.000 (47.896)	Prec@5 80.000 (78.442)
Epoch: [51][4510/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 2.0341 (2.0132)	Prec@1 48.500 (47.893)	Prec@5 79.000 (78.440)
Epoch: [51][4520/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 2.0444 (2.0133)	Prec@1 43.000 (47.889)	Prec@5 77.000 (78.435)
Epoch: [51][4530/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 1.9837 (2.0133)	Prec@1 45.500 (47.890)	Prec@5 78.000 (78.436)
Epoch: [51][4540/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.8997 (2.0133)	Prec@1 47.500 (47.890)	Prec@5 81.000 (78.434)
Epoch: [51][4550/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 1.8889 (2.0133)	Prec@1 49.500 (47.894)	Prec@5 76.500 (78.434)
Epoch: [51][4560/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 1.8865 (2.0134)	Prec@1 50.000 (47.893)	Prec@5 84.000 (78.435)
Epoch: [51][4570/9018]	Time 0.592 (0.626)	Data 0.001 (0.003)	Loss 2.0084 (2.0133)	Prec@1 45.000 (47.893)	Prec@5 82.500 (78.435)
Epoch: [51][4580/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 2.1250 (2.0134)	Prec@1 42.000 (47.890)	Prec@5 75.500 (78.433)
Epoch: [51][4590/9018]	Time 0.590 (0.626)	Data 0.001 (0.003)	Loss 1.9679 (2.0134)	Prec@1 46.000 (47.888)	Prec@5 79.000 (78.430)
Epoch: [51][4600/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 1.9731 (2.0135)	Prec@1 46.000 (47.886)	Prec@5 78.000 (78.430)
Epoch: [51][4610/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.9164 (2.0134)	Prec@1 51.000 (47.887)	Prec@5 79.500 (78.432)
Epoch: [51][4620/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.1111 (2.0135)	Prec@1 47.000 (47.887)	Prec@5 76.000 (78.431)
Epoch: [51][4630/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.0837 (2.0135)	Prec@1 47.000 (47.885)	Prec@5 75.500 (78.430)
Epoch: [51][4640/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 1.9943 (2.0133)	Prec@1 52.000 (47.889)	Prec@5 78.500 (78.433)
Epoch: [51][4650/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.0448 (2.0133)	Prec@1 49.000 (47.890)	Prec@5 77.500 (78.434)
Epoch: [51][4660/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 1.9421 (2.0132)	Prec@1 50.000 (47.892)	Prec@5 76.500 (78.434)
Epoch: [51][4670/9018]	Time 0.592 (0.626)	Data 0.001 (0.003)	Loss 2.0095 (2.0131)	Prec@1 48.500 (47.894)	Prec@5 77.500 (78.432)
Epoch: [51][4680/9018]	Time 0.591 (0.626)	Data 0.001 (0.003)	Loss 2.0099 (2.0133)	Prec@1 49.000 (47.891)	Prec@5 80.000 (78.428)
Epoch: [51][4690/9018]	Time 0.603 (0.626)	Data 0.005 (0.003)	Loss 2.0206 (2.0133)	Prec@1 43.500 (47.889)	Prec@5 77.000 (78.430)
Epoch: [51][4700/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.1349 (2.0134)	Prec@1 45.000 (47.888)	Prec@5 75.500 (78.426)
Epoch: [51][4710/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 2.0885 (2.0133)	Prec@1 46.500 (47.892)	Prec@5 74.500 (78.428)
Epoch: [51][4720/9018]	Time 0.639 (0.626)	Data 0.001 (0.003)	Loss 2.1294 (2.0134)	Prec@1 45.000 (47.890)	Prec@5 77.000 (78.426)
Epoch: [51][4730/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 2.3118 (2.0136)	Prec@1 43.500 (47.887)	Prec@5 74.000 (78.426)
Epoch: [51][4740/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 1.7932 (2.0136)	Prec@1 54.500 (47.887)	Prec@5 80.500 (78.426)
Epoch: [51][4750/9018]	Time 0.631 (0.626)	Data 0.001 (0.003)	Loss 2.0470 (2.0136)	Prec@1 49.000 (47.889)	Prec@5 78.000 (78.425)
Epoch: [51][4760/9018]	Time 0.738 (0.626)	Data 0.001 (0.003)	Loss 2.2163 (2.0137)	Prec@1 41.500 (47.885)	Prec@5 72.500 (78.422)
Epoch: [51][4770/9018]	Time 0.596 (0.626)	Data 0.014 (0.003)	Loss 1.9344 (2.0137)	Prec@1 49.000 (47.886)	Prec@5 79.500 (78.423)
Epoch: [51][4780/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 1.9224 (2.0137)	Prec@1 49.500 (47.883)	Prec@5 83.000 (78.422)
Epoch: [51][4790/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 2.1066 (2.0138)	Prec@1 46.000 (47.885)	Prec@5 74.500 (78.419)
Epoch: [51][4800/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.2705 (2.0139)	Prec@1 44.000 (47.884)	Prec@5 73.000 (78.419)
Epoch: [51][4810/9018]	Time 0.767 (0.626)	Data 0.001 (0.003)	Loss 1.9977 (2.0139)	Prec@1 47.000 (47.885)	Prec@5 80.000 (78.419)
Epoch: [51][4820/9018]	Time 0.606 (0.626)	Data 0.010 (0.003)	Loss 2.0790 (2.0139)	Prec@1 47.000 (47.883)	Prec@5 76.500 (78.417)
Epoch: [51][4830/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 1.8649 (2.0139)	Prec@1 48.000 (47.882)	Prec@5 82.500 (78.416)
Epoch: [51][4840/9018]	Time 0.607 (0.626)	Data 0.013 (0.003)	Loss 2.1371 (2.0140)	Prec@1 44.500 (47.882)	Prec@5 74.500 (78.412)
Epoch: [51][4850/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.3243 (2.0142)	Prec@1 41.000 (47.879)	Prec@5 72.000 (78.411)
Epoch: [51][4860/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.1539 (2.0143)	Prec@1 47.500 (47.878)	Prec@5 77.500 (78.411)
Epoch: [51][4870/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 1.7601 (2.0143)	Prec@1 53.000 (47.878)	Prec@5 81.000 (78.411)
Epoch: [51][4880/9018]	Time 0.632 (0.626)	Data 0.017 (0.003)	Loss 2.0526 (2.0142)	Prec@1 44.000 (47.879)	Prec@5 81.000 (78.413)
Epoch: [51][4890/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 1.9262 (2.0143)	Prec@1 49.500 (47.877)	Prec@5 81.000 (78.410)
Epoch: [51][4900/9018]	Time 0.600 (0.626)	Data 0.017 (0.003)	Loss 1.9200 (2.0143)	Prec@1 50.000 (47.880)	Prec@5 82.000 (78.411)
Epoch: [51][4910/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.0764 (2.0142)	Prec@1 47.000 (47.879)	Prec@5 75.500 (78.411)
Epoch: [51][4920/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.2902 (2.0141)	Prec@1 44.500 (47.883)	Prec@5 72.000 (78.413)
Epoch: [51][4930/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 2.0268 (2.0141)	Prec@1 46.000 (47.882)	Prec@5 78.000 (78.413)
Epoch: [51][4940/9018]	Time 0.660 (0.626)	Data 0.001 (0.003)	Loss 2.0110 (2.0142)	Prec@1 44.500 (47.883)	Prec@5 80.500 (78.412)
Epoch: [51][4950/9018]	Time 0.653 (0.626)	Data 0.001 (0.003)	Loss 1.9038 (2.0142)	Prec@1 50.000 (47.885)	Prec@5 81.000 (78.411)
Epoch: [51][4960/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.8347 (2.0142)	Prec@1 53.500 (47.883)	Prec@5 84.500 (78.410)
Epoch: [51][4970/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 2.0821 (2.0142)	Prec@1 51.000 (47.883)	Prec@5 78.000 (78.411)
Epoch: [51][4980/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 1.9351 (2.0140)	Prec@1 49.500 (47.885)	Prec@5 79.500 (78.413)
Epoch: [51][4990/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.0703 (2.0141)	Prec@1 45.000 (47.884)	Prec@5 75.500 (78.413)
Epoch: [51][5000/9018]	Time 0.641 (0.626)	Data 0.001 (0.003)	Loss 2.1476 (2.0142)	Prec@1 43.000 (47.884)	Prec@5 75.500 (78.411)
Epoch: [51][5010/9018]	Time 0.645 (0.626)	Data 0.001 (0.003)	Loss 2.0669 (2.0142)	Prec@1 47.500 (47.885)	Prec@5 74.000 (78.412)
Epoch: [51][5020/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.9272 (2.0142)	Prec@1 47.000 (47.882)	Prec@5 80.500 (78.411)
Epoch: [51][5030/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.2169 (2.0143)	Prec@1 39.500 (47.878)	Prec@5 71.000 (78.409)
Epoch: [51][5040/9018]	Time 0.614 (0.626)	Data 0.002 (0.003)	Loss 2.0022 (2.0143)	Prec@1 48.500 (47.878)	Prec@5 78.000 (78.409)
Epoch: [51][5050/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 2.1364 (2.0141)	Prec@1 48.500 (47.882)	Prec@5 74.500 (78.412)
Epoch: [51][5060/9018]	Time 0.635 (0.626)	Data 0.007 (0.003)	Loss 1.9351 (2.0141)	Prec@1 47.500 (47.883)	Prec@5 79.000 (78.412)
Epoch: [51][5070/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.3025 (2.0141)	Prec@1 42.000 (47.880)	Prec@5 76.000 (78.412)
Epoch: [51][5080/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.8636 (2.0142)	Prec@1 50.500 (47.881)	Prec@5 81.000 (78.412)
Epoch: [51][5090/9018]	Time 0.745 (0.626)	Data 0.001 (0.003)	Loss 2.1038 (2.0141)	Prec@1 43.000 (47.883)	Prec@5 77.500 (78.412)
Epoch: [51][5100/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.8179 (2.0140)	Prec@1 52.500 (47.882)	Prec@5 79.500 (78.413)
Epoch: [51][5110/9018]	Time 0.658 (0.626)	Data 0.001 (0.003)	Loss 2.0555 (2.0140)	Prec@1 46.500 (47.883)	Prec@5 77.500 (78.410)
Epoch: [51][5120/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 2.0085 (2.0142)	Prec@1 45.000 (47.880)	Prec@5 78.500 (78.408)
Epoch: [51][5130/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.1322 (2.0142)	Prec@1 43.500 (47.876)	Prec@5 74.500 (78.407)
Epoch: [51][5140/9018]	Time 0.723 (0.626)	Data 0.001 (0.003)	Loss 1.8626 (2.0142)	Prec@1 48.000 (47.875)	Prec@5 81.500 (78.405)
Epoch: [51][5150/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 2.0396 (2.0143)	Prec@1 49.000 (47.871)	Prec@5 80.500 (78.405)
Epoch: [51][5160/9018]	Time 0.667 (0.626)	Data 0.001 (0.003)	Loss 1.9712 (2.0144)	Prec@1 49.000 (47.871)	Prec@5 79.500 (78.403)
Epoch: [51][5170/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 2.1532 (2.0145)	Prec@1 44.500 (47.866)	Prec@5 78.500 (78.402)
Epoch: [51][5180/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 2.0451 (2.0146)	Prec@1 48.000 (47.864)	Prec@5 75.000 (78.398)
Epoch: [51][5190/9018]	Time 0.617 (0.626)	Data 0.004 (0.003)	Loss 1.9346 (2.0147)	Prec@1 49.000 (47.861)	Prec@5 80.000 (78.396)
Epoch: [51][5200/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 1.7880 (2.0146)	Prec@1 49.000 (47.861)	Prec@5 86.000 (78.399)
Epoch: [51][5210/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 2.0610 (2.0146)	Prec@1 48.000 (47.862)	Prec@5 81.000 (78.399)
Epoch: [51][5220/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 2.0134 (2.0145)	Prec@1 51.000 (47.863)	Prec@5 78.500 (78.401)
Epoch: [51][5230/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 2.0786 (2.0145)	Prec@1 50.500 (47.864)	Prec@5 75.500 (78.402)
Epoch: [51][5240/9018]	Time 0.606 (0.626)	Data 0.015 (0.003)	Loss 2.1250 (2.0145)	Prec@1 43.000 (47.863)	Prec@5 78.500 (78.402)
Epoch: [51][5250/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.8826 (2.0145)	Prec@1 54.500 (47.865)	Prec@5 82.000 (78.403)
Epoch: [51][5260/9018]	Time 0.620 (0.626)	Data 0.015 (0.003)	Loss 1.9591 (2.0145)	Prec@1 47.000 (47.863)	Prec@5 79.500 (78.403)
Epoch: [51][5270/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 2.0149 (2.0146)	Prec@1 50.000 (47.859)	Prec@5 75.500 (78.402)
Epoch: [51][5280/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.0503 (2.0145)	Prec@1 47.000 (47.861)	Prec@5 76.000 (78.404)
Epoch: [51][5290/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.1433 (2.0146)	Prec@1 46.000 (47.860)	Prec@5 72.500 (78.403)
Epoch: [51][5300/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 2.0960 (2.0147)	Prec@1 43.000 (47.855)	Prec@5 76.000 (78.399)
Epoch: [51][5310/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 2.0129 (2.0147)	Prec@1 44.500 (47.854)	Prec@5 75.500 (78.398)
Epoch: [51][5320/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.2977 (2.0147)	Prec@1 40.500 (47.855)	Prec@5 74.000 (78.396)
Epoch: [51][5330/9018]	Time 0.616 (0.626)	Data 0.007 (0.003)	Loss 1.8297 (2.0147)	Prec@1 50.000 (47.853)	Prec@5 82.000 (78.394)
Epoch: [51][5340/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.0798 (2.0148)	Prec@1 45.000 (47.853)	Prec@5 74.500 (78.392)
Epoch: [51][5350/9018]	Time 0.613 (0.626)	Data 0.014 (0.003)	Loss 2.2140 (2.0148)	Prec@1 45.000 (47.854)	Prec@5 79.000 (78.391)
Epoch: [51][5360/9018]	Time 0.651 (0.626)	Data 0.001 (0.003)	Loss 2.0257 (2.0147)	Prec@1 48.000 (47.857)	Prec@5 77.500 (78.394)
Epoch: [51][5370/9018]	Time 0.637 (0.626)	Data 0.002 (0.003)	Loss 2.1129 (2.0148)	Prec@1 44.000 (47.855)	Prec@5 78.000 (78.393)
Epoch: [51][5380/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 1.9716 (2.0148)	Prec@1 45.000 (47.854)	Prec@5 78.500 (78.391)
Epoch: [51][5390/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 1.9038 (2.0147)	Prec@1 53.500 (47.856)	Prec@5 80.000 (78.393)
Epoch: [51][5400/9018]	Time 0.627 (0.626)	Data 0.002 (0.003)	Loss 2.2910 (2.0149)	Prec@1 46.500 (47.855)	Prec@5 76.500 (78.391)
Epoch: [51][5410/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 2.1021 (2.0149)	Prec@1 45.000 (47.856)	Prec@5 79.500 (78.391)
Epoch: [51][5420/9018]	Time 0.770 (0.626)	Data 0.015 (0.003)	Loss 1.8638 (2.0149)	Prec@1 53.500 (47.855)	Prec@5 83.000 (78.391)
Epoch: [51][5430/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.1158 (2.0150)	Prec@1 47.500 (47.853)	Prec@5 77.000 (78.390)
Epoch: [51][5440/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.9703 (2.0150)	Prec@1 52.000 (47.853)	Prec@5 76.000 (78.388)
Epoch: [51][5450/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.9206 (2.0151)	Prec@1 50.500 (47.854)	Prec@5 78.500 (78.387)
Epoch: [51][5460/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 1.9857 (2.0149)	Prec@1 51.000 (47.856)	Prec@5 77.000 (78.389)
Epoch: [51][5470/9018]	Time 0.715 (0.626)	Data 0.001 (0.003)	Loss 2.1737 (2.0148)	Prec@1 44.500 (47.859)	Prec@5 79.000 (78.393)
Epoch: [51][5480/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.9780 (2.0148)	Prec@1 51.500 (47.861)	Prec@5 82.000 (78.394)
Epoch: [51][5490/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 2.2392 (2.0149)	Prec@1 40.000 (47.858)	Prec@5 77.000 (78.393)
Epoch: [51][5500/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.9393 (2.0148)	Prec@1 48.500 (47.858)	Prec@5 79.000 (78.392)
Epoch: [51][5510/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.0869 (2.0150)	Prec@1 48.000 (47.859)	Prec@5 77.500 (78.390)
Epoch: [51][5520/9018]	Time 0.636 (0.626)	Data 0.001 (0.003)	Loss 2.0262 (2.0148)	Prec@1 46.500 (47.863)	Prec@5 78.500 (78.393)
Epoch: [51][5530/9018]	Time 0.607 (0.626)	Data 0.013 (0.003)	Loss 2.2338 (2.0148)	Prec@1 45.000 (47.864)	Prec@5 78.000 (78.395)
Epoch: [51][5540/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 2.0639 (2.0148)	Prec@1 45.000 (47.865)	Prec@5 78.500 (78.397)
Epoch: [51][5550/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 1.9024 (2.0149)	Prec@1 51.000 (47.866)	Prec@5 82.000 (78.398)
Epoch: [51][5560/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.1014 (2.0149)	Prec@1 49.000 (47.866)	Prec@5 78.000 (78.399)
Epoch: [51][5570/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.9543 (2.0149)	Prec@1 46.500 (47.864)	Prec@5 78.000 (78.398)
Epoch: [51][5580/9018]	Time 0.587 (0.626)	Data 0.001 (0.003)	Loss 2.1630 (2.0148)	Prec@1 46.000 (47.865)	Prec@5 78.000 (78.400)
Epoch: [51][5590/9018]	Time 0.591 (0.626)	Data 0.001 (0.003)	Loss 1.9956 (2.0149)	Prec@1 51.000 (47.864)	Prec@5 74.500 (78.399)
Epoch: [51][5600/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.9482 (2.0150)	Prec@1 52.500 (47.858)	Prec@5 78.000 (78.397)
Epoch: [51][5610/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.0132 (2.0151)	Prec@1 46.500 (47.855)	Prec@5 75.500 (78.398)
Epoch: [51][5620/9018]	Time 0.643 (0.626)	Data 0.015 (0.003)	Loss 2.0728 (2.0152)	Prec@1 47.000 (47.855)	Prec@5 78.500 (78.396)
Epoch: [51][5630/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 1.7531 (2.0152)	Prec@1 50.000 (47.855)	Prec@5 83.000 (78.395)
Epoch: [51][5640/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 1.7913 (2.0152)	Prec@1 55.500 (47.856)	Prec@5 81.000 (78.395)
Epoch: [51][5650/9018]	Time 0.642 (0.626)	Data 0.012 (0.003)	Loss 1.9317 (2.0152)	Prec@1 53.500 (47.856)	Prec@5 78.000 (78.393)
Epoch: [51][5660/9018]	Time 0.614 (0.626)	Data 0.015 (0.003)	Loss 1.9334 (2.0151)	Prec@1 48.000 (47.855)	Prec@5 78.500 (78.393)
Epoch: [51][5670/9018]	Time 0.639 (0.626)	Data 0.001 (0.003)	Loss 2.0251 (2.0152)	Prec@1 48.500 (47.854)	Prec@5 80.500 (78.394)
Epoch: [51][5680/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 2.2195 (2.0152)	Prec@1 42.500 (47.855)	Prec@5 76.500 (78.393)
Epoch: [51][5690/9018]	Time 0.624 (0.626)	Data 0.015 (0.003)	Loss 2.3245 (2.0153)	Prec@1 40.500 (47.850)	Prec@5 74.500 (78.391)
Epoch: [51][5700/9018]	Time 0.754 (0.626)	Data 0.010 (0.003)	Loss 2.0683 (2.0154)	Prec@1 46.500 (47.850)	Prec@5 78.000 (78.390)
Epoch: [51][5710/9018]	Time 0.653 (0.626)	Data 0.025 (0.003)	Loss 1.9842 (2.0152)	Prec@1 48.500 (47.853)	Prec@5 79.500 (78.392)
Epoch: [51][5720/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 1.9102 (2.0152)	Prec@1 53.000 (47.853)	Prec@5 77.500 (78.391)
Epoch: [51][5730/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.2094 (2.0151)	Prec@1 43.000 (47.854)	Prec@5 74.000 (78.392)
Epoch: [51][5740/9018]	Time 0.642 (0.626)	Data 0.001 (0.003)	Loss 1.9507 (2.0150)	Prec@1 48.500 (47.857)	Prec@5 79.000 (78.392)
Epoch: [51][5750/9018]	Time 0.805 (0.626)	Data 0.001 (0.003)	Loss 1.8208 (2.0149)	Prec@1 51.500 (47.861)	Prec@5 83.500 (78.394)
Epoch: [51][5760/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.8691 (2.0150)	Prec@1 50.000 (47.858)	Prec@5 82.000 (78.392)
Epoch: [51][5770/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.9349 (2.0151)	Prec@1 52.000 (47.859)	Prec@5 80.500 (78.391)
Epoch: [51][5780/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.0997 (2.0150)	Prec@1 44.000 (47.859)	Prec@5 77.000 (78.392)
Epoch: [51][5790/9018]	Time 0.610 (0.626)	Data 0.016 (0.003)	Loss 1.8411 (2.0150)	Prec@1 49.500 (47.860)	Prec@5 83.000 (78.393)
Epoch: [51][5800/9018]	Time 0.597 (0.626)	Data 0.001 (0.003)	Loss 1.9857 (2.0150)	Prec@1 44.000 (47.856)	Prec@5 77.000 (78.392)
Epoch: [51][5810/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.9842 (2.0150)	Prec@1 47.000 (47.856)	Prec@5 82.500 (78.393)
Epoch: [51][5820/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 1.9281 (2.0150)	Prec@1 52.500 (47.860)	Prec@5 77.000 (78.393)
Epoch: [51][5830/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 1.8848 (2.0149)	Prec@1 51.000 (47.862)	Prec@5 78.500 (78.395)
Epoch: [51][5840/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 2.1216 (2.0150)	Prec@1 45.500 (47.861)	Prec@5 79.000 (78.394)
Epoch: [51][5850/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 1.8445 (2.0151)	Prec@1 48.500 (47.858)	Prec@5 83.000 (78.392)
Epoch: [51][5860/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 2.0610 (2.0151)	Prec@1 46.000 (47.855)	Prec@5 78.000 (78.391)
Epoch: [51][5870/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.1454 (2.0151)	Prec@1 45.000 (47.854)	Prec@5 75.500 (78.392)
Epoch: [51][5880/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 1.9775 (2.0151)	Prec@1 45.000 (47.856)	Prec@5 81.500 (78.392)
Epoch: [51][5890/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.0452 (2.0151)	Prec@1 47.500 (47.857)	Prec@5 77.000 (78.390)
Epoch: [51][5900/9018]	Time 0.651 (0.626)	Data 0.014 (0.003)	Loss 2.0733 (2.0152)	Prec@1 44.000 (47.854)	Prec@5 76.500 (78.387)
Epoch: [51][5910/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.1264 (2.0154)	Prec@1 44.500 (47.850)	Prec@5 79.000 (78.384)
Epoch: [51][5920/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.1298 (2.0155)	Prec@1 46.500 (47.847)	Prec@5 77.000 (78.384)
Epoch: [51][5930/9018]	Time 0.593 (0.626)	Data 0.017 (0.003)	Loss 1.8881 (2.0154)	Prec@1 50.500 (47.848)	Prec@5 78.500 (78.386)
Epoch: [51][5940/9018]	Time 0.636 (0.626)	Data 0.017 (0.003)	Loss 1.8333 (2.0154)	Prec@1 52.500 (47.848)	Prec@5 81.500 (78.387)
Epoch: [51][5950/9018]	Time 0.643 (0.626)	Data 0.001 (0.003)	Loss 2.0530 (2.0156)	Prec@1 44.500 (47.846)	Prec@5 78.000 (78.385)
Epoch: [51][5960/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 2.0235 (2.0156)	Prec@1 44.500 (47.843)	Prec@5 82.000 (78.384)
Epoch: [51][5970/9018]	Time 0.652 (0.626)	Data 0.001 (0.003)	Loss 2.1261 (2.0157)	Prec@1 45.500 (47.839)	Prec@5 79.000 (78.383)
Epoch: [51][5980/9018]	Time 0.591 (0.626)	Data 0.001 (0.003)	Loss 2.3979 (2.0158)	Prec@1 41.500 (47.837)	Prec@5 72.000 (78.385)
Epoch: [51][5990/9018]	Time 0.656 (0.626)	Data 0.001 (0.003)	Loss 2.1256 (2.0159)	Prec@1 44.500 (47.836)	Prec@5 77.000 (78.384)
Epoch: [51][6000/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.9804 (2.0161)	Prec@1 46.000 (47.834)	Prec@5 81.000 (78.381)
Epoch: [51][6010/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 2.1174 (2.0162)	Prec@1 48.500 (47.833)	Prec@5 79.500 (78.379)
Epoch: [51][6020/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.0603 (2.0162)	Prec@1 46.500 (47.830)	Prec@5 79.000 (78.378)
Epoch: [51][6030/9018]	Time 0.793 (0.626)	Data 0.001 (0.003)	Loss 2.0788 (2.0162)	Prec@1 48.000 (47.832)	Prec@5 75.000 (78.377)
Epoch: [51][6040/9018]	Time 0.601 (0.626)	Data 0.014 (0.003)	Loss 2.0806 (2.0164)	Prec@1 48.500 (47.831)	Prec@5 77.500 (78.374)
Epoch: [51][6050/9018]	Time 0.644 (0.626)	Data 0.001 (0.003)	Loss 1.7939 (2.0163)	Prec@1 56.000 (47.832)	Prec@5 80.500 (78.374)
Epoch: [51][6060/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 2.0349 (2.0164)	Prec@1 46.000 (47.831)	Prec@5 79.500 (78.373)
Epoch: [51][6070/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 2.0618 (2.0165)	Prec@1 43.000 (47.825)	Prec@5 78.000 (78.370)
Epoch: [51][6080/9018]	Time 0.809 (0.626)	Data 0.001 (0.003)	Loss 1.9551 (2.0165)	Prec@1 45.500 (47.823)	Prec@5 79.000 (78.370)
Epoch: [51][6090/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 2.2896 (2.0165)	Prec@1 43.000 (47.824)	Prec@5 75.000 (78.369)
Epoch: [51][6100/9018]	Time 0.643 (0.626)	Data 0.001 (0.003)	Loss 2.1442 (2.0165)	Prec@1 41.000 (47.823)	Prec@5 75.500 (78.369)
Epoch: [51][6110/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.0588 (2.0165)	Prec@1 48.000 (47.825)	Prec@5 77.000 (78.370)
Epoch: [51][6120/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 2.1635 (2.0165)	Prec@1 47.000 (47.827)	Prec@5 73.000 (78.369)
Epoch: [51][6130/9018]	Time 0.597 (0.626)	Data 0.007 (0.003)	Loss 2.0758 (2.0165)	Prec@1 46.500 (47.825)	Prec@5 79.500 (78.368)
Epoch: [51][6140/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 2.0044 (2.0164)	Prec@1 50.000 (47.828)	Prec@5 78.500 (78.370)
Epoch: [51][6150/9018]	Time 0.623 (0.626)	Data 0.015 (0.003)	Loss 2.2777 (2.0165)	Prec@1 43.000 (47.827)	Prec@5 69.500 (78.368)
Epoch: [51][6160/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 1.8479 (2.0164)	Prec@1 52.000 (47.828)	Prec@5 79.500 (78.369)
Epoch: [51][6170/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.0334 (2.0165)	Prec@1 50.500 (47.827)	Prec@5 79.500 (78.368)
Epoch: [51][6180/9018]	Time 0.618 (0.626)	Data 0.004 (0.003)	Loss 1.9975 (2.0164)	Prec@1 50.000 (47.828)	Prec@5 75.500 (78.369)
Epoch: [51][6190/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.0658 (2.0163)	Prec@1 45.000 (47.830)	Prec@5 77.000 (78.372)
Epoch: [51][6200/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.0523 (2.0164)	Prec@1 44.500 (47.828)	Prec@5 78.500 (78.372)
Epoch: [51][6210/9018]	Time 0.611 (0.626)	Data 0.002 (0.003)	Loss 1.9322 (2.0164)	Prec@1 43.500 (47.827)	Prec@5 80.500 (78.371)
Epoch: [51][6220/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.1180 (2.0163)	Prec@1 47.000 (47.827)	Prec@5 77.500 (78.373)
Epoch: [51][6230/9018]	Time 0.616 (0.626)	Data 0.017 (0.003)	Loss 1.9904 (2.0162)	Prec@1 50.500 (47.829)	Prec@5 78.500 (78.374)
Epoch: [51][6240/9018]	Time 0.608 (0.626)	Data 0.004 (0.003)	Loss 2.2613 (2.0164)	Prec@1 39.500 (47.823)	Prec@5 73.000 (78.371)
Epoch: [51][6250/9018]	Time 0.606 (0.626)	Data 0.004 (0.003)	Loss 1.9365 (2.0164)	Prec@1 52.000 (47.824)	Prec@5 79.500 (78.372)
Epoch: [51][6260/9018]	Time 0.633 (0.626)	Data 0.001 (0.003)	Loss 2.0311 (2.0164)	Prec@1 49.500 (47.826)	Prec@5 78.500 (78.371)
Epoch: [51][6270/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 1.9604 (2.0163)	Prec@1 54.500 (47.827)	Prec@5 79.000 (78.371)
Epoch: [51][6280/9018]	Time 0.641 (0.626)	Data 0.001 (0.003)	Loss 1.9073 (2.0165)	Prec@1 53.000 (47.824)	Prec@5 80.000 (78.369)
Epoch: [51][6290/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.0584 (2.0165)	Prec@1 46.000 (47.823)	Prec@5 77.000 (78.367)
Epoch: [51][6300/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.2505 (2.0167)	Prec@1 40.500 (47.821)	Prec@5 70.000 (78.362)
Epoch: [51][6310/9018]	Time 0.618 (0.626)	Data 0.002 (0.003)	Loss 1.8879 (2.0166)	Prec@1 46.500 (47.822)	Prec@5 82.500 (78.362)
Epoch: [51][6320/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.2079 (2.0167)	Prec@1 43.500 (47.824)	Prec@5 74.500 (78.361)
Epoch: [51][6330/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.2610 (2.0168)	Prec@1 41.000 (47.820)	Prec@5 74.000 (78.359)
Epoch: [51][6340/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 2.2423 (2.0170)	Prec@1 42.500 (47.817)	Prec@5 72.500 (78.354)
Epoch: [51][6350/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.0597 (2.0170)	Prec@1 44.500 (47.818)	Prec@5 81.000 (78.354)
Epoch: [51][6360/9018]	Time 0.813 (0.626)	Data 0.002 (0.003)	Loss 1.8940 (2.0169)	Prec@1 51.000 (47.818)	Prec@5 76.000 (78.355)
Epoch: [51][6370/9018]	Time 0.625 (0.626)	Data 0.017 (0.003)	Loss 2.0551 (2.0169)	Prec@1 45.500 (47.816)	Prec@5 76.500 (78.353)
Epoch: [51][6380/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 1.8862 (2.0169)	Prec@1 54.000 (47.818)	Prec@5 82.000 (78.354)
Epoch: [51][6390/9018]	Time 0.632 (0.626)	Data 0.016 (0.003)	Loss 2.1170 (2.0170)	Prec@1 47.500 (47.816)	Prec@5 77.500 (78.351)
Epoch: [51][6400/9018]	Time 0.626 (0.626)	Data 0.001 (0.003)	Loss 2.1401 (2.0171)	Prec@1 46.000 (47.813)	Prec@5 79.500 (78.348)
Epoch: [51][6410/9018]	Time 0.798 (0.626)	Data 0.001 (0.003)	Loss 2.4315 (2.0173)	Prec@1 37.000 (47.811)	Prec@5 71.000 (78.345)
Epoch: [51][6420/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 1.8687 (2.0172)	Prec@1 52.000 (47.813)	Prec@5 81.000 (78.346)
Epoch: [51][6430/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.2511 (2.0173)	Prec@1 42.500 (47.811)	Prec@5 77.500 (78.344)
Epoch: [51][6440/9018]	Time 0.601 (0.626)	Data 0.016 (0.003)	Loss 1.7778 (2.0172)	Prec@1 55.000 (47.814)	Prec@5 81.000 (78.348)
Epoch: [51][6450/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 1.9464 (2.0172)	Prec@1 48.500 (47.815)	Prec@5 80.000 (78.346)
Epoch: [51][6460/9018]	Time 0.594 (0.626)	Data 0.001 (0.003)	Loss 2.0683 (2.0173)	Prec@1 45.500 (47.814)	Prec@5 77.500 (78.345)
Epoch: [51][6470/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 2.1766 (2.0173)	Prec@1 47.000 (47.812)	Prec@5 74.500 (78.345)
Epoch: [51][6480/9018]	Time 0.644 (0.626)	Data 0.001 (0.003)	Loss 1.9201 (2.0173)	Prec@1 55.500 (47.812)	Prec@5 79.500 (78.346)
Epoch: [51][6490/9018]	Time 0.617 (0.626)	Data 0.015 (0.003)	Loss 2.1570 (2.0173)	Prec@1 44.500 (47.812)	Prec@5 77.000 (78.346)
Epoch: [51][6500/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 2.0580 (2.0172)	Prec@1 49.500 (47.816)	Prec@5 75.500 (78.347)
Epoch: [51][6510/9018]	Time 0.630 (0.626)	Data 0.016 (0.003)	Loss 2.1051 (2.0172)	Prec@1 44.500 (47.817)	Prec@5 75.500 (78.347)
Epoch: [51][6520/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 2.2289 (2.0172)	Prec@1 43.000 (47.816)	Prec@5 78.500 (78.348)
Epoch: [51][6530/9018]	Time 0.637 (0.626)	Data 0.001 (0.003)	Loss 1.9770 (2.0172)	Prec@1 43.000 (47.815)	Prec@5 78.000 (78.347)
Epoch: [51][6540/9018]	Time 0.627 (0.626)	Data 0.016 (0.003)	Loss 2.0375 (2.0173)	Prec@1 47.500 (47.814)	Prec@5 79.000 (78.346)
Epoch: [51][6550/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.1204 (2.0174)	Prec@1 43.000 (47.813)	Prec@5 74.500 (78.344)
Epoch: [51][6560/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.0356 (2.0173)	Prec@1 50.500 (47.814)	Prec@5 78.000 (78.344)
Epoch: [51][6570/9018]	Time 0.587 (0.626)	Data 0.001 (0.003)	Loss 1.7247 (2.0173)	Prec@1 53.500 (47.813)	Prec@5 82.000 (78.346)
Epoch: [51][6580/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.9204 (2.0173)	Prec@1 50.000 (47.813)	Prec@5 79.500 (78.344)
Epoch: [51][6590/9018]	Time 0.641 (0.626)	Data 0.001 (0.003)	Loss 1.8740 (2.0173)	Prec@1 48.000 (47.812)	Prec@5 81.500 (78.346)
Epoch: [51][6600/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.1879 (2.0174)	Prec@1 46.000 (47.810)	Prec@5 75.500 (78.344)
Epoch: [51][6610/9018]	Time 0.640 (0.626)	Data 0.001 (0.003)	Loss 2.2084 (2.0174)	Prec@1 44.500 (47.809)	Prec@5 74.000 (78.343)
Epoch: [51][6620/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.9596 (2.0174)	Prec@1 47.500 (47.809)	Prec@5 78.500 (78.343)
Epoch: [51][6630/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 2.3261 (2.0174)	Prec@1 39.000 (47.809)	Prec@5 73.500 (78.342)
Epoch: [51][6640/9018]	Time 0.604 (0.626)	Data 0.003 (0.003)	Loss 2.1376 (2.0174)	Prec@1 41.000 (47.809)	Prec@5 73.500 (78.342)
Epoch: [51][6650/9018]	Time 0.652 (0.626)	Data 0.001 (0.003)	Loss 1.9224 (2.0174)	Prec@1 50.500 (47.809)	Prec@5 77.500 (78.342)
Epoch: [51][6660/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.9682 (2.0173)	Prec@1 50.500 (47.810)	Prec@5 79.000 (78.342)
Epoch: [51][6670/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 2.1831 (2.0173)	Prec@1 43.500 (47.810)	Prec@5 73.000 (78.343)
Epoch: [51][6680/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.0200 (2.0173)	Prec@1 46.500 (47.808)	Prec@5 76.500 (78.344)
Epoch: [51][6690/9018]	Time 0.765 (0.626)	Data 0.001 (0.003)	Loss 2.0613 (2.0174)	Prec@1 45.500 (47.807)	Prec@5 80.000 (78.345)
Epoch: [51][6700/9018]	Time 0.641 (0.626)	Data 0.008 (0.003)	Loss 2.1513 (2.0174)	Prec@1 43.000 (47.807)	Prec@5 80.500 (78.344)
Epoch: [51][6710/9018]	Time 0.632 (0.626)	Data 0.007 (0.003)	Loss 2.1981 (2.0175)	Prec@1 46.000 (47.807)	Prec@5 78.000 (78.344)
Epoch: [51][6720/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 2.2764 (2.0175)	Prec@1 41.500 (47.803)	Prec@5 75.500 (78.345)
Epoch: [51][6730/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.7235 (2.0174)	Prec@1 52.500 (47.806)	Prec@5 83.000 (78.347)
Epoch: [51][6740/9018]	Time 0.735 (0.626)	Data 0.001 (0.003)	Loss 2.1691 (2.0176)	Prec@1 45.000 (47.804)	Prec@5 74.000 (78.344)
Epoch: [51][6750/9018]	Time 0.631 (0.626)	Data 0.001 (0.003)	Loss 2.1300 (2.0178)	Prec@1 49.500 (47.801)	Prec@5 75.500 (78.342)
Epoch: [51][6760/9018]	Time 0.601 (0.626)	Data 0.005 (0.003)	Loss 2.0464 (2.0177)	Prec@1 45.500 (47.802)	Prec@5 77.000 (78.344)
Epoch: [51][6770/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.8535 (2.0177)	Prec@1 47.500 (47.801)	Prec@5 81.000 (78.343)
Epoch: [51][6780/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 2.0045 (2.0177)	Prec@1 50.000 (47.802)	Prec@5 79.500 (78.343)
Epoch: [51][6790/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 1.9454 (2.0178)	Prec@1 53.000 (47.802)	Prec@5 76.500 (78.342)
Epoch: [51][6800/9018]	Time 0.633 (0.626)	Data 0.001 (0.003)	Loss 1.9118 (2.0178)	Prec@1 53.000 (47.803)	Prec@5 79.000 (78.341)
Epoch: [51][6810/9018]	Time 0.633 (0.626)	Data 0.001 (0.003)	Loss 1.9873 (2.0178)	Prec@1 49.000 (47.803)	Prec@5 80.000 (78.343)
Epoch: [51][6820/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 2.3048 (2.0179)	Prec@1 45.000 (47.800)	Prec@5 69.500 (78.339)
Epoch: [51][6830/9018]	Time 0.629 (0.626)	Data 0.014 (0.003)	Loss 1.8567 (2.0179)	Prec@1 54.500 (47.800)	Prec@5 81.000 (78.340)
Epoch: [51][6840/9018]	Time 0.644 (0.626)	Data 0.001 (0.003)	Loss 2.1272 (2.0179)	Prec@1 42.500 (47.800)	Prec@5 79.000 (78.338)
Epoch: [51][6850/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.2025 (2.0179)	Prec@1 46.000 (47.798)	Prec@5 72.500 (78.339)
Epoch: [51][6860/9018]	Time 0.613 (0.626)	Data 0.010 (0.003)	Loss 1.9433 (2.0179)	Prec@1 45.500 (47.798)	Prec@5 80.500 (78.340)
Epoch: [51][6870/9018]	Time 0.636 (0.626)	Data 0.001 (0.003)	Loss 1.9162 (2.0177)	Prec@1 48.500 (47.802)	Prec@5 81.000 (78.344)
Epoch: [51][6880/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 1.8328 (2.0176)	Prec@1 47.500 (47.802)	Prec@5 82.500 (78.347)
Epoch: [51][6890/9018]	Time 0.614 (0.626)	Data 0.013 (0.003)	Loss 1.8994 (2.0177)	Prec@1 51.000 (47.802)	Prec@5 78.000 (78.346)
Epoch: [51][6900/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 1.9671 (2.0177)	Prec@1 45.500 (47.802)	Prec@5 80.000 (78.345)
Epoch: [51][6910/9018]	Time 0.668 (0.626)	Data 0.001 (0.003)	Loss 2.2166 (2.0177)	Prec@1 43.500 (47.800)	Prec@5 76.500 (78.346)
Epoch: [51][6920/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.9511 (2.0177)	Prec@1 48.500 (47.801)	Prec@5 78.500 (78.346)
Epoch: [51][6930/9018]	Time 0.639 (0.626)	Data 0.001 (0.003)	Loss 1.9334 (2.0177)	Prec@1 47.000 (47.802)	Prec@5 80.500 (78.346)
Epoch: [51][6940/9018]	Time 0.650 (0.626)	Data 0.001 (0.003)	Loss 1.9519 (2.0176)	Prec@1 47.500 (47.802)	Prec@5 82.000 (78.347)
Epoch: [51][6950/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.2168 (2.0176)	Prec@1 46.500 (47.805)	Prec@5 76.500 (78.347)
Epoch: [51][6960/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 1.9328 (2.0177)	Prec@1 48.000 (47.804)	Prec@5 78.000 (78.345)
Epoch: [51][6970/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 1.7721 (2.0178)	Prec@1 51.500 (47.803)	Prec@5 82.000 (78.343)
Epoch: [51][6980/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.0391 (2.0178)	Prec@1 51.000 (47.802)	Prec@5 77.500 (78.343)
Epoch: [51][6990/9018]	Time 0.633 (0.626)	Data 0.011 (0.003)	Loss 1.8179 (2.0177)	Prec@1 54.000 (47.805)	Prec@5 79.500 (78.343)
Epoch: [51][7000/9018]	Time 0.643 (0.626)	Data 0.001 (0.003)	Loss 1.9133 (2.0176)	Prec@1 50.000 (47.808)	Prec@5 81.000 (78.346)
Epoch: [51][7010/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.0767 (2.0177)	Prec@1 47.000 (47.808)	Prec@5 77.000 (78.345)
Epoch: [51][7020/9018]	Time 0.748 (0.626)	Data 0.001 (0.003)	Loss 2.2722 (2.0177)	Prec@1 44.000 (47.804)	Prec@5 76.500 (78.345)
Epoch: [51][7030/9018]	Time 0.634 (0.626)	Data 0.001 (0.003)	Loss 1.9344 (2.0178)	Prec@1 44.500 (47.802)	Prec@5 80.000 (78.344)
Epoch: [51][7040/9018]	Time 0.642 (0.626)	Data 0.001 (0.003)	Loss 2.0859 (2.0178)	Prec@1 49.500 (47.803)	Prec@5 77.500 (78.345)
Epoch: [51][7050/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 1.9458 (2.0178)	Prec@1 47.500 (47.802)	Prec@5 76.500 (78.343)
Epoch: [51][7060/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.1657 (2.0178)	Prec@1 44.500 (47.803)	Prec@5 79.500 (78.344)
Epoch: [51][7070/9018]	Time 0.758 (0.626)	Data 0.001 (0.003)	Loss 2.2032 (2.0180)	Prec@1 44.000 (47.800)	Prec@5 75.000 (78.340)
Epoch: [51][7080/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.0050 (2.0180)	Prec@1 48.000 (47.799)	Prec@5 79.500 (78.340)
Epoch: [51][7090/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 2.0036 (2.0181)	Prec@1 48.000 (47.797)	Prec@5 79.500 (78.339)
Epoch: [51][7100/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.0070 (2.0181)	Prec@1 50.500 (47.796)	Prec@5 77.000 (78.339)
Epoch: [51][7110/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.1447 (2.0182)	Prec@1 42.500 (47.795)	Prec@5 79.500 (78.338)
Epoch: [51][7120/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.8917 (2.0181)	Prec@1 50.000 (47.795)	Prec@5 80.000 (78.338)
Epoch: [51][7130/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 1.8824 (2.0180)	Prec@1 52.500 (47.796)	Prec@5 81.500 (78.340)
Epoch: [51][7140/9018]	Time 0.615 (0.626)	Data 0.017 (0.003)	Loss 1.9738 (2.0180)	Prec@1 48.500 (47.796)	Prec@5 82.500 (78.342)
Epoch: [51][7150/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 2.4883 (2.0181)	Prec@1 38.500 (47.795)	Prec@5 68.000 (78.340)
Epoch: [51][7160/9018]	Time 0.597 (0.626)	Data 0.001 (0.003)	Loss 2.0997 (2.0181)	Prec@1 47.500 (47.796)	Prec@5 73.500 (78.339)
Epoch: [51][7170/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.0582 (2.0181)	Prec@1 42.500 (47.795)	Prec@5 78.000 (78.337)
Epoch: [51][7180/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 2.0871 (2.0182)	Prec@1 50.500 (47.794)	Prec@5 77.500 (78.336)
Epoch: [51][7190/9018]	Time 0.634 (0.626)	Data 0.001 (0.003)	Loss 1.9876 (2.0182)	Prec@1 50.500 (47.794)	Prec@5 81.000 (78.336)
Epoch: [51][7200/9018]	Time 0.623 (0.626)	Data 0.013 (0.003)	Loss 2.0137 (2.0182)	Prec@1 50.000 (47.794)	Prec@5 77.000 (78.337)
Epoch: [51][7210/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 1.9449 (2.0182)	Prec@1 54.500 (47.797)	Prec@5 80.500 (78.338)
Epoch: [51][7220/9018]	Time 0.666 (0.626)	Data 0.001 (0.003)	Loss 1.9258 (2.0181)	Prec@1 46.000 (47.798)	Prec@5 78.500 (78.340)
Epoch: [51][7230/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 1.9051 (2.0182)	Prec@1 52.000 (47.795)	Prec@5 80.500 (78.337)
Epoch: [51][7240/9018]	Time 0.616 (0.626)	Data 0.007 (0.003)	Loss 2.1130 (2.0182)	Prec@1 47.000 (47.795)	Prec@5 76.000 (78.337)
Epoch: [51][7250/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.1055 (2.0182)	Prec@1 45.500 (47.796)	Prec@5 76.000 (78.336)
Epoch: [51][7260/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 2.3122 (2.0182)	Prec@1 46.500 (47.794)	Prec@5 69.000 (78.334)
Epoch: [51][7270/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.0781 (2.0183)	Prec@1 46.000 (47.793)	Prec@5 73.000 (78.333)
Epoch: [51][7280/9018]	Time 0.592 (0.626)	Data 0.001 (0.003)	Loss 1.8767 (2.0182)	Prec@1 51.500 (47.795)	Prec@5 81.000 (78.334)
Epoch: [51][7290/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.8110 (2.0183)	Prec@1 49.000 (47.794)	Prec@5 82.500 (78.332)
Epoch: [51][7300/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 1.9125 (2.0183)	Prec@1 55.000 (47.795)	Prec@5 78.500 (78.332)
Epoch: [51][7310/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 2.1477 (2.0182)	Prec@1 45.500 (47.798)	Prec@5 74.000 (78.334)
Epoch: [51][7320/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 2.0812 (2.0182)	Prec@1 45.500 (47.796)	Prec@5 79.500 (78.333)
Epoch: [51][7330/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.1803 (2.0183)	Prec@1 43.000 (47.795)	Prec@5 73.500 (78.331)
Epoch: [51][7340/9018]	Time 0.654 (0.626)	Data 0.001 (0.003)	Loss 2.1055 (2.0183)	Prec@1 44.500 (47.795)	Prec@5 78.500 (78.331)
Epoch: [51][7350/9018]	Time 0.791 (0.626)	Data 0.001 (0.003)	Loss 1.9880 (2.0183)	Prec@1 52.000 (47.797)	Prec@5 78.500 (78.332)
Epoch: [51][7360/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 1.9189 (2.0183)	Prec@1 54.000 (47.794)	Prec@5 82.500 (78.331)
Epoch: [51][7370/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 1.9986 (2.0184)	Prec@1 45.500 (47.793)	Prec@5 76.000 (78.330)
Epoch: [51][7380/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 2.3529 (2.0185)	Prec@1 46.000 (47.792)	Prec@5 72.500 (78.328)
Epoch: [51][7390/9018]	Time 0.614 (0.626)	Data 0.016 (0.003)	Loss 1.8050 (2.0185)	Prec@1 51.500 (47.793)	Prec@5 82.000 (78.329)
Epoch: [51][7400/9018]	Time 0.769 (0.626)	Data 0.001 (0.003)	Loss 2.1696 (2.0186)	Prec@1 42.500 (47.793)	Prec@5 78.000 (78.328)
Epoch: [51][7410/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 2.0448 (2.0186)	Prec@1 46.000 (47.793)	Prec@5 76.000 (78.325)
Epoch: [51][7420/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 1.9689 (2.0186)	Prec@1 46.000 (47.791)	Prec@5 80.000 (78.326)
Epoch: [51][7430/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.9575 (2.0186)	Prec@1 50.500 (47.790)	Prec@5 78.000 (78.326)
Epoch: [51][7440/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 2.0704 (2.0186)	Prec@1 47.500 (47.791)	Prec@5 81.000 (78.327)
Epoch: [51][7450/9018]	Time 0.623 (0.626)	Data 0.016 (0.003)	Loss 1.8610 (2.0186)	Prec@1 53.000 (47.791)	Prec@5 81.500 (78.328)
Epoch: [51][7460/9018]	Time 0.632 (0.626)	Data 0.001 (0.003)	Loss 1.9089 (2.0186)	Prec@1 52.000 (47.792)	Prec@5 81.500 (78.329)
Epoch: [51][7470/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 1.9702 (2.0186)	Prec@1 49.000 (47.792)	Prec@5 80.500 (78.328)
Epoch: [51][7480/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.0788 (2.0186)	Prec@1 45.000 (47.791)	Prec@5 79.000 (78.326)
Epoch: [51][7490/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.8501 (2.0186)	Prec@1 50.000 (47.791)	Prec@5 80.000 (78.328)
Epoch: [51][7500/9018]	Time 0.637 (0.626)	Data 0.001 (0.003)	Loss 2.1767 (2.0186)	Prec@1 45.500 (47.792)	Prec@5 72.500 (78.328)
Epoch: [51][7510/9018]	Time 0.633 (0.626)	Data 0.001 (0.003)	Loss 1.8099 (2.0186)	Prec@1 52.000 (47.791)	Prec@5 81.000 (78.327)
Epoch: [51][7520/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 1.9092 (2.0186)	Prec@1 51.000 (47.792)	Prec@5 82.000 (78.327)
Epoch: [51][7530/9018]	Time 0.609 (0.626)	Data 0.003 (0.003)	Loss 2.2768 (2.0187)	Prec@1 44.500 (47.789)	Prec@5 78.500 (78.327)
Epoch: [51][7540/9018]	Time 0.616 (0.626)	Data 0.016 (0.003)	Loss 1.9577 (2.0187)	Prec@1 50.500 (47.789)	Prec@5 78.500 (78.327)
Epoch: [51][7550/9018]	Time 0.643 (0.626)	Data 0.014 (0.003)	Loss 1.6759 (2.0187)	Prec@1 52.500 (47.790)	Prec@5 85.000 (78.326)
Epoch: [51][7560/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 1.9923 (2.0187)	Prec@1 50.000 (47.791)	Prec@5 79.000 (78.326)
Epoch: [51][7570/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 1.8891 (2.0186)	Prec@1 44.500 (47.790)	Prec@5 80.500 (78.329)
Epoch: [51][7580/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 1.9201 (2.0187)	Prec@1 50.500 (47.790)	Prec@5 80.000 (78.328)
Epoch: [51][7590/9018]	Time 0.637 (0.626)	Data 0.001 (0.003)	Loss 2.0434 (2.0187)	Prec@1 50.500 (47.791)	Prec@5 77.000 (78.327)
Epoch: [51][7600/9018]	Time 0.616 (0.626)	Data 0.016 (0.003)	Loss 2.3428 (2.0187)	Prec@1 41.000 (47.791)	Prec@5 73.500 (78.325)
Epoch: [51][7610/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 1.8444 (2.0187)	Prec@1 47.500 (47.792)	Prec@5 84.000 (78.325)
Epoch: [51][7620/9018]	Time 0.640 (0.626)	Data 0.001 (0.003)	Loss 2.0323 (2.0188)	Prec@1 47.000 (47.791)	Prec@5 78.500 (78.324)
Epoch: [51][7630/9018]	Time 0.613 (0.626)	Data 0.014 (0.003)	Loss 2.0063 (2.0188)	Prec@1 48.000 (47.790)	Prec@5 80.000 (78.323)
Epoch: [51][7640/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.0839 (2.0188)	Prec@1 50.000 (47.790)	Prec@5 76.500 (78.324)
Epoch: [51][7650/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 2.1460 (2.0189)	Prec@1 40.500 (47.788)	Prec@5 72.500 (78.323)
Epoch: [51][7660/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 2.1233 (2.0188)	Prec@1 44.500 (47.789)	Prec@5 78.000 (78.324)
Epoch: [51][7670/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.1099 (2.0188)	Prec@1 45.500 (47.788)	Prec@5 77.500 (78.325)
Epoch: [51][7680/9018]	Time 0.762 (0.626)	Data 0.001 (0.003)	Loss 2.1654 (2.0188)	Prec@1 44.500 (47.787)	Prec@5 72.500 (78.325)
Epoch: [51][7690/9018]	Time 0.618 (0.626)	Data 0.017 (0.003)	Loss 1.9517 (2.0188)	Prec@1 50.000 (47.787)	Prec@5 79.500 (78.325)
Epoch: [51][7700/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 1.9944 (2.0188)	Prec@1 48.000 (47.787)	Prec@5 78.000 (78.325)
Epoch: [51][7710/9018]	Time 0.655 (0.626)	Data 0.001 (0.003)	Loss 2.0682 (2.0189)	Prec@1 49.500 (47.785)	Prec@5 77.000 (78.326)
Epoch: [51][7720/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.0402 (2.0189)	Prec@1 48.000 (47.784)	Prec@5 76.500 (78.326)
Epoch: [51][7730/9018]	Time 0.741 (0.626)	Data 0.004 (0.003)	Loss 1.9924 (2.0190)	Prec@1 49.500 (47.783)	Prec@5 79.000 (78.324)
Epoch: [51][7740/9018]	Time 0.633 (0.626)	Data 0.001 (0.003)	Loss 2.0245 (2.0189)	Prec@1 48.000 (47.785)	Prec@5 78.000 (78.326)
Epoch: [51][7750/9018]	Time 0.639 (0.626)	Data 0.001 (0.003)	Loss 2.0192 (2.0189)	Prec@1 46.500 (47.785)	Prec@5 81.000 (78.326)
Epoch: [51][7760/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.0910 (2.0189)	Prec@1 46.000 (47.785)	Prec@5 77.500 (78.326)
Epoch: [51][7770/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.0125 (2.0190)	Prec@1 45.000 (47.785)	Prec@5 77.500 (78.325)
Epoch: [51][7780/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.8641 (2.0190)	Prec@1 54.000 (47.785)	Prec@5 79.000 (78.324)
Epoch: [51][7790/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0347 (2.0190)	Prec@1 45.000 (47.784)	Prec@5 77.000 (78.325)
Epoch: [51][7800/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 1.9446 (2.0190)	Prec@1 49.500 (47.787)	Prec@5 79.000 (78.325)
Epoch: [51][7810/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 2.2392 (2.0190)	Prec@1 40.500 (47.785)	Prec@5 76.000 (78.325)
Epoch: [51][7820/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 1.9829 (2.0190)	Prec@1 53.000 (47.786)	Prec@5 81.500 (78.325)
Epoch: [51][7830/9018]	Time 0.634 (0.626)	Data 0.008 (0.003)	Loss 1.9696 (2.0190)	Prec@1 47.500 (47.787)	Prec@5 75.500 (78.324)
Epoch: [51][7840/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.6972 (2.0189)	Prec@1 51.500 (47.787)	Prec@5 85.000 (78.324)
Epoch: [51][7850/9018]	Time 0.629 (0.626)	Data 0.017 (0.003)	Loss 1.9741 (2.0189)	Prec@1 51.000 (47.789)	Prec@5 78.500 (78.326)
Epoch: [51][7860/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.8548 (2.0188)	Prec@1 53.500 (47.791)	Prec@5 79.500 (78.327)
Epoch: [51][7870/9018]	Time 0.643 (0.626)	Data 0.001 (0.003)	Loss 2.2162 (2.0189)	Prec@1 45.000 (47.791)	Prec@5 75.000 (78.325)
Epoch: [51][7880/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 1.9000 (2.0189)	Prec@1 49.000 (47.790)	Prec@5 80.000 (78.325)
Epoch: [51][7890/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 1.9458 (2.0189)	Prec@1 47.500 (47.789)	Prec@5 81.000 (78.325)
Epoch: [51][7900/9018]	Time 0.625 (0.626)	Data 0.010 (0.003)	Loss 2.1036 (2.0190)	Prec@1 43.500 (47.787)	Prec@5 77.500 (78.325)
Epoch: [51][7910/9018]	Time 0.639 (0.626)	Data 0.001 (0.003)	Loss 2.0836 (2.0191)	Prec@1 43.000 (47.784)	Prec@5 75.000 (78.323)
Epoch: [51][7920/9018]	Time 0.601 (0.626)	Data 0.017 (0.003)	Loss 1.8094 (2.0190)	Prec@1 48.500 (47.782)	Prec@5 81.500 (78.325)
Epoch: [51][7930/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 2.0802 (2.0190)	Prec@1 48.000 (47.783)	Prec@5 74.500 (78.323)
Epoch: [51][7940/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 1.8415 (2.0190)	Prec@1 52.500 (47.783)	Prec@5 80.000 (78.323)
Epoch: [51][7950/9018]	Time 0.644 (0.626)	Data 0.001 (0.003)	Loss 1.9322 (2.0191)	Prec@1 51.000 (47.781)	Prec@5 81.000 (78.321)
Epoch: [51][7960/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 1.8993 (2.0191)	Prec@1 51.000 (47.781)	Prec@5 81.000 (78.323)
Epoch: [51][7970/9018]	Time 0.643 (0.626)	Data 0.014 (0.003)	Loss 1.9925 (2.0191)	Prec@1 49.500 (47.783)	Prec@5 79.000 (78.324)
Epoch: [51][7980/9018]	Time 0.608 (0.626)	Data 0.011 (0.003)	Loss 1.9344 (2.0191)	Prec@1 47.500 (47.782)	Prec@5 81.500 (78.325)
Epoch: [51][7990/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.2571 (2.0191)	Prec@1 41.500 (47.783)	Prec@5 71.000 (78.324)
Epoch: [51][8000/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.9424 (2.0191)	Prec@1 46.000 (47.784)	Prec@5 83.000 (78.324)
Epoch: [51][8010/9018]	Time 0.708 (0.626)	Data 0.001 (0.003)	Loss 1.8653 (2.0191)	Prec@1 51.500 (47.782)	Prec@5 77.500 (78.323)
Epoch: [51][8020/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 1.9343 (2.0191)	Prec@1 52.000 (47.782)	Prec@5 78.000 (78.322)
Epoch: [51][8030/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.1980 (2.0192)	Prec@1 47.500 (47.784)	Prec@5 77.000 (78.322)
Epoch: [51][8040/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.0617 (2.0193)	Prec@1 46.000 (47.781)	Prec@5 74.500 (78.321)
Epoch: [51][8050/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.9626 (2.0193)	Prec@1 46.000 (47.781)	Prec@5 75.500 (78.319)
Epoch: [51][8060/9018]	Time 0.764 (0.626)	Data 0.001 (0.003)	Loss 1.8788 (2.0194)	Prec@1 50.500 (47.780)	Prec@5 80.000 (78.318)
Epoch: [51][8070/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 2.0685 (2.0194)	Prec@1 45.500 (47.779)	Prec@5 74.500 (78.317)
Epoch: [51][8080/9018]	Time 0.641 (0.626)	Data 0.001 (0.003)	Loss 2.0850 (2.0194)	Prec@1 46.500 (47.779)	Prec@5 78.000 (78.318)
Epoch: [51][8090/9018]	Time 0.600 (0.626)	Data 0.014 (0.003)	Loss 2.0273 (2.0193)	Prec@1 46.000 (47.781)	Prec@5 82.000 (78.320)
Epoch: [51][8100/9018]	Time 0.623 (0.626)	Data 0.002 (0.003)	Loss 2.1062 (2.0193)	Prec@1 47.500 (47.781)	Prec@5 79.000 (78.321)
Epoch: [51][8110/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.2082 (2.0193)	Prec@1 40.500 (47.780)	Prec@5 73.500 (78.321)
Epoch: [51][8120/9018]	Time 0.627 (0.626)	Data 0.015 (0.003)	Loss 1.8548 (2.0194)	Prec@1 47.500 (47.780)	Prec@5 84.500 (78.319)
Epoch: [51][8130/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 2.0884 (2.0193)	Prec@1 45.500 (47.780)	Prec@5 77.000 (78.322)
Epoch: [51][8140/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.1323 (2.0193)	Prec@1 47.500 (47.779)	Prec@5 74.500 (78.322)
Epoch: [51][8150/9018]	Time 0.623 (0.626)	Data 0.015 (0.003)	Loss 2.1475 (2.0193)	Prec@1 49.000 (47.778)	Prec@5 74.500 (78.321)
Epoch: [51][8160/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 1.8820 (2.0193)	Prec@1 50.000 (47.778)	Prec@5 81.000 (78.321)
Epoch: [51][8170/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.9924 (2.0194)	Prec@1 46.000 (47.778)	Prec@5 81.000 (78.322)
Epoch: [51][8180/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 2.0355 (2.0194)	Prec@1 47.000 (47.779)	Prec@5 76.000 (78.323)
Epoch: [51][8190/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.8189 (2.0193)	Prec@1 56.000 (47.778)	Prec@5 84.000 (78.324)
Epoch: [51][8200/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.0633 (2.0194)	Prec@1 42.500 (47.777)	Prec@5 82.000 (78.326)
Epoch: [51][8210/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 1.6952 (2.0193)	Prec@1 61.500 (47.779)	Prec@5 83.500 (78.325)
Epoch: [51][8220/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.1108 (2.0193)	Prec@1 43.500 (47.778)	Prec@5 76.500 (78.326)
Epoch: [51][8230/9018]	Time 0.605 (0.626)	Data 0.003 (0.003)	Loss 1.9814 (2.0193)	Prec@1 54.000 (47.778)	Prec@5 77.500 (78.326)
Epoch: [51][8240/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.2750 (2.0195)	Prec@1 45.500 (47.775)	Prec@5 73.500 (78.322)
Epoch: [51][8250/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.8501 (2.0195)	Prec@1 55.000 (47.779)	Prec@5 80.500 (78.322)
Epoch: [51][8260/9018]	Time 0.591 (0.626)	Data 0.001 (0.003)	Loss 1.9689 (2.0195)	Prec@1 47.500 (47.779)	Prec@5 80.500 (78.322)
Epoch: [51][8270/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.8924 (2.0195)	Prec@1 53.500 (47.782)	Prec@5 82.000 (78.323)
Epoch: [51][8280/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 2.1468 (2.0195)	Prec@1 47.000 (47.782)	Prec@5 78.500 (78.322)
Epoch: [51][8290/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 2.3442 (2.0195)	Prec@1 42.500 (47.782)	Prec@5 69.000 (78.322)
Epoch: [51][8300/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 2.1160 (2.0196)	Prec@1 43.500 (47.780)	Prec@5 75.500 (78.321)
Epoch: [51][8310/9018]	Time 0.646 (0.626)	Data 0.001 (0.003)	Loss 1.7908 (2.0196)	Prec@1 51.500 (47.780)	Prec@5 83.500 (78.321)
Epoch: [51][8320/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.1636 (2.0196)	Prec@1 45.500 (47.780)	Prec@5 75.000 (78.321)
Epoch: [51][8330/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.1786 (2.0196)	Prec@1 46.500 (47.781)	Prec@5 75.500 (78.322)
Epoch: [51][8340/9018]	Time 0.751 (0.626)	Data 0.001 (0.003)	Loss 2.0913 (2.0196)	Prec@1 47.000 (47.781)	Prec@5 74.500 (78.323)
Epoch: [51][8350/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.7602 (2.0195)	Prec@1 55.000 (47.782)	Prec@5 84.500 (78.323)
Epoch: [51][8360/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 1.9077 (2.0195)	Prec@1 49.000 (47.783)	Prec@5 83.000 (78.325)
Epoch: [51][8370/9018]	Time 0.594 (0.626)	Data 0.001 (0.003)	Loss 2.2741 (2.0195)	Prec@1 43.500 (47.783)	Prec@5 75.000 (78.326)
Epoch: [51][8380/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.9153 (2.0195)	Prec@1 51.500 (47.781)	Prec@5 77.500 (78.325)
Epoch: [51][8390/9018]	Time 0.754 (0.626)	Data 0.001 (0.003)	Loss 2.0101 (2.0195)	Prec@1 50.500 (47.781)	Prec@5 77.000 (78.325)
Epoch: [51][8400/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 2.0391 (2.0195)	Prec@1 45.500 (47.780)	Prec@5 78.000 (78.323)
Epoch: [51][8410/9018]	Time 0.626 (0.626)	Data 0.003 (0.003)	Loss 1.7059 (2.0195)	Prec@1 53.500 (47.782)	Prec@5 80.500 (78.324)
Epoch: [51][8420/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9552 (2.0195)	Prec@1 50.500 (47.782)	Prec@5 80.000 (78.322)
Epoch: [51][8430/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.1211 (2.0195)	Prec@1 42.500 (47.782)	Prec@5 76.000 (78.322)
Epoch: [51][8440/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.1948 (2.0196)	Prec@1 45.500 (47.781)	Prec@5 75.500 (78.321)
Epoch: [51][8450/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.1286 (2.0196)	Prec@1 41.500 (47.780)	Prec@5 75.500 (78.320)
Epoch: [51][8460/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.8949 (2.0195)	Prec@1 47.000 (47.781)	Prec@5 81.000 (78.323)
Epoch: [51][8470/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.1708 (2.0195)	Prec@1 42.000 (47.783)	Prec@5 78.000 (78.324)
Epoch: [51][8480/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.0014 (2.0195)	Prec@1 51.000 (47.783)	Prec@5 78.000 (78.322)
Epoch: [51][8490/9018]	Time 0.655 (0.625)	Data 0.001 (0.003)	Loss 1.9387 (2.0195)	Prec@1 45.500 (47.783)	Prec@5 79.000 (78.322)
Epoch: [51][8500/9018]	Time 0.589 (0.625)	Data 0.001 (0.003)	Loss 2.0207 (2.0196)	Prec@1 48.000 (47.781)	Prec@5 78.500 (78.321)
Epoch: [51][8510/9018]	Time 0.606 (0.625)	Data 0.014 (0.003)	Loss 2.1173 (2.0196)	Prec@1 48.000 (47.781)	Prec@5 72.000 (78.321)
Epoch: [51][8520/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.0941 (2.0196)	Prec@1 44.000 (47.779)	Prec@5 75.500 (78.321)
Epoch: [51][8530/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.8037 (2.0196)	Prec@1 53.000 (47.778)	Prec@5 85.000 (78.321)
Epoch: [51][8540/9018]	Time 0.641 (0.626)	Data 0.001 (0.003)	Loss 1.8633 (2.0197)	Prec@1 50.000 (47.777)	Prec@5 79.500 (78.320)
Epoch: [51][8550/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.9904 (2.0197)	Prec@1 48.000 (47.776)	Prec@5 80.000 (78.319)
Epoch: [51][8560/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0916 (2.0197)	Prec@1 42.500 (47.777)	Prec@5 81.000 (78.320)
Epoch: [51][8570/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.8467 (2.0197)	Prec@1 51.500 (47.778)	Prec@5 81.000 (78.321)
Epoch: [51][8580/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.0548 (2.0197)	Prec@1 46.500 (47.776)	Prec@5 82.000 (78.322)
Epoch: [51][8590/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.0478 (2.0197)	Prec@1 46.500 (47.775)	Prec@5 79.500 (78.322)
Epoch: [51][8600/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.1225 (2.0198)	Prec@1 41.500 (47.770)	Prec@5 76.000 (78.321)
Epoch: [51][8610/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.8040 (2.0198)	Prec@1 52.000 (47.773)	Prec@5 82.500 (78.320)
Epoch: [51][8620/9018]	Time 0.624 (0.625)	Data 0.004 (0.003)	Loss 2.0907 (2.0199)	Prec@1 43.000 (47.769)	Prec@5 82.000 (78.319)
Epoch: [51][8630/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.9182 (2.0198)	Prec@1 49.000 (47.771)	Prec@5 82.500 (78.321)
Epoch: [51][8640/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9443 (2.0198)	Prec@1 46.500 (47.771)	Prec@5 78.500 (78.320)
Epoch: [51][8650/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.9788 (2.0199)	Prec@1 49.500 (47.771)	Prec@5 80.000 (78.319)
Epoch: [51][8660/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 2.3092 (2.0200)	Prec@1 39.500 (47.771)	Prec@5 74.000 (78.317)
Epoch: [51][8670/9018]	Time 0.717 (0.625)	Data 0.001 (0.003)	Loss 2.1423 (2.0200)	Prec@1 41.500 (47.768)	Prec@5 76.500 (78.316)
Epoch: [51][8680/9018]	Time 0.602 (0.626)	Data 0.016 (0.003)	Loss 2.2044 (2.0200)	Prec@1 42.000 (47.768)	Prec@5 73.500 (78.316)
Epoch: [51][8690/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 1.9930 (2.0201)	Prec@1 48.500 (47.767)	Prec@5 80.500 (78.316)
Epoch: [51][8700/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.0069 (2.0201)	Prec@1 47.000 (47.767)	Prec@5 77.500 (78.316)
Epoch: [51][8710/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.0121 (2.0202)	Prec@1 47.500 (47.766)	Prec@5 77.000 (78.315)
Epoch: [51][8720/9018]	Time 0.803 (0.626)	Data 0.001 (0.003)	Loss 2.1508 (2.0202)	Prec@1 44.500 (47.765)	Prec@5 77.000 (78.313)
Epoch: [51][8730/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.0394 (2.0202)	Prec@1 46.500 (47.765)	Prec@5 78.000 (78.315)
Epoch: [51][8740/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.0324 (2.0202)	Prec@1 43.500 (47.764)	Prec@5 77.000 (78.314)
Epoch: [51][8750/9018]	Time 0.589 (0.625)	Data 0.001 (0.003)	Loss 2.0756 (2.0202)	Prec@1 43.000 (47.763)	Prec@5 81.000 (78.314)
Epoch: [51][8760/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.9942 (2.0202)	Prec@1 51.000 (47.763)	Prec@5 77.000 (78.315)
Epoch: [51][8770/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 2.1397 (2.0202)	Prec@1 44.500 (47.763)	Prec@5 74.000 (78.314)
Epoch: [51][8780/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.9833 (2.0201)	Prec@1 46.500 (47.762)	Prec@5 78.000 (78.315)
Epoch: [51][8790/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 1.8407 (2.0201)	Prec@1 57.000 (47.763)	Prec@5 81.000 (78.315)
Epoch: [51][8800/9018]	Time 0.647 (0.626)	Data 0.001 (0.003)	Loss 2.1432 (2.0202)	Prec@1 45.500 (47.762)	Prec@5 76.500 (78.314)
Epoch: [51][8810/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 1.8167 (2.0202)	Prec@1 55.500 (47.763)	Prec@5 80.500 (78.314)
Epoch: [51][8820/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.1793 (2.0202)	Prec@1 42.000 (47.763)	Prec@5 77.500 (78.314)
Epoch: [51][8830/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.9332 (2.0201)	Prec@1 51.000 (47.765)	Prec@5 77.500 (78.315)
Epoch: [51][8840/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 2.0195 (2.0201)	Prec@1 50.000 (47.765)	Prec@5 78.500 (78.316)
Epoch: [51][8850/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 1.8285 (2.0201)	Prec@1 53.000 (47.765)	Prec@5 80.500 (78.316)
Epoch: [51][8860/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 2.1386 (2.0201)	Prec@1 49.000 (47.766)	Prec@5 73.500 (78.314)
Epoch: [51][8870/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0256 (2.0201)	Prec@1 48.000 (47.767)	Prec@5 79.500 (78.314)
Epoch: [51][8880/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 1.9279 (2.0201)	Prec@1 48.500 (47.766)	Prec@5 81.500 (78.314)
Epoch: [51][8890/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 1.9483 (2.0201)	Prec@1 46.500 (47.765)	Prec@5 79.000 (78.314)
Epoch: [51][8900/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 1.9536 (2.0201)	Prec@1 48.000 (47.766)	Prec@5 79.500 (78.315)
Epoch: [51][8910/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.2502 (2.0201)	Prec@1 43.500 (47.765)	Prec@5 73.500 (78.314)
Epoch: [51][8920/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0927 (2.0201)	Prec@1 44.000 (47.766)	Prec@5 74.000 (78.314)
Epoch: [51][8930/9018]	Time 0.642 (0.626)	Data 0.001 (0.003)	Loss 2.0342 (2.0202)	Prec@1 45.000 (47.764)	Prec@5 79.000 (78.313)
Epoch: [51][8940/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 1.8704 (2.0202)	Prec@1 51.000 (47.765)	Prec@5 82.000 (78.313)
Epoch: [51][8950/9018]	Time 0.604 (0.625)	Data 0.019 (0.003)	Loss 2.1078 (2.0201)	Prec@1 43.500 (47.765)	Prec@5 79.500 (78.315)
Epoch: [51][8960/9018]	Time 0.622 (0.626)	Data 0.015 (0.003)	Loss 2.1383 (2.0201)	Prec@1 39.500 (47.764)	Prec@5 74.500 (78.313)
Epoch: [51][8970/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.9186 (2.0201)	Prec@1 52.000 (47.765)	Prec@5 81.500 (78.314)
Epoch: [51][8980/9018]	Time 0.609 (0.626)	Data 0.008 (0.003)	Loss 1.9367 (2.0202)	Prec@1 45.000 (47.763)	Prec@5 83.500 (78.312)
Epoch: [51][8990/9018]	Time 0.612 (0.626)	Data 0.005 (0.003)	Loss 1.8280 (2.0201)	Prec@1 44.500 (47.762)	Prec@5 83.500 (78.313)
Epoch: [51][9000/9018]	Time 0.741 (0.626)	Data 0.001 (0.003)	Loss 1.9722 (2.0202)	Prec@1 49.000 (47.761)	Prec@5 79.000 (78.313)
Epoch: [51][9010/9018]	Time 0.636 (0.626)	Data 0.000 (0.003)	Loss 2.0761 (2.0203)	Prec@1 45.000 (47.759)	Prec@5 78.000 (78.311)
Test: [0/183]	Time 1.522 (1.522)	Loss 2.2937 (2.2937)	Prec@1 38.000 (38.000)	Prec@5 76.500 (76.500)
Test: [10/183]	Time 0.209 (0.329)	Loss 1.5480 (1.8158)	Prec@1 60.000 (50.955)	Prec@5 83.500 (83.727)
Test: [20/183]	Time 0.205 (0.276)	Loss 2.0153 (1.7670)	Prec@1 50.000 (51.262)	Prec@5 79.500 (83.833)
Test: [30/183]	Time 0.224 (0.255)	Loss 2.2145 (1.7899)	Prec@1 36.000 (51.081)	Prec@5 78.500 (83.468)
Test: [40/183]	Time 0.208 (0.248)	Loss 2.1733 (1.7759)	Prec@1 39.000 (51.939)	Prec@5 82.500 (83.354)
Test: [50/183]	Time 0.187 (0.241)	Loss 1.6471 (1.7399)	Prec@1 53.500 (53.069)	Prec@5 87.500 (83.814)
Test: [60/183]	Time 0.206 (0.234)	Loss 2.2372 (1.8040)	Prec@1 44.000 (51.082)	Prec@5 72.000 (82.885)
Test: [70/183]	Time 0.193 (0.230)	Loss 1.8286 (1.7865)	Prec@1 51.500 (51.500)	Prec@5 81.000 (83.254)
Test: [80/183]	Time 0.194 (0.226)	Loss 1.0930 (1.7635)	Prec@1 70.000 (51.796)	Prec@5 94.500 (83.611)
Test: [90/183]	Time 0.198 (0.224)	Loss 2.4629 (1.7634)	Prec@1 35.500 (51.835)	Prec@5 72.000 (83.604)
Test: [100/183]	Time 0.187 (0.221)	Loss 0.8455 (1.7664)	Prec@1 75.500 (51.782)	Prec@5 93.500 (83.416)
Test: [110/183]	Time 0.199 (0.220)	Loss 0.9357 (1.7731)	Prec@1 74.500 (51.662)	Prec@5 95.000 (83.225)
Test: [120/183]	Time 0.203 (0.220)	Loss 2.2046 (1.7766)	Prec@1 38.500 (51.459)	Prec@5 72.000 (83.174)
Test: [130/183]	Time 0.201 (0.219)	Loss 3.0339 (1.7807)	Prec@1 24.500 (51.485)	Prec@5 69.500 (83.317)
Test: [140/183]	Time 0.199 (0.218)	Loss 1.8056 (1.7677)	Prec@1 55.000 (51.911)	Prec@5 80.500 (83.493)
Test: [150/183]	Time 0.203 (0.218)	Loss 0.7704 (1.7598)	Prec@1 78.000 (52.106)	Prec@5 98.000 (83.619)
Test: [160/183]	Time 0.208 (0.216)	Loss 1.6729 (1.7586)	Prec@1 54.000 (52.298)	Prec@5 83.000 (83.606)
Test: [170/183]	Time 0.192 (0.216)	Loss 2.2937 (1.7735)	Prec@1 31.500 (51.909)	Prec@5 80.500 (83.398)
Test: [180/183]	Time 0.176 (0.215)	Loss 2.1044 (1.7828)	Prec@1 41.000 (51.812)	Prec@5 82.000 (83.224)
 * Prec@1 51.805 Prec@5 83.203
Epoch: [52][0/9018]	Time 3.012 (3.012)	Data 2.400 (2.400)	Loss 1.9452 (1.9452)	Prec@1 52.500 (52.500)	Prec@5 79.000 (79.000)
Epoch: [52][10/9018]	Time 0.618 (0.829)	Data 0.001 (0.219)	Loss 1.8964 (2.0328)	Prec@1 50.000 (47.955)	Prec@5 82.500 (79.364)
Epoch: [52][20/9018]	Time 0.600 (0.734)	Data 0.001 (0.117)	Loss 1.9728 (2.0046)	Prec@1 50.000 (48.452)	Prec@5 77.500 (79.000)
Epoch: [52][30/9018]	Time 0.613 (0.693)	Data 0.001 (0.079)	Loss 2.0739 (2.0030)	Prec@1 45.500 (48.532)	Prec@5 79.000 (78.565)
Epoch: [52][40/9018]	Time 0.634 (0.681)	Data 0.001 (0.060)	Loss 1.8296 (1.9984)	Prec@1 48.000 (48.561)	Prec@5 83.500 (78.793)
Epoch: [52][50/9018]	Time 0.621 (0.670)	Data 0.001 (0.049)	Loss 1.8640 (1.9956)	Prec@1 51.500 (48.588)	Prec@5 81.000 (78.578)
Epoch: [52][60/9018]	Time 0.602 (0.661)	Data 0.001 (0.041)	Loss 2.0522 (1.9892)	Prec@1 48.000 (48.689)	Prec@5 80.000 (78.689)
Epoch: [52][70/9018]	Time 0.598 (0.658)	Data 0.001 (0.035)	Loss 2.1443 (1.9868)	Prec@1 44.500 (48.754)	Prec@5 74.500 (78.683)
Epoch: [52][80/9018]	Time 0.763 (0.654)	Data 0.001 (0.031)	Loss 1.9459 (1.9868)	Prec@1 52.000 (48.617)	Prec@5 79.500 (78.716)
Epoch: [52][90/9018]	Time 0.599 (0.650)	Data 0.016 (0.028)	Loss 2.0008 (1.9841)	Prec@1 46.500 (48.687)	Prec@5 75.000 (78.775)
Epoch: [52][100/9018]	Time 0.662 (0.649)	Data 0.014 (0.026)	Loss 1.9179 (1.9877)	Prec@1 48.500 (48.589)	Prec@5 83.000 (78.713)
Epoch: [52][110/9018]	Time 0.600 (0.646)	Data 0.001 (0.023)	Loss 1.8536 (1.9856)	Prec@1 53.500 (48.667)	Prec@5 81.000 (78.725)
Epoch: [52][120/9018]	Time 0.601 (0.645)	Data 0.016 (0.022)	Loss 1.9626 (1.9903)	Prec@1 51.500 (48.397)	Prec@5 78.500 (78.653)
Epoch: [52][130/9018]	Time 0.755 (0.644)	Data 0.001 (0.020)	Loss 1.8233 (1.9880)	Prec@1 57.000 (48.424)	Prec@5 80.500 (78.702)
Epoch: [52][140/9018]	Time 0.619 (0.642)	Data 0.001 (0.019)	Loss 2.1713 (1.9877)	Prec@1 44.000 (48.468)	Prec@5 76.500 (78.748)
Epoch: [52][150/9018]	Time 0.612 (0.642)	Data 0.001 (0.018)	Loss 2.0538 (1.9928)	Prec@1 46.500 (48.318)	Prec@5 80.000 (78.682)
Epoch: [52][160/9018]	Time 0.604 (0.640)	Data 0.016 (0.017)	Loss 1.9841 (1.9956)	Prec@1 53.500 (48.301)	Prec@5 75.500 (78.602)
Epoch: [52][170/9018]	Time 0.615 (0.640)	Data 0.001 (0.016)	Loss 2.0222 (1.9985)	Prec@1 48.000 (48.284)	Prec@5 79.000 (78.561)
Epoch: [52][180/9018]	Time 0.622 (0.639)	Data 0.001 (0.015)	Loss 1.9510 (1.9942)	Prec@1 48.500 (48.329)	Prec@5 79.500 (78.641)
Epoch: [52][190/9018]	Time 0.624 (0.638)	Data 0.001 (0.014)	Loss 2.0439 (1.9971)	Prec@1 47.000 (48.230)	Prec@5 79.500 (78.647)
Epoch: [52][200/9018]	Time 0.609 (0.638)	Data 0.001 (0.014)	Loss 1.9681 (1.9978)	Prec@1 47.500 (48.184)	Prec@5 77.000 (78.634)
Epoch: [52][210/9018]	Time 0.616 (0.637)	Data 0.001 (0.013)	Loss 1.8824 (1.9983)	Prec@1 54.000 (48.216)	Prec@5 79.500 (78.637)
Epoch: [52][220/9018]	Time 0.634 (0.636)	Data 0.001 (0.013)	Loss 2.0074 (1.9993)	Prec@1 48.500 (48.206)	Prec@5 78.000 (78.622)
Epoch: [52][230/9018]	Time 0.652 (0.636)	Data 0.001 (0.012)	Loss 2.0648 (1.9984)	Prec@1 46.000 (48.216)	Prec@5 76.500 (78.630)
Epoch: [52][240/9018]	Time 0.596 (0.635)	Data 0.001 (0.012)	Loss 2.0432 (2.0004)	Prec@1 48.500 (48.178)	Prec@5 79.000 (78.585)
Epoch: [52][250/9018]	Time 0.622 (0.635)	Data 0.001 (0.011)	Loss 1.8954 (1.9998)	Prec@1 51.000 (48.165)	Prec@5 80.500 (78.596)
Epoch: [52][260/9018]	Time 0.638 (0.634)	Data 0.001 (0.011)	Loss 2.0058 (1.9974)	Prec@1 46.000 (48.178)	Prec@5 82.000 (78.644)
Epoch: [52][270/9018]	Time 0.613 (0.634)	Data 0.001 (0.011)	Loss 2.0746 (2.0002)	Prec@1 44.500 (48.105)	Prec@5 79.500 (78.594)
Epoch: [52][280/9018]	Time 0.627 (0.634)	Data 0.014 (0.010)	Loss 1.9597 (2.0012)	Prec@1 48.500 (48.059)	Prec@5 79.000 (78.585)
Epoch: [52][290/9018]	Time 0.602 (0.633)	Data 0.001 (0.010)	Loss 1.8620 (2.0005)	Prec@1 50.500 (48.100)	Prec@5 81.000 (78.612)
Epoch: [52][300/9018]	Time 0.603 (0.633)	Data 0.001 (0.010)	Loss 1.8478 (1.9980)	Prec@1 51.000 (48.174)	Prec@5 80.500 (78.638)
Epoch: [52][310/9018]	Time 0.602 (0.633)	Data 0.001 (0.010)	Loss 2.0752 (1.9972)	Prec@1 49.500 (48.167)	Prec@5 76.000 (78.666)
Epoch: [52][320/9018]	Time 0.634 (0.633)	Data 0.017 (0.009)	Loss 1.8656 (1.9976)	Prec@1 51.500 (48.192)	Prec@5 79.000 (78.646)
Epoch: [52][330/9018]	Time 0.593 (0.633)	Data 0.001 (0.009)	Loss 2.1610 (2.0010)	Prec@1 50.500 (48.154)	Prec@5 75.500 (78.601)
Epoch: [52][340/9018]	Time 0.606 (0.632)	Data 0.004 (0.009)	Loss 1.9454 (2.0017)	Prec@1 49.500 (48.122)	Prec@5 79.500 (78.587)
Epoch: [52][350/9018]	Time 0.623 (0.632)	Data 0.001 (0.009)	Loss 2.0749 (2.0018)	Prec@1 46.000 (48.115)	Prec@5 80.500 (78.587)
Epoch: [52][360/9018]	Time 0.608 (0.632)	Data 0.017 (0.009)	Loss 2.3356 (2.0012)	Prec@1 42.500 (48.125)	Prec@5 72.500 (78.614)
Epoch: [52][370/9018]	Time 0.618 (0.632)	Data 0.001 (0.008)	Loss 2.0582 (2.0012)	Prec@1 46.500 (48.115)	Prec@5 78.500 (78.624)
Epoch: [52][380/9018]	Time 0.633 (0.632)	Data 0.001 (0.008)	Loss 1.8847 (2.0001)	Prec@1 51.500 (48.135)	Prec@5 79.500 (78.629)
Epoch: [52][390/9018]	Time 0.625 (0.631)	Data 0.001 (0.008)	Loss 1.9980 (1.9995)	Prec@1 50.000 (48.130)	Prec@5 75.500 (78.614)
Epoch: [52][400/9018]	Time 0.615 (0.631)	Data 0.001 (0.008)	Loss 2.0125 (1.9993)	Prec@1 53.500 (48.197)	Prec@5 80.000 (78.607)
Epoch: [52][410/9018]	Time 0.760 (0.631)	Data 0.001 (0.008)	Loss 1.8827 (1.9998)	Prec@1 47.500 (48.167)	Prec@5 80.500 (78.589)
Epoch: [52][420/9018]	Time 0.618 (0.631)	Data 0.001 (0.008)	Loss 2.0199 (2.0000)	Prec@1 49.000 (48.165)	Prec@5 76.500 (78.599)
Epoch: [52][430/9018]	Time 0.623 (0.630)	Data 0.001 (0.008)	Loss 2.0277 (2.0004)	Prec@1 46.000 (48.155)	Prec@5 79.000 (78.588)
Epoch: [52][440/9018]	Time 0.607 (0.630)	Data 0.001 (0.008)	Loss 1.8332 (2.0002)	Prec@1 50.000 (48.152)	Prec@5 79.500 (78.580)
Epoch: [52][450/9018]	Time 0.610 (0.630)	Data 0.014 (0.007)	Loss 1.9560 (1.9990)	Prec@1 53.000 (48.186)	Prec@5 79.500 (78.611)
Epoch: [52][460/9018]	Time 0.784 (0.630)	Data 0.001 (0.007)	Loss 1.7085 (1.9986)	Prec@1 48.500 (48.169)	Prec@5 83.500 (78.612)
Epoch: [52][470/9018]	Time 0.622 (0.630)	Data 0.001 (0.007)	Loss 1.7983 (1.9969)	Prec@1 52.000 (48.212)	Prec@5 81.500 (78.639)
Epoch: [52][480/9018]	Time 0.612 (0.629)	Data 0.016 (0.007)	Loss 1.8063 (1.9966)	Prec@1 50.500 (48.221)	Prec@5 84.500 (78.656)
Epoch: [52][490/9018]	Time 0.591 (0.629)	Data 0.001 (0.007)	Loss 1.7153 (1.9968)	Prec@1 52.000 (48.202)	Prec@5 83.500 (78.662)
Epoch: [52][500/9018]	Time 0.615 (0.629)	Data 0.001 (0.007)	Loss 1.9525 (1.9963)	Prec@1 48.500 (48.195)	Prec@5 77.000 (78.677)
Epoch: [52][510/9018]	Time 0.634 (0.629)	Data 0.001 (0.007)	Loss 2.1683 (1.9973)	Prec@1 42.500 (48.173)	Prec@5 74.000 (78.646)
Epoch: [52][520/9018]	Time 0.601 (0.629)	Data 0.001 (0.007)	Loss 2.1069 (1.9971)	Prec@1 44.500 (48.185)	Prec@5 73.500 (78.634)
Epoch: [52][530/9018]	Time 0.647 (0.629)	Data 0.001 (0.007)	Loss 2.1723 (1.9974)	Prec@1 44.500 (48.182)	Prec@5 73.500 (78.605)
Epoch: [52][540/9018]	Time 0.622 (0.628)	Data 0.001 (0.007)	Loss 1.9537 (1.9979)	Prec@1 50.000 (48.166)	Prec@5 81.000 (78.604)
Epoch: [52][550/9018]	Time 0.624 (0.628)	Data 0.001 (0.007)	Loss 1.9827 (1.9982)	Prec@1 46.500 (48.176)	Prec@5 81.000 (78.601)
Epoch: [52][560/9018]	Time 0.617 (0.628)	Data 0.001 (0.006)	Loss 2.2758 (1.9975)	Prec@1 45.000 (48.195)	Prec@5 72.000 (78.599)
Epoch: [52][570/9018]	Time 0.620 (0.628)	Data 0.001 (0.006)	Loss 2.1141 (1.9968)	Prec@1 46.000 (48.200)	Prec@5 78.000 (78.635)
Epoch: [52][580/9018]	Time 0.605 (0.628)	Data 0.001 (0.006)	Loss 1.8045 (1.9967)	Prec@1 55.500 (48.212)	Prec@5 81.500 (78.649)
Epoch: [52][590/9018]	Time 0.600 (0.628)	Data 0.001 (0.006)	Loss 1.9774 (1.9963)	Prec@1 49.500 (48.221)	Prec@5 79.500 (78.661)
Epoch: [52][600/9018]	Time 0.615 (0.628)	Data 0.001 (0.006)	Loss 1.7957 (1.9962)	Prec@1 50.500 (48.233)	Prec@5 83.000 (78.664)
Epoch: [52][610/9018]	Time 0.628 (0.628)	Data 0.001 (0.006)	Loss 2.0460 (1.9960)	Prec@1 48.000 (48.273)	Prec@5 77.500 (78.662)
Epoch: [52][620/9018]	Time 0.588 (0.628)	Data 0.001 (0.006)	Loss 2.1206 (1.9945)	Prec@1 46.500 (48.285)	Prec@5 76.500 (78.695)
Epoch: [52][630/9018]	Time 0.622 (0.628)	Data 0.014 (0.006)	Loss 2.0457 (1.9946)	Prec@1 45.500 (48.281)	Prec@5 81.000 (78.710)
Epoch: [52][640/9018]	Time 0.592 (0.628)	Data 0.001 (0.006)	Loss 1.8608 (1.9945)	Prec@1 53.500 (48.284)	Prec@5 81.000 (78.707)
Epoch: [52][650/9018]	Time 0.649 (0.628)	Data 0.015 (0.006)	Loss 1.8279 (1.9934)	Prec@1 48.500 (48.296)	Prec@5 82.500 (78.720)
Epoch: [52][660/9018]	Time 0.605 (0.628)	Data 0.001 (0.006)	Loss 2.1359 (1.9936)	Prec@1 47.000 (48.308)	Prec@5 76.000 (78.725)
Epoch: [52][670/9018]	Time 0.605 (0.627)	Data 0.001 (0.006)	Loss 1.8845 (1.9934)	Prec@1 51.500 (48.316)	Prec@5 81.500 (78.729)
Epoch: [52][680/9018]	Time 0.608 (0.627)	Data 0.001 (0.006)	Loss 2.2059 (1.9938)	Prec@1 45.000 (48.311)	Prec@5 74.000 (78.719)
Epoch: [52][690/9018]	Time 0.609 (0.627)	Data 0.001 (0.006)	Loss 2.0974 (1.9941)	Prec@1 42.000 (48.317)	Prec@5 78.000 (78.721)
Epoch: [52][700/9018]	Time 0.606 (0.627)	Data 0.001 (0.006)	Loss 1.9417 (1.9931)	Prec@1 50.500 (48.357)	Prec@5 78.000 (78.740)
Epoch: [52][710/9018]	Time 0.611 (0.627)	Data 0.001 (0.006)	Loss 2.0411 (1.9940)	Prec@1 45.000 (48.328)	Prec@5 78.000 (78.740)
Epoch: [52][720/9018]	Time 0.626 (0.627)	Data 0.001 (0.005)	Loss 2.1772 (1.9943)	Prec@1 42.500 (48.324)	Prec@5 75.500 (78.730)
Epoch: [52][730/9018]	Time 0.604 (0.627)	Data 0.001 (0.005)	Loss 1.7774 (1.9936)	Prec@1 50.500 (48.326)	Prec@5 79.000 (78.731)
Epoch: [52][740/9018]	Time 0.717 (0.627)	Data 0.001 (0.005)	Loss 2.0527 (1.9937)	Prec@1 48.000 (48.329)	Prec@5 73.500 (78.713)
Epoch: [52][750/9018]	Time 0.609 (0.626)	Data 0.001 (0.005)	Loss 1.8914 (1.9940)	Prec@1 49.000 (48.310)	Prec@5 80.000 (78.706)
Epoch: [52][760/9018]	Time 0.618 (0.627)	Data 0.011 (0.005)	Loss 2.1416 (1.9944)	Prec@1 45.000 (48.312)	Prec@5 77.000 (78.713)
Epoch: [52][770/9018]	Time 0.644 (0.626)	Data 0.001 (0.005)	Loss 2.2860 (1.9946)	Prec@1 44.000 (48.321)	Prec@5 72.000 (78.698)
Epoch: [52][780/9018]	Time 0.611 (0.627)	Data 0.001 (0.005)	Loss 2.0757 (1.9945)	Prec@1 45.500 (48.338)	Prec@5 76.000 (78.691)
Epoch: [52][790/9018]	Time 0.724 (0.626)	Data 0.015 (0.005)	Loss 1.9479 (1.9951)	Prec@1 46.500 (48.326)	Prec@5 76.000 (78.685)
Epoch: [52][800/9018]	Time 0.622 (0.626)	Data 0.001 (0.005)	Loss 2.0053 (1.9945)	Prec@1 46.000 (48.343)	Prec@5 80.000 (78.697)
Epoch: [52][810/9018]	Time 0.621 (0.626)	Data 0.001 (0.005)	Loss 2.1275 (1.9946)	Prec@1 45.500 (48.350)	Prec@5 75.000 (78.687)
Epoch: [52][820/9018]	Time 0.593 (0.626)	Data 0.001 (0.005)	Loss 1.9817 (1.9948)	Prec@1 48.000 (48.338)	Prec@5 83.500 (78.698)
Epoch: [52][830/9018]	Time 0.628 (0.626)	Data 0.014 (0.005)	Loss 1.9668 (1.9943)	Prec@1 48.000 (48.347)	Prec@5 79.000 (78.717)
Epoch: [52][840/9018]	Time 0.641 (0.626)	Data 0.001 (0.005)	Loss 2.0387 (1.9931)	Prec@1 46.000 (48.371)	Prec@5 76.500 (78.734)
Epoch: [52][850/9018]	Time 0.624 (0.626)	Data 0.001 (0.005)	Loss 1.8984 (1.9918)	Prec@1 52.000 (48.406)	Prec@5 80.000 (78.756)
Epoch: [52][860/9018]	Time 0.605 (0.626)	Data 0.001 (0.005)	Loss 1.9431 (1.9924)	Prec@1 50.500 (48.397)	Prec@5 79.000 (78.732)
Epoch: [52][870/9018]	Time 0.588 (0.626)	Data 0.001 (0.005)	Loss 1.9151 (1.9924)	Prec@1 48.000 (48.374)	Prec@5 82.000 (78.731)
Epoch: [52][880/9018]	Time 0.611 (0.626)	Data 0.013 (0.005)	Loss 2.0336 (1.9928)	Prec@1 47.000 (48.370)	Prec@5 76.000 (78.715)
Epoch: [52][890/9018]	Time 0.631 (0.626)	Data 0.001 (0.005)	Loss 1.9734 (1.9930)	Prec@1 49.500 (48.372)	Prec@5 80.000 (78.709)
Epoch: [52][900/9018]	Time 0.611 (0.626)	Data 0.001 (0.005)	Loss 2.0825 (1.9937)	Prec@1 49.000 (48.355)	Prec@5 76.000 (78.699)
Epoch: [52][910/9018]	Time 0.621 (0.626)	Data 0.001 (0.005)	Loss 1.9768 (1.9941)	Prec@1 47.500 (48.345)	Prec@5 76.500 (78.691)
Epoch: [52][920/9018]	Time 0.644 (0.626)	Data 0.001 (0.005)	Loss 1.9968 (1.9940)	Prec@1 45.500 (48.346)	Prec@5 78.000 (78.693)
Epoch: [52][930/9018]	Time 0.616 (0.626)	Data 0.001 (0.005)	Loss 1.7712 (1.9938)	Prec@1 53.000 (48.350)	Prec@5 83.500 (78.710)
Epoch: [52][940/9018]	Time 0.624 (0.626)	Data 0.001 (0.005)	Loss 2.0503 (1.9935)	Prec@1 47.000 (48.345)	Prec@5 77.500 (78.718)
Epoch: [52][950/9018]	Time 0.627 (0.626)	Data 0.001 (0.005)	Loss 2.2955 (1.9938)	Prec@1 49.500 (48.336)	Prec@5 73.000 (78.708)
Epoch: [52][960/9018]	Time 0.595 (0.626)	Data 0.001 (0.005)	Loss 2.1244 (1.9944)	Prec@1 47.500 (48.327)	Prec@5 76.000 (78.700)
Epoch: [52][970/9018]	Time 0.602 (0.626)	Data 0.001 (0.005)	Loss 2.0559 (1.9944)	Prec@1 46.000 (48.325)	Prec@5 78.000 (78.699)
Epoch: [52][980/9018]	Time 0.609 (0.626)	Data 0.001 (0.005)	Loss 2.0403 (1.9947)	Prec@1 46.000 (48.308)	Prec@5 82.000 (78.709)
Epoch: [52][990/9018]	Time 0.620 (0.626)	Data 0.001 (0.005)	Loss 2.0076 (1.9955)	Prec@1 47.500 (48.279)	Prec@5 75.500 (78.692)
Epoch: [52][1000/9018]	Time 0.604 (0.626)	Data 0.001 (0.005)	Loss 1.9142 (1.9949)	Prec@1 49.500 (48.292)	Prec@5 83.000 (78.707)
Epoch: [52][1010/9018]	Time 0.655 (0.626)	Data 0.001 (0.005)	Loss 1.8916 (1.9944)	Prec@1 49.500 (48.310)	Prec@5 81.000 (78.722)
Epoch: [52][1020/9018]	Time 0.602 (0.625)	Data 0.001 (0.005)	Loss 1.9021 (1.9944)	Prec@1 51.000 (48.316)	Prec@5 79.500 (78.717)
Epoch: [52][1030/9018]	Time 0.629 (0.625)	Data 0.001 (0.005)	Loss 1.8642 (1.9939)	Prec@1 51.500 (48.328)	Prec@5 80.000 (78.724)
Epoch: [52][1040/9018]	Time 0.613 (0.625)	Data 0.001 (0.005)	Loss 2.1329 (1.9944)	Prec@1 48.500 (48.329)	Prec@5 76.000 (78.713)
Epoch: [52][1050/9018]	Time 0.619 (0.625)	Data 0.001 (0.005)	Loss 2.0034 (1.9939)	Prec@1 52.000 (48.349)	Prec@5 79.000 (78.724)
Epoch: [52][1060/9018]	Time 0.614 (0.625)	Data 0.001 (0.005)	Loss 2.0471 (1.9941)	Prec@1 48.000 (48.343)	Prec@5 77.500 (78.726)
Epoch: [52][1070/9018]	Time 0.799 (0.625)	Data 0.003 (0.005)	Loss 2.0732 (1.9940)	Prec@1 45.000 (48.345)	Prec@5 76.500 (78.721)
Epoch: [52][1080/9018]	Time 0.610 (0.625)	Data 0.001 (0.005)	Loss 2.1542 (1.9945)	Prec@1 46.000 (48.338)	Prec@5 78.000 (78.711)
Epoch: [52][1090/9018]	Time 0.637 (0.625)	Data 0.001 (0.005)	Loss 1.8557 (1.9939)	Prec@1 52.000 (48.347)	Prec@5 82.500 (78.716)
Epoch: [52][1100/9018]	Time 0.604 (0.625)	Data 0.015 (0.005)	Loss 1.9089 (1.9940)	Prec@1 52.500 (48.351)	Prec@5 80.500 (78.718)
Epoch: [52][1110/9018]	Time 0.609 (0.625)	Data 0.006 (0.005)	Loss 1.7358 (1.9938)	Prec@1 52.000 (48.362)	Prec@5 82.000 (78.723)
Epoch: [52][1120/9018]	Time 0.780 (0.625)	Data 0.016 (0.005)	Loss 2.0679 (1.9942)	Prec@1 44.500 (48.353)	Prec@5 79.500 (78.721)
Epoch: [52][1130/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.8891 (1.9948)	Prec@1 48.500 (48.352)	Prec@5 80.500 (78.705)
Epoch: [52][1140/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 2.0035 (1.9951)	Prec@1 45.500 (48.336)	Prec@5 78.000 (78.697)
Epoch: [52][1150/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.9855 (1.9951)	Prec@1 45.000 (48.325)	Prec@5 79.000 (78.700)
Epoch: [52][1160/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.8912 (1.9954)	Prec@1 51.500 (48.322)	Prec@5 77.000 (78.696)
Epoch: [52][1170/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 2.0221 (1.9961)	Prec@1 47.500 (48.307)	Prec@5 79.500 (78.687)
Epoch: [52][1180/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 2.1544 (1.9958)	Prec@1 40.500 (48.311)	Prec@5 77.000 (78.689)
Epoch: [52][1190/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.9863 (1.9962)	Prec@1 48.000 (48.294)	Prec@5 81.000 (78.683)
Epoch: [52][1200/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 2.1270 (1.9962)	Prec@1 44.000 (48.292)	Prec@5 75.000 (78.675)
Epoch: [52][1210/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 1.9354 (1.9967)	Prec@1 43.500 (48.272)	Prec@5 80.000 (78.671)
Epoch: [52][1220/9018]	Time 0.641 (0.625)	Data 0.001 (0.004)	Loss 1.9889 (1.9968)	Prec@1 48.500 (48.270)	Prec@5 79.000 (78.675)
Epoch: [52][1230/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.8097 (1.9971)	Prec@1 51.000 (48.264)	Prec@5 83.000 (78.672)
Epoch: [52][1240/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 2.2477 (1.9975)	Prec@1 47.500 (48.269)	Prec@5 76.500 (78.672)
Epoch: [52][1250/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 2.1669 (1.9975)	Prec@1 41.000 (48.271)	Prec@5 78.000 (78.669)
Epoch: [52][1260/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 2.1334 (1.9972)	Prec@1 48.500 (48.285)	Prec@5 77.000 (78.676)
Epoch: [52][1270/9018]	Time 0.649 (0.625)	Data 0.001 (0.004)	Loss 2.0809 (1.9976)	Prec@1 43.500 (48.282)	Prec@5 74.500 (78.671)
Epoch: [52][1280/9018]	Time 0.604 (0.625)	Data 0.009 (0.004)	Loss 1.9887 (1.9976)	Prec@1 47.500 (48.286)	Prec@5 78.000 (78.667)
Epoch: [52][1290/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 2.0466 (1.9974)	Prec@1 46.000 (48.284)	Prec@5 74.000 (78.672)
Epoch: [52][1300/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.9180 (1.9976)	Prec@1 48.500 (48.276)	Prec@5 76.000 (78.667)
Epoch: [52][1310/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 2.0626 (1.9972)	Prec@1 51.000 (48.294)	Prec@5 76.500 (78.676)
Epoch: [52][1320/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 2.0076 (1.9969)	Prec@1 48.000 (48.296)	Prec@5 77.000 (78.683)
Epoch: [52][1330/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.9564 (1.9972)	Prec@1 46.000 (48.289)	Prec@5 80.000 (78.688)
Epoch: [52][1340/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 2.0245 (1.9971)	Prec@1 51.000 (48.292)	Prec@5 81.000 (78.690)
Epoch: [52][1350/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.8762 (1.9970)	Prec@1 47.500 (48.291)	Prec@5 82.000 (78.701)
Epoch: [52][1360/9018]	Time 0.590 (0.625)	Data 0.001 (0.004)	Loss 2.3397 (1.9977)	Prec@1 39.000 (48.283)	Prec@5 74.500 (78.682)
Epoch: [52][1370/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.8073 (1.9975)	Prec@1 50.500 (48.286)	Prec@5 84.500 (78.687)
Epoch: [52][1380/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.9151 (1.9974)	Prec@1 47.500 (48.291)	Prec@5 79.500 (78.694)
Epoch: [52][1390/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.7840 (1.9969)	Prec@1 53.500 (48.303)	Prec@5 83.000 (78.709)
Epoch: [52][1400/9018]	Time 0.726 (0.625)	Data 0.001 (0.004)	Loss 1.8286 (1.9969)	Prec@1 51.000 (48.311)	Prec@5 80.000 (78.704)
Epoch: [52][1410/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.9824 (1.9969)	Prec@1 50.000 (48.320)	Prec@5 80.500 (78.704)
Epoch: [52][1420/9018]	Time 0.609 (0.625)	Data 0.009 (0.004)	Loss 1.9344 (1.9967)	Prec@1 45.500 (48.311)	Prec@5 85.500 (78.713)
Epoch: [52][1430/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 2.0413 (1.9968)	Prec@1 47.500 (48.307)	Prec@5 78.000 (78.712)
Epoch: [52][1440/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 2.0507 (1.9973)	Prec@1 46.000 (48.300)	Prec@5 79.500 (78.706)
Epoch: [52][1450/9018]	Time 0.784 (0.625)	Data 0.001 (0.004)	Loss 2.1223 (1.9975)	Prec@1 41.500 (48.293)	Prec@5 78.500 (78.696)
Epoch: [52][1460/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.8566 (1.9973)	Prec@1 54.500 (48.308)	Prec@5 80.500 (78.696)
Epoch: [52][1470/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.9673 (1.9975)	Prec@1 51.500 (48.307)	Prec@5 75.500 (78.693)
Epoch: [52][1480/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 2.0720 (1.9977)	Prec@1 44.000 (48.298)	Prec@5 75.000 (78.687)
Epoch: [52][1490/9018]	Time 0.620 (0.625)	Data 0.008 (0.004)	Loss 2.0258 (1.9974)	Prec@1 45.500 (48.306)	Prec@5 78.000 (78.683)
Epoch: [52][1500/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 2.0781 (1.9979)	Prec@1 47.000 (48.298)	Prec@5 80.500 (78.675)
Epoch: [52][1510/9018]	Time 0.590 (0.625)	Data 0.001 (0.004)	Loss 2.1671 (1.9986)	Prec@1 41.000 (48.285)	Prec@5 78.000 (78.665)
Epoch: [52][1520/9018]	Time 0.617 (0.625)	Data 0.013 (0.004)	Loss 1.9933 (1.9984)	Prec@1 49.500 (48.288)	Prec@5 79.500 (78.673)
Epoch: [52][1530/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.9129 (1.9984)	Prec@1 47.500 (48.289)	Prec@5 84.500 (78.678)
Epoch: [52][1540/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 2.1490 (1.9987)	Prec@1 51.500 (48.281)	Prec@5 74.000 (78.678)
Epoch: [52][1550/9018]	Time 0.638 (0.625)	Data 0.001 (0.004)	Loss 2.1923 (1.9986)	Prec@1 38.000 (48.285)	Prec@5 77.500 (78.683)
Epoch: [52][1560/9018]	Time 0.615 (0.625)	Data 0.003 (0.004)	Loss 1.9153 (1.9987)	Prec@1 51.000 (48.279)	Prec@5 81.000 (78.679)
Epoch: [52][1570/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.8488 (1.9986)	Prec@1 52.500 (48.278)	Prec@5 81.000 (78.679)
Epoch: [52][1580/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.8156 (1.9987)	Prec@1 52.000 (48.273)	Prec@5 82.500 (78.677)
Epoch: [52][1590/9018]	Time 0.617 (0.625)	Data 0.017 (0.004)	Loss 2.1711 (1.9992)	Prec@1 47.000 (48.266)	Prec@5 76.000 (78.672)
Epoch: [52][1600/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 2.0219 (1.9997)	Prec@1 44.500 (48.259)	Prec@5 79.500 (78.661)
Epoch: [52][1610/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.8084 (1.9997)	Prec@1 54.000 (48.264)	Prec@5 80.500 (78.659)
Epoch: [52][1620/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.9836 (1.9998)	Prec@1 42.000 (48.264)	Prec@5 77.500 (78.657)
Epoch: [52][1630/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.9328 (1.9999)	Prec@1 53.000 (48.266)	Prec@5 79.000 (78.655)
Epoch: [52][1640/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.9452 (1.9997)	Prec@1 50.000 (48.270)	Prec@5 78.000 (78.662)
Epoch: [52][1650/9018]	Time 0.646 (0.625)	Data 0.001 (0.004)	Loss 2.0004 (1.9994)	Prec@1 47.500 (48.285)	Prec@5 77.500 (78.669)
Epoch: [52][1660/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 2.0443 (1.9994)	Prec@1 44.500 (48.281)	Prec@5 77.500 (78.670)
Epoch: [52][1670/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.9998 (1.9992)	Prec@1 49.000 (48.291)	Prec@5 80.500 (78.670)
Epoch: [52][1680/9018]	Time 0.622 (0.625)	Data 0.016 (0.004)	Loss 2.0867 (1.9995)	Prec@1 46.500 (48.288)	Prec@5 78.000 (78.670)
Epoch: [52][1690/9018]	Time 0.645 (0.625)	Data 0.001 (0.004)	Loss 2.1018 (1.9996)	Prec@1 47.000 (48.284)	Prec@5 79.000 (78.676)
Epoch: [52][1700/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 2.1621 (1.9997)	Prec@1 43.500 (48.281)	Prec@5 74.500 (78.672)
Epoch: [52][1710/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.9217 (1.9996)	Prec@1 52.000 (48.286)	Prec@5 76.500 (78.669)
Epoch: [52][1720/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.9224 (1.9996)	Prec@1 49.000 (48.292)	Prec@5 76.000 (78.668)
Epoch: [52][1730/9018]	Time 0.779 (0.625)	Data 0.001 (0.004)	Loss 1.8582 (1.9998)	Prec@1 48.500 (48.287)	Prec@5 84.000 (78.670)
Epoch: [52][1740/9018]	Time 0.609 (0.625)	Data 0.002 (0.004)	Loss 1.9534 (1.9996)	Prec@1 52.500 (48.284)	Prec@5 77.500 (78.675)
Epoch: [52][1750/9018]	Time 0.662 (0.625)	Data 0.001 (0.004)	Loss 2.2842 (2.0000)	Prec@1 44.000 (48.273)	Prec@5 74.000 (78.670)
Epoch: [52][1760/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.8773 (2.0000)	Prec@1 50.500 (48.275)	Prec@5 80.000 (78.673)
Epoch: [52][1770/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8017 (1.9996)	Prec@1 49.500 (48.281)	Prec@5 83.000 (78.678)
Epoch: [52][1780/9018]	Time 0.775 (0.625)	Data 0.001 (0.004)	Loss 1.9716 (2.0000)	Prec@1 48.500 (48.273)	Prec@5 79.000 (78.668)
Epoch: [52][1790/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.9957 (1.9999)	Prec@1 52.500 (48.278)	Prec@5 79.000 (78.673)
Epoch: [52][1800/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 2.0030 (1.9999)	Prec@1 45.500 (48.274)	Prec@5 78.000 (78.670)
Epoch: [52][1810/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.8603 (1.9995)	Prec@1 48.500 (48.278)	Prec@5 83.000 (78.675)
Epoch: [52][1820/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 2.1991 (1.9997)	Prec@1 45.500 (48.275)	Prec@5 71.500 (78.674)
Epoch: [52][1830/9018]	Time 0.653 (0.625)	Data 0.001 (0.004)	Loss 1.8747 (2.0000)	Prec@1 50.500 (48.262)	Prec@5 78.500 (78.668)
Epoch: [52][1840/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.8573 (2.0000)	Prec@1 53.000 (48.262)	Prec@5 81.000 (78.671)
Epoch: [52][1850/9018]	Time 0.643 (0.625)	Data 0.001 (0.004)	Loss 1.9708 (2.0003)	Prec@1 50.000 (48.255)	Prec@5 81.000 (78.663)
Epoch: [52][1860/9018]	Time 0.610 (0.625)	Data 0.017 (0.004)	Loss 2.2322 (2.0003)	Prec@1 46.000 (48.256)	Prec@5 74.000 (78.663)
Epoch: [52][1870/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.9917 (2.0005)	Prec@1 48.000 (48.249)	Prec@5 78.500 (78.662)
Epoch: [52][1880/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.8279 (2.0000)	Prec@1 52.000 (48.263)	Prec@5 83.000 (78.669)
Epoch: [52][1890/9018]	Time 0.610 (0.625)	Data 0.009 (0.003)	Loss 1.7882 (1.9999)	Prec@1 52.500 (48.265)	Prec@5 81.500 (78.672)
Epoch: [52][1900/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.9774 (2.0000)	Prec@1 52.500 (48.261)	Prec@5 78.000 (78.670)
Epoch: [52][1910/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.0451 (1.9999)	Prec@1 44.500 (48.262)	Prec@5 78.500 (78.672)
Epoch: [52][1920/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.8802 (1.9997)	Prec@1 55.000 (48.270)	Prec@5 80.500 (78.673)
Epoch: [52][1930/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 2.0548 (2.0000)	Prec@1 47.000 (48.261)	Prec@5 78.000 (78.670)
Epoch: [52][1940/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.9054 (1.9999)	Prec@1 51.500 (48.258)	Prec@5 80.500 (78.673)
Epoch: [52][1950/9018]	Time 0.642 (0.625)	Data 0.001 (0.003)	Loss 1.9923 (2.0000)	Prec@1 44.000 (48.252)	Prec@5 75.500 (78.672)
Epoch: [52][1960/9018]	Time 0.616 (0.625)	Data 0.017 (0.003)	Loss 2.0685 (2.0004)	Prec@1 50.000 (48.238)	Prec@5 77.000 (78.661)
Epoch: [52][1970/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.9866 (2.0003)	Prec@1 48.000 (48.239)	Prec@5 78.500 (78.665)
Epoch: [52][1980/9018]	Time 0.616 (0.625)	Data 0.014 (0.003)	Loss 1.9907 (1.9998)	Prec@1 49.500 (48.248)	Prec@5 77.000 (78.670)
Epoch: [52][1990/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.1175 (2.0000)	Prec@1 39.500 (48.237)	Prec@5 77.000 (78.668)
Epoch: [52][2000/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.0527 (1.9999)	Prec@1 45.500 (48.241)	Prec@5 79.000 (78.669)
Epoch: [52][2010/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 2.1491 (1.9997)	Prec@1 48.500 (48.246)	Prec@5 76.000 (78.674)
Epoch: [52][2020/9018]	Time 0.628 (0.625)	Data 0.002 (0.003)	Loss 1.8489 (1.9997)	Prec@1 51.500 (48.247)	Prec@5 82.500 (78.675)
Epoch: [52][2030/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 2.1997 (1.9999)	Prec@1 43.500 (48.238)	Prec@5 72.500 (78.672)
Epoch: [52][2040/9018]	Time 0.597 (0.625)	Data 0.007 (0.003)	Loss 2.1295 (2.0003)	Prec@1 42.000 (48.225)	Prec@5 79.000 (78.669)
Epoch: [52][2050/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.9830 (2.0003)	Prec@1 47.000 (48.219)	Prec@5 79.500 (78.667)
Epoch: [52][2060/9018]	Time 0.811 (0.625)	Data 0.005 (0.003)	Loss 1.8680 (2.0002)	Prec@1 51.500 (48.219)	Prec@5 82.500 (78.668)
Epoch: [52][2070/9018]	Time 0.616 (0.625)	Data 0.016 (0.003)	Loss 2.1163 (2.0005)	Prec@1 45.000 (48.218)	Prec@5 75.500 (78.668)
Epoch: [52][2080/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.9143 (2.0001)	Prec@1 51.000 (48.222)	Prec@5 81.000 (78.675)
Epoch: [52][2090/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.8470 (2.0000)	Prec@1 53.500 (48.234)	Prec@5 83.500 (78.675)
Epoch: [52][2100/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.0619 (2.0002)	Prec@1 49.500 (48.230)	Prec@5 76.500 (78.674)
Epoch: [52][2110/9018]	Time 0.779 (0.625)	Data 0.001 (0.003)	Loss 2.1584 (2.0001)	Prec@1 40.500 (48.227)	Prec@5 77.500 (78.672)
Epoch: [52][2120/9018]	Time 0.597 (0.625)	Data 0.014 (0.003)	Loss 1.9732 (2.0004)	Prec@1 50.000 (48.223)	Prec@5 80.500 (78.664)
Epoch: [52][2130/9018]	Time 0.633 (0.625)	Data 0.014 (0.003)	Loss 2.0162 (2.0007)	Prec@1 48.500 (48.218)	Prec@5 76.500 (78.661)
Epoch: [52][2140/9018]	Time 0.614 (0.625)	Data 0.009 (0.003)	Loss 1.9863 (2.0005)	Prec@1 48.500 (48.227)	Prec@5 80.000 (78.665)
Epoch: [52][2150/9018]	Time 0.616 (0.625)	Data 0.015 (0.003)	Loss 1.9035 (2.0004)	Prec@1 46.500 (48.227)	Prec@5 80.000 (78.669)
Epoch: [52][2160/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 2.0809 (2.0004)	Prec@1 48.000 (48.233)	Prec@5 77.000 (78.665)
Epoch: [52][2170/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9765 (2.0002)	Prec@1 47.500 (48.235)	Prec@5 80.500 (78.670)
Epoch: [52][2180/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.9393 (2.0004)	Prec@1 48.500 (48.226)	Prec@5 83.000 (78.672)
Epoch: [52][2190/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 1.8421 (2.0002)	Prec@1 55.000 (48.234)	Prec@5 80.500 (78.672)
Epoch: [52][2200/9018]	Time 0.608 (0.625)	Data 0.015 (0.003)	Loss 2.0396 (2.0005)	Prec@1 45.500 (48.220)	Prec@5 83.000 (78.673)
Epoch: [52][2210/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.9309 (2.0006)	Prec@1 52.000 (48.212)	Prec@5 80.000 (78.673)
Epoch: [52][2220/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.1544 (2.0010)	Prec@1 45.500 (48.197)	Prec@5 78.000 (78.665)
Epoch: [52][2230/9018]	Time 0.588 (0.625)	Data 0.001 (0.003)	Loss 1.9058 (2.0009)	Prec@1 49.500 (48.198)	Prec@5 80.000 (78.665)
Epoch: [52][2240/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 1.9569 (2.0008)	Prec@1 49.000 (48.197)	Prec@5 79.000 (78.670)
Epoch: [52][2250/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.0611 (2.0008)	Prec@1 43.000 (48.196)	Prec@5 77.000 (78.668)
Epoch: [52][2260/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 2.0129 (2.0010)	Prec@1 42.000 (48.188)	Prec@5 81.000 (78.667)
Epoch: [52][2270/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.0659 (2.0009)	Prec@1 48.000 (48.194)	Prec@5 78.500 (78.668)
Epoch: [52][2280/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 2.0592 (2.0010)	Prec@1 52.000 (48.190)	Prec@5 78.000 (78.668)
Epoch: [52][2290/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0251 (2.0011)	Prec@1 46.500 (48.188)	Prec@5 79.500 (78.667)
Epoch: [52][2300/9018]	Time 0.596 (0.625)	Data 0.016 (0.003)	Loss 1.8038 (2.0012)	Prec@1 51.500 (48.187)	Prec@5 83.500 (78.667)
Epoch: [52][2310/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.1060 (2.0015)	Prec@1 46.000 (48.172)	Prec@5 77.000 (78.663)
Epoch: [52][2320/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.9166 (2.0016)	Prec@1 50.500 (48.172)	Prec@5 81.000 (78.664)
Epoch: [52][2330/9018]	Time 0.643 (0.625)	Data 0.001 (0.003)	Loss 1.8835 (2.0018)	Prec@1 52.000 (48.170)	Prec@5 80.000 (78.657)
Epoch: [52][2340/9018]	Time 0.774 (0.625)	Data 0.001 (0.003)	Loss 1.9876 (2.0019)	Prec@1 50.500 (48.170)	Prec@5 79.500 (78.655)
Epoch: [52][2350/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.9356 (2.0018)	Prec@1 50.000 (48.171)	Prec@5 80.500 (78.657)
Epoch: [52][2360/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.9720 (2.0017)	Prec@1 49.000 (48.171)	Prec@5 79.000 (78.657)
Epoch: [52][2370/9018]	Time 0.630 (0.625)	Data 0.015 (0.003)	Loss 2.0100 (2.0018)	Prec@1 45.000 (48.166)	Prec@5 80.500 (78.656)
Epoch: [52][2380/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.7900 (2.0021)	Prec@1 52.000 (48.161)	Prec@5 84.500 (78.650)
Epoch: [52][2390/9018]	Time 0.775 (0.625)	Data 0.001 (0.003)	Loss 2.0637 (2.0024)	Prec@1 49.000 (48.156)	Prec@5 77.500 (78.647)
Epoch: [52][2400/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.9917 (2.0023)	Prec@1 47.000 (48.160)	Prec@5 81.500 (78.648)
Epoch: [52][2410/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.8783 (2.0024)	Prec@1 51.000 (48.159)	Prec@5 82.500 (78.648)
Epoch: [52][2420/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.7862 (2.0025)	Prec@1 49.500 (48.154)	Prec@5 85.000 (78.646)
Epoch: [52][2430/9018]	Time 0.645 (0.625)	Data 0.015 (0.003)	Loss 1.9773 (2.0024)	Prec@1 48.000 (48.157)	Prec@5 77.000 (78.651)
Epoch: [52][2440/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0055 (2.0025)	Prec@1 47.500 (48.155)	Prec@5 78.000 (78.645)
Epoch: [52][2450/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0538 (2.0028)	Prec@1 50.000 (48.150)	Prec@5 75.000 (78.643)
Epoch: [52][2460/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.8109 (2.0027)	Prec@1 50.500 (48.148)	Prec@5 83.500 (78.642)
Epoch: [52][2470/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.8998 (2.0028)	Prec@1 51.500 (48.149)	Prec@5 79.500 (78.642)
Epoch: [52][2480/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 2.0156 (2.0029)	Prec@1 46.000 (48.148)	Prec@5 81.000 (78.636)
Epoch: [52][2490/9018]	Time 0.620 (0.625)	Data 0.016 (0.003)	Loss 2.2249 (2.0030)	Prec@1 43.000 (48.147)	Prec@5 75.500 (78.634)
Epoch: [52][2500/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 2.0717 (2.0033)	Prec@1 44.000 (48.142)	Prec@5 79.000 (78.624)
Epoch: [52][2510/9018]	Time 0.612 (0.625)	Data 0.016 (0.003)	Loss 2.1939 (2.0031)	Prec@1 42.000 (48.144)	Prec@5 77.500 (78.629)
Epoch: [52][2520/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.0743 (2.0032)	Prec@1 42.000 (48.143)	Prec@5 74.500 (78.623)
Epoch: [52][2530/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.9370 (2.0034)	Prec@1 53.500 (48.139)	Prec@5 81.500 (78.623)
Epoch: [52][2540/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.1110 (2.0037)	Prec@1 47.500 (48.131)	Prec@5 75.500 (78.616)
Epoch: [52][2550/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.9802 (2.0037)	Prec@1 47.500 (48.127)	Prec@5 79.500 (78.615)
Epoch: [52][2560/9018]	Time 0.609 (0.625)	Data 0.008 (0.003)	Loss 1.9019 (2.0037)	Prec@1 46.000 (48.128)	Prec@5 80.000 (78.615)
Epoch: [52][2570/9018]	Time 0.637 (0.625)	Data 0.016 (0.003)	Loss 1.9623 (2.0038)	Prec@1 50.500 (48.125)	Prec@5 79.000 (78.613)
Epoch: [52][2580/9018]	Time 0.632 (0.625)	Data 0.015 (0.003)	Loss 1.8681 (2.0036)	Prec@1 48.500 (48.125)	Prec@5 79.000 (78.617)
Epoch: [52][2590/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.9992 (2.0035)	Prec@1 49.000 (48.130)	Prec@5 78.500 (78.618)
Epoch: [52][2600/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.1680 (2.0036)	Prec@1 45.000 (48.126)	Prec@5 73.000 (78.615)
Epoch: [52][2610/9018]	Time 0.599 (0.625)	Data 0.015 (0.003)	Loss 2.0943 (2.0037)	Prec@1 47.500 (48.128)	Prec@5 75.500 (78.611)
Epoch: [52][2620/9018]	Time 0.623 (0.625)	Data 0.010 (0.003)	Loss 1.8718 (2.0036)	Prec@1 52.000 (48.133)	Prec@5 83.000 (78.612)
Epoch: [52][2630/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 2.1140 (2.0036)	Prec@1 47.500 (48.133)	Prec@5 75.500 (78.611)
Epoch: [52][2640/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.9743 (2.0038)	Prec@1 53.500 (48.130)	Prec@5 79.500 (78.609)
Epoch: [52][2650/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.9139 (2.0038)	Prec@1 49.000 (48.130)	Prec@5 81.000 (78.610)
Epoch: [52][2660/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.8608 (2.0035)	Prec@1 47.500 (48.127)	Prec@5 81.500 (78.617)
Epoch: [52][2670/9018]	Time 0.747 (0.625)	Data 0.001 (0.003)	Loss 2.1562 (2.0036)	Prec@1 47.000 (48.121)	Prec@5 74.500 (78.614)
Epoch: [52][2680/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.8867 (2.0037)	Prec@1 52.000 (48.118)	Prec@5 80.000 (78.612)
Epoch: [52][2690/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 1.8964 (2.0037)	Prec@1 51.000 (48.122)	Prec@5 76.500 (78.608)
Epoch: [52][2700/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.1666 (2.0038)	Prec@1 43.500 (48.121)	Prec@5 74.000 (78.605)
Epoch: [52][2710/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.9947 (2.0039)	Prec@1 46.500 (48.122)	Prec@5 80.500 (78.604)
Epoch: [52][2720/9018]	Time 0.740 (0.625)	Data 0.001 (0.003)	Loss 1.9450 (2.0041)	Prec@1 50.000 (48.121)	Prec@5 79.500 (78.602)
Epoch: [52][2730/9018]	Time 0.620 (0.625)	Data 0.016 (0.003)	Loss 2.0020 (2.0041)	Prec@1 45.500 (48.124)	Prec@5 77.000 (78.599)
Epoch: [52][2740/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 2.2121 (2.0044)	Prec@1 44.000 (48.116)	Prec@5 75.000 (78.591)
Epoch: [52][2750/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8876 (2.0043)	Prec@1 52.000 (48.118)	Prec@5 81.000 (78.593)
Epoch: [52][2760/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.0081 (2.0045)	Prec@1 50.000 (48.112)	Prec@5 82.000 (78.590)
Epoch: [52][2770/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.0674 (2.0046)	Prec@1 49.000 (48.112)	Prec@5 74.500 (78.589)
Epoch: [52][2780/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.9571 (2.0044)	Prec@1 50.000 (48.114)	Prec@5 80.000 (78.591)
Epoch: [52][2790/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 2.0695 (2.0045)	Prec@1 46.500 (48.114)	Prec@5 75.500 (78.587)
Epoch: [52][2800/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9735 (2.0045)	Prec@1 49.500 (48.116)	Prec@5 76.000 (78.588)
Epoch: [52][2810/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.9086 (2.0042)	Prec@1 56.000 (48.125)	Prec@5 79.000 (78.591)
Epoch: [52][2820/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.0649 (2.0041)	Prec@1 50.500 (48.127)	Prec@5 77.500 (78.596)
Epoch: [52][2830/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9764 (2.0040)	Prec@1 51.500 (48.128)	Prec@5 79.500 (78.597)
Epoch: [52][2840/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9176 (2.0038)	Prec@1 47.000 (48.126)	Prec@5 80.000 (78.600)
Epoch: [52][2850/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.8155 (2.0040)	Prec@1 55.500 (48.125)	Prec@5 80.000 (78.600)
Epoch: [52][2860/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.8050 (2.0040)	Prec@1 49.500 (48.124)	Prec@5 82.500 (78.599)
Epoch: [52][2870/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.9453 (2.0041)	Prec@1 49.500 (48.122)	Prec@5 79.500 (78.596)
Epoch: [52][2880/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.9733 (2.0044)	Prec@1 51.500 (48.119)	Prec@5 81.000 (78.591)
Epoch: [52][2890/9018]	Time 0.628 (0.625)	Data 0.016 (0.003)	Loss 2.0493 (2.0047)	Prec@1 47.000 (48.114)	Prec@5 81.500 (78.587)
Epoch: [52][2900/9018]	Time 0.610 (0.625)	Data 0.015 (0.003)	Loss 1.9941 (2.0047)	Prec@1 50.500 (48.117)	Prec@5 79.000 (78.588)
Epoch: [52][2910/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.9445 (2.0046)	Prec@1 48.500 (48.118)	Prec@5 82.500 (78.592)
Epoch: [52][2920/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.1175 (2.0046)	Prec@1 46.000 (48.118)	Prec@5 79.000 (78.589)
Epoch: [52][2930/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.2452 (2.0049)	Prec@1 45.500 (48.113)	Prec@5 72.000 (78.583)
Epoch: [52][2940/9018]	Time 0.620 (0.625)	Data 0.004 (0.003)	Loss 2.0978 (2.0049)	Prec@1 45.500 (48.111)	Prec@5 79.000 (78.582)
Epoch: [52][2950/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.7860 (2.0049)	Prec@1 52.000 (48.107)	Prec@5 84.500 (78.585)
Epoch: [52][2960/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.0217 (2.0051)	Prec@1 42.500 (48.102)	Prec@5 80.500 (78.582)
Epoch: [52][2970/9018]	Time 0.633 (0.625)	Data 0.002 (0.003)	Loss 2.0515 (2.0053)	Prec@1 49.000 (48.101)	Prec@5 78.000 (78.578)
Epoch: [52][2980/9018]	Time 0.639 (0.625)	Data 0.016 (0.003)	Loss 2.1410 (2.0055)	Prec@1 45.500 (48.096)	Prec@5 76.000 (78.573)
Epoch: [52][2990/9018]	Time 0.610 (0.625)	Data 0.004 (0.003)	Loss 1.8628 (2.0055)	Prec@1 47.000 (48.094)	Prec@5 80.500 (78.571)
Epoch: [52][3000/9018]	Time 0.733 (0.625)	Data 0.013 (0.003)	Loss 2.1948 (2.0055)	Prec@1 41.500 (48.093)	Prec@5 75.500 (78.571)
Epoch: [52][3010/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.0200 (2.0055)	Prec@1 49.000 (48.089)	Prec@5 82.000 (78.573)
Epoch: [52][3020/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.9747 (2.0054)	Prec@1 47.500 (48.093)	Prec@5 79.000 (78.577)
Epoch: [52][3030/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.9265 (2.0054)	Prec@1 51.000 (48.099)	Prec@5 75.500 (78.577)
Epoch: [52][3040/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 2.0564 (2.0055)	Prec@1 38.500 (48.093)	Prec@5 80.000 (78.575)
Epoch: [52][3050/9018]	Time 0.765 (0.625)	Data 0.001 (0.003)	Loss 2.0297 (2.0057)	Prec@1 48.000 (48.092)	Prec@5 75.000 (78.573)
Epoch: [52][3060/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.9922 (2.0058)	Prec@1 51.500 (48.086)	Prec@5 77.500 (78.573)
Epoch: [52][3070/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.9963 (2.0060)	Prec@1 47.000 (48.081)	Prec@5 80.500 (78.571)
Epoch: [52][3080/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.0829 (2.0058)	Prec@1 47.500 (48.081)	Prec@5 79.500 (78.574)
Epoch: [52][3090/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.9345 (2.0058)	Prec@1 52.000 (48.083)	Prec@5 77.000 (78.574)
Epoch: [52][3100/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.8809 (2.0058)	Prec@1 52.000 (48.083)	Prec@5 81.000 (78.575)
Epoch: [52][3110/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 2.2230 (2.0060)	Prec@1 44.500 (48.075)	Prec@5 78.000 (78.572)
Epoch: [52][3120/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.9494 (2.0061)	Prec@1 50.500 (48.074)	Prec@5 79.000 (78.567)
Epoch: [52][3130/9018]	Time 0.650 (0.625)	Data 0.001 (0.003)	Loss 1.8883 (2.0061)	Prec@1 52.000 (48.078)	Prec@5 80.000 (78.567)
Epoch: [52][3140/9018]	Time 0.603 (0.625)	Data 0.005 (0.003)	Loss 1.9373 (2.0061)	Prec@1 50.500 (48.076)	Prec@5 77.500 (78.568)
Epoch: [52][3150/9018]	Time 0.624 (0.625)	Data 0.010 (0.003)	Loss 1.9897 (2.0060)	Prec@1 51.000 (48.077)	Prec@5 77.000 (78.573)
Epoch: [52][3160/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.9725 (2.0059)	Prec@1 50.500 (48.075)	Prec@5 80.500 (78.573)
Epoch: [52][3170/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0321 (2.0059)	Prec@1 48.000 (48.075)	Prec@5 77.000 (78.570)
Epoch: [52][3180/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0009 (2.0060)	Prec@1 47.500 (48.074)	Prec@5 79.000 (78.569)
Epoch: [52][3190/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.1183 (2.0063)	Prec@1 45.000 (48.071)	Prec@5 78.500 (78.562)
Epoch: [52][3200/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.9193 (2.0066)	Prec@1 51.500 (48.065)	Prec@5 81.000 (78.558)
Epoch: [52][3210/9018]	Time 0.631 (0.625)	Data 0.014 (0.003)	Loss 2.0394 (2.0065)	Prec@1 47.000 (48.065)	Prec@5 80.000 (78.559)
Epoch: [52][3220/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.8729 (2.0065)	Prec@1 52.000 (48.063)	Prec@5 81.500 (78.560)
Epoch: [52][3230/9018]	Time 0.620 (0.625)	Data 0.014 (0.003)	Loss 1.9485 (2.0066)	Prec@1 48.000 (48.061)	Prec@5 80.500 (78.559)
Epoch: [52][3240/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.0613 (2.0067)	Prec@1 49.000 (48.058)	Prec@5 74.500 (78.556)
Epoch: [52][3250/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.8361 (2.0067)	Prec@1 49.000 (48.055)	Prec@5 80.000 (78.555)
Epoch: [52][3260/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.9832 (2.0067)	Prec@1 50.500 (48.058)	Prec@5 82.500 (78.555)
Epoch: [52][3270/9018]	Time 0.606 (0.625)	Data 0.015 (0.003)	Loss 2.3498 (2.0068)	Prec@1 40.500 (48.059)	Prec@5 74.500 (78.554)
Epoch: [52][3280/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.9094 (2.0068)	Prec@1 46.500 (48.059)	Prec@5 82.500 (78.554)
Epoch: [52][3290/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.9209 (2.0066)	Prec@1 51.500 (48.062)	Prec@5 81.000 (78.560)
Epoch: [52][3300/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 2.1656 (2.0066)	Prec@1 42.500 (48.060)	Prec@5 77.000 (78.561)
Epoch: [52][3310/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 2.1961 (2.0066)	Prec@1 50.000 (48.067)	Prec@5 73.500 (78.560)
Epoch: [52][3320/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.1027 (2.0066)	Prec@1 46.500 (48.066)	Prec@5 76.000 (78.559)
Epoch: [52][3330/9018]	Time 0.756 (0.625)	Data 0.015 (0.003)	Loss 1.9642 (2.0067)	Prec@1 48.000 (48.065)	Prec@5 78.000 (78.558)
Epoch: [52][3340/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 2.0622 (2.0067)	Prec@1 52.000 (48.063)	Prec@5 80.500 (78.560)
Epoch: [52][3350/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 2.1092 (2.0067)	Prec@1 44.000 (48.061)	Prec@5 77.000 (78.560)
Epoch: [52][3360/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.0207 (2.0067)	Prec@1 48.000 (48.064)	Prec@5 78.500 (78.560)
Epoch: [52][3370/9018]	Time 0.605 (0.625)	Data 0.003 (0.003)	Loss 1.9051 (2.0065)	Prec@1 51.000 (48.067)	Prec@5 77.500 (78.565)
Epoch: [52][3380/9018]	Time 0.754 (0.625)	Data 0.001 (0.003)	Loss 2.0754 (2.0065)	Prec@1 48.500 (48.069)	Prec@5 73.500 (78.561)
Epoch: [52][3390/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 2.0911 (2.0065)	Prec@1 47.000 (48.067)	Prec@5 78.000 (78.562)
Epoch: [52][3400/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9615 (2.0065)	Prec@1 52.000 (48.069)	Prec@5 78.000 (78.563)
Epoch: [52][3410/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0983 (2.0066)	Prec@1 47.500 (48.065)	Prec@5 75.500 (78.560)
Epoch: [52][3420/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.9939 (2.0066)	Prec@1 42.500 (48.062)	Prec@5 77.500 (78.559)
Epoch: [52][3430/9018]	Time 0.648 (0.625)	Data 0.012 (0.003)	Loss 2.0629 (2.0066)	Prec@1 48.000 (48.065)	Prec@5 75.000 (78.560)
Epoch: [52][3440/9018]	Time 0.613 (0.625)	Data 0.015 (0.003)	Loss 2.0421 (2.0066)	Prec@1 52.500 (48.070)	Prec@5 76.000 (78.557)
Epoch: [52][3450/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.9942 (2.0065)	Prec@1 48.500 (48.073)	Prec@5 80.000 (78.560)
Epoch: [52][3460/9018]	Time 0.618 (0.625)	Data 0.014 (0.003)	Loss 2.0025 (2.0066)	Prec@1 51.500 (48.073)	Prec@5 77.500 (78.557)
Epoch: [52][3470/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.8787 (2.0065)	Prec@1 48.000 (48.074)	Prec@5 79.500 (78.558)
Epoch: [52][3480/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.7996 (2.0064)	Prec@1 55.500 (48.077)	Prec@5 83.000 (78.560)
Epoch: [52][3490/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.9468 (2.0064)	Prec@1 53.500 (48.082)	Prec@5 80.500 (78.560)
Epoch: [52][3500/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.0630 (2.0065)	Prec@1 44.500 (48.080)	Prec@5 76.000 (78.557)
Epoch: [52][3510/9018]	Time 0.655 (0.625)	Data 0.001 (0.003)	Loss 2.1763 (2.0066)	Prec@1 43.500 (48.075)	Prec@5 74.500 (78.555)
Epoch: [52][3520/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.0879 (2.0065)	Prec@1 45.500 (48.074)	Prec@5 72.000 (78.557)
Epoch: [52][3530/9018]	Time 0.616 (0.625)	Data 0.017 (0.003)	Loss 2.0246 (2.0066)	Prec@1 47.000 (48.072)	Prec@5 79.000 (78.558)
Epoch: [52][3540/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 2.3828 (2.0069)	Prec@1 34.000 (48.064)	Prec@5 76.500 (78.554)
Epoch: [52][3550/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.9948 (2.0068)	Prec@1 47.500 (48.065)	Prec@5 77.000 (78.558)
Epoch: [52][3560/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.9235 (2.0068)	Prec@1 50.500 (48.065)	Prec@5 80.000 (78.557)
Epoch: [52][3570/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.1092 (2.0067)	Prec@1 48.000 (48.068)	Prec@5 75.500 (78.557)
Epoch: [52][3580/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.8782 (2.0068)	Prec@1 52.000 (48.066)	Prec@5 78.500 (78.555)
Epoch: [52][3590/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.9675 (2.0069)	Prec@1 50.500 (48.061)	Prec@5 79.500 (78.555)
Epoch: [52][3600/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 2.1327 (2.0071)	Prec@1 48.500 (48.059)	Prec@5 78.500 (78.549)
Epoch: [52][3610/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.8643 (2.0071)	Prec@1 46.500 (48.055)	Prec@5 81.000 (78.549)
Epoch: [52][3620/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 2.2086 (2.0072)	Prec@1 42.000 (48.054)	Prec@5 75.000 (78.546)
Epoch: [52][3630/9018]	Time 0.621 (0.625)	Data 0.009 (0.003)	Loss 1.9535 (2.0071)	Prec@1 50.500 (48.050)	Prec@5 75.500 (78.548)
Epoch: [52][3640/9018]	Time 0.594 (0.625)	Data 0.002 (0.003)	Loss 2.0034 (2.0072)	Prec@1 48.500 (48.050)	Prec@5 81.500 (78.547)
Epoch: [52][3650/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.8315 (2.0072)	Prec@1 50.000 (48.045)	Prec@5 81.500 (78.546)
Epoch: [52][3660/9018]	Time 0.805 (0.625)	Data 0.001 (0.003)	Loss 2.0128 (2.0073)	Prec@1 48.500 (48.043)	Prec@5 78.000 (78.545)
Epoch: [52][3670/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0774 (2.0072)	Prec@1 46.000 (48.042)	Prec@5 78.000 (78.546)
Epoch: [52][3680/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.8929 (2.0073)	Prec@1 53.000 (48.042)	Prec@5 81.000 (78.544)
Epoch: [52][3690/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.0212 (2.0074)	Prec@1 44.000 (48.040)	Prec@5 78.500 (78.542)
Epoch: [52][3700/9018]	Time 0.612 (0.625)	Data 0.005 (0.003)	Loss 2.0184 (2.0074)	Prec@1 46.500 (48.039)	Prec@5 78.000 (78.542)
Epoch: [52][3710/9018]	Time 0.749 (0.625)	Data 0.001 (0.003)	Loss 1.9871 (2.0073)	Prec@1 49.000 (48.042)	Prec@5 78.500 (78.541)
Epoch: [52][3720/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.8140 (2.0073)	Prec@1 52.000 (48.042)	Prec@5 79.500 (78.542)
Epoch: [52][3730/9018]	Time 0.603 (0.625)	Data 0.017 (0.003)	Loss 1.8145 (2.0071)	Prec@1 56.500 (48.046)	Prec@5 83.500 (78.545)
Epoch: [52][3740/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.8664 (2.0069)	Prec@1 50.500 (48.048)	Prec@5 84.000 (78.547)
Epoch: [52][3750/9018]	Time 0.605 (0.625)	Data 0.007 (0.003)	Loss 1.8956 (2.0069)	Prec@1 48.000 (48.047)	Prec@5 81.500 (78.550)
Epoch: [52][3760/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.8717 (2.0069)	Prec@1 47.500 (48.046)	Prec@5 80.500 (78.548)
Epoch: [52][3770/9018]	Time 0.662 (0.625)	Data 0.001 (0.003)	Loss 2.0267 (2.0071)	Prec@1 45.000 (48.046)	Prec@5 77.500 (78.547)
Epoch: [52][3780/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.9589 (2.0071)	Prec@1 49.500 (48.045)	Prec@5 78.500 (78.545)
Epoch: [52][3790/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.1967 (2.0073)	Prec@1 47.500 (48.043)	Prec@5 73.000 (78.540)
Epoch: [52][3800/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 1.9145 (2.0072)	Prec@1 51.500 (48.048)	Prec@5 81.500 (78.544)
Epoch: [52][3810/9018]	Time 0.634 (0.625)	Data 0.014 (0.003)	Loss 2.2917 (2.0072)	Prec@1 45.500 (48.049)	Prec@5 74.500 (78.544)
Epoch: [52][3820/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 2.1512 (2.0075)	Prec@1 45.500 (48.043)	Prec@5 74.500 (78.539)
Epoch: [52][3830/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.0534 (2.0074)	Prec@1 44.500 (48.041)	Prec@5 79.500 (78.539)
Epoch: [52][3840/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.1422 (2.0075)	Prec@1 45.000 (48.042)	Prec@5 76.000 (78.540)
Epoch: [52][3850/9018]	Time 0.652 (0.625)	Data 0.001 (0.003)	Loss 2.1115 (2.0076)	Prec@1 47.500 (48.039)	Prec@5 77.000 (78.537)
Epoch: [52][3860/9018]	Time 0.642 (0.625)	Data 0.001 (0.003)	Loss 1.9099 (2.0076)	Prec@1 45.000 (48.037)	Prec@5 80.000 (78.535)
Epoch: [52][3870/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.1184 (2.0075)	Prec@1 45.500 (48.038)	Prec@5 76.500 (78.535)
Epoch: [52][3880/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0824 (2.0076)	Prec@1 46.500 (48.038)	Prec@5 78.000 (78.535)
Epoch: [52][3890/9018]	Time 0.661 (0.625)	Data 0.001 (0.003)	Loss 2.1231 (2.0075)	Prec@1 47.000 (48.043)	Prec@5 76.000 (78.536)
Epoch: [52][3900/9018]	Time 0.664 (0.625)	Data 0.001 (0.003)	Loss 2.1724 (2.0075)	Prec@1 45.500 (48.041)	Prec@5 74.500 (78.534)
Epoch: [52][3910/9018]	Time 0.642 (0.625)	Data 0.001 (0.003)	Loss 1.9199 (2.0076)	Prec@1 52.500 (48.040)	Prec@5 80.000 (78.534)
Epoch: [52][3920/9018]	Time 0.611 (0.625)	Data 0.014 (0.003)	Loss 1.9494 (2.0079)	Prec@1 50.500 (48.032)	Prec@5 78.500 (78.528)
Epoch: [52][3930/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.9303 (2.0079)	Prec@1 47.500 (48.032)	Prec@5 80.500 (78.526)
Epoch: [52][3940/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.0637 (2.0080)	Prec@1 47.500 (48.034)	Prec@5 79.500 (78.526)
Epoch: [52][3950/9018]	Time 0.629 (0.625)	Data 0.013 (0.003)	Loss 1.9207 (2.0081)	Prec@1 50.000 (48.033)	Prec@5 81.500 (78.527)
Epoch: [52][3960/9018]	Time 0.606 (0.625)	Data 0.014 (0.003)	Loss 1.7197 (2.0080)	Prec@1 51.500 (48.034)	Prec@5 84.500 (78.530)
Epoch: [52][3970/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.8233 (2.0078)	Prec@1 48.000 (48.036)	Prec@5 82.000 (78.532)
Epoch: [52][3980/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 2.1503 (2.0076)	Prec@1 40.500 (48.038)	Prec@5 76.500 (78.535)
Epoch: [52][3990/9018]	Time 0.766 (0.625)	Data 0.017 (0.003)	Loss 2.0170 (2.0076)	Prec@1 46.500 (48.040)	Prec@5 77.500 (78.534)
Epoch: [52][4000/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 2.1226 (2.0075)	Prec@1 49.500 (48.040)	Prec@5 77.500 (78.535)
Epoch: [52][4010/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.0634 (2.0077)	Prec@1 45.000 (48.037)	Prec@5 78.000 (78.531)
Epoch: [52][4020/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 2.0605 (2.0077)	Prec@1 47.500 (48.038)	Prec@5 77.000 (78.529)
Epoch: [52][4030/9018]	Time 0.632 (0.625)	Data 0.017 (0.003)	Loss 2.1319 (2.0077)	Prec@1 52.000 (48.042)	Prec@5 76.500 (78.529)
Epoch: [52][4040/9018]	Time 0.757 (0.625)	Data 0.001 (0.003)	Loss 1.8919 (2.0077)	Prec@1 54.500 (48.042)	Prec@5 79.500 (78.527)
Epoch: [52][4050/9018]	Time 0.607 (0.625)	Data 0.016 (0.003)	Loss 2.0792 (2.0077)	Prec@1 48.500 (48.042)	Prec@5 75.500 (78.526)
Epoch: [52][4060/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.0592 (2.0076)	Prec@1 42.000 (48.042)	Prec@5 82.000 (78.528)
Epoch: [52][4070/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 2.1299 (2.0076)	Prec@1 45.000 (48.040)	Prec@5 78.500 (78.531)
Epoch: [52][4080/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.0385 (2.0075)	Prec@1 51.500 (48.043)	Prec@5 78.000 (78.532)
Epoch: [52][4090/9018]	Time 0.592 (0.625)	Data 0.015 (0.003)	Loss 1.8120 (2.0077)	Prec@1 52.500 (48.039)	Prec@5 81.500 (78.530)
Epoch: [52][4100/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0655 (2.0077)	Prec@1 46.000 (48.040)	Prec@5 76.000 (78.530)
Epoch: [52][4110/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 2.1732 (2.0078)	Prec@1 44.500 (48.040)	Prec@5 79.000 (78.527)
Epoch: [52][4120/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 2.3127 (2.0077)	Prec@1 40.500 (48.042)	Prec@5 74.500 (78.527)
Epoch: [52][4130/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.3188 (2.0078)	Prec@1 43.500 (48.043)	Prec@5 73.000 (78.527)
Epoch: [52][4140/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 2.0554 (2.0078)	Prec@1 44.000 (48.044)	Prec@5 78.500 (78.526)
Epoch: [52][4150/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 2.0261 (2.0080)	Prec@1 47.500 (48.043)	Prec@5 78.500 (78.525)
Epoch: [52][4160/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.0897 (2.0082)	Prec@1 48.000 (48.040)	Prec@5 79.500 (78.522)
Epoch: [52][4170/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 2.2196 (2.0081)	Prec@1 43.500 (48.043)	Prec@5 72.500 (78.520)
Epoch: [52][4180/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.9629 (2.0082)	Prec@1 47.000 (48.039)	Prec@5 77.000 (78.517)
Epoch: [52][4190/9018]	Time 0.662 (0.625)	Data 0.001 (0.003)	Loss 2.1239 (2.0082)	Prec@1 47.500 (48.036)	Prec@5 75.000 (78.516)
Epoch: [52][4200/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.0634 (2.0083)	Prec@1 49.000 (48.037)	Prec@5 77.500 (78.515)
Epoch: [52][4210/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.8951 (2.0082)	Prec@1 48.500 (48.039)	Prec@5 82.000 (78.516)
Epoch: [52][4220/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.9414 (2.0082)	Prec@1 50.500 (48.040)	Prec@5 80.000 (78.516)
Epoch: [52][4230/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 2.0029 (2.0081)	Prec@1 45.000 (48.041)	Prec@5 80.500 (78.518)
Epoch: [52][4240/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.7141 (2.0083)	Prec@1 53.500 (48.039)	Prec@5 83.500 (78.514)
Epoch: [52][4250/9018]	Time 0.609 (0.625)	Data 0.014 (0.003)	Loss 1.8894 (2.0083)	Prec@1 48.000 (48.040)	Prec@5 79.000 (78.514)
Epoch: [52][4260/9018]	Time 0.602 (0.625)	Data 0.015 (0.003)	Loss 1.9726 (2.0082)	Prec@1 46.500 (48.040)	Prec@5 78.000 (78.516)
Epoch: [52][4270/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.9275 (2.0082)	Prec@1 46.500 (48.043)	Prec@5 80.000 (78.514)
Epoch: [52][4280/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.0621 (2.0082)	Prec@1 52.500 (48.043)	Prec@5 78.000 (78.512)
Epoch: [52][4290/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.2642 (2.0084)	Prec@1 40.500 (48.040)	Prec@5 72.000 (78.506)
Epoch: [52][4300/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.1161 (2.0084)	Prec@1 43.500 (48.039)	Prec@5 80.000 (78.506)
Epoch: [52][4310/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.1523 (2.0086)	Prec@1 42.500 (48.036)	Prec@5 76.500 (78.506)
Epoch: [52][4320/9018]	Time 0.763 (0.625)	Data 0.001 (0.003)	Loss 1.9359 (2.0086)	Prec@1 47.000 (48.035)	Prec@5 79.500 (78.506)
Epoch: [52][4330/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 2.1498 (2.0087)	Prec@1 43.500 (48.033)	Prec@5 74.000 (78.504)
Epoch: [52][4340/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.8524 (2.0088)	Prec@1 55.500 (48.033)	Prec@5 82.500 (78.501)
Epoch: [52][4350/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 2.2324 (2.0090)	Prec@1 42.000 (48.027)	Prec@5 77.000 (78.499)
Epoch: [52][4360/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.9713 (2.0091)	Prec@1 52.000 (48.024)	Prec@5 77.500 (78.499)
Epoch: [52][4370/9018]	Time 0.723 (0.625)	Data 0.001 (0.003)	Loss 2.0798 (2.0092)	Prec@1 44.500 (48.024)	Prec@5 78.000 (78.498)
Epoch: [52][4380/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.9389 (2.0091)	Prec@1 45.500 (48.025)	Prec@5 81.000 (78.498)
Epoch: [52][4390/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 2.2015 (2.0092)	Prec@1 45.000 (48.021)	Prec@5 73.500 (78.499)
Epoch: [52][4400/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 2.0302 (2.0094)	Prec@1 50.500 (48.021)	Prec@5 80.500 (78.496)
Epoch: [52][4410/9018]	Time 0.652 (0.625)	Data 0.001 (0.003)	Loss 2.0905 (2.0096)	Prec@1 44.500 (48.014)	Prec@5 76.000 (78.492)
Epoch: [52][4420/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.8135 (2.0095)	Prec@1 50.500 (48.016)	Prec@5 81.500 (78.492)
Epoch: [52][4430/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8909 (2.0095)	Prec@1 50.500 (48.017)	Prec@5 81.500 (78.493)
Epoch: [52][4440/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.0219 (2.0096)	Prec@1 50.000 (48.017)	Prec@5 80.500 (78.490)
Epoch: [52][4450/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.8744 (2.0095)	Prec@1 54.500 (48.020)	Prec@5 80.000 (78.494)
Epoch: [52][4460/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.9227 (2.0094)	Prec@1 53.500 (48.021)	Prec@5 80.500 (78.494)
Epoch: [52][4470/9018]	Time 0.679 (0.625)	Data 0.001 (0.003)	Loss 1.8262 (2.0093)	Prec@1 51.500 (48.023)	Prec@5 83.500 (78.495)
Epoch: [52][4480/9018]	Time 0.654 (0.625)	Data 0.016 (0.003)	Loss 1.8745 (2.0094)	Prec@1 50.500 (48.023)	Prec@5 84.000 (78.495)
Epoch: [52][4490/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.9185 (2.0094)	Prec@1 52.000 (48.024)	Prec@5 75.000 (78.495)
Epoch: [52][4500/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9391 (2.0094)	Prec@1 47.500 (48.022)	Prec@5 78.000 (78.492)
Epoch: [52][4510/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 2.0987 (2.0094)	Prec@1 46.500 (48.021)	Prec@5 74.500 (78.492)
Epoch: [52][4520/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.0897 (2.0095)	Prec@1 47.500 (48.022)	Prec@5 77.000 (78.492)
Epoch: [52][4530/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.0169 (2.0095)	Prec@1 49.000 (48.024)	Prec@5 77.000 (78.490)
Epoch: [52][4540/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.2073 (2.0095)	Prec@1 42.000 (48.026)	Prec@5 75.500 (78.489)
Epoch: [52][4550/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.1131 (2.0096)	Prec@1 44.500 (48.027)	Prec@5 78.500 (78.487)
Epoch: [52][4560/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.0287 (2.0097)	Prec@1 44.000 (48.021)	Prec@5 77.500 (78.487)
Epoch: [52][4570/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.0497 (2.0098)	Prec@1 48.000 (48.021)	Prec@5 78.000 (78.486)
Epoch: [52][4580/9018]	Time 0.647 (0.625)	Data 0.001 (0.003)	Loss 1.9520 (2.0097)	Prec@1 47.500 (48.023)	Prec@5 80.500 (78.487)
Epoch: [52][4590/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 2.0232 (2.0098)	Prec@1 45.500 (48.019)	Prec@5 79.500 (78.485)
Epoch: [52][4600/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 2.1277 (2.0097)	Prec@1 46.500 (48.019)	Prec@5 77.500 (78.485)
Epoch: [52][4610/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0308 (2.0098)	Prec@1 52.000 (48.019)	Prec@5 75.500 (78.484)
Epoch: [52][4620/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0102 (2.0099)	Prec@1 48.000 (48.019)	Prec@5 75.500 (78.480)
Epoch: [52][4630/9018]	Time 0.612 (0.625)	Data 0.016 (0.003)	Loss 2.0240 (2.0099)	Prec@1 45.500 (48.018)	Prec@5 80.500 (78.479)
Epoch: [52][4640/9018]	Time 0.614 (0.625)	Data 0.014 (0.003)	Loss 1.8165 (2.0099)	Prec@1 51.000 (48.018)	Prec@5 80.500 (78.480)
Epoch: [52][4650/9018]	Time 0.726 (0.625)	Data 0.001 (0.003)	Loss 1.8396 (2.0100)	Prec@1 52.000 (48.017)	Prec@5 77.000 (78.479)
Epoch: [52][4660/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0156 (2.0102)	Prec@1 50.000 (48.013)	Prec@5 81.500 (78.475)
Epoch: [52][4670/9018]	Time 0.649 (0.625)	Data 0.001 (0.003)	Loss 1.8622 (2.0101)	Prec@1 48.500 (48.013)	Prec@5 81.000 (78.477)
Epoch: [52][4680/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.1691 (2.0102)	Prec@1 42.500 (48.012)	Prec@5 77.000 (78.475)
Epoch: [52][4690/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.9380 (2.0103)	Prec@1 47.500 (48.011)	Prec@5 78.000 (78.476)
Epoch: [52][4700/9018]	Time 0.792 (0.625)	Data 0.001 (0.003)	Loss 2.0273 (2.0104)	Prec@1 50.000 (48.009)	Prec@5 77.000 (78.475)
Epoch: [52][4710/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.2143 (2.0103)	Prec@1 44.000 (48.013)	Prec@5 73.500 (78.474)
Epoch: [52][4720/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.2087 (2.0105)	Prec@1 41.000 (48.006)	Prec@5 75.000 (78.472)
Epoch: [52][4730/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.9145 (2.0107)	Prec@1 50.500 (48.000)	Prec@5 79.500 (78.470)
Epoch: [52][4740/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 2.1146 (2.0108)	Prec@1 45.500 (47.997)	Prec@5 78.500 (78.469)
Epoch: [52][4750/9018]	Time 0.633 (0.625)	Data 0.007 (0.003)	Loss 2.0873 (2.0108)	Prec@1 49.500 (47.997)	Prec@5 77.000 (78.468)
Epoch: [52][4760/9018]	Time 0.623 (0.625)	Data 0.002 (0.003)	Loss 2.0106 (2.0109)	Prec@1 47.500 (47.996)	Prec@5 79.500 (78.468)
Epoch: [52][4770/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.9950 (2.0107)	Prec@1 50.000 (47.997)	Prec@5 78.000 (78.472)
Epoch: [52][4780/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.1937 (2.0109)	Prec@1 44.500 (47.995)	Prec@5 74.000 (78.469)
Epoch: [52][4790/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9034 (2.0109)	Prec@1 52.500 (47.996)	Prec@5 79.500 (78.468)
Epoch: [52][4800/9018]	Time 0.619 (0.625)	Data 0.015 (0.003)	Loss 1.9988 (2.0109)	Prec@1 46.500 (47.995)	Prec@5 78.000 (78.467)
Epoch: [52][4810/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.9716 (2.0109)	Prec@1 48.000 (47.995)	Prec@5 80.000 (78.466)
Epoch: [52][4820/9018]	Time 0.650 (0.625)	Data 0.001 (0.003)	Loss 1.9890 (2.0108)	Prec@1 50.000 (47.994)	Prec@5 76.000 (78.466)
Epoch: [52][4830/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.9017 (2.0109)	Prec@1 48.500 (47.995)	Prec@5 81.000 (78.465)
Epoch: [52][4840/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.4142 (2.0110)	Prec@1 37.000 (47.994)	Prec@5 69.000 (78.464)
Epoch: [52][4850/9018]	Time 0.655 (0.625)	Data 0.001 (0.003)	Loss 2.0081 (2.0111)	Prec@1 51.000 (47.988)	Prec@5 76.500 (78.461)
Epoch: [52][4860/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.9185 (2.0113)	Prec@1 47.000 (47.987)	Prec@5 77.500 (78.458)
Epoch: [52][4870/9018]	Time 0.650 (0.625)	Data 0.001 (0.003)	Loss 2.1211 (2.0114)	Prec@1 47.500 (47.988)	Prec@5 75.000 (78.456)
Epoch: [52][4880/9018]	Time 0.649 (0.625)	Data 0.001 (0.003)	Loss 2.1792 (2.0116)	Prec@1 44.500 (47.983)	Prec@5 75.500 (78.451)
Epoch: [52][4890/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.8453 (2.0115)	Prec@1 52.500 (47.987)	Prec@5 80.500 (78.450)
Epoch: [52][4900/9018]	Time 0.649 (0.625)	Data 0.014 (0.003)	Loss 2.1488 (2.0115)	Prec@1 44.000 (47.986)	Prec@5 75.000 (78.448)
Epoch: [52][4910/9018]	Time 0.604 (0.625)	Data 0.014 (0.003)	Loss 2.2326 (2.0116)	Prec@1 47.500 (47.984)	Prec@5 75.000 (78.448)
Epoch: [52][4920/9018]	Time 0.646 (0.625)	Data 0.002 (0.003)	Loss 2.0342 (2.0115)	Prec@1 47.000 (47.986)	Prec@5 75.000 (78.447)
Epoch: [52][4930/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.8880 (2.0116)	Prec@1 50.000 (47.984)	Prec@5 77.000 (78.444)
Epoch: [52][4940/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 2.0210 (2.0117)	Prec@1 48.000 (47.984)	Prec@5 80.000 (78.444)
Epoch: [52][4950/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.9802 (2.0117)	Prec@1 47.000 (47.984)	Prec@5 82.000 (78.445)
Epoch: [52][4960/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.8763 (2.0117)	Prec@1 48.500 (47.983)	Prec@5 83.000 (78.445)
Epoch: [52][4970/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0678 (2.0118)	Prec@1 45.000 (47.981)	Prec@5 78.000 (78.444)
Epoch: [52][4980/9018]	Time 0.757 (0.625)	Data 0.001 (0.003)	Loss 2.1032 (2.0119)	Prec@1 42.000 (47.977)	Prec@5 78.000 (78.441)
Epoch: [52][4990/9018]	Time 0.651 (0.625)	Data 0.001 (0.003)	Loss 2.0413 (2.0119)	Prec@1 48.000 (47.978)	Prec@5 76.500 (78.440)
Epoch: [52][5000/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.9077 (2.0119)	Prec@1 52.000 (47.975)	Prec@5 81.500 (78.441)
Epoch: [52][5010/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.9488 (2.0118)	Prec@1 49.500 (47.978)	Prec@5 78.000 (78.443)
Epoch: [52][5020/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.0103 (2.0118)	Prec@1 50.000 (47.981)	Prec@5 76.500 (78.444)
Epoch: [52][5030/9018]	Time 0.736 (0.625)	Data 0.001 (0.003)	Loss 2.0519 (2.0117)	Prec@1 47.500 (47.981)	Prec@5 78.000 (78.446)
Epoch: [52][5040/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.9891 (2.0117)	Prec@1 48.500 (47.985)	Prec@5 78.500 (78.446)
Epoch: [52][5050/9018]	Time 0.633 (0.625)	Data 0.014 (0.003)	Loss 2.0745 (2.0117)	Prec@1 43.500 (47.984)	Prec@5 75.000 (78.444)
Epoch: [52][5060/9018]	Time 0.615 (0.625)	Data 0.005 (0.003)	Loss 1.9671 (2.0117)	Prec@1 45.500 (47.984)	Prec@5 80.500 (78.444)
Epoch: [52][5070/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.0238 (2.0117)	Prec@1 50.000 (47.981)	Prec@5 77.500 (78.444)
Epoch: [52][5080/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 2.1216 (2.0118)	Prec@1 48.000 (47.981)	Prec@5 76.000 (78.441)
Epoch: [52][5090/9018]	Time 0.642 (0.625)	Data 0.001 (0.003)	Loss 2.3070 (2.0118)	Prec@1 41.500 (47.977)	Prec@5 73.500 (78.444)
Epoch: [52][5100/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 2.1982 (2.0121)	Prec@1 38.500 (47.973)	Prec@5 77.500 (78.442)
Epoch: [52][5110/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.1597 (2.0121)	Prec@1 44.500 (47.972)	Prec@5 74.000 (78.441)
Epoch: [52][5120/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.9042 (2.0121)	Prec@1 51.000 (47.970)	Prec@5 82.500 (78.441)
Epoch: [52][5130/9018]	Time 0.648 (0.625)	Data 0.014 (0.003)	Loss 1.8863 (2.0121)	Prec@1 46.500 (47.971)	Prec@5 79.500 (78.441)
Epoch: [52][5140/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.9048 (2.0121)	Prec@1 50.500 (47.971)	Prec@5 78.000 (78.440)
Epoch: [52][5150/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.2258 (2.0123)	Prec@1 46.000 (47.967)	Prec@5 73.500 (78.437)
Epoch: [52][5160/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 2.0253 (2.0124)	Prec@1 51.500 (47.964)	Prec@5 77.500 (78.435)
Epoch: [52][5170/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.7933 (2.0124)	Prec@1 54.000 (47.963)	Prec@5 83.500 (78.435)
Epoch: [52][5180/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 1.9550 (2.0124)	Prec@1 48.000 (47.961)	Prec@5 80.000 (78.436)
Epoch: [52][5190/9018]	Time 0.616 (0.625)	Data 0.026 (0.003)	Loss 2.1618 (2.0124)	Prec@1 46.000 (47.961)	Prec@5 73.500 (78.437)
Epoch: [52][5200/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.1265 (2.0124)	Prec@1 42.500 (47.957)	Prec@5 80.000 (78.437)
Epoch: [52][5210/9018]	Time 0.624 (0.625)	Data 0.016 (0.003)	Loss 1.8903 (2.0124)	Prec@1 49.000 (47.960)	Prec@5 81.500 (78.438)
Epoch: [52][5220/9018]	Time 0.623 (0.625)	Data 0.017 (0.003)	Loss 1.9666 (2.0123)	Prec@1 45.500 (47.960)	Prec@5 78.500 (78.439)
Epoch: [52][5230/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9387 (2.0122)	Prec@1 52.000 (47.963)	Prec@5 80.000 (78.440)
Epoch: [52][5240/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.9278 (2.0123)	Prec@1 48.500 (47.961)	Prec@5 80.000 (78.439)
Epoch: [52][5250/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.3205 (2.0124)	Prec@1 33.500 (47.958)	Prec@5 75.000 (78.439)
Epoch: [52][5260/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9109 (2.0125)	Prec@1 47.500 (47.953)	Prec@5 81.500 (78.436)
Epoch: [52][5270/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.9422 (2.0125)	Prec@1 50.500 (47.951)	Prec@5 79.500 (78.437)
Epoch: [52][5280/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.9292 (2.0124)	Prec@1 48.500 (47.953)	Prec@5 80.500 (78.438)
Epoch: [52][5290/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.9861 (2.0124)	Prec@1 46.500 (47.956)	Prec@5 79.500 (78.439)
Epoch: [52][5300/9018]	Time 0.632 (0.625)	Data 0.014 (0.003)	Loss 1.8914 (2.0123)	Prec@1 53.000 (47.957)	Prec@5 81.500 (78.439)
Epoch: [52][5310/9018]	Time 0.746 (0.625)	Data 0.001 (0.003)	Loss 1.9452 (2.0123)	Prec@1 46.000 (47.957)	Prec@5 81.000 (78.439)
Epoch: [52][5320/9018]	Time 0.586 (0.625)	Data 0.001 (0.003)	Loss 2.1297 (2.0124)	Prec@1 42.000 (47.952)	Prec@5 73.500 (78.439)
Epoch: [52][5330/9018]	Time 0.652 (0.625)	Data 0.001 (0.003)	Loss 1.7870 (2.0123)	Prec@1 49.000 (47.953)	Prec@5 81.500 (78.440)
Epoch: [52][5340/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9233 (2.0124)	Prec@1 52.000 (47.951)	Prec@5 77.500 (78.437)
Epoch: [52][5350/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.3033 (2.0126)	Prec@1 42.000 (47.949)	Prec@5 72.500 (78.433)
Epoch: [52][5360/9018]	Time 0.747 (0.625)	Data 0.001 (0.003)	Loss 1.8223 (2.0126)	Prec@1 50.000 (47.945)	Prec@5 82.500 (78.433)
Epoch: [52][5370/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.9367 (2.0127)	Prec@1 48.000 (47.944)	Prec@5 80.000 (78.432)
Epoch: [52][5380/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.9974 (2.0127)	Prec@1 45.500 (47.946)	Prec@5 79.000 (78.432)
Epoch: [52][5390/9018]	Time 0.610 (0.625)	Data 0.016 (0.003)	Loss 2.2784 (2.0127)	Prec@1 41.000 (47.946)	Prec@5 77.000 (78.431)
Epoch: [52][5400/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.1344 (2.0127)	Prec@1 45.500 (47.945)	Prec@5 76.000 (78.429)
Epoch: [52][5410/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.9382 (2.0128)	Prec@1 55.500 (47.946)	Prec@5 80.000 (78.430)
Epoch: [52][5420/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.1543 (2.0128)	Prec@1 53.000 (47.948)	Prec@5 78.500 (78.430)
Epoch: [52][5430/9018]	Time 0.618 (0.625)	Data 0.017 (0.003)	Loss 1.9560 (2.0128)	Prec@1 50.500 (47.947)	Prec@5 80.500 (78.429)
Epoch: [52][5440/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.7641 (2.0129)	Prec@1 51.500 (47.946)	Prec@5 82.000 (78.427)
Epoch: [52][5450/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.1617 (2.0129)	Prec@1 45.000 (47.944)	Prec@5 74.500 (78.426)
Epoch: [52][5460/9018]	Time 0.675 (0.625)	Data 0.001 (0.003)	Loss 2.1725 (2.0131)	Prec@1 44.500 (47.939)	Prec@5 74.000 (78.422)
Epoch: [52][5470/9018]	Time 0.647 (0.625)	Data 0.001 (0.003)	Loss 2.0563 (2.0130)	Prec@1 49.500 (47.938)	Prec@5 76.000 (78.425)
Epoch: [52][5480/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.8546 (2.0130)	Prec@1 51.500 (47.939)	Prec@5 79.500 (78.427)
Epoch: [52][5490/9018]	Time 0.584 (0.625)	Data 0.001 (0.003)	Loss 1.9333 (2.0129)	Prec@1 46.500 (47.942)	Prec@5 82.500 (78.430)
Epoch: [52][5500/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.0170 (2.0130)	Prec@1 47.000 (47.941)	Prec@5 82.000 (78.428)
Epoch: [52][5510/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.1729 (2.0129)	Prec@1 46.500 (47.944)	Prec@5 74.000 (78.429)
Epoch: [52][5520/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.1261 (2.0129)	Prec@1 42.500 (47.943)	Prec@5 78.500 (78.427)
Epoch: [52][5530/9018]	Time 0.615 (0.625)	Data 0.015 (0.003)	Loss 2.0745 (2.0130)	Prec@1 49.000 (47.941)	Prec@5 76.500 (78.424)
Epoch: [52][5540/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.9311 (2.0130)	Prec@1 51.000 (47.939)	Prec@5 81.000 (78.425)
Epoch: [52][5550/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.0073 (2.0130)	Prec@1 49.000 (47.939)	Prec@5 76.000 (78.424)
Epoch: [52][5560/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.0142 (2.0131)	Prec@1 47.000 (47.939)	Prec@5 79.000 (78.422)
Epoch: [52][5570/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.0581 (2.0131)	Prec@1 43.500 (47.937)	Prec@5 79.000 (78.422)
Epoch: [52][5580/9018]	Time 0.642 (0.625)	Data 0.001 (0.003)	Loss 1.7935 (2.0131)	Prec@1 55.000 (47.937)	Prec@5 81.500 (78.421)
Epoch: [52][5590/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.3334 (2.0133)	Prec@1 42.500 (47.933)	Prec@5 72.000 (78.419)
Epoch: [52][5600/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.0256 (2.0132)	Prec@1 49.500 (47.933)	Prec@5 78.500 (78.420)
Epoch: [52][5610/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 1.7863 (2.0132)	Prec@1 56.000 (47.931)	Prec@5 81.500 (78.419)
Epoch: [52][5620/9018]	Time 0.629 (0.625)	Data 0.004 (0.003)	Loss 1.9821 (2.0132)	Prec@1 45.000 (47.930)	Prec@5 83.000 (78.420)
Epoch: [52][5630/9018]	Time 0.643 (0.625)	Data 0.001 (0.003)	Loss 1.8862 (2.0132)	Prec@1 47.500 (47.929)	Prec@5 82.000 (78.420)
Epoch: [52][5640/9018]	Time 0.759 (0.625)	Data 0.001 (0.003)	Loss 1.9665 (2.0133)	Prec@1 46.500 (47.928)	Prec@5 80.500 (78.419)
Epoch: [52][5650/9018]	Time 0.619 (0.625)	Data 0.011 (0.003)	Loss 2.0581 (2.0132)	Prec@1 44.500 (47.929)	Prec@5 74.500 (78.419)
Epoch: [52][5660/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.8765 (2.0133)	Prec@1 50.500 (47.927)	Prec@5 80.500 (78.416)
Epoch: [52][5670/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.9533 (2.0134)	Prec@1 52.500 (47.925)	Prec@5 79.000 (78.412)
Epoch: [52][5680/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 2.0486 (2.0134)	Prec@1 44.500 (47.926)	Prec@5 73.500 (78.412)
Epoch: [52][5690/9018]	Time 0.728 (0.625)	Data 0.014 (0.003)	Loss 2.1772 (2.0134)	Prec@1 45.500 (47.926)	Prec@5 77.000 (78.412)
Epoch: [52][5700/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.1594 (2.0135)	Prec@1 50.000 (47.927)	Prec@5 75.000 (78.412)
Epoch: [52][5710/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.1460 (2.0134)	Prec@1 47.500 (47.928)	Prec@5 74.500 (78.410)
Epoch: [52][5720/9018]	Time 0.622 (0.625)	Data 0.013 (0.003)	Loss 1.7361 (2.0133)	Prec@1 53.500 (47.931)	Prec@5 83.500 (78.415)
Epoch: [52][5730/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.6627 (2.0133)	Prec@1 56.500 (47.931)	Prec@5 84.000 (78.414)
Epoch: [52][5740/9018]	Time 0.660 (0.625)	Data 0.001 (0.003)	Loss 2.0855 (2.0133)	Prec@1 47.500 (47.934)	Prec@5 74.500 (78.414)
Epoch: [52][5750/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.0271 (2.0133)	Prec@1 48.500 (47.933)	Prec@5 75.000 (78.415)
Epoch: [52][5760/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.2007 (2.0134)	Prec@1 44.000 (47.929)	Prec@5 74.500 (78.413)
Epoch: [52][5770/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.1120 (2.0135)	Prec@1 46.500 (47.928)	Prec@5 78.000 (78.411)
Epoch: [52][5780/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.7626 (2.0136)	Prec@1 53.500 (47.926)	Prec@5 81.000 (78.408)
Epoch: [52][5790/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0663 (2.0136)	Prec@1 45.500 (47.924)	Prec@5 79.500 (78.408)
Epoch: [52][5800/9018]	Time 0.643 (0.625)	Data 0.001 (0.003)	Loss 2.0706 (2.0135)	Prec@1 48.000 (47.923)	Prec@5 74.000 (78.408)
Epoch: [52][5810/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.2539 (2.0136)	Prec@1 39.500 (47.920)	Prec@5 74.000 (78.408)
Epoch: [52][5820/9018]	Time 0.618 (0.625)	Data 0.009 (0.003)	Loss 2.0310 (2.0135)	Prec@1 49.500 (47.921)	Prec@5 76.000 (78.407)
Epoch: [52][5830/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.9801 (2.0136)	Prec@1 48.500 (47.919)	Prec@5 80.500 (78.409)
Epoch: [52][5840/9018]	Time 0.630 (0.625)	Data 0.016 (0.003)	Loss 1.9133 (2.0136)	Prec@1 49.000 (47.920)	Prec@5 81.500 (78.409)
Epoch: [52][5850/9018]	Time 0.641 (0.625)	Data 0.012 (0.003)	Loss 2.1442 (2.0136)	Prec@1 43.500 (47.917)	Prec@5 72.500 (78.408)
Epoch: [52][5860/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 2.0362 (2.0135)	Prec@1 48.000 (47.920)	Prec@5 79.000 (78.410)
Epoch: [52][5870/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.6999 (2.0135)	Prec@1 54.500 (47.921)	Prec@5 83.000 (78.410)
Epoch: [52][5880/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.7646 (2.0135)	Prec@1 54.500 (47.923)	Prec@5 82.000 (78.410)
Epoch: [52][5890/9018]	Time 0.618 (0.625)	Data 0.013 (0.003)	Loss 2.1630 (2.0135)	Prec@1 50.000 (47.924)	Prec@5 75.500 (78.410)
Epoch: [52][5900/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.0775 (2.0136)	Prec@1 46.000 (47.925)	Prec@5 78.000 (78.410)
Epoch: [52][5910/9018]	Time 0.631 (0.625)	Data 0.017 (0.003)	Loss 1.9813 (2.0137)	Prec@1 47.500 (47.923)	Prec@5 80.500 (78.409)
Epoch: [52][5920/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.8221 (2.0137)	Prec@1 54.000 (47.926)	Prec@5 79.000 (78.407)
Epoch: [52][5930/9018]	Time 0.642 (0.625)	Data 0.001 (0.003)	Loss 1.8579 (2.0137)	Prec@1 51.000 (47.928)	Prec@5 83.000 (78.407)
Epoch: [52][5940/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.0569 (2.0136)	Prec@1 45.000 (47.930)	Prec@5 79.000 (78.410)
Epoch: [52][5950/9018]	Time 0.621 (0.625)	Data 0.015 (0.003)	Loss 2.1117 (2.0135)	Prec@1 44.000 (47.931)	Prec@5 76.000 (78.410)
Epoch: [52][5960/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.7180 (2.0134)	Prec@1 54.500 (47.934)	Prec@5 81.500 (78.412)
Epoch: [52][5970/9018]	Time 0.783 (0.625)	Data 0.001 (0.003)	Loss 2.0663 (2.0134)	Prec@1 47.000 (47.935)	Prec@5 76.000 (78.412)
Epoch: [52][5980/9018]	Time 0.628 (0.625)	Data 0.010 (0.003)	Loss 2.1324 (2.0133)	Prec@1 44.000 (47.935)	Prec@5 74.000 (78.414)
Epoch: [52][5990/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9257 (2.0133)	Prec@1 49.500 (47.933)	Prec@5 80.500 (78.414)
Epoch: [52][6000/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.7471 (2.0133)	Prec@1 55.500 (47.932)	Prec@5 83.500 (78.416)
Epoch: [52][6010/9018]	Time 0.629 (0.625)	Data 0.015 (0.003)	Loss 1.7412 (2.0132)	Prec@1 51.500 (47.933)	Prec@5 81.000 (78.418)
Epoch: [52][6020/9018]	Time 0.770 (0.625)	Data 0.016 (0.003)	Loss 2.0404 (2.0131)	Prec@1 48.000 (47.936)	Prec@5 77.000 (78.419)
Epoch: [52][6030/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.2446 (2.0131)	Prec@1 43.000 (47.938)	Prec@5 74.500 (78.419)
Epoch: [52][6040/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.0933 (2.0131)	Prec@1 48.000 (47.937)	Prec@5 77.000 (78.419)
Epoch: [52][6050/9018]	Time 0.652 (0.625)	Data 0.001 (0.003)	Loss 1.9292 (2.0131)	Prec@1 48.500 (47.938)	Prec@5 81.500 (78.417)
Epoch: [52][6060/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 2.1437 (2.0132)	Prec@1 49.000 (47.936)	Prec@5 76.500 (78.416)
Epoch: [52][6070/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.0027 (2.0132)	Prec@1 50.500 (47.939)	Prec@5 77.500 (78.415)
Epoch: [52][6080/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.1141 (2.0132)	Prec@1 45.500 (47.940)	Prec@5 74.500 (78.415)
Epoch: [52][6090/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.0300 (2.0132)	Prec@1 45.500 (47.939)	Prec@5 77.000 (78.413)
Epoch: [52][6100/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.9337 (2.0133)	Prec@1 51.500 (47.938)	Prec@5 81.500 (78.413)
Epoch: [52][6110/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.9541 (2.0133)	Prec@1 48.500 (47.938)	Prec@5 77.500 (78.411)
Epoch: [52][6120/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 2.0535 (2.0132)	Prec@1 48.500 (47.939)	Prec@5 74.000 (78.412)
Epoch: [52][6130/9018]	Time 0.646 (0.625)	Data 0.005 (0.003)	Loss 1.9521 (2.0133)	Prec@1 52.500 (47.937)	Prec@5 79.500 (78.412)
Epoch: [52][6140/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.1363 (2.0133)	Prec@1 46.500 (47.936)	Prec@5 75.000 (78.411)
Epoch: [52][6150/9018]	Time 0.638 (0.625)	Data 0.015 (0.003)	Loss 2.0595 (2.0133)	Prec@1 49.000 (47.936)	Prec@5 76.500 (78.411)
Epoch: [52][6160/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.0468 (2.0134)	Prec@1 48.500 (47.934)	Prec@5 78.500 (78.409)
Epoch: [52][6170/9018]	Time 0.632 (0.625)	Data 0.014 (0.003)	Loss 1.8968 (2.0134)	Prec@1 51.000 (47.936)	Prec@5 83.500 (78.409)
Epoch: [52][6180/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0415 (2.0135)	Prec@1 47.500 (47.934)	Prec@5 78.500 (78.406)
Epoch: [52][6190/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.0842 (2.0136)	Prec@1 49.500 (47.931)	Prec@5 75.500 (78.401)
Epoch: [52][6200/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.8176 (2.0136)	Prec@1 49.500 (47.933)	Prec@5 82.500 (78.403)
Epoch: [52][6210/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.9023 (2.0136)	Prec@1 51.000 (47.934)	Prec@5 79.500 (78.400)
Epoch: [52][6220/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.7902 (2.0136)	Prec@1 52.500 (47.933)	Prec@5 83.500 (78.401)
Epoch: [52][6230/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.9938 (2.0137)	Prec@1 46.000 (47.932)	Prec@5 80.500 (78.400)
Epoch: [52][6240/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.9272 (2.0137)	Prec@1 50.000 (47.934)	Prec@5 80.000 (78.401)
Epoch: [52][6250/9018]	Time 0.619 (0.625)	Data 0.014 (0.003)	Loss 1.9837 (2.0138)	Prec@1 50.000 (47.931)	Prec@5 77.500 (78.397)
Epoch: [52][6260/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 2.0480 (2.0139)	Prec@1 47.000 (47.932)	Prec@5 77.000 (78.396)
Epoch: [52][6270/9018]	Time 0.607 (0.625)	Data 0.017 (0.003)	Loss 2.0093 (2.0140)	Prec@1 46.500 (47.929)	Prec@5 80.000 (78.395)
Epoch: [52][6280/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.8969 (2.0139)	Prec@1 47.500 (47.929)	Prec@5 81.500 (78.397)
Epoch: [52][6290/9018]	Time 0.620 (0.625)	Data 0.015 (0.003)	Loss 1.8730 (2.0139)	Prec@1 54.500 (47.929)	Prec@5 78.000 (78.396)
Epoch: [52][6300/9018]	Time 0.723 (0.625)	Data 0.001 (0.003)	Loss 2.2551 (2.0140)	Prec@1 41.500 (47.928)	Prec@5 74.500 (78.394)
Epoch: [52][6310/9018]	Time 0.658 (0.625)	Data 0.001 (0.003)	Loss 1.8784 (2.0141)	Prec@1 55.000 (47.928)	Prec@5 80.000 (78.394)
Epoch: [52][6320/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.2980 (2.0143)	Prec@1 44.500 (47.924)	Prec@5 71.500 (78.390)
Epoch: [52][6330/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.1348 (2.0143)	Prec@1 48.000 (47.925)	Prec@5 73.500 (78.389)
Epoch: [52][6340/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 2.0840 (2.0144)	Prec@1 47.000 (47.923)	Prec@5 77.000 (78.387)
Epoch: [52][6350/9018]	Time 0.789 (0.625)	Data 0.013 (0.003)	Loss 1.9657 (2.0144)	Prec@1 46.000 (47.921)	Prec@5 79.000 (78.386)
Epoch: [52][6360/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.0531 (2.0143)	Prec@1 46.500 (47.923)	Prec@5 74.000 (78.387)
Epoch: [52][6370/9018]	Time 0.654 (0.625)	Data 0.001 (0.003)	Loss 2.1878 (2.0143)	Prec@1 44.500 (47.923)	Prec@5 78.000 (78.388)
Epoch: [52][6380/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.1537 (2.0143)	Prec@1 47.000 (47.924)	Prec@5 78.500 (78.389)
Epoch: [52][6390/9018]	Time 0.609 (0.625)	Data 0.022 (0.003)	Loss 1.8043 (2.0143)	Prec@1 50.000 (47.925)	Prec@5 81.000 (78.389)
Epoch: [52][6400/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 2.0488 (2.0144)	Prec@1 53.000 (47.922)	Prec@5 79.500 (78.387)
Epoch: [52][6410/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.7448 (2.0145)	Prec@1 50.000 (47.919)	Prec@5 83.500 (78.386)
Epoch: [52][6420/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.0523 (2.0145)	Prec@1 46.000 (47.919)	Prec@5 78.500 (78.384)
Epoch: [52][6430/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.9797 (2.0146)	Prec@1 44.000 (47.917)	Prec@5 79.000 (78.383)
Epoch: [52][6440/9018]	Time 0.644 (0.625)	Data 0.001 (0.003)	Loss 1.9362 (2.0145)	Prec@1 49.500 (47.917)	Prec@5 79.000 (78.384)
Epoch: [52][6450/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 1.9149 (2.0146)	Prec@1 52.000 (47.918)	Prec@5 81.000 (78.384)
Epoch: [52][6460/9018]	Time 0.627 (0.625)	Data 0.022 (0.003)	Loss 2.1086 (2.0145)	Prec@1 49.500 (47.919)	Prec@5 75.000 (78.383)
Epoch: [52][6470/9018]	Time 0.658 (0.625)	Data 0.001 (0.003)	Loss 1.8844 (2.0145)	Prec@1 50.500 (47.920)	Prec@5 80.500 (78.384)
Epoch: [52][6480/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.9445 (2.0146)	Prec@1 46.000 (47.919)	Prec@5 81.500 (78.383)
Epoch: [52][6490/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0027 (2.0146)	Prec@1 49.000 (47.919)	Prec@5 77.500 (78.384)
Epoch: [52][6500/9018]	Time 0.605 (0.625)	Data 0.013 (0.003)	Loss 1.9231 (2.0145)	Prec@1 48.500 (47.919)	Prec@5 83.000 (78.385)
Epoch: [52][6510/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 2.1874 (2.0144)	Prec@1 44.000 (47.922)	Prec@5 74.500 (78.386)
Epoch: [52][6520/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.0671 (2.0145)	Prec@1 48.000 (47.920)	Prec@5 79.000 (78.385)
Epoch: [52][6530/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9121 (2.0145)	Prec@1 47.500 (47.920)	Prec@5 79.000 (78.385)
Epoch: [52][6540/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.7933 (2.0146)	Prec@1 55.000 (47.919)	Prec@5 81.500 (78.383)
Epoch: [52][6550/9018]	Time 0.664 (0.625)	Data 0.001 (0.003)	Loss 2.0038 (2.0145)	Prec@1 45.500 (47.920)	Prec@5 81.000 (78.384)
Epoch: [52][6560/9018]	Time 0.616 (0.625)	Data 0.011 (0.003)	Loss 1.9928 (2.0145)	Prec@1 47.500 (47.919)	Prec@5 81.500 (78.385)
Epoch: [52][6570/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.1736 (2.0146)	Prec@1 44.000 (47.918)	Prec@5 73.000 (78.383)
Epoch: [52][6580/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.2242 (2.0147)	Prec@1 45.500 (47.917)	Prec@5 75.500 (78.381)
Epoch: [52][6590/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 2.0914 (2.0146)	Prec@1 47.000 (47.918)	Prec@5 76.000 (78.381)
Epoch: [52][6600/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.9379 (2.0146)	Prec@1 51.500 (47.919)	Prec@5 80.000 (78.383)
Epoch: [52][6610/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.8574 (2.0146)	Prec@1 53.000 (47.919)	Prec@5 80.500 (78.383)
Epoch: [52][6620/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0859 (2.0146)	Prec@1 43.000 (47.918)	Prec@5 73.500 (78.384)
Epoch: [52][6630/9018]	Time 0.781 (0.625)	Data 0.001 (0.003)	Loss 2.0872 (2.0146)	Prec@1 42.500 (47.920)	Prec@5 77.000 (78.384)
Epoch: [52][6640/9018]	Time 0.627 (0.625)	Data 0.011 (0.003)	Loss 1.7960 (2.0145)	Prec@1 52.000 (47.923)	Prec@5 85.500 (78.387)
Epoch: [52][6650/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 2.0249 (2.0144)	Prec@1 46.000 (47.923)	Prec@5 75.500 (78.388)
Epoch: [52][6660/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.0847 (2.0144)	Prec@1 43.500 (47.923)	Prec@5 78.000 (78.388)
Epoch: [52][6670/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.1071 (2.0145)	Prec@1 47.500 (47.921)	Prec@5 76.500 (78.386)
Epoch: [52][6680/9018]	Time 0.728 (0.625)	Data 0.001 (0.003)	Loss 2.1243 (2.0146)	Prec@1 45.000 (47.920)	Prec@5 77.500 (78.385)
Epoch: [52][6690/9018]	Time 0.619 (0.625)	Data 0.014 (0.003)	Loss 2.0858 (2.0146)	Prec@1 47.500 (47.919)	Prec@5 78.000 (78.385)
Epoch: [52][6700/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.7285 (2.0145)	Prec@1 53.000 (47.920)	Prec@5 82.500 (78.385)
Epoch: [52][6710/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.0196 (2.0145)	Prec@1 48.500 (47.920)	Prec@5 79.000 (78.386)
Epoch: [52][6720/9018]	Time 0.619 (0.625)	Data 0.014 (0.003)	Loss 2.0791 (2.0144)	Prec@1 45.000 (47.923)	Prec@5 77.000 (78.388)
Epoch: [52][6730/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.0422 (2.0144)	Prec@1 43.500 (47.923)	Prec@5 75.500 (78.387)
Epoch: [52][6740/9018]	Time 0.612 (0.625)	Data 0.013 (0.003)	Loss 1.9494 (2.0145)	Prec@1 54.000 (47.923)	Prec@5 75.500 (78.385)
Epoch: [52][6750/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.9423 (2.0145)	Prec@1 48.000 (47.923)	Prec@5 79.000 (78.385)
Epoch: [52][6760/9018]	Time 0.628 (0.625)	Data 0.017 (0.003)	Loss 2.1186 (2.0144)	Prec@1 47.000 (47.923)	Prec@5 78.000 (78.387)
Epoch: [52][6770/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.9768 (2.0144)	Prec@1 47.500 (47.922)	Prec@5 78.000 (78.387)
Epoch: [52][6780/9018]	Time 0.656 (0.625)	Data 0.001 (0.003)	Loss 1.9209 (2.0143)	Prec@1 47.500 (47.926)	Prec@5 78.000 (78.390)
Epoch: [52][6790/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.0685 (2.0143)	Prec@1 45.000 (47.926)	Prec@5 76.500 (78.390)
Epoch: [52][6800/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.0957 (2.0142)	Prec@1 46.000 (47.926)	Prec@5 77.000 (78.392)
Epoch: [52][6810/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.0523 (2.0143)	Prec@1 49.000 (47.926)	Prec@5 77.000 (78.392)
Epoch: [52][6820/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.9732 (2.0142)	Prec@1 50.000 (47.928)	Prec@5 78.500 (78.393)
Epoch: [52][6830/9018]	Time 0.642 (0.625)	Data 0.014 (0.003)	Loss 1.9492 (2.0143)	Prec@1 47.000 (47.928)	Prec@5 80.500 (78.392)
Epoch: [52][6840/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.7543 (2.0142)	Prec@1 51.500 (47.927)	Prec@5 85.500 (78.394)
Epoch: [52][6850/9018]	Time 0.606 (0.625)	Data 0.027 (0.003)	Loss 2.0064 (2.0142)	Prec@1 48.000 (47.929)	Prec@5 77.500 (78.394)
Epoch: [52][6860/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 2.2463 (2.0143)	Prec@1 44.000 (47.926)	Prec@5 70.000 (78.390)
Epoch: [52][6870/9018]	Time 0.614 (0.625)	Data 0.004 (0.003)	Loss 1.9996 (2.0143)	Prec@1 45.000 (47.925)	Prec@5 78.500 (78.391)
Epoch: [52][6880/9018]	Time 0.589 (0.625)	Data 0.001 (0.003)	Loss 2.0563 (2.0143)	Prec@1 47.500 (47.925)	Prec@5 78.500 (78.390)
Epoch: [52][6890/9018]	Time 0.658 (0.625)	Data 0.016 (0.003)	Loss 2.1580 (2.0144)	Prec@1 45.500 (47.922)	Prec@5 74.500 (78.390)
Epoch: [52][6900/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0101 (2.0145)	Prec@1 47.500 (47.920)	Prec@5 80.500 (78.387)
Epoch: [52][6910/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.0526 (2.0146)	Prec@1 48.500 (47.917)	Prec@5 76.500 (78.386)
Epoch: [52][6920/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.8489 (2.0146)	Prec@1 55.000 (47.918)	Prec@5 82.000 (78.386)
Epoch: [52][6930/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.8590 (2.0145)	Prec@1 51.500 (47.920)	Prec@5 82.500 (78.389)
Epoch: [52][6940/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.8706 (2.0145)	Prec@1 54.500 (47.919)	Prec@5 81.000 (78.389)
Epoch: [52][6950/9018]	Time 0.653 (0.625)	Data 0.001 (0.003)	Loss 1.9324 (2.0145)	Prec@1 46.000 (47.921)	Prec@5 82.000 (78.388)
Epoch: [52][6960/9018]	Time 0.755 (0.625)	Data 0.001 (0.003)	Loss 2.2585 (2.0146)	Prec@1 44.000 (47.920)	Prec@5 74.000 (78.386)
Epoch: [52][6970/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.7732 (2.0145)	Prec@1 53.000 (47.921)	Prec@5 84.000 (78.386)
Epoch: [52][6980/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.0359 (2.0145)	Prec@1 52.000 (47.921)	Prec@5 77.500 (78.387)
Epoch: [52][6990/9018]	Time 0.637 (0.625)	Data 0.016 (0.003)	Loss 1.9273 (2.0144)	Prec@1 47.000 (47.922)	Prec@5 81.500 (78.387)
Epoch: [52][7000/9018]	Time 0.653 (0.625)	Data 0.001 (0.003)	Loss 2.0328 (2.0145)	Prec@1 45.500 (47.923)	Prec@5 73.500 (78.387)
Epoch: [52][7010/9018]	Time 0.783 (0.625)	Data 0.001 (0.003)	Loss 2.1227 (2.0145)	Prec@1 42.000 (47.919)	Prec@5 74.500 (78.385)
Epoch: [52][7020/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.8960 (2.0145)	Prec@1 48.500 (47.919)	Prec@5 76.000 (78.388)
Epoch: [52][7030/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9197 (2.0144)	Prec@1 54.500 (47.919)	Prec@5 81.000 (78.389)
Epoch: [52][7040/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.9468 (2.0144)	Prec@1 46.000 (47.920)	Prec@5 82.500 (78.388)
Epoch: [52][7050/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.0663 (2.0144)	Prec@1 45.000 (47.920)	Prec@5 77.000 (78.388)
Epoch: [52][7060/9018]	Time 0.611 (0.625)	Data 0.017 (0.003)	Loss 1.9284 (2.0144)	Prec@1 46.500 (47.917)	Prec@5 80.000 (78.387)
Epoch: [52][7070/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8657 (2.0144)	Prec@1 51.000 (47.917)	Prec@5 76.500 (78.386)
Epoch: [52][7080/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 2.1981 (2.0144)	Prec@1 42.000 (47.917)	Prec@5 78.000 (78.387)
Epoch: [52][7090/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.8943 (2.0144)	Prec@1 50.500 (47.915)	Prec@5 78.000 (78.387)
Epoch: [52][7100/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.8613 (2.0144)	Prec@1 46.500 (47.914)	Prec@5 80.000 (78.388)
Epoch: [52][7110/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.8735 (2.0144)	Prec@1 51.000 (47.913)	Prec@5 81.500 (78.387)
Epoch: [52][7120/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.9416 (2.0143)	Prec@1 52.000 (47.916)	Prec@5 79.500 (78.389)
Epoch: [52][7130/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.9429 (2.0143)	Prec@1 46.000 (47.916)	Prec@5 79.000 (78.389)
Epoch: [52][7140/9018]	Time 0.631 (0.625)	Data 0.013 (0.003)	Loss 2.1037 (2.0144)	Prec@1 47.500 (47.914)	Prec@5 79.000 (78.387)
Epoch: [52][7150/9018]	Time 0.658 (0.625)	Data 0.001 (0.003)	Loss 2.1369 (2.0144)	Prec@1 43.500 (47.912)	Prec@5 75.000 (78.387)
Epoch: [52][7160/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9036 (2.0144)	Prec@1 52.000 (47.913)	Prec@5 81.500 (78.387)
Epoch: [52][7170/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.9233 (2.0144)	Prec@1 51.000 (47.914)	Prec@5 80.000 (78.388)
Epoch: [52][7180/9018]	Time 0.615 (0.625)	Data 0.002 (0.003)	Loss 2.2425 (2.0144)	Prec@1 48.500 (47.914)	Prec@5 75.500 (78.388)
Epoch: [52][7190/9018]	Time 0.626 (0.625)	Data 0.016 (0.003)	Loss 1.8777 (2.0143)	Prec@1 48.500 (47.914)	Prec@5 79.500 (78.388)
Epoch: [52][7200/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.2400 (2.0143)	Prec@1 42.000 (47.916)	Prec@5 71.500 (78.388)
Epoch: [52][7210/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.0144 (2.0143)	Prec@1 46.500 (47.915)	Prec@5 76.500 (78.389)
Epoch: [52][7220/9018]	Time 0.616 (0.625)	Data 0.012 (0.003)	Loss 1.9483 (2.0144)	Prec@1 51.000 (47.916)	Prec@5 78.500 (78.386)
Epoch: [52][7230/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 2.1218 (2.0145)	Prec@1 47.500 (47.914)	Prec@5 74.000 (78.384)
Epoch: [52][7240/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.0640 (2.0145)	Prec@1 49.000 (47.915)	Prec@5 78.000 (78.386)
Epoch: [52][7250/9018]	Time 0.618 (0.625)	Data 0.014 (0.003)	Loss 1.7512 (2.0144)	Prec@1 53.500 (47.920)	Prec@5 82.000 (78.387)
Epoch: [52][7260/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.9879 (2.0145)	Prec@1 46.500 (47.919)	Prec@5 77.000 (78.385)
Epoch: [52][7270/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.9192 (2.0145)	Prec@1 47.500 (47.915)	Prec@5 79.000 (78.384)
Epoch: [52][7280/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.2216 (2.0146)	Prec@1 49.000 (47.914)	Prec@5 70.000 (78.382)
Epoch: [52][7290/9018]	Time 0.736 (0.625)	Data 0.001 (0.003)	Loss 1.8336 (2.0147)	Prec@1 50.500 (47.912)	Prec@5 83.000 (78.382)
Epoch: [52][7300/9018]	Time 0.667 (0.625)	Data 0.001 (0.003)	Loss 2.1542 (2.0147)	Prec@1 45.500 (47.912)	Prec@5 77.500 (78.381)
Epoch: [52][7310/9018]	Time 0.643 (0.625)	Data 0.001 (0.003)	Loss 1.9958 (2.0147)	Prec@1 45.500 (47.912)	Prec@5 76.500 (78.382)
Epoch: [52][7320/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.1156 (2.0147)	Prec@1 46.000 (47.911)	Prec@5 76.500 (78.380)
Epoch: [52][7330/9018]	Time 0.597 (0.625)	Data 0.014 (0.003)	Loss 2.1428 (2.0147)	Prec@1 44.500 (47.911)	Prec@5 71.000 (78.379)
Epoch: [52][7340/9018]	Time 0.757 (0.625)	Data 0.001 (0.003)	Loss 1.8142 (2.0147)	Prec@1 54.500 (47.911)	Prec@5 81.500 (78.380)
Epoch: [52][7350/9018]	Time 0.646 (0.625)	Data 0.013 (0.003)	Loss 2.2750 (2.0148)	Prec@1 45.000 (47.911)	Prec@5 76.500 (78.380)
Epoch: [52][7360/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.2258 (2.0148)	Prec@1 44.000 (47.908)	Prec@5 76.000 (78.380)
Epoch: [52][7370/9018]	Time 0.638 (0.625)	Data 0.009 (0.003)	Loss 2.2872 (2.0148)	Prec@1 41.000 (47.910)	Prec@5 73.500 (78.380)
Epoch: [52][7380/9018]	Time 0.606 (0.625)	Data 0.006 (0.003)	Loss 1.7992 (2.0148)	Prec@1 54.000 (47.912)	Prec@5 81.000 (78.380)
Epoch: [52][7390/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.8801 (2.0148)	Prec@1 48.000 (47.913)	Prec@5 79.500 (78.380)
Epoch: [52][7400/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.1359 (2.0148)	Prec@1 48.500 (47.912)	Prec@5 74.500 (78.378)
Epoch: [52][7410/9018]	Time 0.647 (0.625)	Data 0.001 (0.003)	Loss 1.9851 (2.0148)	Prec@1 51.500 (47.913)	Prec@5 79.000 (78.377)
Epoch: [52][7420/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 2.0913 (2.0148)	Prec@1 44.500 (47.912)	Prec@5 77.500 (78.379)
Epoch: [52][7430/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 2.2026 (2.0148)	Prec@1 43.500 (47.912)	Prec@5 78.000 (78.381)
Epoch: [52][7440/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.7939 (2.0148)	Prec@1 52.000 (47.910)	Prec@5 85.000 (78.380)
Epoch: [52][7450/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 2.0962 (2.0149)	Prec@1 48.500 (47.910)	Prec@5 75.500 (78.379)
Epoch: [52][7460/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8692 (2.0148)	Prec@1 47.500 (47.910)	Prec@5 82.000 (78.381)
Epoch: [52][7470/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.1694 (2.0149)	Prec@1 45.500 (47.909)	Prec@5 73.500 (78.382)
Epoch: [52][7480/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.1006 (2.0149)	Prec@1 50.000 (47.910)	Prec@5 77.500 (78.380)
Epoch: [52][7490/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0945 (2.0149)	Prec@1 47.000 (47.910)	Prec@5 79.500 (78.378)
Epoch: [52][7500/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0305 (2.0150)	Prec@1 49.500 (47.911)	Prec@5 78.500 (78.377)
Epoch: [52][7510/9018]	Time 0.655 (0.625)	Data 0.001 (0.003)	Loss 1.9795 (2.0150)	Prec@1 47.000 (47.910)	Prec@5 79.000 (78.377)
Epoch: [52][7520/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.7682 (2.0150)	Prec@1 52.500 (47.909)	Prec@5 80.500 (78.377)
Epoch: [52][7530/9018]	Time 0.640 (0.625)	Data 0.016 (0.003)	Loss 1.9660 (2.0150)	Prec@1 50.000 (47.908)	Prec@5 80.500 (78.379)
Epoch: [52][7540/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.1417 (2.0150)	Prec@1 43.500 (47.905)	Prec@5 75.000 (78.378)
Epoch: [52][7550/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.9163 (2.0150)	Prec@1 51.000 (47.905)	Prec@5 80.000 (78.378)
Epoch: [52][7560/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.9113 (2.0150)	Prec@1 50.000 (47.907)	Prec@5 78.000 (78.379)
Epoch: [52][7570/9018]	Time 0.650 (0.625)	Data 0.001 (0.003)	Loss 2.0114 (2.0150)	Prec@1 48.500 (47.908)	Prec@5 79.500 (78.380)
Epoch: [52][7580/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 2.0535 (2.0150)	Prec@1 51.000 (47.909)	Prec@5 76.500 (78.379)
Epoch: [52][7590/9018]	Time 0.675 (0.625)	Data 0.001 (0.003)	Loss 1.9340 (2.0150)	Prec@1 50.500 (47.910)	Prec@5 76.500 (78.378)
Epoch: [52][7600/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.8027 (2.0150)	Prec@1 50.000 (47.910)	Prec@5 82.000 (78.378)
Epoch: [52][7610/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.8640 (2.0150)	Prec@1 51.500 (47.911)	Prec@5 81.500 (78.378)
Epoch: [52][7620/9018]	Time 0.743 (0.625)	Data 0.001 (0.003)	Loss 2.1496 (2.0149)	Prec@1 43.500 (47.911)	Prec@5 78.000 (78.380)
Epoch: [52][7630/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 2.0740 (2.0150)	Prec@1 46.500 (47.909)	Prec@5 76.500 (78.381)
Epoch: [52][7640/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 2.0991 (2.0149)	Prec@1 52.000 (47.910)	Prec@5 74.000 (78.380)
Epoch: [52][7650/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.1158 (2.0149)	Prec@1 46.000 (47.911)	Prec@5 76.500 (78.380)
Epoch: [52][7660/9018]	Time 0.673 (0.625)	Data 0.016 (0.003)	Loss 1.9317 (2.0149)	Prec@1 49.000 (47.912)	Prec@5 79.500 (78.381)
Epoch: [52][7670/9018]	Time 0.769 (0.625)	Data 0.001 (0.003)	Loss 2.0065 (2.0150)	Prec@1 50.000 (47.909)	Prec@5 79.500 (78.379)
Epoch: [52][7680/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.0518 (2.0150)	Prec@1 48.000 (47.908)	Prec@5 77.000 (78.380)
Epoch: [52][7690/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.9969 (2.0150)	Prec@1 45.000 (47.908)	Prec@5 78.500 (78.379)
Epoch: [52][7700/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9078 (2.0150)	Prec@1 51.500 (47.908)	Prec@5 78.000 (78.380)
Epoch: [52][7710/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.7846 (2.0151)	Prec@1 53.000 (47.907)	Prec@5 80.500 (78.379)
Epoch: [52][7720/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.0817 (2.0150)	Prec@1 47.500 (47.907)	Prec@5 74.500 (78.380)
Epoch: [52][7730/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.9869 (2.0151)	Prec@1 49.000 (47.906)	Prec@5 80.500 (78.378)
Epoch: [52][7740/9018]	Time 0.625 (0.625)	Data 0.016 (0.003)	Loss 2.0031 (2.0152)	Prec@1 47.000 (47.904)	Prec@5 79.000 (78.377)
Epoch: [52][7750/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.1988 (2.0153)	Prec@1 41.000 (47.902)	Prec@5 79.000 (78.376)
Epoch: [52][7760/9018]	Time 0.620 (0.625)	Data 0.016 (0.003)	Loss 2.0152 (2.0154)	Prec@1 49.500 (47.900)	Prec@5 75.500 (78.375)
Epoch: [52][7770/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.1793 (2.0154)	Prec@1 45.500 (47.899)	Prec@5 77.000 (78.374)
Epoch: [52][7780/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.0654 (2.0155)	Prec@1 47.500 (47.897)	Prec@5 77.000 (78.373)
Epoch: [52][7790/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.3316 (2.0155)	Prec@1 45.000 (47.896)	Prec@5 70.500 (78.372)
Epoch: [52][7800/9018]	Time 0.622 (0.625)	Data 0.016 (0.003)	Loss 1.9348 (2.0155)	Prec@1 49.000 (47.898)	Prec@5 78.000 (78.372)
Epoch: [52][7810/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0344 (2.0155)	Prec@1 48.000 (47.899)	Prec@5 77.000 (78.373)
Epoch: [52][7820/9018]	Time 0.598 (0.625)	Data 0.013 (0.003)	Loss 2.0252 (2.0155)	Prec@1 49.500 (47.901)	Prec@5 77.000 (78.373)
Epoch: [52][7830/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 2.1028 (2.0155)	Prec@1 48.500 (47.901)	Prec@5 75.500 (78.373)
Epoch: [52][7840/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.1668 (2.0154)	Prec@1 41.500 (47.902)	Prec@5 77.500 (78.374)
Epoch: [52][7850/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0937 (2.0155)	Prec@1 45.000 (47.901)	Prec@5 75.000 (78.372)
Epoch: [52][7860/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0672 (2.0155)	Prec@1 47.000 (47.903)	Prec@5 78.000 (78.372)
Epoch: [52][7870/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.9216 (2.0156)	Prec@1 47.500 (47.900)	Prec@5 83.500 (78.372)
Epoch: [52][7880/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.0521 (2.0156)	Prec@1 49.000 (47.902)	Prec@5 78.000 (78.371)
Epoch: [52][7890/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.9559 (2.0156)	Prec@1 50.500 (47.903)	Prec@5 79.000 (78.371)
Epoch: [52][7900/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.0512 (2.0157)	Prec@1 47.000 (47.901)	Prec@5 78.000 (78.369)
Epoch: [52][7910/9018]	Time 0.638 (0.625)	Data 0.026 (0.003)	Loss 2.1005 (2.0158)	Prec@1 48.500 (47.901)	Prec@5 74.500 (78.369)
Epoch: [52][7920/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.9880 (2.0158)	Prec@1 51.500 (47.901)	Prec@5 79.000 (78.368)
Epoch: [52][7930/9018]	Time 0.623 (0.625)	Data 0.010 (0.003)	Loss 2.0319 (2.0158)	Prec@1 46.000 (47.901)	Prec@5 81.000 (78.368)
Epoch: [52][7940/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 2.2295 (2.0159)	Prec@1 42.000 (47.900)	Prec@5 73.000 (78.366)
Epoch: [52][7950/9018]	Time 0.715 (0.625)	Data 0.001 (0.003)	Loss 1.9278 (2.0159)	Prec@1 53.000 (47.900)	Prec@5 79.500 (78.365)
Epoch: [52][7960/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.9522 (2.0159)	Prec@1 47.500 (47.899)	Prec@5 79.000 (78.364)
Epoch: [52][7970/9018]	Time 0.644 (0.625)	Data 0.004 (0.003)	Loss 2.0519 (2.0160)	Prec@1 43.500 (47.897)	Prec@5 81.000 (78.365)
Epoch: [52][7980/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 2.0534 (2.0160)	Prec@1 50.500 (47.897)	Prec@5 75.500 (78.365)
Epoch: [52][7990/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 2.0583 (2.0160)	Prec@1 43.500 (47.896)	Prec@5 77.000 (78.364)
Epoch: [52][8000/9018]	Time 0.727 (0.625)	Data 0.001 (0.003)	Loss 2.1757 (2.0160)	Prec@1 44.000 (47.897)	Prec@5 73.500 (78.365)
Epoch: [52][8010/9018]	Time 0.648 (0.625)	Data 0.001 (0.003)	Loss 1.8964 (2.0161)	Prec@1 53.000 (47.894)	Prec@5 79.500 (78.363)
Epoch: [52][8020/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.9531 (2.0162)	Prec@1 50.500 (47.893)	Prec@5 79.500 (78.361)
Epoch: [52][8030/9018]	Time 0.630 (0.625)	Data 0.015 (0.003)	Loss 2.3104 (2.0162)	Prec@1 44.000 (47.891)	Prec@5 72.500 (78.361)
Epoch: [52][8040/9018]	Time 0.605 (0.625)	Data 0.006 (0.003)	Loss 2.2098 (2.0163)	Prec@1 45.000 (47.891)	Prec@5 78.000 (78.360)
Epoch: [52][8050/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.1359 (2.0164)	Prec@1 47.500 (47.890)	Prec@5 75.500 (78.358)
Epoch: [52][8060/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.1453 (2.0164)	Prec@1 44.000 (47.889)	Prec@5 76.500 (78.357)
Epoch: [52][8070/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.1307 (2.0164)	Prec@1 45.000 (47.889)	Prec@5 75.000 (78.356)
Epoch: [52][8080/9018]	Time 0.607 (0.625)	Data 0.004 (0.003)	Loss 2.0584 (2.0164)	Prec@1 48.500 (47.889)	Prec@5 77.000 (78.356)
Epoch: [52][8090/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.1024 (2.0164)	Prec@1 46.000 (47.888)	Prec@5 79.000 (78.356)
Epoch: [52][8100/9018]	Time 0.670 (0.625)	Data 0.001 (0.003)	Loss 2.1399 (2.0165)	Prec@1 43.500 (47.890)	Prec@5 79.500 (78.356)
Epoch: [52][8110/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.9871 (2.0165)	Prec@1 45.000 (47.889)	Prec@5 78.500 (78.356)
Epoch: [52][8120/9018]	Time 0.657 (0.625)	Data 0.017 (0.003)	Loss 1.9725 (2.0165)	Prec@1 45.500 (47.890)	Prec@5 81.000 (78.355)
Epoch: [52][8130/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.2441 (2.0166)	Prec@1 41.500 (47.889)	Prec@5 75.500 (78.353)
Epoch: [52][8140/9018]	Time 0.655 (0.625)	Data 0.001 (0.003)	Loss 2.0263 (2.0166)	Prec@1 45.000 (47.888)	Prec@5 78.000 (78.354)
Epoch: [52][8150/9018]	Time 0.653 (0.625)	Data 0.001 (0.003)	Loss 2.1181 (2.0165)	Prec@1 44.500 (47.890)	Prec@5 76.000 (78.354)
Epoch: [52][8160/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.9765 (2.0164)	Prec@1 46.500 (47.892)	Prec@5 80.500 (78.356)
Epoch: [52][8170/9018]	Time 0.664 (0.625)	Data 0.001 (0.003)	Loss 2.2243 (2.0165)	Prec@1 45.500 (47.890)	Prec@5 75.500 (78.354)
Epoch: [52][8180/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.9180 (2.0165)	Prec@1 48.000 (47.892)	Prec@5 81.000 (78.355)
Epoch: [52][8190/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.9546 (2.0166)	Prec@1 50.000 (47.890)	Prec@5 80.000 (78.353)
Epoch: [52][8200/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.9016 (2.0165)	Prec@1 47.000 (47.892)	Prec@5 78.500 (78.354)
Epoch: [52][8210/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 2.1256 (2.0166)	Prec@1 48.000 (47.891)	Prec@5 76.000 (78.352)
Epoch: [52][8220/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 2.1465 (2.0166)	Prec@1 45.500 (47.889)	Prec@5 76.000 (78.350)
Epoch: [52][8230/9018]	Time 0.598 (0.625)	Data 0.009 (0.003)	Loss 2.1870 (2.0166)	Prec@1 44.500 (47.889)	Prec@5 77.000 (78.350)
Epoch: [52][8240/9018]	Time 0.602 (0.625)	Data 0.003 (0.003)	Loss 2.1150 (2.0166)	Prec@1 45.000 (47.888)	Prec@5 79.000 (78.350)
Epoch: [52][8250/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.1861 (2.0166)	Prec@1 44.500 (47.888)	Prec@5 76.000 (78.350)
Epoch: [52][8260/9018]	Time 0.622 (0.625)	Data 0.005 (0.003)	Loss 2.0087 (2.0166)	Prec@1 44.500 (47.889)	Prec@5 77.500 (78.351)
Epoch: [52][8270/9018]	Time 0.619 (0.625)	Data 0.015 (0.003)	Loss 2.0237 (2.0165)	Prec@1 48.000 (47.889)	Prec@5 78.000 (78.353)
Epoch: [52][8280/9018]	Time 0.754 (0.625)	Data 0.001 (0.003)	Loss 1.9924 (2.0165)	Prec@1 47.500 (47.889)	Prec@5 77.500 (78.353)
Epoch: [52][8290/9018]	Time 0.620 (0.625)	Data 0.013 (0.003)	Loss 1.9354 (2.0165)	Prec@1 47.500 (47.890)	Prec@5 80.000 (78.353)
Epoch: [52][8300/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.8642 (2.0165)	Prec@1 47.000 (47.889)	Prec@5 80.500 (78.352)
Epoch: [52][8310/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.1497 (2.0166)	Prec@1 47.500 (47.887)	Prec@5 77.500 (78.351)
Epoch: [52][8320/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8005 (2.0165)	Prec@1 53.500 (47.888)	Prec@5 81.000 (78.351)
Epoch: [52][8330/9018]	Time 0.734 (0.625)	Data 0.006 (0.003)	Loss 1.8841 (2.0165)	Prec@1 52.000 (47.889)	Prec@5 79.000 (78.351)
Epoch: [52][8340/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 2.1461 (2.0165)	Prec@1 47.000 (47.888)	Prec@5 76.500 (78.349)
Epoch: [52][8350/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 2.0310 (2.0166)	Prec@1 48.000 (47.888)	Prec@5 76.500 (78.347)
Epoch: [52][8360/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8846 (2.0166)	Prec@1 52.000 (47.888)	Prec@5 80.000 (78.347)
Epoch: [52][8370/9018]	Time 0.656 (0.625)	Data 0.001 (0.003)	Loss 2.3536 (2.0166)	Prec@1 39.500 (47.886)	Prec@5 73.500 (78.345)
Epoch: [52][8380/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 1.9301 (2.0167)	Prec@1 53.500 (47.883)	Prec@5 78.500 (78.343)
Epoch: [52][8390/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.7694 (2.0167)	Prec@1 53.500 (47.885)	Prec@5 82.500 (78.344)
Epoch: [52][8400/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9970 (2.0167)	Prec@1 54.000 (47.887)	Prec@5 76.000 (78.343)
Epoch: [52][8410/9018]	Time 0.627 (0.625)	Data 0.016 (0.003)	Loss 1.8623 (2.0167)	Prec@1 54.500 (47.887)	Prec@5 84.000 (78.343)
Epoch: [52][8420/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.0406 (2.0167)	Prec@1 42.000 (47.886)	Prec@5 77.500 (78.343)
Epoch: [52][8430/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.0188 (2.0166)	Prec@1 49.500 (47.886)	Prec@5 77.500 (78.343)
Epoch: [52][8440/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.2619 (2.0167)	Prec@1 40.000 (47.886)	Prec@5 74.000 (78.343)
Epoch: [52][8450/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.0949 (2.0166)	Prec@1 42.000 (47.885)	Prec@5 76.500 (78.343)
Epoch: [52][8460/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.0951 (2.0166)	Prec@1 49.500 (47.887)	Prec@5 77.500 (78.344)
Epoch: [52][8470/9018]	Time 0.618 (0.625)	Data 0.017 (0.003)	Loss 2.1162 (2.0166)	Prec@1 43.000 (47.887)	Prec@5 76.500 (78.345)
Epoch: [52][8480/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.8882 (2.0165)	Prec@1 50.500 (47.887)	Prec@5 80.000 (78.346)
Epoch: [52][8490/9018]	Time 0.626 (0.625)	Data 0.016 (0.003)	Loss 2.0350 (2.0166)	Prec@1 48.000 (47.886)	Prec@5 75.500 (78.345)
Epoch: [52][8500/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.9937 (2.0165)	Prec@1 42.000 (47.887)	Prec@5 76.000 (78.345)
Epoch: [52][8510/9018]	Time 0.611 (0.625)	Data 0.017 (0.003)	Loss 1.9300 (2.0166)	Prec@1 45.000 (47.885)	Prec@5 79.500 (78.344)
Epoch: [52][8520/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.2630 (2.0167)	Prec@1 41.000 (47.883)	Prec@5 73.000 (78.344)
Epoch: [52][8530/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.1280 (2.0167)	Prec@1 44.500 (47.882)	Prec@5 75.500 (78.343)
Epoch: [52][8540/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.0778 (2.0167)	Prec@1 44.500 (47.882)	Prec@5 79.000 (78.342)
Epoch: [52][8550/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9042 (2.0167)	Prec@1 46.000 (47.882)	Prec@5 79.500 (78.342)
Epoch: [52][8560/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.8418 (2.0167)	Prec@1 46.000 (47.882)	Prec@5 81.500 (78.343)
Epoch: [52][8570/9018]	Time 0.656 (0.625)	Data 0.016 (0.003)	Loss 1.8215 (2.0166)	Prec@1 56.000 (47.884)	Prec@5 81.500 (78.344)
Epoch: [52][8580/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.2092 (2.0166)	Prec@1 44.500 (47.884)	Prec@5 75.000 (78.345)
Epoch: [52][8590/9018]	Time 0.631 (0.625)	Data 0.015 (0.003)	Loss 2.0536 (2.0166)	Prec@1 46.000 (47.885)	Prec@5 78.500 (78.344)
Epoch: [52][8600/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0742 (2.0167)	Prec@1 40.500 (47.885)	Prec@5 79.500 (78.343)
Epoch: [52][8610/9018]	Time 0.787 (0.625)	Data 0.001 (0.003)	Loss 1.9626 (2.0167)	Prec@1 50.000 (47.886)	Prec@5 78.500 (78.343)
Epoch: [52][8620/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.0554 (2.0167)	Prec@1 47.500 (47.886)	Prec@5 77.500 (78.343)
Epoch: [52][8630/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.1175 (2.0167)	Prec@1 44.500 (47.885)	Prec@5 75.000 (78.343)
Epoch: [52][8640/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.9428 (2.0166)	Prec@1 47.500 (47.885)	Prec@5 78.500 (78.343)
Epoch: [52][8650/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.9360 (2.0166)	Prec@1 47.000 (47.886)	Prec@5 83.000 (78.344)
Epoch: [52][8660/9018]	Time 0.710 (0.625)	Data 0.001 (0.003)	Loss 2.3265 (2.0167)	Prec@1 40.500 (47.885)	Prec@5 73.000 (78.342)
Epoch: [52][8670/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 2.2657 (2.0168)	Prec@1 47.500 (47.886)	Prec@5 73.500 (78.341)
Epoch: [52][8680/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.2089 (2.0168)	Prec@1 46.000 (47.886)	Prec@5 78.500 (78.341)
Epoch: [52][8690/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0497 (2.0169)	Prec@1 48.500 (47.884)	Prec@5 79.000 (78.339)
Epoch: [52][8700/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.1634 (2.0169)	Prec@1 41.000 (47.884)	Prec@5 76.500 (78.339)
Epoch: [52][8710/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.9548 (2.0170)	Prec@1 53.000 (47.883)	Prec@5 78.500 (78.339)
Epoch: [52][8720/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.9062 (2.0170)	Prec@1 50.500 (47.881)	Prec@5 80.500 (78.338)
Epoch: [52][8730/9018]	Time 0.616 (0.625)	Data 0.007 (0.003)	Loss 2.0784 (2.0171)	Prec@1 48.500 (47.880)	Prec@5 81.000 (78.337)
Epoch: [52][8740/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8502 (2.0171)	Prec@1 46.000 (47.880)	Prec@5 80.500 (78.337)
Epoch: [52][8750/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 2.0131 (2.0171)	Prec@1 45.500 (47.879)	Prec@5 78.000 (78.337)
Epoch: [52][8760/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.9523 (2.0171)	Prec@1 48.000 (47.879)	Prec@5 78.000 (78.337)
Epoch: [52][8770/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.0426 (2.0172)	Prec@1 47.500 (47.878)	Prec@5 78.000 (78.337)
Epoch: [52][8780/9018]	Time 0.633 (0.625)	Data 0.005 (0.003)	Loss 1.8026 (2.0171)	Prec@1 49.500 (47.878)	Prec@5 83.500 (78.338)
Epoch: [52][8790/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.9433 (2.0171)	Prec@1 46.000 (47.877)	Prec@5 82.000 (78.339)
Epoch: [52][8800/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.9832 (2.0171)	Prec@1 53.000 (47.878)	Prec@5 76.500 (78.338)
Epoch: [52][8810/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.0921 (2.0172)	Prec@1 46.000 (47.879)	Prec@5 80.000 (78.338)
Epoch: [52][8820/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.2559 (2.0171)	Prec@1 44.000 (47.879)	Prec@5 74.000 (78.338)
Epoch: [52][8830/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.1577 (2.0172)	Prec@1 47.000 (47.879)	Prec@5 73.500 (78.338)
Epoch: [52][8840/9018]	Time 0.598 (0.625)	Data 0.003 (0.003)	Loss 1.9738 (2.0172)	Prec@1 50.000 (47.879)	Prec@5 80.000 (78.338)
Epoch: [52][8850/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.0215 (2.0172)	Prec@1 48.000 (47.881)	Prec@5 79.500 (78.338)
Epoch: [52][8860/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0522 (2.0172)	Prec@1 54.500 (47.882)	Prec@5 77.000 (78.338)
Epoch: [52][8870/9018]	Time 0.616 (0.625)	Data 0.003 (0.003)	Loss 1.9319 (2.0173)	Prec@1 48.500 (47.879)	Prec@5 81.500 (78.338)
Epoch: [52][8880/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.0063 (2.0172)	Prec@1 47.500 (47.879)	Prec@5 78.000 (78.340)
Epoch: [52][8890/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.9544 (2.0172)	Prec@1 49.500 (47.879)	Prec@5 81.000 (78.341)
Epoch: [52][8900/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 2.1016 (2.0173)	Prec@1 46.500 (47.878)	Prec@5 81.000 (78.340)
Epoch: [52][8910/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.0854 (2.0173)	Prec@1 50.000 (47.878)	Prec@5 74.000 (78.339)
Epoch: [52][8920/9018]	Time 0.640 (0.625)	Data 0.008 (0.003)	Loss 2.1315 (2.0174)	Prec@1 48.000 (47.876)	Prec@5 78.000 (78.338)
Epoch: [52][8930/9018]	Time 0.624 (0.625)	Data 0.016 (0.003)	Loss 1.8540 (2.0174)	Prec@1 52.000 (47.876)	Prec@5 83.500 (78.338)
Epoch: [52][8940/9018]	Time 0.714 (0.625)	Data 0.001 (0.003)	Loss 1.8391 (2.0174)	Prec@1 54.000 (47.876)	Prec@5 80.000 (78.339)
Epoch: [52][8950/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0193 (2.0174)	Prec@1 50.000 (47.876)	Prec@5 80.000 (78.338)
Epoch: [52][8960/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.8778 (2.0174)	Prec@1 49.500 (47.876)	Prec@5 81.000 (78.339)
Epoch: [52][8970/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.7786 (2.0173)	Prec@1 55.500 (47.875)	Prec@5 84.000 (78.340)
Epoch: [52][8980/9018]	Time 0.657 (0.625)	Data 0.006 (0.003)	Loss 2.0681 (2.0173)	Prec@1 44.500 (47.875)	Prec@5 77.500 (78.341)
Epoch: [52][8990/9018]	Time 0.729 (0.625)	Data 0.001 (0.003)	Loss 2.1345 (2.0173)	Prec@1 42.000 (47.873)	Prec@5 78.500 (78.341)
Epoch: [52][9000/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 2.0499 (2.0173)	Prec@1 47.500 (47.871)	Prec@5 79.500 (78.342)
Epoch: [52][9010/9018]	Time 0.598 (0.625)	Data 0.000 (0.003)	Loss 2.3472 (2.0174)	Prec@1 41.500 (47.870)	Prec@5 74.500 (78.339)
Test: [0/183]	Time 1.588 (1.588)	Loss 2.5758 (2.5758)	Prec@1 34.000 (34.000)	Prec@5 67.000 (67.000)
Test: [10/183]	Time 0.195 (0.341)	Loss 1.8348 (1.7638)	Prec@1 57.500 (54.318)	Prec@5 78.500 (83.091)
Test: [20/183]	Time 0.218 (0.279)	Loss 2.0176 (1.7301)	Prec@1 50.000 (54.548)	Prec@5 80.500 (83.452)
Test: [30/183]	Time 0.213 (0.255)	Loss 2.4670 (1.7829)	Prec@1 26.500 (52.210)	Prec@5 73.500 (83.226)
Test: [40/183]	Time 0.208 (0.244)	Loss 2.2584 (1.7658)	Prec@1 36.000 (52.744)	Prec@5 78.000 (83.146)
Test: [50/183]	Time 0.229 (0.236)	Loss 1.4340 (1.7314)	Prec@1 63.500 (53.529)	Prec@5 87.500 (83.578)
Test: [60/183]	Time 0.256 (0.233)	Loss 2.5987 (1.8057)	Prec@1 38.500 (51.328)	Prec@5 64.500 (82.492)
Test: [70/183]	Time 0.217 (0.229)	Loss 1.7269 (1.7891)	Prec@1 51.000 (51.697)	Prec@5 86.500 (82.972)
Test: [80/183]	Time 0.188 (0.226)	Loss 1.6472 (1.7680)	Prec@1 49.500 (51.883)	Prec@5 90.500 (83.321)
Test: [90/183]	Time 0.185 (0.225)	Loss 2.1324 (1.7618)	Prec@1 41.000 (51.918)	Prec@5 78.500 (83.462)
Test: [100/183]	Time 0.218 (0.223)	Loss 0.8285 (1.7638)	Prec@1 73.500 (51.955)	Prec@5 94.500 (83.441)
Test: [110/183]	Time 0.214 (0.222)	Loss 0.8024 (1.7642)	Prec@1 78.500 (51.910)	Prec@5 97.000 (83.446)
Test: [120/183]	Time 0.203 (0.220)	Loss 1.9331 (1.7702)	Prec@1 44.000 (51.711)	Prec@5 81.500 (83.417)
Test: [130/183]	Time 0.192 (0.220)	Loss 3.0216 (1.7790)	Prec@1 18.500 (51.443)	Prec@5 70.000 (83.508)
Test: [140/183]	Time 0.208 (0.219)	Loss 1.4116 (1.7629)	Prec@1 65.500 (52.011)	Prec@5 87.000 (83.780)
Test: [150/183]	Time 0.218 (0.218)	Loss 0.6227 (1.7561)	Prec@1 83.000 (52.272)	Prec@5 98.500 (83.884)
Test: [160/183]	Time 0.188 (0.217)	Loss 1.7916 (1.7552)	Prec@1 47.000 (52.491)	Prec@5 81.000 (83.804)
Test: [170/183]	Time 0.227 (0.217)	Loss 2.3521 (1.7710)	Prec@1 35.500 (52.199)	Prec@5 77.500 (83.567)
Test: [180/183]	Time 0.191 (0.216)	Loss 1.8028 (1.7776)	Prec@1 54.000 (52.169)	Prec@5 82.000 (83.387)
 * Prec@1 52.101 Prec@5 83.362
Epoch: [53][0/9018]	Time 3.201 (3.201)	Data 2.569 (2.569)	Loss 1.8963 (1.8963)	Prec@1 51.500 (51.500)	Prec@5 79.000 (79.000)
Epoch: [53][10/9018]	Time 0.620 (0.877)	Data 0.027 (0.241)	Loss 1.9933 (2.0235)	Prec@1 46.500 (47.409)	Prec@5 80.000 (78.727)
Epoch: [53][20/9018]	Time 0.756 (0.756)	Data 0.001 (0.127)	Loss 2.2570 (2.0208)	Prec@1 41.500 (46.762)	Prec@5 73.500 (78.452)
Epoch: [53][30/9018]	Time 0.622 (0.710)	Data 0.001 (0.087)	Loss 1.8121 (1.9992)	Prec@1 51.500 (47.242)	Prec@5 82.500 (78.887)
Epoch: [53][40/9018]	Time 0.610 (0.691)	Data 0.001 (0.066)	Loss 1.7532 (1.9830)	Prec@1 56.000 (48.024)	Prec@5 85.500 (79.195)
Epoch: [53][50/9018]	Time 0.598 (0.677)	Data 0.001 (0.054)	Loss 1.9259 (1.9815)	Prec@1 54.500 (48.598)	Prec@5 77.500 (79.118)
Epoch: [53][60/9018]	Time 0.613 (0.671)	Data 0.001 (0.045)	Loss 1.8179 (1.9646)	Prec@1 50.500 (48.779)	Prec@5 85.500 (79.500)
Epoch: [53][70/9018]	Time 0.753 (0.665)	Data 0.001 (0.039)	Loss 2.0759 (1.9698)	Prec@1 48.000 (48.866)	Prec@5 75.000 (79.239)
Epoch: [53][80/9018]	Time 0.604 (0.659)	Data 0.001 (0.034)	Loss 1.9393 (1.9620)	Prec@1 53.000 (49.080)	Prec@5 77.500 (79.457)
Epoch: [53][90/9018]	Time 0.608 (0.656)	Data 0.001 (0.031)	Loss 2.1805 (1.9670)	Prec@1 44.000 (49.049)	Prec@5 72.500 (79.368)
Epoch: [53][100/9018]	Time 0.620 (0.653)	Data 0.001 (0.028)	Loss 1.8485 (1.9645)	Prec@1 54.000 (49.064)	Prec@5 80.000 (79.376)
Epoch: [53][110/9018]	Time 0.609 (0.651)	Data 0.001 (0.026)	Loss 1.8636 (1.9637)	Prec@1 51.000 (49.018)	Prec@5 81.500 (79.401)
Epoch: [53][120/9018]	Time 0.618 (0.649)	Data 0.001 (0.024)	Loss 2.0294 (1.9707)	Prec@1 48.000 (48.756)	Prec@5 81.000 (79.289)
Epoch: [53][130/9018]	Time 0.629 (0.647)	Data 0.017 (0.022)	Loss 1.9504 (1.9677)	Prec@1 50.000 (48.729)	Prec@5 77.500 (79.302)
Epoch: [53][140/9018]	Time 0.596 (0.645)	Data 0.001 (0.021)	Loss 2.1300 (1.9701)	Prec@1 41.500 (48.652)	Prec@5 78.500 (79.316)
Epoch: [53][150/9018]	Time 0.614 (0.643)	Data 0.001 (0.020)	Loss 2.0046 (1.9711)	Prec@1 48.500 (48.666)	Prec@5 80.000 (79.308)
Epoch: [53][160/9018]	Time 0.603 (0.642)	Data 0.001 (0.019)	Loss 1.9601 (1.9690)	Prec@1 55.500 (48.705)	Prec@5 77.500 (79.320)
Epoch: [53][170/9018]	Time 0.608 (0.641)	Data 0.001 (0.018)	Loss 2.1141 (1.9687)	Prec@1 43.500 (48.699)	Prec@5 76.000 (79.357)
Epoch: [53][180/9018]	Time 0.620 (0.640)	Data 0.001 (0.017)	Loss 1.9679 (1.9695)	Prec@1 51.000 (48.724)	Prec@5 78.500 (79.345)
Epoch: [53][190/9018]	Time 0.595 (0.640)	Data 0.001 (0.016)	Loss 1.9483 (1.9720)	Prec@1 48.500 (48.652)	Prec@5 77.500 (79.262)
Epoch: [53][200/9018]	Time 0.603 (0.638)	Data 0.001 (0.016)	Loss 2.0787 (1.9773)	Prec@1 47.000 (48.592)	Prec@5 77.000 (79.197)
Epoch: [53][210/9018]	Time 0.618 (0.638)	Data 0.001 (0.015)	Loss 1.7572 (1.9760)	Prec@1 54.000 (48.562)	Prec@5 81.000 (79.206)
Epoch: [53][220/9018]	Time 0.603 (0.638)	Data 0.001 (0.014)	Loss 2.0116 (1.9787)	Prec@1 45.500 (48.532)	Prec@5 81.000 (79.136)
Epoch: [53][230/9018]	Time 0.651 (0.636)	Data 0.001 (0.014)	Loss 1.8086 (1.9802)	Prec@1 52.000 (48.483)	Prec@5 80.500 (79.089)
Epoch: [53][240/9018]	Time 0.619 (0.636)	Data 0.001 (0.013)	Loss 1.8693 (1.9809)	Prec@1 52.500 (48.483)	Prec@5 77.500 (79.044)
Epoch: [53][250/9018]	Time 0.626 (0.636)	Data 0.001 (0.013)	Loss 2.0877 (1.9800)	Prec@1 43.000 (48.492)	Prec@5 75.500 (79.080)
Epoch: [53][260/9018]	Time 0.600 (0.636)	Data 0.001 (0.013)	Loss 1.9093 (1.9821)	Prec@1 50.000 (48.429)	Prec@5 80.500 (79.082)
Epoch: [53][270/9018]	Time 0.611 (0.635)	Data 0.001 (0.012)	Loss 1.7556 (1.9819)	Prec@1 54.000 (48.439)	Prec@5 84.000 (79.089)
Epoch: [53][280/9018]	Time 0.609 (0.634)	Data 0.001 (0.012)	Loss 2.0225 (1.9815)	Prec@1 49.000 (48.463)	Prec@5 79.000 (79.094)
Epoch: [53][290/9018]	Time 0.632 (0.635)	Data 0.015 (0.011)	Loss 2.0638 (1.9829)	Prec@1 48.000 (48.459)	Prec@5 82.000 (79.053)
Epoch: [53][300/9018]	Time 0.630 (0.634)	Data 0.001 (0.011)	Loss 1.9407 (1.9832)	Prec@1 50.000 (48.502)	Prec@5 81.000 (79.055)
Epoch: [53][310/9018]	Time 0.591 (0.634)	Data 0.001 (0.011)	Loss 1.9970 (1.9848)	Prec@1 44.500 (48.481)	Prec@5 82.000 (79.040)
Epoch: [53][320/9018]	Time 0.595 (0.634)	Data 0.001 (0.010)	Loss 2.1346 (1.9838)	Prec@1 45.500 (48.509)	Prec@5 82.500 (79.084)
Epoch: [53][330/9018]	Time 0.614 (0.633)	Data 0.001 (0.010)	Loss 2.1216 (1.9846)	Prec@1 43.500 (48.514)	Prec@5 76.500 (79.079)
Epoch: [53][340/9018]	Time 0.642 (0.633)	Data 0.014 (0.010)	Loss 2.0104 (1.9851)	Prec@1 48.000 (48.469)	Prec@5 78.000 (79.070)
Epoch: [53][350/9018]	Time 0.771 (0.633)	Data 0.001 (0.010)	Loss 2.0162 (1.9882)	Prec@1 49.500 (48.425)	Prec@5 81.000 (79.016)
Epoch: [53][360/9018]	Time 0.625 (0.632)	Data 0.001 (0.010)	Loss 2.0774 (1.9878)	Prec@1 50.000 (48.434)	Prec@5 78.000 (79.024)
Epoch: [53][370/9018]	Time 0.632 (0.632)	Data 0.001 (0.009)	Loss 1.8305 (1.9881)	Prec@1 53.000 (48.426)	Prec@5 84.000 (79.035)
Epoch: [53][380/9018]	Time 0.637 (0.632)	Data 0.001 (0.009)	Loss 1.9392 (1.9870)	Prec@1 51.500 (48.445)	Prec@5 76.500 (79.046)
Epoch: [53][390/9018]	Time 0.598 (0.632)	Data 0.001 (0.009)	Loss 2.1892 (1.9866)	Prec@1 43.000 (48.427)	Prec@5 74.000 (79.050)
Epoch: [53][400/9018]	Time 0.765 (0.632)	Data 0.001 (0.009)	Loss 2.1675 (1.9860)	Prec@1 39.500 (48.433)	Prec@5 78.500 (79.076)
Epoch: [53][410/9018]	Time 0.615 (0.632)	Data 0.001 (0.009)	Loss 1.8917 (1.9862)	Prec@1 47.000 (48.432)	Prec@5 79.500 (79.054)
Epoch: [53][420/9018]	Time 0.636 (0.632)	Data 0.001 (0.009)	Loss 2.1367 (1.9858)	Prec@1 46.500 (48.429)	Prec@5 78.500 (79.055)
Epoch: [53][430/9018]	Time 0.596 (0.631)	Data 0.001 (0.008)	Loss 2.1029 (1.9854)	Prec@1 46.500 (48.430)	Prec@5 76.000 (79.065)
Epoch: [53][440/9018]	Time 0.607 (0.631)	Data 0.001 (0.008)	Loss 2.0331 (1.9844)	Prec@1 45.500 (48.451)	Prec@5 78.500 (79.079)
Epoch: [53][450/9018]	Time 0.601 (0.631)	Data 0.001 (0.008)	Loss 2.0252 (1.9843)	Prec@1 50.500 (48.445)	Prec@5 77.500 (79.075)
Epoch: [53][460/9018]	Time 0.622 (0.631)	Data 0.001 (0.008)	Loss 2.0283 (1.9846)	Prec@1 48.000 (48.460)	Prec@5 77.000 (79.062)
Epoch: [53][470/9018]	Time 0.630 (0.631)	Data 0.017 (0.008)	Loss 1.8715 (1.9848)	Prec@1 50.500 (48.460)	Prec@5 81.000 (79.054)
Epoch: [53][480/9018]	Time 0.604 (0.631)	Data 0.001 (0.008)	Loss 2.0586 (1.9857)	Prec@1 46.500 (48.445)	Prec@5 76.000 (79.025)
Epoch: [53][490/9018]	Time 0.641 (0.631)	Data 0.002 (0.008)	Loss 2.0812 (1.9849)	Prec@1 44.000 (48.434)	Prec@5 79.500 (79.037)
Epoch: [53][500/9018]	Time 0.599 (0.631)	Data 0.001 (0.008)	Loss 2.0233 (1.9848)	Prec@1 49.500 (48.437)	Prec@5 76.500 (79.023)
Epoch: [53][510/9018]	Time 0.608 (0.630)	Data 0.001 (0.007)	Loss 1.7074 (1.9844)	Prec@1 53.500 (48.422)	Prec@5 81.500 (79.035)
Epoch: [53][520/9018]	Time 0.613 (0.631)	Data 0.001 (0.007)	Loss 2.0974 (1.9846)	Prec@1 50.500 (48.433)	Prec@5 75.500 (79.006)
Epoch: [53][530/9018]	Time 0.613 (0.630)	Data 0.001 (0.007)	Loss 2.0900 (1.9839)	Prec@1 46.000 (48.438)	Prec@5 76.000 (79.023)
Epoch: [53][540/9018]	Time 0.606 (0.630)	Data 0.001 (0.007)	Loss 2.1343 (1.9831)	Prec@1 44.000 (48.457)	Prec@5 75.000 (79.043)
Epoch: [53][550/9018]	Time 0.607 (0.630)	Data 0.001 (0.007)	Loss 1.8941 (1.9831)	Prec@1 51.500 (48.471)	Prec@5 80.500 (79.018)
Epoch: [53][560/9018]	Time 0.614 (0.630)	Data 0.001 (0.007)	Loss 1.8980 (1.9833)	Prec@1 48.000 (48.466)	Prec@5 81.500 (79.026)
Epoch: [53][570/9018]	Time 0.614 (0.630)	Data 0.001 (0.007)	Loss 1.9457 (1.9835)	Prec@1 51.500 (48.489)	Prec@5 77.500 (79.007)
Epoch: [53][580/9018]	Time 0.590 (0.630)	Data 0.001 (0.007)	Loss 1.9993 (1.9838)	Prec@1 47.000 (48.481)	Prec@5 78.500 (78.995)
Epoch: [53][590/9018]	Time 0.606 (0.630)	Data 0.001 (0.007)	Loss 2.0337 (1.9851)	Prec@1 50.500 (48.448)	Prec@5 76.500 (78.975)
Epoch: [53][600/9018]	Time 0.605 (0.630)	Data 0.001 (0.007)	Loss 1.8956 (1.9837)	Prec@1 51.500 (48.472)	Prec@5 82.500 (79.003)
Epoch: [53][610/9018]	Time 0.624 (0.630)	Data 0.001 (0.007)	Loss 2.1368 (1.9836)	Prec@1 45.000 (48.487)	Prec@5 78.000 (79.012)
Epoch: [53][620/9018]	Time 0.634 (0.630)	Data 0.001 (0.006)	Loss 2.1509 (1.9836)	Prec@1 45.000 (48.482)	Prec@5 75.500 (79.018)
Epoch: [53][630/9018]	Time 0.623 (0.630)	Data 0.001 (0.006)	Loss 1.9162 (1.9835)	Prec@1 53.500 (48.499)	Prec@5 79.000 (79.011)
Epoch: [53][640/9018]	Time 0.617 (0.630)	Data 0.001 (0.006)	Loss 1.9170 (1.9840)	Prec@1 51.000 (48.505)	Prec@5 80.500 (79.009)
Epoch: [53][650/9018]	Time 0.621 (0.630)	Data 0.001 (0.006)	Loss 2.1925 (1.9850)	Prec@1 45.000 (48.484)	Prec@5 73.000 (78.992)
Epoch: [53][660/9018]	Time 0.607 (0.629)	Data 0.001 (0.006)	Loss 1.9343 (1.9857)	Prec@1 52.000 (48.488)	Prec@5 84.000 (78.990)
Epoch: [53][670/9018]	Time 0.626 (0.629)	Data 0.001 (0.006)	Loss 1.9765 (1.9863)	Prec@1 45.500 (48.449)	Prec@5 82.500 (78.993)
Epoch: [53][680/9018]	Time 0.730 (0.630)	Data 0.001 (0.006)	Loss 1.7419 (1.9858)	Prec@1 54.500 (48.458)	Prec@5 82.000 (79.002)
Epoch: [53][690/9018]	Time 0.630 (0.630)	Data 0.001 (0.006)	Loss 1.7601 (1.9856)	Prec@1 49.500 (48.452)	Prec@5 83.000 (79.017)
Epoch: [53][700/9018]	Time 0.620 (0.629)	Data 0.001 (0.006)	Loss 1.9574 (1.9856)	Prec@1 51.000 (48.469)	Prec@5 78.500 (79.005)
Epoch: [53][710/9018]	Time 0.622 (0.629)	Data 0.001 (0.006)	Loss 1.9396 (1.9854)	Prec@1 48.500 (48.475)	Prec@5 80.500 (79.018)
Epoch: [53][720/9018]	Time 0.610 (0.629)	Data 0.001 (0.006)	Loss 2.0571 (1.9858)	Prec@1 48.000 (48.466)	Prec@5 78.000 (79.006)
Epoch: [53][730/9018]	Time 0.789 (0.630)	Data 0.001 (0.006)	Loss 1.9494 (1.9857)	Prec@1 51.500 (48.481)	Prec@5 78.500 (78.999)
Epoch: [53][740/9018]	Time 0.608 (0.629)	Data 0.001 (0.006)	Loss 2.0207 (1.9851)	Prec@1 50.000 (48.502)	Prec@5 80.500 (79.016)
Epoch: [53][750/9018]	Time 0.651 (0.629)	Data 0.001 (0.006)	Loss 2.0141 (1.9843)	Prec@1 45.500 (48.523)	Prec@5 76.500 (79.023)
Epoch: [53][760/9018]	Time 0.607 (0.629)	Data 0.001 (0.006)	Loss 2.0581 (1.9846)	Prec@1 50.500 (48.519)	Prec@5 75.000 (79.008)
Epoch: [53][770/9018]	Time 0.623 (0.629)	Data 0.001 (0.006)	Loss 1.8661 (1.9843)	Prec@1 54.500 (48.519)	Prec@5 80.000 (79.026)
Epoch: [53][780/9018]	Time 0.602 (0.629)	Data 0.001 (0.006)	Loss 1.9837 (1.9849)	Prec@1 50.500 (48.501)	Prec@5 78.500 (79.013)
Epoch: [53][790/9018]	Time 0.620 (0.629)	Data 0.016 (0.006)	Loss 1.9749 (1.9855)	Prec@1 47.500 (48.491)	Prec@5 77.500 (79.001)
Epoch: [53][800/9018]	Time 0.610 (0.629)	Data 0.001 (0.006)	Loss 2.0169 (1.9865)	Prec@1 49.500 (48.458)	Prec@5 78.000 (78.984)
Epoch: [53][810/9018]	Time 0.610 (0.629)	Data 0.001 (0.006)	Loss 1.9299 (1.9860)	Prec@1 50.000 (48.482)	Prec@5 76.000 (78.988)
Epoch: [53][820/9018]	Time 0.650 (0.629)	Data 0.016 (0.006)	Loss 2.0853 (1.9868)	Prec@1 40.500 (48.453)	Prec@5 76.500 (78.967)
Epoch: [53][830/9018]	Time 0.633 (0.629)	Data 0.001 (0.005)	Loss 1.9865 (1.9869)	Prec@1 48.000 (48.448)	Prec@5 83.000 (78.960)
Epoch: [53][840/9018]	Time 0.629 (0.629)	Data 0.001 (0.005)	Loss 2.0600 (1.9867)	Prec@1 49.000 (48.448)	Prec@5 77.500 (78.960)
Epoch: [53][850/9018]	Time 0.606 (0.629)	Data 0.001 (0.005)	Loss 2.0190 (1.9864)	Prec@1 51.000 (48.453)	Prec@5 76.500 (78.956)
Epoch: [53][860/9018]	Time 0.601 (0.629)	Data 0.001 (0.005)	Loss 1.9470 (1.9865)	Prec@1 50.000 (48.449)	Prec@5 78.500 (78.943)
Epoch: [53][870/9018]	Time 0.619 (0.629)	Data 0.001 (0.005)	Loss 2.1361 (1.9864)	Prec@1 45.500 (48.451)	Prec@5 78.000 (78.940)
Epoch: [53][880/9018]	Time 0.651 (0.629)	Data 0.001 (0.005)	Loss 1.9489 (1.9859)	Prec@1 49.000 (48.459)	Prec@5 80.000 (78.952)
Epoch: [53][890/9018]	Time 0.618 (0.629)	Data 0.002 (0.005)	Loss 1.7641 (1.9851)	Prec@1 54.000 (48.466)	Prec@5 82.000 (78.964)
Epoch: [53][900/9018]	Time 0.632 (0.629)	Data 0.001 (0.005)	Loss 1.7165 (1.9844)	Prec@1 53.500 (48.469)	Prec@5 83.500 (78.975)
Epoch: [53][910/9018]	Time 0.621 (0.629)	Data 0.001 (0.005)	Loss 2.1472 (1.9843)	Prec@1 40.500 (48.470)	Prec@5 74.000 (78.975)
Epoch: [53][920/9018]	Time 0.606 (0.629)	Data 0.001 (0.005)	Loss 1.8999 (1.9839)	Prec@1 51.000 (48.482)	Prec@5 80.500 (78.978)
Epoch: [53][930/9018]	Time 0.601 (0.629)	Data 0.001 (0.005)	Loss 2.0448 (1.9844)	Prec@1 50.000 (48.481)	Prec@5 80.500 (78.970)
Epoch: [53][940/9018]	Time 0.599 (0.629)	Data 0.001 (0.005)	Loss 2.0145 (1.9848)	Prec@1 46.000 (48.488)	Prec@5 80.000 (78.961)
Epoch: [53][950/9018]	Time 0.616 (0.629)	Data 0.001 (0.005)	Loss 1.8602 (1.9849)	Prec@1 51.000 (48.500)	Prec@5 80.000 (78.953)
Epoch: [53][960/9018]	Time 0.624 (0.629)	Data 0.001 (0.005)	Loss 2.1310 (1.9849)	Prec@1 45.000 (48.502)	Prec@5 77.000 (78.956)
Epoch: [53][970/9018]	Time 0.617 (0.629)	Data 0.001 (0.005)	Loss 1.9056 (1.9856)	Prec@1 50.500 (48.491)	Prec@5 78.000 (78.945)
Epoch: [53][980/9018]	Time 0.622 (0.629)	Data 0.001 (0.005)	Loss 2.0567 (1.9853)	Prec@1 42.000 (48.493)	Prec@5 77.500 (78.950)
Epoch: [53][990/9018]	Time 0.613 (0.629)	Data 0.001 (0.005)	Loss 1.9367 (1.9858)	Prec@1 48.000 (48.487)	Prec@5 80.500 (78.941)
Epoch: [53][1000/9018]	Time 0.630 (0.629)	Data 0.001 (0.005)	Loss 2.0746 (1.9861)	Prec@1 50.000 (48.473)	Prec@5 74.000 (78.930)
Epoch: [53][1010/9018]	Time 0.724 (0.629)	Data 0.001 (0.005)	Loss 2.0984 (1.9863)	Prec@1 47.000 (48.467)	Prec@5 75.000 (78.915)
Epoch: [53][1020/9018]	Time 0.595 (0.629)	Data 0.001 (0.005)	Loss 1.9243 (1.9861)	Prec@1 49.000 (48.479)	Prec@5 79.500 (78.920)
Epoch: [53][1030/9018]	Time 0.632 (0.629)	Data 0.001 (0.005)	Loss 2.1454 (1.9868)	Prec@1 42.000 (48.470)	Prec@5 76.000 (78.898)
Epoch: [53][1040/9018]	Time 0.594 (0.628)	Data 0.001 (0.005)	Loss 1.8758 (1.9868)	Prec@1 50.000 (48.479)	Prec@5 79.500 (78.888)
Epoch: [53][1050/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 1.8646 (1.9866)	Prec@1 48.500 (48.483)	Prec@5 80.000 (78.888)
Epoch: [53][1060/9018]	Time 0.773 (0.628)	Data 0.001 (0.005)	Loss 2.1308 (1.9874)	Prec@1 48.000 (48.475)	Prec@5 74.000 (78.869)
Epoch: [53][1070/9018]	Time 0.626 (0.628)	Data 0.001 (0.005)	Loss 1.9831 (1.9876)	Prec@1 46.000 (48.465)	Prec@5 79.500 (78.869)
Epoch: [53][1080/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 1.6821 (1.9879)	Prec@1 53.500 (48.453)	Prec@5 86.000 (78.871)
Epoch: [53][1090/9018]	Time 0.648 (0.628)	Data 0.026 (0.005)	Loss 2.0369 (1.9879)	Prec@1 46.500 (48.451)	Prec@5 79.500 (78.879)
Epoch: [53][1100/9018]	Time 0.598 (0.628)	Data 0.001 (0.005)	Loss 2.0281 (1.9878)	Prec@1 47.000 (48.461)	Prec@5 78.000 (78.877)
Epoch: [53][1110/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.9387 (1.9877)	Prec@1 44.500 (48.460)	Prec@5 82.500 (78.887)
Epoch: [53][1120/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 2.1437 (1.9877)	Prec@1 47.000 (48.455)	Prec@5 75.500 (78.885)
Epoch: [53][1130/9018]	Time 0.658 (0.628)	Data 0.001 (0.005)	Loss 1.9563 (1.9876)	Prec@1 49.000 (48.443)	Prec@5 81.500 (78.889)
Epoch: [53][1140/9018]	Time 0.602 (0.628)	Data 0.001 (0.005)	Loss 2.1689 (1.9886)	Prec@1 46.000 (48.421)	Prec@5 74.500 (78.882)
Epoch: [53][1150/9018]	Time 0.617 (0.628)	Data 0.001 (0.005)	Loss 2.1563 (1.9891)	Prec@1 43.500 (48.410)	Prec@5 75.000 (78.875)
Epoch: [53][1160/9018]	Time 0.606 (0.628)	Data 0.001 (0.005)	Loss 1.9872 (1.9895)	Prec@1 47.500 (48.405)	Prec@5 75.500 (78.866)
Epoch: [53][1170/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 2.1121 (1.9902)	Prec@1 46.500 (48.393)	Prec@5 73.500 (78.845)
Epoch: [53][1180/9018]	Time 0.622 (0.628)	Data 0.001 (0.005)	Loss 2.0069 (1.9901)	Prec@1 49.000 (48.391)	Prec@5 79.000 (78.849)
Epoch: [53][1190/9018]	Time 0.614 (0.628)	Data 0.001 (0.004)	Loss 1.8986 (1.9905)	Prec@1 50.000 (48.387)	Prec@5 83.000 (78.855)
Epoch: [53][1200/9018]	Time 0.614 (0.628)	Data 0.001 (0.004)	Loss 1.9592 (1.9908)	Prec@1 48.000 (48.388)	Prec@5 79.000 (78.846)
Epoch: [53][1210/9018]	Time 0.608 (0.628)	Data 0.001 (0.004)	Loss 2.1001 (1.9907)	Prec@1 50.000 (48.395)	Prec@5 74.500 (78.844)
Epoch: [53][1220/9018]	Time 0.624 (0.628)	Data 0.001 (0.004)	Loss 2.0919 (1.9909)	Prec@1 43.500 (48.381)	Prec@5 77.500 (78.846)
Epoch: [53][1230/9018]	Time 0.651 (0.628)	Data 0.016 (0.004)	Loss 2.0038 (1.9911)	Prec@1 49.000 (48.377)	Prec@5 80.000 (78.842)
Epoch: [53][1240/9018]	Time 0.613 (0.628)	Data 0.001 (0.004)	Loss 1.8571 (1.9911)	Prec@1 55.000 (48.384)	Prec@5 79.500 (78.849)
Epoch: [53][1250/9018]	Time 0.613 (0.628)	Data 0.001 (0.004)	Loss 2.0667 (1.9912)	Prec@1 46.500 (48.382)	Prec@5 76.000 (78.845)
Epoch: [53][1260/9018]	Time 0.619 (0.628)	Data 0.001 (0.004)	Loss 2.0393 (1.9912)	Prec@1 49.500 (48.382)	Prec@5 75.000 (78.842)
Epoch: [53][1270/9018]	Time 0.598 (0.628)	Data 0.001 (0.004)	Loss 2.0166 (1.9920)	Prec@1 52.000 (48.372)	Prec@5 78.500 (78.825)
Epoch: [53][1280/9018]	Time 0.631 (0.628)	Data 0.001 (0.004)	Loss 1.8387 (1.9919)	Prec@1 51.000 (48.361)	Prec@5 81.500 (78.833)
Epoch: [53][1290/9018]	Time 0.604 (0.628)	Data 0.001 (0.004)	Loss 2.2046 (1.9918)	Prec@1 46.000 (48.370)	Prec@5 75.500 (78.841)
Epoch: [53][1300/9018]	Time 0.604 (0.628)	Data 0.001 (0.004)	Loss 1.8358 (1.9914)	Prec@1 50.500 (48.373)	Prec@5 79.500 (78.843)
Epoch: [53][1310/9018]	Time 0.629 (0.628)	Data 0.001 (0.004)	Loss 2.0472 (1.9915)	Prec@1 48.500 (48.375)	Prec@5 80.000 (78.841)
Epoch: [53][1320/9018]	Time 0.641 (0.628)	Data 0.001 (0.004)	Loss 1.9264 (1.9917)	Prec@1 52.000 (48.377)	Prec@5 79.500 (78.838)
Epoch: [53][1330/9018]	Time 0.614 (0.628)	Data 0.001 (0.004)	Loss 1.9801 (1.9911)	Prec@1 48.000 (48.396)	Prec@5 80.500 (78.850)
Epoch: [53][1340/9018]	Time 0.777 (0.628)	Data 0.001 (0.004)	Loss 2.0090 (1.9910)	Prec@1 49.000 (48.390)	Prec@5 78.000 (78.849)
Epoch: [53][1350/9018]	Time 0.626 (0.628)	Data 0.001 (0.004)	Loss 1.8029 (1.9910)	Prec@1 55.000 (48.396)	Prec@5 82.500 (78.852)
Epoch: [53][1360/9018]	Time 0.613 (0.628)	Data 0.001 (0.004)	Loss 1.8787 (1.9914)	Prec@1 54.500 (48.400)	Prec@5 80.000 (78.842)
Epoch: [53][1370/9018]	Time 0.602 (0.628)	Data 0.001 (0.004)	Loss 2.1253 (1.9915)	Prec@1 44.500 (48.404)	Prec@5 74.500 (78.835)
Epoch: [53][1380/9018]	Time 0.614 (0.628)	Data 0.001 (0.004)	Loss 1.8851 (1.9918)	Prec@1 52.500 (48.392)	Prec@5 79.000 (78.829)
Epoch: [53][1390/9018]	Time 0.720 (0.628)	Data 0.001 (0.004)	Loss 2.1320 (1.9922)	Prec@1 50.000 (48.387)	Prec@5 74.500 (78.826)
Epoch: [53][1400/9018]	Time 0.606 (0.628)	Data 0.001 (0.004)	Loss 2.1047 (1.9925)	Prec@1 42.000 (48.378)	Prec@5 78.500 (78.819)
Epoch: [53][1410/9018]	Time 0.616 (0.628)	Data 0.001 (0.004)	Loss 1.7963 (1.9924)	Prec@1 52.500 (48.380)	Prec@5 80.500 (78.822)
Epoch: [53][1420/9018]	Time 0.638 (0.628)	Data 0.001 (0.004)	Loss 2.1306 (1.9924)	Prec@1 45.500 (48.381)	Prec@5 76.000 (78.828)
Epoch: [53][1430/9018]	Time 0.606 (0.628)	Data 0.001 (0.004)	Loss 1.8906 (1.9920)	Prec@1 47.000 (48.383)	Prec@5 82.000 (78.834)
Epoch: [53][1440/9018]	Time 0.609 (0.628)	Data 0.001 (0.004)	Loss 2.1001 (1.9923)	Prec@1 40.000 (48.368)	Prec@5 78.500 (78.827)
Epoch: [53][1450/9018]	Time 0.608 (0.628)	Data 0.001 (0.004)	Loss 1.9347 (1.9924)	Prec@1 50.500 (48.366)	Prec@5 81.500 (78.834)
Epoch: [53][1460/9018]	Time 0.605 (0.628)	Data 0.001 (0.004)	Loss 2.0603 (1.9926)	Prec@1 47.000 (48.358)	Prec@5 78.000 (78.833)
Epoch: [53][1470/9018]	Time 0.618 (0.628)	Data 0.001 (0.004)	Loss 2.0164 (1.9928)	Prec@1 51.500 (48.350)	Prec@5 79.000 (78.831)
Epoch: [53][1480/9018]	Time 0.624 (0.628)	Data 0.001 (0.004)	Loss 1.9533 (1.9923)	Prec@1 44.000 (48.363)	Prec@5 82.500 (78.837)
Epoch: [53][1490/9018]	Time 0.630 (0.628)	Data 0.001 (0.004)	Loss 1.9587 (1.9924)	Prec@1 49.000 (48.357)	Prec@5 76.500 (78.838)
Epoch: [53][1500/9018]	Time 0.601 (0.627)	Data 0.001 (0.004)	Loss 1.9990 (1.9926)	Prec@1 48.500 (48.361)	Prec@5 76.500 (78.831)
Epoch: [53][1510/9018]	Time 0.626 (0.628)	Data 0.001 (0.004)	Loss 1.9798 (1.9930)	Prec@1 47.000 (48.356)	Prec@5 79.000 (78.828)
Epoch: [53][1520/9018]	Time 0.613 (0.627)	Data 0.001 (0.004)	Loss 1.9322 (1.9934)	Prec@1 48.500 (48.348)	Prec@5 78.000 (78.820)
Epoch: [53][1530/9018]	Time 0.610 (0.628)	Data 0.001 (0.004)	Loss 2.0068 (1.9939)	Prec@1 48.000 (48.340)	Prec@5 79.000 (78.810)
Epoch: [53][1540/9018]	Time 0.607 (0.628)	Data 0.001 (0.004)	Loss 1.9862 (1.9937)	Prec@1 53.500 (48.346)	Prec@5 80.500 (78.817)
Epoch: [53][1550/9018]	Time 0.611 (0.627)	Data 0.001 (0.004)	Loss 1.7136 (1.9934)	Prec@1 55.500 (48.350)	Prec@5 85.500 (78.824)
Epoch: [53][1560/9018]	Time 0.619 (0.627)	Data 0.001 (0.004)	Loss 1.9057 (1.9935)	Prec@1 51.000 (48.346)	Prec@5 78.500 (78.821)
Epoch: [53][1570/9018]	Time 0.610 (0.627)	Data 0.001 (0.004)	Loss 2.1262 (1.9938)	Prec@1 43.500 (48.341)	Prec@5 80.000 (78.824)
Epoch: [53][1580/9018]	Time 0.628 (0.627)	Data 0.001 (0.004)	Loss 1.8644 (1.9935)	Prec@1 49.000 (48.342)	Prec@5 81.000 (78.835)
Epoch: [53][1590/9018]	Time 0.612 (0.628)	Data 0.001 (0.004)	Loss 1.9747 (1.9932)	Prec@1 46.500 (48.352)	Prec@5 81.000 (78.832)
Epoch: [53][1600/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 2.1604 (1.9935)	Prec@1 44.000 (48.347)	Prec@5 72.500 (78.827)
Epoch: [53][1610/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 1.8384 (1.9935)	Prec@1 50.000 (48.337)	Prec@5 79.000 (78.833)
Epoch: [53][1620/9018]	Time 0.637 (0.627)	Data 0.001 (0.004)	Loss 1.8699 (1.9935)	Prec@1 51.500 (48.337)	Prec@5 80.000 (78.832)
Epoch: [53][1630/9018]	Time 0.600 (0.627)	Data 0.001 (0.004)	Loss 2.1506 (1.9938)	Prec@1 44.500 (48.333)	Prec@5 74.500 (78.830)
Epoch: [53][1640/9018]	Time 0.628 (0.627)	Data 0.001 (0.004)	Loss 2.0097 (1.9939)	Prec@1 48.000 (48.327)	Prec@5 77.500 (78.823)
Epoch: [53][1650/9018]	Time 0.630 (0.627)	Data 0.001 (0.004)	Loss 2.2601 (1.9942)	Prec@1 46.000 (48.318)	Prec@5 74.000 (78.815)
Epoch: [53][1660/9018]	Time 0.642 (0.627)	Data 0.001 (0.004)	Loss 2.1913 (1.9941)	Prec@1 43.000 (48.323)	Prec@5 77.000 (78.815)
Epoch: [53][1670/9018]	Time 0.794 (0.627)	Data 0.001 (0.004)	Loss 1.9103 (1.9946)	Prec@1 47.500 (48.317)	Prec@5 81.500 (78.804)
Epoch: [53][1680/9018]	Time 0.613 (0.627)	Data 0.001 (0.004)	Loss 1.8911 (1.9947)	Prec@1 55.000 (48.318)	Prec@5 80.500 (78.805)
Epoch: [53][1690/9018]	Time 0.619 (0.627)	Data 0.001 (0.004)	Loss 1.8258 (1.9944)	Prec@1 47.000 (48.320)	Prec@5 82.000 (78.808)
Epoch: [53][1700/9018]	Time 0.618 (0.627)	Data 0.001 (0.004)	Loss 2.0506 (1.9947)	Prec@1 46.500 (48.319)	Prec@5 78.000 (78.799)
Epoch: [53][1710/9018]	Time 0.625 (0.627)	Data 0.001 (0.004)	Loss 2.1320 (1.9944)	Prec@1 48.500 (48.321)	Prec@5 77.500 (78.805)
Epoch: [53][1720/9018]	Time 0.744 (0.627)	Data 0.001 (0.004)	Loss 1.8977 (1.9947)	Prec@1 55.000 (48.325)	Prec@5 77.500 (78.802)
Epoch: [53][1730/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 1.8682 (1.9946)	Prec@1 50.000 (48.326)	Prec@5 79.000 (78.802)
Epoch: [53][1740/9018]	Time 0.662 (0.627)	Data 0.001 (0.004)	Loss 1.9611 (1.9944)	Prec@1 50.000 (48.332)	Prec@5 79.500 (78.805)
Epoch: [53][1750/9018]	Time 0.629 (0.627)	Data 0.001 (0.004)	Loss 1.8742 (1.9940)	Prec@1 47.000 (48.335)	Prec@5 79.500 (78.812)
Epoch: [53][1760/9018]	Time 0.599 (0.627)	Data 0.001 (0.004)	Loss 2.0061 (1.9939)	Prec@1 47.000 (48.327)	Prec@5 77.000 (78.815)
Epoch: [53][1770/9018]	Time 0.635 (0.627)	Data 0.001 (0.004)	Loss 1.8012 (1.9937)	Prec@1 53.000 (48.337)	Prec@5 82.000 (78.819)
Epoch: [53][1780/9018]	Time 0.604 (0.627)	Data 0.029 (0.004)	Loss 2.0021 (1.9937)	Prec@1 47.000 (48.334)	Prec@5 78.500 (78.816)
Epoch: [53][1790/9018]	Time 0.641 (0.627)	Data 0.001 (0.004)	Loss 1.9407 (1.9937)	Prec@1 51.500 (48.341)	Prec@5 77.500 (78.812)
Epoch: [53][1800/9018]	Time 0.650 (0.627)	Data 0.016 (0.004)	Loss 2.1804 (1.9938)	Prec@1 42.500 (48.338)	Prec@5 75.500 (78.809)
Epoch: [53][1810/9018]	Time 0.607 (0.627)	Data 0.001 (0.004)	Loss 2.0048 (1.9939)	Prec@1 48.500 (48.337)	Prec@5 75.500 (78.811)
Epoch: [53][1820/9018]	Time 0.617 (0.627)	Data 0.001 (0.004)	Loss 1.8095 (1.9936)	Prec@1 50.500 (48.344)	Prec@5 81.000 (78.812)
Epoch: [53][1830/9018]	Time 0.603 (0.627)	Data 0.001 (0.004)	Loss 1.8529 (1.9937)	Prec@1 51.000 (48.340)	Prec@5 82.500 (78.815)
Epoch: [53][1840/9018]	Time 0.640 (0.627)	Data 0.001 (0.004)	Loss 1.8605 (1.9937)	Prec@1 46.500 (48.338)	Prec@5 79.500 (78.814)
Epoch: [53][1850/9018]	Time 0.639 (0.627)	Data 0.001 (0.004)	Loss 2.1185 (1.9936)	Prec@1 45.500 (48.340)	Prec@5 76.000 (78.815)
Epoch: [53][1860/9018]	Time 0.611 (0.627)	Data 0.001 (0.004)	Loss 2.1068 (1.9940)	Prec@1 44.000 (48.327)	Prec@5 74.000 (78.810)
Epoch: [53][1870/9018]	Time 0.599 (0.627)	Data 0.001 (0.004)	Loss 2.3028 (1.9943)	Prec@1 37.500 (48.317)	Prec@5 70.000 (78.802)
Epoch: [53][1880/9018]	Time 0.609 (0.627)	Data 0.001 (0.004)	Loss 2.0132 (1.9948)	Prec@1 46.500 (48.308)	Prec@5 80.000 (78.793)
Epoch: [53][1890/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 1.9635 (1.9949)	Prec@1 50.500 (48.310)	Prec@5 80.000 (78.791)
Epoch: [53][1900/9018]	Time 0.608 (0.627)	Data 0.001 (0.004)	Loss 2.2315 (1.9946)	Prec@1 40.500 (48.311)	Prec@5 75.500 (78.796)
Epoch: [53][1910/9018]	Time 0.618 (0.627)	Data 0.001 (0.004)	Loss 2.0805 (1.9949)	Prec@1 47.000 (48.305)	Prec@5 77.000 (78.792)
Epoch: [53][1920/9018]	Time 0.601 (0.627)	Data 0.006 (0.004)	Loss 2.1835 (1.9951)	Prec@1 46.500 (48.300)	Prec@5 78.000 (78.791)
Epoch: [53][1930/9018]	Time 0.622 (0.627)	Data 0.001 (0.004)	Loss 1.7754 (1.9953)	Prec@1 56.000 (48.301)	Prec@5 82.500 (78.783)
Epoch: [53][1940/9018]	Time 0.607 (0.627)	Data 0.001 (0.004)	Loss 1.9268 (1.9954)	Prec@1 50.000 (48.300)	Prec@5 79.000 (78.781)
Epoch: [53][1950/9018]	Time 0.614 (0.627)	Data 0.001 (0.004)	Loss 2.0546 (1.9953)	Prec@1 45.000 (48.293)	Prec@5 79.500 (78.785)
Epoch: [53][1960/9018]	Time 0.630 (0.627)	Data 0.001 (0.004)	Loss 1.9753 (1.9956)	Prec@1 45.000 (48.287)	Prec@5 80.500 (78.783)
Epoch: [53][1970/9018]	Time 0.625 (0.627)	Data 0.001 (0.004)	Loss 1.9144 (1.9953)	Prec@1 49.500 (48.298)	Prec@5 82.500 (78.784)
Epoch: [53][1980/9018]	Time 0.636 (0.627)	Data 0.001 (0.004)	Loss 2.0740 (1.9956)	Prec@1 47.500 (48.295)	Prec@5 76.000 (78.778)
Epoch: [53][1990/9018]	Time 0.610 (0.627)	Data 0.001 (0.004)	Loss 2.0182 (1.9959)	Prec@1 48.500 (48.290)	Prec@5 81.000 (78.772)
Epoch: [53][2000/9018]	Time 0.776 (0.627)	Data 0.001 (0.004)	Loss 1.8246 (1.9962)	Prec@1 51.000 (48.283)	Prec@5 83.000 (78.768)
Epoch: [53][2010/9018]	Time 0.611 (0.627)	Data 0.001 (0.004)	Loss 1.9439 (1.9962)	Prec@1 48.000 (48.278)	Prec@5 78.500 (78.768)
Epoch: [53][2020/9018]	Time 0.621 (0.627)	Data 0.001 (0.004)	Loss 2.2577 (1.9961)	Prec@1 43.000 (48.281)	Prec@5 74.000 (78.770)
Epoch: [53][2030/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 1.8355 (1.9963)	Prec@1 51.500 (48.272)	Prec@5 80.000 (78.764)
Epoch: [53][2040/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 1.7178 (1.9960)	Prec@1 50.000 (48.275)	Prec@5 82.500 (78.768)
Epoch: [53][2050/9018]	Time 0.737 (0.627)	Data 0.001 (0.004)	Loss 2.1062 (1.9961)	Prec@1 44.000 (48.267)	Prec@5 78.500 (78.771)
Epoch: [53][2060/9018]	Time 0.613 (0.627)	Data 0.001 (0.004)	Loss 2.0203 (1.9965)	Prec@1 53.500 (48.262)	Prec@5 78.000 (78.763)
Epoch: [53][2070/9018]	Time 0.605 (0.627)	Data 0.001 (0.004)	Loss 2.0170 (1.9965)	Prec@1 49.000 (48.268)	Prec@5 74.500 (78.761)
Epoch: [53][2080/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 1.9677 (1.9963)	Prec@1 50.000 (48.271)	Prec@5 78.500 (78.763)
Epoch: [53][2090/9018]	Time 0.627 (0.627)	Data 0.001 (0.004)	Loss 1.7705 (1.9964)	Prec@1 54.000 (48.274)	Prec@5 84.500 (78.763)
Epoch: [53][2100/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 2.0206 (1.9967)	Prec@1 45.500 (48.272)	Prec@5 78.000 (78.754)
Epoch: [53][2110/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 1.9206 (1.9966)	Prec@1 47.000 (48.263)	Prec@5 80.000 (78.756)
Epoch: [53][2120/9018]	Time 0.648 (0.627)	Data 0.001 (0.004)	Loss 1.9663 (1.9967)	Prec@1 49.000 (48.258)	Prec@5 76.000 (78.750)
Epoch: [53][2130/9018]	Time 0.605 (0.627)	Data 0.001 (0.004)	Loss 2.0532 (1.9969)	Prec@1 46.000 (48.256)	Prec@5 76.500 (78.744)
Epoch: [53][2140/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 1.9016 (1.9968)	Prec@1 53.000 (48.266)	Prec@5 78.500 (78.745)
Epoch: [53][2150/9018]	Time 0.643 (0.627)	Data 0.001 (0.003)	Loss 1.8969 (1.9967)	Prec@1 47.500 (48.269)	Prec@5 83.500 (78.749)
Epoch: [53][2160/9018]	Time 0.638 (0.627)	Data 0.001 (0.003)	Loss 1.9844 (1.9969)	Prec@1 44.500 (48.255)	Prec@5 78.500 (78.745)
Epoch: [53][2170/9018]	Time 0.640 (0.627)	Data 0.001 (0.003)	Loss 1.9387 (1.9968)	Prec@1 50.500 (48.255)	Prec@5 80.500 (78.747)
Epoch: [53][2180/9018]	Time 0.624 (0.627)	Data 0.002 (0.003)	Loss 2.0373 (1.9971)	Prec@1 48.000 (48.249)	Prec@5 76.000 (78.740)
Epoch: [53][2190/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 1.9546 (1.9971)	Prec@1 48.500 (48.249)	Prec@5 78.000 (78.741)
Epoch: [53][2200/9018]	Time 0.620 (0.627)	Data 0.001 (0.003)	Loss 2.0818 (1.9974)	Prec@1 47.500 (48.243)	Prec@5 75.000 (78.735)
Epoch: [53][2210/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 2.0345 (1.9975)	Prec@1 49.000 (48.242)	Prec@5 77.500 (78.735)
Epoch: [53][2220/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 2.1133 (1.9978)	Prec@1 45.500 (48.236)	Prec@5 79.000 (78.731)
Epoch: [53][2230/9018]	Time 0.616 (0.627)	Data 0.001 (0.003)	Loss 2.1344 (1.9981)	Prec@1 50.000 (48.242)	Prec@5 75.000 (78.721)
Epoch: [53][2240/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 1.8122 (1.9978)	Prec@1 51.000 (48.246)	Prec@5 83.500 (78.727)
Epoch: [53][2250/9018]	Time 0.635 (0.627)	Data 0.001 (0.003)	Loss 1.9776 (1.9978)	Prec@1 46.000 (48.249)	Prec@5 80.000 (78.730)
Epoch: [53][2260/9018]	Time 0.613 (0.627)	Data 0.001 (0.003)	Loss 1.9835 (1.9978)	Prec@1 51.500 (48.242)	Prec@5 77.000 (78.724)
Epoch: [53][2270/9018]	Time 0.625 (0.627)	Data 0.001 (0.003)	Loss 2.1819 (1.9978)	Prec@1 40.500 (48.240)	Prec@5 76.000 (78.731)
Epoch: [53][2280/9018]	Time 0.654 (0.627)	Data 0.003 (0.003)	Loss 2.0447 (1.9978)	Prec@1 49.000 (48.240)	Prec@5 77.000 (78.729)
Epoch: [53][2290/9018]	Time 0.598 (0.627)	Data 0.001 (0.003)	Loss 2.1345 (1.9978)	Prec@1 47.500 (48.232)	Prec@5 76.500 (78.730)
Epoch: [53][2300/9018]	Time 0.595 (0.627)	Data 0.001 (0.003)	Loss 1.8263 (1.9980)	Prec@1 50.500 (48.226)	Prec@5 78.500 (78.725)
Epoch: [53][2310/9018]	Time 0.599 (0.627)	Data 0.001 (0.003)	Loss 2.0126 (1.9978)	Prec@1 48.500 (48.232)	Prec@5 78.500 (78.725)
Epoch: [53][2320/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 2.3404 (1.9981)	Prec@1 40.000 (48.228)	Prec@5 70.500 (78.720)
Epoch: [53][2330/9018]	Time 0.778 (0.627)	Data 0.001 (0.003)	Loss 2.0215 (1.9984)	Prec@1 49.500 (48.221)	Prec@5 74.500 (78.712)
Epoch: [53][2340/9018]	Time 0.609 (0.627)	Data 0.004 (0.003)	Loss 2.0579 (1.9986)	Prec@1 47.500 (48.215)	Prec@5 77.000 (78.709)
Epoch: [53][2350/9018]	Time 0.626 (0.627)	Data 0.017 (0.003)	Loss 1.7357 (1.9985)	Prec@1 51.500 (48.212)	Prec@5 82.500 (78.714)
Epoch: [53][2360/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 2.0257 (1.9984)	Prec@1 45.500 (48.215)	Prec@5 81.000 (78.717)
Epoch: [53][2370/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 1.9438 (1.9985)	Prec@1 47.000 (48.215)	Prec@5 79.000 (78.713)
Epoch: [53][2380/9018]	Time 0.747 (0.627)	Data 0.001 (0.003)	Loss 2.1614 (1.9988)	Prec@1 46.500 (48.209)	Prec@5 77.500 (78.707)
Epoch: [53][2390/9018]	Time 0.610 (0.627)	Data 0.001 (0.003)	Loss 1.8650 (1.9988)	Prec@1 50.500 (48.214)	Prec@5 82.000 (78.708)
Epoch: [53][2400/9018]	Time 0.606 (0.627)	Data 0.001 (0.003)	Loss 1.9047 (1.9986)	Prec@1 49.000 (48.221)	Prec@5 81.500 (78.710)
Epoch: [53][2410/9018]	Time 0.625 (0.627)	Data 0.001 (0.003)	Loss 1.8488 (1.9985)	Prec@1 52.000 (48.225)	Prec@5 80.000 (78.712)
Epoch: [53][2420/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 2.0901 (1.9983)	Prec@1 47.000 (48.227)	Prec@5 76.500 (78.718)
Epoch: [53][2430/9018]	Time 0.635 (0.627)	Data 0.001 (0.003)	Loss 2.0282 (1.9983)	Prec@1 50.500 (48.226)	Prec@5 79.500 (78.717)
Epoch: [53][2440/9018]	Time 0.598 (0.627)	Data 0.001 (0.003)	Loss 2.1056 (1.9983)	Prec@1 47.000 (48.223)	Prec@5 75.000 (78.711)
Epoch: [53][2450/9018]	Time 0.611 (0.627)	Data 0.001 (0.003)	Loss 2.1658 (1.9984)	Prec@1 42.500 (48.218)	Prec@5 77.500 (78.712)
Epoch: [53][2460/9018]	Time 0.626 (0.627)	Data 0.001 (0.003)	Loss 2.1601 (1.9984)	Prec@1 46.500 (48.220)	Prec@5 72.500 (78.710)
Epoch: [53][2470/9018]	Time 0.610 (0.627)	Data 0.001 (0.003)	Loss 1.8760 (1.9985)	Prec@1 52.500 (48.217)	Prec@5 76.000 (78.708)
Epoch: [53][2480/9018]	Time 0.636 (0.627)	Data 0.001 (0.003)	Loss 1.9698 (1.9985)	Prec@1 50.500 (48.222)	Prec@5 78.000 (78.708)
Epoch: [53][2490/9018]	Time 0.603 (0.627)	Data 0.001 (0.003)	Loss 1.9921 (1.9985)	Prec@1 48.500 (48.217)	Prec@5 77.500 (78.711)
Epoch: [53][2500/9018]	Time 0.612 (0.627)	Data 0.001 (0.003)	Loss 2.1330 (1.9986)	Prec@1 46.500 (48.214)	Prec@5 78.000 (78.710)
Epoch: [53][2510/9018]	Time 0.611 (0.627)	Data 0.001 (0.003)	Loss 1.8316 (1.9982)	Prec@1 51.500 (48.220)	Prec@5 80.000 (78.713)
Epoch: [53][2520/9018]	Time 0.626 (0.627)	Data 0.001 (0.003)	Loss 2.3253 (1.9984)	Prec@1 44.000 (48.217)	Prec@5 73.000 (78.712)
Epoch: [53][2530/9018]	Time 0.635 (0.627)	Data 0.001 (0.003)	Loss 2.1776 (1.9987)	Prec@1 44.500 (48.209)	Prec@5 73.500 (78.706)
Epoch: [53][2540/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 1.8091 (1.9987)	Prec@1 52.000 (48.210)	Prec@5 81.500 (78.711)
Epoch: [53][2550/9018]	Time 0.636 (0.627)	Data 0.001 (0.003)	Loss 2.1354 (1.9988)	Prec@1 46.500 (48.209)	Prec@5 74.000 (78.705)
Epoch: [53][2560/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 1.9150 (1.9988)	Prec@1 48.000 (48.206)	Prec@5 80.500 (78.707)
Epoch: [53][2570/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 1.9474 (1.9990)	Prec@1 45.000 (48.201)	Prec@5 85.000 (78.707)
Epoch: [53][2580/9018]	Time 0.602 (0.627)	Data 0.001 (0.003)	Loss 1.9049 (1.9990)	Prec@1 51.000 (48.205)	Prec@5 80.500 (78.711)
Epoch: [53][2590/9018]	Time 0.643 (0.627)	Data 0.001 (0.003)	Loss 2.0651 (1.9991)	Prec@1 44.000 (48.202)	Prec@5 75.000 (78.708)
Epoch: [53][2600/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 2.1563 (1.9993)	Prec@1 43.500 (48.202)	Prec@5 77.000 (78.701)
Epoch: [53][2610/9018]	Time 0.602 (0.627)	Data 0.002 (0.003)	Loss 1.9690 (1.9995)	Prec@1 47.000 (48.195)	Prec@5 80.500 (78.700)
Epoch: [53][2620/9018]	Time 0.599 (0.627)	Data 0.001 (0.003)	Loss 1.8941 (1.9995)	Prec@1 51.500 (48.199)	Prec@5 80.500 (78.696)
Epoch: [53][2630/9018]	Time 0.611 (0.627)	Data 0.001 (0.003)	Loss 1.8501 (1.9994)	Prec@1 49.500 (48.200)	Prec@5 82.500 (78.695)
Epoch: [53][2640/9018]	Time 0.606 (0.627)	Data 0.001 (0.003)	Loss 1.9877 (1.9996)	Prec@1 47.500 (48.199)	Prec@5 77.500 (78.690)
Epoch: [53][2650/9018]	Time 0.646 (0.627)	Data 0.001 (0.003)	Loss 2.0064 (1.9996)	Prec@1 44.000 (48.198)	Prec@5 78.500 (78.688)
Epoch: [53][2660/9018]	Time 0.709 (0.627)	Data 0.001 (0.003)	Loss 1.8179 (1.9997)	Prec@1 48.500 (48.196)	Prec@5 80.000 (78.687)
Epoch: [53][2670/9018]	Time 0.657 (0.627)	Data 0.001 (0.003)	Loss 2.0553 (1.9996)	Prec@1 43.500 (48.193)	Prec@5 77.000 (78.686)
Epoch: [53][2680/9018]	Time 0.599 (0.627)	Data 0.001 (0.003)	Loss 1.9678 (1.9997)	Prec@1 49.500 (48.186)	Prec@5 77.500 (78.685)
Epoch: [53][2690/9018]	Time 0.601 (0.627)	Data 0.001 (0.003)	Loss 2.0813 (1.9999)	Prec@1 44.000 (48.180)	Prec@5 77.000 (78.681)
Epoch: [53][2700/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 2.0757 (2.0001)	Prec@1 43.000 (48.174)	Prec@5 78.500 (78.679)
Epoch: [53][2710/9018]	Time 0.729 (0.627)	Data 0.001 (0.003)	Loss 1.7631 (2.0003)	Prec@1 59.000 (48.177)	Prec@5 82.500 (78.677)
Epoch: [53][2720/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 2.3077 (2.0006)	Prec@1 44.000 (48.168)	Prec@5 73.000 (78.669)
Epoch: [53][2730/9018]	Time 0.604 (0.627)	Data 0.001 (0.003)	Loss 2.1794 (2.0007)	Prec@1 44.000 (48.164)	Prec@5 76.500 (78.668)
Epoch: [53][2740/9018]	Time 0.599 (0.627)	Data 0.001 (0.003)	Loss 2.0103 (2.0007)	Prec@1 48.000 (48.162)	Prec@5 80.500 (78.668)
Epoch: [53][2750/9018]	Time 0.612 (0.627)	Data 0.001 (0.003)	Loss 1.9547 (2.0008)	Prec@1 49.000 (48.157)	Prec@5 77.500 (78.665)
Epoch: [53][2760/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 2.4359 (2.0007)	Prec@1 39.500 (48.157)	Prec@5 74.000 (78.670)
Epoch: [53][2770/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 2.1003 (2.0007)	Prec@1 45.500 (48.157)	Prec@5 76.500 (78.670)
Epoch: [53][2780/9018]	Time 0.602 (0.627)	Data 0.001 (0.003)	Loss 1.9255 (2.0008)	Prec@1 47.000 (48.160)	Prec@5 80.000 (78.668)
Epoch: [53][2790/9018]	Time 0.638 (0.627)	Data 0.001 (0.003)	Loss 1.8751 (2.0006)	Prec@1 46.500 (48.161)	Prec@5 82.500 (78.671)
Epoch: [53][2800/9018]	Time 0.611 (0.627)	Data 0.001 (0.003)	Loss 1.9310 (2.0007)	Prec@1 52.000 (48.160)	Prec@5 77.000 (78.667)
Epoch: [53][2810/9018]	Time 0.632 (0.627)	Data 0.001 (0.003)	Loss 2.0176 (2.0006)	Prec@1 47.000 (48.161)	Prec@5 78.000 (78.670)
Epoch: [53][2820/9018]	Time 0.627 (0.627)	Data 0.001 (0.003)	Loss 2.1264 (2.0006)	Prec@1 45.500 (48.164)	Prec@5 79.500 (78.671)
Epoch: [53][2830/9018]	Time 0.638 (0.627)	Data 0.001 (0.003)	Loss 1.9519 (2.0005)	Prec@1 52.500 (48.164)	Prec@5 78.000 (78.674)
Epoch: [53][2840/9018]	Time 0.634 (0.627)	Data 0.001 (0.003)	Loss 1.8652 (2.0005)	Prec@1 48.000 (48.162)	Prec@5 81.000 (78.673)
Epoch: [53][2850/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.0916 (2.0004)	Prec@1 43.000 (48.167)	Prec@5 76.500 (78.676)
Epoch: [53][2860/9018]	Time 0.638 (0.627)	Data 0.001 (0.003)	Loss 1.9128 (2.0006)	Prec@1 49.500 (48.163)	Prec@5 80.000 (78.671)
Epoch: [53][2870/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 2.0198 (2.0009)	Prec@1 47.500 (48.163)	Prec@5 78.500 (78.668)
Epoch: [53][2880/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 2.0587 (2.0010)	Prec@1 50.000 (48.161)	Prec@5 76.000 (78.667)
Epoch: [53][2890/9018]	Time 0.609 (0.627)	Data 0.001 (0.003)	Loss 2.0261 (2.0012)	Prec@1 45.500 (48.160)	Prec@5 80.500 (78.667)
Epoch: [53][2900/9018]	Time 0.616 (0.627)	Data 0.001 (0.003)	Loss 2.1389 (2.0014)	Prec@1 42.500 (48.155)	Prec@5 77.000 (78.662)
Epoch: [53][2910/9018]	Time 0.635 (0.627)	Data 0.001 (0.003)	Loss 2.1096 (2.0013)	Prec@1 48.000 (48.161)	Prec@5 79.000 (78.665)
Epoch: [53][2920/9018]	Time 0.618 (0.627)	Data 0.001 (0.003)	Loss 2.0856 (2.0015)	Prec@1 48.500 (48.159)	Prec@5 72.500 (78.658)
Epoch: [53][2930/9018]	Time 0.610 (0.627)	Data 0.001 (0.003)	Loss 2.0301 (2.0016)	Prec@1 48.500 (48.160)	Prec@5 75.500 (78.654)
Epoch: [53][2940/9018]	Time 0.712 (0.627)	Data 0.001 (0.003)	Loss 1.9225 (2.0017)	Prec@1 51.000 (48.162)	Prec@5 79.500 (78.652)
Epoch: [53][2950/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 2.0008 (2.0016)	Prec@1 48.500 (48.168)	Prec@5 75.500 (78.652)
Epoch: [53][2960/9018]	Time 0.613 (0.627)	Data 0.001 (0.003)	Loss 2.0992 (2.0017)	Prec@1 47.000 (48.170)	Prec@5 78.000 (78.651)
Epoch: [53][2970/9018]	Time 0.593 (0.627)	Data 0.001 (0.003)	Loss 1.9344 (2.0019)	Prec@1 48.000 (48.169)	Prec@5 80.000 (78.649)
Epoch: [53][2980/9018]	Time 0.610 (0.627)	Data 0.001 (0.003)	Loss 1.9857 (2.0019)	Prec@1 47.000 (48.170)	Prec@5 81.000 (78.648)
Epoch: [53][2990/9018]	Time 0.771 (0.627)	Data 0.001 (0.003)	Loss 2.0383 (2.0021)	Prec@1 51.000 (48.168)	Prec@5 81.500 (78.645)
Epoch: [53][3000/9018]	Time 0.633 (0.627)	Data 0.001 (0.003)	Loss 2.2780 (2.0020)	Prec@1 45.000 (48.167)	Prec@5 76.000 (78.644)
Epoch: [53][3010/9018]	Time 0.629 (0.627)	Data 0.001 (0.003)	Loss 1.7332 (2.0018)	Prec@1 48.000 (48.171)	Prec@5 81.000 (78.648)
Epoch: [53][3020/9018]	Time 0.631 (0.627)	Data 0.001 (0.003)	Loss 1.8921 (2.0016)	Prec@1 49.000 (48.173)	Prec@5 79.000 (78.648)
Epoch: [53][3030/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 1.8973 (2.0017)	Prec@1 52.000 (48.171)	Prec@5 81.000 (78.647)
Epoch: [53][3040/9018]	Time 0.636 (0.627)	Data 0.001 (0.003)	Loss 2.1380 (2.0017)	Prec@1 47.000 (48.172)	Prec@5 73.000 (78.644)
Epoch: [53][3050/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 1.9952 (2.0016)	Prec@1 50.500 (48.171)	Prec@5 79.500 (78.647)
Epoch: [53][3060/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 1.9670 (2.0015)	Prec@1 47.500 (48.169)	Prec@5 78.500 (78.646)
Epoch: [53][3070/9018]	Time 0.640 (0.627)	Data 0.001 (0.003)	Loss 1.8060 (2.0013)	Prec@1 54.000 (48.175)	Prec@5 81.500 (78.651)
Epoch: [53][3080/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 1.9312 (2.0014)	Prec@1 49.000 (48.170)	Prec@5 80.500 (78.647)
Epoch: [53][3090/9018]	Time 0.599 (0.627)	Data 0.001 (0.003)	Loss 1.9912 (2.0014)	Prec@1 47.500 (48.173)	Prec@5 74.000 (78.644)
Epoch: [53][3100/9018]	Time 0.628 (0.627)	Data 0.001 (0.003)	Loss 2.0816 (2.0015)	Prec@1 45.500 (48.169)	Prec@5 78.500 (78.640)
Epoch: [53][3110/9018]	Time 0.626 (0.627)	Data 0.001 (0.003)	Loss 2.0094 (2.0014)	Prec@1 45.000 (48.168)	Prec@5 79.000 (78.645)
Epoch: [53][3120/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 2.1082 (2.0014)	Prec@1 47.000 (48.169)	Prec@5 75.500 (78.644)
Epoch: [53][3130/9018]	Time 0.622 (0.627)	Data 0.014 (0.003)	Loss 1.9055 (2.0014)	Prec@1 53.000 (48.169)	Prec@5 79.000 (78.643)
Epoch: [53][3140/9018]	Time 0.597 (0.627)	Data 0.001 (0.003)	Loss 1.9779 (2.0013)	Prec@1 48.000 (48.174)	Prec@5 82.000 (78.644)
Epoch: [53][3150/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 2.0644 (2.0014)	Prec@1 48.000 (48.178)	Prec@5 76.000 (78.639)
Epoch: [53][3160/9018]	Time 0.628 (0.627)	Data 0.001 (0.003)	Loss 1.9822 (2.0014)	Prec@1 49.000 (48.173)	Prec@5 79.500 (78.641)
Epoch: [53][3170/9018]	Time 0.598 (0.627)	Data 0.001 (0.003)	Loss 2.1072 (2.0015)	Prec@1 46.000 (48.172)	Prec@5 75.500 (78.640)
Epoch: [53][3180/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 1.8040 (2.0015)	Prec@1 49.500 (48.174)	Prec@5 84.500 (78.641)
Epoch: [53][3190/9018]	Time 0.600 (0.627)	Data 0.001 (0.003)	Loss 1.9340 (2.0014)	Prec@1 49.000 (48.175)	Prec@5 78.500 (78.641)
Epoch: [53][3200/9018]	Time 0.634 (0.627)	Data 0.001 (0.003)	Loss 2.0869 (2.0015)	Prec@1 42.500 (48.170)	Prec@5 79.500 (78.642)
Epoch: [53][3210/9018]	Time 0.627 (0.627)	Data 0.001 (0.003)	Loss 2.0460 (2.0015)	Prec@1 51.000 (48.169)	Prec@5 77.500 (78.639)
Epoch: [53][3220/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 1.9011 (2.0014)	Prec@1 46.000 (48.172)	Prec@5 83.000 (78.640)
Epoch: [53][3230/9018]	Time 0.616 (0.627)	Data 0.001 (0.003)	Loss 2.0841 (2.0016)	Prec@1 47.500 (48.168)	Prec@5 78.000 (78.638)
Epoch: [53][3240/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 1.6135 (2.0016)	Prec@1 57.000 (48.164)	Prec@5 82.000 (78.637)
Epoch: [53][3250/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 2.0801 (2.0016)	Prec@1 47.000 (48.159)	Prec@5 80.000 (78.640)
Epoch: [53][3260/9018]	Time 0.604 (0.627)	Data 0.001 (0.003)	Loss 1.9959 (2.0014)	Prec@1 47.500 (48.162)	Prec@5 79.000 (78.644)
Epoch: [53][3270/9018]	Time 0.761 (0.627)	Data 0.001 (0.003)	Loss 1.9987 (2.0016)	Prec@1 47.000 (48.158)	Prec@5 79.500 (78.639)
Epoch: [53][3280/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.1811 (2.0017)	Prec@1 48.000 (48.160)	Prec@5 75.000 (78.637)
Epoch: [53][3290/9018]	Time 0.613 (0.627)	Data 0.001 (0.003)	Loss 2.1260 (2.0017)	Prec@1 41.000 (48.160)	Prec@5 79.000 (78.636)
Epoch: [53][3300/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 1.7827 (2.0018)	Prec@1 52.000 (48.157)	Prec@5 82.500 (78.635)
Epoch: [53][3310/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 2.1552 (2.0017)	Prec@1 46.000 (48.155)	Prec@5 77.500 (78.638)
Epoch: [53][3320/9018]	Time 0.745 (0.627)	Data 0.001 (0.003)	Loss 2.1447 (2.0018)	Prec@1 41.500 (48.154)	Prec@5 77.000 (78.636)
Epoch: [53][3330/9018]	Time 0.612 (0.627)	Data 0.001 (0.003)	Loss 2.1755 (2.0020)	Prec@1 45.000 (48.148)	Prec@5 76.500 (78.631)
Epoch: [53][3340/9018]	Time 0.631 (0.627)	Data 0.001 (0.003)	Loss 1.9873 (2.0021)	Prec@1 46.500 (48.143)	Prec@5 79.000 (78.628)
Epoch: [53][3350/9018]	Time 0.613 (0.627)	Data 0.013 (0.003)	Loss 2.2940 (2.0022)	Prec@1 41.500 (48.144)	Prec@5 72.000 (78.628)
Epoch: [53][3360/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 2.3359 (2.0021)	Prec@1 43.500 (48.145)	Prec@5 73.000 (78.627)
Epoch: [53][3370/9018]	Time 0.602 (0.627)	Data 0.001 (0.003)	Loss 1.9503 (2.0020)	Prec@1 48.500 (48.149)	Prec@5 79.500 (78.629)
Epoch: [53][3380/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 1.7992 (2.0021)	Prec@1 51.000 (48.145)	Prec@5 81.500 (78.630)
Epoch: [53][3390/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.1977 (2.0023)	Prec@1 42.500 (48.142)	Prec@5 75.000 (78.625)
Epoch: [53][3400/9018]	Time 0.636 (0.627)	Data 0.001 (0.003)	Loss 2.0781 (2.0023)	Prec@1 45.000 (48.143)	Prec@5 76.000 (78.626)
Epoch: [53][3410/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 2.1527 (2.0024)	Prec@1 46.500 (48.142)	Prec@5 77.500 (78.623)
Epoch: [53][3420/9018]	Time 0.626 (0.627)	Data 0.001 (0.003)	Loss 1.8940 (2.0025)	Prec@1 52.000 (48.144)	Prec@5 82.500 (78.619)
Epoch: [53][3430/9018]	Time 0.611 (0.627)	Data 0.001 (0.003)	Loss 2.0736 (2.0025)	Prec@1 50.000 (48.143)	Prec@5 77.500 (78.620)
Epoch: [53][3440/9018]	Time 0.626 (0.627)	Data 0.001 (0.003)	Loss 2.2269 (2.0027)	Prec@1 39.500 (48.140)	Prec@5 75.500 (78.619)
Epoch: [53][3450/9018]	Time 0.628 (0.627)	Data 0.001 (0.003)	Loss 1.7968 (2.0027)	Prec@1 49.500 (48.141)	Prec@5 83.500 (78.619)
Epoch: [53][3460/9018]	Time 0.626 (0.627)	Data 0.001 (0.003)	Loss 1.8883 (2.0027)	Prec@1 52.000 (48.142)	Prec@5 80.000 (78.616)
Epoch: [53][3470/9018]	Time 0.628 (0.627)	Data 0.001 (0.003)	Loss 2.1762 (2.0030)	Prec@1 44.000 (48.136)	Prec@5 72.000 (78.610)
Epoch: [53][3480/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 2.0391 (2.0029)	Prec@1 46.500 (48.136)	Prec@5 79.000 (78.613)
Epoch: [53][3490/9018]	Time 0.603 (0.627)	Data 0.001 (0.003)	Loss 2.0690 (2.0029)	Prec@1 47.000 (48.133)	Prec@5 77.000 (78.614)
Epoch: [53][3500/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 1.8816 (2.0029)	Prec@1 51.000 (48.130)	Prec@5 83.000 (78.614)
Epoch: [53][3510/9018]	Time 0.595 (0.627)	Data 0.002 (0.003)	Loss 1.8483 (2.0031)	Prec@1 51.000 (48.126)	Prec@5 84.500 (78.609)
Epoch: [53][3520/9018]	Time 0.601 (0.627)	Data 0.001 (0.003)	Loss 2.0340 (2.0032)	Prec@1 50.500 (48.123)	Prec@5 76.500 (78.607)
Epoch: [53][3530/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 1.7357 (2.0031)	Prec@1 51.500 (48.123)	Prec@5 83.000 (78.608)
Epoch: [53][3540/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 2.0252 (2.0033)	Prec@1 45.500 (48.120)	Prec@5 78.000 (78.602)
Epoch: [53][3550/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 2.0942 (2.0034)	Prec@1 44.000 (48.117)	Prec@5 79.500 (78.602)
Epoch: [53][3560/9018]	Time 0.640 (0.627)	Data 0.001 (0.003)	Loss 1.9833 (2.0034)	Prec@1 46.000 (48.117)	Prec@5 77.000 (78.602)
Epoch: [53][3570/9018]	Time 0.640 (0.627)	Data 0.001 (0.003)	Loss 1.9087 (2.0032)	Prec@1 53.500 (48.125)	Prec@5 79.500 (78.603)
Epoch: [53][3580/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 1.8828 (2.0033)	Prec@1 52.500 (48.125)	Prec@5 81.000 (78.599)
Epoch: [53][3590/9018]	Time 0.613 (0.627)	Data 0.001 (0.003)	Loss 2.0275 (2.0034)	Prec@1 46.500 (48.123)	Prec@5 77.000 (78.598)
Epoch: [53][3600/9018]	Time 0.739 (0.627)	Data 0.001 (0.003)	Loss 2.0927 (2.0033)	Prec@1 47.000 (48.128)	Prec@5 79.500 (78.598)
Epoch: [53][3610/9018]	Time 0.601 (0.627)	Data 0.001 (0.003)	Loss 1.9181 (2.0032)	Prec@1 48.500 (48.131)	Prec@5 80.000 (78.599)
Epoch: [53][3620/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 1.9334 (2.0034)	Prec@1 49.000 (48.128)	Prec@5 83.000 (78.595)
Epoch: [53][3630/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 2.1367 (2.0034)	Prec@1 46.500 (48.129)	Prec@5 74.500 (78.594)
Epoch: [53][3640/9018]	Time 0.630 (0.627)	Data 0.001 (0.003)	Loss 2.1972 (2.0035)	Prec@1 44.000 (48.129)	Prec@5 75.000 (78.595)
Epoch: [53][3650/9018]	Time 0.761 (0.627)	Data 0.001 (0.003)	Loss 2.2513 (2.0036)	Prec@1 46.000 (48.129)	Prec@5 73.500 (78.591)
Epoch: [53][3660/9018]	Time 0.614 (0.627)	Data 0.008 (0.003)	Loss 2.1400 (2.0035)	Prec@1 43.000 (48.130)	Prec@5 74.500 (78.592)
Epoch: [53][3670/9018]	Time 0.627 (0.627)	Data 0.014 (0.003)	Loss 2.1398 (2.0037)	Prec@1 40.000 (48.126)	Prec@5 76.500 (78.590)
Epoch: [53][3680/9018]	Time 0.599 (0.627)	Data 0.017 (0.003)	Loss 1.9692 (2.0039)	Prec@1 49.500 (48.124)	Prec@5 81.500 (78.589)
Epoch: [53][3690/9018]	Time 0.618 (0.627)	Data 0.014 (0.003)	Loss 2.2549 (2.0040)	Prec@1 44.500 (48.122)	Prec@5 75.000 (78.586)
Epoch: [53][3700/9018]	Time 0.602 (0.627)	Data 0.001 (0.003)	Loss 2.1261 (2.0041)	Prec@1 46.000 (48.122)	Prec@5 76.000 (78.585)
Epoch: [53][3710/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 1.9600 (2.0039)	Prec@1 44.000 (48.124)	Prec@5 84.000 (78.589)
Epoch: [53][3720/9018]	Time 0.611 (0.627)	Data 0.014 (0.003)	Loss 2.0750 (2.0041)	Prec@1 47.000 (48.121)	Prec@5 77.500 (78.585)
Epoch: [53][3730/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 2.3714 (2.0042)	Prec@1 41.000 (48.121)	Prec@5 75.500 (78.584)
Epoch: [53][3740/9018]	Time 0.618 (0.627)	Data 0.001 (0.003)	Loss 1.9843 (2.0042)	Prec@1 48.000 (48.122)	Prec@5 78.000 (78.584)
Epoch: [53][3750/9018]	Time 0.620 (0.627)	Data 0.015 (0.003)	Loss 1.7523 (2.0043)	Prec@1 54.000 (48.126)	Prec@5 85.000 (78.584)
Epoch: [53][3760/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 2.0580 (2.0043)	Prec@1 48.000 (48.126)	Prec@5 77.000 (78.583)
Epoch: [53][3770/9018]	Time 0.615 (0.627)	Data 0.007 (0.003)	Loss 1.9958 (2.0042)	Prec@1 49.500 (48.127)	Prec@5 79.000 (78.585)
Epoch: [53][3780/9018]	Time 0.631 (0.627)	Data 0.001 (0.003)	Loss 1.9215 (2.0043)	Prec@1 51.500 (48.126)	Prec@5 82.000 (78.584)
Epoch: [53][3790/9018]	Time 0.622 (0.627)	Data 0.015 (0.003)	Loss 2.0764 (2.0044)	Prec@1 44.000 (48.122)	Prec@5 78.500 (78.582)
Epoch: [53][3800/9018]	Time 0.661 (0.627)	Data 0.001 (0.003)	Loss 1.9392 (2.0044)	Prec@1 51.000 (48.123)	Prec@5 78.000 (78.581)
Epoch: [53][3810/9018]	Time 0.605 (0.627)	Data 0.001 (0.003)	Loss 1.9475 (2.0044)	Prec@1 47.000 (48.122)	Prec@5 81.000 (78.584)
Epoch: [53][3820/9018]	Time 0.645 (0.627)	Data 0.001 (0.003)	Loss 1.9553 (2.0043)	Prec@1 51.000 (48.126)	Prec@5 81.000 (78.585)
Epoch: [53][3830/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 2.0199 (2.0042)	Prec@1 48.500 (48.128)	Prec@5 78.000 (78.589)
Epoch: [53][3840/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 2.0446 (2.0044)	Prec@1 44.500 (48.127)	Prec@5 76.000 (78.586)
Epoch: [53][3850/9018]	Time 0.605 (0.627)	Data 0.001 (0.003)	Loss 2.1878 (2.0045)	Prec@1 46.500 (48.128)	Prec@5 75.500 (78.585)
Epoch: [53][3860/9018]	Time 0.604 (0.627)	Data 0.001 (0.003)	Loss 1.9789 (2.0045)	Prec@1 49.500 (48.129)	Prec@5 80.500 (78.586)
Epoch: [53][3870/9018]	Time 0.616 (0.627)	Data 0.001 (0.003)	Loss 2.0152 (2.0046)	Prec@1 51.500 (48.126)	Prec@5 77.000 (78.586)
Epoch: [53][3880/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 1.8539 (2.0046)	Prec@1 50.500 (48.129)	Prec@5 83.500 (78.586)
Epoch: [53][3890/9018]	Time 0.613 (0.627)	Data 0.001 (0.003)	Loss 1.8962 (2.0046)	Prec@1 49.500 (48.129)	Prec@5 80.500 (78.585)
Epoch: [53][3900/9018]	Time 0.610 (0.627)	Data 0.001 (0.003)	Loss 1.8128 (2.0044)	Prec@1 53.500 (48.135)	Prec@5 82.500 (78.588)
Epoch: [53][3910/9018]	Time 0.599 (0.627)	Data 0.001 (0.003)	Loss 2.0298 (2.0044)	Prec@1 47.500 (48.136)	Prec@5 77.500 (78.585)
Epoch: [53][3920/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 1.8175 (2.0043)	Prec@1 56.000 (48.138)	Prec@5 82.500 (78.588)
Epoch: [53][3930/9018]	Time 0.769 (0.627)	Data 0.001 (0.003)	Loss 1.9067 (2.0044)	Prec@1 51.500 (48.138)	Prec@5 83.000 (78.588)
Epoch: [53][3940/9018]	Time 0.629 (0.627)	Data 0.004 (0.003)	Loss 1.8542 (2.0043)	Prec@1 52.000 (48.141)	Prec@5 82.000 (78.590)
Epoch: [53][3950/9018]	Time 0.605 (0.627)	Data 0.001 (0.003)	Loss 2.3854 (2.0045)	Prec@1 41.500 (48.139)	Prec@5 70.500 (78.584)
Epoch: [53][3960/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 2.1512 (2.0046)	Prec@1 45.000 (48.138)	Prec@5 78.000 (78.583)
Epoch: [53][3970/9018]	Time 0.599 (0.627)	Data 0.017 (0.003)	Loss 2.0537 (2.0049)	Prec@1 49.500 (48.137)	Prec@5 78.000 (78.578)
Epoch: [53][3980/9018]	Time 0.730 (0.627)	Data 0.001 (0.003)	Loss 1.9994 (2.0047)	Prec@1 43.500 (48.140)	Prec@5 78.000 (78.581)
Epoch: [53][3990/9018]	Time 0.648 (0.627)	Data 0.001 (0.003)	Loss 1.8922 (2.0049)	Prec@1 50.000 (48.134)	Prec@5 81.500 (78.577)
Epoch: [53][4000/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 2.1806 (2.0048)	Prec@1 49.500 (48.142)	Prec@5 72.500 (78.580)
Epoch: [53][4010/9018]	Time 0.626 (0.627)	Data 0.001 (0.003)	Loss 2.1660 (2.0048)	Prec@1 40.000 (48.139)	Prec@5 76.000 (78.577)
Epoch: [53][4020/9018]	Time 0.601 (0.627)	Data 0.001 (0.003)	Loss 2.2070 (2.0050)	Prec@1 45.500 (48.137)	Prec@5 75.500 (78.574)
Epoch: [53][4030/9018]	Time 0.601 (0.627)	Data 0.001 (0.003)	Loss 1.9872 (2.0050)	Prec@1 46.500 (48.140)	Prec@5 77.500 (78.574)
Epoch: [53][4040/9018]	Time 0.632 (0.627)	Data 0.001 (0.003)	Loss 1.9666 (2.0049)	Prec@1 48.500 (48.140)	Prec@5 80.500 (78.574)
Epoch: [53][4050/9018]	Time 0.656 (0.627)	Data 0.001 (0.003)	Loss 1.8653 (2.0048)	Prec@1 50.500 (48.145)	Prec@5 80.500 (78.578)
Epoch: [53][4060/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 1.8332 (2.0050)	Prec@1 50.500 (48.144)	Prec@5 79.500 (78.574)
Epoch: [53][4070/9018]	Time 0.596 (0.627)	Data 0.001 (0.003)	Loss 2.0280 (2.0050)	Prec@1 45.000 (48.138)	Prec@5 77.000 (78.572)
Epoch: [53][4080/9018]	Time 0.636 (0.627)	Data 0.001 (0.003)	Loss 1.9872 (2.0051)	Prec@1 48.000 (48.136)	Prec@5 80.000 (78.572)
Epoch: [53][4090/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 2.0324 (2.0052)	Prec@1 51.500 (48.136)	Prec@5 80.000 (78.569)
Epoch: [53][4100/9018]	Time 0.610 (0.627)	Data 0.001 (0.003)	Loss 1.9595 (2.0052)	Prec@1 45.500 (48.135)	Prec@5 82.000 (78.568)
Epoch: [53][4110/9018]	Time 0.622 (0.627)	Data 0.014 (0.003)	Loss 1.9394 (2.0053)	Prec@1 53.000 (48.131)	Prec@5 80.500 (78.566)
Epoch: [53][4120/9018]	Time 0.601 (0.627)	Data 0.001 (0.003)	Loss 2.0018 (2.0053)	Prec@1 49.000 (48.135)	Prec@5 80.000 (78.567)
Epoch: [53][4130/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 2.2196 (2.0053)	Prec@1 46.500 (48.138)	Prec@5 73.500 (78.566)
Epoch: [53][4140/9018]	Time 0.630 (0.627)	Data 0.001 (0.003)	Loss 1.9132 (2.0052)	Prec@1 55.500 (48.142)	Prec@5 80.500 (78.568)
Epoch: [53][4150/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 1.9359 (2.0051)	Prec@1 48.000 (48.141)	Prec@5 79.500 (78.570)
Epoch: [53][4160/9018]	Time 0.616 (0.627)	Data 0.001 (0.003)	Loss 2.1213 (2.0051)	Prec@1 44.500 (48.139)	Prec@5 77.000 (78.571)
Epoch: [53][4170/9018]	Time 0.636 (0.627)	Data 0.001 (0.003)	Loss 2.1064 (2.0052)	Prec@1 46.000 (48.138)	Prec@5 78.500 (78.569)
Epoch: [53][4180/9018]	Time 0.605 (0.627)	Data 0.001 (0.003)	Loss 1.9816 (2.0051)	Prec@1 48.000 (48.137)	Prec@5 79.000 (78.571)
Epoch: [53][4190/9018]	Time 0.627 (0.627)	Data 0.001 (0.003)	Loss 2.1896 (2.0051)	Prec@1 42.500 (48.135)	Prec@5 78.500 (78.572)
Epoch: [53][4200/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 1.8744 (2.0050)	Prec@1 55.000 (48.139)	Prec@5 81.500 (78.573)
Epoch: [53][4210/9018]	Time 0.635 (0.627)	Data 0.001 (0.003)	Loss 2.0192 (2.0050)	Prec@1 50.500 (48.139)	Prec@5 78.000 (78.573)
Epoch: [53][4220/9018]	Time 0.613 (0.627)	Data 0.001 (0.003)	Loss 2.1069 (2.0052)	Prec@1 48.000 (48.132)	Prec@5 80.500 (78.570)
Epoch: [53][4230/9018]	Time 0.638 (0.627)	Data 0.001 (0.003)	Loss 2.0735 (2.0053)	Prec@1 44.500 (48.132)	Prec@5 77.000 (78.567)
Epoch: [53][4240/9018]	Time 0.594 (0.627)	Data 0.001 (0.003)	Loss 1.6063 (2.0052)	Prec@1 58.000 (48.131)	Prec@5 85.500 (78.570)
Epoch: [53][4250/9018]	Time 0.625 (0.627)	Data 0.016 (0.003)	Loss 1.8309 (2.0050)	Prec@1 54.000 (48.136)	Prec@5 85.000 (78.573)
Epoch: [53][4260/9018]	Time 0.796 (0.627)	Data 0.001 (0.003)	Loss 1.9223 (2.0048)	Prec@1 48.000 (48.139)	Prec@5 81.000 (78.577)
Epoch: [53][4270/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 2.0411 (2.0047)	Prec@1 50.500 (48.145)	Prec@5 78.500 (78.578)
Epoch: [53][4280/9018]	Time 0.618 (0.627)	Data 0.001 (0.003)	Loss 1.9036 (2.0046)	Prec@1 54.000 (48.146)	Prec@5 82.000 (78.577)
Epoch: [53][4290/9018]	Time 0.637 (0.627)	Data 0.026 (0.003)	Loss 1.7713 (2.0045)	Prec@1 53.000 (48.152)	Prec@5 87.000 (78.582)
Epoch: [53][4300/9018]	Time 0.632 (0.627)	Data 0.001 (0.003)	Loss 2.1857 (2.0046)	Prec@1 46.000 (48.147)	Prec@5 77.500 (78.579)
Epoch: [53][4310/9018]	Time 0.772 (0.627)	Data 0.001 (0.003)	Loss 1.9640 (2.0047)	Prec@1 52.000 (48.147)	Prec@5 77.500 (78.578)
Epoch: [53][4320/9018]	Time 0.620 (0.627)	Data 0.001 (0.003)	Loss 2.1393 (2.0048)	Prec@1 44.000 (48.145)	Prec@5 77.500 (78.577)
Epoch: [53][4330/9018]	Time 0.610 (0.627)	Data 0.001 (0.003)	Loss 2.0691 (2.0050)	Prec@1 46.000 (48.141)	Prec@5 77.000 (78.572)
Epoch: [53][4340/9018]	Time 0.605 (0.627)	Data 0.001 (0.003)	Loss 2.0349 (2.0051)	Prec@1 44.000 (48.140)	Prec@5 77.000 (78.569)
Epoch: [53][4350/9018]	Time 0.599 (0.627)	Data 0.001 (0.003)	Loss 2.0399 (2.0050)	Prec@1 44.500 (48.142)	Prec@5 74.000 (78.568)
Epoch: [53][4360/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.0230 (2.0050)	Prec@1 44.500 (48.142)	Prec@5 76.500 (78.568)
Epoch: [53][4370/9018]	Time 0.629 (0.627)	Data 0.016 (0.003)	Loss 2.0265 (2.0050)	Prec@1 47.500 (48.142)	Prec@5 77.500 (78.565)
Epoch: [53][4380/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 1.9097 (2.0050)	Prec@1 51.000 (48.140)	Prec@5 78.500 (78.566)
Epoch: [53][4390/9018]	Time 0.600 (0.627)	Data 0.001 (0.003)	Loss 2.2480 (2.0052)	Prec@1 41.500 (48.136)	Prec@5 74.000 (78.561)
Epoch: [53][4400/9018]	Time 0.629 (0.627)	Data 0.001 (0.003)	Loss 2.2008 (2.0052)	Prec@1 43.000 (48.133)	Prec@5 77.000 (78.560)
Epoch: [53][4410/9018]	Time 0.648 (0.627)	Data 0.006 (0.003)	Loss 1.8942 (2.0051)	Prec@1 49.000 (48.133)	Prec@5 81.000 (78.563)
Epoch: [53][4420/9018]	Time 0.602 (0.627)	Data 0.001 (0.003)	Loss 2.0661 (2.0051)	Prec@1 46.500 (48.132)	Prec@5 77.000 (78.563)
Epoch: [53][4430/9018]	Time 0.602 (0.627)	Data 0.001 (0.003)	Loss 1.9098 (2.0051)	Prec@1 44.500 (48.133)	Prec@5 81.500 (78.563)
Epoch: [53][4440/9018]	Time 0.603 (0.627)	Data 0.001 (0.003)	Loss 1.8462 (2.0051)	Prec@1 47.000 (48.129)	Prec@5 81.000 (78.566)
Epoch: [53][4450/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 1.9398 (2.0051)	Prec@1 47.000 (48.131)	Prec@5 80.000 (78.566)
Epoch: [53][4460/9018]	Time 0.596 (0.627)	Data 0.001 (0.003)	Loss 1.9669 (2.0050)	Prec@1 50.000 (48.133)	Prec@5 80.500 (78.567)
Epoch: [53][4470/9018]	Time 0.600 (0.627)	Data 0.001 (0.003)	Loss 1.9883 (2.0051)	Prec@1 48.000 (48.133)	Prec@5 79.500 (78.565)
Epoch: [53][4480/9018]	Time 0.601 (0.627)	Data 0.001 (0.003)	Loss 2.0003 (2.0052)	Prec@1 46.000 (48.132)	Prec@5 78.000 (78.562)
Epoch: [53][4490/9018]	Time 0.606 (0.627)	Data 0.001 (0.003)	Loss 2.0399 (2.0051)	Prec@1 48.000 (48.134)	Prec@5 80.500 (78.563)
Epoch: [53][4500/9018]	Time 0.604 (0.627)	Data 0.001 (0.003)	Loss 2.2024 (2.0053)	Prec@1 42.500 (48.132)	Prec@5 78.500 (78.563)
Epoch: [53][4510/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 1.8946 (2.0053)	Prec@1 53.000 (48.132)	Prec@5 83.000 (78.563)
Epoch: [53][4520/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 1.8117 (2.0052)	Prec@1 51.500 (48.136)	Prec@5 85.000 (78.566)
Epoch: [53][4530/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 2.1720 (2.0053)	Prec@1 44.000 (48.132)	Prec@5 76.500 (78.563)
Epoch: [53][4540/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 1.8178 (2.0053)	Prec@1 53.000 (48.130)	Prec@5 80.000 (78.563)
Epoch: [53][4550/9018]	Time 0.609 (0.627)	Data 0.001 (0.003)	Loss 2.3065 (2.0055)	Prec@1 36.500 (48.127)	Prec@5 75.500 (78.559)
Epoch: [53][4560/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 1.8414 (2.0054)	Prec@1 50.000 (48.130)	Prec@5 80.500 (78.561)
Epoch: [53][4570/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.0685 (2.0055)	Prec@1 45.000 (48.128)	Prec@5 77.500 (78.557)
Epoch: [53][4580/9018]	Time 0.631 (0.626)	Data 0.001 (0.003)	Loss 1.9140 (2.0055)	Prec@1 51.500 (48.129)	Prec@5 81.000 (78.560)
Epoch: [53][4590/9018]	Time 0.779 (0.626)	Data 0.001 (0.003)	Loss 2.0537 (2.0054)	Prec@1 51.000 (48.131)	Prec@5 78.500 (78.563)
Epoch: [53][4600/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.8691 (2.0055)	Prec@1 45.500 (48.129)	Prec@5 82.000 (78.562)
Epoch: [53][4610/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.1383 (2.0056)	Prec@1 41.000 (48.126)	Prec@5 78.000 (78.563)
Epoch: [53][4620/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 1.9056 (2.0055)	Prec@1 51.500 (48.128)	Prec@5 78.500 (78.563)
Epoch: [53][4630/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 1.9503 (2.0056)	Prec@1 47.000 (48.126)	Prec@5 80.000 (78.560)
Epoch: [53][4640/9018]	Time 0.738 (0.626)	Data 0.001 (0.003)	Loss 1.9413 (2.0056)	Prec@1 55.500 (48.126)	Prec@5 78.500 (78.559)
Epoch: [53][4650/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.9292 (2.0056)	Prec@1 48.500 (48.126)	Prec@5 78.000 (78.555)
Epoch: [53][4660/9018]	Time 0.644 (0.626)	Data 0.001 (0.003)	Loss 1.9772 (2.0056)	Prec@1 47.500 (48.127)	Prec@5 78.500 (78.553)
Epoch: [53][4670/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.1087 (2.0055)	Prec@1 46.500 (48.129)	Prec@5 74.500 (78.553)
Epoch: [53][4680/9018]	Time 0.639 (0.626)	Data 0.002 (0.003)	Loss 1.9138 (2.0055)	Prec@1 48.500 (48.129)	Prec@5 79.500 (78.553)
Epoch: [53][4690/9018]	Time 0.633 (0.627)	Data 0.001 (0.003)	Loss 2.0102 (2.0056)	Prec@1 49.000 (48.127)	Prec@5 79.000 (78.551)
Epoch: [53][4700/9018]	Time 0.624 (0.627)	Data 0.002 (0.003)	Loss 1.8830 (2.0056)	Prec@1 50.000 (48.122)	Prec@5 82.000 (78.553)
Epoch: [53][4710/9018]	Time 0.620 (0.627)	Data 0.001 (0.003)	Loss 1.9248 (2.0056)	Prec@1 49.000 (48.125)	Prec@5 80.500 (78.553)
Epoch: [53][4720/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 1.7773 (2.0056)	Prec@1 54.500 (48.127)	Prec@5 85.000 (78.551)
Epoch: [53][4730/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.1257 (2.0058)	Prec@1 45.500 (48.125)	Prec@5 77.500 (78.548)
Epoch: [53][4740/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 2.1355 (2.0059)	Prec@1 45.000 (48.122)	Prec@5 77.000 (78.546)
Epoch: [53][4750/9018]	Time 0.598 (0.627)	Data 0.001 (0.003)	Loss 1.9577 (2.0061)	Prec@1 51.500 (48.122)	Prec@5 81.500 (78.543)
Epoch: [53][4760/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 1.9975 (2.0060)	Prec@1 48.000 (48.125)	Prec@5 80.500 (78.543)
Epoch: [53][4770/9018]	Time 0.636 (0.627)	Data 0.002 (0.003)	Loss 2.0716 (2.0061)	Prec@1 48.500 (48.123)	Prec@5 80.000 (78.542)
Epoch: [53][4780/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.1382 (2.0060)	Prec@1 49.500 (48.122)	Prec@5 76.000 (78.543)
Epoch: [53][4790/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 1.9578 (2.0059)	Prec@1 48.000 (48.123)	Prec@5 78.500 (78.548)
Epoch: [53][4800/9018]	Time 0.620 (0.627)	Data 0.001 (0.003)	Loss 2.0888 (2.0060)	Prec@1 49.000 (48.121)	Prec@5 76.500 (78.546)
Epoch: [53][4810/9018]	Time 0.613 (0.627)	Data 0.001 (0.003)	Loss 1.8856 (2.0061)	Prec@1 49.500 (48.119)	Prec@5 79.500 (78.545)
Epoch: [53][4820/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 2.1393 (2.0061)	Prec@1 45.000 (48.121)	Prec@5 75.000 (78.547)
Epoch: [53][4830/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 2.0797 (2.0061)	Prec@1 49.000 (48.119)	Prec@5 77.500 (78.548)
Epoch: [53][4840/9018]	Time 0.617 (0.627)	Data 0.002 (0.003)	Loss 1.9983 (2.0059)	Prec@1 51.500 (48.123)	Prec@5 80.500 (78.550)
Epoch: [53][4850/9018]	Time 0.604 (0.627)	Data 0.001 (0.003)	Loss 2.0995 (2.0059)	Prec@1 47.000 (48.122)	Prec@5 75.500 (78.549)
Epoch: [53][4860/9018]	Time 0.616 (0.627)	Data 0.001 (0.003)	Loss 1.9006 (2.0059)	Prec@1 47.500 (48.124)	Prec@5 81.000 (78.548)
Epoch: [53][4870/9018]	Time 0.600 (0.627)	Data 0.001 (0.003)	Loss 2.0466 (2.0060)	Prec@1 45.000 (48.123)	Prec@5 82.000 (78.545)
Epoch: [53][4880/9018]	Time 0.628 (0.627)	Data 0.001 (0.003)	Loss 1.7960 (2.0059)	Prec@1 54.500 (48.124)	Prec@5 81.500 (78.550)
Epoch: [53][4890/9018]	Time 0.600 (0.627)	Data 0.001 (0.003)	Loss 1.9226 (2.0058)	Prec@1 53.000 (48.126)	Prec@5 80.500 (78.550)
Epoch: [53][4900/9018]	Time 0.597 (0.627)	Data 0.001 (0.003)	Loss 2.0696 (2.0058)	Prec@1 48.500 (48.125)	Prec@5 78.500 (78.549)
Epoch: [53][4910/9018]	Time 0.603 (0.627)	Data 0.001 (0.003)	Loss 1.9941 (2.0059)	Prec@1 53.000 (48.125)	Prec@5 77.000 (78.548)
Epoch: [53][4920/9018]	Time 0.750 (0.627)	Data 0.001 (0.003)	Loss 1.9746 (2.0060)	Prec@1 50.000 (48.124)	Prec@5 81.500 (78.548)
Epoch: [53][4930/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.1484 (2.0059)	Prec@1 41.000 (48.127)	Prec@5 76.000 (78.550)
Epoch: [53][4940/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.9786 (2.0058)	Prec@1 49.500 (48.130)	Prec@5 78.000 (78.551)
Epoch: [53][4950/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 1.9989 (2.0059)	Prec@1 49.000 (48.129)	Prec@5 77.000 (78.550)
Epoch: [53][4960/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0322 (2.0060)	Prec@1 43.500 (48.124)	Prec@5 79.000 (78.548)
Epoch: [53][4970/9018]	Time 0.723 (0.626)	Data 0.001 (0.003)	Loss 2.0761 (2.0060)	Prec@1 49.500 (48.123)	Prec@5 78.500 (78.548)
Epoch: [53][4980/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.0523 (2.0061)	Prec@1 47.500 (48.121)	Prec@5 78.000 (78.549)
Epoch: [53][4990/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.0404 (2.0061)	Prec@1 45.500 (48.117)	Prec@5 80.000 (78.548)
Epoch: [53][5000/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.9918 (2.0063)	Prec@1 52.000 (48.116)	Prec@5 83.000 (78.543)
Epoch: [53][5010/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 2.2612 (2.0064)	Prec@1 44.500 (48.114)	Prec@5 75.000 (78.544)
Epoch: [53][5020/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 1.9261 (2.0064)	Prec@1 49.000 (48.111)	Prec@5 80.500 (78.544)
Epoch: [53][5030/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 1.9918 (2.0065)	Prec@1 48.000 (48.109)	Prec@5 80.500 (78.543)
Epoch: [53][5040/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.0612 (2.0065)	Prec@1 45.500 (48.111)	Prec@5 76.500 (78.543)
Epoch: [53][5050/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.9432 (2.0064)	Prec@1 55.000 (48.114)	Prec@5 79.000 (78.545)
Epoch: [53][5060/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 2.2974 (2.0064)	Prec@1 48.000 (48.114)	Prec@5 71.500 (78.544)
Epoch: [53][5070/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0437 (2.0065)	Prec@1 51.000 (48.113)	Prec@5 76.000 (78.543)
Epoch: [53][5080/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.0276 (2.0064)	Prec@1 48.500 (48.114)	Prec@5 79.000 (78.544)
Epoch: [53][5090/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.8983 (2.0064)	Prec@1 49.500 (48.115)	Prec@5 80.000 (78.544)
Epoch: [53][5100/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.0435 (2.0064)	Prec@1 48.500 (48.111)	Prec@5 76.500 (78.542)
Epoch: [53][5110/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 2.0016 (2.0064)	Prec@1 50.500 (48.113)	Prec@5 77.500 (78.544)
Epoch: [53][5120/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.2048 (2.0065)	Prec@1 44.500 (48.114)	Prec@5 75.500 (78.542)
Epoch: [53][5130/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 2.1037 (2.0065)	Prec@1 45.000 (48.110)	Prec@5 76.500 (78.542)
Epoch: [53][5140/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.9533 (2.0065)	Prec@1 50.000 (48.108)	Prec@5 78.500 (78.544)
Epoch: [53][5150/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.8355 (2.0065)	Prec@1 51.500 (48.108)	Prec@5 83.000 (78.542)
Epoch: [53][5160/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 1.9317 (2.0066)	Prec@1 49.500 (48.109)	Prec@5 79.500 (78.540)
Epoch: [53][5170/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 1.8332 (2.0066)	Prec@1 52.000 (48.106)	Prec@5 81.500 (78.539)
Epoch: [53][5180/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 1.9762 (2.0065)	Prec@1 51.500 (48.106)	Prec@5 77.000 (78.539)
Epoch: [53][5190/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.0551 (2.0066)	Prec@1 48.000 (48.104)	Prec@5 76.500 (78.539)
Epoch: [53][5200/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 2.1657 (2.0066)	Prec@1 45.000 (48.103)	Prec@5 75.500 (78.537)
Epoch: [53][5210/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 2.0477 (2.0066)	Prec@1 48.500 (48.101)	Prec@5 79.000 (78.536)
Epoch: [53][5220/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 1.9931 (2.0067)	Prec@1 50.500 (48.098)	Prec@5 78.000 (78.538)
Epoch: [53][5230/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.0666 (2.0068)	Prec@1 46.500 (48.096)	Prec@5 75.000 (78.538)
Epoch: [53][5240/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 1.8898 (2.0068)	Prec@1 48.000 (48.093)	Prec@5 78.500 (78.537)
Epoch: [53][5250/9018]	Time 0.723 (0.626)	Data 0.001 (0.003)	Loss 2.0817 (2.0067)	Prec@1 46.500 (48.095)	Prec@5 77.000 (78.539)
Epoch: [53][5260/9018]	Time 0.620 (0.626)	Data 0.005 (0.003)	Loss 1.8205 (2.0067)	Prec@1 56.000 (48.095)	Prec@5 82.000 (78.541)
Epoch: [53][5270/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 1.8449 (2.0067)	Prec@1 51.500 (48.090)	Prec@5 79.000 (78.539)
Epoch: [53][5280/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.1225 (2.0068)	Prec@1 45.000 (48.089)	Prec@5 79.000 (78.536)
Epoch: [53][5290/9018]	Time 0.597 (0.626)	Data 0.001 (0.003)	Loss 2.1479 (2.0069)	Prec@1 46.500 (48.086)	Prec@5 77.000 (78.537)
Epoch: [53][5300/9018]	Time 0.773 (0.626)	Data 0.001 (0.003)	Loss 2.3241 (2.0070)	Prec@1 40.000 (48.083)	Prec@5 72.500 (78.533)
Epoch: [53][5310/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.1514 (2.0072)	Prec@1 48.000 (48.081)	Prec@5 76.000 (78.532)
Epoch: [53][5320/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 1.9810 (2.0073)	Prec@1 50.000 (48.082)	Prec@5 76.000 (78.529)
Epoch: [53][5330/9018]	Time 0.609 (0.626)	Data 0.002 (0.003)	Loss 1.9007 (2.0073)	Prec@1 50.000 (48.081)	Prec@5 78.000 (78.527)
Epoch: [53][5340/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 1.9123 (2.0073)	Prec@1 50.500 (48.079)	Prec@5 82.000 (78.527)
Epoch: [53][5350/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.0248 (2.0073)	Prec@1 49.500 (48.083)	Prec@5 81.500 (78.528)
Epoch: [53][5360/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 2.0717 (2.0073)	Prec@1 48.000 (48.081)	Prec@5 80.000 (78.525)
Epoch: [53][5370/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 2.0655 (2.0073)	Prec@1 47.000 (48.082)	Prec@5 76.500 (78.525)
Epoch: [53][5380/9018]	Time 0.640 (0.626)	Data 0.001 (0.003)	Loss 2.2548 (2.0072)	Prec@1 45.000 (48.087)	Prec@5 73.500 (78.525)
Epoch: [53][5390/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.9001 (2.0071)	Prec@1 49.000 (48.088)	Prec@5 81.500 (78.529)
Epoch: [53][5400/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 2.0977 (2.0072)	Prec@1 43.500 (48.087)	Prec@5 82.000 (78.528)
Epoch: [53][5410/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 2.0442 (2.0073)	Prec@1 47.000 (48.084)	Prec@5 78.000 (78.526)
Epoch: [53][5420/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 2.0905 (2.0074)	Prec@1 47.000 (48.083)	Prec@5 76.500 (78.523)
Epoch: [53][5430/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 1.8661 (2.0074)	Prec@1 52.500 (48.085)	Prec@5 79.000 (78.523)
Epoch: [53][5440/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 1.8765 (2.0076)	Prec@1 49.000 (48.081)	Prec@5 83.500 (78.522)
Epoch: [53][5450/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 2.0442 (2.0076)	Prec@1 50.000 (48.082)	Prec@5 76.000 (78.520)
Epoch: [53][5460/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.9488 (2.0076)	Prec@1 49.000 (48.081)	Prec@5 78.500 (78.518)
Epoch: [53][5470/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 1.8008 (2.0075)	Prec@1 53.500 (48.085)	Prec@5 82.000 (78.521)
Epoch: [53][5480/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 1.9628 (2.0076)	Prec@1 48.000 (48.086)	Prec@5 81.500 (78.522)
Epoch: [53][5490/9018]	Time 0.623 (0.626)	Data 0.015 (0.003)	Loss 2.0572 (2.0075)	Prec@1 46.000 (48.086)	Prec@5 77.000 (78.521)
Epoch: [53][5500/9018]	Time 0.643 (0.626)	Data 0.001 (0.003)	Loss 1.9438 (2.0075)	Prec@1 48.500 (48.088)	Prec@5 79.000 (78.521)
Epoch: [53][5510/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.8904 (2.0075)	Prec@1 49.000 (48.087)	Prec@5 78.500 (78.521)
Epoch: [53][5520/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.2292 (2.0075)	Prec@1 41.000 (48.084)	Prec@5 78.000 (78.524)
Epoch: [53][5530/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 1.9881 (2.0075)	Prec@1 52.000 (48.084)	Prec@5 77.000 (78.523)
Epoch: [53][5540/9018]	Time 0.625 (0.626)	Data 0.013 (0.003)	Loss 1.9827 (2.0076)	Prec@1 51.500 (48.084)	Prec@5 80.500 (78.523)
Epoch: [53][5550/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 2.1107 (2.0076)	Prec@1 47.500 (48.084)	Prec@5 77.500 (78.526)
Epoch: [53][5560/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 1.8291 (2.0076)	Prec@1 49.500 (48.081)	Prec@5 82.000 (78.526)
Epoch: [53][5570/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 2.0616 (2.0077)	Prec@1 47.000 (48.078)	Prec@5 76.500 (78.523)
Epoch: [53][5580/9018]	Time 0.731 (0.626)	Data 0.001 (0.003)	Loss 2.0541 (2.0077)	Prec@1 48.000 (48.080)	Prec@5 78.500 (78.524)
Epoch: [53][5590/9018]	Time 0.631 (0.626)	Data 0.001 (0.003)	Loss 2.1045 (2.0077)	Prec@1 47.000 (48.081)	Prec@5 78.000 (78.524)
Epoch: [53][5600/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 2.0912 (2.0078)	Prec@1 47.000 (48.080)	Prec@5 76.000 (78.521)
Epoch: [53][5610/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 1.9990 (2.0077)	Prec@1 47.000 (48.082)	Prec@5 76.000 (78.519)
Epoch: [53][5620/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 1.9213 (2.0077)	Prec@1 48.000 (48.082)	Prec@5 83.000 (78.519)
Epoch: [53][5630/9018]	Time 0.807 (0.626)	Data 0.001 (0.003)	Loss 2.0222 (2.0077)	Prec@1 49.500 (48.083)	Prec@5 75.000 (78.517)
Epoch: [53][5640/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.0718 (2.0077)	Prec@1 47.500 (48.086)	Prec@5 75.000 (78.516)
Epoch: [53][5650/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 2.1222 (2.0077)	Prec@1 42.000 (48.085)	Prec@5 75.000 (78.518)
Epoch: [53][5660/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.1184 (2.0076)	Prec@1 44.000 (48.088)	Prec@5 76.500 (78.518)
Epoch: [53][5670/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.9307 (2.0076)	Prec@1 53.500 (48.087)	Prec@5 79.500 (78.518)
Epoch: [53][5680/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.2020 (2.0075)	Prec@1 45.000 (48.090)	Prec@5 74.500 (78.521)
Epoch: [53][5690/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 1.9140 (2.0075)	Prec@1 49.500 (48.090)	Prec@5 82.000 (78.521)
Epoch: [53][5700/9018]	Time 0.637 (0.626)	Data 0.014 (0.003)	Loss 1.8141 (2.0076)	Prec@1 48.500 (48.089)	Prec@5 81.500 (78.521)
Epoch: [53][5710/9018]	Time 0.610 (0.626)	Data 0.013 (0.003)	Loss 2.1996 (2.0077)	Prec@1 45.500 (48.088)	Prec@5 75.500 (78.521)
Epoch: [53][5720/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.9829 (2.0077)	Prec@1 49.500 (48.089)	Prec@5 79.000 (78.521)
Epoch: [53][5730/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.0760 (2.0077)	Prec@1 45.500 (48.086)	Prec@5 76.500 (78.520)
Epoch: [53][5740/9018]	Time 0.644 (0.626)	Data 0.001 (0.003)	Loss 1.8971 (2.0078)	Prec@1 49.000 (48.082)	Prec@5 83.000 (78.518)
Epoch: [53][5750/9018]	Time 0.635 (0.626)	Data 0.013 (0.003)	Loss 1.9309 (2.0078)	Prec@1 52.500 (48.083)	Prec@5 78.500 (78.515)
Epoch: [53][5760/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 2.0743 (2.0078)	Prec@1 46.000 (48.085)	Prec@5 78.000 (78.515)
Epoch: [53][5770/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0190 (2.0079)	Prec@1 48.500 (48.084)	Prec@5 74.000 (78.513)
Epoch: [53][5780/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.1023 (2.0079)	Prec@1 50.000 (48.084)	Prec@5 78.000 (78.510)
Epoch: [53][5790/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.0091 (2.0080)	Prec@1 46.500 (48.083)	Prec@5 78.500 (78.510)
Epoch: [53][5800/9018]	Time 0.634 (0.626)	Data 0.001 (0.003)	Loss 2.0595 (2.0081)	Prec@1 46.500 (48.082)	Prec@5 77.000 (78.509)
Epoch: [53][5810/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.9965 (2.0080)	Prec@1 48.000 (48.084)	Prec@5 77.000 (78.511)
Epoch: [53][5820/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.1775 (2.0080)	Prec@1 49.500 (48.086)	Prec@5 74.500 (78.510)
Epoch: [53][5830/9018]	Time 0.635 (0.626)	Data 0.005 (0.003)	Loss 1.8130 (2.0080)	Prec@1 51.500 (48.085)	Prec@5 82.000 (78.508)
Epoch: [53][5840/9018]	Time 0.615 (0.626)	Data 0.005 (0.003)	Loss 2.0510 (2.0081)	Prec@1 43.500 (48.084)	Prec@5 77.500 (78.508)
Epoch: [53][5850/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.0426 (2.0082)	Prec@1 46.500 (48.081)	Prec@5 76.000 (78.509)
Epoch: [53][5860/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 2.0913 (2.0082)	Prec@1 46.500 (48.080)	Prec@5 78.500 (78.508)
Epoch: [53][5870/9018]	Time 0.618 (0.626)	Data 0.015 (0.003)	Loss 1.8070 (2.0082)	Prec@1 52.000 (48.078)	Prec@5 83.500 (78.506)
Epoch: [53][5880/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 2.3089 (2.0082)	Prec@1 46.500 (48.079)	Prec@5 72.500 (78.508)
Epoch: [53][5890/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 2.0491 (2.0083)	Prec@1 47.000 (48.076)	Prec@5 78.000 (78.506)
Epoch: [53][5900/9018]	Time 0.640 (0.626)	Data 0.015 (0.003)	Loss 2.0643 (2.0084)	Prec@1 44.500 (48.073)	Prec@5 78.000 (78.504)
Epoch: [53][5910/9018]	Time 0.722 (0.626)	Data 0.001 (0.003)	Loss 1.8873 (2.0084)	Prec@1 54.000 (48.074)	Prec@5 81.500 (78.504)
Epoch: [53][5920/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.0661 (2.0083)	Prec@1 50.500 (48.074)	Prec@5 80.500 (78.505)
Epoch: [53][5930/9018]	Time 0.645 (0.626)	Data 0.001 (0.003)	Loss 2.0318 (2.0083)	Prec@1 52.000 (48.074)	Prec@5 75.500 (78.503)
Epoch: [53][5940/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 2.1581 (2.0083)	Prec@1 45.000 (48.074)	Prec@5 77.500 (78.503)
Epoch: [53][5950/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.9477 (2.0081)	Prec@1 51.500 (48.077)	Prec@5 78.000 (78.506)
Epoch: [53][5960/9018]	Time 0.759 (0.626)	Data 0.001 (0.003)	Loss 2.1383 (2.0081)	Prec@1 49.500 (48.080)	Prec@5 74.500 (78.506)
Epoch: [53][5970/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.1084 (2.0081)	Prec@1 43.500 (48.083)	Prec@5 74.500 (78.507)
Epoch: [53][5980/9018]	Time 0.602 (0.626)	Data 0.002 (0.003)	Loss 2.3130 (2.0080)	Prec@1 42.500 (48.085)	Prec@5 72.000 (78.507)
Epoch: [53][5990/9018]	Time 0.597 (0.626)	Data 0.001 (0.003)	Loss 1.9881 (2.0080)	Prec@1 47.000 (48.087)	Prec@5 80.000 (78.508)
Epoch: [53][6000/9018]	Time 0.621 (0.626)	Data 0.009 (0.003)	Loss 1.9147 (2.0080)	Prec@1 50.500 (48.087)	Prec@5 84.000 (78.509)
Epoch: [53][6010/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.0216 (2.0080)	Prec@1 49.500 (48.085)	Prec@5 79.000 (78.507)
Epoch: [53][6020/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.9190 (2.0080)	Prec@1 50.500 (48.086)	Prec@5 80.000 (78.508)
Epoch: [53][6030/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 2.1461 (2.0081)	Prec@1 43.000 (48.083)	Prec@5 78.000 (78.506)
Epoch: [53][6040/9018]	Time 0.640 (0.626)	Data 0.014 (0.003)	Loss 1.8903 (2.0082)	Prec@1 51.500 (48.085)	Prec@5 80.500 (78.503)
Epoch: [53][6050/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 2.0000 (2.0082)	Prec@1 50.000 (48.085)	Prec@5 79.000 (78.503)
Epoch: [53][6060/9018]	Time 0.632 (0.626)	Data 0.015 (0.003)	Loss 2.0257 (2.0082)	Prec@1 49.000 (48.083)	Prec@5 79.500 (78.502)
Epoch: [53][6070/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 1.9821 (2.0082)	Prec@1 49.500 (48.082)	Prec@5 79.500 (78.502)
Epoch: [53][6080/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 1.8627 (2.0082)	Prec@1 47.500 (48.082)	Prec@5 84.000 (78.504)
Epoch: [53][6090/9018]	Time 0.592 (0.626)	Data 0.001 (0.003)	Loss 2.0621 (2.0082)	Prec@1 45.500 (48.082)	Prec@5 77.000 (78.504)
Epoch: [53][6100/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.8198 (2.0082)	Prec@1 47.500 (48.079)	Prec@5 80.500 (78.503)
Epoch: [53][6110/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 2.0281 (2.0082)	Prec@1 44.000 (48.081)	Prec@5 82.000 (78.504)
Epoch: [53][6120/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.2050 (2.0082)	Prec@1 46.500 (48.080)	Prec@5 75.500 (78.502)
Epoch: [53][6130/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 2.1835 (2.0083)	Prec@1 41.500 (48.077)	Prec@5 75.000 (78.500)
Epoch: [53][6140/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 1.8028 (2.0082)	Prec@1 50.500 (48.079)	Prec@5 82.000 (78.502)
Epoch: [53][6150/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 1.8019 (2.0083)	Prec@1 51.500 (48.078)	Prec@5 83.000 (78.500)
Epoch: [53][6160/9018]	Time 0.659 (0.626)	Data 0.001 (0.003)	Loss 2.0031 (2.0084)	Prec@1 44.500 (48.076)	Prec@5 78.000 (78.497)
Epoch: [53][6170/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.1289 (2.0085)	Prec@1 44.000 (48.071)	Prec@5 75.500 (78.494)
Epoch: [53][6180/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 2.2423 (2.0086)	Prec@1 45.000 (48.074)	Prec@5 73.000 (78.492)
Epoch: [53][6190/9018]	Time 0.636 (0.626)	Data 0.001 (0.003)	Loss 1.8533 (2.0085)	Prec@1 55.000 (48.075)	Prec@5 77.500 (78.492)
Epoch: [53][6200/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 1.8438 (2.0085)	Prec@1 53.500 (48.074)	Prec@5 80.000 (78.493)
Epoch: [53][6210/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.1323 (2.0086)	Prec@1 46.000 (48.071)	Prec@5 78.000 (78.492)
Epoch: [53][6220/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 2.0370 (2.0087)	Prec@1 50.500 (48.071)	Prec@5 77.000 (78.491)
Epoch: [53][6230/9018]	Time 0.653 (0.626)	Data 0.001 (0.003)	Loss 2.0345 (2.0086)	Prec@1 48.000 (48.072)	Prec@5 78.500 (78.491)
Epoch: [53][6240/9018]	Time 0.751 (0.626)	Data 0.001 (0.003)	Loss 1.9842 (2.0086)	Prec@1 46.500 (48.071)	Prec@5 80.000 (78.490)
Epoch: [53][6250/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.1425 (2.0086)	Prec@1 44.500 (48.071)	Prec@5 76.000 (78.492)
Epoch: [53][6260/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 1.9447 (2.0084)	Prec@1 48.000 (48.073)	Prec@5 79.500 (78.493)
Epoch: [53][6270/9018]	Time 0.607 (0.626)	Data 0.006 (0.003)	Loss 2.0924 (2.0084)	Prec@1 51.000 (48.073)	Prec@5 75.000 (78.493)
Epoch: [53][6280/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 1.9261 (2.0084)	Prec@1 45.500 (48.074)	Prec@5 79.500 (78.493)
Epoch: [53][6290/9018]	Time 0.719 (0.626)	Data 0.001 (0.003)	Loss 1.8876 (2.0084)	Prec@1 46.500 (48.074)	Prec@5 81.000 (78.494)
Epoch: [53][6300/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.0856 (2.0084)	Prec@1 48.000 (48.073)	Prec@5 75.000 (78.494)
Epoch: [53][6310/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.8879 (2.0084)	Prec@1 52.000 (48.072)	Prec@5 78.500 (78.493)
Epoch: [53][6320/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 2.0270 (2.0084)	Prec@1 50.000 (48.073)	Prec@5 79.500 (78.493)
Epoch: [53][6330/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 2.0067 (2.0084)	Prec@1 50.000 (48.072)	Prec@5 78.500 (78.493)
Epoch: [53][6340/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 2.0854 (2.0084)	Prec@1 47.000 (48.071)	Prec@5 77.500 (78.492)
Epoch: [53][6350/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 2.0472 (2.0084)	Prec@1 44.500 (48.071)	Prec@5 79.000 (78.493)
Epoch: [53][6360/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 2.0563 (2.0085)	Prec@1 50.500 (48.070)	Prec@5 78.500 (78.492)
Epoch: [53][6370/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.1069 (2.0086)	Prec@1 43.000 (48.070)	Prec@5 78.000 (78.492)
Epoch: [53][6380/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.9480 (2.0085)	Prec@1 46.000 (48.069)	Prec@5 79.500 (78.494)
Epoch: [53][6390/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 2.0790 (2.0086)	Prec@1 41.000 (48.066)	Prec@5 80.000 (78.493)
Epoch: [53][6400/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 1.8768 (2.0087)	Prec@1 48.000 (48.066)	Prec@5 83.000 (78.491)
Epoch: [53][6410/9018]	Time 0.626 (0.626)	Data 0.014 (0.003)	Loss 2.1109 (2.0088)	Prec@1 49.000 (48.062)	Prec@5 79.000 (78.490)
Epoch: [53][6420/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0057 (2.0089)	Prec@1 45.000 (48.060)	Prec@5 75.000 (78.489)
Epoch: [53][6430/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.9399 (2.0089)	Prec@1 49.500 (48.060)	Prec@5 79.000 (78.489)
Epoch: [53][6440/9018]	Time 0.632 (0.626)	Data 0.001 (0.003)	Loss 1.7121 (2.0087)	Prec@1 55.000 (48.063)	Prec@5 86.500 (78.491)
Epoch: [53][6450/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.1850 (2.0089)	Prec@1 43.000 (48.060)	Prec@5 75.500 (78.489)
Epoch: [53][6460/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.9751 (2.0089)	Prec@1 47.000 (48.060)	Prec@5 78.000 (78.489)
Epoch: [53][6470/9018]	Time 0.628 (0.626)	Data 0.004 (0.003)	Loss 2.0954 (2.0089)	Prec@1 46.000 (48.057)	Prec@5 77.000 (78.488)
Epoch: [53][6480/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.0843 (2.0090)	Prec@1 49.500 (48.054)	Prec@5 76.500 (78.487)
Epoch: [53][6490/9018]	Time 0.611 (0.626)	Data 0.014 (0.003)	Loss 2.0833 (2.0091)	Prec@1 45.500 (48.051)	Prec@5 80.000 (78.485)
Epoch: [53][6500/9018]	Time 0.636 (0.626)	Data 0.016 (0.003)	Loss 2.2211 (2.0092)	Prec@1 41.000 (48.049)	Prec@5 78.000 (78.485)
Epoch: [53][6510/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.1381 (2.0092)	Prec@1 48.500 (48.050)	Prec@5 78.000 (78.484)
Epoch: [53][6520/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 2.0041 (2.0091)	Prec@1 47.000 (48.053)	Prec@5 77.500 (78.486)
Epoch: [53][6530/9018]	Time 0.589 (0.626)	Data 0.001 (0.003)	Loss 2.0896 (2.0091)	Prec@1 49.000 (48.053)	Prec@5 79.000 (78.486)
Epoch: [53][6540/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 2.0868 (2.0091)	Prec@1 47.000 (48.054)	Prec@5 76.000 (78.486)
Epoch: [53][6550/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.9704 (2.0091)	Prec@1 49.500 (48.054)	Prec@5 81.000 (78.487)
Epoch: [53][6560/9018]	Time 0.631 (0.626)	Data 0.013 (0.003)	Loss 1.8112 (2.0091)	Prec@1 52.500 (48.053)	Prec@5 82.000 (78.488)
Epoch: [53][6570/9018]	Time 0.763 (0.626)	Data 0.001 (0.003)	Loss 2.1174 (2.0092)	Prec@1 44.000 (48.052)	Prec@5 76.000 (78.487)
Epoch: [53][6580/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.1679 (2.0092)	Prec@1 45.500 (48.052)	Prec@5 75.500 (78.487)
Epoch: [53][6590/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 2.0234 (2.0092)	Prec@1 49.500 (48.054)	Prec@5 77.500 (78.487)
Epoch: [53][6600/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.1609 (2.0091)	Prec@1 46.500 (48.055)	Prec@5 74.000 (78.487)
Epoch: [53][6610/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 2.1406 (2.0090)	Prec@1 47.500 (48.058)	Prec@5 73.000 (78.487)
Epoch: [53][6620/9018]	Time 0.735 (0.626)	Data 0.001 (0.003)	Loss 1.9572 (2.0090)	Prec@1 50.000 (48.060)	Prec@5 79.500 (78.487)
Epoch: [53][6630/9018]	Time 0.670 (0.626)	Data 0.001 (0.003)	Loss 2.0872 (2.0092)	Prec@1 48.000 (48.057)	Prec@5 76.500 (78.485)
Epoch: [53][6640/9018]	Time 0.609 (0.626)	Data 0.008 (0.003)	Loss 1.9066 (2.0092)	Prec@1 49.000 (48.057)	Prec@5 79.000 (78.486)
Epoch: [53][6650/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 1.9385 (2.0092)	Prec@1 49.500 (48.057)	Prec@5 79.000 (78.486)
Epoch: [53][6660/9018]	Time 0.604 (0.626)	Data 0.017 (0.003)	Loss 2.0680 (2.0093)	Prec@1 48.000 (48.056)	Prec@5 75.500 (78.485)
Epoch: [53][6670/9018]	Time 0.594 (0.626)	Data 0.001 (0.003)	Loss 1.9829 (2.0093)	Prec@1 54.000 (48.058)	Prec@5 78.000 (78.485)
Epoch: [53][6680/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.0248 (2.0093)	Prec@1 51.000 (48.059)	Prec@5 76.000 (78.483)
Epoch: [53][6690/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 1.8830 (2.0092)	Prec@1 46.500 (48.059)	Prec@5 83.000 (78.484)
Epoch: [53][6700/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 1.9709 (2.0093)	Prec@1 51.500 (48.058)	Prec@5 82.500 (78.484)
Epoch: [53][6710/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.1440 (2.0094)	Prec@1 44.000 (48.058)	Prec@5 77.500 (78.483)
Epoch: [53][6720/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 1.9970 (2.0093)	Prec@1 44.500 (48.059)	Prec@5 76.000 (78.483)
Epoch: [53][6730/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 2.0712 (2.0093)	Prec@1 46.500 (48.060)	Prec@5 78.500 (78.485)
Epoch: [53][6740/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 1.8493 (2.0093)	Prec@1 48.000 (48.058)	Prec@5 80.500 (78.485)
Epoch: [53][6750/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 2.2575 (2.0094)	Prec@1 44.500 (48.058)	Prec@5 74.500 (78.483)
Epoch: [53][6760/9018]	Time 0.648 (0.626)	Data 0.015 (0.003)	Loss 2.0816 (2.0094)	Prec@1 44.000 (48.057)	Prec@5 76.000 (78.483)
Epoch: [53][6770/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.9197 (2.0095)	Prec@1 44.000 (48.056)	Prec@5 80.500 (78.481)
Epoch: [53][6780/9018]	Time 0.607 (0.626)	Data 0.018 (0.003)	Loss 1.8539 (2.0095)	Prec@1 53.000 (48.056)	Prec@5 81.500 (78.481)
Epoch: [53][6790/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 2.0250 (2.0094)	Prec@1 41.000 (48.056)	Prec@5 79.500 (78.481)
Epoch: [53][6800/9018]	Time 0.629 (0.626)	Data 0.014 (0.003)	Loss 1.9621 (2.0094)	Prec@1 50.000 (48.057)	Prec@5 79.500 (78.483)
Epoch: [53][6810/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.1272 (2.0094)	Prec@1 47.500 (48.055)	Prec@5 75.500 (78.483)
Epoch: [53][6820/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 2.1258 (2.0094)	Prec@1 44.000 (48.053)	Prec@5 75.000 (78.483)
Epoch: [53][6830/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.8723 (2.0095)	Prec@1 50.500 (48.051)	Prec@5 82.500 (78.483)
Epoch: [53][6840/9018]	Time 0.606 (0.626)	Data 0.015 (0.003)	Loss 2.0207 (2.0095)	Prec@1 45.000 (48.050)	Prec@5 79.000 (78.482)
Epoch: [53][6850/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 2.1741 (2.0096)	Prec@1 43.000 (48.049)	Prec@5 76.000 (78.481)
Epoch: [53][6860/9018]	Time 0.637 (0.626)	Data 0.001 (0.003)	Loss 1.9478 (2.0096)	Prec@1 47.000 (48.049)	Prec@5 80.000 (78.482)
Epoch: [53][6870/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.8969 (2.0096)	Prec@1 51.500 (48.049)	Prec@5 80.500 (78.482)
Epoch: [53][6880/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.1350 (2.0096)	Prec@1 39.500 (48.047)	Prec@5 79.500 (78.480)
Epoch: [53][6890/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 2.1397 (2.0096)	Prec@1 42.500 (48.046)	Prec@5 74.000 (78.480)
Epoch: [53][6900/9018]	Time 0.792 (0.626)	Data 0.001 (0.003)	Loss 2.0685 (2.0096)	Prec@1 47.500 (48.047)	Prec@5 77.000 (78.481)
Epoch: [53][6910/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 1.9809 (2.0096)	Prec@1 52.000 (48.049)	Prec@5 81.000 (78.481)
Epoch: [53][6920/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 1.9401 (2.0096)	Prec@1 50.000 (48.048)	Prec@5 78.000 (78.482)
Epoch: [53][6930/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.7866 (2.0096)	Prec@1 52.000 (48.046)	Prec@5 81.000 (78.481)
Epoch: [53][6940/9018]	Time 0.639 (0.626)	Data 0.001 (0.003)	Loss 1.9408 (2.0096)	Prec@1 47.500 (48.045)	Prec@5 82.500 (78.481)
Epoch: [53][6950/9018]	Time 0.735 (0.626)	Data 0.001 (0.003)	Loss 1.7238 (2.0096)	Prec@1 54.500 (48.046)	Prec@5 82.500 (78.481)
Epoch: [53][6960/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 2.1424 (2.0096)	Prec@1 46.500 (48.046)	Prec@5 77.500 (78.479)
Epoch: [53][6970/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.9085 (2.0098)	Prec@1 50.000 (48.043)	Prec@5 80.000 (78.478)
Epoch: [53][6980/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.0272 (2.0098)	Prec@1 46.500 (48.042)	Prec@5 77.000 (78.478)
Epoch: [53][6990/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.8744 (2.0098)	Prec@1 50.000 (48.040)	Prec@5 78.500 (78.479)
Epoch: [53][7000/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.0473 (2.0097)	Prec@1 50.500 (48.045)	Prec@5 76.500 (78.481)
Epoch: [53][7010/9018]	Time 0.612 (0.626)	Data 0.007 (0.003)	Loss 2.0329 (2.0096)	Prec@1 45.000 (48.045)	Prec@5 80.500 (78.482)
Epoch: [53][7020/9018]	Time 0.607 (0.626)	Data 0.014 (0.003)	Loss 2.1930 (2.0096)	Prec@1 42.000 (48.045)	Prec@5 75.500 (78.482)
Epoch: [53][7030/9018]	Time 0.626 (0.626)	Data 0.001 (0.003)	Loss 2.1743 (2.0096)	Prec@1 46.000 (48.046)	Prec@5 77.000 (78.483)
Epoch: [53][7040/9018]	Time 0.606 (0.626)	Data 0.006 (0.003)	Loss 1.8554 (2.0096)	Prec@1 53.000 (48.044)	Prec@5 81.000 (78.483)
Epoch: [53][7050/9018]	Time 0.616 (0.626)	Data 0.010 (0.003)	Loss 2.1448 (2.0096)	Prec@1 43.500 (48.044)	Prec@5 78.500 (78.483)
Epoch: [53][7060/9018]	Time 0.610 (0.626)	Data 0.020 (0.003)	Loss 1.9251 (2.0096)	Prec@1 51.000 (48.045)	Prec@5 79.000 (78.484)
Epoch: [53][7070/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.0050 (2.0095)	Prec@1 52.500 (48.046)	Prec@5 77.500 (78.484)
Epoch: [53][7080/9018]	Time 0.631 (0.626)	Data 0.001 (0.003)	Loss 1.9051 (2.0096)	Prec@1 50.500 (48.044)	Prec@5 80.000 (78.483)
Epoch: [53][7090/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.9379 (2.0096)	Prec@1 46.000 (48.045)	Prec@5 80.000 (78.482)
Epoch: [53][7100/9018]	Time 0.642 (0.626)	Data 0.001 (0.003)	Loss 1.9400 (2.0094)	Prec@1 49.000 (48.049)	Prec@5 79.000 (78.485)
Epoch: [53][7110/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.2053 (2.0095)	Prec@1 43.000 (48.046)	Prec@5 74.000 (78.483)
Epoch: [53][7120/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 2.1455 (2.0096)	Prec@1 43.500 (48.044)	Prec@5 75.500 (78.481)
Epoch: [53][7130/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.2050 (2.0097)	Prec@1 45.500 (48.044)	Prec@5 77.500 (78.480)
Epoch: [53][7140/9018]	Time 0.614 (0.626)	Data 0.011 (0.003)	Loss 1.9466 (2.0098)	Prec@1 51.500 (48.046)	Prec@5 79.000 (78.480)
Epoch: [53][7150/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 1.9404 (2.0099)	Prec@1 46.500 (48.043)	Prec@5 78.500 (78.479)
Epoch: [53][7160/9018]	Time 0.611 (0.626)	Data 0.002 (0.003)	Loss 1.8285 (2.0099)	Prec@1 52.500 (48.043)	Prec@5 80.000 (78.477)
Epoch: [53][7170/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.0626 (2.0100)	Prec@1 46.000 (48.040)	Prec@5 76.000 (78.475)
Epoch: [53][7180/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.0819 (2.0100)	Prec@1 47.000 (48.041)	Prec@5 79.000 (78.475)
Epoch: [53][7190/9018]	Time 0.628 (0.626)	Data 0.014 (0.003)	Loss 1.8129 (2.0100)	Prec@1 48.500 (48.039)	Prec@5 81.500 (78.474)
Epoch: [53][7200/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.1238 (2.0100)	Prec@1 48.500 (48.041)	Prec@5 76.500 (78.474)
Epoch: [53][7210/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.9539 (2.0100)	Prec@1 46.500 (48.038)	Prec@5 81.000 (78.475)
Epoch: [53][7220/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.1754 (2.0101)	Prec@1 46.000 (48.036)	Prec@5 76.000 (78.474)
Epoch: [53][7230/9018]	Time 0.763 (0.626)	Data 0.001 (0.003)	Loss 1.9739 (2.0101)	Prec@1 49.000 (48.036)	Prec@5 81.000 (78.473)
Epoch: [53][7240/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.9273 (2.0101)	Prec@1 46.500 (48.035)	Prec@5 82.500 (78.474)
Epoch: [53][7250/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.1253 (2.0101)	Prec@1 50.000 (48.034)	Prec@5 77.500 (78.473)
Epoch: [53][7260/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 1.9592 (2.0101)	Prec@1 50.500 (48.034)	Prec@5 76.500 (78.473)
Epoch: [53][7270/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.0914 (2.0102)	Prec@1 46.000 (48.033)	Prec@5 76.500 (78.473)
Epoch: [53][7280/9018]	Time 0.788 (0.626)	Data 0.016 (0.003)	Loss 2.0996 (2.0101)	Prec@1 45.000 (48.032)	Prec@5 79.500 (78.474)
Epoch: [53][7290/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.0939 (2.0102)	Prec@1 45.000 (48.031)	Prec@5 78.000 (78.472)
Epoch: [53][7300/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 1.9286 (2.0102)	Prec@1 45.000 (48.033)	Prec@5 79.500 (78.472)
Epoch: [53][7310/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 1.8783 (2.0102)	Prec@1 51.000 (48.033)	Prec@5 81.000 (78.474)
Epoch: [53][7320/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.1750 (2.0103)	Prec@1 46.000 (48.032)	Prec@5 77.500 (78.472)
Epoch: [53][7330/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 1.9425 (2.0102)	Prec@1 51.500 (48.033)	Prec@5 80.000 (78.472)
Epoch: [53][7340/9018]	Time 0.633 (0.626)	Data 0.001 (0.003)	Loss 2.1398 (2.0104)	Prec@1 44.000 (48.029)	Prec@5 75.000 (78.469)
Epoch: [53][7350/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 1.8821 (2.0104)	Prec@1 48.000 (48.029)	Prec@5 80.000 (78.468)
Epoch: [53][7360/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.8592 (2.0103)	Prec@1 51.000 (48.029)	Prec@5 81.000 (78.469)
Epoch: [53][7370/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.3018 (2.0104)	Prec@1 45.500 (48.028)	Prec@5 71.000 (78.467)
Epoch: [53][7380/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 2.1630 (2.0104)	Prec@1 45.500 (48.027)	Prec@5 74.500 (78.467)
Epoch: [53][7390/9018]	Time 0.615 (0.626)	Data 0.017 (0.003)	Loss 1.9757 (2.0104)	Prec@1 47.500 (48.026)	Prec@5 80.500 (78.468)
Epoch: [53][7400/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.9865 (2.0105)	Prec@1 49.000 (48.027)	Prec@5 77.500 (78.466)
Epoch: [53][7410/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.0113 (2.0105)	Prec@1 50.000 (48.026)	Prec@5 81.500 (78.465)
Epoch: [53][7420/9018]	Time 0.631 (0.626)	Data 0.001 (0.003)	Loss 2.1397 (2.0105)	Prec@1 44.000 (48.026)	Prec@5 77.000 (78.465)
Epoch: [53][7430/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.8894 (2.0105)	Prec@1 50.500 (48.026)	Prec@5 81.500 (78.465)
Epoch: [53][7440/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 1.9138 (2.0105)	Prec@1 54.000 (48.026)	Prec@5 79.500 (78.465)
Epoch: [53][7450/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.9130 (2.0106)	Prec@1 51.000 (48.021)	Prec@5 81.500 (78.463)
Epoch: [53][7460/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.0655 (2.0106)	Prec@1 47.000 (48.020)	Prec@5 77.000 (78.463)
Epoch: [53][7470/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 2.2510 (2.0107)	Prec@1 42.500 (48.019)	Prec@5 75.000 (78.463)
Epoch: [53][7480/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 1.9031 (2.0107)	Prec@1 51.000 (48.018)	Prec@5 82.000 (78.462)
Epoch: [53][7490/9018]	Time 0.643 (0.626)	Data 0.001 (0.003)	Loss 1.9625 (2.0108)	Prec@1 48.000 (48.018)	Prec@5 79.000 (78.462)
Epoch: [53][7500/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 1.9388 (2.0107)	Prec@1 52.500 (48.020)	Prec@5 80.500 (78.464)
Epoch: [53][7510/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 2.2158 (2.0107)	Prec@1 41.500 (48.020)	Prec@5 76.000 (78.466)
Epoch: [53][7520/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.9856 (2.0107)	Prec@1 49.500 (48.018)	Prec@5 77.500 (78.466)
Epoch: [53][7530/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.1156 (2.0108)	Prec@1 46.000 (48.018)	Prec@5 77.500 (78.466)
Epoch: [53][7540/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.1953 (2.0108)	Prec@1 46.000 (48.018)	Prec@5 76.500 (78.465)
Epoch: [53][7550/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 1.9198 (2.0108)	Prec@1 49.000 (48.016)	Prec@5 82.500 (78.467)
Epoch: [53][7560/9018]	Time 0.768 (0.626)	Data 0.001 (0.003)	Loss 2.0229 (2.0107)	Prec@1 49.500 (48.018)	Prec@5 78.500 (78.467)
Epoch: [53][7570/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 1.7513 (2.0107)	Prec@1 50.500 (48.019)	Prec@5 82.000 (78.469)
Epoch: [53][7580/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 1.9951 (2.0107)	Prec@1 49.500 (48.020)	Prec@5 76.500 (78.469)
Epoch: [53][7590/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 2.1948 (2.0106)	Prec@1 43.000 (48.020)	Prec@5 76.500 (78.470)
Epoch: [53][7600/9018]	Time 0.634 (0.626)	Data 0.001 (0.003)	Loss 1.7959 (2.0106)	Prec@1 51.000 (48.020)	Prec@5 82.000 (78.471)
Epoch: [53][7610/9018]	Time 0.741 (0.626)	Data 0.001 (0.003)	Loss 2.0032 (2.0106)	Prec@1 50.000 (48.020)	Prec@5 80.000 (78.471)
Epoch: [53][7620/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 1.9491 (2.0106)	Prec@1 47.500 (48.020)	Prec@5 80.000 (78.472)
Epoch: [53][7630/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 2.1656 (2.0107)	Prec@1 42.000 (48.021)	Prec@5 78.000 (78.471)
Epoch: [53][7640/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.0216 (2.0106)	Prec@1 47.500 (48.021)	Prec@5 76.500 (78.471)
Epoch: [53][7650/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.0735 (2.0107)	Prec@1 43.000 (48.020)	Prec@5 80.000 (78.471)
Epoch: [53][7660/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 2.1836 (2.0108)	Prec@1 42.500 (48.016)	Prec@5 79.000 (78.470)
Epoch: [53][7670/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.1504 (2.0109)	Prec@1 46.000 (48.014)	Prec@5 79.000 (78.469)
Epoch: [53][7680/9018]	Time 0.626 (0.626)	Data 0.001 (0.003)	Loss 2.0572 (2.0109)	Prec@1 47.500 (48.013)	Prec@5 79.000 (78.470)
Epoch: [53][7690/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 2.0337 (2.0109)	Prec@1 49.000 (48.013)	Prec@5 77.000 (78.468)
Epoch: [53][7700/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 1.9808 (2.0109)	Prec@1 48.000 (48.012)	Prec@5 83.000 (78.468)
Epoch: [53][7710/9018]	Time 0.604 (0.626)	Data 0.017 (0.003)	Loss 1.7930 (2.0110)	Prec@1 49.500 (48.012)	Prec@5 81.500 (78.468)
Epoch: [53][7720/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.8562 (2.0110)	Prec@1 52.000 (48.011)	Prec@5 79.500 (78.468)
Epoch: [53][7730/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.9186 (2.0110)	Prec@1 51.000 (48.012)	Prec@5 80.500 (78.468)
Epoch: [53][7740/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 2.1274 (2.0110)	Prec@1 47.000 (48.012)	Prec@5 80.500 (78.468)
Epoch: [53][7750/9018]	Time 0.621 (0.626)	Data 0.006 (0.003)	Loss 1.9534 (2.0111)	Prec@1 51.000 (48.013)	Prec@5 78.000 (78.466)
Epoch: [53][7760/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.1870 (2.0112)	Prec@1 50.500 (48.012)	Prec@5 76.000 (78.464)
Epoch: [53][7770/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 2.1141 (2.0112)	Prec@1 48.500 (48.012)	Prec@5 78.500 (78.464)
Epoch: [53][7780/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.1368 (2.0111)	Prec@1 45.000 (48.014)	Prec@5 75.500 (78.465)
Epoch: [53][7790/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.9587 (2.0110)	Prec@1 47.000 (48.014)	Prec@5 77.000 (78.466)
Epoch: [53][7800/9018]	Time 0.601 (0.626)	Data 0.016 (0.003)	Loss 2.2670 (2.0112)	Prec@1 43.500 (48.011)	Prec@5 73.500 (78.463)
Epoch: [53][7810/9018]	Time 0.650 (0.626)	Data 0.001 (0.003)	Loss 2.2079 (2.0112)	Prec@1 46.500 (48.010)	Prec@5 74.000 (78.463)
Epoch: [53][7820/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.2778 (2.0112)	Prec@1 44.500 (48.010)	Prec@5 76.000 (78.463)
Epoch: [53][7830/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.1019 (2.0113)	Prec@1 45.000 (48.009)	Prec@5 76.000 (78.463)
Epoch: [53][7840/9018]	Time 0.607 (0.626)	Data 0.002 (0.003)	Loss 2.2153 (2.0113)	Prec@1 45.000 (48.008)	Prec@5 72.000 (78.462)
Epoch: [53][7850/9018]	Time 0.650 (0.626)	Data 0.001 (0.003)	Loss 1.9092 (2.0113)	Prec@1 47.000 (48.007)	Prec@5 83.000 (78.463)
Epoch: [53][7860/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 1.9741 (2.0114)	Prec@1 48.000 (48.007)	Prec@5 77.500 (78.462)
Epoch: [53][7870/9018]	Time 0.622 (0.626)	Data 0.015 (0.003)	Loss 2.1290 (2.0115)	Prec@1 44.500 (48.005)	Prec@5 77.500 (78.460)
Epoch: [53][7880/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.9661 (2.0115)	Prec@1 51.500 (48.004)	Prec@5 82.000 (78.461)
Epoch: [53][7890/9018]	Time 0.751 (0.626)	Data 0.001 (0.003)	Loss 1.9029 (2.0114)	Prec@1 51.000 (48.005)	Prec@5 81.000 (78.463)
Epoch: [53][7900/9018]	Time 0.634 (0.626)	Data 0.001 (0.003)	Loss 2.1267 (2.0114)	Prec@1 45.000 (48.005)	Prec@5 75.000 (78.464)
Epoch: [53][7910/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0010 (2.0113)	Prec@1 51.000 (48.007)	Prec@5 77.000 (78.465)
Epoch: [53][7920/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.1059 (2.0113)	Prec@1 45.000 (48.008)	Prec@5 76.000 (78.464)
Epoch: [53][7930/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.2422 (2.0113)	Prec@1 38.000 (48.009)	Prec@5 75.500 (78.464)
Epoch: [53][7940/9018]	Time 0.730 (0.626)	Data 0.001 (0.003)	Loss 1.7264 (2.0112)	Prec@1 54.000 (48.009)	Prec@5 85.000 (78.466)
Epoch: [53][7950/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 1.9843 (2.0112)	Prec@1 49.500 (48.008)	Prec@5 77.000 (78.466)
Epoch: [53][7960/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.6649 (2.0112)	Prec@1 59.000 (48.010)	Prec@5 83.500 (78.467)
Epoch: [53][7970/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.0183 (2.0113)	Prec@1 48.500 (48.007)	Prec@5 78.000 (78.464)
Epoch: [53][7980/9018]	Time 0.594 (0.626)	Data 0.001 (0.003)	Loss 2.0988 (2.0114)	Prec@1 49.000 (48.006)	Prec@5 77.500 (78.462)
Epoch: [53][7990/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.0748 (2.0114)	Prec@1 47.000 (48.008)	Prec@5 76.000 (78.463)
Epoch: [53][8000/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.0538 (2.0113)	Prec@1 47.000 (48.009)	Prec@5 78.500 (78.463)
Epoch: [53][8010/9018]	Time 0.626 (0.626)	Data 0.001 (0.003)	Loss 2.1377 (2.0114)	Prec@1 44.500 (48.006)	Prec@5 76.000 (78.463)
Epoch: [53][8020/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 1.8531 (2.0114)	Prec@1 50.000 (48.008)	Prec@5 79.000 (78.461)
Epoch: [53][8030/9018]	Time 0.635 (0.626)	Data 0.005 (0.003)	Loss 1.7039 (2.0113)	Prec@1 54.500 (48.011)	Prec@5 86.000 (78.464)
Epoch: [53][8040/9018]	Time 0.592 (0.626)	Data 0.001 (0.003)	Loss 1.9080 (2.0113)	Prec@1 48.500 (48.011)	Prec@5 80.000 (78.463)
Epoch: [53][8050/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.0856 (2.0114)	Prec@1 47.000 (48.009)	Prec@5 80.000 (78.462)
Epoch: [53][8060/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.9483 (2.0115)	Prec@1 46.500 (48.008)	Prec@5 79.500 (78.460)
Epoch: [53][8070/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 1.8713 (2.0116)	Prec@1 48.500 (48.006)	Prec@5 83.000 (78.459)
Epoch: [53][8080/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 2.1899 (2.0116)	Prec@1 42.500 (48.005)	Prec@5 77.500 (78.458)
Epoch: [53][8090/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 1.7930 (2.0117)	Prec@1 56.500 (48.005)	Prec@5 80.500 (78.457)
Epoch: [53][8100/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 1.8265 (2.0117)	Prec@1 52.000 (48.005)	Prec@5 81.000 (78.457)
Epoch: [53][8110/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 2.1198 (2.0117)	Prec@1 43.500 (48.004)	Prec@5 79.000 (78.456)
Epoch: [53][8120/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.0240 (2.0118)	Prec@1 47.000 (48.002)	Prec@5 77.000 (78.455)
Epoch: [53][8130/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.0876 (2.0118)	Prec@1 46.500 (48.003)	Prec@5 76.500 (78.457)
Epoch: [53][8140/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 1.7262 (2.0118)	Prec@1 52.000 (48.003)	Prec@5 82.500 (78.456)
Epoch: [53][8150/9018]	Time 0.604 (0.626)	Data 0.015 (0.003)	Loss 2.0035 (2.0118)	Prec@1 49.000 (48.003)	Prec@5 79.500 (78.456)
Epoch: [53][8160/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.0585 (2.0118)	Prec@1 44.500 (48.003)	Prec@5 78.500 (78.456)
Epoch: [53][8170/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.9941 (2.0120)	Prec@1 46.500 (48.001)	Prec@5 78.000 (78.453)
Epoch: [53][8180/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 1.8715 (2.0120)	Prec@1 51.500 (48.001)	Prec@5 80.500 (78.452)
Epoch: [53][8190/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 1.9964 (2.0120)	Prec@1 52.000 (47.999)	Prec@5 76.000 (78.450)
Epoch: [53][8200/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.9187 (2.0120)	Prec@1 51.000 (48.000)	Prec@5 78.000 (78.450)
Epoch: [53][8210/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.9024 (2.0121)	Prec@1 49.000 (47.998)	Prec@5 82.500 (78.449)
Epoch: [53][8220/9018]	Time 0.781 (0.626)	Data 0.001 (0.003)	Loss 2.2803 (2.0121)	Prec@1 41.000 (47.998)	Prec@5 71.500 (78.448)
Epoch: [53][8230/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 2.2909 (2.0122)	Prec@1 42.000 (47.997)	Prec@5 74.000 (78.446)
Epoch: [53][8240/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.0090 (2.0123)	Prec@1 50.000 (47.994)	Prec@5 81.500 (78.444)
Epoch: [53][8250/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 1.8655 (2.0123)	Prec@1 53.500 (47.994)	Prec@5 81.000 (78.447)
Epoch: [53][8260/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 2.0733 (2.0123)	Prec@1 45.500 (47.993)	Prec@5 76.500 (78.447)
Epoch: [53][8270/9018]	Time 0.750 (0.626)	Data 0.016 (0.003)	Loss 2.0003 (2.0122)	Prec@1 51.000 (47.994)	Prec@5 77.000 (78.446)
Epoch: [53][8280/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.1422 (2.0122)	Prec@1 48.500 (47.995)	Prec@5 76.500 (78.447)
Epoch: [53][8290/9018]	Time 0.628 (0.626)	Data 0.015 (0.003)	Loss 2.1248 (2.0123)	Prec@1 44.000 (47.995)	Prec@5 74.000 (78.445)
Epoch: [53][8300/9018]	Time 0.632 (0.626)	Data 0.001 (0.003)	Loss 1.8377 (2.0124)	Prec@1 50.500 (47.992)	Prec@5 82.500 (78.443)
Epoch: [53][8310/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.9357 (2.0123)	Prec@1 47.000 (47.991)	Prec@5 81.500 (78.444)
Epoch: [53][8320/9018]	Time 0.637 (0.626)	Data 0.001 (0.003)	Loss 1.9415 (2.0123)	Prec@1 50.500 (47.992)	Prec@5 81.000 (78.443)
Epoch: [53][8330/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 2.0325 (2.0123)	Prec@1 47.500 (47.991)	Prec@5 75.000 (78.443)
Epoch: [53][8340/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.9807 (2.0124)	Prec@1 48.500 (47.990)	Prec@5 77.000 (78.443)
Epoch: [53][8350/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.1385 (2.0124)	Prec@1 48.000 (47.992)	Prec@5 74.000 (78.441)
Epoch: [53][8360/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.0727 (2.0124)	Prec@1 44.000 (47.992)	Prec@5 76.000 (78.441)
Epoch: [53][8370/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.9072 (2.0124)	Prec@1 47.000 (47.992)	Prec@5 81.500 (78.441)
Epoch: [53][8380/9018]	Time 0.633 (0.626)	Data 0.001 (0.003)	Loss 2.0288 (2.0124)	Prec@1 46.000 (47.993)	Prec@5 76.500 (78.441)
Epoch: [53][8390/9018]	Time 0.611 (0.626)	Data 0.003 (0.003)	Loss 1.9605 (2.0124)	Prec@1 50.000 (47.993)	Prec@5 83.500 (78.441)
Epoch: [53][8400/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.9529 (2.0125)	Prec@1 48.500 (47.992)	Prec@5 80.500 (78.439)
Epoch: [53][8410/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 1.9775 (2.0125)	Prec@1 47.500 (47.992)	Prec@5 80.000 (78.439)
Epoch: [53][8420/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.8935 (2.0126)	Prec@1 55.000 (47.992)	Prec@5 78.500 (78.439)
Epoch: [53][8430/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 2.1462 (2.0125)	Prec@1 46.000 (47.996)	Prec@5 78.500 (78.440)
Epoch: [53][8440/9018]	Time 0.626 (0.626)	Data 0.001 (0.003)	Loss 1.8467 (2.0124)	Prec@1 54.000 (47.996)	Prec@5 80.000 (78.440)
Epoch: [53][8450/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.1361 (2.0125)	Prec@1 47.000 (47.997)	Prec@5 75.500 (78.440)
Epoch: [53][8460/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.7851 (2.0125)	Prec@1 50.500 (47.997)	Prec@5 81.500 (78.440)
Epoch: [53][8470/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 1.9637 (2.0126)	Prec@1 45.500 (47.995)	Prec@5 81.000 (78.439)
Epoch: [53][8480/9018]	Time 0.616 (0.626)	Data 0.002 (0.003)	Loss 1.8997 (2.0126)	Prec@1 50.000 (47.994)	Prec@5 82.000 (78.439)
Epoch: [53][8490/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 2.2553 (2.0126)	Prec@1 48.500 (47.994)	Prec@5 76.000 (78.439)
Epoch: [53][8500/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.0247 (2.0127)	Prec@1 45.500 (47.992)	Prec@5 78.000 (78.437)
Epoch: [53][8510/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 1.9607 (2.0127)	Prec@1 47.000 (47.991)	Prec@5 77.500 (78.436)
Epoch: [53][8520/9018]	Time 0.634 (0.626)	Data 0.001 (0.003)	Loss 1.9139 (2.0127)	Prec@1 53.000 (47.992)	Prec@5 80.000 (78.437)
Epoch: [53][8530/9018]	Time 0.613 (0.626)	Data 0.002 (0.003)	Loss 1.9892 (2.0126)	Prec@1 48.000 (47.993)	Prec@5 80.500 (78.437)
Epoch: [53][8540/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.2422 (2.0127)	Prec@1 40.000 (47.990)	Prec@5 77.500 (78.436)
Epoch: [53][8550/9018]	Time 0.745 (0.626)	Data 0.015 (0.003)	Loss 1.8791 (2.0127)	Prec@1 46.000 (47.988)	Prec@5 84.000 (78.435)
Epoch: [53][8560/9018]	Time 0.647 (0.626)	Data 0.016 (0.003)	Loss 1.8553 (2.0128)	Prec@1 47.500 (47.986)	Prec@5 81.500 (78.434)
Epoch: [53][8570/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 1.8261 (2.0128)	Prec@1 49.000 (47.985)	Prec@5 79.500 (78.433)
Epoch: [53][8580/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 1.9668 (2.0128)	Prec@1 45.500 (47.985)	Prec@5 80.500 (78.433)
Epoch: [53][8590/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.0091 (2.0128)	Prec@1 44.000 (47.984)	Prec@5 78.000 (78.432)
Epoch: [53][8600/9018]	Time 0.733 (0.626)	Data 0.001 (0.003)	Loss 2.0102 (2.0129)	Prec@1 41.000 (47.981)	Prec@5 79.000 (78.431)
Epoch: [53][8610/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 2.1538 (2.0129)	Prec@1 42.500 (47.980)	Prec@5 76.000 (78.432)
Epoch: [53][8620/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 2.0272 (2.0129)	Prec@1 49.500 (47.981)	Prec@5 79.000 (78.432)
Epoch: [53][8630/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 2.0709 (2.0130)	Prec@1 49.000 (47.981)	Prec@5 77.500 (78.432)
Epoch: [53][8640/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.9294 (2.0130)	Prec@1 48.000 (47.979)	Prec@5 77.500 (78.432)
Epoch: [53][8650/9018]	Time 0.631 (0.626)	Data 0.017 (0.003)	Loss 2.0611 (2.0130)	Prec@1 51.000 (47.980)	Prec@5 78.500 (78.432)
Epoch: [53][8660/9018]	Time 0.639 (0.626)	Data 0.001 (0.003)	Loss 1.8620 (2.0130)	Prec@1 50.500 (47.980)	Prec@5 81.000 (78.431)
Epoch: [53][8670/9018]	Time 0.632 (0.626)	Data 0.044 (0.003)	Loss 2.0127 (2.0130)	Prec@1 47.500 (47.980)	Prec@5 80.000 (78.432)
Epoch: [53][8680/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.1079 (2.0131)	Prec@1 46.000 (47.978)	Prec@5 75.000 (78.430)
Epoch: [53][8690/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.0357 (2.0131)	Prec@1 52.000 (47.978)	Prec@5 77.000 (78.429)
Epoch: [53][8700/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 2.0013 (2.0132)	Prec@1 46.500 (47.976)	Prec@5 79.500 (78.429)
Epoch: [53][8710/9018]	Time 0.637 (0.626)	Data 0.001 (0.003)	Loss 1.9835 (2.0132)	Prec@1 50.500 (47.975)	Prec@5 76.500 (78.427)
Epoch: [53][8720/9018]	Time 0.655 (0.626)	Data 0.001 (0.003)	Loss 1.8907 (2.0133)	Prec@1 53.500 (47.973)	Prec@5 80.000 (78.425)
Epoch: [53][8730/9018]	Time 0.641 (0.626)	Data 0.001 (0.003)	Loss 1.9913 (2.0133)	Prec@1 51.500 (47.975)	Prec@5 79.500 (78.426)
Epoch: [53][8740/9018]	Time 0.637 (0.626)	Data 0.001 (0.003)	Loss 2.0392 (2.0133)	Prec@1 44.500 (47.974)	Prec@5 78.000 (78.425)
Epoch: [53][8750/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 2.0256 (2.0133)	Prec@1 47.500 (47.975)	Prec@5 78.500 (78.424)
Epoch: [53][8760/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.9850 (2.0133)	Prec@1 50.000 (47.975)	Prec@5 80.500 (78.424)
Epoch: [53][8770/9018]	Time 0.626 (0.626)	Data 0.001 (0.003)	Loss 2.1395 (2.0133)	Prec@1 47.000 (47.975)	Prec@5 76.500 (78.423)
Epoch: [53][8780/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 1.9497 (2.0133)	Prec@1 49.000 (47.976)	Prec@5 77.000 (78.422)
Epoch: [53][8790/9018]	Time 0.640 (0.626)	Data 0.001 (0.003)	Loss 2.1232 (2.0134)	Prec@1 49.000 (47.977)	Prec@5 73.500 (78.421)
Epoch: [53][8800/9018]	Time 0.626 (0.626)	Data 0.001 (0.003)	Loss 1.9527 (2.0133)	Prec@1 49.500 (47.978)	Prec@5 78.000 (78.422)
Epoch: [53][8810/9018]	Time 0.609 (0.626)	Data 0.015 (0.003)	Loss 1.9742 (2.0133)	Prec@1 50.500 (47.979)	Prec@5 80.000 (78.423)
Epoch: [53][8820/9018]	Time 0.605 (0.626)	Data 0.015 (0.003)	Loss 2.0821 (2.0133)	Prec@1 48.500 (47.978)	Prec@5 77.000 (78.423)
Epoch: [53][8830/9018]	Time 0.621 (0.626)	Data 0.012 (0.003)	Loss 1.9395 (2.0133)	Prec@1 49.500 (47.977)	Prec@5 81.500 (78.422)
Epoch: [53][8840/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 1.8947 (2.0134)	Prec@1 50.500 (47.978)	Prec@5 80.000 (78.422)
Epoch: [53][8850/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.0825 (2.0134)	Prec@1 42.000 (47.977)	Prec@5 76.000 (78.422)
Epoch: [53][8860/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 1.8835 (2.0133)	Prec@1 52.000 (47.978)	Prec@5 79.000 (78.424)
Epoch: [53][8870/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.8755 (2.0133)	Prec@1 49.500 (47.979)	Prec@5 78.000 (78.426)
Epoch: [53][8880/9018]	Time 0.725 (0.626)	Data 0.001 (0.004)	Loss 1.8819 (2.0133)	Prec@1 47.500 (47.979)	Prec@5 78.500 (78.425)
Epoch: [53][8890/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 2.0125 (2.0133)	Prec@1 50.000 (47.979)	Prec@5 80.500 (78.425)
Epoch: [53][8900/9018]	Time 0.625 (0.626)	Data 0.005 (0.004)	Loss 2.0639 (2.0135)	Prec@1 44.500 (47.975)	Prec@5 78.500 (78.422)
Epoch: [53][8910/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.9659 (2.0135)	Prec@1 50.500 (47.974)	Prec@5 78.500 (78.420)
Epoch: [53][8920/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 2.0278 (2.0135)	Prec@1 48.000 (47.974)	Prec@5 77.000 (78.420)
Epoch: [53][8930/9018]	Time 0.702 (0.626)	Data 0.001 (0.004)	Loss 1.9546 (2.0135)	Prec@1 46.000 (47.974)	Prec@5 78.500 (78.421)
Epoch: [53][8940/9018]	Time 0.644 (0.626)	Data 0.001 (0.004)	Loss 2.1847 (2.0135)	Prec@1 41.500 (47.973)	Prec@5 76.000 (78.421)
Epoch: [53][8950/9018]	Time 0.633 (0.626)	Data 0.015 (0.004)	Loss 1.8912 (2.0135)	Prec@1 52.500 (47.973)	Prec@5 79.000 (78.421)
Epoch: [53][8960/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 2.0219 (2.0135)	Prec@1 45.000 (47.973)	Prec@5 78.500 (78.421)
Epoch: [53][8970/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.9816 (2.0135)	Prec@1 47.500 (47.973)	Prec@5 79.500 (78.422)
Epoch: [53][8980/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 2.0563 (2.0135)	Prec@1 46.500 (47.971)	Prec@5 77.000 (78.422)
Epoch: [53][8990/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 2.0464 (2.0136)	Prec@1 42.000 (47.970)	Prec@5 79.000 (78.421)
Epoch: [53][9000/9018]	Time 0.606 (0.626)	Data 0.001 (0.004)	Loss 1.9083 (2.0135)	Prec@1 51.000 (47.971)	Prec@5 77.000 (78.420)
Epoch: [53][9010/9018]	Time 0.613 (0.626)	Data 0.000 (0.004)	Loss 2.1820 (2.0136)	Prec@1 45.000 (47.968)	Prec@5 77.500 (78.418)
Test: [0/183]	Time 1.726 (1.726)	Loss 2.6856 (2.6856)	Prec@1 30.000 (30.000)	Prec@5 69.500 (69.500)
Test: [10/183]	Time 0.222 (0.343)	Loss 1.5153 (1.7911)	Prec@1 62.500 (53.091)	Prec@5 85.000 (83.409)
Test: [20/183]	Time 0.217 (0.284)	Loss 2.2012 (1.7640)	Prec@1 39.500 (51.833)	Prec@5 77.000 (83.548)
Test: [30/183]	Time 0.264 (0.260)	Loss 2.4317 (1.7526)	Prec@1 33.000 (52.129)	Prec@5 73.000 (84.226)
Test: [40/183]	Time 0.224 (0.246)	Loss 2.1321 (1.7620)	Prec@1 40.000 (52.573)	Prec@5 81.000 (83.524)
Test: [50/183]	Time 0.221 (0.239)	Loss 1.7253 (1.7376)	Prec@1 52.000 (53.539)	Prec@5 87.500 (83.735)
Test: [60/183]	Time 0.282 (0.233)	Loss 1.9003 (1.8001)	Prec@1 51.000 (51.705)	Prec@5 78.000 (82.770)
Test: [70/183]	Time 0.185 (0.229)	Loss 1.7979 (1.7871)	Prec@1 52.000 (51.789)	Prec@5 85.500 (83.169)
Test: [80/183]	Time 0.206 (0.227)	Loss 1.3732 (1.7706)	Prec@1 59.000 (51.981)	Prec@5 93.500 (83.309)
Test: [90/183]	Time 0.215 (0.224)	Loss 2.1750 (1.7579)	Prec@1 41.000 (52.313)	Prec@5 78.000 (83.533)
Test: [100/183]	Time 0.181 (0.222)	Loss 0.7974 (1.7524)	Prec@1 74.500 (52.470)	Prec@5 93.000 (83.609)
Test: [110/183]	Time 0.297 (0.222)	Loss 0.7781 (1.7525)	Prec@1 80.000 (52.514)	Prec@5 96.000 (83.486)
Test: [120/183]	Time 0.190 (0.220)	Loss 2.2078 (1.7571)	Prec@1 39.000 (52.405)	Prec@5 78.000 (83.521)
Test: [130/183]	Time 0.207 (0.219)	Loss 3.3290 (1.7655)	Prec@1 13.500 (52.164)	Prec@5 65.000 (83.580)
Test: [140/183]	Time 0.187 (0.218)	Loss 1.3844 (1.7516)	Prec@1 66.500 (52.674)	Prec@5 85.500 (83.759)
Test: [150/183]	Time 0.202 (0.217)	Loss 0.8725 (1.7506)	Prec@1 76.500 (52.755)	Prec@5 95.500 (83.841)
Test: [160/183]	Time 0.317 (0.217)	Loss 1.6052 (1.7473)	Prec@1 57.000 (52.922)	Prec@5 83.500 (83.882)
Test: [170/183]	Time 0.209 (0.216)	Loss 2.2989 (1.7620)	Prec@1 34.500 (52.567)	Prec@5 75.500 (83.596)
Test: [180/183]	Time 0.204 (0.216)	Loss 1.9907 (1.7638)	Prec@1 45.500 (52.541)	Prec@5 82.500 (83.525)
 * Prec@1 52.523 Prec@5 83.512
Epoch: [54][0/9018]	Time 3.165 (3.165)	Data 2.540 (2.540)	Loss 2.0634 (2.0634)	Prec@1 47.500 (47.500)	Prec@5 78.000 (78.000)
Epoch: [54][10/9018]	Time 0.823 (0.869)	Data 0.001 (0.234)	Loss 2.0036 (2.0295)	Prec@1 52.000 (47.455)	Prec@5 78.500 (78.045)
Epoch: [54][20/9018]	Time 0.598 (0.748)	Data 0.001 (0.124)	Loss 2.0521 (2.0014)	Prec@1 49.000 (48.095)	Prec@5 76.000 (78.381)
Epoch: [54][30/9018]	Time 0.610 (0.710)	Data 0.001 (0.085)	Loss 1.8515 (1.9874)	Prec@1 50.000 (48.435)	Prec@5 79.500 (78.387)
Epoch: [54][40/9018]	Time 0.600 (0.685)	Data 0.001 (0.065)	Loss 1.8323 (2.0031)	Prec@1 54.000 (48.354)	Prec@5 81.000 (78.207)
Epoch: [54][50/9018]	Time 0.611 (0.673)	Data 0.001 (0.053)	Loss 1.8501 (1.9994)	Prec@1 52.500 (48.225)	Prec@5 79.500 (78.363)
Epoch: [54][60/9018]	Time 0.615 (0.666)	Data 0.001 (0.045)	Loss 2.1281 (1.9994)	Prec@1 48.000 (48.303)	Prec@5 76.000 (78.213)
Epoch: [54][70/9018]	Time 0.605 (0.659)	Data 0.001 (0.039)	Loss 1.9609 (1.9996)	Prec@1 47.500 (48.268)	Prec@5 80.500 (78.225)
Epoch: [54][80/9018]	Time 0.597 (0.655)	Data 0.001 (0.034)	Loss 2.0483 (2.0049)	Prec@1 46.500 (48.086)	Prec@5 77.500 (78.235)
Epoch: [54][90/9018]	Time 0.599 (0.651)	Data 0.001 (0.030)	Loss 2.0433 (2.0028)	Prec@1 47.500 (48.242)	Prec@5 80.500 (78.220)
Epoch: [54][100/9018]	Time 0.615 (0.649)	Data 0.001 (0.027)	Loss 1.9587 (2.0045)	Prec@1 46.000 (48.243)	Prec@5 78.500 (78.252)
Epoch: [54][110/9018]	Time 0.606 (0.646)	Data 0.001 (0.025)	Loss 1.8649 (2.0016)	Prec@1 52.000 (48.374)	Prec@5 80.000 (78.333)
Epoch: [54][120/9018]	Time 0.620 (0.643)	Data 0.001 (0.024)	Loss 2.2018 (2.0002)	Prec@1 47.000 (48.384)	Prec@5 76.000 (78.393)
Epoch: [54][130/9018]	Time 0.603 (0.643)	Data 0.001 (0.022)	Loss 1.9896 (2.0023)	Prec@1 52.500 (48.328)	Prec@5 76.000 (78.347)
Epoch: [54][140/9018]	Time 0.605 (0.640)	Data 0.001 (0.020)	Loss 2.0152 (1.9990)	Prec@1 49.500 (48.404)	Prec@5 77.000 (78.411)
Epoch: [54][150/9018]	Time 0.640 (0.640)	Data 0.001 (0.019)	Loss 2.0464 (1.9987)	Prec@1 46.000 (48.421)	Prec@5 76.000 (78.374)
Epoch: [54][160/9018]	Time 0.638 (0.640)	Data 0.001 (0.018)	Loss 1.9272 (1.9953)	Prec@1 47.500 (48.528)	Prec@5 78.500 (78.438)
Epoch: [54][170/9018]	Time 0.644 (0.639)	Data 0.001 (0.017)	Loss 1.9830 (1.9912)	Prec@1 52.500 (48.556)	Prec@5 78.500 (78.520)
Epoch: [54][180/9018]	Time 0.608 (0.638)	Data 0.017 (0.017)	Loss 1.9258 (1.9891)	Prec@1 51.500 (48.588)	Prec@5 80.500 (78.536)
Epoch: [54][190/9018]	Time 0.625 (0.637)	Data 0.001 (0.016)	Loss 2.0194 (1.9914)	Prec@1 50.000 (48.482)	Prec@5 77.000 (78.518)
Epoch: [54][200/9018]	Time 0.606 (0.636)	Data 0.001 (0.015)	Loss 2.1054 (1.9923)	Prec@1 45.000 (48.465)	Prec@5 77.500 (78.522)
Epoch: [54][210/9018]	Time 0.609 (0.636)	Data 0.001 (0.014)	Loss 2.1954 (1.9902)	Prec@1 47.500 (48.545)	Prec@5 75.500 (78.581)
Epoch: [54][220/9018]	Time 0.611 (0.635)	Data 0.001 (0.014)	Loss 2.1096 (1.9931)	Prec@1 46.500 (48.509)	Prec@5 77.500 (78.538)
Epoch: [54][230/9018]	Time 0.624 (0.635)	Data 0.001 (0.013)	Loss 2.2768 (1.9930)	Prec@1 42.000 (48.504)	Prec@5 73.000 (78.532)
Epoch: [54][240/9018]	Time 0.608 (0.634)	Data 0.004 (0.013)	Loss 2.3140 (1.9945)	Prec@1 44.500 (48.440)	Prec@5 71.500 (78.515)
Epoch: [54][250/9018]	Time 0.628 (0.634)	Data 0.001 (0.013)	Loss 2.0373 (1.9940)	Prec@1 49.000 (48.440)	Prec@5 80.500 (78.544)
Epoch: [54][260/9018]	Time 0.602 (0.634)	Data 0.001 (0.012)	Loss 2.0213 (1.9933)	Prec@1 47.500 (48.475)	Prec@5 80.500 (78.542)
Epoch: [54][270/9018]	Time 0.626 (0.633)	Data 0.001 (0.012)	Loss 2.2106 (1.9921)	Prec@1 43.500 (48.524)	Prec@5 75.000 (78.572)
Epoch: [54][280/9018]	Time 0.605 (0.633)	Data 0.001 (0.012)	Loss 1.9573 (1.9937)	Prec@1 49.000 (48.448)	Prec@5 79.000 (78.537)
Epoch: [54][290/9018]	Time 0.784 (0.633)	Data 0.001 (0.011)	Loss 1.9864 (1.9929)	Prec@1 46.000 (48.445)	Prec@5 77.500 (78.565)
Epoch: [54][300/9018]	Time 0.611 (0.633)	Data 0.001 (0.011)	Loss 2.0396 (1.9938)	Prec@1 44.000 (48.402)	Prec@5 75.500 (78.543)
Epoch: [54][310/9018]	Time 0.637 (0.633)	Data 0.001 (0.011)	Loss 2.2524 (1.9964)	Prec@1 44.000 (48.357)	Prec@5 74.500 (78.492)
Epoch: [54][320/9018]	Time 0.622 (0.632)	Data 0.014 (0.011)	Loss 1.9836 (1.9962)	Prec@1 48.000 (48.327)	Prec@5 79.000 (78.477)
Epoch: [54][330/9018]	Time 0.626 (0.632)	Data 0.001 (0.010)	Loss 1.9090 (1.9949)	Prec@1 48.500 (48.343)	Prec@5 77.500 (78.509)
Epoch: [54][340/9018]	Time 0.784 (0.632)	Data 0.001 (0.010)	Loss 1.8035 (1.9934)	Prec@1 53.000 (48.383)	Prec@5 82.000 (78.548)
Epoch: [54][350/9018]	Time 0.613 (0.632)	Data 0.001 (0.010)	Loss 1.6854 (1.9923)	Prec@1 54.500 (48.383)	Prec@5 84.500 (78.568)
Epoch: [54][360/9018]	Time 0.629 (0.632)	Data 0.001 (0.010)	Loss 1.7767 (1.9912)	Prec@1 55.500 (48.427)	Prec@5 83.000 (78.602)
Epoch: [54][370/9018]	Time 0.622 (0.632)	Data 0.001 (0.009)	Loss 1.8370 (1.9891)	Prec@1 51.500 (48.473)	Prec@5 83.000 (78.650)
Epoch: [54][380/9018]	Time 0.617 (0.632)	Data 0.001 (0.009)	Loss 1.9275 (1.9903)	Prec@1 51.000 (48.459)	Prec@5 82.000 (78.639)
Epoch: [54][390/9018]	Time 0.637 (0.631)	Data 0.001 (0.009)	Loss 1.9674 (1.9890)	Prec@1 46.500 (48.478)	Prec@5 79.500 (78.689)
Epoch: [54][400/9018]	Time 0.600 (0.631)	Data 0.001 (0.009)	Loss 2.0736 (1.9918)	Prec@1 44.500 (48.406)	Prec@5 77.500 (78.628)
Epoch: [54][410/9018]	Time 0.613 (0.631)	Data 0.001 (0.009)	Loss 1.9155 (1.9905)	Prec@1 51.500 (48.432)	Prec@5 78.500 (78.631)
Epoch: [54][420/9018]	Time 0.607 (0.631)	Data 0.001 (0.009)	Loss 2.0133 (1.9929)	Prec@1 43.500 (48.375)	Prec@5 79.500 (78.595)
Epoch: [54][430/9018]	Time 0.624 (0.631)	Data 0.001 (0.009)	Loss 1.9641 (1.9935)	Prec@1 50.000 (48.374)	Prec@5 77.500 (78.586)
Epoch: [54][440/9018]	Time 0.633 (0.631)	Data 0.001 (0.008)	Loss 2.0471 (1.9937)	Prec@1 49.500 (48.370)	Prec@5 78.500 (78.578)
Epoch: [54][450/9018]	Time 0.599 (0.630)	Data 0.004 (0.008)	Loss 1.8688 (1.9930)	Prec@1 55.500 (48.402)	Prec@5 78.000 (78.593)
Epoch: [54][460/9018]	Time 0.605 (0.630)	Data 0.001 (0.008)	Loss 2.0316 (1.9939)	Prec@1 52.500 (48.398)	Prec@5 82.500 (78.581)
Epoch: [54][470/9018]	Time 0.615 (0.630)	Data 0.001 (0.008)	Loss 1.9556 (1.9936)	Prec@1 46.500 (48.426)	Prec@5 80.500 (78.601)
Epoch: [54][480/9018]	Time 0.604 (0.630)	Data 0.001 (0.008)	Loss 2.2219 (1.9927)	Prec@1 43.000 (48.418)	Prec@5 72.500 (78.613)
Epoch: [54][490/9018]	Time 0.623 (0.630)	Data 0.015 (0.008)	Loss 1.9100 (1.9917)	Prec@1 49.000 (48.450)	Prec@5 82.000 (78.624)
Epoch: [54][500/9018]	Time 0.620 (0.630)	Data 0.001 (0.008)	Loss 2.1979 (1.9924)	Prec@1 47.000 (48.455)	Prec@5 73.000 (78.593)
Epoch: [54][510/9018]	Time 0.641 (0.630)	Data 0.001 (0.008)	Loss 1.9159 (1.9926)	Prec@1 53.500 (48.462)	Prec@5 81.000 (78.607)
Epoch: [54][520/9018]	Time 0.621 (0.630)	Data 0.016 (0.008)	Loss 1.9997 (1.9928)	Prec@1 48.000 (48.458)	Prec@5 80.000 (78.616)
Epoch: [54][530/9018]	Time 0.615 (0.630)	Data 0.001 (0.008)	Loss 2.0538 (1.9917)	Prec@1 46.500 (48.484)	Prec@5 79.500 (78.641)
Epoch: [54][540/9018]	Time 0.622 (0.630)	Data 0.013 (0.008)	Loss 2.1126 (1.9915)	Prec@1 47.500 (48.506)	Prec@5 75.500 (78.660)
Epoch: [54][550/9018]	Time 0.629 (0.630)	Data 0.001 (0.007)	Loss 2.0546 (1.9925)	Prec@1 46.500 (48.484)	Prec@5 76.000 (78.632)
Epoch: [54][560/9018]	Time 0.618 (0.630)	Data 0.001 (0.007)	Loss 2.2087 (1.9925)	Prec@1 45.000 (48.508)	Prec@5 74.000 (78.622)
Epoch: [54][570/9018]	Time 0.629 (0.629)	Data 0.013 (0.007)	Loss 2.0463 (1.9918)	Prec@1 50.500 (48.555)	Prec@5 76.000 (78.630)
Epoch: [54][580/9018]	Time 0.629 (0.629)	Data 0.001 (0.007)	Loss 1.9083 (1.9903)	Prec@1 48.500 (48.585)	Prec@5 82.000 (78.662)
Epoch: [54][590/9018]	Time 0.609 (0.629)	Data 0.001 (0.007)	Loss 2.0045 (1.9897)	Prec@1 49.500 (48.581)	Prec@5 78.000 (78.669)
Epoch: [54][600/9018]	Time 0.617 (0.629)	Data 0.013 (0.007)	Loss 1.9289 (1.9898)	Prec@1 45.500 (48.593)	Prec@5 80.000 (78.651)
Epoch: [54][610/9018]	Time 0.619 (0.629)	Data 0.001 (0.007)	Loss 2.0559 (1.9896)	Prec@1 48.000 (48.588)	Prec@5 81.500 (78.666)
Epoch: [54][620/9018]	Time 0.753 (0.629)	Data 0.001 (0.007)	Loss 2.1019 (1.9905)	Prec@1 46.000 (48.564)	Prec@5 79.500 (78.656)
Epoch: [54][630/9018]	Time 0.628 (0.629)	Data 0.001 (0.007)	Loss 1.8848 (1.9906)	Prec@1 52.500 (48.568)	Prec@5 78.000 (78.655)
Epoch: [54][640/9018]	Time 0.625 (0.629)	Data 0.001 (0.007)	Loss 2.0376 (1.9907)	Prec@1 48.000 (48.564)	Prec@5 78.500 (78.645)
Epoch: [54][650/9018]	Time 0.613 (0.629)	Data 0.012 (0.007)	Loss 1.7499 (1.9901)	Prec@1 54.000 (48.587)	Prec@5 82.000 (78.641)
Epoch: [54][660/9018]	Time 0.627 (0.629)	Data 0.001 (0.007)	Loss 2.0207 (1.9903)	Prec@1 47.500 (48.584)	Prec@5 75.500 (78.641)
Epoch: [54][670/9018]	Time 0.784 (0.629)	Data 0.001 (0.007)	Loss 1.8419 (1.9901)	Prec@1 50.500 (48.601)	Prec@5 81.000 (78.639)
Epoch: [54][680/9018]	Time 0.637 (0.629)	Data 0.001 (0.007)	Loss 2.0244 (1.9915)	Prec@1 49.000 (48.573)	Prec@5 77.500 (78.625)
Epoch: [54][690/9018]	Time 0.606 (0.629)	Data 0.001 (0.006)	Loss 2.0237 (1.9916)	Prec@1 50.000 (48.569)	Prec@5 79.000 (78.626)
Epoch: [54][700/9018]	Time 0.621 (0.629)	Data 0.001 (0.006)	Loss 2.0836 (1.9924)	Prec@1 46.000 (48.576)	Prec@5 78.000 (78.618)
Epoch: [54][710/9018]	Time 0.622 (0.629)	Data 0.001 (0.006)	Loss 2.2262 (1.9923)	Prec@1 43.000 (48.569)	Prec@5 75.500 (78.622)
Epoch: [54][720/9018]	Time 0.612 (0.629)	Data 0.001 (0.006)	Loss 2.0058 (1.9919)	Prec@1 48.000 (48.586)	Prec@5 80.000 (78.621)
Epoch: [54][730/9018]	Time 0.638 (0.629)	Data 0.014 (0.006)	Loss 2.0170 (1.9927)	Prec@1 50.500 (48.573)	Prec@5 77.500 (78.598)
Epoch: [54][740/9018]	Time 0.638 (0.629)	Data 0.001 (0.006)	Loss 1.8948 (1.9936)	Prec@1 51.000 (48.545)	Prec@5 82.000 (78.592)
Epoch: [54][750/9018]	Time 0.633 (0.629)	Data 0.001 (0.006)	Loss 2.0241 (1.9934)	Prec@1 44.500 (48.536)	Prec@5 80.000 (78.594)
Epoch: [54][760/9018]	Time 0.614 (0.629)	Data 0.001 (0.006)	Loss 2.0758 (1.9929)	Prec@1 45.500 (48.536)	Prec@5 77.500 (78.606)
Epoch: [54][770/9018]	Time 0.627 (0.629)	Data 0.001 (0.006)	Loss 2.0443 (1.9924)	Prec@1 49.500 (48.551)	Prec@5 77.500 (78.615)
Epoch: [54][780/9018]	Time 0.624 (0.629)	Data 0.001 (0.006)	Loss 2.0353 (1.9925)	Prec@1 47.500 (48.548)	Prec@5 77.500 (78.604)
Epoch: [54][790/9018]	Time 0.607 (0.629)	Data 0.001 (0.006)	Loss 1.9438 (1.9933)	Prec@1 51.000 (48.532)	Prec@5 79.500 (78.595)
Epoch: [54][800/9018]	Time 0.657 (0.629)	Data 0.001 (0.006)	Loss 2.1551 (1.9936)	Prec@1 45.000 (48.508)	Prec@5 74.500 (78.592)
Epoch: [54][810/9018]	Time 0.590 (0.629)	Data 0.001 (0.006)	Loss 2.0735 (1.9944)	Prec@1 47.500 (48.478)	Prec@5 75.000 (78.577)
Epoch: [54][820/9018]	Time 0.594 (0.629)	Data 0.001 (0.006)	Loss 1.8466 (1.9948)	Prec@1 52.500 (48.479)	Prec@5 79.000 (78.564)
Epoch: [54][830/9018]	Time 0.621 (0.629)	Data 0.001 (0.006)	Loss 1.9405 (1.9947)	Prec@1 52.500 (48.482)	Prec@5 81.000 (78.574)
Epoch: [54][840/9018]	Time 0.607 (0.629)	Data 0.001 (0.006)	Loss 1.9149 (1.9949)	Prec@1 51.000 (48.471)	Prec@5 81.500 (78.578)
Epoch: [54][850/9018]	Time 0.615 (0.628)	Data 0.001 (0.006)	Loss 1.9965 (1.9949)	Prec@1 45.000 (48.464)	Prec@5 79.000 (78.572)
Epoch: [54][860/9018]	Time 0.612 (0.628)	Data 0.001 (0.006)	Loss 1.9883 (1.9952)	Prec@1 47.000 (48.447)	Prec@5 78.000 (78.565)
Epoch: [54][870/9018]	Time 0.624 (0.628)	Data 0.001 (0.006)	Loss 1.9558 (1.9952)	Prec@1 48.000 (48.448)	Prec@5 81.500 (78.573)
Epoch: [54][880/9018]	Time 0.614 (0.628)	Data 0.001 (0.006)	Loss 2.0271 (1.9955)	Prec@1 49.500 (48.438)	Prec@5 78.500 (78.566)
Epoch: [54][890/9018]	Time 0.618 (0.628)	Data 0.001 (0.006)	Loss 2.0631 (1.9956)	Prec@1 51.000 (48.442)	Prec@5 74.000 (78.560)
Epoch: [54][900/9018]	Time 0.642 (0.628)	Data 0.014 (0.006)	Loss 2.2257 (1.9958)	Prec@1 45.500 (48.446)	Prec@5 75.000 (78.547)
Epoch: [54][910/9018]	Time 0.624 (0.628)	Data 0.013 (0.005)	Loss 1.8826 (1.9956)	Prec@1 49.000 (48.464)	Prec@5 85.500 (78.551)
Epoch: [54][920/9018]	Time 0.631 (0.628)	Data 0.001 (0.005)	Loss 2.0523 (1.9965)	Prec@1 48.500 (48.438)	Prec@5 78.000 (78.530)
Epoch: [54][930/9018]	Time 0.594 (0.628)	Data 0.001 (0.005)	Loss 1.8650 (1.9964)	Prec@1 48.500 (48.445)	Prec@5 83.500 (78.539)
Epoch: [54][940/9018]	Time 0.622 (0.628)	Data 0.009 (0.005)	Loss 1.8932 (1.9962)	Prec@1 48.000 (48.447)	Prec@5 82.500 (78.543)
Epoch: [54][950/9018]	Time 0.752 (0.628)	Data 0.001 (0.005)	Loss 1.9938 (1.9966)	Prec@1 47.000 (48.425)	Prec@5 80.000 (78.535)
Epoch: [54][960/9018]	Time 0.611 (0.628)	Data 0.006 (0.005)	Loss 1.7488 (1.9961)	Prec@1 54.500 (48.433)	Prec@5 84.000 (78.552)
Epoch: [54][970/9018]	Time 0.613 (0.628)	Data 0.007 (0.005)	Loss 1.9932 (1.9956)	Prec@1 49.000 (48.441)	Prec@5 78.000 (78.568)
Epoch: [54][980/9018]	Time 0.647 (0.628)	Data 0.020 (0.005)	Loss 1.9830 (1.9957)	Prec@1 51.500 (48.435)	Prec@5 77.500 (78.565)
Epoch: [54][990/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 2.0087 (1.9956)	Prec@1 45.000 (48.418)	Prec@5 77.000 (78.579)
Epoch: [54][1000/9018]	Time 0.747 (0.628)	Data 0.001 (0.005)	Loss 2.1211 (1.9960)	Prec@1 47.500 (48.412)	Prec@5 76.500 (78.576)
Epoch: [54][1010/9018]	Time 0.608 (0.628)	Data 0.001 (0.005)	Loss 2.1821 (1.9962)	Prec@1 39.000 (48.404)	Prec@5 75.500 (78.578)
Epoch: [54][1020/9018]	Time 0.626 (0.628)	Data 0.001 (0.005)	Loss 1.9186 (1.9962)	Prec@1 46.000 (48.401)	Prec@5 83.500 (78.589)
Epoch: [54][1030/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.8112 (1.9955)	Prec@1 52.500 (48.417)	Prec@5 85.000 (78.614)
Epoch: [54][1040/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 1.9285 (1.9955)	Prec@1 48.500 (48.411)	Prec@5 77.500 (78.616)
Epoch: [54][1050/9018]	Time 0.640 (0.628)	Data 0.001 (0.005)	Loss 2.0822 (1.9949)	Prec@1 46.000 (48.415)	Prec@5 76.500 (78.630)
Epoch: [54][1060/9018]	Time 0.645 (0.628)	Data 0.001 (0.005)	Loss 1.9964 (1.9951)	Prec@1 44.000 (48.398)	Prec@5 80.000 (78.630)
Epoch: [54][1070/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 1.8974 (1.9953)	Prec@1 50.500 (48.401)	Prec@5 77.000 (78.632)
Epoch: [54][1080/9018]	Time 0.627 (0.628)	Data 0.017 (0.005)	Loss 1.9626 (1.9950)	Prec@1 52.000 (48.417)	Prec@5 78.500 (78.630)
Epoch: [54][1090/9018]	Time 0.628 (0.628)	Data 0.001 (0.005)	Loss 2.1586 (1.9951)	Prec@1 46.000 (48.409)	Prec@5 75.000 (78.619)
Epoch: [54][1100/9018]	Time 0.624 (0.628)	Data 0.007 (0.005)	Loss 2.0535 (1.9945)	Prec@1 45.500 (48.415)	Prec@5 81.000 (78.637)
Epoch: [54][1110/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 1.9978 (1.9950)	Prec@1 47.500 (48.391)	Prec@5 78.500 (78.627)
Epoch: [54][1120/9018]	Time 0.621 (0.628)	Data 0.001 (0.005)	Loss 1.9380 (1.9950)	Prec@1 49.000 (48.393)	Prec@5 80.000 (78.635)
Epoch: [54][1130/9018]	Time 0.639 (0.628)	Data 0.001 (0.005)	Loss 2.1647 (1.9948)	Prec@1 47.000 (48.397)	Prec@5 71.000 (78.644)
Epoch: [54][1140/9018]	Time 0.605 (0.628)	Data 0.001 (0.005)	Loss 2.1818 (1.9954)	Prec@1 44.500 (48.387)	Prec@5 77.500 (78.633)
Epoch: [54][1150/9018]	Time 0.635 (0.628)	Data 0.001 (0.005)	Loss 1.8489 (1.9952)	Prec@1 49.500 (48.385)	Prec@5 83.000 (78.632)
Epoch: [54][1160/9018]	Time 0.617 (0.628)	Data 0.004 (0.005)	Loss 2.1592 (1.9953)	Prec@1 47.500 (48.391)	Prec@5 76.500 (78.630)
Epoch: [54][1170/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 2.0518 (1.9955)	Prec@1 48.500 (48.375)	Prec@5 77.000 (78.629)
Epoch: [54][1180/9018]	Time 0.637 (0.628)	Data 0.001 (0.005)	Loss 1.9353 (1.9954)	Prec@1 48.500 (48.371)	Prec@5 81.000 (78.626)
Epoch: [54][1190/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 2.2025 (1.9961)	Prec@1 45.000 (48.364)	Prec@5 75.000 (78.610)
Epoch: [54][1200/9018]	Time 0.635 (0.628)	Data 0.012 (0.005)	Loss 1.8583 (1.9963)	Prec@1 50.000 (48.361)	Prec@5 82.500 (78.606)
Epoch: [54][1210/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 1.8611 (1.9963)	Prec@1 52.000 (48.353)	Prec@5 82.500 (78.606)
Epoch: [54][1220/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 2.1151 (1.9963)	Prec@1 47.000 (48.354)	Prec@5 79.000 (78.607)
Epoch: [54][1230/9018]	Time 0.608 (0.628)	Data 0.001 (0.005)	Loss 2.1346 (1.9969)	Prec@1 47.500 (48.341)	Prec@5 76.000 (78.604)
Epoch: [54][1240/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 1.8434 (1.9966)	Prec@1 49.000 (48.340)	Prec@5 83.500 (78.613)
Epoch: [54][1250/9018]	Time 0.606 (0.628)	Data 0.001 (0.005)	Loss 2.1085 (1.9962)	Prec@1 44.000 (48.359)	Prec@5 76.000 (78.614)
Epoch: [54][1260/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 2.0182 (1.9962)	Prec@1 46.000 (48.361)	Prec@5 78.000 (78.621)
Epoch: [54][1270/9018]	Time 0.627 (0.628)	Data 0.013 (0.005)	Loss 2.1264 (1.9960)	Prec@1 43.000 (48.361)	Prec@5 80.500 (78.626)
Epoch: [54][1280/9018]	Time 0.737 (0.628)	Data 0.002 (0.005)	Loss 2.1904 (1.9961)	Prec@1 46.000 (48.360)	Prec@5 76.500 (78.630)
Epoch: [54][1290/9018]	Time 0.625 (0.628)	Data 0.001 (0.005)	Loss 1.8784 (1.9962)	Prec@1 51.000 (48.361)	Prec@5 81.500 (78.624)
Epoch: [54][1300/9018]	Time 0.608 (0.628)	Data 0.003 (0.005)	Loss 2.0292 (1.9959)	Prec@1 47.500 (48.365)	Prec@5 81.500 (78.634)
Epoch: [54][1310/9018]	Time 0.611 (0.627)	Data 0.001 (0.005)	Loss 1.9858 (1.9960)	Prec@1 52.000 (48.371)	Prec@5 80.000 (78.637)
Epoch: [54][1320/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 1.9558 (1.9963)	Prec@1 49.500 (48.365)	Prec@5 78.500 (78.641)
Epoch: [54][1330/9018]	Time 0.766 (0.628)	Data 0.001 (0.005)	Loss 1.9600 (1.9961)	Prec@1 51.000 (48.362)	Prec@5 76.000 (78.647)
Epoch: [54][1340/9018]	Time 0.604 (0.628)	Data 0.007 (0.005)	Loss 2.0917 (1.9964)	Prec@1 47.500 (48.353)	Prec@5 78.500 (78.642)
Epoch: [54][1350/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 2.1872 (1.9963)	Prec@1 46.500 (48.353)	Prec@5 72.000 (78.638)
Epoch: [54][1360/9018]	Time 0.626 (0.628)	Data 0.014 (0.005)	Loss 2.1443 (1.9961)	Prec@1 45.000 (48.354)	Prec@5 71.500 (78.640)
Epoch: [54][1370/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 1.9153 (1.9954)	Prec@1 49.500 (48.358)	Prec@5 79.000 (78.650)
Epoch: [54][1380/9018]	Time 0.607 (0.628)	Data 0.001 (0.004)	Loss 2.0821 (1.9953)	Prec@1 48.500 (48.372)	Prec@5 76.000 (78.647)
Epoch: [54][1390/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 2.1626 (1.9954)	Prec@1 49.000 (48.370)	Prec@5 75.500 (78.651)
Epoch: [54][1400/9018]	Time 0.625 (0.628)	Data 0.001 (0.004)	Loss 2.1618 (1.9958)	Prec@1 44.000 (48.367)	Prec@5 75.500 (78.644)
Epoch: [54][1410/9018]	Time 0.602 (0.627)	Data 0.001 (0.004)	Loss 2.3006 (1.9961)	Prec@1 40.500 (48.360)	Prec@5 71.000 (78.650)
Epoch: [54][1420/9018]	Time 0.625 (0.627)	Data 0.002 (0.004)	Loss 2.1045 (1.9963)	Prec@1 43.500 (48.349)	Prec@5 75.000 (78.642)
Epoch: [54][1430/9018]	Time 0.600 (0.627)	Data 0.001 (0.004)	Loss 2.0227 (1.9969)	Prec@1 44.500 (48.328)	Prec@5 80.000 (78.636)
Epoch: [54][1440/9018]	Time 0.640 (0.627)	Data 0.001 (0.004)	Loss 2.1047 (1.9971)	Prec@1 48.500 (48.315)	Prec@5 75.500 (78.639)
Epoch: [54][1450/9018]	Time 0.631 (0.627)	Data 0.001 (0.004)	Loss 1.9649 (1.9975)	Prec@1 47.000 (48.310)	Prec@5 80.500 (78.637)
Epoch: [54][1460/9018]	Time 0.637 (0.627)	Data 0.001 (0.004)	Loss 1.9268 (1.9976)	Prec@1 47.000 (48.300)	Prec@5 77.500 (78.635)
Epoch: [54][1470/9018]	Time 0.629 (0.627)	Data 0.001 (0.004)	Loss 2.0825 (1.9978)	Prec@1 44.000 (48.293)	Prec@5 79.000 (78.626)
Epoch: [54][1480/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 1.9254 (1.9981)	Prec@1 48.000 (48.283)	Prec@5 82.000 (78.623)
Epoch: [54][1490/9018]	Time 0.600 (0.627)	Data 0.001 (0.004)	Loss 1.9904 (1.9981)	Prec@1 50.500 (48.280)	Prec@5 77.000 (78.622)
Epoch: [54][1500/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 1.8947 (1.9978)	Prec@1 46.000 (48.291)	Prec@5 79.500 (78.627)
Epoch: [54][1510/9018]	Time 0.625 (0.627)	Data 0.001 (0.004)	Loss 1.8229 (1.9978)	Prec@1 53.500 (48.297)	Prec@5 81.500 (78.620)
Epoch: [54][1520/9018]	Time 0.613 (0.627)	Data 0.001 (0.004)	Loss 2.0546 (1.9977)	Prec@1 49.500 (48.296)	Prec@5 74.500 (78.621)
Epoch: [54][1530/9018]	Time 0.604 (0.627)	Data 0.001 (0.004)	Loss 1.9356 (1.9972)	Prec@1 53.000 (48.302)	Prec@5 79.000 (78.623)
Epoch: [54][1540/9018]	Time 0.607 (0.627)	Data 0.001 (0.004)	Loss 1.9156 (1.9968)	Prec@1 50.000 (48.308)	Prec@5 80.000 (78.628)
Epoch: [54][1550/9018]	Time 0.605 (0.627)	Data 0.001 (0.004)	Loss 1.9584 (1.9969)	Prec@1 50.000 (48.314)	Prec@5 82.000 (78.631)
Epoch: [54][1560/9018]	Time 0.614 (0.627)	Data 0.001 (0.004)	Loss 2.0122 (1.9967)	Prec@1 49.500 (48.318)	Prec@5 77.000 (78.635)
Epoch: [54][1570/9018]	Time 0.595 (0.627)	Data 0.001 (0.004)	Loss 2.0640 (1.9966)	Prec@1 47.500 (48.312)	Prec@5 77.500 (78.641)
Epoch: [54][1580/9018]	Time 0.618 (0.627)	Data 0.001 (0.004)	Loss 1.9090 (1.9966)	Prec@1 52.500 (48.312)	Prec@5 80.500 (78.642)
Epoch: [54][1590/9018]	Time 0.597 (0.627)	Data 0.001 (0.004)	Loss 1.9262 (1.9964)	Prec@1 49.500 (48.323)	Prec@5 80.500 (78.640)
Epoch: [54][1600/9018]	Time 0.617 (0.627)	Data 0.001 (0.004)	Loss 2.0312 (1.9960)	Prec@1 47.000 (48.331)	Prec@5 81.500 (78.649)
Epoch: [54][1610/9018]	Time 0.758 (0.627)	Data 0.001 (0.004)	Loss 1.9917 (1.9958)	Prec@1 48.500 (48.334)	Prec@5 83.500 (78.655)
Epoch: [54][1620/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 2.0096 (1.9959)	Prec@1 52.000 (48.336)	Prec@5 74.500 (78.648)
Epoch: [54][1630/9018]	Time 0.603 (0.627)	Data 0.001 (0.004)	Loss 1.7619 (1.9953)	Prec@1 50.000 (48.347)	Prec@5 83.500 (78.662)
Epoch: [54][1640/9018]	Time 0.604 (0.627)	Data 0.001 (0.004)	Loss 2.2681 (1.9959)	Prec@1 44.000 (48.333)	Prec@5 74.500 (78.646)
Epoch: [54][1650/9018]	Time 0.607 (0.627)	Data 0.001 (0.004)	Loss 1.8078 (1.9960)	Prec@1 51.000 (48.337)	Prec@5 83.500 (78.645)
Epoch: [54][1660/9018]	Time 0.779 (0.627)	Data 0.001 (0.004)	Loss 1.9327 (1.9956)	Prec@1 53.000 (48.347)	Prec@5 77.500 (78.651)
Epoch: [54][1670/9018]	Time 0.615 (0.627)	Data 0.013 (0.004)	Loss 2.3053 (1.9961)	Prec@1 41.500 (48.336)	Prec@5 75.000 (78.643)
Epoch: [54][1680/9018]	Time 0.620 (0.627)	Data 0.001 (0.004)	Loss 2.0463 (1.9965)	Prec@1 46.000 (48.322)	Prec@5 78.500 (78.637)
Epoch: [54][1690/9018]	Time 0.619 (0.627)	Data 0.001 (0.004)	Loss 2.0116 (1.9967)	Prec@1 50.500 (48.329)	Prec@5 79.000 (78.635)
Epoch: [54][1700/9018]	Time 0.625 (0.627)	Data 0.001 (0.004)	Loss 1.8269 (1.9965)	Prec@1 51.500 (48.337)	Prec@5 82.000 (78.640)
Epoch: [54][1710/9018]	Time 0.610 (0.627)	Data 0.001 (0.004)	Loss 2.1219 (1.9967)	Prec@1 46.500 (48.332)	Prec@5 74.500 (78.634)
Epoch: [54][1720/9018]	Time 0.621 (0.627)	Data 0.001 (0.004)	Loss 2.0396 (1.9968)	Prec@1 47.500 (48.334)	Prec@5 76.500 (78.636)
Epoch: [54][1730/9018]	Time 0.618 (0.627)	Data 0.013 (0.004)	Loss 1.8526 (1.9970)	Prec@1 46.000 (48.329)	Prec@5 81.000 (78.631)
Epoch: [54][1740/9018]	Time 0.631 (0.627)	Data 0.001 (0.004)	Loss 2.0549 (1.9974)	Prec@1 47.500 (48.315)	Prec@5 79.000 (78.627)
Epoch: [54][1750/9018]	Time 0.598 (0.627)	Data 0.001 (0.004)	Loss 2.2125 (1.9976)	Prec@1 43.500 (48.314)	Prec@5 76.000 (78.626)
Epoch: [54][1760/9018]	Time 0.627 (0.627)	Data 0.001 (0.004)	Loss 2.0134 (1.9978)	Prec@1 46.000 (48.306)	Prec@5 76.000 (78.627)
Epoch: [54][1770/9018]	Time 0.597 (0.627)	Data 0.001 (0.004)	Loss 1.9281 (1.9979)	Prec@1 49.500 (48.316)	Prec@5 81.500 (78.624)
Epoch: [54][1780/9018]	Time 0.630 (0.627)	Data 0.001 (0.004)	Loss 1.7976 (1.9982)	Prec@1 50.500 (48.307)	Prec@5 83.000 (78.613)
Epoch: [54][1790/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 1.8559 (1.9982)	Prec@1 51.500 (48.298)	Prec@5 79.500 (78.619)
Epoch: [54][1800/9018]	Time 0.599 (0.627)	Data 0.001 (0.004)	Loss 2.0687 (1.9983)	Prec@1 46.500 (48.292)	Prec@5 75.500 (78.617)
Epoch: [54][1810/9018]	Time 0.650 (0.627)	Data 0.001 (0.004)	Loss 2.0167 (1.9981)	Prec@1 50.500 (48.300)	Prec@5 78.000 (78.622)
Epoch: [54][1820/9018]	Time 0.597 (0.627)	Data 0.001 (0.004)	Loss 1.9306 (1.9979)	Prec@1 48.500 (48.302)	Prec@5 81.000 (78.629)
Epoch: [54][1830/9018]	Time 0.617 (0.627)	Data 0.001 (0.004)	Loss 2.1712 (1.9981)	Prec@1 44.000 (48.302)	Prec@5 74.500 (78.624)
Epoch: [54][1840/9018]	Time 0.599 (0.627)	Data 0.001 (0.004)	Loss 1.9670 (1.9977)	Prec@1 47.000 (48.309)	Prec@5 79.500 (78.631)
Epoch: [54][1850/9018]	Time 0.625 (0.627)	Data 0.015 (0.004)	Loss 2.1867 (1.9980)	Prec@1 43.500 (48.304)	Prec@5 78.000 (78.625)
Epoch: [54][1860/9018]	Time 0.619 (0.627)	Data 0.017 (0.004)	Loss 1.8775 (1.9983)	Prec@1 51.000 (48.303)	Prec@5 79.500 (78.623)
Epoch: [54][1870/9018]	Time 0.607 (0.627)	Data 0.010 (0.004)	Loss 2.0529 (1.9986)	Prec@1 51.000 (48.301)	Prec@5 78.500 (78.615)
Epoch: [54][1880/9018]	Time 0.640 (0.627)	Data 0.016 (0.004)	Loss 2.1482 (1.9987)	Prec@1 44.500 (48.299)	Prec@5 74.000 (78.609)
Epoch: [54][1890/9018]	Time 0.604 (0.627)	Data 0.001 (0.004)	Loss 2.1783 (1.9986)	Prec@1 49.000 (48.295)	Prec@5 73.500 (78.610)
Epoch: [54][1900/9018]	Time 0.597 (0.627)	Data 0.001 (0.004)	Loss 2.0970 (1.9989)	Prec@1 48.000 (48.297)	Prec@5 78.500 (78.611)
Epoch: [54][1910/9018]	Time 0.625 (0.627)	Data 0.014 (0.004)	Loss 2.0143 (1.9985)	Prec@1 50.000 (48.303)	Prec@5 78.500 (78.615)
Epoch: [54][1920/9018]	Time 0.605 (0.627)	Data 0.001 (0.004)	Loss 1.9002 (1.9986)	Prec@1 50.500 (48.297)	Prec@5 80.000 (78.619)
Epoch: [54][1930/9018]	Time 0.653 (0.627)	Data 0.001 (0.004)	Loss 1.9993 (1.9983)	Prec@1 51.000 (48.302)	Prec@5 80.000 (78.626)
Epoch: [54][1940/9018]	Time 0.760 (0.627)	Data 0.007 (0.004)	Loss 2.3719 (1.9986)	Prec@1 41.500 (48.293)	Prec@5 70.000 (78.621)
Epoch: [54][1950/9018]	Time 0.626 (0.627)	Data 0.001 (0.004)	Loss 2.1478 (1.9987)	Prec@1 46.000 (48.293)	Prec@5 78.500 (78.621)
Epoch: [54][1960/9018]	Time 0.594 (0.627)	Data 0.001 (0.004)	Loss 1.9056 (1.9986)	Prec@1 51.000 (48.295)	Prec@5 80.000 (78.621)
Epoch: [54][1970/9018]	Time 0.596 (0.627)	Data 0.001 (0.004)	Loss 2.1996 (1.9990)	Prec@1 47.000 (48.287)	Prec@5 76.000 (78.617)
Epoch: [54][1980/9018]	Time 0.598 (0.627)	Data 0.001 (0.004)	Loss 2.0545 (1.9988)	Prec@1 44.000 (48.287)	Prec@5 80.000 (78.620)
Epoch: [54][1990/9018]	Time 0.720 (0.627)	Data 0.001 (0.004)	Loss 2.0780 (1.9991)	Prec@1 44.500 (48.279)	Prec@5 74.000 (78.615)
Epoch: [54][2000/9018]	Time 0.594 (0.627)	Data 0.001 (0.004)	Loss 2.0673 (1.9990)	Prec@1 49.500 (48.278)	Prec@5 79.500 (78.621)
Epoch: [54][2010/9018]	Time 0.604 (0.627)	Data 0.001 (0.004)	Loss 2.0092 (1.9988)	Prec@1 48.000 (48.282)	Prec@5 76.000 (78.625)
Epoch: [54][2020/9018]	Time 0.619 (0.627)	Data 0.001 (0.004)	Loss 1.8871 (1.9986)	Prec@1 53.500 (48.285)	Prec@5 78.500 (78.629)
Epoch: [54][2030/9018]	Time 0.616 (0.627)	Data 0.001 (0.004)	Loss 1.8562 (1.9985)	Prec@1 56.500 (48.297)	Prec@5 80.000 (78.631)
Epoch: [54][2040/9018]	Time 0.624 (0.627)	Data 0.001 (0.004)	Loss 2.0843 (1.9987)	Prec@1 46.000 (48.292)	Prec@5 79.000 (78.625)
Epoch: [54][2050/9018]	Time 0.607 (0.627)	Data 0.001 (0.004)	Loss 1.9122 (1.9988)	Prec@1 50.000 (48.293)	Prec@5 81.500 (78.624)
Epoch: [54][2060/9018]	Time 0.611 (0.627)	Data 0.002 (0.004)	Loss 1.9529 (1.9988)	Prec@1 50.000 (48.296)	Prec@5 77.000 (78.625)
Epoch: [54][2070/9018]	Time 0.611 (0.627)	Data 0.001 (0.004)	Loss 2.0916 (1.9988)	Prec@1 49.500 (48.294)	Prec@5 79.500 (78.623)
Epoch: [54][2080/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 2.0198 (1.9988)	Prec@1 45.000 (48.295)	Prec@5 81.500 (78.625)
Epoch: [54][2090/9018]	Time 0.617 (0.627)	Data 0.001 (0.004)	Loss 1.9386 (1.9988)	Prec@1 48.000 (48.290)	Prec@5 81.000 (78.621)
Epoch: [54][2100/9018]	Time 0.617 (0.627)	Data 0.001 (0.004)	Loss 1.9009 (1.9987)	Prec@1 50.000 (48.293)	Prec@5 78.500 (78.623)
Epoch: [54][2110/9018]	Time 0.625 (0.627)	Data 0.001 (0.004)	Loss 2.0424 (1.9986)	Prec@1 48.500 (48.294)	Prec@5 75.500 (78.622)
Epoch: [54][2120/9018]	Time 0.618 (0.627)	Data 0.001 (0.004)	Loss 1.7931 (1.9984)	Prec@1 52.000 (48.292)	Prec@5 81.000 (78.625)
Epoch: [54][2130/9018]	Time 0.604 (0.627)	Data 0.001 (0.004)	Loss 1.9889 (1.9985)	Prec@1 45.000 (48.283)	Prec@5 79.000 (78.626)
Epoch: [54][2140/9018]	Time 0.622 (0.627)	Data 0.001 (0.004)	Loss 1.9530 (1.9982)	Prec@1 48.500 (48.290)	Prec@5 79.500 (78.626)
Epoch: [54][2150/9018]	Time 0.624 (0.627)	Data 0.001 (0.004)	Loss 1.9225 (1.9982)	Prec@1 53.000 (48.286)	Prec@5 82.000 (78.627)
Epoch: [54][2160/9018]	Time 0.613 (0.627)	Data 0.001 (0.004)	Loss 1.9323 (1.9982)	Prec@1 53.500 (48.286)	Prec@5 80.500 (78.627)
Epoch: [54][2170/9018]	Time 0.612 (0.627)	Data 0.017 (0.004)	Loss 1.8807 (1.9982)	Prec@1 49.500 (48.283)	Prec@5 80.500 (78.623)
Epoch: [54][2180/9018]	Time 0.605 (0.627)	Data 0.001 (0.004)	Loss 2.2452 (1.9982)	Prec@1 41.000 (48.285)	Prec@5 73.000 (78.621)
Epoch: [54][2190/9018]	Time 0.619 (0.627)	Data 0.001 (0.004)	Loss 1.9431 (1.9982)	Prec@1 46.000 (48.276)	Prec@5 80.000 (78.620)
Epoch: [54][2200/9018]	Time 0.618 (0.627)	Data 0.001 (0.004)	Loss 2.1195 (1.9978)	Prec@1 51.500 (48.284)	Prec@5 76.500 (78.625)
Epoch: [54][2210/9018]	Time 0.634 (0.627)	Data 0.001 (0.004)	Loss 1.8584 (1.9978)	Prec@1 49.000 (48.281)	Prec@5 79.000 (78.626)
Epoch: [54][2220/9018]	Time 0.677 (0.627)	Data 0.001 (0.004)	Loss 1.9795 (1.9978)	Prec@1 52.500 (48.282)	Prec@5 75.000 (78.620)
Epoch: [54][2230/9018]	Time 0.616 (0.627)	Data 0.001 (0.004)	Loss 1.9738 (1.9978)	Prec@1 50.500 (48.285)	Prec@5 79.500 (78.623)
Epoch: [54][2240/9018]	Time 0.603 (0.627)	Data 0.001 (0.004)	Loss 2.2405 (1.9978)	Prec@1 43.000 (48.284)	Prec@5 75.500 (78.624)
Epoch: [54][2250/9018]	Time 0.638 (0.627)	Data 0.001 (0.004)	Loss 1.9817 (1.9978)	Prec@1 49.000 (48.291)	Prec@5 80.000 (78.628)
Epoch: [54][2260/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 1.9737 (1.9981)	Prec@1 46.500 (48.287)	Prec@5 78.500 (78.625)
Epoch: [54][2270/9018]	Time 0.774 (0.627)	Data 0.001 (0.004)	Loss 1.9660 (1.9981)	Prec@1 49.000 (48.284)	Prec@5 80.000 (78.627)
Epoch: [54][2280/9018]	Time 0.616 (0.627)	Data 0.001 (0.004)	Loss 1.9062 (1.9982)	Prec@1 50.000 (48.280)	Prec@5 85.500 (78.627)
Epoch: [54][2290/9018]	Time 0.645 (0.627)	Data 0.002 (0.004)	Loss 2.1114 (1.9984)	Prec@1 48.500 (48.279)	Prec@5 78.000 (78.628)
Epoch: [54][2300/9018]	Time 0.625 (0.627)	Data 0.001 (0.004)	Loss 1.9596 (1.9981)	Prec@1 51.500 (48.282)	Prec@5 81.000 (78.635)
Epoch: [54][2310/9018]	Time 0.620 (0.627)	Data 0.001 (0.004)	Loss 1.9773 (1.9984)	Prec@1 49.000 (48.280)	Prec@5 76.500 (78.627)
Epoch: [54][2320/9018]	Time 0.752 (0.627)	Data 0.001 (0.004)	Loss 2.1585 (1.9984)	Prec@1 48.000 (48.280)	Prec@5 72.000 (78.621)
Epoch: [54][2330/9018]	Time 0.600 (0.627)	Data 0.001 (0.004)	Loss 2.0289 (1.9982)	Prec@1 52.000 (48.286)	Prec@5 78.500 (78.627)
Epoch: [54][2340/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 2.0059 (1.9980)	Prec@1 46.500 (48.289)	Prec@5 75.000 (78.630)
Epoch: [54][2350/9018]	Time 0.626 (0.628)	Data 0.001 (0.005)	Loss 1.9203 (1.9981)	Prec@1 49.500 (48.289)	Prec@5 75.500 (78.627)
Epoch: [54][2360/9018]	Time 0.627 (0.628)	Data 0.001 (0.005)	Loss 1.9624 (1.9980)	Prec@1 49.500 (48.291)	Prec@5 80.500 (78.627)
Epoch: [54][2370/9018]	Time 0.612 (0.628)	Data 0.001 (0.005)	Loss 2.0188 (1.9978)	Prec@1 47.500 (48.293)	Prec@5 79.500 (78.633)
Epoch: [54][2380/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 1.8386 (1.9976)	Prec@1 51.500 (48.296)	Prec@5 83.000 (78.635)
Epoch: [54][2390/9018]	Time 0.637 (0.627)	Data 0.016 (0.005)	Loss 2.0554 (1.9976)	Prec@1 46.000 (48.301)	Prec@5 77.500 (78.633)
Epoch: [54][2400/9018]	Time 0.610 (0.627)	Data 0.001 (0.005)	Loss 2.1740 (1.9976)	Prec@1 43.500 (48.301)	Prec@5 75.500 (78.632)
Epoch: [54][2410/9018]	Time 0.619 (0.627)	Data 0.001 (0.005)	Loss 2.1032 (1.9976)	Prec@1 43.500 (48.302)	Prec@5 79.500 (78.628)
Epoch: [54][2420/9018]	Time 0.630 (0.627)	Data 0.001 (0.005)	Loss 2.0047 (1.9977)	Prec@1 49.500 (48.300)	Prec@5 79.500 (78.625)
Epoch: [54][2430/9018]	Time 0.629 (0.627)	Data 0.001 (0.005)	Loss 2.1719 (1.9978)	Prec@1 43.000 (48.292)	Prec@5 76.500 (78.626)
Epoch: [54][2440/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 1.9474 (1.9979)	Prec@1 46.500 (48.292)	Prec@5 77.500 (78.625)
Epoch: [54][2450/9018]	Time 0.613 (0.627)	Data 0.001 (0.004)	Loss 2.1115 (1.9980)	Prec@1 48.000 (48.289)	Prec@5 73.500 (78.620)
Epoch: [54][2460/9018]	Time 0.604 (0.627)	Data 0.001 (0.004)	Loss 1.8924 (1.9983)	Prec@1 46.500 (48.284)	Prec@5 82.500 (78.619)
Epoch: [54][2470/9018]	Time 0.625 (0.627)	Data 0.001 (0.004)	Loss 1.9825 (1.9983)	Prec@1 47.000 (48.283)	Prec@5 79.000 (78.620)
Epoch: [54][2480/9018]	Time 0.610 (0.627)	Data 0.001 (0.004)	Loss 2.0915 (1.9984)	Prec@1 43.500 (48.283)	Prec@5 77.500 (78.617)
Epoch: [54][2490/9018]	Time 0.627 (0.627)	Data 0.001 (0.004)	Loss 1.8737 (1.9987)	Prec@1 47.500 (48.272)	Prec@5 80.000 (78.610)
Epoch: [54][2500/9018]	Time 0.646 (0.627)	Data 0.003 (0.004)	Loss 2.0836 (1.9987)	Prec@1 47.000 (48.267)	Prec@5 78.000 (78.613)
Epoch: [54][2510/9018]	Time 0.616 (0.627)	Data 0.013 (0.004)	Loss 2.2912 (1.9987)	Prec@1 42.000 (48.267)	Prec@5 71.500 (78.608)
Epoch: [54][2520/9018]	Time 0.602 (0.627)	Data 0.001 (0.004)	Loss 1.8271 (1.9987)	Prec@1 47.500 (48.261)	Prec@5 83.000 (78.607)
Epoch: [54][2530/9018]	Time 2.089 (0.628)	Data 1.496 (0.005)	Loss 1.7681 (1.9985)	Prec@1 53.000 (48.266)	Prec@5 85.000 (78.616)
Epoch: [54][2540/9018]	Time 0.618 (0.628)	Data 0.001 (0.005)	Loss 2.2500 (1.9985)	Prec@1 46.000 (48.270)	Prec@5 73.500 (78.616)
Epoch: [54][2550/9018]	Time 0.612 (0.628)	Data 0.001 (0.005)	Loss 1.9907 (1.9986)	Prec@1 49.000 (48.261)	Prec@5 79.000 (78.612)
Epoch: [54][2560/9018]	Time 0.631 (0.628)	Data 0.014 (0.005)	Loss 2.0309 (1.9985)	Prec@1 44.000 (48.264)	Prec@5 79.500 (78.615)
Epoch: [54][2570/9018]	Time 0.625 (0.628)	Data 0.001 (0.005)	Loss 2.2001 (1.9985)	Prec@1 39.000 (48.263)	Prec@5 76.500 (78.622)
Epoch: [54][2580/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 2.1097 (1.9986)	Prec@1 47.500 (48.260)	Prec@5 76.500 (78.622)
Epoch: [54][2590/9018]	Time 0.615 (0.628)	Data 0.017 (0.005)	Loss 2.0689 (1.9985)	Prec@1 46.500 (48.260)	Prec@5 76.000 (78.621)
Epoch: [54][2600/9018]	Time 0.782 (0.628)	Data 0.001 (0.005)	Loss 2.2598 (1.9988)	Prec@1 41.500 (48.256)	Prec@5 73.500 (78.613)
Epoch: [54][2610/9018]	Time 0.602 (0.628)	Data 0.001 (0.005)	Loss 1.9206 (1.9988)	Prec@1 51.500 (48.258)	Prec@5 79.500 (78.609)
Epoch: [54][2620/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 2.0774 (1.9988)	Prec@1 45.000 (48.260)	Prec@5 76.500 (78.606)
Epoch: [54][2630/9018]	Time 0.644 (0.628)	Data 0.001 (0.005)	Loss 2.0145 (1.9987)	Prec@1 47.500 (48.266)	Prec@5 78.500 (78.608)
Epoch: [54][2640/9018]	Time 0.592 (0.628)	Data 0.001 (0.005)	Loss 1.9781 (1.9988)	Prec@1 50.000 (48.259)	Prec@5 78.000 (78.605)
Epoch: [54][2650/9018]	Time 0.772 (0.628)	Data 0.001 (0.005)	Loss 2.1570 (1.9989)	Prec@1 52.500 (48.261)	Prec@5 74.000 (78.605)
Epoch: [54][2660/9018]	Time 0.625 (0.628)	Data 0.001 (0.005)	Loss 2.1908 (1.9990)	Prec@1 45.000 (48.255)	Prec@5 78.000 (78.609)
Epoch: [54][2670/9018]	Time 0.623 (0.628)	Data 0.001 (0.005)	Loss 2.0297 (1.9991)	Prec@1 48.500 (48.249)	Prec@5 79.500 (78.610)
Epoch: [54][2680/9018]	Time 0.596 (0.628)	Data 0.001 (0.005)	Loss 2.0637 (1.9991)	Prec@1 47.000 (48.251)	Prec@5 76.500 (78.612)
Epoch: [54][2690/9018]	Time 0.609 (0.628)	Data 0.013 (0.005)	Loss 2.0021 (1.9991)	Prec@1 46.500 (48.251)	Prec@5 79.000 (78.612)
Epoch: [54][2700/9018]	Time 0.633 (0.628)	Data 0.001 (0.005)	Loss 2.1873 (1.9990)	Prec@1 43.000 (48.254)	Prec@5 74.000 (78.614)
Epoch: [54][2710/9018]	Time 0.626 (0.628)	Data 0.001 (0.005)	Loss 1.9350 (1.9988)	Prec@1 46.000 (48.255)	Prec@5 81.500 (78.616)
Epoch: [54][2720/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 2.2170 (1.9988)	Prec@1 44.500 (48.252)	Prec@5 73.000 (78.616)
Epoch: [54][2730/9018]	Time 0.631 (0.628)	Data 0.001 (0.005)	Loss 1.8088 (1.9989)	Prec@1 50.000 (48.248)	Prec@5 82.000 (78.611)
Epoch: [54][2740/9018]	Time 0.610 (0.628)	Data 0.001 (0.005)	Loss 1.9935 (1.9990)	Prec@1 50.000 (48.247)	Prec@5 78.000 (78.609)
Epoch: [54][2750/9018]	Time 0.627 (0.628)	Data 0.001 (0.005)	Loss 2.0401 (1.9992)	Prec@1 49.000 (48.241)	Prec@5 78.500 (78.607)
Epoch: [54][2760/9018]	Time 0.625 (0.628)	Data 0.014 (0.005)	Loss 2.1653 (1.9993)	Prec@1 45.000 (48.238)	Prec@5 78.500 (78.606)
Epoch: [54][2770/9018]	Time 0.625 (0.628)	Data 0.001 (0.005)	Loss 2.1247 (1.9995)	Prec@1 47.000 (48.234)	Prec@5 78.500 (78.603)
Epoch: [54][2780/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 2.1963 (1.9997)	Prec@1 43.500 (48.231)	Prec@5 73.000 (78.599)
Epoch: [54][2790/9018]	Time 0.610 (0.628)	Data 0.001 (0.005)	Loss 2.0671 (1.9997)	Prec@1 47.500 (48.232)	Prec@5 77.000 (78.599)
Epoch: [54][2800/9018]	Time 0.631 (0.628)	Data 0.001 (0.005)	Loss 1.8892 (1.9996)	Prec@1 51.500 (48.235)	Prec@5 81.500 (78.601)
Epoch: [54][2810/9018]	Time 0.652 (0.628)	Data 0.014 (0.005)	Loss 2.0436 (1.9994)	Prec@1 50.500 (48.240)	Prec@5 77.000 (78.603)
Epoch: [54][2820/9018]	Time 0.627 (0.628)	Data 0.001 (0.005)	Loss 2.1846 (1.9995)	Prec@1 42.500 (48.236)	Prec@5 76.500 (78.607)
Epoch: [54][2830/9018]	Time 0.623 (0.628)	Data 0.001 (0.005)	Loss 2.0038 (1.9995)	Prec@1 48.500 (48.235)	Prec@5 79.000 (78.611)
Epoch: [54][2840/9018]	Time 0.598 (0.628)	Data 0.001 (0.005)	Loss 1.9910 (1.9996)	Prec@1 48.000 (48.232)	Prec@5 78.500 (78.610)
Epoch: [54][2850/9018]	Time 0.638 (0.628)	Data 0.016 (0.005)	Loss 1.9440 (1.9997)	Prec@1 52.000 (48.230)	Prec@5 81.500 (78.608)
Epoch: [54][2860/9018]	Time 0.626 (0.628)	Data 0.007 (0.005)	Loss 1.7442 (1.9997)	Prec@1 51.000 (48.227)	Prec@5 81.500 (78.607)
Epoch: [54][2870/9018]	Time 0.637 (0.628)	Data 0.001 (0.005)	Loss 2.0383 (1.9998)	Prec@1 46.500 (48.225)	Prec@5 77.000 (78.608)
Epoch: [54][2880/9018]	Time 0.639 (0.628)	Data 0.016 (0.005)	Loss 2.1245 (1.9997)	Prec@1 43.500 (48.221)	Prec@5 78.500 (78.611)
Epoch: [54][2890/9018]	Time 0.593 (0.628)	Data 0.001 (0.005)	Loss 1.9882 (1.9996)	Prec@1 51.500 (48.225)	Prec@5 79.000 (78.617)
Epoch: [54][2900/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 1.9986 (1.9998)	Prec@1 47.000 (48.222)	Prec@5 79.000 (78.615)
Epoch: [54][2910/9018]	Time 0.605 (0.628)	Data 0.001 (0.005)	Loss 2.2742 (1.9998)	Prec@1 43.000 (48.220)	Prec@5 70.000 (78.616)
Epoch: [54][2920/9018]	Time 0.608 (0.628)	Data 0.001 (0.005)	Loss 1.7985 (1.9997)	Prec@1 56.500 (48.222)	Prec@5 80.000 (78.618)
Epoch: [54][2930/9018]	Time 0.797 (0.628)	Data 0.001 (0.005)	Loss 2.0942 (1.9998)	Prec@1 46.000 (48.221)	Prec@5 80.500 (78.617)
Epoch: [54][2940/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 2.2325 (2.0002)	Prec@1 44.500 (48.216)	Prec@5 73.500 (78.610)
Epoch: [54][2950/9018]	Time 0.621 (0.628)	Data 0.016 (0.005)	Loss 1.9679 (2.0001)	Prec@1 50.500 (48.214)	Prec@5 77.000 (78.613)
Epoch: [54][2960/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 2.1785 (2.0002)	Prec@1 45.500 (48.217)	Prec@5 72.500 (78.610)
Epoch: [54][2970/9018]	Time 0.615 (0.628)	Data 0.001 (0.005)	Loss 1.7752 (2.0001)	Prec@1 54.500 (48.217)	Prec@5 83.000 (78.610)
Epoch: [54][2980/9018]	Time 0.741 (0.628)	Data 0.001 (0.005)	Loss 2.0845 (2.0003)	Prec@1 48.000 (48.216)	Prec@5 76.500 (78.604)
Epoch: [54][2990/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 2.2282 (2.0001)	Prec@1 39.000 (48.213)	Prec@5 75.500 (78.607)
Epoch: [54][3000/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 1.9271 (1.9999)	Prec@1 45.000 (48.213)	Prec@5 80.000 (78.611)
Epoch: [54][3010/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 1.9792 (2.0000)	Prec@1 51.500 (48.213)	Prec@5 77.500 (78.608)
Epoch: [54][3020/9018]	Time 0.612 (0.628)	Data 0.001 (0.005)	Loss 2.0802 (1.9999)	Prec@1 42.000 (48.215)	Prec@5 78.500 (78.613)
Epoch: [54][3030/9018]	Time 0.640 (0.628)	Data 0.017 (0.005)	Loss 2.1155 (2.0000)	Prec@1 46.000 (48.215)	Prec@5 73.000 (78.608)
Epoch: [54][3040/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 2.0697 (2.0001)	Prec@1 49.000 (48.215)	Prec@5 73.500 (78.608)
Epoch: [54][3050/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 2.0376 (2.0001)	Prec@1 48.000 (48.214)	Prec@5 75.500 (78.605)
Epoch: [54][3060/9018]	Time 0.610 (0.628)	Data 0.015 (0.005)	Loss 1.9505 (2.0003)	Prec@1 49.000 (48.210)	Prec@5 77.500 (78.599)
Epoch: [54][3070/9018]	Time 0.634 (0.628)	Data 0.001 (0.005)	Loss 1.9244 (2.0006)	Prec@1 46.500 (48.206)	Prec@5 81.500 (78.593)
Epoch: [54][3080/9018]	Time 0.604 (0.628)	Data 0.001 (0.005)	Loss 1.9626 (2.0004)	Prec@1 50.000 (48.212)	Prec@5 77.000 (78.596)
Epoch: [54][3090/9018]	Time 0.605 (0.628)	Data 0.001 (0.005)	Loss 2.0564 (2.0005)	Prec@1 48.000 (48.214)	Prec@5 80.000 (78.593)
Epoch: [54][3100/9018]	Time 0.659 (0.628)	Data 0.001 (0.005)	Loss 2.1049 (2.0004)	Prec@1 45.000 (48.221)	Prec@5 77.500 (78.598)
Epoch: [54][3110/9018]	Time 0.639 (0.628)	Data 0.001 (0.005)	Loss 2.2375 (2.0005)	Prec@1 43.500 (48.219)	Prec@5 79.500 (78.594)
Epoch: [54][3120/9018]	Time 0.615 (0.628)	Data 0.001 (0.005)	Loss 2.0843 (2.0006)	Prec@1 45.000 (48.216)	Prec@5 78.500 (78.594)
Epoch: [54][3130/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 1.9733 (2.0005)	Prec@1 48.500 (48.216)	Prec@5 78.500 (78.596)
Epoch: [54][3140/9018]	Time 0.627 (0.628)	Data 0.001 (0.005)	Loss 1.9454 (2.0008)	Prec@1 45.000 (48.209)	Prec@5 80.500 (78.592)
Epoch: [54][3150/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 2.0612 (2.0009)	Prec@1 51.500 (48.208)	Prec@5 78.000 (78.588)
Epoch: [54][3160/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.7454 (2.0010)	Prec@1 52.500 (48.204)	Prec@5 84.000 (78.586)
Epoch: [54][3170/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 2.0337 (2.0008)	Prec@1 48.500 (48.210)	Prec@5 77.500 (78.586)
Epoch: [54][3180/9018]	Time 0.628 (0.628)	Data 0.006 (0.005)	Loss 2.2351 (2.0007)	Prec@1 45.500 (48.208)	Prec@5 73.000 (78.587)
Epoch: [54][3190/9018]	Time 0.636 (0.628)	Data 0.001 (0.005)	Loss 1.8769 (2.0006)	Prec@1 45.000 (48.209)	Prec@5 78.000 (78.587)
Epoch: [54][3200/9018]	Time 0.622 (0.628)	Data 0.012 (0.005)	Loss 1.9278 (2.0004)	Prec@1 54.000 (48.218)	Prec@5 78.500 (78.587)
Epoch: [54][3210/9018]	Time 0.762 (0.628)	Data 0.001 (0.005)	Loss 2.0436 (2.0003)	Prec@1 44.500 (48.217)	Prec@5 82.500 (78.591)
Epoch: [54][3220/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 1.9087 (2.0001)	Prec@1 52.000 (48.225)	Prec@5 81.000 (78.594)
Epoch: [54][3230/9018]	Time 0.647 (0.628)	Data 0.001 (0.005)	Loss 2.0576 (2.0002)	Prec@1 41.000 (48.218)	Prec@5 78.000 (78.591)
Epoch: [54][3240/9018]	Time 0.610 (0.628)	Data 0.001 (0.005)	Loss 1.9701 (2.0003)	Prec@1 45.500 (48.211)	Prec@5 78.500 (78.591)
Epoch: [54][3250/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 2.0135 (2.0003)	Prec@1 41.500 (48.206)	Prec@5 80.500 (78.594)
Epoch: [54][3260/9018]	Time 0.780 (0.628)	Data 0.001 (0.005)	Loss 2.2147 (2.0003)	Prec@1 45.500 (48.206)	Prec@5 74.000 (78.592)
Epoch: [54][3270/9018]	Time 0.613 (0.628)	Data 0.002 (0.005)	Loss 2.2258 (2.0004)	Prec@1 43.500 (48.207)	Prec@5 77.000 (78.594)
Epoch: [54][3280/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 2.1002 (2.0004)	Prec@1 51.000 (48.207)	Prec@5 76.000 (78.596)
Epoch: [54][3290/9018]	Time 0.648 (0.628)	Data 0.001 (0.005)	Loss 1.9121 (2.0002)	Prec@1 49.500 (48.210)	Prec@5 80.500 (78.598)
Epoch: [54][3300/9018]	Time 0.631 (0.628)	Data 0.016 (0.005)	Loss 2.2275 (2.0002)	Prec@1 45.500 (48.212)	Prec@5 73.500 (78.599)
Epoch: [54][3310/9018]	Time 0.625 (0.628)	Data 0.001 (0.005)	Loss 2.0578 (2.0002)	Prec@1 50.500 (48.212)	Prec@5 78.500 (78.600)
Epoch: [54][3320/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 1.9958 (2.0002)	Prec@1 48.500 (48.212)	Prec@5 78.500 (78.600)
Epoch: [54][3330/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 2.0075 (2.0001)	Prec@1 47.500 (48.211)	Prec@5 79.000 (78.601)
Epoch: [54][3340/9018]	Time 0.597 (0.628)	Data 0.001 (0.005)	Loss 2.1089 (1.9999)	Prec@1 45.000 (48.211)	Prec@5 77.000 (78.609)
Epoch: [54][3350/9018]	Time 0.637 (0.628)	Data 0.001 (0.005)	Loss 1.9067 (2.0000)	Prec@1 50.000 (48.211)	Prec@5 79.000 (78.607)
Epoch: [54][3360/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 1.9453 (2.0001)	Prec@1 46.500 (48.213)	Prec@5 80.500 (78.605)
Epoch: [54][3370/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 2.1878 (2.0001)	Prec@1 46.500 (48.213)	Prec@5 73.500 (78.604)
Epoch: [54][3380/9018]	Time 0.635 (0.628)	Data 0.001 (0.005)	Loss 2.0083 (2.0001)	Prec@1 48.500 (48.212)	Prec@5 79.500 (78.606)
Epoch: [54][3390/9018]	Time 0.634 (0.628)	Data 0.001 (0.005)	Loss 2.3255 (2.0002)	Prec@1 43.500 (48.212)	Prec@5 71.000 (78.605)
Epoch: [54][3400/9018]	Time 0.610 (0.628)	Data 0.001 (0.005)	Loss 1.9883 (2.0003)	Prec@1 48.500 (48.208)	Prec@5 78.500 (78.602)
Epoch: [54][3410/9018]	Time 0.621 (0.628)	Data 0.001 (0.005)	Loss 2.0256 (2.0005)	Prec@1 47.000 (48.203)	Prec@5 76.500 (78.598)
Epoch: [54][3420/9018]	Time 0.635 (0.628)	Data 0.015 (0.005)	Loss 1.9033 (2.0004)	Prec@1 48.500 (48.205)	Prec@5 83.000 (78.605)
Epoch: [54][3430/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 2.0679 (2.0006)	Prec@1 46.500 (48.194)	Prec@5 78.000 (78.605)
Epoch: [54][3440/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 2.0444 (2.0005)	Prec@1 44.000 (48.194)	Prec@5 76.500 (78.605)
Epoch: [54][3450/9018]	Time 0.615 (0.628)	Data 0.001 (0.005)	Loss 1.8319 (2.0006)	Prec@1 51.500 (48.190)	Prec@5 83.000 (78.603)
Epoch: [54][3460/9018]	Time 0.628 (0.628)	Data 0.001 (0.005)	Loss 2.0872 (2.0005)	Prec@1 42.000 (48.185)	Prec@5 74.500 (78.604)
Epoch: [54][3470/9018]	Time 0.625 (0.628)	Data 0.001 (0.005)	Loss 2.0357 (2.0005)	Prec@1 44.500 (48.186)	Prec@5 78.000 (78.604)
Epoch: [54][3480/9018]	Time 0.629 (0.628)	Data 0.001 (0.005)	Loss 1.9827 (2.0005)	Prec@1 51.000 (48.188)	Prec@5 76.500 (78.603)
Epoch: [54][3490/9018]	Time 0.612 (0.628)	Data 0.014 (0.005)	Loss 2.1884 (2.0005)	Prec@1 49.500 (48.190)	Prec@5 70.500 (78.601)
Epoch: [54][3500/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 1.9102 (2.0005)	Prec@1 50.500 (48.190)	Prec@5 79.500 (78.602)
Epoch: [54][3510/9018]	Time 0.635 (0.628)	Data 0.001 (0.005)	Loss 2.1428 (2.0005)	Prec@1 46.500 (48.191)	Prec@5 74.500 (78.602)
Epoch: [54][3520/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.9588 (2.0004)	Prec@1 46.500 (48.190)	Prec@5 78.000 (78.606)
Epoch: [54][3530/9018]	Time 0.621 (0.628)	Data 0.002 (0.005)	Loss 2.0560 (2.0004)	Prec@1 46.500 (48.190)	Prec@5 74.500 (78.604)
Epoch: [54][3540/9018]	Time 0.760 (0.628)	Data 0.001 (0.005)	Loss 2.1217 (2.0004)	Prec@1 47.000 (48.189)	Prec@5 76.500 (78.605)
Epoch: [54][3550/9018]	Time 0.622 (0.628)	Data 0.001 (0.005)	Loss 2.1573 (2.0005)	Prec@1 48.500 (48.190)	Prec@5 77.500 (78.599)
Epoch: [54][3560/9018]	Time 0.644 (0.628)	Data 0.001 (0.005)	Loss 2.0555 (2.0003)	Prec@1 49.000 (48.193)	Prec@5 75.500 (78.604)
Epoch: [54][3570/9018]	Time 0.597 (0.628)	Data 0.001 (0.005)	Loss 1.9361 (2.0005)	Prec@1 49.500 (48.191)	Prec@5 79.500 (78.600)
Epoch: [54][3580/9018]	Time 0.633 (0.628)	Data 0.001 (0.005)	Loss 2.0513 (2.0006)	Prec@1 50.000 (48.191)	Prec@5 78.500 (78.600)
Epoch: [54][3590/9018]	Time 0.716 (0.628)	Data 0.001 (0.005)	Loss 1.9816 (2.0007)	Prec@1 48.000 (48.185)	Prec@5 78.500 (78.602)
Epoch: [54][3600/9018]	Time 0.625 (0.628)	Data 0.014 (0.005)	Loss 1.8608 (2.0008)	Prec@1 50.500 (48.179)	Prec@5 81.500 (78.600)
Epoch: [54][3610/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 2.0482 (2.0007)	Prec@1 46.500 (48.185)	Prec@5 77.500 (78.606)
Epoch: [54][3620/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 2.0026 (2.0008)	Prec@1 47.000 (48.184)	Prec@5 77.000 (78.601)
Epoch: [54][3630/9018]	Time 0.621 (0.628)	Data 0.001 (0.005)	Loss 1.9490 (2.0009)	Prec@1 48.000 (48.182)	Prec@5 80.000 (78.600)
Epoch: [54][3640/9018]	Time 0.607 (0.628)	Data 0.003 (0.005)	Loss 1.8113 (2.0009)	Prec@1 50.000 (48.181)	Prec@5 80.500 (78.596)
Epoch: [54][3650/9018]	Time 0.618 (0.628)	Data 0.001 (0.005)	Loss 1.9180 (2.0010)	Prec@1 51.000 (48.179)	Prec@5 81.000 (78.596)
Epoch: [54][3660/9018]	Time 0.598 (0.628)	Data 0.001 (0.005)	Loss 2.1007 (2.0011)	Prec@1 49.500 (48.178)	Prec@5 76.000 (78.593)
Epoch: [54][3670/9018]	Time 0.618 (0.628)	Data 0.001 (0.005)	Loss 2.2203 (2.0011)	Prec@1 43.500 (48.177)	Prec@5 77.500 (78.595)
Epoch: [54][3680/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.9255 (2.0011)	Prec@1 54.500 (48.177)	Prec@5 83.500 (78.594)
Epoch: [54][3690/9018]	Time 0.628 (0.628)	Data 0.001 (0.005)	Loss 2.1615 (2.0012)	Prec@1 45.000 (48.173)	Prec@5 80.500 (78.593)
Epoch: [54][3700/9018]	Time 0.624 (0.628)	Data 0.001 (0.005)	Loss 2.1842 (2.0013)	Prec@1 44.000 (48.171)	Prec@5 76.500 (78.593)
Epoch: [54][3710/9018]	Time 0.636 (0.628)	Data 0.005 (0.005)	Loss 2.0711 (2.0015)	Prec@1 48.000 (48.169)	Prec@5 80.500 (78.592)
Epoch: [54][3720/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 1.9441 (2.0015)	Prec@1 47.000 (48.168)	Prec@5 80.500 (78.592)
Epoch: [54][3730/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 1.8914 (2.0015)	Prec@1 49.000 (48.168)	Prec@5 81.000 (78.591)
Epoch: [54][3740/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 2.0829 (2.0017)	Prec@1 45.500 (48.165)	Prec@5 80.000 (78.589)
Epoch: [54][3750/9018]	Time 0.626 (0.628)	Data 0.001 (0.005)	Loss 1.9151 (2.0017)	Prec@1 48.500 (48.165)	Prec@5 78.500 (78.593)
Epoch: [54][3760/9018]	Time 0.618 (0.628)	Data 0.001 (0.005)	Loss 2.0982 (2.0018)	Prec@1 47.500 (48.161)	Prec@5 80.500 (78.594)
Epoch: [54][3770/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 2.0365 (2.0019)	Prec@1 46.500 (48.161)	Prec@5 76.000 (78.591)
Epoch: [54][3780/9018]	Time 0.644 (0.628)	Data 0.001 (0.005)	Loss 2.0777 (2.0019)	Prec@1 46.000 (48.159)	Prec@5 79.500 (78.592)
Epoch: [54][3790/9018]	Time 0.618 (0.628)	Data 0.015 (0.005)	Loss 1.9843 (2.0019)	Prec@1 45.500 (48.158)	Prec@5 78.500 (78.594)
Epoch: [54][3800/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 1.9678 (2.0020)	Prec@1 50.000 (48.154)	Prec@5 78.000 (78.595)
Epoch: [54][3810/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 2.0477 (2.0021)	Prec@1 46.500 (48.152)	Prec@5 79.500 (78.594)
Epoch: [54][3820/9018]	Time 0.610 (0.628)	Data 0.001 (0.005)	Loss 2.1774 (2.0022)	Prec@1 43.500 (48.150)	Prec@5 72.500 (78.593)
Epoch: [54][3830/9018]	Time 0.649 (0.628)	Data 0.001 (0.005)	Loss 2.2546 (2.0021)	Prec@1 44.000 (48.154)	Prec@5 75.000 (78.595)
Epoch: [54][3840/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 1.9243 (2.0023)	Prec@1 53.500 (48.152)	Prec@5 75.500 (78.590)
Epoch: [54][3850/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 1.8715 (2.0022)	Prec@1 51.000 (48.149)	Prec@5 77.500 (78.592)
Epoch: [54][3860/9018]	Time 0.624 (0.628)	Data 0.001 (0.005)	Loss 1.9335 (2.0021)	Prec@1 49.500 (48.150)	Prec@5 80.000 (78.595)
Epoch: [54][3870/9018]	Time 0.751 (0.628)	Data 0.001 (0.005)	Loss 1.8304 (2.0020)	Prec@1 50.000 (48.155)	Prec@5 82.500 (78.596)
Epoch: [54][3880/9018]	Time 0.623 (0.628)	Data 0.001 (0.005)	Loss 1.8209 (2.0020)	Prec@1 49.000 (48.155)	Prec@5 81.500 (78.597)
Epoch: [54][3890/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.8895 (2.0019)	Prec@1 51.000 (48.157)	Prec@5 80.500 (78.599)
Epoch: [54][3900/9018]	Time 0.612 (0.628)	Data 0.001 (0.005)	Loss 1.9494 (2.0018)	Prec@1 50.000 (48.162)	Prec@5 78.000 (78.600)
Epoch: [54][3910/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 1.9718 (2.0019)	Prec@1 44.500 (48.163)	Prec@5 77.000 (78.600)
Epoch: [54][3920/9018]	Time 0.735 (0.628)	Data 0.001 (0.005)	Loss 1.8969 (2.0019)	Prec@1 50.500 (48.167)	Prec@5 82.500 (78.598)
Epoch: [54][3930/9018]	Time 0.610 (0.628)	Data 0.001 (0.005)	Loss 2.0543 (2.0020)	Prec@1 47.500 (48.169)	Prec@5 79.000 (78.596)
Epoch: [54][3940/9018]	Time 0.612 (0.628)	Data 0.001 (0.005)	Loss 2.0059 (2.0020)	Prec@1 54.000 (48.168)	Prec@5 77.500 (78.597)
Epoch: [54][3950/9018]	Time 0.595 (0.628)	Data 0.001 (0.005)	Loss 2.1991 (2.0019)	Prec@1 45.500 (48.167)	Prec@5 75.000 (78.599)
Epoch: [54][3960/9018]	Time 0.602 (0.628)	Data 0.001 (0.005)	Loss 1.6913 (2.0018)	Prec@1 56.000 (48.165)	Prec@5 83.500 (78.604)
Epoch: [54][3970/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 1.8234 (2.0018)	Prec@1 54.500 (48.168)	Prec@5 81.500 (78.605)
Epoch: [54][3980/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 2.1102 (2.0020)	Prec@1 44.000 (48.165)	Prec@5 78.500 (78.602)
Epoch: [54][3990/9018]	Time 0.630 (0.628)	Data 0.001 (0.005)	Loss 2.0551 (2.0020)	Prec@1 44.000 (48.161)	Prec@5 77.000 (78.602)
Epoch: [54][4000/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 2.1497 (2.0019)	Prec@1 42.500 (48.162)	Prec@5 72.500 (78.603)
Epoch: [54][4010/9018]	Time 0.599 (0.628)	Data 0.001 (0.005)	Loss 2.1652 (2.0020)	Prec@1 44.000 (48.158)	Prec@5 75.500 (78.601)
Epoch: [54][4020/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 1.8944 (2.0018)	Prec@1 51.000 (48.156)	Prec@5 81.500 (78.605)
Epoch: [54][4030/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 2.0386 (2.0019)	Prec@1 50.000 (48.153)	Prec@5 78.000 (78.605)
Epoch: [54][4040/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 2.0038 (2.0021)	Prec@1 47.000 (48.148)	Prec@5 80.000 (78.602)
Epoch: [54][4050/9018]	Time 0.595 (0.628)	Data 0.001 (0.005)	Loss 2.0695 (2.0022)	Prec@1 46.000 (48.147)	Prec@5 77.500 (78.601)
Epoch: [54][4060/9018]	Time 0.608 (0.628)	Data 0.001 (0.005)	Loss 2.1565 (2.0021)	Prec@1 49.000 (48.149)	Prec@5 78.500 (78.600)
Epoch: [54][4070/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 2.0502 (2.0023)	Prec@1 48.500 (48.148)	Prec@5 75.000 (78.597)
Epoch: [54][4080/9018]	Time 0.639 (0.628)	Data 0.001 (0.005)	Loss 2.3809 (2.0023)	Prec@1 37.000 (48.150)	Prec@5 73.000 (78.597)
Epoch: [54][4090/9018]	Time 0.616 (0.628)	Data 0.030 (0.005)	Loss 2.0845 (2.0023)	Prec@1 45.500 (48.154)	Prec@5 81.500 (78.599)
Epoch: [54][4100/9018]	Time 0.621 (0.628)	Data 0.001 (0.005)	Loss 1.8555 (2.0021)	Prec@1 51.500 (48.156)	Prec@5 81.000 (78.602)
Epoch: [54][4110/9018]	Time 0.615 (0.628)	Data 0.001 (0.005)	Loss 2.1210 (2.0021)	Prec@1 49.500 (48.157)	Prec@5 73.500 (78.602)
Epoch: [54][4120/9018]	Time 0.617 (0.628)	Data 0.001 (0.005)	Loss 2.0617 (2.0020)	Prec@1 45.500 (48.160)	Prec@5 79.000 (78.604)
Epoch: [54][4130/9018]	Time 0.636 (0.628)	Data 0.001 (0.005)	Loss 1.7694 (2.0020)	Prec@1 52.500 (48.159)	Prec@5 82.000 (78.605)
Epoch: [54][4140/9018]	Time 0.613 (0.628)	Data 0.014 (0.005)	Loss 2.2005 (2.0020)	Prec@1 43.500 (48.159)	Prec@5 75.500 (78.607)
Epoch: [54][4150/9018]	Time 0.632 (0.628)	Data 0.001 (0.005)	Loss 1.9696 (2.0019)	Prec@1 46.000 (48.160)	Prec@5 78.500 (78.607)
Epoch: [54][4160/9018]	Time 0.630 (0.628)	Data 0.001 (0.005)	Loss 1.9622 (2.0018)	Prec@1 47.500 (48.162)	Prec@5 80.500 (78.609)
Epoch: [54][4170/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 1.9580 (2.0019)	Prec@1 53.000 (48.161)	Prec@5 78.000 (78.610)
Epoch: [54][4180/9018]	Time 0.614 (0.628)	Data 0.014 (0.005)	Loss 2.1321 (2.0020)	Prec@1 51.000 (48.161)	Prec@5 76.000 (78.610)
Epoch: [54][4190/9018]	Time 0.602 (0.628)	Data 0.001 (0.005)	Loss 2.1114 (2.0020)	Prec@1 47.500 (48.161)	Prec@5 77.000 (78.608)
Epoch: [54][4200/9018]	Time 0.726 (0.628)	Data 0.001 (0.005)	Loss 1.9415 (2.0020)	Prec@1 50.500 (48.162)	Prec@5 78.500 (78.605)
Epoch: [54][4210/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 1.9810 (2.0020)	Prec@1 47.000 (48.161)	Prec@5 76.500 (78.605)
Epoch: [54][4220/9018]	Time 0.640 (0.628)	Data 0.001 (0.005)	Loss 2.1508 (2.0021)	Prec@1 43.000 (48.162)	Prec@5 75.500 (78.602)
Epoch: [54][4230/9018]	Time 0.612 (0.628)	Data 0.001 (0.005)	Loss 2.2282 (2.0024)	Prec@1 37.000 (48.156)	Prec@5 77.500 (78.599)
Epoch: [54][4240/9018]	Time 0.620 (0.628)	Data 0.016 (0.005)	Loss 2.0349 (2.0024)	Prec@1 44.500 (48.157)	Prec@5 76.500 (78.599)
Epoch: [54][4250/9018]	Time 0.755 (0.628)	Data 0.001 (0.005)	Loss 1.9107 (2.0024)	Prec@1 52.500 (48.156)	Prec@5 78.500 (78.598)
Epoch: [54][4260/9018]	Time 0.602 (0.628)	Data 0.001 (0.005)	Loss 2.0978 (2.0022)	Prec@1 49.500 (48.158)	Prec@5 74.000 (78.599)
Epoch: [54][4270/9018]	Time 0.622 (0.628)	Data 0.001 (0.005)	Loss 2.1044 (2.0023)	Prec@1 46.000 (48.157)	Prec@5 78.500 (78.600)
Epoch: [54][4280/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 1.9613 (2.0023)	Prec@1 51.000 (48.161)	Prec@5 78.500 (78.601)
Epoch: [54][4290/9018]	Time 0.608 (0.628)	Data 0.001 (0.005)	Loss 1.8961 (2.0024)	Prec@1 50.500 (48.159)	Prec@5 79.500 (78.598)
Epoch: [54][4300/9018]	Time 0.622 (0.628)	Data 0.001 (0.005)	Loss 1.8533 (2.0025)	Prec@1 51.500 (48.156)	Prec@5 80.000 (78.595)
Epoch: [54][4310/9018]	Time 0.628 (0.628)	Data 0.001 (0.005)	Loss 1.8549 (2.0024)	Prec@1 52.500 (48.154)	Prec@5 82.000 (78.597)
Epoch: [54][4320/9018]	Time 0.626 (0.628)	Data 0.015 (0.005)	Loss 2.0051 (2.0025)	Prec@1 46.000 (48.151)	Prec@5 77.000 (78.597)
Epoch: [54][4330/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 2.1595 (2.0027)	Prec@1 43.000 (48.147)	Prec@5 76.500 (78.594)
Epoch: [54][4340/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 1.9872 (2.0028)	Prec@1 50.000 (48.146)	Prec@5 78.500 (78.593)
Epoch: [54][4350/9018]	Time 0.633 (0.628)	Data 0.001 (0.005)	Loss 2.0911 (2.0028)	Prec@1 44.500 (48.145)	Prec@5 77.000 (78.592)
Epoch: [54][4360/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 2.2063 (2.0028)	Prec@1 43.500 (48.144)	Prec@5 75.500 (78.592)
Epoch: [54][4370/9018]	Time 0.610 (0.628)	Data 0.001 (0.005)	Loss 2.1369 (2.0029)	Prec@1 48.500 (48.144)	Prec@5 76.500 (78.590)
Epoch: [54][4380/9018]	Time 0.626 (0.628)	Data 0.007 (0.005)	Loss 1.9839 (2.0029)	Prec@1 48.500 (48.141)	Prec@5 78.500 (78.589)
Epoch: [54][4390/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 2.0724 (2.0029)	Prec@1 42.000 (48.142)	Prec@5 78.500 (78.588)
Epoch: [54][4400/9018]	Time 0.625 (0.628)	Data 0.001 (0.005)	Loss 2.0441 (2.0029)	Prec@1 46.500 (48.143)	Prec@5 78.000 (78.588)
Epoch: [54][4410/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 2.0697 (2.0031)	Prec@1 45.500 (48.138)	Prec@5 78.500 (78.586)
Epoch: [54][4420/9018]	Time 0.622 (0.628)	Data 0.001 (0.005)	Loss 1.9218 (2.0030)	Prec@1 53.000 (48.139)	Prec@5 80.000 (78.584)
Epoch: [54][4430/9018]	Time 0.629 (0.628)	Data 0.001 (0.005)	Loss 2.2474 (2.0032)	Prec@1 43.500 (48.138)	Prec@5 74.000 (78.582)
Epoch: [54][4440/9018]	Time 0.612 (0.628)	Data 0.001 (0.005)	Loss 2.1115 (2.0033)	Prec@1 46.500 (48.134)	Prec@5 76.000 (78.580)
Epoch: [54][4450/9018]	Time 0.625 (0.628)	Data 0.017 (0.005)	Loss 2.0652 (2.0034)	Prec@1 45.500 (48.138)	Prec@5 74.000 (78.578)
Epoch: [54][4460/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 2.0389 (2.0036)	Prec@1 46.000 (48.133)	Prec@5 77.000 (78.575)
Epoch: [54][4470/9018]	Time 0.640 (0.628)	Data 0.001 (0.005)	Loss 2.0795 (2.0036)	Prec@1 44.000 (48.133)	Prec@5 78.500 (78.577)
Epoch: [54][4480/9018]	Time 0.638 (0.628)	Data 0.001 (0.005)	Loss 1.9438 (2.0036)	Prec@1 49.500 (48.128)	Prec@5 84.500 (78.577)
Epoch: [54][4490/9018]	Time 0.615 (0.628)	Data 0.001 (0.005)	Loss 1.8424 (2.0036)	Prec@1 50.000 (48.127)	Prec@5 81.000 (78.577)
Epoch: [54][4500/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 2.0083 (2.0036)	Prec@1 40.000 (48.124)	Prec@5 82.500 (78.577)
Epoch: [54][4510/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 1.9131 (2.0035)	Prec@1 47.000 (48.127)	Prec@5 80.000 (78.580)
Epoch: [54][4520/9018]	Time 0.632 (0.628)	Data 0.014 (0.005)	Loss 1.9913 (2.0036)	Prec@1 48.000 (48.124)	Prec@5 80.000 (78.578)
Epoch: [54][4530/9018]	Time 0.753 (0.628)	Data 0.016 (0.005)	Loss 2.2700 (2.0036)	Prec@1 43.000 (48.125)	Prec@5 74.000 (78.579)
Epoch: [54][4540/9018]	Time 0.593 (0.628)	Data 0.001 (0.005)	Loss 2.1285 (2.0035)	Prec@1 44.500 (48.126)	Prec@5 76.500 (78.579)
Epoch: [54][4550/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 2.0983 (2.0036)	Prec@1 42.000 (48.123)	Prec@5 80.000 (78.580)
Epoch: [54][4560/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 1.8587 (2.0036)	Prec@1 49.500 (48.122)	Prec@5 79.000 (78.579)
Epoch: [54][4570/9018]	Time 0.622 (0.628)	Data 0.015 (0.005)	Loss 1.9727 (2.0036)	Prec@1 48.500 (48.123)	Prec@5 76.500 (78.578)
Epoch: [54][4580/9018]	Time 0.760 (0.628)	Data 0.001 (0.005)	Loss 1.9861 (2.0035)	Prec@1 45.000 (48.122)	Prec@5 78.500 (78.578)
Epoch: [54][4590/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 1.9784 (2.0037)	Prec@1 50.000 (48.119)	Prec@5 75.000 (78.576)
Epoch: [54][4600/9018]	Time 0.630 (0.628)	Data 0.001 (0.005)	Loss 2.1197 (2.0038)	Prec@1 43.500 (48.117)	Prec@5 77.500 (78.574)
Epoch: [54][4610/9018]	Time 0.614 (0.628)	Data 0.014 (0.005)	Loss 1.9991 (2.0038)	Prec@1 50.500 (48.117)	Prec@5 78.000 (78.574)
Epoch: [54][4620/9018]	Time 0.619 (0.628)	Data 0.016 (0.005)	Loss 1.8451 (2.0039)	Prec@1 51.000 (48.116)	Prec@5 84.000 (78.577)
Epoch: [54][4630/9018]	Time 0.621 (0.628)	Data 0.001 (0.005)	Loss 1.9021 (2.0038)	Prec@1 46.500 (48.112)	Prec@5 79.000 (78.576)
Epoch: [54][4640/9018]	Time 0.593 (0.628)	Data 0.001 (0.005)	Loss 2.1638 (2.0041)	Prec@1 45.000 (48.108)	Prec@5 74.000 (78.571)
Epoch: [54][4650/9018]	Time 0.618 (0.628)	Data 0.002 (0.005)	Loss 1.9389 (2.0040)	Prec@1 47.000 (48.107)	Prec@5 77.500 (78.572)
Epoch: [54][4660/9018]	Time 0.594 (0.628)	Data 0.001 (0.005)	Loss 2.1924 (2.0040)	Prec@1 43.500 (48.108)	Prec@5 78.000 (78.571)
Epoch: [54][4670/9018]	Time 0.623 (0.628)	Data 0.001 (0.005)	Loss 2.2558 (2.0040)	Prec@1 44.500 (48.105)	Prec@5 73.000 (78.572)
Epoch: [54][4680/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 1.7924 (2.0042)	Prec@1 54.500 (48.102)	Prec@5 78.000 (78.570)
Epoch: [54][4690/9018]	Time 0.623 (0.628)	Data 0.001 (0.005)	Loss 2.0307 (2.0042)	Prec@1 41.500 (48.102)	Prec@5 77.000 (78.570)
Epoch: [54][4700/9018]	Time 0.599 (0.628)	Data 0.001 (0.005)	Loss 2.0826 (2.0041)	Prec@1 50.000 (48.102)	Prec@5 74.500 (78.574)
Epoch: [54][4710/9018]	Time 0.605 (0.628)	Data 0.001 (0.005)	Loss 2.0420 (2.0042)	Prec@1 47.500 (48.101)	Prec@5 78.000 (78.572)
Epoch: [54][4720/9018]	Time 0.604 (0.628)	Data 0.001 (0.005)	Loss 1.8940 (2.0041)	Prec@1 52.000 (48.104)	Prec@5 81.000 (78.575)
Epoch: [54][4730/9018]	Time 0.617 (0.628)	Data 0.006 (0.005)	Loss 1.7614 (2.0041)	Prec@1 51.000 (48.108)	Prec@5 83.000 (78.576)
Epoch: [54][4740/9018]	Time 0.645 (0.628)	Data 0.001 (0.005)	Loss 1.9999 (2.0041)	Prec@1 50.000 (48.108)	Prec@5 78.000 (78.575)
Epoch: [54][4750/9018]	Time 0.636 (0.628)	Data 0.001 (0.005)	Loss 2.1764 (2.0041)	Prec@1 42.000 (48.105)	Prec@5 77.500 (78.573)
Epoch: [54][4760/9018]	Time 0.652 (0.628)	Data 0.001 (0.005)	Loss 2.1316 (2.0041)	Prec@1 45.500 (48.108)	Prec@5 79.500 (78.575)
Epoch: [54][4770/9018]	Time 0.611 (0.628)	Data 0.015 (0.005)	Loss 1.9618 (2.0042)	Prec@1 48.500 (48.109)	Prec@5 80.000 (78.575)
Epoch: [54][4780/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 1.7181 (2.0042)	Prec@1 52.000 (48.108)	Prec@5 82.500 (78.574)
Epoch: [54][4790/9018]	Time 0.599 (0.628)	Data 0.001 (0.005)	Loss 1.9947 (2.0042)	Prec@1 42.500 (48.104)	Prec@5 80.000 (78.575)
Epoch: [54][4800/9018]	Time 0.627 (0.628)	Data 0.013 (0.005)	Loss 1.9164 (2.0044)	Prec@1 49.500 (48.100)	Prec@5 80.500 (78.571)
Epoch: [54][4810/9018]	Time 0.606 (0.628)	Data 0.001 (0.005)	Loss 1.8976 (2.0044)	Prec@1 47.500 (48.098)	Prec@5 82.500 (78.572)
Epoch: [54][4820/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 2.0784 (2.0046)	Prec@1 47.500 (48.095)	Prec@5 78.500 (78.567)
Epoch: [54][4830/9018]	Time 0.617 (0.628)	Data 0.001 (0.005)	Loss 2.0088 (2.0045)	Prec@1 45.500 (48.097)	Prec@5 82.000 (78.570)
Epoch: [54][4840/9018]	Time 0.617 (0.628)	Data 0.017 (0.005)	Loss 2.0983 (2.0047)	Prec@1 45.000 (48.091)	Prec@5 76.500 (78.566)
Epoch: [54][4850/9018]	Time 0.612 (0.628)	Data 0.001 (0.005)	Loss 1.9577 (2.0049)	Prec@1 48.500 (48.089)	Prec@5 76.500 (78.562)
Epoch: [54][4860/9018]	Time 0.829 (0.628)	Data 0.001 (0.005)	Loss 2.0807 (2.0049)	Prec@1 48.000 (48.088)	Prec@5 78.500 (78.563)
Epoch: [54][4870/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 1.9948 (2.0051)	Prec@1 47.500 (48.083)	Prec@5 80.500 (78.558)
Epoch: [54][4880/9018]	Time 0.633 (0.628)	Data 0.016 (0.005)	Loss 1.9521 (2.0051)	Prec@1 53.000 (48.085)	Prec@5 81.500 (78.558)
Epoch: [54][4890/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 1.9625 (2.0051)	Prec@1 53.500 (48.085)	Prec@5 77.500 (78.558)
Epoch: [54][4900/9018]	Time 0.618 (0.628)	Data 0.001 (0.005)	Loss 2.0060 (2.0051)	Prec@1 47.000 (48.086)	Prec@5 80.500 (78.557)
Epoch: [54][4910/9018]	Time 0.736 (0.628)	Data 0.001 (0.005)	Loss 2.0246 (2.0050)	Prec@1 51.500 (48.090)	Prec@5 81.000 (78.559)
Epoch: [54][4920/9018]	Time 0.635 (0.628)	Data 0.001 (0.005)	Loss 1.7423 (2.0051)	Prec@1 54.000 (48.088)	Prec@5 83.000 (78.559)
Epoch: [54][4930/9018]	Time 0.632 (0.628)	Data 0.001 (0.005)	Loss 1.9812 (2.0051)	Prec@1 49.000 (48.088)	Prec@5 80.500 (78.558)
Epoch: [54][4940/9018]	Time 0.625 (0.628)	Data 0.001 (0.005)	Loss 2.0445 (2.0052)	Prec@1 52.000 (48.087)	Prec@5 77.500 (78.556)
Epoch: [54][4950/9018]	Time 0.633 (0.628)	Data 0.015 (0.005)	Loss 2.0903 (2.0053)	Prec@1 47.500 (48.087)	Prec@5 75.000 (78.554)
Epoch: [54][4960/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 2.1195 (2.0053)	Prec@1 41.000 (48.087)	Prec@5 78.000 (78.555)
Epoch: [54][4970/9018]	Time 0.632 (0.628)	Data 0.001 (0.005)	Loss 1.9802 (2.0053)	Prec@1 50.500 (48.089)	Prec@5 82.500 (78.556)
Epoch: [54][4980/9018]	Time 0.624 (0.628)	Data 0.001 (0.005)	Loss 2.0626 (2.0053)	Prec@1 43.500 (48.085)	Prec@5 76.500 (78.554)
Epoch: [54][4990/9018]	Time 0.610 (0.628)	Data 0.001 (0.005)	Loss 2.1138 (2.0052)	Prec@1 45.000 (48.087)	Prec@5 77.500 (78.555)
Epoch: [54][5000/9018]	Time 0.621 (0.628)	Data 0.001 (0.005)	Loss 2.1991 (2.0053)	Prec@1 45.000 (48.083)	Prec@5 78.500 (78.554)
Epoch: [54][5010/9018]	Time 0.637 (0.628)	Data 0.011 (0.005)	Loss 1.9832 (2.0053)	Prec@1 50.500 (48.082)	Prec@5 78.500 (78.554)
Epoch: [54][5020/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 2.0857 (2.0054)	Prec@1 49.500 (48.080)	Prec@5 79.000 (78.553)
Epoch: [54][5030/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 2.0260 (2.0053)	Prec@1 46.000 (48.082)	Prec@5 81.000 (78.554)
Epoch: [54][5040/9018]	Time 0.638 (0.628)	Data 0.001 (0.005)	Loss 1.9407 (2.0054)	Prec@1 52.000 (48.079)	Prec@5 79.500 (78.552)
Epoch: [54][5050/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 2.0982 (2.0054)	Prec@1 45.500 (48.081)	Prec@5 77.000 (78.552)
Epoch: [54][5060/9018]	Time 0.617 (0.628)	Data 0.001 (0.005)	Loss 2.0121 (2.0055)	Prec@1 47.500 (48.080)	Prec@5 82.500 (78.550)
Epoch: [54][5070/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 2.2048 (2.0055)	Prec@1 43.000 (48.079)	Prec@5 77.500 (78.549)
Epoch: [54][5080/9018]	Time 0.636 (0.628)	Data 0.001 (0.005)	Loss 1.8593 (2.0055)	Prec@1 53.000 (48.081)	Prec@5 80.500 (78.551)
Epoch: [54][5090/9018]	Time 0.612 (0.628)	Data 0.001 (0.005)	Loss 1.7309 (2.0055)	Prec@1 57.000 (48.083)	Prec@5 80.500 (78.549)
Epoch: [54][5100/9018]	Time 0.615 (0.628)	Data 0.001 (0.005)	Loss 1.9898 (2.0056)	Prec@1 50.000 (48.079)	Prec@5 76.500 (78.547)
Epoch: [54][5110/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 2.2139 (2.0057)	Prec@1 42.000 (48.079)	Prec@5 75.500 (78.544)
Epoch: [54][5120/9018]	Time 0.610 (0.628)	Data 0.001 (0.005)	Loss 2.0033 (2.0057)	Prec@1 48.000 (48.076)	Prec@5 78.000 (78.541)
Epoch: [54][5130/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 2.0395 (2.0058)	Prec@1 46.000 (48.077)	Prec@5 79.000 (78.540)
Epoch: [54][5140/9018]	Time 0.623 (0.628)	Data 0.013 (0.005)	Loss 1.9513 (2.0059)	Prec@1 48.500 (48.073)	Prec@5 77.500 (78.540)
Epoch: [54][5150/9018]	Time 0.610 (0.628)	Data 0.001 (0.005)	Loss 1.7593 (2.0058)	Prec@1 55.000 (48.075)	Prec@5 82.000 (78.542)
Epoch: [54][5160/9018]	Time 0.610 (0.628)	Data 0.013 (0.005)	Loss 2.0835 (2.0059)	Prec@1 48.500 (48.075)	Prec@5 78.000 (78.540)
Epoch: [54][5170/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 2.0410 (2.0059)	Prec@1 45.500 (48.073)	Prec@5 77.500 (78.539)
Epoch: [54][5180/9018]	Time 0.621 (0.628)	Data 0.001 (0.005)	Loss 1.8195 (2.0060)	Prec@1 58.500 (48.076)	Prec@5 81.000 (78.536)
Epoch: [54][5190/9018]	Time 0.777 (0.628)	Data 0.001 (0.005)	Loss 2.0957 (2.0061)	Prec@1 46.000 (48.075)	Prec@5 73.500 (78.532)
Epoch: [54][5200/9018]	Time 0.626 (0.628)	Data 0.005 (0.005)	Loss 2.1308 (2.0061)	Prec@1 44.500 (48.076)	Prec@5 77.000 (78.534)
Epoch: [54][5210/9018]	Time 0.598 (0.628)	Data 0.001 (0.005)	Loss 1.8411 (2.0060)	Prec@1 52.000 (48.077)	Prec@5 81.500 (78.534)
Epoch: [54][5220/9018]	Time 0.604 (0.628)	Data 0.001 (0.005)	Loss 2.2902 (2.0059)	Prec@1 47.000 (48.081)	Prec@5 75.000 (78.536)
Epoch: [54][5230/9018]	Time 0.635 (0.628)	Data 0.001 (0.005)	Loss 1.9036 (2.0060)	Prec@1 48.500 (48.081)	Prec@5 80.500 (78.534)
Epoch: [54][5240/9018]	Time 0.742 (0.628)	Data 0.001 (0.005)	Loss 2.1947 (2.0061)	Prec@1 43.000 (48.080)	Prec@5 77.000 (78.532)
Epoch: [54][5250/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 2.0550 (2.0060)	Prec@1 45.500 (48.083)	Prec@5 78.000 (78.535)
Epoch: [54][5260/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 1.8218 (2.0060)	Prec@1 55.500 (48.084)	Prec@5 81.500 (78.533)
Epoch: [54][5270/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 2.1025 (2.0060)	Prec@1 45.500 (48.087)	Prec@5 76.000 (78.534)
Epoch: [54][5280/9018]	Time 0.599 (0.628)	Data 0.013 (0.005)	Loss 1.9848 (2.0060)	Prec@1 50.000 (48.090)	Prec@5 78.000 (78.534)
Epoch: [54][5290/9018]	Time 0.631 (0.628)	Data 0.001 (0.005)	Loss 2.0022 (2.0061)	Prec@1 50.500 (48.087)	Prec@5 77.000 (78.531)
Epoch: [54][5300/9018]	Time 0.630 (0.628)	Data 0.001 (0.005)	Loss 1.9738 (2.0062)	Prec@1 48.500 (48.085)	Prec@5 79.000 (78.529)
Epoch: [54][5310/9018]	Time 0.636 (0.628)	Data 0.002 (0.005)	Loss 1.9341 (2.0062)	Prec@1 47.500 (48.084)	Prec@5 81.500 (78.529)
Epoch: [54][5320/9018]	Time 0.615 (0.628)	Data 0.001 (0.005)	Loss 1.9602 (2.0061)	Prec@1 49.000 (48.088)	Prec@5 79.500 (78.529)
Epoch: [54][5330/9018]	Time 0.596 (0.628)	Data 0.001 (0.005)	Loss 2.0336 (2.0062)	Prec@1 48.000 (48.088)	Prec@5 81.000 (78.528)
Epoch: [54][5340/9018]	Time 0.659 (0.628)	Data 0.006 (0.005)	Loss 2.2712 (2.0061)	Prec@1 44.500 (48.091)	Prec@5 71.500 (78.528)
Epoch: [54][5350/9018]	Time 0.597 (0.628)	Data 0.004 (0.005)	Loss 2.1857 (2.0061)	Prec@1 44.500 (48.091)	Prec@5 73.500 (78.529)
Epoch: [54][5360/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 1.8777 (2.0061)	Prec@1 54.500 (48.092)	Prec@5 79.000 (78.527)
Epoch: [54][5370/9018]	Time 0.617 (0.628)	Data 0.001 (0.005)	Loss 2.1190 (2.0063)	Prec@1 44.500 (48.090)	Prec@5 76.000 (78.523)
Epoch: [54][5380/9018]	Time 0.623 (0.628)	Data 0.001 (0.005)	Loss 1.8958 (2.0063)	Prec@1 51.500 (48.089)	Prec@5 80.500 (78.521)
Epoch: [54][5390/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 1.9500 (2.0064)	Prec@1 48.500 (48.088)	Prec@5 80.500 (78.522)
Epoch: [54][5400/9018]	Time 0.606 (0.628)	Data 0.001 (0.005)	Loss 2.1075 (2.0065)	Prec@1 47.500 (48.085)	Prec@5 76.500 (78.520)
Epoch: [54][5410/9018]	Time 0.592 (0.628)	Data 0.001 (0.005)	Loss 2.1178 (2.0066)	Prec@1 42.500 (48.080)	Prec@5 75.500 (78.518)
Epoch: [54][5420/9018]	Time 0.682 (0.628)	Data 0.001 (0.005)	Loss 1.8045 (2.0066)	Prec@1 54.500 (48.080)	Prec@5 79.000 (78.514)
Epoch: [54][5430/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 1.8986 (2.0067)	Prec@1 48.000 (48.079)	Prec@5 78.500 (78.512)
Epoch: [54][5440/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 2.0602 (2.0067)	Prec@1 48.000 (48.080)	Prec@5 78.500 (78.511)
Epoch: [54][5450/9018]	Time 0.625 (0.628)	Data 0.001 (0.005)	Loss 1.9526 (2.0067)	Prec@1 52.000 (48.080)	Prec@5 74.000 (78.510)
Epoch: [54][5460/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 2.2031 (2.0070)	Prec@1 45.000 (48.075)	Prec@5 75.000 (78.505)
Epoch: [54][5470/9018]	Time 0.630 (0.628)	Data 0.001 (0.005)	Loss 2.1021 (2.0070)	Prec@1 42.500 (48.074)	Prec@5 75.000 (78.506)
Epoch: [54][5480/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 2.0273 (2.0071)	Prec@1 46.000 (48.071)	Prec@5 79.000 (78.506)
Epoch: [54][5490/9018]	Time 0.630 (0.628)	Data 0.001 (0.005)	Loss 1.9090 (2.0070)	Prec@1 50.500 (48.072)	Prec@5 85.500 (78.509)
Epoch: [54][5500/9018]	Time 0.594 (0.628)	Data 0.001 (0.005)	Loss 1.9491 (2.0071)	Prec@1 49.500 (48.073)	Prec@5 78.000 (78.508)
Epoch: [54][5510/9018]	Time 0.634 (0.628)	Data 0.001 (0.005)	Loss 1.9955 (2.0071)	Prec@1 48.500 (48.073)	Prec@5 79.500 (78.508)
Epoch: [54][5520/9018]	Time 0.810 (0.628)	Data 0.001 (0.005)	Loss 1.9279 (2.0072)	Prec@1 48.500 (48.071)	Prec@5 78.500 (78.508)
Epoch: [54][5530/9018]	Time 0.596 (0.628)	Data 0.001 (0.005)	Loss 1.9091 (2.0072)	Prec@1 47.000 (48.070)	Prec@5 81.500 (78.509)
Epoch: [54][5540/9018]	Time 0.606 (0.628)	Data 0.001 (0.005)	Loss 2.1012 (2.0072)	Prec@1 45.000 (48.069)	Prec@5 76.500 (78.508)
Epoch: [54][5550/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 1.9759 (2.0072)	Prec@1 48.500 (48.069)	Prec@5 82.000 (78.509)
Epoch: [54][5560/9018]	Time 0.628 (0.628)	Data 0.001 (0.005)	Loss 1.9451 (2.0073)	Prec@1 47.000 (48.068)	Prec@5 79.500 (78.507)
Epoch: [54][5570/9018]	Time 0.793 (0.628)	Data 0.001 (0.005)	Loss 1.9615 (2.0073)	Prec@1 47.500 (48.067)	Prec@5 78.000 (78.506)
Epoch: [54][5580/9018]	Time 0.610 (0.628)	Data 0.001 (0.005)	Loss 1.8958 (2.0073)	Prec@1 49.000 (48.065)	Prec@5 82.500 (78.507)
Epoch: [54][5590/9018]	Time 0.594 (0.628)	Data 0.001 (0.005)	Loss 2.0282 (2.0072)	Prec@1 45.000 (48.068)	Prec@5 78.000 (78.508)
Epoch: [54][5600/9018]	Time 0.615 (0.628)	Data 0.001 (0.005)	Loss 1.8612 (2.0071)	Prec@1 53.500 (48.070)	Prec@5 78.500 (78.506)
Epoch: [54][5610/9018]	Time 0.622 (0.628)	Data 0.001 (0.005)	Loss 2.1726 (2.0071)	Prec@1 43.500 (48.070)	Prec@5 76.500 (78.507)
Epoch: [54][5620/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 1.9906 (2.0071)	Prec@1 44.500 (48.072)	Prec@5 77.500 (78.506)
Epoch: [54][5630/9018]	Time 0.638 (0.628)	Data 0.001 (0.005)	Loss 1.9456 (2.0071)	Prec@1 48.500 (48.073)	Prec@5 77.500 (78.507)
Epoch: [54][5640/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 2.0070 (2.0071)	Prec@1 47.500 (48.074)	Prec@5 78.500 (78.505)
Epoch: [54][5650/9018]	Time 0.629 (0.628)	Data 0.001 (0.005)	Loss 1.9182 (2.0072)	Prec@1 49.000 (48.072)	Prec@5 80.000 (78.503)
Epoch: [54][5660/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 2.3000 (2.0073)	Prec@1 39.500 (48.070)	Prec@5 73.000 (78.501)
Epoch: [54][5670/9018]	Time 0.621 (0.628)	Data 0.001 (0.005)	Loss 2.0172 (2.0073)	Prec@1 46.000 (48.069)	Prec@5 76.500 (78.498)
Epoch: [54][5680/9018]	Time 0.629 (0.628)	Data 0.001 (0.005)	Loss 2.1509 (2.0074)	Prec@1 41.500 (48.065)	Prec@5 76.000 (78.498)
Epoch: [54][5690/9018]	Time 0.596 (0.628)	Data 0.001 (0.005)	Loss 1.9608 (2.0076)	Prec@1 47.000 (48.061)	Prec@5 84.500 (78.497)
Epoch: [54][5700/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 1.8862 (2.0076)	Prec@1 48.500 (48.063)	Prec@5 82.000 (78.497)
Epoch: [54][5710/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 1.8485 (2.0076)	Prec@1 52.500 (48.065)	Prec@5 83.500 (78.501)
Epoch: [54][5720/9018]	Time 0.669 (0.628)	Data 0.001 (0.005)	Loss 2.1562 (2.0075)	Prec@1 44.000 (48.067)	Prec@5 73.500 (78.501)
Epoch: [54][5730/9018]	Time 0.593 (0.628)	Data 0.001 (0.005)	Loss 1.8175 (2.0075)	Prec@1 48.000 (48.066)	Prec@5 85.500 (78.503)
Epoch: [54][5740/9018]	Time 0.625 (0.628)	Data 0.015 (0.005)	Loss 2.0847 (2.0074)	Prec@1 47.500 (48.071)	Prec@5 76.500 (78.504)
Epoch: [54][5750/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 2.0096 (2.0073)	Prec@1 50.500 (48.073)	Prec@5 78.000 (78.506)
Epoch: [54][5760/9018]	Time 0.634 (0.628)	Data 0.001 (0.005)	Loss 2.0104 (2.0073)	Prec@1 50.000 (48.075)	Prec@5 79.000 (78.508)
Epoch: [54][5770/9018]	Time 0.605 (0.628)	Data 0.001 (0.005)	Loss 1.8598 (2.0072)	Prec@1 49.000 (48.076)	Prec@5 77.500 (78.510)
Epoch: [54][5780/9018]	Time 0.624 (0.628)	Data 0.001 (0.005)	Loss 1.9885 (2.0072)	Prec@1 50.000 (48.073)	Prec@5 79.000 (78.510)
Epoch: [54][5790/9018]	Time 0.631 (0.628)	Data 0.016 (0.005)	Loss 2.1076 (2.0072)	Prec@1 46.000 (48.076)	Prec@5 76.000 (78.509)
Epoch: [54][5800/9018]	Time 0.605 (0.628)	Data 0.001 (0.005)	Loss 2.0860 (2.0072)	Prec@1 44.000 (48.075)	Prec@5 77.500 (78.510)
Epoch: [54][5810/9018]	Time 0.636 (0.628)	Data 0.001 (0.005)	Loss 1.9851 (2.0072)	Prec@1 47.000 (48.075)	Prec@5 81.000 (78.511)
Epoch: [54][5820/9018]	Time 0.655 (0.628)	Data 0.017 (0.005)	Loss 1.8987 (2.0073)	Prec@1 51.500 (48.072)	Prec@5 79.000 (78.511)
Epoch: [54][5830/9018]	Time 0.618 (0.628)	Data 0.001 (0.005)	Loss 2.0573 (2.0072)	Prec@1 48.500 (48.075)	Prec@5 75.000 (78.513)
Epoch: [54][5840/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 2.2157 (2.0073)	Prec@1 46.000 (48.076)	Prec@5 75.000 (78.511)
Epoch: [54][5850/9018]	Time 0.782 (0.628)	Data 0.017 (0.005)	Loss 1.8525 (2.0073)	Prec@1 53.000 (48.077)	Prec@5 79.000 (78.509)
Epoch: [54][5860/9018]	Time 0.630 (0.628)	Data 0.001 (0.005)	Loss 2.1233 (2.0074)	Prec@1 44.000 (48.076)	Prec@5 76.000 (78.507)
Epoch: [54][5870/9018]	Time 0.591 (0.628)	Data 0.001 (0.005)	Loss 2.3099 (2.0075)	Prec@1 44.500 (48.075)	Prec@5 76.500 (78.505)
Epoch: [54][5880/9018]	Time 0.610 (0.628)	Data 0.017 (0.005)	Loss 1.9213 (2.0075)	Prec@1 49.000 (48.074)	Prec@5 78.500 (78.507)
Epoch: [54][5890/9018]	Time 0.618 (0.628)	Data 0.001 (0.005)	Loss 1.9127 (2.0075)	Prec@1 48.000 (48.076)	Prec@5 82.500 (78.508)
Epoch: [54][5900/9018]	Time 0.789 (0.628)	Data 0.012 (0.005)	Loss 2.0671 (2.0075)	Prec@1 49.500 (48.077)	Prec@5 78.500 (78.508)
Epoch: [54][5910/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 1.9662 (2.0076)	Prec@1 51.000 (48.077)	Prec@5 78.000 (78.506)
Epoch: [54][5920/9018]	Time 0.625 (0.628)	Data 0.001 (0.005)	Loss 2.0432 (2.0077)	Prec@1 41.500 (48.075)	Prec@5 78.500 (78.505)
Epoch: [54][5930/9018]	Time 0.602 (0.628)	Data 0.001 (0.005)	Loss 2.2128 (2.0078)	Prec@1 46.500 (48.070)	Prec@5 74.000 (78.503)
Epoch: [54][5940/9018]	Time 0.615 (0.628)	Data 0.014 (0.005)	Loss 1.9084 (2.0078)	Prec@1 51.500 (48.071)	Prec@5 82.000 (78.504)
Epoch: [54][5950/9018]	Time 0.621 (0.628)	Data 0.010 (0.005)	Loss 1.8385 (2.0077)	Prec@1 53.000 (48.072)	Prec@5 81.000 (78.506)
Epoch: [54][5960/9018]	Time 0.605 (0.628)	Data 0.001 (0.005)	Loss 2.1652 (2.0078)	Prec@1 48.500 (48.071)	Prec@5 75.500 (78.504)
Epoch: [54][5970/9018]	Time 0.599 (0.628)	Data 0.001 (0.005)	Loss 1.9999 (2.0079)	Prec@1 48.000 (48.070)	Prec@5 78.500 (78.502)
Epoch: [54][5980/9018]	Time 0.631 (0.628)	Data 0.001 (0.005)	Loss 2.1464 (2.0079)	Prec@1 41.000 (48.069)	Prec@5 75.500 (78.502)
Epoch: [54][5990/9018]	Time 0.635 (0.628)	Data 0.001 (0.005)	Loss 2.0200 (2.0080)	Prec@1 47.500 (48.067)	Prec@5 81.500 (78.502)
Epoch: [54][6000/9018]	Time 0.632 (0.628)	Data 0.001 (0.005)	Loss 1.9829 (2.0080)	Prec@1 47.500 (48.067)	Prec@5 76.000 (78.501)
Epoch: [54][6010/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 1.9823 (2.0079)	Prec@1 49.500 (48.071)	Prec@5 82.000 (78.504)
Epoch: [54][6020/9018]	Time 0.630 (0.628)	Data 0.001 (0.005)	Loss 2.0196 (2.0078)	Prec@1 45.000 (48.071)	Prec@5 79.500 (78.505)
Epoch: [54][6030/9018]	Time 0.608 (0.628)	Data 0.001 (0.005)	Loss 2.1289 (2.0080)	Prec@1 46.000 (48.068)	Prec@5 80.000 (78.502)
Epoch: [54][6040/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 2.1041 (2.0080)	Prec@1 48.000 (48.070)	Prec@5 78.500 (78.502)
Epoch: [54][6050/9018]	Time 0.648 (0.628)	Data 0.001 (0.005)	Loss 1.8861 (2.0079)	Prec@1 49.000 (48.073)	Prec@5 83.500 (78.504)
Epoch: [54][6060/9018]	Time 0.599 (0.628)	Data 0.013 (0.005)	Loss 1.8578 (2.0080)	Prec@1 51.500 (48.070)	Prec@5 82.000 (78.504)
Epoch: [54][6070/9018]	Time 0.641 (0.628)	Data 0.001 (0.005)	Loss 2.0248 (2.0080)	Prec@1 44.500 (48.070)	Prec@5 79.500 (78.506)
Epoch: [54][6080/9018]	Time 0.604 (0.628)	Data 0.001 (0.005)	Loss 2.1808 (2.0081)	Prec@1 43.000 (48.067)	Prec@5 78.500 (78.505)
Epoch: [54][6090/9018]	Time 0.611 (0.628)	Data 0.004 (0.005)	Loss 1.7802 (2.0081)	Prec@1 52.500 (48.066)	Prec@5 80.500 (78.507)
Epoch: [54][6100/9018]	Time 0.641 (0.628)	Data 0.001 (0.005)	Loss 1.8297 (2.0080)	Prec@1 51.500 (48.067)	Prec@5 82.500 (78.508)
Epoch: [54][6110/9018]	Time 0.596 (0.628)	Data 0.009 (0.005)	Loss 2.0443 (2.0080)	Prec@1 48.000 (48.068)	Prec@5 79.500 (78.508)
Epoch: [54][6120/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 1.6724 (2.0081)	Prec@1 54.500 (48.066)	Prec@5 85.000 (78.505)
Epoch: [54][6130/9018]	Time 0.805 (0.628)	Data 0.001 (0.005)	Loss 1.9681 (2.0082)	Prec@1 53.000 (48.067)	Prec@5 79.000 (78.504)
Epoch: [54][6140/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 2.0469 (2.0081)	Prec@1 46.500 (48.067)	Prec@5 77.000 (78.504)
Epoch: [54][6150/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 2.1010 (2.0082)	Prec@1 46.000 (48.067)	Prec@5 75.500 (78.502)
Epoch: [54][6160/9018]	Time 0.629 (0.628)	Data 0.001 (0.005)	Loss 1.7844 (2.0082)	Prec@1 55.000 (48.067)	Prec@5 81.000 (78.501)
Epoch: [54][6170/9018]	Time 0.608 (0.628)	Data 0.001 (0.005)	Loss 1.9953 (2.0082)	Prec@1 50.000 (48.068)	Prec@5 76.500 (78.501)
Epoch: [54][6180/9018]	Time 0.714 (0.628)	Data 0.001 (0.005)	Loss 2.1632 (2.0082)	Prec@1 45.500 (48.067)	Prec@5 73.500 (78.500)
Epoch: [54][6190/9018]	Time 0.637 (0.628)	Data 0.001 (0.005)	Loss 1.9733 (2.0082)	Prec@1 51.500 (48.068)	Prec@5 78.000 (78.500)
Epoch: [54][6200/9018]	Time 0.596 (0.628)	Data 0.001 (0.005)	Loss 2.1030 (2.0083)	Prec@1 40.500 (48.067)	Prec@5 79.000 (78.498)
Epoch: [54][6210/9018]	Time 0.618 (0.628)	Data 0.015 (0.005)	Loss 2.2788 (2.0084)	Prec@1 43.000 (48.064)	Prec@5 74.000 (78.496)
Epoch: [54][6220/9018]	Time 0.608 (0.628)	Data 0.013 (0.005)	Loss 2.0672 (2.0085)	Prec@1 43.000 (48.061)	Prec@5 82.500 (78.496)
Epoch: [54][6230/9018]	Time 0.636 (0.628)	Data 0.001 (0.005)	Loss 2.1795 (2.0084)	Prec@1 45.000 (48.064)	Prec@5 75.500 (78.498)
Epoch: [54][6240/9018]	Time 0.639 (0.628)	Data 0.001 (0.005)	Loss 1.9079 (2.0085)	Prec@1 51.500 (48.062)	Prec@5 83.500 (78.498)
Epoch: [54][6250/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 1.9868 (2.0085)	Prec@1 46.500 (48.061)	Prec@5 76.500 (78.498)
Epoch: [54][6260/9018]	Time 0.612 (0.628)	Data 0.001 (0.005)	Loss 2.0891 (2.0085)	Prec@1 43.000 (48.059)	Prec@5 78.500 (78.499)
Epoch: [54][6270/9018]	Time 0.598 (0.628)	Data 0.001 (0.005)	Loss 2.1578 (2.0085)	Prec@1 46.000 (48.058)	Prec@5 77.000 (78.499)
Epoch: [54][6280/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 2.1425 (2.0087)	Prec@1 43.500 (48.053)	Prec@5 75.500 (78.497)
Epoch: [54][6290/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 2.2742 (2.0087)	Prec@1 42.000 (48.053)	Prec@5 77.500 (78.495)
Epoch: [54][6300/9018]	Time 0.610 (0.628)	Data 0.001 (0.005)	Loss 1.8861 (2.0088)	Prec@1 45.500 (48.050)	Prec@5 80.000 (78.494)
Epoch: [54][6310/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 1.7953 (2.0089)	Prec@1 49.000 (48.049)	Prec@5 82.500 (78.493)
Epoch: [54][6320/9018]	Time 0.591 (0.628)	Data 0.001 (0.005)	Loss 2.0043 (2.0089)	Prec@1 47.000 (48.049)	Prec@5 78.000 (78.493)
Epoch: [54][6330/9018]	Time 0.633 (0.628)	Data 0.001 (0.005)	Loss 1.9958 (2.0089)	Prec@1 46.500 (48.048)	Prec@5 79.500 (78.491)
Epoch: [54][6340/9018]	Time 0.646 (0.628)	Data 0.001 (0.005)	Loss 2.0404 (2.0090)	Prec@1 45.000 (48.045)	Prec@5 81.000 (78.491)
Epoch: [54][6350/9018]	Time 0.661 (0.628)	Data 0.001 (0.005)	Loss 2.0066 (2.0090)	Prec@1 48.500 (48.043)	Prec@5 77.500 (78.492)
Epoch: [54][6360/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.9340 (2.0091)	Prec@1 50.500 (48.044)	Prec@5 78.500 (78.492)
Epoch: [54][6370/9018]	Time 0.591 (0.628)	Data 0.001 (0.005)	Loss 2.0354 (2.0091)	Prec@1 44.000 (48.041)	Prec@5 81.000 (78.493)
Epoch: [54][6380/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 1.7550 (2.0091)	Prec@1 52.000 (48.041)	Prec@5 85.500 (78.493)
Epoch: [54][6390/9018]	Time 0.618 (0.628)	Data 0.001 (0.005)	Loss 2.1757 (2.0091)	Prec@1 44.500 (48.041)	Prec@5 75.000 (78.494)
Epoch: [54][6400/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 2.0168 (2.0091)	Prec@1 45.000 (48.039)	Prec@5 81.000 (78.494)
Epoch: [54][6410/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 2.0398 (2.0091)	Prec@1 47.500 (48.040)	Prec@5 76.000 (78.493)
Epoch: [54][6420/9018]	Time 0.628 (0.628)	Data 0.001 (0.005)	Loss 2.0289 (2.0091)	Prec@1 44.500 (48.039)	Prec@5 75.500 (78.493)
Epoch: [54][6430/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 1.8022 (2.0090)	Prec@1 56.500 (48.043)	Prec@5 82.000 (78.496)
Epoch: [54][6440/9018]	Time 0.625 (0.628)	Data 0.001 (0.005)	Loss 1.9073 (2.0090)	Prec@1 47.500 (48.044)	Prec@5 80.000 (78.497)
Epoch: [54][6450/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 2.2108 (2.0090)	Prec@1 41.000 (48.040)	Prec@5 76.000 (78.497)
Epoch: [54][6460/9018]	Time 0.762 (0.628)	Data 0.001 (0.005)	Loss 2.2765 (2.0091)	Prec@1 44.000 (48.038)	Prec@5 72.000 (78.495)
Epoch: [54][6470/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 1.8477 (2.0092)	Prec@1 49.000 (48.036)	Prec@5 81.500 (78.493)
Epoch: [54][6480/9018]	Time 0.624 (0.628)	Data 0.001 (0.005)	Loss 2.0486 (2.0091)	Prec@1 51.500 (48.038)	Prec@5 76.000 (78.495)
Epoch: [54][6490/9018]	Time 0.621 (0.628)	Data 0.001 (0.005)	Loss 2.2099 (2.0092)	Prec@1 44.500 (48.035)	Prec@5 73.500 (78.493)
Epoch: [54][6500/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 2.0476 (2.0092)	Prec@1 45.500 (48.033)	Prec@5 76.000 (78.493)
Epoch: [54][6510/9018]	Time 0.793 (0.628)	Data 0.001 (0.005)	Loss 1.9404 (2.0092)	Prec@1 50.500 (48.034)	Prec@5 79.000 (78.493)
Epoch: [54][6520/9018]	Time 0.596 (0.628)	Data 0.005 (0.005)	Loss 2.1039 (2.0093)	Prec@1 42.500 (48.033)	Prec@5 80.000 (78.493)
Epoch: [54][6530/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 2.2364 (2.0094)	Prec@1 46.500 (48.033)	Prec@5 75.000 (78.492)
Epoch: [54][6540/9018]	Time 0.597 (0.628)	Data 0.001 (0.005)	Loss 1.8626 (2.0094)	Prec@1 51.500 (48.033)	Prec@5 80.500 (78.492)
Epoch: [54][6550/9018]	Time 0.627 (0.628)	Data 0.001 (0.005)	Loss 2.0735 (2.0093)	Prec@1 48.500 (48.034)	Prec@5 79.000 (78.495)
Epoch: [54][6560/9018]	Time 0.623 (0.628)	Data 0.001 (0.005)	Loss 1.9715 (2.0093)	Prec@1 50.500 (48.033)	Prec@5 80.000 (78.495)
Epoch: [54][6570/9018]	Time 0.623 (0.628)	Data 0.001 (0.005)	Loss 2.1251 (2.0093)	Prec@1 45.500 (48.034)	Prec@5 76.000 (78.492)
Epoch: [54][6580/9018]	Time 0.597 (0.628)	Data 0.001 (0.005)	Loss 1.9856 (2.0093)	Prec@1 49.500 (48.034)	Prec@5 79.500 (78.491)
Epoch: [54][6590/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 2.0989 (2.0093)	Prec@1 46.000 (48.035)	Prec@5 75.500 (78.491)
Epoch: [54][6600/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 2.1161 (2.0093)	Prec@1 45.500 (48.036)	Prec@5 74.000 (78.490)
Epoch: [54][6610/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 1.9784 (2.0094)	Prec@1 50.000 (48.035)	Prec@5 78.000 (78.490)
Epoch: [54][6620/9018]	Time 0.595 (0.628)	Data 0.001 (0.005)	Loss 1.9758 (2.0094)	Prec@1 51.000 (48.037)	Prec@5 77.500 (78.489)
Epoch: [54][6630/9018]	Time 0.615 (0.628)	Data 0.001 (0.005)	Loss 2.0982 (2.0095)	Prec@1 40.500 (48.034)	Prec@5 78.000 (78.487)
Epoch: [54][6640/9018]	Time 0.602 (0.628)	Data 0.001 (0.005)	Loss 1.9015 (2.0095)	Prec@1 49.500 (48.035)	Prec@5 81.000 (78.485)
Epoch: [54][6650/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 1.9659 (2.0094)	Prec@1 49.500 (48.035)	Prec@5 79.500 (78.487)
Epoch: [54][6660/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 2.0316 (2.0095)	Prec@1 44.500 (48.036)	Prec@5 80.500 (78.486)
Epoch: [54][6670/9018]	Time 0.648 (0.628)	Data 0.001 (0.005)	Loss 2.0783 (2.0096)	Prec@1 44.500 (48.033)	Prec@5 77.500 (78.484)
Epoch: [54][6680/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 2.2025 (2.0096)	Prec@1 45.500 (48.031)	Prec@5 75.000 (78.483)
Epoch: [54][6690/9018]	Time 0.604 (0.628)	Data 0.001 (0.005)	Loss 2.0675 (2.0096)	Prec@1 42.500 (48.031)	Prec@5 79.000 (78.484)
Epoch: [54][6700/9018]	Time 0.602 (0.628)	Data 0.001 (0.005)	Loss 2.0154 (2.0096)	Prec@1 49.000 (48.031)	Prec@5 79.500 (78.484)
Epoch: [54][6710/9018]	Time 0.608 (0.628)	Data 0.001 (0.005)	Loss 1.7895 (2.0096)	Prec@1 56.500 (48.030)	Prec@5 83.000 (78.484)
Epoch: [54][6720/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 1.9229 (2.0096)	Prec@1 48.500 (48.030)	Prec@5 80.000 (78.484)
Epoch: [54][6730/9018]	Time 0.624 (0.628)	Data 0.001 (0.005)	Loss 1.9224 (2.0096)	Prec@1 47.000 (48.030)	Prec@5 75.000 (78.483)
Epoch: [54][6740/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 2.2400 (2.0097)	Prec@1 43.500 (48.029)	Prec@5 75.000 (78.482)
Epoch: [54][6750/9018]	Time 0.626 (0.628)	Data 0.001 (0.005)	Loss 2.0507 (2.0096)	Prec@1 48.000 (48.030)	Prec@5 75.000 (78.483)
Epoch: [54][6760/9018]	Time 0.592 (0.628)	Data 0.001 (0.005)	Loss 1.9062 (2.0095)	Prec@1 49.000 (48.033)	Prec@5 79.000 (78.483)
Epoch: [54][6770/9018]	Time 0.597 (0.628)	Data 0.001 (0.005)	Loss 2.2256 (2.0096)	Prec@1 43.000 (48.034)	Prec@5 74.000 (78.481)
Epoch: [54][6780/9018]	Time 0.629 (0.628)	Data 0.001 (0.005)	Loss 1.9731 (2.0097)	Prec@1 48.000 (48.032)	Prec@5 79.000 (78.478)
Epoch: [54][6790/9018]	Time 0.804 (0.628)	Data 0.001 (0.005)	Loss 1.8143 (2.0097)	Prec@1 54.500 (48.033)	Prec@5 84.500 (78.480)
Epoch: [54][6800/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 1.9518 (2.0097)	Prec@1 54.000 (48.033)	Prec@5 80.500 (78.479)
Epoch: [54][6810/9018]	Time 0.608 (0.628)	Data 0.001 (0.005)	Loss 2.0684 (2.0098)	Prec@1 50.500 (48.033)	Prec@5 76.500 (78.476)
Epoch: [54][6820/9018]	Time 0.655 (0.628)	Data 0.015 (0.005)	Loss 2.0520 (2.0099)	Prec@1 47.000 (48.032)	Prec@5 76.000 (78.475)
Epoch: [54][6830/9018]	Time 0.596 (0.628)	Data 0.001 (0.005)	Loss 2.1607 (2.0100)	Prec@1 44.000 (48.031)	Prec@5 77.500 (78.474)
Epoch: [54][6840/9018]	Time 0.754 (0.628)	Data 0.001 (0.005)	Loss 1.9007 (2.0100)	Prec@1 45.000 (48.031)	Prec@5 78.000 (78.472)
Epoch: [54][6850/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 2.1509 (2.0101)	Prec@1 44.500 (48.030)	Prec@5 76.000 (78.470)
Epoch: [54][6860/9018]	Time 0.628 (0.628)	Data 0.001 (0.005)	Loss 2.1191 (2.0102)	Prec@1 46.500 (48.030)	Prec@5 74.000 (78.469)
Epoch: [54][6870/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 2.0322 (2.0103)	Prec@1 46.500 (48.027)	Prec@5 75.500 (78.469)
Epoch: [54][6880/9018]	Time 0.597 (0.628)	Data 0.001 (0.005)	Loss 2.0214 (2.0103)	Prec@1 49.500 (48.027)	Prec@5 76.000 (78.468)
Epoch: [54][6890/9018]	Time 0.627 (0.628)	Data 0.001 (0.005)	Loss 1.9527 (2.0102)	Prec@1 49.000 (48.026)	Prec@5 77.000 (78.469)
Epoch: [54][6900/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 2.1023 (2.0103)	Prec@1 44.000 (48.027)	Prec@5 77.500 (78.468)
Epoch: [54][6910/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 1.9090 (2.0103)	Prec@1 50.500 (48.028)	Prec@5 78.500 (78.468)
Epoch: [54][6920/9018]	Time 0.592 (0.628)	Data 0.001 (0.005)	Loss 1.9390 (2.0103)	Prec@1 46.500 (48.028)	Prec@5 79.500 (78.469)
Epoch: [54][6930/9018]	Time 0.604 (0.628)	Data 0.001 (0.005)	Loss 1.9456 (2.0102)	Prec@1 50.000 (48.028)	Prec@5 79.500 (78.469)
Epoch: [54][6940/9018]	Time 0.627 (0.628)	Data 0.001 (0.005)	Loss 1.9828 (2.0104)	Prec@1 51.000 (48.025)	Prec@5 78.000 (78.466)
Epoch: [54][6950/9018]	Time 0.612 (0.628)	Data 0.001 (0.005)	Loss 1.8487 (2.0104)	Prec@1 51.000 (48.024)	Prec@5 80.500 (78.466)
Epoch: [54][6960/9018]	Time 0.647 (0.628)	Data 0.001 (0.005)	Loss 1.9078 (2.0105)	Prec@1 53.500 (48.024)	Prec@5 81.000 (78.464)
Epoch: [54][6970/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 2.1571 (2.0106)	Prec@1 43.500 (48.022)	Prec@5 74.000 (78.462)
Epoch: [54][6980/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 2.0928 (2.0107)	Prec@1 44.500 (48.022)	Prec@5 79.000 (78.461)
Epoch: [54][6990/9018]	Time 0.596 (0.628)	Data 0.001 (0.005)	Loss 2.0683 (2.0106)	Prec@1 41.500 (48.023)	Prec@5 76.500 (78.463)
Epoch: [54][7000/9018]	Time 0.606 (0.628)	Data 0.001 (0.005)	Loss 1.8101 (2.0106)	Prec@1 54.000 (48.023)	Prec@5 80.500 (78.462)
Epoch: [54][7010/9018]	Time 0.633 (0.628)	Data 0.001 (0.005)	Loss 1.7990 (2.0106)	Prec@1 53.500 (48.024)	Prec@5 82.000 (78.461)
Epoch: [54][7020/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 2.0685 (2.0106)	Prec@1 47.000 (48.024)	Prec@5 77.500 (78.462)
Epoch: [54][7030/9018]	Time 0.613 (0.628)	Data 0.001 (0.005)	Loss 2.0370 (2.0106)	Prec@1 44.000 (48.024)	Prec@5 77.500 (78.462)
Epoch: [54][7040/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 1.9546 (2.0107)	Prec@1 54.500 (48.024)	Prec@5 79.500 (78.462)
Epoch: [54][7050/9018]	Time 0.597 (0.628)	Data 0.001 (0.005)	Loss 1.9562 (2.0107)	Prec@1 49.500 (48.024)	Prec@5 78.000 (78.462)
Epoch: [54][7060/9018]	Time 0.627 (0.628)	Data 0.001 (0.005)	Loss 2.0302 (2.0106)	Prec@1 44.000 (48.025)	Prec@5 77.000 (78.464)
Epoch: [54][7070/9018]	Time 0.637 (0.628)	Data 0.001 (0.005)	Loss 1.9884 (2.0106)	Prec@1 49.000 (48.023)	Prec@5 79.000 (78.462)
Epoch: [54][7080/9018]	Time 0.603 (0.628)	Data 0.001 (0.005)	Loss 1.9671 (2.0105)	Prec@1 45.500 (48.024)	Prec@5 80.500 (78.463)
Epoch: [54][7090/9018]	Time 0.621 (0.628)	Data 0.001 (0.005)	Loss 2.0928 (2.0105)	Prec@1 46.000 (48.021)	Prec@5 77.000 (78.463)
Epoch: [54][7100/9018]	Time 0.631 (0.628)	Data 0.001 (0.005)	Loss 2.0624 (2.0105)	Prec@1 42.000 (48.021)	Prec@5 78.000 (78.463)
Epoch: [54][7110/9018]	Time 0.604 (0.628)	Data 0.001 (0.005)	Loss 2.0598 (2.0104)	Prec@1 46.500 (48.024)	Prec@5 78.500 (78.465)
Epoch: [54][7120/9018]	Time 0.796 (0.628)	Data 0.001 (0.005)	Loss 1.8062 (2.0104)	Prec@1 51.000 (48.022)	Prec@5 79.000 (78.464)
Epoch: [54][7130/9018]	Time 0.598 (0.628)	Data 0.001 (0.005)	Loss 1.9347 (2.0104)	Prec@1 51.000 (48.020)	Prec@5 79.500 (78.463)
Epoch: [54][7140/9018]	Time 0.623 (0.628)	Data 0.004 (0.005)	Loss 1.9471 (2.0104)	Prec@1 53.000 (48.021)	Prec@5 78.000 (78.465)
Epoch: [54][7150/9018]	Time 0.617 (0.628)	Data 0.001 (0.005)	Loss 1.6934 (2.0104)	Prec@1 56.000 (48.021)	Prec@5 85.500 (78.466)
Epoch: [54][7160/9018]	Time 0.632 (0.628)	Data 0.001 (0.005)	Loss 2.0203 (2.0105)	Prec@1 49.500 (48.019)	Prec@5 76.000 (78.464)
Epoch: [54][7170/9018]	Time 0.782 (0.628)	Data 0.001 (0.005)	Loss 2.2407 (2.0105)	Prec@1 43.000 (48.020)	Prec@5 76.000 (78.465)
Epoch: [54][7180/9018]	Time 0.601 (0.628)	Data 0.006 (0.005)	Loss 2.1056 (2.0105)	Prec@1 49.000 (48.018)	Prec@5 78.500 (78.463)
Epoch: [54][7190/9018]	Time 0.635 (0.628)	Data 0.001 (0.005)	Loss 1.8864 (2.0105)	Prec@1 51.500 (48.018)	Prec@5 81.000 (78.464)
Epoch: [54][7200/9018]	Time 0.591 (0.628)	Data 0.001 (0.005)	Loss 2.0119 (2.0106)	Prec@1 47.500 (48.018)	Prec@5 78.000 (78.463)
Epoch: [54][7210/9018]	Time 0.627 (0.628)	Data 0.001 (0.005)	Loss 2.0662 (2.0106)	Prec@1 43.500 (48.017)	Prec@5 77.500 (78.461)
Epoch: [54][7220/9018]	Time 0.628 (0.628)	Data 0.001 (0.005)	Loss 2.0160 (2.0106)	Prec@1 44.000 (48.015)	Prec@5 79.500 (78.460)
Epoch: [54][7230/9018]	Time 0.618 (0.628)	Data 0.001 (0.005)	Loss 2.0146 (2.0105)	Prec@1 43.000 (48.017)	Prec@5 80.000 (78.463)
Epoch: [54][7240/9018]	Time 0.605 (0.628)	Data 0.001 (0.005)	Loss 1.9267 (2.0106)	Prec@1 52.500 (48.017)	Prec@5 79.000 (78.461)
Epoch: [54][7250/9018]	Time 0.619 (0.628)	Data 0.001 (0.005)	Loss 1.8351 (2.0106)	Prec@1 54.500 (48.016)	Prec@5 81.000 (78.461)
Epoch: [54][7260/9018]	Time 0.600 (0.628)	Data 0.001 (0.005)	Loss 2.1332 (2.0106)	Prec@1 40.500 (48.016)	Prec@5 79.000 (78.460)
Epoch: [54][7270/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 2.0769 (2.0106)	Prec@1 44.500 (48.014)	Prec@5 79.500 (78.459)
Epoch: [54][7280/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 1.9455 (2.0107)	Prec@1 50.000 (48.013)	Prec@5 80.000 (78.460)
Epoch: [54][7290/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 2.1065 (2.0106)	Prec@1 43.500 (48.014)	Prec@5 79.000 (78.459)
Epoch: [54][7300/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 1.8870 (2.0107)	Prec@1 49.000 (48.012)	Prec@5 81.000 (78.458)
Epoch: [54][7310/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 2.0153 (2.0107)	Prec@1 49.500 (48.014)	Prec@5 76.500 (78.459)
Epoch: [54][7320/9018]	Time 0.642 (0.628)	Data 0.014 (0.005)	Loss 1.6108 (2.0107)	Prec@1 55.500 (48.012)	Prec@5 83.500 (78.459)
Epoch: [54][7330/9018]	Time 0.595 (0.627)	Data 0.001 (0.005)	Loss 2.0899 (2.0106)	Prec@1 48.000 (48.014)	Prec@5 78.500 (78.460)
Epoch: [54][7340/9018]	Time 0.666 (0.628)	Data 0.001 (0.005)	Loss 1.9393 (2.0107)	Prec@1 50.500 (48.012)	Prec@5 77.000 (78.457)
Epoch: [54][7350/9018]	Time 0.600 (0.627)	Data 0.001 (0.005)	Loss 1.9055 (2.0107)	Prec@1 48.500 (48.010)	Prec@5 79.000 (78.458)
Epoch: [54][7360/9018]	Time 0.623 (0.627)	Data 0.001 (0.005)	Loss 1.8878 (2.0107)	Prec@1 48.000 (48.011)	Prec@5 79.500 (78.457)
Epoch: [54][7370/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 2.1099 (2.0107)	Prec@1 44.500 (48.012)	Prec@5 76.500 (78.458)
Epoch: [54][7380/9018]	Time 0.621 (0.627)	Data 0.015 (0.005)	Loss 2.1562 (2.0108)	Prec@1 46.000 (48.011)	Prec@5 74.500 (78.457)
Epoch: [54][7390/9018]	Time 0.595 (0.627)	Data 0.001 (0.005)	Loss 1.9010 (2.0107)	Prec@1 47.500 (48.013)	Prec@5 79.500 (78.459)
Epoch: [54][7400/9018]	Time 0.632 (0.627)	Data 0.003 (0.005)	Loss 2.0438 (2.0107)	Prec@1 46.500 (48.011)	Prec@5 82.500 (78.458)
Epoch: [54][7410/9018]	Time 0.605 (0.627)	Data 0.001 (0.005)	Loss 2.1639 (2.0109)	Prec@1 49.500 (48.009)	Prec@5 76.500 (78.456)
Epoch: [54][7420/9018]	Time 0.618 (0.627)	Data 0.001 (0.005)	Loss 2.1460 (2.0110)	Prec@1 47.500 (48.008)	Prec@5 75.500 (78.456)
Epoch: [54][7430/9018]	Time 0.606 (0.627)	Data 0.001 (0.005)	Loss 2.2238 (2.0110)	Prec@1 39.500 (48.006)	Prec@5 74.500 (78.456)
Epoch: [54][7440/9018]	Time 0.615 (0.627)	Data 0.001 (0.005)	Loss 2.1288 (2.0111)	Prec@1 49.500 (48.004)	Prec@5 76.000 (78.454)
Epoch: [54][7450/9018]	Time 0.758 (0.627)	Data 0.001 (0.005)	Loss 1.9952 (2.0111)	Prec@1 47.000 (48.004)	Prec@5 81.000 (78.454)
Epoch: [54][7460/9018]	Time 0.612 (0.627)	Data 0.001 (0.005)	Loss 2.0654 (2.0111)	Prec@1 44.000 (48.004)	Prec@5 76.500 (78.453)
Epoch: [54][7470/9018]	Time 0.590 (0.627)	Data 0.001 (0.004)	Loss 1.8870 (2.0112)	Prec@1 54.500 (48.004)	Prec@5 80.500 (78.453)
Epoch: [54][7480/9018]	Time 0.632 (0.627)	Data 0.001 (0.004)	Loss 2.1053 (2.0111)	Prec@1 45.000 (48.005)	Prec@5 75.500 (78.455)
Epoch: [54][7490/9018]	Time 0.600 (0.627)	Data 0.001 (0.004)	Loss 1.9339 (2.0111)	Prec@1 48.500 (48.005)	Prec@5 82.500 (78.455)
Epoch: [54][7500/9018]	Time 0.761 (0.627)	Data 0.001 (0.004)	Loss 2.0012 (2.0111)	Prec@1 44.000 (48.004)	Prec@5 80.000 (78.455)
Epoch: [54][7510/9018]	Time 0.616 (0.627)	Data 0.001 (0.005)	Loss 2.0304 (2.0111)	Prec@1 48.500 (48.005)	Prec@5 78.000 (78.455)
Epoch: [54][7520/9018]	Time 0.624 (0.628)	Data 0.001 (0.005)	Loss 1.8488 (2.0110)	Prec@1 54.000 (48.006)	Prec@5 82.500 (78.457)
Epoch: [54][7530/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 2.1394 (2.0110)	Prec@1 46.500 (48.004)	Prec@5 77.500 (78.456)
Epoch: [54][7540/9018]	Time 0.614 (0.627)	Data 0.001 (0.005)	Loss 1.8870 (2.0110)	Prec@1 51.000 (48.004)	Prec@5 82.000 (78.457)
Epoch: [54][7550/9018]	Time 0.605 (0.627)	Data 0.014 (0.005)	Loss 1.9110 (2.0111)	Prec@1 48.500 (48.004)	Prec@5 80.000 (78.457)
Epoch: [54][7560/9018]	Time 0.655 (0.627)	Data 0.001 (0.005)	Loss 1.9780 (2.0111)	Prec@1 54.500 (48.003)	Prec@5 80.000 (78.457)
Epoch: [54][7570/9018]	Time 0.635 (0.627)	Data 0.001 (0.005)	Loss 2.1078 (2.0111)	Prec@1 47.500 (48.002)	Prec@5 79.500 (78.458)
Epoch: [54][7580/9018]	Time 0.604 (0.627)	Data 0.001 (0.005)	Loss 1.8627 (2.0112)	Prec@1 52.000 (48.001)	Prec@5 82.000 (78.457)
Epoch: [54][7590/9018]	Time 0.598 (0.627)	Data 0.001 (0.005)	Loss 2.1310 (2.0113)	Prec@1 46.500 (47.999)	Prec@5 78.000 (78.456)
Epoch: [54][7600/9018]	Time 0.643 (0.627)	Data 0.001 (0.005)	Loss 2.2403 (2.0113)	Prec@1 46.500 (47.998)	Prec@5 75.000 (78.455)
Epoch: [54][7610/9018]	Time 0.595 (0.627)	Data 0.001 (0.005)	Loss 1.7836 (2.0112)	Prec@1 53.000 (47.999)	Prec@5 81.500 (78.457)
Epoch: [54][7620/9018]	Time 0.604 (0.627)	Data 0.001 (0.005)	Loss 1.9977 (2.0112)	Prec@1 50.000 (48.001)	Prec@5 78.000 (78.458)
Epoch: [54][7630/9018]	Time 0.620 (0.627)	Data 0.016 (0.005)	Loss 2.0286 (2.0112)	Prec@1 47.000 (48.001)	Prec@5 80.000 (78.457)
Epoch: [54][7640/9018]	Time 0.656 (0.627)	Data 0.014 (0.005)	Loss 2.1726 (2.0112)	Prec@1 45.500 (48.000)	Prec@5 77.500 (78.456)
Epoch: [54][7650/9018]	Time 0.638 (0.627)	Data 0.001 (0.005)	Loss 2.0909 (2.0112)	Prec@1 45.000 (48.000)	Prec@5 79.500 (78.457)
Epoch: [54][7660/9018]	Time 0.603 (0.627)	Data 0.001 (0.005)	Loss 1.8419 (2.0113)	Prec@1 48.000 (47.999)	Prec@5 81.500 (78.456)
Epoch: [54][7670/9018]	Time 0.604 (0.627)	Data 0.013 (0.005)	Loss 2.0164 (2.0113)	Prec@1 44.500 (47.999)	Prec@5 79.000 (78.457)
Epoch: [54][7680/9018]	Time 0.624 (0.627)	Data 0.012 (0.005)	Loss 1.9945 (2.0112)	Prec@1 51.000 (48.001)	Prec@5 77.000 (78.457)
Epoch: [54][7690/9018]	Time 0.621 (0.627)	Data 0.001 (0.005)	Loss 1.9721 (2.0112)	Prec@1 49.000 (48.003)	Prec@5 79.000 (78.458)
Epoch: [54][7700/9018]	Time 0.653 (0.627)	Data 0.001 (0.005)	Loss 1.8287 (2.0111)	Prec@1 50.000 (48.004)	Prec@5 82.500 (78.458)
Epoch: [54][7710/9018]	Time 0.601 (0.627)	Data 0.001 (0.005)	Loss 1.8748 (2.0111)	Prec@1 48.500 (48.003)	Prec@5 81.500 (78.458)
Epoch: [54][7720/9018]	Time 0.629 (0.627)	Data 0.001 (0.005)	Loss 2.1726 (2.0112)	Prec@1 45.000 (48.003)	Prec@5 76.000 (78.457)
Epoch: [54][7730/9018]	Time 0.594 (0.627)	Data 0.001 (0.005)	Loss 2.1401 (2.0112)	Prec@1 48.500 (48.003)	Prec@5 75.000 (78.457)
Epoch: [54][7740/9018]	Time 0.619 (0.627)	Data 0.017 (0.005)	Loss 2.2212 (2.0112)	Prec@1 41.500 (48.001)	Prec@5 73.000 (78.456)
Epoch: [54][7750/9018]	Time 0.630 (0.627)	Data 0.001 (0.005)	Loss 2.0981 (2.0112)	Prec@1 46.000 (48.002)	Prec@5 75.000 (78.457)
Epoch: [54][7760/9018]	Time 0.601 (0.627)	Data 0.001 (0.005)	Loss 1.9881 (2.0113)	Prec@1 47.500 (48.000)	Prec@5 78.000 (78.456)
Epoch: [54][7770/9018]	Time 0.604 (0.627)	Data 0.001 (0.005)	Loss 2.1337 (2.0112)	Prec@1 47.500 (48.002)	Prec@5 76.500 (78.457)
Epoch: [54][7780/9018]	Time 0.730 (0.627)	Data 0.001 (0.005)	Loss 2.1356 (2.0112)	Prec@1 43.500 (48.001)	Prec@5 74.500 (78.457)
Epoch: [54][7790/9018]	Time 0.636 (0.627)	Data 0.001 (0.004)	Loss 2.1945 (2.0113)	Prec@1 43.500 (47.999)	Prec@5 73.000 (78.456)
Epoch: [54][7800/9018]	Time 0.596 (0.627)	Data 0.001 (0.004)	Loss 1.9296 (2.0113)	Prec@1 49.000 (47.998)	Prec@5 79.000 (78.456)
Epoch: [54][7810/9018]	Time 0.613 (0.627)	Data 0.014 (0.004)	Loss 2.0165 (2.0113)	Prec@1 46.500 (47.999)	Prec@5 76.000 (78.456)
Epoch: [54][7820/9018]	Time 0.588 (0.627)	Data 0.001 (0.004)	Loss 2.0779 (2.0113)	Prec@1 47.000 (47.999)	Prec@5 80.000 (78.456)
Epoch: [54][7830/9018]	Time 0.781 (0.627)	Data 0.001 (0.004)	Loss 2.0403 (2.0114)	Prec@1 48.000 (47.995)	Prec@5 78.500 (78.455)
Epoch: [54][7840/9018]	Time 0.626 (0.627)	Data 0.015 (0.004)	Loss 2.0147 (2.0115)	Prec@1 49.000 (47.994)	Prec@5 77.500 (78.454)
Epoch: [54][7850/9018]	Time 0.626 (0.627)	Data 0.016 (0.004)	Loss 2.0544 (2.0115)	Prec@1 47.500 (47.992)	Prec@5 77.000 (78.453)
Epoch: [54][7860/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 1.7335 (2.0115)	Prec@1 56.000 (47.992)	Prec@5 80.500 (78.454)
Epoch: [54][7870/9018]	Time 0.620 (0.627)	Data 0.001 (0.004)	Loss 2.1193 (2.0115)	Prec@1 47.500 (47.993)	Prec@5 72.500 (78.453)
Epoch: [54][7880/9018]	Time 0.638 (0.627)	Data 0.001 (0.004)	Loss 2.1240 (2.0115)	Prec@1 43.000 (47.993)	Prec@5 80.500 (78.453)
Epoch: [54][7890/9018]	Time 0.652 (0.627)	Data 0.001 (0.004)	Loss 2.0076 (2.0116)	Prec@1 48.000 (47.990)	Prec@5 81.500 (78.453)
Epoch: [54][7900/9018]	Time 0.618 (0.627)	Data 0.001 (0.004)	Loss 1.9358 (2.0116)	Prec@1 48.500 (47.988)	Prec@5 79.500 (78.453)
Epoch: [54][7910/9018]	Time 0.595 (0.627)	Data 0.001 (0.004)	Loss 1.9625 (2.0116)	Prec@1 45.000 (47.987)	Prec@5 78.500 (78.453)
Epoch: [54][7920/9018]	Time 0.616 (0.627)	Data 0.001 (0.004)	Loss 2.1469 (2.0116)	Prec@1 46.500 (47.986)	Prec@5 78.000 (78.453)
Epoch: [54][7930/9018]	Time 0.640 (0.627)	Data 0.001 (0.004)	Loss 2.1424 (2.0116)	Prec@1 44.000 (47.985)	Prec@5 73.500 (78.453)
Epoch: [54][7940/9018]	Time 0.617 (0.627)	Data 0.001 (0.004)	Loss 1.8440 (2.0117)	Prec@1 50.500 (47.985)	Prec@5 84.000 (78.451)
Epoch: [54][7950/9018]	Time 0.604 (0.627)	Data 0.001 (0.004)	Loss 2.1644 (2.0116)	Prec@1 45.000 (47.989)	Prec@5 72.500 (78.452)
Epoch: [54][7960/9018]	Time 0.595 (0.627)	Data 0.001 (0.004)	Loss 1.8553 (2.0116)	Prec@1 49.500 (47.989)	Prec@5 81.500 (78.453)
Epoch: [54][7970/9018]	Time 0.603 (0.627)	Data 0.017 (0.004)	Loss 1.9949 (2.0115)	Prec@1 44.000 (47.989)	Prec@5 83.000 (78.454)
Epoch: [54][7980/9018]	Time 0.595 (0.627)	Data 0.001 (0.004)	Loss 1.8250 (2.0116)	Prec@1 49.500 (47.989)	Prec@5 83.000 (78.453)
Epoch: [54][7990/9018]	Time 0.630 (0.627)	Data 0.015 (0.004)	Loss 1.9867 (2.0115)	Prec@1 48.000 (47.990)	Prec@5 78.500 (78.454)
Epoch: [54][8000/9018]	Time 0.629 (0.627)	Data 0.001 (0.004)	Loss 1.9685 (2.0115)	Prec@1 51.000 (47.991)	Prec@5 74.000 (78.453)
Epoch: [54][8010/9018]	Time 0.609 (0.627)	Data 0.015 (0.004)	Loss 1.8803 (2.0115)	Prec@1 51.000 (47.992)	Prec@5 80.000 (78.453)
Epoch: [54][8020/9018]	Time 0.656 (0.627)	Data 0.001 (0.004)	Loss 1.8729 (2.0116)	Prec@1 53.000 (47.991)	Prec@5 79.000 (78.453)
Epoch: [54][8030/9018]	Time 0.654 (0.627)	Data 0.001 (0.004)	Loss 2.1547 (2.0116)	Prec@1 49.000 (47.991)	Prec@5 78.500 (78.453)
Epoch: [54][8040/9018]	Time 0.598 (0.627)	Data 0.001 (0.004)	Loss 2.0969 (2.0117)	Prec@1 42.000 (47.988)	Prec@5 76.500 (78.451)
Epoch: [54][8050/9018]	Time 0.596 (0.627)	Data 0.001 (0.004)	Loss 2.1235 (2.0118)	Prec@1 46.000 (47.986)	Prec@5 78.500 (78.449)
Epoch: [54][8060/9018]	Time 0.608 (0.627)	Data 0.001 (0.004)	Loss 1.9118 (2.0117)	Prec@1 51.500 (47.988)	Prec@5 80.000 (78.449)
Epoch: [54][8070/9018]	Time 0.598 (0.627)	Data 0.001 (0.004)	Loss 1.9175 (2.0118)	Prec@1 49.000 (47.988)	Prec@5 81.000 (78.449)
Epoch: [54][8080/9018]	Time 0.617 (0.627)	Data 0.001 (0.004)	Loss 1.8714 (2.0118)	Prec@1 47.500 (47.986)	Prec@5 79.500 (78.447)
Epoch: [54][8090/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 2.0010 (2.0118)	Prec@1 47.000 (47.987)	Prec@5 76.000 (78.446)
Epoch: [54][8100/9018]	Time 0.635 (0.627)	Data 0.001 (0.004)	Loss 2.2372 (2.0118)	Prec@1 41.000 (47.986)	Prec@5 72.500 (78.445)
Epoch: [54][8110/9018]	Time 0.740 (0.627)	Data 0.001 (0.004)	Loss 2.1052 (2.0119)	Prec@1 44.500 (47.983)	Prec@5 77.000 (78.444)
Epoch: [54][8120/9018]	Time 0.620 (0.627)	Data 0.001 (0.004)	Loss 1.9688 (2.0119)	Prec@1 49.000 (47.981)	Prec@5 80.500 (78.445)
Epoch: [54][8130/9018]	Time 0.610 (0.627)	Data 0.001 (0.004)	Loss 1.9642 (2.0118)	Prec@1 51.000 (47.982)	Prec@5 81.500 (78.447)
Epoch: [54][8140/9018]	Time 0.603 (0.627)	Data 0.001 (0.004)	Loss 2.0074 (2.0119)	Prec@1 49.500 (47.981)	Prec@5 76.500 (78.446)
Epoch: [54][8150/9018]	Time 0.628 (0.627)	Data 0.001 (0.004)	Loss 1.9726 (2.0119)	Prec@1 49.500 (47.982)	Prec@5 78.000 (78.445)
Epoch: [54][8160/9018]	Time 0.739 (0.627)	Data 0.001 (0.004)	Loss 1.9384 (2.0118)	Prec@1 47.000 (47.984)	Prec@5 80.000 (78.445)
Epoch: [54][8170/9018]	Time 0.603 (0.627)	Data 0.009 (0.004)	Loss 1.9047 (2.0118)	Prec@1 56.000 (47.985)	Prec@5 78.000 (78.447)
Epoch: [54][8180/9018]	Time 0.616 (0.627)	Data 0.001 (0.004)	Loss 2.0791 (2.0119)	Prec@1 44.500 (47.985)	Prec@5 74.000 (78.444)
Epoch: [54][8190/9018]	Time 0.618 (0.627)	Data 0.001 (0.004)	Loss 2.0288 (2.0118)	Prec@1 45.000 (47.985)	Prec@5 78.000 (78.446)
Epoch: [54][8200/9018]	Time 0.610 (0.627)	Data 0.001 (0.004)	Loss 2.0173 (2.0119)	Prec@1 52.500 (47.984)	Prec@5 80.000 (78.445)
Epoch: [54][8210/9018]	Time 0.623 (0.627)	Data 0.001 (0.004)	Loss 1.9889 (2.0118)	Prec@1 45.500 (47.987)	Prec@5 81.000 (78.445)
Epoch: [54][8220/9018]	Time 0.616 (0.627)	Data 0.001 (0.004)	Loss 1.9719 (2.0119)	Prec@1 50.000 (47.986)	Prec@5 82.500 (78.444)
Epoch: [54][8230/9018]	Time 0.594 (0.627)	Data 0.001 (0.004)	Loss 2.2378 (2.0119)	Prec@1 41.500 (47.983)	Prec@5 73.500 (78.443)
Epoch: [54][8240/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 2.0101 (2.0119)	Prec@1 46.000 (47.984)	Prec@5 78.500 (78.443)
Epoch: [54][8250/9018]	Time 0.608 (0.627)	Data 0.007 (0.004)	Loss 2.0022 (2.0120)	Prec@1 51.000 (47.982)	Prec@5 77.500 (78.441)
Epoch: [54][8260/9018]	Time 0.619 (0.627)	Data 0.001 (0.004)	Loss 2.1113 (2.0119)	Prec@1 48.500 (47.981)	Prec@5 77.000 (78.441)
Epoch: [54][8270/9018]	Time 0.620 (0.627)	Data 0.001 (0.004)	Loss 1.8331 (2.0119)	Prec@1 48.500 (47.981)	Prec@5 83.500 (78.441)
Epoch: [54][8280/9018]	Time 0.609 (0.627)	Data 0.001 (0.004)	Loss 2.2639 (2.0119)	Prec@1 40.000 (47.981)	Prec@5 72.000 (78.441)
Epoch: [54][8290/9018]	Time 0.623 (0.627)	Data 0.001 (0.004)	Loss 2.0027 (2.0119)	Prec@1 48.000 (47.980)	Prec@5 82.000 (78.442)
Epoch: [54][8300/9018]	Time 0.636 (0.627)	Data 0.001 (0.004)	Loss 2.0266 (2.0119)	Prec@1 49.500 (47.983)	Prec@5 79.500 (78.442)
Epoch: [54][8310/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 1.9730 (2.0119)	Prec@1 51.500 (47.982)	Prec@5 82.500 (78.443)
Epoch: [54][8320/9018]	Time 0.611 (0.627)	Data 0.001 (0.004)	Loss 1.7564 (2.0119)	Prec@1 55.000 (47.984)	Prec@5 83.000 (78.443)
Epoch: [54][8330/9018]	Time 0.617 (0.627)	Data 0.025 (0.004)	Loss 2.2508 (2.0119)	Prec@1 44.000 (47.982)	Prec@5 74.000 (78.442)
Epoch: [54][8340/9018]	Time 0.649 (0.627)	Data 0.002 (0.004)	Loss 2.0351 (2.0120)	Prec@1 47.500 (47.982)	Prec@5 79.500 (78.441)
Epoch: [54][8350/9018]	Time 0.623 (0.627)	Data 0.016 (0.004)	Loss 2.0825 (2.0120)	Prec@1 49.500 (47.982)	Prec@5 72.500 (78.439)
Epoch: [54][8360/9018]	Time 0.627 (0.627)	Data 0.001 (0.004)	Loss 1.9679 (2.0120)	Prec@1 51.000 (47.983)	Prec@5 79.500 (78.441)
Epoch: [54][8370/9018]	Time 0.641 (0.627)	Data 0.001 (0.004)	Loss 1.9262 (2.0120)	Prec@1 50.500 (47.985)	Prec@5 77.000 (78.441)
Epoch: [54][8380/9018]	Time 0.627 (0.627)	Data 0.001 (0.004)	Loss 1.9682 (2.0120)	Prec@1 47.000 (47.985)	Prec@5 82.500 (78.440)
Epoch: [54][8390/9018]	Time 0.602 (0.627)	Data 0.001 (0.004)	Loss 1.8503 (2.0120)	Prec@1 51.500 (47.984)	Prec@5 78.500 (78.441)
Epoch: [54][8400/9018]	Time 0.603 (0.627)	Data 0.001 (0.004)	Loss 2.1218 (2.0120)	Prec@1 45.000 (47.986)	Prec@5 79.000 (78.440)
Epoch: [54][8410/9018]	Time 0.619 (0.627)	Data 0.001 (0.004)	Loss 2.3247 (2.0121)	Prec@1 43.000 (47.984)	Prec@5 72.000 (78.438)
Epoch: [54][8420/9018]	Time 0.604 (0.627)	Data 0.001 (0.004)	Loss 1.9653 (2.0122)	Prec@1 50.000 (47.981)	Prec@5 77.000 (78.437)
Epoch: [54][8430/9018]	Time 0.624 (0.627)	Data 0.001 (0.004)	Loss 2.0844 (2.0122)	Prec@1 46.500 (47.981)	Prec@5 76.000 (78.436)
Epoch: [54][8440/9018]	Time 0.771 (0.627)	Data 0.001 (0.004)	Loss 1.7173 (2.0122)	Prec@1 54.500 (47.981)	Prec@5 84.000 (78.435)
Epoch: [54][8450/9018]	Time 0.591 (0.627)	Data 0.001 (0.004)	Loss 2.1943 (2.0121)	Prec@1 40.500 (47.981)	Prec@5 80.000 (78.437)
Epoch: [54][8460/9018]	Time 0.631 (0.627)	Data 0.014 (0.004)	Loss 2.0684 (2.0121)	Prec@1 47.500 (47.978)	Prec@5 76.000 (78.437)
Epoch: [54][8470/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 2.1354 (2.0122)	Prec@1 43.000 (47.977)	Prec@5 77.000 (78.436)
Epoch: [54][8480/9018]	Time 0.619 (0.627)	Data 0.001 (0.004)	Loss 2.0000 (2.0123)	Prec@1 47.000 (47.976)	Prec@5 77.000 (78.434)
Epoch: [54][8490/9018]	Time 0.751 (0.627)	Data 0.001 (0.004)	Loss 1.8992 (2.0123)	Prec@1 52.000 (47.976)	Prec@5 82.500 (78.435)
Epoch: [54][8500/9018]	Time 0.621 (0.627)	Data 0.014 (0.004)	Loss 2.0441 (2.0123)	Prec@1 45.500 (47.975)	Prec@5 78.000 (78.435)
Epoch: [54][8510/9018]	Time 0.656 (0.627)	Data 0.001 (0.004)	Loss 1.9502 (2.0123)	Prec@1 46.500 (47.974)	Prec@5 78.000 (78.434)
Epoch: [54][8520/9018]	Time 0.592 (0.627)	Data 0.001 (0.004)	Loss 2.3112 (2.0124)	Prec@1 47.500 (47.975)	Prec@5 71.000 (78.432)
Epoch: [54][8530/9018]	Time 0.634 (0.627)	Data 0.001 (0.004)	Loss 2.1563 (2.0125)	Prec@1 45.500 (47.970)	Prec@5 77.000 (78.429)
Epoch: [54][8540/9018]	Time 0.624 (0.627)	Data 0.001 (0.004)	Loss 1.9885 (2.0125)	Prec@1 49.500 (47.969)	Prec@5 80.500 (78.430)
Epoch: [54][8550/9018]	Time 0.602 (0.627)	Data 0.005 (0.004)	Loss 1.8938 (2.0126)	Prec@1 47.000 (47.966)	Prec@5 82.000 (78.428)
Epoch: [54][8560/9018]	Time 0.617 (0.627)	Data 0.001 (0.004)	Loss 2.1534 (2.0126)	Prec@1 45.500 (47.964)	Prec@5 75.000 (78.428)
Epoch: [54][8570/9018]	Time 0.608 (0.627)	Data 0.001 (0.004)	Loss 1.8645 (2.0126)	Prec@1 53.000 (47.965)	Prec@5 82.500 (78.429)
Epoch: [54][8580/9018]	Time 0.592 (0.627)	Data 0.001 (0.004)	Loss 1.8806 (2.0126)	Prec@1 46.000 (47.964)	Prec@5 82.000 (78.430)
Epoch: [54][8590/9018]	Time 0.627 (0.627)	Data 0.001 (0.004)	Loss 1.9197 (2.0126)	Prec@1 47.000 (47.962)	Prec@5 82.500 (78.429)
Epoch: [54][8600/9018]	Time 0.610 (0.627)	Data 0.001 (0.004)	Loss 1.9452 (2.0126)	Prec@1 51.000 (47.962)	Prec@5 77.500 (78.429)
Epoch: [54][8610/9018]	Time 0.596 (0.627)	Data 0.001 (0.004)	Loss 2.0746 (2.0126)	Prec@1 47.500 (47.962)	Prec@5 78.000 (78.429)
Epoch: [54][8620/9018]	Time 0.611 (0.627)	Data 0.001 (0.004)	Loss 1.6121 (2.0126)	Prec@1 58.500 (47.963)	Prec@5 86.000 (78.430)
Epoch: [54][8630/9018]	Time 0.614 (0.627)	Data 0.001 (0.004)	Loss 1.7257 (2.0126)	Prec@1 49.500 (47.963)	Prec@5 82.000 (78.430)
Epoch: [54][8640/9018]	Time 0.632 (0.627)	Data 0.001 (0.004)	Loss 2.0805 (2.0125)	Prec@1 46.500 (47.962)	Prec@5 76.000 (78.431)
Epoch: [54][8650/9018]	Time 0.595 (0.627)	Data 0.001 (0.004)	Loss 1.9434 (2.0126)	Prec@1 48.000 (47.960)	Prec@5 79.500 (78.431)
Epoch: [54][8660/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 2.0060 (2.0127)	Prec@1 50.000 (47.961)	Prec@5 74.500 (78.427)
Epoch: [54][8670/9018]	Time 0.587 (0.627)	Data 0.001 (0.004)	Loss 1.9290 (2.0127)	Prec@1 44.000 (47.959)	Prec@5 78.500 (78.426)
Epoch: [54][8680/9018]	Time 0.621 (0.627)	Data 0.001 (0.004)	Loss 2.2264 (2.0127)	Prec@1 43.500 (47.958)	Prec@5 76.500 (78.427)
Epoch: [54][8690/9018]	Time 0.615 (0.627)	Data 0.014 (0.004)	Loss 2.1057 (2.0127)	Prec@1 43.500 (47.959)	Prec@5 77.000 (78.428)
Epoch: [54][8700/9018]	Time 0.599 (0.627)	Data 0.001 (0.004)	Loss 1.8445 (2.0127)	Prec@1 51.000 (47.957)	Prec@5 82.500 (78.428)
Epoch: [54][8710/9018]	Time 0.610 (0.627)	Data 0.014 (0.004)	Loss 2.0610 (2.0127)	Prec@1 48.000 (47.957)	Prec@5 78.000 (78.427)
Epoch: [54][8720/9018]	Time 0.612 (0.627)	Data 0.001 (0.004)	Loss 1.8641 (2.0128)	Prec@1 52.000 (47.956)	Prec@5 80.000 (78.426)
Epoch: [54][8730/9018]	Time 0.604 (0.627)	Data 0.001 (0.004)	Loss 2.0422 (2.0128)	Prec@1 44.000 (47.955)	Prec@5 80.500 (78.426)
Epoch: [54][8740/9018]	Time 0.640 (0.627)	Data 0.001 (0.004)	Loss 1.8555 (2.0128)	Prec@1 52.000 (47.955)	Prec@5 80.500 (78.426)
Epoch: [54][8750/9018]	Time 0.608 (0.627)	Data 0.001 (0.004)	Loss 2.1320 (2.0128)	Prec@1 47.000 (47.956)	Prec@5 76.500 (78.424)
Epoch: [54][8760/9018]	Time 0.634 (0.627)	Data 0.014 (0.004)	Loss 1.9303 (2.0129)	Prec@1 47.500 (47.955)	Prec@5 82.500 (78.423)
Epoch: [54][8770/9018]	Time 0.757 (0.627)	Data 0.001 (0.004)	Loss 2.0765 (2.0129)	Prec@1 46.500 (47.954)	Prec@5 73.500 (78.422)
Epoch: [54][8780/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 1.8782 (2.0129)	Prec@1 47.000 (47.953)	Prec@5 85.000 (78.423)
Epoch: [54][8790/9018]	Time 0.606 (0.627)	Data 0.008 (0.004)	Loss 2.0472 (2.0129)	Prec@1 48.000 (47.953)	Prec@5 76.500 (78.422)
Epoch: [54][8800/9018]	Time 0.605 (0.627)	Data 0.001 (0.004)	Loss 1.8140 (2.0129)	Prec@1 48.000 (47.951)	Prec@5 80.000 (78.421)
Epoch: [54][8810/9018]	Time 0.593 (0.627)	Data 0.001 (0.004)	Loss 2.2942 (2.0129)	Prec@1 42.000 (47.951)	Prec@5 72.000 (78.420)
Epoch: [54][8820/9018]	Time 0.744 (0.627)	Data 0.001 (0.004)	Loss 2.0984 (2.0130)	Prec@1 44.500 (47.951)	Prec@5 77.000 (78.419)
Epoch: [54][8830/9018]	Time 0.595 (0.627)	Data 0.001 (0.004)	Loss 1.9926 (2.0131)	Prec@1 50.500 (47.950)	Prec@5 77.000 (78.418)
Epoch: [54][8840/9018]	Time 0.629 (0.627)	Data 0.001 (0.004)	Loss 1.9881 (2.0131)	Prec@1 44.000 (47.947)	Prec@5 81.000 (78.418)
Epoch: [54][8850/9018]	Time 0.599 (0.627)	Data 0.001 (0.004)	Loss 1.8871 (2.0132)	Prec@1 51.000 (47.947)	Prec@5 80.000 (78.417)
Epoch: [54][8860/9018]	Time 0.626 (0.627)	Data 0.001 (0.004)	Loss 1.7746 (2.0131)	Prec@1 57.000 (47.949)	Prec@5 84.500 (78.418)
Epoch: [54][8870/9018]	Time 0.631 (0.627)	Data 0.001 (0.004)	Loss 1.8918 (2.0131)	Prec@1 50.000 (47.949)	Prec@5 80.000 (78.417)
Epoch: [54][8880/9018]	Time 0.605 (0.627)	Data 0.001 (0.004)	Loss 2.0522 (2.0132)	Prec@1 50.000 (47.950)	Prec@5 76.500 (78.418)
Epoch: [54][8890/9018]	Time 0.611 (0.627)	Data 0.001 (0.004)	Loss 2.1030 (2.0132)	Prec@1 47.500 (47.951)	Prec@5 75.500 (78.417)
Epoch: [54][8900/9018]	Time 0.598 (0.627)	Data 0.001 (0.004)	Loss 2.0965 (2.0132)	Prec@1 47.500 (47.948)	Prec@5 75.000 (78.414)
Epoch: [54][8910/9018]	Time 0.631 (0.627)	Data 0.016 (0.004)	Loss 2.1096 (2.0133)	Prec@1 45.500 (47.947)	Prec@5 78.500 (78.414)
Epoch: [54][8920/9018]	Time 0.665 (0.627)	Data 0.001 (0.004)	Loss 1.9328 (2.0133)	Prec@1 47.500 (47.945)	Prec@5 79.500 (78.414)
Epoch: [54][8930/9018]	Time 0.626 (0.627)	Data 0.015 (0.004)	Loss 1.9285 (2.0133)	Prec@1 44.500 (47.946)	Prec@5 83.000 (78.414)
Epoch: [54][8940/9018]	Time 0.622 (0.627)	Data 0.002 (0.004)	Loss 2.2172 (2.0134)	Prec@1 44.500 (47.943)	Prec@5 74.000 (78.413)
Epoch: [54][8950/9018]	Time 0.616 (0.627)	Data 0.015 (0.004)	Loss 1.9524 (2.0134)	Prec@1 51.500 (47.942)	Prec@5 76.500 (78.412)
Epoch: [54][8960/9018]	Time 0.636 (0.627)	Data 0.001 (0.004)	Loss 2.1395 (2.0134)	Prec@1 46.500 (47.943)	Prec@5 76.500 (78.412)
Epoch: [54][8970/9018]	Time 0.600 (0.627)	Data 0.001 (0.004)	Loss 2.0642 (2.0134)	Prec@1 44.000 (47.941)	Prec@5 80.000 (78.411)
Epoch: [54][8980/9018]	Time 0.593 (0.627)	Data 0.001 (0.004)	Loss 2.0217 (2.0134)	Prec@1 47.000 (47.941)	Prec@5 80.000 (78.410)
Epoch: [54][8990/9018]	Time 0.608 (0.627)	Data 0.001 (0.004)	Loss 2.0044 (2.0134)	Prec@1 46.500 (47.942)	Prec@5 76.000 (78.412)
Epoch: [54][9000/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 1.9206 (2.0134)	Prec@1 48.500 (47.941)	Prec@5 78.500 (78.411)
Epoch: [54][9010/9018]	Time 0.599 (0.627)	Data 0.000 (0.004)	Loss 1.7886 (2.0134)	Prec@1 56.000 (47.941)	Prec@5 84.000 (78.412)
Test: [0/183]	Time 2.195 (2.195)	Loss 2.5915 (2.5915)	Prec@1 34.500 (34.500)	Prec@5 64.000 (64.000)
Test: [10/183]	Time 0.229 (0.390)	Loss 1.9925 (1.6779)	Prec@1 50.500 (56.909)	Prec@5 79.000 (83.955)
Test: [20/183]	Time 0.193 (0.307)	Loss 1.9619 (1.6593)	Prec@1 48.000 (55.881)	Prec@5 82.000 (84.548)
Test: [30/183]	Time 0.215 (0.276)	Loss 2.4038 (1.7123)	Prec@1 28.000 (53.774)	Prec@5 78.000 (84.145)
Test: [40/183]	Time 0.232 (0.262)	Loss 2.1416 (1.7050)	Prec@1 39.000 (54.512)	Prec@5 80.500 (83.707)
Test: [50/183]	Time 0.273 (0.253)	Loss 1.5828 (1.6805)	Prec@1 49.500 (54.971)	Prec@5 88.000 (83.961)
Test: [60/183]	Time 0.186 (0.244)	Loss 2.1090 (1.7762)	Prec@1 46.000 (52.238)	Prec@5 80.500 (82.885)
Test: [70/183]	Time 0.208 (0.240)	Loss 1.5897 (1.7662)	Prec@1 60.000 (52.282)	Prec@5 89.000 (83.197)
Test: [80/183]	Time 0.199 (0.236)	Loss 1.4221 (1.7499)	Prec@1 58.500 (52.556)	Prec@5 92.000 (83.407)
Test: [90/183]	Time 0.223 (0.234)	Loss 2.4745 (1.7465)	Prec@1 33.500 (52.769)	Prec@5 74.000 (83.418)
Test: [100/183]	Time 0.348 (0.233)	Loss 0.9802 (1.7447)	Prec@1 69.000 (52.802)	Prec@5 93.500 (83.485)
Test: [110/183]	Time 0.208 (0.230)	Loss 0.6216 (1.7509)	Prec@1 88.000 (52.775)	Prec@5 97.500 (83.369)
Test: [120/183]	Time 0.215 (0.228)	Loss 2.3206 (1.7592)	Prec@1 39.500 (52.471)	Prec@5 70.000 (83.285)
Test: [130/183]	Time 0.224 (0.227)	Loss 2.9737 (1.7689)	Prec@1 19.500 (52.168)	Prec@5 69.500 (83.298)
Test: [140/183]	Time 0.189 (0.225)	Loss 1.5303 (1.7604)	Prec@1 63.000 (52.443)	Prec@5 85.500 (83.489)
Test: [150/183]	Time 0.192 (0.224)	Loss 0.6286 (1.7562)	Prec@1 84.000 (52.560)	Prec@5 98.500 (83.550)
Test: [160/183]	Time 0.212 (0.223)	Loss 1.8023 (1.7529)	Prec@1 49.000 (52.748)	Prec@5 82.000 (83.553)
Test: [170/183]	Time 0.199 (0.222)	Loss 2.5516 (1.7743)	Prec@1 26.000 (52.175)	Prec@5 73.500 (83.213)
Test: [180/183]	Time 0.185 (0.221)	Loss 1.9283 (1.7778)	Prec@1 48.500 (52.174)	Prec@5 82.000 (83.155)
 * Prec@1 52.197 Prec@5 83.129
Epoch: [55][0/9018]	Time 2.892 (2.892)	Data 2.297 (2.297)	Loss 2.0399 (2.0399)	Prec@1 45.000 (45.000)	Prec@5 81.500 (81.500)
Epoch: [55][10/9018]	Time 0.592 (0.825)	Data 0.001 (0.210)	Loss 2.2343 (2.0717)	Prec@1 44.000 (45.955)	Prec@5 75.500 (77.727)
Epoch: [55][20/9018]	Time 0.603 (0.731)	Data 0.001 (0.111)	Loss 1.8650 (2.0034)	Prec@1 49.500 (47.571)	Prec@5 84.500 (79.619)
Epoch: [55][30/9018]	Time 0.604 (0.693)	Data 0.001 (0.076)	Loss 2.1570 (1.9786)	Prec@1 41.000 (48.145)	Prec@5 80.000 (79.790)
Epoch: [55][40/9018]	Time 0.600 (0.678)	Data 0.001 (0.058)	Loss 2.1148 (1.9865)	Prec@1 43.500 (48.268)	Prec@5 75.000 (79.329)
Epoch: [55][50/9018]	Time 0.607 (0.669)	Data 0.001 (0.047)	Loss 1.8220 (1.9853)	Prec@1 50.000 (48.235)	Prec@5 82.500 (79.078)
Epoch: [55][60/9018]	Time 0.619 (0.661)	Data 0.023 (0.040)	Loss 2.0297 (1.9926)	Prec@1 49.000 (48.057)	Prec@5 75.500 (78.918)
Epoch: [55][70/9018]	Time 0.593 (0.657)	Data 0.001 (0.035)	Loss 1.8431 (1.9891)	Prec@1 49.500 (47.923)	Prec@5 78.500 (78.951)
Epoch: [55][80/9018]	Time 0.589 (0.652)	Data 0.001 (0.031)	Loss 1.9691 (1.9920)	Prec@1 52.000 (47.920)	Prec@5 77.000 (78.901)
Epoch: [55][90/9018]	Time 0.611 (0.650)	Data 0.001 (0.028)	Loss 2.0459 (1.9937)	Prec@1 46.500 (47.978)	Prec@5 76.500 (78.879)
Epoch: [55][100/9018]	Time 0.667 (0.648)	Data 0.001 (0.025)	Loss 1.9587 (1.9929)	Prec@1 47.000 (47.960)	Prec@5 79.500 (78.931)
Epoch: [55][110/9018]	Time 0.611 (0.646)	Data 0.001 (0.023)	Loss 2.1171 (1.9914)	Prec@1 47.000 (48.014)	Prec@5 74.000 (78.950)
Epoch: [55][120/9018]	Time 0.644 (0.644)	Data 0.017 (0.022)	Loss 2.1088 (1.9916)	Prec@1 45.500 (48.037)	Prec@5 75.500 (78.946)
Epoch: [55][130/9018]	Time 0.610 (0.641)	Data 0.001 (0.020)	Loss 2.2081 (1.9910)	Prec@1 42.500 (48.088)	Prec@5 74.000 (78.943)
Epoch: [55][140/9018]	Time 0.620 (0.640)	Data 0.001 (0.019)	Loss 1.9885 (1.9949)	Prec@1 45.500 (48.014)	Prec@5 79.000 (78.883)
Epoch: [55][150/9018]	Time 0.648 (0.640)	Data 0.001 (0.018)	Loss 1.8596 (1.9919)	Prec@1 49.000 (48.093)	Prec@5 82.000 (78.904)
Epoch: [55][160/9018]	Time 0.637 (0.639)	Data 0.001 (0.017)	Loss 2.0359 (1.9900)	Prec@1 47.500 (48.245)	Prec@5 79.000 (78.910)
Epoch: [55][170/9018]	Time 0.611 (0.637)	Data 0.001 (0.016)	Loss 1.8846 (1.9872)	Prec@1 51.500 (48.269)	Prec@5 81.000 (78.982)
Epoch: [55][180/9018]	Time 0.594 (0.636)	Data 0.001 (0.016)	Loss 2.0891 (1.9883)	Prec@1 48.000 (48.323)	Prec@5 74.500 (78.936)
Epoch: [55][190/9018]	Time 0.612 (0.636)	Data 0.001 (0.015)	Loss 1.8833 (1.9887)	Prec@1 50.000 (48.398)	Prec@5 82.500 (78.908)
Epoch: [55][200/9018]	Time 0.606 (0.636)	Data 0.001 (0.014)	Loss 2.0982 (1.9890)	Prec@1 47.000 (48.400)	Prec@5 78.000 (78.876)
Epoch: [55][210/9018]	Time 0.634 (0.635)	Data 0.015 (0.014)	Loss 2.0736 (1.9900)	Prec@1 44.000 (48.365)	Prec@5 79.000 (78.884)
Epoch: [55][220/9018]	Time 0.606 (0.635)	Data 0.001 (0.013)	Loss 1.9075 (1.9887)	Prec@1 47.000 (48.391)	Prec@5 82.000 (78.914)
Epoch: [55][230/9018]	Time 0.753 (0.635)	Data 0.001 (0.013)	Loss 2.1820 (1.9869)	Prec@1 40.000 (48.392)	Prec@5 76.000 (78.963)
Epoch: [55][240/9018]	Time 0.620 (0.634)	Data 0.001 (0.012)	Loss 1.9338 (1.9871)	Prec@1 50.500 (48.415)	Prec@5 76.500 (78.923)
Epoch: [55][250/9018]	Time 0.605 (0.634)	Data 0.001 (0.012)	Loss 2.0026 (1.9857)	Prec@1 50.500 (48.438)	Prec@5 79.500 (78.926)
Epoch: [55][260/9018]	Time 0.616 (0.633)	Data 0.001 (0.012)	Loss 1.8316 (1.9852)	Prec@1 51.000 (48.466)	Prec@5 81.000 (78.923)
Epoch: [55][270/9018]	Time 0.617 (0.633)	Data 0.001 (0.012)	Loss 2.0793 (1.9840)	Prec@1 48.000 (48.522)	Prec@5 78.000 (78.952)
Epoch: [55][280/9018]	Time 0.721 (0.633)	Data 0.001 (0.011)	Loss 1.9659 (1.9869)	Prec@1 49.000 (48.457)	Prec@5 78.500 (78.893)
Epoch: [55][290/9018]	Time 0.621 (0.633)	Data 0.001 (0.011)	Loss 1.8120 (1.9882)	Prec@1 52.500 (48.450)	Prec@5 80.500 (78.873)
Epoch: [55][300/9018]	Time 0.629 (0.633)	Data 0.001 (0.011)	Loss 1.7942 (1.9875)	Prec@1 57.000 (48.507)	Prec@5 79.000 (78.855)
Epoch: [55][310/9018]	Time 0.612 (0.632)	Data 0.001 (0.010)	Loss 2.1220 (1.9914)	Prec@1 42.500 (48.429)	Prec@5 78.000 (78.791)
Epoch: [55][320/9018]	Time 0.620 (0.632)	Data 0.006 (0.010)	Loss 1.9091 (1.9917)	Prec@1 48.500 (48.436)	Prec@5 81.500 (78.783)
Epoch: [55][330/9018]	Time 0.644 (0.632)	Data 0.001 (0.010)	Loss 2.0232 (1.9903)	Prec@1 49.500 (48.505)	Prec@5 79.000 (78.792)
Epoch: [55][340/9018]	Time 0.603 (0.632)	Data 0.001 (0.010)	Loss 1.8906 (1.9891)	Prec@1 53.000 (48.563)	Prec@5 82.000 (78.815)
Epoch: [55][350/9018]	Time 0.646 (0.632)	Data 0.005 (0.010)	Loss 2.1047 (1.9893)	Prec@1 43.500 (48.531)	Prec@5 78.500 (78.798)
Epoch: [55][360/9018]	Time 0.599 (0.631)	Data 0.001 (0.009)	Loss 1.7409 (1.9896)	Prec@1 54.000 (48.528)	Prec@5 81.500 (78.787)
Epoch: [55][370/9018]	Time 0.599 (0.631)	Data 0.001 (0.009)	Loss 2.0336 (1.9912)	Prec@1 42.000 (48.503)	Prec@5 80.500 (78.763)
Epoch: [55][380/9018]	Time 0.630 (0.631)	Data 0.001 (0.009)	Loss 1.9098 (1.9903)	Prec@1 50.000 (48.522)	Prec@5 83.000 (78.781)
Epoch: [55][390/9018]	Time 0.649 (0.631)	Data 0.001 (0.009)	Loss 1.9646 (1.9906)	Prec@1 47.000 (48.529)	Prec@5 79.000 (78.783)
Epoch: [55][400/9018]	Time 0.608 (0.631)	Data 0.001 (0.009)	Loss 2.2070 (1.9907)	Prec@1 50.000 (48.549)	Prec@5 73.500 (78.781)
Epoch: [55][410/9018]	Time 0.636 (0.630)	Data 0.001 (0.008)	Loss 2.0908 (1.9912)	Prec@1 46.500 (48.547)	Prec@5 73.500 (78.753)
Epoch: [55][420/9018]	Time 0.625 (0.630)	Data 0.017 (0.008)	Loss 2.1248 (1.9921)	Prec@1 49.000 (48.564)	Prec@5 74.500 (78.714)
Epoch: [55][430/9018]	Time 0.637 (0.631)	Data 0.001 (0.008)	Loss 2.0132 (1.9918)	Prec@1 47.500 (48.538)	Prec@5 77.000 (78.723)
Epoch: [55][440/9018]	Time 0.622 (0.630)	Data 0.014 (0.008)	Loss 1.9186 (1.9909)	Prec@1 50.000 (48.563)	Prec@5 79.000 (78.720)
Epoch: [55][450/9018]	Time 0.594 (0.630)	Data 0.001 (0.008)	Loss 1.9401 (1.9915)	Prec@1 54.000 (48.573)	Prec@5 78.500 (78.693)
Epoch: [55][460/9018]	Time 0.594 (0.630)	Data 0.001 (0.008)	Loss 2.1971 (1.9917)	Prec@1 47.000 (48.564)	Prec@5 75.000 (78.705)
Epoch: [55][470/9018]	Time 0.595 (0.630)	Data 0.001 (0.008)	Loss 2.1324 (1.9919)	Prec@1 43.500 (48.552)	Prec@5 74.000 (78.694)
Epoch: [55][480/9018]	Time 0.631 (0.630)	Data 0.011 (0.008)	Loss 2.0343 (1.9926)	Prec@1 46.000 (48.525)	Prec@5 77.000 (78.682)
Epoch: [55][490/9018]	Time 0.609 (0.629)	Data 0.001 (0.008)	Loss 1.8366 (1.9923)	Prec@1 55.500 (48.539)	Prec@5 81.000 (78.693)
Epoch: [55][500/9018]	Time 0.608 (0.630)	Data 0.001 (0.008)	Loss 1.9629 (1.9927)	Prec@1 47.000 (48.522)	Prec@5 77.000 (78.673)
Epoch: [55][510/9018]	Time 0.600 (0.629)	Data 0.001 (0.007)	Loss 2.0264 (1.9919)	Prec@1 49.000 (48.530)	Prec@5 78.000 (78.686)
Epoch: [55][520/9018]	Time 0.607 (0.629)	Data 0.001 (0.007)	Loss 2.1115 (1.9916)	Prec@1 44.000 (48.540)	Prec@5 76.000 (78.698)
Epoch: [55][530/9018]	Time 0.622 (0.629)	Data 0.016 (0.007)	Loss 1.9909 (1.9919)	Prec@1 49.500 (48.534)	Prec@5 81.000 (78.683)
Epoch: [55][540/9018]	Time 0.619 (0.629)	Data 0.014 (0.007)	Loss 2.0731 (1.9923)	Prec@1 42.000 (48.528)	Prec@5 81.000 (78.684)
Epoch: [55][550/9018]	Time 0.621 (0.629)	Data 0.001 (0.007)	Loss 1.8942 (1.9920)	Prec@1 49.000 (48.525)	Prec@5 79.000 (78.684)
Epoch: [55][560/9018]	Time 0.756 (0.629)	Data 0.001 (0.007)	Loss 2.0420 (1.9913)	Prec@1 46.000 (48.549)	Prec@5 77.000 (78.706)
Epoch: [55][570/9018]	Time 0.609 (0.628)	Data 0.001 (0.007)	Loss 1.8705 (1.9917)	Prec@1 53.000 (48.543)	Prec@5 84.000 (78.701)
Epoch: [55][580/9018]	Time 0.632 (0.628)	Data 0.012 (0.007)	Loss 1.8777 (1.9913)	Prec@1 52.500 (48.553)	Prec@5 77.500 (78.682)
Epoch: [55][590/9018]	Time 0.624 (0.628)	Data 0.001 (0.007)	Loss 1.9595 (1.9920)	Prec@1 50.500 (48.537)	Prec@5 81.000 (78.691)
Epoch: [55][600/9018]	Time 0.635 (0.628)	Data 0.016 (0.007)	Loss 1.9729 (1.9930)	Prec@1 43.500 (48.486)	Prec@5 78.000 (78.691)
Epoch: [55][610/9018]	Time 0.772 (0.628)	Data 0.001 (0.007)	Loss 1.9451 (1.9924)	Prec@1 49.000 (48.483)	Prec@5 78.000 (78.700)
Epoch: [55][620/9018]	Time 0.636 (0.628)	Data 0.001 (0.007)	Loss 2.2476 (1.9924)	Prec@1 43.000 (48.481)	Prec@5 74.500 (78.708)
Epoch: [55][630/9018]	Time 0.608 (0.628)	Data 0.001 (0.007)	Loss 1.9303 (1.9922)	Prec@1 45.000 (48.478)	Prec@5 81.500 (78.705)
Epoch: [55][640/9018]	Time 0.641 (0.628)	Data 0.001 (0.007)	Loss 2.1002 (1.9928)	Prec@1 47.500 (48.474)	Prec@5 75.500 (78.703)
Epoch: [55][650/9018]	Time 0.618 (0.628)	Data 0.001 (0.007)	Loss 2.2408 (1.9921)	Prec@1 46.500 (48.489)	Prec@5 73.500 (78.734)
Epoch: [55][660/9018]	Time 0.628 (0.628)	Data 0.016 (0.006)	Loss 2.0183 (1.9925)	Prec@1 49.500 (48.475)	Prec@5 77.000 (78.728)
Epoch: [55][670/9018]	Time 0.625 (0.628)	Data 0.001 (0.006)	Loss 2.0317 (1.9934)	Prec@1 45.500 (48.472)	Prec@5 80.500 (78.699)
Epoch: [55][680/9018]	Time 0.631 (0.628)	Data 0.014 (0.006)	Loss 1.9738 (1.9938)	Prec@1 50.000 (48.479)	Prec@5 76.500 (78.679)
Epoch: [55][690/9018]	Time 0.601 (0.628)	Data 0.014 (0.006)	Loss 1.9871 (1.9947)	Prec@1 51.000 (48.459)	Prec@5 78.500 (78.662)
Epoch: [55][700/9018]	Time 0.595 (0.628)	Data 0.001 (0.006)	Loss 2.0334 (1.9958)	Prec@1 49.000 (48.459)	Prec@5 76.500 (78.641)
Epoch: [55][710/9018]	Time 0.609 (0.628)	Data 0.001 (0.006)	Loss 1.8940 (1.9958)	Prec@1 50.000 (48.466)	Prec@5 83.000 (78.648)
Epoch: [55][720/9018]	Time 0.594 (0.628)	Data 0.004 (0.006)	Loss 1.9138 (1.9956)	Prec@1 47.500 (48.450)	Prec@5 81.500 (78.664)
Epoch: [55][730/9018]	Time 0.618 (0.628)	Data 0.001 (0.006)	Loss 1.9141 (1.9951)	Prec@1 54.500 (48.472)	Prec@5 80.500 (78.673)
Epoch: [55][740/9018]	Time 0.648 (0.628)	Data 0.009 (0.006)	Loss 1.8738 (1.9949)	Prec@1 53.500 (48.497)	Prec@5 77.500 (78.669)
Epoch: [55][750/9018]	Time 0.616 (0.628)	Data 0.001 (0.006)	Loss 1.6452 (1.9944)	Prec@1 53.500 (48.503)	Prec@5 85.000 (78.678)
Epoch: [55][760/9018]	Time 0.647 (0.628)	Data 0.001 (0.006)	Loss 1.9286 (1.9937)	Prec@1 52.500 (48.510)	Prec@5 81.500 (78.692)
Epoch: [55][770/9018]	Time 0.618 (0.628)	Data 0.001 (0.006)	Loss 2.0086 (1.9941)	Prec@1 48.000 (48.497)	Prec@5 79.000 (78.692)
Epoch: [55][780/9018]	Time 0.642 (0.628)	Data 0.001 (0.006)	Loss 1.8937 (1.9934)	Prec@1 49.000 (48.508)	Prec@5 81.000 (78.700)
Epoch: [55][790/9018]	Time 0.597 (0.627)	Data 0.001 (0.006)	Loss 1.7979 (1.9937)	Prec@1 55.500 (48.503)	Prec@5 78.500 (78.693)
Epoch: [55][800/9018]	Time 0.611 (0.627)	Data 0.001 (0.006)	Loss 1.9981 (1.9934)	Prec@1 53.500 (48.510)	Prec@5 79.500 (78.699)
Epoch: [55][810/9018]	Time 0.632 (0.627)	Data 0.001 (0.006)	Loss 1.9333 (1.9938)	Prec@1 49.000 (48.504)	Prec@5 78.000 (78.690)
Epoch: [55][820/9018]	Time 0.604 (0.627)	Data 0.001 (0.006)	Loss 1.8211 (1.9933)	Prec@1 51.500 (48.517)	Prec@5 80.000 (78.687)
Epoch: [55][830/9018]	Time 0.624 (0.627)	Data 0.001 (0.006)	Loss 1.7294 (1.9930)	Prec@1 51.500 (48.517)	Prec@5 82.000 (78.689)
Epoch: [55][840/9018]	Time 0.631 (0.627)	Data 0.028 (0.006)	Loss 1.8463 (1.9926)	Prec@1 51.500 (48.506)	Prec@5 81.000 (78.687)
Epoch: [55][850/9018]	Time 0.589 (0.627)	Data 0.001 (0.006)	Loss 1.8494 (1.9924)	Prec@1 54.500 (48.503)	Prec@5 82.500 (78.693)
Epoch: [55][860/9018]	Time 0.603 (0.627)	Data 0.001 (0.006)	Loss 1.9774 (1.9929)	Prec@1 53.000 (48.513)	Prec@5 79.500 (78.680)
Epoch: [55][870/9018]	Time 0.606 (0.627)	Data 0.001 (0.006)	Loss 2.0992 (1.9925)	Prec@1 46.000 (48.523)	Prec@5 75.000 (78.688)
Epoch: [55][880/9018]	Time 0.607 (0.627)	Data 0.001 (0.006)	Loss 2.0904 (1.9926)	Prec@1 47.500 (48.511)	Prec@5 75.500 (78.683)
Epoch: [55][890/9018]	Time 0.728 (0.627)	Data 0.001 (0.005)	Loss 2.0763 (1.9928)	Prec@1 47.500 (48.509)	Prec@5 80.000 (78.679)
Epoch: [55][900/9018]	Time 0.632 (0.627)	Data 0.001 (0.005)	Loss 1.9148 (1.9929)	Prec@1 50.500 (48.502)	Prec@5 78.500 (78.683)
Epoch: [55][910/9018]	Time 0.624 (0.627)	Data 0.008 (0.005)	Loss 1.9275 (1.9927)	Prec@1 47.500 (48.503)	Prec@5 81.500 (78.689)
Epoch: [55][920/9018]	Time 0.602 (0.627)	Data 0.001 (0.005)	Loss 2.0996 (1.9931)	Prec@1 43.000 (48.497)	Prec@5 77.500 (78.679)
Epoch: [55][930/9018]	Time 0.615 (0.627)	Data 0.001 (0.005)	Loss 2.1979 (1.9939)	Prec@1 45.500 (48.497)	Prec@5 74.500 (78.678)
Epoch: [55][940/9018]	Time 0.767 (0.627)	Data 0.001 (0.005)	Loss 1.9321 (1.9936)	Prec@1 51.000 (48.517)	Prec@5 80.000 (78.691)
Epoch: [55][950/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 2.0824 (1.9934)	Prec@1 47.000 (48.515)	Prec@5 79.000 (78.703)
Epoch: [55][960/9018]	Time 0.620 (0.627)	Data 0.015 (0.005)	Loss 2.0967 (1.9941)	Prec@1 45.000 (48.486)	Prec@5 77.000 (78.695)
Epoch: [55][970/9018]	Time 0.594 (0.627)	Data 0.001 (0.005)	Loss 2.0781 (1.9940)	Prec@1 49.000 (48.490)	Prec@5 75.500 (78.698)
Epoch: [55][980/9018]	Time 0.630 (0.627)	Data 0.001 (0.005)	Loss 1.9924 (1.9945)	Prec@1 50.000 (48.490)	Prec@5 77.000 (78.689)
Epoch: [55][990/9018]	Time 0.620 (0.627)	Data 0.001 (0.005)	Loss 2.0835 (1.9945)	Prec@1 47.000 (48.497)	Prec@5 79.000 (78.688)
Epoch: [55][1000/9018]	Time 0.604 (0.627)	Data 0.001 (0.005)	Loss 2.1837 (1.9939)	Prec@1 41.000 (48.509)	Prec@5 77.500 (78.698)
Epoch: [55][1010/9018]	Time 0.648 (0.627)	Data 0.001 (0.005)	Loss 2.2605 (1.9940)	Prec@1 47.500 (48.514)	Prec@5 73.000 (78.702)
Epoch: [55][1020/9018]	Time 0.612 (0.627)	Data 0.001 (0.005)	Loss 1.9683 (1.9942)	Prec@1 51.500 (48.512)	Prec@5 79.000 (78.709)
Epoch: [55][1030/9018]	Time 0.606 (0.627)	Data 0.001 (0.005)	Loss 2.0278 (1.9949)	Prec@1 47.000 (48.505)	Prec@5 79.000 (78.699)
Epoch: [55][1040/9018]	Time 0.638 (0.627)	Data 0.001 (0.005)	Loss 1.9902 (1.9952)	Prec@1 50.500 (48.502)	Prec@5 80.500 (78.702)
Epoch: [55][1050/9018]	Time 0.620 (0.627)	Data 0.001 (0.005)	Loss 1.7963 (1.9950)	Prec@1 53.500 (48.506)	Prec@5 81.000 (78.706)
Epoch: [55][1060/9018]	Time 0.624 (0.627)	Data 0.001 (0.005)	Loss 2.2168 (1.9951)	Prec@1 46.000 (48.506)	Prec@5 78.000 (78.717)
Epoch: [55][1070/9018]	Time 0.609 (0.626)	Data 0.005 (0.005)	Loss 1.8771 (1.9945)	Prec@1 45.000 (48.518)	Prec@5 82.500 (78.725)
Epoch: [55][1080/9018]	Time 0.596 (0.627)	Data 0.001 (0.005)	Loss 1.8814 (1.9941)	Prec@1 53.000 (48.537)	Prec@5 78.500 (78.724)
Epoch: [55][1090/9018]	Time 0.597 (0.627)	Data 0.001 (0.005)	Loss 2.1388 (1.9945)	Prec@1 45.000 (48.532)	Prec@5 77.500 (78.716)
Epoch: [55][1100/9018]	Time 0.643 (0.627)	Data 0.020 (0.005)	Loss 1.9054 (1.9939)	Prec@1 52.000 (48.539)	Prec@5 82.500 (78.727)
Epoch: [55][1110/9018]	Time 0.620 (0.627)	Data 0.001 (0.005)	Loss 2.0932 (1.9938)	Prec@1 44.000 (48.533)	Prec@5 77.000 (78.726)
Epoch: [55][1120/9018]	Time 0.606 (0.626)	Data 0.001 (0.005)	Loss 2.0768 (1.9935)	Prec@1 45.500 (48.540)	Prec@5 78.000 (78.734)
Epoch: [55][1130/9018]	Time 0.601 (0.626)	Data 0.001 (0.005)	Loss 1.9111 (1.9935)	Prec@1 48.000 (48.531)	Prec@5 82.000 (78.737)
Epoch: [55][1140/9018]	Time 0.612 (0.627)	Data 0.001 (0.005)	Loss 2.1100 (1.9937)	Prec@1 47.000 (48.530)	Prec@5 77.000 (78.728)
Epoch: [55][1150/9018]	Time 0.609 (0.626)	Data 0.001 (0.005)	Loss 1.8643 (1.9937)	Prec@1 49.500 (48.532)	Prec@5 81.500 (78.719)
Epoch: [55][1160/9018]	Time 0.610 (0.626)	Data 0.001 (0.005)	Loss 2.0682 (1.9939)	Prec@1 50.500 (48.531)	Prec@5 77.000 (78.712)
Epoch: [55][1170/9018]	Time 0.638 (0.626)	Data 0.008 (0.005)	Loss 2.0482 (1.9941)	Prec@1 46.500 (48.525)	Prec@5 79.000 (78.716)
Epoch: [55][1180/9018]	Time 0.633 (0.626)	Data 0.001 (0.005)	Loss 1.8271 (1.9936)	Prec@1 50.500 (48.534)	Prec@5 83.500 (78.727)
Epoch: [55][1190/9018]	Time 0.593 (0.626)	Data 0.001 (0.005)	Loss 1.6870 (1.9929)	Prec@1 54.500 (48.545)	Prec@5 85.000 (78.752)
Epoch: [55][1200/9018]	Time 0.594 (0.626)	Data 0.001 (0.005)	Loss 1.9692 (1.9928)	Prec@1 47.500 (48.548)	Prec@5 80.500 (78.754)
Epoch: [55][1210/9018]	Time 0.590 (0.626)	Data 0.001 (0.005)	Loss 1.9573 (1.9928)	Prec@1 46.000 (48.539)	Prec@5 80.000 (78.750)
Epoch: [55][1220/9018]	Time 0.754 (0.626)	Data 0.001 (0.005)	Loss 2.1224 (1.9933)	Prec@1 46.500 (48.524)	Prec@5 76.500 (78.738)
Epoch: [55][1230/9018]	Time 0.625 (0.626)	Data 0.016 (0.005)	Loss 2.1601 (1.9936)	Prec@1 43.000 (48.512)	Prec@5 75.000 (78.738)
Epoch: [55][1240/9018]	Time 0.604 (0.626)	Data 0.001 (0.005)	Loss 1.9990 (1.9931)	Prec@1 47.000 (48.524)	Prec@5 82.000 (78.748)
Epoch: [55][1250/9018]	Time 0.616 (0.626)	Data 0.006 (0.005)	Loss 2.0666 (1.9928)	Prec@1 45.500 (48.535)	Prec@5 75.500 (78.754)
Epoch: [55][1260/9018]	Time 0.596 (0.626)	Data 0.001 (0.005)	Loss 1.7940 (1.9931)	Prec@1 54.000 (48.531)	Prec@5 81.000 (78.754)
Epoch: [55][1270/9018]	Time 0.751 (0.626)	Data 0.015 (0.005)	Loss 1.9756 (1.9930)	Prec@1 49.500 (48.525)	Prec@5 78.000 (78.756)
Epoch: [55][1280/9018]	Time 0.617 (0.626)	Data 0.001 (0.005)	Loss 1.9787 (1.9933)	Prec@1 47.000 (48.526)	Prec@5 80.000 (78.748)
Epoch: [55][1290/9018]	Time 0.607 (0.626)	Data 0.001 (0.005)	Loss 2.1026 (1.9933)	Prec@1 47.500 (48.521)	Prec@5 75.000 (78.745)
Epoch: [55][1300/9018]	Time 0.602 (0.626)	Data 0.001 (0.005)	Loss 2.2567 (1.9936)	Prec@1 40.500 (48.511)	Prec@5 72.500 (78.741)
Epoch: [55][1310/9018]	Time 0.599 (0.626)	Data 0.001 (0.005)	Loss 2.1014 (1.9934)	Prec@1 44.000 (48.513)	Prec@5 79.500 (78.743)
Epoch: [55][1320/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.9710 (1.9933)	Prec@1 44.500 (48.512)	Prec@5 81.500 (78.746)
Epoch: [55][1330/9018]	Time 0.588 (0.626)	Data 0.001 (0.004)	Loss 1.8470 (1.9935)	Prec@1 55.000 (48.510)	Prec@5 81.500 (78.739)
Epoch: [55][1340/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 2.0623 (1.9937)	Prec@1 50.500 (48.504)	Prec@5 79.000 (78.738)
Epoch: [55][1350/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 2.3342 (1.9944)	Prec@1 36.000 (48.488)	Prec@5 74.500 (78.731)
Epoch: [55][1360/9018]	Time 0.631 (0.626)	Data 0.001 (0.004)	Loss 1.9035 (1.9936)	Prec@1 51.000 (48.508)	Prec@5 81.000 (78.742)
Epoch: [55][1370/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.9746 (1.9938)	Prec@1 48.500 (48.506)	Prec@5 78.500 (78.737)
Epoch: [55][1380/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.9568 (1.9943)	Prec@1 49.500 (48.487)	Prec@5 78.000 (78.734)
Epoch: [55][1390/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 2.1306 (1.9943)	Prec@1 45.000 (48.486)	Prec@5 75.000 (78.724)
Epoch: [55][1400/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 2.0092 (1.9949)	Prec@1 45.000 (48.476)	Prec@5 79.000 (78.709)
Epoch: [55][1410/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.9677 (1.9951)	Prec@1 45.000 (48.474)	Prec@5 78.500 (78.702)
Epoch: [55][1420/9018]	Time 0.636 (0.626)	Data 0.001 (0.004)	Loss 2.1334 (1.9950)	Prec@1 42.000 (48.486)	Prec@5 76.000 (78.697)
Epoch: [55][1430/9018]	Time 0.605 (0.626)	Data 0.016 (0.004)	Loss 1.8519 (1.9950)	Prec@1 50.000 (48.487)	Prec@5 83.500 (78.698)
Epoch: [55][1440/9018]	Time 0.596 (0.626)	Data 0.014 (0.004)	Loss 1.8796 (1.9949)	Prec@1 50.000 (48.491)	Prec@5 81.000 (78.690)
Epoch: [55][1450/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 2.1434 (1.9955)	Prec@1 44.500 (48.478)	Prec@5 77.000 (78.673)
Epoch: [55][1460/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 1.8060 (1.9952)	Prec@1 53.000 (48.489)	Prec@5 80.500 (78.681)
Epoch: [55][1470/9018]	Time 0.619 (0.626)	Data 0.003 (0.004)	Loss 1.8742 (1.9958)	Prec@1 49.500 (48.481)	Prec@5 82.000 (78.671)
Epoch: [55][1480/9018]	Time 0.643 (0.626)	Data 0.001 (0.004)	Loss 1.9070 (1.9956)	Prec@1 49.000 (48.483)	Prec@5 80.500 (78.676)
Epoch: [55][1490/9018]	Time 0.615 (0.626)	Data 0.005 (0.004)	Loss 1.7998 (1.9956)	Prec@1 48.000 (48.480)	Prec@5 84.000 (78.674)
Epoch: [55][1500/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 1.8453 (1.9958)	Prec@1 52.000 (48.479)	Prec@5 80.500 (78.674)
Epoch: [55][1510/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.9076 (1.9957)	Prec@1 50.500 (48.483)	Prec@5 81.000 (78.675)
Epoch: [55][1520/9018]	Time 0.634 (0.626)	Data 0.006 (0.004)	Loss 2.1801 (1.9963)	Prec@1 47.500 (48.465)	Prec@5 72.000 (78.660)
Epoch: [55][1530/9018]	Time 0.613 (0.626)	Data 0.014 (0.004)	Loss 1.8596 (1.9963)	Prec@1 56.000 (48.463)	Prec@5 78.500 (78.657)
Epoch: [55][1540/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 2.0773 (1.9962)	Prec@1 45.500 (48.469)	Prec@5 73.500 (78.658)
Epoch: [55][1550/9018]	Time 0.763 (0.626)	Data 0.001 (0.004)	Loss 2.1917 (1.9963)	Prec@1 47.000 (48.466)	Prec@5 74.000 (78.655)
Epoch: [55][1560/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 2.0261 (1.9962)	Prec@1 49.000 (48.466)	Prec@5 81.000 (78.659)
Epoch: [55][1570/9018]	Time 0.639 (0.626)	Data 0.001 (0.004)	Loss 1.8336 (1.9958)	Prec@1 50.000 (48.475)	Prec@5 81.000 (78.671)
Epoch: [55][1580/9018]	Time 0.590 (0.626)	Data 0.001 (0.004)	Loss 2.3660 (1.9966)	Prec@1 36.000 (48.450)	Prec@5 76.500 (78.659)
Epoch: [55][1590/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 2.0528 (1.9965)	Prec@1 43.500 (48.451)	Prec@5 75.500 (78.660)
Epoch: [55][1600/9018]	Time 0.727 (0.626)	Data 0.001 (0.004)	Loss 1.9105 (1.9964)	Prec@1 50.500 (48.455)	Prec@5 80.500 (78.654)
Epoch: [55][1610/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.9938 (1.9963)	Prec@1 52.000 (48.457)	Prec@5 78.500 (78.655)
Epoch: [55][1620/9018]	Time 0.596 (0.626)	Data 0.001 (0.004)	Loss 2.1383 (1.9967)	Prec@1 45.500 (48.447)	Prec@5 75.000 (78.644)
Epoch: [55][1630/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.9628 (1.9972)	Prec@1 56.500 (48.438)	Prec@5 79.500 (78.635)
Epoch: [55][1640/9018]	Time 0.597 (0.626)	Data 0.001 (0.004)	Loss 1.8993 (1.9968)	Prec@1 50.000 (48.441)	Prec@5 81.000 (78.647)
Epoch: [55][1650/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 2.2144 (1.9967)	Prec@1 45.500 (48.449)	Prec@5 75.000 (78.651)
Epoch: [55][1660/9018]	Time 0.606 (0.626)	Data 0.001 (0.004)	Loss 2.0096 (1.9968)	Prec@1 47.000 (48.446)	Prec@5 79.000 (78.652)
Epoch: [55][1670/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 2.0944 (1.9969)	Prec@1 45.500 (48.441)	Prec@5 76.000 (78.650)
Epoch: [55][1680/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.7195 (1.9966)	Prec@1 55.500 (48.441)	Prec@5 84.000 (78.652)
Epoch: [55][1690/9018]	Time 0.645 (0.626)	Data 0.001 (0.004)	Loss 1.9886 (1.9963)	Prec@1 47.000 (48.450)	Prec@5 77.500 (78.663)
Epoch: [55][1700/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.9946 (1.9962)	Prec@1 42.500 (48.451)	Prec@5 80.500 (78.666)
Epoch: [55][1710/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 2.1655 (1.9960)	Prec@1 48.000 (48.453)	Prec@5 71.500 (78.669)
Epoch: [55][1720/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 2.0770 (1.9963)	Prec@1 42.000 (48.444)	Prec@5 79.000 (78.669)
Epoch: [55][1730/9018]	Time 0.606 (0.626)	Data 0.001 (0.004)	Loss 1.9375 (1.9965)	Prec@1 50.000 (48.449)	Prec@5 78.000 (78.662)
Epoch: [55][1740/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 1.8938 (1.9963)	Prec@1 52.500 (48.450)	Prec@5 79.500 (78.667)
Epoch: [55][1750/9018]	Time 0.623 (0.626)	Data 0.001 (0.004)	Loss 1.7578 (1.9964)	Prec@1 54.000 (48.447)	Prec@5 81.500 (78.664)
Epoch: [55][1760/9018]	Time 0.597 (0.626)	Data 0.001 (0.004)	Loss 2.1565 (1.9964)	Prec@1 44.000 (48.445)	Prec@5 74.000 (78.662)
Epoch: [55][1770/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 2.0964 (1.9965)	Prec@1 47.500 (48.445)	Prec@5 78.000 (78.652)
Epoch: [55][1780/9018]	Time 0.601 (0.626)	Data 0.015 (0.004)	Loss 1.9162 (1.9964)	Prec@1 48.500 (48.443)	Prec@5 84.000 (78.649)
Epoch: [55][1790/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 2.2496 (1.9966)	Prec@1 44.500 (48.441)	Prec@5 75.500 (78.646)
Epoch: [55][1800/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 2.0162 (1.9968)	Prec@1 46.500 (48.430)	Prec@5 78.000 (78.640)
Epoch: [55][1810/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 2.3627 (1.9969)	Prec@1 43.000 (48.422)	Prec@5 77.500 (78.645)
Epoch: [55][1820/9018]	Time 0.648 (0.626)	Data 0.001 (0.004)	Loss 2.1258 (1.9965)	Prec@1 50.000 (48.433)	Prec@5 75.000 (78.652)
Epoch: [55][1830/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.9647 (1.9966)	Prec@1 51.000 (48.431)	Prec@5 78.000 (78.650)
Epoch: [55][1840/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.8234 (1.9969)	Prec@1 52.000 (48.422)	Prec@5 84.500 (78.644)
Epoch: [55][1850/9018]	Time 0.665 (0.626)	Data 0.006 (0.004)	Loss 2.1172 (1.9972)	Prec@1 45.500 (48.416)	Prec@5 75.500 (78.642)
Epoch: [55][1860/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 2.1199 (1.9979)	Prec@1 48.500 (48.407)	Prec@5 76.500 (78.632)
Epoch: [55][1870/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.7778 (1.9983)	Prec@1 55.000 (48.400)	Prec@5 83.000 (78.625)
Epoch: [55][1880/9018]	Time 0.768 (0.626)	Data 0.001 (0.004)	Loss 1.9988 (1.9985)	Prec@1 50.000 (48.402)	Prec@5 80.000 (78.623)
Epoch: [55][1890/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 1.9411 (1.9984)	Prec@1 51.000 (48.406)	Prec@5 81.000 (78.625)
Epoch: [55][1900/9018]	Time 0.598 (0.626)	Data 0.013 (0.004)	Loss 2.0149 (1.9983)	Prec@1 43.500 (48.406)	Prec@5 77.000 (78.625)
Epoch: [55][1910/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 2.0553 (1.9984)	Prec@1 46.500 (48.404)	Prec@5 78.500 (78.626)
Epoch: [55][1920/9018]	Time 0.632 (0.626)	Data 0.001 (0.004)	Loss 2.1115 (1.9984)	Prec@1 47.000 (48.407)	Prec@5 76.500 (78.629)
Epoch: [55][1930/9018]	Time 0.763 (0.626)	Data 0.011 (0.004)	Loss 1.9650 (1.9988)	Prec@1 49.000 (48.401)	Prec@5 79.000 (78.623)
Epoch: [55][1940/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.8718 (1.9983)	Prec@1 54.000 (48.414)	Prec@5 83.000 (78.632)
Epoch: [55][1950/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.8688 (1.9986)	Prec@1 53.000 (48.408)	Prec@5 81.500 (78.628)
Epoch: [55][1960/9018]	Time 0.621 (0.626)	Data 0.015 (0.004)	Loss 1.9377 (1.9988)	Prec@1 52.500 (48.413)	Prec@5 76.000 (78.625)
Epoch: [55][1970/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.9386 (1.9987)	Prec@1 51.500 (48.417)	Prec@5 81.500 (78.626)
Epoch: [55][1980/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 1.9731 (1.9985)	Prec@1 47.500 (48.420)	Prec@5 80.000 (78.632)
Epoch: [55][1990/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.8094 (1.9984)	Prec@1 56.000 (48.426)	Prec@5 81.500 (78.635)
Epoch: [55][2000/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 2.0301 (1.9986)	Prec@1 45.000 (48.422)	Prec@5 79.500 (78.630)
Epoch: [55][2010/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 1.8840 (1.9986)	Prec@1 51.500 (48.425)	Prec@5 80.500 (78.623)
Epoch: [55][2020/9018]	Time 0.644 (0.626)	Data 0.001 (0.004)	Loss 2.1299 (1.9990)	Prec@1 46.000 (48.418)	Prec@5 78.500 (78.618)
Epoch: [55][2030/9018]	Time 0.587 (0.626)	Data 0.001 (0.004)	Loss 2.0521 (1.9988)	Prec@1 47.500 (48.414)	Prec@5 78.500 (78.627)
Epoch: [55][2040/9018]	Time 0.600 (0.626)	Data 0.014 (0.004)	Loss 2.1257 (1.9987)	Prec@1 49.500 (48.418)	Prec@5 74.500 (78.623)
Epoch: [55][2050/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.9990 (1.9987)	Prec@1 47.500 (48.416)	Prec@5 81.000 (78.626)
Epoch: [55][2060/9018]	Time 0.650 (0.626)	Data 0.001 (0.004)	Loss 1.9366 (1.9990)	Prec@1 54.000 (48.419)	Prec@5 78.500 (78.624)
Epoch: [55][2070/9018]	Time 0.615 (0.626)	Data 0.017 (0.004)	Loss 1.8640 (1.9989)	Prec@1 54.000 (48.423)	Prec@5 82.500 (78.628)
Epoch: [55][2080/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.7774 (1.9988)	Prec@1 52.500 (48.428)	Prec@5 84.500 (78.634)
Epoch: [55][2090/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.9398 (1.9988)	Prec@1 52.000 (48.421)	Prec@5 79.000 (78.638)
Epoch: [55][2100/9018]	Time 0.608 (0.626)	Data 0.015 (0.004)	Loss 1.9893 (1.9989)	Prec@1 53.000 (48.419)	Prec@5 77.000 (78.635)
Epoch: [55][2110/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.8266 (1.9987)	Prec@1 52.000 (48.429)	Prec@5 86.000 (78.644)
Epoch: [55][2120/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.9928 (1.9985)	Prec@1 45.000 (48.430)	Prec@5 78.500 (78.646)
Epoch: [55][2130/9018]	Time 0.665 (0.626)	Data 0.001 (0.004)	Loss 1.8300 (1.9985)	Prec@1 52.000 (48.426)	Prec@5 82.500 (78.644)
Epoch: [55][2140/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 2.1698 (1.9984)	Prec@1 42.000 (48.419)	Prec@5 74.000 (78.642)
Epoch: [55][2150/9018]	Time 0.637 (0.626)	Data 0.017 (0.004)	Loss 1.9646 (1.9984)	Prec@1 50.000 (48.422)	Prec@5 81.000 (78.642)
Epoch: [55][2160/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 2.0147 (1.9983)	Prec@1 50.000 (48.423)	Prec@5 76.500 (78.643)
Epoch: [55][2170/9018]	Time 0.618 (0.626)	Data 0.014 (0.004)	Loss 2.2222 (1.9984)	Prec@1 42.000 (48.422)	Prec@5 76.500 (78.639)
Epoch: [55][2180/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.9111 (1.9983)	Prec@1 50.500 (48.420)	Prec@5 82.500 (78.646)
Epoch: [55][2190/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.8278 (1.9982)	Prec@1 48.000 (48.422)	Prec@5 82.500 (78.648)
Epoch: [55][2200/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 2.0440 (1.9984)	Prec@1 49.500 (48.422)	Prec@5 76.500 (78.645)
Epoch: [55][2210/9018]	Time 0.731 (0.626)	Data 0.001 (0.004)	Loss 2.0618 (1.9986)	Prec@1 47.500 (48.422)	Prec@5 77.500 (78.642)
Epoch: [55][2220/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.7483 (1.9983)	Prec@1 56.500 (48.425)	Prec@5 83.500 (78.651)
Epoch: [55][2230/9018]	Time 0.646 (0.626)	Data 0.001 (0.004)	Loss 1.9673 (1.9986)	Prec@1 47.500 (48.413)	Prec@5 77.500 (78.645)
Epoch: [55][2240/9018]	Time 0.609 (0.626)	Data 0.003 (0.004)	Loss 1.8833 (1.9987)	Prec@1 50.000 (48.408)	Prec@5 84.000 (78.646)
Epoch: [55][2250/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.9598 (1.9988)	Prec@1 51.500 (48.407)	Prec@5 81.000 (78.647)
Epoch: [55][2260/9018]	Time 0.747 (0.626)	Data 0.001 (0.004)	Loss 1.9276 (1.9986)	Prec@1 51.000 (48.406)	Prec@5 81.500 (78.650)
Epoch: [55][2270/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.9203 (1.9988)	Prec@1 53.000 (48.403)	Prec@5 82.000 (78.650)
Epoch: [55][2280/9018]	Time 0.638 (0.625)	Data 0.020 (0.004)	Loss 2.0514 (1.9990)	Prec@1 49.500 (48.402)	Prec@5 77.000 (78.644)
Epoch: [55][2290/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.9786 (1.9990)	Prec@1 50.500 (48.398)	Prec@5 78.500 (78.643)
Epoch: [55][2300/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 2.3063 (1.9992)	Prec@1 42.000 (48.401)	Prec@5 72.000 (78.635)
Epoch: [55][2310/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 2.0834 (1.9996)	Prec@1 44.500 (48.390)	Prec@5 76.500 (78.628)
Epoch: [55][2320/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.9327 (1.9996)	Prec@1 51.000 (48.390)	Prec@5 79.500 (78.629)
Epoch: [55][2330/9018]	Time 0.604 (0.625)	Data 0.004 (0.004)	Loss 1.8834 (1.9993)	Prec@1 49.500 (48.393)	Prec@5 83.500 (78.634)
Epoch: [55][2340/9018]	Time 0.618 (0.625)	Data 0.014 (0.004)	Loss 1.9680 (1.9996)	Prec@1 46.000 (48.386)	Prec@5 82.000 (78.633)
Epoch: [55][2350/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 2.0299 (1.9998)	Prec@1 47.500 (48.386)	Prec@5 79.500 (78.631)
Epoch: [55][2360/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 2.0008 (1.9996)	Prec@1 49.000 (48.391)	Prec@5 80.500 (78.635)
Epoch: [55][2370/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.8534 (1.9993)	Prec@1 52.000 (48.395)	Prec@5 81.000 (78.637)
Epoch: [55][2380/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 2.0663 (1.9995)	Prec@1 46.500 (48.390)	Prec@5 78.000 (78.633)
Epoch: [55][2390/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.9391 (1.9994)	Prec@1 49.500 (48.392)	Prec@5 79.000 (78.636)
Epoch: [55][2400/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 2.1799 (1.9994)	Prec@1 41.500 (48.388)	Prec@5 80.000 (78.635)
Epoch: [55][2410/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.9604 (1.9996)	Prec@1 46.000 (48.384)	Prec@5 79.500 (78.630)
Epoch: [55][2420/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 2.0698 (1.9996)	Prec@1 48.500 (48.383)	Prec@5 75.000 (78.631)
Epoch: [55][2430/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 2.1836 (1.9996)	Prec@1 46.500 (48.382)	Prec@5 73.000 (78.632)
Epoch: [55][2440/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 2.1099 (1.9995)	Prec@1 50.000 (48.384)	Prec@5 74.000 (78.636)
Epoch: [55][2450/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.9943 (1.9998)	Prec@1 46.500 (48.382)	Prec@5 79.000 (78.629)
Epoch: [55][2460/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.8374 (1.9999)	Prec@1 47.500 (48.381)	Prec@5 81.000 (78.628)
Epoch: [55][2470/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.9181 (1.9998)	Prec@1 54.500 (48.386)	Prec@5 79.500 (78.627)
Epoch: [55][2480/9018]	Time 0.611 (0.625)	Data 0.010 (0.004)	Loss 1.9164 (1.9999)	Prec@1 50.500 (48.382)	Prec@5 79.500 (78.626)
Epoch: [55][2490/9018]	Time 0.605 (0.625)	Data 0.010 (0.004)	Loss 1.8490 (1.9998)	Prec@1 48.500 (48.378)	Prec@5 80.000 (78.626)
Epoch: [55][2500/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 2.0454 (1.9998)	Prec@1 45.000 (48.378)	Prec@5 79.500 (78.624)
Epoch: [55][2510/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7285 (1.9997)	Prec@1 56.500 (48.377)	Prec@5 83.500 (78.629)
Epoch: [55][2520/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.8744 (1.9998)	Prec@1 51.500 (48.384)	Prec@5 79.500 (78.628)
Epoch: [55][2530/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.9593 (2.0001)	Prec@1 50.000 (48.378)	Prec@5 78.500 (78.620)
Epoch: [55][2540/9018]	Time 0.766 (0.625)	Data 0.001 (0.004)	Loss 1.9994 (1.9999)	Prec@1 51.000 (48.383)	Prec@5 79.000 (78.623)
Epoch: [55][2550/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.8278 (1.9998)	Prec@1 51.500 (48.381)	Prec@5 78.500 (78.624)
Epoch: [55][2560/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.9196 (1.9998)	Prec@1 48.000 (48.383)	Prec@5 81.000 (78.627)
Epoch: [55][2570/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.9670 (1.9998)	Prec@1 47.000 (48.379)	Prec@5 77.500 (78.627)
Epoch: [55][2580/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 2.1612 (2.0000)	Prec@1 46.000 (48.371)	Prec@5 78.000 (78.627)
Epoch: [55][2590/9018]	Time 0.710 (0.625)	Data 0.001 (0.004)	Loss 1.8560 (2.0000)	Prec@1 48.500 (48.371)	Prec@5 78.000 (78.625)
Epoch: [55][2600/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.8959 (1.9999)	Prec@1 49.000 (48.367)	Prec@5 80.000 (78.628)
Epoch: [55][2610/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 2.0811 (2.0002)	Prec@1 46.500 (48.363)	Prec@5 77.500 (78.628)
Epoch: [55][2620/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 2.0820 (2.0001)	Prec@1 47.000 (48.369)	Prec@5 76.000 (78.628)
Epoch: [55][2630/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 2.1913 (2.0002)	Prec@1 42.000 (48.362)	Prec@5 74.500 (78.626)
Epoch: [55][2640/9018]	Time 0.644 (0.625)	Data 0.001 (0.004)	Loss 1.9311 (1.9999)	Prec@1 50.000 (48.366)	Prec@5 81.000 (78.631)
Epoch: [55][2650/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 2.1293 (2.0001)	Prec@1 47.000 (48.360)	Prec@5 78.000 (78.625)
Epoch: [55][2660/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 2.2667 (2.0001)	Prec@1 46.000 (48.363)	Prec@5 71.500 (78.622)
Epoch: [55][2670/9018]	Time 0.627 (0.625)	Data 0.007 (0.004)	Loss 1.7876 (1.9999)	Prec@1 49.000 (48.364)	Prec@5 84.000 (78.628)
Epoch: [55][2680/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 2.1097 (2.0000)	Prec@1 45.500 (48.368)	Prec@5 81.000 (78.626)
Epoch: [55][2690/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 2.1208 (1.9999)	Prec@1 46.500 (48.367)	Prec@5 76.000 (78.629)
Epoch: [55][2700/9018]	Time 0.635 (0.625)	Data 0.027 (0.004)	Loss 1.9785 (2.0001)	Prec@1 47.500 (48.361)	Prec@5 81.500 (78.627)
Epoch: [55][2710/9018]	Time 0.624 (0.625)	Data 0.011 (0.004)	Loss 1.9816 (2.0001)	Prec@1 48.000 (48.361)	Prec@5 77.500 (78.627)
Epoch: [55][2720/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.8147 (1.9998)	Prec@1 55.000 (48.369)	Prec@5 83.500 (78.628)
Epoch: [55][2730/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 2.1069 (1.9999)	Prec@1 44.500 (48.362)	Prec@5 75.500 (78.623)
Epoch: [55][2740/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8579 (1.9999)	Prec@1 53.500 (48.364)	Prec@5 78.000 (78.624)
Epoch: [55][2750/9018]	Time 0.668 (0.625)	Data 0.001 (0.004)	Loss 1.9125 (2.0000)	Prec@1 51.500 (48.365)	Prec@5 80.500 (78.621)
Epoch: [55][2760/9018]	Time 0.632 (0.625)	Data 0.004 (0.004)	Loss 1.8616 (2.0000)	Prec@1 54.500 (48.367)	Prec@5 81.000 (78.622)
Epoch: [55][2770/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 2.0669 (2.0000)	Prec@1 43.000 (48.363)	Prec@5 75.000 (78.621)
Epoch: [55][2780/9018]	Time 0.607 (0.625)	Data 0.006 (0.004)	Loss 1.9068 (2.0000)	Prec@1 49.000 (48.366)	Prec@5 83.000 (78.619)
Epoch: [55][2790/9018]	Time 0.601 (0.625)	Data 0.003 (0.004)	Loss 1.8864 (2.0000)	Prec@1 56.000 (48.368)	Prec@5 82.500 (78.621)
Epoch: [55][2800/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.8748 (2.0000)	Prec@1 48.500 (48.361)	Prec@5 80.000 (78.620)
Epoch: [55][2810/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 2.0711 (2.0001)	Prec@1 47.000 (48.361)	Prec@5 79.000 (78.622)
Epoch: [55][2820/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 2.0051 (2.0001)	Prec@1 47.500 (48.363)	Prec@5 77.500 (78.622)
Epoch: [55][2830/9018]	Time 0.608 (0.625)	Data 0.017 (0.004)	Loss 1.7579 (2.0000)	Prec@1 54.500 (48.362)	Prec@5 84.500 (78.628)
Epoch: [55][2840/9018]	Time 0.641 (0.625)	Data 0.001 (0.004)	Loss 1.7481 (1.9998)	Prec@1 56.000 (48.364)	Prec@5 82.000 (78.632)
Epoch: [55][2850/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.9478 (1.9998)	Prec@1 47.500 (48.361)	Prec@5 82.000 (78.633)
Epoch: [55][2860/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.8745 (1.9997)	Prec@1 51.000 (48.362)	Prec@5 82.500 (78.637)
Epoch: [55][2870/9018]	Time 0.754 (0.625)	Data 0.001 (0.004)	Loss 1.9399 (1.9996)	Prec@1 49.500 (48.360)	Prec@5 76.000 (78.641)
Epoch: [55][2880/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.9668 (1.9997)	Prec@1 51.000 (48.358)	Prec@5 79.000 (78.637)
Epoch: [55][2890/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.8963 (1.9995)	Prec@1 53.000 (48.362)	Prec@5 77.500 (78.639)
Epoch: [55][2900/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 2.2427 (1.9997)	Prec@1 46.500 (48.359)	Prec@5 70.000 (78.630)
Epoch: [55][2910/9018]	Time 0.623 (0.625)	Data 0.013 (0.004)	Loss 2.1142 (1.9999)	Prec@1 44.500 (48.358)	Prec@5 80.000 (78.625)
Epoch: [55][2920/9018]	Time 0.748 (0.625)	Data 0.001 (0.004)	Loss 2.1057 (2.0002)	Prec@1 46.000 (48.353)	Prec@5 76.000 (78.620)
Epoch: [55][2930/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 2.0426 (2.0002)	Prec@1 51.500 (48.352)	Prec@5 82.000 (78.624)
Epoch: [55][2940/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.8608 (2.0004)	Prec@1 49.000 (48.348)	Prec@5 80.500 (78.619)
Epoch: [55][2950/9018]	Time 0.620 (0.625)	Data 0.017 (0.004)	Loss 2.1786 (2.0004)	Prec@1 46.000 (48.351)	Prec@5 76.500 (78.620)
Epoch: [55][2960/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 2.1065 (2.0002)	Prec@1 48.500 (48.354)	Prec@5 75.500 (78.622)
Epoch: [55][2970/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 2.0749 (2.0003)	Prec@1 46.500 (48.353)	Prec@5 76.000 (78.623)
Epoch: [55][2980/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.9417 (2.0005)	Prec@1 44.500 (48.348)	Prec@5 78.000 (78.620)
Epoch: [55][2990/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.9827 (2.0006)	Prec@1 49.000 (48.346)	Prec@5 79.000 (78.620)
Epoch: [55][3000/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.8694 (2.0007)	Prec@1 49.500 (48.345)	Prec@5 81.000 (78.616)
Epoch: [55][3010/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.9122 (2.0006)	Prec@1 50.000 (48.348)	Prec@5 80.000 (78.615)
Epoch: [55][3020/9018]	Time 0.620 (0.625)	Data 0.005 (0.004)	Loss 1.8444 (2.0005)	Prec@1 52.500 (48.357)	Prec@5 79.500 (78.616)
Epoch: [55][3030/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.8208 (2.0004)	Prec@1 52.500 (48.359)	Prec@5 79.500 (78.618)
Epoch: [55][3040/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 2.0181 (2.0003)	Prec@1 48.500 (48.359)	Prec@5 81.000 (78.619)
Epoch: [55][3050/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0219 (2.0003)	Prec@1 50.000 (48.363)	Prec@5 77.000 (78.620)
Epoch: [55][3060/9018]	Time 0.610 (0.625)	Data 0.019 (0.003)	Loss 1.9299 (2.0002)	Prec@1 47.000 (48.359)	Prec@5 78.000 (78.621)
Epoch: [55][3070/9018]	Time 0.645 (0.625)	Data 0.001 (0.003)	Loss 2.1406 (2.0004)	Prec@1 46.500 (48.351)	Prec@5 79.000 (78.620)
Epoch: [55][3080/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.8680 (2.0006)	Prec@1 49.500 (48.345)	Prec@5 80.000 (78.615)
Epoch: [55][3090/9018]	Time 0.611 (0.625)	Data 0.005 (0.003)	Loss 2.1154 (2.0006)	Prec@1 46.000 (48.346)	Prec@5 77.000 (78.611)
Epoch: [55][3100/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 2.0165 (2.0006)	Prec@1 51.500 (48.346)	Prec@5 78.500 (78.609)
Epoch: [55][3110/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.9302 (2.0005)	Prec@1 52.000 (48.343)	Prec@5 82.000 (78.613)
Epoch: [55][3120/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.9668 (2.0005)	Prec@1 52.000 (48.341)	Prec@5 78.000 (78.614)
Epoch: [55][3130/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 2.0253 (2.0004)	Prec@1 46.000 (48.341)	Prec@5 76.500 (78.617)
Epoch: [55][3140/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.7415 (2.0003)	Prec@1 56.500 (48.340)	Prec@5 82.000 (78.621)
Epoch: [55][3150/9018]	Time 0.611 (0.625)	Data 0.013 (0.003)	Loss 1.9806 (2.0003)	Prec@1 47.000 (48.340)	Prec@5 77.000 (78.618)
Epoch: [55][3160/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.0729 (2.0005)	Prec@1 41.000 (48.337)	Prec@5 82.000 (78.617)
Epoch: [55][3170/9018]	Time 0.643 (0.625)	Data 0.001 (0.003)	Loss 2.0452 (2.0006)	Prec@1 47.500 (48.335)	Prec@5 76.000 (78.614)
Epoch: [55][3180/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.8730 (2.0008)	Prec@1 53.000 (48.325)	Prec@5 83.000 (78.611)
Epoch: [55][3190/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.9372 (2.0006)	Prec@1 47.500 (48.331)	Prec@5 82.500 (78.613)
Epoch: [55][3200/9018]	Time 0.719 (0.625)	Data 0.001 (0.003)	Loss 2.1594 (2.0005)	Prec@1 45.000 (48.332)	Prec@5 77.000 (78.616)
Epoch: [55][3210/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 2.0208 (2.0004)	Prec@1 45.000 (48.332)	Prec@5 81.000 (78.620)
Epoch: [55][3220/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.8120 (2.0004)	Prec@1 48.500 (48.330)	Prec@5 80.000 (78.622)
Epoch: [55][3230/9018]	Time 0.642 (0.625)	Data 0.001 (0.003)	Loss 1.9189 (2.0004)	Prec@1 49.500 (48.327)	Prec@5 79.000 (78.621)
Epoch: [55][3240/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.9950 (2.0004)	Prec@1 52.500 (48.328)	Prec@5 77.000 (78.619)
Epoch: [55][3250/9018]	Time 0.761 (0.625)	Data 0.001 (0.003)	Loss 1.8794 (2.0004)	Prec@1 50.000 (48.326)	Prec@5 83.000 (78.621)
Epoch: [55][3260/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.9723 (2.0003)	Prec@1 50.000 (48.330)	Prec@5 77.000 (78.620)
Epoch: [55][3270/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.6519 (2.0002)	Prec@1 52.000 (48.330)	Prec@5 82.500 (78.618)
Epoch: [55][3280/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.2036 (2.0004)	Prec@1 41.500 (48.325)	Prec@5 75.500 (78.618)
Epoch: [55][3290/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.8153 (2.0004)	Prec@1 53.000 (48.325)	Prec@5 84.500 (78.618)
Epoch: [55][3300/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.8439 (2.0006)	Prec@1 51.000 (48.315)	Prec@5 79.000 (78.618)
Epoch: [55][3310/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.0880 (2.0007)	Prec@1 48.000 (48.315)	Prec@5 74.500 (78.612)
Epoch: [55][3320/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.2763 (2.0009)	Prec@1 40.000 (48.311)	Prec@5 74.000 (78.608)
Epoch: [55][3330/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.0092 (2.0009)	Prec@1 47.000 (48.309)	Prec@5 81.000 (78.607)
Epoch: [55][3340/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.9350 (2.0010)	Prec@1 50.500 (48.307)	Prec@5 78.500 (78.604)
Epoch: [55][3350/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.9441 (2.0010)	Prec@1 52.000 (48.307)	Prec@5 79.500 (78.603)
Epoch: [55][3360/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 2.1044 (2.0009)	Prec@1 46.500 (48.305)	Prec@5 79.000 (78.608)
Epoch: [55][3370/9018]	Time 0.607 (0.625)	Data 0.004 (0.003)	Loss 1.8855 (2.0008)	Prec@1 52.500 (48.306)	Prec@5 79.500 (78.609)
Epoch: [55][3380/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.9295 (2.0008)	Prec@1 51.500 (48.307)	Prec@5 81.000 (78.611)
Epoch: [55][3390/9018]	Time 0.618 (0.625)	Data 0.004 (0.003)	Loss 1.9809 (2.0008)	Prec@1 50.500 (48.309)	Prec@5 79.500 (78.609)
Epoch: [55][3400/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.9415 (2.0008)	Prec@1 49.000 (48.305)	Prec@5 81.500 (78.608)
Epoch: [55][3410/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0019 (2.0007)	Prec@1 47.000 (48.306)	Prec@5 79.500 (78.610)
Epoch: [55][3420/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.1361 (2.0008)	Prec@1 45.500 (48.304)	Prec@5 77.000 (78.606)
Epoch: [55][3430/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.9857 (2.0010)	Prec@1 48.500 (48.299)	Prec@5 78.500 (78.602)
Epoch: [55][3440/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0655 (2.0011)	Prec@1 47.000 (48.295)	Prec@5 76.500 (78.603)
Epoch: [55][3450/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.9742 (2.0012)	Prec@1 46.500 (48.295)	Prec@5 79.500 (78.599)
Epoch: [55][3460/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.0357 (2.0012)	Prec@1 50.000 (48.295)	Prec@5 77.000 (78.598)
Epoch: [55][3470/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.9325 (2.0014)	Prec@1 50.000 (48.291)	Prec@5 78.500 (78.598)
Epoch: [55][3480/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 2.2053 (2.0015)	Prec@1 46.500 (48.290)	Prec@5 74.500 (78.596)
Epoch: [55][3490/9018]	Time 0.638 (0.625)	Data 0.015 (0.003)	Loss 2.1728 (2.0017)	Prec@1 45.000 (48.287)	Prec@5 75.500 (78.592)
Epoch: [55][3500/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.0185 (2.0019)	Prec@1 46.000 (48.283)	Prec@5 78.000 (78.588)
Epoch: [55][3510/9018]	Time 0.623 (0.625)	Data 0.021 (0.003)	Loss 1.9837 (2.0017)	Prec@1 50.000 (48.284)	Prec@5 77.000 (78.589)
Epoch: [55][3520/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.1140 (2.0018)	Prec@1 47.000 (48.282)	Prec@5 76.500 (78.587)
Epoch: [55][3530/9018]	Time 0.757 (0.625)	Data 0.001 (0.003)	Loss 1.9473 (2.0018)	Prec@1 46.500 (48.282)	Prec@5 81.000 (78.587)
Epoch: [55][3540/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.9728 (2.0018)	Prec@1 50.500 (48.281)	Prec@5 81.500 (78.589)
Epoch: [55][3550/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.9543 (2.0018)	Prec@1 50.000 (48.280)	Prec@5 79.500 (78.591)
Epoch: [55][3560/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.0881 (2.0018)	Prec@1 48.500 (48.281)	Prec@5 77.500 (78.591)
Epoch: [55][3570/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 2.0511 (2.0018)	Prec@1 49.000 (48.282)	Prec@5 76.000 (78.591)
Epoch: [55][3580/9018]	Time 0.781 (0.625)	Data 0.001 (0.003)	Loss 1.9915 (2.0018)	Prec@1 47.000 (48.287)	Prec@5 80.000 (78.595)
Epoch: [55][3590/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.8133 (2.0017)	Prec@1 47.000 (48.282)	Prec@5 80.500 (78.596)
Epoch: [55][3600/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.1223 (2.0018)	Prec@1 42.000 (48.277)	Prec@5 76.000 (78.594)
Epoch: [55][3610/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.0661 (2.0019)	Prec@1 41.500 (48.278)	Prec@5 80.000 (78.596)
Epoch: [55][3620/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 2.3939 (2.0020)	Prec@1 38.500 (48.276)	Prec@5 72.500 (78.593)
Epoch: [55][3630/9018]	Time 0.660 (0.625)	Data 0.001 (0.003)	Loss 1.8696 (2.0021)	Prec@1 51.000 (48.273)	Prec@5 79.500 (78.591)
Epoch: [55][3640/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.8481 (2.0022)	Prec@1 50.500 (48.269)	Prec@5 83.000 (78.593)
Epoch: [55][3650/9018]	Time 0.658 (0.625)	Data 0.001 (0.003)	Loss 2.0994 (2.0022)	Prec@1 45.000 (48.272)	Prec@5 78.000 (78.591)
Epoch: [55][3660/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 2.0126 (2.0021)	Prec@1 50.000 (48.272)	Prec@5 78.000 (78.593)
Epoch: [55][3670/9018]	Time 0.611 (0.625)	Data 0.014 (0.003)	Loss 2.2506 (2.0024)	Prec@1 44.500 (48.272)	Prec@5 75.500 (78.588)
Epoch: [55][3680/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.1709 (2.0024)	Prec@1 42.500 (48.273)	Prec@5 74.500 (78.590)
Epoch: [55][3690/9018]	Time 0.655 (0.625)	Data 0.001 (0.003)	Loss 2.0929 (2.0024)	Prec@1 52.000 (48.271)	Prec@5 76.000 (78.590)
Epoch: [55][3700/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 2.0309 (2.0025)	Prec@1 46.500 (48.269)	Prec@5 77.500 (78.585)
Epoch: [55][3710/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9746 (2.0024)	Prec@1 53.500 (48.270)	Prec@5 77.500 (78.586)
Epoch: [55][3720/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.0219 (2.0021)	Prec@1 48.000 (48.273)	Prec@5 80.500 (78.596)
Epoch: [55][3730/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 2.0441 (2.0023)	Prec@1 50.500 (48.267)	Prec@5 78.000 (78.595)
Epoch: [55][3740/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.9433 (2.0023)	Prec@1 52.500 (48.264)	Prec@5 80.000 (78.598)
Epoch: [55][3750/9018]	Time 0.641 (0.625)	Data 0.015 (0.003)	Loss 2.0014 (2.0025)	Prec@1 50.500 (48.260)	Prec@5 75.500 (78.593)
Epoch: [55][3760/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 2.0754 (2.0026)	Prec@1 51.500 (48.259)	Prec@5 75.000 (78.589)
Epoch: [55][3770/9018]	Time 0.676 (0.626)	Data 0.010 (0.003)	Loss 2.0211 (2.0026)	Prec@1 49.500 (48.260)	Prec@5 79.500 (78.590)
Epoch: [55][3780/9018]	Time 0.656 (0.626)	Data 0.001 (0.003)	Loss 1.9480 (2.0026)	Prec@1 50.500 (48.261)	Prec@5 81.000 (78.590)
Epoch: [55][3790/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.1396 (2.0029)	Prec@1 46.000 (48.257)	Prec@5 79.000 (78.585)
Epoch: [55][3800/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.7383 (2.0026)	Prec@1 53.000 (48.257)	Prec@5 84.000 (78.591)
Epoch: [55][3810/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 1.9414 (2.0027)	Prec@1 50.000 (48.256)	Prec@5 81.500 (78.591)
Epoch: [55][3820/9018]	Time 0.631 (0.626)	Data 0.025 (0.003)	Loss 1.7943 (2.0025)	Prec@1 52.000 (48.257)	Prec@5 82.000 (78.590)
Epoch: [55][3830/9018]	Time 0.632 (0.626)	Data 0.001 (0.003)	Loss 2.1410 (2.0027)	Prec@1 44.500 (48.257)	Prec@5 75.500 (78.585)
Epoch: [55][3840/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.8616 (2.0028)	Prec@1 50.000 (48.254)	Prec@5 79.500 (78.582)
Epoch: [55][3850/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0981 (2.0027)	Prec@1 47.000 (48.255)	Prec@5 78.000 (78.583)
Epoch: [55][3860/9018]	Time 0.747 (0.625)	Data 0.017 (0.003)	Loss 1.9878 (2.0026)	Prec@1 51.000 (48.260)	Prec@5 78.500 (78.585)
Epoch: [55][3870/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8360 (2.0025)	Prec@1 48.000 (48.263)	Prec@5 84.000 (78.588)
Epoch: [55][3880/9018]	Time 0.637 (0.626)	Data 0.001 (0.003)	Loss 2.1702 (2.0026)	Prec@1 41.000 (48.259)	Prec@5 78.500 (78.589)
Epoch: [55][3890/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.1732 (2.0028)	Prec@1 44.500 (48.252)	Prec@5 77.000 (78.585)
Epoch: [55][3900/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 2.0270 (2.0027)	Prec@1 47.000 (48.253)	Prec@5 77.000 (78.588)
Epoch: [55][3910/9018]	Time 0.734 (0.626)	Data 0.001 (0.003)	Loss 1.9753 (2.0027)	Prec@1 46.000 (48.252)	Prec@5 79.000 (78.588)
Epoch: [55][3920/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.9235 (2.0026)	Prec@1 51.000 (48.255)	Prec@5 80.500 (78.589)
Epoch: [55][3930/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 2.1572 (2.0027)	Prec@1 46.000 (48.251)	Prec@5 75.500 (78.588)
Epoch: [55][3940/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 1.8625 (2.0025)	Prec@1 51.500 (48.254)	Prec@5 80.500 (78.590)
Epoch: [55][3950/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 1.8223 (2.0025)	Prec@1 49.500 (48.256)	Prec@5 82.500 (78.592)
Epoch: [55][3960/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 2.0520 (2.0025)	Prec@1 43.500 (48.251)	Prec@5 80.500 (78.594)
Epoch: [55][3970/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.9888 (2.0025)	Prec@1 46.500 (48.251)	Prec@5 77.000 (78.593)
Epoch: [55][3980/9018]	Time 0.641 (0.626)	Data 0.001 (0.003)	Loss 2.1254 (2.0027)	Prec@1 51.000 (48.245)	Prec@5 76.000 (78.593)
Epoch: [55][3990/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 1.9924 (2.0029)	Prec@1 48.500 (48.240)	Prec@5 78.000 (78.591)
Epoch: [55][4000/9018]	Time 0.617 (0.626)	Data 0.014 (0.003)	Loss 1.8069 (2.0029)	Prec@1 55.000 (48.244)	Prec@5 81.500 (78.592)
Epoch: [55][4010/9018]	Time 0.642 (0.626)	Data 0.015 (0.003)	Loss 1.9061 (2.0030)	Prec@1 50.500 (48.241)	Prec@5 79.000 (78.589)
Epoch: [55][4020/9018]	Time 0.590 (0.626)	Data 0.001 (0.003)	Loss 1.8261 (2.0030)	Prec@1 55.500 (48.242)	Prec@5 80.000 (78.588)
Epoch: [55][4030/9018]	Time 0.622 (0.626)	Data 0.013 (0.003)	Loss 2.0736 (2.0031)	Prec@1 46.500 (48.240)	Prec@5 78.000 (78.587)
Epoch: [55][4040/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.8520 (2.0033)	Prec@1 50.000 (48.238)	Prec@5 80.500 (78.583)
Epoch: [55][4050/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.2106 (2.0033)	Prec@1 47.500 (48.236)	Prec@5 69.000 (78.579)
Epoch: [55][4060/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 2.0759 (2.0033)	Prec@1 45.000 (48.239)	Prec@5 77.000 (78.576)
Epoch: [55][4070/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.8890 (2.0033)	Prec@1 49.000 (48.238)	Prec@5 80.000 (78.574)
Epoch: [55][4080/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 1.8198 (2.0033)	Prec@1 47.500 (48.237)	Prec@5 84.500 (78.575)
Epoch: [55][4090/9018]	Time 0.621 (0.626)	Data 0.016 (0.003)	Loss 1.8409 (2.0031)	Prec@1 53.000 (48.239)	Prec@5 81.000 (78.579)
Epoch: [55][4100/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.1418 (2.0031)	Prec@1 47.500 (48.239)	Prec@5 77.000 (78.577)
Epoch: [55][4110/9018]	Time 0.624 (0.626)	Data 0.017 (0.003)	Loss 2.1017 (2.0033)	Prec@1 40.500 (48.234)	Prec@5 79.000 (78.573)
Epoch: [55][4120/9018]	Time 0.633 (0.626)	Data 0.005 (0.003)	Loss 1.9460 (2.0031)	Prec@1 49.000 (48.238)	Prec@5 79.000 (78.578)
Epoch: [55][4130/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.1404 (2.0031)	Prec@1 44.000 (48.237)	Prec@5 79.500 (78.579)
Epoch: [55][4140/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 2.0213 (2.0031)	Prec@1 44.500 (48.233)	Prec@5 81.000 (78.581)
Epoch: [55][4150/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 1.9659 (2.0031)	Prec@1 46.500 (48.234)	Prec@5 81.000 (78.580)
Epoch: [55][4160/9018]	Time 0.639 (0.626)	Data 0.001 (0.003)	Loss 1.9342 (2.0032)	Prec@1 49.000 (48.234)	Prec@5 80.000 (78.579)
Epoch: [55][4170/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 2.1348 (2.0033)	Prec@1 43.500 (48.229)	Prec@5 75.000 (78.578)
Epoch: [55][4180/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 2.1603 (2.0034)	Prec@1 44.000 (48.223)	Prec@5 76.000 (78.573)
Epoch: [55][4190/9018]	Time 0.762 (0.626)	Data 0.001 (0.003)	Loss 2.3331 (2.0035)	Prec@1 40.000 (48.223)	Prec@5 69.500 (78.569)
Epoch: [55][4200/9018]	Time 0.628 (0.626)	Data 0.012 (0.003)	Loss 2.0333 (2.0035)	Prec@1 45.500 (48.223)	Prec@5 80.000 (78.570)
Epoch: [55][4210/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.9441 (2.0036)	Prec@1 50.500 (48.222)	Prec@5 82.000 (78.567)
Epoch: [55][4220/9018]	Time 0.590 (0.626)	Data 0.001 (0.003)	Loss 2.0125 (2.0036)	Prec@1 50.000 (48.224)	Prec@5 76.500 (78.569)
Epoch: [55][4230/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 2.0263 (2.0035)	Prec@1 49.500 (48.225)	Prec@5 81.500 (78.571)
Epoch: [55][4240/9018]	Time 0.780 (0.626)	Data 0.001 (0.003)	Loss 1.9609 (2.0033)	Prec@1 50.500 (48.230)	Prec@5 79.000 (78.572)
Epoch: [55][4250/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.8352 (2.0033)	Prec@1 50.500 (48.230)	Prec@5 82.500 (78.573)
Epoch: [55][4260/9018]	Time 0.615 (0.626)	Data 0.004 (0.003)	Loss 1.9261 (2.0032)	Prec@1 54.500 (48.231)	Prec@5 78.500 (78.576)
Epoch: [55][4270/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.7675 (2.0033)	Prec@1 53.000 (48.228)	Prec@5 82.000 (78.575)
Epoch: [55][4280/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 1.9654 (2.0035)	Prec@1 51.000 (48.225)	Prec@5 75.500 (78.570)
Epoch: [55][4290/9018]	Time 0.634 (0.626)	Data 0.001 (0.003)	Loss 2.1559 (2.0036)	Prec@1 48.000 (48.224)	Prec@5 75.000 (78.569)
Epoch: [55][4300/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.9732 (2.0037)	Prec@1 48.500 (48.220)	Prec@5 78.500 (78.569)
Epoch: [55][4310/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 1.9715 (2.0038)	Prec@1 48.500 (48.215)	Prec@5 77.500 (78.565)
Epoch: [55][4320/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 2.2956 (2.0039)	Prec@1 41.500 (48.210)	Prec@5 73.500 (78.563)
Epoch: [55][4330/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.0148 (2.0040)	Prec@1 44.000 (48.206)	Prec@5 79.000 (78.562)
Epoch: [55][4340/9018]	Time 0.634 (0.626)	Data 0.001 (0.003)	Loss 1.8442 (2.0040)	Prec@1 51.500 (48.201)	Prec@5 84.500 (78.560)
Epoch: [55][4350/9018]	Time 0.615 (0.626)	Data 0.016 (0.003)	Loss 1.9848 (2.0040)	Prec@1 44.000 (48.199)	Prec@5 80.000 (78.561)
Epoch: [55][4360/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.8172 (2.0037)	Prec@1 49.500 (48.204)	Prec@5 83.500 (78.567)
Epoch: [55][4370/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.7812 (2.0035)	Prec@1 57.000 (48.208)	Prec@5 81.500 (78.571)
Epoch: [55][4380/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.1431 (2.0036)	Prec@1 48.500 (48.203)	Prec@5 75.500 (78.570)
Epoch: [55][4390/9018]	Time 0.640 (0.626)	Data 0.015 (0.003)	Loss 1.8770 (2.0037)	Prec@1 51.500 (48.203)	Prec@5 83.000 (78.567)
Epoch: [55][4400/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.9194 (2.0037)	Prec@1 48.500 (48.202)	Prec@5 78.500 (78.567)
Epoch: [55][4410/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 1.7158 (2.0037)	Prec@1 51.000 (48.199)	Prec@5 85.000 (78.567)
Epoch: [55][4420/9018]	Time 0.592 (0.626)	Data 0.001 (0.003)	Loss 1.9821 (2.0037)	Prec@1 49.500 (48.199)	Prec@5 78.000 (78.569)
Epoch: [55][4430/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.9608 (2.0037)	Prec@1 48.000 (48.199)	Prec@5 82.500 (78.570)
Epoch: [55][4440/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 2.1694 (2.0037)	Prec@1 43.500 (48.198)	Prec@5 72.000 (78.568)
Epoch: [55][4450/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.1594 (2.0037)	Prec@1 44.000 (48.200)	Prec@5 74.500 (78.567)
Epoch: [55][4460/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.7959 (2.0037)	Prec@1 55.500 (48.199)	Prec@5 84.500 (78.566)
Epoch: [55][4470/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.9302 (2.0036)	Prec@1 51.000 (48.200)	Prec@5 82.000 (78.568)
Epoch: [55][4480/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.8044 (2.0035)	Prec@1 52.500 (48.203)	Prec@5 85.500 (78.569)
Epoch: [55][4490/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 2.0002 (2.0035)	Prec@1 49.500 (48.203)	Prec@5 75.000 (78.568)
Epoch: [55][4500/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.2695 (2.0035)	Prec@1 42.000 (48.203)	Prec@5 76.500 (78.566)
Epoch: [55][4510/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 1.9739 (2.0035)	Prec@1 47.000 (48.205)	Prec@5 81.500 (78.566)
Epoch: [55][4520/9018]	Time 0.762 (0.626)	Data 0.001 (0.003)	Loss 1.9463 (2.0035)	Prec@1 46.500 (48.205)	Prec@5 82.000 (78.567)
Epoch: [55][4530/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 2.3116 (2.0036)	Prec@1 40.500 (48.203)	Prec@5 73.500 (78.566)
Epoch: [55][4540/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 1.8585 (2.0036)	Prec@1 50.500 (48.201)	Prec@5 81.000 (78.563)
Epoch: [55][4550/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 2.0608 (2.0036)	Prec@1 46.000 (48.200)	Prec@5 77.500 (78.563)
Epoch: [55][4560/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 2.0086 (2.0036)	Prec@1 46.000 (48.203)	Prec@5 78.500 (78.563)
Epoch: [55][4570/9018]	Time 0.760 (0.626)	Data 0.001 (0.003)	Loss 2.0896 (2.0036)	Prec@1 50.500 (48.204)	Prec@5 74.000 (78.562)
Epoch: [55][4580/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.1604 (2.0036)	Prec@1 48.500 (48.207)	Prec@5 77.500 (78.562)
Epoch: [55][4590/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 2.2207 (2.0037)	Prec@1 47.000 (48.204)	Prec@5 75.000 (78.559)
Epoch: [55][4600/9018]	Time 0.635 (0.625)	Data 0.012 (0.003)	Loss 1.8395 (2.0036)	Prec@1 50.500 (48.205)	Prec@5 83.500 (78.561)
Epoch: [55][4610/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.2261 (2.0036)	Prec@1 43.000 (48.205)	Prec@5 74.000 (78.560)
Epoch: [55][4620/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 1.6534 (2.0036)	Prec@1 52.500 (48.203)	Prec@5 88.500 (78.561)
Epoch: [55][4630/9018]	Time 0.599 (0.625)	Data 0.016 (0.003)	Loss 2.1308 (2.0035)	Prec@1 45.000 (48.205)	Prec@5 75.000 (78.564)
Epoch: [55][4640/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.9060 (2.0036)	Prec@1 48.500 (48.201)	Prec@5 81.500 (78.560)
Epoch: [55][4650/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8924 (2.0035)	Prec@1 52.000 (48.203)	Prec@5 81.500 (78.561)
Epoch: [55][4660/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 2.1098 (2.0035)	Prec@1 42.500 (48.198)	Prec@5 78.000 (78.559)
Epoch: [55][4670/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 1.9591 (2.0036)	Prec@1 49.500 (48.195)	Prec@5 81.000 (78.557)
Epoch: [55][4680/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0290 (2.0037)	Prec@1 44.500 (48.193)	Prec@5 79.500 (78.556)
Epoch: [55][4690/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0888 (2.0038)	Prec@1 44.500 (48.190)	Prec@5 75.000 (78.554)
Epoch: [55][4700/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 2.1086 (2.0039)	Prec@1 44.500 (48.191)	Prec@5 76.500 (78.552)
Epoch: [55][4710/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 1.8408 (2.0037)	Prec@1 50.000 (48.192)	Prec@5 81.000 (78.555)
Epoch: [55][4720/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.1964 (2.0037)	Prec@1 44.500 (48.189)	Prec@5 77.000 (78.555)
Epoch: [55][4730/9018]	Time 0.613 (0.625)	Data 0.015 (0.003)	Loss 1.9194 (2.0038)	Prec@1 48.000 (48.189)	Prec@5 81.000 (78.555)
Epoch: [55][4740/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9340 (2.0038)	Prec@1 47.500 (48.188)	Prec@5 79.500 (78.553)
Epoch: [55][4750/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.0157 (2.0038)	Prec@1 55.000 (48.192)	Prec@5 78.500 (78.554)
Epoch: [55][4760/9018]	Time 0.588 (0.625)	Data 0.001 (0.003)	Loss 2.0849 (2.0037)	Prec@1 40.500 (48.190)	Prec@5 80.500 (78.555)
Epoch: [55][4770/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.9189 (2.0038)	Prec@1 50.000 (48.191)	Prec@5 79.000 (78.552)
Epoch: [55][4780/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.9410 (2.0038)	Prec@1 50.000 (48.190)	Prec@5 82.500 (78.552)
Epoch: [55][4790/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.9172 (2.0037)	Prec@1 50.000 (48.189)	Prec@5 81.000 (78.552)
Epoch: [55][4800/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.1115 (2.0038)	Prec@1 47.500 (48.189)	Prec@5 73.500 (78.551)
Epoch: [55][4810/9018]	Time 0.615 (0.626)	Data 0.004 (0.003)	Loss 1.8979 (2.0038)	Prec@1 51.000 (48.192)	Prec@5 80.500 (78.549)
Epoch: [55][4820/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 2.0987 (2.0038)	Prec@1 47.000 (48.190)	Prec@5 80.000 (78.548)
Epoch: [55][4830/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 2.0915 (2.0039)	Prec@1 49.000 (48.191)	Prec@5 76.000 (78.546)
Epoch: [55][4840/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.0534 (2.0040)	Prec@1 50.500 (48.190)	Prec@5 78.000 (78.546)
Epoch: [55][4850/9018]	Time 0.760 (0.626)	Data 0.003 (0.003)	Loss 2.0159 (2.0040)	Prec@1 49.500 (48.190)	Prec@5 78.000 (78.548)
Epoch: [55][4860/9018]	Time 0.609 (0.626)	Data 0.014 (0.003)	Loss 1.8860 (2.0041)	Prec@1 53.000 (48.187)	Prec@5 81.000 (78.545)
Epoch: [55][4870/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 1.9031 (2.0040)	Prec@1 50.000 (48.192)	Prec@5 80.000 (78.547)
Epoch: [55][4880/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.9381 (2.0040)	Prec@1 47.500 (48.190)	Prec@5 80.500 (78.545)
Epoch: [55][4890/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.0028 (2.0041)	Prec@1 44.500 (48.190)	Prec@5 80.500 (78.544)
Epoch: [55][4900/9018]	Time 0.742 (0.625)	Data 0.001 (0.003)	Loss 2.1153 (2.0042)	Prec@1 44.000 (48.190)	Prec@5 74.500 (78.539)
Epoch: [55][4910/9018]	Time 0.619 (0.625)	Data 0.005 (0.003)	Loss 2.1866 (2.0042)	Prec@1 47.000 (48.189)	Prec@5 73.000 (78.537)
Epoch: [55][4920/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.0106 (2.0042)	Prec@1 55.500 (48.189)	Prec@5 77.500 (78.539)
Epoch: [55][4930/9018]	Time 0.613 (0.625)	Data 0.003 (0.003)	Loss 1.8296 (2.0043)	Prec@1 49.000 (48.186)	Prec@5 84.500 (78.538)
Epoch: [55][4940/9018]	Time 0.655 (0.625)	Data 0.001 (0.003)	Loss 2.2112 (2.0043)	Prec@1 42.500 (48.188)	Prec@5 76.500 (78.538)
Epoch: [55][4950/9018]	Time 0.634 (0.626)	Data 0.001 (0.003)	Loss 1.8924 (2.0043)	Prec@1 45.500 (48.186)	Prec@5 81.000 (78.539)
Epoch: [55][4960/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.9513 (2.0043)	Prec@1 49.500 (48.186)	Prec@5 80.000 (78.537)
Epoch: [55][4970/9018]	Time 0.621 (0.625)	Data 0.017 (0.003)	Loss 2.0045 (2.0044)	Prec@1 44.000 (48.183)	Prec@5 75.000 (78.535)
Epoch: [55][4980/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.8388 (2.0043)	Prec@1 52.500 (48.182)	Prec@5 79.000 (78.535)
Epoch: [55][4990/9018]	Time 0.616 (0.625)	Data 0.007 (0.003)	Loss 2.0442 (2.0044)	Prec@1 47.500 (48.180)	Prec@5 77.500 (78.533)
Epoch: [55][5000/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 1.9805 (2.0045)	Prec@1 48.500 (48.178)	Prec@5 78.000 (78.532)
Epoch: [55][5010/9018]	Time 0.644 (0.626)	Data 0.001 (0.003)	Loss 2.1083 (2.0046)	Prec@1 44.000 (48.178)	Prec@5 72.000 (78.530)
Epoch: [55][5020/9018]	Time 0.671 (0.626)	Data 0.005 (0.003)	Loss 2.1255 (2.0046)	Prec@1 46.000 (48.177)	Prec@5 74.000 (78.532)
Epoch: [55][5030/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0938 (2.0047)	Prec@1 42.000 (48.172)	Prec@5 78.500 (78.531)
Epoch: [55][5040/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 1.9569 (2.0047)	Prec@1 51.000 (48.174)	Prec@5 76.000 (78.530)
Epoch: [55][5050/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.9627 (2.0046)	Prec@1 49.000 (48.174)	Prec@5 78.500 (78.530)
Epoch: [55][5060/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.8368 (2.0045)	Prec@1 54.000 (48.177)	Prec@5 79.500 (78.531)
Epoch: [55][5070/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.0274 (2.0046)	Prec@1 52.000 (48.176)	Prec@5 77.500 (78.529)
Epoch: [55][5080/9018]	Time 0.612 (0.625)	Data 0.016 (0.003)	Loss 2.0365 (2.0047)	Prec@1 49.000 (48.174)	Prec@5 81.000 (78.528)
Epoch: [55][5090/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.0643 (2.0047)	Prec@1 44.500 (48.173)	Prec@5 79.000 (78.528)
Epoch: [55][5100/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.3625 (2.0048)	Prec@1 42.500 (48.171)	Prec@5 71.500 (78.527)
Epoch: [55][5110/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.8968 (2.0048)	Prec@1 50.000 (48.170)	Prec@5 80.500 (78.526)
Epoch: [55][5120/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.0574 (2.0049)	Prec@1 47.000 (48.168)	Prec@5 76.000 (78.523)
Epoch: [55][5130/9018]	Time 0.644 (0.625)	Data 0.014 (0.003)	Loss 1.8052 (2.0048)	Prec@1 48.000 (48.168)	Prec@5 83.000 (78.528)
Epoch: [55][5140/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 1.8090 (2.0048)	Prec@1 53.500 (48.171)	Prec@5 80.500 (78.527)
Epoch: [55][5150/9018]	Time 0.604 (0.626)	Data 0.005 (0.003)	Loss 2.1487 (2.0049)	Prec@1 44.000 (48.168)	Prec@5 77.500 (78.524)
Epoch: [55][5160/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.8910 (2.0049)	Prec@1 48.000 (48.167)	Prec@5 80.000 (78.521)
Epoch: [55][5170/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.1168 (2.0051)	Prec@1 51.500 (48.164)	Prec@5 74.500 (78.518)
Epoch: [55][5180/9018]	Time 0.736 (0.626)	Data 0.006 (0.003)	Loss 1.7395 (2.0051)	Prec@1 54.500 (48.166)	Prec@5 83.500 (78.517)
Epoch: [55][5190/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 2.0021 (2.0051)	Prec@1 45.000 (48.167)	Prec@5 77.000 (78.515)
Epoch: [55][5200/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.1302 (2.0052)	Prec@1 45.000 (48.167)	Prec@5 74.500 (78.514)
Epoch: [55][5210/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.0300 (2.0051)	Prec@1 46.000 (48.165)	Prec@5 76.500 (78.516)
Epoch: [55][5220/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.0040 (2.0050)	Prec@1 50.500 (48.168)	Prec@5 80.500 (78.518)
Epoch: [55][5230/9018]	Time 0.748 (0.625)	Data 0.001 (0.003)	Loss 2.2663 (2.0051)	Prec@1 44.000 (48.166)	Prec@5 75.000 (78.515)
Epoch: [55][5240/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.8287 (2.0051)	Prec@1 53.000 (48.167)	Prec@5 83.500 (78.517)
Epoch: [55][5250/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.7857 (2.0051)	Prec@1 50.500 (48.167)	Prec@5 82.000 (78.516)
Epoch: [55][5260/9018]	Time 0.611 (0.625)	Data 0.002 (0.003)	Loss 2.0863 (2.0052)	Prec@1 42.500 (48.161)	Prec@5 75.000 (78.515)
Epoch: [55][5270/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 2.0664 (2.0053)	Prec@1 53.000 (48.161)	Prec@5 76.000 (78.513)
Epoch: [55][5280/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 2.0069 (2.0053)	Prec@1 48.000 (48.159)	Prec@5 79.000 (78.513)
Epoch: [55][5290/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 2.1947 (2.0053)	Prec@1 44.500 (48.163)	Prec@5 74.000 (78.513)
Epoch: [55][5300/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.9822 (2.0054)	Prec@1 50.000 (48.160)	Prec@5 79.500 (78.513)
Epoch: [55][5310/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 2.0074 (2.0054)	Prec@1 50.000 (48.159)	Prec@5 77.500 (78.512)
Epoch: [55][5320/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.8725 (2.0054)	Prec@1 49.000 (48.160)	Prec@5 79.000 (78.513)
Epoch: [55][5330/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.0270 (2.0055)	Prec@1 44.500 (48.157)	Prec@5 78.500 (78.511)
Epoch: [55][5340/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.1160 (2.0055)	Prec@1 47.000 (48.159)	Prec@5 75.500 (78.509)
Epoch: [55][5350/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.0132 (2.0055)	Prec@1 48.000 (48.160)	Prec@5 80.500 (78.510)
Epoch: [55][5360/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.2081 (2.0056)	Prec@1 50.000 (48.161)	Prec@5 74.500 (78.508)
Epoch: [55][5370/9018]	Time 0.617 (0.625)	Data 0.006 (0.003)	Loss 2.0229 (2.0055)	Prec@1 49.500 (48.162)	Prec@5 80.000 (78.511)
Epoch: [55][5380/9018]	Time 0.636 (0.626)	Data 0.001 (0.003)	Loss 1.9629 (2.0055)	Prec@1 47.500 (48.159)	Prec@5 80.500 (78.509)
Epoch: [55][5390/9018]	Time 0.610 (0.625)	Data 0.025 (0.003)	Loss 1.9520 (2.0057)	Prec@1 46.000 (48.157)	Prec@5 82.000 (78.509)
Epoch: [55][5400/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.0753 (2.0057)	Prec@1 43.500 (48.154)	Prec@5 77.000 (78.507)
Epoch: [55][5410/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8901 (2.0058)	Prec@1 50.000 (48.155)	Prec@5 80.000 (78.506)
Epoch: [55][5420/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 1.9409 (2.0057)	Prec@1 47.000 (48.157)	Prec@5 80.000 (78.506)
Epoch: [55][5430/9018]	Time 0.637 (0.626)	Data 0.015 (0.003)	Loss 1.9860 (2.0057)	Prec@1 42.500 (48.156)	Prec@5 78.500 (78.507)
Epoch: [55][5440/9018]	Time 0.642 (0.625)	Data 0.001 (0.003)	Loss 1.7345 (2.0056)	Prec@1 55.000 (48.160)	Prec@5 79.500 (78.507)
Epoch: [55][5450/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9988 (2.0056)	Prec@1 49.000 (48.159)	Prec@5 79.000 (78.507)
Epoch: [55][5460/9018]	Time 0.749 (0.626)	Data 0.001 (0.003)	Loss 2.0844 (2.0057)	Prec@1 47.500 (48.158)	Prec@5 76.000 (78.506)
Epoch: [55][5470/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.8792 (2.0057)	Prec@1 47.000 (48.157)	Prec@5 79.000 (78.506)
Epoch: [55][5480/9018]	Time 0.634 (0.626)	Data 0.001 (0.003)	Loss 2.0513 (2.0058)	Prec@1 50.000 (48.155)	Prec@5 76.000 (78.504)
Epoch: [55][5490/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.0288 (2.0057)	Prec@1 50.500 (48.157)	Prec@5 76.000 (78.504)
Epoch: [55][5500/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0219 (2.0058)	Prec@1 45.000 (48.155)	Prec@5 78.000 (78.504)
Epoch: [55][5510/9018]	Time 0.777 (0.626)	Data 0.002 (0.003)	Loss 1.8338 (2.0058)	Prec@1 53.000 (48.156)	Prec@5 78.500 (78.504)
Epoch: [55][5520/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.0499 (2.0058)	Prec@1 48.500 (48.159)	Prec@5 78.000 (78.504)
Epoch: [55][5530/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.0476 (2.0057)	Prec@1 49.500 (48.161)	Prec@5 81.000 (78.506)
Epoch: [55][5540/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.0122 (2.0058)	Prec@1 47.500 (48.159)	Prec@5 74.500 (78.502)
Epoch: [55][5550/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9704 (2.0058)	Prec@1 47.000 (48.157)	Prec@5 80.500 (78.503)
Epoch: [55][5560/9018]	Time 0.625 (0.625)	Data 0.010 (0.003)	Loss 1.7797 (2.0058)	Prec@1 60.000 (48.158)	Prec@5 81.000 (78.506)
Epoch: [55][5570/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.9846 (2.0059)	Prec@1 50.000 (48.157)	Prec@5 82.000 (78.504)
Epoch: [55][5580/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9726 (2.0059)	Prec@1 46.500 (48.156)	Prec@5 80.500 (78.502)
Epoch: [55][5590/9018]	Time 0.597 (0.625)	Data 0.004 (0.003)	Loss 1.9711 (2.0059)	Prec@1 47.000 (48.158)	Prec@5 79.500 (78.505)
Epoch: [55][5600/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.9388 (2.0059)	Prec@1 47.500 (48.158)	Prec@5 82.000 (78.505)
Epoch: [55][5610/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.1238 (2.0059)	Prec@1 40.000 (48.158)	Prec@5 75.500 (78.501)
Epoch: [55][5620/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.0308 (2.0059)	Prec@1 50.000 (48.159)	Prec@5 79.500 (78.501)
Epoch: [55][5630/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.1692 (2.0059)	Prec@1 44.000 (48.158)	Prec@5 76.000 (78.501)
Epoch: [55][5640/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.9238 (2.0060)	Prec@1 47.000 (48.155)	Prec@5 81.000 (78.500)
Epoch: [55][5650/9018]	Time 0.642 (0.625)	Data 0.001 (0.003)	Loss 2.0987 (2.0060)	Prec@1 45.000 (48.156)	Prec@5 79.000 (78.502)
Epoch: [55][5660/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.0505 (2.0061)	Prec@1 49.500 (48.154)	Prec@5 77.500 (78.502)
Epoch: [55][5670/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.1172 (2.0062)	Prec@1 50.500 (48.153)	Prec@5 76.500 (78.498)
Epoch: [55][5680/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.1907 (2.0062)	Prec@1 47.500 (48.152)	Prec@5 75.000 (78.499)
Epoch: [55][5690/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.9913 (2.0061)	Prec@1 51.500 (48.153)	Prec@5 79.500 (78.500)
Epoch: [55][5700/9018]	Time 0.615 (0.625)	Data 0.014 (0.003)	Loss 2.0253 (2.0062)	Prec@1 49.000 (48.152)	Prec@5 77.500 (78.502)
Epoch: [55][5710/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 2.0978 (2.0061)	Prec@1 45.500 (48.154)	Prec@5 78.500 (78.504)
Epoch: [55][5720/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.0150 (2.0060)	Prec@1 46.500 (48.153)	Prec@5 76.000 (78.504)
Epoch: [55][5730/9018]	Time 0.633 (0.626)	Data 0.001 (0.003)	Loss 1.9924 (2.0061)	Prec@1 47.000 (48.150)	Prec@5 82.000 (78.504)
Epoch: [55][5740/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 2.0151 (2.0062)	Prec@1 47.000 (48.148)	Prec@5 78.000 (78.501)
Epoch: [55][5750/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.9706 (2.0062)	Prec@1 51.500 (48.148)	Prec@5 81.000 (78.501)
Epoch: [55][5760/9018]	Time 0.636 (0.626)	Data 0.015 (0.003)	Loss 1.8488 (2.0062)	Prec@1 50.500 (48.148)	Prec@5 81.000 (78.501)
Epoch: [55][5770/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 2.0682 (2.0062)	Prec@1 47.500 (48.148)	Prec@5 78.500 (78.502)
Epoch: [55][5780/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.0943 (2.0061)	Prec@1 47.500 (48.148)	Prec@5 77.500 (78.504)
Epoch: [55][5790/9018]	Time 0.792 (0.626)	Data 0.001 (0.003)	Loss 1.9820 (2.0062)	Prec@1 47.000 (48.145)	Prec@5 80.000 (78.504)
Epoch: [55][5800/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 1.6484 (2.0061)	Prec@1 54.000 (48.148)	Prec@5 84.000 (78.504)
Epoch: [55][5810/9018]	Time 0.632 (0.626)	Data 0.001 (0.003)	Loss 1.9891 (2.0062)	Prec@1 49.000 (48.145)	Prec@5 80.500 (78.503)
Epoch: [55][5820/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 1.9387 (2.0062)	Prec@1 52.500 (48.145)	Prec@5 80.500 (78.504)
Epoch: [55][5830/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 2.1951 (2.0062)	Prec@1 44.500 (48.142)	Prec@5 79.000 (78.505)
Epoch: [55][5840/9018]	Time 0.740 (0.626)	Data 0.001 (0.003)	Loss 2.0671 (2.0063)	Prec@1 42.500 (48.140)	Prec@5 78.500 (78.504)
Epoch: [55][5850/9018]	Time 0.634 (0.626)	Data 0.001 (0.003)	Loss 1.9395 (2.0062)	Prec@1 50.000 (48.140)	Prec@5 78.000 (78.505)
Epoch: [55][5860/9018]	Time 0.641 (0.626)	Data 0.001 (0.003)	Loss 2.2078 (2.0063)	Prec@1 42.000 (48.139)	Prec@5 77.500 (78.505)
Epoch: [55][5870/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 2.0140 (2.0062)	Prec@1 47.000 (48.137)	Prec@5 82.500 (78.505)
Epoch: [55][5880/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 2.0932 (2.0063)	Prec@1 50.500 (48.136)	Prec@5 75.500 (78.504)
Epoch: [55][5890/9018]	Time 0.647 (0.626)	Data 0.001 (0.003)	Loss 2.1570 (2.0063)	Prec@1 46.000 (48.134)	Prec@5 75.500 (78.504)
Epoch: [55][5900/9018]	Time 0.631 (0.626)	Data 0.001 (0.003)	Loss 2.0341 (2.0064)	Prec@1 44.500 (48.132)	Prec@5 80.000 (78.501)
Epoch: [55][5910/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.0693 (2.0065)	Prec@1 50.000 (48.130)	Prec@5 79.000 (78.501)
Epoch: [55][5920/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 1.8481 (2.0066)	Prec@1 52.500 (48.130)	Prec@5 78.000 (78.501)
Epoch: [55][5930/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.9940 (2.0066)	Prec@1 46.000 (48.131)	Prec@5 78.000 (78.500)
Epoch: [55][5940/9018]	Time 0.651 (0.626)	Data 0.001 (0.003)	Loss 2.1461 (2.0066)	Prec@1 46.500 (48.132)	Prec@5 75.500 (78.500)
Epoch: [55][5950/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 1.9983 (2.0066)	Prec@1 48.000 (48.130)	Prec@5 77.500 (78.501)
Epoch: [55][5960/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 2.0950 (2.0067)	Prec@1 47.500 (48.133)	Prec@5 78.000 (78.500)
Epoch: [55][5970/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 2.0524 (2.0067)	Prec@1 52.000 (48.133)	Prec@5 77.500 (78.498)
Epoch: [55][5980/9018]	Time 0.618 (0.626)	Data 0.014 (0.003)	Loss 2.1485 (2.0067)	Prec@1 46.000 (48.131)	Prec@5 76.000 (78.498)
Epoch: [55][5990/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 1.8834 (2.0068)	Prec@1 52.500 (48.131)	Prec@5 77.500 (78.496)
Epoch: [55][6000/9018]	Time 0.645 (0.626)	Data 0.001 (0.003)	Loss 1.9824 (2.0068)	Prec@1 50.500 (48.130)	Prec@5 79.000 (78.497)
Epoch: [55][6010/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 1.7968 (2.0067)	Prec@1 51.500 (48.131)	Prec@5 87.500 (78.500)
Epoch: [55][6020/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 1.8664 (2.0066)	Prec@1 50.500 (48.133)	Prec@5 83.500 (78.503)
Epoch: [55][6030/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.0308 (2.0066)	Prec@1 49.500 (48.135)	Prec@5 77.000 (78.503)
Epoch: [55][6040/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 1.9650 (2.0066)	Prec@1 51.500 (48.138)	Prec@5 77.000 (78.503)
Epoch: [55][6050/9018]	Time 0.597 (0.626)	Data 0.005 (0.003)	Loss 1.8880 (2.0066)	Prec@1 49.500 (48.138)	Prec@5 82.000 (78.505)
Epoch: [55][6060/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.1161 (2.0066)	Prec@1 51.500 (48.137)	Prec@5 76.000 (78.503)
Epoch: [55][6070/9018]	Time 0.631 (0.626)	Data 0.001 (0.003)	Loss 2.0336 (2.0066)	Prec@1 47.500 (48.135)	Prec@5 83.500 (78.503)
Epoch: [55][6080/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.1543 (2.0066)	Prec@1 42.000 (48.135)	Prec@5 74.500 (78.503)
Epoch: [55][6090/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 2.0673 (2.0067)	Prec@1 51.000 (48.134)	Prec@5 77.000 (78.501)
Epoch: [55][6100/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 2.0093 (2.0066)	Prec@1 50.000 (48.135)	Prec@5 79.500 (78.505)
Epoch: [55][6110/9018]	Time 0.635 (0.626)	Data 0.016 (0.003)	Loss 2.0321 (2.0065)	Prec@1 46.000 (48.137)	Prec@5 73.000 (78.505)
Epoch: [55][6120/9018]	Time 0.723 (0.626)	Data 0.009 (0.003)	Loss 2.1591 (2.0065)	Prec@1 42.500 (48.133)	Prec@5 74.000 (78.503)
Epoch: [55][6130/9018]	Time 0.633 (0.626)	Data 0.012 (0.003)	Loss 1.9931 (2.0065)	Prec@1 45.500 (48.131)	Prec@5 79.000 (78.505)
Epoch: [55][6140/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 2.0868 (2.0065)	Prec@1 45.000 (48.130)	Prec@5 79.500 (78.507)
Epoch: [55][6150/9018]	Time 0.648 (0.626)	Data 0.015 (0.003)	Loss 1.9983 (2.0065)	Prec@1 44.000 (48.130)	Prec@5 80.000 (78.506)
Epoch: [55][6160/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.0775 (2.0065)	Prec@1 45.000 (48.129)	Prec@5 78.500 (78.506)
Epoch: [55][6170/9018]	Time 0.714 (0.626)	Data 0.001 (0.003)	Loss 1.8436 (2.0065)	Prec@1 52.500 (48.127)	Prec@5 80.500 (78.507)
Epoch: [55][6180/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.1771 (2.0066)	Prec@1 45.000 (48.126)	Prec@5 75.500 (78.507)
Epoch: [55][6190/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.8574 (2.0065)	Prec@1 49.000 (48.128)	Prec@5 79.000 (78.510)
Epoch: [55][6200/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.0447 (2.0066)	Prec@1 46.000 (48.127)	Prec@5 75.500 (78.508)
Epoch: [55][6210/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 1.9142 (2.0066)	Prec@1 49.000 (48.129)	Prec@5 82.500 (78.508)
Epoch: [55][6220/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.9377 (2.0065)	Prec@1 47.500 (48.130)	Prec@5 80.500 (78.510)
Epoch: [55][6230/9018]	Time 0.617 (0.626)	Data 0.014 (0.003)	Loss 1.9999 (2.0064)	Prec@1 50.500 (48.132)	Prec@5 76.000 (78.510)
Epoch: [55][6240/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 2.0802 (2.0065)	Prec@1 47.000 (48.131)	Prec@5 81.000 (78.508)
Epoch: [55][6250/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.8808 (2.0064)	Prec@1 52.500 (48.133)	Prec@5 82.000 (78.510)
Epoch: [55][6260/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.1680 (2.0065)	Prec@1 48.000 (48.131)	Prec@5 79.000 (78.510)
Epoch: [55][6270/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 1.9329 (2.0066)	Prec@1 51.500 (48.131)	Prec@5 79.000 (78.508)
Epoch: [55][6280/9018]	Time 0.622 (0.626)	Data 0.016 (0.003)	Loss 1.9196 (2.0065)	Prec@1 50.000 (48.133)	Prec@5 82.000 (78.511)
Epoch: [55][6290/9018]	Time 0.644 (0.626)	Data 0.001 (0.003)	Loss 2.0381 (2.0065)	Prec@1 49.000 (48.132)	Prec@5 81.000 (78.511)
Epoch: [55][6300/9018]	Time 0.594 (0.626)	Data 0.001 (0.003)	Loss 2.0722 (2.0065)	Prec@1 46.500 (48.132)	Prec@5 74.500 (78.510)
Epoch: [55][6310/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9957 (2.0066)	Prec@1 50.500 (48.131)	Prec@5 81.500 (78.507)
Epoch: [55][6320/9018]	Time 0.609 (0.625)	Data 0.016 (0.003)	Loss 1.9263 (2.0065)	Prec@1 45.500 (48.129)	Prec@5 81.000 (78.509)
Epoch: [55][6330/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.0538 (2.0066)	Prec@1 48.000 (48.127)	Prec@5 80.000 (78.508)
Epoch: [55][6340/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 2.1006 (2.0067)	Prec@1 50.500 (48.127)	Prec@5 77.000 (78.507)
Epoch: [55][6350/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.9899 (2.0066)	Prec@1 47.000 (48.129)	Prec@5 76.500 (78.508)
Epoch: [55][6360/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.6293 (2.0065)	Prec@1 60.500 (48.134)	Prec@5 85.500 (78.509)
Epoch: [55][6370/9018]	Time 0.623 (0.625)	Data 0.014 (0.003)	Loss 1.9400 (2.0065)	Prec@1 52.000 (48.133)	Prec@5 82.000 (78.511)
Epoch: [55][6380/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.0254 (2.0063)	Prec@1 48.000 (48.135)	Prec@5 77.500 (78.513)
Epoch: [55][6390/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.1780 (2.0064)	Prec@1 47.500 (48.134)	Prec@5 75.500 (78.512)
Epoch: [55][6400/9018]	Time 0.604 (0.625)	Data 0.016 (0.003)	Loss 2.0671 (2.0064)	Prec@1 48.000 (48.133)	Prec@5 76.500 (78.512)
Epoch: [55][6410/9018]	Time 0.607 (0.625)	Data 0.005 (0.003)	Loss 2.1395 (2.0066)	Prec@1 46.500 (48.131)	Prec@5 73.000 (78.509)
Epoch: [55][6420/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 2.0907 (2.0066)	Prec@1 46.500 (48.130)	Prec@5 77.000 (78.508)
Epoch: [55][6430/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.9850 (2.0067)	Prec@1 53.000 (48.128)	Prec@5 78.000 (78.506)
Epoch: [55][6440/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.8581 (2.0066)	Prec@1 53.000 (48.128)	Prec@5 79.500 (78.509)
Epoch: [55][6450/9018]	Time 0.740 (0.625)	Data 0.001 (0.003)	Loss 1.9314 (2.0067)	Prec@1 50.000 (48.125)	Prec@5 80.500 (78.508)
Epoch: [55][6460/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.0043 (2.0067)	Prec@1 50.000 (48.124)	Prec@5 80.500 (78.509)
Epoch: [55][6470/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 2.0921 (2.0067)	Prec@1 46.500 (48.122)	Prec@5 76.000 (78.508)
Epoch: [55][6480/9018]	Time 0.629 (0.625)	Data 0.002 (0.003)	Loss 2.2701 (2.0068)	Prec@1 43.500 (48.121)	Prec@5 74.500 (78.508)
Epoch: [55][6490/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.1787 (2.0069)	Prec@1 47.000 (48.120)	Prec@5 73.500 (78.505)
Epoch: [55][6500/9018]	Time 0.773 (0.625)	Data 0.001 (0.003)	Loss 1.9763 (2.0069)	Prec@1 49.500 (48.119)	Prec@5 76.000 (78.504)
Epoch: [55][6510/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.8272 (2.0069)	Prec@1 47.000 (48.118)	Prec@5 83.000 (78.504)
Epoch: [55][6520/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.3205 (2.0068)	Prec@1 42.500 (48.121)	Prec@5 74.500 (78.506)
Epoch: [55][6530/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.0367 (2.0069)	Prec@1 51.000 (48.120)	Prec@5 78.000 (78.505)
Epoch: [55][6540/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 2.1629 (2.0069)	Prec@1 41.500 (48.120)	Prec@5 78.500 (78.503)
Epoch: [55][6550/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.9418 (2.0069)	Prec@1 50.500 (48.118)	Prec@5 82.000 (78.505)
Epoch: [55][6560/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.1912 (2.0070)	Prec@1 44.000 (48.116)	Prec@5 74.000 (78.502)
Epoch: [55][6570/9018]	Time 0.595 (0.625)	Data 0.015 (0.003)	Loss 2.0176 (2.0069)	Prec@1 47.000 (48.115)	Prec@5 80.000 (78.505)
Epoch: [55][6580/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.9271 (2.0070)	Prec@1 49.500 (48.114)	Prec@5 79.000 (78.503)
Epoch: [55][6590/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.9673 (2.0071)	Prec@1 51.500 (48.109)	Prec@5 82.000 (78.502)
Epoch: [55][6600/9018]	Time 0.628 (0.625)	Data 0.014 (0.003)	Loss 2.0324 (2.0071)	Prec@1 41.000 (48.106)	Prec@5 80.000 (78.502)
Epoch: [55][6610/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 2.1555 (2.0071)	Prec@1 43.500 (48.106)	Prec@5 74.500 (78.504)
Epoch: [55][6620/9018]	Time 0.622 (0.625)	Data 0.003 (0.003)	Loss 1.9650 (2.0071)	Prec@1 47.000 (48.107)	Prec@5 80.500 (78.504)
Epoch: [55][6630/9018]	Time 0.610 (0.625)	Data 0.013 (0.003)	Loss 2.1918 (2.0072)	Prec@1 49.000 (48.104)	Prec@5 70.500 (78.502)
Epoch: [55][6640/9018]	Time 0.597 (0.625)	Data 0.012 (0.003)	Loss 2.0478 (2.0072)	Prec@1 45.000 (48.103)	Prec@5 77.500 (78.502)
Epoch: [55][6650/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0298 (2.0073)	Prec@1 48.000 (48.104)	Prec@5 76.000 (78.501)
Epoch: [55][6660/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 2.2274 (2.0073)	Prec@1 42.500 (48.104)	Prec@5 71.500 (78.501)
Epoch: [55][6670/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.0766 (2.0072)	Prec@1 47.500 (48.107)	Prec@5 77.000 (78.501)
Epoch: [55][6680/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.3292 (2.0073)	Prec@1 44.000 (48.106)	Prec@5 69.500 (78.500)
Epoch: [55][6690/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.1975 (2.0073)	Prec@1 41.500 (48.105)	Prec@5 80.000 (78.500)
Epoch: [55][6700/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.8854 (2.0072)	Prec@1 50.500 (48.106)	Prec@5 82.500 (78.501)
Epoch: [55][6710/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 2.3070 (2.0073)	Prec@1 44.500 (48.105)	Prec@5 74.500 (78.501)
Epoch: [55][6720/9018]	Time 0.598 (0.625)	Data 0.015 (0.003)	Loss 2.0352 (2.0073)	Prec@1 43.500 (48.105)	Prec@5 80.500 (78.503)
Epoch: [55][6730/9018]	Time 0.619 (0.625)	Data 0.005 (0.003)	Loss 2.2255 (2.0074)	Prec@1 48.000 (48.102)	Prec@5 75.000 (78.501)
Epoch: [55][6740/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.2217 (2.0075)	Prec@1 42.000 (48.101)	Prec@5 74.500 (78.501)
Epoch: [55][6750/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.4685 (2.0075)	Prec@1 37.500 (48.100)	Prec@5 70.500 (78.500)
Epoch: [55][6760/9018]	Time 0.604 (0.625)	Data 0.008 (0.003)	Loss 2.0809 (2.0076)	Prec@1 48.500 (48.098)	Prec@5 76.000 (78.501)
Epoch: [55][6770/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.2504 (2.0076)	Prec@1 47.000 (48.096)	Prec@5 72.000 (78.499)
Epoch: [55][6780/9018]	Time 0.750 (0.625)	Data 0.001 (0.003)	Loss 2.3303 (2.0078)	Prec@1 39.000 (48.094)	Prec@5 75.000 (78.496)
Epoch: [55][6790/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.0184 (2.0078)	Prec@1 47.000 (48.093)	Prec@5 75.500 (78.491)
Epoch: [55][6800/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0615 (2.0079)	Prec@1 46.500 (48.092)	Prec@5 78.500 (78.490)
Epoch: [55][6810/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.8211 (2.0079)	Prec@1 53.500 (48.091)	Prec@5 86.000 (78.491)
Epoch: [55][6820/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.9860 (2.0079)	Prec@1 48.000 (48.090)	Prec@5 80.000 (78.491)
Epoch: [55][6830/9018]	Time 0.736 (0.625)	Data 0.001 (0.003)	Loss 2.1020 (2.0079)	Prec@1 43.500 (48.090)	Prec@5 77.500 (78.491)
Epoch: [55][6840/9018]	Time 0.615 (0.625)	Data 0.016 (0.003)	Loss 1.9928 (2.0078)	Prec@1 49.500 (48.092)	Prec@5 77.000 (78.491)
Epoch: [55][6850/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.9926 (2.0079)	Prec@1 54.500 (48.090)	Prec@5 75.500 (78.487)
Epoch: [55][6860/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 1.7996 (2.0080)	Prec@1 54.000 (48.090)	Prec@5 83.000 (78.487)
Epoch: [55][6870/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 2.0946 (2.0081)	Prec@1 50.500 (48.090)	Prec@5 75.500 (78.486)
Epoch: [55][6880/9018]	Time 0.593 (0.625)	Data 0.003 (0.003)	Loss 2.0521 (2.0081)	Prec@1 49.000 (48.090)	Prec@5 78.500 (78.485)
Epoch: [55][6890/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.1577 (2.0081)	Prec@1 50.000 (48.088)	Prec@5 76.000 (78.484)
Epoch: [55][6900/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.9937 (2.0081)	Prec@1 48.000 (48.089)	Prec@5 77.000 (78.484)
Epoch: [55][6910/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8474 (2.0082)	Prec@1 54.000 (48.088)	Prec@5 79.500 (78.484)
Epoch: [55][6920/9018]	Time 0.630 (0.625)	Data 0.005 (0.003)	Loss 1.9404 (2.0082)	Prec@1 42.500 (48.087)	Prec@5 80.500 (78.484)
Epoch: [55][6930/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.7780 (2.0082)	Prec@1 54.000 (48.086)	Prec@5 86.000 (78.484)
Epoch: [55][6940/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.8850 (2.0083)	Prec@1 54.000 (48.085)	Prec@5 74.500 (78.480)
Epoch: [55][6950/9018]	Time 0.617 (0.625)	Data 0.009 (0.003)	Loss 2.0539 (2.0083)	Prec@1 48.000 (48.087)	Prec@5 77.500 (78.480)
Epoch: [55][6960/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.9707 (2.0083)	Prec@1 52.000 (48.088)	Prec@5 76.000 (78.477)
Epoch: [55][6970/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 2.0999 (2.0084)	Prec@1 46.000 (48.088)	Prec@5 76.000 (78.475)
Epoch: [55][6980/9018]	Time 0.632 (0.625)	Data 0.017 (0.003)	Loss 2.1916 (2.0084)	Prec@1 44.000 (48.087)	Prec@5 73.000 (78.474)
Epoch: [55][6990/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9219 (2.0084)	Prec@1 51.000 (48.086)	Prec@5 80.500 (78.473)
Epoch: [55][7000/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0652 (2.0084)	Prec@1 48.000 (48.085)	Prec@5 78.000 (78.475)
Epoch: [55][7010/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.1325 (2.0084)	Prec@1 46.500 (48.085)	Prec@5 79.000 (78.476)
Epoch: [55][7020/9018]	Time 0.614 (0.625)	Data 0.007 (0.003)	Loss 2.0232 (2.0084)	Prec@1 49.500 (48.085)	Prec@5 80.500 (78.476)
Epoch: [55][7030/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.9304 (2.0084)	Prec@1 48.500 (48.081)	Prec@5 79.500 (78.476)
Epoch: [55][7040/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9834 (2.0084)	Prec@1 48.000 (48.079)	Prec@5 82.500 (78.477)
Epoch: [55][7050/9018]	Time 0.632 (0.625)	Data 0.017 (0.003)	Loss 2.0566 (2.0085)	Prec@1 49.000 (48.079)	Prec@5 76.500 (78.476)
Epoch: [55][7060/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 1.9034 (2.0085)	Prec@1 47.000 (48.079)	Prec@5 80.500 (78.476)
Epoch: [55][7070/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.9450 (2.0085)	Prec@1 46.500 (48.079)	Prec@5 80.000 (78.476)
Epoch: [55][7080/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 2.0809 (2.0085)	Prec@1 44.500 (48.079)	Prec@5 77.500 (78.476)
Epoch: [55][7090/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.9177 (2.0084)	Prec@1 47.000 (48.079)	Prec@5 79.500 (78.478)
Epoch: [55][7100/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.2340 (2.0084)	Prec@1 45.000 (48.079)	Prec@5 73.500 (78.477)
Epoch: [55][7110/9018]	Time 0.739 (0.625)	Data 0.001 (0.003)	Loss 1.9611 (2.0085)	Prec@1 48.000 (48.078)	Prec@5 79.000 (78.476)
Epoch: [55][7120/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.9538 (2.0084)	Prec@1 46.000 (48.079)	Prec@5 78.500 (78.478)
Epoch: [55][7130/9018]	Time 0.644 (0.625)	Data 0.001 (0.003)	Loss 1.8731 (2.0083)	Prec@1 52.500 (48.081)	Prec@5 77.500 (78.478)
Epoch: [55][7140/9018]	Time 0.606 (0.625)	Data 0.015 (0.003)	Loss 2.1426 (2.0083)	Prec@1 47.000 (48.081)	Prec@5 76.000 (78.480)
Epoch: [55][7150/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.9786 (2.0083)	Prec@1 48.500 (48.082)	Prec@5 80.500 (78.482)
Epoch: [55][7160/9018]	Time 0.766 (0.625)	Data 0.017 (0.003)	Loss 1.8644 (2.0082)	Prec@1 48.000 (48.082)	Prec@5 77.500 (78.483)
Epoch: [55][7170/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.0885 (2.0083)	Prec@1 48.500 (48.082)	Prec@5 77.500 (78.481)
Epoch: [55][7180/9018]	Time 0.605 (0.625)	Data 0.015 (0.003)	Loss 1.8265 (2.0082)	Prec@1 47.500 (48.083)	Prec@5 82.000 (78.481)
Epoch: [55][7190/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.9409 (2.0082)	Prec@1 49.000 (48.084)	Prec@5 76.000 (78.481)
Epoch: [55][7200/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.7793 (2.0082)	Prec@1 55.000 (48.083)	Prec@5 83.000 (78.481)
Epoch: [55][7210/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.8917 (2.0083)	Prec@1 52.500 (48.084)	Prec@5 79.500 (78.480)
Epoch: [55][7220/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.1389 (2.0083)	Prec@1 42.000 (48.082)	Prec@5 76.500 (78.480)
Epoch: [55][7230/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.1045 (2.0083)	Prec@1 44.000 (48.081)	Prec@5 77.500 (78.480)
Epoch: [55][7240/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.0234 (2.0084)	Prec@1 45.500 (48.078)	Prec@5 77.500 (78.480)
Epoch: [55][7250/9018]	Time 0.647 (0.625)	Data 0.012 (0.003)	Loss 2.0437 (2.0086)	Prec@1 52.500 (48.077)	Prec@5 80.500 (78.475)
Epoch: [55][7260/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.0342 (2.0086)	Prec@1 45.000 (48.077)	Prec@5 78.000 (78.475)
Epoch: [55][7270/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.0465 (2.0086)	Prec@1 46.500 (48.076)	Prec@5 78.500 (78.476)
Epoch: [55][7280/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.1608 (2.0086)	Prec@1 45.000 (48.077)	Prec@5 75.000 (78.477)
Epoch: [55][7290/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.9766 (2.0087)	Prec@1 51.000 (48.077)	Prec@5 78.000 (78.478)
Epoch: [55][7300/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.9272 (2.0087)	Prec@1 49.500 (48.075)	Prec@5 78.000 (78.476)
Epoch: [55][7310/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.9031 (2.0088)	Prec@1 49.000 (48.073)	Prec@5 78.000 (78.476)
Epoch: [55][7320/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.2202 (2.0089)	Prec@1 46.000 (48.070)	Prec@5 74.500 (78.473)
Epoch: [55][7330/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.8885 (2.0088)	Prec@1 51.000 (48.071)	Prec@5 79.500 (78.472)
Epoch: [55][7340/9018]	Time 0.643 (0.625)	Data 0.016 (0.003)	Loss 1.9957 (2.0087)	Prec@1 44.500 (48.071)	Prec@5 81.000 (78.474)
Epoch: [55][7350/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.1296 (2.0088)	Prec@1 48.500 (48.072)	Prec@5 77.500 (78.473)
Epoch: [55][7360/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.0941 (2.0089)	Prec@1 44.500 (48.070)	Prec@5 76.500 (78.472)
Epoch: [55][7370/9018]	Time 0.607 (0.625)	Data 0.006 (0.003)	Loss 2.1147 (2.0089)	Prec@1 40.000 (48.071)	Prec@5 77.500 (78.471)
Epoch: [55][7380/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.1337 (2.0089)	Prec@1 44.000 (48.069)	Prec@5 76.500 (78.472)
Epoch: [55][7390/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.1322 (2.0089)	Prec@1 41.000 (48.069)	Prec@5 76.000 (78.472)
Epoch: [55][7400/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.0109 (2.0089)	Prec@1 44.000 (48.068)	Prec@5 79.500 (78.472)
Epoch: [55][7410/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.1173 (2.0090)	Prec@1 48.500 (48.066)	Prec@5 77.000 (78.470)
Epoch: [55][7420/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.1208 (2.0091)	Prec@1 46.000 (48.065)	Prec@5 77.000 (78.469)
Epoch: [55][7430/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 2.1294 (2.0091)	Prec@1 45.000 (48.065)	Prec@5 78.000 (78.469)
Epoch: [55][7440/9018]	Time 0.720 (0.625)	Data 0.001 (0.003)	Loss 1.9064 (2.0091)	Prec@1 57.500 (48.067)	Prec@5 78.000 (78.470)
Epoch: [55][7450/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.1070 (2.0092)	Prec@1 50.000 (48.064)	Prec@5 75.000 (78.468)
Epoch: [55][7460/9018]	Time 0.618 (0.625)	Data 0.029 (0.003)	Loss 1.9181 (2.0092)	Prec@1 50.000 (48.063)	Prec@5 79.000 (78.470)
Epoch: [55][7470/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.3700 (2.0093)	Prec@1 39.000 (48.062)	Prec@5 74.000 (78.471)
Epoch: [55][7480/9018]	Time 0.625 (0.625)	Data 0.015 (0.003)	Loss 2.0816 (2.0093)	Prec@1 45.500 (48.061)	Prec@5 80.000 (78.470)
Epoch: [55][7490/9018]	Time 0.760 (0.625)	Data 0.010 (0.003)	Loss 1.7962 (2.0093)	Prec@1 51.000 (48.061)	Prec@5 85.000 (78.471)
Epoch: [55][7500/9018]	Time 0.650 (0.625)	Data 0.002 (0.003)	Loss 2.2286 (2.0094)	Prec@1 43.000 (48.062)	Prec@5 73.500 (78.470)
Epoch: [55][7510/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.2216 (2.0093)	Prec@1 44.000 (48.060)	Prec@5 73.500 (78.471)
Epoch: [55][7520/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 2.0459 (2.0094)	Prec@1 46.500 (48.059)	Prec@5 77.000 (78.472)
Epoch: [55][7530/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.1125 (2.0093)	Prec@1 44.000 (48.058)	Prec@5 76.500 (78.474)
Epoch: [55][7540/9018]	Time 0.601 (0.625)	Data 0.012 (0.003)	Loss 2.0288 (2.0092)	Prec@1 44.500 (48.060)	Prec@5 79.000 (78.475)
Epoch: [55][7550/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.9399 (2.0092)	Prec@1 49.000 (48.059)	Prec@5 79.500 (78.475)
Epoch: [55][7560/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 2.0954 (2.0092)	Prec@1 47.000 (48.060)	Prec@5 74.500 (78.477)
Epoch: [55][7570/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9045 (2.0092)	Prec@1 51.000 (48.058)	Prec@5 82.000 (78.477)
Epoch: [55][7580/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.9169 (2.0092)	Prec@1 49.000 (48.058)	Prec@5 78.500 (78.479)
Epoch: [55][7590/9018]	Time 0.647 (0.625)	Data 0.007 (0.003)	Loss 1.8283 (2.0092)	Prec@1 52.000 (48.057)	Prec@5 82.500 (78.479)
Epoch: [55][7600/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 2.1681 (2.0092)	Prec@1 50.000 (48.058)	Prec@5 75.500 (78.478)
Epoch: [55][7610/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.1299 (2.0093)	Prec@1 42.500 (48.055)	Prec@5 75.500 (78.476)
Epoch: [55][7620/9018]	Time 0.642 (0.625)	Data 0.001 (0.003)	Loss 1.8991 (2.0092)	Prec@1 50.500 (48.058)	Prec@5 80.500 (78.479)
Epoch: [55][7630/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.8880 (2.0092)	Prec@1 53.500 (48.059)	Prec@5 79.000 (78.479)
Epoch: [55][7640/9018]	Time 0.635 (0.625)	Data 0.014 (0.003)	Loss 1.8151 (2.0091)	Prec@1 46.500 (48.058)	Prec@5 81.500 (78.481)
Epoch: [55][7650/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.8623 (2.0091)	Prec@1 53.500 (48.058)	Prec@5 81.000 (78.481)
Epoch: [55][7660/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.9918 (2.0092)	Prec@1 49.500 (48.058)	Prec@5 82.000 (78.480)
Epoch: [55][7670/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.9812 (2.0093)	Prec@1 52.500 (48.056)	Prec@5 76.000 (78.479)
Epoch: [55][7680/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.8929 (2.0093)	Prec@1 52.500 (48.056)	Prec@5 83.000 (78.478)
Epoch: [55][7690/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9548 (2.0093)	Prec@1 48.000 (48.055)	Prec@5 80.500 (78.478)
Epoch: [55][7700/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.8539 (2.0094)	Prec@1 51.000 (48.052)	Prec@5 81.000 (78.477)
Epoch: [55][7710/9018]	Time 0.593 (0.625)	Data 0.002 (0.003)	Loss 2.1917 (2.0094)	Prec@1 44.500 (48.050)	Prec@5 76.500 (78.476)
Epoch: [55][7720/9018]	Time 0.645 (0.625)	Data 0.001 (0.003)	Loss 1.7853 (2.0094)	Prec@1 53.000 (48.051)	Prec@5 81.500 (78.477)
Epoch: [55][7730/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.9315 (2.0094)	Prec@1 47.000 (48.052)	Prec@5 83.500 (78.479)
Epoch: [55][7740/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 2.1253 (2.0093)	Prec@1 50.500 (48.054)	Prec@5 75.500 (78.479)
Epoch: [55][7750/9018]	Time 0.591 (0.625)	Data 0.002 (0.003)	Loss 1.8984 (2.0094)	Prec@1 48.500 (48.054)	Prec@5 78.000 (78.478)
Epoch: [55][7760/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.0245 (2.0094)	Prec@1 47.000 (48.055)	Prec@5 81.000 (78.478)
Epoch: [55][7770/9018]	Time 0.753 (0.625)	Data 0.001 (0.003)	Loss 2.2113 (2.0094)	Prec@1 42.500 (48.054)	Prec@5 77.500 (78.477)
Epoch: [55][7780/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.0910 (2.0094)	Prec@1 43.500 (48.055)	Prec@5 78.000 (78.478)
Epoch: [55][7790/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.9671 (2.0094)	Prec@1 52.500 (48.054)	Prec@5 78.000 (78.478)
Epoch: [55][7800/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 2.1174 (2.0094)	Prec@1 47.500 (48.054)	Prec@5 78.000 (78.479)
Epoch: [55][7810/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.2231 (2.0094)	Prec@1 41.500 (48.054)	Prec@5 76.000 (78.480)
Epoch: [55][7820/9018]	Time 0.788 (0.625)	Data 0.001 (0.003)	Loss 1.8984 (2.0095)	Prec@1 48.000 (48.054)	Prec@5 78.000 (78.479)
Epoch: [55][7830/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.9853 (2.0096)	Prec@1 47.000 (48.051)	Prec@5 77.500 (78.477)
Epoch: [55][7840/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.9620 (2.0096)	Prec@1 47.000 (48.051)	Prec@5 80.000 (78.478)
Epoch: [55][7850/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.0458 (2.0096)	Prec@1 49.000 (48.051)	Prec@5 77.000 (78.477)
Epoch: [55][7860/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.0411 (2.0096)	Prec@1 46.500 (48.050)	Prec@5 77.500 (78.476)
Epoch: [55][7870/9018]	Time 0.624 (0.625)	Data 0.002 (0.003)	Loss 1.9188 (2.0096)	Prec@1 50.000 (48.050)	Prec@5 80.500 (78.476)
Epoch: [55][7880/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.9462 (2.0097)	Prec@1 47.500 (48.048)	Prec@5 82.500 (78.475)
Epoch: [55][7890/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0477 (2.0097)	Prec@1 46.500 (48.047)	Prec@5 79.500 (78.474)
Epoch: [55][7900/9018]	Time 0.648 (0.625)	Data 0.001 (0.003)	Loss 1.9448 (2.0097)	Prec@1 52.000 (48.048)	Prec@5 82.000 (78.474)
Epoch: [55][7910/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.1223 (2.0097)	Prec@1 42.500 (48.047)	Prec@5 77.000 (78.472)
Epoch: [55][7920/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.7958 (2.0097)	Prec@1 50.500 (48.048)	Prec@5 86.000 (78.474)
Epoch: [55][7930/9018]	Time 0.604 (0.625)	Data 0.014 (0.003)	Loss 1.9043 (2.0097)	Prec@1 54.000 (48.048)	Prec@5 81.000 (78.473)
Epoch: [55][7940/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.0172 (2.0097)	Prec@1 44.000 (48.047)	Prec@5 78.500 (78.473)
Epoch: [55][7950/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.3364 (2.0098)	Prec@1 42.000 (48.045)	Prec@5 72.000 (78.473)
Epoch: [55][7960/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 2.0718 (2.0097)	Prec@1 44.500 (48.047)	Prec@5 78.500 (78.473)
Epoch: [55][7970/9018]	Time 0.646 (0.625)	Data 0.012 (0.003)	Loss 1.9628 (2.0098)	Prec@1 52.000 (48.045)	Prec@5 75.500 (78.472)
Epoch: [55][7980/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.1558 (2.0098)	Prec@1 45.000 (48.045)	Prec@5 75.000 (78.471)
Epoch: [55][7990/9018]	Time 0.604 (0.625)	Data 0.012 (0.003)	Loss 2.0891 (2.0098)	Prec@1 44.000 (48.046)	Prec@5 78.000 (78.471)
Epoch: [55][8000/9018]	Time 0.620 (0.625)	Data 0.002 (0.003)	Loss 1.9377 (2.0098)	Prec@1 53.500 (48.045)	Prec@5 78.000 (78.470)
Epoch: [55][8010/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.1091 (2.0099)	Prec@1 48.000 (48.044)	Prec@5 79.000 (78.468)
Epoch: [55][8020/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.2283 (2.0098)	Prec@1 39.000 (48.045)	Prec@5 76.000 (78.469)
Epoch: [55][8030/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0297 (2.0099)	Prec@1 51.000 (48.045)	Prec@5 80.000 (78.469)
Epoch: [55][8040/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.9877 (2.0099)	Prec@1 47.000 (48.044)	Prec@5 80.500 (78.470)
Epoch: [55][8050/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.9177 (2.0098)	Prec@1 50.000 (48.045)	Prec@5 78.500 (78.470)
Epoch: [55][8060/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.9759 (2.0098)	Prec@1 48.500 (48.045)	Prec@5 81.500 (78.471)
Epoch: [55][8070/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.9296 (2.0098)	Prec@1 50.000 (48.045)	Prec@5 80.500 (78.472)
Epoch: [55][8080/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 2.2055 (2.0098)	Prec@1 46.500 (48.046)	Prec@5 73.500 (78.472)
Epoch: [55][8090/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.9015 (2.0098)	Prec@1 50.500 (48.046)	Prec@5 80.000 (78.471)
Epoch: [55][8100/9018]	Time 0.781 (0.625)	Data 0.001 (0.003)	Loss 2.1875 (2.0099)	Prec@1 46.500 (48.045)	Prec@5 73.000 (78.470)
Epoch: [55][8110/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.8785 (2.0099)	Prec@1 47.500 (48.044)	Prec@5 81.500 (78.470)
Epoch: [55][8120/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.3485 (2.0099)	Prec@1 44.500 (48.045)	Prec@5 72.000 (78.470)
Epoch: [55][8130/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.8573 (2.0099)	Prec@1 51.000 (48.046)	Prec@5 82.000 (78.471)
Epoch: [55][8140/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 1.7978 (2.0099)	Prec@1 55.000 (48.046)	Prec@5 78.000 (78.471)
Epoch: [55][8150/9018]	Time 0.736 (0.625)	Data 0.007 (0.003)	Loss 2.0204 (2.0099)	Prec@1 49.000 (48.046)	Prec@5 80.000 (78.470)
Epoch: [55][8160/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.0391 (2.0099)	Prec@1 48.000 (48.045)	Prec@5 80.500 (78.471)
Epoch: [55][8170/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.1804 (2.0099)	Prec@1 46.500 (48.044)	Prec@5 75.000 (78.470)
Epoch: [55][8180/9018]	Time 0.655 (0.625)	Data 0.001 (0.003)	Loss 2.2666 (2.0099)	Prec@1 46.500 (48.045)	Prec@5 75.000 (78.471)
Epoch: [55][8190/9018]	Time 0.608 (0.625)	Data 0.014 (0.003)	Loss 1.8705 (2.0099)	Prec@1 52.000 (48.047)	Prec@5 80.500 (78.470)
Epoch: [55][8200/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9361 (2.0099)	Prec@1 46.500 (48.048)	Prec@5 83.000 (78.472)
Epoch: [55][8210/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.9835 (2.0100)	Prec@1 50.000 (48.045)	Prec@5 78.000 (78.470)
Epoch: [55][8220/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.8793 (2.0099)	Prec@1 48.000 (48.047)	Prec@5 82.000 (78.472)
Epoch: [55][8230/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.0280 (2.0099)	Prec@1 50.000 (48.047)	Prec@5 77.500 (78.471)
Epoch: [55][8240/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.3981 (2.0100)	Prec@1 39.000 (48.045)	Prec@5 71.500 (78.469)
Epoch: [55][8250/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.9583 (2.0100)	Prec@1 48.000 (48.044)	Prec@5 78.500 (78.469)
Epoch: [55][8260/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.1234 (2.0100)	Prec@1 45.000 (48.044)	Prec@5 74.000 (78.470)
Epoch: [55][8270/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.9026 (2.0099)	Prec@1 47.500 (48.045)	Prec@5 80.000 (78.470)
Epoch: [55][8280/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 2.1386 (2.0100)	Prec@1 46.000 (48.044)	Prec@5 77.500 (78.470)
Epoch: [55][8290/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.0213 (2.0099)	Prec@1 47.000 (48.045)	Prec@5 80.500 (78.471)
Epoch: [55][8300/9018]	Time 0.621 (0.625)	Data 0.005 (0.003)	Loss 2.0359 (2.0100)	Prec@1 49.500 (48.044)	Prec@5 77.000 (78.470)
Epoch: [55][8310/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.0380 (2.0099)	Prec@1 49.000 (48.044)	Prec@5 80.000 (78.470)
Epoch: [55][8320/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.0386 (2.0100)	Prec@1 44.500 (48.043)	Prec@5 77.500 (78.469)
Epoch: [55][8330/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.1546 (2.0101)	Prec@1 48.000 (48.042)	Prec@5 74.500 (78.468)
Epoch: [55][8340/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9906 (2.0101)	Prec@1 47.500 (48.042)	Prec@5 77.000 (78.467)
Epoch: [55][8350/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.8781 (2.0100)	Prec@1 50.500 (48.044)	Prec@5 81.500 (78.469)
Epoch: [55][8360/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.3015 (2.0101)	Prec@1 40.000 (48.041)	Prec@5 71.500 (78.468)
Epoch: [55][8370/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.7866 (2.0101)	Prec@1 50.000 (48.042)	Prec@5 83.500 (78.470)
Epoch: [55][8380/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.8881 (2.0101)	Prec@1 50.000 (48.041)	Prec@5 77.500 (78.470)
Epoch: [55][8390/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.7689 (2.0100)	Prec@1 53.000 (48.041)	Prec@5 83.000 (78.471)
Epoch: [55][8400/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.7748 (2.0101)	Prec@1 49.000 (48.041)	Prec@5 84.500 (78.470)
Epoch: [55][8410/9018]	Time 0.612 (0.625)	Data 0.002 (0.003)	Loss 1.9160 (2.0101)	Prec@1 51.500 (48.041)	Prec@5 80.000 (78.469)
Epoch: [55][8420/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.7992 (2.0100)	Prec@1 49.500 (48.042)	Prec@5 84.000 (78.471)
Epoch: [55][8430/9018]	Time 0.755 (0.625)	Data 0.001 (0.003)	Loss 2.0245 (2.0101)	Prec@1 49.500 (48.041)	Prec@5 77.000 (78.470)
Epoch: [55][8440/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.9573 (2.0101)	Prec@1 53.000 (48.039)	Prec@5 78.000 (78.468)
Epoch: [55][8450/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.9196 (2.0101)	Prec@1 51.000 (48.038)	Prec@5 78.500 (78.469)
Epoch: [55][8460/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9389 (2.0101)	Prec@1 50.000 (48.037)	Prec@5 80.500 (78.469)
Epoch: [55][8470/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8606 (2.0102)	Prec@1 50.000 (48.037)	Prec@5 80.000 (78.468)
Epoch: [55][8480/9018]	Time 0.737 (0.625)	Data 0.001 (0.003)	Loss 1.8021 (2.0102)	Prec@1 54.000 (48.035)	Prec@5 84.000 (78.468)
Epoch: [55][8490/9018]	Time 0.655 (0.625)	Data 0.001 (0.003)	Loss 2.1034 (2.0102)	Prec@1 48.000 (48.036)	Prec@5 77.000 (78.467)
Epoch: [55][8500/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.9546 (2.0103)	Prec@1 49.000 (48.035)	Prec@5 81.500 (78.468)
Epoch: [55][8510/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 2.0066 (2.0103)	Prec@1 46.000 (48.035)	Prec@5 83.000 (78.467)
Epoch: [55][8520/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.0065 (2.0104)	Prec@1 50.500 (48.035)	Prec@5 82.000 (78.466)
Epoch: [55][8530/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 2.0865 (2.0103)	Prec@1 43.500 (48.035)	Prec@5 78.500 (78.468)
Epoch: [55][8540/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 1.9824 (2.0103)	Prec@1 46.500 (48.033)	Prec@5 82.000 (78.468)
Epoch: [55][8550/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.1478 (2.0103)	Prec@1 46.000 (48.033)	Prec@5 77.000 (78.468)
Epoch: [55][8560/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0701 (2.0103)	Prec@1 44.500 (48.034)	Prec@5 79.500 (78.469)
Epoch: [55][8570/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9866 (2.0103)	Prec@1 46.000 (48.034)	Prec@5 79.000 (78.470)
Epoch: [55][8580/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.8568 (2.0103)	Prec@1 54.000 (48.034)	Prec@5 81.000 (78.470)
Epoch: [55][8590/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.2120 (2.0103)	Prec@1 47.000 (48.035)	Prec@5 76.500 (78.470)
Epoch: [55][8600/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.1099 (2.0104)	Prec@1 47.500 (48.034)	Prec@5 72.000 (78.467)
Epoch: [55][8610/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.2906 (2.0104)	Prec@1 41.000 (48.032)	Prec@5 73.000 (78.467)
Epoch: [55][8620/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8164 (2.0104)	Prec@1 53.500 (48.032)	Prec@5 82.000 (78.467)
Epoch: [55][8630/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8808 (2.0105)	Prec@1 51.500 (48.031)	Prec@5 83.000 (78.466)
Epoch: [55][8640/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.2173 (2.0105)	Prec@1 39.500 (48.029)	Prec@5 75.000 (78.467)
Epoch: [55][8650/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.7795 (2.0105)	Prec@1 48.000 (48.028)	Prec@5 81.500 (78.466)
Epoch: [55][8660/9018]	Time 0.650 (0.625)	Data 0.001 (0.003)	Loss 2.2716 (2.0105)	Prec@1 45.500 (48.028)	Prec@5 70.500 (78.466)
Epoch: [55][8670/9018]	Time 0.627 (0.625)	Data 0.006 (0.003)	Loss 1.8291 (2.0105)	Prec@1 49.000 (48.027)	Prec@5 82.500 (78.465)
Epoch: [55][8680/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.7967 (2.0105)	Prec@1 52.000 (48.029)	Prec@5 81.000 (78.464)
Epoch: [55][8690/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.7488 (2.0104)	Prec@1 50.000 (48.030)	Prec@5 83.500 (78.466)
Epoch: [55][8700/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.9722 (2.0105)	Prec@1 47.500 (48.029)	Prec@5 80.000 (78.464)
Epoch: [55][8710/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0994 (2.0105)	Prec@1 46.500 (48.028)	Prec@5 77.000 (78.465)
Epoch: [55][8720/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.2889 (2.0105)	Prec@1 45.000 (48.028)	Prec@5 72.500 (78.465)
Epoch: [55][8730/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0757 (2.0106)	Prec@1 46.500 (48.028)	Prec@5 77.500 (78.464)
Epoch: [55][8740/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 2.0153 (2.0105)	Prec@1 50.000 (48.028)	Prec@5 78.500 (78.464)
Epoch: [55][8750/9018]	Time 0.645 (0.625)	Data 0.001 (0.003)	Loss 1.9833 (2.0106)	Prec@1 47.500 (48.025)	Prec@5 76.000 (78.463)
Epoch: [55][8760/9018]	Time 0.792 (0.625)	Data 0.016 (0.003)	Loss 1.9547 (2.0106)	Prec@1 47.500 (48.024)	Prec@5 79.500 (78.463)
Epoch: [55][8770/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.2538 (2.0106)	Prec@1 41.500 (48.024)	Prec@5 76.500 (78.463)
Epoch: [55][8780/9018]	Time 0.649 (0.625)	Data 0.001 (0.003)	Loss 2.0280 (2.0107)	Prec@1 47.000 (48.023)	Prec@5 75.000 (78.460)
Epoch: [55][8790/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.8921 (2.0106)	Prec@1 44.000 (48.022)	Prec@5 78.000 (78.461)
Epoch: [55][8800/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.8931 (2.0106)	Prec@1 52.500 (48.021)	Prec@5 79.500 (78.460)
Epoch: [55][8810/9018]	Time 0.770 (0.625)	Data 0.001 (0.003)	Loss 2.1265 (2.0106)	Prec@1 45.000 (48.020)	Prec@5 78.500 (78.461)
Epoch: [55][8820/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 2.2312 (2.0106)	Prec@1 40.500 (48.021)	Prec@5 72.000 (78.461)
Epoch: [55][8830/9018]	Time 0.615 (0.625)	Data 0.013 (0.003)	Loss 2.2422 (2.0107)	Prec@1 44.500 (48.020)	Prec@5 74.500 (78.460)
Epoch: [55][8840/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.9710 (2.0106)	Prec@1 50.500 (48.020)	Prec@5 74.500 (78.460)
Epoch: [55][8850/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.7516 (2.0107)	Prec@1 55.000 (48.020)	Prec@5 83.500 (78.460)
Epoch: [55][8860/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 2.0468 (2.0107)	Prec@1 48.000 (48.019)	Prec@5 76.500 (78.459)
Epoch: [55][8870/9018]	Time 0.622 (0.625)	Data 0.002 (0.003)	Loss 1.9781 (2.0107)	Prec@1 48.000 (48.019)	Prec@5 77.000 (78.459)
Epoch: [55][8880/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.9708 (2.0106)	Prec@1 49.500 (48.021)	Prec@5 75.500 (78.460)
Epoch: [55][8890/9018]	Time 0.598 (0.625)	Data 0.007 (0.003)	Loss 1.9261 (2.0106)	Prec@1 47.000 (48.019)	Prec@5 80.000 (78.460)
Epoch: [55][8900/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.9034 (2.0106)	Prec@1 48.000 (48.019)	Prec@5 81.000 (78.459)
Epoch: [55][8910/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.0318 (2.0106)	Prec@1 47.500 (48.017)	Prec@5 78.000 (78.459)
Epoch: [55][8920/9018]	Time 0.621 (0.625)	Data 0.002 (0.003)	Loss 2.1401 (2.0107)	Prec@1 45.000 (48.014)	Prec@5 78.000 (78.458)
Epoch: [55][8930/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.8239 (2.0107)	Prec@1 52.000 (48.016)	Prec@5 82.500 (78.458)
Epoch: [55][8940/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.1333 (2.0106)	Prec@1 41.500 (48.017)	Prec@5 77.000 (78.459)
Epoch: [55][8950/9018]	Time 0.669 (0.625)	Data 0.001 (0.003)	Loss 1.6995 (2.0105)	Prec@1 50.000 (48.019)	Prec@5 85.500 (78.460)
Epoch: [55][8960/9018]	Time 0.631 (0.625)	Data 0.013 (0.003)	Loss 2.3619 (2.0106)	Prec@1 43.500 (48.018)	Prec@5 71.000 (78.458)
Epoch: [55][8970/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.0400 (2.0105)	Prec@1 44.500 (48.019)	Prec@5 81.000 (78.458)
Epoch: [55][8980/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 1.8466 (2.0105)	Prec@1 51.000 (48.018)	Prec@5 84.000 (78.460)
Epoch: [55][8990/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0653 (2.0106)	Prec@1 49.000 (48.018)	Prec@5 77.500 (78.459)
Epoch: [55][9000/9018]	Time 0.643 (0.625)	Data 0.001 (0.003)	Loss 2.1082 (2.0106)	Prec@1 47.000 (48.018)	Prec@5 79.000 (78.459)
Epoch: [55][9010/9018]	Time 0.621 (0.625)	Data 0.000 (0.003)	Loss 2.1501 (2.0107)	Prec@1 45.000 (48.015)	Prec@5 77.000 (78.459)
Test: [0/183]	Time 1.861 (1.861)	Loss 2.7593 (2.7593)	Prec@1 29.000 (29.000)	Prec@5 66.000 (66.000)
Test: [10/183]	Time 0.222 (0.370)	Loss 1.8018 (1.7556)	Prec@1 56.000 (53.955)	Prec@5 84.500 (84.045)
Test: [20/183]	Time 0.209 (0.293)	Loss 1.9714 (1.7670)	Prec@1 47.500 (53.286)	Prec@5 78.000 (83.524)
Test: [30/183]	Time 0.222 (0.266)	Loss 2.6979 (1.7783)	Prec@1 24.000 (52.645)	Prec@5 67.000 (83.371)
Test: [40/183]	Time 0.216 (0.253)	Loss 2.5040 (1.7777)	Prec@1 31.500 (52.744)	Prec@5 72.500 (82.939)
Test: [50/183]	Time 0.181 (0.243)	Loss 1.7179 (1.7524)	Prec@1 49.000 (53.039)	Prec@5 85.000 (83.284)
Test: [60/183]	Time 0.177 (0.239)	Loss 2.2487 (1.8057)	Prec@1 41.500 (51.484)	Prec@5 77.500 (82.697)
Test: [70/183]	Time 0.199 (0.234)	Loss 1.8820 (1.7975)	Prec@1 48.000 (51.282)	Prec@5 81.500 (83.028)
Test: [80/183]	Time 0.206 (0.231)	Loss 1.4027 (1.7758)	Prec@1 58.000 (51.691)	Prec@5 91.000 (83.222)
Test: [90/183]	Time 0.221 (0.229)	Loss 2.5067 (1.7678)	Prec@1 32.000 (51.978)	Prec@5 70.500 (83.297)
Test: [100/183]	Time 0.197 (0.226)	Loss 0.9202 (1.7610)	Prec@1 73.000 (52.084)	Prec@5 95.000 (83.495)
Test: [110/183]	Time 0.218 (0.225)	Loss 0.7968 (1.7649)	Prec@1 77.000 (51.955)	Prec@5 96.000 (83.477)
Test: [120/183]	Time 0.195 (0.223)	Loss 2.2227 (1.7729)	Prec@1 39.000 (51.793)	Prec@5 72.000 (83.264)
Test: [130/183]	Time 0.204 (0.223)	Loss 3.0888 (1.7858)	Prec@1 16.000 (51.401)	Prec@5 64.000 (83.179)
Test: [140/183]	Time 0.211 (0.221)	Loss 1.4445 (1.7777)	Prec@1 63.000 (51.649)	Prec@5 86.000 (83.312)
Test: [150/183]	Time 0.188 (0.220)	Loss 0.8057 (1.7745)	Prec@1 75.500 (51.821)	Prec@5 95.500 (83.341)
Test: [160/183]	Time 0.197 (0.219)	Loss 1.7796 (1.7713)	Prec@1 49.500 (51.981)	Prec@5 80.500 (83.311)
Test: [170/183]	Time 0.222 (0.218)	Loss 1.9555 (1.7850)	Prec@1 41.500 (51.675)	Prec@5 86.000 (83.079)
Test: [180/183]	Time 0.200 (0.218)	Loss 1.8135 (1.7918)	Prec@1 53.000 (51.633)	Prec@5 84.500 (82.936)
 * Prec@1 51.625 Prec@5 82.929
Epoch: [56][0/9018]	Time 3.336 (3.336)	Data 2.699 (2.699)	Loss 2.0514 (2.0514)	Prec@1 49.000 (49.000)	Prec@5 75.500 (75.500)
Epoch: [56][10/9018]	Time 0.605 (0.878)	Data 0.001 (0.246)	Loss 1.6973 (1.9551)	Prec@1 54.000 (48.955)	Prec@5 80.500 (78.409)
Epoch: [56][20/9018]	Time 0.604 (0.751)	Data 0.001 (0.132)	Loss 2.2495 (1.9599)	Prec@1 46.000 (49.024)	Prec@5 76.500 (79.238)
Epoch: [56][30/9018]	Time 0.634 (0.709)	Data 0.001 (0.090)	Loss 1.8793 (1.9769)	Prec@1 50.000 (48.452)	Prec@5 81.000 (79.226)
Epoch: [56][40/9018]	Time 0.622 (0.688)	Data 0.001 (0.069)	Loss 2.0499 (1.9835)	Prec@1 48.500 (48.354)	Prec@5 80.000 (79.024)
Epoch: [56][50/9018]	Time 0.609 (0.672)	Data 0.001 (0.056)	Loss 1.7834 (1.9791)	Prec@1 49.500 (48.431)	Prec@5 80.500 (79.049)
Epoch: [56][60/9018]	Time 0.619 (0.667)	Data 0.003 (0.047)	Loss 1.9658 (1.9665)	Prec@1 47.000 (48.623)	Prec@5 78.000 (79.320)
Epoch: [56][70/9018]	Time 0.601 (0.659)	Data 0.001 (0.041)	Loss 1.6950 (1.9686)	Prec@1 56.500 (48.585)	Prec@5 84.000 (79.254)
Epoch: [56][80/9018]	Time 0.613 (0.656)	Data 0.001 (0.036)	Loss 1.9675 (1.9749)	Prec@1 51.000 (48.611)	Prec@5 79.000 (79.037)
Epoch: [56][90/9018]	Time 0.624 (0.653)	Data 0.008 (0.032)	Loss 2.0628 (1.9725)	Prec@1 47.000 (48.736)	Prec@5 80.500 (79.011)
Epoch: [56][100/9018]	Time 0.603 (0.650)	Data 0.001 (0.029)	Loss 1.8712 (1.9644)	Prec@1 51.000 (48.960)	Prec@5 80.500 (79.188)
Epoch: [56][110/9018]	Time 0.613 (0.648)	Data 0.001 (0.027)	Loss 1.8878 (1.9684)	Prec@1 50.500 (48.829)	Prec@5 81.000 (79.063)
Epoch: [56][120/9018]	Time 0.612 (0.645)	Data 0.003 (0.025)	Loss 1.8470 (1.9699)	Prec@1 53.000 (48.744)	Prec@5 80.000 (78.975)
Epoch: [56][130/9018]	Time 0.630 (0.644)	Data 0.001 (0.023)	Loss 1.9911 (1.9708)	Prec@1 50.500 (48.786)	Prec@5 76.500 (78.958)
Epoch: [56][140/9018]	Time 0.630 (0.643)	Data 0.001 (0.022)	Loss 1.9426 (1.9729)	Prec@1 49.500 (48.727)	Prec@5 78.000 (78.950)
Epoch: [56][150/9018]	Time 0.595 (0.641)	Data 0.001 (0.020)	Loss 1.8421 (1.9748)	Prec@1 54.500 (48.695)	Prec@5 80.000 (78.921)
Epoch: [56][160/9018]	Time 0.605 (0.641)	Data 0.001 (0.019)	Loss 1.9989 (1.9770)	Prec@1 46.000 (48.615)	Prec@5 79.000 (78.994)
Epoch: [56][170/9018]	Time 0.749 (0.640)	Data 0.003 (0.018)	Loss 1.9154 (1.9820)	Prec@1 47.500 (48.526)	Prec@5 81.000 (78.912)
Epoch: [56][180/9018]	Time 0.617 (0.639)	Data 0.001 (0.017)	Loss 2.1064 (1.9822)	Prec@1 48.000 (48.530)	Prec@5 78.500 (78.945)
Epoch: [56][190/9018]	Time 0.638 (0.639)	Data 0.001 (0.017)	Loss 1.8530 (1.9826)	Prec@1 49.000 (48.531)	Prec@5 83.500 (78.887)
Epoch: [56][200/9018]	Time 0.625 (0.637)	Data 0.001 (0.016)	Loss 2.0176 (1.9817)	Prec@1 51.000 (48.612)	Prec@5 81.500 (78.893)
Epoch: [56][210/9018]	Time 0.622 (0.637)	Data 0.001 (0.015)	Loss 1.8274 (1.9816)	Prec@1 53.000 (48.637)	Prec@5 83.000 (78.915)
Epoch: [56][220/9018]	Time 0.753 (0.637)	Data 0.001 (0.015)	Loss 1.8408 (1.9824)	Prec@1 51.500 (48.590)	Prec@5 83.000 (78.957)
Epoch: [56][230/9018]	Time 0.630 (0.635)	Data 0.001 (0.014)	Loss 2.0771 (1.9839)	Prec@1 46.000 (48.569)	Prec@5 77.500 (78.926)
Epoch: [56][240/9018]	Time 0.592 (0.635)	Data 0.001 (0.014)	Loss 1.9403 (1.9826)	Prec@1 46.500 (48.598)	Prec@5 78.500 (78.950)
Epoch: [56][250/9018]	Time 0.612 (0.634)	Data 0.001 (0.013)	Loss 2.0378 (1.9811)	Prec@1 49.000 (48.627)	Prec@5 77.500 (78.986)
Epoch: [56][260/9018]	Time 0.638 (0.634)	Data 0.001 (0.013)	Loss 2.1079 (1.9821)	Prec@1 48.000 (48.615)	Prec@5 76.000 (78.935)
Epoch: [56][270/9018]	Time 0.603 (0.634)	Data 0.001 (0.012)	Loss 1.9265 (1.9802)	Prec@1 52.500 (48.616)	Prec@5 80.500 (78.994)
Epoch: [56][280/9018]	Time 0.636 (0.633)	Data 0.001 (0.012)	Loss 1.9549 (1.9781)	Prec@1 50.500 (48.662)	Prec@5 80.000 (79.018)
Epoch: [56][290/9018]	Time 0.625 (0.633)	Data 0.001 (0.012)	Loss 2.0451 (1.9778)	Prec@1 48.500 (48.662)	Prec@5 79.000 (79.031)
Epoch: [56][300/9018]	Time 0.605 (0.633)	Data 0.001 (0.012)	Loss 1.8932 (1.9772)	Prec@1 53.500 (48.696)	Prec@5 84.000 (79.063)
Epoch: [56][310/9018]	Time 0.597 (0.632)	Data 0.001 (0.011)	Loss 2.0870 (1.9781)	Prec@1 49.000 (48.715)	Prec@5 76.000 (79.039)
Epoch: [56][320/9018]	Time 0.612 (0.632)	Data 0.001 (0.011)	Loss 1.7810 (1.9767)	Prec@1 53.500 (48.755)	Prec@5 83.000 (79.045)
Epoch: [56][330/9018]	Time 0.602 (0.632)	Data 0.001 (0.011)	Loss 2.0438 (1.9778)	Prec@1 50.000 (48.772)	Prec@5 79.500 (79.029)
Epoch: [56][340/9018]	Time 0.605 (0.632)	Data 0.007 (0.011)	Loss 1.8569 (1.9783)	Prec@1 50.000 (48.730)	Prec@5 78.500 (79.004)
Epoch: [56][350/9018]	Time 0.617 (0.631)	Data 0.001 (0.010)	Loss 2.2118 (1.9793)	Prec@1 45.000 (48.692)	Prec@5 77.500 (78.991)
Epoch: [56][360/9018]	Time 0.616 (0.631)	Data 0.001 (0.010)	Loss 1.7887 (1.9792)	Prec@1 53.000 (48.670)	Prec@5 80.500 (78.996)
Epoch: [56][370/9018]	Time 0.627 (0.631)	Data 0.001 (0.010)	Loss 1.8759 (1.9783)	Prec@1 49.000 (48.677)	Prec@5 83.500 (79.055)
Epoch: [56][380/9018]	Time 0.614 (0.631)	Data 0.015 (0.010)	Loss 1.9606 (1.9797)	Prec@1 46.500 (48.668)	Prec@5 79.500 (79.014)
Epoch: [56][390/9018]	Time 0.628 (0.631)	Data 0.001 (0.010)	Loss 1.7473 (1.9791)	Prec@1 55.000 (48.671)	Prec@5 81.000 (79.032)
Epoch: [56][400/9018]	Time 0.619 (0.630)	Data 0.001 (0.009)	Loss 2.0520 (1.9806)	Prec@1 42.000 (48.671)	Prec@5 76.500 (79.021)
Epoch: [56][410/9018]	Time 0.598 (0.630)	Data 0.001 (0.009)	Loss 1.9285 (1.9788)	Prec@1 45.500 (48.673)	Prec@5 81.000 (79.057)
Epoch: [56][420/9018]	Time 0.592 (0.631)	Data 0.001 (0.009)	Loss 2.0518 (1.9782)	Prec@1 47.000 (48.682)	Prec@5 78.500 (79.072)
Epoch: [56][430/9018]	Time 0.616 (0.630)	Data 0.001 (0.009)	Loss 2.0020 (1.9779)	Prec@1 47.000 (48.689)	Prec@5 79.000 (79.058)
Epoch: [56][440/9018]	Time 0.596 (0.630)	Data 0.001 (0.009)	Loss 2.2814 (1.9787)	Prec@1 39.500 (48.677)	Prec@5 74.000 (79.039)
Epoch: [56][450/9018]	Time 0.604 (0.630)	Data 0.001 (0.009)	Loss 1.8644 (1.9776)	Prec@1 47.000 (48.720)	Prec@5 82.500 (79.047)
Epoch: [56][460/9018]	Time 0.605 (0.630)	Data 0.001 (0.009)	Loss 2.1613 (1.9775)	Prec@1 45.500 (48.725)	Prec@5 74.500 (79.046)
Epoch: [56][470/9018]	Time 0.604 (0.630)	Data 0.014 (0.008)	Loss 2.0940 (1.9776)	Prec@1 46.500 (48.699)	Prec@5 78.500 (79.053)
Epoch: [56][480/9018]	Time 0.594 (0.629)	Data 0.001 (0.008)	Loss 1.9982 (1.9776)	Prec@1 47.000 (48.662)	Prec@5 76.500 (79.045)
Epoch: [56][490/9018]	Time 0.595 (0.629)	Data 0.001 (0.008)	Loss 1.8951 (1.9768)	Prec@1 50.500 (48.675)	Prec@5 81.000 (79.044)
Epoch: [56][500/9018]	Time 0.735 (0.629)	Data 0.001 (0.008)	Loss 2.1544 (1.9770)	Prec@1 43.500 (48.676)	Prec@5 75.500 (79.072)
Epoch: [56][510/9018]	Time 0.616 (0.629)	Data 0.001 (0.008)	Loss 1.9778 (1.9770)	Prec@1 50.000 (48.653)	Prec@5 81.000 (79.105)
Epoch: [56][520/9018]	Time 0.611 (0.629)	Data 0.001 (0.008)	Loss 1.8601 (1.9756)	Prec@1 51.000 (48.676)	Prec@5 78.500 (79.121)
Epoch: [56][530/9018]	Time 0.639 (0.629)	Data 0.001 (0.008)	Loss 1.9735 (1.9754)	Prec@1 52.000 (48.702)	Prec@5 77.500 (79.134)
Epoch: [56][540/9018]	Time 0.591 (0.629)	Data 0.001 (0.008)	Loss 2.0198 (1.9760)	Prec@1 46.500 (48.672)	Prec@5 78.500 (79.117)
Epoch: [56][550/9018]	Time 0.758 (0.629)	Data 0.007 (0.008)	Loss 1.9681 (1.9756)	Prec@1 50.500 (48.708)	Prec@5 78.000 (79.142)
Epoch: [56][560/9018]	Time 0.602 (0.629)	Data 0.001 (0.007)	Loss 1.9821 (1.9767)	Prec@1 50.000 (48.666)	Prec@5 74.500 (79.122)
Epoch: [56][570/9018]	Time 0.618 (0.629)	Data 0.001 (0.007)	Loss 2.0009 (1.9759)	Prec@1 51.000 (48.697)	Prec@5 81.000 (79.123)
Epoch: [56][580/9018]	Time 0.630 (0.629)	Data 0.001 (0.007)	Loss 1.9246 (1.9762)	Prec@1 52.000 (48.694)	Prec@5 76.500 (79.120)
Epoch: [56][590/9018]	Time 0.634 (0.629)	Data 0.001 (0.007)	Loss 2.1702 (1.9771)	Prec@1 43.000 (48.673)	Prec@5 76.000 (79.098)
Epoch: [56][600/9018]	Time 0.621 (0.629)	Data 0.001 (0.007)	Loss 1.9906 (1.9769)	Prec@1 48.000 (48.680)	Prec@5 80.500 (79.082)
Epoch: [56][610/9018]	Time 0.591 (0.629)	Data 0.001 (0.007)	Loss 1.9456 (1.9773)	Prec@1 52.000 (48.683)	Prec@5 81.000 (79.070)
Epoch: [56][620/9018]	Time 0.621 (0.629)	Data 0.001 (0.007)	Loss 2.0659 (1.9771)	Prec@1 47.000 (48.684)	Prec@5 76.000 (79.076)
Epoch: [56][630/9018]	Time 0.612 (0.628)	Data 0.001 (0.007)	Loss 1.8648 (1.9768)	Prec@1 48.500 (48.708)	Prec@5 82.500 (79.082)
Epoch: [56][640/9018]	Time 0.598 (0.628)	Data 0.001 (0.007)	Loss 1.8063 (1.9769)	Prec@1 50.500 (48.685)	Prec@5 83.000 (79.078)
Epoch: [56][650/9018]	Time 0.662 (0.628)	Data 0.003 (0.007)	Loss 2.0323 (1.9763)	Prec@1 45.500 (48.707)	Prec@5 77.500 (79.099)
Epoch: [56][660/9018]	Time 0.590 (0.628)	Data 0.001 (0.007)	Loss 2.1962 (1.9769)	Prec@1 45.500 (48.686)	Prec@5 75.000 (79.101)
Epoch: [56][670/9018]	Time 0.601 (0.628)	Data 0.001 (0.007)	Loss 1.8719 (1.9780)	Prec@1 55.500 (48.682)	Prec@5 79.500 (79.075)
Epoch: [56][680/9018]	Time 0.607 (0.628)	Data 0.001 (0.007)	Loss 2.1454 (1.9793)	Prec@1 43.500 (48.663)	Prec@5 76.500 (79.053)
Epoch: [56][690/9018]	Time 0.620 (0.628)	Data 0.016 (0.007)	Loss 2.0446 (1.9802)	Prec@1 46.500 (48.658)	Prec@5 77.500 (79.034)
Epoch: [56][700/9018]	Time 0.657 (0.628)	Data 0.001 (0.007)	Loss 1.9530 (1.9807)	Prec@1 48.500 (48.655)	Prec@5 77.500 (79.036)
Epoch: [56][710/9018]	Time 0.630 (0.628)	Data 0.015 (0.007)	Loss 2.1812 (1.9809)	Prec@1 45.000 (48.662)	Prec@5 74.000 (79.025)
Epoch: [56][720/9018]	Time 0.606 (0.628)	Data 0.001 (0.007)	Loss 1.9576 (1.9809)	Prec@1 50.000 (48.666)	Prec@5 81.500 (79.026)
Epoch: [56][730/9018]	Time 0.612 (0.628)	Data 0.001 (0.006)	Loss 2.1017 (1.9813)	Prec@1 47.500 (48.651)	Prec@5 76.500 (79.033)
Epoch: [56][740/9018]	Time 0.606 (0.628)	Data 0.001 (0.006)	Loss 2.0045 (1.9818)	Prec@1 48.500 (48.634)	Prec@5 78.500 (79.036)
Epoch: [56][750/9018]	Time 0.653 (0.628)	Data 0.001 (0.006)	Loss 2.2202 (1.9817)	Prec@1 42.000 (48.641)	Prec@5 74.000 (79.037)
Epoch: [56][760/9018]	Time 0.598 (0.628)	Data 0.001 (0.006)	Loss 2.1920 (1.9817)	Prec@1 45.500 (48.640)	Prec@5 78.000 (79.034)
Epoch: [56][770/9018]	Time 0.601 (0.628)	Data 0.001 (0.006)	Loss 2.1075 (1.9817)	Prec@1 45.000 (48.637)	Prec@5 79.000 (79.034)
Epoch: [56][780/9018]	Time 0.644 (0.628)	Data 0.001 (0.006)	Loss 1.8465 (1.9813)	Prec@1 51.000 (48.640)	Prec@5 80.000 (79.042)
Epoch: [56][790/9018]	Time 0.616 (0.628)	Data 0.001 (0.006)	Loss 2.0887 (1.9815)	Prec@1 51.000 (48.650)	Prec@5 74.500 (79.038)
Epoch: [56][800/9018]	Time 0.607 (0.628)	Data 0.001 (0.006)	Loss 2.2556 (1.9818)	Prec@1 46.000 (48.655)	Prec@5 72.000 (79.026)
Epoch: [56][810/9018]	Time 0.597 (0.628)	Data 0.001 (0.006)	Loss 1.9921 (1.9815)	Prec@1 47.500 (48.666)	Prec@5 80.500 (79.030)
Epoch: [56][820/9018]	Time 0.602 (0.628)	Data 0.004 (0.006)	Loss 2.1727 (1.9823)	Prec@1 44.000 (48.651)	Prec@5 75.500 (79.021)
Epoch: [56][830/9018]	Time 0.783 (0.628)	Data 0.001 (0.006)	Loss 2.0236 (1.9826)	Prec@1 52.500 (48.648)	Prec@5 76.500 (79.022)
Epoch: [56][840/9018]	Time 0.594 (0.628)	Data 0.001 (0.006)	Loss 1.9203 (1.9823)	Prec@1 51.000 (48.647)	Prec@5 78.500 (79.011)
Epoch: [56][850/9018]	Time 0.614 (0.628)	Data 0.001 (0.006)	Loss 1.9120 (1.9820)	Prec@1 47.500 (48.650)	Prec@5 82.000 (79.023)
Epoch: [56][860/9018]	Time 0.606 (0.628)	Data 0.001 (0.006)	Loss 1.8936 (1.9819)	Prec@1 49.500 (48.645)	Prec@5 78.500 (79.021)
Epoch: [56][870/9018]	Time 0.599 (0.628)	Data 0.001 (0.006)	Loss 2.1606 (1.9818)	Prec@1 43.000 (48.645)	Prec@5 75.500 (79.023)
Epoch: [56][880/9018]	Time 0.736 (0.628)	Data 0.001 (0.006)	Loss 2.0257 (1.9819)	Prec@1 47.500 (48.644)	Prec@5 76.000 (79.024)
Epoch: [56][890/9018]	Time 0.602 (0.628)	Data 0.001 (0.006)	Loss 2.0052 (1.9818)	Prec@1 48.500 (48.643)	Prec@5 75.000 (79.009)
Epoch: [56][900/9018]	Time 0.619 (0.628)	Data 0.001 (0.006)	Loss 1.9633 (1.9817)	Prec@1 55.500 (48.640)	Prec@5 79.500 (79.003)
Epoch: [56][910/9018]	Time 0.593 (0.628)	Data 0.001 (0.006)	Loss 2.0159 (1.9823)	Prec@1 49.000 (48.628)	Prec@5 77.000 (78.996)
Epoch: [56][920/9018]	Time 0.604 (0.628)	Data 0.001 (0.006)	Loss 2.1265 (1.9823)	Prec@1 45.500 (48.624)	Prec@5 75.500 (79.004)
Epoch: [56][930/9018]	Time 0.623 (0.628)	Data 0.001 (0.006)	Loss 1.9218 (1.9825)	Prec@1 48.500 (48.616)	Prec@5 82.500 (79.004)
Epoch: [56][940/9018]	Time 0.593 (0.628)	Data 0.001 (0.006)	Loss 2.0501 (1.9825)	Prec@1 44.500 (48.605)	Prec@5 78.000 (79.007)
Epoch: [56][950/9018]	Time 0.627 (0.628)	Data 0.001 (0.006)	Loss 2.2046 (1.9827)	Prec@1 45.500 (48.604)	Prec@5 77.000 (79.000)
Epoch: [56][960/9018]	Time 0.615 (0.627)	Data 0.001 (0.006)	Loss 1.9644 (1.9827)	Prec@1 50.000 (48.591)	Prec@5 78.500 (79.003)
Epoch: [56][970/9018]	Time 0.626 (0.627)	Data 0.006 (0.006)	Loss 1.9488 (1.9826)	Prec@1 46.000 (48.578)	Prec@5 80.000 (78.992)
Epoch: [56][980/9018]	Time 0.627 (0.627)	Data 0.001 (0.006)	Loss 2.0874 (1.9832)	Prec@1 43.500 (48.560)	Prec@5 77.500 (78.983)
Epoch: [56][990/9018]	Time 0.603 (0.627)	Data 0.001 (0.006)	Loss 2.0355 (1.9838)	Prec@1 46.000 (48.558)	Prec@5 79.500 (78.985)
Epoch: [56][1000/9018]	Time 0.608 (0.627)	Data 0.001 (0.005)	Loss 2.0326 (1.9831)	Prec@1 50.500 (48.573)	Prec@5 78.000 (78.994)
Epoch: [56][1010/9018]	Time 0.622 (0.627)	Data 0.015 (0.005)	Loss 1.9710 (1.9836)	Prec@1 50.500 (48.569)	Prec@5 81.000 (78.990)
Epoch: [56][1020/9018]	Time 0.631 (0.627)	Data 0.001 (0.005)	Loss 1.8663 (1.9842)	Prec@1 50.000 (48.556)	Prec@5 84.000 (78.984)
Epoch: [56][1030/9018]	Time 0.601 (0.627)	Data 0.001 (0.005)	Loss 1.9830 (1.9837)	Prec@1 52.000 (48.572)	Prec@5 78.500 (78.985)
Epoch: [56][1040/9018]	Time 0.599 (0.627)	Data 0.001 (0.005)	Loss 2.0023 (1.9845)	Prec@1 48.000 (48.555)	Prec@5 82.000 (78.979)
Epoch: [56][1050/9018]	Time 0.617 (0.627)	Data 0.015 (0.005)	Loss 1.9064 (1.9845)	Prec@1 50.500 (48.557)	Prec@5 79.000 (78.972)
Epoch: [56][1060/9018]	Time 0.594 (0.627)	Data 0.001 (0.005)	Loss 2.0332 (1.9846)	Prec@1 45.000 (48.552)	Prec@5 79.000 (78.973)
Epoch: [56][1070/9018]	Time 0.620 (0.627)	Data 0.001 (0.005)	Loss 2.0466 (1.9842)	Prec@1 49.500 (48.565)	Prec@5 77.500 (78.973)
Epoch: [56][1080/9018]	Time 0.605 (0.627)	Data 0.001 (0.005)	Loss 1.9875 (1.9845)	Prec@1 47.000 (48.572)	Prec@5 80.000 (78.975)
Epoch: [56][1090/9018]	Time 0.625 (0.627)	Data 0.001 (0.005)	Loss 1.9997 (1.9850)	Prec@1 51.000 (48.570)	Prec@5 80.500 (78.972)
Epoch: [56][1100/9018]	Time 0.621 (0.627)	Data 0.001 (0.005)	Loss 2.0474 (1.9849)	Prec@1 46.000 (48.569)	Prec@5 80.000 (78.982)
Epoch: [56][1110/9018]	Time 0.614 (0.627)	Data 0.001 (0.005)	Loss 2.1422 (1.9846)	Prec@1 46.000 (48.571)	Prec@5 76.500 (78.988)
Epoch: [56][1120/9018]	Time 0.605 (0.627)	Data 0.001 (0.005)	Loss 2.0470 (1.9851)	Prec@1 45.000 (48.556)	Prec@5 74.500 (78.980)
Epoch: [56][1130/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 1.9649 (1.9851)	Prec@1 49.000 (48.549)	Prec@5 78.000 (78.976)
Epoch: [56][1140/9018]	Time 0.604 (0.627)	Data 0.001 (0.005)	Loss 1.9732 (1.9852)	Prec@1 48.500 (48.535)	Prec@5 82.500 (78.984)
Epoch: [56][1150/9018]	Time 0.600 (0.627)	Data 0.001 (0.005)	Loss 1.9557 (1.9856)	Prec@1 43.500 (48.501)	Prec@5 78.500 (78.984)
Epoch: [56][1160/9018]	Time 0.773 (0.627)	Data 0.001 (0.005)	Loss 1.9626 (1.9855)	Prec@1 45.500 (48.504)	Prec@5 79.500 (78.979)
Epoch: [56][1170/9018]	Time 0.653 (0.627)	Data 0.001 (0.005)	Loss 1.8138 (1.9853)	Prec@1 55.500 (48.516)	Prec@5 81.000 (78.975)
Epoch: [56][1180/9018]	Time 0.596 (0.627)	Data 0.001 (0.005)	Loss 2.0369 (1.9856)	Prec@1 47.000 (48.513)	Prec@5 76.500 (78.966)
Epoch: [56][1190/9018]	Time 0.608 (0.627)	Data 0.001 (0.005)	Loss 2.0511 (1.9856)	Prec@1 44.000 (48.513)	Prec@5 75.500 (78.961)
Epoch: [56][1200/9018]	Time 0.617 (0.627)	Data 0.001 (0.005)	Loss 1.8772 (1.9855)	Prec@1 51.000 (48.513)	Prec@5 83.000 (78.970)
Epoch: [56][1210/9018]	Time 0.746 (0.627)	Data 0.002 (0.005)	Loss 2.1229 (1.9854)	Prec@1 49.000 (48.511)	Prec@5 78.500 (78.980)
Epoch: [56][1220/9018]	Time 0.615 (0.627)	Data 0.001 (0.005)	Loss 2.1360 (1.9854)	Prec@1 46.500 (48.517)	Prec@5 75.000 (78.972)
Epoch: [56][1230/9018]	Time 0.600 (0.627)	Data 0.001 (0.005)	Loss 1.9542 (1.9863)	Prec@1 47.000 (48.496)	Prec@5 80.500 (78.963)
Epoch: [56][1240/9018]	Time 0.604 (0.627)	Data 0.014 (0.005)	Loss 1.9117 (1.9859)	Prec@1 48.500 (48.500)	Prec@5 78.500 (78.975)
Epoch: [56][1250/9018]	Time 0.637 (0.627)	Data 0.013 (0.005)	Loss 1.9470 (1.9855)	Prec@1 48.000 (48.517)	Prec@5 80.000 (78.978)
Epoch: [56][1260/9018]	Time 0.627 (0.627)	Data 0.001 (0.005)	Loss 2.1205 (1.9857)	Prec@1 47.000 (48.509)	Prec@5 78.000 (78.982)
Epoch: [56][1270/9018]	Time 0.596 (0.627)	Data 0.001 (0.005)	Loss 1.8000 (1.9854)	Prec@1 55.000 (48.535)	Prec@5 81.000 (78.981)
Epoch: [56][1280/9018]	Time 0.635 (0.627)	Data 0.001 (0.005)	Loss 2.2133 (1.9856)	Prec@1 42.500 (48.532)	Prec@5 73.000 (78.975)
Epoch: [56][1290/9018]	Time 0.603 (0.627)	Data 0.001 (0.005)	Loss 1.9825 (1.9856)	Prec@1 45.500 (48.534)	Prec@5 78.500 (78.979)
Epoch: [56][1300/9018]	Time 0.605 (0.627)	Data 0.001 (0.005)	Loss 2.0007 (1.9854)	Prec@1 41.000 (48.548)	Prec@5 82.000 (78.984)
Epoch: [56][1310/9018]	Time 0.639 (0.627)	Data 0.001 (0.005)	Loss 1.8805 (1.9852)	Prec@1 51.000 (48.546)	Prec@5 81.500 (78.982)
Epoch: [56][1320/9018]	Time 0.627 (0.627)	Data 0.001 (0.005)	Loss 1.9351 (1.9849)	Prec@1 47.500 (48.543)	Prec@5 77.500 (78.980)
Epoch: [56][1330/9018]	Time 0.601 (0.627)	Data 0.016 (0.005)	Loss 1.9226 (1.9848)	Prec@1 54.500 (48.548)	Prec@5 79.500 (78.982)
Epoch: [56][1340/9018]	Time 0.626 (0.627)	Data 0.001 (0.005)	Loss 1.7988 (1.9845)	Prec@1 52.000 (48.553)	Prec@5 82.000 (78.986)
Epoch: [56][1350/9018]	Time 0.611 (0.627)	Data 0.001 (0.005)	Loss 2.0672 (1.9844)	Prec@1 43.500 (48.552)	Prec@5 76.000 (78.985)
Epoch: [56][1360/9018]	Time 0.615 (0.627)	Data 0.001 (0.005)	Loss 2.2222 (1.9849)	Prec@1 48.000 (48.548)	Prec@5 75.500 (78.975)
Epoch: [56][1370/9018]	Time 0.624 (0.627)	Data 0.001 (0.005)	Loss 2.0068 (1.9848)	Prec@1 44.000 (48.550)	Prec@5 78.000 (78.975)
Epoch: [56][1380/9018]	Time 0.652 (0.627)	Data 0.001 (0.005)	Loss 1.9484 (1.9851)	Prec@1 48.500 (48.549)	Prec@5 77.000 (78.963)
Epoch: [56][1390/9018]	Time 0.604 (0.627)	Data 0.001 (0.005)	Loss 2.1356 (1.9851)	Prec@1 46.000 (48.551)	Prec@5 78.500 (78.965)
Epoch: [56][1400/9018]	Time 0.642 (0.627)	Data 0.001 (0.005)	Loss 1.7989 (1.9852)	Prec@1 53.000 (48.542)	Prec@5 85.500 (78.962)
Epoch: [56][1410/9018]	Time 0.590 (0.627)	Data 0.001 (0.005)	Loss 1.9556 (1.9855)	Prec@1 47.500 (48.532)	Prec@5 78.500 (78.955)
Epoch: [56][1420/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 2.1186 (1.9856)	Prec@1 49.000 (48.530)	Prec@5 74.500 (78.951)
Epoch: [56][1430/9018]	Time 0.614 (0.627)	Data 0.001 (0.005)	Loss 2.0132 (1.9858)	Prec@1 50.000 (48.516)	Prec@5 77.500 (78.947)
Epoch: [56][1440/9018]	Time 0.610 (0.627)	Data 0.001 (0.005)	Loss 1.9190 (1.9859)	Prec@1 48.500 (48.510)	Prec@5 76.000 (78.943)
Epoch: [56][1450/9018]	Time 0.605 (0.627)	Data 0.001 (0.005)	Loss 2.0553 (1.9862)	Prec@1 43.000 (48.496)	Prec@5 77.500 (78.943)
Epoch: [56][1460/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 2.1433 (1.9860)	Prec@1 43.000 (48.499)	Prec@5 74.000 (78.941)
Epoch: [56][1470/9018]	Time 0.594 (0.626)	Data 0.001 (0.005)	Loss 2.0957 (1.9858)	Prec@1 50.500 (48.508)	Prec@5 77.000 (78.946)
Epoch: [56][1480/9018]	Time 0.629 (0.626)	Data 0.001 (0.005)	Loss 2.0921 (1.9857)	Prec@1 49.500 (48.515)	Prec@5 76.500 (78.945)
Epoch: [56][1490/9018]	Time 0.786 (0.626)	Data 0.001 (0.005)	Loss 1.8880 (1.9860)	Prec@1 50.000 (48.516)	Prec@5 81.000 (78.938)
Epoch: [56][1500/9018]	Time 0.602 (0.626)	Data 0.003 (0.005)	Loss 1.8678 (1.9862)	Prec@1 50.000 (48.517)	Prec@5 81.000 (78.936)
Epoch: [56][1510/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 2.3411 (1.9865)	Prec@1 43.500 (48.509)	Prec@5 73.000 (78.931)
Epoch: [56][1520/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.7192 (1.9865)	Prec@1 54.000 (48.509)	Prec@5 87.000 (78.935)
Epoch: [56][1530/9018]	Time 0.624 (0.626)	Data 0.001 (0.004)	Loss 1.8502 (1.9870)	Prec@1 51.500 (48.498)	Prec@5 82.500 (78.922)
Epoch: [56][1540/9018]	Time 0.723 (0.626)	Data 0.001 (0.004)	Loss 2.1360 (1.9874)	Prec@1 45.000 (48.497)	Prec@5 75.500 (78.913)
Epoch: [56][1550/9018]	Time 0.616 (0.626)	Data 0.006 (0.004)	Loss 2.0582 (1.9877)	Prec@1 44.000 (48.490)	Prec@5 77.500 (78.909)
Epoch: [56][1560/9018]	Time 0.589 (0.626)	Data 0.001 (0.004)	Loss 2.1508 (1.9879)	Prec@1 47.000 (48.488)	Prec@5 78.500 (78.914)
Epoch: [56][1570/9018]	Time 0.590 (0.626)	Data 0.001 (0.004)	Loss 1.9040 (1.9877)	Prec@1 52.500 (48.500)	Prec@5 80.500 (78.915)
Epoch: [56][1580/9018]	Time 0.595 (0.626)	Data 0.017 (0.004)	Loss 2.0705 (1.9880)	Prec@1 47.000 (48.486)	Prec@5 77.500 (78.912)
Epoch: [56][1590/9018]	Time 0.635 (0.626)	Data 0.001 (0.004)	Loss 2.0858 (1.9885)	Prec@1 44.500 (48.475)	Prec@5 77.500 (78.906)
Epoch: [56][1600/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.9832 (1.9883)	Prec@1 50.500 (48.480)	Prec@5 77.500 (78.911)
Epoch: [56][1610/9018]	Time 0.623 (0.626)	Data 0.001 (0.004)	Loss 2.0267 (1.9884)	Prec@1 49.500 (48.476)	Prec@5 79.500 (78.916)
Epoch: [56][1620/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 2.3159 (1.9885)	Prec@1 36.500 (48.467)	Prec@5 71.500 (78.917)
Epoch: [56][1630/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 2.1592 (1.9884)	Prec@1 44.500 (48.471)	Prec@5 75.000 (78.916)
Epoch: [56][1640/9018]	Time 0.628 (0.626)	Data 0.017 (0.004)	Loss 1.8726 (1.9885)	Prec@1 52.000 (48.474)	Prec@5 81.500 (78.910)
Epoch: [56][1650/9018]	Time 0.643 (0.626)	Data 0.013 (0.004)	Loss 2.0237 (1.9887)	Prec@1 51.000 (48.470)	Prec@5 78.000 (78.912)
Epoch: [56][1660/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 2.0226 (1.9887)	Prec@1 45.500 (48.474)	Prec@5 79.500 (78.912)
Epoch: [56][1670/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 2.0781 (1.9888)	Prec@1 49.000 (48.476)	Prec@5 76.500 (78.915)
Epoch: [56][1680/9018]	Time 0.592 (0.626)	Data 0.001 (0.004)	Loss 2.0467 (1.9888)	Prec@1 47.500 (48.473)	Prec@5 79.000 (78.912)
Epoch: [56][1690/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.8854 (1.9888)	Prec@1 52.500 (48.479)	Prec@5 81.000 (78.914)
Epoch: [56][1700/9018]	Time 0.615 (0.626)	Data 0.004 (0.004)	Loss 2.1395 (1.9892)	Prec@1 45.500 (48.473)	Prec@5 77.000 (78.909)
Epoch: [56][1710/9018]	Time 0.649 (0.626)	Data 0.001 (0.004)	Loss 1.9108 (1.9889)	Prec@1 47.500 (48.480)	Prec@5 76.500 (78.912)
Epoch: [56][1720/9018]	Time 0.604 (0.626)	Data 0.014 (0.004)	Loss 1.9255 (1.9891)	Prec@1 48.000 (48.475)	Prec@5 79.000 (78.902)
Epoch: [56][1730/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 2.2405 (1.9892)	Prec@1 45.000 (48.479)	Prec@5 73.500 (78.898)
Epoch: [56][1740/9018]	Time 0.629 (0.626)	Data 0.001 (0.004)	Loss 1.9471 (1.9893)	Prec@1 48.500 (48.474)	Prec@5 83.500 (78.900)
Epoch: [56][1750/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 2.0902 (1.9891)	Prec@1 43.500 (48.475)	Prec@5 81.000 (78.903)
Epoch: [56][1760/9018]	Time 0.592 (0.626)	Data 0.001 (0.004)	Loss 2.1010 (1.9890)	Prec@1 44.500 (48.480)	Prec@5 77.000 (78.909)
Epoch: [56][1770/9018]	Time 0.631 (0.626)	Data 0.014 (0.004)	Loss 2.1546 (1.9891)	Prec@1 46.000 (48.482)	Prec@5 75.500 (78.909)
Epoch: [56][1780/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.9411 (1.9889)	Prec@1 47.000 (48.487)	Prec@5 81.500 (78.911)
Epoch: [56][1790/9018]	Time 0.633 (0.626)	Data 0.011 (0.004)	Loss 2.1441 (1.9892)	Prec@1 45.500 (48.482)	Prec@5 78.500 (78.912)
Epoch: [56][1800/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 2.0609 (1.9894)	Prec@1 46.000 (48.478)	Prec@5 74.500 (78.913)
Epoch: [56][1810/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 1.8508 (1.9895)	Prec@1 51.500 (48.476)	Prec@5 82.000 (78.916)
Epoch: [56][1820/9018]	Time 0.722 (0.626)	Data 0.001 (0.004)	Loss 1.8557 (1.9895)	Prec@1 48.500 (48.473)	Prec@5 82.500 (78.917)
Epoch: [56][1830/9018]	Time 0.632 (0.626)	Data 0.001 (0.004)	Loss 1.9643 (1.9891)	Prec@1 50.000 (48.484)	Prec@5 75.500 (78.924)
Epoch: [56][1840/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 2.0422 (1.9892)	Prec@1 48.500 (48.481)	Prec@5 75.500 (78.926)
Epoch: [56][1850/9018]	Time 0.606 (0.626)	Data 0.001 (0.004)	Loss 2.0194 (1.9894)	Prec@1 43.000 (48.469)	Prec@5 79.000 (78.927)
Epoch: [56][1860/9018]	Time 0.636 (0.626)	Data 0.003 (0.004)	Loss 2.1080 (1.9895)	Prec@1 46.500 (48.473)	Prec@5 76.000 (78.929)
Epoch: [56][1870/9018]	Time 0.785 (0.626)	Data 0.001 (0.004)	Loss 2.3176 (1.9896)	Prec@1 45.000 (48.471)	Prec@5 73.000 (78.929)
Epoch: [56][1880/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 2.0084 (1.9897)	Prec@1 49.500 (48.476)	Prec@5 81.500 (78.927)
Epoch: [56][1890/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 1.9426 (1.9896)	Prec@1 49.000 (48.482)	Prec@5 80.000 (78.931)
Epoch: [56][1900/9018]	Time 0.641 (0.626)	Data 0.001 (0.004)	Loss 1.9045 (1.9895)	Prec@1 48.000 (48.482)	Prec@5 78.000 (78.926)
Epoch: [56][1910/9018]	Time 0.648 (0.626)	Data 0.013 (0.004)	Loss 1.9516 (1.9894)	Prec@1 46.500 (48.484)	Prec@5 79.500 (78.923)
Epoch: [56][1920/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.9324 (1.9894)	Prec@1 45.500 (48.482)	Prec@5 80.000 (78.923)
Epoch: [56][1930/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.9363 (1.9893)	Prec@1 50.500 (48.486)	Prec@5 79.000 (78.924)
Epoch: [56][1940/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 1.7976 (1.9894)	Prec@1 58.500 (48.486)	Prec@5 81.500 (78.923)
Epoch: [56][1950/9018]	Time 0.636 (0.626)	Data 0.001 (0.004)	Loss 2.0666 (1.9895)	Prec@1 49.000 (48.489)	Prec@5 75.000 (78.919)
Epoch: [56][1960/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.7631 (1.9895)	Prec@1 50.000 (48.481)	Prec@5 83.000 (78.925)
Epoch: [56][1970/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 2.0690 (1.9895)	Prec@1 46.500 (48.480)	Prec@5 79.500 (78.925)
Epoch: [56][1980/9018]	Time 0.648 (0.626)	Data 0.003 (0.004)	Loss 2.0192 (1.9895)	Prec@1 44.000 (48.480)	Prec@5 81.500 (78.923)
Epoch: [56][1990/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 2.3424 (1.9895)	Prec@1 44.000 (48.483)	Prec@5 73.000 (78.925)
Epoch: [56][2000/9018]	Time 0.611 (0.626)	Data 0.017 (0.004)	Loss 1.9323 (1.9894)	Prec@1 51.000 (48.491)	Prec@5 78.000 (78.924)
Epoch: [56][2010/9018]	Time 0.619 (0.626)	Data 0.017 (0.004)	Loss 1.9832 (1.9895)	Prec@1 48.500 (48.494)	Prec@5 78.500 (78.919)
Epoch: [56][2020/9018]	Time 0.625 (0.626)	Data 0.029 (0.004)	Loss 2.0595 (1.9894)	Prec@1 45.000 (48.495)	Prec@5 76.000 (78.918)
Epoch: [56][2030/9018]	Time 0.590 (0.626)	Data 0.001 (0.004)	Loss 1.7367 (1.9893)	Prec@1 55.500 (48.494)	Prec@5 80.500 (78.918)
Epoch: [56][2040/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 2.1763 (1.9896)	Prec@1 45.000 (48.486)	Prec@5 78.000 (78.919)
Epoch: [56][2050/9018]	Time 0.631 (0.626)	Data 0.016 (0.004)	Loss 1.8324 (1.9898)	Prec@1 53.000 (48.486)	Prec@5 80.500 (78.914)
Epoch: [56][2060/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 2.1159 (1.9897)	Prec@1 47.000 (48.486)	Prec@5 76.000 (78.913)
Epoch: [56][2070/9018]	Time 0.626 (0.626)	Data 0.017 (0.004)	Loss 2.0084 (1.9896)	Prec@1 46.000 (48.489)	Prec@5 76.500 (78.907)
Epoch: [56][2080/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 2.0854 (1.9899)	Prec@1 47.000 (48.484)	Prec@5 80.500 (78.908)
Epoch: [56][2090/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 2.0242 (1.9897)	Prec@1 47.000 (48.482)	Prec@5 77.500 (78.911)
Epoch: [56][2100/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 1.9364 (1.9898)	Prec@1 51.500 (48.483)	Prec@5 78.500 (78.912)
Epoch: [56][2110/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.8729 (1.9899)	Prec@1 51.500 (48.478)	Prec@5 81.000 (78.909)
Epoch: [56][2120/9018]	Time 0.623 (0.626)	Data 0.001 (0.004)	Loss 1.9420 (1.9897)	Prec@1 53.000 (48.486)	Prec@5 78.000 (78.908)
Epoch: [56][2130/9018]	Time 0.597 (0.626)	Data 0.001 (0.004)	Loss 2.0278 (1.9896)	Prec@1 44.500 (48.487)	Prec@5 76.500 (78.903)
Epoch: [56][2140/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 1.8652 (1.9893)	Prec@1 54.000 (48.495)	Prec@5 84.000 (78.904)
Epoch: [56][2150/9018]	Time 0.766 (0.626)	Data 0.001 (0.004)	Loss 2.0576 (1.9895)	Prec@1 48.500 (48.495)	Prec@5 79.000 (78.898)
Epoch: [56][2160/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 1.9896 (1.9898)	Prec@1 46.500 (48.491)	Prec@5 80.500 (78.896)
Epoch: [56][2170/9018]	Time 0.598 (0.626)	Data 0.001 (0.004)	Loss 2.0861 (1.9900)	Prec@1 43.500 (48.489)	Prec@5 73.500 (78.889)
Epoch: [56][2180/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.9227 (1.9899)	Prec@1 46.000 (48.491)	Prec@5 79.500 (78.892)
Epoch: [56][2190/9018]	Time 0.592 (0.626)	Data 0.001 (0.004)	Loss 1.9138 (1.9894)	Prec@1 52.500 (48.500)	Prec@5 77.500 (78.899)
Epoch: [56][2200/9018]	Time 0.735 (0.626)	Data 0.010 (0.004)	Loss 1.9709 (1.9895)	Prec@1 48.500 (48.498)	Prec@5 77.500 (78.897)
Epoch: [56][2210/9018]	Time 0.624 (0.626)	Data 0.001 (0.004)	Loss 1.9436 (1.9897)	Prec@1 45.500 (48.489)	Prec@5 76.500 (78.891)
Epoch: [56][2220/9018]	Time 0.637 (0.626)	Data 0.001 (0.004)	Loss 1.9819 (1.9897)	Prec@1 46.500 (48.486)	Prec@5 79.000 (78.889)
Epoch: [56][2230/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.8838 (1.9897)	Prec@1 49.000 (48.487)	Prec@5 79.500 (78.886)
Epoch: [56][2240/9018]	Time 0.631 (0.626)	Data 0.001 (0.004)	Loss 2.1053 (1.9897)	Prec@1 44.000 (48.485)	Prec@5 76.000 (78.883)
Epoch: [56][2250/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 2.0302 (1.9900)	Prec@1 46.500 (48.480)	Prec@5 76.000 (78.876)
Epoch: [56][2260/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 2.0481 (1.9901)	Prec@1 44.500 (48.474)	Prec@5 76.000 (78.872)
Epoch: [56][2270/9018]	Time 0.628 (0.626)	Data 0.002 (0.004)	Loss 2.1988 (1.9903)	Prec@1 47.500 (48.470)	Prec@5 75.000 (78.870)
Epoch: [56][2280/9018]	Time 0.624 (0.626)	Data 0.014 (0.004)	Loss 2.0449 (1.9902)	Prec@1 52.500 (48.479)	Prec@5 76.500 (78.871)
Epoch: [56][2290/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 2.0208 (1.9902)	Prec@1 46.000 (48.476)	Prec@5 77.500 (78.872)
Epoch: [56][2300/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 1.7843 (1.9902)	Prec@1 51.500 (48.473)	Prec@5 80.000 (78.872)
Epoch: [56][2310/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 2.0923 (1.9903)	Prec@1 45.500 (48.470)	Prec@5 76.500 (78.871)
Epoch: [56][2320/9018]	Time 0.635 (0.626)	Data 0.001 (0.004)	Loss 1.7964 (1.9903)	Prec@1 49.000 (48.470)	Prec@5 81.000 (78.867)
Epoch: [56][2330/9018]	Time 0.633 (0.626)	Data 0.007 (0.004)	Loss 2.1776 (1.9903)	Prec@1 43.500 (48.471)	Prec@5 73.000 (78.865)
Epoch: [56][2340/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.9470 (1.9904)	Prec@1 49.500 (48.470)	Prec@5 79.000 (78.864)
Epoch: [56][2350/9018]	Time 0.597 (0.626)	Data 0.001 (0.004)	Loss 2.0287 (1.9905)	Prec@1 46.000 (48.466)	Prec@5 76.500 (78.858)
Epoch: [56][2360/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.9914 (1.9905)	Prec@1 44.000 (48.464)	Prec@5 78.500 (78.861)
Epoch: [56][2370/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 2.0576 (1.9906)	Prec@1 50.500 (48.464)	Prec@5 76.000 (78.860)
Epoch: [56][2380/9018]	Time 0.617 (0.626)	Data 0.013 (0.004)	Loss 1.8634 (1.9908)	Prec@1 50.500 (48.460)	Prec@5 82.000 (78.854)
Epoch: [56][2390/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 2.1468 (1.9910)	Prec@1 45.500 (48.451)	Prec@5 76.000 (78.849)
Epoch: [56][2400/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 2.0448 (1.9909)	Prec@1 51.500 (48.457)	Prec@5 79.000 (78.850)
Epoch: [56][2410/9018]	Time 0.641 (0.626)	Data 0.001 (0.004)	Loss 1.8679 (1.9908)	Prec@1 48.500 (48.459)	Prec@5 85.500 (78.855)
Epoch: [56][2420/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.9928 (1.9909)	Prec@1 46.000 (48.454)	Prec@5 78.000 (78.856)
Epoch: [56][2430/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 2.1201 (1.9911)	Prec@1 48.000 (48.452)	Prec@5 77.000 (78.851)
Epoch: [56][2440/9018]	Time 0.623 (0.626)	Data 0.017 (0.004)	Loss 2.0301 (1.9908)	Prec@1 51.000 (48.459)	Prec@5 79.500 (78.854)
Epoch: [56][2450/9018]	Time 0.654 (0.626)	Data 0.001 (0.004)	Loss 1.9974 (1.9909)	Prec@1 49.500 (48.456)	Prec@5 77.500 (78.851)
Epoch: [56][2460/9018]	Time 0.629 (0.626)	Data 0.001 (0.004)	Loss 1.9133 (1.9907)	Prec@1 46.500 (48.458)	Prec@5 80.500 (78.856)
Epoch: [56][2470/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.9298 (1.9907)	Prec@1 47.500 (48.461)	Prec@5 79.000 (78.855)
Epoch: [56][2480/9018]	Time 0.754 (0.626)	Data 0.001 (0.004)	Loss 1.9560 (1.9909)	Prec@1 48.500 (48.463)	Prec@5 76.500 (78.852)
Epoch: [56][2490/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 2.2443 (1.9910)	Prec@1 45.500 (48.457)	Prec@5 71.500 (78.851)
Epoch: [56][2500/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.9432 (1.9910)	Prec@1 49.000 (48.458)	Prec@5 80.000 (78.851)
Epoch: [56][2510/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 2.0564 (1.9911)	Prec@1 47.500 (48.455)	Prec@5 78.000 (78.851)
Epoch: [56][2520/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 2.3402 (1.9911)	Prec@1 43.500 (48.452)	Prec@5 71.000 (78.851)
Epoch: [56][2530/9018]	Time 0.740 (0.626)	Data 0.001 (0.004)	Loss 1.8879 (1.9910)	Prec@1 49.000 (48.454)	Prec@5 80.500 (78.851)
Epoch: [56][2540/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.9717 (1.9910)	Prec@1 48.000 (48.450)	Prec@5 79.000 (78.850)
Epoch: [56][2550/9018]	Time 0.605 (0.626)	Data 0.015 (0.004)	Loss 2.0830 (1.9911)	Prec@1 51.500 (48.451)	Prec@5 77.500 (78.849)
Epoch: [56][2560/9018]	Time 0.604 (0.626)	Data 0.016 (0.004)	Loss 1.9769 (1.9911)	Prec@1 47.500 (48.452)	Prec@5 76.500 (78.850)
Epoch: [56][2570/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 2.2035 (1.9914)	Prec@1 46.500 (48.451)	Prec@5 77.000 (78.848)
Epoch: [56][2580/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.7579 (1.9914)	Prec@1 56.500 (48.453)	Prec@5 83.000 (78.845)
Epoch: [56][2590/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 2.2799 (1.9912)	Prec@1 44.000 (48.456)	Prec@5 75.500 (78.846)
Epoch: [56][2600/9018]	Time 0.651 (0.626)	Data 0.001 (0.004)	Loss 2.1175 (1.9913)	Prec@1 46.500 (48.454)	Prec@5 74.500 (78.842)
Epoch: [56][2610/9018]	Time 0.611 (0.625)	Data 0.016 (0.004)	Loss 2.0489 (1.9912)	Prec@1 46.000 (48.453)	Prec@5 76.500 (78.843)
Epoch: [56][2620/9018]	Time 0.639 (0.626)	Data 0.001 (0.004)	Loss 2.0457 (1.9915)	Prec@1 47.500 (48.447)	Prec@5 77.000 (78.836)
Epoch: [56][2630/9018]	Time 0.678 (0.626)	Data 0.001 (0.004)	Loss 1.9583 (1.9914)	Prec@1 48.000 (48.447)	Prec@5 80.500 (78.832)
Epoch: [56][2640/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.8866 (1.9916)	Prec@1 50.000 (48.447)	Prec@5 79.000 (78.825)
Epoch: [56][2650/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.7720 (1.9912)	Prec@1 54.500 (48.455)	Prec@5 81.000 (78.830)
Epoch: [56][2660/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 2.2023 (1.9914)	Prec@1 41.000 (48.450)	Prec@5 73.500 (78.823)
Epoch: [56][2670/9018]	Time 0.671 (0.626)	Data 0.001 (0.004)	Loss 1.9900 (1.9913)	Prec@1 48.000 (48.452)	Prec@5 77.000 (78.819)
Epoch: [56][2680/9018]	Time 0.618 (0.626)	Data 0.019 (0.004)	Loss 2.1135 (1.9914)	Prec@1 48.000 (48.449)	Prec@5 74.500 (78.816)
Epoch: [56][2690/9018]	Time 0.618 (0.625)	Data 0.015 (0.004)	Loss 1.9019 (1.9914)	Prec@1 51.000 (48.448)	Prec@5 81.500 (78.819)
Epoch: [56][2700/9018]	Time 0.590 (0.626)	Data 0.001 (0.004)	Loss 2.1369 (1.9914)	Prec@1 44.500 (48.457)	Prec@5 75.000 (78.815)
Epoch: [56][2710/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 2.1891 (1.9915)	Prec@1 43.000 (48.453)	Prec@5 76.500 (78.812)
Epoch: [56][2720/9018]	Time 0.620 (0.625)	Data 0.014 (0.004)	Loss 2.0636 (1.9917)	Prec@1 44.500 (48.450)	Prec@5 78.000 (78.812)
Epoch: [56][2730/9018]	Time 0.645 (0.626)	Data 0.015 (0.004)	Loss 1.9600 (1.9918)	Prec@1 49.000 (48.447)	Prec@5 77.000 (78.809)
Epoch: [56][2740/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.9263 (1.9920)	Prec@1 50.500 (48.445)	Prec@5 81.500 (78.805)
Epoch: [56][2750/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.8169 (1.9920)	Prec@1 49.000 (48.443)	Prec@5 84.500 (78.807)
Epoch: [56][2760/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 2.1206 (1.9922)	Prec@1 42.500 (48.441)	Prec@5 78.500 (78.806)
Epoch: [56][2770/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.8587 (1.9924)	Prec@1 54.000 (48.434)	Prec@5 81.500 (78.801)
Epoch: [56][2780/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 2.1772 (1.9923)	Prec@1 44.000 (48.436)	Prec@5 76.000 (78.802)
Epoch: [56][2790/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 2.0575 (1.9925)	Prec@1 43.000 (48.434)	Prec@5 78.000 (78.798)
Epoch: [56][2800/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.9771 (1.9924)	Prec@1 48.500 (48.437)	Prec@5 78.000 (78.799)
Epoch: [56][2810/9018]	Time 0.741 (0.625)	Data 0.001 (0.004)	Loss 2.1301 (1.9921)	Prec@1 42.500 (48.435)	Prec@5 76.500 (78.806)
Epoch: [56][2820/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 2.0188 (1.9922)	Prec@1 48.000 (48.436)	Prec@5 76.500 (78.801)
Epoch: [56][2830/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.8632 (1.9921)	Prec@1 51.000 (48.441)	Prec@5 78.500 (78.800)
Epoch: [56][2840/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 2.0029 (1.9920)	Prec@1 43.000 (48.443)	Prec@5 83.500 (78.801)
Epoch: [56][2850/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 2.0660 (1.9922)	Prec@1 47.500 (48.434)	Prec@5 77.000 (78.798)
Epoch: [56][2860/9018]	Time 0.766 (0.625)	Data 0.001 (0.004)	Loss 2.1463 (1.9919)	Prec@1 46.000 (48.440)	Prec@5 78.000 (78.803)
Epoch: [56][2870/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 2.0880 (1.9921)	Prec@1 46.500 (48.436)	Prec@5 77.000 (78.801)
Epoch: [56][2880/9018]	Time 0.645 (0.625)	Data 0.006 (0.004)	Loss 2.1001 (1.9922)	Prec@1 47.000 (48.436)	Prec@5 76.500 (78.799)
Epoch: [56][2890/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 2.0541 (1.9924)	Prec@1 47.500 (48.430)	Prec@5 75.000 (78.795)
Epoch: [56][2900/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.9757 (1.9926)	Prec@1 47.000 (48.430)	Prec@5 78.500 (78.792)
Epoch: [56][2910/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.8310 (1.9923)	Prec@1 51.500 (48.435)	Prec@5 83.000 (78.800)
Epoch: [56][2920/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.9547 (1.9922)	Prec@1 48.500 (48.437)	Prec@5 77.500 (78.802)
Epoch: [56][2930/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 2.0698 (1.9925)	Prec@1 41.500 (48.426)	Prec@5 79.500 (78.795)
Epoch: [56][2940/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 2.0023 (1.9925)	Prec@1 49.000 (48.425)	Prec@5 81.000 (78.799)
Epoch: [56][2950/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 2.0561 (1.9926)	Prec@1 45.000 (48.423)	Prec@5 79.000 (78.799)
Epoch: [56][2960/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.8822 (1.9924)	Prec@1 52.500 (48.424)	Prec@5 80.500 (78.804)
Epoch: [56][2970/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.8503 (1.9925)	Prec@1 52.000 (48.420)	Prec@5 83.500 (78.807)
Epoch: [56][2980/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.9773 (1.9926)	Prec@1 48.500 (48.416)	Prec@5 79.000 (78.804)
Epoch: [56][2990/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.9148 (1.9924)	Prec@1 47.500 (48.421)	Prec@5 83.000 (78.811)
Epoch: [56][3000/9018]	Time 0.595 (0.625)	Data 0.013 (0.004)	Loss 2.1296 (1.9924)	Prec@1 44.000 (48.420)	Prec@5 74.000 (78.812)
Epoch: [56][3010/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.9446 (1.9926)	Prec@1 49.500 (48.414)	Prec@5 78.500 (78.809)
Epoch: [56][3020/9018]	Time 0.618 (0.625)	Data 0.015 (0.004)	Loss 2.0093 (1.9926)	Prec@1 48.000 (48.417)	Prec@5 77.000 (78.808)
Epoch: [56][3030/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 2.1756 (1.9925)	Prec@1 45.000 (48.419)	Prec@5 75.000 (78.811)
Epoch: [56][3040/9018]	Time 0.602 (0.625)	Data 0.014 (0.004)	Loss 1.9674 (1.9925)	Prec@1 50.000 (48.419)	Prec@5 78.500 (78.811)
Epoch: [56][3050/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 2.1060 (1.9925)	Prec@1 47.000 (48.419)	Prec@5 77.000 (78.811)
Epoch: [56][3060/9018]	Time 0.641 (0.625)	Data 0.001 (0.004)	Loss 2.1409 (1.9926)	Prec@1 46.500 (48.419)	Prec@5 77.000 (78.808)
Epoch: [56][3070/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.7950 (1.9926)	Prec@1 54.000 (48.428)	Prec@5 82.000 (78.808)
Epoch: [56][3080/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.9754 (1.9925)	Prec@1 45.500 (48.428)	Prec@5 82.000 (78.809)
Epoch: [56][3090/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.8527 (1.9922)	Prec@1 47.500 (48.436)	Prec@5 81.000 (78.815)
Epoch: [56][3100/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 2.0592 (1.9923)	Prec@1 46.500 (48.434)	Prec@5 79.500 (78.815)
Epoch: [56][3110/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.9318 (1.9923)	Prec@1 52.500 (48.431)	Prec@5 77.500 (78.812)
Epoch: [56][3120/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.8462 (1.9922)	Prec@1 54.500 (48.429)	Prec@5 79.000 (78.814)
Epoch: [56][3130/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 2.0154 (1.9922)	Prec@1 48.500 (48.428)	Prec@5 79.500 (78.811)
Epoch: [56][3140/9018]	Time 0.798 (0.625)	Data 0.001 (0.004)	Loss 2.0814 (1.9924)	Prec@1 44.500 (48.421)	Prec@5 77.500 (78.811)
Epoch: [56][3150/9018]	Time 0.620 (0.625)	Data 0.002 (0.004)	Loss 1.8470 (1.9923)	Prec@1 47.000 (48.419)	Prec@5 83.500 (78.812)
Epoch: [56][3160/9018]	Time 0.609 (0.625)	Data 0.015 (0.004)	Loss 1.8723 (1.9924)	Prec@1 49.500 (48.416)	Prec@5 83.500 (78.812)
Epoch: [56][3170/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 2.0280 (1.9926)	Prec@1 47.500 (48.414)	Prec@5 81.000 (78.811)
Epoch: [56][3180/9018]	Time 0.618 (0.625)	Data 0.016 (0.004)	Loss 1.7986 (1.9928)	Prec@1 54.000 (48.412)	Prec@5 83.000 (78.807)
Epoch: [56][3190/9018]	Time 0.731 (0.625)	Data 0.014 (0.004)	Loss 1.9562 (1.9926)	Prec@1 50.000 (48.416)	Prec@5 80.000 (78.811)
Epoch: [56][3200/9018]	Time 0.598 (0.625)	Data 0.012 (0.004)	Loss 2.1516 (1.9928)	Prec@1 42.500 (48.408)	Prec@5 78.000 (78.807)
Epoch: [56][3210/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.7472 (1.9930)	Prec@1 57.000 (48.409)	Prec@5 82.000 (78.803)
Epoch: [56][3220/9018]	Time 0.608 (0.625)	Data 0.015 (0.004)	Loss 1.9375 (1.9929)	Prec@1 49.500 (48.411)	Prec@5 84.500 (78.807)
Epoch: [56][3230/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.9308 (1.9928)	Prec@1 52.000 (48.415)	Prec@5 79.000 (78.809)
Epoch: [56][3240/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 2.1767 (1.9928)	Prec@1 44.500 (48.416)	Prec@5 75.000 (78.809)
Epoch: [56][3250/9018]	Time 0.630 (0.625)	Data 0.016 (0.004)	Loss 2.0151 (1.9926)	Prec@1 49.500 (48.422)	Prec@5 77.500 (78.813)
Epoch: [56][3260/9018]	Time 0.629 (0.625)	Data 0.016 (0.004)	Loss 1.8970 (1.9926)	Prec@1 49.500 (48.423)	Prec@5 79.500 (78.811)
Epoch: [56][3270/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 2.1181 (1.9927)	Prec@1 46.500 (48.421)	Prec@5 78.500 (78.809)
Epoch: [56][3280/9018]	Time 0.644 (0.625)	Data 0.014 (0.004)	Loss 1.8718 (1.9928)	Prec@1 51.000 (48.420)	Prec@5 80.500 (78.809)
Epoch: [56][3290/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.9312 (1.9928)	Prec@1 50.000 (48.420)	Prec@5 77.500 (78.805)
Epoch: [56][3300/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 2.0344 (1.9929)	Prec@1 46.500 (48.417)	Prec@5 78.500 (78.807)
Epoch: [56][3310/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 2.0281 (1.9930)	Prec@1 42.500 (48.414)	Prec@5 78.000 (78.806)
Epoch: [56][3320/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.8653 (1.9930)	Prec@1 47.500 (48.417)	Prec@5 84.000 (78.807)
Epoch: [56][3330/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.8775 (1.9931)	Prec@1 53.500 (48.415)	Prec@5 83.000 (78.806)
Epoch: [56][3340/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 2.0537 (1.9932)	Prec@1 46.500 (48.414)	Prec@5 77.000 (78.802)
Epoch: [56][3350/9018]	Time 0.640 (0.625)	Data 0.001 (0.004)	Loss 2.1790 (1.9934)	Prec@1 48.000 (48.411)	Prec@5 77.000 (78.798)
Epoch: [56][3360/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 2.1453 (1.9935)	Prec@1 42.000 (48.409)	Prec@5 76.000 (78.797)
Epoch: [56][3370/9018]	Time 0.605 (0.625)	Data 0.013 (0.004)	Loss 1.8992 (1.9935)	Prec@1 52.500 (48.407)	Prec@5 77.500 (78.795)
Epoch: [56][3380/9018]	Time 0.667 (0.625)	Data 0.001 (0.004)	Loss 2.0063 (1.9938)	Prec@1 49.000 (48.403)	Prec@5 76.000 (78.789)
Epoch: [56][3390/9018]	Time 0.611 (0.625)	Data 0.021 (0.004)	Loss 2.0678 (1.9940)	Prec@1 50.500 (48.395)	Prec@5 76.500 (78.785)
Epoch: [56][3400/9018]	Time 0.617 (0.625)	Data 0.014 (0.004)	Loss 2.2769 (1.9942)	Prec@1 45.000 (48.390)	Prec@5 75.000 (78.781)
Epoch: [56][3410/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 2.2085 (1.9940)	Prec@1 50.000 (48.393)	Prec@5 72.500 (78.785)
Epoch: [56][3420/9018]	Time 0.775 (0.625)	Data 0.001 (0.004)	Loss 2.0333 (1.9941)	Prec@1 44.500 (48.391)	Prec@5 82.000 (78.784)
Epoch: [56][3430/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.7992 (1.9941)	Prec@1 54.500 (48.392)	Prec@5 84.500 (78.785)
Epoch: [56][3440/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 2.0439 (1.9941)	Prec@1 42.500 (48.391)	Prec@5 74.000 (78.784)
Epoch: [56][3450/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 2.0663 (1.9943)	Prec@1 45.500 (48.391)	Prec@5 78.000 (78.779)
Epoch: [56][3460/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 2.1398 (1.9943)	Prec@1 45.000 (48.388)	Prec@5 75.000 (78.777)
Epoch: [56][3470/9018]	Time 0.770 (0.625)	Data 0.001 (0.004)	Loss 1.9594 (1.9944)	Prec@1 45.000 (48.380)	Prec@5 84.000 (78.777)
Epoch: [56][3480/9018]	Time 0.655 (0.625)	Data 0.001 (0.004)	Loss 1.8409 (1.9943)	Prec@1 51.000 (48.380)	Prec@5 83.500 (78.779)
Epoch: [56][3490/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.8621 (1.9941)	Prec@1 50.000 (48.384)	Prec@5 81.500 (78.783)
Epoch: [56][3500/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.9473 (1.9942)	Prec@1 52.500 (48.382)	Prec@5 77.500 (78.781)
Epoch: [56][3510/9018]	Time 0.630 (0.625)	Data 0.010 (0.004)	Loss 2.1294 (1.9942)	Prec@1 43.500 (48.380)	Prec@5 77.000 (78.779)
Epoch: [56][3520/9018]	Time 0.669 (0.625)	Data 0.001 (0.004)	Loss 2.0304 (1.9945)	Prec@1 41.500 (48.373)	Prec@5 82.000 (78.779)
Epoch: [56][3530/9018]	Time 0.621 (0.625)	Data 0.006 (0.004)	Loss 2.1103 (1.9944)	Prec@1 46.000 (48.376)	Prec@5 77.000 (78.778)
Epoch: [56][3540/9018]	Time 0.609 (0.625)	Data 0.015 (0.004)	Loss 1.8307 (1.9945)	Prec@1 51.000 (48.375)	Prec@5 82.500 (78.779)
Epoch: [56][3550/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 2.2416 (1.9946)	Prec@1 45.500 (48.375)	Prec@5 73.000 (78.773)
Epoch: [56][3560/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 2.0136 (1.9947)	Prec@1 44.000 (48.372)	Prec@5 80.500 (78.772)
Epoch: [56][3570/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 2.1608 (1.9946)	Prec@1 43.500 (48.379)	Prec@5 74.500 (78.772)
Epoch: [56][3580/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.9109 (1.9947)	Prec@1 48.500 (48.375)	Prec@5 80.500 (78.770)
Epoch: [56][3590/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.9813 (1.9947)	Prec@1 45.500 (48.373)	Prec@5 77.500 (78.772)
Epoch: [56][3600/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.7907 (1.9946)	Prec@1 52.000 (48.376)	Prec@5 85.500 (78.779)
Epoch: [56][3610/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 2.2043 (1.9948)	Prec@1 48.500 (48.372)	Prec@5 75.000 (78.776)
Epoch: [56][3620/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 2.0333 (1.9948)	Prec@1 52.000 (48.373)	Prec@5 77.500 (78.773)
Epoch: [56][3630/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 2.1860 (1.9948)	Prec@1 41.500 (48.368)	Prec@5 76.500 (78.774)
Epoch: [56][3640/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.9608 (1.9950)	Prec@1 48.000 (48.367)	Prec@5 75.500 (78.767)
Epoch: [56][3650/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 2.0520 (1.9949)	Prec@1 42.500 (48.366)	Prec@5 76.000 (78.770)
Epoch: [56][3660/9018]	Time 0.596 (0.625)	Data 0.004 (0.004)	Loss 1.9919 (1.9950)	Prec@1 46.500 (48.360)	Prec@5 77.500 (78.771)
Epoch: [56][3670/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 2.2507 (1.9950)	Prec@1 44.000 (48.360)	Prec@5 77.000 (78.771)
Epoch: [56][3680/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 2.0967 (1.9950)	Prec@1 42.500 (48.357)	Prec@5 75.500 (78.771)
Epoch: [56][3690/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.9947 (1.9952)	Prec@1 46.500 (48.351)	Prec@5 77.500 (78.768)
Epoch: [56][3700/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.9890 (1.9951)	Prec@1 51.000 (48.351)	Prec@5 78.000 (78.771)
Epoch: [56][3710/9018]	Time 0.619 (0.625)	Data 0.002 (0.004)	Loss 1.9092 (1.9951)	Prec@1 49.500 (48.352)	Prec@5 80.000 (78.771)
Epoch: [56][3720/9018]	Time 0.621 (0.625)	Data 0.004 (0.004)	Loss 2.0641 (1.9951)	Prec@1 44.500 (48.353)	Prec@5 78.000 (78.767)
Epoch: [56][3730/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 2.0398 (1.9952)	Prec@1 46.000 (48.352)	Prec@5 80.500 (78.767)
Epoch: [56][3740/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 2.1593 (1.9954)	Prec@1 44.000 (48.350)	Prec@5 74.000 (78.763)
Epoch: [56][3750/9018]	Time 0.752 (0.625)	Data 0.001 (0.004)	Loss 1.9079 (1.9952)	Prec@1 50.500 (48.352)	Prec@5 80.500 (78.766)
Epoch: [56][3760/9018]	Time 0.620 (0.625)	Data 0.016 (0.004)	Loss 2.1450 (1.9953)	Prec@1 42.500 (48.353)	Prec@5 77.500 (78.766)
Epoch: [56][3770/9018]	Time 0.643 (0.625)	Data 0.001 (0.004)	Loss 1.9982 (1.9954)	Prec@1 48.000 (48.350)	Prec@5 79.000 (78.763)
Epoch: [56][3780/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.7130 (1.9955)	Prec@1 53.000 (48.346)	Prec@5 83.500 (78.760)
Epoch: [56][3790/9018]	Time 0.616 (0.625)	Data 0.016 (0.004)	Loss 2.0903 (1.9956)	Prec@1 43.500 (48.344)	Prec@5 75.000 (78.756)
Epoch: [56][3800/9018]	Time 0.731 (0.625)	Data 0.001 (0.004)	Loss 2.1212 (1.9955)	Prec@1 46.000 (48.345)	Prec@5 74.500 (78.757)
Epoch: [56][3810/9018]	Time 0.637 (0.625)	Data 0.001 (0.004)	Loss 1.9975 (1.9958)	Prec@1 48.000 (48.341)	Prec@5 75.500 (78.751)
Epoch: [56][3820/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.9740 (1.9958)	Prec@1 48.000 (48.341)	Prec@5 80.500 (78.751)
Epoch: [56][3830/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.7968 (1.9959)	Prec@1 51.000 (48.339)	Prec@5 80.000 (78.748)
Epoch: [56][3840/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.7986 (1.9959)	Prec@1 52.500 (48.338)	Prec@5 83.000 (78.747)
Epoch: [56][3850/9018]	Time 0.646 (0.625)	Data 0.001 (0.004)	Loss 2.1899 (1.9960)	Prec@1 45.500 (48.337)	Prec@5 75.500 (78.746)
Epoch: [56][3860/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.7378 (1.9957)	Prec@1 49.000 (48.345)	Prec@5 86.000 (78.751)
Epoch: [56][3870/9018]	Time 0.607 (0.625)	Data 0.016 (0.004)	Loss 1.9207 (1.9959)	Prec@1 51.000 (48.343)	Prec@5 78.500 (78.747)
Epoch: [56][3880/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 2.2163 (1.9959)	Prec@1 48.000 (48.343)	Prec@5 73.500 (78.745)
Epoch: [56][3890/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.9154 (1.9959)	Prec@1 44.000 (48.339)	Prec@5 82.500 (78.747)
Epoch: [56][3900/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 2.1669 (1.9961)	Prec@1 46.500 (48.336)	Prec@5 74.000 (78.741)
Epoch: [56][3910/9018]	Time 0.640 (0.625)	Data 0.001 (0.004)	Loss 1.9927 (1.9961)	Prec@1 46.000 (48.335)	Prec@5 79.500 (78.739)
Epoch: [56][3920/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.9747 (1.9963)	Prec@1 48.500 (48.329)	Prec@5 79.500 (78.735)
Epoch: [56][3930/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 2.0538 (1.9964)	Prec@1 47.500 (48.328)	Prec@5 75.000 (78.734)
Epoch: [56][3940/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 2.1006 (1.9963)	Prec@1 46.000 (48.326)	Prec@5 76.000 (78.738)
Epoch: [56][3950/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 2.0649 (1.9964)	Prec@1 46.500 (48.324)	Prec@5 76.000 (78.735)
Epoch: [56][3960/9018]	Time 0.617 (0.625)	Data 0.014 (0.004)	Loss 2.0040 (1.9964)	Prec@1 52.500 (48.325)	Prec@5 77.000 (78.736)
Epoch: [56][3970/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 2.1618 (1.9967)	Prec@1 46.500 (48.321)	Prec@5 74.000 (78.731)
Epoch: [56][3980/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 2.0642 (1.9967)	Prec@1 50.000 (48.322)	Prec@5 80.500 (78.734)
Epoch: [56][3990/9018]	Time 0.615 (0.625)	Data 0.015 (0.004)	Loss 1.8110 (1.9967)	Prec@1 49.500 (48.317)	Prec@5 84.500 (78.738)
Epoch: [56][4000/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.9683 (1.9966)	Prec@1 49.500 (48.319)	Prec@5 76.500 (78.737)
Epoch: [56][4010/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 2.1251 (1.9966)	Prec@1 43.500 (48.314)	Prec@5 78.500 (78.737)
Epoch: [56][4020/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 2.0927 (1.9966)	Prec@1 49.000 (48.318)	Prec@5 77.500 (78.737)
Epoch: [56][4030/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.8719 (1.9966)	Prec@1 52.500 (48.316)	Prec@5 79.500 (78.737)
Epoch: [56][4040/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 2.1345 (1.9966)	Prec@1 48.500 (48.317)	Prec@5 78.500 (78.736)
Epoch: [56][4050/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 2.0319 (1.9967)	Prec@1 49.500 (48.315)	Prec@5 76.000 (78.733)
Epoch: [56][4060/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.9797 (1.9966)	Prec@1 46.000 (48.313)	Prec@5 79.000 (78.733)
Epoch: [56][4070/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.9532 (1.9966)	Prec@1 48.000 (48.316)	Prec@5 78.000 (78.732)
Epoch: [56][4080/9018]	Time 0.742 (0.625)	Data 0.001 (0.004)	Loss 1.8309 (1.9966)	Prec@1 50.000 (48.316)	Prec@5 81.000 (78.733)
Epoch: [56][4090/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 2.0461 (1.9965)	Prec@1 49.000 (48.318)	Prec@5 76.500 (78.732)
Epoch: [56][4100/9018]	Time 0.642 (0.625)	Data 0.016 (0.004)	Loss 1.9235 (1.9966)	Prec@1 47.500 (48.313)	Prec@5 77.000 (78.731)
Epoch: [56][4110/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.9144 (1.9964)	Prec@1 51.000 (48.317)	Prec@5 81.500 (78.733)
Epoch: [56][4120/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 2.0970 (1.9963)	Prec@1 47.500 (48.318)	Prec@5 76.500 (78.736)
Epoch: [56][4130/9018]	Time 0.765 (0.625)	Data 0.001 (0.004)	Loss 1.8826 (1.9963)	Prec@1 50.500 (48.319)	Prec@5 80.000 (78.734)
Epoch: [56][4140/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 2.0287 (1.9963)	Prec@1 45.500 (48.318)	Prec@5 80.000 (78.735)
Epoch: [56][4150/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 2.0455 (1.9963)	Prec@1 49.000 (48.318)	Prec@5 78.000 (78.735)
Epoch: [56][4160/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 2.2180 (1.9964)	Prec@1 43.000 (48.317)	Prec@5 77.000 (78.732)
Epoch: [56][4170/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 2.3705 (1.9966)	Prec@1 41.500 (48.311)	Prec@5 73.500 (78.726)
Epoch: [56][4180/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 2.0239 (1.9967)	Prec@1 46.000 (48.309)	Prec@5 82.500 (78.726)
Epoch: [56][4190/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 2.1342 (1.9967)	Prec@1 45.500 (48.303)	Prec@5 75.500 (78.726)
Epoch: [56][4200/9018]	Time 0.590 (0.625)	Data 0.001 (0.004)	Loss 1.8455 (1.9967)	Prec@1 53.500 (48.303)	Prec@5 83.500 (78.726)
Epoch: [56][4210/9018]	Time 0.629 (0.625)	Data 0.003 (0.004)	Loss 2.2312 (1.9966)	Prec@1 39.000 (48.303)	Prec@5 73.500 (78.727)
Epoch: [56][4220/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 2.2399 (1.9966)	Prec@1 39.500 (48.302)	Prec@5 77.000 (78.729)
Epoch: [56][4230/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 2.1060 (1.9966)	Prec@1 46.500 (48.301)	Prec@5 79.000 (78.729)
Epoch: [56][4240/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 2.0824 (1.9967)	Prec@1 47.000 (48.297)	Prec@5 74.500 (78.727)
Epoch: [56][4250/9018]	Time 0.630 (0.625)	Data 0.006 (0.004)	Loss 2.0853 (1.9967)	Prec@1 46.500 (48.297)	Prec@5 76.500 (78.727)
Epoch: [56][4260/9018]	Time 0.621 (0.625)	Data 0.027 (0.004)	Loss 2.1222 (1.9968)	Prec@1 43.500 (48.297)	Prec@5 76.500 (78.726)
Epoch: [56][4270/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 2.0047 (1.9969)	Prec@1 52.000 (48.297)	Prec@5 78.000 (78.725)
Epoch: [56][4280/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.9635 (1.9969)	Prec@1 50.000 (48.297)	Prec@5 79.500 (78.723)
Epoch: [56][4290/9018]	Time 0.637 (0.625)	Data 0.001 (0.004)	Loss 2.0283 (1.9968)	Prec@1 48.500 (48.299)	Prec@5 77.000 (78.724)
Epoch: [56][4300/9018]	Time 0.594 (0.625)	Data 0.015 (0.004)	Loss 2.0212 (1.9969)	Prec@1 49.000 (48.296)	Prec@5 76.000 (78.723)
Epoch: [56][4310/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 2.2560 (1.9968)	Prec@1 42.500 (48.298)	Prec@5 75.500 (78.725)
Epoch: [56][4320/9018]	Time 0.637 (0.625)	Data 0.001 (0.004)	Loss 2.1468 (1.9969)	Prec@1 42.000 (48.296)	Prec@5 78.500 (78.723)
Epoch: [56][4330/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.9388 (1.9970)	Prec@1 47.500 (48.295)	Prec@5 79.500 (78.722)
Epoch: [56][4340/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.9490 (1.9968)	Prec@1 46.500 (48.300)	Prec@5 81.000 (78.725)
Epoch: [56][4350/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.9817 (1.9967)	Prec@1 50.000 (48.299)	Prec@5 79.500 (78.726)
Epoch: [56][4360/9018]	Time 0.590 (0.625)	Data 0.001 (0.004)	Loss 1.9950 (1.9966)	Prec@1 46.000 (48.299)	Prec@5 80.000 (78.729)
Epoch: [56][4370/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 2.0019 (1.9966)	Prec@1 52.500 (48.300)	Prec@5 78.500 (78.730)
Epoch: [56][4380/9018]	Time 0.612 (0.625)	Data 0.012 (0.004)	Loss 2.2183 (1.9968)	Prec@1 44.500 (48.294)	Prec@5 74.000 (78.726)
Epoch: [56][4390/9018]	Time 0.627 (0.625)	Data 0.016 (0.004)	Loss 2.0233 (1.9967)	Prec@1 46.000 (48.293)	Prec@5 80.500 (78.730)
Epoch: [56][4400/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.9478 (1.9967)	Prec@1 46.500 (48.289)	Prec@5 79.500 (78.728)
Epoch: [56][4410/9018]	Time 0.812 (0.625)	Data 0.001 (0.004)	Loss 1.9084 (1.9969)	Prec@1 53.500 (48.284)	Prec@5 79.500 (78.725)
Epoch: [56][4420/9018]	Time 0.636 (0.625)	Data 0.002 (0.004)	Loss 2.1174 (1.9970)	Prec@1 42.500 (48.281)	Prec@5 77.000 (78.722)
Epoch: [56][4430/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0074 (1.9970)	Prec@1 52.000 (48.283)	Prec@5 79.000 (78.722)
Epoch: [56][4440/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9444 (1.9971)	Prec@1 53.500 (48.282)	Prec@5 79.500 (78.721)
Epoch: [56][4450/9018]	Time 0.629 (0.625)	Data 0.010 (0.003)	Loss 2.2011 (1.9970)	Prec@1 43.000 (48.284)	Prec@5 76.500 (78.727)
Epoch: [56][4460/9018]	Time 0.756 (0.625)	Data 0.001 (0.003)	Loss 1.9849 (1.9970)	Prec@1 49.500 (48.286)	Prec@5 76.000 (78.722)
Epoch: [56][4470/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 2.1226 (1.9971)	Prec@1 46.500 (48.285)	Prec@5 74.500 (78.723)
Epoch: [56][4480/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.8728 (1.9972)	Prec@1 51.500 (48.282)	Prec@5 84.000 (78.719)
Epoch: [56][4490/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.8562 (1.9973)	Prec@1 52.000 (48.280)	Prec@5 82.000 (78.717)
Epoch: [56][4500/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.1489 (1.9973)	Prec@1 43.000 (48.281)	Prec@5 77.000 (78.719)
Epoch: [56][4510/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.1927 (1.9973)	Prec@1 46.500 (48.283)	Prec@5 76.500 (78.718)
Epoch: [56][4520/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 2.0065 (1.9975)	Prec@1 50.000 (48.281)	Prec@5 75.500 (78.713)
Epoch: [56][4530/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.0238 (1.9976)	Prec@1 46.500 (48.279)	Prec@5 80.000 (78.710)
Epoch: [56][4540/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 2.0650 (1.9975)	Prec@1 45.500 (48.279)	Prec@5 77.500 (78.710)
Epoch: [56][4550/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.9532 (1.9974)	Prec@1 49.500 (48.278)	Prec@5 80.000 (78.711)
Epoch: [56][4560/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.9166 (1.9974)	Prec@1 50.500 (48.283)	Prec@5 81.000 (78.711)
Epoch: [56][4570/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 2.1565 (1.9975)	Prec@1 42.000 (48.279)	Prec@5 76.000 (78.710)
Epoch: [56][4580/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.1385 (1.9975)	Prec@1 47.500 (48.280)	Prec@5 77.500 (78.707)
Epoch: [56][4590/9018]	Time 0.621 (0.625)	Data 0.002 (0.003)	Loss 2.2139 (1.9977)	Prec@1 38.500 (48.276)	Prec@5 76.500 (78.704)
Epoch: [56][4600/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 2.0618 (1.9977)	Prec@1 46.000 (48.276)	Prec@5 80.500 (78.705)
Epoch: [56][4610/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.1200 (1.9976)	Prec@1 47.500 (48.280)	Prec@5 74.500 (78.705)
Epoch: [56][4620/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.2795 (1.9978)	Prec@1 43.500 (48.281)	Prec@5 73.000 (78.699)
Epoch: [56][4630/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8990 (1.9978)	Prec@1 53.500 (48.284)	Prec@5 78.000 (78.699)
Epoch: [56][4640/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.9211 (1.9977)	Prec@1 49.000 (48.282)	Prec@5 80.500 (78.699)
Epoch: [56][4650/9018]	Time 0.630 (0.625)	Data 0.010 (0.003)	Loss 2.0242 (1.9977)	Prec@1 49.000 (48.282)	Prec@5 78.000 (78.700)
Epoch: [56][4660/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.0675 (1.9977)	Prec@1 44.000 (48.281)	Prec@5 76.500 (78.699)
Epoch: [56][4670/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.9090 (1.9978)	Prec@1 46.500 (48.275)	Prec@5 82.000 (78.697)
Epoch: [56][4680/9018]	Time 0.641 (0.625)	Data 0.006 (0.003)	Loss 2.2315 (1.9978)	Prec@1 42.000 (48.275)	Prec@5 73.500 (78.697)
Epoch: [56][4690/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.8637 (1.9977)	Prec@1 47.500 (48.276)	Prec@5 80.000 (78.701)
Epoch: [56][4700/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 2.1541 (1.9977)	Prec@1 50.000 (48.276)	Prec@5 73.000 (78.700)
Epoch: [56][4710/9018]	Time 0.620 (0.625)	Data 0.014 (0.003)	Loss 2.1251 (1.9976)	Prec@1 46.000 (48.280)	Prec@5 75.500 (78.701)
Epoch: [56][4720/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.8953 (1.9976)	Prec@1 50.500 (48.282)	Prec@5 81.500 (78.700)
Epoch: [56][4730/9018]	Time 0.620 (0.625)	Data 0.013 (0.003)	Loss 1.8754 (1.9976)	Prec@1 50.500 (48.282)	Prec@5 80.500 (78.700)
Epoch: [56][4740/9018]	Time 0.738 (0.625)	Data 0.001 (0.003)	Loss 2.1503 (1.9976)	Prec@1 43.000 (48.283)	Prec@5 75.500 (78.700)
Epoch: [56][4750/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.7954 (1.9975)	Prec@1 55.000 (48.286)	Prec@5 80.000 (78.700)
Epoch: [56][4760/9018]	Time 0.626 (0.625)	Data 0.012 (0.003)	Loss 1.8827 (1.9974)	Prec@1 52.000 (48.289)	Prec@5 79.500 (78.701)
Epoch: [56][4770/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 2.1801 (1.9975)	Prec@1 46.500 (48.291)	Prec@5 73.500 (78.699)
Epoch: [56][4780/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.9542 (1.9975)	Prec@1 50.000 (48.291)	Prec@5 83.000 (78.700)
Epoch: [56][4790/9018]	Time 0.794 (0.625)	Data 0.001 (0.003)	Loss 2.1235 (1.9975)	Prec@1 43.500 (48.289)	Prec@5 76.000 (78.700)
Epoch: [56][4800/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.2710 (1.9976)	Prec@1 43.000 (48.286)	Prec@5 73.000 (78.700)
Epoch: [56][4810/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.0896 (1.9975)	Prec@1 46.000 (48.285)	Prec@5 80.000 (78.701)
Epoch: [56][4820/9018]	Time 0.615 (0.625)	Data 0.016 (0.003)	Loss 2.0024 (1.9977)	Prec@1 50.000 (48.284)	Prec@5 77.500 (78.697)
Epoch: [56][4830/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.1552 (1.9977)	Prec@1 45.500 (48.284)	Prec@5 76.000 (78.697)
Epoch: [56][4840/9018]	Time 0.644 (0.625)	Data 0.001 (0.003)	Loss 1.9708 (1.9977)	Prec@1 52.000 (48.285)	Prec@5 80.500 (78.698)
Epoch: [56][4850/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.2484 (1.9979)	Prec@1 39.000 (48.280)	Prec@5 77.000 (78.693)
Epoch: [56][4860/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.1327 (1.9979)	Prec@1 46.500 (48.277)	Prec@5 81.000 (78.693)
Epoch: [56][4870/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.2473 (1.9980)	Prec@1 39.500 (48.275)	Prec@5 77.000 (78.695)
Epoch: [56][4880/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0405 (1.9980)	Prec@1 51.500 (48.273)	Prec@5 77.000 (78.693)
Epoch: [56][4890/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.8921 (1.9982)	Prec@1 48.000 (48.268)	Prec@5 84.000 (78.691)
Epoch: [56][4900/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.1007 (1.9984)	Prec@1 44.500 (48.267)	Prec@5 76.500 (78.686)
Epoch: [56][4910/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.0799 (1.9984)	Prec@1 46.000 (48.266)	Prec@5 77.000 (78.686)
Epoch: [56][4920/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.9815 (1.9985)	Prec@1 48.000 (48.263)	Prec@5 78.500 (78.683)
Epoch: [56][4930/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.8033 (1.9984)	Prec@1 50.500 (48.266)	Prec@5 80.000 (78.687)
Epoch: [56][4940/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0478 (1.9985)	Prec@1 45.500 (48.262)	Prec@5 79.500 (78.687)
Epoch: [56][4950/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 2.0104 (1.9986)	Prec@1 45.000 (48.258)	Prec@5 79.500 (78.687)
Epoch: [56][4960/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 2.0807 (1.9986)	Prec@1 45.500 (48.258)	Prec@5 78.500 (78.684)
Epoch: [56][4970/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.8797 (1.9985)	Prec@1 51.000 (48.262)	Prec@5 80.000 (78.686)
Epoch: [56][4980/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.9293 (1.9985)	Prec@1 54.000 (48.261)	Prec@5 82.000 (78.686)
Epoch: [56][4990/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 2.1046 (1.9985)	Prec@1 50.000 (48.260)	Prec@5 75.500 (78.685)
Epoch: [56][5000/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.0957 (1.9987)	Prec@1 47.500 (48.258)	Prec@5 76.000 (78.680)
Epoch: [56][5010/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.1097 (1.9989)	Prec@1 47.500 (48.256)	Prec@5 78.000 (78.678)
Epoch: [56][5020/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.9167 (1.9989)	Prec@1 52.000 (48.255)	Prec@5 84.500 (78.679)
Epoch: [56][5030/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.9166 (1.9989)	Prec@1 48.000 (48.259)	Prec@5 81.000 (78.681)
Epoch: [56][5040/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.2703 (1.9991)	Prec@1 39.500 (48.256)	Prec@5 73.500 (78.675)
Epoch: [56][5050/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.1477 (1.9990)	Prec@1 41.000 (48.257)	Prec@5 77.500 (78.677)
Epoch: [56][5060/9018]	Time 0.636 (0.625)	Data 0.016 (0.003)	Loss 1.7695 (1.9990)	Prec@1 49.000 (48.258)	Prec@5 82.500 (78.677)
Epoch: [56][5070/9018]	Time 0.743 (0.625)	Data 0.001 (0.003)	Loss 1.8620 (1.9990)	Prec@1 51.500 (48.257)	Prec@5 83.000 (78.675)
Epoch: [56][5080/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.9764 (1.9989)	Prec@1 48.500 (48.259)	Prec@5 79.000 (78.677)
Epoch: [56][5090/9018]	Time 0.598 (0.625)	Data 0.006 (0.003)	Loss 1.7094 (1.9989)	Prec@1 52.500 (48.260)	Prec@5 84.500 (78.677)
Epoch: [56][5100/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.0404 (1.9990)	Prec@1 48.000 (48.255)	Prec@5 79.500 (78.674)
Epoch: [56][5110/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 2.0052 (1.9991)	Prec@1 49.000 (48.253)	Prec@5 79.000 (78.672)
Epoch: [56][5120/9018]	Time 0.735 (0.625)	Data 0.001 (0.003)	Loss 2.0188 (1.9991)	Prec@1 49.000 (48.254)	Prec@5 77.000 (78.671)
Epoch: [56][5130/9018]	Time 0.604 (0.625)	Data 0.015 (0.003)	Loss 1.9655 (1.9992)	Prec@1 49.500 (48.252)	Prec@5 77.000 (78.672)
Epoch: [56][5140/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.9943 (1.9991)	Prec@1 51.500 (48.254)	Prec@5 76.500 (78.673)
Epoch: [56][5150/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.1227 (1.9990)	Prec@1 48.500 (48.255)	Prec@5 78.000 (78.674)
Epoch: [56][5160/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0751 (1.9992)	Prec@1 49.000 (48.253)	Prec@5 77.000 (78.672)
Epoch: [56][5170/9018]	Time 0.646 (0.625)	Data 0.027 (0.003)	Loss 2.2445 (1.9993)	Prec@1 42.500 (48.250)	Prec@5 74.500 (78.672)
Epoch: [56][5180/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 2.0541 (1.9995)	Prec@1 47.500 (48.249)	Prec@5 76.000 (78.669)
Epoch: [56][5190/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 2.2303 (1.9996)	Prec@1 43.500 (48.249)	Prec@5 75.500 (78.666)
Epoch: [56][5200/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.2579 (1.9997)	Prec@1 38.000 (48.249)	Prec@5 72.000 (78.664)
Epoch: [56][5210/9018]	Time 0.610 (0.625)	Data 0.005 (0.003)	Loss 1.9252 (1.9996)	Prec@1 50.000 (48.251)	Prec@5 79.500 (78.668)
Epoch: [56][5220/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.8570 (1.9996)	Prec@1 53.000 (48.252)	Prec@5 81.500 (78.668)
Epoch: [56][5230/9018]	Time 0.628 (0.625)	Data 0.008 (0.003)	Loss 2.0390 (1.9996)	Prec@1 47.500 (48.253)	Prec@5 79.500 (78.670)
Epoch: [56][5240/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.9769 (1.9996)	Prec@1 54.500 (48.252)	Prec@5 77.000 (78.669)
Epoch: [56][5250/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 1.9911 (1.9995)	Prec@1 49.000 (48.254)	Prec@5 79.500 (78.672)
Epoch: [56][5260/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.8429 (1.9995)	Prec@1 55.500 (48.256)	Prec@5 81.500 (78.672)
Epoch: [56][5270/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.0688 (1.9995)	Prec@1 47.000 (48.256)	Prec@5 75.000 (78.672)
Epoch: [56][5280/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.3130 (1.9996)	Prec@1 41.500 (48.254)	Prec@5 73.500 (78.671)
Epoch: [56][5290/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.0131 (1.9996)	Prec@1 52.000 (48.254)	Prec@5 78.000 (78.668)
Epoch: [56][5300/9018]	Time 0.613 (0.625)	Data 0.013 (0.003)	Loss 1.8833 (1.9996)	Prec@1 50.500 (48.254)	Prec@5 82.500 (78.671)
Epoch: [56][5310/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 2.2223 (1.9996)	Prec@1 41.500 (48.251)	Prec@5 77.000 (78.672)
Epoch: [56][5320/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 2.1739 (1.9997)	Prec@1 47.500 (48.251)	Prec@5 77.000 (78.670)
Epoch: [56][5330/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.8989 (1.9997)	Prec@1 49.000 (48.252)	Prec@5 83.500 (78.670)
Epoch: [56][5340/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 2.0100 (1.9998)	Prec@1 50.000 (48.249)	Prec@5 81.000 (78.669)
Epoch: [56][5350/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.0617 (1.9999)	Prec@1 48.000 (48.251)	Prec@5 76.500 (78.668)
Epoch: [56][5360/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.0525 (1.9999)	Prec@1 48.000 (48.251)	Prec@5 74.000 (78.668)
Epoch: [56][5370/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.9630 (2.0000)	Prec@1 49.000 (48.251)	Prec@5 80.000 (78.665)
Epoch: [56][5380/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.8869 (1.9999)	Prec@1 52.500 (48.251)	Prec@5 79.000 (78.665)
Epoch: [56][5390/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.9373 (1.9999)	Prec@1 48.000 (48.252)	Prec@5 83.500 (78.666)
Epoch: [56][5400/9018]	Time 0.817 (0.625)	Data 0.001 (0.003)	Loss 2.2205 (2.0000)	Prec@1 47.500 (48.249)	Prec@5 74.000 (78.662)
Epoch: [56][5410/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.2607 (2.0000)	Prec@1 43.000 (48.250)	Prec@5 72.500 (78.663)
Epoch: [56][5420/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 2.0413 (2.0001)	Prec@1 46.500 (48.252)	Prec@5 77.500 (78.663)
Epoch: [56][5430/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.8151 (2.0000)	Prec@1 53.000 (48.254)	Prec@5 80.500 (78.665)
Epoch: [56][5440/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.1464 (2.0000)	Prec@1 43.500 (48.254)	Prec@5 76.500 (78.664)
Epoch: [56][5450/9018]	Time 0.750 (0.625)	Data 0.001 (0.003)	Loss 2.1770 (2.0000)	Prec@1 44.000 (48.255)	Prec@5 73.500 (78.664)
Epoch: [56][5460/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.9910 (2.0000)	Prec@1 48.000 (48.256)	Prec@5 80.500 (78.665)
Epoch: [56][5470/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.9503 (2.0000)	Prec@1 49.500 (48.258)	Prec@5 79.500 (78.666)
Epoch: [56][5480/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.9353 (2.0000)	Prec@1 48.000 (48.255)	Prec@5 80.000 (78.665)
Epoch: [56][5490/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0984 (2.0000)	Prec@1 49.000 (48.255)	Prec@5 73.500 (78.666)
Epoch: [56][5500/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.0390 (2.0001)	Prec@1 47.500 (48.253)	Prec@5 80.500 (78.666)
Epoch: [56][5510/9018]	Time 0.669 (0.625)	Data 0.001 (0.003)	Loss 2.1135 (2.0001)	Prec@1 42.500 (48.253)	Prec@5 75.500 (78.663)
Epoch: [56][5520/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.7309 (2.0001)	Prec@1 56.000 (48.256)	Prec@5 82.500 (78.664)
Epoch: [56][5530/9018]	Time 0.665 (0.625)	Data 0.001 (0.003)	Loss 2.0907 (2.0002)	Prec@1 43.500 (48.255)	Prec@5 78.500 (78.664)
Epoch: [56][5540/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.8829 (2.0002)	Prec@1 52.500 (48.254)	Prec@5 82.500 (78.664)
Epoch: [56][5550/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 1.9485 (2.0002)	Prec@1 44.500 (48.253)	Prec@5 78.500 (78.664)
Epoch: [56][5560/9018]	Time 0.617 (0.625)	Data 0.016 (0.003)	Loss 2.1849 (2.0001)	Prec@1 43.000 (48.252)	Prec@5 75.000 (78.666)
Epoch: [56][5570/9018]	Time 0.608 (0.625)	Data 0.008 (0.003)	Loss 1.9743 (2.0001)	Prec@1 44.000 (48.251)	Prec@5 78.000 (78.666)
Epoch: [56][5580/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.1885 (2.0003)	Prec@1 46.500 (48.246)	Prec@5 77.500 (78.664)
Epoch: [56][5590/9018]	Time 0.629 (0.625)	Data 0.017 (0.003)	Loss 1.9805 (2.0004)	Prec@1 49.000 (48.244)	Prec@5 78.500 (78.662)
Epoch: [56][5600/9018]	Time 0.619 (0.625)	Data 0.013 (0.003)	Loss 1.8640 (2.0004)	Prec@1 48.500 (48.245)	Prec@5 82.500 (78.661)
Epoch: [56][5610/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.9767 (2.0004)	Prec@1 49.000 (48.243)	Prec@5 80.000 (78.658)
Epoch: [56][5620/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.8526 (2.0003)	Prec@1 50.500 (48.244)	Prec@5 81.000 (78.660)
Epoch: [56][5630/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 2.1297 (2.0004)	Prec@1 46.500 (48.242)	Prec@5 74.500 (78.659)
Epoch: [56][5640/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9675 (2.0003)	Prec@1 48.500 (48.244)	Prec@5 79.000 (78.662)
Epoch: [56][5650/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.1726 (2.0004)	Prec@1 40.000 (48.241)	Prec@5 74.500 (78.658)
Epoch: [56][5660/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.9040 (2.0004)	Prec@1 47.000 (48.241)	Prec@5 82.000 (78.660)
Epoch: [56][5670/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.1007 (2.0004)	Prec@1 42.500 (48.241)	Prec@5 77.000 (78.661)
Epoch: [56][5680/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.9722 (2.0004)	Prec@1 48.000 (48.240)	Prec@5 82.000 (78.661)
Epoch: [56][5690/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.1983 (2.0003)	Prec@1 47.500 (48.241)	Prec@5 77.500 (78.664)
Epoch: [56][5700/9018]	Time 0.618 (0.625)	Data 0.014 (0.003)	Loss 2.1506 (2.0003)	Prec@1 45.500 (48.242)	Prec@5 76.000 (78.664)
Epoch: [56][5710/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.1291 (2.0003)	Prec@1 45.000 (48.243)	Prec@5 74.000 (78.666)
Epoch: [56][5720/9018]	Time 0.604 (0.625)	Data 0.009 (0.003)	Loss 1.9806 (2.0003)	Prec@1 47.500 (48.242)	Prec@5 80.000 (78.665)
Epoch: [56][5730/9018]	Time 0.786 (0.625)	Data 0.001 (0.003)	Loss 2.2128 (2.0003)	Prec@1 48.000 (48.246)	Prec@5 74.500 (78.665)
Epoch: [56][5740/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.0782 (2.0003)	Prec@1 42.500 (48.244)	Prec@5 82.000 (78.664)
Epoch: [56][5750/9018]	Time 0.615 (0.625)	Data 0.005 (0.003)	Loss 2.0453 (2.0004)	Prec@1 46.000 (48.242)	Prec@5 78.000 (78.663)
Epoch: [56][5760/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 1.9537 (2.0003)	Prec@1 47.000 (48.243)	Prec@5 81.500 (78.666)
Epoch: [56][5770/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.0727 (2.0003)	Prec@1 48.500 (48.245)	Prec@5 76.500 (78.666)
Epoch: [56][5780/9018]	Time 0.716 (0.625)	Data 0.001 (0.003)	Loss 2.0349 (2.0003)	Prec@1 44.500 (48.243)	Prec@5 78.000 (78.666)
Epoch: [56][5790/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.0621 (2.0004)	Prec@1 48.000 (48.241)	Prec@5 76.500 (78.666)
Epoch: [56][5800/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0522 (2.0003)	Prec@1 45.000 (48.241)	Prec@5 78.000 (78.667)
Epoch: [56][5810/9018]	Time 0.626 (0.625)	Data 0.004 (0.003)	Loss 1.8537 (2.0004)	Prec@1 55.000 (48.239)	Prec@5 81.500 (78.663)
Epoch: [56][5820/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8318 (2.0004)	Prec@1 56.500 (48.238)	Prec@5 81.500 (78.664)
Epoch: [56][5830/9018]	Time 0.634 (0.625)	Data 0.014 (0.003)	Loss 1.8531 (2.0004)	Prec@1 49.000 (48.237)	Prec@5 81.000 (78.666)
Epoch: [56][5840/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 2.1358 (2.0004)	Prec@1 46.500 (48.236)	Prec@5 74.000 (78.665)
Epoch: [56][5850/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 2.0293 (2.0005)	Prec@1 44.500 (48.233)	Prec@5 76.500 (78.662)
Epoch: [56][5860/9018]	Time 0.638 (0.625)	Data 0.015 (0.003)	Loss 2.1003 (2.0005)	Prec@1 45.000 (48.234)	Prec@5 76.500 (78.663)
Epoch: [56][5870/9018]	Time 0.661 (0.625)	Data 0.001 (0.003)	Loss 1.9245 (2.0006)	Prec@1 49.000 (48.229)	Prec@5 79.500 (78.661)
Epoch: [56][5880/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.0402 (2.0006)	Prec@1 45.000 (48.231)	Prec@5 75.000 (78.660)
Epoch: [56][5890/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.1412 (2.0006)	Prec@1 45.000 (48.229)	Prec@5 77.500 (78.660)
Epoch: [56][5900/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 2.3122 (2.0008)	Prec@1 42.500 (48.227)	Prec@5 70.000 (78.659)
Epoch: [56][5910/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.9690 (2.0007)	Prec@1 47.500 (48.227)	Prec@5 76.500 (78.658)
Epoch: [56][5920/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.9484 (2.0008)	Prec@1 49.500 (48.226)	Prec@5 81.000 (78.658)
Epoch: [56][5930/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.1727 (2.0008)	Prec@1 41.000 (48.224)	Prec@5 74.500 (78.658)
Epoch: [56][5940/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.0163 (2.0009)	Prec@1 44.500 (48.224)	Prec@5 76.500 (78.657)
Epoch: [56][5950/9018]	Time 0.614 (0.625)	Data 0.014 (0.003)	Loss 1.8488 (2.0009)	Prec@1 52.000 (48.221)	Prec@5 79.000 (78.657)
Epoch: [56][5960/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.0172 (2.0010)	Prec@1 48.500 (48.219)	Prec@5 76.000 (78.654)
Epoch: [56][5970/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0383 (2.0010)	Prec@1 42.500 (48.216)	Prec@5 77.500 (78.653)
Epoch: [56][5980/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 2.0054 (2.0012)	Prec@1 47.000 (48.213)	Prec@5 79.500 (78.650)
Epoch: [56][5990/9018]	Time 0.620 (0.625)	Data 0.017 (0.003)	Loss 2.0705 (2.0011)	Prec@1 44.500 (48.214)	Prec@5 74.000 (78.650)
Epoch: [56][6000/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.9019 (2.0011)	Prec@1 47.500 (48.211)	Prec@5 77.500 (78.649)
Epoch: [56][6010/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.9096 (2.0011)	Prec@1 49.500 (48.212)	Prec@5 82.500 (78.650)
Epoch: [56][6020/9018]	Time 0.605 (0.625)	Data 0.009 (0.003)	Loss 2.0338 (2.0011)	Prec@1 46.000 (48.211)	Prec@5 78.500 (78.649)
Epoch: [56][6030/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.1850 (2.0012)	Prec@1 48.500 (48.208)	Prec@5 72.500 (78.647)
Epoch: [56][6040/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.7967 (2.0012)	Prec@1 53.000 (48.209)	Prec@5 78.500 (78.648)
Epoch: [56][6050/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.9778 (2.0012)	Prec@1 54.500 (48.209)	Prec@5 80.000 (78.648)
Epoch: [56][6060/9018]	Time 0.757 (0.625)	Data 0.001 (0.003)	Loss 1.7931 (2.0012)	Prec@1 49.500 (48.209)	Prec@5 81.500 (78.647)
Epoch: [56][6070/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.1515 (2.0012)	Prec@1 45.000 (48.209)	Prec@5 78.500 (78.647)
Epoch: [56][6080/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.9656 (2.0012)	Prec@1 47.000 (48.210)	Prec@5 77.000 (78.647)
Epoch: [56][6090/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.0121 (2.0011)	Prec@1 46.000 (48.212)	Prec@5 79.500 (78.647)
Epoch: [56][6100/9018]	Time 0.620 (0.625)	Data 0.004 (0.003)	Loss 2.1264 (2.0012)	Prec@1 45.500 (48.211)	Prec@5 80.000 (78.644)
Epoch: [56][6110/9018]	Time 0.754 (0.625)	Data 0.001 (0.003)	Loss 2.0581 (2.0012)	Prec@1 46.000 (48.211)	Prec@5 78.000 (78.647)
Epoch: [56][6120/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.9710 (2.0012)	Prec@1 45.500 (48.212)	Prec@5 80.000 (78.647)
Epoch: [56][6130/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.7207 (2.0011)	Prec@1 53.500 (48.212)	Prec@5 83.500 (78.648)
Epoch: [56][6140/9018]	Time 0.618 (0.625)	Data 0.016 (0.003)	Loss 2.0541 (2.0011)	Prec@1 46.500 (48.211)	Prec@5 79.500 (78.648)
Epoch: [56][6150/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.2532 (2.0012)	Prec@1 47.000 (48.211)	Prec@5 74.000 (78.645)
Epoch: [56][6160/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.1116 (2.0012)	Prec@1 46.000 (48.210)	Prec@5 75.000 (78.646)
Epoch: [56][6170/9018]	Time 0.645 (0.625)	Data 0.016 (0.003)	Loss 2.1797 (2.0013)	Prec@1 47.000 (48.208)	Prec@5 76.000 (78.643)
Epoch: [56][6180/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.1317 (2.0013)	Prec@1 46.500 (48.206)	Prec@5 77.500 (78.643)
Epoch: [56][6190/9018]	Time 0.604 (0.625)	Data 0.007 (0.003)	Loss 1.9684 (2.0013)	Prec@1 51.500 (48.206)	Prec@5 75.500 (78.642)
Epoch: [56][6200/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.1863 (2.0013)	Prec@1 45.500 (48.207)	Prec@5 76.500 (78.641)
Epoch: [56][6210/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.8340 (2.0013)	Prec@1 52.000 (48.206)	Prec@5 81.000 (78.641)
Epoch: [56][6220/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.8759 (2.0014)	Prec@1 51.500 (48.203)	Prec@5 77.500 (78.638)
Epoch: [56][6230/9018]	Time 0.624 (0.625)	Data 0.003 (0.003)	Loss 2.0984 (2.0014)	Prec@1 43.500 (48.204)	Prec@5 76.500 (78.639)
Epoch: [56][6240/9018]	Time 0.591 (0.625)	Data 0.016 (0.003)	Loss 1.9363 (2.0015)	Prec@1 48.000 (48.203)	Prec@5 83.000 (78.637)
Epoch: [56][6250/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0928 (2.0015)	Prec@1 43.500 (48.202)	Prec@5 77.000 (78.637)
Epoch: [56][6260/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.9036 (2.0014)	Prec@1 49.000 (48.201)	Prec@5 81.500 (78.640)
Epoch: [56][6270/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 2.0278 (2.0014)	Prec@1 46.000 (48.200)	Prec@5 79.000 (78.641)
Epoch: [56][6280/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.5189 (2.0015)	Prec@1 42.000 (48.199)	Prec@5 68.500 (78.639)
Epoch: [56][6290/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.3397 (2.0015)	Prec@1 45.000 (48.198)	Prec@5 72.500 (78.637)
Epoch: [56][6300/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.1251 (2.0017)	Prec@1 46.500 (48.196)	Prec@5 78.500 (78.635)
Epoch: [56][6310/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.0573 (2.0016)	Prec@1 45.500 (48.196)	Prec@5 77.000 (78.636)
Epoch: [56][6320/9018]	Time 0.637 (0.625)	Data 0.016 (0.003)	Loss 1.8337 (2.0016)	Prec@1 53.500 (48.196)	Prec@5 82.000 (78.637)
Epoch: [56][6330/9018]	Time 0.661 (0.625)	Data 0.001 (0.003)	Loss 2.0229 (2.0017)	Prec@1 48.500 (48.192)	Prec@5 78.500 (78.636)
Epoch: [56][6340/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.8757 (2.0018)	Prec@1 47.500 (48.191)	Prec@5 79.000 (78.636)
Epoch: [56][6350/9018]	Time 0.606 (0.625)	Data 0.014 (0.003)	Loss 1.9065 (2.0017)	Prec@1 51.000 (48.191)	Prec@5 79.500 (78.636)
Epoch: [56][6360/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 2.2531 (2.0018)	Prec@1 48.500 (48.189)	Prec@5 72.500 (78.635)
Epoch: [56][6370/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.0449 (2.0017)	Prec@1 49.000 (48.193)	Prec@5 76.500 (78.636)
Epoch: [56][6380/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.9886 (2.0017)	Prec@1 48.000 (48.191)	Prec@5 81.000 (78.637)
Epoch: [56][6390/9018]	Time 0.740 (0.625)	Data 0.001 (0.003)	Loss 1.9887 (2.0018)	Prec@1 46.500 (48.191)	Prec@5 83.500 (78.638)
Epoch: [56][6400/9018]	Time 0.608 (0.625)	Data 0.017 (0.003)	Loss 2.0471 (2.0018)	Prec@1 45.000 (48.189)	Prec@5 78.500 (78.637)
Epoch: [56][6410/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.1860 (2.0019)	Prec@1 44.500 (48.187)	Prec@5 78.000 (78.638)
Epoch: [56][6420/9018]	Time 0.604 (0.625)	Data 0.006 (0.003)	Loss 2.0234 (2.0017)	Prec@1 45.000 (48.190)	Prec@5 78.000 (78.641)
Epoch: [56][6430/9018]	Time 0.618 (0.625)	Data 0.006 (0.003)	Loss 1.9397 (2.0018)	Prec@1 52.000 (48.188)	Prec@5 78.000 (78.640)
Epoch: [56][6440/9018]	Time 0.740 (0.625)	Data 0.001 (0.003)	Loss 1.9731 (2.0018)	Prec@1 51.500 (48.188)	Prec@5 78.500 (78.640)
Epoch: [56][6450/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.0052 (2.0019)	Prec@1 46.500 (48.185)	Prec@5 79.500 (78.639)
Epoch: [56][6460/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 2.0688 (2.0020)	Prec@1 45.000 (48.184)	Prec@5 75.500 (78.638)
Epoch: [56][6470/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 2.1065 (2.0020)	Prec@1 47.000 (48.183)	Prec@5 77.000 (78.637)
Epoch: [56][6480/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.9780 (2.0020)	Prec@1 47.500 (48.181)	Prec@5 77.500 (78.636)
Epoch: [56][6490/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 2.0043 (2.0020)	Prec@1 54.500 (48.182)	Prec@5 74.500 (78.636)
Epoch: [56][6500/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 2.0289 (2.0020)	Prec@1 47.500 (48.182)	Prec@5 80.500 (78.638)
Epoch: [56][6510/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.9734 (2.0019)	Prec@1 48.500 (48.186)	Prec@5 78.500 (78.639)
Epoch: [56][6520/9018]	Time 0.610 (0.625)	Data 0.010 (0.003)	Loss 2.0155 (2.0020)	Prec@1 46.500 (48.187)	Prec@5 80.500 (78.639)
Epoch: [56][6530/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.7176 (2.0019)	Prec@1 55.500 (48.188)	Prec@5 83.000 (78.639)
Epoch: [56][6540/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.8813 (2.0019)	Prec@1 49.500 (48.188)	Prec@5 82.000 (78.639)
Epoch: [56][6550/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9289 (2.0019)	Prec@1 44.500 (48.190)	Prec@5 79.500 (78.639)
Epoch: [56][6560/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.0267 (2.0019)	Prec@1 46.500 (48.189)	Prec@5 81.500 (78.639)
Epoch: [56][6570/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.0528 (2.0020)	Prec@1 43.500 (48.187)	Prec@5 79.500 (78.639)
Epoch: [56][6580/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0833 (2.0020)	Prec@1 44.000 (48.188)	Prec@5 79.500 (78.639)
Epoch: [56][6590/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.0479 (2.0020)	Prec@1 45.500 (48.187)	Prec@5 76.000 (78.640)
Epoch: [56][6600/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 2.0454 (2.0020)	Prec@1 49.000 (48.186)	Prec@5 75.500 (78.639)
Epoch: [56][6610/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.9705 (2.0020)	Prec@1 50.000 (48.185)	Prec@5 79.500 (78.639)
Epoch: [56][6620/9018]	Time 0.618 (0.625)	Data 0.004 (0.003)	Loss 2.1951 (2.0021)	Prec@1 43.500 (48.186)	Prec@5 75.000 (78.639)
Epoch: [56][6630/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.1901 (2.0022)	Prec@1 46.000 (48.183)	Prec@5 75.500 (78.635)
Epoch: [56][6640/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.0479 (2.0022)	Prec@1 49.500 (48.184)	Prec@5 78.500 (78.635)
Epoch: [56][6650/9018]	Time 0.614 (0.625)	Data 0.014 (0.003)	Loss 2.0836 (2.0022)	Prec@1 45.500 (48.184)	Prec@5 81.500 (78.635)
Epoch: [56][6660/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.1691 (2.0022)	Prec@1 46.000 (48.185)	Prec@5 73.500 (78.633)
Epoch: [56][6670/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.0364 (2.0022)	Prec@1 48.500 (48.181)	Prec@5 80.000 (78.633)
Epoch: [56][6680/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.8350 (2.0023)	Prec@1 51.500 (48.182)	Prec@5 81.500 (78.633)
Epoch: [56][6690/9018]	Time 0.612 (0.625)	Data 0.003 (0.003)	Loss 1.9110 (2.0023)	Prec@1 50.500 (48.183)	Prec@5 81.000 (78.633)
Epoch: [56][6700/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.1119 (2.0023)	Prec@1 48.000 (48.183)	Prec@5 75.000 (78.633)
Epoch: [56][6710/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.7723 (2.0024)	Prec@1 53.500 (48.180)	Prec@5 84.000 (78.633)
Epoch: [56][6720/9018]	Time 0.760 (0.625)	Data 0.001 (0.003)	Loss 1.9179 (2.0024)	Prec@1 50.000 (48.179)	Prec@5 80.500 (78.630)
Epoch: [56][6730/9018]	Time 0.645 (0.625)	Data 0.001 (0.003)	Loss 1.9868 (2.0024)	Prec@1 53.000 (48.180)	Prec@5 77.000 (78.629)
Epoch: [56][6740/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.0659 (2.0024)	Prec@1 48.000 (48.180)	Prec@5 79.500 (78.631)
Epoch: [56][6750/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.1257 (2.0025)	Prec@1 43.500 (48.179)	Prec@5 74.000 (78.629)
Epoch: [56][6760/9018]	Time 0.656 (0.625)	Data 0.001 (0.003)	Loss 1.8295 (2.0024)	Prec@1 54.500 (48.181)	Prec@5 79.500 (78.632)
Epoch: [56][6770/9018]	Time 0.776 (0.625)	Data 0.001 (0.003)	Loss 2.0275 (2.0023)	Prec@1 51.000 (48.184)	Prec@5 78.000 (78.632)
Epoch: [56][6780/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 1.8422 (2.0024)	Prec@1 53.000 (48.183)	Prec@5 81.500 (78.631)
Epoch: [56][6790/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 2.4702 (2.0024)	Prec@1 39.500 (48.182)	Prec@5 67.000 (78.631)
Epoch: [56][6800/9018]	Time 0.631 (0.625)	Data 0.002 (0.003)	Loss 2.0595 (2.0024)	Prec@1 48.000 (48.182)	Prec@5 76.000 (78.630)
Epoch: [56][6810/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.9597 (2.0024)	Prec@1 51.000 (48.181)	Prec@5 80.000 (78.630)
Epoch: [56][6820/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.1378 (2.0025)	Prec@1 42.000 (48.178)	Prec@5 74.000 (78.629)
Epoch: [56][6830/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.8871 (2.0025)	Prec@1 51.000 (48.178)	Prec@5 80.500 (78.630)
Epoch: [56][6840/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.9846 (2.0025)	Prec@1 50.500 (48.178)	Prec@5 78.500 (78.630)
Epoch: [56][6850/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8196 (2.0024)	Prec@1 51.000 (48.178)	Prec@5 81.000 (78.631)
Epoch: [56][6860/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 2.2179 (2.0025)	Prec@1 43.500 (48.176)	Prec@5 77.500 (78.629)
Epoch: [56][6870/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9136 (2.0025)	Prec@1 48.000 (48.174)	Prec@5 82.000 (78.629)
Epoch: [56][6880/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.9425 (2.0026)	Prec@1 53.000 (48.171)	Prec@5 80.500 (78.628)
Epoch: [56][6890/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.8723 (2.0027)	Prec@1 55.500 (48.171)	Prec@5 79.500 (78.625)
Epoch: [56][6900/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.8647 (2.0027)	Prec@1 49.500 (48.171)	Prec@5 84.000 (78.623)
Epoch: [56][6910/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 2.0626 (2.0028)	Prec@1 49.000 (48.170)	Prec@5 75.000 (78.622)
Epoch: [56][6920/9018]	Time 0.598 (0.625)	Data 0.014 (0.003)	Loss 2.1438 (2.0028)	Prec@1 39.500 (48.169)	Prec@5 77.000 (78.624)
Epoch: [56][6930/9018]	Time 0.627 (0.625)	Data 0.004 (0.003)	Loss 2.0513 (2.0027)	Prec@1 49.000 (48.171)	Prec@5 79.500 (78.624)
Epoch: [56][6940/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.0035 (2.0028)	Prec@1 45.500 (48.169)	Prec@5 73.500 (78.624)
Epoch: [56][6950/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.0017 (2.0028)	Prec@1 45.500 (48.172)	Prec@5 81.000 (78.624)
Epoch: [56][6960/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.1545 (2.0028)	Prec@1 45.000 (48.171)	Prec@5 78.500 (78.624)
Epoch: [56][6970/9018]	Time 0.622 (0.625)	Data 0.009 (0.003)	Loss 2.1165 (2.0029)	Prec@1 47.500 (48.171)	Prec@5 76.000 (78.623)
Epoch: [56][6980/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.0898 (2.0030)	Prec@1 44.500 (48.170)	Prec@5 78.500 (78.622)
Epoch: [56][6990/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.9533 (2.0029)	Prec@1 51.000 (48.169)	Prec@5 79.000 (78.622)
Epoch: [56][7000/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 2.0385 (2.0030)	Prec@1 47.000 (48.169)	Prec@5 80.000 (78.620)
Epoch: [56][7010/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.9203 (2.0031)	Prec@1 49.500 (48.168)	Prec@5 80.500 (78.619)
Epoch: [56][7020/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.2519 (2.0031)	Prec@1 41.500 (48.168)	Prec@5 73.000 (78.616)
Epoch: [56][7030/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8824 (2.0032)	Prec@1 50.000 (48.165)	Prec@5 81.000 (78.615)
Epoch: [56][7040/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.1864 (2.0032)	Prec@1 45.000 (48.167)	Prec@5 75.500 (78.614)
Epoch: [56][7050/9018]	Time 0.800 (0.625)	Data 0.001 (0.003)	Loss 1.7585 (2.0032)	Prec@1 53.500 (48.166)	Prec@5 82.500 (78.614)
Epoch: [56][7060/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.0055 (2.0033)	Prec@1 48.000 (48.163)	Prec@5 81.000 (78.613)
Epoch: [56][7070/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 2.0581 (2.0035)	Prec@1 47.500 (48.162)	Prec@5 75.500 (78.610)
Epoch: [56][7080/9018]	Time 0.660 (0.625)	Data 0.016 (0.003)	Loss 2.1496 (2.0035)	Prec@1 45.500 (48.162)	Prec@5 75.500 (78.608)
Epoch: [56][7090/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.1857 (2.0035)	Prec@1 46.500 (48.162)	Prec@5 77.000 (78.608)
Epoch: [56][7100/9018]	Time 0.779 (0.625)	Data 0.011 (0.003)	Loss 1.8317 (2.0036)	Prec@1 53.000 (48.160)	Prec@5 79.000 (78.605)
Epoch: [56][7110/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0062 (2.0036)	Prec@1 41.500 (48.160)	Prec@5 79.500 (78.604)
Epoch: [56][7120/9018]	Time 0.626 (0.625)	Data 0.017 (0.003)	Loss 2.1035 (2.0037)	Prec@1 48.000 (48.159)	Prec@5 75.000 (78.603)
Epoch: [56][7130/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0032 (2.0037)	Prec@1 50.500 (48.161)	Prec@5 74.000 (78.603)
Epoch: [56][7140/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.1339 (2.0037)	Prec@1 44.500 (48.160)	Prec@5 79.500 (78.604)
Epoch: [56][7150/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.8955 (2.0037)	Prec@1 53.000 (48.159)	Prec@5 79.500 (78.605)
Epoch: [56][7160/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 2.2592 (2.0038)	Prec@1 47.000 (48.158)	Prec@5 76.500 (78.604)
Epoch: [56][7170/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.2785 (2.0038)	Prec@1 43.500 (48.157)	Prec@5 74.000 (78.603)
Epoch: [56][7180/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.8886 (2.0037)	Prec@1 51.000 (48.158)	Prec@5 82.500 (78.604)
Epoch: [56][7190/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.9012 (2.0037)	Prec@1 51.000 (48.158)	Prec@5 79.500 (78.605)
Epoch: [56][7200/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 2.1273 (2.0036)	Prec@1 46.500 (48.162)	Prec@5 77.500 (78.607)
Epoch: [56][7210/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.1573 (2.0036)	Prec@1 43.500 (48.159)	Prec@5 75.000 (78.606)
Epoch: [56][7220/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.0095 (2.0037)	Prec@1 47.500 (48.158)	Prec@5 80.000 (78.604)
Epoch: [56][7230/9018]	Time 0.608 (0.625)	Data 0.012 (0.003)	Loss 2.1156 (2.0037)	Prec@1 49.000 (48.158)	Prec@5 77.500 (78.604)
Epoch: [56][7240/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.9479 (2.0038)	Prec@1 52.500 (48.159)	Prec@5 82.000 (78.603)
Epoch: [56][7250/9018]	Time 0.652 (0.625)	Data 0.013 (0.003)	Loss 2.0074 (2.0038)	Prec@1 52.500 (48.159)	Prec@5 79.500 (78.604)
Epoch: [56][7260/9018]	Time 0.612 (0.625)	Data 0.014 (0.003)	Loss 2.0652 (2.0038)	Prec@1 48.000 (48.161)	Prec@5 76.500 (78.604)
Epoch: [56][7270/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.0476 (2.0038)	Prec@1 42.500 (48.161)	Prec@5 81.000 (78.603)
Epoch: [56][7280/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 2.1812 (2.0038)	Prec@1 43.000 (48.158)	Prec@5 74.000 (78.604)
Epoch: [56][7290/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.1698 (2.0038)	Prec@1 44.500 (48.159)	Prec@5 74.000 (78.605)
Epoch: [56][7300/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8337 (2.0038)	Prec@1 51.000 (48.157)	Prec@5 79.500 (78.603)
Epoch: [56][7310/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 2.1086 (2.0039)	Prec@1 46.000 (48.154)	Prec@5 74.000 (78.602)
Epoch: [56][7320/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0877 (2.0039)	Prec@1 45.500 (48.153)	Prec@5 77.500 (78.601)
Epoch: [56][7330/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.9735 (2.0039)	Prec@1 48.500 (48.151)	Prec@5 80.500 (78.600)
Epoch: [56][7340/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 2.0537 (2.0039)	Prec@1 44.000 (48.152)	Prec@5 81.000 (78.600)
Epoch: [56][7350/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.1544 (2.0040)	Prec@1 49.500 (48.152)	Prec@5 76.000 (78.598)
Epoch: [56][7360/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9489 (2.0040)	Prec@1 50.500 (48.152)	Prec@5 79.000 (78.598)
Epoch: [56][7370/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.9037 (2.0040)	Prec@1 53.000 (48.151)	Prec@5 82.500 (78.598)
Epoch: [56][7380/9018]	Time 0.724 (0.625)	Data 0.006 (0.003)	Loss 2.0627 (2.0040)	Prec@1 45.000 (48.151)	Prec@5 81.000 (78.597)
Epoch: [56][7390/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.8726 (2.0040)	Prec@1 52.000 (48.152)	Prec@5 82.000 (78.598)
Epoch: [56][7400/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.9333 (2.0039)	Prec@1 49.500 (48.154)	Prec@5 79.500 (78.598)
Epoch: [56][7410/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.9110 (2.0040)	Prec@1 49.500 (48.154)	Prec@5 77.500 (78.598)
Epoch: [56][7420/9018]	Time 0.607 (0.625)	Data 0.012 (0.003)	Loss 1.8766 (2.0040)	Prec@1 51.000 (48.155)	Prec@5 86.000 (78.597)
Epoch: [56][7430/9018]	Time 0.726 (0.625)	Data 0.001 (0.003)	Loss 2.1622 (2.0041)	Prec@1 41.500 (48.154)	Prec@5 74.000 (78.595)
Epoch: [56][7440/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.1290 (2.0041)	Prec@1 44.500 (48.151)	Prec@5 74.000 (78.595)
Epoch: [56][7450/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.1966 (2.0042)	Prec@1 47.500 (48.152)	Prec@5 75.500 (78.594)
Epoch: [56][7460/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.6767 (2.0041)	Prec@1 56.000 (48.152)	Prec@5 84.000 (78.595)
Epoch: [56][7470/9018]	Time 0.640 (0.625)	Data 0.009 (0.003)	Loss 2.2805 (2.0043)	Prec@1 47.500 (48.149)	Prec@5 73.500 (78.592)
Epoch: [56][7480/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.0176 (2.0043)	Prec@1 51.500 (48.152)	Prec@5 78.500 (78.593)
Epoch: [56][7490/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9092 (2.0043)	Prec@1 52.000 (48.152)	Prec@5 84.000 (78.594)
Epoch: [56][7500/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0657 (2.0043)	Prec@1 44.000 (48.150)	Prec@5 78.000 (78.593)
Epoch: [56][7510/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0753 (2.0044)	Prec@1 48.500 (48.149)	Prec@5 76.500 (78.591)
Epoch: [56][7520/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 2.1004 (2.0044)	Prec@1 47.000 (48.149)	Prec@5 75.500 (78.590)
Epoch: [56][7530/9018]	Time 0.652 (0.625)	Data 0.001 (0.003)	Loss 2.1509 (2.0045)	Prec@1 48.000 (48.148)	Prec@5 73.000 (78.589)
Epoch: [56][7540/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.0353 (2.0045)	Prec@1 52.000 (48.147)	Prec@5 77.000 (78.591)
Epoch: [56][7550/9018]	Time 0.620 (0.625)	Data 0.004 (0.003)	Loss 1.9624 (2.0045)	Prec@1 48.000 (48.146)	Prec@5 81.000 (78.591)
Epoch: [56][7560/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 2.0073 (2.0045)	Prec@1 44.500 (48.145)	Prec@5 79.500 (78.592)
Epoch: [56][7570/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.3139 (2.0045)	Prec@1 46.000 (48.143)	Prec@5 72.500 (78.591)
Epoch: [56][7580/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0836 (2.0046)	Prec@1 47.000 (48.140)	Prec@5 79.000 (78.591)
Epoch: [56][7590/9018]	Time 0.648 (0.625)	Data 0.001 (0.003)	Loss 2.2044 (2.0047)	Prec@1 42.000 (48.139)	Prec@5 72.000 (78.590)
Epoch: [56][7600/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 2.0233 (2.0047)	Prec@1 43.500 (48.136)	Prec@5 78.500 (78.589)
Epoch: [56][7610/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.0052 (2.0048)	Prec@1 48.500 (48.135)	Prec@5 75.000 (78.587)
Epoch: [56][7620/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.9634 (2.0048)	Prec@1 46.000 (48.135)	Prec@5 80.000 (78.586)
Epoch: [56][7630/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.9739 (2.0048)	Prec@1 48.000 (48.135)	Prec@5 81.500 (78.587)
Epoch: [56][7640/9018]	Time 0.600 (0.625)	Data 0.021 (0.003)	Loss 1.8736 (2.0048)	Prec@1 54.000 (48.137)	Prec@5 80.000 (78.587)
Epoch: [56][7650/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.6736 (2.0047)	Prec@1 55.500 (48.138)	Prec@5 83.000 (78.588)
Epoch: [56][7660/9018]	Time 0.603 (0.625)	Data 0.002 (0.003)	Loss 1.8430 (2.0048)	Prec@1 53.500 (48.138)	Prec@5 83.000 (78.587)
Epoch: [56][7670/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.1708 (2.0047)	Prec@1 44.000 (48.141)	Prec@5 77.000 (78.587)
Epoch: [56][7680/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.9325 (2.0047)	Prec@1 48.000 (48.141)	Prec@5 84.500 (78.587)
Epoch: [56][7690/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0197 (2.0047)	Prec@1 49.000 (48.142)	Prec@5 83.000 (78.589)
Epoch: [56][7700/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0908 (2.0047)	Prec@1 48.000 (48.140)	Prec@5 79.000 (78.587)
Epoch: [56][7710/9018]	Time 0.757 (0.625)	Data 0.001 (0.003)	Loss 2.0095 (2.0047)	Prec@1 45.000 (48.140)	Prec@5 80.500 (78.586)
Epoch: [56][7720/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 2.1820 (2.0048)	Prec@1 49.500 (48.139)	Prec@5 75.000 (78.586)
Epoch: [56][7730/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.9541 (2.0048)	Prec@1 47.000 (48.137)	Prec@5 80.000 (78.585)
Epoch: [56][7740/9018]	Time 0.609 (0.625)	Data 0.005 (0.003)	Loss 2.0125 (2.0048)	Prec@1 52.500 (48.136)	Prec@5 79.000 (78.584)
Epoch: [56][7750/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.9806 (2.0048)	Prec@1 51.000 (48.137)	Prec@5 77.500 (78.583)
Epoch: [56][7760/9018]	Time 0.749 (0.625)	Data 0.001 (0.003)	Loss 1.8235 (2.0049)	Prec@1 52.000 (48.137)	Prec@5 83.000 (78.583)
Epoch: [56][7770/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.2033 (2.0049)	Prec@1 41.000 (48.136)	Prec@5 75.000 (78.582)
Epoch: [56][7780/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.1940 (2.0049)	Prec@1 45.500 (48.137)	Prec@5 78.000 (78.582)
Epoch: [56][7790/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 2.0173 (2.0048)	Prec@1 48.500 (48.139)	Prec@5 78.000 (78.583)
Epoch: [56][7800/9018]	Time 0.642 (0.625)	Data 0.001 (0.003)	Loss 1.9040 (2.0047)	Prec@1 52.000 (48.140)	Prec@5 80.000 (78.586)
Epoch: [56][7810/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 2.1075 (2.0048)	Prec@1 41.000 (48.138)	Prec@5 77.500 (78.584)
Epoch: [56][7820/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.9957 (2.0049)	Prec@1 48.500 (48.136)	Prec@5 77.000 (78.582)
Epoch: [56][7830/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.1398 (2.0050)	Prec@1 46.500 (48.134)	Prec@5 76.500 (78.582)
Epoch: [56][7840/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.7661 (2.0049)	Prec@1 50.500 (48.136)	Prec@5 81.500 (78.582)
Epoch: [56][7850/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.2239 (2.0050)	Prec@1 43.000 (48.135)	Prec@5 74.500 (78.580)
Epoch: [56][7860/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 2.1109 (2.0051)	Prec@1 49.000 (48.135)	Prec@5 73.500 (78.579)
Epoch: [56][7870/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.9738 (2.0051)	Prec@1 49.500 (48.135)	Prec@5 79.000 (78.580)
Epoch: [56][7880/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.1752 (2.0051)	Prec@1 47.000 (48.135)	Prec@5 76.500 (78.579)
Epoch: [56][7890/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.9584 (2.0051)	Prec@1 48.000 (48.135)	Prec@5 78.000 (78.580)
Epoch: [56][7900/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.6867 (2.0051)	Prec@1 53.500 (48.135)	Prec@5 83.500 (78.578)
Epoch: [56][7910/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.8582 (2.0051)	Prec@1 49.500 (48.134)	Prec@5 81.500 (78.578)
Epoch: [56][7920/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.8371 (2.0052)	Prec@1 54.000 (48.132)	Prec@5 81.500 (78.578)
Epoch: [56][7930/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.8456 (2.0052)	Prec@1 49.500 (48.130)	Prec@5 81.000 (78.579)
Epoch: [56][7940/9018]	Time 0.622 (0.625)	Data 0.002 (0.003)	Loss 2.2267 (2.0052)	Prec@1 47.500 (48.131)	Prec@5 75.500 (78.578)
Epoch: [56][7950/9018]	Time 0.639 (0.625)	Data 0.015 (0.003)	Loss 2.1192 (2.0053)	Prec@1 46.000 (48.129)	Prec@5 77.500 (78.578)
Epoch: [56][7960/9018]	Time 0.588 (0.625)	Data 0.001 (0.003)	Loss 2.1970 (2.0052)	Prec@1 48.500 (48.132)	Prec@5 76.000 (78.580)
Epoch: [56][7970/9018]	Time 0.637 (0.625)	Data 0.016 (0.003)	Loss 2.0246 (2.0053)	Prec@1 45.000 (48.131)	Prec@5 81.000 (78.579)
Epoch: [56][7980/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 2.1736 (2.0054)	Prec@1 45.000 (48.128)	Prec@5 75.000 (78.578)
Epoch: [56][7990/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.0168 (2.0054)	Prec@1 50.500 (48.129)	Prec@5 78.500 (78.577)
Epoch: [56][8000/9018]	Time 0.643 (0.625)	Data 0.001 (0.003)	Loss 2.0769 (2.0054)	Prec@1 48.000 (48.130)	Prec@5 76.500 (78.579)
Epoch: [56][8010/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.8877 (2.0053)	Prec@1 51.500 (48.129)	Prec@5 79.000 (78.579)
Epoch: [56][8020/9018]	Time 0.617 (0.625)	Data 0.002 (0.003)	Loss 2.1338 (2.0054)	Prec@1 43.500 (48.129)	Prec@5 79.500 (78.578)
Epoch: [56][8030/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.8433 (2.0053)	Prec@1 51.000 (48.131)	Prec@5 81.500 (78.580)
Epoch: [56][8040/9018]	Time 0.786 (0.625)	Data 0.001 (0.003)	Loss 1.9567 (2.0053)	Prec@1 51.500 (48.133)	Prec@5 78.500 (78.580)
Epoch: [56][8050/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.9323 (2.0053)	Prec@1 52.000 (48.132)	Prec@5 79.500 (78.578)
Epoch: [56][8060/9018]	Time 0.611 (0.625)	Data 0.013 (0.003)	Loss 2.1224 (2.0054)	Prec@1 45.500 (48.129)	Prec@5 74.000 (78.578)
Epoch: [56][8070/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.0139 (2.0054)	Prec@1 53.500 (48.128)	Prec@5 76.000 (78.577)
Epoch: [56][8080/9018]	Time 0.624 (0.625)	Data 0.002 (0.003)	Loss 1.9317 (2.0054)	Prec@1 50.500 (48.129)	Prec@5 77.000 (78.576)
Epoch: [56][8090/9018]	Time 0.746 (0.625)	Data 0.016 (0.003)	Loss 1.8899 (2.0054)	Prec@1 49.500 (48.128)	Prec@5 80.000 (78.576)
Epoch: [56][8100/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 2.0944 (2.0055)	Prec@1 44.500 (48.127)	Prec@5 76.500 (78.574)
Epoch: [56][8110/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.8653 (2.0054)	Prec@1 48.000 (48.128)	Prec@5 80.000 (78.574)
Epoch: [56][8120/9018]	Time 0.649 (0.625)	Data 0.001 (0.003)	Loss 1.9634 (2.0055)	Prec@1 49.500 (48.127)	Prec@5 80.500 (78.575)
Epoch: [56][8130/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.8318 (2.0055)	Prec@1 53.500 (48.128)	Prec@5 83.000 (78.575)
Epoch: [56][8140/9018]	Time 0.612 (0.625)	Data 0.014 (0.003)	Loss 2.3019 (2.0056)	Prec@1 44.500 (48.126)	Prec@5 74.500 (78.573)
Epoch: [56][8150/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.9217 (2.0055)	Prec@1 50.500 (48.126)	Prec@5 80.500 (78.575)
Epoch: [56][8160/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.2049 (2.0056)	Prec@1 46.500 (48.126)	Prec@5 76.000 (78.574)
Epoch: [56][8170/9018]	Time 0.609 (0.625)	Data 0.017 (0.003)	Loss 2.1777 (2.0056)	Prec@1 46.500 (48.126)	Prec@5 75.500 (78.574)
Epoch: [56][8180/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.1042 (2.0056)	Prec@1 45.500 (48.126)	Prec@5 77.000 (78.574)
Epoch: [56][8190/9018]	Time 0.627 (0.625)	Data 0.014 (0.003)	Loss 1.9576 (2.0056)	Prec@1 50.000 (48.126)	Prec@5 79.000 (78.574)
Epoch: [56][8200/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.0020 (2.0056)	Prec@1 48.000 (48.124)	Prec@5 77.500 (78.574)
Epoch: [56][8210/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 2.1612 (2.0056)	Prec@1 46.500 (48.123)	Prec@5 77.500 (78.575)
Epoch: [56][8220/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 2.0211 (2.0057)	Prec@1 42.500 (48.122)	Prec@5 78.000 (78.574)
Epoch: [56][8230/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.1410 (2.0057)	Prec@1 45.000 (48.121)	Prec@5 72.500 (78.572)
Epoch: [56][8240/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.0198 (2.0058)	Prec@1 46.500 (48.118)	Prec@5 79.000 (78.571)
Epoch: [56][8250/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.1270 (2.0059)	Prec@1 43.000 (48.117)	Prec@5 78.500 (78.571)
Epoch: [56][8260/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 2.0242 (2.0059)	Prec@1 49.500 (48.117)	Prec@5 77.000 (78.570)
Epoch: [56][8270/9018]	Time 0.640 (0.625)	Data 0.002 (0.003)	Loss 2.1346 (2.0060)	Prec@1 43.000 (48.117)	Prec@5 76.000 (78.569)
Epoch: [56][8280/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 2.1369 (2.0061)	Prec@1 43.500 (48.113)	Prec@5 75.500 (78.566)
Epoch: [56][8290/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.8682 (2.0061)	Prec@1 49.000 (48.114)	Prec@5 82.000 (78.566)
Epoch: [56][8300/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.8523 (2.0061)	Prec@1 52.000 (48.114)	Prec@5 79.000 (78.564)
Epoch: [56][8310/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 2.0111 (2.0061)	Prec@1 53.000 (48.115)	Prec@5 79.000 (78.565)
Epoch: [56][8320/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.9713 (2.0060)	Prec@1 47.500 (48.115)	Prec@5 78.000 (78.566)
Epoch: [56][8330/9018]	Time 0.637 (0.625)	Data 0.017 (0.003)	Loss 2.0244 (2.0060)	Prec@1 49.500 (48.115)	Prec@5 78.000 (78.565)
Epoch: [56][8340/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.1310 (2.0060)	Prec@1 49.500 (48.116)	Prec@5 74.000 (78.566)
Epoch: [56][8350/9018]	Time 0.609 (0.625)	Data 0.016 (0.003)	Loss 2.0657 (2.0060)	Prec@1 50.500 (48.117)	Prec@5 76.500 (78.566)
Epoch: [56][8360/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 1.9618 (2.0060)	Prec@1 50.500 (48.118)	Prec@5 81.000 (78.565)
Epoch: [56][8370/9018]	Time 0.707 (0.625)	Data 0.001 (0.003)	Loss 2.2976 (2.0059)	Prec@1 43.000 (48.118)	Prec@5 73.000 (78.566)
Epoch: [56][8380/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0985 (2.0059)	Prec@1 45.000 (48.118)	Prec@5 77.500 (78.567)
Epoch: [56][8390/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.9115 (2.0060)	Prec@1 51.500 (48.117)	Prec@5 81.500 (78.565)
Epoch: [56][8400/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.0946 (2.0060)	Prec@1 48.500 (48.115)	Prec@5 76.500 (78.565)
Epoch: [56][8410/9018]	Time 0.618 (0.625)	Data 0.006 (0.003)	Loss 1.8813 (2.0060)	Prec@1 47.500 (48.116)	Prec@5 81.000 (78.566)
Epoch: [56][8420/9018]	Time 0.754 (0.625)	Data 0.001 (0.003)	Loss 2.1310 (2.0060)	Prec@1 44.500 (48.117)	Prec@5 78.000 (78.566)
Epoch: [56][8430/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 2.1974 (2.0061)	Prec@1 43.500 (48.114)	Prec@5 72.500 (78.564)
Epoch: [56][8440/9018]	Time 0.659 (0.625)	Data 0.001 (0.003)	Loss 2.0712 (2.0061)	Prec@1 43.500 (48.113)	Prec@5 77.500 (78.565)
Epoch: [56][8450/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.1088 (2.0061)	Prec@1 50.000 (48.111)	Prec@5 76.500 (78.563)
Epoch: [56][8460/9018]	Time 0.611 (0.625)	Data 0.010 (0.003)	Loss 2.0037 (2.0061)	Prec@1 52.000 (48.110)	Prec@5 81.000 (78.562)
Epoch: [56][8470/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.8628 (2.0061)	Prec@1 54.000 (48.110)	Prec@5 80.500 (78.561)
Epoch: [56][8480/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.8436 (2.0061)	Prec@1 54.000 (48.110)	Prec@5 82.500 (78.562)
Epoch: [56][8490/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.1876 (2.0062)	Prec@1 46.000 (48.108)	Prec@5 74.000 (78.560)
Epoch: [56][8500/9018]	Time 0.618 (0.625)	Data 0.016 (0.003)	Loss 2.0331 (2.0063)	Prec@1 48.000 (48.105)	Prec@5 76.000 (78.558)
Epoch: [56][8510/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.0188 (2.0064)	Prec@1 42.500 (48.103)	Prec@5 76.500 (78.556)
Epoch: [56][8520/9018]	Time 0.639 (0.625)	Data 0.017 (0.003)	Loss 2.0139 (2.0065)	Prec@1 50.500 (48.102)	Prec@5 77.000 (78.554)
Epoch: [56][8530/9018]	Time 0.607 (0.625)	Data 0.014 (0.003)	Loss 1.9598 (2.0065)	Prec@1 45.000 (48.101)	Prec@5 81.000 (78.554)
Epoch: [56][8540/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 2.1477 (2.0065)	Prec@1 46.500 (48.102)	Prec@5 75.500 (78.554)
Epoch: [56][8550/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.8407 (2.0066)	Prec@1 49.500 (48.100)	Prec@5 84.500 (78.552)
Epoch: [56][8560/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.5965 (2.0066)	Prec@1 58.500 (48.101)	Prec@5 88.000 (78.553)
Epoch: [56][8570/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.0973 (2.0065)	Prec@1 44.500 (48.102)	Prec@5 79.000 (78.552)
Epoch: [56][8580/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.9702 (2.0066)	Prec@1 50.000 (48.101)	Prec@5 79.000 (78.551)
Epoch: [56][8590/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9582 (2.0066)	Prec@1 48.000 (48.100)	Prec@5 78.000 (78.550)
Epoch: [56][8600/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 2.1000 (2.0067)	Prec@1 45.500 (48.098)	Prec@5 75.500 (78.549)
Epoch: [56][8610/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 2.1955 (2.0067)	Prec@1 47.500 (48.098)	Prec@5 74.500 (78.548)
Epoch: [56][8620/9018]	Time 0.633 (0.625)	Data 0.013 (0.003)	Loss 2.0726 (2.0067)	Prec@1 46.000 (48.098)	Prec@5 76.000 (78.548)
Epoch: [56][8630/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0328 (2.0067)	Prec@1 48.500 (48.099)	Prec@5 78.500 (78.550)
Epoch: [56][8640/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.9521 (2.0068)	Prec@1 50.500 (48.098)	Prec@5 80.000 (78.548)
Epoch: [56][8650/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 2.0123 (2.0068)	Prec@1 48.500 (48.097)	Prec@5 80.000 (78.547)
Epoch: [56][8660/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 2.3568 (2.0068)	Prec@1 45.000 (48.101)	Prec@5 71.500 (78.548)
Epoch: [56][8670/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.9155 (2.0067)	Prec@1 50.000 (48.101)	Prec@5 80.000 (78.549)
Epoch: [56][8680/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.0149 (2.0069)	Prec@1 49.500 (48.097)	Prec@5 80.500 (78.546)
Epoch: [56][8690/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.0780 (2.0068)	Prec@1 47.000 (48.099)	Prec@5 79.000 (78.548)
Epoch: [56][8700/9018]	Time 0.733 (0.625)	Data 0.001 (0.003)	Loss 2.0920 (2.0069)	Prec@1 46.000 (48.098)	Prec@5 76.000 (78.548)
Epoch: [56][8710/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.1186 (2.0068)	Prec@1 47.500 (48.099)	Prec@5 76.500 (78.549)
Epoch: [56][8720/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.0709 (2.0068)	Prec@1 48.500 (48.100)	Prec@5 79.500 (78.549)
Epoch: [56][8730/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.0561 (2.0069)	Prec@1 47.500 (48.100)	Prec@5 75.500 (78.548)
Epoch: [56][8740/9018]	Time 0.609 (0.625)	Data 0.009 (0.003)	Loss 2.0964 (2.0069)	Prec@1 47.500 (48.100)	Prec@5 78.500 (78.547)
Epoch: [56][8750/9018]	Time 0.771 (0.625)	Data 0.001 (0.003)	Loss 2.0889 (2.0069)	Prec@1 48.500 (48.101)	Prec@5 77.000 (78.547)
Epoch: [56][8760/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.8329 (2.0069)	Prec@1 49.500 (48.100)	Prec@5 79.500 (78.546)
Epoch: [56][8770/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.0112 (2.0069)	Prec@1 48.500 (48.098)	Prec@5 77.000 (78.546)
Epoch: [56][8780/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.0588 (2.0070)	Prec@1 42.500 (48.095)	Prec@5 79.500 (78.545)
Epoch: [56][8790/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.8721 (2.0069)	Prec@1 55.000 (48.097)	Prec@5 78.500 (78.547)
Epoch: [56][8800/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.0888 (2.0069)	Prec@1 44.500 (48.098)	Prec@5 76.500 (78.547)
Epoch: [56][8810/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.9399 (2.0068)	Prec@1 45.000 (48.097)	Prec@5 80.500 (78.547)
Epoch: [56][8820/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0531 (2.0068)	Prec@1 41.500 (48.099)	Prec@5 77.500 (78.549)
Epoch: [56][8830/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.0619 (2.0068)	Prec@1 49.500 (48.097)	Prec@5 74.000 (78.548)
Epoch: [56][8840/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.1650 (2.0068)	Prec@1 43.500 (48.095)	Prec@5 76.500 (78.548)
Epoch: [56][8850/9018]	Time 0.653 (0.625)	Data 0.001 (0.003)	Loss 1.9902 (2.0069)	Prec@1 45.000 (48.094)	Prec@5 81.000 (78.547)
Epoch: [56][8860/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0000 (2.0069)	Prec@1 46.000 (48.094)	Prec@5 77.000 (78.547)
Epoch: [56][8870/9018]	Time 0.624 (0.625)	Data 0.017 (0.003)	Loss 2.0944 (2.0069)	Prec@1 47.000 (48.092)	Prec@5 75.500 (78.546)
Epoch: [56][8880/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.9900 (2.0070)	Prec@1 49.000 (48.090)	Prec@5 78.000 (78.544)
Epoch: [56][8890/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 1.9908 (2.0070)	Prec@1 50.500 (48.090)	Prec@5 79.500 (78.544)
Epoch: [56][8900/9018]	Time 0.625 (0.625)	Data 0.016 (0.003)	Loss 2.1749 (2.0071)	Prec@1 45.500 (48.090)	Prec@5 75.000 (78.542)
Epoch: [56][8910/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.3295 (2.0071)	Prec@1 39.500 (48.089)	Prec@5 70.500 (78.541)
Epoch: [56][8920/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.9336 (2.0071)	Prec@1 47.500 (48.087)	Prec@5 79.000 (78.541)
Epoch: [56][8930/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.8564 (2.0072)	Prec@1 51.000 (48.087)	Prec@5 83.500 (78.540)
Epoch: [56][8940/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.2577 (2.0072)	Prec@1 45.500 (48.086)	Prec@5 71.000 (78.538)
Epoch: [56][8950/9018]	Time 0.622 (0.625)	Data 0.005 (0.003)	Loss 2.1870 (2.0072)	Prec@1 45.500 (48.085)	Prec@5 76.000 (78.540)
Epoch: [56][8960/9018]	Time 0.647 (0.625)	Data 0.001 (0.003)	Loss 2.0716 (2.0072)	Prec@1 44.500 (48.084)	Prec@5 75.000 (78.539)
Epoch: [56][8970/9018]	Time 0.620 (0.625)	Data 0.006 (0.003)	Loss 1.9850 (2.0073)	Prec@1 51.500 (48.083)	Prec@5 80.000 (78.538)
Epoch: [56][8980/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.1417 (2.0073)	Prec@1 46.000 (48.081)	Prec@5 75.500 (78.538)
Epoch: [56][8990/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.8546 (2.0073)	Prec@1 49.500 (48.082)	Prec@5 84.500 (78.537)
Epoch: [56][9000/9018]	Time 0.589 (0.625)	Data 0.001 (0.003)	Loss 2.1570 (2.0074)	Prec@1 47.500 (48.082)	Prec@5 76.000 (78.536)
Epoch: [56][9010/9018]	Time 0.612 (0.625)	Data 0.000 (0.003)	Loss 1.9919 (2.0074)	Prec@1 50.500 (48.082)	Prec@5 77.000 (78.535)
Test: [0/183]	Time 1.967 (1.967)	Loss 2.5456 (2.5456)	Prec@1 30.500 (30.500)	Prec@5 71.000 (71.000)
Test: [10/183]	Time 0.208 (0.363)	Loss 1.5386 (1.6580)	Prec@1 61.000 (56.773)	Prec@5 84.500 (85.045)
Test: [20/183]	Time 0.190 (0.292)	Loss 2.3855 (1.6754)	Prec@1 36.500 (55.095)	Prec@5 72.500 (84.643)
Test: [30/183]	Time 0.181 (0.265)	Loss 2.5407 (1.6916)	Prec@1 24.000 (53.871)	Prec@5 73.500 (84.645)
Test: [40/183]	Time 0.230 (0.250)	Loss 2.2849 (1.6959)	Prec@1 34.000 (54.439)	Prec@5 77.500 (84.134)
Test: [50/183]	Time 0.190 (0.242)	Loss 1.8457 (1.6683)	Prec@1 53.500 (55.343)	Prec@5 83.000 (84.343)
Test: [60/183]	Time 0.209 (0.236)	Loss 2.0264 (1.7312)	Prec@1 45.500 (53.336)	Prec@5 81.500 (83.689)
Test: [70/183]	Time 0.201 (0.233)	Loss 1.9694 (1.7312)	Prec@1 48.000 (53.261)	Prec@5 82.500 (84.000)
Test: [80/183]	Time 0.189 (0.230)	Loss 1.6421 (1.7173)	Prec@1 53.000 (53.321)	Prec@5 87.500 (84.204)
Test: [90/183]	Time 0.197 (0.228)	Loss 2.4905 (1.7188)	Prec@1 33.500 (53.236)	Prec@5 72.500 (84.209)
Test: [100/183]	Time 0.214 (0.227)	Loss 0.9857 (1.7181)	Prec@1 71.500 (53.391)	Prec@5 93.000 (84.238)
Test: [110/183]	Time 0.207 (0.225)	Loss 0.8950 (1.7204)	Prec@1 79.000 (53.329)	Prec@5 95.500 (84.068)
Test: [120/183]	Time 0.205 (0.224)	Loss 2.1341 (1.7286)	Prec@1 42.500 (53.000)	Prec@5 78.000 (84.083)
Test: [130/183]	Time 0.203 (0.222)	Loss 3.1837 (1.7366)	Prec@1 16.500 (52.832)	Prec@5 68.500 (84.172)
Test: [140/183]	Time 0.220 (0.221)	Loss 1.4836 (1.7359)	Prec@1 61.000 (52.901)	Prec@5 85.000 (84.206)
Test: [150/183]	Time 0.186 (0.220)	Loss 0.7346 (1.7325)	Prec@1 80.500 (53.063)	Prec@5 98.500 (84.235)
Test: [160/183]	Time 0.199 (0.219)	Loss 1.8736 (1.7289)	Prec@1 48.000 (53.239)	Prec@5 77.000 (84.242)
Test: [170/183]	Time 0.226 (0.218)	Loss 2.4814 (1.7502)	Prec@1 29.000 (52.711)	Prec@5 75.500 (83.895)
Test: [180/183]	Time 0.202 (0.217)	Loss 2.3530 (1.7562)	Prec@1 39.000 (52.682)	Prec@5 77.500 (83.793)
 * Prec@1 52.693 Prec@5 83.778
Epoch: [57][0/9018]	Time 3.364 (3.364)	Data 2.659 (2.659)	Loss 1.9887 (1.9887)	Prec@1 45.000 (45.000)	Prec@5 77.000 (77.000)
Epoch: [57][10/9018]	Time 0.609 (0.860)	Data 0.001 (0.245)	Loss 1.9477 (1.9602)	Prec@1 45.000 (48.682)	Prec@5 83.000 (78.136)
Epoch: [57][20/9018]	Time 0.613 (0.752)	Data 0.001 (0.129)	Loss 1.8024 (1.9777)	Prec@1 52.500 (48.190)	Prec@5 80.500 (78.310)
Epoch: [57][30/9018]	Time 0.622 (0.711)	Data 0.016 (0.088)	Loss 2.0802 (1.9833)	Prec@1 47.000 (48.323)	Prec@5 75.500 (78.468)
Epoch: [57][40/9018]	Time 0.618 (0.687)	Data 0.001 (0.067)	Loss 1.8696 (1.9800)	Prec@1 48.500 (48.183)	Prec@5 82.000 (78.744)
Epoch: [57][50/9018]	Time 0.638 (0.680)	Data 0.001 (0.054)	Loss 2.1532 (1.9811)	Prec@1 43.500 (48.304)	Prec@5 73.500 (78.775)
Epoch: [57][60/9018]	Time 0.614 (0.669)	Data 0.001 (0.046)	Loss 2.1553 (1.9871)	Prec@1 42.500 (48.090)	Prec@5 78.000 (78.820)
Epoch: [57][70/9018]	Time 0.612 (0.665)	Data 0.005 (0.039)	Loss 1.9191 (1.9890)	Prec@1 49.000 (48.056)	Prec@5 79.500 (78.704)
Epoch: [57][80/9018]	Time 0.605 (0.661)	Data 0.001 (0.035)	Loss 1.9083 (1.9893)	Prec@1 51.000 (48.111)	Prec@5 81.500 (78.846)
Epoch: [57][90/9018]	Time 0.613 (0.656)	Data 0.001 (0.032)	Loss 2.1112 (1.9835)	Prec@1 45.000 (48.341)	Prec@5 79.000 (78.984)
Epoch: [57][100/9018]	Time 0.595 (0.654)	Data 0.001 (0.029)	Loss 2.1250 (1.9921)	Prec@1 44.500 (48.173)	Prec@5 76.000 (78.876)
Epoch: [57][110/9018]	Time 0.784 (0.652)	Data 0.001 (0.026)	Loss 1.9559 (1.9905)	Prec@1 50.000 (48.257)	Prec@5 77.500 (78.856)
Epoch: [57][120/9018]	Time 0.638 (0.649)	Data 0.007 (0.025)	Loss 1.9970 (1.9950)	Prec@1 48.000 (48.202)	Prec@5 77.000 (78.802)
Epoch: [57][130/9018]	Time 0.648 (0.647)	Data 0.001 (0.023)	Loss 2.0761 (1.9964)	Prec@1 47.500 (48.202)	Prec@5 75.500 (78.760)
Epoch: [57][140/9018]	Time 0.627 (0.645)	Data 0.001 (0.021)	Loss 1.9618 (1.9979)	Prec@1 52.000 (48.216)	Prec@5 77.500 (78.801)
Epoch: [57][150/9018]	Time 0.593 (0.644)	Data 0.001 (0.020)	Loss 1.9378 (1.9945)	Prec@1 50.500 (48.225)	Prec@5 80.500 (78.891)
Epoch: [57][160/9018]	Time 0.763 (0.644)	Data 0.001 (0.019)	Loss 2.0962 (1.9965)	Prec@1 50.500 (48.273)	Prec@5 77.500 (78.798)
Epoch: [57][170/9018]	Time 0.605 (0.642)	Data 0.016 (0.018)	Loss 1.9741 (1.9938)	Prec@1 46.500 (48.380)	Prec@5 85.000 (78.892)
Epoch: [57][180/9018]	Time 0.611 (0.641)	Data 0.023 (0.017)	Loss 2.0405 (1.9923)	Prec@1 45.000 (48.354)	Prec@5 81.500 (78.928)
Epoch: [57][190/9018]	Time 0.606 (0.640)	Data 0.001 (0.017)	Loss 1.8969 (1.9927)	Prec@1 52.000 (48.366)	Prec@5 78.500 (78.885)
Epoch: [57][200/9018]	Time 0.640 (0.639)	Data 0.001 (0.016)	Loss 1.8164 (1.9929)	Prec@1 49.500 (48.338)	Prec@5 82.500 (78.886)
Epoch: [57][210/9018]	Time 0.604 (0.638)	Data 0.001 (0.015)	Loss 2.0259 (1.9925)	Prec@1 47.000 (48.374)	Prec@5 79.000 (78.931)
Epoch: [57][220/9018]	Time 0.611 (0.638)	Data 0.001 (0.015)	Loss 2.0373 (1.9924)	Prec@1 58.000 (48.437)	Prec@5 80.000 (78.925)
Epoch: [57][230/9018]	Time 0.620 (0.637)	Data 0.001 (0.014)	Loss 1.9969 (1.9923)	Prec@1 51.000 (48.470)	Prec@5 78.000 (78.922)
Epoch: [57][240/9018]	Time 0.589 (0.637)	Data 0.016 (0.014)	Loss 2.1234 (1.9896)	Prec@1 46.000 (48.463)	Prec@5 77.000 (79.012)
Epoch: [57][250/9018]	Time 0.624 (0.637)	Data 0.001 (0.013)	Loss 2.1397 (1.9877)	Prec@1 45.500 (48.510)	Prec@5 78.000 (79.024)
Epoch: [57][260/9018]	Time 0.626 (0.637)	Data 0.001 (0.013)	Loss 2.0190 (1.9880)	Prec@1 48.000 (48.481)	Prec@5 77.500 (79.011)
Epoch: [57][270/9018]	Time 0.613 (0.636)	Data 0.002 (0.012)	Loss 2.1240 (1.9869)	Prec@1 52.000 (48.513)	Prec@5 77.000 (79.031)
Epoch: [57][280/9018]	Time 0.627 (0.636)	Data 0.001 (0.012)	Loss 2.0018 (1.9837)	Prec@1 49.500 (48.559)	Prec@5 81.500 (79.062)
Epoch: [57][290/9018]	Time 0.623 (0.635)	Data 0.017 (0.012)	Loss 2.1803 (1.9832)	Prec@1 45.000 (48.586)	Prec@5 78.000 (79.062)
Epoch: [57][300/9018]	Time 0.622 (0.635)	Data 0.001 (0.012)	Loss 2.1635 (1.9857)	Prec@1 43.500 (48.527)	Prec@5 73.500 (79.008)
Epoch: [57][310/9018]	Time 0.608 (0.635)	Data 0.001 (0.011)	Loss 1.9524 (1.9875)	Prec@1 54.000 (48.514)	Prec@5 83.000 (78.966)
Epoch: [57][320/9018]	Time 0.603 (0.634)	Data 0.001 (0.011)	Loss 2.1177 (1.9875)	Prec@1 45.000 (48.514)	Prec@5 76.500 (78.991)
Epoch: [57][330/9018]	Time 0.615 (0.634)	Data 0.001 (0.011)	Loss 2.1654 (1.9871)	Prec@1 48.500 (48.562)	Prec@5 75.500 (78.997)
Epoch: [57][340/9018]	Time 0.603 (0.634)	Data 0.001 (0.011)	Loss 1.8598 (1.9878)	Prec@1 48.000 (48.507)	Prec@5 80.500 (78.968)
Epoch: [57][350/9018]	Time 0.621 (0.634)	Data 0.001 (0.010)	Loss 2.2015 (1.9880)	Prec@1 44.500 (48.521)	Prec@5 74.000 (78.956)
Epoch: [57][360/9018]	Time 0.616 (0.634)	Data 0.017 (0.010)	Loss 2.1084 (1.9863)	Prec@1 41.500 (48.554)	Prec@5 74.500 (78.979)
Epoch: [57][370/9018]	Time 0.595 (0.633)	Data 0.001 (0.010)	Loss 1.9659 (1.9841)	Prec@1 50.000 (48.596)	Prec@5 78.000 (79.019)
Epoch: [57][380/9018]	Time 0.603 (0.633)	Data 0.001 (0.010)	Loss 1.9365 (1.9831)	Prec@1 51.500 (48.648)	Prec@5 79.000 (78.990)
Epoch: [57][390/9018]	Time 0.605 (0.633)	Data 0.001 (0.010)	Loss 1.9922 (1.9824)	Prec@1 48.000 (48.659)	Prec@5 80.000 (78.990)
Epoch: [57][400/9018]	Time 0.608 (0.633)	Data 0.001 (0.010)	Loss 2.0427 (1.9821)	Prec@1 49.000 (48.676)	Prec@5 79.500 (78.986)
Epoch: [57][410/9018]	Time 0.639 (0.633)	Data 0.001 (0.009)	Loss 1.8488 (1.9807)	Prec@1 51.500 (48.742)	Prec@5 81.000 (79.015)
Epoch: [57][420/9018]	Time 0.620 (0.633)	Data 0.001 (0.009)	Loss 2.1346 (1.9801)	Prec@1 44.000 (48.736)	Prec@5 73.500 (78.999)
Epoch: [57][430/9018]	Time 0.601 (0.633)	Data 0.001 (0.009)	Loss 1.7029 (1.9784)	Prec@1 54.500 (48.761)	Prec@5 86.000 (79.042)
Epoch: [57][440/9018]	Time 0.709 (0.632)	Data 0.001 (0.009)	Loss 2.0207 (1.9788)	Prec@1 45.000 (48.748)	Prec@5 78.500 (79.041)
Epoch: [57][450/9018]	Time 0.613 (0.632)	Data 0.001 (0.009)	Loss 1.9878 (1.9802)	Prec@1 49.000 (48.717)	Prec@5 79.000 (79.022)
Epoch: [57][460/9018]	Time 0.591 (0.632)	Data 0.001 (0.009)	Loss 1.9308 (1.9803)	Prec@1 52.500 (48.705)	Prec@5 78.500 (79.007)
Epoch: [57][470/9018]	Time 0.600 (0.631)	Data 0.001 (0.008)	Loss 1.8027 (1.9795)	Prec@1 50.000 (48.756)	Prec@5 82.000 (79.020)
Epoch: [57][480/9018]	Time 0.598 (0.631)	Data 0.001 (0.008)	Loss 2.1914 (1.9818)	Prec@1 44.500 (48.713)	Prec@5 78.500 (78.968)
Epoch: [57][490/9018]	Time 0.708 (0.631)	Data 0.001 (0.008)	Loss 2.0267 (1.9817)	Prec@1 52.500 (48.700)	Prec@5 77.500 (78.985)
Epoch: [57][500/9018]	Time 0.621 (0.630)	Data 0.001 (0.008)	Loss 1.9845 (1.9823)	Prec@1 46.500 (48.692)	Prec@5 83.500 (78.983)
Epoch: [57][510/9018]	Time 0.595 (0.630)	Data 0.001 (0.008)	Loss 2.0715 (1.9826)	Prec@1 47.000 (48.674)	Prec@5 78.000 (78.962)
Epoch: [57][520/9018]	Time 0.617 (0.630)	Data 0.001 (0.008)	Loss 1.9794 (1.9830)	Prec@1 50.000 (48.687)	Prec@5 79.000 (78.952)
Epoch: [57][530/9018]	Time 0.599 (0.630)	Data 0.001 (0.008)	Loss 2.0369 (1.9837)	Prec@1 43.500 (48.671)	Prec@5 76.000 (78.920)
Epoch: [57][540/9018]	Time 0.604 (0.629)	Data 0.001 (0.007)	Loss 1.9943 (1.9832)	Prec@1 46.500 (48.663)	Prec@5 75.500 (78.913)
Epoch: [57][550/9018]	Time 0.608 (0.629)	Data 0.001 (0.007)	Loss 1.7612 (1.9834)	Prec@1 53.000 (48.672)	Prec@5 82.500 (78.900)
Epoch: [57][560/9018]	Time 0.605 (0.629)	Data 0.001 (0.007)	Loss 1.9422 (1.9835)	Prec@1 48.500 (48.662)	Prec@5 78.500 (78.906)
Epoch: [57][570/9018]	Time 0.619 (0.629)	Data 0.001 (0.007)	Loss 1.7937 (1.9845)	Prec@1 52.500 (48.640)	Prec@5 79.000 (78.871)
Epoch: [57][580/9018]	Time 0.603 (0.628)	Data 0.001 (0.007)	Loss 1.9966 (1.9840)	Prec@1 51.500 (48.653)	Prec@5 79.000 (78.884)
Epoch: [57][590/9018]	Time 0.603 (0.628)	Data 0.001 (0.007)	Loss 1.9307 (1.9834)	Prec@1 49.500 (48.670)	Prec@5 77.000 (78.882)
Epoch: [57][600/9018]	Time 0.609 (0.628)	Data 0.001 (0.007)	Loss 1.9320 (1.9831)	Prec@1 55.500 (48.706)	Prec@5 80.000 (78.879)
Epoch: [57][610/9018]	Time 0.600 (0.628)	Data 0.001 (0.007)	Loss 2.1082 (1.9842)	Prec@1 46.500 (48.665)	Prec@5 76.000 (78.852)
Epoch: [57][620/9018]	Time 0.610 (0.627)	Data 0.001 (0.007)	Loss 1.9145 (1.9843)	Prec@1 47.500 (48.667)	Prec@5 79.000 (78.852)
Epoch: [57][630/9018]	Time 0.609 (0.627)	Data 0.001 (0.006)	Loss 1.8851 (1.9847)	Prec@1 51.000 (48.633)	Prec@5 80.000 (78.844)
Epoch: [57][640/9018]	Time 0.592 (0.627)	Data 0.001 (0.006)	Loss 2.0107 (1.9847)	Prec@1 42.000 (48.627)	Prec@5 81.500 (78.840)
Epoch: [57][650/9018]	Time 0.605 (0.627)	Data 0.001 (0.006)	Loss 2.0118 (1.9850)	Prec@1 49.000 (48.630)	Prec@5 78.000 (78.833)
Epoch: [57][660/9018]	Time 0.613 (0.627)	Data 0.001 (0.006)	Loss 1.9197 (1.9854)	Prec@1 48.500 (48.610)	Prec@5 82.500 (78.818)
Epoch: [57][670/9018]	Time 0.612 (0.626)	Data 0.001 (0.006)	Loss 1.8911 (1.9859)	Prec@1 48.000 (48.589)	Prec@5 80.500 (78.808)
Epoch: [57][680/9018]	Time 0.609 (0.626)	Data 0.001 (0.006)	Loss 2.0775 (1.9864)	Prec@1 43.000 (48.575)	Prec@5 77.500 (78.786)
Epoch: [57][690/9018]	Time 0.599 (0.626)	Data 0.001 (0.006)	Loss 1.8627 (1.9855)	Prec@1 52.000 (48.582)	Prec@5 81.000 (78.809)
Epoch: [57][700/9018]	Time 0.605 (0.626)	Data 0.001 (0.006)	Loss 2.2664 (1.9860)	Prec@1 42.000 (48.581)	Prec@5 74.500 (78.809)
Epoch: [57][710/9018]	Time 0.610 (0.626)	Data 0.001 (0.006)	Loss 1.9796 (1.9867)	Prec@1 47.000 (48.565)	Prec@5 78.000 (78.812)
Epoch: [57][720/9018]	Time 0.600 (0.626)	Data 0.001 (0.006)	Loss 1.9080 (1.9862)	Prec@1 50.000 (48.569)	Prec@5 80.000 (78.813)
Epoch: [57][730/9018]	Time 0.598 (0.626)	Data 0.001 (0.006)	Loss 2.0080 (1.9876)	Prec@1 50.000 (48.549)	Prec@5 75.500 (78.791)
Epoch: [57][740/9018]	Time 0.593 (0.625)	Data 0.001 (0.006)	Loss 2.0713 (1.9887)	Prec@1 45.000 (48.526)	Prec@5 75.500 (78.768)
Epoch: [57][750/9018]	Time 0.630 (0.625)	Data 0.001 (0.006)	Loss 2.0016 (1.9884)	Prec@1 50.500 (48.526)	Prec@5 81.500 (78.767)
Epoch: [57][760/9018]	Time 0.591 (0.625)	Data 0.001 (0.005)	Loss 1.9247 (1.9885)	Prec@1 51.000 (48.537)	Prec@5 77.000 (78.764)
Epoch: [57][770/9018]	Time 0.748 (0.625)	Data 0.001 (0.005)	Loss 1.9964 (1.9887)	Prec@1 51.500 (48.541)	Prec@5 78.500 (78.766)
Epoch: [57][780/9018]	Time 0.603 (0.625)	Data 0.001 (0.005)	Loss 2.1007 (1.9888)	Prec@1 47.000 (48.535)	Prec@5 78.500 (78.771)
Epoch: [57][790/9018]	Time 0.592 (0.625)	Data 0.001 (0.005)	Loss 1.8226 (1.9879)	Prec@1 51.500 (48.549)	Prec@5 83.000 (78.784)
Epoch: [57][800/9018]	Time 0.630 (0.624)	Data 0.001 (0.005)	Loss 1.9961 (1.9874)	Prec@1 46.000 (48.555)	Prec@5 80.000 (78.785)
Epoch: [57][810/9018]	Time 0.597 (0.624)	Data 0.001 (0.005)	Loss 1.9847 (1.9871)	Prec@1 49.500 (48.565)	Prec@5 80.500 (78.803)
Epoch: [57][820/9018]	Time 0.713 (0.624)	Data 0.001 (0.005)	Loss 2.0665 (1.9877)	Prec@1 48.000 (48.545)	Prec@5 77.500 (78.794)
Epoch: [57][830/9018]	Time 0.604 (0.624)	Data 0.001 (0.005)	Loss 1.9396 (1.9879)	Prec@1 49.500 (48.538)	Prec@5 74.500 (78.780)
Epoch: [57][840/9018]	Time 0.616 (0.624)	Data 0.001 (0.005)	Loss 2.0365 (1.9879)	Prec@1 45.000 (48.532)	Prec@5 77.500 (78.786)
Epoch: [57][850/9018]	Time 0.618 (0.624)	Data 0.001 (0.005)	Loss 1.7819 (1.9874)	Prec@1 51.000 (48.529)	Prec@5 82.000 (78.800)
Epoch: [57][860/9018]	Time 0.602 (0.624)	Data 0.001 (0.005)	Loss 2.1367 (1.9866)	Prec@1 49.000 (48.539)	Prec@5 74.500 (78.821)
Epoch: [57][870/9018]	Time 0.596 (0.624)	Data 0.001 (0.005)	Loss 2.1969 (1.9872)	Prec@1 43.000 (48.528)	Prec@5 76.500 (78.805)
Epoch: [57][880/9018]	Time 0.602 (0.623)	Data 0.001 (0.005)	Loss 2.0600 (1.9873)	Prec@1 45.500 (48.528)	Prec@5 77.000 (78.801)
Epoch: [57][890/9018]	Time 0.620 (0.624)	Data 0.001 (0.005)	Loss 2.1115 (1.9870)	Prec@1 46.000 (48.545)	Prec@5 76.500 (78.803)
Epoch: [57][900/9018]	Time 0.598 (0.623)	Data 0.001 (0.005)	Loss 1.9555 (1.9873)	Prec@1 49.500 (48.553)	Prec@5 79.000 (78.794)
Epoch: [57][910/9018]	Time 0.595 (0.623)	Data 0.001 (0.005)	Loss 1.8616 (1.9878)	Prec@1 52.500 (48.537)	Prec@5 79.500 (78.780)
Epoch: [57][920/9018]	Time 0.617 (0.623)	Data 0.001 (0.005)	Loss 2.1436 (1.9887)	Prec@1 45.000 (48.511)	Prec@5 76.000 (78.752)
Epoch: [57][930/9018]	Time 0.628 (0.623)	Data 0.001 (0.005)	Loss 2.2271 (1.9893)	Prec@1 43.500 (48.504)	Prec@5 79.000 (78.745)
Epoch: [57][940/9018]	Time 0.600 (0.623)	Data 0.001 (0.005)	Loss 2.1402 (1.9893)	Prec@1 42.500 (48.507)	Prec@5 74.500 (78.745)
Epoch: [57][950/9018]	Time 0.608 (0.623)	Data 0.001 (0.005)	Loss 1.8401 (1.9891)	Prec@1 53.000 (48.521)	Prec@5 83.500 (78.743)
Epoch: [57][960/9018]	Time 0.628 (0.623)	Data 0.001 (0.005)	Loss 1.7272 (1.9888)	Prec@1 58.000 (48.525)	Prec@5 81.000 (78.746)
Epoch: [57][970/9018]	Time 0.596 (0.623)	Data 0.001 (0.004)	Loss 2.1971 (1.9883)	Prec@1 43.000 (48.540)	Prec@5 77.000 (78.754)
Epoch: [57][980/9018]	Time 0.628 (0.623)	Data 0.001 (0.004)	Loss 1.8548 (1.9884)	Prec@1 51.000 (48.541)	Prec@5 80.000 (78.748)
Epoch: [57][990/9018]	Time 0.600 (0.623)	Data 0.001 (0.004)	Loss 1.9604 (1.9878)	Prec@1 46.500 (48.542)	Prec@5 81.000 (78.758)
Epoch: [57][1000/9018]	Time 0.633 (0.623)	Data 0.001 (0.004)	Loss 2.0672 (1.9884)	Prec@1 47.500 (48.522)	Prec@5 77.500 (78.752)
Epoch: [57][1010/9018]	Time 0.601 (0.623)	Data 0.001 (0.004)	Loss 1.7629 (1.9878)	Prec@1 59.000 (48.547)	Prec@5 81.500 (78.766)
Epoch: [57][1020/9018]	Time 0.634 (0.623)	Data 0.001 (0.004)	Loss 1.7661 (1.9875)	Prec@1 53.500 (48.548)	Prec@5 85.500 (78.762)
Epoch: [57][1030/9018]	Time 0.601 (0.622)	Data 0.001 (0.004)	Loss 1.9734 (1.9877)	Prec@1 46.500 (48.544)	Prec@5 82.000 (78.757)
Epoch: [57][1040/9018]	Time 0.592 (0.622)	Data 0.001 (0.004)	Loss 1.8741 (1.9874)	Prec@1 50.500 (48.550)	Prec@5 85.000 (78.769)
Epoch: [57][1050/9018]	Time 0.621 (0.622)	Data 0.001 (0.004)	Loss 1.9563 (1.9878)	Prec@1 46.500 (48.547)	Prec@5 77.000 (78.757)
Epoch: [57][1060/9018]	Time 0.601 (0.622)	Data 0.001 (0.004)	Loss 1.8393 (1.9880)	Prec@1 53.500 (48.554)	Prec@5 84.000 (78.752)
Epoch: [57][1070/9018]	Time 0.607 (0.622)	Data 0.001 (0.004)	Loss 1.7984 (1.9881)	Prec@1 51.000 (48.559)	Prec@5 81.000 (78.746)
Epoch: [57][1080/9018]	Time 0.627 (0.622)	Data 0.001 (0.004)	Loss 1.9968 (1.9874)	Prec@1 50.000 (48.578)	Prec@5 79.500 (78.758)
Epoch: [57][1090/9018]	Time 0.596 (0.622)	Data 0.001 (0.004)	Loss 2.1362 (1.9878)	Prec@1 46.500 (48.577)	Prec@5 75.500 (78.754)
Epoch: [57][1100/9018]	Time 0.737 (0.622)	Data 0.001 (0.004)	Loss 1.9618 (1.9884)	Prec@1 50.000 (48.570)	Prec@5 80.000 (78.743)
Epoch: [57][1110/9018]	Time 0.602 (0.622)	Data 0.001 (0.004)	Loss 1.9792 (1.9882)	Prec@1 47.000 (48.574)	Prec@5 79.000 (78.743)
Epoch: [57][1120/9018]	Time 0.631 (0.622)	Data 0.001 (0.004)	Loss 1.8901 (1.9877)	Prec@1 50.500 (48.581)	Prec@5 81.500 (78.756)
Epoch: [57][1130/9018]	Time 0.603 (0.622)	Data 0.001 (0.004)	Loss 2.1985 (1.9879)	Prec@1 45.000 (48.577)	Prec@5 76.000 (78.756)
Epoch: [57][1140/9018]	Time 0.600 (0.622)	Data 0.001 (0.004)	Loss 2.0574 (1.9882)	Prec@1 53.000 (48.573)	Prec@5 78.000 (78.757)
Epoch: [57][1150/9018]	Time 0.760 (0.622)	Data 0.001 (0.004)	Loss 1.6869 (1.9883)	Prec@1 55.500 (48.560)	Prec@5 81.500 (78.748)
Epoch: [57][1160/9018]	Time 0.633 (0.622)	Data 0.001 (0.004)	Loss 1.8818 (1.9888)	Prec@1 57.500 (48.561)	Prec@5 79.500 (78.745)
Epoch: [57][1170/9018]	Time 0.599 (0.622)	Data 0.001 (0.004)	Loss 1.9180 (1.9885)	Prec@1 49.000 (48.562)	Prec@5 79.500 (78.749)
Epoch: [57][1180/9018]	Time 0.599 (0.621)	Data 0.001 (0.004)	Loss 2.0553 (1.9884)	Prec@1 46.500 (48.563)	Prec@5 73.500 (78.755)
Epoch: [57][1190/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 2.1038 (1.9888)	Prec@1 48.000 (48.569)	Prec@5 78.000 (78.754)
Epoch: [57][1200/9018]	Time 0.610 (0.621)	Data 0.001 (0.004)	Loss 2.0446 (1.9891)	Prec@1 48.000 (48.566)	Prec@5 80.500 (78.756)
Epoch: [57][1210/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 2.0966 (1.9895)	Prec@1 49.000 (48.557)	Prec@5 76.000 (78.745)
Epoch: [57][1220/9018]	Time 0.602 (0.621)	Data 0.001 (0.004)	Loss 1.9681 (1.9897)	Prec@1 46.500 (48.544)	Prec@5 79.000 (78.741)
Epoch: [57][1230/9018]	Time 0.637 (0.621)	Data 0.001 (0.004)	Loss 2.1265 (1.9897)	Prec@1 42.000 (48.543)	Prec@5 77.500 (78.742)
Epoch: [57][1240/9018]	Time 0.597 (0.621)	Data 0.001 (0.004)	Loss 1.8302 (1.9899)	Prec@1 51.000 (48.537)	Prec@5 81.500 (78.740)
Epoch: [57][1250/9018]	Time 0.590 (0.621)	Data 0.001 (0.004)	Loss 1.9980 (1.9902)	Prec@1 45.500 (48.532)	Prec@5 78.000 (78.732)
Epoch: [57][1260/9018]	Time 0.609 (0.621)	Data 0.001 (0.004)	Loss 1.6797 (1.9900)	Prec@1 57.500 (48.533)	Prec@5 80.000 (78.732)
Epoch: [57][1270/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.8818 (1.9901)	Prec@1 50.500 (48.529)	Prec@5 80.500 (78.729)
Epoch: [57][1280/9018]	Time 0.599 (0.621)	Data 0.001 (0.004)	Loss 2.0688 (1.9906)	Prec@1 45.000 (48.512)	Prec@5 77.000 (78.722)
Epoch: [57][1290/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 2.1908 (1.9904)	Prec@1 47.000 (48.516)	Prec@5 75.000 (78.729)
Epoch: [57][1300/9018]	Time 0.595 (0.621)	Data 0.001 (0.004)	Loss 1.9275 (1.9900)	Prec@1 49.000 (48.518)	Prec@5 79.500 (78.740)
Epoch: [57][1310/9018]	Time 0.622 (0.621)	Data 0.001 (0.004)	Loss 1.9350 (1.9898)	Prec@1 51.000 (48.519)	Prec@5 76.500 (78.740)
Epoch: [57][1320/9018]	Time 0.594 (0.621)	Data 0.001 (0.003)	Loss 2.0395 (1.9902)	Prec@1 48.000 (48.509)	Prec@5 79.000 (78.737)
Epoch: [57][1330/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.8327 (1.9903)	Prec@1 53.000 (48.510)	Prec@5 82.000 (78.743)
Epoch: [57][1340/9018]	Time 0.593 (0.621)	Data 0.001 (0.003)	Loss 2.2140 (1.9905)	Prec@1 45.000 (48.507)	Prec@5 77.000 (78.736)
Epoch: [57][1350/9018]	Time 0.614 (0.621)	Data 0.001 (0.003)	Loss 1.9602 (1.9911)	Prec@1 52.500 (48.500)	Prec@5 80.500 (78.724)
Epoch: [57][1360/9018]	Time 0.625 (0.620)	Data 0.001 (0.003)	Loss 2.0148 (1.9913)	Prec@1 48.500 (48.494)	Prec@5 79.000 (78.722)
Epoch: [57][1370/9018]	Time 0.633 (0.621)	Data 0.001 (0.003)	Loss 2.0601 (1.9911)	Prec@1 46.000 (48.492)	Prec@5 78.500 (78.728)
Epoch: [57][1380/9018]	Time 0.602 (0.621)	Data 0.001 (0.003)	Loss 2.2460 (1.9911)	Prec@1 44.500 (48.487)	Prec@5 73.500 (78.732)
Epoch: [57][1390/9018]	Time 0.605 (0.621)	Data 0.002 (0.003)	Loss 1.9934 (1.9910)	Prec@1 48.000 (48.490)	Prec@5 80.000 (78.739)
Epoch: [57][1400/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 2.1644 (1.9916)	Prec@1 43.000 (48.479)	Prec@5 75.000 (78.718)
Epoch: [57][1410/9018]	Time 0.614 (0.621)	Data 0.001 (0.003)	Loss 1.8676 (1.9917)	Prec@1 46.500 (48.471)	Prec@5 83.000 (78.716)
Epoch: [57][1420/9018]	Time 0.609 (0.620)	Data 0.001 (0.003)	Loss 2.1666 (1.9917)	Prec@1 47.000 (48.483)	Prec@5 79.500 (78.722)
Epoch: [57][1430/9018]	Time 0.727 (0.621)	Data 0.001 (0.003)	Loss 1.8010 (1.9918)	Prec@1 56.500 (48.486)	Prec@5 80.500 (78.725)
Epoch: [57][1440/9018]	Time 0.600 (0.620)	Data 0.001 (0.003)	Loss 1.7867 (1.9913)	Prec@1 48.000 (48.491)	Prec@5 87.000 (78.737)
Epoch: [57][1450/9018]	Time 0.599 (0.620)	Data 0.001 (0.003)	Loss 1.9644 (1.9918)	Prec@1 47.500 (48.481)	Prec@5 78.000 (78.716)
Epoch: [57][1460/9018]	Time 0.606 (0.620)	Data 0.001 (0.003)	Loss 2.0241 (1.9920)	Prec@1 45.000 (48.472)	Prec@5 76.500 (78.712)
Epoch: [57][1470/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.9669 (1.9921)	Prec@1 47.000 (48.477)	Prec@5 80.000 (78.708)
Epoch: [57][1480/9018]	Time 0.717 (0.620)	Data 0.001 (0.003)	Loss 1.9886 (1.9919)	Prec@1 48.500 (48.471)	Prec@5 82.000 (78.717)
Epoch: [57][1490/9018]	Time 0.606 (0.620)	Data 0.001 (0.003)	Loss 1.9786 (1.9919)	Prec@1 53.500 (48.480)	Prec@5 79.500 (78.719)
Epoch: [57][1500/9018]	Time 0.635 (0.620)	Data 0.001 (0.003)	Loss 1.7338 (1.9918)	Prec@1 58.500 (48.492)	Prec@5 83.500 (78.721)
Epoch: [57][1510/9018]	Time 0.608 (0.620)	Data 0.001 (0.003)	Loss 1.8514 (1.9916)	Prec@1 54.000 (48.495)	Prec@5 81.000 (78.729)
Epoch: [57][1520/9018]	Time 0.598 (0.620)	Data 0.001 (0.003)	Loss 1.8950 (1.9914)	Prec@1 46.000 (48.500)	Prec@5 80.000 (78.730)
Epoch: [57][1530/9018]	Time 0.645 (0.620)	Data 0.001 (0.003)	Loss 2.0834 (1.9917)	Prec@1 42.000 (48.492)	Prec@5 77.500 (78.727)
Epoch: [57][1540/9018]	Time 0.631 (0.620)	Data 0.007 (0.003)	Loss 1.9754 (1.9916)	Prec@1 45.500 (48.492)	Prec@5 81.000 (78.729)
Epoch: [57][1550/9018]	Time 0.608 (0.620)	Data 0.001 (0.003)	Loss 2.1985 (1.9918)	Prec@1 41.500 (48.489)	Prec@5 73.000 (78.724)
Epoch: [57][1560/9018]	Time 0.626 (0.620)	Data 0.001 (0.003)	Loss 1.8831 (1.9921)	Prec@1 49.000 (48.477)	Prec@5 82.500 (78.724)
Epoch: [57][1570/9018]	Time 0.602 (0.620)	Data 0.001 (0.003)	Loss 2.0556 (1.9919)	Prec@1 49.000 (48.486)	Prec@5 78.000 (78.727)
Epoch: [57][1580/9018]	Time 0.606 (0.620)	Data 0.001 (0.003)	Loss 2.2845 (1.9924)	Prec@1 43.500 (48.477)	Prec@5 73.000 (78.716)
Epoch: [57][1590/9018]	Time 0.613 (0.620)	Data 0.001 (0.003)	Loss 1.9950 (1.9918)	Prec@1 49.000 (48.487)	Prec@5 82.000 (78.724)
Epoch: [57][1600/9018]	Time 0.604 (0.620)	Data 0.001 (0.003)	Loss 2.0646 (1.9919)	Prec@1 53.500 (48.488)	Prec@5 78.500 (78.725)
Epoch: [57][1610/9018]	Time 0.610 (0.620)	Data 0.001 (0.003)	Loss 2.0162 (1.9918)	Prec@1 47.500 (48.484)	Prec@5 78.500 (78.730)
Epoch: [57][1620/9018]	Time 0.612 (0.621)	Data 0.001 (0.003)	Loss 1.8673 (1.9918)	Prec@1 48.000 (48.484)	Prec@5 81.000 (78.732)
Epoch: [57][1630/9018]	Time 0.623 (0.621)	Data 0.001 (0.003)	Loss 1.8284 (1.9915)	Prec@1 50.500 (48.487)	Prec@5 81.500 (78.739)
Epoch: [57][1640/9018]	Time 0.617 (0.621)	Data 0.016 (0.003)	Loss 2.0512 (1.9915)	Prec@1 45.500 (48.480)	Prec@5 78.500 (78.737)
Epoch: [57][1650/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 2.0095 (1.9912)	Prec@1 48.000 (48.490)	Prec@5 81.500 (78.750)
Epoch: [57][1660/9018]	Time 0.642 (0.621)	Data 0.001 (0.003)	Loss 2.0720 (1.9910)	Prec@1 43.000 (48.498)	Prec@5 79.500 (78.753)
Epoch: [57][1670/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.8145 (1.9908)	Prec@1 46.500 (48.498)	Prec@5 82.500 (78.756)
Epoch: [57][1680/9018]	Time 0.626 (0.621)	Data 0.001 (0.003)	Loss 2.0534 (1.9908)	Prec@1 52.000 (48.501)	Prec@5 77.000 (78.753)
Epoch: [57][1690/9018]	Time 0.597 (0.621)	Data 0.001 (0.003)	Loss 1.9215 (1.9909)	Prec@1 50.000 (48.501)	Prec@5 78.500 (78.747)
Epoch: [57][1700/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.8976 (1.9909)	Prec@1 51.500 (48.494)	Prec@5 82.000 (78.751)
Epoch: [57][1710/9018]	Time 0.811 (0.621)	Data 0.001 (0.003)	Loss 2.1432 (1.9910)	Prec@1 42.500 (48.489)	Prec@5 76.000 (78.748)
Epoch: [57][1720/9018]	Time 0.597 (0.621)	Data 0.001 (0.003)	Loss 1.9324 (1.9908)	Prec@1 48.000 (48.491)	Prec@5 81.500 (78.750)
Epoch: [57][1730/9018]	Time 0.660 (0.621)	Data 0.001 (0.003)	Loss 2.0524 (1.9910)	Prec@1 47.000 (48.487)	Prec@5 75.000 (78.745)
Epoch: [57][1740/9018]	Time 0.590 (0.621)	Data 0.001 (0.003)	Loss 1.9064 (1.9907)	Prec@1 50.000 (48.486)	Prec@5 79.500 (78.748)
Epoch: [57][1750/9018]	Time 0.601 (0.621)	Data 0.001 (0.003)	Loss 1.8018 (1.9903)	Prec@1 52.500 (48.493)	Prec@5 82.500 (78.755)
Epoch: [57][1760/9018]	Time 0.738 (0.621)	Data 0.001 (0.003)	Loss 2.0215 (1.9900)	Prec@1 44.000 (48.492)	Prec@5 80.000 (78.760)
Epoch: [57][1770/9018]	Time 0.620 (0.621)	Data 0.016 (0.003)	Loss 1.9142 (1.9903)	Prec@1 49.000 (48.480)	Prec@5 83.000 (78.760)
Epoch: [57][1780/9018]	Time 0.633 (0.621)	Data 0.001 (0.003)	Loss 1.9205 (1.9905)	Prec@1 57.000 (48.485)	Prec@5 77.500 (78.759)
Epoch: [57][1790/9018]	Time 0.616 (0.621)	Data 0.001 (0.003)	Loss 1.8802 (1.9903)	Prec@1 49.000 (48.490)	Prec@5 80.500 (78.760)
Epoch: [57][1800/9018]	Time 0.657 (0.621)	Data 0.001 (0.003)	Loss 1.9734 (1.9909)	Prec@1 49.000 (48.478)	Prec@5 77.000 (78.743)
Epoch: [57][1810/9018]	Time 0.611 (0.621)	Data 0.002 (0.003)	Loss 1.9827 (1.9912)	Prec@1 47.500 (48.473)	Prec@5 77.500 (78.739)
Epoch: [57][1820/9018]	Time 0.617 (0.621)	Data 0.009 (0.003)	Loss 1.7786 (1.9908)	Prec@1 55.500 (48.477)	Prec@5 81.000 (78.741)
Epoch: [57][1830/9018]	Time 0.631 (0.621)	Data 0.001 (0.003)	Loss 1.9786 (1.9910)	Prec@1 50.500 (48.474)	Prec@5 78.000 (78.741)
Epoch: [57][1840/9018]	Time 0.605 (0.621)	Data 0.013 (0.003)	Loss 2.0624 (1.9913)	Prec@1 41.000 (48.466)	Prec@5 77.500 (78.736)
Epoch: [57][1850/9018]	Time 0.612 (0.621)	Data 0.001 (0.003)	Loss 1.8621 (1.9913)	Prec@1 44.000 (48.452)	Prec@5 81.500 (78.736)
Epoch: [57][1860/9018]	Time 0.637 (0.621)	Data 0.001 (0.003)	Loss 1.9005 (1.9912)	Prec@1 51.500 (48.454)	Prec@5 82.000 (78.741)
Epoch: [57][1870/9018]	Time 0.631 (0.621)	Data 0.001 (0.003)	Loss 2.0222 (1.9912)	Prec@1 46.000 (48.450)	Prec@5 79.000 (78.740)
Epoch: [57][1880/9018]	Time 0.608 (0.622)	Data 0.014 (0.003)	Loss 1.7945 (1.9912)	Prec@1 53.000 (48.459)	Prec@5 80.000 (78.739)
Epoch: [57][1890/9018]	Time 0.634 (0.621)	Data 0.001 (0.003)	Loss 1.9925 (1.9914)	Prec@1 52.000 (48.460)	Prec@5 77.000 (78.735)
Epoch: [57][1900/9018]	Time 0.596 (0.622)	Data 0.017 (0.003)	Loss 2.1146 (1.9915)	Prec@1 48.000 (48.460)	Prec@5 76.000 (78.734)
Epoch: [57][1910/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 2.0630 (1.9913)	Prec@1 48.000 (48.464)	Prec@5 79.000 (78.739)
Epoch: [57][1920/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.9105 (1.9915)	Prec@1 50.000 (48.456)	Prec@5 78.000 (78.735)
Epoch: [57][1930/9018]	Time 0.644 (0.622)	Data 0.015 (0.003)	Loss 1.9693 (1.9919)	Prec@1 43.000 (48.445)	Prec@5 80.500 (78.728)
Epoch: [57][1940/9018]	Time 0.621 (0.622)	Data 0.005 (0.003)	Loss 2.0235 (1.9921)	Prec@1 45.000 (48.438)	Prec@5 79.500 (78.723)
Epoch: [57][1950/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 2.0381 (1.9924)	Prec@1 47.000 (48.433)	Prec@5 78.000 (78.719)
Epoch: [57][1960/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.9917 (1.9922)	Prec@1 51.000 (48.440)	Prec@5 76.000 (78.719)
Epoch: [57][1970/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.9803 (1.9921)	Prec@1 48.500 (48.440)	Prec@5 79.500 (78.721)
Epoch: [57][1980/9018]	Time 0.617 (0.622)	Data 0.014 (0.003)	Loss 1.8708 (1.9923)	Prec@1 48.500 (48.434)	Prec@5 86.000 (78.721)
Epoch: [57][1990/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 2.0153 (1.9921)	Prec@1 49.000 (48.438)	Prec@5 78.000 (78.728)
Epoch: [57][2000/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 2.0676 (1.9920)	Prec@1 48.500 (48.438)	Prec@5 78.500 (78.731)
Epoch: [57][2010/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.8753 (1.9919)	Prec@1 48.000 (48.437)	Prec@5 81.500 (78.732)
Epoch: [57][2020/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 2.1493 (1.9920)	Prec@1 47.500 (48.430)	Prec@5 76.000 (78.732)
Epoch: [57][2030/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.8056 (1.9918)	Prec@1 53.500 (48.431)	Prec@5 81.000 (78.734)
Epoch: [57][2040/9018]	Time 0.766 (0.622)	Data 0.001 (0.003)	Loss 2.1412 (1.9917)	Prec@1 44.000 (48.438)	Prec@5 74.500 (78.740)
Epoch: [57][2050/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.9725 (1.9916)	Prec@1 51.000 (48.442)	Prec@5 78.500 (78.744)
Epoch: [57][2060/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.9730 (1.9916)	Prec@1 45.500 (48.444)	Prec@5 80.000 (78.750)
Epoch: [57][2070/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 2.0603 (1.9913)	Prec@1 50.000 (48.451)	Prec@5 76.500 (78.754)
Epoch: [57][2080/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.9462 (1.9915)	Prec@1 48.000 (48.449)	Prec@5 81.000 (78.750)
Epoch: [57][2090/9018]	Time 0.736 (0.622)	Data 0.016 (0.003)	Loss 1.9971 (1.9915)	Prec@1 51.000 (48.448)	Prec@5 77.500 (78.754)
Epoch: [57][2100/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 2.0869 (1.9916)	Prec@1 45.500 (48.447)	Prec@5 74.500 (78.752)
Epoch: [57][2110/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 2.0198 (1.9922)	Prec@1 51.500 (48.431)	Prec@5 76.000 (78.740)
Epoch: [57][2120/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 2.2067 (1.9924)	Prec@1 41.000 (48.428)	Prec@5 78.500 (78.740)
Epoch: [57][2130/9018]	Time 0.654 (0.622)	Data 0.014 (0.003)	Loss 1.9320 (1.9925)	Prec@1 50.500 (48.428)	Prec@5 78.500 (78.739)
Epoch: [57][2140/9018]	Time 0.637 (0.622)	Data 0.001 (0.003)	Loss 2.2090 (1.9925)	Prec@1 44.000 (48.424)	Prec@5 75.500 (78.739)
Epoch: [57][2150/9018]	Time 0.598 (0.622)	Data 0.011 (0.003)	Loss 2.0676 (1.9925)	Prec@1 49.500 (48.429)	Prec@5 80.000 (78.736)
Epoch: [57][2160/9018]	Time 0.638 (0.622)	Data 0.001 (0.003)	Loss 2.0143 (1.9928)	Prec@1 44.500 (48.423)	Prec@5 77.500 (78.725)
Epoch: [57][2170/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 2.1027 (1.9927)	Prec@1 47.000 (48.424)	Prec@5 77.000 (78.726)
Epoch: [57][2180/9018]	Time 0.626 (0.622)	Data 0.005 (0.003)	Loss 1.7787 (1.9926)	Prec@1 52.000 (48.429)	Prec@5 83.000 (78.726)
Epoch: [57][2190/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.8740 (1.9926)	Prec@1 46.500 (48.428)	Prec@5 84.000 (78.725)
Epoch: [57][2200/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 2.2331 (1.9927)	Prec@1 40.500 (48.425)	Prec@5 76.000 (78.722)
Epoch: [57][2210/9018]	Time 0.594 (0.622)	Data 0.017 (0.003)	Loss 2.1147 (1.9927)	Prec@1 45.000 (48.424)	Prec@5 77.000 (78.721)
Epoch: [57][2220/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 2.0485 (1.9928)	Prec@1 44.000 (48.420)	Prec@5 77.000 (78.720)
Epoch: [57][2230/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.9377 (1.9930)	Prec@1 47.000 (48.416)	Prec@5 79.000 (78.718)
Epoch: [57][2240/9018]	Time 0.628 (0.622)	Data 0.016 (0.003)	Loss 2.4314 (1.9931)	Prec@1 42.000 (48.405)	Prec@5 71.500 (78.721)
Epoch: [57][2250/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.9612 (1.9930)	Prec@1 51.500 (48.410)	Prec@5 78.000 (78.720)
Epoch: [57][2260/9018]	Time 0.638 (0.622)	Data 0.001 (0.003)	Loss 1.8787 (1.9930)	Prec@1 54.000 (48.410)	Prec@5 79.000 (78.718)
Epoch: [57][2270/9018]	Time 0.637 (0.622)	Data 0.001 (0.003)	Loss 1.8509 (1.9931)	Prec@1 51.000 (48.408)	Prec@5 82.500 (78.719)
Epoch: [57][2280/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 2.0414 (1.9931)	Prec@1 48.500 (48.407)	Prec@5 74.500 (78.720)
Epoch: [57][2290/9018]	Time 0.639 (0.622)	Data 0.001 (0.003)	Loss 2.0677 (1.9933)	Prec@1 49.000 (48.406)	Prec@5 78.000 (78.719)
Epoch: [57][2300/9018]	Time 0.645 (0.622)	Data 0.001 (0.003)	Loss 1.8214 (1.9933)	Prec@1 52.500 (48.409)	Prec@5 77.000 (78.717)
Epoch: [57][2310/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 2.0769 (1.9932)	Prec@1 45.000 (48.415)	Prec@5 78.000 (78.720)
Epoch: [57][2320/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.8941 (1.9931)	Prec@1 48.000 (48.416)	Prec@5 82.000 (78.720)
Epoch: [57][2330/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.9478 (1.9931)	Prec@1 50.000 (48.414)	Prec@5 79.000 (78.720)
Epoch: [57][2340/9018]	Time 0.624 (0.622)	Data 0.017 (0.003)	Loss 1.9971 (1.9931)	Prec@1 50.500 (48.412)	Prec@5 80.500 (78.720)
Epoch: [57][2350/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.9840 (1.9931)	Prec@1 51.000 (48.412)	Prec@5 75.500 (78.724)
Epoch: [57][2360/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.9504 (1.9929)	Prec@1 46.500 (48.414)	Prec@5 78.500 (78.726)
Epoch: [57][2370/9018]	Time 0.772 (0.622)	Data 0.001 (0.003)	Loss 1.9779 (1.9929)	Prec@1 49.000 (48.414)	Prec@5 80.500 (78.724)
Epoch: [57][2380/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 2.0393 (1.9930)	Prec@1 48.500 (48.413)	Prec@5 79.000 (78.721)
Epoch: [57][2390/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 2.0779 (1.9931)	Prec@1 45.000 (48.412)	Prec@5 77.500 (78.722)
Epoch: [57][2400/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 2.2401 (1.9934)	Prec@1 44.000 (48.401)	Prec@5 76.000 (78.718)
Epoch: [57][2410/9018]	Time 0.628 (0.622)	Data 0.012 (0.003)	Loss 2.0747 (1.9933)	Prec@1 45.500 (48.405)	Prec@5 78.500 (78.723)
Epoch: [57][2420/9018]	Time 0.741 (0.622)	Data 0.001 (0.003)	Loss 1.9507 (1.9933)	Prec@1 50.000 (48.403)	Prec@5 78.500 (78.724)
Epoch: [57][2430/9018]	Time 0.633 (0.622)	Data 0.013 (0.003)	Loss 2.0151 (1.9933)	Prec@1 49.000 (48.405)	Prec@5 81.500 (78.724)
Epoch: [57][2440/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 2.0872 (1.9936)	Prec@1 42.500 (48.395)	Prec@5 77.500 (78.721)
Epoch: [57][2450/9018]	Time 0.695 (0.622)	Data 0.001 (0.003)	Loss 1.9786 (1.9937)	Prec@1 45.000 (48.396)	Prec@5 81.000 (78.719)
Epoch: [57][2460/9018]	Time 0.607 (0.622)	Data 0.015 (0.003)	Loss 2.2379 (1.9935)	Prec@1 45.500 (48.401)	Prec@5 76.000 (78.721)
Epoch: [57][2470/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 2.0083 (1.9934)	Prec@1 47.500 (48.403)	Prec@5 80.500 (78.722)
Epoch: [57][2480/9018]	Time 0.646 (0.622)	Data 0.001 (0.003)	Loss 2.1513 (1.9935)	Prec@1 48.000 (48.402)	Prec@5 77.500 (78.725)
Epoch: [57][2490/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 2.0198 (1.9936)	Prec@1 52.000 (48.395)	Prec@5 76.500 (78.721)
Epoch: [57][2500/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.9459 (1.9937)	Prec@1 46.000 (48.391)	Prec@5 80.500 (78.719)
Epoch: [57][2510/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.9104 (1.9938)	Prec@1 51.000 (48.386)	Prec@5 75.500 (78.713)
Epoch: [57][2520/9018]	Time 0.641 (0.622)	Data 0.001 (0.003)	Loss 1.7805 (1.9938)	Prec@1 56.500 (48.389)	Prec@5 82.500 (78.712)
Epoch: [57][2530/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.6991 (1.9938)	Prec@1 50.500 (48.383)	Prec@5 86.000 (78.711)
Epoch: [57][2540/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8364 (1.9937)	Prec@1 51.000 (48.382)	Prec@5 80.500 (78.717)
Epoch: [57][2550/9018]	Time 0.601 (0.622)	Data 0.015 (0.003)	Loss 2.0573 (1.9939)	Prec@1 45.500 (48.378)	Prec@5 80.500 (78.715)
Epoch: [57][2560/9018]	Time 0.626 (0.622)	Data 0.017 (0.003)	Loss 2.1658 (1.9939)	Prec@1 44.000 (48.382)	Prec@5 73.500 (78.716)
Epoch: [57][2570/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 2.0180 (1.9939)	Prec@1 48.500 (48.380)	Prec@5 78.000 (78.715)
Epoch: [57][2580/9018]	Time 0.589 (0.622)	Data 0.001 (0.003)	Loss 1.9387 (1.9936)	Prec@1 47.000 (48.387)	Prec@5 81.000 (78.719)
Epoch: [57][2590/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 2.1103 (1.9941)	Prec@1 46.000 (48.379)	Prec@5 73.000 (78.708)
Epoch: [57][2600/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 2.1349 (1.9942)	Prec@1 43.500 (48.376)	Prec@5 73.500 (78.705)
Epoch: [57][2610/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 2.0788 (1.9944)	Prec@1 45.000 (48.376)	Prec@5 80.000 (78.706)
Epoch: [57][2620/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.8552 (1.9946)	Prec@1 53.500 (48.376)	Prec@5 80.000 (78.702)
Epoch: [57][2630/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.9199 (1.9946)	Prec@1 49.000 (48.372)	Prec@5 82.000 (78.706)
Epoch: [57][2640/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.9065 (1.9944)	Prec@1 49.500 (48.375)	Prec@5 79.000 (78.709)
Epoch: [57][2650/9018]	Time 0.617 (0.623)	Data 0.010 (0.003)	Loss 2.0811 (1.9946)	Prec@1 45.000 (48.371)	Prec@5 79.500 (78.704)
Epoch: [57][2660/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.7321 (1.9945)	Prec@1 56.500 (48.372)	Prec@5 84.000 (78.707)
Epoch: [57][2670/9018]	Time 0.639 (0.623)	Data 0.023 (0.003)	Loss 2.0492 (1.9946)	Prec@1 49.000 (48.374)	Prec@5 78.500 (78.703)
Epoch: [57][2680/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 2.1061 (1.9945)	Prec@1 42.500 (48.376)	Prec@5 75.000 (78.704)
Epoch: [57][2690/9018]	Time 0.591 (0.623)	Data 0.016 (0.003)	Loss 2.2207 (1.9947)	Prec@1 45.000 (48.373)	Prec@5 76.500 (78.705)
Epoch: [57][2700/9018]	Time 0.794 (0.623)	Data 0.006 (0.003)	Loss 1.8990 (1.9945)	Prec@1 47.000 (48.380)	Prec@5 81.000 (78.710)
Epoch: [57][2710/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.8709 (1.9947)	Prec@1 48.000 (48.374)	Prec@5 83.500 (78.709)
Epoch: [57][2720/9018]	Time 0.605 (0.623)	Data 0.005 (0.003)	Loss 1.9370 (1.9947)	Prec@1 51.500 (48.374)	Prec@5 79.000 (78.709)
Epoch: [57][2730/9018]	Time 0.610 (0.623)	Data 0.016 (0.003)	Loss 1.8304 (1.9948)	Prec@1 50.500 (48.369)	Prec@5 83.000 (78.711)
Epoch: [57][2740/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.9568 (1.9948)	Prec@1 49.500 (48.366)	Prec@5 79.000 (78.713)
Epoch: [57][2750/9018]	Time 0.721 (0.623)	Data 0.001 (0.003)	Loss 2.0080 (1.9948)	Prec@1 49.000 (48.363)	Prec@5 76.000 (78.713)
Epoch: [57][2760/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.9423 (1.9947)	Prec@1 51.500 (48.364)	Prec@5 79.000 (78.714)
Epoch: [57][2770/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.9308 (1.9948)	Prec@1 47.000 (48.357)	Prec@5 80.000 (78.711)
Epoch: [57][2780/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 2.0463 (1.9949)	Prec@1 51.500 (48.359)	Prec@5 76.500 (78.709)
Epoch: [57][2790/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.9297 (1.9949)	Prec@1 51.000 (48.360)	Prec@5 80.000 (78.711)
Epoch: [57][2800/9018]	Time 0.631 (0.623)	Data 0.016 (0.003)	Loss 2.1803 (1.9950)	Prec@1 45.500 (48.352)	Prec@5 72.500 (78.711)
Epoch: [57][2810/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.9576 (1.9950)	Prec@1 50.000 (48.353)	Prec@5 78.500 (78.708)
Epoch: [57][2820/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 2.1153 (1.9949)	Prec@1 45.500 (48.358)	Prec@5 73.500 (78.706)
Epoch: [57][2830/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 2.2215 (1.9948)	Prec@1 43.500 (48.359)	Prec@5 76.500 (78.710)
Epoch: [57][2840/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.8534 (1.9947)	Prec@1 51.500 (48.361)	Prec@5 83.500 (78.713)
Epoch: [57][2850/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.8958 (1.9948)	Prec@1 47.500 (48.361)	Prec@5 83.000 (78.712)
Epoch: [57][2860/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 2.1059 (1.9948)	Prec@1 47.000 (48.364)	Prec@5 75.500 (78.711)
Epoch: [57][2870/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 2.1859 (1.9948)	Prec@1 44.500 (48.361)	Prec@5 75.000 (78.711)
Epoch: [57][2880/9018]	Time 0.608 (0.623)	Data 0.013 (0.003)	Loss 1.8235 (1.9947)	Prec@1 50.500 (48.359)	Prec@5 83.000 (78.716)
Epoch: [57][2890/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 2.2639 (1.9947)	Prec@1 43.000 (48.363)	Prec@5 74.500 (78.720)
Epoch: [57][2900/9018]	Time 0.644 (0.623)	Data 0.013 (0.003)	Loss 1.7925 (1.9947)	Prec@1 56.000 (48.364)	Prec@5 82.000 (78.716)
Epoch: [57][2910/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 2.1698 (1.9950)	Prec@1 47.000 (48.356)	Prec@5 75.000 (78.712)
Epoch: [57][2920/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.9669 (1.9950)	Prec@1 48.000 (48.355)	Prec@5 80.500 (78.712)
Epoch: [57][2930/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 2.1443 (1.9948)	Prec@1 43.500 (48.359)	Prec@5 75.000 (78.717)
Epoch: [57][2940/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8127 (1.9947)	Prec@1 50.000 (48.358)	Prec@5 81.000 (78.717)
Epoch: [57][2950/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.9462 (1.9947)	Prec@1 49.000 (48.353)	Prec@5 79.000 (78.717)
Epoch: [57][2960/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.9952 (1.9947)	Prec@1 47.000 (48.351)	Prec@5 77.500 (78.719)
Epoch: [57][2970/9018]	Time 0.647 (0.623)	Data 0.001 (0.003)	Loss 2.0504 (1.9947)	Prec@1 49.000 (48.349)	Prec@5 79.500 (78.722)
Epoch: [57][2980/9018]	Time 0.623 (0.623)	Data 0.003 (0.003)	Loss 1.7220 (1.9947)	Prec@1 54.000 (48.347)	Prec@5 83.500 (78.721)
Epoch: [57][2990/9018]	Time 0.599 (0.623)	Data 0.016 (0.003)	Loss 2.2438 (1.9949)	Prec@1 41.000 (48.341)	Prec@5 70.000 (78.718)
Epoch: [57][3000/9018]	Time 0.642 (0.623)	Data 0.014 (0.003)	Loss 2.0392 (1.9950)	Prec@1 49.500 (48.340)	Prec@5 76.500 (78.714)
Epoch: [57][3010/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 2.1284 (1.9950)	Prec@1 45.500 (48.341)	Prec@5 76.000 (78.713)
Epoch: [57][3020/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 2.0594 (1.9949)	Prec@1 47.000 (48.344)	Prec@5 79.000 (78.714)
Epoch: [57][3030/9018]	Time 0.770 (0.623)	Data 0.015 (0.003)	Loss 1.9869 (1.9951)	Prec@1 50.500 (48.339)	Prec@5 76.500 (78.709)
Epoch: [57][3040/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.9837 (1.9953)	Prec@1 45.000 (48.335)	Prec@5 79.500 (78.707)
Epoch: [57][3050/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.8815 (1.9954)	Prec@1 49.500 (48.331)	Prec@5 78.000 (78.704)
Epoch: [57][3060/9018]	Time 0.612 (0.623)	Data 0.007 (0.003)	Loss 2.0665 (1.9955)	Prec@1 46.000 (48.329)	Prec@5 78.000 (78.701)
Epoch: [57][3070/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 2.1622 (1.9955)	Prec@1 40.500 (48.327)	Prec@5 76.000 (78.702)
Epoch: [57][3080/9018]	Time 0.742 (0.623)	Data 0.001 (0.003)	Loss 1.9383 (1.9957)	Prec@1 49.500 (48.324)	Prec@5 83.000 (78.699)
Epoch: [57][3090/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.8632 (1.9956)	Prec@1 47.500 (48.325)	Prec@5 82.000 (78.700)
Epoch: [57][3100/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8963 (1.9953)	Prec@1 49.500 (48.331)	Prec@5 81.500 (78.705)
Epoch: [57][3110/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.9243 (1.9951)	Prec@1 48.000 (48.336)	Prec@5 76.000 (78.703)
Epoch: [57][3120/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 2.2335 (1.9951)	Prec@1 45.500 (48.340)	Prec@5 75.000 (78.701)
Epoch: [57][3130/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.9911 (1.9952)	Prec@1 46.500 (48.339)	Prec@5 79.500 (78.701)
Epoch: [57][3140/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 2.0940 (1.9952)	Prec@1 48.000 (48.337)	Prec@5 75.500 (78.699)
Epoch: [57][3150/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 2.0818 (1.9952)	Prec@1 47.000 (48.338)	Prec@5 77.000 (78.698)
Epoch: [57][3160/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.7834 (1.9950)	Prec@1 52.500 (48.343)	Prec@5 85.000 (78.703)
Epoch: [57][3170/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.9813 (1.9952)	Prec@1 45.000 (48.339)	Prec@5 77.500 (78.700)
Epoch: [57][3180/9018]	Time 0.635 (0.623)	Data 0.005 (0.003)	Loss 2.2075 (1.9951)	Prec@1 43.500 (48.344)	Prec@5 75.000 (78.702)
Epoch: [57][3190/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 2.0282 (1.9950)	Prec@1 48.500 (48.347)	Prec@5 76.000 (78.702)
Epoch: [57][3200/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 2.0150 (1.9951)	Prec@1 49.000 (48.346)	Prec@5 78.500 (78.701)
Epoch: [57][3210/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.9509 (1.9949)	Prec@1 45.500 (48.347)	Prec@5 77.500 (78.699)
Epoch: [57][3220/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.9971 (1.9948)	Prec@1 50.000 (48.350)	Prec@5 77.500 (78.701)
Epoch: [57][3230/9018]	Time 0.647 (0.623)	Data 0.001 (0.003)	Loss 1.9357 (1.9947)	Prec@1 49.000 (48.351)	Prec@5 80.500 (78.704)
Epoch: [57][3240/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 2.1474 (1.9949)	Prec@1 43.500 (48.344)	Prec@5 76.000 (78.701)
Epoch: [57][3250/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.8639 (1.9948)	Prec@1 53.500 (48.345)	Prec@5 77.500 (78.703)
Epoch: [57][3260/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 2.2744 (1.9949)	Prec@1 43.500 (48.345)	Prec@5 73.500 (78.701)
Epoch: [57][3270/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.9252 (1.9951)	Prec@1 48.000 (48.345)	Prec@5 76.000 (78.700)
Epoch: [57][3280/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.9122 (1.9950)	Prec@1 49.500 (48.347)	Prec@5 82.000 (78.702)
Epoch: [57][3290/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 2.0706 (1.9951)	Prec@1 47.500 (48.349)	Prec@5 75.500 (78.699)
Epoch: [57][3300/9018]	Time 0.635 (0.623)	Data 0.009 (0.003)	Loss 2.0961 (1.9951)	Prec@1 50.000 (48.350)	Prec@5 81.000 (78.699)
Epoch: [57][3310/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.9378 (1.9951)	Prec@1 52.500 (48.350)	Prec@5 79.500 (78.698)
Epoch: [57][3320/9018]	Time 0.618 (0.623)	Data 0.017 (0.003)	Loss 1.8110 (1.9952)	Prec@1 51.500 (48.352)	Prec@5 82.000 (78.696)
Epoch: [57][3330/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 2.1083 (1.9951)	Prec@1 41.500 (48.352)	Prec@5 78.000 (78.696)
Epoch: [57][3340/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 2.0455 (1.9951)	Prec@1 47.000 (48.352)	Prec@5 77.500 (78.695)
Epoch: [57][3350/9018]	Time 0.598 (0.623)	Data 0.014 (0.003)	Loss 1.7538 (1.9952)	Prec@1 51.000 (48.351)	Prec@5 83.500 (78.693)
Epoch: [57][3360/9018]	Time 0.746 (0.623)	Data 0.001 (0.003)	Loss 2.1338 (1.9952)	Prec@1 44.000 (48.353)	Prec@5 75.000 (78.690)
Epoch: [57][3370/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 2.0571 (1.9952)	Prec@1 47.500 (48.353)	Prec@5 78.000 (78.691)
Epoch: [57][3380/9018]	Time 0.629 (0.623)	Data 0.017 (0.003)	Loss 1.9591 (1.9950)	Prec@1 52.500 (48.355)	Prec@5 80.500 (78.693)
Epoch: [57][3390/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.9415 (1.9952)	Prec@1 45.500 (48.353)	Prec@5 82.000 (78.689)
Epoch: [57][3400/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.9855 (1.9953)	Prec@1 45.000 (48.349)	Prec@5 80.500 (78.690)
Epoch: [57][3410/9018]	Time 0.778 (0.623)	Data 0.001 (0.003)	Loss 2.1675 (1.9953)	Prec@1 45.000 (48.350)	Prec@5 76.500 (78.689)
Epoch: [57][3420/9018]	Time 0.645 (0.623)	Data 0.001 (0.003)	Loss 1.8103 (1.9952)	Prec@1 51.500 (48.352)	Prec@5 84.500 (78.688)
Epoch: [57][3430/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8315 (1.9953)	Prec@1 54.500 (48.353)	Prec@5 80.000 (78.684)
Epoch: [57][3440/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 2.1068 (1.9954)	Prec@1 44.500 (48.350)	Prec@5 79.000 (78.681)
Epoch: [57][3450/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.9264 (1.9955)	Prec@1 50.000 (48.347)	Prec@5 77.500 (78.677)
Epoch: [57][3460/9018]	Time 0.667 (0.623)	Data 0.001 (0.003)	Loss 1.8426 (1.9954)	Prec@1 52.500 (48.350)	Prec@5 82.500 (78.680)
Epoch: [57][3470/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 2.0332 (1.9954)	Prec@1 46.500 (48.349)	Prec@5 77.000 (78.679)
Epoch: [57][3480/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 2.0280 (1.9953)	Prec@1 46.000 (48.350)	Prec@5 77.500 (78.679)
Epoch: [57][3490/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 2.1759 (1.9955)	Prec@1 44.500 (48.342)	Prec@5 79.500 (78.678)
Epoch: [57][3500/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 2.0829 (1.9956)	Prec@1 46.500 (48.342)	Prec@5 76.000 (78.675)
Epoch: [57][3510/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.8205 (1.9958)	Prec@1 50.500 (48.343)	Prec@5 80.000 (78.672)
Epoch: [57][3520/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.9925 (1.9957)	Prec@1 46.500 (48.344)	Prec@5 81.000 (78.674)
Epoch: [57][3530/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8093 (1.9956)	Prec@1 52.000 (48.345)	Prec@5 83.000 (78.675)
Epoch: [57][3540/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 2.0350 (1.9956)	Prec@1 49.500 (48.348)	Prec@5 80.500 (78.674)
Epoch: [57][3550/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.8719 (1.9954)	Prec@1 50.000 (48.347)	Prec@5 79.500 (78.674)
Epoch: [57][3560/9018]	Time 0.620 (0.623)	Data 0.006 (0.003)	Loss 1.9162 (1.9954)	Prec@1 50.000 (48.348)	Prec@5 80.500 (78.676)
Epoch: [57][3570/9018]	Time 0.642 (0.623)	Data 0.011 (0.003)	Loss 1.7719 (1.9954)	Prec@1 51.000 (48.348)	Prec@5 81.500 (78.675)
Epoch: [57][3580/9018]	Time 0.626 (0.623)	Data 0.014 (0.003)	Loss 1.8368 (1.9952)	Prec@1 53.000 (48.353)	Prec@5 77.000 (78.677)
Epoch: [57][3590/9018]	Time 0.611 (0.623)	Data 0.016 (0.003)	Loss 1.8623 (1.9952)	Prec@1 52.000 (48.356)	Prec@5 80.500 (78.679)
Epoch: [57][3600/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.9234 (1.9950)	Prec@1 47.000 (48.358)	Prec@5 84.000 (78.682)
Epoch: [57][3610/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 2.0987 (1.9950)	Prec@1 51.500 (48.359)	Prec@5 77.500 (78.681)
Epoch: [57][3620/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 2.0910 (1.9951)	Prec@1 45.000 (48.356)	Prec@5 78.500 (78.677)
Epoch: [57][3630/9018]	Time 0.621 (0.623)	Data 0.008 (0.003)	Loss 2.2857 (1.9953)	Prec@1 44.500 (48.354)	Prec@5 74.000 (78.674)
Epoch: [57][3640/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 2.0481 (1.9955)	Prec@1 48.000 (48.354)	Prec@5 79.000 (78.669)
Epoch: [57][3650/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 2.1379 (1.9954)	Prec@1 43.500 (48.359)	Prec@5 76.000 (78.671)
Epoch: [57][3660/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 2.2621 (1.9955)	Prec@1 44.500 (48.353)	Prec@5 73.500 (78.667)
Epoch: [57][3670/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.9366 (1.9956)	Prec@1 48.000 (48.352)	Prec@5 79.500 (78.666)
Epoch: [57][3680/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 2.2355 (1.9955)	Prec@1 42.000 (48.351)	Prec@5 76.000 (78.667)
Epoch: [57][3690/9018]	Time 0.745 (0.624)	Data 0.017 (0.003)	Loss 1.9758 (1.9954)	Prec@1 46.500 (48.356)	Prec@5 79.500 (78.670)
Epoch: [57][3700/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 2.0125 (1.9955)	Prec@1 45.000 (48.354)	Prec@5 78.500 (78.670)
Epoch: [57][3710/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.8136 (1.9954)	Prec@1 52.000 (48.353)	Prec@5 81.500 (78.670)
Epoch: [57][3720/9018]	Time 0.642 (0.624)	Data 0.001 (0.003)	Loss 2.0235 (1.9954)	Prec@1 48.000 (48.352)	Prec@5 80.500 (78.670)
Epoch: [57][3730/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.9079 (1.9954)	Prec@1 50.000 (48.348)	Prec@5 77.000 (78.669)
Epoch: [57][3740/9018]	Time 0.789 (0.624)	Data 0.001 (0.003)	Loss 1.6855 (1.9954)	Prec@1 55.500 (48.347)	Prec@5 86.000 (78.672)
Epoch: [57][3750/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.8311 (1.9952)	Prec@1 54.000 (48.351)	Prec@5 83.000 (78.677)
Epoch: [57][3760/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.9989 (1.9954)	Prec@1 48.000 (48.345)	Prec@5 81.000 (78.673)
Epoch: [57][3770/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 1.9795 (1.9954)	Prec@1 48.500 (48.350)	Prec@5 80.000 (78.672)
Epoch: [57][3780/9018]	Time 0.660 (0.624)	Data 0.014 (0.003)	Loss 2.0107 (1.9953)	Prec@1 49.000 (48.352)	Prec@5 79.000 (78.673)
Epoch: [57][3790/9018]	Time 0.633 (0.624)	Data 0.001 (0.003)	Loss 1.9643 (1.9953)	Prec@1 49.000 (48.350)	Prec@5 79.000 (78.674)
Epoch: [57][3800/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.8488 (1.9953)	Prec@1 49.000 (48.349)	Prec@5 81.500 (78.672)
Epoch: [57][3810/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 2.0320 (1.9954)	Prec@1 49.000 (48.350)	Prec@5 79.500 (78.670)
Epoch: [57][3820/9018]	Time 0.614 (0.624)	Data 0.014 (0.003)	Loss 2.0559 (1.9952)	Prec@1 43.500 (48.353)	Prec@5 79.500 (78.672)
Epoch: [57][3830/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.9164 (1.9953)	Prec@1 52.000 (48.351)	Prec@5 80.500 (78.670)
Epoch: [57][3840/9018]	Time 0.639 (0.624)	Data 0.001 (0.003)	Loss 1.9483 (1.9954)	Prec@1 53.500 (48.351)	Prec@5 78.000 (78.670)
Epoch: [57][3850/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.9393 (1.9954)	Prec@1 54.000 (48.352)	Prec@5 82.000 (78.669)
Epoch: [57][3860/9018]	Time 0.612 (0.624)	Data 0.016 (0.003)	Loss 1.8336 (1.9954)	Prec@1 54.500 (48.352)	Prec@5 80.500 (78.669)
Epoch: [57][3870/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 2.1022 (1.9955)	Prec@1 46.000 (48.350)	Prec@5 75.500 (78.668)
Epoch: [57][3880/9018]	Time 0.639 (0.624)	Data 0.001 (0.003)	Loss 1.9999 (1.9955)	Prec@1 48.500 (48.349)	Prec@5 80.500 (78.669)
Epoch: [57][3890/9018]	Time 0.660 (0.624)	Data 0.001 (0.003)	Loss 2.0840 (1.9955)	Prec@1 48.500 (48.347)	Prec@5 76.500 (78.668)
Epoch: [57][3900/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 2.1307 (1.9956)	Prec@1 46.000 (48.347)	Prec@5 73.500 (78.667)
Epoch: [57][3910/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.9035 (1.9956)	Prec@1 53.000 (48.346)	Prec@5 79.000 (78.666)
Epoch: [57][3920/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.9414 (1.9957)	Prec@1 51.000 (48.348)	Prec@5 77.000 (78.664)
Epoch: [57][3930/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.9538 (1.9957)	Prec@1 48.000 (48.345)	Prec@5 80.500 (78.665)
Epoch: [57][3940/9018]	Time 0.613 (0.624)	Data 0.015 (0.003)	Loss 2.0865 (1.9957)	Prec@1 49.500 (48.342)	Prec@5 75.000 (78.663)
Epoch: [57][3950/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.8536 (1.9957)	Prec@1 50.000 (48.342)	Prec@5 80.500 (78.664)
Epoch: [57][3960/9018]	Time 0.643 (0.624)	Data 0.001 (0.003)	Loss 1.8302 (1.9958)	Prec@1 50.000 (48.337)	Prec@5 77.500 (78.664)
Epoch: [57][3970/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 2.1147 (1.9959)	Prec@1 43.000 (48.331)	Prec@5 77.000 (78.663)
Epoch: [57][3980/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.9656 (1.9960)	Prec@1 49.000 (48.329)	Prec@5 78.500 (78.660)
Epoch: [57][3990/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.9650 (1.9960)	Prec@1 49.500 (48.330)	Prec@5 81.500 (78.662)
Epoch: [57][4000/9018]	Time 0.642 (0.624)	Data 0.001 (0.003)	Loss 1.8486 (1.9960)	Prec@1 50.500 (48.328)	Prec@5 80.500 (78.663)
Epoch: [57][4010/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.8993 (1.9961)	Prec@1 51.000 (48.327)	Prec@5 81.000 (78.662)
Epoch: [57][4020/9018]	Time 0.744 (0.624)	Data 0.001 (0.003)	Loss 1.8672 (1.9962)	Prec@1 54.500 (48.327)	Prec@5 80.500 (78.660)
Epoch: [57][4030/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 2.2683 (1.9963)	Prec@1 42.000 (48.321)	Prec@5 73.500 (78.659)
Epoch: [57][4040/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.8768 (1.9963)	Prec@1 47.000 (48.320)	Prec@5 80.500 (78.660)
Epoch: [57][4050/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.8989 (1.9962)	Prec@1 53.000 (48.320)	Prec@5 79.000 (78.662)
Epoch: [57][4060/9018]	Time 0.653 (0.624)	Data 0.001 (0.003)	Loss 2.0439 (1.9962)	Prec@1 49.500 (48.321)	Prec@5 77.000 (78.660)
Epoch: [57][4070/9018]	Time 0.779 (0.624)	Data 0.001 (0.003)	Loss 2.0389 (1.9963)	Prec@1 45.000 (48.317)	Prec@5 80.500 (78.661)
Epoch: [57][4080/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 2.0649 (1.9963)	Prec@1 48.000 (48.315)	Prec@5 78.000 (78.660)
Epoch: [57][4090/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 2.1199 (1.9965)	Prec@1 43.500 (48.314)	Prec@5 76.500 (78.655)
Epoch: [57][4100/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.7798 (1.9964)	Prec@1 51.000 (48.314)	Prec@5 81.500 (78.656)
Epoch: [57][4110/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.8165 (1.9964)	Prec@1 56.000 (48.317)	Prec@5 82.500 (78.656)
Epoch: [57][4120/9018]	Time 0.638 (0.624)	Data 0.001 (0.003)	Loss 1.9958 (1.9964)	Prec@1 51.500 (48.320)	Prec@5 78.500 (78.657)
Epoch: [57][4130/9018]	Time 0.637 (0.624)	Data 0.015 (0.003)	Loss 1.8866 (1.9963)	Prec@1 54.000 (48.324)	Prec@5 82.500 (78.657)
Epoch: [57][4140/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.9767 (1.9965)	Prec@1 49.000 (48.322)	Prec@5 79.000 (78.654)
Epoch: [57][4150/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 2.1366 (1.9965)	Prec@1 46.500 (48.321)	Prec@5 77.000 (78.653)
Epoch: [57][4160/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.9335 (1.9965)	Prec@1 49.500 (48.322)	Prec@5 78.000 (78.651)
Epoch: [57][4170/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.8684 (1.9965)	Prec@1 53.000 (48.319)	Prec@5 80.500 (78.652)
Epoch: [57][4180/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 2.0977 (1.9966)	Prec@1 45.500 (48.317)	Prec@5 78.500 (78.652)
Epoch: [57][4190/9018]	Time 0.612 (0.624)	Data 0.017 (0.003)	Loss 1.9651 (1.9965)	Prec@1 47.500 (48.321)	Prec@5 80.500 (78.656)
Epoch: [57][4200/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 2.2472 (1.9965)	Prec@1 39.500 (48.320)	Prec@5 74.500 (78.653)
Epoch: [57][4210/9018]	Time 0.639 (0.624)	Data 0.001 (0.003)	Loss 2.0348 (1.9965)	Prec@1 46.000 (48.319)	Prec@5 78.500 (78.652)
Epoch: [57][4220/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.8140 (1.9964)	Prec@1 49.000 (48.319)	Prec@5 80.500 (78.655)
Epoch: [57][4230/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.9848 (1.9965)	Prec@1 48.000 (48.316)	Prec@5 80.000 (78.655)
Epoch: [57][4240/9018]	Time 0.606 (0.624)	Data 0.015 (0.003)	Loss 2.0070 (1.9965)	Prec@1 49.500 (48.315)	Prec@5 75.000 (78.655)
Epoch: [57][4250/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.7380 (1.9963)	Prec@1 54.500 (48.320)	Prec@5 86.500 (78.659)
Epoch: [57][4260/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 2.1025 (1.9965)	Prec@1 49.500 (48.319)	Prec@5 76.000 (78.656)
Epoch: [57][4270/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.8907 (1.9965)	Prec@1 50.500 (48.316)	Prec@5 81.500 (78.656)
Epoch: [57][4280/9018]	Time 0.670 (0.624)	Data 0.001 (0.003)	Loss 1.7192 (1.9965)	Prec@1 54.000 (48.319)	Prec@5 82.500 (78.654)
Epoch: [57][4290/9018]	Time 0.640 (0.624)	Data 0.001 (0.003)	Loss 2.1181 (1.9963)	Prec@1 42.500 (48.322)	Prec@5 79.500 (78.658)
Epoch: [57][4300/9018]	Time 0.774 (0.624)	Data 0.001 (0.003)	Loss 1.7881 (1.9961)	Prec@1 50.500 (48.327)	Prec@5 82.000 (78.661)
Epoch: [57][4310/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 2.0901 (1.9963)	Prec@1 49.000 (48.325)	Prec@5 74.000 (78.657)
Epoch: [57][4320/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 2.1437 (1.9963)	Prec@1 49.500 (48.326)	Prec@5 76.000 (78.658)
Epoch: [57][4330/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 2.0990 (1.9962)	Prec@1 44.000 (48.323)	Prec@5 80.000 (78.661)
Epoch: [57][4340/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.9738 (1.9963)	Prec@1 48.500 (48.318)	Prec@5 80.500 (78.660)
Epoch: [57][4350/9018]	Time 0.773 (0.624)	Data 0.001 (0.003)	Loss 1.9073 (1.9964)	Prec@1 48.000 (48.314)	Prec@5 81.000 (78.661)
Epoch: [57][4360/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.7795 (1.9964)	Prec@1 52.000 (48.311)	Prec@5 83.000 (78.662)
Epoch: [57][4370/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.8505 (1.9963)	Prec@1 52.000 (48.314)	Prec@5 80.000 (78.663)
Epoch: [57][4380/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.7680 (1.9964)	Prec@1 48.000 (48.311)	Prec@5 85.500 (78.661)
Epoch: [57][4390/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 2.1532 (1.9965)	Prec@1 44.000 (48.308)	Prec@5 75.000 (78.659)
Epoch: [57][4400/9018]	Time 0.657 (0.624)	Data 0.001 (0.003)	Loss 1.8606 (1.9964)	Prec@1 53.000 (48.310)	Prec@5 81.000 (78.661)
Epoch: [57][4410/9018]	Time 0.646 (0.624)	Data 0.001 (0.003)	Loss 1.8755 (1.9965)	Prec@1 53.500 (48.309)	Prec@5 80.500 (78.659)
Epoch: [57][4420/9018]	Time 0.615 (0.624)	Data 0.014 (0.003)	Loss 1.9555 (1.9966)	Prec@1 51.000 (48.308)	Prec@5 78.500 (78.657)
Epoch: [57][4430/9018]	Time 0.618 (0.624)	Data 0.014 (0.003)	Loss 1.9584 (1.9967)	Prec@1 54.000 (48.310)	Prec@5 77.500 (78.655)
Epoch: [57][4440/9018]	Time 0.618 (0.624)	Data 0.015 (0.003)	Loss 2.0335 (1.9969)	Prec@1 50.000 (48.304)	Prec@5 76.500 (78.652)
Epoch: [57][4450/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.9214 (1.9969)	Prec@1 52.500 (48.306)	Prec@5 81.500 (78.653)
Epoch: [57][4460/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.8853 (1.9968)	Prec@1 50.000 (48.307)	Prec@5 83.000 (78.653)
Epoch: [57][4470/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.8204 (1.9970)	Prec@1 51.500 (48.303)	Prec@5 78.500 (78.649)
Epoch: [57][4480/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 2.1770 (1.9969)	Prec@1 49.500 (48.304)	Prec@5 73.500 (78.651)
Epoch: [57][4490/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.9917 (1.9968)	Prec@1 46.500 (48.304)	Prec@5 77.000 (78.653)
Epoch: [57][4500/9018]	Time 0.643 (0.624)	Data 0.001 (0.003)	Loss 1.9547 (1.9969)	Prec@1 47.000 (48.304)	Prec@5 77.000 (78.649)
Epoch: [57][4510/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 2.2040 (1.9970)	Prec@1 44.000 (48.303)	Prec@5 74.500 (78.647)
Epoch: [57][4520/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 2.3286 (1.9972)	Prec@1 40.000 (48.298)	Prec@5 73.000 (78.645)
Epoch: [57][4530/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.8639 (1.9972)	Prec@1 52.000 (48.298)	Prec@5 79.500 (78.645)
Epoch: [57][4540/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 2.0364 (1.9973)	Prec@1 44.500 (48.296)	Prec@5 80.500 (78.644)
Epoch: [57][4550/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 2.0782 (1.9974)	Prec@1 50.500 (48.296)	Prec@5 77.500 (78.641)
Epoch: [57][4560/9018]	Time 0.629 (0.624)	Data 0.014 (0.003)	Loss 2.2530 (1.9975)	Prec@1 42.000 (48.292)	Prec@5 71.500 (78.640)
Epoch: [57][4570/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 2.1657 (1.9975)	Prec@1 44.000 (48.290)	Prec@5 75.500 (78.639)
Epoch: [57][4580/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.9876 (1.9975)	Prec@1 50.000 (48.287)	Prec@5 80.500 (78.640)
Epoch: [57][4590/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 2.0199 (1.9977)	Prec@1 50.500 (48.283)	Prec@5 76.000 (78.640)
Epoch: [57][4600/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 2.0447 (1.9976)	Prec@1 49.000 (48.283)	Prec@5 80.000 (78.642)
Epoch: [57][4610/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.8927 (1.9976)	Prec@1 52.000 (48.284)	Prec@5 80.000 (78.644)
Epoch: [57][4620/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.8126 (1.9977)	Prec@1 53.000 (48.282)	Prec@5 81.000 (78.640)
Epoch: [57][4630/9018]	Time 0.816 (0.624)	Data 0.013 (0.003)	Loss 2.0055 (1.9978)	Prec@1 48.500 (48.278)	Prec@5 78.000 (78.636)
Epoch: [57][4640/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 2.0437 (1.9980)	Prec@1 45.500 (48.275)	Prec@5 76.000 (78.633)
Epoch: [57][4650/9018]	Time 0.623 (0.624)	Data 0.014 (0.003)	Loss 2.1905 (1.9980)	Prec@1 46.000 (48.274)	Prec@5 76.500 (78.631)
Epoch: [57][4660/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.9698 (1.9980)	Prec@1 48.500 (48.273)	Prec@5 76.000 (78.631)
Epoch: [57][4670/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 2.2325 (1.9981)	Prec@1 43.000 (48.272)	Prec@5 74.000 (78.632)
Epoch: [57][4680/9018]	Time 0.732 (0.624)	Data 0.001 (0.003)	Loss 2.1241 (1.9981)	Prec@1 46.500 (48.272)	Prec@5 76.000 (78.630)
Epoch: [57][4690/9018]	Time 0.632 (0.624)	Data 0.001 (0.003)	Loss 1.9045 (1.9981)	Prec@1 51.500 (48.271)	Prec@5 81.500 (78.631)
Epoch: [57][4700/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 2.1926 (1.9982)	Prec@1 41.000 (48.269)	Prec@5 76.500 (78.630)
Epoch: [57][4710/9018]	Time 0.636 (0.624)	Data 0.016 (0.003)	Loss 2.1448 (1.9983)	Prec@1 42.500 (48.269)	Prec@5 73.500 (78.626)
Epoch: [57][4720/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.9198 (1.9984)	Prec@1 47.500 (48.268)	Prec@5 77.000 (78.626)
Epoch: [57][4730/9018]	Time 0.606 (0.624)	Data 0.014 (0.003)	Loss 1.9987 (1.9985)	Prec@1 49.500 (48.269)	Prec@5 76.000 (78.623)
Epoch: [57][4740/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 2.0849 (1.9983)	Prec@1 45.000 (48.274)	Prec@5 76.000 (78.625)
Epoch: [57][4750/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 2.0055 (1.9984)	Prec@1 45.000 (48.265)	Prec@5 77.000 (78.623)
Epoch: [57][4760/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 2.1025 (1.9985)	Prec@1 45.000 (48.262)	Prec@5 76.000 (78.621)
Epoch: [57][4770/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 2.0126 (1.9987)	Prec@1 48.500 (48.259)	Prec@5 76.500 (78.617)
Epoch: [57][4780/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.9860 (1.9987)	Prec@1 46.500 (48.256)	Prec@5 79.000 (78.618)
Epoch: [57][4790/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.9479 (1.9987)	Prec@1 47.500 (48.254)	Prec@5 80.000 (78.618)
Epoch: [57][4800/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.9684 (1.9987)	Prec@1 48.000 (48.253)	Prec@5 77.500 (78.616)
Epoch: [57][4810/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 2.0215 (1.9986)	Prec@1 51.500 (48.255)	Prec@5 80.500 (78.615)
Epoch: [57][4820/9018]	Time 0.638 (0.624)	Data 0.001 (0.003)	Loss 2.0878 (1.9987)	Prec@1 45.500 (48.256)	Prec@5 81.000 (78.614)
Epoch: [57][4830/9018]	Time 0.618 (0.624)	Data 0.011 (0.003)	Loss 1.9463 (1.9987)	Prec@1 49.500 (48.251)	Prec@5 77.000 (78.614)
Epoch: [57][4840/9018]	Time 0.614 (0.624)	Data 0.017 (0.003)	Loss 1.9672 (1.9987)	Prec@1 46.500 (48.250)	Prec@5 80.500 (78.617)
Epoch: [57][4850/9018]	Time 0.635 (0.624)	Data 0.001 (0.003)	Loss 1.9407 (1.9987)	Prec@1 48.500 (48.252)	Prec@5 81.500 (78.617)
Epoch: [57][4860/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.9570 (1.9986)	Prec@1 47.000 (48.254)	Prec@5 81.000 (78.618)
Epoch: [57][4870/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.9881 (1.9986)	Prec@1 50.000 (48.258)	Prec@5 78.500 (78.618)
Epoch: [57][4880/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.8828 (1.9987)	Prec@1 47.500 (48.256)	Prec@5 79.000 (78.617)
Epoch: [57][4890/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 2.1475 (1.9987)	Prec@1 44.000 (48.253)	Prec@5 74.500 (78.616)
Epoch: [57][4900/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 2.0571 (1.9988)	Prec@1 50.000 (48.250)	Prec@5 78.500 (78.615)
Epoch: [57][4910/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 2.0233 (1.9986)	Prec@1 50.000 (48.254)	Prec@5 79.500 (78.618)
Epoch: [57][4920/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 2.0453 (1.9987)	Prec@1 49.500 (48.252)	Prec@5 75.500 (78.619)
Epoch: [57][4930/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.9289 (1.9987)	Prec@1 48.500 (48.250)	Prec@5 77.500 (78.618)
Epoch: [57][4940/9018]	Time 0.647 (0.624)	Data 0.001 (0.003)	Loss 1.7293 (1.9988)	Prec@1 55.500 (48.253)	Prec@5 81.000 (78.616)
Epoch: [57][4950/9018]	Time 0.630 (0.624)	Data 0.017 (0.003)	Loss 2.0984 (1.9988)	Prec@1 47.000 (48.251)	Prec@5 75.000 (78.615)
Epoch: [57][4960/9018]	Time 0.764 (0.624)	Data 0.001 (0.003)	Loss 2.0090 (1.9988)	Prec@1 49.000 (48.253)	Prec@5 78.500 (78.616)
Epoch: [57][4970/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 2.0134 (1.9987)	Prec@1 48.500 (48.255)	Prec@5 79.000 (78.617)
Epoch: [57][4980/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 2.1248 (1.9988)	Prec@1 43.500 (48.253)	Prec@5 78.000 (78.617)
Epoch: [57][4990/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 2.0509 (1.9988)	Prec@1 43.500 (48.251)	Prec@5 81.000 (78.616)
Epoch: [57][5000/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 2.0739 (1.9988)	Prec@1 45.000 (48.251)	Prec@5 77.500 (78.616)
Epoch: [57][5010/9018]	Time 0.709 (0.624)	Data 0.001 (0.003)	Loss 1.8929 (1.9988)	Prec@1 53.500 (48.253)	Prec@5 79.000 (78.616)
Epoch: [57][5020/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 1.8250 (1.9988)	Prec@1 52.000 (48.249)	Prec@5 79.500 (78.615)
Epoch: [57][5030/9018]	Time 0.663 (0.624)	Data 0.001 (0.003)	Loss 2.0929 (1.9990)	Prec@1 46.000 (48.249)	Prec@5 75.000 (78.612)
Epoch: [57][5040/9018]	Time 0.607 (0.624)	Data 0.017 (0.003)	Loss 1.8722 (1.9989)	Prec@1 49.000 (48.250)	Prec@5 84.000 (78.614)
Epoch: [57][5050/9018]	Time 0.638 (0.624)	Data 0.001 (0.003)	Loss 2.0038 (1.9989)	Prec@1 44.000 (48.248)	Prec@5 77.500 (78.612)
Epoch: [57][5060/9018]	Time 0.641 (0.624)	Data 0.001 (0.003)	Loss 1.8920 (1.9989)	Prec@1 52.500 (48.246)	Prec@5 79.500 (78.611)
Epoch: [57][5070/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 2.1761 (1.9990)	Prec@1 51.500 (48.246)	Prec@5 73.000 (78.607)
Epoch: [57][5080/9018]	Time 0.605 (0.624)	Data 0.017 (0.003)	Loss 2.0775 (1.9992)	Prec@1 46.500 (48.239)	Prec@5 77.000 (78.603)
Epoch: [57][5090/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.8308 (1.9991)	Prec@1 49.500 (48.242)	Prec@5 84.500 (78.606)
Epoch: [57][5100/9018]	Time 0.635 (0.624)	Data 0.016 (0.003)	Loss 1.8198 (1.9991)	Prec@1 51.000 (48.243)	Prec@5 81.000 (78.608)
Epoch: [57][5110/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 1.7191 (1.9990)	Prec@1 56.500 (48.244)	Prec@5 83.000 (78.609)
Epoch: [57][5120/9018]	Time 0.664 (0.624)	Data 0.001 (0.003)	Loss 1.9778 (1.9991)	Prec@1 52.500 (48.243)	Prec@5 79.500 (78.609)
Epoch: [57][5130/9018]	Time 0.644 (0.624)	Data 0.001 (0.003)	Loss 1.9876 (1.9991)	Prec@1 46.000 (48.242)	Prec@5 79.000 (78.609)
Epoch: [57][5140/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.9319 (1.9992)	Prec@1 51.500 (48.240)	Prec@5 81.000 (78.605)
Epoch: [57][5150/9018]	Time 0.618 (0.624)	Data 0.012 (0.003)	Loss 2.0053 (1.9992)	Prec@1 45.500 (48.237)	Prec@5 80.000 (78.605)
Epoch: [57][5160/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.6959 (1.9991)	Prec@1 52.500 (48.238)	Prec@5 85.500 (78.607)
Epoch: [57][5170/9018]	Time 0.635 (0.624)	Data 0.001 (0.003)	Loss 1.9878 (1.9991)	Prec@1 52.000 (48.238)	Prec@5 79.000 (78.605)
Epoch: [57][5180/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 2.0420 (1.9992)	Prec@1 47.500 (48.235)	Prec@5 81.000 (78.605)
Epoch: [57][5190/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.9186 (1.9993)	Prec@1 47.500 (48.235)	Prec@5 83.000 (78.605)
Epoch: [57][5200/9018]	Time 0.642 (0.624)	Data 0.014 (0.003)	Loss 2.1457 (1.9995)	Prec@1 41.000 (48.231)	Prec@5 77.500 (78.602)
Epoch: [57][5210/9018]	Time 0.656 (0.624)	Data 0.010 (0.003)	Loss 2.0060 (1.9995)	Prec@1 50.000 (48.232)	Prec@5 77.500 (78.603)
Epoch: [57][5220/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.9234 (1.9993)	Prec@1 50.500 (48.233)	Prec@5 80.000 (78.605)
Epoch: [57][5230/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.9431 (1.9994)	Prec@1 48.500 (48.234)	Prec@5 80.000 (78.606)
Epoch: [57][5240/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 2.1250 (1.9994)	Prec@1 42.000 (48.234)	Prec@5 76.500 (78.604)
Epoch: [57][5250/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.9333 (1.9994)	Prec@1 50.000 (48.234)	Prec@5 80.500 (78.604)
Epoch: [57][5260/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 2.0649 (1.9996)	Prec@1 47.500 (48.230)	Prec@5 76.500 (78.600)
Epoch: [57][5270/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.7634 (1.9995)	Prec@1 55.500 (48.229)	Prec@5 84.000 (78.599)
Epoch: [57][5280/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.8802 (1.9995)	Prec@1 48.000 (48.231)	Prec@5 80.000 (78.601)
Epoch: [57][5290/9018]	Time 0.787 (0.624)	Data 0.001 (0.003)	Loss 1.9823 (1.9995)	Prec@1 45.000 (48.229)	Prec@5 77.000 (78.599)
Epoch: [57][5300/9018]	Time 0.618 (0.624)	Data 0.017 (0.003)	Loss 1.8361 (1.9995)	Prec@1 54.000 (48.231)	Prec@5 82.500 (78.599)
Epoch: [57][5310/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.9801 (1.9996)	Prec@1 53.500 (48.233)	Prec@5 79.500 (78.597)
Epoch: [57][5320/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 2.1023 (1.9996)	Prec@1 44.500 (48.234)	Prec@5 77.000 (78.597)
Epoch: [57][5330/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 2.1068 (1.9996)	Prec@1 42.500 (48.233)	Prec@5 76.500 (78.596)
Epoch: [57][5340/9018]	Time 0.743 (0.624)	Data 0.001 (0.003)	Loss 1.9845 (1.9997)	Prec@1 49.500 (48.231)	Prec@5 76.000 (78.595)
Epoch: [57][5350/9018]	Time 0.638 (0.624)	Data 0.001 (0.003)	Loss 1.9998 (1.9998)	Prec@1 44.000 (48.227)	Prec@5 80.500 (78.594)
Epoch: [57][5360/9018]	Time 0.610 (0.624)	Data 0.017 (0.003)	Loss 2.0787 (1.9998)	Prec@1 46.000 (48.226)	Prec@5 78.500 (78.595)
Epoch: [57][5370/9018]	Time 0.660 (0.624)	Data 0.001 (0.003)	Loss 1.9397 (1.9997)	Prec@1 50.500 (48.229)	Prec@5 80.500 (78.597)
Epoch: [57][5380/9018]	Time 0.597 (0.624)	Data 0.014 (0.003)	Loss 1.7691 (1.9997)	Prec@1 55.500 (48.231)	Prec@5 82.500 (78.596)
Epoch: [57][5390/9018]	Time 0.638 (0.624)	Data 0.001 (0.003)	Loss 2.0602 (1.9998)	Prec@1 48.500 (48.230)	Prec@5 76.500 (78.595)
Epoch: [57][5400/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 2.0595 (1.9997)	Prec@1 49.000 (48.233)	Prec@5 75.500 (78.596)
Epoch: [57][5410/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 2.0770 (1.9997)	Prec@1 47.000 (48.234)	Prec@5 78.000 (78.595)
Epoch: [57][5420/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 2.0023 (1.9998)	Prec@1 48.500 (48.235)	Prec@5 79.500 (78.593)
Epoch: [57][5430/9018]	Time 0.602 (0.624)	Data 0.016 (0.003)	Loss 1.9018 (1.9998)	Prec@1 49.000 (48.235)	Prec@5 83.500 (78.592)
Epoch: [57][5440/9018]	Time 0.647 (0.625)	Data 0.001 (0.003)	Loss 1.9220 (1.9999)	Prec@1 47.500 (48.232)	Prec@5 77.500 (78.591)
Epoch: [57][5450/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.9843 (1.9998)	Prec@1 46.000 (48.231)	Prec@5 74.500 (78.590)
Epoch: [57][5460/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0574 (1.9999)	Prec@1 48.000 (48.228)	Prec@5 76.500 (78.589)
Epoch: [57][5470/9018]	Time 0.654 (0.624)	Data 0.001 (0.003)	Loss 1.8538 (1.9998)	Prec@1 51.500 (48.229)	Prec@5 82.000 (78.589)
Epoch: [57][5480/9018]	Time 0.611 (0.624)	Data 0.017 (0.003)	Loss 2.1911 (1.9999)	Prec@1 48.500 (48.226)	Prec@5 74.000 (78.587)
Epoch: [57][5490/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 2.0002 (2.0000)	Prec@1 49.500 (48.222)	Prec@5 82.500 (78.586)
Epoch: [57][5500/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 2.0235 (2.0002)	Prec@1 52.500 (48.218)	Prec@5 78.000 (78.581)
Epoch: [57][5510/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 2.0721 (2.0003)	Prec@1 45.500 (48.215)	Prec@5 76.500 (78.578)
Epoch: [57][5520/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.8487 (2.0003)	Prec@1 52.000 (48.215)	Prec@5 81.500 (78.579)
Epoch: [57][5530/9018]	Time 0.606 (0.625)	Data 0.015 (0.003)	Loss 2.1205 (2.0003)	Prec@1 44.000 (48.215)	Prec@5 75.500 (78.578)
Epoch: [57][5540/9018]	Time 0.614 (0.625)	Data 0.017 (0.003)	Loss 1.9526 (2.0003)	Prec@1 48.500 (48.217)	Prec@5 80.500 (78.579)
Epoch: [57][5550/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.0348 (2.0004)	Prec@1 49.500 (48.215)	Prec@5 77.500 (78.577)
Epoch: [57][5560/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.0450 (2.0004)	Prec@1 47.000 (48.213)	Prec@5 78.500 (78.575)
Epoch: [57][5570/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.8392 (2.0005)	Prec@1 54.500 (48.213)	Prec@5 80.500 (78.574)
Epoch: [57][5580/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 2.0247 (2.0005)	Prec@1 50.000 (48.214)	Prec@5 74.500 (78.574)
Epoch: [57][5590/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.1894 (2.0006)	Prec@1 45.000 (48.210)	Prec@5 73.000 (78.571)
Epoch: [57][5600/9018]	Time 0.650 (0.625)	Data 0.015 (0.003)	Loss 2.0925 (2.0006)	Prec@1 46.000 (48.211)	Prec@5 75.500 (78.571)
Epoch: [57][5610/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.8637 (2.0006)	Prec@1 46.500 (48.212)	Prec@5 85.000 (78.573)
Epoch: [57][5620/9018]	Time 0.777 (0.625)	Data 0.001 (0.003)	Loss 2.1478 (2.0007)	Prec@1 43.500 (48.208)	Prec@5 74.500 (78.573)
Epoch: [57][5630/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.8487 (2.0008)	Prec@1 51.000 (48.208)	Prec@5 83.000 (78.571)
Epoch: [57][5640/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.0407 (2.0008)	Prec@1 47.000 (48.207)	Prec@5 74.500 (78.569)
Epoch: [57][5650/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.0552 (2.0008)	Prec@1 51.500 (48.209)	Prec@5 79.000 (78.567)
Epoch: [57][5660/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 2.0347 (2.0008)	Prec@1 46.000 (48.209)	Prec@5 77.000 (78.568)
Epoch: [57][5670/9018]	Time 0.721 (0.625)	Data 0.001 (0.003)	Loss 1.8343 (2.0006)	Prec@1 51.500 (48.211)	Prec@5 82.500 (78.572)
Epoch: [57][5680/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 2.0829 (2.0007)	Prec@1 49.500 (48.209)	Prec@5 76.500 (78.570)
Epoch: [57][5690/9018]	Time 0.649 (0.625)	Data 0.001 (0.003)	Loss 1.9671 (2.0006)	Prec@1 47.000 (48.210)	Prec@5 81.000 (78.573)
Epoch: [57][5700/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 2.0063 (2.0007)	Prec@1 44.000 (48.209)	Prec@5 79.000 (78.573)
Epoch: [57][5710/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.2359 (2.0007)	Prec@1 46.500 (48.209)	Prec@5 77.000 (78.575)
Epoch: [57][5720/9018]	Time 0.657 (0.625)	Data 0.001 (0.003)	Loss 2.0301 (2.0006)	Prec@1 46.000 (48.207)	Prec@5 80.500 (78.579)
Epoch: [57][5730/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.9286 (2.0008)	Prec@1 49.500 (48.204)	Prec@5 81.000 (78.576)
Epoch: [57][5740/9018]	Time 0.616 (0.625)	Data 0.014 (0.003)	Loss 2.1654 (2.0009)	Prec@1 42.000 (48.203)	Prec@5 76.000 (78.575)
Epoch: [57][5750/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.8110 (2.0009)	Prec@1 54.500 (48.204)	Prec@5 78.500 (78.575)
Epoch: [57][5760/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.8889 (2.0008)	Prec@1 50.000 (48.206)	Prec@5 83.500 (78.575)
Epoch: [57][5770/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.1362 (2.0009)	Prec@1 45.500 (48.203)	Prec@5 76.000 (78.575)
Epoch: [57][5780/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.9410 (2.0008)	Prec@1 47.000 (48.204)	Prec@5 80.000 (78.574)
Epoch: [57][5790/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.9888 (2.0008)	Prec@1 52.000 (48.205)	Prec@5 78.500 (78.574)
Epoch: [57][5800/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 2.0243 (2.0008)	Prec@1 50.500 (48.205)	Prec@5 74.000 (78.571)
Epoch: [57][5810/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.9113 (2.0008)	Prec@1 50.000 (48.205)	Prec@5 81.500 (78.572)
Epoch: [57][5820/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.9624 (2.0008)	Prec@1 49.000 (48.204)	Prec@5 83.500 (78.574)
Epoch: [57][5830/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.9777 (2.0007)	Prec@1 49.000 (48.206)	Prec@5 76.000 (78.575)
Epoch: [57][5840/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 2.0582 (2.0006)	Prec@1 49.500 (48.207)	Prec@5 76.000 (78.574)
Epoch: [57][5850/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.9644 (2.0007)	Prec@1 43.000 (48.204)	Prec@5 82.000 (78.572)
Epoch: [57][5860/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.9048 (2.0007)	Prec@1 52.000 (48.207)	Prec@5 81.500 (78.573)
Epoch: [57][5870/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 2.4652 (2.0008)	Prec@1 41.000 (48.207)	Prec@5 72.500 (78.572)
Epoch: [57][5880/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 2.2975 (2.0009)	Prec@1 38.500 (48.205)	Prec@5 77.500 (78.572)
Epoch: [57][5890/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.1238 (2.0010)	Prec@1 42.500 (48.201)	Prec@5 76.000 (78.571)
Epoch: [57][5900/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.8049 (2.0009)	Prec@1 54.000 (48.203)	Prec@5 81.000 (78.573)
Epoch: [57][5910/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8023 (2.0010)	Prec@1 52.500 (48.201)	Prec@5 81.500 (78.570)
Epoch: [57][5920/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.9791 (2.0009)	Prec@1 50.500 (48.203)	Prec@5 81.500 (78.572)
Epoch: [57][5930/9018]	Time 0.649 (0.625)	Data 0.001 (0.003)	Loss 1.8182 (2.0009)	Prec@1 54.000 (48.203)	Prec@5 79.500 (78.569)
Epoch: [57][5940/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 2.0024 (2.0009)	Prec@1 51.500 (48.202)	Prec@5 77.000 (78.566)
Epoch: [57][5950/9018]	Time 0.751 (0.625)	Data 0.001 (0.003)	Loss 1.8034 (2.0009)	Prec@1 51.500 (48.202)	Prec@5 81.000 (78.566)
Epoch: [57][5960/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9215 (2.0009)	Prec@1 49.500 (48.199)	Prec@5 78.000 (78.566)
Epoch: [57][5970/9018]	Time 0.625 (0.625)	Data 0.010 (0.003)	Loss 2.1940 (2.0009)	Prec@1 44.500 (48.199)	Prec@5 75.000 (78.567)
Epoch: [57][5980/9018]	Time 0.600 (0.625)	Data 0.004 (0.003)	Loss 2.1431 (2.0009)	Prec@1 43.000 (48.197)	Prec@5 75.000 (78.567)
Epoch: [57][5990/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0878 (2.0010)	Prec@1 46.000 (48.197)	Prec@5 76.500 (78.567)
Epoch: [57][6000/9018]	Time 0.766 (0.625)	Data 0.017 (0.003)	Loss 1.7852 (2.0010)	Prec@1 52.000 (48.196)	Prec@5 81.000 (78.566)
Epoch: [57][6010/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.8987 (2.0010)	Prec@1 49.000 (48.196)	Prec@5 80.000 (78.567)
Epoch: [57][6020/9018]	Time 0.656 (0.625)	Data 0.001 (0.003)	Loss 1.9742 (2.0010)	Prec@1 48.500 (48.193)	Prec@5 82.500 (78.566)
Epoch: [57][6030/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 2.2616 (2.0010)	Prec@1 42.000 (48.191)	Prec@5 77.500 (78.567)
Epoch: [57][6040/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.0138 (2.0009)	Prec@1 48.500 (48.193)	Prec@5 77.500 (78.567)
Epoch: [57][6050/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 2.0047 (2.0009)	Prec@1 46.000 (48.193)	Prec@5 77.500 (78.567)
Epoch: [57][6060/9018]	Time 0.647 (0.625)	Data 0.016 (0.003)	Loss 2.2886 (2.0010)	Prec@1 43.500 (48.191)	Prec@5 71.000 (78.565)
Epoch: [57][6070/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.2217 (2.0008)	Prec@1 44.000 (48.194)	Prec@5 76.000 (78.568)
Epoch: [57][6080/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.1851 (2.0008)	Prec@1 44.500 (48.193)	Prec@5 78.000 (78.567)
Epoch: [57][6090/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.1508 (2.0009)	Prec@1 50.000 (48.194)	Prec@5 76.500 (78.566)
Epoch: [57][6100/9018]	Time 0.650 (0.625)	Data 0.001 (0.003)	Loss 2.0158 (2.0010)	Prec@1 49.500 (48.193)	Prec@5 79.000 (78.564)
Epoch: [57][6110/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.8574 (2.0010)	Prec@1 49.500 (48.195)	Prec@5 83.000 (78.564)
Epoch: [57][6120/9018]	Time 0.604 (0.625)	Data 0.017 (0.003)	Loss 1.9831 (2.0009)	Prec@1 52.000 (48.196)	Prec@5 80.000 (78.565)
Epoch: [57][6130/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 2.3504 (2.0010)	Prec@1 40.500 (48.196)	Prec@5 73.500 (78.564)
Epoch: [57][6140/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.8833 (2.0010)	Prec@1 55.500 (48.196)	Prec@5 77.000 (78.564)
Epoch: [57][6150/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8417 (2.0010)	Prec@1 48.000 (48.195)	Prec@5 83.000 (78.564)
Epoch: [57][6160/9018]	Time 0.604 (0.625)	Data 0.017 (0.003)	Loss 1.9725 (2.0012)	Prec@1 47.500 (48.191)	Prec@5 78.000 (78.561)
Epoch: [57][6170/9018]	Time 0.615 (0.625)	Data 0.006 (0.003)	Loss 2.0061 (2.0011)	Prec@1 53.500 (48.194)	Prec@5 79.500 (78.561)
Epoch: [57][6180/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.9771 (2.0011)	Prec@1 50.000 (48.194)	Prec@5 78.500 (78.561)
Epoch: [57][6190/9018]	Time 0.634 (0.625)	Data 0.013 (0.003)	Loss 2.0252 (2.0011)	Prec@1 47.000 (48.193)	Prec@5 78.000 (78.561)
Epoch: [57][6200/9018]	Time 0.656 (0.625)	Data 0.001 (0.003)	Loss 2.2097 (2.0013)	Prec@1 47.000 (48.191)	Prec@5 75.500 (78.560)
Epoch: [57][6210/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.7452 (2.0013)	Prec@1 51.000 (48.191)	Prec@5 84.000 (78.559)
Epoch: [57][6220/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 1.9271 (2.0012)	Prec@1 50.500 (48.193)	Prec@5 77.500 (78.560)
Epoch: [57][6230/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.0613 (2.0013)	Prec@1 45.000 (48.193)	Prec@5 76.000 (78.558)
Epoch: [57][6240/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.8229 (2.0013)	Prec@1 50.000 (48.195)	Prec@5 82.000 (78.559)
Epoch: [57][6250/9018]	Time 0.639 (0.625)	Data 0.013 (0.003)	Loss 2.0878 (2.0013)	Prec@1 47.500 (48.194)	Prec@5 78.000 (78.559)
Epoch: [57][6260/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 2.2890 (2.0014)	Prec@1 45.000 (48.194)	Prec@5 73.500 (78.558)
Epoch: [57][6270/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.1448 (2.0014)	Prec@1 45.500 (48.195)	Prec@5 73.000 (78.557)
Epoch: [57][6280/9018]	Time 0.764 (0.625)	Data 0.001 (0.003)	Loss 2.2180 (2.0014)	Prec@1 42.500 (48.191)	Prec@5 76.500 (78.557)
Epoch: [57][6290/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.9789 (2.0014)	Prec@1 44.500 (48.189)	Prec@5 83.500 (78.557)
Epoch: [57][6300/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.7920 (2.0014)	Prec@1 52.500 (48.191)	Prec@5 82.000 (78.557)
Epoch: [57][6310/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.8485 (2.0014)	Prec@1 47.000 (48.192)	Prec@5 81.500 (78.557)
Epoch: [57][6320/9018]	Time 0.624 (0.625)	Data 0.014 (0.003)	Loss 1.8488 (2.0015)	Prec@1 49.500 (48.191)	Prec@5 82.000 (78.555)
Epoch: [57][6330/9018]	Time 0.762 (0.625)	Data 0.013 (0.003)	Loss 2.0650 (2.0016)	Prec@1 45.000 (48.190)	Prec@5 73.500 (78.552)
Epoch: [57][6340/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 1.8466 (2.0016)	Prec@1 50.000 (48.187)	Prec@5 81.500 (78.552)
Epoch: [57][6350/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 2.2863 (2.0018)	Prec@1 40.500 (48.186)	Prec@5 73.500 (78.548)
Epoch: [57][6360/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.1410 (2.0019)	Prec@1 45.500 (48.186)	Prec@5 77.500 (78.547)
Epoch: [57][6370/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 1.9446 (2.0018)	Prec@1 49.000 (48.187)	Prec@5 79.000 (78.549)
Epoch: [57][6380/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.9010 (2.0016)	Prec@1 47.000 (48.188)	Prec@5 81.000 (78.552)
Epoch: [57][6390/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 2.0104 (2.0017)	Prec@1 49.500 (48.185)	Prec@5 77.000 (78.551)
Epoch: [57][6400/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 1.9934 (2.0017)	Prec@1 47.000 (48.186)	Prec@5 79.000 (78.551)
Epoch: [57][6410/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 2.0667 (2.0018)	Prec@1 45.000 (48.181)	Prec@5 78.500 (78.549)
Epoch: [57][6420/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 2.0019 (2.0018)	Prec@1 48.500 (48.181)	Prec@5 78.500 (78.549)
Epoch: [57][6430/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 2.2446 (2.0019)	Prec@1 44.000 (48.180)	Prec@5 71.500 (78.548)
Epoch: [57][6440/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9438 (2.0019)	Prec@1 45.500 (48.180)	Prec@5 80.500 (78.547)
Epoch: [57][6450/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.9211 (2.0019)	Prec@1 50.500 (48.179)	Prec@5 80.500 (78.548)
Epoch: [57][6460/9018]	Time 0.640 (0.625)	Data 0.015 (0.003)	Loss 1.9262 (2.0018)	Prec@1 50.000 (48.178)	Prec@5 80.000 (78.548)
Epoch: [57][6470/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 2.0498 (2.0018)	Prec@1 45.000 (48.177)	Prec@5 78.000 (78.551)
Epoch: [57][6480/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 2.0342 (2.0018)	Prec@1 52.500 (48.175)	Prec@5 77.500 (78.549)
Epoch: [57][6490/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.9414 (2.0018)	Prec@1 52.000 (48.176)	Prec@5 76.500 (78.550)
Epoch: [57][6500/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.8945 (2.0018)	Prec@1 46.000 (48.175)	Prec@5 83.500 (78.552)
Epoch: [57][6510/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.8332 (2.0018)	Prec@1 51.500 (48.173)	Prec@5 80.500 (78.551)
Epoch: [57][6520/9018]	Time 0.641 (0.625)	Data 0.003 (0.003)	Loss 1.9214 (2.0017)	Prec@1 53.000 (48.175)	Prec@5 81.000 (78.552)
Epoch: [57][6530/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.6806 (2.0016)	Prec@1 52.500 (48.177)	Prec@5 83.500 (78.553)
Epoch: [57][6540/9018]	Time 0.648 (0.625)	Data 0.001 (0.003)	Loss 1.8818 (2.0017)	Prec@1 48.500 (48.176)	Prec@5 81.000 (78.553)
Epoch: [57][6550/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.9292 (2.0016)	Prec@1 50.000 (48.178)	Prec@5 77.500 (78.553)
Epoch: [57][6560/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 2.0524 (2.0016)	Prec@1 45.000 (48.180)	Prec@5 77.000 (78.551)
Epoch: [57][6570/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.8313 (2.0016)	Prec@1 49.000 (48.181)	Prec@5 81.000 (78.553)
Epoch: [57][6580/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 2.0508 (2.0015)	Prec@1 47.000 (48.181)	Prec@5 80.500 (78.554)
Epoch: [57][6590/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 2.0936 (2.0016)	Prec@1 45.000 (48.180)	Prec@5 76.500 (78.552)
Epoch: [57][6600/9018]	Time 0.636 (0.626)	Data 0.001 (0.003)	Loss 1.8805 (2.0016)	Prec@1 49.500 (48.180)	Prec@5 82.000 (78.552)
Epoch: [57][6610/9018]	Time 0.809 (0.626)	Data 0.001 (0.003)	Loss 2.0226 (2.0015)	Prec@1 48.000 (48.182)	Prec@5 79.000 (78.553)
Epoch: [57][6620/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 1.9214 (2.0016)	Prec@1 49.500 (48.180)	Prec@5 82.500 (78.552)
Epoch: [57][6630/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 1.8075 (2.0016)	Prec@1 47.000 (48.179)	Prec@5 83.000 (78.553)
Epoch: [57][6640/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.1350 (2.0016)	Prec@1 48.500 (48.180)	Prec@5 77.000 (78.553)
Epoch: [57][6650/9018]	Time 0.636 (0.626)	Data 0.001 (0.003)	Loss 2.1157 (2.0016)	Prec@1 48.500 (48.182)	Prec@5 78.000 (78.553)
Epoch: [57][6660/9018]	Time 0.734 (0.626)	Data 0.001 (0.003)	Loss 2.1489 (2.0016)	Prec@1 46.000 (48.181)	Prec@5 76.500 (78.552)
Epoch: [57][6670/9018]	Time 0.625 (0.626)	Data 0.013 (0.003)	Loss 2.0475 (2.0016)	Prec@1 47.500 (48.181)	Prec@5 79.500 (78.552)
Epoch: [57][6680/9018]	Time 0.631 (0.626)	Data 0.014 (0.003)	Loss 1.9266 (2.0016)	Prec@1 52.000 (48.178)	Prec@5 80.000 (78.553)
Epoch: [57][6690/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 2.1322 (2.0017)	Prec@1 45.500 (48.176)	Prec@5 76.000 (78.551)
Epoch: [57][6700/9018]	Time 0.644 (0.626)	Data 0.001 (0.003)	Loss 2.1468 (2.0019)	Prec@1 42.500 (48.175)	Prec@5 75.000 (78.547)
Epoch: [57][6710/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 2.1624 (2.0020)	Prec@1 45.500 (48.174)	Prec@5 79.500 (78.545)
Epoch: [57][6720/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.0929 (2.0020)	Prec@1 47.000 (48.174)	Prec@5 77.000 (78.544)
Epoch: [57][6730/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.8428 (2.0020)	Prec@1 52.000 (48.173)	Prec@5 82.500 (78.544)
Epoch: [57][6740/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.2053 (2.0020)	Prec@1 44.000 (48.172)	Prec@5 76.000 (78.544)
Epoch: [57][6750/9018]	Time 0.634 (0.626)	Data 0.001 (0.003)	Loss 2.3018 (2.0021)	Prec@1 40.000 (48.171)	Prec@5 75.000 (78.544)
Epoch: [57][6760/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.0261 (2.0022)	Prec@1 44.500 (48.169)	Prec@5 77.000 (78.543)
Epoch: [57][6770/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.0236 (2.0022)	Prec@1 47.000 (48.168)	Prec@5 76.500 (78.541)
Epoch: [57][6780/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.0531 (2.0022)	Prec@1 48.000 (48.168)	Prec@5 76.500 (78.540)
Epoch: [57][6790/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 2.1402 (2.0023)	Prec@1 48.000 (48.166)	Prec@5 75.500 (78.537)
Epoch: [57][6800/9018]	Time 0.652 (0.626)	Data 0.016 (0.003)	Loss 2.1291 (2.0024)	Prec@1 46.000 (48.163)	Prec@5 76.000 (78.536)
Epoch: [57][6810/9018]	Time 0.626 (0.626)	Data 0.001 (0.003)	Loss 1.7392 (2.0023)	Prec@1 55.000 (48.167)	Prec@5 80.500 (78.538)
Epoch: [57][6820/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.0134 (2.0024)	Prec@1 46.000 (48.163)	Prec@5 76.000 (78.536)
Epoch: [57][6830/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 2.0996 (2.0024)	Prec@1 45.500 (48.162)	Prec@5 78.000 (78.536)
Epoch: [57][6840/9018]	Time 0.633 (0.626)	Data 0.013 (0.003)	Loss 1.8891 (2.0024)	Prec@1 53.500 (48.164)	Prec@5 78.000 (78.536)
Epoch: [57][6850/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.8809 (2.0023)	Prec@1 52.000 (48.166)	Prec@5 80.000 (78.536)
Epoch: [57][6860/9018]	Time 0.626 (0.626)	Data 0.001 (0.003)	Loss 2.0961 (2.0025)	Prec@1 42.500 (48.161)	Prec@5 76.500 (78.534)
Epoch: [57][6870/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.1077 (2.0026)	Prec@1 48.000 (48.159)	Prec@5 76.000 (78.532)
Epoch: [57][6880/9018]	Time 0.651 (0.626)	Data 0.017 (0.003)	Loss 2.0236 (2.0026)	Prec@1 49.000 (48.159)	Prec@5 81.000 (78.534)
Epoch: [57][6890/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.9414 (2.0026)	Prec@1 47.500 (48.159)	Prec@5 79.500 (78.533)
Epoch: [57][6900/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.8610 (2.0026)	Prec@1 53.000 (48.160)	Prec@5 81.000 (78.533)
Epoch: [57][6910/9018]	Time 0.617 (0.626)	Data 0.026 (0.003)	Loss 2.0635 (2.0027)	Prec@1 47.000 (48.157)	Prec@5 78.500 (78.531)
Epoch: [57][6920/9018]	Time 0.642 (0.626)	Data 0.001 (0.003)	Loss 2.0398 (2.0027)	Prec@1 48.500 (48.159)	Prec@5 80.000 (78.532)
Epoch: [57][6930/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.9266 (2.0026)	Prec@1 47.000 (48.162)	Prec@5 81.000 (78.533)
Epoch: [57][6940/9018]	Time 0.747 (0.626)	Data 0.001 (0.003)	Loss 2.1496 (2.0026)	Prec@1 43.500 (48.159)	Prec@5 78.000 (78.532)
Epoch: [57][6950/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 1.9053 (2.0026)	Prec@1 50.000 (48.160)	Prec@5 79.000 (78.532)
Epoch: [57][6960/9018]	Time 0.634 (0.626)	Data 0.002 (0.003)	Loss 2.1713 (2.0027)	Prec@1 44.500 (48.157)	Prec@5 76.000 (78.532)
Epoch: [57][6970/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.1764 (2.0026)	Prec@1 45.500 (48.158)	Prec@5 75.000 (78.534)
Epoch: [57][6980/9018]	Time 0.642 (0.626)	Data 0.001 (0.003)	Loss 1.8851 (2.0026)	Prec@1 51.500 (48.157)	Prec@5 79.500 (78.534)
Epoch: [57][6990/9018]	Time 0.750 (0.626)	Data 0.015 (0.003)	Loss 2.0405 (2.0026)	Prec@1 49.000 (48.160)	Prec@5 80.000 (78.535)
Epoch: [57][7000/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 1.8637 (2.0026)	Prec@1 50.000 (48.161)	Prec@5 80.500 (78.535)
Epoch: [57][7010/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 1.8569 (2.0025)	Prec@1 57.000 (48.164)	Prec@5 82.500 (78.536)
Epoch: [57][7020/9018]	Time 0.632 (0.626)	Data 0.001 (0.003)	Loss 1.8892 (2.0025)	Prec@1 54.000 (48.166)	Prec@5 80.000 (78.536)
Epoch: [57][7030/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.9407 (2.0025)	Prec@1 51.500 (48.166)	Prec@5 77.000 (78.535)
Epoch: [57][7040/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 1.7539 (2.0024)	Prec@1 55.000 (48.168)	Prec@5 85.000 (78.538)
Epoch: [57][7050/9018]	Time 0.633 (0.626)	Data 0.001 (0.003)	Loss 2.2728 (2.0024)	Prec@1 43.500 (48.169)	Prec@5 72.000 (78.538)
Epoch: [57][7060/9018]	Time 0.629 (0.626)	Data 0.014 (0.003)	Loss 1.9183 (2.0024)	Prec@1 43.500 (48.168)	Prec@5 80.000 (78.536)
Epoch: [57][7070/9018]	Time 0.640 (0.626)	Data 0.001 (0.003)	Loss 2.0202 (2.0025)	Prec@1 49.500 (48.167)	Prec@5 79.000 (78.535)
Epoch: [57][7080/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 1.9904 (2.0025)	Prec@1 50.000 (48.167)	Prec@5 77.500 (78.534)
Epoch: [57][7090/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.9302 (2.0025)	Prec@1 51.000 (48.168)	Prec@5 80.500 (78.536)
Epoch: [57][7100/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 2.0326 (2.0025)	Prec@1 47.500 (48.169)	Prec@5 78.500 (78.536)
Epoch: [57][7110/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.7067 (2.0025)	Prec@1 55.000 (48.170)	Prec@5 85.500 (78.537)
Epoch: [57][7120/9018]	Time 0.641 (0.626)	Data 0.001 (0.003)	Loss 2.0037 (2.0025)	Prec@1 49.000 (48.169)	Prec@5 78.500 (78.537)
Epoch: [57][7130/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.0042 (2.0025)	Prec@1 45.500 (48.172)	Prec@5 77.500 (78.538)
Epoch: [57][7140/9018]	Time 0.632 (0.626)	Data 0.001 (0.003)	Loss 2.0219 (2.0025)	Prec@1 44.500 (48.171)	Prec@5 76.500 (78.537)
Epoch: [57][7150/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 1.9915 (2.0026)	Prec@1 54.500 (48.172)	Prec@5 75.500 (78.535)
Epoch: [57][7160/9018]	Time 0.629 (0.626)	Data 0.016 (0.003)	Loss 1.9834 (2.0027)	Prec@1 48.500 (48.170)	Prec@5 80.500 (78.533)
Epoch: [57][7170/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 2.0607 (2.0027)	Prec@1 51.500 (48.168)	Prec@5 77.000 (78.532)
Epoch: [57][7180/9018]	Time 0.635 (0.626)	Data 0.001 (0.003)	Loss 2.1048 (2.0027)	Prec@1 43.000 (48.169)	Prec@5 77.500 (78.531)
Epoch: [57][7190/9018]	Time 0.648 (0.626)	Data 0.001 (0.003)	Loss 1.9458 (2.0027)	Prec@1 46.000 (48.169)	Prec@5 83.000 (78.532)
Epoch: [57][7200/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 2.1270 (2.0028)	Prec@1 46.000 (48.168)	Prec@5 78.500 (78.531)
Epoch: [57][7210/9018]	Time 0.629 (0.626)	Data 0.001 (0.003)	Loss 1.9273 (2.0028)	Prec@1 50.000 (48.168)	Prec@5 81.500 (78.532)
Epoch: [57][7220/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0780 (2.0028)	Prec@1 46.500 (48.166)	Prec@5 76.500 (78.532)
Epoch: [57][7230/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.1038 (2.0029)	Prec@1 49.500 (48.163)	Prec@5 76.000 (78.531)
Epoch: [57][7240/9018]	Time 0.645 (0.626)	Data 0.014 (0.003)	Loss 1.9122 (2.0029)	Prec@1 49.500 (48.163)	Prec@5 78.500 (78.530)
Epoch: [57][7250/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.0426 (2.0028)	Prec@1 46.000 (48.164)	Prec@5 80.000 (78.532)
Epoch: [57][7260/9018]	Time 0.636 (0.626)	Data 0.014 (0.003)	Loss 1.6402 (2.0027)	Prec@1 53.500 (48.168)	Prec@5 83.500 (78.533)
Epoch: [57][7270/9018]	Time 0.791 (0.626)	Data 0.001 (0.003)	Loss 1.9215 (2.0027)	Prec@1 50.500 (48.167)	Prec@5 85.000 (78.533)
Epoch: [57][7280/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.1780 (2.0027)	Prec@1 43.500 (48.166)	Prec@5 72.000 (78.534)
Epoch: [57][7290/9018]	Time 0.639 (0.626)	Data 0.001 (0.003)	Loss 1.8974 (2.0027)	Prec@1 47.500 (48.166)	Prec@5 78.500 (78.534)
Epoch: [57][7300/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 2.1684 (2.0028)	Prec@1 44.000 (48.165)	Prec@5 74.000 (78.533)
Epoch: [57][7310/9018]	Time 0.643 (0.626)	Data 0.001 (0.003)	Loss 1.9338 (2.0027)	Prec@1 44.500 (48.165)	Prec@5 84.500 (78.533)
Epoch: [57][7320/9018]	Time 0.769 (0.626)	Data 0.001 (0.003)	Loss 2.0369 (2.0029)	Prec@1 48.500 (48.162)	Prec@5 77.500 (78.530)
Epoch: [57][7330/9018]	Time 0.626 (0.626)	Data 0.001 (0.003)	Loss 2.0988 (2.0030)	Prec@1 46.500 (48.160)	Prec@5 76.000 (78.529)
Epoch: [57][7340/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 1.8495 (2.0030)	Prec@1 54.000 (48.160)	Prec@5 84.000 (78.529)
Epoch: [57][7350/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 1.9290 (2.0031)	Prec@1 45.000 (48.156)	Prec@5 79.500 (78.528)
Epoch: [57][7360/9018]	Time 0.639 (0.627)	Data 0.001 (0.003)	Loss 2.0614 (2.0032)	Prec@1 49.000 (48.156)	Prec@5 77.500 (78.527)
Epoch: [57][7370/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.0849 (2.0032)	Prec@1 47.000 (48.156)	Prec@5 74.500 (78.526)
Epoch: [57][7380/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.3421 (2.0032)	Prec@1 44.500 (48.155)	Prec@5 72.000 (78.525)
Epoch: [57][7390/9018]	Time 0.633 (0.627)	Data 0.016 (0.003)	Loss 1.8768 (2.0032)	Prec@1 53.500 (48.158)	Prec@5 83.000 (78.526)
Epoch: [57][7400/9018]	Time 0.647 (0.627)	Data 0.001 (0.003)	Loss 2.0628 (2.0031)	Prec@1 49.000 (48.158)	Prec@5 76.500 (78.526)
Epoch: [57][7410/9018]	Time 0.643 (0.627)	Data 0.001 (0.003)	Loss 1.9865 (2.0032)	Prec@1 50.500 (48.158)	Prec@5 78.000 (78.526)
Epoch: [57][7420/9018]	Time 0.604 (0.627)	Data 0.001 (0.003)	Loss 2.2343 (2.0033)	Prec@1 43.000 (48.156)	Prec@5 74.500 (78.525)
Epoch: [57][7430/9018]	Time 0.645 (0.627)	Data 0.001 (0.003)	Loss 2.0932 (2.0032)	Prec@1 46.500 (48.158)	Prec@5 80.000 (78.525)
Epoch: [57][7440/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 2.0057 (2.0032)	Prec@1 45.000 (48.159)	Prec@5 80.000 (78.525)
Epoch: [57][7450/9018]	Time 0.628 (0.627)	Data 0.001 (0.003)	Loss 1.6885 (2.0031)	Prec@1 51.500 (48.162)	Prec@5 84.500 (78.528)
Epoch: [57][7460/9018]	Time 0.597 (0.627)	Data 0.001 (0.003)	Loss 2.1179 (2.0031)	Prec@1 43.500 (48.160)	Prec@5 73.500 (78.529)
Epoch: [57][7470/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 2.1357 (2.0031)	Prec@1 45.000 (48.160)	Prec@5 77.500 (78.529)
Epoch: [57][7480/9018]	Time 0.644 (0.627)	Data 0.001 (0.003)	Loss 2.1657 (2.0031)	Prec@1 46.000 (48.161)	Prec@5 72.000 (78.529)
Epoch: [57][7490/9018]	Time 0.638 (0.627)	Data 0.001 (0.003)	Loss 2.1292 (2.0031)	Prec@1 47.500 (48.161)	Prec@5 79.500 (78.528)
Epoch: [57][7500/9018]	Time 0.631 (0.627)	Data 0.001 (0.003)	Loss 2.0552 (2.0032)	Prec@1 48.000 (48.159)	Prec@5 76.500 (78.527)
Epoch: [57][7510/9018]	Time 0.643 (0.627)	Data 0.001 (0.003)	Loss 1.8741 (2.0032)	Prec@1 52.000 (48.161)	Prec@5 81.000 (78.527)
Epoch: [57][7520/9018]	Time 0.631 (0.627)	Data 0.001 (0.003)	Loss 2.1356 (2.0032)	Prec@1 43.000 (48.160)	Prec@5 77.500 (78.528)
Epoch: [57][7530/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 1.9404 (2.0032)	Prec@1 50.000 (48.161)	Prec@5 83.000 (78.527)
Epoch: [57][7540/9018]	Time 0.639 (0.627)	Data 0.001 (0.003)	Loss 2.1242 (2.0033)	Prec@1 46.500 (48.159)	Prec@5 77.000 (78.526)
Epoch: [57][7550/9018]	Time 0.597 (0.627)	Data 0.001 (0.003)	Loss 2.0266 (2.0034)	Prec@1 48.500 (48.157)	Prec@5 79.500 (78.525)
Epoch: [57][7560/9018]	Time 0.633 (0.627)	Data 0.001 (0.003)	Loss 2.1829 (2.0034)	Prec@1 44.000 (48.157)	Prec@5 74.000 (78.524)
Epoch: [57][7570/9018]	Time 0.639 (0.627)	Data 0.001 (0.003)	Loss 2.1686 (2.0034)	Prec@1 44.000 (48.156)	Prec@5 75.500 (78.523)
Epoch: [57][7580/9018]	Time 0.629 (0.627)	Data 0.014 (0.003)	Loss 1.9454 (2.0035)	Prec@1 49.500 (48.157)	Prec@5 79.500 (78.521)
Epoch: [57][7590/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 2.0751 (2.0036)	Prec@1 48.500 (48.153)	Prec@5 78.500 (78.519)
Epoch: [57][7600/9018]	Time 0.810 (0.627)	Data 0.001 (0.003)	Loss 2.0003 (2.0035)	Prec@1 44.500 (48.154)	Prec@5 79.500 (78.520)
Epoch: [57][7610/9018]	Time 0.643 (0.627)	Data 0.001 (0.003)	Loss 1.9025 (2.0036)	Prec@1 50.000 (48.153)	Prec@5 81.500 (78.521)
Epoch: [57][7620/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 1.9745 (2.0035)	Prec@1 44.000 (48.152)	Prec@5 79.500 (78.523)
Epoch: [57][7630/9018]	Time 0.615 (0.627)	Data 0.017 (0.003)	Loss 1.9190 (2.0035)	Prec@1 50.000 (48.152)	Prec@5 80.000 (78.525)
Epoch: [57][7640/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 1.8284 (2.0035)	Prec@1 53.000 (48.155)	Prec@5 81.000 (78.527)
Epoch: [57][7650/9018]	Time 0.781 (0.627)	Data 0.001 (0.003)	Loss 2.0648 (2.0035)	Prec@1 48.500 (48.153)	Prec@5 75.500 (78.526)
Epoch: [57][7660/9018]	Time 0.644 (0.627)	Data 0.013 (0.003)	Loss 2.1237 (2.0035)	Prec@1 45.000 (48.153)	Prec@5 76.000 (78.527)
Epoch: [57][7670/9018]	Time 0.631 (0.627)	Data 0.014 (0.003)	Loss 1.9645 (2.0035)	Prec@1 44.500 (48.153)	Prec@5 81.500 (78.527)
Epoch: [57][7680/9018]	Time 0.626 (0.627)	Data 0.001 (0.003)	Loss 2.0006 (2.0036)	Prec@1 49.000 (48.155)	Prec@5 79.500 (78.525)
Epoch: [57][7690/9018]	Time 0.651 (0.627)	Data 0.001 (0.003)	Loss 1.8603 (2.0035)	Prec@1 51.500 (48.157)	Prec@5 80.500 (78.527)
Epoch: [57][7700/9018]	Time 0.636 (0.627)	Data 0.001 (0.003)	Loss 1.9754 (2.0035)	Prec@1 49.500 (48.155)	Prec@5 79.500 (78.527)
Epoch: [57][7710/9018]	Time 0.634 (0.627)	Data 0.003 (0.003)	Loss 2.0810 (2.0036)	Prec@1 47.500 (48.154)	Prec@5 79.500 (78.527)
Epoch: [57][7720/9018]	Time 0.605 (0.627)	Data 0.001 (0.003)	Loss 2.0136 (2.0036)	Prec@1 49.000 (48.153)	Prec@5 77.500 (78.528)
Epoch: [57][7730/9018]	Time 0.636 (0.627)	Data 0.001 (0.003)	Loss 2.0127 (2.0036)	Prec@1 46.500 (48.155)	Prec@5 80.500 (78.527)
Epoch: [57][7740/9018]	Time 0.617 (0.627)	Data 0.004 (0.003)	Loss 2.0146 (2.0037)	Prec@1 47.000 (48.152)	Prec@5 77.000 (78.527)
Epoch: [57][7750/9018]	Time 0.612 (0.627)	Data 0.008 (0.003)	Loss 1.9988 (2.0037)	Prec@1 45.500 (48.151)	Prec@5 79.500 (78.528)
Epoch: [57][7760/9018]	Time 0.618 (0.627)	Data 0.001 (0.003)	Loss 2.2144 (2.0036)	Prec@1 43.500 (48.153)	Prec@5 75.000 (78.528)
Epoch: [57][7770/9018]	Time 0.640 (0.627)	Data 0.015 (0.003)	Loss 1.9905 (2.0036)	Prec@1 49.000 (48.153)	Prec@5 79.500 (78.529)
Epoch: [57][7780/9018]	Time 0.611 (0.627)	Data 0.001 (0.003)	Loss 2.2514 (2.0037)	Prec@1 42.500 (48.151)	Prec@5 77.000 (78.526)
Epoch: [57][7790/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 1.9953 (2.0036)	Prec@1 47.000 (48.153)	Prec@5 77.500 (78.528)
Epoch: [57][7800/9018]	Time 0.624 (0.627)	Data 0.010 (0.003)	Loss 2.0639 (2.0037)	Prec@1 49.500 (48.153)	Prec@5 76.000 (78.527)
Epoch: [57][7810/9018]	Time 0.629 (0.627)	Data 0.016 (0.003)	Loss 1.7758 (2.0036)	Prec@1 53.000 (48.155)	Prec@5 83.500 (78.527)
Epoch: [57][7820/9018]	Time 0.617 (0.627)	Data 0.017 (0.003)	Loss 1.9414 (2.0037)	Prec@1 49.500 (48.153)	Prec@5 79.500 (78.525)
Epoch: [57][7830/9018]	Time 0.611 (0.627)	Data 0.001 (0.003)	Loss 2.0201 (2.0038)	Prec@1 50.000 (48.152)	Prec@5 76.000 (78.524)
Epoch: [57][7840/9018]	Time 0.618 (0.627)	Data 0.014 (0.003)	Loss 1.9318 (2.0037)	Prec@1 48.000 (48.151)	Prec@5 82.500 (78.524)
Epoch: [57][7850/9018]	Time 0.612 (0.627)	Data 0.001 (0.003)	Loss 2.0902 (2.0038)	Prec@1 46.000 (48.150)	Prec@5 77.500 (78.525)
Epoch: [57][7860/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.1211 (2.0038)	Prec@1 45.000 (48.149)	Prec@5 78.000 (78.525)
Epoch: [57][7870/9018]	Time 0.640 (0.627)	Data 0.001 (0.003)	Loss 1.8155 (2.0038)	Prec@1 54.500 (48.150)	Prec@5 84.000 (78.525)
Epoch: [57][7880/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 1.8482 (2.0039)	Prec@1 50.500 (48.147)	Prec@5 80.000 (78.524)
Epoch: [57][7890/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 2.1502 (2.0039)	Prec@1 45.000 (48.146)	Prec@5 75.500 (78.524)
Epoch: [57][7900/9018]	Time 0.644 (0.627)	Data 0.016 (0.003)	Loss 2.1915 (2.0040)	Prec@1 46.000 (48.146)	Prec@5 73.000 (78.523)
Epoch: [57][7910/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 2.0828 (2.0040)	Prec@1 51.000 (48.147)	Prec@5 75.500 (78.524)
Epoch: [57][7920/9018]	Time 0.639 (0.627)	Data 0.001 (0.003)	Loss 1.9838 (2.0039)	Prec@1 48.000 (48.147)	Prec@5 75.000 (78.523)
Epoch: [57][7930/9018]	Time 0.767 (0.627)	Data 0.001 (0.003)	Loss 2.1004 (2.0040)	Prec@1 45.000 (48.148)	Prec@5 79.000 (78.522)
Epoch: [57][7940/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 2.2726 (2.0041)	Prec@1 42.000 (48.145)	Prec@5 73.500 (78.521)
Epoch: [57][7950/9018]	Time 0.628 (0.627)	Data 0.001 (0.003)	Loss 2.2099 (2.0042)	Prec@1 46.500 (48.143)	Prec@5 74.500 (78.521)
Epoch: [57][7960/9018]	Time 0.637 (0.627)	Data 0.001 (0.003)	Loss 1.9135 (2.0041)	Prec@1 49.000 (48.143)	Prec@5 79.500 (78.520)
Epoch: [57][7970/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 1.9054 (2.0041)	Prec@1 45.500 (48.144)	Prec@5 81.500 (78.521)
Epoch: [57][7980/9018]	Time 0.759 (0.627)	Data 0.001 (0.003)	Loss 2.1540 (2.0042)	Prec@1 48.000 (48.143)	Prec@5 76.500 (78.520)
Epoch: [57][7990/9018]	Time 0.633 (0.627)	Data 0.001 (0.003)	Loss 2.0364 (2.0042)	Prec@1 49.500 (48.142)	Prec@5 77.500 (78.518)
Epoch: [57][8000/9018]	Time 0.611 (0.627)	Data 0.001 (0.003)	Loss 2.2991 (2.0043)	Prec@1 39.000 (48.140)	Prec@5 72.500 (78.516)
Epoch: [57][8010/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 2.0606 (2.0043)	Prec@1 45.000 (48.140)	Prec@5 79.000 (78.516)
Epoch: [57][8020/9018]	Time 0.636 (0.627)	Data 0.001 (0.003)	Loss 2.1104 (2.0044)	Prec@1 43.500 (48.140)	Prec@5 75.500 (78.516)
Epoch: [57][8030/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 2.1797 (2.0044)	Prec@1 47.500 (48.138)	Prec@5 73.500 (78.516)
Epoch: [57][8040/9018]	Time 0.634 (0.627)	Data 0.001 (0.003)	Loss 1.8857 (2.0044)	Prec@1 50.500 (48.136)	Prec@5 81.000 (78.515)
Epoch: [57][8050/9018]	Time 0.640 (0.627)	Data 0.017 (0.003)	Loss 1.7616 (2.0044)	Prec@1 53.500 (48.140)	Prec@5 85.000 (78.517)
Epoch: [57][8060/9018]	Time 0.639 (0.627)	Data 0.001 (0.003)	Loss 1.9428 (2.0044)	Prec@1 42.000 (48.141)	Prec@5 80.000 (78.518)
Epoch: [57][8070/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 1.8765 (2.0043)	Prec@1 47.000 (48.143)	Prec@5 81.500 (78.519)
Epoch: [57][8080/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 2.0360 (2.0043)	Prec@1 44.500 (48.141)	Prec@5 77.000 (78.519)
Epoch: [57][8090/9018]	Time 0.612 (0.627)	Data 0.001 (0.003)	Loss 1.9125 (2.0042)	Prec@1 49.000 (48.142)	Prec@5 79.500 (78.519)
Epoch: [57][8100/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 1.8403 (2.0043)	Prec@1 51.000 (48.141)	Prec@5 80.500 (78.519)
Epoch: [57][8110/9018]	Time 0.632 (0.627)	Data 0.011 (0.003)	Loss 1.9736 (2.0043)	Prec@1 50.000 (48.141)	Prec@5 80.500 (78.519)
Epoch: [57][8120/9018]	Time 0.635 (0.627)	Data 0.001 (0.003)	Loss 1.7483 (2.0043)	Prec@1 57.500 (48.141)	Prec@5 84.000 (78.521)
Epoch: [57][8130/9018]	Time 0.634 (0.627)	Data 0.001 (0.003)	Loss 2.0022 (2.0043)	Prec@1 48.000 (48.141)	Prec@5 78.500 (78.520)
Epoch: [57][8140/9018]	Time 0.625 (0.627)	Data 0.001 (0.003)	Loss 2.2081 (2.0044)	Prec@1 41.500 (48.139)	Prec@5 74.000 (78.517)
Epoch: [57][8150/9018]	Time 0.638 (0.627)	Data 0.001 (0.003)	Loss 2.0107 (2.0044)	Prec@1 43.000 (48.139)	Prec@5 79.500 (78.515)
Epoch: [57][8160/9018]	Time 0.627 (0.627)	Data 0.001 (0.003)	Loss 1.9936 (2.0044)	Prec@1 54.000 (48.139)	Prec@5 78.000 (78.516)
Epoch: [57][8170/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 2.1473 (2.0045)	Prec@1 45.500 (48.137)	Prec@5 75.000 (78.515)
Epoch: [57][8180/9018]	Time 0.640 (0.627)	Data 0.008 (0.003)	Loss 1.9791 (2.0045)	Prec@1 48.500 (48.136)	Prec@5 78.000 (78.514)
Epoch: [57][8190/9018]	Time 0.628 (0.627)	Data 0.001 (0.003)	Loss 1.9179 (2.0046)	Prec@1 50.500 (48.136)	Prec@5 78.500 (78.513)
Epoch: [57][8200/9018]	Time 0.632 (0.627)	Data 0.001 (0.003)	Loss 2.0243 (2.0046)	Prec@1 50.000 (48.134)	Prec@5 81.500 (78.514)
Epoch: [57][8210/9018]	Time 0.611 (0.627)	Data 0.001 (0.003)	Loss 2.2396 (2.0046)	Prec@1 47.000 (48.134)	Prec@5 77.000 (78.513)
Epoch: [57][8220/9018]	Time 0.632 (0.627)	Data 0.001 (0.003)	Loss 1.8593 (2.0046)	Prec@1 54.000 (48.135)	Prec@5 79.500 (78.513)
Epoch: [57][8230/9018]	Time 0.627 (0.627)	Data 0.001 (0.003)	Loss 2.0577 (2.0046)	Prec@1 43.500 (48.134)	Prec@5 78.500 (78.511)
Epoch: [57][8240/9018]	Time 0.606 (0.627)	Data 0.001 (0.003)	Loss 1.9413 (2.0046)	Prec@1 45.000 (48.134)	Prec@5 80.500 (78.512)
Epoch: [57][8250/9018]	Time 0.662 (0.628)	Data 0.001 (0.003)	Loss 2.2522 (2.0046)	Prec@1 46.000 (48.135)	Prec@5 77.000 (78.513)
Epoch: [57][8260/9018]	Time 0.757 (0.628)	Data 0.001 (0.003)	Loss 1.9560 (2.0046)	Prec@1 47.000 (48.135)	Prec@5 77.500 (78.512)
Epoch: [57][8270/9018]	Time 0.617 (0.628)	Data 0.001 (0.003)	Loss 2.0319 (2.0046)	Prec@1 44.500 (48.135)	Prec@5 77.000 (78.512)
Epoch: [57][8280/9018]	Time 0.642 (0.628)	Data 0.001 (0.003)	Loss 1.8109 (2.0046)	Prec@1 49.500 (48.135)	Prec@5 81.000 (78.511)
Epoch: [57][8290/9018]	Time 0.633 (0.628)	Data 0.001 (0.003)	Loss 1.9929 (2.0046)	Prec@1 46.500 (48.134)	Prec@5 79.000 (78.511)
Epoch: [57][8300/9018]	Time 0.612 (0.628)	Data 0.001 (0.003)	Loss 1.8876 (2.0047)	Prec@1 56.500 (48.133)	Prec@5 79.000 (78.512)
Epoch: [57][8310/9018]	Time 0.752 (0.628)	Data 0.001 (0.003)	Loss 2.0945 (2.0048)	Prec@1 45.500 (48.130)	Prec@5 80.000 (78.509)
Epoch: [57][8320/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 2.2087 (2.0048)	Prec@1 42.500 (48.129)	Prec@5 72.500 (78.507)
Epoch: [57][8330/9018]	Time 0.633 (0.628)	Data 0.003 (0.003)	Loss 2.1456 (2.0048)	Prec@1 47.000 (48.129)	Prec@5 72.000 (78.507)
Epoch: [57][8340/9018]	Time 0.631 (0.628)	Data 0.001 (0.003)	Loss 2.0423 (2.0050)	Prec@1 49.000 (48.128)	Prec@5 77.500 (78.504)
Epoch: [57][8350/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 2.0011 (2.0051)	Prec@1 47.500 (48.126)	Prec@5 82.500 (78.505)
Epoch: [57][8360/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 2.0941 (2.0051)	Prec@1 46.000 (48.123)	Prec@5 80.500 (78.507)
Epoch: [57][8370/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 2.0175 (2.0051)	Prec@1 47.000 (48.123)	Prec@5 79.000 (78.506)
Epoch: [57][8380/9018]	Time 0.635 (0.628)	Data 0.001 (0.003)	Loss 2.0675 (2.0052)	Prec@1 47.500 (48.123)	Prec@5 77.000 (78.504)
Epoch: [57][8390/9018]	Time 0.619 (0.628)	Data 0.001 (0.003)	Loss 1.9116 (2.0052)	Prec@1 49.500 (48.122)	Prec@5 82.500 (78.504)
Epoch: [57][8400/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 2.1474 (2.0052)	Prec@1 47.000 (48.121)	Prec@5 75.500 (78.503)
Epoch: [57][8410/9018]	Time 0.629 (0.628)	Data 0.001 (0.003)	Loss 1.8630 (2.0051)	Prec@1 49.000 (48.122)	Prec@5 84.000 (78.504)
Epoch: [57][8420/9018]	Time 0.640 (0.628)	Data 0.001 (0.003)	Loss 2.1025 (2.0052)	Prec@1 42.500 (48.120)	Prec@5 76.000 (78.503)
Epoch: [57][8430/9018]	Time 0.624 (0.628)	Data 0.001 (0.003)	Loss 1.8202 (2.0052)	Prec@1 53.500 (48.119)	Prec@5 83.500 (78.502)
Epoch: [57][8440/9018]	Time 0.610 (0.628)	Data 0.001 (0.003)	Loss 1.9844 (2.0051)	Prec@1 46.000 (48.120)	Prec@5 80.000 (78.505)
Epoch: [57][8450/9018]	Time 0.637 (0.628)	Data 0.001 (0.003)	Loss 1.7684 (2.0050)	Prec@1 55.500 (48.122)	Prec@5 82.500 (78.506)
Epoch: [57][8460/9018]	Time 0.611 (0.628)	Data 0.016 (0.003)	Loss 2.1439 (2.0049)	Prec@1 46.500 (48.126)	Prec@5 75.000 (78.507)
Epoch: [57][8470/9018]	Time 0.642 (0.628)	Data 0.001 (0.003)	Loss 2.0642 (2.0049)	Prec@1 47.500 (48.126)	Prec@5 80.500 (78.508)
Epoch: [57][8480/9018]	Time 0.624 (0.628)	Data 0.001 (0.003)	Loss 1.8749 (2.0049)	Prec@1 46.000 (48.124)	Prec@5 78.500 (78.508)
Epoch: [57][8490/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 2.0509 (2.0049)	Prec@1 49.500 (48.125)	Prec@5 77.000 (78.507)
Epoch: [57][8500/9018]	Time 0.644 (0.628)	Data 0.001 (0.003)	Loss 2.0729 (2.0049)	Prec@1 46.000 (48.125)	Prec@5 78.000 (78.507)
Epoch: [57][8510/9018]	Time 0.613 (0.628)	Data 0.001 (0.003)	Loss 2.0414 (2.0049)	Prec@1 47.500 (48.125)	Prec@5 79.500 (78.506)
Epoch: [57][8520/9018]	Time 0.642 (0.628)	Data 0.001 (0.003)	Loss 1.8513 (2.0049)	Prec@1 48.000 (48.124)	Prec@5 82.500 (78.507)
Epoch: [57][8530/9018]	Time 0.626 (0.628)	Data 0.012 (0.003)	Loss 1.9667 (2.0050)	Prec@1 53.000 (48.124)	Prec@5 76.500 (78.505)
Epoch: [57][8540/9018]	Time 0.625 (0.628)	Data 0.001 (0.003)	Loss 2.0157 (2.0050)	Prec@1 49.500 (48.125)	Prec@5 77.500 (78.506)
Epoch: [57][8550/9018]	Time 0.625 (0.628)	Data 0.001 (0.003)	Loss 2.1493 (2.0050)	Prec@1 48.500 (48.127)	Prec@5 74.500 (78.505)
Epoch: [57][8560/9018]	Time 0.610 (0.628)	Data 0.001 (0.003)	Loss 2.1487 (2.0049)	Prec@1 43.500 (48.127)	Prec@5 76.500 (78.505)
Epoch: [57][8570/9018]	Time 0.649 (0.628)	Data 0.001 (0.003)	Loss 2.1593 (2.0050)	Prec@1 45.500 (48.127)	Prec@5 78.500 (78.505)
Epoch: [57][8580/9018]	Time 0.652 (0.628)	Data 0.009 (0.003)	Loss 2.0631 (2.0050)	Prec@1 47.500 (48.126)	Prec@5 79.500 (78.506)
Epoch: [57][8590/9018]	Time 0.797 (0.628)	Data 0.003 (0.003)	Loss 1.9769 (2.0051)	Prec@1 49.500 (48.124)	Prec@5 78.000 (78.506)
Epoch: [57][8600/9018]	Time 0.639 (0.628)	Data 0.001 (0.003)	Loss 1.9680 (2.0051)	Prec@1 47.000 (48.124)	Prec@5 82.500 (78.506)
Epoch: [57][8610/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 2.0672 (2.0051)	Prec@1 46.500 (48.123)	Prec@5 74.000 (78.503)
Epoch: [57][8620/9018]	Time 0.637 (0.628)	Data 0.001 (0.003)	Loss 2.0762 (2.0051)	Prec@1 48.500 (48.123)	Prec@5 77.500 (78.503)
Epoch: [57][8630/9018]	Time 0.649 (0.628)	Data 0.001 (0.003)	Loss 2.1122 (2.0052)	Prec@1 48.000 (48.122)	Prec@5 80.500 (78.502)
Epoch: [57][8640/9018]	Time 0.732 (0.628)	Data 0.001 (0.003)	Loss 1.9362 (2.0052)	Prec@1 50.000 (48.124)	Prec@5 81.000 (78.503)
Epoch: [57][8650/9018]	Time 0.628 (0.628)	Data 0.016 (0.003)	Loss 2.0713 (2.0051)	Prec@1 48.500 (48.126)	Prec@5 77.000 (78.505)
Epoch: [57][8660/9018]	Time 0.643 (0.628)	Data 0.001 (0.003)	Loss 1.9891 (2.0052)	Prec@1 50.000 (48.126)	Prec@5 76.500 (78.502)
Epoch: [57][8670/9018]	Time 0.636 (0.628)	Data 0.001 (0.003)	Loss 2.0692 (2.0053)	Prec@1 44.500 (48.124)	Prec@5 79.000 (78.501)
Epoch: [57][8680/9018]	Time 0.608 (0.628)	Data 0.001 (0.003)	Loss 1.9757 (2.0053)	Prec@1 50.500 (48.123)	Prec@5 79.000 (78.500)
Epoch: [57][8690/9018]	Time 0.630 (0.628)	Data 0.001 (0.003)	Loss 1.9931 (2.0053)	Prec@1 52.000 (48.123)	Prec@5 77.000 (78.500)
Epoch: [57][8700/9018]	Time 0.640 (0.628)	Data 0.001 (0.003)	Loss 1.8038 (2.0053)	Prec@1 49.500 (48.121)	Prec@5 81.500 (78.501)
Epoch: [57][8710/9018]	Time 0.624 (0.628)	Data 0.001 (0.003)	Loss 2.1515 (2.0053)	Prec@1 46.000 (48.120)	Prec@5 73.000 (78.500)
Epoch: [57][8720/9018]	Time 0.637 (0.628)	Data 0.001 (0.003)	Loss 2.2012 (2.0053)	Prec@1 45.000 (48.121)	Prec@5 74.000 (78.499)
Epoch: [57][8730/9018]	Time 0.645 (0.628)	Data 0.001 (0.003)	Loss 2.2906 (2.0053)	Prec@1 44.000 (48.120)	Prec@5 71.000 (78.500)
Epoch: [57][8740/9018]	Time 0.631 (0.628)	Data 0.001 (0.003)	Loss 1.9684 (2.0053)	Prec@1 51.500 (48.120)	Prec@5 80.500 (78.500)
Epoch: [57][8750/9018]	Time 0.613 (0.628)	Data 0.001 (0.003)	Loss 1.9753 (2.0053)	Prec@1 49.000 (48.120)	Prec@5 80.000 (78.500)
Epoch: [57][8760/9018]	Time 0.614 (0.628)	Data 0.001 (0.003)	Loss 1.8962 (2.0053)	Prec@1 48.500 (48.120)	Prec@5 82.000 (78.502)
Epoch: [57][8770/9018]	Time 0.627 (0.628)	Data 0.015 (0.003)	Loss 2.0781 (2.0053)	Prec@1 46.500 (48.119)	Prec@5 78.500 (78.502)
Epoch: [57][8780/9018]	Time 0.624 (0.628)	Data 0.005 (0.003)	Loss 1.6913 (2.0053)	Prec@1 58.000 (48.119)	Prec@5 86.000 (78.504)
Epoch: [57][8790/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 2.1960 (2.0053)	Prec@1 44.000 (48.119)	Prec@5 73.500 (78.503)
Epoch: [57][8800/9018]	Time 0.632 (0.628)	Data 0.001 (0.003)	Loss 2.0787 (2.0054)	Prec@1 45.000 (48.118)	Prec@5 77.000 (78.503)
Epoch: [57][8810/9018]	Time 0.607 (0.628)	Data 0.001 (0.003)	Loss 1.9800 (2.0054)	Prec@1 49.000 (48.118)	Prec@5 79.000 (78.502)
Epoch: [57][8820/9018]	Time 0.623 (0.628)	Data 0.001 (0.003)	Loss 1.7817 (2.0053)	Prec@1 51.000 (48.120)	Prec@5 83.000 (78.503)
Epoch: [57][8830/9018]	Time 0.611 (0.628)	Data 0.004 (0.003)	Loss 2.0711 (2.0053)	Prec@1 43.000 (48.118)	Prec@5 77.500 (78.503)
Epoch: [57][8840/9018]	Time 0.614 (0.628)	Data 0.001 (0.003)	Loss 1.9275 (2.0053)	Prec@1 47.500 (48.116)	Prec@5 83.500 (78.504)
Epoch: [57][8850/9018]	Time 0.626 (0.628)	Data 0.016 (0.003)	Loss 1.8473 (2.0054)	Prec@1 49.500 (48.114)	Prec@5 82.500 (78.503)
Epoch: [57][8860/9018]	Time 0.626 (0.628)	Data 0.007 (0.003)	Loss 2.0726 (2.0054)	Prec@1 46.500 (48.115)	Prec@5 77.000 (78.503)
Epoch: [57][8870/9018]	Time 0.641 (0.628)	Data 0.001 (0.003)	Loss 2.0134 (2.0054)	Prec@1 46.000 (48.115)	Prec@5 77.500 (78.502)
Epoch: [57][8880/9018]	Time 0.654 (0.628)	Data 0.001 (0.003)	Loss 1.7467 (2.0053)	Prec@1 56.000 (48.117)	Prec@5 83.500 (78.503)
Epoch: [57][8890/9018]	Time 0.625 (0.628)	Data 0.001 (0.003)	Loss 2.1773 (2.0054)	Prec@1 47.500 (48.117)	Prec@5 75.000 (78.503)
Epoch: [57][8900/9018]	Time 0.631 (0.628)	Data 0.001 (0.003)	Loss 1.9955 (2.0054)	Prec@1 50.500 (48.117)	Prec@5 79.500 (78.503)
Epoch: [57][8910/9018]	Time 0.659 (0.628)	Data 0.001 (0.003)	Loss 1.9164 (2.0053)	Prec@1 50.500 (48.119)	Prec@5 81.500 (78.506)
Epoch: [57][8920/9018]	Time 0.729 (0.628)	Data 0.001 (0.003)	Loss 2.0429 (2.0053)	Prec@1 47.000 (48.118)	Prec@5 79.500 (78.504)
Epoch: [57][8930/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 2.0460 (2.0053)	Prec@1 45.000 (48.118)	Prec@5 75.500 (78.503)
Epoch: [57][8940/9018]	Time 0.642 (0.628)	Data 0.001 (0.003)	Loss 2.1202 (2.0053)	Prec@1 45.500 (48.119)	Prec@5 78.500 (78.504)
Epoch: [57][8950/9018]	Time 0.642 (0.628)	Data 0.001 (0.003)	Loss 1.8284 (2.0052)	Prec@1 51.500 (48.122)	Prec@5 83.500 (78.505)
Epoch: [57][8960/9018]	Time 0.645 (0.628)	Data 0.001 (0.003)	Loss 2.1957 (2.0053)	Prec@1 46.000 (48.120)	Prec@5 75.000 (78.503)
Epoch: [57][8970/9018]	Time 0.716 (0.628)	Data 0.001 (0.003)	Loss 1.8708 (2.0053)	Prec@1 48.500 (48.121)	Prec@5 81.000 (78.503)
Epoch: [57][8980/9018]	Time 0.631 (0.628)	Data 0.001 (0.003)	Loss 1.7692 (2.0053)	Prec@1 59.000 (48.122)	Prec@5 84.000 (78.504)
Epoch: [57][8990/9018]	Time 0.613 (0.628)	Data 0.001 (0.003)	Loss 1.9526 (2.0052)	Prec@1 52.500 (48.124)	Prec@5 80.000 (78.505)
Epoch: [57][9000/9018]	Time 0.633 (0.628)	Data 0.005 (0.003)	Loss 1.9167 (2.0052)	Prec@1 50.500 (48.126)	Prec@5 80.000 (78.505)
Epoch: [57][9010/9018]	Time 0.615 (0.628)	Data 0.000 (0.003)	Loss 1.8902 (2.0052)	Prec@1 49.000 (48.126)	Prec@5 79.000 (78.505)
Test: [0/183]	Time 1.662 (1.662)	Loss 2.4524 (2.4524)	Prec@1 39.000 (39.000)	Prec@5 73.500 (73.500)
Test: [10/183]	Time 0.191 (0.345)	Loss 1.5608 (1.7121)	Prec@1 63.500 (55.682)	Prec@5 86.000 (85.045)
Test: [20/183]	Time 0.219 (0.281)	Loss 2.4885 (1.7135)	Prec@1 35.000 (54.690)	Prec@5 70.000 (84.333)
Test: [30/183]	Time 0.189 (0.255)	Loss 2.1892 (1.7292)	Prec@1 36.000 (53.016)	Prec@5 79.000 (84.581)
Test: [40/183]	Time 0.200 (0.245)	Loss 2.3858 (1.7435)	Prec@1 36.000 (53.415)	Prec@5 75.500 (83.671)
Test: [50/183]	Time 0.204 (0.238)	Loss 1.3909 (1.7038)	Prec@1 65.000 (54.382)	Prec@5 89.500 (84.216)
Test: [60/183]	Time 0.211 (0.234)	Loss 2.3219 (1.7725)	Prec@1 42.500 (52.336)	Prec@5 74.500 (83.500)
Test: [70/183]	Time 0.208 (0.231)	Loss 1.7441 (1.7498)	Prec@1 50.500 (52.746)	Prec@5 87.000 (84.028)
Test: [80/183]	Time 0.191 (0.229)	Loss 1.4079 (1.7414)	Prec@1 62.000 (52.938)	Prec@5 92.500 (84.130)
Test: [90/183]	Time 0.215 (0.227)	Loss 2.6539 (1.7469)	Prec@1 27.000 (52.753)	Prec@5 70.500 (83.978)
Test: [100/183]	Time 0.219 (0.225)	Loss 0.7545 (1.7464)	Prec@1 77.000 (52.733)	Prec@5 95.000 (83.941)
Test: [110/183]	Time 0.195 (0.223)	Loss 0.8655 (1.7527)	Prec@1 78.500 (52.653)	Prec@5 93.500 (83.680)
Test: [120/183]	Time 0.182 (0.223)	Loss 2.0509 (1.7551)	Prec@1 42.500 (52.397)	Prec@5 75.500 (83.694)
Test: [130/183]	Time 0.193 (0.221)	Loss 2.9614 (1.7647)	Prec@1 22.500 (52.206)	Prec@5 68.500 (83.698)
Test: [140/183]	Time 0.196 (0.220)	Loss 1.6122 (1.7539)	Prec@1 56.000 (52.567)	Prec@5 85.000 (83.879)
Test: [150/183]	Time 0.219 (0.219)	Loss 0.7458 (1.7494)	Prec@1 79.000 (52.702)	Prec@5 98.000 (83.930)
Test: [160/183]	Time 0.195 (0.218)	Loss 1.9879 (1.7473)	Prec@1 48.500 (52.932)	Prec@5 77.000 (83.925)
Test: [170/183]	Time 0.181 (0.218)	Loss 2.2205 (1.7664)	Prec@1 37.500 (52.398)	Prec@5 80.000 (83.599)
Test: [180/183]	Time 0.182 (0.217)	Loss 2.2781 (1.7756)	Prec@1 38.500 (52.334)	Prec@5 77.500 (83.390)
 * Prec@1 52.318 Prec@5 83.389
Epoch: [58][0/9018]	Time 3.069 (3.069)	Data 2.445 (2.445)	Loss 1.8576 (1.8576)	Prec@1 55.000 (55.000)	Prec@5 82.500 (82.500)
Epoch: [58][10/9018]	Time 0.624 (0.865)	Data 0.001 (0.226)	Loss 1.6703 (1.9546)	Prec@1 53.500 (49.318)	Prec@5 83.500 (78.864)
Epoch: [58][20/9018]	Time 0.618 (0.758)	Data 0.001 (0.121)	Loss 2.1953 (2.0247)	Prec@1 41.000 (47.952)	Prec@5 75.000 (78.000)
Epoch: [58][30/9018]	Time 0.623 (0.715)	Data 0.016 (0.083)	Loss 2.0865 (2.0094)	Prec@1 51.000 (48.016)	Prec@5 76.500 (78.177)
Epoch: [58][40/9018]	Time 0.615 (0.697)	Data 0.001 (0.063)	Loss 2.1086 (2.0013)	Prec@1 46.000 (48.085)	Prec@5 74.500 (78.329)
Epoch: [58][50/9018]	Time 0.777 (0.686)	Data 0.001 (0.051)	Loss 1.7902 (1.9836)	Prec@1 55.500 (48.245)	Prec@5 80.000 (78.725)
Epoch: [58][60/9018]	Time 0.632 (0.676)	Data 0.001 (0.044)	Loss 1.7062 (1.9822)	Prec@1 56.500 (48.246)	Prec@5 84.000 (78.959)
Epoch: [58][70/9018]	Time 0.633 (0.671)	Data 0.001 (0.038)	Loss 2.0750 (1.9803)	Prec@1 45.500 (48.239)	Prec@5 77.500 (78.951)
Epoch: [58][80/9018]	Time 0.620 (0.665)	Data 0.001 (0.034)	Loss 1.7797 (1.9675)	Prec@1 52.500 (48.525)	Prec@5 82.000 (79.179)
Epoch: [58][90/9018]	Time 0.632 (0.662)	Data 0.001 (0.030)	Loss 2.2086 (1.9742)	Prec@1 42.500 (48.604)	Prec@5 78.000 (79.148)
Epoch: [58][100/9018]	Time 0.770 (0.661)	Data 0.001 (0.027)	Loss 1.9558 (1.9770)	Prec@1 44.500 (48.421)	Prec@5 80.500 (79.025)
Epoch: [58][110/9018]	Time 0.619 (0.657)	Data 0.001 (0.025)	Loss 1.8770 (1.9784)	Prec@1 52.500 (48.437)	Prec@5 80.000 (79.009)
Epoch: [58][120/9018]	Time 0.638 (0.656)	Data 0.001 (0.023)	Loss 1.9863 (1.9763)	Prec@1 48.500 (48.504)	Prec@5 80.500 (79.021)
Epoch: [58][130/9018]	Time 0.634 (0.654)	Data 0.001 (0.022)	Loss 1.9724 (1.9763)	Prec@1 49.500 (48.469)	Prec@5 76.000 (78.981)
Epoch: [58][140/9018]	Time 0.638 (0.654)	Data 0.005 (0.020)	Loss 1.9087 (1.9810)	Prec@1 50.500 (48.397)	Prec@5 80.000 (78.943)
Epoch: [58][150/9018]	Time 0.614 (0.653)	Data 0.001 (0.019)	Loss 2.0221 (1.9813)	Prec@1 45.000 (48.384)	Prec@5 74.500 (78.950)
Epoch: [58][160/9018]	Time 0.617 (0.651)	Data 0.001 (0.018)	Loss 2.0114 (1.9812)	Prec@1 40.500 (48.314)	Prec@5 78.500 (78.950)
Epoch: [58][170/9018]	Time 0.625 (0.650)	Data 0.001 (0.017)	Loss 1.9115 (1.9778)	Prec@1 55.000 (48.497)	Prec@5 79.500 (79.091)
Epoch: [58][180/9018]	Time 0.621 (0.648)	Data 0.001 (0.016)	Loss 1.9466 (1.9787)	Prec@1 48.500 (48.395)	Prec@5 76.500 (79.127)
Epoch: [58][190/9018]	Time 0.609 (0.648)	Data 0.001 (0.016)	Loss 2.0112 (1.9779)	Prec@1 49.000 (48.421)	Prec@5 79.000 (79.147)
Epoch: [58][200/9018]	Time 0.623 (0.648)	Data 0.001 (0.015)	Loss 2.0621 (1.9785)	Prec@1 47.000 (48.415)	Prec@5 77.500 (79.154)
Epoch: [58][210/9018]	Time 0.628 (0.647)	Data 0.001 (0.014)	Loss 1.8297 (1.9764)	Prec@1 52.000 (48.507)	Prec@5 80.000 (79.147)
Epoch: [58][220/9018]	Time 0.629 (0.646)	Data 0.001 (0.014)	Loss 1.9664 (1.9749)	Prec@1 49.500 (48.566)	Prec@5 77.500 (79.174)
Epoch: [58][230/9018]	Time 0.619 (0.645)	Data 0.001 (0.013)	Loss 1.9858 (1.9757)	Prec@1 45.000 (48.541)	Prec@5 82.000 (79.190)
Epoch: [58][240/9018]	Time 0.638 (0.645)	Data 0.005 (0.013)	Loss 1.9958 (1.9764)	Prec@1 50.500 (48.544)	Prec@5 77.500 (79.145)
Epoch: [58][250/9018]	Time 0.622 (0.645)	Data 0.001 (0.013)	Loss 2.0467 (1.9769)	Prec@1 42.000 (48.486)	Prec@5 76.500 (79.171)
Epoch: [58][260/9018]	Time 0.648 (0.645)	Data 0.001 (0.012)	Loss 1.9385 (1.9756)	Prec@1 49.000 (48.567)	Prec@5 81.000 (79.178)
Epoch: [58][270/9018]	Time 0.618 (0.645)	Data 0.001 (0.012)	Loss 1.9119 (1.9763)	Prec@1 49.500 (48.581)	Prec@5 82.500 (79.175)
Epoch: [58][280/9018]	Time 0.637 (0.644)	Data 0.001 (0.011)	Loss 2.0980 (1.9778)	Prec@1 43.500 (48.512)	Prec@5 77.000 (79.142)
Epoch: [58][290/9018]	Time 0.624 (0.644)	Data 0.017 (0.011)	Loss 2.0127 (1.9780)	Prec@1 49.000 (48.521)	Prec@5 79.500 (79.131)
Epoch: [58][300/9018]	Time 0.615 (0.644)	Data 0.001 (0.011)	Loss 2.1318 (1.9755)	Prec@1 43.500 (48.551)	Prec@5 75.000 (79.143)
Epoch: [58][310/9018]	Time 0.625 (0.644)	Data 0.001 (0.011)	Loss 1.8578 (1.9736)	Prec@1 47.000 (48.593)	Prec@5 76.000 (79.164)
Epoch: [58][320/9018]	Time 0.614 (0.643)	Data 0.003 (0.010)	Loss 1.9323 (1.9750)	Prec@1 49.500 (48.548)	Prec@5 81.000 (79.136)
Epoch: [58][330/9018]	Time 0.625 (0.643)	Data 0.001 (0.010)	Loss 1.7035 (1.9737)	Prec@1 55.500 (48.573)	Prec@5 84.000 (79.181)
Epoch: [58][340/9018]	Time 0.619 (0.643)	Data 0.001 (0.010)	Loss 1.7780 (1.9730)	Prec@1 49.500 (48.565)	Prec@5 85.500 (79.233)
Epoch: [58][350/9018]	Time 0.643 (0.643)	Data 0.001 (0.010)	Loss 2.1143 (1.9737)	Prec@1 46.500 (48.564)	Prec@5 78.500 (79.232)
Epoch: [58][360/9018]	Time 0.635 (0.642)	Data 0.001 (0.009)	Loss 1.9783 (1.9730)	Prec@1 49.000 (48.589)	Prec@5 79.000 (79.260)
Epoch: [58][370/9018]	Time 0.618 (0.642)	Data 0.001 (0.009)	Loss 2.0396 (1.9707)	Prec@1 45.500 (48.679)	Prec@5 78.500 (79.259)
Epoch: [58][380/9018]	Time 0.753 (0.642)	Data 0.017 (0.009)	Loss 2.0082 (1.9710)	Prec@1 50.500 (48.678)	Prec@5 77.500 (79.231)
Epoch: [58][390/9018]	Time 0.622 (0.642)	Data 0.001 (0.009)	Loss 1.9003 (1.9719)	Prec@1 52.500 (48.702)	Prec@5 82.500 (79.217)
Epoch: [58][400/9018]	Time 0.635 (0.642)	Data 0.001 (0.009)	Loss 2.1145 (1.9718)	Prec@1 45.500 (48.708)	Prec@5 78.000 (79.207)
Epoch: [58][410/9018]	Time 0.621 (0.641)	Data 0.001 (0.009)	Loss 1.8729 (1.9725)	Prec@1 51.000 (48.707)	Prec@5 79.500 (79.178)
Epoch: [58][420/9018]	Time 0.627 (0.641)	Data 0.001 (0.009)	Loss 2.0190 (1.9734)	Prec@1 45.000 (48.665)	Prec@5 78.500 (79.185)
Epoch: [58][430/9018]	Time 0.746 (0.641)	Data 0.015 (0.008)	Loss 1.8445 (1.9743)	Prec@1 53.000 (48.695)	Prec@5 81.000 (79.176)
Epoch: [58][440/9018]	Time 0.624 (0.641)	Data 0.001 (0.008)	Loss 2.1782 (1.9762)	Prec@1 44.500 (48.634)	Prec@5 75.500 (79.125)
Epoch: [58][450/9018]	Time 0.630 (0.641)	Data 0.001 (0.008)	Loss 1.9415 (1.9764)	Prec@1 45.500 (48.633)	Prec@5 80.500 (79.120)
Epoch: [58][460/9018]	Time 0.629 (0.641)	Data 0.001 (0.008)	Loss 1.7636 (1.9756)	Prec@1 55.500 (48.645)	Prec@5 81.500 (79.145)
Epoch: [58][470/9018]	Time 0.636 (0.641)	Data 0.016 (0.008)	Loss 2.0028 (1.9748)	Prec@1 50.500 (48.665)	Prec@5 77.500 (79.156)
Epoch: [58][480/9018]	Time 0.634 (0.640)	Data 0.001 (0.008)	Loss 1.9539 (1.9751)	Prec@1 46.000 (48.649)	Prec@5 82.000 (79.147)
Epoch: [58][490/9018]	Time 0.612 (0.640)	Data 0.001 (0.008)	Loss 2.1183 (1.9727)	Prec@1 44.500 (48.711)	Prec@5 77.000 (79.190)
Epoch: [58][500/9018]	Time 0.629 (0.640)	Data 0.001 (0.008)	Loss 1.9314 (1.9721)	Prec@1 54.500 (48.747)	Prec@5 78.500 (79.192)
Epoch: [58][510/9018]	Time 0.635 (0.640)	Data 0.001 (0.007)	Loss 2.0785 (1.9725)	Prec@1 45.000 (48.740)	Prec@5 83.000 (79.180)
Epoch: [58][520/9018]	Time 0.624 (0.640)	Data 0.001 (0.007)	Loss 1.9660 (1.9729)	Prec@1 52.000 (48.741)	Prec@5 75.000 (79.167)
Epoch: [58][530/9018]	Time 0.601 (0.640)	Data 0.010 (0.007)	Loss 2.0123 (1.9756)	Prec@1 50.000 (48.699)	Prec@5 80.000 (79.116)
Epoch: [58][540/9018]	Time 0.630 (0.640)	Data 0.001 (0.007)	Loss 1.9000 (1.9749)	Prec@1 46.000 (48.700)	Prec@5 79.500 (79.104)
Epoch: [58][550/9018]	Time 0.618 (0.640)	Data 0.001 (0.007)	Loss 2.1589 (1.9740)	Prec@1 47.500 (48.730)	Prec@5 75.000 (79.110)
Epoch: [58][560/9018]	Time 0.617 (0.640)	Data 0.001 (0.007)	Loss 2.1290 (1.9738)	Prec@1 47.500 (48.747)	Prec@5 71.500 (79.120)
Epoch: [58][570/9018]	Time 0.645 (0.640)	Data 0.001 (0.007)	Loss 1.9738 (1.9745)	Prec@1 51.500 (48.746)	Prec@5 79.500 (79.104)
Epoch: [58][580/9018]	Time 0.620 (0.640)	Data 0.001 (0.007)	Loss 1.9775 (1.9762)	Prec@1 49.000 (48.717)	Prec@5 80.500 (79.067)
Epoch: [58][590/9018]	Time 0.640 (0.640)	Data 0.001 (0.007)	Loss 2.1097 (1.9766)	Prec@1 44.500 (48.694)	Prec@5 80.000 (79.074)
Epoch: [58][600/9018]	Time 0.624 (0.640)	Data 0.001 (0.007)	Loss 2.0076 (1.9755)	Prec@1 47.500 (48.709)	Prec@5 79.000 (79.092)
Epoch: [58][610/9018]	Time 0.613 (0.639)	Data 0.001 (0.007)	Loss 2.0133 (1.9752)	Prec@1 51.000 (48.726)	Prec@5 81.000 (79.093)
Epoch: [58][620/9018]	Time 0.613 (0.639)	Data 0.001 (0.007)	Loss 1.9460 (1.9744)	Prec@1 49.000 (48.740)	Prec@5 81.000 (79.111)
Epoch: [58][630/9018]	Time 0.619 (0.639)	Data 0.001 (0.006)	Loss 2.0996 (1.9760)	Prec@1 48.500 (48.712)	Prec@5 76.500 (79.075)
Epoch: [58][640/9018]	Time 0.637 (0.639)	Data 0.017 (0.006)	Loss 1.9144 (1.9754)	Prec@1 50.000 (48.716)	Prec@5 77.000 (79.086)
Epoch: [58][650/9018]	Time 0.629 (0.639)	Data 0.001 (0.006)	Loss 2.0082 (1.9755)	Prec@1 46.500 (48.717)	Prec@5 76.000 (79.076)
Epoch: [58][660/9018]	Time 0.604 (0.639)	Data 0.001 (0.006)	Loss 2.0601 (1.9761)	Prec@1 44.500 (48.703)	Prec@5 78.000 (79.059)
Epoch: [58][670/9018]	Time 0.639 (0.639)	Data 0.001 (0.006)	Loss 1.9153 (1.9766)	Prec@1 47.500 (48.681)	Prec@5 80.500 (79.048)
Epoch: [58][680/9018]	Time 0.622 (0.639)	Data 0.001 (0.006)	Loss 2.1942 (1.9767)	Prec@1 45.500 (48.674)	Prec@5 77.500 (79.046)
Epoch: [58][690/9018]	Time 0.617 (0.639)	Data 0.001 (0.006)	Loss 2.0695 (1.9774)	Prec@1 48.500 (48.653)	Prec@5 74.500 (79.035)
Epoch: [58][700/9018]	Time 0.622 (0.639)	Data 0.001 (0.006)	Loss 2.0599 (1.9773)	Prec@1 47.500 (48.659)	Prec@5 80.500 (79.037)
Epoch: [58][710/9018]	Time 0.741 (0.639)	Data 0.001 (0.006)	Loss 2.2018 (1.9777)	Prec@1 41.500 (48.652)	Prec@5 75.500 (79.026)
Epoch: [58][720/9018]	Time 0.640 (0.639)	Data 0.001 (0.006)	Loss 2.4591 (1.9782)	Prec@1 40.500 (48.652)	Prec@5 70.000 (79.008)
Epoch: [58][730/9018]	Time 0.636 (0.639)	Data 0.016 (0.006)	Loss 1.8496 (1.9776)	Prec@1 48.000 (48.680)	Prec@5 80.000 (79.024)
Epoch: [58][740/9018]	Time 0.604 (0.639)	Data 0.001 (0.006)	Loss 1.9603 (1.9781)	Prec@1 52.000 (48.662)	Prec@5 76.500 (79.007)
Epoch: [58][750/9018]	Time 0.618 (0.639)	Data 0.001 (0.006)	Loss 1.8456 (1.9778)	Prec@1 54.500 (48.674)	Prec@5 82.500 (79.013)
Epoch: [58][760/9018]	Time 0.787 (0.639)	Data 0.001 (0.006)	Loss 1.9793 (1.9773)	Prec@1 42.500 (48.698)	Prec@5 80.500 (79.026)
Epoch: [58][770/9018]	Time 0.614 (0.638)	Data 0.001 (0.006)	Loss 1.9211 (1.9765)	Prec@1 51.500 (48.711)	Prec@5 76.500 (79.030)
Epoch: [58][780/9018]	Time 0.635 (0.639)	Data 0.001 (0.006)	Loss 2.0127 (1.9762)	Prec@1 46.000 (48.717)	Prec@5 79.000 (79.044)
Epoch: [58][790/9018]	Time 0.639 (0.638)	Data 0.001 (0.006)	Loss 1.9461 (1.9756)	Prec@1 49.500 (48.717)	Prec@5 81.500 (79.064)
Epoch: [58][800/9018]	Time 0.634 (0.638)	Data 0.001 (0.006)	Loss 1.9348 (1.9757)	Prec@1 47.000 (48.721)	Prec@5 82.500 (79.066)
Epoch: [58][810/9018]	Time 0.639 (0.639)	Data 0.003 (0.006)	Loss 1.9185 (1.9756)	Prec@1 51.500 (48.713)	Prec@5 80.000 (79.078)
Epoch: [58][820/9018]	Time 0.629 (0.638)	Data 0.010 (0.006)	Loss 2.1257 (1.9764)	Prec@1 48.000 (48.697)	Prec@5 74.000 (79.062)
Epoch: [58][830/9018]	Time 0.634 (0.638)	Data 0.001 (0.006)	Loss 2.2019 (1.9769)	Prec@1 49.500 (48.697)	Prec@5 77.500 (79.051)
Epoch: [58][840/9018]	Time 0.656 (0.638)	Data 0.004 (0.006)	Loss 2.0869 (1.9773)	Prec@1 46.000 (48.688)	Prec@5 76.500 (79.046)
Epoch: [58][850/9018]	Time 0.612 (0.638)	Data 0.001 (0.006)	Loss 2.1859 (1.9784)	Prec@1 44.500 (48.662)	Prec@5 75.000 (79.018)
Epoch: [58][860/9018]	Time 0.622 (0.638)	Data 0.001 (0.006)	Loss 1.9834 (1.9790)	Prec@1 51.000 (48.652)	Prec@5 80.500 (79.009)
Epoch: [58][870/9018]	Time 0.633 (0.638)	Data 0.008 (0.006)	Loss 1.6623 (1.9784)	Prec@1 52.000 (48.654)	Prec@5 86.500 (79.020)
Epoch: [58][880/9018]	Time 0.649 (0.638)	Data 0.001 (0.006)	Loss 2.2034 (1.9778)	Prec@1 41.000 (48.673)	Prec@5 75.000 (79.020)
Epoch: [58][890/9018]	Time 0.628 (0.638)	Data 0.001 (0.006)	Loss 1.7834 (1.9775)	Prec@1 56.000 (48.678)	Prec@5 81.500 (79.018)
Epoch: [58][900/9018]	Time 0.648 (0.638)	Data 0.001 (0.005)	Loss 2.0179 (1.9781)	Prec@1 50.500 (48.664)	Prec@5 75.000 (79.008)
Epoch: [58][910/9018]	Time 0.622 (0.638)	Data 0.001 (0.005)	Loss 1.9585 (1.9776)	Prec@1 49.000 (48.675)	Prec@5 76.500 (79.004)
Epoch: [58][920/9018]	Time 0.645 (0.638)	Data 0.001 (0.005)	Loss 1.8821 (1.9777)	Prec@1 50.500 (48.678)	Prec@5 81.500 (78.999)
Epoch: [58][930/9018]	Time 0.622 (0.638)	Data 0.001 (0.005)	Loss 1.8972 (1.9768)	Prec@1 49.500 (48.690)	Prec@5 82.500 (79.021)
Epoch: [58][940/9018]	Time 0.639 (0.638)	Data 0.001 (0.005)	Loss 2.0067 (1.9766)	Prec@1 48.500 (48.690)	Prec@5 79.000 (79.028)
Epoch: [58][950/9018]	Time 0.638 (0.638)	Data 0.001 (0.005)	Loss 1.9646 (1.9764)	Prec@1 50.500 (48.699)	Prec@5 77.500 (79.027)
Epoch: [58][960/9018]	Time 0.631 (0.638)	Data 0.001 (0.005)	Loss 2.1035 (1.9768)	Prec@1 46.000 (48.686)	Prec@5 75.000 (79.029)
Epoch: [58][970/9018]	Time 0.664 (0.638)	Data 0.001 (0.005)	Loss 1.7538 (1.9770)	Prec@1 56.000 (48.684)	Prec@5 79.500 (79.023)
Epoch: [58][980/9018]	Time 0.616 (0.638)	Data 0.001 (0.005)	Loss 1.8633 (1.9774)	Prec@1 51.500 (48.664)	Prec@5 80.500 (79.014)
Epoch: [58][990/9018]	Time 0.632 (0.638)	Data 0.001 (0.005)	Loss 1.9553 (1.9772)	Prec@1 48.000 (48.655)	Prec@5 80.000 (79.018)
Epoch: [58][1000/9018]	Time 0.603 (0.638)	Data 0.009 (0.005)	Loss 2.0304 (1.9781)	Prec@1 46.500 (48.647)	Prec@5 77.500 (79.000)
Epoch: [58][1010/9018]	Time 0.625 (0.638)	Data 0.003 (0.005)	Loss 1.7210 (1.9778)	Prec@1 54.000 (48.670)	Prec@5 82.500 (79.006)
Epoch: [58][1020/9018]	Time 0.603 (0.638)	Data 0.001 (0.005)	Loss 2.0722 (1.9780)	Prec@1 48.500 (48.665)	Prec@5 78.000 (79.007)
Epoch: [58][1030/9018]	Time 0.645 (0.638)	Data 0.008 (0.005)	Loss 2.0563 (1.9786)	Prec@1 48.500 (48.655)	Prec@5 81.000 (79.000)
Epoch: [58][1040/9018]	Time 0.761 (0.638)	Data 0.001 (0.005)	Loss 2.1123 (1.9788)	Prec@1 42.000 (48.645)	Prec@5 76.500 (78.993)
Epoch: [58][1050/9018]	Time 0.625 (0.638)	Data 0.001 (0.005)	Loss 1.8955 (1.9789)	Prec@1 51.500 (48.653)	Prec@5 81.500 (78.995)
Epoch: [58][1060/9018]	Time 0.625 (0.638)	Data 0.001 (0.005)	Loss 2.0629 (1.9792)	Prec@1 47.000 (48.642)	Prec@5 79.500 (78.992)
Epoch: [58][1070/9018]	Time 0.641 (0.638)	Data 0.001 (0.005)	Loss 2.0920 (1.9794)	Prec@1 45.500 (48.639)	Prec@5 77.000 (78.988)
Epoch: [58][1080/9018]	Time 0.639 (0.638)	Data 0.004 (0.005)	Loss 2.1352 (1.9801)	Prec@1 47.500 (48.641)	Prec@5 78.000 (78.969)
Epoch: [58][1090/9018]	Time 0.771 (0.638)	Data 0.001 (0.005)	Loss 1.8446 (1.9799)	Prec@1 49.500 (48.647)	Prec@5 79.500 (78.972)
Epoch: [58][1100/9018]	Time 0.640 (0.638)	Data 0.001 (0.005)	Loss 2.0132 (1.9801)	Prec@1 46.000 (48.646)	Prec@5 79.500 (78.966)
Epoch: [58][1110/9018]	Time 0.624 (0.638)	Data 0.016 (0.005)	Loss 1.8593 (1.9806)	Prec@1 53.500 (48.638)	Prec@5 81.000 (78.957)
Epoch: [58][1120/9018]	Time 0.618 (0.638)	Data 0.001 (0.005)	Loss 1.8552 (1.9801)	Prec@1 52.000 (48.654)	Prec@5 81.500 (78.972)
Epoch: [58][1130/9018]	Time 0.635 (0.638)	Data 0.001 (0.005)	Loss 1.8558 (1.9795)	Prec@1 54.000 (48.664)	Prec@5 82.500 (78.990)
Epoch: [58][1140/9018]	Time 0.632 (0.638)	Data 0.001 (0.005)	Loss 2.0649 (1.9796)	Prec@1 44.000 (48.659)	Prec@5 78.000 (78.987)
Epoch: [58][1150/9018]	Time 0.641 (0.638)	Data 0.001 (0.005)	Loss 1.8275 (1.9798)	Prec@1 54.000 (48.665)	Prec@5 80.000 (78.979)
Epoch: [58][1160/9018]	Time 0.625 (0.638)	Data 0.001 (0.005)	Loss 2.1274 (1.9806)	Prec@1 43.500 (48.646)	Prec@5 76.500 (78.968)
Epoch: [58][1170/9018]	Time 0.624 (0.638)	Data 0.001 (0.005)	Loss 2.0290 (1.9806)	Prec@1 47.500 (48.650)	Prec@5 79.000 (78.971)
Epoch: [58][1180/9018]	Time 0.607 (0.638)	Data 0.001 (0.005)	Loss 1.8392 (1.9805)	Prec@1 49.000 (48.652)	Prec@5 80.500 (78.975)
Epoch: [58][1190/9018]	Time 0.644 (0.638)	Data 0.010 (0.005)	Loss 2.0602 (1.9811)	Prec@1 48.500 (48.641)	Prec@5 77.500 (78.961)
Epoch: [58][1200/9018]	Time 0.635 (0.638)	Data 0.016 (0.005)	Loss 1.9692 (1.9810)	Prec@1 47.000 (48.639)	Prec@5 75.000 (78.956)
Epoch: [58][1210/9018]	Time 0.616 (0.638)	Data 0.001 (0.005)	Loss 1.9323 (1.9805)	Prec@1 49.000 (48.650)	Prec@5 78.500 (78.958)
Epoch: [58][1220/9018]	Time 0.632 (0.638)	Data 0.001 (0.005)	Loss 1.9726 (1.9811)	Prec@1 51.000 (48.642)	Prec@5 78.500 (78.952)
Epoch: [58][1230/9018]	Time 0.636 (0.638)	Data 0.001 (0.005)	Loss 2.1504 (1.9813)	Prec@1 43.000 (48.646)	Prec@5 80.500 (78.952)
Epoch: [58][1240/9018]	Time 0.627 (0.638)	Data 0.001 (0.005)	Loss 1.9334 (1.9815)	Prec@1 46.500 (48.645)	Prec@5 78.000 (78.944)
Epoch: [58][1250/9018]	Time 0.639 (0.638)	Data 0.001 (0.005)	Loss 2.0589 (1.9819)	Prec@1 47.500 (48.643)	Prec@5 77.500 (78.932)
Epoch: [58][1260/9018]	Time 0.626 (0.638)	Data 0.001 (0.005)	Loss 2.1307 (1.9820)	Prec@1 47.500 (48.639)	Prec@5 77.000 (78.929)
Epoch: [58][1270/9018]	Time 0.612 (0.638)	Data 0.001 (0.005)	Loss 2.0778 (1.9823)	Prec@1 45.500 (48.632)	Prec@5 78.500 (78.928)
Epoch: [58][1280/9018]	Time 0.627 (0.638)	Data 0.001 (0.005)	Loss 1.9779 (1.9825)	Prec@1 48.000 (48.629)	Prec@5 80.000 (78.922)
Epoch: [58][1290/9018]	Time 0.632 (0.638)	Data 0.016 (0.005)	Loss 1.8954 (1.9824)	Prec@1 54.000 (48.642)	Prec@5 78.500 (78.918)
Epoch: [58][1300/9018]	Time 0.645 (0.638)	Data 0.001 (0.005)	Loss 2.0944 (1.9828)	Prec@1 43.000 (48.632)	Prec@5 76.500 (78.908)
Epoch: [58][1310/9018]	Time 0.624 (0.638)	Data 0.001 (0.005)	Loss 2.0660 (1.9828)	Prec@1 47.000 (48.618)	Prec@5 76.500 (78.902)
Epoch: [58][1320/9018]	Time 0.644 (0.638)	Data 0.001 (0.005)	Loss 1.9123 (1.9827)	Prec@1 48.500 (48.615)	Prec@5 83.500 (78.905)
Epoch: [58][1330/9018]	Time 0.636 (0.638)	Data 0.001 (0.005)	Loss 2.2016 (1.9829)	Prec@1 47.500 (48.603)	Prec@5 76.000 (78.894)
Epoch: [58][1340/9018]	Time 0.629 (0.638)	Data 0.001 (0.005)	Loss 2.0154 (1.9830)	Prec@1 48.000 (48.603)	Prec@5 80.000 (78.893)
Epoch: [58][1350/9018]	Time 0.637 (0.638)	Data 0.014 (0.005)	Loss 1.9609 (1.9831)	Prec@1 42.000 (48.604)	Prec@5 78.000 (78.892)
Epoch: [58][1360/9018]	Time 0.648 (0.638)	Data 0.001 (0.005)	Loss 1.7888 (1.9828)	Prec@1 53.500 (48.614)	Prec@5 83.500 (78.899)
Epoch: [58][1370/9018]	Time 0.768 (0.638)	Data 0.001 (0.005)	Loss 2.0589 (1.9832)	Prec@1 50.500 (48.611)	Prec@5 78.500 (78.889)
Epoch: [58][1380/9018]	Time 0.617 (0.638)	Data 0.001 (0.005)	Loss 1.8482 (1.9831)	Prec@1 52.500 (48.617)	Prec@5 78.500 (78.891)
Epoch: [58][1390/9018]	Time 0.627 (0.638)	Data 0.005 (0.005)	Loss 1.9699 (1.9835)	Prec@1 48.500 (48.605)	Prec@5 78.000 (78.891)
Epoch: [58][1400/9018]	Time 0.637 (0.638)	Data 0.013 (0.005)	Loss 1.9598 (1.9836)	Prec@1 50.000 (48.611)	Prec@5 78.500 (78.884)
Epoch: [58][1410/9018]	Time 0.624 (0.637)	Data 0.001 (0.005)	Loss 2.1436 (1.9836)	Prec@1 43.000 (48.613)	Prec@5 75.000 (78.883)
Epoch: [58][1420/9018]	Time 0.792 (0.638)	Data 0.001 (0.004)	Loss 2.0677 (1.9845)	Prec@1 46.500 (48.600)	Prec@5 76.000 (78.871)
Epoch: [58][1430/9018]	Time 0.613 (0.637)	Data 0.001 (0.004)	Loss 1.8346 (1.9844)	Prec@1 55.000 (48.610)	Prec@5 79.500 (78.870)
Epoch: [58][1440/9018]	Time 0.619 (0.637)	Data 0.001 (0.004)	Loss 1.8409 (1.9845)	Prec@1 47.000 (48.607)	Prec@5 81.000 (78.867)
Epoch: [58][1450/9018]	Time 0.627 (0.637)	Data 0.001 (0.004)	Loss 1.9965 (1.9847)	Prec@1 47.500 (48.596)	Prec@5 78.500 (78.865)
Epoch: [58][1460/9018]	Time 0.634 (0.637)	Data 0.001 (0.004)	Loss 1.9565 (1.9845)	Prec@1 48.500 (48.590)	Prec@5 79.500 (78.871)
Epoch: [58][1470/9018]	Time 0.620 (0.637)	Data 0.002 (0.004)	Loss 1.9936 (1.9846)	Prec@1 45.500 (48.584)	Prec@5 81.500 (78.874)
Epoch: [58][1480/9018]	Time 0.624 (0.637)	Data 0.001 (0.004)	Loss 1.9775 (1.9848)	Prec@1 47.000 (48.586)	Prec@5 79.000 (78.870)
Epoch: [58][1490/9018]	Time 0.616 (0.637)	Data 0.001 (0.004)	Loss 2.0695 (1.9846)	Prec@1 46.000 (48.585)	Prec@5 76.000 (78.871)
Epoch: [58][1500/9018]	Time 0.626 (0.637)	Data 0.001 (0.004)	Loss 2.0234 (1.9848)	Prec@1 46.500 (48.579)	Prec@5 77.500 (78.871)
Epoch: [58][1510/9018]	Time 0.610 (0.637)	Data 0.004 (0.004)	Loss 2.0621 (1.9853)	Prec@1 48.500 (48.579)	Prec@5 77.500 (78.860)
Epoch: [58][1520/9018]	Time 0.613 (0.637)	Data 0.001 (0.004)	Loss 1.9922 (1.9850)	Prec@1 49.500 (48.583)	Prec@5 78.500 (78.867)
Epoch: [58][1530/9018]	Time 0.642 (0.637)	Data 0.001 (0.004)	Loss 2.2764 (1.9848)	Prec@1 43.500 (48.597)	Prec@5 73.000 (78.873)
Epoch: [58][1540/9018]	Time 0.622 (0.637)	Data 0.006 (0.004)	Loss 2.1983 (1.9846)	Prec@1 43.500 (48.597)	Prec@5 74.500 (78.875)
Epoch: [58][1550/9018]	Time 0.624 (0.637)	Data 0.001 (0.004)	Loss 2.0947 (1.9847)	Prec@1 46.500 (48.597)	Prec@5 78.500 (78.873)
Epoch: [58][1560/9018]	Time 0.644 (0.637)	Data 0.001 (0.004)	Loss 2.0082 (1.9846)	Prec@1 46.500 (48.599)	Prec@5 73.500 (78.873)
Epoch: [58][1570/9018]	Time 0.621 (0.637)	Data 0.001 (0.004)	Loss 2.0027 (1.9848)	Prec@1 49.500 (48.599)	Prec@5 74.000 (78.865)
Epoch: [58][1580/9018]	Time 0.624 (0.637)	Data 0.001 (0.004)	Loss 1.9936 (1.9851)	Prec@1 51.000 (48.597)	Prec@5 78.000 (78.861)
Epoch: [58][1590/9018]	Time 0.619 (0.637)	Data 0.001 (0.004)	Loss 1.9776 (1.9845)	Prec@1 49.500 (48.613)	Prec@5 80.000 (78.867)
Epoch: [58][1600/9018]	Time 0.600 (0.637)	Data 0.001 (0.004)	Loss 2.0550 (1.9847)	Prec@1 46.000 (48.611)	Prec@5 78.000 (78.865)
Epoch: [58][1610/9018]	Time 0.616 (0.637)	Data 0.001 (0.004)	Loss 2.1109 (1.9850)	Prec@1 41.500 (48.605)	Prec@5 77.000 (78.860)
Epoch: [58][1620/9018]	Time 0.603 (0.637)	Data 0.001 (0.004)	Loss 1.9127 (1.9853)	Prec@1 49.500 (48.604)	Prec@5 81.500 (78.859)
Epoch: [58][1630/9018]	Time 0.621 (0.637)	Data 0.001 (0.004)	Loss 1.9557 (1.9856)	Prec@1 49.500 (48.594)	Prec@5 79.500 (78.857)
Epoch: [58][1640/9018]	Time 0.648 (0.637)	Data 0.001 (0.004)	Loss 1.9792 (1.9857)	Prec@1 50.500 (48.592)	Prec@5 77.000 (78.856)
Epoch: [58][1650/9018]	Time 0.786 (0.637)	Data 0.001 (0.004)	Loss 2.0512 (1.9860)	Prec@1 46.000 (48.584)	Prec@5 81.000 (78.847)
Epoch: [58][1660/9018]	Time 0.614 (0.637)	Data 0.001 (0.004)	Loss 2.0005 (1.9860)	Prec@1 44.500 (48.567)	Prec@5 79.500 (78.842)
Epoch: [58][1670/9018]	Time 0.618 (0.637)	Data 0.001 (0.004)	Loss 2.0905 (1.9861)	Prec@1 44.500 (48.562)	Prec@5 76.000 (78.845)
Epoch: [58][1680/9018]	Time 0.630 (0.637)	Data 0.001 (0.004)	Loss 2.0210 (1.9863)	Prec@1 48.500 (48.554)	Prec@5 80.000 (78.845)
Epoch: [58][1690/9018]	Time 0.619 (0.637)	Data 0.013 (0.004)	Loss 2.2938 (1.9867)	Prec@1 44.000 (48.543)	Prec@5 71.000 (78.838)
Epoch: [58][1700/9018]	Time 0.741 (0.637)	Data 0.001 (0.004)	Loss 1.8701 (1.9868)	Prec@1 55.000 (48.542)	Prec@5 80.500 (78.838)
Epoch: [58][1710/9018]	Time 0.662 (0.637)	Data 0.001 (0.004)	Loss 2.0055 (1.9867)	Prec@1 45.000 (48.537)	Prec@5 80.000 (78.838)
Epoch: [58][1720/9018]	Time 0.598 (0.637)	Data 0.001 (0.004)	Loss 1.9945 (1.9867)	Prec@1 47.500 (48.534)	Prec@5 76.500 (78.840)
Epoch: [58][1730/9018]	Time 0.638 (0.637)	Data 0.001 (0.004)	Loss 1.9949 (1.9865)	Prec@1 49.500 (48.534)	Prec@5 75.000 (78.840)
Epoch: [58][1740/9018]	Time 0.622 (0.637)	Data 0.001 (0.004)	Loss 2.1481 (1.9867)	Prec@1 48.000 (48.533)	Prec@5 73.000 (78.837)
Epoch: [58][1750/9018]	Time 0.626 (0.637)	Data 0.001 (0.004)	Loss 2.0009 (1.9866)	Prec@1 49.500 (48.539)	Prec@5 78.500 (78.845)
Epoch: [58][1760/9018]	Time 0.602 (0.637)	Data 0.001 (0.004)	Loss 1.8721 (1.9864)	Prec@1 53.500 (48.543)	Prec@5 78.000 (78.840)
Epoch: [58][1770/9018]	Time 0.628 (0.637)	Data 0.001 (0.004)	Loss 2.1348 (1.9867)	Prec@1 44.500 (48.533)	Prec@5 74.500 (78.829)
Epoch: [58][1780/9018]	Time 0.624 (0.637)	Data 0.014 (0.004)	Loss 1.8930 (1.9867)	Prec@1 50.000 (48.533)	Prec@5 82.500 (78.828)
Epoch: [58][1790/9018]	Time 0.622 (0.637)	Data 0.001 (0.004)	Loss 1.8712 (1.9865)	Prec@1 52.500 (48.542)	Prec@5 82.500 (78.833)
Epoch: [58][1800/9018]	Time 0.620 (0.637)	Data 0.001 (0.004)	Loss 1.9211 (1.9867)	Prec@1 47.000 (48.538)	Prec@5 79.000 (78.827)
Epoch: [58][1810/9018]	Time 0.618 (0.637)	Data 0.001 (0.004)	Loss 2.0142 (1.9871)	Prec@1 45.000 (48.530)	Prec@5 78.000 (78.814)
Epoch: [58][1820/9018]	Time 0.633 (0.637)	Data 0.001 (0.004)	Loss 1.8197 (1.9869)	Prec@1 54.000 (48.526)	Prec@5 83.500 (78.821)
Epoch: [58][1830/9018]	Time 0.650 (0.637)	Data 0.001 (0.004)	Loss 1.7901 (1.9868)	Prec@1 55.500 (48.537)	Prec@5 82.000 (78.826)
Epoch: [58][1840/9018]	Time 0.619 (0.637)	Data 0.001 (0.004)	Loss 2.1513 (1.9867)	Prec@1 42.500 (48.535)	Prec@5 77.000 (78.829)
Epoch: [58][1850/9018]	Time 0.621 (0.637)	Data 0.001 (0.004)	Loss 2.0104 (1.9871)	Prec@1 47.500 (48.526)	Prec@5 78.000 (78.821)
Epoch: [58][1860/9018]	Time 0.627 (0.637)	Data 0.001 (0.004)	Loss 2.0970 (1.9873)	Prec@1 48.000 (48.520)	Prec@5 77.500 (78.815)
Epoch: [58][1870/9018]	Time 0.620 (0.637)	Data 0.001 (0.004)	Loss 1.9567 (1.9876)	Prec@1 51.000 (48.509)	Prec@5 80.000 (78.800)
Epoch: [58][1880/9018]	Time 0.625 (0.637)	Data 0.001 (0.004)	Loss 1.9628 (1.9878)	Prec@1 44.000 (48.504)	Prec@5 79.500 (78.796)
Epoch: [58][1890/9018]	Time 0.641 (0.637)	Data 0.001 (0.004)	Loss 1.8556 (1.9877)	Prec@1 48.500 (48.501)	Prec@5 84.500 (78.801)
Epoch: [58][1900/9018]	Time 0.630 (0.637)	Data 0.001 (0.004)	Loss 2.1904 (1.9877)	Prec@1 46.000 (48.502)	Prec@5 75.000 (78.799)
Epoch: [58][1910/9018]	Time 0.609 (0.637)	Data 0.001 (0.004)	Loss 1.8698 (1.9873)	Prec@1 50.500 (48.513)	Prec@5 79.000 (78.806)
Epoch: [58][1920/9018]	Time 0.628 (0.637)	Data 0.001 (0.004)	Loss 1.9171 (1.9872)	Prec@1 51.000 (48.517)	Prec@5 78.500 (78.810)
Epoch: [58][1930/9018]	Time 0.614 (0.637)	Data 0.001 (0.004)	Loss 2.1858 (1.9876)	Prec@1 44.500 (48.509)	Prec@5 77.000 (78.806)
Epoch: [58][1940/9018]	Time 0.612 (0.637)	Data 0.001 (0.004)	Loss 1.8399 (1.9874)	Prec@1 51.000 (48.505)	Prec@5 81.500 (78.810)
Epoch: [58][1950/9018]	Time 0.618 (0.637)	Data 0.001 (0.004)	Loss 2.0529 (1.9878)	Prec@1 47.000 (48.494)	Prec@5 77.500 (78.807)
Epoch: [58][1960/9018]	Time 0.653 (0.637)	Data 0.001 (0.004)	Loss 1.7745 (1.9875)	Prec@1 54.000 (48.497)	Prec@5 83.500 (78.815)
Epoch: [58][1970/9018]	Time 0.633 (0.637)	Data 0.003 (0.004)	Loss 1.9713 (1.9876)	Prec@1 48.000 (48.498)	Prec@5 78.000 (78.815)
Epoch: [58][1980/9018]	Time 0.758 (0.637)	Data 0.001 (0.004)	Loss 1.8211 (1.9876)	Prec@1 51.000 (48.499)	Prec@5 84.500 (78.816)
Epoch: [58][1990/9018]	Time 0.615 (0.637)	Data 0.001 (0.004)	Loss 2.0518 (1.9881)	Prec@1 47.000 (48.491)	Prec@5 77.500 (78.805)
Epoch: [58][2000/9018]	Time 0.631 (0.637)	Data 0.001 (0.004)	Loss 2.0966 (1.9881)	Prec@1 47.500 (48.503)	Prec@5 78.000 (78.806)
Epoch: [58][2010/9018]	Time 0.649 (0.637)	Data 0.001 (0.004)	Loss 1.7903 (1.9879)	Prec@1 50.500 (48.506)	Prec@5 85.000 (78.814)
Epoch: [58][2020/9018]	Time 0.645 (0.637)	Data 0.015 (0.004)	Loss 1.9714 (1.9878)	Prec@1 47.500 (48.504)	Prec@5 80.000 (78.815)
Epoch: [58][2030/9018]	Time 0.766 (0.637)	Data 0.001 (0.004)	Loss 1.9505 (1.9880)	Prec@1 46.500 (48.494)	Prec@5 82.000 (78.811)
Epoch: [58][2040/9018]	Time 0.631 (0.637)	Data 0.001 (0.004)	Loss 2.1692 (1.9881)	Prec@1 44.500 (48.495)	Prec@5 74.500 (78.808)
Epoch: [58][2050/9018]	Time 0.631 (0.637)	Data 0.001 (0.004)	Loss 2.0191 (1.9879)	Prec@1 49.000 (48.497)	Prec@5 76.500 (78.809)
Epoch: [58][2060/9018]	Time 0.633 (0.637)	Data 0.001 (0.004)	Loss 2.0602 (1.9880)	Prec@1 46.500 (48.495)	Prec@5 78.500 (78.807)
Epoch: [58][2070/9018]	Time 0.622 (0.637)	Data 0.001 (0.004)	Loss 2.0553 (1.9883)	Prec@1 47.000 (48.489)	Prec@5 80.500 (78.802)
Epoch: [58][2080/9018]	Time 0.624 (0.637)	Data 0.001 (0.004)	Loss 2.4827 (1.9886)	Prec@1 38.000 (48.481)	Prec@5 67.000 (78.794)
Epoch: [58][2090/9018]	Time 0.625 (0.637)	Data 0.004 (0.004)	Loss 2.1870 (1.9891)	Prec@1 46.000 (48.472)	Prec@5 75.500 (78.786)
Epoch: [58][2100/9018]	Time 0.608 (0.637)	Data 0.001 (0.004)	Loss 2.1332 (1.9887)	Prec@1 42.500 (48.478)	Prec@5 77.000 (78.789)
Epoch: [58][2110/9018]	Time 0.614 (0.637)	Data 0.001 (0.004)	Loss 1.9615 (1.9892)	Prec@1 52.000 (48.475)	Prec@5 79.500 (78.781)
Epoch: [58][2120/9018]	Time 0.625 (0.637)	Data 0.015 (0.004)	Loss 1.9123 (1.9893)	Prec@1 53.000 (48.477)	Prec@5 81.000 (78.779)
Epoch: [58][2130/9018]	Time 0.624 (0.637)	Data 0.001 (0.004)	Loss 2.0493 (1.9893)	Prec@1 48.000 (48.480)	Prec@5 76.500 (78.775)
Epoch: [58][2140/9018]	Time 0.634 (0.637)	Data 0.001 (0.004)	Loss 1.9123 (1.9893)	Prec@1 53.500 (48.475)	Prec@5 80.000 (78.774)
Epoch: [58][2150/9018]	Time 0.632 (0.637)	Data 0.015 (0.004)	Loss 2.1129 (1.9892)	Prec@1 41.500 (48.477)	Prec@5 80.000 (78.776)
Epoch: [58][2160/9018]	Time 0.619 (0.637)	Data 0.001 (0.004)	Loss 2.1605 (1.9891)	Prec@1 45.500 (48.473)	Prec@5 76.000 (78.777)
Epoch: [58][2170/9018]	Time 0.623 (0.637)	Data 0.001 (0.004)	Loss 1.8087 (1.9891)	Prec@1 52.500 (48.477)	Prec@5 82.000 (78.781)
Epoch: [58][2180/9018]	Time 0.642 (0.637)	Data 0.001 (0.004)	Loss 2.1856 (1.9890)	Prec@1 45.000 (48.486)	Prec@5 74.500 (78.779)
Epoch: [58][2190/9018]	Time 0.628 (0.637)	Data 0.012 (0.004)	Loss 2.2008 (1.9891)	Prec@1 45.500 (48.478)	Prec@5 72.500 (78.777)
Epoch: [58][2200/9018]	Time 0.622 (0.637)	Data 0.017 (0.004)	Loss 1.8198 (1.9892)	Prec@1 53.000 (48.475)	Prec@5 83.000 (78.778)
Epoch: [58][2210/9018]	Time 0.657 (0.637)	Data 0.015 (0.004)	Loss 2.2866 (1.9893)	Prec@1 41.500 (48.474)	Prec@5 72.500 (78.775)
Epoch: [58][2220/9018]	Time 0.611 (0.637)	Data 0.001 (0.004)	Loss 1.8480 (1.9893)	Prec@1 50.500 (48.471)	Prec@5 81.000 (78.776)
Epoch: [58][2230/9018]	Time 0.645 (0.637)	Data 0.001 (0.004)	Loss 1.9152 (1.9891)	Prec@1 48.000 (48.474)	Prec@5 82.000 (78.780)
Epoch: [58][2240/9018]	Time 0.642 (0.637)	Data 0.001 (0.004)	Loss 1.9333 (1.9889)	Prec@1 46.500 (48.485)	Prec@5 81.000 (78.786)
Epoch: [58][2250/9018]	Time 0.628 (0.637)	Data 0.001 (0.004)	Loss 2.1136 (1.9891)	Prec@1 44.000 (48.480)	Prec@5 75.500 (78.782)
Epoch: [58][2260/9018]	Time 0.628 (0.637)	Data 0.001 (0.004)	Loss 2.1680 (1.9893)	Prec@1 43.500 (48.481)	Prec@5 73.000 (78.775)
Epoch: [58][2270/9018]	Time 0.605 (0.637)	Data 0.001 (0.004)	Loss 1.9414 (1.9894)	Prec@1 50.000 (48.480)	Prec@5 77.500 (78.768)
Epoch: [58][2280/9018]	Time 0.627 (0.637)	Data 0.001 (0.004)	Loss 2.0345 (1.9895)	Prec@1 45.500 (48.475)	Prec@5 79.500 (78.767)
Epoch: [58][2290/9018]	Time 0.634 (0.637)	Data 0.001 (0.004)	Loss 2.2011 (1.9900)	Prec@1 42.500 (48.460)	Prec@5 77.000 (78.763)
Epoch: [58][2300/9018]	Time 0.616 (0.637)	Data 0.001 (0.004)	Loss 1.8753 (1.9904)	Prec@1 51.000 (48.449)	Prec@5 78.500 (78.759)
Epoch: [58][2310/9018]	Time 0.804 (0.637)	Data 0.001 (0.004)	Loss 2.0512 (1.9905)	Prec@1 47.000 (48.448)	Prec@5 77.000 (78.757)
Epoch: [58][2320/9018]	Time 0.626 (0.637)	Data 0.001 (0.004)	Loss 1.9790 (1.9907)	Prec@1 49.500 (48.445)	Prec@5 80.500 (78.757)
Epoch: [58][2330/9018]	Time 0.630 (0.637)	Data 0.001 (0.004)	Loss 1.9593 (1.9907)	Prec@1 48.500 (48.442)	Prec@5 78.000 (78.759)
Epoch: [58][2340/9018]	Time 0.621 (0.637)	Data 0.001 (0.004)	Loss 2.0371 (1.9907)	Prec@1 47.500 (48.445)	Prec@5 78.000 (78.758)
Epoch: [58][2350/9018]	Time 0.614 (0.637)	Data 0.001 (0.004)	Loss 2.1155 (1.9908)	Prec@1 43.500 (48.442)	Prec@5 75.500 (78.757)
Epoch: [58][2360/9018]	Time 0.750 (0.637)	Data 0.003 (0.004)	Loss 1.9754 (1.9909)	Prec@1 46.000 (48.442)	Prec@5 80.500 (78.758)
Epoch: [58][2370/9018]	Time 0.628 (0.637)	Data 0.001 (0.004)	Loss 2.0261 (1.9909)	Prec@1 48.000 (48.435)	Prec@5 75.500 (78.755)
Epoch: [58][2380/9018]	Time 0.643 (0.637)	Data 0.001 (0.004)	Loss 1.7560 (1.9907)	Prec@1 53.500 (48.441)	Prec@5 82.500 (78.756)
Epoch: [58][2390/9018]	Time 0.639 (0.637)	Data 0.015 (0.004)	Loss 1.9411 (1.9907)	Prec@1 50.500 (48.441)	Prec@5 76.500 (78.756)
Epoch: [58][2400/9018]	Time 0.653 (0.637)	Data 0.001 (0.004)	Loss 2.0526 (1.9908)	Prec@1 46.500 (48.429)	Prec@5 77.000 (78.752)
Epoch: [58][2410/9018]	Time 0.618 (0.637)	Data 0.001 (0.004)	Loss 1.9460 (1.9910)	Prec@1 47.500 (48.420)	Prec@5 77.500 (78.750)
Epoch: [58][2420/9018]	Time 0.651 (0.637)	Data 0.001 (0.004)	Loss 1.9118 (1.9912)	Prec@1 49.500 (48.414)	Prec@5 80.000 (78.751)
Epoch: [58][2430/9018]	Time 0.613 (0.637)	Data 0.001 (0.004)	Loss 2.0398 (1.9912)	Prec@1 46.000 (48.406)	Prec@5 77.000 (78.751)
Epoch: [58][2440/9018]	Time 0.633 (0.637)	Data 0.001 (0.004)	Loss 1.9160 (1.9911)	Prec@1 50.500 (48.408)	Prec@5 79.000 (78.750)
Epoch: [58][2450/9018]	Time 0.654 (0.637)	Data 0.001 (0.004)	Loss 2.0870 (1.9910)	Prec@1 46.000 (48.408)	Prec@5 77.500 (78.753)
Epoch: [58][2460/9018]	Time 0.627 (0.637)	Data 0.001 (0.004)	Loss 2.0016 (1.9914)	Prec@1 48.500 (48.398)	Prec@5 78.500 (78.748)
Epoch: [58][2470/9018]	Time 0.635 (0.637)	Data 0.001 (0.004)	Loss 1.9482 (1.9912)	Prec@1 52.500 (48.406)	Prec@5 78.000 (78.752)
Epoch: [58][2480/9018]	Time 0.638 (0.637)	Data 0.001 (0.004)	Loss 2.0475 (1.9913)	Prec@1 50.500 (48.404)	Prec@5 78.500 (78.755)
Epoch: [58][2490/9018]	Time 0.612 (0.637)	Data 0.001 (0.004)	Loss 1.9721 (1.9917)	Prec@1 49.000 (48.397)	Prec@5 76.500 (78.743)
Epoch: [58][2500/9018]	Time 0.603 (0.637)	Data 0.001 (0.004)	Loss 1.9933 (1.9917)	Prec@1 48.000 (48.398)	Prec@5 81.000 (78.747)
Epoch: [58][2510/9018]	Time 0.620 (0.637)	Data 0.001 (0.004)	Loss 2.0503 (1.9916)	Prec@1 49.500 (48.403)	Prec@5 79.500 (78.747)
Epoch: [58][2520/9018]	Time 0.624 (0.637)	Data 0.001 (0.004)	Loss 2.0756 (1.9913)	Prec@1 44.000 (48.404)	Prec@5 78.500 (78.755)
Epoch: [58][2530/9018]	Time 0.632 (0.637)	Data 0.001 (0.004)	Loss 1.8837 (1.9910)	Prec@1 49.500 (48.411)	Prec@5 83.000 (78.761)
Epoch: [58][2540/9018]	Time 0.641 (0.637)	Data 0.001 (0.004)	Loss 2.0468 (1.9913)	Prec@1 43.000 (48.405)	Prec@5 76.500 (78.760)
Epoch: [58][2550/9018]	Time 0.618 (0.637)	Data 0.001 (0.004)	Loss 1.9772 (1.9914)	Prec@1 46.500 (48.400)	Prec@5 76.000 (78.758)
Epoch: [58][2560/9018]	Time 0.616 (0.637)	Data 0.014 (0.004)	Loss 2.0318 (1.9915)	Prec@1 47.500 (48.397)	Prec@5 77.000 (78.752)
Epoch: [58][2570/9018]	Time 0.635 (0.637)	Data 0.001 (0.004)	Loss 2.1523 (1.9916)	Prec@1 45.500 (48.399)	Prec@5 80.000 (78.751)
Epoch: [58][2580/9018]	Time 0.623 (0.637)	Data 0.001 (0.004)	Loss 2.1125 (1.9919)	Prec@1 46.000 (48.393)	Prec@5 79.000 (78.746)
Epoch: [58][2590/9018]	Time 0.630 (0.637)	Data 0.001 (0.004)	Loss 1.9133 (1.9921)	Prec@1 51.500 (48.389)	Prec@5 78.000 (78.743)
Epoch: [58][2600/9018]	Time 0.651 (0.637)	Data 0.001 (0.004)	Loss 2.0876 (1.9922)	Prec@1 40.500 (48.386)	Prec@5 75.000 (78.740)
Epoch: [58][2610/9018]	Time 0.630 (0.637)	Data 0.001 (0.004)	Loss 2.1087 (1.9924)	Prec@1 45.500 (48.381)	Prec@5 79.000 (78.734)
Epoch: [58][2620/9018]	Time 0.632 (0.637)	Data 0.001 (0.004)	Loss 1.7970 (1.9925)	Prec@1 52.000 (48.377)	Prec@5 81.500 (78.733)
Epoch: [58][2630/9018]	Time 0.632 (0.637)	Data 0.001 (0.004)	Loss 1.9529 (1.9923)	Prec@1 46.000 (48.378)	Prec@5 77.500 (78.735)
Epoch: [58][2640/9018]	Time 0.805 (0.637)	Data 0.001 (0.004)	Loss 2.0765 (1.9923)	Prec@1 49.000 (48.381)	Prec@5 78.000 (78.733)
Epoch: [58][2650/9018]	Time 0.615 (0.637)	Data 0.001 (0.004)	Loss 1.8375 (1.9923)	Prec@1 53.000 (48.383)	Prec@5 83.500 (78.733)
Epoch: [58][2660/9018]	Time 0.621 (0.637)	Data 0.001 (0.004)	Loss 1.9714 (1.9923)	Prec@1 49.000 (48.388)	Prec@5 81.500 (78.737)
Epoch: [58][2670/9018]	Time 0.610 (0.637)	Data 0.001 (0.004)	Loss 2.0091 (1.9924)	Prec@1 47.000 (48.388)	Prec@5 78.000 (78.735)
Epoch: [58][2680/9018]	Time 0.642 (0.637)	Data 0.001 (0.004)	Loss 2.0073 (1.9926)	Prec@1 49.500 (48.389)	Prec@5 80.500 (78.730)
Epoch: [58][2690/9018]	Time 0.764 (0.637)	Data 0.001 (0.004)	Loss 2.0005 (1.9926)	Prec@1 49.000 (48.395)	Prec@5 76.000 (78.729)
Epoch: [58][2700/9018]	Time 0.636 (0.637)	Data 0.001 (0.004)	Loss 1.9428 (1.9925)	Prec@1 45.500 (48.396)	Prec@5 81.000 (78.729)
Epoch: [58][2710/9018]	Time 0.628 (0.637)	Data 0.001 (0.004)	Loss 1.8912 (1.9924)	Prec@1 50.000 (48.391)	Prec@5 80.500 (78.733)
Epoch: [58][2720/9018]	Time 0.617 (0.637)	Data 0.001 (0.004)	Loss 1.9688 (1.9926)	Prec@1 49.000 (48.392)	Prec@5 78.500 (78.729)
Epoch: [58][2730/9018]	Time 0.634 (0.637)	Data 0.001 (0.004)	Loss 1.9481 (1.9925)	Prec@1 49.500 (48.397)	Prec@5 82.500 (78.733)
Epoch: [58][2740/9018]	Time 0.609 (0.637)	Data 0.001 (0.004)	Loss 2.4392 (1.9928)	Prec@1 40.500 (48.389)	Prec@5 71.500 (78.728)
Epoch: [58][2750/9018]	Time 0.597 (0.637)	Data 0.001 (0.004)	Loss 2.0595 (1.9929)	Prec@1 47.500 (48.386)	Prec@5 76.500 (78.727)
Epoch: [58][2760/9018]	Time 0.624 (0.637)	Data 0.001 (0.004)	Loss 2.1667 (1.9930)	Prec@1 45.000 (48.384)	Prec@5 74.500 (78.724)
Epoch: [58][2770/9018]	Time 0.624 (0.637)	Data 0.001 (0.004)	Loss 2.1582 (1.9931)	Prec@1 42.000 (48.377)	Prec@5 77.500 (78.723)
Epoch: [58][2780/9018]	Time 0.636 (0.637)	Data 0.001 (0.004)	Loss 1.9448 (1.9932)	Prec@1 48.500 (48.375)	Prec@5 79.000 (78.720)
Epoch: [58][2790/9018]	Time 0.644 (0.637)	Data 0.001 (0.004)	Loss 1.9770 (1.9933)	Prec@1 45.500 (48.375)	Prec@5 79.000 (78.719)
Epoch: [58][2800/9018]	Time 0.628 (0.637)	Data 0.001 (0.004)	Loss 1.9514 (1.9933)	Prec@1 51.000 (48.376)	Prec@5 79.500 (78.715)
Epoch: [58][2810/9018]	Time 0.632 (0.637)	Data 0.007 (0.004)	Loss 2.0497 (1.9932)	Prec@1 49.000 (48.383)	Prec@5 77.500 (78.715)
Epoch: [58][2820/9018]	Time 0.648 (0.637)	Data 0.001 (0.004)	Loss 1.9760 (1.9933)	Prec@1 44.500 (48.380)	Prec@5 76.500 (78.713)
Epoch: [58][2830/9018]	Time 0.610 (0.637)	Data 0.001 (0.004)	Loss 1.9218 (1.9933)	Prec@1 47.000 (48.379)	Prec@5 82.000 (78.716)
Epoch: [58][2840/9018]	Time 0.609 (0.637)	Data 0.001 (0.004)	Loss 2.0659 (1.9931)	Prec@1 48.500 (48.383)	Prec@5 76.000 (78.717)
Epoch: [58][2850/9018]	Time 0.602 (0.637)	Data 0.016 (0.004)	Loss 2.1091 (1.9931)	Prec@1 45.500 (48.383)	Prec@5 76.000 (78.719)
Epoch: [58][2860/9018]	Time 0.620 (0.637)	Data 0.001 (0.004)	Loss 1.9355 (1.9931)	Prec@1 52.000 (48.382)	Prec@5 82.000 (78.717)
Epoch: [58][2870/9018]	Time 0.629 (0.637)	Data 0.014 (0.004)	Loss 1.8114 (1.9929)	Prec@1 52.500 (48.389)	Prec@5 83.000 (78.718)
Epoch: [58][2880/9018]	Time 0.635 (0.637)	Data 0.001 (0.004)	Loss 1.9998 (1.9928)	Prec@1 47.500 (48.393)	Prec@5 80.000 (78.721)
Epoch: [58][2890/9018]	Time 0.662 (0.637)	Data 0.013 (0.004)	Loss 2.1141 (1.9928)	Prec@1 47.000 (48.393)	Prec@5 76.500 (78.718)
Epoch: [58][2900/9018]	Time 0.610 (0.637)	Data 0.001 (0.004)	Loss 2.1193 (1.9930)	Prec@1 45.500 (48.390)	Prec@5 78.000 (78.713)
Epoch: [58][2910/9018]	Time 0.626 (0.637)	Data 0.001 (0.004)	Loss 2.0458 (1.9932)	Prec@1 50.000 (48.384)	Prec@5 76.000 (78.708)
Epoch: [58][2920/9018]	Time 0.598 (0.637)	Data 0.001 (0.004)	Loss 1.9701 (1.9933)	Prec@1 46.000 (48.379)	Prec@5 78.000 (78.707)
Epoch: [58][2930/9018]	Time 0.632 (0.637)	Data 0.001 (0.004)	Loss 1.8829 (1.9932)	Prec@1 49.500 (48.381)	Prec@5 81.000 (78.705)
Epoch: [58][2940/9018]	Time 0.660 (0.637)	Data 0.001 (0.004)	Loss 2.0019 (1.9932)	Prec@1 49.000 (48.381)	Prec@5 80.500 (78.704)
Epoch: [58][2950/9018]	Time 0.615 (0.637)	Data 0.001 (0.004)	Loss 2.0232 (1.9931)	Prec@1 45.500 (48.384)	Prec@5 77.500 (78.703)
Epoch: [58][2960/9018]	Time 0.631 (0.637)	Data 0.016 (0.004)	Loss 2.0439 (1.9932)	Prec@1 45.500 (48.383)	Prec@5 83.500 (78.704)
Epoch: [58][2970/9018]	Time 0.772 (0.637)	Data 0.001 (0.004)	Loss 1.9589 (1.9933)	Prec@1 49.500 (48.383)	Prec@5 76.500 (78.704)
Epoch: [58][2980/9018]	Time 0.654 (0.637)	Data 0.001 (0.004)	Loss 2.0357 (1.9934)	Prec@1 47.000 (48.382)	Prec@5 80.000 (78.704)
Epoch: [58][2990/9018]	Time 0.604 (0.637)	Data 0.001 (0.004)	Loss 1.7474 (1.9934)	Prec@1 55.000 (48.385)	Prec@5 82.500 (78.705)
Epoch: [58][3000/9018]	Time 0.625 (0.637)	Data 0.001 (0.004)	Loss 2.1415 (1.9935)	Prec@1 44.500 (48.378)	Prec@5 76.000 (78.704)
Epoch: [58][3010/9018]	Time 0.621 (0.637)	Data 0.013 (0.004)	Loss 2.1438 (1.9936)	Prec@1 44.000 (48.375)	Prec@5 77.000 (78.702)
Epoch: [58][3020/9018]	Time 0.758 (0.637)	Data 0.001 (0.004)	Loss 2.0385 (1.9937)	Prec@1 50.000 (48.376)	Prec@5 77.000 (78.702)
Epoch: [58][3030/9018]	Time 0.627 (0.637)	Data 0.001 (0.004)	Loss 1.8560 (1.9937)	Prec@1 44.500 (48.373)	Prec@5 79.500 (78.701)
Epoch: [58][3040/9018]	Time 0.618 (0.637)	Data 0.001 (0.004)	Loss 2.1265 (1.9936)	Prec@1 51.000 (48.376)	Prec@5 76.000 (78.703)
Epoch: [58][3050/9018]	Time 0.608 (0.637)	Data 0.001 (0.004)	Loss 1.8844 (1.9933)	Prec@1 48.500 (48.381)	Prec@5 82.000 (78.707)
Epoch: [58][3060/9018]	Time 0.622 (0.637)	Data 0.016 (0.004)	Loss 1.9718 (1.9933)	Prec@1 48.000 (48.377)	Prec@5 79.000 (78.709)
Epoch: [58][3070/9018]	Time 0.621 (0.637)	Data 0.001 (0.004)	Loss 1.9581 (1.9933)	Prec@1 48.000 (48.377)	Prec@5 82.000 (78.709)
Epoch: [58][3080/9018]	Time 0.627 (0.637)	Data 0.001 (0.004)	Loss 2.0524 (1.9933)	Prec@1 47.000 (48.373)	Prec@5 78.000 (78.707)
Epoch: [58][3090/9018]	Time 0.638 (0.637)	Data 0.001 (0.004)	Loss 2.0436 (1.9935)	Prec@1 52.000 (48.370)	Prec@5 75.500 (78.705)
Epoch: [58][3100/9018]	Time 0.626 (0.637)	Data 0.001 (0.004)	Loss 1.8856 (1.9934)	Prec@1 50.500 (48.371)	Prec@5 82.000 (78.704)
Epoch: [58][3110/9018]	Time 0.625 (0.637)	Data 0.001 (0.004)	Loss 1.7796 (1.9935)	Prec@1 54.000 (48.366)	Prec@5 78.500 (78.702)
Epoch: [58][3120/9018]	Time 0.643 (0.637)	Data 0.001 (0.004)	Loss 2.0449 (1.9935)	Prec@1 47.000 (48.364)	Prec@5 82.500 (78.704)
Epoch: [58][3130/9018]	Time 0.627 (0.637)	Data 0.017 (0.004)	Loss 2.0144 (1.9935)	Prec@1 48.500 (48.366)	Prec@5 77.500 (78.703)
Epoch: [58][3140/9018]	Time 0.604 (0.637)	Data 0.001 (0.004)	Loss 1.9083 (1.9936)	Prec@1 52.500 (48.365)	Prec@5 82.000 (78.702)
Epoch: [58][3150/9018]	Time 0.624 (0.637)	Data 0.005 (0.004)	Loss 1.8860 (1.9936)	Prec@1 54.000 (48.366)	Prec@5 81.000 (78.704)
Epoch: [58][3160/9018]	Time 0.646 (0.637)	Data 0.015 (0.004)	Loss 2.2172 (1.9938)	Prec@1 46.500 (48.364)	Prec@5 74.500 (78.700)
Epoch: [58][3170/9018]	Time 0.634 (0.637)	Data 0.001 (0.004)	Loss 1.9190 (1.9940)	Prec@1 47.000 (48.356)	Prec@5 83.000 (78.698)
Epoch: [58][3180/9018]	Time 0.626 (0.637)	Data 0.001 (0.004)	Loss 1.9166 (1.9940)	Prec@1 49.500 (48.357)	Prec@5 80.500 (78.697)
Epoch: [58][3190/9018]	Time 0.635 (0.637)	Data 0.001 (0.004)	Loss 1.9031 (1.9941)	Prec@1 51.000 (48.354)	Prec@5 79.500 (78.692)
Epoch: [58][3200/9018]	Time 0.640 (0.637)	Data 0.001 (0.004)	Loss 2.1005 (1.9942)	Prec@1 44.000 (48.349)	Prec@5 77.000 (78.693)
Epoch: [58][3210/9018]	Time 0.630 (0.637)	Data 0.001 (0.004)	Loss 1.9326 (1.9943)	Prec@1 50.500 (48.344)	Prec@5 80.000 (78.689)
Epoch: [58][3220/9018]	Time 0.601 (0.637)	Data 0.001 (0.004)	Loss 1.8975 (1.9944)	Prec@1 55.500 (48.344)	Prec@5 83.000 (78.687)
Epoch: [58][3230/9018]	Time 0.623 (0.637)	Data 0.001 (0.004)	Loss 1.7716 (1.9939)	Prec@1 55.000 (48.348)	Prec@5 84.500 (78.696)
Epoch: [58][3240/9018]	Time 0.614 (0.637)	Data 0.001 (0.004)	Loss 1.9545 (1.9939)	Prec@1 48.000 (48.348)	Prec@5 76.500 (78.696)
Epoch: [58][3250/9018]	Time 0.602 (0.637)	Data 0.001 (0.004)	Loss 2.0114 (1.9940)	Prec@1 48.500 (48.352)	Prec@5 81.500 (78.696)
Epoch: [58][3260/9018]	Time 0.617 (0.637)	Data 0.001 (0.004)	Loss 2.2492 (1.9943)	Prec@1 38.500 (48.346)	Prec@5 77.500 (78.693)
Epoch: [58][3270/9018]	Time 0.635 (0.637)	Data 0.001 (0.004)	Loss 1.9120 (1.9941)	Prec@1 53.500 (48.348)	Prec@5 78.000 (78.696)
Epoch: [58][3280/9018]	Time 0.626 (0.637)	Data 0.001 (0.004)	Loss 2.1063 (1.9943)	Prec@1 45.000 (48.342)	Prec@5 78.500 (78.692)
Epoch: [58][3290/9018]	Time 0.630 (0.637)	Data 0.006 (0.004)	Loss 1.8538 (1.9943)	Prec@1 53.500 (48.344)	Prec@5 83.000 (78.692)
Epoch: [58][3300/9018]	Time 0.792 (0.637)	Data 0.001 (0.004)	Loss 1.9260 (1.9943)	Prec@1 50.000 (48.344)	Prec@5 82.000 (78.694)
Epoch: [58][3310/9018]	Time 0.637 (0.637)	Data 0.001 (0.004)	Loss 2.1677 (1.9945)	Prec@1 46.000 (48.337)	Prec@5 74.000 (78.691)
Epoch: [58][3320/9018]	Time 0.640 (0.637)	Data 0.010 (0.004)	Loss 2.0776 (1.9946)	Prec@1 46.500 (48.335)	Prec@5 75.500 (78.691)
Epoch: [58][3330/9018]	Time 0.629 (0.637)	Data 0.001 (0.004)	Loss 2.2065 (1.9947)	Prec@1 43.000 (48.333)	Prec@5 78.500 (78.690)
Epoch: [58][3340/9018]	Time 0.626 (0.637)	Data 0.001 (0.004)	Loss 1.8937 (1.9944)	Prec@1 53.000 (48.340)	Prec@5 78.000 (78.696)
Epoch: [58][3350/9018]	Time 0.791 (0.637)	Data 0.016 (0.004)	Loss 2.1247 (1.9946)	Prec@1 45.000 (48.340)	Prec@5 73.000 (78.692)
Epoch: [58][3360/9018]	Time 0.627 (0.637)	Data 0.001 (0.004)	Loss 1.9014 (1.9946)	Prec@1 46.500 (48.341)	Prec@5 81.000 (78.693)
Epoch: [58][3370/9018]	Time 0.607 (0.637)	Data 0.001 (0.004)	Loss 2.0771 (1.9948)	Prec@1 47.000 (48.340)	Prec@5 76.500 (78.690)
Epoch: [58][3380/9018]	Time 0.627 (0.637)	Data 0.001 (0.004)	Loss 1.9979 (1.9947)	Prec@1 50.000 (48.342)	Prec@5 77.500 (78.694)
Epoch: [58][3390/9018]	Time 0.636 (0.637)	Data 0.001 (0.004)	Loss 1.9722 (1.9946)	Prec@1 46.500 (48.344)	Prec@5 78.000 (78.696)
Epoch: [58][3400/9018]	Time 0.629 (0.637)	Data 0.001 (0.004)	Loss 2.0131 (1.9946)	Prec@1 50.000 (48.344)	Prec@5 77.500 (78.698)
Epoch: [58][3410/9018]	Time 0.625 (0.637)	Data 0.001 (0.004)	Loss 2.1704 (1.9945)	Prec@1 49.500 (48.349)	Prec@5 77.000 (78.700)
Epoch: [58][3420/9018]	Time 0.637 (0.637)	Data 0.001 (0.004)	Loss 1.8914 (1.9946)	Prec@1 52.000 (48.347)	Prec@5 80.500 (78.699)
Epoch: [58][3430/9018]	Time 0.618 (0.637)	Data 0.001 (0.004)	Loss 2.2581 (1.9945)	Prec@1 42.500 (48.350)	Prec@5 74.000 (78.700)
Epoch: [58][3440/9018]	Time 0.627 (0.637)	Data 0.001 (0.004)	Loss 1.8218 (1.9945)	Prec@1 49.500 (48.358)	Prec@5 82.000 (78.697)
Epoch: [58][3450/9018]	Time 0.644 (0.637)	Data 0.001 (0.004)	Loss 2.0329 (1.9945)	Prec@1 46.500 (48.357)	Prec@5 81.000 (78.697)
Epoch: [58][3460/9018]	Time 0.645 (0.637)	Data 0.013 (0.004)	Loss 2.0438 (1.9944)	Prec@1 48.000 (48.355)	Prec@5 79.500 (78.700)
Epoch: [58][3470/9018]	Time 0.639 (0.637)	Data 0.001 (0.004)	Loss 1.9697 (1.9943)	Prec@1 50.000 (48.359)	Prec@5 83.500 (78.704)
Epoch: [58][3480/9018]	Time 0.634 (0.637)	Data 0.001 (0.004)	Loss 2.1576 (1.9944)	Prec@1 45.000 (48.354)	Prec@5 73.000 (78.701)
Epoch: [58][3490/9018]	Time 0.609 (0.637)	Data 0.001 (0.004)	Loss 2.0507 (1.9942)	Prec@1 47.000 (48.360)	Prec@5 78.000 (78.706)
Epoch: [58][3500/9018]	Time 0.611 (0.637)	Data 0.001 (0.004)	Loss 1.9458 (1.9942)	Prec@1 51.500 (48.362)	Prec@5 80.500 (78.704)
Epoch: [58][3510/9018]	Time 0.627 (0.637)	Data 0.001 (0.004)	Loss 1.9772 (1.9943)	Prec@1 49.500 (48.358)	Prec@5 78.500 (78.702)
Epoch: [58][3520/9018]	Time 0.610 (0.637)	Data 0.001 (0.004)	Loss 2.0053 (1.9943)	Prec@1 47.000 (48.360)	Prec@5 76.000 (78.700)
Epoch: [58][3530/9018]	Time 0.634 (0.637)	Data 0.009 (0.004)	Loss 2.1689 (1.9946)	Prec@1 44.500 (48.359)	Prec@5 73.000 (78.692)
Epoch: [58][3540/9018]	Time 0.626 (0.637)	Data 0.001 (0.004)	Loss 2.2060 (1.9946)	Prec@1 46.500 (48.362)	Prec@5 73.000 (78.690)
Epoch: [58][3550/9018]	Time 0.655 (0.637)	Data 0.001 (0.004)	Loss 1.9132 (1.9947)	Prec@1 51.000 (48.363)	Prec@5 77.500 (78.688)
Epoch: [58][3560/9018]	Time 0.639 (0.637)	Data 0.014 (0.004)	Loss 2.1253 (1.9946)	Prec@1 49.000 (48.369)	Prec@5 74.500 (78.689)
Epoch: [58][3570/9018]	Time 0.617 (0.637)	Data 0.001 (0.003)	Loss 2.0397 (1.9946)	Prec@1 47.000 (48.371)	Prec@5 77.500 (78.689)
Epoch: [58][3580/9018]	Time 0.618 (0.637)	Data 0.001 (0.003)	Loss 1.7744 (1.9945)	Prec@1 53.500 (48.375)	Prec@5 79.500 (78.692)
Epoch: [58][3590/9018]	Time 0.595 (0.637)	Data 0.001 (0.003)	Loss 2.0129 (1.9945)	Prec@1 47.500 (48.371)	Prec@5 76.000 (78.689)
Epoch: [58][3600/9018]	Time 0.646 (0.637)	Data 0.007 (0.003)	Loss 2.2182 (1.9944)	Prec@1 41.500 (48.370)	Prec@5 73.000 (78.692)
Epoch: [58][3610/9018]	Time 0.632 (0.637)	Data 0.001 (0.003)	Loss 1.8632 (1.9944)	Prec@1 54.500 (48.373)	Prec@5 81.000 (78.694)
Epoch: [58][3620/9018]	Time 0.611 (0.637)	Data 0.016 (0.003)	Loss 2.0872 (1.9945)	Prec@1 44.500 (48.370)	Prec@5 81.000 (78.695)
Epoch: [58][3630/9018]	Time 0.782 (0.637)	Data 0.001 (0.004)	Loss 2.0964 (1.9945)	Prec@1 50.000 (48.371)	Prec@5 77.000 (78.695)
Epoch: [58][3640/9018]	Time 0.624 (0.637)	Data 0.001 (0.004)	Loss 1.8781 (1.9944)	Prec@1 53.000 (48.376)	Prec@5 79.500 (78.697)
Epoch: [58][3650/9018]	Time 0.605 (0.637)	Data 0.001 (0.004)	Loss 2.0305 (1.9943)	Prec@1 50.000 (48.375)	Prec@5 81.500 (78.698)
Epoch: [58][3660/9018]	Time 0.645 (0.637)	Data 0.001 (0.004)	Loss 2.1675 (1.9942)	Prec@1 48.000 (48.381)	Prec@5 77.500 (78.698)
Epoch: [58][3670/9018]	Time 0.613 (0.637)	Data 0.001 (0.004)	Loss 1.9068 (1.9943)	Prec@1 53.500 (48.380)	Prec@5 79.500 (78.698)
Epoch: [58][3680/9018]	Time 0.768 (0.637)	Data 0.001 (0.004)	Loss 1.9864 (1.9944)	Prec@1 50.500 (48.379)	Prec@5 81.500 (78.699)
Epoch: [58][3690/9018]	Time 0.621 (0.637)	Data 0.001 (0.004)	Loss 2.0190 (1.9945)	Prec@1 45.000 (48.376)	Prec@5 80.000 (78.697)
Epoch: [58][3700/9018]	Time 0.647 (0.637)	Data 0.001 (0.004)	Loss 1.9424 (1.9944)	Prec@1 48.000 (48.377)	Prec@5 80.000 (78.697)
Epoch: [58][3710/9018]	Time 0.623 (0.637)	Data 0.001 (0.004)	Loss 1.8392 (1.9944)	Prec@1 55.000 (48.379)	Prec@5 82.000 (78.700)
Epoch: [58][3720/9018]	Time 0.623 (0.637)	Data 0.001 (0.003)	Loss 1.9621 (1.9944)	Prec@1 55.500 (48.379)	Prec@5 79.500 (78.702)
Epoch: [58][3730/9018]	Time 0.620 (0.637)	Data 0.001 (0.004)	Loss 1.9328 (1.9943)	Prec@1 48.000 (48.374)	Prec@5 77.000 (78.703)
Epoch: [58][3740/9018]	Time 0.614 (0.637)	Data 0.001 (0.004)	Loss 1.8972 (1.9944)	Prec@1 47.000 (48.374)	Prec@5 83.500 (78.702)
Epoch: [58][3750/9018]	Time 0.617 (0.637)	Data 0.001 (0.004)	Loss 1.6744 (1.9943)	Prec@1 58.000 (48.374)	Prec@5 84.500 (78.704)
Epoch: [58][3760/9018]	Time 0.628 (0.637)	Data 0.001 (0.003)	Loss 1.9087 (1.9941)	Prec@1 52.000 (48.377)	Prec@5 76.500 (78.706)
Epoch: [58][3770/9018]	Time 0.643 (0.637)	Data 0.008 (0.003)	Loss 2.1037 (1.9942)	Prec@1 44.500 (48.377)	Prec@5 79.500 (78.706)
Epoch: [58][3780/9018]	Time 0.614 (0.637)	Data 0.001 (0.003)	Loss 2.0962 (1.9943)	Prec@1 48.500 (48.375)	Prec@5 75.500 (78.704)
Epoch: [58][3790/9018]	Time 0.609 (0.637)	Data 0.001 (0.003)	Loss 2.0521 (1.9941)	Prec@1 45.000 (48.377)	Prec@5 81.000 (78.708)
Epoch: [58][3800/9018]	Time 0.644 (0.637)	Data 0.002 (0.003)	Loss 2.0994 (1.9943)	Prec@1 48.000 (48.374)	Prec@5 77.000 (78.704)
Epoch: [58][3810/9018]	Time 0.643 (0.637)	Data 0.001 (0.003)	Loss 1.8141 (1.9945)	Prec@1 55.000 (48.369)	Prec@5 82.000 (78.703)
Epoch: [58][3820/9018]	Time 0.626 (0.637)	Data 0.001 (0.003)	Loss 2.0443 (1.9947)	Prec@1 47.000 (48.366)	Prec@5 76.000 (78.700)
Epoch: [58][3830/9018]	Time 0.641 (0.637)	Data 0.017 (0.003)	Loss 2.1049 (1.9949)	Prec@1 49.000 (48.362)	Prec@5 77.000 (78.697)
Epoch: [58][3840/9018]	Time 0.664 (0.637)	Data 0.001 (0.003)	Loss 2.0221 (1.9948)	Prec@1 48.000 (48.363)	Prec@5 79.500 (78.700)
Epoch: [58][3850/9018]	Time 0.595 (0.637)	Data 0.001 (0.003)	Loss 1.9519 (1.9949)	Prec@1 47.000 (48.361)	Prec@5 78.500 (78.700)
Epoch: [58][3860/9018]	Time 0.627 (0.637)	Data 0.001 (0.003)	Loss 2.2163 (1.9949)	Prec@1 40.500 (48.358)	Prec@5 75.000 (78.698)
Epoch: [58][3870/9018]	Time 0.636 (0.637)	Data 0.005 (0.003)	Loss 1.8430 (1.9950)	Prec@1 53.500 (48.358)	Prec@5 82.000 (78.695)
Epoch: [58][3880/9018]	Time 0.610 (0.637)	Data 0.001 (0.003)	Loss 1.8293 (1.9950)	Prec@1 52.000 (48.357)	Prec@5 82.000 (78.696)
Epoch: [58][3890/9018]	Time 0.620 (0.637)	Data 0.011 (0.003)	Loss 1.9194 (1.9949)	Prec@1 46.500 (48.355)	Prec@5 80.000 (78.698)
Epoch: [58][3900/9018]	Time 0.645 (0.637)	Data 0.001 (0.003)	Loss 2.1631 (1.9949)	Prec@1 48.000 (48.358)	Prec@5 76.000 (78.699)
Epoch: [58][3910/9018]	Time 0.615 (0.637)	Data 0.014 (0.003)	Loss 1.9427 (1.9950)	Prec@1 46.000 (48.358)	Prec@5 81.000 (78.699)
Epoch: [58][3920/9018]	Time 0.631 (0.637)	Data 0.001 (0.003)	Loss 1.9280 (1.9949)	Prec@1 48.500 (48.358)	Prec@5 81.000 (78.701)
Epoch: [58][3930/9018]	Time 0.633 (0.637)	Data 0.001 (0.003)	Loss 1.7886 (1.9950)	Prec@1 53.500 (48.355)	Prec@5 84.000 (78.700)
Epoch: [58][3940/9018]	Time 0.630 (0.637)	Data 0.005 (0.003)	Loss 1.9549 (1.9952)	Prec@1 47.500 (48.349)	Prec@5 81.000 (78.697)
Epoch: [58][3950/9018]	Time 0.630 (0.637)	Data 0.004 (0.003)	Loss 2.1207 (1.9951)	Prec@1 41.000 (48.349)	Prec@5 75.500 (78.694)
Epoch: [58][3960/9018]	Time 0.785 (0.637)	Data 0.001 (0.003)	Loss 2.0299 (1.9952)	Prec@1 46.500 (48.345)	Prec@5 80.000 (78.694)
Epoch: [58][3970/9018]	Time 0.600 (0.637)	Data 0.001 (0.003)	Loss 2.0736 (1.9954)	Prec@1 51.000 (48.344)	Prec@5 76.000 (78.690)
Epoch: [58][3980/9018]	Time 0.644 (0.637)	Data 0.001 (0.003)	Loss 1.8233 (1.9954)	Prec@1 51.000 (48.342)	Prec@5 82.500 (78.691)
Epoch: [58][3990/9018]	Time 0.635 (0.637)	Data 0.001 (0.003)	Loss 2.0935 (1.9955)	Prec@1 47.000 (48.340)	Prec@5 76.500 (78.691)
Epoch: [58][4000/9018]	Time 0.650 (0.637)	Data 0.001 (0.003)	Loss 2.1123 (1.9952)	Prec@1 46.500 (48.346)	Prec@5 78.000 (78.698)
Epoch: [58][4010/9018]	Time 0.795 (0.637)	Data 0.014 (0.003)	Loss 1.8948 (1.9953)	Prec@1 50.000 (48.345)	Prec@5 81.500 (78.698)
Epoch: [58][4020/9018]	Time 0.637 (0.637)	Data 0.001 (0.003)	Loss 1.9183 (1.9952)	Prec@1 51.000 (48.349)	Prec@5 79.500 (78.699)
Epoch: [58][4030/9018]	Time 0.615 (0.637)	Data 0.001 (0.003)	Loss 2.1482 (1.9953)	Prec@1 43.500 (48.345)	Prec@5 75.500 (78.699)
Epoch: [58][4040/9018]	Time 0.629 (0.637)	Data 0.001 (0.003)	Loss 1.9188 (1.9954)	Prec@1 48.000 (48.342)	Prec@5 77.500 (78.697)
Epoch: [58][4050/9018]	Time 0.630 (0.637)	Data 0.001 (0.003)	Loss 2.2462 (1.9954)	Prec@1 41.500 (48.343)	Prec@5 75.500 (78.696)
Epoch: [58][4060/9018]	Time 0.624 (0.637)	Data 0.013 (0.003)	Loss 2.1088 (1.9953)	Prec@1 47.000 (48.345)	Prec@5 72.000 (78.695)
Epoch: [58][4070/9018]	Time 0.619 (0.637)	Data 0.001 (0.003)	Loss 2.0613 (1.9952)	Prec@1 47.500 (48.346)	Prec@5 73.000 (78.696)
Epoch: [58][4080/9018]	Time 0.632 (0.637)	Data 0.001 (0.003)	Loss 2.0506 (1.9951)	Prec@1 44.000 (48.347)	Prec@5 76.500 (78.701)
Epoch: [58][4090/9018]	Time 0.619 (0.637)	Data 0.001 (0.003)	Loss 1.9233 (1.9951)	Prec@1 44.500 (48.346)	Prec@5 80.500 (78.697)
Epoch: [58][4100/9018]	Time 0.625 (0.637)	Data 0.001 (0.003)	Loss 1.9087 (1.9949)	Prec@1 51.000 (48.352)	Prec@5 79.500 (78.700)
Epoch: [58][4110/9018]	Time 0.625 (0.637)	Data 0.001 (0.003)	Loss 1.7954 (1.9948)	Prec@1 53.500 (48.354)	Prec@5 82.500 (78.703)
Epoch: [58][4120/9018]	Time 0.623 (0.637)	Data 0.001 (0.003)	Loss 1.9889 (1.9949)	Prec@1 49.500 (48.352)	Prec@5 80.500 (78.698)
Epoch: [58][4130/9018]	Time 0.617 (0.637)	Data 0.001 (0.003)	Loss 1.6499 (1.9949)	Prec@1 59.500 (48.357)	Prec@5 81.000 (78.698)
Epoch: [58][4140/9018]	Time 0.635 (0.637)	Data 0.013 (0.003)	Loss 2.0589 (1.9950)	Prec@1 48.000 (48.355)	Prec@5 80.000 (78.695)
Epoch: [58][4150/9018]	Time 0.624 (0.636)	Data 0.001 (0.003)	Loss 2.0859 (1.9952)	Prec@1 44.500 (48.349)	Prec@5 76.500 (78.692)
Epoch: [58][4160/9018]	Time 0.627 (0.637)	Data 0.001 (0.003)	Loss 1.8114 (1.9951)	Prec@1 49.500 (48.351)	Prec@5 85.000 (78.695)
Epoch: [58][4170/9018]	Time 0.626 (0.636)	Data 0.001 (0.003)	Loss 1.9204 (1.9951)	Prec@1 45.000 (48.351)	Prec@5 84.000 (78.695)
Epoch: [58][4180/9018]	Time 0.629 (0.636)	Data 0.001 (0.003)	Loss 1.8556 (1.9952)	Prec@1 47.500 (48.351)	Prec@5 81.500 (78.693)
Epoch: [58][4190/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 2.0527 (1.9950)	Prec@1 45.500 (48.352)	Prec@5 78.500 (78.697)
Epoch: [58][4200/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 2.0293 (1.9951)	Prec@1 45.500 (48.350)	Prec@5 79.000 (78.694)
Epoch: [58][4210/9018]	Time 0.660 (0.637)	Data 0.001 (0.003)	Loss 1.8427 (1.9952)	Prec@1 51.500 (48.347)	Prec@5 81.000 (78.689)
Epoch: [58][4220/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 1.9450 (1.9952)	Prec@1 48.500 (48.347)	Prec@5 81.500 (78.691)
Epoch: [58][4230/9018]	Time 0.624 (0.637)	Data 0.001 (0.003)	Loss 1.9462 (1.9953)	Prec@1 51.000 (48.346)	Prec@5 79.000 (78.688)
Epoch: [58][4240/9018]	Time 0.620 (0.636)	Data 0.001 (0.003)	Loss 1.8384 (1.9954)	Prec@1 46.000 (48.346)	Prec@5 83.000 (78.687)
Epoch: [58][4250/9018]	Time 0.649 (0.637)	Data 0.001 (0.003)	Loss 2.0251 (1.9955)	Prec@1 49.500 (48.343)	Prec@5 77.000 (78.686)
Epoch: [58][4260/9018]	Time 0.631 (0.636)	Data 0.001 (0.003)	Loss 2.0720 (1.9955)	Prec@1 45.000 (48.343)	Prec@5 77.000 (78.685)
Epoch: [58][4270/9018]	Time 0.635 (0.636)	Data 0.001 (0.003)	Loss 2.0188 (1.9956)	Prec@1 50.000 (48.342)	Prec@5 77.500 (78.683)
Epoch: [58][4280/9018]	Time 0.622 (0.636)	Data 0.001 (0.003)	Loss 2.1655 (1.9956)	Prec@1 50.000 (48.341)	Prec@5 72.000 (78.683)
Epoch: [58][4290/9018]	Time 0.746 (0.636)	Data 0.001 (0.003)	Loss 1.8453 (1.9955)	Prec@1 52.500 (48.344)	Prec@5 80.000 (78.682)
Epoch: [58][4300/9018]	Time 0.613 (0.636)	Data 0.001 (0.003)	Loss 1.8831 (1.9955)	Prec@1 52.500 (48.345)	Prec@5 81.500 (78.685)
Epoch: [58][4310/9018]	Time 0.646 (0.637)	Data 0.001 (0.003)	Loss 2.0271 (1.9956)	Prec@1 45.500 (48.341)	Prec@5 80.500 (78.682)
Epoch: [58][4320/9018]	Time 0.630 (0.636)	Data 0.001 (0.003)	Loss 1.8891 (1.9956)	Prec@1 50.000 (48.344)	Prec@5 82.500 (78.683)
Epoch: [58][4330/9018]	Time 0.633 (0.637)	Data 0.001 (0.003)	Loss 1.8451 (1.9956)	Prec@1 48.500 (48.341)	Prec@5 83.000 (78.684)
Epoch: [58][4340/9018]	Time 0.791 (0.637)	Data 0.001 (0.003)	Loss 1.8461 (1.9956)	Prec@1 49.000 (48.337)	Prec@5 83.000 (78.684)
Epoch: [58][4350/9018]	Time 0.612 (0.637)	Data 0.001 (0.003)	Loss 1.9865 (1.9956)	Prec@1 45.500 (48.334)	Prec@5 78.000 (78.682)
Epoch: [58][4360/9018]	Time 0.640 (0.637)	Data 0.001 (0.003)	Loss 1.8717 (1.9957)	Prec@1 52.000 (48.334)	Prec@5 79.500 (78.680)
Epoch: [58][4370/9018]	Time 0.637 (0.637)	Data 0.001 (0.003)	Loss 1.9018 (1.9957)	Prec@1 44.000 (48.335)	Prec@5 84.000 (78.682)
Epoch: [58][4380/9018]	Time 0.646 (0.637)	Data 0.001 (0.003)	Loss 2.1125 (1.9958)	Prec@1 43.000 (48.330)	Prec@5 74.000 (78.679)
Epoch: [58][4390/9018]	Time 0.619 (0.637)	Data 0.001 (0.003)	Loss 2.1866 (1.9958)	Prec@1 49.000 (48.330)	Prec@5 74.000 (78.680)
Epoch: [58][4400/9018]	Time 0.608 (0.637)	Data 0.001 (0.003)	Loss 1.8344 (1.9958)	Prec@1 51.000 (48.330)	Prec@5 80.500 (78.681)
Epoch: [58][4410/9018]	Time 0.616 (0.637)	Data 0.010 (0.003)	Loss 1.9685 (1.9959)	Prec@1 48.000 (48.328)	Prec@5 74.500 (78.680)
Epoch: [58][4420/9018]	Time 0.623 (0.636)	Data 0.001 (0.003)	Loss 1.9990 (1.9960)	Prec@1 47.500 (48.325)	Prec@5 80.500 (78.678)
Epoch: [58][4430/9018]	Time 0.642 (0.636)	Data 0.001 (0.003)	Loss 1.8754 (1.9960)	Prec@1 48.000 (48.326)	Prec@5 79.000 (78.678)
Epoch: [58][4440/9018]	Time 0.605 (0.636)	Data 0.001 (0.003)	Loss 2.1244 (1.9961)	Prec@1 46.500 (48.324)	Prec@5 80.000 (78.678)
Epoch: [58][4450/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 1.9591 (1.9960)	Prec@1 50.000 (48.323)	Prec@5 79.000 (78.678)
Epoch: [58][4460/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 2.0364 (1.9960)	Prec@1 44.500 (48.324)	Prec@5 80.000 (78.679)
Epoch: [58][4470/9018]	Time 0.613 (0.636)	Data 0.004 (0.003)	Loss 2.2372 (1.9959)	Prec@1 42.500 (48.327)	Prec@5 73.500 (78.682)
Epoch: [58][4480/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 1.9147 (1.9959)	Prec@1 48.000 (48.330)	Prec@5 76.500 (78.682)
Epoch: [58][4490/9018]	Time 0.631 (0.636)	Data 0.001 (0.003)	Loss 2.1701 (1.9960)	Prec@1 42.000 (48.327)	Prec@5 75.000 (78.681)
Epoch: [58][4500/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 1.9140 (1.9960)	Prec@1 50.000 (48.327)	Prec@5 80.500 (78.681)
Epoch: [58][4510/9018]	Time 0.642 (0.636)	Data 0.008 (0.003)	Loss 1.9779 (1.9960)	Prec@1 44.500 (48.323)	Prec@5 79.500 (78.680)
Epoch: [58][4520/9018]	Time 0.603 (0.636)	Data 0.001 (0.003)	Loss 2.2406 (1.9961)	Prec@1 44.500 (48.321)	Prec@5 74.000 (78.678)
Epoch: [58][4530/9018]	Time 0.634 (0.636)	Data 0.001 (0.003)	Loss 1.9593 (1.9960)	Prec@1 48.500 (48.325)	Prec@5 81.500 (78.681)
Epoch: [58][4540/9018]	Time 0.610 (0.636)	Data 0.001 (0.003)	Loss 2.0878 (1.9960)	Prec@1 45.000 (48.325)	Prec@5 79.000 (78.683)
Epoch: [58][4550/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 1.9151 (1.9959)	Prec@1 52.500 (48.322)	Prec@5 80.500 (78.684)
Epoch: [58][4560/9018]	Time 0.616 (0.636)	Data 0.001 (0.003)	Loss 1.9554 (1.9960)	Prec@1 51.500 (48.323)	Prec@5 82.000 (78.688)
Epoch: [58][4570/9018]	Time 0.624 (0.636)	Data 0.001 (0.003)	Loss 2.1304 (1.9960)	Prec@1 46.500 (48.321)	Prec@5 75.500 (78.688)
Epoch: [58][4580/9018]	Time 0.636 (0.636)	Data 0.001 (0.003)	Loss 1.9219 (1.9960)	Prec@1 51.500 (48.321)	Prec@5 81.500 (78.687)
Epoch: [58][4590/9018]	Time 0.620 (0.636)	Data 0.001 (0.003)	Loss 1.8306 (1.9959)	Prec@1 50.000 (48.322)	Prec@5 82.000 (78.688)
Epoch: [58][4600/9018]	Time 0.625 (0.636)	Data 0.005 (0.003)	Loss 2.0602 (1.9960)	Prec@1 49.000 (48.321)	Prec@5 76.500 (78.686)
Epoch: [58][4610/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 2.0005 (1.9960)	Prec@1 47.000 (48.324)	Prec@5 77.000 (78.684)
Epoch: [58][4620/9018]	Time 0.788 (0.636)	Data 0.001 (0.003)	Loss 1.9978 (1.9960)	Prec@1 48.000 (48.327)	Prec@5 81.500 (78.686)
Epoch: [58][4630/9018]	Time 0.615 (0.636)	Data 0.001 (0.003)	Loss 2.0027 (1.9960)	Prec@1 46.000 (48.330)	Prec@5 81.000 (78.686)
Epoch: [58][4640/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 1.9413 (1.9959)	Prec@1 46.500 (48.332)	Prec@5 79.000 (78.688)
Epoch: [58][4650/9018]	Time 0.615 (0.636)	Data 0.001 (0.003)	Loss 1.8645 (1.9959)	Prec@1 52.500 (48.330)	Prec@5 79.500 (78.688)
Epoch: [58][4660/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 2.2086 (1.9959)	Prec@1 42.500 (48.331)	Prec@5 73.500 (78.687)
Epoch: [58][4670/9018]	Time 0.732 (0.636)	Data 0.001 (0.003)	Loss 2.2352 (1.9960)	Prec@1 43.000 (48.327)	Prec@5 77.500 (78.685)
Epoch: [58][4680/9018]	Time 0.611 (0.636)	Data 0.001 (0.003)	Loss 2.0537 (1.9960)	Prec@1 47.500 (48.328)	Prec@5 78.000 (78.687)
Epoch: [58][4690/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 1.9360 (1.9959)	Prec@1 51.500 (48.331)	Prec@5 78.000 (78.687)
Epoch: [58][4700/9018]	Time 0.615 (0.636)	Data 0.017 (0.003)	Loss 2.3603 (1.9960)	Prec@1 42.000 (48.329)	Prec@5 73.000 (78.687)
Epoch: [58][4710/9018]	Time 0.615 (0.636)	Data 0.001 (0.003)	Loss 2.1205 (1.9960)	Prec@1 52.000 (48.328)	Prec@5 76.500 (78.686)
Epoch: [58][4720/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 2.2521 (1.9961)	Prec@1 44.500 (48.326)	Prec@5 70.500 (78.682)
Epoch: [58][4730/9018]	Time 0.633 (0.636)	Data 0.013 (0.003)	Loss 1.9506 (1.9961)	Prec@1 52.500 (48.327)	Prec@5 79.000 (78.683)
Epoch: [58][4740/9018]	Time 0.615 (0.636)	Data 0.003 (0.003)	Loss 2.0104 (1.9962)	Prec@1 47.500 (48.325)	Prec@5 79.500 (78.682)
Epoch: [58][4750/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 1.7946 (1.9963)	Prec@1 50.500 (48.322)	Prec@5 81.500 (78.680)
Epoch: [58][4760/9018]	Time 0.609 (0.636)	Data 0.001 (0.003)	Loss 1.9628 (1.9963)	Prec@1 46.500 (48.319)	Prec@5 78.000 (78.681)
Epoch: [58][4770/9018]	Time 0.626 (0.636)	Data 0.001 (0.003)	Loss 1.8221 (1.9963)	Prec@1 51.000 (48.320)	Prec@5 83.000 (78.679)
Epoch: [58][4780/9018]	Time 0.616 (0.636)	Data 0.001 (0.003)	Loss 1.7403 (1.9963)	Prec@1 55.500 (48.320)	Prec@5 83.500 (78.678)
Epoch: [58][4790/9018]	Time 0.636 (0.636)	Data 0.012 (0.003)	Loss 1.9227 (1.9963)	Prec@1 51.500 (48.320)	Prec@5 79.500 (78.680)
Epoch: [58][4800/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 1.9940 (1.9964)	Prec@1 47.500 (48.319)	Prec@5 81.000 (78.679)
Epoch: [58][4810/9018]	Time 0.620 (0.636)	Data 0.001 (0.003)	Loss 1.9341 (1.9964)	Prec@1 50.500 (48.318)	Prec@5 78.500 (78.678)
Epoch: [58][4820/9018]	Time 0.616 (0.636)	Data 0.001 (0.003)	Loss 1.9858 (1.9964)	Prec@1 51.000 (48.316)	Prec@5 79.500 (78.680)
Epoch: [58][4830/9018]	Time 0.636 (0.636)	Data 0.001 (0.003)	Loss 2.0437 (1.9965)	Prec@1 42.500 (48.311)	Prec@5 81.000 (78.677)
Epoch: [58][4840/9018]	Time 0.620 (0.636)	Data 0.001 (0.003)	Loss 1.9693 (1.9966)	Prec@1 48.500 (48.308)	Prec@5 80.000 (78.675)
Epoch: [58][4850/9018]	Time 0.614 (0.636)	Data 0.009 (0.003)	Loss 1.9296 (1.9965)	Prec@1 51.000 (48.309)	Prec@5 78.500 (78.677)
Epoch: [58][4860/9018]	Time 0.626 (0.636)	Data 0.001 (0.003)	Loss 1.9776 (1.9966)	Prec@1 49.000 (48.307)	Prec@5 74.000 (78.674)
Epoch: [58][4870/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 2.0213 (1.9965)	Prec@1 46.000 (48.310)	Prec@5 76.000 (78.677)
Epoch: [58][4880/9018]	Time 0.641 (0.636)	Data 0.001 (0.003)	Loss 2.0101 (1.9965)	Prec@1 49.000 (48.307)	Prec@5 81.000 (78.678)
Epoch: [58][4890/9018]	Time 0.647 (0.636)	Data 0.001 (0.003)	Loss 1.8833 (1.9965)	Prec@1 52.500 (48.307)	Prec@5 81.500 (78.676)
Epoch: [58][4900/9018]	Time 0.630 (0.636)	Data 0.001 (0.003)	Loss 2.1407 (1.9967)	Prec@1 43.500 (48.304)	Prec@5 78.500 (78.676)
Epoch: [58][4910/9018]	Time 0.641 (0.636)	Data 0.001 (0.003)	Loss 2.0005 (1.9966)	Prec@1 48.000 (48.306)	Prec@5 80.500 (78.678)
Epoch: [58][4920/9018]	Time 0.643 (0.636)	Data 0.001 (0.003)	Loss 1.9902 (1.9967)	Prec@1 46.500 (48.299)	Prec@5 82.000 (78.675)
Epoch: [58][4930/9018]	Time 0.625 (0.636)	Data 0.001 (0.003)	Loss 1.8764 (1.9968)	Prec@1 56.000 (48.300)	Prec@5 78.000 (78.671)
Epoch: [58][4940/9018]	Time 0.651 (0.636)	Data 0.001 (0.003)	Loss 1.8674 (1.9968)	Prec@1 53.000 (48.301)	Prec@5 80.000 (78.671)
Epoch: [58][4950/9018]	Time 0.767 (0.636)	Data 0.001 (0.003)	Loss 2.0925 (1.9968)	Prec@1 49.000 (48.301)	Prec@5 77.000 (78.671)
Epoch: [58][4960/9018]	Time 0.627 (0.636)	Data 0.006 (0.003)	Loss 2.0677 (1.9970)	Prec@1 45.500 (48.297)	Prec@5 78.500 (78.668)
Epoch: [58][4970/9018]	Time 0.630 (0.636)	Data 0.001 (0.003)	Loss 1.9900 (1.9968)	Prec@1 54.500 (48.301)	Prec@5 77.500 (78.670)
Epoch: [58][4980/9018]	Time 0.625 (0.636)	Data 0.001 (0.003)	Loss 2.0685 (1.9969)	Prec@1 50.000 (48.299)	Prec@5 75.000 (78.671)
Epoch: [58][4990/9018]	Time 0.610 (0.636)	Data 0.001 (0.003)	Loss 2.0566 (1.9970)	Prec@1 51.000 (48.297)	Prec@5 77.000 (78.671)
Epoch: [58][5000/9018]	Time 0.748 (0.636)	Data 0.001 (0.003)	Loss 1.8825 (1.9969)	Prec@1 53.000 (48.300)	Prec@5 80.500 (78.672)
Epoch: [58][5010/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 1.9114 (1.9969)	Prec@1 50.000 (48.302)	Prec@5 81.000 (78.672)
Epoch: [58][5020/9018]	Time 0.645 (0.636)	Data 0.001 (0.003)	Loss 2.1063 (1.9969)	Prec@1 48.000 (48.301)	Prec@5 73.500 (78.672)
Epoch: [58][5030/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 2.0620 (1.9969)	Prec@1 51.000 (48.302)	Prec@5 72.500 (78.670)
Epoch: [58][5040/9018]	Time 0.610 (0.636)	Data 0.001 (0.003)	Loss 1.9881 (1.9969)	Prec@1 45.500 (48.302)	Prec@5 82.000 (78.672)
Epoch: [58][5050/9018]	Time 0.631 (0.636)	Data 0.016 (0.003)	Loss 2.1182 (1.9968)	Prec@1 46.000 (48.302)	Prec@5 73.500 (78.670)
Epoch: [58][5060/9018]	Time 0.637 (0.636)	Data 0.016 (0.003)	Loss 1.9996 (1.9968)	Prec@1 48.500 (48.304)	Prec@5 78.500 (78.671)
Epoch: [58][5070/9018]	Time 0.640 (0.636)	Data 0.015 (0.003)	Loss 2.1448 (1.9971)	Prec@1 42.500 (48.297)	Prec@5 78.500 (78.668)
Epoch: [58][5080/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 2.1275 (1.9971)	Prec@1 44.000 (48.296)	Prec@5 74.000 (78.669)
Epoch: [58][5090/9018]	Time 0.644 (0.636)	Data 0.001 (0.003)	Loss 1.8996 (1.9971)	Prec@1 49.500 (48.293)	Prec@5 80.000 (78.668)
Epoch: [58][5100/9018]	Time 0.644 (0.636)	Data 0.001 (0.003)	Loss 2.1619 (1.9972)	Prec@1 44.000 (48.291)	Prec@5 76.500 (78.668)
Epoch: [58][5110/9018]	Time 0.611 (0.636)	Data 0.001 (0.003)	Loss 1.9155 (1.9971)	Prec@1 48.500 (48.293)	Prec@5 81.000 (78.671)
Epoch: [58][5120/9018]	Time 0.639 (0.636)	Data 0.001 (0.003)	Loss 2.0654 (1.9970)	Prec@1 51.000 (48.296)	Prec@5 77.000 (78.673)
Epoch: [58][5130/9018]	Time 0.616 (0.636)	Data 0.001 (0.003)	Loss 2.0043 (1.9971)	Prec@1 51.000 (48.293)	Prec@5 81.000 (78.671)
Epoch: [58][5140/9018]	Time 0.645 (0.636)	Data 0.001 (0.003)	Loss 2.0119 (1.9971)	Prec@1 49.500 (48.294)	Prec@5 79.000 (78.669)
Epoch: [58][5150/9018]	Time 0.641 (0.636)	Data 0.001 (0.003)	Loss 2.0157 (1.9972)	Prec@1 51.000 (48.293)	Prec@5 78.500 (78.669)
Epoch: [58][5160/9018]	Time 0.609 (0.636)	Data 0.001 (0.003)	Loss 1.8419 (1.9972)	Prec@1 50.000 (48.290)	Prec@5 81.000 (78.666)
Epoch: [58][5170/9018]	Time 0.616 (0.636)	Data 0.001 (0.003)	Loss 1.8820 (1.9971)	Prec@1 48.000 (48.293)	Prec@5 77.500 (78.666)
Epoch: [58][5180/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 2.1337 (1.9971)	Prec@1 46.500 (48.295)	Prec@5 76.500 (78.665)
Epoch: [58][5190/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 2.0011 (1.9972)	Prec@1 47.000 (48.293)	Prec@5 78.500 (78.665)
Epoch: [58][5200/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 2.0924 (1.9972)	Prec@1 45.000 (48.294)	Prec@5 76.000 (78.663)
Epoch: [58][5210/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 1.8953 (1.9973)	Prec@1 47.500 (48.295)	Prec@5 81.000 (78.661)
Epoch: [58][5220/9018]	Time 0.630 (0.636)	Data 0.001 (0.003)	Loss 2.0220 (1.9974)	Prec@1 48.500 (48.294)	Prec@5 79.500 (78.661)
Epoch: [58][5230/9018]	Time 0.625 (0.636)	Data 0.001 (0.003)	Loss 2.0582 (1.9976)	Prec@1 44.500 (48.289)	Prec@5 74.000 (78.658)
Epoch: [58][5240/9018]	Time 0.621 (0.636)	Data 0.009 (0.003)	Loss 1.8920 (1.9975)	Prec@1 47.000 (48.290)	Prec@5 80.000 (78.659)
Epoch: [58][5250/9018]	Time 0.638 (0.636)	Data 0.001 (0.003)	Loss 1.8605 (1.9975)	Prec@1 53.500 (48.289)	Prec@5 79.500 (78.656)
Epoch: [58][5260/9018]	Time 0.633 (0.636)	Data 0.001 (0.003)	Loss 2.1136 (1.9977)	Prec@1 39.000 (48.284)	Prec@5 78.500 (78.654)
Epoch: [58][5270/9018]	Time 0.650 (0.636)	Data 0.003 (0.003)	Loss 2.1369 (1.9978)	Prec@1 46.000 (48.281)	Prec@5 75.000 (78.653)
Epoch: [58][5280/9018]	Time 0.747 (0.636)	Data 0.001 (0.003)	Loss 1.8587 (1.9977)	Prec@1 54.500 (48.280)	Prec@5 80.000 (78.653)
Epoch: [58][5290/9018]	Time 0.610 (0.636)	Data 0.001 (0.003)	Loss 1.9947 (1.9977)	Prec@1 47.500 (48.278)	Prec@5 81.500 (78.653)
Epoch: [58][5300/9018]	Time 0.606 (0.636)	Data 0.001 (0.003)	Loss 2.1576 (1.9977)	Prec@1 46.000 (48.279)	Prec@5 74.500 (78.653)
Epoch: [58][5310/9018]	Time 0.633 (0.636)	Data 0.016 (0.003)	Loss 2.1063 (1.9977)	Prec@1 46.000 (48.281)	Prec@5 76.500 (78.653)
Epoch: [58][5320/9018]	Time 0.662 (0.636)	Data 0.001 (0.003)	Loss 1.9000 (1.9977)	Prec@1 47.500 (48.279)	Prec@5 82.500 (78.653)
Epoch: [58][5330/9018]	Time 0.795 (0.636)	Data 0.001 (0.003)	Loss 1.9902 (1.9977)	Prec@1 53.000 (48.279)	Prec@5 77.500 (78.651)
Epoch: [58][5340/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 2.1796 (1.9978)	Prec@1 46.500 (48.277)	Prec@5 77.000 (78.649)
Epoch: [58][5350/9018]	Time 0.639 (0.636)	Data 0.001 (0.003)	Loss 1.7071 (1.9978)	Prec@1 55.000 (48.278)	Prec@5 83.000 (78.650)
Epoch: [58][5360/9018]	Time 0.635 (0.636)	Data 0.001 (0.003)	Loss 1.9724 (1.9979)	Prec@1 49.500 (48.276)	Prec@5 80.500 (78.648)
Epoch: [58][5370/9018]	Time 0.638 (0.636)	Data 0.001 (0.003)	Loss 1.9000 (1.9980)	Prec@1 49.500 (48.275)	Prec@5 81.500 (78.648)
Epoch: [58][5380/9018]	Time 0.685 (0.636)	Data 0.001 (0.003)	Loss 2.0398 (1.9979)	Prec@1 46.500 (48.279)	Prec@5 78.500 (78.652)
Epoch: [58][5390/9018]	Time 0.644 (0.636)	Data 0.001 (0.003)	Loss 2.1527 (1.9980)	Prec@1 43.500 (48.275)	Prec@5 76.000 (78.650)
Epoch: [58][5400/9018]	Time 0.625 (0.636)	Data 0.001 (0.003)	Loss 2.1827 (1.9980)	Prec@1 44.500 (48.276)	Prec@5 74.000 (78.651)
Epoch: [58][5410/9018]	Time 0.635 (0.636)	Data 0.001 (0.003)	Loss 1.9779 (1.9981)	Prec@1 48.000 (48.272)	Prec@5 78.000 (78.649)
Epoch: [58][5420/9018]	Time 0.634 (0.636)	Data 0.017 (0.003)	Loss 1.9526 (1.9979)	Prec@1 51.500 (48.275)	Prec@5 79.000 (78.653)
Epoch: [58][5430/9018]	Time 0.634 (0.636)	Data 0.001 (0.003)	Loss 1.9031 (1.9979)	Prec@1 50.000 (48.276)	Prec@5 79.000 (78.653)
Epoch: [58][5440/9018]	Time 0.641 (0.636)	Data 0.017 (0.003)	Loss 1.9244 (1.9979)	Prec@1 51.500 (48.277)	Prec@5 81.000 (78.653)
Epoch: [58][5450/9018]	Time 0.622 (0.636)	Data 0.001 (0.003)	Loss 1.9849 (1.9979)	Prec@1 45.000 (48.276)	Prec@5 83.000 (78.655)
Epoch: [58][5460/9018]	Time 0.621 (0.636)	Data 0.001 (0.003)	Loss 1.9762 (1.9979)	Prec@1 48.000 (48.273)	Prec@5 81.000 (78.657)
Epoch: [58][5470/9018]	Time 0.641 (0.636)	Data 0.001 (0.003)	Loss 1.9772 (1.9979)	Prec@1 48.500 (48.275)	Prec@5 80.500 (78.656)
Epoch: [58][5480/9018]	Time 0.642 (0.636)	Data 0.016 (0.003)	Loss 2.0453 (1.9979)	Prec@1 50.000 (48.275)	Prec@5 78.000 (78.656)
Epoch: [58][5490/9018]	Time 0.644 (0.636)	Data 0.001 (0.003)	Loss 2.0774 (1.9979)	Prec@1 48.000 (48.274)	Prec@5 75.500 (78.656)
Epoch: [58][5500/9018]	Time 0.621 (0.636)	Data 0.001 (0.003)	Loss 1.9983 (1.9980)	Prec@1 51.500 (48.272)	Prec@5 77.000 (78.655)
Epoch: [58][5510/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 2.1163 (1.9981)	Prec@1 50.000 (48.270)	Prec@5 75.500 (78.655)
Epoch: [58][5520/9018]	Time 0.642 (0.636)	Data 0.001 (0.003)	Loss 1.9689 (1.9982)	Prec@1 45.000 (48.266)	Prec@5 78.000 (78.652)
Epoch: [58][5530/9018]	Time 0.635 (0.636)	Data 0.001 (0.003)	Loss 2.0230 (1.9983)	Prec@1 46.000 (48.264)	Prec@5 75.500 (78.650)
Epoch: [58][5540/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 2.0220 (1.9983)	Prec@1 48.500 (48.262)	Prec@5 76.000 (78.647)
Epoch: [58][5550/9018]	Time 0.649 (0.636)	Data 0.001 (0.003)	Loss 1.9165 (1.9983)	Prec@1 45.500 (48.261)	Prec@5 81.500 (78.649)
Epoch: [58][5560/9018]	Time 0.633 (0.636)	Data 0.001 (0.003)	Loss 1.8761 (1.9982)	Prec@1 53.000 (48.266)	Prec@5 82.000 (78.648)
Epoch: [58][5570/9018]	Time 0.620 (0.636)	Data 0.001 (0.003)	Loss 2.0629 (1.9982)	Prec@1 47.500 (48.270)	Prec@5 78.000 (78.649)
Epoch: [58][5580/9018]	Time 0.648 (0.636)	Data 0.008 (0.003)	Loss 1.7808 (1.9981)	Prec@1 50.000 (48.269)	Prec@5 83.500 (78.649)
Epoch: [58][5590/9018]	Time 0.623 (0.636)	Data 0.002 (0.003)	Loss 2.0340 (1.9982)	Prec@1 46.000 (48.268)	Prec@5 79.500 (78.647)
Epoch: [58][5600/9018]	Time 0.626 (0.636)	Data 0.014 (0.003)	Loss 1.8306 (1.9982)	Prec@1 51.500 (48.271)	Prec@5 83.500 (78.647)
Epoch: [58][5610/9018]	Time 0.780 (0.636)	Data 0.001 (0.003)	Loss 2.2008 (1.9982)	Prec@1 45.500 (48.272)	Prec@5 75.500 (78.649)
Epoch: [58][5620/9018]	Time 0.615 (0.636)	Data 0.001 (0.003)	Loss 1.8090 (1.9983)	Prec@1 52.500 (48.267)	Prec@5 81.000 (78.648)
Epoch: [58][5630/9018]	Time 0.634 (0.636)	Data 0.001 (0.003)	Loss 1.8010 (1.9984)	Prec@1 54.500 (48.267)	Prec@5 82.000 (78.647)
Epoch: [58][5640/9018]	Time 0.634 (0.636)	Data 0.001 (0.003)	Loss 1.8759 (1.9984)	Prec@1 52.000 (48.264)	Prec@5 80.000 (78.648)
Epoch: [58][5650/9018]	Time 0.633 (0.636)	Data 0.001 (0.003)	Loss 1.9257 (1.9983)	Prec@1 52.500 (48.264)	Prec@5 79.000 (78.649)
Epoch: [58][5660/9018]	Time 0.765 (0.636)	Data 0.001 (0.003)	Loss 1.7103 (1.9982)	Prec@1 55.500 (48.266)	Prec@5 87.500 (78.650)
Epoch: [58][5670/9018]	Time 0.654 (0.636)	Data 0.001 (0.003)	Loss 1.8485 (1.9982)	Prec@1 48.000 (48.265)	Prec@5 81.500 (78.650)
Epoch: [58][5680/9018]	Time 0.613 (0.636)	Data 0.017 (0.003)	Loss 1.9562 (1.9982)	Prec@1 53.000 (48.264)	Prec@5 80.500 (78.651)
Epoch: [58][5690/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 2.0223 (1.9982)	Prec@1 49.500 (48.266)	Prec@5 77.500 (78.652)
Epoch: [58][5700/9018]	Time 0.608 (0.636)	Data 0.001 (0.003)	Loss 2.1048 (1.9982)	Prec@1 44.500 (48.264)	Prec@5 77.500 (78.652)
Epoch: [58][5710/9018]	Time 0.631 (0.636)	Data 0.015 (0.003)	Loss 1.9707 (1.9981)	Prec@1 46.500 (48.265)	Prec@5 78.500 (78.653)
Epoch: [58][5720/9018]	Time 0.646 (0.636)	Data 0.001 (0.003)	Loss 1.9980 (1.9981)	Prec@1 48.000 (48.266)	Prec@5 79.000 (78.654)
Epoch: [58][5730/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 1.9354 (1.9980)	Prec@1 49.000 (48.267)	Prec@5 76.500 (78.655)
Epoch: [58][5740/9018]	Time 0.628 (0.636)	Data 0.001 (0.003)	Loss 2.0466 (1.9981)	Prec@1 40.500 (48.264)	Prec@5 79.500 (78.654)
Epoch: [58][5750/9018]	Time 0.638 (0.636)	Data 0.001 (0.003)	Loss 1.8931 (1.9981)	Prec@1 53.500 (48.264)	Prec@5 81.500 (78.654)
Epoch: [58][5760/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 1.8694 (1.9982)	Prec@1 52.500 (48.264)	Prec@5 84.000 (78.652)
Epoch: [58][5770/9018]	Time 0.630 (0.636)	Data 0.001 (0.003)	Loss 1.9299 (1.9982)	Prec@1 52.000 (48.265)	Prec@5 80.000 (78.651)
Epoch: [58][5780/9018]	Time 0.604 (0.636)	Data 0.001 (0.003)	Loss 2.1129 (1.9982)	Prec@1 50.000 (48.266)	Prec@5 74.500 (78.651)
Epoch: [58][5790/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 2.0410 (1.9981)	Prec@1 49.000 (48.269)	Prec@5 75.000 (78.650)
Epoch: [58][5800/9018]	Time 0.640 (0.636)	Data 0.001 (0.003)	Loss 2.2817 (1.9981)	Prec@1 41.000 (48.269)	Prec@5 73.000 (78.652)
Epoch: [58][5810/9018]	Time 0.634 (0.636)	Data 0.001 (0.003)	Loss 2.0003 (1.9983)	Prec@1 45.500 (48.268)	Prec@5 78.500 (78.648)
Epoch: [58][5820/9018]	Time 0.615 (0.636)	Data 0.001 (0.003)	Loss 1.7726 (1.9983)	Prec@1 52.000 (48.267)	Prec@5 83.000 (78.648)
Epoch: [58][5830/9018]	Time 0.629 (0.636)	Data 0.001 (0.003)	Loss 1.8609 (1.9984)	Prec@1 49.000 (48.263)	Prec@5 78.000 (78.645)
Epoch: [58][5840/9018]	Time 0.626 (0.636)	Data 0.001 (0.003)	Loss 1.9644 (1.9984)	Prec@1 51.500 (48.263)	Prec@5 80.000 (78.645)
Epoch: [58][5850/9018]	Time 0.615 (0.636)	Data 0.001 (0.003)	Loss 1.9039 (1.9982)	Prec@1 51.500 (48.265)	Prec@5 81.000 (78.649)
Epoch: [58][5860/9018]	Time 0.604 (0.636)	Data 0.001 (0.003)	Loss 1.8696 (1.9981)	Prec@1 49.000 (48.268)	Prec@5 82.500 (78.653)
Epoch: [58][5870/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 1.8968 (1.9981)	Prec@1 50.500 (48.268)	Prec@5 79.500 (78.653)
Epoch: [58][5880/9018]	Time 0.602 (0.636)	Data 0.001 (0.003)	Loss 2.1778 (1.9981)	Prec@1 43.500 (48.267)	Prec@5 75.500 (78.653)
Epoch: [58][5890/9018]	Time 0.615 (0.636)	Data 0.001 (0.003)	Loss 2.0561 (1.9982)	Prec@1 50.000 (48.268)	Prec@5 79.000 (78.653)
Epoch: [58][5900/9018]	Time 0.614 (0.636)	Data 0.001 (0.003)	Loss 2.2731 (1.9982)	Prec@1 38.500 (48.270)	Prec@5 72.000 (78.651)
Epoch: [58][5910/9018]	Time 0.633 (0.636)	Data 0.001 (0.003)	Loss 2.2801 (1.9982)	Prec@1 43.500 (48.271)	Prec@5 79.000 (78.652)
Epoch: [58][5920/9018]	Time 0.629 (0.636)	Data 0.006 (0.003)	Loss 1.9736 (1.9982)	Prec@1 47.500 (48.269)	Prec@5 77.000 (78.651)
Epoch: [58][5930/9018]	Time 0.619 (0.636)	Data 0.016 (0.003)	Loss 2.0178 (1.9982)	Prec@1 49.000 (48.270)	Prec@5 78.000 (78.652)
Epoch: [58][5940/9018]	Time 0.770 (0.636)	Data 0.002 (0.003)	Loss 2.0820 (1.9981)	Prec@1 44.500 (48.271)	Prec@5 78.000 (78.654)
Epoch: [58][5950/9018]	Time 0.629 (0.636)	Data 0.017 (0.003)	Loss 2.1011 (1.9982)	Prec@1 48.500 (48.273)	Prec@5 74.500 (78.653)
Epoch: [58][5960/9018]	Time 0.639 (0.636)	Data 0.001 (0.003)	Loss 1.9410 (1.9981)	Prec@1 46.500 (48.272)	Prec@5 76.500 (78.655)
Epoch: [58][5970/9018]	Time 0.616 (0.636)	Data 0.001 (0.003)	Loss 1.9856 (1.9981)	Prec@1 51.000 (48.272)	Prec@5 75.500 (78.654)
Epoch: [58][5980/9018]	Time 0.639 (0.636)	Data 0.001 (0.003)	Loss 1.9996 (1.9981)	Prec@1 47.000 (48.272)	Prec@5 77.000 (78.653)
Epoch: [58][5990/9018]	Time 0.761 (0.636)	Data 0.014 (0.003)	Loss 2.0585 (1.9981)	Prec@1 45.500 (48.273)	Prec@5 75.000 (78.652)
Epoch: [58][6000/9018]	Time 0.640 (0.636)	Data 0.001 (0.003)	Loss 2.3387 (1.9982)	Prec@1 39.500 (48.270)	Prec@5 74.000 (78.651)
Epoch: [58][6010/9018]	Time 0.614 (0.636)	Data 0.017 (0.003)	Loss 1.8276 (1.9982)	Prec@1 49.000 (48.268)	Prec@5 86.500 (78.653)
Epoch: [58][6020/9018]	Time 0.612 (0.636)	Data 0.001 (0.003)	Loss 1.9439 (1.9982)	Prec@1 47.000 (48.269)	Prec@5 81.500 (78.654)
Epoch: [58][6030/9018]	Time 0.615 (0.636)	Data 0.001 (0.003)	Loss 2.1465 (1.9982)	Prec@1 46.000 (48.268)	Prec@5 76.500 (78.652)
Epoch: [58][6040/9018]	Time 0.635 (0.636)	Data 0.001 (0.003)	Loss 1.9894 (1.9982)	Prec@1 49.500 (48.266)	Prec@5 77.500 (78.652)
Epoch: [58][6050/9018]	Time 0.628 (0.636)	Data 0.016 (0.003)	Loss 1.8446 (1.9981)	Prec@1 46.000 (48.266)	Prec@5 79.000 (78.653)
Epoch: [58][6060/9018]	Time 0.635 (0.636)	Data 0.001 (0.003)	Loss 2.0623 (1.9981)	Prec@1 48.500 (48.267)	Prec@5 77.000 (78.654)
Epoch: [58][6070/9018]	Time 0.616 (0.636)	Data 0.004 (0.003)	Loss 1.9193 (1.9982)	Prec@1 49.000 (48.264)	Prec@5 79.500 (78.651)
Epoch: [58][6080/9018]	Time 0.629 (0.636)	Data 0.001 (0.003)	Loss 1.9594 (1.9982)	Prec@1 46.000 (48.262)	Prec@5 78.000 (78.650)
Epoch: [58][6090/9018]	Time 0.614 (0.636)	Data 0.001 (0.003)	Loss 1.8269 (1.9982)	Prec@1 52.500 (48.264)	Prec@5 85.500 (78.652)
Epoch: [58][6100/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 2.1927 (1.9983)	Prec@1 48.000 (48.262)	Prec@5 72.500 (78.651)
Epoch: [58][6110/9018]	Time 0.612 (0.636)	Data 0.001 (0.003)	Loss 1.8040 (1.9982)	Prec@1 54.000 (48.264)	Prec@5 81.000 (78.651)
Epoch: [58][6120/9018]	Time 0.641 (0.636)	Data 0.001 (0.003)	Loss 1.9319 (1.9983)	Prec@1 51.000 (48.264)	Prec@5 78.000 (78.650)
Epoch: [58][6130/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 2.1688 (1.9983)	Prec@1 45.000 (48.262)	Prec@5 72.500 (78.648)
Epoch: [58][6140/9018]	Time 0.617 (0.636)	Data 0.017 (0.003)	Loss 2.1365 (1.9983)	Prec@1 44.500 (48.263)	Prec@5 79.000 (78.649)
Epoch: [58][6150/9018]	Time 0.628 (0.636)	Data 0.001 (0.003)	Loss 2.0204 (1.9984)	Prec@1 49.500 (48.261)	Prec@5 77.500 (78.648)
Epoch: [58][6160/9018]	Time 0.635 (0.636)	Data 0.013 (0.003)	Loss 1.8527 (1.9983)	Prec@1 53.000 (48.261)	Prec@5 81.000 (78.649)
Epoch: [58][6170/9018]	Time 0.615 (0.636)	Data 0.001 (0.003)	Loss 1.8891 (1.9983)	Prec@1 49.000 (48.259)	Prec@5 82.500 (78.650)
Epoch: [58][6180/9018]	Time 0.619 (0.636)	Data 0.015 (0.003)	Loss 1.7542 (1.9982)	Prec@1 56.000 (48.261)	Prec@5 82.500 (78.652)
Epoch: [58][6190/9018]	Time 0.622 (0.636)	Data 0.001 (0.003)	Loss 2.0333 (1.9983)	Prec@1 48.000 (48.259)	Prec@5 77.000 (78.652)
Epoch: [58][6200/9018]	Time 0.630 (0.636)	Data 0.003 (0.003)	Loss 2.2337 (1.9983)	Prec@1 47.000 (48.262)	Prec@5 74.500 (78.652)
Epoch: [58][6210/9018]	Time 0.647 (0.636)	Data 0.015 (0.003)	Loss 2.0757 (1.9984)	Prec@1 46.500 (48.260)	Prec@5 78.500 (78.650)
Epoch: [58][6220/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 2.2488 (1.9985)	Prec@1 47.500 (48.258)	Prec@5 73.500 (78.648)
Epoch: [58][6230/9018]	Time 0.607 (0.636)	Data 0.001 (0.003)	Loss 2.1621 (1.9985)	Prec@1 42.500 (48.255)	Prec@5 78.500 (78.647)
Epoch: [58][6240/9018]	Time 0.626 (0.636)	Data 0.001 (0.003)	Loss 1.9646 (1.9987)	Prec@1 49.000 (48.252)	Prec@5 80.000 (78.644)
Epoch: [58][6250/9018]	Time 0.636 (0.636)	Data 0.009 (0.003)	Loss 1.9933 (1.9987)	Prec@1 47.500 (48.251)	Prec@5 78.500 (78.645)
Epoch: [58][6260/9018]	Time 0.623 (0.636)	Data 0.014 (0.003)	Loss 1.9104 (1.9986)	Prec@1 50.500 (48.251)	Prec@5 79.000 (78.645)
Epoch: [58][6270/9018]	Time 0.790 (0.636)	Data 0.002 (0.003)	Loss 1.9099 (1.9988)	Prec@1 48.500 (48.246)	Prec@5 81.000 (78.642)
Epoch: [58][6280/9018]	Time 0.624 (0.636)	Data 0.001 (0.003)	Loss 1.9926 (1.9988)	Prec@1 47.000 (48.246)	Prec@5 77.500 (78.642)
Epoch: [58][6290/9018]	Time 0.628 (0.636)	Data 0.001 (0.003)	Loss 2.1024 (1.9989)	Prec@1 46.500 (48.243)	Prec@5 79.000 (78.640)
Epoch: [58][6300/9018]	Time 0.648 (0.636)	Data 0.001 (0.003)	Loss 2.1237 (1.9990)	Prec@1 48.500 (48.243)	Prec@5 75.500 (78.639)
Epoch: [58][6310/9018]	Time 0.614 (0.636)	Data 0.001 (0.003)	Loss 1.8193 (1.9990)	Prec@1 50.000 (48.242)	Prec@5 81.500 (78.638)
Epoch: [58][6320/9018]	Time 0.756 (0.636)	Data 0.002 (0.003)	Loss 1.9896 (1.9990)	Prec@1 49.500 (48.241)	Prec@5 76.000 (78.639)
Epoch: [58][6330/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 2.0851 (1.9991)	Prec@1 44.000 (48.236)	Prec@5 76.000 (78.637)
Epoch: [58][6340/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 1.7909 (1.9992)	Prec@1 48.500 (48.233)	Prec@5 82.000 (78.637)
Epoch: [58][6350/9018]	Time 0.610 (0.636)	Data 0.001 (0.003)	Loss 1.7901 (1.9992)	Prec@1 55.500 (48.232)	Prec@5 83.500 (78.636)
Epoch: [58][6360/9018]	Time 0.650 (0.636)	Data 0.001 (0.003)	Loss 1.9162 (1.9992)	Prec@1 52.500 (48.230)	Prec@5 79.500 (78.636)
Epoch: [58][6370/9018]	Time 0.622 (0.636)	Data 0.016 (0.003)	Loss 2.0100 (1.9991)	Prec@1 50.000 (48.231)	Prec@5 74.500 (78.637)
Epoch: [58][6380/9018]	Time 0.635 (0.636)	Data 0.014 (0.003)	Loss 2.1651 (1.9991)	Prec@1 41.500 (48.230)	Prec@5 75.500 (78.639)
Epoch: [58][6390/9018]	Time 0.650 (0.636)	Data 0.015 (0.003)	Loss 2.0395 (1.9991)	Prec@1 52.500 (48.233)	Prec@5 77.000 (78.640)
Epoch: [58][6400/9018]	Time 0.624 (0.636)	Data 0.001 (0.003)	Loss 2.0815 (1.9991)	Prec@1 49.000 (48.231)	Prec@5 77.000 (78.639)
Epoch: [58][6410/9018]	Time 0.650 (0.636)	Data 0.001 (0.003)	Loss 1.9705 (1.9991)	Prec@1 46.500 (48.234)	Prec@5 79.000 (78.640)
Epoch: [58][6420/9018]	Time 0.611 (0.636)	Data 0.001 (0.003)	Loss 2.0162 (1.9991)	Prec@1 47.000 (48.235)	Prec@5 83.000 (78.640)
Epoch: [58][6430/9018]	Time 0.628 (0.636)	Data 0.005 (0.003)	Loss 1.8834 (1.9991)	Prec@1 51.500 (48.234)	Prec@5 81.000 (78.640)
Epoch: [58][6440/9018]	Time 0.636 (0.636)	Data 0.001 (0.003)	Loss 2.3203 (1.9993)	Prec@1 45.000 (48.232)	Prec@5 73.000 (78.637)
Epoch: [58][6450/9018]	Time 0.635 (0.636)	Data 0.001 (0.003)	Loss 1.9445 (1.9994)	Prec@1 53.500 (48.230)	Prec@5 79.000 (78.635)
Epoch: [58][6460/9018]	Time 0.608 (0.636)	Data 0.001 (0.003)	Loss 1.8656 (1.9994)	Prec@1 53.000 (48.230)	Prec@5 82.000 (78.635)
Epoch: [58][6470/9018]	Time 0.633 (0.636)	Data 0.001 (0.003)	Loss 1.8084 (1.9995)	Prec@1 48.000 (48.230)	Prec@5 81.500 (78.632)
Epoch: [58][6480/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 2.0000 (1.9995)	Prec@1 51.000 (48.230)	Prec@5 80.000 (78.631)
Epoch: [58][6490/9018]	Time 0.613 (0.636)	Data 0.001 (0.003)	Loss 1.8241 (1.9995)	Prec@1 49.000 (48.230)	Prec@5 81.500 (78.630)
Epoch: [58][6500/9018]	Time 0.639 (0.636)	Data 0.001 (0.003)	Loss 2.0544 (1.9995)	Prec@1 45.000 (48.228)	Prec@5 78.000 (78.628)
Epoch: [58][6510/9018]	Time 0.629 (0.636)	Data 0.006 (0.003)	Loss 2.1618 (1.9995)	Prec@1 45.500 (48.229)	Prec@5 76.000 (78.628)
Epoch: [58][6520/9018]	Time 0.653 (0.636)	Data 0.001 (0.003)	Loss 2.1058 (1.9995)	Prec@1 45.500 (48.229)	Prec@5 76.500 (78.628)
Epoch: [58][6530/9018]	Time 0.637 (0.636)	Data 0.001 (0.003)	Loss 1.8280 (1.9996)	Prec@1 55.000 (48.228)	Prec@5 80.000 (78.627)
Epoch: [58][6540/9018]	Time 0.630 (0.636)	Data 0.001 (0.003)	Loss 1.6790 (1.9995)	Prec@1 52.000 (48.229)	Prec@5 86.000 (78.628)
Epoch: [58][6550/9018]	Time 0.645 (0.636)	Data 0.017 (0.003)	Loss 2.0102 (1.9995)	Prec@1 47.000 (48.229)	Prec@5 77.500 (78.629)
Epoch: [58][6560/9018]	Time 0.620 (0.636)	Data 0.020 (0.003)	Loss 2.0812 (1.9995)	Prec@1 45.500 (48.229)	Prec@5 76.000 (78.629)
Epoch: [58][6570/9018]	Time 0.635 (0.636)	Data 0.007 (0.003)	Loss 1.9333 (1.9995)	Prec@1 50.000 (48.229)	Prec@5 81.500 (78.629)
Epoch: [58][6580/9018]	Time 0.647 (0.636)	Data 0.001 (0.003)	Loss 2.3258 (1.9996)	Prec@1 40.500 (48.228)	Prec@5 76.500 (78.630)
Epoch: [58][6590/9018]	Time 0.616 (0.636)	Data 0.001 (0.003)	Loss 2.0386 (1.9996)	Prec@1 48.500 (48.228)	Prec@5 79.500 (78.628)
Epoch: [58][6600/9018]	Time 0.791 (0.636)	Data 0.001 (0.003)	Loss 2.1854 (1.9997)	Prec@1 44.000 (48.227)	Prec@5 78.000 (78.629)
Epoch: [58][6610/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 1.9698 (1.9997)	Prec@1 48.500 (48.228)	Prec@5 77.000 (78.628)
Epoch: [58][6620/9018]	Time 0.650 (0.636)	Data 0.001 (0.003)	Loss 1.8297 (1.9998)	Prec@1 50.500 (48.226)	Prec@5 85.500 (78.628)
Epoch: [58][6630/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 1.8062 (1.9998)	Prec@1 54.500 (48.224)	Prec@5 80.000 (78.627)
Epoch: [58][6640/9018]	Time 0.621 (0.636)	Data 0.001 (0.003)	Loss 1.8869 (1.9998)	Prec@1 52.500 (48.225)	Prec@5 80.500 (78.627)
Epoch: [58][6650/9018]	Time 0.800 (0.636)	Data 0.016 (0.003)	Loss 1.8928 (1.9999)	Prec@1 48.500 (48.222)	Prec@5 80.500 (78.626)
Epoch: [58][6660/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 1.9403 (1.9998)	Prec@1 51.500 (48.226)	Prec@5 82.500 (78.629)
Epoch: [58][6670/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 1.9115 (1.9998)	Prec@1 49.500 (48.226)	Prec@5 80.000 (78.630)
Epoch: [58][6680/9018]	Time 0.628 (0.636)	Data 0.001 (0.003)	Loss 1.9187 (1.9997)	Prec@1 49.000 (48.228)	Prec@5 82.000 (78.632)
Epoch: [58][6690/9018]	Time 0.615 (0.636)	Data 0.001 (0.003)	Loss 1.8574 (1.9997)	Prec@1 52.000 (48.226)	Prec@5 82.000 (78.631)
Epoch: [58][6700/9018]	Time 0.637 (0.636)	Data 0.001 (0.003)	Loss 2.2672 (1.9998)	Prec@1 44.500 (48.227)	Prec@5 72.000 (78.630)
Epoch: [58][6710/9018]	Time 0.615 (0.636)	Data 0.001 (0.003)	Loss 1.9014 (1.9999)	Prec@1 45.000 (48.224)	Prec@5 81.500 (78.629)
Epoch: [58][6720/9018]	Time 0.624 (0.636)	Data 0.001 (0.003)	Loss 2.0427 (1.9999)	Prec@1 45.500 (48.223)	Prec@5 78.000 (78.627)
Epoch: [58][6730/9018]	Time 0.612 (0.636)	Data 0.001 (0.003)	Loss 2.0397 (2.0000)	Prec@1 44.500 (48.222)	Prec@5 76.500 (78.625)
Epoch: [58][6740/9018]	Time 0.627 (0.636)	Data 0.014 (0.003)	Loss 1.7999 (2.0000)	Prec@1 47.500 (48.222)	Prec@5 84.500 (78.625)
Epoch: [58][6750/9018]	Time 0.633 (0.636)	Data 0.009 (0.003)	Loss 1.8668 (2.0000)	Prec@1 49.500 (48.222)	Prec@5 81.500 (78.623)
Epoch: [58][6760/9018]	Time 0.633 (0.636)	Data 0.001 (0.003)	Loss 2.0591 (2.0000)	Prec@1 46.500 (48.222)	Prec@5 77.500 (78.624)
Epoch: [58][6770/9018]	Time 0.611 (0.636)	Data 0.001 (0.003)	Loss 2.0036 (2.0001)	Prec@1 44.500 (48.221)	Prec@5 80.000 (78.624)
Epoch: [58][6780/9018]	Time 0.641 (0.636)	Data 0.001 (0.003)	Loss 2.0158 (2.0000)	Prec@1 46.500 (48.223)	Prec@5 77.000 (78.624)
Epoch: [58][6790/9018]	Time 0.612 (0.636)	Data 0.001 (0.003)	Loss 1.8104 (2.0001)	Prec@1 56.000 (48.222)	Prec@5 80.500 (78.623)
Epoch: [58][6800/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 2.0588 (2.0002)	Prec@1 46.500 (48.220)	Prec@5 78.500 (78.621)
Epoch: [58][6810/9018]	Time 0.628 (0.636)	Data 0.005 (0.003)	Loss 1.8850 (2.0002)	Prec@1 56.000 (48.221)	Prec@5 81.000 (78.621)
Epoch: [58][6820/9018]	Time 0.645 (0.636)	Data 0.005 (0.003)	Loss 1.7776 (2.0002)	Prec@1 54.500 (48.223)	Prec@5 86.500 (78.622)
Epoch: [58][6830/9018]	Time 0.615 (0.636)	Data 0.015 (0.003)	Loss 2.0164 (2.0002)	Prec@1 46.500 (48.224)	Prec@5 79.500 (78.623)
Epoch: [58][6840/9018]	Time 0.639 (0.636)	Data 0.001 (0.003)	Loss 2.0693 (2.0002)	Prec@1 48.000 (48.222)	Prec@5 76.000 (78.622)
Epoch: [58][6850/9018]	Time 0.613 (0.636)	Data 0.001 (0.003)	Loss 2.0858 (2.0001)	Prec@1 44.000 (48.224)	Prec@5 80.000 (78.625)
Epoch: [58][6860/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 2.0270 (2.0002)	Prec@1 46.500 (48.224)	Prec@5 78.000 (78.624)
Epoch: [58][6870/9018]	Time 0.622 (0.636)	Data 0.001 (0.003)	Loss 1.9999 (2.0003)	Prec@1 47.000 (48.223)	Prec@5 79.500 (78.623)
Epoch: [58][6880/9018]	Time 0.613 (0.636)	Data 0.001 (0.003)	Loss 1.7793 (2.0003)	Prec@1 52.000 (48.223)	Prec@5 82.000 (78.622)
Epoch: [58][6890/9018]	Time 0.635 (0.636)	Data 0.001 (0.003)	Loss 2.0111 (2.0003)	Prec@1 50.000 (48.223)	Prec@5 75.500 (78.621)
Epoch: [58][6900/9018]	Time 0.622 (0.636)	Data 0.001 (0.003)	Loss 2.0719 (2.0003)	Prec@1 51.000 (48.224)	Prec@5 76.000 (78.621)
Epoch: [58][6910/9018]	Time 0.626 (0.636)	Data 0.001 (0.003)	Loss 1.8718 (2.0004)	Prec@1 51.000 (48.221)	Prec@5 84.500 (78.621)
Epoch: [58][6920/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 1.9024 (2.0004)	Prec@1 49.000 (48.222)	Prec@5 79.500 (78.622)
Epoch: [58][6930/9018]	Time 0.746 (0.636)	Data 0.001 (0.003)	Loss 1.9688 (2.0004)	Prec@1 49.000 (48.222)	Prec@5 79.000 (78.621)
Epoch: [58][6940/9018]	Time 0.605 (0.636)	Data 0.001 (0.003)	Loss 1.8461 (2.0004)	Prec@1 50.500 (48.222)	Prec@5 82.000 (78.622)
Epoch: [58][6950/9018]	Time 0.631 (0.636)	Data 0.001 (0.003)	Loss 1.8358 (2.0004)	Prec@1 51.500 (48.223)	Prec@5 84.500 (78.622)
Epoch: [58][6960/9018]	Time 0.637 (0.636)	Data 0.001 (0.003)	Loss 2.1213 (2.0004)	Prec@1 44.500 (48.220)	Prec@5 75.500 (78.622)
Epoch: [58][6970/9018]	Time 0.626 (0.636)	Data 0.013 (0.003)	Loss 1.8916 (2.0004)	Prec@1 46.000 (48.220)	Prec@5 81.500 (78.623)
Epoch: [58][6980/9018]	Time 0.772 (0.636)	Data 0.015 (0.003)	Loss 2.0684 (2.0003)	Prec@1 46.000 (48.221)	Prec@5 76.000 (78.623)
Epoch: [58][6990/9018]	Time 0.629 (0.636)	Data 0.001 (0.003)	Loss 2.1875 (2.0004)	Prec@1 49.500 (48.221)	Prec@5 75.500 (78.623)
Epoch: [58][7000/9018]	Time 0.612 (0.636)	Data 0.014 (0.003)	Loss 1.8436 (2.0004)	Prec@1 51.500 (48.222)	Prec@5 81.000 (78.623)
Epoch: [58][7010/9018]	Time 0.630 (0.636)	Data 0.001 (0.003)	Loss 2.2163 (2.0004)	Prec@1 46.500 (48.221)	Prec@5 76.500 (78.622)
Epoch: [58][7020/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 2.0794 (2.0005)	Prec@1 46.000 (48.217)	Prec@5 76.500 (78.619)
Epoch: [58][7030/9018]	Time 0.605 (0.636)	Data 0.001 (0.003)	Loss 2.2566 (2.0006)	Prec@1 45.500 (48.218)	Prec@5 71.500 (78.618)
Epoch: [58][7040/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 1.9090 (2.0006)	Prec@1 48.000 (48.218)	Prec@5 80.500 (78.617)
Epoch: [58][7050/9018]	Time 0.601 (0.636)	Data 0.001 (0.003)	Loss 2.0046 (2.0006)	Prec@1 49.500 (48.218)	Prec@5 80.500 (78.615)
Epoch: [58][7060/9018]	Time 0.633 (0.636)	Data 0.001 (0.003)	Loss 1.9579 (2.0005)	Prec@1 45.500 (48.220)	Prec@5 82.000 (78.618)
Epoch: [58][7070/9018]	Time 0.622 (0.636)	Data 0.001 (0.003)	Loss 1.8400 (2.0006)	Prec@1 54.000 (48.219)	Prec@5 81.500 (78.616)
Epoch: [58][7080/9018]	Time 0.626 (0.636)	Data 0.001 (0.003)	Loss 1.9887 (2.0006)	Prec@1 51.000 (48.220)	Prec@5 77.500 (78.615)
Epoch: [58][7090/9018]	Time 0.630 (0.636)	Data 0.015 (0.003)	Loss 2.0421 (2.0006)	Prec@1 51.500 (48.221)	Prec@5 75.000 (78.614)
Epoch: [58][7100/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 2.1940 (2.0006)	Prec@1 48.000 (48.220)	Prec@5 75.000 (78.613)
Epoch: [58][7110/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 1.8973 (2.0007)	Prec@1 54.500 (48.219)	Prec@5 80.000 (78.613)
Epoch: [58][7120/9018]	Time 0.627 (0.636)	Data 0.016 (0.003)	Loss 2.1346 (2.0006)	Prec@1 43.000 (48.218)	Prec@5 80.000 (78.613)
Epoch: [58][7130/9018]	Time 0.623 (0.636)	Data 0.001 (0.003)	Loss 2.1194 (2.0008)	Prec@1 49.000 (48.216)	Prec@5 75.000 (78.611)
Epoch: [58][7140/9018]	Time 0.644 (0.636)	Data 0.001 (0.003)	Loss 1.8451 (2.0007)	Prec@1 50.500 (48.218)	Prec@5 80.500 (78.613)
Epoch: [58][7150/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 1.8310 (2.0007)	Prec@1 52.000 (48.220)	Prec@5 80.000 (78.614)
Epoch: [58][7160/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 1.9922 (2.0007)	Prec@1 46.500 (48.218)	Prec@5 79.500 (78.612)
Epoch: [58][7170/9018]	Time 0.630 (0.636)	Data 0.012 (0.003)	Loss 2.1465 (2.0007)	Prec@1 48.000 (48.219)	Prec@5 76.000 (78.614)
Epoch: [58][7180/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 1.8438 (2.0007)	Prec@1 47.000 (48.220)	Prec@5 80.500 (78.614)
Epoch: [58][7190/9018]	Time 0.679 (0.636)	Data 0.001 (0.003)	Loss 1.8968 (2.0007)	Prec@1 53.000 (48.220)	Prec@5 80.000 (78.613)
Epoch: [58][7200/9018]	Time 0.623 (0.636)	Data 0.001 (0.003)	Loss 2.0095 (2.0007)	Prec@1 47.500 (48.221)	Prec@5 76.000 (78.613)
Epoch: [58][7210/9018]	Time 0.621 (0.636)	Data 0.001 (0.003)	Loss 1.9476 (2.0006)	Prec@1 45.000 (48.220)	Prec@5 82.000 (78.615)
Epoch: [58][7220/9018]	Time 0.638 (0.636)	Data 0.001 (0.003)	Loss 2.1139 (2.0006)	Prec@1 47.500 (48.221)	Prec@5 76.500 (78.614)
Epoch: [58][7230/9018]	Time 0.611 (0.636)	Data 0.001 (0.003)	Loss 1.9592 (2.0007)	Prec@1 48.500 (48.218)	Prec@5 79.000 (78.614)
Epoch: [58][7240/9018]	Time 0.616 (0.636)	Data 0.001 (0.003)	Loss 1.9831 (2.0007)	Prec@1 45.000 (48.216)	Prec@5 81.000 (78.613)
Epoch: [58][7250/9018]	Time 0.614 (0.636)	Data 0.001 (0.003)	Loss 2.0115 (2.0008)	Prec@1 46.500 (48.216)	Prec@5 78.500 (78.612)
Epoch: [58][7260/9018]	Time 0.760 (0.636)	Data 0.001 (0.003)	Loss 2.1157 (2.0008)	Prec@1 46.500 (48.216)	Prec@5 79.000 (78.612)
Epoch: [58][7270/9018]	Time 0.647 (0.636)	Data 0.001 (0.003)	Loss 1.9940 (2.0009)	Prec@1 49.000 (48.214)	Prec@5 76.500 (78.611)
Epoch: [58][7280/9018]	Time 0.631 (0.636)	Data 0.001 (0.003)	Loss 2.0298 (2.0010)	Prec@1 48.000 (48.214)	Prec@5 79.000 (78.610)
Epoch: [58][7290/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 1.8848 (2.0010)	Prec@1 53.000 (48.215)	Prec@5 80.000 (78.610)
Epoch: [58][7300/9018]	Time 0.623 (0.636)	Data 0.001 (0.003)	Loss 2.1310 (2.0010)	Prec@1 43.500 (48.214)	Prec@5 74.500 (78.610)
Epoch: [58][7310/9018]	Time 0.791 (0.636)	Data 0.001 (0.003)	Loss 2.0698 (2.0009)	Prec@1 45.500 (48.215)	Prec@5 79.500 (78.610)
Epoch: [58][7320/9018]	Time 0.628 (0.636)	Data 0.001 (0.003)	Loss 2.0106 (2.0009)	Prec@1 49.500 (48.216)	Prec@5 80.000 (78.611)
Epoch: [58][7330/9018]	Time 0.625 (0.636)	Data 0.014 (0.003)	Loss 1.6291 (2.0009)	Prec@1 53.000 (48.216)	Prec@5 85.000 (78.612)
Epoch: [58][7340/9018]	Time 0.645 (0.636)	Data 0.013 (0.003)	Loss 1.9427 (2.0009)	Prec@1 50.000 (48.217)	Prec@5 79.500 (78.612)
Epoch: [58][7350/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 1.9729 (2.0009)	Prec@1 51.500 (48.218)	Prec@5 76.500 (78.612)
Epoch: [58][7360/9018]	Time 0.620 (0.636)	Data 0.001 (0.003)	Loss 1.9281 (2.0010)	Prec@1 44.500 (48.216)	Prec@5 78.000 (78.611)
Epoch: [58][7370/9018]	Time 0.616 (0.636)	Data 0.001 (0.003)	Loss 2.0560 (2.0010)	Prec@1 49.500 (48.217)	Prec@5 77.500 (78.608)
Epoch: [58][7380/9018]	Time 0.602 (0.636)	Data 0.001 (0.003)	Loss 2.0099 (2.0011)	Prec@1 47.500 (48.219)	Prec@5 76.000 (78.607)
Epoch: [58][7390/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 1.9152 (2.0011)	Prec@1 48.000 (48.217)	Prec@5 78.500 (78.607)
Epoch: [58][7400/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 2.1382 (2.0012)	Prec@1 46.000 (48.214)	Prec@5 72.500 (78.606)
Epoch: [58][7410/9018]	Time 0.621 (0.636)	Data 0.001 (0.003)	Loss 2.1210 (2.0012)	Prec@1 42.500 (48.213)	Prec@5 78.000 (78.606)
Epoch: [58][7420/9018]	Time 0.623 (0.636)	Data 0.001 (0.003)	Loss 1.8663 (2.0012)	Prec@1 51.000 (48.215)	Prec@5 83.500 (78.608)
Epoch: [58][7430/9018]	Time 0.620 (0.636)	Data 0.028 (0.003)	Loss 2.0629 (2.0013)	Prec@1 46.500 (48.215)	Prec@5 79.500 (78.606)
Epoch: [58][7440/9018]	Time 0.625 (0.636)	Data 0.001 (0.003)	Loss 1.9299 (2.0012)	Prec@1 51.500 (48.215)	Prec@5 78.000 (78.606)
Epoch: [58][7450/9018]	Time 0.596 (0.636)	Data 0.001 (0.003)	Loss 2.1407 (2.0013)	Prec@1 43.000 (48.213)	Prec@5 75.500 (78.604)
Epoch: [58][7460/9018]	Time 0.646 (0.636)	Data 0.001 (0.003)	Loss 2.0659 (2.0013)	Prec@1 48.000 (48.212)	Prec@5 76.500 (78.601)
Epoch: [58][7470/9018]	Time 0.613 (0.636)	Data 0.001 (0.003)	Loss 1.9821 (2.0014)	Prec@1 47.000 (48.213)	Prec@5 78.500 (78.600)
Epoch: [58][7480/9018]	Time 0.629 (0.636)	Data 0.001 (0.003)	Loss 1.9234 (2.0014)	Prec@1 51.000 (48.211)	Prec@5 78.000 (78.598)
Epoch: [58][7490/9018]	Time 0.629 (0.636)	Data 0.001 (0.003)	Loss 2.1596 (2.0015)	Prec@1 47.000 (48.208)	Prec@5 75.000 (78.596)
Epoch: [58][7500/9018]	Time 0.630 (0.636)	Data 0.001 (0.003)	Loss 1.9637 (2.0015)	Prec@1 49.000 (48.209)	Prec@5 81.500 (78.598)
Epoch: [58][7510/9018]	Time 0.633 (0.636)	Data 0.003 (0.003)	Loss 1.9777 (2.0015)	Prec@1 51.000 (48.208)	Prec@5 78.500 (78.598)
Epoch: [58][7520/9018]	Time 0.620 (0.636)	Data 0.001 (0.003)	Loss 2.0433 (2.0015)	Prec@1 46.500 (48.208)	Prec@5 80.000 (78.598)
Epoch: [58][7530/9018]	Time 0.635 (0.636)	Data 0.001 (0.003)	Loss 2.0920 (2.0015)	Prec@1 47.500 (48.209)	Prec@5 75.500 (78.596)
Epoch: [58][7540/9018]	Time 0.640 (0.636)	Data 0.001 (0.003)	Loss 2.0540 (2.0015)	Prec@1 42.000 (48.208)	Prec@5 77.500 (78.595)
Epoch: [58][7550/9018]	Time 0.629 (0.636)	Data 0.001 (0.003)	Loss 1.7929 (2.0016)	Prec@1 54.500 (48.207)	Prec@5 82.500 (78.593)
Epoch: [58][7560/9018]	Time 0.609 (0.636)	Data 0.001 (0.003)	Loss 2.0694 (2.0017)	Prec@1 51.500 (48.206)	Prec@5 73.000 (78.592)
Epoch: [58][7570/9018]	Time 0.635 (0.636)	Data 0.001 (0.003)	Loss 1.9757 (2.0018)	Prec@1 52.000 (48.205)	Prec@5 77.000 (78.591)
Epoch: [58][7580/9018]	Time 0.637 (0.636)	Data 0.001 (0.003)	Loss 2.2937 (2.0019)	Prec@1 41.000 (48.204)	Prec@5 70.500 (78.589)
Epoch: [58][7590/9018]	Time 0.772 (0.636)	Data 0.001 (0.003)	Loss 2.1245 (2.0019)	Prec@1 44.000 (48.203)	Prec@5 75.500 (78.587)
Epoch: [58][7600/9018]	Time 0.627 (0.636)	Data 0.015 (0.003)	Loss 2.0758 (2.0020)	Prec@1 45.500 (48.202)	Prec@5 76.000 (78.585)
Epoch: [58][7610/9018]	Time 0.629 (0.636)	Data 0.001 (0.003)	Loss 2.1524 (2.0021)	Prec@1 45.000 (48.201)	Prec@5 74.500 (78.584)
Epoch: [58][7620/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 1.9589 (2.0021)	Prec@1 51.000 (48.201)	Prec@5 80.000 (78.582)
Epoch: [58][7630/9018]	Time 0.646 (0.636)	Data 0.001 (0.003)	Loss 1.8519 (2.0021)	Prec@1 51.000 (48.201)	Prec@5 81.500 (78.582)
Epoch: [58][7640/9018]	Time 0.774 (0.636)	Data 0.005 (0.003)	Loss 2.0072 (2.0021)	Prec@1 49.000 (48.201)	Prec@5 79.500 (78.582)
Epoch: [58][7650/9018]	Time 0.634 (0.636)	Data 0.001 (0.003)	Loss 1.9322 (2.0022)	Prec@1 46.000 (48.201)	Prec@5 78.500 (78.580)
Epoch: [58][7660/9018]	Time 0.638 (0.636)	Data 0.001 (0.003)	Loss 1.9617 (2.0021)	Prec@1 53.500 (48.202)	Prec@5 82.000 (78.580)
Epoch: [58][7670/9018]	Time 0.641 (0.636)	Data 0.001 (0.003)	Loss 1.8286 (2.0022)	Prec@1 51.500 (48.201)	Prec@5 81.500 (78.580)
Epoch: [58][7680/9018]	Time 0.637 (0.636)	Data 0.017 (0.003)	Loss 2.1986 (2.0023)	Prec@1 43.000 (48.198)	Prec@5 73.500 (78.578)
Epoch: [58][7690/9018]	Time 0.617 (0.636)	Data 0.001 (0.003)	Loss 2.1999 (2.0024)	Prec@1 42.500 (48.197)	Prec@5 74.500 (78.577)
Epoch: [58][7700/9018]	Time 0.621 (0.636)	Data 0.001 (0.003)	Loss 1.8445 (2.0024)	Prec@1 50.500 (48.196)	Prec@5 81.000 (78.575)
Epoch: [58][7710/9018]	Time 0.620 (0.636)	Data 0.013 (0.003)	Loss 1.8357 (2.0024)	Prec@1 51.500 (48.197)	Prec@5 81.500 (78.576)
Epoch: [58][7720/9018]	Time 0.616 (0.636)	Data 0.015 (0.003)	Loss 1.8882 (2.0024)	Prec@1 49.500 (48.197)	Prec@5 83.500 (78.576)
Epoch: [58][7730/9018]	Time 0.642 (0.636)	Data 0.009 (0.003)	Loss 1.9358 (2.0024)	Prec@1 52.500 (48.196)	Prec@5 79.500 (78.576)
Epoch: [58][7740/9018]	Time 0.600 (0.636)	Data 0.001 (0.003)	Loss 1.9446 (2.0025)	Prec@1 48.500 (48.193)	Prec@5 79.000 (78.576)
Epoch: [58][7750/9018]	Time 0.630 (0.636)	Data 0.007 (0.003)	Loss 1.9697 (2.0025)	Prec@1 48.000 (48.192)	Prec@5 80.000 (78.575)
Epoch: [58][7760/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 1.8860 (2.0025)	Prec@1 48.500 (48.190)	Prec@5 82.000 (78.577)
Epoch: [58][7770/9018]	Time 0.622 (0.636)	Data 0.015 (0.003)	Loss 2.2216 (2.0026)	Prec@1 44.000 (48.190)	Prec@5 75.000 (78.575)
Epoch: [58][7780/9018]	Time 0.609 (0.636)	Data 0.001 (0.003)	Loss 1.8538 (2.0026)	Prec@1 45.000 (48.188)	Prec@5 82.500 (78.573)
Epoch: [58][7790/9018]	Time 0.611 (0.636)	Data 0.001 (0.003)	Loss 2.0320 (2.0027)	Prec@1 46.500 (48.188)	Prec@5 77.000 (78.572)
Epoch: [58][7800/9018]	Time 0.616 (0.636)	Data 0.001 (0.003)	Loss 1.6612 (2.0026)	Prec@1 58.000 (48.190)	Prec@5 84.000 (78.574)
Epoch: [58][7810/9018]	Time 0.629 (0.636)	Data 0.001 (0.003)	Loss 2.1619 (2.0026)	Prec@1 44.000 (48.190)	Prec@5 76.500 (78.575)
Epoch: [58][7820/9018]	Time 0.623 (0.636)	Data 0.001 (0.003)	Loss 2.0700 (2.0027)	Prec@1 46.000 (48.188)	Prec@5 77.500 (78.574)
Epoch: [58][7830/9018]	Time 0.614 (0.636)	Data 0.001 (0.003)	Loss 2.1003 (2.0028)	Prec@1 44.500 (48.188)	Prec@5 74.000 (78.571)
Epoch: [58][7840/9018]	Time 0.623 (0.636)	Data 0.001 (0.003)	Loss 2.1085 (2.0029)	Prec@1 44.000 (48.184)	Prec@5 76.000 (78.569)
Epoch: [58][7850/9018]	Time 0.613 (0.636)	Data 0.001 (0.003)	Loss 2.0127 (2.0029)	Prec@1 50.000 (48.183)	Prec@5 77.000 (78.569)
Epoch: [58][7860/9018]	Time 0.636 (0.636)	Data 0.016 (0.003)	Loss 2.0671 (2.0030)	Prec@1 46.000 (48.182)	Prec@5 76.500 (78.567)
Epoch: [58][7870/9018]	Time 0.748 (0.636)	Data 0.014 (0.003)	Loss 2.1346 (2.0030)	Prec@1 44.000 (48.182)	Prec@5 81.000 (78.567)
Epoch: [58][7880/9018]	Time 0.630 (0.636)	Data 0.001 (0.003)	Loss 2.0309 (2.0030)	Prec@1 46.000 (48.182)	Prec@5 79.000 (78.567)
Epoch: [58][7890/9018]	Time 0.611 (0.636)	Data 0.007 (0.003)	Loss 1.8107 (2.0030)	Prec@1 52.500 (48.181)	Prec@5 81.000 (78.566)
Epoch: [58][7900/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 1.9909 (2.0029)	Prec@1 48.000 (48.184)	Prec@5 78.500 (78.568)
Epoch: [58][7910/9018]	Time 0.623 (0.636)	Data 0.001 (0.003)	Loss 2.0282 (2.0030)	Prec@1 45.500 (48.183)	Prec@5 76.500 (78.567)
Epoch: [58][7920/9018]	Time 0.742 (0.636)	Data 0.016 (0.003)	Loss 2.1230 (2.0029)	Prec@1 51.000 (48.185)	Prec@5 78.500 (78.568)
Epoch: [58][7930/9018]	Time 0.622 (0.636)	Data 0.004 (0.003)	Loss 2.1748 (2.0030)	Prec@1 47.500 (48.184)	Prec@5 72.500 (78.566)
Epoch: [58][7940/9018]	Time 0.631 (0.636)	Data 0.015 (0.003)	Loss 2.2064 (2.0030)	Prec@1 41.500 (48.182)	Prec@5 74.500 (78.564)
Epoch: [58][7950/9018]	Time 0.634 (0.636)	Data 0.001 (0.003)	Loss 2.1431 (2.0030)	Prec@1 45.500 (48.183)	Prec@5 76.500 (78.566)
Epoch: [58][7960/9018]	Time 0.643 (0.636)	Data 0.001 (0.003)	Loss 1.7941 (2.0029)	Prec@1 53.500 (48.184)	Prec@5 82.500 (78.568)
Epoch: [58][7970/9018]	Time 0.628 (0.636)	Data 0.001 (0.003)	Loss 1.9884 (2.0029)	Prec@1 46.500 (48.183)	Prec@5 77.500 (78.567)
Epoch: [58][7980/9018]	Time 0.631 (0.636)	Data 0.001 (0.003)	Loss 1.8730 (2.0029)	Prec@1 53.500 (48.183)	Prec@5 79.000 (78.567)
Epoch: [58][7990/9018]	Time 0.630 (0.636)	Data 0.001 (0.003)	Loss 1.8685 (2.0029)	Prec@1 47.500 (48.181)	Prec@5 81.500 (78.568)
Epoch: [58][8000/9018]	Time 0.629 (0.636)	Data 0.015 (0.003)	Loss 1.9168 (2.0029)	Prec@1 54.000 (48.181)	Prec@5 80.500 (78.569)
Epoch: [58][8010/9018]	Time 0.608 (0.636)	Data 0.013 (0.003)	Loss 2.0304 (2.0029)	Prec@1 46.500 (48.181)	Prec@5 80.500 (78.568)
Epoch: [58][8020/9018]	Time 0.611 (0.636)	Data 0.014 (0.003)	Loss 1.9203 (2.0030)	Prec@1 50.500 (48.181)	Prec@5 80.500 (78.568)
Epoch: [58][8030/9018]	Time 0.619 (0.636)	Data 0.010 (0.003)	Loss 2.1241 (2.0030)	Prec@1 43.000 (48.181)	Prec@5 78.500 (78.569)
Epoch: [58][8040/9018]	Time 0.631 (0.636)	Data 0.001 (0.003)	Loss 1.9225 (2.0029)	Prec@1 48.000 (48.181)	Prec@5 81.000 (78.570)
Epoch: [58][8050/9018]	Time 0.613 (0.636)	Data 0.016 (0.003)	Loss 1.8910 (2.0030)	Prec@1 51.500 (48.181)	Prec@5 81.000 (78.569)
Epoch: [58][8060/9018]	Time 0.610 (0.636)	Data 0.001 (0.003)	Loss 1.8521 (2.0029)	Prec@1 51.000 (48.180)	Prec@5 79.500 (78.571)
Epoch: [58][8070/9018]	Time 0.623 (0.636)	Data 0.001 (0.003)	Loss 1.9126 (2.0029)	Prec@1 49.500 (48.182)	Prec@5 78.500 (78.572)
Epoch: [58][8080/9018]	Time 0.632 (0.636)	Data 0.014 (0.003)	Loss 2.1368 (2.0029)	Prec@1 46.500 (48.180)	Prec@5 76.000 (78.572)
Epoch: [58][8090/9018]	Time 0.608 (0.636)	Data 0.001 (0.003)	Loss 2.0666 (2.0030)	Prec@1 48.000 (48.179)	Prec@5 77.500 (78.572)
Epoch: [58][8100/9018]	Time 0.629 (0.636)	Data 0.001 (0.003)	Loss 2.0368 (2.0030)	Prec@1 51.000 (48.177)	Prec@5 76.500 (78.571)
Epoch: [58][8110/9018]	Time 0.651 (0.636)	Data 0.015 (0.003)	Loss 2.1132 (2.0029)	Prec@1 41.500 (48.180)	Prec@5 81.000 (78.574)
Epoch: [58][8120/9018]	Time 0.626 (0.636)	Data 0.015 (0.003)	Loss 2.1669 (2.0030)	Prec@1 47.500 (48.179)	Prec@5 78.000 (78.572)
Epoch: [58][8130/9018]	Time 0.633 (0.636)	Data 0.001 (0.003)	Loss 1.9297 (2.0030)	Prec@1 48.000 (48.180)	Prec@5 78.500 (78.572)
Epoch: [58][8140/9018]	Time 0.639 (0.636)	Data 0.001 (0.003)	Loss 2.1501 (2.0031)	Prec@1 45.500 (48.179)	Prec@5 77.500 (78.572)
Epoch: [58][8150/9018]	Time 0.627 (0.636)	Data 0.004 (0.003)	Loss 2.2196 (2.0031)	Prec@1 40.500 (48.178)	Prec@5 74.000 (78.571)
Epoch: [58][8160/9018]	Time 0.638 (0.636)	Data 0.001 (0.003)	Loss 1.8552 (2.0031)	Prec@1 55.000 (48.177)	Prec@5 82.500 (78.571)
Epoch: [58][8170/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 2.0772 (2.0031)	Prec@1 46.500 (48.175)	Prec@5 77.500 (78.571)
Epoch: [58][8180/9018]	Time 0.639 (0.636)	Data 0.001 (0.003)	Loss 1.9658 (2.0031)	Prec@1 47.000 (48.177)	Prec@5 80.500 (78.572)
Epoch: [58][8190/9018]	Time 0.623 (0.636)	Data 0.001 (0.003)	Loss 2.0111 (2.0031)	Prec@1 45.000 (48.176)	Prec@5 78.000 (78.572)
Epoch: [58][8200/9018]	Time 0.791 (0.636)	Data 0.001 (0.003)	Loss 2.2213 (2.0031)	Prec@1 44.500 (48.176)	Prec@5 77.500 (78.571)
Epoch: [58][8210/9018]	Time 0.620 (0.636)	Data 0.001 (0.003)	Loss 1.8984 (2.0031)	Prec@1 54.500 (48.176)	Prec@5 80.000 (78.570)
Epoch: [58][8220/9018]	Time 0.646 (0.636)	Data 0.001 (0.003)	Loss 1.9711 (2.0031)	Prec@1 52.000 (48.177)	Prec@5 76.500 (78.570)
Epoch: [58][8230/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 2.0870 (2.0032)	Prec@1 45.500 (48.176)	Prec@5 76.000 (78.569)
Epoch: [58][8240/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 1.9950 (2.0032)	Prec@1 48.000 (48.177)	Prec@5 78.000 (78.569)
Epoch: [58][8250/9018]	Time 0.771 (0.636)	Data 0.001 (0.003)	Loss 2.1635 (2.0032)	Prec@1 45.500 (48.177)	Prec@5 74.500 (78.568)
Epoch: [58][8260/9018]	Time 0.649 (0.636)	Data 0.001 (0.003)	Loss 1.7065 (2.0031)	Prec@1 56.500 (48.179)	Prec@5 83.500 (78.570)
Epoch: [58][8270/9018]	Time 0.622 (0.636)	Data 0.001 (0.003)	Loss 2.0012 (2.0032)	Prec@1 42.000 (48.177)	Prec@5 80.000 (78.568)
Epoch: [58][8280/9018]	Time 0.650 (0.636)	Data 0.012 (0.003)	Loss 2.1365 (2.0032)	Prec@1 45.500 (48.176)	Prec@5 76.000 (78.568)
Epoch: [58][8290/9018]	Time 0.643 (0.636)	Data 0.015 (0.003)	Loss 2.1354 (2.0032)	Prec@1 49.000 (48.176)	Prec@5 79.000 (78.567)
Epoch: [58][8300/9018]	Time 0.595 (0.636)	Data 0.001 (0.003)	Loss 1.8551 (2.0033)	Prec@1 48.000 (48.172)	Prec@5 80.500 (78.565)
Epoch: [58][8310/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 2.1989 (2.0033)	Prec@1 47.000 (48.173)	Prec@5 73.500 (78.565)
Epoch: [58][8320/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 1.9882 (2.0033)	Prec@1 50.500 (48.172)	Prec@5 83.000 (78.566)
Epoch: [58][8330/9018]	Time 0.625 (0.636)	Data 0.001 (0.003)	Loss 2.1196 (2.0033)	Prec@1 45.500 (48.171)	Prec@5 76.000 (78.565)
Epoch: [58][8340/9018]	Time 0.619 (0.636)	Data 0.003 (0.003)	Loss 2.0039 (2.0033)	Prec@1 47.000 (48.171)	Prec@5 79.500 (78.565)
Epoch: [58][8350/9018]	Time 0.644 (0.636)	Data 0.028 (0.003)	Loss 2.4547 (2.0034)	Prec@1 40.500 (48.170)	Prec@5 71.000 (78.565)
Epoch: [58][8360/9018]	Time 0.612 (0.636)	Data 0.001 (0.003)	Loss 1.6835 (2.0033)	Prec@1 55.500 (48.170)	Prec@5 83.500 (78.566)
Epoch: [58][8370/9018]	Time 0.628 (0.636)	Data 0.001 (0.003)	Loss 1.9000 (2.0034)	Prec@1 49.000 (48.168)	Prec@5 81.000 (78.565)
Epoch: [58][8380/9018]	Time 0.609 (0.636)	Data 0.001 (0.003)	Loss 1.9861 (2.0034)	Prec@1 44.500 (48.165)	Prec@5 79.000 (78.566)
Epoch: [58][8390/9018]	Time 0.626 (0.636)	Data 0.014 (0.003)	Loss 1.9447 (2.0034)	Prec@1 48.500 (48.168)	Prec@5 78.500 (78.566)
Epoch: [58][8400/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 1.9661 (2.0034)	Prec@1 49.000 (48.166)	Prec@5 81.000 (78.565)
Epoch: [58][8410/9018]	Time 0.613 (0.636)	Data 0.001 (0.003)	Loss 2.0529 (2.0034)	Prec@1 40.000 (48.166)	Prec@5 80.000 (78.565)
Epoch: [58][8420/9018]	Time 0.637 (0.636)	Data 0.007 (0.003)	Loss 1.8987 (2.0034)	Prec@1 48.500 (48.166)	Prec@5 81.000 (78.565)
Epoch: [58][8430/9018]	Time 0.607 (0.636)	Data 0.001 (0.003)	Loss 1.8386 (2.0035)	Prec@1 52.500 (48.167)	Prec@5 82.000 (78.563)
Epoch: [58][8440/9018]	Time 0.633 (0.636)	Data 0.006 (0.003)	Loss 1.9902 (2.0035)	Prec@1 50.000 (48.167)	Prec@5 81.500 (78.562)
Epoch: [58][8450/9018]	Time 0.614 (0.636)	Data 0.001 (0.003)	Loss 2.0380 (2.0035)	Prec@1 46.500 (48.167)	Prec@5 75.000 (78.562)
Epoch: [58][8460/9018]	Time 0.628 (0.636)	Data 0.001 (0.003)	Loss 2.0096 (2.0036)	Prec@1 46.000 (48.166)	Prec@5 80.000 (78.561)
Epoch: [58][8470/9018]	Time 0.621 (0.636)	Data 0.005 (0.003)	Loss 1.9016 (2.0036)	Prec@1 50.500 (48.166)	Prec@5 81.500 (78.562)
Epoch: [58][8480/9018]	Time 0.627 (0.636)	Data 0.005 (0.003)	Loss 2.0666 (2.0036)	Prec@1 44.000 (48.167)	Prec@5 77.500 (78.563)
Epoch: [58][8490/9018]	Time 0.624 (0.636)	Data 0.001 (0.003)	Loss 1.9492 (2.0035)	Prec@1 49.000 (48.168)	Prec@5 81.000 (78.564)
Epoch: [58][8500/9018]	Time 0.597 (0.636)	Data 0.001 (0.003)	Loss 1.8871 (2.0035)	Prec@1 53.500 (48.169)	Prec@5 79.000 (78.564)
Epoch: [58][8510/9018]	Time 0.612 (0.636)	Data 0.012 (0.003)	Loss 1.9191 (2.0035)	Prec@1 50.000 (48.169)	Prec@5 80.000 (78.565)
Epoch: [58][8520/9018]	Time 0.638 (0.636)	Data 0.001 (0.003)	Loss 2.3525 (2.0035)	Prec@1 45.500 (48.170)	Prec@5 72.500 (78.565)
Epoch: [58][8530/9018]	Time 0.767 (0.636)	Data 0.001 (0.003)	Loss 1.8846 (2.0035)	Prec@1 53.000 (48.169)	Prec@5 78.500 (78.565)
Epoch: [58][8540/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 2.0057 (2.0035)	Prec@1 47.500 (48.168)	Prec@5 80.000 (78.564)
Epoch: [58][8550/9018]	Time 0.623 (0.636)	Data 0.006 (0.003)	Loss 1.8198 (2.0036)	Prec@1 54.000 (48.167)	Prec@5 84.500 (78.564)
Epoch: [58][8560/9018]	Time 0.656 (0.636)	Data 0.017 (0.003)	Loss 2.0205 (2.0037)	Prec@1 49.000 (48.164)	Prec@5 78.500 (78.561)
Epoch: [58][8570/9018]	Time 0.635 (0.636)	Data 0.002 (0.003)	Loss 1.9092 (2.0037)	Prec@1 53.500 (48.164)	Prec@5 80.000 (78.561)
Epoch: [58][8580/9018]	Time 0.783 (0.636)	Data 0.001 (0.003)	Loss 1.9847 (2.0038)	Prec@1 48.500 (48.164)	Prec@5 77.500 (78.561)
Epoch: [58][8590/9018]	Time 0.634 (0.636)	Data 0.024 (0.003)	Loss 2.2450 (2.0038)	Prec@1 43.500 (48.163)	Prec@5 74.000 (78.559)
Epoch: [58][8600/9018]	Time 0.617 (0.636)	Data 0.002 (0.003)	Loss 2.1316 (2.0039)	Prec@1 48.000 (48.163)	Prec@5 77.500 (78.558)
Epoch: [58][8610/9018]	Time 0.646 (0.636)	Data 0.013 (0.003)	Loss 1.9561 (2.0038)	Prec@1 49.500 (48.165)	Prec@5 76.000 (78.559)
Epoch: [58][8620/9018]	Time 0.632 (0.636)	Data 0.001 (0.003)	Loss 2.0368 (2.0038)	Prec@1 47.500 (48.165)	Prec@5 83.000 (78.558)
Epoch: [58][8630/9018]	Time 0.633 (0.636)	Data 0.001 (0.003)	Loss 2.0499 (2.0038)	Prec@1 42.000 (48.164)	Prec@5 77.000 (78.557)
Epoch: [58][8640/9018]	Time 0.621 (0.636)	Data 0.001 (0.003)	Loss 1.7930 (2.0037)	Prec@1 55.500 (48.163)	Prec@5 82.000 (78.556)
Epoch: [58][8650/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 1.8573 (2.0037)	Prec@1 51.000 (48.164)	Prec@5 82.500 (78.557)
Epoch: [58][8660/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 2.1933 (2.0037)	Prec@1 47.500 (48.164)	Prec@5 73.000 (78.557)
Epoch: [58][8670/9018]	Time 0.610 (0.636)	Data 0.001 (0.003)	Loss 1.8666 (2.0037)	Prec@1 51.000 (48.163)	Prec@5 79.500 (78.559)
Epoch: [58][8680/9018]	Time 0.624 (0.636)	Data 0.014 (0.003)	Loss 2.0567 (2.0037)	Prec@1 46.500 (48.161)	Prec@5 79.000 (78.560)
Epoch: [58][8690/9018]	Time 0.625 (0.636)	Data 0.001 (0.003)	Loss 1.9374 (2.0037)	Prec@1 51.500 (48.162)	Prec@5 80.500 (78.560)
Epoch: [58][8700/9018]	Time 0.608 (0.636)	Data 0.001 (0.003)	Loss 1.7604 (2.0037)	Prec@1 52.000 (48.161)	Prec@5 81.500 (78.561)
Epoch: [58][8710/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 1.8228 (2.0037)	Prec@1 50.500 (48.161)	Prec@5 81.500 (78.559)
Epoch: [58][8720/9018]	Time 0.645 (0.636)	Data 0.001 (0.003)	Loss 2.0676 (2.0037)	Prec@1 47.000 (48.162)	Prec@5 79.000 (78.560)
Epoch: [58][8730/9018]	Time 0.629 (0.636)	Data 0.001 (0.003)	Loss 1.9051 (2.0038)	Prec@1 51.000 (48.161)	Prec@5 81.500 (78.560)
Epoch: [58][8740/9018]	Time 0.624 (0.636)	Data 0.001 (0.003)	Loss 2.1565 (2.0038)	Prec@1 47.000 (48.161)	Prec@5 74.000 (78.559)
Epoch: [58][8750/9018]	Time 0.627 (0.636)	Data 0.008 (0.003)	Loss 2.0075 (2.0039)	Prec@1 47.500 (48.158)	Prec@5 76.000 (78.557)
Epoch: [58][8760/9018]	Time 0.603 (0.636)	Data 0.001 (0.003)	Loss 2.0958 (2.0039)	Prec@1 42.500 (48.157)	Prec@5 77.500 (78.556)
Epoch: [58][8770/9018]	Time 0.628 (0.636)	Data 0.001 (0.003)	Loss 2.0910 (2.0040)	Prec@1 47.500 (48.157)	Prec@5 75.000 (78.554)
Epoch: [58][8780/9018]	Time 0.597 (0.636)	Data 0.001 (0.003)	Loss 2.1490 (2.0040)	Prec@1 44.000 (48.155)	Prec@5 76.000 (78.553)
Epoch: [58][8790/9018]	Time 0.639 (0.636)	Data 0.001 (0.003)	Loss 1.9102 (2.0040)	Prec@1 52.500 (48.155)	Prec@5 78.000 (78.553)
Epoch: [58][8800/9018]	Time 0.604 (0.636)	Data 0.017 (0.003)	Loss 2.0722 (2.0040)	Prec@1 52.000 (48.155)	Prec@5 76.000 (78.552)
Epoch: [58][8810/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 1.9109 (2.0040)	Prec@1 51.500 (48.156)	Prec@5 82.000 (78.552)
Epoch: [58][8820/9018]	Time 0.631 (0.636)	Data 0.001 (0.003)	Loss 2.0733 (2.0041)	Prec@1 45.000 (48.157)	Prec@5 80.500 (78.551)
Epoch: [58][8830/9018]	Time 0.623 (0.636)	Data 0.001 (0.003)	Loss 2.0853 (2.0041)	Prec@1 48.000 (48.157)	Prec@5 74.000 (78.551)
Epoch: [58][8840/9018]	Time 0.641 (0.636)	Data 0.001 (0.003)	Loss 1.7997 (2.0041)	Prec@1 51.000 (48.157)	Prec@5 82.000 (78.551)
Epoch: [58][8850/9018]	Time 0.634 (0.636)	Data 0.004 (0.003)	Loss 2.0507 (2.0040)	Prec@1 43.000 (48.158)	Prec@5 78.500 (78.552)
Epoch: [58][8860/9018]	Time 0.783 (0.636)	Data 0.001 (0.003)	Loss 2.1186 (2.0040)	Prec@1 46.000 (48.157)	Prec@5 77.500 (78.552)
Epoch: [58][8870/9018]	Time 0.619 (0.636)	Data 0.001 (0.003)	Loss 1.9801 (2.0040)	Prec@1 41.500 (48.157)	Prec@5 80.000 (78.554)
Epoch: [58][8880/9018]	Time 0.636 (0.636)	Data 0.001 (0.003)	Loss 2.0313 (2.0040)	Prec@1 49.000 (48.157)	Prec@5 78.000 (78.553)
Epoch: [58][8890/9018]	Time 0.619 (0.636)	Data 0.007 (0.003)	Loss 2.0165 (2.0039)	Prec@1 49.000 (48.156)	Prec@5 79.000 (78.554)
Epoch: [58][8900/9018]	Time 0.627 (0.636)	Data 0.001 (0.003)	Loss 1.7304 (2.0039)	Prec@1 52.000 (48.159)	Prec@5 86.000 (78.556)
Epoch: [58][8910/9018]	Time 0.727 (0.636)	Data 0.015 (0.003)	Loss 2.0036 (2.0038)	Prec@1 47.000 (48.159)	Prec@5 79.500 (78.556)
Epoch: [58][8920/9018]	Time 0.636 (0.636)	Data 0.001 (0.003)	Loss 1.8834 (2.0037)	Prec@1 48.500 (48.161)	Prec@5 82.500 (78.558)
Epoch: [58][8930/9018]	Time 0.630 (0.636)	Data 0.015 (0.003)	Loss 2.0956 (2.0038)	Prec@1 49.000 (48.161)	Prec@5 77.500 (78.558)
Epoch: [58][8940/9018]	Time 0.621 (0.636)	Data 0.016 (0.003)	Loss 1.9857 (2.0037)	Prec@1 47.500 (48.163)	Prec@5 81.000 (78.559)
Epoch: [58][8950/9018]	Time 0.622 (0.636)	Data 0.001 (0.003)	Loss 2.0918 (2.0037)	Prec@1 47.000 (48.164)	Prec@5 76.500 (78.560)
Epoch: [58][8960/9018]	Time 0.618 (0.636)	Data 0.001 (0.003)	Loss 2.0933 (2.0036)	Prec@1 45.500 (48.164)	Prec@5 75.500 (78.559)
Epoch: [58][8970/9018]	Time 0.625 (0.636)	Data 0.001 (0.003)	Loss 2.2521 (2.0037)	Prec@1 47.000 (48.163)	Prec@5 73.500 (78.560)
Epoch: [58][8980/9018]	Time 0.628 (0.636)	Data 0.001 (0.003)	Loss 1.9283 (2.0037)	Prec@1 50.000 (48.162)	Prec@5 80.500 (78.558)
Epoch: [58][8990/9018]	Time 0.619 (0.636)	Data 0.006 (0.003)	Loss 1.8405 (2.0037)	Prec@1 53.000 (48.162)	Prec@5 82.500 (78.558)
Epoch: [58][9000/9018]	Time 0.608 (0.636)	Data 0.001 (0.003)	Loss 2.0091 (2.0037)	Prec@1 45.500 (48.162)	Prec@5 79.500 (78.558)
Epoch: [58][9010/9018]	Time 0.627 (0.636)	Data 0.000 (0.003)	Loss 1.9609 (2.0037)	Prec@1 48.500 (48.161)	Prec@5 80.500 (78.557)
Test: [0/183]	Time 1.633 (1.633)	Loss 2.4260 (2.4260)	Prec@1 40.500 (40.500)	Prec@5 72.500 (72.500)
Test: [10/183]	Time 0.191 (0.343)	Loss 1.7793 (1.6750)	Prec@1 57.000 (55.818)	Prec@5 81.500 (85.364)
Test: [20/183]	Time 0.220 (0.277)	Loss 1.9348 (1.6565)	Prec@1 50.500 (55.333)	Prec@5 83.000 (85.357)
Test: [30/183]	Time 0.193 (0.257)	Loss 2.3425 (1.6825)	Prec@1 29.500 (53.871)	Prec@5 77.000 (85.177)
Test: [40/183]	Time 0.281 (0.244)	Loss 2.5191 (1.6971)	Prec@1 30.500 (54.012)	Prec@5 74.000 (84.341)
Test: [50/183]	Time 0.219 (0.236)	Loss 1.6980 (1.6834)	Prec@1 50.500 (54.275)	Prec@5 89.000 (84.608)
Test: [60/183]	Time 0.218 (0.232)	Loss 2.3205 (1.7616)	Prec@1 40.500 (52.082)	Prec@5 71.500 (83.607)
Test: [70/183]	Time 0.183 (0.229)	Loss 1.3894 (1.7405)	Prec@1 68.000 (52.373)	Prec@5 87.000 (83.993)
Test: [80/183]	Time 0.193 (0.228)	Loss 1.4809 (1.7303)	Prec@1 54.500 (52.333)	Prec@5 92.000 (84.123)
Test: [90/183]	Time 0.235 (0.225)	Loss 2.3145 (1.7359)	Prec@1 37.500 (52.335)	Prec@5 74.500 (84.055)
Test: [100/183]	Time 0.208 (0.223)	Loss 0.7351 (1.7352)	Prec@1 76.500 (52.470)	Prec@5 96.000 (84.020)
Test: [110/183]	Time 0.211 (0.222)	Loss 0.7087 (1.7388)	Prec@1 83.000 (52.568)	Prec@5 96.500 (83.842)
Test: [120/183]	Time 0.244 (0.221)	Loss 2.3124 (1.7393)	Prec@1 37.500 (52.463)	Prec@5 73.000 (83.888)
Test: [130/183]	Time 0.210 (0.221)	Loss 2.6271 (1.7449)	Prec@1 26.500 (52.347)	Prec@5 77.000 (83.992)
Test: [140/183]	Time 0.289 (0.220)	Loss 1.5286 (1.7378)	Prec@1 60.500 (52.585)	Prec@5 87.500 (84.110)
Test: [150/183]	Time 0.180 (0.219)	Loss 0.7598 (1.7365)	Prec@1 79.000 (52.662)	Prec@5 98.000 (84.116)
Test: [160/183]	Time 0.187 (0.219)	Loss 1.7978 (1.7353)	Prec@1 49.500 (52.764)	Prec@5 78.500 (84.062)
Test: [170/183]	Time 0.201 (0.218)	Loss 2.3632 (1.7552)	Prec@1 26.000 (52.272)	Prec@5 77.500 (83.696)
Test: [180/183]	Time 0.207 (0.217)	Loss 2.0011 (1.7610)	Prec@1 45.500 (52.260)	Prec@5 82.000 (83.619)
 * Prec@1 52.252 Prec@5 83.608
Epoch: [59][0/9018]	Time 3.038 (3.038)	Data 2.372 (2.372)	Loss 1.8548 (1.8548)	Prec@1 50.500 (50.500)	Prec@5 83.000 (83.000)
Epoch: [59][10/9018]	Time 0.612 (0.868)	Data 0.001 (0.217)	Loss 1.9441 (1.9960)	Prec@1 52.000 (47.773)	Prec@5 81.000 (78.909)
Epoch: [59][20/9018]	Time 0.645 (0.756)	Data 0.001 (0.115)	Loss 2.0304 (1.9951)	Prec@1 48.000 (48.524)	Prec@5 76.500 (78.333)
Epoch: [59][30/9018]	Time 0.628 (0.718)	Data 0.001 (0.078)	Loss 1.9438 (1.9737)	Prec@1 50.000 (49.435)	Prec@5 77.500 (78.597)
Epoch: [59][40/9018]	Time 0.643 (0.701)	Data 0.001 (0.060)	Loss 2.1184 (1.9798)	Prec@1 46.000 (48.988)	Prec@5 75.500 (78.415)
Epoch: [59][50/9018]	Time 0.636 (0.687)	Data 0.001 (0.049)	Loss 1.8864 (1.9727)	Prec@1 47.500 (48.951)	Prec@5 80.500 (78.765)
Epoch: [59][60/9018]	Time 0.641 (0.678)	Data 0.014 (0.041)	Loss 1.9952 (1.9736)	Prec@1 48.000 (48.680)	Prec@5 79.000 (78.730)
Epoch: [59][70/9018]	Time 0.623 (0.671)	Data 0.001 (0.036)	Loss 2.0955 (1.9640)	Prec@1 48.500 (48.817)	Prec@5 76.000 (78.824)
Epoch: [59][80/9018]	Time 0.647 (0.667)	Data 0.001 (0.032)	Loss 1.7722 (1.9622)	Prec@1 54.000 (48.938)	Prec@5 85.000 (78.994)
Epoch: [59][90/9018]	Time 0.611 (0.664)	Data 0.003 (0.028)	Loss 2.0796 (1.9619)	Prec@1 46.000 (48.852)	Prec@5 81.500 (79.022)
Epoch: [59][100/9018]	Time 0.621 (0.661)	Data 0.001 (0.026)	Loss 2.1157 (1.9605)	Prec@1 49.000 (48.946)	Prec@5 77.500 (79.089)
Epoch: [59][110/9018]	Time 0.613 (0.659)	Data 0.001 (0.024)	Loss 2.0438 (1.9688)	Prec@1 48.000 (48.766)	Prec@5 81.000 (78.946)
Epoch: [59][120/9018]	Time 0.643 (0.657)	Data 0.001 (0.022)	Loss 1.8278 (1.9700)	Prec@1 51.500 (48.752)	Prec@5 82.500 (79.079)
Epoch: [59][130/9018]	Time 0.625 (0.655)	Data 0.001 (0.020)	Loss 1.8299 (1.9697)	Prec@1 51.000 (48.760)	Prec@5 82.000 (79.137)
Epoch: [59][140/9018]	Time 0.656 (0.655)	Data 0.001 (0.019)	Loss 2.0662 (1.9675)	Prec@1 48.500 (48.833)	Prec@5 76.500 (79.131)
Epoch: [59][150/9018]	Time 0.642 (0.653)	Data 0.001 (0.018)	Loss 1.7320 (1.9653)	Prec@1 54.000 (48.868)	Prec@5 82.500 (79.159)
Epoch: [59][160/9018]	Time 0.626 (0.652)	Data 0.001 (0.017)	Loss 2.0814 (1.9659)	Prec@1 47.500 (48.823)	Prec@5 77.000 (79.165)
Epoch: [59][170/9018]	Time 0.633 (0.651)	Data 0.001 (0.016)	Loss 2.0022 (1.9649)	Prec@1 52.500 (48.868)	Prec@5 75.500 (79.173)
Epoch: [59][180/9018]	Time 0.623 (0.650)	Data 0.001 (0.016)	Loss 2.0583 (1.9681)	Prec@1 48.000 (48.884)	Prec@5 73.500 (79.083)
Epoch: [59][190/9018]	Time 0.625 (0.649)	Data 0.001 (0.015)	Loss 1.7908 (1.9647)	Prec@1 54.000 (48.963)	Prec@5 80.500 (79.134)
Epoch: [59][200/9018]	Time 0.648 (0.648)	Data 0.001 (0.014)	Loss 2.0024 (1.9685)	Prec@1 49.500 (48.900)	Prec@5 78.000 (79.070)
Epoch: [59][210/9018]	Time 0.621 (0.647)	Data 0.001 (0.014)	Loss 1.9404 (1.9667)	Prec@1 46.500 (48.915)	Prec@5 81.000 (79.107)
Epoch: [59][220/9018]	Time 0.620 (0.647)	Data 0.001 (0.013)	Loss 1.9581 (1.9685)	Prec@1 43.500 (48.864)	Prec@5 80.500 (79.043)
Epoch: [59][230/9018]	Time 0.624 (0.646)	Data 0.001 (0.013)	Loss 2.2497 (1.9694)	Prec@1 40.000 (48.766)	Prec@5 76.000 (79.032)
Epoch: [59][240/9018]	Time 0.626 (0.646)	Data 0.001 (0.012)	Loss 2.0309 (1.9721)	Prec@1 46.000 (48.718)	Prec@5 80.500 (79.006)
Epoch: [59][250/9018]	Time 0.611 (0.645)	Data 0.001 (0.012)	Loss 1.7659 (1.9705)	Prec@1 55.500 (48.773)	Prec@5 83.000 (79.074)
Epoch: [59][260/9018]	Time 0.609 (0.645)	Data 0.001 (0.011)	Loss 2.0900 (1.9688)	Prec@1 46.500 (48.782)	Prec@5 76.500 (79.121)
Epoch: [59][270/9018]	Time 0.756 (0.645)	Data 0.001 (0.011)	Loss 1.9295 (1.9681)	Prec@1 51.500 (48.825)	Prec@5 81.000 (79.124)
Epoch: [59][280/9018]	Time 0.640 (0.644)	Data 0.001 (0.011)	Loss 2.0436 (1.9663)	Prec@1 46.500 (48.847)	Prec@5 78.500 (79.160)
Epoch: [59][290/9018]	Time 0.633 (0.644)	Data 0.001 (0.010)	Loss 1.6582 (1.9642)	Prec@1 52.500 (48.864)	Prec@5 85.000 (79.167)
Epoch: [59][300/9018]	Time 0.616 (0.643)	Data 0.002 (0.010)	Loss 1.8291 (1.9651)	Prec@1 53.500 (48.862)	Prec@5 80.500 (79.146)
Epoch: [59][310/9018]	Time 0.621 (0.643)	Data 0.001 (0.010)	Loss 2.0030 (1.9654)	Prec@1 50.500 (48.850)	Prec@5 78.500 (79.135)
Epoch: [59][320/9018]	Time 0.732 (0.643)	Data 0.001 (0.010)	Loss 1.8947 (1.9668)	Prec@1 53.000 (48.813)	Prec@5 80.500 (79.114)
Epoch: [59][330/9018]	Time 0.656 (0.642)	Data 0.001 (0.009)	Loss 2.0781 (1.9688)	Prec@1 45.000 (48.760)	Prec@5 80.000 (79.106)
Epoch: [59][340/9018]	Time 0.611 (0.642)	Data 0.001 (0.009)	Loss 2.2060 (1.9706)	Prec@1 42.500 (48.694)	Prec@5 74.500 (79.032)
Epoch: [59][350/9018]	Time 0.636 (0.642)	Data 0.001 (0.009)	Loss 1.8943 (1.9700)	Prec@1 44.000 (48.714)	Prec@5 84.000 (79.051)
Epoch: [59][360/9018]	Time 0.650 (0.642)	Data 0.016 (0.009)	Loss 2.0488 (1.9704)	Prec@1 47.000 (48.709)	Prec@5 75.500 (79.030)
Epoch: [59][370/9018]	Time 0.631 (0.642)	Data 0.001 (0.009)	Loss 2.0050 (1.9685)	Prec@1 47.500 (48.761)	Prec@5 79.000 (79.061)
Epoch: [59][380/9018]	Time 0.619 (0.641)	Data 0.001 (0.009)	Loss 2.1015 (1.9693)	Prec@1 45.000 (48.741)	Prec@5 78.000 (79.072)
Epoch: [59][390/9018]	Time 0.607 (0.641)	Data 0.001 (0.008)	Loss 2.0398 (1.9690)	Prec@1 48.000 (48.762)	Prec@5 76.500 (79.069)
Epoch: [59][400/9018]	Time 0.627 (0.641)	Data 0.001 (0.008)	Loss 1.9741 (1.9688)	Prec@1 46.500 (48.736)	Prec@5 82.000 (79.070)
Epoch: [59][410/9018]	Time 0.617 (0.641)	Data 0.001 (0.008)	Loss 2.0732 (1.9682)	Prec@1 49.000 (48.736)	Prec@5 76.000 (79.086)
Epoch: [59][420/9018]	Time 0.630 (0.641)	Data 0.001 (0.008)	Loss 2.2195 (1.9679)	Prec@1 41.500 (48.764)	Prec@5 75.000 (79.094)
Epoch: [59][430/9018]	Time 0.609 (0.641)	Data 0.001 (0.008)	Loss 2.0820 (1.9711)	Prec@1 46.500 (48.680)	Prec@5 76.500 (79.049)
Epoch: [59][440/9018]	Time 0.687 (0.641)	Data 0.001 (0.008)	Loss 2.0902 (1.9710)	Prec@1 44.500 (48.690)	Prec@5 76.000 (79.043)
Epoch: [59][450/9018]	Time 0.602 (0.640)	Data 0.001 (0.008)	Loss 2.1214 (1.9716)	Prec@1 45.500 (48.670)	Prec@5 76.500 (79.033)
Epoch: [59][460/9018]	Time 0.635 (0.640)	Data 0.014 (0.007)	Loss 2.1519 (1.9719)	Prec@1 41.000 (48.657)	Prec@5 77.500 (79.062)
Epoch: [59][470/9018]	Time 0.634 (0.640)	Data 0.001 (0.007)	Loss 2.1291 (1.9730)	Prec@1 47.500 (48.639)	Prec@5 78.000 (79.030)
Epoch: [59][480/9018]	Time 0.628 (0.640)	Data 0.001 (0.007)	Loss 1.9866 (1.9724)	Prec@1 46.000 (48.635)	Prec@5 76.500 (79.018)
Epoch: [59][490/9018]	Time 0.620 (0.640)	Data 0.001 (0.007)	Loss 2.1183 (1.9732)	Prec@1 48.000 (48.611)	Prec@5 77.000 (78.990)
Epoch: [59][500/9018]	Time 0.633 (0.640)	Data 0.001 (0.007)	Loss 1.9679 (1.9725)	Prec@1 48.500 (48.609)	Prec@5 81.000 (78.994)
Epoch: [59][510/9018]	Time 0.637 (0.640)	Data 0.001 (0.007)	Loss 2.0421 (1.9731)	Prec@1 48.500 (48.633)	Prec@5 74.000 (78.972)
Epoch: [59][520/9018]	Time 0.622 (0.640)	Data 0.001 (0.007)	Loss 1.8914 (1.9727)	Prec@1 54.500 (48.678)	Prec@5 83.000 (78.981)
Epoch: [59][530/9018]	Time 0.629 (0.639)	Data 0.001 (0.007)	Loss 2.0814 (1.9732)	Prec@1 49.000 (48.678)	Prec@5 79.000 (78.974)
Epoch: [59][540/9018]	Time 0.626 (0.639)	Data 0.001 (0.007)	Loss 1.8378 (1.9741)	Prec@1 50.000 (48.674)	Prec@5 83.000 (78.953)
Epoch: [59][550/9018]	Time 0.636 (0.639)	Data 0.001 (0.007)	Loss 2.2982 (1.9745)	Prec@1 39.000 (48.650)	Prec@5 75.000 (78.967)
Epoch: [59][560/9018]	Time 0.619 (0.639)	Data 0.005 (0.007)	Loss 1.8300 (1.9745)	Prec@1 51.500 (48.633)	Prec@5 83.000 (78.957)
Epoch: [59][570/9018]	Time 0.616 (0.639)	Data 0.001 (0.007)	Loss 1.9791 (1.9738)	Prec@1 46.000 (48.649)	Prec@5 79.000 (78.978)
Epoch: [59][580/9018]	Time 0.628 (0.639)	Data 0.008 (0.006)	Loss 2.1545 (1.9739)	Prec@1 44.500 (48.628)	Prec@5 76.500 (78.981)
Epoch: [59][590/9018]	Time 0.602 (0.639)	Data 0.001 (0.006)	Loss 1.9706 (1.9747)	Prec@1 48.500 (48.602)	Prec@5 81.000 (78.963)
Epoch: [59][600/9018]	Time 0.735 (0.639)	Data 0.001 (0.006)	Loss 2.2611 (1.9755)	Prec@1 40.000 (48.597)	Prec@5 73.500 (78.948)
Epoch: [59][610/9018]	Time 0.641 (0.639)	Data 0.001 (0.006)	Loss 2.0706 (1.9764)	Prec@1 48.000 (48.586)	Prec@5 77.000 (78.927)
Epoch: [59][620/9018]	Time 0.613 (0.639)	Data 0.001 (0.006)	Loss 1.9687 (1.9769)	Prec@1 48.000 (48.564)	Prec@5 79.500 (78.928)
Epoch: [59][630/9018]	Time 0.624 (0.639)	Data 0.001 (0.006)	Loss 1.9006 (1.9770)	Prec@1 46.500 (48.588)	Prec@5 79.500 (78.926)
Epoch: [59][640/9018]	Time 0.633 (0.639)	Data 0.001 (0.006)	Loss 1.9841 (1.9775)	Prec@1 48.000 (48.573)	Prec@5 81.000 (78.923)
Epoch: [59][650/9018]	Time 0.762 (0.639)	Data 0.002 (0.006)	Loss 2.1735 (1.9770)	Prec@1 41.000 (48.584)	Prec@5 74.500 (78.929)
Epoch: [59][660/9018]	Time 0.633 (0.639)	Data 0.001 (0.006)	Loss 2.2132 (1.9770)	Prec@1 43.500 (48.582)	Prec@5 75.000 (78.927)
Epoch: [59][670/9018]	Time 0.616 (0.639)	Data 0.001 (0.006)	Loss 1.8850 (1.9773)	Prec@1 53.000 (48.576)	Prec@5 81.000 (78.911)
Epoch: [59][680/9018]	Time 0.620 (0.639)	Data 0.001 (0.006)	Loss 2.0271 (1.9777)	Prec@1 47.500 (48.581)	Prec@5 76.500 (78.904)
Epoch: [59][690/9018]	Time 0.632 (0.639)	Data 0.001 (0.006)	Loss 1.9199 (1.9786)	Prec@1 48.000 (48.555)	Prec@5 79.000 (78.889)
Epoch: [59][700/9018]	Time 0.625 (0.639)	Data 0.001 (0.006)	Loss 1.9898 (1.9788)	Prec@1 43.500 (48.542)	Prec@5 81.000 (78.889)
Epoch: [59][710/9018]	Time 0.633 (0.638)	Data 0.001 (0.006)	Loss 1.9877 (1.9794)	Prec@1 47.000 (48.534)	Prec@5 78.000 (78.879)
Epoch: [59][720/9018]	Time 0.616 (0.638)	Data 0.001 (0.006)	Loss 1.8638 (1.9801)	Prec@1 50.000 (48.515)	Prec@5 79.500 (78.865)
Epoch: [59][730/9018]	Time 0.641 (0.638)	Data 0.001 (0.006)	Loss 2.0303 (1.9797)	Prec@1 47.500 (48.504)	Prec@5 78.500 (78.884)
Epoch: [59][740/9018]	Time 0.630 (0.638)	Data 0.001 (0.006)	Loss 1.9342 (1.9794)	Prec@1 50.500 (48.530)	Prec@5 80.000 (78.892)
Epoch: [59][750/9018]	Time 0.606 (0.638)	Data 0.001 (0.005)	Loss 2.0825 (1.9798)	Prec@1 45.500 (48.525)	Prec@5 78.000 (78.899)
Epoch: [59][760/9018]	Time 0.609 (0.638)	Data 0.014 (0.005)	Loss 2.0831 (1.9804)	Prec@1 45.000 (48.499)	Prec@5 77.000 (78.877)
Epoch: [59][770/9018]	Time 0.628 (0.638)	Data 0.001 (0.005)	Loss 1.8388 (1.9802)	Prec@1 52.000 (48.512)	Prec@5 81.500 (78.888)
Epoch: [59][780/9018]	Time 0.628 (0.638)	Data 0.001 (0.005)	Loss 1.9028 (1.9804)	Prec@1 51.500 (48.523)	Prec@5 80.000 (78.889)
Epoch: [59][790/9018]	Time 0.614 (0.638)	Data 0.001 (0.005)	Loss 1.9805 (1.9807)	Prec@1 44.500 (48.491)	Prec@5 83.000 (78.887)
Epoch: [59][800/9018]	Time 0.615 (0.638)	Data 0.001 (0.005)	Loss 1.9840 (1.9803)	Prec@1 53.000 (48.522)	Prec@5 79.000 (78.901)
Epoch: [59][810/9018]	Time 0.641 (0.638)	Data 0.001 (0.005)	Loss 1.9298 (1.9811)	Prec@1 49.500 (48.505)	Prec@5 83.000 (78.890)
Epoch: [59][820/9018]	Time 0.611 (0.638)	Data 0.001 (0.005)	Loss 1.9129 (1.9813)	Prec@1 52.500 (48.513)	Prec@5 79.000 (78.889)
Epoch: [59][830/9018]	Time 0.630 (0.638)	Data 0.001 (0.005)	Loss 2.0398 (1.9820)	Prec@1 50.500 (48.504)	Prec@5 78.500 (78.878)
Epoch: [59][840/9018]	Time 0.622 (0.638)	Data 0.001 (0.005)	Loss 1.9216 (1.9810)	Prec@1 50.500 (48.529)	Prec@5 80.000 (78.892)
Epoch: [59][850/9018]	Time 0.643 (0.638)	Data 0.001 (0.005)	Loss 1.7914 (1.9812)	Prec@1 56.000 (48.536)	Prec@5 82.500 (78.882)
Epoch: [59][860/9018]	Time 0.620 (0.638)	Data 0.001 (0.005)	Loss 1.9060 (1.9808)	Prec@1 49.500 (48.535)	Prec@5 80.500 (78.890)
Epoch: [59][870/9018]	Time 0.639 (0.638)	Data 0.001 (0.005)	Loss 1.8704 (1.9808)	Prec@1 50.500 (48.533)	Prec@5 78.000 (78.884)
Epoch: [59][880/9018]	Time 0.625 (0.638)	Data 0.001 (0.005)	Loss 2.0676 (1.9805)	Prec@1 48.500 (48.537)	Prec@5 77.500 (78.896)
Epoch: [59][890/9018]	Time 0.624 (0.638)	Data 0.001 (0.005)	Loss 1.9998 (1.9804)	Prec@1 44.000 (48.530)	Prec@5 79.000 (78.902)
Epoch: [59][900/9018]	Time 0.621 (0.638)	Data 0.001 (0.005)	Loss 2.0059 (1.9804)	Prec@1 47.000 (48.517)	Prec@5 79.000 (78.906)
Epoch: [59][910/9018]	Time 0.635 (0.638)	Data 0.001 (0.005)	Loss 1.9801 (1.9806)	Prec@1 51.500 (48.525)	Prec@5 76.500 (78.902)
Epoch: [59][920/9018]	Time 0.627 (0.638)	Data 0.015 (0.005)	Loss 1.7901 (1.9803)	Prec@1 52.500 (48.542)	Prec@5 81.500 (78.901)
Epoch: [59][930/9018]	Time 0.766 (0.638)	Data 0.001 (0.005)	Loss 2.1249 (1.9806)	Prec@1 39.000 (48.540)	Prec@5 78.000 (78.900)
Epoch: [59][940/9018]	Time 0.622 (0.638)	Data 0.001 (0.005)	Loss 1.9603 (1.9803)	Prec@1 47.000 (48.524)	Prec@5 81.500 (78.919)
Epoch: [59][950/9018]	Time 0.641 (0.638)	Data 0.001 (0.005)	Loss 2.2065 (1.9799)	Prec@1 45.000 (48.526)	Prec@5 78.000 (78.932)
Epoch: [59][960/9018]	Time 0.644 (0.638)	Data 0.001 (0.005)	Loss 2.2904 (1.9799)	Prec@1 42.000 (48.542)	Prec@5 71.500 (78.929)
Epoch: [59][970/9018]	Time 0.612 (0.638)	Data 0.001 (0.005)	Loss 2.1335 (1.9807)	Prec@1 47.500 (48.530)	Prec@5 77.500 (78.914)
Epoch: [59][980/9018]	Time 0.749 (0.638)	Data 0.016 (0.005)	Loss 2.0662 (1.9807)	Prec@1 46.000 (48.527)	Prec@5 76.000 (78.922)
Epoch: [59][990/9018]	Time 0.629 (0.638)	Data 0.001 (0.005)	Loss 1.9541 (1.9809)	Prec@1 52.500 (48.528)	Prec@5 79.500 (78.923)
Epoch: [59][1000/9018]	Time 0.597 (0.638)	Data 0.001 (0.005)	Loss 2.0577 (1.9812)	Prec@1 44.000 (48.510)	Prec@5 77.500 (78.918)
Epoch: [59][1010/9018]	Time 0.639 (0.637)	Data 0.001 (0.005)	Loss 1.8160 (1.9814)	Prec@1 51.500 (48.488)	Prec@5 81.000 (78.921)
Epoch: [59][1020/9018]	Time 0.631 (0.638)	Data 0.001 (0.005)	Loss 1.9245 (1.9825)	Prec@1 54.500 (48.476)	Prec@5 79.500 (78.901)
Epoch: [59][1030/9018]	Time 0.611 (0.638)	Data 0.001 (0.005)	Loss 1.8865 (1.9825)	Prec@1 47.500 (48.477)	Prec@5 82.500 (78.903)
Epoch: [59][1040/9018]	Time 0.622 (0.637)	Data 0.001 (0.005)	Loss 1.9386 (1.9819)	Prec@1 48.000 (48.490)	Prec@5 80.500 (78.912)
Epoch: [59][1050/9018]	Time 0.631 (0.637)	Data 0.007 (0.005)	Loss 1.8896 (1.9822)	Prec@1 52.500 (48.484)	Prec@5 77.500 (78.905)
Epoch: [59][1060/9018]	Time 0.605 (0.637)	Data 0.001 (0.005)	Loss 2.1128 (1.9822)	Prec@1 46.500 (48.491)	Prec@5 74.500 (78.896)
Epoch: [59][1070/9018]	Time 0.617 (0.637)	Data 0.001 (0.005)	Loss 1.8338 (1.9813)	Prec@1 50.000 (48.516)	Prec@5 78.500 (78.903)
Epoch: [59][1080/9018]	Time 0.615 (0.637)	Data 0.001 (0.005)	Loss 2.1637 (1.9813)	Prec@1 43.500 (48.517)	Prec@5 73.000 (78.893)
Epoch: [59][1090/9018]	Time 0.627 (0.637)	Data 0.001 (0.004)	Loss 1.9694 (1.9823)	Prec@1 49.000 (48.505)	Prec@5 78.500 (78.877)
Epoch: [59][1100/9018]	Time 0.623 (0.637)	Data 0.001 (0.004)	Loss 1.7238 (1.9824)	Prec@1 55.500 (48.514)	Prec@5 83.500 (78.876)
Epoch: [59][1110/9018]	Time 0.629 (0.637)	Data 0.001 (0.004)	Loss 1.8924 (1.9824)	Prec@1 47.000 (48.518)	Prec@5 79.000 (78.868)
Epoch: [59][1120/9018]	Time 0.624 (0.637)	Data 0.001 (0.004)	Loss 2.1638 (1.9822)	Prec@1 46.500 (48.520)	Prec@5 75.000 (78.869)
Epoch: [59][1130/9018]	Time 0.642 (0.637)	Data 0.001 (0.004)	Loss 2.1042 (1.9824)	Prec@1 49.500 (48.510)	Prec@5 76.500 (78.863)
Epoch: [59][1140/9018]	Time 0.640 (0.637)	Data 0.001 (0.004)	Loss 2.1226 (1.9821)	Prec@1 44.000 (48.515)	Prec@5 75.500 (78.863)
Epoch: [59][1150/9018]	Time 0.612 (0.637)	Data 0.001 (0.004)	Loss 1.6885 (1.9814)	Prec@1 53.500 (48.523)	Prec@5 86.500 (78.879)
Epoch: [59][1160/9018]	Time 0.622 (0.637)	Data 0.001 (0.004)	Loss 2.1292 (1.9816)	Prec@1 48.000 (48.517)	Prec@5 76.500 (78.876)
Epoch: [59][1170/9018]	Time 0.610 (0.637)	Data 0.001 (0.004)	Loss 1.8610 (1.9813)	Prec@1 49.500 (48.516)	Prec@5 81.000 (78.889)
Epoch: [59][1180/9018]	Time 0.619 (0.637)	Data 0.001 (0.004)	Loss 1.9004 (1.9808)	Prec@1 51.500 (48.527)	Prec@5 82.000 (78.896)
Epoch: [59][1190/9018]	Time 0.614 (0.637)	Data 0.001 (0.004)	Loss 1.9356 (1.9807)	Prec@1 48.000 (48.531)	Prec@5 78.500 (78.895)
Epoch: [59][1200/9018]	Time 0.611 (0.637)	Data 0.001 (0.004)	Loss 1.8768 (1.9806)	Prec@1 50.500 (48.539)	Prec@5 83.000 (78.902)
Epoch: [59][1210/9018]	Time 0.616 (0.637)	Data 0.001 (0.004)	Loss 1.9582 (1.9804)	Prec@1 50.500 (48.539)	Prec@5 78.000 (78.901)
Epoch: [59][1220/9018]	Time 0.617 (0.637)	Data 0.001 (0.004)	Loss 2.0704 (1.9809)	Prec@1 47.000 (48.523)	Prec@5 77.500 (78.887)
Epoch: [59][1230/9018]	Time 0.630 (0.637)	Data 0.001 (0.004)	Loss 1.7565 (1.9812)	Prec@1 52.000 (48.520)	Prec@5 81.000 (78.881)
Epoch: [59][1240/9018]	Time 0.635 (0.637)	Data 0.001 (0.004)	Loss 2.0427 (1.9811)	Prec@1 47.000 (48.519)	Prec@5 79.500 (78.883)
Epoch: [59][1250/9018]	Time 0.625 (0.637)	Data 0.001 (0.004)	Loss 1.9722 (1.9809)	Prec@1 47.500 (48.518)	Prec@5 79.000 (78.892)
Epoch: [59][1260/9018]	Time 0.785 (0.637)	Data 0.001 (0.004)	Loss 2.0882 (1.9810)	Prec@1 44.000 (48.508)	Prec@5 79.000 (78.895)
Epoch: [59][1270/9018]	Time 0.643 (0.637)	Data 0.001 (0.004)	Loss 1.8549 (1.9811)	Prec@1 51.500 (48.494)	Prec@5 83.000 (78.903)
Epoch: [59][1280/9018]	Time 0.631 (0.637)	Data 0.013 (0.004)	Loss 2.0026 (1.9814)	Prec@1 50.000 (48.493)	Prec@5 75.500 (78.898)
Epoch: [59][1290/9018]	Time 0.638 (0.637)	Data 0.001 (0.004)	Loss 2.0092 (1.9817)	Prec@1 46.500 (48.488)	Prec@5 79.000 (78.890)
Epoch: [59][1300/9018]	Time 0.622 (0.637)	Data 0.015 (0.004)	Loss 2.1127 (1.9819)	Prec@1 46.000 (48.489)	Prec@5 73.000 (78.886)
Epoch: [59][1310/9018]	Time 0.768 (0.637)	Data 0.002 (0.004)	Loss 1.9143 (1.9816)	Prec@1 53.500 (48.491)	Prec@5 81.500 (78.896)
Epoch: [59][1320/9018]	Time 0.617 (0.637)	Data 0.001 (0.004)	Loss 2.1554 (1.9818)	Prec@1 44.500 (48.477)	Prec@5 75.000 (78.891)
Epoch: [59][1330/9018]	Time 0.627 (0.637)	Data 0.001 (0.004)	Loss 1.8945 (1.9819)	Prec@1 51.500 (48.468)	Prec@5 79.500 (78.892)
Epoch: [59][1340/9018]	Time 0.620 (0.637)	Data 0.013 (0.004)	Loss 2.0191 (1.9822)	Prec@1 45.000 (48.465)	Prec@5 81.000 (78.887)
Epoch: [59][1350/9018]	Time 0.636 (0.637)	Data 0.001 (0.004)	Loss 1.7316 (1.9824)	Prec@1 55.000 (48.460)	Prec@5 81.500 (78.882)
Epoch: [59][1360/9018]	Time 0.620 (0.637)	Data 0.001 (0.004)	Loss 2.0242 (1.9824)	Prec@1 47.000 (48.461)	Prec@5 75.500 (78.874)
Epoch: [59][1370/9018]	Time 0.629 (0.637)	Data 0.001 (0.004)	Loss 1.9645 (1.9822)	Prec@1 47.500 (48.466)	Prec@5 79.000 (78.879)
Epoch: [59][1380/9018]	Time 0.639 (0.637)	Data 0.015 (0.004)	Loss 2.2483 (1.9827)	Prec@1 43.000 (48.457)	Prec@5 76.500 (78.874)
Epoch: [59][1390/9018]	Time 0.638 (0.637)	Data 0.001 (0.004)	Loss 2.0737 (1.9826)	Prec@1 48.500 (48.455)	Prec@5 79.500 (78.882)
Epoch: [59][1400/9018]	Time 0.626 (0.637)	Data 0.001 (0.004)	Loss 2.2025 (1.9830)	Prec@1 42.500 (48.448)	Prec@5 77.500 (78.875)
Epoch: [59][1410/9018]	Time 0.636 (0.637)	Data 0.001 (0.004)	Loss 2.1104 (1.9834)	Prec@1 46.500 (48.444)	Prec@5 79.000 (78.866)
Epoch: [59][1420/9018]	Time 0.654 (0.637)	Data 0.007 (0.004)	Loss 2.0079 (1.9838)	Prec@1 43.000 (48.433)	Prec@5 78.500 (78.862)
Epoch: [59][1430/9018]	Time 0.589 (0.637)	Data 0.001 (0.004)	Loss 1.9600 (1.9839)	Prec@1 50.000 (48.438)	Prec@5 80.000 (78.859)
Epoch: [59][1440/9018]	Time 0.618 (0.636)	Data 0.001 (0.004)	Loss 2.0549 (1.9841)	Prec@1 47.500 (48.427)	Prec@5 77.500 (78.862)
Epoch: [59][1450/9018]	Time 0.647 (0.636)	Data 0.015 (0.004)	Loss 2.0635 (1.9844)	Prec@1 46.000 (48.425)	Prec@5 79.500 (78.857)
Epoch: [59][1460/9018]	Time 0.634 (0.637)	Data 0.016 (0.004)	Loss 2.1353 (1.9847)	Prec@1 46.500 (48.421)	Prec@5 77.500 (78.846)
Epoch: [59][1470/9018]	Time 0.647 (0.636)	Data 0.001 (0.004)	Loss 2.2180 (1.9847)	Prec@1 50.000 (48.421)	Prec@5 75.000 (78.844)
Epoch: [59][1480/9018]	Time 0.614 (0.636)	Data 0.001 (0.004)	Loss 1.8298 (1.9844)	Prec@1 48.500 (48.422)	Prec@5 81.000 (78.846)
Epoch: [59][1490/9018]	Time 0.622 (0.636)	Data 0.001 (0.004)	Loss 1.8866 (1.9845)	Prec@1 48.500 (48.415)	Prec@5 82.500 (78.842)
Epoch: [59][1500/9018]	Time 0.634 (0.636)	Data 0.001 (0.004)	Loss 1.8925 (1.9850)	Prec@1 50.000 (48.409)	Prec@5 78.000 (78.832)
Epoch: [59][1510/9018]	Time 0.628 (0.636)	Data 0.001 (0.004)	Loss 1.9990 (1.9848)	Prec@1 47.000 (48.418)	Prec@5 78.500 (78.835)
Epoch: [59][1520/9018]	Time 0.608 (0.636)	Data 0.001 (0.004)	Loss 2.0107 (1.9851)	Prec@1 48.000 (48.411)	Prec@5 79.500 (78.839)
Epoch: [59][1530/9018]	Time 0.637 (0.636)	Data 0.001 (0.004)	Loss 1.7620 (1.9849)	Prec@1 53.000 (48.415)	Prec@5 85.000 (78.839)
Epoch: [59][1540/9018]	Time 0.607 (0.636)	Data 0.002 (0.004)	Loss 2.1239 (1.9852)	Prec@1 48.500 (48.418)	Prec@5 75.500 (78.835)
Epoch: [59][1550/9018]	Time 0.622 (0.636)	Data 0.001 (0.004)	Loss 1.9451 (1.9855)	Prec@1 49.000 (48.413)	Prec@5 78.000 (78.834)
Epoch: [59][1560/9018]	Time 0.611 (0.636)	Data 0.001 (0.004)	Loss 2.0237 (1.9854)	Prec@1 47.500 (48.415)	Prec@5 77.500 (78.840)
Epoch: [59][1570/9018]	Time 0.618 (0.636)	Data 0.001 (0.004)	Loss 1.9872 (1.9856)	Prec@1 50.500 (48.413)	Prec@5 80.000 (78.837)
Epoch: [59][1580/9018]	Time 0.643 (0.636)	Data 0.001 (0.004)	Loss 2.1766 (1.9857)	Prec@1 49.000 (48.420)	Prec@5 75.000 (78.832)
Epoch: [59][1590/9018]	Time 0.775 (0.636)	Data 0.001 (0.004)	Loss 2.1387 (1.9861)	Prec@1 46.000 (48.402)	Prec@5 78.000 (78.832)
Epoch: [59][1600/9018]	Time 0.627 (0.636)	Data 0.001 (0.004)	Loss 1.9436 (1.9862)	Prec@1 47.500 (48.390)	Prec@5 79.500 (78.831)
Epoch: [59][1610/9018]	Time 0.622 (0.636)	Data 0.001 (0.004)	Loss 1.9546 (1.9861)	Prec@1 46.500 (48.386)	Prec@5 75.500 (78.833)
Epoch: [59][1620/9018]	Time 0.617 (0.636)	Data 0.001 (0.004)	Loss 2.0291 (1.9863)	Prec@1 47.000 (48.378)	Prec@5 79.500 (78.835)
Epoch: [59][1630/9018]	Time 0.636 (0.636)	Data 0.001 (0.004)	Loss 1.9812 (1.9863)	Prec@1 47.000 (48.384)	Prec@5 79.500 (78.831)
Epoch: [59][1640/9018]	Time 0.778 (0.636)	Data 0.013 (0.004)	Loss 2.0147 (1.9862)	Prec@1 50.000 (48.385)	Prec@5 83.500 (78.833)
Epoch: [59][1650/9018]	Time 0.610 (0.636)	Data 0.001 (0.004)	Loss 1.6962 (1.9860)	Prec@1 55.000 (48.391)	Prec@5 86.000 (78.842)
Epoch: [59][1660/9018]	Time 0.651 (0.636)	Data 0.001 (0.004)	Loss 1.9069 (1.9864)	Prec@1 49.000 (48.389)	Prec@5 80.500 (78.834)
Epoch: [59][1670/9018]	Time 0.637 (0.636)	Data 0.001 (0.004)	Loss 2.0165 (1.9862)	Prec@1 46.000 (48.395)	Prec@5 79.000 (78.842)
Epoch: [59][1680/9018]	Time 0.627 (0.636)	Data 0.001 (0.004)	Loss 1.9989 (1.9863)	Prec@1 49.500 (48.392)	Prec@5 76.500 (78.840)
Epoch: [59][1690/9018]	Time 0.612 (0.636)	Data 0.001 (0.004)	Loss 1.9374 (1.9861)	Prec@1 48.000 (48.406)	Prec@5 79.500 (78.843)
Epoch: [59][1700/9018]	Time 0.640 (0.636)	Data 0.003 (0.004)	Loss 1.8926 (1.9862)	Prec@1 55.500 (48.413)	Prec@5 80.000 (78.844)
Epoch: [59][1710/9018]	Time 0.612 (0.636)	Data 0.001 (0.004)	Loss 2.2003 (1.9862)	Prec@1 47.500 (48.416)	Prec@5 74.500 (78.847)
Epoch: [59][1720/9018]	Time 0.617 (0.636)	Data 0.001 (0.004)	Loss 1.9662 (1.9863)	Prec@1 44.500 (48.408)	Prec@5 77.000 (78.845)
Epoch: [59][1730/9018]	Time 0.629 (0.636)	Data 0.003 (0.004)	Loss 1.7592 (1.9862)	Prec@1 51.500 (48.412)	Prec@5 84.500 (78.846)
Epoch: [59][1740/9018]	Time 0.634 (0.636)	Data 0.001 (0.004)	Loss 2.0268 (1.9859)	Prec@1 51.500 (48.421)	Prec@5 79.000 (78.849)
Epoch: [59][1750/9018]	Time 0.636 (0.636)	Data 0.001 (0.004)	Loss 1.9199 (1.9854)	Prec@1 49.000 (48.431)	Prec@5 79.500 (78.856)
Epoch: [59][1760/9018]	Time 0.632 (0.636)	Data 0.017 (0.004)	Loss 2.0317 (1.9856)	Prec@1 46.500 (48.435)	Prec@5 77.000 (78.847)
Epoch: [59][1770/9018]	Time 0.630 (0.636)	Data 0.001 (0.004)	Loss 1.7988 (1.9854)	Prec@1 53.500 (48.436)	Prec@5 78.000 (78.845)
Epoch: [59][1780/9018]	Time 0.633 (0.636)	Data 0.001 (0.004)	Loss 1.9335 (1.9853)	Prec@1 51.500 (48.439)	Prec@5 77.500 (78.843)
Epoch: [59][1790/9018]	Time 0.619 (0.636)	Data 0.001 (0.004)	Loss 1.9307 (1.9853)	Prec@1 49.000 (48.432)	Prec@5 80.000 (78.844)
Epoch: [59][1800/9018]	Time 0.633 (0.636)	Data 0.001 (0.004)	Loss 1.9580 (1.9856)	Prec@1 53.500 (48.432)	Prec@5 79.000 (78.837)
Epoch: [59][1810/9018]	Time 0.621 (0.636)	Data 0.001 (0.004)	Loss 2.0467 (1.9854)	Prec@1 45.500 (48.433)	Prec@5 77.000 (78.838)
Epoch: [59][1820/9018]	Time 0.623 (0.636)	Data 0.013 (0.004)	Loss 1.8332 (1.9857)	Prec@1 48.500 (48.430)	Prec@5 85.500 (78.832)
Epoch: [59][1830/9018]	Time 0.633 (0.636)	Data 0.001 (0.004)	Loss 1.9054 (1.9855)	Prec@1 51.500 (48.435)	Prec@5 77.500 (78.832)
Epoch: [59][1840/9018]	Time 0.634 (0.636)	Data 0.014 (0.004)	Loss 1.7587 (1.9855)	Prec@1 50.500 (48.434)	Prec@5 83.000 (78.831)
Epoch: [59][1850/9018]	Time 0.620 (0.636)	Data 0.001 (0.004)	Loss 1.8818 (1.9856)	Prec@1 50.000 (48.434)	Prec@5 81.000 (78.828)
Epoch: [59][1860/9018]	Time 0.589 (0.636)	Data 0.001 (0.004)	Loss 2.1785 (1.9860)	Prec@1 43.500 (48.427)	Prec@5 76.000 (78.821)
Epoch: [59][1870/9018]	Time 0.627 (0.636)	Data 0.001 (0.004)	Loss 1.9420 (1.9861)	Prec@1 49.000 (48.432)	Prec@5 79.000 (78.820)
Epoch: [59][1880/9018]	Time 0.627 (0.636)	Data 0.010 (0.004)	Loss 2.0662 (1.9862)	Prec@1 48.500 (48.436)	Prec@5 77.000 (78.812)
Epoch: [59][1890/9018]	Time 0.628 (0.636)	Data 0.001 (0.004)	Loss 2.1499 (1.9866)	Prec@1 47.500 (48.433)	Prec@5 75.500 (78.808)
Epoch: [59][1900/9018]	Time 0.625 (0.636)	Data 0.001 (0.004)	Loss 1.8780 (1.9866)	Prec@1 48.500 (48.432)	Prec@5 79.000 (78.804)
Epoch: [59][1910/9018]	Time 0.604 (0.636)	Data 0.001 (0.004)	Loss 2.1207 (1.9866)	Prec@1 43.000 (48.435)	Prec@5 73.500 (78.804)
Epoch: [59][1920/9018]	Time 0.738 (0.636)	Data 0.017 (0.004)	Loss 2.2364 (1.9868)	Prec@1 40.000 (48.431)	Prec@5 77.500 (78.796)
Epoch: [59][1930/9018]	Time 0.619 (0.636)	Data 0.001 (0.004)	Loss 1.9204 (1.9870)	Prec@1 48.500 (48.422)	Prec@5 79.500 (78.790)
Epoch: [59][1940/9018]	Time 0.611 (0.636)	Data 0.001 (0.004)	Loss 1.9471 (1.9870)	Prec@1 50.000 (48.425)	Prec@5 79.000 (78.791)
Epoch: [59][1950/9018]	Time 0.600 (0.635)	Data 0.001 (0.004)	Loss 2.0015 (1.9871)	Prec@1 45.000 (48.422)	Prec@5 78.500 (78.791)
Epoch: [59][1960/9018]	Time 0.602 (0.635)	Data 0.001 (0.004)	Loss 1.9255 (1.9874)	Prec@1 50.000 (48.425)	Prec@5 79.500 (78.784)
Epoch: [59][1970/9018]	Time 0.749 (0.635)	Data 0.001 (0.004)	Loss 2.1211 (1.9874)	Prec@1 49.000 (48.430)	Prec@5 77.000 (78.789)
Epoch: [59][1980/9018]	Time 0.611 (0.635)	Data 0.001 (0.004)	Loss 1.8847 (1.9873)	Prec@1 46.000 (48.430)	Prec@5 81.500 (78.795)
Epoch: [59][1990/9018]	Time 0.620 (0.635)	Data 0.001 (0.004)	Loss 2.0613 (1.9873)	Prec@1 41.500 (48.426)	Prec@5 81.000 (78.790)
Epoch: [59][2000/9018]	Time 0.607 (0.635)	Data 0.001 (0.004)	Loss 1.9207 (1.9873)	Prec@1 51.500 (48.425)	Prec@5 80.500 (78.791)
Epoch: [59][2010/9018]	Time 0.613 (0.635)	Data 0.001 (0.003)	Loss 1.9036 (1.9872)	Prec@1 49.500 (48.427)	Prec@5 80.500 (78.792)
Epoch: [59][2020/9018]	Time 0.653 (0.635)	Data 0.017 (0.004)	Loss 1.9241 (1.9869)	Prec@1 52.000 (48.437)	Prec@5 78.500 (78.796)
Epoch: [59][2030/9018]	Time 0.611 (0.635)	Data 0.001 (0.004)	Loss 1.9149 (1.9868)	Prec@1 50.000 (48.435)	Prec@5 79.000 (78.798)
Epoch: [59][2040/9018]	Time 0.668 (0.635)	Data 0.014 (0.004)	Loss 1.7831 (1.9868)	Prec@1 57.000 (48.434)	Prec@5 83.500 (78.796)
Epoch: [59][2050/9018]	Time 0.609 (0.635)	Data 0.001 (0.004)	Loss 1.9659 (1.9867)	Prec@1 48.000 (48.431)	Prec@5 80.000 (78.803)
Epoch: [59][2060/9018]	Time 0.604 (0.635)	Data 0.001 (0.004)	Loss 1.7247 (1.9863)	Prec@1 53.500 (48.437)	Prec@5 85.500 (78.812)
Epoch: [59][2070/9018]	Time 0.638 (0.635)	Data 0.001 (0.004)	Loss 1.7577 (1.9866)	Prec@1 52.000 (48.430)	Prec@5 84.500 (78.813)
Epoch: [59][2080/9018]	Time 0.611 (0.635)	Data 0.001 (0.004)	Loss 1.9381 (1.9865)	Prec@1 48.000 (48.431)	Prec@5 79.500 (78.813)
Epoch: [59][2090/9018]	Time 0.626 (0.635)	Data 0.001 (0.004)	Loss 2.1748 (1.9866)	Prec@1 45.000 (48.432)	Prec@5 76.000 (78.813)
Epoch: [59][2100/9018]	Time 0.618 (0.635)	Data 0.001 (0.003)	Loss 1.9845 (1.9869)	Prec@1 48.500 (48.419)	Prec@5 77.000 (78.807)
Epoch: [59][2110/9018]	Time 0.618 (0.635)	Data 0.001 (0.003)	Loss 1.8658 (1.9869)	Prec@1 54.000 (48.419)	Prec@5 82.000 (78.813)
Epoch: [59][2120/9018]	Time 0.619 (0.635)	Data 0.001 (0.003)	Loss 2.1262 (1.9868)	Prec@1 44.500 (48.419)	Prec@5 77.500 (78.813)
Epoch: [59][2130/9018]	Time 0.621 (0.635)	Data 0.001 (0.003)	Loss 2.0252 (1.9871)	Prec@1 47.500 (48.413)	Prec@5 78.500 (78.811)
Epoch: [59][2140/9018]	Time 0.616 (0.635)	Data 0.013 (0.003)	Loss 2.1837 (1.9873)	Prec@1 48.500 (48.414)	Prec@5 74.500 (78.805)
Epoch: [59][2150/9018]	Time 0.606 (0.634)	Data 0.001 (0.003)	Loss 2.0302 (1.9873)	Prec@1 47.000 (48.417)	Prec@5 79.500 (78.807)
Epoch: [59][2160/9018]	Time 0.635 (0.634)	Data 0.001 (0.003)	Loss 1.8355 (1.9871)	Prec@1 51.000 (48.412)	Prec@5 84.500 (78.812)
Epoch: [59][2170/9018]	Time 0.638 (0.634)	Data 0.001 (0.003)	Loss 2.1219 (1.9872)	Prec@1 44.500 (48.412)	Prec@5 75.000 (78.811)
Epoch: [59][2180/9018]	Time 0.618 (0.634)	Data 0.001 (0.003)	Loss 2.0878 (1.9871)	Prec@1 45.500 (48.413)	Prec@5 77.500 (78.812)
Epoch: [59][2190/9018]	Time 0.611 (0.634)	Data 0.001 (0.003)	Loss 1.8902 (1.9871)	Prec@1 51.500 (48.410)	Prec@5 79.500 (78.810)
Epoch: [59][2200/9018]	Time 0.609 (0.634)	Data 0.001 (0.003)	Loss 1.9460 (1.9870)	Prec@1 50.000 (48.410)	Prec@5 81.000 (78.817)
Epoch: [59][2210/9018]	Time 0.639 (0.634)	Data 0.001 (0.003)	Loss 2.1065 (1.9870)	Prec@1 47.500 (48.410)	Prec@5 80.000 (78.818)
Epoch: [59][2220/9018]	Time 0.592 (0.634)	Data 0.001 (0.003)	Loss 1.8787 (1.9871)	Prec@1 53.500 (48.414)	Prec@5 80.500 (78.821)
Epoch: [59][2230/9018]	Time 0.598 (0.634)	Data 0.001 (0.003)	Loss 2.1573 (1.9873)	Prec@1 41.000 (48.409)	Prec@5 79.000 (78.822)
Epoch: [59][2240/9018]	Time 0.619 (0.634)	Data 0.001 (0.003)	Loss 1.9322 (1.9872)	Prec@1 49.500 (48.410)	Prec@5 82.500 (78.825)
Epoch: [59][2250/9018]	Time 0.786 (0.634)	Data 0.001 (0.003)	Loss 2.1379 (1.9875)	Prec@1 41.500 (48.408)	Prec@5 76.000 (78.820)
Epoch: [59][2260/9018]	Time 0.609 (0.634)	Data 0.001 (0.003)	Loss 1.9529 (1.9877)	Prec@1 48.000 (48.409)	Prec@5 79.000 (78.814)
Epoch: [59][2270/9018]	Time 0.621 (0.634)	Data 0.001 (0.003)	Loss 1.9399 (1.9874)	Prec@1 54.000 (48.419)	Prec@5 77.000 (78.818)
Epoch: [59][2280/9018]	Time 0.587 (0.634)	Data 0.001 (0.003)	Loss 1.8627 (1.9874)	Prec@1 51.500 (48.419)	Prec@5 80.500 (78.819)
Epoch: [59][2290/9018]	Time 0.608 (0.634)	Data 0.001 (0.003)	Loss 2.2316 (1.9876)	Prec@1 42.500 (48.408)	Prec@5 75.500 (78.817)
Epoch: [59][2300/9018]	Time 0.742 (0.634)	Data 0.001 (0.003)	Loss 1.8702 (1.9879)	Prec@1 54.000 (48.403)	Prec@5 80.500 (78.810)
Epoch: [59][2310/9018]	Time 0.603 (0.634)	Data 0.001 (0.003)	Loss 2.2124 (1.9879)	Prec@1 45.000 (48.409)	Prec@5 76.000 (78.811)
Epoch: [59][2320/9018]	Time 0.665 (0.634)	Data 0.001 (0.003)	Loss 1.7877 (1.9879)	Prec@1 54.000 (48.411)	Prec@5 80.500 (78.814)
Epoch: [59][2330/9018]	Time 0.604 (0.634)	Data 0.001 (0.003)	Loss 1.9707 (1.9881)	Prec@1 47.000 (48.403)	Prec@5 77.000 (78.813)
Epoch: [59][2340/9018]	Time 0.593 (0.633)	Data 0.001 (0.003)	Loss 2.0493 (1.9879)	Prec@1 52.000 (48.409)	Prec@5 77.000 (78.816)
Epoch: [59][2350/9018]	Time 0.603 (0.633)	Data 0.001 (0.003)	Loss 2.1702 (1.9880)	Prec@1 46.000 (48.410)	Prec@5 76.000 (78.816)
Epoch: [59][2360/9018]	Time 0.608 (0.633)	Data 0.001 (0.003)	Loss 2.0567 (1.9883)	Prec@1 47.000 (48.406)	Prec@5 74.500 (78.806)
Epoch: [59][2370/9018]	Time 0.596 (0.633)	Data 0.001 (0.003)	Loss 2.2908 (1.9887)	Prec@1 43.500 (48.404)	Prec@5 73.000 (78.797)
Epoch: [59][2380/9018]	Time 0.617 (0.633)	Data 0.001 (0.003)	Loss 2.0022 (1.9888)	Prec@1 49.500 (48.400)	Prec@5 82.000 (78.795)
Epoch: [59][2390/9018]	Time 0.607 (0.633)	Data 0.001 (0.003)	Loss 2.1006 (1.9891)	Prec@1 45.000 (48.393)	Prec@5 79.000 (78.789)
Epoch: [59][2400/9018]	Time 0.645 (0.633)	Data 0.001 (0.003)	Loss 2.1508 (1.9891)	Prec@1 50.000 (48.392)	Prec@5 71.500 (78.791)
Epoch: [59][2410/9018]	Time 0.591 (0.633)	Data 0.001 (0.003)	Loss 1.9427 (1.9891)	Prec@1 51.500 (48.394)	Prec@5 77.500 (78.789)
Epoch: [59][2420/9018]	Time 0.600 (0.633)	Data 0.001 (0.003)	Loss 2.3500 (1.9895)	Prec@1 42.500 (48.390)	Prec@5 72.000 (78.783)
Epoch: [59][2430/9018]	Time 0.621 (0.633)	Data 0.001 (0.003)	Loss 1.8695 (1.9894)	Prec@1 49.000 (48.392)	Prec@5 81.500 (78.786)
Epoch: [59][2440/9018]	Time 0.608 (0.633)	Data 0.017 (0.003)	Loss 2.1412 (1.9896)	Prec@1 46.500 (48.387)	Prec@5 74.500 (78.781)
Epoch: [59][2450/9018]	Time 0.605 (0.633)	Data 0.001 (0.003)	Loss 2.2412 (1.9898)	Prec@1 40.500 (48.382)	Prec@5 73.500 (78.776)
Epoch: [59][2460/9018]	Time 0.594 (0.633)	Data 0.001 (0.003)	Loss 1.7558 (1.9896)	Prec@1 54.000 (48.389)	Prec@5 85.500 (78.781)
Epoch: [59][2470/9018]	Time 0.620 (0.633)	Data 0.001 (0.003)	Loss 2.1094 (1.9895)	Prec@1 46.500 (48.387)	Prec@5 77.500 (78.783)
Epoch: [59][2480/9018]	Time 0.601 (0.633)	Data 0.001 (0.003)	Loss 2.1206 (1.9896)	Prec@1 44.500 (48.384)	Prec@5 75.500 (78.782)
Epoch: [59][2490/9018]	Time 0.608 (0.633)	Data 0.001 (0.003)	Loss 1.9589 (1.9894)	Prec@1 50.000 (48.387)	Prec@5 76.000 (78.785)
Epoch: [59][2500/9018]	Time 0.631 (0.633)	Data 0.001 (0.003)	Loss 1.9845 (1.9895)	Prec@1 47.500 (48.386)	Prec@5 77.000 (78.783)
Epoch: [59][2510/9018]	Time 0.596 (0.633)	Data 0.001 (0.003)	Loss 2.0684 (1.9898)	Prec@1 45.500 (48.375)	Prec@5 76.500 (78.780)
Epoch: [59][2520/9018]	Time 0.618 (0.633)	Data 0.013 (0.003)	Loss 2.0338 (1.9898)	Prec@1 46.000 (48.371)	Prec@5 77.500 (78.778)
Epoch: [59][2530/9018]	Time 0.597 (0.633)	Data 0.001 (0.003)	Loss 1.8517 (1.9897)	Prec@1 54.500 (48.371)	Prec@5 81.000 (78.781)
Epoch: [59][2540/9018]	Time 0.603 (0.633)	Data 0.001 (0.003)	Loss 1.9288 (1.9895)	Prec@1 51.000 (48.377)	Prec@5 80.500 (78.785)
Epoch: [59][2550/9018]	Time 0.636 (0.633)	Data 0.001 (0.003)	Loss 2.0634 (1.9897)	Prec@1 48.500 (48.374)	Prec@5 79.000 (78.781)
Epoch: [59][2560/9018]	Time 0.607 (0.633)	Data 0.001 (0.003)	Loss 2.0516 (1.9896)	Prec@1 43.000 (48.379)	Prec@5 79.500 (78.783)
Epoch: [59][2570/9018]	Time 0.601 (0.633)	Data 0.001 (0.003)	Loss 2.0398 (1.9898)	Prec@1 46.000 (48.376)	Prec@5 78.000 (78.777)
Epoch: [59][2580/9018]	Time 0.774 (0.633)	Data 0.001 (0.003)	Loss 2.0024 (1.9897)	Prec@1 48.000 (48.373)	Prec@5 76.500 (78.778)
Epoch: [59][2590/9018]	Time 0.670 (0.632)	Data 0.001 (0.003)	Loss 2.0182 (1.9896)	Prec@1 52.000 (48.376)	Prec@5 77.000 (78.777)
Epoch: [59][2600/9018]	Time 0.622 (0.632)	Data 0.001 (0.003)	Loss 1.8605 (1.9897)	Prec@1 52.500 (48.376)	Prec@5 79.000 (78.774)
Epoch: [59][2610/9018]	Time 0.598 (0.632)	Data 0.001 (0.003)	Loss 2.0259 (1.9898)	Prec@1 44.500 (48.373)	Prec@5 81.500 (78.775)
Epoch: [59][2620/9018]	Time 0.607 (0.632)	Data 0.014 (0.003)	Loss 2.0048 (1.9897)	Prec@1 50.000 (48.376)	Prec@5 76.000 (78.778)
Epoch: [59][2630/9018]	Time 0.767 (0.632)	Data 0.001 (0.003)	Loss 1.9549 (1.9896)	Prec@1 47.500 (48.376)	Prec@5 75.000 (78.781)
Epoch: [59][2640/9018]	Time 0.601 (0.632)	Data 0.001 (0.003)	Loss 2.0538 (1.9896)	Prec@1 46.500 (48.376)	Prec@5 78.500 (78.782)
Epoch: [59][2650/9018]	Time 0.600 (0.632)	Data 0.001 (0.003)	Loss 1.8334 (1.9893)	Prec@1 53.500 (48.382)	Prec@5 80.000 (78.789)
Epoch: [59][2660/9018]	Time 0.595 (0.632)	Data 0.001 (0.003)	Loss 1.9190 (1.9891)	Prec@1 46.000 (48.389)	Prec@5 82.500 (78.792)
Epoch: [59][2670/9018]	Time 0.595 (0.632)	Data 0.001 (0.003)	Loss 1.9739 (1.9889)	Prec@1 46.500 (48.389)	Prec@5 81.500 (78.798)
Epoch: [59][2680/9018]	Time 0.639 (0.632)	Data 0.001 (0.003)	Loss 1.7875 (1.9889)	Prec@1 50.500 (48.388)	Prec@5 80.000 (78.792)
Epoch: [59][2690/9018]	Time 0.626 (0.632)	Data 0.001 (0.003)	Loss 1.9635 (1.9889)	Prec@1 48.500 (48.392)	Prec@5 81.500 (78.792)
Epoch: [59][2700/9018]	Time 0.605 (0.632)	Data 0.001 (0.003)	Loss 1.7807 (1.9886)	Prec@1 52.000 (48.398)	Prec@5 83.000 (78.797)
Epoch: [59][2710/9018]	Time 0.611 (0.632)	Data 0.001 (0.003)	Loss 2.0656 (1.9886)	Prec@1 45.500 (48.393)	Prec@5 78.000 (78.800)
Epoch: [59][2720/9018]	Time 0.597 (0.632)	Data 0.001 (0.003)	Loss 1.9751 (1.9884)	Prec@1 52.500 (48.403)	Prec@5 79.000 (78.806)
Epoch: [59][2730/9018]	Time 0.628 (0.632)	Data 0.001 (0.003)	Loss 2.0238 (1.9884)	Prec@1 48.500 (48.404)	Prec@5 81.000 (78.807)
Epoch: [59][2740/9018]	Time 0.614 (0.632)	Data 0.001 (0.003)	Loss 2.1145 (1.9886)	Prec@1 45.000 (48.397)	Prec@5 79.500 (78.806)
Epoch: [59][2750/9018]	Time 0.601 (0.632)	Data 0.001 (0.003)	Loss 2.0759 (1.9886)	Prec@1 48.000 (48.399)	Prec@5 77.000 (78.805)
Epoch: [59][2760/9018]	Time 0.588 (0.632)	Data 0.001 (0.003)	Loss 2.1381 (1.9888)	Prec@1 45.500 (48.393)	Prec@5 78.500 (78.801)
Epoch: [59][2770/9018]	Time 0.617 (0.632)	Data 0.001 (0.003)	Loss 1.9753 (1.9887)	Prec@1 44.500 (48.395)	Prec@5 78.500 (78.805)
Epoch: [59][2780/9018]	Time 0.606 (0.632)	Data 0.001 (0.003)	Loss 1.9382 (1.9885)	Prec@1 48.500 (48.399)	Prec@5 79.000 (78.807)
Epoch: [59][2790/9018]	Time 0.607 (0.632)	Data 0.001 (0.003)	Loss 2.0003 (1.9884)	Prec@1 47.000 (48.402)	Prec@5 81.000 (78.809)
Epoch: [59][2800/9018]	Time 0.625 (0.632)	Data 0.001 (0.003)	Loss 2.0140 (1.9884)	Prec@1 50.500 (48.404)	Prec@5 79.000 (78.808)
Epoch: [59][2810/9018]	Time 0.603 (0.632)	Data 0.001 (0.003)	Loss 1.7859 (1.9883)	Prec@1 47.500 (48.405)	Prec@5 84.000 (78.808)
Epoch: [59][2820/9018]	Time 0.636 (0.632)	Data 0.001 (0.003)	Loss 1.9756 (1.9882)	Prec@1 48.500 (48.407)	Prec@5 81.500 (78.812)
Epoch: [59][2830/9018]	Time 0.615 (0.632)	Data 0.001 (0.003)	Loss 2.1156 (1.9883)	Prec@1 46.500 (48.404)	Prec@5 80.500 (78.806)
Epoch: [59][2840/9018]	Time 0.623 (0.632)	Data 0.001 (0.003)	Loss 1.9392 (1.9884)	Prec@1 48.000 (48.403)	Prec@5 79.500 (78.805)
Epoch: [59][2850/9018]	Time 0.594 (0.632)	Data 0.001 (0.003)	Loss 2.2324 (1.9884)	Prec@1 40.000 (48.401)	Prec@5 73.500 (78.803)
Epoch: [59][2860/9018]	Time 0.609 (0.632)	Data 0.001 (0.003)	Loss 1.9290 (1.9883)	Prec@1 50.000 (48.400)	Prec@5 80.000 (78.804)
Epoch: [59][2870/9018]	Time 0.620 (0.632)	Data 0.001 (0.003)	Loss 2.0948 (1.9883)	Prec@1 48.500 (48.400)	Prec@5 78.000 (78.807)
Epoch: [59][2880/9018]	Time 0.633 (0.632)	Data 0.001 (0.003)	Loss 2.0645 (1.9884)	Prec@1 42.000 (48.397)	Prec@5 82.000 (78.809)
Epoch: [59][2890/9018]	Time 0.602 (0.632)	Data 0.001 (0.003)	Loss 2.0318 (1.9884)	Prec@1 49.500 (48.399)	Prec@5 79.000 (78.811)
Epoch: [59][2900/9018]	Time 0.642 (0.632)	Data 0.001 (0.003)	Loss 1.8891 (1.9884)	Prec@1 50.000 (48.398)	Prec@5 80.000 (78.806)
Epoch: [59][2910/9018]	Time 0.784 (0.632)	Data 0.001 (0.003)	Loss 1.9792 (1.9886)	Prec@1 49.000 (48.398)	Prec@5 80.500 (78.801)
Epoch: [59][2920/9018]	Time 0.624 (0.632)	Data 0.001 (0.003)	Loss 1.9300 (1.9886)	Prec@1 51.500 (48.398)	Prec@5 81.000 (78.806)
Epoch: [59][2930/9018]	Time 0.619 (0.632)	Data 0.001 (0.003)	Loss 2.2550 (1.9884)	Prec@1 41.500 (48.397)	Prec@5 74.500 (78.810)
Epoch: [59][2940/9018]	Time 0.618 (0.632)	Data 0.001 (0.003)	Loss 1.9495 (1.9884)	Prec@1 47.000 (48.396)	Prec@5 78.000 (78.808)
Epoch: [59][2950/9018]	Time 0.643 (0.632)	Data 0.001 (0.003)	Loss 2.1224 (1.9885)	Prec@1 49.000 (48.398)	Prec@5 73.500 (78.803)
Epoch: [59][2960/9018]	Time 0.768 (0.632)	Data 0.001 (0.003)	Loss 1.9333 (1.9887)	Prec@1 48.500 (48.395)	Prec@5 79.500 (78.797)
Epoch: [59][2970/9018]	Time 0.620 (0.632)	Data 0.001 (0.003)	Loss 1.9924 (1.9887)	Prec@1 51.000 (48.394)	Prec@5 77.500 (78.798)
Epoch: [59][2980/9018]	Time 0.619 (0.632)	Data 0.001 (0.003)	Loss 1.9172 (1.9888)	Prec@1 50.000 (48.395)	Prec@5 75.500 (78.792)
Epoch: [59][2990/9018]	Time 0.635 (0.631)	Data 0.001 (0.003)	Loss 1.9574 (1.9889)	Prec@1 51.000 (48.397)	Prec@5 79.500 (78.790)
Epoch: [59][3000/9018]	Time 0.650 (0.632)	Data 0.001 (0.003)	Loss 2.1727 (1.9888)	Prec@1 46.500 (48.401)	Prec@5 74.000 (78.791)
Epoch: [59][3010/9018]	Time 0.621 (0.631)	Data 0.001 (0.003)	Loss 2.1044 (1.9888)	Prec@1 46.000 (48.404)	Prec@5 76.000 (78.791)
Epoch: [59][3020/9018]	Time 0.609 (0.631)	Data 0.001 (0.003)	Loss 2.2135 (1.9887)	Prec@1 45.000 (48.406)	Prec@5 75.500 (78.790)
Epoch: [59][3030/9018]	Time 0.612 (0.631)	Data 0.001 (0.003)	Loss 1.9546 (1.9887)	Prec@1 47.500 (48.406)	Prec@5 80.500 (78.791)
Epoch: [59][3040/9018]	Time 0.613 (0.631)	Data 0.001 (0.003)	Loss 1.8693 (1.9887)	Prec@1 50.000 (48.410)	Prec@5 81.500 (78.791)
Epoch: [59][3050/9018]	Time 0.612 (0.631)	Data 0.001 (0.003)	Loss 2.0837 (1.9886)	Prec@1 47.000 (48.415)	Prec@5 76.500 (78.791)
Epoch: [59][3060/9018]	Time 0.637 (0.631)	Data 0.001 (0.003)	Loss 1.9320 (1.9890)	Prec@1 47.000 (48.404)	Prec@5 78.500 (78.787)
Epoch: [59][3070/9018]	Time 0.623 (0.631)	Data 0.001 (0.003)	Loss 1.9592 (1.9889)	Prec@1 51.000 (48.407)	Prec@5 76.500 (78.789)
Epoch: [59][3080/9018]	Time 0.636 (0.631)	Data 0.001 (0.003)	Loss 2.1419 (1.9891)	Prec@1 43.000 (48.402)	Prec@5 74.000 (78.785)
Epoch: [59][3090/9018]	Time 0.605 (0.631)	Data 0.001 (0.003)	Loss 2.0272 (1.9892)	Prec@1 46.000 (48.397)	Prec@5 79.000 (78.786)
Epoch: [59][3100/9018]	Time 0.592 (0.631)	Data 0.001 (0.003)	Loss 1.9595 (1.9893)	Prec@1 46.500 (48.394)	Prec@5 79.500 (78.786)
Epoch: [59][3110/9018]	Time 0.617 (0.631)	Data 0.002 (0.003)	Loss 2.0347 (1.9894)	Prec@1 50.000 (48.392)	Prec@5 75.500 (78.783)
Epoch: [59][3120/9018]	Time 0.603 (0.631)	Data 0.001 (0.003)	Loss 2.0239 (1.9894)	Prec@1 47.000 (48.396)	Prec@5 78.500 (78.781)
Epoch: [59][3130/9018]	Time 0.634 (0.631)	Data 0.001 (0.003)	Loss 1.7375 (1.9895)	Prec@1 55.000 (48.392)	Prec@5 80.000 (78.779)
Epoch: [59][3140/9018]	Time 0.616 (0.631)	Data 0.001 (0.003)	Loss 2.2166 (1.9895)	Prec@1 44.000 (48.386)	Prec@5 76.000 (78.779)
Epoch: [59][3150/9018]	Time 0.613 (0.631)	Data 0.001 (0.003)	Loss 2.1605 (1.9894)	Prec@1 47.000 (48.389)	Prec@5 76.000 (78.780)
Epoch: [59][3160/9018]	Time 0.600 (0.631)	Data 0.001 (0.003)	Loss 1.8082 (1.9895)	Prec@1 52.500 (48.382)	Prec@5 80.000 (78.780)
Epoch: [59][3170/9018]	Time 0.635 (0.631)	Data 0.001 (0.003)	Loss 1.9985 (1.9895)	Prec@1 49.000 (48.385)	Prec@5 83.500 (78.781)
Epoch: [59][3180/9018]	Time 0.610 (0.631)	Data 0.013 (0.003)	Loss 1.8958 (1.9894)	Prec@1 49.500 (48.384)	Prec@5 77.500 (78.783)
Epoch: [59][3190/9018]	Time 0.639 (0.631)	Data 0.001 (0.003)	Loss 2.0582 (1.9895)	Prec@1 50.500 (48.381)	Prec@5 78.500 (78.779)
Epoch: [59][3200/9018]	Time 0.604 (0.631)	Data 0.001 (0.003)	Loss 2.0756 (1.9895)	Prec@1 47.500 (48.379)	Prec@5 76.000 (78.777)
Epoch: [59][3210/9018]	Time 0.643 (0.631)	Data 0.001 (0.003)	Loss 2.0667 (1.9896)	Prec@1 50.000 (48.376)	Prec@5 75.000 (78.773)
Epoch: [59][3220/9018]	Time 0.600 (0.631)	Data 0.003 (0.003)	Loss 1.8296 (1.9894)	Prec@1 53.000 (48.381)	Prec@5 81.500 (78.776)
Epoch: [59][3230/9018]	Time 0.621 (0.631)	Data 0.001 (0.003)	Loss 2.2002 (1.9896)	Prec@1 43.500 (48.373)	Prec@5 75.000 (78.776)
Epoch: [59][3240/9018]	Time 0.816 (0.631)	Data 0.001 (0.003)	Loss 2.1746 (1.9897)	Prec@1 45.000 (48.369)	Prec@5 76.000 (78.774)
Epoch: [59][3250/9018]	Time 0.604 (0.631)	Data 0.001 (0.003)	Loss 1.9234 (1.9896)	Prec@1 46.000 (48.372)	Prec@5 81.500 (78.777)
Epoch: [59][3260/9018]	Time 0.610 (0.631)	Data 0.001 (0.003)	Loss 1.9228 (1.9896)	Prec@1 50.500 (48.371)	Prec@5 81.500 (78.780)
Epoch: [59][3270/9018]	Time 0.595 (0.631)	Data 0.001 (0.003)	Loss 1.9593 (1.9896)	Prec@1 52.000 (48.374)	Prec@5 80.500 (78.783)
Epoch: [59][3280/9018]	Time 0.620 (0.631)	Data 0.004 (0.003)	Loss 2.0597 (1.9898)	Prec@1 49.500 (48.373)	Prec@5 74.000 (78.780)
Epoch: [59][3290/9018]	Time 0.743 (0.631)	Data 0.001 (0.003)	Loss 1.9195 (1.9898)	Prec@1 50.000 (48.370)	Prec@5 77.500 (78.777)
Epoch: [59][3300/9018]	Time 0.639 (0.631)	Data 0.001 (0.003)	Loss 2.0168 (1.9899)	Prec@1 48.000 (48.372)	Prec@5 79.500 (78.775)
Epoch: [59][3310/9018]	Time 0.625 (0.631)	Data 0.001 (0.003)	Loss 1.9280 (1.9898)	Prec@1 51.000 (48.376)	Prec@5 81.500 (78.779)
Epoch: [59][3320/9018]	Time 0.617 (0.631)	Data 0.001 (0.003)	Loss 1.7499 (1.9898)	Prec@1 56.500 (48.374)	Prec@5 85.000 (78.780)
Epoch: [59][3330/9018]	Time 0.616 (0.631)	Data 0.001 (0.003)	Loss 1.9238 (1.9898)	Prec@1 51.500 (48.377)	Prec@5 79.500 (78.784)
Epoch: [59][3340/9018]	Time 0.630 (0.631)	Data 0.001 (0.003)	Loss 1.7567 (1.9897)	Prec@1 49.000 (48.375)	Prec@5 83.000 (78.784)
Epoch: [59][3350/9018]	Time 0.622 (0.631)	Data 0.001 (0.003)	Loss 2.3205 (1.9899)	Prec@1 39.500 (48.372)	Prec@5 77.000 (78.784)
Epoch: [59][3360/9018]	Time 0.651 (0.631)	Data 0.001 (0.003)	Loss 2.0241 (1.9899)	Prec@1 49.000 (48.371)	Prec@5 77.000 (78.781)
Epoch: [59][3370/9018]	Time 0.611 (0.631)	Data 0.001 (0.003)	Loss 2.0144 (1.9899)	Prec@1 48.000 (48.373)	Prec@5 80.000 (78.783)
Epoch: [59][3380/9018]	Time 0.622 (0.631)	Data 0.015 (0.003)	Loss 1.9792 (1.9899)	Prec@1 50.000 (48.371)	Prec@5 81.500 (78.782)
Epoch: [59][3390/9018]	Time 0.622 (0.631)	Data 0.001 (0.003)	Loss 2.0697 (1.9901)	Prec@1 45.000 (48.369)	Prec@5 77.500 (78.780)
Epoch: [59][3400/9018]	Time 0.603 (0.631)	Data 0.013 (0.003)	Loss 2.0192 (1.9898)	Prec@1 47.500 (48.374)	Prec@5 77.500 (78.785)
Epoch: [59][3410/9018]	Time 0.603 (0.631)	Data 0.001 (0.003)	Loss 2.0153 (1.9898)	Prec@1 46.500 (48.375)	Prec@5 80.500 (78.786)
Epoch: [59][3420/9018]	Time 0.601 (0.631)	Data 0.001 (0.003)	Loss 2.1551 (1.9899)	Prec@1 39.500 (48.372)	Prec@5 76.500 (78.783)
Epoch: [59][3430/9018]	Time 0.604 (0.631)	Data 0.001 (0.003)	Loss 1.7446 (1.9899)	Prec@1 51.000 (48.370)	Prec@5 85.500 (78.784)
Epoch: [59][3440/9018]	Time 0.628 (0.631)	Data 0.001 (0.003)	Loss 2.2870 (1.9901)	Prec@1 39.000 (48.369)	Prec@5 76.000 (78.781)
Epoch: [59][3450/9018]	Time 0.607 (0.631)	Data 0.001 (0.003)	Loss 2.0579 (1.9901)	Prec@1 50.000 (48.368)	Prec@5 77.500 (78.782)
Epoch: [59][3460/9018]	Time 0.643 (0.631)	Data 0.004 (0.003)	Loss 1.9867 (1.9902)	Prec@1 47.500 (48.363)	Prec@5 81.500 (78.783)
Epoch: [59][3470/9018]	Time 0.622 (0.631)	Data 0.001 (0.003)	Loss 2.1295 (1.9903)	Prec@1 48.500 (48.361)	Prec@5 73.500 (78.779)
Epoch: [59][3480/9018]	Time 0.628 (0.631)	Data 0.001 (0.003)	Loss 1.8793 (1.9902)	Prec@1 45.500 (48.359)	Prec@5 83.500 (78.782)
Epoch: [59][3490/9018]	Time 0.602 (0.631)	Data 0.001 (0.003)	Loss 1.6986 (1.9902)	Prec@1 52.500 (48.362)	Prec@5 85.500 (78.779)
Epoch: [59][3500/9018]	Time 0.617 (0.631)	Data 0.001 (0.003)	Loss 2.0212 (1.9903)	Prec@1 46.000 (48.361)	Prec@5 77.500 (78.773)
Epoch: [59][3510/9018]	Time 0.631 (0.631)	Data 0.001 (0.003)	Loss 1.8230 (1.9902)	Prec@1 53.000 (48.365)	Prec@5 82.500 (78.777)
Epoch: [59][3520/9018]	Time 0.596 (0.631)	Data 0.001 (0.003)	Loss 1.8557 (1.9900)	Prec@1 48.500 (48.368)	Prec@5 78.500 (78.782)
Epoch: [59][3530/9018]	Time 0.608 (0.631)	Data 0.001 (0.003)	Loss 1.9813 (1.9899)	Prec@1 47.000 (48.365)	Prec@5 81.000 (78.783)
Epoch: [59][3540/9018]	Time 0.635 (0.631)	Data 0.001 (0.003)	Loss 1.9999 (1.9899)	Prec@1 47.500 (48.369)	Prec@5 82.500 (78.786)
Epoch: [59][3550/9018]	Time 0.617 (0.631)	Data 0.001 (0.003)	Loss 2.0526 (1.9899)	Prec@1 48.500 (48.367)	Prec@5 78.500 (78.786)
Epoch: [59][3560/9018]	Time 0.587 (0.630)	Data 0.001 (0.003)	Loss 1.9730 (1.9900)	Prec@1 48.500 (48.365)	Prec@5 78.000 (78.785)
Epoch: [59][3570/9018]	Time 0.773 (0.630)	Data 0.001 (0.003)	Loss 2.1432 (1.9900)	Prec@1 45.000 (48.366)	Prec@5 78.000 (78.785)
Epoch: [59][3580/9018]	Time 0.603 (0.630)	Data 0.001 (0.003)	Loss 2.0787 (1.9900)	Prec@1 47.000 (48.368)	Prec@5 80.000 (78.784)
Epoch: [59][3590/9018]	Time 0.604 (0.630)	Data 0.001 (0.003)	Loss 2.0295 (1.9901)	Prec@1 45.000 (48.364)	Prec@5 77.500 (78.783)
Epoch: [59][3600/9018]	Time 0.594 (0.630)	Data 0.001 (0.003)	Loss 2.0203 (1.9901)	Prec@1 50.500 (48.363)	Prec@5 78.000 (78.782)
Epoch: [59][3610/9018]	Time 0.596 (0.630)	Data 0.001 (0.003)	Loss 1.7925 (1.9900)	Prec@1 53.500 (48.369)	Prec@5 80.500 (78.786)
Epoch: [59][3620/9018]	Time 0.760 (0.630)	Data 0.001 (0.003)	Loss 1.9439 (1.9899)	Prec@1 47.000 (48.373)	Prec@5 82.500 (78.787)
Epoch: [59][3630/9018]	Time 0.602 (0.630)	Data 0.001 (0.003)	Loss 1.8121 (1.9899)	Prec@1 50.500 (48.370)	Prec@5 80.500 (78.788)
Epoch: [59][3640/9018]	Time 0.617 (0.630)	Data 0.008 (0.003)	Loss 2.0756 (1.9900)	Prec@1 52.500 (48.372)	Prec@5 80.500 (78.787)
Epoch: [59][3650/9018]	Time 0.622 (0.630)	Data 0.001 (0.003)	Loss 2.2585 (1.9900)	Prec@1 44.500 (48.374)	Prec@5 74.000 (78.785)
Epoch: [59][3660/9018]	Time 0.614 (0.630)	Data 0.001 (0.003)	Loss 2.0468 (1.9900)	Prec@1 49.500 (48.375)	Prec@5 77.000 (78.785)
Epoch: [59][3670/9018]	Time 0.625 (0.630)	Data 0.001 (0.003)	Loss 2.0920 (1.9902)	Prec@1 47.500 (48.372)	Prec@5 77.000 (78.782)
Epoch: [59][3680/9018]	Time 0.599 (0.630)	Data 0.001 (0.003)	Loss 2.1462 (1.9903)	Prec@1 46.500 (48.373)	Prec@5 76.500 (78.781)
Epoch: [59][3690/9018]	Time 0.627 (0.630)	Data 0.001 (0.003)	Loss 2.0619 (1.9905)	Prec@1 51.500 (48.371)	Prec@5 78.500 (78.776)
Epoch: [59][3700/9018]	Time 0.594 (0.630)	Data 0.001 (0.003)	Loss 1.9881 (1.9902)	Prec@1 51.000 (48.377)	Prec@5 82.500 (78.782)
Epoch: [59][3710/9018]	Time 0.617 (0.630)	Data 0.001 (0.003)	Loss 1.9838 (1.9902)	Prec@1 48.000 (48.377)	Prec@5 80.500 (78.780)
Epoch: [59][3720/9018]	Time 0.606 (0.630)	Data 0.003 (0.003)	Loss 1.9083 (1.9902)	Prec@1 49.000 (48.378)	Prec@5 78.500 (78.780)
Epoch: [59][3730/9018]	Time 0.589 (0.630)	Data 0.001 (0.003)	Loss 2.1149 (1.9903)	Prec@1 51.500 (48.378)	Prec@5 72.000 (78.778)
Epoch: [59][3740/9018]	Time 0.621 (0.630)	Data 0.001 (0.003)	Loss 1.8246 (1.9903)	Prec@1 52.000 (48.376)	Prec@5 82.500 (78.778)
Epoch: [59][3750/9018]	Time 0.595 (0.630)	Data 0.001 (0.003)	Loss 1.8302 (1.9903)	Prec@1 51.500 (48.378)	Prec@5 80.000 (78.776)
Epoch: [59][3760/9018]	Time 0.617 (0.630)	Data 0.001 (0.003)	Loss 2.0335 (1.9903)	Prec@1 46.000 (48.377)	Prec@5 80.500 (78.776)
Epoch: [59][3770/9018]	Time 0.650 (0.630)	Data 0.001 (0.003)	Loss 1.7643 (1.9903)	Prec@1 53.000 (48.377)	Prec@5 85.000 (78.775)
Epoch: [59][3780/9018]	Time 0.603 (0.630)	Data 0.001 (0.003)	Loss 1.8525 (1.9904)	Prec@1 46.500 (48.374)	Prec@5 80.500 (78.773)
Epoch: [59][3790/9018]	Time 0.602 (0.630)	Data 0.001 (0.003)	Loss 2.1846 (1.9902)	Prec@1 47.000 (48.383)	Prec@5 77.500 (78.777)
Epoch: [59][3800/9018]	Time 0.602 (0.630)	Data 0.001 (0.003)	Loss 2.1774 (1.9904)	Prec@1 43.500 (48.379)	Prec@5 76.000 (78.773)
Epoch: [59][3810/9018]	Time 0.620 (0.630)	Data 0.001 (0.003)	Loss 2.2206 (1.9905)	Prec@1 44.000 (48.378)	Prec@5 73.000 (78.768)
Epoch: [59][3820/9018]	Time 0.644 (0.630)	Data 0.001 (0.003)	Loss 1.8362 (1.9904)	Prec@1 54.000 (48.382)	Prec@5 82.500 (78.771)
Epoch: [59][3830/9018]	Time 0.600 (0.630)	Data 0.001 (0.003)	Loss 2.3564 (1.9906)	Prec@1 38.000 (48.376)	Prec@5 71.500 (78.768)
Epoch: [59][3840/9018]	Time 0.603 (0.630)	Data 0.001 (0.003)	Loss 1.8280 (1.9906)	Prec@1 55.000 (48.377)	Prec@5 80.500 (78.768)
Epoch: [59][3850/9018]	Time 0.604 (0.630)	Data 0.001 (0.003)	Loss 2.2039 (1.9907)	Prec@1 44.000 (48.376)	Prec@5 74.000 (78.766)
Epoch: [59][3860/9018]	Time 0.606 (0.630)	Data 0.001 (0.003)	Loss 2.2476 (1.9907)	Prec@1 43.500 (48.376)	Prec@5 76.500 (78.766)
Epoch: [59][3870/9018]	Time 0.622 (0.630)	Data 0.001 (0.003)	Loss 2.1006 (1.9907)	Prec@1 45.500 (48.374)	Prec@5 76.500 (78.769)
Epoch: [59][3880/9018]	Time 0.601 (0.630)	Data 0.001 (0.003)	Loss 2.1501 (1.9907)	Prec@1 43.000 (48.378)	Prec@5 76.000 (78.771)
Epoch: [59][3890/9018]	Time 0.631 (0.630)	Data 0.001 (0.003)	Loss 1.9294 (1.9908)	Prec@1 48.500 (48.375)	Prec@5 81.000 (78.771)
Epoch: [59][3900/9018]	Time 0.757 (0.630)	Data 0.001 (0.003)	Loss 2.1552 (1.9910)	Prec@1 42.000 (48.371)	Prec@5 76.500 (78.767)
Epoch: [59][3910/9018]	Time 0.614 (0.630)	Data 0.001 (0.003)	Loss 2.2582 (1.9911)	Prec@1 41.500 (48.369)	Prec@5 76.000 (78.767)
Epoch: [59][3920/9018]	Time 0.598 (0.630)	Data 0.001 (0.003)	Loss 1.7779 (1.9910)	Prec@1 52.500 (48.374)	Prec@5 83.000 (78.769)
Epoch: [59][3930/9018]	Time 0.596 (0.630)	Data 0.001 (0.003)	Loss 2.0044 (1.9910)	Prec@1 50.500 (48.372)	Prec@5 79.000 (78.766)
Epoch: [59][3940/9018]	Time 0.608 (0.630)	Data 0.001 (0.003)	Loss 1.8895 (1.9912)	Prec@1 51.500 (48.368)	Prec@5 78.000 (78.762)
Epoch: [59][3950/9018]	Time 0.741 (0.630)	Data 0.001 (0.003)	Loss 1.8753 (1.9912)	Prec@1 49.500 (48.367)	Prec@5 84.500 (78.764)
Epoch: [59][3960/9018]	Time 0.599 (0.630)	Data 0.001 (0.003)	Loss 1.9550 (1.9912)	Prec@1 47.500 (48.366)	Prec@5 78.500 (78.765)
Epoch: [59][3970/9018]	Time 0.614 (0.630)	Data 0.001 (0.003)	Loss 2.1007 (1.9912)	Prec@1 46.500 (48.365)	Prec@5 78.500 (78.764)
Epoch: [59][3980/9018]	Time 0.614 (0.630)	Data 0.001 (0.003)	Loss 1.7880 (1.9911)	Prec@1 58.500 (48.370)	Prec@5 81.000 (78.768)
Epoch: [59][3990/9018]	Time 0.611 (0.630)	Data 0.001 (0.003)	Loss 2.0243 (1.9911)	Prec@1 46.000 (48.371)	Prec@5 76.500 (78.765)
Epoch: [59][4000/9018]	Time 0.624 (0.630)	Data 0.001 (0.003)	Loss 2.0523 (1.9910)	Prec@1 47.000 (48.372)	Prec@5 79.000 (78.768)
Epoch: [59][4010/9018]	Time 0.646 (0.630)	Data 0.001 (0.003)	Loss 1.6581 (1.9909)	Prec@1 58.500 (48.376)	Prec@5 84.500 (78.771)
Epoch: [59][4020/9018]	Time 0.613 (0.630)	Data 0.020 (0.003)	Loss 2.0672 (1.9909)	Prec@1 47.000 (48.375)	Prec@5 81.000 (78.772)
Epoch: [59][4030/9018]	Time 0.616 (0.630)	Data 0.001 (0.003)	Loss 2.1050 (1.9910)	Prec@1 45.000 (48.373)	Prec@5 78.000 (78.771)
Epoch: [59][4040/9018]	Time 0.603 (0.630)	Data 0.001 (0.003)	Loss 2.1300 (1.9912)	Prec@1 48.000 (48.372)	Prec@5 78.000 (78.768)
Epoch: [59][4050/9018]	Time 0.601 (0.630)	Data 0.001 (0.003)	Loss 1.7762 (1.9914)	Prec@1 57.500 (48.367)	Prec@5 84.000 (78.765)
Epoch: [59][4060/9018]	Time 0.626 (0.630)	Data 0.001 (0.003)	Loss 1.8787 (1.9914)	Prec@1 55.000 (48.368)	Prec@5 81.000 (78.765)
Epoch: [59][4070/9018]	Time 0.614 (0.630)	Data 0.001 (0.003)	Loss 2.1729 (1.9915)	Prec@1 45.500 (48.369)	Prec@5 77.000 (78.761)
Epoch: [59][4080/9018]	Time 0.598 (0.630)	Data 0.001 (0.003)	Loss 1.9901 (1.9916)	Prec@1 48.500 (48.367)	Prec@5 78.000 (78.758)
Epoch: [59][4090/9018]	Time 0.594 (0.630)	Data 0.001 (0.003)	Loss 1.7285 (1.9917)	Prec@1 53.500 (48.367)	Prec@5 85.000 (78.760)
Epoch: [59][4100/9018]	Time 0.610 (0.630)	Data 0.007 (0.003)	Loss 1.8860 (1.9918)	Prec@1 50.500 (48.361)	Prec@5 79.500 (78.754)
Epoch: [59][4110/9018]	Time 0.615 (0.630)	Data 0.002 (0.003)	Loss 1.8715 (1.9919)	Prec@1 50.500 (48.359)	Prec@5 80.500 (78.755)
Epoch: [59][4120/9018]	Time 0.600 (0.630)	Data 0.001 (0.003)	Loss 2.0818 (1.9919)	Prec@1 46.500 (48.358)	Prec@5 78.500 (78.756)
Epoch: [59][4130/9018]	Time 0.595 (0.630)	Data 0.001 (0.003)	Loss 2.0300 (1.9919)	Prec@1 49.000 (48.361)	Prec@5 81.000 (78.758)
Epoch: [59][4140/9018]	Time 0.614 (0.630)	Data 0.014 (0.003)	Loss 1.9518 (1.9921)	Prec@1 48.500 (48.357)	Prec@5 80.500 (78.753)
Epoch: [59][4150/9018]	Time 0.651 (0.630)	Data 0.001 (0.003)	Loss 2.0563 (1.9921)	Prec@1 48.000 (48.353)	Prec@5 80.000 (78.753)
Epoch: [59][4160/9018]	Time 0.633 (0.630)	Data 0.012 (0.003)	Loss 1.8636 (1.9921)	Prec@1 50.500 (48.349)	Prec@5 82.500 (78.754)
Epoch: [59][4170/9018]	Time 0.652 (0.630)	Data 0.001 (0.003)	Loss 2.2442 (1.9922)	Prec@1 45.000 (48.349)	Prec@5 75.000 (78.751)
Epoch: [59][4180/9018]	Time 0.591 (0.629)	Data 0.001 (0.003)	Loss 2.0554 (1.9923)	Prec@1 49.000 (48.347)	Prec@5 75.500 (78.746)
Epoch: [59][4190/9018]	Time 0.616 (0.629)	Data 0.003 (0.003)	Loss 1.8695 (1.9922)	Prec@1 53.000 (48.351)	Prec@5 80.000 (78.751)
Epoch: [59][4200/9018]	Time 0.605 (0.629)	Data 0.001 (0.003)	Loss 2.0582 (1.9923)	Prec@1 45.500 (48.348)	Prec@5 73.500 (78.749)
Epoch: [59][4210/9018]	Time 0.616 (0.629)	Data 0.001 (0.003)	Loss 2.1363 (1.9924)	Prec@1 45.000 (48.345)	Prec@5 76.000 (78.746)
Epoch: [59][4220/9018]	Time 0.610 (0.629)	Data 0.001 (0.003)	Loss 2.0410 (1.9923)	Prec@1 47.000 (48.349)	Prec@5 78.500 (78.745)
Epoch: [59][4230/9018]	Time 0.799 (0.629)	Data 0.001 (0.003)	Loss 1.8628 (1.9923)	Prec@1 50.000 (48.348)	Prec@5 82.000 (78.746)
Epoch: [59][4240/9018]	Time 0.601 (0.629)	Data 0.001 (0.003)	Loss 2.1731 (1.9923)	Prec@1 45.500 (48.346)	Prec@5 74.000 (78.745)
Epoch: [59][4250/9018]	Time 0.659 (0.629)	Data 0.001 (0.003)	Loss 2.1422 (1.9925)	Prec@1 44.500 (48.343)	Prec@5 76.500 (78.742)
Epoch: [59][4260/9018]	Time 0.612 (0.629)	Data 0.001 (0.003)	Loss 1.8973 (1.9925)	Prec@1 48.500 (48.341)	Prec@5 79.000 (78.743)
Epoch: [59][4270/9018]	Time 0.614 (0.629)	Data 0.001 (0.003)	Loss 2.0503 (1.9927)	Prec@1 52.500 (48.341)	Prec@5 75.500 (78.740)
Epoch: [59][4280/9018]	Time 0.752 (0.629)	Data 0.001 (0.003)	Loss 2.0834 (1.9927)	Prec@1 47.500 (48.340)	Prec@5 78.000 (78.739)
Epoch: [59][4290/9018]	Time 0.631 (0.629)	Data 0.001 (0.003)	Loss 1.8405 (1.9927)	Prec@1 52.000 (48.341)	Prec@5 83.000 (78.742)
Epoch: [59][4300/9018]	Time 0.603 (0.629)	Data 0.001 (0.003)	Loss 2.1113 (1.9927)	Prec@1 45.500 (48.338)	Prec@5 73.500 (78.740)
Epoch: [59][4310/9018]	Time 0.616 (0.629)	Data 0.001 (0.003)	Loss 2.0718 (1.9927)	Prec@1 47.500 (48.339)	Prec@5 79.500 (78.742)
Epoch: [59][4320/9018]	Time 0.602 (0.629)	Data 0.001 (0.003)	Loss 1.8780 (1.9926)	Prec@1 49.500 (48.340)	Prec@5 79.000 (78.740)
Epoch: [59][4330/9018]	Time 0.643 (0.629)	Data 0.001 (0.003)	Loss 1.9899 (1.9926)	Prec@1 49.000 (48.338)	Prec@5 79.500 (78.742)
Epoch: [59][4340/9018]	Time 0.626 (0.629)	Data 0.015 (0.003)	Loss 2.1372 (1.9926)	Prec@1 47.500 (48.340)	Prec@5 78.000 (78.742)
Epoch: [59][4350/9018]	Time 0.595 (0.629)	Data 0.001 (0.003)	Loss 2.0068 (1.9927)	Prec@1 46.500 (48.338)	Prec@5 76.500 (78.741)
Epoch: [59][4360/9018]	Time 0.626 (0.629)	Data 0.001 (0.003)	Loss 2.2811 (1.9927)	Prec@1 41.000 (48.339)	Prec@5 74.500 (78.739)
Epoch: [59][4370/9018]	Time 0.639 (0.629)	Data 0.001 (0.003)	Loss 2.0937 (1.9928)	Prec@1 46.500 (48.338)	Prec@5 73.500 (78.737)
Epoch: [59][4380/9018]	Time 0.603 (0.629)	Data 0.001 (0.003)	Loss 2.1120 (1.9928)	Prec@1 48.000 (48.335)	Prec@5 74.000 (78.734)
Epoch: [59][4390/9018]	Time 0.591 (0.629)	Data 0.001 (0.003)	Loss 2.2465 (1.9930)	Prec@1 39.000 (48.329)	Prec@5 72.000 (78.731)
Epoch: [59][4400/9018]	Time 0.595 (0.629)	Data 0.001 (0.003)	Loss 2.0300 (1.9929)	Prec@1 47.500 (48.327)	Prec@5 79.000 (78.731)
Epoch: [59][4410/9018]	Time 0.614 (0.629)	Data 0.001 (0.003)	Loss 1.9096 (1.9929)	Prec@1 52.000 (48.328)	Prec@5 82.000 (78.733)
Epoch: [59][4420/9018]	Time 0.610 (0.629)	Data 0.001 (0.003)	Loss 2.0557 (1.9930)	Prec@1 50.500 (48.327)	Prec@5 80.000 (78.732)
Epoch: [59][4430/9018]	Time 0.612 (0.629)	Data 0.015 (0.003)	Loss 2.1090 (1.9930)	Prec@1 46.000 (48.325)	Prec@5 75.000 (78.733)
Epoch: [59][4440/9018]	Time 0.607 (0.629)	Data 0.001 (0.003)	Loss 2.1731 (1.9931)	Prec@1 45.000 (48.325)	Prec@5 75.000 (78.730)
Epoch: [59][4450/9018]	Time 0.623 (0.629)	Data 0.001 (0.003)	Loss 2.0530 (1.9932)	Prec@1 47.500 (48.324)	Prec@5 79.000 (78.729)
Epoch: [59][4460/9018]	Time 0.623 (0.629)	Data 0.001 (0.003)	Loss 1.8916 (1.9932)	Prec@1 47.000 (48.326)	Prec@5 77.500 (78.728)
Epoch: [59][4470/9018]	Time 0.626 (0.629)	Data 0.001 (0.003)	Loss 2.0685 (1.9934)	Prec@1 46.500 (48.323)	Prec@5 81.000 (78.725)
Epoch: [59][4480/9018]	Time 0.651 (0.629)	Data 0.001 (0.003)	Loss 2.0890 (1.9934)	Prec@1 46.500 (48.322)	Prec@5 80.500 (78.725)
Epoch: [59][4490/9018]	Time 0.612 (0.629)	Data 0.001 (0.003)	Loss 2.0570 (1.9935)	Prec@1 43.000 (48.321)	Prec@5 77.000 (78.724)
Epoch: [59][4500/9018]	Time 0.610 (0.629)	Data 0.001 (0.003)	Loss 1.9542 (1.9935)	Prec@1 51.500 (48.323)	Prec@5 80.500 (78.723)
Epoch: [59][4510/9018]	Time 0.616 (0.629)	Data 0.001 (0.003)	Loss 1.8490 (1.9936)	Prec@1 53.500 (48.324)	Prec@5 81.500 (78.722)
Epoch: [59][4520/9018]	Time 0.610 (0.629)	Data 0.001 (0.003)	Loss 1.8390 (1.9936)	Prec@1 56.000 (48.323)	Prec@5 80.000 (78.723)
Epoch: [59][4530/9018]	Time 0.607 (0.629)	Data 0.001 (0.003)	Loss 1.6891 (1.9938)	Prec@1 56.000 (48.318)	Prec@5 84.000 (78.720)
Epoch: [59][4540/9018]	Time 0.598 (0.629)	Data 0.001 (0.003)	Loss 2.0775 (1.9938)	Prec@1 44.000 (48.316)	Prec@5 76.500 (78.722)
Epoch: [59][4550/9018]	Time 0.625 (0.629)	Data 0.001 (0.003)	Loss 2.1750 (1.9940)	Prec@1 47.500 (48.313)	Prec@5 73.000 (78.717)
Epoch: [59][4560/9018]	Time 0.793 (0.629)	Data 0.001 (0.003)	Loss 2.0305 (1.9941)	Prec@1 42.000 (48.309)	Prec@5 81.500 (78.715)
Epoch: [59][4570/9018]	Time 0.591 (0.629)	Data 0.001 (0.003)	Loss 1.9500 (1.9942)	Prec@1 52.500 (48.310)	Prec@5 77.500 (78.714)
Epoch: [59][4580/9018]	Time 0.627 (0.629)	Data 0.008 (0.003)	Loss 1.8805 (1.9941)	Prec@1 51.000 (48.308)	Prec@5 81.000 (78.715)
Epoch: [59][4590/9018]	Time 0.602 (0.629)	Data 0.001 (0.003)	Loss 2.0094 (1.9943)	Prec@1 48.000 (48.302)	Prec@5 80.000 (78.711)
Epoch: [59][4600/9018]	Time 0.593 (0.629)	Data 0.001 (0.003)	Loss 1.7415 (1.9944)	Prec@1 55.500 (48.303)	Prec@5 83.000 (78.710)
Epoch: [59][4610/9018]	Time 0.776 (0.629)	Data 0.001 (0.003)	Loss 2.0716 (1.9945)	Prec@1 47.000 (48.300)	Prec@5 77.500 (78.706)
Epoch: [59][4620/9018]	Time 0.620 (0.629)	Data 0.001 (0.003)	Loss 1.8747 (1.9945)	Prec@1 54.000 (48.301)	Prec@5 80.000 (78.709)
Epoch: [59][4630/9018]	Time 0.604 (0.629)	Data 0.001 (0.003)	Loss 2.1506 (1.9945)	Prec@1 45.000 (48.300)	Prec@5 77.000 (78.709)
Epoch: [59][4640/9018]	Time 0.596 (0.629)	Data 0.001 (0.003)	Loss 1.9382 (1.9945)	Prec@1 47.500 (48.301)	Prec@5 78.500 (78.706)
Epoch: [59][4650/9018]	Time 0.604 (0.629)	Data 0.001 (0.003)	Loss 2.2993 (1.9948)	Prec@1 39.000 (48.294)	Prec@5 73.500 (78.700)
Epoch: [59][4660/9018]	Time 0.638 (0.629)	Data 0.001 (0.003)	Loss 2.0741 (1.9947)	Prec@1 45.500 (48.297)	Prec@5 78.000 (78.700)
Epoch: [59][4670/9018]	Time 0.621 (0.629)	Data 0.005 (0.003)	Loss 2.2209 (1.9948)	Prec@1 44.000 (48.296)	Prec@5 73.000 (78.700)
Epoch: [59][4680/9018]	Time 0.610 (0.629)	Data 0.001 (0.003)	Loss 2.0328 (1.9948)	Prec@1 43.500 (48.296)	Prec@5 81.000 (78.698)
Epoch: [59][4690/9018]	Time 0.617 (0.629)	Data 0.001 (0.003)	Loss 1.7827 (1.9950)	Prec@1 51.500 (48.294)	Prec@5 84.000 (78.697)
Epoch: [59][4700/9018]	Time 0.598 (0.629)	Data 0.001 (0.003)	Loss 1.9624 (1.9951)	Prec@1 52.000 (48.294)	Prec@5 77.500 (78.694)
Epoch: [59][4710/9018]	Time 0.632 (0.629)	Data 0.001 (0.003)	Loss 1.8453 (1.9951)	Prec@1 51.500 (48.293)	Prec@5 80.500 (78.694)
Epoch: [59][4720/9018]	Time 0.617 (0.629)	Data 0.001 (0.003)	Loss 1.8958 (1.9952)	Prec@1 52.000 (48.289)	Prec@5 82.000 (78.693)
Epoch: [59][4730/9018]	Time 0.632 (0.629)	Data 0.001 (0.003)	Loss 2.0663 (1.9953)	Prec@1 47.000 (48.284)	Prec@5 77.500 (78.690)
Epoch: [59][4740/9018]	Time 0.608 (0.629)	Data 0.016 (0.003)	Loss 1.9111 (1.9954)	Prec@1 47.500 (48.281)	Prec@5 80.500 (78.688)
Epoch: [59][4750/9018]	Time 0.606 (0.629)	Data 0.001 (0.003)	Loss 2.1326 (1.9954)	Prec@1 42.500 (48.281)	Prec@5 75.500 (78.688)
Epoch: [59][4760/9018]	Time 0.631 (0.629)	Data 0.001 (0.003)	Loss 2.2127 (1.9956)	Prec@1 44.500 (48.281)	Prec@5 78.000 (78.687)
Epoch: [59][4770/9018]	Time 0.618 (0.629)	Data 0.001 (0.003)	Loss 1.9010 (1.9958)	Prec@1 49.000 (48.276)	Prec@5 81.500 (78.682)
Epoch: [59][4780/9018]	Time 0.590 (0.629)	Data 0.001 (0.003)	Loss 1.9830 (1.9959)	Prec@1 54.000 (48.277)	Prec@5 78.000 (78.680)
Epoch: [59][4790/9018]	Time 0.600 (0.629)	Data 0.001 (0.003)	Loss 1.9769 (1.9960)	Prec@1 48.500 (48.276)	Prec@5 77.500 (78.676)
Epoch: [59][4800/9018]	Time 0.607 (0.629)	Data 0.001 (0.003)	Loss 2.0084 (1.9961)	Prec@1 47.000 (48.278)	Prec@5 78.500 (78.675)
Epoch: [59][4810/9018]	Time 0.611 (0.629)	Data 0.001 (0.003)	Loss 2.1741 (1.9961)	Prec@1 45.500 (48.279)	Prec@5 76.000 (78.674)
Epoch: [59][4820/9018]	Time 0.605 (0.629)	Data 0.014 (0.003)	Loss 1.8352 (1.9961)	Prec@1 53.000 (48.279)	Prec@5 81.000 (78.675)
Epoch: [59][4830/9018]	Time 0.621 (0.629)	Data 0.001 (0.003)	Loss 2.2078 (1.9962)	Prec@1 48.000 (48.276)	Prec@5 72.500 (78.674)
Epoch: [59][4840/9018]	Time 0.602 (0.629)	Data 0.001 (0.003)	Loss 2.0083 (1.9963)	Prec@1 48.500 (48.273)	Prec@5 78.500 (78.673)
Epoch: [59][4850/9018]	Time 0.598 (0.629)	Data 0.001 (0.003)	Loss 1.8569 (1.9964)	Prec@1 51.000 (48.270)	Prec@5 82.500 (78.672)
Epoch: [59][4860/9018]	Time 0.614 (0.629)	Data 0.016 (0.003)	Loss 1.8633 (1.9964)	Prec@1 50.000 (48.271)	Prec@5 81.000 (78.674)
Epoch: [59][4870/9018]	Time 0.617 (0.629)	Data 0.001 (0.003)	Loss 2.0241 (1.9966)	Prec@1 45.500 (48.264)	Prec@5 76.000 (78.672)
Epoch: [59][4880/9018]	Time 0.632 (0.629)	Data 0.001 (0.003)	Loss 2.0075 (1.9966)	Prec@1 44.500 (48.263)	Prec@5 79.000 (78.671)
Epoch: [59][4890/9018]	Time 0.743 (0.629)	Data 0.001 (0.003)	Loss 2.0187 (1.9967)	Prec@1 48.000 (48.263)	Prec@5 81.500 (78.671)
Epoch: [59][4900/9018]	Time 0.650 (0.629)	Data 0.013 (0.003)	Loss 2.0176 (1.9967)	Prec@1 48.500 (48.260)	Prec@5 77.000 (78.672)
Epoch: [59][4910/9018]	Time 0.609 (0.629)	Data 0.001 (0.003)	Loss 1.9834 (1.9968)	Prec@1 45.500 (48.256)	Prec@5 79.500 (78.673)
Epoch: [59][4920/9018]	Time 0.626 (0.629)	Data 0.001 (0.003)	Loss 2.1718 (1.9969)	Prec@1 44.000 (48.254)	Prec@5 78.000 (78.670)
Epoch: [59][4930/9018]	Time 0.599 (0.629)	Data 0.001 (0.003)	Loss 1.9436 (1.9968)	Prec@1 51.500 (48.257)	Prec@5 80.500 (78.670)
Epoch: [59][4940/9018]	Time 0.749 (0.629)	Data 0.001 (0.003)	Loss 2.0901 (1.9968)	Prec@1 48.000 (48.259)	Prec@5 75.500 (78.670)
Epoch: [59][4950/9018]	Time 0.615 (0.629)	Data 0.001 (0.003)	Loss 1.9696 (1.9969)	Prec@1 48.500 (48.256)	Prec@5 77.000 (78.669)
Epoch: [59][4960/9018]	Time 0.600 (0.629)	Data 0.001 (0.003)	Loss 1.9304 (1.9970)	Prec@1 54.500 (48.257)	Prec@5 80.500 (78.668)
Epoch: [59][4970/9018]	Time 0.637 (0.629)	Data 0.001 (0.003)	Loss 1.8386 (1.9969)	Prec@1 52.000 (48.260)	Prec@5 84.500 (78.669)
Epoch: [59][4980/9018]	Time 0.633 (0.629)	Data 0.001 (0.003)	Loss 2.1372 (1.9969)	Prec@1 40.000 (48.260)	Prec@5 74.000 (78.668)
Epoch: [59][4990/9018]	Time 0.610 (0.629)	Data 0.001 (0.003)	Loss 2.0390 (1.9970)	Prec@1 51.500 (48.256)	Prec@5 79.500 (78.666)
Epoch: [59][5000/9018]	Time 0.622 (0.628)	Data 0.001 (0.003)	Loss 2.0979 (1.9970)	Prec@1 47.500 (48.257)	Prec@5 77.500 (78.667)
Epoch: [59][5010/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 1.9884 (1.9969)	Prec@1 47.000 (48.259)	Prec@5 81.500 (78.670)
Epoch: [59][5020/9018]	Time 0.611 (0.628)	Data 0.001 (0.003)	Loss 2.0106 (1.9968)	Prec@1 48.000 (48.262)	Prec@5 80.500 (78.673)
Epoch: [59][5030/9018]	Time 0.614 (0.628)	Data 0.001 (0.003)	Loss 2.0860 (1.9970)	Prec@1 43.500 (48.257)	Prec@5 79.500 (78.671)
Epoch: [59][5040/9018]	Time 0.614 (0.628)	Data 0.001 (0.003)	Loss 2.0326 (1.9969)	Prec@1 50.000 (48.260)	Prec@5 80.000 (78.674)
Epoch: [59][5050/9018]	Time 0.603 (0.628)	Data 0.001 (0.003)	Loss 1.8795 (1.9970)	Prec@1 51.500 (48.254)	Prec@5 80.500 (78.672)
Epoch: [59][5060/9018]	Time 0.617 (0.628)	Data 0.001 (0.003)	Loss 2.0085 (1.9971)	Prec@1 44.500 (48.255)	Prec@5 78.500 (78.670)
Epoch: [59][5070/9018]	Time 0.599 (0.628)	Data 0.001 (0.003)	Loss 2.1960 (1.9971)	Prec@1 48.000 (48.255)	Prec@5 77.000 (78.670)
Epoch: [59][5080/9018]	Time 0.622 (0.628)	Data 0.001 (0.003)	Loss 2.0889 (1.9972)	Prec@1 43.500 (48.254)	Prec@5 76.000 (78.668)
Epoch: [59][5090/9018]	Time 0.615 (0.628)	Data 0.001 (0.003)	Loss 2.1676 (1.9973)	Prec@1 46.000 (48.250)	Prec@5 78.000 (78.667)
Epoch: [59][5100/9018]	Time 0.640 (0.628)	Data 0.001 (0.003)	Loss 2.0503 (1.9973)	Prec@1 46.000 (48.250)	Prec@5 79.500 (78.668)
Epoch: [59][5110/9018]	Time 0.602 (0.628)	Data 0.001 (0.003)	Loss 2.3713 (1.9974)	Prec@1 39.500 (48.250)	Prec@5 70.500 (78.664)
Epoch: [59][5120/9018]	Time 0.602 (0.628)	Data 0.007 (0.003)	Loss 2.3059 (1.9975)	Prec@1 39.000 (48.246)	Prec@5 74.500 (78.662)
Epoch: [59][5130/9018]	Time 0.603 (0.628)	Data 0.001 (0.003)	Loss 1.6672 (1.9975)	Prec@1 55.500 (48.247)	Prec@5 86.500 (78.662)
Epoch: [59][5140/9018]	Time 0.626 (0.628)	Data 0.001 (0.003)	Loss 1.8920 (1.9973)	Prec@1 47.000 (48.250)	Prec@5 79.500 (78.665)
Epoch: [59][5150/9018]	Time 0.608 (0.628)	Data 0.001 (0.003)	Loss 1.9415 (1.9973)	Prec@1 47.500 (48.252)	Prec@5 80.000 (78.666)
Epoch: [59][5160/9018]	Time 0.596 (0.628)	Data 0.001 (0.003)	Loss 1.8114 (1.9972)	Prec@1 54.500 (48.254)	Prec@5 81.500 (78.668)
Epoch: [59][5170/9018]	Time 0.606 (0.628)	Data 0.001 (0.003)	Loss 2.0133 (1.9972)	Prec@1 46.000 (48.254)	Prec@5 78.500 (78.667)
Epoch: [59][5180/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 1.9141 (1.9973)	Prec@1 50.500 (48.253)	Prec@5 83.500 (78.667)
Epoch: [59][5190/9018]	Time 0.618 (0.628)	Data 0.001 (0.003)	Loss 2.1398 (1.9972)	Prec@1 43.000 (48.253)	Prec@5 74.500 (78.665)
Epoch: [59][5200/9018]	Time 0.626 (0.628)	Data 0.001 (0.003)	Loss 2.1135 (1.9972)	Prec@1 47.500 (48.252)	Prec@5 75.000 (78.664)
Epoch: [59][5210/9018]	Time 0.612 (0.628)	Data 0.001 (0.003)	Loss 2.0046 (1.9972)	Prec@1 49.000 (48.252)	Prec@5 78.000 (78.665)
Epoch: [59][5220/9018]	Time 0.764 (0.628)	Data 0.001 (0.003)	Loss 1.9847 (1.9972)	Prec@1 50.000 (48.251)	Prec@5 78.500 (78.667)
Epoch: [59][5230/9018]	Time 0.611 (0.628)	Data 0.001 (0.003)	Loss 1.9655 (1.9972)	Prec@1 49.000 (48.248)	Prec@5 76.500 (78.664)
Epoch: [59][5240/9018]	Time 0.613 (0.628)	Data 0.011 (0.003)	Loss 1.9622 (1.9972)	Prec@1 46.000 (48.245)	Prec@5 81.000 (78.664)
Epoch: [59][5250/9018]	Time 0.603 (0.628)	Data 0.001 (0.003)	Loss 2.0081 (1.9971)	Prec@1 51.000 (48.247)	Prec@5 79.000 (78.663)
Epoch: [59][5260/9018]	Time 0.602 (0.628)	Data 0.017 (0.003)	Loss 2.2607 (1.9973)	Prec@1 44.500 (48.243)	Prec@5 75.500 (78.662)
Epoch: [59][5270/9018]	Time 0.759 (0.628)	Data 0.001 (0.003)	Loss 2.0573 (1.9973)	Prec@1 47.500 (48.242)	Prec@5 80.500 (78.663)
Epoch: [59][5280/9018]	Time 0.615 (0.628)	Data 0.001 (0.003)	Loss 2.1868 (1.9973)	Prec@1 43.000 (48.240)	Prec@5 79.500 (78.664)
Epoch: [59][5290/9018]	Time 0.607 (0.628)	Data 0.001 (0.003)	Loss 2.1067 (1.9973)	Prec@1 47.500 (48.242)	Prec@5 73.500 (78.664)
Epoch: [59][5300/9018]	Time 0.636 (0.628)	Data 0.001 (0.003)	Loss 2.0586 (1.9973)	Prec@1 45.500 (48.238)	Prec@5 79.000 (78.662)
Epoch: [59][5310/9018]	Time 0.606 (0.628)	Data 0.001 (0.003)	Loss 2.0122 (1.9973)	Prec@1 49.000 (48.240)	Prec@5 79.000 (78.664)
Epoch: [59][5320/9018]	Time 0.606 (0.628)	Data 0.001 (0.003)	Loss 2.0228 (1.9973)	Prec@1 43.500 (48.239)	Prec@5 83.500 (78.666)
Epoch: [59][5330/9018]	Time 0.620 (0.628)	Data 0.001 (0.003)	Loss 1.9282 (1.9973)	Prec@1 52.500 (48.242)	Prec@5 79.000 (78.666)
Epoch: [59][5340/9018]	Time 0.605 (0.628)	Data 0.001 (0.003)	Loss 2.1575 (1.9973)	Prec@1 43.000 (48.241)	Prec@5 77.500 (78.666)
Epoch: [59][5350/9018]	Time 0.593 (0.628)	Data 0.001 (0.003)	Loss 2.0629 (1.9973)	Prec@1 46.500 (48.240)	Prec@5 77.500 (78.665)
Epoch: [59][5360/9018]	Time 0.640 (0.628)	Data 0.001 (0.003)	Loss 2.0265 (1.9973)	Prec@1 46.500 (48.239)	Prec@5 79.500 (78.666)
Epoch: [59][5370/9018]	Time 0.631 (0.628)	Data 0.001 (0.003)	Loss 2.0203 (1.9973)	Prec@1 52.500 (48.241)	Prec@5 76.500 (78.665)
Epoch: [59][5380/9018]	Time 0.650 (0.628)	Data 0.001 (0.003)	Loss 1.9318 (1.9973)	Prec@1 48.500 (48.242)	Prec@5 79.000 (78.664)
Epoch: [59][5390/9018]	Time 0.615 (0.628)	Data 0.001 (0.003)	Loss 2.0103 (1.9974)	Prec@1 50.000 (48.242)	Prec@5 76.000 (78.661)
Epoch: [59][5400/9018]	Time 0.622 (0.628)	Data 0.013 (0.003)	Loss 1.7495 (1.9974)	Prec@1 55.000 (48.242)	Prec@5 80.000 (78.661)
Epoch: [59][5410/9018]	Time 0.611 (0.628)	Data 0.002 (0.003)	Loss 2.0553 (1.9974)	Prec@1 44.000 (48.239)	Prec@5 80.500 (78.659)
Epoch: [59][5420/9018]	Time 0.602 (0.628)	Data 0.001 (0.003)	Loss 1.9997 (1.9973)	Prec@1 48.000 (48.242)	Prec@5 77.500 (78.659)
Epoch: [59][5430/9018]	Time 0.639 (0.628)	Data 0.001 (0.003)	Loss 2.0838 (1.9974)	Prec@1 47.500 (48.242)	Prec@5 74.500 (78.660)
Epoch: [59][5440/9018]	Time 0.606 (0.628)	Data 0.001 (0.003)	Loss 2.1660 (1.9973)	Prec@1 46.500 (48.245)	Prec@5 75.500 (78.660)
Epoch: [59][5450/9018]	Time 0.656 (0.628)	Data 0.003 (0.003)	Loss 2.1488 (1.9973)	Prec@1 45.000 (48.245)	Prec@5 77.000 (78.659)
Epoch: [59][5460/9018]	Time 0.603 (0.628)	Data 0.001 (0.003)	Loss 2.2116 (1.9974)	Prec@1 46.000 (48.246)	Prec@5 73.000 (78.657)
Epoch: [59][5470/9018]	Time 0.589 (0.628)	Data 0.001 (0.003)	Loss 2.1297 (1.9975)	Prec@1 45.000 (48.244)	Prec@5 78.500 (78.657)
Epoch: [59][5480/9018]	Time 0.605 (0.628)	Data 0.005 (0.003)	Loss 1.9925 (1.9974)	Prec@1 52.000 (48.245)	Prec@5 79.500 (78.659)
Epoch: [59][5490/9018]	Time 0.598 (0.628)	Data 0.001 (0.003)	Loss 1.7467 (1.9974)	Prec@1 54.500 (48.246)	Prec@5 83.500 (78.660)
Epoch: [59][5500/9018]	Time 0.613 (0.628)	Data 0.001 (0.003)	Loss 1.9903 (1.9973)	Prec@1 50.000 (48.247)	Prec@5 79.000 (78.661)
Epoch: [59][5510/9018]	Time 0.610 (0.628)	Data 0.001 (0.003)	Loss 2.0050 (1.9973)	Prec@1 47.000 (48.247)	Prec@5 77.000 (78.663)
Epoch: [59][5520/9018]	Time 0.624 (0.628)	Data 0.001 (0.003)	Loss 1.5918 (1.9972)	Prec@1 56.000 (48.249)	Prec@5 84.500 (78.664)
Epoch: [59][5530/9018]	Time 0.605 (0.628)	Data 0.001 (0.003)	Loss 2.0579 (1.9973)	Prec@1 47.000 (48.249)	Prec@5 77.000 (78.662)
Epoch: [59][5540/9018]	Time 0.595 (0.628)	Data 0.001 (0.003)	Loss 1.8629 (1.9973)	Prec@1 50.000 (48.250)	Prec@5 80.500 (78.662)
Epoch: [59][5550/9018]	Time 0.734 (0.628)	Data 0.001 (0.003)	Loss 1.9527 (1.9973)	Prec@1 52.000 (48.251)	Prec@5 81.000 (78.661)
Epoch: [59][5560/9018]	Time 0.612 (0.628)	Data 0.001 (0.003)	Loss 1.8615 (1.9973)	Prec@1 54.500 (48.249)	Prec@5 78.000 (78.660)
Epoch: [59][5570/9018]	Time 0.593 (0.628)	Data 0.001 (0.003)	Loss 2.2150 (1.9972)	Prec@1 46.000 (48.253)	Prec@5 77.000 (78.662)
Epoch: [59][5580/9018]	Time 0.606 (0.628)	Data 0.001 (0.003)	Loss 1.9317 (1.9972)	Prec@1 55.000 (48.253)	Prec@5 77.000 (78.662)
Epoch: [59][5590/9018]	Time 0.604 (0.628)	Data 0.001 (0.003)	Loss 2.0236 (1.9973)	Prec@1 50.000 (48.249)	Prec@5 75.500 (78.659)
Epoch: [59][5600/9018]	Time 0.739 (0.628)	Data 0.001 (0.003)	Loss 2.1749 (1.9974)	Prec@1 49.500 (48.249)	Prec@5 73.500 (78.658)
Epoch: [59][5610/9018]	Time 0.606 (0.628)	Data 0.001 (0.003)	Loss 1.9567 (1.9973)	Prec@1 47.000 (48.248)	Prec@5 80.000 (78.658)
Epoch: [59][5620/9018]	Time 0.626 (0.628)	Data 0.001 (0.003)	Loss 1.9915 (1.9973)	Prec@1 48.500 (48.248)	Prec@5 79.500 (78.658)
Epoch: [59][5630/9018]	Time 0.626 (0.628)	Data 0.001 (0.003)	Loss 1.6196 (1.9972)	Prec@1 58.500 (48.249)	Prec@5 84.500 (78.662)
Epoch: [59][5640/9018]	Time 0.613 (0.628)	Data 0.001 (0.003)	Loss 1.8674 (1.9972)	Prec@1 50.000 (48.249)	Prec@5 79.500 (78.661)
Epoch: [59][5650/9018]	Time 0.640 (0.628)	Data 0.001 (0.003)	Loss 1.9866 (1.9972)	Prec@1 46.500 (48.248)	Prec@5 79.500 (78.663)
Epoch: [59][5660/9018]	Time 0.608 (0.628)	Data 0.001 (0.003)	Loss 2.0328 (1.9972)	Prec@1 47.000 (48.249)	Prec@5 77.000 (78.663)
Epoch: [59][5670/9018]	Time 0.606 (0.628)	Data 0.016 (0.003)	Loss 2.2245 (1.9972)	Prec@1 42.500 (48.251)	Prec@5 76.500 (78.666)
Epoch: [59][5680/9018]	Time 0.595 (0.628)	Data 0.001 (0.003)	Loss 1.9756 (1.9972)	Prec@1 49.000 (48.252)	Prec@5 78.500 (78.666)
Epoch: [59][5690/9018]	Time 0.619 (0.628)	Data 0.002 (0.003)	Loss 2.1675 (1.9972)	Prec@1 43.500 (48.254)	Prec@5 77.500 (78.669)
Epoch: [59][5700/9018]	Time 0.615 (0.628)	Data 0.001 (0.003)	Loss 1.7807 (1.9972)	Prec@1 55.500 (48.255)	Prec@5 83.000 (78.669)
Epoch: [59][5710/9018]	Time 0.643 (0.628)	Data 0.001 (0.003)	Loss 1.9764 (1.9972)	Prec@1 49.000 (48.256)	Prec@5 80.000 (78.667)
Epoch: [59][5720/9018]	Time 0.602 (0.628)	Data 0.015 (0.003)	Loss 2.1116 (1.9972)	Prec@1 45.000 (48.257)	Prec@5 77.000 (78.670)
Epoch: [59][5730/9018]	Time 0.641 (0.628)	Data 0.001 (0.003)	Loss 2.2027 (1.9972)	Prec@1 44.000 (48.255)	Prec@5 77.000 (78.670)
Epoch: [59][5740/9018]	Time 0.594 (0.628)	Data 0.001 (0.003)	Loss 2.0533 (1.9972)	Prec@1 47.000 (48.253)	Prec@5 76.500 (78.672)
Epoch: [59][5750/9018]	Time 0.594 (0.628)	Data 0.001 (0.003)	Loss 1.9286 (1.9972)	Prec@1 48.000 (48.250)	Prec@5 80.500 (78.672)
Epoch: [59][5760/9018]	Time 0.600 (0.628)	Data 0.001 (0.003)	Loss 1.9901 (1.9973)	Prec@1 48.500 (48.251)	Prec@5 76.000 (78.671)
Epoch: [59][5770/9018]	Time 0.594 (0.628)	Data 0.001 (0.003)	Loss 1.8590 (1.9972)	Prec@1 46.500 (48.251)	Prec@5 82.500 (78.672)
Epoch: [59][5780/9018]	Time 0.592 (0.627)	Data 0.001 (0.003)	Loss 2.1030 (1.9975)	Prec@1 44.500 (48.247)	Prec@5 79.000 (78.669)
Epoch: [59][5790/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 2.1917 (1.9976)	Prec@1 40.000 (48.242)	Prec@5 73.500 (78.666)
Epoch: [59][5800/9018]	Time 0.627 (0.627)	Data 0.001 (0.003)	Loss 2.0952 (1.9976)	Prec@1 45.500 (48.241)	Prec@5 79.000 (78.667)
Epoch: [59][5810/9018]	Time 0.609 (0.627)	Data 0.001 (0.003)	Loss 1.7306 (1.9976)	Prec@1 55.500 (48.240)	Prec@5 81.500 (78.668)
Epoch: [59][5820/9018]	Time 0.598 (0.627)	Data 0.001 (0.003)	Loss 1.9987 (1.9976)	Prec@1 48.500 (48.241)	Prec@5 80.500 (78.668)
Epoch: [59][5830/9018]	Time 0.620 (0.627)	Data 0.001 (0.003)	Loss 2.0357 (1.9975)	Prec@1 47.500 (48.242)	Prec@5 78.500 (78.670)
Epoch: [59][5840/9018]	Time 0.619 (0.627)	Data 0.004 (0.003)	Loss 1.9528 (1.9975)	Prec@1 48.500 (48.244)	Prec@5 79.500 (78.670)
Epoch: [59][5850/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 2.2742 (1.9976)	Prec@1 42.000 (48.240)	Prec@5 74.000 (78.669)
Epoch: [59][5860/9018]	Time 0.629 (0.627)	Data 0.001 (0.003)	Loss 2.2523 (1.9978)	Prec@1 42.500 (48.238)	Prec@5 74.000 (78.665)
Epoch: [59][5870/9018]	Time 0.629 (0.627)	Data 0.001 (0.003)	Loss 2.0909 (1.9978)	Prec@1 49.000 (48.239)	Prec@5 73.000 (78.664)
Epoch: [59][5880/9018]	Time 0.792 (0.627)	Data 0.001 (0.003)	Loss 1.9869 (1.9978)	Prec@1 47.000 (48.237)	Prec@5 77.000 (78.662)
Epoch: [59][5890/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 1.9701 (1.9978)	Prec@1 50.000 (48.239)	Prec@5 79.500 (78.663)
Epoch: [59][5900/9018]	Time 0.651 (0.627)	Data 0.001 (0.003)	Loss 2.0125 (1.9979)	Prec@1 47.000 (48.238)	Prec@5 80.000 (78.661)
Epoch: [59][5910/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 2.2737 (1.9978)	Prec@1 45.500 (48.239)	Prec@5 71.000 (78.662)
Epoch: [59][5920/9018]	Time 0.600 (0.627)	Data 0.001 (0.003)	Loss 1.9864 (1.9979)	Prec@1 45.500 (48.239)	Prec@5 79.000 (78.661)
Epoch: [59][5930/9018]	Time 0.786 (0.627)	Data 0.001 (0.003)	Loss 2.0108 (1.9980)	Prec@1 50.000 (48.238)	Prec@5 77.500 (78.659)
Epoch: [59][5940/9018]	Time 0.599 (0.627)	Data 0.001 (0.003)	Loss 2.1214 (1.9980)	Prec@1 44.500 (48.238)	Prec@5 77.000 (78.656)
Epoch: [59][5950/9018]	Time 0.612 (0.627)	Data 0.001 (0.003)	Loss 1.9548 (1.9981)	Prec@1 49.000 (48.237)	Prec@5 84.000 (78.656)
Epoch: [59][5960/9018]	Time 0.603 (0.627)	Data 0.001 (0.003)	Loss 2.0700 (1.9981)	Prec@1 44.000 (48.238)	Prec@5 79.500 (78.657)
Epoch: [59][5970/9018]	Time 0.609 (0.627)	Data 0.001 (0.003)	Loss 2.0067 (1.9982)	Prec@1 49.000 (48.239)	Prec@5 78.000 (78.655)
Epoch: [59][5980/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 2.2024 (1.9982)	Prec@1 43.000 (48.238)	Prec@5 76.500 (78.656)
Epoch: [59][5990/9018]	Time 0.600 (0.627)	Data 0.001 (0.003)	Loss 2.1441 (1.9983)	Prec@1 47.000 (48.238)	Prec@5 75.000 (78.654)
Epoch: [59][6000/9018]	Time 0.616 (0.627)	Data 0.001 (0.003)	Loss 2.1508 (1.9983)	Prec@1 43.000 (48.237)	Prec@5 73.000 (78.654)
Epoch: [59][6010/9018]	Time 0.633 (0.627)	Data 0.001 (0.003)	Loss 1.9586 (1.9982)	Prec@1 55.000 (48.239)	Prec@5 76.500 (78.656)
Epoch: [59][6020/9018]	Time 0.610 (0.627)	Data 0.001 (0.003)	Loss 1.9447 (1.9983)	Prec@1 49.500 (48.237)	Prec@5 80.000 (78.655)
Epoch: [59][6030/9018]	Time 0.610 (0.627)	Data 0.001 (0.003)	Loss 2.2353 (1.9983)	Prec@1 46.000 (48.238)	Prec@5 77.500 (78.655)
Epoch: [59][6040/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 2.1962 (1.9984)	Prec@1 42.000 (48.236)	Prec@5 74.500 (78.654)
Epoch: [59][6050/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 1.9983 (1.9984)	Prec@1 50.000 (48.235)	Prec@5 77.500 (78.652)
Epoch: [59][6060/9018]	Time 0.618 (0.627)	Data 0.014 (0.003)	Loss 1.9985 (1.9984)	Prec@1 50.000 (48.238)	Prec@5 78.500 (78.652)
Epoch: [59][6070/9018]	Time 0.593 (0.627)	Data 0.001 (0.003)	Loss 1.8035 (1.9984)	Prec@1 50.500 (48.238)	Prec@5 84.000 (78.654)
Epoch: [59][6080/9018]	Time 0.603 (0.627)	Data 0.001 (0.003)	Loss 2.0574 (1.9984)	Prec@1 46.000 (48.236)	Prec@5 78.000 (78.654)
Epoch: [59][6090/9018]	Time 0.629 (0.627)	Data 0.001 (0.003)	Loss 2.2739 (1.9985)	Prec@1 47.000 (48.233)	Prec@5 74.000 (78.655)
Epoch: [59][6100/9018]	Time 0.592 (0.627)	Data 0.001 (0.003)	Loss 2.0423 (1.9985)	Prec@1 46.500 (48.232)	Prec@5 76.500 (78.655)
Epoch: [59][6110/9018]	Time 0.627 (0.627)	Data 0.001 (0.003)	Loss 2.1666 (1.9986)	Prec@1 46.500 (48.230)	Prec@5 77.500 (78.653)
Epoch: [59][6120/9018]	Time 0.614 (0.627)	Data 0.016 (0.003)	Loss 1.9492 (1.9986)	Prec@1 50.500 (48.229)	Prec@5 79.500 (78.654)
Epoch: [59][6130/9018]	Time 0.623 (0.627)	Data 0.001 (0.003)	Loss 1.9621 (1.9986)	Prec@1 47.500 (48.229)	Prec@5 80.000 (78.654)
Epoch: [59][6140/9018]	Time 0.607 (0.627)	Data 0.002 (0.003)	Loss 1.9784 (1.9985)	Prec@1 47.500 (48.234)	Prec@5 82.000 (78.656)
Epoch: [59][6150/9018]	Time 0.591 (0.627)	Data 0.001 (0.003)	Loss 2.1585 (1.9986)	Prec@1 48.000 (48.235)	Prec@5 77.500 (78.654)
Epoch: [59][6160/9018]	Time 0.634 (0.627)	Data 0.001 (0.003)	Loss 1.9969 (1.9987)	Prec@1 45.000 (48.234)	Prec@5 77.500 (78.655)
Epoch: [59][6170/9018]	Time 0.652 (0.627)	Data 0.001 (0.003)	Loss 2.0098 (1.9987)	Prec@1 46.000 (48.234)	Prec@5 75.000 (78.655)
Epoch: [59][6180/9018]	Time 0.625 (0.627)	Data 0.004 (0.003)	Loss 2.1000 (1.9987)	Prec@1 49.500 (48.232)	Prec@5 77.500 (78.655)
Epoch: [59][6190/9018]	Time 0.598 (0.627)	Data 0.001 (0.003)	Loss 2.0160 (1.9986)	Prec@1 48.000 (48.234)	Prec@5 77.500 (78.656)
Epoch: [59][6200/9018]	Time 0.598 (0.627)	Data 0.001 (0.003)	Loss 1.9908 (1.9986)	Prec@1 47.500 (48.233)	Prec@5 79.500 (78.655)
Epoch: [59][6210/9018]	Time 0.723 (0.627)	Data 0.001 (0.003)	Loss 1.6954 (1.9987)	Prec@1 54.500 (48.230)	Prec@5 84.500 (78.656)
Epoch: [59][6220/9018]	Time 0.630 (0.627)	Data 0.001 (0.003)	Loss 1.8663 (1.9987)	Prec@1 52.000 (48.229)	Prec@5 81.500 (78.654)
Epoch: [59][6230/9018]	Time 0.607 (0.627)	Data 0.016 (0.003)	Loss 2.0571 (1.9987)	Prec@1 49.000 (48.230)	Prec@5 80.000 (78.654)
Epoch: [59][6240/9018]	Time 0.599 (0.627)	Data 0.001 (0.003)	Loss 2.0157 (1.9988)	Prec@1 47.500 (48.229)	Prec@5 77.000 (78.651)
Epoch: [59][6250/9018]	Time 0.606 (0.627)	Data 0.001 (0.003)	Loss 1.8836 (1.9988)	Prec@1 47.500 (48.228)	Prec@5 79.000 (78.652)
Epoch: [59][6260/9018]	Time 0.720 (0.627)	Data 0.001 (0.003)	Loss 2.0730 (1.9988)	Prec@1 47.500 (48.226)	Prec@5 75.500 (78.651)
Epoch: [59][6270/9018]	Time 0.592 (0.627)	Data 0.001 (0.003)	Loss 1.9197 (1.9988)	Prec@1 52.500 (48.227)	Prec@5 77.500 (78.651)
Epoch: [59][6280/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 1.9708 (1.9988)	Prec@1 47.500 (48.227)	Prec@5 82.500 (78.650)
Epoch: [59][6290/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 2.0218 (1.9988)	Prec@1 51.500 (48.228)	Prec@5 78.500 (78.651)
Epoch: [59][6300/9018]	Time 0.612 (0.627)	Data 0.001 (0.003)	Loss 2.0516 (1.9988)	Prec@1 50.000 (48.228)	Prec@5 76.500 (78.649)
Epoch: [59][6310/9018]	Time 0.646 (0.627)	Data 0.001 (0.003)	Loss 2.1425 (1.9988)	Prec@1 46.000 (48.226)	Prec@5 75.500 (78.649)
Epoch: [59][6320/9018]	Time 0.626 (0.627)	Data 0.001 (0.003)	Loss 2.1252 (1.9988)	Prec@1 44.000 (48.226)	Prec@5 75.000 (78.650)
Epoch: [59][6330/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 1.9829 (1.9987)	Prec@1 47.500 (48.228)	Prec@5 78.500 (78.652)
Epoch: [59][6340/9018]	Time 0.625 (0.627)	Data 0.001 (0.003)	Loss 2.0387 (1.9987)	Prec@1 49.500 (48.229)	Prec@5 76.500 (78.653)
Epoch: [59][6350/9018]	Time 0.595 (0.627)	Data 0.001 (0.003)	Loss 2.2872 (1.9986)	Prec@1 42.500 (48.229)	Prec@5 71.000 (78.654)
Epoch: [59][6360/9018]	Time 0.635 (0.627)	Data 0.001 (0.003)	Loss 2.0569 (1.9987)	Prec@1 43.500 (48.227)	Prec@5 76.000 (78.652)
Epoch: [59][6370/9018]	Time 0.609 (0.627)	Data 0.005 (0.003)	Loss 2.0711 (1.9989)	Prec@1 49.000 (48.225)	Prec@5 78.000 (78.650)
Epoch: [59][6380/9018]	Time 0.603 (0.627)	Data 0.001 (0.003)	Loss 2.0294 (1.9988)	Prec@1 45.000 (48.224)	Prec@5 79.500 (78.652)
Epoch: [59][6390/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 2.0595 (1.9987)	Prec@1 48.000 (48.227)	Prec@5 75.500 (78.652)
Epoch: [59][6400/9018]	Time 0.594 (0.627)	Data 0.001 (0.003)	Loss 2.2246 (1.9989)	Prec@1 40.500 (48.226)	Prec@5 76.000 (78.652)
Epoch: [59][6410/9018]	Time 0.616 (0.627)	Data 0.001 (0.003)	Loss 2.0993 (1.9988)	Prec@1 46.000 (48.226)	Prec@5 77.500 (78.651)
Epoch: [59][6420/9018]	Time 0.603 (0.627)	Data 0.007 (0.003)	Loss 1.8447 (1.9987)	Prec@1 49.000 (48.228)	Prec@5 80.000 (78.652)
Epoch: [59][6430/9018]	Time 0.631 (0.627)	Data 0.001 (0.003)	Loss 2.0907 (1.9989)	Prec@1 45.000 (48.226)	Prec@5 75.500 (78.650)
Epoch: [59][6440/9018]	Time 0.610 (0.627)	Data 0.001 (0.003)	Loss 1.7956 (1.9988)	Prec@1 52.500 (48.227)	Prec@5 82.500 (78.648)
Epoch: [59][6450/9018]	Time 0.635 (0.627)	Data 0.001 (0.003)	Loss 1.8333 (1.9989)	Prec@1 49.500 (48.228)	Prec@5 81.000 (78.647)
Epoch: [59][6460/9018]	Time 0.601 (0.627)	Data 0.001 (0.003)	Loss 1.9406 (1.9989)	Prec@1 52.500 (48.231)	Prec@5 80.500 (78.647)
Epoch: [59][6470/9018]	Time 0.622 (0.627)	Data 0.001 (0.003)	Loss 1.9371 (1.9988)	Prec@1 46.500 (48.230)	Prec@5 80.500 (78.650)
Epoch: [59][6480/9018]	Time 0.602 (0.627)	Data 0.001 (0.003)	Loss 1.8257 (1.9989)	Prec@1 53.000 (48.231)	Prec@5 80.000 (78.650)
Epoch: [59][6490/9018]	Time 0.595 (0.627)	Data 0.001 (0.003)	Loss 2.1239 (1.9990)	Prec@1 42.000 (48.227)	Prec@5 74.000 (78.646)
Epoch: [59][6500/9018]	Time 0.630 (0.627)	Data 0.002 (0.003)	Loss 1.8169 (1.9989)	Prec@1 50.000 (48.229)	Prec@5 78.000 (78.647)
Epoch: [59][6510/9018]	Time 0.609 (0.627)	Data 0.001 (0.003)	Loss 1.8473 (1.9989)	Prec@1 48.500 (48.230)	Prec@5 79.000 (78.646)
Epoch: [59][6520/9018]	Time 0.619 (0.627)	Data 0.001 (0.003)	Loss 1.8705 (1.9989)	Prec@1 48.500 (48.230)	Prec@5 83.500 (78.646)
Epoch: [59][6530/9018]	Time 0.625 (0.627)	Data 0.001 (0.003)	Loss 1.9778 (1.9989)	Prec@1 46.000 (48.230)	Prec@5 77.500 (78.646)
Epoch: [59][6540/9018]	Time 0.719 (0.627)	Data 0.001 (0.003)	Loss 2.0762 (1.9988)	Prec@1 43.000 (48.231)	Prec@5 73.500 (78.648)
Epoch: [59][6550/9018]	Time 0.618 (0.627)	Data 0.001 (0.003)	Loss 1.7647 (1.9988)	Prec@1 54.000 (48.231)	Prec@5 81.500 (78.647)
Epoch: [59][6560/9018]	Time 0.627 (0.627)	Data 0.001 (0.003)	Loss 1.9874 (1.9988)	Prec@1 47.000 (48.230)	Prec@5 78.000 (78.646)
Epoch: [59][6570/9018]	Time 0.601 (0.627)	Data 0.001 (0.003)	Loss 1.9890 (1.9988)	Prec@1 54.000 (48.230)	Prec@5 81.500 (78.646)
Epoch: [59][6580/9018]	Time 0.599 (0.627)	Data 0.001 (0.003)	Loss 1.8552 (1.9989)	Prec@1 51.000 (48.231)	Prec@5 82.000 (78.646)
Epoch: [59][6590/9018]	Time 0.781 (0.627)	Data 0.001 (0.003)	Loss 1.9333 (1.9990)	Prec@1 46.500 (48.227)	Prec@5 79.500 (78.644)
Epoch: [59][6600/9018]	Time 0.648 (0.627)	Data 0.001 (0.003)	Loss 2.1146 (1.9989)	Prec@1 51.500 (48.228)	Prec@5 76.000 (78.646)
Epoch: [59][6610/9018]	Time 0.613 (0.627)	Data 0.001 (0.003)	Loss 1.6128 (1.9988)	Prec@1 57.500 (48.231)	Prec@5 85.000 (78.646)
Epoch: [59][6620/9018]	Time 0.593 (0.627)	Data 0.001 (0.003)	Loss 1.8761 (1.9988)	Prec@1 54.000 (48.230)	Prec@5 78.500 (78.645)
Epoch: [59][6630/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 2.1240 (1.9989)	Prec@1 48.000 (48.228)	Prec@5 79.000 (78.643)
Epoch: [59][6640/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 2.2039 (1.9990)	Prec@1 46.000 (48.227)	Prec@5 74.500 (78.644)
Epoch: [59][6650/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 2.0866 (1.9990)	Prec@1 50.000 (48.226)	Prec@5 74.000 (78.644)
Epoch: [59][6660/9018]	Time 0.651 (0.627)	Data 0.013 (0.003)	Loss 2.1253 (1.9990)	Prec@1 47.500 (48.227)	Prec@5 75.500 (78.643)
Epoch: [59][6670/9018]	Time 0.613 (0.627)	Data 0.001 (0.003)	Loss 1.8676 (1.9990)	Prec@1 49.500 (48.228)	Prec@5 80.500 (78.644)
Epoch: [59][6680/9018]	Time 0.636 (0.627)	Data 0.001 (0.003)	Loss 2.2006 (1.9990)	Prec@1 45.500 (48.226)	Prec@5 76.000 (78.642)
Epoch: [59][6690/9018]	Time 0.604 (0.627)	Data 0.001 (0.003)	Loss 1.8373 (1.9990)	Prec@1 52.500 (48.228)	Prec@5 79.000 (78.642)
Epoch: [59][6700/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 1.9512 (1.9990)	Prec@1 50.500 (48.228)	Prec@5 80.500 (78.642)
Epoch: [59][6710/9018]	Time 0.607 (0.627)	Data 0.001 (0.003)	Loss 1.8242 (1.9989)	Prec@1 49.500 (48.228)	Prec@5 81.000 (78.642)
Epoch: [59][6720/9018]	Time 0.606 (0.627)	Data 0.019 (0.003)	Loss 2.0526 (1.9989)	Prec@1 47.000 (48.230)	Prec@5 80.000 (78.643)
Epoch: [59][6730/9018]	Time 0.630 (0.627)	Data 0.001 (0.003)	Loss 2.1706 (1.9990)	Prec@1 47.000 (48.229)	Prec@5 78.000 (78.640)
Epoch: [59][6740/9018]	Time 0.637 (0.627)	Data 0.016 (0.003)	Loss 1.9193 (1.9990)	Prec@1 49.000 (48.227)	Prec@5 80.500 (78.639)
Epoch: [59][6750/9018]	Time 0.599 (0.627)	Data 0.001 (0.003)	Loss 2.1055 (1.9991)	Prec@1 48.000 (48.225)	Prec@5 76.500 (78.638)
Epoch: [59][6760/9018]	Time 0.597 (0.627)	Data 0.015 (0.003)	Loss 2.1161 (1.9991)	Prec@1 49.000 (48.224)	Prec@5 76.000 (78.636)
Epoch: [59][6770/9018]	Time 0.591 (0.627)	Data 0.001 (0.003)	Loss 1.9046 (1.9991)	Prec@1 47.500 (48.226)	Prec@5 83.000 (78.637)
Epoch: [59][6780/9018]	Time 0.596 (0.627)	Data 0.001 (0.003)	Loss 2.2525 (1.9991)	Prec@1 43.000 (48.223)	Prec@5 73.500 (78.634)
Epoch: [59][6790/9018]	Time 0.643 (0.627)	Data 0.001 (0.003)	Loss 1.8938 (1.9991)	Prec@1 48.000 (48.225)	Prec@5 81.500 (78.635)
Epoch: [59][6800/9018]	Time 0.592 (0.627)	Data 0.015 (0.003)	Loss 2.1512 (1.9991)	Prec@1 45.000 (48.224)	Prec@5 76.000 (78.635)
Epoch: [59][6810/9018]	Time 0.649 (0.627)	Data 0.001 (0.003)	Loss 2.0740 (1.9991)	Prec@1 47.000 (48.226)	Prec@5 78.500 (78.637)
Epoch: [59][6820/9018]	Time 0.592 (0.627)	Data 0.001 (0.003)	Loss 1.7750 (1.9991)	Prec@1 54.000 (48.229)	Prec@5 84.000 (78.638)
Epoch: [59][6830/9018]	Time 0.630 (0.627)	Data 0.001 (0.003)	Loss 2.0634 (1.9991)	Prec@1 46.500 (48.230)	Prec@5 78.000 (78.638)
Epoch: [59][6840/9018]	Time 0.668 (0.627)	Data 0.001 (0.003)	Loss 2.0936 (1.9991)	Prec@1 46.500 (48.228)	Prec@5 77.500 (78.637)
Epoch: [59][6850/9018]	Time 0.601 (0.627)	Data 0.001 (0.003)	Loss 2.0973 (1.9992)	Prec@1 44.000 (48.226)	Prec@5 79.500 (78.636)
Epoch: [59][6860/9018]	Time 0.592 (0.627)	Data 0.001 (0.003)	Loss 1.8683 (1.9992)	Prec@1 49.500 (48.227)	Prec@5 80.500 (78.635)
Epoch: [59][6870/9018]	Time 0.742 (0.627)	Data 0.001 (0.003)	Loss 2.1465 (1.9991)	Prec@1 42.500 (48.227)	Prec@5 72.500 (78.637)
Epoch: [59][6880/9018]	Time 0.641 (0.627)	Data 0.001 (0.003)	Loss 1.9304 (1.9991)	Prec@1 50.000 (48.228)	Prec@5 76.000 (78.636)
Epoch: [59][6890/9018]	Time 0.616 (0.627)	Data 0.001 (0.003)	Loss 2.0046 (1.9992)	Prec@1 50.500 (48.226)	Prec@5 75.000 (78.636)
Epoch: [59][6900/9018]	Time 0.615 (0.627)	Data 0.016 (0.003)	Loss 2.1490 (1.9993)	Prec@1 48.500 (48.225)	Prec@5 72.500 (78.633)
Epoch: [59][6910/9018]	Time 0.604 (0.627)	Data 0.001 (0.003)	Loss 1.8602 (1.9992)	Prec@1 48.000 (48.225)	Prec@5 82.500 (78.636)
Epoch: [59][6920/9018]	Time 0.711 (0.627)	Data 0.001 (0.003)	Loss 1.8883 (1.9992)	Prec@1 47.500 (48.227)	Prec@5 81.000 (78.636)
Epoch: [59][6930/9018]	Time 0.618 (0.627)	Data 0.001 (0.003)	Loss 2.0858 (1.9991)	Prec@1 46.500 (48.228)	Prec@5 77.000 (78.637)
Epoch: [59][6940/9018]	Time 0.631 (0.627)	Data 0.001 (0.003)	Loss 2.0428 (1.9992)	Prec@1 46.000 (48.226)	Prec@5 76.500 (78.636)
Epoch: [59][6950/9018]	Time 0.613 (0.627)	Data 0.001 (0.003)	Loss 2.0546 (1.9992)	Prec@1 45.500 (48.225)	Prec@5 79.000 (78.635)
Epoch: [59][6960/9018]	Time 0.600 (0.627)	Data 0.017 (0.003)	Loss 2.0207 (1.9992)	Prec@1 45.000 (48.225)	Prec@5 79.000 (78.635)
Epoch: [59][6970/9018]	Time 0.636 (0.627)	Data 0.001 (0.003)	Loss 2.1600 (1.9992)	Prec@1 46.000 (48.225)	Prec@5 74.000 (78.635)
Epoch: [59][6980/9018]	Time 0.594 (0.627)	Data 0.001 (0.003)	Loss 1.9958 (1.9991)	Prec@1 46.500 (48.230)	Prec@5 77.500 (78.637)
Epoch: [59][6990/9018]	Time 0.590 (0.627)	Data 0.001 (0.003)	Loss 1.9705 (1.9993)	Prec@1 44.500 (48.227)	Prec@5 78.000 (78.635)
Epoch: [59][7000/9018]	Time 0.605 (0.627)	Data 0.001 (0.003)	Loss 2.0503 (1.9993)	Prec@1 48.500 (48.226)	Prec@5 80.500 (78.635)
Epoch: [59][7010/9018]	Time 0.601 (0.627)	Data 0.001 (0.003)	Loss 1.8748 (1.9993)	Prec@1 52.000 (48.226)	Prec@5 80.000 (78.635)
Epoch: [59][7020/9018]	Time 0.628 (0.627)	Data 0.001 (0.003)	Loss 2.0638 (1.9994)	Prec@1 49.500 (48.225)	Prec@5 77.500 (78.634)
Epoch: [59][7030/9018]	Time 0.633 (0.627)	Data 0.001 (0.003)	Loss 2.0846 (1.9994)	Prec@1 48.000 (48.226)	Prec@5 76.000 (78.634)
Epoch: [59][7040/9018]	Time 0.602 (0.627)	Data 0.001 (0.003)	Loss 1.8738 (1.9994)	Prec@1 57.000 (48.226)	Prec@5 79.500 (78.635)
Epoch: [59][7050/9018]	Time 0.609 (0.627)	Data 0.001 (0.003)	Loss 2.1153 (1.9994)	Prec@1 41.500 (48.226)	Prec@5 77.000 (78.636)
Epoch: [59][7060/9018]	Time 0.638 (0.627)	Data 0.001 (0.003)	Loss 2.0501 (1.9994)	Prec@1 43.000 (48.227)	Prec@5 80.500 (78.635)
Epoch: [59][7070/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 2.0317 (1.9994)	Prec@1 50.000 (48.228)	Prec@5 77.500 (78.635)
Epoch: [59][7080/9018]	Time 0.624 (0.627)	Data 0.001 (0.003)	Loss 1.7627 (1.9995)	Prec@1 52.500 (48.228)	Prec@5 81.500 (78.634)
Epoch: [59][7090/9018]	Time 0.609 (0.627)	Data 0.001 (0.003)	Loss 2.0987 (1.9995)	Prec@1 47.500 (48.228)	Prec@5 78.500 (78.636)
Epoch: [59][7100/9018]	Time 0.612 (0.627)	Data 0.014 (0.003)	Loss 2.1116 (1.9995)	Prec@1 49.500 (48.227)	Prec@5 77.500 (78.635)
Epoch: [59][7110/9018]	Time 0.602 (0.627)	Data 0.001 (0.003)	Loss 2.2645 (1.9995)	Prec@1 45.500 (48.227)	Prec@5 74.500 (78.635)
Epoch: [59][7120/9018]	Time 0.614 (0.627)	Data 0.001 (0.003)	Loss 1.9861 (1.9995)	Prec@1 51.000 (48.228)	Prec@5 76.000 (78.636)
Epoch: [59][7130/9018]	Time 0.621 (0.627)	Data 0.006 (0.003)	Loss 2.1551 (1.9996)	Prec@1 41.500 (48.227)	Prec@5 76.000 (78.634)
Epoch: [59][7140/9018]	Time 0.604 (0.627)	Data 0.001 (0.003)	Loss 1.8700 (1.9996)	Prec@1 57.000 (48.226)	Prec@5 82.500 (78.634)
Epoch: [59][7150/9018]	Time 0.615 (0.627)	Data 0.001 (0.003)	Loss 2.1037 (1.9996)	Prec@1 50.500 (48.228)	Prec@5 79.000 (78.634)
Epoch: [59][7160/9018]	Time 0.609 (0.627)	Data 0.001 (0.003)	Loss 2.1490 (1.9996)	Prec@1 46.500 (48.228)	Prec@5 76.000 (78.632)
Epoch: [59][7170/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 1.8824 (1.9997)	Prec@1 50.000 (48.228)	Prec@5 83.500 (78.631)
Epoch: [59][7180/9018]	Time 0.630 (0.627)	Data 0.001 (0.003)	Loss 1.9976 (1.9997)	Prec@1 48.500 (48.228)	Prec@5 76.500 (78.630)
Epoch: [59][7190/9018]	Time 0.601 (0.627)	Data 0.001 (0.003)	Loss 1.9702 (1.9996)	Prec@1 49.000 (48.228)	Prec@5 81.000 (78.632)
Epoch: [59][7200/9018]	Time 0.742 (0.627)	Data 0.001 (0.003)	Loss 2.0264 (1.9997)	Prec@1 47.000 (48.227)	Prec@5 75.500 (78.630)
Epoch: [59][7210/9018]	Time 0.604 (0.627)	Data 0.001 (0.003)	Loss 2.0609 (1.9998)	Prec@1 46.000 (48.226)	Prec@5 78.500 (78.630)
Epoch: [59][7220/9018]	Time 0.612 (0.627)	Data 0.001 (0.003)	Loss 1.9215 (1.9998)	Prec@1 48.500 (48.226)	Prec@5 81.000 (78.630)
Epoch: [59][7230/9018]	Time 0.643 (0.627)	Data 0.001 (0.003)	Loss 1.8385 (1.9998)	Prec@1 53.000 (48.225)	Prec@5 80.500 (78.630)
Epoch: [59][7240/9018]	Time 0.612 (0.627)	Data 0.001 (0.003)	Loss 2.0858 (1.9999)	Prec@1 44.500 (48.225)	Prec@5 78.500 (78.628)
Epoch: [59][7250/9018]	Time 0.734 (0.627)	Data 0.001 (0.003)	Loss 2.0525 (1.9999)	Prec@1 49.500 (48.226)	Prec@5 77.000 (78.627)
Epoch: [59][7260/9018]	Time 0.609 (0.627)	Data 0.001 (0.003)	Loss 1.7998 (1.9998)	Prec@1 52.000 (48.228)	Prec@5 82.000 (78.627)
Epoch: [59][7270/9018]	Time 0.629 (0.627)	Data 0.001 (0.003)	Loss 1.7194 (1.9998)	Prec@1 58.000 (48.230)	Prec@5 82.500 (78.629)
Epoch: [59][7280/9018]	Time 0.605 (0.627)	Data 0.001 (0.003)	Loss 1.8690 (1.9998)	Prec@1 53.000 (48.230)	Prec@5 80.000 (78.627)
Epoch: [59][7290/9018]	Time 0.629 (0.627)	Data 0.001 (0.003)	Loss 1.9843 (1.9999)	Prec@1 43.500 (48.230)	Prec@5 79.500 (78.626)
Epoch: [59][7300/9018]	Time 0.639 (0.627)	Data 0.001 (0.003)	Loss 2.0265 (1.9999)	Prec@1 45.500 (48.229)	Prec@5 76.000 (78.625)
Epoch: [59][7310/9018]	Time 0.626 (0.627)	Data 0.001 (0.003)	Loss 1.9594 (1.9999)	Prec@1 48.500 (48.228)	Prec@5 79.000 (78.626)
Epoch: [59][7320/9018]	Time 0.641 (0.627)	Data 0.008 (0.003)	Loss 1.8916 (1.9999)	Prec@1 47.500 (48.226)	Prec@5 78.000 (78.625)
Epoch: [59][7330/9018]	Time 0.617 (0.627)	Data 0.001 (0.003)	Loss 2.3040 (2.0000)	Prec@1 46.500 (48.226)	Prec@5 72.500 (78.624)
Epoch: [59][7340/9018]	Time 0.609 (0.627)	Data 0.012 (0.003)	Loss 1.8110 (2.0000)	Prec@1 55.000 (48.227)	Prec@5 84.500 (78.625)
Epoch: [59][7350/9018]	Time 0.625 (0.627)	Data 0.001 (0.003)	Loss 1.9825 (2.0000)	Prec@1 47.000 (48.225)	Prec@5 82.000 (78.626)
Epoch: [59][7360/9018]	Time 0.593 (0.627)	Data 0.001 (0.003)	Loss 1.8997 (1.9999)	Prec@1 52.500 (48.227)	Prec@5 79.000 (78.628)
Epoch: [59][7370/9018]	Time 0.595 (0.627)	Data 0.001 (0.003)	Loss 1.8533 (2.0000)	Prec@1 49.000 (48.227)	Prec@5 82.500 (78.627)
Epoch: [59][7380/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 1.8755 (2.0000)	Prec@1 46.500 (48.227)	Prec@5 80.500 (78.628)
Epoch: [59][7390/9018]	Time 0.595 (0.627)	Data 0.001 (0.003)	Loss 1.9220 (2.0000)	Prec@1 52.000 (48.226)	Prec@5 81.000 (78.627)
Epoch: [59][7400/9018]	Time 0.608 (0.627)	Data 0.001 (0.003)	Loss 1.9697 (2.0000)	Prec@1 48.000 (48.227)	Prec@5 77.500 (78.625)
Epoch: [59][7410/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 2.1576 (2.0000)	Prec@1 44.000 (48.228)	Prec@5 74.500 (78.625)
Epoch: [59][7420/9018]	Time 0.621 (0.627)	Data 0.001 (0.003)	Loss 2.0420 (2.0000)	Prec@1 47.000 (48.230)	Prec@5 77.500 (78.624)
Epoch: [59][7430/9018]	Time 0.663 (0.626)	Data 0.001 (0.003)	Loss 2.1239 (2.0000)	Prec@1 45.000 (48.229)	Prec@5 75.500 (78.623)
Epoch: [59][7440/9018]	Time 0.622 (0.627)	Data 0.006 (0.003)	Loss 2.0477 (2.0000)	Prec@1 46.500 (48.228)	Prec@5 78.000 (78.622)
Epoch: [59][7450/9018]	Time 0.593 (0.627)	Data 0.001 (0.003)	Loss 1.6931 (1.9999)	Prec@1 56.000 (48.232)	Prec@5 85.000 (78.623)
Epoch: [59][7460/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 1.8841 (2.0000)	Prec@1 49.000 (48.231)	Prec@5 82.500 (78.622)
Epoch: [59][7470/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 2.1567 (2.0001)	Prec@1 46.500 (48.230)	Prec@5 75.000 (78.620)
Epoch: [59][7480/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 1.9442 (2.0001)	Prec@1 48.000 (48.230)	Prec@5 80.000 (78.621)
Epoch: [59][7490/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 1.8205 (2.0000)	Prec@1 53.500 (48.232)	Prec@5 82.000 (78.623)
Epoch: [59][7500/9018]	Time 0.640 (0.626)	Data 0.001 (0.003)	Loss 1.8466 (2.0000)	Prec@1 54.500 (48.233)	Prec@5 82.000 (78.623)
Epoch: [59][7510/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 2.1190 (2.0000)	Prec@1 48.000 (48.234)	Prec@5 77.500 (78.622)
Epoch: [59][7520/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.1639 (2.0000)	Prec@1 44.000 (48.234)	Prec@5 77.000 (78.622)
Epoch: [59][7530/9018]	Time 0.729 (0.626)	Data 0.001 (0.003)	Loss 2.0852 (2.0001)	Prec@1 47.000 (48.230)	Prec@5 74.000 (78.621)
Epoch: [59][7540/9018]	Time 0.607 (0.626)	Data 0.006 (0.003)	Loss 1.9779 (2.0000)	Prec@1 49.000 (48.234)	Prec@5 76.500 (78.623)
Epoch: [59][7550/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.8472 (2.0000)	Prec@1 54.500 (48.237)	Prec@5 81.000 (78.626)
Epoch: [59][7560/9018]	Time 0.600 (0.626)	Data 0.020 (0.003)	Loss 2.0489 (2.0000)	Prec@1 44.500 (48.233)	Prec@5 78.500 (78.626)
Epoch: [59][7570/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0372 (2.0000)	Prec@1 50.000 (48.233)	Prec@5 76.000 (78.625)
Epoch: [59][7580/9018]	Time 0.745 (0.626)	Data 0.001 (0.003)	Loss 2.0634 (2.0000)	Prec@1 41.000 (48.232)	Prec@5 81.000 (78.624)
Epoch: [59][7590/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.0279 (2.0000)	Prec@1 51.500 (48.233)	Prec@5 79.000 (78.625)
Epoch: [59][7600/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 2.0517 (2.0000)	Prec@1 47.500 (48.233)	Prec@5 77.500 (78.624)
Epoch: [59][7610/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0720 (2.0000)	Prec@1 47.500 (48.233)	Prec@5 74.000 (78.624)
Epoch: [59][7620/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 2.1264 (2.0000)	Prec@1 45.500 (48.234)	Prec@5 77.500 (78.624)
Epoch: [59][7630/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 1.8463 (2.0000)	Prec@1 55.000 (48.234)	Prec@5 84.500 (78.623)
Epoch: [59][7640/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 2.1644 (2.0000)	Prec@1 40.000 (48.233)	Prec@5 79.000 (78.624)
Epoch: [59][7650/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.0028 (2.0000)	Prec@1 52.500 (48.232)	Prec@5 76.000 (78.623)
Epoch: [59][7660/9018]	Time 0.615 (0.626)	Data 0.001 (0.003)	Loss 2.0082 (2.0001)	Prec@1 48.500 (48.231)	Prec@5 74.500 (78.622)
Epoch: [59][7670/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.9893 (2.0001)	Prec@1 46.000 (48.233)	Prec@5 79.500 (78.624)
Epoch: [59][7680/9018]	Time 0.643 (0.626)	Data 0.001 (0.003)	Loss 1.8118 (2.0001)	Prec@1 49.000 (48.232)	Prec@5 82.000 (78.622)
Epoch: [59][7690/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.9861 (2.0001)	Prec@1 49.500 (48.231)	Prec@5 73.000 (78.621)
Epoch: [59][7700/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.1616 (2.0002)	Prec@1 45.000 (48.228)	Prec@5 76.500 (78.619)
Epoch: [59][7710/9018]	Time 0.594 (0.626)	Data 0.001 (0.003)	Loss 2.1314 (2.0002)	Prec@1 44.000 (48.229)	Prec@5 78.000 (78.619)
Epoch: [59][7720/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 1.8824 (2.0003)	Prec@1 50.000 (48.228)	Prec@5 84.000 (78.619)
Epoch: [59][7730/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 1.9862 (2.0003)	Prec@1 47.000 (48.228)	Prec@5 78.500 (78.618)
Epoch: [59][7740/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 2.1972 (2.0004)	Prec@1 43.500 (48.225)	Prec@5 77.000 (78.616)
Epoch: [59][7750/9018]	Time 0.638 (0.626)	Data 0.001 (0.003)	Loss 2.0007 (2.0004)	Prec@1 48.500 (48.225)	Prec@5 80.000 (78.616)
Epoch: [59][7760/9018]	Time 0.605 (0.626)	Data 0.015 (0.003)	Loss 1.7232 (2.0005)	Prec@1 51.500 (48.222)	Prec@5 85.000 (78.616)
Epoch: [59][7770/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 1.7424 (2.0005)	Prec@1 53.000 (48.224)	Prec@5 83.000 (78.616)
Epoch: [59][7780/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.8249 (2.0005)	Prec@1 51.500 (48.222)	Prec@5 82.000 (78.616)
Epoch: [59][7790/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 2.1978 (2.0005)	Prec@1 45.500 (48.222)	Prec@5 74.500 (78.616)
Epoch: [59][7800/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 2.0903 (2.0006)	Prec@1 45.500 (48.220)	Prec@5 78.500 (78.615)
Epoch: [59][7810/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.1322 (2.0007)	Prec@1 43.500 (48.218)	Prec@5 73.000 (78.613)
Epoch: [59][7820/9018]	Time 0.611 (0.626)	Data 0.001 (0.003)	Loss 2.1275 (2.0006)	Prec@1 47.000 (48.218)	Prec@5 76.500 (78.612)
Epoch: [59][7830/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 2.0836 (2.0006)	Prec@1 47.000 (48.220)	Prec@5 77.500 (78.612)
Epoch: [59][7840/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.0263 (2.0006)	Prec@1 49.500 (48.219)	Prec@5 77.500 (78.611)
Epoch: [59][7850/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.9575 (2.0006)	Prec@1 50.000 (48.220)	Prec@5 79.000 (78.612)
Epoch: [59][7860/9018]	Time 0.775 (0.626)	Data 0.001 (0.003)	Loss 1.9960 (2.0006)	Prec@1 44.000 (48.219)	Prec@5 84.000 (78.613)
Epoch: [59][7870/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 1.9738 (2.0006)	Prec@1 50.000 (48.220)	Prec@5 77.000 (78.614)
Epoch: [59][7880/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.2265 (2.0006)	Prec@1 42.500 (48.221)	Prec@5 74.000 (78.614)
Epoch: [59][7890/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 2.0487 (2.0006)	Prec@1 49.500 (48.220)	Prec@5 76.000 (78.614)
Epoch: [59][7900/9018]	Time 0.628 (0.626)	Data 0.010 (0.003)	Loss 2.2286 (2.0006)	Prec@1 44.500 (48.219)	Prec@5 73.000 (78.613)
Epoch: [59][7910/9018]	Time 0.777 (0.626)	Data 0.001 (0.003)	Loss 2.0185 (2.0007)	Prec@1 48.000 (48.217)	Prec@5 78.500 (78.611)
Epoch: [59][7920/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.9475 (2.0008)	Prec@1 48.500 (48.217)	Prec@5 78.500 (78.610)
Epoch: [59][7930/9018]	Time 0.600 (0.626)	Data 0.001 (0.003)	Loss 1.8772 (2.0007)	Prec@1 50.500 (48.218)	Prec@5 82.000 (78.612)
Epoch: [59][7940/9018]	Time 0.613 (0.626)	Data 0.012 (0.003)	Loss 2.3182 (2.0008)	Prec@1 42.000 (48.218)	Prec@5 73.500 (78.612)
Epoch: [59][7950/9018]	Time 0.604 (0.626)	Data 0.001 (0.003)	Loss 1.8592 (2.0008)	Prec@1 53.000 (48.217)	Prec@5 83.000 (78.613)
Epoch: [59][7960/9018]	Time 0.637 (0.626)	Data 0.001 (0.003)	Loss 1.8790 (2.0008)	Prec@1 48.000 (48.215)	Prec@5 83.000 (78.613)
Epoch: [59][7970/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 2.0140 (2.0008)	Prec@1 45.000 (48.213)	Prec@5 74.000 (78.612)
Epoch: [59][7980/9018]	Time 0.631 (0.626)	Data 0.014 (0.003)	Loss 2.2117 (2.0009)	Prec@1 41.000 (48.210)	Prec@5 74.000 (78.610)
Epoch: [59][7990/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 2.1174 (2.0010)	Prec@1 46.000 (48.209)	Prec@5 75.500 (78.610)
Epoch: [59][8000/9018]	Time 0.599 (0.626)	Data 0.001 (0.003)	Loss 2.0930 (2.0010)	Prec@1 44.500 (48.208)	Prec@5 79.500 (78.611)
Epoch: [59][8010/9018]	Time 0.648 (0.626)	Data 0.001 (0.003)	Loss 1.8913 (2.0010)	Prec@1 50.000 (48.209)	Prec@5 83.500 (78.613)
Epoch: [59][8020/9018]	Time 0.592 (0.626)	Data 0.001 (0.003)	Loss 2.0217 (2.0010)	Prec@1 50.500 (48.208)	Prec@5 78.000 (78.613)
Epoch: [59][8030/9018]	Time 0.643 (0.626)	Data 0.001 (0.003)	Loss 1.9352 (2.0010)	Prec@1 50.000 (48.208)	Prec@5 76.500 (78.612)
Epoch: [59][8040/9018]	Time 0.623 (0.626)	Data 0.001 (0.003)	Loss 1.9117 (2.0010)	Prec@1 50.000 (48.206)	Prec@5 78.500 (78.613)
Epoch: [59][8050/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.0561 (2.0009)	Prec@1 49.500 (48.207)	Prec@5 76.500 (78.613)
Epoch: [59][8060/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.8619 (2.0009)	Prec@1 54.000 (48.207)	Prec@5 82.000 (78.614)
Epoch: [59][8070/9018]	Time 0.636 (0.626)	Data 0.001 (0.003)	Loss 1.7743 (2.0009)	Prec@1 50.000 (48.207)	Prec@5 83.500 (78.615)
Epoch: [59][8080/9018]	Time 0.633 (0.626)	Data 0.001 (0.003)	Loss 1.8175 (2.0009)	Prec@1 51.000 (48.209)	Prec@5 82.000 (78.614)
Epoch: [59][8090/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.7652 (2.0008)	Prec@1 53.000 (48.210)	Prec@5 82.500 (78.615)
Epoch: [59][8100/9018]	Time 0.591 (0.626)	Data 0.001 (0.003)	Loss 1.9310 (2.0008)	Prec@1 52.500 (48.210)	Prec@5 79.500 (78.615)
Epoch: [59][8110/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.9378 (2.0009)	Prec@1 49.500 (48.209)	Prec@5 80.000 (78.614)
Epoch: [59][8120/9018]	Time 0.626 (0.626)	Data 0.001 (0.003)	Loss 2.1196 (2.0009)	Prec@1 47.000 (48.209)	Prec@5 77.000 (78.613)
Epoch: [59][8130/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 2.0059 (2.0009)	Prec@1 47.000 (48.211)	Prec@5 79.500 (78.615)
Epoch: [59][8140/9018]	Time 0.619 (0.626)	Data 0.015 (0.003)	Loss 2.1144 (2.0010)	Prec@1 46.000 (48.207)	Prec@5 76.000 (78.612)
Epoch: [59][8150/9018]	Time 0.594 (0.626)	Data 0.001 (0.003)	Loss 2.0262 (2.0010)	Prec@1 49.500 (48.206)	Prec@5 78.000 (78.613)
Epoch: [59][8160/9018]	Time 0.608 (0.626)	Data 0.017 (0.003)	Loss 1.9911 (2.0010)	Prec@1 48.500 (48.204)	Prec@5 77.500 (78.612)
Epoch: [59][8170/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 1.9524 (2.0010)	Prec@1 46.000 (48.203)	Prec@5 78.500 (78.610)
Epoch: [59][8180/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.9883 (2.0011)	Prec@1 49.000 (48.202)	Prec@5 79.500 (78.609)
Epoch: [59][8190/9018]	Time 0.738 (0.626)	Data 0.001 (0.003)	Loss 2.1325 (2.0011)	Prec@1 46.000 (48.201)	Prec@5 74.500 (78.609)
Epoch: [59][8200/9018]	Time 0.597 (0.626)	Data 0.001 (0.003)	Loss 2.0362 (2.0011)	Prec@1 43.000 (48.199)	Prec@5 81.000 (78.609)
Epoch: [59][8210/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 1.9375 (2.0012)	Prec@1 47.500 (48.196)	Prec@5 81.000 (78.607)
Epoch: [59][8220/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.0577 (2.0012)	Prec@1 48.500 (48.196)	Prec@5 76.500 (78.608)
Epoch: [59][8230/9018]	Time 0.640 (0.626)	Data 0.002 (0.003)	Loss 2.0751 (2.0013)	Prec@1 45.000 (48.195)	Prec@5 79.000 (78.607)
Epoch: [59][8240/9018]	Time 0.730 (0.626)	Data 0.001 (0.003)	Loss 1.7368 (2.0012)	Prec@1 53.500 (48.196)	Prec@5 83.000 (78.609)
Epoch: [59][8250/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.9922 (2.0012)	Prec@1 49.000 (48.195)	Prec@5 77.000 (78.608)
Epoch: [59][8260/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 2.2210 (2.0013)	Prec@1 41.500 (48.193)	Prec@5 78.000 (78.609)
Epoch: [59][8270/9018]	Time 0.592 (0.626)	Data 0.001 (0.003)	Loss 2.0568 (2.0013)	Prec@1 44.500 (48.192)	Prec@5 79.000 (78.608)
Epoch: [59][8280/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 2.1818 (2.0013)	Prec@1 39.500 (48.190)	Prec@5 75.500 (78.608)
Epoch: [59][8290/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 1.9230 (2.0014)	Prec@1 52.500 (48.190)	Prec@5 82.000 (78.606)
Epoch: [59][8300/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 1.8550 (2.0014)	Prec@1 49.000 (48.192)	Prec@5 83.500 (78.606)
Epoch: [59][8310/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 1.9458 (2.0014)	Prec@1 47.500 (48.192)	Prec@5 80.500 (78.606)
Epoch: [59][8320/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 1.9880 (2.0015)	Prec@1 50.500 (48.191)	Prec@5 79.000 (78.605)
Epoch: [59][8330/9018]	Time 0.597 (0.626)	Data 0.001 (0.003)	Loss 2.1551 (2.0014)	Prec@1 45.000 (48.191)	Prec@5 77.000 (78.605)
Epoch: [59][8340/9018]	Time 0.637 (0.626)	Data 0.001 (0.003)	Loss 2.0621 (2.0014)	Prec@1 44.500 (48.191)	Prec@5 80.000 (78.606)
Epoch: [59][8350/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 2.1190 (2.0015)	Prec@1 44.000 (48.191)	Prec@5 75.500 (78.604)
Epoch: [59][8360/9018]	Time 0.607 (0.626)	Data 0.001 (0.003)	Loss 2.0022 (2.0015)	Prec@1 45.500 (48.188)	Prec@5 79.000 (78.605)
Epoch: [59][8370/9018]	Time 0.601 (0.626)	Data 0.001 (0.003)	Loss 1.8181 (2.0015)	Prec@1 51.000 (48.187)	Prec@5 83.500 (78.605)
Epoch: [59][8380/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.0281 (2.0014)	Prec@1 50.000 (48.189)	Prec@5 79.000 (78.607)
Epoch: [59][8390/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.1360 (2.0015)	Prec@1 42.500 (48.187)	Prec@5 78.000 (78.607)
Epoch: [59][8400/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.0497 (2.0016)	Prec@1 49.000 (48.186)	Prec@5 78.000 (78.606)
Epoch: [59][8410/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 1.9576 (2.0015)	Prec@1 44.000 (48.185)	Prec@5 79.500 (78.606)
Epoch: [59][8420/9018]	Time 0.610 (0.626)	Data 0.001 (0.003)	Loss 2.0619 (2.0016)	Prec@1 47.500 (48.183)	Prec@5 79.000 (78.604)
Epoch: [59][8430/9018]	Time 0.626 (0.626)	Data 0.001 (0.003)	Loss 2.0881 (2.0017)	Prec@1 50.500 (48.180)	Prec@5 77.500 (78.603)
Epoch: [59][8440/9018]	Time 0.622 (0.626)	Data 0.001 (0.003)	Loss 1.9959 (2.0016)	Prec@1 48.000 (48.182)	Prec@5 78.500 (78.603)
Epoch: [59][8450/9018]	Time 0.597 (0.626)	Data 0.001 (0.003)	Loss 1.9419 (2.0016)	Prec@1 48.000 (48.182)	Prec@5 79.500 (78.604)
Epoch: [59][8460/9018]	Time 0.646 (0.626)	Data 0.001 (0.003)	Loss 1.7911 (2.0015)	Prec@1 53.000 (48.183)	Prec@5 81.000 (78.605)
Epoch: [59][8470/9018]	Time 0.616 (0.626)	Data 0.001 (0.003)	Loss 2.1253 (2.0015)	Prec@1 47.500 (48.181)	Prec@5 77.000 (78.606)
Epoch: [59][8480/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 2.0274 (2.0016)	Prec@1 47.000 (48.180)	Prec@5 79.000 (78.604)
Epoch: [59][8490/9018]	Time 0.646 (0.626)	Data 0.001 (0.003)	Loss 1.8313 (2.0017)	Prec@1 52.000 (48.181)	Prec@5 80.000 (78.603)
Epoch: [59][8500/9018]	Time 0.600 (0.626)	Data 0.014 (0.003)	Loss 1.7645 (2.0017)	Prec@1 54.500 (48.181)	Prec@5 81.500 (78.602)
Epoch: [59][8510/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 1.9464 (2.0017)	Prec@1 51.000 (48.181)	Prec@5 79.000 (78.601)
Epoch: [59][8520/9018]	Time 0.737 (0.626)	Data 0.001 (0.003)	Loss 1.9663 (2.0017)	Prec@1 46.000 (48.181)	Prec@5 80.500 (78.600)
Epoch: [59][8530/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.9773 (2.0017)	Prec@1 46.500 (48.178)	Prec@5 80.000 (78.601)
Epoch: [59][8540/9018]	Time 0.611 (0.626)	Data 0.002 (0.003)	Loss 2.1440 (2.0017)	Prec@1 42.500 (48.178)	Prec@5 76.500 (78.600)
Epoch: [59][8550/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 1.8739 (2.0018)	Prec@1 51.000 (48.177)	Prec@5 82.000 (78.600)
Epoch: [59][8560/9018]	Time 0.598 (0.626)	Data 0.001 (0.003)	Loss 1.9080 (2.0017)	Prec@1 50.000 (48.178)	Prec@5 83.500 (78.601)
Epoch: [59][8570/9018]	Time 0.719 (0.626)	Data 0.001 (0.003)	Loss 1.7546 (2.0017)	Prec@1 52.500 (48.179)	Prec@5 84.500 (78.602)
Epoch: [59][8580/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 2.1102 (2.0017)	Prec@1 47.500 (48.179)	Prec@5 77.500 (78.602)
Epoch: [59][8590/9018]	Time 0.614 (0.626)	Data 0.001 (0.003)	Loss 1.9929 (2.0017)	Prec@1 45.000 (48.179)	Prec@5 77.000 (78.601)
Epoch: [59][8600/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.1617 (2.0017)	Prec@1 41.500 (48.180)	Prec@5 78.500 (78.602)
Epoch: [59][8610/9018]	Time 0.611 (0.626)	Data 0.002 (0.003)	Loss 2.2042 (2.0017)	Prec@1 41.000 (48.177)	Prec@5 75.000 (78.601)
Epoch: [59][8620/9018]	Time 0.655 (0.626)	Data 0.001 (0.003)	Loss 1.9874 (2.0018)	Prec@1 50.500 (48.177)	Prec@5 77.500 (78.600)
Epoch: [59][8630/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.2084 (2.0019)	Prec@1 44.000 (48.176)	Prec@5 78.000 (78.599)
Epoch: [59][8640/9018]	Time 0.621 (0.626)	Data 0.017 (0.003)	Loss 2.1341 (2.0019)	Prec@1 48.500 (48.174)	Prec@5 78.000 (78.598)
Epoch: [59][8650/9018]	Time 0.609 (0.626)	Data 0.001 (0.003)	Loss 1.9323 (2.0019)	Prec@1 52.500 (48.175)	Prec@5 77.000 (78.597)
Epoch: [59][8660/9018]	Time 0.613 (0.626)	Data 0.015 (0.003)	Loss 1.9751 (2.0019)	Prec@1 49.000 (48.176)	Prec@5 82.500 (78.597)
Epoch: [59][8670/9018]	Time 0.624 (0.626)	Data 0.001 (0.003)	Loss 1.9821 (2.0019)	Prec@1 43.500 (48.173)	Prec@5 78.000 (78.596)
Epoch: [59][8680/9018]	Time 0.633 (0.626)	Data 0.001 (0.003)	Loss 1.8553 (2.0020)	Prec@1 51.500 (48.170)	Prec@5 83.500 (78.595)
Epoch: [59][8690/9018]	Time 0.603 (0.626)	Data 0.001 (0.003)	Loss 2.1693 (2.0020)	Prec@1 44.000 (48.168)	Prec@5 76.000 (78.595)
Epoch: [59][8700/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.7752 (2.0020)	Prec@1 46.000 (48.167)	Prec@5 85.000 (78.596)
Epoch: [59][8710/9018]	Time 0.610 (0.626)	Data 0.015 (0.003)	Loss 1.8575 (2.0020)	Prec@1 53.000 (48.167)	Prec@5 78.500 (78.595)
Epoch: [59][8720/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 1.8882 (2.0020)	Prec@1 52.500 (48.167)	Prec@5 80.500 (78.594)
Epoch: [59][8730/9018]	Time 0.606 (0.626)	Data 0.001 (0.003)	Loss 2.0324 (2.0019)	Prec@1 48.000 (48.168)	Prec@5 77.500 (78.595)
Epoch: [59][8740/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.0555 (2.0019)	Prec@1 46.000 (48.171)	Prec@5 78.500 (78.597)
Epoch: [59][8750/9018]	Time 0.595 (0.626)	Data 0.006 (0.003)	Loss 1.9269 (2.0018)	Prec@1 48.000 (48.170)	Prec@5 81.000 (78.599)
Epoch: [59][8760/9018]	Time 0.621 (0.626)	Data 0.001 (0.003)	Loss 2.1016 (2.0019)	Prec@1 49.000 (48.167)	Prec@5 78.000 (78.598)
Epoch: [59][8770/9018]	Time 0.594 (0.626)	Data 0.001 (0.003)	Loss 2.0958 (2.0019)	Prec@1 42.500 (48.166)	Prec@5 79.500 (78.598)
Epoch: [59][8780/9018]	Time 0.598 (0.626)	Data 0.014 (0.003)	Loss 2.0068 (2.0019)	Prec@1 50.500 (48.167)	Prec@5 76.500 (78.599)
Epoch: [59][8790/9018]	Time 0.619 (0.626)	Data 0.001 (0.003)	Loss 2.1318 (2.0020)	Prec@1 46.000 (48.165)	Prec@5 75.500 (78.598)
Epoch: [59][8800/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.9640 (2.0020)	Prec@1 49.000 (48.164)	Prec@5 80.000 (78.597)
Epoch: [59][8810/9018]	Time 0.645 (0.626)	Data 0.001 (0.003)	Loss 1.9181 (2.0020)	Prec@1 47.000 (48.164)	Prec@5 82.000 (78.598)
Epoch: [59][8820/9018]	Time 0.619 (0.626)	Data 0.012 (0.003)	Loss 2.0093 (2.0020)	Prec@1 51.500 (48.164)	Prec@5 78.000 (78.597)
Epoch: [59][8830/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.0839 (2.0021)	Prec@1 42.500 (48.163)	Prec@5 78.000 (78.596)
Epoch: [59][8840/9018]	Time 0.593 (0.626)	Data 0.001 (0.003)	Loss 1.9900 (2.0021)	Prec@1 44.500 (48.161)	Prec@5 78.000 (78.595)
Epoch: [59][8850/9018]	Time 0.777 (0.626)	Data 0.001 (0.003)	Loss 1.9661 (2.0021)	Prec@1 47.000 (48.160)	Prec@5 81.000 (78.596)
Epoch: [59][8860/9018]	Time 0.625 (0.626)	Data 0.014 (0.003)	Loss 2.0107 (2.0021)	Prec@1 51.000 (48.163)	Prec@5 77.500 (78.597)
Epoch: [59][8870/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 2.0398 (2.0021)	Prec@1 50.000 (48.164)	Prec@5 75.500 (78.598)
Epoch: [59][8880/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 2.1894 (2.0021)	Prec@1 38.500 (48.165)	Prec@5 77.000 (78.597)
Epoch: [59][8890/9018]	Time 0.617 (0.626)	Data 0.001 (0.003)	Loss 1.8965 (2.0021)	Prec@1 47.000 (48.163)	Prec@5 82.000 (78.598)
Epoch: [59][8900/9018]	Time 0.721 (0.626)	Data 0.001 (0.003)	Loss 2.1084 (2.0020)	Prec@1 45.000 (48.163)	Prec@5 75.500 (78.598)
Epoch: [59][8910/9018]	Time 0.631 (0.626)	Data 0.001 (0.003)	Loss 1.8550 (2.0020)	Prec@1 50.500 (48.162)	Prec@5 79.500 (78.597)
Epoch: [59][8920/9018]	Time 0.595 (0.626)	Data 0.001 (0.003)	Loss 2.0994 (2.0021)	Prec@1 50.000 (48.161)	Prec@5 76.000 (78.595)
Epoch: [59][8930/9018]	Time 0.628 (0.626)	Data 0.001 (0.003)	Loss 1.9466 (2.0021)	Prec@1 47.500 (48.161)	Prec@5 76.500 (78.595)
Epoch: [59][8940/9018]	Time 0.620 (0.626)	Data 0.001 (0.003)	Loss 1.8012 (2.0022)	Prec@1 51.000 (48.159)	Prec@5 82.000 (78.595)
Epoch: [59][8950/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 2.0763 (2.0022)	Prec@1 49.000 (48.158)	Prec@5 79.000 (78.595)
Epoch: [59][8960/9018]	Time 0.608 (0.626)	Data 0.001 (0.003)	Loss 2.0949 (2.0023)	Prec@1 46.000 (48.156)	Prec@5 78.000 (78.594)
Epoch: [59][8970/9018]	Time 0.631 (0.626)	Data 0.001 (0.003)	Loss 2.0960 (2.0023)	Prec@1 46.000 (48.156)	Prec@5 76.500 (78.592)
Epoch: [59][8980/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 1.9024 (2.0023)	Prec@1 53.000 (48.158)	Prec@5 81.000 (78.592)
Epoch: [59][8990/9018]	Time 0.645 (0.626)	Data 0.018 (0.003)	Loss 1.9750 (2.0022)	Prec@1 45.500 (48.159)	Prec@5 82.000 (78.595)
Epoch: [59][9000/9018]	Time 0.594 (0.626)	Data 0.001 (0.003)	Loss 1.9811 (2.0022)	Prec@1 46.000 (48.156)	Prec@5 76.500 (78.595)
Epoch: [59][9010/9018]	Time 0.625 (0.626)	Data 0.000 (0.003)	Loss 1.9915 (2.0022)	Prec@1 47.000 (48.156)	Prec@5 79.000 (78.595)
Test: [0/183]	Time 1.346 (1.346)	Loss 2.4905 (2.4905)	Prec@1 37.500 (37.500)	Prec@5 73.000 (73.000)
Test: [10/183]	Time 0.201 (0.327)	Loss 1.5637 (1.7544)	Prec@1 61.500 (53.909)	Prec@5 86.000 (84.182)
Test: [20/183]	Time 0.186 (0.276)	Loss 1.9883 (1.7132)	Prec@1 49.500 (54.381)	Prec@5 79.500 (84.333)
Test: [30/183]	Time 0.240 (0.254)	Loss 2.3121 (1.7571)	Prec@1 28.500 (52.339)	Prec@5 79.000 (84.145)
Test: [40/183]	Time 0.203 (0.243)	Loss 2.1232 (1.7416)	Prec@1 40.500 (53.256)	Prec@5 84.000 (83.927)
Test: [50/183]	Time 0.189 (0.238)	Loss 1.7114 (1.7202)	Prec@1 51.000 (53.725)	Prec@5 85.500 (84.098)
Test: [60/183]	Time 0.215 (0.232)	Loss 2.4278 (1.7956)	Prec@1 39.500 (51.484)	Prec@5 71.000 (83.107)
Test: [70/183]	Time 0.218 (0.229)	Loss 1.7662 (1.7921)	Prec@1 53.000 (51.472)	Prec@5 83.500 (83.232)
Test: [80/183]	Time 0.245 (0.226)	Loss 1.4613 (1.7815)	Prec@1 52.500 (51.537)	Prec@5 91.500 (83.309)
Test: [90/183]	Time 0.189 (0.224)	Loss 2.1611 (1.7716)	Prec@1 47.000 (51.885)	Prec@5 75.500 (83.445)
Test: [100/183]	Time 0.203 (0.223)	Loss 0.9087 (1.7689)	Prec@1 73.500 (52.015)	Prec@5 94.000 (83.411)
Test: [110/183]	Time 0.204 (0.222)	Loss 0.6591 (1.7681)	Prec@1 82.000 (51.964)	Prec@5 97.500 (83.387)
Test: [120/183]	Time 0.203 (0.221)	Loss 2.1798 (1.7624)	Prec@1 41.000 (52.066)	Prec@5 75.500 (83.545)
Test: [130/183]	Time 0.275 (0.220)	Loss 3.0417 (1.7661)	Prec@1 16.000 (51.981)	Prec@5 69.000 (83.641)
Test: [140/183]	Time 0.212 (0.220)	Loss 1.5678 (1.7498)	Prec@1 62.000 (52.489)	Prec@5 83.500 (83.851)
Test: [150/183]	Time 0.214 (0.220)	Loss 0.6752 (1.7491)	Prec@1 80.000 (52.523)	Prec@5 98.000 (83.841)
Test: [160/183]	Time 0.195 (0.219)	Loss 1.4714 (1.7423)	Prec@1 59.000 (52.870)	Prec@5 87.000 (83.882)
Test: [170/183]	Time 0.226 (0.219)	Loss 2.0661 (1.7644)	Prec@1 40.500 (52.304)	Prec@5 84.500 (83.488)
Test: [180/183]	Time 0.262 (0.218)	Loss 2.0152 (1.7713)	Prec@1 43.500 (52.193)	Prec@5 82.500 (83.373)
 * Prec@1 52.159 Prec@5 83.359
Epoch: [60][0/9018]	Time 3.031 (3.031)	Data 2.368 (2.368)	Loss 2.1503 (2.1503)	Prec@1 45.000 (45.000)	Prec@5 73.500 (73.500)
Epoch: [60][10/9018]	Time 0.601 (0.832)	Data 0.001 (0.216)	Loss 2.1395 (2.0111)	Prec@1 44.000 (47.000)	Prec@5 77.500 (78.818)
Epoch: [60][20/9018]	Time 0.610 (0.735)	Data 0.001 (0.115)	Loss 1.9707 (2.0010)	Prec@1 50.000 (47.786)	Prec@5 75.000 (78.143)
Epoch: [60][30/9018]	Time 0.613 (0.700)	Data 0.001 (0.078)	Loss 1.9485 (2.0101)	Prec@1 50.000 (47.984)	Prec@5 79.500 (77.935)
Epoch: [60][40/9018]	Time 0.619 (0.681)	Data 0.015 (0.060)	Loss 2.0611 (2.0042)	Prec@1 45.500 (48.268)	Prec@5 75.000 (77.878)
Epoch: [60][50/9018]	Time 0.619 (0.670)	Data 0.001 (0.049)	Loss 2.0328 (1.9910)	Prec@1 47.000 (48.235)	Prec@5 78.500 (78.157)
Epoch: [60][60/9018]	Time 0.592 (0.662)	Data 0.001 (0.041)	Loss 1.8648 (1.9830)	Prec@1 51.000 (48.492)	Prec@5 79.500 (78.443)
Epoch: [60][70/9018]	Time 0.603 (0.656)	Data 0.001 (0.036)	Loss 1.7524 (1.9765)	Prec@1 54.500 (48.775)	Prec@5 81.000 (78.683)
Epoch: [60][80/9018]	Time 0.637 (0.653)	Data 0.001 (0.031)	Loss 1.7206 (1.9725)	Prec@1 55.000 (48.969)	Prec@5 82.500 (78.833)
Epoch: [60][90/9018]	Time 0.597 (0.649)	Data 0.001 (0.028)	Loss 2.3531 (1.9732)	Prec@1 40.500 (48.940)	Prec@5 71.500 (78.835)
Epoch: [60][100/9018]	Time 0.632 (0.648)	Data 0.001 (0.026)	Loss 1.8784 (1.9702)	Prec@1 52.000 (49.035)	Prec@5 81.500 (78.911)
Epoch: [60][110/9018]	Time 0.610 (0.644)	Data 0.001 (0.024)	Loss 1.7542 (1.9589)	Prec@1 53.000 (49.194)	Prec@5 84.000 (79.167)
Epoch: [60][120/9018]	Time 0.601 (0.642)	Data 0.001 (0.022)	Loss 1.8376 (1.9536)	Prec@1 50.000 (49.174)	Prec@5 81.000 (79.273)
Epoch: [60][130/9018]	Time 0.613 (0.641)	Data 0.001 (0.020)	Loss 1.9287 (1.9482)	Prec@1 50.000 (49.332)	Prec@5 77.000 (79.366)
Epoch: [60][140/9018]	Time 0.626 (0.640)	Data 0.001 (0.019)	Loss 2.0274 (1.9421)	Prec@1 46.500 (49.457)	Prec@5 76.500 (79.500)
Epoch: [60][150/9018]	Time 0.594 (0.638)	Data 0.001 (0.018)	Loss 1.8331 (1.9393)	Prec@1 53.000 (49.477)	Prec@5 80.000 (79.526)
Epoch: [60][160/9018]	Time 0.622 (0.636)	Data 0.001 (0.017)	Loss 1.9564 (1.9367)	Prec@1 51.000 (49.649)	Prec@5 78.000 (79.553)
Epoch: [60][170/9018]	Time 0.598 (0.636)	Data 0.001 (0.016)	Loss 1.9453 (1.9360)	Prec@1 51.000 (49.702)	Prec@5 76.500 (79.579)
Epoch: [60][180/9018]	Time 0.657 (0.636)	Data 0.001 (0.015)	Loss 1.9668 (1.9334)	Prec@1 46.500 (49.704)	Prec@5 79.000 (79.666)
Epoch: [60][190/9018]	Time 0.623 (0.635)	Data 0.001 (0.015)	Loss 1.9973 (1.9328)	Prec@1 49.000 (49.772)	Prec@5 78.500 (79.730)
Epoch: [60][200/9018]	Time 0.614 (0.635)	Data 0.001 (0.014)	Loss 1.8207 (1.9330)	Prec@1 51.000 (49.779)	Prec@5 83.500 (79.771)
Epoch: [60][210/9018]	Time 0.611 (0.634)	Data 0.001 (0.013)	Loss 1.8480 (1.9301)	Prec@1 52.000 (49.848)	Prec@5 82.500 (79.860)
Epoch: [60][220/9018]	Time 0.623 (0.634)	Data 0.001 (0.013)	Loss 1.7006 (1.9252)	Prec@1 54.500 (49.934)	Prec@5 85.500 (79.968)
Epoch: [60][230/9018]	Time 0.604 (0.633)	Data 0.001 (0.012)	Loss 1.8880 (1.9229)	Prec@1 52.500 (49.929)	Prec@5 83.500 (80.024)
Epoch: [60][240/9018]	Time 0.598 (0.632)	Data 0.001 (0.012)	Loss 2.1393 (1.9252)	Prec@1 46.000 (49.846)	Prec@5 77.000 (79.963)
Epoch: [60][250/9018]	Time 0.608 (0.632)	Data 0.001 (0.011)	Loss 2.0222 (1.9245)	Prec@1 53.500 (49.890)	Prec@5 79.000 (79.946)
Epoch: [60][260/9018]	Time 0.717 (0.631)	Data 0.001 (0.011)	Loss 2.0069 (1.9233)	Prec@1 50.000 (49.944)	Prec@5 78.500 (79.956)
Epoch: [60][270/9018]	Time 0.618 (0.631)	Data 0.001 (0.011)	Loss 1.9991 (1.9220)	Prec@1 50.000 (49.959)	Prec@5 76.500 (79.972)
Epoch: [60][280/9018]	Time 0.643 (0.631)	Data 0.001 (0.010)	Loss 2.0703 (1.9221)	Prec@1 49.500 (49.966)	Prec@5 76.500 (79.963)
Epoch: [60][290/9018]	Time 0.597 (0.630)	Data 0.001 (0.010)	Loss 1.9080 (1.9215)	Prec@1 51.000 (50.034)	Prec@5 77.000 (79.955)
Epoch: [60][300/9018]	Time 0.610 (0.630)	Data 0.001 (0.010)	Loss 1.9874 (1.9216)	Prec@1 55.000 (50.073)	Prec@5 76.500 (79.945)
Epoch: [60][310/9018]	Time 0.740 (0.630)	Data 0.001 (0.010)	Loss 1.9335 (1.9216)	Prec@1 46.000 (50.040)	Prec@5 83.500 (80.002)
Epoch: [60][320/9018]	Time 0.621 (0.630)	Data 0.001 (0.009)	Loss 1.7601 (1.9197)	Prec@1 54.000 (50.089)	Prec@5 81.000 (79.981)
Epoch: [60][330/9018]	Time 0.652 (0.629)	Data 0.001 (0.009)	Loss 1.9806 (1.9196)	Prec@1 53.000 (50.140)	Prec@5 78.500 (79.979)
Epoch: [60][340/9018]	Time 0.592 (0.629)	Data 0.001 (0.009)	Loss 1.8706 (1.9192)	Prec@1 51.500 (50.198)	Prec@5 82.500 (79.974)
Epoch: [60][350/9018]	Time 0.622 (0.629)	Data 0.001 (0.009)	Loss 1.9418 (1.9192)	Prec@1 52.500 (50.217)	Prec@5 81.000 (79.993)
Epoch: [60][360/9018]	Time 0.620 (0.629)	Data 0.001 (0.008)	Loss 1.7837 (1.9163)	Prec@1 54.000 (50.294)	Prec@5 80.500 (80.044)
Epoch: [60][370/9018]	Time 0.614 (0.628)	Data 0.001 (0.008)	Loss 2.0965 (1.9141)	Prec@1 43.000 (50.337)	Prec@5 77.000 (80.073)
Epoch: [60][380/9018]	Time 0.644 (0.629)	Data 0.001 (0.008)	Loss 2.0180 (1.9136)	Prec@1 49.000 (50.353)	Prec@5 77.500 (80.077)
Epoch: [60][390/9018]	Time 0.595 (0.628)	Data 0.001 (0.008)	Loss 1.8213 (1.9129)	Prec@1 53.000 (50.349)	Prec@5 82.000 (80.095)
Epoch: [60][400/9018]	Time 0.609 (0.628)	Data 0.001 (0.008)	Loss 1.9940 (1.9134)	Prec@1 44.500 (50.319)	Prec@5 78.000 (80.106)
Epoch: [60][410/9018]	Time 0.597 (0.628)	Data 0.001 (0.008)	Loss 1.8523 (1.9135)	Prec@1 46.000 (50.300)	Prec@5 81.500 (80.101)
Epoch: [60][420/9018]	Time 0.617 (0.628)	Data 0.001 (0.008)	Loss 1.9680 (1.9132)	Prec@1 51.000 (50.300)	Prec@5 76.500 (80.105)
Epoch: [60][430/9018]	Time 0.590 (0.628)	Data 0.001 (0.007)	Loss 1.8442 (1.9124)	Prec@1 46.500 (50.307)	Prec@5 80.500 (80.123)
Epoch: [60][440/9018]	Time 0.600 (0.628)	Data 0.016 (0.007)	Loss 2.1696 (1.9118)	Prec@1 44.500 (50.285)	Prec@5 77.500 (80.141)
Epoch: [60][450/9018]	Time 0.610 (0.628)	Data 0.001 (0.007)	Loss 2.0727 (1.9110)	Prec@1 52.500 (50.327)	Prec@5 74.500 (80.140)
Epoch: [60][460/9018]	Time 0.602 (0.628)	Data 0.001 (0.007)	Loss 2.1143 (1.9123)	Prec@1 46.500 (50.320)	Prec@5 79.500 (80.125)
Epoch: [60][470/9018]	Time 0.599 (0.628)	Data 0.001 (0.007)	Loss 1.9847 (1.9118)	Prec@1 46.000 (50.311)	Prec@5 77.000 (80.125)
Epoch: [60][480/9018]	Time 0.616 (0.627)	Data 0.011 (0.007)	Loss 2.0513 (1.9111)	Prec@1 50.500 (50.353)	Prec@5 75.000 (80.116)
Epoch: [60][490/9018]	Time 0.596 (0.627)	Data 0.001 (0.007)	Loss 2.0740 (1.9119)	Prec@1 51.000 (50.342)	Prec@5 78.000 (80.106)
Epoch: [60][500/9018]	Time 0.594 (0.627)	Data 0.001 (0.007)	Loss 1.9028 (1.9114)	Prec@1 49.500 (50.357)	Prec@5 80.000 (80.114)
Epoch: [60][510/9018]	Time 0.623 (0.627)	Data 0.001 (0.007)	Loss 1.7597 (1.9117)	Prec@1 51.500 (50.341)	Prec@5 86.000 (80.112)
Epoch: [60][520/9018]	Time 0.620 (0.627)	Data 0.014 (0.007)	Loss 1.8038 (1.9117)	Prec@1 54.500 (50.344)	Prec@5 84.000 (80.122)
Epoch: [60][530/9018]	Time 0.652 (0.627)	Data 0.001 (0.006)	Loss 1.8530 (1.9123)	Prec@1 55.000 (50.340)	Prec@5 81.000 (80.114)
Epoch: [60][540/9018]	Time 0.641 (0.627)	Data 0.001 (0.006)	Loss 2.1347 (1.9129)	Prec@1 44.500 (50.333)	Prec@5 76.500 (80.105)
Epoch: [60][550/9018]	Time 0.594 (0.627)	Data 0.001 (0.006)	Loss 1.8213 (1.9110)	Prec@1 49.500 (50.366)	Prec@5 83.000 (80.128)
Epoch: [60][560/9018]	Time 0.651 (0.627)	Data 0.001 (0.006)	Loss 1.7970 (1.9111)	Prec@1 48.000 (50.358)	Prec@5 79.500 (80.124)
Epoch: [60][570/9018]	Time 0.605 (0.627)	Data 0.001 (0.006)	Loss 2.2497 (1.9111)	Prec@1 42.000 (50.345)	Prec@5 75.000 (80.116)
Epoch: [60][580/9018]	Time 0.633 (0.627)	Data 0.001 (0.006)	Loss 1.8241 (1.9109)	Prec@1 53.500 (50.366)	Prec@5 80.000 (80.119)
Epoch: [60][590/9018]	Time 0.750 (0.627)	Data 0.001 (0.006)	Loss 1.7979 (1.9098)	Prec@1 54.000 (50.387)	Prec@5 81.000 (80.133)
Epoch: [60][600/9018]	Time 0.593 (0.627)	Data 0.014 (0.006)	Loss 2.0509 (1.9093)	Prec@1 48.000 (50.400)	Prec@5 77.500 (80.141)
Epoch: [60][610/9018]	Time 0.603 (0.627)	Data 0.001 (0.006)	Loss 1.9512 (1.9082)	Prec@1 51.500 (50.408)	Prec@5 80.500 (80.168)
Epoch: [60][620/9018]	Time 0.586 (0.626)	Data 0.001 (0.006)	Loss 1.8489 (1.9080)	Prec@1 52.500 (50.419)	Prec@5 82.500 (80.169)
Epoch: [60][630/9018]	Time 0.596 (0.626)	Data 0.002 (0.006)	Loss 1.9114 (1.9082)	Prec@1 52.500 (50.416)	Prec@5 81.000 (80.174)
Epoch: [60][640/9018]	Time 0.752 (0.627)	Data 0.001 (0.006)	Loss 1.8134 (1.9064)	Prec@1 56.000 (50.448)	Prec@5 80.000 (80.217)
Epoch: [60][650/9018]	Time 0.596 (0.626)	Data 0.001 (0.006)	Loss 1.7905 (1.9051)	Prec@1 57.000 (50.490)	Prec@5 83.500 (80.235)
Epoch: [60][660/9018]	Time 0.597 (0.626)	Data 0.001 (0.006)	Loss 2.0019 (1.9058)	Prec@1 51.000 (50.470)	Prec@5 79.000 (80.212)
Epoch: [60][670/9018]	Time 0.627 (0.626)	Data 0.001 (0.005)	Loss 1.9497 (1.9061)	Prec@1 50.500 (50.471)	Prec@5 78.500 (80.220)
Epoch: [60][680/9018]	Time 0.636 (0.626)	Data 0.001 (0.005)	Loss 1.8594 (1.9054)	Prec@1 54.500 (50.482)	Prec@5 80.500 (80.236)
Epoch: [60][690/9018]	Time 0.600 (0.626)	Data 0.001 (0.005)	Loss 2.0212 (1.9045)	Prec@1 54.000 (50.525)	Prec@5 75.500 (80.247)
Epoch: [60][700/9018]	Time 0.622 (0.626)	Data 0.001 (0.005)	Loss 1.8769 (1.9032)	Prec@1 48.000 (50.558)	Prec@5 78.000 (80.260)
Epoch: [60][710/9018]	Time 0.612 (0.626)	Data 0.001 (0.005)	Loss 1.8034 (1.9036)	Prec@1 52.000 (50.565)	Prec@5 80.000 (80.246)
Epoch: [60][720/9018]	Time 0.610 (0.626)	Data 0.001 (0.005)	Loss 1.9164 (1.9027)	Prec@1 52.000 (50.592)	Prec@5 79.000 (80.267)
Epoch: [60][730/9018]	Time 0.606 (0.626)	Data 0.001 (0.005)	Loss 1.8413 (1.9021)	Prec@1 50.000 (50.590)	Prec@5 81.000 (80.269)
Epoch: [60][740/9018]	Time 0.605 (0.626)	Data 0.001 (0.005)	Loss 1.8384 (1.9018)	Prec@1 49.000 (50.591)	Prec@5 84.500 (80.285)
Epoch: [60][750/9018]	Time 0.615 (0.626)	Data 0.001 (0.005)	Loss 1.8840 (1.9022)	Prec@1 50.000 (50.591)	Prec@5 81.500 (80.274)
Epoch: [60][760/9018]	Time 0.617 (0.626)	Data 0.001 (0.005)	Loss 1.9762 (1.9030)	Prec@1 50.000 (50.557)	Prec@5 80.500 (80.269)
Epoch: [60][770/9018]	Time 0.618 (0.626)	Data 0.001 (0.005)	Loss 1.9031 (1.9022)	Prec@1 48.000 (50.570)	Prec@5 81.000 (80.288)
Epoch: [60][780/9018]	Time 0.611 (0.626)	Data 0.001 (0.005)	Loss 2.1456 (1.9015)	Prec@1 45.000 (50.573)	Prec@5 75.000 (80.298)
Epoch: [60][790/9018]	Time 0.622 (0.626)	Data 0.001 (0.005)	Loss 1.7769 (1.8999)	Prec@1 53.000 (50.599)	Prec@5 84.500 (80.336)
Epoch: [60][800/9018]	Time 0.617 (0.626)	Data 0.001 (0.005)	Loss 1.5876 (1.8992)	Prec@1 56.500 (50.616)	Prec@5 86.500 (80.353)
Epoch: [60][810/9018]	Time 0.604 (0.626)	Data 0.001 (0.005)	Loss 1.7564 (1.8978)	Prec@1 55.000 (50.629)	Prec@5 83.000 (80.387)
Epoch: [60][820/9018]	Time 0.619 (0.625)	Data 0.001 (0.005)	Loss 1.8700 (1.8973)	Prec@1 46.500 (50.642)	Prec@5 77.000 (80.387)
Epoch: [60][830/9018]	Time 0.594 (0.626)	Data 0.001 (0.005)	Loss 1.7842 (1.8964)	Prec@1 52.500 (50.649)	Prec@5 80.000 (80.404)
Epoch: [60][840/9018]	Time 0.603 (0.626)	Data 0.001 (0.005)	Loss 2.0631 (1.8964)	Prec@1 44.000 (50.631)	Prec@5 76.500 (80.403)
Epoch: [60][850/9018]	Time 0.606 (0.625)	Data 0.001 (0.005)	Loss 1.7591 (1.8960)	Prec@1 52.000 (50.640)	Prec@5 83.000 (80.425)
Epoch: [60][860/9018]	Time 0.600 (0.625)	Data 0.001 (0.005)	Loss 1.6990 (1.8952)	Prec@1 55.500 (50.657)	Prec@5 85.000 (80.445)
Epoch: [60][870/9018]	Time 0.774 (0.625)	Data 0.001 (0.005)	Loss 1.9023 (1.8944)	Prec@1 49.500 (50.679)	Prec@5 79.500 (80.459)
Epoch: [60][880/9018]	Time 0.628 (0.625)	Data 0.001 (0.005)	Loss 1.9279 (1.8936)	Prec@1 52.000 (50.692)	Prec@5 78.000 (80.465)
Epoch: [60][890/9018]	Time 0.610 (0.625)	Data 0.001 (0.005)	Loss 1.7929 (1.8939)	Prec@1 56.000 (50.694)	Prec@5 78.500 (80.448)
Epoch: [60][900/9018]	Time 0.605 (0.625)	Data 0.001 (0.005)	Loss 1.7838 (1.8937)	Prec@1 49.500 (50.703)	Prec@5 81.000 (80.452)
Epoch: [60][910/9018]	Time 0.634 (0.625)	Data 0.001 (0.005)	Loss 2.1445 (1.8943)	Prec@1 44.500 (50.682)	Prec@5 78.000 (80.446)
Epoch: [60][920/9018]	Time 0.706 (0.625)	Data 0.001 (0.005)	Loss 2.0420 (1.8945)	Prec@1 47.000 (50.671)	Prec@5 80.500 (80.446)
Epoch: [60][930/9018]	Time 0.616 (0.625)	Data 0.001 (0.005)	Loss 1.6996 (1.8946)	Prec@1 54.000 (50.657)	Prec@5 83.000 (80.442)
Epoch: [60][940/9018]	Time 0.629 (0.625)	Data 0.013 (0.005)	Loss 1.9157 (1.8946)	Prec@1 51.000 (50.663)	Prec@5 82.500 (80.451)
Epoch: [60][950/9018]	Time 0.638 (0.625)	Data 0.001 (0.005)	Loss 1.7463 (1.8944)	Prec@1 54.000 (50.662)	Prec@5 80.500 (80.446)
Epoch: [60][960/9018]	Time 0.597 (0.625)	Data 0.001 (0.005)	Loss 1.7928 (1.8939)	Prec@1 55.000 (50.663)	Prec@5 85.000 (80.460)
Epoch: [60][970/9018]	Time 0.626 (0.625)	Data 0.001 (0.005)	Loss 1.8302 (1.8932)	Prec@1 49.500 (50.681)	Prec@5 84.500 (80.482)
Epoch: [60][980/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.8985 (1.8929)	Prec@1 53.000 (50.682)	Prec@5 81.000 (80.490)
Epoch: [60][990/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.7862 (1.8928)	Prec@1 53.000 (50.696)	Prec@5 83.000 (80.491)
Epoch: [60][1000/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.7566 (1.8925)	Prec@1 58.000 (50.713)	Prec@5 80.500 (80.491)
Epoch: [60][1010/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.8720 (1.8925)	Prec@1 49.000 (50.709)	Prec@5 81.000 (80.491)
Epoch: [60][1020/9018]	Time 0.632 (0.625)	Data 0.014 (0.004)	Loss 1.8576 (1.8921)	Prec@1 51.000 (50.719)	Prec@5 79.500 (80.495)
Epoch: [60][1030/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.7349 (1.8923)	Prec@1 51.500 (50.723)	Prec@5 85.000 (80.484)
Epoch: [60][1040/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.6370 (1.8923)	Prec@1 52.000 (50.726)	Prec@5 85.000 (80.480)
Epoch: [60][1050/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.8158 (1.8919)	Prec@1 51.500 (50.718)	Prec@5 78.500 (80.473)
Epoch: [60][1060/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.7394 (1.8915)	Prec@1 55.000 (50.733)	Prec@5 84.000 (80.481)
Epoch: [60][1070/9018]	Time 0.649 (0.625)	Data 0.001 (0.004)	Loss 2.1727 (1.8913)	Prec@1 46.500 (50.742)	Prec@5 76.500 (80.485)
Epoch: [60][1080/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.7650 (1.8909)	Prec@1 54.500 (50.756)	Prec@5 79.500 (80.486)
Epoch: [60][1090/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.8826 (1.8905)	Prec@1 52.000 (50.771)	Prec@5 80.000 (80.494)
Epoch: [60][1100/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.8017 (1.8908)	Prec@1 52.500 (50.762)	Prec@5 82.500 (80.485)
Epoch: [60][1110/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.8666 (1.8905)	Prec@1 53.000 (50.770)	Prec@5 82.000 (80.488)
Epoch: [60][1120/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.6316 (1.8901)	Prec@1 54.500 (50.771)	Prec@5 86.500 (80.494)
Epoch: [60][1130/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.8752 (1.8898)	Prec@1 48.000 (50.777)	Prec@5 82.000 (80.499)
Epoch: [60][1140/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.9443 (1.8900)	Prec@1 48.000 (50.767)	Prec@5 80.000 (80.496)
Epoch: [60][1150/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.8061 (1.8900)	Prec@1 49.000 (50.764)	Prec@5 84.500 (80.504)
Epoch: [60][1160/9018]	Time 0.632 (0.625)	Data 0.015 (0.004)	Loss 1.5907 (1.8896)	Prec@1 58.000 (50.782)	Prec@5 86.500 (80.511)
Epoch: [60][1170/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 2.0922 (1.8900)	Prec@1 44.000 (50.765)	Prec@5 77.500 (80.497)
Epoch: [60][1180/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.8320 (1.8890)	Prec@1 49.000 (50.787)	Prec@5 82.500 (80.517)
Epoch: [60][1190/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.9999 (1.8891)	Prec@1 46.500 (50.780)	Prec@5 80.000 (80.521)
Epoch: [60][1200/9018]	Time 0.766 (0.625)	Data 0.007 (0.004)	Loss 1.7393 (1.8886)	Prec@1 54.500 (50.785)	Prec@5 84.500 (80.529)
Epoch: [60][1210/9018]	Time 0.643 (0.625)	Data 0.001 (0.004)	Loss 1.7931 (1.8882)	Prec@1 50.000 (50.791)	Prec@5 80.500 (80.536)
Epoch: [60][1220/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.8374 (1.8877)	Prec@1 59.000 (50.805)	Prec@5 79.500 (80.541)
Epoch: [60][1230/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.7890 (1.8876)	Prec@1 51.500 (50.795)	Prec@5 79.500 (80.545)
Epoch: [60][1240/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.6474 (1.8872)	Prec@1 58.000 (50.804)	Prec@5 85.500 (80.556)
Epoch: [60][1250/9018]	Time 0.741 (0.625)	Data 0.001 (0.004)	Loss 1.9796 (1.8870)	Prec@1 48.500 (50.804)	Prec@5 82.500 (80.561)
Epoch: [60][1260/9018]	Time 0.607 (0.625)	Data 0.013 (0.004)	Loss 1.7756 (1.8866)	Prec@1 52.500 (50.812)	Prec@5 80.000 (80.569)
Epoch: [60][1270/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.9557 (1.8865)	Prec@1 49.500 (50.811)	Prec@5 78.500 (80.567)
Epoch: [60][1280/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.8609 (1.8863)	Prec@1 51.500 (50.824)	Prec@5 81.500 (80.571)
Epoch: [60][1290/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.8432 (1.8862)	Prec@1 50.500 (50.817)	Prec@5 80.000 (80.575)
Epoch: [60][1300/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.8640 (1.8860)	Prec@1 49.500 (50.821)	Prec@5 82.000 (80.575)
Epoch: [60][1310/9018]	Time 0.637 (0.625)	Data 0.001 (0.004)	Loss 1.9475 (1.8863)	Prec@1 48.000 (50.816)	Prec@5 80.500 (80.573)
Epoch: [60][1320/9018]	Time 0.614 (0.625)	Data 0.006 (0.004)	Loss 1.9340 (1.8866)	Prec@1 45.500 (50.809)	Prec@5 81.000 (80.573)
Epoch: [60][1330/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.9271 (1.8865)	Prec@1 46.000 (50.813)	Prec@5 81.000 (80.573)
Epoch: [60][1340/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.9780 (1.8861)	Prec@1 47.000 (50.817)	Prec@5 79.500 (80.579)
Epoch: [60][1350/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.9691 (1.8866)	Prec@1 52.000 (50.808)	Prec@5 78.000 (80.577)
Epoch: [60][1360/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.8488 (1.8859)	Prec@1 47.000 (50.817)	Prec@5 80.500 (80.587)
Epoch: [60][1370/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.8566 (1.8856)	Prec@1 52.500 (50.822)	Prec@5 83.000 (80.596)
Epoch: [60][1380/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.9243 (1.8854)	Prec@1 48.000 (50.826)	Prec@5 76.000 (80.588)
Epoch: [60][1390/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.8771 (1.8853)	Prec@1 48.000 (50.816)	Prec@5 77.500 (80.588)
Epoch: [60][1400/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 2.0700 (1.8851)	Prec@1 47.500 (50.817)	Prec@5 76.000 (80.591)
Epoch: [60][1410/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.9785 (1.8850)	Prec@1 51.500 (50.816)	Prec@5 78.000 (80.587)
Epoch: [60][1420/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.9773 (1.8846)	Prec@1 51.500 (50.839)	Prec@5 78.500 (80.592)
Epoch: [60][1430/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.9441 (1.8840)	Prec@1 50.500 (50.841)	Prec@5 78.000 (80.599)
Epoch: [60][1440/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8212 (1.8842)	Prec@1 53.000 (50.830)	Prec@5 79.000 (80.595)
Epoch: [60][1450/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.8763 (1.8838)	Prec@1 52.000 (50.836)	Prec@5 79.500 (80.601)
Epoch: [60][1460/9018]	Time 0.613 (0.625)	Data 0.016 (0.004)	Loss 2.0617 (1.8834)	Prec@1 47.000 (50.842)	Prec@5 74.000 (80.605)
Epoch: [60][1470/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.7672 (1.8830)	Prec@1 56.000 (50.846)	Prec@5 82.500 (80.617)
Epoch: [60][1480/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.8552 (1.8826)	Prec@1 52.500 (50.857)	Prec@5 82.500 (80.627)
Epoch: [60][1490/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.6967 (1.8821)	Prec@1 57.500 (50.874)	Prec@5 83.500 (80.634)
Epoch: [60][1500/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.7324 (1.8817)	Prec@1 52.500 (50.874)	Prec@5 81.500 (80.640)
Epoch: [60][1510/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.7254 (1.8816)	Prec@1 59.500 (50.877)	Prec@5 80.500 (80.636)
Epoch: [60][1520/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.9574 (1.8813)	Prec@1 47.500 (50.888)	Prec@5 77.000 (80.637)
Epoch: [60][1530/9018]	Time 0.749 (0.625)	Data 0.001 (0.004)	Loss 1.8657 (1.8814)	Prec@1 47.000 (50.882)	Prec@5 82.000 (80.639)
Epoch: [60][1540/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.6945 (1.8813)	Prec@1 54.500 (50.881)	Prec@5 82.500 (80.642)
Epoch: [60][1550/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6239 (1.8810)	Prec@1 54.000 (50.882)	Prec@5 85.500 (80.648)
Epoch: [60][1560/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.6850 (1.8809)	Prec@1 55.500 (50.879)	Prec@5 82.000 (80.651)
Epoch: [60][1570/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.9087 (1.8810)	Prec@1 49.500 (50.883)	Prec@5 82.000 (80.653)
Epoch: [60][1580/9018]	Time 0.770 (0.625)	Data 0.015 (0.004)	Loss 1.7886 (1.8802)	Prec@1 56.000 (50.898)	Prec@5 83.500 (80.671)
Epoch: [60][1590/9018]	Time 0.651 (0.625)	Data 0.001 (0.004)	Loss 1.7574 (1.8799)	Prec@1 53.500 (50.894)	Prec@5 82.500 (80.676)
Epoch: [60][1600/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 2.0804 (1.8796)	Prec@1 49.500 (50.904)	Prec@5 76.000 (80.682)
Epoch: [60][1610/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.9791 (1.8789)	Prec@1 50.000 (50.919)	Prec@5 78.500 (80.692)
Epoch: [60][1620/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.9990 (1.8790)	Prec@1 48.500 (50.916)	Prec@5 80.500 (80.693)
Epoch: [60][1630/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.9119 (1.8787)	Prec@1 54.000 (50.926)	Prec@5 80.000 (80.700)
Epoch: [60][1640/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.7967 (1.8787)	Prec@1 53.500 (50.923)	Prec@5 81.000 (80.697)
Epoch: [60][1650/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 2.0242 (1.8790)	Prec@1 50.000 (50.914)	Prec@5 78.500 (80.693)
Epoch: [60][1660/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.9185 (1.8790)	Prec@1 49.500 (50.908)	Prec@5 80.500 (80.688)
Epoch: [60][1670/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.8999 (1.8787)	Prec@1 53.000 (50.923)	Prec@5 83.500 (80.696)
Epoch: [60][1680/9018]	Time 0.647 (0.625)	Data 0.001 (0.004)	Loss 2.0147 (1.8790)	Prec@1 49.500 (50.918)	Prec@5 81.000 (80.698)
Epoch: [60][1690/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.8058 (1.8787)	Prec@1 51.500 (50.916)	Prec@5 83.500 (80.705)
Epoch: [60][1700/9018]	Time 0.603 (0.625)	Data 0.008 (0.004)	Loss 1.8233 (1.8788)	Prec@1 49.000 (50.913)	Prec@5 82.500 (80.706)
Epoch: [60][1710/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.9125 (1.8783)	Prec@1 50.000 (50.920)	Prec@5 80.500 (80.716)
Epoch: [60][1720/9018]	Time 0.616 (0.625)	Data 0.007 (0.004)	Loss 1.9211 (1.8784)	Prec@1 55.000 (50.921)	Prec@5 82.000 (80.713)
Epoch: [60][1730/9018]	Time 0.640 (0.625)	Data 0.001 (0.004)	Loss 1.8714 (1.8782)	Prec@1 54.000 (50.926)	Prec@5 82.000 (80.715)
Epoch: [60][1740/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7248 (1.8779)	Prec@1 52.000 (50.928)	Prec@5 83.000 (80.724)
Epoch: [60][1750/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.7676 (1.8779)	Prec@1 57.000 (50.933)	Prec@5 81.500 (80.723)
Epoch: [60][1760/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.1545 (1.8779)	Prec@1 50.500 (50.931)	Prec@5 73.500 (80.721)
Epoch: [60][1770/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.7721 (1.8776)	Prec@1 53.000 (50.942)	Prec@5 85.500 (80.726)
Epoch: [60][1780/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.8703 (1.8777)	Prec@1 50.500 (50.937)	Prec@5 80.000 (80.721)
Epoch: [60][1790/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 2.0758 (1.8773)	Prec@1 43.000 (50.949)	Prec@5 79.000 (80.730)
Epoch: [60][1800/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.8076 (1.8772)	Prec@1 55.500 (50.950)	Prec@5 79.000 (80.727)
Epoch: [60][1810/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 2.0898 (1.8773)	Prec@1 45.500 (50.946)	Prec@5 77.500 (80.723)
Epoch: [60][1820/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.6999 (1.8769)	Prec@1 49.000 (50.949)	Prec@5 85.000 (80.727)
Epoch: [60][1830/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.7158 (1.8767)	Prec@1 55.500 (50.949)	Prec@5 84.000 (80.729)
Epoch: [60][1840/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9210 (1.8765)	Prec@1 51.500 (50.946)	Prec@5 80.000 (80.729)
Epoch: [60][1850/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.8026 (1.8764)	Prec@1 51.000 (50.947)	Prec@5 82.000 (80.731)
Epoch: [60][1860/9018]	Time 0.773 (0.625)	Data 0.001 (0.003)	Loss 1.8391 (1.8763)	Prec@1 47.500 (50.946)	Prec@5 81.000 (80.733)
Epoch: [60][1870/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.8315 (1.8762)	Prec@1 54.000 (50.950)	Prec@5 80.500 (80.736)
Epoch: [60][1880/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.7458 (1.8762)	Prec@1 55.000 (50.955)	Prec@5 84.000 (80.728)
Epoch: [60][1890/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.9297 (1.8763)	Prec@1 49.000 (50.955)	Prec@5 80.500 (80.730)
Epoch: [60][1900/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0087 (1.8762)	Prec@1 44.500 (50.947)	Prec@5 78.000 (80.729)
Epoch: [60][1910/9018]	Time 0.774 (0.625)	Data 0.001 (0.003)	Loss 1.8670 (1.8761)	Prec@1 48.500 (50.947)	Prec@5 81.000 (80.730)
Epoch: [60][1920/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.6846 (1.8760)	Prec@1 58.000 (50.953)	Prec@5 83.500 (80.727)
Epoch: [60][1930/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.9644 (1.8756)	Prec@1 49.000 (50.966)	Prec@5 82.500 (80.729)
Epoch: [60][1940/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 2.0278 (1.8753)	Prec@1 47.000 (50.974)	Prec@5 77.500 (80.734)
Epoch: [60][1950/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.9172 (1.8755)	Prec@1 48.000 (50.969)	Prec@5 80.500 (80.730)
Epoch: [60][1960/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.9251 (1.8754)	Prec@1 48.500 (50.970)	Prec@5 82.000 (80.740)
Epoch: [60][1970/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.8342 (1.8750)	Prec@1 50.500 (50.980)	Prec@5 83.500 (80.745)
Epoch: [60][1980/9018]	Time 0.600 (0.625)	Data 0.008 (0.003)	Loss 1.8214 (1.8748)	Prec@1 52.500 (50.987)	Prec@5 81.500 (80.751)
Epoch: [60][1990/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8378 (1.8748)	Prec@1 52.000 (50.991)	Prec@5 79.500 (80.749)
Epoch: [60][2000/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.7694 (1.8748)	Prec@1 53.500 (50.991)	Prec@5 83.000 (80.754)
Epoch: [60][2010/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.8173 (1.8750)	Prec@1 50.500 (50.984)	Prec@5 82.500 (80.753)
Epoch: [60][2020/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.9362 (1.8749)	Prec@1 49.000 (50.985)	Prec@5 80.500 (80.759)
Epoch: [60][2030/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.1040 (1.8748)	Prec@1 46.500 (50.991)	Prec@5 76.500 (80.762)
Epoch: [60][2040/9018]	Time 0.642 (0.625)	Data 0.017 (0.003)	Loss 1.7476 (1.8746)	Prec@1 55.000 (50.992)	Prec@5 81.000 (80.764)
Epoch: [60][2050/9018]	Time 0.644 (0.625)	Data 0.011 (0.003)	Loss 1.6951 (1.8742)	Prec@1 53.500 (51.002)	Prec@5 82.500 (80.770)
Epoch: [60][2060/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.0964 (1.8741)	Prec@1 46.000 (51.005)	Prec@5 75.000 (80.766)
Epoch: [60][2070/9018]	Time 0.622 (0.625)	Data 0.016 (0.003)	Loss 1.9647 (1.8741)	Prec@1 49.500 (51.007)	Prec@5 79.000 (80.770)
Epoch: [60][2080/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.8358 (1.8738)	Prec@1 54.500 (51.010)	Prec@5 80.000 (80.777)
Epoch: [60][2090/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.6226 (1.8736)	Prec@1 54.500 (51.011)	Prec@5 85.500 (80.782)
Epoch: [60][2100/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.8858 (1.8736)	Prec@1 50.500 (51.019)	Prec@5 81.000 (80.779)
Epoch: [60][2110/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.7691 (1.8734)	Prec@1 53.500 (51.017)	Prec@5 80.500 (80.785)
Epoch: [60][2120/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.6918 (1.8732)	Prec@1 55.000 (51.020)	Prec@5 81.500 (80.785)
Epoch: [60][2130/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.8044 (1.8730)	Prec@1 50.500 (51.023)	Prec@5 81.500 (80.793)
Epoch: [60][2140/9018]	Time 0.670 (0.625)	Data 0.001 (0.003)	Loss 1.8364 (1.8729)	Prec@1 54.000 (51.020)	Prec@5 82.500 (80.796)
Epoch: [60][2150/9018]	Time 0.615 (0.625)	Data 0.004 (0.003)	Loss 1.5988 (1.8727)	Prec@1 58.000 (51.022)	Prec@5 85.000 (80.801)
Epoch: [60][2160/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.5825 (1.8725)	Prec@1 56.500 (51.028)	Prec@5 87.000 (80.806)
Epoch: [60][2170/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.8743 (1.8723)	Prec@1 53.500 (51.032)	Prec@5 80.000 (80.807)
Epoch: [60][2180/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 1.7559 (1.8721)	Prec@1 52.500 (51.036)	Prec@5 81.500 (80.807)
Epoch: [60][2190/9018]	Time 0.802 (0.625)	Data 0.001 (0.003)	Loss 2.1205 (1.8722)	Prec@1 43.000 (51.030)	Prec@5 74.000 (80.805)
Epoch: [60][2200/9018]	Time 0.636 (0.625)	Data 0.014 (0.003)	Loss 1.8945 (1.8722)	Prec@1 49.500 (51.030)	Prec@5 81.500 (80.807)
Epoch: [60][2210/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.8197 (1.8718)	Prec@1 54.000 (51.038)	Prec@5 80.000 (80.811)
Epoch: [60][2220/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 2.0357 (1.8717)	Prec@1 44.500 (51.038)	Prec@5 77.000 (80.817)
Epoch: [60][2230/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.8345 (1.8714)	Prec@1 54.000 (51.041)	Prec@5 80.500 (80.826)
Epoch: [60][2240/9018]	Time 0.721 (0.625)	Data 0.001 (0.003)	Loss 2.0305 (1.8718)	Prec@1 41.500 (51.031)	Prec@5 81.500 (80.821)
Epoch: [60][2250/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.8279 (1.8718)	Prec@1 52.500 (51.031)	Prec@5 81.500 (80.820)
Epoch: [60][2260/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 1.7016 (1.8716)	Prec@1 55.500 (51.032)	Prec@5 85.500 (80.822)
Epoch: [60][2270/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.8785 (1.8717)	Prec@1 50.000 (51.035)	Prec@5 80.000 (80.819)
Epoch: [60][2280/9018]	Time 0.621 (0.625)	Data 0.011 (0.003)	Loss 1.7634 (1.8715)	Prec@1 54.500 (51.044)	Prec@5 82.500 (80.822)
Epoch: [60][2290/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.6990 (1.8714)	Prec@1 52.500 (51.043)	Prec@5 82.500 (80.819)
Epoch: [60][2300/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.8905 (1.8714)	Prec@1 51.000 (51.051)	Prec@5 80.000 (80.822)
Epoch: [60][2310/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 2.0603 (1.8717)	Prec@1 48.000 (51.043)	Prec@5 75.500 (80.816)
Epoch: [60][2320/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.7489 (1.8712)	Prec@1 57.500 (51.050)	Prec@5 80.000 (80.824)
Epoch: [60][2330/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 1.7216 (1.8711)	Prec@1 49.000 (51.051)	Prec@5 84.000 (80.822)
Epoch: [60][2340/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.7319 (1.8711)	Prec@1 56.500 (51.054)	Prec@5 83.500 (80.821)
Epoch: [60][2350/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.6151 (1.8706)	Prec@1 59.500 (51.068)	Prec@5 85.000 (80.832)
Epoch: [60][2360/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.8523 (1.8706)	Prec@1 51.000 (51.071)	Prec@5 83.000 (80.832)
Epoch: [60][2370/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.6423 (1.8704)	Prec@1 57.500 (51.072)	Prec@5 85.500 (80.839)
Epoch: [60][2380/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.7041 (1.8702)	Prec@1 56.000 (51.068)	Prec@5 83.000 (80.842)
Epoch: [60][2390/9018]	Time 0.604 (0.625)	Data 0.002 (0.003)	Loss 1.8419 (1.8698)	Prec@1 52.500 (51.079)	Prec@5 81.500 (80.848)
Epoch: [60][2400/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.9556 (1.8697)	Prec@1 49.500 (51.081)	Prec@5 76.500 (80.846)
Epoch: [60][2410/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8207 (1.8696)	Prec@1 57.000 (51.082)	Prec@5 82.000 (80.846)
Epoch: [60][2420/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 2.0700 (1.8697)	Prec@1 47.500 (51.079)	Prec@5 79.500 (80.848)
Epoch: [60][2430/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.7576 (1.8699)	Prec@1 53.000 (51.079)	Prec@5 84.500 (80.844)
Epoch: [60][2440/9018]	Time 0.642 (0.625)	Data 0.017 (0.003)	Loss 1.5549 (1.8696)	Prec@1 59.500 (51.086)	Prec@5 88.000 (80.847)
Epoch: [60][2450/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.9314 (1.8694)	Prec@1 51.000 (51.090)	Prec@5 79.000 (80.849)
Epoch: [60][2460/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.9205 (1.8693)	Prec@1 48.500 (51.094)	Prec@5 79.500 (80.853)
Epoch: [60][2470/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8956 (1.8691)	Prec@1 50.500 (51.100)	Prec@5 80.000 (80.856)
Epoch: [60][2480/9018]	Time 0.624 (0.625)	Data 0.014 (0.003)	Loss 1.7217 (1.8688)	Prec@1 53.000 (51.102)	Prec@5 80.000 (80.861)
Epoch: [60][2490/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.6911 (1.8686)	Prec@1 57.500 (51.109)	Prec@5 83.000 (80.863)
Epoch: [60][2500/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.7625 (1.8685)	Prec@1 54.000 (51.113)	Prec@5 83.000 (80.864)
Epoch: [60][2510/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.8710 (1.8685)	Prec@1 52.000 (51.117)	Prec@5 80.000 (80.863)
Epoch: [60][2520/9018]	Time 0.720 (0.625)	Data 0.001 (0.003)	Loss 1.6948 (1.8683)	Prec@1 55.000 (51.120)	Prec@5 84.000 (80.865)
Epoch: [60][2530/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.9634 (1.8681)	Prec@1 49.500 (51.128)	Prec@5 78.500 (80.869)
Epoch: [60][2540/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.6230 (1.8678)	Prec@1 52.500 (51.130)	Prec@5 85.000 (80.873)
Epoch: [60][2550/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.8401 (1.8679)	Prec@1 54.000 (51.128)	Prec@5 81.000 (80.873)
Epoch: [60][2560/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.7040 (1.8675)	Prec@1 52.000 (51.130)	Prec@5 79.500 (80.875)
Epoch: [60][2570/9018]	Time 0.764 (0.625)	Data 0.013 (0.003)	Loss 1.7201 (1.8676)	Prec@1 54.000 (51.127)	Prec@5 83.000 (80.873)
Epoch: [60][2580/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.9210 (1.8679)	Prec@1 49.500 (51.124)	Prec@5 78.500 (80.869)
Epoch: [60][2590/9018]	Time 0.634 (0.625)	Data 0.004 (0.003)	Loss 1.6838 (1.8679)	Prec@1 59.000 (51.124)	Prec@5 82.500 (80.869)
Epoch: [60][2600/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.7148 (1.8678)	Prec@1 58.500 (51.127)	Prec@5 82.500 (80.874)
Epoch: [60][2610/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8140 (1.8675)	Prec@1 56.000 (51.132)	Prec@5 82.000 (80.880)
Epoch: [60][2620/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.8232 (1.8672)	Prec@1 48.000 (51.139)	Prec@5 83.500 (80.887)
Epoch: [60][2630/9018]	Time 0.628 (0.625)	Data 0.014 (0.003)	Loss 1.6276 (1.8670)	Prec@1 59.500 (51.144)	Prec@5 83.000 (80.888)
Epoch: [60][2640/9018]	Time 0.622 (0.625)	Data 0.016 (0.003)	Loss 1.7414 (1.8668)	Prec@1 54.000 (51.150)	Prec@5 85.000 (80.892)
Epoch: [60][2650/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.7043 (1.8671)	Prec@1 55.000 (51.142)	Prec@5 85.500 (80.885)
Epoch: [60][2660/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 2.0539 (1.8672)	Prec@1 50.500 (51.140)	Prec@5 75.500 (80.883)
Epoch: [60][2670/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.7731 (1.8672)	Prec@1 50.000 (51.141)	Prec@5 83.500 (80.886)
Epoch: [60][2680/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.7166 (1.8668)	Prec@1 57.500 (51.147)	Prec@5 81.500 (80.891)
Epoch: [60][2690/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.7883 (1.8668)	Prec@1 50.000 (51.146)	Prec@5 82.000 (80.890)
Epoch: [60][2700/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 2.2508 (1.8668)	Prec@1 42.000 (51.147)	Prec@5 74.500 (80.890)
Epoch: [60][2710/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.7292 (1.8667)	Prec@1 50.000 (51.150)	Prec@5 84.500 (80.895)
Epoch: [60][2720/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.8388 (1.8668)	Prec@1 53.000 (51.147)	Prec@5 82.500 (80.893)
Epoch: [60][2730/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.7985 (1.8668)	Prec@1 52.500 (51.147)	Prec@5 83.000 (80.896)
Epoch: [60][2740/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 1.8579 (1.8666)	Prec@1 50.500 (51.150)	Prec@5 80.000 (80.901)
Epoch: [60][2750/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.9291 (1.8667)	Prec@1 49.000 (51.145)	Prec@5 79.000 (80.899)
Epoch: [60][2760/9018]	Time 0.615 (0.625)	Data 0.007 (0.003)	Loss 1.6332 (1.8663)	Prec@1 56.500 (51.154)	Prec@5 85.500 (80.906)
Epoch: [60][2770/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.8478 (1.8662)	Prec@1 48.500 (51.157)	Prec@5 81.500 (80.909)
Epoch: [60][2780/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.7805 (1.8658)	Prec@1 52.000 (51.168)	Prec@5 84.500 (80.918)
Epoch: [60][2790/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.8257 (1.8658)	Prec@1 49.500 (51.165)	Prec@5 78.500 (80.913)
Epoch: [60][2800/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.9088 (1.8659)	Prec@1 49.000 (51.163)	Prec@5 82.500 (80.912)
Epoch: [60][2810/9018]	Time 0.611 (0.625)	Data 0.008 (0.003)	Loss 1.6822 (1.8658)	Prec@1 57.500 (51.166)	Prec@5 85.000 (80.918)
Epoch: [60][2820/9018]	Time 0.631 (0.625)	Data 0.011 (0.003)	Loss 1.9514 (1.8660)	Prec@1 51.000 (51.161)	Prec@5 81.500 (80.912)
Epoch: [60][2830/9018]	Time 0.649 (0.625)	Data 0.001 (0.003)	Loss 1.8913 (1.8661)	Prec@1 49.500 (51.164)	Prec@5 81.500 (80.909)
Epoch: [60][2840/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.8780 (1.8660)	Prec@1 54.500 (51.165)	Prec@5 78.500 (80.910)
Epoch: [60][2850/9018]	Time 0.730 (0.625)	Data 0.001 (0.003)	Loss 1.7374 (1.8659)	Prec@1 50.000 (51.166)	Prec@5 83.500 (80.912)
Epoch: [60][2860/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.9279 (1.8659)	Prec@1 51.500 (51.167)	Prec@5 78.500 (80.915)
Epoch: [60][2870/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.8668 (1.8659)	Prec@1 50.500 (51.160)	Prec@5 79.500 (80.916)
Epoch: [60][2880/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.8239 (1.8657)	Prec@1 48.500 (51.162)	Prec@5 82.000 (80.920)
Epoch: [60][2890/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.8258 (1.8658)	Prec@1 51.000 (51.160)	Prec@5 82.500 (80.920)
Epoch: [60][2900/9018]	Time 0.793 (0.625)	Data 0.001 (0.003)	Loss 1.7374 (1.8655)	Prec@1 56.500 (51.167)	Prec@5 83.000 (80.923)
Epoch: [60][2910/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.7461 (1.8655)	Prec@1 54.000 (51.168)	Prec@5 83.000 (80.924)
Epoch: [60][2920/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.8177 (1.8654)	Prec@1 53.500 (51.168)	Prec@5 82.000 (80.928)
Epoch: [60][2930/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.7962 (1.8651)	Prec@1 56.500 (51.173)	Prec@5 78.500 (80.929)
Epoch: [60][2940/9018]	Time 0.644 (0.625)	Data 0.001 (0.003)	Loss 1.7840 (1.8649)	Prec@1 51.500 (51.176)	Prec@5 81.000 (80.931)
Epoch: [60][2950/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.7578 (1.8647)	Prec@1 54.000 (51.182)	Prec@5 81.000 (80.936)
Epoch: [60][2960/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 1.8287 (1.8646)	Prec@1 51.000 (51.182)	Prec@5 83.500 (80.938)
Epoch: [60][2970/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.8471 (1.8647)	Prec@1 52.500 (51.184)	Prec@5 81.500 (80.937)
Epoch: [60][2980/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8119 (1.8645)	Prec@1 53.500 (51.187)	Prec@5 80.000 (80.938)
Epoch: [60][2990/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.8807 (1.8644)	Prec@1 53.000 (51.190)	Prec@5 81.000 (80.941)
Epoch: [60][3000/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.8924 (1.8643)	Prec@1 47.500 (51.195)	Prec@5 80.500 (80.941)
Epoch: [60][3010/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 1.8757 (1.8644)	Prec@1 53.500 (51.197)	Prec@5 79.000 (80.938)
Epoch: [60][3020/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.8299 (1.8643)	Prec@1 52.000 (51.200)	Prec@5 80.500 (80.940)
Epoch: [60][3030/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.8483 (1.8642)	Prec@1 55.500 (51.205)	Prec@5 79.500 (80.940)
Epoch: [60][3040/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.7112 (1.8640)	Prec@1 56.500 (51.207)	Prec@5 82.500 (80.944)
Epoch: [60][3050/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.4912 (1.8638)	Prec@1 64.500 (51.216)	Prec@5 87.000 (80.945)
Epoch: [60][3060/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.8529 (1.8635)	Prec@1 49.000 (51.223)	Prec@5 83.000 (80.949)
Epoch: [60][3070/9018]	Time 0.585 (0.625)	Data 0.001 (0.003)	Loss 1.8387 (1.8632)	Prec@1 52.000 (51.230)	Prec@5 79.500 (80.952)
Epoch: [60][3080/9018]	Time 0.615 (0.625)	Data 0.015 (0.003)	Loss 1.7933 (1.8631)	Prec@1 55.000 (51.232)	Prec@5 82.500 (80.953)
Epoch: [60][3090/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.7439 (1.8629)	Prec@1 53.000 (51.231)	Prec@5 86.000 (80.955)
Epoch: [60][3100/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.9106 (1.8629)	Prec@1 52.500 (51.230)	Prec@5 80.500 (80.956)
Epoch: [60][3110/9018]	Time 0.620 (0.625)	Data 0.013 (0.003)	Loss 1.7755 (1.8627)	Prec@1 51.500 (51.232)	Prec@5 82.000 (80.962)
Epoch: [60][3120/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.7023 (1.8627)	Prec@1 53.500 (51.236)	Prec@5 84.500 (80.961)
Epoch: [60][3130/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.7106 (1.8623)	Prec@1 51.500 (51.240)	Prec@5 80.500 (80.962)
Epoch: [60][3140/9018]	Time 0.615 (0.625)	Data 0.008 (0.003)	Loss 1.8034 (1.8622)	Prec@1 54.500 (51.241)	Prec@5 82.000 (80.966)
Epoch: [60][3150/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.7508 (1.8620)	Prec@1 55.000 (51.245)	Prec@5 81.000 (80.970)
Epoch: [60][3160/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.7070 (1.8619)	Prec@1 55.000 (51.249)	Prec@5 82.500 (80.969)
Epoch: [60][3170/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.6702 (1.8618)	Prec@1 52.000 (51.251)	Prec@5 84.000 (80.969)
Epoch: [60][3180/9018]	Time 0.764 (0.625)	Data 0.001 (0.003)	Loss 2.0257 (1.8619)	Prec@1 48.500 (51.247)	Prec@5 76.000 (80.967)
Epoch: [60][3190/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.8375 (1.8619)	Prec@1 53.000 (51.248)	Prec@5 80.000 (80.966)
Epoch: [60][3200/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.8752 (1.8619)	Prec@1 55.000 (51.245)	Prec@5 84.000 (80.966)
Epoch: [60][3210/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 2.1539 (1.8617)	Prec@1 48.000 (51.252)	Prec@5 74.000 (80.967)
Epoch: [60][3220/9018]	Time 0.587 (0.625)	Data 0.001 (0.003)	Loss 2.0740 (1.8617)	Prec@1 49.000 (51.252)	Prec@5 75.500 (80.969)
Epoch: [60][3230/9018]	Time 0.718 (0.625)	Data 0.001 (0.003)	Loss 1.7978 (1.8614)	Prec@1 54.000 (51.256)	Prec@5 82.000 (80.973)
Epoch: [60][3240/9018]	Time 0.603 (0.625)	Data 0.005 (0.003)	Loss 2.0192 (1.8613)	Prec@1 46.000 (51.257)	Prec@5 79.500 (80.971)
Epoch: [60][3250/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.8458 (1.8613)	Prec@1 49.500 (51.255)	Prec@5 81.000 (80.968)
Epoch: [60][3260/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.6700 (1.8613)	Prec@1 58.000 (51.258)	Prec@5 85.000 (80.967)
Epoch: [60][3270/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.8216 (1.8613)	Prec@1 58.000 (51.260)	Prec@5 78.500 (80.962)
Epoch: [60][3280/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.9029 (1.8610)	Prec@1 52.000 (51.268)	Prec@5 75.500 (80.966)
Epoch: [60][3290/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.7411 (1.8609)	Prec@1 50.500 (51.268)	Prec@5 80.000 (80.967)
Epoch: [60][3300/9018]	Time 0.642 (0.625)	Data 0.024 (0.003)	Loss 1.9976 (1.8608)	Prec@1 46.500 (51.268)	Prec@5 79.000 (80.968)
Epoch: [60][3310/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8361 (1.8607)	Prec@1 50.500 (51.268)	Prec@5 83.000 (80.971)
Epoch: [60][3320/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.7998 (1.8607)	Prec@1 51.500 (51.270)	Prec@5 82.500 (80.969)
Epoch: [60][3330/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.7318 (1.8606)	Prec@1 56.000 (51.271)	Prec@5 84.500 (80.971)
Epoch: [60][3340/9018]	Time 0.618 (0.625)	Data 0.007 (0.003)	Loss 1.8360 (1.8607)	Prec@1 51.500 (51.267)	Prec@5 80.000 (80.966)
Epoch: [60][3350/9018]	Time 0.612 (0.625)	Data 0.016 (0.003)	Loss 1.7041 (1.8605)	Prec@1 58.000 (51.270)	Prec@5 81.000 (80.970)
Epoch: [60][3360/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.7102 (1.8603)	Prec@1 56.000 (51.269)	Prec@5 81.000 (80.973)
Epoch: [60][3370/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.8109 (1.8603)	Prec@1 54.000 (51.273)	Prec@5 79.500 (80.974)
Epoch: [60][3380/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.7553 (1.8601)	Prec@1 55.000 (51.278)	Prec@5 86.000 (80.979)
Epoch: [60][3390/9018]	Time 0.627 (0.625)	Data 0.005 (0.003)	Loss 1.8489 (1.8600)	Prec@1 54.000 (51.283)	Prec@5 81.000 (80.981)
Epoch: [60][3400/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.8449 (1.8598)	Prec@1 49.000 (51.287)	Prec@5 80.000 (80.985)
Epoch: [60][3410/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.9331 (1.8596)	Prec@1 46.500 (51.290)	Prec@5 79.000 (80.988)
Epoch: [60][3420/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.9389 (1.8597)	Prec@1 49.000 (51.290)	Prec@5 78.000 (80.984)
Epoch: [60][3430/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.6472 (1.8593)	Prec@1 57.500 (51.298)	Prec@5 84.500 (80.989)
Epoch: [60][3440/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.8178 (1.8592)	Prec@1 53.500 (51.302)	Prec@5 81.500 (80.990)
Epoch: [60][3450/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 2.1194 (1.8593)	Prec@1 49.000 (51.306)	Prec@5 72.500 (80.989)
Epoch: [60][3460/9018]	Time 0.632 (0.625)	Data 0.016 (0.003)	Loss 1.7580 (1.8592)	Prec@1 55.000 (51.308)	Prec@5 80.000 (80.989)
Epoch: [60][3470/9018]	Time 0.660 (0.625)	Data 0.014 (0.003)	Loss 1.7729 (1.8593)	Prec@1 54.500 (51.309)	Prec@5 79.000 (80.986)
Epoch: [60][3480/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.7153 (1.8593)	Prec@1 52.500 (51.312)	Prec@5 85.000 (80.983)
Epoch: [60][3490/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.6952 (1.8591)	Prec@1 57.500 (51.315)	Prec@5 83.000 (80.988)
Epoch: [60][3500/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.7544 (1.8589)	Prec@1 59.000 (51.318)	Prec@5 81.000 (80.992)
Epoch: [60][3510/9018]	Time 0.739 (0.625)	Data 0.001 (0.003)	Loss 1.7911 (1.8586)	Prec@1 51.000 (51.328)	Prec@5 82.500 (80.999)
Epoch: [60][3520/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.0412 (1.8587)	Prec@1 45.000 (51.327)	Prec@5 78.000 (80.996)
Epoch: [60][3530/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.7047 (1.8584)	Prec@1 55.000 (51.329)	Prec@5 85.000 (81.000)
Epoch: [60][3540/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.8028 (1.8584)	Prec@1 48.500 (51.329)	Prec@5 83.000 (81.003)
Epoch: [60][3550/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.7519 (1.8584)	Prec@1 52.000 (51.326)	Prec@5 79.500 (81.005)
Epoch: [60][3560/9018]	Time 0.716 (0.625)	Data 0.001 (0.003)	Loss 1.9860 (1.8581)	Prec@1 52.500 (51.334)	Prec@5 79.500 (81.007)
Epoch: [60][3570/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.8459 (1.8582)	Prec@1 51.000 (51.330)	Prec@5 80.000 (81.005)
Epoch: [60][3580/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.9392 (1.8582)	Prec@1 49.500 (51.334)	Prec@5 79.000 (81.004)
Epoch: [60][3590/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.6549 (1.8580)	Prec@1 50.500 (51.338)	Prec@5 83.500 (81.007)
Epoch: [60][3600/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.9006 (1.8580)	Prec@1 52.500 (51.336)	Prec@5 79.000 (81.009)
Epoch: [60][3610/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.8655 (1.8578)	Prec@1 54.000 (51.341)	Prec@5 81.000 (81.011)
Epoch: [60][3620/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.6657 (1.8577)	Prec@1 56.500 (51.345)	Prec@5 87.000 (81.014)
Epoch: [60][3630/9018]	Time 0.623 (0.625)	Data 0.013 (0.003)	Loss 1.4919 (1.8576)	Prec@1 58.500 (51.345)	Prec@5 87.500 (81.014)
Epoch: [60][3640/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.9167 (1.8577)	Prec@1 50.000 (51.342)	Prec@5 81.000 (81.012)
Epoch: [60][3650/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.8598 (1.8575)	Prec@1 49.500 (51.349)	Prec@5 81.000 (81.011)
Epoch: [60][3660/9018]	Time 0.607 (0.625)	Data 0.012 (0.003)	Loss 1.9246 (1.8574)	Prec@1 49.500 (51.348)	Prec@5 80.000 (81.013)
Epoch: [60][3670/9018]	Time 0.605 (0.624)	Data 0.017 (0.003)	Loss 1.8695 (1.8571)	Prec@1 53.000 (51.355)	Prec@5 83.000 (81.019)
Epoch: [60][3680/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.7123 (1.8570)	Prec@1 59.000 (51.359)	Prec@5 83.500 (81.019)
Epoch: [60][3690/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.8193 (1.8570)	Prec@1 53.000 (51.359)	Prec@5 80.500 (81.019)
Epoch: [60][3700/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.9215 (1.8570)	Prec@1 48.500 (51.358)	Prec@5 81.000 (81.018)
Epoch: [60][3710/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.8003 (1.8569)	Prec@1 51.000 (51.362)	Prec@5 81.000 (81.019)
Epoch: [60][3720/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.8444 (1.8568)	Prec@1 50.500 (51.366)	Prec@5 81.500 (81.021)
Epoch: [60][3730/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.7879 (1.8567)	Prec@1 51.000 (51.370)	Prec@5 83.000 (81.023)
Epoch: [60][3740/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.8494 (1.8568)	Prec@1 51.000 (51.371)	Prec@5 80.500 (81.022)
Epoch: [60][3750/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.7086 (1.8566)	Prec@1 54.000 (51.375)	Prec@5 85.000 (81.027)
Epoch: [60][3760/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9440 (1.8566)	Prec@1 46.000 (51.375)	Prec@5 79.000 (81.024)
Epoch: [60][3770/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.8760 (1.8564)	Prec@1 51.000 (51.376)	Prec@5 82.500 (81.027)
Epoch: [60][3780/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.6897 (1.8564)	Prec@1 57.000 (51.378)	Prec@5 84.500 (81.025)
Epoch: [60][3790/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.7868 (1.8562)	Prec@1 50.500 (51.382)	Prec@5 80.500 (81.027)
Epoch: [60][3800/9018]	Time 0.676 (0.625)	Data 0.001 (0.003)	Loss 2.1363 (1.8564)	Prec@1 50.500 (51.380)	Prec@5 76.000 (81.022)
Epoch: [60][3810/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.6652 (1.8564)	Prec@1 55.000 (51.379)	Prec@5 85.500 (81.022)
Epoch: [60][3820/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.8543 (1.8566)	Prec@1 52.000 (51.377)	Prec@5 81.500 (81.021)
Epoch: [60][3830/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.7032 (1.8563)	Prec@1 54.500 (51.382)	Prec@5 84.500 (81.025)
Epoch: [60][3840/9018]	Time 0.748 (0.625)	Data 0.001 (0.003)	Loss 1.9591 (1.8563)	Prec@1 49.000 (51.387)	Prec@5 80.000 (81.025)
Epoch: [60][3850/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.7516 (1.8562)	Prec@1 57.500 (51.390)	Prec@5 80.000 (81.025)
Epoch: [60][3860/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.5821 (1.8560)	Prec@1 57.000 (51.394)	Prec@5 83.000 (81.029)
Epoch: [60][3870/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.7920 (1.8560)	Prec@1 49.000 (51.394)	Prec@5 83.000 (81.032)
Epoch: [60][3880/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.6961 (1.8559)	Prec@1 52.000 (51.398)	Prec@5 85.000 (81.032)
Epoch: [60][3890/9018]	Time 0.757 (0.625)	Data 0.001 (0.003)	Loss 2.0218 (1.8558)	Prec@1 48.000 (51.398)	Prec@5 79.500 (81.034)
Epoch: [60][3900/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.8539 (1.8557)	Prec@1 53.500 (51.397)	Prec@5 81.500 (81.036)
Epoch: [60][3910/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.8126 (1.8556)	Prec@1 50.500 (51.401)	Prec@5 81.000 (81.038)
Epoch: [60][3920/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.7799 (1.8556)	Prec@1 49.000 (51.400)	Prec@5 82.500 (81.034)
Epoch: [60][3930/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.8928 (1.8554)	Prec@1 46.500 (51.404)	Prec@5 83.000 (81.039)
Epoch: [60][3940/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.7710 (1.8552)	Prec@1 54.000 (51.403)	Prec@5 81.500 (81.040)
Epoch: [60][3950/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.7792 (1.8551)	Prec@1 53.500 (51.403)	Prec@5 81.000 (81.043)
Epoch: [60][3960/9018]	Time 0.655 (0.625)	Data 0.001 (0.003)	Loss 1.9891 (1.8552)	Prec@1 47.500 (51.402)	Prec@5 80.000 (81.043)
Epoch: [60][3970/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.9945 (1.8551)	Prec@1 48.000 (51.404)	Prec@5 80.000 (81.044)
Epoch: [60][3980/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 2.0349 (1.8551)	Prec@1 46.000 (51.407)	Prec@5 77.000 (81.043)
Epoch: [60][3990/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 1.8007 (1.8550)	Prec@1 54.000 (51.413)	Prec@5 82.000 (81.046)
Epoch: [60][4000/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.7868 (1.8548)	Prec@1 53.000 (51.418)	Prec@5 81.000 (81.047)
Epoch: [60][4010/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 1.8791 (1.8546)	Prec@1 50.000 (51.421)	Prec@5 80.500 (81.049)
Epoch: [60][4020/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.6288 (1.8546)	Prec@1 54.500 (51.425)	Prec@5 84.500 (81.050)
Epoch: [60][4030/9018]	Time 0.625 (0.625)	Data 0.016 (0.003)	Loss 1.9498 (1.8546)	Prec@1 50.500 (51.428)	Prec@5 80.000 (81.051)
Epoch: [60][4040/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.6244 (1.8545)	Prec@1 54.500 (51.427)	Prec@5 84.000 (81.051)
Epoch: [60][4050/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.8826 (1.8544)	Prec@1 51.000 (51.432)	Prec@5 77.500 (81.052)
Epoch: [60][4060/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.8922 (1.8544)	Prec@1 49.500 (51.431)	Prec@5 80.500 (81.054)
Epoch: [60][4070/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.8234 (1.8541)	Prec@1 51.500 (51.434)	Prec@5 82.500 (81.057)
Epoch: [60][4080/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.7805 (1.8540)	Prec@1 56.500 (51.433)	Prec@5 83.500 (81.059)
Epoch: [60][4090/9018]	Time 0.611 (0.625)	Data 0.007 (0.003)	Loss 1.7403 (1.8540)	Prec@1 54.000 (51.434)	Prec@5 81.500 (81.059)
Epoch: [60][4100/9018]	Time 0.594 (0.625)	Data 0.003 (0.003)	Loss 1.6195 (1.8538)	Prec@1 54.000 (51.438)	Prec@5 87.500 (81.060)
Epoch: [60][4110/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.8959 (1.8538)	Prec@1 48.500 (51.440)	Prec@5 78.500 (81.058)
Epoch: [60][4120/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.8772 (1.8538)	Prec@1 53.000 (51.441)	Prec@5 83.000 (81.060)
Epoch: [60][4130/9018]	Time 0.617 (0.625)	Data 0.007 (0.003)	Loss 1.6775 (1.8538)	Prec@1 58.000 (51.440)	Prec@5 85.000 (81.062)
Epoch: [60][4140/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.7811 (1.8538)	Prec@1 53.000 (51.440)	Prec@5 80.000 (81.059)
Epoch: [60][4150/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.8979 (1.8537)	Prec@1 50.500 (51.441)	Prec@5 81.000 (81.060)
Epoch: [60][4160/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.9566 (1.8536)	Prec@1 50.000 (51.442)	Prec@5 81.500 (81.065)
Epoch: [60][4170/9018]	Time 0.781 (0.625)	Data 0.001 (0.003)	Loss 1.7553 (1.8535)	Prec@1 52.500 (51.447)	Prec@5 82.000 (81.063)
Epoch: [60][4180/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.9013 (1.8536)	Prec@1 54.000 (51.448)	Prec@5 80.500 (81.062)
Epoch: [60][4190/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.8136 (1.8533)	Prec@1 51.500 (51.455)	Prec@5 82.500 (81.067)
Epoch: [60][4200/9018]	Time 0.594 (0.625)	Data 0.012 (0.003)	Loss 1.8933 (1.8532)	Prec@1 49.500 (51.454)	Prec@5 82.500 (81.068)
Epoch: [60][4210/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.9469 (1.8532)	Prec@1 52.000 (51.453)	Prec@5 81.500 (81.068)
Epoch: [60][4220/9018]	Time 0.719 (0.625)	Data 0.001 (0.003)	Loss 1.7049 (1.8532)	Prec@1 55.500 (51.452)	Prec@5 82.000 (81.069)
Epoch: [60][4230/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 1.7415 (1.8531)	Prec@1 54.500 (51.457)	Prec@5 82.500 (81.070)
Epoch: [60][4240/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.7387 (1.8530)	Prec@1 56.000 (51.460)	Prec@5 81.000 (81.074)
Epoch: [60][4250/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.7511 (1.8530)	Prec@1 51.000 (51.462)	Prec@5 79.500 (81.072)
Epoch: [60][4260/9018]	Time 0.619 (0.625)	Data 0.002 (0.003)	Loss 1.8363 (1.8529)	Prec@1 53.000 (51.463)	Prec@5 84.500 (81.076)
Epoch: [60][4270/9018]	Time 0.656 (0.625)	Data 0.001 (0.003)	Loss 1.8283 (1.8527)	Prec@1 52.000 (51.464)	Prec@5 80.500 (81.077)
Epoch: [60][4280/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.8224 (1.8527)	Prec@1 53.000 (51.465)	Prec@5 80.500 (81.079)
Epoch: [60][4290/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.7460 (1.8527)	Prec@1 53.500 (51.468)	Prec@5 82.500 (81.080)
Epoch: [60][4300/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.8554 (1.8526)	Prec@1 53.500 (51.470)	Prec@5 82.000 (81.081)
Epoch: [60][4310/9018]	Time 0.636 (0.625)	Data 0.016 (0.003)	Loss 1.7567 (1.8525)	Prec@1 52.000 (51.471)	Prec@5 80.500 (81.081)
Epoch: [60][4320/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.8608 (1.8525)	Prec@1 52.000 (51.469)	Prec@5 80.500 (81.080)
Epoch: [60][4330/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9281 (1.8524)	Prec@1 52.500 (51.471)	Prec@5 80.500 (81.080)
Epoch: [60][4340/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.7449 (1.8523)	Prec@1 54.500 (51.473)	Prec@5 81.000 (81.082)
Epoch: [60][4350/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.6807 (1.8523)	Prec@1 53.500 (51.474)	Prec@5 80.000 (81.082)
Epoch: [60][4360/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.5299 (1.8522)	Prec@1 60.000 (51.476)	Prec@5 85.000 (81.085)
Epoch: [60][4370/9018]	Time 0.620 (0.625)	Data 0.016 (0.003)	Loss 1.7637 (1.8520)	Prec@1 54.000 (51.480)	Prec@5 79.000 (81.086)
Epoch: [60][4380/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.8274 (1.8519)	Prec@1 52.500 (51.483)	Prec@5 77.500 (81.086)
Epoch: [60][4390/9018]	Time 0.611 (0.625)	Data 0.017 (0.003)	Loss 1.9648 (1.8518)	Prec@1 46.500 (51.483)	Prec@5 79.500 (81.087)
Epoch: [60][4400/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.8354 (1.8517)	Prec@1 50.500 (51.484)	Prec@5 82.000 (81.089)
Epoch: [60][4410/9018]	Time 0.612 (0.625)	Data 0.013 (0.003)	Loss 1.9041 (1.8516)	Prec@1 46.000 (51.484)	Prec@5 84.000 (81.091)
Epoch: [60][4420/9018]	Time 0.622 (0.625)	Data 0.016 (0.003)	Loss 1.9960 (1.8516)	Prec@1 49.500 (51.485)	Prec@5 77.000 (81.091)
Epoch: [60][4430/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.7703 (1.8515)	Prec@1 55.000 (51.488)	Prec@5 80.500 (81.091)
Epoch: [60][4440/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.7840 (1.8514)	Prec@1 52.000 (51.488)	Prec@5 82.000 (81.092)
Epoch: [60][4450/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.9508 (1.8514)	Prec@1 51.000 (51.487)	Prec@5 78.000 (81.090)
Epoch: [60][4460/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.7037 (1.8515)	Prec@1 55.000 (51.486)	Prec@5 84.000 (81.089)
Epoch: [60][4470/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.5377 (1.8514)	Prec@1 57.500 (51.488)	Prec@5 88.000 (81.091)
Epoch: [60][4480/9018]	Time 0.612 (0.625)	Data 0.017 (0.003)	Loss 1.7791 (1.8514)	Prec@1 53.500 (51.491)	Prec@5 82.500 (81.093)
Epoch: [60][4490/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.9513 (1.8514)	Prec@1 47.500 (51.485)	Prec@5 81.500 (81.094)
Epoch: [60][4500/9018]	Time 0.757 (0.625)	Data 0.001 (0.003)	Loss 2.0122 (1.8515)	Prec@1 50.000 (51.483)	Prec@5 80.000 (81.095)
Epoch: [60][4510/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.9010 (1.8517)	Prec@1 47.000 (51.477)	Prec@5 80.500 (81.092)
Epoch: [60][4520/9018]	Time 0.612 (0.625)	Data 0.002 (0.003)	Loss 1.8216 (1.8517)	Prec@1 54.000 (51.479)	Prec@5 80.500 (81.091)
Epoch: [60][4530/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.7288 (1.8517)	Prec@1 56.500 (51.482)	Prec@5 83.000 (81.093)
Epoch: [60][4540/9018]	Time 0.626 (0.625)	Data 0.015 (0.003)	Loss 1.7228 (1.8516)	Prec@1 57.500 (51.485)	Prec@5 81.000 (81.094)
Epoch: [60][4550/9018]	Time 0.781 (0.625)	Data 0.001 (0.003)	Loss 1.8882 (1.8515)	Prec@1 47.000 (51.488)	Prec@5 81.500 (81.096)
Epoch: [60][4560/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.8795 (1.8514)	Prec@1 50.500 (51.487)	Prec@5 81.000 (81.097)
Epoch: [60][4570/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8269 (1.8513)	Prec@1 49.000 (51.490)	Prec@5 84.500 (81.099)
Epoch: [60][4580/9018]	Time 0.641 (0.625)	Data 0.002 (0.003)	Loss 2.0948 (1.8512)	Prec@1 47.000 (51.492)	Prec@5 76.000 (81.102)
Epoch: [60][4590/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 2.1312 (1.8513)	Prec@1 45.000 (51.490)	Prec@5 78.500 (81.100)
Epoch: [60][4600/9018]	Time 0.610 (0.625)	Data 0.013 (0.003)	Loss 1.5799 (1.8511)	Prec@1 55.500 (51.494)	Prec@5 85.000 (81.101)
Epoch: [60][4610/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.9689 (1.8511)	Prec@1 50.500 (51.494)	Prec@5 80.000 (81.103)
Epoch: [60][4620/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.7479 (1.8510)	Prec@1 55.500 (51.499)	Prec@5 82.000 (81.106)
Epoch: [60][4630/9018]	Time 0.631 (0.625)	Data 0.014 (0.003)	Loss 1.8968 (1.8509)	Prec@1 47.500 (51.502)	Prec@5 80.000 (81.106)
Epoch: [60][4640/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.7615 (1.8507)	Prec@1 50.000 (51.502)	Prec@5 83.000 (81.110)
Epoch: [60][4650/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 1.8618 (1.8506)	Prec@1 53.000 (51.505)	Prec@5 79.500 (81.109)
Epoch: [60][4660/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.7099 (1.8505)	Prec@1 53.500 (51.507)	Prec@5 82.500 (81.110)
Epoch: [60][4670/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 2.0016 (1.8505)	Prec@1 54.000 (51.507)	Prec@5 78.000 (81.110)
Epoch: [60][4680/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.6748 (1.8504)	Prec@1 56.000 (51.511)	Prec@5 83.500 (81.112)
Epoch: [60][4690/9018]	Time 0.610 (0.625)	Data 0.004 (0.003)	Loss 1.8856 (1.8502)	Prec@1 48.500 (51.512)	Prec@5 83.000 (81.115)
Epoch: [60][4700/9018]	Time 0.651 (0.625)	Data 0.001 (0.003)	Loss 1.8300 (1.8503)	Prec@1 54.500 (51.509)	Prec@5 79.500 (81.114)
Epoch: [60][4710/9018]	Time 0.603 (0.625)	Data 0.005 (0.003)	Loss 1.7830 (1.8503)	Prec@1 55.500 (51.512)	Prec@5 83.000 (81.113)
Epoch: [60][4720/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.6530 (1.8503)	Prec@1 54.000 (51.511)	Prec@5 83.000 (81.114)
Epoch: [60][4730/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.9057 (1.8500)	Prec@1 49.000 (51.517)	Prec@5 80.000 (81.119)
Epoch: [60][4740/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.8712 (1.8500)	Prec@1 50.000 (51.514)	Prec@5 80.000 (81.116)
Epoch: [60][4750/9018]	Time 0.616 (0.625)	Data 0.017 (0.003)	Loss 1.7495 (1.8499)	Prec@1 51.500 (51.518)	Prec@5 82.000 (81.118)
Epoch: [60][4760/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.7560 (1.8498)	Prec@1 55.500 (51.521)	Prec@5 81.000 (81.121)
Epoch: [60][4770/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.7077 (1.8496)	Prec@1 58.500 (51.525)	Prec@5 85.000 (81.126)
Epoch: [60][4780/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.7343 (1.8495)	Prec@1 55.000 (51.529)	Prec@5 83.500 (81.128)
Epoch: [60][4790/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.8562 (1.8495)	Prec@1 49.500 (51.526)	Prec@5 84.000 (81.129)
Epoch: [60][4800/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.9108 (1.8494)	Prec@1 50.500 (51.531)	Prec@5 84.500 (81.130)
Epoch: [60][4810/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.8381 (1.8494)	Prec@1 49.500 (51.531)	Prec@5 82.000 (81.132)
Epoch: [60][4820/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6960 (1.8495)	Prec@1 57.500 (51.529)	Prec@5 84.000 (81.128)
Epoch: [60][4830/9018]	Time 0.762 (0.624)	Data 0.001 (0.003)	Loss 1.9324 (1.8495)	Prec@1 49.500 (51.529)	Prec@5 78.000 (81.128)
Epoch: [60][4840/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.8882 (1.8495)	Prec@1 50.500 (51.525)	Prec@5 79.000 (81.125)
Epoch: [60][4850/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.6811 (1.8493)	Prec@1 54.000 (51.529)	Prec@5 82.000 (81.130)
Epoch: [60][4860/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.6320 (1.8493)	Prec@1 57.500 (51.530)	Prec@5 86.500 (81.130)
Epoch: [60][4870/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.7762 (1.8492)	Prec@1 58.500 (51.532)	Prec@5 80.500 (81.130)
Epoch: [60][4880/9018]	Time 0.773 (0.624)	Data 0.001 (0.003)	Loss 1.8504 (1.8493)	Prec@1 49.000 (51.530)	Prec@5 81.500 (81.129)
Epoch: [60][4890/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.9189 (1.8492)	Prec@1 48.500 (51.534)	Prec@5 78.500 (81.129)
Epoch: [60][4900/9018]	Time 0.602 (0.624)	Data 0.014 (0.003)	Loss 1.7676 (1.8491)	Prec@1 55.000 (51.536)	Prec@5 78.500 (81.130)
Epoch: [60][4910/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.6633 (1.8490)	Prec@1 54.500 (51.540)	Prec@5 86.000 (81.134)
Epoch: [60][4920/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.9791 (1.8490)	Prec@1 49.500 (51.538)	Prec@5 78.500 (81.133)
Epoch: [60][4930/9018]	Time 0.625 (0.624)	Data 0.023 (0.003)	Loss 1.8477 (1.8489)	Prec@1 51.500 (51.538)	Prec@5 81.500 (81.133)
Epoch: [60][4940/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.7161 (1.8488)	Prec@1 54.000 (51.540)	Prec@5 83.000 (81.137)
Epoch: [60][4950/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.8008 (1.8488)	Prec@1 54.500 (51.542)	Prec@5 83.000 (81.137)
Epoch: [60][4960/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.7104 (1.8487)	Prec@1 53.500 (51.542)	Prec@5 86.000 (81.139)
Epoch: [60][4970/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.4040 (1.8485)	Prec@1 64.000 (51.546)	Prec@5 88.000 (81.140)
Epoch: [60][4980/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.8536 (1.8485)	Prec@1 46.500 (51.547)	Prec@5 85.000 (81.141)
Epoch: [60][4990/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 1.9795 (1.8486)	Prec@1 45.500 (51.546)	Prec@5 80.000 (81.140)
Epoch: [60][5000/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.7868 (1.8486)	Prec@1 59.500 (51.549)	Prec@5 83.500 (81.141)
Epoch: [60][5010/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.9267 (1.8486)	Prec@1 54.500 (51.551)	Prec@5 78.000 (81.141)
Epoch: [60][5020/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.9359 (1.8485)	Prec@1 52.500 (51.553)	Prec@5 77.500 (81.144)
Epoch: [60][5030/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.7267 (1.8486)	Prec@1 53.000 (51.549)	Prec@5 85.000 (81.143)
Epoch: [60][5040/9018]	Time 0.635 (0.624)	Data 0.001 (0.003)	Loss 1.9986 (1.8486)	Prec@1 46.500 (51.547)	Prec@5 77.000 (81.146)
Epoch: [60][5050/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.9282 (1.8486)	Prec@1 47.000 (51.548)	Prec@5 80.500 (81.146)
Epoch: [60][5060/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.8453 (1.8487)	Prec@1 50.000 (51.544)	Prec@5 82.500 (81.146)
Epoch: [60][5070/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.6796 (1.8486)	Prec@1 56.000 (51.546)	Prec@5 83.500 (81.147)
Epoch: [60][5080/9018]	Time 0.640 (0.624)	Data 0.001 (0.003)	Loss 1.8108 (1.8484)	Prec@1 49.500 (51.547)	Prec@5 84.000 (81.151)
Epoch: [60][5090/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 2.0551 (1.8484)	Prec@1 46.500 (51.548)	Prec@5 77.000 (81.154)
Epoch: [60][5100/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.7581 (1.8484)	Prec@1 53.500 (51.548)	Prec@5 83.500 (81.154)
Epoch: [60][5110/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.9398 (1.8483)	Prec@1 46.000 (51.546)	Prec@5 82.500 (81.155)
Epoch: [60][5120/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.8203 (1.8482)	Prec@1 53.500 (51.549)	Prec@5 81.500 (81.159)
Epoch: [60][5130/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.7489 (1.8480)	Prec@1 52.500 (51.550)	Prec@5 80.500 (81.164)
Epoch: [60][5140/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.9173 (1.8480)	Prec@1 50.500 (51.550)	Prec@5 81.000 (81.166)
Epoch: [60][5150/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 1.8559 (1.8479)	Prec@1 52.500 (51.553)	Prec@5 80.000 (81.169)
Epoch: [60][5160/9018]	Time 0.719 (0.624)	Data 0.001 (0.003)	Loss 1.7241 (1.8478)	Prec@1 52.500 (51.554)	Prec@5 84.500 (81.169)
Epoch: [60][5170/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.8136 (1.8479)	Prec@1 56.000 (51.553)	Prec@5 81.500 (81.169)
Epoch: [60][5180/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.8875 (1.8478)	Prec@1 53.500 (51.555)	Prec@5 81.000 (81.171)
Epoch: [60][5190/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.7717 (1.8477)	Prec@1 51.000 (51.555)	Prec@5 83.500 (81.172)
Epoch: [60][5200/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.6691 (1.8476)	Prec@1 50.000 (51.556)	Prec@5 87.500 (81.176)
Epoch: [60][5210/9018]	Time 0.729 (0.624)	Data 0.001 (0.003)	Loss 1.7950 (1.8476)	Prec@1 53.000 (51.555)	Prec@5 82.500 (81.177)
Epoch: [60][5220/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.6819 (1.8476)	Prec@1 52.500 (51.555)	Prec@5 86.000 (81.179)
Epoch: [60][5230/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.6636 (1.8475)	Prec@1 57.500 (51.556)	Prec@5 85.000 (81.181)
Epoch: [60][5240/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.7325 (1.8474)	Prec@1 54.500 (51.559)	Prec@5 83.500 (81.182)
Epoch: [60][5250/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.7927 (1.8475)	Prec@1 49.500 (51.557)	Prec@5 82.000 (81.182)
Epoch: [60][5260/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.7268 (1.8474)	Prec@1 51.500 (51.559)	Prec@5 84.500 (81.186)
Epoch: [60][5270/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.8687 (1.8473)	Prec@1 50.000 (51.560)	Prec@5 78.500 (81.188)
Epoch: [60][5280/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.9769 (1.8473)	Prec@1 52.500 (51.561)	Prec@5 78.000 (81.187)
Epoch: [60][5290/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.9250 (1.8472)	Prec@1 46.500 (51.559)	Prec@5 80.000 (81.189)
Epoch: [60][5300/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.9568 (1.8472)	Prec@1 48.500 (51.559)	Prec@5 79.500 (81.188)
Epoch: [60][5310/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 2.0679 (1.8473)	Prec@1 44.500 (51.557)	Prec@5 78.500 (81.188)
Epoch: [60][5320/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.8792 (1.8473)	Prec@1 50.500 (51.557)	Prec@5 81.000 (81.188)
Epoch: [60][5330/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.9974 (1.8473)	Prec@1 48.500 (51.557)	Prec@5 79.500 (81.189)
Epoch: [60][5340/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.8759 (1.8472)	Prec@1 51.000 (51.559)	Prec@5 81.000 (81.191)
Epoch: [60][5350/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.6986 (1.8472)	Prec@1 56.000 (51.560)	Prec@5 85.000 (81.190)
Epoch: [60][5360/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.7650 (1.8471)	Prec@1 50.000 (51.560)	Prec@5 86.000 (81.194)
Epoch: [60][5370/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.8909 (1.8470)	Prec@1 55.000 (51.563)	Prec@5 77.000 (81.195)
Epoch: [60][5380/9018]	Time 0.589 (0.624)	Data 0.001 (0.003)	Loss 1.7600 (1.8471)	Prec@1 55.000 (51.561)	Prec@5 84.000 (81.193)
Epoch: [60][5390/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.8516 (1.8470)	Prec@1 55.000 (51.564)	Prec@5 80.500 (81.196)
Epoch: [60][5400/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.6176 (1.8470)	Prec@1 57.500 (51.566)	Prec@5 88.500 (81.197)
Epoch: [60][5410/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.7127 (1.8468)	Prec@1 52.500 (51.568)	Prec@5 80.000 (81.200)
Epoch: [60][5420/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.7446 (1.8467)	Prec@1 56.500 (51.571)	Prec@5 84.000 (81.203)
Epoch: [60][5430/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.7229 (1.8466)	Prec@1 56.500 (51.573)	Prec@5 82.500 (81.205)
Epoch: [60][5440/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 1.6284 (1.8465)	Prec@1 61.500 (51.574)	Prec@5 82.000 (81.205)
Epoch: [60][5450/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.6281 (1.8463)	Prec@1 58.000 (51.579)	Prec@5 84.500 (81.208)
Epoch: [60][5460/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.9871 (1.8463)	Prec@1 51.000 (51.580)	Prec@5 78.500 (81.208)
Epoch: [60][5470/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8228 (1.8463)	Prec@1 51.000 (51.579)	Prec@5 82.000 (81.208)
Epoch: [60][5480/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.8806 (1.8462)	Prec@1 51.500 (51.576)	Prec@5 79.000 (81.209)
Epoch: [60][5490/9018]	Time 0.765 (0.623)	Data 0.001 (0.003)	Loss 1.7969 (1.8461)	Prec@1 49.000 (51.579)	Prec@5 82.000 (81.210)
Epoch: [60][5500/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8718 (1.8461)	Prec@1 50.500 (51.578)	Prec@5 76.500 (81.209)
Epoch: [60][5510/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.9463 (1.8461)	Prec@1 48.000 (51.579)	Prec@5 78.500 (81.210)
Epoch: [60][5520/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.9292 (1.8460)	Prec@1 48.000 (51.582)	Prec@5 79.000 (81.211)
Epoch: [60][5530/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.9767 (1.8460)	Prec@1 49.000 (51.583)	Prec@5 81.000 (81.211)
Epoch: [60][5540/9018]	Time 0.708 (0.623)	Data 0.001 (0.003)	Loss 1.6825 (1.8460)	Prec@1 54.500 (51.585)	Prec@5 82.500 (81.213)
Epoch: [60][5550/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8673 (1.8461)	Prec@1 58.500 (51.583)	Prec@5 81.500 (81.211)
Epoch: [60][5560/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.7370 (1.8459)	Prec@1 51.500 (51.583)	Prec@5 81.500 (81.213)
Epoch: [60][5570/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8961 (1.8459)	Prec@1 50.500 (51.583)	Prec@5 80.500 (81.212)
Epoch: [60][5580/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6334 (1.8457)	Prec@1 62.000 (51.588)	Prec@5 86.000 (81.216)
Epoch: [60][5590/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7127 (1.8456)	Prec@1 58.500 (51.589)	Prec@5 81.000 (81.218)
Epoch: [60][5600/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.5412 (1.8455)	Prec@1 54.500 (51.590)	Prec@5 85.500 (81.219)
Epoch: [60][5610/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 2.0413 (1.8456)	Prec@1 45.500 (51.587)	Prec@5 79.000 (81.220)
Epoch: [60][5620/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.9501 (1.8456)	Prec@1 53.500 (51.588)	Prec@5 78.000 (81.219)
Epoch: [60][5630/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.8815 (1.8457)	Prec@1 50.000 (51.588)	Prec@5 81.000 (81.219)
Epoch: [60][5640/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8452 (1.8456)	Prec@1 46.000 (51.586)	Prec@5 83.500 (81.221)
Epoch: [60][5650/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.8622 (1.8455)	Prec@1 48.500 (51.588)	Prec@5 80.500 (81.223)
Epoch: [60][5660/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.5959 (1.8453)	Prec@1 60.500 (51.592)	Prec@5 87.000 (81.225)
Epoch: [60][5670/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.8273 (1.8452)	Prec@1 52.500 (51.593)	Prec@5 81.500 (81.228)
Epoch: [60][5680/9018]	Time 0.670 (0.623)	Data 0.001 (0.003)	Loss 1.8466 (1.8452)	Prec@1 49.000 (51.593)	Prec@5 78.500 (81.228)
Epoch: [60][5690/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.7522 (1.8450)	Prec@1 56.500 (51.598)	Prec@5 83.000 (81.230)
Epoch: [60][5700/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.9127 (1.8450)	Prec@1 51.500 (51.600)	Prec@5 79.000 (81.230)
Epoch: [60][5710/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.9390 (1.8450)	Prec@1 49.000 (51.597)	Prec@5 80.000 (81.228)
Epoch: [60][5720/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.8928 (1.8449)	Prec@1 52.000 (51.599)	Prec@5 81.000 (81.229)
Epoch: [60][5730/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.5917 (1.8448)	Prec@1 52.500 (51.602)	Prec@5 85.000 (81.232)
Epoch: [60][5740/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.9759 (1.8448)	Prec@1 47.500 (51.602)	Prec@5 78.500 (81.232)
Epoch: [60][5750/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8188 (1.8447)	Prec@1 54.500 (51.603)	Prec@5 81.000 (81.232)
Epoch: [60][5760/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.9131 (1.8448)	Prec@1 52.500 (51.603)	Prec@5 80.000 (81.232)
Epoch: [60][5770/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.8384 (1.8448)	Prec@1 50.500 (51.601)	Prec@5 82.000 (81.230)
Epoch: [60][5780/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6386 (1.8447)	Prec@1 55.000 (51.603)	Prec@5 86.500 (81.233)
Epoch: [60][5790/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8563 (1.8446)	Prec@1 51.000 (51.604)	Prec@5 79.500 (81.233)
Epoch: [60][5800/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7458 (1.8446)	Prec@1 54.000 (51.604)	Prec@5 84.000 (81.235)
Epoch: [60][5810/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7580 (1.8445)	Prec@1 49.500 (51.606)	Prec@5 81.500 (81.237)
Epoch: [60][5820/9018]	Time 0.714 (0.623)	Data 0.001 (0.003)	Loss 1.7795 (1.8445)	Prec@1 53.000 (51.606)	Prec@5 80.500 (81.237)
Epoch: [60][5830/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.9558 (1.8445)	Prec@1 50.500 (51.605)	Prec@5 81.000 (81.237)
Epoch: [60][5840/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.9022 (1.8445)	Prec@1 50.500 (51.605)	Prec@5 78.500 (81.236)
Epoch: [60][5850/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 2.0358 (1.8444)	Prec@1 49.000 (51.606)	Prec@5 78.500 (81.237)
Epoch: [60][5860/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.9141 (1.8444)	Prec@1 51.500 (51.606)	Prec@5 78.500 (81.237)
Epoch: [60][5870/9018]	Time 0.737 (0.623)	Data 0.001 (0.003)	Loss 1.9753 (1.8443)	Prec@1 48.500 (51.607)	Prec@5 79.000 (81.239)
Epoch: [60][5880/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.9509 (1.8442)	Prec@1 48.000 (51.608)	Prec@5 77.500 (81.239)
Epoch: [60][5890/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.9577 (1.8441)	Prec@1 52.500 (51.612)	Prec@5 80.000 (81.242)
Epoch: [60][5900/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.8110 (1.8440)	Prec@1 51.500 (51.614)	Prec@5 79.500 (81.244)
Epoch: [60][5910/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7373 (1.8440)	Prec@1 52.500 (51.614)	Prec@5 83.500 (81.244)
Epoch: [60][5920/9018]	Time 0.639 (0.623)	Data 0.007 (0.003)	Loss 1.7561 (1.8439)	Prec@1 52.500 (51.616)	Prec@5 83.500 (81.245)
Epoch: [60][5930/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7359 (1.8439)	Prec@1 55.500 (51.618)	Prec@5 84.000 (81.245)
Epoch: [60][5940/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.8189 (1.8439)	Prec@1 53.500 (51.619)	Prec@5 79.000 (81.245)
Epoch: [60][5950/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7472 (1.8438)	Prec@1 52.500 (51.620)	Prec@5 81.500 (81.245)
Epoch: [60][5960/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8851 (1.8436)	Prec@1 51.500 (51.624)	Prec@5 82.500 (81.248)
Epoch: [60][5970/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6819 (1.8437)	Prec@1 56.500 (51.620)	Prec@5 85.000 (81.247)
Epoch: [60][5980/9018]	Time 0.633 (0.623)	Data 0.006 (0.003)	Loss 1.7902 (1.8437)	Prec@1 58.500 (51.621)	Prec@5 78.500 (81.249)
Epoch: [60][5990/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7951 (1.8436)	Prec@1 56.500 (51.622)	Prec@5 81.000 (81.251)
Epoch: [60][6000/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7573 (1.8434)	Prec@1 54.000 (51.626)	Prec@5 81.000 (81.254)
Epoch: [60][6010/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6964 (1.8433)	Prec@1 56.500 (51.628)	Prec@5 86.000 (81.256)
Epoch: [60][6020/9018]	Time 0.640 (0.623)	Data 0.014 (0.003)	Loss 1.8080 (1.8431)	Prec@1 53.000 (51.631)	Prec@5 82.500 (81.259)
Epoch: [60][6030/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7157 (1.8430)	Prec@1 55.000 (51.636)	Prec@5 82.000 (81.263)
Epoch: [60][6040/9018]	Time 0.660 (0.623)	Data 0.001 (0.003)	Loss 1.8941 (1.8429)	Prec@1 50.500 (51.637)	Prec@5 81.000 (81.264)
Epoch: [60][6050/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.8532 (1.8428)	Prec@1 55.000 (51.639)	Prec@5 81.500 (81.266)
Epoch: [60][6060/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6830 (1.8428)	Prec@1 55.000 (51.642)	Prec@5 85.500 (81.267)
Epoch: [60][6070/9018]	Time 0.606 (0.623)	Data 0.002 (0.003)	Loss 1.6835 (1.8428)	Prec@1 56.500 (51.644)	Prec@5 82.500 (81.269)
Epoch: [60][6080/9018]	Time 0.620 (0.623)	Data 0.002 (0.003)	Loss 1.9254 (1.8427)	Prec@1 50.500 (51.645)	Prec@5 77.000 (81.270)
Epoch: [60][6090/9018]	Time 0.621 (0.623)	Data 0.008 (0.003)	Loss 1.8826 (1.8427)	Prec@1 50.000 (51.645)	Prec@5 79.000 (81.270)
Epoch: [60][6100/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7117 (1.8427)	Prec@1 56.000 (51.644)	Prec@5 84.500 (81.271)
Epoch: [60][6110/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8348 (1.8427)	Prec@1 47.000 (51.644)	Prec@5 83.500 (81.270)
Epoch: [60][6120/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.9671 (1.8427)	Prec@1 49.500 (51.646)	Prec@5 78.500 (81.272)
Epoch: [60][6130/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.9174 (1.8426)	Prec@1 51.500 (51.649)	Prec@5 80.000 (81.273)
Epoch: [60][6140/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8287 (1.8426)	Prec@1 52.000 (51.649)	Prec@5 81.500 (81.272)
Epoch: [60][6150/9018]	Time 0.735 (0.623)	Data 0.001 (0.003)	Loss 1.7197 (1.8426)	Prec@1 57.000 (51.649)	Prec@5 85.000 (81.272)
Epoch: [60][6160/9018]	Time 0.605 (0.623)	Data 0.014 (0.003)	Loss 1.8344 (1.8425)	Prec@1 52.500 (51.649)	Prec@5 82.000 (81.271)
Epoch: [60][6170/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6918 (1.8425)	Prec@1 53.500 (51.650)	Prec@5 83.500 (81.272)
Epoch: [60][6180/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8110 (1.8423)	Prec@1 52.500 (51.653)	Prec@5 82.500 (81.273)
Epoch: [60][6190/9018]	Time 0.616 (0.623)	Data 0.007 (0.003)	Loss 1.8809 (1.8423)	Prec@1 55.500 (51.649)	Prec@5 80.000 (81.273)
Epoch: [60][6200/9018]	Time 0.759 (0.623)	Data 0.001 (0.003)	Loss 1.7811 (1.8423)	Prec@1 52.500 (51.650)	Prec@5 83.000 (81.272)
Epoch: [60][6210/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7697 (1.8423)	Prec@1 57.000 (51.647)	Prec@5 81.500 (81.271)
Epoch: [60][6220/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.9138 (1.8423)	Prec@1 52.500 (51.647)	Prec@5 79.500 (81.273)
Epoch: [60][6230/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7576 (1.8422)	Prec@1 55.500 (51.648)	Prec@5 83.500 (81.274)
Epoch: [60][6240/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8097 (1.8422)	Prec@1 52.500 (51.650)	Prec@5 83.500 (81.275)
Epoch: [60][6250/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.8099 (1.8421)	Prec@1 50.500 (51.652)	Prec@5 84.500 (81.277)
Epoch: [60][6260/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.9075 (1.8420)	Prec@1 47.000 (51.653)	Prec@5 82.000 (81.277)
Epoch: [60][6270/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7039 (1.8419)	Prec@1 51.500 (51.654)	Prec@5 85.500 (81.279)
Epoch: [60][6280/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6481 (1.8418)	Prec@1 55.500 (51.656)	Prec@5 82.500 (81.280)
Epoch: [60][6290/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.9680 (1.8417)	Prec@1 48.500 (51.659)	Prec@5 76.000 (81.280)
Epoch: [60][6300/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.7573 (1.8417)	Prec@1 51.500 (51.661)	Prec@5 81.500 (81.280)
Epoch: [60][6310/9018]	Time 0.638 (0.623)	Data 0.002 (0.003)	Loss 1.8474 (1.8416)	Prec@1 48.000 (51.661)	Prec@5 82.000 (81.281)
Epoch: [60][6320/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7503 (1.8417)	Prec@1 51.500 (51.662)	Prec@5 81.000 (81.279)
Epoch: [60][6330/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.7399 (1.8416)	Prec@1 55.000 (51.663)	Prec@5 84.000 (81.282)
Epoch: [60][6340/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8929 (1.8415)	Prec@1 51.500 (51.666)	Prec@5 82.500 (81.284)
Epoch: [60][6350/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.8450 (1.8415)	Prec@1 53.000 (51.664)	Prec@5 81.000 (81.284)
Epoch: [60][6360/9018]	Time 0.663 (0.623)	Data 0.001 (0.003)	Loss 2.1430 (1.8416)	Prec@1 42.000 (51.661)	Prec@5 79.000 (81.283)
Epoch: [60][6370/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.9642 (1.8415)	Prec@1 50.000 (51.663)	Prec@5 80.500 (81.285)
Epoch: [60][6380/9018]	Time 0.640 (0.623)	Data 0.016 (0.003)	Loss 2.0042 (1.8416)	Prec@1 51.500 (51.665)	Prec@5 80.500 (81.284)
Epoch: [60][6390/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8650 (1.8416)	Prec@1 51.500 (51.665)	Prec@5 82.000 (81.284)
Epoch: [60][6400/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 2.1269 (1.8417)	Prec@1 49.500 (51.663)	Prec@5 79.000 (81.281)
Epoch: [60][6410/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7577 (1.8416)	Prec@1 53.000 (51.665)	Prec@5 81.500 (81.284)
Epoch: [60][6420/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7190 (1.8415)	Prec@1 53.500 (51.663)	Prec@5 84.500 (81.286)
Epoch: [60][6430/9018]	Time 0.638 (0.623)	Data 0.007 (0.003)	Loss 1.7881 (1.8415)	Prec@1 51.000 (51.664)	Prec@5 80.500 (81.287)
Epoch: [60][6440/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7704 (1.8415)	Prec@1 51.000 (51.663)	Prec@5 81.500 (81.287)
Epoch: [60][6450/9018]	Time 0.639 (0.623)	Data 0.006 (0.003)	Loss 1.8156 (1.8414)	Prec@1 49.500 (51.664)	Prec@5 84.500 (81.288)
Epoch: [60][6460/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.9707 (1.8414)	Prec@1 45.000 (51.664)	Prec@5 78.500 (81.289)
Epoch: [60][6470/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7909 (1.8415)	Prec@1 54.500 (51.662)	Prec@5 81.000 (81.288)
Epoch: [60][6480/9018]	Time 0.793 (0.623)	Data 0.001 (0.003)	Loss 1.5977 (1.8413)	Prec@1 55.000 (51.664)	Prec@5 88.000 (81.293)
Epoch: [60][6490/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6466 (1.8413)	Prec@1 53.000 (51.667)	Prec@5 86.000 (81.294)
Epoch: [60][6500/9018]	Time 0.648 (0.623)	Data 0.001 (0.003)	Loss 1.8142 (1.8413)	Prec@1 47.500 (51.667)	Prec@5 84.500 (81.294)
Epoch: [60][6510/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.6628 (1.8412)	Prec@1 56.500 (51.667)	Prec@5 83.500 (81.295)
Epoch: [60][6520/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7442 (1.8411)	Prec@1 53.000 (51.669)	Prec@5 82.000 (81.298)
Epoch: [60][6530/9018]	Time 0.744 (0.623)	Data 0.001 (0.003)	Loss 1.6148 (1.8411)	Prec@1 57.500 (51.669)	Prec@5 85.500 (81.298)
Epoch: [60][6540/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.8103 (1.8411)	Prec@1 53.500 (51.670)	Prec@5 83.000 (81.298)
Epoch: [60][6550/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7741 (1.8410)	Prec@1 54.000 (51.672)	Prec@5 84.000 (81.299)
Epoch: [60][6560/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7477 (1.8409)	Prec@1 53.500 (51.673)	Prec@5 78.500 (81.301)
Epoch: [60][6570/9018]	Time 0.604 (0.623)	Data 0.008 (0.003)	Loss 1.7752 (1.8410)	Prec@1 53.000 (51.673)	Prec@5 86.000 (81.299)
Epoch: [60][6580/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.8368 (1.8409)	Prec@1 53.000 (51.674)	Prec@5 83.000 (81.300)
Epoch: [60][6590/9018]	Time 0.613 (0.623)	Data 0.017 (0.003)	Loss 2.0004 (1.8409)	Prec@1 48.500 (51.676)	Prec@5 76.500 (81.300)
Epoch: [60][6600/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8106 (1.8408)	Prec@1 50.000 (51.678)	Prec@5 80.500 (81.302)
Epoch: [60][6610/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6577 (1.8408)	Prec@1 57.000 (51.677)	Prec@5 82.500 (81.304)
Epoch: [60][6620/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.9371 (1.8406)	Prec@1 52.000 (51.679)	Prec@5 80.500 (81.307)
Epoch: [60][6630/9018]	Time 0.653 (0.623)	Data 0.001 (0.003)	Loss 1.8501 (1.8406)	Prec@1 53.500 (51.679)	Prec@5 79.000 (81.307)
Epoch: [60][6640/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7708 (1.8407)	Prec@1 49.000 (51.678)	Prec@5 82.500 (81.306)
Epoch: [60][6650/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7579 (1.8407)	Prec@1 53.500 (51.679)	Prec@5 83.000 (81.306)
Epoch: [60][6660/9018]	Time 0.596 (0.623)	Data 0.015 (0.003)	Loss 1.8523 (1.8406)	Prec@1 51.000 (51.680)	Prec@5 82.500 (81.309)
Epoch: [60][6670/9018]	Time 0.589 (0.623)	Data 0.001 (0.003)	Loss 1.9581 (1.8406)	Prec@1 51.000 (51.680)	Prec@5 83.000 (81.308)
Epoch: [60][6680/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7472 (1.8405)	Prec@1 54.000 (51.682)	Prec@5 83.500 (81.311)
Epoch: [60][6690/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7548 (1.8405)	Prec@1 54.500 (51.683)	Prec@5 82.500 (81.312)
Epoch: [60][6700/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.8706 (1.8404)	Prec@1 51.000 (51.684)	Prec@5 81.500 (81.314)
Epoch: [60][6710/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 2.1501 (1.8405)	Prec@1 44.500 (51.681)	Prec@5 76.000 (81.312)
Epoch: [60][6720/9018]	Time 0.618 (0.623)	Data 0.002 (0.003)	Loss 1.8451 (1.8404)	Prec@1 54.000 (51.684)	Prec@5 79.500 (81.313)
Epoch: [60][6730/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7963 (1.8404)	Prec@1 51.000 (51.684)	Prec@5 82.000 (81.314)
Epoch: [60][6740/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8879 (1.8403)	Prec@1 47.000 (51.685)	Prec@5 81.500 (81.316)
Epoch: [60][6750/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8118 (1.8403)	Prec@1 53.500 (51.685)	Prec@5 84.000 (81.317)
Epoch: [60][6760/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.7404 (1.8403)	Prec@1 55.000 (51.686)	Prec@5 85.000 (81.318)
Epoch: [60][6770/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.6465 (1.8402)	Prec@1 59.000 (51.689)	Prec@5 84.500 (81.318)
Epoch: [60][6780/9018]	Time 0.655 (0.623)	Data 0.001 (0.003)	Loss 1.8731 (1.8402)	Prec@1 52.500 (51.691)	Prec@5 81.000 (81.320)
Epoch: [60][6790/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.8736 (1.8401)	Prec@1 49.000 (51.690)	Prec@5 79.500 (81.321)
Epoch: [60][6800/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.8666 (1.8402)	Prec@1 54.000 (51.691)	Prec@5 81.500 (81.321)
Epoch: [60][6810/9018]	Time 0.747 (0.623)	Data 0.001 (0.003)	Loss 1.7219 (1.8401)	Prec@1 52.500 (51.692)	Prec@5 82.000 (81.323)
Epoch: [60][6820/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7235 (1.8401)	Prec@1 55.000 (51.692)	Prec@5 77.500 (81.322)
Epoch: [60][6830/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.9620 (1.8401)	Prec@1 49.500 (51.691)	Prec@5 80.000 (81.321)
Epoch: [60][6840/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7175 (1.8400)	Prec@1 52.000 (51.693)	Prec@5 85.000 (81.322)
Epoch: [60][6850/9018]	Time 0.645 (0.623)	Data 0.007 (0.003)	Loss 1.6872 (1.8399)	Prec@1 51.500 (51.695)	Prec@5 85.500 (81.324)
Epoch: [60][6860/9018]	Time 0.761 (0.623)	Data 0.001 (0.003)	Loss 1.9673 (1.8399)	Prec@1 48.000 (51.695)	Prec@5 76.500 (81.323)
Epoch: [60][6870/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7847 (1.8400)	Prec@1 47.500 (51.694)	Prec@5 82.000 (81.323)
Epoch: [60][6880/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7647 (1.8399)	Prec@1 55.500 (51.695)	Prec@5 85.000 (81.325)
Epoch: [60][6890/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.8872 (1.8399)	Prec@1 48.500 (51.696)	Prec@5 81.000 (81.324)
Epoch: [60][6900/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8381 (1.8399)	Prec@1 49.500 (51.695)	Prec@5 79.500 (81.324)
Epoch: [60][6910/9018]	Time 0.605 (0.623)	Data 0.016 (0.003)	Loss 1.8846 (1.8398)	Prec@1 48.500 (51.696)	Prec@5 79.500 (81.327)
Epoch: [60][6920/9018]	Time 0.636 (0.623)	Data 0.014 (0.003)	Loss 1.9433 (1.8397)	Prec@1 55.000 (51.700)	Prec@5 80.500 (81.328)
Epoch: [60][6930/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7919 (1.8396)	Prec@1 53.500 (51.703)	Prec@5 84.500 (81.330)
Epoch: [60][6940/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.9120 (1.8397)	Prec@1 55.500 (51.700)	Prec@5 78.500 (81.328)
Epoch: [60][6950/9018]	Time 0.626 (0.623)	Data 0.002 (0.003)	Loss 1.9941 (1.8397)	Prec@1 44.500 (51.700)	Prec@5 79.000 (81.328)
Epoch: [60][6960/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6806 (1.8395)	Prec@1 58.500 (51.703)	Prec@5 83.000 (81.331)
Epoch: [60][6970/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6978 (1.8395)	Prec@1 55.500 (51.702)	Prec@5 84.500 (81.333)
Epoch: [60][6980/9018]	Time 0.629 (0.623)	Data 0.012 (0.003)	Loss 1.6200 (1.8394)	Prec@1 57.000 (51.701)	Prec@5 80.500 (81.334)
Epoch: [60][6990/9018]	Time 0.597 (0.623)	Data 0.004 (0.003)	Loss 1.7788 (1.8394)	Prec@1 50.500 (51.700)	Prec@5 83.000 (81.333)
Epoch: [60][7000/9018]	Time 0.599 (0.623)	Data 0.013 (0.003)	Loss 1.8429 (1.8394)	Prec@1 49.000 (51.700)	Prec@5 81.000 (81.332)
Epoch: [60][7010/9018]	Time 0.620 (0.623)	Data 0.015 (0.003)	Loss 1.7350 (1.8395)	Prec@1 51.500 (51.698)	Prec@5 85.000 (81.332)
Epoch: [60][7020/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6250 (1.8394)	Prec@1 60.000 (51.699)	Prec@5 84.500 (81.332)
Epoch: [60][7030/9018]	Time 0.612 (0.623)	Data 0.002 (0.003)	Loss 1.9780 (1.8394)	Prec@1 50.500 (51.697)	Prec@5 76.500 (81.332)
Epoch: [60][7040/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7754 (1.8394)	Prec@1 53.000 (51.700)	Prec@5 82.500 (81.333)
Epoch: [60][7050/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.7515 (1.8393)	Prec@1 54.000 (51.701)	Prec@5 84.000 (81.334)
Epoch: [60][7060/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.8175 (1.8392)	Prec@1 48.000 (51.702)	Prec@5 83.000 (81.336)
Epoch: [60][7070/9018]	Time 0.617 (0.623)	Data 0.013 (0.003)	Loss 1.5821 (1.8392)	Prec@1 60.500 (51.701)	Prec@5 86.000 (81.335)
Epoch: [60][7080/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7644 (1.8392)	Prec@1 52.000 (51.701)	Prec@5 82.500 (81.336)
Epoch: [60][7090/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7054 (1.8393)	Prec@1 55.500 (51.699)	Prec@5 84.000 (81.334)
Epoch: [60][7100/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7819 (1.8392)	Prec@1 53.500 (51.702)	Prec@5 82.500 (81.335)
Epoch: [60][7110/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8434 (1.8391)	Prec@1 51.000 (51.702)	Prec@5 84.000 (81.336)
Epoch: [60][7120/9018]	Time 0.623 (0.623)	Data 0.011 (0.003)	Loss 1.5064 (1.8391)	Prec@1 59.000 (51.705)	Prec@5 87.500 (81.337)
Epoch: [60][7130/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 2.1092 (1.8391)	Prec@1 42.500 (51.706)	Prec@5 80.000 (81.338)
Epoch: [60][7140/9018]	Time 0.763 (0.623)	Data 0.001 (0.003)	Loss 1.8549 (1.8391)	Prec@1 49.000 (51.705)	Prec@5 80.500 (81.336)
Epoch: [60][7150/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.5846 (1.8391)	Prec@1 55.500 (51.707)	Prec@5 87.000 (81.338)
Epoch: [60][7160/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.6701 (1.8391)	Prec@1 52.000 (51.705)	Prec@5 84.500 (81.338)
Epoch: [60][7170/9018]	Time 0.613 (0.623)	Data 0.002 (0.003)	Loss 1.7283 (1.8390)	Prec@1 58.000 (51.710)	Prec@5 83.500 (81.341)
Epoch: [60][7180/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.9103 (1.8389)	Prec@1 46.500 (51.710)	Prec@5 81.000 (81.343)
Epoch: [60][7190/9018]	Time 0.762 (0.623)	Data 0.001 (0.003)	Loss 1.8586 (1.8388)	Prec@1 51.500 (51.713)	Prec@5 81.000 (81.343)
Epoch: [60][7200/9018]	Time 0.646 (0.623)	Data 0.001 (0.003)	Loss 1.8781 (1.8388)	Prec@1 56.000 (51.714)	Prec@5 80.000 (81.344)
Epoch: [60][7210/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 2.0710 (1.8388)	Prec@1 49.000 (51.713)	Prec@5 79.500 (81.346)
Epoch: [60][7220/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.9570 (1.8387)	Prec@1 52.500 (51.715)	Prec@5 82.000 (81.348)
Epoch: [60][7230/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7701 (1.8386)	Prec@1 49.500 (51.717)	Prec@5 85.500 (81.350)
Epoch: [60][7240/9018]	Time 0.616 (0.623)	Data 0.007 (0.003)	Loss 1.8539 (1.8385)	Prec@1 55.000 (51.720)	Prec@5 82.000 (81.351)
Epoch: [60][7250/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7676 (1.8385)	Prec@1 51.500 (51.721)	Prec@5 83.500 (81.352)
Epoch: [60][7260/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7126 (1.8385)	Prec@1 60.000 (51.721)	Prec@5 83.500 (81.353)
Epoch: [60][7270/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.7732 (1.8384)	Prec@1 51.000 (51.724)	Prec@5 82.500 (81.355)
Epoch: [60][7280/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6710 (1.8383)	Prec@1 58.000 (51.728)	Prec@5 87.000 (81.358)
Epoch: [60][7290/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.9051 (1.8382)	Prec@1 49.500 (51.728)	Prec@5 80.500 (81.358)
Epoch: [60][7300/9018]	Time 0.623 (0.623)	Data 0.014 (0.003)	Loss 1.5420 (1.8382)	Prec@1 63.500 (51.730)	Prec@5 85.000 (81.359)
Epoch: [60][7310/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.9607 (1.8381)	Prec@1 45.500 (51.730)	Prec@5 81.000 (81.362)
Epoch: [60][7320/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7512 (1.8382)	Prec@1 54.000 (51.729)	Prec@5 78.500 (81.360)
Epoch: [60][7330/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.8380 (1.8382)	Prec@1 49.500 (51.730)	Prec@5 80.000 (81.359)
Epoch: [60][7340/9018]	Time 0.650 (0.623)	Data 0.001 (0.003)	Loss 1.7592 (1.8382)	Prec@1 53.500 (51.729)	Prec@5 83.000 (81.359)
Epoch: [60][7350/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6588 (1.8381)	Prec@1 54.500 (51.729)	Prec@5 85.000 (81.359)
Epoch: [60][7360/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 2.0432 (1.8382)	Prec@1 49.000 (51.728)	Prec@5 78.000 (81.358)
Epoch: [60][7370/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.6527 (1.8381)	Prec@1 56.000 (51.728)	Prec@5 81.500 (81.361)
Epoch: [60][7380/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.9096 (1.8381)	Prec@1 49.000 (51.729)	Prec@5 77.500 (81.360)
Epoch: [60][7390/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.9697 (1.8381)	Prec@1 46.000 (51.728)	Prec@5 82.000 (81.363)
Epoch: [60][7400/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.7143 (1.8381)	Prec@1 58.000 (51.729)	Prec@5 82.000 (81.361)
Epoch: [60][7410/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7632 (1.8380)	Prec@1 50.500 (51.729)	Prec@5 82.000 (81.362)
Epoch: [60][7420/9018]	Time 0.760 (0.623)	Data 0.008 (0.003)	Loss 1.8160 (1.8380)	Prec@1 51.500 (51.730)	Prec@5 80.500 (81.364)
Epoch: [60][7430/9018]	Time 0.599 (0.623)	Data 0.014 (0.003)	Loss 1.9222 (1.8380)	Prec@1 53.000 (51.730)	Prec@5 81.000 (81.364)
Epoch: [60][7440/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6624 (1.8379)	Prec@1 53.000 (51.733)	Prec@5 82.500 (81.365)
Epoch: [60][7450/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7376 (1.8379)	Prec@1 53.000 (51.733)	Prec@5 86.500 (81.367)
Epoch: [60][7460/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6358 (1.8378)	Prec@1 61.500 (51.736)	Prec@5 83.500 (81.367)
Epoch: [60][7470/9018]	Time 0.761 (0.623)	Data 0.024 (0.003)	Loss 2.0036 (1.8378)	Prec@1 53.000 (51.736)	Prec@5 75.000 (81.365)
Epoch: [60][7480/9018]	Time 0.636 (0.623)	Data 0.006 (0.003)	Loss 1.6352 (1.8378)	Prec@1 54.500 (51.736)	Prec@5 85.500 (81.367)
Epoch: [60][7490/9018]	Time 0.609 (0.623)	Data 0.015 (0.003)	Loss 1.8893 (1.8378)	Prec@1 50.500 (51.735)	Prec@5 82.000 (81.368)
Epoch: [60][7500/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.8719 (1.8377)	Prec@1 52.500 (51.736)	Prec@5 81.500 (81.369)
Epoch: [60][7510/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7335 (1.8376)	Prec@1 59.000 (51.740)	Prec@5 81.000 (81.370)
Epoch: [60][7520/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.8774 (1.8376)	Prec@1 49.000 (51.739)	Prec@5 82.000 (81.371)
Epoch: [60][7530/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7551 (1.8376)	Prec@1 51.500 (51.738)	Prec@5 82.500 (81.371)
Epoch: [60][7540/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 2.0026 (1.8375)	Prec@1 46.000 (51.741)	Prec@5 76.500 (81.373)
Epoch: [60][7550/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.8531 (1.8373)	Prec@1 51.000 (51.743)	Prec@5 82.500 (81.376)
Epoch: [60][7560/9018]	Time 0.615 (0.623)	Data 0.013 (0.003)	Loss 1.8388 (1.8373)	Prec@1 53.500 (51.743)	Prec@5 82.000 (81.375)
Epoch: [60][7570/9018]	Time 0.644 (0.623)	Data 0.001 (0.003)	Loss 1.8185 (1.8373)	Prec@1 55.500 (51.745)	Prec@5 81.500 (81.378)
Epoch: [60][7580/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8203 (1.8372)	Prec@1 51.500 (51.746)	Prec@5 82.500 (81.380)
Epoch: [60][7590/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 2.0705 (1.8372)	Prec@1 51.000 (51.745)	Prec@5 78.000 (81.380)
Epoch: [60][7600/9018]	Time 0.617 (0.623)	Data 0.028 (0.003)	Loss 1.7320 (1.8372)	Prec@1 57.000 (51.748)	Prec@5 79.500 (81.381)
Epoch: [60][7610/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.6323 (1.8371)	Prec@1 56.000 (51.748)	Prec@5 87.500 (81.383)
Epoch: [60][7620/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.9069 (1.8372)	Prec@1 54.500 (51.749)	Prec@5 76.500 (81.382)
Epoch: [60][7630/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.8760 (1.8371)	Prec@1 49.500 (51.750)	Prec@5 78.000 (81.383)
Epoch: [60][7640/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.8238 (1.8370)	Prec@1 51.000 (51.753)	Prec@5 80.500 (81.385)
Epoch: [60][7650/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7319 (1.8369)	Prec@1 52.000 (51.755)	Prec@5 84.000 (81.387)
Epoch: [60][7660/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.8706 (1.8369)	Prec@1 49.500 (51.756)	Prec@5 81.000 (81.388)
Epoch: [60][7670/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7235 (1.8369)	Prec@1 55.000 (51.756)	Prec@5 80.000 (81.387)
Epoch: [60][7680/9018]	Time 0.606 (0.623)	Data 0.012 (0.003)	Loss 1.8216 (1.8369)	Prec@1 52.000 (51.757)	Prec@5 84.000 (81.388)
Epoch: [60][7690/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7398 (1.8368)	Prec@1 52.500 (51.758)	Prec@5 84.500 (81.387)
Epoch: [60][7700/9018]	Time 0.649 (0.623)	Data 0.001 (0.003)	Loss 1.7854 (1.8368)	Prec@1 54.000 (51.760)	Prec@5 82.000 (81.388)
Epoch: [60][7710/9018]	Time 0.606 (0.623)	Data 0.016 (0.003)	Loss 2.0466 (1.8368)	Prec@1 50.500 (51.761)	Prec@5 75.000 (81.387)
Epoch: [60][7720/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.8499 (1.8367)	Prec@1 52.000 (51.764)	Prec@5 83.000 (81.387)
Epoch: [60][7730/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.8220 (1.8367)	Prec@1 53.000 (51.763)	Prec@5 82.500 (81.388)
Epoch: [60][7740/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7765 (1.8367)	Prec@1 48.000 (51.761)	Prec@5 84.500 (81.390)
Epoch: [60][7750/9018]	Time 0.748 (0.623)	Data 0.001 (0.003)	Loss 1.6175 (1.8365)	Prec@1 60.000 (51.764)	Prec@5 88.500 (81.392)
Epoch: [60][7760/9018]	Time 0.626 (0.623)	Data 0.016 (0.003)	Loss 1.7788 (1.8365)	Prec@1 55.000 (51.766)	Prec@5 82.000 (81.394)
Epoch: [60][7770/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.9773 (1.8364)	Prec@1 51.000 (51.769)	Prec@5 78.000 (81.395)
Epoch: [60][7780/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7761 (1.8363)	Prec@1 51.000 (51.771)	Prec@5 82.500 (81.398)
Epoch: [60][7790/9018]	Time 0.655 (0.623)	Data 0.001 (0.003)	Loss 1.6818 (1.8363)	Prec@1 54.000 (51.772)	Prec@5 85.000 (81.399)
Epoch: [60][7800/9018]	Time 0.782 (0.623)	Data 0.004 (0.003)	Loss 1.7041 (1.8363)	Prec@1 55.500 (51.773)	Prec@5 82.000 (81.398)
Epoch: [60][7810/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7804 (1.8362)	Prec@1 51.500 (51.776)	Prec@5 82.500 (81.400)
Epoch: [60][7820/9018]	Time 0.630 (0.623)	Data 0.002 (0.003)	Loss 1.7125 (1.8363)	Prec@1 55.000 (51.776)	Prec@5 84.000 (81.400)
Epoch: [60][7830/9018]	Time 0.614 (0.623)	Data 0.004 (0.003)	Loss 1.8399 (1.8362)	Prec@1 49.500 (51.777)	Prec@5 83.000 (81.402)
Epoch: [60][7840/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6279 (1.8362)	Prec@1 58.000 (51.776)	Prec@5 83.500 (81.401)
Epoch: [60][7850/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7738 (1.8362)	Prec@1 52.000 (51.777)	Prec@5 84.000 (81.403)
Epoch: [60][7860/9018]	Time 0.649 (0.623)	Data 0.005 (0.003)	Loss 1.8179 (1.8361)	Prec@1 54.000 (51.777)	Prec@5 83.000 (81.403)
Epoch: [60][7870/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7357 (1.8360)	Prec@1 56.500 (51.779)	Prec@5 81.500 (81.405)
Epoch: [60][7880/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8085 (1.8360)	Prec@1 54.500 (51.781)	Prec@5 81.000 (81.407)
Epoch: [60][7890/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.9095 (1.8359)	Prec@1 48.500 (51.782)	Prec@5 79.500 (81.408)
Epoch: [60][7900/9018]	Time 0.656 (0.623)	Data 0.001 (0.003)	Loss 1.7873 (1.8359)	Prec@1 52.000 (51.783)	Prec@5 78.000 (81.408)
Epoch: [60][7910/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 2.1389 (1.8359)	Prec@1 44.000 (51.780)	Prec@5 76.500 (81.408)
Epoch: [60][7920/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.9517 (1.8360)	Prec@1 48.000 (51.779)	Prec@5 79.500 (81.407)
Epoch: [60][7930/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.8525 (1.8360)	Prec@1 50.500 (51.777)	Prec@5 81.500 (81.407)
Epoch: [60][7940/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7825 (1.8360)	Prec@1 51.500 (51.779)	Prec@5 82.000 (81.408)
Epoch: [60][7950/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 2.0110 (1.8360)	Prec@1 50.500 (51.780)	Prec@5 80.500 (81.408)
Epoch: [60][7960/9018]	Time 0.586 (0.623)	Data 0.001 (0.003)	Loss 1.6750 (1.8359)	Prec@1 56.500 (51.783)	Prec@5 82.000 (81.409)
Epoch: [60][7970/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7878 (1.8358)	Prec@1 55.500 (51.786)	Prec@5 82.500 (81.411)
Epoch: [60][7980/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8796 (1.8357)	Prec@1 51.500 (51.786)	Prec@5 79.000 (81.411)
Epoch: [60][7990/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7766 (1.8356)	Prec@1 51.500 (51.788)	Prec@5 83.000 (81.412)
Epoch: [60][8000/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.7629 (1.8356)	Prec@1 50.500 (51.789)	Prec@5 82.500 (81.413)
Epoch: [60][8010/9018]	Time 0.612 (0.623)	Data 0.008 (0.003)	Loss 1.7368 (1.8355)	Prec@1 53.000 (51.789)	Prec@5 79.000 (81.415)
Epoch: [60][8020/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7489 (1.8355)	Prec@1 53.500 (51.789)	Prec@5 82.000 (81.415)
Epoch: [60][8030/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6944 (1.8354)	Prec@1 54.000 (51.791)	Prec@5 85.500 (81.418)
Epoch: [60][8040/9018]	Time 0.595 (0.623)	Data 0.008 (0.003)	Loss 1.8453 (1.8354)	Prec@1 47.500 (51.790)	Prec@5 79.500 (81.419)
Epoch: [60][8050/9018]	Time 0.611 (0.623)	Data 0.017 (0.003)	Loss 1.6900 (1.8354)	Prec@1 54.000 (51.789)	Prec@5 82.500 (81.417)
Epoch: [60][8060/9018]	Time 0.638 (0.623)	Data 0.002 (0.003)	Loss 1.8692 (1.8354)	Prec@1 51.000 (51.788)	Prec@5 78.000 (81.417)
Epoch: [60][8070/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7986 (1.8354)	Prec@1 52.500 (51.791)	Prec@5 81.500 (81.418)
Epoch: [60][8080/9018]	Time 0.786 (0.623)	Data 0.001 (0.003)	Loss 2.0361 (1.8353)	Prec@1 47.500 (51.792)	Prec@5 79.500 (81.419)
Epoch: [60][8090/9018]	Time 0.625 (0.623)	Data 0.009 (0.003)	Loss 1.8926 (1.8352)	Prec@1 47.500 (51.793)	Prec@5 83.000 (81.421)
Epoch: [60][8100/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.8821 (1.8352)	Prec@1 50.000 (51.793)	Prec@5 82.000 (81.421)
Epoch: [60][8110/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.7842 (1.8352)	Prec@1 55.500 (51.793)	Prec@5 84.000 (81.421)
Epoch: [60][8120/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.6272 (1.8352)	Prec@1 56.500 (51.794)	Prec@5 86.000 (81.422)
Epoch: [60][8130/9018]	Time 0.760 (0.623)	Data 0.001 (0.003)	Loss 1.6891 (1.8352)	Prec@1 55.000 (51.793)	Prec@5 84.500 (81.422)
Epoch: [60][8140/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 2.0187 (1.8352)	Prec@1 50.500 (51.793)	Prec@5 78.000 (81.422)
Epoch: [60][8150/9018]	Time 0.606 (0.623)	Data 0.013 (0.003)	Loss 1.7574 (1.8352)	Prec@1 52.000 (51.791)	Prec@5 85.000 (81.422)
Epoch: [60][8160/9018]	Time 0.625 (0.623)	Data 0.005 (0.003)	Loss 1.6611 (1.8352)	Prec@1 56.500 (51.792)	Prec@5 81.500 (81.421)
Epoch: [60][8170/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.8454 (1.8352)	Prec@1 53.500 (51.793)	Prec@5 80.500 (81.422)
Epoch: [60][8180/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.9841 (1.8352)	Prec@1 50.000 (51.792)	Prec@5 78.000 (81.422)
Epoch: [60][8190/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 2.1248 (1.8352)	Prec@1 48.500 (51.791)	Prec@5 75.000 (81.421)
Epoch: [60][8200/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.6633 (1.8351)	Prec@1 54.500 (51.793)	Prec@5 85.500 (81.423)
Epoch: [60][8210/9018]	Time 0.619 (0.623)	Data 0.013 (0.003)	Loss 1.7436 (1.8351)	Prec@1 51.000 (51.792)	Prec@5 83.000 (81.423)
Epoch: [60][8220/9018]	Time 0.636 (0.623)	Data 0.012 (0.003)	Loss 1.8165 (1.8351)	Prec@1 48.500 (51.791)	Prec@5 80.500 (81.422)
Epoch: [60][8230/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6200 (1.8350)	Prec@1 57.000 (51.792)	Prec@5 86.000 (81.423)
Epoch: [60][8240/9018]	Time 0.603 (0.623)	Data 0.007 (0.003)	Loss 1.6902 (1.8350)	Prec@1 57.500 (51.792)	Prec@5 86.500 (81.422)
Epoch: [60][8250/9018]	Time 0.612 (0.623)	Data 0.006 (0.003)	Loss 1.9399 (1.8351)	Prec@1 50.000 (51.790)	Prec@5 82.500 (81.421)
Epoch: [60][8260/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 2.0298 (1.8351)	Prec@1 47.000 (51.790)	Prec@5 79.500 (81.421)
Epoch: [60][8270/9018]	Time 0.607 (0.623)	Data 0.015 (0.003)	Loss 1.7211 (1.8351)	Prec@1 50.500 (51.792)	Prec@5 84.500 (81.420)
Epoch: [60][8280/9018]	Time 0.600 (0.623)	Data 0.012 (0.003)	Loss 1.8491 (1.8351)	Prec@1 54.500 (51.792)	Prec@5 80.000 (81.421)
Epoch: [60][8290/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7983 (1.8350)	Prec@1 52.000 (51.792)	Prec@5 78.500 (81.422)
Epoch: [60][8300/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.9283 (1.8350)	Prec@1 53.000 (51.794)	Prec@5 76.500 (81.421)
Epoch: [60][8310/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.9300 (1.8349)	Prec@1 51.000 (51.794)	Prec@5 80.000 (81.422)
Epoch: [60][8320/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5834 (1.8349)	Prec@1 62.500 (51.796)	Prec@5 83.500 (81.422)
Epoch: [60][8330/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7844 (1.8349)	Prec@1 52.500 (51.797)	Prec@5 79.500 (81.423)
Epoch: [60][8340/9018]	Time 0.602 (0.623)	Data 0.003 (0.003)	Loss 1.7396 (1.8348)	Prec@1 55.000 (51.797)	Prec@5 82.500 (81.424)
Epoch: [60][8350/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.9398 (1.8348)	Prec@1 49.000 (51.797)	Prec@5 80.500 (81.426)
Epoch: [60][8360/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.9442 (1.8348)	Prec@1 50.000 (51.798)	Prec@5 81.000 (81.426)
Epoch: [60][8370/9018]	Time 0.644 (0.623)	Data 0.001 (0.003)	Loss 1.6061 (1.8347)	Prec@1 55.500 (51.799)	Prec@5 89.000 (81.427)
Epoch: [60][8380/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7867 (1.8347)	Prec@1 48.000 (51.799)	Prec@5 83.000 (81.427)
Epoch: [60][8390/9018]	Time 0.602 (0.623)	Data 0.002 (0.003)	Loss 1.6298 (1.8346)	Prec@1 56.500 (51.799)	Prec@5 84.000 (81.427)
Epoch: [60][8400/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7354 (1.8346)	Prec@1 60.000 (51.802)	Prec@5 81.000 (81.428)
Epoch: [60][8410/9018]	Time 0.720 (0.623)	Data 0.012 (0.003)	Loss 1.7255 (1.8346)	Prec@1 54.000 (51.804)	Prec@5 83.500 (81.428)
Epoch: [60][8420/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.5727 (1.8345)	Prec@1 55.000 (51.805)	Prec@5 86.000 (81.429)
Epoch: [60][8430/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.5432 (1.8345)	Prec@1 62.000 (51.806)	Prec@5 86.500 (81.430)
Epoch: [60][8440/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7754 (1.8344)	Prec@1 57.000 (51.806)	Prec@5 83.500 (81.430)
Epoch: [60][8450/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7353 (1.8344)	Prec@1 55.000 (51.806)	Prec@5 81.500 (81.431)
Epoch: [60][8460/9018]	Time 0.764 (0.623)	Data 0.001 (0.003)	Loss 1.8207 (1.8344)	Prec@1 55.000 (51.807)	Prec@5 80.500 (81.431)
Epoch: [60][8470/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.9452 (1.8344)	Prec@1 49.500 (51.805)	Prec@5 78.000 (81.431)
Epoch: [60][8480/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 2.0268 (1.8344)	Prec@1 45.500 (51.805)	Prec@5 79.000 (81.431)
Epoch: [60][8490/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8488 (1.8344)	Prec@1 49.500 (51.806)	Prec@5 81.000 (81.432)
Epoch: [60][8500/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7956 (1.8345)	Prec@1 50.000 (51.804)	Prec@5 81.000 (81.432)
Epoch: [60][8510/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.8555 (1.8345)	Prec@1 48.500 (51.805)	Prec@5 80.500 (81.431)
Epoch: [60][8520/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.9462 (1.8344)	Prec@1 46.500 (51.805)	Prec@5 79.500 (81.432)
Epoch: [60][8530/9018]	Time 0.612 (0.623)	Data 0.008 (0.003)	Loss 1.8356 (1.8345)	Prec@1 52.000 (51.805)	Prec@5 79.000 (81.432)
Epoch: [60][8540/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7881 (1.8344)	Prec@1 49.000 (51.805)	Prec@5 85.000 (81.432)
Epoch: [60][8550/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 2.0530 (1.8344)	Prec@1 47.500 (51.806)	Prec@5 77.000 (81.431)
Epoch: [60][8560/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8050 (1.8344)	Prec@1 49.000 (51.808)	Prec@5 79.000 (81.432)
Epoch: [60][8570/9018]	Time 0.613 (0.623)	Data 0.013 (0.003)	Loss 2.0246 (1.8344)	Prec@1 46.500 (51.807)	Prec@5 77.500 (81.430)
Epoch: [60][8580/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.9801 (1.8344)	Prec@1 50.500 (51.807)	Prec@5 78.000 (81.431)
Epoch: [60][8590/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7803 (1.8344)	Prec@1 54.500 (51.810)	Prec@5 84.000 (81.431)
Epoch: [60][8600/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.8273 (1.8343)	Prec@1 51.500 (51.812)	Prec@5 80.500 (81.432)
Epoch: [60][8610/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8570 (1.8342)	Prec@1 52.500 (51.812)	Prec@5 79.000 (81.433)
Epoch: [60][8620/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.8017 (1.8341)	Prec@1 56.000 (51.814)	Prec@5 82.000 (81.435)
Epoch: [60][8630/9018]	Time 0.600 (0.623)	Data 0.007 (0.003)	Loss 1.8403 (1.8341)	Prec@1 51.500 (51.815)	Prec@5 84.500 (81.434)
Epoch: [60][8640/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7935 (1.8341)	Prec@1 52.500 (51.816)	Prec@5 81.000 (81.435)
Epoch: [60][8650/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8089 (1.8341)	Prec@1 51.500 (51.816)	Prec@5 81.500 (81.435)
Epoch: [60][8660/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.6951 (1.8340)	Prec@1 56.000 (51.818)	Prec@5 81.500 (81.436)
Epoch: [60][8670/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7694 (1.8340)	Prec@1 55.500 (51.818)	Prec@5 82.500 (81.436)
Epoch: [60][8680/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.7548 (1.8339)	Prec@1 52.500 (51.819)	Prec@5 82.500 (81.437)
Epoch: [60][8690/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6578 (1.8339)	Prec@1 56.500 (51.820)	Prec@5 85.000 (81.438)
Epoch: [60][8700/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6745 (1.8339)	Prec@1 55.000 (51.819)	Prec@5 83.000 (81.438)
Epoch: [60][8710/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.5991 (1.8338)	Prec@1 52.000 (51.820)	Prec@5 86.500 (81.440)
Epoch: [60][8720/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7873 (1.8337)	Prec@1 51.000 (51.821)	Prec@5 84.500 (81.443)
Epoch: [60][8730/9018]	Time 0.612 (0.623)	Data 0.002 (0.003)	Loss 1.7911 (1.8337)	Prec@1 57.000 (51.820)	Prec@5 80.500 (81.444)
Epoch: [60][8740/9018]	Time 0.705 (0.623)	Data 0.001 (0.003)	Loss 1.9030 (1.8337)	Prec@1 48.500 (51.818)	Prec@5 80.500 (81.442)
Epoch: [60][8750/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.9854 (1.8337)	Prec@1 50.500 (51.816)	Prec@5 79.500 (81.442)
Epoch: [60][8760/9018]	Time 0.624 (0.623)	Data 0.007 (0.003)	Loss 1.6713 (1.8337)	Prec@1 54.000 (51.816)	Prec@5 86.500 (81.442)
Epoch: [60][8770/9018]	Time 0.605 (0.623)	Data 0.013 (0.003)	Loss 1.7133 (1.8337)	Prec@1 54.000 (51.816)	Prec@5 81.500 (81.443)
Epoch: [60][8780/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.8162 (1.8336)	Prec@1 52.500 (51.818)	Prec@5 83.000 (81.444)
Epoch: [60][8790/9018]	Time 0.759 (0.623)	Data 0.008 (0.003)	Loss 1.9910 (1.8336)	Prec@1 51.500 (51.819)	Prec@5 80.000 (81.446)
Epoch: [60][8800/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 2.1717 (1.8336)	Prec@1 47.500 (51.819)	Prec@5 77.500 (81.445)
Epoch: [60][8810/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6195 (1.8336)	Prec@1 57.500 (51.819)	Prec@5 82.500 (81.445)
Epoch: [60][8820/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7773 (1.8335)	Prec@1 50.000 (51.819)	Prec@5 82.000 (81.445)
Epoch: [60][8830/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.5868 (1.8335)	Prec@1 56.000 (51.819)	Prec@5 83.500 (81.445)
Epoch: [60][8840/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.7167 (1.8335)	Prec@1 56.000 (51.819)	Prec@5 83.500 (81.445)
Epoch: [60][8850/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.5934 (1.8334)	Prec@1 58.000 (51.821)	Prec@5 83.500 (81.445)
Epoch: [60][8860/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.9217 (1.8334)	Prec@1 48.000 (51.823)	Prec@5 81.500 (81.447)
Epoch: [60][8870/9018]	Time 0.603 (0.623)	Data 0.005 (0.003)	Loss 1.8830 (1.8334)	Prec@1 52.500 (51.820)	Prec@5 79.000 (81.447)
Epoch: [60][8880/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.8239 (1.8334)	Prec@1 49.500 (51.820)	Prec@5 82.500 (81.448)
Epoch: [60][8890/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.7697 (1.8334)	Prec@1 52.000 (51.821)	Prec@5 82.500 (81.447)
Epoch: [60][8900/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7215 (1.8334)	Prec@1 57.000 (51.822)	Prec@5 82.000 (81.446)
Epoch: [60][8910/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.9402 (1.8335)	Prec@1 49.000 (51.821)	Prec@5 81.000 (81.444)
Epoch: [60][8920/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7788 (1.8335)	Prec@1 52.500 (51.821)	Prec@5 87.500 (81.445)
Epoch: [60][8930/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7795 (1.8335)	Prec@1 51.500 (51.822)	Prec@5 81.500 (81.444)
Epoch: [60][8940/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.9160 (1.8335)	Prec@1 47.000 (51.822)	Prec@5 81.500 (81.445)
Epoch: [60][8950/9018]	Time 0.649 (0.623)	Data 0.001 (0.003)	Loss 1.9063 (1.8335)	Prec@1 55.000 (51.821)	Prec@5 83.500 (81.446)
Epoch: [60][8960/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.8107 (1.8335)	Prec@1 51.500 (51.821)	Prec@5 79.000 (81.446)
Epoch: [60][8970/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7504 (1.8335)	Prec@1 56.500 (51.821)	Prec@5 85.500 (81.447)
Epoch: [60][8980/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6794 (1.8334)	Prec@1 58.500 (51.823)	Prec@5 83.500 (81.448)
Epoch: [60][8990/9018]	Time 0.646 (0.623)	Data 0.001 (0.003)	Loss 1.8132 (1.8334)	Prec@1 52.500 (51.822)	Prec@5 83.500 (81.447)
Epoch: [60][9000/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.5398 (1.8334)	Prec@1 59.000 (51.821)	Prec@5 85.000 (81.447)
Epoch: [60][9010/9018]	Time 0.592 (0.623)	Data 0.000 (0.003)	Loss 1.8149 (1.8334)	Prec@1 54.000 (51.823)	Prec@5 80.500 (81.449)
Test: [0/183]	Time 1.770 (1.770)	Loss 2.4528 (2.4528)	Prec@1 35.000 (35.000)	Prec@5 72.000 (72.000)
Test: [10/183]	Time 0.218 (0.360)	Loss 1.5258 (1.6091)	Prec@1 63.000 (57.318)	Prec@5 84.500 (86.000)
Test: [20/183]	Time 0.209 (0.290)	Loss 1.9214 (1.5761)	Prec@1 50.000 (57.714)	Prec@5 82.500 (86.381)
Test: [30/183]	Time 0.194 (0.260)	Loss 2.3027 (1.6048)	Prec@1 30.000 (56.048)	Prec@5 76.000 (86.210)
Test: [40/183]	Time 0.191 (0.248)	Loss 2.1734 (1.6005)	Prec@1 39.000 (56.805)	Prec@5 80.500 (85.683)
Test: [50/183]	Time 0.183 (0.240)	Loss 1.3962 (1.5719)	Prec@1 60.500 (57.520)	Prec@5 90.500 (86.010)
Test: [60/183]	Time 0.185 (0.234)	Loss 2.0642 (1.6364)	Prec@1 45.000 (55.369)	Prec@5 81.000 (85.385)
Test: [70/183]	Time 0.209 (0.232)	Loss 1.6137 (1.6216)	Prec@1 51.500 (55.577)	Prec@5 87.000 (85.803)
Test: [80/183]	Time 0.211 (0.229)	Loss 1.3951 (1.6063)	Prec@1 53.500 (55.735)	Prec@5 93.000 (85.920)
Test: [90/183]	Time 0.219 (0.226)	Loss 2.2564 (1.6044)	Prec@1 42.000 (55.813)	Prec@5 74.500 (85.934)
Test: [100/183]	Time 0.233 (0.224)	Loss 0.7518 (1.6069)	Prec@1 77.000 (55.738)	Prec@5 95.500 (85.911)
Test: [110/183]	Time 0.192 (0.223)	Loss 0.6887 (1.6112)	Prec@1 83.000 (55.626)	Prec@5 97.000 (85.802)
Test: [120/183]	Time 0.197 (0.222)	Loss 2.0281 (1.6205)	Prec@1 45.000 (55.351)	Prec@5 74.000 (85.719)
Test: [130/183]	Time 0.247 (0.220)	Loss 2.9857 (1.6270)	Prec@1 20.500 (55.237)	Prec@5 70.500 (85.813)
Test: [140/183]	Time 0.180 (0.219)	Loss 1.4467 (1.6185)	Prec@1 64.000 (55.472)	Prec@5 86.000 (85.940)
Test: [150/183]	Time 0.212 (0.218)	Loss 0.5428 (1.6171)	Prec@1 84.500 (55.520)	Prec@5 99.000 (85.967)
Test: [160/183]	Time 0.210 (0.218)	Loss 1.5896 (1.6130)	Prec@1 55.000 (55.773)	Prec@5 84.000 (85.988)
Test: [170/183]	Time 0.196 (0.217)	Loss 2.0546 (1.6309)	Prec@1 39.000 (55.292)	Prec@5 84.500 (85.743)
Test: [180/183]	Time 0.176 (0.216)	Loss 1.9333 (1.6372)	Prec@1 47.500 (55.221)	Prec@5 83.000 (85.638)
 * Prec@1 55.208 Prec@5 85.627
Epoch: [61][0/9018]	Time 3.493 (3.493)	Data 2.827 (2.827)	Loss 1.5576 (1.5576)	Prec@1 59.000 (59.000)	Prec@5 89.500 (89.500)
Epoch: [61][10/9018]	Time 0.613 (0.889)	Data 0.001 (0.259)	Loss 1.8541 (1.7287)	Prec@1 54.000 (55.364)	Prec@5 80.500 (82.591)
Epoch: [61][20/9018]	Time 0.611 (0.765)	Data 0.001 (0.138)	Loss 1.8577 (1.7836)	Prec@1 47.500 (52.667)	Prec@5 80.500 (81.905)
Epoch: [61][30/9018]	Time 0.591 (0.714)	Data 0.001 (0.093)	Loss 1.9172 (1.7740)	Prec@1 53.500 (52.790)	Prec@5 77.000 (82.065)
Epoch: [61][40/9018]	Time 0.618 (0.692)	Data 0.001 (0.072)	Loss 1.9184 (1.7661)	Prec@1 47.000 (52.817)	Prec@5 78.500 (82.256)
Epoch: [61][50/9018]	Time 0.606 (0.676)	Data 0.001 (0.058)	Loss 1.8530 (1.7789)	Prec@1 50.500 (52.618)	Prec@5 81.000 (82.176)
Epoch: [61][60/9018]	Time 0.602 (0.668)	Data 0.001 (0.049)	Loss 1.7571 (1.7775)	Prec@1 52.000 (52.607)	Prec@5 86.500 (82.139)
Epoch: [61][70/9018]	Time 0.600 (0.664)	Data 0.001 (0.042)	Loss 1.9973 (1.7803)	Prec@1 51.000 (52.655)	Prec@5 79.000 (82.049)
Epoch: [61][80/9018]	Time 0.611 (0.658)	Data 0.001 (0.038)	Loss 1.6945 (1.7838)	Prec@1 56.000 (52.432)	Prec@5 84.000 (81.969)
Epoch: [61][90/9018]	Time 0.599 (0.653)	Data 0.001 (0.034)	Loss 1.9093 (1.7846)	Prec@1 51.500 (52.533)	Prec@5 80.500 (81.918)
Epoch: [61][100/9018]	Time 0.626 (0.649)	Data 0.015 (0.031)	Loss 1.7927 (1.7770)	Prec@1 54.000 (52.752)	Prec@5 80.000 (82.069)
Epoch: [61][110/9018]	Time 0.619 (0.648)	Data 0.015 (0.028)	Loss 1.5684 (1.7770)	Prec@1 58.000 (52.851)	Prec@5 85.500 (82.050)
Epoch: [61][120/9018]	Time 0.632 (0.646)	Data 0.001 (0.026)	Loss 1.7736 (1.7800)	Prec@1 52.000 (52.702)	Prec@5 83.000 (81.975)
Epoch: [61][130/9018]	Time 0.593 (0.645)	Data 0.001 (0.025)	Loss 1.6984 (1.7796)	Prec@1 49.000 (52.588)	Prec@5 86.000 (82.042)
Epoch: [61][140/9018]	Time 0.609 (0.644)	Data 0.015 (0.023)	Loss 2.0012 (1.7799)	Prec@1 47.500 (52.635)	Prec@5 79.500 (82.021)
Epoch: [61][150/9018]	Time 0.620 (0.642)	Data 0.001 (0.022)	Loss 1.7596 (1.7809)	Prec@1 52.500 (52.646)	Prec@5 83.500 (82.063)
Epoch: [61][160/9018]	Time 0.611 (0.641)	Data 0.001 (0.020)	Loss 1.7766 (1.7785)	Prec@1 51.000 (52.696)	Prec@5 80.000 (82.084)
Epoch: [61][170/9018]	Time 0.610 (0.641)	Data 0.001 (0.019)	Loss 1.6992 (1.7790)	Prec@1 56.000 (52.670)	Prec@5 82.500 (82.067)
Epoch: [61][180/9018]	Time 0.602 (0.639)	Data 0.001 (0.018)	Loss 1.6917 (1.7805)	Prec@1 57.000 (52.624)	Prec@5 83.000 (82.055)
Epoch: [61][190/9018]	Time 0.616 (0.638)	Data 0.001 (0.018)	Loss 1.9111 (1.7775)	Prec@1 51.500 (52.723)	Prec@5 80.000 (82.123)
Epoch: [61][200/9018]	Time 0.741 (0.638)	Data 0.001 (0.017)	Loss 1.7127 (1.7779)	Prec@1 54.500 (52.729)	Prec@5 84.500 (82.142)
Epoch: [61][210/9018]	Time 0.596 (0.637)	Data 0.001 (0.016)	Loss 1.8369 (1.7769)	Prec@1 50.000 (52.739)	Prec@5 83.500 (82.213)
Epoch: [61][220/9018]	Time 0.615 (0.637)	Data 0.001 (0.016)	Loss 1.7801 (1.7784)	Prec@1 50.500 (52.624)	Prec@5 83.000 (82.238)
Epoch: [61][230/9018]	Time 0.622 (0.636)	Data 0.001 (0.015)	Loss 1.7766 (1.7815)	Prec@1 50.500 (52.569)	Prec@5 82.000 (82.197)
Epoch: [61][240/9018]	Time 0.621 (0.636)	Data 0.001 (0.015)	Loss 1.7933 (1.7822)	Prec@1 51.500 (52.575)	Prec@5 84.500 (82.230)
Epoch: [61][250/9018]	Time 0.734 (0.635)	Data 0.001 (0.014)	Loss 1.7824 (1.7829)	Prec@1 52.500 (52.566)	Prec@5 80.000 (82.227)
Epoch: [61][260/9018]	Time 0.597 (0.635)	Data 0.001 (0.014)	Loss 1.6657 (1.7838)	Prec@1 52.500 (52.571)	Prec@5 83.000 (82.192)
Epoch: [61][270/9018]	Time 0.621 (0.635)	Data 0.011 (0.013)	Loss 1.6391 (1.7829)	Prec@1 60.500 (52.625)	Prec@5 85.000 (82.203)
Epoch: [61][280/9018]	Time 0.615 (0.634)	Data 0.015 (0.013)	Loss 1.5852 (1.7822)	Prec@1 58.000 (52.687)	Prec@5 84.000 (82.231)
Epoch: [61][290/9018]	Time 0.640 (0.634)	Data 0.001 (0.013)	Loss 1.7929 (1.7825)	Prec@1 52.000 (52.701)	Prec@5 82.000 (82.216)
Epoch: [61][300/9018]	Time 0.592 (0.634)	Data 0.001 (0.012)	Loss 1.9050 (1.7837)	Prec@1 49.500 (52.666)	Prec@5 81.000 (82.208)
Epoch: [61][310/9018]	Time 0.610 (0.633)	Data 0.001 (0.012)	Loss 1.7703 (1.7850)	Prec@1 51.500 (52.648)	Prec@5 83.500 (82.198)
Epoch: [61][320/9018]	Time 0.610 (0.633)	Data 0.001 (0.012)	Loss 1.7188 (1.7852)	Prec@1 56.500 (52.671)	Prec@5 85.000 (82.201)
Epoch: [61][330/9018]	Time 0.614 (0.632)	Data 0.001 (0.011)	Loss 1.8469 (1.7853)	Prec@1 50.500 (52.619)	Prec@5 81.000 (82.239)
Epoch: [61][340/9018]	Time 0.615 (0.632)	Data 0.001 (0.011)	Loss 1.8852 (1.7840)	Prec@1 48.500 (52.639)	Prec@5 79.000 (82.258)
Epoch: [61][350/9018]	Time 0.612 (0.632)	Data 0.001 (0.011)	Loss 1.6405 (1.7853)	Prec@1 58.500 (52.651)	Prec@5 80.000 (82.221)
Epoch: [61][360/9018]	Time 0.610 (0.631)	Data 0.001 (0.011)	Loss 1.8410 (1.7847)	Prec@1 48.500 (52.673)	Prec@5 82.000 (82.231)
Epoch: [61][370/9018]	Time 0.616 (0.631)	Data 0.001 (0.010)	Loss 1.7832 (1.7861)	Prec@1 52.000 (52.647)	Prec@5 82.000 (82.206)
Epoch: [61][380/9018]	Time 0.592 (0.631)	Data 0.001 (0.010)	Loss 1.8951 (1.7867)	Prec@1 54.000 (52.668)	Prec@5 79.000 (82.180)
Epoch: [61][390/9018]	Time 0.590 (0.631)	Data 0.001 (0.010)	Loss 1.5713 (1.7864)	Prec@1 57.000 (52.697)	Prec@5 87.500 (82.166)
Epoch: [61][400/9018]	Time 0.602 (0.631)	Data 0.006 (0.010)	Loss 1.5935 (1.7867)	Prec@1 56.000 (52.668)	Prec@5 84.500 (82.145)
Epoch: [61][410/9018]	Time 0.607 (0.630)	Data 0.001 (0.010)	Loss 1.6864 (1.7859)	Prec@1 53.500 (52.681)	Prec@5 84.500 (82.125)
Epoch: [61][420/9018]	Time 0.618 (0.630)	Data 0.001 (0.009)	Loss 1.5952 (1.7871)	Prec@1 54.500 (52.669)	Prec@5 86.000 (82.129)
Epoch: [61][430/9018]	Time 0.624 (0.630)	Data 0.001 (0.009)	Loss 1.7076 (1.7885)	Prec@1 54.500 (52.651)	Prec@5 83.500 (82.089)
Epoch: [61][440/9018]	Time 0.626 (0.630)	Data 0.001 (0.009)	Loss 2.0558 (1.7888)	Prec@1 45.000 (52.616)	Prec@5 80.500 (82.104)
Epoch: [61][450/9018]	Time 0.647 (0.630)	Data 0.001 (0.009)	Loss 1.8652 (1.7881)	Prec@1 48.500 (52.629)	Prec@5 84.000 (82.123)
Epoch: [61][460/9018]	Time 0.606 (0.630)	Data 0.001 (0.009)	Loss 1.7646 (1.7875)	Prec@1 55.500 (52.678)	Prec@5 81.000 (82.133)
Epoch: [61][470/9018]	Time 0.592 (0.629)	Data 0.001 (0.009)	Loss 1.9740 (1.7864)	Prec@1 51.500 (52.694)	Prec@5 80.000 (82.154)
Epoch: [61][480/9018]	Time 0.627 (0.629)	Data 0.001 (0.008)	Loss 1.8189 (1.7866)	Prec@1 54.500 (52.689)	Prec@5 81.000 (82.147)
Epoch: [61][490/9018]	Time 0.621 (0.629)	Data 0.001 (0.008)	Loss 1.6652 (1.7871)	Prec@1 58.500 (52.684)	Prec@5 84.000 (82.150)
Epoch: [61][500/9018]	Time 0.605 (0.629)	Data 0.001 (0.008)	Loss 2.1060 (1.7867)	Prec@1 50.500 (52.690)	Prec@5 75.500 (82.165)
Epoch: [61][510/9018]	Time 0.642 (0.629)	Data 0.005 (0.008)	Loss 1.7395 (1.7857)	Prec@1 55.500 (52.721)	Prec@5 81.500 (82.167)
Epoch: [61][520/9018]	Time 0.628 (0.629)	Data 0.001 (0.008)	Loss 1.8642 (1.7857)	Prec@1 52.000 (52.751)	Prec@5 83.500 (82.177)
Epoch: [61][530/9018]	Time 0.731 (0.629)	Data 0.001 (0.008)	Loss 1.6305 (1.7866)	Prec@1 56.500 (52.729)	Prec@5 85.000 (82.169)
Epoch: [61][540/9018]	Time 0.598 (0.629)	Data 0.001 (0.008)	Loss 1.7811 (1.7882)	Prec@1 52.500 (52.700)	Prec@5 83.000 (82.157)
Epoch: [61][550/9018]	Time 0.625 (0.628)	Data 0.001 (0.008)	Loss 1.7750 (1.7890)	Prec@1 54.000 (52.672)	Prec@5 82.500 (82.141)
Epoch: [61][560/9018]	Time 0.613 (0.628)	Data 0.001 (0.008)	Loss 1.6078 (1.7880)	Prec@1 54.000 (52.687)	Prec@5 84.500 (82.160)
Epoch: [61][570/9018]	Time 0.627 (0.628)	Data 0.001 (0.007)	Loss 1.8968 (1.7887)	Prec@1 53.500 (52.665)	Prec@5 79.000 (82.153)
Epoch: [61][580/9018]	Time 0.718 (0.628)	Data 0.001 (0.007)	Loss 1.9060 (1.7881)	Prec@1 51.000 (52.687)	Prec@5 82.000 (82.151)
Epoch: [61][590/9018]	Time 0.604 (0.628)	Data 0.001 (0.007)	Loss 1.9912 (1.7894)	Prec@1 47.500 (52.651)	Prec@5 82.500 (82.139)
Epoch: [61][600/9018]	Time 0.614 (0.628)	Data 0.001 (0.007)	Loss 1.6671 (1.7892)	Prec@1 55.500 (52.668)	Prec@5 85.000 (82.141)
Epoch: [61][610/9018]	Time 0.607 (0.628)	Data 0.001 (0.007)	Loss 1.8007 (1.7903)	Prec@1 55.000 (52.650)	Prec@5 82.000 (82.119)
Epoch: [61][620/9018]	Time 0.614 (0.628)	Data 0.001 (0.007)	Loss 1.6744 (1.7889)	Prec@1 57.000 (52.671)	Prec@5 84.000 (82.142)
Epoch: [61][630/9018]	Time 0.642 (0.628)	Data 0.001 (0.007)	Loss 1.7375 (1.7887)	Prec@1 58.000 (52.683)	Prec@5 81.000 (82.130)
Epoch: [61][640/9018]	Time 0.635 (0.628)	Data 0.001 (0.007)	Loss 1.6769 (1.7893)	Prec@1 57.000 (52.697)	Prec@5 87.000 (82.127)
Epoch: [61][650/9018]	Time 0.592 (0.628)	Data 0.001 (0.007)	Loss 1.7451 (1.7897)	Prec@1 54.500 (52.693)	Prec@5 83.000 (82.114)
Epoch: [61][660/9018]	Time 0.636 (0.627)	Data 0.001 (0.007)	Loss 1.6441 (1.7895)	Prec@1 53.500 (52.718)	Prec@5 85.500 (82.102)
Epoch: [61][670/9018]	Time 0.632 (0.627)	Data 0.001 (0.007)	Loss 1.7489 (1.7886)	Prec@1 56.000 (52.730)	Prec@5 81.500 (82.122)
Epoch: [61][680/9018]	Time 0.617 (0.627)	Data 0.004 (0.007)	Loss 1.8131 (1.7893)	Prec@1 51.000 (52.695)	Prec@5 84.000 (82.123)
Epoch: [61][690/9018]	Time 0.618 (0.627)	Data 0.001 (0.007)	Loss 1.7627 (1.7894)	Prec@1 49.000 (52.695)	Prec@5 84.000 (82.114)
Epoch: [61][700/9018]	Time 0.616 (0.627)	Data 0.017 (0.007)	Loss 1.7730 (1.7897)	Prec@1 54.000 (52.682)	Prec@5 81.000 (82.098)
Epoch: [61][710/9018]	Time 0.622 (0.627)	Data 0.001 (0.007)	Loss 1.8445 (1.7892)	Prec@1 49.000 (52.674)	Prec@5 82.500 (82.117)
Epoch: [61][720/9018]	Time 0.604 (0.627)	Data 0.001 (0.006)	Loss 1.7013 (1.7889)	Prec@1 50.500 (52.668)	Prec@5 85.500 (82.125)
Epoch: [61][730/9018]	Time 0.659 (0.627)	Data 0.016 (0.006)	Loss 1.6548 (1.7886)	Prec@1 57.500 (52.675)	Prec@5 86.500 (82.131)
Epoch: [61][740/9018]	Time 0.627 (0.627)	Data 0.001 (0.006)	Loss 1.8059 (1.7892)	Prec@1 49.000 (52.659)	Prec@5 81.000 (82.116)
Epoch: [61][750/9018]	Time 0.595 (0.627)	Data 0.004 (0.006)	Loss 1.8836 (1.7892)	Prec@1 51.000 (52.664)	Prec@5 85.500 (82.123)
Epoch: [61][760/9018]	Time 0.655 (0.627)	Data 0.017 (0.006)	Loss 1.7821 (1.7898)	Prec@1 54.000 (52.660)	Prec@5 83.000 (82.116)
Epoch: [61][770/9018]	Time 0.621 (0.627)	Data 0.001 (0.006)	Loss 1.7433 (1.7895)	Prec@1 55.500 (52.672)	Prec@5 83.000 (82.128)
Epoch: [61][780/9018]	Time 0.630 (0.627)	Data 0.001 (0.006)	Loss 1.9330 (1.7900)	Prec@1 46.000 (52.662)	Prec@5 80.500 (82.116)
Epoch: [61][790/9018]	Time 0.653 (0.627)	Data 0.001 (0.006)	Loss 1.7754 (1.7907)	Prec@1 52.500 (52.640)	Prec@5 79.000 (82.094)
Epoch: [61][800/9018]	Time 0.620 (0.627)	Data 0.001 (0.006)	Loss 1.7274 (1.7909)	Prec@1 53.500 (52.639)	Prec@5 84.500 (82.084)
Epoch: [61][810/9018]	Time 0.606 (0.627)	Data 0.001 (0.006)	Loss 1.8612 (1.7913)	Prec@1 53.000 (52.627)	Prec@5 83.000 (82.084)
Epoch: [61][820/9018]	Time 0.614 (0.627)	Data 0.001 (0.006)	Loss 1.7398 (1.7912)	Prec@1 53.500 (52.636)	Prec@5 85.000 (82.082)
Epoch: [61][830/9018]	Time 0.603 (0.627)	Data 0.001 (0.006)	Loss 1.6480 (1.7915)	Prec@1 52.000 (52.617)	Prec@5 85.500 (82.078)
Epoch: [61][840/9018]	Time 0.619 (0.627)	Data 0.001 (0.006)	Loss 1.7532 (1.7914)	Prec@1 54.500 (52.625)	Prec@5 82.000 (82.078)
Epoch: [61][850/9018]	Time 0.602 (0.627)	Data 0.001 (0.006)	Loss 1.7827 (1.7916)	Prec@1 56.000 (52.630)	Prec@5 83.000 (82.076)
Epoch: [61][860/9018]	Time 0.749 (0.627)	Data 0.001 (0.006)	Loss 1.8951 (1.7912)	Prec@1 51.000 (52.630)	Prec@5 84.000 (82.100)
Epoch: [61][870/9018]	Time 0.609 (0.627)	Data 0.015 (0.006)	Loss 1.6958 (1.7910)	Prec@1 58.000 (52.650)	Prec@5 82.500 (82.104)
Epoch: [61][880/9018]	Time 0.617 (0.627)	Data 0.001 (0.006)	Loss 1.7570 (1.7908)	Prec@1 55.000 (52.663)	Prec@5 82.000 (82.112)
Epoch: [61][890/9018]	Time 0.614 (0.627)	Data 0.001 (0.006)	Loss 1.9597 (1.7907)	Prec@1 52.500 (52.675)	Prec@5 76.000 (82.112)
Epoch: [61][900/9018]	Time 0.601 (0.627)	Data 0.001 (0.006)	Loss 1.8136 (1.7904)	Prec@1 53.500 (52.688)	Prec@5 84.000 (82.114)
Epoch: [61][910/9018]	Time 0.741 (0.627)	Data 0.001 (0.006)	Loss 1.8034 (1.7905)	Prec@1 49.000 (52.681)	Prec@5 80.000 (82.109)
Epoch: [61][920/9018]	Time 0.607 (0.627)	Data 0.001 (0.006)	Loss 2.0377 (1.7909)	Prec@1 42.000 (52.662)	Prec@5 79.000 (82.104)
Epoch: [61][930/9018]	Time 0.615 (0.627)	Data 0.001 (0.006)	Loss 1.8051 (1.7906)	Prec@1 55.000 (52.676)	Prec@5 80.000 (82.106)
Epoch: [61][940/9018]	Time 0.616 (0.627)	Data 0.001 (0.006)	Loss 1.9265 (1.7906)	Prec@1 53.000 (52.684)	Prec@5 78.500 (82.106)
Epoch: [61][950/9018]	Time 0.613 (0.627)	Data 0.001 (0.006)	Loss 1.7975 (1.7906)	Prec@1 52.500 (52.687)	Prec@5 81.500 (82.100)
Epoch: [61][960/9018]	Time 0.637 (0.627)	Data 0.001 (0.006)	Loss 1.7921 (1.7912)	Prec@1 54.000 (52.679)	Prec@5 80.500 (82.085)
Epoch: [61][970/9018]	Time 0.596 (0.627)	Data 0.001 (0.006)	Loss 1.6181 (1.7913)	Prec@1 60.500 (52.681)	Prec@5 85.500 (82.078)
Epoch: [61][980/9018]	Time 0.608 (0.627)	Data 0.001 (0.006)	Loss 1.9585 (1.7917)	Prec@1 47.500 (52.671)	Prec@5 79.500 (82.071)
Epoch: [61][990/9018]	Time 0.603 (0.627)	Data 0.001 (0.006)	Loss 1.9910 (1.7915)	Prec@1 51.000 (52.686)	Prec@5 76.000 (82.081)
Epoch: [61][1000/9018]	Time 0.611 (0.627)	Data 0.001 (0.005)	Loss 2.0826 (1.7914)	Prec@1 44.500 (52.678)	Prec@5 74.500 (82.091)
Epoch: [61][1010/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 1.7699 (1.7906)	Prec@1 52.000 (52.697)	Prec@5 85.000 (82.107)
Epoch: [61][1020/9018]	Time 0.641 (0.627)	Data 0.001 (0.005)	Loss 2.0068 (1.7913)	Prec@1 48.500 (52.695)	Prec@5 75.000 (82.087)
Epoch: [61][1030/9018]	Time 0.621 (0.627)	Data 0.001 (0.005)	Loss 1.6453 (1.7911)	Prec@1 59.000 (52.697)	Prec@5 86.000 (82.081)
Epoch: [61][1040/9018]	Time 0.610 (0.626)	Data 0.001 (0.005)	Loss 1.6107 (1.7912)	Prec@1 59.500 (52.707)	Prec@5 84.500 (82.072)
Epoch: [61][1050/9018]	Time 0.612 (0.627)	Data 0.001 (0.005)	Loss 1.9348 (1.7921)	Prec@1 48.000 (52.683)	Prec@5 80.500 (82.057)
Epoch: [61][1060/9018]	Time 0.615 (0.626)	Data 0.003 (0.005)	Loss 1.8617 (1.7921)	Prec@1 54.000 (52.691)	Prec@5 80.000 (82.061)
Epoch: [61][1070/9018]	Time 0.625 (0.626)	Data 0.001 (0.005)	Loss 1.8251 (1.7922)	Prec@1 54.000 (52.676)	Prec@5 80.500 (82.061)
Epoch: [61][1080/9018]	Time 0.617 (0.626)	Data 0.001 (0.005)	Loss 1.8618 (1.7926)	Prec@1 49.500 (52.672)	Prec@5 81.000 (82.062)
Epoch: [61][1090/9018]	Time 0.605 (0.626)	Data 0.001 (0.005)	Loss 1.7737 (1.7926)	Prec@1 57.500 (52.671)	Prec@5 84.000 (82.064)
Epoch: [61][1100/9018]	Time 0.619 (0.626)	Data 0.001 (0.005)	Loss 1.6598 (1.7931)	Prec@1 62.000 (52.660)	Prec@5 84.500 (82.059)
Epoch: [61][1110/9018]	Time 0.634 (0.626)	Data 0.001 (0.005)	Loss 1.8923 (1.7934)	Prec@1 49.500 (52.662)	Prec@5 81.000 (82.057)
Epoch: [61][1120/9018]	Time 0.611 (0.626)	Data 0.001 (0.005)	Loss 1.6815 (1.7929)	Prec@1 53.000 (52.680)	Prec@5 88.500 (82.074)
Epoch: [61][1130/9018]	Time 0.610 (0.626)	Data 0.001 (0.005)	Loss 1.9652 (1.7928)	Prec@1 45.500 (52.668)	Prec@5 81.500 (82.080)
Epoch: [61][1140/9018]	Time 0.600 (0.626)	Data 0.001 (0.005)	Loss 1.8908 (1.7930)	Prec@1 52.500 (52.656)	Prec@5 79.500 (82.082)
Epoch: [61][1150/9018]	Time 0.613 (0.626)	Data 0.001 (0.005)	Loss 1.6234 (1.7928)	Prec@1 56.000 (52.658)	Prec@5 87.000 (82.089)
Epoch: [61][1160/9018]	Time 0.596 (0.626)	Data 0.001 (0.005)	Loss 1.7320 (1.7929)	Prec@1 59.500 (52.660)	Prec@5 81.000 (82.084)
Epoch: [61][1170/9018]	Time 0.604 (0.626)	Data 0.001 (0.005)	Loss 1.9112 (1.7932)	Prec@1 47.500 (52.641)	Prec@5 81.000 (82.082)
Epoch: [61][1180/9018]	Time 0.639 (0.626)	Data 0.002 (0.005)	Loss 1.7494 (1.7928)	Prec@1 56.500 (52.661)	Prec@5 82.000 (82.085)
Epoch: [61][1190/9018]	Time 0.719 (0.626)	Data 0.001 (0.005)	Loss 1.5988 (1.7926)	Prec@1 55.000 (52.669)	Prec@5 87.000 (82.083)
Epoch: [61][1200/9018]	Time 0.599 (0.626)	Data 0.001 (0.005)	Loss 1.7904 (1.7922)	Prec@1 53.500 (52.673)	Prec@5 84.000 (82.097)
Epoch: [61][1210/9018]	Time 0.647 (0.626)	Data 0.001 (0.005)	Loss 1.7101 (1.7919)	Prec@1 54.500 (52.681)	Prec@5 80.500 (82.106)
Epoch: [61][1220/9018]	Time 0.640 (0.626)	Data 0.017 (0.005)	Loss 1.6770 (1.7924)	Prec@1 56.000 (52.674)	Prec@5 82.000 (82.096)
Epoch: [61][1230/9018]	Time 0.614 (0.626)	Data 0.001 (0.005)	Loss 1.9189 (1.7929)	Prec@1 53.000 (52.668)	Prec@5 81.000 (82.084)
Epoch: [61][1240/9018]	Time 0.739 (0.626)	Data 0.010 (0.005)	Loss 1.5780 (1.7926)	Prec@1 60.500 (52.672)	Prec@5 83.000 (82.092)
Epoch: [61][1250/9018]	Time 0.608 (0.626)	Data 0.001 (0.005)	Loss 1.9919 (1.7924)	Prec@1 48.000 (52.680)	Prec@5 80.500 (82.095)
Epoch: [61][1260/9018]	Time 0.624 (0.626)	Data 0.001 (0.005)	Loss 1.7151 (1.7926)	Prec@1 54.000 (52.672)	Prec@5 81.000 (82.090)
Epoch: [61][1270/9018]	Time 0.613 (0.626)	Data 0.015 (0.005)	Loss 1.8961 (1.7932)	Prec@1 47.000 (52.657)	Prec@5 81.000 (82.084)
Epoch: [61][1280/9018]	Time 0.611 (0.626)	Data 0.001 (0.005)	Loss 1.9154 (1.7929)	Prec@1 49.000 (52.656)	Prec@5 80.000 (82.085)
Epoch: [61][1290/9018]	Time 0.647 (0.626)	Data 0.001 (0.005)	Loss 1.7741 (1.7926)	Prec@1 53.000 (52.658)	Prec@5 82.500 (82.095)
Epoch: [61][1300/9018]	Time 0.608 (0.626)	Data 0.001 (0.005)	Loss 1.8085 (1.7930)	Prec@1 54.000 (52.645)	Prec@5 81.500 (82.093)
Epoch: [61][1310/9018]	Time 0.610 (0.626)	Data 0.001 (0.005)	Loss 1.8555 (1.7929)	Prec@1 55.000 (52.649)	Prec@5 81.500 (82.096)
Epoch: [61][1320/9018]	Time 0.634 (0.626)	Data 0.001 (0.005)	Loss 1.8094 (1.7927)	Prec@1 52.500 (52.660)	Prec@5 82.000 (82.097)
Epoch: [61][1330/9018]	Time 0.605 (0.626)	Data 0.001 (0.005)	Loss 1.6048 (1.7922)	Prec@1 57.500 (52.674)	Prec@5 85.000 (82.104)
Epoch: [61][1340/9018]	Time 0.628 (0.626)	Data 0.001 (0.005)	Loss 2.0254 (1.7928)	Prec@1 47.000 (52.650)	Prec@5 77.500 (82.096)
Epoch: [61][1350/9018]	Time 0.606 (0.626)	Data 0.014 (0.005)	Loss 1.5922 (1.7930)	Prec@1 55.500 (52.643)	Prec@5 89.000 (82.097)
Epoch: [61][1360/9018]	Time 0.607 (0.626)	Data 0.003 (0.005)	Loss 1.9595 (1.7931)	Prec@1 54.500 (52.651)	Prec@5 79.500 (82.096)
Epoch: [61][1370/9018]	Time 0.613 (0.626)	Data 0.001 (0.005)	Loss 1.7582 (1.7932)	Prec@1 51.500 (52.646)	Prec@5 85.000 (82.096)
Epoch: [61][1380/9018]	Time 0.648 (0.626)	Data 0.001 (0.005)	Loss 2.0626 (1.7936)	Prec@1 43.500 (52.627)	Prec@5 79.500 (82.090)
Epoch: [61][1390/9018]	Time 0.615 (0.626)	Data 0.001 (0.005)	Loss 1.8095 (1.7935)	Prec@1 52.500 (52.626)	Prec@5 81.500 (82.086)
Epoch: [61][1400/9018]	Time 0.619 (0.626)	Data 0.001 (0.005)	Loss 1.7970 (1.7934)	Prec@1 53.000 (52.620)	Prec@5 81.000 (82.086)
Epoch: [61][1410/9018]	Time 0.620 (0.626)	Data 0.001 (0.005)	Loss 1.8852 (1.7934)	Prec@1 50.000 (52.624)	Prec@5 78.000 (82.082)
Epoch: [61][1420/9018]	Time 0.639 (0.626)	Data 0.001 (0.005)	Loss 1.9392 (1.7936)	Prec@1 50.000 (52.627)	Prec@5 81.500 (82.082)
Epoch: [61][1430/9018]	Time 0.604 (0.626)	Data 0.001 (0.005)	Loss 1.8576 (1.7934)	Prec@1 52.500 (52.635)	Prec@5 81.500 (82.090)
Epoch: [61][1440/9018]	Time 0.605 (0.626)	Data 0.001 (0.005)	Loss 1.6893 (1.7933)	Prec@1 53.000 (52.635)	Prec@5 85.000 (82.091)
Epoch: [61][1450/9018]	Time 0.593 (0.626)	Data 0.001 (0.005)	Loss 1.8134 (1.7934)	Prec@1 54.000 (52.625)	Prec@5 82.000 (82.089)
Epoch: [61][1460/9018]	Time 0.624 (0.626)	Data 0.002 (0.005)	Loss 1.5960 (1.7928)	Prec@1 58.500 (52.644)	Prec@5 82.500 (82.096)
Epoch: [61][1470/9018]	Time 0.635 (0.626)	Data 0.001 (0.005)	Loss 1.7503 (1.7929)	Prec@1 52.500 (52.635)	Prec@5 84.500 (82.096)
Epoch: [61][1480/9018]	Time 0.586 (0.626)	Data 0.004 (0.005)	Loss 1.7055 (1.7930)	Prec@1 49.500 (52.620)	Prec@5 84.000 (82.094)
Epoch: [61][1490/9018]	Time 0.609 (0.626)	Data 0.001 (0.005)	Loss 1.9278 (1.7933)	Prec@1 51.500 (52.621)	Prec@5 81.500 (82.094)
Epoch: [61][1500/9018]	Time 0.624 (0.626)	Data 0.014 (0.005)	Loss 1.5554 (1.7933)	Prec@1 54.500 (52.615)	Prec@5 89.000 (82.095)
Epoch: [61][1510/9018]	Time 0.593 (0.626)	Data 0.001 (0.005)	Loss 1.9191 (1.7931)	Prec@1 47.000 (52.617)	Prec@5 81.000 (82.100)
Epoch: [61][1520/9018]	Time 0.783 (0.626)	Data 0.001 (0.005)	Loss 1.6818 (1.7929)	Prec@1 54.000 (52.621)	Prec@5 82.000 (82.102)
Epoch: [61][1530/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.9752 (1.7928)	Prec@1 51.000 (52.625)	Prec@5 82.000 (82.105)
Epoch: [61][1540/9018]	Time 0.611 (0.626)	Data 0.019 (0.004)	Loss 1.6390 (1.7930)	Prec@1 57.000 (52.623)	Prec@5 85.000 (82.106)
Epoch: [61][1550/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.7155 (1.7931)	Prec@1 57.000 (52.619)	Prec@5 83.500 (82.112)
Epoch: [61][1560/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.6282 (1.7929)	Prec@1 59.000 (52.618)	Prec@5 87.500 (82.114)
Epoch: [61][1570/9018]	Time 0.753 (0.626)	Data 0.001 (0.004)	Loss 1.7602 (1.7931)	Prec@1 54.500 (52.613)	Prec@5 82.000 (82.114)
Epoch: [61][1580/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.7626 (1.7924)	Prec@1 55.000 (52.624)	Prec@5 81.500 (82.122)
Epoch: [61][1590/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.8312 (1.7926)	Prec@1 51.000 (52.621)	Prec@5 81.000 (82.116)
Epoch: [61][1600/9018]	Time 0.594 (0.626)	Data 0.008 (0.004)	Loss 1.6127 (1.7926)	Prec@1 60.000 (52.627)	Prec@5 85.000 (82.111)
Epoch: [61][1610/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.8832 (1.7929)	Prec@1 50.500 (52.622)	Prec@5 82.000 (82.107)
Epoch: [61][1620/9018]	Time 0.597 (0.626)	Data 0.001 (0.004)	Loss 2.0849 (1.7932)	Prec@1 49.000 (52.614)	Prec@5 78.500 (82.104)
Epoch: [61][1630/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.7403 (1.7930)	Prec@1 53.000 (52.618)	Prec@5 83.000 (82.105)
Epoch: [61][1640/9018]	Time 0.631 (0.626)	Data 0.001 (0.004)	Loss 1.8672 (1.7930)	Prec@1 49.500 (52.618)	Prec@5 81.000 (82.102)
Epoch: [61][1650/9018]	Time 0.598 (0.626)	Data 0.001 (0.004)	Loss 1.8039 (1.7930)	Prec@1 55.500 (52.620)	Prec@5 82.000 (82.105)
Epoch: [61][1660/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 1.5712 (1.7930)	Prec@1 52.000 (52.614)	Prec@5 88.000 (82.102)
Epoch: [61][1670/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.7597 (1.7930)	Prec@1 51.000 (52.614)	Prec@5 81.000 (82.101)
Epoch: [61][1680/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.6360 (1.7932)	Prec@1 57.500 (52.619)	Prec@5 84.500 (82.097)
Epoch: [61][1690/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.9390 (1.7933)	Prec@1 46.000 (52.614)	Prec@5 79.000 (82.097)
Epoch: [61][1700/9018]	Time 0.610 (0.626)	Data 0.007 (0.004)	Loss 1.8184 (1.7935)	Prec@1 52.000 (52.616)	Prec@5 79.000 (82.091)
Epoch: [61][1710/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.5226 (1.7935)	Prec@1 59.000 (52.619)	Prec@5 85.500 (82.090)
Epoch: [61][1720/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.7740 (1.7936)	Prec@1 52.500 (52.621)	Prec@5 83.000 (82.087)
Epoch: [61][1730/9018]	Time 0.607 (0.626)	Data 0.016 (0.004)	Loss 1.7761 (1.7936)	Prec@1 55.500 (52.626)	Prec@5 80.500 (82.084)
Epoch: [61][1740/9018]	Time 0.649 (0.626)	Data 0.012 (0.004)	Loss 1.7843 (1.7938)	Prec@1 52.500 (52.613)	Prec@5 84.000 (82.083)
Epoch: [61][1750/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.9180 (1.7942)	Prec@1 50.500 (52.605)	Prec@5 82.500 (82.075)
Epoch: [61][1760/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.8449 (1.7942)	Prec@1 56.000 (52.610)	Prec@5 79.000 (82.074)
Epoch: [61][1770/9018]	Time 0.647 (0.626)	Data 0.003 (0.004)	Loss 1.6799 (1.7940)	Prec@1 57.000 (52.621)	Prec@5 83.500 (82.073)
Epoch: [61][1780/9018]	Time 0.591 (0.626)	Data 0.001 (0.004)	Loss 1.7226 (1.7939)	Prec@1 54.500 (52.615)	Prec@5 82.500 (82.079)
Epoch: [61][1790/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.5361 (1.7936)	Prec@1 60.000 (52.624)	Prec@5 84.000 (82.078)
Epoch: [61][1800/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.9658 (1.7936)	Prec@1 46.000 (52.622)	Prec@5 77.000 (82.072)
Epoch: [61][1810/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.8927 (1.7939)	Prec@1 55.500 (52.612)	Prec@5 80.500 (82.067)
Epoch: [61][1820/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.8997 (1.7938)	Prec@1 48.500 (52.612)	Prec@5 81.000 (82.068)
Epoch: [61][1830/9018]	Time 0.609 (0.626)	Data 0.013 (0.004)	Loss 1.7421 (1.7937)	Prec@1 53.000 (52.619)	Prec@5 86.500 (82.070)
Epoch: [61][1840/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 2.2009 (1.7941)	Prec@1 46.500 (52.607)	Prec@5 73.500 (82.062)
Epoch: [61][1850/9018]	Time 0.735 (0.626)	Data 0.001 (0.004)	Loss 1.8645 (1.7945)	Prec@1 52.000 (52.600)	Prec@5 79.500 (82.054)
Epoch: [61][1860/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.5889 (1.7945)	Prec@1 59.500 (52.598)	Prec@5 82.500 (82.052)
Epoch: [61][1870/9018]	Time 0.620 (0.626)	Data 0.017 (0.004)	Loss 1.6847 (1.7944)	Prec@1 55.000 (52.603)	Prec@5 86.500 (82.048)
Epoch: [61][1880/9018]	Time 0.598 (0.626)	Data 0.001 (0.004)	Loss 1.9240 (1.7947)	Prec@1 51.000 (52.593)	Prec@5 78.000 (82.043)
Epoch: [61][1890/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 1.6724 (1.7944)	Prec@1 56.000 (52.600)	Prec@5 83.000 (82.049)
Epoch: [61][1900/9018]	Time 0.715 (0.626)	Data 0.015 (0.004)	Loss 1.8277 (1.7944)	Prec@1 54.000 (52.598)	Prec@5 83.000 (82.052)
Epoch: [61][1910/9018]	Time 0.598 (0.626)	Data 0.001 (0.004)	Loss 1.8789 (1.7947)	Prec@1 50.000 (52.588)	Prec@5 78.500 (82.040)
Epoch: [61][1920/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.7913 (1.7946)	Prec@1 56.000 (52.599)	Prec@5 82.000 (82.037)
Epoch: [61][1930/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.5968 (1.7946)	Prec@1 55.500 (52.602)	Prec@5 87.500 (82.034)
Epoch: [61][1940/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.7058 (1.7948)	Prec@1 55.500 (52.604)	Prec@5 81.000 (82.028)
Epoch: [61][1950/9018]	Time 0.644 (0.626)	Data 0.012 (0.004)	Loss 1.6991 (1.7947)	Prec@1 56.000 (52.601)	Prec@5 86.000 (82.030)
Epoch: [61][1960/9018]	Time 0.654 (0.626)	Data 0.014 (0.004)	Loss 1.4941 (1.7945)	Prec@1 54.500 (52.604)	Prec@5 87.500 (82.034)
Epoch: [61][1970/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.9817 (1.7947)	Prec@1 47.000 (52.593)	Prec@5 81.000 (82.033)
Epoch: [61][1980/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.8401 (1.7947)	Prec@1 49.000 (52.593)	Prec@5 82.500 (82.038)
Epoch: [61][1990/9018]	Time 0.613 (0.626)	Data 0.015 (0.004)	Loss 1.9522 (1.7950)	Prec@1 49.000 (52.584)	Prec@5 81.500 (82.038)
Epoch: [61][2000/9018]	Time 0.674 (0.626)	Data 0.012 (0.004)	Loss 1.8817 (1.7948)	Prec@1 52.000 (52.589)	Prec@5 82.000 (82.040)
Epoch: [61][2010/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 2.0313 (1.7949)	Prec@1 51.000 (52.585)	Prec@5 78.000 (82.034)
Epoch: [61][2020/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.7139 (1.7953)	Prec@1 59.500 (52.581)	Prec@5 82.000 (82.024)
Epoch: [61][2030/9018]	Time 0.616 (0.626)	Data 0.018 (0.004)	Loss 1.7709 (1.7953)	Prec@1 55.500 (52.581)	Prec@5 83.000 (82.024)
Epoch: [61][2040/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.7049 (1.7955)	Prec@1 52.500 (52.583)	Prec@5 83.500 (82.022)
Epoch: [61][2050/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 2.0161 (1.7956)	Prec@1 50.000 (52.580)	Prec@5 75.000 (82.020)
Epoch: [61][2060/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.5427 (1.7955)	Prec@1 57.000 (52.583)	Prec@5 88.500 (82.023)
Epoch: [61][2070/9018]	Time 0.636 (0.626)	Data 0.001 (0.004)	Loss 1.7479 (1.7954)	Prec@1 51.000 (52.578)	Prec@5 78.500 (82.015)
Epoch: [61][2080/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.9205 (1.7957)	Prec@1 51.000 (52.573)	Prec@5 79.500 (82.008)
Epoch: [61][2090/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.7836 (1.7955)	Prec@1 51.000 (52.582)	Prec@5 83.500 (82.011)
Epoch: [61][2100/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.8533 (1.7957)	Prec@1 52.000 (52.581)	Prec@5 83.000 (82.008)
Epoch: [61][2110/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8441 (1.7954)	Prec@1 56.500 (52.587)	Prec@5 80.500 (82.014)
Epoch: [61][2120/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.6298 (1.7954)	Prec@1 56.000 (52.590)	Prec@5 85.000 (82.012)
Epoch: [61][2130/9018]	Time 0.614 (0.625)	Data 0.016 (0.004)	Loss 1.6421 (1.7955)	Prec@1 54.000 (52.590)	Prec@5 85.000 (82.012)
Epoch: [61][2140/9018]	Time 0.629 (0.625)	Data 0.013 (0.004)	Loss 1.7957 (1.7956)	Prec@1 52.500 (52.587)	Prec@5 83.000 (82.011)
Epoch: [61][2150/9018]	Time 0.642 (0.625)	Data 0.005 (0.004)	Loss 1.6751 (1.7955)	Prec@1 58.500 (52.590)	Prec@5 86.500 (82.013)
Epoch: [61][2160/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.5726 (1.7956)	Prec@1 57.500 (52.588)	Prec@5 87.000 (82.012)
Epoch: [61][2170/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.7900 (1.7956)	Prec@1 50.500 (52.586)	Prec@5 82.500 (82.011)
Epoch: [61][2180/9018]	Time 0.718 (0.625)	Data 0.001 (0.004)	Loss 1.7335 (1.7955)	Prec@1 56.500 (52.591)	Prec@5 83.500 (82.012)
Epoch: [61][2190/9018]	Time 0.619 (0.625)	Data 0.009 (0.004)	Loss 1.9434 (1.7955)	Prec@1 49.000 (52.591)	Prec@5 79.000 (82.015)
Epoch: [61][2200/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.6115 (1.7954)	Prec@1 57.000 (52.589)	Prec@5 83.500 (82.019)
Epoch: [61][2210/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.8417 (1.7955)	Prec@1 51.000 (52.589)	Prec@5 82.500 (82.013)
Epoch: [61][2220/9018]	Time 0.640 (0.625)	Data 0.001 (0.004)	Loss 1.8540 (1.7956)	Prec@1 48.000 (52.588)	Prec@5 80.500 (82.014)
Epoch: [61][2230/9018]	Time 0.718 (0.625)	Data 0.001 (0.004)	Loss 1.8298 (1.7958)	Prec@1 47.500 (52.577)	Prec@5 81.000 (82.010)
Epoch: [61][2240/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.8348 (1.7957)	Prec@1 50.500 (52.580)	Prec@5 85.500 (82.016)
Epoch: [61][2250/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.7402 (1.7959)	Prec@1 56.000 (52.576)	Prec@5 83.000 (82.010)
Epoch: [61][2260/9018]	Time 0.614 (0.625)	Data 0.005 (0.004)	Loss 1.9249 (1.7961)	Prec@1 51.000 (52.576)	Prec@5 81.500 (82.007)
Epoch: [61][2270/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.8756 (1.7960)	Prec@1 50.000 (52.580)	Prec@5 79.000 (82.007)
Epoch: [61][2280/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.9391 (1.7962)	Prec@1 49.500 (52.575)	Prec@5 80.500 (82.005)
Epoch: [61][2290/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.6732 (1.7961)	Prec@1 55.500 (52.577)	Prec@5 83.500 (82.003)
Epoch: [61][2300/9018]	Time 0.611 (0.625)	Data 0.002 (0.004)	Loss 1.7405 (1.7960)	Prec@1 52.000 (52.579)	Prec@5 84.000 (82.006)
Epoch: [61][2310/9018]	Time 0.640 (0.625)	Data 0.001 (0.004)	Loss 1.7984 (1.7960)	Prec@1 53.500 (52.579)	Prec@5 80.500 (82.010)
Epoch: [61][2320/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.9501 (1.7961)	Prec@1 47.500 (52.582)	Prec@5 81.500 (82.010)
Epoch: [61][2330/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.8649 (1.7960)	Prec@1 50.000 (52.585)	Prec@5 81.500 (82.007)
Epoch: [61][2340/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.8536 (1.7961)	Prec@1 50.000 (52.584)	Prec@5 81.500 (82.005)
Epoch: [61][2350/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6141 (1.7964)	Prec@1 63.500 (52.581)	Prec@5 84.000 (81.999)
Epoch: [61][2360/9018]	Time 0.605 (0.625)	Data 0.016 (0.004)	Loss 1.7482 (1.7962)	Prec@1 56.000 (52.586)	Prec@5 82.500 (82.004)
Epoch: [61][2370/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.7331 (1.7958)	Prec@1 57.000 (52.592)	Prec@5 79.500 (82.006)
Epoch: [61][2380/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.8160 (1.7960)	Prec@1 53.000 (52.594)	Prec@5 79.500 (82.008)
Epoch: [61][2390/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.8205 (1.7959)	Prec@1 54.000 (52.598)	Prec@5 82.000 (82.005)
Epoch: [61][2400/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.6051 (1.7957)	Prec@1 56.500 (52.601)	Prec@5 85.000 (82.007)
Epoch: [61][2410/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.6966 (1.7959)	Prec@1 57.000 (52.596)	Prec@5 85.000 (82.009)
Epoch: [61][2420/9018]	Time 0.599 (0.625)	Data 0.005 (0.004)	Loss 1.8306 (1.7961)	Prec@1 53.000 (52.599)	Prec@5 81.500 (82.006)
Epoch: [61][2430/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.9636 (1.7961)	Prec@1 50.500 (52.597)	Prec@5 78.500 (82.009)
Epoch: [61][2440/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.8327 (1.7961)	Prec@1 51.000 (52.594)	Prec@5 80.500 (82.008)
Epoch: [61][2450/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.9302 (1.7961)	Prec@1 46.000 (52.589)	Prec@5 81.000 (82.009)
Epoch: [61][2460/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.7941 (1.7960)	Prec@1 53.500 (52.586)	Prec@5 83.500 (82.014)
Epoch: [61][2470/9018]	Time 0.651 (0.625)	Data 0.001 (0.004)	Loss 2.0596 (1.7960)	Prec@1 51.500 (52.585)	Prec@5 79.500 (82.013)
Epoch: [61][2480/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6930 (1.7958)	Prec@1 54.000 (52.584)	Prec@5 83.500 (82.022)
Epoch: [61][2490/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.5528 (1.7958)	Prec@1 57.000 (52.581)	Prec@5 86.500 (82.024)
Epoch: [61][2500/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.6252 (1.7958)	Prec@1 53.000 (52.586)	Prec@5 80.500 (82.025)
Epoch: [61][2510/9018]	Time 0.758 (0.625)	Data 0.001 (0.004)	Loss 1.6964 (1.7957)	Prec@1 55.500 (52.589)	Prec@5 83.000 (82.026)
Epoch: [61][2520/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6807 (1.7958)	Prec@1 54.000 (52.585)	Prec@5 86.500 (82.024)
Epoch: [61][2530/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.7863 (1.7959)	Prec@1 52.000 (52.583)	Prec@5 85.500 (82.023)
Epoch: [61][2540/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.4492 (1.7959)	Prec@1 58.500 (52.585)	Prec@5 85.000 (82.023)
Epoch: [61][2550/9018]	Time 0.660 (0.625)	Data 0.001 (0.004)	Loss 1.8008 (1.7960)	Prec@1 54.000 (52.584)	Prec@5 82.500 (82.024)
Epoch: [61][2560/9018]	Time 0.767 (0.625)	Data 0.002 (0.004)	Loss 1.8148 (1.7960)	Prec@1 53.500 (52.587)	Prec@5 84.000 (82.025)
Epoch: [61][2570/9018]	Time 0.641 (0.625)	Data 0.001 (0.004)	Loss 1.8367 (1.7960)	Prec@1 56.000 (52.587)	Prec@5 79.500 (82.023)
Epoch: [61][2580/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.8115 (1.7957)	Prec@1 53.000 (52.593)	Prec@5 84.000 (82.029)
Epoch: [61][2590/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.8053 (1.7956)	Prec@1 50.500 (52.592)	Prec@5 81.500 (82.030)
Epoch: [61][2600/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.6140 (1.7955)	Prec@1 59.500 (52.594)	Prec@5 83.500 (82.035)
Epoch: [61][2610/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.6552 (1.7954)	Prec@1 50.500 (52.597)	Prec@5 84.500 (82.036)
Epoch: [61][2620/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.5961 (1.7952)	Prec@1 56.000 (52.598)	Prec@5 87.000 (82.039)
Epoch: [61][2630/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.9290 (1.7955)	Prec@1 48.000 (52.591)	Prec@5 79.500 (82.039)
Epoch: [61][2640/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.8541 (1.7954)	Prec@1 55.500 (52.599)	Prec@5 79.000 (82.042)
Epoch: [61][2650/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.7450 (1.7953)	Prec@1 50.500 (52.599)	Prec@5 82.500 (82.048)
Epoch: [61][2660/9018]	Time 0.675 (0.625)	Data 0.028 (0.004)	Loss 1.6816 (1.7954)	Prec@1 54.500 (52.596)	Prec@5 85.000 (82.047)
Epoch: [61][2670/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.7466 (1.7955)	Prec@1 51.500 (52.596)	Prec@5 80.000 (82.047)
Epoch: [61][2680/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7775 (1.7953)	Prec@1 54.500 (52.599)	Prec@5 79.000 (82.047)
Epoch: [61][2690/9018]	Time 0.610 (0.625)	Data 0.002 (0.004)	Loss 1.8796 (1.7956)	Prec@1 46.500 (52.596)	Prec@5 82.500 (82.045)
Epoch: [61][2700/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.7290 (1.7956)	Prec@1 52.000 (52.596)	Prec@5 84.500 (82.043)
Epoch: [61][2710/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.6312 (1.7953)	Prec@1 55.500 (52.600)	Prec@5 86.500 (82.052)
Epoch: [61][2720/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.8704 (1.7956)	Prec@1 48.000 (52.592)	Prec@5 84.000 (82.052)
Epoch: [61][2730/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.7515 (1.7954)	Prec@1 52.000 (52.598)	Prec@5 85.000 (82.053)
Epoch: [61][2740/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 1.8410 (1.7951)	Prec@1 51.000 (52.601)	Prec@5 80.500 (82.058)
Epoch: [61][2750/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.7144 (1.7950)	Prec@1 55.500 (52.603)	Prec@5 83.500 (82.058)
Epoch: [61][2760/9018]	Time 0.649 (0.625)	Data 0.001 (0.004)	Loss 1.7436 (1.7949)	Prec@1 54.000 (52.609)	Prec@5 85.000 (82.058)
Epoch: [61][2770/9018]	Time 0.649 (0.625)	Data 0.001 (0.004)	Loss 1.9486 (1.7951)	Prec@1 52.500 (52.606)	Prec@5 78.500 (82.057)
Epoch: [61][2780/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 2.0305 (1.7951)	Prec@1 50.000 (52.603)	Prec@5 76.000 (82.053)
Epoch: [61][2790/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 2.1437 (1.7951)	Prec@1 45.000 (52.605)	Prec@5 74.000 (82.054)
Epoch: [61][2800/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.5911 (1.7950)	Prec@1 55.000 (52.608)	Prec@5 87.500 (82.054)
Epoch: [61][2810/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.7034 (1.7949)	Prec@1 59.000 (52.616)	Prec@5 83.000 (82.054)
Epoch: [61][2820/9018]	Time 0.629 (0.625)	Data 0.016 (0.004)	Loss 1.8709 (1.7949)	Prec@1 53.000 (52.623)	Prec@5 79.500 (82.054)
Epoch: [61][2830/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.7729 (1.7950)	Prec@1 55.500 (52.624)	Prec@5 86.500 (82.052)
Epoch: [61][2840/9018]	Time 0.778 (0.625)	Data 0.001 (0.004)	Loss 1.6228 (1.7948)	Prec@1 55.500 (52.628)	Prec@5 82.500 (82.051)
Epoch: [61][2850/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.9216 (1.7949)	Prec@1 48.500 (52.625)	Prec@5 80.000 (82.046)
Epoch: [61][2860/9018]	Time 0.625 (0.625)	Data 0.011 (0.004)	Loss 1.7874 (1.7950)	Prec@1 56.000 (52.623)	Prec@5 84.000 (82.044)
Epoch: [61][2870/9018]	Time 0.604 (0.625)	Data 0.004 (0.004)	Loss 1.8566 (1.7950)	Prec@1 52.500 (52.624)	Prec@5 81.000 (82.043)
Epoch: [61][2880/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.7921 (1.7950)	Prec@1 50.000 (52.619)	Prec@5 81.500 (82.043)
Epoch: [61][2890/9018]	Time 0.720 (0.625)	Data 0.016 (0.004)	Loss 1.7427 (1.7950)	Prec@1 53.500 (52.618)	Prec@5 83.500 (82.042)
Epoch: [61][2900/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.8320 (1.7951)	Prec@1 51.000 (52.614)	Prec@5 82.500 (82.044)
Epoch: [61][2910/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.8372 (1.7950)	Prec@1 51.000 (52.617)	Prec@5 82.500 (82.044)
Epoch: [61][2920/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.7727 (1.7950)	Prec@1 54.500 (52.619)	Prec@5 82.500 (82.048)
Epoch: [61][2930/9018]	Time 0.609 (0.625)	Data 0.003 (0.004)	Loss 1.7912 (1.7950)	Prec@1 54.500 (52.621)	Prec@5 81.500 (82.048)
Epoch: [61][2940/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.8069 (1.7950)	Prec@1 50.500 (52.621)	Prec@5 84.000 (82.048)
Epoch: [61][2950/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.9030 (1.7952)	Prec@1 51.000 (52.618)	Prec@5 83.000 (82.045)
Epoch: [61][2960/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.7692 (1.7953)	Prec@1 54.500 (52.619)	Prec@5 83.000 (82.041)
Epoch: [61][2970/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 2.0017 (1.7952)	Prec@1 47.500 (52.625)	Prec@5 76.500 (82.042)
Epoch: [61][2980/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.6941 (1.7952)	Prec@1 49.500 (52.626)	Prec@5 86.000 (82.044)
Epoch: [61][2990/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.8589 (1.7952)	Prec@1 50.000 (52.623)	Prec@5 82.000 (82.045)
Epoch: [61][3000/9018]	Time 0.632 (0.625)	Data 0.004 (0.004)	Loss 1.8143 (1.7950)	Prec@1 52.000 (52.629)	Prec@5 82.000 (82.049)
Epoch: [61][3010/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.6242 (1.7946)	Prec@1 48.500 (52.632)	Prec@5 83.000 (82.056)
Epoch: [61][3020/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.8427 (1.7945)	Prec@1 53.500 (52.635)	Prec@5 82.000 (82.056)
Epoch: [61][3030/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.9687 (1.7944)	Prec@1 47.500 (52.636)	Prec@5 79.000 (82.057)
Epoch: [61][3040/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.8049 (1.7944)	Prec@1 53.500 (52.637)	Prec@5 79.000 (82.059)
Epoch: [61][3050/9018]	Time 0.625 (0.625)	Data 0.015 (0.004)	Loss 1.6274 (1.7942)	Prec@1 55.000 (52.638)	Prec@5 87.000 (82.063)
Epoch: [61][3060/9018]	Time 0.647 (0.625)	Data 0.014 (0.004)	Loss 2.0597 (1.7943)	Prec@1 44.500 (52.639)	Prec@5 77.500 (82.060)
Epoch: [61][3070/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.6572 (1.7944)	Prec@1 53.500 (52.637)	Prec@5 87.500 (82.061)
Epoch: [61][3080/9018]	Time 0.613 (0.625)	Data 0.006 (0.004)	Loss 1.6847 (1.7943)	Prec@1 55.500 (52.636)	Prec@5 83.500 (82.064)
Epoch: [61][3090/9018]	Time 0.620 (0.625)	Data 0.008 (0.004)	Loss 1.7597 (1.7944)	Prec@1 52.500 (52.632)	Prec@5 84.500 (82.063)
Epoch: [61][3100/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.7958 (1.7942)	Prec@1 53.500 (52.636)	Prec@5 84.000 (82.069)
Epoch: [61][3110/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.7464 (1.7943)	Prec@1 54.000 (52.636)	Prec@5 83.500 (82.068)
Epoch: [61][3120/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.9657 (1.7944)	Prec@1 48.500 (52.629)	Prec@5 75.500 (82.067)
Epoch: [61][3130/9018]	Time 0.627 (0.625)	Data 0.006 (0.004)	Loss 1.9476 (1.7945)	Prec@1 50.500 (52.629)	Prec@5 81.500 (82.068)
Epoch: [61][3140/9018]	Time 0.613 (0.625)	Data 0.016 (0.004)	Loss 1.7993 (1.7946)	Prec@1 49.000 (52.625)	Prec@5 81.500 (82.066)
Epoch: [61][3150/9018]	Time 0.600 (0.625)	Data 0.005 (0.004)	Loss 1.9331 (1.7946)	Prec@1 50.000 (52.621)	Prec@5 79.500 (82.064)
Epoch: [61][3160/9018]	Time 0.619 (0.625)	Data 0.016 (0.004)	Loss 1.8488 (1.7948)	Prec@1 51.000 (52.621)	Prec@5 80.000 (82.063)
Epoch: [61][3170/9018]	Time 0.729 (0.625)	Data 0.001 (0.004)	Loss 1.7030 (1.7947)	Prec@1 56.000 (52.622)	Prec@5 84.000 (82.064)
Epoch: [61][3180/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.7518 (1.7946)	Prec@1 52.000 (52.622)	Prec@5 81.500 (82.067)
Epoch: [61][3190/9018]	Time 0.653 (0.625)	Data 0.013 (0.004)	Loss 1.6551 (1.7948)	Prec@1 54.500 (52.615)	Prec@5 87.000 (82.065)
Epoch: [61][3200/9018]	Time 0.625 (0.625)	Data 0.012 (0.004)	Loss 1.7568 (1.7947)	Prec@1 55.500 (52.617)	Prec@5 81.000 (82.062)
Epoch: [61][3210/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.6551 (1.7947)	Prec@1 58.000 (52.620)	Prec@5 82.500 (82.061)
Epoch: [61][3220/9018]	Time 0.721 (0.625)	Data 0.016 (0.004)	Loss 1.8439 (1.7947)	Prec@1 51.000 (52.619)	Prec@5 81.500 (82.062)
Epoch: [61][3230/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.7285 (1.7947)	Prec@1 52.000 (52.618)	Prec@5 82.000 (82.061)
Epoch: [61][3240/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.7755 (1.7948)	Prec@1 54.000 (52.615)	Prec@5 80.500 (82.060)
Epoch: [61][3250/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6903 (1.7948)	Prec@1 55.500 (52.614)	Prec@5 82.000 (82.059)
Epoch: [61][3260/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.8183 (1.7948)	Prec@1 51.000 (52.612)	Prec@5 82.000 (82.059)
Epoch: [61][3270/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.6715 (1.7948)	Prec@1 60.000 (52.616)	Prec@5 84.000 (82.059)
Epoch: [61][3280/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.7631 (1.7950)	Prec@1 51.000 (52.610)	Prec@5 84.500 (82.054)
Epoch: [61][3290/9018]	Time 0.612 (0.625)	Data 0.002 (0.004)	Loss 1.8298 (1.7951)	Prec@1 55.500 (52.609)	Prec@5 79.500 (82.048)
Epoch: [61][3300/9018]	Time 0.639 (0.625)	Data 0.015 (0.004)	Loss 1.7235 (1.7951)	Prec@1 54.500 (52.606)	Prec@5 83.000 (82.049)
Epoch: [61][3310/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.9519 (1.7951)	Prec@1 50.000 (52.606)	Prec@5 78.000 (82.048)
Epoch: [61][3320/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.8651 (1.7952)	Prec@1 46.500 (52.601)	Prec@5 81.500 (82.051)
Epoch: [61][3330/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.7303 (1.7952)	Prec@1 50.500 (52.598)	Prec@5 82.000 (82.051)
Epoch: [61][3340/9018]	Time 0.645 (0.625)	Data 0.001 (0.004)	Loss 1.7223 (1.7951)	Prec@1 54.500 (52.601)	Prec@5 85.000 (82.051)
Epoch: [61][3350/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.9834 (1.7951)	Prec@1 50.000 (52.603)	Prec@5 78.000 (82.050)
Epoch: [61][3360/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.7337 (1.7950)	Prec@1 51.000 (52.603)	Prec@5 82.500 (82.051)
Epoch: [61][3370/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.9529 (1.7951)	Prec@1 48.500 (52.596)	Prec@5 80.000 (82.050)
Epoch: [61][3380/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.8740 (1.7951)	Prec@1 52.000 (52.596)	Prec@5 82.000 (82.053)
Epoch: [61][3390/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7490 (1.7950)	Prec@1 54.000 (52.598)	Prec@5 81.500 (82.054)
Epoch: [61][3400/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.9154 (1.7952)	Prec@1 46.500 (52.593)	Prec@5 80.000 (82.051)
Epoch: [61][3410/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.6440 (1.7953)	Prec@1 57.000 (52.593)	Prec@5 85.000 (82.053)
Epoch: [61][3420/9018]	Time 0.631 (0.625)	Data 0.007 (0.004)	Loss 1.9603 (1.7953)	Prec@1 49.500 (52.591)	Prec@5 80.500 (82.054)
Epoch: [61][3430/9018]	Time 0.628 (0.625)	Data 0.014 (0.004)	Loss 1.8844 (1.7953)	Prec@1 49.000 (52.591)	Prec@5 83.000 (82.053)
Epoch: [61][3440/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.8035 (1.7953)	Prec@1 52.500 (52.591)	Prec@5 81.000 (82.054)
Epoch: [61][3450/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.7535 (1.7952)	Prec@1 55.500 (52.592)	Prec@5 84.000 (82.057)
Epoch: [61][3460/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.7984 (1.7953)	Prec@1 55.500 (52.587)	Prec@5 83.500 (82.055)
Epoch: [61][3470/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.6670 (1.7952)	Prec@1 55.500 (52.588)	Prec@5 84.000 (82.053)
Epoch: [61][3480/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.7946 (1.7952)	Prec@1 50.500 (52.586)	Prec@5 80.500 (82.052)
Epoch: [61][3490/9018]	Time 0.617 (0.625)	Data 0.003 (0.004)	Loss 1.8335 (1.7952)	Prec@1 56.500 (52.583)	Prec@5 83.500 (82.053)
Epoch: [61][3500/9018]	Time 0.736 (0.625)	Data 0.001 (0.004)	Loss 1.9452 (1.7952)	Prec@1 51.000 (52.584)	Prec@5 79.000 (82.050)
Epoch: [61][3510/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.6705 (1.7953)	Prec@1 57.000 (52.586)	Prec@5 86.000 (82.049)
Epoch: [61][3520/9018]	Time 0.594 (0.625)	Data 0.002 (0.004)	Loss 1.6853 (1.7954)	Prec@1 55.500 (52.581)	Prec@5 83.500 (82.046)
Epoch: [61][3530/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.7496 (1.7954)	Prec@1 55.000 (52.583)	Prec@5 84.500 (82.047)
Epoch: [61][3540/9018]	Time 0.586 (0.625)	Data 0.001 (0.004)	Loss 1.7265 (1.7955)	Prec@1 55.500 (52.583)	Prec@5 82.000 (82.043)
Epoch: [61][3550/9018]	Time 0.780 (0.625)	Data 0.001 (0.004)	Loss 1.8380 (1.7954)	Prec@1 51.000 (52.585)	Prec@5 80.500 (82.044)
Epoch: [61][3560/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 2.0296 (1.7955)	Prec@1 48.000 (52.586)	Prec@5 76.000 (82.042)
Epoch: [61][3570/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.6558 (1.7956)	Prec@1 55.500 (52.583)	Prec@5 84.500 (82.041)
Epoch: [61][3580/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.8515 (1.7956)	Prec@1 49.000 (52.577)	Prec@5 81.000 (82.042)
Epoch: [61][3590/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.6744 (1.7958)	Prec@1 57.000 (52.574)	Prec@5 84.000 (82.039)
Epoch: [61][3600/9018]	Time 0.647 (0.625)	Data 0.020 (0.004)	Loss 1.5327 (1.7957)	Prec@1 55.500 (52.574)	Prec@5 87.500 (82.043)
Epoch: [61][3610/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.9258 (1.7956)	Prec@1 46.000 (52.574)	Prec@5 79.000 (82.041)
Epoch: [61][3620/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.7648 (1.7956)	Prec@1 51.500 (52.570)	Prec@5 82.000 (82.041)
Epoch: [61][3630/9018]	Time 0.630 (0.625)	Data 0.014 (0.004)	Loss 1.7660 (1.7955)	Prec@1 54.000 (52.572)	Prec@5 83.500 (82.040)
Epoch: [61][3640/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.4382 (1.7954)	Prec@1 60.000 (52.571)	Prec@5 89.000 (82.042)
Epoch: [61][3650/9018]	Time 0.618 (0.625)	Data 0.028 (0.004)	Loss 1.9003 (1.7952)	Prec@1 48.000 (52.576)	Prec@5 80.500 (82.043)
Epoch: [61][3660/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.6889 (1.7952)	Prec@1 54.000 (52.574)	Prec@5 83.000 (82.041)
Epoch: [61][3670/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.7805 (1.7952)	Prec@1 55.000 (52.576)	Prec@5 81.000 (82.041)
Epoch: [61][3680/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.7732 (1.7952)	Prec@1 52.500 (52.575)	Prec@5 83.500 (82.040)
Epoch: [61][3690/9018]	Time 0.619 (0.625)	Data 0.012 (0.004)	Loss 1.7711 (1.7952)	Prec@1 49.500 (52.573)	Prec@5 84.000 (82.039)
Epoch: [61][3700/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.7062 (1.7953)	Prec@1 55.000 (52.572)	Prec@5 84.500 (82.039)
Epoch: [61][3710/9018]	Time 0.642 (0.625)	Data 0.015 (0.004)	Loss 1.8233 (1.7952)	Prec@1 53.000 (52.575)	Prec@5 82.500 (82.040)
Epoch: [61][3720/9018]	Time 0.642 (0.625)	Data 0.001 (0.004)	Loss 1.5503 (1.7951)	Prec@1 57.000 (52.576)	Prec@5 88.000 (82.045)
Epoch: [61][3730/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.6928 (1.7951)	Prec@1 57.000 (52.576)	Prec@5 86.500 (82.046)
Epoch: [61][3740/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.7301 (1.7950)	Prec@1 55.000 (52.582)	Prec@5 84.000 (82.046)
Epoch: [61][3750/9018]	Time 0.643 (0.625)	Data 0.011 (0.004)	Loss 1.6740 (1.7948)	Prec@1 52.500 (52.586)	Prec@5 85.500 (82.049)
Epoch: [61][3760/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.8574 (1.7949)	Prec@1 49.500 (52.582)	Prec@5 81.000 (82.050)
Epoch: [61][3770/9018]	Time 0.640 (0.625)	Data 0.016 (0.004)	Loss 1.8727 (1.7949)	Prec@1 47.500 (52.580)	Prec@5 82.000 (82.049)
Epoch: [61][3780/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.7790 (1.7949)	Prec@1 54.000 (52.580)	Prec@5 81.000 (82.050)
Epoch: [61][3790/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.9558 (1.7948)	Prec@1 50.500 (52.586)	Prec@5 81.000 (82.052)
Epoch: [61][3800/9018]	Time 0.600 (0.625)	Data 0.010 (0.004)	Loss 1.7429 (1.7946)	Prec@1 58.500 (52.592)	Prec@5 85.500 (82.056)
Epoch: [61][3810/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.6827 (1.7947)	Prec@1 55.500 (52.590)	Prec@5 85.500 (82.057)
Epoch: [61][3820/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.8851 (1.7948)	Prec@1 49.500 (52.590)	Prec@5 83.000 (82.055)
Epoch: [61][3830/9018]	Time 0.741 (0.625)	Data 0.001 (0.004)	Loss 1.7581 (1.7947)	Prec@1 50.500 (52.593)	Prec@5 81.000 (82.054)
Epoch: [61][3840/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.6752 (1.7946)	Prec@1 56.500 (52.593)	Prec@5 84.000 (82.054)
Epoch: [61][3850/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.8022 (1.7946)	Prec@1 51.500 (52.594)	Prec@5 81.500 (82.055)
Epoch: [61][3860/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.7305 (1.7945)	Prec@1 57.500 (52.601)	Prec@5 83.000 (82.057)
Epoch: [61][3870/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.7532 (1.7946)	Prec@1 55.500 (52.600)	Prec@5 82.000 (82.054)
Epoch: [61][3880/9018]	Time 0.764 (0.625)	Data 0.001 (0.004)	Loss 1.8041 (1.7946)	Prec@1 52.500 (52.603)	Prec@5 79.000 (82.054)
Epoch: [61][3890/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.7869 (1.7945)	Prec@1 51.500 (52.605)	Prec@5 83.000 (82.055)
Epoch: [61][3900/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.7473 (1.7945)	Prec@1 55.000 (52.604)	Prec@5 81.000 (82.052)
Epoch: [61][3910/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.8489 (1.7945)	Prec@1 49.000 (52.602)	Prec@5 82.000 (82.052)
Epoch: [61][3920/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.9433 (1.7944)	Prec@1 49.000 (52.605)	Prec@5 83.000 (82.054)
Epoch: [61][3930/9018]	Time 0.648 (0.625)	Data 0.014 (0.004)	Loss 1.7409 (1.7945)	Prec@1 53.500 (52.605)	Prec@5 83.000 (82.052)
Epoch: [61][3940/9018]	Time 0.641 (0.625)	Data 0.013 (0.004)	Loss 1.7445 (1.7945)	Prec@1 51.000 (52.604)	Prec@5 85.500 (82.053)
Epoch: [61][3950/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.6474 (1.7945)	Prec@1 57.000 (52.604)	Prec@5 85.500 (82.050)
Epoch: [61][3960/9018]	Time 0.599 (0.625)	Data 0.015 (0.004)	Loss 1.7192 (1.7945)	Prec@1 55.000 (52.604)	Prec@5 80.000 (82.047)
Epoch: [61][3970/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.8932 (1.7945)	Prec@1 52.500 (52.601)	Prec@5 82.000 (82.047)
Epoch: [61][3980/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.6527 (1.7946)	Prec@1 53.500 (52.597)	Prec@5 83.000 (82.045)
Epoch: [61][3990/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.7828 (1.7946)	Prec@1 53.500 (52.593)	Prec@5 82.500 (82.044)
Epoch: [61][4000/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.8101 (1.7947)	Prec@1 55.000 (52.594)	Prec@5 84.000 (82.046)
Epoch: [61][4010/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.7808 (1.7947)	Prec@1 58.500 (52.596)	Prec@5 84.500 (82.047)
Epoch: [61][4020/9018]	Time 0.619 (0.625)	Data 0.015 (0.004)	Loss 1.6721 (1.7946)	Prec@1 55.000 (52.600)	Prec@5 84.500 (82.048)
Epoch: [61][4030/9018]	Time 0.620 (0.625)	Data 0.018 (0.004)	Loss 1.7041 (1.7944)	Prec@1 55.000 (52.605)	Prec@5 87.000 (82.054)
Epoch: [61][4040/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.8661 (1.7944)	Prec@1 47.000 (52.604)	Prec@5 82.500 (82.055)
Epoch: [61][4050/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.9062 (1.7943)	Prec@1 45.500 (52.607)	Prec@5 78.500 (82.058)
Epoch: [61][4060/9018]	Time 0.619 (0.625)	Data 0.014 (0.004)	Loss 1.8607 (1.7943)	Prec@1 50.000 (52.609)	Prec@5 83.000 (82.058)
Epoch: [61][4070/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 2.1313 (1.7944)	Prec@1 48.500 (52.607)	Prec@5 76.000 (82.056)
Epoch: [61][4080/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.7450 (1.7943)	Prec@1 53.500 (52.611)	Prec@5 83.500 (82.058)
Epoch: [61][4090/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.6778 (1.7942)	Prec@1 57.500 (52.613)	Prec@5 83.500 (82.060)
Epoch: [61][4100/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.6423 (1.7941)	Prec@1 54.500 (52.615)	Prec@5 85.000 (82.062)
Epoch: [61][4110/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.9120 (1.7941)	Prec@1 45.000 (52.612)	Prec@5 81.500 (82.065)
Epoch: [61][4120/9018]	Time 0.606 (0.625)	Data 0.005 (0.004)	Loss 1.9639 (1.7942)	Prec@1 51.000 (52.606)	Prec@5 78.500 (82.062)
Epoch: [61][4130/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.7053 (1.7943)	Prec@1 58.500 (52.604)	Prec@5 83.500 (82.061)
Epoch: [61][4140/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 2.1352 (1.7943)	Prec@1 44.000 (52.600)	Prec@5 79.000 (82.062)
Epoch: [61][4150/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.8528 (1.7943)	Prec@1 48.500 (52.597)	Prec@5 79.500 (82.063)
Epoch: [61][4160/9018]	Time 0.722 (0.625)	Data 0.001 (0.004)	Loss 1.7387 (1.7941)	Prec@1 52.500 (52.598)	Prec@5 83.500 (82.066)
Epoch: [61][4170/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.9387 (1.7941)	Prec@1 50.000 (52.598)	Prec@5 81.000 (82.067)
Epoch: [61][4180/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.8107 (1.7943)	Prec@1 53.500 (52.594)	Prec@5 81.500 (82.065)
Epoch: [61][4190/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.8355 (1.7944)	Prec@1 49.000 (52.590)	Prec@5 81.000 (82.062)
Epoch: [61][4200/9018]	Time 0.622 (0.625)	Data 0.015 (0.004)	Loss 2.0338 (1.7944)	Prec@1 50.000 (52.590)	Prec@5 75.000 (82.060)
Epoch: [61][4210/9018]	Time 0.742 (0.625)	Data 0.001 (0.004)	Loss 1.8673 (1.7944)	Prec@1 54.500 (52.591)	Prec@5 80.000 (82.063)
Epoch: [61][4220/9018]	Time 0.640 (0.625)	Data 0.008 (0.004)	Loss 2.0951 (1.7944)	Prec@1 45.000 (52.592)	Prec@5 76.500 (82.062)
Epoch: [61][4230/9018]	Time 0.610 (0.625)	Data 0.002 (0.004)	Loss 1.8302 (1.7945)	Prec@1 54.000 (52.589)	Prec@5 80.000 (82.059)
Epoch: [61][4240/9018]	Time 0.621 (0.625)	Data 0.007 (0.004)	Loss 1.7479 (1.7943)	Prec@1 54.000 (52.594)	Prec@5 80.500 (82.063)
Epoch: [61][4250/9018]	Time 0.609 (0.625)	Data 0.002 (0.004)	Loss 1.9056 (1.7942)	Prec@1 51.500 (52.597)	Prec@5 77.000 (82.064)
Epoch: [61][4260/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.9855 (1.7944)	Prec@1 49.500 (52.590)	Prec@5 81.000 (82.063)
Epoch: [61][4270/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.7627 (1.7942)	Prec@1 54.500 (52.593)	Prec@5 84.000 (82.067)
Epoch: [61][4280/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.9175 (1.7942)	Prec@1 50.500 (52.595)	Prec@5 80.000 (82.064)
Epoch: [61][4290/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.6916 (1.7942)	Prec@1 54.500 (52.598)	Prec@5 83.500 (82.065)
Epoch: [61][4300/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.6153 (1.7941)	Prec@1 57.500 (52.600)	Prec@5 85.000 (82.067)
Epoch: [61][4310/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.8107 (1.7942)	Prec@1 50.000 (52.596)	Prec@5 85.500 (82.068)
Epoch: [61][4320/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.9197 (1.7943)	Prec@1 50.500 (52.592)	Prec@5 80.000 (82.066)
Epoch: [61][4330/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.7117 (1.7944)	Prec@1 53.500 (52.591)	Prec@5 84.000 (82.064)
Epoch: [61][4340/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.7272 (1.7945)	Prec@1 55.500 (52.590)	Prec@5 84.000 (82.065)
Epoch: [61][4350/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7331 (1.7945)	Prec@1 55.000 (52.587)	Prec@5 82.000 (82.063)
Epoch: [61][4360/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.8171 (1.7945)	Prec@1 57.000 (52.586)	Prec@5 79.000 (82.063)
Epoch: [61][4370/9018]	Time 0.604 (0.625)	Data 0.014 (0.004)	Loss 1.7754 (1.7944)	Prec@1 56.500 (52.586)	Prec@5 82.000 (82.065)
Epoch: [61][4380/9018]	Time 0.661 (0.625)	Data 0.007 (0.004)	Loss 1.8090 (1.7945)	Prec@1 51.000 (52.586)	Prec@5 84.000 (82.062)
Epoch: [61][4390/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.9109 (1.7944)	Prec@1 54.500 (52.591)	Prec@5 81.000 (82.063)
Epoch: [61][4400/9018]	Time 0.612 (0.625)	Data 0.014 (0.004)	Loss 1.8735 (1.7945)	Prec@1 48.500 (52.588)	Prec@5 83.500 (82.063)
Epoch: [61][4410/9018]	Time 0.616 (0.625)	Data 0.002 (0.004)	Loss 1.7049 (1.7943)	Prec@1 53.000 (52.594)	Prec@5 83.000 (82.066)
Epoch: [61][4420/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.8506 (1.7941)	Prec@1 52.000 (52.598)	Prec@5 81.000 (82.066)
Epoch: [61][4430/9018]	Time 0.605 (0.625)	Data 0.014 (0.004)	Loss 1.7435 (1.7941)	Prec@1 54.500 (52.598)	Prec@5 80.500 (82.066)
Epoch: [61][4440/9018]	Time 0.647 (0.625)	Data 0.015 (0.004)	Loss 1.7455 (1.7942)	Prec@1 53.000 (52.594)	Prec@5 85.000 (82.063)
Epoch: [61][4450/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.6964 (1.7943)	Prec@1 49.500 (52.592)	Prec@5 87.000 (82.062)
Epoch: [61][4460/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.7496 (1.7944)	Prec@1 47.500 (52.589)	Prec@5 83.500 (82.061)
Epoch: [61][4470/9018]	Time 0.614 (0.625)	Data 0.013 (0.004)	Loss 1.5202 (1.7944)	Prec@1 56.500 (52.586)	Prec@5 84.500 (82.060)
Epoch: [61][4480/9018]	Time 0.609 (0.625)	Data 0.014 (0.004)	Loss 1.8198 (1.7945)	Prec@1 55.500 (52.586)	Prec@5 80.000 (82.059)
Epoch: [61][4490/9018]	Time 0.740 (0.625)	Data 0.003 (0.004)	Loss 1.9366 (1.7945)	Prec@1 51.000 (52.590)	Prec@5 77.500 (82.061)
Epoch: [61][4500/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.6172 (1.7945)	Prec@1 62.000 (52.591)	Prec@5 85.000 (82.060)
Epoch: [61][4510/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.8978 (1.7946)	Prec@1 51.000 (52.588)	Prec@5 80.500 (82.059)
Epoch: [61][4520/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6446 (1.7947)	Prec@1 55.500 (52.586)	Prec@5 83.500 (82.060)
Epoch: [61][4530/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.6335 (1.7946)	Prec@1 58.500 (52.585)	Prec@5 83.000 (82.061)
Epoch: [61][4540/9018]	Time 0.788 (0.625)	Data 0.016 (0.004)	Loss 1.8392 (1.7947)	Prec@1 51.000 (52.581)	Prec@5 78.500 (82.061)
Epoch: [61][4550/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.8152 (1.7948)	Prec@1 59.000 (52.578)	Prec@5 83.000 (82.059)
Epoch: [61][4560/9018]	Time 0.615 (0.625)	Data 0.025 (0.004)	Loss 1.7711 (1.7947)	Prec@1 50.500 (52.578)	Prec@5 84.000 (82.060)
Epoch: [61][4570/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.7694 (1.7946)	Prec@1 52.500 (52.579)	Prec@5 80.500 (82.062)
Epoch: [61][4580/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.8749 (1.7946)	Prec@1 50.000 (52.582)	Prec@5 79.500 (82.063)
Epoch: [61][4590/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.7209 (1.7946)	Prec@1 58.000 (52.584)	Prec@5 84.500 (82.063)
Epoch: [61][4600/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.8060 (1.7946)	Prec@1 51.000 (52.584)	Prec@5 83.500 (82.063)
Epoch: [61][4610/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.9225 (1.7946)	Prec@1 49.500 (52.582)	Prec@5 83.000 (82.063)
Epoch: [61][4620/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.8104 (1.7947)	Prec@1 53.000 (52.578)	Prec@5 81.000 (82.059)
Epoch: [61][4630/9018]	Time 0.614 (0.625)	Data 0.015 (0.004)	Loss 1.8372 (1.7945)	Prec@1 45.000 (52.581)	Prec@5 83.500 (82.064)
Epoch: [61][4640/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.6844 (1.7945)	Prec@1 57.000 (52.582)	Prec@5 81.500 (82.064)
Epoch: [61][4650/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.9480 (1.7945)	Prec@1 46.000 (52.582)	Prec@5 78.000 (82.065)
Epoch: [61][4660/9018]	Time 0.619 (0.625)	Data 0.005 (0.004)	Loss 1.8397 (1.7943)	Prec@1 46.000 (52.583)	Prec@5 84.000 (82.070)
Epoch: [61][4670/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.9694 (1.7944)	Prec@1 46.500 (52.583)	Prec@5 79.500 (82.069)
Epoch: [61][4680/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.8154 (1.7942)	Prec@1 50.000 (52.586)	Prec@5 83.000 (82.072)
Epoch: [61][4690/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.8890 (1.7943)	Prec@1 51.000 (52.586)	Prec@5 80.500 (82.071)
Epoch: [61][4700/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.9784 (1.7943)	Prec@1 47.000 (52.586)	Prec@5 79.000 (82.071)
Epoch: [61][4710/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.7324 (1.7942)	Prec@1 56.000 (52.590)	Prec@5 82.500 (82.073)
Epoch: [61][4720/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.6643 (1.7942)	Prec@1 58.000 (52.592)	Prec@5 86.000 (82.073)
Epoch: [61][4730/9018]	Time 0.645 (0.625)	Data 0.004 (0.004)	Loss 1.6573 (1.7941)	Prec@1 58.000 (52.593)	Prec@5 81.500 (82.073)
Epoch: [61][4740/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.8852 (1.7943)	Prec@1 53.000 (52.590)	Prec@5 79.500 (82.070)
Epoch: [61][4750/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.7916 (1.7943)	Prec@1 51.000 (52.587)	Prec@5 82.000 (82.069)
Epoch: [61][4760/9018]	Time 0.645 (0.625)	Data 0.004 (0.004)	Loss 1.9376 (1.7943)	Prec@1 48.500 (52.588)	Prec@5 81.000 (82.070)
Epoch: [61][4770/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.9455 (1.7943)	Prec@1 50.000 (52.587)	Prec@5 81.000 (82.070)
Epoch: [61][4780/9018]	Time 0.593 (0.625)	Data 0.002 (0.004)	Loss 1.5763 (1.7943)	Prec@1 57.000 (52.589)	Prec@5 87.000 (82.070)
Epoch: [61][4790/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.8506 (1.7944)	Prec@1 49.500 (52.586)	Prec@5 81.000 (82.069)
Epoch: [61][4800/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.6544 (1.7944)	Prec@1 52.500 (52.587)	Prec@5 85.500 (82.069)
Epoch: [61][4810/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.7952 (1.7943)	Prec@1 56.000 (52.588)	Prec@5 81.500 (82.072)
Epoch: [61][4820/9018]	Time 0.752 (0.625)	Data 0.001 (0.004)	Loss 1.8220 (1.7943)	Prec@1 53.500 (52.591)	Prec@5 83.000 (82.070)
Epoch: [61][4830/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8319 (1.7942)	Prec@1 51.500 (52.597)	Prec@5 82.000 (82.071)
Epoch: [61][4840/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.8412 (1.7942)	Prec@1 51.000 (52.595)	Prec@5 86.000 (82.072)
Epoch: [61][4850/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.8236 (1.7943)	Prec@1 49.500 (52.593)	Prec@5 84.500 (82.071)
Epoch: [61][4860/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6477 (1.7942)	Prec@1 58.000 (52.594)	Prec@5 83.000 (82.073)
Epoch: [61][4870/9018]	Time 0.712 (0.625)	Data 0.001 (0.004)	Loss 1.9227 (1.7942)	Prec@1 49.000 (52.592)	Prec@5 78.000 (82.068)
Epoch: [61][4880/9018]	Time 0.617 (0.625)	Data 0.017 (0.004)	Loss 1.7625 (1.7942)	Prec@1 54.000 (52.596)	Prec@5 85.500 (82.069)
Epoch: [61][4890/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 1.5667 (1.7942)	Prec@1 57.000 (52.595)	Prec@5 87.500 (82.068)
Epoch: [61][4900/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.8256 (1.7942)	Prec@1 48.000 (52.592)	Prec@5 83.500 (82.071)
Epoch: [61][4910/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 1.9468 (1.7942)	Prec@1 47.000 (52.593)	Prec@5 78.000 (82.069)
Epoch: [61][4920/9018]	Time 0.602 (0.625)	Data 0.015 (0.004)	Loss 1.7195 (1.7941)	Prec@1 54.000 (52.596)	Prec@5 86.500 (82.070)
Epoch: [61][4930/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.7722 (1.7941)	Prec@1 51.000 (52.596)	Prec@5 82.000 (82.070)
Epoch: [61][4940/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.7883 (1.7942)	Prec@1 52.500 (52.593)	Prec@5 82.500 (82.068)
Epoch: [61][4950/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.8741 (1.7941)	Prec@1 51.500 (52.593)	Prec@5 81.500 (82.070)
Epoch: [61][4960/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.8445 (1.7942)	Prec@1 49.000 (52.591)	Prec@5 82.500 (82.068)
Epoch: [61][4970/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.7920 (1.7942)	Prec@1 51.500 (52.592)	Prec@5 80.000 (82.067)
Epoch: [61][4980/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.8327 (1.7943)	Prec@1 54.000 (52.593)	Prec@5 83.500 (82.065)
Epoch: [61][4990/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.4555 (1.7942)	Prec@1 60.500 (52.593)	Prec@5 88.000 (82.067)
Epoch: [61][5000/9018]	Time 0.630 (0.624)	Data 0.001 (0.004)	Loss 1.8196 (1.7941)	Prec@1 54.500 (52.595)	Prec@5 81.500 (82.069)
Epoch: [61][5010/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.9172 (1.7941)	Prec@1 54.500 (52.596)	Prec@5 80.500 (82.069)
Epoch: [61][5020/9018]	Time 0.635 (0.624)	Data 0.015 (0.004)	Loss 1.7006 (1.7942)	Prec@1 56.000 (52.595)	Prec@5 81.000 (82.069)
Epoch: [61][5030/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.7343 (1.7941)	Prec@1 57.000 (52.597)	Prec@5 83.000 (82.071)
Epoch: [61][5040/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.9357 (1.7942)	Prec@1 45.500 (52.595)	Prec@5 79.500 (82.073)
Epoch: [61][5050/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.7553 (1.7942)	Prec@1 49.000 (52.593)	Prec@5 81.000 (82.071)
Epoch: [61][5060/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.7177 (1.7940)	Prec@1 54.000 (52.596)	Prec@5 81.500 (82.073)
Epoch: [61][5070/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.8550 (1.7940)	Prec@1 52.000 (52.595)	Prec@5 81.000 (82.074)
Epoch: [61][5080/9018]	Time 0.658 (0.624)	Data 0.001 (0.004)	Loss 1.7040 (1.7939)	Prec@1 56.000 (52.595)	Prec@5 84.000 (82.075)
Epoch: [61][5090/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.7731 (1.7939)	Prec@1 50.500 (52.593)	Prec@5 82.500 (82.076)
Epoch: [61][5100/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.6587 (1.7938)	Prec@1 53.500 (52.598)	Prec@5 79.500 (82.076)
Epoch: [61][5110/9018]	Time 0.597 (0.624)	Data 0.004 (0.004)	Loss 1.8193 (1.7939)	Prec@1 49.500 (52.595)	Prec@5 83.000 (82.075)
Epoch: [61][5120/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.7506 (1.7938)	Prec@1 55.500 (52.597)	Prec@5 82.000 (82.075)
Epoch: [61][5130/9018]	Time 0.608 (0.624)	Data 0.004 (0.004)	Loss 1.7733 (1.7939)	Prec@1 46.000 (52.594)	Prec@5 82.000 (82.073)
Epoch: [61][5140/9018]	Time 0.628 (0.624)	Data 0.017 (0.004)	Loss 1.8308 (1.7939)	Prec@1 50.000 (52.595)	Prec@5 79.000 (82.074)
Epoch: [61][5150/9018]	Time 0.745 (0.624)	Data 0.001 (0.004)	Loss 1.8338 (1.7938)	Prec@1 47.500 (52.596)	Prec@5 80.000 (82.073)
Epoch: [61][5160/9018]	Time 0.623 (0.624)	Data 0.001 (0.004)	Loss 1.7503 (1.7937)	Prec@1 51.000 (52.599)	Prec@5 83.500 (82.076)
Epoch: [61][5170/9018]	Time 0.600 (0.624)	Data 0.018 (0.004)	Loss 1.8574 (1.7937)	Prec@1 52.000 (52.601)	Prec@5 78.500 (82.073)
Epoch: [61][5180/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.7402 (1.7937)	Prec@1 55.000 (52.602)	Prec@5 84.500 (82.074)
Epoch: [61][5190/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.8089 (1.7936)	Prec@1 52.000 (52.603)	Prec@5 80.000 (82.073)
Epoch: [61][5200/9018]	Time 0.782 (0.624)	Data 0.001 (0.003)	Loss 1.9045 (1.7936)	Prec@1 47.500 (52.605)	Prec@5 83.500 (82.073)
Epoch: [61][5210/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.8918 (1.7936)	Prec@1 54.500 (52.602)	Prec@5 79.000 (82.073)
Epoch: [61][5220/9018]	Time 0.591 (0.624)	Data 0.005 (0.003)	Loss 1.7154 (1.7937)	Prec@1 51.000 (52.602)	Prec@5 87.000 (82.074)
Epoch: [61][5230/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.6996 (1.7935)	Prec@1 55.500 (52.605)	Prec@5 82.000 (82.074)
Epoch: [61][5240/9018]	Time 0.624 (0.624)	Data 0.012 (0.003)	Loss 1.9040 (1.7937)	Prec@1 45.000 (52.602)	Prec@5 80.500 (82.071)
Epoch: [61][5250/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.7606 (1.7936)	Prec@1 55.000 (52.604)	Prec@5 83.000 (82.071)
Epoch: [61][5260/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.9692 (1.7937)	Prec@1 44.500 (52.600)	Prec@5 80.500 (82.071)
Epoch: [61][5270/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.7455 (1.7937)	Prec@1 53.500 (52.598)	Prec@5 80.500 (82.072)
Epoch: [61][5280/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.7979 (1.7937)	Prec@1 52.000 (52.598)	Prec@5 79.500 (82.072)
Epoch: [61][5290/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.5775 (1.7937)	Prec@1 56.500 (52.600)	Prec@5 87.000 (82.069)
Epoch: [61][5300/9018]	Time 0.618 (0.624)	Data 0.014 (0.003)	Loss 1.6640 (1.7937)	Prec@1 55.000 (52.600)	Prec@5 82.000 (82.067)
Epoch: [61][5310/9018]	Time 0.619 (0.624)	Data 0.008 (0.003)	Loss 1.6139 (1.7936)	Prec@1 58.500 (52.602)	Prec@5 86.000 (82.069)
Epoch: [61][5320/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.6731 (1.7936)	Prec@1 56.500 (52.602)	Prec@5 85.500 (82.069)
Epoch: [61][5330/9018]	Time 0.593 (0.624)	Data 0.004 (0.003)	Loss 1.6754 (1.7934)	Prec@1 54.500 (52.604)	Prec@5 82.500 (82.071)
Epoch: [61][5340/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 2.0262 (1.7936)	Prec@1 49.000 (52.599)	Prec@5 78.000 (82.069)
Epoch: [61][5350/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 2.0448 (1.7937)	Prec@1 46.500 (52.594)	Prec@5 75.000 (82.066)
Epoch: [61][5360/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.8302 (1.7938)	Prec@1 52.500 (52.595)	Prec@5 84.000 (82.066)
Epoch: [61][5370/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.4801 (1.7936)	Prec@1 59.000 (52.601)	Prec@5 86.500 (82.069)
Epoch: [61][5380/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.7218 (1.7936)	Prec@1 52.500 (52.600)	Prec@5 85.500 (82.071)
Epoch: [61][5390/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.8155 (1.7935)	Prec@1 50.000 (52.600)	Prec@5 84.000 (82.072)
Epoch: [61][5400/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.7575 (1.7935)	Prec@1 54.000 (52.604)	Prec@5 80.500 (82.073)
Epoch: [61][5410/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.6397 (1.7934)	Prec@1 56.000 (52.607)	Prec@5 85.500 (82.074)
Epoch: [61][5420/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.6949 (1.7933)	Prec@1 51.000 (52.610)	Prec@5 85.500 (82.076)
Epoch: [61][5430/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.9827 (1.7934)	Prec@1 49.000 (52.609)	Prec@5 79.500 (82.075)
Epoch: [61][5440/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.9458 (1.7934)	Prec@1 45.500 (52.609)	Prec@5 80.500 (82.075)
Epoch: [61][5450/9018]	Time 0.624 (0.624)	Data 0.006 (0.003)	Loss 1.7550 (1.7933)	Prec@1 59.500 (52.614)	Prec@5 81.500 (82.078)
Epoch: [61][5460/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.8506 (1.7933)	Prec@1 51.500 (52.614)	Prec@5 81.500 (82.077)
Epoch: [61][5470/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.8215 (1.7933)	Prec@1 52.000 (52.614)	Prec@5 82.500 (82.075)
Epoch: [61][5480/9018]	Time 0.745 (0.624)	Data 0.001 (0.003)	Loss 1.8312 (1.7933)	Prec@1 51.000 (52.613)	Prec@5 85.000 (82.075)
Epoch: [61][5490/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.7765 (1.7933)	Prec@1 52.000 (52.613)	Prec@5 82.000 (82.075)
Epoch: [61][5500/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.5886 (1.7932)	Prec@1 56.500 (52.615)	Prec@5 85.000 (82.076)
Epoch: [61][5510/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.9066 (1.7932)	Prec@1 48.000 (52.618)	Prec@5 81.500 (82.076)
Epoch: [61][5520/9018]	Time 0.622 (0.624)	Data 0.014 (0.003)	Loss 2.0633 (1.7933)	Prec@1 48.500 (52.617)	Prec@5 78.500 (82.074)
Epoch: [61][5530/9018]	Time 0.738 (0.624)	Data 0.001 (0.003)	Loss 1.7474 (1.7934)	Prec@1 52.000 (52.617)	Prec@5 80.000 (82.072)
Epoch: [61][5540/9018]	Time 0.613 (0.624)	Data 0.013 (0.003)	Loss 1.7057 (1.7933)	Prec@1 54.000 (52.616)	Prec@5 82.000 (82.070)
Epoch: [61][5550/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.8887 (1.7934)	Prec@1 47.500 (52.613)	Prec@5 79.000 (82.069)
Epoch: [61][5560/9018]	Time 0.607 (0.624)	Data 0.004 (0.003)	Loss 2.0245 (1.7935)	Prec@1 48.000 (52.613)	Prec@5 75.000 (82.067)
Epoch: [61][5570/9018]	Time 0.589 (0.624)	Data 0.001 (0.003)	Loss 1.5264 (1.7935)	Prec@1 57.500 (52.611)	Prec@5 83.500 (82.066)
Epoch: [61][5580/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 2.0264 (1.7934)	Prec@1 45.500 (52.611)	Prec@5 77.500 (82.066)
Epoch: [61][5590/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.5793 (1.7934)	Prec@1 58.000 (52.611)	Prec@5 86.000 (82.068)
Epoch: [61][5600/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.9232 (1.7934)	Prec@1 49.000 (52.613)	Prec@5 79.500 (82.069)
Epoch: [61][5610/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.7467 (1.7933)	Prec@1 55.000 (52.614)	Prec@5 83.500 (82.071)
Epoch: [61][5620/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.6992 (1.7933)	Prec@1 57.000 (52.618)	Prec@5 84.000 (82.072)
Epoch: [61][5630/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.7375 (1.7932)	Prec@1 49.000 (52.618)	Prec@5 84.000 (82.071)
Epoch: [61][5640/9018]	Time 0.632 (0.624)	Data 0.001 (0.003)	Loss 1.7525 (1.7934)	Prec@1 52.000 (52.616)	Prec@5 82.000 (82.069)
Epoch: [61][5650/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.9269 (1.7934)	Prec@1 52.500 (52.615)	Prec@5 80.000 (82.067)
Epoch: [61][5660/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.6727 (1.7933)	Prec@1 59.000 (52.617)	Prec@5 85.500 (82.070)
Epoch: [61][5670/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.6589 (1.7932)	Prec@1 56.500 (52.617)	Prec@5 85.500 (82.071)
Epoch: [61][5680/9018]	Time 0.607 (0.624)	Data 0.014 (0.003)	Loss 2.0032 (1.7932)	Prec@1 49.000 (52.618)	Prec@5 82.000 (82.071)
Epoch: [61][5690/9018]	Time 0.586 (0.624)	Data 0.001 (0.003)	Loss 1.7084 (1.7932)	Prec@1 58.500 (52.617)	Prec@5 83.000 (82.072)
Epoch: [61][5700/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.8216 (1.7932)	Prec@1 51.500 (52.617)	Prec@5 83.500 (82.074)
Epoch: [61][5710/9018]	Time 0.639 (0.624)	Data 0.001 (0.003)	Loss 1.8052 (1.7931)	Prec@1 50.500 (52.617)	Prec@5 83.000 (82.076)
Epoch: [61][5720/9018]	Time 0.614 (0.624)	Data 0.014 (0.003)	Loss 1.7386 (1.7932)	Prec@1 54.500 (52.615)	Prec@5 82.500 (82.074)
Epoch: [61][5730/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.5815 (1.7931)	Prec@1 58.000 (52.617)	Prec@5 82.000 (82.075)
Epoch: [61][5740/9018]	Time 0.595 (0.624)	Data 0.005 (0.003)	Loss 1.7507 (1.7932)	Prec@1 57.500 (52.618)	Prec@5 81.000 (82.075)
Epoch: [61][5750/9018]	Time 0.611 (0.624)	Data 0.018 (0.003)	Loss 1.8268 (1.7931)	Prec@1 50.500 (52.618)	Prec@5 81.500 (82.076)
Epoch: [61][5760/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.9469 (1.7933)	Prec@1 51.000 (52.616)	Prec@5 80.500 (82.074)
Epoch: [61][5770/9018]	Time 0.586 (0.624)	Data 0.001 (0.003)	Loss 1.6902 (1.7933)	Prec@1 53.000 (52.618)	Prec@5 85.500 (82.072)
Epoch: [61][5780/9018]	Time 0.633 (0.624)	Data 0.017 (0.003)	Loss 1.8174 (1.7934)	Prec@1 50.000 (52.617)	Prec@5 82.000 (82.071)
Epoch: [61][5790/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.7525 (1.7935)	Prec@1 51.000 (52.614)	Prec@5 82.000 (82.069)
Epoch: [61][5800/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.5460 (1.7934)	Prec@1 57.000 (52.615)	Prec@5 87.000 (82.070)
Epoch: [61][5810/9018]	Time 0.774 (0.624)	Data 0.001 (0.003)	Loss 1.6404 (1.7934)	Prec@1 56.500 (52.615)	Prec@5 88.000 (82.069)
Epoch: [61][5820/9018]	Time 0.632 (0.624)	Data 0.001 (0.003)	Loss 1.9404 (1.7934)	Prec@1 48.000 (52.614)	Prec@5 79.500 (82.070)
Epoch: [61][5830/9018]	Time 0.597 (0.624)	Data 0.014 (0.003)	Loss 1.8183 (1.7934)	Prec@1 51.500 (52.614)	Prec@5 83.000 (82.072)
Epoch: [61][5840/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.9257 (1.7933)	Prec@1 50.000 (52.615)	Prec@5 81.000 (82.072)
Epoch: [61][5850/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.9602 (1.7934)	Prec@1 48.000 (52.615)	Prec@5 81.000 (82.072)
Epoch: [61][5860/9018]	Time 0.768 (0.624)	Data 0.001 (0.003)	Loss 1.9707 (1.7934)	Prec@1 52.500 (52.617)	Prec@5 77.500 (82.072)
Epoch: [61][5870/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.9350 (1.7934)	Prec@1 45.500 (52.616)	Prec@5 85.000 (82.073)
Epoch: [61][5880/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.9642 (1.7935)	Prec@1 50.500 (52.615)	Prec@5 79.000 (82.072)
Epoch: [61][5890/9018]	Time 0.629 (0.624)	Data 0.007 (0.003)	Loss 1.6948 (1.7934)	Prec@1 54.000 (52.615)	Prec@5 83.500 (82.072)
Epoch: [61][5900/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.8422 (1.7934)	Prec@1 50.000 (52.615)	Prec@5 80.500 (82.073)
Epoch: [61][5910/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.8343 (1.7934)	Prec@1 55.500 (52.616)	Prec@5 83.000 (82.074)
Epoch: [61][5920/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 2.0012 (1.7933)	Prec@1 49.500 (52.619)	Prec@5 79.000 (82.076)
Epoch: [61][5930/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.8772 (1.7933)	Prec@1 49.000 (52.621)	Prec@5 78.000 (82.075)
Epoch: [61][5940/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.6432 (1.7933)	Prec@1 58.000 (52.619)	Prec@5 82.000 (82.075)
Epoch: [61][5950/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6636 (1.7933)	Prec@1 56.000 (52.619)	Prec@5 84.500 (82.075)
Epoch: [61][5960/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.8675 (1.7933)	Prec@1 50.000 (52.619)	Prec@5 80.000 (82.076)
Epoch: [61][5970/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.6567 (1.7932)	Prec@1 58.000 (52.622)	Prec@5 83.000 (82.077)
Epoch: [61][5980/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.9310 (1.7932)	Prec@1 53.000 (52.622)	Prec@5 77.500 (82.078)
Epoch: [61][5990/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.8583 (1.7933)	Prec@1 51.500 (52.620)	Prec@5 81.500 (82.075)
Epoch: [61][6000/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.9173 (1.7933)	Prec@1 50.000 (52.620)	Prec@5 76.500 (82.075)
Epoch: [61][6010/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.6034 (1.7932)	Prec@1 55.000 (52.622)	Prec@5 83.500 (82.074)
Epoch: [61][6020/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.6947 (1.7932)	Prec@1 55.500 (52.622)	Prec@5 82.500 (82.073)
Epoch: [61][6030/9018]	Time 0.601 (0.624)	Data 0.013 (0.003)	Loss 1.8266 (1.7933)	Prec@1 53.000 (52.622)	Prec@5 80.000 (82.072)
Epoch: [61][6040/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.8953 (1.7934)	Prec@1 60.000 (52.620)	Prec@5 78.000 (82.071)
Epoch: [61][6050/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.8204 (1.7935)	Prec@1 46.000 (52.617)	Prec@5 86.500 (82.071)
Epoch: [61][6060/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.9455 (1.7935)	Prec@1 50.000 (52.616)	Prec@5 76.500 (82.070)
Epoch: [61][6070/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.7725 (1.7935)	Prec@1 54.500 (52.619)	Prec@5 82.500 (82.072)
Epoch: [61][6080/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.9637 (1.7936)	Prec@1 53.000 (52.618)	Prec@5 78.500 (82.067)
Epoch: [61][6090/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.8142 (1.7936)	Prec@1 54.500 (52.618)	Prec@5 82.500 (82.067)
Epoch: [61][6100/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.8431 (1.7936)	Prec@1 53.000 (52.618)	Prec@5 79.000 (82.068)
Epoch: [61][6110/9018]	Time 0.601 (0.624)	Data 0.013 (0.003)	Loss 1.7766 (1.7936)	Prec@1 53.000 (52.616)	Prec@5 81.000 (82.070)
Epoch: [61][6120/9018]	Time 0.596 (0.624)	Data 0.016 (0.003)	Loss 1.7177 (1.7936)	Prec@1 54.500 (52.617)	Prec@5 83.000 (82.070)
Epoch: [61][6130/9018]	Time 0.613 (0.624)	Data 0.004 (0.003)	Loss 1.8238 (1.7936)	Prec@1 51.000 (52.614)	Prec@5 81.000 (82.070)
Epoch: [61][6140/9018]	Time 0.753 (0.624)	Data 0.001 (0.003)	Loss 2.0450 (1.7936)	Prec@1 45.000 (52.613)	Prec@5 79.000 (82.069)
Epoch: [61][6150/9018]	Time 0.598 (0.624)	Data 0.007 (0.003)	Loss 1.7865 (1.7937)	Prec@1 50.500 (52.612)	Prec@5 87.000 (82.069)
Epoch: [61][6160/9018]	Time 0.619 (0.624)	Data 0.002 (0.003)	Loss 1.9757 (1.7937)	Prec@1 52.500 (52.616)	Prec@5 74.500 (82.068)
Epoch: [61][6170/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.4387 (1.7936)	Prec@1 59.500 (52.616)	Prec@5 89.500 (82.069)
Epoch: [61][6180/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.6346 (1.7936)	Prec@1 57.000 (52.616)	Prec@5 84.000 (82.070)
Epoch: [61][6190/9018]	Time 0.789 (0.624)	Data 0.004 (0.003)	Loss 1.7088 (1.7936)	Prec@1 52.500 (52.616)	Prec@5 83.500 (82.070)
Epoch: [61][6200/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 2.0168 (1.7936)	Prec@1 50.500 (52.616)	Prec@5 79.500 (82.070)
Epoch: [61][6210/9018]	Time 0.621 (0.624)	Data 0.014 (0.003)	Loss 1.7325 (1.7935)	Prec@1 52.000 (52.618)	Prec@5 82.500 (82.072)
Epoch: [61][6220/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6540 (1.7934)	Prec@1 48.500 (52.618)	Prec@5 89.500 (82.074)
Epoch: [61][6230/9018]	Time 0.614 (0.624)	Data 0.008 (0.003)	Loss 1.8711 (1.7935)	Prec@1 54.500 (52.618)	Prec@5 79.000 (82.073)
Epoch: [61][6240/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.8251 (1.7935)	Prec@1 51.500 (52.619)	Prec@5 78.000 (82.073)
Epoch: [61][6250/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8336 (1.7934)	Prec@1 53.000 (52.620)	Prec@5 80.500 (82.074)
Epoch: [61][6260/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.8494 (1.7933)	Prec@1 52.000 (52.622)	Prec@5 78.500 (82.075)
Epoch: [61][6270/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7303 (1.7933)	Prec@1 59.000 (52.623)	Prec@5 84.000 (82.076)
Epoch: [61][6280/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.9937 (1.7934)	Prec@1 49.000 (52.620)	Prec@5 77.000 (82.075)
Epoch: [61][6290/9018]	Time 0.651 (0.623)	Data 0.001 (0.003)	Loss 1.6170 (1.7934)	Prec@1 57.500 (52.620)	Prec@5 84.000 (82.073)
Epoch: [61][6300/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7318 (1.7934)	Prec@1 54.500 (52.619)	Prec@5 82.500 (82.073)
Epoch: [61][6310/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6138 (1.7933)	Prec@1 58.500 (52.621)	Prec@5 86.000 (82.076)
Epoch: [61][6320/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6285 (1.7933)	Prec@1 52.000 (52.621)	Prec@5 83.500 (82.075)
Epoch: [61][6330/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8522 (1.7933)	Prec@1 52.500 (52.622)	Prec@5 80.000 (82.076)
Epoch: [61][6340/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7353 (1.7932)	Prec@1 52.500 (52.623)	Prec@5 82.500 (82.077)
Epoch: [61][6350/9018]	Time 0.616 (0.623)	Data 0.012 (0.003)	Loss 2.0560 (1.7932)	Prec@1 47.500 (52.625)	Prec@5 77.000 (82.075)
Epoch: [61][6360/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.8527 (1.7933)	Prec@1 52.000 (52.624)	Prec@5 81.000 (82.075)
Epoch: [61][6370/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.7280 (1.7933)	Prec@1 55.000 (52.627)	Prec@5 87.000 (82.075)
Epoch: [61][6380/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7264 (1.7932)	Prec@1 54.000 (52.631)	Prec@5 86.000 (82.077)
Epoch: [61][6390/9018]	Time 0.609 (0.623)	Data 0.014 (0.003)	Loss 1.5288 (1.7930)	Prec@1 60.000 (52.633)	Prec@5 86.500 (82.079)
Epoch: [61][6400/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 2.0896 (1.7930)	Prec@1 45.000 (52.632)	Prec@5 75.500 (82.079)
Epoch: [61][6410/9018]	Time 0.594 (0.623)	Data 0.014 (0.003)	Loss 1.6091 (1.7929)	Prec@1 54.500 (52.632)	Prec@5 85.000 (82.081)
Epoch: [61][6420/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7385 (1.7929)	Prec@1 53.500 (52.633)	Prec@5 82.000 (82.081)
Epoch: [61][6430/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.8187 (1.7929)	Prec@1 46.000 (52.631)	Prec@5 84.000 (82.080)
Epoch: [61][6440/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.8775 (1.7929)	Prec@1 53.500 (52.632)	Prec@5 80.000 (82.079)
Epoch: [61][6450/9018]	Time 0.619 (0.623)	Data 0.002 (0.003)	Loss 1.8215 (1.7929)	Prec@1 54.000 (52.633)	Prec@5 82.500 (82.079)
Epoch: [61][6460/9018]	Time 0.624 (0.623)	Data 0.002 (0.003)	Loss 1.8383 (1.7929)	Prec@1 54.000 (52.632)	Prec@5 80.000 (82.078)
Epoch: [61][6470/9018]	Time 0.771 (0.623)	Data 0.001 (0.003)	Loss 1.8537 (1.7928)	Prec@1 53.500 (52.635)	Prec@5 84.000 (82.081)
Epoch: [61][6480/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.9253 (1.7928)	Prec@1 47.500 (52.633)	Prec@5 81.000 (82.081)
Epoch: [61][6490/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7171 (1.7928)	Prec@1 56.000 (52.632)	Prec@5 83.500 (82.079)
Epoch: [61][6500/9018]	Time 0.615 (0.623)	Data 0.005 (0.003)	Loss 1.7966 (1.7928)	Prec@1 51.000 (52.632)	Prec@5 81.500 (82.081)
Epoch: [61][6510/9018]	Time 0.602 (0.623)	Data 0.015 (0.003)	Loss 1.7380 (1.7927)	Prec@1 56.000 (52.634)	Prec@5 83.500 (82.082)
Epoch: [61][6520/9018]	Time 0.748 (0.623)	Data 0.001 (0.003)	Loss 1.6495 (1.7927)	Prec@1 61.500 (52.636)	Prec@5 81.000 (82.082)
Epoch: [61][6530/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8797 (1.7926)	Prec@1 49.500 (52.636)	Prec@5 80.500 (82.084)
Epoch: [61][6540/9018]	Time 0.598 (0.623)	Data 0.013 (0.003)	Loss 2.0023 (1.7926)	Prec@1 52.500 (52.637)	Prec@5 79.000 (82.086)
Epoch: [61][6550/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 2.0271 (1.7928)	Prec@1 47.500 (52.634)	Prec@5 76.000 (82.083)
Epoch: [61][6560/9018]	Time 0.604 (0.623)	Data 0.008 (0.003)	Loss 1.9665 (1.7927)	Prec@1 48.500 (52.636)	Prec@5 82.500 (82.085)
Epoch: [61][6570/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.7876 (1.7927)	Prec@1 51.000 (52.635)	Prec@5 83.500 (82.085)
Epoch: [61][6580/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7550 (1.7927)	Prec@1 59.500 (52.639)	Prec@5 81.500 (82.087)
Epoch: [61][6590/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7919 (1.7927)	Prec@1 54.500 (52.637)	Prec@5 82.500 (82.087)
Epoch: [61][6600/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7952 (1.7927)	Prec@1 53.000 (52.636)	Prec@5 82.500 (82.085)
Epoch: [61][6610/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6480 (1.7927)	Prec@1 57.000 (52.636)	Prec@5 87.000 (82.086)
Epoch: [61][6620/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8132 (1.7927)	Prec@1 54.000 (52.636)	Prec@5 84.000 (82.087)
Epoch: [61][6630/9018]	Time 0.622 (0.623)	Data 0.016 (0.003)	Loss 1.6840 (1.7927)	Prec@1 54.000 (52.635)	Prec@5 81.000 (82.086)
Epoch: [61][6640/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8881 (1.7926)	Prec@1 52.000 (52.639)	Prec@5 81.500 (82.088)
Epoch: [61][6650/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.9056 (1.7926)	Prec@1 52.000 (52.640)	Prec@5 80.000 (82.089)
Epoch: [61][6660/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.9565 (1.7926)	Prec@1 52.500 (52.640)	Prec@5 77.500 (82.088)
Epoch: [61][6670/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7547 (1.7926)	Prec@1 56.500 (52.641)	Prec@5 83.000 (82.088)
Epoch: [61][6680/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8100 (1.7926)	Prec@1 54.000 (52.641)	Prec@5 82.000 (82.089)
Epoch: [61][6690/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7809 (1.7926)	Prec@1 58.500 (52.641)	Prec@5 82.500 (82.089)
Epoch: [61][6700/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.8630 (1.7927)	Prec@1 53.000 (52.638)	Prec@5 79.500 (82.088)
Epoch: [61][6710/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7693 (1.7926)	Prec@1 51.500 (52.640)	Prec@5 82.500 (82.089)
Epoch: [61][6720/9018]	Time 0.630 (0.623)	Data 0.003 (0.003)	Loss 1.7765 (1.7924)	Prec@1 52.500 (52.642)	Prec@5 81.500 (82.092)
Epoch: [61][6730/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6680 (1.7924)	Prec@1 55.500 (52.641)	Prec@5 82.000 (82.093)
Epoch: [61][6740/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.8396 (1.7924)	Prec@1 54.000 (52.643)	Prec@5 80.500 (82.094)
Epoch: [61][6750/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6889 (1.7924)	Prec@1 56.000 (52.643)	Prec@5 81.500 (82.094)
Epoch: [61][6760/9018]	Time 0.592 (0.623)	Data 0.017 (0.003)	Loss 1.6327 (1.7923)	Prec@1 55.500 (52.643)	Prec@5 83.000 (82.095)
Epoch: [61][6770/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.9669 (1.7924)	Prec@1 48.500 (52.640)	Prec@5 77.500 (82.095)
Epoch: [61][6780/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.8157 (1.7924)	Prec@1 51.500 (52.640)	Prec@5 83.500 (82.094)
Epoch: [61][6790/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.9041 (1.7923)	Prec@1 51.000 (52.643)	Prec@5 78.500 (82.094)
Epoch: [61][6800/9018]	Time 0.758 (0.623)	Data 0.002 (0.003)	Loss 1.8103 (1.7922)	Prec@1 53.000 (52.644)	Prec@5 83.500 (82.096)
Epoch: [61][6810/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8073 (1.7922)	Prec@1 55.500 (52.645)	Prec@5 84.000 (82.098)
Epoch: [61][6820/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7373 (1.7922)	Prec@1 49.500 (52.646)	Prec@5 83.500 (82.099)
Epoch: [61][6830/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7587 (1.7921)	Prec@1 55.000 (52.645)	Prec@5 80.500 (82.099)
Epoch: [61][6840/9018]	Time 0.613 (0.623)	Data 0.004 (0.003)	Loss 1.7418 (1.7920)	Prec@1 57.000 (52.645)	Prec@5 83.500 (82.101)
Epoch: [61][6850/9018]	Time 0.755 (0.623)	Data 0.001 (0.003)	Loss 1.7748 (1.7921)	Prec@1 50.000 (52.642)	Prec@5 82.500 (82.100)
Epoch: [61][6860/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8006 (1.7921)	Prec@1 55.500 (52.642)	Prec@5 84.500 (82.101)
Epoch: [61][6870/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8749 (1.7920)	Prec@1 48.500 (52.644)	Prec@5 81.500 (82.102)
Epoch: [61][6880/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.5030 (1.7920)	Prec@1 60.500 (52.646)	Prec@5 88.000 (82.104)
Epoch: [61][6890/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.9300 (1.7920)	Prec@1 47.500 (52.646)	Prec@5 78.000 (82.101)
Epoch: [61][6900/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6672 (1.7920)	Prec@1 57.500 (52.645)	Prec@5 83.500 (82.101)
Epoch: [61][6910/9018]	Time 0.613 (0.623)	Data 0.006 (0.003)	Loss 1.8698 (1.7920)	Prec@1 51.000 (52.646)	Prec@5 81.500 (82.099)
Epoch: [61][6920/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 2.0830 (1.7921)	Prec@1 50.500 (52.646)	Prec@5 78.000 (82.099)
Epoch: [61][6930/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.8274 (1.7921)	Prec@1 49.500 (52.644)	Prec@5 86.500 (82.101)
Epoch: [61][6940/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.9059 (1.7921)	Prec@1 51.000 (52.644)	Prec@5 78.500 (82.099)
Epoch: [61][6950/9018]	Time 0.626 (0.623)	Data 0.015 (0.003)	Loss 1.6529 (1.7921)	Prec@1 55.500 (52.644)	Prec@5 84.500 (82.100)
Epoch: [61][6960/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7463 (1.7922)	Prec@1 54.000 (52.640)	Prec@5 83.000 (82.098)
Epoch: [61][6970/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7236 (1.7921)	Prec@1 54.500 (52.641)	Prec@5 83.500 (82.100)
Epoch: [61][6980/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.9268 (1.7922)	Prec@1 52.500 (52.639)	Prec@5 78.500 (82.098)
Epoch: [61][6990/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8555 (1.7922)	Prec@1 51.000 (52.639)	Prec@5 82.500 (82.100)
Epoch: [61][7000/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7684 (1.7921)	Prec@1 54.500 (52.641)	Prec@5 83.500 (82.100)
Epoch: [61][7010/9018]	Time 0.627 (0.623)	Data 0.016 (0.003)	Loss 1.8505 (1.7921)	Prec@1 51.000 (52.642)	Prec@5 78.000 (82.100)
Epoch: [61][7020/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7517 (1.7921)	Prec@1 57.000 (52.642)	Prec@5 83.000 (82.097)
Epoch: [61][7030/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.7017 (1.7922)	Prec@1 53.000 (52.639)	Prec@5 83.000 (82.097)
Epoch: [61][7040/9018]	Time 0.603 (0.623)	Data 0.009 (0.003)	Loss 1.8900 (1.7921)	Prec@1 54.500 (52.641)	Prec@5 79.500 (82.099)
Epoch: [61][7050/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6857 (1.7920)	Prec@1 54.000 (52.641)	Prec@5 81.000 (82.100)
Epoch: [61][7060/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.8876 (1.7921)	Prec@1 46.500 (52.639)	Prec@5 85.000 (82.100)
Epoch: [61][7070/9018]	Time 0.627 (0.623)	Data 0.014 (0.003)	Loss 1.9803 (1.7921)	Prec@1 50.000 (52.640)	Prec@5 80.500 (82.100)
Epoch: [61][7080/9018]	Time 0.589 (0.623)	Data 0.001 (0.003)	Loss 1.8346 (1.7920)	Prec@1 50.500 (52.641)	Prec@5 82.500 (82.100)
Epoch: [61][7090/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.8031 (1.7921)	Prec@1 53.000 (52.640)	Prec@5 81.500 (82.100)
Epoch: [61][7100/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.8074 (1.7920)	Prec@1 51.000 (52.642)	Prec@5 82.000 (82.100)
Epoch: [61][7110/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8361 (1.7920)	Prec@1 49.500 (52.642)	Prec@5 82.000 (82.102)
Epoch: [61][7120/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8563 (1.7920)	Prec@1 49.000 (52.643)	Prec@5 80.500 (82.100)
Epoch: [61][7130/9018]	Time 0.767 (0.623)	Data 0.015 (0.003)	Loss 1.7872 (1.7920)	Prec@1 53.000 (52.643)	Prec@5 85.500 (82.099)
Epoch: [61][7140/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6607 (1.7919)	Prec@1 57.000 (52.645)	Prec@5 83.500 (82.100)
Epoch: [61][7150/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.9388 (1.7920)	Prec@1 52.000 (52.644)	Prec@5 80.500 (82.098)
Epoch: [61][7160/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.8451 (1.7920)	Prec@1 54.500 (52.643)	Prec@5 83.500 (82.097)
Epoch: [61][7170/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.9359 (1.7920)	Prec@1 48.000 (52.645)	Prec@5 80.000 (82.098)
Epoch: [61][7180/9018]	Time 0.754 (0.623)	Data 0.002 (0.003)	Loss 1.6057 (1.7919)	Prec@1 57.500 (52.648)	Prec@5 84.500 (82.099)
Epoch: [61][7190/9018]	Time 0.626 (0.623)	Data 0.017 (0.003)	Loss 1.8932 (1.7918)	Prec@1 50.000 (52.647)	Prec@5 82.000 (82.100)
Epoch: [61][7200/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7127 (1.7918)	Prec@1 55.000 (52.648)	Prec@5 82.000 (82.101)
Epoch: [61][7210/9018]	Time 0.646 (0.623)	Data 0.017 (0.003)	Loss 1.7807 (1.7919)	Prec@1 54.000 (52.648)	Prec@5 81.000 (82.100)
Epoch: [61][7220/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7320 (1.7919)	Prec@1 52.500 (52.647)	Prec@5 86.500 (82.100)
Epoch: [61][7230/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.9566 (1.7919)	Prec@1 51.000 (52.645)	Prec@5 76.500 (82.099)
Epoch: [61][7240/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7244 (1.7920)	Prec@1 51.500 (52.644)	Prec@5 82.500 (82.098)
Epoch: [61][7250/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7035 (1.7919)	Prec@1 54.500 (52.647)	Prec@5 83.500 (82.100)
Epoch: [61][7260/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.6309 (1.7918)	Prec@1 52.000 (52.648)	Prec@5 85.500 (82.101)
Epoch: [61][7270/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7040 (1.7918)	Prec@1 56.500 (52.650)	Prec@5 81.500 (82.100)
Epoch: [61][7280/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7692 (1.7917)	Prec@1 55.500 (52.650)	Prec@5 82.500 (82.100)
Epoch: [61][7290/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8750 (1.7918)	Prec@1 51.500 (52.647)	Prec@5 80.500 (82.099)
Epoch: [61][7300/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.9432 (1.7919)	Prec@1 45.500 (52.647)	Prec@5 81.000 (82.097)
Epoch: [61][7310/9018]	Time 0.596 (0.623)	Data 0.017 (0.003)	Loss 2.0873 (1.7919)	Prec@1 45.500 (52.645)	Prec@5 78.500 (82.096)
Epoch: [61][7320/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.9331 (1.7920)	Prec@1 48.000 (52.643)	Prec@5 80.000 (82.095)
Epoch: [61][7330/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7358 (1.7919)	Prec@1 56.000 (52.646)	Prec@5 84.000 (82.097)
Epoch: [61][7340/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7843 (1.7919)	Prec@1 53.500 (52.647)	Prec@5 83.500 (82.098)
Epoch: [61][7350/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7881 (1.7920)	Prec@1 52.000 (52.647)	Prec@5 79.500 (82.097)
Epoch: [61][7360/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7312 (1.7919)	Prec@1 56.500 (52.647)	Prec@5 83.500 (82.098)
Epoch: [61][7370/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.9757 (1.7919)	Prec@1 48.000 (52.649)	Prec@5 79.000 (82.099)
Epoch: [61][7380/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.8890 (1.7919)	Prec@1 49.500 (52.648)	Prec@5 78.500 (82.098)
Epoch: [61][7390/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8756 (1.7919)	Prec@1 50.000 (52.647)	Prec@5 81.000 (82.099)
Epoch: [61][7400/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6416 (1.7919)	Prec@1 56.500 (52.646)	Prec@5 84.500 (82.100)
Epoch: [61][7410/9018]	Time 0.790 (0.623)	Data 0.001 (0.003)	Loss 1.6933 (1.7918)	Prec@1 53.000 (52.648)	Prec@5 84.000 (82.100)
Epoch: [61][7420/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7501 (1.7918)	Prec@1 50.000 (52.648)	Prec@5 82.500 (82.100)
Epoch: [61][7430/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.5092 (1.7917)	Prec@1 59.500 (52.650)	Prec@5 88.000 (82.101)
Epoch: [61][7440/9018]	Time 0.645 (0.623)	Data 0.001 (0.003)	Loss 1.7845 (1.7918)	Prec@1 51.000 (52.649)	Prec@5 79.500 (82.099)
Epoch: [61][7450/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6682 (1.7918)	Prec@1 55.500 (52.649)	Prec@5 81.500 (82.099)
Epoch: [61][7460/9018]	Time 0.735 (0.623)	Data 0.017 (0.003)	Loss 1.7714 (1.7917)	Prec@1 54.500 (52.650)	Prec@5 84.000 (82.099)
Epoch: [61][7470/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.8217 (1.7918)	Prec@1 52.000 (52.648)	Prec@5 83.500 (82.100)
Epoch: [61][7480/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7564 (1.7918)	Prec@1 53.500 (52.649)	Prec@5 82.500 (82.099)
Epoch: [61][7490/9018]	Time 0.608 (0.623)	Data 0.016 (0.003)	Loss 1.7556 (1.7917)	Prec@1 51.500 (52.651)	Prec@5 83.000 (82.100)
Epoch: [61][7500/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7373 (1.7916)	Prec@1 54.000 (52.653)	Prec@5 82.500 (82.101)
Epoch: [61][7510/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.8084 (1.7917)	Prec@1 52.500 (52.652)	Prec@5 85.500 (82.101)
Epoch: [61][7520/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.9685 (1.7917)	Prec@1 47.000 (52.652)	Prec@5 78.000 (82.101)
Epoch: [61][7530/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7082 (1.7917)	Prec@1 57.500 (52.651)	Prec@5 82.500 (82.100)
Epoch: [61][7540/9018]	Time 0.628 (0.623)	Data 0.012 (0.003)	Loss 1.8249 (1.7919)	Prec@1 50.000 (52.650)	Prec@5 84.000 (82.097)
Epoch: [61][7550/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7671 (1.7918)	Prec@1 49.000 (52.652)	Prec@5 82.000 (82.098)
Epoch: [61][7560/9018]	Time 0.615 (0.623)	Data 0.015 (0.003)	Loss 1.8088 (1.7918)	Prec@1 54.500 (52.650)	Prec@5 85.000 (82.098)
Epoch: [61][7570/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8333 (1.7918)	Prec@1 52.000 (52.652)	Prec@5 80.000 (82.099)
Epoch: [61][7580/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7093 (1.7917)	Prec@1 55.000 (52.654)	Prec@5 85.000 (82.099)
Epoch: [61][7590/9018]	Time 0.622 (0.623)	Data 0.012 (0.003)	Loss 1.9716 (1.7916)	Prec@1 50.500 (52.654)	Prec@5 79.500 (82.100)
Epoch: [61][7600/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.9322 (1.7916)	Prec@1 51.000 (52.656)	Prec@5 78.500 (82.101)
Epoch: [61][7610/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7124 (1.7917)	Prec@1 53.000 (52.654)	Prec@5 82.500 (82.100)
Epoch: [61][7620/9018]	Time 0.619 (0.623)	Data 0.004 (0.003)	Loss 1.7044 (1.7918)	Prec@1 54.500 (52.652)	Prec@5 85.500 (82.100)
Epoch: [61][7630/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6841 (1.7918)	Prec@1 55.500 (52.652)	Prec@5 84.500 (82.099)
Epoch: [61][7640/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.9329 (1.7918)	Prec@1 50.500 (52.651)	Prec@5 81.000 (82.097)
Epoch: [61][7650/9018]	Time 0.618 (0.623)	Data 0.015 (0.003)	Loss 1.8439 (1.7916)	Prec@1 47.500 (52.653)	Prec@5 80.500 (82.099)
Epoch: [61][7660/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8777 (1.7915)	Prec@1 53.000 (52.659)	Prec@5 80.000 (82.101)
Epoch: [61][7670/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8436 (1.7914)	Prec@1 55.500 (52.663)	Prec@5 79.000 (82.103)
Epoch: [61][7680/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6966 (1.7913)	Prec@1 57.500 (52.663)	Prec@5 84.000 (82.105)
Epoch: [61][7690/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.9787 (1.7913)	Prec@1 48.000 (52.661)	Prec@5 81.500 (82.105)
Epoch: [61][7700/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7320 (1.7912)	Prec@1 54.000 (52.664)	Prec@5 84.000 (82.108)
Epoch: [61][7710/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8828 (1.7913)	Prec@1 51.500 (52.661)	Prec@5 78.500 (82.107)
Epoch: [61][7720/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7426 (1.7913)	Prec@1 57.000 (52.663)	Prec@5 84.000 (82.108)
Epoch: [61][7730/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.8986 (1.7913)	Prec@1 51.500 (52.664)	Prec@5 77.500 (82.109)
Epoch: [61][7740/9018]	Time 0.794 (0.623)	Data 0.001 (0.003)	Loss 1.7677 (1.7912)	Prec@1 52.500 (52.664)	Prec@5 81.500 (82.109)
Epoch: [61][7750/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8610 (1.7913)	Prec@1 51.000 (52.662)	Prec@5 85.000 (82.107)
Epoch: [61][7760/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6734 (1.7913)	Prec@1 53.500 (52.662)	Prec@5 85.500 (82.109)
Epoch: [61][7770/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7830 (1.7912)	Prec@1 49.500 (52.662)	Prec@5 85.500 (82.109)
Epoch: [61][7780/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7564 (1.7913)	Prec@1 55.000 (52.663)	Prec@5 80.500 (82.108)
Epoch: [61][7790/9018]	Time 0.733 (0.623)	Data 0.014 (0.003)	Loss 1.7054 (1.7913)	Prec@1 49.000 (52.661)	Prec@5 86.500 (82.108)
Epoch: [61][7800/9018]	Time 0.613 (0.623)	Data 0.015 (0.003)	Loss 1.7049 (1.7913)	Prec@1 55.000 (52.660)	Prec@5 86.000 (82.107)
Epoch: [61][7810/9018]	Time 0.608 (0.623)	Data 0.012 (0.003)	Loss 1.6426 (1.7912)	Prec@1 58.500 (52.663)	Prec@5 83.000 (82.110)
Epoch: [61][7820/9018]	Time 0.629 (0.623)	Data 0.002 (0.003)	Loss 1.6933 (1.7912)	Prec@1 56.000 (52.662)	Prec@5 84.500 (82.110)
Epoch: [61][7830/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.9389 (1.7913)	Prec@1 50.500 (52.663)	Prec@5 78.000 (82.108)
Epoch: [61][7840/9018]	Time 0.632 (0.623)	Data 0.013 (0.003)	Loss 1.8611 (1.7913)	Prec@1 49.500 (52.661)	Prec@5 79.500 (82.107)
Epoch: [61][7850/9018]	Time 0.604 (0.623)	Data 0.017 (0.003)	Loss 1.7228 (1.7912)	Prec@1 54.000 (52.664)	Prec@5 84.500 (82.106)
Epoch: [61][7860/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.7577 (1.7912)	Prec@1 53.500 (52.664)	Prec@5 80.000 (82.106)
Epoch: [61][7870/9018]	Time 0.613 (0.623)	Data 0.013 (0.003)	Loss 1.7084 (1.7911)	Prec@1 54.000 (52.665)	Prec@5 85.500 (82.108)
Epoch: [61][7880/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 2.1355 (1.7911)	Prec@1 47.500 (52.665)	Prec@5 74.500 (82.109)
Epoch: [61][7890/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.9591 (1.7911)	Prec@1 54.500 (52.666)	Prec@5 76.000 (82.108)
Epoch: [61][7900/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.4710 (1.7911)	Prec@1 60.000 (52.666)	Prec@5 89.500 (82.109)
Epoch: [61][7910/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8993 (1.7911)	Prec@1 49.500 (52.665)	Prec@5 81.500 (82.108)
Epoch: [61][7920/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6540 (1.7911)	Prec@1 55.500 (52.665)	Prec@5 85.000 (82.110)
Epoch: [61][7930/9018]	Time 0.620 (0.623)	Data 0.013 (0.003)	Loss 1.6651 (1.7911)	Prec@1 58.000 (52.664)	Prec@5 85.000 (82.109)
Epoch: [61][7940/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6647 (1.7910)	Prec@1 56.500 (52.667)	Prec@5 82.500 (82.111)
Epoch: [61][7950/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8992 (1.7910)	Prec@1 49.000 (52.667)	Prec@5 79.500 (82.111)
Epoch: [61][7960/9018]	Time 0.604 (0.623)	Data 0.007 (0.003)	Loss 1.8846 (1.7910)	Prec@1 50.000 (52.668)	Prec@5 82.000 (82.111)
Epoch: [61][7970/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.9123 (1.7911)	Prec@1 47.000 (52.667)	Prec@5 82.000 (82.111)
Epoch: [61][7980/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6858 (1.7911)	Prec@1 55.000 (52.666)	Prec@5 84.500 (82.110)
Epoch: [61][7990/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.4883 (1.7911)	Prec@1 60.000 (52.666)	Prec@5 83.500 (82.111)
Epoch: [61][8000/9018]	Time 0.598 (0.623)	Data 0.016 (0.003)	Loss 1.8683 (1.7911)	Prec@1 52.000 (52.664)	Prec@5 80.500 (82.110)
Epoch: [61][8010/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.6770 (1.7911)	Prec@1 57.000 (52.665)	Prec@5 86.000 (82.110)
Epoch: [61][8020/9018]	Time 0.618 (0.623)	Data 0.002 (0.003)	Loss 1.9781 (1.7911)	Prec@1 45.000 (52.664)	Prec@5 82.000 (82.111)
Epoch: [61][8030/9018]	Time 0.613 (0.623)	Data 0.002 (0.003)	Loss 1.6908 (1.7911)	Prec@1 58.000 (52.664)	Prec@5 81.000 (82.111)
Epoch: [61][8040/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.9295 (1.7911)	Prec@1 48.500 (52.663)	Prec@5 83.000 (82.110)
Epoch: [61][8050/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.5881 (1.7911)	Prec@1 57.000 (52.663)	Prec@5 86.500 (82.111)
Epoch: [61][8060/9018]	Time 0.596 (0.623)	Data 0.016 (0.003)	Loss 1.6671 (1.7911)	Prec@1 58.000 (52.665)	Prec@5 84.000 (82.111)
Epoch: [61][8070/9018]	Time 0.724 (0.623)	Data 0.017 (0.003)	Loss 1.7915 (1.7912)	Prec@1 51.500 (52.663)	Prec@5 85.000 (82.110)
Epoch: [61][8080/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8042 (1.7911)	Prec@1 55.500 (52.665)	Prec@5 83.500 (82.111)
Epoch: [61][8090/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.8201 (1.7911)	Prec@1 51.500 (52.665)	Prec@5 80.500 (82.112)
Epoch: [61][8100/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8032 (1.7910)	Prec@1 52.500 (52.668)	Prec@5 79.500 (82.113)
Epoch: [61][8110/9018]	Time 0.621 (0.623)	Data 0.018 (0.003)	Loss 1.7806 (1.7909)	Prec@1 56.500 (52.670)	Prec@5 83.500 (82.115)
Epoch: [61][8120/9018]	Time 0.712 (0.623)	Data 0.001 (0.003)	Loss 1.9679 (1.7910)	Prec@1 50.000 (52.669)	Prec@5 81.000 (82.115)
Epoch: [61][8130/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.5640 (1.7909)	Prec@1 54.500 (52.670)	Prec@5 85.500 (82.116)
Epoch: [61][8140/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7543 (1.7909)	Prec@1 50.500 (52.669)	Prec@5 84.500 (82.116)
Epoch: [61][8150/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7624 (1.7907)	Prec@1 51.500 (52.672)	Prec@5 83.500 (82.119)
Epoch: [61][8160/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5650 (1.7908)	Prec@1 54.500 (52.670)	Prec@5 84.500 (82.118)
Epoch: [61][8170/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6687 (1.7908)	Prec@1 51.500 (52.671)	Prec@5 85.500 (82.118)
Epoch: [61][8180/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8468 (1.7909)	Prec@1 52.000 (52.669)	Prec@5 81.500 (82.117)
Epoch: [61][8190/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8674 (1.7909)	Prec@1 55.000 (52.671)	Prec@5 80.000 (82.118)
Epoch: [61][8200/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7813 (1.7908)	Prec@1 51.500 (52.671)	Prec@5 82.000 (82.119)
Epoch: [61][8210/9018]	Time 0.623 (0.623)	Data 0.008 (0.003)	Loss 1.7392 (1.7908)	Prec@1 54.500 (52.673)	Prec@5 82.000 (82.119)
Epoch: [61][8220/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7955 (1.7907)	Prec@1 56.000 (52.673)	Prec@5 80.000 (82.120)
Epoch: [61][8230/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6735 (1.7908)	Prec@1 52.000 (52.673)	Prec@5 83.500 (82.120)
Epoch: [61][8240/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.6891 (1.7909)	Prec@1 52.000 (52.670)	Prec@5 85.000 (82.118)
Epoch: [61][8250/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7807 (1.7909)	Prec@1 52.500 (52.670)	Prec@5 80.000 (82.118)
Epoch: [61][8260/9018]	Time 0.604 (0.623)	Data 0.008 (0.003)	Loss 1.8253 (1.7909)	Prec@1 53.000 (52.669)	Prec@5 80.500 (82.118)
Epoch: [61][8270/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.8266 (1.7908)	Prec@1 52.500 (52.670)	Prec@5 82.000 (82.119)
Epoch: [61][8280/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 2.0672 (1.7908)	Prec@1 46.500 (52.670)	Prec@5 78.500 (82.119)
Epoch: [61][8290/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7790 (1.7908)	Prec@1 55.000 (52.672)	Prec@5 79.000 (82.118)
Epoch: [61][8300/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8430 (1.7908)	Prec@1 51.000 (52.670)	Prec@5 80.500 (82.118)
Epoch: [61][8310/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.5336 (1.7909)	Prec@1 56.500 (52.668)	Prec@5 86.500 (82.117)
Epoch: [61][8320/9018]	Time 0.620 (0.623)	Data 0.012 (0.003)	Loss 1.6669 (1.7909)	Prec@1 53.000 (52.667)	Prec@5 86.500 (82.118)
Epoch: [61][8330/9018]	Time 0.616 (0.623)	Data 0.007 (0.003)	Loss 1.9240 (1.7910)	Prec@1 52.000 (52.667)	Prec@5 79.000 (82.117)
Epoch: [61][8340/9018]	Time 0.631 (0.623)	Data 0.004 (0.003)	Loss 1.5526 (1.7909)	Prec@1 63.000 (52.671)	Prec@5 85.000 (82.119)
Epoch: [61][8350/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.8063 (1.7909)	Prec@1 54.000 (52.670)	Prec@5 84.000 (82.119)
Epoch: [61][8360/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.6701 (1.7909)	Prec@1 58.000 (52.671)	Prec@5 83.000 (82.119)
Epoch: [61][8370/9018]	Time 0.617 (0.623)	Data 0.012 (0.003)	Loss 1.6549 (1.7909)	Prec@1 56.000 (52.671)	Prec@5 85.500 (82.119)
Epoch: [61][8380/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.5678 (1.7909)	Prec@1 53.000 (52.671)	Prec@5 86.000 (82.119)
Epoch: [61][8390/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7354 (1.7909)	Prec@1 54.500 (52.672)	Prec@5 81.500 (82.119)
Epoch: [61][8400/9018]	Time 0.743 (0.623)	Data 0.004 (0.003)	Loss 1.9286 (1.7909)	Prec@1 51.000 (52.672)	Prec@5 79.500 (82.118)
Epoch: [61][8410/9018]	Time 0.609 (0.623)	Data 0.013 (0.003)	Loss 1.7461 (1.7909)	Prec@1 56.500 (52.671)	Prec@5 80.500 (82.118)
Epoch: [61][8420/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.8739 (1.7909)	Prec@1 52.500 (52.672)	Prec@5 82.000 (82.119)
Epoch: [61][8430/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.5880 (1.7909)	Prec@1 55.500 (52.672)	Prec@5 86.000 (82.119)
Epoch: [61][8440/9018]	Time 0.627 (0.623)	Data 0.016 (0.003)	Loss 2.1003 (1.7910)	Prec@1 44.500 (52.670)	Prec@5 76.500 (82.118)
Epoch: [61][8450/9018]	Time 0.779 (0.623)	Data 0.001 (0.003)	Loss 1.7346 (1.7910)	Prec@1 51.000 (52.669)	Prec@5 85.000 (82.119)
Epoch: [61][8460/9018]	Time 0.606 (0.623)	Data 0.012 (0.003)	Loss 1.9049 (1.7909)	Prec@1 51.500 (52.670)	Prec@5 77.000 (82.119)
Epoch: [61][8470/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8602 (1.7909)	Prec@1 50.500 (52.670)	Prec@5 83.000 (82.120)
Epoch: [61][8480/9018]	Time 0.605 (0.623)	Data 0.015 (0.003)	Loss 1.8800 (1.7909)	Prec@1 54.500 (52.670)	Prec@5 81.500 (82.121)
Epoch: [61][8490/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.8284 (1.7909)	Prec@1 50.500 (52.671)	Prec@5 81.500 (82.121)
Epoch: [61][8500/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7073 (1.7909)	Prec@1 55.500 (52.672)	Prec@5 83.000 (82.120)
Epoch: [61][8510/9018]	Time 0.644 (0.623)	Data 0.001 (0.003)	Loss 1.7847 (1.7909)	Prec@1 55.500 (52.672)	Prec@5 80.000 (82.120)
Epoch: [61][8520/9018]	Time 0.644 (0.623)	Data 0.001 (0.003)	Loss 1.8565 (1.7909)	Prec@1 45.500 (52.671)	Prec@5 84.000 (82.122)
Epoch: [61][8530/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6615 (1.7908)	Prec@1 52.000 (52.672)	Prec@5 85.500 (82.122)
Epoch: [61][8540/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.8966 (1.7908)	Prec@1 49.000 (52.671)	Prec@5 80.500 (82.121)
Epoch: [61][8550/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6807 (1.7907)	Prec@1 56.500 (52.674)	Prec@5 85.500 (82.123)
Epoch: [61][8560/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7708 (1.7907)	Prec@1 53.000 (52.676)	Prec@5 85.000 (82.125)
Epoch: [61][8570/9018]	Time 0.625 (0.623)	Data 0.015 (0.003)	Loss 1.7857 (1.7906)	Prec@1 50.000 (52.676)	Prec@5 82.000 (82.126)
Epoch: [61][8580/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.8215 (1.7907)	Prec@1 50.000 (52.676)	Prec@5 81.000 (82.124)
Epoch: [61][8590/9018]	Time 0.593 (0.623)	Data 0.004 (0.003)	Loss 1.7795 (1.7906)	Prec@1 54.000 (52.676)	Prec@5 81.000 (82.125)
Epoch: [61][8600/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8345 (1.7906)	Prec@1 49.000 (52.677)	Prec@5 80.000 (82.124)
Epoch: [61][8610/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.8927 (1.7906)	Prec@1 52.500 (52.676)	Prec@5 81.000 (82.125)
Epoch: [61][8620/9018]	Time 0.614 (0.623)	Data 0.019 (0.003)	Loss 1.8187 (1.7906)	Prec@1 57.000 (52.677)	Prec@5 83.500 (82.125)
Epoch: [61][8630/9018]	Time 0.619 (0.623)	Data 0.017 (0.003)	Loss 1.5420 (1.7907)	Prec@1 60.500 (52.676)	Prec@5 87.000 (82.125)
Epoch: [61][8640/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.8325 (1.7907)	Prec@1 51.500 (52.675)	Prec@5 84.000 (82.125)
Epoch: [61][8650/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8333 (1.7907)	Prec@1 53.000 (52.676)	Prec@5 81.000 (82.125)
Epoch: [61][8660/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.5124 (1.7906)	Prec@1 57.500 (52.675)	Prec@5 88.000 (82.127)
Epoch: [61][8670/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6399 (1.7907)	Prec@1 55.500 (52.674)	Prec@5 86.500 (82.125)
Epoch: [61][8680/9018]	Time 0.620 (0.623)	Data 0.004 (0.003)	Loss 1.8886 (1.7906)	Prec@1 50.500 (52.674)	Prec@5 80.000 (82.126)
Epoch: [61][8690/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7471 (1.7906)	Prec@1 53.000 (52.675)	Prec@5 81.500 (82.127)
Epoch: [61][8700/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.8273 (1.7906)	Prec@1 55.500 (52.675)	Prec@5 83.000 (82.127)
Epoch: [61][8710/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7489 (1.7906)	Prec@1 54.000 (52.675)	Prec@5 84.500 (82.127)
Epoch: [61][8720/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6588 (1.7905)	Prec@1 60.000 (52.678)	Prec@5 81.000 (82.129)
Epoch: [61][8730/9018]	Time 0.777 (0.623)	Data 0.001 (0.003)	Loss 1.6714 (1.7905)	Prec@1 55.000 (52.678)	Prec@5 85.000 (82.128)
Epoch: [61][8740/9018]	Time 0.651 (0.623)	Data 0.001 (0.003)	Loss 1.8141 (1.7905)	Prec@1 51.000 (52.677)	Prec@5 80.000 (82.127)
Epoch: [61][8750/9018]	Time 0.611 (0.623)	Data 0.003 (0.003)	Loss 1.8678 (1.7905)	Prec@1 56.000 (52.678)	Prec@5 80.000 (82.128)
Epoch: [61][8760/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8427 (1.7905)	Prec@1 46.500 (52.678)	Prec@5 83.000 (82.128)
Epoch: [61][8770/9018]	Time 0.607 (0.623)	Data 0.017 (0.003)	Loss 1.9918 (1.7905)	Prec@1 50.000 (52.679)	Prec@5 78.500 (82.128)
Epoch: [61][8780/9018]	Time 0.752 (0.623)	Data 0.001 (0.003)	Loss 1.5893 (1.7905)	Prec@1 59.500 (52.680)	Prec@5 83.000 (82.127)
Epoch: [61][8790/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.6914 (1.7904)	Prec@1 55.500 (52.683)	Prec@5 80.000 (82.128)
Epoch: [61][8800/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8509 (1.7905)	Prec@1 53.500 (52.684)	Prec@5 78.000 (82.128)
Epoch: [61][8810/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 2.1919 (1.7905)	Prec@1 46.500 (52.681)	Prec@5 73.000 (82.127)
Epoch: [61][8820/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7727 (1.7905)	Prec@1 53.000 (52.681)	Prec@5 78.000 (82.127)
Epoch: [61][8830/9018]	Time 0.611 (0.623)	Data 0.015 (0.003)	Loss 1.9325 (1.7905)	Prec@1 45.500 (52.681)	Prec@5 82.500 (82.129)
Epoch: [61][8840/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.5904 (1.7905)	Prec@1 57.000 (52.681)	Prec@5 84.000 (82.129)
Epoch: [61][8850/9018]	Time 0.617 (0.623)	Data 0.026 (0.003)	Loss 1.6408 (1.7905)	Prec@1 58.500 (52.683)	Prec@5 85.500 (82.128)
Epoch: [61][8860/9018]	Time 0.613 (0.623)	Data 0.014 (0.003)	Loss 1.7196 (1.7905)	Prec@1 56.500 (52.683)	Prec@5 79.000 (82.129)
Epoch: [61][8870/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 2.0147 (1.7905)	Prec@1 46.000 (52.683)	Prec@5 78.000 (82.130)
Epoch: [61][8880/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.9262 (1.7906)	Prec@1 51.000 (52.681)	Prec@5 78.000 (82.127)
Epoch: [61][8890/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7847 (1.7906)	Prec@1 51.000 (52.680)	Prec@5 83.000 (82.125)
Epoch: [61][8900/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8028 (1.7906)	Prec@1 53.000 (52.678)	Prec@5 82.000 (82.124)
Epoch: [61][8910/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.6728 (1.7906)	Prec@1 53.500 (52.677)	Prec@5 87.500 (82.126)
Epoch: [61][8920/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.8040 (1.7906)	Prec@1 54.500 (52.677)	Prec@5 79.500 (82.126)
Epoch: [61][8930/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 2.0422 (1.7907)	Prec@1 48.000 (52.677)	Prec@5 77.000 (82.127)
Epoch: [61][8940/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6667 (1.7907)	Prec@1 57.000 (52.677)	Prec@5 87.000 (82.127)
Epoch: [61][8950/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6714 (1.7906)	Prec@1 55.500 (52.678)	Prec@5 83.000 (82.128)
Epoch: [61][8960/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6315 (1.7907)	Prec@1 55.000 (52.676)	Prec@5 89.500 (82.128)
Epoch: [61][8970/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7855 (1.7907)	Prec@1 52.500 (52.676)	Prec@5 80.000 (82.125)
Epoch: [61][8980/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6813 (1.7907)	Prec@1 58.000 (52.675)	Prec@5 83.000 (82.124)
Epoch: [61][8990/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8902 (1.7907)	Prec@1 49.500 (52.675)	Prec@5 83.500 (82.126)
Epoch: [61][9000/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.6100 (1.7907)	Prec@1 57.000 (52.675)	Prec@5 83.000 (82.127)
Epoch: [61][9010/9018]	Time 0.610 (0.623)	Data 0.000 (0.003)	Loss 1.7228 (1.7907)	Prec@1 55.500 (52.676)	Prec@5 82.000 (82.128)
Test: [0/183]	Time 1.538 (1.538)	Loss 2.5317 (2.5317)	Prec@1 32.000 (32.000)	Prec@5 71.500 (71.500)
Test: [10/183]	Time 0.208 (0.338)	Loss 1.5298 (1.6115)	Prec@1 61.000 (56.682)	Prec@5 86.000 (86.273)
Test: [20/183]	Time 0.203 (0.274)	Loss 1.9089 (1.5721)	Prec@1 53.500 (57.643)	Prec@5 82.000 (86.381)
Test: [30/183]	Time 0.191 (0.251)	Loss 2.1442 (1.5967)	Prec@1 33.500 (56.323)	Prec@5 79.500 (86.339)
Test: [40/183]	Time 0.200 (0.239)	Loss 2.1751 (1.5972)	Prec@1 36.500 (56.854)	Prec@5 78.500 (85.707)
Test: [50/183]	Time 0.200 (0.233)	Loss 1.3656 (1.5691)	Prec@1 62.000 (57.598)	Prec@5 89.500 (85.961)
Test: [60/183]	Time 0.196 (0.229)	Loss 2.0357 (1.6390)	Prec@1 45.000 (55.434)	Prec@5 79.000 (85.131)
Test: [70/183]	Time 0.219 (0.225)	Loss 1.6218 (1.6231)	Prec@1 53.500 (55.746)	Prec@5 87.500 (85.577)
Test: [80/183]	Time 0.200 (0.224)	Loss 1.3615 (1.6096)	Prec@1 54.000 (55.722)	Prec@5 94.000 (85.753)
Test: [90/183]	Time 0.210 (0.222)	Loss 2.2656 (1.6076)	Prec@1 37.500 (55.769)	Prec@5 73.000 (85.747)
Test: [100/183]	Time 0.193 (0.221)	Loss 0.7182 (1.6077)	Prec@1 77.500 (55.723)	Prec@5 96.000 (85.767)
Test: [110/183]	Time 0.189 (0.220)	Loss 0.5843 (1.6096)	Prec@1 86.000 (55.739)	Prec@5 98.000 (85.689)
Test: [120/183]	Time 0.199 (0.218)	Loss 1.9958 (1.6151)	Prec@1 44.500 (55.463)	Prec@5 75.000 (85.678)
Test: [130/183]	Time 0.198 (0.218)	Loss 2.9004 (1.6228)	Prec@1 22.000 (55.305)	Prec@5 72.000 (85.737)
Test: [140/183]	Time 0.187 (0.217)	Loss 1.5532 (1.6157)	Prec@1 59.000 (55.550)	Prec@5 86.500 (85.876)
Test: [150/183]	Time 0.217 (0.217)	Loss 0.5841 (1.6143)	Prec@1 82.500 (55.675)	Prec@5 99.000 (85.901)
Test: [160/183]	Time 0.227 (0.217)	Loss 1.6107 (1.6100)	Prec@1 53.000 (55.885)	Prec@5 84.000 (85.960)
Test: [170/183]	Time 0.197 (0.216)	Loss 1.9935 (1.6267)	Prec@1 38.000 (55.442)	Prec@5 83.500 (85.708)
Test: [180/183]	Time 0.196 (0.215)	Loss 1.9069 (1.6346)	Prec@1 49.000 (55.345)	Prec@5 81.500 (85.577)
 * Prec@1 55.353 Prec@5 85.581
Epoch: [62][0/9018]	Time 3.197 (3.197)	Data 2.559 (2.559)	Loss 1.7466 (1.7466)	Prec@1 52.000 (52.000)	Prec@5 81.500 (81.500)
Epoch: [62][10/9018]	Time 0.587 (0.867)	Data 0.001 (0.233)	Loss 1.9602 (1.7679)	Prec@1 46.000 (52.182)	Prec@5 84.000 (83.136)
Epoch: [62][20/9018]	Time 0.595 (0.742)	Data 0.001 (0.124)	Loss 1.5561 (1.7834)	Prec@1 57.000 (52.310)	Prec@5 89.500 (82.786)
Epoch: [62][30/9018]	Time 0.622 (0.704)	Data 0.001 (0.085)	Loss 2.0077 (1.7970)	Prec@1 43.000 (51.500)	Prec@5 79.500 (82.871)
Epoch: [62][40/9018]	Time 0.610 (0.681)	Data 0.001 (0.065)	Loss 1.6084 (1.7848)	Prec@1 58.000 (51.622)	Prec@5 85.500 (83.110)
Epoch: [62][50/9018]	Time 0.632 (0.669)	Data 0.001 (0.052)	Loss 1.9784 (1.7832)	Prec@1 46.500 (52.010)	Prec@5 77.000 (83.000)
Epoch: [62][60/9018]	Time 0.622 (0.662)	Data 0.001 (0.044)	Loss 1.6699 (1.7839)	Prec@1 57.000 (51.910)	Prec@5 82.000 (82.877)
Epoch: [62][70/9018]	Time 0.595 (0.654)	Data 0.001 (0.038)	Loss 1.7159 (1.7828)	Prec@1 56.000 (51.958)	Prec@5 85.500 (82.697)
Epoch: [62][80/9018]	Time 0.622 (0.651)	Data 0.001 (0.034)	Loss 1.7906 (1.7815)	Prec@1 52.500 (52.105)	Prec@5 82.000 (82.654)
Epoch: [62][90/9018]	Time 0.629 (0.647)	Data 0.001 (0.030)	Loss 1.4336 (1.7682)	Prec@1 57.000 (52.357)	Prec@5 89.500 (82.863)
Epoch: [62][100/9018]	Time 0.613 (0.645)	Data 0.001 (0.027)	Loss 1.6749 (1.7637)	Prec@1 54.000 (52.589)	Prec@5 85.000 (82.876)
Epoch: [62][110/9018]	Time 0.609 (0.643)	Data 0.015 (0.025)	Loss 1.7057 (1.7632)	Prec@1 54.500 (52.694)	Prec@5 82.500 (82.874)
Epoch: [62][120/9018]	Time 0.613 (0.640)	Data 0.001 (0.023)	Loss 1.7437 (1.7645)	Prec@1 53.500 (52.665)	Prec@5 82.500 (82.806)
Epoch: [62][130/9018]	Time 0.591 (0.638)	Data 0.001 (0.021)	Loss 1.7137 (1.7623)	Prec@1 53.000 (52.794)	Prec@5 81.500 (82.786)
Epoch: [62][140/9018]	Time 0.597 (0.637)	Data 0.001 (0.020)	Loss 1.8100 (1.7615)	Prec@1 52.000 (52.830)	Prec@5 82.000 (82.840)
Epoch: [62][150/9018]	Time 0.607 (0.637)	Data 0.001 (0.019)	Loss 1.7754 (1.7595)	Prec@1 55.500 (52.914)	Prec@5 81.500 (82.785)
Epoch: [62][160/9018]	Time 0.599 (0.636)	Data 0.001 (0.018)	Loss 1.8696 (1.7614)	Prec@1 50.500 (52.876)	Prec@5 79.000 (82.748)
Epoch: [62][170/9018]	Time 0.604 (0.634)	Data 0.001 (0.017)	Loss 1.7296 (1.7623)	Prec@1 52.500 (52.827)	Prec@5 81.500 (82.751)
Epoch: [62][180/9018]	Time 0.592 (0.634)	Data 0.001 (0.016)	Loss 1.7857 (1.7668)	Prec@1 50.500 (52.729)	Prec@5 81.500 (82.646)
Epoch: [62][190/9018]	Time 0.744 (0.634)	Data 0.001 (0.015)	Loss 1.5386 (1.7636)	Prec@1 59.500 (52.846)	Prec@5 82.500 (82.657)
Epoch: [62][200/9018]	Time 0.610 (0.633)	Data 0.001 (0.015)	Loss 1.7593 (1.7655)	Prec@1 52.000 (52.833)	Prec@5 82.500 (82.614)
Epoch: [62][210/9018]	Time 0.591 (0.632)	Data 0.001 (0.014)	Loss 1.5641 (1.7666)	Prec@1 59.500 (52.846)	Prec@5 86.000 (82.628)
Epoch: [62][220/9018]	Time 0.628 (0.631)	Data 0.001 (0.014)	Loss 1.7431 (1.7663)	Prec@1 54.500 (52.937)	Prec@5 83.000 (82.566)
Epoch: [62][230/9018]	Time 0.616 (0.631)	Data 0.001 (0.013)	Loss 1.7260 (1.7668)	Prec@1 52.000 (52.929)	Prec@5 83.000 (82.556)
Epoch: [62][240/9018]	Time 0.735 (0.631)	Data 0.001 (0.013)	Loss 1.9294 (1.7689)	Prec@1 52.000 (52.884)	Prec@5 80.000 (82.492)
Epoch: [62][250/9018]	Time 0.598 (0.630)	Data 0.001 (0.012)	Loss 1.5997 (1.7685)	Prec@1 57.500 (52.890)	Prec@5 84.500 (82.498)
Epoch: [62][260/9018]	Time 0.606 (0.630)	Data 0.001 (0.012)	Loss 1.6295 (1.7702)	Prec@1 57.000 (52.914)	Prec@5 83.000 (82.441)
Epoch: [62][270/9018]	Time 0.632 (0.629)	Data 0.001 (0.012)	Loss 1.8385 (1.7703)	Prec@1 51.000 (52.941)	Prec@5 80.500 (82.465)
Epoch: [62][280/9018]	Time 0.591 (0.629)	Data 0.001 (0.011)	Loss 1.6821 (1.7723)	Prec@1 53.000 (52.916)	Prec@5 86.500 (82.425)
Epoch: [62][290/9018]	Time 0.611 (0.629)	Data 0.001 (0.011)	Loss 1.8442 (1.7731)	Prec@1 53.000 (52.881)	Prec@5 79.500 (82.402)
Epoch: [62][300/9018]	Time 0.615 (0.628)	Data 0.013 (0.011)	Loss 1.9145 (1.7727)	Prec@1 50.500 (52.854)	Prec@5 76.500 (82.389)
Epoch: [62][310/9018]	Time 0.606 (0.628)	Data 0.001 (0.010)	Loss 1.7802 (1.7718)	Prec@1 57.500 (52.916)	Prec@5 80.000 (82.399)
Epoch: [62][320/9018]	Time 0.590 (0.628)	Data 0.001 (0.010)	Loss 1.8539 (1.7709)	Prec@1 51.000 (52.927)	Prec@5 84.500 (82.421)
Epoch: [62][330/9018]	Time 0.591 (0.628)	Data 0.001 (0.010)	Loss 1.6103 (1.7721)	Prec@1 55.000 (52.944)	Prec@5 84.500 (82.373)
Epoch: [62][340/9018]	Time 0.597 (0.627)	Data 0.001 (0.010)	Loss 1.6434 (1.7722)	Prec@1 54.000 (52.925)	Prec@5 85.000 (82.425)
Epoch: [62][350/9018]	Time 0.640 (0.627)	Data 0.001 (0.009)	Loss 1.6939 (1.7709)	Prec@1 53.500 (52.954)	Prec@5 83.500 (82.452)
Epoch: [62][360/9018]	Time 0.600 (0.627)	Data 0.001 (0.009)	Loss 1.7153 (1.7707)	Prec@1 56.500 (52.956)	Prec@5 85.500 (82.442)
Epoch: [62][370/9018]	Time 0.621 (0.626)	Data 0.017 (0.009)	Loss 1.6034 (1.7709)	Prec@1 58.500 (52.931)	Prec@5 85.500 (82.420)
Epoch: [62][380/9018]	Time 0.590 (0.626)	Data 0.001 (0.009)	Loss 1.5423 (1.7713)	Prec@1 62.500 (52.923)	Prec@5 83.500 (82.411)
Epoch: [62][390/9018]	Time 0.613 (0.626)	Data 0.001 (0.009)	Loss 1.6895 (1.7721)	Prec@1 54.500 (52.887)	Prec@5 85.000 (82.404)
Epoch: [62][400/9018]	Time 0.594 (0.626)	Data 0.001 (0.009)	Loss 1.9944 (1.7725)	Prec@1 51.000 (52.913)	Prec@5 78.000 (82.373)
Epoch: [62][410/9018]	Time 0.613 (0.626)	Data 0.015 (0.008)	Loss 1.9769 (1.7733)	Prec@1 54.000 (52.940)	Prec@5 77.500 (82.365)
Epoch: [62][420/9018]	Time 0.618 (0.625)	Data 0.001 (0.008)	Loss 1.8063 (1.7716)	Prec@1 56.500 (53.007)	Prec@5 79.500 (82.395)
Epoch: [62][430/9018]	Time 0.618 (0.626)	Data 0.001 (0.008)	Loss 1.7983 (1.7719)	Prec@1 48.500 (53.027)	Prec@5 79.000 (82.372)
Epoch: [62][440/9018]	Time 0.616 (0.626)	Data 0.001 (0.008)	Loss 1.8181 (1.7725)	Prec@1 51.000 (52.993)	Prec@5 82.500 (82.358)
Epoch: [62][450/9018]	Time 0.603 (0.625)	Data 0.001 (0.008)	Loss 1.7300 (1.7716)	Prec@1 50.500 (52.998)	Prec@5 86.500 (82.398)
Epoch: [62][460/9018]	Time 0.590 (0.625)	Data 0.001 (0.008)	Loss 1.8528 (1.7720)	Prec@1 47.000 (52.986)	Prec@5 81.000 (82.367)
Epoch: [62][470/9018]	Time 0.602 (0.625)	Data 0.001 (0.008)	Loss 1.8674 (1.7714)	Prec@1 50.000 (53.008)	Prec@5 82.000 (82.385)
Epoch: [62][480/9018]	Time 0.618 (0.625)	Data 0.001 (0.008)	Loss 1.6883 (1.7723)	Prec@1 56.000 (52.992)	Prec@5 84.000 (82.353)
Epoch: [62][490/9018]	Time 0.604 (0.625)	Data 0.001 (0.007)	Loss 1.7403 (1.7739)	Prec@1 56.000 (52.976)	Prec@5 85.000 (82.337)
Epoch: [62][500/9018]	Time 0.595 (0.625)	Data 0.001 (0.007)	Loss 1.6604 (1.7738)	Prec@1 56.500 (52.971)	Prec@5 85.500 (82.346)
Epoch: [62][510/9018]	Time 0.642 (0.625)	Data 0.001 (0.007)	Loss 1.8490 (1.7739)	Prec@1 52.000 (52.956)	Prec@5 80.500 (82.343)
Epoch: [62][520/9018]	Time 0.744 (0.625)	Data 0.001 (0.007)	Loss 1.6570 (1.7738)	Prec@1 55.500 (52.945)	Prec@5 86.500 (82.355)
Epoch: [62][530/9018]	Time 0.631 (0.624)	Data 0.001 (0.007)	Loss 1.8224 (1.7726)	Prec@1 51.000 (52.976)	Prec@5 83.000 (82.372)
Epoch: [62][540/9018]	Time 0.617 (0.624)	Data 0.001 (0.007)	Loss 1.6117 (1.7719)	Prec@1 57.000 (52.983)	Prec@5 85.000 (82.377)
Epoch: [62][550/9018]	Time 0.602 (0.624)	Data 0.002 (0.007)	Loss 1.9425 (1.7724)	Prec@1 50.000 (52.978)	Prec@5 79.000 (82.362)
Epoch: [62][560/9018]	Time 0.631 (0.624)	Data 0.001 (0.007)	Loss 1.8178 (1.7719)	Prec@1 56.500 (52.995)	Prec@5 81.500 (82.369)
Epoch: [62][570/9018]	Time 0.747 (0.624)	Data 0.001 (0.007)	Loss 1.9432 (1.7727)	Prec@1 51.000 (52.989)	Prec@5 77.500 (82.356)
Epoch: [62][580/9018]	Time 0.623 (0.624)	Data 0.017 (0.007)	Loss 1.8902 (1.7733)	Prec@1 52.500 (52.981)	Prec@5 82.000 (82.348)
Epoch: [62][590/9018]	Time 0.611 (0.624)	Data 0.027 (0.007)	Loss 1.7287 (1.7738)	Prec@1 55.500 (52.995)	Prec@5 81.000 (82.330)
Epoch: [62][600/9018]	Time 0.614 (0.624)	Data 0.001 (0.007)	Loss 2.0006 (1.7741)	Prec@1 48.500 (52.973)	Prec@5 79.500 (82.335)
Epoch: [62][610/9018]	Time 0.619 (0.624)	Data 0.001 (0.007)	Loss 1.7600 (1.7748)	Prec@1 54.500 (52.966)	Prec@5 80.500 (82.305)
Epoch: [62][620/9018]	Time 0.630 (0.624)	Data 0.001 (0.007)	Loss 1.8027 (1.7755)	Prec@1 50.500 (52.962)	Prec@5 83.500 (82.293)
Epoch: [62][630/9018]	Time 0.600 (0.624)	Data 0.001 (0.006)	Loss 1.6109 (1.7745)	Prec@1 56.000 (52.981)	Prec@5 86.000 (82.326)
Epoch: [62][640/9018]	Time 0.599 (0.624)	Data 0.001 (0.006)	Loss 1.8122 (1.7748)	Prec@1 53.500 (52.961)	Prec@5 82.500 (82.331)
Epoch: [62][650/9018]	Time 0.608 (0.623)	Data 0.001 (0.006)	Loss 1.7499 (1.7755)	Prec@1 54.500 (52.962)	Prec@5 81.000 (82.300)
Epoch: [62][660/9018]	Time 0.627 (0.623)	Data 0.002 (0.006)	Loss 1.6098 (1.7751)	Prec@1 56.500 (52.975)	Prec@5 84.500 (82.304)
Epoch: [62][670/9018]	Time 0.597 (0.623)	Data 0.001 (0.006)	Loss 1.5964 (1.7748)	Prec@1 55.500 (52.959)	Prec@5 83.500 (82.308)
Epoch: [62][680/9018]	Time 0.634 (0.623)	Data 0.001 (0.006)	Loss 1.6966 (1.7756)	Prec@1 56.000 (52.957)	Prec@5 81.500 (82.313)
Epoch: [62][690/9018]	Time 0.624 (0.623)	Data 0.001 (0.006)	Loss 1.8429 (1.7751)	Prec@1 54.500 (52.970)	Prec@5 81.500 (82.323)
Epoch: [62][700/9018]	Time 0.594 (0.623)	Data 0.001 (0.006)	Loss 1.7206 (1.7756)	Prec@1 55.000 (52.964)	Prec@5 84.500 (82.307)
Epoch: [62][710/9018]	Time 0.595 (0.623)	Data 0.001 (0.006)	Loss 1.9160 (1.7759)	Prec@1 50.500 (52.959)	Prec@5 79.500 (82.303)
Epoch: [62][720/9018]	Time 0.613 (0.623)	Data 0.001 (0.006)	Loss 1.4916 (1.7752)	Prec@1 58.500 (52.969)	Prec@5 87.000 (82.316)
Epoch: [62][730/9018]	Time 0.621 (0.623)	Data 0.002 (0.006)	Loss 1.7471 (1.7755)	Prec@1 58.000 (52.969)	Prec@5 83.000 (82.321)
Epoch: [62][740/9018]	Time 0.605 (0.623)	Data 0.013 (0.006)	Loss 1.7029 (1.7755)	Prec@1 51.500 (52.971)	Prec@5 83.500 (82.309)
Epoch: [62][750/9018]	Time 0.600 (0.623)	Data 0.001 (0.006)	Loss 1.7345 (1.7755)	Prec@1 57.500 (52.985)	Prec@5 80.500 (82.308)
Epoch: [62][760/9018]	Time 0.631 (0.623)	Data 0.001 (0.006)	Loss 1.9075 (1.7755)	Prec@1 50.000 (52.986)	Prec@5 81.000 (82.315)
Epoch: [62][770/9018]	Time 0.632 (0.623)	Data 0.001 (0.006)	Loss 1.7080 (1.7751)	Prec@1 48.500 (52.995)	Prec@5 84.500 (82.334)
Epoch: [62][780/9018]	Time 0.595 (0.623)	Data 0.001 (0.006)	Loss 1.9251 (1.7754)	Prec@1 52.000 (52.988)	Prec@5 79.500 (82.319)
Epoch: [62][790/9018]	Time 0.616 (0.623)	Data 0.001 (0.006)	Loss 1.7983 (1.7763)	Prec@1 50.500 (52.955)	Prec@5 80.500 (82.306)
Epoch: [62][800/9018]	Time 0.626 (0.623)	Data 0.006 (0.006)	Loss 1.7220 (1.7771)	Prec@1 55.000 (52.912)	Prec@5 85.000 (82.301)
Epoch: [62][810/9018]	Time 0.601 (0.623)	Data 0.001 (0.006)	Loss 1.6625 (1.7774)	Prec@1 57.500 (52.905)	Prec@5 87.000 (82.307)
Epoch: [62][820/9018]	Time 0.605 (0.623)	Data 0.001 (0.006)	Loss 2.0124 (1.7776)	Prec@1 47.500 (52.889)	Prec@5 77.000 (82.293)
Epoch: [62][830/9018]	Time 0.627 (0.623)	Data 0.001 (0.006)	Loss 1.7844 (1.7782)	Prec@1 55.000 (52.880)	Prec@5 82.500 (82.288)
Epoch: [62][840/9018]	Time 0.595 (0.623)	Data 0.001 (0.006)	Loss 1.9658 (1.7779)	Prec@1 50.000 (52.895)	Prec@5 77.000 (82.294)
Epoch: [62][850/9018]	Time 0.750 (0.623)	Data 0.013 (0.006)	Loss 1.8571 (1.7779)	Prec@1 50.500 (52.902)	Prec@5 81.500 (82.296)
Epoch: [62][860/9018]	Time 0.629 (0.623)	Data 0.001 (0.006)	Loss 1.8389 (1.7781)	Prec@1 52.000 (52.899)	Prec@5 82.500 (82.301)
Epoch: [62][870/9018]	Time 0.611 (0.623)	Data 0.001 (0.005)	Loss 1.6285 (1.7781)	Prec@1 56.000 (52.887)	Prec@5 84.000 (82.300)
Epoch: [62][880/9018]	Time 0.605 (0.623)	Data 0.001 (0.005)	Loss 1.4553 (1.7782)	Prec@1 63.000 (52.907)	Prec@5 87.500 (82.302)
Epoch: [62][890/9018]	Time 0.610 (0.623)	Data 0.001 (0.005)	Loss 1.8611 (1.7787)	Prec@1 50.000 (52.898)	Prec@5 81.500 (82.302)
Epoch: [62][900/9018]	Time 0.759 (0.623)	Data 0.001 (0.005)	Loss 1.6034 (1.7781)	Prec@1 55.500 (52.918)	Prec@5 86.500 (82.312)
Epoch: [62][910/9018]	Time 0.609 (0.622)	Data 0.001 (0.005)	Loss 1.6539 (1.7782)	Prec@1 54.000 (52.919)	Prec@5 85.500 (82.303)
Epoch: [62][920/9018]	Time 0.622 (0.623)	Data 0.001 (0.005)	Loss 1.8423 (1.7787)	Prec@1 45.000 (52.895)	Prec@5 83.500 (82.301)
Epoch: [62][930/9018]	Time 0.592 (0.622)	Data 0.001 (0.005)	Loss 1.7891 (1.7784)	Prec@1 50.000 (52.905)	Prec@5 82.000 (82.307)
Epoch: [62][940/9018]	Time 0.631 (0.623)	Data 0.001 (0.005)	Loss 1.5697 (1.7782)	Prec@1 61.000 (52.909)	Prec@5 85.000 (82.313)
Epoch: [62][950/9018]	Time 0.633 (0.623)	Data 0.001 (0.005)	Loss 1.6577 (1.7779)	Prec@1 56.000 (52.922)	Prec@5 86.500 (82.317)
Epoch: [62][960/9018]	Time 0.607 (0.622)	Data 0.001 (0.005)	Loss 1.8279 (1.7778)	Prec@1 55.500 (52.926)	Prec@5 82.500 (82.325)
Epoch: [62][970/9018]	Time 0.604 (0.622)	Data 0.001 (0.005)	Loss 1.8186 (1.7775)	Prec@1 51.500 (52.941)	Prec@5 79.000 (82.330)
Epoch: [62][980/9018]	Time 0.605 (0.622)	Data 0.001 (0.005)	Loss 1.6636 (1.7776)	Prec@1 54.500 (52.942)	Prec@5 83.000 (82.322)
Epoch: [62][990/9018]	Time 0.598 (0.622)	Data 0.001 (0.005)	Loss 1.7966 (1.7782)	Prec@1 51.500 (52.941)	Prec@5 86.500 (82.316)
Epoch: [62][1000/9018]	Time 0.621 (0.622)	Data 0.001 (0.005)	Loss 1.6493 (1.7781)	Prec@1 55.000 (52.942)	Prec@5 85.500 (82.318)
Epoch: [62][1010/9018]	Time 0.589 (0.622)	Data 0.001 (0.005)	Loss 1.8025 (1.7782)	Prec@1 56.500 (52.954)	Prec@5 78.500 (82.319)
Epoch: [62][1020/9018]	Time 0.602 (0.622)	Data 0.001 (0.005)	Loss 1.9273 (1.7786)	Prec@1 49.000 (52.926)	Prec@5 82.000 (82.318)
Epoch: [62][1030/9018]	Time 0.615 (0.622)	Data 0.001 (0.005)	Loss 1.6910 (1.7789)	Prec@1 58.000 (52.911)	Prec@5 85.000 (82.320)
Epoch: [62][1040/9018]	Time 0.607 (0.622)	Data 0.001 (0.005)	Loss 1.8826 (1.7798)	Prec@1 49.000 (52.894)	Prec@5 82.500 (82.311)
Epoch: [62][1050/9018]	Time 0.635 (0.622)	Data 0.001 (0.005)	Loss 1.8957 (1.7798)	Prec@1 48.000 (52.887)	Prec@5 81.000 (82.314)
Epoch: [62][1060/9018]	Time 0.597 (0.622)	Data 0.001 (0.005)	Loss 1.7732 (1.7798)	Prec@1 54.000 (52.893)	Prec@5 83.500 (82.317)
Epoch: [62][1070/9018]	Time 0.606 (0.622)	Data 0.001 (0.005)	Loss 1.8659 (1.7802)	Prec@1 52.500 (52.886)	Prec@5 78.000 (82.306)
Epoch: [62][1080/9018]	Time 0.635 (0.622)	Data 0.001 (0.005)	Loss 1.6994 (1.7802)	Prec@1 52.000 (52.874)	Prec@5 81.000 (82.310)
Epoch: [62][1090/9018]	Time 0.600 (0.622)	Data 0.001 (0.005)	Loss 1.7181 (1.7796)	Prec@1 61.000 (52.896)	Prec@5 80.000 (82.319)
Epoch: [62][1100/9018]	Time 0.592 (0.622)	Data 0.001 (0.005)	Loss 1.8220 (1.7790)	Prec@1 52.000 (52.914)	Prec@5 84.000 (82.327)
Epoch: [62][1110/9018]	Time 0.600 (0.622)	Data 0.001 (0.005)	Loss 1.7363 (1.7791)	Prec@1 50.000 (52.904)	Prec@5 84.000 (82.332)
Epoch: [62][1120/9018]	Time 0.644 (0.622)	Data 0.001 (0.005)	Loss 1.6000 (1.7788)	Prec@1 59.000 (52.907)	Prec@5 86.500 (82.343)
Epoch: [62][1130/9018]	Time 0.633 (0.622)	Data 0.001 (0.005)	Loss 1.7541 (1.7782)	Prec@1 54.000 (52.922)	Prec@5 83.000 (82.346)
Epoch: [62][1140/9018]	Time 0.623 (0.622)	Data 0.028 (0.005)	Loss 1.7136 (1.7780)	Prec@1 53.000 (52.924)	Prec@5 82.500 (82.343)
Epoch: [62][1150/9018]	Time 0.611 (0.622)	Data 0.001 (0.005)	Loss 1.7964 (1.7778)	Prec@1 51.500 (52.930)	Prec@5 84.500 (82.350)
Epoch: [62][1160/9018]	Time 0.619 (0.622)	Data 0.001 (0.005)	Loss 1.7106 (1.7773)	Prec@1 56.000 (52.932)	Prec@5 86.000 (82.355)
Epoch: [62][1170/9018]	Time 0.618 (0.622)	Data 0.001 (0.005)	Loss 1.7516 (1.7780)	Prec@1 51.000 (52.912)	Prec@5 85.000 (82.345)
Epoch: [62][1180/9018]	Time 0.733 (0.622)	Data 0.015 (0.005)	Loss 1.8463 (1.7781)	Prec@1 55.500 (52.911)	Prec@5 80.000 (82.334)
Epoch: [62][1190/9018]	Time 0.619 (0.622)	Data 0.002 (0.005)	Loss 1.8791 (1.7786)	Prec@1 50.500 (52.911)	Prec@5 81.000 (82.327)
Epoch: [62][1200/9018]	Time 0.618 (0.622)	Data 0.001 (0.005)	Loss 1.7167 (1.7787)	Prec@1 54.000 (52.903)	Prec@5 80.500 (82.322)
Epoch: [62][1210/9018]	Time 0.627 (0.622)	Data 0.001 (0.005)	Loss 2.1733 (1.7790)	Prec@1 45.000 (52.890)	Prec@5 74.500 (82.319)
Epoch: [62][1220/9018]	Time 0.613 (0.622)	Data 0.001 (0.005)	Loss 1.6935 (1.7787)	Prec@1 56.000 (52.908)	Prec@5 83.000 (82.321)
Epoch: [62][1230/9018]	Time 0.750 (0.622)	Data 0.001 (0.005)	Loss 1.7052 (1.7787)	Prec@1 55.500 (52.914)	Prec@5 83.500 (82.314)
Epoch: [62][1240/9018]	Time 0.617 (0.622)	Data 0.001 (0.005)	Loss 1.7544 (1.7792)	Prec@1 51.000 (52.903)	Prec@5 81.500 (82.307)
Epoch: [62][1250/9018]	Time 0.625 (0.622)	Data 0.001 (0.005)	Loss 1.8448 (1.7792)	Prec@1 51.500 (52.897)	Prec@5 80.500 (82.303)
Epoch: [62][1260/9018]	Time 0.596 (0.622)	Data 0.001 (0.005)	Loss 1.8462 (1.7794)	Prec@1 54.500 (52.898)	Prec@5 82.500 (82.308)
Epoch: [62][1270/9018]	Time 0.607 (0.622)	Data 0.001 (0.005)	Loss 1.6777 (1.7788)	Prec@1 53.500 (52.914)	Prec@5 85.500 (82.314)
Epoch: [62][1280/9018]	Time 0.605 (0.622)	Data 0.015 (0.005)	Loss 1.7136 (1.7788)	Prec@1 54.000 (52.911)	Prec@5 83.000 (82.316)
Epoch: [62][1290/9018]	Time 0.593 (0.622)	Data 0.001 (0.005)	Loss 1.7762 (1.7789)	Prec@1 54.000 (52.904)	Prec@5 83.000 (82.314)
Epoch: [62][1300/9018]	Time 0.624 (0.622)	Data 0.001 (0.005)	Loss 1.6916 (1.7785)	Prec@1 59.000 (52.919)	Prec@5 84.000 (82.322)
Epoch: [62][1310/9018]	Time 0.629 (0.622)	Data 0.001 (0.005)	Loss 1.8890 (1.7790)	Prec@1 47.500 (52.904)	Prec@5 81.500 (82.317)
Epoch: [62][1320/9018]	Time 0.625 (0.622)	Data 0.001 (0.005)	Loss 1.9117 (1.7787)	Prec@1 51.000 (52.907)	Prec@5 81.000 (82.324)
Epoch: [62][1330/9018]	Time 0.615 (0.622)	Data 0.001 (0.005)	Loss 1.8037 (1.7786)	Prec@1 56.500 (52.910)	Prec@5 81.500 (82.333)
Epoch: [62][1340/9018]	Time 0.620 (0.622)	Data 0.001 (0.005)	Loss 1.6510 (1.7780)	Prec@1 57.500 (52.925)	Prec@5 82.500 (82.332)
Epoch: [62][1350/9018]	Time 0.639 (0.622)	Data 0.001 (0.005)	Loss 1.9027 (1.7781)	Prec@1 48.000 (52.920)	Prec@5 80.500 (82.330)
Epoch: [62][1360/9018]	Time 0.622 (0.622)	Data 0.001 (0.005)	Loss 1.7578 (1.7780)	Prec@1 54.500 (52.917)	Prec@5 87.500 (82.342)
Epoch: [62][1370/9018]	Time 0.593 (0.622)	Data 0.001 (0.005)	Loss 2.0051 (1.7780)	Prec@1 44.000 (52.922)	Prec@5 80.000 (82.342)
Epoch: [62][1380/9018]	Time 0.640 (0.622)	Data 0.014 (0.005)	Loss 1.8089 (1.7778)	Prec@1 51.500 (52.927)	Prec@5 82.000 (82.346)
Epoch: [62][1390/9018]	Time 0.616 (0.622)	Data 0.016 (0.005)	Loss 1.9241 (1.7780)	Prec@1 51.000 (52.921)	Prec@5 77.000 (82.341)
Epoch: [62][1400/9018]	Time 0.618 (0.622)	Data 0.001 (0.005)	Loss 1.7672 (1.7777)	Prec@1 52.000 (52.926)	Prec@5 82.000 (82.349)
Epoch: [62][1410/9018]	Time 0.614 (0.622)	Data 0.005 (0.005)	Loss 1.6571 (1.7779)	Prec@1 56.500 (52.923)	Prec@5 85.500 (82.346)
Epoch: [62][1420/9018]	Time 0.623 (0.622)	Data 0.001 (0.005)	Loss 1.7407 (1.7778)	Prec@1 51.500 (52.923)	Prec@5 83.500 (82.351)
Epoch: [62][1430/9018]	Time 0.613 (0.622)	Data 0.003 (0.004)	Loss 1.8743 (1.7782)	Prec@1 51.500 (52.909)	Prec@5 80.000 (82.338)
Epoch: [62][1440/9018]	Time 0.597 (0.622)	Data 0.001 (0.004)	Loss 1.6088 (1.7776)	Prec@1 57.500 (52.919)	Prec@5 83.000 (82.350)
Epoch: [62][1450/9018]	Time 0.600 (0.622)	Data 0.001 (0.004)	Loss 1.7709 (1.7778)	Prec@1 51.000 (52.919)	Prec@5 81.000 (82.348)
Epoch: [62][1460/9018]	Time 0.601 (0.622)	Data 0.001 (0.004)	Loss 1.6504 (1.7774)	Prec@1 55.000 (52.934)	Prec@5 82.500 (82.349)
Epoch: [62][1470/9018]	Time 0.625 (0.622)	Data 0.001 (0.004)	Loss 1.8333 (1.7773)	Prec@1 54.000 (52.938)	Prec@5 82.000 (82.350)
Epoch: [62][1480/9018]	Time 0.614 (0.622)	Data 0.001 (0.004)	Loss 1.9755 (1.7772)	Prec@1 42.500 (52.936)	Prec@5 83.000 (82.356)
Epoch: [62][1490/9018]	Time 0.619 (0.622)	Data 0.001 (0.004)	Loss 1.7695 (1.7773)	Prec@1 51.500 (52.924)	Prec@5 83.500 (82.353)
Epoch: [62][1500/9018]	Time 0.605 (0.622)	Data 0.017 (0.004)	Loss 1.6782 (1.7774)	Prec@1 53.500 (52.917)	Prec@5 84.500 (82.350)
Epoch: [62][1510/9018]	Time 0.741 (0.622)	Data 0.001 (0.004)	Loss 1.6843 (1.7769)	Prec@1 53.500 (52.927)	Prec@5 81.500 (82.362)
Epoch: [62][1520/9018]	Time 0.598 (0.622)	Data 0.001 (0.004)	Loss 1.6120 (1.7765)	Prec@1 57.000 (52.943)	Prec@5 85.000 (82.365)
Epoch: [62][1530/9018]	Time 0.600 (0.622)	Data 0.001 (0.004)	Loss 1.6944 (1.7763)	Prec@1 54.500 (52.951)	Prec@5 85.500 (82.365)
Epoch: [62][1540/9018]	Time 0.610 (0.622)	Data 0.001 (0.004)	Loss 1.7847 (1.7759)	Prec@1 50.000 (52.958)	Prec@5 80.500 (82.373)
Epoch: [62][1550/9018]	Time 0.629 (0.622)	Data 0.001 (0.004)	Loss 1.7581 (1.7762)	Prec@1 55.000 (52.953)	Prec@5 82.500 (82.365)
Epoch: [62][1560/9018]	Time 0.764 (0.622)	Data 0.001 (0.004)	Loss 1.8189 (1.7767)	Prec@1 53.500 (52.942)	Prec@5 81.500 (82.358)
Epoch: [62][1570/9018]	Time 0.603 (0.621)	Data 0.012 (0.004)	Loss 1.6988 (1.7765)	Prec@1 52.500 (52.949)	Prec@5 88.500 (82.362)
Epoch: [62][1580/9018]	Time 0.593 (0.622)	Data 0.001 (0.004)	Loss 1.8770 (1.7764)	Prec@1 51.500 (52.955)	Prec@5 77.500 (82.363)
Epoch: [62][1590/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.6352 (1.7762)	Prec@1 51.500 (52.951)	Prec@5 87.000 (82.365)
Epoch: [62][1600/9018]	Time 0.622 (0.622)	Data 0.014 (0.004)	Loss 1.8010 (1.7759)	Prec@1 54.500 (52.952)	Prec@5 81.000 (82.373)
Epoch: [62][1610/9018]	Time 0.606 (0.622)	Data 0.016 (0.004)	Loss 1.7229 (1.7760)	Prec@1 56.500 (52.957)	Prec@5 84.500 (82.372)
Epoch: [62][1620/9018]	Time 0.609 (0.621)	Data 0.001 (0.004)	Loss 1.6360 (1.7761)	Prec@1 57.500 (52.954)	Prec@5 83.000 (82.368)
Epoch: [62][1630/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.7626 (1.7761)	Prec@1 59.500 (52.958)	Prec@5 80.500 (82.371)
Epoch: [62][1640/9018]	Time 0.589 (0.621)	Data 0.001 (0.004)	Loss 1.8578 (1.7757)	Prec@1 50.000 (52.967)	Prec@5 83.500 (82.377)
Epoch: [62][1650/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.7373 (1.7758)	Prec@1 56.000 (52.964)	Prec@5 83.000 (82.377)
Epoch: [62][1660/9018]	Time 0.651 (0.621)	Data 0.015 (0.004)	Loss 1.8466 (1.7759)	Prec@1 49.000 (52.956)	Prec@5 81.500 (82.377)
Epoch: [62][1670/9018]	Time 0.620 (0.621)	Data 0.007 (0.004)	Loss 1.8377 (1.7757)	Prec@1 52.500 (52.958)	Prec@5 81.500 (82.377)
Epoch: [62][1680/9018]	Time 0.604 (0.621)	Data 0.016 (0.004)	Loss 1.7853 (1.7757)	Prec@1 53.500 (52.965)	Prec@5 82.500 (82.374)
Epoch: [62][1690/9018]	Time 0.608 (0.621)	Data 0.001 (0.004)	Loss 1.7865 (1.7759)	Prec@1 52.000 (52.955)	Prec@5 83.000 (82.376)
Epoch: [62][1700/9018]	Time 0.617 (0.621)	Data 0.006 (0.004)	Loss 1.9672 (1.7755)	Prec@1 50.000 (52.964)	Prec@5 77.000 (82.381)
Epoch: [62][1710/9018]	Time 0.599 (0.621)	Data 0.001 (0.004)	Loss 1.6481 (1.7756)	Prec@1 54.000 (52.954)	Prec@5 84.000 (82.378)
Epoch: [62][1720/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.7996 (1.7756)	Prec@1 47.500 (52.949)	Prec@5 81.000 (82.376)
Epoch: [62][1730/9018]	Time 0.593 (0.621)	Data 0.001 (0.004)	Loss 1.8106 (1.7755)	Prec@1 55.000 (52.948)	Prec@5 80.500 (82.379)
Epoch: [62][1740/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 1.7466 (1.7751)	Prec@1 52.000 (52.963)	Prec@5 85.500 (82.387)
Epoch: [62][1750/9018]	Time 0.602 (0.621)	Data 0.001 (0.004)	Loss 1.6963 (1.7747)	Prec@1 56.000 (52.973)	Prec@5 84.500 (82.394)
Epoch: [62][1760/9018]	Time 0.598 (0.621)	Data 0.001 (0.004)	Loss 1.5159 (1.7744)	Prec@1 57.000 (52.982)	Prec@5 89.000 (82.397)
Epoch: [62][1770/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.7872 (1.7744)	Prec@1 57.000 (52.979)	Prec@5 84.000 (82.401)
Epoch: [62][1780/9018]	Time 0.587 (0.621)	Data 0.001 (0.004)	Loss 1.6954 (1.7746)	Prec@1 51.000 (52.978)	Prec@5 87.000 (82.400)
Epoch: [62][1790/9018]	Time 0.623 (0.621)	Data 0.001 (0.004)	Loss 1.8258 (1.7748)	Prec@1 50.500 (52.972)	Prec@5 84.500 (82.398)
Epoch: [62][1800/9018]	Time 0.618 (0.621)	Data 0.001 (0.004)	Loss 1.7974 (1.7747)	Prec@1 52.000 (52.973)	Prec@5 78.000 (82.402)
Epoch: [62][1810/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.8105 (1.7748)	Prec@1 49.500 (52.975)	Prec@5 80.000 (82.396)
Epoch: [62][1820/9018]	Time 0.628 (0.621)	Data 0.001 (0.004)	Loss 1.8767 (1.7747)	Prec@1 46.000 (52.980)	Prec@5 82.500 (82.392)
Epoch: [62][1830/9018]	Time 0.611 (0.621)	Data 0.001 (0.004)	Loss 1.7902 (1.7745)	Prec@1 49.500 (52.980)	Prec@5 84.500 (82.396)
Epoch: [62][1840/9018]	Time 0.726 (0.621)	Data 0.001 (0.004)	Loss 1.9014 (1.7742)	Prec@1 48.000 (52.983)	Prec@5 80.500 (82.401)
Epoch: [62][1850/9018]	Time 0.617 (0.621)	Data 0.001 (0.004)	Loss 1.4538 (1.7739)	Prec@1 61.500 (52.987)	Prec@5 86.500 (82.406)
Epoch: [62][1860/9018]	Time 0.618 (0.621)	Data 0.001 (0.004)	Loss 1.7263 (1.7741)	Prec@1 55.000 (52.981)	Prec@5 83.500 (82.407)
Epoch: [62][1870/9018]	Time 0.615 (0.621)	Data 0.001 (0.004)	Loss 1.7853 (1.7741)	Prec@1 54.000 (52.986)	Prec@5 83.000 (82.406)
Epoch: [62][1880/9018]	Time 0.625 (0.621)	Data 0.001 (0.004)	Loss 1.7296 (1.7737)	Prec@1 53.500 (52.993)	Prec@5 83.500 (82.415)
Epoch: [62][1890/9018]	Time 0.815 (0.621)	Data 0.001 (0.004)	Loss 1.6579 (1.7742)	Prec@1 58.000 (52.984)	Prec@5 81.500 (82.401)
Epoch: [62][1900/9018]	Time 0.617 (0.621)	Data 0.001 (0.004)	Loss 1.8671 (1.7738)	Prec@1 54.500 (52.989)	Prec@5 81.000 (82.412)
Epoch: [62][1910/9018]	Time 0.610 (0.621)	Data 0.001 (0.004)	Loss 1.7896 (1.7736)	Prec@1 55.500 (52.994)	Prec@5 79.500 (82.414)
Epoch: [62][1920/9018]	Time 0.615 (0.621)	Data 0.001 (0.004)	Loss 1.7558 (1.7736)	Prec@1 52.000 (52.995)	Prec@5 83.500 (82.414)
Epoch: [62][1930/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.8361 (1.7738)	Prec@1 48.000 (52.985)	Prec@5 79.500 (82.409)
Epoch: [62][1940/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.7848 (1.7739)	Prec@1 53.000 (52.987)	Prec@5 84.500 (82.411)
Epoch: [62][1950/9018]	Time 0.599 (0.621)	Data 0.006 (0.004)	Loss 1.5592 (1.7737)	Prec@1 60.000 (52.987)	Prec@5 85.000 (82.413)
Epoch: [62][1960/9018]	Time 0.620 (0.621)	Data 0.001 (0.004)	Loss 1.6566 (1.7736)	Prec@1 59.500 (52.988)	Prec@5 82.000 (82.412)
Epoch: [62][1970/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.6003 (1.7737)	Prec@1 56.500 (52.984)	Prec@5 85.500 (82.411)
Epoch: [62][1980/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 2.0014 (1.7741)	Prec@1 49.500 (52.974)	Prec@5 78.000 (82.405)
Epoch: [62][1990/9018]	Time 0.600 (0.621)	Data 0.001 (0.004)	Loss 1.5254 (1.7740)	Prec@1 60.000 (52.978)	Prec@5 86.500 (82.404)
Epoch: [62][2000/9018]	Time 0.602 (0.621)	Data 0.001 (0.004)	Loss 1.6154 (1.7739)	Prec@1 51.000 (52.980)	Prec@5 87.500 (82.411)
Epoch: [62][2010/9018]	Time 0.602 (0.621)	Data 0.001 (0.004)	Loss 1.5586 (1.7739)	Prec@1 61.000 (52.976)	Prec@5 84.500 (82.410)
Epoch: [62][2020/9018]	Time 0.617 (0.621)	Data 0.001 (0.004)	Loss 1.7516 (1.7738)	Prec@1 53.500 (52.980)	Prec@5 83.000 (82.412)
Epoch: [62][2030/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.6526 (1.7736)	Prec@1 55.000 (52.985)	Prec@5 85.500 (82.419)
Epoch: [62][2040/9018]	Time 0.625 (0.621)	Data 0.001 (0.004)	Loss 1.6984 (1.7733)	Prec@1 54.500 (52.988)	Prec@5 80.000 (82.422)
Epoch: [62][2050/9018]	Time 0.597 (0.621)	Data 0.001 (0.004)	Loss 1.6500 (1.7734)	Prec@1 56.000 (52.990)	Prec@5 81.000 (82.421)
Epoch: [62][2060/9018]	Time 0.609 (0.621)	Data 0.014 (0.004)	Loss 1.7270 (1.7735)	Prec@1 56.000 (52.987)	Prec@5 81.000 (82.415)
Epoch: [62][2070/9018]	Time 0.604 (0.621)	Data 0.008 (0.004)	Loss 1.9110 (1.7734)	Prec@1 51.500 (52.994)	Prec@5 76.500 (82.416)
Epoch: [62][2080/9018]	Time 0.619 (0.621)	Data 0.010 (0.004)	Loss 1.7111 (1.7735)	Prec@1 54.000 (52.993)	Prec@5 84.000 (82.420)
Epoch: [62][2090/9018]	Time 0.606 (0.621)	Data 0.015 (0.004)	Loss 1.7599 (1.7737)	Prec@1 51.000 (52.985)	Prec@5 83.000 (82.418)
Epoch: [62][2100/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.8263 (1.7737)	Prec@1 56.500 (52.983)	Prec@5 79.500 (82.417)
Epoch: [62][2110/9018]	Time 0.621 (0.621)	Data 0.004 (0.004)	Loss 1.5843 (1.7737)	Prec@1 55.500 (52.985)	Prec@5 87.500 (82.421)
Epoch: [62][2120/9018]	Time 0.626 (0.621)	Data 0.001 (0.004)	Loss 1.8673 (1.7735)	Prec@1 54.000 (52.994)	Prec@5 83.500 (82.425)
Epoch: [62][2130/9018]	Time 0.590 (0.621)	Data 0.001 (0.004)	Loss 2.0993 (1.7736)	Prec@1 50.000 (52.990)	Prec@5 75.000 (82.427)
Epoch: [62][2140/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.7650 (1.7738)	Prec@1 53.500 (52.989)	Prec@5 84.000 (82.422)
Epoch: [62][2150/9018]	Time 0.609 (0.621)	Data 0.001 (0.004)	Loss 1.5984 (1.7738)	Prec@1 58.000 (52.992)	Prec@5 85.000 (82.421)
Epoch: [62][2160/9018]	Time 0.628 (0.621)	Data 0.001 (0.004)	Loss 1.9728 (1.7736)	Prec@1 47.000 (52.995)	Prec@5 82.000 (82.428)
Epoch: [62][2170/9018]	Time 0.767 (0.621)	Data 0.001 (0.004)	Loss 1.7368 (1.7736)	Prec@1 53.500 (52.997)	Prec@5 84.000 (82.426)
Epoch: [62][2180/9018]	Time 0.601 (0.621)	Data 0.015 (0.004)	Loss 1.8733 (1.7736)	Prec@1 49.500 (52.996)	Prec@5 83.000 (82.425)
Epoch: [62][2190/9018]	Time 0.602 (0.621)	Data 0.001 (0.004)	Loss 1.9551 (1.7737)	Prec@1 49.500 (52.993)	Prec@5 82.000 (82.425)
Epoch: [62][2200/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.6141 (1.7735)	Prec@1 52.500 (52.999)	Prec@5 86.500 (82.427)
Epoch: [62][2210/9018]	Time 0.621 (0.621)	Data 0.001 (0.004)	Loss 1.6329 (1.7733)	Prec@1 55.000 (53.000)	Prec@5 86.000 (82.433)
Epoch: [62][2220/9018]	Time 0.797 (0.621)	Data 0.017 (0.004)	Loss 1.8707 (1.7732)	Prec@1 50.000 (53.003)	Prec@5 81.000 (82.432)
Epoch: [62][2230/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.6979 (1.7733)	Prec@1 54.500 (53.002)	Prec@5 83.500 (82.429)
Epoch: [62][2240/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.7322 (1.7731)	Prec@1 55.000 (53.007)	Prec@5 84.000 (82.432)
Epoch: [62][2250/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 2.0024 (1.7733)	Prec@1 49.500 (53.008)	Prec@5 76.500 (82.430)
Epoch: [62][2260/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.8078 (1.7733)	Prec@1 51.000 (53.008)	Prec@5 79.500 (82.429)
Epoch: [62][2270/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.9003 (1.7733)	Prec@1 46.500 (53.002)	Prec@5 80.500 (82.425)
Epoch: [62][2280/9018]	Time 0.611 (0.621)	Data 0.001 (0.004)	Loss 1.8606 (1.7737)	Prec@1 54.500 (52.996)	Prec@5 79.500 (82.418)
Epoch: [62][2290/9018]	Time 0.627 (0.621)	Data 0.017 (0.004)	Loss 1.7803 (1.7736)	Prec@1 55.000 (52.997)	Prec@5 84.000 (82.422)
Epoch: [62][2300/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.7285 (1.7733)	Prec@1 51.500 (52.998)	Prec@5 82.500 (82.430)
Epoch: [62][2310/9018]	Time 0.624 (0.621)	Data 0.001 (0.004)	Loss 1.8645 (1.7733)	Prec@1 48.500 (52.998)	Prec@5 80.500 (82.429)
Epoch: [62][2320/9018]	Time 0.630 (0.621)	Data 0.001 (0.004)	Loss 1.7280 (1.7732)	Prec@1 53.000 (53.003)	Prec@5 84.000 (82.431)
Epoch: [62][2330/9018]	Time 0.610 (0.621)	Data 0.001 (0.004)	Loss 1.5707 (1.7734)	Prec@1 51.500 (52.997)	Prec@5 86.500 (82.426)
Epoch: [62][2340/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.9288 (1.7734)	Prec@1 50.500 (52.994)	Prec@5 78.000 (82.426)
Epoch: [62][2350/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.8503 (1.7733)	Prec@1 50.000 (52.990)	Prec@5 81.500 (82.432)
Epoch: [62][2360/9018]	Time 0.608 (0.621)	Data 0.001 (0.004)	Loss 2.1202 (1.7732)	Prec@1 49.500 (52.997)	Prec@5 78.000 (82.431)
Epoch: [62][2370/9018]	Time 0.608 (0.621)	Data 0.001 (0.004)	Loss 1.7269 (1.7731)	Prec@1 56.000 (53.002)	Prec@5 81.000 (82.433)
Epoch: [62][2380/9018]	Time 0.617 (0.621)	Data 0.001 (0.004)	Loss 1.9721 (1.7730)	Prec@1 48.000 (53.004)	Prec@5 78.500 (82.435)
Epoch: [62][2390/9018]	Time 0.607 (0.621)	Data 0.005 (0.004)	Loss 1.9733 (1.7731)	Prec@1 50.000 (53.002)	Prec@5 78.000 (82.434)
Epoch: [62][2400/9018]	Time 0.617 (0.621)	Data 0.001 (0.004)	Loss 1.5559 (1.7730)	Prec@1 57.000 (53.005)	Prec@5 87.500 (82.438)
Epoch: [62][2410/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 2.0232 (1.7730)	Prec@1 51.000 (53.004)	Prec@5 74.000 (82.434)
Epoch: [62][2420/9018]	Time 0.618 (0.621)	Data 0.001 (0.004)	Loss 1.8470 (1.7729)	Prec@1 54.500 (53.008)	Prec@5 83.000 (82.436)
Epoch: [62][2430/9018]	Time 0.589 (0.621)	Data 0.001 (0.004)	Loss 1.7727 (1.7729)	Prec@1 48.500 (53.005)	Prec@5 84.000 (82.432)
Epoch: [62][2440/9018]	Time 0.600 (0.621)	Data 0.001 (0.004)	Loss 1.7871 (1.7731)	Prec@1 53.000 (53.001)	Prec@5 82.500 (82.433)
Epoch: [62][2450/9018]	Time 0.617 (0.621)	Data 0.001 (0.004)	Loss 1.7656 (1.7732)	Prec@1 56.000 (52.996)	Prec@5 81.000 (82.428)
Epoch: [62][2460/9018]	Time 0.609 (0.621)	Data 0.001 (0.004)	Loss 1.7414 (1.7730)	Prec@1 56.000 (53.002)	Prec@5 86.000 (82.434)
Epoch: [62][2470/9018]	Time 0.616 (0.621)	Data 0.001 (0.004)	Loss 1.7363 (1.7729)	Prec@1 57.000 (53.003)	Prec@5 82.000 (82.438)
Epoch: [62][2480/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.9501 (1.7729)	Prec@1 48.000 (53.007)	Prec@5 84.000 (82.439)
Epoch: [62][2490/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.6943 (1.7728)	Prec@1 53.500 (53.008)	Prec@5 85.000 (82.443)
Epoch: [62][2500/9018]	Time 0.736 (0.621)	Data 0.001 (0.004)	Loss 1.4777 (1.7729)	Prec@1 57.500 (53.004)	Prec@5 89.000 (82.443)
Epoch: [62][2510/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.8407 (1.7728)	Prec@1 50.500 (53.002)	Prec@5 82.000 (82.444)
Epoch: [62][2520/9018]	Time 0.619 (0.621)	Data 0.005 (0.004)	Loss 1.6447 (1.7728)	Prec@1 57.500 (53.007)	Prec@5 81.500 (82.443)
Epoch: [62][2530/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.5557 (1.7726)	Prec@1 53.000 (53.008)	Prec@5 88.000 (82.449)
Epoch: [62][2540/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.6620 (1.7725)	Prec@1 55.000 (53.015)	Prec@5 83.500 (82.451)
Epoch: [62][2550/9018]	Time 0.718 (0.621)	Data 0.001 (0.004)	Loss 1.7940 (1.7722)	Prec@1 49.500 (53.020)	Prec@5 81.000 (82.456)
Epoch: [62][2560/9018]	Time 0.644 (0.621)	Data 0.001 (0.004)	Loss 1.8397 (1.7723)	Prec@1 53.500 (53.022)	Prec@5 82.000 (82.455)
Epoch: [62][2570/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.7345 (1.7723)	Prec@1 49.000 (53.019)	Prec@5 82.500 (82.452)
Epoch: [62][2580/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.6752 (1.7723)	Prec@1 58.500 (53.019)	Prec@5 81.500 (82.454)
Epoch: [62][2590/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.8522 (1.7725)	Prec@1 52.500 (53.008)	Prec@5 79.500 (82.452)
Epoch: [62][2600/9018]	Time 0.627 (0.621)	Data 0.013 (0.004)	Loss 1.8061 (1.7725)	Prec@1 54.500 (53.007)	Prec@5 81.000 (82.455)
Epoch: [62][2610/9018]	Time 0.601 (0.621)	Data 0.003 (0.004)	Loss 1.9202 (1.7725)	Prec@1 43.000 (53.011)	Prec@5 78.500 (82.453)
Epoch: [62][2620/9018]	Time 0.618 (0.621)	Data 0.001 (0.004)	Loss 1.8681 (1.7725)	Prec@1 53.500 (53.014)	Prec@5 78.500 (82.452)
Epoch: [62][2630/9018]	Time 0.618 (0.621)	Data 0.004 (0.004)	Loss 1.7320 (1.7725)	Prec@1 53.000 (53.016)	Prec@5 82.500 (82.451)
Epoch: [62][2640/9018]	Time 0.616 (0.621)	Data 0.001 (0.004)	Loss 1.9120 (1.7726)	Prec@1 50.500 (53.009)	Prec@5 82.000 (82.453)
Epoch: [62][2650/9018]	Time 0.633 (0.621)	Data 0.014 (0.004)	Loss 1.6902 (1.7726)	Prec@1 55.000 (53.009)	Prec@5 86.500 (82.454)
Epoch: [62][2660/9018]	Time 0.588 (0.621)	Data 0.001 (0.004)	Loss 1.8124 (1.7727)	Prec@1 50.500 (53.005)	Prec@5 82.500 (82.454)
Epoch: [62][2670/9018]	Time 0.593 (0.621)	Data 0.001 (0.004)	Loss 1.7723 (1.7728)	Prec@1 51.000 (53.009)	Prec@5 83.500 (82.450)
Epoch: [62][2680/9018]	Time 0.627 (0.621)	Data 0.014 (0.004)	Loss 1.8196 (1.7725)	Prec@1 50.500 (53.016)	Prec@5 80.000 (82.454)
Epoch: [62][2690/9018]	Time 0.608 (0.621)	Data 0.001 (0.004)	Loss 1.6528 (1.7727)	Prec@1 54.500 (53.010)	Prec@5 84.500 (82.451)
Epoch: [62][2700/9018]	Time 0.621 (0.621)	Data 0.001 (0.004)	Loss 1.6948 (1.7728)	Prec@1 50.000 (53.006)	Prec@5 84.500 (82.447)
Epoch: [62][2710/9018]	Time 0.608 (0.621)	Data 0.001 (0.004)	Loss 1.9701 (1.7729)	Prec@1 48.000 (53.008)	Prec@5 79.500 (82.448)
Epoch: [62][2720/9018]	Time 0.623 (0.621)	Data 0.001 (0.004)	Loss 1.7881 (1.7729)	Prec@1 54.500 (53.015)	Prec@5 79.500 (82.445)
Epoch: [62][2730/9018]	Time 0.613 (0.621)	Data 0.015 (0.004)	Loss 1.4619 (1.7728)	Prec@1 58.500 (53.014)	Prec@5 86.000 (82.446)
Epoch: [62][2740/9018]	Time 0.616 (0.621)	Data 0.001 (0.004)	Loss 1.8398 (1.7727)	Prec@1 49.500 (53.017)	Prec@5 79.500 (82.447)
Epoch: [62][2750/9018]	Time 0.637 (0.621)	Data 0.001 (0.004)	Loss 1.6446 (1.7727)	Prec@1 56.500 (53.019)	Prec@5 85.000 (82.445)
Epoch: [62][2760/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.7706 (1.7728)	Prec@1 55.000 (53.017)	Prec@5 80.500 (82.442)
Epoch: [62][2770/9018]	Time 0.599 (0.621)	Data 0.001 (0.004)	Loss 1.8132 (1.7728)	Prec@1 50.500 (53.015)	Prec@5 81.000 (82.440)
Epoch: [62][2780/9018]	Time 0.603 (0.621)	Data 0.001 (0.004)	Loss 1.8627 (1.7729)	Prec@1 48.000 (53.014)	Prec@5 81.500 (82.437)
Epoch: [62][2790/9018]	Time 0.601 (0.621)	Data 0.015 (0.004)	Loss 1.6747 (1.7727)	Prec@1 50.500 (53.018)	Prec@5 81.500 (82.436)
Epoch: [62][2800/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.5514 (1.7726)	Prec@1 55.000 (53.020)	Prec@5 88.500 (82.439)
Epoch: [62][2810/9018]	Time 0.617 (0.621)	Data 0.001 (0.004)	Loss 1.8813 (1.7726)	Prec@1 49.500 (53.018)	Prec@5 80.000 (82.438)
Epoch: [62][2820/9018]	Time 0.597 (0.621)	Data 0.001 (0.004)	Loss 1.7128 (1.7727)	Prec@1 57.000 (53.016)	Prec@5 84.000 (82.438)
Epoch: [62][2830/9018]	Time 0.737 (0.621)	Data 0.001 (0.004)	Loss 1.8731 (1.7726)	Prec@1 51.000 (53.020)	Prec@5 81.500 (82.440)
Epoch: [62][2840/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.6735 (1.7724)	Prec@1 56.500 (53.025)	Prec@5 87.000 (82.443)
Epoch: [62][2850/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.7419 (1.7723)	Prec@1 53.500 (53.028)	Prec@5 82.000 (82.443)
Epoch: [62][2860/9018]	Time 0.596 (0.621)	Data 0.003 (0.004)	Loss 1.8756 (1.7724)	Prec@1 52.500 (53.028)	Prec@5 79.000 (82.438)
Epoch: [62][2870/9018]	Time 0.596 (0.621)	Data 0.017 (0.004)	Loss 1.6384 (1.7723)	Prec@1 55.000 (53.031)	Prec@5 88.000 (82.444)
Epoch: [62][2880/9018]	Time 0.742 (0.621)	Data 0.015 (0.004)	Loss 1.7434 (1.7724)	Prec@1 51.500 (53.026)	Prec@5 82.500 (82.442)
Epoch: [62][2890/9018]	Time 0.617 (0.621)	Data 0.001 (0.004)	Loss 1.7743 (1.7722)	Prec@1 46.500 (53.030)	Prec@5 83.000 (82.443)
Epoch: [62][2900/9018]	Time 0.607 (0.621)	Data 0.015 (0.004)	Loss 1.7146 (1.7723)	Prec@1 55.500 (53.031)	Prec@5 81.500 (82.443)
Epoch: [62][2910/9018]	Time 0.609 (0.621)	Data 0.001 (0.004)	Loss 1.8428 (1.7723)	Prec@1 52.000 (53.033)	Prec@5 82.000 (82.443)
Epoch: [62][2920/9018]	Time 0.618 (0.621)	Data 0.001 (0.004)	Loss 1.9285 (1.7721)	Prec@1 50.500 (53.039)	Prec@5 80.000 (82.445)
Epoch: [62][2930/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.7087 (1.7723)	Prec@1 54.000 (53.037)	Prec@5 84.000 (82.439)
Epoch: [62][2940/9018]	Time 0.600 (0.621)	Data 0.001 (0.004)	Loss 1.9483 (1.7723)	Prec@1 50.000 (53.035)	Prec@5 81.000 (82.437)
Epoch: [62][2950/9018]	Time 0.621 (0.621)	Data 0.011 (0.004)	Loss 1.8255 (1.7721)	Prec@1 51.000 (53.039)	Prec@5 82.500 (82.440)
Epoch: [62][2960/9018]	Time 0.625 (0.621)	Data 0.001 (0.004)	Loss 1.8324 (1.7721)	Prec@1 50.000 (53.041)	Prec@5 81.000 (82.438)
Epoch: [62][2970/9018]	Time 0.657 (0.621)	Data 0.001 (0.004)	Loss 1.5396 (1.7720)	Prec@1 61.000 (53.046)	Prec@5 83.500 (82.436)
Epoch: [62][2980/9018]	Time 0.658 (0.621)	Data 0.001 (0.004)	Loss 1.9684 (1.7720)	Prec@1 52.000 (53.044)	Prec@5 78.500 (82.434)
Epoch: [62][2990/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 1.7005 (1.7720)	Prec@1 57.500 (53.044)	Prec@5 85.000 (82.432)
Epoch: [62][3000/9018]	Time 0.628 (0.621)	Data 0.001 (0.004)	Loss 1.9932 (1.7720)	Prec@1 49.000 (53.048)	Prec@5 76.500 (82.432)
Epoch: [62][3010/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.9011 (1.7722)	Prec@1 54.000 (53.048)	Prec@5 79.000 (82.428)
Epoch: [62][3020/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.8720 (1.7723)	Prec@1 52.000 (53.048)	Prec@5 79.000 (82.426)
Epoch: [62][3030/9018]	Time 0.624 (0.621)	Data 0.001 (0.004)	Loss 1.8255 (1.7723)	Prec@1 50.500 (53.043)	Prec@5 82.000 (82.423)
Epoch: [62][3040/9018]	Time 0.610 (0.621)	Data 0.001 (0.004)	Loss 1.9033 (1.7727)	Prec@1 50.500 (53.035)	Prec@5 81.500 (82.418)
Epoch: [62][3050/9018]	Time 0.610 (0.621)	Data 0.001 (0.004)	Loss 1.5795 (1.7727)	Prec@1 58.000 (53.037)	Prec@5 86.000 (82.421)
Epoch: [62][3060/9018]	Time 0.622 (0.621)	Data 0.001 (0.004)	Loss 1.8689 (1.7726)	Prec@1 51.000 (53.039)	Prec@5 80.000 (82.422)
Epoch: [62][3070/9018]	Time 0.632 (0.621)	Data 0.014 (0.004)	Loss 1.7085 (1.7725)	Prec@1 54.000 (53.040)	Prec@5 83.500 (82.426)
Epoch: [62][3080/9018]	Time 0.615 (0.621)	Data 0.001 (0.004)	Loss 2.1468 (1.7725)	Prec@1 46.000 (53.041)	Prec@5 77.000 (82.427)
Epoch: [62][3090/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.9565 (1.7726)	Prec@1 53.000 (53.040)	Prec@5 80.000 (82.427)
Epoch: [62][3100/9018]	Time 0.610 (0.621)	Data 0.016 (0.004)	Loss 1.8714 (1.7726)	Prec@1 50.000 (53.039)	Prec@5 80.500 (82.430)
Epoch: [62][3110/9018]	Time 0.634 (0.621)	Data 0.001 (0.004)	Loss 1.7884 (1.7725)	Prec@1 56.500 (53.044)	Prec@5 83.000 (82.433)
Epoch: [62][3120/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.7961 (1.7725)	Prec@1 49.000 (53.046)	Prec@5 83.000 (82.434)
Epoch: [62][3130/9018]	Time 0.636 (0.621)	Data 0.001 (0.004)	Loss 1.7986 (1.7723)	Prec@1 50.500 (53.048)	Prec@5 83.500 (82.438)
Epoch: [62][3140/9018]	Time 0.630 (0.621)	Data 0.001 (0.004)	Loss 1.7676 (1.7725)	Prec@1 52.000 (53.048)	Prec@5 83.000 (82.434)
Epoch: [62][3150/9018]	Time 0.625 (0.621)	Data 0.001 (0.004)	Loss 1.8476 (1.7727)	Prec@1 49.500 (53.045)	Prec@5 84.500 (82.430)
Epoch: [62][3160/9018]	Time 0.709 (0.621)	Data 0.001 (0.004)	Loss 1.6949 (1.7725)	Prec@1 56.000 (53.048)	Prec@5 82.500 (82.432)
Epoch: [62][3170/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.7974 (1.7727)	Prec@1 52.500 (53.043)	Prec@5 82.000 (82.432)
Epoch: [62][3180/9018]	Time 0.610 (0.621)	Data 0.001 (0.004)	Loss 1.6716 (1.7726)	Prec@1 54.500 (53.044)	Prec@5 84.000 (82.434)
Epoch: [62][3190/9018]	Time 0.590 (0.621)	Data 0.001 (0.004)	Loss 1.5666 (1.7725)	Prec@1 56.000 (53.044)	Prec@5 89.000 (82.434)
Epoch: [62][3200/9018]	Time 0.623 (0.621)	Data 0.001 (0.004)	Loss 1.6033 (1.7723)	Prec@1 56.000 (53.049)	Prec@5 86.500 (82.438)
Epoch: [62][3210/9018]	Time 0.777 (0.621)	Data 0.001 (0.004)	Loss 1.9537 (1.7723)	Prec@1 45.000 (53.045)	Prec@5 75.500 (82.436)
Epoch: [62][3220/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 2.0738 (1.7727)	Prec@1 46.000 (53.034)	Prec@5 75.000 (82.428)
Epoch: [62][3230/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.7396 (1.7725)	Prec@1 52.000 (53.039)	Prec@5 85.500 (82.432)
Epoch: [62][3240/9018]	Time 0.616 (0.621)	Data 0.001 (0.004)	Loss 1.6597 (1.7726)	Prec@1 62.000 (53.039)	Prec@5 85.500 (82.430)
Epoch: [62][3250/9018]	Time 0.590 (0.621)	Data 0.001 (0.004)	Loss 1.8596 (1.7725)	Prec@1 48.500 (53.041)	Prec@5 81.000 (82.432)
Epoch: [62][3260/9018]	Time 0.628 (0.621)	Data 0.004 (0.004)	Loss 1.8205 (1.7724)	Prec@1 56.000 (53.046)	Prec@5 80.500 (82.434)
Epoch: [62][3270/9018]	Time 0.626 (0.621)	Data 0.001 (0.004)	Loss 1.6348 (1.7723)	Prec@1 53.000 (53.045)	Prec@5 86.500 (82.436)
Epoch: [62][3280/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.6879 (1.7723)	Prec@1 51.500 (53.039)	Prec@5 87.500 (82.437)
Epoch: [62][3290/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.8651 (1.7724)	Prec@1 53.000 (53.037)	Prec@5 79.500 (82.438)
Epoch: [62][3300/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.6504 (1.7724)	Prec@1 51.500 (53.036)	Prec@5 82.500 (82.438)
Epoch: [62][3310/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.8378 (1.7727)	Prec@1 54.000 (53.035)	Prec@5 80.000 (82.434)
Epoch: [62][3320/9018]	Time 0.609 (0.621)	Data 0.001 (0.004)	Loss 1.7357 (1.7726)	Prec@1 53.500 (53.036)	Prec@5 84.000 (82.434)
Epoch: [62][3330/9018]	Time 0.599 (0.621)	Data 0.001 (0.004)	Loss 1.7841 (1.7728)	Prec@1 51.000 (53.030)	Prec@5 83.500 (82.430)
Epoch: [62][3340/9018]	Time 0.619 (0.621)	Data 0.015 (0.004)	Loss 1.7135 (1.7727)	Prec@1 53.500 (53.030)	Prec@5 83.000 (82.434)
Epoch: [62][3350/9018]	Time 0.614 (0.621)	Data 0.001 (0.004)	Loss 1.9587 (1.7728)	Prec@1 49.500 (53.029)	Prec@5 83.000 (82.434)
Epoch: [62][3360/9018]	Time 0.599 (0.621)	Data 0.001 (0.004)	Loss 1.7445 (1.7729)	Prec@1 53.500 (53.025)	Prec@5 80.000 (82.433)
Epoch: [62][3370/9018]	Time 0.625 (0.621)	Data 0.014 (0.004)	Loss 1.9447 (1.7729)	Prec@1 49.000 (53.024)	Prec@5 76.500 (82.434)
Epoch: [62][3380/9018]	Time 0.630 (0.621)	Data 0.015 (0.004)	Loss 1.6244 (1.7727)	Prec@1 54.500 (53.030)	Prec@5 86.500 (82.437)
Epoch: [62][3390/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.8989 (1.7728)	Prec@1 51.500 (53.029)	Prec@5 81.500 (82.436)
Epoch: [62][3400/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.7053 (1.7729)	Prec@1 53.500 (53.029)	Prec@5 82.000 (82.432)
Epoch: [62][3410/9018]	Time 0.621 (0.621)	Data 0.001 (0.004)	Loss 1.6549 (1.7727)	Prec@1 55.000 (53.032)	Prec@5 85.000 (82.434)
Epoch: [62][3420/9018]	Time 0.625 (0.621)	Data 0.001 (0.004)	Loss 1.6906 (1.7726)	Prec@1 53.500 (53.033)	Prec@5 82.500 (82.436)
Epoch: [62][3430/9018]	Time 0.603 (0.621)	Data 0.001 (0.004)	Loss 1.5404 (1.7724)	Prec@1 58.500 (53.035)	Prec@5 86.500 (82.440)
Epoch: [62][3440/9018]	Time 0.629 (0.621)	Data 0.001 (0.004)	Loss 1.5051 (1.7723)	Prec@1 63.000 (53.033)	Prec@5 87.500 (82.439)
Epoch: [62][3450/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 1.7101 (1.7724)	Prec@1 53.000 (53.028)	Prec@5 82.000 (82.439)
Epoch: [62][3460/9018]	Time 0.609 (0.621)	Data 0.001 (0.004)	Loss 1.6458 (1.7722)	Prec@1 51.500 (53.034)	Prec@5 85.000 (82.444)
Epoch: [62][3470/9018]	Time 0.638 (0.621)	Data 0.001 (0.004)	Loss 1.9263 (1.7721)	Prec@1 47.000 (53.035)	Prec@5 76.000 (82.443)
Epoch: [62][3480/9018]	Time 0.617 (0.621)	Data 0.001 (0.004)	Loss 1.8062 (1.7721)	Prec@1 53.500 (53.039)	Prec@5 83.000 (82.444)
Epoch: [62][3490/9018]	Time 0.767 (0.621)	Data 0.001 (0.004)	Loss 1.8674 (1.7718)	Prec@1 46.500 (53.043)	Prec@5 81.500 (82.448)
Epoch: [62][3500/9018]	Time 0.624 (0.621)	Data 0.001 (0.004)	Loss 1.8863 (1.7720)	Prec@1 53.000 (53.042)	Prec@5 80.500 (82.446)
Epoch: [62][3510/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.7860 (1.7721)	Prec@1 53.000 (53.041)	Prec@5 83.500 (82.443)
Epoch: [62][3520/9018]	Time 0.623 (0.621)	Data 0.017 (0.004)	Loss 1.5168 (1.7720)	Prec@1 58.500 (53.041)	Prec@5 85.500 (82.445)
Epoch: [62][3530/9018]	Time 0.634 (0.621)	Data 0.001 (0.004)	Loss 1.6744 (1.7721)	Prec@1 54.000 (53.036)	Prec@5 87.000 (82.446)
Epoch: [62][3540/9018]	Time 0.765 (0.621)	Data 0.001 (0.004)	Loss 1.9341 (1.7723)	Prec@1 49.500 (53.033)	Prec@5 82.500 (82.444)
Epoch: [62][3550/9018]	Time 0.592 (0.621)	Data 0.001 (0.004)	Loss 1.8084 (1.7723)	Prec@1 48.500 (53.034)	Prec@5 83.000 (82.443)
Epoch: [62][3560/9018]	Time 0.625 (0.621)	Data 0.001 (0.004)	Loss 1.9624 (1.7722)	Prec@1 53.000 (53.040)	Prec@5 78.000 (82.444)
Epoch: [62][3570/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.5420 (1.7722)	Prec@1 57.500 (53.040)	Prec@5 87.000 (82.441)
Epoch: [62][3580/9018]	Time 0.650 (0.621)	Data 0.001 (0.004)	Loss 1.6185 (1.7723)	Prec@1 60.500 (53.043)	Prec@5 85.000 (82.441)
Epoch: [62][3590/9018]	Time 0.620 (0.621)	Data 0.001 (0.004)	Loss 1.6723 (1.7724)	Prec@1 56.000 (53.044)	Prec@5 85.000 (82.441)
Epoch: [62][3600/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.5633 (1.7724)	Prec@1 59.500 (53.048)	Prec@5 84.000 (82.438)
Epoch: [62][3610/9018]	Time 0.622 (0.621)	Data 0.001 (0.004)	Loss 1.9273 (1.7723)	Prec@1 51.000 (53.052)	Prec@5 82.500 (82.442)
Epoch: [62][3620/9018]	Time 0.615 (0.621)	Data 0.014 (0.004)	Loss 1.9735 (1.7724)	Prec@1 50.500 (53.048)	Prec@5 79.000 (82.438)
Epoch: [62][3630/9018]	Time 0.609 (0.621)	Data 0.001 (0.004)	Loss 2.0036 (1.7724)	Prec@1 48.000 (53.049)	Prec@5 78.500 (82.437)
Epoch: [62][3640/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.7974 (1.7725)	Prec@1 52.500 (53.048)	Prec@5 82.000 (82.437)
Epoch: [62][3650/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.7185 (1.7725)	Prec@1 53.000 (53.050)	Prec@5 84.500 (82.436)
Epoch: [62][3660/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.6634 (1.7725)	Prec@1 54.000 (53.049)	Prec@5 85.000 (82.435)
Epoch: [62][3670/9018]	Time 0.603 (0.621)	Data 0.001 (0.004)	Loss 1.6557 (1.7726)	Prec@1 57.500 (53.047)	Prec@5 84.000 (82.434)
Epoch: [62][3680/9018]	Time 0.599 (0.621)	Data 0.003 (0.004)	Loss 1.6510 (1.7725)	Prec@1 57.000 (53.049)	Prec@5 83.500 (82.432)
Epoch: [62][3690/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 1.8978 (1.7726)	Prec@1 52.000 (53.044)	Prec@5 82.000 (82.431)
Epoch: [62][3700/9018]	Time 0.621 (0.621)	Data 0.001 (0.004)	Loss 1.7447 (1.7726)	Prec@1 52.000 (53.039)	Prec@5 84.500 (82.431)
Epoch: [62][3710/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.7435 (1.7724)	Prec@1 55.000 (53.044)	Prec@5 85.000 (82.436)
Epoch: [62][3720/9018]	Time 0.608 (0.621)	Data 0.014 (0.004)	Loss 1.7673 (1.7725)	Prec@1 55.500 (53.042)	Prec@5 82.500 (82.434)
Epoch: [62][3730/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.6659 (1.7728)	Prec@1 55.000 (53.035)	Prec@5 85.500 (82.430)
Epoch: [62][3740/9018]	Time 0.609 (0.621)	Data 0.001 (0.004)	Loss 1.8504 (1.7728)	Prec@1 52.000 (53.035)	Prec@5 81.500 (82.433)
Epoch: [62][3750/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.9115 (1.7728)	Prec@1 51.500 (53.031)	Prec@5 81.000 (82.433)
Epoch: [62][3760/9018]	Time 0.622 (0.621)	Data 0.001 (0.003)	Loss 1.6560 (1.7728)	Prec@1 55.500 (53.029)	Prec@5 81.500 (82.432)
Epoch: [62][3770/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.6453 (1.7727)	Prec@1 52.000 (53.030)	Prec@5 83.500 (82.435)
Epoch: [62][3780/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.7530 (1.7728)	Prec@1 54.000 (53.027)	Prec@5 83.000 (82.435)
Epoch: [62][3790/9018]	Time 0.600 (0.621)	Data 0.001 (0.004)	Loss 1.6708 (1.7727)	Prec@1 55.500 (53.031)	Prec@5 84.000 (82.438)
Epoch: [62][3800/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.7314 (1.7730)	Prec@1 57.500 (53.022)	Prec@5 82.000 (82.430)
Epoch: [62][3810/9018]	Time 0.602 (0.621)	Data 0.001 (0.003)	Loss 1.8616 (1.7731)	Prec@1 49.500 (53.020)	Prec@5 82.000 (82.428)
Epoch: [62][3820/9018]	Time 0.737 (0.621)	Data 0.001 (0.003)	Loss 1.7456 (1.7729)	Prec@1 51.000 (53.022)	Prec@5 84.500 (82.430)
Epoch: [62][3830/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.9009 (1.7730)	Prec@1 52.000 (53.021)	Prec@5 82.000 (82.430)
Epoch: [62][3840/9018]	Time 0.617 (0.621)	Data 0.016 (0.003)	Loss 1.7585 (1.7729)	Prec@1 49.500 (53.021)	Prec@5 85.000 (82.431)
Epoch: [62][3850/9018]	Time 0.639 (0.621)	Data 0.002 (0.003)	Loss 1.7860 (1.7729)	Prec@1 51.000 (53.023)	Prec@5 83.500 (82.430)
Epoch: [62][3860/9018]	Time 0.592 (0.621)	Data 0.001 (0.003)	Loss 1.8088 (1.7730)	Prec@1 55.000 (53.022)	Prec@5 78.500 (82.427)
Epoch: [62][3870/9018]	Time 0.786 (0.621)	Data 0.001 (0.003)	Loss 1.6974 (1.7730)	Prec@1 58.000 (53.022)	Prec@5 83.000 (82.430)
Epoch: [62][3880/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.7609 (1.7730)	Prec@1 54.500 (53.020)	Prec@5 81.000 (82.427)
Epoch: [62][3890/9018]	Time 0.602 (0.621)	Data 0.001 (0.003)	Loss 1.7176 (1.7731)	Prec@1 55.000 (53.017)	Prec@5 81.000 (82.427)
Epoch: [62][3900/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.7142 (1.7731)	Prec@1 56.000 (53.015)	Prec@5 81.500 (82.425)
Epoch: [62][3910/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.7929 (1.7733)	Prec@1 52.500 (53.013)	Prec@5 82.000 (82.424)
Epoch: [62][3920/9018]	Time 0.633 (0.621)	Data 0.001 (0.003)	Loss 1.8447 (1.7735)	Prec@1 48.500 (53.008)	Prec@5 80.000 (82.419)
Epoch: [62][3930/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.6694 (1.7734)	Prec@1 56.000 (53.012)	Prec@5 82.000 (82.422)
Epoch: [62][3940/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.8765 (1.7733)	Prec@1 49.000 (53.011)	Prec@5 82.000 (82.424)
Epoch: [62][3950/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.5969 (1.7734)	Prec@1 59.000 (53.012)	Prec@5 85.500 (82.422)
Epoch: [62][3960/9018]	Time 0.603 (0.621)	Data 0.005 (0.003)	Loss 1.8980 (1.7734)	Prec@1 51.500 (53.013)	Prec@5 79.000 (82.421)
Epoch: [62][3970/9018]	Time 0.643 (0.621)	Data 0.001 (0.003)	Loss 1.8200 (1.7734)	Prec@1 48.000 (53.014)	Prec@5 82.500 (82.421)
Epoch: [62][3980/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.5816 (1.7735)	Prec@1 52.500 (53.012)	Prec@5 86.500 (82.421)
Epoch: [62][3990/9018]	Time 0.598 (0.621)	Data 0.001 (0.003)	Loss 1.8361 (1.7734)	Prec@1 56.000 (53.015)	Prec@5 79.500 (82.421)
Epoch: [62][4000/9018]	Time 0.641 (0.621)	Data 0.015 (0.003)	Loss 1.8353 (1.7735)	Prec@1 54.000 (53.010)	Prec@5 78.500 (82.417)
Epoch: [62][4010/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.8099 (1.7736)	Prec@1 52.500 (53.010)	Prec@5 80.000 (82.416)
Epoch: [62][4020/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.8772 (1.7736)	Prec@1 53.500 (53.011)	Prec@5 80.000 (82.415)
Epoch: [62][4030/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.6958 (1.7737)	Prec@1 51.500 (53.009)	Prec@5 85.500 (82.412)
Epoch: [62][4040/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.7581 (1.7737)	Prec@1 53.500 (53.011)	Prec@5 85.500 (82.410)
Epoch: [62][4050/9018]	Time 0.620 (0.621)	Data 0.001 (0.003)	Loss 1.6389 (1.7737)	Prec@1 55.500 (53.011)	Prec@5 86.000 (82.412)
Epoch: [62][4060/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.9158 (1.7738)	Prec@1 51.000 (53.008)	Prec@5 79.500 (82.408)
Epoch: [62][4070/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.8556 (1.7740)	Prec@1 53.000 (53.005)	Prec@5 81.500 (82.405)
Epoch: [62][4080/9018]	Time 0.619 (0.621)	Data 0.001 (0.003)	Loss 1.7966 (1.7740)	Prec@1 55.000 (53.001)	Prec@5 83.000 (82.406)
Epoch: [62][4090/9018]	Time 0.627 (0.621)	Data 0.016 (0.003)	Loss 1.8209 (1.7741)	Prec@1 55.000 (52.998)	Prec@5 80.000 (82.404)
Epoch: [62][4100/9018]	Time 0.633 (0.621)	Data 0.001 (0.003)	Loss 1.8771 (1.7740)	Prec@1 46.000 (53.001)	Prec@5 83.000 (82.405)
Epoch: [62][4110/9018]	Time 0.622 (0.621)	Data 0.001 (0.003)	Loss 1.6985 (1.7740)	Prec@1 54.500 (53.004)	Prec@5 84.500 (82.406)
Epoch: [62][4120/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.7243 (1.7740)	Prec@1 54.000 (53.006)	Prec@5 83.000 (82.406)
Epoch: [62][4130/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.7880 (1.7739)	Prec@1 49.000 (53.004)	Prec@5 83.000 (82.409)
Epoch: [62][4140/9018]	Time 0.641 (0.622)	Data 0.001 (0.003)	Loss 1.6749 (1.7738)	Prec@1 52.500 (53.005)	Prec@5 80.000 (82.408)
Epoch: [62][4150/9018]	Time 0.766 (0.622)	Data 0.001 (0.003)	Loss 1.7092 (1.7737)	Prec@1 56.000 (53.009)	Prec@5 82.500 (82.410)
Epoch: [62][4160/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.6645 (1.7737)	Prec@1 55.000 (53.010)	Prec@5 83.500 (82.410)
Epoch: [62][4170/9018]	Time 0.649 (0.622)	Data 0.001 (0.003)	Loss 1.5923 (1.7737)	Prec@1 59.500 (53.010)	Prec@5 85.000 (82.409)
Epoch: [62][4180/9018]	Time 0.636 (0.622)	Data 0.015 (0.003)	Loss 1.6119 (1.7736)	Prec@1 58.500 (53.013)	Prec@5 83.500 (82.408)
Epoch: [62][4190/9018]	Time 0.629 (0.622)	Data 0.004 (0.003)	Loss 1.7309 (1.7735)	Prec@1 52.000 (53.013)	Prec@5 84.000 (82.410)
Epoch: [62][4200/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.7752 (1.7734)	Prec@1 52.500 (53.016)	Prec@5 80.500 (82.410)
Epoch: [62][4210/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.8208 (1.7735)	Prec@1 54.500 (53.014)	Prec@5 82.500 (82.410)
Epoch: [62][4220/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.9835 (1.7737)	Prec@1 50.000 (53.010)	Prec@5 77.000 (82.407)
Epoch: [62][4230/9018]	Time 0.618 (0.622)	Data 0.016 (0.003)	Loss 1.7591 (1.7737)	Prec@1 56.500 (53.010)	Prec@5 80.500 (82.408)
Epoch: [62][4240/9018]	Time 0.634 (0.622)	Data 0.001 (0.003)	Loss 1.7278 (1.7737)	Prec@1 55.000 (53.009)	Prec@5 84.000 (82.407)
Epoch: [62][4250/9018]	Time 0.650 (0.622)	Data 0.001 (0.003)	Loss 1.7000 (1.7737)	Prec@1 52.500 (53.008)	Prec@5 87.500 (82.408)
Epoch: [62][4260/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.4554 (1.7738)	Prec@1 60.500 (53.006)	Prec@5 86.000 (82.404)
Epoch: [62][4270/9018]	Time 0.613 (0.622)	Data 0.007 (0.003)	Loss 1.7079 (1.7738)	Prec@1 59.000 (53.005)	Prec@5 84.000 (82.405)
Epoch: [62][4280/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.7834 (1.7739)	Prec@1 56.000 (53.005)	Prec@5 82.000 (82.403)
Epoch: [62][4290/9018]	Time 0.614 (0.622)	Data 0.014 (0.003)	Loss 1.6517 (1.7738)	Prec@1 52.500 (53.008)	Prec@5 83.000 (82.404)
Epoch: [62][4300/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.9836 (1.7738)	Prec@1 44.500 (53.011)	Prec@5 80.000 (82.404)
Epoch: [62][4310/9018]	Time 0.618 (0.622)	Data 0.010 (0.003)	Loss 1.6327 (1.7737)	Prec@1 57.500 (53.009)	Prec@5 85.500 (82.406)
Epoch: [62][4320/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7879 (1.7737)	Prec@1 51.500 (53.011)	Prec@5 81.500 (82.407)
Epoch: [62][4330/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.7216 (1.7736)	Prec@1 53.000 (53.011)	Prec@5 84.000 (82.408)
Epoch: [62][4340/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.7450 (1.7737)	Prec@1 51.500 (53.009)	Prec@5 82.500 (82.406)
Epoch: [62][4350/9018]	Time 0.636 (0.622)	Data 0.001 (0.003)	Loss 1.9358 (1.7738)	Prec@1 46.000 (53.005)	Prec@5 80.500 (82.408)
Epoch: [62][4360/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.4707 (1.7738)	Prec@1 62.500 (53.003)	Prec@5 87.500 (82.405)
Epoch: [62][4370/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.9555 (1.7739)	Prec@1 51.000 (53.004)	Prec@5 76.000 (82.402)
Epoch: [62][4380/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.6774 (1.7739)	Prec@1 56.000 (53.006)	Prec@5 83.500 (82.402)
Epoch: [62][4390/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.9566 (1.7739)	Prec@1 45.000 (53.006)	Prec@5 78.000 (82.400)
Epoch: [62][4400/9018]	Time 0.607 (0.622)	Data 0.003 (0.003)	Loss 1.7249 (1.7739)	Prec@1 53.000 (53.003)	Prec@5 85.000 (82.400)
Epoch: [62][4410/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.8778 (1.7739)	Prec@1 48.000 (53.002)	Prec@5 81.500 (82.400)
Epoch: [62][4420/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.6369 (1.7737)	Prec@1 57.000 (53.006)	Prec@5 83.500 (82.404)
Epoch: [62][4430/9018]	Time 0.748 (0.622)	Data 0.001 (0.003)	Loss 1.7862 (1.7737)	Prec@1 51.000 (53.004)	Prec@5 81.500 (82.401)
Epoch: [62][4440/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.7529 (1.7738)	Prec@1 54.000 (53.002)	Prec@5 82.500 (82.397)
Epoch: [62][4450/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.6985 (1.7738)	Prec@1 54.000 (53.006)	Prec@5 84.500 (82.400)
Epoch: [62][4460/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7843 (1.7738)	Prec@1 52.000 (53.006)	Prec@5 82.000 (82.399)
Epoch: [62][4470/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.7026 (1.7737)	Prec@1 58.500 (53.010)	Prec@5 83.500 (82.401)
Epoch: [62][4480/9018]	Time 0.796 (0.622)	Data 0.001 (0.003)	Loss 1.5839 (1.7736)	Prec@1 55.000 (53.009)	Prec@5 86.500 (82.401)
Epoch: [62][4490/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.5992 (1.7735)	Prec@1 58.000 (53.012)	Prec@5 86.500 (82.405)
Epoch: [62][4500/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7501 (1.7735)	Prec@1 47.500 (53.011)	Prec@5 86.500 (82.404)
Epoch: [62][4510/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.7906 (1.7735)	Prec@1 56.000 (53.011)	Prec@5 81.500 (82.403)
Epoch: [62][4520/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7778 (1.7736)	Prec@1 55.000 (53.009)	Prec@5 84.500 (82.403)
Epoch: [62][4530/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.8940 (1.7736)	Prec@1 50.000 (53.010)	Prec@5 76.500 (82.401)
Epoch: [62][4540/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.7963 (1.7737)	Prec@1 51.500 (53.006)	Prec@5 80.500 (82.400)
Epoch: [62][4550/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.6357 (1.7737)	Prec@1 53.000 (53.004)	Prec@5 84.500 (82.397)
Epoch: [62][4560/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.6876 (1.7738)	Prec@1 56.500 (53.005)	Prec@5 83.500 (82.394)
Epoch: [62][4570/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.6756 (1.7740)	Prec@1 57.000 (53.005)	Prec@5 82.500 (82.393)
Epoch: [62][4580/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.8684 (1.7740)	Prec@1 50.000 (53.006)	Prec@5 82.000 (82.392)
Epoch: [62][4590/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.7181 (1.7740)	Prec@1 55.000 (53.008)	Prec@5 84.500 (82.392)
Epoch: [62][4600/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.7125 (1.7740)	Prec@1 59.000 (53.008)	Prec@5 83.500 (82.389)
Epoch: [62][4610/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.5336 (1.7738)	Prec@1 61.000 (53.014)	Prec@5 85.000 (82.393)
Epoch: [62][4620/9018]	Time 0.614 (0.622)	Data 0.007 (0.003)	Loss 1.7419 (1.7738)	Prec@1 53.500 (53.013)	Prec@5 83.500 (82.392)
Epoch: [62][4630/9018]	Time 0.614 (0.622)	Data 0.017 (0.003)	Loss 1.8527 (1.7739)	Prec@1 51.000 (53.011)	Prec@5 79.500 (82.393)
Epoch: [62][4640/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.7874 (1.7739)	Prec@1 50.000 (53.011)	Prec@5 80.500 (82.392)
Epoch: [62][4650/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.8106 (1.7740)	Prec@1 55.000 (53.009)	Prec@5 80.000 (82.391)
Epoch: [62][4660/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.8094 (1.7739)	Prec@1 49.500 (53.010)	Prec@5 84.500 (82.394)
Epoch: [62][4670/9018]	Time 0.632 (0.622)	Data 0.014 (0.003)	Loss 1.8921 (1.7740)	Prec@1 48.000 (53.011)	Prec@5 79.500 (82.394)
Epoch: [62][4680/9018]	Time 0.653 (0.622)	Data 0.001 (0.003)	Loss 1.8222 (1.7742)	Prec@1 47.500 (53.006)	Prec@5 81.500 (82.390)
Epoch: [62][4690/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.6539 (1.7740)	Prec@1 56.500 (53.008)	Prec@5 85.000 (82.394)
Epoch: [62][4700/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.7695 (1.7741)	Prec@1 52.500 (53.006)	Prec@5 82.000 (82.391)
Epoch: [62][4710/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.7676 (1.7740)	Prec@1 54.500 (53.012)	Prec@5 80.000 (82.393)
Epoch: [62][4720/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8480 (1.7740)	Prec@1 51.000 (53.013)	Prec@5 82.500 (82.393)
Epoch: [62][4730/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.7182 (1.7740)	Prec@1 53.500 (53.015)	Prec@5 82.500 (82.395)
Epoch: [62][4740/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.7830 (1.7740)	Prec@1 54.500 (53.016)	Prec@5 80.000 (82.392)
Epoch: [62][4750/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.9115 (1.7740)	Prec@1 52.000 (53.016)	Prec@5 79.500 (82.394)
Epoch: [62][4760/9018]	Time 0.741 (0.622)	Data 0.001 (0.003)	Loss 1.8180 (1.7741)	Prec@1 53.000 (53.013)	Prec@5 83.000 (82.391)
Epoch: [62][4770/9018]	Time 0.625 (0.622)	Data 0.025 (0.003)	Loss 2.0208 (1.7741)	Prec@1 48.500 (53.014)	Prec@5 77.000 (82.391)
Epoch: [62][4780/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.5758 (1.7741)	Prec@1 61.500 (53.016)	Prec@5 86.500 (82.394)
Epoch: [62][4790/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.8777 (1.7742)	Prec@1 52.000 (53.016)	Prec@5 80.500 (82.393)
Epoch: [62][4800/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.6806 (1.7742)	Prec@1 53.500 (53.012)	Prec@5 85.500 (82.394)
Epoch: [62][4810/9018]	Time 0.724 (0.622)	Data 0.001 (0.003)	Loss 1.6639 (1.7742)	Prec@1 55.000 (53.012)	Prec@5 86.000 (82.395)
Epoch: [62][4820/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.5261 (1.7741)	Prec@1 59.000 (53.014)	Prec@5 87.500 (82.396)
Epoch: [62][4830/9018]	Time 0.635 (0.622)	Data 0.001 (0.003)	Loss 1.7183 (1.7742)	Prec@1 49.000 (53.010)	Prec@5 87.000 (82.396)
Epoch: [62][4840/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.9243 (1.7742)	Prec@1 48.000 (53.007)	Prec@5 76.000 (82.396)
Epoch: [62][4850/9018]	Time 0.618 (0.622)	Data 0.007 (0.003)	Loss 1.6610 (1.7741)	Prec@1 56.500 (53.009)	Prec@5 85.000 (82.399)
Epoch: [62][4860/9018]	Time 0.626 (0.622)	Data 0.014 (0.003)	Loss 1.6598 (1.7740)	Prec@1 51.500 (53.011)	Prec@5 87.000 (82.399)
Epoch: [62][4870/9018]	Time 0.609 (0.622)	Data 0.006 (0.003)	Loss 1.8596 (1.7740)	Prec@1 52.500 (53.013)	Prec@5 80.000 (82.399)
Epoch: [62][4880/9018]	Time 0.617 (0.622)	Data 0.002 (0.003)	Loss 1.6564 (1.7740)	Prec@1 56.500 (53.011)	Prec@5 84.500 (82.398)
Epoch: [62][4890/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.5674 (1.7740)	Prec@1 56.500 (53.011)	Prec@5 85.000 (82.398)
Epoch: [62][4900/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.5660 (1.7740)	Prec@1 55.000 (53.009)	Prec@5 85.000 (82.398)
Epoch: [62][4910/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.7796 (1.7740)	Prec@1 53.000 (53.007)	Prec@5 81.500 (82.397)
Epoch: [62][4920/9018]	Time 0.615 (0.622)	Data 0.002 (0.003)	Loss 1.5481 (1.7740)	Prec@1 61.500 (53.011)	Prec@5 89.000 (82.398)
Epoch: [62][4930/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.6966 (1.7739)	Prec@1 52.000 (53.015)	Prec@5 85.500 (82.400)
Epoch: [62][4940/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.6685 (1.7740)	Prec@1 57.000 (53.015)	Prec@5 82.500 (82.399)
Epoch: [62][4950/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.5723 (1.7738)	Prec@1 62.000 (53.019)	Prec@5 85.000 (82.401)
Epoch: [62][4960/9018]	Time 0.648 (0.622)	Data 0.001 (0.003)	Loss 1.5496 (1.7737)	Prec@1 53.500 (53.023)	Prec@5 84.000 (82.403)
Epoch: [62][4970/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.5712 (1.7737)	Prec@1 58.000 (53.019)	Prec@5 84.500 (82.402)
Epoch: [62][4980/9018]	Time 0.620 (0.622)	Data 0.016 (0.003)	Loss 1.6913 (1.7737)	Prec@1 52.500 (53.019)	Prec@5 82.500 (82.401)
Epoch: [62][4990/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.8380 (1.7736)	Prec@1 48.000 (53.020)	Prec@5 86.500 (82.402)
Epoch: [62][5000/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.9200 (1.7737)	Prec@1 50.500 (53.020)	Prec@5 83.500 (82.401)
Epoch: [62][5010/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 2.0130 (1.7737)	Prec@1 47.000 (53.021)	Prec@5 78.500 (82.402)
Epoch: [62][5020/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.5775 (1.7736)	Prec@1 61.000 (53.024)	Prec@5 83.500 (82.402)
Epoch: [62][5030/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 2.0526 (1.7737)	Prec@1 45.000 (53.021)	Prec@5 78.500 (82.401)
Epoch: [62][5040/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.7270 (1.7737)	Prec@1 55.000 (53.021)	Prec@5 82.000 (82.401)
Epoch: [62][5050/9018]	Time 0.611 (0.622)	Data 0.015 (0.003)	Loss 1.6805 (1.7737)	Prec@1 56.500 (53.024)	Prec@5 84.500 (82.400)
Epoch: [62][5060/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.8406 (1.7735)	Prec@1 52.500 (53.027)	Prec@5 82.000 (82.404)
Epoch: [62][5070/9018]	Time 0.610 (0.622)	Data 0.005 (0.003)	Loss 1.7767 (1.7734)	Prec@1 52.500 (53.029)	Prec@5 81.000 (82.406)
Epoch: [62][5080/9018]	Time 0.619 (0.622)	Data 0.009 (0.003)	Loss 1.8947 (1.7735)	Prec@1 52.500 (53.028)	Prec@5 82.000 (82.407)
Epoch: [62][5090/9018]	Time 0.794 (0.622)	Data 0.001 (0.003)	Loss 1.6968 (1.7734)	Prec@1 56.000 (53.030)	Prec@5 80.000 (82.408)
Epoch: [62][5100/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.8036 (1.7734)	Prec@1 54.500 (53.031)	Prec@5 81.000 (82.409)
Epoch: [62][5110/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.7899 (1.7733)	Prec@1 50.500 (53.030)	Prec@5 84.000 (82.410)
Epoch: [62][5120/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.6973 (1.7732)	Prec@1 57.500 (53.030)	Prec@5 84.000 (82.413)
Epoch: [62][5130/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8972 (1.7732)	Prec@1 51.500 (53.031)	Prec@5 82.500 (82.412)
Epoch: [62][5140/9018]	Time 0.758 (0.622)	Data 0.017 (0.003)	Loss 1.7810 (1.7733)	Prec@1 54.500 (53.030)	Prec@5 83.500 (82.411)
Epoch: [62][5150/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.7086 (1.7733)	Prec@1 55.500 (53.031)	Prec@5 85.000 (82.409)
Epoch: [62][5160/9018]	Time 0.638 (0.622)	Data 0.001 (0.003)	Loss 1.7686 (1.7733)	Prec@1 55.000 (53.031)	Prec@5 82.000 (82.409)
Epoch: [62][5170/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.8280 (1.7733)	Prec@1 49.000 (53.028)	Prec@5 82.000 (82.409)
Epoch: [62][5180/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.6777 (1.7734)	Prec@1 58.000 (53.030)	Prec@5 84.000 (82.407)
Epoch: [62][5190/9018]	Time 0.640 (0.622)	Data 0.014 (0.003)	Loss 1.7025 (1.7735)	Prec@1 56.000 (53.030)	Prec@5 85.000 (82.407)
Epoch: [62][5200/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.8372 (1.7734)	Prec@1 51.500 (53.031)	Prec@5 82.000 (82.409)
Epoch: [62][5210/9018]	Time 0.636 (0.622)	Data 0.001 (0.003)	Loss 1.8458 (1.7733)	Prec@1 53.000 (53.033)	Prec@5 80.000 (82.410)
Epoch: [62][5220/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8749 (1.7733)	Prec@1 53.500 (53.031)	Prec@5 80.500 (82.411)
Epoch: [62][5230/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.8684 (1.7733)	Prec@1 50.500 (53.035)	Prec@5 77.500 (82.409)
Epoch: [62][5240/9018]	Time 0.626 (0.622)	Data 0.016 (0.003)	Loss 1.8493 (1.7734)	Prec@1 52.500 (53.034)	Prec@5 82.000 (82.409)
Epoch: [62][5250/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.7143 (1.7733)	Prec@1 56.000 (53.032)	Prec@5 82.500 (82.412)
Epoch: [62][5260/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.8391 (1.7734)	Prec@1 47.500 (53.031)	Prec@5 81.500 (82.411)
Epoch: [62][5270/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.6921 (1.7734)	Prec@1 53.500 (53.031)	Prec@5 83.000 (82.409)
Epoch: [62][5280/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.7821 (1.7734)	Prec@1 55.500 (53.032)	Prec@5 81.000 (82.410)
Epoch: [62][5290/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.7731 (1.7733)	Prec@1 50.500 (53.036)	Prec@5 79.000 (82.409)
Epoch: [62][5300/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.8044 (1.7732)	Prec@1 48.500 (53.038)	Prec@5 80.000 (82.412)
Epoch: [62][5310/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.6924 (1.7732)	Prec@1 51.500 (53.038)	Prec@5 85.500 (82.412)
Epoch: [62][5320/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.6980 (1.7731)	Prec@1 52.500 (53.039)	Prec@5 83.500 (82.412)
Epoch: [62][5330/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7188 (1.7731)	Prec@1 49.500 (53.042)	Prec@5 81.500 (82.414)
Epoch: [62][5340/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.9384 (1.7731)	Prec@1 49.500 (53.042)	Prec@5 75.000 (82.412)
Epoch: [62][5350/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.6691 (1.7730)	Prec@1 53.500 (53.041)	Prec@5 86.000 (82.412)
Epoch: [62][5360/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8430 (1.7730)	Prec@1 47.500 (53.039)	Prec@5 81.500 (82.410)
Epoch: [62][5370/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.8689 (1.7731)	Prec@1 49.000 (53.038)	Prec@5 84.000 (82.408)
Epoch: [62][5380/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.7933 (1.7732)	Prec@1 50.500 (53.035)	Prec@5 83.500 (82.407)
Epoch: [62][5390/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.7020 (1.7733)	Prec@1 56.000 (53.036)	Prec@5 83.000 (82.406)
Epoch: [62][5400/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8638 (1.7731)	Prec@1 49.500 (53.036)	Prec@5 83.000 (82.409)
Epoch: [62][5410/9018]	Time 0.637 (0.622)	Data 0.001 (0.003)	Loss 1.7575 (1.7729)	Prec@1 52.000 (53.040)	Prec@5 80.000 (82.412)
Epoch: [62][5420/9018]	Time 0.729 (0.622)	Data 0.001 (0.003)	Loss 1.7377 (1.7727)	Prec@1 53.500 (53.043)	Prec@5 84.500 (82.415)
Epoch: [62][5430/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.8015 (1.7727)	Prec@1 51.500 (53.042)	Prec@5 83.500 (82.416)
Epoch: [62][5440/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7652 (1.7728)	Prec@1 51.000 (53.042)	Prec@5 81.500 (82.416)
Epoch: [62][5450/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.9068 (1.7728)	Prec@1 50.500 (53.041)	Prec@5 74.000 (82.414)
Epoch: [62][5460/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7418 (1.7729)	Prec@1 52.500 (53.039)	Prec@5 83.000 (82.412)
Epoch: [62][5470/9018]	Time 0.831 (0.622)	Data 0.001 (0.003)	Loss 1.5330 (1.7728)	Prec@1 60.500 (53.041)	Prec@5 88.500 (82.414)
Epoch: [62][5480/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.7073 (1.7728)	Prec@1 51.000 (53.040)	Prec@5 85.500 (82.415)
Epoch: [62][5490/9018]	Time 0.626 (0.622)	Data 0.003 (0.003)	Loss 1.8948 (1.7728)	Prec@1 49.000 (53.040)	Prec@5 79.500 (82.415)
Epoch: [62][5500/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.8430 (1.7727)	Prec@1 51.500 (53.043)	Prec@5 83.000 (82.417)
Epoch: [62][5510/9018]	Time 0.620 (0.622)	Data 0.011 (0.003)	Loss 1.4434 (1.7726)	Prec@1 61.500 (53.045)	Prec@5 88.000 (82.418)
Epoch: [62][5520/9018]	Time 0.612 (0.622)	Data 0.015 (0.003)	Loss 1.7476 (1.7726)	Prec@1 54.000 (53.049)	Prec@5 84.000 (82.419)
Epoch: [62][5530/9018]	Time 0.616 (0.622)	Data 0.015 (0.003)	Loss 1.7377 (1.7726)	Prec@1 54.500 (53.050)	Prec@5 86.000 (82.420)
Epoch: [62][5540/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.8711 (1.7727)	Prec@1 53.500 (53.049)	Prec@5 80.000 (82.416)
Epoch: [62][5550/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.8172 (1.7727)	Prec@1 51.500 (53.049)	Prec@5 80.000 (82.416)
Epoch: [62][5560/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.9944 (1.7728)	Prec@1 48.000 (53.043)	Prec@5 78.000 (82.416)
Epoch: [62][5570/9018]	Time 0.674 (0.622)	Data 0.001 (0.003)	Loss 2.0146 (1.7728)	Prec@1 46.500 (53.044)	Prec@5 81.000 (82.416)
Epoch: [62][5580/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.7396 (1.7729)	Prec@1 51.000 (53.041)	Prec@5 83.500 (82.415)
Epoch: [62][5590/9018]	Time 0.607 (0.622)	Data 0.002 (0.003)	Loss 1.6533 (1.7728)	Prec@1 55.500 (53.044)	Prec@5 83.000 (82.416)
Epoch: [62][5600/9018]	Time 0.623 (0.622)	Data 0.013 (0.003)	Loss 2.0480 (1.7728)	Prec@1 51.000 (53.045)	Prec@5 75.500 (82.414)
Epoch: [62][5610/9018]	Time 0.634 (0.622)	Data 0.013 (0.003)	Loss 1.5317 (1.7727)	Prec@1 58.500 (53.047)	Prec@5 86.500 (82.417)
Epoch: [62][5620/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 2.0490 (1.7728)	Prec@1 48.000 (53.043)	Prec@5 79.000 (82.416)
Epoch: [62][5630/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.8204 (1.7728)	Prec@1 55.000 (53.042)	Prec@5 85.000 (82.416)
Epoch: [62][5640/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.8359 (1.7729)	Prec@1 46.000 (53.040)	Prec@5 86.000 (82.415)
Epoch: [62][5650/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.7660 (1.7729)	Prec@1 54.500 (53.042)	Prec@5 85.500 (82.416)
Epoch: [62][5660/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8881 (1.7729)	Prec@1 54.500 (53.042)	Prec@5 79.000 (82.417)
Epoch: [62][5670/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.6467 (1.7729)	Prec@1 58.000 (53.043)	Prec@5 84.500 (82.418)
Epoch: [62][5680/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.5522 (1.7728)	Prec@1 60.000 (53.044)	Prec@5 84.500 (82.419)
Epoch: [62][5690/9018]	Time 0.611 (0.622)	Data 0.008 (0.003)	Loss 1.7218 (1.7727)	Prec@1 55.500 (53.045)	Prec@5 84.000 (82.422)
Epoch: [62][5700/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.9434 (1.7728)	Prec@1 51.500 (53.042)	Prec@5 81.000 (82.422)
Epoch: [62][5710/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 2.0107 (1.7729)	Prec@1 47.500 (53.041)	Prec@5 79.500 (82.420)
Epoch: [62][5720/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.7607 (1.7729)	Prec@1 51.000 (53.041)	Prec@5 82.000 (82.420)
Epoch: [62][5730/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 2.0645 (1.7731)	Prec@1 48.500 (53.036)	Prec@5 78.500 (82.418)
Epoch: [62][5740/9018]	Time 0.632 (0.622)	Data 0.001 (0.003)	Loss 1.7682 (1.7730)	Prec@1 52.000 (53.038)	Prec@5 81.000 (82.420)
Epoch: [62][5750/9018]	Time 0.803 (0.622)	Data 0.001 (0.003)	Loss 1.7950 (1.7730)	Prec@1 51.000 (53.038)	Prec@5 83.000 (82.421)
Epoch: [62][5760/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.7603 (1.7730)	Prec@1 51.000 (53.040)	Prec@5 84.000 (82.423)
Epoch: [62][5770/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.6885 (1.7730)	Prec@1 56.000 (53.040)	Prec@5 84.000 (82.423)
Epoch: [62][5780/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.9287 (1.7730)	Prec@1 54.000 (53.037)	Prec@5 78.500 (82.423)
Epoch: [62][5790/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.7692 (1.7729)	Prec@1 54.000 (53.039)	Prec@5 83.000 (82.424)
Epoch: [62][5800/9018]	Time 0.749 (0.622)	Data 0.001 (0.003)	Loss 1.7407 (1.7729)	Prec@1 52.500 (53.039)	Prec@5 82.500 (82.424)
Epoch: [62][5810/9018]	Time 0.605 (0.622)	Data 0.005 (0.003)	Loss 1.7978 (1.7729)	Prec@1 54.500 (53.041)	Prec@5 80.000 (82.424)
Epoch: [62][5820/9018]	Time 0.621 (0.622)	Data 0.015 (0.003)	Loss 1.8103 (1.7730)	Prec@1 51.000 (53.037)	Prec@5 79.500 (82.420)
Epoch: [62][5830/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.8524 (1.7730)	Prec@1 49.000 (53.036)	Prec@5 82.500 (82.419)
Epoch: [62][5840/9018]	Time 0.607 (0.622)	Data 0.014 (0.003)	Loss 1.6972 (1.7729)	Prec@1 56.500 (53.038)	Prec@5 82.500 (82.420)
Epoch: [62][5850/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.7787 (1.7730)	Prec@1 51.000 (53.038)	Prec@5 81.500 (82.419)
Epoch: [62][5860/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.9144 (1.7730)	Prec@1 50.000 (53.038)	Prec@5 80.000 (82.418)
Epoch: [62][5870/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7234 (1.7731)	Prec@1 54.000 (53.036)	Prec@5 84.000 (82.418)
Epoch: [62][5880/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.8491 (1.7731)	Prec@1 48.000 (53.035)	Prec@5 82.500 (82.420)
Epoch: [62][5890/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.6064 (1.7731)	Prec@1 58.500 (53.035)	Prec@5 84.500 (82.419)
Epoch: [62][5900/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7331 (1.7731)	Prec@1 53.000 (53.036)	Prec@5 81.500 (82.419)
Epoch: [62][5910/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8277 (1.7731)	Prec@1 52.000 (53.037)	Prec@5 82.000 (82.420)
Epoch: [62][5920/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.7576 (1.7731)	Prec@1 51.000 (53.035)	Prec@5 81.000 (82.421)
Epoch: [62][5930/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.7577 (1.7731)	Prec@1 56.500 (53.035)	Prec@5 82.000 (82.420)
Epoch: [62][5940/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.8014 (1.7731)	Prec@1 54.500 (53.036)	Prec@5 79.000 (82.419)
Epoch: [62][5950/9018]	Time 0.605 (0.622)	Data 0.016 (0.003)	Loss 1.8470 (1.7732)	Prec@1 51.500 (53.037)	Prec@5 79.000 (82.415)
Epoch: [62][5960/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.6949 (1.7732)	Prec@1 49.500 (53.034)	Prec@5 87.500 (82.416)
Epoch: [62][5970/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.6563 (1.7732)	Prec@1 52.500 (53.035)	Prec@5 83.500 (82.417)
Epoch: [62][5980/9018]	Time 0.639 (0.622)	Data 0.015 (0.003)	Loss 1.8849 (1.7732)	Prec@1 54.500 (53.034)	Prec@5 82.000 (82.415)
Epoch: [62][5990/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.9658 (1.7732)	Prec@1 47.000 (53.034)	Prec@5 78.500 (82.414)
Epoch: [62][6000/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.8023 (1.7732)	Prec@1 53.500 (53.033)	Prec@5 81.000 (82.414)
Epoch: [62][6010/9018]	Time 0.601 (0.622)	Data 0.015 (0.003)	Loss 1.5705 (1.7733)	Prec@1 60.500 (53.033)	Prec@5 85.000 (82.413)
Epoch: [62][6020/9018]	Time 0.608 (0.622)	Data 0.002 (0.003)	Loss 1.6712 (1.7731)	Prec@1 56.500 (53.037)	Prec@5 82.000 (82.416)
Epoch: [62][6030/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.9445 (1.7731)	Prec@1 50.000 (53.036)	Prec@5 82.000 (82.417)
Epoch: [62][6040/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.7262 (1.7732)	Prec@1 55.500 (53.035)	Prec@5 81.000 (82.417)
Epoch: [62][6050/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7827 (1.7732)	Prec@1 50.000 (53.033)	Prec@5 84.500 (82.416)
Epoch: [62][6060/9018]	Time 0.614 (0.622)	Data 0.017 (0.003)	Loss 1.7169 (1.7733)	Prec@1 52.500 (53.029)	Prec@5 81.500 (82.415)
Epoch: [62][6070/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.6452 (1.7731)	Prec@1 52.500 (53.033)	Prec@5 85.000 (82.418)
Epoch: [62][6080/9018]	Time 0.722 (0.622)	Data 0.001 (0.003)	Loss 2.1194 (1.7732)	Prec@1 49.000 (53.031)	Prec@5 76.500 (82.418)
Epoch: [62][6090/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.8040 (1.7732)	Prec@1 52.000 (53.027)	Prec@5 82.500 (82.417)
Epoch: [62][6100/9018]	Time 0.607 (0.622)	Data 0.003 (0.003)	Loss 1.8455 (1.7732)	Prec@1 48.500 (53.024)	Prec@5 82.500 (82.419)
Epoch: [62][6110/9018]	Time 0.620 (0.622)	Data 0.013 (0.003)	Loss 1.5101 (1.7732)	Prec@1 57.500 (53.024)	Prec@5 88.500 (82.420)
Epoch: [62][6120/9018]	Time 0.623 (0.622)	Data 0.014 (0.003)	Loss 1.6733 (1.7732)	Prec@1 55.000 (53.024)	Prec@5 84.000 (82.420)
Epoch: [62][6130/9018]	Time 0.796 (0.622)	Data 0.001 (0.003)	Loss 1.6019 (1.7731)	Prec@1 54.000 (53.025)	Prec@5 87.000 (82.421)
Epoch: [62][6140/9018]	Time 0.631 (0.622)	Data 0.008 (0.003)	Loss 1.7130 (1.7730)	Prec@1 57.000 (53.027)	Prec@5 83.500 (82.423)
Epoch: [62][6150/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.4750 (1.7729)	Prec@1 54.500 (53.027)	Prec@5 88.000 (82.425)
Epoch: [62][6160/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8644 (1.7730)	Prec@1 53.000 (53.025)	Prec@5 80.500 (82.424)
Epoch: [62][6170/9018]	Time 0.616 (0.622)	Data 0.016 (0.003)	Loss 1.8626 (1.7730)	Prec@1 48.500 (53.025)	Prec@5 84.000 (82.423)
Epoch: [62][6180/9018]	Time 0.615 (0.622)	Data 0.015 (0.003)	Loss 1.8353 (1.7730)	Prec@1 52.500 (53.025)	Prec@5 81.500 (82.425)
Epoch: [62][6190/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.5573 (1.7729)	Prec@1 57.500 (53.026)	Prec@5 86.000 (82.427)
Epoch: [62][6200/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7869 (1.7729)	Prec@1 55.500 (53.026)	Prec@5 81.500 (82.426)
Epoch: [62][6210/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 2.1014 (1.7730)	Prec@1 48.000 (53.027)	Prec@5 76.000 (82.426)
Epoch: [62][6220/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.7774 (1.7731)	Prec@1 54.500 (53.025)	Prec@5 82.000 (82.424)
Epoch: [62][6230/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.8591 (1.7731)	Prec@1 48.500 (53.022)	Prec@5 82.000 (82.424)
Epoch: [62][6240/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.8812 (1.7731)	Prec@1 49.000 (53.022)	Prec@5 81.500 (82.424)
Epoch: [62][6250/9018]	Time 0.607 (0.622)	Data 0.007 (0.003)	Loss 1.6913 (1.7731)	Prec@1 55.500 (53.022)	Prec@5 81.000 (82.422)
Epoch: [62][6260/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.7787 (1.7731)	Prec@1 51.500 (53.024)	Prec@5 82.000 (82.423)
Epoch: [62][6270/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.7213 (1.7731)	Prec@1 56.500 (53.025)	Prec@5 81.000 (82.422)
Epoch: [62][6280/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.7574 (1.7731)	Prec@1 53.000 (53.023)	Prec@5 79.500 (82.420)
Epoch: [62][6290/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.6865 (1.7732)	Prec@1 53.500 (53.020)	Prec@5 82.500 (82.418)
Epoch: [62][6300/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.7994 (1.7731)	Prec@1 52.500 (53.020)	Prec@5 83.000 (82.418)
Epoch: [62][6310/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.9384 (1.7732)	Prec@1 52.500 (53.019)	Prec@5 81.000 (82.418)
Epoch: [62][6320/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.7691 (1.7731)	Prec@1 55.500 (53.019)	Prec@5 82.000 (82.419)
Epoch: [62][6330/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 2.0005 (1.7732)	Prec@1 49.000 (53.019)	Prec@5 80.000 (82.419)
Epoch: [62][6340/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.6862 (1.7730)	Prec@1 58.000 (53.022)	Prec@5 85.500 (82.422)
Epoch: [62][6350/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.9211 (1.7730)	Prec@1 51.500 (53.023)	Prec@5 79.500 (82.423)
Epoch: [62][6360/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.8952 (1.7730)	Prec@1 54.500 (53.020)	Prec@5 78.500 (82.422)
Epoch: [62][6370/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.7907 (1.7731)	Prec@1 51.500 (53.018)	Prec@5 80.000 (82.420)
Epoch: [62][6380/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.8117 (1.7730)	Prec@1 53.500 (53.019)	Prec@5 84.000 (82.421)
Epoch: [62][6390/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.7510 (1.7730)	Prec@1 56.000 (53.021)	Prec@5 81.500 (82.420)
Epoch: [62][6400/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.7733 (1.7730)	Prec@1 53.000 (53.021)	Prec@5 81.000 (82.418)
Epoch: [62][6410/9018]	Time 0.720 (0.622)	Data 0.001 (0.003)	Loss 1.6599 (1.7730)	Prec@1 52.000 (53.023)	Prec@5 84.500 (82.420)
Epoch: [62][6420/9018]	Time 0.624 (0.622)	Data 0.007 (0.003)	Loss 1.6731 (1.7729)	Prec@1 52.500 (53.025)	Prec@5 84.000 (82.420)
Epoch: [62][6430/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.7140 (1.7729)	Prec@1 54.500 (53.026)	Prec@5 82.000 (82.422)
Epoch: [62][6440/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.9963 (1.7730)	Prec@1 49.000 (53.023)	Prec@5 78.500 (82.420)
Epoch: [62][6450/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.7408 (1.7730)	Prec@1 56.000 (53.025)	Prec@5 84.000 (82.420)
Epoch: [62][6460/9018]	Time 0.745 (0.622)	Data 0.001 (0.003)	Loss 1.5929 (1.7729)	Prec@1 56.000 (53.025)	Prec@5 87.000 (82.423)
Epoch: [62][6470/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.5461 (1.7727)	Prec@1 59.500 (53.028)	Prec@5 86.500 (82.424)
Epoch: [62][6480/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.6573 (1.7727)	Prec@1 52.500 (53.026)	Prec@5 85.000 (82.424)
Epoch: [62][6490/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7611 (1.7727)	Prec@1 54.000 (53.026)	Prec@5 81.500 (82.423)
Epoch: [62][6500/9018]	Time 0.644 (0.622)	Data 0.001 (0.003)	Loss 1.6906 (1.7727)	Prec@1 56.000 (53.026)	Prec@5 82.500 (82.422)
Epoch: [62][6510/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7817 (1.7728)	Prec@1 53.000 (53.023)	Prec@5 79.500 (82.422)
Epoch: [62][6520/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.6092 (1.7729)	Prec@1 59.500 (53.025)	Prec@5 82.000 (82.421)
Epoch: [62][6530/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.9312 (1.7730)	Prec@1 46.500 (53.023)	Prec@5 80.500 (82.418)
Epoch: [62][6540/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7861 (1.7729)	Prec@1 54.500 (53.025)	Prec@5 82.000 (82.419)
Epoch: [62][6550/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7089 (1.7729)	Prec@1 54.500 (53.024)	Prec@5 83.500 (82.419)
Epoch: [62][6560/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.7366 (1.7728)	Prec@1 57.000 (53.025)	Prec@5 81.000 (82.419)
Epoch: [62][6570/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.7739 (1.7729)	Prec@1 50.000 (53.023)	Prec@5 81.500 (82.420)
Epoch: [62][6580/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7540 (1.7729)	Prec@1 55.000 (53.024)	Prec@5 82.000 (82.419)
Epoch: [62][6590/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.4469 (1.7728)	Prec@1 57.500 (53.026)	Prec@5 89.000 (82.419)
Epoch: [62][6600/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.8099 (1.7729)	Prec@1 51.500 (53.027)	Prec@5 78.000 (82.419)
Epoch: [62][6610/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.7356 (1.7728)	Prec@1 51.000 (53.027)	Prec@5 82.500 (82.420)
Epoch: [62][6620/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.7596 (1.7728)	Prec@1 57.000 (53.030)	Prec@5 84.500 (82.422)
Epoch: [62][6630/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7606 (1.7727)	Prec@1 56.500 (53.032)	Prec@5 81.000 (82.423)
Epoch: [62][6640/9018]	Time 0.620 (0.622)	Data 0.016 (0.003)	Loss 1.6113 (1.7727)	Prec@1 57.000 (53.034)	Prec@5 81.500 (82.424)
Epoch: [62][6650/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.6754 (1.7726)	Prec@1 55.500 (53.036)	Prec@5 83.000 (82.426)
Epoch: [62][6660/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.6765 (1.7726)	Prec@1 55.000 (53.036)	Prec@5 85.500 (82.424)
Epoch: [62][6670/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.7389 (1.7726)	Prec@1 52.500 (53.035)	Prec@5 83.000 (82.425)
Epoch: [62][6680/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.2469 (1.7725)	Prec@1 69.500 (53.037)	Prec@5 91.000 (82.425)
Epoch: [62][6690/9018]	Time 0.616 (0.622)	Data 0.008 (0.003)	Loss 1.7960 (1.7726)	Prec@1 52.500 (53.036)	Prec@5 82.500 (82.425)
Epoch: [62][6700/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.5938 (1.7725)	Prec@1 58.000 (53.035)	Prec@5 84.500 (82.426)
Epoch: [62][6710/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 2.0506 (1.7726)	Prec@1 49.500 (53.034)	Prec@5 78.500 (82.424)
Epoch: [62][6720/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.6843 (1.7725)	Prec@1 58.500 (53.037)	Prec@5 82.500 (82.425)
Epoch: [62][6730/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.6280 (1.7725)	Prec@1 57.500 (53.038)	Prec@5 83.000 (82.426)
Epoch: [62][6740/9018]	Time 0.732 (0.622)	Data 0.001 (0.003)	Loss 1.7288 (1.7725)	Prec@1 52.000 (53.037)	Prec@5 82.000 (82.424)
Epoch: [62][6750/9018]	Time 0.636 (0.622)	Data 0.001 (0.003)	Loss 1.6766 (1.7725)	Prec@1 53.000 (53.037)	Prec@5 84.000 (82.424)
Epoch: [62][6760/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.8245 (1.7725)	Prec@1 54.000 (53.035)	Prec@5 80.500 (82.423)
Epoch: [62][6770/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.9178 (1.7726)	Prec@1 47.500 (53.035)	Prec@5 76.500 (82.423)
Epoch: [62][6780/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8379 (1.7727)	Prec@1 56.500 (53.033)	Prec@5 85.000 (82.422)
Epoch: [62][6790/9018]	Time 0.759 (0.622)	Data 0.001 (0.003)	Loss 1.8106 (1.7728)	Prec@1 53.500 (53.031)	Prec@5 83.000 (82.421)
Epoch: [62][6800/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.5142 (1.7727)	Prec@1 56.000 (53.034)	Prec@5 85.000 (82.423)
Epoch: [62][6810/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6706 (1.7727)	Prec@1 55.000 (53.033)	Prec@5 83.000 (82.423)
Epoch: [62][6820/9018]	Time 0.588 (0.622)	Data 0.001 (0.003)	Loss 1.7362 (1.7726)	Prec@1 53.500 (53.034)	Prec@5 82.000 (82.425)
Epoch: [62][6830/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.8215 (1.7726)	Prec@1 49.500 (53.033)	Prec@5 82.500 (82.425)
Epoch: [62][6840/9018]	Time 0.606 (0.622)	Data 0.010 (0.003)	Loss 1.8776 (1.7726)	Prec@1 50.500 (53.032)	Prec@5 82.000 (82.426)
Epoch: [62][6850/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.8009 (1.7726)	Prec@1 49.500 (53.029)	Prec@5 80.000 (82.426)
Epoch: [62][6860/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.7104 (1.7726)	Prec@1 59.000 (53.029)	Prec@5 79.500 (82.425)
Epoch: [62][6870/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.5919 (1.7726)	Prec@1 56.000 (53.030)	Prec@5 86.500 (82.425)
Epoch: [62][6880/9018]	Time 0.638 (0.622)	Data 0.001 (0.003)	Loss 1.6270 (1.7725)	Prec@1 55.500 (53.030)	Prec@5 86.000 (82.427)
Epoch: [62][6890/9018]	Time 0.654 (0.622)	Data 0.001 (0.003)	Loss 1.6797 (1.7725)	Prec@1 54.500 (53.029)	Prec@5 85.000 (82.426)
Epoch: [62][6900/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7873 (1.7725)	Prec@1 50.000 (53.029)	Prec@5 85.500 (82.427)
Epoch: [62][6910/9018]	Time 0.614 (0.622)	Data 0.015 (0.003)	Loss 1.7047 (1.7726)	Prec@1 53.000 (53.028)	Prec@5 83.500 (82.425)
Epoch: [62][6920/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.6510 (1.7725)	Prec@1 53.500 (53.030)	Prec@5 84.000 (82.428)
Epoch: [62][6930/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.8178 (1.7725)	Prec@1 49.500 (53.033)	Prec@5 84.500 (82.427)
Epoch: [62][6940/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.7492 (1.7725)	Prec@1 51.000 (53.032)	Prec@5 81.500 (82.427)
Epoch: [62][6950/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.9176 (1.7726)	Prec@1 53.500 (53.031)	Prec@5 80.500 (82.426)
Epoch: [62][6960/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.7348 (1.7724)	Prec@1 50.000 (53.034)	Prec@5 86.500 (82.428)
Epoch: [62][6970/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.7231 (1.7724)	Prec@1 55.500 (53.035)	Prec@5 84.000 (82.429)
Epoch: [62][6980/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.8091 (1.7725)	Prec@1 49.500 (53.032)	Prec@5 80.500 (82.428)
Epoch: [62][6990/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.7334 (1.7724)	Prec@1 56.000 (53.033)	Prec@5 79.500 (82.428)
Epoch: [62][7000/9018]	Time 0.613 (0.622)	Data 0.009 (0.003)	Loss 1.8409 (1.7724)	Prec@1 49.000 (53.034)	Prec@5 79.500 (82.430)
Epoch: [62][7010/9018]	Time 0.628 (0.622)	Data 0.004 (0.003)	Loss 1.8376 (1.7724)	Prec@1 50.000 (53.034)	Prec@5 78.500 (82.429)
Epoch: [62][7020/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.7353 (1.7723)	Prec@1 52.500 (53.037)	Prec@5 81.000 (82.430)
Epoch: [62][7030/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.9002 (1.7723)	Prec@1 49.500 (53.038)	Prec@5 81.500 (82.431)
Epoch: [62][7040/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.7879 (1.7723)	Prec@1 52.000 (53.036)	Prec@5 84.000 (82.431)
Epoch: [62][7050/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.7912 (1.7723)	Prec@1 52.500 (53.036)	Prec@5 86.000 (82.433)
Epoch: [62][7060/9018]	Time 0.605 (0.622)	Data 0.017 (0.003)	Loss 1.7050 (1.7722)	Prec@1 56.000 (53.037)	Prec@5 83.000 (82.435)
Epoch: [62][7070/9018]	Time 0.785 (0.622)	Data 0.001 (0.003)	Loss 1.5544 (1.7721)	Prec@1 60.500 (53.041)	Prec@5 87.500 (82.436)
Epoch: [62][7080/9018]	Time 0.637 (0.622)	Data 0.001 (0.003)	Loss 1.7411 (1.7722)	Prec@1 55.000 (53.039)	Prec@5 83.000 (82.435)
Epoch: [62][7090/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.8723 (1.7722)	Prec@1 53.500 (53.039)	Prec@5 80.000 (82.433)
Epoch: [62][7100/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.6812 (1.7722)	Prec@1 53.500 (53.042)	Prec@5 84.500 (82.434)
Epoch: [62][7110/9018]	Time 0.615 (0.622)	Data 0.016 (0.003)	Loss 1.9228 (1.7722)	Prec@1 48.500 (53.039)	Prec@5 83.000 (82.433)
Epoch: [62][7120/9018]	Time 0.772 (0.622)	Data 0.001 (0.003)	Loss 1.9635 (1.7723)	Prec@1 54.000 (53.036)	Prec@5 80.000 (82.431)
Epoch: [62][7130/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.7582 (1.7723)	Prec@1 53.500 (53.037)	Prec@5 79.500 (82.431)
Epoch: [62][7140/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.6727 (1.7723)	Prec@1 53.000 (53.036)	Prec@5 82.000 (82.430)
Epoch: [62][7150/9018]	Time 0.630 (0.622)	Data 0.016 (0.003)	Loss 1.9875 (1.7723)	Prec@1 55.500 (53.039)	Prec@5 79.500 (82.431)
Epoch: [62][7160/9018]	Time 0.610 (0.622)	Data 0.009 (0.003)	Loss 1.8385 (1.7724)	Prec@1 49.500 (53.037)	Prec@5 80.500 (82.428)
Epoch: [62][7170/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.7841 (1.7723)	Prec@1 52.000 (53.039)	Prec@5 82.500 (82.430)
Epoch: [62][7180/9018]	Time 0.604 (0.622)	Data 0.004 (0.003)	Loss 1.7850 (1.7723)	Prec@1 54.500 (53.039)	Prec@5 84.000 (82.429)
Epoch: [62][7190/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.8765 (1.7722)	Prec@1 52.000 (53.041)	Prec@5 83.000 (82.432)
Epoch: [62][7200/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.8920 (1.7722)	Prec@1 53.500 (53.043)	Prec@5 82.500 (82.433)
Epoch: [62][7210/9018]	Time 0.624 (0.622)	Data 0.007 (0.003)	Loss 1.8193 (1.7721)	Prec@1 52.500 (53.043)	Prec@5 81.500 (82.435)
Epoch: [62][7220/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.7869 (1.7721)	Prec@1 53.000 (53.042)	Prec@5 83.500 (82.434)
Epoch: [62][7230/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 2.1066 (1.7721)	Prec@1 47.500 (53.043)	Prec@5 75.000 (82.435)
Epoch: [62][7240/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.7376 (1.7722)	Prec@1 52.500 (53.042)	Prec@5 83.000 (82.434)
Epoch: [62][7250/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.5713 (1.7721)	Prec@1 59.000 (53.044)	Prec@5 83.500 (82.434)
Epoch: [62][7260/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7747 (1.7721)	Prec@1 54.500 (53.045)	Prec@5 85.000 (82.435)
Epoch: [62][7270/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8336 (1.7721)	Prec@1 52.000 (53.045)	Prec@5 87.000 (82.435)
Epoch: [62][7280/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.7898 (1.7721)	Prec@1 55.000 (53.045)	Prec@5 79.500 (82.434)
Epoch: [62][7290/9018]	Time 0.623 (0.622)	Data 0.013 (0.003)	Loss 1.5749 (1.7721)	Prec@1 56.500 (53.045)	Prec@5 86.000 (82.434)
Epoch: [62][7300/9018]	Time 0.631 (0.622)	Data 0.003 (0.003)	Loss 1.7507 (1.7721)	Prec@1 53.500 (53.046)	Prec@5 82.000 (82.433)
Epoch: [62][7310/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.7231 (1.7721)	Prec@1 50.500 (53.045)	Prec@5 81.500 (82.433)
Epoch: [62][7320/9018]	Time 0.663 (0.622)	Data 0.003 (0.003)	Loss 1.4623 (1.7721)	Prec@1 60.500 (53.046)	Prec@5 85.000 (82.433)
Epoch: [62][7330/9018]	Time 0.624 (0.622)	Data 0.015 (0.003)	Loss 1.8267 (1.7720)	Prec@1 51.500 (53.047)	Prec@5 84.000 (82.434)
Epoch: [62][7340/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 2.0307 (1.7722)	Prec@1 47.500 (53.043)	Prec@5 79.000 (82.431)
Epoch: [62][7350/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.7178 (1.7721)	Prec@1 53.500 (53.045)	Prec@5 83.000 (82.432)
Epoch: [62][7360/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.8278 (1.7721)	Prec@1 57.000 (53.044)	Prec@5 82.500 (82.432)
Epoch: [62][7370/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.8430 (1.7721)	Prec@1 53.000 (53.044)	Prec@5 82.000 (82.431)
Epoch: [62][7380/9018]	Time 0.606 (0.622)	Data 0.014 (0.003)	Loss 1.9759 (1.7721)	Prec@1 47.500 (53.045)	Prec@5 80.000 (82.431)
Epoch: [62][7390/9018]	Time 0.657 (0.622)	Data 0.001 (0.003)	Loss 1.9849 (1.7721)	Prec@1 50.000 (53.047)	Prec@5 77.500 (82.431)
Epoch: [62][7400/9018]	Time 0.761 (0.622)	Data 0.001 (0.003)	Loss 1.9452 (1.7722)	Prec@1 48.500 (53.045)	Prec@5 80.000 (82.430)
Epoch: [62][7410/9018]	Time 0.607 (0.622)	Data 0.014 (0.003)	Loss 1.6477 (1.7722)	Prec@1 58.000 (53.046)	Prec@5 85.500 (82.430)
Epoch: [62][7420/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.8916 (1.7722)	Prec@1 49.500 (53.045)	Prec@5 77.500 (82.429)
Epoch: [62][7430/9018]	Time 0.611 (0.622)	Data 0.015 (0.003)	Loss 2.0196 (1.7722)	Prec@1 48.500 (53.044)	Prec@5 76.000 (82.428)
Epoch: [62][7440/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.7642 (1.7723)	Prec@1 52.000 (53.043)	Prec@5 84.500 (82.426)
Epoch: [62][7450/9018]	Time 0.710 (0.622)	Data 0.001 (0.003)	Loss 1.9171 (1.7723)	Prec@1 50.000 (53.041)	Prec@5 81.000 (82.426)
Epoch: [62][7460/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.9534 (1.7723)	Prec@1 44.500 (53.041)	Prec@5 78.500 (82.426)
Epoch: [62][7470/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7057 (1.7723)	Prec@1 52.000 (53.039)	Prec@5 84.500 (82.425)
Epoch: [62][7480/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.7284 (1.7723)	Prec@1 55.500 (53.040)	Prec@5 83.000 (82.426)
Epoch: [62][7490/9018]	Time 0.601 (0.622)	Data 0.004 (0.003)	Loss 1.7040 (1.7722)	Prec@1 57.000 (53.041)	Prec@5 84.000 (82.427)
Epoch: [62][7500/9018]	Time 0.631 (0.622)	Data 0.014 (0.003)	Loss 1.6071 (1.7722)	Prec@1 55.500 (53.042)	Prec@5 86.000 (82.428)
Epoch: [62][7510/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7128 (1.7723)	Prec@1 56.000 (53.041)	Prec@5 84.500 (82.427)
Epoch: [62][7520/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.7448 (1.7723)	Prec@1 56.000 (53.041)	Prec@5 81.500 (82.426)
Epoch: [62][7530/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.7452 (1.7723)	Prec@1 52.500 (53.042)	Prec@5 83.000 (82.426)
Epoch: [62][7540/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.8946 (1.7722)	Prec@1 51.000 (53.043)	Prec@5 79.000 (82.427)
Epoch: [62][7550/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.7220 (1.7722)	Prec@1 54.000 (53.044)	Prec@5 84.500 (82.428)
Epoch: [62][7560/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.9470 (1.7722)	Prec@1 51.000 (53.043)	Prec@5 81.500 (82.428)
Epoch: [62][7570/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.7069 (1.7723)	Prec@1 53.000 (53.043)	Prec@5 83.500 (82.428)
Epoch: [62][7580/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.5123 (1.7723)	Prec@1 56.500 (53.041)	Prec@5 87.000 (82.429)
Epoch: [62][7590/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.7456 (1.7722)	Prec@1 54.500 (53.043)	Prec@5 82.500 (82.429)
Epoch: [62][7600/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7227 (1.7722)	Prec@1 57.000 (53.046)	Prec@5 82.000 (82.430)
Epoch: [62][7610/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.8304 (1.7721)	Prec@1 49.000 (53.044)	Prec@5 81.500 (82.430)
Epoch: [62][7620/9018]	Time 0.602 (0.622)	Data 0.025 (0.003)	Loss 1.6256 (1.7722)	Prec@1 52.000 (53.043)	Prec@5 88.000 (82.429)
Epoch: [62][7630/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.8944 (1.7722)	Prec@1 49.500 (53.046)	Prec@5 77.000 (82.430)
Epoch: [62][7640/9018]	Time 0.613 (0.622)	Data 0.010 (0.003)	Loss 1.8578 (1.7722)	Prec@1 52.500 (53.047)	Prec@5 81.500 (82.430)
Epoch: [62][7650/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.8455 (1.7721)	Prec@1 51.000 (53.046)	Prec@5 79.000 (82.432)
Epoch: [62][7660/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.8494 (1.7722)	Prec@1 49.500 (53.046)	Prec@5 81.500 (82.431)
Epoch: [62][7670/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.7429 (1.7722)	Prec@1 53.000 (53.046)	Prec@5 81.500 (82.430)
Epoch: [62][7680/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.6262 (1.7721)	Prec@1 54.000 (53.048)	Prec@5 87.500 (82.432)
Epoch: [62][7690/9018]	Time 0.649 (0.622)	Data 0.001 (0.003)	Loss 1.7746 (1.7721)	Prec@1 51.000 (53.046)	Prec@5 80.500 (82.431)
Epoch: [62][7700/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.7888 (1.7721)	Prec@1 53.500 (53.047)	Prec@5 80.500 (82.431)
Epoch: [62][7710/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.8265 (1.7722)	Prec@1 53.000 (53.046)	Prec@5 81.500 (82.430)
Epoch: [62][7720/9018]	Time 0.637 (0.622)	Data 0.004 (0.003)	Loss 1.8229 (1.7721)	Prec@1 49.500 (53.047)	Prec@5 80.000 (82.430)
Epoch: [62][7730/9018]	Time 0.793 (0.622)	Data 0.001 (0.003)	Loss 1.8671 (1.7721)	Prec@1 51.000 (53.046)	Prec@5 79.000 (82.430)
Epoch: [62][7740/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.9602 (1.7721)	Prec@1 47.000 (53.045)	Prec@5 81.000 (82.430)
Epoch: [62][7750/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.7054 (1.7721)	Prec@1 53.000 (53.045)	Prec@5 85.000 (82.432)
Epoch: [62][7760/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7021 (1.7720)	Prec@1 54.500 (53.047)	Prec@5 83.000 (82.434)
Epoch: [62][7770/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.6734 (1.7721)	Prec@1 53.500 (53.046)	Prec@5 86.000 (82.433)
Epoch: [62][7780/9018]	Time 0.771 (0.622)	Data 0.001 (0.003)	Loss 1.8460 (1.7721)	Prec@1 50.000 (53.046)	Prec@5 80.000 (82.433)
Epoch: [62][7790/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.7393 (1.7722)	Prec@1 52.500 (53.045)	Prec@5 85.000 (82.432)
Epoch: [62][7800/9018]	Time 0.635 (0.622)	Data 0.001 (0.003)	Loss 1.5611 (1.7722)	Prec@1 59.000 (53.047)	Prec@5 85.500 (82.431)
Epoch: [62][7810/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.5494 (1.7721)	Prec@1 62.500 (53.048)	Prec@5 86.000 (82.431)
Epoch: [62][7820/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.6229 (1.7721)	Prec@1 59.500 (53.049)	Prec@5 84.000 (82.430)
Epoch: [62][7830/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.4690 (1.7721)	Prec@1 62.000 (53.050)	Prec@5 87.500 (82.431)
Epoch: [62][7840/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.8409 (1.7721)	Prec@1 50.500 (53.051)	Prec@5 82.500 (82.431)
Epoch: [62][7850/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.9224 (1.7720)	Prec@1 48.000 (53.052)	Prec@5 82.500 (82.432)
Epoch: [62][7860/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8841 (1.7720)	Prec@1 56.000 (53.054)	Prec@5 80.000 (82.433)
Epoch: [62][7870/9018]	Time 0.605 (0.622)	Data 0.013 (0.003)	Loss 1.7211 (1.7720)	Prec@1 52.500 (53.053)	Prec@5 81.000 (82.433)
Epoch: [62][7880/9018]	Time 0.606 (0.622)	Data 0.025 (0.003)	Loss 1.6937 (1.7720)	Prec@1 56.000 (53.054)	Prec@5 84.500 (82.433)
Epoch: [62][7890/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7630 (1.7720)	Prec@1 48.500 (53.053)	Prec@5 82.000 (82.433)
Epoch: [62][7900/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.8122 (1.7720)	Prec@1 51.000 (53.053)	Prec@5 80.500 (82.434)
Epoch: [62][7910/9018]	Time 0.626 (0.622)	Data 0.013 (0.003)	Loss 1.8304 (1.7721)	Prec@1 52.000 (53.053)	Prec@5 81.000 (82.434)
Epoch: [62][7920/9018]	Time 0.607 (0.622)	Data 0.008 (0.003)	Loss 1.5600 (1.7721)	Prec@1 60.500 (53.053)	Prec@5 86.500 (82.434)
Epoch: [62][7930/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.8663 (1.7721)	Prec@1 52.000 (53.051)	Prec@5 81.000 (82.434)
Epoch: [62][7940/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.8712 (1.7721)	Prec@1 48.000 (53.049)	Prec@5 84.000 (82.435)
Epoch: [62][7950/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.7557 (1.7721)	Prec@1 53.000 (53.050)	Prec@5 82.000 (82.434)
Epoch: [62][7960/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.9744 (1.7722)	Prec@1 51.000 (53.048)	Prec@5 79.500 (82.432)
Epoch: [62][7970/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.9114 (1.7722)	Prec@1 49.500 (53.049)	Prec@5 78.500 (82.433)
Epoch: [62][7980/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.7607 (1.7722)	Prec@1 52.000 (53.048)	Prec@5 80.000 (82.432)
Epoch: [62][7990/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.6711 (1.7723)	Prec@1 56.500 (53.049)	Prec@5 83.000 (82.430)
Epoch: [62][8000/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.5762 (1.7722)	Prec@1 53.500 (53.050)	Prec@5 86.500 (82.432)
Epoch: [62][8010/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.8963 (1.7722)	Prec@1 51.500 (53.051)	Prec@5 80.000 (82.432)
Epoch: [62][8020/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.9644 (1.7722)	Prec@1 48.000 (53.050)	Prec@5 80.000 (82.433)
Epoch: [62][8030/9018]	Time 0.619 (0.622)	Data 0.005 (0.003)	Loss 1.8589 (1.7722)	Prec@1 53.500 (53.048)	Prec@5 82.500 (82.432)
Epoch: [62][8040/9018]	Time 0.635 (0.622)	Data 0.001 (0.003)	Loss 1.7949 (1.7722)	Prec@1 52.500 (53.048)	Prec@5 83.500 (82.433)
Epoch: [62][8050/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.8654 (1.7722)	Prec@1 50.000 (53.046)	Prec@5 78.000 (82.431)
Epoch: [62][8060/9018]	Time 0.757 (0.622)	Data 0.001 (0.003)	Loss 1.7313 (1.7722)	Prec@1 53.000 (53.046)	Prec@5 83.000 (82.433)
Epoch: [62][8070/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.8318 (1.7722)	Prec@1 56.000 (53.044)	Prec@5 79.500 (82.431)
Epoch: [62][8080/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.8802 (1.7721)	Prec@1 53.000 (53.046)	Prec@5 81.000 (82.433)
Epoch: [62][8090/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.9256 (1.7722)	Prec@1 49.000 (53.045)	Prec@5 78.500 (82.432)
Epoch: [62][8100/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.6004 (1.7721)	Prec@1 53.500 (53.043)	Prec@5 84.500 (82.432)
Epoch: [62][8110/9018]	Time 0.752 (0.622)	Data 0.001 (0.003)	Loss 1.5370 (1.7721)	Prec@1 57.000 (53.043)	Prec@5 88.000 (82.433)
Epoch: [62][8120/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.7750 (1.7721)	Prec@1 55.000 (53.044)	Prec@5 81.000 (82.433)
Epoch: [62][8130/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.8307 (1.7720)	Prec@1 54.000 (53.047)	Prec@5 82.000 (82.434)
Epoch: [62][8140/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 2.0085 (1.7720)	Prec@1 46.500 (53.046)	Prec@5 76.000 (82.433)
Epoch: [62][8150/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.6491 (1.7721)	Prec@1 57.000 (53.045)	Prec@5 82.500 (82.432)
Epoch: [62][8160/9018]	Time 0.633 (0.622)	Data 0.017 (0.003)	Loss 1.9482 (1.7723)	Prec@1 45.000 (53.040)	Prec@5 81.500 (82.429)
Epoch: [62][8170/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.7804 (1.7723)	Prec@1 53.500 (53.039)	Prec@5 79.500 (82.428)
Epoch: [62][8180/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.9724 (1.7723)	Prec@1 47.000 (53.039)	Prec@5 77.000 (82.426)
Epoch: [62][8190/9018]	Time 0.634 (0.622)	Data 0.001 (0.003)	Loss 1.6746 (1.7723)	Prec@1 54.000 (53.041)	Prec@5 84.500 (82.426)
Epoch: [62][8200/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.6689 (1.7723)	Prec@1 56.500 (53.043)	Prec@5 84.000 (82.427)
Epoch: [62][8210/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.7003 (1.7723)	Prec@1 49.500 (53.043)	Prec@5 81.500 (82.427)
Epoch: [62][8220/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.9581 (1.7723)	Prec@1 47.000 (53.041)	Prec@5 80.000 (82.426)
Epoch: [62][8230/9018]	Time 0.599 (0.622)	Data 0.003 (0.003)	Loss 1.6802 (1.7723)	Prec@1 54.000 (53.041)	Prec@5 82.000 (82.425)
Epoch: [62][8240/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6063 (1.7723)	Prec@1 56.500 (53.040)	Prec@5 85.500 (82.425)
Epoch: [62][8250/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.7917 (1.7723)	Prec@1 54.000 (53.041)	Prec@5 82.000 (82.427)
Epoch: [62][8260/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.7995 (1.7723)	Prec@1 50.500 (53.042)	Prec@5 83.500 (82.428)
Epoch: [62][8270/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.7986 (1.7723)	Prec@1 54.000 (53.042)	Prec@5 81.000 (82.427)
Epoch: [62][8280/9018]	Time 0.627 (0.622)	Data 0.013 (0.003)	Loss 1.5166 (1.7723)	Prec@1 57.500 (53.043)	Prec@5 85.500 (82.428)
Epoch: [62][8290/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.6733 (1.7722)	Prec@1 58.500 (53.046)	Prec@5 86.000 (82.429)
Epoch: [62][8300/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 2.0231 (1.7722)	Prec@1 46.000 (53.047)	Prec@5 78.500 (82.428)
Epoch: [62][8310/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7836 (1.7722)	Prec@1 56.500 (53.048)	Prec@5 82.500 (82.429)
Epoch: [62][8320/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.6213 (1.7722)	Prec@1 53.500 (53.046)	Prec@5 86.000 (82.428)
Epoch: [62][8330/9018]	Time 0.608 (0.622)	Data 0.007 (0.003)	Loss 1.7820 (1.7722)	Prec@1 51.000 (53.047)	Prec@5 79.500 (82.429)
Epoch: [62][8340/9018]	Time 0.608 (0.622)	Data 0.017 (0.003)	Loss 1.6567 (1.7722)	Prec@1 58.500 (53.048)	Prec@5 84.000 (82.428)
Epoch: [62][8350/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.6226 (1.7721)	Prec@1 57.000 (53.049)	Prec@5 86.500 (82.428)
Epoch: [62][8360/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.9188 (1.7722)	Prec@1 45.500 (53.048)	Prec@5 79.000 (82.428)
Epoch: [62][8370/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.8622 (1.7721)	Prec@1 48.500 (53.049)	Prec@5 81.500 (82.429)
Epoch: [62][8380/9018]	Time 0.623 (0.622)	Data 0.017 (0.003)	Loss 1.3902 (1.7721)	Prec@1 62.500 (53.052)	Prec@5 90.500 (82.431)
Epoch: [62][8390/9018]	Time 0.718 (0.622)	Data 0.001 (0.003)	Loss 1.6887 (1.7721)	Prec@1 51.500 (53.051)	Prec@5 86.000 (82.431)
Epoch: [62][8400/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.6138 (1.7721)	Prec@1 55.000 (53.050)	Prec@5 85.000 (82.431)
Epoch: [62][8410/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.9825 (1.7721)	Prec@1 52.500 (53.048)	Prec@5 79.000 (82.430)
Epoch: [62][8420/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.7327 (1.7721)	Prec@1 51.000 (53.048)	Prec@5 81.500 (82.431)
Epoch: [62][8430/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.6910 (1.7720)	Prec@1 52.000 (53.049)	Prec@5 85.000 (82.432)
Epoch: [62][8440/9018]	Time 0.755 (0.622)	Data 0.001 (0.003)	Loss 1.9101 (1.7721)	Prec@1 50.000 (53.047)	Prec@5 81.500 (82.430)
Epoch: [62][8450/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.5587 (1.7720)	Prec@1 56.000 (53.049)	Prec@5 85.000 (82.432)
Epoch: [62][8460/9018]	Time 0.596 (0.622)	Data 0.022 (0.003)	Loss 1.7590 (1.7720)	Prec@1 56.000 (53.049)	Prec@5 82.000 (82.432)
Epoch: [62][8470/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.5902 (1.7720)	Prec@1 55.000 (53.050)	Prec@5 85.500 (82.432)
Epoch: [62][8480/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.8310 (1.7720)	Prec@1 57.000 (53.051)	Prec@5 81.000 (82.433)
Epoch: [62][8490/9018]	Time 0.597 (0.622)	Data 0.013 (0.003)	Loss 1.7067 (1.7719)	Prec@1 55.500 (53.051)	Prec@5 81.500 (82.433)
Epoch: [62][8500/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.6734 (1.7719)	Prec@1 54.000 (53.054)	Prec@5 84.000 (82.433)
Epoch: [62][8510/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.7098 (1.7719)	Prec@1 51.000 (53.054)	Prec@5 84.000 (82.432)
Epoch: [62][8520/9018]	Time 0.617 (0.622)	Data 0.015 (0.003)	Loss 1.8080 (1.7720)	Prec@1 50.000 (53.053)	Prec@5 81.000 (82.431)
Epoch: [62][8530/9018]	Time 0.645 (0.622)	Data 0.001 (0.003)	Loss 1.6980 (1.7719)	Prec@1 56.000 (53.055)	Prec@5 83.000 (82.433)
Epoch: [62][8540/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.8358 (1.7718)	Prec@1 53.500 (53.055)	Prec@5 81.000 (82.434)
Epoch: [62][8550/9018]	Time 0.603 (0.622)	Data 0.013 (0.003)	Loss 1.7114 (1.7718)	Prec@1 60.500 (53.056)	Prec@5 85.000 (82.435)
Epoch: [62][8560/9018]	Time 0.595 (0.622)	Data 0.010 (0.003)	Loss 1.6461 (1.7717)	Prec@1 55.500 (53.057)	Prec@5 85.000 (82.436)
Epoch: [62][8570/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.5678 (1.7718)	Prec@1 59.000 (53.057)	Prec@5 84.000 (82.434)
Epoch: [62][8580/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.6136 (1.7718)	Prec@1 58.000 (53.056)	Prec@5 84.000 (82.435)
Epoch: [62][8590/9018]	Time 0.639 (0.622)	Data 0.001 (0.003)	Loss 1.6780 (1.7718)	Prec@1 56.000 (53.056)	Prec@5 82.000 (82.434)
Epoch: [62][8600/9018]	Time 0.630 (0.622)	Data 0.016 (0.003)	Loss 1.8755 (1.7718)	Prec@1 51.000 (53.056)	Prec@5 84.000 (82.435)
Epoch: [62][8610/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.8141 (1.7718)	Prec@1 50.500 (53.056)	Prec@5 81.500 (82.434)
Epoch: [62][8620/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7813 (1.7719)	Prec@1 50.000 (53.054)	Prec@5 80.000 (82.433)
Epoch: [62][8630/9018]	Time 0.612 (0.622)	Data 0.016 (0.003)	Loss 1.6631 (1.7718)	Prec@1 55.500 (53.055)	Prec@5 83.500 (82.434)
Epoch: [62][8640/9018]	Time 0.603 (0.622)	Data 0.006 (0.003)	Loss 1.7099 (1.7718)	Prec@1 52.500 (53.057)	Prec@5 83.500 (82.434)
Epoch: [62][8650/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.8924 (1.7718)	Prec@1 46.000 (53.056)	Prec@5 82.000 (82.434)
Epoch: [62][8660/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.7805 (1.7717)	Prec@1 53.500 (53.059)	Prec@5 82.000 (82.435)
Epoch: [62][8670/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.6443 (1.7718)	Prec@1 53.000 (53.057)	Prec@5 83.000 (82.433)
Epoch: [62][8680/9018]	Time 0.654 (0.622)	Data 0.001 (0.003)	Loss 1.7310 (1.7718)	Prec@1 53.500 (53.056)	Prec@5 80.500 (82.434)
Epoch: [62][8690/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.8235 (1.7718)	Prec@1 52.500 (53.058)	Prec@5 82.000 (82.435)
Epoch: [62][8700/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.8447 (1.7718)	Prec@1 50.500 (53.059)	Prec@5 79.000 (82.434)
Epoch: [62][8710/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.8018 (1.7717)	Prec@1 50.500 (53.057)	Prec@5 83.000 (82.435)
Epoch: [62][8720/9018]	Time 0.781 (0.622)	Data 0.001 (0.003)	Loss 1.5533 (1.7717)	Prec@1 59.500 (53.059)	Prec@5 85.000 (82.435)
Epoch: [62][8730/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7038 (1.7717)	Prec@1 55.000 (53.060)	Prec@5 85.000 (82.435)
Epoch: [62][8740/9018]	Time 0.589 (0.622)	Data 0.001 (0.003)	Loss 1.6593 (1.7717)	Prec@1 50.500 (53.057)	Prec@5 84.500 (82.434)
Epoch: [62][8750/9018]	Time 0.599 (0.622)	Data 0.002 (0.003)	Loss 1.8647 (1.7717)	Prec@1 50.500 (53.057)	Prec@5 80.500 (82.434)
Epoch: [62][8760/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.7357 (1.7717)	Prec@1 57.500 (53.058)	Prec@5 83.000 (82.433)
Epoch: [62][8770/9018]	Time 0.717 (0.622)	Data 0.001 (0.003)	Loss 1.9384 (1.7717)	Prec@1 47.500 (53.058)	Prec@5 79.000 (82.432)
Epoch: [62][8780/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.6984 (1.7718)	Prec@1 54.500 (53.058)	Prec@5 82.500 (82.431)
Epoch: [62][8790/9018]	Time 0.632 (0.622)	Data 0.001 (0.003)	Loss 1.6732 (1.7718)	Prec@1 53.500 (53.057)	Prec@5 83.000 (82.430)
Epoch: [62][8800/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.8812 (1.7718)	Prec@1 50.000 (53.056)	Prec@5 78.000 (82.429)
Epoch: [62][8810/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 2.0595 (1.7719)	Prec@1 43.000 (53.054)	Prec@5 77.000 (82.428)
Epoch: [62][8820/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7288 (1.7719)	Prec@1 52.000 (53.054)	Prec@5 83.000 (82.428)
Epoch: [62][8830/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.6793 (1.7719)	Prec@1 54.000 (53.054)	Prec@5 83.000 (82.427)
Epoch: [62][8840/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.4910 (1.7718)	Prec@1 57.000 (53.053)	Prec@5 90.000 (82.428)
Epoch: [62][8850/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7495 (1.7718)	Prec@1 53.000 (53.053)	Prec@5 82.000 (82.428)
Epoch: [62][8860/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.8813 (1.7718)	Prec@1 49.500 (53.052)	Prec@5 78.500 (82.429)
Epoch: [62][8870/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 2.0107 (1.7718)	Prec@1 44.500 (53.052)	Prec@5 77.500 (82.428)
Epoch: [62][8880/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.6793 (1.7718)	Prec@1 60.500 (53.053)	Prec@5 82.500 (82.428)
Epoch: [62][8890/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.8931 (1.7718)	Prec@1 53.500 (53.051)	Prec@5 82.500 (82.427)
Epoch: [62][8900/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.6379 (1.7718)	Prec@1 56.500 (53.052)	Prec@5 84.500 (82.427)
Epoch: [62][8910/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.9704 (1.7718)	Prec@1 52.000 (53.053)	Prec@5 81.500 (82.428)
Epoch: [62][8920/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7338 (1.7718)	Prec@1 55.500 (53.052)	Prec@5 85.500 (82.428)
Epoch: [62][8930/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.6223 (1.7717)	Prec@1 54.000 (53.053)	Prec@5 86.000 (82.429)
Epoch: [62][8940/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 2.0739 (1.7717)	Prec@1 48.500 (53.052)	Prec@5 80.500 (82.429)
Epoch: [62][8950/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.9028 (1.7717)	Prec@1 50.000 (53.052)	Prec@5 83.500 (82.429)
Epoch: [62][8960/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.5128 (1.7718)	Prec@1 56.500 (53.053)	Prec@5 84.000 (82.428)
Epoch: [62][8970/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.7110 (1.7717)	Prec@1 53.000 (53.054)	Prec@5 84.500 (82.429)
Epoch: [62][8980/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8857 (1.7717)	Prec@1 50.500 (53.054)	Prec@5 81.500 (82.430)
Epoch: [62][8990/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 2.0591 (1.7717)	Prec@1 46.000 (53.054)	Prec@5 76.500 (82.430)
Epoch: [62][9000/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.7602 (1.7717)	Prec@1 53.500 (53.054)	Prec@5 83.000 (82.431)
Epoch: [62][9010/9018]	Time 0.613 (0.622)	Data 0.000 (0.003)	Loss 1.6026 (1.7717)	Prec@1 58.000 (53.053)	Prec@5 86.500 (82.432)
Test: [0/183]	Time 1.410 (1.410)	Loss 2.3857 (2.3857)	Prec@1 36.500 (36.500)	Prec@5 72.500 (72.500)
Test: [10/183]	Time 0.184 (0.314)	Loss 1.5733 (1.6297)	Prec@1 62.000 (57.545)	Prec@5 85.000 (86.182)
Test: [20/183]	Time 0.212 (0.270)	Loss 1.9839 (1.5885)	Prec@1 50.500 (57.690)	Prec@5 82.000 (86.214)
Test: [30/183]	Time 0.213 (0.251)	Loss 2.2526 (1.5929)	Prec@1 31.000 (56.419)	Prec@5 77.500 (86.387)
Test: [40/183]	Time 0.204 (0.241)	Loss 2.1590 (1.5920)	Prec@1 39.500 (56.890)	Prec@5 83.000 (86.012)
Test: [50/183]	Time 0.219 (0.236)	Loss 1.4516 (1.5669)	Prec@1 59.500 (57.402)	Prec@5 88.000 (86.265)
Test: [60/183]	Time 0.216 (0.230)	Loss 2.0376 (1.6352)	Prec@1 48.500 (55.352)	Prec@5 79.000 (85.549)
Test: [70/183]	Time 0.205 (0.228)	Loss 1.5887 (1.6220)	Prec@1 55.500 (55.577)	Prec@5 85.500 (85.831)
Test: [80/183]	Time 0.204 (0.226)	Loss 1.3670 (1.6090)	Prec@1 55.500 (55.648)	Prec@5 92.500 (85.969)
Test: [90/183]	Time 0.214 (0.224)	Loss 2.2123 (1.6072)	Prec@1 39.000 (55.703)	Prec@5 73.500 (85.896)
Test: [100/183]	Time 0.213 (0.222)	Loss 0.7418 (1.6089)	Prec@1 75.000 (55.644)	Prec@5 96.000 (85.881)
Test: [110/183]	Time 0.213 (0.221)	Loss 0.6589 (1.6135)	Prec@1 83.000 (55.577)	Prec@5 97.000 (85.757)
Test: [120/183]	Time 0.211 (0.220)	Loss 2.0475 (1.6186)	Prec@1 46.000 (55.380)	Prec@5 74.000 (85.707)
Test: [130/183]	Time 0.186 (0.218)	Loss 2.8888 (1.6278)	Prec@1 22.500 (55.122)	Prec@5 74.500 (85.779)
Test: [140/183]	Time 0.186 (0.217)	Loss 1.4674 (1.6184)	Prec@1 62.000 (55.376)	Prec@5 89.000 (85.954)
Test: [150/183]	Time 0.196 (0.217)	Loss 0.6079 (1.6157)	Prec@1 81.500 (55.530)	Prec@5 98.500 (85.970)
Test: [160/183]	Time 0.186 (0.216)	Loss 1.6347 (1.6114)	Prec@1 51.500 (55.742)	Prec@5 84.000 (86.028)
Test: [170/183]	Time 0.203 (0.216)	Loss 2.0143 (1.6270)	Prec@1 36.000 (55.284)	Prec@5 84.000 (85.825)
Test: [180/183]	Time 0.195 (0.215)	Loss 1.9206 (1.6338)	Prec@1 47.000 (55.227)	Prec@5 83.000 (85.688)
 * Prec@1 55.214 Prec@5 85.674
Epoch: [63][0/9018]	Time 3.390 (3.390)	Data 2.712 (2.712)	Loss 1.9092 (1.9092)	Prec@1 50.500 (50.500)	Prec@5 80.000 (80.000)
Epoch: [63][10/9018]	Time 0.601 (0.856)	Data 0.001 (0.249)	Loss 2.0420 (1.7842)	Prec@1 49.000 (52.636)	Prec@5 77.500 (82.227)
Epoch: [63][20/9018]	Time 0.593 (0.748)	Data 0.001 (0.132)	Loss 1.8677 (1.7720)	Prec@1 50.500 (53.190)	Prec@5 80.500 (82.167)
Epoch: [63][30/9018]	Time 0.593 (0.701)	Data 0.001 (0.090)	Loss 1.6707 (1.7806)	Prec@1 56.500 (52.806)	Prec@5 84.500 (81.935)
Epoch: [63][40/9018]	Time 0.590 (0.682)	Data 0.001 (0.068)	Loss 1.7416 (1.7694)	Prec@1 53.500 (52.988)	Prec@5 83.000 (82.232)
Epoch: [63][50/9018]	Time 0.604 (0.670)	Data 0.001 (0.055)	Loss 1.9250 (1.7735)	Prec@1 55.500 (53.098)	Prec@5 77.500 (82.186)
Epoch: [63][60/9018]	Time 0.593 (0.660)	Data 0.001 (0.047)	Loss 1.8894 (1.7713)	Prec@1 52.500 (52.967)	Prec@5 81.000 (82.328)
Epoch: [63][70/9018]	Time 0.610 (0.655)	Data 0.001 (0.040)	Loss 1.9428 (1.7704)	Prec@1 53.000 (52.937)	Prec@5 79.500 (82.317)
Epoch: [63][80/9018]	Time 0.629 (0.650)	Data 0.001 (0.036)	Loss 1.7538 (1.7750)	Prec@1 56.000 (52.858)	Prec@5 82.000 (82.247)
Epoch: [63][90/9018]	Time 0.624 (0.649)	Data 0.001 (0.032)	Loss 1.7561 (1.7719)	Prec@1 54.000 (52.863)	Prec@5 83.000 (82.368)
Epoch: [63][100/9018]	Time 0.610 (0.646)	Data 0.001 (0.029)	Loss 1.7716 (1.7675)	Prec@1 54.000 (52.965)	Prec@5 79.000 (82.406)
Epoch: [63][110/9018]	Time 0.614 (0.643)	Data 0.001 (0.027)	Loss 1.6928 (1.7670)	Prec@1 57.500 (52.919)	Prec@5 84.500 (82.477)
Epoch: [63][120/9018]	Time 0.628 (0.642)	Data 0.001 (0.025)	Loss 1.7965 (1.7672)	Prec@1 56.000 (52.934)	Prec@5 82.500 (82.459)
Epoch: [63][130/9018]	Time 0.607 (0.640)	Data 0.025 (0.023)	Loss 1.7797 (1.7630)	Prec@1 55.000 (52.992)	Prec@5 82.000 (82.569)
Epoch: [63][140/9018]	Time 0.649 (0.640)	Data 0.016 (0.022)	Loss 1.5814 (1.7641)	Prec@1 59.000 (52.943)	Prec@5 85.500 (82.571)
Epoch: [63][150/9018]	Time 0.607 (0.639)	Data 0.017 (0.021)	Loss 1.8123 (1.7636)	Prec@1 51.000 (52.917)	Prec@5 82.000 (82.543)
Epoch: [63][160/9018]	Time 0.588 (0.637)	Data 0.001 (0.020)	Loss 1.8442 (1.7653)	Prec@1 52.000 (52.891)	Prec@5 79.500 (82.497)
Epoch: [63][170/9018]	Time 0.609 (0.637)	Data 0.001 (0.019)	Loss 1.7628 (1.7651)	Prec@1 55.500 (52.942)	Prec@5 82.000 (82.453)
Epoch: [63][180/9018]	Time 0.758 (0.636)	Data 0.001 (0.018)	Loss 1.7641 (1.7611)	Prec@1 50.000 (53.097)	Prec@5 83.000 (82.533)
Epoch: [63][190/9018]	Time 0.625 (0.635)	Data 0.001 (0.017)	Loss 1.7090 (1.7585)	Prec@1 56.500 (53.181)	Prec@5 82.000 (82.563)
Epoch: [63][200/9018]	Time 0.617 (0.634)	Data 0.001 (0.016)	Loss 1.7103 (1.7555)	Prec@1 57.000 (53.318)	Prec@5 80.500 (82.632)
Epoch: [63][210/9018]	Time 0.638 (0.633)	Data 0.001 (0.016)	Loss 1.8398 (1.7551)	Prec@1 52.500 (53.344)	Prec@5 81.000 (82.633)
Epoch: [63][220/9018]	Time 0.609 (0.633)	Data 0.001 (0.015)	Loss 1.8538 (1.7550)	Prec@1 48.500 (53.326)	Prec@5 81.000 (82.640)
Epoch: [63][230/9018]	Time 0.761 (0.633)	Data 0.014 (0.015)	Loss 1.7030 (1.7570)	Prec@1 55.000 (53.284)	Prec@5 84.000 (82.606)
Epoch: [63][240/9018]	Time 0.614 (0.632)	Data 0.001 (0.014)	Loss 1.6993 (1.7559)	Prec@1 52.500 (53.349)	Prec@5 86.000 (82.616)
Epoch: [63][250/9018]	Time 0.603 (0.632)	Data 0.001 (0.013)	Loss 1.8669 (1.7549)	Prec@1 49.000 (53.369)	Prec@5 80.500 (82.629)
Epoch: [63][260/9018]	Time 0.599 (0.632)	Data 0.001 (0.013)	Loss 1.9567 (1.7578)	Prec@1 48.500 (53.305)	Prec@5 81.000 (82.602)
Epoch: [63][270/9018]	Time 0.596 (0.631)	Data 0.001 (0.013)	Loss 1.8582 (1.7588)	Prec@1 50.000 (53.310)	Prec@5 81.000 (82.583)
Epoch: [63][280/9018]	Time 0.624 (0.631)	Data 0.001 (0.012)	Loss 1.6253 (1.7596)	Prec@1 56.500 (53.327)	Prec@5 84.000 (82.566)
Epoch: [63][290/9018]	Time 0.609 (0.631)	Data 0.001 (0.012)	Loss 1.6440 (1.7580)	Prec@1 55.000 (53.359)	Prec@5 85.500 (82.569)
Epoch: [63][300/9018]	Time 0.624 (0.631)	Data 0.002 (0.012)	Loss 1.7954 (1.7593)	Prec@1 52.000 (53.332)	Prec@5 81.500 (82.528)
Epoch: [63][310/9018]	Time 0.607 (0.630)	Data 0.001 (0.011)	Loss 1.7458 (1.7576)	Prec@1 52.500 (53.328)	Prec@5 83.500 (82.556)
Epoch: [63][320/9018]	Time 0.616 (0.630)	Data 0.001 (0.011)	Loss 1.8885 (1.7564)	Prec@1 49.500 (53.336)	Prec@5 79.000 (82.601)
Epoch: [63][330/9018]	Time 0.627 (0.630)	Data 0.001 (0.011)	Loss 1.5819 (1.7555)	Prec@1 57.500 (53.384)	Prec@5 84.500 (82.594)
Epoch: [63][340/9018]	Time 0.616 (0.630)	Data 0.001 (0.011)	Loss 1.8472 (1.7559)	Prec@1 54.500 (53.397)	Prec@5 80.500 (82.607)
Epoch: [63][350/9018]	Time 0.597 (0.630)	Data 0.001 (0.010)	Loss 1.4924 (1.7580)	Prec@1 57.000 (53.339)	Prec@5 87.000 (82.573)
Epoch: [63][360/9018]	Time 0.608 (0.629)	Data 0.006 (0.010)	Loss 1.5555 (1.7559)	Prec@1 57.000 (53.370)	Prec@5 84.000 (82.601)
Epoch: [63][370/9018]	Time 0.597 (0.629)	Data 0.001 (0.010)	Loss 1.8903 (1.7540)	Prec@1 48.000 (53.389)	Prec@5 76.500 (82.625)
Epoch: [63][380/9018]	Time 0.615 (0.629)	Data 0.001 (0.010)	Loss 1.8055 (1.7541)	Prec@1 50.500 (53.375)	Prec@5 84.500 (82.622)
Epoch: [63][390/9018]	Time 0.592 (0.628)	Data 0.001 (0.010)	Loss 1.6401 (1.7539)	Prec@1 54.500 (53.395)	Prec@5 83.000 (82.605)
Epoch: [63][400/9018]	Time 0.616 (0.628)	Data 0.001 (0.010)	Loss 1.8686 (1.7540)	Prec@1 51.000 (53.408)	Prec@5 81.000 (82.621)
Epoch: [63][410/9018]	Time 0.639 (0.628)	Data 0.001 (0.009)	Loss 2.0147 (1.7554)	Prec@1 50.500 (53.371)	Prec@5 77.000 (82.585)
Epoch: [63][420/9018]	Time 0.630 (0.628)	Data 0.001 (0.009)	Loss 2.0060 (1.7550)	Prec@1 50.000 (53.409)	Prec@5 79.500 (82.596)
Epoch: [63][430/9018]	Time 0.604 (0.628)	Data 0.001 (0.009)	Loss 1.8935 (1.7552)	Prec@1 46.500 (53.375)	Prec@5 79.000 (82.606)
Epoch: [63][440/9018]	Time 0.611 (0.628)	Data 0.003 (0.009)	Loss 1.6851 (1.7554)	Prec@1 56.500 (53.364)	Prec@5 84.500 (82.609)
Epoch: [63][450/9018]	Time 0.627 (0.627)	Data 0.001 (0.009)	Loss 1.9173 (1.7555)	Prec@1 48.500 (53.357)	Prec@5 81.000 (82.610)
Epoch: [63][460/9018]	Time 0.608 (0.627)	Data 0.004 (0.009)	Loss 1.7408 (1.7565)	Prec@1 51.500 (53.323)	Prec@5 84.500 (82.593)
Epoch: [63][470/9018]	Time 0.645 (0.627)	Data 0.011 (0.009)	Loss 1.8778 (1.7559)	Prec@1 50.500 (53.355)	Prec@5 77.000 (82.580)
Epoch: [63][480/9018]	Time 0.596 (0.627)	Data 0.001 (0.008)	Loss 1.8833 (1.7568)	Prec@1 52.500 (53.346)	Prec@5 82.000 (82.579)
Epoch: [63][490/9018]	Time 0.620 (0.627)	Data 0.001 (0.008)	Loss 1.8243 (1.7578)	Prec@1 54.000 (53.325)	Prec@5 84.000 (82.568)
Epoch: [63][500/9018]	Time 0.613 (0.627)	Data 0.017 (0.008)	Loss 1.8029 (1.7573)	Prec@1 49.000 (53.335)	Prec@5 81.000 (82.573)
Epoch: [63][510/9018]	Time 0.719 (0.627)	Data 0.001 (0.008)	Loss 1.6949 (1.7579)	Prec@1 53.500 (53.321)	Prec@5 83.500 (82.564)
Epoch: [63][520/9018]	Time 0.609 (0.626)	Data 0.001 (0.008)	Loss 1.8267 (1.7581)	Prec@1 51.500 (53.311)	Prec@5 86.000 (82.583)
Epoch: [63][530/9018]	Time 0.595 (0.626)	Data 0.012 (0.008)	Loss 1.8087 (1.7575)	Prec@1 52.500 (53.307)	Prec@5 81.000 (82.600)
Epoch: [63][540/9018]	Time 0.620 (0.626)	Data 0.001 (0.008)	Loss 1.7120 (1.7574)	Prec@1 59.000 (53.331)	Prec@5 82.500 (82.598)
Epoch: [63][550/9018]	Time 0.613 (0.626)	Data 0.001 (0.008)	Loss 1.7918 (1.7572)	Prec@1 52.000 (53.342)	Prec@5 82.500 (82.603)
Epoch: [63][560/9018]	Time 0.719 (0.626)	Data 0.001 (0.008)	Loss 1.7202 (1.7575)	Prec@1 52.000 (53.328)	Prec@5 82.000 (82.595)
Epoch: [63][570/9018]	Time 0.599 (0.626)	Data 0.001 (0.008)	Loss 1.7692 (1.7577)	Prec@1 54.500 (53.316)	Prec@5 83.000 (82.603)
Epoch: [63][580/9018]	Time 0.604 (0.626)	Data 0.001 (0.007)	Loss 1.7238 (1.7572)	Prec@1 54.500 (53.349)	Prec@5 83.000 (82.610)
Epoch: [63][590/9018]	Time 0.614 (0.626)	Data 0.014 (0.007)	Loss 1.8394 (1.7574)	Prec@1 51.000 (53.354)	Prec@5 79.500 (82.596)
Epoch: [63][600/9018]	Time 0.616 (0.626)	Data 0.012 (0.007)	Loss 1.6450 (1.7577)	Prec@1 59.000 (53.339)	Prec@5 84.500 (82.590)
Epoch: [63][610/9018]	Time 0.625 (0.625)	Data 0.001 (0.007)	Loss 2.0603 (1.7585)	Prec@1 46.000 (53.337)	Prec@5 78.000 (82.573)
Epoch: [63][620/9018]	Time 0.605 (0.625)	Data 0.001 (0.007)	Loss 1.7728 (1.7582)	Prec@1 49.000 (53.359)	Prec@5 84.500 (82.593)
Epoch: [63][630/9018]	Time 0.605 (0.625)	Data 0.001 (0.007)	Loss 1.6380 (1.7580)	Prec@1 53.500 (53.365)	Prec@5 84.000 (82.592)
Epoch: [63][640/9018]	Time 0.616 (0.625)	Data 0.001 (0.007)	Loss 1.8969 (1.7589)	Prec@1 49.500 (53.333)	Prec@5 81.000 (82.584)
Epoch: [63][650/9018]	Time 0.615 (0.625)	Data 0.001 (0.007)	Loss 1.9827 (1.7583)	Prec@1 50.000 (53.353)	Prec@5 80.000 (82.588)
Epoch: [63][660/9018]	Time 0.634 (0.625)	Data 0.025 (0.007)	Loss 1.5416 (1.7588)	Prec@1 60.500 (53.360)	Prec@5 87.500 (82.572)
Epoch: [63][670/9018]	Time 0.605 (0.625)	Data 0.001 (0.007)	Loss 1.7347 (1.7578)	Prec@1 53.000 (53.379)	Prec@5 81.000 (82.580)
Epoch: [63][680/9018]	Time 0.616 (0.625)	Data 0.001 (0.007)	Loss 1.7697 (1.7581)	Prec@1 54.000 (53.374)	Prec@5 80.000 (82.587)
Epoch: [63][690/9018]	Time 0.633 (0.625)	Data 0.001 (0.007)	Loss 1.7473 (1.7592)	Prec@1 53.500 (53.362)	Prec@5 85.500 (82.574)
Epoch: [63][700/9018]	Time 0.647 (0.625)	Data 0.001 (0.007)	Loss 1.8990 (1.7599)	Prec@1 51.500 (53.355)	Prec@5 80.000 (82.558)
Epoch: [63][710/9018]	Time 0.598 (0.625)	Data 0.001 (0.007)	Loss 1.7837 (1.7603)	Prec@1 56.000 (53.363)	Prec@5 79.500 (82.552)
Epoch: [63][720/9018]	Time 0.595 (0.625)	Data 0.014 (0.007)	Loss 1.7658 (1.7603)	Prec@1 53.000 (53.363)	Prec@5 83.000 (82.554)
Epoch: [63][730/9018]	Time 0.595 (0.625)	Data 0.001 (0.007)	Loss 1.5000 (1.7592)	Prec@1 59.500 (53.406)	Prec@5 87.000 (82.558)
Epoch: [63][740/9018]	Time 0.626 (0.625)	Data 0.027 (0.007)	Loss 1.8704 (1.7588)	Prec@1 50.500 (53.416)	Prec@5 81.000 (82.572)
Epoch: [63][750/9018]	Time 0.617 (0.625)	Data 0.001 (0.007)	Loss 1.8583 (1.7586)	Prec@1 55.000 (53.430)	Prec@5 80.000 (82.579)
Epoch: [63][760/9018]	Time 0.602 (0.625)	Data 0.008 (0.007)	Loss 1.6963 (1.7578)	Prec@1 59.000 (53.462)	Prec@5 84.500 (82.581)
Epoch: [63][770/9018]	Time 0.617 (0.625)	Data 0.002 (0.006)	Loss 1.6679 (1.7583)	Prec@1 56.000 (53.454)	Prec@5 84.000 (82.580)
Epoch: [63][780/9018]	Time 0.603 (0.625)	Data 0.001 (0.006)	Loss 1.6302 (1.7581)	Prec@1 53.500 (53.453)	Prec@5 85.000 (82.584)
Epoch: [63][790/9018]	Time 0.615 (0.625)	Data 0.001 (0.006)	Loss 1.6439 (1.7581)	Prec@1 61.000 (53.474)	Prec@5 83.000 (82.587)
Epoch: [63][800/9018]	Time 0.635 (0.625)	Data 0.001 (0.006)	Loss 2.0715 (1.7582)	Prec@1 41.500 (53.465)	Prec@5 77.500 (82.585)
Epoch: [63][810/9018]	Time 0.634 (0.625)	Data 0.001 (0.006)	Loss 1.7340 (1.7574)	Prec@1 57.500 (53.480)	Prec@5 79.000 (82.586)
Epoch: [63][820/9018]	Time 0.592 (0.625)	Data 0.001 (0.006)	Loss 1.7136 (1.7576)	Prec@1 63.000 (53.476)	Prec@5 81.500 (82.582)
Epoch: [63][830/9018]	Time 0.615 (0.625)	Data 0.001 (0.006)	Loss 1.5601 (1.7571)	Prec@1 59.000 (53.486)	Prec@5 86.000 (82.586)
Epoch: [63][840/9018]	Time 0.763 (0.625)	Data 0.001 (0.006)	Loss 1.7136 (1.7567)	Prec@1 53.500 (53.499)	Prec@5 84.500 (82.590)
Epoch: [63][850/9018]	Time 0.631 (0.625)	Data 0.001 (0.006)	Loss 1.8796 (1.7576)	Prec@1 49.500 (53.479)	Prec@5 81.500 (82.576)
Epoch: [63][860/9018]	Time 0.602 (0.625)	Data 0.001 (0.006)	Loss 1.7662 (1.7567)	Prec@1 58.500 (53.503)	Prec@5 79.500 (82.594)
Epoch: [63][870/9018]	Time 0.617 (0.624)	Data 0.001 (0.006)	Loss 1.6555 (1.7560)	Prec@1 54.500 (53.502)	Prec@5 85.500 (82.609)
Epoch: [63][880/9018]	Time 0.603 (0.625)	Data 0.001 (0.006)	Loss 1.8067 (1.7563)	Prec@1 55.000 (53.503)	Prec@5 80.000 (82.599)
Epoch: [63][890/9018]	Time 0.725 (0.625)	Data 0.001 (0.006)	Loss 2.0149 (1.7565)	Prec@1 50.500 (53.488)	Prec@5 76.000 (82.586)
Epoch: [63][900/9018]	Time 0.602 (0.625)	Data 0.001 (0.006)	Loss 1.8011 (1.7567)	Prec@1 50.500 (53.489)	Prec@5 80.500 (82.577)
Epoch: [63][910/9018]	Time 0.628 (0.625)	Data 0.001 (0.006)	Loss 1.6440 (1.7566)	Prec@1 57.000 (53.507)	Prec@5 85.500 (82.576)
Epoch: [63][920/9018]	Time 0.626 (0.625)	Data 0.001 (0.006)	Loss 1.7980 (1.7577)	Prec@1 52.500 (53.476)	Prec@5 82.500 (82.549)
Epoch: [63][930/9018]	Time 0.599 (0.625)	Data 0.001 (0.006)	Loss 1.9160 (1.7582)	Prec@1 49.500 (53.475)	Prec@5 82.500 (82.531)
Epoch: [63][940/9018]	Time 0.604 (0.625)	Data 0.001 (0.006)	Loss 1.6111 (1.7579)	Prec@1 57.000 (53.484)	Prec@5 84.000 (82.535)
Epoch: [63][950/9018]	Time 0.625 (0.625)	Data 0.001 (0.006)	Loss 1.6214 (1.7574)	Prec@1 55.000 (53.487)	Prec@5 86.000 (82.543)
Epoch: [63][960/9018]	Time 0.619 (0.625)	Data 0.001 (0.006)	Loss 1.6961 (1.7576)	Prec@1 52.000 (53.473)	Prec@5 84.000 (82.538)
Epoch: [63][970/9018]	Time 0.648 (0.625)	Data 0.001 (0.006)	Loss 1.8060 (1.7577)	Prec@1 51.500 (53.468)	Prec@5 81.500 (82.535)
Epoch: [63][980/9018]	Time 0.606 (0.625)	Data 0.001 (0.006)	Loss 1.8044 (1.7575)	Prec@1 55.500 (53.470)	Prec@5 79.500 (82.528)
Epoch: [63][990/9018]	Time 0.637 (0.625)	Data 0.001 (0.006)	Loss 1.6111 (1.7573)	Prec@1 56.500 (53.474)	Prec@5 88.500 (82.530)
Epoch: [63][1000/9018]	Time 0.605 (0.625)	Data 0.001 (0.006)	Loss 1.6284 (1.7574)	Prec@1 55.000 (53.476)	Prec@5 86.500 (82.533)
Epoch: [63][1010/9018]	Time 0.652 (0.625)	Data 0.001 (0.006)	Loss 1.8963 (1.7573)	Prec@1 48.000 (53.473)	Prec@5 78.500 (82.531)
Epoch: [63][1020/9018]	Time 0.621 (0.625)	Data 0.001 (0.006)	Loss 1.8080 (1.7571)	Prec@1 55.500 (53.489)	Prec@5 81.500 (82.524)
Epoch: [63][1030/9018]	Time 0.639 (0.625)	Data 0.016 (0.005)	Loss 1.7875 (1.7568)	Prec@1 52.500 (53.493)	Prec@5 84.500 (82.533)
Epoch: [63][1040/9018]	Time 0.619 (0.625)	Data 0.001 (0.005)	Loss 1.8890 (1.7566)	Prec@1 48.000 (53.508)	Prec@5 79.500 (82.537)
Epoch: [63][1050/9018]	Time 0.631 (0.625)	Data 0.001 (0.005)	Loss 1.8133 (1.7568)	Prec@1 55.000 (53.509)	Prec@5 82.000 (82.538)
Epoch: [63][1060/9018]	Time 0.652 (0.625)	Data 0.001 (0.005)	Loss 1.7502 (1.7556)	Prec@1 53.500 (53.522)	Prec@5 81.000 (82.567)
Epoch: [63][1070/9018]	Time 0.611 (0.625)	Data 0.001 (0.005)	Loss 1.6356 (1.7556)	Prec@1 56.000 (53.516)	Prec@5 83.500 (82.565)
Epoch: [63][1080/9018]	Time 0.608 (0.625)	Data 0.001 (0.005)	Loss 1.9592 (1.7563)	Prec@1 45.500 (53.506)	Prec@5 78.500 (82.555)
Epoch: [63][1090/9018]	Time 0.639 (0.625)	Data 0.001 (0.005)	Loss 1.6613 (1.7564)	Prec@1 54.500 (53.501)	Prec@5 86.500 (82.558)
Epoch: [63][1100/9018]	Time 0.618 (0.625)	Data 0.001 (0.005)	Loss 1.6046 (1.7563)	Prec@1 52.000 (53.491)	Prec@5 87.500 (82.563)
Epoch: [63][1110/9018]	Time 0.605 (0.625)	Data 0.001 (0.005)	Loss 1.6295 (1.7556)	Prec@1 58.500 (53.512)	Prec@5 83.500 (82.578)
Epoch: [63][1120/9018]	Time 0.596 (0.625)	Data 0.001 (0.005)	Loss 1.7612 (1.7560)	Prec@1 50.000 (53.502)	Prec@5 83.500 (82.579)
Epoch: [63][1130/9018]	Time 0.611 (0.625)	Data 0.001 (0.005)	Loss 1.8522 (1.7561)	Prec@1 51.000 (53.492)	Prec@5 83.500 (82.578)
Epoch: [63][1140/9018]	Time 0.597 (0.625)	Data 0.006 (0.005)	Loss 1.7113 (1.7561)	Prec@1 52.000 (53.487)	Prec@5 86.000 (82.588)
Epoch: [63][1150/9018]	Time 0.619 (0.625)	Data 0.001 (0.005)	Loss 1.7667 (1.7556)	Prec@1 61.500 (53.508)	Prec@5 80.000 (82.590)
Epoch: [63][1160/9018]	Time 0.605 (0.625)	Data 0.001 (0.005)	Loss 1.7788 (1.7558)	Prec@1 51.500 (53.501)	Prec@5 83.000 (82.584)
Epoch: [63][1170/9018]	Time 0.781 (0.625)	Data 0.001 (0.005)	Loss 1.6576 (1.7553)	Prec@1 59.000 (53.515)	Prec@5 84.000 (82.597)
Epoch: [63][1180/9018]	Time 0.657 (0.625)	Data 0.001 (0.005)	Loss 1.5723 (1.7553)	Prec@1 57.000 (53.519)	Prec@5 83.500 (82.596)
Epoch: [63][1190/9018]	Time 0.637 (0.625)	Data 0.001 (0.005)	Loss 1.4996 (1.7552)	Prec@1 58.000 (53.512)	Prec@5 90.000 (82.595)
Epoch: [63][1200/9018]	Time 0.637 (0.625)	Data 0.001 (0.005)	Loss 1.8368 (1.7551)	Prec@1 49.000 (53.508)	Prec@5 82.500 (82.592)
Epoch: [63][1210/9018]	Time 0.613 (0.625)	Data 0.001 (0.005)	Loss 1.9172 (1.7553)	Prec@1 49.000 (53.495)	Prec@5 79.500 (82.590)
Epoch: [63][1220/9018]	Time 0.802 (0.625)	Data 0.001 (0.005)	Loss 1.6552 (1.7561)	Prec@1 52.500 (53.467)	Prec@5 85.000 (82.586)
Epoch: [63][1230/9018]	Time 0.598 (0.625)	Data 0.001 (0.005)	Loss 1.7022 (1.7565)	Prec@1 54.500 (53.458)	Prec@5 82.000 (82.576)
Epoch: [63][1240/9018]	Time 0.608 (0.625)	Data 0.001 (0.005)	Loss 1.5924 (1.7567)	Prec@1 54.000 (53.454)	Prec@5 89.500 (82.570)
Epoch: [63][1250/9018]	Time 0.630 (0.625)	Data 0.007 (0.005)	Loss 1.7433 (1.7568)	Prec@1 54.500 (53.455)	Prec@5 81.500 (82.566)
Epoch: [63][1260/9018]	Time 0.611 (0.625)	Data 0.001 (0.005)	Loss 1.7269 (1.7570)	Prec@1 50.500 (53.450)	Prec@5 85.000 (82.565)
Epoch: [63][1270/9018]	Time 0.615 (0.625)	Data 0.001 (0.005)	Loss 1.6764 (1.7568)	Prec@1 54.500 (53.443)	Prec@5 83.000 (82.570)
Epoch: [63][1280/9018]	Time 0.609 (0.625)	Data 0.001 (0.005)	Loss 1.6513 (1.7565)	Prec@1 51.500 (53.445)	Prec@5 86.000 (82.575)
Epoch: [63][1290/9018]	Time 0.614 (0.625)	Data 0.001 (0.005)	Loss 1.5606 (1.7559)	Prec@1 57.500 (53.457)	Prec@5 87.500 (82.592)
Epoch: [63][1300/9018]	Time 0.608 (0.625)	Data 0.026 (0.005)	Loss 1.9094 (1.7562)	Prec@1 46.500 (53.450)	Prec@5 83.000 (82.589)
Epoch: [63][1310/9018]	Time 0.589 (0.625)	Data 0.001 (0.005)	Loss 1.7082 (1.7559)	Prec@1 52.500 (53.450)	Prec@5 86.000 (82.599)
Epoch: [63][1320/9018]	Time 0.611 (0.625)	Data 0.011 (0.005)	Loss 1.8309 (1.7557)	Prec@1 51.000 (53.455)	Prec@5 83.000 (82.609)
Epoch: [63][1330/9018]	Time 0.633 (0.625)	Data 0.001 (0.005)	Loss 1.7532 (1.7556)	Prec@1 61.000 (53.470)	Prec@5 81.500 (82.612)
Epoch: [63][1340/9018]	Time 0.594 (0.625)	Data 0.001 (0.005)	Loss 1.7158 (1.7557)	Prec@1 56.000 (53.468)	Prec@5 83.500 (82.612)
Epoch: [63][1350/9018]	Time 0.594 (0.625)	Data 0.014 (0.005)	Loss 1.5910 (1.7556)	Prec@1 54.500 (53.464)	Prec@5 89.500 (82.617)
Epoch: [63][1360/9018]	Time 0.600 (0.625)	Data 0.001 (0.005)	Loss 1.6562 (1.7559)	Prec@1 55.000 (53.453)	Prec@5 84.000 (82.615)
Epoch: [63][1370/9018]	Time 0.640 (0.625)	Data 0.001 (0.005)	Loss 1.9432 (1.7560)	Prec@1 49.000 (53.449)	Prec@5 81.000 (82.615)
Epoch: [63][1380/9018]	Time 0.624 (0.625)	Data 0.001 (0.005)	Loss 1.6624 (1.7563)	Prec@1 50.500 (53.441)	Prec@5 84.500 (82.605)
Epoch: [63][1390/9018]	Time 0.606 (0.625)	Data 0.003 (0.005)	Loss 1.7800 (1.7561)	Prec@1 56.000 (53.448)	Prec@5 83.000 (82.610)
Epoch: [63][1400/9018]	Time 0.628 (0.625)	Data 0.001 (0.005)	Loss 1.8743 (1.7560)	Prec@1 51.500 (53.447)	Prec@5 78.000 (82.610)
Epoch: [63][1410/9018]	Time 0.618 (0.625)	Data 0.014 (0.005)	Loss 1.7255 (1.7561)	Prec@1 54.000 (53.453)	Prec@5 80.000 (82.610)
Epoch: [63][1420/9018]	Time 0.610 (0.625)	Data 0.001 (0.005)	Loss 1.8724 (1.7560)	Prec@1 48.000 (53.454)	Prec@5 83.000 (82.619)
Epoch: [63][1430/9018]	Time 0.608 (0.625)	Data 0.001 (0.005)	Loss 1.7404 (1.7560)	Prec@1 54.500 (53.459)	Prec@5 83.500 (82.617)
Epoch: [63][1440/9018]	Time 0.626 (0.625)	Data 0.001 (0.005)	Loss 1.6475 (1.7559)	Prec@1 55.500 (53.455)	Prec@5 84.000 (82.621)
Epoch: [63][1450/9018]	Time 0.609 (0.625)	Data 0.001 (0.005)	Loss 1.6091 (1.7553)	Prec@1 50.500 (53.464)	Prec@5 88.500 (82.634)
Epoch: [63][1460/9018]	Time 0.639 (0.625)	Data 0.001 (0.005)	Loss 1.6282 (1.7554)	Prec@1 55.000 (53.464)	Prec@5 81.500 (82.630)
Epoch: [63][1470/9018]	Time 0.654 (0.625)	Data 0.001 (0.005)	Loss 1.6491 (1.7555)	Prec@1 60.500 (53.470)	Prec@5 82.000 (82.626)
Epoch: [63][1480/9018]	Time 0.596 (0.625)	Data 0.001 (0.005)	Loss 1.6691 (1.7556)	Prec@1 55.000 (53.465)	Prec@5 83.500 (82.623)
Epoch: [63][1490/9018]	Time 0.595 (0.625)	Data 0.009 (0.005)	Loss 1.6925 (1.7558)	Prec@1 52.500 (53.459)	Prec@5 83.000 (82.621)
Epoch: [63][1500/9018]	Time 0.728 (0.625)	Data 0.001 (0.005)	Loss 1.6331 (1.7551)	Prec@1 58.500 (53.482)	Prec@5 81.500 (82.631)
Epoch: [63][1510/9018]	Time 0.624 (0.625)	Data 0.015 (0.005)	Loss 1.9613 (1.7556)	Prec@1 48.500 (53.475)	Prec@5 78.500 (82.623)
Epoch: [63][1520/9018]	Time 0.620 (0.625)	Data 0.001 (0.005)	Loss 1.6939 (1.7557)	Prec@1 54.000 (53.473)	Prec@5 84.500 (82.616)
Epoch: [63][1530/9018]	Time 0.601 (0.625)	Data 0.001 (0.005)	Loss 1.8406 (1.7557)	Prec@1 54.500 (53.475)	Prec@5 83.500 (82.620)
Epoch: [63][1540/9018]	Time 0.618 (0.625)	Data 0.001 (0.005)	Loss 1.8281 (1.7557)	Prec@1 48.000 (53.475)	Prec@5 81.500 (82.621)
Epoch: [63][1550/9018]	Time 0.780 (0.625)	Data 0.003 (0.005)	Loss 1.6250 (1.7555)	Prec@1 59.000 (53.475)	Prec@5 82.000 (82.626)
Epoch: [63][1560/9018]	Time 0.599 (0.625)	Data 0.001 (0.005)	Loss 1.7658 (1.7553)	Prec@1 51.500 (53.476)	Prec@5 81.000 (82.631)
Epoch: [63][1570/9018]	Time 0.594 (0.625)	Data 0.001 (0.005)	Loss 1.5756 (1.7554)	Prec@1 54.500 (53.472)	Prec@5 81.500 (82.627)
Epoch: [63][1580/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.7157 (1.7556)	Prec@1 54.500 (53.468)	Prec@5 83.500 (82.621)
Epoch: [63][1590/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.7204 (1.7557)	Prec@1 55.500 (53.470)	Prec@5 83.000 (82.615)
Epoch: [63][1600/9018]	Time 0.647 (0.625)	Data 0.001 (0.004)	Loss 1.7976 (1.7554)	Prec@1 52.500 (53.469)	Prec@5 81.000 (82.620)
Epoch: [63][1610/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.8392 (1.7557)	Prec@1 53.500 (53.472)	Prec@5 81.000 (82.619)
Epoch: [63][1620/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.6644 (1.7556)	Prec@1 55.000 (53.476)	Prec@5 83.500 (82.624)
Epoch: [63][1630/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.8681 (1.7557)	Prec@1 55.000 (53.478)	Prec@5 84.000 (82.621)
Epoch: [63][1640/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.7850 (1.7557)	Prec@1 47.500 (53.477)	Prec@5 84.500 (82.620)
Epoch: [63][1650/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.8415 (1.7559)	Prec@1 52.500 (53.480)	Prec@5 82.500 (82.616)
Epoch: [63][1660/9018]	Time 0.631 (0.625)	Data 0.017 (0.004)	Loss 1.9248 (1.7561)	Prec@1 45.500 (53.476)	Prec@5 78.000 (82.616)
Epoch: [63][1670/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.7967 (1.7559)	Prec@1 53.000 (53.477)	Prec@5 82.500 (82.618)
Epoch: [63][1680/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.9307 (1.7561)	Prec@1 53.500 (53.475)	Prec@5 79.500 (82.612)
Epoch: [63][1690/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 2.0804 (1.7564)	Prec@1 48.500 (53.468)	Prec@5 78.500 (82.610)
Epoch: [63][1700/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.6910 (1.7564)	Prec@1 55.500 (53.469)	Prec@5 81.000 (82.606)
Epoch: [63][1710/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.7181 (1.7563)	Prec@1 57.500 (53.472)	Prec@5 84.000 (82.607)
Epoch: [63][1720/9018]	Time 0.645 (0.625)	Data 0.001 (0.004)	Loss 1.7730 (1.7562)	Prec@1 52.000 (53.469)	Prec@5 80.000 (82.611)
Epoch: [63][1730/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.7304 (1.7563)	Prec@1 54.000 (53.470)	Prec@5 83.500 (82.603)
Epoch: [63][1740/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.5980 (1.7563)	Prec@1 60.000 (53.469)	Prec@5 83.000 (82.603)
Epoch: [63][1750/9018]	Time 0.642 (0.625)	Data 0.013 (0.004)	Loss 1.8913 (1.7565)	Prec@1 48.500 (53.468)	Prec@5 84.000 (82.606)
Epoch: [63][1760/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.6709 (1.7564)	Prec@1 57.000 (53.474)	Prec@5 83.000 (82.611)
Epoch: [63][1770/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.8568 (1.7559)	Prec@1 53.000 (53.493)	Prec@5 82.000 (82.623)
Epoch: [63][1780/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.5974 (1.7559)	Prec@1 56.000 (53.492)	Prec@5 84.000 (82.616)
Epoch: [63][1790/9018]	Time 0.641 (0.625)	Data 0.001 (0.004)	Loss 1.7190 (1.7557)	Prec@1 58.000 (53.496)	Prec@5 84.000 (82.623)
Epoch: [63][1800/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.7418 (1.7558)	Prec@1 54.000 (53.493)	Prec@5 83.500 (82.617)
Epoch: [63][1810/9018]	Time 0.616 (0.625)	Data 0.017 (0.004)	Loss 1.8092 (1.7558)	Prec@1 49.500 (53.496)	Prec@5 82.000 (82.619)
Epoch: [63][1820/9018]	Time 0.599 (0.625)	Data 0.003 (0.004)	Loss 1.7239 (1.7560)	Prec@1 54.000 (53.498)	Prec@5 83.500 (82.613)
Epoch: [63][1830/9018]	Time 0.832 (0.625)	Data 0.018 (0.004)	Loss 1.6159 (1.7558)	Prec@1 55.500 (53.501)	Prec@5 86.000 (82.618)
Epoch: [63][1840/9018]	Time 0.604 (0.625)	Data 0.008 (0.004)	Loss 1.7003 (1.7558)	Prec@1 54.500 (53.505)	Prec@5 84.500 (82.619)
Epoch: [63][1850/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.7416 (1.7557)	Prec@1 55.500 (53.512)	Prec@5 80.500 (82.618)
Epoch: [63][1860/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.9492 (1.7560)	Prec@1 45.500 (53.503)	Prec@5 79.000 (82.615)
Epoch: [63][1870/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.5597 (1.7562)	Prec@1 60.500 (53.498)	Prec@5 87.500 (82.612)
Epoch: [63][1880/9018]	Time 0.761 (0.625)	Data 0.001 (0.004)	Loss 1.9446 (1.7563)	Prec@1 48.000 (53.495)	Prec@5 79.500 (82.610)
Epoch: [63][1890/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6847 (1.7565)	Prec@1 46.500 (53.486)	Prec@5 87.000 (82.609)
Epoch: [63][1900/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.8292 (1.7566)	Prec@1 57.000 (53.483)	Prec@5 78.000 (82.610)
Epoch: [63][1910/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.7046 (1.7561)	Prec@1 57.500 (53.490)	Prec@5 84.000 (82.624)
Epoch: [63][1920/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.8392 (1.7562)	Prec@1 51.000 (53.490)	Prec@5 81.500 (82.626)
Epoch: [63][1930/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.6220 (1.7563)	Prec@1 55.000 (53.494)	Prec@5 84.500 (82.622)
Epoch: [63][1940/9018]	Time 0.617 (0.625)	Data 0.017 (0.004)	Loss 1.6848 (1.7563)	Prec@1 55.500 (53.493)	Prec@5 85.500 (82.625)
Epoch: [63][1950/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.5441 (1.7561)	Prec@1 56.500 (53.495)	Prec@5 85.000 (82.628)
Epoch: [63][1960/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.8584 (1.7566)	Prec@1 50.000 (53.485)	Prec@5 77.500 (82.620)
Epoch: [63][1970/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.5776 (1.7563)	Prec@1 58.500 (53.496)	Prec@5 82.500 (82.621)
Epoch: [63][1980/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.6523 (1.7565)	Prec@1 56.000 (53.492)	Prec@5 83.500 (82.612)
Epoch: [63][1990/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.7271 (1.7565)	Prec@1 51.000 (53.489)	Prec@5 79.500 (82.608)
Epoch: [63][2000/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.8155 (1.7566)	Prec@1 54.500 (53.486)	Prec@5 80.500 (82.611)
Epoch: [63][2010/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.9167 (1.7567)	Prec@1 50.500 (53.480)	Prec@5 78.000 (82.606)
Epoch: [63][2020/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7504 (1.7566)	Prec@1 55.000 (53.484)	Prec@5 81.000 (82.603)
Epoch: [63][2030/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.7273 (1.7565)	Prec@1 54.500 (53.488)	Prec@5 82.000 (82.605)
Epoch: [63][2040/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.7871 (1.7569)	Prec@1 53.500 (53.482)	Prec@5 79.500 (82.596)
Epoch: [63][2050/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.6898 (1.7569)	Prec@1 54.500 (53.482)	Prec@5 83.500 (82.590)
Epoch: [63][2060/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.7090 (1.7567)	Prec@1 54.500 (53.480)	Prec@5 84.500 (82.593)
Epoch: [63][2070/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.7436 (1.7568)	Prec@1 53.000 (53.484)	Prec@5 79.500 (82.591)
Epoch: [63][2080/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.8060 (1.7567)	Prec@1 50.000 (53.485)	Prec@5 83.500 (82.593)
Epoch: [63][2090/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.6421 (1.7565)	Prec@1 58.500 (53.488)	Prec@5 85.000 (82.598)
Epoch: [63][2100/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.8051 (1.7564)	Prec@1 53.500 (53.495)	Prec@5 81.500 (82.597)
Epoch: [63][2110/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8231 (1.7564)	Prec@1 54.000 (53.492)	Prec@5 83.500 (82.603)
Epoch: [63][2120/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 2.0629 (1.7568)	Prec@1 49.000 (53.484)	Prec@5 77.000 (82.594)
Epoch: [63][2130/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.9003 (1.7569)	Prec@1 48.500 (53.472)	Prec@5 80.500 (82.591)
Epoch: [63][2140/9018]	Time 0.664 (0.625)	Data 0.001 (0.004)	Loss 1.8161 (1.7566)	Prec@1 55.000 (53.481)	Prec@5 82.000 (82.598)
Epoch: [63][2150/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.9814 (1.7569)	Prec@1 51.500 (53.476)	Prec@5 76.500 (82.593)
Epoch: [63][2160/9018]	Time 0.725 (0.625)	Data 0.001 (0.004)	Loss 1.9581 (1.7568)	Prec@1 50.500 (53.482)	Prec@5 77.000 (82.596)
Epoch: [63][2170/9018]	Time 0.623 (0.625)	Data 0.013 (0.004)	Loss 1.6682 (1.7567)	Prec@1 55.500 (53.480)	Prec@5 85.500 (82.597)
Epoch: [63][2180/9018]	Time 0.590 (0.625)	Data 0.001 (0.004)	Loss 1.7950 (1.7565)	Prec@1 55.000 (53.485)	Prec@5 81.500 (82.598)
Epoch: [63][2190/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.8108 (1.7566)	Prec@1 49.000 (53.479)	Prec@5 79.500 (82.598)
Epoch: [63][2200/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.6209 (1.7566)	Prec@1 59.000 (53.479)	Prec@5 86.000 (82.596)
Epoch: [63][2210/9018]	Time 0.748 (0.625)	Data 0.002 (0.004)	Loss 1.5892 (1.7564)	Prec@1 53.500 (53.474)	Prec@5 85.500 (82.601)
Epoch: [63][2220/9018]	Time 0.628 (0.625)	Data 0.007 (0.004)	Loss 1.7853 (1.7565)	Prec@1 52.500 (53.473)	Prec@5 83.500 (82.597)
Epoch: [63][2230/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.8009 (1.7568)	Prec@1 56.500 (53.468)	Prec@5 80.500 (82.589)
Epoch: [63][2240/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.8962 (1.7566)	Prec@1 51.000 (53.467)	Prec@5 81.000 (82.598)
Epoch: [63][2250/9018]	Time 0.606 (0.625)	Data 0.003 (0.004)	Loss 1.6161 (1.7566)	Prec@1 58.000 (53.469)	Prec@5 85.000 (82.597)
Epoch: [63][2260/9018]	Time 0.658 (0.625)	Data 0.001 (0.004)	Loss 1.5260 (1.7565)	Prec@1 61.000 (53.471)	Prec@5 85.000 (82.599)
Epoch: [63][2270/9018]	Time 0.603 (0.625)	Data 0.014 (0.004)	Loss 1.7745 (1.7567)	Prec@1 53.500 (53.468)	Prec@5 80.500 (82.597)
Epoch: [63][2280/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.5993 (1.7565)	Prec@1 57.000 (53.468)	Prec@5 86.000 (82.602)
Epoch: [63][2290/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7174 (1.7564)	Prec@1 51.500 (53.466)	Prec@5 82.000 (82.604)
Epoch: [63][2300/9018]	Time 0.619 (0.625)	Data 0.014 (0.004)	Loss 1.8790 (1.7565)	Prec@1 52.500 (53.466)	Prec@5 82.500 (82.604)
Epoch: [63][2310/9018]	Time 0.647 (0.625)	Data 0.014 (0.004)	Loss 1.7071 (1.7566)	Prec@1 56.000 (53.469)	Prec@5 84.500 (82.603)
Epoch: [63][2320/9018]	Time 0.634 (0.625)	Data 0.002 (0.004)	Loss 2.1004 (1.7566)	Prec@1 47.500 (53.474)	Prec@5 76.500 (82.601)
Epoch: [63][2330/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.6704 (1.7564)	Prec@1 53.500 (53.475)	Prec@5 83.500 (82.606)
Epoch: [63][2340/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.7188 (1.7561)	Prec@1 51.000 (53.477)	Prec@5 83.500 (82.616)
Epoch: [63][2350/9018]	Time 0.607 (0.625)	Data 0.014 (0.004)	Loss 1.9933 (1.7559)	Prec@1 49.500 (53.476)	Prec@5 76.500 (82.622)
Epoch: [63][2360/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.7915 (1.7561)	Prec@1 54.000 (53.472)	Prec@5 81.500 (82.621)
Epoch: [63][2370/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.8233 (1.7561)	Prec@1 54.500 (53.474)	Prec@5 82.500 (82.619)
Epoch: [63][2380/9018]	Time 0.624 (0.625)	Data 0.012 (0.004)	Loss 1.7969 (1.7561)	Prec@1 51.000 (53.468)	Prec@5 80.500 (82.621)
Epoch: [63][2390/9018]	Time 0.654 (0.625)	Data 0.001 (0.004)	Loss 1.8669 (1.7562)	Prec@1 50.500 (53.465)	Prec@5 81.000 (82.619)
Epoch: [63][2400/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.7022 (1.7561)	Prec@1 57.500 (53.469)	Prec@5 86.000 (82.621)
Epoch: [63][2410/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.6804 (1.7561)	Prec@1 53.000 (53.472)	Prec@5 84.000 (82.621)
Epoch: [63][2420/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8527 (1.7559)	Prec@1 49.000 (53.477)	Prec@5 82.500 (82.622)
Epoch: [63][2430/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.5878 (1.7558)	Prec@1 59.500 (53.479)	Prec@5 85.500 (82.625)
Epoch: [63][2440/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.8108 (1.7556)	Prec@1 51.000 (53.485)	Prec@5 81.000 (82.627)
Epoch: [63][2450/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.6434 (1.7554)	Prec@1 60.000 (53.487)	Prec@5 85.000 (82.632)
Epoch: [63][2460/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.8758 (1.7554)	Prec@1 52.500 (53.486)	Prec@5 82.000 (82.630)
Epoch: [63][2470/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 2.0095 (1.7555)	Prec@1 52.000 (53.489)	Prec@5 81.000 (82.630)
Epoch: [63][2480/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.8361 (1.7555)	Prec@1 52.000 (53.486)	Prec@5 83.000 (82.632)
Epoch: [63][2490/9018]	Time 0.781 (0.625)	Data 0.011 (0.004)	Loss 1.5705 (1.7554)	Prec@1 55.500 (53.486)	Prec@5 88.000 (82.634)
Epoch: [63][2500/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 2.0354 (1.7556)	Prec@1 46.500 (53.481)	Prec@5 78.000 (82.631)
Epoch: [63][2510/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.7061 (1.7553)	Prec@1 54.000 (53.486)	Prec@5 84.500 (82.635)
Epoch: [63][2520/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.7961 (1.7554)	Prec@1 52.000 (53.482)	Prec@5 85.500 (82.640)
Epoch: [63][2530/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.6389 (1.7553)	Prec@1 56.500 (53.482)	Prec@5 84.500 (82.641)
Epoch: [63][2540/9018]	Time 0.784 (0.625)	Data 0.001 (0.004)	Loss 1.6261 (1.7552)	Prec@1 54.500 (53.481)	Prec@5 84.500 (82.644)
Epoch: [63][2550/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.7522 (1.7553)	Prec@1 52.000 (53.478)	Prec@5 84.000 (82.639)
Epoch: [63][2560/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.8661 (1.7552)	Prec@1 52.500 (53.483)	Prec@5 81.000 (82.640)
Epoch: [63][2570/9018]	Time 0.651 (0.625)	Data 0.001 (0.004)	Loss 1.6642 (1.7552)	Prec@1 59.500 (53.481)	Prec@5 83.500 (82.643)
Epoch: [63][2580/9018]	Time 0.594 (0.625)	Data 0.014 (0.004)	Loss 1.5942 (1.7551)	Prec@1 59.500 (53.482)	Prec@5 85.500 (82.644)
Epoch: [63][2590/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.7115 (1.7548)	Prec@1 54.000 (53.485)	Prec@5 83.000 (82.647)
Epoch: [63][2600/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.8577 (1.7549)	Prec@1 52.000 (53.486)	Prec@5 84.000 (82.648)
Epoch: [63][2610/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.8651 (1.7550)	Prec@1 55.000 (53.480)	Prec@5 77.500 (82.646)
Epoch: [63][2620/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.6837 (1.7551)	Prec@1 52.500 (53.473)	Prec@5 83.500 (82.647)
Epoch: [63][2630/9018]	Time 0.620 (0.625)	Data 0.013 (0.004)	Loss 1.7209 (1.7553)	Prec@1 53.000 (53.465)	Prec@5 84.000 (82.643)
Epoch: [63][2640/9018]	Time 0.632 (0.625)	Data 0.017 (0.004)	Loss 1.8555 (1.7552)	Prec@1 51.000 (53.466)	Prec@5 81.000 (82.646)
Epoch: [63][2650/9018]	Time 0.653 (0.625)	Data 0.001 (0.004)	Loss 1.6474 (1.7552)	Prec@1 57.000 (53.464)	Prec@5 84.500 (82.645)
Epoch: [63][2660/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.8089 (1.7553)	Prec@1 53.500 (53.463)	Prec@5 83.000 (82.642)
Epoch: [63][2670/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.6334 (1.7553)	Prec@1 54.000 (53.466)	Prec@5 86.500 (82.641)
Epoch: [63][2680/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.9632 (1.7554)	Prec@1 51.000 (53.467)	Prec@5 78.500 (82.639)
Epoch: [63][2690/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.6480 (1.7553)	Prec@1 55.500 (53.469)	Prec@5 85.000 (82.639)
Epoch: [63][2700/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8728 (1.7554)	Prec@1 51.500 (53.468)	Prec@5 76.000 (82.635)
Epoch: [63][2710/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.7601 (1.7552)	Prec@1 53.000 (53.468)	Prec@5 82.000 (82.637)
Epoch: [63][2720/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.8326 (1.7552)	Prec@1 55.000 (53.472)	Prec@5 81.000 (82.636)
Epoch: [63][2730/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.7679 (1.7553)	Prec@1 53.000 (53.465)	Prec@5 82.500 (82.631)
Epoch: [63][2740/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.7420 (1.7553)	Prec@1 48.000 (53.463)	Prec@5 85.000 (82.631)
Epoch: [63][2750/9018]	Time 0.602 (0.625)	Data 0.006 (0.004)	Loss 2.0025 (1.7553)	Prec@1 48.000 (53.463)	Prec@5 80.000 (82.630)
Epoch: [63][2760/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.7583 (1.7554)	Prec@1 51.500 (53.455)	Prec@5 83.000 (82.628)
Epoch: [63][2770/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.9508 (1.7555)	Prec@1 47.000 (53.449)	Prec@5 81.000 (82.627)
Epoch: [63][2780/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.7165 (1.7556)	Prec@1 50.500 (53.445)	Prec@5 82.000 (82.626)
Epoch: [63][2790/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.6552 (1.7555)	Prec@1 57.500 (53.448)	Prec@5 83.500 (82.627)
Epoch: [63][2800/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.8810 (1.7555)	Prec@1 51.000 (53.448)	Prec@5 78.000 (82.626)
Epoch: [63][2810/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.8390 (1.7555)	Prec@1 53.500 (53.446)	Prec@5 80.500 (82.628)
Epoch: [63][2820/9018]	Time 0.776 (0.625)	Data 0.001 (0.004)	Loss 1.8357 (1.7554)	Prec@1 51.500 (53.448)	Prec@5 81.500 (82.627)
Epoch: [63][2830/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.8817 (1.7554)	Prec@1 51.000 (53.447)	Prec@5 83.000 (82.632)
Epoch: [63][2840/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.6349 (1.7552)	Prec@1 54.000 (53.447)	Prec@5 83.500 (82.635)
Epoch: [63][2850/9018]	Time 0.592 (0.625)	Data 0.012 (0.004)	Loss 1.7446 (1.7552)	Prec@1 50.500 (53.449)	Prec@5 85.500 (82.638)
Epoch: [63][2860/9018]	Time 0.654 (0.625)	Data 0.001 (0.004)	Loss 1.5673 (1.7552)	Prec@1 57.000 (53.447)	Prec@5 86.500 (82.641)
Epoch: [63][2870/9018]	Time 0.736 (0.625)	Data 0.001 (0.004)	Loss 1.5863 (1.7552)	Prec@1 56.000 (53.444)	Prec@5 85.000 (82.643)
Epoch: [63][2880/9018]	Time 0.587 (0.625)	Data 0.001 (0.004)	Loss 1.7352 (1.7551)	Prec@1 56.000 (53.442)	Prec@5 78.500 (82.645)
Epoch: [63][2890/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.8529 (1.7550)	Prec@1 53.000 (53.442)	Prec@5 80.500 (82.648)
Epoch: [63][2900/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.8222 (1.7551)	Prec@1 51.500 (53.438)	Prec@5 81.000 (82.646)
Epoch: [63][2910/9018]	Time 0.645 (0.625)	Data 0.017 (0.004)	Loss 1.6567 (1.7552)	Prec@1 57.000 (53.435)	Prec@5 82.500 (82.642)
Epoch: [63][2920/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.6609 (1.7554)	Prec@1 59.000 (53.432)	Prec@5 85.500 (82.639)
Epoch: [63][2930/9018]	Time 0.623 (0.625)	Data 0.002 (0.004)	Loss 1.7028 (1.7554)	Prec@1 57.500 (53.429)	Prec@5 82.000 (82.639)
Epoch: [63][2940/9018]	Time 0.603 (0.625)	Data 0.002 (0.004)	Loss 1.6362 (1.7553)	Prec@1 53.500 (53.434)	Prec@5 85.000 (82.644)
Epoch: [63][2950/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.7504 (1.7553)	Prec@1 56.500 (53.438)	Prec@5 79.500 (82.645)
Epoch: [63][2960/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.8584 (1.7554)	Prec@1 47.000 (53.433)	Prec@5 82.000 (82.643)
Epoch: [63][2970/9018]	Time 0.657 (0.625)	Data 0.001 (0.004)	Loss 1.8198 (1.7557)	Prec@1 54.000 (53.427)	Prec@5 85.000 (82.641)
Epoch: [63][2980/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.8591 (1.7558)	Prec@1 52.000 (53.425)	Prec@5 80.000 (82.639)
Epoch: [63][2990/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.7971 (1.7557)	Prec@1 51.500 (53.426)	Prec@5 81.000 (82.639)
Epoch: [63][3000/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.8115 (1.7559)	Prec@1 53.500 (53.417)	Prec@5 79.000 (82.635)
Epoch: [63][3010/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.6736 (1.7558)	Prec@1 56.000 (53.421)	Prec@5 85.500 (82.638)
Epoch: [63][3020/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.8348 (1.7559)	Prec@1 49.000 (53.424)	Prec@5 81.500 (82.638)
Epoch: [63][3030/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.7102 (1.7559)	Prec@1 52.000 (53.427)	Prec@5 84.500 (82.637)
Epoch: [63][3040/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.7098 (1.7560)	Prec@1 53.500 (53.428)	Prec@5 84.500 (82.634)
Epoch: [63][3050/9018]	Time 0.609 (0.624)	Data 0.005 (0.004)	Loss 1.6487 (1.7561)	Prec@1 55.500 (53.427)	Prec@5 84.500 (82.634)
Epoch: [63][3060/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.8445 (1.7561)	Prec@1 55.500 (53.424)	Prec@5 79.500 (82.632)
Epoch: [63][3070/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.4941 (1.7560)	Prec@1 59.000 (53.423)	Prec@5 87.000 (82.635)
Epoch: [63][3080/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.8056 (1.7562)	Prec@1 53.500 (53.416)	Prec@5 79.500 (82.633)
Epoch: [63][3090/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.7152 (1.7563)	Prec@1 53.500 (53.416)	Prec@5 83.500 (82.630)
Epoch: [63][3100/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.7092 (1.7563)	Prec@1 54.000 (53.414)	Prec@5 84.500 (82.632)
Epoch: [63][3110/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.7734 (1.7563)	Prec@1 52.500 (53.419)	Prec@5 81.000 (82.632)
Epoch: [63][3120/9018]	Time 0.598 (0.624)	Data 0.015 (0.003)	Loss 1.7477 (1.7566)	Prec@1 52.000 (53.415)	Prec@5 81.500 (82.624)
Epoch: [63][3130/9018]	Time 0.644 (0.624)	Data 0.001 (0.003)	Loss 1.6075 (1.7568)	Prec@1 59.000 (53.414)	Prec@5 86.000 (82.617)
Epoch: [63][3140/9018]	Time 0.616 (0.624)	Data 0.014 (0.003)	Loss 1.8888 (1.7568)	Prec@1 51.000 (53.418)	Prec@5 83.500 (82.618)
Epoch: [63][3150/9018]	Time 0.740 (0.624)	Data 0.001 (0.003)	Loss 1.6339 (1.7567)	Prec@1 55.500 (53.418)	Prec@5 84.500 (82.618)
Epoch: [63][3160/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.6674 (1.7569)	Prec@1 53.000 (53.413)	Prec@5 85.000 (82.615)
Epoch: [63][3170/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.9081 (1.7568)	Prec@1 51.500 (53.412)	Prec@5 74.500 (82.616)
Epoch: [63][3180/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.7097 (1.7568)	Prec@1 57.500 (53.414)	Prec@5 87.000 (82.616)
Epoch: [63][3190/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.8041 (1.7567)	Prec@1 51.000 (53.417)	Prec@5 83.000 (82.619)
Epoch: [63][3200/9018]	Time 0.758 (0.624)	Data 0.001 (0.003)	Loss 1.6892 (1.7567)	Prec@1 55.500 (53.413)	Prec@5 86.000 (82.620)
Epoch: [63][3210/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.5284 (1.7567)	Prec@1 60.500 (53.412)	Prec@5 84.000 (82.620)
Epoch: [63][3220/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.8742 (1.7567)	Prec@1 50.500 (53.414)	Prec@5 80.500 (82.618)
Epoch: [63][3230/9018]	Time 0.619 (0.624)	Data 0.015 (0.003)	Loss 1.6968 (1.7568)	Prec@1 52.500 (53.411)	Prec@5 82.500 (82.618)
Epoch: [63][3240/9018]	Time 0.631 (0.624)	Data 0.016 (0.003)	Loss 1.6622 (1.7570)	Prec@1 57.500 (53.409)	Prec@5 84.500 (82.618)
Epoch: [63][3250/9018]	Time 0.589 (0.624)	Data 0.001 (0.003)	Loss 1.9989 (1.7572)	Prec@1 50.500 (53.403)	Prec@5 78.500 (82.613)
Epoch: [63][3260/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.6896 (1.7573)	Prec@1 56.500 (53.404)	Prec@5 82.500 (82.609)
Epoch: [63][3270/9018]	Time 0.643 (0.624)	Data 0.001 (0.003)	Loss 1.5581 (1.7572)	Prec@1 56.500 (53.411)	Prec@5 87.500 (82.611)
Epoch: [63][3280/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 2.0261 (1.7573)	Prec@1 45.500 (53.409)	Prec@5 78.000 (82.608)
Epoch: [63][3290/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.7072 (1.7574)	Prec@1 61.000 (53.410)	Prec@5 83.000 (82.605)
Epoch: [63][3300/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.6425 (1.7574)	Prec@1 52.000 (53.410)	Prec@5 84.500 (82.606)
Epoch: [63][3310/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.7650 (1.7574)	Prec@1 53.500 (53.410)	Prec@5 81.000 (82.606)
Epoch: [63][3320/9018]	Time 0.613 (0.624)	Data 0.014 (0.003)	Loss 1.5729 (1.7574)	Prec@1 59.000 (53.414)	Prec@5 83.000 (82.600)
Epoch: [63][3330/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.9749 (1.7573)	Prec@1 47.500 (53.414)	Prec@5 80.500 (82.601)
Epoch: [63][3340/9018]	Time 0.641 (0.624)	Data 0.001 (0.003)	Loss 1.8673 (1.7573)	Prec@1 53.000 (53.414)	Prec@5 81.500 (82.600)
Epoch: [63][3350/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.8662 (1.7573)	Prec@1 52.500 (53.409)	Prec@5 78.500 (82.597)
Epoch: [63][3360/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.8207 (1.7574)	Prec@1 54.000 (53.410)	Prec@5 83.500 (82.599)
Epoch: [63][3370/9018]	Time 0.640 (0.624)	Data 0.001 (0.003)	Loss 1.8943 (1.7575)	Prec@1 46.500 (53.409)	Prec@5 80.000 (82.596)
Epoch: [63][3380/9018]	Time 0.642 (0.624)	Data 0.001 (0.003)	Loss 1.8035 (1.7575)	Prec@1 54.000 (53.411)	Prec@5 80.000 (82.593)
Epoch: [63][3390/9018]	Time 0.620 (0.624)	Data 0.004 (0.003)	Loss 1.6414 (1.7574)	Prec@1 52.000 (53.413)	Prec@5 86.000 (82.595)
Epoch: [63][3400/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.6679 (1.7574)	Prec@1 56.500 (53.413)	Prec@5 83.500 (82.597)
Epoch: [63][3410/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.7000 (1.7575)	Prec@1 54.000 (53.412)	Prec@5 85.500 (82.597)
Epoch: [63][3420/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.8267 (1.7575)	Prec@1 52.500 (53.409)	Prec@5 82.000 (82.598)
Epoch: [63][3430/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 1.6825 (1.7575)	Prec@1 55.500 (53.408)	Prec@5 84.500 (82.598)
Epoch: [63][3440/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.8711 (1.7577)	Prec@1 53.500 (53.406)	Prec@5 75.000 (82.592)
Epoch: [63][3450/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.8582 (1.7577)	Prec@1 50.500 (53.407)	Prec@5 76.500 (82.590)
Epoch: [63][3460/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.7701 (1.7578)	Prec@1 50.000 (53.405)	Prec@5 82.000 (82.589)
Epoch: [63][3470/9018]	Time 0.618 (0.624)	Data 0.016 (0.003)	Loss 1.7138 (1.7575)	Prec@1 56.500 (53.411)	Prec@5 84.000 (82.595)
Epoch: [63][3480/9018]	Time 0.737 (0.624)	Data 0.001 (0.003)	Loss 1.5685 (1.7573)	Prec@1 57.500 (53.418)	Prec@5 85.500 (82.601)
Epoch: [63][3490/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.7157 (1.7575)	Prec@1 57.500 (53.416)	Prec@5 82.500 (82.600)
Epoch: [63][3500/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.4877 (1.7573)	Prec@1 54.500 (53.416)	Prec@5 89.000 (82.605)
Epoch: [63][3510/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.6739 (1.7573)	Prec@1 54.000 (53.417)	Prec@5 85.500 (82.606)
Epoch: [63][3520/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.5657 (1.7573)	Prec@1 57.000 (53.416)	Prec@5 86.000 (82.606)
Epoch: [63][3530/9018]	Time 0.754 (0.624)	Data 0.001 (0.003)	Loss 2.0179 (1.7572)	Prec@1 47.000 (53.421)	Prec@5 78.500 (82.609)
Epoch: [63][3540/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.7862 (1.7573)	Prec@1 51.500 (53.420)	Prec@5 81.000 (82.606)
Epoch: [63][3550/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.5376 (1.7572)	Prec@1 56.500 (53.423)	Prec@5 86.500 (82.608)
Epoch: [63][3560/9018]	Time 0.593 (0.624)	Data 0.017 (0.003)	Loss 1.7376 (1.7570)	Prec@1 55.000 (53.427)	Prec@5 82.500 (82.611)
Epoch: [63][3570/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.8210 (1.7570)	Prec@1 52.500 (53.423)	Prec@5 83.500 (82.610)
Epoch: [63][3580/9018]	Time 0.647 (0.624)	Data 0.001 (0.003)	Loss 1.9304 (1.7570)	Prec@1 49.500 (53.423)	Prec@5 81.000 (82.614)
Epoch: [63][3590/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.7224 (1.7571)	Prec@1 52.500 (53.420)	Prec@5 84.500 (82.615)
Epoch: [63][3600/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.8092 (1.7571)	Prec@1 54.500 (53.419)	Prec@5 81.500 (82.614)
Epoch: [63][3610/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.9011 (1.7572)	Prec@1 53.500 (53.418)	Prec@5 81.000 (82.611)
Epoch: [63][3620/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.8729 (1.7571)	Prec@1 50.000 (53.417)	Prec@5 78.500 (82.611)
Epoch: [63][3630/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.6868 (1.7570)	Prec@1 53.500 (53.423)	Prec@5 84.000 (82.611)
Epoch: [63][3640/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.6945 (1.7568)	Prec@1 53.500 (53.431)	Prec@5 86.000 (82.615)
Epoch: [63][3650/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.8676 (1.7568)	Prec@1 50.500 (53.433)	Prec@5 84.000 (82.616)
Epoch: [63][3660/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.7288 (1.7567)	Prec@1 53.000 (53.435)	Prec@5 83.000 (82.618)
Epoch: [63][3670/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.7947 (1.7568)	Prec@1 53.000 (53.430)	Prec@5 79.000 (82.615)
Epoch: [63][3680/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.8988 (1.7568)	Prec@1 50.000 (53.433)	Prec@5 77.500 (82.613)
Epoch: [63][3690/9018]	Time 0.650 (0.624)	Data 0.009 (0.003)	Loss 1.7987 (1.7569)	Prec@1 52.500 (53.432)	Prec@5 80.000 (82.609)
Epoch: [63][3700/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.7093 (1.7570)	Prec@1 56.000 (53.430)	Prec@5 83.500 (82.607)
Epoch: [63][3710/9018]	Time 0.598 (0.624)	Data 0.006 (0.003)	Loss 1.8277 (1.7571)	Prec@1 48.000 (53.429)	Prec@5 83.000 (82.606)
Epoch: [63][3720/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.5942 (1.7569)	Prec@1 54.500 (53.433)	Prec@5 82.000 (82.609)
Epoch: [63][3730/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.7045 (1.7568)	Prec@1 54.500 (53.434)	Prec@5 80.500 (82.611)
Epoch: [63][3740/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.9589 (1.7570)	Prec@1 49.000 (53.426)	Prec@5 79.500 (82.610)
Epoch: [63][3750/9018]	Time 0.589 (0.624)	Data 0.001 (0.003)	Loss 1.8906 (1.7572)	Prec@1 53.000 (53.420)	Prec@5 81.500 (82.605)
Epoch: [63][3760/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.7411 (1.7571)	Prec@1 56.000 (53.423)	Prec@5 85.000 (82.606)
Epoch: [63][3770/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.6062 (1.7571)	Prec@1 58.500 (53.423)	Prec@5 88.500 (82.606)
Epoch: [63][3780/9018]	Time 0.640 (0.624)	Data 0.014 (0.003)	Loss 1.6154 (1.7570)	Prec@1 54.000 (53.424)	Prec@5 83.000 (82.607)
Epoch: [63][3790/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.8395 (1.7571)	Prec@1 53.000 (53.423)	Prec@5 81.000 (82.607)
Epoch: [63][3800/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.7434 (1.7572)	Prec@1 53.500 (53.422)	Prec@5 84.000 (82.607)
Epoch: [63][3810/9018]	Time 0.733 (0.624)	Data 0.011 (0.003)	Loss 1.5604 (1.7570)	Prec@1 60.000 (53.429)	Prec@5 87.000 (82.609)
Epoch: [63][3820/9018]	Time 0.683 (0.624)	Data 0.001 (0.003)	Loss 1.6487 (1.7571)	Prec@1 58.000 (53.427)	Prec@5 85.000 (82.611)
Epoch: [63][3830/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.8041 (1.7571)	Prec@1 55.000 (53.428)	Prec@5 82.000 (82.612)
Epoch: [63][3840/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.7011 (1.7572)	Prec@1 50.000 (53.425)	Prec@5 82.000 (82.611)
Epoch: [63][3850/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.7709 (1.7571)	Prec@1 50.500 (53.425)	Prec@5 81.000 (82.612)
Epoch: [63][3860/9018]	Time 0.721 (0.624)	Data 0.001 (0.003)	Loss 1.6968 (1.7570)	Prec@1 54.000 (53.421)	Prec@5 85.000 (82.614)
Epoch: [63][3870/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.8295 (1.7568)	Prec@1 51.000 (53.422)	Prec@5 79.000 (82.617)
Epoch: [63][3880/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.9032 (1.7568)	Prec@1 50.000 (53.422)	Prec@5 82.500 (82.617)
Epoch: [63][3890/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.9805 (1.7569)	Prec@1 46.500 (53.419)	Prec@5 77.000 (82.617)
Epoch: [63][3900/9018]	Time 0.655 (0.624)	Data 0.001 (0.003)	Loss 1.6625 (1.7569)	Prec@1 54.000 (53.416)	Prec@5 81.500 (82.615)
Epoch: [63][3910/9018]	Time 0.645 (0.624)	Data 0.001 (0.003)	Loss 1.8514 (1.7569)	Prec@1 46.500 (53.415)	Prec@5 82.500 (82.616)
Epoch: [63][3920/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.6703 (1.7570)	Prec@1 57.500 (53.412)	Prec@5 82.500 (82.616)
Epoch: [63][3930/9018]	Time 0.645 (0.624)	Data 0.001 (0.003)	Loss 1.7770 (1.7572)	Prec@1 53.000 (53.409)	Prec@5 86.500 (82.616)
Epoch: [63][3940/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.6311 (1.7571)	Prec@1 54.500 (53.411)	Prec@5 82.500 (82.618)
Epoch: [63][3950/9018]	Time 0.601 (0.624)	Data 0.014 (0.003)	Loss 1.7863 (1.7571)	Prec@1 54.000 (53.408)	Prec@5 81.500 (82.616)
Epoch: [63][3960/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.7171 (1.7570)	Prec@1 51.000 (53.408)	Prec@5 82.000 (82.616)
Epoch: [63][3970/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.7417 (1.7570)	Prec@1 55.000 (53.410)	Prec@5 84.000 (82.618)
Epoch: [63][3980/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.5815 (1.7571)	Prec@1 59.500 (53.407)	Prec@5 85.500 (82.618)
Epoch: [63][3990/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.8567 (1.7571)	Prec@1 47.500 (53.408)	Prec@5 80.000 (82.619)
Epoch: [63][4000/9018]	Time 0.641 (0.624)	Data 0.001 (0.003)	Loss 1.6697 (1.7572)	Prec@1 52.500 (53.405)	Prec@5 81.000 (82.617)
Epoch: [63][4010/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.6904 (1.7572)	Prec@1 53.000 (53.404)	Prec@5 82.000 (82.616)
Epoch: [63][4020/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.6386 (1.7575)	Prec@1 57.500 (53.399)	Prec@5 83.000 (82.611)
Epoch: [63][4030/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.5962 (1.7576)	Prec@1 59.000 (53.399)	Prec@5 86.500 (82.610)
Epoch: [63][4040/9018]	Time 0.614 (0.624)	Data 0.014 (0.003)	Loss 1.7888 (1.7575)	Prec@1 49.000 (53.400)	Prec@5 84.000 (82.612)
Epoch: [63][4050/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.8049 (1.7576)	Prec@1 56.500 (53.402)	Prec@5 81.500 (82.609)
Epoch: [63][4060/9018]	Time 0.644 (0.624)	Data 0.001 (0.003)	Loss 1.9157 (1.7576)	Prec@1 53.500 (53.397)	Prec@5 78.000 (82.611)
Epoch: [63][4070/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.6518 (1.7576)	Prec@1 56.500 (53.399)	Prec@5 84.000 (82.610)
Epoch: [63][4080/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.7405 (1.7577)	Prec@1 52.500 (53.397)	Prec@5 84.000 (82.609)
Epoch: [63][4090/9018]	Time 0.605 (0.624)	Data 0.004 (0.003)	Loss 1.8080 (1.7578)	Prec@1 56.000 (53.395)	Prec@5 80.500 (82.606)
Epoch: [63][4100/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.7781 (1.7577)	Prec@1 56.500 (53.398)	Prec@5 79.000 (82.607)
Epoch: [63][4110/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.6439 (1.7577)	Prec@1 61.500 (53.404)	Prec@5 86.500 (82.607)
Epoch: [63][4120/9018]	Time 0.621 (0.624)	Data 0.016 (0.003)	Loss 1.6517 (1.7577)	Prec@1 55.500 (53.402)	Prec@5 86.000 (82.609)
Epoch: [63][4130/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.7474 (1.7576)	Prec@1 53.500 (53.405)	Prec@5 84.000 (82.611)
Epoch: [63][4140/9018]	Time 0.764 (0.624)	Data 0.001 (0.003)	Loss 1.7429 (1.7575)	Prec@1 54.500 (53.405)	Prec@5 81.000 (82.611)
Epoch: [63][4150/9018]	Time 0.632 (0.624)	Data 0.025 (0.003)	Loss 1.5455 (1.7575)	Prec@1 59.000 (53.407)	Prec@5 85.500 (82.609)
Epoch: [63][4160/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.9080 (1.7576)	Prec@1 50.000 (53.407)	Prec@5 80.000 (82.608)
Epoch: [63][4170/9018]	Time 0.652 (0.624)	Data 0.001 (0.003)	Loss 1.7519 (1.7574)	Prec@1 53.500 (53.408)	Prec@5 82.000 (82.608)
Epoch: [63][4180/9018]	Time 0.620 (0.624)	Data 0.016 (0.003)	Loss 1.9628 (1.7575)	Prec@1 48.500 (53.408)	Prec@5 82.500 (82.606)
Epoch: [63][4190/9018]	Time 0.772 (0.624)	Data 0.001 (0.003)	Loss 1.5527 (1.7575)	Prec@1 60.500 (53.409)	Prec@5 84.000 (82.606)
Epoch: [63][4200/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.7651 (1.7576)	Prec@1 55.500 (53.406)	Prec@5 79.500 (82.605)
Epoch: [63][4210/9018]	Time 0.610 (0.624)	Data 0.002 (0.003)	Loss 1.7062 (1.7576)	Prec@1 54.500 (53.409)	Prec@5 84.000 (82.606)
Epoch: [63][4220/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6667 (1.7577)	Prec@1 54.500 (53.406)	Prec@5 84.000 (82.604)
Epoch: [63][4230/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.6606 (1.7577)	Prec@1 54.500 (53.405)	Prec@5 86.500 (82.605)
Epoch: [63][4240/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.7870 (1.7578)	Prec@1 52.500 (53.400)	Prec@5 82.500 (82.602)
Epoch: [63][4250/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.6271 (1.7579)	Prec@1 57.000 (53.398)	Prec@5 84.000 (82.600)
Epoch: [63][4260/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.6086 (1.7578)	Prec@1 59.500 (53.398)	Prec@5 84.000 (82.603)
Epoch: [63][4270/9018]	Time 0.618 (0.624)	Data 0.002 (0.003)	Loss 1.5423 (1.7577)	Prec@1 56.500 (53.398)	Prec@5 86.500 (82.606)
Epoch: [63][4280/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.7658 (1.7577)	Prec@1 49.500 (53.394)	Prec@5 83.000 (82.608)
Epoch: [63][4290/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.6988 (1.7577)	Prec@1 54.500 (53.396)	Prec@5 84.000 (82.607)
Epoch: [63][4300/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.7008 (1.7576)	Prec@1 56.500 (53.398)	Prec@5 86.000 (82.611)
Epoch: [63][4310/9018]	Time 0.623 (0.624)	Data 0.014 (0.003)	Loss 1.8192 (1.7578)	Prec@1 51.000 (53.395)	Prec@5 83.000 (82.608)
Epoch: [63][4320/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.7010 (1.7578)	Prec@1 53.000 (53.392)	Prec@5 87.000 (82.607)
Epoch: [63][4330/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.8845 (1.7581)	Prec@1 46.500 (53.385)	Prec@5 82.000 (82.605)
Epoch: [63][4340/9018]	Time 0.621 (0.624)	Data 0.002 (0.003)	Loss 1.6633 (1.7580)	Prec@1 57.500 (53.386)	Prec@5 81.500 (82.605)
Epoch: [63][4350/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.7767 (1.7581)	Prec@1 51.000 (53.384)	Prec@5 82.000 (82.606)
Epoch: [63][4360/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.7594 (1.7582)	Prec@1 52.500 (53.381)	Prec@5 82.500 (82.605)
Epoch: [63][4370/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.7965 (1.7583)	Prec@1 48.500 (53.378)	Prec@5 82.500 (82.602)
Epoch: [63][4380/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.6253 (1.7583)	Prec@1 53.500 (53.379)	Prec@5 85.000 (82.600)
Epoch: [63][4390/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.6453 (1.7581)	Prec@1 60.000 (53.384)	Prec@5 84.000 (82.604)
Epoch: [63][4400/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.6956 (1.7581)	Prec@1 56.500 (53.381)	Prec@5 82.500 (82.606)
Epoch: [63][4410/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.6692 (1.7579)	Prec@1 57.500 (53.382)	Prec@5 84.500 (82.611)
Epoch: [63][4420/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.7488 (1.7579)	Prec@1 51.000 (53.381)	Prec@5 86.500 (82.612)
Epoch: [63][4430/9018]	Time 0.647 (0.624)	Data 0.001 (0.003)	Loss 1.5329 (1.7578)	Prec@1 58.500 (53.381)	Prec@5 88.500 (82.612)
Epoch: [63][4440/9018]	Time 0.645 (0.624)	Data 0.001 (0.003)	Loss 1.7855 (1.7578)	Prec@1 55.000 (53.381)	Prec@5 82.500 (82.610)
Epoch: [63][4450/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.8185 (1.7578)	Prec@1 52.500 (53.384)	Prec@5 81.000 (82.610)
Epoch: [63][4460/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.6402 (1.7577)	Prec@1 54.500 (53.383)	Prec@5 84.000 (82.610)
Epoch: [63][4470/9018]	Time 0.716 (0.624)	Data 0.001 (0.003)	Loss 1.9997 (1.7579)	Prec@1 46.500 (53.379)	Prec@5 76.500 (82.607)
Epoch: [63][4480/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.7056 (1.7577)	Prec@1 50.000 (53.381)	Prec@5 83.000 (82.609)
Epoch: [63][4490/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.5393 (1.7577)	Prec@1 56.500 (53.383)	Prec@5 86.000 (82.611)
Epoch: [63][4500/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.7788 (1.7576)	Prec@1 55.500 (53.385)	Prec@5 84.000 (82.613)
Epoch: [63][4510/9018]	Time 0.610 (0.624)	Data 0.015 (0.003)	Loss 1.7641 (1.7575)	Prec@1 50.000 (53.386)	Prec@5 82.500 (82.613)
Epoch: [63][4520/9018]	Time 0.721 (0.624)	Data 0.001 (0.003)	Loss 1.6496 (1.7574)	Prec@1 58.500 (53.390)	Prec@5 87.500 (82.616)
Epoch: [63][4530/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.7457 (1.7574)	Prec@1 49.500 (53.392)	Prec@5 84.500 (82.615)
Epoch: [63][4540/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.7433 (1.7574)	Prec@1 54.500 (53.392)	Prec@5 79.500 (82.613)
Epoch: [63][4550/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.6919 (1.7575)	Prec@1 54.500 (53.390)	Prec@5 85.500 (82.614)
Epoch: [63][4560/9018]	Time 0.613 (0.624)	Data 0.016 (0.003)	Loss 1.8401 (1.7576)	Prec@1 49.500 (53.385)	Prec@5 82.000 (82.611)
Epoch: [63][4570/9018]	Time 0.639 (0.624)	Data 0.001 (0.003)	Loss 1.7396 (1.7575)	Prec@1 56.000 (53.390)	Prec@5 81.000 (82.611)
Epoch: [63][4580/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.5755 (1.7575)	Prec@1 57.000 (53.391)	Prec@5 88.500 (82.611)
Epoch: [63][4590/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.5942 (1.7575)	Prec@1 55.500 (53.388)	Prec@5 85.000 (82.609)
Epoch: [63][4600/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.9133 (1.7576)	Prec@1 50.000 (53.387)	Prec@5 78.500 (82.606)
Epoch: [63][4610/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.8826 (1.7577)	Prec@1 53.000 (53.388)	Prec@5 84.000 (82.607)
Epoch: [63][4620/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.7031 (1.7575)	Prec@1 52.500 (53.391)	Prec@5 84.500 (82.608)
Epoch: [63][4630/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.7597 (1.7575)	Prec@1 59.500 (53.393)	Prec@5 80.000 (82.609)
Epoch: [63][4640/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.5744 (1.7575)	Prec@1 56.000 (53.392)	Prec@5 85.000 (82.609)
Epoch: [63][4650/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.8761 (1.7574)	Prec@1 53.500 (53.395)	Prec@5 81.000 (82.609)
Epoch: [63][4660/9018]	Time 0.617 (0.624)	Data 0.013 (0.003)	Loss 1.8163 (1.7574)	Prec@1 55.500 (53.394)	Prec@5 82.000 (82.607)
Epoch: [63][4670/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.7489 (1.7575)	Prec@1 55.500 (53.392)	Prec@5 84.500 (82.607)
Epoch: [63][4680/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.9135 (1.7577)	Prec@1 53.000 (53.386)	Prec@5 78.500 (82.601)
Epoch: [63][4690/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.7388 (1.7578)	Prec@1 56.000 (53.385)	Prec@5 81.000 (82.599)
Epoch: [63][4700/9018]	Time 0.655 (0.624)	Data 0.001 (0.003)	Loss 1.8943 (1.7578)	Prec@1 47.500 (53.383)	Prec@5 82.500 (82.599)
Epoch: [63][4710/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.7919 (1.7580)	Prec@1 50.500 (53.379)	Prec@5 83.000 (82.599)
Epoch: [63][4720/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.7213 (1.7581)	Prec@1 56.000 (53.377)	Prec@5 85.000 (82.596)
Epoch: [63][4730/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.8578 (1.7580)	Prec@1 55.000 (53.381)	Prec@5 80.000 (82.596)
Epoch: [63][4740/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.6079 (1.7580)	Prec@1 60.500 (53.381)	Prec@5 82.000 (82.595)
Epoch: [63][4750/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.6308 (1.7581)	Prec@1 56.000 (53.380)	Prec@5 84.500 (82.591)
Epoch: [63][4760/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.6327 (1.7581)	Prec@1 56.500 (53.378)	Prec@5 84.000 (82.590)
Epoch: [63][4770/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.8842 (1.7581)	Prec@1 48.500 (53.377)	Prec@5 80.000 (82.589)
Epoch: [63][4780/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.8277 (1.7581)	Prec@1 55.000 (53.377)	Prec@5 81.500 (82.589)
Epoch: [63][4790/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.6955 (1.7581)	Prec@1 54.500 (53.377)	Prec@5 83.000 (82.588)
Epoch: [63][4800/9018]	Time 0.749 (0.624)	Data 0.001 (0.003)	Loss 1.8241 (1.7580)	Prec@1 52.500 (53.381)	Prec@5 82.000 (82.589)
Epoch: [63][4810/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.8350 (1.7581)	Prec@1 52.000 (53.379)	Prec@5 79.500 (82.587)
Epoch: [63][4820/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.7140 (1.7581)	Prec@1 52.000 (53.377)	Prec@5 82.500 (82.585)
Epoch: [63][4830/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.7900 (1.7581)	Prec@1 55.000 (53.377)	Prec@5 81.500 (82.587)
Epoch: [63][4840/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.8024 (1.7581)	Prec@1 54.500 (53.380)	Prec@5 80.500 (82.587)
Epoch: [63][4850/9018]	Time 0.750 (0.624)	Data 0.001 (0.003)	Loss 1.6651 (1.7581)	Prec@1 58.500 (53.381)	Prec@5 83.000 (82.586)
Epoch: [63][4860/9018]	Time 0.589 (0.624)	Data 0.001 (0.003)	Loss 1.7773 (1.7582)	Prec@1 53.500 (53.377)	Prec@5 85.500 (82.587)
Epoch: [63][4870/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.6919 (1.7583)	Prec@1 56.500 (53.375)	Prec@5 78.000 (82.585)
Epoch: [63][4880/9018]	Time 0.619 (0.624)	Data 0.013 (0.003)	Loss 1.7547 (1.7582)	Prec@1 54.000 (53.377)	Prec@5 80.000 (82.585)
Epoch: [63][4890/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.7992 (1.7580)	Prec@1 52.000 (53.386)	Prec@5 83.000 (82.589)
Epoch: [63][4900/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.7199 (1.7580)	Prec@1 55.500 (53.387)	Prec@5 83.000 (82.589)
Epoch: [63][4910/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.4071 (1.7580)	Prec@1 61.500 (53.384)	Prec@5 86.500 (82.589)
Epoch: [63][4920/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.7798 (1.7579)	Prec@1 53.000 (53.388)	Prec@5 78.500 (82.589)
Epoch: [63][4930/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.8789 (1.7580)	Prec@1 48.000 (53.388)	Prec@5 81.000 (82.587)
Epoch: [63][4940/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.7392 (1.7578)	Prec@1 58.500 (53.394)	Prec@5 84.000 (82.590)
Epoch: [63][4950/9018]	Time 0.650 (0.624)	Data 0.001 (0.003)	Loss 1.9354 (1.7579)	Prec@1 50.000 (53.391)	Prec@5 80.000 (82.588)
Epoch: [63][4960/9018]	Time 0.613 (0.624)	Data 0.007 (0.003)	Loss 1.8261 (1.7580)	Prec@1 52.500 (53.388)	Prec@5 83.500 (82.588)
Epoch: [63][4970/9018]	Time 0.640 (0.624)	Data 0.014 (0.003)	Loss 1.7219 (1.7579)	Prec@1 52.500 (53.388)	Prec@5 84.500 (82.589)
Epoch: [63][4980/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.6738 (1.7579)	Prec@1 54.000 (53.390)	Prec@5 84.500 (82.589)
Epoch: [63][4990/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.6602 (1.7577)	Prec@1 52.000 (53.391)	Prec@5 84.500 (82.592)
Epoch: [63][5000/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.7624 (1.7577)	Prec@1 54.500 (53.392)	Prec@5 81.500 (82.593)
Epoch: [63][5010/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.7027 (1.7577)	Prec@1 53.500 (53.393)	Prec@5 83.000 (82.593)
Epoch: [63][5020/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 1.5152 (1.7577)	Prec@1 59.000 (53.392)	Prec@5 83.500 (82.592)
Epoch: [63][5030/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.7194 (1.7578)	Prec@1 51.500 (53.389)	Prec@5 86.500 (82.592)
Epoch: [63][5040/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.6120 (1.7578)	Prec@1 58.000 (53.387)	Prec@5 82.000 (82.593)
Epoch: [63][5050/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.6003 (1.7576)	Prec@1 58.000 (53.389)	Prec@5 87.000 (82.597)
Epoch: [63][5060/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.7194 (1.7577)	Prec@1 54.000 (53.386)	Prec@5 85.000 (82.593)
Epoch: [63][5070/9018]	Time 0.640 (0.624)	Data 0.017 (0.003)	Loss 1.6701 (1.7578)	Prec@1 57.000 (53.386)	Prec@5 85.500 (82.593)
Epoch: [63][5080/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.7011 (1.7578)	Prec@1 55.000 (53.384)	Prec@5 86.500 (82.593)
Epoch: [63][5090/9018]	Time 0.587 (0.624)	Data 0.001 (0.003)	Loss 1.8174 (1.7578)	Prec@1 47.000 (53.382)	Prec@5 82.000 (82.592)
Epoch: [63][5100/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.9379 (1.7578)	Prec@1 46.000 (53.384)	Prec@5 81.500 (82.593)
Epoch: [63][5110/9018]	Time 0.617 (0.624)	Data 0.008 (0.003)	Loss 1.7971 (1.7578)	Prec@1 50.000 (53.382)	Prec@5 80.000 (82.591)
Epoch: [63][5120/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.6128 (1.7578)	Prec@1 55.000 (53.382)	Prec@5 84.500 (82.591)
Epoch: [63][5130/9018]	Time 0.712 (0.624)	Data 0.001 (0.003)	Loss 1.9141 (1.7579)	Prec@1 53.000 (53.380)	Prec@5 82.500 (82.589)
Epoch: [63][5140/9018]	Time 0.624 (0.624)	Data 0.019 (0.003)	Loss 1.8177 (1.7579)	Prec@1 51.000 (53.379)	Prec@5 81.000 (82.590)
Epoch: [63][5150/9018]	Time 0.624 (0.624)	Data 0.002 (0.003)	Loss 1.9242 (1.7578)	Prec@1 53.000 (53.379)	Prec@5 79.500 (82.590)
Epoch: [63][5160/9018]	Time 0.654 (0.624)	Data 0.001 (0.003)	Loss 1.6933 (1.7578)	Prec@1 53.000 (53.379)	Prec@5 85.000 (82.588)
Epoch: [63][5170/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.8292 (1.7579)	Prec@1 53.000 (53.378)	Prec@5 81.000 (82.587)
Epoch: [63][5180/9018]	Time 0.780 (0.624)	Data 0.001 (0.003)	Loss 1.7479 (1.7578)	Prec@1 54.000 (53.380)	Prec@5 81.000 (82.588)
Epoch: [63][5190/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.8512 (1.7580)	Prec@1 52.000 (53.374)	Prec@5 82.500 (82.587)
Epoch: [63][5200/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.5993 (1.7580)	Prec@1 54.500 (53.371)	Prec@5 88.000 (82.588)
Epoch: [63][5210/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.9050 (1.7580)	Prec@1 47.500 (53.369)	Prec@5 79.500 (82.588)
Epoch: [63][5220/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.6929 (1.7580)	Prec@1 54.500 (53.369)	Prec@5 84.000 (82.589)
Epoch: [63][5230/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.7334 (1.7581)	Prec@1 49.500 (53.365)	Prec@5 86.000 (82.587)
Epoch: [63][5240/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.7438 (1.7580)	Prec@1 63.000 (53.370)	Prec@5 82.500 (82.587)
Epoch: [63][5250/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.6827 (1.7581)	Prec@1 57.000 (53.368)	Prec@5 85.500 (82.587)
Epoch: [63][5260/9018]	Time 0.593 (0.624)	Data 0.014 (0.003)	Loss 1.5881 (1.7583)	Prec@1 59.500 (53.366)	Prec@5 83.500 (82.583)
Epoch: [63][5270/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.6229 (1.7583)	Prec@1 57.000 (53.365)	Prec@5 84.000 (82.580)
Epoch: [63][5280/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.7865 (1.7581)	Prec@1 54.500 (53.369)	Prec@5 82.500 (82.584)
Epoch: [63][5290/9018]	Time 0.603 (0.624)	Data 0.003 (0.003)	Loss 2.0162 (1.7582)	Prec@1 53.500 (53.364)	Prec@5 77.500 (82.584)
Epoch: [63][5300/9018]	Time 0.608 (0.624)	Data 0.015 (0.003)	Loss 1.8120 (1.7584)	Prec@1 46.500 (53.360)	Prec@5 82.500 (82.582)
Epoch: [63][5310/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.6183 (1.7584)	Prec@1 59.500 (53.361)	Prec@5 85.000 (82.582)
Epoch: [63][5320/9018]	Time 0.642 (0.624)	Data 0.001 (0.003)	Loss 1.4591 (1.7582)	Prec@1 59.500 (53.364)	Prec@5 88.500 (82.585)
Epoch: [63][5330/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.6019 (1.7581)	Prec@1 59.000 (53.364)	Prec@5 88.000 (82.587)
Epoch: [63][5340/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.8261 (1.7581)	Prec@1 55.000 (53.365)	Prec@5 78.500 (82.585)
Epoch: [63][5350/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.8596 (1.7581)	Prec@1 52.500 (53.364)	Prec@5 81.000 (82.587)
Epoch: [63][5360/9018]	Time 0.630 (0.624)	Data 0.009 (0.003)	Loss 1.8396 (1.7581)	Prec@1 51.500 (53.366)	Prec@5 81.500 (82.586)
Epoch: [63][5370/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6849 (1.7580)	Prec@1 54.000 (53.365)	Prec@5 84.500 (82.585)
Epoch: [63][5380/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.8512 (1.7581)	Prec@1 57.000 (53.364)	Prec@5 79.500 (82.585)
Epoch: [63][5390/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.7931 (1.7580)	Prec@1 56.000 (53.364)	Prec@5 81.500 (82.585)
Epoch: [63][5400/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.7678 (1.7581)	Prec@1 51.500 (53.362)	Prec@5 81.000 (82.584)
Epoch: [63][5410/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.7220 (1.7582)	Prec@1 53.000 (53.360)	Prec@5 82.000 (82.585)
Epoch: [63][5420/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.8248 (1.7581)	Prec@1 54.500 (53.362)	Prec@5 82.500 (82.588)
Epoch: [63][5430/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.9553 (1.7580)	Prec@1 54.000 (53.363)	Prec@5 81.000 (82.588)
Epoch: [63][5440/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.5539 (1.7579)	Prec@1 56.000 (53.367)	Prec@5 87.500 (82.592)
Epoch: [63][5450/9018]	Time 0.614 (0.624)	Data 0.007 (0.003)	Loss 1.7830 (1.7580)	Prec@1 52.500 (53.366)	Prec@5 83.000 (82.590)
Epoch: [63][5460/9018]	Time 0.745 (0.624)	Data 0.001 (0.003)	Loss 1.9405 (1.7581)	Prec@1 48.500 (53.365)	Prec@5 77.500 (82.589)
Epoch: [63][5470/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.8481 (1.7581)	Prec@1 52.000 (53.364)	Prec@5 81.500 (82.588)
Epoch: [63][5480/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.6697 (1.7581)	Prec@1 61.000 (53.365)	Prec@5 83.500 (82.588)
Epoch: [63][5490/9018]	Time 0.607 (0.624)	Data 0.007 (0.003)	Loss 1.7131 (1.7582)	Prec@1 54.500 (53.367)	Prec@5 83.000 (82.589)
Epoch: [63][5500/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.4892 (1.7582)	Prec@1 59.500 (53.365)	Prec@5 85.500 (82.589)
Epoch: [63][5510/9018]	Time 0.759 (0.624)	Data 0.001 (0.003)	Loss 1.7646 (1.7582)	Prec@1 53.000 (53.365)	Prec@5 81.000 (82.589)
Epoch: [63][5520/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.8836 (1.7583)	Prec@1 53.500 (53.366)	Prec@5 82.500 (82.588)
Epoch: [63][5530/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.7676 (1.7583)	Prec@1 54.500 (53.369)	Prec@5 83.000 (82.587)
Epoch: [63][5540/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.7106 (1.7583)	Prec@1 52.500 (53.368)	Prec@5 87.000 (82.587)
Epoch: [63][5550/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.7539 (1.7584)	Prec@1 48.500 (53.366)	Prec@5 84.000 (82.586)
Epoch: [63][5560/9018]	Time 0.635 (0.624)	Data 0.001 (0.003)	Loss 1.5963 (1.7583)	Prec@1 55.500 (53.367)	Prec@5 83.500 (82.584)
Epoch: [63][5570/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.7287 (1.7583)	Prec@1 58.500 (53.370)	Prec@5 84.500 (82.583)
Epoch: [63][5580/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.7574 (1.7584)	Prec@1 51.500 (53.368)	Prec@5 80.500 (82.581)
Epoch: [63][5590/9018]	Time 0.629 (0.624)	Data 0.005 (0.003)	Loss 1.7874 (1.7584)	Prec@1 55.000 (53.369)	Prec@5 81.500 (82.579)
Epoch: [63][5600/9018]	Time 0.613 (0.624)	Data 0.014 (0.003)	Loss 1.7055 (1.7584)	Prec@1 58.500 (53.366)	Prec@5 80.000 (82.577)
Epoch: [63][5610/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.9323 (1.7584)	Prec@1 49.000 (53.368)	Prec@5 82.000 (82.579)
Epoch: [63][5620/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.8325 (1.7585)	Prec@1 53.500 (53.368)	Prec@5 81.000 (82.577)
Epoch: [63][5630/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.7058 (1.7585)	Prec@1 57.000 (53.368)	Prec@5 82.000 (82.576)
Epoch: [63][5640/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.9639 (1.7585)	Prec@1 49.500 (53.370)	Prec@5 75.500 (82.576)
Epoch: [63][5650/9018]	Time 0.590 (0.624)	Data 0.003 (0.003)	Loss 1.8645 (1.7584)	Prec@1 47.500 (53.372)	Prec@5 80.000 (82.578)
Epoch: [63][5660/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.5424 (1.7583)	Prec@1 58.500 (53.375)	Prec@5 84.500 (82.580)
Epoch: [63][5670/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.7782 (1.7583)	Prec@1 52.500 (53.376)	Prec@5 82.000 (82.581)
Epoch: [63][5680/9018]	Time 0.602 (0.624)	Data 0.009 (0.003)	Loss 1.7575 (1.7584)	Prec@1 54.000 (53.371)	Prec@5 81.500 (82.579)
Epoch: [63][5690/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.8640 (1.7583)	Prec@1 53.500 (53.373)	Prec@5 81.000 (82.581)
Epoch: [63][5700/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.7315 (1.7583)	Prec@1 50.500 (53.373)	Prec@5 82.500 (82.581)
Epoch: [63][5710/9018]	Time 0.604 (0.624)	Data 0.003 (0.003)	Loss 1.7276 (1.7583)	Prec@1 55.000 (53.373)	Prec@5 82.000 (82.580)
Epoch: [63][5720/9018]	Time 0.632 (0.624)	Data 0.001 (0.003)	Loss 1.6631 (1.7582)	Prec@1 52.500 (53.376)	Prec@5 85.000 (82.583)
Epoch: [63][5730/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.9138 (1.7583)	Prec@1 52.500 (53.374)	Prec@5 81.500 (82.582)
Epoch: [63][5740/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.8105 (1.7583)	Prec@1 56.500 (53.378)	Prec@5 85.000 (82.583)
Epoch: [63][5750/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.8517 (1.7582)	Prec@1 50.500 (53.379)	Prec@5 77.500 (82.584)
Epoch: [63][5760/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.8168 (1.7582)	Prec@1 52.500 (53.379)	Prec@5 80.500 (82.583)
Epoch: [63][5770/9018]	Time 0.627 (0.624)	Data 0.017 (0.003)	Loss 1.8857 (1.7583)	Prec@1 51.000 (53.377)	Prec@5 79.500 (82.582)
Epoch: [63][5780/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 2.0093 (1.7584)	Prec@1 49.000 (53.374)	Prec@5 78.000 (82.580)
Epoch: [63][5790/9018]	Time 0.791 (0.624)	Data 0.015 (0.003)	Loss 1.6533 (1.7584)	Prec@1 52.000 (53.374)	Prec@5 84.500 (82.580)
Epoch: [63][5800/9018]	Time 0.644 (0.624)	Data 0.001 (0.003)	Loss 1.8219 (1.7583)	Prec@1 50.500 (53.375)	Prec@5 83.000 (82.583)
Epoch: [63][5810/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.6289 (1.7583)	Prec@1 59.500 (53.378)	Prec@5 84.000 (82.582)
Epoch: [63][5820/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.8862 (1.7583)	Prec@1 53.500 (53.378)	Prec@5 80.500 (82.583)
Epoch: [63][5830/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.8204 (1.7584)	Prec@1 49.500 (53.378)	Prec@5 84.000 (82.583)
Epoch: [63][5840/9018]	Time 0.721 (0.624)	Data 0.001 (0.003)	Loss 1.6119 (1.7583)	Prec@1 57.000 (53.380)	Prec@5 85.500 (82.584)
Epoch: [63][5850/9018]	Time 0.633 (0.624)	Data 0.001 (0.003)	Loss 1.4836 (1.7582)	Prec@1 59.500 (53.381)	Prec@5 84.000 (82.582)
Epoch: [63][5860/9018]	Time 0.627 (0.624)	Data 0.014 (0.003)	Loss 1.8326 (1.7582)	Prec@1 52.500 (53.380)	Prec@5 79.500 (82.582)
Epoch: [63][5870/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.7874 (1.7583)	Prec@1 49.500 (53.379)	Prec@5 85.000 (82.583)
Epoch: [63][5880/9018]	Time 0.629 (0.624)	Data 0.015 (0.003)	Loss 1.8536 (1.7583)	Prec@1 50.000 (53.379)	Prec@5 81.500 (82.582)
Epoch: [63][5890/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.6607 (1.7583)	Prec@1 56.500 (53.380)	Prec@5 84.500 (82.581)
Epoch: [63][5900/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.4933 (1.7583)	Prec@1 63.000 (53.379)	Prec@5 85.000 (82.581)
Epoch: [63][5910/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.8617 (1.7582)	Prec@1 54.500 (53.379)	Prec@5 82.000 (82.581)
Epoch: [63][5920/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.8735 (1.7582)	Prec@1 51.000 (53.380)	Prec@5 85.000 (82.583)
Epoch: [63][5930/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.7713 (1.7582)	Prec@1 52.000 (53.380)	Prec@5 81.000 (82.582)
Epoch: [63][5940/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.6891 (1.7582)	Prec@1 53.500 (53.380)	Prec@5 82.500 (82.580)
Epoch: [63][5950/9018]	Time 0.648 (0.624)	Data 0.001 (0.003)	Loss 1.7329 (1.7582)	Prec@1 51.500 (53.382)	Prec@5 81.500 (82.581)
Epoch: [63][5960/9018]	Time 0.609 (0.624)	Data 0.007 (0.003)	Loss 2.0536 (1.7582)	Prec@1 47.000 (53.380)	Prec@5 80.000 (82.583)
Epoch: [63][5970/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.9346 (1.7582)	Prec@1 51.000 (53.380)	Prec@5 81.500 (82.584)
Epoch: [63][5980/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.8772 (1.7582)	Prec@1 51.500 (53.377)	Prec@5 79.500 (82.582)
Epoch: [63][5990/9018]	Time 0.645 (0.624)	Data 0.017 (0.003)	Loss 1.8501 (1.7583)	Prec@1 51.500 (53.376)	Prec@5 77.000 (82.581)
Epoch: [63][6000/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.9315 (1.7583)	Prec@1 49.000 (53.378)	Prec@5 78.500 (82.581)
Epoch: [63][6010/9018]	Time 0.608 (0.624)	Data 0.016 (0.003)	Loss 1.8789 (1.7582)	Prec@1 50.500 (53.378)	Prec@5 81.000 (82.581)
Epoch: [63][6020/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.6128 (1.7583)	Prec@1 55.000 (53.377)	Prec@5 86.000 (82.581)
Epoch: [63][6030/9018]	Time 0.639 (0.624)	Data 0.001 (0.003)	Loss 1.5922 (1.7581)	Prec@1 57.000 (53.379)	Prec@5 81.000 (82.582)
Epoch: [63][6040/9018]	Time 0.625 (0.624)	Data 0.003 (0.003)	Loss 1.7266 (1.7581)	Prec@1 58.000 (53.379)	Prec@5 81.000 (82.582)
Epoch: [63][6050/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 2.0126 (1.7581)	Prec@1 49.000 (53.380)	Prec@5 80.000 (82.583)
Epoch: [63][6060/9018]	Time 0.626 (0.624)	Data 0.015 (0.003)	Loss 1.7617 (1.7581)	Prec@1 57.000 (53.380)	Prec@5 80.500 (82.583)
Epoch: [63][6070/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.9653 (1.7581)	Prec@1 49.500 (53.382)	Prec@5 79.000 (82.583)
Epoch: [63][6080/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.7342 (1.7582)	Prec@1 55.000 (53.379)	Prec@5 85.000 (82.582)
Epoch: [63][6090/9018]	Time 0.614 (0.624)	Data 0.015 (0.003)	Loss 1.8610 (1.7582)	Prec@1 55.000 (53.377)	Prec@5 79.000 (82.582)
Epoch: [63][6100/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.8560 (1.7582)	Prec@1 52.000 (53.377)	Prec@5 80.000 (82.581)
Epoch: [63][6110/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6251 (1.7582)	Prec@1 55.000 (53.379)	Prec@5 81.000 (82.580)
Epoch: [63][6120/9018]	Time 0.730 (0.623)	Data 0.001 (0.003)	Loss 2.0572 (1.7583)	Prec@1 46.500 (53.376)	Prec@5 77.500 (82.579)
Epoch: [63][6130/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.6766 (1.7583)	Prec@1 46.000 (53.373)	Prec@5 85.000 (82.578)
Epoch: [63][6140/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7604 (1.7584)	Prec@1 52.000 (53.370)	Prec@5 81.000 (82.577)
Epoch: [63][6150/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.8818 (1.7586)	Prec@1 51.000 (53.366)	Prec@5 77.500 (82.575)
Epoch: [63][6160/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6865 (1.7586)	Prec@1 53.500 (53.365)	Prec@5 83.500 (82.575)
Epoch: [63][6170/9018]	Time 0.711 (0.623)	Data 0.001 (0.003)	Loss 1.8522 (1.7586)	Prec@1 54.500 (53.366)	Prec@5 80.000 (82.574)
Epoch: [63][6180/9018]	Time 0.654 (0.623)	Data 0.011 (0.003)	Loss 1.6619 (1.7586)	Prec@1 54.500 (53.366)	Prec@5 87.000 (82.574)
Epoch: [63][6190/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5279 (1.7585)	Prec@1 58.000 (53.368)	Prec@5 87.000 (82.575)
Epoch: [63][6200/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7704 (1.7585)	Prec@1 53.000 (53.368)	Prec@5 80.000 (82.575)
Epoch: [63][6210/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8195 (1.7586)	Prec@1 52.500 (53.365)	Prec@5 83.500 (82.573)
Epoch: [63][6220/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7577 (1.7585)	Prec@1 51.500 (53.366)	Prec@5 82.500 (82.573)
Epoch: [63][6230/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7271 (1.7586)	Prec@1 51.500 (53.365)	Prec@5 84.500 (82.573)
Epoch: [63][6240/9018]	Time 0.610 (0.623)	Data 0.013 (0.003)	Loss 1.7758 (1.7585)	Prec@1 51.500 (53.368)	Prec@5 80.000 (82.574)
Epoch: [63][6250/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8512 (1.7585)	Prec@1 54.500 (53.368)	Prec@5 80.500 (82.574)
Epoch: [63][6260/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7079 (1.7585)	Prec@1 55.000 (53.366)	Prec@5 83.000 (82.573)
Epoch: [63][6270/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.8739 (1.7585)	Prec@1 49.000 (53.365)	Prec@5 81.000 (82.573)
Epoch: [63][6280/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.4726 (1.7585)	Prec@1 58.500 (53.366)	Prec@5 88.000 (82.573)
Epoch: [63][6290/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.7498 (1.7585)	Prec@1 56.000 (53.368)	Prec@5 82.000 (82.573)
Epoch: [63][6300/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7769 (1.7584)	Prec@1 48.500 (53.369)	Prec@5 85.500 (82.575)
Epoch: [63][6310/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7959 (1.7585)	Prec@1 56.000 (53.368)	Prec@5 79.500 (82.573)
Epoch: [63][6320/9018]	Time 0.632 (0.623)	Data 0.016 (0.003)	Loss 1.8617 (1.7586)	Prec@1 49.500 (53.368)	Prec@5 81.000 (82.573)
Epoch: [63][6330/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7885 (1.7586)	Prec@1 51.500 (53.368)	Prec@5 83.000 (82.572)
Epoch: [63][6340/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.9713 (1.7587)	Prec@1 47.500 (53.369)	Prec@5 80.000 (82.571)
Epoch: [63][6350/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.6995 (1.7585)	Prec@1 54.500 (53.373)	Prec@5 81.000 (82.576)
Epoch: [63][6360/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.7618 (1.7584)	Prec@1 56.500 (53.375)	Prec@5 82.500 (82.578)
Epoch: [63][6370/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7922 (1.7584)	Prec@1 55.000 (53.376)	Prec@5 86.000 (82.580)
Epoch: [63][6380/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.4787 (1.7584)	Prec@1 61.000 (53.376)	Prec@5 86.000 (82.579)
Epoch: [63][6390/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.8337 (1.7584)	Prec@1 52.500 (53.377)	Prec@5 83.000 (82.580)
Epoch: [63][6400/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8124 (1.7584)	Prec@1 52.500 (53.376)	Prec@5 84.500 (82.581)
Epoch: [63][6410/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6077 (1.7585)	Prec@1 59.000 (53.375)	Prec@5 85.000 (82.581)
Epoch: [63][6420/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7870 (1.7585)	Prec@1 58.000 (53.377)	Prec@5 85.000 (82.583)
Epoch: [63][6430/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.9745 (1.7586)	Prec@1 48.000 (53.376)	Prec@5 79.500 (82.581)
Epoch: [63][6440/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8797 (1.7586)	Prec@1 52.000 (53.373)	Prec@5 79.500 (82.582)
Epoch: [63][6450/9018]	Time 0.768 (0.623)	Data 0.001 (0.003)	Loss 1.7653 (1.7585)	Prec@1 52.500 (53.374)	Prec@5 84.500 (82.583)
Epoch: [63][6460/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.7622 (1.7586)	Prec@1 55.000 (53.372)	Prec@5 83.500 (82.583)
Epoch: [63][6470/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.8286 (1.7585)	Prec@1 48.500 (53.370)	Prec@5 79.000 (82.584)
Epoch: [63][6480/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.5376 (1.7585)	Prec@1 61.500 (53.372)	Prec@5 86.500 (82.584)
Epoch: [63][6490/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.8291 (1.7585)	Prec@1 52.000 (53.371)	Prec@5 85.500 (82.584)
Epoch: [63][6500/9018]	Time 0.775 (0.623)	Data 0.001 (0.003)	Loss 1.6660 (1.7586)	Prec@1 53.000 (53.368)	Prec@5 84.500 (82.584)
Epoch: [63][6510/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7622 (1.7587)	Prec@1 55.500 (53.368)	Prec@5 81.500 (82.582)
Epoch: [63][6520/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6825 (1.7586)	Prec@1 54.500 (53.368)	Prec@5 85.500 (82.584)
Epoch: [63][6530/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7167 (1.7587)	Prec@1 56.000 (53.367)	Prec@5 82.500 (82.584)
Epoch: [63][6540/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6228 (1.7587)	Prec@1 51.500 (53.366)	Prec@5 85.500 (82.584)
Epoch: [63][6550/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7609 (1.7587)	Prec@1 51.000 (53.364)	Prec@5 83.500 (82.583)
Epoch: [63][6560/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.8711 (1.7588)	Prec@1 53.500 (53.359)	Prec@5 80.500 (82.581)
Epoch: [63][6570/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.8473 (1.7587)	Prec@1 48.500 (53.359)	Prec@5 81.500 (82.582)
Epoch: [63][6580/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.4105 (1.7585)	Prec@1 67.000 (53.362)	Prec@5 85.500 (82.585)
Epoch: [63][6590/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.9124 (1.7586)	Prec@1 48.500 (53.361)	Prec@5 81.000 (82.584)
Epoch: [63][6600/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6548 (1.7586)	Prec@1 57.000 (53.362)	Prec@5 82.000 (82.584)
Epoch: [63][6610/9018]	Time 0.618 (0.623)	Data 0.005 (0.003)	Loss 1.6940 (1.7585)	Prec@1 53.000 (53.363)	Prec@5 82.000 (82.584)
Epoch: [63][6620/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8461 (1.7586)	Prec@1 53.500 (53.363)	Prec@5 82.000 (82.584)
Epoch: [63][6630/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 2.0532 (1.7587)	Prec@1 49.000 (53.361)	Prec@5 78.000 (82.582)
Epoch: [63][6640/9018]	Time 0.604 (0.623)	Data 0.013 (0.003)	Loss 1.6111 (1.7587)	Prec@1 53.000 (53.360)	Prec@5 86.500 (82.581)
Epoch: [63][6650/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6086 (1.7587)	Prec@1 55.500 (53.362)	Prec@5 85.500 (82.581)
Epoch: [63][6660/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7349 (1.7587)	Prec@1 56.500 (53.364)	Prec@5 83.000 (82.582)
Epoch: [63][6670/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.7354 (1.7587)	Prec@1 53.000 (53.361)	Prec@5 84.000 (82.582)
Epoch: [63][6680/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6895 (1.7588)	Prec@1 51.000 (53.359)	Prec@5 85.000 (82.581)
Epoch: [63][6690/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7052 (1.7587)	Prec@1 57.000 (53.360)	Prec@5 81.500 (82.582)
Epoch: [63][6700/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6254 (1.7587)	Prec@1 59.000 (53.359)	Prec@5 87.500 (82.582)
Epoch: [63][6710/9018]	Time 0.602 (0.623)	Data 0.004 (0.003)	Loss 1.6130 (1.7586)	Prec@1 55.000 (53.363)	Prec@5 84.500 (82.585)
Epoch: [63][6720/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7249 (1.7586)	Prec@1 55.000 (53.363)	Prec@5 82.000 (82.584)
Epoch: [63][6730/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7621 (1.7586)	Prec@1 53.500 (53.363)	Prec@5 82.500 (82.585)
Epoch: [63][6740/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.8966 (1.7587)	Prec@1 49.500 (53.359)	Prec@5 81.000 (82.584)
Epoch: [63][6750/9018]	Time 0.625 (0.623)	Data 0.014 (0.003)	Loss 1.7852 (1.7587)	Prec@1 50.000 (53.360)	Prec@5 81.500 (82.584)
Epoch: [63][6760/9018]	Time 0.607 (0.623)	Data 0.017 (0.003)	Loss 1.6403 (1.7587)	Prec@1 60.000 (53.361)	Prec@5 87.500 (82.585)
Epoch: [63][6770/9018]	Time 0.613 (0.623)	Data 0.014 (0.003)	Loss 1.7866 (1.7586)	Prec@1 48.500 (53.362)	Prec@5 82.500 (82.585)
Epoch: [63][6780/9018]	Time 0.792 (0.623)	Data 0.016 (0.003)	Loss 1.5315 (1.7586)	Prec@1 59.000 (53.362)	Prec@5 88.500 (82.586)
Epoch: [63][6790/9018]	Time 0.607 (0.623)	Data 0.011 (0.003)	Loss 1.5654 (1.7585)	Prec@1 57.000 (53.361)	Prec@5 85.000 (82.586)
Epoch: [63][6800/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.9515 (1.7586)	Prec@1 47.000 (53.359)	Prec@5 81.000 (82.587)
Epoch: [63][6810/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.9018 (1.7586)	Prec@1 54.000 (53.359)	Prec@5 81.000 (82.588)
Epoch: [63][6820/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8314 (1.7585)	Prec@1 54.000 (53.359)	Prec@5 78.500 (82.588)
Epoch: [63][6830/9018]	Time 0.718 (0.623)	Data 0.001 (0.003)	Loss 1.6982 (1.7585)	Prec@1 54.000 (53.359)	Prec@5 85.000 (82.590)
Epoch: [63][6840/9018]	Time 0.623 (0.623)	Data 0.002 (0.003)	Loss 1.9347 (1.7586)	Prec@1 52.500 (53.358)	Prec@5 81.500 (82.589)
Epoch: [63][6850/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8789 (1.7586)	Prec@1 52.500 (53.359)	Prec@5 79.000 (82.590)
Epoch: [63][6860/9018]	Time 0.617 (0.623)	Data 0.015 (0.003)	Loss 1.8688 (1.7586)	Prec@1 53.500 (53.357)	Prec@5 82.500 (82.589)
Epoch: [63][6870/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7330 (1.7586)	Prec@1 53.500 (53.358)	Prec@5 84.500 (82.590)
Epoch: [63][6880/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7422 (1.7586)	Prec@1 54.500 (53.359)	Prec@5 82.500 (82.591)
Epoch: [63][6890/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7838 (1.7586)	Prec@1 52.500 (53.356)	Prec@5 85.000 (82.590)
Epoch: [63][6900/9018]	Time 0.610 (0.623)	Data 0.002 (0.003)	Loss 1.6769 (1.7586)	Prec@1 53.000 (53.355)	Prec@5 85.000 (82.591)
Epoch: [63][6910/9018]	Time 0.649 (0.623)	Data 0.001 (0.003)	Loss 1.5804 (1.7586)	Prec@1 54.000 (53.355)	Prec@5 87.500 (82.591)
Epoch: [63][6920/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6808 (1.7585)	Prec@1 58.000 (53.357)	Prec@5 84.000 (82.592)
Epoch: [63][6930/9018]	Time 0.628 (0.623)	Data 0.014 (0.003)	Loss 1.7036 (1.7586)	Prec@1 53.500 (53.356)	Prec@5 81.500 (82.591)
Epoch: [63][6940/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7638 (1.7586)	Prec@1 54.500 (53.355)	Prec@5 82.500 (82.591)
Epoch: [63][6950/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.9228 (1.7586)	Prec@1 50.500 (53.356)	Prec@5 82.000 (82.591)
Epoch: [63][6960/9018]	Time 0.609 (0.623)	Data 0.013 (0.003)	Loss 1.7495 (1.7586)	Prec@1 54.000 (53.356)	Prec@5 82.500 (82.591)
Epoch: [63][6970/9018]	Time 0.619 (0.623)	Data 0.002 (0.003)	Loss 1.7145 (1.7586)	Prec@1 56.500 (53.358)	Prec@5 81.000 (82.591)
Epoch: [63][6980/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7426 (1.7586)	Prec@1 54.000 (53.357)	Prec@5 84.500 (82.592)
Epoch: [63][6990/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7994 (1.7586)	Prec@1 50.500 (53.355)	Prec@5 82.500 (82.592)
Epoch: [63][7000/9018]	Time 0.612 (0.623)	Data 0.002 (0.003)	Loss 1.8534 (1.7587)	Prec@1 53.500 (53.353)	Prec@5 81.000 (82.592)
Epoch: [63][7010/9018]	Time 0.642 (0.623)	Data 0.017 (0.003)	Loss 1.7981 (1.7587)	Prec@1 52.000 (53.352)	Prec@5 83.000 (82.592)
Epoch: [63][7020/9018]	Time 0.600 (0.623)	Data 0.015 (0.003)	Loss 1.5590 (1.7586)	Prec@1 55.000 (53.354)	Prec@5 87.500 (82.594)
Epoch: [63][7030/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.5699 (1.7586)	Prec@1 60.500 (53.353)	Prec@5 87.500 (82.595)
Epoch: [63][7040/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.8061 (1.7586)	Prec@1 48.000 (53.352)	Prec@5 83.500 (82.594)
Epoch: [63][7050/9018]	Time 0.595 (0.623)	Data 0.012 (0.003)	Loss 1.9483 (1.7587)	Prec@1 47.500 (53.350)	Prec@5 79.000 (82.594)
Epoch: [63][7060/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7192 (1.7586)	Prec@1 52.500 (53.352)	Prec@5 80.000 (82.595)
Epoch: [63][7070/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.8550 (1.7586)	Prec@1 51.500 (53.353)	Prec@5 78.500 (82.595)
Epoch: [63][7080/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8056 (1.7585)	Prec@1 51.500 (53.353)	Prec@5 78.500 (82.595)
Epoch: [63][7090/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.5240 (1.7584)	Prec@1 57.000 (53.356)	Prec@5 86.500 (82.596)
Epoch: [63][7100/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8583 (1.7583)	Prec@1 53.000 (53.355)	Prec@5 79.000 (82.598)
Epoch: [63][7110/9018]	Time 0.738 (0.623)	Data 0.002 (0.003)	Loss 1.6970 (1.7583)	Prec@1 53.000 (53.356)	Prec@5 79.500 (82.599)
Epoch: [63][7120/9018]	Time 0.624 (0.623)	Data 0.007 (0.003)	Loss 1.5652 (1.7582)	Prec@1 57.500 (53.356)	Prec@5 83.500 (82.601)
Epoch: [63][7130/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.6537 (1.7582)	Prec@1 54.000 (53.354)	Prec@5 83.500 (82.601)
Epoch: [63][7140/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7003 (1.7582)	Prec@1 56.000 (53.357)	Prec@5 82.500 (82.601)
Epoch: [63][7150/9018]	Time 0.631 (0.623)	Data 0.017 (0.003)	Loss 1.7734 (1.7581)	Prec@1 50.000 (53.359)	Prec@5 85.500 (82.604)
Epoch: [63][7160/9018]	Time 0.753 (0.623)	Data 0.001 (0.003)	Loss 1.7895 (1.7582)	Prec@1 50.000 (53.355)	Prec@5 84.000 (82.602)
Epoch: [63][7170/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7751 (1.7583)	Prec@1 51.000 (53.354)	Prec@5 86.000 (82.603)
Epoch: [63][7180/9018]	Time 0.641 (0.623)	Data 0.016 (0.003)	Loss 1.7449 (1.7583)	Prec@1 53.000 (53.355)	Prec@5 82.500 (82.602)
Epoch: [63][7190/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6804 (1.7583)	Prec@1 55.500 (53.355)	Prec@5 84.000 (82.602)
Epoch: [63][7200/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8406 (1.7583)	Prec@1 54.000 (53.354)	Prec@5 80.000 (82.601)
Epoch: [63][7210/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.9863 (1.7584)	Prec@1 49.000 (53.352)	Prec@5 78.500 (82.600)
Epoch: [63][7220/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.7608 (1.7584)	Prec@1 54.000 (53.351)	Prec@5 82.500 (82.599)
Epoch: [63][7230/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 2.0082 (1.7584)	Prec@1 52.000 (53.349)	Prec@5 79.500 (82.599)
Epoch: [63][7240/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7887 (1.7584)	Prec@1 52.500 (53.350)	Prec@5 80.500 (82.600)
Epoch: [63][7250/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7870 (1.7584)	Prec@1 53.000 (53.349)	Prec@5 82.000 (82.599)
Epoch: [63][7260/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.7514 (1.7584)	Prec@1 57.500 (53.350)	Prec@5 84.000 (82.600)
Epoch: [63][7270/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8300 (1.7584)	Prec@1 52.500 (53.351)	Prec@5 82.000 (82.600)
Epoch: [63][7280/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6845 (1.7584)	Prec@1 53.500 (53.350)	Prec@5 84.500 (82.600)
Epoch: [63][7290/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.8692 (1.7584)	Prec@1 51.000 (53.350)	Prec@5 81.000 (82.599)
Epoch: [63][7300/9018]	Time 0.652 (0.623)	Data 0.001 (0.003)	Loss 1.6911 (1.7583)	Prec@1 58.500 (53.353)	Prec@5 82.500 (82.600)
Epoch: [63][7310/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7757 (1.7583)	Prec@1 55.500 (53.355)	Prec@5 81.000 (82.600)
Epoch: [63][7320/9018]	Time 0.597 (0.623)	Data 0.002 (0.003)	Loss 1.7694 (1.7583)	Prec@1 53.500 (53.353)	Prec@5 82.000 (82.600)
Epoch: [63][7330/9018]	Time 0.620 (0.623)	Data 0.016 (0.003)	Loss 1.8516 (1.7583)	Prec@1 49.500 (53.353)	Prec@5 80.000 (82.600)
Epoch: [63][7340/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.8854 (1.7584)	Prec@1 45.000 (53.352)	Prec@5 82.500 (82.599)
Epoch: [63][7350/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.6245 (1.7584)	Prec@1 56.000 (53.352)	Prec@5 86.000 (82.598)
Epoch: [63][7360/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7829 (1.7585)	Prec@1 54.500 (53.352)	Prec@5 82.500 (82.595)
Epoch: [63][7370/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.6318 (1.7585)	Prec@1 57.500 (53.351)	Prec@5 85.500 (82.594)
Epoch: [63][7380/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7130 (1.7585)	Prec@1 55.000 (53.353)	Prec@5 82.000 (82.594)
Epoch: [63][7390/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6937 (1.7585)	Prec@1 52.000 (53.352)	Prec@5 82.000 (82.595)
Epoch: [63][7400/9018]	Time 0.616 (0.623)	Data 0.006 (0.003)	Loss 1.7063 (1.7585)	Prec@1 53.000 (53.351)	Prec@5 81.000 (82.594)
Epoch: [63][7410/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.6118 (1.7585)	Prec@1 54.000 (53.349)	Prec@5 84.500 (82.595)
Epoch: [63][7420/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7968 (1.7585)	Prec@1 51.000 (53.350)	Prec@5 81.000 (82.593)
Epoch: [63][7430/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.5150 (1.7584)	Prec@1 57.000 (53.352)	Prec@5 87.500 (82.595)
Epoch: [63][7440/9018]	Time 0.731 (0.623)	Data 0.001 (0.003)	Loss 1.7235 (1.7584)	Prec@1 54.000 (53.355)	Prec@5 82.000 (82.595)
Epoch: [63][7450/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7955 (1.7584)	Prec@1 49.000 (53.352)	Prec@5 79.000 (82.593)
Epoch: [63][7460/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.6477 (1.7585)	Prec@1 56.000 (53.349)	Prec@5 83.000 (82.592)
Epoch: [63][7470/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7121 (1.7585)	Prec@1 52.000 (53.348)	Prec@5 85.500 (82.592)
Epoch: [63][7480/9018]	Time 0.612 (0.623)	Data 0.008 (0.003)	Loss 2.1236 (1.7585)	Prec@1 50.000 (53.349)	Prec@5 78.000 (82.593)
Epoch: [63][7490/9018]	Time 0.814 (0.623)	Data 0.015 (0.003)	Loss 1.9019 (1.7585)	Prec@1 50.000 (53.347)	Prec@5 79.500 (82.594)
Epoch: [63][7500/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7717 (1.7585)	Prec@1 56.000 (53.348)	Prec@5 80.500 (82.593)
Epoch: [63][7510/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6582 (1.7585)	Prec@1 52.500 (53.348)	Prec@5 82.500 (82.594)
Epoch: [63][7520/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.9401 (1.7585)	Prec@1 51.000 (53.349)	Prec@5 80.000 (82.594)
Epoch: [63][7530/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.5990 (1.7585)	Prec@1 55.500 (53.348)	Prec@5 84.500 (82.594)
Epoch: [63][7540/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.8330 (1.7585)	Prec@1 53.000 (53.350)	Prec@5 80.500 (82.594)
Epoch: [63][7550/9018]	Time 0.601 (0.623)	Data 0.007 (0.003)	Loss 1.6549 (1.7584)	Prec@1 56.500 (53.353)	Prec@5 85.500 (82.595)
Epoch: [63][7560/9018]	Time 0.629 (0.623)	Data 0.015 (0.003)	Loss 1.7406 (1.7584)	Prec@1 57.000 (53.355)	Prec@5 79.500 (82.594)
Epoch: [63][7570/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6154 (1.7584)	Prec@1 57.500 (53.356)	Prec@5 84.000 (82.593)
Epoch: [63][7580/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8482 (1.7583)	Prec@1 49.500 (53.358)	Prec@5 81.000 (82.594)
Epoch: [63][7590/9018]	Time 0.641 (0.623)	Data 0.005 (0.003)	Loss 1.6561 (1.7583)	Prec@1 53.500 (53.359)	Prec@5 87.000 (82.595)
Epoch: [63][7600/9018]	Time 0.620 (0.623)	Data 0.015 (0.003)	Loss 1.8378 (1.7583)	Prec@1 51.500 (53.358)	Prec@5 82.000 (82.594)
Epoch: [63][7610/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.9332 (1.7583)	Prec@1 48.000 (53.357)	Prec@5 80.000 (82.594)
Epoch: [63][7620/9018]	Time 0.612 (0.623)	Data 0.002 (0.003)	Loss 1.7163 (1.7584)	Prec@1 51.500 (53.355)	Prec@5 84.000 (82.592)
Epoch: [63][7630/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.8106 (1.7584)	Prec@1 53.000 (53.352)	Prec@5 82.000 (82.592)
Epoch: [63][7640/9018]	Time 0.615 (0.623)	Data 0.022 (0.003)	Loss 1.7362 (1.7584)	Prec@1 50.500 (53.351)	Prec@5 84.000 (82.593)
Epoch: [63][7650/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7757 (1.7584)	Prec@1 56.500 (53.353)	Prec@5 81.000 (82.592)
Epoch: [63][7660/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7001 (1.7584)	Prec@1 54.000 (53.352)	Prec@5 83.500 (82.593)
Epoch: [63][7670/9018]	Time 0.616 (0.623)	Data 0.017 (0.003)	Loss 1.9613 (1.7585)	Prec@1 50.500 (53.351)	Prec@5 79.000 (82.591)
Epoch: [63][7680/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.8044 (1.7585)	Prec@1 56.000 (53.350)	Prec@5 81.500 (82.591)
Epoch: [63][7690/9018]	Time 0.625 (0.623)	Data 0.016 (0.003)	Loss 1.8025 (1.7586)	Prec@1 54.000 (53.348)	Prec@5 81.500 (82.590)
Epoch: [63][7700/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6570 (1.7586)	Prec@1 52.500 (53.346)	Prec@5 87.500 (82.589)
Epoch: [63][7710/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6866 (1.7586)	Prec@1 52.500 (53.346)	Prec@5 86.000 (82.589)
Epoch: [63][7720/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.7367 (1.7586)	Prec@1 51.500 (53.346)	Prec@5 84.500 (82.590)
Epoch: [63][7730/9018]	Time 0.623 (0.623)	Data 0.017 (0.003)	Loss 1.9137 (1.7586)	Prec@1 46.500 (53.345)	Prec@5 78.500 (82.589)
Epoch: [63][7740/9018]	Time 0.618 (0.623)	Data 0.026 (0.003)	Loss 1.8056 (1.7585)	Prec@1 50.000 (53.346)	Prec@5 80.000 (82.590)
Epoch: [63][7750/9018]	Time 0.617 (0.623)	Data 0.008 (0.003)	Loss 1.6967 (1.7585)	Prec@1 57.000 (53.347)	Prec@5 83.000 (82.592)
Epoch: [63][7760/9018]	Time 0.628 (0.623)	Data 0.017 (0.003)	Loss 1.6764 (1.7585)	Prec@1 54.500 (53.347)	Prec@5 85.000 (82.593)
Epoch: [63][7770/9018]	Time 0.748 (0.623)	Data 0.001 (0.003)	Loss 1.6278 (1.7584)	Prec@1 55.000 (53.350)	Prec@5 85.500 (82.594)
Epoch: [63][7780/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.7016 (1.7583)	Prec@1 58.500 (53.351)	Prec@5 79.500 (82.596)
Epoch: [63][7790/9018]	Time 0.614 (0.623)	Data 0.005 (0.003)	Loss 1.8410 (1.7584)	Prec@1 51.000 (53.350)	Prec@5 80.500 (82.596)
Epoch: [63][7800/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6950 (1.7583)	Prec@1 51.500 (53.350)	Prec@5 83.500 (82.599)
Epoch: [63][7810/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.7043 (1.7583)	Prec@1 50.500 (53.348)	Prec@5 83.500 (82.599)
Epoch: [63][7820/9018]	Time 0.754 (0.623)	Data 0.001 (0.003)	Loss 1.9335 (1.7584)	Prec@1 52.000 (53.348)	Prec@5 81.500 (82.597)
Epoch: [63][7830/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8863 (1.7585)	Prec@1 49.500 (53.346)	Prec@5 80.000 (82.596)
Epoch: [63][7840/9018]	Time 0.651 (0.623)	Data 0.001 (0.003)	Loss 1.7332 (1.7585)	Prec@1 50.000 (53.346)	Prec@5 83.000 (82.594)
Epoch: [63][7850/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.9477 (1.7585)	Prec@1 47.500 (53.345)	Prec@5 79.500 (82.594)
Epoch: [63][7860/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8830 (1.7585)	Prec@1 54.500 (53.345)	Prec@5 79.500 (82.594)
Epoch: [63][7870/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7177 (1.7585)	Prec@1 52.500 (53.344)	Prec@5 84.000 (82.594)
Epoch: [63][7880/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.8338 (1.7585)	Prec@1 51.000 (53.346)	Prec@5 82.500 (82.595)
Epoch: [63][7890/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6330 (1.7585)	Prec@1 57.000 (53.346)	Prec@5 85.500 (82.596)
Epoch: [63][7900/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7279 (1.7586)	Prec@1 50.500 (53.345)	Prec@5 84.000 (82.594)
Epoch: [63][7910/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8257 (1.7586)	Prec@1 53.500 (53.345)	Prec@5 83.000 (82.593)
Epoch: [63][7920/9018]	Time 0.613 (0.623)	Data 0.010 (0.003)	Loss 1.5938 (1.7585)	Prec@1 57.000 (53.345)	Prec@5 84.500 (82.594)
Epoch: [63][7930/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7987 (1.7586)	Prec@1 50.500 (53.344)	Prec@5 80.000 (82.595)
Epoch: [63][7940/9018]	Time 0.605 (0.623)	Data 0.014 (0.003)	Loss 1.7649 (1.7586)	Prec@1 51.500 (53.342)	Prec@5 82.000 (82.594)
Epoch: [63][7950/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6675 (1.7586)	Prec@1 57.000 (53.341)	Prec@5 84.000 (82.595)
Epoch: [63][7960/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 2.0103 (1.7587)	Prec@1 45.500 (53.339)	Prec@5 77.000 (82.594)
Epoch: [63][7970/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.9588 (1.7587)	Prec@1 46.000 (53.340)	Prec@5 84.000 (82.594)
Epoch: [63][7980/9018]	Time 0.610 (0.623)	Data 0.015 (0.003)	Loss 1.7190 (1.7587)	Prec@1 50.000 (53.339)	Prec@5 85.000 (82.595)
Epoch: [63][7990/9018]	Time 0.622 (0.623)	Data 0.007 (0.003)	Loss 1.8832 (1.7588)	Prec@1 49.000 (53.337)	Prec@5 83.000 (82.594)
Epoch: [63][8000/9018]	Time 0.614 (0.623)	Data 0.014 (0.003)	Loss 1.9013 (1.7587)	Prec@1 48.500 (53.338)	Prec@5 79.500 (82.595)
Epoch: [63][8010/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7603 (1.7588)	Prec@1 54.500 (53.338)	Prec@5 82.000 (82.596)
Epoch: [63][8020/9018]	Time 0.645 (0.623)	Data 0.001 (0.003)	Loss 1.9224 (1.7587)	Prec@1 49.500 (53.339)	Prec@5 81.500 (82.598)
Epoch: [63][8030/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.7464 (1.7587)	Prec@1 48.500 (53.338)	Prec@5 84.000 (82.598)
Epoch: [63][8040/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6361 (1.7587)	Prec@1 56.500 (53.337)	Prec@5 85.500 (82.597)
Epoch: [63][8050/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7708 (1.7588)	Prec@1 54.000 (53.337)	Prec@5 83.500 (82.597)
Epoch: [63][8060/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7256 (1.7588)	Prec@1 50.500 (53.337)	Prec@5 82.500 (82.597)
Epoch: [63][8070/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7962 (1.7588)	Prec@1 49.000 (53.336)	Prec@5 84.500 (82.597)
Epoch: [63][8080/9018]	Time 0.658 (0.623)	Data 0.001 (0.003)	Loss 1.8303 (1.7588)	Prec@1 51.000 (53.336)	Prec@5 83.500 (82.597)
Epoch: [63][8090/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8055 (1.7588)	Prec@1 55.000 (53.334)	Prec@5 81.000 (82.597)
Epoch: [63][8100/9018]	Time 0.783 (0.623)	Data 0.001 (0.003)	Loss 1.7478 (1.7588)	Prec@1 57.000 (53.336)	Prec@5 79.500 (82.597)
Epoch: [63][8110/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7337 (1.7588)	Prec@1 55.000 (53.337)	Prec@5 83.000 (82.597)
Epoch: [63][8120/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8200 (1.7587)	Prec@1 50.000 (53.337)	Prec@5 81.500 (82.599)
Epoch: [63][8130/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.9907 (1.7587)	Prec@1 46.500 (53.337)	Prec@5 80.500 (82.599)
Epoch: [63][8140/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7273 (1.7586)	Prec@1 53.000 (53.337)	Prec@5 82.500 (82.600)
Epoch: [63][8150/9018]	Time 0.755 (0.623)	Data 0.016 (0.003)	Loss 1.6548 (1.7587)	Prec@1 56.500 (53.334)	Prec@5 83.000 (82.600)
Epoch: [63][8160/9018]	Time 0.609 (0.623)	Data 0.024 (0.003)	Loss 1.8561 (1.7587)	Prec@1 49.500 (53.333)	Prec@5 83.500 (82.600)
Epoch: [63][8170/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.9399 (1.7587)	Prec@1 48.500 (53.334)	Prec@5 79.500 (82.600)
Epoch: [63][8180/9018]	Time 0.617 (0.623)	Data 0.002 (0.003)	Loss 1.7647 (1.7587)	Prec@1 57.000 (53.335)	Prec@5 82.000 (82.601)
Epoch: [63][8190/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.5889 (1.7586)	Prec@1 61.500 (53.339)	Prec@5 86.000 (82.602)
Epoch: [63][8200/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.8912 (1.7586)	Prec@1 55.500 (53.339)	Prec@5 77.000 (82.602)
Epoch: [63][8210/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6350 (1.7586)	Prec@1 56.500 (53.339)	Prec@5 87.000 (82.601)
Epoch: [63][8220/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7736 (1.7586)	Prec@1 50.000 (53.340)	Prec@5 84.500 (82.602)
Epoch: [63][8230/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6897 (1.7586)	Prec@1 55.000 (53.342)	Prec@5 84.000 (82.601)
Epoch: [63][8240/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6540 (1.7586)	Prec@1 60.500 (53.340)	Prec@5 83.000 (82.602)
Epoch: [63][8250/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6945 (1.7586)	Prec@1 56.500 (53.341)	Prec@5 83.000 (82.601)
Epoch: [63][8260/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6383 (1.7586)	Prec@1 56.000 (53.342)	Prec@5 84.500 (82.601)
Epoch: [63][8270/9018]	Time 0.659 (0.623)	Data 0.001 (0.003)	Loss 1.8044 (1.7585)	Prec@1 54.000 (53.343)	Prec@5 83.000 (82.602)
Epoch: [63][8280/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.9021 (1.7585)	Prec@1 48.000 (53.343)	Prec@5 79.000 (82.603)
Epoch: [63][8290/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.5489 (1.7586)	Prec@1 57.000 (53.342)	Prec@5 86.000 (82.602)
Epoch: [63][8300/9018]	Time 0.612 (0.623)	Data 0.002 (0.003)	Loss 1.9221 (1.7586)	Prec@1 51.000 (53.343)	Prec@5 80.000 (82.602)
Epoch: [63][8310/9018]	Time 0.597 (0.623)	Data 0.008 (0.003)	Loss 1.8803 (1.7587)	Prec@1 53.000 (53.341)	Prec@5 79.500 (82.600)
Epoch: [63][8320/9018]	Time 0.628 (0.623)	Data 0.016 (0.003)	Loss 1.6115 (1.7586)	Prec@1 61.500 (53.343)	Prec@5 85.000 (82.602)
Epoch: [63][8330/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7972 (1.7586)	Prec@1 50.500 (53.342)	Prec@5 80.500 (82.601)
Epoch: [63][8340/9018]	Time 0.634 (0.623)	Data 0.016 (0.003)	Loss 1.7987 (1.7586)	Prec@1 50.500 (53.339)	Prec@5 83.000 (82.601)
Epoch: [63][8350/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8731 (1.7586)	Prec@1 48.500 (53.342)	Prec@5 81.000 (82.601)
Epoch: [63][8360/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.8673 (1.7585)	Prec@1 49.500 (53.343)	Prec@5 80.000 (82.602)
Epoch: [63][8370/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6418 (1.7586)	Prec@1 60.000 (53.343)	Prec@5 82.500 (82.601)
Epoch: [63][8380/9018]	Time 0.720 (0.623)	Data 0.001 (0.003)	Loss 1.7548 (1.7586)	Prec@1 51.500 (53.339)	Prec@5 83.500 (82.601)
Epoch: [63][8390/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.7215 (1.7587)	Prec@1 55.000 (53.339)	Prec@5 82.000 (82.600)
Epoch: [63][8400/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7499 (1.7586)	Prec@1 54.000 (53.340)	Prec@5 83.500 (82.601)
Epoch: [63][8410/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.8358 (1.7586)	Prec@1 53.500 (53.341)	Prec@5 79.000 (82.600)
Epoch: [63][8420/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8563 (1.7586)	Prec@1 45.000 (53.339)	Prec@5 82.500 (82.600)
Epoch: [63][8430/9018]	Time 0.752 (0.623)	Data 0.001 (0.003)	Loss 1.9614 (1.7585)	Prec@1 47.000 (53.341)	Prec@5 79.500 (82.600)
Epoch: [63][8440/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8575 (1.7585)	Prec@1 50.500 (53.342)	Prec@5 82.500 (82.600)
Epoch: [63][8450/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8813 (1.7585)	Prec@1 46.500 (53.343)	Prec@5 81.500 (82.602)
Epoch: [63][8460/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.9125 (1.7585)	Prec@1 55.000 (53.343)	Prec@5 80.000 (82.601)
Epoch: [63][8470/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7817 (1.7585)	Prec@1 54.500 (53.343)	Prec@5 83.000 (82.600)
Epoch: [63][8480/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.6641 (1.7585)	Prec@1 52.500 (53.343)	Prec@5 85.000 (82.600)
Epoch: [63][8490/9018]	Time 0.647 (0.623)	Data 0.001 (0.003)	Loss 1.8777 (1.7585)	Prec@1 50.000 (53.342)	Prec@5 80.500 (82.600)
Epoch: [63][8500/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7827 (1.7584)	Prec@1 58.000 (53.344)	Prec@5 82.000 (82.601)
Epoch: [63][8510/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 2.0183 (1.7585)	Prec@1 50.500 (53.344)	Prec@5 80.000 (82.602)
Epoch: [63][8520/9018]	Time 0.607 (0.623)	Data 0.017 (0.003)	Loss 1.8986 (1.7585)	Prec@1 48.500 (53.344)	Prec@5 79.000 (82.602)
Epoch: [63][8530/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6911 (1.7584)	Prec@1 51.000 (53.344)	Prec@5 82.000 (82.602)
Epoch: [63][8540/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.9947 (1.7585)	Prec@1 47.000 (53.342)	Prec@5 79.000 (82.602)
Epoch: [63][8550/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7364 (1.7585)	Prec@1 54.000 (53.343)	Prec@5 82.000 (82.603)
Epoch: [63][8560/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.8956 (1.7585)	Prec@1 50.000 (53.342)	Prec@5 80.500 (82.603)
Epoch: [63][8570/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.6494 (1.7586)	Prec@1 56.000 (53.342)	Prec@5 83.500 (82.601)
Epoch: [63][8580/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8478 (1.7586)	Prec@1 54.000 (53.342)	Prec@5 82.000 (82.601)
Epoch: [63][8590/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8427 (1.7585)	Prec@1 51.500 (53.342)	Prec@5 80.500 (82.602)
Epoch: [63][8600/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.9073 (1.7585)	Prec@1 44.500 (53.342)	Prec@5 79.000 (82.602)
Epoch: [63][8610/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.6923 (1.7585)	Prec@1 51.500 (53.342)	Prec@5 83.000 (82.602)
Epoch: [63][8620/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.6958 (1.7585)	Prec@1 55.000 (53.341)	Prec@5 85.000 (82.602)
Epoch: [63][8630/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.9017 (1.7586)	Prec@1 47.500 (53.341)	Prec@5 80.500 (82.602)
Epoch: [63][8640/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6169 (1.7586)	Prec@1 56.500 (53.340)	Prec@5 81.000 (82.601)
Epoch: [63][8650/9018]	Time 0.656 (0.623)	Data 0.001 (0.003)	Loss 1.6785 (1.7586)	Prec@1 52.500 (53.339)	Prec@5 83.500 (82.602)
Epoch: [63][8660/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.5684 (1.7586)	Prec@1 61.000 (53.342)	Prec@5 85.000 (82.600)
Epoch: [63][8670/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6350 (1.7586)	Prec@1 54.000 (53.341)	Prec@5 86.500 (82.600)
Epoch: [63][8680/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.6922 (1.7586)	Prec@1 54.000 (53.341)	Prec@5 82.500 (82.599)
Epoch: [63][8690/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 2.0884 (1.7586)	Prec@1 47.500 (53.341)	Prec@5 75.500 (82.600)
Epoch: [63][8700/9018]	Time 0.626 (0.623)	Data 0.016 (0.003)	Loss 1.7497 (1.7585)	Prec@1 46.500 (53.342)	Prec@5 81.500 (82.599)
Epoch: [63][8710/9018]	Time 0.766 (0.623)	Data 0.001 (0.003)	Loss 1.7646 (1.7585)	Prec@1 56.000 (53.341)	Prec@5 82.500 (82.599)
Epoch: [63][8720/9018]	Time 0.644 (0.623)	Data 0.001 (0.003)	Loss 1.7387 (1.7585)	Prec@1 54.000 (53.341)	Prec@5 84.000 (82.600)
Epoch: [63][8730/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7887 (1.7585)	Prec@1 49.000 (53.339)	Prec@5 85.000 (82.602)
Epoch: [63][8740/9018]	Time 0.638 (0.623)	Data 0.008 (0.003)	Loss 1.7221 (1.7585)	Prec@1 52.000 (53.339)	Prec@5 80.000 (82.602)
Epoch: [63][8750/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.8271 (1.7585)	Prec@1 50.000 (53.340)	Prec@5 82.500 (82.604)
Epoch: [63][8760/9018]	Time 0.722 (0.623)	Data 0.001 (0.003)	Loss 2.0279 (1.7585)	Prec@1 56.000 (53.340)	Prec@5 75.500 (82.603)
Epoch: [63][8770/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8432 (1.7586)	Prec@1 55.000 (53.341)	Prec@5 83.000 (82.602)
Epoch: [63][8780/9018]	Time 0.598 (0.623)	Data 0.017 (0.003)	Loss 1.8610 (1.7586)	Prec@1 51.500 (53.339)	Prec@5 80.500 (82.602)
Epoch: [63][8790/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8844 (1.7586)	Prec@1 52.000 (53.340)	Prec@5 77.500 (82.602)
Epoch: [63][8800/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.6850 (1.7586)	Prec@1 61.000 (53.340)	Prec@5 84.000 (82.602)
Epoch: [63][8810/9018]	Time 0.597 (0.623)	Data 0.002 (0.003)	Loss 1.7546 (1.7586)	Prec@1 53.500 (53.338)	Prec@5 82.000 (82.602)
Epoch: [63][8820/9018]	Time 0.617 (0.623)	Data 0.007 (0.003)	Loss 1.7116 (1.7586)	Prec@1 56.500 (53.338)	Prec@5 85.000 (82.601)
Epoch: [63][8830/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.9927 (1.7587)	Prec@1 43.500 (53.338)	Prec@5 80.500 (82.601)
Epoch: [63][8840/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.4269 (1.7587)	Prec@1 56.000 (53.337)	Prec@5 88.000 (82.600)
Epoch: [63][8850/9018]	Time 0.644 (0.623)	Data 0.001 (0.003)	Loss 1.6689 (1.7587)	Prec@1 52.500 (53.337)	Prec@5 86.500 (82.600)
Epoch: [63][8860/9018]	Time 0.601 (0.623)	Data 0.014 (0.003)	Loss 1.8575 (1.7589)	Prec@1 52.000 (53.333)	Prec@5 81.000 (82.599)
Epoch: [63][8870/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.9340 (1.7589)	Prec@1 53.000 (53.333)	Prec@5 78.000 (82.598)
Epoch: [63][8880/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6687 (1.7589)	Prec@1 57.500 (53.332)	Prec@5 83.000 (82.598)
Epoch: [63][8890/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.6858 (1.7588)	Prec@1 53.000 (53.333)	Prec@5 84.500 (82.599)
Epoch: [63][8900/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.9931 (1.7589)	Prec@1 53.500 (53.332)	Prec@5 77.500 (82.599)
Epoch: [63][8910/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7945 (1.7589)	Prec@1 51.500 (53.333)	Prec@5 82.000 (82.598)
Epoch: [63][8920/9018]	Time 0.627 (0.623)	Data 0.004 (0.003)	Loss 1.8563 (1.7590)	Prec@1 51.000 (53.331)	Prec@5 79.500 (82.596)
Epoch: [63][8930/9018]	Time 0.612 (0.623)	Data 0.015 (0.003)	Loss 1.8233 (1.7590)	Prec@1 55.000 (53.332)	Prec@5 84.000 (82.595)
Epoch: [63][8940/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7461 (1.7591)	Prec@1 53.000 (53.329)	Prec@5 83.500 (82.594)
Epoch: [63][8950/9018]	Time 0.617 (0.623)	Data 0.003 (0.003)	Loss 1.7290 (1.7591)	Prec@1 56.500 (53.330)	Prec@5 85.000 (82.593)
Epoch: [63][8960/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7018 (1.7591)	Prec@1 56.500 (53.331)	Prec@5 84.000 (82.593)
Epoch: [63][8970/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7557 (1.7591)	Prec@1 51.500 (53.331)	Prec@5 80.500 (82.591)
Epoch: [63][8980/9018]	Time 0.601 (0.623)	Data 0.014 (0.003)	Loss 1.6714 (1.7591)	Prec@1 59.000 (53.331)	Prec@5 82.000 (82.592)
Epoch: [63][8990/9018]	Time 0.604 (0.623)	Data 0.019 (0.003)	Loss 1.9822 (1.7591)	Prec@1 49.000 (53.332)	Prec@5 79.500 (82.591)
Epoch: [63][9000/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6526 (1.7591)	Prec@1 60.000 (53.332)	Prec@5 88.000 (82.593)
Epoch: [63][9010/9018]	Time 0.616 (0.623)	Data 0.000 (0.003)	Loss 1.6980 (1.7591)	Prec@1 53.000 (53.333)	Prec@5 83.000 (82.592)
Test: [0/183]	Time 1.451 (1.451)	Loss 2.4354 (2.4354)	Prec@1 37.000 (37.000)	Prec@5 72.000 (72.000)
Test: [10/183]	Time 0.189 (0.332)	Loss 1.5591 (1.6104)	Prec@1 62.000 (57.636)	Prec@5 84.000 (86.273)
Test: [20/183]	Time 0.208 (0.272)	Loss 1.9416 (1.5770)	Prec@1 50.000 (57.571)	Prec@5 82.000 (86.405)
Test: [30/183]	Time 0.214 (0.252)	Loss 2.1821 (1.5928)	Prec@1 35.500 (56.532)	Prec@5 78.500 (86.516)
Test: [40/183]	Time 0.201 (0.243)	Loss 2.2804 (1.5963)	Prec@1 37.500 (57.037)	Prec@5 80.000 (86.024)
Test: [50/183]	Time 0.199 (0.235)	Loss 1.3229 (1.5629)	Prec@1 64.500 (57.824)	Prec@5 91.000 (86.431)
Test: [60/183]	Time 0.180 (0.232)	Loss 2.0762 (1.6364)	Prec@1 44.500 (55.533)	Prec@5 78.500 (85.656)
Test: [70/183]	Time 0.193 (0.227)	Loss 1.6589 (1.6247)	Prec@1 52.000 (55.613)	Prec@5 87.500 (85.993)
Test: [80/183]	Time 0.214 (0.225)	Loss 1.3002 (1.6057)	Prec@1 57.000 (55.840)	Prec@5 94.000 (86.222)
Test: [90/183]	Time 0.184 (0.224)	Loss 2.2000 (1.6030)	Prec@1 43.000 (55.885)	Prec@5 74.500 (86.203)
Test: [100/183]	Time 0.218 (0.222)	Loss 0.7232 (1.6032)	Prec@1 78.000 (55.837)	Prec@5 96.000 (86.188)
Test: [110/183]	Time 0.206 (0.220)	Loss 0.7129 (1.6086)	Prec@1 82.000 (55.766)	Prec@5 95.500 (86.054)
Test: [120/183]	Time 0.182 (0.219)	Loss 2.0000 (1.6145)	Prec@1 44.500 (55.492)	Prec@5 75.500 (86.025)
Test: [130/183]	Time 0.222 (0.218)	Loss 2.9099 (1.6224)	Prec@1 20.500 (55.237)	Prec@5 73.000 (86.107)
Test: [140/183]	Time 0.196 (0.218)	Loss 1.4521 (1.6145)	Prec@1 63.000 (55.457)	Prec@5 86.000 (86.202)
Test: [150/183]	Time 0.193 (0.217)	Loss 0.6337 (1.6135)	Prec@1 82.000 (55.579)	Prec@5 98.000 (86.195)
Test: [160/183]	Time 0.187 (0.217)	Loss 1.6745 (1.6115)	Prec@1 51.500 (55.724)	Prec@5 83.000 (86.177)
Test: [170/183]	Time 0.217 (0.216)	Loss 2.0376 (1.6253)	Prec@1 36.500 (55.342)	Prec@5 83.500 (86.006)
Test: [180/183]	Time 0.189 (0.215)	Loss 1.8966 (1.6318)	Prec@1 52.000 (55.304)	Prec@5 82.500 (85.878)
 * Prec@1 55.296 Prec@5 85.874
Epoch: [64][0/9018]	Time 3.184 (3.184)	Data 2.575 (2.575)	Loss 1.5629 (1.5629)	Prec@1 58.500 (58.500)	Prec@5 86.500 (86.500)
Epoch: [64][10/9018]	Time 0.611 (0.861)	Data 0.001 (0.236)	Loss 1.7788 (1.7187)	Prec@1 50.000 (54.091)	Prec@5 84.000 (83.636)
Epoch: [64][20/9018]	Time 0.611 (0.743)	Data 0.002 (0.124)	Loss 1.7629 (1.7602)	Prec@1 54.500 (53.143)	Prec@5 82.500 (82.476)
Epoch: [64][30/9018]	Time 0.625 (0.704)	Data 0.001 (0.085)	Loss 1.7949 (1.7661)	Prec@1 50.500 (52.661)	Prec@5 83.000 (82.516)
Epoch: [64][40/9018]	Time 0.657 (0.686)	Data 0.001 (0.065)	Loss 1.9434 (1.7727)	Prec@1 46.500 (52.549)	Prec@5 76.000 (82.098)
Epoch: [64][50/9018]	Time 0.620 (0.672)	Data 0.001 (0.053)	Loss 1.8627 (1.7655)	Prec@1 48.000 (52.833)	Prec@5 80.000 (82.255)
Epoch: [64][60/9018]	Time 0.600 (0.664)	Data 0.001 (0.045)	Loss 1.7466 (1.7656)	Prec@1 56.500 (52.770)	Prec@5 82.000 (82.393)
Epoch: [64][70/9018]	Time 0.628 (0.656)	Data 0.001 (0.039)	Loss 1.7147 (1.7581)	Prec@1 54.000 (52.944)	Prec@5 83.500 (82.507)
Epoch: [64][80/9018]	Time 0.645 (0.654)	Data 0.001 (0.034)	Loss 1.6626 (1.7530)	Prec@1 57.000 (53.333)	Prec@5 84.000 (82.586)
Epoch: [64][90/9018]	Time 0.617 (0.651)	Data 0.011 (0.031)	Loss 1.5654 (1.7476)	Prec@1 57.000 (53.390)	Prec@5 83.500 (82.632)
Epoch: [64][100/9018]	Time 0.634 (0.647)	Data 0.001 (0.028)	Loss 1.7366 (1.7479)	Prec@1 53.000 (53.356)	Prec@5 85.000 (82.634)
Epoch: [64][110/9018]	Time 0.625 (0.646)	Data 0.001 (0.026)	Loss 1.7436 (1.7490)	Prec@1 53.000 (53.302)	Prec@5 80.500 (82.541)
Epoch: [64][120/9018]	Time 0.617 (0.644)	Data 0.005 (0.024)	Loss 1.9252 (1.7543)	Prec@1 53.000 (53.194)	Prec@5 79.500 (82.550)
Epoch: [64][130/9018]	Time 0.644 (0.643)	Data 0.001 (0.022)	Loss 1.5803 (1.7527)	Prec@1 58.000 (53.305)	Prec@5 89.000 (82.607)
Epoch: [64][140/9018]	Time 0.631 (0.642)	Data 0.001 (0.021)	Loss 1.6216 (1.7502)	Prec@1 58.500 (53.362)	Prec@5 84.500 (82.638)
Epoch: [64][150/9018]	Time 0.595 (0.640)	Data 0.001 (0.020)	Loss 1.8618 (1.7506)	Prec@1 48.500 (53.321)	Prec@5 81.000 (82.682)
Epoch: [64][160/9018]	Time 0.609 (0.640)	Data 0.001 (0.019)	Loss 1.8453 (1.7529)	Prec@1 54.000 (53.354)	Prec@5 78.500 (82.540)
Epoch: [64][170/9018]	Time 0.801 (0.640)	Data 0.001 (0.018)	Loss 1.8132 (1.7542)	Prec@1 53.000 (53.357)	Prec@5 81.500 (82.570)
Epoch: [64][180/9018]	Time 0.600 (0.638)	Data 0.001 (0.017)	Loss 1.5070 (1.7514)	Prec@1 56.000 (53.392)	Prec@5 88.000 (82.564)
Epoch: [64][190/9018]	Time 0.603 (0.637)	Data 0.001 (0.016)	Loss 1.6271 (1.7503)	Prec@1 51.000 (53.387)	Prec@5 89.000 (82.605)
Epoch: [64][200/9018]	Time 0.606 (0.637)	Data 0.001 (0.015)	Loss 1.8509 (1.7493)	Prec@1 47.500 (53.398)	Prec@5 82.000 (82.629)
Epoch: [64][210/9018]	Time 0.608 (0.636)	Data 0.001 (0.015)	Loss 1.5695 (1.7466)	Prec@1 58.000 (53.476)	Prec@5 86.000 (82.642)
Epoch: [64][220/9018]	Time 0.729 (0.636)	Data 0.001 (0.014)	Loss 1.5618 (1.7436)	Prec@1 58.500 (53.581)	Prec@5 86.500 (82.667)
Epoch: [64][230/9018]	Time 0.632 (0.635)	Data 0.001 (0.014)	Loss 1.6269 (1.7402)	Prec@1 57.500 (53.690)	Prec@5 86.500 (82.727)
Epoch: [64][240/9018]	Time 0.599 (0.635)	Data 0.001 (0.013)	Loss 1.6074 (1.7409)	Prec@1 52.000 (53.645)	Prec@5 88.500 (82.766)
Epoch: [64][250/9018]	Time 0.637 (0.634)	Data 0.001 (0.013)	Loss 1.7492 (1.7378)	Prec@1 53.500 (53.717)	Prec@5 83.500 (82.843)
Epoch: [64][260/9018]	Time 0.595 (0.634)	Data 0.001 (0.012)	Loss 1.7128 (1.7374)	Prec@1 54.500 (53.743)	Prec@5 81.000 (82.831)
Epoch: [64][270/9018]	Time 0.627 (0.634)	Data 0.002 (0.012)	Loss 1.7713 (1.7365)	Prec@1 51.500 (53.744)	Prec@5 83.500 (82.865)
Epoch: [64][280/9018]	Time 0.615 (0.634)	Data 0.001 (0.012)	Loss 1.7870 (1.7378)	Prec@1 55.000 (53.719)	Prec@5 82.000 (82.819)
Epoch: [64][290/9018]	Time 0.598 (0.633)	Data 0.001 (0.011)	Loss 1.8057 (1.7360)	Prec@1 49.500 (53.759)	Prec@5 83.000 (82.847)
Epoch: [64][300/9018]	Time 0.615 (0.633)	Data 0.001 (0.011)	Loss 1.5417 (1.7331)	Prec@1 58.500 (53.837)	Prec@5 88.500 (82.897)
Epoch: [64][310/9018]	Time 0.597 (0.632)	Data 0.001 (0.011)	Loss 1.6455 (1.7323)	Prec@1 54.500 (53.862)	Prec@5 82.000 (82.915)
Epoch: [64][320/9018]	Time 0.632 (0.632)	Data 0.015 (0.010)	Loss 1.7834 (1.7321)	Prec@1 51.000 (53.852)	Prec@5 79.500 (82.933)
Epoch: [64][330/9018]	Time 0.642 (0.632)	Data 0.014 (0.010)	Loss 1.6839 (1.7334)	Prec@1 58.000 (53.822)	Prec@5 83.000 (82.912)
Epoch: [64][340/9018]	Time 0.593 (0.632)	Data 0.001 (0.010)	Loss 1.6818 (1.7318)	Prec@1 55.500 (53.852)	Prec@5 84.500 (82.962)
Epoch: [64][350/9018]	Time 0.605 (0.631)	Data 0.001 (0.010)	Loss 1.5991 (1.7310)	Prec@1 58.500 (53.860)	Prec@5 84.000 (82.997)
Epoch: [64][360/9018]	Time 0.605 (0.631)	Data 0.002 (0.010)	Loss 1.7436 (1.7304)	Prec@1 54.000 (53.853)	Prec@5 82.500 (83.014)
Epoch: [64][370/9018]	Time 0.625 (0.631)	Data 0.001 (0.009)	Loss 1.7753 (1.7304)	Prec@1 48.500 (53.863)	Prec@5 83.500 (83.020)
Epoch: [64][380/9018]	Time 0.627 (0.631)	Data 0.001 (0.009)	Loss 1.6682 (1.7311)	Prec@1 48.500 (53.829)	Prec@5 85.000 (82.997)
Epoch: [64][390/9018]	Time 0.612 (0.630)	Data 0.001 (0.009)	Loss 1.9172 (1.7317)	Prec@1 48.500 (53.821)	Prec@5 82.000 (82.990)
Epoch: [64][400/9018]	Time 0.618 (0.630)	Data 0.001 (0.009)	Loss 1.6143 (1.7323)	Prec@1 55.000 (53.819)	Prec@5 85.000 (82.975)
Epoch: [64][410/9018]	Time 0.616 (0.630)	Data 0.001 (0.009)	Loss 1.5098 (1.7305)	Prec@1 58.000 (53.878)	Prec@5 86.500 (83.006)
Epoch: [64][420/9018]	Time 0.591 (0.630)	Data 0.001 (0.009)	Loss 1.9509 (1.7316)	Prec@1 49.500 (53.838)	Prec@5 78.500 (82.994)
Epoch: [64][430/9018]	Time 0.634 (0.629)	Data 0.001 (0.008)	Loss 1.6587 (1.7319)	Prec@1 52.500 (53.845)	Prec@5 85.000 (82.995)
Epoch: [64][440/9018]	Time 0.596 (0.629)	Data 0.001 (0.008)	Loss 1.9322 (1.7331)	Prec@1 52.500 (53.863)	Prec@5 77.500 (82.968)
Epoch: [64][450/9018]	Time 0.630 (0.629)	Data 0.014 (0.008)	Loss 1.5729 (1.7330)	Prec@1 57.000 (53.873)	Prec@5 86.500 (82.967)
Epoch: [64][460/9018]	Time 0.609 (0.629)	Data 0.001 (0.008)	Loss 1.7918 (1.7338)	Prec@1 52.000 (53.855)	Prec@5 81.500 (82.941)
Epoch: [64][470/9018]	Time 0.618 (0.629)	Data 0.001 (0.008)	Loss 1.6619 (1.7341)	Prec@1 56.000 (53.843)	Prec@5 84.500 (82.921)
Epoch: [64][480/9018]	Time 0.604 (0.629)	Data 0.001 (0.008)	Loss 1.8760 (1.7349)	Prec@1 51.000 (53.852)	Prec@5 77.000 (82.887)
Epoch: [64][490/9018]	Time 0.626 (0.628)	Data 0.001 (0.008)	Loss 1.6752 (1.7346)	Prec@1 52.500 (53.865)	Prec@5 83.500 (82.891)
Epoch: [64][500/9018]	Time 0.732 (0.628)	Data 0.001 (0.007)	Loss 1.9544 (1.7342)	Prec@1 52.000 (53.875)	Prec@5 78.500 (82.889)
Epoch: [64][510/9018]	Time 0.638 (0.628)	Data 0.001 (0.007)	Loss 1.6229 (1.7354)	Prec@1 56.000 (53.864)	Prec@5 87.000 (82.865)
Epoch: [64][520/9018]	Time 0.609 (0.628)	Data 0.001 (0.007)	Loss 1.5043 (1.7350)	Prec@1 59.500 (53.869)	Prec@5 86.500 (82.851)
Epoch: [64][530/9018]	Time 0.594 (0.627)	Data 0.001 (0.007)	Loss 1.8707 (1.7358)	Prec@1 51.000 (53.847)	Prec@5 82.000 (82.862)
Epoch: [64][540/9018]	Time 0.599 (0.627)	Data 0.001 (0.007)	Loss 1.8054 (1.7360)	Prec@1 53.500 (53.849)	Prec@5 82.000 (82.861)
Epoch: [64][550/9018]	Time 0.722 (0.627)	Data 0.001 (0.007)	Loss 1.8208 (1.7350)	Prec@1 55.000 (53.881)	Prec@5 81.000 (82.873)
Epoch: [64][560/9018]	Time 0.595 (0.627)	Data 0.001 (0.007)	Loss 1.8184 (1.7355)	Prec@1 55.000 (53.878)	Prec@5 81.000 (82.865)
Epoch: [64][570/9018]	Time 0.604 (0.626)	Data 0.001 (0.007)	Loss 1.7917 (1.7370)	Prec@1 51.000 (53.837)	Prec@5 83.000 (82.828)
Epoch: [64][580/9018]	Time 0.601 (0.626)	Data 0.001 (0.007)	Loss 1.8207 (1.7375)	Prec@1 52.500 (53.811)	Prec@5 83.500 (82.835)
Epoch: [64][590/9018]	Time 0.594 (0.626)	Data 0.001 (0.006)	Loss 1.4289 (1.7377)	Prec@1 60.000 (53.803)	Prec@5 88.000 (82.831)
Epoch: [64][600/9018]	Time 0.599 (0.626)	Data 0.001 (0.006)	Loss 1.6170 (1.7371)	Prec@1 58.000 (53.825)	Prec@5 83.000 (82.844)
Epoch: [64][610/9018]	Time 0.627 (0.626)	Data 0.001 (0.006)	Loss 1.6729 (1.7381)	Prec@1 55.500 (53.807)	Prec@5 84.000 (82.833)
Epoch: [64][620/9018]	Time 0.602 (0.625)	Data 0.001 (0.006)	Loss 1.7592 (1.7388)	Prec@1 51.500 (53.771)	Prec@5 85.000 (82.820)
Epoch: [64][630/9018]	Time 0.597 (0.625)	Data 0.001 (0.006)	Loss 1.7287 (1.7390)	Prec@1 52.500 (53.754)	Prec@5 84.000 (82.839)
Epoch: [64][640/9018]	Time 0.604 (0.625)	Data 0.001 (0.006)	Loss 1.9653 (1.7392)	Prec@1 47.000 (53.745)	Prec@5 80.000 (82.846)
Epoch: [64][650/9018]	Time 0.600 (0.625)	Data 0.001 (0.006)	Loss 1.7653 (1.7390)	Prec@1 54.500 (53.747)	Prec@5 85.000 (82.849)
Epoch: [64][660/9018]	Time 0.616 (0.625)	Data 0.001 (0.006)	Loss 1.8392 (1.7396)	Prec@1 51.500 (53.735)	Prec@5 80.500 (82.831)
Epoch: [64][670/9018]	Time 0.622 (0.625)	Data 0.001 (0.006)	Loss 1.7843 (1.7399)	Prec@1 52.000 (53.730)	Prec@5 83.000 (82.832)
Epoch: [64][680/9018]	Time 0.611 (0.624)	Data 0.001 (0.006)	Loss 1.6902 (1.7401)	Prec@1 53.000 (53.712)	Prec@5 81.000 (82.845)
Epoch: [64][690/9018]	Time 0.610 (0.624)	Data 0.001 (0.006)	Loss 1.7018 (1.7394)	Prec@1 54.000 (53.715)	Prec@5 83.500 (82.859)
Epoch: [64][700/9018]	Time 0.607 (0.624)	Data 0.001 (0.006)	Loss 1.5570 (1.7389)	Prec@1 60.000 (53.742)	Prec@5 82.500 (82.864)
Epoch: [64][710/9018]	Time 0.607 (0.624)	Data 0.001 (0.005)	Loss 1.5004 (1.7383)	Prec@1 60.500 (53.747)	Prec@5 87.500 (82.868)
Epoch: [64][720/9018]	Time 0.610 (0.624)	Data 0.001 (0.005)	Loss 1.8496 (1.7383)	Prec@1 47.500 (53.741)	Prec@5 79.000 (82.872)
Epoch: [64][730/9018]	Time 0.613 (0.624)	Data 0.001 (0.005)	Loss 1.7412 (1.7380)	Prec@1 52.000 (53.745)	Prec@5 84.000 (82.890)
Epoch: [64][740/9018]	Time 0.637 (0.624)	Data 0.001 (0.005)	Loss 1.8824 (1.7387)	Prec@1 49.000 (53.717)	Prec@5 81.500 (82.878)
Epoch: [64][750/9018]	Time 0.596 (0.624)	Data 0.001 (0.005)	Loss 1.7028 (1.7395)	Prec@1 53.500 (53.686)	Prec@5 82.500 (82.872)
Epoch: [64][760/9018]	Time 0.622 (0.624)	Data 0.001 (0.005)	Loss 1.7683 (1.7394)	Prec@1 52.000 (53.688)	Prec@5 83.500 (82.871)
Epoch: [64][770/9018]	Time 0.603 (0.624)	Data 0.001 (0.005)	Loss 1.8295 (1.7403)	Prec@1 50.500 (53.676)	Prec@5 79.000 (82.851)
Epoch: [64][780/9018]	Time 0.594 (0.623)	Data 0.001 (0.005)	Loss 1.8595 (1.7408)	Prec@1 50.500 (53.658)	Prec@5 81.500 (82.837)
Epoch: [64][790/9018]	Time 0.602 (0.623)	Data 0.001 (0.005)	Loss 1.8808 (1.7404)	Prec@1 45.500 (53.663)	Prec@5 80.500 (82.842)
Epoch: [64][800/9018]	Time 0.606 (0.623)	Data 0.001 (0.005)	Loss 1.8926 (1.7407)	Prec@1 47.500 (53.647)	Prec@5 81.500 (82.829)
Epoch: [64][810/9018]	Time 0.601 (0.623)	Data 0.001 (0.005)	Loss 1.6886 (1.7406)	Prec@1 58.000 (53.647)	Prec@5 84.500 (82.834)
Epoch: [64][820/9018]	Time 0.602 (0.623)	Data 0.001 (0.005)	Loss 1.8658 (1.7412)	Prec@1 53.000 (53.656)	Prec@5 80.500 (82.822)
Epoch: [64][830/9018]	Time 0.694 (0.623)	Data 0.001 (0.005)	Loss 1.6048 (1.7414)	Prec@1 54.000 (53.654)	Prec@5 84.000 (82.819)
Epoch: [64][840/9018]	Time 0.624 (0.623)	Data 0.001 (0.005)	Loss 1.7777 (1.7420)	Prec@1 49.500 (53.634)	Prec@5 85.000 (82.806)
Epoch: [64][850/9018]	Time 0.615 (0.623)	Data 0.001 (0.005)	Loss 1.6561 (1.7421)	Prec@1 55.500 (53.624)	Prec@5 85.000 (82.816)
Epoch: [64][860/9018]	Time 0.629 (0.623)	Data 0.001 (0.005)	Loss 2.0029 (1.7427)	Prec@1 47.500 (53.613)	Prec@5 77.500 (82.807)
Epoch: [64][870/9018]	Time 0.592 (0.623)	Data 0.001 (0.005)	Loss 1.8697 (1.7430)	Prec@1 52.500 (53.611)	Prec@5 79.000 (82.804)
Epoch: [64][880/9018]	Time 0.740 (0.623)	Data 0.001 (0.005)	Loss 1.8696 (1.7431)	Prec@1 52.000 (53.604)	Prec@5 83.500 (82.813)
Epoch: [64][890/9018]	Time 0.618 (0.623)	Data 0.001 (0.005)	Loss 1.7896 (1.7439)	Prec@1 50.000 (53.588)	Prec@5 83.000 (82.791)
Epoch: [64][900/9018]	Time 0.597 (0.623)	Data 0.001 (0.004)	Loss 1.8231 (1.7431)	Prec@1 51.000 (53.602)	Prec@5 82.000 (82.812)
Epoch: [64][910/9018]	Time 0.603 (0.622)	Data 0.001 (0.004)	Loss 1.7687 (1.7431)	Prec@1 52.500 (53.606)	Prec@5 84.500 (82.817)
Epoch: [64][920/9018]	Time 0.619 (0.622)	Data 0.001 (0.004)	Loss 1.8462 (1.7424)	Prec@1 52.500 (53.628)	Prec@5 80.000 (82.813)
Epoch: [64][930/9018]	Time 0.605 (0.622)	Data 0.001 (0.004)	Loss 1.7275 (1.7420)	Prec@1 55.000 (53.634)	Prec@5 83.000 (82.818)
Epoch: [64][940/9018]	Time 0.599 (0.622)	Data 0.001 (0.004)	Loss 1.7544 (1.7422)	Prec@1 52.000 (53.639)	Prec@5 84.000 (82.816)
Epoch: [64][950/9018]	Time 0.594 (0.622)	Data 0.001 (0.004)	Loss 1.6609 (1.7419)	Prec@1 55.000 (53.644)	Prec@5 85.500 (82.819)
Epoch: [64][960/9018]	Time 0.602 (0.622)	Data 0.001 (0.004)	Loss 1.6363 (1.7413)	Prec@1 53.500 (53.651)	Prec@5 83.000 (82.828)
Epoch: [64][970/9018]	Time 0.599 (0.622)	Data 0.001 (0.004)	Loss 1.8987 (1.7412)	Prec@1 49.500 (53.660)	Prec@5 80.500 (82.832)
Epoch: [64][980/9018]	Time 0.591 (0.622)	Data 0.001 (0.004)	Loss 1.7999 (1.7407)	Prec@1 55.000 (53.657)	Prec@5 82.500 (82.842)
Epoch: [64][990/9018]	Time 0.624 (0.622)	Data 0.001 (0.004)	Loss 1.5626 (1.7408)	Prec@1 58.000 (53.655)	Prec@5 84.500 (82.837)
Epoch: [64][1000/9018]	Time 0.598 (0.622)	Data 0.001 (0.004)	Loss 1.9206 (1.7406)	Prec@1 50.000 (53.669)	Prec@5 78.500 (82.834)
Epoch: [64][1010/9018]	Time 0.616 (0.622)	Data 0.001 (0.004)	Loss 1.6408 (1.7409)	Prec@1 59.000 (53.659)	Prec@5 86.000 (82.821)
Epoch: [64][1020/9018]	Time 0.598 (0.621)	Data 0.001 (0.004)	Loss 1.7605 (1.7411)	Prec@1 54.000 (53.657)	Prec@5 84.500 (82.812)
Epoch: [64][1030/9018]	Time 0.613 (0.622)	Data 0.001 (0.004)	Loss 1.5965 (1.7410)	Prec@1 59.500 (53.661)	Prec@5 86.500 (82.810)
Epoch: [64][1040/9018]	Time 0.623 (0.621)	Data 0.001 (0.004)	Loss 1.6984 (1.7407)	Prec@1 51.500 (53.668)	Prec@5 87.000 (82.822)
Epoch: [64][1050/9018]	Time 0.592 (0.621)	Data 0.001 (0.004)	Loss 1.8067 (1.7407)	Prec@1 50.500 (53.666)	Prec@5 82.500 (82.825)
Epoch: [64][1060/9018]	Time 0.600 (0.621)	Data 0.001 (0.004)	Loss 1.6457 (1.7403)	Prec@1 55.000 (53.671)	Prec@5 83.000 (82.825)
Epoch: [64][1070/9018]	Time 0.602 (0.621)	Data 0.001 (0.004)	Loss 1.5642 (1.7406)	Prec@1 58.000 (53.665)	Prec@5 84.500 (82.820)
Epoch: [64][1080/9018]	Time 0.633 (0.621)	Data 0.001 (0.004)	Loss 1.6920 (1.7405)	Prec@1 53.500 (53.661)	Prec@5 84.000 (82.821)
Epoch: [64][1090/9018]	Time 0.593 (0.621)	Data 0.001 (0.004)	Loss 1.5157 (1.7403)	Prec@1 62.000 (53.676)	Prec@5 85.000 (82.826)
Epoch: [64][1100/9018]	Time 0.593 (0.621)	Data 0.001 (0.004)	Loss 1.5833 (1.7405)	Prec@1 61.000 (53.676)	Prec@5 88.000 (82.827)
Epoch: [64][1110/9018]	Time 0.608 (0.621)	Data 0.001 (0.004)	Loss 1.7119 (1.7409)	Prec@1 56.000 (53.674)	Prec@5 85.500 (82.824)
Epoch: [64][1120/9018]	Time 0.620 (0.621)	Data 0.001 (0.004)	Loss 1.6997 (1.7409)	Prec@1 51.500 (53.667)	Prec@5 84.000 (82.824)
Epoch: [64][1130/9018]	Time 0.602 (0.621)	Data 0.001 (0.004)	Loss 1.7149 (1.7408)	Prec@1 53.000 (53.669)	Prec@5 85.000 (82.825)
Epoch: [64][1140/9018]	Time 0.605 (0.620)	Data 0.001 (0.004)	Loss 1.6675 (1.7406)	Prec@1 55.000 (53.686)	Prec@5 85.000 (82.829)
Epoch: [64][1150/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.7794 (1.7401)	Prec@1 56.000 (53.699)	Prec@5 84.500 (82.840)
Epoch: [64][1160/9018]	Time 0.739 (0.621)	Data 0.001 (0.004)	Loss 1.7248 (1.7402)	Prec@1 54.500 (53.696)	Prec@5 85.000 (82.841)
Epoch: [64][1170/9018]	Time 0.595 (0.620)	Data 0.001 (0.004)	Loss 1.5956 (1.7402)	Prec@1 53.500 (53.702)	Prec@5 82.500 (82.839)
Epoch: [64][1180/9018]	Time 0.593 (0.620)	Data 0.001 (0.004)	Loss 1.6127 (1.7401)	Prec@1 56.500 (53.694)	Prec@5 84.500 (82.845)
Epoch: [64][1190/9018]	Time 0.632 (0.620)	Data 0.001 (0.004)	Loss 1.8103 (1.7405)	Prec@1 53.000 (53.683)	Prec@5 79.000 (82.840)
Epoch: [64][1200/9018]	Time 0.596 (0.620)	Data 0.001 (0.004)	Loss 1.9053 (1.7404)	Prec@1 47.500 (53.691)	Prec@5 83.000 (82.854)
Epoch: [64][1210/9018]	Time 0.726 (0.620)	Data 0.001 (0.004)	Loss 2.0349 (1.7412)	Prec@1 52.500 (53.676)	Prec@5 79.500 (82.843)
Epoch: [64][1220/9018]	Time 0.598 (0.620)	Data 0.001 (0.004)	Loss 1.9447 (1.7413)	Prec@1 52.500 (53.677)	Prec@5 80.000 (82.843)
Epoch: [64][1230/9018]	Time 0.593 (0.620)	Data 0.001 (0.004)	Loss 1.8261 (1.7415)	Prec@1 53.500 (53.672)	Prec@5 81.000 (82.847)
Epoch: [64][1240/9018]	Time 0.588 (0.620)	Data 0.001 (0.003)	Loss 1.7750 (1.7414)	Prec@1 52.500 (53.674)	Prec@5 83.000 (82.847)
Epoch: [64][1250/9018]	Time 0.598 (0.620)	Data 0.001 (0.003)	Loss 1.6317 (1.7416)	Prec@1 58.000 (53.672)	Prec@5 84.500 (82.847)
Epoch: [64][1260/9018]	Time 0.589 (0.620)	Data 0.001 (0.003)	Loss 1.6471 (1.7416)	Prec@1 54.000 (53.653)	Prec@5 85.500 (82.852)
Epoch: [64][1270/9018]	Time 0.623 (0.620)	Data 0.001 (0.003)	Loss 1.7087 (1.7419)	Prec@1 50.000 (53.644)	Prec@5 82.500 (82.841)
Epoch: [64][1280/9018]	Time 0.599 (0.620)	Data 0.001 (0.003)	Loss 1.8093 (1.7420)	Prec@1 52.500 (53.642)	Prec@5 84.500 (82.845)
Epoch: [64][1290/9018]	Time 0.611 (0.620)	Data 0.001 (0.003)	Loss 1.8495 (1.7420)	Prec@1 49.500 (53.636)	Prec@5 82.500 (82.845)
Epoch: [64][1300/9018]	Time 0.637 (0.620)	Data 0.001 (0.003)	Loss 1.6926 (1.7418)	Prec@1 56.500 (53.633)	Prec@5 84.000 (82.853)
Epoch: [64][1310/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.7921 (1.7412)	Prec@1 52.500 (53.638)	Prec@5 83.500 (82.865)
Epoch: [64][1320/9018]	Time 0.614 (0.620)	Data 0.001 (0.003)	Loss 1.9462 (1.7411)	Prec@1 54.000 (53.635)	Prec@5 80.000 (82.871)
Epoch: [64][1330/9018]	Time 0.623 (0.620)	Data 0.001 (0.003)	Loss 1.8003 (1.7411)	Prec@1 51.500 (53.647)	Prec@5 86.000 (82.871)
Epoch: [64][1340/9018]	Time 0.602 (0.620)	Data 0.001 (0.003)	Loss 1.5973 (1.7409)	Prec@1 56.000 (53.658)	Prec@5 85.500 (82.872)
Epoch: [64][1350/9018]	Time 0.605 (0.620)	Data 0.001 (0.003)	Loss 1.6563 (1.7410)	Prec@1 58.500 (53.655)	Prec@5 86.500 (82.875)
Epoch: [64][1360/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.6735 (1.7407)	Prec@1 58.000 (53.667)	Prec@5 84.000 (82.882)
Epoch: [64][1370/9018]	Time 0.600 (0.619)	Data 0.001 (0.003)	Loss 1.5868 (1.7407)	Prec@1 57.500 (53.663)	Prec@5 85.000 (82.882)
Epoch: [64][1380/9018]	Time 0.641 (0.619)	Data 0.001 (0.003)	Loss 1.7261 (1.7402)	Prec@1 56.000 (53.669)	Prec@5 81.500 (82.891)
Epoch: [64][1390/9018]	Time 0.621 (0.619)	Data 0.001 (0.003)	Loss 1.8063 (1.7401)	Prec@1 50.500 (53.666)	Prec@5 83.000 (82.895)
Epoch: [64][1400/9018]	Time 0.597 (0.619)	Data 0.001 (0.003)	Loss 1.7624 (1.7399)	Prec@1 59.500 (53.674)	Prec@5 79.000 (82.897)
Epoch: [64][1410/9018]	Time 0.596 (0.619)	Data 0.001 (0.003)	Loss 1.8180 (1.7401)	Prec@1 52.500 (53.667)	Prec@5 81.500 (82.897)
Epoch: [64][1420/9018]	Time 0.602 (0.619)	Data 0.001 (0.003)	Loss 1.7306 (1.7401)	Prec@1 54.000 (53.667)	Prec@5 85.000 (82.899)
Epoch: [64][1430/9018]	Time 0.594 (0.619)	Data 0.001 (0.003)	Loss 1.6758 (1.7402)	Prec@1 56.500 (53.661)	Prec@5 88.500 (82.907)
Epoch: [64][1440/9018]	Time 0.631 (0.619)	Data 0.001 (0.003)	Loss 1.7537 (1.7400)	Prec@1 54.500 (53.667)	Prec@5 83.500 (82.914)
Epoch: [64][1450/9018]	Time 0.618 (0.619)	Data 0.001 (0.003)	Loss 1.7309 (1.7399)	Prec@1 53.500 (53.666)	Prec@5 83.000 (82.917)
Epoch: [64][1460/9018]	Time 0.597 (0.619)	Data 0.001 (0.003)	Loss 1.5602 (1.7400)	Prec@1 56.500 (53.659)	Prec@5 87.000 (82.920)
Epoch: [64][1470/9018]	Time 0.603 (0.619)	Data 0.001 (0.003)	Loss 1.5863 (1.7401)	Prec@1 56.500 (53.663)	Prec@5 86.500 (82.917)
Epoch: [64][1480/9018]	Time 0.622 (0.619)	Data 0.001 (0.003)	Loss 1.6554 (1.7404)	Prec@1 59.000 (53.657)	Prec@5 84.500 (82.912)
Epoch: [64][1490/9018]	Time 0.738 (0.619)	Data 0.001 (0.003)	Loss 1.8531 (1.7403)	Prec@1 52.500 (53.661)	Prec@5 80.500 (82.916)
Epoch: [64][1500/9018]	Time 0.635 (0.619)	Data 0.001 (0.003)	Loss 1.6220 (1.7402)	Prec@1 56.000 (53.667)	Prec@5 85.000 (82.916)
Epoch: [64][1510/9018]	Time 0.634 (0.619)	Data 0.001 (0.003)	Loss 1.5851 (1.7404)	Prec@1 61.000 (53.657)	Prec@5 85.500 (82.911)
Epoch: [64][1520/9018]	Time 0.625 (0.619)	Data 0.001 (0.003)	Loss 1.4928 (1.7402)	Prec@1 59.500 (53.665)	Prec@5 84.500 (82.912)
Epoch: [64][1530/9018]	Time 0.604 (0.619)	Data 0.001 (0.003)	Loss 1.6996 (1.7401)	Prec@1 50.500 (53.662)	Prec@5 82.500 (82.910)
Epoch: [64][1540/9018]	Time 0.702 (0.619)	Data 0.001 (0.003)	Loss 2.0287 (1.7398)	Prec@1 49.000 (53.670)	Prec@5 79.500 (82.916)
Epoch: [64][1550/9018]	Time 0.617 (0.619)	Data 0.001 (0.003)	Loss 1.6714 (1.7396)	Prec@1 58.000 (53.671)	Prec@5 83.500 (82.919)
Epoch: [64][1560/9018]	Time 0.591 (0.619)	Data 0.001 (0.003)	Loss 1.5675 (1.7397)	Prec@1 54.500 (53.675)	Prec@5 85.500 (82.919)
Epoch: [64][1570/9018]	Time 0.601 (0.619)	Data 0.001 (0.003)	Loss 1.7193 (1.7400)	Prec@1 57.000 (53.674)	Prec@5 80.500 (82.911)
Epoch: [64][1580/9018]	Time 0.620 (0.619)	Data 0.001 (0.003)	Loss 1.7281 (1.7401)	Prec@1 49.500 (53.664)	Prec@5 83.000 (82.909)
Epoch: [64][1590/9018]	Time 0.605 (0.619)	Data 0.001 (0.003)	Loss 1.7593 (1.7402)	Prec@1 55.000 (53.663)	Prec@5 82.500 (82.909)
Epoch: [64][1600/9018]	Time 0.630 (0.619)	Data 0.001 (0.003)	Loss 1.8507 (1.7402)	Prec@1 47.500 (53.668)	Prec@5 84.000 (82.908)
Epoch: [64][1610/9018]	Time 0.601 (0.619)	Data 0.001 (0.003)	Loss 1.8063 (1.7399)	Prec@1 53.500 (53.671)	Prec@5 78.000 (82.909)
Epoch: [64][1620/9018]	Time 0.601 (0.619)	Data 0.001 (0.003)	Loss 1.4950 (1.7394)	Prec@1 61.500 (53.684)	Prec@5 87.500 (82.922)
Epoch: [64][1630/9018]	Time 0.616 (0.619)	Data 0.001 (0.003)	Loss 1.8268 (1.7393)	Prec@1 49.500 (53.682)	Prec@5 81.500 (82.925)
Epoch: [64][1640/9018]	Time 0.616 (0.619)	Data 0.001 (0.003)	Loss 1.6944 (1.7395)	Prec@1 53.500 (53.675)	Prec@5 83.500 (82.922)
Epoch: [64][1650/9018]	Time 0.638 (0.619)	Data 0.001 (0.003)	Loss 1.9282 (1.7398)	Prec@1 52.500 (53.667)	Prec@5 80.500 (82.913)
Epoch: [64][1660/9018]	Time 0.603 (0.619)	Data 0.001 (0.003)	Loss 1.9369 (1.7398)	Prec@1 52.500 (53.674)	Prec@5 78.000 (82.908)
Epoch: [64][1670/9018]	Time 0.620 (0.619)	Data 0.001 (0.003)	Loss 1.5448 (1.7399)	Prec@1 58.500 (53.674)	Prec@5 88.000 (82.908)
Epoch: [64][1680/9018]	Time 0.603 (0.619)	Data 0.001 (0.003)	Loss 1.6314 (1.7398)	Prec@1 58.000 (53.679)	Prec@5 83.500 (82.912)
Epoch: [64][1690/9018]	Time 0.606 (0.619)	Data 0.001 (0.003)	Loss 1.7890 (1.7398)	Prec@1 50.000 (53.679)	Prec@5 83.000 (82.918)
Epoch: [64][1700/9018]	Time 0.636 (0.619)	Data 0.001 (0.003)	Loss 1.7631 (1.7397)	Prec@1 51.000 (53.676)	Prec@5 79.500 (82.921)
Epoch: [64][1710/9018]	Time 0.645 (0.619)	Data 0.001 (0.003)	Loss 1.6941 (1.7398)	Prec@1 56.000 (53.675)	Prec@5 87.000 (82.916)
Epoch: [64][1720/9018]	Time 0.618 (0.619)	Data 0.014 (0.003)	Loss 1.6789 (1.7400)	Prec@1 54.000 (53.671)	Prec@5 81.500 (82.918)
Epoch: [64][1730/9018]	Time 0.631 (0.619)	Data 0.009 (0.003)	Loss 1.8180 (1.7401)	Prec@1 53.000 (53.673)	Prec@5 83.000 (82.914)
Epoch: [64][1740/9018]	Time 0.599 (0.619)	Data 0.005 (0.003)	Loss 1.7745 (1.7404)	Prec@1 54.000 (53.669)	Prec@5 80.000 (82.912)
Epoch: [64][1750/9018]	Time 0.629 (0.619)	Data 0.001 (0.003)	Loss 1.6984 (1.7406)	Prec@1 55.500 (53.666)	Prec@5 78.500 (82.908)
Epoch: [64][1760/9018]	Time 0.619 (0.619)	Data 0.001 (0.003)	Loss 1.7759 (1.7409)	Prec@1 54.000 (53.656)	Prec@5 81.500 (82.904)
Epoch: [64][1770/9018]	Time 0.606 (0.619)	Data 0.001 (0.003)	Loss 1.6130 (1.7407)	Prec@1 54.500 (53.662)	Prec@5 84.000 (82.907)
Epoch: [64][1780/9018]	Time 0.610 (0.619)	Data 0.001 (0.003)	Loss 1.9211 (1.7406)	Prec@1 48.000 (53.663)	Prec@5 77.500 (82.905)
Epoch: [64][1790/9018]	Time 0.615 (0.619)	Data 0.001 (0.003)	Loss 1.9070 (1.7410)	Prec@1 50.000 (53.650)	Prec@5 79.500 (82.899)
Epoch: [64][1800/9018]	Time 0.600 (0.619)	Data 0.001 (0.003)	Loss 1.9898 (1.7414)	Prec@1 50.000 (53.644)	Prec@5 77.500 (82.891)
Epoch: [64][1810/9018]	Time 0.598 (0.619)	Data 0.001 (0.003)	Loss 1.6747 (1.7412)	Prec@1 57.000 (53.644)	Prec@5 82.000 (82.887)
Epoch: [64][1820/9018]	Time 0.741 (0.620)	Data 0.001 (0.003)	Loss 1.6825 (1.7412)	Prec@1 54.500 (53.638)	Prec@5 83.500 (82.886)
Epoch: [64][1830/9018]	Time 0.627 (0.619)	Data 0.001 (0.003)	Loss 1.6364 (1.7411)	Prec@1 57.000 (53.635)	Prec@5 83.500 (82.890)
Epoch: [64][1840/9018]	Time 0.637 (0.620)	Data 0.001 (0.003)	Loss 1.8457 (1.7411)	Prec@1 51.000 (53.636)	Prec@5 82.500 (82.891)
Epoch: [64][1850/9018]	Time 0.631 (0.620)	Data 0.001 (0.003)	Loss 1.5778 (1.7412)	Prec@1 57.500 (53.633)	Prec@5 85.500 (82.887)
Epoch: [64][1860/9018]	Time 0.589 (0.620)	Data 0.015 (0.003)	Loss 1.8559 (1.7416)	Prec@1 49.000 (53.622)	Prec@5 81.000 (82.876)
Epoch: [64][1870/9018]	Time 0.741 (0.620)	Data 0.001 (0.003)	Loss 1.6463 (1.7416)	Prec@1 55.500 (53.623)	Prec@5 85.500 (82.881)
Epoch: [64][1880/9018]	Time 0.625 (0.620)	Data 0.001 (0.003)	Loss 1.7123 (1.7417)	Prec@1 57.500 (53.620)	Prec@5 87.000 (82.884)
Epoch: [64][1890/9018]	Time 0.610 (0.620)	Data 0.001 (0.003)	Loss 1.8172 (1.7419)	Prec@1 49.000 (53.613)	Prec@5 81.000 (82.881)
Epoch: [64][1900/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.6453 (1.7418)	Prec@1 57.500 (53.617)	Prec@5 83.000 (82.885)
Epoch: [64][1910/9018]	Time 0.632 (0.620)	Data 0.001 (0.003)	Loss 1.4959 (1.7414)	Prec@1 61.000 (53.625)	Prec@5 85.500 (82.891)
Epoch: [64][1920/9018]	Time 0.624 (0.620)	Data 0.001 (0.003)	Loss 1.7614 (1.7418)	Prec@1 57.000 (53.613)	Prec@5 82.500 (82.885)
Epoch: [64][1930/9018]	Time 0.632 (0.620)	Data 0.001 (0.003)	Loss 1.7537 (1.7416)	Prec@1 51.500 (53.614)	Prec@5 83.000 (82.891)
Epoch: [64][1940/9018]	Time 0.612 (0.620)	Data 0.001 (0.003)	Loss 1.7882 (1.7419)	Prec@1 56.000 (53.608)	Prec@5 79.000 (82.886)
Epoch: [64][1950/9018]	Time 0.587 (0.620)	Data 0.001 (0.003)	Loss 1.6515 (1.7416)	Prec@1 53.500 (53.615)	Prec@5 84.500 (82.893)
Epoch: [64][1960/9018]	Time 0.639 (0.620)	Data 0.001 (0.003)	Loss 1.6017 (1.7418)	Prec@1 56.000 (53.611)	Prec@5 82.500 (82.891)
Epoch: [64][1970/9018]	Time 0.626 (0.620)	Data 0.001 (0.003)	Loss 1.8030 (1.7417)	Prec@1 50.000 (53.619)	Prec@5 81.500 (82.891)
Epoch: [64][1980/9018]	Time 0.607 (0.620)	Data 0.001 (0.003)	Loss 1.7185 (1.7417)	Prec@1 53.000 (53.626)	Prec@5 83.500 (82.889)
Epoch: [64][1990/9018]	Time 0.621 (0.620)	Data 0.017 (0.003)	Loss 1.6524 (1.7417)	Prec@1 55.000 (53.624)	Prec@5 83.000 (82.892)
Epoch: [64][2000/9018]	Time 0.586 (0.620)	Data 0.001 (0.003)	Loss 1.7048 (1.7416)	Prec@1 57.000 (53.633)	Prec@5 82.500 (82.892)
Epoch: [64][2010/9018]	Time 0.626 (0.620)	Data 0.001 (0.003)	Loss 1.7456 (1.7413)	Prec@1 51.000 (53.637)	Prec@5 81.500 (82.899)
Epoch: [64][2020/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.4885 (1.7413)	Prec@1 57.500 (53.639)	Prec@5 85.500 (82.903)
Epoch: [64][2030/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.9217 (1.7410)	Prec@1 44.500 (53.645)	Prec@5 81.500 (82.910)
Epoch: [64][2040/9018]	Time 0.612 (0.620)	Data 0.001 (0.003)	Loss 1.9315 (1.7413)	Prec@1 48.000 (53.642)	Prec@5 78.500 (82.907)
Epoch: [64][2050/9018]	Time 0.624 (0.620)	Data 0.001 (0.003)	Loss 1.9320 (1.7411)	Prec@1 47.000 (53.645)	Prec@5 80.500 (82.909)
Epoch: [64][2060/9018]	Time 0.600 (0.620)	Data 0.001 (0.003)	Loss 1.9579 (1.7410)	Prec@1 45.000 (53.648)	Prec@5 81.000 (82.909)
Epoch: [64][2070/9018]	Time 0.613 (0.620)	Data 0.016 (0.003)	Loss 1.9682 (1.7412)	Prec@1 50.500 (53.643)	Prec@5 76.000 (82.902)
Epoch: [64][2080/9018]	Time 0.630 (0.620)	Data 0.001 (0.003)	Loss 1.7962 (1.7415)	Prec@1 52.500 (53.639)	Prec@5 80.500 (82.895)
Epoch: [64][2090/9018]	Time 0.590 (0.620)	Data 0.001 (0.003)	Loss 1.5366 (1.7415)	Prec@1 58.000 (53.633)	Prec@5 87.500 (82.898)
Epoch: [64][2100/9018]	Time 0.632 (0.620)	Data 0.014 (0.003)	Loss 1.7342 (1.7415)	Prec@1 48.500 (53.629)	Prec@5 86.000 (82.900)
Epoch: [64][2110/9018]	Time 0.609 (0.620)	Data 0.001 (0.003)	Loss 1.5304 (1.7414)	Prec@1 57.000 (53.636)	Prec@5 84.000 (82.902)
Epoch: [64][2120/9018]	Time 0.621 (0.620)	Data 0.015 (0.003)	Loss 1.8654 (1.7416)	Prec@1 50.000 (53.633)	Prec@5 82.000 (82.900)
Epoch: [64][2130/9018]	Time 0.628 (0.620)	Data 0.001 (0.003)	Loss 1.5986 (1.7418)	Prec@1 58.500 (53.627)	Prec@5 83.000 (82.895)
Epoch: [64][2140/9018]	Time 0.636 (0.620)	Data 0.001 (0.003)	Loss 1.6012 (1.7418)	Prec@1 56.500 (53.625)	Prec@5 86.500 (82.892)
Epoch: [64][2150/9018]	Time 0.766 (0.620)	Data 0.014 (0.003)	Loss 1.7831 (1.7419)	Prec@1 49.500 (53.616)	Prec@5 83.000 (82.891)
Epoch: [64][2160/9018]	Time 0.619 (0.620)	Data 0.001 (0.003)	Loss 1.9814 (1.7421)	Prec@1 50.000 (53.613)	Prec@5 79.500 (82.890)
Epoch: [64][2170/9018]	Time 0.630 (0.620)	Data 0.001 (0.003)	Loss 1.9839 (1.7420)	Prec@1 47.500 (53.616)	Prec@5 77.500 (82.886)
Epoch: [64][2180/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.5944 (1.7422)	Prec@1 59.000 (53.611)	Prec@5 87.500 (82.881)
Epoch: [64][2190/9018]	Time 0.623 (0.620)	Data 0.012 (0.003)	Loss 1.7524 (1.7425)	Prec@1 52.000 (53.607)	Prec@5 81.500 (82.877)
Epoch: [64][2200/9018]	Time 0.741 (0.620)	Data 0.015 (0.003)	Loss 1.8626 (1.7425)	Prec@1 58.000 (53.605)	Prec@5 85.500 (82.881)
Epoch: [64][2210/9018]	Time 0.618 (0.620)	Data 0.001 (0.003)	Loss 1.5468 (1.7428)	Prec@1 52.500 (53.592)	Prec@5 85.500 (82.881)
Epoch: [64][2220/9018]	Time 0.628 (0.620)	Data 0.001 (0.003)	Loss 1.6706 (1.7429)	Prec@1 55.000 (53.587)	Prec@5 86.000 (82.879)
Epoch: [64][2230/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.6755 (1.7429)	Prec@1 53.500 (53.586)	Prec@5 85.500 (82.882)
Epoch: [64][2240/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.7753 (1.7428)	Prec@1 52.000 (53.593)	Prec@5 84.000 (82.885)
Epoch: [64][2250/9018]	Time 0.622 (0.620)	Data 0.001 (0.003)	Loss 1.8697 (1.7427)	Prec@1 49.500 (53.597)	Prec@5 79.500 (82.887)
Epoch: [64][2260/9018]	Time 0.605 (0.620)	Data 0.001 (0.003)	Loss 1.5698 (1.7427)	Prec@1 61.000 (53.603)	Prec@5 86.000 (82.883)
Epoch: [64][2270/9018]	Time 0.625 (0.621)	Data 0.001 (0.003)	Loss 1.7332 (1.7429)	Prec@1 54.500 (53.597)	Prec@5 83.000 (82.881)
Epoch: [64][2280/9018]	Time 0.653 (0.620)	Data 0.001 (0.003)	Loss 1.9041 (1.7432)	Prec@1 48.500 (53.594)	Prec@5 80.500 (82.882)
Epoch: [64][2290/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.8017 (1.7432)	Prec@1 47.000 (53.591)	Prec@5 82.000 (82.880)
Epoch: [64][2300/9018]	Time 0.627 (0.621)	Data 0.001 (0.003)	Loss 1.6035 (1.7433)	Prec@1 61.000 (53.591)	Prec@5 84.500 (82.883)
Epoch: [64][2310/9018]	Time 0.617 (0.620)	Data 0.001 (0.003)	Loss 1.7831 (1.7434)	Prec@1 53.000 (53.595)	Prec@5 81.500 (82.877)
Epoch: [64][2320/9018]	Time 0.599 (0.621)	Data 0.001 (0.003)	Loss 1.6210 (1.7432)	Prec@1 56.000 (53.598)	Prec@5 85.000 (82.880)
Epoch: [64][2330/9018]	Time 0.623 (0.621)	Data 0.001 (0.003)	Loss 1.6198 (1.7430)	Prec@1 54.000 (53.601)	Prec@5 83.500 (82.885)
Epoch: [64][2340/9018]	Time 0.611 (0.621)	Data 0.005 (0.003)	Loss 1.4975 (1.7430)	Prec@1 60.000 (53.599)	Prec@5 87.000 (82.887)
Epoch: [64][2350/9018]	Time 0.620 (0.621)	Data 0.001 (0.003)	Loss 1.7971 (1.7428)	Prec@1 47.500 (53.596)	Prec@5 86.000 (82.892)
Epoch: [64][2360/9018]	Time 0.618 (0.621)	Data 0.001 (0.003)	Loss 1.6988 (1.7429)	Prec@1 53.500 (53.594)	Prec@5 84.500 (82.892)
Epoch: [64][2370/9018]	Time 0.617 (0.621)	Data 0.017 (0.003)	Loss 1.6427 (1.7429)	Prec@1 57.000 (53.595)	Prec@5 84.500 (82.894)
Epoch: [64][2380/9018]	Time 0.623 (0.621)	Data 0.001 (0.003)	Loss 1.5634 (1.7427)	Prec@1 58.500 (53.601)	Prec@5 85.500 (82.895)
Epoch: [64][2390/9018]	Time 0.628 (0.621)	Data 0.001 (0.003)	Loss 1.8500 (1.7428)	Prec@1 52.500 (53.600)	Prec@5 79.000 (82.892)
Epoch: [64][2400/9018]	Time 0.636 (0.621)	Data 0.014 (0.003)	Loss 1.6630 (1.7432)	Prec@1 53.000 (53.592)	Prec@5 84.000 (82.888)
Epoch: [64][2410/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.8100 (1.7433)	Prec@1 51.000 (53.593)	Prec@5 86.500 (82.887)
Epoch: [64][2420/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.5437 (1.7431)	Prec@1 58.500 (53.601)	Prec@5 87.000 (82.890)
Epoch: [64][2430/9018]	Time 0.598 (0.621)	Data 0.001 (0.003)	Loss 1.7514 (1.7432)	Prec@1 53.000 (53.596)	Prec@5 85.000 (82.890)
Epoch: [64][2440/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.6562 (1.7431)	Prec@1 55.500 (53.595)	Prec@5 84.500 (82.890)
Epoch: [64][2450/9018]	Time 0.626 (0.621)	Data 0.001 (0.003)	Loss 1.5518 (1.7428)	Prec@1 54.500 (53.604)	Prec@5 87.500 (82.895)
Epoch: [64][2460/9018]	Time 0.601 (0.621)	Data 0.001 (0.003)	Loss 1.6603 (1.7428)	Prec@1 56.500 (53.605)	Prec@5 84.500 (82.897)
Epoch: [64][2470/9018]	Time 0.627 (0.621)	Data 0.001 (0.003)	Loss 1.8192 (1.7430)	Prec@1 56.000 (53.606)	Prec@5 82.500 (82.894)
Epoch: [64][2480/9018]	Time 0.737 (0.621)	Data 0.001 (0.003)	Loss 1.5845 (1.7427)	Prec@1 55.500 (53.611)	Prec@5 88.500 (82.902)
Epoch: [64][2490/9018]	Time 0.594 (0.621)	Data 0.001 (0.003)	Loss 1.6235 (1.7427)	Prec@1 55.500 (53.610)	Prec@5 80.500 (82.902)
Epoch: [64][2500/9018]	Time 0.620 (0.621)	Data 0.001 (0.003)	Loss 1.6179 (1.7425)	Prec@1 53.500 (53.612)	Prec@5 87.500 (82.905)
Epoch: [64][2510/9018]	Time 0.620 (0.621)	Data 0.001 (0.003)	Loss 1.7200 (1.7425)	Prec@1 54.000 (53.615)	Prec@5 84.000 (82.905)
Epoch: [64][2520/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.6923 (1.7425)	Prec@1 53.500 (53.615)	Prec@5 83.500 (82.906)
Epoch: [64][2530/9018]	Time 0.755 (0.621)	Data 0.001 (0.003)	Loss 1.7972 (1.7424)	Prec@1 50.500 (53.620)	Prec@5 83.000 (82.909)
Epoch: [64][2540/9018]	Time 0.628 (0.621)	Data 0.006 (0.003)	Loss 1.7621 (1.7423)	Prec@1 55.000 (53.624)	Prec@5 84.000 (82.910)
Epoch: [64][2550/9018]	Time 0.602 (0.621)	Data 0.001 (0.003)	Loss 1.8018 (1.7422)	Prec@1 53.500 (53.628)	Prec@5 81.000 (82.910)
Epoch: [64][2560/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.9484 (1.7423)	Prec@1 46.000 (53.624)	Prec@5 79.500 (82.906)
Epoch: [64][2570/9018]	Time 0.620 (0.621)	Data 0.001 (0.003)	Loss 1.7096 (1.7421)	Prec@1 56.500 (53.628)	Prec@5 86.000 (82.912)
Epoch: [64][2580/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.4794 (1.7423)	Prec@1 55.000 (53.621)	Prec@5 91.500 (82.909)
Epoch: [64][2590/9018]	Time 0.593 (0.621)	Data 0.001 (0.003)	Loss 1.8134 (1.7425)	Prec@1 52.000 (53.612)	Prec@5 81.000 (82.907)
Epoch: [64][2600/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.7704 (1.7425)	Prec@1 51.000 (53.612)	Prec@5 84.500 (82.909)
Epoch: [64][2610/9018]	Time 0.591 (0.621)	Data 0.001 (0.003)	Loss 1.8731 (1.7424)	Prec@1 50.500 (53.615)	Prec@5 83.000 (82.915)
Epoch: [64][2620/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.6034 (1.7425)	Prec@1 59.500 (53.614)	Prec@5 85.500 (82.917)
Epoch: [64][2630/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.7178 (1.7425)	Prec@1 56.000 (53.613)	Prec@5 83.000 (82.916)
Epoch: [64][2640/9018]	Time 0.637 (0.621)	Data 0.001 (0.003)	Loss 1.9373 (1.7427)	Prec@1 50.000 (53.612)	Prec@5 77.500 (82.914)
Epoch: [64][2650/9018]	Time 0.625 (0.621)	Data 0.001 (0.003)	Loss 1.9424 (1.7429)	Prec@1 52.000 (53.610)	Prec@5 79.500 (82.908)
Epoch: [64][2660/9018]	Time 0.638 (0.621)	Data 0.014 (0.003)	Loss 1.7448 (1.7429)	Prec@1 54.000 (53.614)	Prec@5 82.000 (82.908)
Epoch: [64][2670/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.8592 (1.7427)	Prec@1 52.500 (53.618)	Prec@5 81.000 (82.911)
Epoch: [64][2680/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.7155 (1.7426)	Prec@1 57.500 (53.619)	Prec@5 83.000 (82.912)
Epoch: [64][2690/9018]	Time 0.591 (0.621)	Data 0.001 (0.003)	Loss 1.6484 (1.7429)	Prec@1 58.000 (53.611)	Prec@5 82.000 (82.909)
Epoch: [64][2700/9018]	Time 0.617 (0.621)	Data 0.001 (0.003)	Loss 1.7579 (1.7428)	Prec@1 55.000 (53.612)	Prec@5 83.000 (82.910)
Epoch: [64][2710/9018]	Time 0.602 (0.621)	Data 0.001 (0.003)	Loss 1.6557 (1.7429)	Prec@1 52.500 (53.610)	Prec@5 83.500 (82.904)
Epoch: [64][2720/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.6190 (1.7429)	Prec@1 58.500 (53.611)	Prec@5 84.000 (82.904)
Epoch: [64][2730/9018]	Time 0.609 (0.621)	Data 0.001 (0.003)	Loss 1.5600 (1.7428)	Prec@1 57.000 (53.615)	Prec@5 88.000 (82.908)
Epoch: [64][2740/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.7618 (1.7429)	Prec@1 56.500 (53.616)	Prec@5 82.000 (82.907)
Epoch: [64][2750/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.6820 (1.7429)	Prec@1 57.000 (53.619)	Prec@5 82.500 (82.905)
Epoch: [64][2760/9018]	Time 0.591 (0.621)	Data 0.001 (0.003)	Loss 1.6784 (1.7429)	Prec@1 57.500 (53.624)	Prec@5 83.000 (82.903)
Epoch: [64][2770/9018]	Time 0.594 (0.621)	Data 0.001 (0.003)	Loss 1.7336 (1.7429)	Prec@1 56.500 (53.628)	Prec@5 86.000 (82.903)
Epoch: [64][2780/9018]	Time 0.646 (0.621)	Data 0.005 (0.003)	Loss 1.7660 (1.7429)	Prec@1 53.500 (53.625)	Prec@5 83.000 (82.906)
Epoch: [64][2790/9018]	Time 0.629 (0.621)	Data 0.001 (0.003)	Loss 1.7962 (1.7429)	Prec@1 53.000 (53.625)	Prec@5 81.000 (82.907)
Epoch: [64][2800/9018]	Time 0.613 (0.621)	Data 0.006 (0.003)	Loss 1.8470 (1.7430)	Prec@1 56.500 (53.624)	Prec@5 82.000 (82.900)
Epoch: [64][2810/9018]	Time 0.725 (0.621)	Data 0.001 (0.003)	Loss 1.8212 (1.7431)	Prec@1 53.000 (53.620)	Prec@5 81.500 (82.900)
Epoch: [64][2820/9018]	Time 0.625 (0.621)	Data 0.001 (0.003)	Loss 1.8462 (1.7431)	Prec@1 49.500 (53.620)	Prec@5 81.500 (82.898)
Epoch: [64][2830/9018]	Time 0.645 (0.621)	Data 0.001 (0.003)	Loss 1.7500 (1.7429)	Prec@1 55.000 (53.626)	Prec@5 81.500 (82.901)
Epoch: [64][2840/9018]	Time 0.616 (0.621)	Data 0.001 (0.003)	Loss 1.7332 (1.7431)	Prec@1 51.500 (53.620)	Prec@5 80.000 (82.894)
Epoch: [64][2850/9018]	Time 0.630 (0.621)	Data 0.001 (0.003)	Loss 1.7294 (1.7431)	Prec@1 52.000 (53.618)	Prec@5 81.500 (82.894)
Epoch: [64][2860/9018]	Time 0.743 (0.621)	Data 0.005 (0.003)	Loss 1.5990 (1.7430)	Prec@1 56.500 (53.622)	Prec@5 85.500 (82.897)
Epoch: [64][2870/9018]	Time 0.635 (0.621)	Data 0.001 (0.003)	Loss 1.6149 (1.7428)	Prec@1 54.500 (53.620)	Prec@5 85.000 (82.899)
Epoch: [64][2880/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.7940 (1.7429)	Prec@1 54.500 (53.623)	Prec@5 80.000 (82.898)
Epoch: [64][2890/9018]	Time 0.591 (0.621)	Data 0.001 (0.003)	Loss 1.6330 (1.7429)	Prec@1 53.000 (53.623)	Prec@5 83.000 (82.897)
Epoch: [64][2900/9018]	Time 0.619 (0.621)	Data 0.001 (0.003)	Loss 1.6496 (1.7430)	Prec@1 54.500 (53.618)	Prec@5 85.000 (82.895)
Epoch: [64][2910/9018]	Time 0.643 (0.621)	Data 0.001 (0.003)	Loss 1.5917 (1.7430)	Prec@1 60.000 (53.615)	Prec@5 84.000 (82.894)
Epoch: [64][2920/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 2.0157 (1.7432)	Prec@1 49.000 (53.614)	Prec@5 79.000 (82.893)
Epoch: [64][2930/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.6119 (1.7434)	Prec@1 60.500 (53.612)	Prec@5 82.000 (82.889)
Epoch: [64][2940/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.7360 (1.7435)	Prec@1 54.500 (53.610)	Prec@5 86.500 (82.888)
Epoch: [64][2950/9018]	Time 0.623 (0.621)	Data 0.001 (0.003)	Loss 1.8632 (1.7435)	Prec@1 53.000 (53.612)	Prec@5 79.500 (82.888)
Epoch: [64][2960/9018]	Time 0.601 (0.621)	Data 0.001 (0.003)	Loss 1.8448 (1.7436)	Prec@1 52.500 (53.615)	Prec@5 82.000 (82.890)
Epoch: [64][2970/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.8646 (1.7436)	Prec@1 51.000 (53.613)	Prec@5 78.500 (82.891)
Epoch: [64][2980/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.5757 (1.7434)	Prec@1 59.000 (53.623)	Prec@5 86.000 (82.892)
Epoch: [64][2990/9018]	Time 0.621 (0.621)	Data 0.015 (0.003)	Loss 1.7257 (1.7432)	Prec@1 53.000 (53.627)	Prec@5 82.500 (82.897)
Epoch: [64][3000/9018]	Time 0.629 (0.621)	Data 0.001 (0.003)	Loss 1.6186 (1.7433)	Prec@1 61.000 (53.626)	Prec@5 82.000 (82.895)
Epoch: [64][3010/9018]	Time 0.634 (0.621)	Data 0.016 (0.003)	Loss 1.9814 (1.7434)	Prec@1 47.000 (53.623)	Prec@5 77.000 (82.895)
Epoch: [64][3020/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.9095 (1.7434)	Prec@1 50.500 (53.622)	Prec@5 80.500 (82.896)
Epoch: [64][3030/9018]	Time 0.637 (0.621)	Data 0.001 (0.003)	Loss 1.8197 (1.7436)	Prec@1 52.500 (53.614)	Prec@5 81.000 (82.890)
Epoch: [64][3040/9018]	Time 0.624 (0.621)	Data 0.011 (0.003)	Loss 1.5687 (1.7437)	Prec@1 58.500 (53.613)	Prec@5 84.500 (82.887)
Epoch: [64][3050/9018]	Time 0.630 (0.621)	Data 0.001 (0.003)	Loss 1.6596 (1.7438)	Prec@1 55.000 (53.611)	Prec@5 82.500 (82.884)
Epoch: [64][3060/9018]	Time 0.592 (0.621)	Data 0.001 (0.003)	Loss 1.5847 (1.7438)	Prec@1 56.000 (53.612)	Prec@5 86.000 (82.887)
Epoch: [64][3070/9018]	Time 0.614 (0.621)	Data 0.001 (0.003)	Loss 1.6278 (1.7439)	Prec@1 58.000 (53.606)	Prec@5 85.500 (82.886)
Epoch: [64][3080/9018]	Time 0.627 (0.621)	Data 0.001 (0.003)	Loss 1.8182 (1.7440)	Prec@1 46.500 (53.598)	Prec@5 80.500 (82.882)
Epoch: [64][3090/9018]	Time 0.634 (0.621)	Data 0.001 (0.003)	Loss 1.6786 (1.7438)	Prec@1 54.000 (53.600)	Prec@5 80.500 (82.885)
Epoch: [64][3100/9018]	Time 0.614 (0.621)	Data 0.001 (0.003)	Loss 1.8138 (1.7437)	Prec@1 54.000 (53.600)	Prec@5 79.500 (82.887)
Epoch: [64][3110/9018]	Time 0.598 (0.621)	Data 0.001 (0.003)	Loss 1.8815 (1.7437)	Prec@1 49.000 (53.600)	Prec@5 82.000 (82.888)
Epoch: [64][3120/9018]	Time 0.624 (0.621)	Data 0.013 (0.003)	Loss 1.9047 (1.7438)	Prec@1 50.000 (53.596)	Prec@5 81.500 (82.885)
Epoch: [64][3130/9018]	Time 0.611 (0.621)	Data 0.007 (0.003)	Loss 1.7253 (1.7439)	Prec@1 54.500 (53.593)	Prec@5 80.500 (82.885)
Epoch: [64][3140/9018]	Time 0.764 (0.621)	Data 0.001 (0.003)	Loss 1.7124 (1.7439)	Prec@1 50.500 (53.593)	Prec@5 83.500 (82.885)
Epoch: [64][3150/9018]	Time 0.660 (0.621)	Data 0.001 (0.003)	Loss 1.5248 (1.7440)	Prec@1 56.500 (53.593)	Prec@5 88.500 (82.885)
Epoch: [64][3160/9018]	Time 0.615 (0.621)	Data 0.016 (0.003)	Loss 1.6943 (1.7441)	Prec@1 54.000 (53.591)	Prec@5 86.000 (82.885)
Epoch: [64][3170/9018]	Time 0.630 (0.621)	Data 0.001 (0.003)	Loss 1.6186 (1.7441)	Prec@1 59.000 (53.591)	Prec@5 83.500 (82.887)
Epoch: [64][3180/9018]	Time 0.609 (0.621)	Data 0.002 (0.003)	Loss 1.7858 (1.7442)	Prec@1 52.500 (53.587)	Prec@5 83.000 (82.887)
Epoch: [64][3190/9018]	Time 0.755 (0.621)	Data 0.013 (0.003)	Loss 1.5428 (1.7441)	Prec@1 58.000 (53.590)	Prec@5 85.500 (82.888)
Epoch: [64][3200/9018]	Time 0.593 (0.621)	Data 0.011 (0.003)	Loss 1.6750 (1.7439)	Prec@1 54.500 (53.594)	Prec@5 84.000 (82.890)
Epoch: [64][3210/9018]	Time 0.623 (0.621)	Data 0.001 (0.003)	Loss 1.7136 (1.7440)	Prec@1 51.000 (53.592)	Prec@5 82.500 (82.886)
Epoch: [64][3220/9018]	Time 0.607 (0.621)	Data 0.002 (0.003)	Loss 1.8688 (1.7441)	Prec@1 50.000 (53.588)	Prec@5 77.500 (82.882)
Epoch: [64][3230/9018]	Time 0.636 (0.621)	Data 0.001 (0.003)	Loss 1.9292 (1.7441)	Prec@1 47.000 (53.588)	Prec@5 78.500 (82.879)
Epoch: [64][3240/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.8085 (1.7440)	Prec@1 52.000 (53.595)	Prec@5 84.000 (82.882)
Epoch: [64][3250/9018]	Time 0.633 (0.621)	Data 0.001 (0.003)	Loss 1.5532 (1.7441)	Prec@1 61.500 (53.594)	Prec@5 85.500 (82.877)
Epoch: [64][3260/9018]	Time 0.585 (0.621)	Data 0.001 (0.003)	Loss 1.6354 (1.7441)	Prec@1 57.500 (53.595)	Prec@5 83.500 (82.876)
Epoch: [64][3270/9018]	Time 0.612 (0.621)	Data 0.001 (0.003)	Loss 1.7848 (1.7440)	Prec@1 50.500 (53.595)	Prec@5 78.500 (82.878)
Epoch: [64][3280/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.8096 (1.7443)	Prec@1 50.000 (53.590)	Prec@5 83.500 (82.874)
Epoch: [64][3290/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.6281 (1.7442)	Prec@1 53.000 (53.590)	Prec@5 85.500 (82.879)
Epoch: [64][3300/9018]	Time 0.614 (0.621)	Data 0.010 (0.003)	Loss 1.6710 (1.7443)	Prec@1 51.000 (53.586)	Prec@5 87.000 (82.880)
Epoch: [64][3310/9018]	Time 0.631 (0.621)	Data 0.012 (0.003)	Loss 1.8083 (1.7442)	Prec@1 53.500 (53.584)	Prec@5 82.500 (82.882)
Epoch: [64][3320/9018]	Time 0.609 (0.621)	Data 0.001 (0.003)	Loss 1.7149 (1.7442)	Prec@1 55.000 (53.590)	Prec@5 86.500 (82.887)
Epoch: [64][3330/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.6476 (1.7440)	Prec@1 57.000 (53.594)	Prec@5 85.000 (82.891)
Epoch: [64][3340/9018]	Time 0.638 (0.622)	Data 0.005 (0.003)	Loss 1.6419 (1.7440)	Prec@1 54.000 (53.593)	Prec@5 86.000 (82.889)
Epoch: [64][3350/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.8899 (1.7441)	Prec@1 50.000 (53.595)	Prec@5 80.000 (82.888)
Epoch: [64][3360/9018]	Time 0.621 (0.622)	Data 0.013 (0.003)	Loss 1.8210 (1.7442)	Prec@1 54.500 (53.593)	Prec@5 78.500 (82.886)
Epoch: [64][3370/9018]	Time 0.632 (0.622)	Data 0.001 (0.003)	Loss 1.6967 (1.7443)	Prec@1 54.500 (53.593)	Prec@5 84.000 (82.886)
Epoch: [64][3380/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.6834 (1.7442)	Prec@1 55.000 (53.594)	Prec@5 83.500 (82.887)
Epoch: [64][3390/9018]	Time 0.625 (0.622)	Data 0.002 (0.003)	Loss 1.6742 (1.7441)	Prec@1 53.000 (53.597)	Prec@5 86.000 (82.886)
Epoch: [64][3400/9018]	Time 0.637 (0.622)	Data 0.001 (0.003)	Loss 1.9466 (1.7441)	Prec@1 50.500 (53.599)	Prec@5 81.000 (82.886)
Epoch: [64][3410/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.7496 (1.7441)	Prec@1 56.500 (53.601)	Prec@5 84.000 (82.886)
Epoch: [64][3420/9018]	Time 0.632 (0.622)	Data 0.001 (0.003)	Loss 1.6865 (1.7440)	Prec@1 51.500 (53.600)	Prec@5 82.000 (82.887)
Epoch: [64][3430/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.5908 (1.7440)	Prec@1 55.500 (53.601)	Prec@5 84.500 (82.886)
Epoch: [64][3440/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.7891 (1.7440)	Prec@1 55.500 (53.603)	Prec@5 81.500 (82.886)
Epoch: [64][3450/9018]	Time 0.620 (0.622)	Data 0.009 (0.003)	Loss 1.9503 (1.7441)	Prec@1 47.000 (53.600)	Prec@5 82.500 (82.884)
Epoch: [64][3460/9018]	Time 0.642 (0.622)	Data 0.015 (0.003)	Loss 1.7854 (1.7441)	Prec@1 52.000 (53.602)	Prec@5 81.500 (82.882)
Epoch: [64][3470/9018]	Time 0.711 (0.622)	Data 0.001 (0.003)	Loss 1.7130 (1.7440)	Prec@1 55.000 (53.600)	Prec@5 85.000 (82.885)
Epoch: [64][3480/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.8315 (1.7439)	Prec@1 54.500 (53.600)	Prec@5 82.000 (82.884)
Epoch: [64][3490/9018]	Time 0.623 (0.622)	Data 0.015 (0.003)	Loss 1.8058 (1.7439)	Prec@1 51.000 (53.603)	Prec@5 85.000 (82.884)
Epoch: [64][3500/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.6392 (1.7439)	Prec@1 58.500 (53.605)	Prec@5 83.000 (82.883)
Epoch: [64][3510/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.7633 (1.7439)	Prec@1 50.000 (53.605)	Prec@5 83.000 (82.884)
Epoch: [64][3520/9018]	Time 0.759 (0.622)	Data 0.012 (0.003)	Loss 1.6547 (1.7439)	Prec@1 59.500 (53.605)	Prec@5 83.000 (82.884)
Epoch: [64][3530/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.7271 (1.7438)	Prec@1 59.000 (53.609)	Prec@5 82.500 (82.884)
Epoch: [64][3540/9018]	Time 0.635 (0.622)	Data 0.001 (0.003)	Loss 1.7466 (1.7437)	Prec@1 55.000 (53.611)	Prec@5 80.500 (82.885)
Epoch: [64][3550/9018]	Time 0.609 (0.622)	Data 0.016 (0.003)	Loss 2.1175 (1.7438)	Prec@1 46.500 (53.611)	Prec@5 75.500 (82.885)
Epoch: [64][3560/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.5983 (1.7438)	Prec@1 57.000 (53.611)	Prec@5 85.000 (82.885)
Epoch: [64][3570/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.8873 (1.7437)	Prec@1 52.000 (53.611)	Prec@5 81.500 (82.887)
Epoch: [64][3580/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.6599 (1.7438)	Prec@1 58.000 (53.613)	Prec@5 84.500 (82.887)
Epoch: [64][3590/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.7816 (1.7438)	Prec@1 53.500 (53.615)	Prec@5 81.000 (82.882)
Epoch: [64][3600/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.9899 (1.7438)	Prec@1 50.500 (53.619)	Prec@5 82.000 (82.883)
Epoch: [64][3610/9018]	Time 0.651 (0.622)	Data 0.017 (0.003)	Loss 1.9942 (1.7439)	Prec@1 52.500 (53.621)	Prec@5 77.000 (82.882)
Epoch: [64][3620/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.9498 (1.7440)	Prec@1 49.500 (53.620)	Prec@5 78.000 (82.878)
Epoch: [64][3630/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.6871 (1.7439)	Prec@1 56.500 (53.623)	Prec@5 85.500 (82.880)
Epoch: [64][3640/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 1.6491 (1.7438)	Prec@1 57.000 (53.627)	Prec@5 82.500 (82.880)
Epoch: [64][3650/9018]	Time 0.601 (0.622)	Data 0.004 (0.003)	Loss 1.6787 (1.7440)	Prec@1 52.000 (53.623)	Prec@5 82.500 (82.875)
Epoch: [64][3660/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.8140 (1.7441)	Prec@1 55.500 (53.621)	Prec@5 80.000 (82.872)
Epoch: [64][3670/9018]	Time 0.615 (0.622)	Data 0.015 (0.003)	Loss 1.7945 (1.7440)	Prec@1 46.000 (53.622)	Prec@5 83.500 (82.875)
Epoch: [64][3680/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.6523 (1.7439)	Prec@1 59.000 (53.624)	Prec@5 84.000 (82.876)
Epoch: [64][3690/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.7376 (1.7438)	Prec@1 56.000 (53.626)	Prec@5 82.000 (82.878)
Epoch: [64][3700/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.6407 (1.7439)	Prec@1 56.500 (53.624)	Prec@5 85.000 (82.880)
Epoch: [64][3710/9018]	Time 0.626 (0.622)	Data 0.015 (0.003)	Loss 1.9042 (1.7439)	Prec@1 51.500 (53.621)	Prec@5 80.500 (82.880)
Epoch: [64][3720/9018]	Time 0.618 (0.622)	Data 0.002 (0.003)	Loss 1.7823 (1.7439)	Prec@1 54.500 (53.621)	Prec@5 82.500 (82.881)
Epoch: [64][3730/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.8011 (1.7442)	Prec@1 52.000 (53.619)	Prec@5 82.500 (82.877)
Epoch: [64][3740/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.8061 (1.7440)	Prec@1 51.500 (53.621)	Prec@5 82.500 (82.880)
Epoch: [64][3750/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.5876 (1.7440)	Prec@1 58.000 (53.622)	Prec@5 85.500 (82.880)
Epoch: [64][3760/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.7169 (1.7442)	Prec@1 56.000 (53.616)	Prec@5 84.000 (82.877)
Epoch: [64][3770/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.7046 (1.7443)	Prec@1 57.000 (53.616)	Prec@5 83.000 (82.875)
Epoch: [64][3780/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.5620 (1.7443)	Prec@1 53.000 (53.613)	Prec@5 84.000 (82.876)
Epoch: [64][3790/9018]	Time 0.611 (0.622)	Data 0.005 (0.003)	Loss 2.0395 (1.7443)	Prec@1 46.000 (53.614)	Prec@5 76.500 (82.874)
Epoch: [64][3800/9018]	Time 0.711 (0.622)	Data 0.001 (0.003)	Loss 1.7012 (1.7442)	Prec@1 56.000 (53.619)	Prec@5 84.000 (82.875)
Epoch: [64][3810/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.5690 (1.7441)	Prec@1 59.500 (53.621)	Prec@5 86.000 (82.875)
Epoch: [64][3820/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.8197 (1.7442)	Prec@1 48.000 (53.618)	Prec@5 79.500 (82.873)
Epoch: [64][3830/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.6895 (1.7442)	Prec@1 58.500 (53.619)	Prec@5 82.000 (82.874)
Epoch: [64][3840/9018]	Time 0.640 (0.622)	Data 0.001 (0.003)	Loss 1.6565 (1.7444)	Prec@1 56.500 (53.612)	Prec@5 81.500 (82.871)
Epoch: [64][3850/9018]	Time 0.717 (0.622)	Data 0.001 (0.003)	Loss 1.7356 (1.7444)	Prec@1 53.500 (53.610)	Prec@5 83.000 (82.871)
Epoch: [64][3860/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 2.0766 (1.7446)	Prec@1 42.500 (53.604)	Prec@5 78.000 (82.868)
Epoch: [64][3870/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.5317 (1.7445)	Prec@1 61.000 (53.604)	Prec@5 86.500 (82.871)
Epoch: [64][3880/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.6208 (1.7445)	Prec@1 54.000 (53.602)	Prec@5 83.500 (82.870)
Epoch: [64][3890/9018]	Time 0.634 (0.622)	Data 0.001 (0.003)	Loss 1.8627 (1.7446)	Prec@1 51.000 (53.598)	Prec@5 81.000 (82.870)
Epoch: [64][3900/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.7602 (1.7445)	Prec@1 57.000 (53.602)	Prec@5 82.000 (82.870)
Epoch: [64][3910/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.6940 (1.7445)	Prec@1 52.000 (53.603)	Prec@5 84.000 (82.872)
Epoch: [64][3920/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.6998 (1.7445)	Prec@1 52.500 (53.601)	Prec@5 83.000 (82.870)
Epoch: [64][3930/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.5460 (1.7445)	Prec@1 59.000 (53.602)	Prec@5 84.500 (82.870)
Epoch: [64][3940/9018]	Time 0.610 (0.622)	Data 0.003 (0.003)	Loss 1.7222 (1.7446)	Prec@1 53.500 (53.597)	Prec@5 87.500 (82.870)
Epoch: [64][3950/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.6908 (1.7447)	Prec@1 58.000 (53.593)	Prec@5 84.500 (82.868)
Epoch: [64][3960/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.8031 (1.7448)	Prec@1 53.000 (53.590)	Prec@5 80.500 (82.866)
Epoch: [64][3970/9018]	Time 0.616 (0.622)	Data 0.015 (0.003)	Loss 1.9937 (1.7448)	Prec@1 49.000 (53.589)	Prec@5 81.000 (82.869)
Epoch: [64][3980/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.5867 (1.7449)	Prec@1 56.000 (53.586)	Prec@5 88.000 (82.866)
Epoch: [64][3990/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7763 (1.7450)	Prec@1 51.500 (53.585)	Prec@5 83.000 (82.865)
Epoch: [64][4000/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.6523 (1.7450)	Prec@1 57.000 (53.585)	Prec@5 83.000 (82.861)
Epoch: [64][4010/9018]	Time 0.607 (0.622)	Data 0.002 (0.003)	Loss 1.9111 (1.7450)	Prec@1 49.500 (53.589)	Prec@5 84.000 (82.863)
Epoch: [64][4020/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.6541 (1.7450)	Prec@1 59.000 (53.591)	Prec@5 83.000 (82.863)
Epoch: [64][4030/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.5557 (1.7448)	Prec@1 60.000 (53.593)	Prec@5 86.500 (82.867)
Epoch: [64][4040/9018]	Time 0.612 (0.622)	Data 0.015 (0.003)	Loss 1.6977 (1.7447)	Prec@1 56.500 (53.597)	Prec@5 84.000 (82.870)
Epoch: [64][4050/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.8566 (1.7447)	Prec@1 53.500 (53.598)	Prec@5 81.000 (82.868)
Epoch: [64][4060/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.8227 (1.7448)	Prec@1 52.500 (53.597)	Prec@5 79.500 (82.864)
Epoch: [64][4070/9018]	Time 0.612 (0.622)	Data 0.007 (0.003)	Loss 1.8554 (1.7449)	Prec@1 52.000 (53.597)	Prec@5 79.000 (82.863)
Epoch: [64][4080/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.6329 (1.7450)	Prec@1 55.000 (53.592)	Prec@5 86.500 (82.862)
Epoch: [64][4090/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 1.7082 (1.7449)	Prec@1 56.500 (53.599)	Prec@5 82.000 (82.863)
Epoch: [64][4100/9018]	Time 0.622 (0.622)	Data 0.010 (0.003)	Loss 1.7503 (1.7449)	Prec@1 56.500 (53.600)	Prec@5 85.000 (82.864)
Epoch: [64][4110/9018]	Time 0.635 (0.622)	Data 0.001 (0.003)	Loss 1.6466 (1.7448)	Prec@1 51.500 (53.601)	Prec@5 85.500 (82.865)
Epoch: [64][4120/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.8243 (1.7446)	Prec@1 52.000 (53.604)	Prec@5 84.500 (82.867)
Epoch: [64][4130/9018]	Time 0.744 (0.622)	Data 0.001 (0.003)	Loss 1.8140 (1.7446)	Prec@1 49.000 (53.606)	Prec@5 85.500 (82.868)
Epoch: [64][4140/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.8048 (1.7446)	Prec@1 53.000 (53.603)	Prec@5 83.500 (82.865)
Epoch: [64][4150/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.6983 (1.7446)	Prec@1 52.000 (53.603)	Prec@5 85.500 (82.868)
Epoch: [64][4160/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.4041 (1.7446)	Prec@1 62.500 (53.604)	Prec@5 85.000 (82.867)
Epoch: [64][4170/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.6556 (1.7447)	Prec@1 57.000 (53.605)	Prec@5 84.500 (82.863)
Epoch: [64][4180/9018]	Time 0.775 (0.622)	Data 0.001 (0.003)	Loss 1.7817 (1.7448)	Prec@1 56.500 (53.603)	Prec@5 82.500 (82.860)
Epoch: [64][4190/9018]	Time 0.660 (0.622)	Data 0.001 (0.003)	Loss 1.9254 (1.7450)	Prec@1 49.000 (53.597)	Prec@5 80.500 (82.855)
Epoch: [64][4200/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.6264 (1.7450)	Prec@1 53.500 (53.598)	Prec@5 84.000 (82.853)
Epoch: [64][4210/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.7755 (1.7449)	Prec@1 55.500 (53.600)	Prec@5 77.500 (82.852)
Epoch: [64][4220/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.7155 (1.7449)	Prec@1 49.000 (53.598)	Prec@5 81.500 (82.853)
Epoch: [64][4230/9018]	Time 0.637 (0.622)	Data 0.001 (0.003)	Loss 1.9173 (1.7448)	Prec@1 54.500 (53.600)	Prec@5 82.500 (82.854)
Epoch: [64][4240/9018]	Time 0.597 (0.622)	Data 0.005 (0.003)	Loss 1.7285 (1.7449)	Prec@1 56.000 (53.598)	Prec@5 79.500 (82.852)
Epoch: [64][4250/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.8055 (1.7449)	Prec@1 52.500 (53.596)	Prec@5 83.500 (82.851)
Epoch: [64][4260/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.7177 (1.7448)	Prec@1 54.500 (53.600)	Prec@5 80.500 (82.852)
Epoch: [64][4270/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7457 (1.7449)	Prec@1 55.500 (53.600)	Prec@5 81.500 (82.848)
Epoch: [64][4280/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.6289 (1.7449)	Prec@1 55.500 (53.600)	Prec@5 83.500 (82.849)
Epoch: [64][4290/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.6659 (1.7448)	Prec@1 55.500 (53.599)	Prec@5 85.500 (82.849)
Epoch: [64][4300/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.7442 (1.7448)	Prec@1 52.000 (53.596)	Prec@5 81.000 (82.847)
Epoch: [64][4310/9018]	Time 0.639 (0.622)	Data 0.001 (0.003)	Loss 1.7655 (1.7447)	Prec@1 53.000 (53.597)	Prec@5 83.000 (82.849)
Epoch: [64][4320/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.7391 (1.7447)	Prec@1 53.000 (53.598)	Prec@5 81.500 (82.848)
Epoch: [64][4330/9018]	Time 0.589 (0.622)	Data 0.001 (0.003)	Loss 1.9703 (1.7447)	Prec@1 49.000 (53.597)	Prec@5 81.000 (82.848)
Epoch: [64][4340/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.7748 (1.7446)	Prec@1 48.500 (53.598)	Prec@5 83.000 (82.848)
Epoch: [64][4350/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.9324 (1.7447)	Prec@1 52.000 (53.596)	Prec@5 78.500 (82.847)
Epoch: [64][4360/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.9062 (1.7448)	Prec@1 48.500 (53.595)	Prec@5 80.500 (82.844)
Epoch: [64][4370/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.8514 (1.7449)	Prec@1 49.500 (53.595)	Prec@5 81.500 (82.842)
Epoch: [64][4380/9018]	Time 0.672 (0.622)	Data 0.001 (0.003)	Loss 1.5913 (1.7448)	Prec@1 55.000 (53.595)	Prec@5 86.500 (82.841)
Epoch: [64][4390/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.6349 (1.7448)	Prec@1 55.000 (53.598)	Prec@5 82.500 (82.841)
Epoch: [64][4400/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.5098 (1.7448)	Prec@1 61.000 (53.599)	Prec@5 86.500 (82.842)
Epoch: [64][4410/9018]	Time 0.593 (0.622)	Data 0.002 (0.003)	Loss 1.8264 (1.7448)	Prec@1 52.000 (53.599)	Prec@5 80.500 (82.840)
Epoch: [64][4420/9018]	Time 0.606 (0.622)	Data 0.029 (0.003)	Loss 1.7458 (1.7448)	Prec@1 50.500 (53.600)	Prec@5 88.500 (82.840)
Epoch: [64][4430/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.8069 (1.7448)	Prec@1 53.000 (53.600)	Prec@5 81.000 (82.838)
Epoch: [64][4440/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.9037 (1.7448)	Prec@1 50.500 (53.598)	Prec@5 78.000 (82.838)
Epoch: [64][4450/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.8042 (1.7448)	Prec@1 56.000 (53.597)	Prec@5 81.500 (82.836)
Epoch: [64][4460/9018]	Time 0.720 (0.622)	Data 0.001 (0.003)	Loss 1.7468 (1.7447)	Prec@1 57.000 (53.597)	Prec@5 81.500 (82.837)
Epoch: [64][4470/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.6602 (1.7448)	Prec@1 54.500 (53.597)	Prec@5 85.000 (82.836)
Epoch: [64][4480/9018]	Time 0.635 (0.622)	Data 0.001 (0.003)	Loss 1.6165 (1.7447)	Prec@1 57.500 (53.598)	Prec@5 86.000 (82.839)
Epoch: [64][4490/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 1.8772 (1.7447)	Prec@1 52.000 (53.596)	Prec@5 81.500 (82.839)
Epoch: [64][4500/9018]	Time 0.615 (0.622)	Data 0.013 (0.003)	Loss 2.0760 (1.7447)	Prec@1 50.000 (53.597)	Prec@5 74.000 (82.840)
Epoch: [64][4510/9018]	Time 0.733 (0.622)	Data 0.001 (0.003)	Loss 1.6737 (1.7445)	Prec@1 53.500 (53.599)	Prec@5 86.500 (82.843)
Epoch: [64][4520/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.9685 (1.7446)	Prec@1 49.500 (53.599)	Prec@5 78.000 (82.844)
Epoch: [64][4530/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.8129 (1.7447)	Prec@1 48.500 (53.595)	Prec@5 82.500 (82.843)
Epoch: [64][4540/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.6312 (1.7447)	Prec@1 56.000 (53.597)	Prec@5 85.000 (82.843)
Epoch: [64][4550/9018]	Time 0.619 (0.622)	Data 0.020 (0.003)	Loss 1.6485 (1.7447)	Prec@1 56.000 (53.595)	Prec@5 87.000 (82.845)
Epoch: [64][4560/9018]	Time 0.629 (0.622)	Data 0.004 (0.003)	Loss 1.8010 (1.7447)	Prec@1 51.500 (53.594)	Prec@5 81.000 (82.844)
Epoch: [64][4570/9018]	Time 0.647 (0.622)	Data 0.009 (0.003)	Loss 1.7129 (1.7447)	Prec@1 54.000 (53.595)	Prec@5 81.000 (82.846)
Epoch: [64][4580/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7596 (1.7448)	Prec@1 54.000 (53.593)	Prec@5 82.000 (82.846)
Epoch: [64][4590/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.6722 (1.7447)	Prec@1 55.500 (53.593)	Prec@5 84.000 (82.846)
Epoch: [64][4600/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.6857 (1.7447)	Prec@1 59.000 (53.596)	Prec@5 82.500 (82.847)
Epoch: [64][4610/9018]	Time 0.632 (0.622)	Data 0.001 (0.003)	Loss 1.8572 (1.7448)	Prec@1 48.500 (53.594)	Prec@5 80.500 (82.844)
Epoch: [64][4620/9018]	Time 0.634 (0.622)	Data 0.001 (0.003)	Loss 1.4532 (1.7448)	Prec@1 60.000 (53.594)	Prec@5 86.000 (82.843)
Epoch: [64][4630/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.8440 (1.7449)	Prec@1 57.500 (53.594)	Prec@5 80.500 (82.842)
Epoch: [64][4640/9018]	Time 0.612 (0.622)	Data 0.014 (0.003)	Loss 1.6920 (1.7448)	Prec@1 55.500 (53.596)	Prec@5 84.500 (82.842)
Epoch: [64][4650/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7165 (1.7449)	Prec@1 54.500 (53.596)	Prec@5 85.000 (82.840)
Epoch: [64][4660/9018]	Time 0.640 (0.622)	Data 0.001 (0.003)	Loss 1.6524 (1.7449)	Prec@1 58.500 (53.595)	Prec@5 85.000 (82.840)
Epoch: [64][4670/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.9895 (1.7449)	Prec@1 49.000 (53.595)	Prec@5 81.000 (82.841)
Epoch: [64][4680/9018]	Time 0.589 (0.622)	Data 0.001 (0.003)	Loss 1.6935 (1.7449)	Prec@1 51.000 (53.595)	Prec@5 84.000 (82.840)
Epoch: [64][4690/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 2.0044 (1.7450)	Prec@1 50.500 (53.594)	Prec@5 83.000 (82.841)
Epoch: [64][4700/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.6888 (1.7450)	Prec@1 51.500 (53.593)	Prec@5 83.500 (82.842)
Epoch: [64][4710/9018]	Time 0.655 (0.622)	Data 0.001 (0.003)	Loss 1.9125 (1.7451)	Prec@1 52.000 (53.594)	Prec@5 78.000 (82.841)
Epoch: [64][4720/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.6660 (1.7451)	Prec@1 55.500 (53.593)	Prec@5 85.500 (82.841)
Epoch: [64][4730/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6413 (1.7451)	Prec@1 56.500 (53.591)	Prec@5 86.000 (82.841)
Epoch: [64][4740/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.8320 (1.7451)	Prec@1 52.000 (53.592)	Prec@5 82.500 (82.840)
Epoch: [64][4750/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.9420 (1.7452)	Prec@1 49.000 (53.589)	Prec@5 80.500 (82.836)
Epoch: [64][4760/9018]	Time 0.619 (0.622)	Data 0.002 (0.003)	Loss 1.7982 (1.7452)	Prec@1 49.500 (53.593)	Prec@5 79.500 (82.836)
Epoch: [64][4770/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.9731 (1.7451)	Prec@1 47.000 (53.594)	Prec@5 78.500 (82.835)
Epoch: [64][4780/9018]	Time 0.616 (0.622)	Data 0.016 (0.003)	Loss 1.6621 (1.7451)	Prec@1 55.000 (53.595)	Prec@5 85.500 (82.836)
Epoch: [64][4790/9018]	Time 0.777 (0.622)	Data 0.001 (0.003)	Loss 1.7656 (1.7452)	Prec@1 53.500 (53.594)	Prec@5 82.500 (82.835)
Epoch: [64][4800/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.7857 (1.7451)	Prec@1 57.000 (53.600)	Prec@5 82.000 (82.838)
Epoch: [64][4810/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.8160 (1.7451)	Prec@1 54.000 (53.598)	Prec@5 83.000 (82.836)
Epoch: [64][4820/9018]	Time 0.639 (0.622)	Data 0.001 (0.003)	Loss 1.8209 (1.7452)	Prec@1 55.500 (53.598)	Prec@5 79.500 (82.833)
Epoch: [64][4830/9018]	Time 0.643 (0.622)	Data 0.001 (0.003)	Loss 1.8258 (1.7452)	Prec@1 49.500 (53.598)	Prec@5 82.000 (82.835)
Epoch: [64][4840/9018]	Time 0.749 (0.622)	Data 0.001 (0.003)	Loss 1.8578 (1.7452)	Prec@1 53.000 (53.599)	Prec@5 79.000 (82.833)
Epoch: [64][4850/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.8216 (1.7451)	Prec@1 50.500 (53.598)	Prec@5 84.000 (82.833)
Epoch: [64][4860/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6590 (1.7451)	Prec@1 55.500 (53.597)	Prec@5 87.000 (82.833)
Epoch: [64][4870/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7100 (1.7451)	Prec@1 53.000 (53.597)	Prec@5 82.500 (82.832)
Epoch: [64][4880/9018]	Time 0.606 (0.622)	Data 0.015 (0.003)	Loss 1.9002 (1.7451)	Prec@1 50.500 (53.596)	Prec@5 85.500 (82.835)
Epoch: [64][4890/9018]	Time 0.624 (0.622)	Data 0.007 (0.003)	Loss 1.6906 (1.7451)	Prec@1 53.000 (53.594)	Prec@5 84.000 (82.834)
Epoch: [64][4900/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.8353 (1.7452)	Prec@1 49.500 (53.591)	Prec@5 78.500 (82.831)
Epoch: [64][4910/9018]	Time 0.613 (0.622)	Data 0.004 (0.003)	Loss 1.8669 (1.7453)	Prec@1 48.500 (53.587)	Prec@5 82.500 (82.830)
Epoch: [64][4920/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7349 (1.7453)	Prec@1 52.500 (53.584)	Prec@5 85.500 (82.831)
Epoch: [64][4930/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.8124 (1.7453)	Prec@1 52.500 (53.583)	Prec@5 79.000 (82.831)
Epoch: [64][4940/9018]	Time 0.638 (0.622)	Data 0.015 (0.003)	Loss 1.6804 (1.7452)	Prec@1 56.000 (53.585)	Prec@5 84.500 (82.832)
Epoch: [64][4950/9018]	Time 0.635 (0.622)	Data 0.014 (0.003)	Loss 1.7391 (1.7453)	Prec@1 50.000 (53.585)	Prec@5 82.500 (82.830)
Epoch: [64][4960/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.7619 (1.7453)	Prec@1 52.000 (53.582)	Prec@5 81.500 (82.830)
Epoch: [64][4970/9018]	Time 0.602 (0.622)	Data 0.014 (0.003)	Loss 1.6820 (1.7454)	Prec@1 59.000 (53.582)	Prec@5 82.000 (82.831)
Epoch: [64][4980/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.8811 (1.7455)	Prec@1 51.000 (53.581)	Prec@5 82.500 (82.830)
Epoch: [64][4990/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.7367 (1.7456)	Prec@1 49.000 (53.579)	Prec@5 85.500 (82.831)
Epoch: [64][5000/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.6505 (1.7455)	Prec@1 57.000 (53.583)	Prec@5 83.500 (82.832)
Epoch: [64][5010/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.7900 (1.7455)	Prec@1 53.000 (53.583)	Prec@5 78.000 (82.833)
Epoch: [64][5020/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.8279 (1.7456)	Prec@1 53.000 (53.582)	Prec@5 80.000 (82.830)
Epoch: [64][5030/9018]	Time 0.649 (0.622)	Data 0.001 (0.003)	Loss 1.4705 (1.7455)	Prec@1 54.500 (53.584)	Prec@5 90.500 (82.832)
Epoch: [64][5040/9018]	Time 0.613 (0.622)	Data 0.003 (0.003)	Loss 1.8616 (1.7456)	Prec@1 46.500 (53.582)	Prec@5 79.500 (82.828)
Epoch: [64][5050/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.8224 (1.7457)	Prec@1 55.000 (53.581)	Prec@5 82.000 (82.827)
Epoch: [64][5060/9018]	Time 0.624 (0.622)	Data 0.014 (0.003)	Loss 1.7608 (1.7457)	Prec@1 53.000 (53.578)	Prec@5 81.500 (82.827)
Epoch: [64][5070/9018]	Time 0.756 (0.622)	Data 0.003 (0.003)	Loss 1.8154 (1.7457)	Prec@1 51.000 (53.578)	Prec@5 80.000 (82.830)
Epoch: [64][5080/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.7424 (1.7456)	Prec@1 52.000 (53.577)	Prec@5 83.000 (82.831)
Epoch: [64][5090/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 2.1315 (1.7456)	Prec@1 41.000 (53.575)	Prec@5 74.000 (82.829)
Epoch: [64][5100/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.8172 (1.7457)	Prec@1 51.000 (53.573)	Prec@5 80.500 (82.828)
Epoch: [64][5110/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.7873 (1.7458)	Prec@1 49.500 (53.570)	Prec@5 81.500 (82.826)
Epoch: [64][5120/9018]	Time 0.750 (0.622)	Data 0.001 (0.003)	Loss 1.8140 (1.7459)	Prec@1 47.500 (53.569)	Prec@5 87.000 (82.826)
Epoch: [64][5130/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.6314 (1.7458)	Prec@1 53.000 (53.574)	Prec@5 86.500 (82.826)
Epoch: [64][5140/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.5816 (1.7459)	Prec@1 55.500 (53.573)	Prec@5 86.500 (82.827)
Epoch: [64][5150/9018]	Time 0.614 (0.622)	Data 0.015 (0.003)	Loss 1.8195 (1.7459)	Prec@1 51.000 (53.572)	Prec@5 85.000 (82.827)
Epoch: [64][5160/9018]	Time 0.608 (0.622)	Data 0.007 (0.003)	Loss 1.8681 (1.7459)	Prec@1 52.000 (53.572)	Prec@5 81.500 (82.826)
Epoch: [64][5170/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.7040 (1.7459)	Prec@1 58.500 (53.574)	Prec@5 84.500 (82.826)
Epoch: [64][5180/9018]	Time 0.634 (0.622)	Data 0.001 (0.003)	Loss 1.9623 (1.7460)	Prec@1 47.000 (53.572)	Prec@5 77.000 (82.825)
Epoch: [64][5190/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.8719 (1.7460)	Prec@1 50.000 (53.571)	Prec@5 78.000 (82.823)
Epoch: [64][5200/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.6640 (1.7460)	Prec@1 57.000 (53.576)	Prec@5 81.000 (82.824)
Epoch: [64][5210/9018]	Time 0.612 (0.622)	Data 0.017 (0.003)	Loss 1.8405 (1.7460)	Prec@1 56.000 (53.577)	Prec@5 77.500 (82.822)
Epoch: [64][5220/9018]	Time 0.650 (0.622)	Data 0.001 (0.003)	Loss 1.7010 (1.7460)	Prec@1 56.000 (53.574)	Prec@5 82.500 (82.821)
Epoch: [64][5230/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.9157 (1.7460)	Prec@1 47.000 (53.574)	Prec@5 82.000 (82.822)
Epoch: [64][5240/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.8374 (1.7460)	Prec@1 55.000 (53.574)	Prec@5 78.000 (82.823)
Epoch: [64][5250/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7864 (1.7459)	Prec@1 55.000 (53.577)	Prec@5 83.500 (82.825)
Epoch: [64][5260/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.8408 (1.7460)	Prec@1 48.000 (53.571)	Prec@5 83.500 (82.823)
Epoch: [64][5270/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.8365 (1.7460)	Prec@1 52.000 (53.573)	Prec@5 82.500 (82.823)
Epoch: [64][5280/9018]	Time 0.613 (0.622)	Data 0.009 (0.003)	Loss 1.7444 (1.7461)	Prec@1 53.500 (53.574)	Prec@5 81.500 (82.821)
Epoch: [64][5290/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.8650 (1.7461)	Prec@1 52.000 (53.574)	Prec@5 84.000 (82.821)
Epoch: [64][5300/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.6691 (1.7462)	Prec@1 54.500 (53.573)	Prec@5 85.000 (82.819)
Epoch: [64][5310/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.6839 (1.7462)	Prec@1 55.500 (53.573)	Prec@5 84.500 (82.819)
Epoch: [64][5320/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.7005 (1.7463)	Prec@1 54.000 (53.572)	Prec@5 81.500 (82.815)
Epoch: [64][5330/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.7859 (1.7463)	Prec@1 50.000 (53.570)	Prec@5 81.500 (82.815)
Epoch: [64][5340/9018]	Time 0.604 (0.622)	Data 0.014 (0.003)	Loss 2.0098 (1.7463)	Prec@1 47.000 (53.571)	Prec@5 76.500 (82.815)
Epoch: [64][5350/9018]	Time 0.625 (0.622)	Data 0.010 (0.003)	Loss 1.6303 (1.7463)	Prec@1 57.500 (53.571)	Prec@5 83.000 (82.817)
Epoch: [64][5360/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.9499 (1.7463)	Prec@1 50.500 (53.570)	Prec@5 80.500 (82.818)
Epoch: [64][5370/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.5596 (1.7463)	Prec@1 55.000 (53.570)	Prec@5 87.000 (82.818)
Epoch: [64][5380/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.9018 (1.7464)	Prec@1 52.000 (53.568)	Prec@5 77.500 (82.816)
Epoch: [64][5390/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.8275 (1.7465)	Prec@1 50.500 (53.564)	Prec@5 79.000 (82.812)
Epoch: [64][5400/9018]	Time 0.765 (0.622)	Data 0.001 (0.003)	Loss 2.0608 (1.7465)	Prec@1 47.500 (53.565)	Prec@5 78.000 (82.812)
Epoch: [64][5410/9018]	Time 0.634 (0.622)	Data 0.014 (0.003)	Loss 1.7046 (1.7466)	Prec@1 53.500 (53.563)	Prec@5 86.500 (82.812)
Epoch: [64][5420/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.7698 (1.7466)	Prec@1 51.500 (53.564)	Prec@5 84.500 (82.812)
Epoch: [64][5430/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.7750 (1.7467)	Prec@1 51.500 (53.564)	Prec@5 80.000 (82.810)
Epoch: [64][5440/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.6420 (1.7466)	Prec@1 52.500 (53.564)	Prec@5 84.500 (82.813)
Epoch: [64][5450/9018]	Time 0.741 (0.622)	Data 0.001 (0.003)	Loss 1.7401 (1.7466)	Prec@1 52.500 (53.563)	Prec@5 83.000 (82.811)
Epoch: [64][5460/9018]	Time 0.633 (0.622)	Data 0.005 (0.003)	Loss 1.8533 (1.7466)	Prec@1 52.000 (53.564)	Prec@5 81.500 (82.810)
Epoch: [64][5470/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.6893 (1.7466)	Prec@1 54.500 (53.566)	Prec@5 86.000 (82.811)
Epoch: [64][5480/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.8759 (1.7467)	Prec@1 52.500 (53.566)	Prec@5 80.000 (82.811)
Epoch: [64][5490/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.6962 (1.7467)	Prec@1 55.500 (53.567)	Prec@5 87.500 (82.811)
Epoch: [64][5500/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.5919 (1.7466)	Prec@1 53.000 (53.569)	Prec@5 86.500 (82.812)
Epoch: [64][5510/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.7391 (1.7465)	Prec@1 56.500 (53.570)	Prec@5 81.000 (82.813)
Epoch: [64][5520/9018]	Time 0.646 (0.622)	Data 0.001 (0.003)	Loss 1.8714 (1.7465)	Prec@1 48.500 (53.569)	Prec@5 79.000 (82.813)
Epoch: [64][5530/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.6954 (1.7465)	Prec@1 57.000 (53.569)	Prec@5 80.500 (82.814)
Epoch: [64][5540/9018]	Time 0.607 (0.622)	Data 0.013 (0.003)	Loss 1.8481 (1.7465)	Prec@1 52.000 (53.569)	Prec@5 81.500 (82.815)
Epoch: [64][5550/9018]	Time 0.634 (0.622)	Data 0.004 (0.003)	Loss 1.7333 (1.7464)	Prec@1 55.000 (53.571)	Prec@5 82.500 (82.817)
Epoch: [64][5560/9018]	Time 0.634 (0.622)	Data 0.001 (0.003)	Loss 1.7938 (1.7464)	Prec@1 52.000 (53.571)	Prec@5 84.000 (82.818)
Epoch: [64][5570/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.9434 (1.7464)	Prec@1 51.500 (53.568)	Prec@5 78.000 (82.817)
Epoch: [64][5580/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7932 (1.7465)	Prec@1 53.000 (53.565)	Prec@5 80.500 (82.815)
Epoch: [64][5590/9018]	Time 0.619 (0.622)	Data 0.009 (0.003)	Loss 1.6925 (1.7465)	Prec@1 53.000 (53.567)	Prec@5 85.500 (82.815)
Epoch: [64][5600/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.7223 (1.7464)	Prec@1 52.000 (53.570)	Prec@5 85.000 (82.817)
Epoch: [64][5610/9018]	Time 0.645 (0.622)	Data 0.012 (0.003)	Loss 1.6396 (1.7464)	Prec@1 59.000 (53.574)	Prec@5 82.500 (82.817)
Epoch: [64][5620/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.7024 (1.7463)	Prec@1 51.000 (53.575)	Prec@5 81.500 (82.818)
Epoch: [64][5630/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.8185 (1.7464)	Prec@1 51.500 (53.574)	Prec@5 81.000 (82.817)
Epoch: [64][5640/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.5892 (1.7463)	Prec@1 58.000 (53.576)	Prec@5 87.000 (82.819)
Epoch: [64][5650/9018]	Time 0.599 (0.622)	Data 0.005 (0.003)	Loss 1.8966 (1.7462)	Prec@1 51.000 (53.579)	Prec@5 78.500 (82.821)
Epoch: [64][5660/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.6081 (1.7462)	Prec@1 54.000 (53.579)	Prec@5 86.000 (82.822)
Epoch: [64][5670/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.6459 (1.7462)	Prec@1 57.000 (53.579)	Prec@5 86.500 (82.822)
Epoch: [64][5680/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.7620 (1.7461)	Prec@1 57.500 (53.581)	Prec@5 81.500 (82.824)
Epoch: [64][5690/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.6411 (1.7461)	Prec@1 57.000 (53.582)	Prec@5 87.000 (82.827)
Epoch: [64][5700/9018]	Time 0.636 (0.622)	Data 0.001 (0.003)	Loss 1.4050 (1.7462)	Prec@1 61.000 (53.581)	Prec@5 91.500 (82.824)
Epoch: [64][5710/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.7538 (1.7461)	Prec@1 55.500 (53.583)	Prec@5 82.000 (82.824)
Epoch: [64][5720/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.6198 (1.7461)	Prec@1 56.000 (53.582)	Prec@5 82.500 (82.824)
Epoch: [64][5730/9018]	Time 0.748 (0.622)	Data 0.001 (0.003)	Loss 1.6850 (1.7460)	Prec@1 55.500 (53.584)	Prec@5 83.500 (82.826)
Epoch: [64][5740/9018]	Time 0.615 (0.622)	Data 0.013 (0.003)	Loss 1.8236 (1.7459)	Prec@1 54.500 (53.588)	Prec@5 81.000 (82.827)
Epoch: [64][5750/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.8549 (1.7459)	Prec@1 50.000 (53.586)	Prec@5 81.000 (82.827)
Epoch: [64][5760/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.6283 (1.7459)	Prec@1 55.000 (53.586)	Prec@5 83.000 (82.826)
Epoch: [64][5770/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.6858 (1.7458)	Prec@1 52.000 (53.588)	Prec@5 85.500 (82.828)
Epoch: [64][5780/9018]	Time 0.726 (0.622)	Data 0.001 (0.003)	Loss 1.9078 (1.7459)	Prec@1 51.000 (53.586)	Prec@5 80.500 (82.828)
Epoch: [64][5790/9018]	Time 0.600 (0.622)	Data 0.016 (0.003)	Loss 1.9070 (1.7459)	Prec@1 56.500 (53.589)	Prec@5 78.000 (82.825)
Epoch: [64][5800/9018]	Time 0.631 (0.622)	Data 0.005 (0.003)	Loss 1.5097 (1.7459)	Prec@1 56.500 (53.592)	Prec@5 85.000 (82.826)
Epoch: [64][5810/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.8296 (1.7459)	Prec@1 52.500 (53.591)	Prec@5 78.500 (82.826)
Epoch: [64][5820/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7527 (1.7460)	Prec@1 56.000 (53.591)	Prec@5 80.500 (82.824)
Epoch: [64][5830/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.9087 (1.7461)	Prec@1 52.500 (53.589)	Prec@5 79.000 (82.819)
Epoch: [64][5840/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8965 (1.7462)	Prec@1 51.000 (53.587)	Prec@5 80.000 (82.819)
Epoch: [64][5850/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.7456 (1.7464)	Prec@1 49.500 (53.582)	Prec@5 83.500 (82.816)
Epoch: [64][5860/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.7754 (1.7465)	Prec@1 50.000 (53.581)	Prec@5 82.000 (82.814)
Epoch: [64][5870/9018]	Time 0.643 (0.622)	Data 0.001 (0.003)	Loss 1.6699 (1.7465)	Prec@1 57.000 (53.582)	Prec@5 87.000 (82.813)
Epoch: [64][5880/9018]	Time 0.626 (0.622)	Data 0.016 (0.003)	Loss 1.7969 (1.7466)	Prec@1 50.500 (53.577)	Prec@5 81.500 (82.812)
Epoch: [64][5890/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.9477 (1.7466)	Prec@1 48.000 (53.579)	Prec@5 78.500 (82.811)
Epoch: [64][5900/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.8442 (1.7467)	Prec@1 53.000 (53.577)	Prec@5 81.000 (82.809)
Epoch: [64][5910/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.8220 (1.7469)	Prec@1 56.000 (53.573)	Prec@5 77.500 (82.806)
Epoch: [64][5920/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.7000 (1.7469)	Prec@1 52.500 (53.570)	Prec@5 82.500 (82.806)
Epoch: [64][5930/9018]	Time 0.628 (0.622)	Data 0.013 (0.003)	Loss 1.6800 (1.7468)	Prec@1 57.000 (53.572)	Prec@5 81.000 (82.807)
Epoch: [64][5940/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.8302 (1.7468)	Prec@1 55.000 (53.572)	Prec@5 81.500 (82.807)
Epoch: [64][5950/9018]	Time 0.612 (0.622)	Data 0.011 (0.003)	Loss 1.9030 (1.7469)	Prec@1 50.500 (53.568)	Prec@5 81.000 (82.804)
Epoch: [64][5960/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7033 (1.7468)	Prec@1 50.500 (53.569)	Prec@5 85.000 (82.806)
Epoch: [64][5970/9018]	Time 0.636 (0.622)	Data 0.001 (0.003)	Loss 1.7709 (1.7469)	Prec@1 53.000 (53.567)	Prec@5 83.500 (82.804)
Epoch: [64][5980/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.8809 (1.7469)	Prec@1 48.500 (53.569)	Prec@5 81.000 (82.804)
Epoch: [64][5990/9018]	Time 0.606 (0.623)	Data 0.016 (0.003)	Loss 1.6150 (1.7468)	Prec@1 59.500 (53.571)	Prec@5 84.000 (82.804)
Epoch: [64][6000/9018]	Time 0.633 (0.623)	Data 0.014 (0.003)	Loss 1.7833 (1.7469)	Prec@1 51.500 (53.569)	Prec@5 83.500 (82.804)
Epoch: [64][6010/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.8483 (1.7468)	Prec@1 51.000 (53.569)	Prec@5 80.500 (82.804)
Epoch: [64][6020/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.6296 (1.7468)	Prec@1 59.000 (53.570)	Prec@5 82.500 (82.805)
Epoch: [64][6030/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.8766 (1.7468)	Prec@1 54.500 (53.570)	Prec@5 81.000 (82.805)
Epoch: [64][6040/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.6860 (1.7468)	Prec@1 58.500 (53.568)	Prec@5 82.000 (82.804)
Epoch: [64][6050/9018]	Time 0.614 (0.623)	Data 0.004 (0.003)	Loss 1.8646 (1.7468)	Prec@1 49.000 (53.570)	Prec@5 83.000 (82.806)
Epoch: [64][6060/9018]	Time 0.750 (0.623)	Data 0.001 (0.003)	Loss 1.6926 (1.7467)	Prec@1 54.500 (53.569)	Prec@5 84.500 (82.807)
Epoch: [64][6070/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.6585 (1.7468)	Prec@1 58.000 (53.569)	Prec@5 83.500 (82.805)
Epoch: [64][6080/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7285 (1.7469)	Prec@1 51.500 (53.567)	Prec@5 86.000 (82.802)
Epoch: [64][6090/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.7277 (1.7470)	Prec@1 54.500 (53.563)	Prec@5 84.500 (82.802)
Epoch: [64][6100/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6131 (1.7470)	Prec@1 51.000 (53.561)	Prec@5 86.500 (82.802)
Epoch: [64][6110/9018]	Time 0.721 (0.623)	Data 0.001 (0.003)	Loss 1.6602 (1.7471)	Prec@1 56.500 (53.560)	Prec@5 84.500 (82.801)
Epoch: [64][6120/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.7065 (1.7470)	Prec@1 53.000 (53.561)	Prec@5 85.500 (82.803)
Epoch: [64][6130/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7611 (1.7471)	Prec@1 52.500 (53.561)	Prec@5 82.500 (82.803)
Epoch: [64][6140/9018]	Time 0.652 (0.623)	Data 0.001 (0.003)	Loss 1.6587 (1.7471)	Prec@1 57.000 (53.561)	Prec@5 82.500 (82.801)
Epoch: [64][6150/9018]	Time 0.638 (0.623)	Data 0.013 (0.003)	Loss 1.6910 (1.7472)	Prec@1 57.500 (53.560)	Prec@5 82.500 (82.798)
Epoch: [64][6160/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7662 (1.7473)	Prec@1 50.500 (53.557)	Prec@5 82.000 (82.796)
Epoch: [64][6170/9018]	Time 0.593 (0.623)	Data 0.016 (0.003)	Loss 1.6649 (1.7474)	Prec@1 56.500 (53.558)	Prec@5 83.000 (82.794)
Epoch: [64][6180/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7730 (1.7473)	Prec@1 53.500 (53.559)	Prec@5 80.500 (82.796)
Epoch: [64][6190/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7904 (1.7472)	Prec@1 51.500 (53.561)	Prec@5 79.500 (82.797)
Epoch: [64][6200/9018]	Time 0.607 (0.623)	Data 0.013 (0.003)	Loss 1.8264 (1.7472)	Prec@1 54.500 (53.562)	Prec@5 79.000 (82.796)
Epoch: [64][6210/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.6349 (1.7472)	Prec@1 53.500 (53.563)	Prec@5 87.000 (82.796)
Epoch: [64][6220/9018]	Time 0.642 (0.623)	Data 0.016 (0.003)	Loss 1.6579 (1.7472)	Prec@1 55.000 (53.566)	Prec@5 84.500 (82.795)
Epoch: [64][6230/9018]	Time 0.607 (0.623)	Data 0.003 (0.003)	Loss 1.7092 (1.7470)	Prec@1 54.000 (53.568)	Prec@5 84.500 (82.799)
Epoch: [64][6240/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7616 (1.7471)	Prec@1 56.000 (53.566)	Prec@5 83.500 (82.799)
Epoch: [64][6250/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.6974 (1.7471)	Prec@1 50.500 (53.565)	Prec@5 85.000 (82.799)
Epoch: [64][6260/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7375 (1.7471)	Prec@1 53.500 (53.565)	Prec@5 83.500 (82.799)
Epoch: [64][6270/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7748 (1.7471)	Prec@1 51.500 (53.565)	Prec@5 86.500 (82.798)
Epoch: [64][6280/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.9784 (1.7472)	Prec@1 49.000 (53.566)	Prec@5 77.000 (82.795)
Epoch: [64][6290/9018]	Time 0.607 (0.623)	Data 0.015 (0.003)	Loss 1.5940 (1.7472)	Prec@1 56.000 (53.565)	Prec@5 83.500 (82.795)
Epoch: [64][6300/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7608 (1.7472)	Prec@1 50.000 (53.564)	Prec@5 84.500 (82.797)
Epoch: [64][6310/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.7229 (1.7471)	Prec@1 52.500 (53.564)	Prec@5 82.500 (82.799)
Epoch: [64][6320/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7279 (1.7471)	Prec@1 54.500 (53.566)	Prec@5 85.500 (82.799)
Epoch: [64][6330/9018]	Time 0.633 (0.623)	Data 0.011 (0.003)	Loss 1.4288 (1.7469)	Prec@1 61.000 (53.568)	Prec@5 90.000 (82.803)
Epoch: [64][6340/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.5136 (1.7468)	Prec@1 60.000 (53.570)	Prec@5 84.500 (82.805)
Epoch: [64][6350/9018]	Time 0.649 (0.623)	Data 0.001 (0.003)	Loss 1.9337 (1.7469)	Prec@1 50.500 (53.569)	Prec@5 77.500 (82.803)
Epoch: [64][6360/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.8402 (1.7470)	Prec@1 49.500 (53.567)	Prec@5 80.000 (82.801)
Epoch: [64][6370/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6544 (1.7471)	Prec@1 56.500 (53.566)	Prec@5 84.500 (82.799)
Epoch: [64][6380/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.6015 (1.7470)	Prec@1 57.500 (53.567)	Prec@5 83.500 (82.799)
Epoch: [64][6390/9018]	Time 0.770 (0.623)	Data 0.001 (0.003)	Loss 2.0379 (1.7471)	Prec@1 46.500 (53.563)	Prec@5 77.000 (82.799)
Epoch: [64][6400/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.5273 (1.7471)	Prec@1 61.500 (53.563)	Prec@5 88.500 (82.799)
Epoch: [64][6410/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.9105 (1.7471)	Prec@1 47.500 (53.563)	Prec@5 82.500 (82.800)
Epoch: [64][6420/9018]	Time 0.623 (0.623)	Data 0.006 (0.003)	Loss 1.9046 (1.7470)	Prec@1 51.500 (53.565)	Prec@5 81.000 (82.802)
Epoch: [64][6430/9018]	Time 0.625 (0.623)	Data 0.005 (0.003)	Loss 1.7307 (1.7470)	Prec@1 50.000 (53.563)	Prec@5 85.500 (82.803)
Epoch: [64][6440/9018]	Time 0.714 (0.623)	Data 0.001 (0.003)	Loss 1.7937 (1.7469)	Prec@1 54.500 (53.568)	Prec@5 83.000 (82.805)
Epoch: [64][6450/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 2.0042 (1.7470)	Prec@1 46.000 (53.567)	Prec@5 78.000 (82.804)
Epoch: [64][6460/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.9172 (1.7471)	Prec@1 48.000 (53.563)	Prec@5 81.500 (82.802)
Epoch: [64][6470/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.8395 (1.7471)	Prec@1 51.000 (53.566)	Prec@5 81.000 (82.802)
Epoch: [64][6480/9018]	Time 0.603 (0.623)	Data 0.027 (0.003)	Loss 1.6052 (1.7470)	Prec@1 55.000 (53.568)	Prec@5 86.500 (82.805)
Epoch: [64][6490/9018]	Time 0.655 (0.623)	Data 0.001 (0.003)	Loss 1.6299 (1.7470)	Prec@1 55.000 (53.566)	Prec@5 87.000 (82.804)
Epoch: [64][6500/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.5558 (1.7471)	Prec@1 57.500 (53.565)	Prec@5 86.500 (82.803)
Epoch: [64][6510/9018]	Time 0.612 (0.623)	Data 0.013 (0.003)	Loss 1.7234 (1.7471)	Prec@1 53.500 (53.563)	Prec@5 79.500 (82.803)
Epoch: [64][6520/9018]	Time 0.616 (0.623)	Data 0.002 (0.003)	Loss 1.8699 (1.7472)	Prec@1 50.500 (53.562)	Prec@5 78.000 (82.801)
Epoch: [64][6530/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6926 (1.7472)	Prec@1 52.500 (53.563)	Prec@5 86.000 (82.802)
Epoch: [64][6540/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6377 (1.7471)	Prec@1 55.500 (53.563)	Prec@5 87.000 (82.803)
Epoch: [64][6550/9018]	Time 0.648 (0.623)	Data 0.001 (0.003)	Loss 1.9960 (1.7471)	Prec@1 47.000 (53.565)	Prec@5 83.000 (82.804)
Epoch: [64][6560/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 2.0337 (1.7472)	Prec@1 47.500 (53.563)	Prec@5 79.000 (82.802)
Epoch: [64][6570/9018]	Time 0.592 (0.623)	Data 0.002 (0.003)	Loss 1.7375 (1.7473)	Prec@1 56.500 (53.562)	Prec@5 80.500 (82.801)
Epoch: [64][6580/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6857 (1.7473)	Prec@1 55.000 (53.562)	Prec@5 86.500 (82.799)
Epoch: [64][6590/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7012 (1.7473)	Prec@1 54.500 (53.562)	Prec@5 84.500 (82.801)
Epoch: [64][6600/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.6906 (1.7472)	Prec@1 57.000 (53.564)	Prec@5 82.500 (82.801)
Epoch: [64][6610/9018]	Time 0.600 (0.623)	Data 0.007 (0.003)	Loss 1.6244 (1.7471)	Prec@1 57.000 (53.569)	Prec@5 82.000 (82.802)
Epoch: [64][6620/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6629 (1.7472)	Prec@1 57.500 (53.568)	Prec@5 84.000 (82.800)
Epoch: [64][6630/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.8190 (1.7471)	Prec@1 54.500 (53.572)	Prec@5 81.000 (82.802)
Epoch: [64][6640/9018]	Time 0.618 (0.623)	Data 0.008 (0.003)	Loss 1.8000 (1.7471)	Prec@1 55.000 (53.572)	Prec@5 82.000 (82.803)
Epoch: [64][6650/9018]	Time 0.647 (0.623)	Data 0.001 (0.003)	Loss 1.7830 (1.7471)	Prec@1 57.000 (53.570)	Prec@5 81.500 (82.802)
Epoch: [64][6660/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.5702 (1.7471)	Prec@1 55.000 (53.570)	Prec@5 87.000 (82.802)
Epoch: [64][6670/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.8152 (1.7472)	Prec@1 51.500 (53.569)	Prec@5 81.500 (82.801)
Epoch: [64][6680/9018]	Time 0.628 (0.623)	Data 0.007 (0.003)	Loss 1.8618 (1.7472)	Prec@1 54.500 (53.567)	Prec@5 77.500 (82.800)
Epoch: [64][6690/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7121 (1.7472)	Prec@1 53.000 (53.567)	Prec@5 82.500 (82.799)
Epoch: [64][6700/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6867 (1.7473)	Prec@1 56.500 (53.566)	Prec@5 86.000 (82.797)
Epoch: [64][6710/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.9817 (1.7472)	Prec@1 47.500 (53.567)	Prec@5 78.000 (82.798)
Epoch: [64][6720/9018]	Time 0.724 (0.623)	Data 0.001 (0.003)	Loss 1.8433 (1.7473)	Prec@1 52.000 (53.566)	Prec@5 80.000 (82.797)
Epoch: [64][6730/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7462 (1.7473)	Prec@1 56.000 (53.565)	Prec@5 81.000 (82.797)
Epoch: [64][6740/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.9075 (1.7473)	Prec@1 54.500 (53.565)	Prec@5 79.500 (82.796)
Epoch: [64][6750/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7941 (1.7472)	Prec@1 53.000 (53.568)	Prec@5 84.000 (82.797)
Epoch: [64][6760/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7485 (1.7472)	Prec@1 56.500 (53.570)	Prec@5 82.000 (82.797)
Epoch: [64][6770/9018]	Time 0.726 (0.623)	Data 0.001 (0.003)	Loss 1.6180 (1.7471)	Prec@1 55.500 (53.571)	Prec@5 87.500 (82.797)
Epoch: [64][6780/9018]	Time 0.644 (0.623)	Data 0.001 (0.003)	Loss 1.6656 (1.7471)	Prec@1 53.000 (53.572)	Prec@5 85.000 (82.799)
Epoch: [64][6790/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8031 (1.7473)	Prec@1 52.500 (53.569)	Prec@5 82.000 (82.797)
Epoch: [64][6800/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7119 (1.7473)	Prec@1 56.000 (53.568)	Prec@5 84.000 (82.798)
Epoch: [64][6810/9018]	Time 0.619 (0.623)	Data 0.007 (0.003)	Loss 1.6172 (1.7473)	Prec@1 58.000 (53.569)	Prec@5 86.500 (82.798)
Epoch: [64][6820/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.9604 (1.7473)	Prec@1 45.000 (53.567)	Prec@5 82.000 (82.798)
Epoch: [64][6830/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.6432 (1.7474)	Prec@1 55.000 (53.564)	Prec@5 87.500 (82.797)
Epoch: [64][6840/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.6732 (1.7473)	Prec@1 54.500 (53.566)	Prec@5 82.000 (82.799)
Epoch: [64][6850/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.6364 (1.7473)	Prec@1 58.000 (53.567)	Prec@5 83.000 (82.798)
Epoch: [64][6860/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.5483 (1.7472)	Prec@1 57.500 (53.568)	Prec@5 86.500 (82.800)
Epoch: [64][6870/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7984 (1.7472)	Prec@1 55.000 (53.570)	Prec@5 81.000 (82.798)
Epoch: [64][6880/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7816 (1.7471)	Prec@1 51.500 (53.572)	Prec@5 79.500 (82.801)
Epoch: [64][6890/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.8974 (1.7471)	Prec@1 46.500 (53.573)	Prec@5 82.000 (82.800)
Epoch: [64][6900/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8189 (1.7471)	Prec@1 51.500 (53.573)	Prec@5 81.500 (82.800)
Epoch: [64][6910/9018]	Time 0.627 (0.623)	Data 0.002 (0.003)	Loss 1.6749 (1.7471)	Prec@1 53.000 (53.576)	Prec@5 86.500 (82.800)
Epoch: [64][6920/9018]	Time 0.607 (0.623)	Data 0.015 (0.003)	Loss 2.0673 (1.7471)	Prec@1 45.500 (53.576)	Prec@5 78.000 (82.799)
Epoch: [64][6930/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.7481 (1.7471)	Prec@1 53.500 (53.575)	Prec@5 82.000 (82.800)
Epoch: [64][6940/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8416 (1.7471)	Prec@1 50.000 (53.575)	Prec@5 83.500 (82.800)
Epoch: [64][6950/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8751 (1.7471)	Prec@1 51.500 (53.576)	Prec@5 80.500 (82.801)
Epoch: [64][6960/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7301 (1.7471)	Prec@1 56.000 (53.577)	Prec@5 85.000 (82.800)
Epoch: [64][6970/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7244 (1.7471)	Prec@1 54.000 (53.578)	Prec@5 84.000 (82.800)
Epoch: [64][6980/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7449 (1.7472)	Prec@1 57.000 (53.577)	Prec@5 83.000 (82.797)
Epoch: [64][6990/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6877 (1.7472)	Prec@1 53.000 (53.577)	Prec@5 82.500 (82.797)
Epoch: [64][7000/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7685 (1.7473)	Prec@1 51.500 (53.573)	Prec@5 82.000 (82.794)
Epoch: [64][7010/9018]	Time 0.617 (0.623)	Data 0.007 (0.003)	Loss 1.9361 (1.7473)	Prec@1 47.000 (53.572)	Prec@5 83.000 (82.794)
Epoch: [64][7020/9018]	Time 0.622 (0.623)	Data 0.016 (0.003)	Loss 1.6978 (1.7474)	Prec@1 50.500 (53.569)	Prec@5 80.000 (82.792)
Epoch: [64][7030/9018]	Time 0.604 (0.623)	Data 0.007 (0.003)	Loss 1.6259 (1.7474)	Prec@1 54.500 (53.568)	Prec@5 86.500 (82.794)
Epoch: [64][7040/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.8942 (1.7475)	Prec@1 52.500 (53.567)	Prec@5 79.500 (82.791)
Epoch: [64][7050/9018]	Time 0.756 (0.623)	Data 0.015 (0.003)	Loss 1.7584 (1.7476)	Prec@1 55.000 (53.565)	Prec@5 81.500 (82.790)
Epoch: [64][7060/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7615 (1.7475)	Prec@1 53.500 (53.567)	Prec@5 85.500 (82.791)
Epoch: [64][7070/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.6716 (1.7476)	Prec@1 57.500 (53.566)	Prec@5 83.000 (82.787)
Epoch: [64][7080/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.5531 (1.7476)	Prec@1 58.000 (53.567)	Prec@5 84.500 (82.788)
Epoch: [64][7090/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8776 (1.7476)	Prec@1 52.000 (53.568)	Prec@5 81.500 (82.787)
Epoch: [64][7100/9018]	Time 0.770 (0.623)	Data 0.002 (0.003)	Loss 1.6030 (1.7476)	Prec@1 59.000 (53.571)	Prec@5 82.500 (82.787)
Epoch: [64][7110/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.8342 (1.7476)	Prec@1 55.000 (53.569)	Prec@5 84.000 (82.787)
Epoch: [64][7120/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7642 (1.7476)	Prec@1 52.500 (53.568)	Prec@5 82.500 (82.786)
Epoch: [64][7130/9018]	Time 0.623 (0.623)	Data 0.012 (0.003)	Loss 1.6850 (1.7476)	Prec@1 54.500 (53.568)	Prec@5 82.500 (82.787)
Epoch: [64][7140/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8023 (1.7475)	Prec@1 52.500 (53.571)	Prec@5 83.000 (82.789)
Epoch: [64][7150/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6923 (1.7475)	Prec@1 54.000 (53.572)	Prec@5 83.500 (82.789)
Epoch: [64][7160/9018]	Time 0.625 (0.623)	Data 0.016 (0.003)	Loss 1.7225 (1.7475)	Prec@1 53.500 (53.571)	Prec@5 84.500 (82.788)
Epoch: [64][7170/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.4580 (1.7475)	Prec@1 59.000 (53.573)	Prec@5 88.000 (82.789)
Epoch: [64][7180/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6583 (1.7475)	Prec@1 52.500 (53.571)	Prec@5 84.500 (82.788)
Epoch: [64][7190/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7043 (1.7475)	Prec@1 51.000 (53.570)	Prec@5 84.500 (82.788)
Epoch: [64][7200/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.8222 (1.7475)	Prec@1 49.000 (53.570)	Prec@5 82.000 (82.789)
Epoch: [64][7210/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8140 (1.7474)	Prec@1 50.500 (53.570)	Prec@5 81.000 (82.790)
Epoch: [64][7220/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.8002 (1.7474)	Prec@1 54.500 (53.571)	Prec@5 82.500 (82.790)
Epoch: [64][7230/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.8206 (1.7474)	Prec@1 53.500 (53.571)	Prec@5 82.000 (82.790)
Epoch: [64][7240/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.7395 (1.7474)	Prec@1 57.500 (53.573)	Prec@5 85.500 (82.791)
Epoch: [64][7250/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.7004 (1.7475)	Prec@1 56.000 (53.571)	Prec@5 81.500 (82.790)
Epoch: [64][7260/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.8931 (1.7475)	Prec@1 48.500 (53.570)	Prec@5 81.500 (82.789)
Epoch: [64][7270/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.4868 (1.7475)	Prec@1 56.500 (53.570)	Prec@5 91.000 (82.790)
Epoch: [64][7280/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.6570 (1.7475)	Prec@1 52.500 (53.570)	Prec@5 85.000 (82.790)
Epoch: [64][7290/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8168 (1.7475)	Prec@1 48.500 (53.569)	Prec@5 83.500 (82.791)
Epoch: [64][7300/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.5315 (1.7474)	Prec@1 60.000 (53.570)	Prec@5 85.000 (82.793)
Epoch: [64][7310/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5582 (1.7474)	Prec@1 56.500 (53.571)	Prec@5 88.000 (82.794)
Epoch: [64][7320/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.5863 (1.7474)	Prec@1 58.000 (53.571)	Prec@5 85.000 (82.794)
Epoch: [64][7330/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7154 (1.7474)	Prec@1 54.500 (53.571)	Prec@5 84.000 (82.793)
Epoch: [64][7340/9018]	Time 0.628 (0.623)	Data 0.013 (0.003)	Loss 1.7203 (1.7473)	Prec@1 53.000 (53.571)	Prec@5 85.000 (82.794)
Epoch: [64][7350/9018]	Time 0.625 (0.623)	Data 0.008 (0.003)	Loss 1.7189 (1.7474)	Prec@1 50.000 (53.569)	Prec@5 84.500 (82.793)
Epoch: [64][7360/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.9383 (1.7474)	Prec@1 50.500 (53.569)	Prec@5 82.500 (82.792)
Epoch: [64][7370/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8335 (1.7475)	Prec@1 50.000 (53.569)	Prec@5 82.500 (82.792)
Epoch: [64][7380/9018]	Time 0.751 (0.623)	Data 0.001 (0.003)	Loss 1.6585 (1.7475)	Prec@1 58.000 (53.569)	Prec@5 83.000 (82.791)
Epoch: [64][7390/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7460 (1.7474)	Prec@1 57.500 (53.570)	Prec@5 81.500 (82.791)
Epoch: [64][7400/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8816 (1.7474)	Prec@1 49.000 (53.572)	Prec@5 79.500 (82.792)
Epoch: [64][7410/9018]	Time 0.622 (0.623)	Data 0.002 (0.003)	Loss 1.7669 (1.7474)	Prec@1 50.500 (53.572)	Prec@5 80.000 (82.790)
Epoch: [64][7420/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.7062 (1.7473)	Prec@1 52.000 (53.573)	Prec@5 86.000 (82.792)
Epoch: [64][7430/9018]	Time 0.736 (0.623)	Data 0.007 (0.003)	Loss 1.8391 (1.7474)	Prec@1 49.500 (53.570)	Prec@5 80.500 (82.790)
Epoch: [64][7440/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.9324 (1.7476)	Prec@1 51.500 (53.567)	Prec@5 79.000 (82.787)
Epoch: [64][7450/9018]	Time 0.622 (0.623)	Data 0.002 (0.003)	Loss 1.7419 (1.7475)	Prec@1 53.500 (53.568)	Prec@5 84.000 (82.788)
Epoch: [64][7460/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7059 (1.7475)	Prec@1 57.500 (53.569)	Prec@5 85.000 (82.787)
Epoch: [64][7470/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.8440 (1.7475)	Prec@1 55.500 (53.568)	Prec@5 80.500 (82.787)
Epoch: [64][7480/9018]	Time 0.596 (0.623)	Data 0.003 (0.003)	Loss 1.6609 (1.7475)	Prec@1 51.500 (53.569)	Prec@5 84.500 (82.787)
Epoch: [64][7490/9018]	Time 0.600 (0.623)	Data 0.012 (0.003)	Loss 1.8995 (1.7475)	Prec@1 51.500 (53.566)	Prec@5 82.000 (82.787)
Epoch: [64][7500/9018]	Time 0.622 (0.623)	Data 0.002 (0.003)	Loss 1.5414 (1.7475)	Prec@1 53.500 (53.565)	Prec@5 88.000 (82.789)
Epoch: [64][7510/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6341 (1.7475)	Prec@1 55.000 (53.567)	Prec@5 86.500 (82.789)
Epoch: [64][7520/9018]	Time 0.602 (0.623)	Data 0.015 (0.003)	Loss 1.6779 (1.7474)	Prec@1 55.500 (53.570)	Prec@5 84.000 (82.791)
Epoch: [64][7530/9018]	Time 0.616 (0.623)	Data 0.014 (0.003)	Loss 1.6855 (1.7474)	Prec@1 52.500 (53.570)	Prec@5 85.500 (82.791)
Epoch: [64][7540/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.9378 (1.7474)	Prec@1 46.000 (53.567)	Prec@5 83.000 (82.792)
Epoch: [64][7550/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6989 (1.7474)	Prec@1 57.500 (53.569)	Prec@5 81.500 (82.792)
Epoch: [64][7560/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 2.0129 (1.7474)	Prec@1 49.500 (53.568)	Prec@5 76.000 (82.790)
Epoch: [64][7570/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7012 (1.7473)	Prec@1 59.500 (53.571)	Prec@5 84.000 (82.791)
Epoch: [64][7580/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.7402 (1.7474)	Prec@1 52.500 (53.570)	Prec@5 80.000 (82.790)
Epoch: [64][7590/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7086 (1.7474)	Prec@1 53.000 (53.570)	Prec@5 82.000 (82.789)
Epoch: [64][7600/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6053 (1.7475)	Prec@1 53.500 (53.569)	Prec@5 86.000 (82.789)
Epoch: [64][7610/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.9183 (1.7474)	Prec@1 52.000 (53.570)	Prec@5 80.000 (82.789)
Epoch: [64][7620/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.8178 (1.7475)	Prec@1 49.000 (53.569)	Prec@5 83.500 (82.791)
Epoch: [64][7630/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.9803 (1.7476)	Prec@1 49.500 (53.566)	Prec@5 77.000 (82.788)
Epoch: [64][7640/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.7506 (1.7475)	Prec@1 58.000 (53.566)	Prec@5 80.500 (82.789)
Epoch: [64][7650/9018]	Time 0.630 (0.623)	Data 0.005 (0.003)	Loss 1.8787 (1.7476)	Prec@1 49.500 (53.565)	Prec@5 82.500 (82.788)
Epoch: [64][7660/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.6348 (1.7476)	Prec@1 55.500 (53.565)	Prec@5 85.500 (82.789)
Epoch: [64][7670/9018]	Time 0.604 (0.623)	Data 0.023 (0.003)	Loss 1.8365 (1.7477)	Prec@1 55.500 (53.565)	Prec@5 80.000 (82.788)
Epoch: [64][7680/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7739 (1.7476)	Prec@1 51.000 (53.566)	Prec@5 85.000 (82.790)
Epoch: [64][7690/9018]	Time 0.617 (0.623)	Data 0.015 (0.003)	Loss 1.6733 (1.7477)	Prec@1 55.500 (53.565)	Prec@5 84.000 (82.791)
Epoch: [64][7700/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7076 (1.7477)	Prec@1 56.500 (53.564)	Prec@5 83.500 (82.791)
Epoch: [64][7710/9018]	Time 0.772 (0.623)	Data 0.001 (0.003)	Loss 1.9129 (1.7477)	Prec@1 51.000 (53.565)	Prec@5 79.000 (82.791)
Epoch: [64][7720/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7506 (1.7477)	Prec@1 55.500 (53.566)	Prec@5 81.500 (82.791)
Epoch: [64][7730/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6816 (1.7478)	Prec@1 49.500 (53.563)	Prec@5 83.500 (82.790)
Epoch: [64][7740/9018]	Time 0.638 (0.623)	Data 0.004 (0.003)	Loss 1.8221 (1.7478)	Prec@1 51.000 (53.562)	Prec@5 79.500 (82.789)
Epoch: [64][7750/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.9562 (1.7478)	Prec@1 51.500 (53.563)	Prec@5 78.500 (82.790)
Epoch: [64][7760/9018]	Time 0.712 (0.623)	Data 0.001 (0.003)	Loss 1.9816 (1.7478)	Prec@1 50.500 (53.562)	Prec@5 79.500 (82.790)
Epoch: [64][7770/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.6927 (1.7479)	Prec@1 55.000 (53.561)	Prec@5 87.500 (82.790)
Epoch: [64][7780/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6116 (1.7478)	Prec@1 58.000 (53.562)	Prec@5 85.000 (82.791)
Epoch: [64][7790/9018]	Time 0.630 (0.623)	Data 0.002 (0.003)	Loss 1.6048 (1.7479)	Prec@1 61.500 (53.562)	Prec@5 84.500 (82.792)
Epoch: [64][7800/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7906 (1.7478)	Prec@1 55.500 (53.563)	Prec@5 81.500 (82.793)
Epoch: [64][7810/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.5735 (1.7477)	Prec@1 60.000 (53.566)	Prec@5 84.000 (82.793)
Epoch: [64][7820/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.8060 (1.7478)	Prec@1 53.500 (53.566)	Prec@5 83.500 (82.792)
Epoch: [64][7830/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7311 (1.7478)	Prec@1 51.000 (53.565)	Prec@5 84.500 (82.792)
Epoch: [64][7840/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6416 (1.7477)	Prec@1 58.500 (53.567)	Prec@5 83.000 (82.793)
Epoch: [64][7850/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 2.1186 (1.7479)	Prec@1 46.000 (53.565)	Prec@5 80.000 (82.791)
Epoch: [64][7860/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6406 (1.7479)	Prec@1 53.000 (53.563)	Prec@5 84.000 (82.792)
Epoch: [64][7870/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6718 (1.7479)	Prec@1 54.000 (53.563)	Prec@5 85.500 (82.792)
Epoch: [64][7880/9018]	Time 0.614 (0.623)	Data 0.005 (0.003)	Loss 2.0124 (1.7480)	Prec@1 49.500 (53.562)	Prec@5 77.000 (82.789)
Epoch: [64][7890/9018]	Time 0.637 (0.623)	Data 0.002 (0.003)	Loss 1.7821 (1.7480)	Prec@1 55.000 (53.562)	Prec@5 85.000 (82.790)
Epoch: [64][7900/9018]	Time 0.681 (0.623)	Data 0.001 (0.003)	Loss 1.6758 (1.7479)	Prec@1 57.000 (53.564)	Prec@5 82.500 (82.791)
Epoch: [64][7910/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7166 (1.7479)	Prec@1 58.500 (53.564)	Prec@5 83.000 (82.793)
Epoch: [64][7920/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.6098 (1.7478)	Prec@1 58.500 (53.566)	Prec@5 84.500 (82.792)
Epoch: [64][7930/9018]	Time 0.609 (0.623)	Data 0.004 (0.003)	Loss 1.7633 (1.7479)	Prec@1 50.500 (53.564)	Prec@5 84.000 (82.791)
Epoch: [64][7940/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.5957 (1.7479)	Prec@1 59.000 (53.563)	Prec@5 84.500 (82.792)
Epoch: [64][7950/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 2.0252 (1.7479)	Prec@1 50.500 (53.564)	Prec@5 76.000 (82.792)
Epoch: [64][7960/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.4768 (1.7479)	Prec@1 57.500 (53.566)	Prec@5 88.500 (82.794)
Epoch: [64][7970/9018]	Time 0.597 (0.623)	Data 0.013 (0.003)	Loss 1.7474 (1.7480)	Prec@1 48.000 (53.564)	Prec@5 86.500 (82.793)
Epoch: [64][7980/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8904 (1.7479)	Prec@1 47.000 (53.566)	Prec@5 83.500 (82.795)
Epoch: [64][7990/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7746 (1.7479)	Prec@1 53.500 (53.566)	Prec@5 79.500 (82.794)
Epoch: [64][8000/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8185 (1.7480)	Prec@1 50.500 (53.563)	Prec@5 84.000 (82.794)
Epoch: [64][8010/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7931 (1.7480)	Prec@1 53.000 (53.563)	Prec@5 83.000 (82.793)
Epoch: [64][8020/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7696 (1.7480)	Prec@1 51.500 (53.563)	Prec@5 81.500 (82.793)
Epoch: [64][8030/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.6546 (1.7480)	Prec@1 53.000 (53.562)	Prec@5 85.500 (82.795)
Epoch: [64][8040/9018]	Time 0.756 (0.623)	Data 0.001 (0.003)	Loss 1.9042 (1.7481)	Prec@1 50.000 (53.561)	Prec@5 78.500 (82.794)
Epoch: [64][8050/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6537 (1.7480)	Prec@1 54.500 (53.561)	Prec@5 86.000 (82.796)
Epoch: [64][8060/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8441 (1.7480)	Prec@1 50.500 (53.563)	Prec@5 81.500 (82.797)
Epoch: [64][8070/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.5307 (1.7480)	Prec@1 57.000 (53.562)	Prec@5 86.000 (82.796)
Epoch: [64][8080/9018]	Time 0.618 (0.623)	Data 0.014 (0.003)	Loss 1.8543 (1.7481)	Prec@1 51.000 (53.561)	Prec@5 78.000 (82.794)
Epoch: [64][8090/9018]	Time 0.795 (0.623)	Data 0.010 (0.003)	Loss 1.7470 (1.7481)	Prec@1 50.000 (53.562)	Prec@5 81.500 (82.793)
Epoch: [64][8100/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7929 (1.7481)	Prec@1 51.000 (53.561)	Prec@5 79.000 (82.793)
Epoch: [64][8110/9018]	Time 0.606 (0.623)	Data 0.002 (0.003)	Loss 1.7119 (1.7481)	Prec@1 52.500 (53.561)	Prec@5 81.500 (82.793)
Epoch: [64][8120/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.8428 (1.7480)	Prec@1 50.500 (53.561)	Prec@5 81.000 (82.794)
Epoch: [64][8130/9018]	Time 0.635 (0.623)	Data 0.008 (0.003)	Loss 1.7225 (1.7481)	Prec@1 54.000 (53.559)	Prec@5 85.500 (82.794)
Epoch: [64][8140/9018]	Time 0.628 (0.623)	Data 0.016 (0.003)	Loss 1.5827 (1.7481)	Prec@1 55.500 (53.557)	Prec@5 86.500 (82.794)
Epoch: [64][8150/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.6790 (1.7481)	Prec@1 56.000 (53.558)	Prec@5 81.000 (82.794)
Epoch: [64][8160/9018]	Time 0.624 (0.623)	Data 0.007 (0.003)	Loss 1.7455 (1.7481)	Prec@1 57.500 (53.558)	Prec@5 81.500 (82.794)
Epoch: [64][8170/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 2.0018 (1.7481)	Prec@1 48.000 (53.558)	Prec@5 76.500 (82.794)
Epoch: [64][8180/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.5704 (1.7481)	Prec@1 59.000 (53.559)	Prec@5 86.500 (82.793)
Epoch: [64][8190/9018]	Time 0.638 (0.623)	Data 0.002 (0.003)	Loss 1.7026 (1.7482)	Prec@1 56.500 (53.558)	Prec@5 84.000 (82.792)
Epoch: [64][8200/9018]	Time 0.590 (0.623)	Data 0.007 (0.003)	Loss 1.6743 (1.7481)	Prec@1 53.500 (53.561)	Prec@5 82.000 (82.793)
Epoch: [64][8210/9018]	Time 0.638 (0.623)	Data 0.016 (0.003)	Loss 1.6039 (1.7481)	Prec@1 58.500 (53.562)	Prec@5 85.000 (82.793)
Epoch: [64][8220/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.5586 (1.7480)	Prec@1 59.000 (53.564)	Prec@5 83.000 (82.794)
Epoch: [64][8230/9018]	Time 0.623 (0.623)	Data 0.017 (0.003)	Loss 1.6933 (1.7480)	Prec@1 55.500 (53.564)	Prec@5 82.000 (82.794)
Epoch: [64][8240/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7663 (1.7480)	Prec@1 52.000 (53.564)	Prec@5 82.000 (82.795)
Epoch: [64][8250/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8105 (1.7481)	Prec@1 54.000 (53.560)	Prec@5 80.000 (82.794)
Epoch: [64][8260/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.5224 (1.7481)	Prec@1 61.000 (53.561)	Prec@5 86.500 (82.794)
Epoch: [64][8270/9018]	Time 0.616 (0.623)	Data 0.022 (0.003)	Loss 1.8695 (1.7481)	Prec@1 49.500 (53.559)	Prec@5 81.000 (82.793)
Epoch: [64][8280/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8661 (1.7481)	Prec@1 47.500 (53.560)	Prec@5 80.000 (82.793)
Epoch: [64][8290/9018]	Time 0.616 (0.623)	Data 0.013 (0.003)	Loss 1.7048 (1.7481)	Prec@1 55.500 (53.560)	Prec@5 82.500 (82.793)
Epoch: [64][8300/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.7513 (1.7480)	Prec@1 56.000 (53.560)	Prec@5 79.000 (82.794)
Epoch: [64][8310/9018]	Time 0.623 (0.623)	Data 0.002 (0.003)	Loss 1.9597 (1.7480)	Prec@1 47.500 (53.560)	Prec@5 79.500 (82.794)
Epoch: [64][8320/9018]	Time 0.598 (0.623)	Data 0.007 (0.003)	Loss 1.9322 (1.7480)	Prec@1 52.500 (53.561)	Prec@5 80.000 (82.794)
Epoch: [64][8330/9018]	Time 0.633 (0.623)	Data 0.007 (0.003)	Loss 1.7021 (1.7481)	Prec@1 53.500 (53.558)	Prec@5 85.500 (82.793)
Epoch: [64][8340/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.8074 (1.7481)	Prec@1 52.500 (53.561)	Prec@5 83.000 (82.794)
Epoch: [64][8350/9018]	Time 0.619 (0.623)	Data 0.007 (0.003)	Loss 1.7723 (1.7481)	Prec@1 52.500 (53.560)	Prec@5 82.500 (82.794)
Epoch: [64][8360/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.6585 (1.7480)	Prec@1 55.000 (53.560)	Prec@5 86.500 (82.796)
Epoch: [64][8370/9018]	Time 0.792 (0.623)	Data 0.001 (0.003)	Loss 1.8857 (1.7480)	Prec@1 53.500 (53.559)	Prec@5 80.500 (82.796)
Epoch: [64][8380/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8012 (1.7480)	Prec@1 51.000 (53.559)	Prec@5 82.500 (82.797)
Epoch: [64][8390/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8427 (1.7479)	Prec@1 50.500 (53.559)	Prec@5 82.000 (82.799)
Epoch: [64][8400/9018]	Time 0.654 (0.623)	Data 0.002 (0.003)	Loss 1.7095 (1.7479)	Prec@1 53.500 (53.559)	Prec@5 81.500 (82.799)
Epoch: [64][8410/9018]	Time 0.651 (0.623)	Data 0.021 (0.003)	Loss 1.8559 (1.7480)	Prec@1 47.000 (53.558)	Prec@5 81.000 (82.798)
Epoch: [64][8420/9018]	Time 0.741 (0.623)	Data 0.001 (0.003)	Loss 1.8577 (1.7480)	Prec@1 47.500 (53.558)	Prec@5 81.000 (82.797)
Epoch: [64][8430/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6438 (1.7480)	Prec@1 57.000 (53.558)	Prec@5 83.500 (82.796)
Epoch: [64][8440/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6899 (1.7481)	Prec@1 55.000 (53.556)	Prec@5 85.000 (82.795)
Epoch: [64][8450/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6870 (1.7481)	Prec@1 57.000 (53.557)	Prec@5 85.000 (82.795)
Epoch: [64][8460/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7308 (1.7481)	Prec@1 55.500 (53.558)	Prec@5 84.000 (82.795)
Epoch: [64][8470/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.4986 (1.7480)	Prec@1 60.000 (53.560)	Prec@5 86.500 (82.797)
Epoch: [64][8480/9018]	Time 0.623 (0.623)	Data 0.016 (0.003)	Loss 1.8566 (1.7480)	Prec@1 49.500 (53.559)	Prec@5 82.500 (82.797)
Epoch: [64][8490/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7546 (1.7481)	Prec@1 58.000 (53.559)	Prec@5 81.000 (82.796)
Epoch: [64][8500/9018]	Time 0.606 (0.623)	Data 0.002 (0.003)	Loss 1.7445 (1.7481)	Prec@1 51.500 (53.557)	Prec@5 81.500 (82.796)
Epoch: [64][8510/9018]	Time 0.616 (0.623)	Data 0.007 (0.003)	Loss 1.9118 (1.7481)	Prec@1 46.500 (53.556)	Prec@5 80.000 (82.795)
Epoch: [64][8520/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.5886 (1.7481)	Prec@1 58.000 (53.556)	Prec@5 84.500 (82.796)
Epoch: [64][8530/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6115 (1.7481)	Prec@1 59.000 (53.556)	Prec@5 82.500 (82.797)
Epoch: [64][8540/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8575 (1.7481)	Prec@1 56.000 (53.556)	Prec@5 79.500 (82.796)
Epoch: [64][8550/9018]	Time 0.670 (0.623)	Data 0.001 (0.003)	Loss 1.6378 (1.7481)	Prec@1 54.500 (53.554)	Prec@5 83.000 (82.796)
Epoch: [64][8560/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7101 (1.7481)	Prec@1 55.500 (53.556)	Prec@5 81.500 (82.797)
Epoch: [64][8570/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.5745 (1.7480)	Prec@1 59.000 (53.556)	Prec@5 85.000 (82.797)
Epoch: [64][8580/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.4497 (1.7480)	Prec@1 61.000 (53.559)	Prec@5 86.000 (82.797)
Epoch: [64][8590/9018]	Time 0.610 (0.623)	Data 0.013 (0.003)	Loss 1.9740 (1.7480)	Prec@1 50.000 (53.558)	Prec@5 78.500 (82.798)
Epoch: [64][8600/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7479 (1.7480)	Prec@1 52.500 (53.557)	Prec@5 81.000 (82.798)
Epoch: [64][8610/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7532 (1.7480)	Prec@1 55.000 (53.557)	Prec@5 81.500 (82.798)
Epoch: [64][8620/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.8395 (1.7479)	Prec@1 50.500 (53.559)	Prec@5 80.000 (82.800)
Epoch: [64][8630/9018]	Time 0.630 (0.623)	Data 0.014 (0.003)	Loss 1.8861 (1.7480)	Prec@1 51.500 (53.559)	Prec@5 81.000 (82.798)
Epoch: [64][8640/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6229 (1.7479)	Prec@1 52.500 (53.560)	Prec@5 86.000 (82.800)
Epoch: [64][8650/9018]	Time 0.591 (0.623)	Data 0.005 (0.003)	Loss 1.7852 (1.7479)	Prec@1 52.500 (53.557)	Prec@5 82.500 (82.799)
Epoch: [64][8660/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6669 (1.7479)	Prec@1 53.500 (53.555)	Prec@5 83.000 (82.798)
Epoch: [64][8670/9018]	Time 0.611 (0.623)	Data 0.002 (0.003)	Loss 1.7240 (1.7479)	Prec@1 53.500 (53.556)	Prec@5 82.500 (82.799)
Epoch: [64][8680/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7790 (1.7479)	Prec@1 52.000 (53.555)	Prec@5 83.500 (82.798)
Epoch: [64][8690/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6977 (1.7479)	Prec@1 52.500 (53.557)	Prec@5 85.000 (82.798)
Epoch: [64][8700/9018]	Time 0.756 (0.623)	Data 0.007 (0.003)	Loss 1.7960 (1.7479)	Prec@1 51.000 (53.556)	Prec@5 80.500 (82.797)
Epoch: [64][8710/9018]	Time 0.614 (0.623)	Data 0.012 (0.003)	Loss 1.5899 (1.7479)	Prec@1 57.000 (53.557)	Prec@5 85.500 (82.798)
Epoch: [64][8720/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.8655 (1.7479)	Prec@1 52.000 (53.558)	Prec@5 82.500 (82.797)
Epoch: [64][8730/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.7301 (1.7479)	Prec@1 50.500 (53.557)	Prec@5 85.000 (82.797)
Epoch: [64][8740/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.8601 (1.7479)	Prec@1 56.000 (53.558)	Prec@5 82.500 (82.798)
Epoch: [64][8750/9018]	Time 0.756 (0.623)	Data 0.001 (0.003)	Loss 1.7794 (1.7479)	Prec@1 52.500 (53.558)	Prec@5 81.500 (82.798)
Epoch: [64][8760/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.8180 (1.7479)	Prec@1 50.500 (53.557)	Prec@5 81.500 (82.797)
Epoch: [64][8770/9018]	Time 0.631 (0.623)	Data 0.013 (0.003)	Loss 1.7633 (1.7480)	Prec@1 49.500 (53.557)	Prec@5 78.500 (82.795)
Epoch: [64][8780/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.5833 (1.7480)	Prec@1 56.500 (53.558)	Prec@5 84.500 (82.795)
Epoch: [64][8790/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6994 (1.7480)	Prec@1 57.500 (53.558)	Prec@5 84.500 (82.796)
Epoch: [64][8800/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8016 (1.7480)	Prec@1 54.500 (53.558)	Prec@5 82.000 (82.795)
Epoch: [64][8810/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8796 (1.7481)	Prec@1 49.500 (53.557)	Prec@5 81.500 (82.792)
Epoch: [64][8820/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.5888 (1.7480)	Prec@1 55.500 (53.559)	Prec@5 85.000 (82.795)
Epoch: [64][8830/9018]	Time 0.597 (0.623)	Data 0.002 (0.003)	Loss 1.6756 (1.7480)	Prec@1 57.000 (53.560)	Prec@5 86.000 (82.796)
Epoch: [64][8840/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7012 (1.7480)	Prec@1 49.000 (53.558)	Prec@5 85.000 (82.795)
Epoch: [64][8850/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7202 (1.7481)	Prec@1 55.000 (53.558)	Prec@5 82.000 (82.796)
Epoch: [64][8860/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7422 (1.7481)	Prec@1 50.000 (53.556)	Prec@5 82.500 (82.795)
Epoch: [64][8870/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7451 (1.7480)	Prec@1 54.000 (53.558)	Prec@5 81.500 (82.797)
Epoch: [64][8880/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.6396 (1.7480)	Prec@1 56.000 (53.558)	Prec@5 84.500 (82.796)
Epoch: [64][8890/9018]	Time 0.601 (0.623)	Data 0.012 (0.003)	Loss 1.7201 (1.7480)	Prec@1 56.000 (53.558)	Prec@5 82.500 (82.796)
Epoch: [64][8900/9018]	Time 0.611 (0.623)	Data 0.017 (0.003)	Loss 1.7206 (1.7480)	Prec@1 60.500 (53.559)	Prec@5 83.500 (82.797)
Epoch: [64][8910/9018]	Time 0.613 (0.623)	Data 0.013 (0.003)	Loss 1.6279 (1.7480)	Prec@1 56.000 (53.559)	Prec@5 84.500 (82.797)
Epoch: [64][8920/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8981 (1.7480)	Prec@1 50.000 (53.557)	Prec@5 79.500 (82.798)
Epoch: [64][8930/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7313 (1.7481)	Prec@1 52.500 (53.556)	Prec@5 83.500 (82.797)
Epoch: [64][8940/9018]	Time 0.616 (0.623)	Data 0.017 (0.003)	Loss 1.7824 (1.7481)	Prec@1 53.000 (53.554)	Prec@5 86.000 (82.796)
Epoch: [64][8950/9018]	Time 0.630 (0.623)	Data 0.014 (0.003)	Loss 1.6364 (1.7481)	Prec@1 57.500 (53.557)	Prec@5 83.500 (82.795)
Epoch: [64][8960/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.5969 (1.7480)	Prec@1 57.000 (53.558)	Prec@5 86.500 (82.797)
Epoch: [64][8970/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.6499 (1.7480)	Prec@1 56.500 (53.558)	Prec@5 84.000 (82.796)
Epoch: [64][8980/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7982 (1.7481)	Prec@1 53.000 (53.557)	Prec@5 80.500 (82.796)
Epoch: [64][8990/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7804 (1.7481)	Prec@1 49.500 (53.556)	Prec@5 81.500 (82.796)
Epoch: [64][9000/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7752 (1.7481)	Prec@1 56.500 (53.557)	Prec@5 81.000 (82.797)
Epoch: [64][9010/9018]	Time 0.603 (0.623)	Data 0.000 (0.003)	Loss 1.6904 (1.7481)	Prec@1 54.500 (53.555)	Prec@5 83.000 (82.797)
Test: [0/183]	Time 1.674 (1.674)	Loss 2.4566 (2.4566)	Prec@1 37.500 (37.500)	Prec@5 72.000 (72.000)
Test: [10/183]	Time 0.209 (0.342)	Loss 1.5610 (1.6015)	Prec@1 63.500 (57.727)	Prec@5 82.000 (86.045)
Test: [20/183]	Time 0.188 (0.280)	Loss 1.9250 (1.5736)	Prec@1 50.000 (57.857)	Prec@5 82.000 (86.071)
Test: [30/183]	Time 0.189 (0.261)	Loss 2.1854 (1.5819)	Prec@1 31.500 (56.726)	Prec@5 76.500 (86.258)
Test: [40/183]	Time 0.192 (0.247)	Loss 2.2408 (1.5857)	Prec@1 39.500 (57.232)	Prec@5 77.500 (85.732)
Test: [50/183]	Time 0.186 (0.242)	Loss 1.3621 (1.5591)	Prec@1 62.000 (57.833)	Prec@5 89.000 (86.078)
Test: [60/183]	Time 0.211 (0.237)	Loss 2.0753 (1.6304)	Prec@1 45.000 (55.697)	Prec@5 80.000 (85.320)
Test: [70/183]	Time 0.196 (0.233)	Loss 1.6484 (1.6144)	Prec@1 51.500 (55.915)	Prec@5 88.000 (85.718)
Test: [80/183]	Time 0.215 (0.230)	Loss 1.3426 (1.6017)	Prec@1 58.000 (55.870)	Prec@5 94.000 (85.920)
Test: [90/183]	Time 0.209 (0.226)	Loss 2.1944 (1.5982)	Prec@1 45.500 (55.962)	Prec@5 72.500 (85.945)
Test: [100/183]	Time 0.195 (0.224)	Loss 0.7519 (1.5963)	Prec@1 79.000 (56.020)	Prec@5 95.000 (86.015)
Test: [110/183]	Time 0.208 (0.223)	Loss 0.6039 (1.6023)	Prec@1 87.500 (55.905)	Prec@5 96.500 (85.892)
Test: [120/183]	Time 0.193 (0.222)	Loss 1.9684 (1.6097)	Prec@1 46.000 (55.616)	Prec@5 78.000 (85.872)
Test: [130/183]	Time 0.193 (0.221)	Loss 2.7232 (1.6173)	Prec@1 25.000 (55.370)	Prec@5 74.500 (85.935)
Test: [140/183]	Time 0.210 (0.219)	Loss 1.3862 (1.6081)	Prec@1 64.500 (55.613)	Prec@5 87.500 (86.064)
Test: [150/183]	Time 0.214 (0.219)	Loss 0.6017 (1.6073)	Prec@1 82.500 (55.715)	Prec@5 98.500 (86.096)
Test: [160/183]	Time 0.215 (0.219)	Loss 1.5468 (1.6037)	Prec@1 52.000 (55.932)	Prec@5 87.500 (86.124)
Test: [170/183]	Time 0.207 (0.219)	Loss 1.9161 (1.6203)	Prec@1 39.500 (55.477)	Prec@5 86.000 (85.895)
Test: [180/183]	Time 0.177 (0.218)	Loss 1.9005 (1.6286)	Prec@1 48.000 (55.367)	Prec@5 83.500 (85.754)
 * Prec@1 55.375 Prec@5 85.742
Epoch: [65][0/9018]	Time 3.029 (3.029)	Data 2.376 (2.376)	Loss 1.6502 (1.6502)	Prec@1 52.000 (52.000)	Prec@5 84.000 (84.000)
Epoch: [65][10/9018]	Time 0.616 (0.832)	Data 0.003 (0.217)	Loss 1.6166 (1.6950)	Prec@1 57.500 (54.591)	Prec@5 81.500 (83.227)
Epoch: [65][20/9018]	Time 0.620 (0.736)	Data 0.001 (0.115)	Loss 1.6739 (1.7018)	Prec@1 61.500 (54.310)	Prec@5 83.500 (83.429)
Epoch: [65][30/9018]	Time 0.593 (0.699)	Data 0.001 (0.080)	Loss 1.3965 (1.6997)	Prec@1 59.000 (54.226)	Prec@5 88.500 (83.468)
Epoch: [65][40/9018]	Time 0.618 (0.677)	Data 0.016 (0.061)	Loss 1.8067 (1.7008)	Prec@1 56.500 (54.451)	Prec@5 83.000 (83.549)
Epoch: [65][50/9018]	Time 0.608 (0.668)	Data 0.001 (0.050)	Loss 2.0041 (1.7156)	Prec@1 49.000 (54.235)	Prec@5 77.500 (83.225)
Epoch: [65][60/9018]	Time 0.628 (0.660)	Data 0.001 (0.042)	Loss 1.9081 (1.7379)	Prec@1 52.000 (53.811)	Prec@5 79.000 (82.754)
Epoch: [65][70/9018]	Time 0.624 (0.656)	Data 0.028 (0.037)	Loss 1.6678 (1.7396)	Prec@1 53.000 (53.592)	Prec@5 84.000 (82.852)
Epoch: [65][80/9018]	Time 0.654 (0.654)	Data 0.014 (0.033)	Loss 1.5636 (1.7475)	Prec@1 53.000 (53.451)	Prec@5 87.500 (82.679)
Epoch: [65][90/9018]	Time 0.646 (0.650)	Data 0.001 (0.030)	Loss 1.7419 (1.7501)	Prec@1 54.000 (53.396)	Prec@5 80.500 (82.577)
Epoch: [65][100/9018]	Time 0.600 (0.649)	Data 0.001 (0.027)	Loss 1.7886 (1.7469)	Prec@1 59.000 (53.599)	Prec@5 82.500 (82.545)
Epoch: [65][110/9018]	Time 0.774 (0.647)	Data 0.001 (0.025)	Loss 1.6228 (1.7397)	Prec@1 60.000 (53.793)	Prec@5 84.000 (82.685)
Epoch: [65][120/9018]	Time 0.596 (0.644)	Data 0.001 (0.023)	Loss 1.6586 (1.7391)	Prec@1 52.000 (53.806)	Prec@5 87.500 (82.711)
Epoch: [65][130/9018]	Time 0.630 (0.644)	Data 0.001 (0.022)	Loss 1.7149 (1.7426)	Prec@1 51.000 (53.752)	Prec@5 85.000 (82.664)
Epoch: [65][140/9018]	Time 0.602 (0.642)	Data 0.001 (0.020)	Loss 1.7747 (1.7395)	Prec@1 54.500 (53.791)	Prec@5 84.000 (82.752)
Epoch: [65][150/9018]	Time 0.596 (0.641)	Data 0.001 (0.019)	Loss 1.9836 (1.7423)	Prec@1 47.500 (53.798)	Prec@5 79.500 (82.675)
Epoch: [65][160/9018]	Time 0.602 (0.641)	Data 0.001 (0.018)	Loss 1.5007 (1.7444)	Prec@1 60.000 (53.708)	Prec@5 87.000 (82.689)
Epoch: [65][170/9018]	Time 0.608 (0.639)	Data 0.001 (0.017)	Loss 1.7451 (1.7447)	Prec@1 49.000 (53.731)	Prec@5 82.000 (82.734)
Epoch: [65][180/9018]	Time 0.610 (0.639)	Data 0.001 (0.016)	Loss 1.5039 (1.7428)	Prec@1 60.500 (53.798)	Prec@5 87.000 (82.807)
Epoch: [65][190/9018]	Time 0.627 (0.638)	Data 0.001 (0.016)	Loss 1.6453 (1.7415)	Prec@1 57.500 (53.775)	Prec@5 86.000 (82.869)
Epoch: [65][200/9018]	Time 0.633 (0.637)	Data 0.004 (0.015)	Loss 1.6490 (1.7448)	Prec@1 53.500 (53.667)	Prec@5 84.000 (82.826)
Epoch: [65][210/9018]	Time 0.606 (0.637)	Data 0.001 (0.014)	Loss 1.9505 (1.7471)	Prec@1 50.500 (53.630)	Prec@5 77.000 (82.777)
Epoch: [65][220/9018]	Time 0.616 (0.636)	Data 0.001 (0.014)	Loss 1.4784 (1.7447)	Prec@1 62.000 (53.667)	Prec@5 87.500 (82.844)
Epoch: [65][230/9018]	Time 0.637 (0.636)	Data 0.001 (0.013)	Loss 1.7891 (1.7407)	Prec@1 52.000 (53.714)	Prec@5 82.500 (82.935)
Epoch: [65][240/9018]	Time 0.624 (0.635)	Data 0.016 (0.013)	Loss 1.7595 (1.7423)	Prec@1 52.500 (53.683)	Prec@5 82.000 (82.890)
Epoch: [65][250/9018]	Time 0.604 (0.635)	Data 0.010 (0.013)	Loss 1.5972 (1.7423)	Prec@1 55.000 (53.727)	Prec@5 84.000 (82.886)
Epoch: [65][260/9018]	Time 0.612 (0.634)	Data 0.001 (0.012)	Loss 1.7085 (1.7408)	Prec@1 54.000 (53.785)	Prec@5 83.500 (82.898)
Epoch: [65][270/9018]	Time 0.608 (0.634)	Data 0.001 (0.012)	Loss 1.7196 (1.7427)	Prec@1 54.500 (53.804)	Prec@5 81.500 (82.849)
Epoch: [65][280/9018]	Time 0.596 (0.634)	Data 0.001 (0.012)	Loss 1.7936 (1.7428)	Prec@1 52.000 (53.827)	Prec@5 81.500 (82.854)
Epoch: [65][290/9018]	Time 0.643 (0.633)	Data 0.001 (0.011)	Loss 1.7357 (1.7417)	Prec@1 53.500 (53.826)	Prec@5 83.500 (82.849)
Epoch: [65][300/9018]	Time 0.620 (0.633)	Data 0.026 (0.011)	Loss 1.6946 (1.7409)	Prec@1 53.500 (53.822)	Prec@5 82.000 (82.859)
Epoch: [65][310/9018]	Time 0.608 (0.633)	Data 0.001 (0.011)	Loss 1.4950 (1.7402)	Prec@1 53.500 (53.846)	Prec@5 88.000 (82.894)
Epoch: [65][320/9018]	Time 0.620 (0.632)	Data 0.001 (0.011)	Loss 1.8319 (1.7397)	Prec@1 49.000 (53.826)	Prec@5 80.500 (82.910)
Epoch: [65][330/9018]	Time 0.624 (0.632)	Data 0.001 (0.010)	Loss 1.9161 (1.7398)	Prec@1 50.500 (53.843)	Prec@5 81.000 (82.891)
Epoch: [65][340/9018]	Time 0.605 (0.632)	Data 0.001 (0.010)	Loss 1.8557 (1.7400)	Prec@1 55.500 (53.849)	Prec@5 80.000 (82.909)
Epoch: [65][350/9018]	Time 0.639 (0.632)	Data 0.001 (0.010)	Loss 1.5418 (1.7400)	Prec@1 60.000 (53.862)	Prec@5 84.500 (82.929)
Epoch: [65][360/9018]	Time 0.631 (0.632)	Data 0.001 (0.010)	Loss 1.8299 (1.7421)	Prec@1 52.000 (53.819)	Prec@5 83.000 (82.891)
Epoch: [65][370/9018]	Time 0.618 (0.632)	Data 0.001 (0.010)	Loss 1.6689 (1.7424)	Prec@1 54.500 (53.841)	Prec@5 81.500 (82.869)
Epoch: [65][380/9018]	Time 0.616 (0.632)	Data 0.001 (0.009)	Loss 1.7845 (1.7436)	Prec@1 56.000 (53.812)	Prec@5 79.500 (82.832)
Epoch: [65][390/9018]	Time 0.810 (0.632)	Data 0.006 (0.009)	Loss 1.5583 (1.7442)	Prec@1 61.500 (53.804)	Prec@5 87.500 (82.818)
Epoch: [65][400/9018]	Time 0.622 (0.631)	Data 0.001 (0.009)	Loss 1.4972 (1.7436)	Prec@1 64.000 (53.814)	Prec@5 86.000 (82.827)
Epoch: [65][410/9018]	Time 0.592 (0.631)	Data 0.001 (0.009)	Loss 1.8323 (1.7446)	Prec@1 48.500 (53.793)	Prec@5 82.000 (82.798)
Epoch: [65][420/9018]	Time 0.605 (0.631)	Data 0.001 (0.009)	Loss 1.6159 (1.7421)	Prec@1 57.500 (53.856)	Prec@5 84.500 (82.822)
Epoch: [65][430/9018]	Time 0.620 (0.631)	Data 0.015 (0.009)	Loss 1.9783 (1.7435)	Prec@1 48.000 (53.828)	Prec@5 78.000 (82.804)
Epoch: [65][440/9018]	Time 0.772 (0.631)	Data 0.001 (0.008)	Loss 1.9009 (1.7440)	Prec@1 48.500 (53.807)	Prec@5 81.000 (82.796)
Epoch: [65][450/9018]	Time 0.622 (0.630)	Data 0.001 (0.008)	Loss 1.8508 (1.7440)	Prec@1 53.500 (53.833)	Prec@5 79.000 (82.799)
Epoch: [65][460/9018]	Time 0.595 (0.630)	Data 0.001 (0.008)	Loss 1.6979 (1.7443)	Prec@1 53.500 (53.829)	Prec@5 84.000 (82.791)
Epoch: [65][470/9018]	Time 0.601 (0.630)	Data 0.001 (0.008)	Loss 1.7927 (1.7435)	Prec@1 50.000 (53.812)	Prec@5 84.000 (82.816)
Epoch: [65][480/9018]	Time 0.641 (0.630)	Data 0.001 (0.008)	Loss 1.4625 (1.7424)	Prec@1 58.000 (53.833)	Prec@5 87.000 (82.832)
Epoch: [65][490/9018]	Time 0.600 (0.630)	Data 0.016 (0.008)	Loss 1.7833 (1.7421)	Prec@1 53.000 (53.837)	Prec@5 81.500 (82.843)
Epoch: [65][500/9018]	Time 0.621 (0.630)	Data 0.014 (0.008)	Loss 1.5035 (1.7419)	Prec@1 60.500 (53.855)	Prec@5 84.000 (82.840)
Epoch: [65][510/9018]	Time 0.612 (0.630)	Data 0.005 (0.008)	Loss 1.8421 (1.7418)	Prec@1 49.500 (53.863)	Prec@5 81.500 (82.853)
Epoch: [65][520/9018]	Time 0.608 (0.629)	Data 0.001 (0.008)	Loss 1.7387 (1.7415)	Prec@1 53.000 (53.866)	Prec@5 81.000 (82.854)
Epoch: [65][530/9018]	Time 0.614 (0.630)	Data 0.001 (0.007)	Loss 1.6472 (1.7400)	Prec@1 57.500 (53.895)	Prec@5 86.500 (82.867)
Epoch: [65][540/9018]	Time 0.618 (0.629)	Data 0.001 (0.007)	Loss 1.5580 (1.7398)	Prec@1 56.000 (53.899)	Prec@5 86.000 (82.864)
Epoch: [65][550/9018]	Time 0.611 (0.629)	Data 0.001 (0.007)	Loss 1.6845 (1.7404)	Prec@1 52.500 (53.882)	Prec@5 86.000 (82.863)
Epoch: [65][560/9018]	Time 0.607 (0.629)	Data 0.001 (0.007)	Loss 1.8607 (1.7404)	Prec@1 52.000 (53.880)	Prec@5 81.500 (82.882)
Epoch: [65][570/9018]	Time 0.619 (0.629)	Data 0.017 (0.007)	Loss 1.6999 (1.7391)	Prec@1 54.500 (53.911)	Prec@5 84.500 (82.904)
Epoch: [65][580/9018]	Time 0.628 (0.629)	Data 0.001 (0.007)	Loss 1.8031 (1.7390)	Prec@1 53.000 (53.894)	Prec@5 80.500 (82.902)
Epoch: [65][590/9018]	Time 0.627 (0.629)	Data 0.001 (0.007)	Loss 1.5650 (1.7393)	Prec@1 60.000 (53.890)	Prec@5 87.000 (82.907)
Epoch: [65][600/9018]	Time 0.614 (0.629)	Data 0.017 (0.007)	Loss 1.8726 (1.7390)	Prec@1 53.500 (53.900)	Prec@5 79.500 (82.903)
Epoch: [65][610/9018]	Time 0.619 (0.629)	Data 0.003 (0.007)	Loss 1.7509 (1.7390)	Prec@1 53.000 (53.891)	Prec@5 82.500 (82.912)
Epoch: [65][620/9018]	Time 0.612 (0.629)	Data 0.001 (0.007)	Loss 1.7658 (1.7383)	Prec@1 55.500 (53.902)	Prec@5 80.500 (82.919)
Epoch: [65][630/9018]	Time 0.616 (0.629)	Data 0.001 (0.007)	Loss 1.6835 (1.7384)	Prec@1 57.500 (53.919)	Prec@5 83.000 (82.911)
Epoch: [65][640/9018]	Time 0.637 (0.629)	Data 0.001 (0.007)	Loss 1.7301 (1.7385)	Prec@1 52.000 (53.899)	Prec@5 84.500 (82.910)
Epoch: [65][650/9018]	Time 0.607 (0.629)	Data 0.001 (0.007)	Loss 2.0078 (1.7381)	Prec@1 49.000 (53.899)	Prec@5 76.500 (82.906)
Epoch: [65][660/9018]	Time 0.630 (0.629)	Data 0.016 (0.007)	Loss 1.7431 (1.7377)	Prec@1 51.000 (53.909)	Prec@5 82.500 (82.911)
Epoch: [65][670/9018]	Time 0.601 (0.628)	Data 0.001 (0.006)	Loss 1.7938 (1.7372)	Prec@1 53.000 (53.924)	Prec@5 81.500 (82.937)
Epoch: [65][680/9018]	Time 0.601 (0.629)	Data 0.007 (0.006)	Loss 1.7966 (1.7369)	Prec@1 49.000 (53.927)	Prec@5 83.500 (82.945)
Epoch: [65][690/9018]	Time 0.632 (0.628)	Data 0.001 (0.006)	Loss 1.8839 (1.7381)	Prec@1 50.500 (53.897)	Prec@5 83.000 (82.923)
Epoch: [65][700/9018]	Time 0.615 (0.628)	Data 0.001 (0.006)	Loss 1.5992 (1.7378)	Prec@1 59.000 (53.909)	Prec@5 84.500 (82.925)
Epoch: [65][710/9018]	Time 0.628 (0.628)	Data 0.001 (0.006)	Loss 1.8016 (1.7383)	Prec@1 53.500 (53.915)	Prec@5 81.500 (82.913)
Epoch: [65][720/9018]	Time 0.774 (0.628)	Data 0.001 (0.006)	Loss 1.5915 (1.7386)	Prec@1 58.000 (53.906)	Prec@5 84.000 (82.925)
Epoch: [65][730/9018]	Time 0.625 (0.628)	Data 0.001 (0.006)	Loss 1.5377 (1.7385)	Prec@1 62.000 (53.928)	Prec@5 84.000 (82.922)
Epoch: [65][740/9018]	Time 0.617 (0.628)	Data 0.001 (0.006)	Loss 1.5819 (1.7387)	Prec@1 55.500 (53.933)	Prec@5 86.500 (82.915)
Epoch: [65][750/9018]	Time 0.606 (0.628)	Data 0.001 (0.006)	Loss 1.7487 (1.7384)	Prec@1 50.500 (53.957)	Prec@5 81.000 (82.911)
Epoch: [65][760/9018]	Time 0.598 (0.628)	Data 0.001 (0.006)	Loss 1.8281 (1.7393)	Prec@1 53.000 (53.929)	Prec@5 81.500 (82.898)
Epoch: [65][770/9018]	Time 0.761 (0.628)	Data 0.014 (0.006)	Loss 1.9127 (1.7396)	Prec@1 52.500 (53.923)	Prec@5 79.500 (82.896)
Epoch: [65][780/9018]	Time 0.623 (0.628)	Data 0.001 (0.006)	Loss 1.8439 (1.7394)	Prec@1 54.000 (53.928)	Prec@5 81.500 (82.900)
Epoch: [65][790/9018]	Time 0.607 (0.628)	Data 0.001 (0.006)	Loss 1.6861 (1.7397)	Prec@1 58.500 (53.917)	Prec@5 85.500 (82.906)
Epoch: [65][800/9018]	Time 0.608 (0.628)	Data 0.001 (0.006)	Loss 1.7697 (1.7393)	Prec@1 55.000 (53.928)	Prec@5 85.500 (82.917)
Epoch: [65][810/9018]	Time 0.632 (0.628)	Data 0.001 (0.006)	Loss 1.6961 (1.7400)	Prec@1 56.500 (53.914)	Prec@5 83.000 (82.901)
Epoch: [65][820/9018]	Time 0.642 (0.628)	Data 0.001 (0.006)	Loss 1.7049 (1.7402)	Prec@1 54.500 (53.904)	Prec@5 83.000 (82.900)
Epoch: [65][830/9018]	Time 0.623 (0.628)	Data 0.001 (0.006)	Loss 1.8945 (1.7400)	Prec@1 49.500 (53.907)	Prec@5 81.500 (82.901)
Epoch: [65][840/9018]	Time 0.614 (0.628)	Data 0.001 (0.006)	Loss 1.6435 (1.7392)	Prec@1 52.000 (53.911)	Prec@5 86.500 (82.927)
Epoch: [65][850/9018]	Time 0.603 (0.628)	Data 0.001 (0.006)	Loss 1.6003 (1.7398)	Prec@1 52.500 (53.887)	Prec@5 88.500 (82.926)
Epoch: [65][860/9018]	Time 0.596 (0.628)	Data 0.001 (0.006)	Loss 1.6321 (1.7393)	Prec@1 55.000 (53.895)	Prec@5 85.000 (82.937)
Epoch: [65][870/9018]	Time 0.626 (0.628)	Data 0.001 (0.006)	Loss 1.9178 (1.7396)	Prec@1 49.500 (53.889)	Prec@5 77.500 (82.941)
Epoch: [65][880/9018]	Time 0.631 (0.628)	Data 0.001 (0.006)	Loss 1.8283 (1.7396)	Prec@1 52.500 (53.887)	Prec@5 80.500 (82.947)
Epoch: [65][890/9018]	Time 0.615 (0.628)	Data 0.007 (0.006)	Loss 1.8573 (1.7398)	Prec@1 51.500 (53.883)	Prec@5 83.000 (82.946)
Epoch: [65][900/9018]	Time 0.614 (0.628)	Data 0.001 (0.006)	Loss 1.6344 (1.7396)	Prec@1 55.000 (53.883)	Prec@5 86.000 (82.954)
Epoch: [65][910/9018]	Time 0.623 (0.628)	Data 0.001 (0.006)	Loss 1.5936 (1.7396)	Prec@1 57.000 (53.871)	Prec@5 86.500 (82.967)
Epoch: [65][920/9018]	Time 0.640 (0.628)	Data 0.001 (0.006)	Loss 1.6702 (1.7397)	Prec@1 51.500 (53.870)	Prec@5 84.000 (82.965)
Epoch: [65][930/9018]	Time 0.591 (0.628)	Data 0.001 (0.006)	Loss 1.7315 (1.7398)	Prec@1 52.500 (53.865)	Prec@5 80.000 (82.954)
Epoch: [65][940/9018]	Time 0.626 (0.628)	Data 0.006 (0.005)	Loss 1.7709 (1.7399)	Prec@1 53.500 (53.855)	Prec@5 83.500 (82.952)
Epoch: [65][950/9018]	Time 0.638 (0.628)	Data 0.001 (0.005)	Loss 1.7805 (1.7398)	Prec@1 56.000 (53.853)	Prec@5 82.000 (82.957)
Epoch: [65][960/9018]	Time 0.628 (0.628)	Data 0.001 (0.005)	Loss 1.7058 (1.7389)	Prec@1 55.000 (53.864)	Prec@5 83.000 (82.968)
Epoch: [65][970/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 1.7191 (1.7394)	Prec@1 55.000 (53.859)	Prec@5 83.000 (82.969)
Epoch: [65][980/9018]	Time 0.623 (0.627)	Data 0.001 (0.005)	Loss 1.5858 (1.7393)	Prec@1 58.000 (53.850)	Prec@5 85.500 (82.966)
Epoch: [65][990/9018]	Time 0.595 (0.627)	Data 0.001 (0.005)	Loss 1.6480 (1.7389)	Prec@1 61.000 (53.861)	Prec@5 83.500 (82.973)
Epoch: [65][1000/9018]	Time 0.621 (0.627)	Data 0.001 (0.005)	Loss 1.8895 (1.7393)	Prec@1 52.500 (53.842)	Prec@5 81.500 (82.966)
Epoch: [65][1010/9018]	Time 0.649 (0.627)	Data 0.001 (0.005)	Loss 1.6946 (1.7387)	Prec@1 53.000 (53.854)	Prec@5 82.000 (82.977)
Epoch: [65][1020/9018]	Time 0.617 (0.627)	Data 0.001 (0.005)	Loss 1.8216 (1.7395)	Prec@1 49.500 (53.845)	Prec@5 84.000 (82.965)
Epoch: [65][1030/9018]	Time 0.607 (0.627)	Data 0.001 (0.005)	Loss 1.7615 (1.7396)	Prec@1 54.500 (53.839)	Prec@5 88.000 (82.975)
Epoch: [65][1040/9018]	Time 0.592 (0.627)	Data 0.001 (0.005)	Loss 1.8905 (1.7396)	Prec@1 53.000 (53.839)	Prec@5 79.500 (82.978)
Epoch: [65][1050/9018]	Time 0.822 (0.627)	Data 0.001 (0.005)	Loss 1.6782 (1.7398)	Prec@1 55.000 (53.834)	Prec@5 84.500 (82.980)
Epoch: [65][1060/9018]	Time 0.601 (0.627)	Data 0.001 (0.005)	Loss 1.4875 (1.7394)	Prec@1 59.000 (53.844)	Prec@5 87.500 (82.990)
Epoch: [65][1070/9018]	Time 0.609 (0.627)	Data 0.001 (0.005)	Loss 1.7556 (1.7394)	Prec@1 56.500 (53.847)	Prec@5 79.000 (82.983)
Epoch: [65][1080/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 1.4822 (1.7387)	Prec@1 61.000 (53.864)	Prec@5 88.000 (83.001)
Epoch: [65][1090/9018]	Time 0.600 (0.627)	Data 0.001 (0.005)	Loss 2.0235 (1.7388)	Prec@1 48.000 (53.852)	Prec@5 77.000 (82.996)
Epoch: [65][1100/9018]	Time 0.773 (0.627)	Data 0.001 (0.005)	Loss 1.7688 (1.7388)	Prec@1 52.500 (53.841)	Prec@5 80.000 (83.002)
Epoch: [65][1110/9018]	Time 0.623 (0.627)	Data 0.001 (0.005)	Loss 1.6885 (1.7387)	Prec@1 54.000 (53.834)	Prec@5 83.000 (83.003)
Epoch: [65][1120/9018]	Time 0.603 (0.627)	Data 0.005 (0.005)	Loss 1.5333 (1.7386)	Prec@1 52.000 (53.840)	Prec@5 85.500 (83.002)
Epoch: [65][1130/9018]	Time 0.636 (0.627)	Data 0.001 (0.005)	Loss 1.7333 (1.7384)	Prec@1 53.500 (53.832)	Prec@5 84.000 (83.001)
Epoch: [65][1140/9018]	Time 0.594 (0.627)	Data 0.001 (0.005)	Loss 1.6474 (1.7384)	Prec@1 53.500 (53.833)	Prec@5 85.500 (82.997)
Epoch: [65][1150/9018]	Time 0.612 (0.627)	Data 0.001 (0.005)	Loss 1.8562 (1.7385)	Prec@1 51.000 (53.831)	Prec@5 80.500 (82.999)
Epoch: [65][1160/9018]	Time 0.606 (0.627)	Data 0.001 (0.005)	Loss 1.6230 (1.7384)	Prec@1 57.500 (53.845)	Prec@5 87.000 (82.994)
Epoch: [65][1170/9018]	Time 0.604 (0.627)	Data 0.001 (0.005)	Loss 1.7686 (1.7387)	Prec@1 53.000 (53.834)	Prec@5 82.000 (82.981)
Epoch: [65][1180/9018]	Time 0.628 (0.627)	Data 0.001 (0.005)	Loss 1.8249 (1.7380)	Prec@1 50.000 (53.841)	Prec@5 82.000 (82.990)
Epoch: [65][1190/9018]	Time 0.604 (0.627)	Data 0.001 (0.005)	Loss 1.8042 (1.7378)	Prec@1 54.000 (53.853)	Prec@5 84.000 (82.990)
Epoch: [65][1200/9018]	Time 0.655 (0.627)	Data 0.001 (0.005)	Loss 1.7187 (1.7373)	Prec@1 53.000 (53.867)	Prec@5 86.000 (83.001)
Epoch: [65][1210/9018]	Time 0.604 (0.627)	Data 0.009 (0.005)	Loss 1.8181 (1.7373)	Prec@1 50.000 (53.861)	Prec@5 81.000 (82.998)
Epoch: [65][1220/9018]	Time 0.622 (0.627)	Data 0.016 (0.005)	Loss 1.5518 (1.7368)	Prec@1 60.500 (53.867)	Prec@5 84.000 (83.006)
Epoch: [65][1230/9018]	Time 0.616 (0.627)	Data 0.001 (0.005)	Loss 1.7342 (1.7373)	Prec@1 51.000 (53.845)	Prec@5 86.000 (83.003)
Epoch: [65][1240/9018]	Time 0.611 (0.627)	Data 0.001 (0.005)	Loss 1.7756 (1.7375)	Prec@1 51.500 (53.832)	Prec@5 81.000 (82.997)
Epoch: [65][1250/9018]	Time 0.597 (0.627)	Data 0.001 (0.005)	Loss 1.7047 (1.7370)	Prec@1 52.500 (53.843)	Prec@5 86.500 (83.009)
Epoch: [65][1260/9018]	Time 0.607 (0.627)	Data 0.003 (0.005)	Loss 1.8675 (1.7375)	Prec@1 50.000 (53.837)	Prec@5 80.500 (82.999)
Epoch: [65][1270/9018]	Time 0.594 (0.627)	Data 0.007 (0.005)	Loss 1.5954 (1.7372)	Prec@1 55.500 (53.847)	Prec@5 82.000 (83.007)
Epoch: [65][1280/9018]	Time 0.620 (0.627)	Data 0.001 (0.005)	Loss 1.8191 (1.7370)	Prec@1 50.000 (53.854)	Prec@5 84.500 (83.012)
Epoch: [65][1290/9018]	Time 0.627 (0.627)	Data 0.009 (0.005)	Loss 1.7895 (1.7370)	Prec@1 53.000 (53.853)	Prec@5 80.000 (83.013)
Epoch: [65][1300/9018]	Time 0.596 (0.627)	Data 0.001 (0.005)	Loss 1.7113 (1.7376)	Prec@1 52.000 (53.841)	Prec@5 83.500 (83.007)
Epoch: [65][1310/9018]	Time 0.624 (0.627)	Data 0.016 (0.005)	Loss 1.7713 (1.7380)	Prec@1 53.500 (53.833)	Prec@5 83.500 (83.004)
Epoch: [65][1320/9018]	Time 0.616 (0.627)	Data 0.001 (0.005)	Loss 1.8612 (1.7380)	Prec@1 55.000 (53.838)	Prec@5 79.000 (83.006)
Epoch: [65][1330/9018]	Time 0.629 (0.627)	Data 0.001 (0.005)	Loss 1.5243 (1.7378)	Prec@1 59.000 (53.840)	Prec@5 84.000 (83.011)
Epoch: [65][1340/9018]	Time 0.619 (0.627)	Data 0.001 (0.005)	Loss 1.8698 (1.7383)	Prec@1 54.000 (53.830)	Prec@5 78.500 (83.001)
Epoch: [65][1350/9018]	Time 0.619 (0.627)	Data 0.001 (0.005)	Loss 1.6295 (1.7384)	Prec@1 54.000 (53.826)	Prec@5 85.500 (82.999)
Epoch: [65][1360/9018]	Time 0.647 (0.627)	Data 0.001 (0.005)	Loss 1.8915 (1.7386)	Prec@1 51.000 (53.820)	Prec@5 83.500 (82.996)
Epoch: [65][1370/9018]	Time 0.626 (0.627)	Data 0.001 (0.005)	Loss 1.6646 (1.7385)	Prec@1 57.500 (53.822)	Prec@5 83.500 (82.997)
Epoch: [65][1380/9018]	Time 0.783 (0.627)	Data 0.001 (0.005)	Loss 1.7295 (1.7383)	Prec@1 56.500 (53.826)	Prec@5 82.500 (83.001)
Epoch: [65][1390/9018]	Time 0.604 (0.627)	Data 0.014 (0.005)	Loss 1.7668 (1.7381)	Prec@1 52.000 (53.819)	Prec@5 81.000 (83.005)
Epoch: [65][1400/9018]	Time 0.611 (0.627)	Data 0.020 (0.005)	Loss 1.8003 (1.7384)	Prec@1 49.000 (53.812)	Prec@5 82.000 (82.996)
Epoch: [65][1410/9018]	Time 0.609 (0.627)	Data 0.001 (0.005)	Loss 1.4366 (1.7380)	Prec@1 59.500 (53.818)	Prec@5 89.500 (83.006)
Epoch: [65][1420/9018]	Time 0.611 (0.627)	Data 0.001 (0.004)	Loss 1.8093 (1.7379)	Prec@1 56.500 (53.824)	Prec@5 82.000 (83.004)
Epoch: [65][1430/9018]	Time 0.746 (0.627)	Data 0.001 (0.004)	Loss 1.7658 (1.7381)	Prec@1 54.000 (53.826)	Prec@5 84.000 (83.003)
Epoch: [65][1440/9018]	Time 0.630 (0.627)	Data 0.001 (0.004)	Loss 1.7999 (1.7384)	Prec@1 53.500 (53.824)	Prec@5 81.000 (82.999)
Epoch: [65][1450/9018]	Time 0.623 (0.627)	Data 0.001 (0.004)	Loss 1.8655 (1.7387)	Prec@1 51.000 (53.814)	Prec@5 81.500 (82.990)
Epoch: [65][1460/9018]	Time 0.603 (0.627)	Data 0.001 (0.004)	Loss 1.8838 (1.7384)	Prec@1 48.500 (53.819)	Prec@5 79.000 (82.994)
Epoch: [65][1470/9018]	Time 0.632 (0.627)	Data 0.001 (0.004)	Loss 1.9635 (1.7391)	Prec@1 48.000 (53.805)	Prec@5 80.000 (82.983)
Epoch: [65][1480/9018]	Time 0.625 (0.627)	Data 0.001 (0.004)	Loss 1.8780 (1.7387)	Prec@1 49.000 (53.812)	Prec@5 83.500 (82.990)
Epoch: [65][1490/9018]	Time 0.595 (0.627)	Data 0.001 (0.004)	Loss 1.6416 (1.7383)	Prec@1 55.000 (53.821)	Prec@5 87.000 (83.002)
Epoch: [65][1500/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 1.8245 (1.7382)	Prec@1 50.500 (53.821)	Prec@5 83.000 (83.001)
Epoch: [65][1510/9018]	Time 0.637 (0.627)	Data 0.001 (0.004)	Loss 1.8420 (1.7389)	Prec@1 50.000 (53.803)	Prec@5 80.000 (82.983)
Epoch: [65][1520/9018]	Time 0.632 (0.627)	Data 0.001 (0.004)	Loss 1.6490 (1.7388)	Prec@1 53.500 (53.798)	Prec@5 86.000 (82.983)
Epoch: [65][1530/9018]	Time 0.638 (0.627)	Data 0.001 (0.004)	Loss 1.7975 (1.7392)	Prec@1 53.000 (53.788)	Prec@5 82.000 (82.975)
Epoch: [65][1540/9018]	Time 0.599 (0.627)	Data 0.001 (0.004)	Loss 1.6039 (1.7394)	Prec@1 57.500 (53.783)	Prec@5 84.500 (82.971)
Epoch: [65][1550/9018]	Time 0.596 (0.627)	Data 0.001 (0.004)	Loss 1.7264 (1.7394)	Prec@1 56.500 (53.789)	Prec@5 83.500 (82.973)
Epoch: [65][1560/9018]	Time 0.634 (0.627)	Data 0.001 (0.004)	Loss 1.6206 (1.7393)	Prec@1 58.500 (53.789)	Prec@5 83.500 (82.975)
Epoch: [65][1570/9018]	Time 0.603 (0.627)	Data 0.001 (0.004)	Loss 1.5559 (1.7393)	Prec@1 58.000 (53.793)	Prec@5 83.000 (82.973)
Epoch: [65][1580/9018]	Time 0.608 (0.627)	Data 0.001 (0.004)	Loss 1.6726 (1.7396)	Prec@1 55.000 (53.786)	Prec@5 83.500 (82.969)
Epoch: [65][1590/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 1.6772 (1.7391)	Prec@1 54.000 (53.796)	Prec@5 83.500 (82.979)
Epoch: [65][1600/9018]	Time 0.604 (0.627)	Data 0.016 (0.004)	Loss 1.5945 (1.7391)	Prec@1 57.000 (53.799)	Prec@5 85.500 (82.968)
Epoch: [65][1610/9018]	Time 0.590 (0.626)	Data 0.001 (0.004)	Loss 1.6827 (1.7392)	Prec@1 53.000 (53.801)	Prec@5 85.000 (82.962)
Epoch: [65][1620/9018]	Time 0.632 (0.627)	Data 0.001 (0.004)	Loss 1.9187 (1.7395)	Prec@1 45.500 (53.792)	Prec@5 81.500 (82.956)
Epoch: [65][1630/9018]	Time 0.588 (0.627)	Data 0.001 (0.004)	Loss 1.7585 (1.7401)	Prec@1 55.500 (53.775)	Prec@5 84.500 (82.946)
Epoch: [65][1640/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.7047 (1.7402)	Prec@1 56.000 (53.774)	Prec@5 81.000 (82.945)
Epoch: [65][1650/9018]	Time 0.610 (0.627)	Data 0.017 (0.004)	Loss 1.8072 (1.7406)	Prec@1 54.500 (53.764)	Prec@5 81.000 (82.938)
Epoch: [65][1660/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.7397 (1.7404)	Prec@1 58.000 (53.772)	Prec@5 84.000 (82.944)
Epoch: [65][1670/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.8410 (1.7405)	Prec@1 50.500 (53.770)	Prec@5 81.500 (82.943)
Epoch: [65][1680/9018]	Time 0.626 (0.626)	Data 0.015 (0.004)	Loss 1.7028 (1.7406)	Prec@1 54.000 (53.763)	Prec@5 85.500 (82.942)
Epoch: [65][1690/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.8392 (1.7404)	Prec@1 50.500 (53.771)	Prec@5 81.500 (82.941)
Epoch: [65][1700/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 1.6712 (1.7403)	Prec@1 55.000 (53.775)	Prec@5 82.500 (82.943)
Epoch: [65][1710/9018]	Time 0.728 (0.626)	Data 0.001 (0.004)	Loss 1.6628 (1.7403)	Prec@1 53.000 (53.767)	Prec@5 86.000 (82.946)
Epoch: [65][1720/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 1.7618 (1.7406)	Prec@1 53.500 (53.768)	Prec@5 80.500 (82.942)
Epoch: [65][1730/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.8464 (1.7407)	Prec@1 51.000 (53.767)	Prec@5 80.500 (82.938)
Epoch: [65][1740/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.8333 (1.7405)	Prec@1 51.000 (53.774)	Prec@5 85.000 (82.946)
Epoch: [65][1750/9018]	Time 0.626 (0.626)	Data 0.001 (0.004)	Loss 1.8726 (1.7408)	Prec@1 48.500 (53.766)	Prec@5 82.500 (82.943)
Epoch: [65][1760/9018]	Time 0.770 (0.626)	Data 0.001 (0.004)	Loss 1.7573 (1.7410)	Prec@1 52.000 (53.760)	Prec@5 82.500 (82.939)
Epoch: [65][1770/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.6659 (1.7408)	Prec@1 56.000 (53.765)	Prec@5 82.000 (82.937)
Epoch: [65][1780/9018]	Time 0.603 (0.626)	Data 0.003 (0.004)	Loss 1.7935 (1.7407)	Prec@1 55.000 (53.766)	Prec@5 81.000 (82.943)
Epoch: [65][1790/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.7528 (1.7409)	Prec@1 51.000 (53.768)	Prec@5 84.000 (82.941)
Epoch: [65][1800/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.7799 (1.7411)	Prec@1 53.000 (53.759)	Prec@5 80.500 (82.935)
Epoch: [65][1810/9018]	Time 0.638 (0.626)	Data 0.015 (0.004)	Loss 1.8412 (1.7411)	Prec@1 55.500 (53.763)	Prec@5 79.500 (82.932)
Epoch: [65][1820/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.6110 (1.7408)	Prec@1 56.500 (53.766)	Prec@5 83.500 (82.936)
Epoch: [65][1830/9018]	Time 0.603 (0.626)	Data 0.013 (0.004)	Loss 1.7830 (1.7409)	Prec@1 53.500 (53.770)	Prec@5 80.500 (82.932)
Epoch: [65][1840/9018]	Time 0.628 (0.626)	Data 0.016 (0.004)	Loss 1.6674 (1.7406)	Prec@1 57.500 (53.785)	Prec@5 83.000 (82.933)
Epoch: [65][1850/9018]	Time 0.624 (0.626)	Data 0.001 (0.004)	Loss 1.7365 (1.7411)	Prec@1 55.500 (53.771)	Prec@5 83.500 (82.922)
Epoch: [65][1860/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.8358 (1.7408)	Prec@1 53.500 (53.785)	Prec@5 82.000 (82.929)
Epoch: [65][1870/9018]	Time 0.629 (0.626)	Data 0.001 (0.004)	Loss 1.5208 (1.7403)	Prec@1 60.000 (53.794)	Prec@5 86.000 (82.933)
Epoch: [65][1880/9018]	Time 0.632 (0.626)	Data 0.001 (0.004)	Loss 1.6362 (1.7401)	Prec@1 56.500 (53.800)	Prec@5 84.000 (82.928)
Epoch: [65][1890/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.7051 (1.7401)	Prec@1 56.500 (53.789)	Prec@5 83.500 (82.928)
Epoch: [65][1900/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.9472 (1.7402)	Prec@1 48.000 (53.792)	Prec@5 81.500 (82.922)
Epoch: [65][1910/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.7043 (1.7403)	Prec@1 53.000 (53.783)	Prec@5 84.000 (82.923)
Epoch: [65][1920/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 1.8084 (1.7400)	Prec@1 50.500 (53.788)	Prec@5 81.000 (82.926)
Epoch: [65][1930/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.8693 (1.7402)	Prec@1 50.500 (53.789)	Prec@5 80.500 (82.924)
Epoch: [65][1940/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 1.9364 (1.7404)	Prec@1 48.500 (53.774)	Prec@5 81.500 (82.927)
Epoch: [65][1950/9018]	Time 0.637 (0.626)	Data 0.017 (0.004)	Loss 1.8238 (1.7402)	Prec@1 51.500 (53.781)	Prec@5 82.500 (82.929)
Epoch: [65][1960/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.8048 (1.7404)	Prec@1 50.000 (53.772)	Prec@5 81.000 (82.925)
Epoch: [65][1970/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.7691 (1.7403)	Prec@1 57.500 (53.780)	Prec@5 81.000 (82.923)
Epoch: [65][1980/9018]	Time 0.629 (0.626)	Data 0.001 (0.004)	Loss 1.6164 (1.7401)	Prec@1 53.000 (53.776)	Prec@5 85.000 (82.928)
Epoch: [65][1990/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.5759 (1.7400)	Prec@1 58.000 (53.782)	Prec@5 86.000 (82.931)
Epoch: [65][2000/9018]	Time 0.632 (0.626)	Data 0.001 (0.004)	Loss 1.8460 (1.7400)	Prec@1 46.500 (53.775)	Prec@5 82.000 (82.932)
Epoch: [65][2010/9018]	Time 0.659 (0.626)	Data 0.001 (0.004)	Loss 1.6160 (1.7398)	Prec@1 58.500 (53.780)	Prec@5 84.500 (82.936)
Epoch: [65][2020/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.5971 (1.7396)	Prec@1 55.000 (53.787)	Prec@5 87.500 (82.940)
Epoch: [65][2030/9018]	Time 0.635 (0.626)	Data 0.001 (0.004)	Loss 1.7354 (1.7396)	Prec@1 55.500 (53.783)	Prec@5 82.500 (82.940)
Epoch: [65][2040/9018]	Time 0.816 (0.626)	Data 0.001 (0.004)	Loss 1.8105 (1.7396)	Prec@1 55.500 (53.782)	Prec@5 82.000 (82.945)
Epoch: [65][2050/9018]	Time 0.628 (0.626)	Data 0.009 (0.004)	Loss 1.6523 (1.7395)	Prec@1 57.500 (53.791)	Prec@5 83.000 (82.944)
Epoch: [65][2060/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.7025 (1.7392)	Prec@1 55.500 (53.801)	Prec@5 84.000 (82.950)
Epoch: [65][2070/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.6903 (1.7388)	Prec@1 54.000 (53.803)	Prec@5 84.000 (82.959)
Epoch: [65][2080/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.7100 (1.7386)	Prec@1 54.500 (53.807)	Prec@5 81.000 (82.961)
Epoch: [65][2090/9018]	Time 0.786 (0.626)	Data 0.001 (0.004)	Loss 1.4855 (1.7385)	Prec@1 62.500 (53.813)	Prec@5 92.000 (82.961)
Epoch: [65][2100/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.7693 (1.7384)	Prec@1 54.000 (53.817)	Prec@5 80.000 (82.963)
Epoch: [65][2110/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.7077 (1.7386)	Prec@1 49.500 (53.812)	Prec@5 85.500 (82.962)
Epoch: [65][2120/9018]	Time 0.637 (0.626)	Data 0.001 (0.004)	Loss 1.8861 (1.7389)	Prec@1 52.000 (53.808)	Prec@5 83.000 (82.958)
Epoch: [65][2130/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.7353 (1.7387)	Prec@1 55.500 (53.821)	Prec@5 80.000 (82.959)
Epoch: [65][2140/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.6939 (1.7387)	Prec@1 50.000 (53.816)	Prec@5 82.500 (82.950)
Epoch: [65][2150/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.7513 (1.7387)	Prec@1 52.000 (53.808)	Prec@5 83.500 (82.955)
Epoch: [65][2160/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.6880 (1.7385)	Prec@1 52.000 (53.803)	Prec@5 84.000 (82.960)
Epoch: [65][2170/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.5923 (1.7382)	Prec@1 53.500 (53.806)	Prec@5 87.000 (82.969)
Epoch: [65][2180/9018]	Time 0.604 (0.626)	Data 0.014 (0.004)	Loss 1.5708 (1.7381)	Prec@1 56.000 (53.811)	Prec@5 86.500 (82.970)
Epoch: [65][2190/9018]	Time 0.635 (0.626)	Data 0.014 (0.004)	Loss 1.7631 (1.7383)	Prec@1 56.000 (53.810)	Prec@5 83.000 (82.966)
Epoch: [65][2200/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.7380 (1.7382)	Prec@1 52.000 (53.812)	Prec@5 83.000 (82.966)
Epoch: [65][2210/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.8551 (1.7383)	Prec@1 50.000 (53.810)	Prec@5 81.500 (82.966)
Epoch: [65][2220/9018]	Time 0.640 (0.626)	Data 0.001 (0.004)	Loss 1.7573 (1.7382)	Prec@1 52.000 (53.811)	Prec@5 85.500 (82.969)
Epoch: [65][2230/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.8194 (1.7384)	Prec@1 54.500 (53.812)	Prec@5 82.500 (82.963)
Epoch: [65][2240/9018]	Time 0.644 (0.626)	Data 0.001 (0.004)	Loss 2.0946 (1.7386)	Prec@1 47.000 (53.807)	Prec@5 75.500 (82.959)
Epoch: [65][2250/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 1.7592 (1.7384)	Prec@1 53.500 (53.812)	Prec@5 86.000 (82.961)
Epoch: [65][2260/9018]	Time 0.606 (0.626)	Data 0.001 (0.004)	Loss 1.8150 (1.7385)	Prec@1 51.500 (53.804)	Prec@5 82.500 (82.960)
Epoch: [65][2270/9018]	Time 0.596 (0.626)	Data 0.001 (0.004)	Loss 1.7250 (1.7381)	Prec@1 56.000 (53.816)	Prec@5 83.500 (82.967)
Epoch: [65][2280/9018]	Time 0.632 (0.626)	Data 0.001 (0.004)	Loss 1.6641 (1.7381)	Prec@1 53.000 (53.807)	Prec@5 86.000 (82.967)
Epoch: [65][2290/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 1.6561 (1.7380)	Prec@1 52.500 (53.806)	Prec@5 85.500 (82.967)
Epoch: [65][2300/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.6833 (1.7378)	Prec@1 55.000 (53.811)	Prec@5 82.500 (82.970)
Epoch: [65][2310/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.7689 (1.7378)	Prec@1 53.500 (53.815)	Prec@5 84.500 (82.969)
Epoch: [65][2320/9018]	Time 0.620 (0.626)	Data 0.014 (0.004)	Loss 1.8571 (1.7379)	Prec@1 51.500 (53.809)	Prec@5 81.000 (82.964)
Epoch: [65][2330/9018]	Time 0.610 (0.626)	Data 0.009 (0.004)	Loss 1.8909 (1.7379)	Prec@1 54.000 (53.810)	Prec@5 80.000 (82.961)
Epoch: [65][2340/9018]	Time 0.610 (0.626)	Data 0.013 (0.004)	Loss 1.6484 (1.7375)	Prec@1 52.500 (53.821)	Prec@5 83.500 (82.963)
Epoch: [65][2350/9018]	Time 0.623 (0.626)	Data 0.001 (0.004)	Loss 1.7147 (1.7375)	Prec@1 55.500 (53.823)	Prec@5 82.000 (82.966)
Epoch: [65][2360/9018]	Time 0.597 (0.626)	Data 0.001 (0.004)	Loss 1.9505 (1.7374)	Prec@1 51.500 (53.827)	Prec@5 78.000 (82.966)
Epoch: [65][2370/9018]	Time 0.778 (0.626)	Data 0.001 (0.004)	Loss 1.6904 (1.7372)	Prec@1 59.500 (53.829)	Prec@5 82.000 (82.969)
Epoch: [65][2380/9018]	Time 0.630 (0.626)	Data 0.008 (0.004)	Loss 1.6898 (1.7373)	Prec@1 57.000 (53.827)	Prec@5 82.000 (82.968)
Epoch: [65][2390/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.9396 (1.7372)	Prec@1 48.500 (53.832)	Prec@5 80.000 (82.975)
Epoch: [65][2400/9018]	Time 0.615 (0.626)	Data 0.016 (0.004)	Loss 1.7353 (1.7372)	Prec@1 49.500 (53.825)	Prec@5 83.000 (82.973)
Epoch: [65][2410/9018]	Time 0.607 (0.626)	Data 0.013 (0.004)	Loss 1.8274 (1.7372)	Prec@1 52.500 (53.822)	Prec@5 84.000 (82.977)
Epoch: [65][2420/9018]	Time 0.779 (0.626)	Data 0.001 (0.004)	Loss 1.7626 (1.7374)	Prec@1 53.500 (53.817)	Prec@5 84.000 (82.977)
Epoch: [65][2430/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.6937 (1.7373)	Prec@1 55.000 (53.817)	Prec@5 82.000 (82.983)
Epoch: [65][2440/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.7530 (1.7373)	Prec@1 57.500 (53.820)	Prec@5 78.000 (82.978)
Epoch: [65][2450/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 1.7697 (1.7375)	Prec@1 52.000 (53.815)	Prec@5 81.000 (82.976)
Epoch: [65][2460/9018]	Time 0.590 (0.626)	Data 0.001 (0.004)	Loss 1.7228 (1.7378)	Prec@1 52.500 (53.808)	Prec@5 83.500 (82.973)
Epoch: [65][2470/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.8441 (1.7377)	Prec@1 51.000 (53.809)	Prec@5 82.500 (82.979)
Epoch: [65][2480/9018]	Time 0.597 (0.626)	Data 0.016 (0.004)	Loss 1.8739 (1.7379)	Prec@1 50.000 (53.806)	Prec@5 81.000 (82.978)
Epoch: [65][2490/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.6834 (1.7378)	Prec@1 52.500 (53.807)	Prec@5 83.500 (82.982)
Epoch: [65][2500/9018]	Time 0.627 (0.626)	Data 0.017 (0.004)	Loss 1.6603 (1.7377)	Prec@1 56.000 (53.811)	Prec@5 83.000 (82.979)
Epoch: [65][2510/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.7025 (1.7378)	Prec@1 53.500 (53.815)	Prec@5 81.500 (82.975)
Epoch: [65][2520/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.5488 (1.7379)	Prec@1 58.000 (53.809)	Prec@5 86.500 (82.974)
Epoch: [65][2530/9018]	Time 0.639 (0.626)	Data 0.001 (0.004)	Loss 1.8579 (1.7380)	Prec@1 52.500 (53.801)	Prec@5 81.500 (82.975)
Epoch: [65][2540/9018]	Time 0.589 (0.626)	Data 0.001 (0.004)	Loss 1.8263 (1.7382)	Prec@1 51.000 (53.796)	Prec@5 80.000 (82.976)
Epoch: [65][2550/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 1.6538 (1.7379)	Prec@1 57.500 (53.801)	Prec@5 81.500 (82.979)
Epoch: [65][2560/9018]	Time 0.596 (0.626)	Data 0.001 (0.004)	Loss 1.6611 (1.7377)	Prec@1 55.500 (53.807)	Prec@5 83.500 (82.985)
Epoch: [65][2570/9018]	Time 0.638 (0.626)	Data 0.001 (0.004)	Loss 1.5882 (1.7377)	Prec@1 56.000 (53.803)	Prec@5 86.500 (82.987)
Epoch: [65][2580/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.5958 (1.7375)	Prec@1 53.000 (53.803)	Prec@5 87.500 (82.993)
Epoch: [65][2590/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.5625 (1.7373)	Prec@1 54.000 (53.804)	Prec@5 86.000 (82.997)
Epoch: [65][2600/9018]	Time 0.608 (0.626)	Data 0.014 (0.004)	Loss 1.6794 (1.7372)	Prec@1 56.000 (53.805)	Prec@5 84.500 (82.995)
Epoch: [65][2610/9018]	Time 0.632 (0.626)	Data 0.001 (0.004)	Loss 1.7608 (1.7371)	Prec@1 51.500 (53.808)	Prec@5 80.500 (82.996)
Epoch: [65][2620/9018]	Time 0.604 (0.626)	Data 0.017 (0.004)	Loss 1.7652 (1.7371)	Prec@1 55.000 (53.811)	Prec@5 83.500 (82.997)
Epoch: [65][2630/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.4347 (1.7370)	Prec@1 60.500 (53.812)	Prec@5 88.500 (82.998)
Epoch: [65][2640/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.6334 (1.7369)	Prec@1 57.000 (53.815)	Prec@5 87.500 (83.000)
Epoch: [65][2650/9018]	Time 0.655 (0.626)	Data 0.001 (0.004)	Loss 1.5636 (1.7369)	Prec@1 57.000 (53.817)	Prec@5 87.500 (82.999)
Epoch: [65][2660/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.6601 (1.7369)	Prec@1 54.000 (53.814)	Prec@5 82.000 (82.996)
Epoch: [65][2670/9018]	Time 0.675 (0.626)	Data 0.001 (0.004)	Loss 1.7529 (1.7370)	Prec@1 51.000 (53.806)	Prec@5 81.500 (82.995)
Epoch: [65][2680/9018]	Time 0.611 (0.626)	Data 0.017 (0.004)	Loss 1.6928 (1.7370)	Prec@1 54.500 (53.801)	Prec@5 82.500 (82.993)
Epoch: [65][2690/9018]	Time 0.623 (0.626)	Data 0.014 (0.004)	Loss 1.8428 (1.7370)	Prec@1 52.000 (53.802)	Prec@5 79.500 (82.991)
Epoch: [65][2700/9018]	Time 0.789 (0.626)	Data 0.001 (0.004)	Loss 1.9901 (1.7370)	Prec@1 50.000 (53.805)	Prec@5 78.500 (82.988)
Epoch: [65][2710/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.8075 (1.7371)	Prec@1 55.500 (53.810)	Prec@5 81.000 (82.985)
Epoch: [65][2720/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 1.7521 (1.7370)	Prec@1 52.500 (53.814)	Prec@5 84.500 (82.983)
Epoch: [65][2730/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.8516 (1.7371)	Prec@1 55.000 (53.817)	Prec@5 81.500 (82.985)
Epoch: [65][2740/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.6327 (1.7370)	Prec@1 52.500 (53.816)	Prec@5 86.000 (82.984)
Epoch: [65][2750/9018]	Time 0.750 (0.626)	Data 0.001 (0.004)	Loss 1.8824 (1.7368)	Prec@1 51.000 (53.819)	Prec@5 82.500 (82.987)
Epoch: [65][2760/9018]	Time 0.603 (0.626)	Data 0.027 (0.004)	Loss 1.8108 (1.7369)	Prec@1 50.500 (53.817)	Prec@5 81.000 (82.981)
Epoch: [65][2770/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.7091 (1.7369)	Prec@1 56.000 (53.817)	Prec@5 85.000 (82.983)
Epoch: [65][2780/9018]	Time 0.610 (0.626)	Data 0.010 (0.004)	Loss 1.6727 (1.7367)	Prec@1 55.500 (53.825)	Prec@5 82.500 (82.985)
Epoch: [65][2790/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.6789 (1.7367)	Prec@1 53.000 (53.824)	Prec@5 84.500 (82.983)
Epoch: [65][2800/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 1.8495 (1.7369)	Prec@1 51.500 (53.821)	Prec@5 82.000 (82.981)
Epoch: [65][2810/9018]	Time 0.659 (0.626)	Data 0.014 (0.004)	Loss 1.9770 (1.7371)	Prec@1 47.000 (53.816)	Prec@5 78.000 (82.976)
Epoch: [65][2820/9018]	Time 0.598 (0.626)	Data 0.011 (0.004)	Loss 1.7733 (1.7373)	Prec@1 55.000 (53.814)	Prec@5 80.000 (82.971)
Epoch: [65][2830/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.8548 (1.7374)	Prec@1 55.500 (53.815)	Prec@5 79.500 (82.968)
Epoch: [65][2840/9018]	Time 0.606 (0.626)	Data 0.001 (0.004)	Loss 1.6847 (1.7375)	Prec@1 52.500 (53.809)	Prec@5 82.500 (82.966)
Epoch: [65][2850/9018]	Time 0.598 (0.626)	Data 0.001 (0.004)	Loss 1.5720 (1.7374)	Prec@1 58.000 (53.808)	Prec@5 86.000 (82.963)
Epoch: [65][2860/9018]	Time 0.619 (0.626)	Data 0.014 (0.004)	Loss 1.6500 (1.7373)	Prec@1 59.500 (53.814)	Prec@5 83.000 (82.966)
Epoch: [65][2870/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.9194 (1.7373)	Prec@1 50.500 (53.817)	Prec@5 79.500 (82.962)
Epoch: [65][2880/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.8063 (1.7371)	Prec@1 55.000 (53.820)	Prec@5 79.500 (82.964)
Epoch: [65][2890/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.6743 (1.7369)	Prec@1 55.500 (53.826)	Prec@5 86.500 (82.971)
Epoch: [65][2900/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.6187 (1.7369)	Prec@1 56.000 (53.826)	Prec@5 84.500 (82.971)
Epoch: [65][2910/9018]	Time 0.611 (0.626)	Data 0.017 (0.004)	Loss 1.9071 (1.7371)	Prec@1 53.500 (53.826)	Prec@5 79.500 (82.967)
Epoch: [65][2920/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.7571 (1.7373)	Prec@1 52.000 (53.819)	Prec@5 82.000 (82.964)
Epoch: [65][2930/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.9232 (1.7373)	Prec@1 51.000 (53.815)	Prec@5 81.500 (82.963)
Epoch: [65][2940/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.8425 (1.7372)	Prec@1 51.500 (53.818)	Prec@5 82.000 (82.964)
Epoch: [65][2950/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.8261 (1.7376)	Prec@1 49.000 (53.810)	Prec@5 82.000 (82.956)
Epoch: [65][2960/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 1.7649 (1.7374)	Prec@1 50.000 (53.811)	Prec@5 84.500 (82.960)
Epoch: [65][2970/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.6733 (1.7373)	Prec@1 58.500 (53.814)	Prec@5 84.000 (82.962)
Epoch: [65][2980/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.7420 (1.7374)	Prec@1 58.500 (53.813)	Prec@5 80.000 (82.963)
Epoch: [65][2990/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 1.9215 (1.7373)	Prec@1 49.000 (53.814)	Prec@5 82.000 (82.964)
Epoch: [65][3000/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.6259 (1.7373)	Prec@1 51.000 (53.816)	Prec@5 88.000 (82.968)
Epoch: [65][3010/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 1.7495 (1.7371)	Prec@1 56.000 (53.822)	Prec@5 80.000 (82.970)
Epoch: [65][3020/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.6031 (1.7370)	Prec@1 55.000 (53.827)	Prec@5 83.000 (82.971)
Epoch: [65][3030/9018]	Time 0.778 (0.626)	Data 0.013 (0.004)	Loss 1.6670 (1.7368)	Prec@1 52.000 (53.831)	Prec@5 85.000 (82.975)
Epoch: [65][3040/9018]	Time 0.621 (0.626)	Data 0.004 (0.004)	Loss 1.5995 (1.7367)	Prec@1 58.500 (53.835)	Prec@5 86.000 (82.975)
Epoch: [65][3050/9018]	Time 0.604 (0.626)	Data 0.003 (0.004)	Loss 1.7184 (1.7368)	Prec@1 56.000 (53.835)	Prec@5 82.500 (82.975)
Epoch: [65][3060/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.7249 (1.7371)	Prec@1 52.000 (53.824)	Prec@5 80.000 (82.971)
Epoch: [65][3070/9018]	Time 0.602 (0.626)	Data 0.012 (0.004)	Loss 1.8849 (1.7372)	Prec@1 52.000 (53.821)	Prec@5 80.000 (82.971)
Epoch: [65][3080/9018]	Time 0.800 (0.626)	Data 0.001 (0.004)	Loss 1.7948 (1.7374)	Prec@1 51.000 (53.816)	Prec@5 81.500 (82.967)
Epoch: [65][3090/9018]	Time 0.620 (0.626)	Data 0.014 (0.004)	Loss 1.8087 (1.7374)	Prec@1 50.500 (53.818)	Prec@5 84.000 (82.971)
Epoch: [65][3100/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.7842 (1.7375)	Prec@1 49.500 (53.813)	Prec@5 81.500 (82.970)
Epoch: [65][3110/9018]	Time 0.652 (0.626)	Data 0.001 (0.004)	Loss 1.7947 (1.7375)	Prec@1 53.500 (53.812)	Prec@5 80.000 (82.970)
Epoch: [65][3120/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.6527 (1.7374)	Prec@1 57.500 (53.817)	Prec@5 83.500 (82.973)
Epoch: [65][3130/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.6913 (1.7373)	Prec@1 54.000 (53.816)	Prec@5 82.500 (82.975)
Epoch: [65][3140/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.6642 (1.7374)	Prec@1 54.000 (53.812)	Prec@5 83.500 (82.976)
Epoch: [65][3150/9018]	Time 0.621 (0.626)	Data 0.017 (0.004)	Loss 1.5376 (1.7373)	Prec@1 59.500 (53.815)	Prec@5 85.500 (82.977)
Epoch: [65][3160/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.7731 (1.7372)	Prec@1 52.000 (53.814)	Prec@5 82.500 (82.980)
Epoch: [65][3170/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.6605 (1.7373)	Prec@1 56.000 (53.812)	Prec@5 81.000 (82.976)
Epoch: [65][3180/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.7142 (1.7372)	Prec@1 58.500 (53.815)	Prec@5 83.500 (82.979)
Epoch: [65][3190/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.6102 (1.7371)	Prec@1 58.500 (53.818)	Prec@5 85.000 (82.982)
Epoch: [65][3200/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.7345 (1.7370)	Prec@1 58.000 (53.821)	Prec@5 84.500 (82.984)
Epoch: [65][3210/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.8921 (1.7372)	Prec@1 51.000 (53.817)	Prec@5 80.000 (82.983)
Epoch: [65][3220/9018]	Time 0.637 (0.626)	Data 0.001 (0.004)	Loss 1.8827 (1.7373)	Prec@1 49.500 (53.812)	Prec@5 79.500 (82.980)
Epoch: [65][3230/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.7205 (1.7371)	Prec@1 51.500 (53.816)	Prec@5 77.500 (82.983)
Epoch: [65][3240/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.6983 (1.7371)	Prec@1 54.000 (53.817)	Prec@5 83.000 (82.982)
Epoch: [65][3250/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.7939 (1.7371)	Prec@1 50.500 (53.817)	Prec@5 82.500 (82.982)
Epoch: [65][3260/9018]	Time 0.641 (0.626)	Data 0.009 (0.004)	Loss 1.8722 (1.7370)	Prec@1 48.000 (53.820)	Prec@5 81.000 (82.980)
Epoch: [65][3270/9018]	Time 0.618 (0.626)	Data 0.014 (0.004)	Loss 1.7921 (1.7371)	Prec@1 49.000 (53.815)	Prec@5 85.000 (82.979)
Epoch: [65][3280/9018]	Time 0.640 (0.626)	Data 0.001 (0.004)	Loss 1.8027 (1.7372)	Prec@1 49.500 (53.814)	Prec@5 83.500 (82.977)
Epoch: [65][3290/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.7105 (1.7373)	Prec@1 52.000 (53.810)	Prec@5 84.500 (82.974)
Epoch: [65][3300/9018]	Time 0.629 (0.626)	Data 0.001 (0.004)	Loss 1.9888 (1.7373)	Prec@1 46.500 (53.810)	Prec@5 76.000 (82.971)
Epoch: [65][3310/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.8525 (1.7374)	Prec@1 52.500 (53.809)	Prec@5 79.000 (82.970)
Epoch: [65][3320/9018]	Time 0.605 (0.626)	Data 0.016 (0.004)	Loss 1.8382 (1.7373)	Prec@1 50.000 (53.806)	Prec@5 80.000 (82.970)
Epoch: [65][3330/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.4192 (1.7372)	Prec@1 58.000 (53.805)	Prec@5 90.000 (82.972)
Epoch: [65][3340/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.6828 (1.7372)	Prec@1 59.000 (53.808)	Prec@5 83.000 (82.973)
Epoch: [65][3350/9018]	Time 0.601 (0.626)	Data 0.013 (0.004)	Loss 1.7291 (1.7372)	Prec@1 52.000 (53.805)	Prec@5 83.500 (82.975)
Epoch: [65][3360/9018]	Time 0.789 (0.626)	Data 0.001 (0.004)	Loss 1.5644 (1.7373)	Prec@1 56.500 (53.805)	Prec@5 86.500 (82.972)
Epoch: [65][3370/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.8838 (1.7371)	Prec@1 48.500 (53.807)	Prec@5 80.000 (82.974)
Epoch: [65][3380/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.8121 (1.7373)	Prec@1 54.500 (53.806)	Prec@5 80.500 (82.974)
Epoch: [65][3390/9018]	Time 0.655 (0.626)	Data 0.001 (0.004)	Loss 1.6204 (1.7372)	Prec@1 57.000 (53.809)	Prec@5 86.000 (82.977)
Epoch: [65][3400/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.5278 (1.7369)	Prec@1 60.500 (53.817)	Prec@5 89.500 (82.981)
Epoch: [65][3410/9018]	Time 0.759 (0.626)	Data 0.001 (0.004)	Loss 1.6772 (1.7369)	Prec@1 56.500 (53.817)	Prec@5 81.500 (82.982)
Epoch: [65][3420/9018]	Time 0.598 (0.626)	Data 0.009 (0.004)	Loss 1.6074 (1.7368)	Prec@1 57.000 (53.821)	Prec@5 84.000 (82.980)
Epoch: [65][3430/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 1.7577 (1.7367)	Prec@1 58.000 (53.821)	Prec@5 76.500 (82.977)
Epoch: [65][3440/9018]	Time 0.626 (0.626)	Data 0.001 (0.004)	Loss 1.5706 (1.7367)	Prec@1 59.000 (53.824)	Prec@5 84.000 (82.976)
Epoch: [65][3450/9018]	Time 0.603 (0.626)	Data 0.003 (0.004)	Loss 1.5234 (1.7366)	Prec@1 61.000 (53.824)	Prec@5 83.500 (82.978)
Epoch: [65][3460/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.9882 (1.7366)	Prec@1 50.500 (53.826)	Prec@5 80.500 (82.974)
Epoch: [65][3470/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.6564 (1.7366)	Prec@1 53.500 (53.826)	Prec@5 83.000 (82.974)
Epoch: [65][3480/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 1.8739 (1.7366)	Prec@1 52.500 (53.825)	Prec@5 79.000 (82.972)
Epoch: [65][3490/9018]	Time 0.631 (0.626)	Data 0.001 (0.004)	Loss 1.6225 (1.7367)	Prec@1 57.000 (53.821)	Prec@5 85.500 (82.969)
Epoch: [65][3500/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.6831 (1.7368)	Prec@1 51.500 (53.815)	Prec@5 86.000 (82.970)
Epoch: [65][3510/9018]	Time 0.613 (0.626)	Data 0.016 (0.004)	Loss 1.7429 (1.7367)	Prec@1 51.000 (53.816)	Prec@5 84.000 (82.970)
Epoch: [65][3520/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.6690 (1.7367)	Prec@1 57.500 (53.815)	Prec@5 84.000 (82.971)
Epoch: [65][3530/9018]	Time 0.628 (0.626)	Data 0.001 (0.004)	Loss 1.6023 (1.7368)	Prec@1 55.500 (53.813)	Prec@5 85.000 (82.970)
Epoch: [65][3540/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.6912 (1.7371)	Prec@1 58.500 (53.805)	Prec@5 82.500 (82.964)
Epoch: [65][3550/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.7134 (1.7373)	Prec@1 52.000 (53.800)	Prec@5 82.000 (82.957)
Epoch: [65][3560/9018]	Time 0.591 (0.626)	Data 0.001 (0.004)	Loss 1.7752 (1.7373)	Prec@1 49.500 (53.798)	Prec@5 85.000 (82.960)
Epoch: [65][3570/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 1.9040 (1.7374)	Prec@1 50.500 (53.792)	Prec@5 80.500 (82.958)
Epoch: [65][3580/9018]	Time 0.655 (0.626)	Data 0.021 (0.004)	Loss 1.5833 (1.7373)	Prec@1 57.500 (53.792)	Prec@5 87.000 (82.963)
Epoch: [65][3590/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.6600 (1.7372)	Prec@1 57.000 (53.796)	Prec@5 87.000 (82.965)
Epoch: [65][3600/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.9235 (1.7373)	Prec@1 52.000 (53.793)	Prec@5 80.000 (82.964)
Epoch: [65][3610/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.8829 (1.7373)	Prec@1 55.500 (53.793)	Prec@5 78.500 (82.963)
Epoch: [65][3620/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.8806 (1.7373)	Prec@1 54.000 (53.799)	Prec@5 81.500 (82.963)
Epoch: [65][3630/9018]	Time 0.617 (0.626)	Data 0.013 (0.004)	Loss 1.8949 (1.7371)	Prec@1 49.500 (53.801)	Prec@5 78.500 (82.966)
Epoch: [65][3640/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.5440 (1.7371)	Prec@1 62.000 (53.800)	Prec@5 84.500 (82.966)
Epoch: [65][3650/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 1.4401 (1.7370)	Prec@1 62.500 (53.803)	Prec@5 86.500 (82.969)
Epoch: [65][3660/9018]	Time 0.624 (0.626)	Data 0.017 (0.004)	Loss 1.7370 (1.7369)	Prec@1 55.500 (53.804)	Prec@5 83.500 (82.970)
Epoch: [65][3670/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 1.7198 (1.7370)	Prec@1 52.500 (53.804)	Prec@5 80.500 (82.967)
Epoch: [65][3680/9018]	Time 0.630 (0.626)	Data 0.001 (0.003)	Loss 1.6621 (1.7369)	Prec@1 53.500 (53.804)	Prec@5 83.000 (82.970)
Epoch: [65][3690/9018]	Time 0.734 (0.626)	Data 0.014 (0.004)	Loss 1.8291 (1.7371)	Prec@1 51.000 (53.798)	Prec@5 83.500 (82.968)
Epoch: [65][3700/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 1.5617 (1.7373)	Prec@1 55.500 (53.792)	Prec@5 86.500 (82.964)
Epoch: [65][3710/9018]	Time 0.606 (0.626)	Data 0.021 (0.004)	Loss 1.7328 (1.7374)	Prec@1 55.000 (53.788)	Prec@5 82.500 (82.961)
Epoch: [65][3720/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 1.6561 (1.7374)	Prec@1 56.000 (53.790)	Prec@5 81.500 (82.962)
Epoch: [65][3730/9018]	Time 0.649 (0.626)	Data 0.001 (0.004)	Loss 1.7514 (1.7373)	Prec@1 48.000 (53.793)	Prec@5 81.500 (82.964)
Epoch: [65][3740/9018]	Time 0.749 (0.626)	Data 0.001 (0.004)	Loss 1.6646 (1.7373)	Prec@1 61.000 (53.792)	Prec@5 85.500 (82.964)
Epoch: [65][3750/9018]	Time 0.603 (0.626)	Data 0.016 (0.004)	Loss 1.6748 (1.7371)	Prec@1 55.000 (53.793)	Prec@5 83.500 (82.966)
Epoch: [65][3760/9018]	Time 0.605 (0.626)	Data 0.001 (0.003)	Loss 1.6760 (1.7371)	Prec@1 57.000 (53.795)	Prec@5 86.500 (82.967)
Epoch: [65][3770/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.8099 (1.7371)	Prec@1 50.000 (53.797)	Prec@5 83.500 (82.968)
Epoch: [65][3780/9018]	Time 0.618 (0.626)	Data 0.001 (0.003)	Loss 1.7632 (1.7371)	Prec@1 51.500 (53.796)	Prec@5 84.000 (82.967)
Epoch: [65][3790/9018]	Time 0.625 (0.626)	Data 0.001 (0.003)	Loss 1.9039 (1.7371)	Prec@1 50.500 (53.798)	Prec@5 79.000 (82.965)
Epoch: [65][3800/9018]	Time 0.613 (0.626)	Data 0.001 (0.003)	Loss 1.6689 (1.7372)	Prec@1 55.000 (53.796)	Prec@5 85.000 (82.965)
Epoch: [65][3810/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.7461 (1.7373)	Prec@1 53.000 (53.793)	Prec@5 84.500 (82.961)
Epoch: [65][3820/9018]	Time 0.627 (0.626)	Data 0.001 (0.003)	Loss 1.6881 (1.7373)	Prec@1 56.000 (53.795)	Prec@5 82.500 (82.962)
Epoch: [65][3830/9018]	Time 0.602 (0.626)	Data 0.001 (0.003)	Loss 1.8756 (1.7373)	Prec@1 51.000 (53.793)	Prec@5 80.500 (82.960)
Epoch: [65][3840/9018]	Time 0.612 (0.626)	Data 0.001 (0.003)	Loss 1.6453 (1.7372)	Prec@1 55.500 (53.797)	Prec@5 84.000 (82.961)
Epoch: [65][3850/9018]	Time 0.589 (0.626)	Data 0.001 (0.003)	Loss 1.7520 (1.7373)	Prec@1 55.500 (53.798)	Prec@5 82.000 (82.961)
Epoch: [65][3860/9018]	Time 0.596 (0.626)	Data 0.001 (0.003)	Loss 1.6407 (1.7373)	Prec@1 61.000 (53.800)	Prec@5 85.500 (82.962)
Epoch: [65][3870/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.7569 (1.7374)	Prec@1 54.500 (53.799)	Prec@5 84.500 (82.960)
Epoch: [65][3880/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.7895 (1.7374)	Prec@1 53.000 (53.796)	Prec@5 80.500 (82.961)
Epoch: [65][3890/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.6982 (1.7375)	Prec@1 55.500 (53.793)	Prec@5 83.000 (82.961)
Epoch: [65][3900/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.8274 (1.7374)	Prec@1 52.000 (53.796)	Prec@5 84.000 (82.962)
Epoch: [65][3910/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.5599 (1.7373)	Prec@1 60.500 (53.800)	Prec@5 84.500 (82.962)
Epoch: [65][3920/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.7704 (1.7374)	Prec@1 53.500 (53.795)	Prec@5 82.000 (82.961)
Epoch: [65][3930/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.7968 (1.7374)	Prec@1 45.500 (53.793)	Prec@5 82.500 (82.960)
Epoch: [65][3940/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.7565 (1.7375)	Prec@1 54.000 (53.791)	Prec@5 85.000 (82.958)
Epoch: [65][3950/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.8626 (1.7376)	Prec@1 52.000 (53.791)	Prec@5 80.500 (82.958)
Epoch: [65][3960/9018]	Time 0.600 (0.625)	Data 0.016 (0.003)	Loss 1.8595 (1.7377)	Prec@1 52.500 (53.790)	Prec@5 78.500 (82.954)
Epoch: [65][3970/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.8892 (1.7377)	Prec@1 49.000 (53.790)	Prec@5 81.500 (82.955)
Epoch: [65][3980/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.5310 (1.7377)	Prec@1 58.000 (53.792)	Prec@5 83.000 (82.955)
Epoch: [65][3990/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.7949 (1.7378)	Prec@1 58.000 (53.788)	Prec@5 83.500 (82.957)
Epoch: [65][4000/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.7370 (1.7376)	Prec@1 53.000 (53.792)	Prec@5 85.000 (82.960)
Epoch: [65][4010/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.8001 (1.7376)	Prec@1 55.000 (53.790)	Prec@5 83.500 (82.959)
Epoch: [65][4020/9018]	Time 0.753 (0.625)	Data 0.001 (0.003)	Loss 1.7554 (1.7374)	Prec@1 56.000 (53.797)	Prec@5 84.000 (82.963)
Epoch: [65][4030/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.9267 (1.7374)	Prec@1 51.000 (53.795)	Prec@5 79.000 (82.967)
Epoch: [65][4040/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.8478 (1.7375)	Prec@1 55.500 (53.793)	Prec@5 82.500 (82.964)
Epoch: [65][4050/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.8535 (1.7376)	Prec@1 48.500 (53.789)	Prec@5 83.000 (82.965)
Epoch: [65][4060/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.5844 (1.7375)	Prec@1 61.000 (53.796)	Prec@5 87.000 (82.967)
Epoch: [65][4070/9018]	Time 0.758 (0.625)	Data 0.001 (0.003)	Loss 1.7473 (1.7376)	Prec@1 53.000 (53.792)	Prec@5 83.000 (82.965)
Epoch: [65][4080/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.7825 (1.7377)	Prec@1 55.500 (53.794)	Prec@5 81.500 (82.965)
Epoch: [65][4090/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.8922 (1.7378)	Prec@1 50.500 (53.791)	Prec@5 77.500 (82.961)
Epoch: [65][4100/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.7715 (1.7378)	Prec@1 55.000 (53.791)	Prec@5 82.000 (82.960)
Epoch: [65][4110/9018]	Time 0.643 (0.625)	Data 0.001 (0.003)	Loss 1.7865 (1.7378)	Prec@1 54.500 (53.793)	Prec@5 84.000 (82.961)
Epoch: [65][4120/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.6722 (1.7377)	Prec@1 57.500 (53.793)	Prec@5 85.500 (82.961)
Epoch: [65][4130/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.6742 (1.7376)	Prec@1 54.000 (53.795)	Prec@5 83.000 (82.964)
Epoch: [65][4140/9018]	Time 0.607 (0.625)	Data 0.003 (0.003)	Loss 1.7391 (1.7376)	Prec@1 56.500 (53.794)	Prec@5 83.500 (82.966)
Epoch: [65][4150/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.7373 (1.7376)	Prec@1 55.000 (53.795)	Prec@5 83.000 (82.966)
Epoch: [65][4160/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.7277 (1.7376)	Prec@1 55.500 (53.795)	Prec@5 83.000 (82.965)
Epoch: [65][4170/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.6043 (1.7375)	Prec@1 57.500 (53.798)	Prec@5 85.500 (82.965)
Epoch: [65][4180/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.5031 (1.7376)	Prec@1 59.000 (53.796)	Prec@5 84.500 (82.964)
Epoch: [65][4190/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.7634 (1.7377)	Prec@1 49.000 (53.794)	Prec@5 81.500 (82.963)
Epoch: [65][4200/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.9042 (1.7379)	Prec@1 50.000 (53.787)	Prec@5 82.000 (82.958)
Epoch: [65][4210/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.6301 (1.7379)	Prec@1 53.500 (53.787)	Prec@5 86.500 (82.959)
Epoch: [65][4220/9018]	Time 0.675 (0.625)	Data 0.001 (0.003)	Loss 1.9079 (1.7379)	Prec@1 51.500 (53.786)	Prec@5 84.500 (82.960)
Epoch: [65][4230/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.5324 (1.7378)	Prec@1 54.500 (53.784)	Prec@5 87.000 (82.959)
Epoch: [65][4240/9018]	Time 0.616 (0.625)	Data 0.015 (0.003)	Loss 1.9362 (1.7379)	Prec@1 48.500 (53.784)	Prec@5 78.500 (82.957)
Epoch: [65][4250/9018]	Time 0.598 (0.625)	Data 0.015 (0.003)	Loss 1.8998 (1.7380)	Prec@1 48.500 (53.779)	Prec@5 81.500 (82.956)
Epoch: [65][4260/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.6898 (1.7380)	Prec@1 57.500 (53.783)	Prec@5 85.000 (82.956)
Epoch: [65][4270/9018]	Time 0.612 (0.625)	Data 0.014 (0.003)	Loss 1.7353 (1.7380)	Prec@1 51.500 (53.778)	Prec@5 86.500 (82.956)
Epoch: [65][4280/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.9277 (1.7381)	Prec@1 54.500 (53.779)	Prec@5 74.500 (82.954)
Epoch: [65][4290/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.8953 (1.7380)	Prec@1 53.000 (53.780)	Prec@5 81.000 (82.954)
Epoch: [65][4300/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.6733 (1.7380)	Prec@1 56.000 (53.779)	Prec@5 85.000 (82.953)
Epoch: [65][4310/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.7168 (1.7381)	Prec@1 56.000 (53.779)	Prec@5 83.500 (82.952)
Epoch: [65][4320/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.7209 (1.7379)	Prec@1 53.500 (53.783)	Prec@5 83.000 (82.953)
Epoch: [65][4330/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.7202 (1.7379)	Prec@1 57.500 (53.786)	Prec@5 83.500 (82.954)
Epoch: [65][4340/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.6482 (1.7378)	Prec@1 56.000 (53.789)	Prec@5 85.500 (82.955)
Epoch: [65][4350/9018]	Time 0.749 (0.625)	Data 0.001 (0.003)	Loss 1.9045 (1.7378)	Prec@1 51.000 (53.790)	Prec@5 82.500 (82.954)
Epoch: [65][4360/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.8298 (1.7377)	Prec@1 50.000 (53.791)	Prec@5 82.000 (82.957)
Epoch: [65][4370/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.7033 (1.7378)	Prec@1 52.000 (53.789)	Prec@5 82.500 (82.956)
Epoch: [65][4380/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.7325 (1.7378)	Prec@1 50.500 (53.788)	Prec@5 84.500 (82.958)
Epoch: [65][4390/9018]	Time 0.623 (0.625)	Data 0.008 (0.003)	Loss 1.8794 (1.7378)	Prec@1 51.500 (53.786)	Prec@5 82.000 (82.958)
Epoch: [65][4400/9018]	Time 0.772 (0.625)	Data 0.001 (0.003)	Loss 1.4817 (1.7379)	Prec@1 58.500 (53.785)	Prec@5 87.500 (82.958)
Epoch: [65][4410/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.8578 (1.7380)	Prec@1 51.000 (53.784)	Prec@5 81.500 (82.956)
Epoch: [65][4420/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.7368 (1.7382)	Prec@1 54.500 (53.779)	Prec@5 86.000 (82.955)
Epoch: [65][4430/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.6053 (1.7381)	Prec@1 57.000 (53.780)	Prec@5 85.000 (82.958)
Epoch: [65][4440/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.6116 (1.7379)	Prec@1 54.500 (53.784)	Prec@5 83.500 (82.958)
Epoch: [65][4450/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.5980 (1.7381)	Prec@1 61.000 (53.780)	Prec@5 84.500 (82.955)
Epoch: [65][4460/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.6554 (1.7380)	Prec@1 54.000 (53.781)	Prec@5 84.500 (82.955)
Epoch: [65][4470/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.7474 (1.7380)	Prec@1 51.000 (53.782)	Prec@5 83.500 (82.956)
Epoch: [65][4480/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.8633 (1.7380)	Prec@1 49.000 (53.783)	Prec@5 82.000 (82.957)
Epoch: [65][4490/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.7320 (1.7381)	Prec@1 54.000 (53.779)	Prec@5 84.000 (82.956)
Epoch: [65][4500/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.8958 (1.7381)	Prec@1 52.000 (53.780)	Prec@5 82.000 (82.955)
Epoch: [65][4510/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.8103 (1.7381)	Prec@1 52.500 (53.781)	Prec@5 81.500 (82.955)
Epoch: [65][4520/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.7445 (1.7380)	Prec@1 56.500 (53.783)	Prec@5 85.500 (82.957)
Epoch: [65][4530/9018]	Time 0.633 (0.625)	Data 0.016 (0.003)	Loss 1.7326 (1.7380)	Prec@1 56.000 (53.783)	Prec@5 86.500 (82.959)
Epoch: [65][4540/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.5133 (1.7379)	Prec@1 57.500 (53.786)	Prec@5 86.500 (82.960)
Epoch: [65][4550/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.5810 (1.7378)	Prec@1 54.500 (53.788)	Prec@5 88.000 (82.962)
Epoch: [65][4560/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.9901 (1.7378)	Prec@1 56.000 (53.791)	Prec@5 77.500 (82.961)
Epoch: [65][4570/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.6278 (1.7378)	Prec@1 54.000 (53.790)	Prec@5 87.500 (82.961)
Epoch: [65][4580/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 2.0458 (1.7379)	Prec@1 46.000 (53.789)	Prec@5 77.000 (82.958)
Epoch: [65][4590/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.6125 (1.7379)	Prec@1 55.000 (53.786)	Prec@5 87.500 (82.959)
Epoch: [65][4600/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.5033 (1.7379)	Prec@1 57.000 (53.787)	Prec@5 86.000 (82.959)
Epoch: [65][4610/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.8211 (1.7379)	Prec@1 54.500 (53.787)	Prec@5 84.000 (82.958)
Epoch: [65][4620/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8071 (1.7378)	Prec@1 46.500 (53.786)	Prec@5 85.500 (82.960)
Epoch: [65][4630/9018]	Time 0.611 (0.625)	Data 0.016 (0.003)	Loss 1.9382 (1.7378)	Prec@1 48.500 (53.787)	Prec@5 77.500 (82.960)
Epoch: [65][4640/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.5025 (1.7378)	Prec@1 58.500 (53.788)	Prec@5 88.000 (82.960)
Epoch: [65][4650/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.5579 (1.7378)	Prec@1 58.500 (53.787)	Prec@5 87.000 (82.960)
Epoch: [65][4660/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.5701 (1.7377)	Prec@1 58.500 (53.791)	Prec@5 87.500 (82.959)
Epoch: [65][4670/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 2.0424 (1.7377)	Prec@1 48.000 (53.789)	Prec@5 77.500 (82.959)
Epoch: [65][4680/9018]	Time 0.833 (0.624)	Data 0.001 (0.003)	Loss 1.7806 (1.7376)	Prec@1 51.500 (53.791)	Prec@5 82.500 (82.961)
Epoch: [65][4690/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.9523 (1.7375)	Prec@1 48.500 (53.792)	Prec@5 81.000 (82.963)
Epoch: [65][4700/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.9674 (1.7375)	Prec@1 48.500 (53.793)	Prec@5 80.000 (82.963)
Epoch: [65][4710/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.7805 (1.7375)	Prec@1 54.500 (53.790)	Prec@5 84.000 (82.965)
Epoch: [65][4720/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.7181 (1.7376)	Prec@1 58.000 (53.790)	Prec@5 84.500 (82.964)
Epoch: [65][4730/9018]	Time 0.757 (0.624)	Data 0.001 (0.003)	Loss 1.6065 (1.7376)	Prec@1 58.500 (53.793)	Prec@5 82.000 (82.963)
Epoch: [65][4740/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.7322 (1.7376)	Prec@1 51.000 (53.795)	Prec@5 86.500 (82.964)
Epoch: [65][4750/9018]	Time 0.589 (0.624)	Data 0.001 (0.003)	Loss 1.7124 (1.7374)	Prec@1 53.000 (53.800)	Prec@5 83.000 (82.966)
Epoch: [65][4760/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.6757 (1.7374)	Prec@1 54.000 (53.798)	Prec@5 87.000 (82.966)
Epoch: [65][4770/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.9052 (1.7374)	Prec@1 50.000 (53.802)	Prec@5 79.500 (82.966)
Epoch: [65][4780/9018]	Time 0.612 (0.624)	Data 0.007 (0.003)	Loss 1.9003 (1.7374)	Prec@1 56.500 (53.803)	Prec@5 80.000 (82.966)
Epoch: [65][4790/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.8120 (1.7374)	Prec@1 53.000 (53.804)	Prec@5 76.500 (82.966)
Epoch: [65][4800/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.8053 (1.7375)	Prec@1 55.000 (53.805)	Prec@5 80.500 (82.966)
Epoch: [65][4810/9018]	Time 0.622 (0.624)	Data 0.004 (0.003)	Loss 1.5762 (1.7375)	Prec@1 59.000 (53.808)	Prec@5 87.500 (82.965)
Epoch: [65][4820/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.8573 (1.7374)	Prec@1 48.000 (53.809)	Prec@5 82.000 (82.968)
Epoch: [65][4830/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.6196 (1.7373)	Prec@1 56.000 (53.809)	Prec@5 85.500 (82.969)
Epoch: [65][4840/9018]	Time 0.589 (0.624)	Data 0.001 (0.003)	Loss 2.0263 (1.7374)	Prec@1 47.500 (53.806)	Prec@5 79.000 (82.967)
Epoch: [65][4850/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.5099 (1.7375)	Prec@1 63.000 (53.803)	Prec@5 88.500 (82.965)
Epoch: [65][4860/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.6597 (1.7374)	Prec@1 58.000 (53.807)	Prec@5 85.000 (82.969)
Epoch: [65][4870/9018]	Time 0.614 (0.624)	Data 0.022 (0.003)	Loss 1.7777 (1.7374)	Prec@1 56.000 (53.807)	Prec@5 85.000 (82.970)
Epoch: [65][4880/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.6390 (1.7374)	Prec@1 53.500 (53.803)	Prec@5 82.500 (82.967)
Epoch: [65][4890/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.6544 (1.7374)	Prec@1 53.500 (53.802)	Prec@5 84.000 (82.967)
Epoch: [65][4900/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.5800 (1.7373)	Prec@1 58.000 (53.806)	Prec@5 85.000 (82.969)
Epoch: [65][4910/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.8285 (1.7374)	Prec@1 52.500 (53.804)	Prec@5 77.500 (82.968)
Epoch: [65][4920/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.4744 (1.7374)	Prec@1 56.500 (53.805)	Prec@5 89.500 (82.968)
Epoch: [65][4930/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.7271 (1.7373)	Prec@1 56.500 (53.808)	Prec@5 83.000 (82.969)
Epoch: [65][4940/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.8059 (1.7373)	Prec@1 49.500 (53.807)	Prec@5 83.000 (82.968)
Epoch: [65][4950/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.7812 (1.7372)	Prec@1 53.000 (53.809)	Prec@5 85.000 (82.969)
Epoch: [65][4960/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.8241 (1.7372)	Prec@1 51.000 (53.807)	Prec@5 83.000 (82.970)
Epoch: [65][4970/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.8192 (1.7372)	Prec@1 51.000 (53.805)	Prec@5 80.000 (82.970)
Epoch: [65][4980/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.8247 (1.7373)	Prec@1 52.000 (53.804)	Prec@5 79.500 (82.968)
Epoch: [65][4990/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.5264 (1.7373)	Prec@1 55.500 (53.805)	Prec@5 88.000 (82.968)
Epoch: [65][5000/9018]	Time 0.608 (0.624)	Data 0.017 (0.003)	Loss 1.8461 (1.7374)	Prec@1 48.000 (53.802)	Prec@5 80.000 (82.967)
Epoch: [65][5010/9018]	Time 0.746 (0.624)	Data 0.001 (0.003)	Loss 1.8900 (1.7375)	Prec@1 52.000 (53.801)	Prec@5 78.000 (82.966)
Epoch: [65][5020/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.9615 (1.7375)	Prec@1 50.000 (53.802)	Prec@5 79.000 (82.966)
Epoch: [65][5030/9018]	Time 0.619 (0.624)	Data 0.016 (0.003)	Loss 1.8853 (1.7376)	Prec@1 50.500 (53.801)	Prec@5 81.500 (82.964)
Epoch: [65][5040/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.6661 (1.7376)	Prec@1 53.000 (53.798)	Prec@5 84.000 (82.963)
Epoch: [65][5050/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.8037 (1.7376)	Prec@1 53.000 (53.797)	Prec@5 79.500 (82.964)
Epoch: [65][5060/9018]	Time 0.760 (0.624)	Data 0.001 (0.003)	Loss 1.6655 (1.7375)	Prec@1 55.500 (53.798)	Prec@5 83.000 (82.965)
Epoch: [65][5070/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.5985 (1.7375)	Prec@1 58.500 (53.795)	Prec@5 83.000 (82.965)
Epoch: [65][5080/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.8474 (1.7374)	Prec@1 50.500 (53.796)	Prec@5 83.500 (82.965)
Epoch: [65][5090/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6458 (1.7373)	Prec@1 58.000 (53.799)	Prec@5 83.500 (82.967)
Epoch: [65][5100/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.6242 (1.7373)	Prec@1 59.000 (53.797)	Prec@5 83.000 (82.969)
Epoch: [65][5110/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.5861 (1.7372)	Prec@1 59.500 (53.800)	Prec@5 85.500 (82.972)
Epoch: [65][5120/9018]	Time 0.633 (0.624)	Data 0.001 (0.003)	Loss 1.7323 (1.7371)	Prec@1 54.500 (53.802)	Prec@5 83.500 (82.974)
Epoch: [65][5130/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.6931 (1.7372)	Prec@1 51.000 (53.799)	Prec@5 85.000 (82.972)
Epoch: [65][5140/9018]	Time 0.617 (0.624)	Data 0.003 (0.003)	Loss 1.7574 (1.7371)	Prec@1 50.500 (53.801)	Prec@5 82.500 (82.974)
Epoch: [65][5150/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.5016 (1.7370)	Prec@1 56.500 (53.805)	Prec@5 85.500 (82.977)
Epoch: [65][5160/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.8255 (1.7369)	Prec@1 51.500 (53.803)	Prec@5 83.500 (82.980)
Epoch: [65][5170/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.8444 (1.7369)	Prec@1 49.500 (53.804)	Prec@5 86.000 (82.980)
Epoch: [65][5180/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.7722 (1.7370)	Prec@1 49.500 (53.800)	Prec@5 79.000 (82.978)
Epoch: [65][5190/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.6030 (1.7369)	Prec@1 57.000 (53.803)	Prec@5 88.000 (82.981)
Epoch: [65][5200/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.6082 (1.7369)	Prec@1 55.500 (53.803)	Prec@5 86.000 (82.982)
Epoch: [65][5210/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.7841 (1.7369)	Prec@1 51.000 (53.799)	Prec@5 80.500 (82.981)
Epoch: [65][5220/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.5646 (1.7368)	Prec@1 58.500 (53.800)	Prec@5 86.500 (82.984)
Epoch: [65][5230/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.9673 (1.7367)	Prec@1 52.000 (53.801)	Prec@5 73.000 (82.985)
Epoch: [65][5240/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.6197 (1.7367)	Prec@1 58.000 (53.801)	Prec@5 84.000 (82.983)
Epoch: [65][5250/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.7191 (1.7368)	Prec@1 52.000 (53.801)	Prec@5 85.500 (82.981)
Epoch: [65][5260/9018]	Time 0.632 (0.624)	Data 0.001 (0.003)	Loss 1.5966 (1.7367)	Prec@1 56.500 (53.803)	Prec@5 85.000 (82.981)
Epoch: [65][5270/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.7749 (1.7367)	Prec@1 54.000 (53.804)	Prec@5 81.000 (82.981)
Epoch: [65][5280/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.8375 (1.7365)	Prec@1 54.000 (53.809)	Prec@5 81.000 (82.982)
Epoch: [65][5290/9018]	Time 0.613 (0.624)	Data 0.018 (0.003)	Loss 1.6468 (1.7365)	Prec@1 57.000 (53.809)	Prec@5 83.500 (82.982)
Epoch: [65][5300/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 1.7618 (1.7365)	Prec@1 55.500 (53.809)	Prec@5 82.500 (82.983)
Epoch: [65][5310/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.8237 (1.7366)	Prec@1 52.500 (53.809)	Prec@5 82.500 (82.981)
Epoch: [65][5320/9018]	Time 0.635 (0.624)	Data 0.001 (0.003)	Loss 1.9253 (1.7366)	Prec@1 54.000 (53.809)	Prec@5 81.000 (82.979)
Epoch: [65][5330/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.8211 (1.7366)	Prec@1 55.500 (53.809)	Prec@5 81.500 (82.978)
Epoch: [65][5340/9018]	Time 0.807 (0.624)	Data 0.001 (0.003)	Loss 1.6138 (1.7365)	Prec@1 59.500 (53.813)	Prec@5 85.500 (82.980)
Epoch: [65][5350/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.9153 (1.7364)	Prec@1 52.000 (53.814)	Prec@5 80.000 (82.980)
Epoch: [65][5360/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.5111 (1.7364)	Prec@1 56.500 (53.814)	Prec@5 85.000 (82.980)
Epoch: [65][5370/9018]	Time 0.612 (0.624)	Data 0.017 (0.003)	Loss 1.7326 (1.7364)	Prec@1 55.000 (53.816)	Prec@5 81.500 (82.980)
Epoch: [65][5380/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.6710 (1.7365)	Prec@1 56.500 (53.816)	Prec@5 83.000 (82.980)
Epoch: [65][5390/9018]	Time 0.784 (0.624)	Data 0.001 (0.003)	Loss 2.0580 (1.7365)	Prec@1 45.500 (53.817)	Prec@5 77.500 (82.981)
Epoch: [65][5400/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.7672 (1.7366)	Prec@1 55.500 (53.815)	Prec@5 83.500 (82.978)
Epoch: [65][5410/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.7405 (1.7366)	Prec@1 53.500 (53.813)	Prec@5 81.500 (82.978)
Epoch: [65][5420/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.5685 (1.7367)	Prec@1 60.000 (53.813)	Prec@5 86.000 (82.975)
Epoch: [65][5430/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.6849 (1.7367)	Prec@1 53.000 (53.814)	Prec@5 82.000 (82.975)
Epoch: [65][5440/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6035 (1.7366)	Prec@1 58.000 (53.814)	Prec@5 82.500 (82.974)
Epoch: [65][5450/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.7965 (1.7365)	Prec@1 52.500 (53.816)	Prec@5 82.500 (82.978)
Epoch: [65][5460/9018]	Time 0.607 (0.624)	Data 0.016 (0.003)	Loss 1.8960 (1.7365)	Prec@1 52.500 (53.816)	Prec@5 82.500 (82.979)
Epoch: [65][5470/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.5980 (1.7365)	Prec@1 60.500 (53.818)	Prec@5 88.500 (82.980)
Epoch: [65][5480/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.6170 (1.7365)	Prec@1 53.000 (53.817)	Prec@5 84.500 (82.979)
Epoch: [65][5490/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.8885 (1.7365)	Prec@1 47.000 (53.816)	Prec@5 83.000 (82.977)
Epoch: [65][5500/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.8164 (1.7367)	Prec@1 51.000 (53.810)	Prec@5 80.500 (82.974)
Epoch: [65][5510/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.6367 (1.7366)	Prec@1 53.500 (53.811)	Prec@5 86.500 (82.978)
Epoch: [65][5520/9018]	Time 0.628 (0.624)	Data 0.016 (0.003)	Loss 1.8644 (1.7366)	Prec@1 50.500 (53.806)	Prec@5 81.000 (82.977)
Epoch: [65][5530/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.6989 (1.7367)	Prec@1 53.000 (53.804)	Prec@5 87.000 (82.978)
Epoch: [65][5540/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.7119 (1.7366)	Prec@1 53.500 (53.803)	Prec@5 85.500 (82.979)
Epoch: [65][5550/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.7000 (1.7365)	Prec@1 55.000 (53.804)	Prec@5 81.000 (82.980)
Epoch: [65][5560/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.6065 (1.7365)	Prec@1 59.000 (53.805)	Prec@5 83.500 (82.979)
Epoch: [65][5570/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.9287 (1.7365)	Prec@1 50.000 (53.802)	Prec@5 79.000 (82.979)
Epoch: [65][5580/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.9144 (1.7365)	Prec@1 51.500 (53.802)	Prec@5 80.500 (82.980)
Epoch: [65][5590/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.7832 (1.7364)	Prec@1 50.000 (53.802)	Prec@5 81.000 (82.981)
Epoch: [65][5600/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.9081 (1.7365)	Prec@1 45.500 (53.799)	Prec@5 81.000 (82.981)
Epoch: [65][5610/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.5937 (1.7365)	Prec@1 58.000 (53.800)	Prec@5 87.000 (82.980)
Epoch: [65][5620/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.7162 (1.7366)	Prec@1 58.000 (53.800)	Prec@5 81.500 (82.980)
Epoch: [65][5630/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.7435 (1.7366)	Prec@1 51.500 (53.799)	Prec@5 83.000 (82.979)
Epoch: [65][5640/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.6860 (1.7366)	Prec@1 57.500 (53.800)	Prec@5 80.000 (82.979)
Epoch: [65][5650/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.7116 (1.7367)	Prec@1 59.500 (53.799)	Prec@5 81.500 (82.976)
Epoch: [65][5660/9018]	Time 0.632 (0.624)	Data 0.006 (0.003)	Loss 1.7280 (1.7367)	Prec@1 53.500 (53.798)	Prec@5 84.000 (82.976)
Epoch: [65][5670/9018]	Time 0.783 (0.624)	Data 0.001 (0.003)	Loss 1.5789 (1.7367)	Prec@1 54.500 (53.796)	Prec@5 84.500 (82.975)
Epoch: [65][5680/9018]	Time 0.593 (0.624)	Data 0.013 (0.003)	Loss 1.8746 (1.7368)	Prec@1 54.000 (53.795)	Prec@5 78.500 (82.974)
Epoch: [65][5690/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.9708 (1.7367)	Prec@1 53.500 (53.796)	Prec@5 79.500 (82.973)
Epoch: [65][5700/9018]	Time 0.616 (0.624)	Data 0.005 (0.003)	Loss 1.9282 (1.7368)	Prec@1 50.500 (53.792)	Prec@5 79.500 (82.971)
Epoch: [65][5710/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.8173 (1.7369)	Prec@1 52.500 (53.790)	Prec@5 79.000 (82.971)
Epoch: [65][5720/9018]	Time 0.764 (0.624)	Data 0.001 (0.003)	Loss 1.8508 (1.7369)	Prec@1 54.000 (53.791)	Prec@5 79.500 (82.974)
Epoch: [65][5730/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.7636 (1.7369)	Prec@1 54.000 (53.790)	Prec@5 81.500 (82.973)
Epoch: [65][5740/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.7940 (1.7369)	Prec@1 54.000 (53.791)	Prec@5 81.500 (82.973)
Epoch: [65][5750/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.8396 (1.7370)	Prec@1 58.000 (53.794)	Prec@5 80.500 (82.971)
Epoch: [65][5760/9018]	Time 0.607 (0.624)	Data 0.015 (0.003)	Loss 1.8218 (1.7369)	Prec@1 48.500 (53.796)	Prec@5 83.000 (82.972)
Epoch: [65][5770/9018]	Time 0.645 (0.624)	Data 0.001 (0.003)	Loss 1.4050 (1.7368)	Prec@1 59.500 (53.799)	Prec@5 90.500 (82.974)
Epoch: [65][5780/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6264 (1.7368)	Prec@1 60.500 (53.799)	Prec@5 82.500 (82.974)
Epoch: [65][5790/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8093 (1.7367)	Prec@1 52.000 (53.799)	Prec@5 85.500 (82.977)
Epoch: [65][5800/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7947 (1.7368)	Prec@1 53.000 (53.799)	Prec@5 80.000 (82.974)
Epoch: [65][5810/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7177 (1.7367)	Prec@1 55.000 (53.801)	Prec@5 84.500 (82.975)
Epoch: [65][5820/9018]	Time 0.622 (0.623)	Data 0.015 (0.003)	Loss 1.7511 (1.7368)	Prec@1 51.500 (53.799)	Prec@5 82.500 (82.973)
Epoch: [65][5830/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8345 (1.7369)	Prec@1 47.500 (53.799)	Prec@5 81.000 (82.973)
Epoch: [65][5840/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6875 (1.7369)	Prec@1 57.500 (53.798)	Prec@5 83.000 (82.972)
Epoch: [65][5850/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.5723 (1.7368)	Prec@1 55.500 (53.799)	Prec@5 85.500 (82.976)
Epoch: [65][5860/9018]	Time 0.603 (0.623)	Data 0.016 (0.003)	Loss 2.0071 (1.7369)	Prec@1 47.000 (53.799)	Prec@5 79.500 (82.976)
Epoch: [65][5870/9018]	Time 0.617 (0.623)	Data 0.014 (0.003)	Loss 1.5937 (1.7368)	Prec@1 55.000 (53.799)	Prec@5 86.500 (82.976)
Epoch: [65][5880/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6185 (1.7369)	Prec@1 53.500 (53.796)	Prec@5 84.000 (82.974)
Epoch: [65][5890/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.8955 (1.7370)	Prec@1 56.500 (53.798)	Prec@5 80.000 (82.974)
Epoch: [65][5900/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7317 (1.7369)	Prec@1 54.000 (53.800)	Prec@5 82.000 (82.974)
Epoch: [65][5910/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.5459 (1.7368)	Prec@1 63.500 (53.802)	Prec@5 84.500 (82.976)
Epoch: [65][5920/9018]	Time 0.634 (0.623)	Data 0.015 (0.003)	Loss 1.8997 (1.7367)	Prec@1 49.000 (53.801)	Prec@5 81.000 (82.976)
Epoch: [65][5930/9018]	Time 0.614 (0.623)	Data 0.007 (0.003)	Loss 1.4211 (1.7368)	Prec@1 60.500 (53.799)	Prec@5 88.500 (82.976)
Epoch: [65][5940/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8901 (1.7368)	Prec@1 48.500 (53.799)	Prec@5 81.000 (82.977)
Epoch: [65][5950/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.9352 (1.7369)	Prec@1 53.000 (53.797)	Prec@5 81.500 (82.975)
Epoch: [65][5960/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.7636 (1.7368)	Prec@1 55.500 (53.799)	Prec@5 82.000 (82.975)
Epoch: [65][5970/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7741 (1.7368)	Prec@1 54.500 (53.801)	Prec@5 80.500 (82.975)
Epoch: [65][5980/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7265 (1.7368)	Prec@1 58.500 (53.800)	Prec@5 84.500 (82.974)
Epoch: [65][5990/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7282 (1.7369)	Prec@1 51.500 (53.797)	Prec@5 83.000 (82.974)
Epoch: [65][6000/9018]	Time 0.776 (0.623)	Data 0.014 (0.003)	Loss 1.8400 (1.7369)	Prec@1 54.500 (53.798)	Prec@5 79.000 (82.973)
Epoch: [65][6010/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7314 (1.7370)	Prec@1 53.500 (53.796)	Prec@5 84.000 (82.971)
Epoch: [65][6020/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7615 (1.7370)	Prec@1 54.500 (53.796)	Prec@5 80.000 (82.972)
Epoch: [65][6030/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.9186 (1.7370)	Prec@1 52.000 (53.796)	Prec@5 82.000 (82.971)
Epoch: [65][6040/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7542 (1.7370)	Prec@1 57.000 (53.796)	Prec@5 81.000 (82.971)
Epoch: [65][6050/9018]	Time 0.802 (0.623)	Data 0.001 (0.003)	Loss 1.8124 (1.7371)	Prec@1 52.500 (53.793)	Prec@5 81.500 (82.969)
Epoch: [65][6060/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7382 (1.7370)	Prec@1 51.000 (53.793)	Prec@5 83.500 (82.972)
Epoch: [65][6070/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.9109 (1.7372)	Prec@1 49.000 (53.792)	Prec@5 80.000 (82.969)
Epoch: [65][6080/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8970 (1.7372)	Prec@1 53.000 (53.791)	Prec@5 78.000 (82.968)
Epoch: [65][6090/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.9419 (1.7371)	Prec@1 49.000 (53.792)	Prec@5 81.000 (82.968)
Epoch: [65][6100/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7885 (1.7371)	Prec@1 53.500 (53.793)	Prec@5 81.000 (82.968)
Epoch: [65][6110/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.5369 (1.7371)	Prec@1 61.000 (53.793)	Prec@5 83.500 (82.967)
Epoch: [65][6120/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8381 (1.7372)	Prec@1 52.500 (53.792)	Prec@5 82.000 (82.966)
Epoch: [65][6130/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7958 (1.7372)	Prec@1 55.500 (53.792)	Prec@5 83.000 (82.967)
Epoch: [65][6140/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7838 (1.7372)	Prec@1 53.000 (53.792)	Prec@5 80.500 (82.968)
Epoch: [65][6150/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7279 (1.7372)	Prec@1 56.000 (53.792)	Prec@5 81.000 (82.967)
Epoch: [65][6160/9018]	Time 0.610 (0.623)	Data 0.002 (0.003)	Loss 1.7372 (1.7372)	Prec@1 54.000 (53.794)	Prec@5 84.000 (82.968)
Epoch: [65][6170/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7948 (1.7373)	Prec@1 51.500 (53.790)	Prec@5 83.500 (82.966)
Epoch: [65][6180/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6770 (1.7373)	Prec@1 54.000 (53.789)	Prec@5 83.000 (82.965)
Epoch: [65][6190/9018]	Time 0.623 (0.623)	Data 0.017 (0.003)	Loss 1.6799 (1.7373)	Prec@1 52.500 (53.789)	Prec@5 83.000 (82.963)
Epoch: [65][6200/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.8892 (1.7373)	Prec@1 50.000 (53.790)	Prec@5 81.500 (82.963)
Epoch: [65][6210/9018]	Time 0.610 (0.623)	Data 0.002 (0.003)	Loss 1.6705 (1.7373)	Prec@1 58.000 (53.792)	Prec@5 86.000 (82.964)
Epoch: [65][6220/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6013 (1.7373)	Prec@1 61.000 (53.790)	Prec@5 84.500 (82.963)
Epoch: [65][6230/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.9616 (1.7374)	Prec@1 50.500 (53.789)	Prec@5 80.500 (82.961)
Epoch: [65][6240/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.7322 (1.7374)	Prec@1 56.500 (53.790)	Prec@5 84.000 (82.960)
Epoch: [65][6250/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8354 (1.7374)	Prec@1 55.000 (53.792)	Prec@5 80.000 (82.960)
Epoch: [65][6260/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6551 (1.7374)	Prec@1 55.500 (53.792)	Prec@5 83.500 (82.960)
Epoch: [65][6270/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8714 (1.7374)	Prec@1 54.000 (53.796)	Prec@5 81.500 (82.960)
Epoch: [65][6280/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7266 (1.7373)	Prec@1 58.000 (53.795)	Prec@5 83.500 (82.962)
Epoch: [65][6290/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6308 (1.7373)	Prec@1 58.000 (53.795)	Prec@5 82.500 (82.962)
Epoch: [65][6300/9018]	Time 0.622 (0.623)	Data 0.006 (0.003)	Loss 1.8664 (1.7374)	Prec@1 52.000 (53.794)	Prec@5 80.000 (82.963)
Epoch: [65][6310/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6721 (1.7375)	Prec@1 53.500 (53.793)	Prec@5 83.000 (82.960)
Epoch: [65][6320/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.6782 (1.7375)	Prec@1 56.500 (53.790)	Prec@5 87.500 (82.959)
Epoch: [65][6330/9018]	Time 0.734 (0.623)	Data 0.001 (0.003)	Loss 1.7465 (1.7376)	Prec@1 53.000 (53.790)	Prec@5 83.000 (82.958)
Epoch: [65][6340/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 2.0464 (1.7376)	Prec@1 44.500 (53.791)	Prec@5 77.000 (82.958)
Epoch: [65][6350/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.5653 (1.7376)	Prec@1 59.000 (53.789)	Prec@5 84.500 (82.958)
Epoch: [65][6360/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6757 (1.7375)	Prec@1 55.000 (53.790)	Prec@5 83.500 (82.958)
Epoch: [65][6370/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6899 (1.7374)	Prec@1 54.000 (53.791)	Prec@5 84.500 (82.962)
Epoch: [65][6380/9018]	Time 0.753 (0.623)	Data 0.001 (0.003)	Loss 1.7800 (1.7374)	Prec@1 54.500 (53.794)	Prec@5 81.000 (82.962)
Epoch: [65][6390/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8611 (1.7375)	Prec@1 46.000 (53.792)	Prec@5 77.500 (82.960)
Epoch: [65][6400/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7166 (1.7375)	Prec@1 53.500 (53.790)	Prec@5 82.500 (82.960)
Epoch: [65][6410/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7378 (1.7375)	Prec@1 52.000 (53.790)	Prec@5 84.500 (82.961)
Epoch: [65][6420/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7085 (1.7375)	Prec@1 53.000 (53.789)	Prec@5 82.000 (82.963)
Epoch: [65][6430/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7143 (1.7375)	Prec@1 55.500 (53.789)	Prec@5 82.500 (82.963)
Epoch: [65][6440/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8848 (1.7375)	Prec@1 52.500 (53.790)	Prec@5 78.000 (82.961)
Epoch: [65][6450/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6032 (1.7374)	Prec@1 54.500 (53.793)	Prec@5 86.000 (82.962)
Epoch: [65][6460/9018]	Time 0.606 (0.623)	Data 0.013 (0.003)	Loss 1.8079 (1.7374)	Prec@1 53.000 (53.794)	Prec@5 83.500 (82.962)
Epoch: [65][6470/9018]	Time 0.603 (0.623)	Data 0.013 (0.003)	Loss 1.9546 (1.7374)	Prec@1 48.500 (53.794)	Prec@5 81.500 (82.964)
Epoch: [65][6480/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.8863 (1.7374)	Prec@1 51.500 (53.795)	Prec@5 85.500 (82.967)
Epoch: [65][6490/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7973 (1.7373)	Prec@1 51.000 (53.795)	Prec@5 81.500 (82.967)
Epoch: [65][6500/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6925 (1.7374)	Prec@1 57.500 (53.794)	Prec@5 81.000 (82.966)
Epoch: [65][6510/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7088 (1.7374)	Prec@1 51.500 (53.792)	Prec@5 84.000 (82.966)
Epoch: [65][6520/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6315 (1.7374)	Prec@1 60.500 (53.793)	Prec@5 86.000 (82.964)
Epoch: [65][6530/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.9021 (1.7375)	Prec@1 53.500 (53.793)	Prec@5 81.000 (82.963)
Epoch: [65][6540/9018]	Time 0.595 (0.623)	Data 0.011 (0.003)	Loss 1.7617 (1.7375)	Prec@1 53.000 (53.794)	Prec@5 86.000 (82.964)
Epoch: [65][6550/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.9130 (1.7376)	Prec@1 44.000 (53.791)	Prec@5 83.500 (82.963)
Epoch: [65][6560/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.8572 (1.7376)	Prec@1 50.500 (53.792)	Prec@5 81.500 (82.965)
Epoch: [65][6570/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6715 (1.7375)	Prec@1 58.500 (53.795)	Prec@5 84.500 (82.965)
Epoch: [65][6580/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7441 (1.7374)	Prec@1 57.000 (53.798)	Prec@5 81.500 (82.967)
Epoch: [65][6590/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.9726 (1.7374)	Prec@1 47.500 (53.799)	Prec@5 82.500 (82.968)
Epoch: [65][6600/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7458 (1.7374)	Prec@1 51.500 (53.800)	Prec@5 82.000 (82.969)
Epoch: [65][6610/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6984 (1.7373)	Prec@1 53.000 (53.804)	Prec@5 83.500 (82.971)
Epoch: [65][6620/9018]	Time 0.648 (0.623)	Data 0.014 (0.003)	Loss 1.7667 (1.7374)	Prec@1 52.500 (53.803)	Prec@5 82.000 (82.970)
Epoch: [65][6630/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.7369 (1.7374)	Prec@1 56.500 (53.801)	Prec@5 83.000 (82.970)
Epoch: [65][6640/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6055 (1.7374)	Prec@1 55.500 (53.799)	Prec@5 86.500 (82.970)
Epoch: [65][6650/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7437 (1.7374)	Prec@1 55.500 (53.797)	Prec@5 84.500 (82.971)
Epoch: [65][6660/9018]	Time 0.704 (0.623)	Data 0.001 (0.003)	Loss 1.8011 (1.7375)	Prec@1 55.000 (53.799)	Prec@5 80.500 (82.968)
Epoch: [65][6670/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.6415 (1.7375)	Prec@1 58.000 (53.800)	Prec@5 83.500 (82.967)
Epoch: [65][6680/9018]	Time 0.645 (0.623)	Data 0.001 (0.003)	Loss 1.8280 (1.7376)	Prec@1 52.000 (53.797)	Prec@5 82.500 (82.966)
Epoch: [65][6690/9018]	Time 0.621 (0.623)	Data 0.002 (0.003)	Loss 1.7607 (1.7376)	Prec@1 52.500 (53.797)	Prec@5 83.000 (82.967)
Epoch: [65][6700/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7308 (1.7377)	Prec@1 54.000 (53.795)	Prec@5 82.000 (82.967)
Epoch: [65][6710/9018]	Time 0.758 (0.623)	Data 0.001 (0.003)	Loss 1.7120 (1.7377)	Prec@1 54.000 (53.794)	Prec@5 83.500 (82.969)
Epoch: [65][6720/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7032 (1.7377)	Prec@1 54.500 (53.791)	Prec@5 80.500 (82.969)
Epoch: [65][6730/9018]	Time 0.618 (0.623)	Data 0.006 (0.003)	Loss 1.6134 (1.7379)	Prec@1 57.500 (53.789)	Prec@5 85.500 (82.967)
Epoch: [65][6740/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7137 (1.7378)	Prec@1 55.000 (53.790)	Prec@5 83.000 (82.967)
Epoch: [65][6750/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.8030 (1.7378)	Prec@1 52.000 (53.792)	Prec@5 81.500 (82.967)
Epoch: [65][6760/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.5616 (1.7378)	Prec@1 58.500 (53.792)	Prec@5 85.000 (82.967)
Epoch: [65][6770/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5773 (1.7378)	Prec@1 59.500 (53.792)	Prec@5 85.500 (82.966)
Epoch: [65][6780/9018]	Time 0.645 (0.623)	Data 0.001 (0.003)	Loss 1.6662 (1.7377)	Prec@1 56.500 (53.793)	Prec@5 85.000 (82.969)
Epoch: [65][6790/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8025 (1.7378)	Prec@1 53.500 (53.790)	Prec@5 79.500 (82.967)
Epoch: [65][6800/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8987 (1.7379)	Prec@1 47.500 (53.787)	Prec@5 80.000 (82.964)
Epoch: [65][6810/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.5383 (1.7379)	Prec@1 59.000 (53.788)	Prec@5 85.000 (82.967)
Epoch: [65][6820/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7353 (1.7378)	Prec@1 56.000 (53.788)	Prec@5 83.500 (82.968)
Epoch: [65][6830/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.6848 (1.7379)	Prec@1 55.000 (53.790)	Prec@5 83.500 (82.966)
Epoch: [65][6840/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7559 (1.7379)	Prec@1 51.000 (53.789)	Prec@5 83.500 (82.966)
Epoch: [65][6850/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8479 (1.7379)	Prec@1 52.500 (53.786)	Prec@5 81.500 (82.967)
Epoch: [65][6860/9018]	Time 0.611 (0.623)	Data 0.010 (0.003)	Loss 1.6116 (1.7379)	Prec@1 55.000 (53.787)	Prec@5 86.000 (82.967)
Epoch: [65][6870/9018]	Time 0.635 (0.623)	Data 0.016 (0.003)	Loss 1.6932 (1.7379)	Prec@1 59.500 (53.788)	Prec@5 82.500 (82.967)
Epoch: [65][6880/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8468 (1.7379)	Prec@1 52.500 (53.787)	Prec@5 79.500 (82.966)
Epoch: [65][6890/9018]	Time 0.623 (0.623)	Data 0.004 (0.003)	Loss 1.6644 (1.7379)	Prec@1 57.000 (53.787)	Prec@5 83.500 (82.965)
Epoch: [65][6900/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.6770 (1.7379)	Prec@1 53.500 (53.788)	Prec@5 85.500 (82.966)
Epoch: [65][6910/9018]	Time 0.622 (0.623)	Data 0.009 (0.003)	Loss 1.6623 (1.7379)	Prec@1 55.000 (53.787)	Prec@5 85.500 (82.968)
Epoch: [65][6920/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 2.0796 (1.7379)	Prec@1 42.000 (53.787)	Prec@5 79.500 (82.967)
Epoch: [65][6930/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7972 (1.7378)	Prec@1 53.000 (53.789)	Prec@5 82.000 (82.969)
Epoch: [65][6940/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.8165 (1.7378)	Prec@1 50.000 (53.787)	Prec@5 84.000 (82.969)
Epoch: [65][6950/9018]	Time 0.616 (0.623)	Data 0.014 (0.003)	Loss 2.0029 (1.7378)	Prec@1 48.000 (53.788)	Prec@5 78.000 (82.969)
Epoch: [65][6960/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8891 (1.7378)	Prec@1 56.000 (53.790)	Prec@5 79.000 (82.968)
Epoch: [65][6970/9018]	Time 0.604 (0.623)	Data 0.014 (0.003)	Loss 1.8944 (1.7379)	Prec@1 53.000 (53.789)	Prec@5 78.500 (82.967)
Epoch: [65][6980/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.9711 (1.7379)	Prec@1 45.500 (53.787)	Prec@5 79.500 (82.968)
Epoch: [65][6990/9018]	Time 0.765 (0.623)	Data 0.001 (0.003)	Loss 1.6437 (1.7380)	Prec@1 55.500 (53.786)	Prec@5 82.500 (82.968)
Epoch: [65][7000/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6680 (1.7379)	Prec@1 59.500 (53.787)	Prec@5 87.500 (82.967)
Epoch: [65][7010/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8108 (1.7380)	Prec@1 53.000 (53.787)	Prec@5 82.000 (82.968)
Epoch: [65][7020/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.6146 (1.7379)	Prec@1 58.000 (53.788)	Prec@5 83.500 (82.968)
Epoch: [65][7030/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7249 (1.7380)	Prec@1 49.000 (53.784)	Prec@5 82.500 (82.968)
Epoch: [65][7040/9018]	Time 0.715 (0.623)	Data 0.001 (0.003)	Loss 1.9501 (1.7380)	Prec@1 51.500 (53.783)	Prec@5 78.500 (82.966)
Epoch: [65][7050/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.4851 (1.7381)	Prec@1 55.500 (53.781)	Prec@5 88.000 (82.965)
Epoch: [65][7060/9018]	Time 0.599 (0.623)	Data 0.016 (0.003)	Loss 1.7548 (1.7381)	Prec@1 54.000 (53.781)	Prec@5 80.500 (82.966)
Epoch: [65][7070/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.8890 (1.7381)	Prec@1 49.500 (53.779)	Prec@5 83.000 (82.966)
Epoch: [65][7080/9018]	Time 0.629 (0.623)	Data 0.005 (0.003)	Loss 1.7502 (1.7382)	Prec@1 56.500 (53.779)	Prec@5 83.000 (82.964)
Epoch: [65][7090/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.5697 (1.7381)	Prec@1 60.500 (53.781)	Prec@5 84.500 (82.966)
Epoch: [65][7100/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.9961 (1.7380)	Prec@1 51.000 (53.785)	Prec@5 80.500 (82.968)
Epoch: [65][7110/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8803 (1.7381)	Prec@1 54.500 (53.782)	Prec@5 80.500 (82.966)
Epoch: [65][7120/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.9150 (1.7381)	Prec@1 49.500 (53.780)	Prec@5 82.000 (82.967)
Epoch: [65][7130/9018]	Time 0.648 (0.623)	Data 0.016 (0.003)	Loss 1.6014 (1.7381)	Prec@1 57.000 (53.781)	Prec@5 85.500 (82.967)
Epoch: [65][7140/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6807 (1.7382)	Prec@1 58.000 (53.780)	Prec@5 81.500 (82.966)
Epoch: [65][7150/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6834 (1.7381)	Prec@1 52.500 (53.781)	Prec@5 86.000 (82.968)
Epoch: [65][7160/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8365 (1.7382)	Prec@1 51.000 (53.780)	Prec@5 82.000 (82.966)
Epoch: [65][7170/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.7300 (1.7382)	Prec@1 49.500 (53.780)	Prec@5 87.000 (82.966)
Epoch: [65][7180/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.7369 (1.7383)	Prec@1 57.000 (53.779)	Prec@5 82.500 (82.963)
Epoch: [65][7190/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.4960 (1.7382)	Prec@1 60.000 (53.781)	Prec@5 84.000 (82.964)
Epoch: [65][7200/9018]	Time 0.640 (0.622)	Data 0.001 (0.003)	Loss 1.6378 (1.7382)	Prec@1 54.500 (53.780)	Prec@5 84.000 (82.965)
Epoch: [65][7210/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.7015 (1.7381)	Prec@1 53.500 (53.781)	Prec@5 84.000 (82.965)
Epoch: [65][7220/9018]	Time 0.606 (0.622)	Data 0.005 (0.003)	Loss 1.6995 (1.7382)	Prec@1 53.500 (53.780)	Prec@5 84.500 (82.965)
Epoch: [65][7230/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.8563 (1.7382)	Prec@1 55.000 (53.780)	Prec@5 78.000 (82.966)
Epoch: [65][7240/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6136 (1.7382)	Prec@1 55.000 (53.780)	Prec@5 86.500 (82.967)
Epoch: [65][7250/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7332 (1.7382)	Prec@1 53.500 (53.780)	Prec@5 84.500 (82.966)
Epoch: [65][7260/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.8619 (1.7382)	Prec@1 52.000 (53.780)	Prec@5 79.000 (82.965)
Epoch: [65][7270/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.7582 (1.7383)	Prec@1 53.500 (53.779)	Prec@5 84.000 (82.964)
Epoch: [65][7280/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.5742 (1.7382)	Prec@1 57.500 (53.781)	Prec@5 87.000 (82.966)
Epoch: [65][7290/9018]	Time 0.611 (0.622)	Data 0.002 (0.003)	Loss 1.8156 (1.7382)	Prec@1 51.500 (53.783)	Prec@5 83.500 (82.966)
Epoch: [65][7300/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7109 (1.7382)	Prec@1 53.500 (53.784)	Prec@5 82.500 (82.965)
Epoch: [65][7310/9018]	Time 0.633 (0.622)	Data 0.017 (0.003)	Loss 1.9073 (1.7382)	Prec@1 47.500 (53.783)	Prec@5 84.000 (82.966)
Epoch: [65][7320/9018]	Time 0.756 (0.622)	Data 0.001 (0.003)	Loss 1.5868 (1.7381)	Prec@1 59.000 (53.784)	Prec@5 85.500 (82.966)
Epoch: [65][7330/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7078 (1.7382)	Prec@1 50.000 (53.783)	Prec@5 83.000 (82.966)
Epoch: [65][7340/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.6802 (1.7381)	Prec@1 56.000 (53.786)	Prec@5 84.500 (82.967)
Epoch: [65][7350/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.6804 (1.7381)	Prec@1 56.000 (53.784)	Prec@5 84.000 (82.967)
Epoch: [65][7360/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.9060 (1.7381)	Prec@1 49.000 (53.784)	Prec@5 77.000 (82.967)
Epoch: [65][7370/9018]	Time 0.757 (0.622)	Data 0.001 (0.003)	Loss 1.7564 (1.7381)	Prec@1 59.000 (53.784)	Prec@5 81.000 (82.967)
Epoch: [65][7380/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.6393 (1.7382)	Prec@1 56.000 (53.783)	Prec@5 84.000 (82.967)
Epoch: [65][7390/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.7034 (1.7382)	Prec@1 50.500 (53.781)	Prec@5 81.500 (82.966)
Epoch: [65][7400/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.8479 (1.7383)	Prec@1 52.500 (53.779)	Prec@5 83.000 (82.963)
Epoch: [65][7410/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 2.0867 (1.7383)	Prec@1 48.500 (53.780)	Prec@5 76.000 (82.963)
Epoch: [65][7420/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7240 (1.7382)	Prec@1 50.000 (53.779)	Prec@5 83.500 (82.965)
Epoch: [65][7430/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.6900 (1.7382)	Prec@1 54.500 (53.779)	Prec@5 87.500 (82.965)
Epoch: [65][7440/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.6534 (1.7382)	Prec@1 53.000 (53.778)	Prec@5 84.000 (82.965)
Epoch: [65][7450/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.9197 (1.7383)	Prec@1 50.000 (53.776)	Prec@5 82.500 (82.964)
Epoch: [65][7460/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8024 (1.7383)	Prec@1 54.000 (53.775)	Prec@5 80.000 (82.964)
Epoch: [65][7470/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.8129 (1.7382)	Prec@1 54.500 (53.775)	Prec@5 84.000 (82.965)
Epoch: [65][7480/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.7063 (1.7381)	Prec@1 50.500 (53.777)	Prec@5 81.500 (82.966)
Epoch: [65][7490/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.5996 (1.7381)	Prec@1 58.500 (53.778)	Prec@5 86.000 (82.966)
Epoch: [65][7500/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.5042 (1.7382)	Prec@1 58.000 (53.776)	Prec@5 89.000 (82.965)
Epoch: [65][7510/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.7287 (1.7382)	Prec@1 54.000 (53.776)	Prec@5 79.500 (82.963)
Epoch: [65][7520/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.5466 (1.7381)	Prec@1 58.000 (53.779)	Prec@5 86.500 (82.966)
Epoch: [65][7530/9018]	Time 0.589 (0.622)	Data 0.001 (0.003)	Loss 1.4853 (1.7381)	Prec@1 61.000 (53.780)	Prec@5 86.000 (82.966)
Epoch: [65][7540/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7377 (1.7381)	Prec@1 55.500 (53.781)	Prec@5 83.000 (82.965)
Epoch: [65][7550/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.6818 (1.7381)	Prec@1 55.000 (53.781)	Prec@5 86.000 (82.966)
Epoch: [65][7560/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.6835 (1.7381)	Prec@1 53.000 (53.781)	Prec@5 85.500 (82.967)
Epoch: [65][7570/9018]	Time 0.637 (0.622)	Data 0.001 (0.003)	Loss 1.7971 (1.7380)	Prec@1 53.000 (53.783)	Prec@5 83.500 (82.967)
Epoch: [65][7580/9018]	Time 0.647 (0.622)	Data 0.001 (0.003)	Loss 2.0386 (1.7381)	Prec@1 45.000 (53.781)	Prec@5 79.000 (82.965)
Epoch: [65][7590/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.6139 (1.7381)	Prec@1 55.500 (53.781)	Prec@5 84.000 (82.966)
Epoch: [65][7600/9018]	Time 0.644 (0.622)	Data 0.001 (0.003)	Loss 1.8105 (1.7381)	Prec@1 54.000 (53.781)	Prec@5 81.000 (82.965)
Epoch: [65][7610/9018]	Time 0.591 (0.622)	Data 0.016 (0.003)	Loss 1.5922 (1.7380)	Prec@1 52.000 (53.784)	Prec@5 86.500 (82.967)
Epoch: [65][7620/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7957 (1.7380)	Prec@1 53.500 (53.782)	Prec@5 82.000 (82.966)
Epoch: [65][7630/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.9461 (1.7381)	Prec@1 50.500 (53.780)	Prec@5 78.000 (82.965)
Epoch: [65][7640/9018]	Time 0.630 (0.622)	Data 0.015 (0.003)	Loss 1.7939 (1.7382)	Prec@1 51.500 (53.778)	Prec@5 81.000 (82.963)
Epoch: [65][7650/9018]	Time 0.705 (0.622)	Data 0.001 (0.003)	Loss 1.7769 (1.7382)	Prec@1 54.000 (53.778)	Prec@5 82.000 (82.963)
Epoch: [65][7660/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.8186 (1.7382)	Prec@1 49.500 (53.779)	Prec@5 81.000 (82.963)
Epoch: [65][7670/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.8139 (1.7382)	Prec@1 49.500 (53.777)	Prec@5 83.500 (82.964)
Epoch: [65][7680/9018]	Time 0.650 (0.622)	Data 0.001 (0.003)	Loss 1.5828 (1.7382)	Prec@1 57.500 (53.775)	Prec@5 87.000 (82.964)
Epoch: [65][7690/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.6184 (1.7382)	Prec@1 56.500 (53.776)	Prec@5 84.500 (82.965)
Epoch: [65][7700/9018]	Time 0.765 (0.622)	Data 0.001 (0.003)	Loss 1.6450 (1.7382)	Prec@1 57.000 (53.776)	Prec@5 82.500 (82.965)
Epoch: [65][7710/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.6647 (1.7382)	Prec@1 55.000 (53.775)	Prec@5 82.000 (82.965)
Epoch: [65][7720/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.8126 (1.7383)	Prec@1 55.000 (53.775)	Prec@5 83.500 (82.965)
Epoch: [65][7730/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.6598 (1.7382)	Prec@1 53.500 (53.776)	Prec@5 83.000 (82.967)
Epoch: [65][7740/9018]	Time 0.597 (0.622)	Data 0.007 (0.003)	Loss 1.8880 (1.7382)	Prec@1 52.500 (53.776)	Prec@5 78.000 (82.967)
Epoch: [65][7750/9018]	Time 0.605 (0.622)	Data 0.014 (0.003)	Loss 1.8858 (1.7383)	Prec@1 53.000 (53.777)	Prec@5 81.000 (82.965)
Epoch: [65][7760/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.5504 (1.7383)	Prec@1 62.000 (53.776)	Prec@5 86.500 (82.964)
Epoch: [65][7770/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6527 (1.7383)	Prec@1 56.000 (53.778)	Prec@5 83.500 (82.963)
Epoch: [65][7780/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.7559 (1.7382)	Prec@1 54.500 (53.779)	Prec@5 82.000 (82.963)
Epoch: [65][7790/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.7994 (1.7382)	Prec@1 47.500 (53.778)	Prec@5 82.000 (82.961)
Epoch: [65][7800/9018]	Time 0.599 (0.622)	Data 0.004 (0.003)	Loss 1.7542 (1.7382)	Prec@1 50.500 (53.779)	Prec@5 83.000 (82.962)
Epoch: [65][7810/9018]	Time 0.610 (0.622)	Data 0.019 (0.003)	Loss 1.8767 (1.7383)	Prec@1 49.000 (53.778)	Prec@5 81.500 (82.961)
Epoch: [65][7820/9018]	Time 0.604 (0.622)	Data 0.014 (0.003)	Loss 1.6623 (1.7383)	Prec@1 59.500 (53.777)	Prec@5 84.500 (82.960)
Epoch: [65][7830/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 2.0030 (1.7383)	Prec@1 50.500 (53.778)	Prec@5 78.500 (82.961)
Epoch: [65][7840/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.8995 (1.7383)	Prec@1 53.000 (53.777)	Prec@5 81.000 (82.961)
Epoch: [65][7850/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.6820 (1.7383)	Prec@1 56.500 (53.780)	Prec@5 85.500 (82.962)
Epoch: [65][7860/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.6072 (1.7383)	Prec@1 54.500 (53.781)	Prec@5 84.500 (82.962)
Epoch: [65][7870/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.6806 (1.7383)	Prec@1 57.000 (53.782)	Prec@5 82.000 (82.963)
Epoch: [65][7880/9018]	Time 0.607 (0.622)	Data 0.002 (0.003)	Loss 1.6622 (1.7383)	Prec@1 55.500 (53.780)	Prec@5 85.000 (82.963)
Epoch: [65][7890/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.5498 (1.7382)	Prec@1 55.000 (53.780)	Prec@5 85.500 (82.964)
Epoch: [65][7900/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.7985 (1.7382)	Prec@1 52.500 (53.780)	Prec@5 82.500 (82.963)
Epoch: [65][7910/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7350 (1.7383)	Prec@1 54.000 (53.779)	Prec@5 81.500 (82.961)
Epoch: [65][7920/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7520 (1.7383)	Prec@1 51.000 (53.777)	Prec@5 82.500 (82.962)
Epoch: [65][7930/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.8188 (1.7383)	Prec@1 50.000 (53.777)	Prec@5 83.000 (82.961)
Epoch: [65][7940/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7444 (1.7382)	Prec@1 57.000 (53.779)	Prec@5 84.500 (82.962)
Epoch: [65][7950/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.9311 (1.7383)	Prec@1 46.000 (53.774)	Prec@5 79.500 (82.959)
Epoch: [65][7960/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.7636 (1.7383)	Prec@1 58.500 (53.775)	Prec@5 82.500 (82.959)
Epoch: [65][7970/9018]	Time 0.605 (0.622)	Data 0.009 (0.003)	Loss 1.7956 (1.7383)	Prec@1 47.500 (53.775)	Prec@5 82.000 (82.960)
Epoch: [65][7980/9018]	Time 0.758 (0.622)	Data 0.001 (0.003)	Loss 1.7132 (1.7383)	Prec@1 58.500 (53.779)	Prec@5 84.000 (82.961)
Epoch: [65][7990/9018]	Time 0.634 (0.622)	Data 0.001 (0.003)	Loss 1.9734 (1.7383)	Prec@1 51.000 (53.777)	Prec@5 79.000 (82.960)
Epoch: [65][8000/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.4818 (1.7384)	Prec@1 58.500 (53.776)	Prec@5 87.000 (82.959)
Epoch: [65][8010/9018]	Time 0.618 (0.622)	Data 0.012 (0.003)	Loss 1.8995 (1.7384)	Prec@1 50.500 (53.776)	Prec@5 80.000 (82.959)
Epoch: [65][8020/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.7777 (1.7384)	Prec@1 53.500 (53.776)	Prec@5 81.500 (82.958)
Epoch: [65][8030/9018]	Time 0.715 (0.622)	Data 0.001 (0.003)	Loss 1.7359 (1.7384)	Prec@1 54.500 (53.775)	Prec@5 82.500 (82.957)
Epoch: [65][8040/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.6127 (1.7384)	Prec@1 55.500 (53.773)	Prec@5 85.000 (82.956)
Epoch: [65][8050/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.7462 (1.7384)	Prec@1 54.500 (53.774)	Prec@5 80.000 (82.955)
Epoch: [65][8060/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.7701 (1.7384)	Prec@1 54.500 (53.773)	Prec@5 82.500 (82.956)
Epoch: [65][8070/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.8016 (1.7384)	Prec@1 49.500 (53.774)	Prec@5 82.000 (82.956)
Epoch: [65][8080/9018]	Time 0.646 (0.622)	Data 0.007 (0.003)	Loss 1.5331 (1.7384)	Prec@1 55.000 (53.773)	Prec@5 86.500 (82.957)
Epoch: [65][8090/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.9291 (1.7384)	Prec@1 47.500 (53.772)	Prec@5 82.000 (82.956)
Epoch: [65][8100/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.6973 (1.7384)	Prec@1 57.500 (53.774)	Prec@5 82.500 (82.954)
Epoch: [65][8110/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.8896 (1.7385)	Prec@1 49.000 (53.774)	Prec@5 78.500 (82.953)
Epoch: [65][8120/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.6440 (1.7385)	Prec@1 55.500 (53.772)	Prec@5 83.500 (82.952)
Epoch: [65][8130/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.6829 (1.7386)	Prec@1 55.500 (53.771)	Prec@5 81.000 (82.951)
Epoch: [65][8140/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.6209 (1.7385)	Prec@1 54.500 (53.771)	Prec@5 84.500 (82.953)
Epoch: [65][8150/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7073 (1.7386)	Prec@1 56.000 (53.769)	Prec@5 83.500 (82.953)
Epoch: [65][8160/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7982 (1.7386)	Prec@1 49.500 (53.768)	Prec@5 82.500 (82.954)
Epoch: [65][8170/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7407 (1.7385)	Prec@1 57.000 (53.770)	Prec@5 82.000 (82.953)
Epoch: [65][8180/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.7963 (1.7386)	Prec@1 50.500 (53.771)	Prec@5 79.500 (82.953)
Epoch: [65][8190/9018]	Time 0.609 (0.622)	Data 0.014 (0.003)	Loss 1.8365 (1.7386)	Prec@1 51.500 (53.769)	Prec@5 80.500 (82.953)
Epoch: [65][8200/9018]	Time 0.632 (0.622)	Data 0.013 (0.003)	Loss 1.6744 (1.7385)	Prec@1 57.000 (53.772)	Prec@5 84.000 (82.955)
Epoch: [65][8210/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.8684 (1.7386)	Prec@1 52.000 (53.771)	Prec@5 78.500 (82.953)
Epoch: [65][8220/9018]	Time 0.605 (0.622)	Data 0.008 (0.003)	Loss 1.5229 (1.7387)	Prec@1 55.000 (53.770)	Prec@5 83.500 (82.953)
Epoch: [65][8230/9018]	Time 0.649 (0.622)	Data 0.001 (0.003)	Loss 1.6042 (1.7386)	Prec@1 56.500 (53.771)	Prec@5 83.500 (82.954)
Epoch: [65][8240/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.7140 (1.7385)	Prec@1 51.000 (53.771)	Prec@5 82.000 (82.955)
Epoch: [65][8250/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.7961 (1.7385)	Prec@1 55.000 (53.773)	Prec@5 82.000 (82.955)
Epoch: [65][8260/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7023 (1.7385)	Prec@1 55.000 (53.774)	Prec@5 83.000 (82.955)
Epoch: [65][8270/9018]	Time 0.588 (0.622)	Data 0.001 (0.003)	Loss 1.7849 (1.7385)	Prec@1 50.500 (53.774)	Prec@5 81.000 (82.956)
Epoch: [65][8280/9018]	Time 0.600 (0.622)	Data 0.027 (0.003)	Loss 2.0388 (1.7385)	Prec@1 51.500 (53.774)	Prec@5 77.500 (82.956)
Epoch: [65][8290/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.6934 (1.7385)	Prec@1 53.500 (53.774)	Prec@5 84.000 (82.956)
Epoch: [65][8300/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.8456 (1.7385)	Prec@1 48.500 (53.775)	Prec@5 87.000 (82.957)
Epoch: [65][8310/9018]	Time 0.708 (0.622)	Data 0.001 (0.003)	Loss 1.8428 (1.7385)	Prec@1 50.000 (53.775)	Prec@5 81.000 (82.956)
Epoch: [65][8320/9018]	Time 0.606 (0.622)	Data 0.002 (0.003)	Loss 1.6280 (1.7384)	Prec@1 58.500 (53.776)	Prec@5 85.500 (82.958)
Epoch: [65][8330/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.6886 (1.7385)	Prec@1 51.500 (53.774)	Prec@5 85.000 (82.957)
Epoch: [65][8340/9018]	Time 0.600 (0.622)	Data 0.008 (0.003)	Loss 1.5231 (1.7384)	Prec@1 59.000 (53.774)	Prec@5 87.500 (82.959)
Epoch: [65][8350/9018]	Time 0.620 (0.622)	Data 0.017 (0.003)	Loss 1.6705 (1.7385)	Prec@1 57.500 (53.775)	Prec@5 83.000 (82.958)
Epoch: [65][8360/9018]	Time 0.780 (0.622)	Data 0.001 (0.003)	Loss 1.7905 (1.7385)	Prec@1 57.500 (53.776)	Prec@5 83.000 (82.958)
Epoch: [65][8370/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.7402 (1.7385)	Prec@1 55.000 (53.775)	Prec@5 86.500 (82.958)
Epoch: [65][8380/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.7273 (1.7385)	Prec@1 56.000 (53.774)	Prec@5 82.000 (82.959)
Epoch: [65][8390/9018]	Time 0.593 (0.622)	Data 0.008 (0.003)	Loss 1.7223 (1.7385)	Prec@1 56.000 (53.776)	Prec@5 82.500 (82.959)
Epoch: [65][8400/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.6542 (1.7385)	Prec@1 50.000 (53.776)	Prec@5 86.500 (82.960)
Epoch: [65][8410/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.7003 (1.7385)	Prec@1 53.500 (53.776)	Prec@5 83.500 (82.959)
Epoch: [65][8420/9018]	Time 0.638 (0.622)	Data 0.001 (0.003)	Loss 1.6974 (1.7385)	Prec@1 56.000 (53.777)	Prec@5 85.500 (82.960)
Epoch: [65][8430/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.9348 (1.7385)	Prec@1 48.000 (53.777)	Prec@5 78.000 (82.958)
Epoch: [65][8440/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.6198 (1.7384)	Prec@1 55.000 (53.779)	Prec@5 86.500 (82.959)
Epoch: [65][8450/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.8101 (1.7384)	Prec@1 55.500 (53.779)	Prec@5 79.000 (82.960)
Epoch: [65][8460/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8747 (1.7385)	Prec@1 52.500 (53.778)	Prec@5 80.500 (82.959)
Epoch: [65][8470/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.7421 (1.7385)	Prec@1 55.000 (53.778)	Prec@5 83.500 (82.959)
Epoch: [65][8480/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.8150 (1.7385)	Prec@1 49.000 (53.778)	Prec@5 81.500 (82.958)
Epoch: [65][8490/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7986 (1.7385)	Prec@1 55.500 (53.778)	Prec@5 82.000 (82.959)
Epoch: [65][8500/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.7575 (1.7386)	Prec@1 56.500 (53.776)	Prec@5 82.000 (82.958)
Epoch: [65][8510/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 2.0164 (1.7386)	Prec@1 48.500 (53.776)	Prec@5 78.000 (82.957)
Epoch: [65][8520/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7058 (1.7386)	Prec@1 56.000 (53.778)	Prec@5 82.000 (82.956)
Epoch: [65][8530/9018]	Time 0.612 (0.622)	Data 0.002 (0.003)	Loss 1.7171 (1.7385)	Prec@1 51.500 (53.779)	Prec@5 85.000 (82.957)
Epoch: [65][8540/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7040 (1.7385)	Prec@1 54.500 (53.779)	Prec@5 84.500 (82.958)
Epoch: [65][8550/9018]	Time 0.633 (0.622)	Data 0.006 (0.003)	Loss 1.8367 (1.7386)	Prec@1 52.000 (53.779)	Prec@5 79.500 (82.956)
Epoch: [65][8560/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.6905 (1.7386)	Prec@1 59.500 (53.777)	Prec@5 85.000 (82.955)
Epoch: [65][8570/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.6329 (1.7386)	Prec@1 51.500 (53.777)	Prec@5 86.000 (82.955)
Epoch: [65][8580/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.6351 (1.7386)	Prec@1 55.000 (53.776)	Prec@5 84.500 (82.956)
Epoch: [65][8590/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.7030 (1.7386)	Prec@1 52.000 (53.776)	Prec@5 83.000 (82.957)
Epoch: [65][8600/9018]	Time 0.642 (0.622)	Data 0.001 (0.003)	Loss 1.7046 (1.7386)	Prec@1 52.000 (53.776)	Prec@5 83.500 (82.956)
Epoch: [65][8610/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.9549 (1.7387)	Prec@1 47.000 (53.774)	Prec@5 78.500 (82.954)
Epoch: [65][8620/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.6040 (1.7386)	Prec@1 55.000 (53.775)	Prec@5 85.500 (82.955)
Epoch: [65][8630/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.8049 (1.7387)	Prec@1 53.500 (53.774)	Prec@5 77.500 (82.953)
Epoch: [65][8640/9018]	Time 0.720 (0.622)	Data 0.001 (0.003)	Loss 1.6897 (1.7387)	Prec@1 52.000 (53.773)	Prec@5 85.500 (82.953)
Epoch: [65][8650/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.5597 (1.7387)	Prec@1 58.000 (53.772)	Prec@5 87.500 (82.952)
Epoch: [65][8660/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.6806 (1.7388)	Prec@1 54.000 (53.770)	Prec@5 81.000 (82.950)
Epoch: [65][8670/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.7147 (1.7388)	Prec@1 55.500 (53.771)	Prec@5 82.500 (82.950)
Epoch: [65][8680/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.8263 (1.7388)	Prec@1 48.500 (53.772)	Prec@5 80.000 (82.951)
Epoch: [65][8690/9018]	Time 0.742 (0.622)	Data 0.001 (0.003)	Loss 1.8439 (1.7389)	Prec@1 50.500 (53.771)	Prec@5 82.000 (82.950)
Epoch: [65][8700/9018]	Time 0.616 (0.622)	Data 0.011 (0.003)	Loss 1.8134 (1.7388)	Prec@1 52.500 (53.771)	Prec@5 83.500 (82.951)
Epoch: [65][8710/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.8060 (1.7389)	Prec@1 53.500 (53.771)	Prec@5 79.500 (82.951)
Epoch: [65][8720/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.7832 (1.7389)	Prec@1 48.500 (53.769)	Prec@5 83.500 (82.951)
Epoch: [65][8730/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.6226 (1.7389)	Prec@1 54.000 (53.769)	Prec@5 86.000 (82.951)
Epoch: [65][8740/9018]	Time 0.635 (0.622)	Data 0.001 (0.003)	Loss 1.5981 (1.7389)	Prec@1 54.500 (53.769)	Prec@5 86.000 (82.950)
Epoch: [65][8750/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.8248 (1.7389)	Prec@1 51.000 (53.770)	Prec@5 81.000 (82.951)
Epoch: [65][8760/9018]	Time 0.625 (0.622)	Data 0.014 (0.003)	Loss 1.9095 (1.7389)	Prec@1 51.500 (53.770)	Prec@5 81.000 (82.952)
Epoch: [65][8770/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.6015 (1.7389)	Prec@1 55.000 (53.771)	Prec@5 86.500 (82.953)
Epoch: [65][8780/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.7566 (1.7389)	Prec@1 55.000 (53.771)	Prec@5 84.500 (82.952)
Epoch: [65][8790/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.9685 (1.7389)	Prec@1 50.500 (53.771)	Prec@5 79.000 (82.952)
Epoch: [65][8800/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.8611 (1.7389)	Prec@1 48.500 (53.770)	Prec@5 81.500 (82.953)
Epoch: [65][8810/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.6253 (1.7389)	Prec@1 57.500 (53.769)	Prec@5 84.000 (82.953)
Epoch: [65][8820/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.7721 (1.7390)	Prec@1 56.000 (53.768)	Prec@5 81.000 (82.950)
Epoch: [65][8830/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.6865 (1.7390)	Prec@1 57.000 (53.768)	Prec@5 83.000 (82.949)
Epoch: [65][8840/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.8901 (1.7390)	Prec@1 50.500 (53.767)	Prec@5 82.000 (82.949)
Epoch: [65][8850/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.7013 (1.7390)	Prec@1 54.000 (53.767)	Prec@5 84.000 (82.950)
Epoch: [65][8860/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.6300 (1.7389)	Prec@1 56.500 (53.769)	Prec@5 86.500 (82.950)
Epoch: [65][8870/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.6453 (1.7389)	Prec@1 54.000 (53.770)	Prec@5 85.000 (82.951)
Epoch: [65][8880/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.9224 (1.7389)	Prec@1 49.500 (53.772)	Prec@5 81.000 (82.951)
Epoch: [65][8890/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7835 (1.7390)	Prec@1 55.000 (53.771)	Prec@5 80.500 (82.949)
Epoch: [65][8900/9018]	Time 0.603 (0.622)	Data 0.015 (0.003)	Loss 1.7221 (1.7390)	Prec@1 53.000 (53.771)	Prec@5 81.500 (82.949)
Epoch: [65][8910/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.6082 (1.7390)	Prec@1 55.500 (53.770)	Prec@5 85.500 (82.950)
Epoch: [65][8920/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.8720 (1.7390)	Prec@1 49.000 (53.768)	Prec@5 78.000 (82.949)
Epoch: [65][8930/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.7292 (1.7390)	Prec@1 53.000 (53.767)	Prec@5 81.500 (82.949)
Epoch: [65][8940/9018]	Time 0.594 (0.622)	Data 0.006 (0.003)	Loss 1.5585 (1.7390)	Prec@1 59.500 (53.768)	Prec@5 88.000 (82.949)
Epoch: [65][8950/9018]	Time 0.630 (0.622)	Data 0.017 (0.003)	Loss 1.7618 (1.7390)	Prec@1 54.500 (53.769)	Prec@5 82.500 (82.950)
Epoch: [65][8960/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 1.6873 (1.7390)	Prec@1 61.500 (53.768)	Prec@5 84.500 (82.950)
Epoch: [65][8970/9018]	Time 0.728 (0.622)	Data 0.001 (0.003)	Loss 1.6758 (1.7391)	Prec@1 51.000 (53.767)	Prec@5 86.000 (82.949)
Epoch: [65][8980/9018]	Time 0.605 (0.621)	Data 0.012 (0.003)	Loss 1.6896 (1.7390)	Prec@1 55.000 (53.766)	Prec@5 84.000 (82.950)
Epoch: [65][8990/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.7329 (1.7391)	Prec@1 52.000 (53.764)	Prec@5 83.000 (82.951)
Epoch: [65][9000/9018]	Time 0.603 (0.621)	Data 0.005 (0.003)	Loss 1.6401 (1.7390)	Prec@1 55.500 (53.764)	Prec@5 86.000 (82.952)
Epoch: [65][9010/9018]	Time 0.600 (0.621)	Data 0.000 (0.003)	Loss 1.5097 (1.7390)	Prec@1 59.000 (53.764)	Prec@5 86.000 (82.952)
Test: [0/183]	Time 1.633 (1.633)	Loss 2.4448 (2.4448)	Prec@1 36.500 (36.500)	Prec@5 73.000 (73.000)
Test: [10/183]	Time 0.195 (0.344)	Loss 1.3437 (1.5993)	Prec@1 66.000 (57.818)	Prec@5 89.000 (86.455)
Test: [20/183]	Time 0.198 (0.279)	Loss 1.9662 (1.5630)	Prec@1 50.000 (58.143)	Prec@5 81.500 (86.452)
Test: [30/183]	Time 0.192 (0.256)	Loss 2.2183 (1.5805)	Prec@1 32.000 (56.968)	Prec@5 79.500 (86.645)
Test: [40/183]	Time 0.179 (0.247)	Loss 2.1369 (1.5828)	Prec@1 41.000 (57.439)	Prec@5 83.000 (86.073)
Test: [50/183]	Time 0.229 (0.239)	Loss 1.3425 (1.5590)	Prec@1 62.500 (58.010)	Prec@5 90.500 (86.363)
Test: [60/183]	Time 0.228 (0.235)	Loss 2.1732 (1.6335)	Prec@1 44.000 (55.795)	Prec@5 78.000 (85.574)
Test: [70/183]	Time 0.246 (0.232)	Loss 1.7632 (1.6183)	Prec@1 49.000 (55.937)	Prec@5 83.500 (85.930)
Test: [80/183]	Time 0.197 (0.228)	Loss 1.3232 (1.6041)	Prec@1 56.500 (55.988)	Prec@5 94.000 (86.117)
Test: [90/183]	Time 0.215 (0.225)	Loss 2.2422 (1.5998)	Prec@1 42.500 (56.132)	Prec@5 72.000 (86.143)
Test: [100/183]	Time 0.210 (0.223)	Loss 0.7359 (1.6022)	Prec@1 78.500 (56.054)	Prec@5 96.500 (86.089)
Test: [110/183]	Time 0.221 (0.222)	Loss 0.7187 (1.6060)	Prec@1 81.500 (56.072)	Prec@5 96.500 (85.941)
Test: [120/183]	Time 0.203 (0.221)	Loss 2.0398 (1.6133)	Prec@1 44.000 (55.789)	Prec@5 74.500 (85.893)
Test: [130/183]	Time 0.204 (0.220)	Loss 2.7739 (1.6213)	Prec@1 22.000 (55.523)	Prec@5 76.500 (85.962)
Test: [140/183]	Time 0.237 (0.219)	Loss 1.4380 (1.6120)	Prec@1 64.000 (55.773)	Prec@5 87.500 (86.117)
Test: [150/183]	Time 0.214 (0.218)	Loss 0.5560 (1.6109)	Prec@1 85.500 (55.904)	Prec@5 99.000 (86.123)
Test: [160/183]	Time 0.186 (0.218)	Loss 1.5601 (1.6068)	Prec@1 55.000 (56.106)	Prec@5 85.500 (86.134)
Test: [170/183]	Time 0.198 (0.217)	Loss 2.0832 (1.6225)	Prec@1 37.000 (55.643)	Prec@5 83.500 (85.915)
Test: [180/183]	Time 0.189 (0.216)	Loss 1.8506 (1.6293)	Prec@1 48.000 (55.586)	Prec@5 84.500 (85.790)
 * Prec@1 55.573 Prec@5 85.781
Epoch: [66][0/9018]	Time 3.016 (3.016)	Data 2.376 (2.376)	Loss 1.7248 (1.7248)	Prec@1 50.500 (50.500)	Prec@5 86.500 (86.500)
Epoch: [66][10/9018]	Time 0.613 (0.842)	Data 0.001 (0.217)	Loss 1.7502 (1.7797)	Prec@1 52.500 (53.455)	Prec@5 78.000 (81.636)
Epoch: [66][20/9018]	Time 0.591 (0.736)	Data 0.001 (0.115)	Loss 1.8638 (1.7465)	Prec@1 50.000 (53.667)	Prec@5 79.500 (82.190)
Epoch: [66][30/9018]	Time 0.606 (0.695)	Data 0.008 (0.079)	Loss 1.5524 (1.7498)	Prec@1 57.500 (53.548)	Prec@5 86.000 (82.242)
Epoch: [66][40/9018]	Time 0.602 (0.676)	Data 0.001 (0.060)	Loss 1.5904 (1.7357)	Prec@1 54.500 (53.841)	Prec@5 86.000 (82.707)
Epoch: [66][50/9018]	Time 0.741 (0.665)	Data 0.001 (0.049)	Loss 1.6592 (1.7312)	Prec@1 56.000 (54.020)	Prec@5 86.500 (82.794)
Epoch: [66][60/9018]	Time 0.617 (0.656)	Data 0.001 (0.041)	Loss 1.6231 (1.7293)	Prec@1 53.500 (54.270)	Prec@5 85.000 (82.869)
Epoch: [66][70/9018]	Time 0.626 (0.652)	Data 0.001 (0.036)	Loss 1.6388 (1.7264)	Prec@1 58.500 (54.162)	Prec@5 85.500 (82.986)
Epoch: [66][80/9018]	Time 0.590 (0.647)	Data 0.001 (0.032)	Loss 1.7088 (1.7319)	Prec@1 56.500 (54.179)	Prec@5 85.000 (82.889)
Epoch: [66][90/9018]	Time 0.590 (0.644)	Data 0.015 (0.028)	Loss 1.7552 (1.7237)	Prec@1 52.500 (54.418)	Prec@5 83.000 (83.055)
Epoch: [66][100/9018]	Time 0.762 (0.643)	Data 0.001 (0.026)	Loss 1.7942 (1.7189)	Prec@1 49.000 (54.411)	Prec@5 82.500 (83.213)
Epoch: [66][110/9018]	Time 0.595 (0.640)	Data 0.001 (0.024)	Loss 1.5557 (1.7170)	Prec@1 57.500 (54.405)	Prec@5 85.000 (83.216)
Epoch: [66][120/9018]	Time 0.627 (0.639)	Data 0.001 (0.022)	Loss 1.7245 (1.7216)	Prec@1 53.000 (54.248)	Prec@5 83.500 (83.136)
Epoch: [66][130/9018]	Time 0.603 (0.637)	Data 0.001 (0.021)	Loss 1.8427 (1.7234)	Prec@1 49.000 (54.187)	Prec@5 81.000 (83.050)
Epoch: [66][140/9018]	Time 0.617 (0.637)	Data 0.001 (0.019)	Loss 1.7204 (1.7229)	Prec@1 56.500 (54.202)	Prec@5 84.000 (83.156)
Epoch: [66][150/9018]	Time 0.603 (0.636)	Data 0.001 (0.018)	Loss 1.6798 (1.7195)	Prec@1 54.000 (54.245)	Prec@5 83.500 (83.219)
Epoch: [66][160/9018]	Time 0.601 (0.634)	Data 0.001 (0.017)	Loss 1.8781 (1.7216)	Prec@1 47.500 (54.186)	Prec@5 81.500 (83.180)
Epoch: [66][170/9018]	Time 0.601 (0.634)	Data 0.001 (0.016)	Loss 1.8275 (1.7233)	Prec@1 52.000 (54.202)	Prec@5 81.000 (83.146)
Epoch: [66][180/9018]	Time 0.609 (0.632)	Data 0.001 (0.015)	Loss 1.7853 (1.7207)	Prec@1 53.500 (54.273)	Prec@5 81.500 (83.210)
Epoch: [66][190/9018]	Time 0.601 (0.632)	Data 0.001 (0.015)	Loss 1.6167 (1.7210)	Prec@1 56.000 (54.241)	Prec@5 85.000 (83.207)
Epoch: [66][200/9018]	Time 0.613 (0.632)	Data 0.001 (0.014)	Loss 1.5543 (1.7189)	Prec@1 54.500 (54.299)	Prec@5 87.000 (83.266)
Epoch: [66][210/9018]	Time 0.622 (0.631)	Data 0.001 (0.013)	Loss 1.7272 (1.7185)	Prec@1 54.000 (54.306)	Prec@5 86.000 (83.294)
Epoch: [66][220/9018]	Time 0.597 (0.630)	Data 0.001 (0.013)	Loss 1.8508 (1.7195)	Prec@1 49.000 (54.244)	Prec@5 83.500 (83.317)
Epoch: [66][230/9018]	Time 0.618 (0.630)	Data 0.001 (0.012)	Loss 1.7346 (1.7213)	Prec@1 48.500 (54.165)	Prec@5 83.500 (83.290)
Epoch: [66][240/9018]	Time 0.626 (0.630)	Data 0.011 (0.012)	Loss 1.8370 (1.7201)	Prec@1 51.500 (54.185)	Prec@5 81.000 (83.280)
Epoch: [66][250/9018]	Time 0.603 (0.629)	Data 0.001 (0.012)	Loss 1.9378 (1.7198)	Prec@1 50.500 (54.163)	Prec@5 78.500 (83.259)
Epoch: [66][260/9018]	Time 0.598 (0.628)	Data 0.001 (0.011)	Loss 1.7591 (1.7204)	Prec@1 56.000 (54.180)	Prec@5 84.500 (83.264)
Epoch: [66][270/9018]	Time 0.646 (0.628)	Data 0.001 (0.011)	Loss 1.8085 (1.7215)	Prec@1 55.000 (54.166)	Prec@5 83.000 (83.260)
Epoch: [66][280/9018]	Time 0.598 (0.628)	Data 0.001 (0.011)	Loss 1.6225 (1.7202)	Prec@1 56.500 (54.198)	Prec@5 83.500 (83.247)
Epoch: [66][290/9018]	Time 0.586 (0.627)	Data 0.001 (0.011)	Loss 1.7923 (1.7204)	Prec@1 52.500 (54.146)	Prec@5 82.500 (83.253)
Epoch: [66][300/9018]	Time 0.604 (0.627)	Data 0.001 (0.010)	Loss 1.7459 (1.7203)	Prec@1 54.500 (54.159)	Prec@5 81.500 (83.234)
Epoch: [66][310/9018]	Time 0.643 (0.626)	Data 0.001 (0.010)	Loss 1.6299 (1.7191)	Prec@1 55.000 (54.193)	Prec@5 87.500 (83.259)
Epoch: [66][320/9018]	Time 0.612 (0.627)	Data 0.001 (0.010)	Loss 1.8682 (1.7188)	Prec@1 52.500 (54.234)	Prec@5 79.000 (83.248)
Epoch: [66][330/9018]	Time 0.592 (0.626)	Data 0.001 (0.010)	Loss 1.6201 (1.7182)	Prec@1 57.500 (54.228)	Prec@5 82.000 (83.249)
Epoch: [66][340/9018]	Time 0.656 (0.626)	Data 0.001 (0.009)	Loss 1.7958 (1.7182)	Prec@1 52.500 (54.230)	Prec@5 84.500 (83.273)
Epoch: [66][350/9018]	Time 0.596 (0.626)	Data 0.001 (0.009)	Loss 1.7002 (1.7178)	Prec@1 55.000 (54.275)	Prec@5 85.500 (83.266)
Epoch: [66][360/9018]	Time 0.618 (0.626)	Data 0.001 (0.009)	Loss 1.5980 (1.7207)	Prec@1 60.500 (54.242)	Prec@5 84.500 (83.219)
Epoch: [66][370/9018]	Time 0.619 (0.626)	Data 0.001 (0.009)	Loss 1.8967 (1.7212)	Prec@1 49.500 (54.225)	Prec@5 83.500 (83.235)
Epoch: [66][380/9018]	Time 0.716 (0.626)	Data 0.001 (0.009)	Loss 1.7580 (1.7225)	Prec@1 52.000 (54.159)	Prec@5 83.000 (83.224)
Epoch: [66][390/9018]	Time 0.618 (0.625)	Data 0.005 (0.008)	Loss 1.7697 (1.7221)	Prec@1 53.000 (54.191)	Prec@5 81.500 (83.219)
Epoch: [66][400/9018]	Time 0.628 (0.625)	Data 0.001 (0.008)	Loss 1.6626 (1.7220)	Prec@1 59.000 (54.195)	Prec@5 82.000 (83.227)
Epoch: [66][410/9018]	Time 0.616 (0.625)	Data 0.001 (0.008)	Loss 1.7067 (1.7223)	Prec@1 57.500 (54.167)	Prec@5 85.000 (83.252)
Epoch: [66][420/9018]	Time 0.636 (0.625)	Data 0.004 (0.008)	Loss 1.7067 (1.7225)	Prec@1 53.000 (54.153)	Prec@5 84.000 (83.252)
Epoch: [66][430/9018]	Time 0.738 (0.625)	Data 0.001 (0.008)	Loss 1.9830 (1.7251)	Prec@1 43.000 (54.088)	Prec@5 81.500 (83.223)
Epoch: [66][440/9018]	Time 0.624 (0.624)	Data 0.001 (0.008)	Loss 1.6842 (1.7236)	Prec@1 54.500 (54.135)	Prec@5 86.000 (83.259)
Epoch: [66][450/9018]	Time 0.610 (0.624)	Data 0.001 (0.008)	Loss 1.6458 (1.7244)	Prec@1 57.500 (54.124)	Prec@5 85.500 (83.243)
Epoch: [66][460/9018]	Time 0.637 (0.624)	Data 0.001 (0.008)	Loss 1.7501 (1.7240)	Prec@1 51.000 (54.119)	Prec@5 81.500 (83.236)
Epoch: [66][470/9018]	Time 0.599 (0.624)	Data 0.001 (0.007)	Loss 1.7747 (1.7232)	Prec@1 50.500 (54.132)	Prec@5 83.500 (83.255)
Epoch: [66][480/9018]	Time 0.632 (0.624)	Data 0.001 (0.007)	Loss 1.7243 (1.7230)	Prec@1 54.500 (54.116)	Prec@5 85.500 (83.260)
Epoch: [66][490/9018]	Time 0.606 (0.624)	Data 0.001 (0.007)	Loss 1.9568 (1.7225)	Prec@1 47.500 (54.135)	Prec@5 81.000 (83.264)
Epoch: [66][500/9018]	Time 0.599 (0.624)	Data 0.001 (0.007)	Loss 1.6568 (1.7229)	Prec@1 53.000 (54.129)	Prec@5 86.000 (83.256)
Epoch: [66][510/9018]	Time 0.634 (0.624)	Data 0.001 (0.007)	Loss 1.8419 (1.7233)	Prec@1 51.500 (54.098)	Prec@5 83.000 (83.256)
Epoch: [66][520/9018]	Time 0.617 (0.624)	Data 0.001 (0.007)	Loss 1.8708 (1.7240)	Prec@1 47.000 (54.062)	Prec@5 80.500 (83.252)
Epoch: [66][530/9018]	Time 0.596 (0.624)	Data 0.001 (0.007)	Loss 1.8174 (1.7236)	Prec@1 52.500 (54.063)	Prec@5 81.500 (83.258)
Epoch: [66][540/9018]	Time 0.597 (0.623)	Data 0.005 (0.007)	Loss 1.6682 (1.7252)	Prec@1 52.500 (54.029)	Prec@5 86.000 (83.240)
Epoch: [66][550/9018]	Time 0.624 (0.623)	Data 0.002 (0.007)	Loss 1.6354 (1.7253)	Prec@1 58.500 (54.035)	Prec@5 84.500 (83.228)
Epoch: [66][560/9018]	Time 0.615 (0.623)	Data 0.001 (0.006)	Loss 1.5059 (1.7259)	Prec@1 61.500 (54.019)	Prec@5 85.000 (83.201)
Epoch: [66][570/9018]	Time 0.596 (0.623)	Data 0.001 (0.006)	Loss 1.7741 (1.7266)	Prec@1 51.500 (54.021)	Prec@5 80.000 (83.174)
Epoch: [66][580/9018]	Time 0.598 (0.623)	Data 0.001 (0.006)	Loss 1.7417 (1.7271)	Prec@1 52.500 (53.997)	Prec@5 86.000 (83.166)
Epoch: [66][590/9018]	Time 0.595 (0.623)	Data 0.001 (0.006)	Loss 1.6986 (1.7262)	Prec@1 58.000 (54.022)	Prec@5 84.000 (83.174)
Epoch: [66][600/9018]	Time 0.602 (0.623)	Data 0.001 (0.006)	Loss 1.9585 (1.7262)	Prec@1 49.500 (54.021)	Prec@5 81.000 (83.179)
Epoch: [66][610/9018]	Time 0.604 (0.623)	Data 0.001 (0.006)	Loss 1.7846 (1.7254)	Prec@1 55.000 (54.034)	Prec@5 82.000 (83.204)
Epoch: [66][620/9018]	Time 0.619 (0.623)	Data 0.001 (0.006)	Loss 1.6610 (1.7240)	Prec@1 57.500 (54.047)	Prec@5 82.000 (83.233)
Epoch: [66][630/9018]	Time 0.633 (0.623)	Data 0.001 (0.006)	Loss 1.7796 (1.7245)	Prec@1 57.000 (54.031)	Prec@5 82.500 (83.236)
Epoch: [66][640/9018]	Time 0.600 (0.623)	Data 0.001 (0.006)	Loss 1.7264 (1.7252)	Prec@1 53.500 (54.020)	Prec@5 86.000 (83.234)
Epoch: [66][650/9018]	Time 0.617 (0.623)	Data 0.001 (0.006)	Loss 2.0586 (1.7255)	Prec@1 49.500 (53.996)	Prec@5 76.500 (83.243)
Epoch: [66][660/9018]	Time 0.605 (0.623)	Data 0.001 (0.006)	Loss 1.6648 (1.7251)	Prec@1 53.500 (54.002)	Prec@5 86.500 (83.266)
Epoch: [66][670/9018]	Time 0.627 (0.623)	Data 0.001 (0.006)	Loss 1.6658 (1.7255)	Prec@1 58.000 (53.986)	Prec@5 83.000 (83.258)
Epoch: [66][680/9018]	Time 0.603 (0.623)	Data 0.001 (0.006)	Loss 1.6145 (1.7253)	Prec@1 58.000 (54.004)	Prec@5 85.500 (83.265)
Epoch: [66][690/9018]	Time 0.598 (0.622)	Data 0.001 (0.006)	Loss 1.6444 (1.7253)	Prec@1 60.000 (53.993)	Prec@5 82.000 (83.267)
Epoch: [66][700/9018]	Time 0.617 (0.622)	Data 0.001 (0.006)	Loss 1.6954 (1.7256)	Prec@1 51.500 (53.980)	Prec@5 85.000 (83.268)
Epoch: [66][710/9018]	Time 0.737 (0.622)	Data 0.001 (0.006)	Loss 1.7522 (1.7261)	Prec@1 50.500 (53.973)	Prec@5 83.500 (83.257)
Epoch: [66][720/9018]	Time 0.605 (0.622)	Data 0.001 (0.006)	Loss 1.7074 (1.7261)	Prec@1 53.000 (53.974)	Prec@5 84.000 (83.250)
Epoch: [66][730/9018]	Time 0.622 (0.622)	Data 0.001 (0.006)	Loss 1.9426 (1.7264)	Prec@1 48.500 (53.952)	Prec@5 79.500 (83.252)
Epoch: [66][740/9018]	Time 0.615 (0.622)	Data 0.001 (0.006)	Loss 1.7322 (1.7266)	Prec@1 52.000 (53.948)	Prec@5 85.500 (83.240)
Epoch: [66][750/9018]	Time 0.602 (0.622)	Data 0.011 (0.006)	Loss 1.6452 (1.7261)	Prec@1 54.500 (53.942)	Prec@5 85.500 (83.246)
Epoch: [66][760/9018]	Time 0.715 (0.622)	Data 0.001 (0.005)	Loss 1.5881 (1.7260)	Prec@1 61.000 (53.950)	Prec@5 84.000 (83.250)
Epoch: [66][770/9018]	Time 0.639 (0.622)	Data 0.001 (0.005)	Loss 1.6899 (1.7269)	Prec@1 51.500 (53.946)	Prec@5 81.500 (83.229)
Epoch: [66][780/9018]	Time 0.603 (0.622)	Data 0.001 (0.005)	Loss 1.6660 (1.7268)	Prec@1 56.500 (53.935)	Prec@5 83.500 (83.230)
Epoch: [66][790/9018]	Time 0.599 (0.622)	Data 0.001 (0.005)	Loss 1.7215 (1.7265)	Prec@1 58.000 (53.952)	Prec@5 80.500 (83.221)
Epoch: [66][800/9018]	Time 0.597 (0.622)	Data 0.013 (0.005)	Loss 1.8352 (1.7269)	Prec@1 52.000 (53.940)	Prec@5 81.000 (83.210)
Epoch: [66][810/9018]	Time 0.603 (0.622)	Data 0.001 (0.005)	Loss 1.6515 (1.7266)	Prec@1 61.000 (53.936)	Prec@5 84.000 (83.213)
Epoch: [66][820/9018]	Time 0.624 (0.622)	Data 0.001 (0.005)	Loss 1.6571 (1.7262)	Prec@1 51.500 (53.943)	Prec@5 85.500 (83.231)
Epoch: [66][830/9018]	Time 0.614 (0.622)	Data 0.001 (0.005)	Loss 1.7016 (1.7263)	Prec@1 57.000 (53.944)	Prec@5 86.500 (83.233)
Epoch: [66][840/9018]	Time 0.601 (0.622)	Data 0.001 (0.005)	Loss 1.4959 (1.7260)	Prec@1 55.000 (53.948)	Prec@5 89.500 (83.249)
Epoch: [66][850/9018]	Time 0.607 (0.622)	Data 0.001 (0.005)	Loss 1.5819 (1.7255)	Prec@1 58.500 (53.962)	Prec@5 86.500 (83.255)
Epoch: [66][860/9018]	Time 0.605 (0.622)	Data 0.001 (0.005)	Loss 1.5454 (1.7255)	Prec@1 50.500 (53.936)	Prec@5 85.500 (83.265)
Epoch: [66][870/9018]	Time 0.608 (0.622)	Data 0.001 (0.005)	Loss 1.6563 (1.7252)	Prec@1 54.000 (53.944)	Prec@5 84.500 (83.278)
Epoch: [66][880/9018]	Time 0.629 (0.622)	Data 0.001 (0.005)	Loss 1.7618 (1.7257)	Prec@1 50.500 (53.930)	Prec@5 83.500 (83.270)
Epoch: [66][890/9018]	Time 0.615 (0.621)	Data 0.001 (0.005)	Loss 1.8136 (1.7261)	Prec@1 54.500 (53.936)	Prec@5 81.000 (83.258)
Epoch: [66][900/9018]	Time 0.648 (0.622)	Data 0.001 (0.005)	Loss 1.5642 (1.7261)	Prec@1 59.000 (53.932)	Prec@5 86.000 (83.267)
Epoch: [66][910/9018]	Time 0.606 (0.622)	Data 0.001 (0.005)	Loss 1.7065 (1.7256)	Prec@1 56.500 (53.958)	Prec@5 83.500 (83.263)
Epoch: [66][920/9018]	Time 0.619 (0.621)	Data 0.007 (0.005)	Loss 1.6949 (1.7254)	Prec@1 52.000 (53.967)	Prec@5 83.000 (83.267)
Epoch: [66][930/9018]	Time 0.603 (0.621)	Data 0.001 (0.005)	Loss 1.7318 (1.7253)	Prec@1 54.000 (53.975)	Prec@5 81.500 (83.263)
Epoch: [66][940/9018]	Time 0.607 (0.621)	Data 0.001 (0.005)	Loss 1.8082 (1.7252)	Prec@1 55.000 (53.974)	Prec@5 82.500 (83.270)
Epoch: [66][950/9018]	Time 0.625 (0.621)	Data 0.001 (0.005)	Loss 1.6974 (1.7253)	Prec@1 56.000 (53.979)	Prec@5 83.500 (83.275)
Epoch: [66][960/9018]	Time 0.625 (0.621)	Data 0.001 (0.005)	Loss 1.7765 (1.7253)	Prec@1 49.000 (53.971)	Prec@5 83.500 (83.281)
Epoch: [66][970/9018]	Time 0.615 (0.621)	Data 0.001 (0.005)	Loss 1.7057 (1.7254)	Prec@1 51.000 (53.972)	Prec@5 85.500 (83.281)
Epoch: [66][980/9018]	Time 0.610 (0.621)	Data 0.001 (0.005)	Loss 1.6957 (1.7253)	Prec@1 51.500 (53.975)	Prec@5 84.000 (83.277)
Epoch: [66][990/9018]	Time 0.626 (0.621)	Data 0.001 (0.005)	Loss 1.7779 (1.7260)	Prec@1 49.500 (53.965)	Prec@5 82.500 (83.261)
Epoch: [66][1000/9018]	Time 0.593 (0.621)	Data 0.022 (0.005)	Loss 1.7368 (1.7262)	Prec@1 53.000 (53.951)	Prec@5 83.500 (83.258)
Epoch: [66][1010/9018]	Time 0.621 (0.621)	Data 0.006 (0.005)	Loss 1.8231 (1.7261)	Prec@1 53.000 (53.951)	Prec@5 84.500 (83.269)
Epoch: [66][1020/9018]	Time 0.590 (0.621)	Data 0.001 (0.005)	Loss 1.7542 (1.7262)	Prec@1 55.500 (53.945)	Prec@5 83.000 (83.274)
Epoch: [66][1030/9018]	Time 0.612 (0.621)	Data 0.003 (0.005)	Loss 1.8502 (1.7266)	Prec@1 50.500 (53.941)	Prec@5 82.000 (83.266)
Epoch: [66][1040/9018]	Time 0.742 (0.621)	Data 0.001 (0.005)	Loss 1.8903 (1.7269)	Prec@1 50.500 (53.930)	Prec@5 79.500 (83.249)
Epoch: [66][1050/9018]	Time 0.610 (0.621)	Data 0.001 (0.005)	Loss 1.7858 (1.7272)	Prec@1 53.000 (53.920)	Prec@5 84.000 (83.250)
Epoch: [66][1060/9018]	Time 0.615 (0.621)	Data 0.001 (0.005)	Loss 1.6268 (1.7272)	Prec@1 57.500 (53.927)	Prec@5 80.500 (83.243)
Epoch: [66][1070/9018]	Time 0.627 (0.621)	Data 0.001 (0.005)	Loss 1.6918 (1.7275)	Prec@1 51.000 (53.909)	Prec@5 86.000 (83.237)
Epoch: [66][1080/9018]	Time 0.612 (0.621)	Data 0.001 (0.005)	Loss 1.6343 (1.7279)	Prec@1 55.000 (53.900)	Prec@5 90.000 (83.229)
Epoch: [66][1090/9018]	Time 0.737 (0.621)	Data 0.001 (0.005)	Loss 1.9061 (1.7281)	Prec@1 49.000 (53.896)	Prec@5 78.500 (83.225)
Epoch: [66][1100/9018]	Time 0.602 (0.621)	Data 0.001 (0.005)	Loss 1.8206 (1.7287)	Prec@1 52.500 (53.883)	Prec@5 83.000 (83.215)
Epoch: [66][1110/9018]	Time 0.607 (0.621)	Data 0.001 (0.005)	Loss 1.7319 (1.7287)	Prec@1 55.000 (53.880)	Prec@5 83.000 (83.213)
Epoch: [66][1120/9018]	Time 0.620 (0.621)	Data 0.001 (0.005)	Loss 1.8366 (1.7290)	Prec@1 52.000 (53.875)	Prec@5 83.500 (83.207)
Epoch: [66][1130/9018]	Time 0.591 (0.621)	Data 0.001 (0.005)	Loss 1.6991 (1.7287)	Prec@1 52.500 (53.875)	Prec@5 83.000 (83.212)
Epoch: [66][1140/9018]	Time 0.603 (0.621)	Data 0.001 (0.004)	Loss 1.7516 (1.7282)	Prec@1 50.500 (53.886)	Prec@5 84.500 (83.216)
Epoch: [66][1150/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 1.8581 (1.7285)	Prec@1 47.500 (53.882)	Prec@5 79.000 (83.216)
Epoch: [66][1160/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.7103 (1.7288)	Prec@1 59.000 (53.871)	Prec@5 84.500 (83.218)
Epoch: [66][1170/9018]	Time 0.615 (0.621)	Data 0.001 (0.004)	Loss 1.7166 (1.7285)	Prec@1 54.500 (53.880)	Prec@5 85.000 (83.226)
Epoch: [66][1180/9018]	Time 0.619 (0.621)	Data 0.001 (0.004)	Loss 1.6480 (1.7283)	Prec@1 59.500 (53.892)	Prec@5 83.000 (83.219)
Epoch: [66][1190/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.8566 (1.7284)	Prec@1 53.000 (53.890)	Prec@5 82.000 (83.222)
Epoch: [66][1200/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.6301 (1.7279)	Prec@1 51.000 (53.894)	Prec@5 86.000 (83.231)
Epoch: [66][1210/9018]	Time 0.625 (0.621)	Data 0.013 (0.004)	Loss 1.4151 (1.7278)	Prec@1 63.000 (53.904)	Prec@5 89.000 (83.232)
Epoch: [66][1220/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.6944 (1.7277)	Prec@1 52.000 (53.898)	Prec@5 81.500 (83.236)
Epoch: [66][1230/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.6258 (1.7280)	Prec@1 55.500 (53.902)	Prec@5 86.500 (83.229)
Epoch: [66][1240/9018]	Time 0.597 (0.621)	Data 0.001 (0.004)	Loss 1.5863 (1.7275)	Prec@1 55.500 (53.907)	Prec@5 86.500 (83.236)
Epoch: [66][1250/9018]	Time 0.622 (0.621)	Data 0.001 (0.004)	Loss 1.7995 (1.7278)	Prec@1 53.500 (53.903)	Prec@5 83.500 (83.226)
Epoch: [66][1260/9018]	Time 0.629 (0.621)	Data 0.001 (0.004)	Loss 1.7978 (1.7278)	Prec@1 53.000 (53.898)	Prec@5 80.500 (83.230)
Epoch: [66][1270/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.7268 (1.7280)	Prec@1 53.000 (53.902)	Prec@5 84.500 (83.230)
Epoch: [66][1280/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.4882 (1.7276)	Prec@1 62.000 (53.913)	Prec@5 88.500 (83.235)
Epoch: [66][1290/9018]	Time 0.631 (0.621)	Data 0.001 (0.004)	Loss 1.8123 (1.7277)	Prec@1 50.500 (53.904)	Prec@5 82.500 (83.236)
Epoch: [66][1300/9018]	Time 0.640 (0.621)	Data 0.005 (0.004)	Loss 1.6739 (1.7270)	Prec@1 56.000 (53.921)	Prec@5 84.000 (83.242)
Epoch: [66][1310/9018]	Time 0.600 (0.621)	Data 0.013 (0.004)	Loss 1.7901 (1.7269)	Prec@1 54.000 (53.935)	Prec@5 82.500 (83.244)
Epoch: [66][1320/9018]	Time 0.600 (0.621)	Data 0.001 (0.004)	Loss 1.5516 (1.7267)	Prec@1 55.000 (53.938)	Prec@5 88.500 (83.249)
Epoch: [66][1330/9018]	Time 0.615 (0.621)	Data 0.001 (0.004)	Loss 1.7769 (1.7265)	Prec@1 53.000 (53.946)	Prec@5 83.000 (83.248)
Epoch: [66][1340/9018]	Time 0.614 (0.621)	Data 0.016 (0.004)	Loss 1.6855 (1.7265)	Prec@1 55.000 (53.947)	Prec@5 83.000 (83.247)
Epoch: [66][1350/9018]	Time 0.597 (0.621)	Data 0.001 (0.004)	Loss 1.9239 (1.7263)	Prec@1 47.500 (53.949)	Prec@5 79.500 (83.252)
Epoch: [66][1360/9018]	Time 0.595 (0.621)	Data 0.001 (0.004)	Loss 1.7204 (1.7260)	Prec@1 53.000 (53.950)	Prec@5 85.500 (83.262)
Epoch: [66][1370/9018]	Time 0.747 (0.621)	Data 0.001 (0.004)	Loss 1.7689 (1.7263)	Prec@1 52.000 (53.942)	Prec@5 84.000 (83.262)
Epoch: [66][1380/9018]	Time 0.593 (0.621)	Data 0.001 (0.004)	Loss 1.6502 (1.7265)	Prec@1 53.000 (53.937)	Prec@5 83.000 (83.260)
Epoch: [66][1390/9018]	Time 0.612 (0.621)	Data 0.017 (0.004)	Loss 1.7323 (1.7263)	Prec@1 55.000 (53.938)	Prec@5 83.500 (83.256)
Epoch: [66][1400/9018]	Time 0.621 (0.620)	Data 0.015 (0.004)	Loss 1.5549 (1.7263)	Prec@1 59.500 (53.944)	Prec@5 87.000 (83.264)
Epoch: [66][1410/9018]	Time 0.617 (0.621)	Data 0.001 (0.004)	Loss 1.7519 (1.7266)	Prec@1 55.000 (53.941)	Prec@5 80.500 (83.256)
Epoch: [66][1420/9018]	Time 0.756 (0.621)	Data 0.001 (0.004)	Loss 1.6581 (1.7270)	Prec@1 51.500 (53.934)	Prec@5 87.000 (83.251)
Epoch: [66][1430/9018]	Time 0.597 (0.621)	Data 0.001 (0.004)	Loss 1.7808 (1.7271)	Prec@1 46.500 (53.936)	Prec@5 82.500 (83.246)
Epoch: [66][1440/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.6083 (1.7269)	Prec@1 58.500 (53.936)	Prec@5 86.500 (83.256)
Epoch: [66][1450/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.9521 (1.7272)	Prec@1 54.500 (53.927)	Prec@5 82.000 (83.257)
Epoch: [66][1460/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 1.4149 (1.7266)	Prec@1 60.500 (53.937)	Prec@5 87.500 (83.265)
Epoch: [66][1470/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.7175 (1.7269)	Prec@1 52.000 (53.934)	Prec@5 84.000 (83.258)
Epoch: [66][1480/9018]	Time 0.595 (0.621)	Data 0.001 (0.004)	Loss 1.7791 (1.7270)	Prec@1 56.000 (53.932)	Prec@5 78.000 (83.257)
Epoch: [66][1490/9018]	Time 0.624 (0.621)	Data 0.001 (0.004)	Loss 1.5598 (1.7268)	Prec@1 59.000 (53.946)	Prec@5 88.500 (83.262)
Epoch: [66][1500/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.7731 (1.7269)	Prec@1 51.000 (53.944)	Prec@5 84.500 (83.259)
Epoch: [66][1510/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.7198 (1.7264)	Prec@1 50.000 (53.953)	Prec@5 80.500 (83.266)
Epoch: [66][1520/9018]	Time 0.626 (0.621)	Data 0.001 (0.004)	Loss 1.7536 (1.7262)	Prec@1 51.500 (53.960)	Prec@5 86.000 (83.275)
Epoch: [66][1530/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.8924 (1.7264)	Prec@1 52.500 (53.968)	Prec@5 79.500 (83.266)
Epoch: [66][1540/9018]	Time 0.613 (0.621)	Data 0.003 (0.004)	Loss 1.8518 (1.7265)	Prec@1 54.000 (53.967)	Prec@5 80.000 (83.259)
Epoch: [66][1550/9018]	Time 0.597 (0.621)	Data 0.001 (0.004)	Loss 1.6167 (1.7265)	Prec@1 57.500 (53.973)	Prec@5 85.500 (83.264)
Epoch: [66][1560/9018]	Time 0.594 (0.621)	Data 0.015 (0.004)	Loss 1.8700 (1.7268)	Prec@1 48.500 (53.967)	Prec@5 81.500 (83.261)
Epoch: [66][1570/9018]	Time 0.625 (0.621)	Data 0.001 (0.004)	Loss 1.6635 (1.7267)	Prec@1 53.500 (53.965)	Prec@5 85.000 (83.268)
Epoch: [66][1580/9018]	Time 0.617 (0.621)	Data 0.001 (0.004)	Loss 1.8055 (1.7270)	Prec@1 55.000 (53.955)	Prec@5 81.000 (83.262)
Epoch: [66][1590/9018]	Time 0.608 (0.620)	Data 0.001 (0.004)	Loss 1.6168 (1.7268)	Prec@1 60.500 (53.963)	Prec@5 84.000 (83.260)
Epoch: [66][1600/9018]	Time 0.610 (0.620)	Data 0.001 (0.004)	Loss 1.6615 (1.7262)	Prec@1 55.000 (53.973)	Prec@5 86.500 (83.270)
Epoch: [66][1610/9018]	Time 0.604 (0.620)	Data 0.001 (0.004)	Loss 1.6818 (1.7264)	Prec@1 54.000 (53.962)	Prec@5 81.000 (83.268)
Epoch: [66][1620/9018]	Time 0.624 (0.620)	Data 0.001 (0.004)	Loss 1.6461 (1.7265)	Prec@1 57.000 (53.955)	Prec@5 84.000 (83.266)
Epoch: [66][1630/9018]	Time 0.597 (0.620)	Data 0.001 (0.004)	Loss 1.9790 (1.7267)	Prec@1 47.000 (53.951)	Prec@5 78.500 (83.265)
Epoch: [66][1640/9018]	Time 0.619 (0.620)	Data 0.001 (0.004)	Loss 1.7279 (1.7270)	Prec@1 55.500 (53.947)	Prec@5 79.500 (83.255)
Epoch: [66][1650/9018]	Time 0.591 (0.620)	Data 0.001 (0.004)	Loss 1.5908 (1.7273)	Prec@1 57.000 (53.943)	Prec@5 87.500 (83.252)
Epoch: [66][1660/9018]	Time 0.624 (0.620)	Data 0.001 (0.004)	Loss 1.6729 (1.7271)	Prec@1 59.000 (53.947)	Prec@5 83.500 (83.253)
Epoch: [66][1670/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.7668 (1.7268)	Prec@1 56.000 (53.952)	Prec@5 80.500 (83.259)
Epoch: [66][1680/9018]	Time 0.608 (0.620)	Data 0.001 (0.004)	Loss 1.8400 (1.7264)	Prec@1 53.500 (53.956)	Prec@5 81.000 (83.261)
Epoch: [66][1690/9018]	Time 0.609 (0.620)	Data 0.001 (0.004)	Loss 1.4988 (1.7263)	Prec@1 55.500 (53.954)	Prec@5 88.500 (83.260)
Epoch: [66][1700/9018]	Time 0.729 (0.620)	Data 0.001 (0.004)	Loss 1.8685 (1.7263)	Prec@1 48.000 (53.959)	Prec@5 78.500 (83.257)
Epoch: [66][1710/9018]	Time 0.593 (0.620)	Data 0.001 (0.004)	Loss 1.5421 (1.7264)	Prec@1 58.500 (53.956)	Prec@5 83.500 (83.252)
Epoch: [66][1720/9018]	Time 0.614 (0.620)	Data 0.003 (0.004)	Loss 1.7268 (1.7267)	Prec@1 57.500 (53.956)	Prec@5 85.500 (83.252)
Epoch: [66][1730/9018]	Time 0.610 (0.620)	Data 0.001 (0.004)	Loss 1.8100 (1.7268)	Prec@1 53.500 (53.948)	Prec@5 82.000 (83.247)
Epoch: [66][1740/9018]	Time 0.622 (0.620)	Data 0.016 (0.004)	Loss 1.6572 (1.7267)	Prec@1 51.500 (53.944)	Prec@5 85.500 (83.251)
Epoch: [66][1750/9018]	Time 0.740 (0.621)	Data 0.026 (0.004)	Loss 1.7007 (1.7263)	Prec@1 56.000 (53.949)	Prec@5 84.500 (83.259)
Epoch: [66][1760/9018]	Time 0.604 (0.620)	Data 0.001 (0.004)	Loss 1.6717 (1.7267)	Prec@1 53.000 (53.945)	Prec@5 85.500 (83.251)
Epoch: [66][1770/9018]	Time 0.607 (0.620)	Data 0.001 (0.004)	Loss 1.7677 (1.7268)	Prec@1 53.500 (53.948)	Prec@5 83.000 (83.251)
Epoch: [66][1780/9018]	Time 0.596 (0.620)	Data 0.001 (0.004)	Loss 1.7152 (1.7264)	Prec@1 55.000 (53.954)	Prec@5 83.500 (83.257)
Epoch: [66][1790/9018]	Time 0.607 (0.620)	Data 0.001 (0.004)	Loss 1.5966 (1.7263)	Prec@1 58.500 (53.957)	Prec@5 87.000 (83.262)
Epoch: [66][1800/9018]	Time 0.612 (0.620)	Data 0.001 (0.004)	Loss 1.6921 (1.7263)	Prec@1 55.000 (53.948)	Prec@5 83.500 (83.263)
Epoch: [66][1810/9018]	Time 0.624 (0.620)	Data 0.001 (0.004)	Loss 1.8207 (1.7265)	Prec@1 52.000 (53.950)	Prec@5 84.500 (83.261)
Epoch: [66][1820/9018]	Time 0.622 (0.620)	Data 0.001 (0.004)	Loss 1.7492 (1.7268)	Prec@1 51.500 (53.941)	Prec@5 82.000 (83.256)
Epoch: [66][1830/9018]	Time 0.621 (0.620)	Data 0.006 (0.004)	Loss 1.9182 (1.7273)	Prec@1 47.500 (53.934)	Prec@5 80.500 (83.250)
Epoch: [66][1840/9018]	Time 0.604 (0.620)	Data 0.001 (0.004)	Loss 1.7536 (1.7275)	Prec@1 51.000 (53.926)	Prec@5 83.500 (83.247)
Epoch: [66][1850/9018]	Time 0.635 (0.620)	Data 0.001 (0.004)	Loss 1.7172 (1.7276)	Prec@1 57.000 (53.929)	Prec@5 82.000 (83.247)
Epoch: [66][1860/9018]	Time 0.607 (0.620)	Data 0.008 (0.004)	Loss 1.8609 (1.7278)	Prec@1 46.000 (53.919)	Prec@5 80.500 (83.244)
Epoch: [66][1870/9018]	Time 0.606 (0.620)	Data 0.001 (0.004)	Loss 1.6924 (1.7278)	Prec@1 56.500 (53.924)	Prec@5 83.000 (83.242)
Epoch: [66][1880/9018]	Time 0.622 (0.620)	Data 0.013 (0.004)	Loss 1.7884 (1.7277)	Prec@1 51.500 (53.926)	Prec@5 81.500 (83.240)
Epoch: [66][1890/9018]	Time 0.607 (0.620)	Data 0.001 (0.004)	Loss 1.6682 (1.7281)	Prec@1 55.500 (53.920)	Prec@5 85.500 (83.237)
Epoch: [66][1900/9018]	Time 0.604 (0.620)	Data 0.001 (0.004)	Loss 1.7737 (1.7284)	Prec@1 53.000 (53.923)	Prec@5 83.000 (83.233)
Epoch: [66][1910/9018]	Time 0.630 (0.620)	Data 0.001 (0.004)	Loss 1.8344 (1.7284)	Prec@1 47.500 (53.923)	Prec@5 82.000 (83.235)
Epoch: [66][1920/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.8029 (1.7283)	Prec@1 50.000 (53.920)	Prec@5 84.000 (83.237)
Epoch: [66][1930/9018]	Time 0.615 (0.621)	Data 0.001 (0.004)	Loss 1.8050 (1.7283)	Prec@1 53.500 (53.922)	Prec@5 82.000 (83.238)
Epoch: [66][1940/9018]	Time 0.627 (0.621)	Data 0.001 (0.004)	Loss 1.7627 (1.7284)	Prec@1 52.000 (53.913)	Prec@5 82.500 (83.237)
Epoch: [66][1950/9018]	Time 0.622 (0.621)	Data 0.001 (0.004)	Loss 1.8227 (1.7282)	Prec@1 52.500 (53.912)	Prec@5 80.500 (83.242)
Epoch: [66][1960/9018]	Time 0.624 (0.621)	Data 0.001 (0.004)	Loss 1.8526 (1.7287)	Prec@1 47.500 (53.897)	Prec@5 82.500 (83.236)
Epoch: [66][1970/9018]	Time 0.608 (0.621)	Data 0.001 (0.004)	Loss 1.8852 (1.7288)	Prec@1 53.500 (53.895)	Prec@5 81.500 (83.230)
Epoch: [66][1980/9018]	Time 0.621 (0.621)	Data 0.001 (0.004)	Loss 1.8296 (1.7289)	Prec@1 50.500 (53.889)	Prec@5 82.000 (83.227)
Epoch: [66][1990/9018]	Time 0.612 (0.621)	Data 0.006 (0.004)	Loss 1.9681 (1.7290)	Prec@1 57.000 (53.893)	Prec@5 75.000 (83.222)
Epoch: [66][2000/9018]	Time 0.616 (0.621)	Data 0.001 (0.004)	Loss 1.6987 (1.7287)	Prec@1 56.500 (53.895)	Prec@5 87.500 (83.227)
Epoch: [66][2010/9018]	Time 0.647 (0.621)	Data 0.015 (0.004)	Loss 1.7343 (1.7288)	Prec@1 54.500 (53.890)	Prec@5 81.500 (83.226)
Epoch: [66][2020/9018]	Time 0.649 (0.621)	Data 0.001 (0.004)	Loss 1.9502 (1.7290)	Prec@1 51.000 (53.886)	Prec@5 78.500 (83.219)
Epoch: [66][2030/9018]	Time 0.783 (0.621)	Data 0.001 (0.004)	Loss 1.8038 (1.7291)	Prec@1 48.500 (53.883)	Prec@5 82.500 (83.216)
Epoch: [66][2040/9018]	Time 0.602 (0.621)	Data 0.001 (0.004)	Loss 1.6676 (1.7292)	Prec@1 54.500 (53.887)	Prec@5 86.000 (83.217)
Epoch: [66][2050/9018]	Time 0.592 (0.621)	Data 0.001 (0.004)	Loss 1.6987 (1.7293)	Prec@1 53.500 (53.889)	Prec@5 84.000 (83.215)
Epoch: [66][2060/9018]	Time 0.626 (0.621)	Data 0.001 (0.004)	Loss 1.7971 (1.7290)	Prec@1 54.500 (53.894)	Prec@5 81.000 (83.221)
Epoch: [66][2070/9018]	Time 0.639 (0.621)	Data 0.001 (0.004)	Loss 1.8668 (1.7290)	Prec@1 52.000 (53.898)	Prec@5 84.000 (83.225)
Epoch: [66][2080/9018]	Time 0.737 (0.621)	Data 0.001 (0.004)	Loss 1.7218 (1.7291)	Prec@1 48.000 (53.894)	Prec@5 85.000 (83.226)
Epoch: [66][2090/9018]	Time 0.638 (0.621)	Data 0.015 (0.004)	Loss 1.7627 (1.7289)	Prec@1 57.000 (53.899)	Prec@5 80.500 (83.227)
Epoch: [66][2100/9018]	Time 0.595 (0.621)	Data 0.001 (0.004)	Loss 1.6624 (1.7290)	Prec@1 51.000 (53.897)	Prec@5 84.000 (83.225)
Epoch: [66][2110/9018]	Time 0.639 (0.621)	Data 0.003 (0.004)	Loss 1.7912 (1.7289)	Prec@1 54.500 (53.901)	Prec@5 80.000 (83.228)
Epoch: [66][2120/9018]	Time 0.624 (0.621)	Data 0.014 (0.004)	Loss 1.6891 (1.7288)	Prec@1 54.500 (53.904)	Prec@5 85.500 (83.232)
Epoch: [66][2130/9018]	Time 0.610 (0.621)	Data 0.001 (0.004)	Loss 1.7711 (1.7286)	Prec@1 57.500 (53.913)	Prec@5 79.000 (83.234)
Epoch: [66][2140/9018]	Time 0.598 (0.621)	Data 0.001 (0.004)	Loss 1.6633 (1.7285)	Prec@1 57.000 (53.909)	Prec@5 85.000 (83.239)
Epoch: [66][2150/9018]	Time 0.600 (0.621)	Data 0.001 (0.004)	Loss 1.7123 (1.7285)	Prec@1 52.500 (53.907)	Prec@5 85.500 (83.242)
Epoch: [66][2160/9018]	Time 0.627 (0.621)	Data 0.010 (0.004)	Loss 1.7441 (1.7282)	Prec@1 53.000 (53.909)	Prec@5 84.000 (83.247)
Epoch: [66][2170/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.5784 (1.7283)	Prec@1 56.000 (53.904)	Prec@5 88.000 (83.243)
Epoch: [66][2180/9018]	Time 0.642 (0.621)	Data 0.001 (0.004)	Loss 1.7204 (1.7284)	Prec@1 51.500 (53.907)	Prec@5 82.500 (83.238)
Epoch: [66][2190/9018]	Time 0.611 (0.621)	Data 0.016 (0.004)	Loss 1.8237 (1.7288)	Prec@1 54.500 (53.903)	Prec@5 82.500 (83.231)
Epoch: [66][2200/9018]	Time 0.626 (0.621)	Data 0.001 (0.004)	Loss 1.7669 (1.7287)	Prec@1 49.500 (53.902)	Prec@5 81.500 (83.232)
Epoch: [66][2210/9018]	Time 0.622 (0.621)	Data 0.017 (0.004)	Loss 1.7107 (1.7284)	Prec@1 51.500 (53.912)	Prec@5 81.500 (83.234)
Epoch: [66][2220/9018]	Time 0.646 (0.621)	Data 0.013 (0.004)	Loss 1.7062 (1.7287)	Prec@1 54.500 (53.907)	Prec@5 84.000 (83.228)
Epoch: [66][2230/9018]	Time 0.603 (0.621)	Data 0.001 (0.004)	Loss 1.8855 (1.7287)	Prec@1 50.000 (53.901)	Prec@5 81.500 (83.225)
Epoch: [66][2240/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.6568 (1.7290)	Prec@1 56.500 (53.899)	Prec@5 84.500 (83.219)
Epoch: [66][2250/9018]	Time 0.602 (0.621)	Data 0.001 (0.004)	Loss 1.8344 (1.7290)	Prec@1 52.500 (53.898)	Prec@5 81.500 (83.216)
Epoch: [66][2260/9018]	Time 0.620 (0.621)	Data 0.001 (0.004)	Loss 1.7868 (1.7290)	Prec@1 53.500 (53.899)	Prec@5 82.000 (83.215)
Epoch: [66][2270/9018]	Time 0.614 (0.621)	Data 0.001 (0.004)	Loss 1.5817 (1.7289)	Prec@1 58.500 (53.904)	Prec@5 86.000 (83.214)
Epoch: [66][2280/9018]	Time 0.644 (0.621)	Data 0.001 (0.004)	Loss 1.5832 (1.7289)	Prec@1 57.000 (53.905)	Prec@5 87.000 (83.213)
Epoch: [66][2290/9018]	Time 0.594 (0.621)	Data 0.013 (0.004)	Loss 1.9047 (1.7290)	Prec@1 50.500 (53.899)	Prec@5 75.500 (83.209)
Epoch: [66][2300/9018]	Time 0.610 (0.621)	Data 0.001 (0.004)	Loss 1.8191 (1.7289)	Prec@1 52.500 (53.899)	Prec@5 81.500 (83.210)
Epoch: [66][2310/9018]	Time 0.626 (0.621)	Data 0.001 (0.004)	Loss 1.7270 (1.7291)	Prec@1 54.500 (53.898)	Prec@5 86.000 (83.208)
Epoch: [66][2320/9018]	Time 0.624 (0.621)	Data 0.001 (0.004)	Loss 1.7881 (1.7289)	Prec@1 52.500 (53.904)	Prec@5 82.500 (83.208)
Epoch: [66][2330/9018]	Time 0.632 (0.621)	Data 0.014 (0.004)	Loss 1.7744 (1.7291)	Prec@1 52.500 (53.900)	Prec@5 83.500 (83.208)
Epoch: [66][2340/9018]	Time 0.589 (0.621)	Data 0.001 (0.004)	Loss 1.8449 (1.7291)	Prec@1 48.500 (53.895)	Prec@5 79.500 (83.209)
Epoch: [66][2350/9018]	Time 0.599 (0.621)	Data 0.015 (0.004)	Loss 1.6942 (1.7292)	Prec@1 53.500 (53.891)	Prec@5 84.500 (83.209)
Epoch: [66][2360/9018]	Time 0.764 (0.621)	Data 0.001 (0.004)	Loss 1.7516 (1.7293)	Prec@1 56.000 (53.893)	Prec@5 84.000 (83.206)
Epoch: [66][2370/9018]	Time 0.622 (0.621)	Data 0.002 (0.004)	Loss 1.8851 (1.7293)	Prec@1 52.000 (53.895)	Prec@5 80.500 (83.205)
Epoch: [66][2380/9018]	Time 0.607 (0.621)	Data 0.014 (0.004)	Loss 1.5844 (1.7291)	Prec@1 53.500 (53.898)	Prec@5 86.000 (83.206)
Epoch: [66][2390/9018]	Time 0.619 (0.621)	Data 0.001 (0.004)	Loss 1.7399 (1.7291)	Prec@1 51.500 (53.898)	Prec@5 82.000 (83.206)
Epoch: [66][2400/9018]	Time 0.629 (0.621)	Data 0.001 (0.004)	Loss 1.7691 (1.7290)	Prec@1 57.000 (53.901)	Prec@5 82.000 (83.210)
Epoch: [66][2410/9018]	Time 0.732 (0.621)	Data 0.001 (0.004)	Loss 1.7657 (1.7290)	Prec@1 52.000 (53.904)	Prec@5 80.500 (83.210)
Epoch: [66][2420/9018]	Time 0.616 (0.621)	Data 0.017 (0.004)	Loss 1.9330 (1.7292)	Prec@1 49.000 (53.894)	Prec@5 79.500 (83.210)
Epoch: [66][2430/9018]	Time 0.611 (0.621)	Data 0.001 (0.004)	Loss 1.7181 (1.7292)	Prec@1 52.000 (53.889)	Prec@5 83.500 (83.210)
Epoch: [66][2440/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.6665 (1.7293)	Prec@1 54.000 (53.889)	Prec@5 82.500 (83.207)
Epoch: [66][2450/9018]	Time 0.635 (0.621)	Data 0.001 (0.004)	Loss 1.6021 (1.7290)	Prec@1 59.500 (53.899)	Prec@5 86.500 (83.212)
Epoch: [66][2460/9018]	Time 0.622 (0.621)	Data 0.001 (0.003)	Loss 1.9059 (1.7287)	Prec@1 47.000 (53.907)	Prec@5 78.000 (83.215)
Epoch: [66][2470/9018]	Time 0.641 (0.621)	Data 0.001 (0.003)	Loss 1.8092 (1.7288)	Prec@1 52.000 (53.909)	Prec@5 83.500 (83.216)
Epoch: [66][2480/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.7760 (1.7287)	Prec@1 53.500 (53.912)	Prec@5 81.500 (83.217)
Epoch: [66][2490/9018]	Time 0.609 (0.621)	Data 0.015 (0.003)	Loss 1.7446 (1.7289)	Prec@1 55.500 (53.905)	Prec@5 85.000 (83.214)
Epoch: [66][2500/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.8395 (1.7289)	Prec@1 47.500 (53.906)	Prec@5 82.500 (83.216)
Epoch: [66][2510/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.7190 (1.7286)	Prec@1 51.000 (53.906)	Prec@5 83.000 (83.223)
Epoch: [66][2520/9018]	Time 0.595 (0.621)	Data 0.001 (0.003)	Loss 1.7200 (1.7288)	Prec@1 53.500 (53.906)	Prec@5 82.000 (83.219)
Epoch: [66][2530/9018]	Time 0.622 (0.621)	Data 0.001 (0.003)	Loss 1.9470 (1.7288)	Prec@1 50.500 (53.903)	Prec@5 77.000 (83.216)
Epoch: [66][2540/9018]	Time 0.622 (0.621)	Data 0.001 (0.003)	Loss 1.9133 (1.7289)	Prec@1 48.000 (53.897)	Prec@5 81.000 (83.214)
Epoch: [66][2550/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.9277 (1.7291)	Prec@1 46.000 (53.889)	Prec@5 80.500 (83.209)
Epoch: [66][2560/9018]	Time 0.624 (0.621)	Data 0.001 (0.003)	Loss 1.8115 (1.7288)	Prec@1 51.500 (53.892)	Prec@5 82.500 (83.213)
Epoch: [66][2570/9018]	Time 0.634 (0.621)	Data 0.001 (0.003)	Loss 1.6629 (1.7287)	Prec@1 55.000 (53.892)	Prec@5 83.500 (83.209)
Epoch: [66][2580/9018]	Time 0.669 (0.621)	Data 0.001 (0.003)	Loss 1.7423 (1.7290)	Prec@1 56.000 (53.887)	Prec@5 82.000 (83.205)
Epoch: [66][2590/9018]	Time 0.663 (0.621)	Data 0.001 (0.003)	Loss 1.5223 (1.7289)	Prec@1 58.500 (53.887)	Prec@5 87.500 (83.207)
Epoch: [66][2600/9018]	Time 0.599 (0.621)	Data 0.001 (0.003)	Loss 1.6307 (1.7292)	Prec@1 59.500 (53.881)	Prec@5 83.500 (83.205)
Epoch: [66][2610/9018]	Time 0.631 (0.621)	Data 0.001 (0.003)	Loss 1.7873 (1.7290)	Prec@1 52.000 (53.883)	Prec@5 84.000 (83.209)
Epoch: [66][2620/9018]	Time 0.626 (0.621)	Data 0.001 (0.003)	Loss 1.9525 (1.7290)	Prec@1 50.500 (53.884)	Prec@5 78.500 (83.209)
Epoch: [66][2630/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.5314 (1.7291)	Prec@1 56.500 (53.885)	Prec@5 86.500 (83.207)
Epoch: [66][2640/9018]	Time 0.617 (0.621)	Data 0.002 (0.003)	Loss 1.6533 (1.7291)	Prec@1 56.500 (53.887)	Prec@5 84.500 (83.210)
Epoch: [66][2650/9018]	Time 0.663 (0.622)	Data 0.001 (0.003)	Loss 1.6364 (1.7291)	Prec@1 55.000 (53.884)	Prec@5 86.000 (83.210)
Epoch: [66][2660/9018]	Time 0.632 (0.622)	Data 0.001 (0.003)	Loss 1.8124 (1.7291)	Prec@1 52.500 (53.884)	Prec@5 80.500 (83.210)
Epoch: [66][2670/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.4538 (1.7290)	Prec@1 61.000 (53.887)	Prec@5 87.000 (83.212)
Epoch: [66][2680/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 2.0281 (1.7292)	Prec@1 46.000 (53.884)	Prec@5 80.000 (83.212)
Epoch: [66][2690/9018]	Time 0.726 (0.622)	Data 0.001 (0.003)	Loss 1.5511 (1.7290)	Prec@1 55.500 (53.889)	Prec@5 88.500 (83.213)
Epoch: [66][2700/9018]	Time 0.638 (0.622)	Data 0.001 (0.003)	Loss 1.4812 (1.7288)	Prec@1 58.500 (53.897)	Prec@5 87.500 (83.217)
Epoch: [66][2710/9018]	Time 0.650 (0.622)	Data 0.001 (0.003)	Loss 1.7613 (1.7287)	Prec@1 51.000 (53.893)	Prec@5 81.500 (83.216)
Epoch: [66][2720/9018]	Time 0.627 (0.622)	Data 0.015 (0.003)	Loss 1.7928 (1.7287)	Prec@1 52.500 (53.895)	Prec@5 86.000 (83.218)
Epoch: [66][2730/9018]	Time 0.632 (0.622)	Data 0.001 (0.003)	Loss 1.6296 (1.7286)	Prec@1 54.000 (53.897)	Prec@5 87.000 (83.218)
Epoch: [66][2740/9018]	Time 0.774 (0.622)	Data 0.001 (0.003)	Loss 1.8570 (1.7286)	Prec@1 49.500 (53.896)	Prec@5 82.000 (83.218)
Epoch: [66][2750/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.9057 (1.7287)	Prec@1 51.000 (53.893)	Prec@5 79.500 (83.216)
Epoch: [66][2760/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.6024 (1.7286)	Prec@1 49.500 (53.894)	Prec@5 88.500 (83.217)
Epoch: [66][2770/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.7921 (1.7288)	Prec@1 55.000 (53.889)	Prec@5 82.500 (83.208)
Epoch: [66][2780/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.6579 (1.7290)	Prec@1 56.500 (53.885)	Prec@5 85.000 (83.207)
Epoch: [66][2790/9018]	Time 0.657 (0.622)	Data 0.001 (0.003)	Loss 1.7924 (1.7291)	Prec@1 53.500 (53.883)	Prec@5 82.000 (83.203)
Epoch: [66][2800/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.8097 (1.7292)	Prec@1 50.000 (53.878)	Prec@5 82.000 (83.201)
Epoch: [66][2810/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.7323 (1.7292)	Prec@1 55.500 (53.881)	Prec@5 85.000 (83.202)
Epoch: [66][2820/9018]	Time 0.616 (0.622)	Data 0.014 (0.003)	Loss 1.8456 (1.7291)	Prec@1 54.000 (53.885)	Prec@5 79.500 (83.201)
Epoch: [66][2830/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.6219 (1.7291)	Prec@1 57.500 (53.891)	Prec@5 86.000 (83.198)
Epoch: [66][2840/9018]	Time 0.653 (0.622)	Data 0.001 (0.003)	Loss 1.5840 (1.7292)	Prec@1 57.000 (53.892)	Prec@5 83.500 (83.192)
Epoch: [66][2850/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.9866 (1.7294)	Prec@1 47.000 (53.889)	Prec@5 82.000 (83.190)
Epoch: [66][2860/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.5468 (1.7294)	Prec@1 58.000 (53.887)	Prec@5 85.000 (83.191)
Epoch: [66][2870/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.7868 (1.7293)	Prec@1 54.000 (53.889)	Prec@5 80.500 (83.191)
Epoch: [66][2880/9018]	Time 0.637 (0.622)	Data 0.015 (0.003)	Loss 1.5828 (1.7293)	Prec@1 57.500 (53.889)	Prec@5 84.500 (83.193)
Epoch: [66][2890/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.6589 (1.7292)	Prec@1 51.500 (53.888)	Prec@5 83.500 (83.194)
Epoch: [66][2900/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7651 (1.7292)	Prec@1 49.500 (53.887)	Prec@5 83.000 (83.195)
Epoch: [66][2910/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.7859 (1.7291)	Prec@1 53.000 (53.893)	Prec@5 81.500 (83.197)
Epoch: [66][2920/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7314 (1.7289)	Prec@1 49.500 (53.898)	Prec@5 87.500 (83.201)
Epoch: [66][2930/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.7293 (1.7287)	Prec@1 56.500 (53.901)	Prec@5 83.500 (83.202)
Epoch: [66][2940/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.6636 (1.7289)	Prec@1 57.000 (53.889)	Prec@5 85.000 (83.200)
Epoch: [66][2950/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.7702 (1.7288)	Prec@1 52.000 (53.891)	Prec@5 83.500 (83.198)
Epoch: [66][2960/9018]	Time 0.654 (0.622)	Data 0.001 (0.003)	Loss 1.7280 (1.7289)	Prec@1 53.500 (53.889)	Prec@5 82.500 (83.199)
Epoch: [66][2970/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7333 (1.7288)	Prec@1 57.000 (53.891)	Prec@5 83.000 (83.201)
Epoch: [66][2980/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.7684 (1.7289)	Prec@1 50.500 (53.887)	Prec@5 83.000 (83.201)
Epoch: [66][2990/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.6513 (1.7286)	Prec@1 56.000 (53.897)	Prec@5 87.500 (83.207)
Epoch: [66][3000/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.8627 (1.7286)	Prec@1 50.000 (53.898)	Prec@5 79.000 (83.207)
Epoch: [66][3010/9018]	Time 0.638 (0.622)	Data 0.003 (0.003)	Loss 1.7413 (1.7287)	Prec@1 51.000 (53.897)	Prec@5 83.000 (83.205)
Epoch: [66][3020/9018]	Time 0.767 (0.622)	Data 0.001 (0.003)	Loss 1.7608 (1.7287)	Prec@1 51.000 (53.896)	Prec@5 82.500 (83.204)
Epoch: [66][3030/9018]	Time 0.632 (0.622)	Data 0.001 (0.003)	Loss 1.7754 (1.7287)	Prec@1 51.500 (53.898)	Prec@5 80.500 (83.203)
Epoch: [66][3040/9018]	Time 0.598 (0.622)	Data 0.016 (0.003)	Loss 1.7438 (1.7287)	Prec@1 55.000 (53.895)	Prec@5 83.000 (83.202)
Epoch: [66][3050/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.8123 (1.7287)	Prec@1 51.000 (53.892)	Prec@5 83.500 (83.205)
Epoch: [66][3060/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.7676 (1.7287)	Prec@1 51.000 (53.888)	Prec@5 80.500 (83.204)
Epoch: [66][3070/9018]	Time 0.717 (0.622)	Data 0.001 (0.003)	Loss 1.9349 (1.7290)	Prec@1 49.000 (53.881)	Prec@5 75.500 (83.195)
Epoch: [66][3080/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7836 (1.7289)	Prec@1 56.000 (53.883)	Prec@5 80.500 (83.197)
Epoch: [66][3090/9018]	Time 0.649 (0.622)	Data 0.013 (0.003)	Loss 1.9288 (1.7289)	Prec@1 50.500 (53.883)	Prec@5 78.500 (83.195)
Epoch: [66][3100/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.8015 (1.7288)	Prec@1 50.000 (53.888)	Prec@5 80.000 (83.195)
Epoch: [66][3110/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.8123 (1.7287)	Prec@1 55.000 (53.896)	Prec@5 81.500 (83.197)
Epoch: [66][3120/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.8477 (1.7286)	Prec@1 51.500 (53.895)	Prec@5 79.500 (83.199)
Epoch: [66][3130/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.9231 (1.7288)	Prec@1 49.000 (53.889)	Prec@5 82.000 (83.195)
Epoch: [66][3140/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.7409 (1.7290)	Prec@1 56.000 (53.886)	Prec@5 80.500 (83.189)
Epoch: [66][3150/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7567 (1.7291)	Prec@1 51.500 (53.883)	Prec@5 83.500 (83.187)
Epoch: [66][3160/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.8165 (1.7291)	Prec@1 52.000 (53.883)	Prec@5 80.500 (83.188)
Epoch: [66][3170/9018]	Time 0.646 (0.622)	Data 0.001 (0.003)	Loss 1.6747 (1.7292)	Prec@1 55.000 (53.881)	Prec@5 84.000 (83.188)
Epoch: [66][3180/9018]	Time 0.597 (0.622)	Data 0.014 (0.003)	Loss 1.9341 (1.7294)	Prec@1 49.000 (53.871)	Prec@5 79.000 (83.185)
Epoch: [66][3190/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.8143 (1.7295)	Prec@1 53.500 (53.872)	Prec@5 77.500 (83.181)
Epoch: [66][3200/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.7742 (1.7295)	Prec@1 56.000 (53.868)	Prec@5 83.000 (83.180)
Epoch: [66][3210/9018]	Time 0.617 (0.622)	Data 0.008 (0.003)	Loss 1.8479 (1.7298)	Prec@1 52.500 (53.861)	Prec@5 83.000 (83.174)
Epoch: [66][3220/9018]	Time 0.621 (0.622)	Data 0.015 (0.003)	Loss 1.6620 (1.7298)	Prec@1 58.500 (53.862)	Prec@5 85.500 (83.176)
Epoch: [66][3230/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.6910 (1.7297)	Prec@1 58.000 (53.867)	Prec@5 83.500 (83.173)
Epoch: [66][3240/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.9689 (1.7296)	Prec@1 50.500 (53.864)	Prec@5 81.000 (83.178)
Epoch: [66][3250/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6994 (1.7296)	Prec@1 56.500 (53.864)	Prec@5 81.500 (83.175)
Epoch: [66][3260/9018]	Time 0.652 (0.622)	Data 0.001 (0.003)	Loss 1.5977 (1.7296)	Prec@1 55.500 (53.864)	Prec@5 85.000 (83.177)
Epoch: [66][3270/9018]	Time 0.619 (0.622)	Data 0.010 (0.003)	Loss 1.7817 (1.7297)	Prec@1 54.000 (53.864)	Prec@5 82.500 (83.177)
Epoch: [66][3280/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8016 (1.7298)	Prec@1 55.500 (53.864)	Prec@5 82.000 (83.175)
Epoch: [66][3290/9018]	Time 0.610 (0.622)	Data 0.006 (0.003)	Loss 1.7156 (1.7298)	Prec@1 51.000 (53.863)	Prec@5 85.000 (83.176)
Epoch: [66][3300/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8302 (1.7299)	Prec@1 50.500 (53.863)	Prec@5 83.500 (83.177)
Epoch: [66][3310/9018]	Time 0.651 (0.622)	Data 0.005 (0.003)	Loss 1.7304 (1.7298)	Prec@1 51.000 (53.864)	Prec@5 83.000 (83.179)
Epoch: [66][3320/9018]	Time 0.600 (0.622)	Data 0.016 (0.003)	Loss 1.5167 (1.7296)	Prec@1 59.500 (53.868)	Prec@5 86.000 (83.182)
Epoch: [66][3330/9018]	Time 0.618 (0.622)	Data 0.015 (0.003)	Loss 1.6638 (1.7296)	Prec@1 57.000 (53.869)	Prec@5 81.000 (83.186)
Epoch: [66][3340/9018]	Time 0.622 (0.622)	Data 0.007 (0.003)	Loss 1.9180 (1.7295)	Prec@1 49.500 (53.870)	Prec@5 81.000 (83.183)
Epoch: [66][3350/9018]	Time 0.758 (0.622)	Data 0.001 (0.003)	Loss 1.5578 (1.7296)	Prec@1 55.500 (53.868)	Prec@5 86.500 (83.184)
Epoch: [66][3360/9018]	Time 0.604 (0.622)	Data 0.013 (0.003)	Loss 1.8391 (1.7296)	Prec@1 50.000 (53.868)	Prec@5 82.000 (83.184)
Epoch: [66][3370/9018]	Time 0.634 (0.622)	Data 0.001 (0.003)	Loss 1.7692 (1.7296)	Prec@1 48.000 (53.867)	Prec@5 85.000 (83.183)
Epoch: [66][3380/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.8066 (1.7296)	Prec@1 52.000 (53.865)	Prec@5 85.000 (83.181)
Epoch: [66][3390/9018]	Time 0.661 (0.622)	Data 0.001 (0.003)	Loss 1.9398 (1.7296)	Prec@1 51.000 (53.865)	Prec@5 78.500 (83.184)
Epoch: [66][3400/9018]	Time 0.724 (0.622)	Data 0.001 (0.003)	Loss 1.8175 (1.7294)	Prec@1 51.500 (53.865)	Prec@5 78.500 (83.187)
Epoch: [66][3410/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.5545 (1.7293)	Prec@1 60.500 (53.866)	Prec@5 87.500 (83.191)
Epoch: [66][3420/9018]	Time 0.631 (0.622)	Data 0.006 (0.003)	Loss 1.7478 (1.7293)	Prec@1 54.000 (53.870)	Prec@5 82.500 (83.190)
Epoch: [66][3430/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.6731 (1.7294)	Prec@1 54.000 (53.864)	Prec@5 86.000 (83.191)
Epoch: [66][3440/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.6807 (1.7294)	Prec@1 59.500 (53.865)	Prec@5 84.500 (83.194)
Epoch: [66][3450/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8518 (1.7295)	Prec@1 49.000 (53.868)	Prec@5 81.000 (83.193)
Epoch: [66][3460/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.7371 (1.7294)	Prec@1 55.000 (53.870)	Prec@5 79.000 (83.188)
Epoch: [66][3470/9018]	Time 0.632 (0.623)	Data 0.017 (0.003)	Loss 1.5555 (1.7293)	Prec@1 59.500 (53.873)	Prec@5 86.500 (83.189)
Epoch: [66][3480/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.5109 (1.7292)	Prec@1 56.000 (53.873)	Prec@5 87.000 (83.191)
Epoch: [66][3490/9018]	Time 0.648 (0.623)	Data 0.001 (0.003)	Loss 1.6940 (1.7293)	Prec@1 48.000 (53.870)	Prec@5 87.000 (83.189)
Epoch: [66][3500/9018]	Time 0.660 (0.623)	Data 0.001 (0.003)	Loss 1.8961 (1.7293)	Prec@1 46.000 (53.868)	Prec@5 82.000 (83.185)
Epoch: [66][3510/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6607 (1.7295)	Prec@1 58.000 (53.869)	Prec@5 83.500 (83.183)
Epoch: [66][3520/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7666 (1.7294)	Prec@1 53.000 (53.868)	Prec@5 83.000 (83.183)
Epoch: [66][3530/9018]	Time 0.620 (0.623)	Data 0.014 (0.003)	Loss 1.6364 (1.7294)	Prec@1 55.000 (53.867)	Prec@5 84.000 (83.183)
Epoch: [66][3540/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7318 (1.7295)	Prec@1 55.000 (53.866)	Prec@5 82.000 (83.183)
Epoch: [66][3550/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.9543 (1.7297)	Prec@1 50.500 (53.863)	Prec@5 79.000 (83.180)
Epoch: [66][3560/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.5976 (1.7299)	Prec@1 57.500 (53.859)	Prec@5 85.500 (83.175)
Epoch: [66][3570/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6883 (1.7299)	Prec@1 51.500 (53.863)	Prec@5 86.500 (83.176)
Epoch: [66][3580/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7039 (1.7297)	Prec@1 51.500 (53.866)	Prec@5 83.500 (83.180)
Epoch: [66][3590/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.5581 (1.7296)	Prec@1 56.500 (53.870)	Prec@5 84.500 (83.178)
Epoch: [66][3600/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6451 (1.7294)	Prec@1 59.000 (53.874)	Prec@5 83.000 (83.180)
Epoch: [66][3610/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.5101 (1.7293)	Prec@1 59.000 (53.873)	Prec@5 85.500 (83.180)
Epoch: [66][3620/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7993 (1.7294)	Prec@1 54.000 (53.871)	Prec@5 81.500 (83.178)
Epoch: [66][3630/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.6374 (1.7294)	Prec@1 56.000 (53.868)	Prec@5 84.500 (83.176)
Epoch: [66][3640/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.8045 (1.7295)	Prec@1 53.000 (53.869)	Prec@5 82.500 (83.173)
Epoch: [66][3650/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7775 (1.7294)	Prec@1 54.000 (53.873)	Prec@5 81.000 (83.172)
Epoch: [66][3660/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6531 (1.7293)	Prec@1 55.500 (53.877)	Prec@5 83.000 (83.174)
Epoch: [66][3670/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.6007 (1.7291)	Prec@1 53.000 (53.879)	Prec@5 84.500 (83.177)
Epoch: [66][3680/9018]	Time 0.764 (0.623)	Data 0.001 (0.003)	Loss 1.7272 (1.7290)	Prec@1 55.500 (53.881)	Prec@5 84.000 (83.179)
Epoch: [66][3690/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7974 (1.7290)	Prec@1 56.000 (53.884)	Prec@5 79.000 (83.178)
Epoch: [66][3700/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.6912 (1.7288)	Prec@1 55.500 (53.890)	Prec@5 82.000 (83.180)
Epoch: [66][3710/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.8203 (1.7288)	Prec@1 51.000 (53.896)	Prec@5 83.000 (83.180)
Epoch: [66][3720/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.8435 (1.7288)	Prec@1 52.000 (53.896)	Prec@5 79.500 (83.178)
Epoch: [66][3730/9018]	Time 0.737 (0.623)	Data 0.001 (0.003)	Loss 1.7181 (1.7287)	Prec@1 54.000 (53.896)	Prec@5 80.000 (83.182)
Epoch: [66][3740/9018]	Time 0.639 (0.623)	Data 0.006 (0.003)	Loss 1.6906 (1.7288)	Prec@1 53.500 (53.895)	Prec@5 79.000 (83.182)
Epoch: [66][3750/9018]	Time 0.612 (0.623)	Data 0.009 (0.003)	Loss 1.6970 (1.7287)	Prec@1 53.000 (53.896)	Prec@5 85.000 (83.184)
Epoch: [66][3760/9018]	Time 0.611 (0.623)	Data 0.005 (0.003)	Loss 1.6719 (1.7287)	Prec@1 54.500 (53.894)	Prec@5 81.500 (83.185)
Epoch: [66][3770/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8524 (1.7289)	Prec@1 54.500 (53.893)	Prec@5 80.500 (83.183)
Epoch: [66][3780/9018]	Time 0.634 (0.623)	Data 0.005 (0.003)	Loss 1.5853 (1.7289)	Prec@1 56.000 (53.895)	Prec@5 88.500 (83.182)
Epoch: [66][3790/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7007 (1.7289)	Prec@1 52.000 (53.895)	Prec@5 83.500 (83.182)
Epoch: [66][3800/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.8186 (1.7291)	Prec@1 53.000 (53.890)	Prec@5 83.000 (83.178)
Epoch: [66][3810/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.7916 (1.7292)	Prec@1 53.000 (53.885)	Prec@5 83.000 (83.175)
Epoch: [66][3820/9018]	Time 0.605 (0.623)	Data 0.007 (0.003)	Loss 1.8137 (1.7294)	Prec@1 55.000 (53.880)	Prec@5 82.000 (83.173)
Epoch: [66][3830/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.5903 (1.7295)	Prec@1 56.000 (53.879)	Prec@5 87.000 (83.171)
Epoch: [66][3840/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7069 (1.7295)	Prec@1 53.000 (53.880)	Prec@5 84.000 (83.171)
Epoch: [66][3850/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.6441 (1.7293)	Prec@1 56.000 (53.885)	Prec@5 85.500 (83.176)
Epoch: [66][3860/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7657 (1.7292)	Prec@1 51.000 (53.887)	Prec@5 82.500 (83.179)
Epoch: [66][3870/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7700 (1.7291)	Prec@1 54.000 (53.885)	Prec@5 84.000 (83.179)
Epoch: [66][3880/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8398 (1.7292)	Prec@1 48.000 (53.883)	Prec@5 81.000 (83.177)
Epoch: [66][3890/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.6972 (1.7292)	Prec@1 55.500 (53.884)	Prec@5 83.500 (83.176)
Epoch: [66][3900/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.8326 (1.7290)	Prec@1 53.000 (53.890)	Prec@5 80.000 (83.176)
Epoch: [66][3910/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.4974 (1.7291)	Prec@1 61.500 (53.889)	Prec@5 85.000 (83.172)
Epoch: [66][3920/9018]	Time 0.597 (0.623)	Data 0.016 (0.003)	Loss 1.6492 (1.7289)	Prec@1 58.000 (53.895)	Prec@5 84.000 (83.175)
Epoch: [66][3930/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.7678 (1.7292)	Prec@1 55.000 (53.891)	Prec@5 81.000 (83.169)
Epoch: [66][3940/9018]	Time 0.600 (0.623)	Data 0.014 (0.003)	Loss 1.5631 (1.7292)	Prec@1 58.000 (53.889)	Prec@5 88.500 (83.169)
Epoch: [66][3950/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7796 (1.7292)	Prec@1 54.000 (53.888)	Prec@5 76.500 (83.165)
Epoch: [66][3960/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7511 (1.7291)	Prec@1 53.000 (53.892)	Prec@5 83.000 (83.167)
Epoch: [66][3970/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7378 (1.7291)	Prec@1 51.000 (53.895)	Prec@5 85.500 (83.168)
Epoch: [66][3980/9018]	Time 0.651 (0.623)	Data 0.001 (0.003)	Loss 1.7726 (1.7290)	Prec@1 52.500 (53.896)	Prec@5 83.500 (83.166)
Epoch: [66][3990/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8623 (1.7294)	Prec@1 47.000 (53.888)	Prec@5 85.000 (83.162)
Epoch: [66][4000/9018]	Time 0.621 (0.623)	Data 0.002 (0.003)	Loss 1.5425 (1.7293)	Prec@1 56.000 (53.888)	Prec@5 87.000 (83.164)
Epoch: [66][4010/9018]	Time 0.724 (0.623)	Data 0.001 (0.003)	Loss 1.6432 (1.7294)	Prec@1 57.000 (53.886)	Prec@5 85.000 (83.162)
Epoch: [66][4020/9018]	Time 0.646 (0.623)	Data 0.028 (0.003)	Loss 1.5224 (1.7294)	Prec@1 54.500 (53.888)	Prec@5 87.000 (83.163)
Epoch: [66][4030/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.8079 (1.7294)	Prec@1 51.500 (53.885)	Prec@5 81.000 (83.161)
Epoch: [66][4040/9018]	Time 0.606 (0.623)	Data 0.017 (0.003)	Loss 1.5520 (1.7293)	Prec@1 58.500 (53.888)	Prec@5 86.000 (83.163)
Epoch: [66][4050/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7932 (1.7294)	Prec@1 53.500 (53.883)	Prec@5 83.000 (83.162)
Epoch: [66][4060/9018]	Time 0.791 (0.623)	Data 0.001 (0.003)	Loss 1.6439 (1.7294)	Prec@1 53.500 (53.880)	Prec@5 84.500 (83.160)
Epoch: [66][4070/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7445 (1.7295)	Prec@1 54.000 (53.883)	Prec@5 83.000 (83.159)
Epoch: [66][4080/9018]	Time 0.619 (0.623)	Data 0.013 (0.003)	Loss 1.6888 (1.7295)	Prec@1 60.000 (53.883)	Prec@5 84.000 (83.158)
Epoch: [66][4090/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6411 (1.7295)	Prec@1 54.000 (53.882)	Prec@5 83.000 (83.155)
Epoch: [66][4100/9018]	Time 0.626 (0.623)	Data 0.005 (0.003)	Loss 1.6768 (1.7295)	Prec@1 53.500 (53.881)	Prec@5 80.500 (83.154)
Epoch: [66][4110/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7839 (1.7296)	Prec@1 54.000 (53.881)	Prec@5 84.000 (83.153)
Epoch: [66][4120/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6771 (1.7295)	Prec@1 55.000 (53.884)	Prec@5 86.000 (83.156)
Epoch: [66][4130/9018]	Time 0.666 (0.623)	Data 0.001 (0.003)	Loss 1.7818 (1.7295)	Prec@1 48.000 (53.879)	Prec@5 80.500 (83.153)
Epoch: [66][4140/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6958 (1.7296)	Prec@1 55.000 (53.880)	Prec@5 86.000 (83.155)
Epoch: [66][4150/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.5705 (1.7297)	Prec@1 56.000 (53.877)	Prec@5 83.500 (83.153)
Epoch: [66][4160/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.7042 (1.7296)	Prec@1 54.500 (53.879)	Prec@5 84.000 (83.154)
Epoch: [66][4170/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.6243 (1.7295)	Prec@1 56.500 (53.883)	Prec@5 84.500 (83.155)
Epoch: [66][4180/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.4840 (1.7293)	Prec@1 61.000 (53.888)	Prec@5 87.000 (83.160)
Epoch: [66][4190/9018]	Time 0.646 (0.623)	Data 0.009 (0.003)	Loss 1.7061 (1.7294)	Prec@1 57.000 (53.885)	Prec@5 84.000 (83.157)
Epoch: [66][4200/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.5209 (1.7293)	Prec@1 56.000 (53.888)	Prec@5 89.000 (83.158)
Epoch: [66][4210/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.8804 (1.7292)	Prec@1 51.000 (53.888)	Prec@5 79.500 (83.159)
Epoch: [66][4220/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7604 (1.7291)	Prec@1 55.500 (53.892)	Prec@5 82.500 (83.158)
Epoch: [66][4230/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.6277 (1.7291)	Prec@1 53.500 (53.889)	Prec@5 85.000 (83.158)
Epoch: [66][4240/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7740 (1.7291)	Prec@1 55.000 (53.891)	Prec@5 80.000 (83.158)
Epoch: [66][4250/9018]	Time 0.637 (0.623)	Data 0.002 (0.003)	Loss 1.6553 (1.7291)	Prec@1 57.000 (53.891)	Prec@5 84.500 (83.160)
Epoch: [66][4260/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.5054 (1.7290)	Prec@1 58.500 (53.893)	Prec@5 84.500 (83.161)
Epoch: [66][4270/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7951 (1.7290)	Prec@1 54.000 (53.892)	Prec@5 82.000 (83.162)
Epoch: [66][4280/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.5307 (1.7290)	Prec@1 61.000 (53.896)	Prec@5 85.500 (83.162)
Epoch: [66][4290/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.6620 (1.7290)	Prec@1 55.000 (53.896)	Prec@5 85.500 (83.164)
Epoch: [66][4300/9018]	Time 0.616 (0.623)	Data 0.017 (0.003)	Loss 1.8046 (1.7288)	Prec@1 50.000 (53.899)	Prec@5 80.500 (83.165)
Epoch: [66][4310/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.7541 (1.7290)	Prec@1 53.500 (53.896)	Prec@5 84.500 (83.164)
Epoch: [66][4320/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7197 (1.7290)	Prec@1 54.000 (53.896)	Prec@5 82.500 (83.162)
Epoch: [66][4330/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7640 (1.7291)	Prec@1 54.500 (53.896)	Prec@5 80.000 (83.158)
Epoch: [66][4340/9018]	Time 0.778 (0.623)	Data 0.001 (0.003)	Loss 1.9318 (1.7293)	Prec@1 52.000 (53.894)	Prec@5 80.500 (83.153)
Epoch: [66][4350/9018]	Time 0.618 (0.623)	Data 0.014 (0.003)	Loss 1.8354 (1.7294)	Prec@1 50.500 (53.893)	Prec@5 81.000 (83.151)
Epoch: [66][4360/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.8386 (1.7296)	Prec@1 51.500 (53.889)	Prec@5 81.500 (83.146)
Epoch: [66][4370/9018]	Time 0.635 (0.623)	Data 0.005 (0.003)	Loss 1.4977 (1.7298)	Prec@1 59.500 (53.887)	Prec@5 87.500 (83.142)
Epoch: [66][4380/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7038 (1.7299)	Prec@1 51.500 (53.886)	Prec@5 85.500 (83.140)
Epoch: [66][4390/9018]	Time 0.757 (0.623)	Data 0.001 (0.003)	Loss 1.6501 (1.7300)	Prec@1 56.000 (53.885)	Prec@5 84.000 (83.141)
Epoch: [66][4400/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.6407 (1.7300)	Prec@1 55.000 (53.885)	Prec@5 84.500 (83.140)
Epoch: [66][4410/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7914 (1.7300)	Prec@1 52.000 (53.885)	Prec@5 80.000 (83.141)
Epoch: [66][4420/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7770 (1.7300)	Prec@1 55.000 (53.885)	Prec@5 82.000 (83.142)
Epoch: [66][4430/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6662 (1.7301)	Prec@1 54.500 (53.883)	Prec@5 85.500 (83.143)
Epoch: [66][4440/9018]	Time 0.629 (0.623)	Data 0.004 (0.003)	Loss 1.6568 (1.7300)	Prec@1 54.000 (53.882)	Prec@5 87.000 (83.143)
Epoch: [66][4450/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7357 (1.7300)	Prec@1 57.000 (53.884)	Prec@5 79.000 (83.141)
Epoch: [66][4460/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6515 (1.7301)	Prec@1 59.000 (53.884)	Prec@5 82.500 (83.139)
Epoch: [66][4470/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.5635 (1.7300)	Prec@1 61.000 (53.889)	Prec@5 85.000 (83.139)
Epoch: [66][4480/9018]	Time 0.612 (0.623)	Data 0.015 (0.003)	Loss 1.6898 (1.7300)	Prec@1 56.500 (53.890)	Prec@5 85.000 (83.139)
Epoch: [66][4490/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.9680 (1.7299)	Prec@1 52.000 (53.891)	Prec@5 78.000 (83.140)
Epoch: [66][4500/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7241 (1.7301)	Prec@1 51.000 (53.890)	Prec@5 83.500 (83.136)
Epoch: [66][4510/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7010 (1.7302)	Prec@1 54.000 (53.891)	Prec@5 83.500 (83.136)
Epoch: [66][4520/9018]	Time 0.606 (0.623)	Data 0.006 (0.003)	Loss 1.8403 (1.7302)	Prec@1 54.500 (53.893)	Prec@5 81.500 (83.134)
Epoch: [66][4530/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.5802 (1.7301)	Prec@1 54.500 (53.899)	Prec@5 86.500 (83.135)
Epoch: [66][4540/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.9060 (1.7302)	Prec@1 46.000 (53.897)	Prec@5 79.000 (83.132)
Epoch: [66][4550/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7322 (1.7302)	Prec@1 51.000 (53.898)	Prec@5 83.000 (83.132)
Epoch: [66][4560/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5360 (1.7302)	Prec@1 56.000 (53.896)	Prec@5 87.000 (83.132)
Epoch: [66][4570/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6226 (1.7300)	Prec@1 56.500 (53.904)	Prec@5 84.500 (83.133)
Epoch: [66][4580/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.5867 (1.7300)	Prec@1 54.000 (53.903)	Prec@5 85.500 (83.136)
Epoch: [66][4590/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.8643 (1.7300)	Prec@1 50.000 (53.901)	Prec@5 83.500 (83.137)
Epoch: [66][4600/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7736 (1.7302)	Prec@1 53.500 (53.895)	Prec@5 81.500 (83.133)
Epoch: [66][4610/9018]	Time 0.658 (0.623)	Data 0.001 (0.003)	Loss 1.9695 (1.7300)	Prec@1 49.500 (53.900)	Prec@5 79.500 (83.137)
Epoch: [66][4620/9018]	Time 0.609 (0.623)	Data 0.006 (0.003)	Loss 1.6637 (1.7301)	Prec@1 52.000 (53.898)	Prec@5 82.000 (83.133)
Epoch: [66][4630/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.5851 (1.7300)	Prec@1 58.000 (53.899)	Prec@5 84.000 (83.134)
Epoch: [66][4640/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.7654 (1.7300)	Prec@1 57.500 (53.898)	Prec@5 78.000 (83.131)
Epoch: [66][4650/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7450 (1.7300)	Prec@1 54.000 (53.899)	Prec@5 86.500 (83.133)
Epoch: [66][4660/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7587 (1.7300)	Prec@1 55.000 (53.900)	Prec@5 80.500 (83.133)
Epoch: [66][4670/9018]	Time 0.800 (0.623)	Data 0.002 (0.003)	Loss 1.6408 (1.7300)	Prec@1 57.500 (53.903)	Prec@5 87.000 (83.135)
Epoch: [66][4680/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8775 (1.7302)	Prec@1 49.500 (53.903)	Prec@5 80.000 (83.131)
Epoch: [66][4690/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.7743 (1.7300)	Prec@1 52.500 (53.904)	Prec@5 79.500 (83.133)
Epoch: [66][4700/9018]	Time 0.621 (0.623)	Data 0.015 (0.003)	Loss 1.7173 (1.7301)	Prec@1 53.000 (53.904)	Prec@5 82.500 (83.133)
Epoch: [66][4710/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7262 (1.7301)	Prec@1 49.000 (53.902)	Prec@5 85.500 (83.132)
Epoch: [66][4720/9018]	Time 0.787 (0.623)	Data 0.004 (0.003)	Loss 1.5915 (1.7300)	Prec@1 58.500 (53.904)	Prec@5 85.000 (83.133)
Epoch: [66][4730/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7480 (1.7300)	Prec@1 52.000 (53.904)	Prec@5 83.000 (83.134)
Epoch: [66][4740/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7355 (1.7300)	Prec@1 52.500 (53.904)	Prec@5 81.500 (83.134)
Epoch: [66][4750/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7659 (1.7301)	Prec@1 50.500 (53.902)	Prec@5 80.000 (83.131)
Epoch: [66][4760/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7361 (1.7302)	Prec@1 50.000 (53.903)	Prec@5 84.500 (83.132)
Epoch: [66][4770/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.6099 (1.7301)	Prec@1 56.500 (53.904)	Prec@5 83.500 (83.134)
Epoch: [66][4780/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7347 (1.7301)	Prec@1 55.000 (53.902)	Prec@5 81.500 (83.135)
Epoch: [66][4790/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.9791 (1.7302)	Prec@1 46.000 (53.895)	Prec@5 81.500 (83.134)
Epoch: [66][4800/9018]	Time 0.614 (0.623)	Data 0.017 (0.003)	Loss 1.7690 (1.7301)	Prec@1 51.000 (53.900)	Prec@5 83.500 (83.134)
Epoch: [66][4810/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 2.0249 (1.7301)	Prec@1 47.500 (53.901)	Prec@5 76.000 (83.134)
Epoch: [66][4820/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7289 (1.7302)	Prec@1 49.500 (53.896)	Prec@5 82.500 (83.133)
Epoch: [66][4830/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.8757 (1.7302)	Prec@1 54.500 (53.897)	Prec@5 78.500 (83.132)
Epoch: [66][4840/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8059 (1.7302)	Prec@1 56.000 (53.899)	Prec@5 83.000 (83.133)
Epoch: [66][4850/9018]	Time 0.610 (0.623)	Data 0.010 (0.003)	Loss 1.7315 (1.7301)	Prec@1 53.500 (53.899)	Prec@5 83.000 (83.134)
Epoch: [66][4860/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.5041 (1.7300)	Prec@1 58.500 (53.903)	Prec@5 87.500 (83.136)
Epoch: [66][4870/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6807 (1.7302)	Prec@1 58.000 (53.900)	Prec@5 81.000 (83.130)
Epoch: [66][4880/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6344 (1.7301)	Prec@1 52.500 (53.902)	Prec@5 85.500 (83.132)
Epoch: [66][4890/9018]	Time 0.665 (0.623)	Data 0.001 (0.003)	Loss 1.8233 (1.7302)	Prec@1 50.000 (53.900)	Prec@5 81.000 (83.131)
Epoch: [66][4900/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7069 (1.7302)	Prec@1 57.500 (53.900)	Prec@5 80.000 (83.130)
Epoch: [66][4910/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.5213 (1.7301)	Prec@1 58.500 (53.903)	Prec@5 86.500 (83.130)
Epoch: [66][4920/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6883 (1.7301)	Prec@1 58.000 (53.903)	Prec@5 83.000 (83.130)
Epoch: [66][4930/9018]	Time 0.617 (0.623)	Data 0.007 (0.003)	Loss 1.7483 (1.7302)	Prec@1 56.000 (53.901)	Prec@5 85.000 (83.130)
Epoch: [66][4940/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6319 (1.7301)	Prec@1 52.500 (53.903)	Prec@5 85.000 (83.131)
Epoch: [66][4950/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8844 (1.7301)	Prec@1 52.500 (53.903)	Prec@5 82.000 (83.134)
Epoch: [66][4960/9018]	Time 0.622 (0.623)	Data 0.016 (0.003)	Loss 1.9209 (1.7302)	Prec@1 48.000 (53.903)	Prec@5 79.500 (83.133)
Epoch: [66][4970/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 2.0016 (1.7303)	Prec@1 52.500 (53.901)	Prec@5 77.500 (83.129)
Epoch: [66][4980/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8143 (1.7303)	Prec@1 51.000 (53.903)	Prec@5 84.000 (83.128)
Epoch: [66][4990/9018]	Time 0.630 (0.623)	Data 0.014 (0.003)	Loss 1.7306 (1.7303)	Prec@1 54.500 (53.902)	Prec@5 82.500 (83.128)
Epoch: [66][5000/9018]	Time 0.765 (0.623)	Data 0.001 (0.003)	Loss 1.7623 (1.7303)	Prec@1 51.500 (53.899)	Prec@5 85.000 (83.128)
Epoch: [66][5010/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6644 (1.7301)	Prec@1 56.000 (53.904)	Prec@5 84.000 (83.131)
Epoch: [66][5020/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6328 (1.7300)	Prec@1 56.000 (53.905)	Prec@5 86.000 (83.132)
Epoch: [66][5030/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.6719 (1.7300)	Prec@1 58.500 (53.905)	Prec@5 86.000 (83.132)
Epoch: [66][5040/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7126 (1.7301)	Prec@1 54.500 (53.905)	Prec@5 85.500 (83.131)
Epoch: [66][5050/9018]	Time 0.734 (0.623)	Data 0.001 (0.003)	Loss 1.7656 (1.7301)	Prec@1 54.000 (53.908)	Prec@5 82.000 (83.130)
Epoch: [66][5060/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7733 (1.7302)	Prec@1 50.000 (53.905)	Prec@5 83.000 (83.128)
Epoch: [66][5070/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.5774 (1.7301)	Prec@1 58.500 (53.908)	Prec@5 85.500 (83.128)
Epoch: [66][5080/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8432 (1.7301)	Prec@1 56.000 (53.907)	Prec@5 80.000 (83.126)
Epoch: [66][5090/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5912 (1.7301)	Prec@1 59.500 (53.908)	Prec@5 86.000 (83.126)
Epoch: [66][5100/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8959 (1.7301)	Prec@1 51.000 (53.910)	Prec@5 79.500 (83.128)
Epoch: [66][5110/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7475 (1.7301)	Prec@1 56.000 (53.911)	Prec@5 81.500 (83.126)
Epoch: [66][5120/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.6333 (1.7300)	Prec@1 57.500 (53.911)	Prec@5 83.000 (83.128)
Epoch: [66][5130/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6529 (1.7300)	Prec@1 54.500 (53.910)	Prec@5 84.500 (83.127)
Epoch: [66][5140/9018]	Time 0.604 (0.623)	Data 0.016 (0.003)	Loss 1.6024 (1.7299)	Prec@1 58.000 (53.911)	Prec@5 85.500 (83.129)
Epoch: [66][5150/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.6883 (1.7300)	Prec@1 54.500 (53.908)	Prec@5 86.000 (83.128)
Epoch: [66][5160/9018]	Time 0.635 (0.623)	Data 0.014 (0.003)	Loss 1.7919 (1.7300)	Prec@1 51.000 (53.908)	Prec@5 84.000 (83.127)
Epoch: [66][5170/9018]	Time 0.610 (0.623)	Data 0.005 (0.003)	Loss 1.9535 (1.7300)	Prec@1 52.000 (53.909)	Prec@5 82.500 (83.127)
Epoch: [66][5180/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.4768 (1.7301)	Prec@1 60.000 (53.906)	Prec@5 86.000 (83.126)
Epoch: [66][5190/9018]	Time 0.624 (0.623)	Data 0.016 (0.003)	Loss 1.8247 (1.7301)	Prec@1 51.000 (53.903)	Prec@5 82.000 (83.126)
Epoch: [66][5200/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.9342 (1.7302)	Prec@1 53.500 (53.901)	Prec@5 77.000 (83.126)
Epoch: [66][5210/9018]	Time 0.609 (0.623)	Data 0.013 (0.003)	Loss 1.7042 (1.7302)	Prec@1 54.500 (53.902)	Prec@5 86.000 (83.125)
Epoch: [66][5220/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7309 (1.7303)	Prec@1 58.500 (53.900)	Prec@5 80.500 (83.123)
Epoch: [66][5230/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7730 (1.7304)	Prec@1 53.000 (53.895)	Prec@5 82.500 (83.120)
Epoch: [66][5240/9018]	Time 0.600 (0.623)	Data 0.002 (0.003)	Loss 1.8300 (1.7304)	Prec@1 51.500 (53.894)	Prec@5 81.500 (83.121)
Epoch: [66][5250/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7078 (1.7304)	Prec@1 53.000 (53.893)	Prec@5 83.000 (83.119)
Epoch: [66][5260/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.9222 (1.7305)	Prec@1 46.000 (53.892)	Prec@5 80.500 (83.120)
Epoch: [66][5270/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6504 (1.7304)	Prec@1 58.500 (53.894)	Prec@5 85.500 (83.121)
Epoch: [66][5280/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6677 (1.7304)	Prec@1 52.000 (53.893)	Prec@5 83.500 (83.123)
Epoch: [66][5290/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7283 (1.7303)	Prec@1 57.000 (53.892)	Prec@5 84.500 (83.125)
Epoch: [66][5300/9018]	Time 0.617 (0.623)	Data 0.014 (0.003)	Loss 1.6327 (1.7303)	Prec@1 54.500 (53.895)	Prec@5 85.000 (83.126)
Epoch: [66][5310/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7056 (1.7303)	Prec@1 55.500 (53.896)	Prec@5 80.500 (83.126)
Epoch: [66][5320/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7203 (1.7302)	Prec@1 54.500 (53.898)	Prec@5 82.000 (83.125)
Epoch: [66][5330/9018]	Time 0.721 (0.623)	Data 0.013 (0.003)	Loss 1.6577 (1.7302)	Prec@1 55.000 (53.901)	Prec@5 84.000 (83.125)
Epoch: [66][5340/9018]	Time 0.605 (0.623)	Data 0.013 (0.003)	Loss 1.7204 (1.7301)	Prec@1 52.000 (53.903)	Prec@5 85.000 (83.126)
Epoch: [66][5350/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6401 (1.7302)	Prec@1 55.500 (53.901)	Prec@5 83.000 (83.123)
Epoch: [66][5360/9018]	Time 0.623 (0.623)	Data 0.003 (0.003)	Loss 1.8597 (1.7302)	Prec@1 52.000 (53.900)	Prec@5 80.000 (83.122)
Epoch: [66][5370/9018]	Time 0.618 (0.623)	Data 0.013 (0.003)	Loss 1.7515 (1.7302)	Prec@1 54.000 (53.900)	Prec@5 79.500 (83.122)
Epoch: [66][5380/9018]	Time 0.769 (0.623)	Data 0.001 (0.003)	Loss 1.8568 (1.7303)	Prec@1 53.000 (53.901)	Prec@5 79.000 (83.120)
Epoch: [66][5390/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6412 (1.7302)	Prec@1 56.000 (53.901)	Prec@5 85.500 (83.121)
Epoch: [66][5400/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7519 (1.7302)	Prec@1 55.000 (53.900)	Prec@5 83.000 (83.122)
Epoch: [66][5410/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.5563 (1.7302)	Prec@1 56.000 (53.899)	Prec@5 86.500 (83.123)
Epoch: [66][5420/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7867 (1.7301)	Prec@1 52.000 (53.901)	Prec@5 82.500 (83.122)
Epoch: [66][5430/9018]	Time 0.645 (0.623)	Data 0.001 (0.003)	Loss 1.6709 (1.7301)	Prec@1 57.000 (53.900)	Prec@5 82.500 (83.120)
Epoch: [66][5440/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6883 (1.7301)	Prec@1 58.500 (53.899)	Prec@5 84.500 (83.120)
Epoch: [66][5450/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6312 (1.7301)	Prec@1 53.000 (53.898)	Prec@5 83.000 (83.120)
Epoch: [66][5460/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.5512 (1.7301)	Prec@1 58.000 (53.899)	Prec@5 86.000 (83.121)
Epoch: [66][5470/9018]	Time 0.632 (0.623)	Data 0.006 (0.003)	Loss 1.8416 (1.7300)	Prec@1 50.000 (53.901)	Prec@5 80.000 (83.122)
Epoch: [66][5480/9018]	Time 0.651 (0.623)	Data 0.001 (0.003)	Loss 1.6683 (1.7300)	Prec@1 56.500 (53.902)	Prec@5 85.000 (83.121)
Epoch: [66][5490/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.9011 (1.7301)	Prec@1 48.500 (53.899)	Prec@5 79.500 (83.120)
Epoch: [66][5500/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.5980 (1.7301)	Prec@1 55.000 (53.900)	Prec@5 85.000 (83.120)
Epoch: [66][5510/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.7529 (1.7301)	Prec@1 57.000 (53.902)	Prec@5 83.000 (83.120)
Epoch: [66][5520/9018]	Time 0.630 (0.623)	Data 0.012 (0.003)	Loss 1.8476 (1.7301)	Prec@1 49.500 (53.903)	Prec@5 82.500 (83.118)
Epoch: [66][5530/9018]	Time 0.663 (0.623)	Data 0.001 (0.003)	Loss 1.8084 (1.7302)	Prec@1 56.000 (53.901)	Prec@5 79.000 (83.115)
Epoch: [66][5540/9018]	Time 0.618 (0.623)	Data 0.007 (0.003)	Loss 1.6088 (1.7301)	Prec@1 58.500 (53.906)	Prec@5 82.500 (83.118)
Epoch: [66][5550/9018]	Time 0.619 (0.623)	Data 0.014 (0.003)	Loss 1.7086 (1.7301)	Prec@1 58.000 (53.906)	Prec@5 82.000 (83.115)
Epoch: [66][5560/9018]	Time 0.620 (0.623)	Data 0.016 (0.003)	Loss 1.7134 (1.7302)	Prec@1 52.000 (53.903)	Prec@5 85.000 (83.116)
Epoch: [66][5570/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7292 (1.7301)	Prec@1 47.000 (53.901)	Prec@5 85.000 (83.116)
Epoch: [66][5580/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.4569 (1.7301)	Prec@1 62.000 (53.902)	Prec@5 87.000 (83.116)
Epoch: [66][5590/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.9907 (1.7303)	Prec@1 50.000 (53.901)	Prec@5 78.000 (83.114)
Epoch: [66][5600/9018]	Time 0.605 (0.623)	Data 0.016 (0.003)	Loss 1.7525 (1.7303)	Prec@1 51.500 (53.900)	Prec@5 82.500 (83.113)
Epoch: [66][5610/9018]	Time 0.619 (0.623)	Data 0.002 (0.003)	Loss 1.6591 (1.7302)	Prec@1 55.000 (53.904)	Prec@5 83.000 (83.115)
Epoch: [66][5620/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.5854 (1.7302)	Prec@1 58.500 (53.905)	Prec@5 87.500 (83.116)
Epoch: [66][5630/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.6723 (1.7302)	Prec@1 58.500 (53.906)	Prec@5 81.500 (83.114)
Epoch: [66][5640/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6991 (1.7302)	Prec@1 55.000 (53.906)	Prec@5 85.000 (83.115)
Epoch: [66][5650/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6108 (1.7301)	Prec@1 62.000 (53.909)	Prec@5 81.000 (83.114)
Epoch: [66][5660/9018]	Time 0.722 (0.623)	Data 0.015 (0.003)	Loss 2.0277 (1.7302)	Prec@1 48.500 (53.907)	Prec@5 79.000 (83.113)
Epoch: [66][5670/9018]	Time 0.611 (0.623)	Data 0.016 (0.003)	Loss 1.8422 (1.7302)	Prec@1 52.000 (53.908)	Prec@5 81.500 (83.113)
Epoch: [66][5680/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.6758 (1.7302)	Prec@1 54.000 (53.908)	Prec@5 82.500 (83.112)
Epoch: [66][5690/9018]	Time 0.626 (0.623)	Data 0.016 (0.003)	Loss 1.6866 (1.7302)	Prec@1 52.000 (53.909)	Prec@5 85.500 (83.112)
Epoch: [66][5700/9018]	Time 0.617 (0.623)	Data 0.016 (0.003)	Loss 1.6770 (1.7301)	Prec@1 51.000 (53.912)	Prec@5 89.500 (83.114)
Epoch: [66][5710/9018]	Time 0.755 (0.623)	Data 0.014 (0.003)	Loss 1.6152 (1.7301)	Prec@1 54.500 (53.915)	Prec@5 83.500 (83.117)
Epoch: [66][5720/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8968 (1.7301)	Prec@1 46.500 (53.914)	Prec@5 78.500 (83.115)
Epoch: [66][5730/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6277 (1.7301)	Prec@1 54.000 (53.915)	Prec@5 83.000 (83.112)
Epoch: [66][5740/9018]	Time 0.603 (0.623)	Data 0.016 (0.003)	Loss 1.8457 (1.7301)	Prec@1 58.000 (53.914)	Prec@5 80.000 (83.114)
Epoch: [66][5750/9018]	Time 0.624 (0.623)	Data 0.010 (0.003)	Loss 1.4786 (1.7300)	Prec@1 57.500 (53.915)	Prec@5 89.000 (83.113)
Epoch: [66][5760/9018]	Time 0.626 (0.623)	Data 0.014 (0.003)	Loss 1.8025 (1.7301)	Prec@1 52.500 (53.911)	Prec@5 79.000 (83.113)
Epoch: [66][5770/9018]	Time 0.627 (0.623)	Data 0.006 (0.003)	Loss 1.9327 (1.7301)	Prec@1 50.000 (53.912)	Prec@5 79.500 (83.111)
Epoch: [66][5780/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7969 (1.7302)	Prec@1 53.000 (53.908)	Prec@5 82.500 (83.112)
Epoch: [66][5790/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.5035 (1.7301)	Prec@1 58.500 (53.910)	Prec@5 88.000 (83.113)
Epoch: [66][5800/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7070 (1.7300)	Prec@1 54.000 (53.911)	Prec@5 82.500 (83.114)
Epoch: [66][5810/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8901 (1.7301)	Prec@1 47.500 (53.910)	Prec@5 79.500 (83.113)
Epoch: [66][5820/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6593 (1.7300)	Prec@1 52.000 (53.910)	Prec@5 84.500 (83.112)
Epoch: [66][5830/9018]	Time 0.606 (0.623)	Data 0.016 (0.003)	Loss 1.7268 (1.7300)	Prec@1 54.500 (53.910)	Prec@5 83.500 (83.113)
Epoch: [66][5840/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7432 (1.7300)	Prec@1 54.000 (53.907)	Prec@5 82.000 (83.112)
Epoch: [66][5850/9018]	Time 0.608 (0.623)	Data 0.017 (0.003)	Loss 1.7463 (1.7301)	Prec@1 53.000 (53.906)	Prec@5 81.000 (83.109)
Epoch: [66][5860/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8493 (1.7301)	Prec@1 51.000 (53.908)	Prec@5 80.000 (83.108)
Epoch: [66][5870/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6165 (1.7301)	Prec@1 57.000 (53.906)	Prec@5 83.500 (83.108)
Epoch: [66][5880/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7503 (1.7301)	Prec@1 51.000 (53.907)	Prec@5 84.000 (83.107)
Epoch: [66][5890/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5253 (1.7300)	Prec@1 59.500 (53.909)	Prec@5 85.000 (83.108)
Epoch: [66][5900/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.8510 (1.7300)	Prec@1 53.000 (53.911)	Prec@5 84.500 (83.110)
Epoch: [66][5910/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.6531 (1.7300)	Prec@1 55.500 (53.912)	Prec@5 86.000 (83.108)
Epoch: [66][5920/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7662 (1.7300)	Prec@1 52.000 (53.912)	Prec@5 86.500 (83.110)
Epoch: [66][5930/9018]	Time 0.646 (0.623)	Data 0.020 (0.003)	Loss 1.6626 (1.7300)	Prec@1 54.000 (53.913)	Prec@5 84.500 (83.110)
Epoch: [66][5940/9018]	Time 0.789 (0.623)	Data 0.001 (0.003)	Loss 1.8764 (1.7299)	Prec@1 43.500 (53.915)	Prec@5 79.500 (83.110)
Epoch: [66][5950/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7673 (1.7299)	Prec@1 59.000 (53.919)	Prec@5 80.500 (83.110)
Epoch: [66][5960/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.7295 (1.7300)	Prec@1 53.500 (53.916)	Prec@5 82.500 (83.110)
Epoch: [66][5970/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.8315 (1.7300)	Prec@1 52.000 (53.913)	Prec@5 81.000 (83.110)
Epoch: [66][5980/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7322 (1.7300)	Prec@1 56.000 (53.914)	Prec@5 80.000 (83.111)
Epoch: [66][5990/9018]	Time 0.719 (0.623)	Data 0.001 (0.003)	Loss 1.7366 (1.7301)	Prec@1 50.000 (53.911)	Prec@5 83.000 (83.111)
Epoch: [66][6000/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8327 (1.7300)	Prec@1 53.000 (53.912)	Prec@5 85.000 (83.113)
Epoch: [66][6010/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7739 (1.7301)	Prec@1 55.500 (53.912)	Prec@5 84.500 (83.112)
Epoch: [66][6020/9018]	Time 0.632 (0.623)	Data 0.016 (0.003)	Loss 1.7294 (1.7300)	Prec@1 52.500 (53.912)	Prec@5 82.000 (83.113)
Epoch: [66][6030/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8881 (1.7301)	Prec@1 49.500 (53.910)	Prec@5 80.000 (83.114)
Epoch: [66][6040/9018]	Time 0.620 (0.623)	Data 0.012 (0.003)	Loss 1.9219 (1.7301)	Prec@1 48.000 (53.908)	Prec@5 81.000 (83.113)
Epoch: [66][6050/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.5346 (1.7300)	Prec@1 58.500 (53.911)	Prec@5 87.500 (83.114)
Epoch: [66][6060/9018]	Time 0.640 (0.623)	Data 0.014 (0.003)	Loss 1.7887 (1.7300)	Prec@1 53.000 (53.912)	Prec@5 81.000 (83.114)
Epoch: [66][6070/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.5794 (1.7300)	Prec@1 60.000 (53.913)	Prec@5 85.500 (83.115)
Epoch: [66][6080/9018]	Time 0.627 (0.623)	Data 0.015 (0.003)	Loss 1.7372 (1.7301)	Prec@1 56.500 (53.914)	Prec@5 83.000 (83.114)
Epoch: [66][6090/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7421 (1.7300)	Prec@1 56.000 (53.916)	Prec@5 83.000 (83.114)
Epoch: [66][6100/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.8944 (1.7301)	Prec@1 51.000 (53.914)	Prec@5 80.000 (83.112)
Epoch: [66][6110/9018]	Time 0.640 (0.624)	Data 0.001 (0.003)	Loss 1.5072 (1.7302)	Prec@1 57.500 (53.914)	Prec@5 89.500 (83.111)
Epoch: [66][6120/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6765 (1.7302)	Prec@1 55.500 (53.915)	Prec@5 84.000 (83.112)
Epoch: [66][6130/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7623 (1.7302)	Prec@1 50.500 (53.915)	Prec@5 81.500 (83.111)
Epoch: [66][6140/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6732 (1.7303)	Prec@1 55.000 (53.912)	Prec@5 82.500 (83.109)
Epoch: [66][6150/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6870 (1.7302)	Prec@1 53.500 (53.914)	Prec@5 83.500 (83.107)
Epoch: [66][6160/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6973 (1.7302)	Prec@1 55.500 (53.914)	Prec@5 83.000 (83.108)
Epoch: [66][6170/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7123 (1.7303)	Prec@1 55.000 (53.914)	Prec@5 81.500 (83.107)
Epoch: [66][6180/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6771 (1.7302)	Prec@1 50.500 (53.914)	Prec@5 83.500 (83.108)
Epoch: [66][6190/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6931 (1.7302)	Prec@1 60.000 (53.919)	Prec@5 82.500 (83.108)
Epoch: [66][6200/9018]	Time 0.593 (0.623)	Data 0.005 (0.003)	Loss 1.7379 (1.7303)	Prec@1 52.500 (53.917)	Prec@5 81.500 (83.107)
Epoch: [66][6210/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6601 (1.7302)	Prec@1 56.000 (53.919)	Prec@5 85.000 (83.109)
Epoch: [66][6220/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8202 (1.7303)	Prec@1 56.500 (53.919)	Prec@5 78.000 (83.106)
Epoch: [66][6230/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7091 (1.7303)	Prec@1 48.500 (53.916)	Prec@5 83.500 (83.104)
Epoch: [66][6240/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8182 (1.7303)	Prec@1 58.000 (53.917)	Prec@5 77.000 (83.103)
Epoch: [66][6250/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7485 (1.7303)	Prec@1 46.500 (53.915)	Prec@5 85.000 (83.104)
Epoch: [66][6260/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6641 (1.7303)	Prec@1 56.500 (53.915)	Prec@5 86.500 (83.103)
Epoch: [66][6270/9018]	Time 0.788 (0.623)	Data 0.001 (0.003)	Loss 1.5909 (1.7302)	Prec@1 56.000 (53.915)	Prec@5 83.000 (83.102)
Epoch: [66][6280/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.5734 (1.7302)	Prec@1 58.000 (53.915)	Prec@5 87.000 (83.102)
Epoch: [66][6290/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.5831 (1.7301)	Prec@1 57.000 (53.919)	Prec@5 84.500 (83.103)
Epoch: [66][6300/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8502 (1.7302)	Prec@1 51.500 (53.917)	Prec@5 81.500 (83.102)
Epoch: [66][6310/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6417 (1.7302)	Prec@1 59.500 (53.916)	Prec@5 85.500 (83.100)
Epoch: [66][6320/9018]	Time 0.758 (0.623)	Data 0.001 (0.003)	Loss 1.7387 (1.7303)	Prec@1 51.000 (53.915)	Prec@5 83.500 (83.098)
Epoch: [66][6330/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.5351 (1.7302)	Prec@1 57.500 (53.916)	Prec@5 86.500 (83.099)
Epoch: [66][6340/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.6869 (1.7302)	Prec@1 54.500 (53.916)	Prec@5 84.500 (83.099)
Epoch: [66][6350/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7545 (1.7301)	Prec@1 57.500 (53.918)	Prec@5 81.000 (83.099)
Epoch: [66][6360/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.5557 (1.7301)	Prec@1 60.000 (53.918)	Prec@5 83.500 (83.099)
Epoch: [66][6370/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8487 (1.7301)	Prec@1 51.500 (53.919)	Prec@5 83.500 (83.101)
Epoch: [66][6380/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6590 (1.7301)	Prec@1 55.000 (53.917)	Prec@5 83.000 (83.101)
Epoch: [66][6390/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.8544 (1.7302)	Prec@1 55.500 (53.915)	Prec@5 79.000 (83.096)
Epoch: [66][6400/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7531 (1.7302)	Prec@1 52.000 (53.915)	Prec@5 82.500 (83.096)
Epoch: [66][6410/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8472 (1.7303)	Prec@1 54.500 (53.916)	Prec@5 80.500 (83.096)
Epoch: [66][6420/9018]	Time 0.656 (0.623)	Data 0.001 (0.003)	Loss 1.8221 (1.7303)	Prec@1 58.000 (53.915)	Prec@5 80.000 (83.095)
Epoch: [66][6430/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7169 (1.7303)	Prec@1 51.500 (53.915)	Prec@5 86.500 (83.096)
Epoch: [66][6440/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8989 (1.7303)	Prec@1 50.000 (53.914)	Prec@5 81.500 (83.094)
Epoch: [66][6450/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7429 (1.7302)	Prec@1 52.000 (53.916)	Prec@5 81.000 (83.095)
Epoch: [66][6460/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 2.0261 (1.7303)	Prec@1 47.000 (53.913)	Prec@5 77.000 (83.095)
Epoch: [66][6470/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.8015 (1.7303)	Prec@1 50.500 (53.913)	Prec@5 79.500 (83.094)
Epoch: [66][6480/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7717 (1.7304)	Prec@1 55.000 (53.912)	Prec@5 83.000 (83.093)
Epoch: [66][6490/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.6944 (1.7304)	Prec@1 53.500 (53.913)	Prec@5 85.500 (83.094)
Epoch: [66][6500/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.9181 (1.7304)	Prec@1 49.500 (53.913)	Prec@5 79.000 (83.094)
Epoch: [66][6510/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.7285 (1.7303)	Prec@1 51.500 (53.914)	Prec@5 83.500 (83.095)
Epoch: [66][6520/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.6874 (1.7303)	Prec@1 52.500 (53.915)	Prec@5 82.000 (83.095)
Epoch: [66][6530/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.9531 (1.7304)	Prec@1 49.000 (53.914)	Prec@5 80.000 (83.094)
Epoch: [66][6540/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6247 (1.7305)	Prec@1 54.500 (53.912)	Prec@5 85.500 (83.090)
Epoch: [66][6550/9018]	Time 0.597 (0.623)	Data 0.015 (0.003)	Loss 1.5466 (1.7304)	Prec@1 56.000 (53.913)	Prec@5 90.000 (83.091)
Epoch: [66][6560/9018]	Time 0.607 (0.623)	Data 0.006 (0.003)	Loss 1.7175 (1.7305)	Prec@1 57.000 (53.913)	Prec@5 80.500 (83.090)
Epoch: [66][6570/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6922 (1.7306)	Prec@1 48.500 (53.911)	Prec@5 85.000 (83.087)
Epoch: [66][6580/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7693 (1.7306)	Prec@1 57.000 (53.909)	Prec@5 82.000 (83.088)
Epoch: [66][6590/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.5313 (1.7305)	Prec@1 53.000 (53.910)	Prec@5 86.500 (83.089)
Epoch: [66][6600/9018]	Time 0.760 (0.623)	Data 0.001 (0.003)	Loss 1.9795 (1.7306)	Prec@1 51.000 (53.911)	Prec@5 79.000 (83.087)
Epoch: [66][6610/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8240 (1.7306)	Prec@1 50.000 (53.911)	Prec@5 81.000 (83.087)
Epoch: [66][6620/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.9260 (1.7308)	Prec@1 49.500 (53.907)	Prec@5 81.500 (83.084)
Epoch: [66][6630/9018]	Time 0.649 (0.623)	Data 0.001 (0.003)	Loss 1.7272 (1.7307)	Prec@1 53.000 (53.908)	Prec@5 82.500 (83.084)
Epoch: [66][6640/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8692 (1.7307)	Prec@1 54.000 (53.909)	Prec@5 80.500 (83.084)
Epoch: [66][6650/9018]	Time 0.764 (0.623)	Data 0.001 (0.003)	Loss 1.7095 (1.7306)	Prec@1 55.000 (53.909)	Prec@5 82.000 (83.085)
Epoch: [66][6660/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.5747 (1.7307)	Prec@1 58.000 (53.909)	Prec@5 84.000 (83.084)
Epoch: [66][6670/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8237 (1.7307)	Prec@1 53.500 (53.908)	Prec@5 80.000 (83.081)
Epoch: [66][6680/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6176 (1.7308)	Prec@1 56.000 (53.907)	Prec@5 83.500 (83.081)
Epoch: [66][6690/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7586 (1.7308)	Prec@1 56.500 (53.907)	Prec@5 83.500 (83.080)
Epoch: [66][6700/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6708 (1.7308)	Prec@1 50.500 (53.908)	Prec@5 84.500 (83.081)
Epoch: [66][6710/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7696 (1.7309)	Prec@1 52.000 (53.904)	Prec@5 82.000 (83.080)
Epoch: [66][6720/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.6486 (1.7309)	Prec@1 58.000 (53.904)	Prec@5 84.500 (83.081)
Epoch: [66][6730/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8446 (1.7309)	Prec@1 49.500 (53.905)	Prec@5 82.000 (83.082)
Epoch: [66][6740/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7861 (1.7309)	Prec@1 52.500 (53.905)	Prec@5 81.000 (83.081)
Epoch: [66][6750/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7438 (1.7309)	Prec@1 52.000 (53.905)	Prec@5 81.000 (83.081)
Epoch: [66][6760/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7122 (1.7308)	Prec@1 54.000 (53.906)	Prec@5 83.500 (83.082)
Epoch: [66][6770/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.5513 (1.7308)	Prec@1 56.000 (53.905)	Prec@5 87.500 (83.084)
Epoch: [66][6780/9018]	Time 0.650 (0.623)	Data 0.017 (0.003)	Loss 1.6684 (1.7308)	Prec@1 52.000 (53.904)	Prec@5 85.500 (83.086)
Epoch: [66][6790/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.5653 (1.7307)	Prec@1 56.000 (53.904)	Prec@5 87.000 (83.087)
Epoch: [66][6800/9018]	Time 0.638 (0.623)	Data 0.014 (0.003)	Loss 1.8535 (1.7306)	Prec@1 53.000 (53.907)	Prec@5 85.000 (83.089)
Epoch: [66][6810/9018]	Time 0.608 (0.623)	Data 0.016 (0.003)	Loss 1.8926 (1.7307)	Prec@1 49.000 (53.906)	Prec@5 80.500 (83.089)
Epoch: [66][6820/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.8295 (1.7307)	Prec@1 54.000 (53.907)	Prec@5 81.000 (83.090)
Epoch: [66][6830/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7494 (1.7307)	Prec@1 52.000 (53.908)	Prec@5 85.500 (83.088)
Epoch: [66][6840/9018]	Time 0.590 (0.623)	Data 0.002 (0.003)	Loss 1.8167 (1.7308)	Prec@1 51.000 (53.905)	Prec@5 79.500 (83.088)
Epoch: [66][6850/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.9544 (1.7308)	Prec@1 50.500 (53.907)	Prec@5 77.500 (83.088)
Epoch: [66][6860/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7253 (1.7308)	Prec@1 56.500 (53.907)	Prec@5 80.500 (83.086)
Epoch: [66][6870/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7873 (1.7309)	Prec@1 52.500 (53.904)	Prec@5 81.000 (83.082)
Epoch: [66][6880/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7477 (1.7309)	Prec@1 53.500 (53.903)	Prec@5 81.500 (83.082)
Epoch: [66][6890/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7061 (1.7310)	Prec@1 52.000 (53.901)	Prec@5 85.500 (83.082)
Epoch: [66][6900/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7412 (1.7309)	Prec@1 54.500 (53.903)	Prec@5 83.500 (83.083)
Epoch: [66][6910/9018]	Time 0.643 (0.623)	Data 0.003 (0.003)	Loss 1.8191 (1.7309)	Prec@1 55.000 (53.906)	Prec@5 81.000 (83.083)
Epoch: [66][6920/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 2.0031 (1.7309)	Prec@1 46.000 (53.905)	Prec@5 77.000 (83.082)
Epoch: [66][6930/9018]	Time 0.744 (0.623)	Data 0.001 (0.003)	Loss 1.8536 (1.7310)	Prec@1 49.000 (53.903)	Prec@5 81.500 (83.082)
Epoch: [66][6940/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.5341 (1.7309)	Prec@1 53.500 (53.904)	Prec@5 88.500 (83.085)
Epoch: [66][6950/9018]	Time 0.589 (0.623)	Data 0.001 (0.003)	Loss 1.8237 (1.7309)	Prec@1 50.500 (53.903)	Prec@5 82.500 (83.085)
Epoch: [66][6960/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7294 (1.7309)	Prec@1 55.000 (53.905)	Prec@5 83.500 (83.086)
Epoch: [66][6970/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7117 (1.7309)	Prec@1 56.000 (53.905)	Prec@5 83.000 (83.087)
Epoch: [66][6980/9018]	Time 0.759 (0.623)	Data 0.001 (0.003)	Loss 1.8730 (1.7309)	Prec@1 50.500 (53.907)	Prec@5 81.000 (83.087)
Epoch: [66][6990/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.9202 (1.7308)	Prec@1 49.500 (53.909)	Prec@5 80.500 (83.089)
Epoch: [66][7000/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7784 (1.7307)	Prec@1 53.500 (53.908)	Prec@5 82.000 (83.090)
Epoch: [66][7010/9018]	Time 0.622 (0.623)	Data 0.015 (0.003)	Loss 1.7540 (1.7307)	Prec@1 52.500 (53.907)	Prec@5 82.000 (83.091)
Epoch: [66][7020/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7032 (1.7308)	Prec@1 51.500 (53.904)	Prec@5 85.000 (83.090)
Epoch: [66][7030/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.7813 (1.7309)	Prec@1 53.000 (53.902)	Prec@5 76.000 (83.089)
Epoch: [66][7040/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7635 (1.7308)	Prec@1 54.000 (53.902)	Prec@5 85.500 (83.092)
Epoch: [66][7050/9018]	Time 0.615 (0.623)	Data 0.013 (0.003)	Loss 2.0197 (1.7309)	Prec@1 50.000 (53.902)	Prec@5 81.000 (83.090)
Epoch: [66][7060/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.4563 (1.7309)	Prec@1 61.000 (53.902)	Prec@5 85.000 (83.089)
Epoch: [66][7070/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.4859 (1.7308)	Prec@1 61.500 (53.904)	Prec@5 89.000 (83.091)
Epoch: [66][7080/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.9797 (1.7308)	Prec@1 49.500 (53.902)	Prec@5 78.000 (83.092)
Epoch: [66][7090/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.5877 (1.7309)	Prec@1 56.500 (53.901)	Prec@5 85.000 (83.091)
Epoch: [66][7100/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6201 (1.7308)	Prec@1 54.000 (53.901)	Prec@5 85.500 (83.094)
Epoch: [66][7110/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8243 (1.7308)	Prec@1 53.500 (53.905)	Prec@5 81.000 (83.094)
Epoch: [66][7120/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7624 (1.7308)	Prec@1 55.500 (53.902)	Prec@5 82.500 (83.093)
Epoch: [66][7130/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7820 (1.7308)	Prec@1 53.000 (53.902)	Prec@5 81.500 (83.092)
Epoch: [66][7140/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.5928 (1.7309)	Prec@1 55.000 (53.901)	Prec@5 85.500 (83.090)
Epoch: [66][7150/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7196 (1.7308)	Prec@1 56.000 (53.903)	Prec@5 85.000 (83.090)
Epoch: [66][7160/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6876 (1.7309)	Prec@1 57.000 (53.901)	Prec@5 84.000 (83.088)
Epoch: [66][7170/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6706 (1.7309)	Prec@1 57.500 (53.900)	Prec@5 84.500 (83.087)
Epoch: [66][7180/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7830 (1.7309)	Prec@1 55.500 (53.902)	Prec@5 82.500 (83.088)
Epoch: [66][7190/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8345 (1.7311)	Prec@1 51.000 (53.898)	Prec@5 76.500 (83.086)
Epoch: [66][7200/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.5742 (1.7310)	Prec@1 59.000 (53.896)	Prec@5 87.500 (83.088)
Epoch: [66][7210/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.9657 (1.7311)	Prec@1 43.500 (53.894)	Prec@5 81.000 (83.089)
Epoch: [66][7220/9018]	Time 0.674 (0.623)	Data 0.001 (0.003)	Loss 1.7747 (1.7311)	Prec@1 52.500 (53.893)	Prec@5 81.000 (83.089)
Epoch: [66][7230/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7306 (1.7311)	Prec@1 53.000 (53.892)	Prec@5 80.000 (83.088)
Epoch: [66][7240/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.9062 (1.7311)	Prec@1 48.500 (53.892)	Prec@5 79.000 (83.088)
Epoch: [66][7250/9018]	Time 0.638 (0.623)	Data 0.003 (0.003)	Loss 1.8577 (1.7311)	Prec@1 50.500 (53.893)	Prec@5 82.000 (83.087)
Epoch: [66][7260/9018]	Time 0.765 (0.623)	Data 0.001 (0.003)	Loss 1.9190 (1.7311)	Prec@1 49.500 (53.892)	Prec@5 80.000 (83.086)
Epoch: [66][7270/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7629 (1.7311)	Prec@1 53.000 (53.892)	Prec@5 84.000 (83.086)
Epoch: [66][7280/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7304 (1.7311)	Prec@1 57.000 (53.894)	Prec@5 83.000 (83.086)
Epoch: [66][7290/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.8071 (1.7311)	Prec@1 51.500 (53.894)	Prec@5 85.000 (83.087)
Epoch: [66][7300/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8720 (1.7312)	Prec@1 52.000 (53.891)	Prec@5 78.500 (83.084)
Epoch: [66][7310/9018]	Time 0.769 (0.623)	Data 0.012 (0.003)	Loss 1.7719 (1.7313)	Prec@1 53.500 (53.890)	Prec@5 80.000 (83.082)
Epoch: [66][7320/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.8721 (1.7314)	Prec@1 48.500 (53.884)	Prec@5 81.500 (83.080)
Epoch: [66][7330/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7288 (1.7314)	Prec@1 55.000 (53.885)	Prec@5 79.500 (83.079)
Epoch: [66][7340/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7152 (1.7314)	Prec@1 55.500 (53.885)	Prec@5 83.000 (83.081)
Epoch: [66][7350/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6428 (1.7313)	Prec@1 53.000 (53.886)	Prec@5 85.500 (83.082)
Epoch: [66][7360/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.5866 (1.7313)	Prec@1 62.000 (53.887)	Prec@5 86.500 (83.081)
Epoch: [66][7370/9018]	Time 0.655 (0.623)	Data 0.001 (0.003)	Loss 1.7032 (1.7313)	Prec@1 57.000 (53.888)	Prec@5 82.000 (83.081)
Epoch: [66][7380/9018]	Time 0.621 (0.623)	Data 0.017 (0.003)	Loss 1.6991 (1.7313)	Prec@1 56.000 (53.889)	Prec@5 85.000 (83.080)
Epoch: [66][7390/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7824 (1.7313)	Prec@1 51.000 (53.888)	Prec@5 83.500 (83.081)
Epoch: [66][7400/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7645 (1.7313)	Prec@1 52.500 (53.890)	Prec@5 83.000 (83.081)
Epoch: [66][7410/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.6070 (1.7313)	Prec@1 54.500 (53.891)	Prec@5 86.500 (83.082)
Epoch: [66][7420/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.5499 (1.7312)	Prec@1 61.000 (53.895)	Prec@5 85.000 (83.084)
Epoch: [66][7430/9018]	Time 0.596 (0.623)	Data 0.017 (0.003)	Loss 1.6378 (1.7312)	Prec@1 56.000 (53.891)	Prec@5 81.500 (83.083)
Epoch: [66][7440/9018]	Time 0.624 (0.623)	Data 0.017 (0.003)	Loss 1.6822 (1.7312)	Prec@1 57.000 (53.893)	Prec@5 84.000 (83.083)
Epoch: [66][7450/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.9169 (1.7313)	Prec@1 47.500 (53.892)	Prec@5 79.500 (83.081)
Epoch: [66][7460/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7064 (1.7313)	Prec@1 51.000 (53.891)	Prec@5 82.500 (83.082)
Epoch: [66][7470/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7434 (1.7312)	Prec@1 54.500 (53.893)	Prec@5 84.500 (83.083)
Epoch: [66][7480/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.8602 (1.7313)	Prec@1 48.000 (53.892)	Prec@5 80.000 (83.083)
Epoch: [66][7490/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.5525 (1.7312)	Prec@1 58.500 (53.893)	Prec@5 86.000 (83.082)
Epoch: [66][7500/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.9097 (1.7313)	Prec@1 53.000 (53.891)	Prec@5 80.000 (83.082)
Epoch: [66][7510/9018]	Time 0.623 (0.623)	Data 0.012 (0.003)	Loss 1.6793 (1.7313)	Prec@1 58.500 (53.892)	Prec@5 85.500 (83.083)
Epoch: [66][7520/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7075 (1.7313)	Prec@1 54.000 (53.890)	Prec@5 82.000 (83.083)
Epoch: [66][7530/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.9570 (1.7313)	Prec@1 51.000 (53.889)	Prec@5 78.500 (83.082)
Epoch: [66][7540/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.6260 (1.7313)	Prec@1 54.500 (53.889)	Prec@5 84.500 (83.082)
Epoch: [66][7550/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7632 (1.7313)	Prec@1 48.000 (53.889)	Prec@5 84.000 (83.082)
Epoch: [66][7560/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8500 (1.7312)	Prec@1 46.000 (53.890)	Prec@5 81.500 (83.084)
Epoch: [66][7570/9018]	Time 0.632 (0.623)	Data 0.014 (0.003)	Loss 1.9005 (1.7312)	Prec@1 47.000 (53.891)	Prec@5 80.500 (83.085)
Epoch: [66][7580/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6029 (1.7312)	Prec@1 56.000 (53.890)	Prec@5 89.000 (83.085)
Epoch: [66][7590/9018]	Time 0.738 (0.623)	Data 0.001 (0.003)	Loss 1.6126 (1.7312)	Prec@1 57.000 (53.891)	Prec@5 84.500 (83.085)
Epoch: [66][7600/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8697 (1.7312)	Prec@1 54.000 (53.889)	Prec@5 81.000 (83.084)
Epoch: [66][7610/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7427 (1.7312)	Prec@1 54.000 (53.891)	Prec@5 81.500 (83.083)
Epoch: [66][7620/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5470 (1.7312)	Prec@1 61.000 (53.893)	Prec@5 84.500 (83.083)
Epoch: [66][7630/9018]	Time 0.608 (0.623)	Data 0.013 (0.003)	Loss 1.5031 (1.7311)	Prec@1 57.500 (53.894)	Prec@5 86.000 (83.084)
Epoch: [66][7640/9018]	Time 0.716 (0.623)	Data 0.001 (0.003)	Loss 1.7759 (1.7312)	Prec@1 51.500 (53.891)	Prec@5 84.000 (83.083)
Epoch: [66][7650/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6421 (1.7312)	Prec@1 55.000 (53.892)	Prec@5 85.500 (83.082)
Epoch: [66][7660/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7485 (1.7312)	Prec@1 49.000 (53.891)	Prec@5 83.000 (83.082)
Epoch: [66][7670/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8490 (1.7312)	Prec@1 54.000 (53.892)	Prec@5 79.500 (83.082)
Epoch: [66][7680/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.7712 (1.7312)	Prec@1 55.000 (53.891)	Prec@5 80.500 (83.081)
Epoch: [66][7690/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7290 (1.7312)	Prec@1 50.500 (53.889)	Prec@5 84.500 (83.081)
Epoch: [66][7700/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7216 (1.7312)	Prec@1 53.000 (53.889)	Prec@5 82.500 (83.081)
Epoch: [66][7710/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7328 (1.7312)	Prec@1 50.500 (53.887)	Prec@5 83.500 (83.081)
Epoch: [66][7720/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.5899 (1.7311)	Prec@1 58.500 (53.889)	Prec@5 84.500 (83.083)
Epoch: [66][7730/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7031 (1.7311)	Prec@1 54.500 (53.890)	Prec@5 82.500 (83.083)
Epoch: [66][7740/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.9714 (1.7311)	Prec@1 49.500 (53.889)	Prec@5 79.500 (83.082)
Epoch: [66][7750/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8513 (1.7312)	Prec@1 53.000 (53.888)	Prec@5 77.500 (83.081)
Epoch: [66][7760/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7959 (1.7312)	Prec@1 54.500 (53.888)	Prec@5 81.000 (83.080)
Epoch: [66][7770/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.5984 (1.7310)	Prec@1 59.000 (53.891)	Prec@5 86.000 (83.083)
Epoch: [66][7780/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.5336 (1.7311)	Prec@1 60.500 (53.893)	Prec@5 84.500 (83.081)
Epoch: [66][7790/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.6176 (1.7310)	Prec@1 57.500 (53.896)	Prec@5 84.500 (83.082)
Epoch: [66][7800/9018]	Time 0.619 (0.623)	Data 0.014 (0.003)	Loss 1.6690 (1.7310)	Prec@1 56.000 (53.895)	Prec@5 83.500 (83.081)
Epoch: [66][7810/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.5677 (1.7311)	Prec@1 57.500 (53.894)	Prec@5 85.500 (83.081)
Epoch: [66][7820/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8256 (1.7311)	Prec@1 55.000 (53.896)	Prec@5 80.500 (83.080)
Epoch: [66][7830/9018]	Time 0.608 (0.623)	Data 0.016 (0.003)	Loss 1.9770 (1.7312)	Prec@1 54.000 (53.894)	Prec@5 79.000 (83.077)
Epoch: [66][7840/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6048 (1.7312)	Prec@1 55.500 (53.894)	Prec@5 83.500 (83.077)
Epoch: [66][7850/9018]	Time 0.604 (0.623)	Data 0.014 (0.003)	Loss 1.8941 (1.7312)	Prec@1 50.500 (53.893)	Prec@5 78.000 (83.075)
Epoch: [66][7860/9018]	Time 0.616 (0.623)	Data 0.016 (0.003)	Loss 1.7204 (1.7312)	Prec@1 52.500 (53.893)	Prec@5 82.500 (83.075)
Epoch: [66][7870/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6948 (1.7313)	Prec@1 55.500 (53.893)	Prec@5 85.000 (83.075)
Epoch: [66][7880/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7207 (1.7313)	Prec@1 51.000 (53.892)	Prec@5 82.500 (83.074)
Epoch: [66][7890/9018]	Time 0.616 (0.623)	Data 0.014 (0.003)	Loss 1.5876 (1.7313)	Prec@1 53.500 (53.892)	Prec@5 86.000 (83.074)
Epoch: [66][7900/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8072 (1.7313)	Prec@1 53.000 (53.891)	Prec@5 82.500 (83.073)
Epoch: [66][7910/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7996 (1.7314)	Prec@1 53.000 (53.890)	Prec@5 81.000 (83.073)
Epoch: [66][7920/9018]	Time 0.785 (0.623)	Data 0.016 (0.003)	Loss 1.8842 (1.7314)	Prec@1 49.500 (53.891)	Prec@5 83.500 (83.073)
Epoch: [66][7930/9018]	Time 0.624 (0.623)	Data 0.015 (0.003)	Loss 1.6847 (1.7314)	Prec@1 55.500 (53.892)	Prec@5 83.500 (83.072)
Epoch: [66][7940/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7039 (1.7314)	Prec@1 51.500 (53.892)	Prec@5 85.000 (83.073)
Epoch: [66][7950/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7255 (1.7313)	Prec@1 53.000 (53.891)	Prec@5 82.500 (83.073)
Epoch: [66][7960/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6162 (1.7313)	Prec@1 59.500 (53.893)	Prec@5 85.000 (83.074)
Epoch: [66][7970/9018]	Time 0.786 (0.623)	Data 0.001 (0.003)	Loss 1.9468 (1.7313)	Prec@1 52.500 (53.893)	Prec@5 78.500 (83.074)
Epoch: [66][7980/9018]	Time 0.615 (0.623)	Data 0.016 (0.003)	Loss 1.7198 (1.7314)	Prec@1 53.000 (53.891)	Prec@5 83.000 (83.074)
Epoch: [66][7990/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7777 (1.7314)	Prec@1 55.000 (53.892)	Prec@5 80.500 (83.073)
Epoch: [66][8000/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.8020 (1.7313)	Prec@1 56.500 (53.896)	Prec@5 82.500 (83.074)
Epoch: [66][8010/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7171 (1.7314)	Prec@1 56.000 (53.893)	Prec@5 83.000 (83.072)
Epoch: [66][8020/9018]	Time 0.646 (0.623)	Data 0.001 (0.003)	Loss 1.8460 (1.7314)	Prec@1 52.000 (53.893)	Prec@5 84.500 (83.072)
Epoch: [66][8030/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6385 (1.7315)	Prec@1 58.500 (53.892)	Prec@5 83.500 (83.070)
Epoch: [66][8040/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.9461 (1.7315)	Prec@1 51.500 (53.894)	Prec@5 77.500 (83.071)
Epoch: [66][8050/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8948 (1.7315)	Prec@1 52.500 (53.894)	Prec@5 78.500 (83.070)
Epoch: [66][8060/9018]	Time 0.610 (0.623)	Data 0.007 (0.003)	Loss 1.7111 (1.7315)	Prec@1 55.500 (53.894)	Prec@5 82.500 (83.070)
Epoch: [66][8070/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.5900 (1.7316)	Prec@1 57.500 (53.893)	Prec@5 83.500 (83.070)
Epoch: [66][8080/9018]	Time 0.608 (0.623)	Data 0.002 (0.003)	Loss 1.6921 (1.7316)	Prec@1 55.000 (53.891)	Prec@5 82.000 (83.070)
Epoch: [66][8090/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8172 (1.7317)	Prec@1 50.000 (53.889)	Prec@5 83.500 (83.068)
Epoch: [66][8100/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6737 (1.7316)	Prec@1 54.500 (53.891)	Prec@5 84.500 (83.068)
Epoch: [66][8110/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.9186 (1.7317)	Prec@1 46.500 (53.889)	Prec@5 79.000 (83.067)
Epoch: [66][8120/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6409 (1.7317)	Prec@1 51.000 (53.887)	Prec@5 85.500 (83.066)
Epoch: [66][8130/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.5733 (1.7316)	Prec@1 55.000 (53.888)	Prec@5 88.500 (83.069)
Epoch: [66][8140/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8979 (1.7317)	Prec@1 49.500 (53.886)	Prec@5 82.500 (83.068)
Epoch: [66][8150/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.9373 (1.7317)	Prec@1 54.500 (53.885)	Prec@5 81.000 (83.067)
Epoch: [66][8160/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6149 (1.7317)	Prec@1 57.500 (53.886)	Prec@5 86.000 (83.066)
Epoch: [66][8170/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8448 (1.7318)	Prec@1 49.000 (53.886)	Prec@5 82.500 (83.065)
Epoch: [66][8180/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.8264 (1.7318)	Prec@1 52.000 (53.886)	Prec@5 83.000 (83.065)
Epoch: [66][8190/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6848 (1.7318)	Prec@1 54.000 (53.887)	Prec@5 83.000 (83.066)
Epoch: [66][8200/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.7536 (1.7318)	Prec@1 52.500 (53.885)	Prec@5 83.500 (83.065)
Epoch: [66][8210/9018]	Time 0.608 (0.623)	Data 0.016 (0.003)	Loss 1.6375 (1.7318)	Prec@1 54.500 (53.885)	Prec@5 84.500 (83.065)
Epoch: [66][8220/9018]	Time 0.618 (0.623)	Data 0.008 (0.003)	Loss 1.8241 (1.7319)	Prec@1 52.000 (53.884)	Prec@5 82.500 (83.066)
Epoch: [66][8230/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8688 (1.7319)	Prec@1 47.000 (53.884)	Prec@5 83.000 (83.065)
Epoch: [66][8240/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7244 (1.7318)	Prec@1 57.000 (53.884)	Prec@5 79.500 (83.064)
Epoch: [66][8250/9018]	Time 0.780 (0.623)	Data 0.001 (0.003)	Loss 1.6315 (1.7318)	Prec@1 56.000 (53.883)	Prec@5 85.000 (83.065)
Epoch: [66][8260/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.7721 (1.7318)	Prec@1 52.000 (53.884)	Prec@5 83.000 (83.065)
Epoch: [66][8270/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.5715 (1.7318)	Prec@1 56.500 (53.884)	Prec@5 82.500 (83.064)
Epoch: [66][8280/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6394 (1.7319)	Prec@1 53.000 (53.881)	Prec@5 86.500 (83.061)
Epoch: [66][8290/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6456 (1.7319)	Prec@1 54.000 (53.880)	Prec@5 87.000 (83.063)
Epoch: [66][8300/9018]	Time 0.734 (0.623)	Data 0.001 (0.003)	Loss 1.5622 (1.7319)	Prec@1 51.000 (53.879)	Prec@5 85.000 (83.063)
Epoch: [66][8310/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7909 (1.7320)	Prec@1 48.000 (53.877)	Prec@5 84.500 (83.062)
Epoch: [66][8320/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6229 (1.7319)	Prec@1 60.500 (53.880)	Prec@5 82.500 (83.062)
Epoch: [66][8330/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7971 (1.7319)	Prec@1 52.500 (53.881)	Prec@5 84.000 (83.062)
Epoch: [66][8340/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7996 (1.7319)	Prec@1 56.500 (53.882)	Prec@5 78.500 (83.063)
Epoch: [66][8350/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.6305 (1.7319)	Prec@1 60.500 (53.880)	Prec@5 81.000 (83.064)
Epoch: [66][8360/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8322 (1.7319)	Prec@1 53.500 (53.880)	Prec@5 81.500 (83.062)
Epoch: [66][8370/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8676 (1.7319)	Prec@1 48.000 (53.879)	Prec@5 82.000 (83.061)
Epoch: [66][8380/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.7244 (1.7320)	Prec@1 59.000 (53.879)	Prec@5 82.000 (83.061)
Epoch: [66][8390/9018]	Time 0.647 (0.623)	Data 0.001 (0.003)	Loss 1.5278 (1.7319)	Prec@1 57.000 (53.880)	Prec@5 86.000 (83.062)
Epoch: [66][8400/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.8748 (1.7319)	Prec@1 51.500 (53.880)	Prec@5 82.500 (83.062)
Epoch: [66][8410/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6229 (1.7319)	Prec@1 57.500 (53.882)	Prec@5 86.000 (83.063)
Epoch: [66][8420/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7808 (1.7319)	Prec@1 51.500 (53.883)	Prec@5 82.000 (83.063)
Epoch: [66][8430/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7700 (1.7318)	Prec@1 53.500 (53.884)	Prec@5 81.500 (83.062)
Epoch: [66][8440/9018]	Time 0.612 (0.623)	Data 0.014 (0.003)	Loss 1.7770 (1.7318)	Prec@1 54.500 (53.887)	Prec@5 83.000 (83.061)
Epoch: [66][8450/9018]	Time 0.620 (0.623)	Data 0.015 (0.003)	Loss 1.6617 (1.7318)	Prec@1 57.000 (53.887)	Prec@5 85.000 (83.061)
Epoch: [66][8460/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7992 (1.7318)	Prec@1 57.000 (53.887)	Prec@5 81.000 (83.060)
Epoch: [66][8470/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7840 (1.7319)	Prec@1 53.000 (53.886)	Prec@5 84.500 (83.058)
Epoch: [66][8480/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.7503 (1.7319)	Prec@1 54.000 (53.887)	Prec@5 83.000 (83.058)
Epoch: [66][8490/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.7547 (1.7318)	Prec@1 56.000 (53.889)	Prec@5 81.500 (83.060)
Epoch: [66][8500/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.9020 (1.7318)	Prec@1 48.000 (53.889)	Prec@5 81.000 (83.060)
Epoch: [66][8510/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8214 (1.7317)	Prec@1 58.000 (53.889)	Prec@5 82.000 (83.061)
Epoch: [66][8520/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.8056 (1.7318)	Prec@1 51.500 (53.888)	Prec@5 84.000 (83.060)
Epoch: [66][8530/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7683 (1.7318)	Prec@1 51.500 (53.888)	Prec@5 84.000 (83.059)
Epoch: [66][8540/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 2.0149 (1.7318)	Prec@1 46.000 (53.886)	Prec@5 79.500 (83.058)
Epoch: [66][8550/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7153 (1.7318)	Prec@1 56.500 (53.889)	Prec@5 84.000 (83.059)
Epoch: [66][8560/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.5137 (1.7317)	Prec@1 61.500 (53.889)	Prec@5 88.500 (83.060)
Epoch: [66][8570/9018]	Time 0.648 (0.623)	Data 0.001 (0.003)	Loss 1.6125 (1.7318)	Prec@1 57.500 (53.887)	Prec@5 84.000 (83.059)
Epoch: [66][8580/9018]	Time 0.766 (0.623)	Data 0.001 (0.003)	Loss 1.9495 (1.7318)	Prec@1 45.500 (53.885)	Prec@5 80.500 (83.058)
Epoch: [66][8590/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7417 (1.7318)	Prec@1 52.000 (53.885)	Prec@5 80.500 (83.058)
Epoch: [66][8600/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7705 (1.7318)	Prec@1 54.500 (53.888)	Prec@5 83.500 (83.058)
Epoch: [66][8610/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8759 (1.7318)	Prec@1 56.500 (53.888)	Prec@5 81.500 (83.057)
Epoch: [66][8620/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6670 (1.7318)	Prec@1 54.500 (53.887)	Prec@5 87.000 (83.056)
Epoch: [66][8630/9018]	Time 0.719 (0.623)	Data 0.001 (0.003)	Loss 1.6434 (1.7318)	Prec@1 57.000 (53.886)	Prec@5 84.000 (83.055)
Epoch: [66][8640/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.5128 (1.7318)	Prec@1 59.500 (53.885)	Prec@5 88.500 (83.055)
Epoch: [66][8650/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.8833 (1.7319)	Prec@1 47.500 (53.884)	Prec@5 82.000 (83.055)
Epoch: [66][8660/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7636 (1.7319)	Prec@1 53.500 (53.883)	Prec@5 81.000 (83.054)
Epoch: [66][8670/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6033 (1.7319)	Prec@1 57.500 (53.883)	Prec@5 86.500 (83.054)
Epoch: [66][8680/9018]	Time 0.650 (0.623)	Data 0.001 (0.003)	Loss 1.6403 (1.7319)	Prec@1 55.000 (53.883)	Prec@5 84.500 (83.054)
Epoch: [66][8690/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8650 (1.7319)	Prec@1 52.000 (53.883)	Prec@5 81.000 (83.054)
Epoch: [66][8700/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6539 (1.7319)	Prec@1 59.500 (53.883)	Prec@5 87.500 (83.055)
Epoch: [66][8710/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.5094 (1.7318)	Prec@1 58.500 (53.882)	Prec@5 86.500 (83.056)
Epoch: [66][8720/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6473 (1.7318)	Prec@1 53.500 (53.883)	Prec@5 85.000 (83.055)
Epoch: [66][8730/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8220 (1.7318)	Prec@1 56.500 (53.882)	Prec@5 82.000 (83.055)
Epoch: [66][8740/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.7834 (1.7319)	Prec@1 53.500 (53.882)	Prec@5 82.000 (83.055)
Epoch: [66][8750/9018]	Time 0.604 (0.623)	Data 0.016 (0.003)	Loss 1.5776 (1.7318)	Prec@1 56.500 (53.882)	Prec@5 85.500 (83.056)
Epoch: [66][8760/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7528 (1.7318)	Prec@1 47.500 (53.881)	Prec@5 87.500 (83.056)
Epoch: [66][8770/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7885 (1.7318)	Prec@1 56.500 (53.883)	Prec@5 82.500 (83.055)
Epoch: [66][8780/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7756 (1.7318)	Prec@1 55.000 (53.882)	Prec@5 83.500 (83.056)
Epoch: [66][8790/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6807 (1.7318)	Prec@1 51.000 (53.883)	Prec@5 85.500 (83.056)
Epoch: [66][8800/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.7969 (1.7318)	Prec@1 50.000 (53.883)	Prec@5 80.000 (83.057)
Epoch: [66][8810/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7265 (1.7317)	Prec@1 55.500 (53.884)	Prec@5 85.000 (83.057)
Epoch: [66][8820/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.8132 (1.7317)	Prec@1 56.000 (53.885)	Prec@5 81.500 (83.057)
Epoch: [66][8830/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.6737 (1.7318)	Prec@1 55.000 (53.884)	Prec@5 86.000 (83.056)
Epoch: [66][8840/9018]	Time 0.597 (0.623)	Data 0.003 (0.003)	Loss 1.6048 (1.7318)	Prec@1 59.500 (53.885)	Prec@5 85.000 (83.056)
Epoch: [66][8850/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.9143 (1.7317)	Prec@1 51.500 (53.887)	Prec@5 79.000 (83.057)
Epoch: [66][8860/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.9189 (1.7317)	Prec@1 47.500 (53.887)	Prec@5 81.000 (83.057)
Epoch: [66][8870/9018]	Time 0.587 (0.623)	Data 0.001 (0.003)	Loss 1.6600 (1.7318)	Prec@1 54.000 (53.887)	Prec@5 82.500 (83.057)
Epoch: [66][8880/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.9414 (1.7318)	Prec@1 51.500 (53.888)	Prec@5 78.000 (83.055)
Epoch: [66][8890/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.6770 (1.7318)	Prec@1 57.500 (53.888)	Prec@5 80.500 (83.055)
Epoch: [66][8900/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7048 (1.7318)	Prec@1 54.500 (53.888)	Prec@5 83.000 (83.054)
Epoch: [66][8910/9018]	Time 0.726 (0.623)	Data 0.016 (0.003)	Loss 1.6462 (1.7317)	Prec@1 55.500 (53.889)	Prec@5 82.500 (83.055)
Epoch: [66][8920/9018]	Time 0.589 (0.623)	Data 0.001 (0.003)	Loss 1.8238 (1.7317)	Prec@1 54.500 (53.889)	Prec@5 81.000 (83.055)
Epoch: [66][8930/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8402 (1.7316)	Prec@1 55.500 (53.890)	Prec@5 81.500 (83.056)
Epoch: [66][8940/9018]	Time 0.614 (0.623)	Data 0.011 (0.003)	Loss 1.7471 (1.7317)	Prec@1 50.000 (53.889)	Prec@5 81.000 (83.055)
Epoch: [66][8950/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5345 (1.7317)	Prec@1 57.000 (53.890)	Prec@5 83.500 (83.055)
Epoch: [66][8960/9018]	Time 0.749 (0.623)	Data 0.008 (0.003)	Loss 1.6805 (1.7316)	Prec@1 56.500 (53.891)	Prec@5 83.000 (83.057)
Epoch: [66][8970/9018]	Time 0.622 (0.623)	Data 0.003 (0.003)	Loss 1.7023 (1.7316)	Prec@1 55.000 (53.892)	Prec@5 80.500 (83.057)
Epoch: [66][8980/9018]	Time 0.613 (0.623)	Data 0.016 (0.003)	Loss 1.6168 (1.7316)	Prec@1 55.000 (53.892)	Prec@5 90.000 (83.057)
Epoch: [66][8990/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.8613 (1.7316)	Prec@1 52.500 (53.892)	Prec@5 81.000 (83.058)
Epoch: [66][9000/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6473 (1.7315)	Prec@1 56.000 (53.893)	Prec@5 84.500 (83.058)
Epoch: [66][9010/9018]	Time 0.644 (0.623)	Data 0.000 (0.003)	Loss 2.0349 (1.7315)	Prec@1 44.500 (53.893)	Prec@5 75.500 (83.058)
Test: [0/183]	Time 1.558 (1.558)	Loss 2.4067 (2.4067)	Prec@1 39.500 (39.500)	Prec@5 73.000 (73.000)
Test: [10/183]	Time 0.193 (0.350)	Loss 1.5799 (1.6068)	Prec@1 60.500 (57.591)	Prec@5 86.000 (86.409)
Test: [20/183]	Time 0.196 (0.284)	Loss 1.9444 (1.5749)	Prec@1 47.000 (57.762)	Prec@5 82.000 (86.333)
Test: [30/183]	Time 0.211 (0.263)	Loss 2.2732 (1.5912)	Prec@1 33.000 (56.677)	Prec@5 77.000 (86.371)
Test: [40/183]	Time 0.206 (0.249)	Loss 2.4313 (1.6016)	Prec@1 34.500 (57.110)	Prec@5 74.000 (85.585)
Test: [50/183]	Time 0.205 (0.240)	Loss 1.4975 (1.5744)	Prec@1 56.500 (57.598)	Prec@5 89.000 (85.951)
Test: [60/183]	Time 0.187 (0.236)	Loss 1.9880 (1.6391)	Prec@1 48.500 (55.615)	Prec@5 78.500 (85.172)
Test: [70/183]	Time 0.207 (0.231)	Loss 1.7138 (1.6229)	Prec@1 50.500 (55.838)	Prec@5 87.500 (85.627)
Test: [80/183]	Time 0.213 (0.229)	Loss 1.3332 (1.6088)	Prec@1 58.500 (55.932)	Prec@5 94.500 (85.846)
Test: [90/183]	Time 0.211 (0.226)	Loss 2.1543 (1.6092)	Prec@1 44.000 (56.038)	Prec@5 75.500 (85.879)
Test: [100/183]	Time 0.184 (0.224)	Loss 0.7135 (1.6076)	Prec@1 78.000 (56.079)	Prec@5 96.000 (85.916)
Test: [110/183]	Time 0.187 (0.223)	Loss 0.6542 (1.6122)	Prec@1 84.000 (56.045)	Prec@5 97.500 (85.820)
Test: [120/183]	Time 0.207 (0.222)	Loss 2.1430 (1.6182)	Prec@1 43.000 (55.707)	Prec@5 74.000 (85.785)
Test: [130/183]	Time 0.206 (0.221)	Loss 2.9359 (1.6250)	Prec@1 18.500 (55.515)	Prec@5 72.000 (85.840)
Test: [140/183]	Time 0.210 (0.220)	Loss 1.5002 (1.6154)	Prec@1 61.500 (55.809)	Prec@5 87.500 (86.007)
Test: [150/183]	Time 0.214 (0.220)	Loss 0.6211 (1.6140)	Prec@1 83.500 (55.917)	Prec@5 99.000 (86.050)
Test: [160/183]	Time 0.227 (0.219)	Loss 1.5524 (1.6124)	Prec@1 54.500 (56.059)	Prec@5 84.000 (86.059)
Test: [170/183]	Time 0.200 (0.218)	Loss 2.0503 (1.6295)	Prec@1 37.000 (55.591)	Prec@5 84.500 (85.845)
Test: [180/183]	Time 0.192 (0.217)	Loss 1.8232 (1.6365)	Prec@1 50.000 (55.508)	Prec@5 84.000 (85.699)
 * Prec@1 55.504 Prec@5 85.690
Epoch: [67][0/9018]	Time 3.059 (3.059)	Data 2.402 (2.402)	Loss 1.6663 (1.6663)	Prec@1 52.000 (52.000)	Prec@5 86.000 (86.000)
Epoch: [67][10/9018]	Time 0.599 (0.844)	Data 0.001 (0.223)	Loss 1.6641 (1.7482)	Prec@1 59.000 (54.091)	Prec@5 81.500 (82.455)
Epoch: [67][20/9018]	Time 0.597 (0.731)	Data 0.015 (0.119)	Loss 1.5743 (1.7281)	Prec@1 57.000 (54.690)	Prec@5 83.500 (82.595)
Epoch: [67][30/9018]	Time 0.600 (0.697)	Data 0.001 (0.081)	Loss 1.6419 (1.7134)	Prec@1 52.500 (54.935)	Prec@5 85.500 (82.790)
Epoch: [67][40/9018]	Time 0.785 (0.681)	Data 0.001 (0.061)	Loss 1.8783 (1.7040)	Prec@1 50.000 (54.939)	Prec@5 76.500 (82.878)
Epoch: [67][50/9018]	Time 0.636 (0.668)	Data 0.001 (0.049)	Loss 1.7196 (1.7070)	Prec@1 54.000 (54.922)	Prec@5 83.500 (83.137)
Epoch: [67][60/9018]	Time 0.605 (0.663)	Data 0.001 (0.042)	Loss 1.6218 (1.7078)	Prec@1 60.000 (54.787)	Prec@5 87.000 (83.311)
Epoch: [67][70/9018]	Time 0.608 (0.656)	Data 0.001 (0.036)	Loss 1.5657 (1.7061)	Prec@1 56.500 (54.746)	Prec@5 87.000 (83.324)
Epoch: [67][80/9018]	Time 0.605 (0.652)	Data 0.001 (0.032)	Loss 1.8527 (1.7096)	Prec@1 50.000 (54.457)	Prec@5 80.500 (83.340)
Epoch: [67][90/9018]	Time 0.613 (0.650)	Data 0.001 (0.028)	Loss 1.7284 (1.7061)	Prec@1 51.000 (54.549)	Prec@5 87.000 (83.407)
Epoch: [67][100/9018]	Time 0.612 (0.646)	Data 0.003 (0.026)	Loss 1.7611 (1.7091)	Prec@1 54.500 (54.396)	Prec@5 81.000 (83.356)
Epoch: [67][110/9018]	Time 0.618 (0.644)	Data 0.001 (0.024)	Loss 1.5000 (1.7039)	Prec@1 60.000 (54.554)	Prec@5 83.500 (83.441)
Epoch: [67][120/9018]	Time 0.595 (0.642)	Data 0.001 (0.022)	Loss 1.7412 (1.7070)	Prec@1 53.500 (54.463)	Prec@5 82.000 (83.368)
Epoch: [67][130/9018]	Time 0.608 (0.641)	Data 0.001 (0.020)	Loss 1.6196 (1.7088)	Prec@1 57.500 (54.374)	Prec@5 86.000 (83.420)
Epoch: [67][140/9018]	Time 0.655 (0.641)	Data 0.001 (0.019)	Loss 1.5829 (1.7089)	Prec@1 57.500 (54.337)	Prec@5 85.000 (83.376)
Epoch: [67][150/9018]	Time 0.606 (0.639)	Data 0.001 (0.018)	Loss 1.5975 (1.7093)	Prec@1 56.000 (54.268)	Prec@5 85.000 (83.414)
Epoch: [67][160/9018]	Time 0.596 (0.639)	Data 0.002 (0.017)	Loss 1.8401 (1.7099)	Prec@1 54.000 (54.292)	Prec@5 80.500 (83.422)
Epoch: [67][170/9018]	Time 0.593 (0.638)	Data 0.001 (0.016)	Loss 1.7826 (1.7129)	Prec@1 51.000 (54.213)	Prec@5 81.000 (83.360)
Epoch: [67][180/9018]	Time 0.625 (0.637)	Data 0.001 (0.015)	Loss 1.7509 (1.7129)	Prec@1 52.500 (54.207)	Prec@5 79.500 (83.309)
Epoch: [67][190/9018]	Time 0.619 (0.637)	Data 0.001 (0.015)	Loss 1.6584 (1.7132)	Prec@1 57.000 (54.154)	Prec@5 86.000 (83.296)
Epoch: [67][200/9018]	Time 0.615 (0.636)	Data 0.001 (0.014)	Loss 1.7444 (1.7148)	Prec@1 54.000 (54.172)	Prec@5 83.500 (83.291)
Epoch: [67][210/9018]	Time 0.595 (0.636)	Data 0.001 (0.014)	Loss 1.7523 (1.7152)	Prec@1 54.500 (54.180)	Prec@5 81.500 (83.261)
Epoch: [67][220/9018]	Time 0.617 (0.636)	Data 0.001 (0.013)	Loss 1.6092 (1.7133)	Prec@1 53.500 (54.195)	Prec@5 86.500 (83.294)
Epoch: [67][230/9018]	Time 0.608 (0.635)	Data 0.001 (0.013)	Loss 1.7196 (1.7136)	Prec@1 55.000 (54.195)	Prec@5 84.500 (83.273)
Epoch: [67][240/9018]	Time 0.647 (0.635)	Data 0.001 (0.012)	Loss 1.6861 (1.7120)	Prec@1 57.500 (54.230)	Prec@5 84.500 (83.276)
Epoch: [67][250/9018]	Time 0.635 (0.635)	Data 0.001 (0.012)	Loss 1.4073 (1.7132)	Prec@1 61.500 (54.243)	Prec@5 91.000 (83.285)
Epoch: [67][260/9018]	Time 0.631 (0.635)	Data 0.001 (0.012)	Loss 1.6870 (1.7124)	Prec@1 51.500 (54.218)	Prec@5 85.000 (83.314)
Epoch: [67][270/9018]	Time 0.625 (0.634)	Data 0.015 (0.012)	Loss 1.6591 (1.7111)	Prec@1 55.500 (54.256)	Prec@5 87.500 (83.345)
Epoch: [67][280/9018]	Time 0.631 (0.634)	Data 0.001 (0.011)	Loss 1.7839 (1.7125)	Prec@1 50.500 (54.206)	Prec@5 81.500 (83.302)
Epoch: [67][290/9018]	Time 0.622 (0.634)	Data 0.001 (0.011)	Loss 1.8766 (1.7115)	Prec@1 50.000 (54.247)	Prec@5 82.500 (83.325)
Epoch: [67][300/9018]	Time 0.614 (0.633)	Data 0.001 (0.010)	Loss 1.7535 (1.7103)	Prec@1 51.000 (54.297)	Prec@5 83.000 (83.349)
Epoch: [67][310/9018]	Time 0.615 (0.633)	Data 0.001 (0.010)	Loss 1.7820 (1.7095)	Prec@1 54.000 (54.323)	Prec@5 81.500 (83.359)
Epoch: [67][320/9018]	Time 0.746 (0.633)	Data 0.001 (0.010)	Loss 1.7612 (1.7095)	Prec@1 51.500 (54.298)	Prec@5 84.000 (83.352)
Epoch: [67][330/9018]	Time 0.603 (0.633)	Data 0.001 (0.010)	Loss 1.5651 (1.7080)	Prec@1 56.500 (54.350)	Prec@5 88.500 (83.387)
Epoch: [67][340/9018]	Time 0.634 (0.632)	Data 0.001 (0.010)	Loss 1.4980 (1.7070)	Prec@1 58.500 (54.386)	Prec@5 86.500 (83.403)
Epoch: [67][350/9018]	Time 0.640 (0.632)	Data 0.001 (0.009)	Loss 1.8645 (1.7078)	Prec@1 54.500 (54.392)	Prec@5 83.500 (83.380)
Epoch: [67][360/9018]	Time 0.630 (0.632)	Data 0.001 (0.009)	Loss 1.7444 (1.7081)	Prec@1 57.500 (54.404)	Prec@5 80.000 (83.352)
Epoch: [67][370/9018]	Time 0.773 (0.632)	Data 0.001 (0.009)	Loss 1.6973 (1.7081)	Prec@1 53.000 (54.419)	Prec@5 83.500 (83.341)
Epoch: [67][380/9018]	Time 0.638 (0.632)	Data 0.001 (0.009)	Loss 1.6346 (1.7072)	Prec@1 57.000 (54.441)	Prec@5 86.000 (83.348)
Epoch: [67][390/9018]	Time 0.611 (0.632)	Data 0.001 (0.009)	Loss 1.7154 (1.7059)	Prec@1 53.000 (54.458)	Prec@5 84.000 (83.386)
Epoch: [67][400/9018]	Time 0.592 (0.631)	Data 0.001 (0.009)	Loss 1.8857 (1.7061)	Prec@1 49.000 (54.469)	Prec@5 79.000 (83.379)
Epoch: [67][410/9018]	Time 0.618 (0.631)	Data 0.001 (0.008)	Loss 1.5639 (1.7044)	Prec@1 53.500 (54.479)	Prec@5 89.000 (83.426)
Epoch: [67][420/9018]	Time 0.609 (0.631)	Data 0.001 (0.008)	Loss 1.7672 (1.7041)	Prec@1 53.500 (54.511)	Prec@5 82.500 (83.430)
Epoch: [67][430/9018]	Time 0.597 (0.631)	Data 0.001 (0.008)	Loss 1.8264 (1.7052)	Prec@1 46.500 (54.481)	Prec@5 82.000 (83.423)
Epoch: [67][440/9018]	Time 0.596 (0.631)	Data 0.001 (0.008)	Loss 1.5415 (1.7041)	Prec@1 55.000 (54.501)	Prec@5 89.500 (83.450)
Epoch: [67][450/9018]	Time 0.610 (0.631)	Data 0.001 (0.008)	Loss 1.5608 (1.7047)	Prec@1 57.000 (54.496)	Prec@5 85.500 (83.420)
Epoch: [67][460/9018]	Time 0.607 (0.631)	Data 0.001 (0.008)	Loss 1.5986 (1.7047)	Prec@1 58.000 (54.463)	Prec@5 82.000 (83.432)
Epoch: [67][470/9018]	Time 0.625 (0.630)	Data 0.001 (0.008)	Loss 1.8115 (1.7053)	Prec@1 57.500 (54.473)	Prec@5 81.500 (83.396)
Epoch: [67][480/9018]	Time 0.607 (0.630)	Data 0.002 (0.008)	Loss 1.4287 (1.7047)	Prec@1 57.500 (54.498)	Prec@5 88.500 (83.400)
Epoch: [67][490/9018]	Time 0.616 (0.630)	Data 0.001 (0.008)	Loss 1.6282 (1.7043)	Prec@1 53.500 (54.512)	Prec@5 86.000 (83.399)
Epoch: [67][500/9018]	Time 0.636 (0.630)	Data 0.001 (0.007)	Loss 1.6908 (1.7050)	Prec@1 59.000 (54.520)	Prec@5 80.500 (83.374)
Epoch: [67][510/9018]	Time 0.612 (0.630)	Data 0.001 (0.007)	Loss 1.6097 (1.7059)	Prec@1 55.500 (54.470)	Prec@5 84.500 (83.356)
Epoch: [67][520/9018]	Time 0.637 (0.630)	Data 0.001 (0.007)	Loss 1.5985 (1.7067)	Prec@1 57.000 (54.446)	Prec@5 82.500 (83.324)
Epoch: [67][530/9018]	Time 0.607 (0.630)	Data 0.001 (0.007)	Loss 1.7328 (1.7070)	Prec@1 55.500 (54.463)	Prec@5 84.000 (83.320)
Epoch: [67][540/9018]	Time 0.616 (0.630)	Data 0.001 (0.007)	Loss 1.7929 (1.7075)	Prec@1 50.000 (54.456)	Prec@5 81.000 (83.317)
Epoch: [67][550/9018]	Time 0.609 (0.629)	Data 0.001 (0.007)	Loss 1.4985 (1.7065)	Prec@1 59.000 (54.454)	Prec@5 86.000 (83.328)
Epoch: [67][560/9018]	Time 0.599 (0.630)	Data 0.001 (0.007)	Loss 1.3908 (1.7068)	Prec@1 64.000 (54.455)	Prec@5 92.000 (83.317)
Epoch: [67][570/9018]	Time 0.643 (0.630)	Data 0.001 (0.007)	Loss 1.7574 (1.7063)	Prec@1 55.000 (54.464)	Prec@5 78.000 (83.335)
Epoch: [67][580/9018]	Time 0.637 (0.629)	Data 0.016 (0.007)	Loss 1.8565 (1.7073)	Prec@1 49.500 (54.427)	Prec@5 81.500 (83.327)
Epoch: [67][590/9018]	Time 0.643 (0.630)	Data 0.014 (0.007)	Loss 1.6480 (1.7078)	Prec@1 55.500 (54.433)	Prec@5 84.500 (83.301)
Epoch: [67][600/9018]	Time 0.595 (0.629)	Data 0.001 (0.007)	Loss 1.5556 (1.7073)	Prec@1 56.000 (54.441)	Prec@5 86.000 (83.308)
Epoch: [67][610/9018]	Time 0.627 (0.629)	Data 0.001 (0.007)	Loss 1.8027 (1.7076)	Prec@1 55.000 (54.439)	Prec@5 81.500 (83.309)
Epoch: [67][620/9018]	Time 0.605 (0.629)	Data 0.001 (0.006)	Loss 1.5849 (1.7086)	Prec@1 58.000 (54.420)	Prec@5 88.000 (83.307)
Epoch: [67][630/9018]	Time 0.642 (0.629)	Data 0.015 (0.006)	Loss 1.9390 (1.7088)	Prec@1 48.500 (54.406)	Prec@5 81.000 (83.298)
Epoch: [67][640/9018]	Time 0.602 (0.629)	Data 0.001 (0.006)	Loss 1.6234 (1.7087)	Prec@1 58.500 (54.388)	Prec@5 83.500 (83.304)
Epoch: [67][650/9018]	Time 0.773 (0.629)	Data 0.001 (0.006)	Loss 1.9778 (1.7091)	Prec@1 48.000 (54.386)	Prec@5 80.500 (83.305)
Epoch: [67][660/9018]	Time 0.623 (0.629)	Data 0.001 (0.006)	Loss 1.7161 (1.7080)	Prec@1 57.500 (54.403)	Prec@5 83.000 (83.328)
Epoch: [67][670/9018]	Time 0.618 (0.629)	Data 0.001 (0.006)	Loss 1.7813 (1.7077)	Prec@1 52.500 (54.414)	Prec@5 82.500 (83.344)
Epoch: [67][680/9018]	Time 0.612 (0.629)	Data 0.017 (0.006)	Loss 1.5295 (1.7079)	Prec@1 57.500 (54.412)	Prec@5 88.500 (83.353)
Epoch: [67][690/9018]	Time 0.595 (0.629)	Data 0.017 (0.006)	Loss 1.7628 (1.7078)	Prec@1 50.500 (54.415)	Prec@5 84.500 (83.359)
Epoch: [67][700/9018]	Time 0.803 (0.629)	Data 0.001 (0.006)	Loss 1.8015 (1.7086)	Prec@1 49.500 (54.413)	Prec@5 83.500 (83.346)
Epoch: [67][710/9018]	Time 0.604 (0.629)	Data 0.001 (0.006)	Loss 1.6780 (1.7086)	Prec@1 55.000 (54.407)	Prec@5 83.000 (83.350)
Epoch: [67][720/9018]	Time 0.625 (0.629)	Data 0.001 (0.006)	Loss 1.4303 (1.7090)	Prec@1 60.500 (54.420)	Prec@5 88.000 (83.338)
Epoch: [67][730/9018]	Time 0.632 (0.629)	Data 0.001 (0.006)	Loss 1.7180 (1.7093)	Prec@1 52.500 (54.397)	Prec@5 84.000 (83.341)
Epoch: [67][740/9018]	Time 0.595 (0.629)	Data 0.001 (0.006)	Loss 1.8047 (1.7088)	Prec@1 53.000 (54.417)	Prec@5 82.500 (83.360)
Epoch: [67][750/9018]	Time 0.610 (0.629)	Data 0.001 (0.006)	Loss 1.8509 (1.7089)	Prec@1 50.000 (54.417)	Prec@5 83.000 (83.358)
Epoch: [67][760/9018]	Time 0.631 (0.629)	Data 0.017 (0.006)	Loss 1.8083 (1.7095)	Prec@1 51.500 (54.402)	Prec@5 79.000 (83.346)
Epoch: [67][770/9018]	Time 0.618 (0.629)	Data 0.001 (0.006)	Loss 2.0360 (1.7098)	Prec@1 47.000 (54.404)	Prec@5 75.000 (83.345)
Epoch: [67][780/9018]	Time 0.605 (0.629)	Data 0.001 (0.006)	Loss 1.6926 (1.7093)	Prec@1 54.500 (54.424)	Prec@5 85.500 (83.353)
Epoch: [67][790/9018]	Time 0.606 (0.629)	Data 0.001 (0.006)	Loss 1.7006 (1.7092)	Prec@1 54.000 (54.421)	Prec@5 83.000 (83.343)
Epoch: [67][800/9018]	Time 0.635 (0.629)	Data 0.001 (0.006)	Loss 1.7246 (1.7098)	Prec@1 52.500 (54.409)	Prec@5 81.000 (83.338)
Epoch: [67][810/9018]	Time 0.643 (0.628)	Data 0.001 (0.006)	Loss 1.6924 (1.7094)	Prec@1 53.500 (54.407)	Prec@5 83.500 (83.353)
Epoch: [67][820/9018]	Time 0.626 (0.629)	Data 0.001 (0.006)	Loss 1.7959 (1.7102)	Prec@1 48.000 (54.400)	Prec@5 80.000 (83.340)
Epoch: [67][830/9018]	Time 0.640 (0.628)	Data 0.001 (0.005)	Loss 1.6657 (1.7105)	Prec@1 58.500 (54.396)	Prec@5 83.500 (83.334)
Epoch: [67][840/9018]	Time 0.629 (0.628)	Data 0.001 (0.005)	Loss 1.8397 (1.7107)	Prec@1 50.500 (54.392)	Prec@5 80.500 (83.335)
Epoch: [67][850/9018]	Time 0.599 (0.628)	Data 0.001 (0.005)	Loss 1.8181 (1.7109)	Prec@1 60.000 (54.387)	Prec@5 79.000 (83.335)
Epoch: [67][860/9018]	Time 0.599 (0.628)	Data 0.001 (0.005)	Loss 1.7833 (1.7113)	Prec@1 54.500 (54.384)	Prec@5 82.000 (83.330)
Epoch: [67][870/9018]	Time 0.623 (0.628)	Data 0.001 (0.005)	Loss 1.6925 (1.7114)	Prec@1 54.500 (54.378)	Prec@5 85.000 (83.323)
Epoch: [67][880/9018]	Time 0.635 (0.628)	Data 0.016 (0.005)	Loss 1.6627 (1.7113)	Prec@1 55.500 (54.394)	Prec@5 85.000 (83.317)
Epoch: [67][890/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 1.6550 (1.7119)	Prec@1 52.500 (54.377)	Prec@5 83.500 (83.300)
Epoch: [67][900/9018]	Time 0.623 (0.628)	Data 0.013 (0.005)	Loss 1.6641 (1.7122)	Prec@1 55.500 (54.370)	Prec@5 85.000 (83.301)
Epoch: [67][910/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 1.8634 (1.7126)	Prec@1 52.500 (54.362)	Prec@5 81.000 (83.294)
Epoch: [67][920/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 1.7765 (1.7123)	Prec@1 51.500 (54.376)	Prec@5 82.500 (83.299)
Epoch: [67][930/9018]	Time 0.607 (0.628)	Data 0.001 (0.005)	Loss 1.8647 (1.7128)	Prec@1 51.000 (54.355)	Prec@5 82.000 (83.293)
Epoch: [67][940/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 1.6361 (1.7127)	Prec@1 58.500 (54.359)	Prec@5 83.000 (83.297)
Epoch: [67][950/9018]	Time 0.625 (0.628)	Data 0.017 (0.005)	Loss 1.6550 (1.7125)	Prec@1 57.500 (54.365)	Prec@5 84.000 (83.300)
Epoch: [67][960/9018]	Time 0.645 (0.628)	Data 0.001 (0.005)	Loss 1.8129 (1.7122)	Prec@1 52.000 (54.386)	Prec@5 82.000 (83.306)
Epoch: [67][970/9018]	Time 0.635 (0.628)	Data 0.008 (0.005)	Loss 1.5781 (1.7126)	Prec@1 57.000 (54.364)	Prec@5 87.500 (83.308)
Epoch: [67][980/9018]	Time 0.811 (0.628)	Data 0.001 (0.005)	Loss 1.7963 (1.7136)	Prec@1 53.500 (54.338)	Prec@5 85.000 (83.306)
Epoch: [67][990/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 1.7433 (1.7136)	Prec@1 57.000 (54.339)	Prec@5 83.500 (83.300)
Epoch: [67][1000/9018]	Time 0.591 (0.628)	Data 0.001 (0.005)	Loss 1.8527 (1.7133)	Prec@1 43.500 (54.334)	Prec@5 83.000 (83.311)
Epoch: [67][1010/9018]	Time 0.594 (0.628)	Data 0.001 (0.005)	Loss 1.9611 (1.7141)	Prec@1 48.000 (54.327)	Prec@5 81.000 (83.305)
Epoch: [67][1020/9018]	Time 0.597 (0.628)	Data 0.001 (0.005)	Loss 1.6345 (1.7139)	Prec@1 56.500 (54.330)	Prec@5 85.500 (83.307)
Epoch: [67][1030/9018]	Time 0.777 (0.628)	Data 0.001 (0.005)	Loss 1.7894 (1.7131)	Prec@1 53.500 (54.347)	Prec@5 83.000 (83.322)
Epoch: [67][1040/9018]	Time 0.635 (0.628)	Data 0.001 (0.005)	Loss 1.6139 (1.7137)	Prec@1 56.500 (54.339)	Prec@5 84.500 (83.310)
Epoch: [67][1050/9018]	Time 0.624 (0.628)	Data 0.001 (0.005)	Loss 1.9182 (1.7136)	Prec@1 49.000 (54.337)	Prec@5 78.000 (83.304)
Epoch: [67][1060/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.8079 (1.7143)	Prec@1 48.500 (54.308)	Prec@5 80.500 (83.294)
Epoch: [67][1070/9018]	Time 0.596 (0.628)	Data 0.001 (0.005)	Loss 1.6490 (1.7149)	Prec@1 51.000 (54.287)	Prec@5 84.500 (83.283)
Epoch: [67][1080/9018]	Time 0.628 (0.628)	Data 0.001 (0.005)	Loss 1.8032 (1.7152)	Prec@1 55.000 (54.280)	Prec@5 83.000 (83.272)
Epoch: [67][1090/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 1.7311 (1.7153)	Prec@1 52.000 (54.280)	Prec@5 82.000 (83.269)
Epoch: [67][1100/9018]	Time 0.604 (0.628)	Data 0.001 (0.005)	Loss 1.6212 (1.7150)	Prec@1 55.000 (54.279)	Prec@5 82.500 (83.266)
Epoch: [67][1110/9018]	Time 0.636 (0.628)	Data 0.017 (0.005)	Loss 1.8245 (1.7150)	Prec@1 56.500 (54.288)	Prec@5 82.000 (83.262)
Epoch: [67][1120/9018]	Time 0.627 (0.628)	Data 0.001 (0.005)	Loss 1.7278 (1.7150)	Prec@1 53.500 (54.283)	Prec@5 82.000 (83.262)
Epoch: [67][1130/9018]	Time 0.662 (0.628)	Data 0.001 (0.005)	Loss 1.6529 (1.7144)	Prec@1 55.000 (54.301)	Prec@5 86.500 (83.277)
Epoch: [67][1140/9018]	Time 0.601 (0.628)	Data 0.001 (0.005)	Loss 1.7113 (1.7143)	Prec@1 56.500 (54.310)	Prec@5 82.500 (83.280)
Epoch: [67][1150/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.6741 (1.7149)	Prec@1 54.500 (54.297)	Prec@5 83.000 (83.269)
Epoch: [67][1160/9018]	Time 0.590 (0.628)	Data 0.001 (0.005)	Loss 1.6790 (1.7147)	Prec@1 53.500 (54.292)	Prec@5 84.500 (83.278)
Epoch: [67][1170/9018]	Time 0.599 (0.628)	Data 0.001 (0.005)	Loss 1.7874 (1.7146)	Prec@1 55.000 (54.289)	Prec@5 83.000 (83.284)
Epoch: [67][1180/9018]	Time 0.627 (0.628)	Data 0.001 (0.005)	Loss 1.8572 (1.7147)	Prec@1 52.000 (54.285)	Prec@5 83.000 (83.285)
Epoch: [67][1190/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.5708 (1.7143)	Prec@1 59.000 (54.298)	Prec@5 86.500 (83.291)
Epoch: [67][1200/9018]	Time 0.594 (0.628)	Data 0.001 (0.005)	Loss 1.7327 (1.7143)	Prec@1 53.500 (54.297)	Prec@5 83.000 (83.285)
Epoch: [67][1210/9018]	Time 0.609 (0.628)	Data 0.001 (0.005)	Loss 1.7145 (1.7139)	Prec@1 56.000 (54.298)	Prec@5 84.500 (83.289)
Epoch: [67][1220/9018]	Time 0.630 (0.628)	Data 0.001 (0.005)	Loss 1.5095 (1.7134)	Prec@1 57.000 (54.302)	Prec@5 87.000 (83.294)
Epoch: [67][1230/9018]	Time 0.616 (0.628)	Data 0.001 (0.005)	Loss 1.6590 (1.7134)	Prec@1 53.500 (54.300)	Prec@5 80.500 (83.300)
Epoch: [67][1240/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.6612 (1.7136)	Prec@1 54.500 (54.289)	Prec@5 85.000 (83.310)
Epoch: [67][1250/9018]	Time 0.607 (0.628)	Data 0.013 (0.005)	Loss 1.5059 (1.7134)	Prec@1 60.500 (54.298)	Prec@5 87.000 (83.308)
Epoch: [67][1260/9018]	Time 0.600 (0.627)	Data 0.001 (0.005)	Loss 1.7304 (1.7138)	Prec@1 54.500 (54.284)	Prec@5 82.500 (83.303)
Epoch: [67][1270/9018]	Time 0.640 (0.628)	Data 0.001 (0.005)	Loss 1.6342 (1.7140)	Prec@1 55.500 (54.287)	Prec@5 85.500 (83.287)
Epoch: [67][1280/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.9113 (1.7140)	Prec@1 54.000 (54.291)	Prec@5 82.000 (83.292)
Epoch: [67][1290/9018]	Time 0.634 (0.628)	Data 0.001 (0.005)	Loss 1.8093 (1.7142)	Prec@1 50.000 (54.284)	Prec@5 84.500 (83.287)
Epoch: [67][1300/9018]	Time 0.611 (0.628)	Data 0.001 (0.005)	Loss 1.8557 (1.7143)	Prec@1 53.500 (54.286)	Prec@5 82.000 (83.284)
Epoch: [67][1310/9018]	Time 0.787 (0.628)	Data 0.001 (0.005)	Loss 1.8711 (1.7147)	Prec@1 53.500 (54.276)	Prec@5 81.000 (83.275)
Epoch: [67][1320/9018]	Time 0.626 (0.628)	Data 0.001 (0.005)	Loss 1.5364 (1.7150)	Prec@1 59.000 (54.265)	Prec@5 84.500 (83.272)
Epoch: [67][1330/9018]	Time 0.602 (0.628)	Data 0.001 (0.005)	Loss 1.7372 (1.7150)	Prec@1 55.000 (54.263)	Prec@5 84.000 (83.272)
Epoch: [67][1340/9018]	Time 0.602 (0.628)	Data 0.001 (0.005)	Loss 1.6888 (1.7152)	Prec@1 58.000 (54.252)	Prec@5 81.000 (83.270)
Epoch: [67][1350/9018]	Time 0.611 (0.628)	Data 0.007 (0.005)	Loss 1.7513 (1.7151)	Prec@1 57.500 (54.251)	Prec@5 84.000 (83.269)
Epoch: [67][1360/9018]	Time 0.784 (0.628)	Data 0.001 (0.005)	Loss 1.6952 (1.7153)	Prec@1 57.000 (54.259)	Prec@5 82.000 (83.267)
Epoch: [67][1370/9018]	Time 0.620 (0.628)	Data 0.001 (0.005)	Loss 1.6439 (1.7155)	Prec@1 59.000 (54.262)	Prec@5 84.000 (83.267)
Epoch: [67][1380/9018]	Time 0.604 (0.628)	Data 0.001 (0.005)	Loss 1.7274 (1.7155)	Prec@1 55.000 (54.260)	Prec@5 85.500 (83.270)
Epoch: [67][1390/9018]	Time 0.618 (0.628)	Data 0.001 (0.005)	Loss 1.7958 (1.7151)	Prec@1 57.000 (54.267)	Prec@5 79.500 (83.279)
Epoch: [67][1400/9018]	Time 0.606 (0.628)	Data 0.001 (0.005)	Loss 1.8204 (1.7151)	Prec@1 53.500 (54.274)	Prec@5 83.000 (83.282)
Epoch: [67][1410/9018]	Time 0.634 (0.628)	Data 0.015 (0.005)	Loss 1.8177 (1.7156)	Prec@1 53.500 (54.263)	Prec@5 82.000 (83.273)
Epoch: [67][1420/9018]	Time 0.613 (0.627)	Data 0.001 (0.005)	Loss 1.8123 (1.7160)	Prec@1 47.500 (54.249)	Prec@5 83.500 (83.271)
Epoch: [67][1430/9018]	Time 0.636 (0.627)	Data 0.001 (0.005)	Loss 1.4585 (1.7159)	Prec@1 61.000 (54.252)	Prec@5 87.000 (83.267)
Epoch: [67][1440/9018]	Time 0.643 (0.627)	Data 0.001 (0.005)	Loss 1.6730 (1.7163)	Prec@1 55.500 (54.241)	Prec@5 83.500 (83.258)
Epoch: [67][1450/9018]	Time 0.643 (0.627)	Data 0.014 (0.005)	Loss 1.5243 (1.7162)	Prec@1 58.500 (54.249)	Prec@5 87.000 (83.260)
Epoch: [67][1460/9018]	Time 0.648 (0.627)	Data 0.001 (0.004)	Loss 1.5669 (1.7159)	Prec@1 57.500 (54.253)	Prec@5 83.000 (83.264)
Epoch: [67][1470/9018]	Time 0.616 (0.627)	Data 0.001 (0.004)	Loss 1.6790 (1.7159)	Prec@1 50.500 (54.245)	Prec@5 83.500 (83.270)
Epoch: [67][1480/9018]	Time 0.604 (0.627)	Data 0.001 (0.004)	Loss 1.8160 (1.7160)	Prec@1 54.000 (54.245)	Prec@5 85.500 (83.271)
Epoch: [67][1490/9018]	Time 0.622 (0.627)	Data 0.001 (0.004)	Loss 1.8980 (1.7165)	Prec@1 49.500 (54.228)	Prec@5 78.500 (83.265)
Epoch: [67][1500/9018]	Time 0.625 (0.627)	Data 0.001 (0.004)	Loss 1.7419 (1.7166)	Prec@1 52.000 (54.233)	Prec@5 80.500 (83.266)
Epoch: [67][1510/9018]	Time 0.605 (0.627)	Data 0.001 (0.004)	Loss 1.7579 (1.7168)	Prec@1 53.500 (54.228)	Prec@5 86.000 (83.261)
Epoch: [67][1520/9018]	Time 0.617 (0.627)	Data 0.001 (0.004)	Loss 1.5578 (1.7168)	Prec@1 55.500 (54.230)	Prec@5 87.000 (83.264)
Epoch: [67][1530/9018]	Time 0.592 (0.627)	Data 0.001 (0.004)	Loss 1.6077 (1.7171)	Prec@1 56.500 (54.223)	Prec@5 88.000 (83.259)
Epoch: [67][1540/9018]	Time 0.617 (0.627)	Data 0.001 (0.004)	Loss 1.7587 (1.7174)	Prec@1 55.000 (54.214)	Prec@5 81.000 (83.255)
Epoch: [67][1550/9018]	Time 0.609 (0.627)	Data 0.001 (0.004)	Loss 1.4931 (1.7176)	Prec@1 59.000 (54.202)	Prec@5 86.000 (83.248)
Epoch: [67][1560/9018]	Time 0.617 (0.628)	Data 0.001 (0.004)	Loss 1.7551 (1.7176)	Prec@1 50.000 (54.197)	Prec@5 83.000 (83.245)
Epoch: [67][1570/9018]	Time 0.594 (0.627)	Data 0.001 (0.004)	Loss 1.6458 (1.7176)	Prec@1 56.500 (54.197)	Prec@5 84.000 (83.246)
Epoch: [67][1580/9018]	Time 0.592 (0.627)	Data 0.001 (0.004)	Loss 1.6492 (1.7176)	Prec@1 53.500 (54.194)	Prec@5 82.000 (83.250)
Epoch: [67][1590/9018]	Time 0.595 (0.627)	Data 0.001 (0.004)	Loss 1.8149 (1.7181)	Prec@1 52.000 (54.185)	Prec@5 80.500 (83.242)
Epoch: [67][1600/9018]	Time 0.619 (0.627)	Data 0.001 (0.004)	Loss 1.7206 (1.7185)	Prec@1 54.000 (54.176)	Prec@5 84.500 (83.236)
Epoch: [67][1610/9018]	Time 0.591 (0.627)	Data 0.001 (0.004)	Loss 1.4657 (1.7185)	Prec@1 56.500 (54.181)	Prec@5 88.000 (83.232)
Epoch: [67][1620/9018]	Time 0.630 (0.627)	Data 0.001 (0.004)	Loss 1.8898 (1.7186)	Prec@1 49.000 (54.181)	Prec@5 80.000 (83.232)
Epoch: [67][1630/9018]	Time 0.616 (0.627)	Data 0.013 (0.004)	Loss 1.8032 (1.7189)	Prec@1 49.500 (54.174)	Prec@5 84.500 (83.228)
Epoch: [67][1640/9018]	Time 0.836 (0.627)	Data 0.001 (0.004)	Loss 1.7302 (1.7188)	Prec@1 53.500 (54.173)	Prec@5 82.500 (83.229)
Epoch: [67][1650/9018]	Time 0.599 (0.627)	Data 0.001 (0.004)	Loss 1.8014 (1.7189)	Prec@1 51.500 (54.170)	Prec@5 83.000 (83.231)
Epoch: [67][1660/9018]	Time 0.596 (0.627)	Data 0.001 (0.004)	Loss 1.6912 (1.7189)	Prec@1 53.500 (54.165)	Prec@5 84.000 (83.228)
Epoch: [67][1670/9018]	Time 0.604 (0.627)	Data 0.001 (0.004)	Loss 1.5056 (1.7188)	Prec@1 60.000 (54.171)	Prec@5 86.500 (83.233)
Epoch: [67][1680/9018]	Time 0.615 (0.627)	Data 0.016 (0.004)	Loss 1.7931 (1.7188)	Prec@1 50.000 (54.168)	Prec@5 80.000 (83.232)
Epoch: [67][1690/9018]	Time 0.770 (0.627)	Data 0.001 (0.004)	Loss 1.7440 (1.7187)	Prec@1 51.500 (54.169)	Prec@5 82.500 (83.238)
Epoch: [67][1700/9018]	Time 0.590 (0.627)	Data 0.001 (0.004)	Loss 1.8433 (1.7188)	Prec@1 55.000 (54.165)	Prec@5 81.000 (83.234)
Epoch: [67][1710/9018]	Time 0.643 (0.627)	Data 0.001 (0.004)	Loss 1.8740 (1.7188)	Prec@1 51.500 (54.167)	Prec@5 81.500 (83.236)
Epoch: [67][1720/9018]	Time 0.607 (0.627)	Data 0.001 (0.004)	Loss 1.7308 (1.7189)	Prec@1 55.500 (54.161)	Prec@5 82.500 (83.239)
Epoch: [67][1730/9018]	Time 0.592 (0.627)	Data 0.001 (0.004)	Loss 1.6764 (1.7193)	Prec@1 52.500 (54.152)	Prec@5 81.000 (83.227)
Epoch: [67][1740/9018]	Time 0.635 (0.627)	Data 0.001 (0.004)	Loss 1.7273 (1.7195)	Prec@1 53.500 (54.152)	Prec@5 81.000 (83.222)
Epoch: [67][1750/9018]	Time 0.603 (0.627)	Data 0.001 (0.004)	Loss 1.7213 (1.7197)	Prec@1 54.000 (54.140)	Prec@5 85.000 (83.217)
Epoch: [67][1760/9018]	Time 0.648 (0.627)	Data 0.001 (0.004)	Loss 1.7630 (1.7194)	Prec@1 50.000 (54.141)	Prec@5 84.500 (83.222)
Epoch: [67][1770/9018]	Time 0.627 (0.627)	Data 0.001 (0.004)	Loss 1.5625 (1.7191)	Prec@1 57.000 (54.147)	Prec@5 86.500 (83.230)
Epoch: [67][1780/9018]	Time 0.594 (0.627)	Data 0.001 (0.004)	Loss 1.7686 (1.7192)	Prec@1 53.500 (54.155)	Prec@5 81.000 (83.227)
Epoch: [67][1790/9018]	Time 0.629 (0.627)	Data 0.016 (0.004)	Loss 1.8074 (1.7192)	Prec@1 55.500 (54.162)	Prec@5 79.000 (83.224)
Epoch: [67][1800/9018]	Time 0.622 (0.627)	Data 0.001 (0.004)	Loss 1.7910 (1.7191)	Prec@1 49.000 (54.170)	Prec@5 82.500 (83.232)
Epoch: [67][1810/9018]	Time 0.592 (0.627)	Data 0.001 (0.004)	Loss 1.7085 (1.7192)	Prec@1 55.000 (54.168)	Prec@5 85.000 (83.233)
Epoch: [67][1820/9018]	Time 0.630 (0.627)	Data 0.014 (0.004)	Loss 1.6618 (1.7190)	Prec@1 51.500 (54.166)	Prec@5 85.000 (83.237)
Epoch: [67][1830/9018]	Time 0.613 (0.627)	Data 0.001 (0.004)	Loss 1.6377 (1.7193)	Prec@1 56.000 (54.166)	Prec@5 83.000 (83.232)
Epoch: [67][1840/9018]	Time 0.602 (0.627)	Data 0.001 (0.004)	Loss 1.8897 (1.7192)	Prec@1 48.000 (54.168)	Prec@5 82.500 (83.232)
Epoch: [67][1850/9018]	Time 0.622 (0.627)	Data 0.001 (0.004)	Loss 1.6998 (1.7191)	Prec@1 54.500 (54.169)	Prec@5 84.000 (83.234)
Epoch: [67][1860/9018]	Time 0.607 (0.627)	Data 0.001 (0.004)	Loss 1.7270 (1.7192)	Prec@1 56.000 (54.180)	Prec@5 80.500 (83.230)
Epoch: [67][1870/9018]	Time 0.624 (0.627)	Data 0.001 (0.004)	Loss 1.8616 (1.7192)	Prec@1 50.500 (54.180)	Prec@5 83.500 (83.230)
Epoch: [67][1880/9018]	Time 0.590 (0.627)	Data 0.001 (0.004)	Loss 1.6350 (1.7193)	Prec@1 55.000 (54.180)	Prec@5 87.000 (83.227)
Epoch: [67][1890/9018]	Time 0.605 (0.627)	Data 0.001 (0.004)	Loss 1.8908 (1.7194)	Prec@1 51.500 (54.175)	Prec@5 82.500 (83.224)
Epoch: [67][1900/9018]	Time 0.615 (0.627)	Data 0.001 (0.004)	Loss 1.7750 (1.7196)	Prec@1 53.500 (54.171)	Prec@5 85.500 (83.222)
Epoch: [67][1910/9018]	Time 0.634 (0.627)	Data 0.009 (0.004)	Loss 1.7924 (1.7200)	Prec@1 51.500 (54.165)	Prec@5 80.500 (83.213)
Epoch: [67][1920/9018]	Time 0.634 (0.627)	Data 0.001 (0.004)	Loss 1.7743 (1.7201)	Prec@1 50.500 (54.157)	Prec@5 84.000 (83.218)
Epoch: [67][1930/9018]	Time 0.598 (0.627)	Data 0.001 (0.004)	Loss 1.8117 (1.7199)	Prec@1 48.000 (54.156)	Prec@5 81.000 (83.222)
Epoch: [67][1940/9018]	Time 0.618 (0.627)	Data 0.001 (0.004)	Loss 1.5615 (1.7196)	Prec@1 62.500 (54.167)	Prec@5 87.500 (83.233)
Epoch: [67][1950/9018]	Time 0.610 (0.627)	Data 0.001 (0.004)	Loss 1.5844 (1.7194)	Prec@1 57.500 (54.168)	Prec@5 85.000 (83.234)
Epoch: [67][1960/9018]	Time 0.619 (0.627)	Data 0.001 (0.004)	Loss 1.8145 (1.7196)	Prec@1 54.500 (54.167)	Prec@5 83.000 (83.232)
Epoch: [67][1970/9018]	Time 0.739 (0.627)	Data 0.001 (0.004)	Loss 1.7593 (1.7193)	Prec@1 53.000 (54.171)	Prec@5 83.000 (83.237)
Epoch: [67][1980/9018]	Time 0.594 (0.627)	Data 0.001 (0.004)	Loss 1.5978 (1.7192)	Prec@1 57.000 (54.174)	Prec@5 86.500 (83.242)
Epoch: [67][1990/9018]	Time 0.608 (0.627)	Data 0.001 (0.004)	Loss 1.5754 (1.7190)	Prec@1 58.000 (54.179)	Prec@5 85.500 (83.244)
Epoch: [67][2000/9018]	Time 0.635 (0.627)	Data 0.001 (0.004)	Loss 1.8083 (1.7190)	Prec@1 53.000 (54.176)	Prec@5 83.500 (83.250)
Epoch: [67][2010/9018]	Time 0.627 (0.627)	Data 0.001 (0.004)	Loss 1.5663 (1.7188)	Prec@1 56.000 (54.181)	Prec@5 83.000 (83.248)
Epoch: [67][2020/9018]	Time 0.785 (0.627)	Data 0.017 (0.004)	Loss 1.7791 (1.7187)	Prec@1 54.000 (54.189)	Prec@5 81.500 (83.248)
Epoch: [67][2030/9018]	Time 0.644 (0.627)	Data 0.001 (0.004)	Loss 1.6968 (1.7187)	Prec@1 53.000 (54.191)	Prec@5 86.000 (83.250)
Epoch: [67][2040/9018]	Time 0.605 (0.627)	Data 0.001 (0.004)	Loss 1.8298 (1.7188)	Prec@1 50.000 (54.187)	Prec@5 79.500 (83.248)
Epoch: [67][2050/9018]	Time 0.607 (0.627)	Data 0.001 (0.004)	Loss 1.7872 (1.7187)	Prec@1 55.500 (54.198)	Prec@5 81.500 (83.248)
Epoch: [67][2060/9018]	Time 0.616 (0.627)	Data 0.001 (0.004)	Loss 1.5583 (1.7185)	Prec@1 58.500 (54.203)	Prec@5 82.500 (83.247)
Epoch: [67][2070/9018]	Time 0.642 (0.627)	Data 0.001 (0.004)	Loss 1.6663 (1.7184)	Prec@1 55.000 (54.207)	Prec@5 83.000 (83.246)
Epoch: [67][2080/9018]	Time 0.606 (0.627)	Data 0.001 (0.004)	Loss 1.7008 (1.7182)	Prec@1 55.000 (54.215)	Prec@5 83.500 (83.246)
Epoch: [67][2090/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.8455 (1.7184)	Prec@1 56.500 (54.215)	Prec@5 79.000 (83.236)
Epoch: [67][2100/9018]	Time 0.642 (0.626)	Data 0.001 (0.004)	Loss 1.6395 (1.7181)	Prec@1 56.000 (54.229)	Prec@5 84.500 (83.240)
Epoch: [67][2110/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.8324 (1.7181)	Prec@1 55.000 (54.230)	Prec@5 80.000 (83.238)
Epoch: [67][2120/9018]	Time 0.629 (0.627)	Data 0.016 (0.004)	Loss 1.5104 (1.7178)	Prec@1 53.000 (54.230)	Prec@5 86.500 (83.244)
Epoch: [67][2130/9018]	Time 0.631 (0.626)	Data 0.001 (0.004)	Loss 1.6085 (1.7179)	Prec@1 53.000 (54.229)	Prec@5 82.000 (83.241)
Epoch: [67][2140/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 2.0894 (1.7181)	Prec@1 49.000 (54.225)	Prec@5 79.000 (83.241)
Epoch: [67][2150/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 1.5966 (1.7182)	Prec@1 58.000 (54.224)	Prec@5 86.000 (83.238)
Epoch: [67][2160/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.7680 (1.7185)	Prec@1 55.000 (54.213)	Prec@5 82.500 (83.233)
Epoch: [67][2170/9018]	Time 0.648 (0.626)	Data 0.001 (0.004)	Loss 1.5385 (1.7184)	Prec@1 59.500 (54.211)	Prec@5 86.000 (83.237)
Epoch: [67][2180/9018]	Time 0.605 (0.626)	Data 0.014 (0.004)	Loss 1.5862 (1.7184)	Prec@1 57.500 (54.206)	Prec@5 84.000 (83.239)
Epoch: [67][2190/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.9296 (1.7186)	Prec@1 51.000 (54.202)	Prec@5 79.000 (83.236)
Epoch: [67][2200/9018]	Time 0.622 (0.626)	Data 0.017 (0.004)	Loss 1.5506 (1.7185)	Prec@1 59.500 (54.196)	Prec@5 87.000 (83.240)
Epoch: [67][2210/9018]	Time 0.660 (0.626)	Data 0.001 (0.004)	Loss 1.8203 (1.7185)	Prec@1 50.000 (54.194)	Prec@5 81.000 (83.240)
Epoch: [67][2220/9018]	Time 0.617 (0.626)	Data 0.006 (0.004)	Loss 1.5989 (1.7184)	Prec@1 56.500 (54.195)	Prec@5 84.500 (83.240)
Epoch: [67][2230/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.8165 (1.7186)	Prec@1 54.000 (54.193)	Prec@5 81.500 (83.238)
Epoch: [67][2240/9018]	Time 0.592 (0.626)	Data 0.001 (0.004)	Loss 1.6935 (1.7189)	Prec@1 58.500 (54.185)	Prec@5 85.000 (83.232)
Epoch: [67][2250/9018]	Time 0.814 (0.626)	Data 0.014 (0.004)	Loss 1.7894 (1.7187)	Prec@1 53.500 (54.191)	Prec@5 83.500 (83.230)
Epoch: [67][2260/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 1.8507 (1.7187)	Prec@1 53.000 (54.188)	Prec@5 81.500 (83.231)
Epoch: [67][2270/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.7542 (1.7187)	Prec@1 53.000 (54.189)	Prec@5 81.500 (83.232)
Epoch: [67][2280/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 1.8144 (1.7189)	Prec@1 48.500 (54.178)	Prec@5 84.000 (83.231)
Epoch: [67][2290/9018]	Time 0.625 (0.626)	Data 0.002 (0.004)	Loss 1.7550 (1.7191)	Prec@1 54.000 (54.177)	Prec@5 81.500 (83.223)
Epoch: [67][2300/9018]	Time 0.755 (0.626)	Data 0.001 (0.004)	Loss 1.6344 (1.7192)	Prec@1 59.000 (54.176)	Prec@5 82.000 (83.221)
Epoch: [67][2310/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.6508 (1.7191)	Prec@1 58.000 (54.178)	Prec@5 84.000 (83.225)
Epoch: [67][2320/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 1.7240 (1.7190)	Prec@1 54.000 (54.178)	Prec@5 82.500 (83.224)
Epoch: [67][2330/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.6394 (1.7190)	Prec@1 52.000 (54.172)	Prec@5 86.000 (83.226)
Epoch: [67][2340/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 1.6310 (1.7188)	Prec@1 57.500 (54.175)	Prec@5 86.500 (83.233)
Epoch: [67][2350/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.9176 (1.7189)	Prec@1 52.000 (54.171)	Prec@5 80.000 (83.228)
Epoch: [67][2360/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.5836 (1.7187)	Prec@1 54.500 (54.173)	Prec@5 84.000 (83.229)
Epoch: [67][2370/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.6947 (1.7186)	Prec@1 57.500 (54.176)	Prec@5 83.000 (83.233)
Epoch: [67][2380/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.7129 (1.7186)	Prec@1 54.000 (54.175)	Prec@5 79.500 (83.232)
Epoch: [67][2390/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 1.7300 (1.7187)	Prec@1 52.000 (54.168)	Prec@5 82.500 (83.232)
Epoch: [67][2400/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.7336 (1.7188)	Prec@1 56.500 (54.168)	Prec@5 83.500 (83.230)
Epoch: [67][2410/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.7198 (1.7188)	Prec@1 51.000 (54.169)	Prec@5 83.000 (83.226)
Epoch: [67][2420/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.7295 (1.7187)	Prec@1 57.500 (54.175)	Prec@5 81.000 (83.232)
Epoch: [67][2430/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.7615 (1.7190)	Prec@1 51.500 (54.176)	Prec@5 83.000 (83.228)
Epoch: [67][2440/9018]	Time 0.606 (0.626)	Data 0.001 (0.004)	Loss 1.6939 (1.7187)	Prec@1 52.500 (54.180)	Prec@5 84.500 (83.233)
Epoch: [67][2450/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.7174 (1.7186)	Prec@1 53.000 (54.181)	Prec@5 81.500 (83.234)
Epoch: [67][2460/9018]	Time 0.615 (0.626)	Data 0.002 (0.004)	Loss 1.6752 (1.7186)	Prec@1 55.500 (54.179)	Prec@5 83.000 (83.236)
Epoch: [67][2470/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.7760 (1.7189)	Prec@1 55.000 (54.169)	Prec@5 82.000 (83.231)
Epoch: [67][2480/9018]	Time 0.628 (0.626)	Data 0.001 (0.004)	Loss 1.5338 (1.7186)	Prec@1 55.500 (54.172)	Prec@5 86.000 (83.234)
Epoch: [67][2490/9018]	Time 0.628 (0.626)	Data 0.001 (0.004)	Loss 1.7433 (1.7186)	Prec@1 55.000 (54.172)	Prec@5 84.000 (83.236)
Epoch: [67][2500/9018]	Time 0.650 (0.626)	Data 0.016 (0.004)	Loss 1.7622 (1.7185)	Prec@1 52.000 (54.173)	Prec@5 81.500 (83.237)
Epoch: [67][2510/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.7673 (1.7183)	Prec@1 52.000 (54.177)	Prec@5 81.500 (83.241)
Epoch: [67][2520/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.5911 (1.7183)	Prec@1 58.000 (54.177)	Prec@5 83.500 (83.238)
Epoch: [67][2530/9018]	Time 0.596 (0.626)	Data 0.013 (0.004)	Loss 1.6820 (1.7183)	Prec@1 53.500 (54.178)	Prec@5 82.500 (83.233)
Epoch: [67][2540/9018]	Time 0.597 (0.626)	Data 0.001 (0.004)	Loss 1.6966 (1.7184)	Prec@1 54.500 (54.173)	Prec@5 83.000 (83.232)
Epoch: [67][2550/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 1.7515 (1.7184)	Prec@1 56.500 (54.176)	Prec@5 81.500 (83.233)
Epoch: [67][2560/9018]	Time 0.631 (0.626)	Data 0.001 (0.004)	Loss 1.6054 (1.7183)	Prec@1 58.000 (54.179)	Prec@5 85.000 (83.233)
Epoch: [67][2570/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.5629 (1.7181)	Prec@1 58.000 (54.188)	Prec@5 85.500 (83.238)
Epoch: [67][2580/9018]	Time 0.813 (0.626)	Data 0.001 (0.004)	Loss 1.6273 (1.7179)	Prec@1 57.500 (54.192)	Prec@5 86.500 (83.244)
Epoch: [67][2590/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.6200 (1.7176)	Prec@1 56.500 (54.197)	Prec@5 85.500 (83.250)
Epoch: [67][2600/9018]	Time 0.605 (0.626)	Data 0.017 (0.004)	Loss 1.7210 (1.7175)	Prec@1 52.000 (54.199)	Prec@5 86.000 (83.255)
Epoch: [67][2610/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.6995 (1.7175)	Prec@1 56.500 (54.201)	Prec@5 85.000 (83.257)
Epoch: [67][2620/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.7958 (1.7175)	Prec@1 57.000 (54.199)	Prec@5 81.500 (83.258)
Epoch: [67][2630/9018]	Time 0.814 (0.626)	Data 0.001 (0.004)	Loss 1.6955 (1.7176)	Prec@1 56.500 (54.203)	Prec@5 85.000 (83.258)
Epoch: [67][2640/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.7184 (1.7176)	Prec@1 56.000 (54.203)	Prec@5 83.500 (83.260)
Epoch: [67][2650/9018]	Time 0.631 (0.626)	Data 0.001 (0.004)	Loss 1.5977 (1.7179)	Prec@1 54.000 (54.192)	Prec@5 85.500 (83.256)
Epoch: [67][2660/9018]	Time 0.596 (0.626)	Data 0.001 (0.004)	Loss 1.7234 (1.7177)	Prec@1 55.000 (54.196)	Prec@5 81.500 (83.258)
Epoch: [67][2670/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.6381 (1.7174)	Prec@1 51.500 (54.200)	Prec@5 85.000 (83.263)
Epoch: [67][2680/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.9901 (1.7178)	Prec@1 51.500 (54.196)	Prec@5 78.000 (83.256)
Epoch: [67][2690/9018]	Time 0.606 (0.626)	Data 0.001 (0.004)	Loss 1.6571 (1.7179)	Prec@1 51.500 (54.189)	Prec@5 87.000 (83.252)
Epoch: [67][2700/9018]	Time 0.615 (0.626)	Data 0.013 (0.004)	Loss 1.6601 (1.7179)	Prec@1 58.000 (54.191)	Prec@5 82.500 (83.253)
Epoch: [67][2710/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.6524 (1.7181)	Prec@1 55.000 (54.190)	Prec@5 85.500 (83.251)
Epoch: [67][2720/9018]	Time 0.629 (0.626)	Data 0.001 (0.004)	Loss 1.5696 (1.7180)	Prec@1 57.500 (54.193)	Prec@5 88.000 (83.250)
Epoch: [67][2730/9018]	Time 0.662 (0.626)	Data 0.001 (0.004)	Loss 1.7870 (1.7180)	Prec@1 56.000 (54.195)	Prec@5 80.000 (83.251)
Epoch: [67][2740/9018]	Time 0.607 (0.626)	Data 0.015 (0.004)	Loss 1.8241 (1.7180)	Prec@1 52.000 (54.190)	Prec@5 83.000 (83.253)
Epoch: [67][2750/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 1.6160 (1.7180)	Prec@1 60.000 (54.193)	Prec@5 83.500 (83.252)
Epoch: [67][2760/9018]	Time 0.617 (0.626)	Data 0.029 (0.004)	Loss 1.7991 (1.7179)	Prec@1 52.000 (54.198)	Prec@5 82.500 (83.252)
Epoch: [67][2770/9018]	Time 0.607 (0.626)	Data 0.013 (0.004)	Loss 1.7778 (1.7181)	Prec@1 55.000 (54.189)	Prec@5 85.000 (83.250)
Epoch: [67][2780/9018]	Time 0.622 (0.626)	Data 0.017 (0.004)	Loss 1.7490 (1.7180)	Prec@1 53.500 (54.192)	Prec@5 81.000 (83.248)
Epoch: [67][2790/9018]	Time 0.609 (0.626)	Data 0.017 (0.004)	Loss 1.7332 (1.7181)	Prec@1 55.000 (54.191)	Prec@5 85.000 (83.246)
Epoch: [67][2800/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.7079 (1.7179)	Prec@1 54.500 (54.192)	Prec@5 83.000 (83.252)
Epoch: [67][2810/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.7630 (1.7180)	Prec@1 55.500 (54.197)	Prec@5 79.500 (83.248)
Epoch: [67][2820/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.8469 (1.7182)	Prec@1 50.500 (54.191)	Prec@5 82.000 (83.247)
Epoch: [67][2830/9018]	Time 0.644 (0.626)	Data 0.001 (0.004)	Loss 1.6965 (1.7183)	Prec@1 52.500 (54.190)	Prec@5 84.000 (83.246)
Epoch: [67][2840/9018]	Time 0.626 (0.626)	Data 0.001 (0.004)	Loss 1.5648 (1.7183)	Prec@1 58.000 (54.187)	Prec@5 86.000 (83.245)
Epoch: [67][2850/9018]	Time 0.641 (0.626)	Data 0.001 (0.004)	Loss 1.7544 (1.7182)	Prec@1 49.500 (54.188)	Prec@5 81.500 (83.246)
Epoch: [67][2860/9018]	Time 0.588 (0.626)	Data 0.001 (0.004)	Loss 1.5997 (1.7180)	Prec@1 60.500 (54.189)	Prec@5 88.000 (83.251)
Epoch: [67][2870/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.6637 (1.7181)	Prec@1 52.500 (54.182)	Prec@5 82.500 (83.250)
Epoch: [67][2880/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 1.9790 (1.7185)	Prec@1 48.000 (54.171)	Prec@5 79.500 (83.245)
Epoch: [67][2890/9018]	Time 0.606 (0.626)	Data 0.001 (0.004)	Loss 1.6503 (1.7183)	Prec@1 55.500 (54.174)	Prec@5 83.500 (83.246)
Epoch: [67][2900/9018]	Time 0.624 (0.626)	Data 0.001 (0.004)	Loss 1.4553 (1.7184)	Prec@1 62.000 (54.172)	Prec@5 87.500 (83.248)
Epoch: [67][2910/9018]	Time 0.775 (0.626)	Data 0.001 (0.004)	Loss 1.6530 (1.7182)	Prec@1 59.000 (54.179)	Prec@5 85.000 (83.250)
Epoch: [67][2920/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 1.6703 (1.7181)	Prec@1 56.000 (54.180)	Prec@5 83.000 (83.247)
Epoch: [67][2930/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 1.6570 (1.7181)	Prec@1 57.500 (54.181)	Prec@5 85.500 (83.249)
Epoch: [67][2940/9018]	Time 0.620 (0.626)	Data 0.003 (0.004)	Loss 1.9666 (1.7183)	Prec@1 51.500 (54.174)	Prec@5 78.500 (83.245)
Epoch: [67][2950/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.6190 (1.7182)	Prec@1 52.000 (54.173)	Prec@5 88.000 (83.251)
Epoch: [67][2960/9018]	Time 0.706 (0.626)	Data 0.001 (0.004)	Loss 1.7232 (1.7182)	Prec@1 57.000 (54.175)	Prec@5 78.000 (83.248)
Epoch: [67][2970/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.7226 (1.7182)	Prec@1 53.000 (54.174)	Prec@5 85.000 (83.248)
Epoch: [67][2980/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.9574 (1.7183)	Prec@1 51.500 (54.175)	Prec@5 79.500 (83.249)
Epoch: [67][2990/9018]	Time 0.618 (0.626)	Data 0.013 (0.004)	Loss 1.7492 (1.7185)	Prec@1 53.000 (54.170)	Prec@5 83.000 (83.244)
Epoch: [67][3000/9018]	Time 0.608 (0.626)	Data 0.017 (0.004)	Loss 1.8969 (1.7185)	Prec@1 52.000 (54.169)	Prec@5 80.000 (83.244)
Epoch: [67][3010/9018]	Time 0.631 (0.626)	Data 0.017 (0.004)	Loss 1.7040 (1.7184)	Prec@1 54.500 (54.176)	Prec@5 83.000 (83.244)
Epoch: [67][3020/9018]	Time 0.627 (0.626)	Data 0.005 (0.004)	Loss 1.9269 (1.7185)	Prec@1 50.500 (54.174)	Prec@5 81.000 (83.243)
Epoch: [67][3030/9018]	Time 0.635 (0.626)	Data 0.001 (0.004)	Loss 1.5668 (1.7184)	Prec@1 54.000 (54.176)	Prec@5 86.500 (83.242)
Epoch: [67][3040/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 1.6758 (1.7183)	Prec@1 56.500 (54.175)	Prec@5 85.500 (83.245)
Epoch: [67][3050/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.7138 (1.7183)	Prec@1 56.500 (54.174)	Prec@5 83.500 (83.246)
Epoch: [67][3060/9018]	Time 0.634 (0.626)	Data 0.001 (0.004)	Loss 1.7232 (1.7183)	Prec@1 53.500 (54.175)	Prec@5 86.500 (83.249)
Epoch: [67][3070/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 1.9395 (1.7183)	Prec@1 51.500 (54.176)	Prec@5 80.500 (83.250)
Epoch: [67][3080/9018]	Time 0.615 (0.626)	Data 0.017 (0.004)	Loss 1.4610 (1.7183)	Prec@1 59.500 (54.179)	Prec@5 86.500 (83.249)
Epoch: [67][3090/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.6984 (1.7183)	Prec@1 52.000 (54.182)	Prec@5 83.500 (83.250)
Epoch: [67][3100/9018]	Time 0.634 (0.626)	Data 0.001 (0.004)	Loss 1.7640 (1.7181)	Prec@1 52.500 (54.184)	Prec@5 83.000 (83.255)
Epoch: [67][3110/9018]	Time 0.628 (0.626)	Data 0.001 (0.004)	Loss 1.7503 (1.7181)	Prec@1 56.000 (54.184)	Prec@5 81.000 (83.255)
Epoch: [67][3120/9018]	Time 0.597 (0.626)	Data 0.001 (0.004)	Loss 1.6181 (1.7180)	Prec@1 57.000 (54.189)	Prec@5 83.500 (83.253)
Epoch: [67][3130/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 1.7936 (1.7179)	Prec@1 52.500 (54.197)	Prec@5 81.500 (83.257)
Epoch: [67][3140/9018]	Time 0.623 (0.626)	Data 0.002 (0.004)	Loss 1.7525 (1.7180)	Prec@1 51.500 (54.193)	Prec@5 82.000 (83.254)
Epoch: [67][3150/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.8050 (1.7181)	Prec@1 51.500 (54.191)	Prec@5 78.000 (83.251)
Epoch: [67][3160/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.8891 (1.7181)	Prec@1 52.500 (54.189)	Prec@5 81.500 (83.251)
Epoch: [67][3170/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.7535 (1.7182)	Prec@1 52.000 (54.191)	Prec@5 81.000 (83.249)
Epoch: [67][3180/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 1.5903 (1.7181)	Prec@1 56.500 (54.193)	Prec@5 83.000 (83.248)
Epoch: [67][3190/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.9559 (1.7182)	Prec@1 49.500 (54.188)	Prec@5 79.500 (83.244)
Epoch: [67][3200/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.6226 (1.7181)	Prec@1 62.500 (54.193)	Prec@5 85.500 (83.246)
Epoch: [67][3210/9018]	Time 0.597 (0.626)	Data 0.013 (0.004)	Loss 1.4983 (1.7179)	Prec@1 56.500 (54.196)	Prec@5 88.500 (83.253)
Epoch: [67][3220/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.7044 (1.7178)	Prec@1 53.000 (54.195)	Prec@5 83.000 (83.255)
Epoch: [67][3230/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.8908 (1.7176)	Prec@1 50.500 (54.199)	Prec@5 83.000 (83.262)
Epoch: [67][3240/9018]	Time 0.797 (0.626)	Data 0.001 (0.004)	Loss 1.8349 (1.7178)	Prec@1 50.000 (54.197)	Prec@5 79.500 (83.259)
Epoch: [67][3250/9018]	Time 0.624 (0.626)	Data 0.017 (0.004)	Loss 1.6831 (1.7178)	Prec@1 54.500 (54.196)	Prec@5 83.500 (83.255)
Epoch: [67][3260/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 1.7971 (1.7180)	Prec@1 50.000 (54.193)	Prec@5 83.000 (83.255)
Epoch: [67][3270/9018]	Time 0.651 (0.626)	Data 0.001 (0.004)	Loss 1.7456 (1.7180)	Prec@1 52.000 (54.194)	Prec@5 81.500 (83.257)
Epoch: [67][3280/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.6507 (1.7181)	Prec@1 51.000 (54.190)	Prec@5 85.500 (83.256)
Epoch: [67][3290/9018]	Time 0.728 (0.626)	Data 0.001 (0.004)	Loss 1.4257 (1.7180)	Prec@1 59.000 (54.189)	Prec@5 89.500 (83.259)
Epoch: [67][3300/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.8338 (1.7179)	Prec@1 51.500 (54.191)	Prec@5 83.500 (83.261)
Epoch: [67][3310/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 1.9084 (1.7179)	Prec@1 52.000 (54.195)	Prec@5 81.000 (83.262)
Epoch: [67][3320/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.6304 (1.7176)	Prec@1 57.500 (54.200)	Prec@5 84.000 (83.267)
Epoch: [67][3330/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.7388 (1.7176)	Prec@1 52.500 (54.194)	Prec@5 82.000 (83.268)
Epoch: [67][3340/9018]	Time 0.616 (0.626)	Data 0.011 (0.004)	Loss 1.7584 (1.7176)	Prec@1 56.000 (54.196)	Prec@5 83.000 (83.267)
Epoch: [67][3350/9018]	Time 0.647 (0.625)	Data 0.001 (0.004)	Loss 1.6321 (1.7176)	Prec@1 58.500 (54.198)	Prec@5 84.000 (83.269)
Epoch: [67][3360/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.6198 (1.7176)	Prec@1 57.500 (54.197)	Prec@5 89.000 (83.270)
Epoch: [67][3370/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.7215 (1.7175)	Prec@1 53.500 (54.199)	Prec@5 86.500 (83.272)
Epoch: [67][3380/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.6156 (1.7174)	Prec@1 58.000 (54.203)	Prec@5 86.500 (83.277)
Epoch: [67][3390/9018]	Time 0.638 (0.625)	Data 0.001 (0.004)	Loss 1.7826 (1.7173)	Prec@1 52.000 (54.207)	Prec@5 86.000 (83.280)
Epoch: [67][3400/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8643 (1.7172)	Prec@1 49.000 (54.207)	Prec@5 82.000 (83.282)
Epoch: [67][3410/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.5607 (1.7172)	Prec@1 63.000 (54.210)	Prec@5 84.000 (83.280)
Epoch: [67][3420/9018]	Time 0.643 (0.625)	Data 0.001 (0.004)	Loss 1.6417 (1.7171)	Prec@1 55.000 (54.211)	Prec@5 83.000 (83.281)
Epoch: [67][3430/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.8722 (1.7173)	Prec@1 52.500 (54.207)	Prec@5 78.500 (83.277)
Epoch: [67][3440/9018]	Time 0.613 (0.625)	Data 0.004 (0.004)	Loss 1.7218 (1.7174)	Prec@1 55.500 (54.206)	Prec@5 83.000 (83.274)
Epoch: [67][3450/9018]	Time 0.648 (0.625)	Data 0.001 (0.004)	Loss 1.7314 (1.7175)	Prec@1 56.000 (54.201)	Prec@5 80.000 (83.271)
Epoch: [67][3460/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.6791 (1.7175)	Prec@1 56.000 (54.201)	Prec@5 86.000 (83.271)
Epoch: [67][3470/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.8408 (1.7176)	Prec@1 47.500 (54.197)	Prec@5 79.000 (83.270)
Epoch: [67][3480/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.6610 (1.7175)	Prec@1 55.500 (54.196)	Prec@5 86.500 (83.272)
Epoch: [67][3490/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.7813 (1.7177)	Prec@1 50.000 (54.190)	Prec@5 87.000 (83.272)
Epoch: [67][3500/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.6704 (1.7177)	Prec@1 58.500 (54.191)	Prec@5 83.000 (83.271)
Epoch: [67][3510/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.6730 (1.7177)	Prec@1 58.000 (54.189)	Prec@5 84.000 (83.269)
Epoch: [67][3520/9018]	Time 0.640 (0.625)	Data 0.001 (0.004)	Loss 1.7569 (1.7177)	Prec@1 56.000 (54.189)	Prec@5 84.000 (83.269)
Epoch: [67][3530/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.6681 (1.7177)	Prec@1 54.500 (54.186)	Prec@5 83.000 (83.270)
Epoch: [67][3540/9018]	Time 0.609 (0.625)	Data 0.002 (0.004)	Loss 1.5183 (1.7178)	Prec@1 58.000 (54.183)	Prec@5 87.500 (83.270)
Epoch: [67][3550/9018]	Time 0.609 (0.625)	Data 0.002 (0.004)	Loss 1.7257 (1.7178)	Prec@1 56.500 (54.180)	Prec@5 83.000 (83.268)
Epoch: [67][3560/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.5936 (1.7178)	Prec@1 56.500 (54.180)	Prec@5 87.000 (83.267)
Epoch: [67][3570/9018]	Time 0.764 (0.625)	Data 0.001 (0.004)	Loss 1.7318 (1.7179)	Prec@1 56.000 (54.178)	Prec@5 80.000 (83.264)
Epoch: [67][3580/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.9198 (1.7178)	Prec@1 48.000 (54.180)	Prec@5 79.500 (83.265)
Epoch: [67][3590/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.3992 (1.7180)	Prec@1 61.500 (54.175)	Prec@5 87.500 (83.263)
Epoch: [67][3600/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.8949 (1.7179)	Prec@1 51.000 (54.176)	Prec@5 81.500 (83.264)
Epoch: [67][3610/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.6818 (1.7179)	Prec@1 56.000 (54.171)	Prec@5 82.500 (83.267)
Epoch: [67][3620/9018]	Time 0.782 (0.625)	Data 0.001 (0.004)	Loss 1.7032 (1.7179)	Prec@1 53.500 (54.169)	Prec@5 85.000 (83.269)
Epoch: [67][3630/9018]	Time 0.638 (0.625)	Data 0.013 (0.004)	Loss 1.8496 (1.7180)	Prec@1 48.500 (54.167)	Prec@5 82.000 (83.266)
Epoch: [67][3640/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7271 (1.7180)	Prec@1 54.500 (54.166)	Prec@5 81.500 (83.265)
Epoch: [67][3650/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.7126 (1.7178)	Prec@1 49.000 (54.165)	Prec@5 83.000 (83.271)
Epoch: [67][3660/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.5353 (1.7176)	Prec@1 61.500 (54.171)	Prec@5 83.500 (83.273)
Epoch: [67][3670/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.6252 (1.7177)	Prec@1 59.000 (54.167)	Prec@5 83.000 (83.271)
Epoch: [67][3680/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.7878 (1.7178)	Prec@1 52.500 (54.166)	Prec@5 82.000 (83.270)
Epoch: [67][3690/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.6292 (1.7178)	Prec@1 58.000 (54.167)	Prec@5 84.500 (83.268)
Epoch: [67][3700/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.8979 (1.7179)	Prec@1 51.000 (54.163)	Prec@5 78.500 (83.267)
Epoch: [67][3710/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.7201 (1.7179)	Prec@1 55.000 (54.164)	Prec@5 84.000 (83.269)
Epoch: [67][3720/9018]	Time 0.651 (0.625)	Data 0.001 (0.004)	Loss 1.6625 (1.7180)	Prec@1 56.000 (54.162)	Prec@5 84.500 (83.269)
Epoch: [67][3730/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.6454 (1.7180)	Prec@1 55.000 (54.161)	Prec@5 84.500 (83.271)
Epoch: [67][3740/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.9405 (1.7179)	Prec@1 49.500 (54.160)	Prec@5 81.500 (83.273)
Epoch: [67][3750/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6479 (1.7179)	Prec@1 55.000 (54.159)	Prec@5 86.000 (83.276)
Epoch: [67][3760/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.6642 (1.7178)	Prec@1 54.000 (54.158)	Prec@5 82.500 (83.277)
Epoch: [67][3770/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.5370 (1.7179)	Prec@1 61.000 (54.161)	Prec@5 83.500 (83.275)
Epoch: [67][3780/9018]	Time 0.633 (0.625)	Data 0.002 (0.004)	Loss 1.7027 (1.7179)	Prec@1 52.500 (54.165)	Prec@5 85.500 (83.275)
Epoch: [67][3790/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.8355 (1.7180)	Prec@1 48.000 (54.162)	Prec@5 81.000 (83.274)
Epoch: [67][3800/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.7815 (1.7179)	Prec@1 50.500 (54.167)	Prec@5 81.000 (83.277)
Epoch: [67][3810/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.7254 (1.7180)	Prec@1 55.000 (54.164)	Prec@5 85.500 (83.277)
Epoch: [67][3820/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.8147 (1.7181)	Prec@1 49.000 (54.163)	Prec@5 80.000 (83.275)
Epoch: [67][3830/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.7159 (1.7184)	Prec@1 51.500 (54.154)	Prec@5 84.000 (83.270)
Epoch: [67][3840/9018]	Time 0.614 (0.625)	Data 0.014 (0.004)	Loss 1.7426 (1.7186)	Prec@1 57.500 (54.149)	Prec@5 80.000 (83.266)
Epoch: [67][3850/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.6161 (1.7184)	Prec@1 54.500 (54.153)	Prec@5 88.000 (83.270)
Epoch: [67][3860/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.4903 (1.7184)	Prec@1 59.000 (54.156)	Prec@5 87.500 (83.271)
Epoch: [67][3870/9018]	Time 0.637 (0.625)	Data 0.001 (0.004)	Loss 1.6246 (1.7184)	Prec@1 57.000 (54.156)	Prec@5 83.000 (83.269)
Epoch: [67][3880/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.8369 (1.7184)	Prec@1 51.500 (54.155)	Prec@5 82.000 (83.269)
Epoch: [67][3890/9018]	Time 0.623 (0.625)	Data 0.017 (0.004)	Loss 1.7027 (1.7183)	Prec@1 56.000 (54.157)	Prec@5 82.500 (83.269)
Epoch: [67][3900/9018]	Time 0.778 (0.625)	Data 0.001 (0.004)	Loss 1.5470 (1.7183)	Prec@1 60.000 (54.157)	Prec@5 85.500 (83.268)
Epoch: [67][3910/9018]	Time 0.607 (0.625)	Data 0.007 (0.004)	Loss 1.7706 (1.7184)	Prec@1 53.500 (54.155)	Prec@5 82.500 (83.269)
Epoch: [67][3920/9018]	Time 0.604 (0.625)	Data 0.006 (0.004)	Loss 1.7434 (1.7182)	Prec@1 52.500 (54.160)	Prec@5 81.500 (83.270)
Epoch: [67][3930/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.6874 (1.7184)	Prec@1 56.000 (54.157)	Prec@5 81.000 (83.266)
Epoch: [67][3940/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.8697 (1.7185)	Prec@1 51.000 (54.156)	Prec@5 76.500 (83.263)
Epoch: [67][3950/9018]	Time 0.736 (0.625)	Data 0.001 (0.004)	Loss 1.6825 (1.7184)	Prec@1 55.000 (54.155)	Prec@5 83.500 (83.263)
Epoch: [67][3960/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.7529 (1.7185)	Prec@1 51.000 (54.153)	Prec@5 87.000 (83.263)
Epoch: [67][3970/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.9120 (1.7187)	Prec@1 49.000 (54.149)	Prec@5 79.500 (83.257)
Epoch: [67][3980/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.7431 (1.7188)	Prec@1 50.500 (54.146)	Prec@5 83.000 (83.253)
Epoch: [67][3990/9018]	Time 0.620 (0.625)	Data 0.007 (0.004)	Loss 1.8406 (1.7188)	Prec@1 49.500 (54.147)	Prec@5 81.500 (83.254)
Epoch: [67][4000/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8382 (1.7187)	Prec@1 53.500 (54.147)	Prec@5 79.500 (83.256)
Epoch: [67][4010/9018]	Time 0.593 (0.625)	Data 0.016 (0.004)	Loss 1.7614 (1.7187)	Prec@1 57.500 (54.147)	Prec@5 81.000 (83.253)
Epoch: [67][4020/9018]	Time 0.614 (0.625)	Data 0.015 (0.004)	Loss 1.6721 (1.7188)	Prec@1 56.000 (54.146)	Prec@5 87.000 (83.254)
Epoch: [67][4030/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.5745 (1.7188)	Prec@1 56.500 (54.147)	Prec@5 85.000 (83.253)
Epoch: [67][4040/9018]	Time 0.610 (0.625)	Data 0.012 (0.004)	Loss 1.8614 (1.7187)	Prec@1 48.000 (54.147)	Prec@5 81.000 (83.255)
Epoch: [67][4050/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.6397 (1.7185)	Prec@1 56.000 (54.151)	Prec@5 82.500 (83.258)
Epoch: [67][4060/9018]	Time 0.623 (0.625)	Data 0.015 (0.004)	Loss 1.8418 (1.7186)	Prec@1 50.000 (54.149)	Prec@5 81.500 (83.258)
Epoch: [67][4070/9018]	Time 0.637 (0.625)	Data 0.001 (0.004)	Loss 1.8189 (1.7185)	Prec@1 53.000 (54.154)	Prec@5 81.000 (83.258)
Epoch: [67][4080/9018]	Time 0.625 (0.625)	Data 0.007 (0.004)	Loss 1.8522 (1.7185)	Prec@1 50.000 (54.152)	Prec@5 81.000 (83.258)
Epoch: [67][4090/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.9657 (1.7185)	Prec@1 47.000 (54.151)	Prec@5 83.000 (83.257)
Epoch: [67][4100/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7482 (1.7183)	Prec@1 52.500 (54.153)	Prec@5 80.500 (83.261)
Epoch: [67][4110/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.7308 (1.7183)	Prec@1 53.500 (54.152)	Prec@5 81.000 (83.260)
Epoch: [67][4120/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.7518 (1.7184)	Prec@1 55.000 (54.149)	Prec@5 83.000 (83.260)
Epoch: [67][4130/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.9555 (1.7185)	Prec@1 49.000 (54.145)	Prec@5 81.500 (83.259)
Epoch: [67][4140/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.5981 (1.7184)	Prec@1 57.500 (54.147)	Prec@5 84.500 (83.261)
Epoch: [67][4150/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.6248 (1.7183)	Prec@1 56.000 (54.147)	Prec@5 83.500 (83.264)
Epoch: [67][4160/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.8957 (1.7183)	Prec@1 48.500 (54.146)	Prec@5 81.500 (83.263)
Epoch: [67][4170/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.7491 (1.7183)	Prec@1 54.000 (54.146)	Prec@5 80.500 (83.263)
Epoch: [67][4180/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.5958 (1.7182)	Prec@1 60.000 (54.148)	Prec@5 84.000 (83.263)
Epoch: [67][4190/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.6675 (1.7182)	Prec@1 55.000 (54.151)	Prec@5 82.500 (83.264)
Epoch: [67][4200/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.5910 (1.7182)	Prec@1 55.000 (54.149)	Prec@5 84.000 (83.265)
Epoch: [67][4210/9018]	Time 0.651 (0.625)	Data 0.001 (0.004)	Loss 1.7969 (1.7182)	Prec@1 56.500 (54.147)	Prec@5 82.500 (83.266)
Epoch: [67][4220/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.6941 (1.7182)	Prec@1 50.000 (54.150)	Prec@5 84.500 (83.268)
Epoch: [67][4230/9018]	Time 0.781 (0.625)	Data 0.001 (0.004)	Loss 2.0656 (1.7183)	Prec@1 49.500 (54.149)	Prec@5 78.500 (83.266)
Epoch: [67][4240/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.6121 (1.7184)	Prec@1 58.000 (54.143)	Prec@5 84.500 (83.265)
Epoch: [67][4250/9018]	Time 0.630 (0.625)	Data 0.017 (0.004)	Loss 1.7986 (1.7184)	Prec@1 54.000 (54.141)	Prec@5 83.000 (83.266)
Epoch: [67][4260/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.8387 (1.7184)	Prec@1 50.000 (54.141)	Prec@5 80.500 (83.265)
Epoch: [67][4270/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.7461 (1.7184)	Prec@1 53.000 (54.144)	Prec@5 82.500 (83.268)
Epoch: [67][4280/9018]	Time 0.776 (0.625)	Data 0.001 (0.003)	Loss 1.6652 (1.7184)	Prec@1 56.000 (54.143)	Prec@5 84.000 (83.266)
Epoch: [67][4290/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.3845 (1.7182)	Prec@1 64.000 (54.145)	Prec@5 88.500 (83.271)
Epoch: [67][4300/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.5602 (1.7183)	Prec@1 59.500 (54.146)	Prec@5 85.000 (83.268)
Epoch: [67][4310/9018]	Time 0.621 (0.625)	Data 0.015 (0.004)	Loss 1.6348 (1.7183)	Prec@1 53.500 (54.146)	Prec@5 84.500 (83.268)
Epoch: [67][4320/9018]	Time 0.589 (0.625)	Data 0.001 (0.003)	Loss 1.8963 (1.7184)	Prec@1 52.500 (54.142)	Prec@5 78.500 (83.266)
Epoch: [67][4330/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.5987 (1.7184)	Prec@1 58.000 (54.142)	Prec@5 85.000 (83.267)
Epoch: [67][4340/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.9727 (1.7186)	Prec@1 47.500 (54.141)	Prec@5 82.000 (83.264)
Epoch: [67][4350/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7439 (1.7187)	Prec@1 53.500 (54.137)	Prec@5 84.000 (83.262)
Epoch: [67][4360/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.7405 (1.7187)	Prec@1 51.000 (54.136)	Prec@5 82.500 (83.263)
Epoch: [67][4370/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.7200 (1.7186)	Prec@1 55.000 (54.138)	Prec@5 80.000 (83.264)
Epoch: [67][4380/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.5561 (1.7187)	Prec@1 56.000 (54.135)	Prec@5 84.000 (83.264)
Epoch: [67][4390/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.8396 (1.7187)	Prec@1 57.000 (54.136)	Prec@5 81.500 (83.266)
Epoch: [67][4400/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.6728 (1.7186)	Prec@1 55.500 (54.140)	Prec@5 85.500 (83.267)
Epoch: [67][4410/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.6316 (1.7186)	Prec@1 54.000 (54.141)	Prec@5 85.500 (83.267)
Epoch: [67][4420/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8161 (1.7186)	Prec@1 48.500 (54.140)	Prec@5 79.500 (83.266)
Epoch: [67][4430/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8219 (1.7186)	Prec@1 53.000 (54.141)	Prec@5 81.000 (83.266)
Epoch: [67][4440/9018]	Time 0.604 (0.625)	Data 0.014 (0.003)	Loss 1.7971 (1.7187)	Prec@1 47.000 (54.140)	Prec@5 82.500 (83.265)
Epoch: [67][4450/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.7030 (1.7188)	Prec@1 51.500 (54.140)	Prec@5 82.500 (83.260)
Epoch: [67][4460/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.7430 (1.7188)	Prec@1 52.000 (54.138)	Prec@5 82.500 (83.260)
Epoch: [67][4470/9018]	Time 0.610 (0.625)	Data 0.005 (0.003)	Loss 1.6205 (1.7187)	Prec@1 57.000 (54.142)	Prec@5 82.500 (83.260)
Epoch: [67][4480/9018]	Time 0.623 (0.625)	Data 0.016 (0.003)	Loss 1.8196 (1.7186)	Prec@1 53.500 (54.145)	Prec@5 82.500 (83.261)
Epoch: [67][4490/9018]	Time 0.620 (0.625)	Data 0.002 (0.003)	Loss 1.7229 (1.7188)	Prec@1 50.500 (54.140)	Prec@5 85.500 (83.259)
Epoch: [67][4500/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.6341 (1.7187)	Prec@1 53.500 (54.138)	Prec@5 87.500 (83.261)
Epoch: [67][4510/9018]	Time 0.605 (0.625)	Data 0.003 (0.003)	Loss 1.8591 (1.7188)	Prec@1 47.500 (54.136)	Prec@5 82.000 (83.261)
Epoch: [67][4520/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 2.0087 (1.7187)	Prec@1 43.500 (54.134)	Prec@5 76.500 (83.262)
Epoch: [67][4530/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.6162 (1.7186)	Prec@1 53.500 (54.137)	Prec@5 84.500 (83.264)
Epoch: [67][4540/9018]	Time 0.618 (0.625)	Data 0.005 (0.003)	Loss 1.8088 (1.7187)	Prec@1 56.000 (54.134)	Prec@5 79.500 (83.265)
Epoch: [67][4550/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.4830 (1.7187)	Prec@1 55.500 (54.133)	Prec@5 88.000 (83.266)
Epoch: [67][4560/9018]	Time 0.838 (0.625)	Data 0.001 (0.003)	Loss 1.7445 (1.7187)	Prec@1 54.500 (54.134)	Prec@5 82.500 (83.265)
Epoch: [67][4570/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 1.8965 (1.7187)	Prec@1 50.000 (54.135)	Prec@5 82.000 (83.267)
Epoch: [67][4580/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.6240 (1.7188)	Prec@1 56.500 (54.132)	Prec@5 85.000 (83.263)
Epoch: [67][4590/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.6603 (1.7188)	Prec@1 53.500 (54.132)	Prec@5 84.000 (83.260)
Epoch: [67][4600/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.7025 (1.7191)	Prec@1 50.500 (54.125)	Prec@5 85.500 (83.256)
Epoch: [67][4610/9018]	Time 0.750 (0.625)	Data 0.017 (0.003)	Loss 1.9279 (1.7192)	Prec@1 49.000 (54.124)	Prec@5 80.000 (83.254)
Epoch: [67][4620/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.7231 (1.7191)	Prec@1 57.500 (54.126)	Prec@5 81.500 (83.257)
Epoch: [67][4630/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.8810 (1.7192)	Prec@1 52.500 (54.126)	Prec@5 78.000 (83.256)
Epoch: [67][4640/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.6546 (1.7191)	Prec@1 50.000 (54.126)	Prec@5 84.000 (83.260)
Epoch: [67][4650/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.8087 (1.7190)	Prec@1 55.000 (54.129)	Prec@5 81.500 (83.261)
Epoch: [67][4660/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.6868 (1.7190)	Prec@1 54.000 (54.130)	Prec@5 83.000 (83.261)
Epoch: [67][4670/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.6846 (1.7191)	Prec@1 55.500 (54.128)	Prec@5 84.500 (83.260)
Epoch: [67][4680/9018]	Time 0.621 (0.625)	Data 0.012 (0.003)	Loss 1.5628 (1.7191)	Prec@1 57.500 (54.127)	Prec@5 89.000 (83.260)
Epoch: [67][4690/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.6410 (1.7191)	Prec@1 55.500 (54.127)	Prec@5 85.000 (83.259)
Epoch: [67][4700/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.6283 (1.7189)	Prec@1 60.000 (54.132)	Prec@5 87.000 (83.262)
Epoch: [67][4710/9018]	Time 0.612 (0.625)	Data 0.013 (0.003)	Loss 1.8105 (1.7190)	Prec@1 46.500 (54.127)	Prec@5 83.500 (83.260)
Epoch: [67][4720/9018]	Time 0.624 (0.625)	Data 0.002 (0.003)	Loss 1.6353 (1.7189)	Prec@1 55.000 (54.133)	Prec@5 85.500 (83.262)
Epoch: [67][4730/9018]	Time 0.604 (0.625)	Data 0.007 (0.003)	Loss 1.6682 (1.7188)	Prec@1 53.000 (54.134)	Prec@5 83.500 (83.263)
Epoch: [67][4740/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.5136 (1.7187)	Prec@1 59.500 (54.134)	Prec@5 84.000 (83.264)
Epoch: [67][4750/9018]	Time 0.607 (0.625)	Data 0.005 (0.003)	Loss 1.7275 (1.7186)	Prec@1 56.000 (54.138)	Prec@5 84.000 (83.265)
Epoch: [67][4760/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.5328 (1.7185)	Prec@1 66.000 (54.142)	Prec@5 85.000 (83.267)
Epoch: [67][4770/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.7675 (1.7185)	Prec@1 52.000 (54.140)	Prec@5 85.000 (83.268)
Epoch: [67][4780/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.7927 (1.7186)	Prec@1 54.000 (54.139)	Prec@5 80.000 (83.266)
Epoch: [67][4790/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.7905 (1.7186)	Prec@1 50.000 (54.140)	Prec@5 84.000 (83.266)
Epoch: [67][4800/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.7857 (1.7186)	Prec@1 56.000 (54.143)	Prec@5 80.000 (83.265)
Epoch: [67][4810/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.9625 (1.7186)	Prec@1 49.500 (54.144)	Prec@5 81.500 (83.265)
Epoch: [67][4820/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 2.1343 (1.7187)	Prec@1 49.500 (54.143)	Prec@5 78.000 (83.263)
Epoch: [67][4830/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8542 (1.7187)	Prec@1 46.000 (54.141)	Prec@5 81.000 (83.264)
Epoch: [67][4840/9018]	Time 0.626 (0.625)	Data 0.011 (0.003)	Loss 1.7535 (1.7187)	Prec@1 55.000 (54.141)	Prec@5 83.000 (83.264)
Epoch: [67][4850/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.7581 (1.7188)	Prec@1 52.000 (54.139)	Prec@5 83.000 (83.263)
Epoch: [67][4860/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 2.0384 (1.7188)	Prec@1 45.000 (54.139)	Prec@5 74.000 (83.262)
Epoch: [67][4870/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.7877 (1.7187)	Prec@1 55.000 (54.139)	Prec@5 80.500 (83.263)
Epoch: [67][4880/9018]	Time 0.606 (0.625)	Data 0.005 (0.003)	Loss 1.4361 (1.7187)	Prec@1 56.000 (54.139)	Prec@5 89.000 (83.265)
Epoch: [67][4890/9018]	Time 0.784 (0.625)	Data 0.001 (0.003)	Loss 1.5888 (1.7187)	Prec@1 58.000 (54.141)	Prec@5 84.000 (83.262)
Epoch: [67][4900/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9052 (1.7186)	Prec@1 53.000 (54.143)	Prec@5 80.500 (83.264)
Epoch: [67][4910/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.6323 (1.7186)	Prec@1 57.000 (54.145)	Prec@5 85.000 (83.266)
Epoch: [67][4920/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.4368 (1.7186)	Prec@1 59.500 (54.146)	Prec@5 88.500 (83.265)
Epoch: [67][4930/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.7422 (1.7187)	Prec@1 52.000 (54.141)	Prec@5 82.000 (83.264)
Epoch: [67][4940/9018]	Time 0.729 (0.625)	Data 0.001 (0.003)	Loss 1.6533 (1.7186)	Prec@1 54.500 (54.139)	Prec@5 84.500 (83.265)
Epoch: [67][4950/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.8347 (1.7188)	Prec@1 50.000 (54.133)	Prec@5 84.500 (83.261)
Epoch: [67][4960/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.7057 (1.7187)	Prec@1 55.000 (54.135)	Prec@5 81.500 (83.261)
Epoch: [67][4970/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.8468 (1.7187)	Prec@1 53.500 (54.135)	Prec@5 83.500 (83.261)
Epoch: [67][4980/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.6691 (1.7187)	Prec@1 52.000 (54.134)	Prec@5 85.500 (83.262)
Epoch: [67][4990/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.5078 (1.7188)	Prec@1 57.000 (54.134)	Prec@5 88.000 (83.259)
Epoch: [67][5000/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.6912 (1.7187)	Prec@1 52.500 (54.136)	Prec@5 84.000 (83.262)
Epoch: [67][5010/9018]	Time 0.618 (0.625)	Data 0.012 (0.003)	Loss 1.9232 (1.7188)	Prec@1 47.500 (54.134)	Prec@5 80.000 (83.258)
Epoch: [67][5020/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.8028 (1.7188)	Prec@1 54.000 (54.134)	Prec@5 83.000 (83.259)
Epoch: [67][5030/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.5827 (1.7189)	Prec@1 55.000 (54.133)	Prec@5 86.500 (83.256)
Epoch: [67][5040/9018]	Time 0.626 (0.625)	Data 0.015 (0.003)	Loss 1.7054 (1.7190)	Prec@1 56.000 (54.131)	Prec@5 85.500 (83.254)
Epoch: [67][5050/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.7047 (1.7190)	Prec@1 57.000 (54.131)	Prec@5 84.500 (83.254)
Epoch: [67][5060/9018]	Time 0.617 (0.625)	Data 0.002 (0.003)	Loss 1.6762 (1.7189)	Prec@1 52.500 (54.131)	Prec@5 85.000 (83.255)
Epoch: [67][5070/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.8079 (1.7187)	Prec@1 55.000 (54.135)	Prec@5 78.500 (83.258)
Epoch: [67][5080/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.8194 (1.7188)	Prec@1 50.500 (54.134)	Prec@5 84.000 (83.257)
Epoch: [67][5090/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.8104 (1.7187)	Prec@1 51.500 (54.135)	Prec@5 79.500 (83.259)
Epoch: [67][5100/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 1.7102 (1.7187)	Prec@1 48.500 (54.133)	Prec@5 84.000 (83.258)
Epoch: [67][5110/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.6338 (1.7188)	Prec@1 58.500 (54.133)	Prec@5 85.000 (83.257)
Epoch: [67][5120/9018]	Time 0.659 (0.625)	Data 0.001 (0.003)	Loss 1.7324 (1.7187)	Prec@1 52.500 (54.135)	Prec@5 84.000 (83.260)
Epoch: [67][5130/9018]	Time 0.636 (0.625)	Data 0.007 (0.003)	Loss 1.6024 (1.7187)	Prec@1 51.500 (54.139)	Prec@5 86.500 (83.261)
Epoch: [67][5140/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.5407 (1.7185)	Prec@1 59.000 (54.142)	Prec@5 86.000 (83.262)
Epoch: [67][5150/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.7279 (1.7187)	Prec@1 52.500 (54.136)	Prec@5 84.000 (83.258)
Epoch: [67][5160/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.8997 (1.7186)	Prec@1 52.500 (54.137)	Prec@5 80.500 (83.260)
Epoch: [67][5170/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.9646 (1.7187)	Prec@1 50.500 (54.135)	Prec@5 78.000 (83.260)
Epoch: [67][5180/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.8893 (1.7187)	Prec@1 51.500 (54.138)	Prec@5 81.000 (83.261)
Epoch: [67][5190/9018]	Time 0.632 (0.625)	Data 0.001 (0.003)	Loss 1.6061 (1.7188)	Prec@1 55.500 (54.137)	Prec@5 86.000 (83.261)
Epoch: [67][5200/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.6565 (1.7189)	Prec@1 53.500 (54.137)	Prec@5 87.000 (83.260)
Epoch: [67][5210/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.9194 (1.7189)	Prec@1 49.000 (54.140)	Prec@5 79.500 (83.259)
Epoch: [67][5220/9018]	Time 0.772 (0.624)	Data 0.001 (0.003)	Loss 1.5245 (1.7189)	Prec@1 60.000 (54.140)	Prec@5 84.500 (83.258)
Epoch: [67][5230/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.5410 (1.7191)	Prec@1 57.500 (54.133)	Prec@5 87.000 (83.258)
Epoch: [67][5240/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 1.4595 (1.7190)	Prec@1 64.500 (54.135)	Prec@5 88.000 (83.258)
Epoch: [67][5250/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.6838 (1.7189)	Prec@1 56.500 (54.136)	Prec@5 85.500 (83.260)
Epoch: [67][5260/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.7026 (1.7189)	Prec@1 54.000 (54.136)	Prec@5 87.000 (83.263)
Epoch: [67][5270/9018]	Time 0.776 (0.624)	Data 0.001 (0.003)	Loss 1.7800 (1.7188)	Prec@1 53.500 (54.138)	Prec@5 83.500 (83.263)
Epoch: [67][5280/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 2.0623 (1.7189)	Prec@1 47.500 (54.136)	Prec@5 79.500 (83.262)
Epoch: [67][5290/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.6679 (1.7189)	Prec@1 55.000 (54.137)	Prec@5 80.500 (83.263)
Epoch: [67][5300/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.9610 (1.7190)	Prec@1 49.000 (54.134)	Prec@5 79.500 (83.263)
Epoch: [67][5310/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.7008 (1.7189)	Prec@1 56.500 (54.135)	Prec@5 79.500 (83.263)
Epoch: [67][5320/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.8966 (1.7190)	Prec@1 49.000 (54.133)	Prec@5 79.500 (83.261)
Epoch: [67][5330/9018]	Time 0.588 (0.624)	Data 0.001 (0.003)	Loss 1.8392 (1.7189)	Prec@1 52.500 (54.137)	Prec@5 83.000 (83.264)
Epoch: [67][5340/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.7282 (1.7189)	Prec@1 50.500 (54.136)	Prec@5 82.000 (83.265)
Epoch: [67][5350/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.8570 (1.7190)	Prec@1 50.000 (54.131)	Prec@5 82.000 (83.261)
Epoch: [67][5360/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.7961 (1.7191)	Prec@1 59.500 (54.134)	Prec@5 81.500 (83.260)
Epoch: [67][5370/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.5180 (1.7191)	Prec@1 57.000 (54.131)	Prec@5 82.000 (83.257)
Epoch: [67][5380/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.7014 (1.7192)	Prec@1 54.000 (54.131)	Prec@5 83.000 (83.257)
Epoch: [67][5390/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.5755 (1.7192)	Prec@1 60.000 (54.132)	Prec@5 84.500 (83.257)
Epoch: [67][5400/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.9393 (1.7192)	Prec@1 50.000 (54.131)	Prec@5 79.500 (83.256)
Epoch: [67][5410/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.9760 (1.7193)	Prec@1 49.500 (54.131)	Prec@5 77.500 (83.254)
Epoch: [67][5420/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 2.0163 (1.7195)	Prec@1 47.000 (54.127)	Prec@5 75.500 (83.250)
Epoch: [67][5430/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.8584 (1.7196)	Prec@1 51.500 (54.125)	Prec@5 83.500 (83.249)
Epoch: [67][5440/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.7014 (1.7196)	Prec@1 58.000 (54.124)	Prec@5 83.000 (83.249)
Epoch: [67][5450/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.7953 (1.7196)	Prec@1 51.000 (54.125)	Prec@5 79.500 (83.248)
Epoch: [67][5460/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.8556 (1.7197)	Prec@1 49.000 (54.123)	Prec@5 80.500 (83.246)
Epoch: [67][5470/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.8194 (1.7197)	Prec@1 51.500 (54.124)	Prec@5 80.000 (83.246)
Epoch: [67][5480/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.9077 (1.7196)	Prec@1 51.000 (54.125)	Prec@5 83.000 (83.247)
Epoch: [67][5490/9018]	Time 0.587 (0.624)	Data 0.001 (0.003)	Loss 1.5977 (1.7196)	Prec@1 56.500 (54.128)	Prec@5 82.500 (83.250)
Epoch: [67][5500/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.8397 (1.7195)	Prec@1 50.500 (54.127)	Prec@5 81.500 (83.249)
Epoch: [67][5510/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.9301 (1.7195)	Prec@1 49.500 (54.129)	Prec@5 76.500 (83.247)
Epoch: [67][5520/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.8473 (1.7195)	Prec@1 49.000 (54.127)	Prec@5 81.000 (83.247)
Epoch: [67][5530/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.8418 (1.7196)	Prec@1 57.500 (54.126)	Prec@5 80.000 (83.247)
Epoch: [67][5540/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.7264 (1.7195)	Prec@1 56.000 (54.126)	Prec@5 82.500 (83.248)
Epoch: [67][5550/9018]	Time 0.718 (0.624)	Data 0.001 (0.003)	Loss 1.6435 (1.7197)	Prec@1 54.500 (54.123)	Prec@5 84.000 (83.245)
Epoch: [67][5560/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.6278 (1.7197)	Prec@1 54.500 (54.121)	Prec@5 85.000 (83.244)
Epoch: [67][5570/9018]	Time 0.587 (0.624)	Data 0.001 (0.003)	Loss 1.6831 (1.7197)	Prec@1 53.000 (54.122)	Prec@5 85.500 (83.244)
Epoch: [67][5580/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.6814 (1.7198)	Prec@1 54.000 (54.121)	Prec@5 81.000 (83.243)
Epoch: [67][5590/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.7223 (1.7197)	Prec@1 51.000 (54.121)	Prec@5 84.500 (83.243)
Epoch: [67][5600/9018]	Time 0.746 (0.624)	Data 0.001 (0.003)	Loss 1.4911 (1.7197)	Prec@1 60.000 (54.121)	Prec@5 87.500 (83.242)
Epoch: [67][5610/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.5983 (1.7196)	Prec@1 59.500 (54.125)	Prec@5 85.000 (83.244)
Epoch: [67][5620/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6354 (1.7195)	Prec@1 56.500 (54.128)	Prec@5 85.000 (83.245)
Epoch: [67][5630/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.7431 (1.7195)	Prec@1 51.000 (54.125)	Prec@5 83.000 (83.244)
Epoch: [67][5640/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.8760 (1.7197)	Prec@1 51.500 (54.122)	Prec@5 80.000 (83.244)
Epoch: [67][5650/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.8304 (1.7197)	Prec@1 53.000 (54.122)	Prec@5 81.000 (83.243)
Epoch: [67][5660/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6534 (1.7196)	Prec@1 55.000 (54.126)	Prec@5 86.000 (83.244)
Epoch: [67][5670/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7764 (1.7196)	Prec@1 54.000 (54.125)	Prec@5 83.500 (83.244)
Epoch: [67][5680/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7031 (1.7196)	Prec@1 55.000 (54.127)	Prec@5 84.000 (83.242)
Epoch: [67][5690/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6274 (1.7196)	Prec@1 53.500 (54.128)	Prec@5 84.500 (83.242)
Epoch: [67][5700/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6429 (1.7196)	Prec@1 58.000 (54.129)	Prec@5 85.000 (83.243)
Epoch: [67][5710/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6902 (1.7196)	Prec@1 53.000 (54.128)	Prec@5 83.500 (83.243)
Epoch: [67][5720/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6616 (1.7196)	Prec@1 56.500 (54.129)	Prec@5 83.000 (83.243)
Epoch: [67][5730/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8241 (1.7196)	Prec@1 50.500 (54.127)	Prec@5 81.500 (83.243)
Epoch: [67][5740/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.5795 (1.7196)	Prec@1 55.000 (54.127)	Prec@5 86.500 (83.244)
Epoch: [67][5750/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6890 (1.7196)	Prec@1 58.000 (54.128)	Prec@5 82.000 (83.242)
Epoch: [67][5760/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.9863 (1.7197)	Prec@1 47.000 (54.126)	Prec@5 77.000 (83.240)
Epoch: [67][5770/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6671 (1.7198)	Prec@1 54.500 (54.125)	Prec@5 84.500 (83.239)
Epoch: [67][5780/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.8600 (1.7198)	Prec@1 60.500 (54.126)	Prec@5 82.000 (83.237)
Epoch: [67][5790/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7722 (1.7199)	Prec@1 51.000 (54.127)	Prec@5 81.500 (83.235)
Epoch: [67][5800/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.3907 (1.7199)	Prec@1 61.500 (54.127)	Prec@5 87.500 (83.234)
Epoch: [67][5810/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6855 (1.7200)	Prec@1 53.000 (54.124)	Prec@5 85.500 (83.233)
Epoch: [67][5820/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6037 (1.7200)	Prec@1 57.500 (54.124)	Prec@5 86.500 (83.234)
Epoch: [67][5830/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.5082 (1.7200)	Prec@1 59.500 (54.123)	Prec@5 84.500 (83.231)
Epoch: [67][5840/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7295 (1.7202)	Prec@1 53.500 (54.120)	Prec@5 80.000 (83.228)
Epoch: [67][5850/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8029 (1.7202)	Prec@1 55.500 (54.120)	Prec@5 81.500 (83.226)
Epoch: [67][5860/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6978 (1.7203)	Prec@1 56.500 (54.118)	Prec@5 85.000 (83.224)
Epoch: [67][5870/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.4505 (1.7203)	Prec@1 60.500 (54.116)	Prec@5 85.000 (83.225)
Epoch: [67][5880/9018]	Time 0.768 (0.623)	Data 0.001 (0.003)	Loss 1.6631 (1.7203)	Prec@1 58.000 (54.117)	Prec@5 83.000 (83.225)
Epoch: [67][5890/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7620 (1.7202)	Prec@1 55.500 (54.117)	Prec@5 82.500 (83.227)
Epoch: [67][5900/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.5247 (1.7201)	Prec@1 59.000 (54.121)	Prec@5 88.500 (83.229)
Epoch: [67][5910/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6620 (1.7202)	Prec@1 54.000 (54.118)	Prec@5 82.500 (83.227)
Epoch: [67][5920/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7112 (1.7203)	Prec@1 52.500 (54.118)	Prec@5 85.500 (83.227)
Epoch: [67][5930/9018]	Time 0.737 (0.623)	Data 0.001 (0.003)	Loss 1.8734 (1.7203)	Prec@1 50.000 (54.116)	Prec@5 82.000 (83.226)
Epoch: [67][5940/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.5390 (1.7203)	Prec@1 58.500 (54.114)	Prec@5 84.500 (83.227)
Epoch: [67][5950/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7599 (1.7204)	Prec@1 53.000 (54.113)	Prec@5 82.000 (83.226)
Epoch: [67][5960/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.4890 (1.7203)	Prec@1 59.500 (54.114)	Prec@5 86.500 (83.229)
Epoch: [67][5970/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6967 (1.7203)	Prec@1 52.000 (54.112)	Prec@5 81.000 (83.227)
Epoch: [67][5980/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.6829 (1.7204)	Prec@1 51.500 (54.112)	Prec@5 83.500 (83.227)
Epoch: [67][5990/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.4150 (1.7203)	Prec@1 60.000 (54.112)	Prec@5 87.500 (83.228)
Epoch: [67][6000/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.8477 (1.7204)	Prec@1 52.500 (54.110)	Prec@5 80.500 (83.226)
Epoch: [67][6010/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8323 (1.7204)	Prec@1 49.500 (54.110)	Prec@5 82.500 (83.225)
Epoch: [67][6020/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6959 (1.7205)	Prec@1 57.000 (54.111)	Prec@5 81.500 (83.224)
Epoch: [67][6030/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.5987 (1.7205)	Prec@1 57.000 (54.113)	Prec@5 85.000 (83.222)
Epoch: [67][6040/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7243 (1.7204)	Prec@1 56.000 (54.117)	Prec@5 82.500 (83.224)
Epoch: [67][6050/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7988 (1.7204)	Prec@1 56.000 (54.116)	Prec@5 84.500 (83.223)
Epoch: [67][6060/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.7273 (1.7204)	Prec@1 53.500 (54.117)	Prec@5 83.000 (83.221)
Epoch: [67][6070/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7735 (1.7206)	Prec@1 53.000 (54.113)	Prec@5 83.500 (83.219)
Epoch: [67][6080/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7025 (1.7206)	Prec@1 55.500 (54.113)	Prec@5 80.000 (83.218)
Epoch: [67][6090/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7155 (1.7206)	Prec@1 56.000 (54.113)	Prec@5 83.500 (83.219)
Epoch: [67][6100/9018]	Time 0.589 (0.623)	Data 0.001 (0.003)	Loss 1.5705 (1.7205)	Prec@1 58.000 (54.115)	Prec@5 83.000 (83.219)
Epoch: [67][6110/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.9163 (1.7205)	Prec@1 43.500 (54.116)	Prec@5 82.000 (83.220)
Epoch: [67][6120/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6782 (1.7206)	Prec@1 57.000 (54.114)	Prec@5 85.000 (83.219)
Epoch: [67][6130/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.8397 (1.7207)	Prec@1 51.000 (54.112)	Prec@5 79.000 (83.217)
Epoch: [67][6140/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7487 (1.7209)	Prec@1 52.500 (54.107)	Prec@5 82.500 (83.216)
Epoch: [67][6150/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6421 (1.7210)	Prec@1 56.000 (54.106)	Prec@5 84.000 (83.215)
Epoch: [67][6160/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8035 (1.7210)	Prec@1 50.500 (54.106)	Prec@5 83.500 (83.215)
Epoch: [67][6170/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7811 (1.7210)	Prec@1 51.500 (54.106)	Prec@5 82.500 (83.214)
Epoch: [67][6180/9018]	Time 0.588 (0.623)	Data 0.001 (0.003)	Loss 1.6584 (1.7209)	Prec@1 57.500 (54.109)	Prec@5 85.000 (83.215)
Epoch: [67][6190/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.7764 (1.7209)	Prec@1 52.500 (54.108)	Prec@5 81.000 (83.214)
Epoch: [67][6200/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7671 (1.7210)	Prec@1 53.000 (54.106)	Prec@5 85.500 (83.214)
Epoch: [67][6210/9018]	Time 0.776 (0.623)	Data 0.001 (0.003)	Loss 1.8422 (1.7209)	Prec@1 51.000 (54.107)	Prec@5 84.000 (83.216)
Epoch: [67][6220/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.5215 (1.7209)	Prec@1 56.000 (54.108)	Prec@5 88.000 (83.218)
Epoch: [67][6230/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.6297 (1.7208)	Prec@1 55.000 (54.112)	Prec@5 84.500 (83.220)
Epoch: [67][6240/9018]	Time 0.589 (0.622)	Data 0.001 (0.003)	Loss 1.6970 (1.7207)	Prec@1 59.000 (54.113)	Prec@5 86.000 (83.221)
Epoch: [67][6250/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.6243 (1.7207)	Prec@1 54.000 (54.112)	Prec@5 86.500 (83.221)
Epoch: [67][6260/9018]	Time 0.718 (0.622)	Data 0.001 (0.003)	Loss 1.6528 (1.7207)	Prec@1 56.000 (54.115)	Prec@5 86.000 (83.221)
Epoch: [67][6270/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.5519 (1.7206)	Prec@1 54.000 (54.117)	Prec@5 88.000 (83.221)
Epoch: [67][6280/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.6549 (1.7206)	Prec@1 50.000 (54.118)	Prec@5 82.500 (83.220)
Epoch: [67][6290/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.7339 (1.7206)	Prec@1 54.500 (54.117)	Prec@5 82.500 (83.220)
Epoch: [67][6300/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.6628 (1.7207)	Prec@1 56.000 (54.114)	Prec@5 83.500 (83.217)
Epoch: [67][6310/9018]	Time 0.636 (0.622)	Data 0.001 (0.003)	Loss 1.6489 (1.7207)	Prec@1 53.000 (54.112)	Prec@5 83.000 (83.216)
Epoch: [67][6320/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.7705 (1.7208)	Prec@1 57.500 (54.109)	Prec@5 82.000 (83.214)
Epoch: [67][6330/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6772 (1.7208)	Prec@1 54.000 (54.109)	Prec@5 85.500 (83.215)
Epoch: [67][6340/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.5764 (1.7207)	Prec@1 55.500 (54.114)	Prec@5 85.000 (83.216)
Epoch: [67][6350/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.6956 (1.7208)	Prec@1 53.500 (54.110)	Prec@5 81.500 (83.215)
Epoch: [67][6360/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.6424 (1.7208)	Prec@1 53.500 (54.109)	Prec@5 85.500 (83.217)
Epoch: [67][6370/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7549 (1.7207)	Prec@1 56.000 (54.110)	Prec@5 83.500 (83.216)
Epoch: [67][6380/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7883 (1.7208)	Prec@1 56.500 (54.110)	Prec@5 82.000 (83.216)
Epoch: [67][6390/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.5645 (1.7207)	Prec@1 59.000 (54.112)	Prec@5 86.000 (83.217)
Epoch: [67][6400/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.6211 (1.7207)	Prec@1 53.500 (54.115)	Prec@5 84.000 (83.219)
Epoch: [67][6410/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.8176 (1.7208)	Prec@1 53.000 (54.114)	Prec@5 82.500 (83.217)
Epoch: [67][6420/9018]	Time 0.631 (0.622)	Data 0.006 (0.003)	Loss 1.7237 (1.7207)	Prec@1 54.000 (54.115)	Prec@5 80.500 (83.217)
Epoch: [67][6430/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.9534 (1.7208)	Prec@1 46.500 (54.113)	Prec@5 81.000 (83.217)
Epoch: [67][6440/9018]	Time 0.580 (0.622)	Data 0.001 (0.003)	Loss 1.7785 (1.7208)	Prec@1 56.000 (54.112)	Prec@5 80.500 (83.219)
Epoch: [67][6450/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.6533 (1.7207)	Prec@1 56.000 (54.113)	Prec@5 83.000 (83.220)
Epoch: [67][6460/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.7434 (1.7207)	Prec@1 51.500 (54.114)	Prec@5 84.000 (83.221)
Epoch: [67][6470/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.8304 (1.7208)	Prec@1 53.500 (54.113)	Prec@5 80.500 (83.220)
Epoch: [67][6480/9018]	Time 0.607 (0.622)	Data 0.017 (0.003)	Loss 1.6258 (1.7207)	Prec@1 61.500 (54.114)	Prec@5 85.000 (83.222)
Epoch: [67][6490/9018]	Time 0.619 (0.622)	Data 0.006 (0.003)	Loss 1.7203 (1.7207)	Prec@1 52.000 (54.115)	Prec@5 82.500 (83.222)
Epoch: [67][6500/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.6937 (1.7207)	Prec@1 51.000 (54.116)	Prec@5 82.500 (83.222)
Epoch: [67][6510/9018]	Time 0.636 (0.622)	Data 0.015 (0.003)	Loss 1.6747 (1.7207)	Prec@1 55.000 (54.118)	Prec@5 85.500 (83.221)
Epoch: [67][6520/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.8344 (1.7206)	Prec@1 51.500 (54.117)	Prec@5 83.500 (83.221)
Epoch: [67][6530/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.5413 (1.7206)	Prec@1 58.000 (54.118)	Prec@5 89.000 (83.222)
Epoch: [67][6540/9018]	Time 0.761 (0.622)	Data 0.001 (0.003)	Loss 1.5723 (1.7206)	Prec@1 60.000 (54.117)	Prec@5 85.500 (83.222)
Epoch: [67][6550/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.5186 (1.7206)	Prec@1 58.500 (54.115)	Prec@5 88.000 (83.222)
Epoch: [67][6560/9018]	Time 0.636 (0.622)	Data 0.001 (0.003)	Loss 1.7377 (1.7206)	Prec@1 53.000 (54.114)	Prec@5 81.500 (83.221)
Epoch: [67][6570/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.9036 (1.7207)	Prec@1 48.000 (54.111)	Prec@5 81.500 (83.219)
Epoch: [67][6580/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.9533 (1.7208)	Prec@1 47.500 (54.109)	Prec@5 80.000 (83.218)
Epoch: [67][6590/9018]	Time 0.779 (0.622)	Data 0.001 (0.003)	Loss 1.7182 (1.7207)	Prec@1 56.000 (54.111)	Prec@5 80.500 (83.218)
Epoch: [67][6600/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.8244 (1.7208)	Prec@1 53.000 (54.110)	Prec@5 84.500 (83.216)
Epoch: [67][6610/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.6068 (1.7208)	Prec@1 55.500 (54.113)	Prec@5 85.500 (83.216)
Epoch: [67][6620/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 2.0048 (1.7209)	Prec@1 50.000 (54.109)	Prec@5 77.000 (83.216)
Epoch: [67][6630/9018]	Time 0.626 (0.622)	Data 0.013 (0.003)	Loss 1.7892 (1.7209)	Prec@1 51.500 (54.107)	Prec@5 80.000 (83.214)
Epoch: [67][6640/9018]	Time 0.624 (0.622)	Data 0.007 (0.003)	Loss 1.6859 (1.7209)	Prec@1 54.500 (54.108)	Prec@5 86.000 (83.217)
Epoch: [67][6650/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.5002 (1.7209)	Prec@1 60.000 (54.107)	Prec@5 88.500 (83.217)
Epoch: [67][6660/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.6693 (1.7209)	Prec@1 56.500 (54.108)	Prec@5 84.000 (83.215)
Epoch: [67][6670/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.7597 (1.7209)	Prec@1 54.000 (54.110)	Prec@5 82.500 (83.215)
Epoch: [67][6680/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.6965 (1.7209)	Prec@1 58.500 (54.112)	Prec@5 82.000 (83.216)
Epoch: [67][6690/9018]	Time 0.661 (0.622)	Data 0.001 (0.003)	Loss 1.6761 (1.7209)	Prec@1 54.500 (54.110)	Prec@5 86.500 (83.216)
Epoch: [67][6700/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.7697 (1.7209)	Prec@1 53.000 (54.110)	Prec@5 84.000 (83.215)
Epoch: [67][6710/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.8054 (1.7210)	Prec@1 54.000 (54.110)	Prec@5 82.500 (83.214)
Epoch: [67][6720/9018]	Time 0.615 (0.622)	Data 0.014 (0.003)	Loss 1.7261 (1.7208)	Prec@1 57.000 (54.112)	Prec@5 87.000 (83.217)
Epoch: [67][6730/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.7165 (1.7208)	Prec@1 55.500 (54.113)	Prec@5 81.500 (83.217)
Epoch: [67][6740/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7939 (1.7209)	Prec@1 47.500 (54.112)	Prec@5 83.000 (83.217)
Epoch: [67][6750/9018]	Time 0.622 (0.622)	Data 0.012 (0.003)	Loss 1.7652 (1.7209)	Prec@1 53.000 (54.112)	Prec@5 85.000 (83.216)
Epoch: [67][6760/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.7897 (1.7209)	Prec@1 55.000 (54.111)	Prec@5 82.500 (83.217)
Epoch: [67][6770/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.6809 (1.7209)	Prec@1 56.500 (54.113)	Prec@5 85.500 (83.215)
Epoch: [67][6780/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.6906 (1.7210)	Prec@1 52.000 (54.112)	Prec@5 85.500 (83.213)
Epoch: [67][6790/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.5771 (1.7211)	Prec@1 59.000 (54.111)	Prec@5 86.500 (83.212)
Epoch: [67][6800/9018]	Time 0.648 (0.622)	Data 0.015 (0.003)	Loss 1.5718 (1.7210)	Prec@1 54.000 (54.112)	Prec@5 84.500 (83.213)
Epoch: [67][6810/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.6384 (1.7210)	Prec@1 56.500 (54.113)	Prec@5 85.500 (83.213)
Epoch: [67][6820/9018]	Time 0.635 (0.622)	Data 0.001 (0.003)	Loss 1.6834 (1.7211)	Prec@1 52.500 (54.112)	Prec@5 83.500 (83.212)
Epoch: [67][6830/9018]	Time 0.632 (0.622)	Data 0.011 (0.003)	Loss 1.7921 (1.7211)	Prec@1 49.000 (54.110)	Prec@5 81.500 (83.211)
Epoch: [67][6840/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.7895 (1.7210)	Prec@1 58.000 (54.111)	Prec@5 83.000 (83.213)
Epoch: [67][6850/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.8290 (1.7211)	Prec@1 52.500 (54.107)	Prec@5 81.000 (83.211)
Epoch: [67][6860/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.6639 (1.7212)	Prec@1 53.500 (54.104)	Prec@5 85.000 (83.211)
Epoch: [67][6870/9018]	Time 0.787 (0.622)	Data 0.016 (0.003)	Loss 1.8534 (1.7212)	Prec@1 51.500 (54.103)	Prec@5 80.500 (83.211)
Epoch: [67][6880/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8695 (1.7213)	Prec@1 51.000 (54.103)	Prec@5 80.000 (83.209)
Epoch: [67][6890/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.7812 (1.7213)	Prec@1 54.000 (54.104)	Prec@5 83.000 (83.208)
Epoch: [67][6900/9018]	Time 0.656 (0.622)	Data 0.001 (0.003)	Loss 1.5942 (1.7213)	Prec@1 55.500 (54.103)	Prec@5 84.500 (83.209)
Epoch: [67][6910/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.6974 (1.7213)	Prec@1 52.500 (54.104)	Prec@5 84.500 (83.210)
Epoch: [67][6920/9018]	Time 0.734 (0.622)	Data 0.016 (0.003)	Loss 1.7669 (1.7213)	Prec@1 52.500 (54.103)	Prec@5 83.500 (83.210)
Epoch: [67][6930/9018]	Time 0.638 (0.622)	Data 0.001 (0.003)	Loss 1.7076 (1.7213)	Prec@1 47.500 (54.103)	Prec@5 83.000 (83.208)
Epoch: [67][6940/9018]	Time 0.607 (0.622)	Data 0.002 (0.003)	Loss 1.7378 (1.7213)	Prec@1 56.000 (54.103)	Prec@5 84.500 (83.208)
Epoch: [67][6950/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.9703 (1.7214)	Prec@1 46.000 (54.101)	Prec@5 82.000 (83.208)
Epoch: [67][6960/9018]	Time 0.626 (0.622)	Data 0.014 (0.003)	Loss 1.7304 (1.7214)	Prec@1 52.500 (54.099)	Prec@5 80.500 (83.207)
Epoch: [67][6970/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.6072 (1.7214)	Prec@1 58.000 (54.101)	Prec@5 84.000 (83.209)
Epoch: [67][6980/9018]	Time 0.651 (0.622)	Data 0.001 (0.003)	Loss 1.6662 (1.7214)	Prec@1 53.000 (54.099)	Prec@5 86.500 (83.208)
Epoch: [67][6990/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6696 (1.7214)	Prec@1 59.000 (54.101)	Prec@5 82.000 (83.207)
Epoch: [67][7000/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.5422 (1.7214)	Prec@1 58.500 (54.100)	Prec@5 84.000 (83.207)
Epoch: [67][7010/9018]	Time 0.601 (0.623)	Data 0.004 (0.003)	Loss 1.7316 (1.7215)	Prec@1 50.500 (54.098)	Prec@5 84.000 (83.205)
Epoch: [67][7020/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.8730 (1.7216)	Prec@1 52.500 (54.097)	Prec@5 81.000 (83.204)
Epoch: [67][7030/9018]	Time 0.614 (0.623)	Data 0.002 (0.003)	Loss 1.7491 (1.7216)	Prec@1 55.000 (54.097)	Prec@5 83.000 (83.204)
Epoch: [67][7040/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.8640 (1.7216)	Prec@1 44.500 (54.096)	Prec@5 80.000 (83.205)
Epoch: [67][7050/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 2.0350 (1.7216)	Prec@1 46.000 (54.094)	Prec@5 81.000 (83.205)
Epoch: [67][7060/9018]	Time 0.629 (0.623)	Data 0.007 (0.003)	Loss 1.6156 (1.7216)	Prec@1 56.000 (54.093)	Prec@5 87.000 (83.206)
Epoch: [67][7070/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7565 (1.7218)	Prec@1 53.500 (54.092)	Prec@5 83.500 (83.204)
Epoch: [67][7080/9018]	Time 0.625 (0.623)	Data 0.008 (0.003)	Loss 1.5679 (1.7217)	Prec@1 59.000 (54.093)	Prec@5 85.000 (83.206)
Epoch: [67][7090/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6989 (1.7218)	Prec@1 55.500 (54.092)	Prec@5 81.000 (83.204)
Epoch: [67][7100/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.7116 (1.7218)	Prec@1 54.000 (54.093)	Prec@5 82.500 (83.203)
Epoch: [67][7110/9018]	Time 0.618 (0.623)	Data 0.007 (0.003)	Loss 1.6603 (1.7218)	Prec@1 57.500 (54.095)	Prec@5 84.500 (83.203)
Epoch: [67][7120/9018]	Time 0.622 (0.623)	Data 0.004 (0.003)	Loss 1.9740 (1.7218)	Prec@1 48.500 (54.094)	Prec@5 81.000 (83.203)
Epoch: [67][7130/9018]	Time 0.631 (0.623)	Data 0.002 (0.003)	Loss 1.7337 (1.7218)	Prec@1 54.500 (54.093)	Prec@5 85.000 (83.203)
Epoch: [67][7140/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5767 (1.7218)	Prec@1 59.500 (54.094)	Prec@5 85.500 (83.202)
Epoch: [67][7150/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.5068 (1.7219)	Prec@1 60.000 (54.094)	Prec@5 87.500 (83.201)
Epoch: [67][7160/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7526 (1.7219)	Prec@1 55.500 (54.093)	Prec@5 82.000 (83.200)
Epoch: [67][7170/9018]	Time 0.616 (0.623)	Data 0.007 (0.003)	Loss 1.8062 (1.7220)	Prec@1 51.500 (54.091)	Prec@5 80.500 (83.199)
Epoch: [67][7180/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.9387 (1.7221)	Prec@1 54.000 (54.089)	Prec@5 81.000 (83.198)
Epoch: [67][7190/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7811 (1.7221)	Prec@1 53.500 (54.090)	Prec@5 81.500 (83.197)
Epoch: [67][7200/9018]	Time 0.726 (0.623)	Data 0.001 (0.003)	Loss 1.5306 (1.7220)	Prec@1 55.500 (54.092)	Prec@5 88.000 (83.197)
Epoch: [67][7210/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.6482 (1.7220)	Prec@1 57.000 (54.093)	Prec@5 84.500 (83.196)
Epoch: [67][7220/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7317 (1.7220)	Prec@1 55.500 (54.093)	Prec@5 81.500 (83.196)
Epoch: [67][7230/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.7772 (1.7220)	Prec@1 54.500 (54.093)	Prec@5 79.500 (83.196)
Epoch: [67][7240/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7679 (1.7220)	Prec@1 54.000 (54.093)	Prec@5 82.000 (83.196)
Epoch: [67][7250/9018]	Time 0.759 (0.623)	Data 0.001 (0.003)	Loss 1.8048 (1.7221)	Prec@1 51.500 (54.092)	Prec@5 82.000 (83.195)
Epoch: [67][7260/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.7245 (1.7221)	Prec@1 52.500 (54.091)	Prec@5 83.000 (83.195)
Epoch: [67][7270/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7123 (1.7221)	Prec@1 54.500 (54.090)	Prec@5 83.500 (83.194)
Epoch: [67][7280/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7800 (1.7221)	Prec@1 53.000 (54.090)	Prec@5 83.500 (83.195)
Epoch: [67][7290/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 2.0627 (1.7223)	Prec@1 45.000 (54.086)	Prec@5 79.500 (83.193)
Epoch: [67][7300/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7562 (1.7223)	Prec@1 51.500 (54.088)	Prec@5 85.500 (83.194)
Epoch: [67][7310/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7846 (1.7223)	Prec@1 53.000 (54.088)	Prec@5 78.500 (83.193)
Epoch: [67][7320/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8031 (1.7223)	Prec@1 53.000 (54.087)	Prec@5 84.500 (83.194)
Epoch: [67][7330/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.7422 (1.7223)	Prec@1 56.000 (54.087)	Prec@5 84.000 (83.194)
Epoch: [67][7340/9018]	Time 0.629 (0.623)	Data 0.007 (0.003)	Loss 1.8302 (1.7223)	Prec@1 56.500 (54.086)	Prec@5 81.000 (83.194)
Epoch: [67][7350/9018]	Time 0.616 (0.623)	Data 0.007 (0.003)	Loss 1.6423 (1.7223)	Prec@1 52.000 (54.084)	Prec@5 87.000 (83.195)
Epoch: [67][7360/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8047 (1.7223)	Prec@1 54.500 (54.085)	Prec@5 82.500 (83.196)
Epoch: [67][7370/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8225 (1.7222)	Prec@1 51.500 (54.086)	Prec@5 83.000 (83.197)
Epoch: [67][7380/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.5957 (1.7223)	Prec@1 56.500 (54.085)	Prec@5 84.500 (83.197)
Epoch: [67][7390/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.5423 (1.7222)	Prec@1 56.000 (54.084)	Prec@5 86.000 (83.197)
Epoch: [67][7400/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.9756 (1.7223)	Prec@1 46.500 (54.083)	Prec@5 81.500 (83.198)
Epoch: [67][7410/9018]	Time 0.622 (0.623)	Data 0.013 (0.003)	Loss 1.7636 (1.7222)	Prec@1 51.000 (54.083)	Prec@5 82.000 (83.200)
Epoch: [67][7420/9018]	Time 0.625 (0.623)	Data 0.015 (0.003)	Loss 1.4141 (1.7221)	Prec@1 63.500 (54.086)	Prec@5 89.500 (83.202)
Epoch: [67][7430/9018]	Time 0.615 (0.623)	Data 0.004 (0.003)	Loss 1.5050 (1.7220)	Prec@1 62.000 (54.087)	Prec@5 87.500 (83.204)
Epoch: [67][7440/9018]	Time 0.652 (0.623)	Data 0.016 (0.003)	Loss 1.9781 (1.7220)	Prec@1 50.000 (54.086)	Prec@5 80.500 (83.204)
Epoch: [67][7450/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.5241 (1.7220)	Prec@1 60.000 (54.085)	Prec@5 85.500 (83.205)
Epoch: [67][7460/9018]	Time 0.633 (0.623)	Data 0.006 (0.003)	Loss 1.6810 (1.7220)	Prec@1 57.500 (54.085)	Prec@5 80.500 (83.206)
Epoch: [67][7470/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7207 (1.7220)	Prec@1 51.000 (54.083)	Prec@5 84.000 (83.206)
Epoch: [67][7480/9018]	Time 0.610 (0.623)	Data 0.007 (0.003)	Loss 1.8212 (1.7220)	Prec@1 52.000 (54.084)	Prec@5 79.500 (83.206)
Epoch: [67][7490/9018]	Time 0.622 (0.623)	Data 0.004 (0.003)	Loss 1.7179 (1.7220)	Prec@1 54.000 (54.086)	Prec@5 81.000 (83.206)
Epoch: [67][7500/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.5576 (1.7220)	Prec@1 57.000 (54.085)	Prec@5 85.000 (83.207)
Epoch: [67][7510/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.9835 (1.7220)	Prec@1 46.000 (54.082)	Prec@5 80.000 (83.206)
Epoch: [67][7520/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.5952 (1.7220)	Prec@1 56.500 (54.085)	Prec@5 87.000 (83.208)
Epoch: [67][7530/9018]	Time 0.731 (0.623)	Data 0.001 (0.003)	Loss 1.6223 (1.7220)	Prec@1 55.000 (54.085)	Prec@5 83.500 (83.206)
Epoch: [67][7540/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 2.0267 (1.7221)	Prec@1 43.500 (54.082)	Prec@5 79.500 (83.205)
Epoch: [67][7550/9018]	Time 0.587 (0.623)	Data 0.001 (0.003)	Loss 1.6052 (1.7220)	Prec@1 55.500 (54.085)	Prec@5 83.500 (83.205)
Epoch: [67][7560/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.5153 (1.7220)	Prec@1 58.000 (54.086)	Prec@5 87.500 (83.205)
Epoch: [67][7570/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7977 (1.7221)	Prec@1 53.000 (54.086)	Prec@5 81.500 (83.204)
Epoch: [67][7580/9018]	Time 0.777 (0.623)	Data 0.003 (0.003)	Loss 1.8144 (1.7220)	Prec@1 52.000 (54.087)	Prec@5 81.000 (83.204)
Epoch: [67][7590/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8237 (1.7220)	Prec@1 49.000 (54.087)	Prec@5 78.000 (83.205)
Epoch: [67][7600/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.5180 (1.7220)	Prec@1 58.000 (54.088)	Prec@5 86.500 (83.206)
Epoch: [67][7610/9018]	Time 0.617 (0.623)	Data 0.006 (0.003)	Loss 1.8470 (1.7220)	Prec@1 51.500 (54.087)	Prec@5 80.000 (83.205)
Epoch: [67][7620/9018]	Time 0.601 (0.623)	Data 0.006 (0.003)	Loss 1.8706 (1.7221)	Prec@1 48.000 (54.085)	Prec@5 80.000 (83.203)
Epoch: [67][7630/9018]	Time 0.645 (0.623)	Data 0.001 (0.003)	Loss 1.6107 (1.7220)	Prec@1 57.500 (54.088)	Prec@5 82.500 (83.203)
Epoch: [67][7640/9018]	Time 0.598 (0.623)	Data 0.014 (0.003)	Loss 1.6479 (1.7220)	Prec@1 57.000 (54.088)	Prec@5 84.000 (83.204)
Epoch: [67][7650/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8138 (1.7220)	Prec@1 54.000 (54.087)	Prec@5 84.500 (83.204)
Epoch: [67][7660/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7517 (1.7220)	Prec@1 53.500 (54.089)	Prec@5 82.500 (83.204)
Epoch: [67][7670/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6910 (1.7220)	Prec@1 54.000 (54.088)	Prec@5 81.500 (83.203)
Epoch: [67][7680/9018]	Time 0.625 (0.623)	Data 0.009 (0.003)	Loss 1.7592 (1.7221)	Prec@1 53.000 (54.086)	Prec@5 82.000 (83.200)
Epoch: [67][7690/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8684 (1.7222)	Prec@1 49.000 (54.085)	Prec@5 79.500 (83.199)
Epoch: [67][7700/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7345 (1.7223)	Prec@1 55.500 (54.083)	Prec@5 84.000 (83.197)
Epoch: [67][7710/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7496 (1.7222)	Prec@1 53.000 (54.084)	Prec@5 82.000 (83.197)
Epoch: [67][7720/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7551 (1.7223)	Prec@1 51.000 (54.081)	Prec@5 82.000 (83.194)
Epoch: [67][7730/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7510 (1.7223)	Prec@1 56.500 (54.081)	Prec@5 77.500 (83.193)
Epoch: [67][7740/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.4908 (1.7223)	Prec@1 61.000 (54.081)	Prec@5 88.500 (83.194)
Epoch: [67][7750/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.8665 (1.7223)	Prec@1 49.500 (54.083)	Prec@5 80.000 (83.196)
Epoch: [67][7760/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8809 (1.7224)	Prec@1 49.500 (54.078)	Prec@5 78.500 (83.194)
Epoch: [67][7770/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6234 (1.7224)	Prec@1 53.000 (54.076)	Prec@5 85.500 (83.195)
Epoch: [67][7780/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7906 (1.7224)	Prec@1 51.500 (54.074)	Prec@5 83.500 (83.195)
Epoch: [67][7790/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.5112 (1.7224)	Prec@1 56.500 (54.074)	Prec@5 88.500 (83.197)
Epoch: [67][7800/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7812 (1.7224)	Prec@1 57.000 (54.075)	Prec@5 78.500 (83.195)
Epoch: [67][7810/9018]	Time 0.619 (0.623)	Data 0.014 (0.003)	Loss 2.0047 (1.7225)	Prec@1 50.500 (54.073)	Prec@5 81.000 (83.194)
Epoch: [67][7820/9018]	Time 0.606 (0.623)	Data 0.013 (0.003)	Loss 1.5632 (1.7225)	Prec@1 56.500 (54.074)	Prec@5 85.500 (83.193)
Epoch: [67][7830/9018]	Time 0.645 (0.623)	Data 0.001 (0.003)	Loss 1.7425 (1.7226)	Prec@1 51.000 (54.069)	Prec@5 85.000 (83.191)
Epoch: [67][7840/9018]	Time 0.589 (0.623)	Data 0.001 (0.003)	Loss 1.8162 (1.7227)	Prec@1 52.000 (54.066)	Prec@5 77.500 (83.190)
Epoch: [67][7850/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8258 (1.7227)	Prec@1 54.500 (54.065)	Prec@5 81.500 (83.189)
Epoch: [67][7860/9018]	Time 0.775 (0.623)	Data 0.001 (0.003)	Loss 1.8021 (1.7227)	Prec@1 55.500 (54.067)	Prec@5 82.500 (83.190)
Epoch: [67][7870/9018]	Time 0.649 (0.623)	Data 0.015 (0.003)	Loss 1.5891 (1.7226)	Prec@1 60.500 (54.068)	Prec@5 84.500 (83.192)
Epoch: [67][7880/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.6999 (1.7227)	Prec@1 55.000 (54.068)	Prec@5 85.500 (83.190)
Epoch: [67][7890/9018]	Time 0.615 (0.623)	Data 0.007 (0.003)	Loss 1.6548 (1.7227)	Prec@1 54.500 (54.068)	Prec@5 85.000 (83.190)
Epoch: [67][7900/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7664 (1.7227)	Prec@1 52.500 (54.069)	Prec@5 83.000 (83.190)
Epoch: [67][7910/9018]	Time 0.723 (0.623)	Data 0.001 (0.003)	Loss 1.8142 (1.7228)	Prec@1 49.500 (54.065)	Prec@5 82.500 (83.189)
Epoch: [67][7920/9018]	Time 0.608 (0.623)	Data 0.014 (0.003)	Loss 1.7393 (1.7227)	Prec@1 55.500 (54.066)	Prec@5 83.000 (83.190)
Epoch: [67][7930/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8843 (1.7228)	Prec@1 51.500 (54.066)	Prec@5 79.000 (83.189)
Epoch: [67][7940/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.9345 (1.7228)	Prec@1 46.000 (54.065)	Prec@5 79.500 (83.190)
Epoch: [67][7950/9018]	Time 0.601 (0.623)	Data 0.002 (0.003)	Loss 1.4314 (1.7228)	Prec@1 61.500 (54.066)	Prec@5 86.500 (83.191)
Epoch: [67][7960/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.4628 (1.7227)	Prec@1 57.000 (54.067)	Prec@5 87.000 (83.192)
Epoch: [67][7970/9018]	Time 0.610 (0.623)	Data 0.003 (0.003)	Loss 1.8225 (1.7227)	Prec@1 48.000 (54.066)	Prec@5 81.500 (83.193)
Epoch: [67][7980/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7570 (1.7227)	Prec@1 53.000 (54.066)	Prec@5 83.500 (83.193)
Epoch: [67][7990/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.9972 (1.7227)	Prec@1 50.500 (54.066)	Prec@5 78.000 (83.192)
Epoch: [67][8000/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.8328 (1.7228)	Prec@1 53.000 (54.065)	Prec@5 79.500 (83.191)
Epoch: [67][8010/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6787 (1.7227)	Prec@1 58.500 (54.068)	Prec@5 84.500 (83.192)
Epoch: [67][8020/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7052 (1.7227)	Prec@1 51.000 (54.068)	Prec@5 82.500 (83.192)
Epoch: [67][8030/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6002 (1.7227)	Prec@1 59.000 (54.069)	Prec@5 86.500 (83.192)
Epoch: [67][8040/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.5221 (1.7225)	Prec@1 57.500 (54.073)	Prec@5 86.000 (83.195)
Epoch: [67][8050/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8300 (1.7226)	Prec@1 52.500 (54.071)	Prec@5 81.500 (83.192)
Epoch: [67][8060/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8271 (1.7226)	Prec@1 52.500 (54.070)	Prec@5 83.500 (83.191)
Epoch: [67][8070/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.7840 (1.7226)	Prec@1 54.500 (54.070)	Prec@5 81.500 (83.192)
Epoch: [67][8080/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6165 (1.7226)	Prec@1 54.000 (54.070)	Prec@5 84.500 (83.193)
Epoch: [67][8090/9018]	Time 0.610 (0.623)	Data 0.017 (0.003)	Loss 1.5972 (1.7225)	Prec@1 58.000 (54.069)	Prec@5 85.500 (83.194)
Epoch: [67][8100/9018]	Time 0.595 (0.623)	Data 0.013 (0.003)	Loss 1.6896 (1.7226)	Prec@1 54.500 (54.068)	Prec@5 82.000 (83.193)
Epoch: [67][8110/9018]	Time 0.605 (0.623)	Data 0.007 (0.003)	Loss 1.5391 (1.7225)	Prec@1 59.500 (54.069)	Prec@5 86.500 (83.195)
Epoch: [67][8120/9018]	Time 0.636 (0.623)	Data 0.016 (0.003)	Loss 1.5552 (1.7224)	Prec@1 55.000 (54.071)	Prec@5 87.500 (83.197)
Epoch: [67][8130/9018]	Time 0.599 (0.623)	Data 0.014 (0.003)	Loss 1.9912 (1.7225)	Prec@1 50.500 (54.071)	Prec@5 78.000 (83.196)
Epoch: [67][8140/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.8308 (1.7225)	Prec@1 52.000 (54.069)	Prec@5 81.500 (83.196)
Epoch: [67][8150/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.9544 (1.7224)	Prec@1 53.500 (54.072)	Prec@5 81.500 (83.198)
Epoch: [67][8160/9018]	Time 0.632 (0.623)	Data 0.013 (0.003)	Loss 1.5835 (1.7225)	Prec@1 55.500 (54.072)	Prec@5 85.500 (83.196)
Epoch: [67][8170/9018]	Time 0.635 (0.623)	Data 0.002 (0.003)	Loss 1.9178 (1.7225)	Prec@1 51.500 (54.072)	Prec@5 76.500 (83.195)
Epoch: [67][8180/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8385 (1.7226)	Prec@1 54.500 (54.071)	Prec@5 82.000 (83.194)
Epoch: [67][8190/9018]	Time 0.758 (0.623)	Data 0.014 (0.003)	Loss 1.6292 (1.7225)	Prec@1 55.500 (54.072)	Prec@5 85.500 (83.195)
Epoch: [67][8200/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.7106 (1.7226)	Prec@1 56.000 (54.072)	Prec@5 82.000 (83.196)
Epoch: [67][8210/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8380 (1.7225)	Prec@1 50.000 (54.072)	Prec@5 84.000 (83.197)
Epoch: [67][8220/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.8695 (1.7225)	Prec@1 52.500 (54.071)	Prec@5 77.500 (83.198)
Epoch: [67][8230/9018]	Time 0.629 (0.623)	Data 0.007 (0.003)	Loss 1.6854 (1.7226)	Prec@1 53.000 (54.069)	Prec@5 85.500 (83.197)
Epoch: [67][8240/9018]	Time 0.726 (0.623)	Data 0.001 (0.003)	Loss 1.6956 (1.7226)	Prec@1 53.000 (54.070)	Prec@5 82.000 (83.197)
Epoch: [67][8250/9018]	Time 0.613 (0.623)	Data 0.014 (0.003)	Loss 1.8602 (1.7226)	Prec@1 50.000 (54.070)	Prec@5 82.000 (83.197)
Epoch: [67][8260/9018]	Time 0.621 (0.623)	Data 0.012 (0.003)	Loss 1.6541 (1.7225)	Prec@1 60.500 (54.071)	Prec@5 82.000 (83.198)
Epoch: [67][8270/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.5319 (1.7226)	Prec@1 57.000 (54.070)	Prec@5 86.500 (83.198)
Epoch: [67][8280/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7179 (1.7225)	Prec@1 56.000 (54.071)	Prec@5 84.500 (83.198)
Epoch: [67][8290/9018]	Time 0.656 (0.623)	Data 0.001 (0.003)	Loss 1.8661 (1.7226)	Prec@1 53.000 (54.070)	Prec@5 78.500 (83.197)
Epoch: [67][8300/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.8800 (1.7226)	Prec@1 53.500 (54.069)	Prec@5 81.500 (83.196)
Epoch: [67][8310/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.9985 (1.7225)	Prec@1 49.500 (54.071)	Prec@5 77.000 (83.195)
Epoch: [67][8320/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7360 (1.7225)	Prec@1 58.000 (54.073)	Prec@5 84.000 (83.195)
Epoch: [67][8330/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.9532 (1.7225)	Prec@1 52.500 (54.073)	Prec@5 80.000 (83.194)
Epoch: [67][8340/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.8202 (1.7226)	Prec@1 51.000 (54.072)	Prec@5 82.500 (83.193)
Epoch: [67][8350/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7124 (1.7225)	Prec@1 53.000 (54.074)	Prec@5 84.500 (83.194)
Epoch: [67][8360/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7631 (1.7225)	Prec@1 49.000 (54.074)	Prec@5 83.000 (83.193)
Epoch: [67][8370/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.7333 (1.7225)	Prec@1 56.000 (54.074)	Prec@5 83.500 (83.193)
Epoch: [67][8380/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.7715 (1.7225)	Prec@1 52.000 (54.074)	Prec@5 83.500 (83.193)
Epoch: [67][8390/9018]	Time 0.649 (0.623)	Data 0.001 (0.003)	Loss 1.7738 (1.7225)	Prec@1 54.000 (54.073)	Prec@5 82.500 (83.193)
Epoch: [67][8400/9018]	Time 0.604 (0.623)	Data 0.004 (0.003)	Loss 1.6608 (1.7225)	Prec@1 55.500 (54.073)	Prec@5 87.000 (83.193)
Epoch: [67][8410/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8828 (1.7226)	Prec@1 51.500 (54.073)	Prec@5 80.000 (83.193)
Epoch: [67][8420/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.8649 (1.7226)	Prec@1 53.000 (54.073)	Prec@5 80.000 (83.192)
Epoch: [67][8430/9018]	Time 0.605 (0.623)	Data 0.013 (0.003)	Loss 1.7125 (1.7226)	Prec@1 57.500 (54.074)	Prec@5 83.000 (83.193)
Epoch: [67][8440/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.9395 (1.7226)	Prec@1 52.000 (54.073)	Prec@5 81.500 (83.194)
Epoch: [67][8450/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8594 (1.7226)	Prec@1 50.500 (54.073)	Prec@5 80.500 (83.194)
Epoch: [67][8460/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7043 (1.7226)	Prec@1 56.500 (54.072)	Prec@5 84.000 (83.195)
Epoch: [67][8470/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6350 (1.7226)	Prec@1 56.500 (54.073)	Prec@5 83.500 (83.195)
Epoch: [67][8480/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7091 (1.7226)	Prec@1 56.000 (54.074)	Prec@5 84.000 (83.194)
Epoch: [67][8490/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8065 (1.7227)	Prec@1 53.500 (54.073)	Prec@5 83.000 (83.193)
Epoch: [67][8500/9018]	Time 0.610 (0.623)	Data 0.023 (0.003)	Loss 1.9418 (1.7228)	Prec@1 47.000 (54.071)	Prec@5 78.000 (83.191)
Epoch: [67][8510/9018]	Time 0.649 (0.623)	Data 0.016 (0.003)	Loss 1.6191 (1.7227)	Prec@1 59.500 (54.074)	Prec@5 83.000 (83.194)
Epoch: [67][8520/9018]	Time 0.733 (0.623)	Data 0.001 (0.003)	Loss 1.5019 (1.7226)	Prec@1 58.000 (54.074)	Prec@5 87.000 (83.196)
Epoch: [67][8530/9018]	Time 0.602 (0.623)	Data 0.015 (0.003)	Loss 1.9236 (1.7227)	Prec@1 51.500 (54.073)	Prec@5 82.000 (83.195)
Epoch: [67][8540/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8135 (1.7227)	Prec@1 51.500 (54.071)	Prec@5 83.000 (83.194)
Epoch: [67][8550/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7208 (1.7228)	Prec@1 51.500 (54.070)	Prec@5 85.000 (83.194)
Epoch: [67][8560/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.6411 (1.7228)	Prec@1 57.000 (54.069)	Prec@5 84.000 (83.194)
Epoch: [67][8570/9018]	Time 0.751 (0.623)	Data 0.001 (0.003)	Loss 1.6981 (1.7228)	Prec@1 58.000 (54.069)	Prec@5 83.000 (83.193)
Epoch: [67][8580/9018]	Time 0.631 (0.623)	Data 0.007 (0.003)	Loss 1.7551 (1.7229)	Prec@1 49.500 (54.067)	Prec@5 85.000 (83.192)
Epoch: [67][8590/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6611 (1.7230)	Prec@1 54.000 (54.066)	Prec@5 83.000 (83.189)
Epoch: [67][8600/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.6741 (1.7230)	Prec@1 58.000 (54.068)	Prec@5 85.000 (83.189)
Epoch: [67][8610/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.8084 (1.7230)	Prec@1 48.500 (54.067)	Prec@5 85.500 (83.190)
Epoch: [67][8620/9018]	Time 0.609 (0.623)	Data 0.007 (0.003)	Loss 1.6023 (1.7230)	Prec@1 58.000 (54.068)	Prec@5 84.000 (83.191)
Epoch: [67][8630/9018]	Time 0.628 (0.623)	Data 0.002 (0.003)	Loss 1.6699 (1.7230)	Prec@1 54.000 (54.069)	Prec@5 84.000 (83.191)
Epoch: [67][8640/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7171 (1.7229)	Prec@1 55.000 (54.069)	Prec@5 82.500 (83.190)
Epoch: [67][8650/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.5409 (1.7229)	Prec@1 60.500 (54.072)	Prec@5 85.500 (83.190)
Epoch: [67][8660/9018]	Time 0.629 (0.623)	Data 0.007 (0.003)	Loss 1.7442 (1.7229)	Prec@1 54.000 (54.072)	Prec@5 79.500 (83.190)
Epoch: [67][8670/9018]	Time 0.637 (0.623)	Data 0.015 (0.003)	Loss 1.7679 (1.7229)	Prec@1 54.000 (54.072)	Prec@5 81.500 (83.190)
Epoch: [67][8680/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6034 (1.7228)	Prec@1 54.000 (54.074)	Prec@5 86.000 (83.191)
Epoch: [67][8690/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.4662 (1.7228)	Prec@1 62.000 (54.073)	Prec@5 87.000 (83.191)
Epoch: [67][8700/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.6412 (1.7228)	Prec@1 58.000 (54.073)	Prec@5 87.500 (83.192)
Epoch: [67][8710/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7689 (1.7228)	Prec@1 51.000 (54.072)	Prec@5 81.000 (83.191)
Epoch: [67][8720/9018]	Time 0.648 (0.623)	Data 0.001 (0.003)	Loss 1.5118 (1.7228)	Prec@1 57.500 (54.071)	Prec@5 87.000 (83.190)
Epoch: [67][8730/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.5942 (1.7228)	Prec@1 54.000 (54.070)	Prec@5 86.000 (83.190)
Epoch: [67][8740/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8046 (1.7229)	Prec@1 49.500 (54.069)	Prec@5 83.000 (83.190)
Epoch: [67][8750/9018]	Time 0.609 (0.623)	Data 0.007 (0.003)	Loss 1.9047 (1.7229)	Prec@1 52.500 (54.068)	Prec@5 79.000 (83.188)
Epoch: [67][8760/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.9039 (1.7229)	Prec@1 51.000 (54.067)	Prec@5 80.000 (83.188)
Epoch: [67][8770/9018]	Time 0.644 (0.623)	Data 0.015 (0.003)	Loss 1.8984 (1.7230)	Prec@1 50.500 (54.066)	Prec@5 79.500 (83.187)
Epoch: [67][8780/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.5447 (1.7229)	Prec@1 52.000 (54.064)	Prec@5 87.000 (83.189)
Epoch: [67][8790/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.9386 (1.7230)	Prec@1 48.000 (54.062)	Prec@5 77.500 (83.187)
Epoch: [67][8800/9018]	Time 0.648 (0.623)	Data 0.016 (0.003)	Loss 1.7625 (1.7230)	Prec@1 55.000 (54.063)	Prec@5 83.500 (83.188)
Epoch: [67][8810/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.5912 (1.7230)	Prec@1 58.000 (54.062)	Prec@5 87.500 (83.188)
Epoch: [67][8820/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.6491 (1.7230)	Prec@1 60.500 (54.062)	Prec@5 82.000 (83.187)
Epoch: [67][8830/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7598 (1.7230)	Prec@1 54.000 (54.063)	Prec@5 82.500 (83.187)
Epoch: [67][8840/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.8345 (1.7230)	Prec@1 51.000 (54.063)	Prec@5 81.500 (83.187)
Epoch: [67][8850/9018]	Time 0.722 (0.623)	Data 0.001 (0.003)	Loss 1.6200 (1.7230)	Prec@1 53.000 (54.061)	Prec@5 86.000 (83.187)
Epoch: [67][8860/9018]	Time 0.623 (0.623)	Data 0.002 (0.003)	Loss 1.9482 (1.7230)	Prec@1 47.500 (54.060)	Prec@5 80.000 (83.186)
Epoch: [67][8870/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7035 (1.7231)	Prec@1 58.500 (54.060)	Prec@5 82.500 (83.187)
Epoch: [67][8880/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7210 (1.7230)	Prec@1 55.000 (54.061)	Prec@5 87.000 (83.187)
Epoch: [67][8890/9018]	Time 0.612 (0.623)	Data 0.002 (0.003)	Loss 1.7082 (1.7230)	Prec@1 54.000 (54.060)	Prec@5 83.500 (83.188)
Epoch: [67][8900/9018]	Time 0.766 (0.623)	Data 0.001 (0.003)	Loss 1.6363 (1.7230)	Prec@1 55.500 (54.061)	Prec@5 88.000 (83.188)
Epoch: [67][8910/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7955 (1.7230)	Prec@1 55.000 (54.059)	Prec@5 80.500 (83.187)
Epoch: [67][8920/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6012 (1.7231)	Prec@1 57.000 (54.058)	Prec@5 82.000 (83.187)
Epoch: [67][8930/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7319 (1.7231)	Prec@1 54.000 (54.058)	Prec@5 84.500 (83.187)
Epoch: [67][8940/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6320 (1.7231)	Prec@1 54.500 (54.057)	Prec@5 81.000 (83.187)
Epoch: [67][8950/9018]	Time 0.624 (0.623)	Data 0.017 (0.003)	Loss 1.7317 (1.7231)	Prec@1 56.000 (54.056)	Prec@5 84.000 (83.186)
Epoch: [67][8960/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7812 (1.7232)	Prec@1 52.500 (54.056)	Prec@5 83.000 (83.185)
Epoch: [67][8970/9018]	Time 0.608 (0.623)	Data 0.016 (0.003)	Loss 1.6862 (1.7232)	Prec@1 58.000 (54.057)	Prec@5 82.000 (83.184)
Epoch: [67][8980/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6890 (1.7232)	Prec@1 54.500 (54.057)	Prec@5 82.000 (83.184)
Epoch: [67][8990/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.6519 (1.7232)	Prec@1 55.000 (54.056)	Prec@5 86.500 (83.184)
Epoch: [67][9000/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.5069 (1.7232)	Prec@1 57.500 (54.057)	Prec@5 85.500 (83.183)
Epoch: [67][9010/9018]	Time 0.606 (0.623)	Data 0.000 (0.003)	Loss 1.6655 (1.7232)	Prec@1 52.500 (54.057)	Prec@5 85.500 (83.184)
Test: [0/183]	Time 1.514 (1.514)	Loss 2.4121 (2.4121)	Prec@1 37.500 (37.500)	Prec@5 71.000 (71.000)
Test: [10/183]	Time 0.196 (0.325)	Loss 1.5482 (1.6148)	Prec@1 62.000 (57.136)	Prec@5 84.500 (85.909)
Test: [20/183]	Time 0.205 (0.273)	Loss 1.9504 (1.5772)	Prec@1 47.000 (57.762)	Prec@5 82.000 (86.214)
Test: [30/183]	Time 0.266 (0.254)	Loss 2.1975 (1.5931)	Prec@1 33.500 (56.629)	Prec@5 78.000 (86.242)
Test: [40/183]	Time 0.204 (0.241)	Loss 2.2086 (1.5942)	Prec@1 40.500 (57.061)	Prec@5 79.000 (85.829)
Test: [50/183]	Time 0.233 (0.237)	Loss 1.3184 (1.5652)	Prec@1 62.500 (57.833)	Prec@5 90.000 (86.157)
Test: [60/183]	Time 0.210 (0.233)	Loss 2.0440 (1.6321)	Prec@1 45.500 (55.746)	Prec@5 77.500 (85.352)
Test: [70/183]	Time 0.204 (0.230)	Loss 1.7066 (1.6212)	Prec@1 47.500 (55.613)	Prec@5 87.000 (85.754)
Test: [80/183]	Time 0.280 (0.228)	Loss 1.3972 (1.6100)	Prec@1 55.500 (55.642)	Prec@5 93.000 (85.889)
Test: [90/183]	Time 0.193 (0.225)	Loss 2.1333 (1.6049)	Prec@1 44.500 (55.852)	Prec@5 75.500 (85.978)
Test: [100/183]	Time 0.211 (0.224)	Loss 0.6809 (1.6036)	Prec@1 79.000 (55.861)	Prec@5 96.000 (85.955)
Test: [110/183]	Time 0.189 (0.222)	Loss 0.6293 (1.6059)	Prec@1 84.500 (55.847)	Prec@5 96.500 (85.928)
Test: [120/183]	Time 0.215 (0.222)	Loss 2.0693 (1.6167)	Prec@1 42.500 (55.455)	Prec@5 74.500 (85.802)
Test: [130/183]	Time 0.316 (0.221)	Loss 2.7406 (1.6264)	Prec@1 23.500 (55.168)	Prec@5 76.000 (85.863)
Test: [140/183]	Time 0.200 (0.220)	Loss 1.4742 (1.6168)	Prec@1 62.000 (55.447)	Prec@5 87.500 (85.986)
Test: [150/183]	Time 0.210 (0.220)	Loss 0.5952 (1.6139)	Prec@1 85.500 (55.606)	Prec@5 98.500 (86.040)
Test: [160/183]	Time 0.197 (0.219)	Loss 1.5283 (1.6105)	Prec@1 56.500 (55.845)	Prec@5 85.500 (86.053)
Test: [170/183]	Time 0.203 (0.218)	Loss 2.0916 (1.6256)	Prec@1 35.000 (55.427)	Prec@5 84.500 (85.874)
Test: [180/183]	Time 0.254 (0.217)	Loss 1.8221 (1.6318)	Prec@1 50.000 (55.340)	Prec@5 84.500 (85.765)
 * Prec@1 55.359 Prec@5 85.737
Epoch: [68][0/9018]	Time 3.258 (3.258)	Data 2.591 (2.591)	Loss 1.8687 (1.8687)	Prec@1 53.500 (53.500)	Prec@5 82.000 (82.000)
Epoch: [68][10/9018]	Time 0.606 (0.854)	Data 0.001 (0.239)	Loss 1.6577 (1.7398)	Prec@1 54.500 (53.818)	Prec@5 85.000 (83.227)
Epoch: [68][20/9018]	Time 0.594 (0.746)	Data 0.002 (0.126)	Loss 1.5669 (1.6965)	Prec@1 61.500 (54.667)	Prec@5 86.500 (83.905)
Epoch: [68][30/9018]	Time 0.600 (0.706)	Data 0.017 (0.087)	Loss 1.5405 (1.6927)	Prec@1 58.000 (54.645)	Prec@5 87.000 (83.839)
Epoch: [68][40/9018]	Time 0.602 (0.682)	Data 0.001 (0.066)	Loss 1.7939 (1.6816)	Prec@1 52.500 (54.939)	Prec@5 83.000 (84.110)
Epoch: [68][50/9018]	Time 0.618 (0.671)	Data 0.001 (0.053)	Loss 1.6844 (1.6985)	Prec@1 55.500 (54.265)	Prec@5 84.500 (83.922)
Epoch: [68][60/9018]	Time 0.615 (0.663)	Data 0.016 (0.045)	Loss 1.6162 (1.6882)	Prec@1 54.500 (54.451)	Prec@5 83.500 (84.074)
Epoch: [68][70/9018]	Time 0.613 (0.658)	Data 0.001 (0.039)	Loss 1.5154 (1.6980)	Prec@1 60.000 (54.246)	Prec@5 85.500 (83.894)
Epoch: [68][80/9018]	Time 0.611 (0.655)	Data 0.015 (0.035)	Loss 1.8393 (1.7021)	Prec@1 51.500 (54.247)	Prec@5 81.000 (83.796)
Epoch: [68][90/9018]	Time 0.602 (0.650)	Data 0.001 (0.031)	Loss 1.5779 (1.6958)	Prec@1 58.500 (54.456)	Prec@5 87.000 (83.830)
Epoch: [68][100/9018]	Time 0.616 (0.650)	Data 0.001 (0.029)	Loss 1.7553 (1.7000)	Prec@1 54.000 (54.465)	Prec@5 81.000 (83.787)
Epoch: [68][110/9018]	Time 0.636 (0.647)	Data 0.015 (0.026)	Loss 1.4100 (1.6988)	Prec@1 59.000 (54.468)	Prec@5 86.500 (83.694)
Epoch: [68][120/9018]	Time 0.598 (0.644)	Data 0.001 (0.024)	Loss 1.7626 (1.6991)	Prec@1 51.500 (54.450)	Prec@5 85.000 (83.669)
Epoch: [68][130/9018]	Time 0.621 (0.643)	Data 0.001 (0.023)	Loss 1.6713 (1.7031)	Prec@1 57.500 (54.332)	Prec@5 82.500 (83.615)
Epoch: [68][140/9018]	Time 0.617 (0.641)	Data 0.001 (0.021)	Loss 1.8876 (1.7061)	Prec@1 50.500 (54.245)	Prec@5 81.000 (83.564)
Epoch: [68][150/9018]	Time 0.605 (0.641)	Data 0.001 (0.020)	Loss 1.8629 (1.7066)	Prec@1 52.000 (54.262)	Prec@5 81.000 (83.583)
Epoch: [68][160/9018]	Time 0.589 (0.639)	Data 0.001 (0.019)	Loss 1.5366 (1.7048)	Prec@1 58.000 (54.264)	Prec@5 85.500 (83.596)
Epoch: [68][170/9018]	Time 0.616 (0.639)	Data 0.001 (0.018)	Loss 1.7623 (1.7089)	Prec@1 50.000 (54.170)	Prec@5 85.500 (83.529)
Epoch: [68][180/9018]	Time 0.603 (0.638)	Data 0.001 (0.017)	Loss 1.6308 (1.7053)	Prec@1 56.500 (54.210)	Prec@5 86.000 (83.597)
Epoch: [68][190/9018]	Time 0.658 (0.637)	Data 0.015 (0.016)	Loss 1.8384 (1.7100)	Prec@1 47.000 (54.073)	Prec@5 80.000 (83.495)
Epoch: [68][200/9018]	Time 0.623 (0.637)	Data 0.001 (0.016)	Loss 1.5648 (1.7072)	Prec@1 60.500 (54.187)	Prec@5 84.500 (83.532)
Epoch: [68][210/9018]	Time 0.633 (0.636)	Data 0.001 (0.015)	Loss 1.7481 (1.7059)	Prec@1 48.500 (54.204)	Prec@5 83.500 (83.555)
Epoch: [68][220/9018]	Time 0.628 (0.636)	Data 0.001 (0.015)	Loss 1.8138 (1.7067)	Prec@1 49.500 (54.188)	Prec@5 84.500 (83.552)
Epoch: [68][230/9018]	Time 0.652 (0.636)	Data 0.001 (0.014)	Loss 1.5652 (1.7053)	Prec@1 55.500 (54.210)	Prec@5 86.000 (83.565)
Epoch: [68][240/9018]	Time 0.599 (0.635)	Data 0.015 (0.014)	Loss 1.5689 (1.7040)	Prec@1 58.000 (54.218)	Prec@5 88.000 (83.591)
Epoch: [68][250/9018]	Time 0.618 (0.635)	Data 0.015 (0.013)	Loss 1.7847 (1.7048)	Prec@1 55.000 (54.245)	Prec@5 83.500 (83.578)
Epoch: [68][260/9018]	Time 0.807 (0.635)	Data 0.001 (0.013)	Loss 1.8010 (1.7047)	Prec@1 53.000 (54.272)	Prec@5 81.500 (83.590)
Epoch: [68][270/9018]	Time 0.620 (0.634)	Data 0.016 (0.013)	Loss 1.7081 (1.7056)	Prec@1 55.500 (54.221)	Prec@5 81.500 (83.577)
Epoch: [68][280/9018]	Time 0.600 (0.635)	Data 0.017 (0.012)	Loss 1.7685 (1.7067)	Prec@1 54.500 (54.231)	Prec@5 81.000 (83.552)
Epoch: [68][290/9018]	Time 0.597 (0.634)	Data 0.001 (0.012)	Loss 1.7596 (1.7056)	Prec@1 52.000 (54.261)	Prec@5 84.000 (83.546)
Epoch: [68][300/9018]	Time 0.600 (0.634)	Data 0.008 (0.012)	Loss 1.6643 (1.7058)	Prec@1 56.500 (54.271)	Prec@5 86.500 (83.555)
Epoch: [68][310/9018]	Time 0.731 (0.633)	Data 0.001 (0.011)	Loss 1.6945 (1.7065)	Prec@1 53.000 (54.288)	Prec@5 84.000 (83.540)
Epoch: [68][320/9018]	Time 0.601 (0.632)	Data 0.001 (0.011)	Loss 1.7057 (1.7055)	Prec@1 54.000 (54.301)	Prec@5 86.000 (83.565)
Epoch: [68][330/9018]	Time 0.620 (0.632)	Data 0.013 (0.011)	Loss 1.7434 (1.7035)	Prec@1 54.500 (54.363)	Prec@5 83.000 (83.601)
Epoch: [68][340/9018]	Time 0.631 (0.632)	Data 0.001 (0.011)	Loss 1.6787 (1.7025)	Prec@1 59.500 (54.418)	Prec@5 82.000 (83.585)
Epoch: [68][350/9018]	Time 0.626 (0.632)	Data 0.001 (0.011)	Loss 1.7953 (1.7034)	Prec@1 52.000 (54.386)	Prec@5 82.500 (83.578)
Epoch: [68][360/9018]	Time 0.606 (0.632)	Data 0.001 (0.010)	Loss 1.7398 (1.7046)	Prec@1 52.000 (54.342)	Prec@5 83.000 (83.561)
Epoch: [68][370/9018]	Time 0.643 (0.632)	Data 0.001 (0.010)	Loss 1.6448 (1.7058)	Prec@1 59.000 (54.295)	Prec@5 81.000 (83.524)
Epoch: [68][380/9018]	Time 0.649 (0.632)	Data 0.001 (0.010)	Loss 1.6269 (1.7054)	Prec@1 56.500 (54.304)	Prec@5 83.500 (83.521)
Epoch: [68][390/9018]	Time 0.669 (0.632)	Data 0.001 (0.010)	Loss 1.6310 (1.7051)	Prec@1 55.500 (54.284)	Prec@5 87.000 (83.560)
Epoch: [68][400/9018]	Time 0.646 (0.632)	Data 0.001 (0.010)	Loss 1.8030 (1.7048)	Prec@1 54.000 (54.327)	Prec@5 84.500 (83.569)
Epoch: [68][410/9018]	Time 0.610 (0.632)	Data 0.001 (0.009)	Loss 1.6998 (1.7047)	Prec@1 53.500 (54.324)	Prec@5 84.500 (83.594)
Epoch: [68][420/9018]	Time 0.623 (0.632)	Data 0.014 (0.009)	Loss 1.3157 (1.7030)	Prec@1 65.000 (54.357)	Prec@5 88.000 (83.610)
Epoch: [68][430/9018]	Time 0.606 (0.631)	Data 0.001 (0.009)	Loss 1.4925 (1.7010)	Prec@1 63.500 (54.419)	Prec@5 86.500 (83.639)
Epoch: [68][440/9018]	Time 0.601 (0.631)	Data 0.014 (0.009)	Loss 1.4363 (1.7006)	Prec@1 58.000 (54.429)	Prec@5 89.500 (83.656)
Epoch: [68][450/9018]	Time 0.593 (0.631)	Data 0.001 (0.009)	Loss 1.9738 (1.7016)	Prec@1 51.000 (54.431)	Prec@5 77.500 (83.629)
Epoch: [68][460/9018]	Time 0.636 (0.631)	Data 0.009 (0.009)	Loss 1.8014 (1.7025)	Prec@1 46.500 (54.400)	Prec@5 79.500 (83.589)
Epoch: [68][470/9018]	Time 0.596 (0.631)	Data 0.001 (0.009)	Loss 1.5867 (1.7019)	Prec@1 57.500 (54.426)	Prec@5 86.500 (83.584)
Epoch: [68][480/9018]	Time 0.609 (0.631)	Data 0.001 (0.008)	Loss 1.7646 (1.7023)	Prec@1 56.000 (54.445)	Prec@5 80.500 (83.568)
Epoch: [68][490/9018]	Time 0.614 (0.630)	Data 0.001 (0.008)	Loss 1.8307 (1.7022)	Prec@1 53.000 (54.459)	Prec@5 81.500 (83.584)
Epoch: [68][500/9018]	Time 0.599 (0.630)	Data 0.001 (0.008)	Loss 1.6788 (1.7032)	Prec@1 56.000 (54.441)	Prec@5 84.500 (83.559)
Epoch: [68][510/9018]	Time 0.620 (0.630)	Data 0.001 (0.008)	Loss 1.6293 (1.7033)	Prec@1 60.000 (54.447)	Prec@5 83.500 (83.561)
Epoch: [68][520/9018]	Time 0.614 (0.630)	Data 0.001 (0.008)	Loss 1.6614 (1.7038)	Prec@1 55.000 (54.424)	Prec@5 85.000 (83.555)
Epoch: [68][530/9018]	Time 0.600 (0.630)	Data 0.001 (0.008)	Loss 1.7730 (1.7042)	Prec@1 52.000 (54.396)	Prec@5 83.000 (83.556)
Epoch: [68][540/9018]	Time 0.603 (0.630)	Data 0.001 (0.008)	Loss 2.0030 (1.7050)	Prec@1 48.000 (54.362)	Prec@5 83.500 (83.561)
Epoch: [68][550/9018]	Time 0.618 (0.630)	Data 0.001 (0.008)	Loss 1.8025 (1.7051)	Prec@1 51.000 (54.354)	Prec@5 82.500 (83.566)
Epoch: [68][560/9018]	Time 0.616 (0.630)	Data 0.009 (0.008)	Loss 1.7334 (1.7048)	Prec@1 51.500 (54.368)	Prec@5 83.000 (83.569)
Epoch: [68][570/9018]	Time 0.601 (0.630)	Data 0.001 (0.008)	Loss 1.7019 (1.7048)	Prec@1 52.000 (54.364)	Prec@5 84.000 (83.559)
Epoch: [68][580/9018]	Time 0.615 (0.630)	Data 0.001 (0.008)	Loss 1.6477 (1.7040)	Prec@1 52.500 (54.386)	Prec@5 86.000 (83.590)
Epoch: [68][590/9018]	Time 0.768 (0.630)	Data 0.016 (0.008)	Loss 1.6573 (1.7038)	Prec@1 58.500 (54.398)	Prec@5 83.000 (83.586)
Epoch: [68][600/9018]	Time 0.603 (0.629)	Data 0.001 (0.007)	Loss 1.5431 (1.7042)	Prec@1 56.500 (54.389)	Prec@5 84.000 (83.572)
Epoch: [68][610/9018]	Time 0.612 (0.629)	Data 0.001 (0.007)	Loss 1.9961 (1.7053)	Prec@1 50.500 (54.362)	Prec@5 79.500 (83.574)
Epoch: [68][620/9018]	Time 0.599 (0.629)	Data 0.014 (0.007)	Loss 1.7727 (1.7054)	Prec@1 55.500 (54.395)	Prec@5 79.000 (83.564)
Epoch: [68][630/9018]	Time 0.597 (0.629)	Data 0.001 (0.007)	Loss 1.6092 (1.7056)	Prec@1 55.500 (54.379)	Prec@5 87.000 (83.570)
Epoch: [68][640/9018]	Time 0.746 (0.629)	Data 0.001 (0.007)	Loss 1.6673 (1.7062)	Prec@1 57.000 (54.378)	Prec@5 82.000 (83.555)
Epoch: [68][650/9018]	Time 0.610 (0.629)	Data 0.001 (0.007)	Loss 1.7146 (1.7062)	Prec@1 55.000 (54.386)	Prec@5 81.000 (83.558)
Epoch: [68][660/9018]	Time 0.616 (0.629)	Data 0.001 (0.007)	Loss 1.5434 (1.7062)	Prec@1 59.000 (54.393)	Prec@5 86.000 (83.561)
Epoch: [68][670/9018]	Time 0.619 (0.629)	Data 0.014 (0.007)	Loss 1.6165 (1.7057)	Prec@1 57.000 (54.405)	Prec@5 84.000 (83.566)
Epoch: [68][680/9018]	Time 0.653 (0.629)	Data 0.001 (0.007)	Loss 1.8499 (1.7061)	Prec@1 52.500 (54.398)	Prec@5 80.000 (83.554)
Epoch: [68][690/9018]	Time 0.604 (0.629)	Data 0.001 (0.007)	Loss 1.8433 (1.7062)	Prec@1 54.500 (54.386)	Prec@5 79.500 (83.533)
Epoch: [68][700/9018]	Time 0.618 (0.629)	Data 0.016 (0.007)	Loss 1.9795 (1.7066)	Prec@1 50.000 (54.386)	Prec@5 80.000 (83.520)
Epoch: [68][710/9018]	Time 0.628 (0.629)	Data 0.017 (0.007)	Loss 1.6939 (1.7065)	Prec@1 55.000 (54.395)	Prec@5 83.500 (83.517)
Epoch: [68][720/9018]	Time 0.617 (0.629)	Data 0.017 (0.007)	Loss 1.5915 (1.7067)	Prec@1 58.000 (54.398)	Prec@5 84.000 (83.510)
Epoch: [68][730/9018]	Time 0.599 (0.629)	Data 0.001 (0.007)	Loss 1.8840 (1.7062)	Prec@1 50.000 (54.409)	Prec@5 79.500 (83.506)
Epoch: [68][740/9018]	Time 0.621 (0.629)	Data 0.001 (0.007)	Loss 1.8441 (1.7065)	Prec@1 50.000 (54.394)	Prec@5 77.500 (83.497)
Epoch: [68][750/9018]	Time 0.611 (0.629)	Data 0.001 (0.007)	Loss 1.7365 (1.7064)	Prec@1 55.500 (54.406)	Prec@5 83.000 (83.499)
Epoch: [68][760/9018]	Time 0.614 (0.629)	Data 0.001 (0.007)	Loss 1.7759 (1.7059)	Prec@1 51.500 (54.434)	Prec@5 84.000 (83.519)
Epoch: [68][770/9018]	Time 0.625 (0.628)	Data 0.015 (0.007)	Loss 1.7246 (1.7058)	Prec@1 54.500 (54.427)	Prec@5 82.000 (83.527)
Epoch: [68][780/9018]	Time 0.639 (0.628)	Data 0.016 (0.007)	Loss 1.5038 (1.7055)	Prec@1 59.000 (54.433)	Prec@5 85.500 (83.526)
Epoch: [68][790/9018]	Time 0.638 (0.628)	Data 0.001 (0.007)	Loss 1.6118 (1.7058)	Prec@1 56.500 (54.432)	Prec@5 82.500 (83.511)
Epoch: [68][800/9018]	Time 0.618 (0.628)	Data 0.001 (0.007)	Loss 1.6789 (1.7056)	Prec@1 52.500 (54.422)	Prec@5 86.500 (83.519)
Epoch: [68][810/9018]	Time 0.601 (0.628)	Data 0.009 (0.006)	Loss 1.7219 (1.7055)	Prec@1 51.500 (54.440)	Prec@5 81.000 (83.524)
Epoch: [68][820/9018]	Time 0.600 (0.628)	Data 0.001 (0.006)	Loss 1.7563 (1.7058)	Prec@1 51.000 (54.434)	Prec@5 82.500 (83.515)
Epoch: [68][830/9018]	Time 0.594 (0.628)	Data 0.001 (0.006)	Loss 1.6438 (1.7061)	Prec@1 56.500 (54.416)	Prec@5 82.500 (83.502)
Epoch: [68][840/9018]	Time 0.592 (0.628)	Data 0.001 (0.006)	Loss 1.7217 (1.7058)	Prec@1 55.500 (54.416)	Prec@5 83.000 (83.507)
Epoch: [68][850/9018]	Time 0.594 (0.628)	Data 0.001 (0.006)	Loss 1.8837 (1.7060)	Prec@1 47.000 (54.407)	Prec@5 83.500 (83.502)
Epoch: [68][860/9018]	Time 0.620 (0.628)	Data 0.001 (0.006)	Loss 1.7408 (1.7069)	Prec@1 55.500 (54.394)	Prec@5 83.000 (83.481)
Epoch: [68][870/9018]	Time 0.613 (0.628)	Data 0.001 (0.006)	Loss 1.6502 (1.7067)	Prec@1 53.500 (54.394)	Prec@5 82.500 (83.482)
Epoch: [68][880/9018]	Time 0.606 (0.628)	Data 0.013 (0.006)	Loss 1.7026 (1.7065)	Prec@1 51.000 (54.380)	Prec@5 83.000 (83.489)
Epoch: [68][890/9018]	Time 0.605 (0.628)	Data 0.001 (0.006)	Loss 1.6976 (1.7063)	Prec@1 52.000 (54.379)	Prec@5 84.000 (83.494)
Epoch: [68][900/9018]	Time 0.608 (0.628)	Data 0.001 (0.006)	Loss 1.8180 (1.7061)	Prec@1 54.000 (54.374)	Prec@5 82.000 (83.499)
Epoch: [68][910/9018]	Time 0.620 (0.628)	Data 0.001 (0.006)	Loss 1.8793 (1.7059)	Prec@1 49.500 (54.384)	Prec@5 80.500 (83.506)
Epoch: [68][920/9018]	Time 0.748 (0.628)	Data 0.001 (0.006)	Loss 1.6829 (1.7062)	Prec@1 53.500 (54.378)	Prec@5 86.000 (83.498)
Epoch: [68][930/9018]	Time 0.623 (0.628)	Data 0.001 (0.006)	Loss 1.4956 (1.7068)	Prec@1 58.000 (54.360)	Prec@5 88.000 (83.489)
Epoch: [68][940/9018]	Time 0.638 (0.628)	Data 0.001 (0.006)	Loss 1.5164 (1.7071)	Prec@1 59.500 (54.356)	Prec@5 86.500 (83.484)
Epoch: [68][950/9018]	Time 0.627 (0.628)	Data 0.001 (0.006)	Loss 1.7287 (1.7073)	Prec@1 50.000 (54.346)	Prec@5 86.500 (83.482)
Epoch: [68][960/9018]	Time 0.609 (0.628)	Data 0.016 (0.006)	Loss 1.6845 (1.7073)	Prec@1 55.500 (54.356)	Prec@5 85.500 (83.489)
Epoch: [68][970/9018]	Time 0.762 (0.628)	Data 0.001 (0.006)	Loss 1.6167 (1.7071)	Prec@1 55.000 (54.351)	Prec@5 86.000 (83.495)
Epoch: [68][980/9018]	Time 0.598 (0.628)	Data 0.007 (0.006)	Loss 1.6773 (1.7067)	Prec@1 52.000 (54.351)	Prec@5 82.000 (83.502)
Epoch: [68][990/9018]	Time 0.639 (0.628)	Data 0.001 (0.006)	Loss 1.7218 (1.7065)	Prec@1 49.500 (54.350)	Prec@5 84.000 (83.502)
Epoch: [68][1000/9018]	Time 0.601 (0.628)	Data 0.001 (0.006)	Loss 1.6295 (1.7060)	Prec@1 56.500 (54.370)	Prec@5 84.000 (83.514)
Epoch: [68][1010/9018]	Time 0.606 (0.628)	Data 0.004 (0.006)	Loss 1.8478 (1.7066)	Prec@1 49.000 (54.359)	Prec@5 81.500 (83.512)
Epoch: [68][1020/9018]	Time 0.641 (0.628)	Data 0.001 (0.006)	Loss 1.8239 (1.7071)	Prec@1 51.500 (54.353)	Prec@5 80.000 (83.507)
Epoch: [68][1030/9018]	Time 0.609 (0.628)	Data 0.001 (0.006)	Loss 1.8688 (1.7073)	Prec@1 53.500 (54.355)	Prec@5 81.000 (83.498)
Epoch: [68][1040/9018]	Time 0.629 (0.628)	Data 0.001 (0.006)	Loss 1.7226 (1.7072)	Prec@1 57.000 (54.364)	Prec@5 80.500 (83.493)
Epoch: [68][1050/9018]	Time 0.627 (0.628)	Data 0.015 (0.006)	Loss 1.5513 (1.7070)	Prec@1 57.000 (54.365)	Prec@5 87.000 (83.493)
Epoch: [68][1060/9018]	Time 0.617 (0.628)	Data 0.001 (0.006)	Loss 1.7117 (1.7069)	Prec@1 56.000 (54.381)	Prec@5 82.000 (83.494)
Epoch: [68][1070/9018]	Time 0.634 (0.628)	Data 0.001 (0.006)	Loss 1.5704 (1.7067)	Prec@1 58.500 (54.378)	Prec@5 84.000 (83.493)
Epoch: [68][1080/9018]	Time 0.612 (0.628)	Data 0.001 (0.006)	Loss 1.5294 (1.7061)	Prec@1 57.000 (54.395)	Prec@5 85.000 (83.507)
Epoch: [68][1090/9018]	Time 0.602 (0.628)	Data 0.001 (0.006)	Loss 1.6553 (1.7068)	Prec@1 57.500 (54.395)	Prec@5 83.000 (83.494)
Epoch: [68][1100/9018]	Time 0.591 (0.628)	Data 0.001 (0.006)	Loss 1.5931 (1.7068)	Prec@1 56.000 (54.396)	Prec@5 86.500 (83.491)
Epoch: [68][1110/9018]	Time 0.595 (0.627)	Data 0.001 (0.006)	Loss 1.8076 (1.7067)	Prec@1 52.000 (54.400)	Prec@5 81.500 (83.495)
Epoch: [68][1120/9018]	Time 0.633 (0.628)	Data 0.001 (0.006)	Loss 1.7708 (1.7067)	Prec@1 54.000 (54.404)	Prec@5 80.500 (83.499)
Epoch: [68][1130/9018]	Time 0.630 (0.627)	Data 0.001 (0.005)	Loss 1.5660 (1.7073)	Prec@1 55.500 (54.397)	Prec@5 85.000 (83.493)
Epoch: [68][1140/9018]	Time 0.621 (0.628)	Data 0.005 (0.005)	Loss 1.6299 (1.7080)	Prec@1 56.000 (54.384)	Prec@5 85.000 (83.482)
Epoch: [68][1150/9018]	Time 0.645 (0.627)	Data 0.001 (0.005)	Loss 1.6972 (1.7082)	Prec@1 56.500 (54.380)	Prec@5 83.500 (83.483)
Epoch: [68][1160/9018]	Time 0.627 (0.628)	Data 0.001 (0.005)	Loss 1.5658 (1.7075)	Prec@1 54.500 (54.398)	Prec@5 84.500 (83.486)
Epoch: [68][1170/9018]	Time 0.626 (0.628)	Data 0.014 (0.005)	Loss 1.8976 (1.7077)	Prec@1 50.500 (54.390)	Prec@5 81.500 (83.482)
Epoch: [68][1180/9018]	Time 0.594 (0.627)	Data 0.001 (0.005)	Loss 1.6731 (1.7079)	Prec@1 53.500 (54.386)	Prec@5 84.000 (83.481)
Epoch: [68][1190/9018]	Time 0.620 (0.627)	Data 0.001 (0.005)	Loss 1.9670 (1.7082)	Prec@1 46.000 (54.375)	Prec@5 78.000 (83.473)
Epoch: [68][1200/9018]	Time 0.628 (0.627)	Data 0.001 (0.005)	Loss 1.7640 (1.7080)	Prec@1 56.000 (54.371)	Prec@5 81.500 (83.478)
Epoch: [68][1210/9018]	Time 0.605 (0.627)	Data 0.001 (0.005)	Loss 1.6753 (1.7083)	Prec@1 54.500 (54.370)	Prec@5 82.500 (83.475)
Epoch: [68][1220/9018]	Time 0.619 (0.627)	Data 0.001 (0.005)	Loss 1.6668 (1.7084)	Prec@1 57.500 (54.377)	Prec@5 82.000 (83.471)
Epoch: [68][1230/9018]	Time 0.607 (0.627)	Data 0.001 (0.005)	Loss 1.7037 (1.7081)	Prec@1 54.500 (54.379)	Prec@5 82.000 (83.466)
Epoch: [68][1240/9018]	Time 0.639 (0.627)	Data 0.001 (0.005)	Loss 1.7791 (1.7080)	Prec@1 55.500 (54.380)	Prec@5 83.000 (83.471)
Epoch: [68][1250/9018]	Time 0.746 (0.627)	Data 0.017 (0.005)	Loss 1.7221 (1.7079)	Prec@1 54.000 (54.382)	Prec@5 84.000 (83.474)
Epoch: [68][1260/9018]	Time 0.626 (0.627)	Data 0.017 (0.005)	Loss 1.7846 (1.7081)	Prec@1 46.000 (54.370)	Prec@5 83.500 (83.471)
Epoch: [68][1270/9018]	Time 0.614 (0.627)	Data 0.001 (0.005)	Loss 1.6202 (1.7073)	Prec@1 57.000 (54.392)	Prec@5 85.500 (83.478)
Epoch: [68][1280/9018]	Time 0.598 (0.627)	Data 0.001 (0.005)	Loss 1.7303 (1.7072)	Prec@1 55.000 (54.388)	Prec@5 83.500 (83.477)
Epoch: [68][1290/9018]	Time 0.600 (0.627)	Data 0.001 (0.005)	Loss 1.6582 (1.7068)	Prec@1 53.500 (54.384)	Prec@5 85.000 (83.480)
Epoch: [68][1300/9018]	Time 0.741 (0.627)	Data 0.014 (0.005)	Loss 1.5609 (1.7071)	Prec@1 63.500 (54.380)	Prec@5 85.500 (83.472)
Epoch: [68][1310/9018]	Time 0.629 (0.627)	Data 0.001 (0.005)	Loss 1.6393 (1.7072)	Prec@1 54.000 (54.371)	Prec@5 86.500 (83.469)
Epoch: [68][1320/9018]	Time 0.608 (0.627)	Data 0.001 (0.005)	Loss 1.8122 (1.7075)	Prec@1 56.500 (54.367)	Prec@5 81.500 (83.464)
Epoch: [68][1330/9018]	Time 0.616 (0.627)	Data 0.016 (0.005)	Loss 1.8634 (1.7078)	Prec@1 46.500 (54.358)	Prec@5 84.000 (83.457)
Epoch: [68][1340/9018]	Time 0.615 (0.627)	Data 0.001 (0.005)	Loss 1.7282 (1.7079)	Prec@1 57.500 (54.357)	Prec@5 83.500 (83.455)
Epoch: [68][1350/9018]	Time 0.609 (0.627)	Data 0.001 (0.005)	Loss 1.6421 (1.7078)	Prec@1 52.000 (54.354)	Prec@5 84.000 (83.463)
Epoch: [68][1360/9018]	Time 0.607 (0.627)	Data 0.017 (0.005)	Loss 1.8015 (1.7080)	Prec@1 53.500 (54.356)	Prec@5 82.500 (83.456)
Epoch: [68][1370/9018]	Time 0.631 (0.627)	Data 0.002 (0.005)	Loss 1.6826 (1.7079)	Prec@1 59.500 (54.358)	Prec@5 82.500 (83.460)
Epoch: [68][1380/9018]	Time 0.621 (0.627)	Data 0.001 (0.005)	Loss 1.4128 (1.7082)	Prec@1 58.000 (54.349)	Prec@5 86.500 (83.451)
Epoch: [68][1390/9018]	Time 0.612 (0.627)	Data 0.001 (0.005)	Loss 1.7423 (1.7082)	Prec@1 55.500 (54.348)	Prec@5 84.000 (83.453)
Epoch: [68][1400/9018]	Time 0.602 (0.627)	Data 0.001 (0.005)	Loss 1.8556 (1.7079)	Prec@1 52.000 (54.358)	Prec@5 81.500 (83.459)
Epoch: [68][1410/9018]	Time 0.595 (0.627)	Data 0.001 (0.005)	Loss 1.6579 (1.7078)	Prec@1 55.000 (54.360)	Prec@5 85.500 (83.463)
Epoch: [68][1420/9018]	Time 0.597 (0.627)	Data 0.001 (0.005)	Loss 1.8370 (1.7077)	Prec@1 50.000 (54.363)	Prec@5 85.000 (83.467)
Epoch: [68][1430/9018]	Time 0.653 (0.627)	Data 0.001 (0.005)	Loss 1.6936 (1.7073)	Prec@1 53.500 (54.365)	Prec@5 82.500 (83.474)
Epoch: [68][1440/9018]	Time 0.597 (0.627)	Data 0.012 (0.005)	Loss 1.7253 (1.7076)	Prec@1 53.000 (54.358)	Prec@5 83.000 (83.470)
Epoch: [68][1450/9018]	Time 0.609 (0.627)	Data 0.001 (0.005)	Loss 1.6387 (1.7074)	Prec@1 56.500 (54.361)	Prec@5 83.000 (83.476)
Epoch: [68][1460/9018]	Time 0.636 (0.627)	Data 0.001 (0.005)	Loss 1.6476 (1.7075)	Prec@1 57.000 (54.362)	Prec@5 86.000 (83.473)
Epoch: [68][1470/9018]	Time 0.611 (0.627)	Data 0.001 (0.005)	Loss 1.8789 (1.7079)	Prec@1 54.000 (54.351)	Prec@5 78.500 (83.463)
Epoch: [68][1480/9018]	Time 0.597 (0.627)	Data 0.001 (0.005)	Loss 1.5312 (1.7081)	Prec@1 62.000 (54.347)	Prec@5 86.000 (83.466)
Epoch: [68][1490/9018]	Time 0.630 (0.627)	Data 0.001 (0.005)	Loss 1.8124 (1.7084)	Prec@1 52.000 (54.334)	Prec@5 81.500 (83.461)
Epoch: [68][1500/9018]	Time 0.628 (0.627)	Data 0.014 (0.005)	Loss 1.6935 (1.7085)	Prec@1 52.500 (54.334)	Prec@5 85.000 (83.460)
Epoch: [68][1510/9018]	Time 0.619 (0.627)	Data 0.004 (0.005)	Loss 1.7815 (1.7089)	Prec@1 56.000 (54.331)	Prec@5 84.000 (83.458)
Epoch: [68][1520/9018]	Time 0.615 (0.627)	Data 0.001 (0.005)	Loss 1.8736 (1.7092)	Prec@1 53.000 (54.334)	Prec@5 82.500 (83.455)
Epoch: [68][1530/9018]	Time 0.636 (0.627)	Data 0.001 (0.005)	Loss 1.5768 (1.7089)	Prec@1 55.000 (54.343)	Prec@5 84.500 (83.463)
Epoch: [68][1540/9018]	Time 0.602 (0.627)	Data 0.001 (0.005)	Loss 1.6756 (1.7086)	Prec@1 54.000 (54.354)	Prec@5 84.500 (83.463)
Epoch: [68][1550/9018]	Time 0.627 (0.627)	Data 0.015 (0.005)	Loss 1.5737 (1.7089)	Prec@1 58.000 (54.350)	Prec@5 83.000 (83.457)
Epoch: [68][1560/9018]	Time 0.613 (0.626)	Data 0.001 (0.005)	Loss 1.8232 (1.7091)	Prec@1 52.000 (54.345)	Prec@5 82.500 (83.460)
Epoch: [68][1570/9018]	Time 0.597 (0.626)	Data 0.001 (0.005)	Loss 1.6257 (1.7087)	Prec@1 52.500 (54.351)	Prec@5 86.500 (83.469)
Epoch: [68][1580/9018]	Time 0.772 (0.626)	Data 0.001 (0.005)	Loss 1.7483 (1.7085)	Prec@1 50.500 (54.351)	Prec@5 84.500 (83.476)
Epoch: [68][1590/9018]	Time 0.594 (0.626)	Data 0.001 (0.005)	Loss 1.7568 (1.7083)	Prec@1 56.000 (54.357)	Prec@5 83.500 (83.475)
Epoch: [68][1600/9018]	Time 0.614 (0.626)	Data 0.001 (0.005)	Loss 1.6955 (1.7088)	Prec@1 57.000 (54.337)	Prec@5 83.500 (83.472)
Epoch: [68][1610/9018]	Time 0.616 (0.626)	Data 0.001 (0.005)	Loss 1.8862 (1.7080)	Prec@1 51.500 (54.352)	Prec@5 84.000 (83.484)
Epoch: [68][1620/9018]	Time 0.609 (0.626)	Data 0.001 (0.005)	Loss 1.5575 (1.7079)	Prec@1 57.000 (54.352)	Prec@5 86.500 (83.490)
Epoch: [68][1630/9018]	Time 0.762 (0.626)	Data 0.001 (0.005)	Loss 1.6616 (1.7080)	Prec@1 56.500 (54.349)	Prec@5 81.000 (83.491)
Epoch: [68][1640/9018]	Time 0.602 (0.626)	Data 0.001 (0.005)	Loss 1.6045 (1.7082)	Prec@1 54.500 (54.348)	Prec@5 83.000 (83.479)
Epoch: [68][1650/9018]	Time 0.629 (0.626)	Data 0.001 (0.005)	Loss 1.3014 (1.7080)	Prec@1 64.500 (54.353)	Prec@5 89.500 (83.479)
Epoch: [68][1660/9018]	Time 0.620 (0.626)	Data 0.001 (0.005)	Loss 1.8790 (1.7080)	Prec@1 52.000 (54.348)	Prec@5 80.000 (83.480)
Epoch: [68][1670/9018]	Time 0.642 (0.626)	Data 0.001 (0.005)	Loss 1.7589 (1.7078)	Prec@1 53.000 (54.352)	Prec@5 81.000 (83.480)
Epoch: [68][1680/9018]	Time 0.595 (0.626)	Data 0.001 (0.005)	Loss 1.8353 (1.7077)	Prec@1 52.000 (54.356)	Prec@5 81.500 (83.485)
Epoch: [68][1690/9018]	Time 0.627 (0.626)	Data 0.001 (0.005)	Loss 1.6644 (1.7078)	Prec@1 59.500 (54.355)	Prec@5 82.500 (83.483)
Epoch: [68][1700/9018]	Time 0.599 (0.626)	Data 0.001 (0.005)	Loss 1.9036 (1.7082)	Prec@1 48.000 (54.352)	Prec@5 81.500 (83.476)
Epoch: [68][1710/9018]	Time 0.631 (0.626)	Data 0.001 (0.005)	Loss 1.7010 (1.7082)	Prec@1 54.000 (54.354)	Prec@5 81.500 (83.474)
Epoch: [68][1720/9018]	Time 0.641 (0.626)	Data 0.001 (0.005)	Loss 1.7150 (1.7081)	Prec@1 54.500 (54.350)	Prec@5 83.000 (83.480)
Epoch: [68][1730/9018]	Time 0.605 (0.626)	Data 0.001 (0.005)	Loss 1.8735 (1.7083)	Prec@1 54.000 (54.345)	Prec@5 78.500 (83.475)
Epoch: [68][1740/9018]	Time 0.599 (0.626)	Data 0.001 (0.005)	Loss 1.8381 (1.7081)	Prec@1 56.000 (54.350)	Prec@5 78.500 (83.480)
Epoch: [68][1750/9018]	Time 0.601 (0.626)	Data 0.001 (0.005)	Loss 1.7589 (1.7082)	Prec@1 53.500 (54.349)	Prec@5 85.500 (83.483)
Epoch: [68][1760/9018]	Time 0.603 (0.626)	Data 0.001 (0.005)	Loss 1.6459 (1.7083)	Prec@1 54.500 (54.355)	Prec@5 86.000 (83.479)
Epoch: [68][1770/9018]	Time 0.592 (0.626)	Data 0.001 (0.005)	Loss 1.8391 (1.7084)	Prec@1 51.500 (54.358)	Prec@5 77.000 (83.475)
Epoch: [68][1780/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 1.6851 (1.7085)	Prec@1 57.500 (54.356)	Prec@5 82.000 (83.474)
Epoch: [68][1790/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 1.7518 (1.7087)	Prec@1 51.500 (54.357)	Prec@5 87.000 (83.470)
Epoch: [68][1800/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.7148 (1.7083)	Prec@1 49.000 (54.369)	Prec@5 86.000 (83.480)
Epoch: [68][1810/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.6432 (1.7084)	Prec@1 55.500 (54.366)	Prec@5 85.000 (83.482)
Epoch: [68][1820/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 1.9130 (1.7088)	Prec@1 51.000 (54.352)	Prec@5 79.000 (83.474)
Epoch: [68][1830/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.6120 (1.7083)	Prec@1 55.500 (54.360)	Prec@5 85.000 (83.481)
Epoch: [68][1840/9018]	Time 0.591 (0.626)	Data 0.001 (0.004)	Loss 1.5255 (1.7084)	Prec@1 56.500 (54.356)	Prec@5 87.000 (83.484)
Epoch: [68][1850/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.6366 (1.7081)	Prec@1 57.500 (54.364)	Prec@5 85.000 (83.486)
Epoch: [68][1860/9018]	Time 0.619 (0.626)	Data 0.015 (0.004)	Loss 1.8411 (1.7080)	Prec@1 57.000 (54.366)	Prec@5 77.500 (83.485)
Epoch: [68][1870/9018]	Time 0.617 (0.626)	Data 0.002 (0.004)	Loss 1.6935 (1.7083)	Prec@1 52.500 (54.359)	Prec@5 86.500 (83.485)
Epoch: [68][1880/9018]	Time 0.643 (0.626)	Data 0.001 (0.004)	Loss 1.8231 (1.7080)	Prec@1 46.000 (54.360)	Prec@5 83.000 (83.494)
Epoch: [68][1890/9018]	Time 0.598 (0.626)	Data 0.001 (0.004)	Loss 1.7866 (1.7079)	Prec@1 55.500 (54.362)	Prec@5 82.000 (83.497)
Epoch: [68][1900/9018]	Time 0.603 (0.626)	Data 0.002 (0.004)	Loss 1.7020 (1.7078)	Prec@1 53.000 (54.360)	Prec@5 83.000 (83.497)
Epoch: [68][1910/9018]	Time 0.806 (0.626)	Data 0.001 (0.004)	Loss 1.7442 (1.7077)	Prec@1 53.500 (54.371)	Prec@5 84.000 (83.497)
Epoch: [68][1920/9018]	Time 0.588 (0.626)	Data 0.001 (0.004)	Loss 1.6906 (1.7079)	Prec@1 57.000 (54.370)	Prec@5 83.000 (83.494)
Epoch: [68][1930/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 1.7328 (1.7079)	Prec@1 52.000 (54.365)	Prec@5 87.000 (83.492)
Epoch: [68][1940/9018]	Time 0.605 (0.626)	Data 0.013 (0.004)	Loss 1.7955 (1.7077)	Prec@1 54.000 (54.370)	Prec@5 81.000 (83.493)
Epoch: [68][1950/9018]	Time 0.623 (0.626)	Data 0.001 (0.004)	Loss 1.7987 (1.7078)	Prec@1 46.500 (54.360)	Prec@5 85.000 (83.493)
Epoch: [68][1960/9018]	Time 0.742 (0.626)	Data 0.001 (0.004)	Loss 1.5993 (1.7074)	Prec@1 54.500 (54.370)	Prec@5 85.000 (83.500)
Epoch: [68][1970/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.5721 (1.7073)	Prec@1 59.000 (54.371)	Prec@5 81.000 (83.500)
Epoch: [68][1980/9018]	Time 0.626 (0.626)	Data 0.001 (0.004)	Loss 1.6553 (1.7073)	Prec@1 53.500 (54.367)	Prec@5 82.500 (83.498)
Epoch: [68][1990/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.8780 (1.7075)	Prec@1 51.500 (54.361)	Prec@5 80.500 (83.496)
Epoch: [68][2000/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.8079 (1.7075)	Prec@1 51.500 (54.367)	Prec@5 82.500 (83.494)
Epoch: [68][2010/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 1.6938 (1.7074)	Prec@1 49.000 (54.369)	Prec@5 85.500 (83.500)
Epoch: [68][2020/9018]	Time 0.599 (0.626)	Data 0.001 (0.004)	Loss 1.6653 (1.7072)	Prec@1 51.500 (54.377)	Prec@5 85.000 (83.505)
Epoch: [68][2030/9018]	Time 0.591 (0.626)	Data 0.001 (0.004)	Loss 1.5631 (1.7074)	Prec@1 53.000 (54.372)	Prec@5 88.500 (83.500)
Epoch: [68][2040/9018]	Time 0.615 (0.626)	Data 0.001 (0.004)	Loss 1.7480 (1.7076)	Prec@1 51.500 (54.372)	Prec@5 84.000 (83.497)
Epoch: [68][2050/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.8354 (1.7078)	Prec@1 55.000 (54.367)	Prec@5 82.000 (83.493)
Epoch: [68][2060/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.7783 (1.7076)	Prec@1 52.000 (54.372)	Prec@5 85.000 (83.497)
Epoch: [68][2070/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.7083 (1.7076)	Prec@1 53.500 (54.378)	Prec@5 81.000 (83.499)
Epoch: [68][2080/9018]	Time 0.662 (0.626)	Data 0.001 (0.004)	Loss 1.6903 (1.7080)	Prec@1 51.500 (54.369)	Prec@5 84.000 (83.490)
Epoch: [68][2090/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.7817 (1.7078)	Prec@1 51.000 (54.375)	Prec@5 81.000 (83.490)
Epoch: [68][2100/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 1.7901 (1.7076)	Prec@1 54.500 (54.376)	Prec@5 80.500 (83.492)
Epoch: [68][2110/9018]	Time 0.616 (0.626)	Data 0.015 (0.004)	Loss 1.4794 (1.7075)	Prec@1 58.000 (54.377)	Prec@5 87.000 (83.495)
Epoch: [68][2120/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.7505 (1.7077)	Prec@1 53.000 (54.375)	Prec@5 82.500 (83.489)
Epoch: [68][2130/9018]	Time 0.597 (0.626)	Data 0.001 (0.004)	Loss 1.6662 (1.7079)	Prec@1 54.500 (54.368)	Prec@5 81.000 (83.485)
Epoch: [68][2140/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.8293 (1.7077)	Prec@1 52.000 (54.374)	Prec@5 78.500 (83.482)
Epoch: [68][2150/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.5929 (1.7076)	Prec@1 55.500 (54.373)	Prec@5 89.500 (83.488)
Epoch: [68][2160/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.6568 (1.7073)	Prec@1 53.000 (54.373)	Prec@5 84.000 (83.492)
Epoch: [68][2170/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 1.6936 (1.7073)	Prec@1 53.500 (54.370)	Prec@5 84.500 (83.494)
Epoch: [68][2180/9018]	Time 0.632 (0.626)	Data 0.001 (0.004)	Loss 1.9165 (1.7075)	Prec@1 50.000 (54.365)	Prec@5 80.000 (83.492)
Epoch: [68][2190/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6182 (1.7073)	Prec@1 56.000 (54.366)	Prec@5 86.500 (83.498)
Epoch: [68][2200/9018]	Time 0.637 (0.626)	Data 0.001 (0.004)	Loss 1.4846 (1.7071)	Prec@1 58.500 (54.367)	Prec@5 88.000 (83.503)
Epoch: [68][2210/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 1.9094 (1.7070)	Prec@1 50.000 (54.363)	Prec@5 80.000 (83.509)
Epoch: [68][2220/9018]	Time 0.613 (0.626)	Data 0.012 (0.004)	Loss 1.6062 (1.7067)	Prec@1 58.000 (54.371)	Prec@5 84.000 (83.511)
Epoch: [68][2230/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6842 (1.7068)	Prec@1 55.000 (54.365)	Prec@5 86.000 (83.511)
Epoch: [68][2240/9018]	Time 0.771 (0.625)	Data 0.001 (0.004)	Loss 1.7017 (1.7071)	Prec@1 54.500 (54.361)	Prec@5 78.500 (83.509)
Epoch: [68][2250/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.9181 (1.7075)	Prec@1 52.000 (54.358)	Prec@5 77.000 (83.498)
Epoch: [68][2260/9018]	Time 0.622 (0.626)	Data 0.015 (0.004)	Loss 1.5782 (1.7075)	Prec@1 59.000 (54.359)	Prec@5 86.000 (83.496)
Epoch: [68][2270/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.6594 (1.7073)	Prec@1 55.000 (54.365)	Prec@5 82.500 (83.500)
Epoch: [68][2280/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.6372 (1.7073)	Prec@1 53.500 (54.365)	Prec@5 85.500 (83.498)
Epoch: [68][2290/9018]	Time 0.717 (0.625)	Data 0.001 (0.004)	Loss 1.8340 (1.7076)	Prec@1 51.500 (54.357)	Prec@5 80.500 (83.491)
Epoch: [68][2300/9018]	Time 0.612 (0.625)	Data 0.002 (0.004)	Loss 1.7249 (1.7078)	Prec@1 55.000 (54.358)	Prec@5 83.000 (83.486)
Epoch: [68][2310/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.7191 (1.7076)	Prec@1 53.500 (54.364)	Prec@5 84.000 (83.491)
Epoch: [68][2320/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6309 (1.7076)	Prec@1 55.500 (54.360)	Prec@5 85.000 (83.491)
Epoch: [68][2330/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.6012 (1.7076)	Prec@1 61.500 (54.360)	Prec@5 84.000 (83.493)
Epoch: [68][2340/9018]	Time 0.633 (0.625)	Data 0.017 (0.004)	Loss 1.6190 (1.7075)	Prec@1 56.000 (54.362)	Prec@5 86.000 (83.493)
Epoch: [68][2350/9018]	Time 0.617 (0.625)	Data 0.006 (0.004)	Loss 1.4626 (1.7074)	Prec@1 61.000 (54.362)	Prec@5 88.500 (83.492)
Epoch: [68][2360/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.6375 (1.7073)	Prec@1 55.500 (54.361)	Prec@5 83.500 (83.495)
Epoch: [68][2370/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.5415 (1.7076)	Prec@1 56.500 (54.354)	Prec@5 86.000 (83.492)
Epoch: [68][2380/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.5893 (1.7074)	Prec@1 60.500 (54.361)	Prec@5 83.000 (83.492)
Epoch: [68][2390/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.5680 (1.7074)	Prec@1 54.500 (54.358)	Prec@5 84.500 (83.487)
Epoch: [68][2400/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.4534 (1.7073)	Prec@1 58.000 (54.362)	Prec@5 87.500 (83.489)
Epoch: [68][2410/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.5935 (1.7071)	Prec@1 60.500 (54.368)	Prec@5 88.500 (83.492)
Epoch: [68][2420/9018]	Time 0.619 (0.625)	Data 0.010 (0.004)	Loss 1.9102 (1.7074)	Prec@1 52.500 (54.360)	Prec@5 80.000 (83.487)
Epoch: [68][2430/9018]	Time 0.637 (0.625)	Data 0.017 (0.004)	Loss 1.7432 (1.7075)	Prec@1 53.500 (54.355)	Prec@5 81.500 (83.483)
Epoch: [68][2440/9018]	Time 0.647 (0.625)	Data 0.016 (0.004)	Loss 1.7103 (1.7074)	Prec@1 56.500 (54.361)	Prec@5 83.500 (83.483)
Epoch: [68][2450/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.7339 (1.7076)	Prec@1 55.000 (54.355)	Prec@5 78.500 (83.480)
Epoch: [68][2460/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.7196 (1.7078)	Prec@1 55.500 (54.351)	Prec@5 84.000 (83.477)
Epoch: [68][2470/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.8150 (1.7080)	Prec@1 52.500 (54.349)	Prec@5 83.000 (83.470)
Epoch: [68][2480/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.7472 (1.7081)	Prec@1 54.000 (54.348)	Prec@5 83.500 (83.468)
Epoch: [68][2490/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.6124 (1.7079)	Prec@1 57.500 (54.350)	Prec@5 87.500 (83.474)
Epoch: [68][2500/9018]	Time 0.627 (0.625)	Data 0.015 (0.004)	Loss 1.8255 (1.7083)	Prec@1 52.500 (54.343)	Prec@5 83.000 (83.472)
Epoch: [68][2510/9018]	Time 0.647 (0.625)	Data 0.002 (0.004)	Loss 1.6819 (1.7081)	Prec@1 54.500 (54.350)	Prec@5 84.500 (83.471)
Epoch: [68][2520/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.6950 (1.7081)	Prec@1 56.000 (54.348)	Prec@5 82.500 (83.468)
Epoch: [68][2530/9018]	Time 0.605 (0.625)	Data 0.002 (0.004)	Loss 1.5786 (1.7082)	Prec@1 54.500 (54.346)	Prec@5 85.500 (83.466)
Epoch: [68][2540/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.9074 (1.7082)	Prec@1 48.000 (54.345)	Prec@5 79.000 (83.466)
Epoch: [68][2550/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.9439 (1.7082)	Prec@1 52.500 (54.347)	Prec@5 74.500 (83.464)
Epoch: [68][2560/9018]	Time 0.629 (0.625)	Data 0.011 (0.004)	Loss 1.8112 (1.7082)	Prec@1 51.000 (54.341)	Prec@5 83.500 (83.463)
Epoch: [68][2570/9018]	Time 0.755 (0.625)	Data 0.001 (0.004)	Loss 1.6523 (1.7082)	Prec@1 57.000 (54.338)	Prec@5 85.500 (83.465)
Epoch: [68][2580/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.8533 (1.7083)	Prec@1 51.000 (54.337)	Prec@5 81.000 (83.466)
Epoch: [68][2590/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.9823 (1.7084)	Prec@1 47.000 (54.333)	Prec@5 79.500 (83.464)
Epoch: [68][2600/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.8520 (1.7082)	Prec@1 51.000 (54.337)	Prec@5 83.500 (83.468)
Epoch: [68][2610/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.6690 (1.7084)	Prec@1 53.500 (54.332)	Prec@5 85.500 (83.464)
Epoch: [68][2620/9018]	Time 0.739 (0.625)	Data 0.001 (0.004)	Loss 1.6733 (1.7083)	Prec@1 55.000 (54.337)	Prec@5 82.500 (83.466)
Epoch: [68][2630/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.8206 (1.7085)	Prec@1 51.500 (54.331)	Prec@5 81.000 (83.464)
Epoch: [68][2640/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.7856 (1.7084)	Prec@1 54.000 (54.335)	Prec@5 83.000 (83.462)
Epoch: [68][2650/9018]	Time 0.643 (0.625)	Data 0.001 (0.004)	Loss 1.7622 (1.7086)	Prec@1 51.500 (54.333)	Prec@5 80.000 (83.459)
Epoch: [68][2660/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.7297 (1.7087)	Prec@1 51.500 (54.332)	Prec@5 86.000 (83.457)
Epoch: [68][2670/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.8710 (1.7086)	Prec@1 51.500 (54.333)	Prec@5 80.000 (83.460)
Epoch: [68][2680/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.7443 (1.7085)	Prec@1 57.500 (54.338)	Prec@5 82.500 (83.461)
Epoch: [68][2690/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.7277 (1.7083)	Prec@1 49.500 (54.336)	Prec@5 85.000 (83.463)
Epoch: [68][2700/9018]	Time 0.626 (0.625)	Data 0.008 (0.004)	Loss 1.9224 (1.7084)	Prec@1 51.500 (54.334)	Prec@5 84.000 (83.461)
Epoch: [68][2710/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.7209 (1.7086)	Prec@1 54.500 (54.331)	Prec@5 84.500 (83.456)
Epoch: [68][2720/9018]	Time 0.627 (0.625)	Data 0.013 (0.004)	Loss 1.8502 (1.7088)	Prec@1 48.500 (54.331)	Prec@5 81.000 (83.454)
Epoch: [68][2730/9018]	Time 0.600 (0.625)	Data 0.006 (0.004)	Loss 1.5142 (1.7087)	Prec@1 60.000 (54.337)	Prec@5 88.000 (83.454)
Epoch: [68][2740/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.7071 (1.7087)	Prec@1 56.000 (54.341)	Prec@5 84.500 (83.453)
Epoch: [68][2750/9018]	Time 0.634 (0.625)	Data 0.015 (0.004)	Loss 1.5960 (1.7088)	Prec@1 60.000 (54.346)	Prec@5 84.500 (83.454)
Epoch: [68][2760/9018]	Time 0.629 (0.625)	Data 0.002 (0.004)	Loss 1.6100 (1.7089)	Prec@1 59.000 (54.344)	Prec@5 84.500 (83.457)
Epoch: [68][2770/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.9729 (1.7091)	Prec@1 49.000 (54.335)	Prec@5 79.500 (83.454)
Epoch: [68][2780/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.6798 (1.7091)	Prec@1 54.000 (54.337)	Prec@5 87.500 (83.455)
Epoch: [68][2790/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.5485 (1.7092)	Prec@1 53.000 (54.334)	Prec@5 87.000 (83.451)
Epoch: [68][2800/9018]	Time 0.612 (0.625)	Data 0.017 (0.004)	Loss 1.7079 (1.7090)	Prec@1 50.500 (54.336)	Prec@5 84.000 (83.453)
Epoch: [68][2810/9018]	Time 0.611 (0.625)	Data 0.025 (0.004)	Loss 1.5080 (1.7091)	Prec@1 61.500 (54.340)	Prec@5 83.500 (83.449)
Epoch: [68][2820/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.7218 (1.7090)	Prec@1 50.500 (54.336)	Prec@5 82.000 (83.451)
Epoch: [68][2830/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.7615 (1.7090)	Prec@1 55.500 (54.339)	Prec@5 85.500 (83.451)
Epoch: [68][2840/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.7445 (1.7091)	Prec@1 54.500 (54.335)	Prec@5 82.500 (83.449)
Epoch: [68][2850/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.9075 (1.7094)	Prec@1 52.000 (54.333)	Prec@5 80.000 (83.439)
Epoch: [68][2860/9018]	Time 0.629 (0.625)	Data 0.014 (0.004)	Loss 1.7302 (1.7094)	Prec@1 49.500 (54.328)	Prec@5 87.500 (83.444)
Epoch: [68][2870/9018]	Time 0.600 (0.625)	Data 0.003 (0.004)	Loss 1.7022 (1.7094)	Prec@1 54.500 (54.326)	Prec@5 81.500 (83.441)
Epoch: [68][2880/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.5856 (1.7095)	Prec@1 61.500 (54.330)	Prec@5 83.500 (83.439)
Epoch: [68][2890/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.7104 (1.7096)	Prec@1 53.500 (54.324)	Prec@5 82.000 (83.439)
Epoch: [68][2900/9018]	Time 0.769 (0.625)	Data 0.001 (0.004)	Loss 1.6887 (1.7099)	Prec@1 59.500 (54.319)	Prec@5 84.500 (83.435)
Epoch: [68][2910/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.6061 (1.7100)	Prec@1 56.500 (54.311)	Prec@5 86.000 (83.432)
Epoch: [68][2920/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6158 (1.7102)	Prec@1 54.500 (54.306)	Prec@5 84.500 (83.428)
Epoch: [68][2930/9018]	Time 0.631 (0.625)	Data 0.012 (0.004)	Loss 1.8066 (1.7105)	Prec@1 54.500 (54.300)	Prec@5 81.000 (83.425)
Epoch: [68][2940/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.5819 (1.7104)	Prec@1 53.500 (54.308)	Prec@5 86.500 (83.425)
Epoch: [68][2950/9018]	Time 0.744 (0.625)	Data 0.001 (0.004)	Loss 1.7404 (1.7103)	Prec@1 51.000 (54.312)	Prec@5 83.000 (83.425)
Epoch: [68][2960/9018]	Time 0.603 (0.625)	Data 0.005 (0.004)	Loss 1.7060 (1.7104)	Prec@1 51.000 (54.310)	Prec@5 87.000 (83.424)
Epoch: [68][2970/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.6402 (1.7103)	Prec@1 55.000 (54.310)	Prec@5 86.500 (83.426)
Epoch: [68][2980/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.7372 (1.7104)	Prec@1 52.000 (54.309)	Prec@5 82.500 (83.423)
Epoch: [68][2990/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.8861 (1.7103)	Prec@1 48.000 (54.313)	Prec@5 81.500 (83.425)
Epoch: [68][3000/9018]	Time 0.612 (0.625)	Data 0.004 (0.004)	Loss 1.8003 (1.7103)	Prec@1 54.000 (54.312)	Prec@5 80.000 (83.425)
Epoch: [68][3010/9018]	Time 0.614 (0.625)	Data 0.003 (0.004)	Loss 1.9854 (1.7104)	Prec@1 50.000 (54.312)	Prec@5 79.000 (83.418)
Epoch: [68][3020/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.4894 (1.7103)	Prec@1 59.000 (54.318)	Prec@5 87.500 (83.421)
Epoch: [68][3030/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.6491 (1.7103)	Prec@1 55.000 (54.320)	Prec@5 83.500 (83.422)
Epoch: [68][3040/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.5783 (1.7102)	Prec@1 56.500 (54.320)	Prec@5 84.500 (83.424)
Epoch: [68][3050/9018]	Time 0.656 (0.625)	Data 0.017 (0.004)	Loss 1.7586 (1.7100)	Prec@1 52.500 (54.325)	Prec@5 82.000 (83.426)
Epoch: [68][3060/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6611 (1.7100)	Prec@1 49.500 (54.322)	Prec@5 84.500 (83.429)
Epoch: [68][3070/9018]	Time 0.620 (0.625)	Data 0.014 (0.004)	Loss 1.7063 (1.7100)	Prec@1 51.500 (54.320)	Prec@5 82.500 (83.428)
Epoch: [68][3080/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.7466 (1.7101)	Prec@1 57.500 (54.322)	Prec@5 82.000 (83.428)
Epoch: [68][3090/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.5571 (1.7100)	Prec@1 56.500 (54.324)	Prec@5 84.500 (83.430)
Epoch: [68][3100/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.3419 (1.7097)	Prec@1 67.500 (54.334)	Prec@5 87.500 (83.435)
Epoch: [68][3110/9018]	Time 0.624 (0.625)	Data 0.012 (0.004)	Loss 1.6402 (1.7096)	Prec@1 58.000 (54.339)	Prec@5 83.000 (83.437)
Epoch: [68][3120/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.7307 (1.7095)	Prec@1 51.000 (54.338)	Prec@5 85.500 (83.441)
Epoch: [68][3130/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.6305 (1.7097)	Prec@1 52.000 (54.329)	Prec@5 88.000 (83.441)
Epoch: [68][3140/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.8058 (1.7098)	Prec@1 51.500 (54.329)	Prec@5 81.500 (83.439)
Epoch: [68][3150/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.7802 (1.7097)	Prec@1 51.000 (54.328)	Prec@5 82.000 (83.440)
Epoch: [68][3160/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.7187 (1.7096)	Prec@1 55.000 (54.331)	Prec@5 81.000 (83.441)
Epoch: [68][3170/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.8453 (1.7095)	Prec@1 56.000 (54.335)	Prec@5 81.500 (83.441)
Epoch: [68][3180/9018]	Time 0.604 (0.625)	Data 0.015 (0.004)	Loss 1.9524 (1.7097)	Prec@1 50.500 (54.331)	Prec@5 78.500 (83.434)
Epoch: [68][3190/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.6324 (1.7095)	Prec@1 54.500 (54.334)	Prec@5 84.000 (83.438)
Epoch: [68][3200/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.6808 (1.7096)	Prec@1 51.500 (54.331)	Prec@5 84.000 (83.436)
Epoch: [68][3210/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.7756 (1.7096)	Prec@1 54.000 (54.332)	Prec@5 81.000 (83.435)
Epoch: [68][3220/9018]	Time 0.611 (0.625)	Data 0.002 (0.004)	Loss 1.8250 (1.7094)	Prec@1 52.000 (54.337)	Prec@5 84.000 (83.437)
Epoch: [68][3230/9018]	Time 0.751 (0.625)	Data 0.001 (0.004)	Loss 1.9279 (1.7093)	Prec@1 47.000 (54.339)	Prec@5 77.500 (83.442)
Epoch: [68][3240/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.7978 (1.7092)	Prec@1 51.000 (54.343)	Prec@5 84.000 (83.443)
Epoch: [68][3250/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.7595 (1.7094)	Prec@1 52.000 (54.342)	Prec@5 85.500 (83.441)
Epoch: [68][3260/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.4344 (1.7095)	Prec@1 61.000 (54.341)	Prec@5 86.500 (83.440)
Epoch: [68][3270/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.6512 (1.7095)	Prec@1 54.500 (54.341)	Prec@5 86.000 (83.443)
Epoch: [68][3280/9018]	Time 0.772 (0.625)	Data 0.003 (0.004)	Loss 1.5167 (1.7096)	Prec@1 59.000 (54.342)	Prec@5 87.000 (83.443)
Epoch: [68][3290/9018]	Time 0.637 (0.625)	Data 0.001 (0.004)	Loss 1.7796 (1.7096)	Prec@1 50.500 (54.335)	Prec@5 81.500 (83.442)
Epoch: [68][3300/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.6308 (1.7095)	Prec@1 58.000 (54.339)	Prec@5 84.500 (83.444)
Epoch: [68][3310/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.9944 (1.7098)	Prec@1 46.000 (54.331)	Prec@5 80.500 (83.439)
Epoch: [68][3320/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.6856 (1.7098)	Prec@1 55.000 (54.333)	Prec@5 84.000 (83.437)
Epoch: [68][3330/9018]	Time 0.601 (0.625)	Data 0.002 (0.004)	Loss 1.6870 (1.7099)	Prec@1 54.500 (54.335)	Prec@5 83.500 (83.436)
Epoch: [68][3340/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.5733 (1.7099)	Prec@1 57.500 (54.338)	Prec@5 83.500 (83.436)
Epoch: [68][3350/9018]	Time 0.598 (0.625)	Data 0.014 (0.004)	Loss 1.7350 (1.7098)	Prec@1 55.000 (54.339)	Prec@5 85.000 (83.437)
Epoch: [68][3360/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.7357 (1.7099)	Prec@1 53.000 (54.331)	Prec@5 82.500 (83.435)
Epoch: [68][3370/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.6972 (1.7096)	Prec@1 57.000 (54.336)	Prec@5 82.500 (83.442)
Epoch: [68][3380/9018]	Time 0.640 (0.625)	Data 0.015 (0.004)	Loss 1.7474 (1.7098)	Prec@1 54.000 (54.334)	Prec@5 82.500 (83.441)
Epoch: [68][3390/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.5196 (1.7099)	Prec@1 59.000 (54.333)	Prec@5 87.500 (83.442)
Epoch: [68][3400/9018]	Time 0.647 (0.625)	Data 0.014 (0.004)	Loss 1.5773 (1.7098)	Prec@1 59.500 (54.334)	Prec@5 84.500 (83.443)
Epoch: [68][3410/9018]	Time 0.590 (0.625)	Data 0.001 (0.004)	Loss 1.5310 (1.7099)	Prec@1 62.500 (54.336)	Prec@5 89.000 (83.446)
Epoch: [68][3420/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.7100 (1.7099)	Prec@1 60.000 (54.341)	Prec@5 81.000 (83.446)
Epoch: [68][3430/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.6804 (1.7098)	Prec@1 57.000 (54.342)	Prec@5 84.000 (83.447)
Epoch: [68][3440/9018]	Time 0.590 (0.625)	Data 0.001 (0.004)	Loss 1.8888 (1.7099)	Prec@1 50.000 (54.342)	Prec@5 80.000 (83.445)
Epoch: [68][3450/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.9144 (1.7100)	Prec@1 50.000 (54.338)	Prec@5 76.500 (83.440)
Epoch: [68][3460/9018]	Time 0.620 (0.625)	Data 0.004 (0.004)	Loss 1.7522 (1.7102)	Prec@1 51.000 (54.340)	Prec@5 80.500 (83.437)
Epoch: [68][3470/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.7415 (1.7102)	Prec@1 56.000 (54.340)	Prec@5 81.000 (83.436)
Epoch: [68][3480/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.6944 (1.7103)	Prec@1 55.000 (54.340)	Prec@5 82.000 (83.434)
Epoch: [68][3490/9018]	Time 0.602 (0.625)	Data 0.011 (0.004)	Loss 1.6580 (1.7104)	Prec@1 55.000 (54.341)	Prec@5 85.000 (83.432)
Epoch: [68][3500/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.7214 (1.7104)	Prec@1 54.000 (54.342)	Prec@5 81.000 (83.430)
Epoch: [68][3510/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.6519 (1.7104)	Prec@1 53.000 (54.344)	Prec@5 85.000 (83.430)
Epoch: [68][3520/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.8139 (1.7103)	Prec@1 50.000 (54.343)	Prec@5 82.000 (83.434)
Epoch: [68][3530/9018]	Time 0.616 (0.625)	Data 0.002 (0.004)	Loss 1.5650 (1.7102)	Prec@1 54.000 (54.347)	Prec@5 89.000 (83.435)
Epoch: [68][3540/9018]	Time 0.603 (0.625)	Data 0.014 (0.004)	Loss 1.6533 (1.7103)	Prec@1 53.500 (54.345)	Prec@5 82.500 (83.436)
Epoch: [68][3550/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8163 (1.7105)	Prec@1 46.500 (54.337)	Prec@5 85.000 (83.434)
Epoch: [68][3560/9018]	Time 0.761 (0.625)	Data 0.001 (0.004)	Loss 1.7362 (1.7105)	Prec@1 49.000 (54.334)	Prec@5 85.000 (83.435)
Epoch: [68][3570/9018]	Time 0.632 (0.625)	Data 0.017 (0.004)	Loss 1.4953 (1.7104)	Prec@1 56.500 (54.338)	Prec@5 88.500 (83.433)
Epoch: [68][3580/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.7687 (1.7106)	Prec@1 54.500 (54.336)	Prec@5 81.000 (83.429)
Epoch: [68][3590/9018]	Time 0.660 (0.625)	Data 0.016 (0.004)	Loss 1.8973 (1.7108)	Prec@1 48.500 (54.333)	Prec@5 79.500 (83.425)
Epoch: [68][3600/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.8037 (1.7108)	Prec@1 51.500 (54.332)	Prec@5 79.000 (83.424)
Epoch: [68][3610/9018]	Time 0.752 (0.625)	Data 0.001 (0.004)	Loss 1.6120 (1.7107)	Prec@1 52.500 (54.333)	Prec@5 86.000 (83.429)
Epoch: [68][3620/9018]	Time 0.644 (0.625)	Data 0.001 (0.004)	Loss 1.6771 (1.7106)	Prec@1 56.500 (54.335)	Prec@5 83.500 (83.431)
Epoch: [68][3630/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.7579 (1.7107)	Prec@1 56.500 (54.335)	Prec@5 82.000 (83.430)
Epoch: [68][3640/9018]	Time 0.649 (0.625)	Data 0.001 (0.004)	Loss 1.6721 (1.7107)	Prec@1 56.500 (54.335)	Prec@5 88.500 (83.431)
Epoch: [68][3650/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.6047 (1.7107)	Prec@1 56.500 (54.334)	Prec@5 85.000 (83.430)
Epoch: [68][3660/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.5353 (1.7106)	Prec@1 57.000 (54.338)	Prec@5 88.500 (83.431)
Epoch: [68][3670/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.7755 (1.7105)	Prec@1 55.000 (54.342)	Prec@5 79.500 (83.433)
Epoch: [68][3680/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.4423 (1.7104)	Prec@1 59.000 (54.342)	Prec@5 87.000 (83.432)
Epoch: [68][3690/9018]	Time 0.621 (0.625)	Data 0.015 (0.004)	Loss 1.6062 (1.7105)	Prec@1 60.000 (54.344)	Prec@5 85.000 (83.429)
Epoch: [68][3700/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.6152 (1.7105)	Prec@1 56.000 (54.344)	Prec@5 84.500 (83.427)
Epoch: [68][3710/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.8911 (1.7105)	Prec@1 54.000 (54.345)	Prec@5 78.500 (83.428)
Epoch: [68][3720/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.6757 (1.7105)	Prec@1 53.500 (54.345)	Prec@5 85.500 (83.426)
Epoch: [68][3730/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.7887 (1.7106)	Prec@1 51.500 (54.345)	Prec@5 81.500 (83.423)
Epoch: [68][3740/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.6284 (1.7106)	Prec@1 54.500 (54.343)	Prec@5 87.500 (83.423)
Epoch: [68][3750/9018]	Time 0.629 (0.625)	Data 0.013 (0.004)	Loss 1.5712 (1.7105)	Prec@1 58.500 (54.346)	Prec@5 87.000 (83.424)
Epoch: [68][3760/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.6806 (1.7106)	Prec@1 54.500 (54.343)	Prec@5 84.000 (83.424)
Epoch: [68][3770/9018]	Time 0.608 (0.625)	Data 0.014 (0.004)	Loss 1.5389 (1.7107)	Prec@1 57.500 (54.343)	Prec@5 84.000 (83.422)
Epoch: [68][3780/9018]	Time 0.594 (0.625)	Data 0.002 (0.004)	Loss 1.7232 (1.7107)	Prec@1 55.500 (54.343)	Prec@5 83.500 (83.422)
Epoch: [68][3790/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.8380 (1.7106)	Prec@1 54.000 (54.347)	Prec@5 81.000 (83.424)
Epoch: [68][3800/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.5557 (1.7105)	Prec@1 59.000 (54.350)	Prec@5 83.500 (83.423)
Epoch: [68][3810/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7949 (1.7107)	Prec@1 51.000 (54.348)	Prec@5 83.000 (83.420)
Epoch: [68][3820/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.6897 (1.7107)	Prec@1 56.000 (54.347)	Prec@5 82.500 (83.417)
Epoch: [68][3830/9018]	Time 0.625 (0.625)	Data 0.012 (0.004)	Loss 1.9699 (1.7110)	Prec@1 50.500 (54.344)	Prec@5 78.500 (83.412)
Epoch: [68][3840/9018]	Time 0.627 (0.624)	Data 0.001 (0.004)	Loss 1.4840 (1.7108)	Prec@1 61.500 (54.347)	Prec@5 87.500 (83.414)
Epoch: [68][3850/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.5957 (1.7107)	Prec@1 56.500 (54.351)	Prec@5 84.500 (83.415)
Epoch: [68][3860/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.7538 (1.7107)	Prec@1 54.500 (54.355)	Prec@5 81.500 (83.415)
Epoch: [68][3870/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.6249 (1.7106)	Prec@1 58.500 (54.357)	Prec@5 85.000 (83.416)
Epoch: [68][3880/9018]	Time 0.634 (0.624)	Data 0.001 (0.004)	Loss 1.7398 (1.7108)	Prec@1 57.000 (54.357)	Prec@5 85.000 (83.414)
Epoch: [68][3890/9018]	Time 0.758 (0.624)	Data 0.001 (0.004)	Loss 1.7194 (1.7110)	Prec@1 50.000 (54.351)	Prec@5 83.000 (83.409)
Epoch: [68][3900/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 1.6968 (1.7110)	Prec@1 57.000 (54.347)	Prec@5 85.500 (83.409)
Epoch: [68][3910/9018]	Time 0.641 (0.624)	Data 0.001 (0.004)	Loss 1.5622 (1.7111)	Prec@1 59.500 (54.348)	Prec@5 86.000 (83.410)
Epoch: [68][3920/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.5861 (1.7112)	Prec@1 60.000 (54.344)	Prec@5 84.000 (83.408)
Epoch: [68][3930/9018]	Time 0.631 (0.624)	Data 0.001 (0.004)	Loss 1.8644 (1.7112)	Prec@1 50.000 (54.343)	Prec@5 79.000 (83.408)
Epoch: [68][3940/9018]	Time 0.721 (0.624)	Data 0.001 (0.004)	Loss 1.8610 (1.7113)	Prec@1 51.500 (54.337)	Prec@5 80.000 (83.405)
Epoch: [68][3950/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.6330 (1.7112)	Prec@1 57.000 (54.336)	Prec@5 85.500 (83.409)
Epoch: [68][3960/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.8080 (1.7113)	Prec@1 49.500 (54.330)	Prec@5 81.000 (83.408)
Epoch: [68][3970/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.9719 (1.7113)	Prec@1 47.500 (54.329)	Prec@5 78.000 (83.407)
Epoch: [68][3980/9018]	Time 0.623 (0.624)	Data 0.002 (0.004)	Loss 1.6667 (1.7113)	Prec@1 54.500 (54.327)	Prec@5 86.000 (83.408)
Epoch: [68][3990/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.7984 (1.7115)	Prec@1 51.000 (54.325)	Prec@5 80.500 (83.404)
Epoch: [68][4000/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.7524 (1.7114)	Prec@1 56.500 (54.326)	Prec@5 84.000 (83.404)
Epoch: [68][4010/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.3442 (1.7113)	Prec@1 62.000 (54.328)	Prec@5 89.500 (83.406)
Epoch: [68][4020/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.5899 (1.7111)	Prec@1 55.000 (54.330)	Prec@5 85.500 (83.409)
Epoch: [68][4030/9018]	Time 0.609 (0.624)	Data 0.012 (0.004)	Loss 1.8625 (1.7111)	Prec@1 52.000 (54.329)	Prec@5 80.500 (83.411)
Epoch: [68][4040/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.6529 (1.7110)	Prec@1 56.500 (54.332)	Prec@5 85.500 (83.412)
Epoch: [68][4050/9018]	Time 0.628 (0.624)	Data 0.008 (0.004)	Loss 2.0746 (1.7111)	Prec@1 45.000 (54.331)	Prec@5 78.000 (83.410)
Epoch: [68][4060/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.7237 (1.7111)	Prec@1 54.500 (54.329)	Prec@5 83.000 (83.410)
Epoch: [68][4070/9018]	Time 0.650 (0.624)	Data 0.001 (0.004)	Loss 1.7671 (1.7112)	Prec@1 53.000 (54.328)	Prec@5 83.000 (83.412)
Epoch: [68][4080/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.7959 (1.7112)	Prec@1 55.500 (54.328)	Prec@5 82.000 (83.413)
Epoch: [68][4090/9018]	Time 0.659 (0.625)	Data 0.001 (0.004)	Loss 1.5164 (1.7112)	Prec@1 59.500 (54.330)	Prec@5 87.500 (83.411)
Epoch: [68][4100/9018]	Time 0.601 (0.624)	Data 0.003 (0.004)	Loss 1.6098 (1.7112)	Prec@1 54.500 (54.326)	Prec@5 87.500 (83.412)
Epoch: [68][4110/9018]	Time 0.600 (0.624)	Data 0.016 (0.004)	Loss 1.7345 (1.7115)	Prec@1 54.500 (54.322)	Prec@5 80.000 (83.408)
Epoch: [68][4120/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.8619 (1.7115)	Prec@1 50.500 (54.323)	Prec@5 76.500 (83.404)
Epoch: [68][4130/9018]	Time 0.626 (0.624)	Data 0.001 (0.004)	Loss 1.8723 (1.7116)	Prec@1 53.000 (54.324)	Prec@5 79.500 (83.405)
Epoch: [68][4140/9018]	Time 0.648 (0.624)	Data 0.001 (0.004)	Loss 1.5996 (1.7115)	Prec@1 62.000 (54.331)	Prec@5 85.500 (83.406)
Epoch: [68][4150/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.6064 (1.7115)	Prec@1 62.500 (54.331)	Prec@5 82.000 (83.407)
Epoch: [68][4160/9018]	Time 0.643 (0.624)	Data 0.001 (0.004)	Loss 1.9014 (1.7117)	Prec@1 48.000 (54.326)	Prec@5 82.500 (83.403)
Epoch: [68][4170/9018]	Time 0.628 (0.624)	Data 0.015 (0.004)	Loss 1.7878 (1.7118)	Prec@1 51.500 (54.323)	Prec@5 84.000 (83.401)
Epoch: [68][4180/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.5273 (1.7117)	Prec@1 54.500 (54.320)	Prec@5 87.000 (83.403)
Epoch: [68][4190/9018]	Time 0.617 (0.624)	Data 0.015 (0.004)	Loss 1.5952 (1.7118)	Prec@1 60.500 (54.322)	Prec@5 86.000 (83.402)
Epoch: [68][4200/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 2.0285 (1.7119)	Prec@1 46.500 (54.318)	Prec@5 78.000 (83.400)
Epoch: [68][4210/9018]	Time 0.619 (0.624)	Data 0.008 (0.004)	Loss 1.5539 (1.7119)	Prec@1 60.000 (54.321)	Prec@5 88.500 (83.401)
Epoch: [68][4220/9018]	Time 0.758 (0.624)	Data 0.001 (0.004)	Loss 1.5886 (1.7121)	Prec@1 61.000 (54.318)	Prec@5 85.000 (83.400)
Epoch: [68][4230/9018]	Time 0.616 (0.624)	Data 0.013 (0.004)	Loss 1.6630 (1.7119)	Prec@1 58.000 (54.322)	Prec@5 83.500 (83.402)
Epoch: [68][4240/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.5890 (1.7119)	Prec@1 56.500 (54.323)	Prec@5 85.000 (83.403)
Epoch: [68][4250/9018]	Time 0.599 (0.624)	Data 0.007 (0.004)	Loss 1.7339 (1.7118)	Prec@1 52.500 (54.325)	Prec@5 82.500 (83.402)
Epoch: [68][4260/9018]	Time 0.647 (0.624)	Data 0.001 (0.004)	Loss 1.8285 (1.7119)	Prec@1 52.000 (54.322)	Prec@5 83.000 (83.400)
Epoch: [68][4270/9018]	Time 0.730 (0.624)	Data 0.017 (0.004)	Loss 1.8214 (1.7119)	Prec@1 53.500 (54.325)	Prec@5 81.500 (83.401)
Epoch: [68][4280/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.5723 (1.7119)	Prec@1 55.500 (54.327)	Prec@5 87.500 (83.400)
Epoch: [68][4290/9018]	Time 0.675 (0.624)	Data 0.016 (0.004)	Loss 1.7395 (1.7119)	Prec@1 53.000 (54.326)	Prec@5 84.000 (83.399)
Epoch: [68][4300/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.6875 (1.7119)	Prec@1 53.500 (54.329)	Prec@5 84.000 (83.401)
Epoch: [68][4310/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.6925 (1.7121)	Prec@1 56.000 (54.323)	Prec@5 81.500 (83.398)
Epoch: [68][4320/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.7982 (1.7119)	Prec@1 52.500 (54.328)	Prec@5 81.000 (83.397)
Epoch: [68][4330/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.7735 (1.7121)	Prec@1 48.000 (54.325)	Prec@5 84.500 (83.392)
Epoch: [68][4340/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.8929 (1.7121)	Prec@1 50.000 (54.324)	Prec@5 83.500 (83.392)
Epoch: [68][4350/9018]	Time 0.627 (0.624)	Data 0.011 (0.004)	Loss 1.6115 (1.7122)	Prec@1 56.000 (54.320)	Prec@5 88.500 (83.393)
Epoch: [68][4360/9018]	Time 0.594 (0.624)	Data 0.008 (0.004)	Loss 2.1107 (1.7121)	Prec@1 40.500 (54.322)	Prec@5 77.500 (83.394)
Epoch: [68][4370/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.4620 (1.7121)	Prec@1 64.000 (54.324)	Prec@5 85.500 (83.391)
Epoch: [68][4380/9018]	Time 0.631 (0.624)	Data 0.001 (0.004)	Loss 1.7133 (1.7122)	Prec@1 51.000 (54.324)	Prec@5 84.000 (83.388)
Epoch: [68][4390/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.7586 (1.7121)	Prec@1 52.000 (54.324)	Prec@5 82.500 (83.389)
Epoch: [68][4400/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.8142 (1.7121)	Prec@1 50.000 (54.322)	Prec@5 82.500 (83.389)
Epoch: [68][4410/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.5655 (1.7120)	Prec@1 55.000 (54.320)	Prec@5 89.000 (83.392)
Epoch: [68][4420/9018]	Time 0.625 (0.624)	Data 0.004 (0.004)	Loss 1.8123 (1.7120)	Prec@1 49.500 (54.319)	Prec@5 81.000 (83.391)
Epoch: [68][4430/9018]	Time 0.630 (0.624)	Data 0.001 (0.004)	Loss 1.7427 (1.7119)	Prec@1 51.000 (54.320)	Prec@5 82.500 (83.389)
Epoch: [68][4440/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.6999 (1.7119)	Prec@1 55.500 (54.321)	Prec@5 83.000 (83.388)
Epoch: [68][4450/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.6637 (1.7117)	Prec@1 54.500 (54.324)	Prec@5 84.000 (83.393)
Epoch: [68][4460/9018]	Time 0.604 (0.624)	Data 0.016 (0.004)	Loss 1.5184 (1.7116)	Prec@1 57.500 (54.327)	Prec@5 86.000 (83.396)
Epoch: [68][4470/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.6177 (1.7115)	Prec@1 61.000 (54.330)	Prec@5 84.000 (83.394)
Epoch: [68][4480/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.6685 (1.7117)	Prec@1 54.500 (54.324)	Prec@5 85.000 (83.393)
Epoch: [68][4490/9018]	Time 0.605 (0.624)	Data 0.002 (0.004)	Loss 1.4352 (1.7117)	Prec@1 58.500 (54.328)	Prec@5 87.000 (83.394)
Epoch: [68][4500/9018]	Time 0.638 (0.624)	Data 0.001 (0.004)	Loss 1.5942 (1.7118)	Prec@1 55.500 (54.327)	Prec@5 84.500 (83.390)
Epoch: [68][4510/9018]	Time 0.639 (0.624)	Data 0.016 (0.004)	Loss 1.9833 (1.7118)	Prec@1 49.500 (54.327)	Prec@5 83.500 (83.387)
Epoch: [68][4520/9018]	Time 0.618 (0.624)	Data 0.012 (0.004)	Loss 1.5731 (1.7119)	Prec@1 55.500 (54.323)	Prec@5 86.000 (83.385)
Epoch: [68][4530/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.8304 (1.7120)	Prec@1 54.500 (54.322)	Prec@5 81.500 (83.386)
Epoch: [68][4540/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.7199 (1.7120)	Prec@1 53.000 (54.324)	Prec@5 87.000 (83.385)
Epoch: [68][4550/9018]	Time 0.756 (0.624)	Data 0.001 (0.004)	Loss 1.6084 (1.7120)	Prec@1 58.000 (54.323)	Prec@5 85.500 (83.384)
Epoch: [68][4560/9018]	Time 0.627 (0.624)	Data 0.006 (0.004)	Loss 1.6513 (1.7121)	Prec@1 57.500 (54.321)	Prec@5 85.500 (83.382)
Epoch: [68][4570/9018]	Time 0.615 (0.624)	Data 0.012 (0.004)	Loss 1.9383 (1.7122)	Prec@1 48.000 (54.319)	Prec@5 81.500 (83.379)
Epoch: [68][4580/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.7090 (1.7121)	Prec@1 53.000 (54.321)	Prec@5 84.500 (83.380)
Epoch: [68][4590/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.7319 (1.7121)	Prec@1 54.000 (54.322)	Prec@5 83.500 (83.380)
Epoch: [68][4600/9018]	Time 0.783 (0.624)	Data 0.001 (0.004)	Loss 1.5977 (1.7121)	Prec@1 59.500 (54.323)	Prec@5 85.500 (83.380)
Epoch: [68][4610/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.6841 (1.7121)	Prec@1 55.500 (54.324)	Prec@5 81.500 (83.380)
Epoch: [68][4620/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.6313 (1.7121)	Prec@1 56.000 (54.324)	Prec@5 84.500 (83.379)
Epoch: [68][4630/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.6164 (1.7120)	Prec@1 53.500 (54.324)	Prec@5 84.000 (83.381)
Epoch: [68][4640/9018]	Time 0.596 (0.624)	Data 0.004 (0.004)	Loss 1.7816 (1.7122)	Prec@1 48.500 (54.320)	Prec@5 83.500 (83.377)
Epoch: [68][4650/9018]	Time 0.606 (0.624)	Data 0.017 (0.004)	Loss 1.8212 (1.7121)	Prec@1 51.000 (54.322)	Prec@5 82.500 (83.378)
Epoch: [68][4660/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.7277 (1.7120)	Prec@1 55.500 (54.321)	Prec@5 82.000 (83.379)
Epoch: [68][4670/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.4335 (1.7119)	Prec@1 57.500 (54.321)	Prec@5 87.500 (83.381)
Epoch: [68][4680/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.6545 (1.7118)	Prec@1 57.500 (54.324)	Prec@5 83.000 (83.380)
Epoch: [68][4690/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.5632 (1.7119)	Prec@1 58.500 (54.324)	Prec@5 87.000 (83.380)
Epoch: [68][4700/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.8623 (1.7120)	Prec@1 50.500 (54.321)	Prec@5 81.500 (83.378)
Epoch: [68][4710/9018]	Time 0.621 (0.624)	Data 0.007 (0.004)	Loss 1.7319 (1.7120)	Prec@1 50.500 (54.321)	Prec@5 85.000 (83.379)
Epoch: [68][4720/9018]	Time 0.605 (0.624)	Data 0.004 (0.004)	Loss 1.7614 (1.7121)	Prec@1 50.500 (54.320)	Prec@5 83.000 (83.377)
Epoch: [68][4730/9018]	Time 0.630 (0.624)	Data 0.001 (0.004)	Loss 1.7010 (1.7121)	Prec@1 53.000 (54.324)	Prec@5 81.000 (83.376)
Epoch: [68][4740/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.7245 (1.7120)	Prec@1 55.000 (54.326)	Prec@5 78.500 (83.375)
Epoch: [68][4750/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.8322 (1.7122)	Prec@1 46.000 (54.321)	Prec@5 83.000 (83.374)
Epoch: [68][4760/9018]	Time 0.650 (0.624)	Data 0.001 (0.004)	Loss 1.6837 (1.7120)	Prec@1 55.000 (54.322)	Prec@5 80.500 (83.376)
Epoch: [68][4770/9018]	Time 0.605 (0.624)	Data 0.014 (0.004)	Loss 1.4683 (1.7119)	Prec@1 58.500 (54.329)	Prec@5 89.000 (83.377)
Epoch: [68][4780/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.6387 (1.7119)	Prec@1 55.000 (54.332)	Prec@5 86.500 (83.378)
Epoch: [68][4790/9018]	Time 0.620 (0.624)	Data 0.013 (0.004)	Loss 1.6386 (1.7118)	Prec@1 53.000 (54.334)	Prec@5 81.500 (83.379)
Epoch: [68][4800/9018]	Time 0.640 (0.624)	Data 0.001 (0.004)	Loss 1.7150 (1.7118)	Prec@1 55.500 (54.331)	Prec@5 81.500 (83.380)
Epoch: [68][4810/9018]	Time 0.622 (0.624)	Data 0.001 (0.004)	Loss 1.6554 (1.7118)	Prec@1 57.500 (54.333)	Prec@5 84.000 (83.381)
Epoch: [68][4820/9018]	Time 0.633 (0.624)	Data 0.001 (0.004)	Loss 1.8238 (1.7119)	Prec@1 54.500 (54.331)	Prec@5 82.000 (83.380)
Epoch: [68][4830/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.7339 (1.7118)	Prec@1 56.000 (54.333)	Prec@5 80.500 (83.380)
Epoch: [68][4840/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.5072 (1.7119)	Prec@1 58.500 (54.333)	Prec@5 86.000 (83.380)
Epoch: [68][4850/9018]	Time 0.635 (0.624)	Data 0.001 (0.004)	Loss 1.7892 (1.7119)	Prec@1 53.000 (54.333)	Prec@5 80.500 (83.381)
Epoch: [68][4860/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.5694 (1.7119)	Prec@1 58.000 (54.335)	Prec@5 84.500 (83.380)
Epoch: [68][4870/9018]	Time 0.632 (0.624)	Data 0.001 (0.004)	Loss 1.9030 (1.7118)	Prec@1 51.500 (54.338)	Prec@5 79.500 (83.381)
Epoch: [68][4880/9018]	Time 0.765 (0.624)	Data 0.001 (0.004)	Loss 1.7870 (1.7117)	Prec@1 55.500 (54.339)	Prec@5 81.500 (83.382)
Epoch: [68][4890/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.5164 (1.7116)	Prec@1 60.500 (54.341)	Prec@5 85.000 (83.384)
Epoch: [68][4900/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.7164 (1.7116)	Prec@1 55.000 (54.343)	Prec@5 82.000 (83.383)
Epoch: [68][4910/9018]	Time 0.633 (0.624)	Data 0.013 (0.004)	Loss 1.6904 (1.7116)	Prec@1 54.000 (54.339)	Prec@5 83.500 (83.383)
Epoch: [68][4920/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.6459 (1.7115)	Prec@1 56.000 (54.340)	Prec@5 82.500 (83.384)
Epoch: [68][4930/9018]	Time 0.768 (0.624)	Data 0.001 (0.004)	Loss 1.4842 (1.7114)	Prec@1 54.500 (54.342)	Prec@5 88.000 (83.386)
Epoch: [68][4940/9018]	Time 0.629 (0.624)	Data 0.001 (0.004)	Loss 2.3692 (1.7115)	Prec@1 45.000 (54.339)	Prec@5 72.500 (83.384)
Epoch: [68][4950/9018]	Time 0.590 (0.624)	Data 0.001 (0.004)	Loss 1.6243 (1.7116)	Prec@1 55.500 (54.338)	Prec@5 86.000 (83.384)
Epoch: [68][4960/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.4820 (1.7115)	Prec@1 62.500 (54.340)	Prec@5 88.000 (83.386)
Epoch: [68][4970/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.5560 (1.7116)	Prec@1 56.500 (54.340)	Prec@5 88.000 (83.384)
Epoch: [68][4980/9018]	Time 0.636 (0.624)	Data 0.001 (0.004)	Loss 1.6529 (1.7116)	Prec@1 55.000 (54.340)	Prec@5 85.000 (83.384)
Epoch: [68][4990/9018]	Time 0.614 (0.624)	Data 0.016 (0.004)	Loss 1.6467 (1.7115)	Prec@1 56.500 (54.342)	Prec@5 84.500 (83.384)
Epoch: [68][5000/9018]	Time 0.623 (0.624)	Data 0.002 (0.004)	Loss 1.7132 (1.7117)	Prec@1 52.000 (54.339)	Prec@5 83.000 (83.380)
Epoch: [68][5010/9018]	Time 0.630 (0.624)	Data 0.016 (0.004)	Loss 1.7884 (1.7117)	Prec@1 49.500 (54.339)	Prec@5 84.000 (83.382)
Epoch: [68][5020/9018]	Time 0.622 (0.624)	Data 0.001 (0.004)	Loss 1.6580 (1.7116)	Prec@1 56.000 (54.338)	Prec@5 84.500 (83.383)
Epoch: [68][5030/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.5956 (1.7116)	Prec@1 54.500 (54.340)	Prec@5 83.500 (83.383)
Epoch: [68][5040/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 1.6248 (1.7117)	Prec@1 57.000 (54.337)	Prec@5 86.000 (83.381)
Epoch: [68][5050/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.7431 (1.7116)	Prec@1 55.000 (54.340)	Prec@5 85.000 (83.383)
Epoch: [68][5060/9018]	Time 0.616 (0.624)	Data 0.013 (0.004)	Loss 1.7682 (1.7117)	Prec@1 52.000 (54.339)	Prec@5 79.500 (83.382)
Epoch: [68][5070/9018]	Time 0.598 (0.624)	Data 0.016 (0.004)	Loss 1.8746 (1.7116)	Prec@1 51.000 (54.342)	Prec@5 81.500 (83.384)
Epoch: [68][5080/9018]	Time 0.590 (0.624)	Data 0.016 (0.004)	Loss 1.7869 (1.7116)	Prec@1 50.000 (54.340)	Prec@5 88.000 (83.384)
Epoch: [68][5090/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.7404 (1.7116)	Prec@1 53.000 (54.339)	Prec@5 85.000 (83.385)
Epoch: [68][5100/9018]	Time 0.628 (0.624)	Data 0.001 (0.004)	Loss 1.5433 (1.7117)	Prec@1 60.000 (54.338)	Prec@5 84.000 (83.382)
Epoch: [68][5110/9018]	Time 0.629 (0.624)	Data 0.002 (0.004)	Loss 1.6625 (1.7115)	Prec@1 52.000 (54.339)	Prec@5 84.500 (83.384)
Epoch: [68][5120/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.7343 (1.7116)	Prec@1 56.500 (54.337)	Prec@5 82.000 (83.386)
Epoch: [68][5130/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.9359 (1.7117)	Prec@1 47.500 (54.331)	Prec@5 79.000 (83.382)
Epoch: [68][5140/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.7585 (1.7117)	Prec@1 55.000 (54.333)	Prec@5 83.000 (83.383)
Epoch: [68][5150/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.8799 (1.7118)	Prec@1 54.000 (54.334)	Prec@5 81.500 (83.378)
Epoch: [68][5160/9018]	Time 0.649 (0.624)	Data 0.001 (0.004)	Loss 1.6418 (1.7119)	Prec@1 53.000 (54.334)	Prec@5 84.000 (83.377)
Epoch: [68][5170/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.7232 (1.7119)	Prec@1 49.000 (54.335)	Prec@5 85.500 (83.378)
Epoch: [68][5180/9018]	Time 0.631 (0.624)	Data 0.001 (0.004)	Loss 1.8629 (1.7119)	Prec@1 50.000 (54.334)	Prec@5 76.000 (83.377)
Epoch: [68][5190/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.7382 (1.7120)	Prec@1 51.000 (54.334)	Prec@5 82.000 (83.376)
Epoch: [68][5200/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.6527 (1.7121)	Prec@1 57.000 (54.333)	Prec@5 84.500 (83.374)
Epoch: [68][5210/9018]	Time 0.717 (0.624)	Data 0.001 (0.004)	Loss 1.7503 (1.7121)	Prec@1 46.000 (54.330)	Prec@5 84.000 (83.375)
Epoch: [68][5220/9018]	Time 0.605 (0.624)	Data 0.002 (0.004)	Loss 1.6044 (1.7121)	Prec@1 54.000 (54.330)	Prec@5 85.500 (83.375)
Epoch: [68][5230/9018]	Time 0.633 (0.624)	Data 0.001 (0.004)	Loss 1.8456 (1.7121)	Prec@1 50.000 (54.330)	Prec@5 84.000 (83.374)
Epoch: [68][5240/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.6123 (1.7120)	Prec@1 59.000 (54.334)	Prec@5 84.000 (83.375)
Epoch: [68][5250/9018]	Time 0.638 (0.624)	Data 0.001 (0.004)	Loss 1.8247 (1.7120)	Prec@1 51.000 (54.336)	Prec@5 83.500 (83.376)
Epoch: [68][5260/9018]	Time 0.735 (0.624)	Data 0.003 (0.004)	Loss 1.7896 (1.7121)	Prec@1 52.500 (54.337)	Prec@5 82.500 (83.375)
Epoch: [68][5270/9018]	Time 0.607 (0.624)	Data 0.009 (0.004)	Loss 1.7724 (1.7121)	Prec@1 52.000 (54.335)	Prec@5 81.000 (83.375)
Epoch: [68][5280/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 2.0015 (1.7121)	Prec@1 48.000 (54.333)	Prec@5 78.000 (83.374)
Epoch: [68][5290/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.7444 (1.7120)	Prec@1 53.500 (54.336)	Prec@5 83.500 (83.377)
Epoch: [68][5300/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.6332 (1.7121)	Prec@1 54.500 (54.335)	Prec@5 85.500 (83.378)
Epoch: [68][5310/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.8243 (1.7122)	Prec@1 51.500 (54.332)	Prec@5 81.500 (83.377)
Epoch: [68][5320/9018]	Time 0.592 (0.624)	Data 0.001 (0.004)	Loss 1.6520 (1.7122)	Prec@1 57.000 (54.332)	Prec@5 83.500 (83.378)
Epoch: [68][5330/9018]	Time 0.624 (0.624)	Data 0.017 (0.004)	Loss 1.6623 (1.7122)	Prec@1 57.500 (54.331)	Prec@5 83.500 (83.376)
Epoch: [68][5340/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.6029 (1.7124)	Prec@1 56.500 (54.328)	Prec@5 85.500 (83.376)
Epoch: [68][5350/9018]	Time 0.625 (0.624)	Data 0.015 (0.004)	Loss 1.6805 (1.7123)	Prec@1 55.500 (54.329)	Prec@5 85.500 (83.379)
Epoch: [68][5360/9018]	Time 0.633 (0.624)	Data 0.001 (0.004)	Loss 1.5650 (1.7122)	Prec@1 56.000 (54.332)	Prec@5 85.000 (83.381)
Epoch: [68][5370/9018]	Time 0.628 (0.624)	Data 0.001 (0.004)	Loss 1.6330 (1.7122)	Prec@1 54.500 (54.334)	Prec@5 85.500 (83.382)
Epoch: [68][5380/9018]	Time 0.598 (0.624)	Data 0.012 (0.004)	Loss 1.8196 (1.7122)	Prec@1 57.000 (54.333)	Prec@5 82.000 (83.382)
Epoch: [68][5390/9018]	Time 0.610 (0.624)	Data 0.013 (0.004)	Loss 1.7542 (1.7122)	Prec@1 57.000 (54.334)	Prec@5 83.500 (83.382)
Epoch: [68][5400/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.5459 (1.7121)	Prec@1 57.500 (54.338)	Prec@5 89.000 (83.384)
Epoch: [68][5410/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.5955 (1.7120)	Prec@1 59.000 (54.339)	Prec@5 83.000 (83.383)
Epoch: [68][5420/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.7785 (1.7120)	Prec@1 54.500 (54.337)	Prec@5 83.500 (83.384)
Epoch: [68][5430/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.8625 (1.7121)	Prec@1 51.500 (54.332)	Prec@5 77.000 (83.383)
Epoch: [68][5440/9018]	Time 0.622 (0.624)	Data 0.001 (0.004)	Loss 1.7381 (1.7121)	Prec@1 52.500 (54.331)	Prec@5 84.500 (83.383)
Epoch: [68][5450/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.6830 (1.7120)	Prec@1 54.500 (54.334)	Prec@5 84.500 (83.386)
Epoch: [68][5460/9018]	Time 0.630 (0.624)	Data 0.016 (0.004)	Loss 1.5568 (1.7119)	Prec@1 58.000 (54.335)	Prec@5 83.500 (83.386)
Epoch: [68][5470/9018]	Time 0.631 (0.624)	Data 0.014 (0.004)	Loss 2.0025 (1.7120)	Prec@1 47.500 (54.334)	Prec@5 76.500 (83.383)
Epoch: [68][5480/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.7229 (1.7120)	Prec@1 57.500 (54.335)	Prec@5 80.500 (83.382)
Epoch: [68][5490/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.8487 (1.7120)	Prec@1 54.000 (54.335)	Prec@5 82.500 (83.380)
Epoch: [68][5500/9018]	Time 0.654 (0.624)	Data 0.014 (0.004)	Loss 1.8615 (1.7121)	Prec@1 52.000 (54.334)	Prec@5 77.000 (83.379)
Epoch: [68][5510/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.5625 (1.7121)	Prec@1 57.500 (54.334)	Prec@5 88.500 (83.378)
Epoch: [68][5520/9018]	Time 0.612 (0.624)	Data 0.021 (0.004)	Loss 1.6477 (1.7121)	Prec@1 56.500 (54.335)	Prec@5 85.000 (83.379)
Epoch: [68][5530/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.8201 (1.7121)	Prec@1 48.500 (54.333)	Prec@5 83.000 (83.379)
Epoch: [68][5540/9018]	Time 0.780 (0.624)	Data 0.001 (0.004)	Loss 1.8443 (1.7121)	Prec@1 50.000 (54.334)	Prec@5 81.500 (83.378)
Epoch: [68][5550/9018]	Time 0.651 (0.624)	Data 0.001 (0.004)	Loss 1.6053 (1.7121)	Prec@1 56.500 (54.337)	Prec@5 85.000 (83.379)
Epoch: [68][5560/9018]	Time 0.630 (0.624)	Data 0.001 (0.004)	Loss 1.6837 (1.7121)	Prec@1 58.000 (54.338)	Prec@5 82.500 (83.378)
Epoch: [68][5570/9018]	Time 0.620 (0.624)	Data 0.012 (0.004)	Loss 1.4244 (1.7120)	Prec@1 60.000 (54.340)	Prec@5 90.500 (83.379)
Epoch: [68][5580/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.4598 (1.7119)	Prec@1 59.000 (54.340)	Prec@5 88.500 (83.380)
Epoch: [68][5590/9018]	Time 0.702 (0.624)	Data 0.001 (0.004)	Loss 1.8452 (1.7119)	Prec@1 54.500 (54.343)	Prec@5 82.000 (83.380)
Epoch: [68][5600/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.6416 (1.7118)	Prec@1 58.000 (54.349)	Prec@5 82.500 (83.380)
Epoch: [68][5610/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.6958 (1.7117)	Prec@1 56.000 (54.354)	Prec@5 81.500 (83.380)
Epoch: [68][5620/9018]	Time 0.651 (0.624)	Data 0.014 (0.004)	Loss 1.6406 (1.7118)	Prec@1 52.500 (54.350)	Prec@5 83.500 (83.379)
Epoch: [68][5630/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.7603 (1.7119)	Prec@1 48.500 (54.351)	Prec@5 85.000 (83.379)
Epoch: [68][5640/9018]	Time 0.624 (0.624)	Data 0.008 (0.004)	Loss 1.7593 (1.7119)	Prec@1 50.000 (54.351)	Prec@5 83.500 (83.381)
Epoch: [68][5650/9018]	Time 0.604 (0.624)	Data 0.010 (0.004)	Loss 1.4814 (1.7119)	Prec@1 56.000 (54.350)	Prec@5 88.000 (83.382)
Epoch: [68][5660/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.6612 (1.7119)	Prec@1 55.500 (54.350)	Prec@5 85.000 (83.383)
Epoch: [68][5670/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.6095 (1.7117)	Prec@1 60.000 (54.355)	Prec@5 83.000 (83.385)
Epoch: [68][5680/9018]	Time 0.609 (0.624)	Data 0.002 (0.004)	Loss 1.6281 (1.7117)	Prec@1 57.000 (54.354)	Prec@5 85.000 (83.385)
Epoch: [68][5690/9018]	Time 0.616 (0.624)	Data 0.055 (0.004)	Loss 1.7450 (1.7117)	Prec@1 53.500 (54.354)	Prec@5 82.000 (83.385)
Epoch: [68][5700/9018]	Time 0.627 (0.624)	Data 0.001 (0.004)	Loss 1.7329 (1.7117)	Prec@1 54.500 (54.352)	Prec@5 82.000 (83.383)
Epoch: [68][5710/9018]	Time 0.602 (0.624)	Data 0.016 (0.004)	Loss 1.9018 (1.7117)	Prec@1 44.000 (54.350)	Prec@5 80.000 (83.382)
Epoch: [68][5720/9018]	Time 0.608 (0.624)	Data 0.004 (0.004)	Loss 1.5508 (1.7118)	Prec@1 58.000 (54.349)	Prec@5 87.000 (83.383)
Epoch: [68][5730/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.5995 (1.7118)	Prec@1 60.500 (54.350)	Prec@5 84.000 (83.381)
Epoch: [68][5740/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.7009 (1.7119)	Prec@1 51.500 (54.350)	Prec@5 84.000 (83.380)
Epoch: [68][5750/9018]	Time 0.652 (0.624)	Data 0.001 (0.004)	Loss 1.6926 (1.7119)	Prec@1 54.000 (54.350)	Prec@5 85.000 (83.381)
Epoch: [68][5760/9018]	Time 0.610 (0.624)	Data 0.015 (0.004)	Loss 1.8155 (1.7119)	Prec@1 50.500 (54.349)	Prec@5 82.500 (83.381)
Epoch: [68][5770/9018]	Time 0.627 (0.624)	Data 0.001 (0.004)	Loss 1.8457 (1.7119)	Prec@1 52.500 (54.349)	Prec@5 80.500 (83.381)
Epoch: [68][5780/9018]	Time 0.635 (0.624)	Data 0.002 (0.004)	Loss 1.7162 (1.7119)	Prec@1 52.500 (54.350)	Prec@5 83.500 (83.379)
Epoch: [68][5790/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.5653 (1.7119)	Prec@1 58.500 (54.349)	Prec@5 85.500 (83.378)
Epoch: [68][5800/9018]	Time 0.592 (0.624)	Data 0.001 (0.004)	Loss 1.7256 (1.7120)	Prec@1 53.000 (54.347)	Prec@5 85.500 (83.377)
Epoch: [68][5810/9018]	Time 0.629 (0.624)	Data 0.001 (0.004)	Loss 1.7352 (1.7120)	Prec@1 54.500 (54.347)	Prec@5 82.500 (83.375)
Epoch: [68][5820/9018]	Time 0.611 (0.624)	Data 0.001 (0.004)	Loss 1.5771 (1.7120)	Prec@1 59.500 (54.345)	Prec@5 83.500 (83.373)
Epoch: [68][5830/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.7778 (1.7119)	Prec@1 52.500 (54.345)	Prec@5 81.500 (83.376)
Epoch: [68][5840/9018]	Time 0.592 (0.624)	Data 0.001 (0.004)	Loss 1.6289 (1.7120)	Prec@1 59.000 (54.345)	Prec@5 86.000 (83.375)
Epoch: [68][5850/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.5584 (1.7119)	Prec@1 58.000 (54.348)	Prec@5 85.000 (83.376)
Epoch: [68][5860/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.5830 (1.7120)	Prec@1 58.500 (54.347)	Prec@5 87.000 (83.377)
Epoch: [68][5870/9018]	Time 0.744 (0.624)	Data 0.001 (0.004)	Loss 1.7485 (1.7120)	Prec@1 52.000 (54.345)	Prec@5 83.500 (83.377)
Epoch: [68][5880/9018]	Time 0.638 (0.624)	Data 0.001 (0.004)	Loss 1.7016 (1.7120)	Prec@1 50.500 (54.344)	Prec@5 84.500 (83.376)
Epoch: [68][5890/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.7829 (1.7121)	Prec@1 53.000 (54.343)	Prec@5 84.500 (83.377)
Epoch: [68][5900/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.9604 (1.7121)	Prec@1 51.500 (54.343)	Prec@5 78.500 (83.376)
Epoch: [68][5910/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.6255 (1.7120)	Prec@1 54.500 (54.341)	Prec@5 86.000 (83.378)
Epoch: [68][5920/9018]	Time 0.730 (0.624)	Data 0.001 (0.004)	Loss 1.6741 (1.7120)	Prec@1 56.500 (54.340)	Prec@5 84.000 (83.378)
Epoch: [68][5930/9018]	Time 0.622 (0.624)	Data 0.001 (0.004)	Loss 1.9072 (1.7120)	Prec@1 52.000 (54.338)	Prec@5 79.000 (83.376)
Epoch: [68][5940/9018]	Time 0.618 (0.624)	Data 0.017 (0.004)	Loss 1.6174 (1.7119)	Prec@1 57.500 (54.340)	Prec@5 83.500 (83.378)
Epoch: [68][5950/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.8233 (1.7119)	Prec@1 51.000 (54.340)	Prec@5 79.000 (83.378)
Epoch: [68][5960/9018]	Time 0.592 (0.624)	Data 0.001 (0.004)	Loss 1.4336 (1.7119)	Prec@1 63.000 (54.339)	Prec@5 85.500 (83.379)
Epoch: [68][5970/9018]	Time 0.638 (0.624)	Data 0.018 (0.004)	Loss 1.8800 (1.7118)	Prec@1 51.500 (54.340)	Prec@5 78.500 (83.379)
Epoch: [68][5980/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.6854 (1.7119)	Prec@1 56.000 (54.339)	Prec@5 83.000 (83.376)
Epoch: [68][5990/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.6442 (1.7118)	Prec@1 55.000 (54.345)	Prec@5 86.500 (83.377)
Epoch: [68][6000/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.5242 (1.7119)	Prec@1 59.000 (54.345)	Prec@5 90.000 (83.376)
Epoch: [68][6010/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.6820 (1.7119)	Prec@1 56.500 (54.346)	Prec@5 82.500 (83.375)
Epoch: [68][6020/9018]	Time 0.622 (0.624)	Data 0.007 (0.004)	Loss 1.5723 (1.7119)	Prec@1 57.000 (54.347)	Prec@5 84.500 (83.375)
Epoch: [68][6030/9018]	Time 0.630 (0.624)	Data 0.021 (0.004)	Loss 1.7366 (1.7119)	Prec@1 48.000 (54.345)	Prec@5 83.500 (83.374)
Epoch: [68][6040/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.6173 (1.7119)	Prec@1 59.000 (54.347)	Prec@5 84.000 (83.372)
Epoch: [68][6050/9018]	Time 0.624 (0.624)	Data 0.002 (0.004)	Loss 1.8304 (1.7120)	Prec@1 52.000 (54.348)	Prec@5 82.000 (83.373)
Epoch: [68][6060/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 1.7463 (1.7120)	Prec@1 51.500 (54.347)	Prec@5 83.500 (83.373)
Epoch: [68][6070/9018]	Time 0.630 (0.624)	Data 0.001 (0.004)	Loss 1.6344 (1.7120)	Prec@1 54.000 (54.346)	Prec@5 83.000 (83.371)
Epoch: [68][6080/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.7316 (1.7121)	Prec@1 50.500 (54.346)	Prec@5 83.500 (83.371)
Epoch: [68][6090/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.6708 (1.7120)	Prec@1 53.000 (54.344)	Prec@5 86.500 (83.374)
Epoch: [68][6100/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.8161 (1.7122)	Prec@1 54.000 (54.342)	Prec@5 79.500 (83.372)
Epoch: [68][6110/9018]	Time 0.633 (0.624)	Data 0.001 (0.004)	Loss 1.5788 (1.7122)	Prec@1 62.000 (54.343)	Prec@5 86.500 (83.371)
Epoch: [68][6120/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.5635 (1.7122)	Prec@1 59.500 (54.343)	Prec@5 87.000 (83.372)
Epoch: [68][6130/9018]	Time 0.614 (0.624)	Data 0.002 (0.004)	Loss 1.9316 (1.7123)	Prec@1 51.500 (54.342)	Prec@5 77.000 (83.369)
Epoch: [68][6140/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.7140 (1.7122)	Prec@1 51.000 (54.343)	Prec@5 86.500 (83.372)
Epoch: [68][6150/9018]	Time 0.591 (0.624)	Data 0.001 (0.004)	Loss 1.9028 (1.7122)	Prec@1 48.500 (54.339)	Prec@5 83.000 (83.372)
Epoch: [68][6160/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.5748 (1.7122)	Prec@1 60.000 (54.342)	Prec@5 85.500 (83.370)
Epoch: [68][6170/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.7850 (1.7122)	Prec@1 50.000 (54.341)	Prec@5 81.500 (83.367)
Epoch: [68][6180/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.8215 (1.7122)	Prec@1 50.500 (54.343)	Prec@5 81.000 (83.369)
Epoch: [68][6190/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.6404 (1.7121)	Prec@1 54.000 (54.343)	Prec@5 85.500 (83.371)
Epoch: [68][6200/9018]	Time 0.774 (0.624)	Data 0.011 (0.004)	Loss 1.6994 (1.7121)	Prec@1 55.500 (54.345)	Prec@5 86.500 (83.373)
Epoch: [68][6210/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 1.7406 (1.7121)	Prec@1 53.000 (54.341)	Prec@5 81.500 (83.371)
Epoch: [68][6220/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.8602 (1.7122)	Prec@1 53.000 (54.340)	Prec@5 79.000 (83.369)
Epoch: [68][6230/9018]	Time 0.631 (0.624)	Data 0.001 (0.004)	Loss 1.6940 (1.7122)	Prec@1 56.500 (54.341)	Prec@5 82.500 (83.369)
Epoch: [68][6240/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.8363 (1.7123)	Prec@1 53.500 (54.339)	Prec@5 80.000 (83.366)
Epoch: [68][6250/9018]	Time 0.738 (0.624)	Data 0.001 (0.004)	Loss 1.6308 (1.7123)	Prec@1 54.500 (54.339)	Prec@5 85.000 (83.365)
Epoch: [68][6260/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.7594 (1.7123)	Prec@1 53.500 (54.337)	Prec@5 82.000 (83.364)
Epoch: [68][6270/9018]	Time 0.600 (0.624)	Data 0.016 (0.004)	Loss 1.7141 (1.7124)	Prec@1 52.500 (54.336)	Prec@5 81.000 (83.363)
Epoch: [68][6280/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.6774 (1.7124)	Prec@1 55.000 (54.336)	Prec@5 84.500 (83.363)
Epoch: [68][6290/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.7815 (1.7124)	Prec@1 54.000 (54.337)	Prec@5 82.500 (83.364)
Epoch: [68][6300/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.6266 (1.7122)	Prec@1 58.500 (54.340)	Prec@5 83.000 (83.365)
Epoch: [68][6310/9018]	Time 0.627 (0.624)	Data 0.001 (0.004)	Loss 1.6084 (1.7122)	Prec@1 52.000 (54.340)	Prec@5 87.500 (83.366)
Epoch: [68][6320/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.8871 (1.7123)	Prec@1 50.500 (54.338)	Prec@5 78.000 (83.364)
Epoch: [68][6330/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.8232 (1.7122)	Prec@1 51.000 (54.337)	Prec@5 84.000 (83.363)
Epoch: [68][6340/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.8659 (1.7122)	Prec@1 52.500 (54.337)	Prec@5 81.000 (83.364)
Epoch: [68][6350/9018]	Time 0.626 (0.624)	Data 0.001 (0.004)	Loss 1.6995 (1.7122)	Prec@1 53.500 (54.338)	Prec@5 85.000 (83.364)
Epoch: [68][6360/9018]	Time 0.612 (0.624)	Data 0.002 (0.004)	Loss 1.8084 (1.7123)	Prec@1 55.500 (54.336)	Prec@5 78.000 (83.361)
Epoch: [68][6370/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.8295 (1.7123)	Prec@1 51.500 (54.335)	Prec@5 80.000 (83.361)
Epoch: [68][6380/9018]	Time 0.628 (0.624)	Data 0.001 (0.004)	Loss 1.6601 (1.7123)	Prec@1 58.000 (54.335)	Prec@5 84.500 (83.361)
Epoch: [68][6390/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.7879 (1.7123)	Prec@1 55.500 (54.333)	Prec@5 80.500 (83.361)
Epoch: [68][6400/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.6874 (1.7124)	Prec@1 54.000 (54.330)	Prec@5 84.500 (83.359)
Epoch: [68][6410/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.7100 (1.7124)	Prec@1 53.000 (54.328)	Prec@5 83.500 (83.359)
Epoch: [68][6420/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.7522 (1.7123)	Prec@1 55.500 (54.329)	Prec@5 81.500 (83.359)
Epoch: [68][6430/9018]	Time 0.628 (0.624)	Data 0.001 (0.004)	Loss 1.6322 (1.7123)	Prec@1 56.500 (54.327)	Prec@5 85.000 (83.359)
Epoch: [68][6440/9018]	Time 0.635 (0.624)	Data 0.001 (0.004)	Loss 1.9230 (1.7123)	Prec@1 51.500 (54.328)	Prec@5 81.000 (83.360)
Epoch: [68][6450/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.6345 (1.7123)	Prec@1 55.000 (54.329)	Prec@5 81.500 (83.360)
Epoch: [68][6460/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.6648 (1.7124)	Prec@1 56.000 (54.325)	Prec@5 83.500 (83.361)
Epoch: [68][6470/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.8027 (1.7123)	Prec@1 54.000 (54.330)	Prec@5 81.500 (83.360)
Epoch: [68][6480/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.7581 (1.7123)	Prec@1 50.500 (54.330)	Prec@5 81.000 (83.358)
Epoch: [68][6490/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.6569 (1.7123)	Prec@1 55.500 (54.331)	Prec@5 85.500 (83.357)
Epoch: [68][6500/9018]	Time 0.629 (0.624)	Data 0.017 (0.004)	Loss 1.7142 (1.7124)	Prec@1 57.500 (54.328)	Prec@5 82.500 (83.356)
Epoch: [68][6510/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.9024 (1.7125)	Prec@1 53.000 (54.325)	Prec@5 79.000 (83.353)
Epoch: [68][6520/9018]	Time 0.627 (0.624)	Data 0.002 (0.004)	Loss 1.9529 (1.7125)	Prec@1 55.000 (54.327)	Prec@5 81.000 (83.354)
Epoch: [68][6530/9018]	Time 0.772 (0.624)	Data 0.001 (0.004)	Loss 1.7789 (1.7126)	Prec@1 51.500 (54.325)	Prec@5 83.500 (83.352)
Epoch: [68][6540/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.9041 (1.7127)	Prec@1 50.500 (54.324)	Prec@5 79.500 (83.351)
Epoch: [68][6550/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.7588 (1.7127)	Prec@1 56.000 (54.321)	Prec@5 81.500 (83.350)
Epoch: [68][6560/9018]	Time 0.636 (0.624)	Data 0.001 (0.004)	Loss 1.8351 (1.7127)	Prec@1 50.000 (54.321)	Prec@5 81.500 (83.349)
Epoch: [68][6570/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.8779 (1.7127)	Prec@1 48.500 (54.321)	Prec@5 83.000 (83.350)
Epoch: [68][6580/9018]	Time 0.793 (0.624)	Data 0.001 (0.004)	Loss 1.6781 (1.7128)	Prec@1 55.500 (54.319)	Prec@5 83.000 (83.348)
Epoch: [68][6590/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.8411 (1.7127)	Prec@1 50.000 (54.321)	Prec@5 83.000 (83.350)
Epoch: [68][6600/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.6366 (1.7126)	Prec@1 55.000 (54.321)	Prec@5 86.500 (83.352)
Epoch: [68][6610/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.8064 (1.7127)	Prec@1 56.000 (54.319)	Prec@5 79.000 (83.349)
Epoch: [68][6620/9018]	Time 0.633 (0.624)	Data 0.001 (0.004)	Loss 1.9573 (1.7128)	Prec@1 51.500 (54.318)	Prec@5 80.500 (83.348)
Epoch: [68][6630/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.5034 (1.7128)	Prec@1 62.500 (54.317)	Prec@5 86.500 (83.349)
Epoch: [68][6640/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.6833 (1.7128)	Prec@1 57.000 (54.317)	Prec@5 82.000 (83.349)
Epoch: [68][6650/9018]	Time 0.646 (0.624)	Data 0.001 (0.004)	Loss 1.7230 (1.7128)	Prec@1 55.000 (54.318)	Prec@5 82.500 (83.351)
Epoch: [68][6660/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.8207 (1.7128)	Prec@1 54.000 (54.317)	Prec@5 81.000 (83.351)
Epoch: [68][6670/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.7292 (1.7128)	Prec@1 57.500 (54.316)	Prec@5 81.000 (83.349)
Epoch: [68][6680/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.8060 (1.7128)	Prec@1 51.500 (54.316)	Prec@5 83.500 (83.350)
Epoch: [68][6690/9018]	Time 0.590 (0.624)	Data 0.001 (0.004)	Loss 1.6051 (1.7129)	Prec@1 57.500 (54.314)	Prec@5 85.000 (83.348)
Epoch: [68][6700/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.7599 (1.7130)	Prec@1 55.000 (54.312)	Prec@5 79.000 (83.345)
Epoch: [68][6710/9018]	Time 0.606 (0.624)	Data 0.015 (0.004)	Loss 1.7175 (1.7131)	Prec@1 53.500 (54.310)	Prec@5 85.500 (83.344)
Epoch: [68][6720/9018]	Time 0.601 (0.624)	Data 0.007 (0.004)	Loss 1.8149 (1.7131)	Prec@1 53.500 (54.309)	Prec@5 81.000 (83.343)
Epoch: [68][6730/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.5866 (1.7132)	Prec@1 53.000 (54.306)	Prec@5 85.500 (83.342)
Epoch: [68][6740/9018]	Time 0.625 (0.624)	Data 0.001 (0.004)	Loss 1.7326 (1.7132)	Prec@1 52.000 (54.306)	Prec@5 84.500 (83.343)
Epoch: [68][6750/9018]	Time 0.644 (0.624)	Data 0.001 (0.004)	Loss 1.6061 (1.7132)	Prec@1 61.000 (54.307)	Prec@5 86.000 (83.344)
Epoch: [68][6760/9018]	Time 0.634 (0.624)	Data 0.001 (0.004)	Loss 1.7050 (1.7132)	Prec@1 53.500 (54.304)	Prec@5 82.500 (83.344)
Epoch: [68][6770/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.7142 (1.7132)	Prec@1 54.000 (54.304)	Prec@5 83.000 (83.344)
Epoch: [68][6780/9018]	Time 0.606 (0.624)	Data 0.013 (0.004)	Loss 1.7227 (1.7133)	Prec@1 55.500 (54.303)	Prec@5 85.500 (83.344)
Epoch: [68][6790/9018]	Time 0.632 (0.624)	Data 0.001 (0.004)	Loss 1.7513 (1.7132)	Prec@1 53.500 (54.305)	Prec@5 84.000 (83.345)
Epoch: [68][6800/9018]	Time 0.617 (0.624)	Data 0.007 (0.004)	Loss 1.7056 (1.7132)	Prec@1 54.500 (54.306)	Prec@5 83.000 (83.344)
Epoch: [68][6810/9018]	Time 0.612 (0.624)	Data 0.014 (0.004)	Loss 1.8663 (1.7134)	Prec@1 51.500 (54.304)	Prec@5 79.000 (83.341)
Epoch: [68][6820/9018]	Time 0.611 (0.624)	Data 0.020 (0.004)	Loss 2.0187 (1.7133)	Prec@1 49.000 (54.303)	Prec@5 75.000 (83.340)
Epoch: [68][6830/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.8841 (1.7134)	Prec@1 54.500 (54.301)	Prec@5 80.000 (83.339)
Epoch: [68][6840/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.7815 (1.7135)	Prec@1 53.500 (54.300)	Prec@5 83.000 (83.338)
Epoch: [68][6850/9018]	Time 0.619 (0.624)	Data 0.016 (0.004)	Loss 1.8134 (1.7134)	Prec@1 51.000 (54.299)	Prec@5 81.000 (83.338)
Epoch: [68][6860/9018]	Time 0.750 (0.624)	Data 0.001 (0.004)	Loss 1.7967 (1.7134)	Prec@1 50.500 (54.299)	Prec@5 84.000 (83.339)
Epoch: [68][6870/9018]	Time 0.629 (0.624)	Data 0.001 (0.004)	Loss 1.7635 (1.7136)	Prec@1 51.500 (54.295)	Prec@5 84.000 (83.337)
Epoch: [68][6880/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.4699 (1.7135)	Prec@1 62.000 (54.298)	Prec@5 86.500 (83.337)
Epoch: [68][6890/9018]	Time 0.606 (0.624)	Data 0.017 (0.004)	Loss 1.8580 (1.7135)	Prec@1 53.500 (54.298)	Prec@5 78.500 (83.336)
Epoch: [68][6900/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.7381 (1.7136)	Prec@1 55.000 (54.297)	Prec@5 82.500 (83.334)
Epoch: [68][6910/9018]	Time 0.751 (0.624)	Data 0.001 (0.004)	Loss 1.8514 (1.7135)	Prec@1 54.000 (54.299)	Prec@5 80.500 (83.336)
Epoch: [68][6920/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.7388 (1.7136)	Prec@1 53.500 (54.296)	Prec@5 81.000 (83.334)
Epoch: [68][6930/9018]	Time 0.638 (0.624)	Data 0.001 (0.004)	Loss 1.8276 (1.7136)	Prec@1 49.500 (54.296)	Prec@5 83.500 (83.336)
Epoch: [68][6940/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.6341 (1.7137)	Prec@1 58.500 (54.295)	Prec@5 84.500 (83.335)
Epoch: [68][6950/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.7268 (1.7137)	Prec@1 55.000 (54.293)	Prec@5 82.000 (83.334)
Epoch: [68][6960/9018]	Time 0.625 (0.624)	Data 0.001 (0.004)	Loss 1.6611 (1.7137)	Prec@1 52.500 (54.294)	Prec@5 83.500 (83.333)
Epoch: [68][6970/9018]	Time 0.601 (0.624)	Data 0.014 (0.004)	Loss 1.7324 (1.7137)	Prec@1 58.000 (54.297)	Prec@5 83.500 (83.333)
Epoch: [68][6980/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.8634 (1.7136)	Prec@1 50.500 (54.297)	Prec@5 79.500 (83.334)
Epoch: [68][6990/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.7216 (1.7137)	Prec@1 54.000 (54.295)	Prec@5 83.500 (83.334)
Epoch: [68][7000/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.7726 (1.7136)	Prec@1 51.000 (54.297)	Prec@5 82.500 (83.336)
Epoch: [68][7010/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.5747 (1.7135)	Prec@1 55.000 (54.298)	Prec@5 84.000 (83.336)
Epoch: [68][7020/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.5829 (1.7135)	Prec@1 56.500 (54.299)	Prec@5 84.000 (83.337)
Epoch: [68][7030/9018]	Time 0.608 (0.624)	Data 0.007 (0.004)	Loss 1.6321 (1.7134)	Prec@1 54.000 (54.300)	Prec@5 83.500 (83.337)
Epoch: [68][7040/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.6720 (1.7135)	Prec@1 50.500 (54.298)	Prec@5 84.000 (83.335)
Epoch: [68][7050/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.4605 (1.7134)	Prec@1 59.000 (54.299)	Prec@5 87.000 (83.336)
Epoch: [68][7060/9018]	Time 0.590 (0.624)	Data 0.001 (0.004)	Loss 1.6048 (1.7134)	Prec@1 51.500 (54.299)	Prec@5 87.000 (83.338)
Epoch: [68][7070/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.7401 (1.7134)	Prec@1 51.500 (54.299)	Prec@5 84.500 (83.339)
Epoch: [68][7080/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.7469 (1.7134)	Prec@1 52.000 (54.301)	Prec@5 81.500 (83.338)
Epoch: [68][7090/9018]	Time 0.636 (0.624)	Data 0.001 (0.004)	Loss 1.6676 (1.7133)	Prec@1 54.500 (54.302)	Prec@5 87.500 (83.339)
Epoch: [68][7100/9018]	Time 0.611 (0.624)	Data 0.001 (0.004)	Loss 1.6155 (1.7134)	Prec@1 57.000 (54.300)	Prec@5 84.500 (83.337)
Epoch: [68][7110/9018]	Time 0.616 (0.624)	Data 0.002 (0.004)	Loss 1.6919 (1.7134)	Prec@1 53.000 (54.299)	Prec@5 84.000 (83.338)
Epoch: [68][7120/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 2.0185 (1.7135)	Prec@1 47.000 (54.296)	Prec@5 79.000 (83.337)
Epoch: [68][7130/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.6660 (1.7135)	Prec@1 55.000 (54.297)	Prec@5 82.000 (83.336)
Epoch: [68][7140/9018]	Time 0.602 (0.624)	Data 0.002 (0.004)	Loss 1.5990 (1.7135)	Prec@1 56.000 (54.296)	Prec@5 87.000 (83.335)
Epoch: [68][7150/9018]	Time 0.651 (0.624)	Data 0.001 (0.004)	Loss 1.6443 (1.7135)	Prec@1 56.500 (54.298)	Prec@5 81.500 (83.336)
Epoch: [68][7160/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.6691 (1.7135)	Prec@1 56.000 (54.296)	Prec@5 85.000 (83.337)
Epoch: [68][7170/9018]	Time 0.594 (0.624)	Data 0.007 (0.004)	Loss 1.6800 (1.7135)	Prec@1 54.500 (54.298)	Prec@5 83.000 (83.337)
Epoch: [68][7180/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.6835 (1.7135)	Prec@1 60.000 (54.298)	Prec@5 84.000 (83.337)
Epoch: [68][7190/9018]	Time 0.751 (0.624)	Data 0.001 (0.004)	Loss 1.8025 (1.7135)	Prec@1 53.000 (54.299)	Prec@5 79.000 (83.337)
Epoch: [68][7200/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.7325 (1.7135)	Prec@1 53.500 (54.298)	Prec@5 84.000 (83.337)
Epoch: [68][7210/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.7248 (1.7136)	Prec@1 59.500 (54.296)	Prec@5 85.000 (83.337)
Epoch: [68][7220/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.6440 (1.7136)	Prec@1 54.000 (54.296)	Prec@5 82.500 (83.337)
Epoch: [68][7230/9018]	Time 0.611 (0.624)	Data 0.001 (0.004)	Loss 1.7657 (1.7135)	Prec@1 51.000 (54.294)	Prec@5 82.500 (83.337)
Epoch: [68][7240/9018]	Time 0.762 (0.624)	Data 0.001 (0.004)	Loss 1.7692 (1.7135)	Prec@1 57.000 (54.296)	Prec@5 81.000 (83.339)
Epoch: [68][7250/9018]	Time 0.632 (0.624)	Data 0.001 (0.004)	Loss 1.9564 (1.7136)	Prec@1 51.500 (54.295)	Prec@5 78.500 (83.337)
Epoch: [68][7260/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.5371 (1.7136)	Prec@1 58.500 (54.295)	Prec@5 86.500 (83.338)
Epoch: [68][7270/9018]	Time 0.628 (0.624)	Data 0.012 (0.004)	Loss 1.7717 (1.7137)	Prec@1 55.500 (54.294)	Prec@5 78.500 (83.335)
Epoch: [68][7280/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.7393 (1.7137)	Prec@1 53.000 (54.292)	Prec@5 81.500 (83.335)
Epoch: [68][7290/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.5725 (1.7137)	Prec@1 56.000 (54.293)	Prec@5 87.000 (83.337)
Epoch: [68][7300/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.7195 (1.7138)	Prec@1 51.000 (54.291)	Prec@5 84.500 (83.335)
Epoch: [68][7310/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.5771 (1.7137)	Prec@1 58.500 (54.293)	Prec@5 85.500 (83.335)
Epoch: [68][7320/9018]	Time 0.629 (0.624)	Data 0.002 (0.004)	Loss 1.6499 (1.7137)	Prec@1 59.500 (54.294)	Prec@5 87.500 (83.337)
Epoch: [68][7330/9018]	Time 0.619 (0.624)	Data 0.003 (0.004)	Loss 1.7479 (1.7138)	Prec@1 54.500 (54.290)	Prec@5 79.500 (83.336)
Epoch: [68][7340/9018]	Time 0.610 (0.624)	Data 0.015 (0.004)	Loss 1.7916 (1.7138)	Prec@1 52.500 (54.289)	Prec@5 83.000 (83.336)
Epoch: [68][7350/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.8001 (1.7138)	Prec@1 50.000 (54.289)	Prec@5 82.500 (83.335)
Epoch: [68][7360/9018]	Time 0.618 (0.624)	Data 0.015 (0.004)	Loss 1.4810 (1.7137)	Prec@1 60.500 (54.293)	Prec@5 87.000 (83.337)
Epoch: [68][7370/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.5131 (1.7136)	Prec@1 58.500 (54.294)	Prec@5 85.500 (83.338)
Epoch: [68][7380/9018]	Time 0.656 (0.624)	Data 0.001 (0.004)	Loss 1.6835 (1.7136)	Prec@1 56.500 (54.293)	Prec@5 84.000 (83.337)
Epoch: [68][7390/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.8310 (1.7136)	Prec@1 54.000 (54.294)	Prec@5 79.500 (83.338)
Epoch: [68][7400/9018]	Time 0.618 (0.624)	Data 0.007 (0.004)	Loss 1.6246 (1.7136)	Prec@1 58.500 (54.295)	Prec@5 88.500 (83.340)
Epoch: [68][7410/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.8072 (1.7136)	Prec@1 53.500 (54.294)	Prec@5 81.000 (83.340)
Epoch: [68][7420/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.8874 (1.7136)	Prec@1 51.000 (54.294)	Prec@5 81.500 (83.341)
Epoch: [68][7430/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.7188 (1.7135)	Prec@1 55.500 (54.296)	Prec@5 83.500 (83.342)
Epoch: [68][7440/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.5732 (1.7134)	Prec@1 57.500 (54.298)	Prec@5 84.500 (83.344)
Epoch: [68][7450/9018]	Time 0.594 (0.624)	Data 0.002 (0.004)	Loss 1.6036 (1.7134)	Prec@1 55.500 (54.299)	Prec@5 87.000 (83.346)
Epoch: [68][7460/9018]	Time 0.628 (0.624)	Data 0.001 (0.004)	Loss 1.7565 (1.7134)	Prec@1 53.500 (54.297)	Prec@5 83.000 (83.346)
Epoch: [68][7470/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.7558 (1.7134)	Prec@1 52.500 (54.296)	Prec@5 86.500 (83.346)
Epoch: [68][7480/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.6396 (1.7134)	Prec@1 57.000 (54.297)	Prec@5 84.500 (83.345)
Epoch: [68][7490/9018]	Time 0.626 (0.624)	Data 0.006 (0.004)	Loss 1.8767 (1.7135)	Prec@1 49.500 (54.296)	Prec@5 83.000 (83.345)
Epoch: [68][7500/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 2.0453 (1.7136)	Prec@1 51.000 (54.293)	Prec@5 77.000 (83.344)
Epoch: [68][7510/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.8361 (1.7136)	Prec@1 50.500 (54.293)	Prec@5 79.500 (83.343)
Epoch: [68][7520/9018]	Time 0.731 (0.624)	Data 0.001 (0.004)	Loss 1.8224 (1.7137)	Prec@1 53.000 (54.292)	Prec@5 80.000 (83.340)
Epoch: [68][7530/9018]	Time 0.596 (0.624)	Data 0.002 (0.004)	Loss 1.8176 (1.7137)	Prec@1 54.500 (54.292)	Prec@5 80.000 (83.340)
Epoch: [68][7540/9018]	Time 0.589 (0.624)	Data 0.001 (0.004)	Loss 1.6502 (1.7137)	Prec@1 55.500 (54.293)	Prec@5 85.000 (83.341)
Epoch: [68][7550/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.7114 (1.7138)	Prec@1 55.500 (54.291)	Prec@5 83.000 (83.340)
Epoch: [68][7560/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.8044 (1.7138)	Prec@1 57.500 (54.292)	Prec@5 80.500 (83.341)
Epoch: [68][7570/9018]	Time 0.761 (0.624)	Data 0.001 (0.004)	Loss 1.9539 (1.7138)	Prec@1 51.500 (54.293)	Prec@5 79.500 (83.340)
Epoch: [68][7580/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.7243 (1.7138)	Prec@1 52.500 (54.295)	Prec@5 82.500 (83.341)
Epoch: [68][7590/9018]	Time 0.623 (0.624)	Data 0.001 (0.004)	Loss 1.6182 (1.7138)	Prec@1 55.500 (54.295)	Prec@5 85.000 (83.340)
Epoch: [68][7600/9018]	Time 0.626 (0.624)	Data 0.002 (0.004)	Loss 1.7127 (1.7139)	Prec@1 51.500 (54.295)	Prec@5 83.500 (83.339)
Epoch: [68][7610/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.9185 (1.7140)	Prec@1 54.500 (54.292)	Prec@5 76.000 (83.336)
Epoch: [68][7620/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.7219 (1.7140)	Prec@1 57.500 (54.291)	Prec@5 81.000 (83.335)
Epoch: [68][7630/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.5959 (1.7141)	Prec@1 59.000 (54.288)	Prec@5 82.000 (83.334)
Epoch: [68][7640/9018]	Time 0.631 (0.624)	Data 0.014 (0.004)	Loss 1.6770 (1.7142)	Prec@1 59.000 (54.288)	Prec@5 81.500 (83.332)
Epoch: [68][7650/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.6022 (1.7142)	Prec@1 54.000 (54.286)	Prec@5 83.000 (83.333)
Epoch: [68][7660/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.8440 (1.7142)	Prec@1 51.000 (54.285)	Prec@5 79.500 (83.331)
Epoch: [68][7670/9018]	Time 0.617 (0.624)	Data 0.002 (0.004)	Loss 1.8978 (1.7143)	Prec@1 46.000 (54.285)	Prec@5 76.500 (83.331)
Epoch: [68][7680/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.6351 (1.7142)	Prec@1 55.500 (54.284)	Prec@5 87.500 (83.332)
Epoch: [68][7690/9018]	Time 0.647 (0.624)	Data 0.001 (0.004)	Loss 1.7580 (1.7142)	Prec@1 55.500 (54.284)	Prec@5 83.500 (83.330)
Epoch: [68][7700/9018]	Time 0.625 (0.624)	Data 0.001 (0.004)	Loss 1.6299 (1.7143)	Prec@1 56.000 (54.284)	Prec@5 86.000 (83.331)
Epoch: [68][7710/9018]	Time 0.629 (0.624)	Data 0.001 (0.004)	Loss 1.5296 (1.7141)	Prec@1 57.500 (54.285)	Prec@5 86.500 (83.333)
Epoch: [68][7720/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.6798 (1.7141)	Prec@1 54.000 (54.284)	Prec@5 84.500 (83.334)
Epoch: [68][7730/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.7973 (1.7141)	Prec@1 51.000 (54.283)	Prec@5 80.000 (83.333)
Epoch: [68][7740/9018]	Time 0.599 (0.624)	Data 0.007 (0.004)	Loss 1.8406 (1.7142)	Prec@1 54.000 (54.281)	Prec@5 80.000 (83.333)
Epoch: [68][7750/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.4915 (1.7142)	Prec@1 60.000 (54.279)	Prec@5 84.500 (83.332)
Epoch: [68][7760/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.7112 (1.7142)	Prec@1 53.500 (54.280)	Prec@5 85.000 (83.334)
Epoch: [68][7770/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.7672 (1.7142)	Prec@1 56.000 (54.280)	Prec@5 79.000 (83.332)
Epoch: [68][7780/9018]	Time 0.600 (0.623)	Data 0.001 (0.004)	Loss 1.5015 (1.7142)	Prec@1 62.500 (54.280)	Prec@5 85.500 (83.332)
Epoch: [68][7790/9018]	Time 0.627 (0.624)	Data 0.001 (0.004)	Loss 1.7925 (1.7142)	Prec@1 57.500 (54.280)	Prec@5 80.500 (83.331)
Epoch: [68][7800/9018]	Time 0.623 (0.623)	Data 0.001 (0.004)	Loss 1.6782 (1.7143)	Prec@1 56.000 (54.279)	Prec@5 85.500 (83.330)
Epoch: [68][7810/9018]	Time 0.603 (0.623)	Data 0.001 (0.004)	Loss 1.6323 (1.7143)	Prec@1 54.000 (54.278)	Prec@5 84.500 (83.328)
Epoch: [68][7820/9018]	Time 0.597 (0.623)	Data 0.001 (0.004)	Loss 1.7673 (1.7143)	Prec@1 53.000 (54.278)	Prec@5 80.000 (83.326)
Epoch: [68][7830/9018]	Time 0.604 (0.623)	Data 0.008 (0.004)	Loss 1.6318 (1.7143)	Prec@1 56.000 (54.278)	Prec@5 85.500 (83.327)
Epoch: [68][7840/9018]	Time 0.591 (0.623)	Data 0.001 (0.004)	Loss 1.7892 (1.7143)	Prec@1 55.000 (54.277)	Prec@5 83.000 (83.328)
Epoch: [68][7850/9018]	Time 0.732 (0.623)	Data 0.001 (0.004)	Loss 1.8320 (1.7143)	Prec@1 54.000 (54.278)	Prec@5 80.000 (83.328)
Epoch: [68][7860/9018]	Time 0.601 (0.623)	Data 0.001 (0.004)	Loss 1.6899 (1.7143)	Prec@1 56.000 (54.277)	Prec@5 86.000 (83.327)
Epoch: [68][7870/9018]	Time 0.619 (0.623)	Data 0.001 (0.004)	Loss 1.9128 (1.7144)	Prec@1 50.500 (54.275)	Prec@5 78.500 (83.325)
Epoch: [68][7880/9018]	Time 0.604 (0.623)	Data 0.001 (0.004)	Loss 1.6471 (1.7144)	Prec@1 53.500 (54.276)	Prec@5 83.000 (83.325)
Epoch: [68][7890/9018]	Time 0.613 (0.623)	Data 0.001 (0.004)	Loss 1.6893 (1.7144)	Prec@1 57.500 (54.276)	Prec@5 80.000 (83.324)
Epoch: [68][7900/9018]	Time 0.735 (0.623)	Data 0.001 (0.004)	Loss 1.6653 (1.7145)	Prec@1 58.000 (54.275)	Prec@5 88.000 (83.324)
Epoch: [68][7910/9018]	Time 0.606 (0.623)	Data 0.001 (0.004)	Loss 1.6138 (1.7146)	Prec@1 60.000 (54.275)	Prec@5 83.500 (83.323)
Epoch: [68][7920/9018]	Time 0.594 (0.623)	Data 0.001 (0.004)	Loss 1.7149 (1.7145)	Prec@1 54.500 (54.275)	Prec@5 85.500 (83.324)
Epoch: [68][7930/9018]	Time 0.614 (0.623)	Data 0.001 (0.004)	Loss 2.0292 (1.7146)	Prec@1 47.000 (54.274)	Prec@5 74.000 (83.321)
Epoch: [68][7940/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 1.8481 (1.7146)	Prec@1 50.500 (54.275)	Prec@5 81.000 (83.323)
Epoch: [68][7950/9018]	Time 0.604 (0.623)	Data 0.001 (0.004)	Loss 1.5229 (1.7145)	Prec@1 58.000 (54.277)	Prec@5 86.500 (83.323)
Epoch: [68][7960/9018]	Time 0.592 (0.623)	Data 0.001 (0.004)	Loss 1.6765 (1.7144)	Prec@1 53.000 (54.280)	Prec@5 84.000 (83.324)
Epoch: [68][7970/9018]	Time 0.599 (0.623)	Data 0.001 (0.004)	Loss 1.7597 (1.7144)	Prec@1 56.500 (54.280)	Prec@5 78.500 (83.323)
Epoch: [68][7980/9018]	Time 0.607 (0.623)	Data 0.001 (0.004)	Loss 1.6783 (1.7144)	Prec@1 56.000 (54.280)	Prec@5 84.000 (83.324)
Epoch: [68][7990/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 1.8075 (1.7145)	Prec@1 53.500 (54.278)	Prec@5 81.500 (83.321)
Epoch: [68][8000/9018]	Time 0.596 (0.623)	Data 0.001 (0.004)	Loss 1.6617 (1.7146)	Prec@1 56.000 (54.278)	Prec@5 85.500 (83.321)
Epoch: [68][8010/9018]	Time 0.617 (0.623)	Data 0.016 (0.004)	Loss 1.7515 (1.7145)	Prec@1 53.000 (54.278)	Prec@5 81.000 (83.321)
Epoch: [68][8020/9018]	Time 0.614 (0.623)	Data 0.001 (0.004)	Loss 1.7941 (1.7145)	Prec@1 51.500 (54.279)	Prec@5 82.000 (83.322)
Epoch: [68][8030/9018]	Time 0.604 (0.623)	Data 0.001 (0.004)	Loss 1.8416 (1.7146)	Prec@1 49.000 (54.274)	Prec@5 83.000 (83.320)
Epoch: [68][8040/9018]	Time 0.628 (0.623)	Data 0.001 (0.004)	Loss 1.8120 (1.7146)	Prec@1 52.500 (54.275)	Prec@5 81.500 (83.319)
Epoch: [68][8050/9018]	Time 0.616 (0.623)	Data 0.001 (0.004)	Loss 1.7485 (1.7146)	Prec@1 57.000 (54.277)	Prec@5 82.500 (83.321)
Epoch: [68][8060/9018]	Time 0.608 (0.623)	Data 0.005 (0.004)	Loss 1.7428 (1.7146)	Prec@1 53.500 (54.277)	Prec@5 84.500 (83.322)
Epoch: [68][8070/9018]	Time 0.644 (0.623)	Data 0.001 (0.004)	Loss 1.8150 (1.7146)	Prec@1 51.000 (54.278)	Prec@5 81.500 (83.323)
Epoch: [68][8080/9018]	Time 0.624 (0.623)	Data 0.001 (0.004)	Loss 1.5958 (1.7146)	Prec@1 55.000 (54.278)	Prec@5 84.500 (83.322)
Epoch: [68][8090/9018]	Time 0.592 (0.623)	Data 0.001 (0.004)	Loss 1.6839 (1.7146)	Prec@1 58.000 (54.278)	Prec@5 88.000 (83.321)
Epoch: [68][8100/9018]	Time 0.618 (0.623)	Data 0.001 (0.004)	Loss 1.6596 (1.7146)	Prec@1 56.500 (54.278)	Prec@5 84.000 (83.322)
Epoch: [68][8110/9018]	Time 0.615 (0.623)	Data 0.001 (0.004)	Loss 1.7720 (1.7147)	Prec@1 55.500 (54.276)	Prec@5 83.500 (83.323)
Epoch: [68][8120/9018]	Time 0.591 (0.623)	Data 0.001 (0.004)	Loss 1.7571 (1.7147)	Prec@1 51.500 (54.274)	Prec@5 81.500 (83.322)
Epoch: [68][8130/9018]	Time 0.614 (0.623)	Data 0.001 (0.004)	Loss 1.6640 (1.7147)	Prec@1 53.500 (54.275)	Prec@5 86.000 (83.322)
Epoch: [68][8140/9018]	Time 0.600 (0.623)	Data 0.001 (0.004)	Loss 1.5566 (1.7146)	Prec@1 59.500 (54.277)	Prec@5 85.500 (83.323)
Epoch: [68][8150/9018]	Time 0.612 (0.623)	Data 0.017 (0.004)	Loss 1.8609 (1.7146)	Prec@1 53.000 (54.278)	Prec@5 80.000 (83.323)
Epoch: [68][8160/9018]	Time 0.624 (0.623)	Data 0.001 (0.004)	Loss 1.7218 (1.7146)	Prec@1 61.000 (54.279)	Prec@5 84.500 (83.323)
Epoch: [68][8170/9018]	Time 0.629 (0.623)	Data 0.001 (0.004)	Loss 1.7900 (1.7146)	Prec@1 56.500 (54.277)	Prec@5 81.500 (83.323)
Epoch: [68][8180/9018]	Time 0.755 (0.623)	Data 0.001 (0.004)	Loss 1.7152 (1.7147)	Prec@1 51.000 (54.277)	Prec@5 82.500 (83.322)
Epoch: [68][8190/9018]	Time 0.621 (0.623)	Data 0.001 (0.004)	Loss 1.7522 (1.7147)	Prec@1 54.500 (54.274)	Prec@5 81.500 (83.321)
Epoch: [68][8200/9018]	Time 0.609 (0.623)	Data 0.001 (0.004)	Loss 1.6463 (1.7147)	Prec@1 55.500 (54.275)	Prec@5 87.000 (83.322)
Epoch: [68][8210/9018]	Time 0.606 (0.623)	Data 0.001 (0.004)	Loss 1.5941 (1.7147)	Prec@1 54.000 (54.274)	Prec@5 86.500 (83.322)
Epoch: [68][8220/9018]	Time 0.636 (0.623)	Data 0.001 (0.004)	Loss 1.7058 (1.7147)	Prec@1 52.500 (54.273)	Prec@5 83.000 (83.322)
Epoch: [68][8230/9018]	Time 0.772 (0.623)	Data 0.001 (0.004)	Loss 1.6155 (1.7146)	Prec@1 60.500 (54.275)	Prec@5 87.000 (83.323)
Epoch: [68][8240/9018]	Time 0.591 (0.623)	Data 0.001 (0.004)	Loss 1.5968 (1.7147)	Prec@1 56.500 (54.274)	Prec@5 85.500 (83.322)
Epoch: [68][8250/9018]	Time 0.615 (0.623)	Data 0.001 (0.004)	Loss 1.6509 (1.7146)	Prec@1 50.000 (54.274)	Prec@5 85.500 (83.322)
Epoch: [68][8260/9018]	Time 0.622 (0.623)	Data 0.001 (0.004)	Loss 1.6769 (1.7146)	Prec@1 52.000 (54.275)	Prec@5 84.500 (83.322)
Epoch: [68][8270/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.6752 (1.7147)	Prec@1 57.500 (54.275)	Prec@5 82.500 (83.321)
Epoch: [68][8280/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 1.8627 (1.7147)	Prec@1 51.500 (54.274)	Prec@5 80.500 (83.320)
Epoch: [68][8290/9018]	Time 0.593 (0.623)	Data 0.001 (0.004)	Loss 1.7674 (1.7147)	Prec@1 52.500 (54.273)	Prec@5 80.000 (83.319)
Epoch: [68][8300/9018]	Time 0.607 (0.623)	Data 0.001 (0.004)	Loss 1.7550 (1.7147)	Prec@1 53.500 (54.275)	Prec@5 83.500 (83.319)
Epoch: [68][8310/9018]	Time 0.626 (0.623)	Data 0.001 (0.004)	Loss 1.6473 (1.7147)	Prec@1 55.000 (54.274)	Prec@5 85.000 (83.320)
Epoch: [68][8320/9018]	Time 0.603 (0.623)	Data 0.001 (0.004)	Loss 1.8718 (1.7147)	Prec@1 50.000 (54.275)	Prec@5 82.000 (83.321)
Epoch: [68][8330/9018]	Time 0.626 (0.623)	Data 0.001 (0.004)	Loss 1.6584 (1.7147)	Prec@1 51.500 (54.275)	Prec@5 84.500 (83.321)
Epoch: [68][8340/9018]	Time 0.616 (0.623)	Data 0.001 (0.004)	Loss 1.8031 (1.7147)	Prec@1 52.500 (54.274)	Prec@5 80.500 (83.321)
Epoch: [68][8350/9018]	Time 0.631 (0.623)	Data 0.001 (0.004)	Loss 1.8140 (1.7147)	Prec@1 54.000 (54.275)	Prec@5 83.000 (83.321)
Epoch: [68][8360/9018]	Time 0.603 (0.623)	Data 0.001 (0.004)	Loss 1.6809 (1.7147)	Prec@1 55.000 (54.276)	Prec@5 83.500 (83.322)
Epoch: [68][8370/9018]	Time 0.617 (0.623)	Data 0.001 (0.004)	Loss 1.6780 (1.7147)	Prec@1 54.500 (54.275)	Prec@5 84.000 (83.321)
Epoch: [68][8380/9018]	Time 0.606 (0.623)	Data 0.001 (0.004)	Loss 1.7594 (1.7148)	Prec@1 53.500 (54.274)	Prec@5 84.500 (83.321)
Epoch: [68][8390/9018]	Time 0.618 (0.623)	Data 0.001 (0.004)	Loss 1.6821 (1.7148)	Prec@1 59.500 (54.274)	Prec@5 82.500 (83.321)
Epoch: [68][8400/9018]	Time 0.634 (0.623)	Data 0.001 (0.004)	Loss 1.7481 (1.7148)	Prec@1 51.000 (54.273)	Prec@5 82.500 (83.320)
Epoch: [68][8410/9018]	Time 0.592 (0.623)	Data 0.001 (0.004)	Loss 1.5023 (1.7147)	Prec@1 56.500 (54.276)	Prec@5 88.000 (83.322)
Epoch: [68][8420/9018]	Time 0.598 (0.623)	Data 0.012 (0.004)	Loss 1.9512 (1.7148)	Prec@1 53.000 (54.274)	Prec@5 80.000 (83.321)
Epoch: [68][8430/9018]	Time 0.609 (0.623)	Data 0.001 (0.004)	Loss 1.7240 (1.7148)	Prec@1 56.000 (54.273)	Prec@5 84.500 (83.320)
Epoch: [68][8440/9018]	Time 0.610 (0.623)	Data 0.001 (0.004)	Loss 1.6081 (1.7148)	Prec@1 52.000 (54.272)	Prec@5 88.500 (83.321)
Epoch: [68][8450/9018]	Time 0.598 (0.623)	Data 0.001 (0.004)	Loss 1.7950 (1.7148)	Prec@1 54.500 (54.271)	Prec@5 84.500 (83.322)
Epoch: [68][8460/9018]	Time 0.592 (0.623)	Data 0.001 (0.004)	Loss 1.5895 (1.7148)	Prec@1 61.000 (54.270)	Prec@5 85.500 (83.321)
Epoch: [68][8470/9018]	Time 0.607 (0.623)	Data 0.001 (0.004)	Loss 1.6581 (1.7148)	Prec@1 52.000 (54.269)	Prec@5 84.500 (83.321)
Epoch: [68][8480/9018]	Time 0.618 (0.623)	Data 0.001 (0.004)	Loss 1.6224 (1.7148)	Prec@1 56.500 (54.271)	Prec@5 85.500 (83.322)
Epoch: [68][8490/9018]	Time 0.595 (0.623)	Data 0.001 (0.004)	Loss 1.7202 (1.7148)	Prec@1 59.000 (54.273)	Prec@5 82.500 (83.323)
Epoch: [68][8500/9018]	Time 0.616 (0.623)	Data 0.001 (0.004)	Loss 1.6571 (1.7148)	Prec@1 56.000 (54.273)	Prec@5 81.000 (83.323)
Epoch: [68][8510/9018]	Time 0.718 (0.623)	Data 0.001 (0.004)	Loss 1.8842 (1.7148)	Prec@1 50.500 (54.274)	Prec@5 82.000 (83.322)
Epoch: [68][8520/9018]	Time 0.599 (0.623)	Data 0.001 (0.004)	Loss 1.7341 (1.7149)	Prec@1 55.000 (54.273)	Prec@5 83.000 (83.321)
Epoch: [68][8530/9018]	Time 0.632 (0.623)	Data 0.001 (0.004)	Loss 1.7912 (1.7149)	Prec@1 53.500 (54.272)	Prec@5 82.000 (83.320)
Epoch: [68][8540/9018]	Time 0.616 (0.623)	Data 0.014 (0.004)	Loss 1.5350 (1.7148)	Prec@1 54.500 (54.272)	Prec@5 88.500 (83.320)
Epoch: [68][8550/9018]	Time 0.612 (0.623)	Data 0.001 (0.004)	Loss 1.6387 (1.7148)	Prec@1 54.000 (54.272)	Prec@5 83.000 (83.320)
Epoch: [68][8560/9018]	Time 0.786 (0.623)	Data 0.001 (0.004)	Loss 1.6629 (1.7148)	Prec@1 55.000 (54.273)	Prec@5 85.000 (83.319)
Epoch: [68][8570/9018]	Time 0.588 (0.623)	Data 0.001 (0.004)	Loss 1.6245 (1.7148)	Prec@1 55.500 (54.272)	Prec@5 85.500 (83.319)
Epoch: [68][8580/9018]	Time 0.635 (0.623)	Data 0.001 (0.004)	Loss 1.4662 (1.7148)	Prec@1 63.500 (54.272)	Prec@5 88.500 (83.320)
Epoch: [68][8590/9018]	Time 0.625 (0.623)	Data 0.001 (0.004)	Loss 1.8209 (1.7148)	Prec@1 51.500 (54.272)	Prec@5 83.000 (83.321)
Epoch: [68][8600/9018]	Time 0.606 (0.623)	Data 0.001 (0.004)	Loss 1.7032 (1.7148)	Prec@1 58.500 (54.271)	Prec@5 80.000 (83.320)
Epoch: [68][8610/9018]	Time 0.614 (0.623)	Data 0.001 (0.004)	Loss 1.9762 (1.7149)	Prec@1 45.000 (54.270)	Prec@5 76.500 (83.319)
Epoch: [68][8620/9018]	Time 0.629 (0.623)	Data 0.001 (0.004)	Loss 1.6761 (1.7149)	Prec@1 55.000 (54.271)	Prec@5 84.000 (83.319)
Epoch: [68][8630/9018]	Time 0.608 (0.623)	Data 0.003 (0.004)	Loss 1.8017 (1.7149)	Prec@1 52.000 (54.269)	Prec@5 82.500 (83.320)
Epoch: [68][8640/9018]	Time 0.623 (0.623)	Data 0.001 (0.004)	Loss 1.5441 (1.7149)	Prec@1 55.500 (54.270)	Prec@5 87.000 (83.320)
Epoch: [68][8650/9018]	Time 0.624 (0.623)	Data 0.001 (0.004)	Loss 1.7517 (1.7149)	Prec@1 52.000 (54.270)	Prec@5 82.000 (83.320)
Epoch: [68][8660/9018]	Time 0.621 (0.623)	Data 0.001 (0.004)	Loss 1.9701 (1.7149)	Prec@1 45.000 (54.271)	Prec@5 78.000 (83.320)
Epoch: [68][8670/9018]	Time 0.619 (0.623)	Data 0.001 (0.004)	Loss 1.6963 (1.7149)	Prec@1 51.500 (54.271)	Prec@5 84.000 (83.322)
Epoch: [68][8680/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 1.6068 (1.7147)	Prec@1 58.500 (54.274)	Prec@5 83.500 (83.324)
Epoch: [68][8690/9018]	Time 0.610 (0.623)	Data 0.001 (0.004)	Loss 1.7335 (1.7147)	Prec@1 54.000 (54.274)	Prec@5 84.500 (83.323)
Epoch: [68][8700/9018]	Time 0.600 (0.623)	Data 0.014 (0.003)	Loss 1.6933 (1.7148)	Prec@1 56.500 (54.271)	Prec@5 84.500 (83.323)
Epoch: [68][8710/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7784 (1.7147)	Prec@1 50.500 (54.271)	Prec@5 82.500 (83.323)
Epoch: [68][8720/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7164 (1.7147)	Prec@1 55.500 (54.271)	Prec@5 85.000 (83.324)
Epoch: [68][8730/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.4818 (1.7147)	Prec@1 58.000 (54.271)	Prec@5 89.500 (83.324)
Epoch: [68][8740/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6737 (1.7147)	Prec@1 54.000 (54.271)	Prec@5 82.500 (83.325)
Epoch: [68][8750/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.5676 (1.7146)	Prec@1 56.500 (54.272)	Prec@5 85.000 (83.326)
Epoch: [68][8760/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.6327 (1.7146)	Prec@1 63.000 (54.273)	Prec@5 85.000 (83.328)
Epoch: [68][8770/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8371 (1.7146)	Prec@1 50.500 (54.270)	Prec@5 83.500 (83.328)
Epoch: [68][8780/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7205 (1.7146)	Prec@1 51.500 (54.269)	Prec@5 86.000 (83.328)
Epoch: [68][8790/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.5572 (1.7146)	Prec@1 58.500 (54.267)	Prec@5 82.500 (83.328)
Epoch: [68][8800/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6541 (1.7146)	Prec@1 55.500 (54.267)	Prec@5 86.500 (83.329)
Epoch: [68][8810/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.5359 (1.7145)	Prec@1 61.500 (54.270)	Prec@5 87.500 (83.329)
Epoch: [68][8820/9018]	Time 0.587 (0.623)	Data 0.001 (0.004)	Loss 1.6396 (1.7145)	Prec@1 58.000 (54.268)	Prec@5 85.500 (83.328)
Epoch: [68][8830/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6420 (1.7145)	Prec@1 55.000 (54.269)	Prec@5 83.500 (83.328)
Epoch: [68][8840/9018]	Time 0.723 (0.623)	Data 0.001 (0.003)	Loss 1.7561 (1.7145)	Prec@1 50.500 (54.269)	Prec@5 83.500 (83.328)
Epoch: [68][8850/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6851 (1.7145)	Prec@1 56.000 (54.268)	Prec@5 84.000 (83.328)
Epoch: [68][8860/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6513 (1.7145)	Prec@1 53.500 (54.267)	Prec@5 84.000 (83.328)
Epoch: [68][8870/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7349 (1.7145)	Prec@1 53.000 (54.266)	Prec@5 83.500 (83.328)
Epoch: [68][8880/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.9012 (1.7146)	Prec@1 52.000 (54.263)	Prec@5 83.000 (83.329)
Epoch: [68][8890/9018]	Time 0.743 (0.623)	Data 0.001 (0.003)	Loss 1.5523 (1.7146)	Prec@1 60.500 (54.265)	Prec@5 85.500 (83.327)
Epoch: [68][8900/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7168 (1.7146)	Prec@1 50.500 (54.263)	Prec@5 86.500 (83.327)
Epoch: [68][8910/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7208 (1.7147)	Prec@1 51.500 (54.263)	Prec@5 83.000 (83.327)
Epoch: [68][8920/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6963 (1.7147)	Prec@1 53.000 (54.261)	Prec@5 85.000 (83.326)
Epoch: [68][8930/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.6971 (1.7147)	Prec@1 54.000 (54.262)	Prec@5 85.000 (83.327)
Epoch: [68][8940/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7217 (1.7148)	Prec@1 53.500 (54.260)	Prec@5 83.000 (83.324)
Epoch: [68][8950/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6754 (1.7148)	Prec@1 56.000 (54.261)	Prec@5 84.000 (83.326)
Epoch: [68][8960/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7606 (1.7148)	Prec@1 53.500 (54.262)	Prec@5 82.500 (83.326)
Epoch: [68][8970/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.9853 (1.7148)	Prec@1 48.000 (54.261)	Prec@5 78.500 (83.325)
Epoch: [68][8980/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7979 (1.7149)	Prec@1 54.000 (54.261)	Prec@5 81.000 (83.323)
Epoch: [68][8990/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.8263 (1.7149)	Prec@1 53.500 (54.261)	Prec@5 82.000 (83.323)
Epoch: [68][9000/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8104 (1.7149)	Prec@1 54.000 (54.260)	Prec@5 82.000 (83.323)
Epoch: [68][9010/9018]	Time 0.615 (0.623)	Data 0.000 (0.003)	Loss 1.6108 (1.7150)	Prec@1 53.500 (54.260)	Prec@5 88.000 (83.322)
Test: [0/183]	Time 1.488 (1.488)	Loss 2.4054 (2.4054)	Prec@1 37.000 (37.000)	Prec@5 72.000 (72.000)
Test: [10/183]	Time 0.190 (0.340)	Loss 1.5422 (1.6420)	Prec@1 64.000 (56.227)	Prec@5 86.000 (85.909)
Test: [20/183]	Time 0.312 (0.282)	Loss 1.8817 (1.5844)	Prec@1 50.500 (57.429)	Prec@5 83.500 (86.167)
Test: [30/183]	Time 0.191 (0.256)	Loss 2.1673 (1.6029)	Prec@1 34.500 (56.097)	Prec@5 78.000 (86.274)
Test: [40/183]	Time 0.242 (0.247)	Loss 2.0041 (1.5894)	Prec@1 44.000 (57.012)	Prec@5 82.000 (85.902)
Test: [50/183]	Time 0.185 (0.238)	Loss 1.4469 (1.5662)	Prec@1 60.000 (57.696)	Prec@5 90.000 (86.137)
Test: [60/183]	Time 0.183 (0.233)	Loss 2.1083 (1.6366)	Prec@1 45.500 (55.574)	Prec@5 75.000 (85.262)
Test: [70/183]	Time 0.289 (0.230)	Loss 1.6105 (1.6208)	Prec@1 54.500 (55.725)	Prec@5 86.000 (85.641)
Test: [80/183]	Time 0.189 (0.228)	Loss 1.3891 (1.6074)	Prec@1 55.500 (55.815)	Prec@5 93.500 (85.802)
Test: [90/183]	Time 0.201 (0.226)	Loss 2.2048 (1.6068)	Prec@1 45.000 (55.989)	Prec@5 74.500 (85.830)
Test: [100/183]	Time 0.204 (0.224)	Loss 0.8004 (1.6056)	Prec@1 75.000 (55.960)	Prec@5 95.500 (85.817)
Test: [110/183]	Time 0.191 (0.224)	Loss 0.6699 (1.6096)	Prec@1 83.000 (55.928)	Prec@5 97.000 (85.689)
Test: [120/183]	Time 0.280 (0.222)	Loss 2.0551 (1.6189)	Prec@1 44.000 (55.612)	Prec@5 75.000 (85.653)
Test: [130/183]	Time 0.181 (0.221)	Loss 2.8535 (1.6268)	Prec@1 23.000 (55.405)	Prec@5 74.500 (85.729)
Test: [140/183]	Time 0.202 (0.221)	Loss 1.4295 (1.6174)	Prec@1 65.000 (55.713)	Prec@5 86.000 (85.865)
Test: [150/183]	Time 0.196 (0.219)	Loss 0.6211 (1.6162)	Prec@1 83.500 (55.821)	Prec@5 98.500 (85.930)
Test: [160/183]	Time 0.224 (0.219)	Loss 1.5033 (1.6115)	Prec@1 56.000 (56.037)	Prec@5 86.500 (85.988)
Test: [170/183]	Time 0.242 (0.218)	Loss 2.0203 (1.6267)	Prec@1 39.500 (55.585)	Prec@5 84.500 (85.801)
Test: [180/183]	Time 0.192 (0.217)	Loss 1.9151 (1.6344)	Prec@1 48.000 (55.511)	Prec@5 82.500 (85.660)
 * Prec@1 55.529 Prec@5 85.641
Epoch: [69][0/9018]	Time 3.295 (3.295)	Data 2.580 (2.580)	Loss 1.7125 (1.7125)	Prec@1 54.500 (54.500)	Prec@5 83.000 (83.000)
Epoch: [69][10/9018]	Time 0.611 (0.880)	Data 0.001 (0.237)	Loss 1.6724 (1.6595)	Prec@1 54.000 (54.909)	Prec@5 84.000 (84.500)
Epoch: [69][20/9018]	Time 0.612 (0.761)	Data 0.001 (0.126)	Loss 1.6769 (1.6519)	Prec@1 56.000 (55.310)	Prec@5 85.500 (84.310)
Epoch: [69][30/9018]	Time 0.616 (0.713)	Data 0.001 (0.086)	Loss 1.7492 (1.6612)	Prec@1 53.000 (54.855)	Prec@5 83.000 (84.355)
Epoch: [69][40/9018]	Time 0.609 (0.690)	Data 0.001 (0.065)	Loss 1.6279 (1.6732)	Prec@1 57.500 (54.988)	Prec@5 82.500 (84.354)
Epoch: [69][50/9018]	Time 0.602 (0.674)	Data 0.019 (0.053)	Loss 1.4598 (1.6704)	Prec@1 60.500 (55.255)	Prec@5 88.000 (84.314)
Epoch: [69][60/9018]	Time 0.597 (0.665)	Data 0.001 (0.045)	Loss 1.7159 (1.6750)	Prec@1 53.000 (55.197)	Prec@5 84.500 (84.287)
Epoch: [69][70/9018]	Time 0.618 (0.660)	Data 0.001 (0.040)	Loss 1.6102 (1.6775)	Prec@1 55.000 (55.225)	Prec@5 87.000 (84.155)
Epoch: [69][80/9018]	Time 0.628 (0.655)	Data 0.001 (0.036)	Loss 1.5623 (1.6820)	Prec@1 57.500 (55.031)	Prec@5 87.500 (84.019)
Epoch: [69][90/9018]	Time 0.615 (0.651)	Data 0.001 (0.032)	Loss 1.6049 (1.6886)	Prec@1 56.500 (54.967)	Prec@5 85.000 (83.912)
Epoch: [69][100/9018]	Time 0.608 (0.646)	Data 0.001 (0.029)	Loss 1.9476 (1.6919)	Prec@1 48.500 (54.748)	Prec@5 78.500 (83.822)
Epoch: [69][110/9018]	Time 0.590 (0.644)	Data 0.001 (0.027)	Loss 1.5585 (1.6916)	Prec@1 53.500 (54.869)	Prec@5 86.000 (83.671)
Epoch: [69][120/9018]	Time 0.611 (0.643)	Data 0.001 (0.025)	Loss 1.8141 (1.6942)	Prec@1 55.000 (54.810)	Prec@5 84.000 (83.686)
Epoch: [69][130/9018]	Time 0.627 (0.641)	Data 0.001 (0.023)	Loss 1.6635 (1.6944)	Prec@1 57.000 (54.870)	Prec@5 83.000 (83.695)
Epoch: [69][140/9018]	Time 0.622 (0.639)	Data 0.001 (0.021)	Loss 1.6718 (1.6956)	Prec@1 49.500 (54.777)	Prec@5 84.500 (83.631)
Epoch: [69][150/9018]	Time 0.607 (0.637)	Data 0.001 (0.020)	Loss 1.6314 (1.6990)	Prec@1 51.500 (54.599)	Prec@5 88.500 (83.652)
Epoch: [69][160/9018]	Time 0.602 (0.637)	Data 0.007 (0.019)	Loss 1.7133 (1.7009)	Prec@1 51.000 (54.516)	Prec@5 84.500 (83.640)
Epoch: [69][170/9018]	Time 0.626 (0.636)	Data 0.010 (0.018)	Loss 1.7621 (1.6991)	Prec@1 52.500 (54.468)	Prec@5 85.000 (83.702)
Epoch: [69][180/9018]	Time 0.615 (0.634)	Data 0.001 (0.017)	Loss 1.5856 (1.6969)	Prec@1 57.500 (54.547)	Prec@5 85.000 (83.735)
Epoch: [69][190/9018]	Time 0.603 (0.634)	Data 0.001 (0.017)	Loss 1.5353 (1.6979)	Prec@1 59.500 (54.518)	Prec@5 87.000 (83.728)
Epoch: [69][200/9018]	Time 0.622 (0.633)	Data 0.001 (0.016)	Loss 1.7710 (1.7004)	Prec@1 53.000 (54.488)	Prec@5 83.500 (83.701)
Epoch: [69][210/9018]	Time 0.619 (0.633)	Data 0.001 (0.015)	Loss 1.7587 (1.6998)	Prec@1 51.000 (54.434)	Prec@5 83.000 (83.718)
Epoch: [69][220/9018]	Time 0.599 (0.632)	Data 0.001 (0.015)	Loss 1.6334 (1.6993)	Prec@1 55.000 (54.464)	Prec@5 84.000 (83.715)
Epoch: [69][230/9018]	Time 0.636 (0.631)	Data 0.001 (0.014)	Loss 1.5159 (1.6983)	Prec@1 60.500 (54.494)	Prec@5 83.000 (83.712)
Epoch: [69][240/9018]	Time 0.633 (0.631)	Data 0.001 (0.014)	Loss 1.8191 (1.6978)	Prec@1 52.500 (54.492)	Prec@5 84.000 (83.722)
Epoch: [69][250/9018]	Time 0.752 (0.631)	Data 0.001 (0.013)	Loss 1.7566 (1.6967)	Prec@1 58.000 (54.552)	Prec@5 80.500 (83.745)
Epoch: [69][260/9018]	Time 0.609 (0.630)	Data 0.001 (0.013)	Loss 1.6393 (1.6976)	Prec@1 57.000 (54.513)	Prec@5 84.000 (83.726)
Epoch: [69][270/9018]	Time 0.620 (0.630)	Data 0.001 (0.013)	Loss 1.6963 (1.6968)	Prec@1 55.500 (54.539)	Prec@5 82.000 (83.710)
Epoch: [69][280/9018]	Time 0.640 (0.629)	Data 0.014 (0.012)	Loss 1.5467 (1.6949)	Prec@1 59.000 (54.587)	Prec@5 86.500 (83.722)
Epoch: [69][290/9018]	Time 0.602 (0.630)	Data 0.001 (0.012)	Loss 1.7456 (1.6948)	Prec@1 52.500 (54.570)	Prec@5 84.000 (83.718)
Epoch: [69][300/9018]	Time 0.769 (0.629)	Data 0.001 (0.012)	Loss 1.7742 (1.6947)	Prec@1 55.500 (54.583)	Prec@5 83.500 (83.691)
Epoch: [69][310/9018]	Time 0.645 (0.629)	Data 0.014 (0.012)	Loss 1.7391 (1.6946)	Prec@1 51.000 (54.582)	Prec@5 84.000 (83.693)
Epoch: [69][320/9018]	Time 0.600 (0.629)	Data 0.001 (0.011)	Loss 1.8581 (1.6943)	Prec@1 57.000 (54.603)	Prec@5 78.500 (83.704)
Epoch: [69][330/9018]	Time 0.615 (0.628)	Data 0.001 (0.011)	Loss 1.7264 (1.6934)	Prec@1 54.000 (54.645)	Prec@5 82.000 (83.690)
Epoch: [69][340/9018]	Time 0.601 (0.628)	Data 0.001 (0.011)	Loss 1.8045 (1.6947)	Prec@1 50.000 (54.600)	Prec@5 82.500 (83.652)
Epoch: [69][350/9018]	Time 0.616 (0.628)	Data 0.001 (0.011)	Loss 1.6580 (1.6948)	Prec@1 55.500 (54.594)	Prec@5 84.000 (83.652)
Epoch: [69][360/9018]	Time 0.615 (0.627)	Data 0.001 (0.010)	Loss 1.4602 (1.6936)	Prec@1 64.500 (54.639)	Prec@5 87.000 (83.665)
Epoch: [69][370/9018]	Time 0.617 (0.627)	Data 0.001 (0.010)	Loss 1.8872 (1.6936)	Prec@1 43.500 (54.636)	Prec@5 83.000 (83.671)
Epoch: [69][380/9018]	Time 0.620 (0.626)	Data 0.010 (0.010)	Loss 1.8699 (1.6934)	Prec@1 50.000 (54.655)	Prec@5 79.500 (83.705)
Epoch: [69][390/9018]	Time 0.599 (0.626)	Data 0.001 (0.010)	Loss 1.5455 (1.6941)	Prec@1 51.500 (54.664)	Prec@5 87.000 (83.694)
Epoch: [69][400/9018]	Time 0.620 (0.626)	Data 0.001 (0.010)	Loss 1.7313 (1.6937)	Prec@1 55.000 (54.692)	Prec@5 83.500 (83.695)
Epoch: [69][410/9018]	Time 0.618 (0.626)	Data 0.001 (0.010)	Loss 1.7522 (1.6946)	Prec@1 49.000 (54.657)	Prec@5 84.500 (83.706)
Epoch: [69][420/9018]	Time 0.597 (0.626)	Data 0.001 (0.009)	Loss 1.5159 (1.6941)	Prec@1 60.000 (54.676)	Prec@5 86.000 (83.694)
Epoch: [69][430/9018]	Time 0.627 (0.626)	Data 0.014 (0.009)	Loss 1.5964 (1.6947)	Prec@1 58.500 (54.653)	Prec@5 86.500 (83.708)
Epoch: [69][440/9018]	Time 0.619 (0.626)	Data 0.001 (0.009)	Loss 1.7493 (1.6952)	Prec@1 49.500 (54.645)	Prec@5 83.000 (83.685)
Epoch: [69][450/9018]	Time 0.609 (0.626)	Data 0.002 (0.009)	Loss 1.5941 (1.6958)	Prec@1 57.000 (54.625)	Prec@5 86.000 (83.656)
Epoch: [69][460/9018]	Time 0.618 (0.625)	Data 0.001 (0.009)	Loss 1.7327 (1.6957)	Prec@1 51.000 (54.633)	Prec@5 83.000 (83.645)
Epoch: [69][470/9018]	Time 0.622 (0.625)	Data 0.001 (0.009)	Loss 1.6667 (1.6967)	Prec@1 57.000 (54.608)	Prec@5 84.500 (83.623)
Epoch: [69][480/9018]	Time 0.611 (0.625)	Data 0.001 (0.009)	Loss 1.6458 (1.6976)	Prec@1 52.500 (54.581)	Prec@5 86.500 (83.607)
Epoch: [69][490/9018]	Time 0.603 (0.625)	Data 0.001 (0.008)	Loss 1.7744 (1.6979)	Prec@1 52.000 (54.603)	Prec@5 81.500 (83.594)
Epoch: [69][500/9018]	Time 0.620 (0.625)	Data 0.001 (0.008)	Loss 1.7930 (1.6975)	Prec@1 54.000 (54.623)	Prec@5 84.000 (83.615)
Epoch: [69][510/9018]	Time 0.591 (0.625)	Data 0.001 (0.008)	Loss 1.7871 (1.6968)	Prec@1 53.500 (54.636)	Prec@5 82.500 (83.627)
Epoch: [69][520/9018]	Time 0.610 (0.625)	Data 0.001 (0.008)	Loss 1.5997 (1.6961)	Prec@1 59.000 (54.660)	Prec@5 84.500 (83.638)
Epoch: [69][530/9018]	Time 0.604 (0.624)	Data 0.001 (0.008)	Loss 1.6622 (1.6971)	Prec@1 54.500 (54.665)	Prec@5 83.000 (83.603)
Epoch: [69][540/9018]	Time 0.614 (0.624)	Data 0.001 (0.008)	Loss 1.6530 (1.6969)	Prec@1 54.500 (54.668)	Prec@5 82.500 (83.606)
Epoch: [69][550/9018]	Time 0.636 (0.624)	Data 0.001 (0.008)	Loss 1.5716 (1.6956)	Prec@1 56.000 (54.697)	Prec@5 83.000 (83.619)
Epoch: [69][560/9018]	Time 0.612 (0.624)	Data 0.003 (0.008)	Loss 1.5920 (1.6944)	Prec@1 58.500 (54.723)	Prec@5 83.500 (83.633)
Epoch: [69][570/9018]	Time 0.612 (0.624)	Data 0.001 (0.008)	Loss 1.7523 (1.6941)	Prec@1 53.500 (54.726)	Prec@5 81.000 (83.621)
Epoch: [69][580/9018]	Time 0.746 (0.624)	Data 0.001 (0.008)	Loss 1.7317 (1.6944)	Prec@1 53.000 (54.713)	Prec@5 80.000 (83.610)
Epoch: [69][590/9018]	Time 0.621 (0.624)	Data 0.001 (0.007)	Loss 1.7926 (1.6950)	Prec@1 49.000 (54.701)	Prec@5 81.500 (83.594)
Epoch: [69][600/9018]	Time 0.604 (0.624)	Data 0.001 (0.007)	Loss 1.6205 (1.6947)	Prec@1 54.500 (54.690)	Prec@5 85.000 (83.604)
Epoch: [69][610/9018]	Time 0.620 (0.624)	Data 0.001 (0.007)	Loss 1.6931 (1.6950)	Prec@1 56.000 (54.696)	Prec@5 82.000 (83.593)
Epoch: [69][620/9018]	Time 0.641 (0.624)	Data 0.001 (0.007)	Loss 1.7376 (1.6951)	Prec@1 53.000 (54.690)	Prec@5 83.000 (83.605)
Epoch: [69][630/9018]	Time 0.753 (0.624)	Data 0.002 (0.007)	Loss 1.6625 (1.6957)	Prec@1 54.000 (54.673)	Prec@5 82.500 (83.588)
Epoch: [69][640/9018]	Time 0.635 (0.624)	Data 0.016 (0.007)	Loss 1.4814 (1.6951)	Prec@1 58.500 (54.679)	Prec@5 86.000 (83.602)
Epoch: [69][650/9018]	Time 0.606 (0.624)	Data 0.001 (0.007)	Loss 1.7145 (1.6956)	Prec@1 57.000 (54.676)	Prec@5 84.500 (83.581)
Epoch: [69][660/9018]	Time 0.614 (0.624)	Data 0.017 (0.007)	Loss 1.6968 (1.6950)	Prec@1 56.000 (54.685)	Prec@5 81.000 (83.588)
Epoch: [69][670/9018]	Time 0.609 (0.623)	Data 0.015 (0.007)	Loss 1.9571 (1.6950)	Prec@1 53.000 (54.699)	Prec@5 80.000 (83.607)
Epoch: [69][680/9018]	Time 0.642 (0.624)	Data 0.001 (0.007)	Loss 1.7360 (1.6939)	Prec@1 53.500 (54.730)	Prec@5 81.500 (83.626)
Epoch: [69][690/9018]	Time 0.615 (0.624)	Data 0.001 (0.007)	Loss 1.7847 (1.6945)	Prec@1 55.000 (54.705)	Prec@5 80.000 (83.619)
Epoch: [69][700/9018]	Time 0.595 (0.624)	Data 0.001 (0.007)	Loss 1.7171 (1.6954)	Prec@1 54.500 (54.672)	Prec@5 84.500 (83.603)
Epoch: [69][710/9018]	Time 0.615 (0.623)	Data 0.001 (0.007)	Loss 1.5403 (1.6952)	Prec@1 57.500 (54.698)	Prec@5 88.500 (83.616)
Epoch: [69][720/9018]	Time 0.613 (0.623)	Data 0.001 (0.007)	Loss 1.6621 (1.6957)	Prec@1 57.500 (54.698)	Prec@5 84.000 (83.614)
Epoch: [69][730/9018]	Time 0.613 (0.623)	Data 0.001 (0.007)	Loss 1.5759 (1.6955)	Prec@1 56.500 (54.697)	Prec@5 86.000 (83.616)
Epoch: [69][740/9018]	Time 0.615 (0.623)	Data 0.001 (0.006)	Loss 1.7980 (1.6956)	Prec@1 55.500 (54.713)	Prec@5 79.000 (83.616)
Epoch: [69][750/9018]	Time 0.626 (0.623)	Data 0.001 (0.006)	Loss 1.8438 (1.6961)	Prec@1 50.000 (54.691)	Prec@5 80.500 (83.605)
Epoch: [69][760/9018]	Time 0.603 (0.623)	Data 0.009 (0.006)	Loss 1.6306 (1.6956)	Prec@1 57.500 (54.709)	Prec@5 82.000 (83.607)
Epoch: [69][770/9018]	Time 0.611 (0.623)	Data 0.001 (0.006)	Loss 1.8476 (1.6955)	Prec@1 52.000 (54.710)	Prec@5 81.000 (83.601)
Epoch: [69][780/9018]	Time 0.620 (0.623)	Data 0.017 (0.006)	Loss 1.7156 (1.6960)	Prec@1 51.500 (54.695)	Prec@5 84.500 (83.599)
Epoch: [69][790/9018]	Time 0.613 (0.623)	Data 0.001 (0.006)	Loss 1.7533 (1.6961)	Prec@1 53.000 (54.686)	Prec@5 79.500 (83.597)
Epoch: [69][800/9018]	Time 0.616 (0.623)	Data 0.001 (0.006)	Loss 1.5737 (1.6967)	Prec@1 59.500 (54.667)	Prec@5 85.000 (83.594)
Epoch: [69][810/9018]	Time 0.605 (0.623)	Data 0.014 (0.006)	Loss 1.7081 (1.6960)	Prec@1 53.000 (54.674)	Prec@5 85.000 (83.610)
Epoch: [69][820/9018]	Time 0.614 (0.623)	Data 0.001 (0.006)	Loss 1.7881 (1.6967)	Prec@1 52.000 (54.665)	Prec@5 82.500 (83.597)
Epoch: [69][830/9018]	Time 0.625 (0.623)	Data 0.001 (0.006)	Loss 1.6658 (1.6959)	Prec@1 56.000 (54.682)	Prec@5 83.500 (83.611)
Epoch: [69][840/9018]	Time 0.612 (0.623)	Data 0.001 (0.006)	Loss 1.7910 (1.6968)	Prec@1 52.500 (54.672)	Prec@5 80.000 (83.602)
Epoch: [69][850/9018]	Time 0.598 (0.623)	Data 0.001 (0.006)	Loss 1.6058 (1.6961)	Prec@1 56.500 (54.699)	Prec@5 86.000 (83.619)
Epoch: [69][860/9018]	Time 0.627 (0.623)	Data 0.001 (0.006)	Loss 1.7429 (1.6963)	Prec@1 52.000 (54.700)	Prec@5 84.500 (83.614)
Epoch: [69][870/9018]	Time 0.597 (0.623)	Data 0.001 (0.006)	Loss 1.6678 (1.6970)	Prec@1 52.500 (54.679)	Prec@5 86.000 (83.611)
Epoch: [69][880/9018]	Time 0.601 (0.623)	Data 0.001 (0.006)	Loss 1.5879 (1.6976)	Prec@1 55.000 (54.660)	Prec@5 84.000 (83.608)
Epoch: [69][890/9018]	Time 0.608 (0.623)	Data 0.001 (0.006)	Loss 1.5210 (1.6968)	Prec@1 59.500 (54.684)	Prec@5 89.000 (83.613)
Epoch: [69][900/9018]	Time 0.602 (0.623)	Data 0.001 (0.006)	Loss 1.5649 (1.6974)	Prec@1 58.500 (54.666)	Prec@5 87.500 (83.609)
Epoch: [69][910/9018]	Time 0.734 (0.623)	Data 0.001 (0.006)	Loss 1.6127 (1.6979)	Prec@1 52.500 (54.653)	Prec@5 86.500 (83.598)
Epoch: [69][920/9018]	Time 0.608 (0.623)	Data 0.001 (0.006)	Loss 1.8370 (1.6974)	Prec@1 48.500 (54.654)	Prec@5 81.500 (83.599)
Epoch: [69][930/9018]	Time 0.608 (0.623)	Data 0.001 (0.006)	Loss 1.6460 (1.6974)	Prec@1 57.500 (54.661)	Prec@5 86.000 (83.603)
Epoch: [69][940/9018]	Time 0.609 (0.622)	Data 0.001 (0.006)	Loss 1.5392 (1.6971)	Prec@1 57.000 (54.652)	Prec@5 86.500 (83.613)
Epoch: [69][950/9018]	Time 0.608 (0.622)	Data 0.001 (0.006)	Loss 1.8246 (1.6970)	Prec@1 50.500 (54.648)	Prec@5 80.500 (83.624)
Epoch: [69][960/9018]	Time 0.728 (0.622)	Data 0.001 (0.006)	Loss 1.7354 (1.6972)	Prec@1 55.000 (54.658)	Prec@5 86.500 (83.627)
Epoch: [69][970/9018]	Time 0.603 (0.622)	Data 0.001 (0.006)	Loss 1.4468 (1.6970)	Prec@1 64.000 (54.673)	Prec@5 87.000 (83.625)
Epoch: [69][980/9018]	Time 0.615 (0.622)	Data 0.001 (0.006)	Loss 1.9091 (1.6976)	Prec@1 51.000 (54.659)	Prec@5 80.500 (83.607)
Epoch: [69][990/9018]	Time 0.610 (0.622)	Data 0.001 (0.006)	Loss 1.9456 (1.6975)	Prec@1 52.500 (54.674)	Prec@5 75.000 (83.601)
Epoch: [69][1000/9018]	Time 0.596 (0.622)	Data 0.001 (0.006)	Loss 1.6887 (1.6977)	Prec@1 57.000 (54.666)	Prec@5 83.000 (83.600)
Epoch: [69][1010/9018]	Time 0.634 (0.622)	Data 0.001 (0.005)	Loss 1.7148 (1.6976)	Prec@1 52.500 (54.658)	Prec@5 82.000 (83.596)
Epoch: [69][1020/9018]	Time 0.611 (0.622)	Data 0.001 (0.005)	Loss 1.8708 (1.6980)	Prec@1 47.000 (54.653)	Prec@5 79.000 (83.584)
Epoch: [69][1030/9018]	Time 0.602 (0.622)	Data 0.014 (0.005)	Loss 1.4390 (1.6979)	Prec@1 58.000 (54.654)	Prec@5 86.500 (83.586)
Epoch: [69][1040/9018]	Time 0.591 (0.622)	Data 0.001 (0.005)	Loss 1.6570 (1.6976)	Prec@1 57.500 (54.661)	Prec@5 82.500 (83.585)
Epoch: [69][1050/9018]	Time 0.609 (0.622)	Data 0.001 (0.005)	Loss 1.8840 (1.6973)	Prec@1 55.000 (54.665)	Prec@5 79.500 (83.591)
Epoch: [69][1060/9018]	Time 0.610 (0.622)	Data 0.001 (0.005)	Loss 1.6977 (1.6971)	Prec@1 54.500 (54.673)	Prec@5 83.000 (83.582)
Epoch: [69][1070/9018]	Time 0.618 (0.622)	Data 0.001 (0.005)	Loss 1.6622 (1.6969)	Prec@1 54.500 (54.668)	Prec@5 81.500 (83.585)
Epoch: [69][1080/9018]	Time 0.631 (0.622)	Data 0.015 (0.005)	Loss 1.6276 (1.6967)	Prec@1 54.000 (54.672)	Prec@5 87.000 (83.592)
Epoch: [69][1090/9018]	Time 0.607 (0.622)	Data 0.001 (0.005)	Loss 1.5954 (1.6963)	Prec@1 56.000 (54.692)	Prec@5 84.000 (83.593)
Epoch: [69][1100/9018]	Time 0.615 (0.622)	Data 0.001 (0.005)	Loss 1.8478 (1.6973)	Prec@1 48.500 (54.655)	Prec@5 83.500 (83.587)
Epoch: [69][1110/9018]	Time 0.597 (0.622)	Data 0.001 (0.005)	Loss 1.5642 (1.6974)	Prec@1 56.500 (54.652)	Prec@5 85.000 (83.588)
Epoch: [69][1120/9018]	Time 0.625 (0.622)	Data 0.001 (0.005)	Loss 1.9352 (1.6979)	Prec@1 49.500 (54.636)	Prec@5 79.000 (83.581)
Epoch: [69][1130/9018]	Time 0.594 (0.622)	Data 0.001 (0.005)	Loss 1.6349 (1.6980)	Prec@1 54.500 (54.635)	Prec@5 85.500 (83.575)
Epoch: [69][1140/9018]	Time 0.625 (0.622)	Data 0.016 (0.005)	Loss 1.7064 (1.6980)	Prec@1 54.500 (54.633)	Prec@5 85.000 (83.572)
Epoch: [69][1150/9018]	Time 0.625 (0.622)	Data 0.001 (0.005)	Loss 1.7183 (1.6982)	Prec@1 58.000 (54.629)	Prec@5 81.500 (83.565)
Epoch: [69][1160/9018]	Time 0.616 (0.622)	Data 0.001 (0.005)	Loss 1.7950 (1.6983)	Prec@1 53.000 (54.620)	Prec@5 82.500 (83.566)
Epoch: [69][1170/9018]	Time 0.615 (0.622)	Data 0.001 (0.005)	Loss 1.7653 (1.6986)	Prec@1 51.500 (54.612)	Prec@5 83.000 (83.555)
Epoch: [69][1180/9018]	Time 0.620 (0.622)	Data 0.001 (0.005)	Loss 1.6086 (1.6987)	Prec@1 55.000 (54.610)	Prec@5 86.000 (83.563)
Epoch: [69][1190/9018]	Time 0.622 (0.622)	Data 0.015 (0.005)	Loss 1.7935 (1.6986)	Prec@1 52.000 (54.608)	Prec@5 82.500 (83.560)
Epoch: [69][1200/9018]	Time 0.601 (0.622)	Data 0.001 (0.005)	Loss 1.4709 (1.6986)	Prec@1 59.000 (54.609)	Prec@5 87.000 (83.564)
Epoch: [69][1210/9018]	Time 0.603 (0.622)	Data 0.001 (0.005)	Loss 1.8995 (1.6985)	Prec@1 49.500 (54.626)	Prec@5 83.000 (83.566)
Epoch: [69][1220/9018]	Time 0.624 (0.622)	Data 0.001 (0.005)	Loss 1.6943 (1.6982)	Prec@1 53.000 (54.625)	Prec@5 84.000 (83.568)
Epoch: [69][1230/9018]	Time 0.602 (0.622)	Data 0.001 (0.005)	Loss 1.4773 (1.6977)	Prec@1 57.000 (54.639)	Prec@5 86.500 (83.568)
Epoch: [69][1240/9018]	Time 0.751 (0.622)	Data 0.013 (0.005)	Loss 1.6450 (1.6973)	Prec@1 58.000 (54.644)	Prec@5 84.000 (83.579)
Epoch: [69][1250/9018]	Time 0.630 (0.622)	Data 0.015 (0.005)	Loss 1.6450 (1.6968)	Prec@1 55.000 (54.658)	Prec@5 86.000 (83.588)
Epoch: [69][1260/9018]	Time 0.629 (0.622)	Data 0.001 (0.005)	Loss 1.7069 (1.6969)	Prec@1 56.500 (54.659)	Prec@5 85.000 (83.590)
Epoch: [69][1270/9018]	Time 0.602 (0.622)	Data 0.001 (0.005)	Loss 1.6222 (1.6968)	Prec@1 57.500 (54.653)	Prec@5 82.500 (83.586)
Epoch: [69][1280/9018]	Time 0.615 (0.622)	Data 0.001 (0.005)	Loss 1.6271 (1.6967)	Prec@1 58.500 (54.661)	Prec@5 83.500 (83.587)
Epoch: [69][1290/9018]	Time 0.720 (0.622)	Data 0.001 (0.005)	Loss 1.5416 (1.6968)	Prec@1 61.000 (54.662)	Prec@5 87.500 (83.587)
Epoch: [69][1300/9018]	Time 0.604 (0.622)	Data 0.001 (0.005)	Loss 1.6327 (1.6967)	Prec@1 56.500 (54.678)	Prec@5 83.000 (83.588)
Epoch: [69][1310/9018]	Time 0.606 (0.622)	Data 0.016 (0.005)	Loss 1.8373 (1.6966)	Prec@1 51.000 (54.675)	Prec@5 78.500 (83.586)
Epoch: [69][1320/9018]	Time 0.618 (0.622)	Data 0.001 (0.005)	Loss 1.9325 (1.6963)	Prec@1 48.000 (54.683)	Prec@5 80.000 (83.592)
Epoch: [69][1330/9018]	Time 0.608 (0.622)	Data 0.001 (0.005)	Loss 1.8451 (1.6962)	Prec@1 52.000 (54.682)	Prec@5 78.500 (83.590)
Epoch: [69][1340/9018]	Time 0.626 (0.622)	Data 0.001 (0.005)	Loss 1.4667 (1.6961)	Prec@1 61.000 (54.682)	Prec@5 88.500 (83.594)
Epoch: [69][1350/9018]	Time 0.592 (0.622)	Data 0.001 (0.005)	Loss 1.7248 (1.6963)	Prec@1 54.000 (54.679)	Prec@5 85.000 (83.589)
Epoch: [69][1360/9018]	Time 0.620 (0.622)	Data 0.013 (0.005)	Loss 1.6345 (1.6962)	Prec@1 57.500 (54.683)	Prec@5 83.000 (83.590)
Epoch: [69][1370/9018]	Time 0.615 (0.622)	Data 0.001 (0.005)	Loss 1.5362 (1.6961)	Prec@1 59.500 (54.686)	Prec@5 84.500 (83.587)
Epoch: [69][1380/9018]	Time 0.599 (0.622)	Data 0.001 (0.005)	Loss 1.6722 (1.6964)	Prec@1 55.000 (54.678)	Prec@5 82.000 (83.581)
Epoch: [69][1390/9018]	Time 0.606 (0.622)	Data 0.001 (0.005)	Loss 1.5583 (1.6960)	Prec@1 55.500 (54.680)	Prec@5 86.000 (83.592)
Epoch: [69][1400/9018]	Time 0.605 (0.622)	Data 0.001 (0.005)	Loss 1.5968 (1.6965)	Prec@1 52.500 (54.662)	Prec@5 85.000 (83.581)
Epoch: [69][1410/9018]	Time 0.590 (0.622)	Data 0.001 (0.005)	Loss 1.5286 (1.6964)	Prec@1 58.500 (54.663)	Prec@5 86.500 (83.586)
Epoch: [69][1420/9018]	Time 0.618 (0.622)	Data 0.001 (0.005)	Loss 1.6478 (1.6967)	Prec@1 54.500 (54.644)	Prec@5 85.000 (83.587)
Epoch: [69][1430/9018]	Time 0.622 (0.622)	Data 0.001 (0.005)	Loss 1.5623 (1.6970)	Prec@1 56.000 (54.632)	Prec@5 89.000 (83.582)
Epoch: [69][1440/9018]	Time 0.647 (0.622)	Data 0.001 (0.005)	Loss 1.7289 (1.6969)	Prec@1 54.500 (54.630)	Prec@5 84.000 (83.581)
Epoch: [69][1450/9018]	Time 0.627 (0.622)	Data 0.001 (0.005)	Loss 1.8928 (1.6966)	Prec@1 55.500 (54.642)	Prec@5 77.500 (83.588)
Epoch: [69][1460/9018]	Time 0.590 (0.622)	Data 0.001 (0.005)	Loss 1.6275 (1.6965)	Prec@1 56.000 (54.651)	Prec@5 84.000 (83.590)
Epoch: [69][1470/9018]	Time 0.619 (0.622)	Data 0.001 (0.005)	Loss 1.7203 (1.6969)	Prec@1 57.500 (54.644)	Prec@5 82.000 (83.583)
Epoch: [69][1480/9018]	Time 0.607 (0.622)	Data 0.008 (0.005)	Loss 1.7426 (1.6968)	Prec@1 57.000 (54.657)	Prec@5 81.000 (83.581)
Epoch: [69][1490/9018]	Time 0.649 (0.622)	Data 0.001 (0.005)	Loss 1.9222 (1.6972)	Prec@1 51.000 (54.655)	Prec@5 82.000 (83.572)
Epoch: [69][1500/9018]	Time 0.593 (0.622)	Data 0.013 (0.005)	Loss 1.6645 (1.6970)	Prec@1 58.500 (54.664)	Prec@5 83.000 (83.577)
Epoch: [69][1510/9018]	Time 0.629 (0.622)	Data 0.017 (0.005)	Loss 1.4345 (1.6968)	Prec@1 62.500 (54.666)	Prec@5 88.000 (83.583)
Epoch: [69][1520/9018]	Time 0.634 (0.622)	Data 0.014 (0.005)	Loss 1.6328 (1.6970)	Prec@1 56.500 (54.665)	Prec@5 81.000 (83.575)
Epoch: [69][1530/9018]	Time 0.601 (0.622)	Data 0.001 (0.004)	Loss 1.7437 (1.6967)	Prec@1 55.000 (54.668)	Prec@5 81.500 (83.584)
Epoch: [69][1540/9018]	Time 0.634 (0.622)	Data 0.001 (0.004)	Loss 1.7195 (1.6965)	Prec@1 51.500 (54.666)	Prec@5 81.500 (83.584)
Epoch: [69][1550/9018]	Time 0.637 (0.622)	Data 0.014 (0.004)	Loss 1.7497 (1.6967)	Prec@1 52.500 (54.667)	Prec@5 84.500 (83.578)
Epoch: [69][1560/9018]	Time 0.608 (0.622)	Data 0.001 (0.004)	Loss 1.4419 (1.6966)	Prec@1 57.500 (54.668)	Prec@5 88.000 (83.575)
Epoch: [69][1570/9018]	Time 0.764 (0.622)	Data 0.001 (0.004)	Loss 1.8743 (1.6967)	Prec@1 49.000 (54.666)	Prec@5 81.500 (83.570)
Epoch: [69][1580/9018]	Time 0.599 (0.622)	Data 0.001 (0.004)	Loss 1.8135 (1.6963)	Prec@1 51.000 (54.678)	Prec@5 83.500 (83.575)
Epoch: [69][1590/9018]	Time 0.594 (0.622)	Data 0.014 (0.004)	Loss 1.8389 (1.6965)	Prec@1 50.500 (54.672)	Prec@5 83.000 (83.572)
Epoch: [69][1600/9018]	Time 0.617 (0.622)	Data 0.013 (0.004)	Loss 1.8903 (1.6966)	Prec@1 51.000 (54.670)	Prec@5 81.500 (83.574)
Epoch: [69][1610/9018]	Time 0.637 (0.622)	Data 0.001 (0.004)	Loss 1.7652 (1.6969)	Prec@1 52.500 (54.662)	Prec@5 82.000 (83.570)
Epoch: [69][1620/9018]	Time 0.734 (0.622)	Data 0.001 (0.004)	Loss 1.5412 (1.6969)	Prec@1 59.000 (54.656)	Prec@5 87.500 (83.567)
Epoch: [69][1630/9018]	Time 0.597 (0.621)	Data 0.001 (0.004)	Loss 1.6722 (1.6968)	Prec@1 54.000 (54.658)	Prec@5 84.500 (83.571)
Epoch: [69][1640/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.6129 (1.6970)	Prec@1 53.500 (54.656)	Prec@5 84.000 (83.566)
Epoch: [69][1650/9018]	Time 0.610 (0.621)	Data 0.014 (0.004)	Loss 1.3758 (1.6971)	Prec@1 62.500 (54.659)	Prec@5 88.000 (83.565)
Epoch: [69][1660/9018]	Time 0.611 (0.621)	Data 0.001 (0.004)	Loss 1.7052 (1.6968)	Prec@1 52.500 (54.665)	Prec@5 85.500 (83.572)
Epoch: [69][1670/9018]	Time 0.631 (0.621)	Data 0.001 (0.004)	Loss 1.8285 (1.6970)	Prec@1 50.500 (54.662)	Prec@5 82.500 (83.570)
Epoch: [69][1680/9018]	Time 0.628 (0.621)	Data 0.015 (0.004)	Loss 1.9745 (1.6973)	Prec@1 51.500 (54.660)	Prec@5 78.000 (83.564)
Epoch: [69][1690/9018]	Time 0.603 (0.621)	Data 0.014 (0.004)	Loss 1.6315 (1.6977)	Prec@1 57.000 (54.656)	Prec@5 85.500 (83.553)
Epoch: [69][1700/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.6778 (1.6977)	Prec@1 53.500 (54.652)	Prec@5 82.500 (83.553)
Epoch: [69][1710/9018]	Time 0.655 (0.621)	Data 0.001 (0.004)	Loss 1.6967 (1.6979)	Prec@1 54.500 (54.654)	Prec@5 84.000 (83.550)
Epoch: [69][1720/9018]	Time 0.597 (0.621)	Data 0.001 (0.004)	Loss 1.8462 (1.6982)	Prec@1 52.000 (54.653)	Prec@5 80.500 (83.544)
Epoch: [69][1730/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.6695 (1.6978)	Prec@1 54.000 (54.665)	Prec@5 84.500 (83.553)
Epoch: [69][1740/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.7542 (1.6982)	Prec@1 54.500 (54.658)	Prec@5 84.500 (83.540)
Epoch: [69][1750/9018]	Time 0.625 (0.621)	Data 0.014 (0.004)	Loss 1.6925 (1.6981)	Prec@1 56.500 (54.658)	Prec@5 85.000 (83.540)
Epoch: [69][1760/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.8212 (1.6983)	Prec@1 49.500 (54.653)	Prec@5 81.000 (83.535)
Epoch: [69][1770/9018]	Time 0.619 (0.621)	Data 0.001 (0.004)	Loss 1.8752 (1.6983)	Prec@1 52.500 (54.659)	Prec@5 80.500 (83.536)
Epoch: [69][1780/9018]	Time 0.612 (0.621)	Data 0.005 (0.004)	Loss 1.7742 (1.6987)	Prec@1 51.000 (54.645)	Prec@5 80.500 (83.529)
Epoch: [69][1790/9018]	Time 0.618 (0.621)	Data 0.001 (0.004)	Loss 1.7587 (1.6986)	Prec@1 53.500 (54.637)	Prec@5 83.500 (83.532)
Epoch: [69][1800/9018]	Time 0.599 (0.621)	Data 0.001 (0.004)	Loss 1.5745 (1.6986)	Prec@1 55.000 (54.638)	Prec@5 86.000 (83.535)
Epoch: [69][1810/9018]	Time 0.607 (0.621)	Data 0.004 (0.004)	Loss 1.7055 (1.6985)	Prec@1 60.000 (54.641)	Prec@5 83.500 (83.535)
Epoch: [69][1820/9018]	Time 0.625 (0.621)	Data 0.001 (0.004)	Loss 1.6597 (1.6987)	Prec@1 58.500 (54.638)	Prec@5 83.500 (83.533)
Epoch: [69][1830/9018]	Time 0.608 (0.621)	Data 0.001 (0.004)	Loss 1.7020 (1.6989)	Prec@1 52.000 (54.631)	Prec@5 81.500 (83.526)
Epoch: [69][1840/9018]	Time 0.619 (0.621)	Data 0.008 (0.004)	Loss 1.9312 (1.6991)	Prec@1 51.000 (54.632)	Prec@5 80.000 (83.522)
Epoch: [69][1850/9018]	Time 0.595 (0.621)	Data 0.001 (0.004)	Loss 1.8643 (1.6993)	Prec@1 46.000 (54.619)	Prec@5 82.000 (83.520)
Epoch: [69][1860/9018]	Time 0.595 (0.621)	Data 0.001 (0.004)	Loss 1.7944 (1.6996)	Prec@1 53.500 (54.611)	Prec@5 81.000 (83.513)
Epoch: [69][1870/9018]	Time 0.595 (0.621)	Data 0.001 (0.004)	Loss 1.6637 (1.6996)	Prec@1 56.500 (54.600)	Prec@5 83.500 (83.516)
Epoch: [69][1880/9018]	Time 0.667 (0.621)	Data 0.016 (0.004)	Loss 1.7250 (1.6997)	Prec@1 55.000 (54.596)	Prec@5 84.500 (83.519)
Epoch: [69][1890/9018]	Time 0.615 (0.621)	Data 0.001 (0.004)	Loss 1.6771 (1.6999)	Prec@1 53.000 (54.589)	Prec@5 84.000 (83.520)
Epoch: [69][1900/9018]	Time 0.753 (0.621)	Data 0.001 (0.004)	Loss 1.7140 (1.7001)	Prec@1 55.000 (54.589)	Prec@5 83.000 (83.516)
Epoch: [69][1910/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.5058 (1.6999)	Prec@1 56.000 (54.600)	Prec@5 88.500 (83.521)
Epoch: [69][1920/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.7621 (1.6999)	Prec@1 51.500 (54.602)	Prec@5 80.500 (83.517)
Epoch: [69][1930/9018]	Time 0.602 (0.621)	Data 0.001 (0.004)	Loss 1.5468 (1.6997)	Prec@1 57.500 (54.607)	Prec@5 83.500 (83.520)
Epoch: [69][1940/9018]	Time 0.591 (0.621)	Data 0.001 (0.004)	Loss 1.8621 (1.6997)	Prec@1 52.000 (54.609)	Prec@5 79.000 (83.521)
Epoch: [69][1950/9018]	Time 0.790 (0.621)	Data 0.001 (0.004)	Loss 1.7962 (1.6998)	Prec@1 48.000 (54.604)	Prec@5 83.500 (83.521)
Epoch: [69][1960/9018]	Time 0.633 (0.621)	Data 0.001 (0.004)	Loss 1.6843 (1.6996)	Prec@1 53.000 (54.611)	Prec@5 81.500 (83.521)
Epoch: [69][1970/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.9826 (1.6998)	Prec@1 49.500 (54.604)	Prec@5 77.000 (83.518)
Epoch: [69][1980/9018]	Time 0.606 (0.621)	Data 0.002 (0.004)	Loss 1.7926 (1.6999)	Prec@1 51.000 (54.601)	Prec@5 80.000 (83.521)
Epoch: [69][1990/9018]	Time 0.622 (0.621)	Data 0.015 (0.004)	Loss 1.6598 (1.7000)	Prec@1 58.500 (54.598)	Prec@5 85.500 (83.520)
Epoch: [69][2000/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.6750 (1.7001)	Prec@1 54.000 (54.598)	Prec@5 83.000 (83.515)
Epoch: [69][2010/9018]	Time 0.619 (0.621)	Data 0.001 (0.004)	Loss 1.9192 (1.7002)	Prec@1 50.000 (54.594)	Prec@5 79.000 (83.516)
Epoch: [69][2020/9018]	Time 0.609 (0.621)	Data 0.001 (0.004)	Loss 1.7103 (1.7001)	Prec@1 51.500 (54.592)	Prec@5 83.500 (83.516)
Epoch: [69][2030/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.5902 (1.7003)	Prec@1 61.500 (54.595)	Prec@5 83.000 (83.516)
Epoch: [69][2040/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.8285 (1.7000)	Prec@1 51.500 (54.601)	Prec@5 83.000 (83.516)
Epoch: [69][2050/9018]	Time 0.630 (0.621)	Data 0.001 (0.004)	Loss 1.5290 (1.6999)	Prec@1 63.000 (54.599)	Prec@5 87.000 (83.518)
Epoch: [69][2060/9018]	Time 0.631 (0.621)	Data 0.001 (0.004)	Loss 1.6888 (1.6996)	Prec@1 49.000 (54.603)	Prec@5 86.500 (83.521)
Epoch: [69][2070/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.8422 (1.7000)	Prec@1 48.500 (54.590)	Prec@5 78.000 (83.511)
Epoch: [69][2080/9018]	Time 0.615 (0.621)	Data 0.001 (0.004)	Loss 1.6345 (1.6999)	Prec@1 57.500 (54.596)	Prec@5 83.000 (83.516)
Epoch: [69][2090/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.6113 (1.6998)	Prec@1 60.000 (54.599)	Prec@5 84.500 (83.514)
Epoch: [69][2100/9018]	Time 0.646 (0.621)	Data 0.004 (0.004)	Loss 1.9324 (1.7001)	Prec@1 46.500 (54.588)	Prec@5 79.500 (83.506)
Epoch: [69][2110/9018]	Time 0.630 (0.621)	Data 0.001 (0.004)	Loss 1.6133 (1.7004)	Prec@1 56.000 (54.579)	Prec@5 83.000 (83.503)
Epoch: [69][2120/9018]	Time 0.596 (0.621)	Data 0.015 (0.004)	Loss 1.5897 (1.7006)	Prec@1 59.500 (54.580)	Prec@5 86.000 (83.501)
Epoch: [69][2130/9018]	Time 0.636 (0.621)	Data 0.007 (0.004)	Loss 1.6969 (1.7005)	Prec@1 58.000 (54.584)	Prec@5 82.000 (83.502)
Epoch: [69][2140/9018]	Time 0.624 (0.621)	Data 0.001 (0.004)	Loss 1.7844 (1.7005)	Prec@1 55.000 (54.582)	Prec@5 80.000 (83.503)
Epoch: [69][2150/9018]	Time 0.591 (0.621)	Data 0.001 (0.004)	Loss 1.4828 (1.7007)	Prec@1 61.500 (54.579)	Prec@5 87.000 (83.496)
Epoch: [69][2160/9018]	Time 0.626 (0.621)	Data 0.001 (0.004)	Loss 1.7417 (1.7009)	Prec@1 50.000 (54.573)	Prec@5 83.500 (83.493)
Epoch: [69][2170/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.6839 (1.7010)	Prec@1 51.000 (54.567)	Prec@5 83.500 (83.490)
Epoch: [69][2180/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.6630 (1.7011)	Prec@1 53.500 (54.568)	Prec@5 87.000 (83.491)
Epoch: [69][2190/9018]	Time 0.590 (0.621)	Data 0.001 (0.004)	Loss 1.7261 (1.7012)	Prec@1 56.500 (54.561)	Prec@5 85.500 (83.490)
Epoch: [69][2200/9018]	Time 0.630 (0.621)	Data 0.001 (0.004)	Loss 1.7621 (1.7011)	Prec@1 52.500 (54.564)	Prec@5 81.500 (83.489)
Epoch: [69][2210/9018]	Time 0.627 (0.621)	Data 0.001 (0.004)	Loss 1.6773 (1.7010)	Prec@1 54.500 (54.567)	Prec@5 86.000 (83.491)
Epoch: [69][2220/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.8018 (1.7009)	Prec@1 49.500 (54.568)	Prec@5 83.500 (83.493)
Epoch: [69][2230/9018]	Time 0.727 (0.621)	Data 0.002 (0.004)	Loss 1.6229 (1.7009)	Prec@1 57.000 (54.568)	Prec@5 83.500 (83.493)
Epoch: [69][2240/9018]	Time 0.602 (0.621)	Data 0.001 (0.004)	Loss 1.5034 (1.7007)	Prec@1 61.500 (54.575)	Prec@5 86.000 (83.497)
Epoch: [69][2250/9018]	Time 0.622 (0.621)	Data 0.015 (0.004)	Loss 1.9717 (1.7009)	Prec@1 48.000 (54.567)	Prec@5 81.000 (83.495)
Epoch: [69][2260/9018]	Time 0.595 (0.621)	Data 0.001 (0.004)	Loss 1.6628 (1.7006)	Prec@1 55.000 (54.570)	Prec@5 82.500 (83.506)
Epoch: [69][2270/9018]	Time 0.628 (0.621)	Data 0.005 (0.004)	Loss 1.6872 (1.7007)	Prec@1 54.500 (54.574)	Prec@5 85.500 (83.502)
Epoch: [69][2280/9018]	Time 0.743 (0.621)	Data 0.001 (0.004)	Loss 1.6028 (1.7008)	Prec@1 56.500 (54.569)	Prec@5 86.000 (83.501)
Epoch: [69][2290/9018]	Time 0.597 (0.621)	Data 0.001 (0.004)	Loss 1.4966 (1.7007)	Prec@1 59.000 (54.563)	Prec@5 89.000 (83.507)
Epoch: [69][2300/9018]	Time 0.597 (0.621)	Data 0.001 (0.004)	Loss 1.8164 (1.7007)	Prec@1 49.500 (54.562)	Prec@5 81.500 (83.505)
Epoch: [69][2310/9018]	Time 0.619 (0.621)	Data 0.001 (0.004)	Loss 1.7428 (1.7009)	Prec@1 54.000 (54.560)	Prec@5 83.000 (83.505)
Epoch: [69][2320/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 2.0249 (1.7011)	Prec@1 46.500 (54.555)	Prec@5 80.500 (83.501)
Epoch: [69][2330/9018]	Time 0.629 (0.621)	Data 0.001 (0.004)	Loss 1.6844 (1.7011)	Prec@1 54.000 (54.558)	Prec@5 86.500 (83.501)
Epoch: [69][2340/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 1.6397 (1.7012)	Prec@1 49.500 (54.554)	Prec@5 83.000 (83.497)
Epoch: [69][2350/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.7280 (1.7013)	Prec@1 52.000 (54.549)	Prec@5 82.500 (83.490)
Epoch: [69][2360/9018]	Time 0.618 (0.621)	Data 0.004 (0.004)	Loss 1.6517 (1.7012)	Prec@1 54.000 (54.543)	Prec@5 82.000 (83.491)
Epoch: [69][2370/9018]	Time 0.622 (0.621)	Data 0.016 (0.004)	Loss 1.6874 (1.7012)	Prec@1 55.000 (54.549)	Prec@5 83.500 (83.493)
Epoch: [69][2380/9018]	Time 0.639 (0.621)	Data 0.001 (0.004)	Loss 1.6353 (1.7010)	Prec@1 60.500 (54.555)	Prec@5 87.500 (83.500)
Epoch: [69][2390/9018]	Time 0.610 (0.621)	Data 0.001 (0.004)	Loss 1.8708 (1.7013)	Prec@1 52.500 (54.551)	Prec@5 80.500 (83.492)
Epoch: [69][2400/9018]	Time 0.614 (0.621)	Data 0.001 (0.004)	Loss 1.8120 (1.7014)	Prec@1 54.000 (54.547)	Prec@5 84.000 (83.493)
Epoch: [69][2410/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.5965 (1.7014)	Prec@1 57.500 (54.550)	Prec@5 84.000 (83.494)
Epoch: [69][2420/9018]	Time 0.608 (0.621)	Data 0.001 (0.004)	Loss 1.7278 (1.7014)	Prec@1 53.500 (54.542)	Prec@5 83.000 (83.495)
Epoch: [69][2430/9018]	Time 0.619 (0.621)	Data 0.005 (0.004)	Loss 1.4253 (1.7015)	Prec@1 59.000 (54.541)	Prec@5 90.000 (83.491)
Epoch: [69][2440/9018]	Time 0.610 (0.621)	Data 0.001 (0.004)	Loss 1.5592 (1.7012)	Prec@1 59.500 (54.546)	Prec@5 87.000 (83.499)
Epoch: [69][2450/9018]	Time 0.593 (0.621)	Data 0.001 (0.004)	Loss 1.6016 (1.7013)	Prec@1 56.000 (54.546)	Prec@5 84.000 (83.498)
Epoch: [69][2460/9018]	Time 0.620 (0.621)	Data 0.001 (0.004)	Loss 1.6494 (1.7013)	Prec@1 55.000 (54.547)	Prec@5 84.000 (83.499)
Epoch: [69][2470/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 1.4941 (1.7013)	Prec@1 56.500 (54.550)	Prec@5 86.000 (83.501)
Epoch: [69][2480/9018]	Time 0.631 (0.621)	Data 0.001 (0.004)	Loss 1.6499 (1.7012)	Prec@1 58.500 (54.556)	Prec@5 83.500 (83.501)
Epoch: [69][2490/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.7324 (1.7012)	Prec@1 52.500 (54.560)	Prec@5 84.500 (83.498)
Epoch: [69][2500/9018]	Time 0.614 (0.621)	Data 0.001 (0.004)	Loss 1.7693 (1.7015)	Prec@1 52.000 (54.554)	Prec@5 82.500 (83.495)
Epoch: [69][2510/9018]	Time 0.605 (0.621)	Data 0.001 (0.004)	Loss 1.7634 (1.7018)	Prec@1 52.000 (54.548)	Prec@5 83.500 (83.486)
Epoch: [69][2520/9018]	Time 0.636 (0.621)	Data 0.001 (0.004)	Loss 1.6777 (1.7017)	Prec@1 53.000 (54.545)	Prec@5 83.000 (83.493)
Epoch: [69][2530/9018]	Time 0.629 (0.621)	Data 0.001 (0.004)	Loss 1.7025 (1.7016)	Prec@1 59.000 (54.545)	Prec@5 83.000 (83.492)
Epoch: [69][2540/9018]	Time 0.593 (0.621)	Data 0.001 (0.004)	Loss 1.8071 (1.7016)	Prec@1 56.500 (54.543)	Prec@5 83.500 (83.489)
Epoch: [69][2550/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.4234 (1.7018)	Prec@1 61.500 (54.538)	Prec@5 86.500 (83.487)
Epoch: [69][2560/9018]	Time 0.737 (0.621)	Data 0.001 (0.004)	Loss 1.5845 (1.7019)	Prec@1 58.500 (54.541)	Prec@5 85.000 (83.485)
Epoch: [69][2570/9018]	Time 0.598 (0.621)	Data 0.001 (0.004)	Loss 1.8609 (1.7021)	Prec@1 52.500 (54.536)	Prec@5 80.000 (83.481)
Epoch: [69][2580/9018]	Time 0.603 (0.621)	Data 0.001 (0.004)	Loss 1.5765 (1.7017)	Prec@1 60.000 (54.546)	Prec@5 88.000 (83.488)
Epoch: [69][2590/9018]	Time 0.624 (0.621)	Data 0.001 (0.004)	Loss 1.8371 (1.7014)	Prec@1 54.000 (54.554)	Prec@5 83.000 (83.495)
Epoch: [69][2600/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.7184 (1.7011)	Prec@1 55.000 (54.563)	Prec@5 84.000 (83.498)
Epoch: [69][2610/9018]	Time 0.745 (0.621)	Data 0.001 (0.004)	Loss 1.6078 (1.7012)	Prec@1 55.000 (54.561)	Prec@5 88.500 (83.500)
Epoch: [69][2620/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.4956 (1.7011)	Prec@1 63.500 (54.569)	Prec@5 87.000 (83.499)
Epoch: [69][2630/9018]	Time 0.593 (0.621)	Data 0.001 (0.004)	Loss 1.7266 (1.7012)	Prec@1 52.500 (54.568)	Prec@5 85.000 (83.499)
Epoch: [69][2640/9018]	Time 0.629 (0.621)	Data 0.001 (0.004)	Loss 1.6972 (1.7012)	Prec@1 56.500 (54.572)	Prec@5 84.000 (83.496)
Epoch: [69][2650/9018]	Time 0.617 (0.621)	Data 0.001 (0.004)	Loss 1.8179 (1.7014)	Prec@1 54.000 (54.570)	Prec@5 83.500 (83.488)
Epoch: [69][2660/9018]	Time 0.605 (0.621)	Data 0.017 (0.004)	Loss 1.6521 (1.7013)	Prec@1 55.000 (54.568)	Prec@5 85.000 (83.490)
Epoch: [69][2670/9018]	Time 0.590 (0.621)	Data 0.001 (0.004)	Loss 1.6842 (1.7014)	Prec@1 59.000 (54.570)	Prec@5 85.500 (83.485)
Epoch: [69][2680/9018]	Time 0.618 (0.621)	Data 0.001 (0.004)	Loss 1.5517 (1.7013)	Prec@1 58.500 (54.569)	Prec@5 86.000 (83.484)
Epoch: [69][2690/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.6344 (1.7013)	Prec@1 55.500 (54.567)	Prec@5 82.000 (83.485)
Epoch: [69][2700/9018]	Time 0.620 (0.621)	Data 0.001 (0.004)	Loss 1.5871 (1.7014)	Prec@1 57.000 (54.567)	Prec@5 86.000 (83.482)
Epoch: [69][2710/9018]	Time 0.601 (0.621)	Data 0.003 (0.004)	Loss 2.0460 (1.7015)	Prec@1 48.500 (54.565)	Prec@5 76.000 (83.480)
Epoch: [69][2720/9018]	Time 0.620 (0.621)	Data 0.017 (0.004)	Loss 1.4827 (1.7013)	Prec@1 62.000 (54.569)	Prec@5 88.000 (83.482)
Epoch: [69][2730/9018]	Time 0.626 (0.621)	Data 0.001 (0.004)	Loss 1.7860 (1.7013)	Prec@1 55.000 (54.568)	Prec@5 81.000 (83.478)
Epoch: [69][2740/9018]	Time 0.623 (0.621)	Data 0.001 (0.004)	Loss 1.5977 (1.7011)	Prec@1 54.500 (54.573)	Prec@5 87.500 (83.481)
Epoch: [69][2750/9018]	Time 0.604 (0.621)	Data 0.004 (0.004)	Loss 2.0203 (1.7011)	Prec@1 48.500 (54.568)	Prec@5 76.000 (83.483)
Epoch: [69][2760/9018]	Time 0.608 (0.621)	Data 0.001 (0.004)	Loss 1.6905 (1.7013)	Prec@1 57.000 (54.566)	Prec@5 87.000 (83.480)
Epoch: [69][2770/9018]	Time 0.612 (0.621)	Data 0.001 (0.004)	Loss 1.7814 (1.7014)	Prec@1 51.500 (54.559)	Prec@5 82.500 (83.481)
Epoch: [69][2780/9018]	Time 0.603 (0.621)	Data 0.001 (0.004)	Loss 1.7989 (1.7015)	Prec@1 55.000 (54.556)	Prec@5 82.000 (83.481)
Epoch: [69][2790/9018]	Time 0.603 (0.621)	Data 0.012 (0.004)	Loss 1.7761 (1.7016)	Prec@1 55.000 (54.553)	Prec@5 81.000 (83.481)
Epoch: [69][2800/9018]	Time 0.597 (0.621)	Data 0.013 (0.004)	Loss 1.6600 (1.7018)	Prec@1 52.000 (54.549)	Prec@5 89.000 (83.479)
Epoch: [69][2810/9018]	Time 0.605 (0.621)	Data 0.009 (0.004)	Loss 1.6341 (1.7021)	Prec@1 56.000 (54.541)	Prec@5 84.000 (83.474)
Epoch: [69][2820/9018]	Time 0.617 (0.621)	Data 0.014 (0.004)	Loss 1.8264 (1.7022)	Prec@1 51.500 (54.537)	Prec@5 80.500 (83.473)
Epoch: [69][2830/9018]	Time 0.603 (0.621)	Data 0.001 (0.004)	Loss 1.6425 (1.7023)	Prec@1 58.000 (54.536)	Prec@5 84.500 (83.473)
Epoch: [69][2840/9018]	Time 0.623 (0.621)	Data 0.017 (0.004)	Loss 1.8232 (1.7023)	Prec@1 54.000 (54.536)	Prec@5 80.500 (83.474)
Epoch: [69][2850/9018]	Time 0.639 (0.621)	Data 0.001 (0.004)	Loss 1.5932 (1.7023)	Prec@1 55.000 (54.534)	Prec@5 84.000 (83.472)
Epoch: [69][2860/9018]	Time 0.608 (0.621)	Data 0.001 (0.004)	Loss 1.8125 (1.7023)	Prec@1 52.500 (54.534)	Prec@5 84.500 (83.473)
Epoch: [69][2870/9018]	Time 0.654 (0.621)	Data 0.005 (0.004)	Loss 1.8475 (1.7024)	Prec@1 50.000 (54.530)	Prec@5 82.000 (83.469)
Epoch: [69][2880/9018]	Time 0.639 (0.621)	Data 0.001 (0.004)	Loss 1.7627 (1.7027)	Prec@1 49.000 (54.526)	Prec@5 83.500 (83.464)
Epoch: [69][2890/9018]	Time 0.741 (0.621)	Data 0.001 (0.004)	Loss 1.8084 (1.7027)	Prec@1 52.500 (54.519)	Prec@5 83.500 (83.466)
Epoch: [69][2900/9018]	Time 0.598 (0.621)	Data 0.001 (0.004)	Loss 1.6241 (1.7026)	Prec@1 53.000 (54.519)	Prec@5 87.000 (83.468)
Epoch: [69][2910/9018]	Time 0.607 (0.621)	Data 0.027 (0.004)	Loss 1.6252 (1.7027)	Prec@1 56.500 (54.517)	Prec@5 83.500 (83.468)
Epoch: [69][2920/9018]	Time 0.624 (0.621)	Data 0.001 (0.004)	Loss 1.6986 (1.7027)	Prec@1 54.500 (54.518)	Prec@5 82.500 (83.469)
Epoch: [69][2930/9018]	Time 0.634 (0.621)	Data 0.001 (0.004)	Loss 1.6722 (1.7028)	Prec@1 58.000 (54.518)	Prec@5 83.000 (83.469)
Epoch: [69][2940/9018]	Time 0.762 (0.621)	Data 0.014 (0.004)	Loss 1.5073 (1.7026)	Prec@1 58.000 (54.518)	Prec@5 87.000 (83.473)
Epoch: [69][2950/9018]	Time 0.648 (0.621)	Data 0.016 (0.004)	Loss 2.0024 (1.7027)	Prec@1 52.000 (54.517)	Prec@5 75.500 (83.472)
Epoch: [69][2960/9018]	Time 0.590 (0.621)	Data 0.001 (0.004)	Loss 1.7468 (1.7027)	Prec@1 54.500 (54.517)	Prec@5 80.000 (83.471)
Epoch: [69][2970/9018]	Time 0.603 (0.621)	Data 0.001 (0.004)	Loss 1.6753 (1.7027)	Prec@1 55.000 (54.518)	Prec@5 83.000 (83.467)
Epoch: [69][2980/9018]	Time 0.613 (0.621)	Data 0.001 (0.004)	Loss 1.7927 (1.7027)	Prec@1 55.000 (54.517)	Prec@5 80.000 (83.470)
Epoch: [69][2990/9018]	Time 0.610 (0.621)	Data 0.002 (0.004)	Loss 1.6477 (1.7027)	Prec@1 51.000 (54.519)	Prec@5 83.500 (83.467)
Epoch: [69][3000/9018]	Time 0.628 (0.621)	Data 0.001 (0.004)	Loss 1.8821 (1.7028)	Prec@1 50.000 (54.517)	Prec@5 81.500 (83.467)
Epoch: [69][3010/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.8222 (1.7030)	Prec@1 53.000 (54.513)	Prec@5 77.500 (83.460)
Epoch: [69][3020/9018]	Time 0.614 (0.621)	Data 0.001 (0.004)	Loss 1.6442 (1.7029)	Prec@1 56.000 (54.517)	Prec@5 83.500 (83.460)
Epoch: [69][3030/9018]	Time 0.625 (0.621)	Data 0.001 (0.004)	Loss 1.7793 (1.7030)	Prec@1 51.500 (54.516)	Prec@5 82.000 (83.457)
Epoch: [69][3040/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 1.5827 (1.7031)	Prec@1 57.000 (54.513)	Prec@5 85.000 (83.454)
Epoch: [69][3050/9018]	Time 0.635 (0.621)	Data 0.001 (0.004)	Loss 1.8945 (1.7030)	Prec@1 53.500 (54.513)	Prec@5 77.500 (83.453)
Epoch: [69][3060/9018]	Time 0.593 (0.621)	Data 0.001 (0.004)	Loss 1.7696 (1.7029)	Prec@1 51.500 (54.518)	Prec@5 82.000 (83.455)
Epoch: [69][3070/9018]	Time 0.600 (0.621)	Data 0.001 (0.004)	Loss 1.7101 (1.7030)	Prec@1 51.000 (54.516)	Prec@5 82.000 (83.454)
Epoch: [69][3080/9018]	Time 0.621 (0.621)	Data 0.001 (0.004)	Loss 1.8173 (1.7029)	Prec@1 53.500 (54.517)	Prec@5 80.000 (83.455)
Epoch: [69][3090/9018]	Time 0.630 (0.621)	Data 0.001 (0.004)	Loss 1.7021 (1.7029)	Prec@1 56.500 (54.519)	Prec@5 80.500 (83.455)
Epoch: [69][3100/9018]	Time 0.632 (0.621)	Data 0.001 (0.004)	Loss 1.5891 (1.7028)	Prec@1 59.500 (54.524)	Prec@5 89.000 (83.454)
Epoch: [69][3110/9018]	Time 0.588 (0.621)	Data 0.001 (0.004)	Loss 1.8187 (1.7028)	Prec@1 54.000 (54.526)	Prec@5 83.000 (83.454)
Epoch: [69][3120/9018]	Time 0.653 (0.621)	Data 0.001 (0.004)	Loss 1.7598 (1.7029)	Prec@1 51.500 (54.521)	Prec@5 82.500 (83.455)
Epoch: [69][3130/9018]	Time 0.607 (0.621)	Data 0.003 (0.004)	Loss 1.6185 (1.7029)	Prec@1 53.500 (54.519)	Prec@5 84.000 (83.456)
Epoch: [69][3140/9018]	Time 0.620 (0.621)	Data 0.001 (0.004)	Loss 2.0141 (1.7028)	Prec@1 41.500 (54.518)	Prec@5 79.000 (83.459)
Epoch: [69][3150/9018]	Time 0.604 (0.621)	Data 0.004 (0.004)	Loss 1.6543 (1.7028)	Prec@1 60.500 (54.521)	Prec@5 82.000 (83.457)
Epoch: [69][3160/9018]	Time 0.623 (0.621)	Data 0.001 (0.004)	Loss 1.6734 (1.7028)	Prec@1 58.500 (54.521)	Prec@5 84.000 (83.459)
Epoch: [69][3170/9018]	Time 0.606 (0.621)	Data 0.001 (0.004)	Loss 1.8165 (1.7029)	Prec@1 52.000 (54.518)	Prec@5 80.500 (83.455)
Epoch: [69][3180/9018]	Time 0.589 (0.621)	Data 0.001 (0.004)	Loss 1.8410 (1.7030)	Prec@1 51.000 (54.514)	Prec@5 78.500 (83.455)
Epoch: [69][3190/9018]	Time 0.642 (0.621)	Data 0.002 (0.004)	Loss 1.8285 (1.7030)	Prec@1 53.500 (54.512)	Prec@5 82.500 (83.455)
Epoch: [69][3200/9018]	Time 0.612 (0.621)	Data 0.017 (0.004)	Loss 1.6862 (1.7030)	Prec@1 54.500 (54.510)	Prec@5 84.000 (83.455)
Epoch: [69][3210/9018]	Time 0.626 (0.621)	Data 0.001 (0.004)	Loss 1.8195 (1.7031)	Prec@1 54.000 (54.508)	Prec@5 80.500 (83.453)
Epoch: [69][3220/9018]	Time 0.768 (0.621)	Data 0.001 (0.004)	Loss 1.7506 (1.7033)	Prec@1 51.000 (54.501)	Prec@5 82.000 (83.450)
Epoch: [69][3230/9018]	Time 0.614 (0.621)	Data 0.001 (0.004)	Loss 1.7383 (1.7033)	Prec@1 54.000 (54.503)	Prec@5 88.500 (83.453)
Epoch: [69][3240/9018]	Time 0.614 (0.621)	Data 0.001 (0.004)	Loss 1.9817 (1.7032)	Prec@1 47.000 (54.502)	Prec@5 81.000 (83.456)
Epoch: [69][3250/9018]	Time 0.620 (0.621)	Data 0.001 (0.004)	Loss 1.6510 (1.7033)	Prec@1 55.500 (54.497)	Prec@5 87.000 (83.459)
Epoch: [69][3260/9018]	Time 0.628 (0.621)	Data 0.001 (0.004)	Loss 1.8294 (1.7033)	Prec@1 51.000 (54.496)	Prec@5 81.000 (83.458)
Epoch: [69][3270/9018]	Time 0.757 (0.621)	Data 0.001 (0.004)	Loss 1.6807 (1.7033)	Prec@1 51.000 (54.499)	Prec@5 83.500 (83.457)
Epoch: [69][3280/9018]	Time 0.636 (0.621)	Data 0.001 (0.004)	Loss 1.7684 (1.7034)	Prec@1 51.000 (54.500)	Prec@5 83.500 (83.457)
Epoch: [69][3290/9018]	Time 0.640 (0.622)	Data 0.001 (0.004)	Loss 1.7651 (1.7034)	Prec@1 55.500 (54.497)	Prec@5 82.000 (83.455)
Epoch: [69][3300/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.6863 (1.7033)	Prec@1 57.000 (54.503)	Prec@5 83.000 (83.454)
Epoch: [69][3310/9018]	Time 0.630 (0.622)	Data 0.001 (0.004)	Loss 1.6234 (1.7032)	Prec@1 54.000 (54.507)	Prec@5 84.000 (83.456)
Epoch: [69][3320/9018]	Time 0.602 (0.622)	Data 0.001 (0.004)	Loss 1.5688 (1.7031)	Prec@1 55.000 (54.509)	Prec@5 83.000 (83.457)
Epoch: [69][3330/9018]	Time 0.589 (0.622)	Data 0.001 (0.004)	Loss 1.6397 (1.7030)	Prec@1 56.000 (54.514)	Prec@5 84.000 (83.459)
Epoch: [69][3340/9018]	Time 0.636 (0.622)	Data 0.001 (0.004)	Loss 1.6627 (1.7028)	Prec@1 59.500 (54.518)	Prec@5 84.000 (83.462)
Epoch: [69][3350/9018]	Time 0.625 (0.621)	Data 0.014 (0.004)	Loss 1.8035 (1.7027)	Prec@1 53.500 (54.522)	Prec@5 80.500 (83.463)
Epoch: [69][3360/9018]	Time 0.610 (0.622)	Data 0.017 (0.004)	Loss 1.7259 (1.7028)	Prec@1 52.000 (54.517)	Prec@5 84.500 (83.464)
Epoch: [69][3370/9018]	Time 0.625 (0.622)	Data 0.003 (0.004)	Loss 1.8255 (1.7030)	Prec@1 47.000 (54.507)	Prec@5 85.000 (83.464)
Epoch: [69][3380/9018]	Time 0.636 (0.622)	Data 0.016 (0.004)	Loss 1.7429 (1.7032)	Prec@1 56.000 (54.503)	Prec@5 82.500 (83.462)
Epoch: [69][3390/9018]	Time 0.597 (0.622)	Data 0.001 (0.004)	Loss 1.6957 (1.7031)	Prec@1 56.000 (54.503)	Prec@5 86.500 (83.463)
Epoch: [69][3400/9018]	Time 0.622 (0.622)	Data 0.001 (0.004)	Loss 1.6219 (1.7031)	Prec@1 60.000 (54.503)	Prec@5 83.000 (83.460)
Epoch: [69][3410/9018]	Time 0.605 (0.622)	Data 0.001 (0.004)	Loss 1.6379 (1.7031)	Prec@1 56.000 (54.503)	Prec@5 84.500 (83.461)
Epoch: [69][3420/9018]	Time 0.612 (0.622)	Data 0.013 (0.004)	Loss 1.5577 (1.7029)	Prec@1 57.000 (54.506)	Prec@5 87.000 (83.468)
Epoch: [69][3430/9018]	Time 0.592 (0.622)	Data 0.001 (0.004)	Loss 1.9224 (1.7031)	Prec@1 50.000 (54.503)	Prec@5 79.500 (83.463)
Epoch: [69][3440/9018]	Time 0.590 (0.622)	Data 0.001 (0.004)	Loss 1.6041 (1.7030)	Prec@1 56.500 (54.503)	Prec@5 89.000 (83.464)
Epoch: [69][3450/9018]	Time 0.609 (0.622)	Data 0.001 (0.004)	Loss 1.5307 (1.7028)	Prec@1 61.000 (54.508)	Prec@5 88.500 (83.470)
Epoch: [69][3460/9018]	Time 0.600 (0.622)	Data 0.001 (0.004)	Loss 1.8450 (1.7030)	Prec@1 50.000 (54.501)	Prec@5 79.000 (83.467)
Epoch: [69][3470/9018]	Time 0.609 (0.622)	Data 0.001 (0.004)	Loss 1.6298 (1.7030)	Prec@1 55.000 (54.500)	Prec@5 85.000 (83.467)
Epoch: [69][3480/9018]	Time 0.623 (0.622)	Data 0.001 (0.004)	Loss 1.9220 (1.7032)	Prec@1 50.000 (54.494)	Prec@5 79.500 (83.463)
Epoch: [69][3490/9018]	Time 0.598 (0.622)	Data 0.001 (0.004)	Loss 1.6764 (1.7030)	Prec@1 55.500 (54.499)	Prec@5 83.500 (83.468)
Epoch: [69][3500/9018]	Time 0.604 (0.621)	Data 0.001 (0.004)	Loss 1.8127 (1.7029)	Prec@1 53.500 (54.504)	Prec@5 80.500 (83.467)
Epoch: [69][3510/9018]	Time 0.632 (0.622)	Data 0.001 (0.004)	Loss 1.8084 (1.7028)	Prec@1 51.500 (54.503)	Prec@5 84.000 (83.470)
Epoch: [69][3520/9018]	Time 0.629 (0.622)	Data 0.013 (0.004)	Loss 1.7364 (1.7028)	Prec@1 52.000 (54.505)	Prec@5 86.500 (83.471)
Epoch: [69][3530/9018]	Time 0.616 (0.622)	Data 0.001 (0.004)	Loss 1.8024 (1.7028)	Prec@1 53.500 (54.503)	Prec@5 81.000 (83.471)
Epoch: [69][3540/9018]	Time 0.615 (0.622)	Data 0.001 (0.004)	Loss 1.8141 (1.7030)	Prec@1 50.000 (54.504)	Prec@5 84.500 (83.471)
Epoch: [69][3550/9018]	Time 0.765 (0.622)	Data 0.001 (0.004)	Loss 2.0863 (1.7032)	Prec@1 45.000 (54.501)	Prec@5 79.500 (83.467)
Epoch: [69][3560/9018]	Time 0.625 (0.622)	Data 0.001 (0.004)	Loss 1.7116 (1.7032)	Prec@1 51.000 (54.499)	Prec@5 83.000 (83.464)
Epoch: [69][3570/9018]	Time 0.609 (0.622)	Data 0.001 (0.004)	Loss 1.9044 (1.7034)	Prec@1 53.500 (54.495)	Prec@5 81.000 (83.463)
Epoch: [69][3580/9018]	Time 0.626 (0.622)	Data 0.001 (0.004)	Loss 1.5125 (1.7034)	Prec@1 61.500 (54.494)	Prec@5 87.500 (83.461)
Epoch: [69][3590/9018]	Time 0.600 (0.622)	Data 0.001 (0.004)	Loss 1.8568 (1.7035)	Prec@1 52.000 (54.490)	Prec@5 79.500 (83.457)
Epoch: [69][3600/9018]	Time 0.759 (0.622)	Data 0.001 (0.004)	Loss 1.8993 (1.7036)	Prec@1 49.500 (54.488)	Prec@5 79.000 (83.456)
Epoch: [69][3610/9018]	Time 0.606 (0.622)	Data 0.001 (0.004)	Loss 1.7314 (1.7036)	Prec@1 55.000 (54.485)	Prec@5 83.000 (83.455)
Epoch: [69][3620/9018]	Time 0.607 (0.622)	Data 0.001 (0.004)	Loss 1.8349 (1.7036)	Prec@1 51.500 (54.485)	Prec@5 83.500 (83.455)
Epoch: [69][3630/9018]	Time 0.623 (0.622)	Data 0.015 (0.004)	Loss 1.8432 (1.7036)	Prec@1 54.000 (54.486)	Prec@5 78.500 (83.457)
Epoch: [69][3640/9018]	Time 0.636 (0.622)	Data 0.001 (0.004)	Loss 1.8716 (1.7037)	Prec@1 53.000 (54.483)	Prec@5 82.000 (83.453)
Epoch: [69][3650/9018]	Time 0.642 (0.622)	Data 0.015 (0.004)	Loss 1.6983 (1.7036)	Prec@1 55.500 (54.487)	Prec@5 86.500 (83.456)
Epoch: [69][3660/9018]	Time 0.602 (0.622)	Data 0.001 (0.004)	Loss 1.7572 (1.7037)	Prec@1 54.500 (54.486)	Prec@5 83.500 (83.455)
Epoch: [69][3670/9018]	Time 0.613 (0.622)	Data 0.001 (0.004)	Loss 1.9421 (1.7037)	Prec@1 50.500 (54.488)	Prec@5 84.000 (83.460)
Epoch: [69][3680/9018]	Time 0.619 (0.622)	Data 0.001 (0.004)	Loss 1.5908 (1.7037)	Prec@1 55.000 (54.486)	Prec@5 85.000 (83.460)
Epoch: [69][3690/9018]	Time 0.592 (0.622)	Data 0.001 (0.004)	Loss 1.6542 (1.7037)	Prec@1 57.500 (54.484)	Prec@5 83.500 (83.459)
Epoch: [69][3700/9018]	Time 0.646 (0.622)	Data 0.001 (0.004)	Loss 1.6028 (1.7035)	Prec@1 52.000 (54.487)	Prec@5 86.000 (83.463)
Epoch: [69][3710/9018]	Time 0.628 (0.622)	Data 0.001 (0.004)	Loss 1.8555 (1.7037)	Prec@1 50.000 (54.485)	Prec@5 81.000 (83.463)
Epoch: [69][3720/9018]	Time 0.618 (0.622)	Data 0.009 (0.004)	Loss 1.7816 (1.7037)	Prec@1 57.000 (54.485)	Prec@5 81.500 (83.462)
Epoch: [69][3730/9018]	Time 0.622 (0.622)	Data 0.001 (0.004)	Loss 1.4823 (1.7038)	Prec@1 61.500 (54.484)	Prec@5 88.000 (83.462)
Epoch: [69][3740/9018]	Time 0.608 (0.622)	Data 0.001 (0.004)	Loss 1.9339 (1.7037)	Prec@1 52.000 (54.482)	Prec@5 80.500 (83.463)
Epoch: [69][3750/9018]	Time 0.623 (0.622)	Data 0.001 (0.004)	Loss 1.7905 (1.7035)	Prec@1 51.000 (54.486)	Prec@5 81.000 (83.467)
Epoch: [69][3760/9018]	Time 0.653 (0.622)	Data 0.001 (0.004)	Loss 1.7157 (1.7034)	Prec@1 54.500 (54.488)	Prec@5 82.500 (83.468)
Epoch: [69][3770/9018]	Time 0.595 (0.622)	Data 0.001 (0.004)	Loss 1.6574 (1.7036)	Prec@1 55.500 (54.485)	Prec@5 82.000 (83.465)
Epoch: [69][3780/9018]	Time 0.604 (0.622)	Data 0.001 (0.004)	Loss 1.8543 (1.7036)	Prec@1 50.000 (54.488)	Prec@5 84.000 (83.464)
Epoch: [69][3790/9018]	Time 0.590 (0.622)	Data 0.001 (0.004)	Loss 1.6568 (1.7034)	Prec@1 52.000 (54.488)	Prec@5 84.500 (83.467)
Epoch: [69][3800/9018]	Time 0.597 (0.622)	Data 0.001 (0.004)	Loss 1.9417 (1.7035)	Prec@1 45.000 (54.485)	Prec@5 80.000 (83.467)
Epoch: [69][3810/9018]	Time 0.611 (0.622)	Data 0.001 (0.004)	Loss 1.6193 (1.7035)	Prec@1 58.500 (54.484)	Prec@5 84.500 (83.466)
Epoch: [69][3820/9018]	Time 0.635 (0.622)	Data 0.013 (0.004)	Loss 1.5749 (1.7036)	Prec@1 57.500 (54.481)	Prec@5 88.000 (83.468)
Epoch: [69][3830/9018]	Time 0.593 (0.622)	Data 0.001 (0.004)	Loss 1.7150 (1.7035)	Prec@1 53.500 (54.484)	Prec@5 82.500 (83.468)
Epoch: [69][3840/9018]	Time 0.623 (0.622)	Data 0.001 (0.004)	Loss 1.7821 (1.7037)	Prec@1 52.500 (54.482)	Prec@5 80.500 (83.465)
Epoch: [69][3850/9018]	Time 0.633 (0.622)	Data 0.001 (0.004)	Loss 1.9420 (1.7037)	Prec@1 50.500 (54.479)	Prec@5 81.500 (83.464)
Epoch: [69][3860/9018]	Time 0.631 (0.622)	Data 0.008 (0.004)	Loss 1.6329 (1.7038)	Prec@1 56.500 (54.477)	Prec@5 86.500 (83.463)
Epoch: [69][3870/9018]	Time 0.629 (0.622)	Data 0.001 (0.004)	Loss 1.9429 (1.7039)	Prec@1 44.500 (54.473)	Prec@5 78.500 (83.464)
Epoch: [69][3880/9018]	Time 0.749 (0.622)	Data 0.003 (0.004)	Loss 1.6518 (1.7039)	Prec@1 55.500 (54.472)	Prec@5 81.000 (83.465)
Epoch: [69][3890/9018]	Time 0.605 (0.622)	Data 0.001 (0.004)	Loss 1.6915 (1.7038)	Prec@1 57.500 (54.475)	Prec@5 84.500 (83.467)
Epoch: [69][3900/9018]	Time 0.628 (0.622)	Data 0.001 (0.004)	Loss 1.5830 (1.7040)	Prec@1 57.500 (54.472)	Prec@5 86.000 (83.463)
Epoch: [69][3910/9018]	Time 0.629 (0.622)	Data 0.001 (0.004)	Loss 1.5163 (1.7040)	Prec@1 56.500 (54.472)	Prec@5 84.500 (83.460)
Epoch: [69][3920/9018]	Time 0.610 (0.622)	Data 0.001 (0.004)	Loss 1.7434 (1.7040)	Prec@1 54.000 (54.475)	Prec@5 82.000 (83.461)
Epoch: [69][3930/9018]	Time 0.804 (0.622)	Data 0.001 (0.004)	Loss 1.6342 (1.7039)	Prec@1 56.500 (54.476)	Prec@5 84.000 (83.462)
Epoch: [69][3940/9018]	Time 0.624 (0.622)	Data 0.001 (0.004)	Loss 1.4601 (1.7038)	Prec@1 63.500 (54.476)	Prec@5 86.500 (83.464)
Epoch: [69][3950/9018]	Time 0.628 (0.622)	Data 0.001 (0.004)	Loss 1.7681 (1.7038)	Prec@1 51.000 (54.475)	Prec@5 85.500 (83.465)
Epoch: [69][3960/9018]	Time 0.607 (0.622)	Data 0.001 (0.004)	Loss 1.6161 (1.7040)	Prec@1 53.500 (54.471)	Prec@5 87.000 (83.463)
Epoch: [69][3970/9018]	Time 0.624 (0.622)	Data 0.015 (0.004)	Loss 1.7975 (1.7039)	Prec@1 50.000 (54.473)	Prec@5 82.500 (83.464)
Epoch: [69][3980/9018]	Time 0.617 (0.622)	Data 0.001 (0.004)	Loss 1.6247 (1.7038)	Prec@1 53.500 (54.475)	Prec@5 87.000 (83.466)
Epoch: [69][3990/9018]	Time 0.615 (0.622)	Data 0.014 (0.004)	Loss 1.8182 (1.7039)	Prec@1 52.500 (54.476)	Prec@5 82.000 (83.464)
Epoch: [69][4000/9018]	Time 0.626 (0.622)	Data 0.001 (0.004)	Loss 1.6931 (1.7038)	Prec@1 58.000 (54.481)	Prec@5 84.500 (83.465)
Epoch: [69][4010/9018]	Time 0.618 (0.622)	Data 0.001 (0.004)	Loss 1.7178 (1.7038)	Prec@1 50.500 (54.480)	Prec@5 86.000 (83.465)
Epoch: [69][4020/9018]	Time 0.630 (0.622)	Data 0.001 (0.004)	Loss 1.8465 (1.7040)	Prec@1 49.000 (54.478)	Prec@5 79.000 (83.462)
Epoch: [69][4030/9018]	Time 0.634 (0.622)	Data 0.001 (0.004)	Loss 1.6924 (1.7040)	Prec@1 53.000 (54.478)	Prec@5 84.500 (83.461)
Epoch: [69][4040/9018]	Time 0.644 (0.622)	Data 0.001 (0.004)	Loss 1.8614 (1.7039)	Prec@1 50.500 (54.480)	Prec@5 79.000 (83.461)
Epoch: [69][4050/9018]	Time 0.597 (0.622)	Data 0.001 (0.004)	Loss 1.9464 (1.7039)	Prec@1 49.000 (54.479)	Prec@5 80.000 (83.462)
Epoch: [69][4060/9018]	Time 0.632 (0.622)	Data 0.001 (0.004)	Loss 1.8574 (1.7039)	Prec@1 47.500 (54.479)	Prec@5 80.000 (83.463)
Epoch: [69][4070/9018]	Time 0.657 (0.622)	Data 0.015 (0.004)	Loss 1.7772 (1.7041)	Prec@1 53.000 (54.472)	Prec@5 82.500 (83.460)
Epoch: [69][4080/9018]	Time 0.603 (0.622)	Data 0.001 (0.004)	Loss 1.6520 (1.7042)	Prec@1 56.500 (54.470)	Prec@5 86.000 (83.458)
Epoch: [69][4090/9018]	Time 0.616 (0.622)	Data 0.015 (0.004)	Loss 1.6994 (1.7042)	Prec@1 56.500 (54.469)	Prec@5 84.000 (83.456)
Epoch: [69][4100/9018]	Time 0.600 (0.622)	Data 0.001 (0.004)	Loss 1.5309 (1.7043)	Prec@1 58.500 (54.470)	Prec@5 86.000 (83.454)
Epoch: [69][4110/9018]	Time 0.626 (0.622)	Data 0.001 (0.004)	Loss 1.5884 (1.7041)	Prec@1 55.000 (54.471)	Prec@5 86.500 (83.456)
Epoch: [69][4120/9018]	Time 0.599 (0.622)	Data 0.001 (0.004)	Loss 1.7028 (1.7041)	Prec@1 57.000 (54.473)	Prec@5 82.000 (83.455)
Epoch: [69][4130/9018]	Time 0.612 (0.622)	Data 0.001 (0.004)	Loss 1.5351 (1.7040)	Prec@1 63.000 (54.477)	Prec@5 82.500 (83.457)
Epoch: [69][4140/9018]	Time 0.602 (0.622)	Data 0.001 (0.004)	Loss 1.5416 (1.7040)	Prec@1 57.500 (54.476)	Prec@5 86.500 (83.460)
Epoch: [69][4150/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.6851 (1.7040)	Prec@1 57.500 (54.476)	Prec@5 82.000 (83.459)
Epoch: [69][4160/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.6441 (1.7040)	Prec@1 53.500 (54.475)	Prec@5 83.000 (83.459)
Epoch: [69][4170/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.4219 (1.7040)	Prec@1 60.500 (54.475)	Prec@5 88.500 (83.459)
Epoch: [69][4180/9018]	Time 0.637 (0.622)	Data 0.001 (0.003)	Loss 1.7883 (1.7041)	Prec@1 51.500 (54.473)	Prec@5 81.000 (83.457)
Epoch: [69][4190/9018]	Time 0.650 (0.622)	Data 0.005 (0.003)	Loss 1.7614 (1.7041)	Prec@1 53.000 (54.472)	Prec@5 82.000 (83.455)
Epoch: [69][4200/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.6139 (1.7042)	Prec@1 52.000 (54.471)	Prec@5 85.500 (83.453)
Epoch: [69][4210/9018]	Time 0.797 (0.622)	Data 0.014 (0.003)	Loss 1.7144 (1.7042)	Prec@1 56.000 (54.472)	Prec@5 82.000 (83.452)
Epoch: [69][4220/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.6307 (1.7043)	Prec@1 58.500 (54.471)	Prec@5 85.500 (83.450)
Epoch: [69][4230/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.6556 (1.7044)	Prec@1 54.500 (54.468)	Prec@5 84.500 (83.449)
Epoch: [69][4240/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.7627 (1.7044)	Prec@1 55.000 (54.467)	Prec@5 79.500 (83.451)
Epoch: [69][4250/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.7580 (1.7043)	Prec@1 54.000 (54.471)	Prec@5 80.500 (83.451)
Epoch: [69][4260/9018]	Time 0.793 (0.622)	Data 0.014 (0.003)	Loss 1.8434 (1.7043)	Prec@1 54.500 (54.471)	Prec@5 81.500 (83.452)
Epoch: [69][4270/9018]	Time 0.585 (0.622)	Data 0.001 (0.003)	Loss 1.8989 (1.7046)	Prec@1 50.500 (54.463)	Prec@5 81.000 (83.448)
Epoch: [69][4280/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.7677 (1.7048)	Prec@1 49.000 (54.459)	Prec@5 86.000 (83.446)
Epoch: [69][4290/9018]	Time 0.625 (0.622)	Data 0.008 (0.003)	Loss 1.7320 (1.7048)	Prec@1 56.500 (54.462)	Prec@5 83.000 (83.445)
Epoch: [69][4300/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7585 (1.7049)	Prec@1 50.500 (54.459)	Prec@5 83.500 (83.446)
Epoch: [69][4310/9018]	Time 0.631 (0.622)	Data 0.012 (0.003)	Loss 1.7821 (1.7049)	Prec@1 51.500 (54.460)	Prec@5 84.500 (83.445)
Epoch: [69][4320/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.7706 (1.7050)	Prec@1 56.000 (54.458)	Prec@5 83.500 (83.445)
Epoch: [69][4330/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 1.6990 (1.7051)	Prec@1 55.500 (54.461)	Prec@5 84.000 (83.444)
Epoch: [69][4340/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.8639 (1.7051)	Prec@1 52.500 (54.461)	Prec@5 81.000 (83.445)
Epoch: [69][4350/9018]	Time 0.606 (0.622)	Data 0.006 (0.003)	Loss 1.7667 (1.7052)	Prec@1 51.000 (54.458)	Prec@5 83.000 (83.446)
Epoch: [69][4360/9018]	Time 0.647 (0.622)	Data 0.015 (0.003)	Loss 1.5229 (1.7052)	Prec@1 56.000 (54.456)	Prec@5 86.500 (83.445)
Epoch: [69][4370/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.7549 (1.7052)	Prec@1 54.000 (54.455)	Prec@5 82.500 (83.444)
Epoch: [69][4380/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.7711 (1.7053)	Prec@1 57.500 (54.455)	Prec@5 83.000 (83.441)
Epoch: [69][4390/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.6299 (1.7051)	Prec@1 55.000 (54.457)	Prec@5 84.500 (83.443)
Epoch: [69][4400/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.6984 (1.7052)	Prec@1 53.500 (54.458)	Prec@5 85.500 (83.443)
Epoch: [69][4410/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.6878 (1.7051)	Prec@1 55.500 (54.457)	Prec@5 81.000 (83.443)
Epoch: [69][4420/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.6598 (1.7050)	Prec@1 55.500 (54.459)	Prec@5 85.500 (83.445)
Epoch: [69][4430/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.6617 (1.7049)	Prec@1 56.500 (54.458)	Prec@5 84.000 (83.446)
Epoch: [69][4440/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.6577 (1.7050)	Prec@1 57.500 (54.458)	Prec@5 85.000 (83.446)
Epoch: [69][4450/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.8030 (1.7049)	Prec@1 53.500 (54.459)	Prec@5 82.000 (83.446)
Epoch: [69][4460/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.6574 (1.7051)	Prec@1 51.500 (54.456)	Prec@5 85.000 (83.443)
Epoch: [69][4470/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.5934 (1.7052)	Prec@1 60.000 (54.454)	Prec@5 84.500 (83.441)
Epoch: [69][4480/9018]	Time 0.639 (0.622)	Data 0.001 (0.003)	Loss 1.6663 (1.7051)	Prec@1 56.500 (54.456)	Prec@5 84.500 (83.445)
Epoch: [69][4490/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.8158 (1.7052)	Prec@1 53.000 (54.454)	Prec@5 84.000 (83.443)
Epoch: [69][4500/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.7726 (1.7051)	Prec@1 51.000 (54.453)	Prec@5 83.000 (83.444)
Epoch: [69][4510/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.8166 (1.7052)	Prec@1 51.500 (54.452)	Prec@5 82.000 (83.443)
Epoch: [69][4520/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.6279 (1.7051)	Prec@1 54.500 (54.452)	Prec@5 88.000 (83.447)
Epoch: [69][4530/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.5387 (1.7053)	Prec@1 62.000 (54.450)	Prec@5 84.000 (83.444)
Epoch: [69][4540/9018]	Time 0.764 (0.622)	Data 0.001 (0.003)	Loss 1.5475 (1.7052)	Prec@1 61.000 (54.453)	Prec@5 86.000 (83.443)
Epoch: [69][4550/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.5705 (1.7051)	Prec@1 57.500 (54.454)	Prec@5 88.000 (83.446)
Epoch: [69][4560/9018]	Time 0.617 (0.622)	Data 0.014 (0.003)	Loss 1.9828 (1.7052)	Prec@1 49.000 (54.453)	Prec@5 75.500 (83.445)
Epoch: [69][4570/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.7028 (1.7051)	Prec@1 57.000 (54.452)	Prec@5 81.500 (83.445)
Epoch: [69][4580/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.6643 (1.7051)	Prec@1 53.500 (54.452)	Prec@5 84.000 (83.444)
Epoch: [69][4590/9018]	Time 0.744 (0.622)	Data 0.001 (0.003)	Loss 1.7143 (1.7052)	Prec@1 53.500 (54.450)	Prec@5 82.500 (83.444)
Epoch: [69][4600/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.6763 (1.7052)	Prec@1 57.000 (54.451)	Prec@5 81.000 (83.443)
Epoch: [69][4610/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.5885 (1.7052)	Prec@1 58.000 (54.452)	Prec@5 87.000 (83.445)
Epoch: [69][4620/9018]	Time 0.616 (0.622)	Data 0.016 (0.003)	Loss 1.8308 (1.7054)	Prec@1 49.000 (54.450)	Prec@5 82.000 (83.443)
Epoch: [69][4630/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.8011 (1.7053)	Prec@1 54.500 (54.452)	Prec@5 81.500 (83.444)
Epoch: [69][4640/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.6204 (1.7052)	Prec@1 54.000 (54.451)	Prec@5 85.500 (83.447)
Epoch: [69][4650/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7368 (1.7052)	Prec@1 54.000 (54.451)	Prec@5 83.500 (83.447)
Epoch: [69][4660/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.7193 (1.7052)	Prec@1 56.000 (54.451)	Prec@5 85.500 (83.448)
Epoch: [69][4670/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.7920 (1.7053)	Prec@1 51.500 (54.451)	Prec@5 82.500 (83.448)
Epoch: [69][4680/9018]	Time 0.592 (0.622)	Data 0.002 (0.003)	Loss 1.8203 (1.7052)	Prec@1 56.500 (54.450)	Prec@5 83.500 (83.449)
Epoch: [69][4690/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.7223 (1.7052)	Prec@1 54.000 (54.450)	Prec@5 83.500 (83.451)
Epoch: [69][4700/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.7061 (1.7051)	Prec@1 53.000 (54.452)	Prec@5 84.500 (83.451)
Epoch: [69][4710/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.6832 (1.7050)	Prec@1 55.500 (54.453)	Prec@5 86.500 (83.453)
Epoch: [69][4720/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.5556 (1.7051)	Prec@1 54.500 (54.450)	Prec@5 84.500 (83.453)
Epoch: [69][4730/9018]	Time 0.648 (0.622)	Data 0.001 (0.003)	Loss 1.5400 (1.7049)	Prec@1 58.000 (54.454)	Prec@5 86.000 (83.456)
Epoch: [69][4740/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.6560 (1.7049)	Prec@1 59.000 (54.456)	Prec@5 82.000 (83.457)
Epoch: [69][4750/9018]	Time 0.634 (0.622)	Data 0.001 (0.003)	Loss 1.5808 (1.7050)	Prec@1 57.500 (54.454)	Prec@5 87.500 (83.456)
Epoch: [69][4760/9018]	Time 0.585 (0.622)	Data 0.001 (0.003)	Loss 1.6012 (1.7050)	Prec@1 56.500 (54.453)	Prec@5 84.000 (83.454)
Epoch: [69][4770/9018]	Time 0.642 (0.622)	Data 0.015 (0.003)	Loss 1.7117 (1.7051)	Prec@1 52.000 (54.452)	Prec@5 81.500 (83.452)
Epoch: [69][4780/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.9391 (1.7052)	Prec@1 55.000 (54.455)	Prec@5 77.000 (83.451)
Epoch: [69][4790/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 1.8388 (1.7052)	Prec@1 51.500 (54.457)	Prec@5 81.000 (83.450)
Epoch: [69][4800/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7159 (1.7052)	Prec@1 55.500 (54.454)	Prec@5 80.500 (83.450)
Epoch: [69][4810/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7404 (1.7053)	Prec@1 58.500 (54.451)	Prec@5 86.000 (83.449)
Epoch: [69][4820/9018]	Time 0.735 (0.622)	Data 0.003 (0.003)	Loss 1.7968 (1.7053)	Prec@1 53.500 (54.450)	Prec@5 84.000 (83.450)
Epoch: [69][4830/9018]	Time 0.616 (0.622)	Data 0.002 (0.003)	Loss 1.6707 (1.7052)	Prec@1 54.500 (54.451)	Prec@5 81.500 (83.452)
Epoch: [69][4840/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.6432 (1.7052)	Prec@1 54.500 (54.451)	Prec@5 85.500 (83.454)
Epoch: [69][4850/9018]	Time 0.635 (0.622)	Data 0.001 (0.003)	Loss 1.7709 (1.7052)	Prec@1 57.000 (54.451)	Prec@5 83.000 (83.453)
Epoch: [69][4860/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.5716 (1.7052)	Prec@1 58.000 (54.455)	Prec@5 86.500 (83.452)
Epoch: [69][4870/9018]	Time 0.748 (0.622)	Data 0.001 (0.003)	Loss 1.6924 (1.7053)	Prec@1 52.500 (54.451)	Prec@5 84.500 (83.452)
Epoch: [69][4880/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.6098 (1.7053)	Prec@1 57.000 (54.448)	Prec@5 83.500 (83.452)
Epoch: [69][4890/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7079 (1.7055)	Prec@1 53.500 (54.442)	Prec@5 82.000 (83.448)
Epoch: [69][4900/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.5719 (1.7053)	Prec@1 56.500 (54.449)	Prec@5 83.000 (83.449)
Epoch: [69][4910/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.5222 (1.7053)	Prec@1 59.500 (54.449)	Prec@5 87.500 (83.450)
Epoch: [69][4920/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.7514 (1.7053)	Prec@1 49.000 (54.445)	Prec@5 84.000 (83.449)
Epoch: [69][4930/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.5496 (1.7052)	Prec@1 55.000 (54.445)	Prec@5 89.000 (83.452)
Epoch: [69][4940/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.8582 (1.7051)	Prec@1 53.500 (54.445)	Prec@5 81.000 (83.454)
Epoch: [69][4950/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.8307 (1.7051)	Prec@1 53.000 (54.446)	Prec@5 80.500 (83.454)
Epoch: [69][4960/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7139 (1.7052)	Prec@1 52.500 (54.446)	Prec@5 84.000 (83.454)
Epoch: [69][4970/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.5872 (1.7052)	Prec@1 58.500 (54.450)	Prec@5 83.500 (83.456)
Epoch: [69][4980/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.6704 (1.7052)	Prec@1 55.000 (54.454)	Prec@5 81.000 (83.453)
Epoch: [69][4990/9018]	Time 0.647 (0.622)	Data 0.001 (0.003)	Loss 1.6681 (1.7053)	Prec@1 55.500 (54.456)	Prec@5 83.000 (83.452)
Epoch: [69][5000/9018]	Time 0.644 (0.622)	Data 0.001 (0.003)	Loss 1.7698 (1.7053)	Prec@1 56.500 (54.454)	Prec@5 82.500 (83.449)
Epoch: [69][5010/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.9224 (1.7053)	Prec@1 50.500 (54.455)	Prec@5 76.500 (83.449)
Epoch: [69][5020/9018]	Time 0.597 (0.622)	Data 0.013 (0.003)	Loss 1.5543 (1.7053)	Prec@1 55.500 (54.456)	Prec@5 88.000 (83.450)
Epoch: [69][5030/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.7118 (1.7053)	Prec@1 50.500 (54.455)	Prec@5 86.500 (83.450)
Epoch: [69][5040/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7953 (1.7053)	Prec@1 51.000 (54.453)	Prec@5 81.500 (83.450)
Epoch: [69][5050/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.6779 (1.7053)	Prec@1 54.500 (54.454)	Prec@5 80.500 (83.449)
Epoch: [69][5060/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.7192 (1.7053)	Prec@1 53.500 (54.452)	Prec@5 82.000 (83.448)
Epoch: [69][5070/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5024 (1.7053)	Prec@1 60.000 (54.452)	Prec@5 85.000 (83.446)
Epoch: [69][5080/9018]	Time 0.602 (0.622)	Data 0.008 (0.003)	Loss 1.5952 (1.7053)	Prec@1 54.000 (54.452)	Prec@5 85.500 (83.446)
Epoch: [69][5090/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.5809 (1.7053)	Prec@1 59.500 (54.453)	Prec@5 85.500 (83.448)
Epoch: [69][5100/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.6021 (1.7052)	Prec@1 61.000 (54.456)	Prec@5 82.500 (83.449)
Epoch: [69][5110/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.7126 (1.7053)	Prec@1 57.500 (54.455)	Prec@5 83.500 (83.448)
Epoch: [69][5120/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.8394 (1.7054)	Prec@1 48.500 (54.453)	Prec@5 79.500 (83.445)
Epoch: [69][5130/9018]	Time 0.618 (0.622)	Data 0.015 (0.003)	Loss 1.6854 (1.7054)	Prec@1 58.000 (54.454)	Prec@5 81.500 (83.442)
Epoch: [69][5140/9018]	Time 0.642 (0.622)	Data 0.001 (0.003)	Loss 1.6004 (1.7053)	Prec@1 60.000 (54.454)	Prec@5 84.500 (83.444)
Epoch: [69][5150/9018]	Time 0.834 (0.623)	Data 0.001 (0.003)	Loss 1.5631 (1.7052)	Prec@1 59.500 (54.460)	Prec@5 86.000 (83.445)
Epoch: [69][5160/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.8506 (1.7053)	Prec@1 53.000 (54.461)	Prec@5 81.500 (83.445)
Epoch: [69][5170/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.8851 (1.7054)	Prec@1 53.000 (54.459)	Prec@5 79.500 (83.442)
Epoch: [69][5180/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.8147 (1.7055)	Prec@1 52.500 (54.459)	Prec@5 79.000 (83.441)
Epoch: [69][5190/9018]	Time 0.593 (0.623)	Data 0.002 (0.003)	Loss 1.5407 (1.7054)	Prec@1 58.000 (54.459)	Prec@5 86.500 (83.444)
Epoch: [69][5200/9018]	Time 0.769 (0.623)	Data 0.001 (0.003)	Loss 1.5904 (1.7055)	Prec@1 56.000 (54.458)	Prec@5 85.000 (83.443)
Epoch: [69][5210/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.6651 (1.7055)	Prec@1 54.000 (54.459)	Prec@5 84.500 (83.442)
Epoch: [69][5220/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7099 (1.7054)	Prec@1 56.500 (54.462)	Prec@5 82.500 (83.443)
Epoch: [69][5230/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7498 (1.7055)	Prec@1 54.000 (54.460)	Prec@5 84.500 (83.441)
Epoch: [69][5240/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6638 (1.7055)	Prec@1 54.000 (54.460)	Prec@5 84.000 (83.442)
Epoch: [69][5250/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 2.0168 (1.7055)	Prec@1 52.000 (54.461)	Prec@5 77.500 (83.444)
Epoch: [69][5260/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8189 (1.7055)	Prec@1 53.000 (54.463)	Prec@5 80.000 (83.443)
Epoch: [69][5270/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7872 (1.7054)	Prec@1 49.000 (54.466)	Prec@5 85.000 (83.447)
Epoch: [69][5280/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7929 (1.7054)	Prec@1 52.000 (54.467)	Prec@5 77.500 (83.447)
Epoch: [69][5290/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7841 (1.7054)	Prec@1 51.000 (54.464)	Prec@5 82.000 (83.445)
Epoch: [69][5300/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7070 (1.7054)	Prec@1 52.000 (54.465)	Prec@5 83.500 (83.446)
Epoch: [69][5310/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6585 (1.7055)	Prec@1 55.500 (54.461)	Prec@5 86.000 (83.445)
Epoch: [69][5320/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7734 (1.7056)	Prec@1 53.500 (54.461)	Prec@5 81.000 (83.447)
Epoch: [69][5330/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6637 (1.7056)	Prec@1 57.000 (54.460)	Prec@5 83.500 (83.446)
Epoch: [69][5340/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.5898 (1.7055)	Prec@1 54.500 (54.462)	Prec@5 85.500 (83.447)
Epoch: [69][5350/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5833 (1.7056)	Prec@1 60.500 (54.462)	Prec@5 86.000 (83.446)
Epoch: [69][5360/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.6208 (1.7054)	Prec@1 55.500 (54.467)	Prec@5 85.000 (83.447)
Epoch: [69][5370/9018]	Time 0.651 (0.623)	Data 0.001 (0.003)	Loss 1.6530 (1.7055)	Prec@1 51.500 (54.463)	Prec@5 84.000 (83.445)
Epoch: [69][5380/9018]	Time 0.625 (0.623)	Data 0.017 (0.003)	Loss 1.6367 (1.7055)	Prec@1 57.500 (54.462)	Prec@5 82.500 (83.446)
Epoch: [69][5390/9018]	Time 0.629 (0.623)	Data 0.002 (0.003)	Loss 1.7769 (1.7055)	Prec@1 54.500 (54.460)	Prec@5 81.000 (83.448)
Epoch: [69][5400/9018]	Time 0.607 (0.623)	Data 0.003 (0.003)	Loss 1.5931 (1.7056)	Prec@1 59.000 (54.460)	Prec@5 84.000 (83.445)
Epoch: [69][5410/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7858 (1.7057)	Prec@1 52.500 (54.457)	Prec@5 82.000 (83.446)
Epoch: [69][5420/9018]	Time 0.632 (0.623)	Data 0.027 (0.003)	Loss 1.6893 (1.7058)	Prec@1 57.000 (54.455)	Prec@5 86.000 (83.446)
Epoch: [69][5430/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.7351 (1.7057)	Prec@1 58.500 (54.458)	Prec@5 79.500 (83.446)
Epoch: [69][5440/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 2.0167 (1.7057)	Prec@1 45.500 (54.456)	Prec@5 80.500 (83.446)
Epoch: [69][5450/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.8148 (1.7057)	Prec@1 51.000 (54.455)	Prec@5 83.000 (83.445)
Epoch: [69][5460/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8222 (1.7058)	Prec@1 54.000 (54.451)	Prec@5 81.500 (83.445)
Epoch: [69][5470/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7804 (1.7058)	Prec@1 51.000 (54.450)	Prec@5 83.500 (83.447)
Epoch: [69][5480/9018]	Time 0.813 (0.623)	Data 0.001 (0.003)	Loss 1.5981 (1.7057)	Prec@1 52.500 (54.451)	Prec@5 85.500 (83.447)
Epoch: [69][5490/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.9027 (1.7059)	Prec@1 55.000 (54.449)	Prec@5 79.500 (83.444)
Epoch: [69][5500/9018]	Time 0.631 (0.623)	Data 0.016 (0.003)	Loss 1.4138 (1.7059)	Prec@1 58.000 (54.449)	Prec@5 87.500 (83.444)
Epoch: [69][5510/9018]	Time 0.657 (0.623)	Data 0.001 (0.003)	Loss 1.6508 (1.7058)	Prec@1 56.500 (54.448)	Prec@5 84.500 (83.446)
Epoch: [69][5520/9018]	Time 0.635 (0.623)	Data 0.015 (0.003)	Loss 1.8374 (1.7058)	Prec@1 47.500 (54.445)	Prec@5 81.000 (83.445)
Epoch: [69][5530/9018]	Time 0.741 (0.623)	Data 0.001 (0.003)	Loss 1.6876 (1.7058)	Prec@1 56.500 (54.446)	Prec@5 86.000 (83.446)
Epoch: [69][5540/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.6789 (1.7058)	Prec@1 52.500 (54.446)	Prec@5 87.000 (83.448)
Epoch: [69][5550/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.5227 (1.7058)	Prec@1 57.000 (54.446)	Prec@5 83.000 (83.446)
Epoch: [69][5560/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7827 (1.7058)	Prec@1 53.500 (54.447)	Prec@5 83.500 (83.446)
Epoch: [69][5570/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.5857 (1.7058)	Prec@1 58.500 (54.446)	Prec@5 83.000 (83.445)
Epoch: [69][5580/9018]	Time 0.634 (0.623)	Data 0.015 (0.003)	Loss 1.4561 (1.7057)	Prec@1 65.500 (54.449)	Prec@5 85.500 (83.445)
Epoch: [69][5590/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.7381 (1.7057)	Prec@1 51.000 (54.447)	Prec@5 85.000 (83.445)
Epoch: [69][5600/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.5297 (1.7056)	Prec@1 60.000 (54.450)	Prec@5 86.500 (83.445)
Epoch: [69][5610/9018]	Time 0.611 (0.623)	Data 0.012 (0.003)	Loss 1.5427 (1.7057)	Prec@1 58.000 (54.451)	Prec@5 89.000 (83.446)
Epoch: [69][5620/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7156 (1.7057)	Prec@1 55.000 (54.454)	Prec@5 83.000 (83.446)
Epoch: [69][5630/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.5498 (1.7058)	Prec@1 61.000 (54.452)	Prec@5 86.000 (83.444)
Epoch: [69][5640/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.6399 (1.7057)	Prec@1 59.000 (54.453)	Prec@5 83.500 (83.445)
Epoch: [69][5650/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6713 (1.7058)	Prec@1 56.000 (54.451)	Prec@5 84.000 (83.443)
Epoch: [69][5660/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.8302 (1.7058)	Prec@1 47.000 (54.447)	Prec@5 81.500 (83.443)
Epoch: [69][5670/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6938 (1.7059)	Prec@1 57.000 (54.445)	Prec@5 85.000 (83.443)
Epoch: [69][5680/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.6819 (1.7060)	Prec@1 54.000 (54.443)	Prec@5 81.500 (83.442)
Epoch: [69][5690/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6905 (1.7060)	Prec@1 51.500 (54.442)	Prec@5 85.000 (83.443)
Epoch: [69][5700/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.5636 (1.7060)	Prec@1 58.000 (54.442)	Prec@5 87.000 (83.444)
Epoch: [69][5710/9018]	Time 0.642 (0.623)	Data 0.012 (0.003)	Loss 1.4275 (1.7060)	Prec@1 60.500 (54.446)	Prec@5 85.000 (83.444)
Epoch: [69][5720/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.7929 (1.7060)	Prec@1 53.000 (54.446)	Prec@5 81.000 (83.444)
Epoch: [69][5730/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.7710 (1.7060)	Prec@1 55.500 (54.444)	Prec@5 83.000 (83.443)
Epoch: [69][5740/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.5029 (1.7060)	Prec@1 58.000 (54.443)	Prec@5 86.500 (83.442)
Epoch: [69][5750/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6008 (1.7059)	Prec@1 57.000 (54.445)	Prec@5 84.500 (83.444)
Epoch: [69][5760/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.5653 (1.7059)	Prec@1 58.000 (54.444)	Prec@5 87.000 (83.445)
Epoch: [69][5770/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.6833 (1.7059)	Prec@1 57.000 (54.444)	Prec@5 83.500 (83.444)
Epoch: [69][5780/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6507 (1.7059)	Prec@1 53.500 (54.441)	Prec@5 84.000 (83.443)
Epoch: [69][5790/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.6648 (1.7059)	Prec@1 55.500 (54.444)	Prec@5 85.000 (83.445)
Epoch: [69][5800/9018]	Time 0.626 (0.623)	Data 0.002 (0.003)	Loss 1.7232 (1.7058)	Prec@1 51.500 (54.443)	Prec@5 83.500 (83.444)
Epoch: [69][5810/9018]	Time 0.753 (0.623)	Data 0.001 (0.003)	Loss 1.8585 (1.7058)	Prec@1 50.000 (54.442)	Prec@5 81.500 (83.445)
Epoch: [69][5820/9018]	Time 0.610 (0.623)	Data 0.017 (0.003)	Loss 1.7732 (1.7058)	Prec@1 50.500 (54.440)	Prec@5 82.500 (83.446)
Epoch: [69][5830/9018]	Time 0.623 (0.623)	Data 0.005 (0.003)	Loss 1.7076 (1.7058)	Prec@1 53.500 (54.440)	Prec@5 83.000 (83.444)
Epoch: [69][5840/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.6793 (1.7058)	Prec@1 55.000 (54.440)	Prec@5 84.500 (83.442)
Epoch: [69][5850/9018]	Time 0.602 (0.623)	Data 0.002 (0.003)	Loss 1.3982 (1.7057)	Prec@1 59.500 (54.445)	Prec@5 90.000 (83.444)
Epoch: [69][5860/9018]	Time 0.729 (0.623)	Data 0.001 (0.003)	Loss 1.7661 (1.7057)	Prec@1 57.000 (54.444)	Prec@5 80.000 (83.445)
Epoch: [69][5870/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7901 (1.7057)	Prec@1 54.500 (54.444)	Prec@5 82.500 (83.444)
Epoch: [69][5880/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.9168 (1.7057)	Prec@1 49.000 (54.446)	Prec@5 81.000 (83.446)
Epoch: [69][5890/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.9004 (1.7057)	Prec@1 54.000 (54.443)	Prec@5 79.500 (83.445)
Epoch: [69][5900/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.6843 (1.7057)	Prec@1 55.500 (54.445)	Prec@5 85.500 (83.445)
Epoch: [69][5910/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7063 (1.7058)	Prec@1 53.500 (54.444)	Prec@5 83.000 (83.443)
Epoch: [69][5920/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7247 (1.7058)	Prec@1 52.500 (54.442)	Prec@5 82.000 (83.444)
Epoch: [69][5930/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8863 (1.7058)	Prec@1 52.000 (54.440)	Prec@5 82.500 (83.441)
Epoch: [69][5940/9018]	Time 0.616 (0.623)	Data 0.002 (0.003)	Loss 1.7127 (1.7059)	Prec@1 53.500 (54.437)	Prec@5 86.500 (83.443)
Epoch: [69][5950/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7517 (1.7059)	Prec@1 53.500 (54.438)	Prec@5 81.500 (83.444)
Epoch: [69][5960/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8038 (1.7059)	Prec@1 55.000 (54.438)	Prec@5 80.000 (83.445)
Epoch: [69][5970/9018]	Time 0.665 (0.623)	Data 0.001 (0.003)	Loss 1.7791 (1.7060)	Prec@1 55.000 (54.435)	Prec@5 86.500 (83.445)
Epoch: [69][5980/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7587 (1.7060)	Prec@1 57.000 (54.434)	Prec@5 83.500 (83.444)
Epoch: [69][5990/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7956 (1.7062)	Prec@1 54.000 (54.430)	Prec@5 81.500 (83.441)
Epoch: [69][6000/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7028 (1.7062)	Prec@1 54.000 (54.430)	Prec@5 84.000 (83.441)
Epoch: [69][6010/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.4183 (1.7062)	Prec@1 59.500 (54.429)	Prec@5 88.000 (83.442)
Epoch: [69][6020/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7533 (1.7062)	Prec@1 54.000 (54.429)	Prec@5 81.000 (83.441)
Epoch: [69][6030/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6830 (1.7063)	Prec@1 54.000 (54.426)	Prec@5 84.000 (83.440)
Epoch: [69][6040/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7930 (1.7063)	Prec@1 51.000 (54.426)	Prec@5 84.500 (83.439)
Epoch: [69][6050/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.8929 (1.7065)	Prec@1 51.500 (54.420)	Prec@5 82.000 (83.437)
Epoch: [69][6060/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7817 (1.7065)	Prec@1 53.500 (54.422)	Prec@5 81.500 (83.436)
Epoch: [69][6070/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8261 (1.7066)	Prec@1 54.500 (54.421)	Prec@5 81.500 (83.435)
Epoch: [69][6080/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.5442 (1.7064)	Prec@1 62.000 (54.427)	Prec@5 85.500 (83.437)
Epoch: [69][6090/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8206 (1.7064)	Prec@1 53.000 (54.427)	Prec@5 82.000 (83.436)
Epoch: [69][6100/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.8718 (1.7065)	Prec@1 48.000 (54.424)	Prec@5 82.000 (83.436)
Epoch: [69][6110/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7977 (1.7067)	Prec@1 52.500 (54.421)	Prec@5 78.000 (83.433)
Epoch: [69][6120/9018]	Time 0.639 (0.623)	Data 0.002 (0.003)	Loss 1.6592 (1.7066)	Prec@1 53.000 (54.420)	Prec@5 84.500 (83.434)
Epoch: [69][6130/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6371 (1.7067)	Prec@1 57.000 (54.421)	Prec@5 86.500 (83.435)
Epoch: [69][6140/9018]	Time 0.726 (0.623)	Data 0.001 (0.003)	Loss 1.7111 (1.7067)	Prec@1 56.000 (54.420)	Prec@5 80.500 (83.434)
Epoch: [69][6150/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.7356 (1.7067)	Prec@1 53.000 (54.421)	Prec@5 82.500 (83.435)
Epoch: [69][6160/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7492 (1.7066)	Prec@1 55.500 (54.421)	Prec@5 81.000 (83.435)
Epoch: [69][6170/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.9403 (1.7066)	Prec@1 48.500 (54.421)	Prec@5 80.000 (83.435)
Epoch: [69][6180/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6714 (1.7065)	Prec@1 51.000 (54.422)	Prec@5 84.000 (83.436)
Epoch: [69][6190/9018]	Time 0.729 (0.623)	Data 0.003 (0.003)	Loss 1.5361 (1.7065)	Prec@1 59.500 (54.420)	Prec@5 84.500 (83.436)
Epoch: [69][6200/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.5904 (1.7065)	Prec@1 55.500 (54.422)	Prec@5 84.000 (83.437)
Epoch: [69][6210/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8387 (1.7065)	Prec@1 49.500 (54.422)	Prec@5 80.500 (83.434)
Epoch: [69][6220/9018]	Time 0.606 (0.623)	Data 0.012 (0.003)	Loss 1.7023 (1.7066)	Prec@1 54.000 (54.419)	Prec@5 84.000 (83.434)
Epoch: [69][6230/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.9991 (1.7067)	Prec@1 43.500 (54.416)	Prec@5 78.000 (83.433)
Epoch: [69][6240/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.5208 (1.7066)	Prec@1 57.500 (54.419)	Prec@5 85.000 (83.435)
Epoch: [69][6250/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8515 (1.7066)	Prec@1 45.000 (54.418)	Prec@5 84.000 (83.436)
Epoch: [69][6260/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6159 (1.7066)	Prec@1 58.000 (54.418)	Prec@5 82.500 (83.439)
Epoch: [69][6270/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6477 (1.7066)	Prec@1 54.500 (54.415)	Prec@5 81.500 (83.438)
Epoch: [69][6280/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7415 (1.7067)	Prec@1 56.000 (54.414)	Prec@5 82.500 (83.437)
Epoch: [69][6290/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7904 (1.7069)	Prec@1 47.500 (54.408)	Prec@5 81.500 (83.434)
Epoch: [69][6300/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7075 (1.7070)	Prec@1 51.000 (54.405)	Prec@5 87.000 (83.433)
Epoch: [69][6310/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8309 (1.7071)	Prec@1 53.000 (54.403)	Prec@5 81.500 (83.432)
Epoch: [69][6320/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6962 (1.7071)	Prec@1 57.000 (54.404)	Prec@5 82.500 (83.432)
Epoch: [69][6330/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6929 (1.7072)	Prec@1 55.000 (54.403)	Prec@5 86.000 (83.432)
Epoch: [69][6340/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7254 (1.7071)	Prec@1 52.500 (54.406)	Prec@5 80.500 (83.435)
Epoch: [69][6350/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7374 (1.7070)	Prec@1 57.000 (54.407)	Prec@5 79.500 (83.436)
Epoch: [69][6360/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7013 (1.7071)	Prec@1 55.500 (54.406)	Prec@5 87.000 (83.435)
Epoch: [69][6370/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.6428 (1.7070)	Prec@1 49.500 (54.407)	Prec@5 87.000 (83.436)
Epoch: [69][6380/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.5776 (1.7071)	Prec@1 59.500 (54.404)	Prec@5 86.000 (83.434)
Epoch: [69][6390/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6021 (1.7069)	Prec@1 58.000 (54.407)	Prec@5 84.500 (83.437)
Epoch: [69][6400/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.8912 (1.7070)	Prec@1 52.000 (54.407)	Prec@5 78.500 (83.436)
Epoch: [69][6410/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8514 (1.7071)	Prec@1 54.000 (54.406)	Prec@5 79.500 (83.434)
Epoch: [69][6420/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.6361 (1.7071)	Prec@1 56.500 (54.407)	Prec@5 84.000 (83.434)
Epoch: [69][6430/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7359 (1.7072)	Prec@1 52.000 (54.404)	Prec@5 82.500 (83.433)
Epoch: [69][6440/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.5500 (1.7072)	Prec@1 56.000 (54.404)	Prec@5 86.500 (83.432)
Epoch: [69][6450/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6419 (1.7072)	Prec@1 55.500 (54.405)	Prec@5 86.500 (83.433)
Epoch: [69][6460/9018]	Time 0.604 (0.623)	Data 0.017 (0.003)	Loss 1.5823 (1.7072)	Prec@1 51.500 (54.403)	Prec@5 87.000 (83.432)
Epoch: [69][6470/9018]	Time 0.779 (0.623)	Data 0.001 (0.003)	Loss 1.6399 (1.7072)	Prec@1 57.500 (54.405)	Prec@5 86.000 (83.434)
Epoch: [69][6480/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.9652 (1.7072)	Prec@1 51.000 (54.404)	Prec@5 78.500 (83.433)
Epoch: [69][6490/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.5335 (1.7072)	Prec@1 58.000 (54.405)	Prec@5 86.500 (83.431)
Epoch: [69][6500/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.6297 (1.7070)	Prec@1 55.000 (54.410)	Prec@5 84.000 (83.433)
Epoch: [69][6510/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.4721 (1.7070)	Prec@1 63.500 (54.411)	Prec@5 85.500 (83.432)
Epoch: [69][6520/9018]	Time 0.776 (0.623)	Data 0.001 (0.003)	Loss 1.6544 (1.7071)	Prec@1 52.500 (54.411)	Prec@5 83.500 (83.432)
Epoch: [69][6530/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6861 (1.7071)	Prec@1 54.000 (54.411)	Prec@5 86.500 (83.430)
Epoch: [69][6540/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.7182 (1.7072)	Prec@1 53.000 (54.412)	Prec@5 84.000 (83.430)
Epoch: [69][6550/9018]	Time 0.624 (0.623)	Data 0.002 (0.003)	Loss 1.7381 (1.7072)	Prec@1 57.000 (54.413)	Prec@5 81.500 (83.430)
Epoch: [69][6560/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.5549 (1.7072)	Prec@1 58.500 (54.412)	Prec@5 86.500 (83.430)
Epoch: [69][6570/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.5475 (1.7071)	Prec@1 57.000 (54.414)	Prec@5 86.500 (83.430)
Epoch: [69][6580/9018]	Time 0.617 (0.623)	Data 0.015 (0.003)	Loss 1.6479 (1.7072)	Prec@1 56.500 (54.413)	Prec@5 84.500 (83.430)
Epoch: [69][6590/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.6268 (1.7072)	Prec@1 53.500 (54.413)	Prec@5 87.000 (83.429)
Epoch: [69][6600/9018]	Time 0.645 (0.623)	Data 0.001 (0.003)	Loss 1.5639 (1.7072)	Prec@1 57.000 (54.414)	Prec@5 84.500 (83.429)
Epoch: [69][6610/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6581 (1.7073)	Prec@1 52.500 (54.412)	Prec@5 86.000 (83.427)
Epoch: [69][6620/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.5580 (1.7072)	Prec@1 58.000 (54.415)	Prec@5 85.500 (83.429)
Epoch: [69][6630/9018]	Time 0.626 (0.623)	Data 0.015 (0.003)	Loss 1.8439 (1.7071)	Prec@1 52.000 (54.415)	Prec@5 80.000 (83.430)
Epoch: [69][6640/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.3884 (1.7070)	Prec@1 61.000 (54.418)	Prec@5 87.000 (83.431)
Epoch: [69][6650/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7344 (1.7070)	Prec@1 52.500 (54.415)	Prec@5 84.000 (83.431)
Epoch: [69][6660/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.5539 (1.7070)	Prec@1 57.500 (54.417)	Prec@5 87.000 (83.432)
Epoch: [69][6670/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7081 (1.7070)	Prec@1 54.000 (54.416)	Prec@5 83.500 (83.431)
Epoch: [69][6680/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6670 (1.7071)	Prec@1 57.500 (54.416)	Prec@5 82.000 (83.433)
Epoch: [69][6690/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.8603 (1.7071)	Prec@1 51.500 (54.414)	Prec@5 82.500 (83.429)
Epoch: [69][6700/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.4107 (1.7071)	Prec@1 60.500 (54.418)	Prec@5 90.000 (83.430)
Epoch: [69][6710/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6923 (1.7071)	Prec@1 54.500 (54.416)	Prec@5 84.000 (83.430)
Epoch: [69][6720/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7865 (1.7070)	Prec@1 54.500 (54.416)	Prec@5 81.500 (83.431)
Epoch: [69][6730/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7173 (1.7070)	Prec@1 53.500 (54.416)	Prec@5 85.500 (83.433)
Epoch: [69][6740/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7022 (1.7069)	Prec@1 53.000 (54.417)	Prec@5 81.000 (83.432)
Epoch: [69][6750/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.6018 (1.7069)	Prec@1 56.500 (54.417)	Prec@5 86.000 (83.432)
Epoch: [69][6760/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7703 (1.7070)	Prec@1 54.500 (54.416)	Prec@5 83.000 (83.431)
Epoch: [69][6770/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7441 (1.7071)	Prec@1 54.000 (54.414)	Prec@5 81.500 (83.430)
Epoch: [69][6780/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6715 (1.7072)	Prec@1 55.000 (54.410)	Prec@5 82.500 (83.428)
Epoch: [69][6790/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8805 (1.7073)	Prec@1 57.000 (54.411)	Prec@5 80.000 (83.428)
Epoch: [69][6800/9018]	Time 0.759 (0.623)	Data 0.001 (0.003)	Loss 1.7862 (1.7073)	Prec@1 51.000 (54.410)	Prec@5 79.500 (83.428)
Epoch: [69][6810/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.8993 (1.7072)	Prec@1 54.000 (54.412)	Prec@5 82.000 (83.430)
Epoch: [69][6820/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.6171 (1.7072)	Prec@1 55.500 (54.411)	Prec@5 81.500 (83.429)
Epoch: [69][6830/9018]	Time 0.589 (0.623)	Data 0.001 (0.003)	Loss 1.6659 (1.7072)	Prec@1 55.000 (54.411)	Prec@5 87.000 (83.428)
Epoch: [69][6840/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7524 (1.7071)	Prec@1 53.500 (54.412)	Prec@5 82.500 (83.428)
Epoch: [69][6850/9018]	Time 0.764 (0.623)	Data 0.001 (0.003)	Loss 1.7213 (1.7072)	Prec@1 51.500 (54.413)	Prec@5 83.000 (83.425)
Epoch: [69][6860/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.5424 (1.7072)	Prec@1 58.500 (54.411)	Prec@5 88.500 (83.426)
Epoch: [69][6870/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7292 (1.7071)	Prec@1 56.000 (54.415)	Prec@5 83.000 (83.426)
Epoch: [69][6880/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.8432 (1.7072)	Prec@1 50.000 (54.413)	Prec@5 80.000 (83.426)
Epoch: [69][6890/9018]	Time 0.616 (0.623)	Data 0.010 (0.003)	Loss 1.6333 (1.7073)	Prec@1 56.500 (54.411)	Prec@5 83.000 (83.424)
Epoch: [69][6900/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.9188 (1.7074)	Prec@1 52.000 (54.409)	Prec@5 80.500 (83.423)
Epoch: [69][6910/9018]	Time 0.630 (0.623)	Data 0.013 (0.003)	Loss 1.8341 (1.7073)	Prec@1 52.000 (54.412)	Prec@5 79.000 (83.422)
Epoch: [69][6920/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7542 (1.7074)	Prec@1 55.500 (54.411)	Prec@5 80.500 (83.421)
Epoch: [69][6930/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.5449 (1.7074)	Prec@1 56.500 (54.408)	Prec@5 85.500 (83.421)
Epoch: [69][6940/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7380 (1.7074)	Prec@1 57.000 (54.409)	Prec@5 81.000 (83.422)
Epoch: [69][6950/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.6803 (1.7073)	Prec@1 54.000 (54.410)	Prec@5 84.000 (83.425)
Epoch: [69][6960/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.8796 (1.7073)	Prec@1 51.000 (54.407)	Prec@5 80.500 (83.425)
Epoch: [69][6970/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.6758 (1.7074)	Prec@1 57.500 (54.405)	Prec@5 83.500 (83.424)
Epoch: [69][6980/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.5713 (1.7073)	Prec@1 60.500 (54.405)	Prec@5 84.500 (83.424)
Epoch: [69][6990/9018]	Time 0.634 (0.623)	Data 0.016 (0.003)	Loss 1.7118 (1.7073)	Prec@1 56.000 (54.405)	Prec@5 84.500 (83.424)
Epoch: [69][7000/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7151 (1.7073)	Prec@1 57.000 (54.406)	Prec@5 84.500 (83.426)
Epoch: [69][7010/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6679 (1.7072)	Prec@1 59.000 (54.406)	Prec@5 84.500 (83.427)
Epoch: [69][7020/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.8022 (1.7073)	Prec@1 51.500 (54.406)	Prec@5 83.500 (83.426)
Epoch: [69][7030/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.5468 (1.7073)	Prec@1 54.000 (54.405)	Prec@5 87.000 (83.425)
Epoch: [69][7040/9018]	Time 0.622 (0.623)	Data 0.014 (0.003)	Loss 1.6187 (1.7073)	Prec@1 55.000 (54.405)	Prec@5 84.500 (83.426)
Epoch: [69][7050/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6968 (1.7073)	Prec@1 55.000 (54.403)	Prec@5 85.000 (83.424)
Epoch: [69][7060/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.9021 (1.7074)	Prec@1 50.500 (54.402)	Prec@5 84.500 (83.423)
Epoch: [69][7070/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.5883 (1.7074)	Prec@1 58.000 (54.403)	Prec@5 87.000 (83.422)
Epoch: [69][7080/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6286 (1.7074)	Prec@1 55.500 (54.402)	Prec@5 83.500 (83.422)
Epoch: [69][7090/9018]	Time 0.604 (0.623)	Data 0.006 (0.003)	Loss 1.6026 (1.7073)	Prec@1 58.000 (54.403)	Prec@5 84.500 (83.423)
Epoch: [69][7100/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8331 (1.7073)	Prec@1 54.500 (54.403)	Prec@5 79.000 (83.421)
Epoch: [69][7110/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.8226 (1.7074)	Prec@1 51.500 (54.402)	Prec@5 82.000 (83.421)
Epoch: [69][7120/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6961 (1.7074)	Prec@1 56.500 (54.401)	Prec@5 84.000 (83.419)
Epoch: [69][7130/9018]	Time 0.721 (0.623)	Data 0.001 (0.003)	Loss 1.6318 (1.7074)	Prec@1 54.000 (54.400)	Prec@5 86.500 (83.420)
Epoch: [69][7140/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.7717 (1.7074)	Prec@1 55.000 (54.400)	Prec@5 83.500 (83.421)
Epoch: [69][7150/9018]	Time 0.604 (0.623)	Data 0.014 (0.003)	Loss 1.7068 (1.7074)	Prec@1 52.500 (54.401)	Prec@5 85.500 (83.421)
Epoch: [69][7160/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7617 (1.7074)	Prec@1 51.000 (54.399)	Prec@5 80.500 (83.421)
Epoch: [69][7170/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6949 (1.7074)	Prec@1 54.500 (54.399)	Prec@5 84.000 (83.421)
Epoch: [69][7180/9018]	Time 0.774 (0.623)	Data 0.001 (0.003)	Loss 1.7405 (1.7074)	Prec@1 54.000 (54.400)	Prec@5 81.500 (83.420)
Epoch: [69][7190/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7666 (1.7075)	Prec@1 52.500 (54.396)	Prec@5 83.500 (83.420)
Epoch: [69][7200/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 2.0522 (1.7075)	Prec@1 53.000 (54.394)	Prec@5 75.000 (83.419)
Epoch: [69][7210/9018]	Time 0.643 (0.623)	Data 0.015 (0.003)	Loss 1.8133 (1.7076)	Prec@1 50.500 (54.392)	Prec@5 83.000 (83.419)
Epoch: [69][7220/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.5020 (1.7075)	Prec@1 55.500 (54.394)	Prec@5 88.000 (83.422)
Epoch: [69][7230/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.8762 (1.7075)	Prec@1 50.500 (54.395)	Prec@5 84.500 (83.423)
Epoch: [69][7240/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6014 (1.7074)	Prec@1 58.000 (54.396)	Prec@5 84.500 (83.422)
Epoch: [69][7250/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.4913 (1.7075)	Prec@1 59.000 (54.395)	Prec@5 86.500 (83.422)
Epoch: [69][7260/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8704 (1.7075)	Prec@1 57.500 (54.394)	Prec@5 78.000 (83.421)
Epoch: [69][7270/9018]	Time 0.652 (0.623)	Data 0.001 (0.003)	Loss 2.0025 (1.7076)	Prec@1 51.500 (54.394)	Prec@5 81.500 (83.418)
Epoch: [69][7280/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.9854 (1.7076)	Prec@1 47.500 (54.392)	Prec@5 79.000 (83.419)
Epoch: [69][7290/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.5054 (1.7076)	Prec@1 61.500 (54.393)	Prec@5 85.500 (83.418)
Epoch: [69][7300/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6018 (1.7076)	Prec@1 52.500 (54.394)	Prec@5 86.500 (83.419)
Epoch: [69][7310/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7202 (1.7077)	Prec@1 55.500 (54.395)	Prec@5 82.000 (83.417)
Epoch: [69][7320/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7099 (1.7077)	Prec@1 53.500 (54.394)	Prec@5 83.500 (83.417)
Epoch: [69][7330/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.6194 (1.7077)	Prec@1 56.000 (54.394)	Prec@5 85.000 (83.418)
Epoch: [69][7340/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6457 (1.7077)	Prec@1 55.000 (54.393)	Prec@5 85.500 (83.417)
Epoch: [69][7350/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7779 (1.7077)	Prec@1 58.500 (54.393)	Prec@5 81.500 (83.418)
Epoch: [69][7360/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6390 (1.7077)	Prec@1 60.000 (54.395)	Prec@5 82.500 (83.417)
Epoch: [69][7370/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.7162 (1.7077)	Prec@1 55.500 (54.394)	Prec@5 84.000 (83.416)
Epoch: [69][7380/9018]	Time 0.604 (0.623)	Data 0.006 (0.003)	Loss 1.6215 (1.7078)	Prec@1 54.500 (54.394)	Prec@5 82.500 (83.416)
Epoch: [69][7390/9018]	Time 0.622 (0.623)	Data 0.014 (0.003)	Loss 1.6132 (1.7078)	Prec@1 58.500 (54.395)	Prec@5 85.000 (83.415)
Epoch: [69][7400/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.8834 (1.7077)	Prec@1 52.500 (54.396)	Prec@5 80.500 (83.416)
Epoch: [69][7410/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7458 (1.7076)	Prec@1 51.500 (54.398)	Prec@5 83.000 (83.416)
Epoch: [69][7420/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6169 (1.7076)	Prec@1 57.000 (54.399)	Prec@5 84.500 (83.417)
Epoch: [69][7430/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.6355 (1.7075)	Prec@1 57.000 (54.400)	Prec@5 84.500 (83.420)
Epoch: [69][7440/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7285 (1.7076)	Prec@1 53.000 (54.400)	Prec@5 81.000 (83.418)
Epoch: [69][7450/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 2.0270 (1.7076)	Prec@1 49.000 (54.400)	Prec@5 77.500 (83.417)
Epoch: [69][7460/9018]	Time 0.766 (0.623)	Data 0.001 (0.003)	Loss 1.7755 (1.7076)	Prec@1 49.000 (54.399)	Prec@5 83.500 (83.417)
Epoch: [69][7470/9018]	Time 0.609 (0.623)	Data 0.017 (0.003)	Loss 1.9076 (1.7077)	Prec@1 52.500 (54.399)	Prec@5 81.000 (83.415)
Epoch: [69][7480/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6984 (1.7077)	Prec@1 53.500 (54.400)	Prec@5 83.500 (83.413)
Epoch: [69][7490/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8549 (1.7077)	Prec@1 48.000 (54.401)	Prec@5 83.500 (83.414)
Epoch: [69][7500/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7228 (1.7078)	Prec@1 47.000 (54.398)	Prec@5 87.500 (83.413)
Epoch: [69][7510/9018]	Time 0.763 (0.623)	Data 0.009 (0.003)	Loss 1.7007 (1.7078)	Prec@1 54.000 (54.396)	Prec@5 83.500 (83.412)
Epoch: [69][7520/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7680 (1.7079)	Prec@1 52.000 (54.396)	Prec@5 81.500 (83.412)
Epoch: [69][7530/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.4873 (1.7079)	Prec@1 56.500 (54.395)	Prec@5 88.000 (83.411)
Epoch: [69][7540/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6312 (1.7080)	Prec@1 57.000 (54.393)	Prec@5 84.000 (83.410)
Epoch: [69][7550/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.5915 (1.7080)	Prec@1 59.500 (54.393)	Prec@5 85.500 (83.409)
Epoch: [69][7560/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6729 (1.7079)	Prec@1 55.500 (54.394)	Prec@5 84.500 (83.412)
Epoch: [69][7570/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.4864 (1.7079)	Prec@1 61.500 (54.396)	Prec@5 86.500 (83.412)
Epoch: [69][7580/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.9982 (1.7079)	Prec@1 47.500 (54.394)	Prec@5 75.500 (83.410)
Epoch: [69][7590/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6169 (1.7079)	Prec@1 59.000 (54.394)	Prec@5 83.000 (83.410)
Epoch: [69][7600/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7684 (1.7079)	Prec@1 52.000 (54.394)	Prec@5 82.500 (83.410)
Epoch: [69][7610/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6297 (1.7080)	Prec@1 55.000 (54.393)	Prec@5 83.000 (83.408)
Epoch: [69][7620/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6460 (1.7080)	Prec@1 58.500 (54.394)	Prec@5 87.500 (83.408)
Epoch: [69][7630/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8563 (1.7079)	Prec@1 48.000 (54.394)	Prec@5 82.000 (83.409)
Epoch: [69][7640/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7408 (1.7080)	Prec@1 49.500 (54.392)	Prec@5 86.000 (83.409)
Epoch: [69][7650/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6457 (1.7079)	Prec@1 55.500 (54.393)	Prec@5 84.500 (83.411)
Epoch: [69][7660/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.9861 (1.7079)	Prec@1 47.000 (54.394)	Prec@5 77.500 (83.410)
Epoch: [69][7670/9018]	Time 0.589 (0.623)	Data 0.001 (0.003)	Loss 1.6765 (1.7079)	Prec@1 53.500 (54.395)	Prec@5 82.500 (83.410)
Epoch: [69][7680/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.8890 (1.7080)	Prec@1 54.000 (54.393)	Prec@5 76.500 (83.410)
Epoch: [69][7690/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.4590 (1.7079)	Prec@1 59.000 (54.396)	Prec@5 88.500 (83.413)
Epoch: [69][7700/9018]	Time 0.659 (0.623)	Data 0.001 (0.003)	Loss 1.6776 (1.7079)	Prec@1 53.000 (54.393)	Prec@5 84.500 (83.411)
Epoch: [69][7710/9018]	Time 0.646 (0.623)	Data 0.001 (0.003)	Loss 1.5959 (1.7079)	Prec@1 61.500 (54.394)	Prec@5 86.000 (83.409)
Epoch: [69][7720/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.8071 (1.7080)	Prec@1 50.500 (54.392)	Prec@5 83.000 (83.409)
Epoch: [69][7730/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6011 (1.7081)	Prec@1 51.000 (54.391)	Prec@5 86.500 (83.408)
Epoch: [69][7740/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6185 (1.7080)	Prec@1 54.500 (54.390)	Prec@5 84.000 (83.408)
Epoch: [69][7750/9018]	Time 0.630 (0.623)	Data 0.020 (0.003)	Loss 1.7629 (1.7081)	Prec@1 48.500 (54.391)	Prec@5 81.500 (83.407)
Epoch: [69][7760/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6562 (1.7081)	Prec@1 57.500 (54.389)	Prec@5 85.000 (83.406)
Epoch: [69][7770/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6489 (1.7081)	Prec@1 53.500 (54.391)	Prec@5 85.500 (83.407)
Epoch: [69][7780/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.5370 (1.7081)	Prec@1 54.500 (54.389)	Prec@5 88.500 (83.408)
Epoch: [69][7790/9018]	Time 0.807 (0.623)	Data 0.001 (0.003)	Loss 1.6937 (1.7081)	Prec@1 54.000 (54.387)	Prec@5 83.500 (83.407)
Epoch: [69][7800/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.8191 (1.7082)	Prec@1 54.500 (54.386)	Prec@5 80.000 (83.406)
Epoch: [69][7810/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7868 (1.7083)	Prec@1 55.000 (54.383)	Prec@5 78.500 (83.402)
Epoch: [69][7820/9018]	Time 0.651 (0.623)	Data 0.001 (0.003)	Loss 1.5831 (1.7082)	Prec@1 58.500 (54.384)	Prec@5 83.000 (83.404)
Epoch: [69][7830/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7971 (1.7083)	Prec@1 55.000 (54.382)	Prec@5 83.500 (83.403)
Epoch: [69][7840/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.4897 (1.7082)	Prec@1 57.000 (54.384)	Prec@5 88.500 (83.404)
Epoch: [69][7850/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.6159 (1.7082)	Prec@1 54.000 (54.382)	Prec@5 85.000 (83.405)
Epoch: [69][7860/9018]	Time 0.647 (0.623)	Data 0.001 (0.003)	Loss 1.7149 (1.7082)	Prec@1 55.500 (54.383)	Prec@5 79.500 (83.405)
Epoch: [69][7870/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6649 (1.7083)	Prec@1 54.500 (54.382)	Prec@5 82.000 (83.405)
Epoch: [69][7880/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6033 (1.7083)	Prec@1 55.500 (54.382)	Prec@5 86.000 (83.405)
Epoch: [69][7890/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7834 (1.7083)	Prec@1 50.000 (54.382)	Prec@5 82.500 (83.404)
Epoch: [69][7900/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.5165 (1.7083)	Prec@1 61.000 (54.382)	Prec@5 87.500 (83.404)
Epoch: [69][7910/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 2.0877 (1.7084)	Prec@1 43.000 (54.381)	Prec@5 78.000 (83.404)
Epoch: [69][7920/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8741 (1.7083)	Prec@1 57.000 (54.385)	Prec@5 77.500 (83.403)
Epoch: [69][7930/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5517 (1.7083)	Prec@1 61.000 (54.387)	Prec@5 86.000 (83.404)
Epoch: [69][7940/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8919 (1.7083)	Prec@1 47.500 (54.388)	Prec@5 82.500 (83.403)
Epoch: [69][7950/9018]	Time 0.652 (0.623)	Data 0.001 (0.003)	Loss 1.8475 (1.7083)	Prec@1 53.000 (54.389)	Prec@5 80.000 (83.403)
Epoch: [69][7960/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.7027 (1.7083)	Prec@1 55.500 (54.388)	Prec@5 80.000 (83.403)
Epoch: [69][7970/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.5379 (1.7083)	Prec@1 60.000 (54.388)	Prec@5 86.000 (83.403)
Epoch: [69][7980/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.5689 (1.7083)	Prec@1 57.000 (54.387)	Prec@5 85.000 (83.403)
Epoch: [69][7990/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.6070 (1.7084)	Prec@1 58.000 (54.386)	Prec@5 85.500 (83.402)
Epoch: [69][8000/9018]	Time 0.613 (0.623)	Data 0.002 (0.003)	Loss 1.7956 (1.7084)	Prec@1 52.500 (54.385)	Prec@5 83.000 (83.403)
Epoch: [69][8010/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7987 (1.7083)	Prec@1 52.000 (54.384)	Prec@5 82.000 (83.404)
Epoch: [69][8020/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6370 (1.7084)	Prec@1 58.500 (54.384)	Prec@5 84.500 (83.404)
Epoch: [69][8030/9018]	Time 0.604 (0.623)	Data 0.016 (0.003)	Loss 1.6903 (1.7083)	Prec@1 53.000 (54.384)	Prec@5 85.000 (83.405)
Epoch: [69][8040/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8870 (1.7084)	Prec@1 52.000 (54.383)	Prec@5 80.000 (83.406)
Epoch: [69][8050/9018]	Time 0.600 (0.623)	Data 0.008 (0.003)	Loss 1.5128 (1.7084)	Prec@1 61.500 (54.382)	Prec@5 84.000 (83.405)
Epoch: [69][8060/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7607 (1.7084)	Prec@1 53.500 (54.383)	Prec@5 84.000 (83.405)
Epoch: [69][8070/9018]	Time 0.740 (0.623)	Data 0.001 (0.003)	Loss 1.7304 (1.7085)	Prec@1 55.000 (54.385)	Prec@5 81.500 (83.403)
Epoch: [69][8080/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7312 (1.7084)	Prec@1 56.500 (54.387)	Prec@5 82.000 (83.403)
Epoch: [69][8090/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7014 (1.7084)	Prec@1 57.000 (54.387)	Prec@5 82.000 (83.404)
Epoch: [69][8100/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7495 (1.7085)	Prec@1 50.500 (54.384)	Prec@5 84.000 (83.403)
Epoch: [69][8110/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7168 (1.7085)	Prec@1 56.500 (54.385)	Prec@5 83.000 (83.404)
Epoch: [69][8120/9018]	Time 0.762 (0.623)	Data 0.001 (0.003)	Loss 1.9812 (1.7086)	Prec@1 50.000 (54.383)	Prec@5 78.500 (83.402)
Epoch: [69][8130/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.8606 (1.7087)	Prec@1 52.000 (54.382)	Prec@5 80.000 (83.399)
Epoch: [69][8140/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7034 (1.7087)	Prec@1 56.000 (54.381)	Prec@5 81.000 (83.398)
Epoch: [69][8150/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7779 (1.7087)	Prec@1 55.500 (54.382)	Prec@5 81.000 (83.399)
Epoch: [69][8160/9018]	Time 0.588 (0.623)	Data 0.001 (0.003)	Loss 1.7979 (1.7087)	Prec@1 57.000 (54.382)	Prec@5 82.000 (83.398)
Epoch: [69][8170/9018]	Time 0.668 (0.623)	Data 0.001 (0.003)	Loss 1.7436 (1.7087)	Prec@1 50.500 (54.381)	Prec@5 86.000 (83.398)
Epoch: [69][8180/9018]	Time 0.662 (0.623)	Data 0.001 (0.003)	Loss 1.7420 (1.7087)	Prec@1 56.500 (54.384)	Prec@5 86.500 (83.399)
Epoch: [69][8190/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6044 (1.7087)	Prec@1 60.000 (54.385)	Prec@5 81.000 (83.397)
Epoch: [69][8200/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.8042 (1.7087)	Prec@1 52.000 (54.384)	Prec@5 80.500 (83.398)
Epoch: [69][8210/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6813 (1.7087)	Prec@1 55.500 (54.382)	Prec@5 83.000 (83.397)
Epoch: [69][8220/9018]	Time 0.652 (0.623)	Data 0.001 (0.003)	Loss 1.9899 (1.7088)	Prec@1 48.500 (54.380)	Prec@5 77.000 (83.395)
Epoch: [69][8230/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.4971 (1.7088)	Prec@1 60.000 (54.381)	Prec@5 88.000 (83.396)
Epoch: [69][8240/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6683 (1.7088)	Prec@1 57.500 (54.380)	Prec@5 85.000 (83.395)
Epoch: [69][8250/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8504 (1.7089)	Prec@1 49.500 (54.377)	Prec@5 81.500 (83.393)
Epoch: [69][8260/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.8598 (1.7091)	Prec@1 51.000 (54.374)	Prec@5 80.000 (83.392)
Epoch: [69][8270/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.5469 (1.7091)	Prec@1 56.000 (54.375)	Prec@5 86.500 (83.392)
Epoch: [69][8280/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.9530 (1.7091)	Prec@1 48.000 (54.374)	Prec@5 78.000 (83.393)
Epoch: [69][8290/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8786 (1.7090)	Prec@1 47.500 (54.375)	Prec@5 81.500 (83.393)
Epoch: [69][8300/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7428 (1.7090)	Prec@1 56.000 (54.375)	Prec@5 83.000 (83.394)
Epoch: [69][8310/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6749 (1.7092)	Prec@1 54.000 (54.373)	Prec@5 82.000 (83.391)
Epoch: [69][8320/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6460 (1.7091)	Prec@1 57.500 (54.374)	Prec@5 82.000 (83.391)
Epoch: [69][8330/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.5351 (1.7091)	Prec@1 52.000 (54.374)	Prec@5 88.000 (83.392)
Epoch: [69][8340/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.5884 (1.7091)	Prec@1 59.500 (54.374)	Prec@5 86.000 (83.392)
Epoch: [69][8350/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8885 (1.7091)	Prec@1 50.500 (54.375)	Prec@5 80.000 (83.393)
Epoch: [69][8360/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8414 (1.7091)	Prec@1 54.000 (54.375)	Prec@5 82.000 (83.391)
Epoch: [69][8370/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.4738 (1.7091)	Prec@1 61.500 (54.375)	Prec@5 89.500 (83.393)
Epoch: [69][8380/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8311 (1.7091)	Prec@1 48.500 (54.373)	Prec@5 80.000 (83.393)
Epoch: [69][8390/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8495 (1.7091)	Prec@1 47.500 (54.371)	Prec@5 80.000 (83.393)
Epoch: [69][8400/9018]	Time 0.777 (0.623)	Data 0.001 (0.003)	Loss 1.8146 (1.7091)	Prec@1 46.500 (54.372)	Prec@5 80.000 (83.392)
Epoch: [69][8410/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.5970 (1.7091)	Prec@1 56.500 (54.371)	Prec@5 84.500 (83.393)
Epoch: [69][8420/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.8292 (1.7092)	Prec@1 55.000 (54.370)	Prec@5 82.000 (83.392)
Epoch: [69][8430/9018]	Time 0.607 (0.623)	Data 0.005 (0.003)	Loss 1.7498 (1.7092)	Prec@1 51.000 (54.368)	Prec@5 81.500 (83.391)
Epoch: [69][8440/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7988 (1.7092)	Prec@1 52.000 (54.367)	Prec@5 82.000 (83.391)
Epoch: [69][8450/9018]	Time 0.754 (0.623)	Data 0.001 (0.003)	Loss 1.5459 (1.7092)	Prec@1 59.500 (54.366)	Prec@5 83.000 (83.390)
Epoch: [69][8460/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.7489 (1.7093)	Prec@1 53.000 (54.364)	Prec@5 84.500 (83.390)
Epoch: [69][8470/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8046 (1.7093)	Prec@1 51.000 (54.364)	Prec@5 83.000 (83.390)
Epoch: [69][8480/9018]	Time 0.627 (0.623)	Data 0.004 (0.003)	Loss 1.9323 (1.7093)	Prec@1 46.500 (54.364)	Prec@5 78.500 (83.390)
Epoch: [69][8490/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.8937 (1.7093)	Prec@1 48.000 (54.364)	Prec@5 79.500 (83.389)
Epoch: [69][8500/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8805 (1.7093)	Prec@1 47.500 (54.361)	Prec@5 84.000 (83.390)
Epoch: [69][8510/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.6664 (1.7093)	Prec@1 54.500 (54.363)	Prec@5 83.500 (83.391)
Epoch: [69][8520/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.5913 (1.7093)	Prec@1 57.000 (54.363)	Prec@5 83.500 (83.391)
Epoch: [69][8530/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.8544 (1.7094)	Prec@1 54.000 (54.362)	Prec@5 83.000 (83.391)
Epoch: [69][8540/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6815 (1.7093)	Prec@1 56.500 (54.364)	Prec@5 82.500 (83.392)
Epoch: [69][8550/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.5765 (1.7093)	Prec@1 59.000 (54.364)	Prec@5 87.000 (83.393)
Epoch: [69][8560/9018]	Time 0.619 (0.623)	Data 0.015 (0.003)	Loss 1.6171 (1.7092)	Prec@1 50.500 (54.366)	Prec@5 87.000 (83.394)
Epoch: [69][8570/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7686 (1.7092)	Prec@1 56.000 (54.367)	Prec@5 82.500 (83.395)
Epoch: [69][8580/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6299 (1.7092)	Prec@1 54.500 (54.366)	Prec@5 83.000 (83.394)
Epoch: [69][8590/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.9999 (1.7092)	Prec@1 52.500 (54.366)	Prec@5 80.000 (83.394)
Epoch: [69][8600/9018]	Time 0.646 (0.623)	Data 0.001 (0.003)	Loss 1.7691 (1.7092)	Prec@1 50.500 (54.364)	Prec@5 80.500 (83.394)
Epoch: [69][8610/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.6933 (1.7092)	Prec@1 50.500 (54.363)	Prec@5 84.500 (83.394)
Epoch: [69][8620/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7320 (1.7092)	Prec@1 52.000 (54.365)	Prec@5 83.500 (83.394)
Epoch: [69][8630/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7688 (1.7092)	Prec@1 53.000 (54.366)	Prec@5 82.500 (83.393)
Epoch: [69][8640/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7092 (1.7092)	Prec@1 53.500 (54.367)	Prec@5 85.500 (83.393)
Epoch: [69][8650/9018]	Time 0.629 (0.623)	Data 0.013 (0.003)	Loss 1.5524 (1.7092)	Prec@1 54.500 (54.366)	Prec@5 86.000 (83.395)
Epoch: [69][8660/9018]	Time 0.647 (0.623)	Data 0.001 (0.003)	Loss 1.7104 (1.7092)	Prec@1 55.000 (54.366)	Prec@5 85.000 (83.395)
Epoch: [69][8670/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.6043 (1.7092)	Prec@1 57.000 (54.367)	Prec@5 87.500 (83.396)
Epoch: [69][8680/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.8437 (1.7091)	Prec@1 53.500 (54.369)	Prec@5 81.500 (83.396)
Epoch: [69][8690/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6755 (1.7091)	Prec@1 55.000 (54.368)	Prec@5 85.500 (83.397)
Epoch: [69][8700/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.6539 (1.7092)	Prec@1 55.500 (54.367)	Prec@5 82.500 (83.397)
Epoch: [69][8710/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.7327 (1.7092)	Prec@1 51.000 (54.366)	Prec@5 84.500 (83.397)
Epoch: [69][8720/9018]	Time 0.657 (0.623)	Data 0.001 (0.003)	Loss 1.7241 (1.7092)	Prec@1 56.500 (54.369)	Prec@5 81.000 (83.397)
Epoch: [69][8730/9018]	Time 0.742 (0.623)	Data 0.001 (0.003)	Loss 1.7244 (1.7092)	Prec@1 53.500 (54.369)	Prec@5 83.500 (83.396)
Epoch: [69][8740/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7038 (1.7092)	Prec@1 56.500 (54.369)	Prec@5 81.000 (83.394)
Epoch: [69][8750/9018]	Time 0.639 (0.623)	Data 0.016 (0.003)	Loss 1.5809 (1.7092)	Prec@1 57.500 (54.370)	Prec@5 86.000 (83.396)
Epoch: [69][8760/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7871 (1.7092)	Prec@1 50.500 (54.371)	Prec@5 84.000 (83.395)
Epoch: [69][8770/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.8983 (1.7093)	Prec@1 50.000 (54.369)	Prec@5 81.500 (83.395)
Epoch: [69][8780/9018]	Time 0.768 (0.623)	Data 0.001 (0.003)	Loss 1.6601 (1.7092)	Prec@1 52.500 (54.373)	Prec@5 87.500 (83.397)
Epoch: [69][8790/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.8740 (1.7092)	Prec@1 53.500 (54.373)	Prec@5 83.000 (83.396)
Epoch: [69][8800/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.5301 (1.7092)	Prec@1 62.000 (54.373)	Prec@5 88.500 (83.397)
Epoch: [69][8810/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.8521 (1.7093)	Prec@1 56.000 (54.372)	Prec@5 76.000 (83.395)
Epoch: [69][8820/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.9148 (1.7094)	Prec@1 47.500 (54.369)	Prec@5 79.500 (83.393)
Epoch: [69][8830/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 2.0017 (1.7093)	Prec@1 50.500 (54.368)	Prec@5 74.000 (83.393)
Epoch: [69][8840/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.8321 (1.7094)	Prec@1 52.500 (54.367)	Prec@5 81.500 (83.393)
Epoch: [69][8850/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7675 (1.7094)	Prec@1 57.500 (54.368)	Prec@5 79.000 (83.392)
Epoch: [69][8860/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6535 (1.7094)	Prec@1 55.500 (54.367)	Prec@5 84.000 (83.392)
Epoch: [69][8870/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6668 (1.7094)	Prec@1 60.000 (54.367)	Prec@5 82.500 (83.393)
Epoch: [69][8880/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.8129 (1.7094)	Prec@1 48.500 (54.368)	Prec@5 82.500 (83.393)
Epoch: [69][8890/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6015 (1.7094)	Prec@1 55.500 (54.367)	Prec@5 86.000 (83.392)
Epoch: [69][8900/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8136 (1.7094)	Prec@1 51.500 (54.367)	Prec@5 83.000 (83.392)
Epoch: [69][8910/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7721 (1.7094)	Prec@1 54.000 (54.367)	Prec@5 81.500 (83.394)
Epoch: [69][8920/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.7449 (1.7094)	Prec@1 51.500 (54.366)	Prec@5 86.000 (83.395)
Epoch: [69][8930/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7422 (1.7093)	Prec@1 52.000 (54.368)	Prec@5 83.500 (83.397)
Epoch: [69][8940/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.6456 (1.7094)	Prec@1 54.500 (54.367)	Prec@5 82.500 (83.396)
Epoch: [69][8950/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7041 (1.7094)	Prec@1 58.000 (54.367)	Prec@5 82.000 (83.396)
Epoch: [69][8960/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7039 (1.7094)	Prec@1 54.000 (54.366)	Prec@5 82.500 (83.395)
Epoch: [69][8970/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.7561 (1.7094)	Prec@1 53.000 (54.366)	Prec@5 83.500 (83.394)
Epoch: [69][8980/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.4779 (1.7094)	Prec@1 61.000 (54.367)	Prec@5 86.500 (83.394)
Epoch: [69][8990/9018]	Time 0.651 (0.623)	Data 0.001 (0.003)	Loss 1.7499 (1.7094)	Prec@1 57.500 (54.367)	Prec@5 79.500 (83.394)
Epoch: [69][9000/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.9341 (1.7094)	Prec@1 51.000 (54.368)	Prec@5 82.500 (83.393)
Epoch: [69][9010/9018]	Time 0.604 (0.623)	Data 0.000 (0.003)	Loss 1.6900 (1.7095)	Prec@1 52.500 (54.365)	Prec@5 85.000 (83.393)
Test: [0/183]	Time 1.801 (1.801)	Loss 2.3202 (2.3202)	Prec@1 39.000 (39.000)	Prec@5 74.500 (74.500)
Test: [10/183]	Time 0.209 (0.371)	Loss 1.5358 (1.6025)	Prec@1 61.500 (57.409)	Prec@5 86.000 (86.136)
Test: [20/183]	Time 0.185 (0.286)	Loss 1.8530 (1.5678)	Prec@1 48.000 (57.595)	Prec@5 83.000 (86.476)
Test: [30/183]	Time 0.187 (0.263)	Loss 2.1758 (1.5855)	Prec@1 32.000 (56.710)	Prec@5 78.000 (86.323)
Test: [40/183]	Time 0.201 (0.247)	Loss 2.2683 (1.5963)	Prec@1 39.500 (57.049)	Prec@5 77.000 (85.732)
Test: [50/183]	Time 0.212 (0.240)	Loss 1.4130 (1.5664)	Prec@1 59.500 (57.725)	Prec@5 89.500 (86.039)
Test: [60/183]	Time 0.190 (0.235)	Loss 1.9848 (1.6304)	Prec@1 48.000 (55.738)	Prec@5 78.000 (85.295)
Test: [70/183]	Time 0.178 (0.229)	Loss 1.5781 (1.6154)	Prec@1 55.500 (55.958)	Prec@5 87.000 (85.683)
Test: [80/183]	Time 0.197 (0.227)	Loss 1.4245 (1.6017)	Prec@1 55.000 (56.062)	Prec@5 94.000 (85.920)
Test: [90/183]	Time 0.199 (0.225)	Loss 2.2814 (1.6021)	Prec@1 38.000 (56.066)	Prec@5 74.000 (85.934)
Test: [100/183]	Time 0.202 (0.223)	Loss 0.7143 (1.6014)	Prec@1 79.500 (56.168)	Prec@5 95.000 (85.960)
Test: [110/183]	Time 0.213 (0.222)	Loss 0.6886 (1.6052)	Prec@1 82.500 (56.081)	Prec@5 97.000 (85.883)
Test: [120/183]	Time 0.195 (0.220)	Loss 2.0239 (1.6109)	Prec@1 43.000 (55.789)	Prec@5 76.000 (85.851)
Test: [130/183]	Time 0.199 (0.219)	Loss 2.8530 (1.6186)	Prec@1 23.500 (55.550)	Prec@5 72.500 (85.920)
Test: [140/183]	Time 0.187 (0.218)	Loss 1.4750 (1.6094)	Prec@1 61.500 (55.773)	Prec@5 88.500 (86.064)
Test: [150/183]	Time 0.213 (0.217)	Loss 0.5648 (1.6088)	Prec@1 85.000 (55.887)	Prec@5 98.500 (86.050)
Test: [160/183]	Time 0.215 (0.217)	Loss 1.5654 (1.6063)	Prec@1 55.000 (56.084)	Prec@5 85.500 (86.071)
Test: [170/183]	Time 0.206 (0.216)	Loss 2.1330 (1.6226)	Prec@1 32.500 (55.602)	Prec@5 84.000 (85.863)
Test: [180/183]	Time 0.180 (0.216)	Loss 1.9604 (1.6294)	Prec@1 47.000 (55.522)	Prec@5 83.000 (85.693)
 * Prec@1 55.526 Prec@5 85.674
Epoch: [70][0/9018]	Time 3.125 (3.125)	Data 2.513 (2.513)	Loss 1.5889 (1.5889)	Prec@1 58.500 (58.500)	Prec@5 83.500 (83.500)
Epoch: [70][10/9018]	Time 0.596 (0.868)	Data 0.001 (0.231)	Loss 1.7766 (1.6853)	Prec@1 52.500 (54.636)	Prec@5 80.000 (83.136)
Epoch: [70][20/9018]	Time 0.592 (0.741)	Data 0.001 (0.122)	Loss 1.6255 (1.6633)	Prec@1 57.500 (55.357)	Prec@5 84.000 (83.762)
Epoch: [70][30/9018]	Time 0.620 (0.707)	Data 0.001 (0.083)	Loss 1.7687 (1.6664)	Prec@1 53.500 (54.984)	Prec@5 80.000 (83.984)
Epoch: [70][40/9018]	Time 0.599 (0.683)	Data 0.001 (0.063)	Loss 1.8516 (1.6762)	Prec@1 51.000 (55.244)	Prec@5 78.500 (83.841)
Epoch: [70][50/9018]	Time 0.621 (0.673)	Data 0.001 (0.051)	Loss 1.6165 (1.6834)	Prec@1 57.500 (55.255)	Prec@5 84.500 (83.696)
Epoch: [70][60/9018]	Time 0.648 (0.668)	Data 0.001 (0.043)	Loss 1.5312 (1.6750)	Prec@1 59.500 (55.434)	Prec@5 88.000 (84.049)
Epoch: [70][70/9018]	Time 0.609 (0.660)	Data 0.001 (0.037)	Loss 1.7974 (1.6738)	Prec@1 48.000 (55.359)	Prec@5 83.000 (83.993)
Epoch: [70][80/9018]	Time 0.612 (0.657)	Data 0.001 (0.033)	Loss 1.6309 (1.6758)	Prec@1 55.000 (55.185)	Prec@5 86.000 (84.012)
Epoch: [70][90/9018]	Time 0.590 (0.653)	Data 0.001 (0.030)	Loss 1.5822 (1.6769)	Prec@1 56.000 (55.104)	Prec@5 86.000 (84.000)
Epoch: [70][100/9018]	Time 0.610 (0.651)	Data 0.001 (0.027)	Loss 1.7410 (1.6844)	Prec@1 55.000 (54.975)	Prec@5 84.500 (83.911)
Epoch: [70][110/9018]	Time 0.620 (0.649)	Data 0.001 (0.025)	Loss 1.5677 (1.6871)	Prec@1 63.000 (54.923)	Prec@5 86.500 (83.824)
Epoch: [70][120/9018]	Time 0.619 (0.647)	Data 0.015 (0.023)	Loss 1.8105 (1.6891)	Prec@1 55.000 (54.888)	Prec@5 80.000 (83.793)
Epoch: [70][130/9018]	Time 0.607 (0.645)	Data 0.002 (0.022)	Loss 1.9536 (1.6928)	Prec@1 46.000 (54.824)	Prec@5 77.500 (83.706)
Epoch: [70][140/9018]	Time 0.808 (0.645)	Data 0.001 (0.021)	Loss 1.6423 (1.6934)	Prec@1 52.500 (54.883)	Prec@5 87.500 (83.723)
Epoch: [70][150/9018]	Time 0.615 (0.643)	Data 0.001 (0.020)	Loss 1.7369 (1.6903)	Prec@1 55.000 (54.980)	Prec@5 82.500 (83.765)
Epoch: [70][160/9018]	Time 0.619 (0.642)	Data 0.001 (0.019)	Loss 1.4822 (1.6902)	Prec@1 55.500 (54.957)	Prec@5 89.000 (83.773)
Epoch: [70][170/9018]	Time 0.650 (0.641)	Data 0.014 (0.018)	Loss 1.7568 (1.6919)	Prec@1 51.500 (54.950)	Prec@5 84.500 (83.716)
Epoch: [70][180/9018]	Time 0.593 (0.641)	Data 0.001 (0.017)	Loss 1.6576 (1.6933)	Prec@1 56.000 (54.873)	Prec@5 82.000 (83.677)
Epoch: [70][190/9018]	Time 0.753 (0.640)	Data 0.001 (0.016)	Loss 1.5971 (1.6918)	Prec@1 55.500 (54.893)	Prec@5 84.000 (83.707)
Epoch: [70][200/9018]	Time 0.631 (0.639)	Data 0.001 (0.015)	Loss 1.6109 (1.6905)	Prec@1 52.000 (54.933)	Prec@5 85.000 (83.769)
Epoch: [70][210/9018]	Time 0.601 (0.638)	Data 0.001 (0.015)	Loss 1.7845 (1.6927)	Prec@1 52.500 (54.836)	Prec@5 80.000 (83.763)
Epoch: [70][220/9018]	Time 0.624 (0.637)	Data 0.001 (0.014)	Loss 1.7469 (1.6901)	Prec@1 56.000 (54.923)	Prec@5 81.500 (83.803)
Epoch: [70][230/9018]	Time 0.598 (0.637)	Data 0.008 (0.014)	Loss 1.9211 (1.6916)	Prec@1 51.000 (54.848)	Prec@5 79.000 (83.786)
Epoch: [70][240/9018]	Time 0.610 (0.637)	Data 0.001 (0.013)	Loss 1.6994 (1.6942)	Prec@1 55.000 (54.761)	Prec@5 83.000 (83.737)
Epoch: [70][250/9018]	Time 0.622 (0.636)	Data 0.001 (0.013)	Loss 1.7492 (1.6922)	Prec@1 54.000 (54.777)	Prec@5 81.000 (83.765)
Epoch: [70][260/9018]	Time 0.593 (0.636)	Data 0.001 (0.012)	Loss 1.7536 (1.6909)	Prec@1 53.500 (54.805)	Prec@5 81.000 (83.776)
Epoch: [70][270/9018]	Time 0.614 (0.635)	Data 0.001 (0.012)	Loss 1.6536 (1.6919)	Prec@1 56.500 (54.812)	Prec@5 84.500 (83.729)
Epoch: [70][280/9018]	Time 0.597 (0.635)	Data 0.001 (0.012)	Loss 1.6135 (1.6925)	Prec@1 55.000 (54.790)	Prec@5 88.500 (83.728)
Epoch: [70][290/9018]	Time 0.658 (0.635)	Data 0.001 (0.012)	Loss 1.6742 (1.6932)	Prec@1 56.000 (54.773)	Prec@5 86.000 (83.735)
Epoch: [70][300/9018]	Time 0.609 (0.634)	Data 0.001 (0.011)	Loss 2.0249 (1.6923)	Prec@1 46.000 (54.784)	Prec@5 81.000 (83.749)
Epoch: [70][310/9018]	Time 0.626 (0.635)	Data 0.001 (0.011)	Loss 1.4565 (1.6920)	Prec@1 61.500 (54.717)	Prec@5 87.500 (83.744)
Epoch: [70][320/9018]	Time 0.660 (0.634)	Data 0.001 (0.011)	Loss 1.6631 (1.6891)	Prec@1 58.500 (54.808)	Prec@5 83.000 (83.780)
Epoch: [70][330/9018]	Time 0.593 (0.634)	Data 0.001 (0.010)	Loss 1.6240 (1.6892)	Prec@1 57.000 (54.828)	Prec@5 83.500 (83.767)
Epoch: [70][340/9018]	Time 0.640 (0.634)	Data 0.001 (0.010)	Loss 1.7275 (1.6889)	Prec@1 53.500 (54.834)	Prec@5 83.500 (83.757)
Epoch: [70][350/9018]	Time 0.610 (0.633)	Data 0.001 (0.010)	Loss 1.7676 (1.6893)	Prec@1 55.000 (54.825)	Prec@5 79.000 (83.736)
Epoch: [70][360/9018]	Time 0.626 (0.633)	Data 0.001 (0.010)	Loss 1.7459 (1.6913)	Prec@1 51.500 (54.794)	Prec@5 82.500 (83.690)
Epoch: [70][370/9018]	Time 0.646 (0.633)	Data 0.001 (0.010)	Loss 1.5483 (1.6908)	Prec@1 59.500 (54.799)	Prec@5 86.500 (83.690)
Epoch: [70][380/9018]	Time 0.604 (0.633)	Data 0.001 (0.009)	Loss 1.7485 (1.6906)	Prec@1 50.500 (54.802)	Prec@5 83.500 (83.673)
Epoch: [70][390/9018]	Time 0.631 (0.633)	Data 0.014 (0.009)	Loss 1.6063 (1.6892)	Prec@1 57.500 (54.809)	Prec@5 85.000 (83.688)
Epoch: [70][400/9018]	Time 0.621 (0.633)	Data 0.001 (0.009)	Loss 1.7947 (1.6897)	Prec@1 54.000 (54.829)	Prec@5 79.000 (83.666)
Epoch: [70][410/9018]	Time 0.598 (0.632)	Data 0.001 (0.009)	Loss 1.7040 (1.6896)	Prec@1 55.000 (54.830)	Prec@5 83.500 (83.663)
Epoch: [70][420/9018]	Time 0.611 (0.632)	Data 0.001 (0.009)	Loss 1.5381 (1.6901)	Prec@1 59.000 (54.816)	Prec@5 86.500 (83.646)
Epoch: [70][430/9018]	Time 0.614 (0.632)	Data 0.001 (0.008)	Loss 1.8547 (1.6896)	Prec@1 53.500 (54.843)	Prec@5 83.000 (83.646)
Epoch: [70][440/9018]	Time 0.608 (0.632)	Data 0.001 (0.008)	Loss 1.7193 (1.6905)	Prec@1 51.500 (54.798)	Prec@5 86.500 (83.643)
Epoch: [70][450/9018]	Time 0.610 (0.631)	Data 0.001 (0.008)	Loss 1.7652 (1.6909)	Prec@1 51.500 (54.779)	Prec@5 84.500 (83.643)
Epoch: [70][460/9018]	Time 0.594 (0.631)	Data 0.001 (0.008)	Loss 1.6445 (1.6913)	Prec@1 52.000 (54.753)	Prec@5 85.500 (83.627)
Epoch: [70][470/9018]	Time 0.755 (0.631)	Data 0.001 (0.008)	Loss 1.9665 (1.6921)	Prec@1 50.500 (54.744)	Prec@5 80.000 (83.623)
Epoch: [70][480/9018]	Time 0.603 (0.631)	Data 0.001 (0.008)	Loss 1.5537 (1.6922)	Prec@1 59.500 (54.717)	Prec@5 86.000 (83.631)
Epoch: [70][490/9018]	Time 0.625 (0.631)	Data 0.001 (0.008)	Loss 1.6508 (1.6920)	Prec@1 56.500 (54.724)	Prec@5 82.000 (83.620)
Epoch: [70][500/9018]	Time 0.626 (0.631)	Data 0.001 (0.008)	Loss 1.6091 (1.6923)	Prec@1 58.500 (54.734)	Prec@5 84.000 (83.619)
Epoch: [70][510/9018]	Time 0.618 (0.631)	Data 0.015 (0.008)	Loss 1.4986 (1.6918)	Prec@1 60.500 (54.749)	Prec@5 86.500 (83.620)
Epoch: [70][520/9018]	Time 0.703 (0.631)	Data 0.001 (0.008)	Loss 1.7575 (1.6917)	Prec@1 57.000 (54.741)	Prec@5 80.000 (83.635)
Epoch: [70][530/9018]	Time 0.598 (0.631)	Data 0.001 (0.007)	Loss 1.5671 (1.6921)	Prec@1 59.000 (54.724)	Prec@5 82.000 (83.620)
Epoch: [70][540/9018]	Time 0.597 (0.631)	Data 0.001 (0.007)	Loss 1.8288 (1.6927)	Prec@1 51.500 (54.688)	Prec@5 80.500 (83.594)
Epoch: [70][550/9018]	Time 0.605 (0.630)	Data 0.001 (0.007)	Loss 1.7004 (1.6927)	Prec@1 54.500 (54.693)	Prec@5 85.000 (83.593)
Epoch: [70][560/9018]	Time 0.618 (0.630)	Data 0.001 (0.007)	Loss 1.8713 (1.6940)	Prec@1 50.500 (54.663)	Prec@5 79.500 (83.553)
Epoch: [70][570/9018]	Time 0.608 (0.630)	Data 0.001 (0.007)	Loss 1.7504 (1.6949)	Prec@1 50.000 (54.656)	Prec@5 84.500 (83.545)
Epoch: [70][580/9018]	Time 0.624 (0.630)	Data 0.001 (0.007)	Loss 1.7715 (1.6954)	Prec@1 58.000 (54.639)	Prec@5 81.500 (83.540)
Epoch: [70][590/9018]	Time 0.644 (0.630)	Data 0.001 (0.007)	Loss 1.6231 (1.6958)	Prec@1 55.000 (54.609)	Prec@5 86.000 (83.540)
Epoch: [70][600/9018]	Time 0.652 (0.630)	Data 0.001 (0.007)	Loss 1.9748 (1.6949)	Prec@1 50.500 (54.622)	Prec@5 73.500 (83.554)
Epoch: [70][610/9018]	Time 0.614 (0.630)	Data 0.002 (0.007)	Loss 1.7392 (1.6940)	Prec@1 52.500 (54.667)	Prec@5 85.000 (83.556)
Epoch: [70][620/9018]	Time 0.630 (0.630)	Data 0.001 (0.007)	Loss 1.5856 (1.6940)	Prec@1 55.000 (54.663)	Prec@5 85.500 (83.563)
Epoch: [70][630/9018]	Time 0.600 (0.630)	Data 0.001 (0.007)	Loss 1.6227 (1.6936)	Prec@1 53.500 (54.685)	Prec@5 85.500 (83.572)
Epoch: [70][640/9018]	Time 0.648 (0.630)	Data 0.001 (0.007)	Loss 1.8467 (1.6934)	Prec@1 50.500 (54.700)	Prec@5 79.500 (83.572)
Epoch: [70][650/9018]	Time 0.604 (0.630)	Data 0.001 (0.007)	Loss 1.7682 (1.6943)	Prec@1 57.000 (54.688)	Prec@5 82.000 (83.559)
Epoch: [70][660/9018]	Time 0.606 (0.630)	Data 0.001 (0.007)	Loss 1.5986 (1.6951)	Prec@1 56.000 (54.664)	Prec@5 83.500 (83.550)
Epoch: [70][670/9018]	Time 0.613 (0.630)	Data 0.001 (0.007)	Loss 1.4768 (1.6947)	Prec@1 59.500 (54.680)	Prec@5 88.000 (83.552)
Epoch: [70][680/9018]	Time 0.635 (0.629)	Data 0.001 (0.006)	Loss 1.7417 (1.6944)	Prec@1 55.500 (54.678)	Prec@5 82.500 (83.560)
Epoch: [70][690/9018]	Time 0.628 (0.630)	Data 0.001 (0.006)	Loss 1.6975 (1.6944)	Prec@1 59.000 (54.675)	Prec@5 82.000 (83.556)
Epoch: [70][700/9018]	Time 0.614 (0.629)	Data 0.001 (0.006)	Loss 1.8496 (1.6953)	Prec@1 49.500 (54.664)	Prec@5 80.500 (83.540)
Epoch: [70][710/9018]	Time 0.591 (0.629)	Data 0.001 (0.006)	Loss 1.7608 (1.6955)	Prec@1 55.000 (54.664)	Prec@5 83.500 (83.546)
Epoch: [70][720/9018]	Time 0.623 (0.629)	Data 0.001 (0.006)	Loss 1.8555 (1.6960)	Prec@1 48.000 (54.640)	Prec@5 83.000 (83.553)
Epoch: [70][730/9018]	Time 0.604 (0.629)	Data 0.001 (0.006)	Loss 1.7500 (1.6961)	Prec@1 55.000 (54.618)	Prec@5 81.000 (83.557)
Epoch: [70][740/9018]	Time 0.632 (0.629)	Data 0.001 (0.006)	Loss 1.7279 (1.6955)	Prec@1 55.000 (54.639)	Prec@5 82.000 (83.571)
Epoch: [70][750/9018]	Time 0.605 (0.629)	Data 0.001 (0.006)	Loss 1.6313 (1.6952)	Prec@1 53.000 (54.657)	Prec@5 85.500 (83.578)
Epoch: [70][760/9018]	Time 0.635 (0.629)	Data 0.001 (0.006)	Loss 1.4750 (1.6957)	Prec@1 57.500 (54.645)	Prec@5 89.000 (83.583)
Epoch: [70][770/9018]	Time 0.626 (0.629)	Data 0.001 (0.006)	Loss 1.7825 (1.6954)	Prec@1 52.500 (54.639)	Prec@5 84.500 (83.593)
Epoch: [70][780/9018]	Time 0.610 (0.629)	Data 0.001 (0.006)	Loss 1.5350 (1.6946)	Prec@1 53.000 (54.643)	Prec@5 87.500 (83.618)
Epoch: [70][790/9018]	Time 0.624 (0.629)	Data 0.001 (0.006)	Loss 1.6038 (1.6944)	Prec@1 55.500 (54.650)	Prec@5 84.000 (83.622)
Epoch: [70][800/9018]	Time 0.779 (0.629)	Data 0.001 (0.006)	Loss 1.8122 (1.6943)	Prec@1 53.500 (54.644)	Prec@5 79.000 (83.621)
Epoch: [70][810/9018]	Time 0.606 (0.629)	Data 0.001 (0.006)	Loss 1.5894 (1.6947)	Prec@1 55.500 (54.628)	Prec@5 84.500 (83.616)
Epoch: [70][820/9018]	Time 0.617 (0.629)	Data 0.001 (0.006)	Loss 1.7506 (1.6946)	Prec@1 54.000 (54.639)	Prec@5 85.500 (83.624)
Epoch: [70][830/9018]	Time 0.614 (0.628)	Data 0.022 (0.006)	Loss 1.6423 (1.6944)	Prec@1 54.000 (54.650)	Prec@5 84.500 (83.630)
Epoch: [70][840/9018]	Time 0.610 (0.628)	Data 0.001 (0.006)	Loss 1.9663 (1.6942)	Prec@1 47.500 (54.647)	Prec@5 77.000 (83.622)
Epoch: [70][850/9018]	Time 0.733 (0.628)	Data 0.014 (0.006)	Loss 1.6455 (1.6944)	Prec@1 56.000 (54.630)	Prec@5 86.000 (83.618)
Epoch: [70][860/9018]	Time 0.629 (0.628)	Data 0.001 (0.006)	Loss 1.7950 (1.6949)	Prec@1 50.500 (54.615)	Prec@5 82.500 (83.612)
Epoch: [70][870/9018]	Time 0.602 (0.628)	Data 0.001 (0.006)	Loss 1.7851 (1.6950)	Prec@1 53.500 (54.617)	Prec@5 80.500 (83.600)
Epoch: [70][880/9018]	Time 0.618 (0.628)	Data 0.004 (0.006)	Loss 1.8665 (1.6938)	Prec@1 51.000 (54.640)	Prec@5 81.500 (83.616)
Epoch: [70][890/9018]	Time 0.605 (0.628)	Data 0.001 (0.006)	Loss 1.7342 (1.6941)	Prec@1 53.000 (54.631)	Prec@5 83.500 (83.612)
Epoch: [70][900/9018]	Time 0.614 (0.628)	Data 0.001 (0.006)	Loss 1.7340 (1.6939)	Prec@1 52.500 (54.633)	Prec@5 83.500 (83.615)
Epoch: [70][910/9018]	Time 0.616 (0.628)	Data 0.001 (0.006)	Loss 1.7160 (1.6943)	Prec@1 58.500 (54.644)	Prec@5 81.500 (83.599)
Epoch: [70][920/9018]	Time 0.607 (0.628)	Data 0.001 (0.006)	Loss 1.8544 (1.6950)	Prec@1 52.500 (54.635)	Prec@5 77.000 (83.563)
Epoch: [70][930/9018]	Time 0.620 (0.628)	Data 0.001 (0.006)	Loss 1.7123 (1.6951)	Prec@1 55.500 (54.633)	Prec@5 83.500 (83.564)
Epoch: [70][940/9018]	Time 0.601 (0.628)	Data 0.016 (0.005)	Loss 1.6542 (1.6959)	Prec@1 55.500 (54.620)	Prec@5 86.000 (83.545)
Epoch: [70][950/9018]	Time 0.614 (0.628)	Data 0.001 (0.005)	Loss 1.8529 (1.6955)	Prec@1 50.000 (54.646)	Prec@5 80.000 (83.552)
Epoch: [70][960/9018]	Time 0.602 (0.628)	Data 0.001 (0.005)	Loss 1.7874 (1.6956)	Prec@1 51.500 (54.645)	Prec@5 81.500 (83.554)
Epoch: [70][970/9018]	Time 0.604 (0.628)	Data 0.001 (0.005)	Loss 1.7065 (1.6950)	Prec@1 55.000 (54.649)	Prec@5 80.500 (83.574)
Epoch: [70][980/9018]	Time 0.606 (0.627)	Data 0.001 (0.005)	Loss 1.7833 (1.6958)	Prec@1 56.500 (54.645)	Prec@5 79.500 (83.559)
Epoch: [70][990/9018]	Time 0.612 (0.627)	Data 0.001 (0.005)	Loss 1.7864 (1.6955)	Prec@1 53.500 (54.636)	Prec@5 80.500 (83.562)
Epoch: [70][1000/9018]	Time 0.636 (0.628)	Data 0.007 (0.005)	Loss 1.6734 (1.6958)	Prec@1 50.000 (54.620)	Prec@5 84.000 (83.566)
Epoch: [70][1010/9018]	Time 0.635 (0.627)	Data 0.001 (0.005)	Loss 1.8089 (1.6963)	Prec@1 54.500 (54.603)	Prec@5 82.500 (83.564)
Epoch: [70][1020/9018]	Time 0.604 (0.627)	Data 0.001 (0.005)	Loss 1.7004 (1.6968)	Prec@1 55.000 (54.586)	Prec@5 83.000 (83.549)
Epoch: [70][1030/9018]	Time 0.624 (0.627)	Data 0.001 (0.005)	Loss 1.6562 (1.6969)	Prec@1 56.500 (54.597)	Prec@5 83.500 (83.548)
Epoch: [70][1040/9018]	Time 0.610 (0.627)	Data 0.001 (0.005)	Loss 1.8656 (1.6972)	Prec@1 49.000 (54.593)	Prec@5 81.500 (83.541)
Epoch: [70][1050/9018]	Time 0.589 (0.627)	Data 0.001 (0.005)	Loss 1.4778 (1.6968)	Prec@1 63.500 (54.608)	Prec@5 85.000 (83.546)
Epoch: [70][1060/9018]	Time 0.624 (0.627)	Data 0.001 (0.005)	Loss 1.7083 (1.6969)	Prec@1 53.500 (54.603)	Prec@5 83.500 (83.542)
Epoch: [70][1070/9018]	Time 0.592 (0.627)	Data 0.001 (0.005)	Loss 1.8224 (1.6968)	Prec@1 51.000 (54.599)	Prec@5 81.000 (83.546)
Epoch: [70][1080/9018]	Time 0.623 (0.627)	Data 0.001 (0.005)	Loss 1.7850 (1.6971)	Prec@1 57.000 (54.599)	Prec@5 80.500 (83.531)
Epoch: [70][1090/9018]	Time 0.608 (0.627)	Data 0.017 (0.005)	Loss 1.5674 (1.6974)	Prec@1 58.000 (54.587)	Prec@5 86.000 (83.529)
Epoch: [70][1100/9018]	Time 0.590 (0.627)	Data 0.001 (0.005)	Loss 1.8142 (1.6971)	Prec@1 52.500 (54.602)	Prec@5 85.000 (83.540)
Epoch: [70][1110/9018]	Time 0.618 (0.627)	Data 0.005 (0.005)	Loss 1.7463 (1.6966)	Prec@1 53.500 (54.614)	Prec@5 81.500 (83.545)
Epoch: [70][1120/9018]	Time 0.617 (0.627)	Data 0.001 (0.005)	Loss 1.6462 (1.6967)	Prec@1 55.000 (54.621)	Prec@5 86.000 (83.540)
Epoch: [70][1130/9018]	Time 0.765 (0.627)	Data 0.001 (0.005)	Loss 1.7271 (1.6962)	Prec@1 53.500 (54.630)	Prec@5 83.000 (83.538)
Epoch: [70][1140/9018]	Time 0.603 (0.627)	Data 0.001 (0.005)	Loss 1.4976 (1.6963)	Prec@1 58.000 (54.622)	Prec@5 85.500 (83.538)
Epoch: [70][1150/9018]	Time 0.616 (0.627)	Data 0.001 (0.005)	Loss 1.7521 (1.6964)	Prec@1 54.000 (54.626)	Prec@5 81.500 (83.532)
Epoch: [70][1160/9018]	Time 0.625 (0.627)	Data 0.001 (0.005)	Loss 1.7270 (1.6963)	Prec@1 52.000 (54.630)	Prec@5 84.500 (83.541)
Epoch: [70][1170/9018]	Time 0.611 (0.627)	Data 0.001 (0.005)	Loss 1.7617 (1.6963)	Prec@1 55.000 (54.624)	Prec@5 83.500 (83.537)
Epoch: [70][1180/9018]	Time 0.725 (0.627)	Data 0.001 (0.005)	Loss 1.6309 (1.6964)	Prec@1 59.500 (54.623)	Prec@5 85.000 (83.533)
Epoch: [70][1190/9018]	Time 0.601 (0.626)	Data 0.001 (0.005)	Loss 1.6312 (1.6962)	Prec@1 57.000 (54.635)	Prec@5 83.000 (83.536)
Epoch: [70][1200/9018]	Time 0.607 (0.626)	Data 0.001 (0.005)	Loss 1.5813 (1.6961)	Prec@1 56.000 (54.642)	Prec@5 85.500 (83.539)
Epoch: [70][1210/9018]	Time 0.621 (0.626)	Data 0.001 (0.005)	Loss 1.7157 (1.6960)	Prec@1 52.000 (54.645)	Prec@5 85.500 (83.539)
Epoch: [70][1220/9018]	Time 0.624 (0.626)	Data 0.001 (0.005)	Loss 1.5663 (1.6954)	Prec@1 60.000 (54.656)	Prec@5 83.000 (83.545)
Epoch: [70][1230/9018]	Time 0.603 (0.626)	Data 0.001 (0.005)	Loss 1.9763 (1.6955)	Prec@1 49.000 (54.652)	Prec@5 79.500 (83.544)
Epoch: [70][1240/9018]	Time 0.610 (0.626)	Data 0.001 (0.005)	Loss 1.5755 (1.6959)	Prec@1 60.000 (54.651)	Prec@5 84.000 (83.537)
Epoch: [70][1250/9018]	Time 0.611 (0.626)	Data 0.001 (0.005)	Loss 1.6577 (1.6956)	Prec@1 58.500 (54.651)	Prec@5 84.000 (83.543)
Epoch: [70][1260/9018]	Time 0.623 (0.626)	Data 0.001 (0.005)	Loss 1.7174 (1.6955)	Prec@1 50.500 (54.647)	Prec@5 85.500 (83.548)
Epoch: [70][1270/9018]	Time 0.623 (0.626)	Data 0.015 (0.005)	Loss 1.7559 (1.6960)	Prec@1 50.000 (54.641)	Prec@5 85.500 (83.552)
Epoch: [70][1280/9018]	Time 0.611 (0.626)	Data 0.001 (0.005)	Loss 1.5238 (1.6958)	Prec@1 63.000 (54.649)	Prec@5 84.500 (83.551)
Epoch: [70][1290/9018]	Time 0.612 (0.626)	Data 0.001 (0.005)	Loss 1.8579 (1.6957)	Prec@1 48.000 (54.636)	Prec@5 79.500 (83.554)
Epoch: [70][1300/9018]	Time 0.601 (0.626)	Data 0.001 (0.005)	Loss 1.7680 (1.6962)	Prec@1 56.500 (54.630)	Prec@5 81.500 (83.548)
Epoch: [70][1310/9018]	Time 0.653 (0.626)	Data 0.001 (0.005)	Loss 1.6760 (1.6959)	Prec@1 56.000 (54.641)	Prec@5 83.500 (83.548)
Epoch: [70][1320/9018]	Time 0.602 (0.626)	Data 0.001 (0.005)	Loss 1.7262 (1.6960)	Prec@1 51.500 (54.634)	Prec@5 83.500 (83.548)
Epoch: [70][1330/9018]	Time 0.638 (0.626)	Data 0.001 (0.005)	Loss 1.7238 (1.6962)	Prec@1 53.000 (54.621)	Prec@5 83.000 (83.541)
Epoch: [70][1340/9018]	Time 0.627 (0.626)	Data 0.001 (0.005)	Loss 1.5916 (1.6961)	Prec@1 59.500 (54.628)	Prec@5 84.500 (83.546)
Epoch: [70][1350/9018]	Time 0.608 (0.626)	Data 0.001 (0.005)	Loss 1.7369 (1.6964)	Prec@1 52.000 (54.623)	Prec@5 87.000 (83.547)
Epoch: [70][1360/9018]	Time 0.593 (0.626)	Data 0.001 (0.005)	Loss 1.4367 (1.6960)	Prec@1 62.000 (54.639)	Prec@5 88.000 (83.553)
Epoch: [70][1370/9018]	Time 0.604 (0.626)	Data 0.001 (0.005)	Loss 1.7778 (1.6960)	Prec@1 55.000 (54.653)	Prec@5 81.500 (83.558)
Epoch: [70][1380/9018]	Time 0.606 (0.626)	Data 0.001 (0.005)	Loss 1.7307 (1.6963)	Prec@1 51.500 (54.642)	Prec@5 81.500 (83.547)
Epoch: [70][1390/9018]	Time 0.623 (0.626)	Data 0.001 (0.005)	Loss 1.4915 (1.6963)	Prec@1 59.000 (54.638)	Prec@5 84.000 (83.545)
Epoch: [70][1400/9018]	Time 0.610 (0.626)	Data 0.001 (0.005)	Loss 1.7457 (1.6966)	Prec@1 55.500 (54.630)	Prec@5 83.500 (83.546)
Epoch: [70][1410/9018]	Time 0.622 (0.625)	Data 0.001 (0.005)	Loss 1.6965 (1.6964)	Prec@1 53.000 (54.637)	Prec@5 85.000 (83.551)
Epoch: [70][1420/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.7146 (1.6964)	Prec@1 52.500 (54.643)	Prec@5 83.500 (83.550)
Epoch: [70][1430/9018]	Time 0.637 (0.625)	Data 0.001 (0.004)	Loss 1.7874 (1.6968)	Prec@1 50.000 (54.636)	Prec@5 84.000 (83.544)
Epoch: [70][1440/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.6462 (1.6969)	Prec@1 53.000 (54.634)	Prec@5 84.500 (83.543)
Epoch: [70][1450/9018]	Time 0.622 (0.625)	Data 0.015 (0.004)	Loss 1.6686 (1.6964)	Prec@1 58.000 (54.635)	Prec@5 82.500 (83.553)
Epoch: [70][1460/9018]	Time 0.751 (0.625)	Data 0.001 (0.004)	Loss 1.7250 (1.6963)	Prec@1 56.000 (54.652)	Prec@5 82.000 (83.555)
Epoch: [70][1470/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.7423 (1.6963)	Prec@1 49.500 (54.655)	Prec@5 85.000 (83.560)
Epoch: [70][1480/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.7298 (1.6964)	Prec@1 57.000 (54.650)	Prec@5 82.000 (83.556)
Epoch: [70][1490/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6330 (1.6965)	Prec@1 61.500 (54.651)	Prec@5 88.000 (83.560)
Epoch: [70][1500/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.7802 (1.6966)	Prec@1 53.500 (54.649)	Prec@5 82.500 (83.558)
Epoch: [70][1510/9018]	Time 0.751 (0.625)	Data 0.001 (0.004)	Loss 1.7681 (1.6966)	Prec@1 55.000 (54.655)	Prec@5 83.500 (83.561)
Epoch: [70][1520/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.7263 (1.6966)	Prec@1 59.000 (54.652)	Prec@5 81.500 (83.565)
Epoch: [70][1530/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.7016 (1.6969)	Prec@1 56.500 (54.656)	Prec@5 86.500 (83.563)
Epoch: [70][1540/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.8156 (1.6965)	Prec@1 53.000 (54.658)	Prec@5 80.500 (83.567)
Epoch: [70][1550/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.6871 (1.6964)	Prec@1 56.500 (54.656)	Prec@5 82.000 (83.570)
Epoch: [70][1560/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.6336 (1.6965)	Prec@1 57.000 (54.651)	Prec@5 86.500 (83.568)
Epoch: [70][1570/9018]	Time 0.638 (0.625)	Data 0.001 (0.004)	Loss 1.6979 (1.6970)	Prec@1 52.500 (54.636)	Prec@5 85.500 (83.562)
Epoch: [70][1580/9018]	Time 0.607 (0.625)	Data 0.015 (0.004)	Loss 1.6851 (1.6970)	Prec@1 57.000 (54.639)	Prec@5 86.000 (83.558)
Epoch: [70][1590/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.8851 (1.6970)	Prec@1 47.000 (54.637)	Prec@5 82.500 (83.556)
Epoch: [70][1600/9018]	Time 0.636 (0.625)	Data 0.016 (0.004)	Loss 1.5403 (1.6968)	Prec@1 55.500 (54.645)	Prec@5 84.500 (83.557)
Epoch: [70][1610/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.5438 (1.6968)	Prec@1 55.500 (54.649)	Prec@5 86.000 (83.563)
Epoch: [70][1620/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.8300 (1.6964)	Prec@1 52.500 (54.659)	Prec@5 80.000 (83.564)
Epoch: [70][1630/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.6934 (1.6965)	Prec@1 57.000 (54.659)	Prec@5 83.000 (83.559)
Epoch: [70][1640/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6720 (1.6962)	Prec@1 55.000 (54.660)	Prec@5 82.000 (83.561)
Epoch: [70][1650/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.6874 (1.6963)	Prec@1 56.500 (54.668)	Prec@5 83.500 (83.558)
Epoch: [70][1660/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.7067 (1.6963)	Prec@1 53.500 (54.670)	Prec@5 84.500 (83.561)
Epoch: [70][1670/9018]	Time 0.624 (0.625)	Data 0.015 (0.004)	Loss 1.8405 (1.6967)	Prec@1 49.500 (54.658)	Prec@5 81.000 (83.557)
Epoch: [70][1680/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.5926 (1.6964)	Prec@1 58.500 (54.667)	Prec@5 82.000 (83.558)
Epoch: [70][1690/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6460 (1.6964)	Prec@1 53.000 (54.672)	Prec@5 83.500 (83.556)
Epoch: [70][1700/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7199 (1.6963)	Prec@1 58.000 (54.673)	Prec@5 79.000 (83.556)
Epoch: [70][1710/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.6174 (1.6963)	Prec@1 58.000 (54.672)	Prec@5 82.000 (83.558)
Epoch: [70][1720/9018]	Time 0.621 (0.625)	Data 0.015 (0.004)	Loss 1.6282 (1.6962)	Prec@1 56.500 (54.675)	Prec@5 84.000 (83.558)
Epoch: [70][1730/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.9745 (1.6967)	Prec@1 46.000 (54.660)	Prec@5 82.000 (83.550)
Epoch: [70][1740/9018]	Time 0.746 (0.625)	Data 0.015 (0.004)	Loss 1.7465 (1.6967)	Prec@1 52.500 (54.659)	Prec@5 82.500 (83.547)
Epoch: [70][1750/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.5955 (1.6966)	Prec@1 58.500 (54.667)	Prec@5 84.500 (83.555)
Epoch: [70][1760/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.8261 (1.6966)	Prec@1 52.500 (54.668)	Prec@5 80.000 (83.553)
Epoch: [70][1770/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.7477 (1.6969)	Prec@1 53.000 (54.661)	Prec@5 82.500 (83.550)
Epoch: [70][1780/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.8209 (1.6967)	Prec@1 51.500 (54.671)	Prec@5 83.000 (83.551)
Epoch: [70][1790/9018]	Time 0.768 (0.625)	Data 0.001 (0.004)	Loss 1.9874 (1.6970)	Prec@1 49.500 (54.666)	Prec@5 77.000 (83.549)
Epoch: [70][1800/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.7176 (1.6972)	Prec@1 57.000 (54.666)	Prec@5 82.000 (83.546)
Epoch: [70][1810/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.7579 (1.6969)	Prec@1 51.000 (54.673)	Prec@5 85.500 (83.553)
Epoch: [70][1820/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.6962 (1.6969)	Prec@1 51.000 (54.672)	Prec@5 84.000 (83.556)
Epoch: [70][1830/9018]	Time 0.624 (0.625)	Data 0.013 (0.004)	Loss 1.7945 (1.6968)	Prec@1 51.500 (54.675)	Prec@5 83.500 (83.561)
Epoch: [70][1840/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.6357 (1.6969)	Prec@1 62.500 (54.669)	Prec@5 82.500 (83.558)
Epoch: [70][1850/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.6827 (1.6971)	Prec@1 52.000 (54.660)	Prec@5 87.000 (83.557)
Epoch: [70][1860/9018]	Time 0.623 (0.625)	Data 0.015 (0.004)	Loss 1.6582 (1.6971)	Prec@1 59.000 (54.659)	Prec@5 83.000 (83.556)
Epoch: [70][1870/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.6984 (1.6969)	Prec@1 55.000 (54.662)	Prec@5 81.500 (83.557)
Epoch: [70][1880/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.4638 (1.6968)	Prec@1 61.500 (54.662)	Prec@5 86.000 (83.555)
Epoch: [70][1890/9018]	Time 0.650 (0.625)	Data 0.014 (0.004)	Loss 1.5968 (1.6969)	Prec@1 56.500 (54.660)	Prec@5 84.500 (83.555)
Epoch: [70][1900/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.7003 (1.6971)	Prec@1 57.000 (54.659)	Prec@5 85.500 (83.558)
Epoch: [70][1910/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.4757 (1.6970)	Prec@1 60.000 (54.664)	Prec@5 87.500 (83.561)
Epoch: [70][1920/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.6848 (1.6969)	Prec@1 53.000 (54.664)	Prec@5 87.000 (83.565)
Epoch: [70][1930/9018]	Time 0.590 (0.625)	Data 0.001 (0.004)	Loss 1.8256 (1.6969)	Prec@1 48.000 (54.660)	Prec@5 80.500 (83.567)
Epoch: [70][1940/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.5217 (1.6970)	Prec@1 62.000 (54.664)	Prec@5 86.000 (83.565)
Epoch: [70][1950/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.6183 (1.6971)	Prec@1 57.000 (54.665)	Prec@5 88.000 (83.561)
Epoch: [70][1960/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.5015 (1.6968)	Prec@1 60.500 (54.673)	Prec@5 86.500 (83.564)
Epoch: [70][1970/9018]	Time 0.656 (0.625)	Data 0.017 (0.004)	Loss 1.8261 (1.6971)	Prec@1 55.500 (54.676)	Prec@5 80.500 (83.561)
Epoch: [70][1980/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.5765 (1.6973)	Prec@1 58.500 (54.676)	Prec@5 85.500 (83.559)
Epoch: [70][1990/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.6725 (1.6975)	Prec@1 55.500 (54.668)	Prec@5 84.500 (83.558)
Epoch: [70][2000/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.8507 (1.6977)	Prec@1 50.500 (54.663)	Prec@5 81.000 (83.556)
Epoch: [70][2010/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.9791 (1.6978)	Prec@1 49.000 (54.661)	Prec@5 79.000 (83.551)
Epoch: [70][2020/9018]	Time 0.610 (0.625)	Data 0.015 (0.004)	Loss 1.8038 (1.6982)	Prec@1 50.500 (54.655)	Prec@5 82.500 (83.549)
Epoch: [70][2030/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.7170 (1.6984)	Prec@1 54.000 (54.649)	Prec@5 85.000 (83.546)
Epoch: [70][2040/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.7286 (1.6984)	Prec@1 55.500 (54.653)	Prec@5 84.500 (83.546)
Epoch: [70][2050/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8406 (1.6982)	Prec@1 53.500 (54.662)	Prec@5 80.000 (83.549)
Epoch: [70][2060/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.7008 (1.6984)	Prec@1 55.000 (54.654)	Prec@5 82.000 (83.544)
Epoch: [70][2070/9018]	Time 0.814 (0.624)	Data 0.001 (0.004)	Loss 1.7683 (1.6984)	Prec@1 49.000 (54.654)	Prec@5 85.500 (83.545)
Epoch: [70][2080/9018]	Time 0.599 (0.624)	Data 0.016 (0.004)	Loss 1.6786 (1.6985)	Prec@1 55.000 (54.652)	Prec@5 82.500 (83.538)
Epoch: [70][2090/9018]	Time 0.604 (0.624)	Data 0.009 (0.004)	Loss 1.6639 (1.6985)	Prec@1 53.000 (54.654)	Prec@5 84.500 (83.537)
Epoch: [70][2100/9018]	Time 0.602 (0.624)	Data 0.013 (0.004)	Loss 1.6638 (1.6981)	Prec@1 56.500 (54.660)	Prec@5 82.500 (83.544)
Epoch: [70][2110/9018]	Time 0.607 (0.624)	Data 0.016 (0.004)	Loss 1.8490 (1.6981)	Prec@1 52.000 (54.655)	Prec@5 82.000 (83.546)
Epoch: [70][2120/9018]	Time 0.756 (0.624)	Data 0.001 (0.004)	Loss 1.7815 (1.6981)	Prec@1 57.500 (54.656)	Prec@5 82.000 (83.548)
Epoch: [70][2130/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.9069 (1.6982)	Prec@1 55.000 (54.651)	Prec@5 81.000 (83.548)
Epoch: [70][2140/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.6662 (1.6984)	Prec@1 49.500 (54.644)	Prec@5 87.500 (83.547)
Epoch: [70][2150/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.6149 (1.6985)	Prec@1 55.500 (54.640)	Prec@5 84.000 (83.544)
Epoch: [70][2160/9018]	Time 0.592 (0.624)	Data 0.004 (0.004)	Loss 1.7104 (1.6987)	Prec@1 52.500 (54.643)	Prec@5 81.000 (83.539)
Epoch: [70][2170/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.5820 (1.6985)	Prec@1 55.500 (54.644)	Prec@5 86.500 (83.542)
Epoch: [70][2180/9018]	Time 0.674 (0.624)	Data 0.027 (0.004)	Loss 1.7734 (1.6983)	Prec@1 51.500 (54.651)	Prec@5 81.500 (83.546)
Epoch: [70][2190/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.7298 (1.6986)	Prec@1 55.500 (54.648)	Prec@5 81.000 (83.539)
Epoch: [70][2200/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.8428 (1.6986)	Prec@1 51.500 (54.647)	Prec@5 81.500 (83.539)
Epoch: [70][2210/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.5478 (1.6987)	Prec@1 56.000 (54.642)	Prec@5 86.500 (83.538)
Epoch: [70][2220/9018]	Time 0.642 (0.624)	Data 0.001 (0.004)	Loss 1.6265 (1.6985)	Prec@1 49.500 (54.637)	Prec@5 85.000 (83.543)
Epoch: [70][2230/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.7395 (1.6984)	Prec@1 48.500 (54.632)	Prec@5 82.500 (83.543)
Epoch: [70][2240/9018]	Time 0.635 (0.624)	Data 0.001 (0.004)	Loss 1.6178 (1.6984)	Prec@1 54.500 (54.628)	Prec@5 84.500 (83.542)
Epoch: [70][2250/9018]	Time 0.632 (0.624)	Data 0.001 (0.004)	Loss 1.4308 (1.6981)	Prec@1 62.500 (54.636)	Prec@5 87.000 (83.549)
Epoch: [70][2260/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.6868 (1.6979)	Prec@1 55.500 (54.638)	Prec@5 83.000 (83.552)
Epoch: [70][2270/9018]	Time 0.629 (0.624)	Data 0.004 (0.004)	Loss 1.8120 (1.6979)	Prec@1 51.500 (54.642)	Prec@5 80.500 (83.550)
Epoch: [70][2280/9018]	Time 0.590 (0.624)	Data 0.001 (0.004)	Loss 1.8956 (1.6981)	Prec@1 47.000 (54.641)	Prec@5 80.000 (83.548)
Epoch: [70][2290/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.6132 (1.6978)	Prec@1 57.500 (54.646)	Prec@5 88.000 (83.555)
Epoch: [70][2300/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.8827 (1.6980)	Prec@1 44.000 (54.635)	Prec@5 81.500 (83.555)
Epoch: [70][2310/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.7126 (1.6979)	Prec@1 51.500 (54.633)	Prec@5 87.000 (83.560)
Epoch: [70][2320/9018]	Time 0.647 (0.624)	Data 0.010 (0.004)	Loss 1.5367 (1.6979)	Prec@1 56.000 (54.627)	Prec@5 88.000 (83.564)
Epoch: [70][2330/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.4616 (1.6978)	Prec@1 60.000 (54.627)	Prec@5 88.500 (83.568)
Epoch: [70][2340/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.8161 (1.6975)	Prec@1 48.000 (54.634)	Prec@5 80.000 (83.572)
Epoch: [70][2350/9018]	Time 0.633 (0.624)	Data 0.007 (0.004)	Loss 1.8384 (1.6975)	Prec@1 51.500 (54.635)	Prec@5 82.500 (83.571)
Epoch: [70][2360/9018]	Time 0.630 (0.624)	Data 0.001 (0.004)	Loss 1.6606 (1.6975)	Prec@1 57.500 (54.636)	Prec@5 85.500 (83.571)
Epoch: [70][2370/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.6210 (1.6973)	Prec@1 55.500 (54.640)	Prec@5 85.000 (83.567)
Epoch: [70][2380/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.8449 (1.6972)	Prec@1 50.000 (54.639)	Prec@5 81.000 (83.567)
Epoch: [70][2390/9018]	Time 0.617 (0.624)	Data 0.006 (0.004)	Loss 1.8234 (1.6972)	Prec@1 52.500 (54.637)	Prec@5 80.000 (83.567)
Epoch: [70][2400/9018]	Time 0.752 (0.624)	Data 0.001 (0.004)	Loss 1.7815 (1.6972)	Prec@1 51.500 (54.640)	Prec@5 80.500 (83.566)
Epoch: [70][2410/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.5961 (1.6973)	Prec@1 58.000 (54.639)	Prec@5 85.500 (83.566)
Epoch: [70][2420/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.5217 (1.6973)	Prec@1 58.500 (54.641)	Prec@5 85.500 (83.563)
Epoch: [70][2430/9018]	Time 0.611 (0.624)	Data 0.001 (0.004)	Loss 1.7132 (1.6973)	Prec@1 52.500 (54.643)	Prec@5 85.000 (83.564)
Epoch: [70][2440/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.8036 (1.6976)	Prec@1 52.000 (54.645)	Prec@5 79.500 (83.558)
Epoch: [70][2450/9018]	Time 0.741 (0.624)	Data 0.001 (0.004)	Loss 1.7284 (1.6972)	Prec@1 54.500 (54.648)	Prec@5 81.000 (83.560)
Epoch: [70][2460/9018]	Time 0.613 (0.624)	Data 0.013 (0.004)	Loss 1.3089 (1.6971)	Prec@1 67.000 (54.655)	Prec@5 88.000 (83.561)
Epoch: [70][2470/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.7767 (1.6971)	Prec@1 52.000 (54.658)	Prec@5 80.000 (83.560)
Epoch: [70][2480/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.6168 (1.6967)	Prec@1 54.500 (54.664)	Prec@5 86.500 (83.567)
Epoch: [70][2490/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.6746 (1.6967)	Prec@1 58.000 (54.665)	Prec@5 83.500 (83.569)
Epoch: [70][2500/9018]	Time 0.612 (0.624)	Data 0.013 (0.004)	Loss 1.7102 (1.6966)	Prec@1 54.500 (54.667)	Prec@5 82.000 (83.572)
Epoch: [70][2510/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.7840 (1.6966)	Prec@1 57.500 (54.669)	Prec@5 80.500 (83.570)
Epoch: [70][2520/9018]	Time 0.623 (0.624)	Data 0.001 (0.004)	Loss 1.6891 (1.6965)	Prec@1 55.500 (54.676)	Prec@5 81.500 (83.567)
Epoch: [70][2530/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.7931 (1.6964)	Prec@1 56.000 (54.679)	Prec@5 83.000 (83.565)
Epoch: [70][2540/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.8225 (1.6961)	Prec@1 53.500 (54.684)	Prec@5 78.500 (83.568)
Epoch: [70][2550/9018]	Time 0.629 (0.624)	Data 0.007 (0.004)	Loss 1.7514 (1.6962)	Prec@1 51.000 (54.682)	Prec@5 83.000 (83.568)
Epoch: [70][2560/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.9913 (1.6962)	Prec@1 48.500 (54.685)	Prec@5 79.500 (83.566)
Epoch: [70][2570/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.7032 (1.6962)	Prec@1 56.000 (54.683)	Prec@5 84.500 (83.562)
Epoch: [70][2580/9018]	Time 0.637 (0.624)	Data 0.001 (0.004)	Loss 1.5723 (1.6962)	Prec@1 58.000 (54.687)	Prec@5 84.000 (83.563)
Epoch: [70][2590/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.4415 (1.6964)	Prec@1 58.500 (54.681)	Prec@5 88.000 (83.560)
Epoch: [70][2600/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.7833 (1.6966)	Prec@1 54.500 (54.678)	Prec@5 85.500 (83.558)
Epoch: [70][2610/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.6768 (1.6968)	Prec@1 54.000 (54.670)	Prec@5 84.000 (83.554)
Epoch: [70][2620/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.4240 (1.6968)	Prec@1 60.000 (54.672)	Prec@5 89.500 (83.554)
Epoch: [70][2630/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.6864 (1.6969)	Prec@1 53.000 (54.669)	Prec@5 86.000 (83.555)
Epoch: [70][2640/9018]	Time 0.643 (0.624)	Data 0.017 (0.004)	Loss 1.6832 (1.6971)	Prec@1 52.500 (54.668)	Prec@5 82.000 (83.548)
Epoch: [70][2650/9018]	Time 0.618 (0.624)	Data 0.003 (0.004)	Loss 1.5982 (1.6971)	Prec@1 56.000 (54.667)	Prec@5 86.500 (83.551)
Epoch: [70][2660/9018]	Time 0.640 (0.624)	Data 0.001 (0.004)	Loss 1.9025 (1.6971)	Prec@1 49.500 (54.667)	Prec@5 83.000 (83.551)
Epoch: [70][2670/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.8356 (1.6972)	Prec@1 52.000 (54.666)	Prec@5 83.000 (83.552)
Epoch: [70][2680/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.5409 (1.6973)	Prec@1 59.500 (54.659)	Prec@5 88.500 (83.558)
Epoch: [70][2690/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.6087 (1.6972)	Prec@1 51.500 (54.663)	Prec@5 86.000 (83.559)
Epoch: [70][2700/9018]	Time 0.619 (0.624)	Data 0.003 (0.004)	Loss 1.8230 (1.6975)	Prec@1 50.500 (54.659)	Prec@5 80.500 (83.552)
Epoch: [70][2710/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.6642 (1.6974)	Prec@1 57.000 (54.661)	Prec@5 83.500 (83.553)
Epoch: [70][2720/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.6779 (1.6973)	Prec@1 50.500 (54.661)	Prec@5 83.000 (83.557)
Epoch: [70][2730/9018]	Time 0.748 (0.624)	Data 0.001 (0.004)	Loss 1.7521 (1.6975)	Prec@1 51.500 (54.659)	Prec@5 83.500 (83.555)
Epoch: [70][2740/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 1.6898 (1.6975)	Prec@1 54.500 (54.656)	Prec@5 83.000 (83.552)
Epoch: [70][2750/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.6587 (1.6974)	Prec@1 55.000 (54.658)	Prec@5 85.500 (83.553)
Epoch: [70][2760/9018]	Time 0.610 (0.624)	Data 0.017 (0.004)	Loss 1.5805 (1.6973)	Prec@1 57.000 (54.658)	Prec@5 84.000 (83.554)
Epoch: [70][2770/9018]	Time 0.591 (0.624)	Data 0.001 (0.004)	Loss 1.6027 (1.6972)	Prec@1 52.000 (54.655)	Prec@5 86.500 (83.558)
Epoch: [70][2780/9018]	Time 0.748 (0.624)	Data 0.001 (0.004)	Loss 2.0058 (1.6975)	Prec@1 46.000 (54.651)	Prec@5 78.000 (83.556)
Epoch: [70][2790/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.6640 (1.6975)	Prec@1 56.000 (54.653)	Prec@5 84.500 (83.556)
Epoch: [70][2800/9018]	Time 0.627 (0.624)	Data 0.001 (0.004)	Loss 1.7343 (1.6976)	Prec@1 51.000 (54.652)	Prec@5 84.000 (83.555)
Epoch: [70][2810/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.5429 (1.6977)	Prec@1 60.500 (54.656)	Prec@5 85.000 (83.554)
Epoch: [70][2820/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.7753 (1.6979)	Prec@1 54.500 (54.653)	Prec@5 82.000 (83.551)
Epoch: [70][2830/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.7360 (1.6980)	Prec@1 53.500 (54.649)	Prec@5 83.500 (83.552)
Epoch: [70][2840/9018]	Time 0.629 (0.624)	Data 0.001 (0.004)	Loss 1.6863 (1.6979)	Prec@1 57.500 (54.656)	Prec@5 85.000 (83.554)
Epoch: [70][2850/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.7174 (1.6979)	Prec@1 54.500 (54.658)	Prec@5 83.500 (83.554)
Epoch: [70][2860/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.6547 (1.6980)	Prec@1 56.000 (54.655)	Prec@5 83.500 (83.554)
Epoch: [70][2870/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 1.7464 (1.6982)	Prec@1 52.500 (54.649)	Prec@5 84.000 (83.552)
Epoch: [70][2880/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.6047 (1.6982)	Prec@1 57.000 (54.651)	Prec@5 86.000 (83.552)
Epoch: [70][2890/9018]	Time 0.623 (0.624)	Data 0.001 (0.004)	Loss 1.6096 (1.6984)	Prec@1 58.000 (54.648)	Prec@5 87.500 (83.548)
Epoch: [70][2900/9018]	Time 0.622 (0.624)	Data 0.001 (0.004)	Loss 1.6803 (1.6986)	Prec@1 50.500 (54.637)	Prec@5 85.500 (83.546)
Epoch: [70][2910/9018]	Time 0.635 (0.624)	Data 0.001 (0.004)	Loss 1.7076 (1.6985)	Prec@1 54.500 (54.639)	Prec@5 84.000 (83.548)
Epoch: [70][2920/9018]	Time 0.633 (0.624)	Data 0.001 (0.004)	Loss 1.8882 (1.6986)	Prec@1 50.000 (54.635)	Prec@5 80.000 (83.546)
Epoch: [70][2930/9018]	Time 0.586 (0.624)	Data 0.001 (0.004)	Loss 1.7169 (1.6986)	Prec@1 52.000 (54.636)	Prec@5 82.500 (83.544)
Epoch: [70][2940/9018]	Time 0.622 (0.624)	Data 0.001 (0.004)	Loss 1.5354 (1.6986)	Prec@1 60.000 (54.638)	Prec@5 88.000 (83.544)
Epoch: [70][2950/9018]	Time 0.638 (0.624)	Data 0.020 (0.004)	Loss 1.7577 (1.6985)	Prec@1 53.000 (54.638)	Prec@5 81.500 (83.545)
Epoch: [70][2960/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.7248 (1.6987)	Prec@1 57.000 (54.628)	Prec@5 84.000 (83.543)
Epoch: [70][2970/9018]	Time 0.628 (0.624)	Data 0.001 (0.004)	Loss 1.5158 (1.6986)	Prec@1 58.500 (54.631)	Prec@5 86.500 (83.546)
Epoch: [70][2980/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.6083 (1.6984)	Prec@1 59.000 (54.642)	Prec@5 84.000 (83.548)
Epoch: [70][2990/9018]	Time 0.625 (0.624)	Data 0.001 (0.004)	Loss 1.6351 (1.6984)	Prec@1 56.500 (54.643)	Prec@5 85.000 (83.547)
Epoch: [70][3000/9018]	Time 0.625 (0.624)	Data 0.001 (0.004)	Loss 1.6612 (1.6985)	Prec@1 51.000 (54.638)	Prec@5 85.500 (83.545)
Epoch: [70][3010/9018]	Time 0.630 (0.624)	Data 0.001 (0.004)	Loss 1.8542 (1.6987)	Prec@1 48.000 (54.635)	Prec@5 84.000 (83.546)
Epoch: [70][3020/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.7407 (1.6987)	Prec@1 51.500 (54.634)	Prec@5 83.000 (83.544)
Epoch: [70][3030/9018]	Time 0.598 (0.624)	Data 0.002 (0.004)	Loss 1.5644 (1.6987)	Prec@1 57.500 (54.634)	Prec@5 85.500 (83.545)
Epoch: [70][3040/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.6879 (1.6987)	Prec@1 55.000 (54.634)	Prec@5 83.500 (83.547)
Epoch: [70][3050/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.5666 (1.6988)	Prec@1 56.000 (54.627)	Prec@5 84.500 (83.542)
Epoch: [70][3060/9018]	Time 0.786 (0.624)	Data 0.001 (0.004)	Loss 1.8647 (1.6989)	Prec@1 52.000 (54.627)	Prec@5 80.500 (83.544)
Epoch: [70][3070/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.7672 (1.6989)	Prec@1 54.000 (54.627)	Prec@5 83.000 (83.545)
Epoch: [70][3080/9018]	Time 0.629 (0.624)	Data 0.014 (0.004)	Loss 1.7365 (1.6988)	Prec@1 51.500 (54.628)	Prec@5 83.000 (83.546)
Epoch: [70][3090/9018]	Time 0.632 (0.624)	Data 0.014 (0.004)	Loss 1.4613 (1.6989)	Prec@1 61.500 (54.625)	Prec@5 86.500 (83.546)
Epoch: [70][3100/9018]	Time 0.639 (0.624)	Data 0.001 (0.004)	Loss 1.5194 (1.6988)	Prec@1 63.000 (54.632)	Prec@5 86.500 (83.544)
Epoch: [70][3110/9018]	Time 0.792 (0.624)	Data 0.017 (0.004)	Loss 1.8485 (1.6990)	Prec@1 47.500 (54.627)	Prec@5 80.500 (83.540)
Epoch: [70][3120/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.6865 (1.6989)	Prec@1 54.000 (54.626)	Prec@5 84.000 (83.541)
Epoch: [70][3130/9018]	Time 0.637 (0.624)	Data 0.001 (0.004)	Loss 2.0012 (1.6992)	Prec@1 48.000 (54.622)	Prec@5 78.500 (83.538)
Epoch: [70][3140/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.7127 (1.6993)	Prec@1 54.000 (54.626)	Prec@5 84.000 (83.534)
Epoch: [70][3150/9018]	Time 0.620 (0.624)	Data 0.004 (0.004)	Loss 1.7911 (1.6994)	Prec@1 51.000 (54.623)	Prec@5 82.000 (83.534)
Epoch: [70][3160/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.5883 (1.6993)	Prec@1 58.000 (54.625)	Prec@5 86.000 (83.537)
Epoch: [70][3170/9018]	Time 0.623 (0.624)	Data 0.001 (0.004)	Loss 1.7210 (1.6990)	Prec@1 55.500 (54.631)	Prec@5 83.500 (83.542)
Epoch: [70][3180/9018]	Time 0.614 (0.624)	Data 0.017 (0.004)	Loss 2.0053 (1.6990)	Prec@1 47.500 (54.627)	Prec@5 80.000 (83.544)
Epoch: [70][3190/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.4602 (1.6990)	Prec@1 61.000 (54.626)	Prec@5 88.500 (83.547)
Epoch: [70][3200/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.8206 (1.6992)	Prec@1 50.500 (54.622)	Prec@5 81.500 (83.545)
Epoch: [70][3210/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.6708 (1.6991)	Prec@1 53.000 (54.626)	Prec@5 83.000 (83.546)
Epoch: [70][3220/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.6671 (1.6992)	Prec@1 55.000 (54.620)	Prec@5 86.000 (83.544)
Epoch: [70][3230/9018]	Time 0.592 (0.624)	Data 0.001 (0.004)	Loss 1.4742 (1.6992)	Prec@1 59.500 (54.619)	Prec@5 88.000 (83.548)
Epoch: [70][3240/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.8141 (1.6994)	Prec@1 52.500 (54.615)	Prec@5 80.000 (83.543)
Epoch: [70][3250/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.5643 (1.6995)	Prec@1 56.000 (54.609)	Prec@5 85.000 (83.543)
Epoch: [70][3260/9018]	Time 0.622 (0.624)	Data 0.001 (0.004)	Loss 1.5059 (1.6996)	Prec@1 61.000 (54.610)	Prec@5 85.500 (83.541)
Epoch: [70][3270/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.6418 (1.6995)	Prec@1 55.500 (54.615)	Prec@5 84.500 (83.540)
Epoch: [70][3280/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.6287 (1.6996)	Prec@1 52.500 (54.615)	Prec@5 85.500 (83.541)
Epoch: [70][3290/9018]	Time 0.619 (0.624)	Data 0.007 (0.004)	Loss 1.5131 (1.6995)	Prec@1 58.000 (54.615)	Prec@5 87.500 (83.542)
Epoch: [70][3300/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.8994 (1.6996)	Prec@1 48.000 (54.611)	Prec@5 80.000 (83.543)
Epoch: [70][3310/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.7110 (1.6997)	Prec@1 54.000 (54.608)	Prec@5 83.500 (83.545)
Epoch: [70][3320/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.5971 (1.6997)	Prec@1 53.500 (54.605)	Prec@5 86.000 (83.545)
Epoch: [70][3330/9018]	Time 0.621 (0.624)	Data 0.015 (0.004)	Loss 1.5073 (1.6998)	Prec@1 58.000 (54.603)	Prec@5 88.000 (83.544)
Epoch: [70][3340/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.6661 (1.6997)	Prec@1 56.000 (54.606)	Prec@5 82.500 (83.545)
Epoch: [70][3350/9018]	Time 0.638 (0.624)	Data 0.014 (0.004)	Loss 1.7743 (1.6995)	Prec@1 48.500 (54.611)	Prec@5 84.000 (83.549)
Epoch: [70][3360/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.8724 (1.6996)	Prec@1 49.500 (54.612)	Prec@5 79.500 (83.550)
Epoch: [70][3370/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.6680 (1.6993)	Prec@1 55.500 (54.617)	Prec@5 80.500 (83.551)
Epoch: [70][3380/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.7083 (1.6991)	Prec@1 51.500 (54.624)	Prec@5 83.000 (83.555)
Epoch: [70][3390/9018]	Time 0.805 (0.624)	Data 0.001 (0.004)	Loss 1.5743 (1.6991)	Prec@1 57.000 (54.627)	Prec@5 86.500 (83.555)
Epoch: [70][3400/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 2.0045 (1.6992)	Prec@1 50.000 (54.624)	Prec@5 79.500 (83.555)
Epoch: [70][3410/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.5620 (1.6992)	Prec@1 57.000 (54.624)	Prec@5 86.500 (83.554)
Epoch: [70][3420/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.6629 (1.6994)	Prec@1 58.000 (54.621)	Prec@5 82.500 (83.550)
Epoch: [70][3430/9018]	Time 0.625 (0.624)	Data 0.016 (0.003)	Loss 1.6011 (1.6994)	Prec@1 53.500 (54.618)	Prec@5 82.500 (83.549)
Epoch: [70][3440/9018]	Time 0.760 (0.624)	Data 0.001 (0.003)	Loss 1.8288 (1.6995)	Prec@1 54.000 (54.617)	Prec@5 79.500 (83.546)
Epoch: [70][3450/9018]	Time 0.630 (0.624)	Data 0.017 (0.004)	Loss 1.9715 (1.6998)	Prec@1 51.000 (54.609)	Prec@5 77.000 (83.543)
Epoch: [70][3460/9018]	Time 0.647 (0.624)	Data 0.001 (0.003)	Loss 1.8311 (1.6998)	Prec@1 51.500 (54.608)	Prec@5 82.500 (83.541)
Epoch: [70][3470/9018]	Time 0.622 (0.624)	Data 0.016 (0.003)	Loss 1.7237 (1.6997)	Prec@1 50.000 (54.611)	Prec@5 85.000 (83.541)
Epoch: [70][3480/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.8023 (1.7000)	Prec@1 50.000 (54.605)	Prec@5 82.500 (83.539)
Epoch: [70][3490/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.5926 (1.6999)	Prec@1 52.500 (54.605)	Prec@5 86.500 (83.539)
Epoch: [70][3500/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.6875 (1.6998)	Prec@1 55.000 (54.609)	Prec@5 82.000 (83.542)
Epoch: [70][3510/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.6547 (1.6996)	Prec@1 54.500 (54.611)	Prec@5 85.000 (83.547)
Epoch: [70][3520/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.5805 (1.6997)	Prec@1 56.500 (54.610)	Prec@5 84.500 (83.545)
Epoch: [70][3530/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.7459 (1.6997)	Prec@1 55.500 (54.609)	Prec@5 84.000 (83.546)
Epoch: [70][3540/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7647 (1.6998)	Prec@1 51.500 (54.612)	Prec@5 85.000 (83.543)
Epoch: [70][3550/9018]	Time 0.623 (0.623)	Data 0.009 (0.003)	Loss 1.8921 (1.6997)	Prec@1 49.000 (54.616)	Prec@5 83.000 (83.546)
Epoch: [70][3560/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.7359 (1.6998)	Prec@1 52.500 (54.614)	Prec@5 81.500 (83.549)
Epoch: [70][3570/9018]	Time 0.588 (0.623)	Data 0.001 (0.003)	Loss 1.6395 (1.6997)	Prec@1 56.000 (54.614)	Prec@5 85.500 (83.553)
Epoch: [70][3580/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8617 (1.6996)	Prec@1 53.000 (54.613)	Prec@5 81.500 (83.556)
Epoch: [70][3590/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.5709 (1.6996)	Prec@1 63.000 (54.613)	Prec@5 85.500 (83.556)
Epoch: [70][3600/9018]	Time 0.616 (0.623)	Data 0.004 (0.003)	Loss 1.5415 (1.6994)	Prec@1 61.500 (54.618)	Prec@5 84.500 (83.559)
Epoch: [70][3610/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6475 (1.6994)	Prec@1 54.500 (54.616)	Prec@5 86.000 (83.559)
Epoch: [70][3620/9018]	Time 0.586 (0.623)	Data 0.001 (0.003)	Loss 1.6741 (1.6994)	Prec@1 57.500 (54.615)	Prec@5 85.000 (83.562)
Epoch: [70][3630/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.5871 (1.6993)	Prec@1 53.500 (54.613)	Prec@5 85.500 (83.562)
Epoch: [70][3640/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7265 (1.6994)	Prec@1 52.500 (54.615)	Prec@5 81.500 (83.562)
Epoch: [70][3650/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8013 (1.6995)	Prec@1 54.500 (54.612)	Prec@5 79.000 (83.559)
Epoch: [70][3660/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8312 (1.6995)	Prec@1 55.000 (54.609)	Prec@5 80.500 (83.559)
Epoch: [70][3670/9018]	Time 0.613 (0.623)	Data 0.019 (0.003)	Loss 1.7120 (1.6996)	Prec@1 54.500 (54.608)	Prec@5 83.500 (83.559)
Epoch: [70][3680/9018]	Time 0.640 (0.623)	Data 0.018 (0.003)	Loss 1.8891 (1.6996)	Prec@1 51.000 (54.607)	Prec@5 78.500 (83.560)
Epoch: [70][3690/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7409 (1.6998)	Prec@1 49.000 (54.603)	Prec@5 86.000 (83.557)
Epoch: [70][3700/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6536 (1.6999)	Prec@1 54.000 (54.598)	Prec@5 86.000 (83.555)
Epoch: [70][3710/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8424 (1.6999)	Prec@1 48.500 (54.598)	Prec@5 81.000 (83.554)
Epoch: [70][3720/9018]	Time 0.743 (0.623)	Data 0.001 (0.003)	Loss 1.6066 (1.6999)	Prec@1 58.500 (54.593)	Prec@5 86.500 (83.556)
Epoch: [70][3730/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.5355 (1.6997)	Prec@1 59.000 (54.595)	Prec@5 87.000 (83.559)
Epoch: [70][3740/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.4610 (1.6995)	Prec@1 60.500 (54.599)	Prec@5 87.500 (83.563)
Epoch: [70][3750/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7111 (1.6994)	Prec@1 52.000 (54.603)	Prec@5 85.000 (83.565)
Epoch: [70][3760/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8389 (1.6992)	Prec@1 52.500 (54.607)	Prec@5 81.500 (83.568)
Epoch: [70][3770/9018]	Time 0.732 (0.623)	Data 0.001 (0.003)	Loss 1.5648 (1.6993)	Prec@1 56.000 (54.606)	Prec@5 87.500 (83.568)
Epoch: [70][3780/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7716 (1.6992)	Prec@1 53.000 (54.608)	Prec@5 81.500 (83.569)
Epoch: [70][3790/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8771 (1.6993)	Prec@1 49.500 (54.606)	Prec@5 81.000 (83.570)
Epoch: [70][3800/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8655 (1.6994)	Prec@1 48.500 (54.604)	Prec@5 84.000 (83.571)
Epoch: [70][3810/9018]	Time 0.617 (0.623)	Data 0.016 (0.003)	Loss 1.9392 (1.6994)	Prec@1 50.000 (54.604)	Prec@5 79.500 (83.570)
Epoch: [70][3820/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.5689 (1.6994)	Prec@1 58.000 (54.604)	Prec@5 84.000 (83.571)
Epoch: [70][3830/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6151 (1.6994)	Prec@1 57.500 (54.604)	Prec@5 84.500 (83.570)
Epoch: [70][3840/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6395 (1.6994)	Prec@1 54.000 (54.599)	Prec@5 86.500 (83.572)
Epoch: [70][3850/9018]	Time 0.602 (0.623)	Data 0.004 (0.003)	Loss 1.7807 (1.6995)	Prec@1 51.000 (54.599)	Prec@5 81.000 (83.569)
Epoch: [70][3860/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7545 (1.6995)	Prec@1 55.000 (54.593)	Prec@5 84.000 (83.568)
Epoch: [70][3870/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7311 (1.6996)	Prec@1 52.000 (54.590)	Prec@5 83.500 (83.567)
Epoch: [70][3880/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.4453 (1.6995)	Prec@1 58.500 (54.594)	Prec@5 89.500 (83.570)
Epoch: [70][3890/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7601 (1.6996)	Prec@1 51.500 (54.594)	Prec@5 82.500 (83.569)
Epoch: [70][3900/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.5108 (1.6996)	Prec@1 61.000 (54.595)	Prec@5 87.500 (83.569)
Epoch: [70][3910/9018]	Time 0.615 (0.623)	Data 0.016 (0.003)	Loss 1.7038 (1.6995)	Prec@1 58.000 (54.600)	Prec@5 82.500 (83.571)
Epoch: [70][3920/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7210 (1.6996)	Prec@1 53.000 (54.603)	Prec@5 84.000 (83.567)
Epoch: [70][3930/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.8321 (1.6995)	Prec@1 53.000 (54.601)	Prec@5 81.500 (83.568)
Epoch: [70][3940/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.4528 (1.6994)	Prec@1 57.500 (54.602)	Prec@5 84.000 (83.569)
Epoch: [70][3950/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6257 (1.6993)	Prec@1 56.000 (54.602)	Prec@5 83.000 (83.568)
Epoch: [70][3960/9018]	Time 0.623 (0.623)	Data 0.017 (0.003)	Loss 1.5572 (1.6993)	Prec@1 58.500 (54.606)	Prec@5 85.000 (83.567)
Epoch: [70][3970/9018]	Time 0.587 (0.623)	Data 0.003 (0.003)	Loss 1.6494 (1.6993)	Prec@1 57.000 (54.607)	Prec@5 84.000 (83.569)
Epoch: [70][3980/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8552 (1.6994)	Prec@1 53.000 (54.607)	Prec@5 81.500 (83.567)
Epoch: [70][3990/9018]	Time 0.649 (0.623)	Data 0.016 (0.003)	Loss 1.6197 (1.6996)	Prec@1 61.000 (54.604)	Prec@5 85.000 (83.565)
Epoch: [70][4000/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7474 (1.6996)	Prec@1 56.500 (54.604)	Prec@5 85.000 (83.566)
Epoch: [70][4010/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.5837 (1.6996)	Prec@1 56.500 (54.604)	Prec@5 85.000 (83.565)
Epoch: [70][4020/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.6491 (1.6996)	Prec@1 56.000 (54.604)	Prec@5 83.000 (83.563)
Epoch: [70][4030/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.6028 (1.6995)	Prec@1 57.500 (54.605)	Prec@5 86.500 (83.564)
Epoch: [70][4040/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6709 (1.6995)	Prec@1 54.500 (54.605)	Prec@5 84.500 (83.563)
Epoch: [70][4050/9018]	Time 0.755 (0.623)	Data 0.001 (0.003)	Loss 1.6607 (1.6997)	Prec@1 53.500 (54.603)	Prec@5 86.000 (83.559)
Epoch: [70][4060/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.6991 (1.6997)	Prec@1 51.500 (54.603)	Prec@5 83.000 (83.560)
Epoch: [70][4070/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.6167 (1.6996)	Prec@1 55.000 (54.602)	Prec@5 87.000 (83.562)
Epoch: [70][4080/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.5448 (1.6996)	Prec@1 57.500 (54.606)	Prec@5 87.000 (83.563)
Epoch: [70][4090/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7190 (1.6997)	Prec@1 55.000 (54.605)	Prec@5 82.500 (83.560)
Epoch: [70][4100/9018]	Time 0.726 (0.623)	Data 0.001 (0.003)	Loss 1.8605 (1.6997)	Prec@1 51.000 (54.602)	Prec@5 81.000 (83.561)
Epoch: [70][4110/9018]	Time 0.621 (0.623)	Data 0.007 (0.003)	Loss 1.4575 (1.6996)	Prec@1 60.500 (54.605)	Prec@5 89.000 (83.563)
Epoch: [70][4120/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.5826 (1.6995)	Prec@1 56.500 (54.608)	Prec@5 85.000 (83.566)
Epoch: [70][4130/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.6501 (1.6993)	Prec@1 57.500 (54.611)	Prec@5 81.500 (83.568)
Epoch: [70][4140/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7405 (1.6994)	Prec@1 51.500 (54.610)	Prec@5 81.000 (83.566)
Epoch: [70][4150/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7012 (1.6994)	Prec@1 53.500 (54.609)	Prec@5 82.500 (83.565)
Epoch: [70][4160/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8569 (1.6994)	Prec@1 53.500 (54.608)	Prec@5 82.000 (83.566)
Epoch: [70][4170/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6412 (1.6993)	Prec@1 56.000 (54.610)	Prec@5 84.500 (83.569)
Epoch: [70][4180/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7739 (1.6994)	Prec@1 49.500 (54.606)	Prec@5 83.000 (83.566)
Epoch: [70][4190/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6781 (1.6992)	Prec@1 55.500 (54.612)	Prec@5 84.000 (83.567)
Epoch: [70][4200/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7944 (1.6991)	Prec@1 51.500 (54.611)	Prec@5 78.500 (83.569)
Epoch: [70][4210/9018]	Time 0.612 (0.623)	Data 0.002 (0.003)	Loss 1.6756 (1.6992)	Prec@1 50.500 (54.604)	Prec@5 84.500 (83.569)
Epoch: [70][4220/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 2.0072 (1.6993)	Prec@1 50.000 (54.605)	Prec@5 79.500 (83.566)
Epoch: [70][4230/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8882 (1.6994)	Prec@1 53.500 (54.603)	Prec@5 80.000 (83.563)
Epoch: [70][4240/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6903 (1.6993)	Prec@1 58.500 (54.604)	Prec@5 84.000 (83.565)
Epoch: [70][4250/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7577 (1.6993)	Prec@1 56.000 (54.605)	Prec@5 84.000 (83.566)
Epoch: [70][4260/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8198 (1.6994)	Prec@1 57.500 (54.605)	Prec@5 77.500 (83.560)
Epoch: [70][4270/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8363 (1.6994)	Prec@1 49.500 (54.600)	Prec@5 80.500 (83.559)
Epoch: [70][4280/9018]	Time 0.614 (0.623)	Data 0.014 (0.003)	Loss 1.8220 (1.6995)	Prec@1 53.000 (54.597)	Prec@5 84.000 (83.559)
Epoch: [70][4290/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.5521 (1.6993)	Prec@1 57.000 (54.601)	Prec@5 87.500 (83.563)
Epoch: [70][4300/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.5837 (1.6994)	Prec@1 55.000 (54.600)	Prec@5 88.000 (83.562)
Epoch: [70][4310/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6319 (1.6992)	Prec@1 54.500 (54.604)	Prec@5 86.000 (83.564)
Epoch: [70][4320/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6084 (1.6992)	Prec@1 60.000 (54.605)	Prec@5 86.500 (83.564)
Epoch: [70][4330/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8917 (1.6992)	Prec@1 50.500 (54.608)	Prec@5 80.500 (83.567)
Epoch: [70][4340/9018]	Time 0.609 (0.623)	Data 0.002 (0.003)	Loss 1.4960 (1.6990)	Prec@1 61.500 (54.609)	Prec@5 82.500 (83.565)
Epoch: [70][4350/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.6462 (1.6990)	Prec@1 59.500 (54.611)	Prec@5 83.000 (83.565)
Epoch: [70][4360/9018]	Time 0.607 (0.623)	Data 0.014 (0.003)	Loss 1.7584 (1.6990)	Prec@1 52.000 (54.611)	Prec@5 81.500 (83.564)
Epoch: [70][4370/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.6541 (1.6991)	Prec@1 56.500 (54.609)	Prec@5 86.000 (83.562)
Epoch: [70][4380/9018]	Time 0.778 (0.623)	Data 0.001 (0.003)	Loss 1.8928 (1.6991)	Prec@1 49.000 (54.608)	Prec@5 81.500 (83.563)
Epoch: [70][4390/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7565 (1.6990)	Prec@1 53.000 (54.608)	Prec@5 83.000 (83.564)
Epoch: [70][4400/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6169 (1.6990)	Prec@1 58.500 (54.609)	Prec@5 84.000 (83.564)
Epoch: [70][4410/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.6366 (1.6990)	Prec@1 57.500 (54.610)	Prec@5 84.000 (83.564)
Epoch: [70][4420/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.5438 (1.6990)	Prec@1 55.000 (54.608)	Prec@5 86.000 (83.564)
Epoch: [70][4430/9018]	Time 0.736 (0.623)	Data 0.011 (0.003)	Loss 1.7240 (1.6991)	Prec@1 54.000 (54.608)	Prec@5 83.000 (83.565)
Epoch: [70][4440/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7300 (1.6991)	Prec@1 52.000 (54.606)	Prec@5 83.000 (83.564)
Epoch: [70][4450/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7441 (1.6991)	Prec@1 47.500 (54.605)	Prec@5 81.500 (83.561)
Epoch: [70][4460/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6518 (1.6990)	Prec@1 59.000 (54.609)	Prec@5 84.000 (83.563)
Epoch: [70][4470/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.5938 (1.6990)	Prec@1 60.500 (54.610)	Prec@5 86.000 (83.563)
Epoch: [70][4480/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.4140 (1.6989)	Prec@1 61.000 (54.613)	Prec@5 87.500 (83.564)
Epoch: [70][4490/9018]	Time 0.656 (0.623)	Data 0.001 (0.003)	Loss 1.6298 (1.6989)	Prec@1 53.000 (54.613)	Prec@5 86.000 (83.564)
Epoch: [70][4500/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6657 (1.6988)	Prec@1 59.000 (54.616)	Prec@5 83.500 (83.565)
Epoch: [70][4510/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7333 (1.6990)	Prec@1 53.000 (54.612)	Prec@5 85.000 (83.562)
Epoch: [70][4520/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6337 (1.6990)	Prec@1 52.000 (54.610)	Prec@5 84.500 (83.558)
Epoch: [70][4530/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7273 (1.6991)	Prec@1 54.000 (54.610)	Prec@5 83.500 (83.555)
Epoch: [70][4540/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7563 (1.6990)	Prec@1 55.000 (54.612)	Prec@5 85.500 (83.554)
Epoch: [70][4550/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7016 (1.6991)	Prec@1 56.500 (54.610)	Prec@5 86.000 (83.554)
Epoch: [70][4560/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.5926 (1.6992)	Prec@1 57.000 (54.609)	Prec@5 84.500 (83.553)
Epoch: [70][4570/9018]	Time 0.615 (0.623)	Data 0.014 (0.003)	Loss 1.8003 (1.6992)	Prec@1 56.000 (54.612)	Prec@5 81.000 (83.552)
Epoch: [70][4580/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.9151 (1.6992)	Prec@1 50.000 (54.615)	Prec@5 78.000 (83.551)
Epoch: [70][4590/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6670 (1.6992)	Prec@1 55.500 (54.616)	Prec@5 82.500 (83.550)
Epoch: [70][4600/9018]	Time 0.623 (0.623)	Data 0.002 (0.003)	Loss 1.6663 (1.6992)	Prec@1 58.500 (54.615)	Prec@5 81.500 (83.550)
Epoch: [70][4610/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6472 (1.6993)	Prec@1 52.000 (54.611)	Prec@5 85.500 (83.548)
Epoch: [70][4620/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.6567 (1.6992)	Prec@1 56.500 (54.612)	Prec@5 84.000 (83.551)
Epoch: [70][4630/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7221 (1.6992)	Prec@1 53.500 (54.611)	Prec@5 84.000 (83.551)
Epoch: [70][4640/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.5757 (1.6993)	Prec@1 56.000 (54.610)	Prec@5 84.500 (83.552)
Epoch: [70][4650/9018]	Time 0.604 (0.623)	Data 0.002 (0.003)	Loss 1.7745 (1.6992)	Prec@1 52.500 (54.611)	Prec@5 82.500 (83.554)
Epoch: [70][4660/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7095 (1.6993)	Prec@1 56.000 (54.610)	Prec@5 85.000 (83.554)
Epoch: [70][4670/9018]	Time 0.631 (0.623)	Data 0.009 (0.003)	Loss 1.5885 (1.6991)	Prec@1 56.000 (54.612)	Prec@5 83.000 (83.556)
Epoch: [70][4680/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.4248 (1.6991)	Prec@1 59.000 (54.613)	Prec@5 88.500 (83.557)
Epoch: [70][4690/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7548 (1.6991)	Prec@1 53.000 (54.613)	Prec@5 84.000 (83.558)
Epoch: [70][4700/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.5086 (1.6991)	Prec@1 56.000 (54.612)	Prec@5 86.500 (83.560)
Epoch: [70][4710/9018]	Time 0.725 (0.623)	Data 0.001 (0.003)	Loss 1.6784 (1.6991)	Prec@1 58.000 (54.614)	Prec@5 82.500 (83.558)
Epoch: [70][4720/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.8735 (1.6992)	Prec@1 48.500 (54.614)	Prec@5 82.500 (83.557)
Epoch: [70][4730/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6693 (1.6993)	Prec@1 58.000 (54.612)	Prec@5 82.500 (83.555)
Epoch: [70][4740/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6114 (1.6992)	Prec@1 56.500 (54.613)	Prec@5 85.500 (83.556)
Epoch: [70][4750/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.5994 (1.6992)	Prec@1 56.500 (54.615)	Prec@5 84.000 (83.555)
Epoch: [70][4760/9018]	Time 0.727 (0.623)	Data 0.001 (0.003)	Loss 1.5666 (1.6992)	Prec@1 54.500 (54.615)	Prec@5 86.500 (83.555)
Epoch: [70][4770/9018]	Time 0.592 (0.623)	Data 0.014 (0.003)	Loss 1.7415 (1.6991)	Prec@1 58.000 (54.617)	Prec@5 83.000 (83.556)
Epoch: [70][4780/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.9401 (1.6991)	Prec@1 47.500 (54.615)	Prec@5 79.000 (83.558)
Epoch: [70][4790/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7290 (1.6990)	Prec@1 57.000 (54.617)	Prec@5 82.500 (83.559)
Epoch: [70][4800/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7858 (1.6991)	Prec@1 58.500 (54.620)	Prec@5 78.500 (83.557)
Epoch: [70][4810/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.5681 (1.6992)	Prec@1 54.000 (54.615)	Prec@5 87.500 (83.553)
Epoch: [70][4820/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8708 (1.6992)	Prec@1 49.000 (54.615)	Prec@5 83.500 (83.556)
Epoch: [70][4830/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7665 (1.6992)	Prec@1 56.500 (54.618)	Prec@5 85.000 (83.555)
Epoch: [70][4840/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6555 (1.6993)	Prec@1 53.500 (54.617)	Prec@5 85.000 (83.555)
Epoch: [70][4850/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5810 (1.6991)	Prec@1 55.500 (54.622)	Prec@5 85.500 (83.556)
Epoch: [70][4860/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.5756 (1.6991)	Prec@1 55.500 (54.618)	Prec@5 84.000 (83.557)
Epoch: [70][4870/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.6456 (1.6990)	Prec@1 55.500 (54.623)	Prec@5 83.500 (83.558)
Epoch: [70][4880/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7419 (1.6990)	Prec@1 52.000 (54.623)	Prec@5 83.500 (83.557)
Epoch: [70][4890/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.5817 (1.6989)	Prec@1 55.000 (54.624)	Prec@5 88.000 (83.559)
Epoch: [70][4900/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6613 (1.6988)	Prec@1 54.500 (54.628)	Prec@5 84.500 (83.562)
Epoch: [70][4910/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6093 (1.6988)	Prec@1 53.500 (54.627)	Prec@5 85.000 (83.561)
Epoch: [70][4920/9018]	Time 0.659 (0.623)	Data 0.001 (0.003)	Loss 1.7992 (1.6989)	Prec@1 52.500 (54.624)	Prec@5 84.000 (83.563)
Epoch: [70][4930/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6766 (1.6989)	Prec@1 57.000 (54.626)	Prec@5 84.000 (83.563)
Epoch: [70][4940/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6844 (1.6989)	Prec@1 56.500 (54.627)	Prec@5 85.000 (83.561)
Epoch: [70][4950/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.7780 (1.6988)	Prec@1 51.000 (54.628)	Prec@5 81.000 (83.561)
Epoch: [70][4960/9018]	Time 0.639 (0.623)	Data 0.021 (0.003)	Loss 1.9347 (1.6989)	Prec@1 48.500 (54.629)	Prec@5 78.000 (83.560)
Epoch: [70][4970/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7858 (1.6989)	Prec@1 53.500 (54.628)	Prec@5 82.000 (83.559)
Epoch: [70][4980/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7012 (1.6989)	Prec@1 52.500 (54.625)	Prec@5 84.000 (83.561)
Epoch: [70][4990/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7072 (1.6989)	Prec@1 54.000 (54.626)	Prec@5 85.000 (83.561)
Epoch: [70][5000/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7279 (1.6988)	Prec@1 55.000 (54.626)	Prec@5 82.500 (83.559)
Epoch: [70][5010/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.9147 (1.6989)	Prec@1 48.000 (54.624)	Prec@5 80.000 (83.560)
Epoch: [70][5020/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7350 (1.6988)	Prec@1 51.500 (54.626)	Prec@5 81.000 (83.562)
Epoch: [70][5030/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7504 (1.6986)	Prec@1 55.500 (54.631)	Prec@5 82.000 (83.562)
Epoch: [70][5040/9018]	Time 0.750 (0.623)	Data 0.001 (0.003)	Loss 1.6459 (1.6987)	Prec@1 56.000 (54.629)	Prec@5 83.000 (83.561)
Epoch: [70][5050/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.5632 (1.6988)	Prec@1 57.500 (54.629)	Prec@5 88.000 (83.561)
Epoch: [70][5060/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5584 (1.6988)	Prec@1 56.500 (54.626)	Prec@5 85.500 (83.561)
Epoch: [70][5070/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.9030 (1.6988)	Prec@1 49.500 (54.625)	Prec@5 84.500 (83.562)
Epoch: [70][5080/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.9720 (1.6988)	Prec@1 47.500 (54.624)	Prec@5 79.000 (83.562)
Epoch: [70][5090/9018]	Time 0.712 (0.623)	Data 0.001 (0.003)	Loss 1.7647 (1.6988)	Prec@1 52.500 (54.625)	Prec@5 83.500 (83.564)
Epoch: [70][5100/9018]	Time 0.605 (0.623)	Data 0.017 (0.003)	Loss 1.5423 (1.6988)	Prec@1 58.000 (54.621)	Prec@5 84.500 (83.564)
Epoch: [70][5110/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.8233 (1.6989)	Prec@1 50.000 (54.616)	Prec@5 83.500 (83.561)
Epoch: [70][5120/9018]	Time 0.646 (0.623)	Data 0.001 (0.003)	Loss 1.7607 (1.6990)	Prec@1 53.500 (54.616)	Prec@5 83.000 (83.560)
Epoch: [70][5130/9018]	Time 0.649 (0.623)	Data 0.002 (0.003)	Loss 1.8621 (1.6992)	Prec@1 50.000 (54.614)	Prec@5 82.000 (83.558)
Epoch: [70][5140/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6704 (1.6991)	Prec@1 52.000 (54.615)	Prec@5 83.500 (83.557)
Epoch: [70][5150/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.7178 (1.6991)	Prec@1 53.500 (54.612)	Prec@5 80.500 (83.556)
Epoch: [70][5160/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6927 (1.6992)	Prec@1 52.500 (54.610)	Prec@5 83.000 (83.554)
Epoch: [70][5170/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.7621 (1.6992)	Prec@1 55.000 (54.611)	Prec@5 80.000 (83.556)
Epoch: [70][5180/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6394 (1.6993)	Prec@1 55.500 (54.609)	Prec@5 87.000 (83.555)
Epoch: [70][5190/9018]	Time 0.624 (0.623)	Data 0.016 (0.003)	Loss 1.8318 (1.6993)	Prec@1 53.000 (54.608)	Prec@5 79.500 (83.554)
Epoch: [70][5200/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6302 (1.6994)	Prec@1 54.000 (54.604)	Prec@5 83.500 (83.554)
Epoch: [70][5210/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6714 (1.6995)	Prec@1 56.000 (54.603)	Prec@5 85.000 (83.554)
Epoch: [70][5220/9018]	Time 0.617 (0.623)	Data 0.003 (0.003)	Loss 1.9826 (1.6996)	Prec@1 46.500 (54.601)	Prec@5 80.500 (83.553)
Epoch: [70][5230/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.8097 (1.6996)	Prec@1 51.500 (54.602)	Prec@5 85.000 (83.554)
Epoch: [70][5240/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8446 (1.6997)	Prec@1 54.500 (54.600)	Prec@5 80.000 (83.552)
Epoch: [70][5250/9018]	Time 0.634 (0.623)	Data 0.003 (0.003)	Loss 1.9041 (1.6997)	Prec@1 49.500 (54.597)	Prec@5 79.500 (83.552)
Epoch: [70][5260/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.5799 (1.6998)	Prec@1 55.000 (54.593)	Prec@5 84.000 (83.550)
Epoch: [70][5270/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8285 (1.6999)	Prec@1 53.000 (54.594)	Prec@5 82.000 (83.547)
Epoch: [70][5280/9018]	Time 0.617 (0.623)	Data 0.015 (0.003)	Loss 1.6913 (1.7000)	Prec@1 51.000 (54.594)	Prec@5 83.000 (83.546)
Epoch: [70][5290/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7222 (1.6999)	Prec@1 50.000 (54.594)	Prec@5 88.000 (83.549)
Epoch: [70][5300/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7671 (1.6998)	Prec@1 54.000 (54.599)	Prec@5 84.000 (83.551)
Epoch: [70][5310/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.4498 (1.6998)	Prec@1 61.500 (54.602)	Prec@5 84.500 (83.551)
Epoch: [70][5320/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.7875 (1.6999)	Prec@1 53.000 (54.598)	Prec@5 78.500 (83.549)
Epoch: [70][5330/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7988 (1.6999)	Prec@1 51.000 (54.599)	Prec@5 81.500 (83.548)
Epoch: [70][5340/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.6799 (1.7000)	Prec@1 58.000 (54.596)	Prec@5 84.000 (83.547)
Epoch: [70][5350/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7109 (1.7000)	Prec@1 59.000 (54.596)	Prec@5 82.500 (83.547)
Epoch: [70][5360/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7188 (1.6999)	Prec@1 51.500 (54.597)	Prec@5 82.000 (83.548)
Epoch: [70][5370/9018]	Time 0.793 (0.623)	Data 0.001 (0.003)	Loss 1.8365 (1.7001)	Prec@1 52.000 (54.593)	Prec@5 79.000 (83.547)
Epoch: [70][5380/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6759 (1.7002)	Prec@1 57.500 (54.593)	Prec@5 82.500 (83.547)
Epoch: [70][5390/9018]	Time 0.628 (0.623)	Data 0.016 (0.003)	Loss 1.7843 (1.7001)	Prec@1 54.500 (54.594)	Prec@5 83.000 (83.545)
Epoch: [70][5400/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7835 (1.7002)	Prec@1 54.500 (54.595)	Prec@5 79.000 (83.543)
Epoch: [70][5410/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6575 (1.7002)	Prec@1 56.000 (54.594)	Prec@5 85.000 (83.542)
Epoch: [70][5420/9018]	Time 0.716 (0.623)	Data 0.001 (0.003)	Loss 1.9478 (1.7002)	Prec@1 48.000 (54.594)	Prec@5 81.000 (83.542)
Epoch: [70][5430/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.6282 (1.7002)	Prec@1 58.500 (54.593)	Prec@5 86.500 (83.543)
Epoch: [70][5440/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.5781 (1.7002)	Prec@1 52.500 (54.591)	Prec@5 85.500 (83.544)
Epoch: [70][5450/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.7324 (1.7003)	Prec@1 56.000 (54.589)	Prec@5 81.500 (83.541)
Epoch: [70][5460/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7832 (1.7002)	Prec@1 53.000 (54.594)	Prec@5 82.500 (83.543)
Epoch: [70][5470/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6547 (1.7002)	Prec@1 50.500 (54.593)	Prec@5 84.500 (83.542)
Epoch: [70][5480/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7545 (1.7002)	Prec@1 53.000 (54.592)	Prec@5 85.000 (83.542)
Epoch: [70][5490/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7801 (1.7002)	Prec@1 49.500 (54.591)	Prec@5 81.500 (83.540)
Epoch: [70][5500/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.5201 (1.7004)	Prec@1 56.500 (54.589)	Prec@5 87.000 (83.537)
Epoch: [70][5510/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8549 (1.7004)	Prec@1 53.500 (54.590)	Prec@5 80.000 (83.537)
Epoch: [70][5520/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7917 (1.7002)	Prec@1 52.000 (54.594)	Prec@5 77.500 (83.538)
Epoch: [70][5530/9018]	Time 0.623 (0.623)	Data 0.005 (0.003)	Loss 1.8567 (1.7003)	Prec@1 50.000 (54.591)	Prec@5 80.000 (83.537)
Epoch: [70][5540/9018]	Time 0.623 (0.623)	Data 0.003 (0.003)	Loss 1.7964 (1.7004)	Prec@1 56.000 (54.591)	Prec@5 84.000 (83.535)
Epoch: [70][5550/9018]	Time 0.609 (0.623)	Data 0.016 (0.003)	Loss 1.7434 (1.7003)	Prec@1 51.500 (54.592)	Prec@5 84.000 (83.537)
Epoch: [70][5560/9018]	Time 0.587 (0.623)	Data 0.001 (0.003)	Loss 1.6465 (1.7004)	Prec@1 52.000 (54.589)	Prec@5 88.500 (83.537)
Epoch: [70][5570/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6632 (1.7004)	Prec@1 53.000 (54.588)	Prec@5 85.500 (83.538)
Epoch: [70][5580/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7684 (1.7004)	Prec@1 55.000 (54.587)	Prec@5 81.500 (83.537)
Epoch: [70][5590/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.8175 (1.7004)	Prec@1 51.500 (54.586)	Prec@5 83.000 (83.537)
Epoch: [70][5600/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7222 (1.7004)	Prec@1 51.500 (54.584)	Prec@5 85.000 (83.537)
Epoch: [70][5610/9018]	Time 0.630 (0.623)	Data 0.016 (0.003)	Loss 1.7348 (1.7004)	Prec@1 57.000 (54.586)	Prec@5 82.000 (83.537)
Epoch: [70][5620/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.7254 (1.7004)	Prec@1 54.500 (54.588)	Prec@5 85.000 (83.537)
Epoch: [70][5630/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.8261 (1.7003)	Prec@1 57.500 (54.590)	Prec@5 82.500 (83.537)
Epoch: [70][5640/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.9841 (1.7004)	Prec@1 46.500 (54.587)	Prec@5 78.000 (83.535)
Epoch: [70][5650/9018]	Time 0.662 (0.623)	Data 0.001 (0.003)	Loss 1.8918 (1.7004)	Prec@1 53.000 (54.586)	Prec@5 76.500 (83.534)
Epoch: [70][5660/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7400 (1.7004)	Prec@1 53.000 (54.585)	Prec@5 81.500 (83.532)
Epoch: [70][5670/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6487 (1.7003)	Prec@1 55.000 (54.586)	Prec@5 84.000 (83.535)
Epoch: [70][5680/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7412 (1.7003)	Prec@1 54.000 (54.587)	Prec@5 82.500 (83.534)
Epoch: [70][5690/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7067 (1.7004)	Prec@1 56.500 (54.589)	Prec@5 83.000 (83.534)
Epoch: [70][5700/9018]	Time 0.760 (0.623)	Data 0.001 (0.003)	Loss 1.8009 (1.7003)	Prec@1 52.500 (54.590)	Prec@5 81.500 (83.535)
Epoch: [70][5710/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.5160 (1.7003)	Prec@1 56.500 (54.591)	Prec@5 87.000 (83.536)
Epoch: [70][5720/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.9975 (1.7004)	Prec@1 46.000 (54.589)	Prec@5 79.000 (83.537)
Epoch: [70][5730/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7287 (1.7003)	Prec@1 54.500 (54.591)	Prec@5 83.000 (83.536)
Epoch: [70][5740/9018]	Time 0.606 (0.623)	Data 0.004 (0.003)	Loss 1.6953 (1.7003)	Prec@1 55.500 (54.592)	Prec@5 85.000 (83.536)
Epoch: [70][5750/9018]	Time 0.748 (0.623)	Data 0.001 (0.003)	Loss 1.9823 (1.7004)	Prec@1 50.500 (54.592)	Prec@5 77.500 (83.537)
Epoch: [70][5760/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.5526 (1.7003)	Prec@1 59.500 (54.592)	Prec@5 86.000 (83.538)
Epoch: [70][5770/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7090 (1.7003)	Prec@1 57.000 (54.592)	Prec@5 81.500 (83.539)
Epoch: [70][5780/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6836 (1.7003)	Prec@1 54.000 (54.593)	Prec@5 85.500 (83.540)
Epoch: [70][5790/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7110 (1.7004)	Prec@1 56.000 (54.592)	Prec@5 82.500 (83.537)
Epoch: [70][5800/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.5130 (1.7004)	Prec@1 54.500 (54.589)	Prec@5 88.500 (83.538)
Epoch: [70][5810/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6965 (1.7003)	Prec@1 58.000 (54.592)	Prec@5 86.500 (83.540)
Epoch: [70][5820/9018]	Time 0.600 (0.623)	Data 0.011 (0.003)	Loss 1.7478 (1.7003)	Prec@1 53.000 (54.591)	Prec@5 83.000 (83.539)
Epoch: [70][5830/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.8032 (1.7004)	Prec@1 55.000 (54.590)	Prec@5 81.000 (83.537)
Epoch: [70][5840/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6825 (1.7005)	Prec@1 53.500 (54.587)	Prec@5 87.000 (83.537)
Epoch: [70][5850/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.5524 (1.7005)	Prec@1 57.000 (54.588)	Prec@5 86.500 (83.537)
Epoch: [70][5860/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6901 (1.7006)	Prec@1 51.500 (54.586)	Prec@5 85.500 (83.536)
Epoch: [70][5870/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6904 (1.7005)	Prec@1 51.500 (54.588)	Prec@5 81.000 (83.535)
Epoch: [70][5880/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7272 (1.7005)	Prec@1 53.000 (54.588)	Prec@5 84.000 (83.536)
Epoch: [70][5890/9018]	Time 0.635 (0.623)	Data 0.017 (0.003)	Loss 1.6861 (1.7005)	Prec@1 55.500 (54.588)	Prec@5 81.500 (83.535)
Epoch: [70][5900/9018]	Time 0.630 (0.623)	Data 0.016 (0.003)	Loss 1.6940 (1.7006)	Prec@1 55.000 (54.586)	Prec@5 83.000 (83.534)
Epoch: [70][5910/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.6752 (1.7006)	Prec@1 56.000 (54.585)	Prec@5 87.000 (83.534)
Epoch: [70][5920/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.6837 (1.7006)	Prec@1 53.500 (54.584)	Prec@5 82.000 (83.533)
Epoch: [70][5930/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6376 (1.7005)	Prec@1 55.500 (54.588)	Prec@5 87.000 (83.535)
Epoch: [70][5940/9018]	Time 0.598 (0.623)	Data 0.013 (0.003)	Loss 1.7195 (1.7004)	Prec@1 57.500 (54.589)	Prec@5 84.500 (83.537)
Epoch: [70][5950/9018]	Time 0.623 (0.623)	Data 0.016 (0.003)	Loss 1.7723 (1.7005)	Prec@1 50.000 (54.588)	Prec@5 84.000 (83.537)
Epoch: [70][5960/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6336 (1.7004)	Prec@1 55.000 (54.589)	Prec@5 84.500 (83.536)
Epoch: [70][5970/9018]	Time 0.588 (0.623)	Data 0.001 (0.003)	Loss 1.3841 (1.7003)	Prec@1 59.500 (54.592)	Prec@5 89.500 (83.538)
Epoch: [70][5980/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7373 (1.7003)	Prec@1 58.000 (54.596)	Prec@5 82.000 (83.538)
Epoch: [70][5990/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.8317 (1.7003)	Prec@1 46.500 (54.593)	Prec@5 82.500 (83.537)
Epoch: [70][6000/9018]	Time 0.619 (0.623)	Data 0.014 (0.003)	Loss 1.6130 (1.7003)	Prec@1 54.000 (54.593)	Prec@5 86.000 (83.537)
Epoch: [70][6010/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7950 (1.7002)	Prec@1 54.000 (54.595)	Prec@5 77.500 (83.539)
Epoch: [70][6020/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.5845 (1.7001)	Prec@1 60.000 (54.597)	Prec@5 84.500 (83.539)
Epoch: [70][6030/9018]	Time 0.751 (0.623)	Data 0.001 (0.003)	Loss 1.6572 (1.7002)	Prec@1 58.000 (54.597)	Prec@5 84.000 (83.538)
Epoch: [70][6040/9018]	Time 0.592 (0.623)	Data 0.016 (0.003)	Loss 1.6084 (1.7001)	Prec@1 57.500 (54.597)	Prec@5 85.000 (83.540)
Epoch: [70][6050/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7076 (1.7002)	Prec@1 55.000 (54.597)	Prec@5 84.500 (83.540)
Epoch: [70][6060/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7344 (1.7002)	Prec@1 54.000 (54.597)	Prec@5 82.000 (83.539)
Epoch: [70][6070/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.8122 (1.7002)	Prec@1 51.000 (54.597)	Prec@5 82.500 (83.537)
Epoch: [70][6080/9018]	Time 0.733 (0.623)	Data 0.001 (0.003)	Loss 1.7606 (1.7003)	Prec@1 50.500 (54.597)	Prec@5 82.500 (83.537)
Epoch: [70][6090/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.5722 (1.7003)	Prec@1 59.000 (54.598)	Prec@5 84.500 (83.536)
Epoch: [70][6100/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.9112 (1.7004)	Prec@1 47.500 (54.594)	Prec@5 83.000 (83.534)
Epoch: [70][6110/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7609 (1.7003)	Prec@1 55.500 (54.597)	Prec@5 80.000 (83.533)
Epoch: [70][6120/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8121 (1.7004)	Prec@1 49.000 (54.598)	Prec@5 84.500 (83.533)
Epoch: [70][6130/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.5844 (1.7003)	Prec@1 60.000 (54.600)	Prec@5 86.000 (83.535)
Epoch: [70][6140/9018]	Time 0.629 (0.623)	Data 0.002 (0.003)	Loss 1.4502 (1.7002)	Prec@1 63.000 (54.604)	Prec@5 88.000 (83.538)
Epoch: [70][6150/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6852 (1.7002)	Prec@1 51.000 (54.601)	Prec@5 85.500 (83.538)
Epoch: [70][6160/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6208 (1.7003)	Prec@1 57.000 (54.598)	Prec@5 81.500 (83.536)
Epoch: [70][6170/9018]	Time 0.609 (0.623)	Data 0.015 (0.003)	Loss 1.5068 (1.7002)	Prec@1 57.000 (54.600)	Prec@5 86.000 (83.537)
Epoch: [70][6180/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.5023 (1.7001)	Prec@1 58.500 (54.603)	Prec@5 88.000 (83.539)
Epoch: [70][6190/9018]	Time 0.589 (0.623)	Data 0.001 (0.003)	Loss 1.5070 (1.7002)	Prec@1 53.000 (54.600)	Prec@5 88.500 (83.539)
Epoch: [70][6200/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7903 (1.7002)	Prec@1 54.500 (54.600)	Prec@5 80.500 (83.539)
Epoch: [70][6210/9018]	Time 0.639 (0.623)	Data 0.003 (0.003)	Loss 1.8061 (1.7002)	Prec@1 50.500 (54.598)	Prec@5 81.500 (83.539)
Epoch: [70][6220/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6443 (1.7002)	Prec@1 56.500 (54.597)	Prec@5 85.500 (83.538)
Epoch: [70][6230/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7678 (1.7002)	Prec@1 52.500 (54.596)	Prec@5 83.500 (83.538)
Epoch: [70][6240/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6826 (1.7002)	Prec@1 54.000 (54.595)	Prec@5 84.500 (83.539)
Epoch: [70][6250/9018]	Time 0.616 (0.623)	Data 0.003 (0.003)	Loss 1.6873 (1.7003)	Prec@1 56.500 (54.594)	Prec@5 83.000 (83.536)
Epoch: [70][6260/9018]	Time 0.639 (0.623)	Data 0.013 (0.003)	Loss 1.8009 (1.7003)	Prec@1 52.500 (54.592)	Prec@5 82.000 (83.537)
Epoch: [70][6270/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.6283 (1.7004)	Prec@1 55.000 (54.590)	Prec@5 84.500 (83.536)
Epoch: [70][6280/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6652 (1.7003)	Prec@1 55.000 (54.591)	Prec@5 84.500 (83.537)
Epoch: [70][6290/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8001 (1.7004)	Prec@1 51.000 (54.590)	Prec@5 82.500 (83.535)
Epoch: [70][6300/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.5691 (1.7004)	Prec@1 55.500 (54.590)	Prec@5 85.000 (83.536)
Epoch: [70][6310/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8062 (1.7005)	Prec@1 54.500 (54.589)	Prec@5 82.500 (83.534)
Epoch: [70][6320/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.5487 (1.7005)	Prec@1 58.500 (54.589)	Prec@5 85.500 (83.535)
Epoch: [70][6330/9018]	Time 0.623 (0.623)	Data 0.013 (0.003)	Loss 1.4368 (1.7004)	Prec@1 61.000 (54.590)	Prec@5 84.500 (83.536)
Epoch: [70][6340/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6357 (1.7004)	Prec@1 60.000 (54.591)	Prec@5 82.000 (83.536)
Epoch: [70][6350/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7120 (1.7005)	Prec@1 54.000 (54.590)	Prec@5 86.000 (83.534)
Epoch: [70][6360/9018]	Time 0.762 (0.623)	Data 0.001 (0.003)	Loss 1.5760 (1.7005)	Prec@1 57.000 (54.589)	Prec@5 85.500 (83.534)
Epoch: [70][6370/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.5593 (1.7005)	Prec@1 59.500 (54.590)	Prec@5 88.500 (83.534)
Epoch: [70][6380/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6947 (1.7005)	Prec@1 55.500 (54.591)	Prec@5 85.000 (83.533)
Epoch: [70][6390/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7222 (1.7005)	Prec@1 54.000 (54.592)	Prec@5 82.500 (83.531)
Epoch: [70][6400/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.8164 (1.7005)	Prec@1 45.000 (54.590)	Prec@5 80.500 (83.532)
Epoch: [70][6410/9018]	Time 0.744 (0.623)	Data 0.001 (0.003)	Loss 1.8511 (1.7006)	Prec@1 55.500 (54.589)	Prec@5 80.500 (83.531)
Epoch: [70][6420/9018]	Time 0.649 (0.623)	Data 0.001 (0.003)	Loss 1.5503 (1.7005)	Prec@1 63.000 (54.590)	Prec@5 85.500 (83.532)
Epoch: [70][6430/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7408 (1.7006)	Prec@1 56.000 (54.590)	Prec@5 82.500 (83.531)
Epoch: [70][6440/9018]	Time 0.607 (0.623)	Data 0.004 (0.003)	Loss 1.6546 (1.7005)	Prec@1 52.500 (54.590)	Prec@5 85.000 (83.531)
Epoch: [70][6450/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6141 (1.7005)	Prec@1 62.000 (54.592)	Prec@5 84.000 (83.531)
Epoch: [70][6460/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7105 (1.7004)	Prec@1 52.500 (54.593)	Prec@5 82.500 (83.533)
Epoch: [70][6470/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.5818 (1.7004)	Prec@1 55.000 (54.592)	Prec@5 86.000 (83.534)
Epoch: [70][6480/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7482 (1.7004)	Prec@1 50.000 (54.592)	Prec@5 83.500 (83.533)
Epoch: [70][6490/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7189 (1.7004)	Prec@1 55.500 (54.592)	Prec@5 82.500 (83.532)
Epoch: [70][6500/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.4944 (1.7005)	Prec@1 59.500 (54.592)	Prec@5 85.000 (83.531)
Epoch: [70][6510/9018]	Time 0.610 (0.623)	Data 0.002 (0.003)	Loss 1.8343 (1.7006)	Prec@1 54.000 (54.590)	Prec@5 84.500 (83.530)
Epoch: [70][6520/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.8316 (1.7006)	Prec@1 49.000 (54.588)	Prec@5 83.000 (83.530)
Epoch: [70][6530/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.5861 (1.7007)	Prec@1 58.500 (54.584)	Prec@5 86.000 (83.528)
Epoch: [70][6540/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7801 (1.7007)	Prec@1 52.500 (54.584)	Prec@5 82.000 (83.527)
Epoch: [70][6550/9018]	Time 0.604 (0.623)	Data 0.017 (0.003)	Loss 1.5271 (1.7007)	Prec@1 55.000 (54.583)	Prec@5 86.000 (83.524)
Epoch: [70][6560/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.7957 (1.7007)	Prec@1 50.000 (54.583)	Prec@5 81.000 (83.525)
Epoch: [70][6570/9018]	Time 0.622 (0.623)	Data 0.016 (0.003)	Loss 1.8342 (1.7008)	Prec@1 55.500 (54.581)	Prec@5 81.000 (83.524)
Epoch: [70][6580/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6873 (1.7009)	Prec@1 51.000 (54.578)	Prec@5 87.500 (83.523)
Epoch: [70][6590/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.6927 (1.7009)	Prec@1 53.500 (54.578)	Prec@5 84.500 (83.522)
Epoch: [70][6600/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.5949 (1.7008)	Prec@1 59.000 (54.579)	Prec@5 85.000 (83.524)
Epoch: [70][6610/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7444 (1.7008)	Prec@1 56.500 (54.580)	Prec@5 83.000 (83.525)
Epoch: [70][6620/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5650 (1.7008)	Prec@1 56.500 (54.579)	Prec@5 88.000 (83.524)
Epoch: [70][6630/9018]	Time 0.640 (0.623)	Data 0.014 (0.003)	Loss 1.6341 (1.7008)	Prec@1 57.500 (54.579)	Prec@5 83.500 (83.524)
Epoch: [70][6640/9018]	Time 0.776 (0.623)	Data 0.001 (0.003)	Loss 1.5319 (1.7008)	Prec@1 61.500 (54.581)	Prec@5 86.000 (83.525)
Epoch: [70][6650/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6035 (1.7007)	Prec@1 60.000 (54.583)	Prec@5 84.000 (83.528)
Epoch: [70][6660/9018]	Time 0.602 (0.623)	Data 0.005 (0.003)	Loss 1.5712 (1.7006)	Prec@1 60.000 (54.585)	Prec@5 87.500 (83.530)
Epoch: [70][6670/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.5728 (1.7006)	Prec@1 53.000 (54.583)	Prec@5 83.500 (83.530)
Epoch: [70][6680/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7041 (1.7005)	Prec@1 55.000 (54.584)	Prec@5 81.500 (83.531)
Epoch: [70][6690/9018]	Time 0.739 (0.623)	Data 0.016 (0.003)	Loss 1.7065 (1.7005)	Prec@1 55.500 (54.584)	Prec@5 84.500 (83.531)
Epoch: [70][6700/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7423 (1.7006)	Prec@1 54.500 (54.584)	Prec@5 83.500 (83.531)
Epoch: [70][6710/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.6934 (1.7006)	Prec@1 51.000 (54.582)	Prec@5 83.500 (83.530)
Epoch: [70][6720/9018]	Time 0.646 (0.623)	Data 0.008 (0.003)	Loss 1.5784 (1.7006)	Prec@1 58.500 (54.582)	Prec@5 85.500 (83.532)
Epoch: [70][6730/9018]	Time 0.648 (0.623)	Data 0.001 (0.003)	Loss 1.8007 (1.7006)	Prec@1 53.000 (54.581)	Prec@5 83.000 (83.532)
Epoch: [70][6740/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6655 (1.7005)	Prec@1 59.000 (54.585)	Prec@5 82.000 (83.532)
Epoch: [70][6750/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5924 (1.7005)	Prec@1 57.500 (54.584)	Prec@5 85.500 (83.533)
Epoch: [70][6760/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7039 (1.7005)	Prec@1 52.500 (54.583)	Prec@5 83.000 (83.532)
Epoch: [70][6770/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 2.0376 (1.7006)	Prec@1 48.500 (54.581)	Prec@5 77.500 (83.530)
Epoch: [70][6780/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6294 (1.7006)	Prec@1 56.500 (54.581)	Prec@5 85.000 (83.530)
Epoch: [70][6790/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.5431 (1.7005)	Prec@1 54.000 (54.582)	Prec@5 88.000 (83.533)
Epoch: [70][6800/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.5677 (1.7006)	Prec@1 54.000 (54.581)	Prec@5 86.500 (83.532)
Epoch: [70][6810/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7683 (1.7006)	Prec@1 50.000 (54.579)	Prec@5 84.000 (83.531)
Epoch: [70][6820/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.9223 (1.7006)	Prec@1 54.500 (54.580)	Prec@5 82.500 (83.532)
Epoch: [70][6830/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8246 (1.7007)	Prec@1 50.500 (54.576)	Prec@5 82.000 (83.531)
Epoch: [70][6840/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.6614 (1.7007)	Prec@1 55.000 (54.577)	Prec@5 82.000 (83.529)
Epoch: [70][6850/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.7049 (1.7007)	Prec@1 57.000 (54.575)	Prec@5 82.500 (83.529)
Epoch: [70][6860/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7195 (1.7008)	Prec@1 51.500 (54.572)	Prec@5 84.500 (83.528)
Epoch: [70][6870/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.6666 (1.7008)	Prec@1 55.000 (54.571)	Prec@5 85.000 (83.527)
Epoch: [70][6880/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7204 (1.7009)	Prec@1 57.000 (54.568)	Prec@5 82.000 (83.524)
Epoch: [70][6890/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8172 (1.7009)	Prec@1 50.500 (54.569)	Prec@5 81.500 (83.524)
Epoch: [70][6900/9018]	Time 0.619 (0.623)	Data 0.005 (0.003)	Loss 1.7524 (1.7008)	Prec@1 53.500 (54.570)	Prec@5 80.500 (83.525)
Epoch: [70][6910/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.8734 (1.7009)	Prec@1 54.500 (54.568)	Prec@5 79.500 (83.524)
Epoch: [70][6920/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8655 (1.7009)	Prec@1 48.500 (54.566)	Prec@5 81.000 (83.524)
Epoch: [70][6930/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8067 (1.7010)	Prec@1 51.000 (54.564)	Prec@5 84.500 (83.521)
Epoch: [70][6940/9018]	Time 0.630 (0.623)	Data 0.014 (0.003)	Loss 1.7754 (1.7011)	Prec@1 50.000 (54.562)	Prec@5 85.500 (83.521)
Epoch: [70][6950/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7306 (1.7010)	Prec@1 53.000 (54.564)	Prec@5 84.000 (83.522)
Epoch: [70][6960/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.4229 (1.7010)	Prec@1 62.000 (54.565)	Prec@5 88.500 (83.522)
Epoch: [70][6970/9018]	Time 0.755 (0.623)	Data 0.001 (0.003)	Loss 1.7451 (1.7010)	Prec@1 53.000 (54.565)	Prec@5 82.500 (83.522)
Epoch: [70][6980/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8403 (1.7010)	Prec@1 49.000 (54.564)	Prec@5 83.000 (83.523)
Epoch: [70][6990/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6527 (1.7010)	Prec@1 54.500 (54.565)	Prec@5 82.000 (83.523)
Epoch: [70][7000/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8254 (1.7011)	Prec@1 53.500 (54.563)	Prec@5 81.500 (83.523)
Epoch: [70][7010/9018]	Time 0.633 (0.623)	Data 0.013 (0.003)	Loss 1.8283 (1.7012)	Prec@1 55.000 (54.562)	Prec@5 83.000 (83.521)
Epoch: [70][7020/9018]	Time 0.733 (0.623)	Data 0.001 (0.003)	Loss 1.5643 (1.7012)	Prec@1 59.000 (54.565)	Prec@5 83.500 (83.521)
Epoch: [70][7030/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7748 (1.7012)	Prec@1 54.000 (54.563)	Prec@5 83.000 (83.520)
Epoch: [70][7040/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6115 (1.7012)	Prec@1 56.500 (54.565)	Prec@5 85.500 (83.520)
Epoch: [70][7050/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7513 (1.7012)	Prec@1 54.500 (54.566)	Prec@5 82.500 (83.521)
Epoch: [70][7060/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7964 (1.7011)	Prec@1 51.000 (54.568)	Prec@5 81.500 (83.522)
Epoch: [70][7070/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8584 (1.7011)	Prec@1 49.000 (54.566)	Prec@5 83.500 (83.523)
Epoch: [70][7080/9018]	Time 0.614 (0.623)	Data 0.002 (0.003)	Loss 1.7079 (1.7011)	Prec@1 53.500 (54.565)	Prec@5 83.000 (83.522)
Epoch: [70][7090/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.8570 (1.7011)	Prec@1 52.000 (54.565)	Prec@5 81.000 (83.522)
Epoch: [70][7100/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7695 (1.7011)	Prec@1 52.500 (54.564)	Prec@5 82.000 (83.521)
Epoch: [70][7110/9018]	Time 0.617 (0.623)	Data 0.009 (0.003)	Loss 1.5954 (1.7013)	Prec@1 55.000 (54.560)	Prec@5 84.500 (83.517)
Epoch: [70][7120/9018]	Time 0.646 (0.623)	Data 0.015 (0.003)	Loss 1.6801 (1.7013)	Prec@1 60.000 (54.561)	Prec@5 82.500 (83.516)
Epoch: [70][7130/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7716 (1.7013)	Prec@1 55.000 (54.562)	Prec@5 84.000 (83.516)
Epoch: [70][7140/9018]	Time 0.613 (0.623)	Data 0.017 (0.003)	Loss 1.5730 (1.7013)	Prec@1 54.500 (54.558)	Prec@5 86.000 (83.515)
Epoch: [70][7150/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.6320 (1.7013)	Prec@1 57.500 (54.561)	Prec@5 81.000 (83.516)
Epoch: [70][7160/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.9189 (1.7014)	Prec@1 49.500 (54.559)	Prec@5 79.000 (83.513)
Epoch: [70][7170/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6418 (1.7014)	Prec@1 57.000 (54.561)	Prec@5 83.500 (83.513)
Epoch: [70][7180/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.7336 (1.7014)	Prec@1 52.500 (54.563)	Prec@5 83.000 (83.513)
Epoch: [70][7190/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6315 (1.7013)	Prec@1 53.500 (54.564)	Prec@5 86.000 (83.513)
Epoch: [70][7200/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6638 (1.7014)	Prec@1 57.000 (54.563)	Prec@5 83.500 (83.512)
Epoch: [70][7210/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.5664 (1.7013)	Prec@1 56.500 (54.564)	Prec@5 84.500 (83.514)
Epoch: [70][7220/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.7127 (1.7013)	Prec@1 51.500 (54.564)	Prec@5 83.000 (83.514)
Epoch: [70][7230/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.9165 (1.7013)	Prec@1 50.500 (54.564)	Prec@5 82.500 (83.514)
Epoch: [70][7240/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.8046 (1.7014)	Prec@1 51.500 (54.563)	Prec@5 81.000 (83.512)
Epoch: [70][7250/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6225 (1.7014)	Prec@1 61.000 (54.565)	Prec@5 83.000 (83.512)
Epoch: [70][7260/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7817 (1.7014)	Prec@1 54.000 (54.564)	Prec@5 83.000 (83.512)
Epoch: [70][7270/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6837 (1.7013)	Prec@1 51.500 (54.566)	Prec@5 84.000 (83.512)
Epoch: [70][7280/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7984 (1.7014)	Prec@1 55.500 (54.564)	Prec@5 81.000 (83.510)
Epoch: [70][7290/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.6377 (1.7014)	Prec@1 53.500 (54.563)	Prec@5 86.000 (83.509)
Epoch: [70][7300/9018]	Time 0.763 (0.623)	Data 0.001 (0.003)	Loss 1.6460 (1.7015)	Prec@1 54.000 (54.561)	Prec@5 87.500 (83.508)
Epoch: [70][7310/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.5924 (1.7015)	Prec@1 56.500 (54.562)	Prec@5 85.000 (83.509)
Epoch: [70][7320/9018]	Time 0.608 (0.623)	Data 0.004 (0.003)	Loss 1.7206 (1.7015)	Prec@1 52.500 (54.560)	Prec@5 83.500 (83.508)
Epoch: [70][7330/9018]	Time 0.617 (0.623)	Data 0.004 (0.003)	Loss 1.6224 (1.7015)	Prec@1 58.000 (54.560)	Prec@5 81.500 (83.508)
Epoch: [70][7340/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6879 (1.7015)	Prec@1 56.000 (54.562)	Prec@5 85.500 (83.507)
Epoch: [70][7350/9018]	Time 0.738 (0.623)	Data 0.001 (0.003)	Loss 1.6897 (1.7016)	Prec@1 54.500 (54.560)	Prec@5 82.000 (83.506)
Epoch: [70][7360/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.5751 (1.7016)	Prec@1 58.500 (54.558)	Prec@5 84.500 (83.504)
Epoch: [70][7370/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6306 (1.7017)	Prec@1 56.500 (54.557)	Prec@5 84.500 (83.503)
Epoch: [70][7380/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7007 (1.7018)	Prec@1 57.000 (54.556)	Prec@5 84.000 (83.502)
Epoch: [70][7390/9018]	Time 0.602 (0.623)	Data 0.014 (0.003)	Loss 1.6389 (1.7018)	Prec@1 50.000 (54.553)	Prec@5 85.000 (83.502)
Epoch: [70][7400/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7759 (1.7018)	Prec@1 56.000 (54.553)	Prec@5 82.000 (83.502)
Epoch: [70][7410/9018]	Time 0.621 (0.622)	Data 0.016 (0.003)	Loss 1.4129 (1.7018)	Prec@1 58.000 (54.551)	Prec@5 89.500 (83.501)
Epoch: [70][7420/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7457 (1.7018)	Prec@1 52.500 (54.550)	Prec@5 84.000 (83.500)
Epoch: [70][7430/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8571 (1.7018)	Prec@1 51.000 (54.550)	Prec@5 77.000 (83.499)
Epoch: [70][7440/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.4526 (1.7018)	Prec@1 60.500 (54.551)	Prec@5 89.000 (83.499)
Epoch: [70][7450/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.6110 (1.7018)	Prec@1 57.000 (54.552)	Prec@5 85.500 (83.500)
Epoch: [70][7460/9018]	Time 0.603 (0.623)	Data 0.017 (0.003)	Loss 1.6936 (1.7018)	Prec@1 54.500 (54.549)	Prec@5 83.000 (83.500)
Epoch: [70][7470/9018]	Time 0.613 (0.623)	Data 0.020 (0.003)	Loss 1.9891 (1.7019)	Prec@1 43.000 (54.547)	Prec@5 79.000 (83.499)
Epoch: [70][7480/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.7002 (1.7019)	Prec@1 52.000 (54.547)	Prec@5 84.500 (83.500)
Epoch: [70][7490/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.5288 (1.7019)	Prec@1 60.500 (54.547)	Prec@5 86.000 (83.500)
Epoch: [70][7500/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6682 (1.7019)	Prec@1 53.500 (54.545)	Prec@5 85.000 (83.500)
Epoch: [70][7510/9018]	Time 0.624 (0.623)	Data 0.015 (0.003)	Loss 1.8062 (1.7020)	Prec@1 49.000 (54.544)	Prec@5 84.000 (83.500)
Epoch: [70][7520/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.5821 (1.7020)	Prec@1 56.000 (54.543)	Prec@5 86.500 (83.499)
Epoch: [70][7530/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7141 (1.7020)	Prec@1 57.000 (54.543)	Prec@5 83.000 (83.499)
Epoch: [70][7540/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8325 (1.7020)	Prec@1 54.500 (54.543)	Prec@5 81.500 (83.498)
Epoch: [70][7550/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6372 (1.7021)	Prec@1 56.500 (54.543)	Prec@5 86.000 (83.497)
Epoch: [70][7560/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.8105 (1.7021)	Prec@1 55.000 (54.541)	Prec@5 81.500 (83.497)
Epoch: [70][7570/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6161 (1.7021)	Prec@1 53.500 (54.541)	Prec@5 84.500 (83.497)
Epoch: [70][7580/9018]	Time 0.627 (0.623)	Data 0.020 (0.003)	Loss 1.6774 (1.7022)	Prec@1 54.000 (54.539)	Prec@5 85.000 (83.496)
Epoch: [70][7590/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.5478 (1.7022)	Prec@1 57.500 (54.538)	Prec@5 86.000 (83.495)
Epoch: [70][7600/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8554 (1.7023)	Prec@1 53.000 (54.536)	Prec@5 80.500 (83.492)
Epoch: [70][7610/9018]	Time 0.596 (0.623)	Data 0.013 (0.003)	Loss 1.7139 (1.7024)	Prec@1 52.500 (54.536)	Prec@5 85.500 (83.492)
Epoch: [70][7620/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6290 (1.7024)	Prec@1 55.000 (54.536)	Prec@5 84.500 (83.493)
Epoch: [70][7630/9018]	Time 0.733 (0.623)	Data 0.001 (0.003)	Loss 1.7259 (1.7024)	Prec@1 53.500 (54.534)	Prec@5 84.000 (83.492)
Epoch: [70][7640/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7379 (1.7024)	Prec@1 52.500 (54.535)	Prec@5 87.500 (83.494)
Epoch: [70][7650/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.5969 (1.7024)	Prec@1 58.000 (54.534)	Prec@5 83.500 (83.493)
Epoch: [70][7660/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8263 (1.7024)	Prec@1 50.000 (54.533)	Prec@5 76.000 (83.491)
Epoch: [70][7670/9018]	Time 0.634 (0.622)	Data 0.014 (0.003)	Loss 1.8723 (1.7024)	Prec@1 49.500 (54.532)	Prec@5 79.000 (83.492)
Epoch: [70][7680/9018]	Time 0.770 (0.622)	Data 0.010 (0.003)	Loss 1.9069 (1.7024)	Prec@1 48.500 (54.533)	Prec@5 79.500 (83.492)
Epoch: [70][7690/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.8258 (1.7024)	Prec@1 57.000 (54.534)	Prec@5 80.000 (83.490)
Epoch: [70][7700/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.6726 (1.7023)	Prec@1 56.000 (54.535)	Prec@5 82.000 (83.492)
Epoch: [70][7710/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.9118 (1.7023)	Prec@1 49.500 (54.534)	Prec@5 81.500 (83.492)
Epoch: [70][7720/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.8301 (1.7023)	Prec@1 50.000 (54.535)	Prec@5 83.000 (83.493)
Epoch: [70][7730/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7908 (1.7024)	Prec@1 52.500 (54.533)	Prec@5 83.000 (83.492)
Epoch: [70][7740/9018]	Time 0.636 (0.622)	Data 0.001 (0.003)	Loss 1.6559 (1.7023)	Prec@1 54.500 (54.533)	Prec@5 82.000 (83.492)
Epoch: [70][7750/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.6326 (1.7023)	Prec@1 58.000 (54.534)	Prec@5 79.000 (83.493)
Epoch: [70][7760/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.7083 (1.7023)	Prec@1 51.500 (54.534)	Prec@5 83.000 (83.492)
Epoch: [70][7770/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.5314 (1.7022)	Prec@1 57.000 (54.535)	Prec@5 84.000 (83.494)
Epoch: [70][7780/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.6323 (1.7023)	Prec@1 58.000 (54.534)	Prec@5 83.000 (83.492)
Epoch: [70][7790/9018]	Time 0.615 (0.622)	Data 0.012 (0.003)	Loss 1.7891 (1.7023)	Prec@1 51.500 (54.532)	Prec@5 83.000 (83.490)
Epoch: [70][7800/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.6444 (1.7023)	Prec@1 60.000 (54.533)	Prec@5 84.500 (83.490)
Epoch: [70][7810/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7533 (1.7023)	Prec@1 51.500 (54.531)	Prec@5 85.000 (83.490)
Epoch: [70][7820/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.4336 (1.7022)	Prec@1 63.000 (54.533)	Prec@5 88.000 (83.493)
Epoch: [70][7830/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.5768 (1.7022)	Prec@1 60.000 (54.535)	Prec@5 84.000 (83.494)
Epoch: [70][7840/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.5635 (1.7023)	Prec@1 54.000 (54.533)	Prec@5 84.500 (83.491)
Epoch: [70][7850/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.7294 (1.7023)	Prec@1 51.000 (54.532)	Prec@5 81.000 (83.488)
Epoch: [70][7860/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.6418 (1.7023)	Prec@1 56.000 (54.532)	Prec@5 85.000 (83.489)
Epoch: [70][7870/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7811 (1.7025)	Prec@1 49.000 (54.528)	Prec@5 84.500 (83.487)
Epoch: [70][7880/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.7096 (1.7025)	Prec@1 57.000 (54.526)	Prec@5 84.500 (83.486)
Epoch: [70][7890/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.5473 (1.7025)	Prec@1 55.500 (54.525)	Prec@5 85.000 (83.486)
Epoch: [70][7900/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.6576 (1.7026)	Prec@1 59.000 (54.524)	Prec@5 84.000 (83.487)
Epoch: [70][7910/9018]	Time 0.744 (0.622)	Data 0.001 (0.003)	Loss 1.9140 (1.7026)	Prec@1 54.000 (54.523)	Prec@5 77.000 (83.486)
Epoch: [70][7920/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.7629 (1.7026)	Prec@1 54.000 (54.522)	Prec@5 82.000 (83.485)
Epoch: [70][7930/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.8059 (1.7026)	Prec@1 54.500 (54.521)	Prec@5 80.000 (83.485)
Epoch: [70][7940/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7588 (1.7026)	Prec@1 52.000 (54.520)	Prec@5 81.500 (83.485)
Epoch: [70][7950/9018]	Time 0.638 (0.622)	Data 0.001 (0.003)	Loss 1.6221 (1.7026)	Prec@1 54.000 (54.522)	Prec@5 84.500 (83.485)
Epoch: [70][7960/9018]	Time 0.747 (0.622)	Data 0.001 (0.003)	Loss 1.6273 (1.7026)	Prec@1 57.000 (54.523)	Prec@5 84.500 (83.486)
Epoch: [70][7970/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.7604 (1.7025)	Prec@1 55.500 (54.524)	Prec@5 86.500 (83.487)
Epoch: [70][7980/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7003 (1.7026)	Prec@1 55.000 (54.522)	Prec@5 82.500 (83.485)
Epoch: [70][7990/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.6430 (1.7025)	Prec@1 56.000 (54.525)	Prec@5 84.000 (83.487)
Epoch: [70][8000/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.6931 (1.7025)	Prec@1 56.500 (54.524)	Prec@5 83.500 (83.487)
Epoch: [70][8010/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.7346 (1.7025)	Prec@1 53.500 (54.522)	Prec@5 84.500 (83.488)
Epoch: [70][8020/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.9242 (1.7026)	Prec@1 51.500 (54.522)	Prec@5 79.500 (83.487)
Epoch: [70][8030/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.8982 (1.7027)	Prec@1 51.500 (54.520)	Prec@5 78.500 (83.485)
Epoch: [70][8040/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.6100 (1.7028)	Prec@1 57.000 (54.518)	Prec@5 84.000 (83.484)
Epoch: [70][8050/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.7111 (1.7028)	Prec@1 50.000 (54.517)	Prec@5 84.500 (83.483)
Epoch: [70][8060/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.7791 (1.7029)	Prec@1 54.000 (54.515)	Prec@5 80.500 (83.481)
Epoch: [70][8070/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.8443 (1.7028)	Prec@1 51.500 (54.515)	Prec@5 82.000 (83.482)
Epoch: [70][8080/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.5961 (1.7028)	Prec@1 59.000 (54.516)	Prec@5 85.000 (83.482)
Epoch: [70][8090/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.6924 (1.7028)	Prec@1 57.500 (54.517)	Prec@5 82.500 (83.482)
Epoch: [70][8100/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.5706 (1.7027)	Prec@1 60.500 (54.520)	Prec@5 82.000 (83.483)
Epoch: [70][8110/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.6067 (1.7027)	Prec@1 59.500 (54.521)	Prec@5 86.000 (83.483)
Epoch: [70][8120/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.6698 (1.7027)	Prec@1 52.500 (54.520)	Prec@5 86.000 (83.483)
Epoch: [70][8130/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.4794 (1.7026)	Prec@1 57.500 (54.521)	Prec@5 85.000 (83.483)
Epoch: [70][8140/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.6358 (1.7026)	Prec@1 56.500 (54.522)	Prec@5 86.000 (83.484)
Epoch: [70][8150/9018]	Time 0.622 (0.622)	Data 0.017 (0.003)	Loss 1.6846 (1.7027)	Prec@1 55.500 (54.520)	Prec@5 81.000 (83.484)
Epoch: [70][8160/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.6236 (1.7026)	Prec@1 55.500 (54.522)	Prec@5 84.500 (83.485)
Epoch: [70][8170/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.6804 (1.7026)	Prec@1 54.000 (54.522)	Prec@5 84.500 (83.485)
Epoch: [70][8180/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.9203 (1.7027)	Prec@1 49.500 (54.520)	Prec@5 80.500 (83.484)
Epoch: [70][8190/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.7819 (1.7028)	Prec@1 53.500 (54.518)	Prec@5 82.500 (83.484)
Epoch: [70][8200/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.7757 (1.7028)	Prec@1 52.000 (54.518)	Prec@5 82.000 (83.483)
Epoch: [70][8210/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7991 (1.7028)	Prec@1 52.000 (54.518)	Prec@5 84.000 (83.482)
Epoch: [70][8220/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.9264 (1.7029)	Prec@1 48.500 (54.517)	Prec@5 77.000 (83.481)
Epoch: [70][8230/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.9076 (1.7028)	Prec@1 54.000 (54.519)	Prec@5 80.000 (83.481)
Epoch: [70][8240/9018]	Time 0.757 (0.622)	Data 0.001 (0.003)	Loss 1.6370 (1.7029)	Prec@1 55.500 (54.518)	Prec@5 85.000 (83.481)
Epoch: [70][8250/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6684 (1.7029)	Prec@1 56.000 (54.518)	Prec@5 85.500 (83.481)
Epoch: [70][8260/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.5377 (1.7028)	Prec@1 57.500 (54.520)	Prec@5 86.000 (83.482)
Epoch: [70][8270/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.9058 (1.7029)	Prec@1 49.500 (54.519)	Prec@5 78.000 (83.482)
Epoch: [70][8280/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.7294 (1.7028)	Prec@1 54.000 (54.521)	Prec@5 83.500 (83.482)
Epoch: [70][8290/9018]	Time 0.779 (0.622)	Data 0.001 (0.003)	Loss 1.5680 (1.7028)	Prec@1 59.000 (54.522)	Prec@5 85.000 (83.481)
Epoch: [70][8300/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.6431 (1.7028)	Prec@1 56.000 (54.523)	Prec@5 86.000 (83.481)
Epoch: [70][8310/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7788 (1.7028)	Prec@1 52.500 (54.522)	Prec@5 81.000 (83.482)
Epoch: [70][8320/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.9532 (1.7029)	Prec@1 49.000 (54.521)	Prec@5 78.500 (83.482)
Epoch: [70][8330/9018]	Time 0.642 (0.622)	Data 0.001 (0.003)	Loss 1.6239 (1.7028)	Prec@1 56.000 (54.521)	Prec@5 84.500 (83.483)
Epoch: [70][8340/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6453 (1.7029)	Prec@1 56.500 (54.520)	Prec@5 83.000 (83.481)
Epoch: [70][8350/9018]	Time 0.587 (0.622)	Data 0.001 (0.003)	Loss 1.6405 (1.7029)	Prec@1 55.500 (54.518)	Prec@5 84.500 (83.480)
Epoch: [70][8360/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8537 (1.7030)	Prec@1 53.500 (54.519)	Prec@5 79.500 (83.480)
Epoch: [70][8370/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7821 (1.7029)	Prec@1 54.500 (54.521)	Prec@5 81.500 (83.481)
Epoch: [70][8380/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.5346 (1.7030)	Prec@1 56.000 (54.520)	Prec@5 85.000 (83.479)
Epoch: [70][8390/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 2.0094 (1.7029)	Prec@1 45.500 (54.522)	Prec@5 78.500 (83.480)
Epoch: [70][8400/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.6025 (1.7028)	Prec@1 55.500 (54.523)	Prec@5 88.000 (83.481)
Epoch: [70][8410/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7731 (1.7029)	Prec@1 55.500 (54.520)	Prec@5 80.000 (83.480)
Epoch: [70][8420/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7379 (1.7029)	Prec@1 55.500 (54.522)	Prec@5 82.500 (83.480)
Epoch: [70][8430/9018]	Time 0.614 (0.622)	Data 0.005 (0.003)	Loss 1.6259 (1.7029)	Prec@1 56.000 (54.523)	Prec@5 84.000 (83.479)
Epoch: [70][8440/9018]	Time 0.647 (0.622)	Data 0.001 (0.003)	Loss 1.6197 (1.7029)	Prec@1 53.500 (54.522)	Prec@5 84.500 (83.479)
Epoch: [70][8450/9018]	Time 0.618 (0.622)	Data 0.006 (0.003)	Loss 1.6763 (1.7029)	Prec@1 54.000 (54.520)	Prec@5 84.500 (83.480)
Epoch: [70][8460/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.5721 (1.7029)	Prec@1 59.000 (54.519)	Prec@5 84.000 (83.479)
Epoch: [70][8470/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.9099 (1.7030)	Prec@1 50.500 (54.517)	Prec@5 79.500 (83.476)
Epoch: [70][8480/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.5498 (1.7030)	Prec@1 55.000 (54.516)	Prec@5 84.500 (83.475)
Epoch: [70][8490/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.7203 (1.7030)	Prec@1 49.500 (54.515)	Prec@5 84.000 (83.475)
Epoch: [70][8500/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.8596 (1.7031)	Prec@1 51.000 (54.513)	Prec@5 79.000 (83.473)
Epoch: [70][8510/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7230 (1.7032)	Prec@1 53.500 (54.511)	Prec@5 81.500 (83.472)
Epoch: [70][8520/9018]	Time 0.608 (0.622)	Data 0.016 (0.003)	Loss 1.9571 (1.7032)	Prec@1 48.000 (54.509)	Prec@5 79.500 (83.472)
Epoch: [70][8530/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7066 (1.7033)	Prec@1 58.000 (54.510)	Prec@5 83.500 (83.472)
Epoch: [70][8540/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.6982 (1.7032)	Prec@1 54.500 (54.509)	Prec@5 83.500 (83.473)
Epoch: [70][8550/9018]	Time 0.601 (0.622)	Data 0.012 (0.003)	Loss 1.6381 (1.7032)	Prec@1 59.000 (54.509)	Prec@5 82.000 (83.472)
Epoch: [70][8560/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.8449 (1.7033)	Prec@1 54.500 (54.508)	Prec@5 79.500 (83.471)
Epoch: [70][8570/9018]	Time 0.708 (0.622)	Data 0.001 (0.003)	Loss 1.8315 (1.7033)	Prec@1 53.000 (54.509)	Prec@5 83.500 (83.472)
Epoch: [70][8580/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.7820 (1.7032)	Prec@1 51.500 (54.509)	Prec@5 82.000 (83.472)
Epoch: [70][8590/9018]	Time 0.613 (0.622)	Data 0.004 (0.003)	Loss 1.7917 (1.7032)	Prec@1 49.500 (54.508)	Prec@5 80.000 (83.472)
Epoch: [70][8600/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6908 (1.7032)	Prec@1 54.500 (54.508)	Prec@5 83.500 (83.472)
Epoch: [70][8610/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.5827 (1.7033)	Prec@1 50.000 (54.507)	Prec@5 88.000 (83.472)
Epoch: [70][8620/9018]	Time 0.747 (0.622)	Data 0.001 (0.003)	Loss 1.5240 (1.7033)	Prec@1 62.000 (54.507)	Prec@5 85.000 (83.472)
Epoch: [70][8630/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.7578 (1.7032)	Prec@1 55.000 (54.509)	Prec@5 82.000 (83.473)
Epoch: [70][8640/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.6887 (1.7032)	Prec@1 56.500 (54.508)	Prec@5 84.500 (83.474)
Epoch: [70][8650/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.8265 (1.7032)	Prec@1 49.500 (54.507)	Prec@5 81.500 (83.474)
Epoch: [70][8660/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.8274 (1.7033)	Prec@1 47.500 (54.506)	Prec@5 83.500 (83.473)
Epoch: [70][8670/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.5456 (1.7032)	Prec@1 64.000 (54.507)	Prec@5 84.000 (83.473)
Epoch: [70][8680/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8515 (1.7033)	Prec@1 49.500 (54.504)	Prec@5 84.000 (83.471)
Epoch: [70][8690/9018]	Time 0.627 (0.622)	Data 0.006 (0.003)	Loss 1.7785 (1.7033)	Prec@1 55.000 (54.505)	Prec@5 79.500 (83.471)
Epoch: [70][8700/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.9697 (1.7033)	Prec@1 50.500 (54.505)	Prec@5 81.000 (83.471)
Epoch: [70][8710/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.9260 (1.7034)	Prec@1 48.500 (54.504)	Prec@5 80.500 (83.469)
Epoch: [70][8720/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.7374 (1.7034)	Prec@1 49.000 (54.503)	Prec@5 84.500 (83.470)
Epoch: [70][8730/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.8362 (1.7035)	Prec@1 49.000 (54.501)	Prec@5 83.000 (83.469)
Epoch: [70][8740/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7193 (1.7035)	Prec@1 56.500 (54.501)	Prec@5 82.500 (83.468)
Epoch: [70][8750/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.7789 (1.7037)	Prec@1 57.500 (54.499)	Prec@5 82.500 (83.466)
Epoch: [70][8760/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7355 (1.7035)	Prec@1 56.500 (54.502)	Prec@5 81.500 (83.468)
Epoch: [70][8770/9018]	Time 0.656 (0.622)	Data 0.001 (0.003)	Loss 1.7664 (1.7035)	Prec@1 54.000 (54.503)	Prec@5 82.000 (83.469)
Epoch: [70][8780/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.7522 (1.7036)	Prec@1 55.000 (54.503)	Prec@5 85.000 (83.467)
Epoch: [70][8790/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.6042 (1.7036)	Prec@1 51.500 (54.503)	Prec@5 86.000 (83.467)
Epoch: [70][8800/9018]	Time 0.594 (0.622)	Data 0.005 (0.003)	Loss 1.6924 (1.7036)	Prec@1 54.500 (54.501)	Prec@5 85.500 (83.467)
Epoch: [70][8810/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.6125 (1.7036)	Prec@1 56.000 (54.500)	Prec@5 84.500 (83.466)
Epoch: [70][8820/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.6981 (1.7037)	Prec@1 54.500 (54.499)	Prec@5 87.000 (83.465)
Epoch: [70][8830/9018]	Time 0.604 (0.622)	Data 0.017 (0.003)	Loss 1.5484 (1.7038)	Prec@1 61.000 (54.497)	Prec@5 85.000 (83.464)
Epoch: [70][8840/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.7744 (1.7039)	Prec@1 53.000 (54.495)	Prec@5 83.500 (83.464)
Epoch: [70][8850/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.6089 (1.7039)	Prec@1 55.000 (54.495)	Prec@5 84.000 (83.464)
Epoch: [70][8860/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.8351 (1.7039)	Prec@1 53.000 (54.493)	Prec@5 81.500 (83.462)
Epoch: [70][8870/9018]	Time 0.638 (0.622)	Data 0.001 (0.003)	Loss 1.8568 (1.7039)	Prec@1 51.000 (54.493)	Prec@5 83.000 (83.462)
Epoch: [70][8880/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.6309 (1.7039)	Prec@1 51.500 (54.492)	Prec@5 89.500 (83.462)
Epoch: [70][8890/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.8580 (1.7038)	Prec@1 51.000 (54.493)	Prec@5 82.000 (83.463)
Epoch: [70][8900/9018]	Time 0.772 (0.622)	Data 0.001 (0.003)	Loss 2.0028 (1.7038)	Prec@1 46.000 (54.492)	Prec@5 76.500 (83.464)
Epoch: [70][8910/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.9821 (1.7039)	Prec@1 49.500 (54.491)	Prec@5 83.500 (83.463)
Epoch: [70][8920/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.6696 (1.7040)	Prec@1 57.000 (54.491)	Prec@5 84.000 (83.462)
Epoch: [70][8930/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.7937 (1.7040)	Prec@1 48.500 (54.490)	Prec@5 82.500 (83.460)
Epoch: [70][8940/9018]	Time 0.627 (0.622)	Data 0.005 (0.003)	Loss 1.9233 (1.7041)	Prec@1 50.500 (54.487)	Prec@5 80.500 (83.457)
Epoch: [70][8950/9018]	Time 0.789 (0.622)	Data 0.001 (0.003)	Loss 1.8534 (1.7041)	Prec@1 54.500 (54.489)	Prec@5 79.000 (83.457)
Epoch: [70][8960/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.6861 (1.7041)	Prec@1 54.000 (54.487)	Prec@5 84.500 (83.457)
Epoch: [70][8970/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.7616 (1.7042)	Prec@1 51.500 (54.485)	Prec@5 82.000 (83.457)
Epoch: [70][8980/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7785 (1.7042)	Prec@1 49.500 (54.484)	Prec@5 83.500 (83.458)
Epoch: [70][8990/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.5226 (1.7042)	Prec@1 59.500 (54.484)	Prec@5 86.500 (83.458)
Epoch: [70][9000/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.5835 (1.7042)	Prec@1 54.000 (54.484)	Prec@5 87.500 (83.458)
Epoch: [70][9010/9018]	Time 0.608 (0.622)	Data 0.000 (0.003)	Loss 1.7972 (1.7042)	Prec@1 55.000 (54.485)	Prec@5 80.000 (83.458)
Test: [0/183]	Time 3.027 (3.027)	Loss 2.3674 (2.3674)	Prec@1 38.500 (38.500)	Prec@5 73.500 (73.500)
Test: [10/183]	Time 0.178 (0.489)	Loss 1.6111 (1.5893)	Prec@1 61.000 (57.909)	Prec@5 84.000 (86.636)
Test: [20/183]	Time 0.181 (0.361)	Loss 1.9359 (1.5548)	Prec@1 46.500 (58.000)	Prec@5 83.000 (86.976)
Test: [30/183]	Time 0.211 (0.314)	Loss 2.1941 (1.5765)	Prec@1 30.500 (56.806)	Prec@5 79.000 (86.774)
Test: [40/183]	Time 0.206 (0.289)	Loss 2.3256 (1.5943)	Prec@1 37.000 (56.927)	Prec@5 80.500 (85.976)
Test: [50/183]	Time 0.188 (0.273)	Loss 1.5318 (1.5734)	Prec@1 55.000 (57.451)	Prec@5 88.000 (86.186)
Test: [60/183]	Time 0.210 (0.260)	Loss 2.0114 (1.6409)	Prec@1 47.500 (55.311)	Prec@5 78.500 (85.344)
Test: [70/183]	Time 0.237 (0.253)	Loss 1.6257 (1.6264)	Prec@1 50.500 (55.472)	Prec@5 85.500 (85.662)
Test: [80/183]	Time 0.194 (0.247)	Loss 1.3387 (1.6146)	Prec@1 60.000 (55.562)	Prec@5 93.500 (85.815)
Test: [90/183]	Time 0.181 (0.242)	Loss 2.2686 (1.6146)	Prec@1 39.500 (55.582)	Prec@5 72.500 (85.736)
Test: [100/183]	Time 0.233 (0.239)	Loss 0.7139 (1.6150)	Prec@1 79.500 (55.559)	Prec@5 95.000 (85.748)
Test: [110/183]	Time 0.205 (0.236)	Loss 0.6838 (1.6187)	Prec@1 83.000 (55.536)	Prec@5 96.000 (85.734)
Test: [120/183]	Time 0.208 (0.233)	Loss 2.1322 (1.6265)	Prec@1 41.500 (55.252)	Prec@5 73.000 (85.661)
Test: [130/183]	Time 0.200 (0.231)	Loss 2.8234 (1.6339)	Prec@1 21.500 (54.962)	Prec@5 76.500 (85.748)
Test: [140/183]	Time 0.205 (0.230)	Loss 1.5319 (1.6242)	Prec@1 60.500 (55.280)	Prec@5 88.000 (85.894)
Test: [150/183]	Time 0.204 (0.228)	Loss 0.6072 (1.6226)	Prec@1 82.500 (55.404)	Prec@5 97.500 (85.887)
Test: [160/183]	Time 0.189 (0.227)	Loss 1.6129 (1.6187)	Prec@1 54.000 (55.640)	Prec@5 86.500 (85.929)
Test: [170/183]	Time 0.222 (0.226)	Loss 2.0245 (1.6342)	Prec@1 39.500 (55.225)	Prec@5 85.000 (85.731)
Test: [180/183]	Time 0.297 (0.225)	Loss 1.9195 (1.6399)	Prec@1 47.500 (55.180)	Prec@5 83.500 (85.610)
 * Prec@1 55.170 Prec@5 85.603
Epoch: [71][0/9018]	Time 3.586 (3.586)	Data 2.953 (2.953)	Loss 1.7261 (1.7261)	Prec@1 58.000 (58.000)	Prec@5 84.000 (84.000)
Epoch: [71][10/9018]	Time 0.606 (0.882)	Data 0.001 (0.269)	Loss 1.5873 (1.6604)	Prec@1 55.500 (56.273)	Prec@5 87.500 (83.682)
Epoch: [71][20/9018]	Time 0.615 (0.765)	Data 0.001 (0.142)	Loss 1.7716 (1.7098)	Prec@1 53.500 (55.167)	Prec@5 81.500 (83.262)
Epoch: [71][30/9018]	Time 0.771 (0.721)	Data 0.001 (0.097)	Loss 1.6735 (1.7030)	Prec@1 54.000 (54.645)	Prec@5 82.500 (83.613)
Epoch: [71][40/9018]	Time 0.630 (0.695)	Data 0.001 (0.075)	Loss 1.4397 (1.7006)	Prec@1 62.000 (54.549)	Prec@5 86.000 (83.585)
Epoch: [71][50/9018]	Time 0.611 (0.681)	Data 0.001 (0.061)	Loss 1.6007 (1.6883)	Prec@1 59.000 (55.049)	Prec@5 87.000 (83.853)
Epoch: [71][60/9018]	Time 0.615 (0.669)	Data 0.001 (0.051)	Loss 1.7721 (1.6876)	Prec@1 52.500 (55.090)	Prec@5 81.500 (83.828)
Epoch: [71][70/9018]	Time 0.607 (0.662)	Data 0.001 (0.044)	Loss 1.8308 (1.6919)	Prec@1 48.500 (54.655)	Prec@5 81.500 (83.824)
Epoch: [71][80/9018]	Time 0.617 (0.659)	Data 0.001 (0.039)	Loss 1.8369 (1.6878)	Prec@1 52.500 (54.716)	Prec@5 80.000 (83.870)
Epoch: [71][90/9018]	Time 0.599 (0.653)	Data 0.001 (0.035)	Loss 1.5859 (1.6853)	Prec@1 54.000 (54.709)	Prec@5 86.500 (83.846)
Epoch: [71][100/9018]	Time 0.624 (0.650)	Data 0.001 (0.032)	Loss 1.7222 (1.6839)	Prec@1 52.500 (54.698)	Prec@5 82.500 (83.743)
Epoch: [71][110/9018]	Time 0.604 (0.646)	Data 0.001 (0.029)	Loss 1.6492 (1.6847)	Prec@1 58.500 (54.779)	Prec@5 87.000 (83.761)
Epoch: [71][120/9018]	Time 0.597 (0.645)	Data 0.001 (0.027)	Loss 1.7061 (1.6887)	Prec@1 56.500 (54.583)	Prec@5 83.000 (83.715)
Epoch: [71][130/9018]	Time 0.623 (0.644)	Data 0.001 (0.025)	Loss 1.7987 (1.6851)	Prec@1 50.000 (54.580)	Prec@5 83.000 (83.767)
Epoch: [71][140/9018]	Time 0.637 (0.641)	Data 0.001 (0.023)	Loss 1.8435 (1.6837)	Prec@1 51.000 (54.578)	Prec@5 82.000 (83.752)
Epoch: [71][150/9018]	Time 0.615 (0.640)	Data 0.001 (0.022)	Loss 1.6390 (1.6847)	Prec@1 53.500 (54.632)	Prec@5 87.000 (83.695)
Epoch: [71][160/9018]	Time 0.605 (0.638)	Data 0.001 (0.021)	Loss 1.7554 (1.6877)	Prec@1 52.000 (54.556)	Prec@5 83.500 (83.668)
Epoch: [71][170/9018]	Time 0.627 (0.638)	Data 0.001 (0.020)	Loss 1.8199 (1.6924)	Prec@1 51.000 (54.450)	Prec@5 81.000 (83.608)
Epoch: [71][180/9018]	Time 0.630 (0.638)	Data 0.001 (0.019)	Loss 1.6990 (1.6930)	Prec@1 53.500 (54.401)	Prec@5 82.500 (83.605)
Epoch: [71][190/9018]	Time 0.600 (0.636)	Data 0.001 (0.018)	Loss 1.8400 (1.6945)	Prec@1 49.000 (54.419)	Prec@5 83.000 (83.589)
Epoch: [71][200/9018]	Time 0.632 (0.636)	Data 0.001 (0.017)	Loss 1.8245 (1.6934)	Prec@1 52.000 (54.493)	Prec@5 85.500 (83.614)
Epoch: [71][210/9018]	Time 0.592 (0.635)	Data 0.001 (0.017)	Loss 1.6558 (1.6923)	Prec@1 56.000 (54.543)	Prec@5 82.000 (83.578)
Epoch: [71][220/9018]	Time 0.601 (0.634)	Data 0.001 (0.016)	Loss 1.5626 (1.6916)	Prec@1 60.500 (54.561)	Prec@5 84.500 (83.590)
Epoch: [71][230/9018]	Time 0.614 (0.634)	Data 0.001 (0.015)	Loss 1.8014 (1.6913)	Prec@1 55.000 (54.595)	Prec@5 79.000 (83.582)
Epoch: [71][240/9018]	Time 0.601 (0.633)	Data 0.001 (0.015)	Loss 1.5640 (1.6899)	Prec@1 55.500 (54.618)	Prec@5 87.500 (83.604)
Epoch: [71][250/9018]	Time 0.596 (0.633)	Data 0.007 (0.015)	Loss 1.4916 (1.6866)	Prec@1 58.000 (54.711)	Prec@5 87.000 (83.624)
Epoch: [71][260/9018]	Time 0.594 (0.632)	Data 0.001 (0.014)	Loss 1.6345 (1.6869)	Prec@1 53.000 (54.739)	Prec@5 86.500 (83.600)
Epoch: [71][270/9018]	Time 0.587 (0.631)	Data 0.001 (0.014)	Loss 1.7809 (1.6878)	Prec@1 50.500 (54.753)	Prec@5 81.500 (83.574)
Epoch: [71][280/9018]	Time 0.612 (0.632)	Data 0.016 (0.013)	Loss 1.8279 (1.6888)	Prec@1 52.000 (54.735)	Prec@5 80.500 (83.573)
Epoch: [71][290/9018]	Time 0.612 (0.631)	Data 0.001 (0.013)	Loss 1.7975 (1.6907)	Prec@1 50.500 (54.662)	Prec@5 83.000 (83.572)
Epoch: [71][300/9018]	Time 0.605 (0.631)	Data 0.001 (0.012)	Loss 1.6482 (1.6890)	Prec@1 57.000 (54.689)	Prec@5 82.500 (83.600)
Epoch: [71][310/9018]	Time 0.749 (0.630)	Data 0.001 (0.012)	Loss 1.7445 (1.6896)	Prec@1 53.500 (54.719)	Prec@5 84.000 (83.568)
Epoch: [71][320/9018]	Time 0.608 (0.630)	Data 0.001 (0.012)	Loss 1.5209 (1.6892)	Prec@1 60.000 (54.727)	Prec@5 87.500 (83.573)
Epoch: [71][330/9018]	Time 0.619 (0.630)	Data 0.001 (0.012)	Loss 1.6320 (1.6881)	Prec@1 57.500 (54.779)	Prec@5 82.000 (83.571)
Epoch: [71][340/9018]	Time 0.595 (0.629)	Data 0.001 (0.011)	Loss 1.5930 (1.6892)	Prec@1 57.500 (54.743)	Prec@5 88.500 (83.553)
Epoch: [71][350/9018]	Time 0.612 (0.629)	Data 0.001 (0.011)	Loss 1.6151 (1.6900)	Prec@1 60.000 (54.718)	Prec@5 84.500 (83.546)
Epoch: [71][360/9018]	Time 0.828 (0.629)	Data 0.015 (0.011)	Loss 1.5889 (1.6906)	Prec@1 59.500 (54.704)	Prec@5 83.500 (83.521)
Epoch: [71][370/9018]	Time 0.587 (0.628)	Data 0.001 (0.011)	Loss 1.7119 (1.6905)	Prec@1 58.000 (54.708)	Prec@5 82.500 (83.526)
Epoch: [71][380/9018]	Time 0.599 (0.628)	Data 0.001 (0.011)	Loss 1.7240 (1.6920)	Prec@1 53.000 (54.702)	Prec@5 84.500 (83.510)
Epoch: [71][390/9018]	Time 0.625 (0.628)	Data 0.001 (0.010)	Loss 1.6484 (1.6905)	Prec@1 53.500 (54.735)	Prec@5 81.500 (83.496)
Epoch: [71][400/9018]	Time 0.607 (0.628)	Data 0.003 (0.010)	Loss 1.4348 (1.6912)	Prec@1 57.000 (54.727)	Prec@5 87.000 (83.495)
Epoch: [71][410/9018]	Time 0.613 (0.628)	Data 0.001 (0.010)	Loss 1.6692 (1.6900)	Prec@1 54.000 (54.760)	Prec@5 83.000 (83.512)
Epoch: [71][420/9018]	Time 0.607 (0.627)	Data 0.001 (0.010)	Loss 1.8705 (1.6907)	Prec@1 51.000 (54.726)	Prec@5 82.000 (83.508)
Epoch: [71][430/9018]	Time 0.610 (0.627)	Data 0.001 (0.010)	Loss 1.6424 (1.6906)	Prec@1 52.000 (54.709)	Prec@5 85.500 (83.506)
Epoch: [71][440/9018]	Time 0.598 (0.627)	Data 0.001 (0.009)	Loss 1.5336 (1.6905)	Prec@1 60.500 (54.719)	Prec@5 84.500 (83.501)
Epoch: [71][450/9018]	Time 0.639 (0.627)	Data 0.001 (0.009)	Loss 1.7837 (1.6900)	Prec@1 57.500 (54.736)	Prec@5 82.000 (83.522)
Epoch: [71][460/9018]	Time 0.611 (0.627)	Data 0.001 (0.009)	Loss 1.6999 (1.6905)	Prec@1 55.000 (54.738)	Prec@5 84.000 (83.503)
Epoch: [71][470/9018]	Time 0.618 (0.627)	Data 0.001 (0.009)	Loss 1.7088 (1.6916)	Prec@1 56.500 (54.719)	Prec@5 84.000 (83.505)
Epoch: [71][480/9018]	Time 0.600 (0.627)	Data 0.001 (0.009)	Loss 1.7177 (1.6908)	Prec@1 54.500 (54.738)	Prec@5 83.500 (83.506)
Epoch: [71][490/9018]	Time 0.618 (0.627)	Data 0.001 (0.009)	Loss 1.5790 (1.6903)	Prec@1 56.000 (54.742)	Prec@5 85.500 (83.523)
Epoch: [71][500/9018]	Time 0.604 (0.627)	Data 0.001 (0.009)	Loss 1.6414 (1.6896)	Prec@1 58.500 (54.765)	Prec@5 85.000 (83.536)
Epoch: [71][510/9018]	Time 0.594 (0.627)	Data 0.001 (0.008)	Loss 1.5408 (1.6890)	Prec@1 61.000 (54.770)	Prec@5 82.500 (83.545)
Epoch: [71][520/9018]	Time 0.613 (0.626)	Data 0.001 (0.008)	Loss 1.7196 (1.6884)	Prec@1 51.000 (54.777)	Prec@5 85.000 (83.558)
Epoch: [71][530/9018]	Time 0.610 (0.626)	Data 0.001 (0.008)	Loss 1.6304 (1.6874)	Prec@1 54.500 (54.813)	Prec@5 85.500 (83.595)
Epoch: [71][540/9018]	Time 0.599 (0.626)	Data 0.001 (0.008)	Loss 1.6407 (1.6870)	Prec@1 55.500 (54.829)	Prec@5 86.000 (83.619)
Epoch: [71][550/9018]	Time 0.599 (0.626)	Data 0.001 (0.008)	Loss 1.8618 (1.6870)	Prec@1 49.000 (54.835)	Prec@5 80.000 (83.610)
Epoch: [71][560/9018]	Time 0.607 (0.626)	Data 0.001 (0.008)	Loss 1.6918 (1.6878)	Prec@1 55.500 (54.835)	Prec@5 84.000 (83.586)
Epoch: [71][570/9018]	Time 0.617 (0.626)	Data 0.014 (0.008)	Loss 1.6981 (1.6892)	Prec@1 57.000 (54.821)	Prec@5 80.000 (83.558)
Epoch: [71][580/9018]	Time 0.617 (0.626)	Data 0.001 (0.008)	Loss 1.6552 (1.6908)	Prec@1 61.500 (54.775)	Prec@5 83.000 (83.536)
Epoch: [71][590/9018]	Time 0.593 (0.626)	Data 0.001 (0.008)	Loss 1.6945 (1.6904)	Prec@1 55.500 (54.758)	Prec@5 83.000 (83.549)
Epoch: [71][600/9018]	Time 0.609 (0.626)	Data 0.001 (0.008)	Loss 1.5518 (1.6896)	Prec@1 57.500 (54.804)	Prec@5 85.500 (83.546)
Epoch: [71][610/9018]	Time 0.618 (0.626)	Data 0.001 (0.008)	Loss 1.6048 (1.6891)	Prec@1 54.500 (54.809)	Prec@5 88.500 (83.569)
Epoch: [71][620/9018]	Time 0.618 (0.626)	Data 0.001 (0.008)	Loss 1.5981 (1.6890)	Prec@1 54.000 (54.800)	Prec@5 87.000 (83.569)
Epoch: [71][630/9018]	Time 0.592 (0.626)	Data 0.001 (0.008)	Loss 1.7401 (1.6890)	Prec@1 54.000 (54.815)	Prec@5 81.000 (83.559)
Epoch: [71][640/9018]	Time 0.800 (0.626)	Data 0.001 (0.007)	Loss 1.7668 (1.6898)	Prec@1 53.500 (54.793)	Prec@5 82.500 (83.541)
Epoch: [71][650/9018]	Time 0.619 (0.626)	Data 0.001 (0.007)	Loss 1.8348 (1.6893)	Prec@1 53.000 (54.816)	Prec@5 82.000 (83.539)
Epoch: [71][660/9018]	Time 0.597 (0.626)	Data 0.001 (0.007)	Loss 1.4971 (1.6894)	Prec@1 58.500 (54.831)	Prec@5 90.000 (83.539)
Epoch: [71][670/9018]	Time 0.627 (0.626)	Data 0.001 (0.007)	Loss 1.5698 (1.6890)	Prec@1 61.500 (54.855)	Prec@5 84.000 (83.531)
Epoch: [71][680/9018]	Time 0.604 (0.626)	Data 0.016 (0.007)	Loss 1.7816 (1.6898)	Prec@1 54.000 (54.841)	Prec@5 79.000 (83.517)
Epoch: [71][690/9018]	Time 0.768 (0.626)	Data 0.001 (0.007)	Loss 1.7725 (1.6899)	Prec@1 56.500 (54.846)	Prec@5 82.000 (83.528)
Epoch: [71][700/9018]	Time 0.608 (0.626)	Data 0.001 (0.007)	Loss 1.7413 (1.6885)	Prec@1 51.000 (54.849)	Prec@5 83.000 (83.564)
Epoch: [71][710/9018]	Time 0.618 (0.626)	Data 0.001 (0.007)	Loss 1.7608 (1.6885)	Prec@1 49.500 (54.840)	Prec@5 82.500 (83.559)
Epoch: [71][720/9018]	Time 0.610 (0.626)	Data 0.001 (0.007)	Loss 1.6013 (1.6881)	Prec@1 53.500 (54.825)	Prec@5 86.000 (83.577)
Epoch: [71][730/9018]	Time 0.592 (0.626)	Data 0.001 (0.007)	Loss 1.7000 (1.6886)	Prec@1 55.000 (54.789)	Prec@5 84.000 (83.574)
Epoch: [71][740/9018]	Time 0.604 (0.625)	Data 0.001 (0.007)	Loss 1.6483 (1.6890)	Prec@1 57.500 (54.794)	Prec@5 82.000 (83.554)
Epoch: [71][750/9018]	Time 0.595 (0.625)	Data 0.001 (0.007)	Loss 1.5971 (1.6888)	Prec@1 57.000 (54.794)	Prec@5 86.000 (83.575)
Epoch: [71][760/9018]	Time 0.611 (0.625)	Data 0.001 (0.007)	Loss 1.7700 (1.6890)	Prec@1 55.500 (54.801)	Prec@5 80.500 (83.555)
Epoch: [71][770/9018]	Time 0.625 (0.625)	Data 0.001 (0.007)	Loss 1.4906 (1.6881)	Prec@1 58.500 (54.831)	Prec@5 88.500 (83.572)
Epoch: [71][780/9018]	Time 0.592 (0.625)	Data 0.001 (0.007)	Loss 1.7125 (1.6883)	Prec@1 54.500 (54.827)	Prec@5 80.500 (83.571)
Epoch: [71][790/9018]	Time 0.658 (0.625)	Data 0.001 (0.007)	Loss 1.8662 (1.6889)	Prec@1 53.000 (54.815)	Prec@5 81.000 (83.566)
Epoch: [71][800/9018]	Time 0.606 (0.625)	Data 0.001 (0.007)	Loss 1.7137 (1.6891)	Prec@1 52.500 (54.807)	Prec@5 81.500 (83.556)
Epoch: [71][810/9018]	Time 0.605 (0.625)	Data 0.001 (0.007)	Loss 1.6608 (1.6891)	Prec@1 58.500 (54.806)	Prec@5 85.000 (83.562)
Epoch: [71][820/9018]	Time 0.596 (0.625)	Data 0.001 (0.006)	Loss 1.6152 (1.6894)	Prec@1 58.500 (54.797)	Prec@5 85.000 (83.558)
Epoch: [71][830/9018]	Time 0.588 (0.625)	Data 0.001 (0.006)	Loss 1.8703 (1.6907)	Prec@1 51.500 (54.776)	Prec@5 80.000 (83.536)
Epoch: [71][840/9018]	Time 0.590 (0.625)	Data 0.001 (0.006)	Loss 1.7260 (1.6910)	Prec@1 52.000 (54.775)	Prec@5 82.500 (83.521)
Epoch: [71][850/9018]	Time 0.598 (0.625)	Data 0.013 (0.006)	Loss 1.7107 (1.6914)	Prec@1 53.500 (54.768)	Prec@5 82.500 (83.522)
Epoch: [71][860/9018]	Time 0.619 (0.625)	Data 0.001 (0.006)	Loss 1.7202 (1.6918)	Prec@1 56.500 (54.757)	Prec@5 82.000 (83.509)
Epoch: [71][870/9018]	Time 0.610 (0.624)	Data 0.016 (0.006)	Loss 1.8495 (1.6920)	Prec@1 55.000 (54.751)	Prec@5 80.000 (83.498)
Epoch: [71][880/9018]	Time 0.609 (0.624)	Data 0.001 (0.006)	Loss 1.9549 (1.6919)	Prec@1 49.500 (54.747)	Prec@5 77.500 (83.497)
Epoch: [71][890/9018]	Time 0.607 (0.624)	Data 0.022 (0.006)	Loss 1.7069 (1.6917)	Prec@1 56.000 (54.756)	Prec@5 84.000 (83.513)
Epoch: [71][900/9018]	Time 0.616 (0.624)	Data 0.001 (0.006)	Loss 1.4785 (1.6914)	Prec@1 59.500 (54.758)	Prec@5 86.000 (83.523)
Epoch: [71][910/9018]	Time 0.610 (0.624)	Data 0.001 (0.006)	Loss 1.7556 (1.6906)	Prec@1 55.500 (54.778)	Prec@5 80.500 (83.535)
Epoch: [71][920/9018]	Time 0.611 (0.624)	Data 0.001 (0.006)	Loss 1.7378 (1.6900)	Prec@1 54.000 (54.780)	Prec@5 82.000 (83.544)
Epoch: [71][930/9018]	Time 0.593 (0.624)	Data 0.001 (0.006)	Loss 1.8290 (1.6902)	Prec@1 51.000 (54.767)	Prec@5 83.000 (83.554)
Epoch: [71][940/9018]	Time 0.593 (0.624)	Data 0.017 (0.006)	Loss 1.6185 (1.6900)	Prec@1 56.000 (54.769)	Prec@5 82.000 (83.558)
Epoch: [71][950/9018]	Time 0.623 (0.624)	Data 0.016 (0.006)	Loss 1.5397 (1.6896)	Prec@1 54.000 (54.762)	Prec@5 86.000 (83.569)
Epoch: [71][960/9018]	Time 0.594 (0.624)	Data 0.001 (0.006)	Loss 1.7263 (1.6892)	Prec@1 53.000 (54.760)	Prec@5 82.000 (83.577)
Epoch: [71][970/9018]	Time 0.766 (0.624)	Data 0.001 (0.006)	Loss 1.7132 (1.6898)	Prec@1 52.500 (54.745)	Prec@5 80.500 (83.564)
Epoch: [71][980/9018]	Time 0.600 (0.624)	Data 0.001 (0.006)	Loss 1.8399 (1.6909)	Prec@1 54.500 (54.735)	Prec@5 80.000 (83.543)
Epoch: [71][990/9018]	Time 0.619 (0.624)	Data 0.006 (0.006)	Loss 1.7738 (1.6912)	Prec@1 52.500 (54.720)	Prec@5 81.500 (83.537)
Epoch: [71][1000/9018]	Time 0.603 (0.624)	Data 0.001 (0.006)	Loss 1.5777 (1.6912)	Prec@1 53.000 (54.721)	Prec@5 87.000 (83.534)
Epoch: [71][1010/9018]	Time 0.603 (0.624)	Data 0.017 (0.006)	Loss 1.8628 (1.6912)	Prec@1 51.000 (54.722)	Prec@5 80.000 (83.544)
Epoch: [71][1020/9018]	Time 0.729 (0.624)	Data 0.001 (0.006)	Loss 1.6989 (1.6911)	Prec@1 56.500 (54.720)	Prec@5 83.500 (83.554)
Epoch: [71][1030/9018]	Time 0.611 (0.624)	Data 0.001 (0.006)	Loss 1.5538 (1.6906)	Prec@1 58.000 (54.729)	Prec@5 83.000 (83.568)
Epoch: [71][1040/9018]	Time 0.625 (0.624)	Data 0.001 (0.006)	Loss 1.7150 (1.6907)	Prec@1 55.000 (54.715)	Prec@5 82.000 (83.560)
Epoch: [71][1050/9018]	Time 0.614 (0.624)	Data 0.001 (0.006)	Loss 1.6835 (1.6907)	Prec@1 53.000 (54.718)	Prec@5 84.500 (83.555)
Epoch: [71][1060/9018]	Time 0.636 (0.624)	Data 0.014 (0.006)	Loss 1.6941 (1.6905)	Prec@1 54.000 (54.719)	Prec@5 82.000 (83.556)
Epoch: [71][1070/9018]	Time 0.632 (0.624)	Data 0.001 (0.006)	Loss 1.6248 (1.6903)	Prec@1 54.500 (54.735)	Prec@5 85.500 (83.559)
Epoch: [71][1080/9018]	Time 0.613 (0.624)	Data 0.018 (0.006)	Loss 1.7919 (1.6906)	Prec@1 54.500 (54.728)	Prec@5 82.000 (83.553)
Epoch: [71][1090/9018]	Time 0.627 (0.624)	Data 0.001 (0.006)	Loss 1.9088 (1.6905)	Prec@1 50.500 (54.731)	Prec@5 77.500 (83.551)
Epoch: [71][1100/9018]	Time 0.620 (0.623)	Data 0.001 (0.006)	Loss 1.6118 (1.6908)	Prec@1 56.500 (54.726)	Prec@5 83.500 (83.545)
Epoch: [71][1110/9018]	Time 0.644 (0.623)	Data 0.001 (0.005)	Loss 1.6757 (1.6907)	Prec@1 51.500 (54.728)	Prec@5 85.000 (83.551)
Epoch: [71][1120/9018]	Time 0.626 (0.624)	Data 0.001 (0.005)	Loss 1.8252 (1.6909)	Prec@1 51.500 (54.733)	Prec@5 77.000 (83.536)
Epoch: [71][1130/9018]	Time 0.622 (0.623)	Data 0.001 (0.005)	Loss 1.7614 (1.6910)	Prec@1 53.000 (54.729)	Prec@5 82.000 (83.532)
Epoch: [71][1140/9018]	Time 0.625 (0.623)	Data 0.001 (0.005)	Loss 1.5883 (1.6911)	Prec@1 59.000 (54.727)	Prec@5 83.500 (83.524)
Epoch: [71][1150/9018]	Time 0.599 (0.623)	Data 0.001 (0.005)	Loss 1.7308 (1.6913)	Prec@1 53.000 (54.730)	Prec@5 82.000 (83.518)
Epoch: [71][1160/9018]	Time 0.592 (0.623)	Data 0.001 (0.005)	Loss 1.6122 (1.6911)	Prec@1 57.000 (54.740)	Prec@5 86.000 (83.527)
Epoch: [71][1170/9018]	Time 0.598 (0.623)	Data 0.001 (0.005)	Loss 1.6402 (1.6913)	Prec@1 55.500 (54.743)	Prec@5 83.500 (83.525)
Epoch: [71][1180/9018]	Time 0.616 (0.623)	Data 0.001 (0.005)	Loss 1.6435 (1.6915)	Prec@1 51.000 (54.734)	Prec@5 82.000 (83.520)
Epoch: [71][1190/9018]	Time 0.597 (0.623)	Data 0.016 (0.005)	Loss 1.6154 (1.6916)	Prec@1 55.000 (54.736)	Prec@5 84.500 (83.523)
Epoch: [71][1200/9018]	Time 0.630 (0.623)	Data 0.001 (0.005)	Loss 1.7316 (1.6921)	Prec@1 54.500 (54.723)	Prec@5 84.000 (83.520)
Epoch: [71][1210/9018]	Time 0.592 (0.623)	Data 0.001 (0.005)	Loss 1.7138 (1.6922)	Prec@1 55.500 (54.718)	Prec@5 81.000 (83.522)
Epoch: [71][1220/9018]	Time 0.605 (0.623)	Data 0.001 (0.005)	Loss 1.7199 (1.6918)	Prec@1 51.500 (54.712)	Prec@5 82.000 (83.533)
Epoch: [71][1230/9018]	Time 0.603 (0.623)	Data 0.001 (0.005)	Loss 1.5468 (1.6921)	Prec@1 61.000 (54.712)	Prec@5 84.500 (83.528)
Epoch: [71][1240/9018]	Time 0.616 (0.623)	Data 0.013 (0.005)	Loss 1.8820 (1.6928)	Prec@1 53.500 (54.700)	Prec@5 80.000 (83.514)
Epoch: [71][1250/9018]	Time 0.620 (0.623)	Data 0.013 (0.005)	Loss 1.6280 (1.6929)	Prec@1 56.000 (54.705)	Prec@5 86.000 (83.510)
Epoch: [71][1260/9018]	Time 0.622 (0.623)	Data 0.001 (0.005)	Loss 1.7635 (1.6935)	Prec@1 52.000 (54.701)	Prec@5 85.500 (83.502)
Epoch: [71][1270/9018]	Time 0.619 (0.623)	Data 0.001 (0.005)	Loss 1.5447 (1.6930)	Prec@1 58.500 (54.714)	Prec@5 85.000 (83.508)
Epoch: [71][1280/9018]	Time 0.609 (0.623)	Data 0.001 (0.005)	Loss 1.6781 (1.6928)	Prec@1 55.000 (54.715)	Prec@5 86.000 (83.512)
Epoch: [71][1290/9018]	Time 0.595 (0.623)	Data 0.001 (0.005)	Loss 1.5683 (1.6926)	Prec@1 59.000 (54.735)	Prec@5 86.000 (83.515)
Epoch: [71][1300/9018]	Time 0.759 (0.623)	Data 0.001 (0.005)	Loss 1.6250 (1.6925)	Prec@1 58.500 (54.749)	Prec@5 84.000 (83.515)
Epoch: [71][1310/9018]	Time 0.615 (0.623)	Data 0.022 (0.005)	Loss 1.6948 (1.6925)	Prec@1 55.000 (54.747)	Prec@5 85.500 (83.517)
Epoch: [71][1320/9018]	Time 0.613 (0.623)	Data 0.001 (0.005)	Loss 1.6382 (1.6925)	Prec@1 58.000 (54.739)	Prec@5 83.500 (83.522)
Epoch: [71][1330/9018]	Time 0.632 (0.623)	Data 0.001 (0.005)	Loss 1.6529 (1.6924)	Prec@1 59.000 (54.745)	Prec@5 82.500 (83.528)
Epoch: [71][1340/9018]	Time 0.631 (0.623)	Data 0.015 (0.005)	Loss 1.3810 (1.6921)	Prec@1 61.000 (54.752)	Prec@5 88.500 (83.534)
Epoch: [71][1350/9018]	Time 0.752 (0.623)	Data 0.001 (0.005)	Loss 1.8052 (1.6924)	Prec@1 49.500 (54.741)	Prec@5 84.000 (83.530)
Epoch: [71][1360/9018]	Time 0.615 (0.623)	Data 0.001 (0.005)	Loss 1.7742 (1.6926)	Prec@1 55.500 (54.741)	Prec@5 79.000 (83.520)
Epoch: [71][1370/9018]	Time 0.602 (0.623)	Data 0.001 (0.005)	Loss 1.6266 (1.6928)	Prec@1 58.000 (54.739)	Prec@5 86.000 (83.520)
Epoch: [71][1380/9018]	Time 0.605 (0.623)	Data 0.001 (0.005)	Loss 1.6861 (1.6929)	Prec@1 53.500 (54.732)	Prec@5 84.500 (83.520)
Epoch: [71][1390/9018]	Time 0.614 (0.623)	Data 0.001 (0.005)	Loss 1.5879 (1.6928)	Prec@1 55.000 (54.737)	Prec@5 85.000 (83.518)
Epoch: [71][1400/9018]	Time 0.595 (0.623)	Data 0.001 (0.005)	Loss 1.6317 (1.6926)	Prec@1 56.500 (54.739)	Prec@5 84.000 (83.526)
Epoch: [71][1410/9018]	Time 0.604 (0.623)	Data 0.001 (0.005)	Loss 1.5500 (1.6925)	Prec@1 59.500 (54.738)	Prec@5 86.500 (83.524)
Epoch: [71][1420/9018]	Time 0.607 (0.622)	Data 0.001 (0.005)	Loss 1.5294 (1.6924)	Prec@1 58.000 (54.730)	Prec@5 84.000 (83.533)
Epoch: [71][1430/9018]	Time 0.624 (0.622)	Data 0.001 (0.005)	Loss 1.7304 (1.6921)	Prec@1 56.500 (54.731)	Prec@5 83.500 (83.543)
Epoch: [71][1440/9018]	Time 0.609 (0.622)	Data 0.001 (0.005)	Loss 1.6122 (1.6922)	Prec@1 51.000 (54.724)	Prec@5 84.000 (83.541)
Epoch: [71][1450/9018]	Time 0.626 (0.623)	Data 0.001 (0.005)	Loss 1.7056 (1.6923)	Prec@1 55.000 (54.725)	Prec@5 85.500 (83.543)
Epoch: [71][1460/9018]	Time 0.603 (0.622)	Data 0.001 (0.005)	Loss 1.5503 (1.6922)	Prec@1 55.500 (54.734)	Prec@5 85.500 (83.541)
Epoch: [71][1470/9018]	Time 0.627 (0.622)	Data 0.017 (0.005)	Loss 1.4657 (1.6921)	Prec@1 61.000 (54.731)	Prec@5 89.000 (83.542)
Epoch: [71][1480/9018]	Time 0.628 (0.622)	Data 0.001 (0.005)	Loss 1.6522 (1.6925)	Prec@1 58.000 (54.719)	Prec@5 86.500 (83.541)
Epoch: [71][1490/9018]	Time 0.594 (0.622)	Data 0.001 (0.005)	Loss 1.5498 (1.6926)	Prec@1 56.500 (54.716)	Prec@5 88.500 (83.543)
Epoch: [71][1500/9018]	Time 0.595 (0.622)	Data 0.001 (0.005)	Loss 1.5541 (1.6926)	Prec@1 57.500 (54.712)	Prec@5 86.500 (83.543)
Epoch: [71][1510/9018]	Time 0.619 (0.622)	Data 0.002 (0.005)	Loss 1.8676 (1.6931)	Prec@1 54.500 (54.709)	Prec@5 77.500 (83.528)
Epoch: [71][1520/9018]	Time 0.632 (0.622)	Data 0.001 (0.005)	Loss 1.7304 (1.6930)	Prec@1 52.500 (54.708)	Prec@5 83.500 (83.536)
Epoch: [71][1530/9018]	Time 0.597 (0.622)	Data 0.001 (0.005)	Loss 1.7981 (1.6929)	Prec@1 52.000 (54.713)	Prec@5 80.000 (83.539)
Epoch: [71][1540/9018]	Time 0.613 (0.622)	Data 0.008 (0.005)	Loss 1.7143 (1.6926)	Prec@1 53.500 (54.720)	Prec@5 83.500 (83.545)
Epoch: [71][1550/9018]	Time 0.620 (0.622)	Data 0.001 (0.005)	Loss 1.5714 (1.6923)	Prec@1 52.000 (54.727)	Prec@5 85.000 (83.554)
Epoch: [71][1560/9018]	Time 0.615 (0.622)	Data 0.001 (0.005)	Loss 1.5984 (1.6923)	Prec@1 51.500 (54.731)	Prec@5 86.000 (83.553)
Epoch: [71][1570/9018]	Time 0.598 (0.622)	Data 0.001 (0.005)	Loss 1.4907 (1.6921)	Prec@1 59.500 (54.736)	Prec@5 90.500 (83.556)
Epoch: [71][1580/9018]	Time 0.647 (0.622)	Data 0.016 (0.005)	Loss 1.6306 (1.6918)	Prec@1 57.500 (54.739)	Prec@5 83.500 (83.565)
Epoch: [71][1590/9018]	Time 0.617 (0.622)	Data 0.001 (0.005)	Loss 1.6675 (1.6918)	Prec@1 55.000 (54.740)	Prec@5 84.500 (83.565)
Epoch: [71][1600/9018]	Time 0.620 (0.622)	Data 0.001 (0.005)	Loss 1.8838 (1.6919)	Prec@1 51.500 (54.736)	Prec@5 80.000 (83.568)
Epoch: [71][1610/9018]	Time 0.604 (0.622)	Data 0.001 (0.005)	Loss 1.6802 (1.6921)	Prec@1 53.500 (54.729)	Prec@5 87.500 (83.567)
Epoch: [71][1620/9018]	Time 0.634 (0.622)	Data 0.001 (0.005)	Loss 1.6512 (1.6920)	Prec@1 54.500 (54.734)	Prec@5 83.000 (83.570)
Epoch: [71][1630/9018]	Time 0.725 (0.622)	Data 0.006 (0.005)	Loss 1.7370 (1.6920)	Prec@1 53.000 (54.731)	Prec@5 81.500 (83.571)
Epoch: [71][1640/9018]	Time 0.612 (0.622)	Data 0.001 (0.005)	Loss 1.5172 (1.6917)	Prec@1 59.000 (54.742)	Prec@5 87.500 (83.576)
Epoch: [71][1650/9018]	Time 0.592 (0.622)	Data 0.001 (0.005)	Loss 1.8828 (1.6921)	Prec@1 51.000 (54.727)	Prec@5 83.500 (83.574)
Epoch: [71][1660/9018]	Time 0.605 (0.622)	Data 0.001 (0.005)	Loss 1.6963 (1.6923)	Prec@1 52.500 (54.718)	Prec@5 86.500 (83.570)
Epoch: [71][1670/9018]	Time 0.594 (0.622)	Data 0.001 (0.004)	Loss 1.7418 (1.6924)	Prec@1 51.500 (54.712)	Prec@5 83.000 (83.568)
Epoch: [71][1680/9018]	Time 0.734 (0.622)	Data 0.001 (0.004)	Loss 1.8011 (1.6922)	Prec@1 52.000 (54.714)	Prec@5 79.000 (83.569)
Epoch: [71][1690/9018]	Time 0.600 (0.622)	Data 0.001 (0.004)	Loss 2.0357 (1.6926)	Prec@1 49.500 (54.705)	Prec@5 78.000 (83.561)
Epoch: [71][1700/9018]	Time 0.593 (0.622)	Data 0.001 (0.004)	Loss 1.6371 (1.6925)	Prec@1 55.000 (54.707)	Prec@5 83.500 (83.564)
Epoch: [71][1710/9018]	Time 0.606 (0.622)	Data 0.001 (0.004)	Loss 1.6423 (1.6923)	Prec@1 56.000 (54.711)	Prec@5 85.500 (83.564)
Epoch: [71][1720/9018]	Time 0.614 (0.622)	Data 0.001 (0.004)	Loss 1.5770 (1.6927)	Prec@1 56.500 (54.700)	Prec@5 85.000 (83.555)
Epoch: [71][1730/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.6610 (1.6928)	Prec@1 54.000 (54.697)	Prec@5 83.500 (83.553)
Epoch: [71][1740/9018]	Time 0.602 (0.621)	Data 0.002 (0.004)	Loss 1.7326 (1.6931)	Prec@1 51.500 (54.690)	Prec@5 82.000 (83.552)
Epoch: [71][1750/9018]	Time 0.596 (0.621)	Data 0.001 (0.004)	Loss 1.5719 (1.6929)	Prec@1 57.500 (54.704)	Prec@5 85.500 (83.564)
Epoch: [71][1760/9018]	Time 0.598 (0.621)	Data 0.002 (0.004)	Loss 1.7784 (1.6927)	Prec@1 49.500 (54.708)	Prec@5 86.000 (83.569)
Epoch: [71][1770/9018]	Time 0.594 (0.621)	Data 0.001 (0.004)	Loss 1.8047 (1.6929)	Prec@1 49.500 (54.709)	Prec@5 86.000 (83.567)
Epoch: [71][1780/9018]	Time 0.601 (0.621)	Data 0.001 (0.004)	Loss 1.5757 (1.6929)	Prec@1 57.000 (54.716)	Prec@5 86.000 (83.564)
Epoch: [71][1790/9018]	Time 0.598 (0.621)	Data 0.001 (0.004)	Loss 1.6148 (1.6926)	Prec@1 57.000 (54.729)	Prec@5 85.500 (83.570)
Epoch: [71][1800/9018]	Time 0.607 (0.621)	Data 0.001 (0.004)	Loss 1.7597 (1.6925)	Prec@1 54.000 (54.729)	Prec@5 83.000 (83.572)
Epoch: [71][1810/9018]	Time 0.611 (0.621)	Data 0.001 (0.004)	Loss 1.6532 (1.6927)	Prec@1 57.000 (54.726)	Prec@5 85.000 (83.567)
Epoch: [71][1820/9018]	Time 0.593 (0.621)	Data 0.001 (0.004)	Loss 1.7789 (1.6928)	Prec@1 51.500 (54.730)	Prec@5 83.000 (83.563)
Epoch: [71][1830/9018]	Time 0.599 (0.621)	Data 0.001 (0.004)	Loss 1.5370 (1.6928)	Prec@1 60.000 (54.739)	Prec@5 85.500 (83.560)
Epoch: [71][1840/9018]	Time 0.595 (0.621)	Data 0.001 (0.004)	Loss 1.6916 (1.6927)	Prec@1 52.500 (54.739)	Prec@5 83.000 (83.558)
Epoch: [71][1850/9018]	Time 0.595 (0.621)	Data 0.001 (0.004)	Loss 1.8233 (1.6925)	Prec@1 59.500 (54.745)	Prec@5 82.000 (83.563)
Epoch: [71][1860/9018]	Time 0.593 (0.620)	Data 0.001 (0.004)	Loss 1.7549 (1.6925)	Prec@1 53.000 (54.747)	Prec@5 82.500 (83.564)
Epoch: [71][1870/9018]	Time 0.597 (0.620)	Data 0.001 (0.004)	Loss 1.7755 (1.6927)	Prec@1 50.500 (54.738)	Prec@5 81.500 (83.563)
Epoch: [71][1880/9018]	Time 0.594 (0.620)	Data 0.001 (0.004)	Loss 1.6097 (1.6925)	Prec@1 52.000 (54.739)	Prec@5 86.500 (83.575)
Epoch: [71][1890/9018]	Time 0.599 (0.620)	Data 0.001 (0.004)	Loss 1.5710 (1.6924)	Prec@1 57.000 (54.744)	Prec@5 85.500 (83.578)
Epoch: [71][1900/9018]	Time 0.595 (0.620)	Data 0.001 (0.004)	Loss 1.6503 (1.6921)	Prec@1 58.000 (54.751)	Prec@5 80.500 (83.576)
Epoch: [71][1910/9018]	Time 0.595 (0.620)	Data 0.001 (0.004)	Loss 1.5598 (1.6922)	Prec@1 59.000 (54.751)	Prec@5 86.500 (83.575)
Epoch: [71][1920/9018]	Time 0.593 (0.620)	Data 0.001 (0.004)	Loss 1.6103 (1.6923)	Prec@1 55.000 (54.751)	Prec@5 87.000 (83.573)
Epoch: [71][1930/9018]	Time 0.596 (0.620)	Data 0.001 (0.004)	Loss 1.5589 (1.6922)	Prec@1 52.500 (54.755)	Prec@5 87.500 (83.576)
Epoch: [71][1940/9018]	Time 0.594 (0.620)	Data 0.001 (0.004)	Loss 1.6403 (1.6923)	Prec@1 55.000 (54.748)	Prec@5 85.000 (83.581)
Epoch: [71][1950/9018]	Time 0.596 (0.620)	Data 0.001 (0.004)	Loss 1.6660 (1.6926)	Prec@1 55.500 (54.741)	Prec@5 84.500 (83.573)
Epoch: [71][1960/9018]	Time 0.714 (0.620)	Data 0.001 (0.004)	Loss 1.8230 (1.6927)	Prec@1 50.500 (54.738)	Prec@5 83.000 (83.578)
Epoch: [71][1970/9018]	Time 0.596 (0.620)	Data 0.001 (0.004)	Loss 1.8931 (1.6929)	Prec@1 49.500 (54.735)	Prec@5 80.500 (83.575)
Epoch: [71][1980/9018]	Time 0.597 (0.620)	Data 0.001 (0.004)	Loss 1.8574 (1.6927)	Prec@1 49.500 (54.741)	Prec@5 80.000 (83.578)
Epoch: [71][1990/9018]	Time 0.605 (0.619)	Data 0.001 (0.004)	Loss 1.6145 (1.6929)	Prec@1 56.000 (54.736)	Prec@5 86.000 (83.578)
Epoch: [71][2000/9018]	Time 0.595 (0.619)	Data 0.001 (0.004)	Loss 1.6994 (1.6929)	Prec@1 57.500 (54.737)	Prec@5 83.500 (83.581)
Epoch: [71][2010/9018]	Time 0.713 (0.619)	Data 0.001 (0.004)	Loss 1.7572 (1.6932)	Prec@1 54.000 (54.728)	Prec@5 86.000 (83.581)
Epoch: [71][2020/9018]	Time 0.590 (0.619)	Data 0.001 (0.004)	Loss 1.7270 (1.6932)	Prec@1 51.500 (54.728)	Prec@5 80.500 (83.581)
Epoch: [71][2030/9018]	Time 0.597 (0.619)	Data 0.001 (0.004)	Loss 1.7548 (1.6932)	Prec@1 53.000 (54.727)	Prec@5 83.500 (83.582)
Epoch: [71][2040/9018]	Time 0.597 (0.619)	Data 0.001 (0.004)	Loss 1.5157 (1.6932)	Prec@1 58.000 (54.726)	Prec@5 87.500 (83.583)
Epoch: [71][2050/9018]	Time 0.597 (0.619)	Data 0.001 (0.004)	Loss 1.6967 (1.6933)	Prec@1 50.500 (54.720)	Prec@5 81.500 (83.582)
Epoch: [71][2060/9018]	Time 0.599 (0.619)	Data 0.001 (0.004)	Loss 1.6118 (1.6933)	Prec@1 53.000 (54.720)	Prec@5 85.500 (83.582)
Epoch: [71][2070/9018]	Time 0.598 (0.619)	Data 0.001 (0.004)	Loss 1.8094 (1.6933)	Prec@1 54.000 (54.723)	Prec@5 83.000 (83.587)
Epoch: [71][2080/9018]	Time 0.593 (0.619)	Data 0.001 (0.004)	Loss 1.6953 (1.6933)	Prec@1 55.500 (54.728)	Prec@5 81.500 (83.588)
Epoch: [71][2090/9018]	Time 0.604 (0.619)	Data 0.001 (0.004)	Loss 1.7705 (1.6933)	Prec@1 53.500 (54.725)	Prec@5 82.500 (83.587)
Epoch: [71][2100/9018]	Time 0.599 (0.619)	Data 0.001 (0.004)	Loss 1.5934 (1.6934)	Prec@1 54.500 (54.720)	Prec@5 86.000 (83.587)
Epoch: [71][2110/9018]	Time 0.599 (0.619)	Data 0.001 (0.004)	Loss 1.6991 (1.6931)	Prec@1 56.000 (54.722)	Prec@5 83.500 (83.593)
Epoch: [71][2120/9018]	Time 0.597 (0.619)	Data 0.001 (0.004)	Loss 1.8605 (1.6930)	Prec@1 52.000 (54.726)	Prec@5 82.500 (83.594)
Epoch: [71][2130/9018]	Time 0.601 (0.619)	Data 0.001 (0.004)	Loss 1.7755 (1.6929)	Prec@1 55.000 (54.733)	Prec@5 82.500 (83.595)
Epoch: [71][2140/9018]	Time 0.598 (0.619)	Data 0.001 (0.004)	Loss 1.7257 (1.6929)	Prec@1 56.000 (54.737)	Prec@5 83.500 (83.595)
Epoch: [71][2150/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 1.5499 (1.6928)	Prec@1 59.500 (54.743)	Prec@5 87.500 (83.596)
Epoch: [71][2160/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 1.7703 (1.6931)	Prec@1 55.500 (54.739)	Prec@5 84.000 (83.594)
Epoch: [71][2170/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 1.6967 (1.6932)	Prec@1 52.000 (54.734)	Prec@5 84.500 (83.594)
Epoch: [71][2180/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 1.6244 (1.6929)	Prec@1 55.500 (54.734)	Prec@5 83.000 (83.601)
Epoch: [71][2190/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 1.8276 (1.6929)	Prec@1 51.500 (54.735)	Prec@5 84.000 (83.602)
Epoch: [71][2200/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 1.5920 (1.6932)	Prec@1 57.000 (54.730)	Prec@5 84.000 (83.596)
Epoch: [71][2210/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 1.6344 (1.6932)	Prec@1 57.500 (54.732)	Prec@5 84.500 (83.596)
Epoch: [71][2220/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 1.8320 (1.6930)	Prec@1 50.000 (54.732)	Prec@5 78.000 (83.595)
Epoch: [71][2230/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 1.4519 (1.6929)	Prec@1 60.500 (54.736)	Prec@5 87.000 (83.602)
Epoch: [71][2240/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 1.5166 (1.6927)	Prec@1 58.500 (54.739)	Prec@5 83.000 (83.600)
Epoch: [71][2250/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 1.7118 (1.6931)	Prec@1 53.000 (54.729)	Prec@5 84.000 (83.588)
Epoch: [71][2260/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 1.7223 (1.6931)	Prec@1 54.000 (54.728)	Prec@5 84.000 (83.585)
Epoch: [71][2270/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 1.7116 (1.6933)	Prec@1 53.500 (54.726)	Prec@5 82.500 (83.576)
Epoch: [71][2280/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.6880 (1.6932)	Prec@1 58.500 (54.731)	Prec@5 84.000 (83.578)
Epoch: [71][2290/9018]	Time 0.703 (0.618)	Data 0.001 (0.003)	Loss 1.7522 (1.6934)	Prec@1 54.000 (54.721)	Prec@5 86.000 (83.575)
Epoch: [71][2300/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.5896 (1.6935)	Prec@1 58.000 (54.721)	Prec@5 83.500 (83.568)
Epoch: [71][2310/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 1.8013 (1.6937)	Prec@1 54.000 (54.715)	Prec@5 82.000 (83.569)
Epoch: [71][2320/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 1.7351 (1.6940)	Prec@1 50.000 (54.702)	Prec@5 85.500 (83.565)
Epoch: [71][2330/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.6553 (1.6941)	Prec@1 55.500 (54.697)	Prec@5 81.500 (83.562)
Epoch: [71][2340/9018]	Time 0.716 (0.617)	Data 0.001 (0.003)	Loss 1.6840 (1.6941)	Prec@1 54.000 (54.694)	Prec@5 83.500 (83.564)
Epoch: [71][2350/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 1.6777 (1.6941)	Prec@1 52.500 (54.693)	Prec@5 83.500 (83.560)
Epoch: [71][2360/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.5758 (1.6942)	Prec@1 57.000 (54.692)	Prec@5 82.500 (83.562)
Epoch: [71][2370/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 1.8149 (1.6940)	Prec@1 53.500 (54.700)	Prec@5 82.500 (83.567)
Epoch: [71][2380/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 1.6653 (1.6940)	Prec@1 59.500 (54.705)	Prec@5 78.500 (83.566)
Epoch: [71][2390/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.8388 (1.6941)	Prec@1 55.000 (54.703)	Prec@5 79.500 (83.563)
Epoch: [71][2400/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.6844 (1.6941)	Prec@1 52.000 (54.697)	Prec@5 85.500 (83.562)
Epoch: [71][2410/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.7171 (1.6943)	Prec@1 55.500 (54.696)	Prec@5 82.000 (83.561)
Epoch: [71][2420/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.4866 (1.6942)	Prec@1 58.000 (54.701)	Prec@5 85.500 (83.566)
Epoch: [71][2430/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 1.7559 (1.6941)	Prec@1 52.500 (54.697)	Prec@5 80.500 (83.566)
Epoch: [71][2440/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.4439 (1.6944)	Prec@1 57.000 (54.686)	Prec@5 88.000 (83.566)
Epoch: [71][2450/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.7467 (1.6944)	Prec@1 47.500 (54.683)	Prec@5 84.500 (83.569)
Epoch: [71][2460/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.8475 (1.6945)	Prec@1 55.000 (54.678)	Prec@5 83.500 (83.568)
Epoch: [71][2470/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.8699 (1.6946)	Prec@1 55.000 (54.676)	Prec@5 81.000 (83.570)
Epoch: [71][2480/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.7409 (1.6944)	Prec@1 59.500 (54.679)	Prec@5 83.000 (83.573)
Epoch: [71][2490/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.6515 (1.6942)	Prec@1 57.500 (54.682)	Prec@5 84.000 (83.574)
Epoch: [71][2500/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.7818 (1.6942)	Prec@1 54.500 (54.681)	Prec@5 83.500 (83.575)
Epoch: [71][2510/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 1.6433 (1.6944)	Prec@1 58.000 (54.676)	Prec@5 85.500 (83.575)
Epoch: [71][2520/9018]	Time 0.590 (0.617)	Data 0.001 (0.003)	Loss 1.5106 (1.6942)	Prec@1 60.500 (54.685)	Prec@5 86.500 (83.575)
Epoch: [71][2530/9018]	Time 0.591 (0.616)	Data 0.001 (0.003)	Loss 1.5379 (1.6944)	Prec@1 58.000 (54.680)	Prec@5 85.000 (83.573)
Epoch: [71][2540/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.7519 (1.6944)	Prec@1 54.000 (54.677)	Prec@5 84.500 (83.574)
Epoch: [71][2550/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.5923 (1.6945)	Prec@1 62.500 (54.680)	Prec@5 84.000 (83.573)
Epoch: [71][2560/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 1.4408 (1.6943)	Prec@1 61.000 (54.684)	Prec@5 87.500 (83.577)
Epoch: [71][2570/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.5790 (1.6943)	Prec@1 58.500 (54.687)	Prec@5 87.000 (83.576)
Epoch: [71][2580/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.6711 (1.6945)	Prec@1 55.000 (54.681)	Prec@5 83.500 (83.573)
Epoch: [71][2590/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 1.5518 (1.6944)	Prec@1 54.500 (54.682)	Prec@5 87.500 (83.575)
Epoch: [71][2600/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 1.5987 (1.6942)	Prec@1 57.500 (54.684)	Prec@5 84.500 (83.577)
Epoch: [71][2610/9018]	Time 0.617 (0.616)	Data 0.001 (0.003)	Loss 1.7449 (1.6942)	Prec@1 49.500 (54.689)	Prec@5 84.500 (83.576)
Epoch: [71][2620/9018]	Time 0.699 (0.616)	Data 0.001 (0.003)	Loss 1.6599 (1.6939)	Prec@1 58.000 (54.701)	Prec@5 87.000 (83.583)
Epoch: [71][2630/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.6335 (1.6939)	Prec@1 58.500 (54.701)	Prec@5 84.500 (83.583)
Epoch: [71][2640/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.7111 (1.6941)	Prec@1 55.000 (54.696)	Prec@5 85.500 (83.581)
Epoch: [71][2650/9018]	Time 0.590 (0.616)	Data 0.001 (0.003)	Loss 1.7436 (1.6943)	Prec@1 54.500 (54.690)	Prec@5 83.000 (83.577)
Epoch: [71][2660/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.5880 (1.6942)	Prec@1 60.000 (54.699)	Prec@5 87.500 (83.578)
Epoch: [71][2670/9018]	Time 0.723 (0.616)	Data 0.001 (0.003)	Loss 1.7243 (1.6943)	Prec@1 59.000 (54.695)	Prec@5 82.000 (83.576)
Epoch: [71][2680/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 1.7878 (1.6947)	Prec@1 55.000 (54.686)	Prec@5 79.500 (83.569)
Epoch: [71][2690/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 1.6778 (1.6946)	Prec@1 53.000 (54.689)	Prec@5 86.500 (83.574)
Epoch: [71][2700/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.6309 (1.6947)	Prec@1 57.500 (54.681)	Prec@5 87.500 (83.576)
Epoch: [71][2710/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 1.6179 (1.6946)	Prec@1 58.500 (54.680)	Prec@5 86.000 (83.583)
Epoch: [71][2720/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.8852 (1.6947)	Prec@1 53.000 (54.681)	Prec@5 81.500 (83.580)
Epoch: [71][2730/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 1.6081 (1.6948)	Prec@1 57.000 (54.682)	Prec@5 83.000 (83.579)
Epoch: [71][2740/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 1.6484 (1.6948)	Prec@1 56.000 (54.685)	Prec@5 83.000 (83.579)
Epoch: [71][2750/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 1.7712 (1.6947)	Prec@1 56.500 (54.685)	Prec@5 82.000 (83.579)
Epoch: [71][2760/9018]	Time 0.601 (0.615)	Data 0.001 (0.003)	Loss 1.5639 (1.6945)	Prec@1 56.000 (54.686)	Prec@5 87.500 (83.578)
Epoch: [71][2770/9018]	Time 0.611 (0.615)	Data 0.001 (0.003)	Loss 1.7649 (1.6944)	Prec@1 53.000 (54.688)	Prec@5 82.000 (83.578)
Epoch: [71][2780/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 1.6162 (1.6941)	Prec@1 55.000 (54.699)	Prec@5 88.000 (83.583)
Epoch: [71][2790/9018]	Time 0.600 (0.615)	Data 0.001 (0.003)	Loss 1.8147 (1.6942)	Prec@1 54.000 (54.697)	Prec@5 78.500 (83.582)
Epoch: [71][2800/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 1.4692 (1.6943)	Prec@1 62.000 (54.694)	Prec@5 87.500 (83.580)
Epoch: [71][2810/9018]	Time 0.598 (0.615)	Data 0.001 (0.003)	Loss 2.0127 (1.6944)	Prec@1 45.000 (54.693)	Prec@5 80.000 (83.580)
Epoch: [71][2820/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 1.5825 (1.6945)	Prec@1 63.000 (54.692)	Prec@5 86.500 (83.577)
Epoch: [71][2830/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 1.7212 (1.6946)	Prec@1 51.500 (54.689)	Prec@5 82.000 (83.574)
Epoch: [71][2840/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 1.7262 (1.6947)	Prec@1 56.500 (54.684)	Prec@5 82.500 (83.575)
Epoch: [71][2850/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 1.7692 (1.6948)	Prec@1 46.500 (54.687)	Prec@5 80.500 (83.570)
Epoch: [71][2860/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 1.5340 (1.6947)	Prec@1 59.500 (54.684)	Prec@5 88.500 (83.574)
Epoch: [71][2870/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 1.6540 (1.6950)	Prec@1 53.500 (54.675)	Prec@5 88.000 (83.572)
Epoch: [71][2880/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 1.7575 (1.6949)	Prec@1 52.500 (54.678)	Prec@5 82.000 (83.573)
Epoch: [71][2890/9018]	Time 0.603 (0.615)	Data 0.001 (0.003)	Loss 1.8105 (1.6948)	Prec@1 55.000 (54.684)	Prec@5 80.000 (83.576)
Epoch: [71][2900/9018]	Time 0.604 (0.615)	Data 0.001 (0.003)	Loss 1.6888 (1.6948)	Prec@1 55.000 (54.683)	Prec@5 81.000 (83.572)
Epoch: [71][2910/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 1.5615 (1.6947)	Prec@1 58.500 (54.683)	Prec@5 84.500 (83.576)
Epoch: [71][2920/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 1.5748 (1.6945)	Prec@1 60.500 (54.689)	Prec@5 87.000 (83.579)
Epoch: [71][2930/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 1.6891 (1.6944)	Prec@1 54.500 (54.692)	Prec@5 81.500 (83.578)
Epoch: [71][2940/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 1.7092 (1.6942)	Prec@1 54.000 (54.697)	Prec@5 84.000 (83.581)
Epoch: [71][2950/9018]	Time 0.718 (0.615)	Data 0.001 (0.003)	Loss 1.6988 (1.6942)	Prec@1 54.500 (54.699)	Prec@5 84.500 (83.580)
Epoch: [71][2960/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 1.7273 (1.6941)	Prec@1 56.000 (54.702)	Prec@5 84.000 (83.583)
Epoch: [71][2970/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 1.7158 (1.6941)	Prec@1 52.500 (54.701)	Prec@5 80.500 (83.579)
Epoch: [71][2980/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 1.7980 (1.6942)	Prec@1 50.500 (54.694)	Prec@5 81.500 (83.577)
Epoch: [71][2990/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 1.8772 (1.6942)	Prec@1 51.000 (54.695)	Prec@5 80.500 (83.576)
Epoch: [71][3000/9018]	Time 0.705 (0.615)	Data 0.001 (0.003)	Loss 1.6781 (1.6944)	Prec@1 56.000 (54.690)	Prec@5 83.000 (83.574)
Epoch: [71][3010/9018]	Time 0.590 (0.615)	Data 0.001 (0.003)	Loss 1.7933 (1.6944)	Prec@1 52.500 (54.690)	Prec@5 81.000 (83.571)
Epoch: [71][3020/9018]	Time 0.590 (0.615)	Data 0.001 (0.003)	Loss 1.8288 (1.6946)	Prec@1 50.000 (54.686)	Prec@5 82.500 (83.566)
Epoch: [71][3030/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 1.6057 (1.6946)	Prec@1 55.000 (54.684)	Prec@5 85.500 (83.565)
Epoch: [71][3040/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 1.8524 (1.6947)	Prec@1 49.500 (54.682)	Prec@5 83.000 (83.565)
Epoch: [71][3050/9018]	Time 0.588 (0.615)	Data 0.001 (0.003)	Loss 1.7845 (1.6948)	Prec@1 50.500 (54.676)	Prec@5 84.000 (83.566)
Epoch: [71][3060/9018]	Time 0.596 (0.615)	Data 0.001 (0.003)	Loss 1.7116 (1.6950)	Prec@1 53.500 (54.674)	Prec@5 84.000 (83.563)
Epoch: [71][3070/9018]	Time 0.600 (0.614)	Data 0.001 (0.003)	Loss 1.5344 (1.6948)	Prec@1 57.000 (54.679)	Prec@5 87.000 (83.566)
Epoch: [71][3080/9018]	Time 0.598 (0.614)	Data 0.001 (0.003)	Loss 1.7291 (1.6951)	Prec@1 54.000 (54.670)	Prec@5 84.500 (83.561)
Epoch: [71][3090/9018]	Time 0.594 (0.614)	Data 0.001 (0.003)	Loss 1.5872 (1.6949)	Prec@1 56.500 (54.673)	Prec@5 84.500 (83.564)
Epoch: [71][3100/9018]	Time 0.598 (0.614)	Data 0.001 (0.003)	Loss 1.7190 (1.6950)	Prec@1 54.000 (54.668)	Prec@5 83.000 (83.564)
Epoch: [71][3110/9018]	Time 0.593 (0.614)	Data 0.001 (0.003)	Loss 1.5267 (1.6950)	Prec@1 58.000 (54.666)	Prec@5 89.000 (83.563)
Epoch: [71][3120/9018]	Time 0.601 (0.614)	Data 0.001 (0.003)	Loss 1.5511 (1.6950)	Prec@1 56.000 (54.668)	Prec@5 86.000 (83.565)
Epoch: [71][3130/9018]	Time 0.596 (0.614)	Data 0.001 (0.003)	Loss 1.5044 (1.6948)	Prec@1 60.500 (54.674)	Prec@5 85.500 (83.569)
Epoch: [71][3140/9018]	Time 0.597 (0.614)	Data 0.001 (0.003)	Loss 1.5179 (1.6947)	Prec@1 57.000 (54.675)	Prec@5 87.500 (83.570)
Epoch: [71][3150/9018]	Time 0.597 (0.614)	Data 0.001 (0.003)	Loss 1.5897 (1.6945)	Prec@1 55.000 (54.675)	Prec@5 86.500 (83.573)
Epoch: [71][3160/9018]	Time 0.596 (0.614)	Data 0.001 (0.003)	Loss 1.5520 (1.6945)	Prec@1 57.500 (54.678)	Prec@5 85.000 (83.572)
Epoch: [71][3170/9018]	Time 0.599 (0.614)	Data 0.001 (0.003)	Loss 1.6720 (1.6946)	Prec@1 52.000 (54.673)	Prec@5 86.000 (83.574)
Epoch: [71][3180/9018]	Time 0.598 (0.614)	Data 0.001 (0.003)	Loss 1.6788 (1.6946)	Prec@1 56.000 (54.675)	Prec@5 83.000 (83.572)
Epoch: [71][3190/9018]	Time 0.598 (0.614)	Data 0.001 (0.003)	Loss 1.8601 (1.6948)	Prec@1 48.000 (54.668)	Prec@5 78.500 (83.568)
Epoch: [71][3200/9018]	Time 0.600 (0.614)	Data 0.001 (0.003)	Loss 1.6549 (1.6949)	Prec@1 54.000 (54.666)	Prec@5 83.500 (83.565)
Epoch: [71][3210/9018]	Time 0.602 (0.614)	Data 0.001 (0.003)	Loss 1.7760 (1.6949)	Prec@1 54.500 (54.668)	Prec@5 81.000 (83.561)
Epoch: [71][3220/9018]	Time 0.596 (0.614)	Data 0.001 (0.003)	Loss 1.5381 (1.6948)	Prec@1 59.000 (54.666)	Prec@5 85.500 (83.566)
Epoch: [71][3230/9018]	Time 0.599 (0.614)	Data 0.001 (0.003)	Loss 1.9219 (1.6949)	Prec@1 49.000 (54.667)	Prec@5 80.000 (83.563)
Epoch: [71][3240/9018]	Time 0.594 (0.614)	Data 0.001 (0.003)	Loss 1.6714 (1.6949)	Prec@1 55.500 (54.664)	Prec@5 83.500 (83.565)
Epoch: [71][3250/9018]	Time 0.597 (0.614)	Data 0.001 (0.003)	Loss 1.6992 (1.6949)	Prec@1 53.000 (54.662)	Prec@5 82.000 (83.564)
Epoch: [71][3260/9018]	Time 0.609 (0.614)	Data 0.001 (0.003)	Loss 1.7651 (1.6949)	Prec@1 51.500 (54.663)	Prec@5 82.500 (83.564)
Epoch: [71][3270/9018]	Time 0.627 (0.614)	Data 0.001 (0.003)	Loss 1.8625 (1.6949)	Prec@1 52.000 (54.661)	Prec@5 79.500 (83.565)
Epoch: [71][3280/9018]	Time 0.727 (0.614)	Data 0.001 (0.003)	Loss 1.7408 (1.6947)	Prec@1 51.500 (54.666)	Prec@5 82.500 (83.566)
Epoch: [71][3290/9018]	Time 0.606 (0.614)	Data 0.001 (0.003)	Loss 1.4308 (1.6948)	Prec@1 61.000 (54.663)	Prec@5 87.000 (83.567)
Epoch: [71][3300/9018]	Time 0.594 (0.614)	Data 0.001 (0.003)	Loss 1.5773 (1.6948)	Prec@1 54.000 (54.662)	Prec@5 85.000 (83.566)
Epoch: [71][3310/9018]	Time 0.601 (0.614)	Data 0.001 (0.003)	Loss 1.6335 (1.6949)	Prec@1 61.000 (54.658)	Prec@5 83.000 (83.566)
Epoch: [71][3320/9018]	Time 0.629 (0.614)	Data 0.014 (0.003)	Loss 1.5892 (1.6950)	Prec@1 55.000 (54.655)	Prec@5 85.000 (83.565)
Epoch: [71][3330/9018]	Time 0.736 (0.614)	Data 0.001 (0.003)	Loss 1.5583 (1.6949)	Prec@1 57.500 (54.658)	Prec@5 86.000 (83.566)
Epoch: [71][3340/9018]	Time 0.619 (0.614)	Data 0.001 (0.003)	Loss 1.7728 (1.6948)	Prec@1 53.500 (54.660)	Prec@5 81.500 (83.566)
Epoch: [71][3350/9018]	Time 0.593 (0.614)	Data 0.001 (0.003)	Loss 1.6338 (1.6946)	Prec@1 58.000 (54.665)	Prec@5 84.500 (83.570)
Epoch: [71][3360/9018]	Time 0.596 (0.614)	Data 0.011 (0.003)	Loss 1.8817 (1.6945)	Prec@1 52.500 (54.667)	Prec@5 79.000 (83.572)
Epoch: [71][3370/9018]	Time 0.598 (0.614)	Data 0.001 (0.003)	Loss 1.4669 (1.6942)	Prec@1 59.500 (54.670)	Prec@5 88.000 (83.576)
Epoch: [71][3380/9018]	Time 0.604 (0.614)	Data 0.001 (0.003)	Loss 1.6756 (1.6943)	Prec@1 56.500 (54.667)	Prec@5 88.000 (83.574)
Epoch: [71][3390/9018]	Time 0.596 (0.614)	Data 0.001 (0.003)	Loss 1.7156 (1.6941)	Prec@1 53.000 (54.672)	Prec@5 85.500 (83.577)
Epoch: [71][3400/9018]	Time 0.597 (0.614)	Data 0.001 (0.003)	Loss 1.5469 (1.6942)	Prec@1 60.000 (54.672)	Prec@5 84.000 (83.573)
Epoch: [71][3410/9018]	Time 0.593 (0.614)	Data 0.001 (0.003)	Loss 1.7788 (1.6941)	Prec@1 50.500 (54.672)	Prec@5 83.000 (83.578)
Epoch: [71][3420/9018]	Time 0.596 (0.614)	Data 0.001 (0.003)	Loss 1.6878 (1.6941)	Prec@1 56.000 (54.673)	Prec@5 85.500 (83.581)
Epoch: [71][3430/9018]	Time 0.613 (0.614)	Data 0.013 (0.003)	Loss 1.6205 (1.6940)	Prec@1 54.500 (54.671)	Prec@5 83.500 (83.579)
Epoch: [71][3440/9018]	Time 0.597 (0.614)	Data 0.001 (0.003)	Loss 1.6398 (1.6942)	Prec@1 56.500 (54.667)	Prec@5 82.500 (83.576)
Epoch: [71][3450/9018]	Time 0.595 (0.614)	Data 0.001 (0.003)	Loss 1.6292 (1.6942)	Prec@1 59.000 (54.666)	Prec@5 86.500 (83.576)
Epoch: [71][3460/9018]	Time 0.607 (0.614)	Data 0.001 (0.003)	Loss 1.7571 (1.6943)	Prec@1 56.500 (54.666)	Prec@5 81.000 (83.575)
Epoch: [71][3470/9018]	Time 0.610 (0.614)	Data 0.001 (0.003)	Loss 1.5814 (1.6943)	Prec@1 61.500 (54.667)	Prec@5 83.500 (83.573)
Epoch: [71][3480/9018]	Time 0.616 (0.614)	Data 0.001 (0.003)	Loss 1.6355 (1.6944)	Prec@1 60.000 (54.670)	Prec@5 86.000 (83.573)
Epoch: [71][3490/9018]	Time 0.591 (0.614)	Data 0.001 (0.003)	Loss 1.7333 (1.6945)	Prec@1 53.000 (54.670)	Prec@5 87.500 (83.571)
Epoch: [71][3500/9018]	Time 0.607 (0.614)	Data 0.001 (0.003)	Loss 1.8341 (1.6944)	Prec@1 50.000 (54.673)	Prec@5 83.500 (83.571)
Epoch: [71][3510/9018]	Time 0.619 (0.614)	Data 0.001 (0.003)	Loss 1.7605 (1.6943)	Prec@1 57.000 (54.677)	Prec@5 83.500 (83.578)
Epoch: [71][3520/9018]	Time 0.613 (0.614)	Data 0.001 (0.003)	Loss 1.7076 (1.6943)	Prec@1 53.000 (54.679)	Prec@5 85.000 (83.579)
Epoch: [71][3530/9018]	Time 0.602 (0.614)	Data 0.001 (0.003)	Loss 1.6158 (1.6942)	Prec@1 56.000 (54.681)	Prec@5 85.000 (83.580)
Epoch: [71][3540/9018]	Time 0.621 (0.614)	Data 0.001 (0.003)	Loss 1.8072 (1.6941)	Prec@1 53.000 (54.689)	Prec@5 82.500 (83.581)
Epoch: [71][3550/9018]	Time 0.597 (0.614)	Data 0.001 (0.003)	Loss 1.6636 (1.6940)	Prec@1 57.500 (54.693)	Prec@5 86.000 (83.581)
Epoch: [71][3560/9018]	Time 0.616 (0.614)	Data 0.001 (0.003)	Loss 1.6872 (1.6940)	Prec@1 56.000 (54.697)	Prec@5 84.000 (83.582)
Epoch: [71][3570/9018]	Time 0.605 (0.614)	Data 0.001 (0.003)	Loss 1.6908 (1.6941)	Prec@1 52.500 (54.694)	Prec@5 83.500 (83.582)
Epoch: [71][3580/9018]	Time 0.606 (0.614)	Data 0.001 (0.003)	Loss 1.5638 (1.6943)	Prec@1 56.000 (54.691)	Prec@5 86.500 (83.577)
Epoch: [71][3590/9018]	Time 0.628 (0.614)	Data 0.016 (0.003)	Loss 1.5824 (1.6943)	Prec@1 56.500 (54.692)	Prec@5 86.500 (83.577)
Epoch: [71][3600/9018]	Time 0.628 (0.614)	Data 0.001 (0.003)	Loss 1.7205 (1.6942)	Prec@1 57.000 (54.693)	Prec@5 84.000 (83.581)
Epoch: [71][3610/9018]	Time 0.728 (0.614)	Data 0.001 (0.003)	Loss 1.7714 (1.6942)	Prec@1 58.000 (54.697)	Prec@5 80.000 (83.581)
Epoch: [71][3620/9018]	Time 0.596 (0.614)	Data 0.001 (0.003)	Loss 1.7556 (1.6942)	Prec@1 54.500 (54.697)	Prec@5 83.000 (83.582)
Epoch: [71][3630/9018]	Time 0.627 (0.614)	Data 0.001 (0.003)	Loss 1.5706 (1.6941)	Prec@1 58.500 (54.700)	Prec@5 84.000 (83.582)
Epoch: [71][3640/9018]	Time 0.601 (0.614)	Data 0.001 (0.003)	Loss 1.5734 (1.6941)	Prec@1 53.500 (54.701)	Prec@5 85.000 (83.580)
Epoch: [71][3650/9018]	Time 0.611 (0.615)	Data 0.001 (0.003)	Loss 1.8584 (1.6942)	Prec@1 53.000 (54.700)	Prec@5 80.000 (83.579)
Epoch: [71][3660/9018]	Time 0.743 (0.615)	Data 0.001 (0.003)	Loss 1.6744 (1.6942)	Prec@1 56.500 (54.701)	Prec@5 84.000 (83.578)
Epoch: [71][3670/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 1.5457 (1.6939)	Prec@1 58.500 (54.706)	Prec@5 87.000 (83.582)
Epoch: [71][3680/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 1.8768 (1.6941)	Prec@1 52.000 (54.701)	Prec@5 81.500 (83.578)
Epoch: [71][3690/9018]	Time 0.615 (0.615)	Data 0.001 (0.003)	Loss 1.7312 (1.6942)	Prec@1 55.500 (54.698)	Prec@5 81.500 (83.576)
Epoch: [71][3700/9018]	Time 0.611 (0.615)	Data 0.001 (0.003)	Loss 1.5467 (1.6941)	Prec@1 59.500 (54.696)	Prec@5 88.500 (83.580)
Epoch: [71][3710/9018]	Time 0.623 (0.615)	Data 0.001 (0.003)	Loss 1.5802 (1.6942)	Prec@1 56.000 (54.696)	Prec@5 86.000 (83.582)
Epoch: [71][3720/9018]	Time 0.617 (0.615)	Data 0.001 (0.003)	Loss 1.6816 (1.6941)	Prec@1 57.000 (54.700)	Prec@5 82.500 (83.584)
Epoch: [71][3730/9018]	Time 0.629 (0.615)	Data 0.001 (0.003)	Loss 1.8104 (1.6941)	Prec@1 51.000 (54.700)	Prec@5 82.000 (83.582)
Epoch: [71][3740/9018]	Time 0.600 (0.615)	Data 0.001 (0.003)	Loss 1.6791 (1.6940)	Prec@1 48.500 (54.700)	Prec@5 84.000 (83.587)
Epoch: [71][3750/9018]	Time 0.604 (0.615)	Data 0.001 (0.003)	Loss 1.6927 (1.6942)	Prec@1 57.000 (54.696)	Prec@5 84.000 (83.585)
Epoch: [71][3760/9018]	Time 0.601 (0.615)	Data 0.001 (0.003)	Loss 1.5975 (1.6941)	Prec@1 58.500 (54.699)	Prec@5 85.500 (83.587)
Epoch: [71][3770/9018]	Time 0.597 (0.615)	Data 0.001 (0.003)	Loss 1.9063 (1.6942)	Prec@1 49.000 (54.699)	Prec@5 80.500 (83.584)
Epoch: [71][3780/9018]	Time 0.611 (0.615)	Data 0.001 (0.003)	Loss 1.7634 (1.6943)	Prec@1 54.500 (54.697)	Prec@5 80.500 (83.583)
Epoch: [71][3790/9018]	Time 0.610 (0.615)	Data 0.001 (0.003)	Loss 1.4773 (1.6944)	Prec@1 60.000 (54.694)	Prec@5 85.000 (83.581)
Epoch: [71][3800/9018]	Time 0.635 (0.615)	Data 0.001 (0.003)	Loss 1.5625 (1.6943)	Prec@1 54.000 (54.693)	Prec@5 84.000 (83.583)
Epoch: [71][3810/9018]	Time 0.625 (0.615)	Data 0.006 (0.003)	Loss 1.9183 (1.6942)	Prec@1 52.500 (54.695)	Prec@5 78.000 (83.583)
Epoch: [71][3820/9018]	Time 0.615 (0.615)	Data 0.001 (0.003)	Loss 1.8249 (1.6942)	Prec@1 51.000 (54.694)	Prec@5 83.500 (83.581)
Epoch: [71][3830/9018]	Time 0.605 (0.615)	Data 0.014 (0.003)	Loss 1.5751 (1.6943)	Prec@1 59.500 (54.695)	Prec@5 85.000 (83.579)
Epoch: [71][3840/9018]	Time 0.634 (0.615)	Data 0.006 (0.003)	Loss 1.7570 (1.6941)	Prec@1 57.500 (54.702)	Prec@5 81.500 (83.579)
Epoch: [71][3850/9018]	Time 0.607 (0.615)	Data 0.001 (0.003)	Loss 1.6970 (1.6940)	Prec@1 52.500 (54.705)	Prec@5 86.000 (83.582)
Epoch: [71][3860/9018]	Time 0.613 (0.615)	Data 0.001 (0.003)	Loss 1.9001 (1.6940)	Prec@1 51.000 (54.705)	Prec@5 82.000 (83.584)
Epoch: [71][3870/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 1.6528 (1.6939)	Prec@1 61.000 (54.705)	Prec@5 82.500 (83.584)
Epoch: [71][3880/9018]	Time 0.600 (0.615)	Data 0.001 (0.003)	Loss 1.6536 (1.6939)	Prec@1 53.500 (54.703)	Prec@5 82.500 (83.585)
Epoch: [71][3890/9018]	Time 0.624 (0.615)	Data 0.001 (0.003)	Loss 1.5247 (1.6937)	Prec@1 60.500 (54.710)	Prec@5 87.500 (83.587)
Epoch: [71][3900/9018]	Time 0.612 (0.615)	Data 0.001 (0.003)	Loss 1.6402 (1.6938)	Prec@1 56.500 (54.710)	Prec@5 87.500 (83.588)
Epoch: [71][3910/9018]	Time 0.610 (0.615)	Data 0.001 (0.003)	Loss 1.6691 (1.6940)	Prec@1 57.000 (54.705)	Prec@5 83.500 (83.587)
Epoch: [71][3920/9018]	Time 0.616 (0.615)	Data 0.001 (0.003)	Loss 1.6786 (1.6941)	Prec@1 55.500 (54.703)	Prec@5 85.500 (83.585)
Epoch: [71][3930/9018]	Time 0.593 (0.615)	Data 0.001 (0.003)	Loss 1.8008 (1.6942)	Prec@1 50.000 (54.698)	Prec@5 80.500 (83.583)
Epoch: [71][3940/9018]	Time 0.746 (0.615)	Data 0.001 (0.003)	Loss 1.8498 (1.6942)	Prec@1 47.500 (54.704)	Prec@5 81.500 (83.585)
Epoch: [71][3950/9018]	Time 0.623 (0.615)	Data 0.001 (0.003)	Loss 1.4799 (1.6940)	Prec@1 58.000 (54.706)	Prec@5 88.000 (83.589)
Epoch: [71][3960/9018]	Time 0.642 (0.615)	Data 0.001 (0.003)	Loss 1.7060 (1.6941)	Prec@1 56.500 (54.707)	Prec@5 82.500 (83.591)
Epoch: [71][3970/9018]	Time 0.606 (0.615)	Data 0.001 (0.003)	Loss 1.8988 (1.6941)	Prec@1 52.500 (54.708)	Prec@5 79.500 (83.590)
Epoch: [71][3980/9018]	Time 0.609 (0.615)	Data 0.001 (0.003)	Loss 1.7664 (1.6941)	Prec@1 50.500 (54.706)	Prec@5 79.000 (83.591)
Epoch: [71][3990/9018]	Time 0.748 (0.615)	Data 0.001 (0.003)	Loss 1.8787 (1.6941)	Prec@1 50.500 (54.707)	Prec@5 79.000 (83.591)
Epoch: [71][4000/9018]	Time 0.603 (0.615)	Data 0.001 (0.003)	Loss 1.6477 (1.6941)	Prec@1 54.000 (54.710)	Prec@5 86.000 (83.591)
Epoch: [71][4010/9018]	Time 0.606 (0.615)	Data 0.001 (0.003)	Loss 1.5861 (1.6941)	Prec@1 55.500 (54.709)	Prec@5 84.500 (83.591)
Epoch: [71][4020/9018]	Time 0.601 (0.615)	Data 0.001 (0.003)	Loss 1.6932 (1.6941)	Prec@1 55.500 (54.710)	Prec@5 80.000 (83.591)
Epoch: [71][4030/9018]	Time 0.641 (0.615)	Data 0.001 (0.003)	Loss 1.7706 (1.6942)	Prec@1 50.000 (54.708)	Prec@5 85.000 (83.589)
Epoch: [71][4040/9018]	Time 0.605 (0.615)	Data 0.014 (0.003)	Loss 1.7770 (1.6939)	Prec@1 52.500 (54.714)	Prec@5 82.000 (83.592)
Epoch: [71][4050/9018]	Time 0.619 (0.615)	Data 0.001 (0.003)	Loss 1.7317 (1.6940)	Prec@1 57.500 (54.711)	Prec@5 84.500 (83.591)
Epoch: [71][4060/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 1.6350 (1.6940)	Prec@1 54.500 (54.709)	Prec@5 85.500 (83.593)
Epoch: [71][4070/9018]	Time 0.607 (0.615)	Data 0.016 (0.003)	Loss 1.8843 (1.6938)	Prec@1 52.000 (54.714)	Prec@5 80.000 (83.599)
Epoch: [71][4080/9018]	Time 0.642 (0.615)	Data 0.016 (0.003)	Loss 1.5859 (1.6938)	Prec@1 58.500 (54.713)	Prec@5 87.000 (83.601)
Epoch: [71][4090/9018]	Time 0.620 (0.615)	Data 0.001 (0.003)	Loss 1.8473 (1.6938)	Prec@1 52.000 (54.715)	Prec@5 82.500 (83.602)
Epoch: [71][4100/9018]	Time 0.605 (0.615)	Data 0.001 (0.003)	Loss 1.8005 (1.6939)	Prec@1 49.500 (54.711)	Prec@5 81.500 (83.601)
Epoch: [71][4110/9018]	Time 0.616 (0.615)	Data 0.013 (0.003)	Loss 1.6850 (1.6940)	Prec@1 57.000 (54.708)	Prec@5 85.000 (83.600)
Epoch: [71][4120/9018]	Time 0.598 (0.615)	Data 0.001 (0.003)	Loss 1.7663 (1.6941)	Prec@1 50.000 (54.705)	Prec@5 81.000 (83.598)
Epoch: [71][4130/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 1.4431 (1.6942)	Prec@1 62.000 (54.705)	Prec@5 90.500 (83.596)
Epoch: [71][4140/9018]	Time 0.605 (0.615)	Data 0.001 (0.003)	Loss 1.7925 (1.6942)	Prec@1 49.500 (54.705)	Prec@5 84.000 (83.594)
Epoch: [71][4150/9018]	Time 0.607 (0.615)	Data 0.001 (0.003)	Loss 1.5882 (1.6943)	Prec@1 57.500 (54.705)	Prec@5 86.000 (83.593)
Epoch: [71][4160/9018]	Time 0.591 (0.615)	Data 0.005 (0.003)	Loss 1.5553 (1.6943)	Prec@1 58.500 (54.705)	Prec@5 84.500 (83.594)
Epoch: [71][4170/9018]	Time 0.629 (0.615)	Data 0.016 (0.003)	Loss 1.6664 (1.6944)	Prec@1 55.000 (54.702)	Prec@5 84.000 (83.593)
Epoch: [71][4180/9018]	Time 0.621 (0.615)	Data 0.001 (0.003)	Loss 1.7157 (1.6945)	Prec@1 50.500 (54.698)	Prec@5 83.000 (83.590)
Epoch: [71][4190/9018]	Time 0.630 (0.615)	Data 0.001 (0.003)	Loss 1.8519 (1.6945)	Prec@1 48.000 (54.700)	Prec@5 78.500 (83.591)
Epoch: [71][4200/9018]	Time 0.628 (0.615)	Data 0.001 (0.003)	Loss 1.7344 (1.6946)	Prec@1 54.500 (54.695)	Prec@5 82.500 (83.587)
Epoch: [71][4210/9018]	Time 0.625 (0.615)	Data 0.001 (0.003)	Loss 1.6589 (1.6946)	Prec@1 55.000 (54.695)	Prec@5 83.000 (83.585)
Epoch: [71][4220/9018]	Time 0.600 (0.615)	Data 0.001 (0.003)	Loss 1.6608 (1.6945)	Prec@1 56.000 (54.695)	Prec@5 85.500 (83.588)
Epoch: [71][4230/9018]	Time 0.602 (0.615)	Data 0.004 (0.003)	Loss 1.5875 (1.6945)	Prec@1 58.000 (54.696)	Prec@5 85.000 (83.589)
Epoch: [71][4240/9018]	Time 0.622 (0.615)	Data 0.001 (0.003)	Loss 1.9423 (1.6946)	Prec@1 50.500 (54.693)	Prec@5 80.500 (83.586)
Epoch: [71][4250/9018]	Time 0.619 (0.615)	Data 0.003 (0.003)	Loss 1.5153 (1.6947)	Prec@1 57.500 (54.694)	Prec@5 87.500 (83.584)
Epoch: [71][4260/9018]	Time 0.599 (0.615)	Data 0.001 (0.003)	Loss 1.7428 (1.6947)	Prec@1 51.500 (54.693)	Prec@5 82.000 (83.585)
Epoch: [71][4270/9018]	Time 0.764 (0.615)	Data 0.001 (0.003)	Loss 1.6032 (1.6948)	Prec@1 54.500 (54.692)	Prec@5 89.000 (83.585)
Epoch: [71][4280/9018]	Time 0.629 (0.615)	Data 0.001 (0.003)	Loss 1.6708 (1.6951)	Prec@1 56.500 (54.689)	Prec@5 85.000 (83.580)
Epoch: [71][4290/9018]	Time 0.606 (0.615)	Data 0.001 (0.003)	Loss 1.5466 (1.6951)	Prec@1 60.000 (54.688)	Prec@5 85.000 (83.578)
Epoch: [71][4300/9018]	Time 0.626 (0.615)	Data 0.001 (0.003)	Loss 1.8734 (1.6952)	Prec@1 55.500 (54.687)	Prec@5 77.000 (83.576)
Epoch: [71][4310/9018]	Time 0.616 (0.615)	Data 0.001 (0.003)	Loss 1.6305 (1.6952)	Prec@1 59.500 (54.688)	Prec@5 85.500 (83.578)
Epoch: [71][4320/9018]	Time 0.723 (0.615)	Data 0.001 (0.003)	Loss 1.8503 (1.6954)	Prec@1 48.000 (54.683)	Prec@5 80.500 (83.573)
Epoch: [71][4330/9018]	Time 0.624 (0.615)	Data 0.006 (0.003)	Loss 1.7997 (1.6952)	Prec@1 51.500 (54.689)	Prec@5 82.000 (83.577)
Epoch: [71][4340/9018]	Time 0.614 (0.615)	Data 0.029 (0.003)	Loss 1.6142 (1.6950)	Prec@1 53.000 (54.691)	Prec@5 84.500 (83.581)
Epoch: [71][4350/9018]	Time 0.613 (0.615)	Data 0.008 (0.003)	Loss 1.7857 (1.6951)	Prec@1 56.500 (54.692)	Prec@5 84.000 (83.579)
Epoch: [71][4360/9018]	Time 0.602 (0.615)	Data 0.001 (0.003)	Loss 1.7185 (1.6951)	Prec@1 54.500 (54.692)	Prec@5 83.000 (83.579)
Epoch: [71][4370/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 1.6313 (1.6950)	Prec@1 57.500 (54.692)	Prec@5 84.500 (83.582)
Epoch: [71][4380/9018]	Time 0.614 (0.615)	Data 0.026 (0.003)	Loss 1.8932 (1.6951)	Prec@1 55.500 (54.690)	Prec@5 80.000 (83.580)
Epoch: [71][4390/9018]	Time 0.621 (0.615)	Data 0.016 (0.003)	Loss 1.6669 (1.6951)	Prec@1 56.500 (54.691)	Prec@5 84.000 (83.579)
Epoch: [71][4400/9018]	Time 0.617 (0.615)	Data 0.015 (0.003)	Loss 1.5883 (1.6950)	Prec@1 52.500 (54.692)	Prec@5 84.500 (83.580)
Epoch: [71][4410/9018]	Time 0.607 (0.615)	Data 0.001 (0.003)	Loss 1.8104 (1.6951)	Prec@1 52.000 (54.686)	Prec@5 83.500 (83.580)
Epoch: [71][4420/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 1.6531 (1.6950)	Prec@1 54.500 (54.687)	Prec@5 85.000 (83.583)
Epoch: [71][4430/9018]	Time 0.630 (0.615)	Data 0.002 (0.003)	Loss 1.6575 (1.6950)	Prec@1 49.000 (54.683)	Prec@5 83.500 (83.583)
Epoch: [71][4440/9018]	Time 0.611 (0.615)	Data 0.001 (0.003)	Loss 1.5988 (1.6951)	Prec@1 57.000 (54.678)	Prec@5 84.500 (83.581)
Epoch: [71][4450/9018]	Time 0.624 (0.615)	Data 0.001 (0.003)	Loss 1.6195 (1.6952)	Prec@1 56.500 (54.677)	Prec@5 85.000 (83.579)
Epoch: [71][4460/9018]	Time 0.617 (0.615)	Data 0.001 (0.003)	Loss 1.8388 (1.6952)	Prec@1 54.500 (54.675)	Prec@5 81.000 (83.579)
Epoch: [71][4470/9018]	Time 0.603 (0.615)	Data 0.009 (0.003)	Loss 1.6418 (1.6951)	Prec@1 53.000 (54.676)	Prec@5 84.500 (83.582)
Epoch: [71][4480/9018]	Time 0.594 (0.615)	Data 0.001 (0.003)	Loss 1.6169 (1.6950)	Prec@1 54.000 (54.674)	Prec@5 86.000 (83.582)
Epoch: [71][4490/9018]	Time 0.616 (0.615)	Data 0.001 (0.003)	Loss 1.8154 (1.6952)	Prec@1 51.500 (54.674)	Prec@5 83.000 (83.579)
Epoch: [71][4500/9018]	Time 0.595 (0.615)	Data 0.001 (0.003)	Loss 1.6678 (1.6952)	Prec@1 55.000 (54.672)	Prec@5 85.000 (83.578)
Epoch: [71][4510/9018]	Time 0.604 (0.616)	Data 0.004 (0.003)	Loss 1.7398 (1.6953)	Prec@1 53.500 (54.674)	Prec@5 84.000 (83.577)
Epoch: [71][4520/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.7321 (1.6953)	Prec@1 54.500 (54.673)	Prec@5 84.500 (83.576)
Epoch: [71][4530/9018]	Time 0.616 (0.616)	Data 0.001 (0.003)	Loss 1.5481 (1.6951)	Prec@1 60.000 (54.677)	Prec@5 81.000 (83.577)
Epoch: [71][4540/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.7173 (1.6950)	Prec@1 57.500 (54.681)	Prec@5 84.000 (83.581)
Epoch: [71][4550/9018]	Time 0.627 (0.616)	Data 0.001 (0.003)	Loss 1.6195 (1.6951)	Prec@1 54.000 (54.678)	Prec@5 84.500 (83.578)
Epoch: [71][4560/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.5922 (1.6950)	Prec@1 59.000 (54.682)	Prec@5 83.000 (83.579)
Epoch: [71][4570/9018]	Time 0.602 (0.616)	Data 0.002 (0.003)	Loss 1.7232 (1.6950)	Prec@1 57.000 (54.680)	Prec@5 80.500 (83.578)
Epoch: [71][4580/9018]	Time 0.636 (0.616)	Data 0.001 (0.003)	Loss 1.5239 (1.6950)	Prec@1 60.000 (54.682)	Prec@5 82.000 (83.577)
Epoch: [71][4590/9018]	Time 0.614 (0.616)	Data 0.013 (0.003)	Loss 1.7880 (1.6950)	Prec@1 52.500 (54.682)	Prec@5 83.000 (83.577)
Epoch: [71][4600/9018]	Time 0.754 (0.616)	Data 0.001 (0.003)	Loss 1.6978 (1.6950)	Prec@1 53.000 (54.683)	Prec@5 81.500 (83.578)
Epoch: [71][4610/9018]	Time 0.618 (0.616)	Data 0.017 (0.003)	Loss 1.8974 (1.6950)	Prec@1 54.000 (54.683)	Prec@5 79.000 (83.578)
Epoch: [71][4620/9018]	Time 0.633 (0.616)	Data 0.001 (0.003)	Loss 1.8467 (1.6951)	Prec@1 48.500 (54.679)	Prec@5 83.500 (83.576)
Epoch: [71][4630/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 1.6860 (1.6951)	Prec@1 53.000 (54.679)	Prec@5 81.500 (83.572)
Epoch: [71][4640/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 1.7236 (1.6952)	Prec@1 56.000 (54.679)	Prec@5 81.000 (83.570)
Epoch: [71][4650/9018]	Time 0.744 (0.616)	Data 0.001 (0.003)	Loss 1.6191 (1.6954)	Prec@1 61.500 (54.680)	Prec@5 81.000 (83.567)
Epoch: [71][4660/9018]	Time 0.625 (0.616)	Data 0.001 (0.003)	Loss 1.7342 (1.6952)	Prec@1 51.000 (54.682)	Prec@5 84.000 (83.570)
Epoch: [71][4670/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.8557 (1.6954)	Prec@1 50.500 (54.678)	Prec@5 80.000 (83.566)
Epoch: [71][4680/9018]	Time 0.615 (0.616)	Data 0.012 (0.003)	Loss 1.6002 (1.6954)	Prec@1 52.500 (54.674)	Prec@5 86.500 (83.566)
Epoch: [71][4690/9018]	Time 0.613 (0.616)	Data 0.001 (0.003)	Loss 1.5551 (1.6954)	Prec@1 61.500 (54.676)	Prec@5 84.000 (83.567)
Epoch: [71][4700/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.5663 (1.6954)	Prec@1 62.000 (54.678)	Prec@5 84.000 (83.563)
Epoch: [71][4710/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 1.7849 (1.6954)	Prec@1 54.500 (54.680)	Prec@5 83.000 (83.564)
Epoch: [71][4720/9018]	Time 0.589 (0.616)	Data 0.002 (0.003)	Loss 1.5320 (1.6954)	Prec@1 57.000 (54.680)	Prec@5 85.000 (83.565)
Epoch: [71][4730/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 1.6907 (1.6954)	Prec@1 56.000 (54.680)	Prec@5 80.500 (83.566)
Epoch: [71][4740/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 1.6583 (1.6955)	Prec@1 59.000 (54.678)	Prec@5 82.000 (83.565)
Epoch: [71][4750/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.6951 (1.6956)	Prec@1 57.000 (54.679)	Prec@5 83.000 (83.562)
Epoch: [71][4760/9018]	Time 0.617 (0.616)	Data 0.014 (0.003)	Loss 1.7937 (1.6956)	Prec@1 52.000 (54.676)	Prec@5 82.500 (83.564)
Epoch: [71][4770/9018]	Time 0.639 (0.616)	Data 0.001 (0.003)	Loss 1.4768 (1.6956)	Prec@1 64.500 (54.678)	Prec@5 86.500 (83.565)
Epoch: [71][4780/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 1.6419 (1.6958)	Prec@1 57.500 (54.676)	Prec@5 84.500 (83.562)
Epoch: [71][4790/9018]	Time 0.625 (0.616)	Data 0.014 (0.003)	Loss 1.6576 (1.6958)	Prec@1 52.500 (54.674)	Prec@5 83.000 (83.563)
Epoch: [71][4800/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 1.9311 (1.6960)	Prec@1 47.500 (54.670)	Prec@5 81.500 (83.561)
Epoch: [71][4810/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 1.8386 (1.6960)	Prec@1 52.000 (54.670)	Prec@5 80.000 (83.559)
Epoch: [71][4820/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 1.8706 (1.6960)	Prec@1 51.000 (54.668)	Prec@5 75.500 (83.556)
Epoch: [71][4830/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 1.7852 (1.6960)	Prec@1 53.000 (54.667)	Prec@5 84.000 (83.556)
Epoch: [71][4840/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 2.0448 (1.6961)	Prec@1 47.000 (54.664)	Prec@5 81.000 (83.558)
Epoch: [71][4850/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.5828 (1.6961)	Prec@1 54.000 (54.664)	Prec@5 85.000 (83.557)
Epoch: [71][4860/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 1.6308 (1.6962)	Prec@1 54.000 (54.664)	Prec@5 85.500 (83.554)
Epoch: [71][4870/9018]	Time 0.632 (0.616)	Data 0.001 (0.003)	Loss 1.7588 (1.6962)	Prec@1 51.000 (54.662)	Prec@5 81.500 (83.551)
Epoch: [71][4880/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 1.6379 (1.6961)	Prec@1 59.000 (54.666)	Prec@5 84.500 (83.552)
Epoch: [71][4890/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 1.6795 (1.6961)	Prec@1 54.000 (54.669)	Prec@5 78.000 (83.549)
Epoch: [71][4900/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.5916 (1.6960)	Prec@1 57.500 (54.676)	Prec@5 84.500 (83.551)
Epoch: [71][4910/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.7366 (1.6960)	Prec@1 55.500 (54.680)	Prec@5 83.000 (83.552)
Epoch: [71][4920/9018]	Time 0.615 (0.616)	Data 0.009 (0.003)	Loss 1.5063 (1.6959)	Prec@1 57.500 (54.680)	Prec@5 87.000 (83.551)
Epoch: [71][4930/9018]	Time 0.733 (0.616)	Data 0.001 (0.003)	Loss 1.6688 (1.6960)	Prec@1 55.500 (54.681)	Prec@5 82.000 (83.549)
Epoch: [71][4940/9018]	Time 0.606 (0.616)	Data 0.003 (0.003)	Loss 1.5583 (1.6959)	Prec@1 58.500 (54.683)	Prec@5 86.000 (83.550)
Epoch: [71][4950/9018]	Time 0.605 (0.616)	Data 0.017 (0.003)	Loss 1.6410 (1.6959)	Prec@1 54.000 (54.682)	Prec@5 83.500 (83.550)
Epoch: [71][4960/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.7516 (1.6958)	Prec@1 53.500 (54.685)	Prec@5 83.500 (83.553)
Epoch: [71][4970/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 1.7202 (1.6958)	Prec@1 52.500 (54.684)	Prec@5 82.500 (83.551)
Epoch: [71][4980/9018]	Time 0.765 (0.616)	Data 0.001 (0.003)	Loss 1.6929 (1.6958)	Prec@1 53.500 (54.682)	Prec@5 84.500 (83.551)
Epoch: [71][4990/9018]	Time 0.616 (0.616)	Data 0.001 (0.003)	Loss 1.6821 (1.6957)	Prec@1 53.000 (54.683)	Prec@5 84.000 (83.551)
Epoch: [71][5000/9018]	Time 0.616 (0.616)	Data 0.001 (0.003)	Loss 1.7026 (1.6957)	Prec@1 50.500 (54.682)	Prec@5 87.000 (83.553)
Epoch: [71][5010/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 1.7314 (1.6956)	Prec@1 54.000 (54.684)	Prec@5 84.000 (83.555)
Epoch: [71][5020/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.7144 (1.6956)	Prec@1 54.000 (54.681)	Prec@5 83.000 (83.557)
Epoch: [71][5030/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.6976 (1.6956)	Prec@1 55.500 (54.680)	Prec@5 83.500 (83.554)
Epoch: [71][5040/9018]	Time 0.622 (0.616)	Data 0.004 (0.003)	Loss 1.7481 (1.6955)	Prec@1 56.000 (54.679)	Prec@5 82.000 (83.556)
Epoch: [71][5050/9018]	Time 0.629 (0.616)	Data 0.001 (0.003)	Loss 1.7287 (1.6956)	Prec@1 48.000 (54.676)	Prec@5 85.000 (83.555)
Epoch: [71][5060/9018]	Time 0.614 (0.616)	Data 0.015 (0.003)	Loss 1.9535 (1.6956)	Prec@1 50.500 (54.678)	Prec@5 80.000 (83.555)
Epoch: [71][5070/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 1.6474 (1.6956)	Prec@1 61.500 (54.679)	Prec@5 83.000 (83.553)
Epoch: [71][5080/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.6411 (1.6955)	Prec@1 55.500 (54.681)	Prec@5 84.500 (83.554)
Epoch: [71][5090/9018]	Time 0.641 (0.616)	Data 0.001 (0.003)	Loss 1.8718 (1.6955)	Prec@1 48.500 (54.681)	Prec@5 80.500 (83.555)
Epoch: [71][5100/9018]	Time 0.625 (0.616)	Data 0.013 (0.003)	Loss 1.6657 (1.6955)	Prec@1 55.500 (54.682)	Prec@5 80.000 (83.554)
Epoch: [71][5110/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.8766 (1.6955)	Prec@1 55.000 (54.682)	Prec@5 78.500 (83.556)
Epoch: [71][5120/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 1.6459 (1.6955)	Prec@1 53.000 (54.681)	Prec@5 85.000 (83.557)
Epoch: [71][5130/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 1.8323 (1.6955)	Prec@1 52.500 (54.681)	Prec@5 81.500 (83.557)
Epoch: [71][5140/9018]	Time 0.615 (0.616)	Data 0.017 (0.003)	Loss 1.7375 (1.6956)	Prec@1 50.000 (54.679)	Prec@5 85.500 (83.556)
Epoch: [71][5150/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.7999 (1.6956)	Prec@1 52.500 (54.678)	Prec@5 80.000 (83.555)
Epoch: [71][5160/9018]	Time 0.595 (0.616)	Data 0.014 (0.003)	Loss 1.5201 (1.6957)	Prec@1 58.500 (54.676)	Prec@5 86.000 (83.553)
Epoch: [71][5170/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 1.7650 (1.6956)	Prec@1 56.000 (54.675)	Prec@5 82.500 (83.556)
Epoch: [71][5180/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.8241 (1.6958)	Prec@1 55.000 (54.673)	Prec@5 82.000 (83.556)
Epoch: [71][5190/9018]	Time 0.636 (0.616)	Data 0.004 (0.003)	Loss 1.6904 (1.6958)	Prec@1 56.500 (54.674)	Prec@5 81.000 (83.556)
Epoch: [71][5200/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.7229 (1.6959)	Prec@1 56.500 (54.673)	Prec@5 86.500 (83.554)
Epoch: [71][5210/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 1.7449 (1.6959)	Prec@1 53.500 (54.675)	Prec@5 85.500 (83.556)
Epoch: [71][5220/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 1.6219 (1.6959)	Prec@1 58.500 (54.676)	Prec@5 85.000 (83.554)
Epoch: [71][5230/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.5376 (1.6958)	Prec@1 54.500 (54.675)	Prec@5 86.500 (83.557)
Epoch: [71][5240/9018]	Time 0.614 (0.616)	Data 0.014 (0.003)	Loss 1.8541 (1.6958)	Prec@1 53.500 (54.675)	Prec@5 79.500 (83.556)
Epoch: [71][5250/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.6767 (1.6959)	Prec@1 57.000 (54.675)	Prec@5 84.500 (83.555)
Epoch: [71][5260/9018]	Time 0.753 (0.616)	Data 0.001 (0.003)	Loss 1.8003 (1.6959)	Prec@1 57.500 (54.676)	Prec@5 79.000 (83.555)
Epoch: [71][5270/9018]	Time 0.641 (0.616)	Data 0.001 (0.003)	Loss 1.7671 (1.6959)	Prec@1 49.000 (54.675)	Prec@5 83.000 (83.555)
Epoch: [71][5280/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.8232 (1.6961)	Prec@1 54.500 (54.672)	Prec@5 81.500 (83.550)
Epoch: [71][5290/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 1.6929 (1.6960)	Prec@1 56.500 (54.673)	Prec@5 85.000 (83.551)
Epoch: [71][5300/9018]	Time 0.609 (0.616)	Data 0.014 (0.003)	Loss 1.6850 (1.6960)	Prec@1 54.000 (54.674)	Prec@5 84.500 (83.551)
Epoch: [71][5310/9018]	Time 0.726 (0.616)	Data 0.013 (0.003)	Loss 1.5818 (1.6960)	Prec@1 58.000 (54.675)	Prec@5 85.000 (83.551)
Epoch: [71][5320/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 1.8262 (1.6960)	Prec@1 51.500 (54.672)	Prec@5 82.500 (83.550)
Epoch: [71][5330/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 1.6845 (1.6960)	Prec@1 53.500 (54.671)	Prec@5 82.500 (83.550)
Epoch: [71][5340/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.9623 (1.6961)	Prec@1 54.000 (54.670)	Prec@5 77.500 (83.549)
Epoch: [71][5350/9018]	Time 0.622 (0.616)	Data 0.001 (0.003)	Loss 1.9564 (1.6961)	Prec@1 49.000 (54.668)	Prec@5 79.500 (83.546)
Epoch: [71][5360/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 1.8315 (1.6963)	Prec@1 53.000 (54.668)	Prec@5 81.000 (83.542)
Epoch: [71][5370/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 1.8039 (1.6962)	Prec@1 53.000 (54.669)	Prec@5 81.000 (83.543)
Epoch: [71][5380/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 1.9072 (1.6962)	Prec@1 51.000 (54.668)	Prec@5 84.000 (83.544)
Epoch: [71][5390/9018]	Time 0.618 (0.616)	Data 0.002 (0.003)	Loss 1.6691 (1.6963)	Prec@1 53.500 (54.668)	Prec@5 87.500 (83.544)
Epoch: [71][5400/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 1.6403 (1.6964)	Prec@1 60.000 (54.666)	Prec@5 84.000 (83.543)
Epoch: [71][5410/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 1.7667 (1.6966)	Prec@1 52.000 (54.662)	Prec@5 81.000 (83.542)
Epoch: [71][5420/9018]	Time 0.637 (0.616)	Data 0.001 (0.003)	Loss 1.5956 (1.6966)	Prec@1 57.000 (54.662)	Prec@5 87.500 (83.542)
Epoch: [71][5430/9018]	Time 0.636 (0.616)	Data 0.013 (0.003)	Loss 1.5382 (1.6966)	Prec@1 60.000 (54.664)	Prec@5 86.500 (83.543)
Epoch: [71][5440/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.7493 (1.6968)	Prec@1 53.000 (54.662)	Prec@5 86.000 (83.541)
Epoch: [71][5450/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 1.4730 (1.6969)	Prec@1 60.000 (54.658)	Prec@5 88.000 (83.539)
Epoch: [71][5460/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 1.7115 (1.6969)	Prec@1 52.500 (54.658)	Prec@5 82.000 (83.539)
Epoch: [71][5470/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 1.7923 (1.6969)	Prec@1 50.500 (54.656)	Prec@5 80.000 (83.540)
Epoch: [71][5480/9018]	Time 0.609 (0.616)	Data 0.008 (0.003)	Loss 1.6617 (1.6969)	Prec@1 57.000 (54.656)	Prec@5 84.500 (83.539)
Epoch: [71][5490/9018]	Time 0.624 (0.616)	Data 0.015 (0.003)	Loss 1.6410 (1.6969)	Prec@1 53.000 (54.657)	Prec@5 84.000 (83.540)
Epoch: [71][5500/9018]	Time 0.626 (0.616)	Data 0.001 (0.003)	Loss 1.6841 (1.6969)	Prec@1 53.500 (54.657)	Prec@5 83.500 (83.540)
Epoch: [71][5510/9018]	Time 0.641 (0.616)	Data 0.001 (0.003)	Loss 1.5910 (1.6969)	Prec@1 60.500 (54.657)	Prec@5 83.000 (83.539)
Epoch: [71][5520/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.5801 (1.6970)	Prec@1 58.000 (54.656)	Prec@5 82.500 (83.537)
Epoch: [71][5530/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 1.8663 (1.6970)	Prec@1 51.000 (54.658)	Prec@5 80.000 (83.536)
Epoch: [71][5540/9018]	Time 0.618 (0.616)	Data 0.015 (0.003)	Loss 1.6139 (1.6970)	Prec@1 59.500 (54.661)	Prec@5 83.500 (83.537)
Epoch: [71][5550/9018]	Time 0.636 (0.616)	Data 0.001 (0.003)	Loss 1.6559 (1.6971)	Prec@1 53.500 (54.659)	Prec@5 85.500 (83.536)
Epoch: [71][5560/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 1.7942 (1.6969)	Prec@1 54.500 (54.664)	Prec@5 81.000 (83.537)
Epoch: [71][5570/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 1.7497 (1.6969)	Prec@1 55.500 (54.666)	Prec@5 82.000 (83.537)
Epoch: [71][5580/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 1.5722 (1.6969)	Prec@1 57.500 (54.665)	Prec@5 85.500 (83.536)
Epoch: [71][5590/9018]	Time 0.723 (0.616)	Data 0.001 (0.003)	Loss 1.7444 (1.6970)	Prec@1 53.500 (54.665)	Prec@5 83.000 (83.535)
Epoch: [71][5600/9018]	Time 0.629 (0.616)	Data 0.001 (0.003)	Loss 1.4582 (1.6969)	Prec@1 62.000 (54.666)	Prec@5 87.000 (83.536)
Epoch: [71][5610/9018]	Time 0.628 (0.616)	Data 0.001 (0.003)	Loss 1.7895 (1.6970)	Prec@1 51.500 (54.661)	Prec@5 85.500 (83.533)
Epoch: [71][5620/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.9545 (1.6971)	Prec@1 49.500 (54.663)	Prec@5 79.500 (83.530)
Epoch: [71][5630/9018]	Time 0.598 (0.616)	Data 0.016 (0.003)	Loss 1.6536 (1.6971)	Prec@1 56.000 (54.665)	Prec@5 82.000 (83.529)
Epoch: [71][5640/9018]	Time 0.778 (0.616)	Data 0.001 (0.003)	Loss 1.6940 (1.6972)	Prec@1 52.000 (54.662)	Prec@5 85.500 (83.528)
Epoch: [71][5650/9018]	Time 0.626 (0.616)	Data 0.001 (0.003)	Loss 1.8864 (1.6972)	Prec@1 51.000 (54.662)	Prec@5 79.000 (83.526)
Epoch: [71][5660/9018]	Time 0.617 (0.616)	Data 0.014 (0.003)	Loss 1.7583 (1.6972)	Prec@1 48.500 (54.661)	Prec@5 80.500 (83.527)
Epoch: [71][5670/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 1.7617 (1.6973)	Prec@1 50.500 (54.659)	Prec@5 81.500 (83.524)
Epoch: [71][5680/9018]	Time 0.611 (0.616)	Data 0.001 (0.003)	Loss 1.5328 (1.6973)	Prec@1 58.000 (54.659)	Prec@5 84.000 (83.524)
Epoch: [71][5690/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.5928 (1.6972)	Prec@1 55.500 (54.663)	Prec@5 88.000 (83.526)
Epoch: [71][5700/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.8202 (1.6972)	Prec@1 54.000 (54.661)	Prec@5 84.000 (83.527)
Epoch: [71][5710/9018]	Time 0.605 (0.616)	Data 0.002 (0.003)	Loss 1.6854 (1.6970)	Prec@1 52.500 (54.664)	Prec@5 84.500 (83.529)
Epoch: [71][5720/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.9050 (1.6971)	Prec@1 50.000 (54.662)	Prec@5 81.000 (83.527)
Epoch: [71][5730/9018]	Time 0.615 (0.616)	Data 0.007 (0.003)	Loss 1.7364 (1.6971)	Prec@1 54.500 (54.660)	Prec@5 82.000 (83.527)
Epoch: [71][5740/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.6753 (1.6971)	Prec@1 51.000 (54.660)	Prec@5 88.000 (83.529)
Epoch: [71][5750/9018]	Time 0.621 (0.616)	Data 0.013 (0.003)	Loss 1.8616 (1.6970)	Prec@1 52.500 (54.662)	Prec@5 81.500 (83.530)
Epoch: [71][5760/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 1.7042 (1.6971)	Prec@1 54.500 (54.663)	Prec@5 84.000 (83.529)
Epoch: [71][5770/9018]	Time 0.617 (0.616)	Data 0.015 (0.003)	Loss 1.7613 (1.6971)	Prec@1 55.000 (54.663)	Prec@5 79.500 (83.527)
Epoch: [71][5780/9018]	Time 0.617 (0.616)	Data 0.003 (0.003)	Loss 1.8226 (1.6971)	Prec@1 55.500 (54.662)	Prec@5 83.000 (83.527)
Epoch: [71][5790/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.6318 (1.6971)	Prec@1 51.500 (54.661)	Prec@5 87.500 (83.529)
Epoch: [71][5800/9018]	Time 0.653 (0.616)	Data 0.011 (0.003)	Loss 1.5555 (1.6971)	Prec@1 59.500 (54.661)	Prec@5 86.000 (83.527)
Epoch: [71][5810/9018]	Time 0.619 (0.616)	Data 0.016 (0.003)	Loss 1.8414 (1.6972)	Prec@1 52.000 (54.663)	Prec@5 82.000 (83.527)
Epoch: [71][5820/9018]	Time 0.632 (0.616)	Data 0.001 (0.003)	Loss 1.6257 (1.6971)	Prec@1 61.000 (54.663)	Prec@5 82.000 (83.528)
Epoch: [71][5830/9018]	Time 0.625 (0.616)	Data 0.001 (0.003)	Loss 1.5738 (1.6972)	Prec@1 57.500 (54.661)	Prec@5 84.000 (83.527)
Epoch: [71][5840/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 1.9207 (1.6973)	Prec@1 54.000 (54.659)	Prec@5 78.000 (83.526)
Epoch: [71][5850/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.7251 (1.6973)	Prec@1 51.000 (54.658)	Prec@5 87.000 (83.526)
Epoch: [71][5860/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 1.6625 (1.6973)	Prec@1 54.500 (54.659)	Prec@5 86.000 (83.526)
Epoch: [71][5870/9018]	Time 0.634 (0.616)	Data 0.001 (0.003)	Loss 1.6643 (1.6974)	Prec@1 54.500 (54.657)	Prec@5 83.500 (83.525)
Epoch: [71][5880/9018]	Time 0.616 (0.616)	Data 0.001 (0.003)	Loss 1.6390 (1.6974)	Prec@1 57.000 (54.656)	Prec@5 85.000 (83.526)
Epoch: [71][5890/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.5389 (1.6975)	Prec@1 59.000 (54.653)	Prec@5 84.500 (83.523)
Epoch: [71][5900/9018]	Time 0.622 (0.616)	Data 0.001 (0.003)	Loss 1.7886 (1.6975)	Prec@1 51.500 (54.651)	Prec@5 80.500 (83.522)
Epoch: [71][5910/9018]	Time 0.609 (0.616)	Data 0.001 (0.003)	Loss 1.5800 (1.6975)	Prec@1 58.500 (54.650)	Prec@5 85.000 (83.523)
Epoch: [71][5920/9018]	Time 0.733 (0.616)	Data 0.001 (0.003)	Loss 1.5412 (1.6975)	Prec@1 57.000 (54.649)	Prec@5 86.000 (83.524)
Epoch: [71][5930/9018]	Time 0.591 (0.616)	Data 0.001 (0.003)	Loss 1.8885 (1.6975)	Prec@1 52.000 (54.649)	Prec@5 82.500 (83.525)
Epoch: [71][5940/9018]	Time 0.598 (0.616)	Data 0.017 (0.003)	Loss 1.7082 (1.6975)	Prec@1 52.000 (54.649)	Prec@5 85.000 (83.524)
Epoch: [71][5950/9018]	Time 0.641 (0.616)	Data 0.001 (0.003)	Loss 1.8444 (1.6976)	Prec@1 55.500 (54.648)	Prec@5 80.500 (83.522)
Epoch: [71][5960/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 1.6066 (1.6976)	Prec@1 57.000 (54.647)	Prec@5 85.000 (83.521)
Epoch: [71][5970/9018]	Time 0.786 (0.616)	Data 0.001 (0.003)	Loss 1.7720 (1.6977)	Prec@1 52.500 (54.645)	Prec@5 83.000 (83.520)
Epoch: [71][5980/9018]	Time 0.623 (0.616)	Data 0.005 (0.003)	Loss 1.6598 (1.6977)	Prec@1 54.500 (54.645)	Prec@5 84.500 (83.519)
Epoch: [71][5990/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 1.7064 (1.6977)	Prec@1 53.500 (54.643)	Prec@5 87.500 (83.522)
Epoch: [71][6000/9018]	Time 0.631 (0.616)	Data 0.001 (0.003)	Loss 1.7306 (1.6976)	Prec@1 48.000 (54.645)	Prec@5 87.500 (83.522)
Epoch: [71][6010/9018]	Time 0.618 (0.616)	Data 0.001 (0.003)	Loss 1.6920 (1.6977)	Prec@1 54.000 (54.645)	Prec@5 83.500 (83.520)
Epoch: [71][6020/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.5634 (1.6976)	Prec@1 57.500 (54.647)	Prec@5 87.000 (83.522)
Epoch: [71][6030/9018]	Time 0.591 (0.616)	Data 0.001 (0.003)	Loss 1.6237 (1.6975)	Prec@1 56.500 (54.650)	Prec@5 83.000 (83.522)
Epoch: [71][6040/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.6241 (1.6976)	Prec@1 57.000 (54.647)	Prec@5 84.000 (83.521)
Epoch: [71][6050/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 1.7341 (1.6975)	Prec@1 51.000 (54.648)	Prec@5 83.000 (83.523)
Epoch: [71][6060/9018]	Time 0.629 (0.616)	Data 0.001 (0.003)	Loss 1.7745 (1.6976)	Prec@1 53.500 (54.647)	Prec@5 83.000 (83.523)
Epoch: [71][6070/9018]	Time 0.639 (0.616)	Data 0.001 (0.003)	Loss 1.7289 (1.6976)	Prec@1 51.000 (54.646)	Prec@5 83.500 (83.523)
Epoch: [71][6080/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.6718 (1.6976)	Prec@1 56.000 (54.647)	Prec@5 81.000 (83.523)
Epoch: [71][6090/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 1.9080 (1.6977)	Prec@1 49.000 (54.645)	Prec@5 79.000 (83.522)
Epoch: [71][6100/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.8211 (1.6977)	Prec@1 51.000 (54.645)	Prec@5 83.500 (83.522)
Epoch: [71][6110/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.6641 (1.6977)	Prec@1 55.000 (54.647)	Prec@5 85.500 (83.523)
Epoch: [71][6120/9018]	Time 0.614 (0.616)	Data 0.001 (0.003)	Loss 1.8117 (1.6977)	Prec@1 53.000 (54.645)	Prec@5 82.500 (83.523)
Epoch: [71][6130/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 1.7186 (1.6978)	Prec@1 55.000 (54.642)	Prec@5 85.000 (83.523)
Epoch: [71][6140/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 1.7859 (1.6979)	Prec@1 53.000 (54.639)	Prec@5 83.500 (83.523)
Epoch: [71][6150/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.8365 (1.6980)	Prec@1 57.000 (54.635)	Prec@5 79.500 (83.521)
Epoch: [71][6160/9018]	Time 0.589 (0.616)	Data 0.001 (0.003)	Loss 1.7373 (1.6981)	Prec@1 54.500 (54.632)	Prec@5 85.000 (83.521)
Epoch: [71][6170/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.8461 (1.6981)	Prec@1 51.500 (54.632)	Prec@5 81.000 (83.521)
Epoch: [71][6180/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.8082 (1.6981)	Prec@1 49.500 (54.629)	Prec@5 82.000 (83.520)
Epoch: [71][6190/9018]	Time 0.650 (0.617)	Data 0.001 (0.003)	Loss 1.5382 (1.6981)	Prec@1 56.500 (54.631)	Prec@5 86.500 (83.520)
Epoch: [71][6200/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 1.7999 (1.6981)	Prec@1 49.000 (54.629)	Prec@5 82.000 (83.520)
Epoch: [71][6210/9018]	Time 0.600 (0.617)	Data 0.003 (0.003)	Loss 1.4478 (1.6982)	Prec@1 60.500 (54.628)	Prec@5 85.500 (83.518)
Epoch: [71][6220/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 1.7729 (1.6982)	Prec@1 50.000 (54.626)	Prec@5 81.000 (83.518)
Epoch: [71][6230/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 1.8261 (1.6982)	Prec@1 48.500 (54.624)	Prec@5 80.000 (83.517)
Epoch: [71][6240/9018]	Time 0.620 (0.617)	Data 0.001 (0.003)	Loss 1.7770 (1.6981)	Prec@1 58.500 (54.624)	Prec@5 82.000 (83.520)
Epoch: [71][6250/9018]	Time 0.757 (0.617)	Data 0.001 (0.003)	Loss 1.6390 (1.6982)	Prec@1 54.000 (54.622)	Prec@5 84.500 (83.518)
Epoch: [71][6260/9018]	Time 0.633 (0.617)	Data 0.001 (0.003)	Loss 1.7936 (1.6982)	Prec@1 52.500 (54.621)	Prec@5 82.000 (83.518)
Epoch: [71][6270/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 1.7826 (1.6982)	Prec@1 53.000 (54.620)	Prec@5 83.000 (83.517)
Epoch: [71][6280/9018]	Time 0.603 (0.617)	Data 0.012 (0.003)	Loss 1.7431 (1.6983)	Prec@1 53.500 (54.619)	Prec@5 82.000 (83.515)
Epoch: [71][6290/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 1.7500 (1.6983)	Prec@1 50.500 (54.619)	Prec@5 84.500 (83.516)
Epoch: [71][6300/9018]	Time 0.785 (0.617)	Data 0.001 (0.003)	Loss 1.7092 (1.6982)	Prec@1 55.000 (54.620)	Prec@5 83.000 (83.517)
Epoch: [71][6310/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 1.5495 (1.6981)	Prec@1 60.500 (54.624)	Prec@5 86.500 (83.518)
Epoch: [71][6320/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 1.7059 (1.6981)	Prec@1 51.500 (54.624)	Prec@5 85.000 (83.518)
Epoch: [71][6330/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 1.7280 (1.6981)	Prec@1 56.000 (54.625)	Prec@5 81.500 (83.518)
Epoch: [71][6340/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 1.6784 (1.6981)	Prec@1 52.500 (54.624)	Prec@5 84.000 (83.519)
Epoch: [71][6350/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 1.5779 (1.6981)	Prec@1 55.000 (54.624)	Prec@5 86.000 (83.520)
Epoch: [71][6360/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 1.7159 (1.6981)	Prec@1 52.000 (54.623)	Prec@5 83.000 (83.520)
Epoch: [71][6370/9018]	Time 0.608 (0.617)	Data 0.002 (0.003)	Loss 1.7010 (1.6981)	Prec@1 53.000 (54.625)	Prec@5 85.000 (83.520)
Epoch: [71][6380/9018]	Time 0.626 (0.617)	Data 0.017 (0.003)	Loss 1.7028 (1.6981)	Prec@1 55.000 (54.624)	Prec@5 83.000 (83.521)
Epoch: [71][6390/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 1.6459 (1.6981)	Prec@1 56.500 (54.626)	Prec@5 81.500 (83.520)
Epoch: [71][6400/9018]	Time 0.616 (0.617)	Data 0.013 (0.003)	Loss 1.6988 (1.6980)	Prec@1 55.500 (54.626)	Prec@5 84.500 (83.521)
Epoch: [71][6410/9018]	Time 0.599 (0.617)	Data 0.015 (0.003)	Loss 1.4236 (1.6980)	Prec@1 61.000 (54.628)	Prec@5 86.500 (83.520)
Epoch: [71][6420/9018]	Time 0.613 (0.617)	Data 0.012 (0.003)	Loss 1.6491 (1.6980)	Prec@1 56.000 (54.628)	Prec@5 82.500 (83.519)
Epoch: [71][6430/9018]	Time 0.611 (0.617)	Data 0.016 (0.003)	Loss 1.6461 (1.6981)	Prec@1 50.500 (54.625)	Prec@5 88.500 (83.521)
Epoch: [71][6440/9018]	Time 0.618 (0.617)	Data 0.002 (0.003)	Loss 1.7762 (1.6981)	Prec@1 52.000 (54.623)	Prec@5 82.000 (83.521)
Epoch: [71][6450/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 1.6564 (1.6981)	Prec@1 58.000 (54.625)	Prec@5 84.000 (83.520)
Epoch: [71][6460/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 1.7184 (1.6981)	Prec@1 55.500 (54.625)	Prec@5 86.000 (83.522)
Epoch: [71][6470/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 1.8371 (1.6982)	Prec@1 52.000 (54.624)	Prec@5 82.500 (83.522)
Epoch: [71][6480/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 1.7161 (1.6982)	Prec@1 54.500 (54.622)	Prec@5 85.500 (83.521)
Epoch: [71][6490/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 1.8183 (1.6983)	Prec@1 49.000 (54.617)	Prec@5 83.000 (83.521)
Epoch: [71][6500/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 1.7652 (1.6982)	Prec@1 54.000 (54.617)	Prec@5 85.000 (83.523)
Epoch: [71][6510/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 1.8418 (1.6982)	Prec@1 50.500 (54.617)	Prec@5 77.500 (83.524)
Epoch: [71][6520/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 1.5110 (1.6980)	Prec@1 60.000 (54.621)	Prec@5 87.500 (83.527)
Epoch: [71][6530/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 1.7573 (1.6980)	Prec@1 52.000 (54.623)	Prec@5 83.000 (83.527)
Epoch: [71][6540/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 1.4794 (1.6980)	Prec@1 57.500 (54.624)	Prec@5 87.500 (83.526)
Epoch: [71][6550/9018]	Time 0.621 (0.617)	Data 0.001 (0.003)	Loss 1.9239 (1.6980)	Prec@1 50.000 (54.623)	Prec@5 79.500 (83.527)
Epoch: [71][6560/9018]	Time 0.635 (0.617)	Data 0.001 (0.003)	Loss 1.6049 (1.6980)	Prec@1 57.000 (54.622)	Prec@5 84.000 (83.525)
Epoch: [71][6570/9018]	Time 0.644 (0.617)	Data 0.001 (0.003)	Loss 2.0342 (1.6981)	Prec@1 49.500 (54.618)	Prec@5 79.500 (83.522)
Epoch: [71][6580/9018]	Time 0.772 (0.617)	Data 0.001 (0.003)	Loss 1.5305 (1.6981)	Prec@1 57.500 (54.620)	Prec@5 86.000 (83.521)
Epoch: [71][6590/9018]	Time 0.631 (0.617)	Data 0.012 (0.003)	Loss 1.5409 (1.6981)	Prec@1 58.500 (54.622)	Prec@5 88.000 (83.522)
Epoch: [71][6600/9018]	Time 0.627 (0.617)	Data 0.014 (0.003)	Loss 1.5310 (1.6982)	Prec@1 57.000 (54.620)	Prec@5 90.000 (83.522)
Epoch: [71][6610/9018]	Time 0.607 (0.617)	Data 0.014 (0.003)	Loss 1.8550 (1.6982)	Prec@1 51.500 (54.619)	Prec@5 83.000 (83.524)
Epoch: [71][6620/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 1.6398 (1.6982)	Prec@1 53.500 (54.620)	Prec@5 86.000 (83.524)
Epoch: [71][6630/9018]	Time 0.739 (0.617)	Data 0.001 (0.003)	Loss 1.6830 (1.6982)	Prec@1 53.000 (54.621)	Prec@5 85.500 (83.525)
Epoch: [71][6640/9018]	Time 0.592 (0.617)	Data 0.001 (0.003)	Loss 1.6661 (1.6980)	Prec@1 57.000 (54.624)	Prec@5 86.000 (83.528)
Epoch: [71][6650/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.8564 (1.6981)	Prec@1 52.000 (54.622)	Prec@5 82.500 (83.526)
Epoch: [71][6660/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 1.5681 (1.6981)	Prec@1 55.500 (54.622)	Prec@5 85.000 (83.526)
Epoch: [71][6670/9018]	Time 0.617 (0.617)	Data 0.001 (0.003)	Loss 1.8799 (1.6981)	Prec@1 48.000 (54.620)	Prec@5 79.000 (83.525)
Epoch: [71][6680/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 1.6044 (1.6981)	Prec@1 58.500 (54.622)	Prec@5 86.000 (83.526)
Epoch: [71][6690/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 1.4725 (1.6981)	Prec@1 60.500 (54.622)	Prec@5 87.000 (83.526)
Epoch: [71][6700/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.6480 (1.6982)	Prec@1 51.500 (54.620)	Prec@5 85.500 (83.524)
Epoch: [71][6710/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 1.7602 (1.6982)	Prec@1 54.000 (54.621)	Prec@5 82.500 (83.523)
Epoch: [71][6720/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 1.5225 (1.6981)	Prec@1 61.000 (54.622)	Prec@5 85.500 (83.524)
Epoch: [71][6730/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.6091 (1.6982)	Prec@1 54.000 (54.620)	Prec@5 84.500 (83.523)
Epoch: [71][6740/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 1.7459 (1.6983)	Prec@1 55.000 (54.618)	Prec@5 82.500 (83.520)
Epoch: [71][6750/9018]	Time 0.615 (0.617)	Data 0.015 (0.003)	Loss 1.6709 (1.6983)	Prec@1 54.000 (54.620)	Prec@5 84.500 (83.520)
Epoch: [71][6760/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 1.5926 (1.6982)	Prec@1 59.500 (54.622)	Prec@5 87.000 (83.521)
Epoch: [71][6770/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.8128 (1.6982)	Prec@1 53.500 (54.623)	Prec@5 81.500 (83.522)
Epoch: [71][6780/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 1.7660 (1.6981)	Prec@1 54.000 (54.625)	Prec@5 82.500 (83.523)
Epoch: [71][6790/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 1.7741 (1.6981)	Prec@1 47.500 (54.624)	Prec@5 82.000 (83.523)
Epoch: [71][6800/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 1.6645 (1.6980)	Prec@1 58.000 (54.627)	Prec@5 85.000 (83.523)
Epoch: [71][6810/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 1.4592 (1.6980)	Prec@1 66.000 (54.628)	Prec@5 86.000 (83.523)
Epoch: [71][6820/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.8452 (1.6979)	Prec@1 51.000 (54.626)	Prec@5 78.500 (83.523)
Epoch: [71][6830/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 1.4634 (1.6979)	Prec@1 58.500 (54.624)	Prec@5 87.500 (83.522)
Epoch: [71][6840/9018]	Time 0.618 (0.617)	Data 0.001 (0.003)	Loss 1.7734 (1.6981)	Prec@1 51.000 (54.619)	Prec@5 82.000 (83.520)
Epoch: [71][6850/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 1.6583 (1.6980)	Prec@1 58.500 (54.620)	Prec@5 83.500 (83.522)
Epoch: [71][6860/9018]	Time 0.617 (0.617)	Data 0.002 (0.003)	Loss 1.7434 (1.6981)	Prec@1 54.000 (54.617)	Prec@5 82.000 (83.522)
Epoch: [71][6870/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.6190 (1.6981)	Prec@1 60.500 (54.618)	Prec@5 84.500 (83.522)
Epoch: [71][6880/9018]	Time 0.636 (0.617)	Data 0.008 (0.003)	Loss 1.4731 (1.6980)	Prec@1 59.000 (54.619)	Prec@5 84.000 (83.522)
Epoch: [71][6890/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.6593 (1.6980)	Prec@1 54.000 (54.620)	Prec@5 82.500 (83.522)
Epoch: [71][6900/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 1.6106 (1.6979)	Prec@1 56.500 (54.622)	Prec@5 84.500 (83.523)
Epoch: [71][6910/9018]	Time 0.772 (0.617)	Data 0.001 (0.003)	Loss 1.5588 (1.6980)	Prec@1 56.000 (54.622)	Prec@5 85.500 (83.522)
Epoch: [71][6920/9018]	Time 0.603 (0.617)	Data 0.013 (0.003)	Loss 1.6368 (1.6979)	Prec@1 53.500 (54.622)	Prec@5 83.000 (83.521)
Epoch: [71][6930/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 1.9698 (1.6980)	Prec@1 50.000 (54.621)	Prec@5 78.000 (83.521)
Epoch: [71][6940/9018]	Time 0.623 (0.617)	Data 0.012 (0.003)	Loss 1.9120 (1.6980)	Prec@1 45.500 (54.621)	Prec@5 79.500 (83.520)
Epoch: [71][6950/9018]	Time 0.621 (0.617)	Data 0.001 (0.003)	Loss 1.5763 (1.6980)	Prec@1 58.500 (54.620)	Prec@5 84.000 (83.520)
Epoch: [71][6960/9018]	Time 0.747 (0.617)	Data 0.001 (0.003)	Loss 1.8679 (1.6980)	Prec@1 52.500 (54.621)	Prec@5 84.000 (83.521)
Epoch: [71][6970/9018]	Time 0.613 (0.617)	Data 0.005 (0.003)	Loss 1.7928 (1.6981)	Prec@1 58.500 (54.619)	Prec@5 84.000 (83.519)
Epoch: [71][6980/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 1.5253 (1.6980)	Prec@1 54.500 (54.619)	Prec@5 83.000 (83.519)
Epoch: [71][6990/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.7040 (1.6981)	Prec@1 54.000 (54.617)	Prec@5 84.000 (83.518)
Epoch: [71][7000/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 1.6120 (1.6982)	Prec@1 58.000 (54.615)	Prec@5 85.500 (83.516)
Epoch: [71][7010/9018]	Time 0.628 (0.617)	Data 0.001 (0.003)	Loss 1.5448 (1.6982)	Prec@1 59.000 (54.613)	Prec@5 88.000 (83.516)
Epoch: [71][7020/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.7355 (1.6982)	Prec@1 53.500 (54.613)	Prec@5 84.500 (83.517)
Epoch: [71][7030/9018]	Time 0.622 (0.617)	Data 0.001 (0.003)	Loss 1.7066 (1.6982)	Prec@1 53.500 (54.615)	Prec@5 85.000 (83.518)
Epoch: [71][7040/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 1.6107 (1.6982)	Prec@1 56.500 (54.615)	Prec@5 84.000 (83.517)
Epoch: [71][7050/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 2.0325 (1.6983)	Prec@1 48.500 (54.616)	Prec@5 77.000 (83.515)
Epoch: [71][7060/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 1.6735 (1.6984)	Prec@1 55.500 (54.615)	Prec@5 85.500 (83.516)
Epoch: [71][7070/9018]	Time 0.605 (0.617)	Data 0.002 (0.003)	Loss 1.5977 (1.6984)	Prec@1 55.500 (54.615)	Prec@5 85.500 (83.516)
Epoch: [71][7080/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 1.7733 (1.6984)	Prec@1 51.500 (54.616)	Prec@5 78.000 (83.515)
Epoch: [71][7090/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 1.6323 (1.6983)	Prec@1 58.000 (54.616)	Prec@5 82.000 (83.517)
Epoch: [71][7100/9018]	Time 0.632 (0.617)	Data 0.005 (0.003)	Loss 1.8231 (1.6983)	Prec@1 56.000 (54.619)	Prec@5 83.500 (83.519)
Epoch: [71][7110/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 1.5918 (1.6983)	Prec@1 61.500 (54.620)	Prec@5 85.500 (83.519)
Epoch: [71][7120/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 1.6669 (1.6983)	Prec@1 55.000 (54.619)	Prec@5 83.000 (83.518)
Epoch: [71][7130/9018]	Time 0.617 (0.617)	Data 0.009 (0.003)	Loss 1.6951 (1.6983)	Prec@1 59.000 (54.623)	Prec@5 85.000 (83.520)
Epoch: [71][7140/9018]	Time 0.627 (0.617)	Data 0.005 (0.003)	Loss 1.7018 (1.6982)	Prec@1 57.000 (54.624)	Prec@5 84.000 (83.520)
Epoch: [71][7150/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 1.6235 (1.6983)	Prec@1 53.000 (54.623)	Prec@5 85.500 (83.520)
Epoch: [71][7160/9018]	Time 0.614 (0.617)	Data 0.007 (0.003)	Loss 1.8319 (1.6984)	Prec@1 54.500 (54.620)	Prec@5 81.500 (83.517)
Epoch: [71][7170/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 1.6217 (1.6984)	Prec@1 56.000 (54.618)	Prec@5 85.500 (83.517)
Epoch: [71][7180/9018]	Time 0.604 (0.617)	Data 0.015 (0.003)	Loss 1.6222 (1.6984)	Prec@1 59.500 (54.621)	Prec@5 83.000 (83.517)
Epoch: [71][7190/9018]	Time 0.624 (0.617)	Data 0.002 (0.003)	Loss 1.5193 (1.6984)	Prec@1 59.000 (54.621)	Prec@5 85.000 (83.517)
Epoch: [71][7200/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 1.8502 (1.6985)	Prec@1 49.000 (54.619)	Prec@5 80.000 (83.516)
Epoch: [71][7210/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 1.3611 (1.6985)	Prec@1 58.500 (54.617)	Prec@5 89.500 (83.518)
Epoch: [71][7220/9018]	Time 0.627 (0.617)	Data 0.016 (0.003)	Loss 1.6211 (1.6985)	Prec@1 56.500 (54.616)	Prec@5 85.000 (83.517)
Epoch: [71][7230/9018]	Time 0.612 (0.617)	Data 0.014 (0.003)	Loss 1.6254 (1.6985)	Prec@1 56.500 (54.617)	Prec@5 86.000 (83.519)
Epoch: [71][7240/9018]	Time 0.801 (0.617)	Data 0.001 (0.003)	Loss 1.6352 (1.6984)	Prec@1 54.000 (54.620)	Prec@5 86.000 (83.520)
Epoch: [71][7250/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 1.9135 (1.6982)	Prec@1 48.500 (54.622)	Prec@5 79.000 (83.524)
Epoch: [71][7260/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 1.6087 (1.6983)	Prec@1 57.000 (54.623)	Prec@5 87.000 (83.525)
Epoch: [71][7270/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 1.7612 (1.6983)	Prec@1 51.500 (54.621)	Prec@5 81.500 (83.524)
Epoch: [71][7280/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 1.7270 (1.6983)	Prec@1 53.500 (54.622)	Prec@5 81.500 (83.525)
Epoch: [71][7290/9018]	Time 0.761 (0.617)	Data 0.001 (0.003)	Loss 1.6773 (1.6983)	Prec@1 56.000 (54.621)	Prec@5 83.500 (83.523)
Epoch: [71][7300/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 1.6853 (1.6983)	Prec@1 60.000 (54.623)	Prec@5 83.500 (83.523)
Epoch: [71][7310/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 1.7104 (1.6983)	Prec@1 59.000 (54.625)	Prec@5 81.000 (83.522)
Epoch: [71][7320/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.5976 (1.6982)	Prec@1 56.000 (54.626)	Prec@5 83.500 (83.523)
Epoch: [71][7330/9018]	Time 0.628 (0.617)	Data 0.001 (0.003)	Loss 1.8757 (1.6981)	Prec@1 49.500 (54.626)	Prec@5 79.500 (83.524)
Epoch: [71][7340/9018]	Time 0.631 (0.617)	Data 0.009 (0.003)	Loss 1.7726 (1.6981)	Prec@1 54.000 (54.628)	Prec@5 82.000 (83.524)
Epoch: [71][7350/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 1.6929 (1.6980)	Prec@1 56.000 (54.628)	Prec@5 85.000 (83.524)
Epoch: [71][7360/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.7386 (1.6980)	Prec@1 54.500 (54.632)	Prec@5 78.000 (83.524)
Epoch: [71][7370/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 1.8208 (1.6980)	Prec@1 52.000 (54.631)	Prec@5 80.000 (83.523)
Epoch: [71][7380/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 1.6849 (1.6980)	Prec@1 54.500 (54.633)	Prec@5 86.000 (83.523)
Epoch: [71][7390/9018]	Time 0.590 (0.617)	Data 0.001 (0.003)	Loss 1.8090 (1.6979)	Prec@1 51.500 (54.635)	Prec@5 82.500 (83.525)
Epoch: [71][7400/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 1.7974 (1.6979)	Prec@1 51.500 (54.633)	Prec@5 82.000 (83.526)
Epoch: [71][7410/9018]	Time 0.618 (0.617)	Data 0.001 (0.003)	Loss 1.5740 (1.6979)	Prec@1 60.000 (54.635)	Prec@5 86.000 (83.526)
Epoch: [71][7420/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 1.7745 (1.6979)	Prec@1 54.500 (54.636)	Prec@5 80.500 (83.525)
Epoch: [71][7430/9018]	Time 0.619 (0.617)	Data 0.004 (0.003)	Loss 1.9631 (1.6979)	Prec@1 48.000 (54.636)	Prec@5 78.000 (83.525)
Epoch: [71][7440/9018]	Time 0.610 (0.617)	Data 0.001 (0.003)	Loss 1.7685 (1.6980)	Prec@1 54.500 (54.635)	Prec@5 82.500 (83.525)
Epoch: [71][7450/9018]	Time 0.607 (0.617)	Data 0.005 (0.003)	Loss 1.4157 (1.6979)	Prec@1 60.500 (54.635)	Prec@5 89.500 (83.526)
Epoch: [71][7460/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 1.7836 (1.6980)	Prec@1 54.000 (54.633)	Prec@5 81.500 (83.524)
Epoch: [71][7470/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 1.8429 (1.6981)	Prec@1 51.000 (54.631)	Prec@5 81.500 (83.525)
Epoch: [71][7480/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.5837 (1.6981)	Prec@1 59.000 (54.631)	Prec@5 83.500 (83.524)
Epoch: [71][7490/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 1.8241 (1.6981)	Prec@1 47.000 (54.630)	Prec@5 84.000 (83.524)
Epoch: [71][7500/9018]	Time 0.632 (0.617)	Data 0.001 (0.003)	Loss 1.8599 (1.6981)	Prec@1 50.000 (54.630)	Prec@5 79.500 (83.524)
Epoch: [71][7510/9018]	Time 0.634 (0.617)	Data 0.015 (0.003)	Loss 1.7812 (1.6982)	Prec@1 55.000 (54.628)	Prec@5 82.000 (83.522)
Epoch: [71][7520/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 1.7824 (1.6981)	Prec@1 52.000 (54.629)	Prec@5 80.000 (83.524)
Epoch: [71][7530/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 1.7238 (1.6981)	Prec@1 49.500 (54.629)	Prec@5 85.500 (83.526)
Epoch: [71][7540/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.5634 (1.6981)	Prec@1 58.000 (54.631)	Prec@5 86.000 (83.526)
Epoch: [71][7550/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 1.7460 (1.6981)	Prec@1 50.500 (54.630)	Prec@5 80.500 (83.524)
Epoch: [71][7560/9018]	Time 0.621 (0.617)	Data 0.002 (0.003)	Loss 1.6578 (1.6982)	Prec@1 56.000 (54.630)	Prec@5 86.500 (83.523)
Epoch: [71][7570/9018]	Time 0.746 (0.617)	Data 0.001 (0.003)	Loss 1.6738 (1.6981)	Prec@1 56.000 (54.630)	Prec@5 84.500 (83.524)
Epoch: [71][7580/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.6573 (1.6982)	Prec@1 54.500 (54.629)	Prec@5 80.000 (83.524)
Epoch: [71][7590/9018]	Time 0.632 (0.617)	Data 0.001 (0.003)	Loss 1.8392 (1.6982)	Prec@1 50.000 (54.628)	Prec@5 78.500 (83.524)
Epoch: [71][7600/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 2.0503 (1.6983)	Prec@1 45.500 (54.627)	Prec@5 80.000 (83.522)
Epoch: [71][7610/9018]	Time 0.621 (0.617)	Data 0.001 (0.003)	Loss 1.7038 (1.6982)	Prec@1 58.000 (54.628)	Prec@5 82.000 (83.523)
Epoch: [71][7620/9018]	Time 0.776 (0.617)	Data 0.009 (0.003)	Loss 1.8649 (1.6983)	Prec@1 56.000 (54.626)	Prec@5 76.500 (83.521)
Epoch: [71][7630/9018]	Time 0.618 (0.617)	Data 0.001 (0.003)	Loss 1.7191 (1.6983)	Prec@1 54.500 (54.626)	Prec@5 84.500 (83.522)
Epoch: [71][7640/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.6136 (1.6983)	Prec@1 54.000 (54.624)	Prec@5 83.500 (83.521)
Epoch: [71][7650/9018]	Time 0.617 (0.617)	Data 0.001 (0.003)	Loss 1.6896 (1.6984)	Prec@1 58.500 (54.623)	Prec@5 83.000 (83.520)
Epoch: [71][7660/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 1.7286 (1.6984)	Prec@1 53.500 (54.625)	Prec@5 83.000 (83.518)
Epoch: [71][7670/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 1.6955 (1.6984)	Prec@1 51.500 (54.624)	Prec@5 80.500 (83.518)
Epoch: [71][7680/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 1.6044 (1.6984)	Prec@1 57.500 (54.625)	Prec@5 86.000 (83.518)
Epoch: [71][7690/9018]	Time 0.601 (0.617)	Data 0.012 (0.003)	Loss 1.7232 (1.6984)	Prec@1 53.000 (54.626)	Prec@5 83.500 (83.518)
Epoch: [71][7700/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 1.6774 (1.6984)	Prec@1 57.500 (54.627)	Prec@5 83.500 (83.518)
Epoch: [71][7710/9018]	Time 0.615 (0.617)	Data 0.008 (0.003)	Loss 1.6547 (1.6983)	Prec@1 52.000 (54.626)	Prec@5 84.000 (83.518)
Epoch: [71][7720/9018]	Time 0.613 (0.618)	Data 0.011 (0.003)	Loss 1.6106 (1.6983)	Prec@1 54.500 (54.627)	Prec@5 84.000 (83.519)
Epoch: [71][7730/9018]	Time 0.614 (0.617)	Data 0.001 (0.003)	Loss 1.6263 (1.6984)	Prec@1 60.500 (54.628)	Prec@5 84.000 (83.518)
Epoch: [71][7740/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.7342 (1.6983)	Prec@1 52.500 (54.628)	Prec@5 82.500 (83.518)
Epoch: [71][7750/9018]	Time 0.606 (0.617)	Data 0.001 (0.003)	Loss 1.7645 (1.6984)	Prec@1 54.500 (54.627)	Prec@5 83.500 (83.517)
Epoch: [71][7760/9018]	Time 0.587 (0.618)	Data 0.001 (0.003)	Loss 1.7116 (1.6984)	Prec@1 53.000 (54.627)	Prec@5 84.000 (83.518)
Epoch: [71][7770/9018]	Time 0.634 (0.618)	Data 0.001 (0.003)	Loss 1.8389 (1.6984)	Prec@1 48.500 (54.627)	Prec@5 83.500 (83.518)
Epoch: [71][7780/9018]	Time 0.648 (0.618)	Data 0.001 (0.003)	Loss 1.8062 (1.6984)	Prec@1 50.500 (54.629)	Prec@5 83.000 (83.519)
Epoch: [71][7790/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.7122 (1.6984)	Prec@1 59.500 (54.628)	Prec@5 84.000 (83.520)
Epoch: [71][7800/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.7216 (1.6984)	Prec@1 51.000 (54.627)	Prec@5 82.500 (83.519)
Epoch: [71][7810/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.7040 (1.6984)	Prec@1 54.500 (54.625)	Prec@5 83.500 (83.519)
Epoch: [71][7820/9018]	Time 0.620 (0.618)	Data 0.004 (0.003)	Loss 1.6007 (1.6984)	Prec@1 55.500 (54.625)	Prec@5 86.500 (83.519)
Epoch: [71][7830/9018]	Time 0.621 (0.618)	Data 0.001 (0.003)	Loss 1.7657 (1.6984)	Prec@1 54.500 (54.626)	Prec@5 81.500 (83.519)
Epoch: [71][7840/9018]	Time 0.631 (0.618)	Data 0.001 (0.003)	Loss 1.6715 (1.6984)	Prec@1 55.500 (54.626)	Prec@5 83.500 (83.519)
Epoch: [71][7850/9018]	Time 0.611 (0.618)	Data 0.002 (0.003)	Loss 1.5850 (1.6985)	Prec@1 57.500 (54.626)	Prec@5 85.500 (83.520)
Epoch: [71][7860/9018]	Time 0.591 (0.618)	Data 0.001 (0.003)	Loss 1.6940 (1.6985)	Prec@1 54.500 (54.625)	Prec@5 82.500 (83.521)
Epoch: [71][7870/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.6583 (1.6985)	Prec@1 57.000 (54.624)	Prec@5 83.500 (83.520)
Epoch: [71][7880/9018]	Time 0.646 (0.618)	Data 0.001 (0.003)	Loss 1.8871 (1.6986)	Prec@1 50.000 (54.622)	Prec@5 83.000 (83.519)
Epoch: [71][7890/9018]	Time 0.623 (0.618)	Data 0.001 (0.003)	Loss 1.5776 (1.6985)	Prec@1 55.000 (54.625)	Prec@5 84.000 (83.520)
Epoch: [71][7900/9018]	Time 0.754 (0.618)	Data 0.003 (0.003)	Loss 1.7517 (1.6985)	Prec@1 51.000 (54.623)	Prec@5 83.000 (83.522)
Epoch: [71][7910/9018]	Time 0.626 (0.618)	Data 0.001 (0.003)	Loss 1.8187 (1.6985)	Prec@1 50.500 (54.621)	Prec@5 81.500 (83.522)
Epoch: [71][7920/9018]	Time 0.640 (0.618)	Data 0.013 (0.003)	Loss 1.8979 (1.6986)	Prec@1 51.000 (54.621)	Prec@5 82.500 (83.521)
Epoch: [71][7930/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 1.9481 (1.6987)	Prec@1 45.000 (54.616)	Prec@5 79.000 (83.520)
Epoch: [71][7940/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.7763 (1.6987)	Prec@1 51.000 (54.616)	Prec@5 83.500 (83.521)
Epoch: [71][7950/9018]	Time 0.721 (0.618)	Data 0.001 (0.003)	Loss 1.5881 (1.6986)	Prec@1 54.500 (54.618)	Prec@5 86.500 (83.522)
Epoch: [71][7960/9018]	Time 0.627 (0.618)	Data 0.009 (0.003)	Loss 1.8915 (1.6986)	Prec@1 47.000 (54.617)	Prec@5 81.000 (83.522)
Epoch: [71][7970/9018]	Time 0.620 (0.618)	Data 0.027 (0.003)	Loss 1.7191 (1.6986)	Prec@1 55.500 (54.617)	Prec@5 81.000 (83.522)
Epoch: [71][7980/9018]	Time 0.612 (0.618)	Data 0.016 (0.003)	Loss 1.6147 (1.6986)	Prec@1 54.000 (54.618)	Prec@5 85.500 (83.521)
Epoch: [71][7990/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 1.6040 (1.6985)	Prec@1 58.000 (54.622)	Prec@5 84.000 (83.522)
Epoch: [71][8000/9018]	Time 0.639 (0.618)	Data 0.001 (0.003)	Loss 1.7845 (1.6986)	Prec@1 50.000 (54.621)	Prec@5 85.500 (83.522)
Epoch: [71][8010/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 1.7996 (1.6986)	Prec@1 52.500 (54.620)	Prec@5 82.500 (83.522)
Epoch: [71][8020/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.7807 (1.6986)	Prec@1 56.000 (54.620)	Prec@5 83.500 (83.522)
Epoch: [71][8030/9018]	Time 0.627 (0.618)	Data 0.001 (0.003)	Loss 1.7026 (1.6987)	Prec@1 60.000 (54.619)	Prec@5 79.000 (83.519)
Epoch: [71][8040/9018]	Time 0.641 (0.618)	Data 0.001 (0.003)	Loss 1.9074 (1.6987)	Prec@1 52.500 (54.618)	Prec@5 78.500 (83.520)
Epoch: [71][8050/9018]	Time 0.636 (0.618)	Data 0.001 (0.003)	Loss 1.8852 (1.6987)	Prec@1 48.000 (54.617)	Prec@5 80.000 (83.522)
Epoch: [71][8060/9018]	Time 0.609 (0.618)	Data 0.016 (0.003)	Loss 1.7601 (1.6988)	Prec@1 57.000 (54.615)	Prec@5 80.000 (83.520)
Epoch: [71][8070/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.7669 (1.6988)	Prec@1 51.500 (54.614)	Prec@5 83.000 (83.519)
Epoch: [71][8080/9018]	Time 0.619 (0.618)	Data 0.017 (0.003)	Loss 1.7929 (1.6988)	Prec@1 53.500 (54.614)	Prec@5 81.500 (83.520)
Epoch: [71][8090/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 1.7427 (1.6987)	Prec@1 54.000 (54.615)	Prec@5 82.500 (83.520)
Epoch: [71][8100/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 1.6771 (1.6987)	Prec@1 55.000 (54.616)	Prec@5 85.000 (83.521)
Epoch: [71][8110/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 1.6088 (1.6987)	Prec@1 55.500 (54.615)	Prec@5 85.000 (83.522)
Epoch: [71][8120/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.7387 (1.6987)	Prec@1 53.500 (54.614)	Prec@5 81.000 (83.521)
Epoch: [71][8130/9018]	Time 0.614 (0.618)	Data 0.001 (0.003)	Loss 1.7251 (1.6988)	Prec@1 56.000 (54.612)	Prec@5 83.000 (83.521)
Epoch: [71][8140/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 1.8778 (1.6988)	Prec@1 52.500 (54.612)	Prec@5 80.000 (83.522)
Epoch: [71][8150/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.7812 (1.6989)	Prec@1 52.000 (54.609)	Prec@5 81.000 (83.521)
Epoch: [71][8160/9018]	Time 0.621 (0.618)	Data 0.001 (0.003)	Loss 1.8338 (1.6989)	Prec@1 51.500 (54.610)	Prec@5 81.000 (83.521)
Epoch: [71][8170/9018]	Time 0.637 (0.618)	Data 0.007 (0.003)	Loss 1.6887 (1.6989)	Prec@1 54.000 (54.610)	Prec@5 84.500 (83.519)
Epoch: [71][8180/9018]	Time 0.612 (0.618)	Data 0.002 (0.003)	Loss 1.7582 (1.6989)	Prec@1 54.000 (54.610)	Prec@5 79.500 (83.520)
Epoch: [71][8190/9018]	Time 0.604 (0.618)	Data 0.017 (0.003)	Loss 1.5908 (1.6989)	Prec@1 55.000 (54.608)	Prec@5 87.000 (83.518)
Epoch: [71][8200/9018]	Time 0.635 (0.618)	Data 0.001 (0.003)	Loss 1.7212 (1.6989)	Prec@1 52.000 (54.607)	Prec@5 83.500 (83.519)
Epoch: [71][8210/9018]	Time 0.627 (0.618)	Data 0.001 (0.003)	Loss 1.5635 (1.6989)	Prec@1 61.000 (54.608)	Prec@5 84.500 (83.520)
Epoch: [71][8220/9018]	Time 0.641 (0.618)	Data 0.001 (0.003)	Loss 1.6699 (1.6989)	Prec@1 57.500 (54.609)	Prec@5 82.500 (83.521)
Epoch: [71][8230/9018]	Time 0.763 (0.618)	Data 0.001 (0.003)	Loss 1.5686 (1.6989)	Prec@1 57.000 (54.607)	Prec@5 85.000 (83.520)
Epoch: [71][8240/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.6338 (1.6989)	Prec@1 57.000 (54.609)	Prec@5 82.500 (83.520)
Epoch: [71][8250/9018]	Time 0.601 (0.618)	Data 0.009 (0.003)	Loss 1.4637 (1.6989)	Prec@1 56.500 (54.610)	Prec@5 87.000 (83.521)
Epoch: [71][8260/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 1.8342 (1.6989)	Prec@1 52.500 (54.609)	Prec@5 83.000 (83.520)
Epoch: [71][8270/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 1.8744 (1.6989)	Prec@1 49.000 (54.609)	Prec@5 83.000 (83.520)
Epoch: [71][8280/9018]	Time 0.806 (0.618)	Data 0.001 (0.003)	Loss 1.9029 (1.6989)	Prec@1 57.000 (54.611)	Prec@5 80.000 (83.520)
Epoch: [71][8290/9018]	Time 0.623 (0.618)	Data 0.001 (0.003)	Loss 1.6230 (1.6988)	Prec@1 60.000 (54.614)	Prec@5 86.500 (83.521)
Epoch: [71][8300/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 1.6484 (1.6988)	Prec@1 55.000 (54.616)	Prec@5 87.000 (83.522)
Epoch: [71][8310/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.5442 (1.6987)	Prec@1 58.000 (54.616)	Prec@5 86.500 (83.522)
Epoch: [71][8320/9018]	Time 0.587 (0.618)	Data 0.001 (0.003)	Loss 1.6379 (1.6988)	Prec@1 57.000 (54.617)	Prec@5 84.500 (83.523)
Epoch: [71][8330/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 1.6003 (1.6987)	Prec@1 59.000 (54.617)	Prec@5 85.500 (83.523)
Epoch: [71][8340/9018]	Time 0.590 (0.618)	Data 0.001 (0.003)	Loss 1.7844 (1.6988)	Prec@1 46.000 (54.613)	Prec@5 80.500 (83.523)
Epoch: [71][8350/9018]	Time 0.624 (0.618)	Data 0.001 (0.003)	Loss 1.7436 (1.6988)	Prec@1 54.000 (54.612)	Prec@5 84.500 (83.522)
Epoch: [71][8360/9018]	Time 0.626 (0.618)	Data 0.006 (0.003)	Loss 1.8063 (1.6988)	Prec@1 51.500 (54.614)	Prec@5 82.500 (83.523)
Epoch: [71][8370/9018]	Time 0.614 (0.618)	Data 0.002 (0.003)	Loss 1.7930 (1.6988)	Prec@1 50.500 (54.615)	Prec@5 81.000 (83.523)
Epoch: [71][8380/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.7670 (1.6988)	Prec@1 51.500 (54.615)	Prec@5 81.000 (83.521)
Epoch: [71][8390/9018]	Time 0.631 (0.618)	Data 0.001 (0.003)	Loss 1.7650 (1.6988)	Prec@1 55.500 (54.615)	Prec@5 83.000 (83.520)
Epoch: [71][8400/9018]	Time 0.653 (0.618)	Data 0.001 (0.003)	Loss 1.6644 (1.6988)	Prec@1 55.000 (54.616)	Prec@5 83.000 (83.521)
Epoch: [71][8410/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.6627 (1.6988)	Prec@1 61.000 (54.618)	Prec@5 81.000 (83.520)
Epoch: [71][8420/9018]	Time 0.616 (0.618)	Data 0.014 (0.003)	Loss 1.7736 (1.6988)	Prec@1 49.000 (54.618)	Prec@5 84.500 (83.521)
Epoch: [71][8430/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.7378 (1.6988)	Prec@1 52.500 (54.617)	Prec@5 85.500 (83.521)
Epoch: [71][8440/9018]	Time 0.597 (0.618)	Data 0.017 (0.003)	Loss 1.6805 (1.6988)	Prec@1 56.500 (54.618)	Prec@5 81.500 (83.520)
Epoch: [71][8450/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.5631 (1.6988)	Prec@1 60.000 (54.620)	Prec@5 86.000 (83.522)
Epoch: [71][8460/9018]	Time 0.624 (0.618)	Data 0.001 (0.003)	Loss 1.7591 (1.6988)	Prec@1 52.000 (54.619)	Prec@5 81.000 (83.520)
Epoch: [71][8470/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 1.5814 (1.6988)	Prec@1 57.500 (54.619)	Prec@5 85.000 (83.520)
Epoch: [71][8480/9018]	Time 0.640 (0.618)	Data 0.001 (0.003)	Loss 1.5100 (1.6988)	Prec@1 57.500 (54.618)	Prec@5 86.000 (83.519)
Epoch: [71][8490/9018]	Time 0.592 (0.618)	Data 0.001 (0.003)	Loss 1.7519 (1.6988)	Prec@1 54.000 (54.618)	Prec@5 83.000 (83.520)
Epoch: [71][8500/9018]	Time 0.629 (0.618)	Data 0.001 (0.003)	Loss 1.9211 (1.6989)	Prec@1 49.500 (54.617)	Prec@5 80.000 (83.518)
Epoch: [71][8510/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 1.7020 (1.6989)	Prec@1 54.000 (54.615)	Prec@5 84.000 (83.516)
Epoch: [71][8520/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 1.7794 (1.6988)	Prec@1 55.000 (54.617)	Prec@5 82.500 (83.518)
Epoch: [71][8530/9018]	Time 0.611 (0.618)	Data 0.001 (0.003)	Loss 1.7136 (1.6988)	Prec@1 56.500 (54.620)	Prec@5 83.500 (83.518)
Epoch: [71][8540/9018]	Time 0.638 (0.618)	Data 0.017 (0.003)	Loss 1.4956 (1.6988)	Prec@1 60.000 (54.621)	Prec@5 89.500 (83.518)
Epoch: [71][8550/9018]	Time 0.634 (0.618)	Data 0.014 (0.003)	Loss 1.4419 (1.6987)	Prec@1 63.000 (54.622)	Prec@5 89.500 (83.520)
Epoch: [71][8560/9018]	Time 0.759 (0.618)	Data 0.001 (0.003)	Loss 1.6368 (1.6987)	Prec@1 54.000 (54.623)	Prec@5 85.000 (83.520)
Epoch: [71][8570/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 1.6570 (1.6988)	Prec@1 54.000 (54.623)	Prec@5 82.500 (83.519)
Epoch: [71][8580/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 1.5899 (1.6988)	Prec@1 60.000 (54.623)	Prec@5 83.500 (83.520)
Epoch: [71][8590/9018]	Time 0.616 (0.618)	Data 0.016 (0.003)	Loss 1.5180 (1.6988)	Prec@1 61.500 (54.623)	Prec@5 86.000 (83.519)
Epoch: [71][8600/9018]	Time 0.618 (0.618)	Data 0.002 (0.003)	Loss 1.6038 (1.6988)	Prec@1 55.500 (54.625)	Prec@5 83.000 (83.519)
Epoch: [71][8610/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.6553 (1.6987)	Prec@1 56.500 (54.626)	Prec@5 85.000 (83.519)
Epoch: [71][8620/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 1.8229 (1.6988)	Prec@1 49.500 (54.625)	Prec@5 83.000 (83.518)
Epoch: [71][8630/9018]	Time 0.614 (0.618)	Data 0.001 (0.003)	Loss 1.7658 (1.6988)	Prec@1 55.500 (54.624)	Prec@5 84.000 (83.518)
Epoch: [71][8640/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 1.7274 (1.6989)	Prec@1 53.500 (54.623)	Prec@5 84.000 (83.516)
Epoch: [71][8650/9018]	Time 0.628 (0.618)	Data 0.001 (0.003)	Loss 1.6521 (1.6989)	Prec@1 53.000 (54.621)	Prec@5 85.000 (83.515)
Epoch: [71][8660/9018]	Time 0.596 (0.618)	Data 0.004 (0.003)	Loss 1.6951 (1.6989)	Prec@1 51.500 (54.620)	Prec@5 85.500 (83.514)
Epoch: [71][8670/9018]	Time 0.610 (0.618)	Data 0.001 (0.003)	Loss 1.5710 (1.6989)	Prec@1 52.500 (54.621)	Prec@5 87.000 (83.515)
Epoch: [71][8680/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 1.6420 (1.6989)	Prec@1 56.500 (54.622)	Prec@5 83.500 (83.515)
Epoch: [71][8690/9018]	Time 0.614 (0.618)	Data 0.001 (0.003)	Loss 1.5586 (1.6988)	Prec@1 61.000 (54.625)	Prec@5 83.500 (83.516)
Epoch: [71][8700/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 1.7803 (1.6988)	Prec@1 54.500 (54.624)	Prec@5 81.000 (83.515)
Epoch: [71][8710/9018]	Time 0.606 (0.618)	Data 0.013 (0.003)	Loss 1.8594 (1.6989)	Prec@1 53.000 (54.624)	Prec@5 79.500 (83.514)
Epoch: [71][8720/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.6691 (1.6989)	Prec@1 55.000 (54.625)	Prec@5 85.500 (83.514)
Epoch: [71][8730/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.5603 (1.6988)	Prec@1 58.000 (54.625)	Prec@5 86.000 (83.515)
Epoch: [71][8740/9018]	Time 0.621 (0.618)	Data 0.001 (0.003)	Loss 1.5292 (1.6988)	Prec@1 59.500 (54.627)	Prec@5 86.500 (83.516)
Epoch: [71][8750/9018]	Time 0.623 (0.618)	Data 0.017 (0.003)	Loss 1.5263 (1.6987)	Prec@1 59.500 (54.628)	Prec@5 88.000 (83.519)
Epoch: [71][8760/9018]	Time 0.603 (0.618)	Data 0.007 (0.003)	Loss 1.8598 (1.6988)	Prec@1 53.000 (54.626)	Prec@5 82.500 (83.518)
Epoch: [71][8770/9018]	Time 0.613 (0.618)	Data 0.001 (0.003)	Loss 1.6916 (1.6988)	Prec@1 57.000 (54.626)	Prec@5 84.000 (83.516)
Epoch: [71][8780/9018]	Time 0.618 (0.618)	Data 0.011 (0.003)	Loss 1.6590 (1.6988)	Prec@1 56.000 (54.627)	Prec@5 86.500 (83.517)
Epoch: [71][8790/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.7500 (1.6988)	Prec@1 49.500 (54.627)	Prec@5 83.000 (83.516)
Epoch: [71][8800/9018]	Time 0.611 (0.618)	Data 0.001 (0.003)	Loss 1.4632 (1.6989)	Prec@1 59.500 (54.626)	Prec@5 85.500 (83.515)
Epoch: [71][8810/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.7484 (1.6988)	Prec@1 51.000 (54.627)	Prec@5 83.500 (83.516)
Epoch: [71][8820/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.8632 (1.6988)	Prec@1 55.000 (54.627)	Prec@5 79.500 (83.517)
Epoch: [71][8830/9018]	Time 0.613 (0.618)	Data 0.001 (0.003)	Loss 1.7430 (1.6988)	Prec@1 56.500 (54.627)	Prec@5 83.000 (83.517)
Epoch: [71][8840/9018]	Time 0.693 (0.618)	Data 0.001 (0.003)	Loss 1.5832 (1.6988)	Prec@1 58.000 (54.626)	Prec@5 86.000 (83.517)
Epoch: [71][8850/9018]	Time 0.622 (0.618)	Data 0.008 (0.003)	Loss 1.7003 (1.6988)	Prec@1 49.500 (54.627)	Prec@5 82.500 (83.517)
Epoch: [71][8860/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 1.7537 (1.6988)	Prec@1 54.500 (54.626)	Prec@5 81.000 (83.516)
Epoch: [71][8870/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.8676 (1.6988)	Prec@1 51.000 (54.625)	Prec@5 80.500 (83.516)
Epoch: [71][8880/9018]	Time 0.637 (0.618)	Data 0.001 (0.003)	Loss 1.4792 (1.6988)	Prec@1 59.500 (54.625)	Prec@5 87.500 (83.516)
Epoch: [71][8890/9018]	Time 0.767 (0.618)	Data 0.001 (0.003)	Loss 1.8526 (1.6988)	Prec@1 50.500 (54.624)	Prec@5 78.000 (83.516)
Epoch: [71][8900/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 1.5938 (1.6988)	Prec@1 56.500 (54.625)	Prec@5 86.000 (83.516)
Epoch: [71][8910/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.6237 (1.6988)	Prec@1 54.500 (54.624)	Prec@5 85.000 (83.516)
Epoch: [71][8920/9018]	Time 0.592 (0.618)	Data 0.001 (0.003)	Loss 1.8516 (1.6988)	Prec@1 47.500 (54.622)	Prec@5 80.500 (83.515)
Epoch: [71][8930/9018]	Time 0.623 (0.618)	Data 0.004 (0.003)	Loss 1.6241 (1.6987)	Prec@1 55.000 (54.624)	Prec@5 84.500 (83.517)
Epoch: [71][8940/9018]	Time 0.591 (0.618)	Data 0.001 (0.003)	Loss 1.7838 (1.6988)	Prec@1 54.000 (54.622)	Prec@5 80.500 (83.515)
Epoch: [71][8950/9018]	Time 0.612 (0.618)	Data 0.001 (0.003)	Loss 1.8371 (1.6989)	Prec@1 52.000 (54.621)	Prec@5 82.500 (83.513)
Epoch: [71][8960/9018]	Time 0.630 (0.618)	Data 0.020 (0.003)	Loss 1.9282 (1.6990)	Prec@1 53.500 (54.619)	Prec@5 78.500 (83.511)
Epoch: [71][8970/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.8402 (1.6990)	Prec@1 56.000 (54.619)	Prec@5 79.000 (83.511)
Epoch: [71][8980/9018]	Time 0.639 (0.618)	Data 0.001 (0.003)	Loss 1.6155 (1.6989)	Prec@1 54.000 (54.620)	Prec@5 84.500 (83.511)
Epoch: [71][8990/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.7800 (1.6990)	Prec@1 57.000 (54.619)	Prec@5 82.500 (83.510)
Epoch: [71][9000/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.7304 (1.6990)	Prec@1 55.000 (54.617)	Prec@5 88.000 (83.509)
Epoch: [71][9010/9018]	Time 0.609 (0.618)	Data 0.000 (0.003)	Loss 1.5668 (1.6990)	Prec@1 58.500 (54.616)	Prec@5 85.500 (83.508)
Test: [0/183]	Time 1.703 (1.703)	Loss 2.4136 (2.4136)	Prec@1 34.500 (34.500)	Prec@5 72.500 (72.500)
Test: [10/183]	Time 0.198 (0.361)	Loss 1.5102 (1.5987)	Prec@1 63.000 (57.000)	Prec@5 85.500 (86.864)
Test: [20/183]	Time 0.291 (0.291)	Loss 2.0839 (1.5750)	Prec@1 47.000 (57.095)	Prec@5 79.000 (86.524)
Test: [30/183]	Time 0.198 (0.263)	Loss 2.1748 (1.5957)	Prec@1 31.000 (56.097)	Prec@5 81.000 (86.613)
Test: [40/183]	Time 0.195 (0.249)	Loss 2.0409 (1.5914)	Prec@1 43.500 (56.878)	Prec@5 83.500 (86.110)
Test: [50/183]	Time 0.188 (0.240)	Loss 1.5331 (1.5729)	Prec@1 55.500 (57.353)	Prec@5 88.000 (86.225)
Test: [60/183]	Time 0.206 (0.237)	Loss 2.1832 (1.6414)	Prec@1 43.000 (55.336)	Prec@5 74.000 (85.295)
Test: [70/183]	Time 0.240 (0.233)	Loss 1.7107 (1.6285)	Prec@1 52.000 (55.500)	Prec@5 87.500 (85.683)
Test: [80/183]	Time 0.189 (0.229)	Loss 1.3143 (1.6157)	Prec@1 60.500 (55.556)	Prec@5 93.000 (85.846)
Test: [90/183]	Time 0.206 (0.227)	Loss 2.2939 (1.6148)	Prec@1 38.000 (55.665)	Prec@5 72.000 (85.863)
Test: [100/183]	Time 0.218 (0.225)	Loss 0.7466 (1.6138)	Prec@1 76.500 (55.653)	Prec@5 95.000 (85.881)
Test: [110/183]	Time 0.230 (0.225)	Loss 0.6804 (1.6214)	Prec@1 84.500 (55.559)	Prec@5 96.500 (85.802)
Test: [120/183]	Time 0.283 (0.224)	Loss 1.9034 (1.6250)	Prec@1 47.500 (55.364)	Prec@5 78.000 (85.806)
Test: [130/183]	Time 0.219 (0.222)	Loss 3.0342 (1.6341)	Prec@1 18.500 (55.088)	Prec@5 70.500 (85.836)
Test: [140/183]	Time 0.188 (0.221)	Loss 1.4404 (1.6266)	Prec@1 64.500 (55.355)	Prec@5 88.000 (85.950)
Test: [150/183]	Time 0.202 (0.219)	Loss 0.5560 (1.6234)	Prec@1 86.500 (55.573)	Prec@5 99.000 (85.987)
Test: [160/183]	Time 0.206 (0.219)	Loss 1.6433 (1.6208)	Prec@1 53.000 (55.748)	Prec@5 85.000 (86.016)
Test: [170/183]	Time 0.279 (0.219)	Loss 2.1543 (1.6368)	Prec@1 32.500 (55.322)	Prec@5 83.000 (85.813)
Test: [180/183]	Time 0.177 (0.217)	Loss 2.0066 (1.6440)	Prec@1 46.000 (55.251)	Prec@5 81.500 (85.677)
 * Prec@1 55.219 Prec@5 85.655
Epoch: [72][0/9018]	Time 3.390 (3.390)	Data 2.689 (2.689)	Loss 1.7267 (1.7267)	Prec@1 53.000 (53.000)	Prec@5 79.000 (79.000)
Epoch: [72][10/9018]	Time 0.603 (0.881)	Data 0.001 (0.246)	Loss 1.5700 (1.6521)	Prec@1 59.500 (55.136)	Prec@5 82.500 (83.182)
Epoch: [72][20/9018]	Time 0.770 (0.759)	Data 0.001 (0.129)	Loss 1.6903 (1.7014)	Prec@1 53.500 (54.524)	Prec@5 85.000 (83.286)
Epoch: [72][30/9018]	Time 0.589 (0.708)	Data 0.001 (0.088)	Loss 1.6783 (1.6853)	Prec@1 55.500 (55.081)	Prec@5 83.500 (83.806)
Epoch: [72][40/9018]	Time 0.601 (0.686)	Data 0.001 (0.067)	Loss 1.7261 (1.6831)	Prec@1 51.500 (54.902)	Prec@5 86.000 (83.854)
Epoch: [72][50/9018]	Time 0.595 (0.670)	Data 0.001 (0.055)	Loss 1.7563 (1.6726)	Prec@1 53.000 (55.039)	Prec@5 84.000 (84.029)
Epoch: [72][60/9018]	Time 0.618 (0.663)	Data 0.007 (0.046)	Loss 1.7471 (1.6726)	Prec@1 53.500 (55.238)	Prec@5 84.500 (84.074)
Epoch: [72][70/9018]	Time 0.629 (0.657)	Data 0.001 (0.040)	Loss 1.7263 (1.6754)	Prec@1 50.500 (55.134)	Prec@5 82.500 (83.972)
Epoch: [72][80/9018]	Time 0.613 (0.652)	Data 0.001 (0.035)	Loss 1.7021 (1.6785)	Prec@1 55.000 (54.864)	Prec@5 82.500 (83.981)
Epoch: [72][90/9018]	Time 0.602 (0.650)	Data 0.014 (0.032)	Loss 1.9805 (1.6835)	Prec@1 44.500 (54.896)	Prec@5 78.000 (83.879)
Epoch: [72][100/9018]	Time 0.604 (0.647)	Data 0.001 (0.029)	Loss 1.6899 (1.6798)	Prec@1 56.500 (54.980)	Prec@5 82.000 (83.871)
Epoch: [72][110/9018]	Time 0.595 (0.645)	Data 0.001 (0.027)	Loss 1.8467 (1.6784)	Prec@1 56.500 (54.977)	Prec@5 78.000 (83.869)
Epoch: [72][120/9018]	Time 0.603 (0.642)	Data 0.001 (0.025)	Loss 1.3699 (1.6706)	Prec@1 62.500 (55.165)	Prec@5 87.000 (83.967)
Epoch: [72][130/9018]	Time 0.627 (0.640)	Data 0.001 (0.023)	Loss 1.6217 (1.6695)	Prec@1 59.500 (55.286)	Prec@5 86.500 (83.954)
Epoch: [72][140/9018]	Time 0.622 (0.639)	Data 0.001 (0.022)	Loss 1.6952 (1.6729)	Prec@1 57.000 (55.223)	Prec@5 86.000 (83.947)
Epoch: [72][150/9018]	Time 0.618 (0.637)	Data 0.001 (0.020)	Loss 1.5902 (1.6715)	Prec@1 60.500 (55.311)	Prec@5 84.500 (83.944)
Epoch: [72][160/9018]	Time 0.623 (0.637)	Data 0.015 (0.019)	Loss 1.7343 (1.6740)	Prec@1 53.000 (55.261)	Prec@5 83.500 (83.882)
Epoch: [72][170/9018]	Time 0.608 (0.636)	Data 0.001 (0.018)	Loss 1.8675 (1.6725)	Prec@1 48.500 (55.240)	Prec@5 80.000 (83.901)
Epoch: [72][180/9018]	Time 0.612 (0.635)	Data 0.001 (0.017)	Loss 1.7553 (1.6757)	Prec@1 54.500 (55.232)	Prec@5 83.000 (83.887)
Epoch: [72][190/9018]	Time 0.605 (0.635)	Data 0.001 (0.017)	Loss 1.6554 (1.6751)	Prec@1 53.500 (55.243)	Prec@5 86.500 (83.890)
Epoch: [72][200/9018]	Time 0.625 (0.634)	Data 0.001 (0.016)	Loss 1.8187 (1.6763)	Prec@1 55.000 (55.266)	Prec@5 82.500 (83.918)
Epoch: [72][210/9018]	Time 0.630 (0.634)	Data 0.015 (0.015)	Loss 1.7614 (1.6773)	Prec@1 53.000 (55.187)	Prec@5 81.000 (83.865)
Epoch: [72][220/9018]	Time 0.616 (0.634)	Data 0.001 (0.015)	Loss 1.5628 (1.6799)	Prec@1 56.000 (55.140)	Prec@5 87.500 (83.821)
Epoch: [72][230/9018]	Time 0.616 (0.633)	Data 0.001 (0.014)	Loss 1.5870 (1.6781)	Prec@1 60.000 (55.214)	Prec@5 85.000 (83.818)
Epoch: [72][240/9018]	Time 0.594 (0.633)	Data 0.001 (0.014)	Loss 1.9080 (1.6804)	Prec@1 51.000 (55.160)	Prec@5 78.500 (83.793)
Epoch: [72][250/9018]	Time 0.613 (0.632)	Data 0.012 (0.013)	Loss 1.6345 (1.6795)	Prec@1 50.500 (55.199)	Prec@5 84.500 (83.809)
Epoch: [72][260/9018]	Time 0.617 (0.631)	Data 0.001 (0.013)	Loss 1.8005 (1.6812)	Prec@1 52.000 (55.132)	Prec@5 82.000 (83.799)
Epoch: [72][270/9018]	Time 0.598 (0.631)	Data 0.001 (0.013)	Loss 1.6114 (1.6809)	Prec@1 59.000 (55.148)	Prec@5 85.000 (83.804)
Epoch: [72][280/9018]	Time 0.589 (0.631)	Data 0.001 (0.012)	Loss 1.4275 (1.6791)	Prec@1 61.000 (55.183)	Prec@5 87.500 (83.829)
Epoch: [72][290/9018]	Time 0.618 (0.631)	Data 0.001 (0.012)	Loss 1.5551 (1.6801)	Prec@1 56.000 (55.163)	Prec@5 84.500 (83.808)
Epoch: [72][300/9018]	Time 0.763 (0.631)	Data 0.001 (0.012)	Loss 1.7254 (1.6810)	Prec@1 56.000 (55.176)	Prec@5 83.500 (83.772)
Epoch: [72][310/9018]	Time 0.604 (0.630)	Data 0.001 (0.011)	Loss 1.6692 (1.6827)	Prec@1 55.500 (55.090)	Prec@5 85.500 (83.746)
Epoch: [72][320/9018]	Time 0.617 (0.630)	Data 0.016 (0.011)	Loss 1.5805 (1.6815)	Prec@1 61.500 (55.076)	Prec@5 83.500 (83.773)
Epoch: [72][330/9018]	Time 0.620 (0.629)	Data 0.001 (0.011)	Loss 1.8493 (1.6815)	Prec@1 54.500 (55.095)	Prec@5 81.000 (83.781)
Epoch: [72][340/9018]	Time 0.606 (0.629)	Data 0.001 (0.011)	Loss 1.5896 (1.6822)	Prec@1 58.500 (55.056)	Prec@5 87.500 (83.796)
Epoch: [72][350/9018]	Time 0.709 (0.629)	Data 0.001 (0.010)	Loss 1.8821 (1.6817)	Prec@1 51.500 (55.053)	Prec@5 78.500 (83.791)
Epoch: [72][360/9018]	Time 0.620 (0.629)	Data 0.001 (0.010)	Loss 1.5851 (1.6805)	Prec@1 53.500 (55.097)	Prec@5 85.500 (83.821)
Epoch: [72][370/9018]	Time 0.611 (0.629)	Data 0.001 (0.010)	Loss 1.6970 (1.6801)	Prec@1 57.500 (55.106)	Prec@5 84.500 (83.860)
Epoch: [72][380/9018]	Time 0.595 (0.628)	Data 0.014 (0.010)	Loss 1.6145 (1.6789)	Prec@1 59.500 (55.117)	Prec@5 87.000 (83.890)
Epoch: [72][390/9018]	Time 0.630 (0.628)	Data 0.008 (0.010)	Loss 1.8674 (1.6810)	Prec@1 50.500 (55.079)	Prec@5 80.000 (83.866)
Epoch: [72][400/9018]	Time 0.607 (0.629)	Data 0.001 (0.010)	Loss 1.7126 (1.6826)	Prec@1 49.500 (55.010)	Prec@5 87.000 (83.865)
Epoch: [72][410/9018]	Time 0.634 (0.628)	Data 0.001 (0.009)	Loss 1.3435 (1.6821)	Prec@1 63.000 (55.024)	Prec@5 88.000 (83.856)
Epoch: [72][420/9018]	Time 0.611 (0.628)	Data 0.001 (0.009)	Loss 1.6033 (1.6828)	Prec@1 60.000 (54.982)	Prec@5 83.500 (83.841)
Epoch: [72][430/9018]	Time 0.593 (0.628)	Data 0.001 (0.009)	Loss 1.5650 (1.6832)	Prec@1 62.000 (54.979)	Prec@5 84.000 (83.826)
Epoch: [72][440/9018]	Time 0.622 (0.628)	Data 0.001 (0.009)	Loss 1.7169 (1.6821)	Prec@1 52.500 (54.981)	Prec@5 84.000 (83.861)
Epoch: [72][450/9018]	Time 0.598 (0.627)	Data 0.001 (0.009)	Loss 1.6829 (1.6829)	Prec@1 60.000 (54.993)	Prec@5 82.500 (83.840)
Epoch: [72][460/9018]	Time 0.637 (0.627)	Data 0.001 (0.009)	Loss 1.5543 (1.6834)	Prec@1 61.000 (54.980)	Prec@5 84.000 (83.826)
Epoch: [72][470/9018]	Time 0.605 (0.627)	Data 0.001 (0.009)	Loss 1.6481 (1.6830)	Prec@1 53.500 (54.980)	Prec@5 84.500 (83.831)
Epoch: [72][480/9018]	Time 0.618 (0.627)	Data 0.017 (0.009)	Loss 1.6096 (1.6828)	Prec@1 56.000 (54.967)	Prec@5 81.500 (83.839)
Epoch: [72][490/9018]	Time 0.604 (0.627)	Data 0.001 (0.008)	Loss 1.8211 (1.6834)	Prec@1 51.000 (54.946)	Prec@5 81.000 (83.841)
Epoch: [72][500/9018]	Time 0.639 (0.627)	Data 0.001 (0.008)	Loss 1.5818 (1.6829)	Prec@1 58.500 (54.967)	Prec@5 85.500 (83.851)
Epoch: [72][510/9018]	Time 0.612 (0.627)	Data 0.001 (0.008)	Loss 1.7271 (1.6835)	Prec@1 55.500 (54.960)	Prec@5 79.000 (83.826)
Epoch: [72][520/9018]	Time 0.613 (0.627)	Data 0.001 (0.008)	Loss 1.5664 (1.6837)	Prec@1 54.000 (54.934)	Prec@5 86.500 (83.823)
Epoch: [72][530/9018]	Time 0.633 (0.627)	Data 0.001 (0.008)	Loss 1.7261 (1.6842)	Prec@1 52.500 (54.915)	Prec@5 85.000 (83.833)
Epoch: [72][540/9018]	Time 0.592 (0.627)	Data 0.001 (0.008)	Loss 1.7591 (1.6830)	Prec@1 56.500 (54.964)	Prec@5 81.500 (83.850)
Epoch: [72][550/9018]	Time 0.608 (0.627)	Data 0.001 (0.008)	Loss 1.9630 (1.6829)	Prec@1 49.000 (54.973)	Prec@5 79.500 (83.858)
Epoch: [72][560/9018]	Time 0.620 (0.627)	Data 0.001 (0.008)	Loss 1.8630 (1.6835)	Prec@1 53.000 (54.966)	Prec@5 80.500 (83.837)
Epoch: [72][570/9018]	Time 0.624 (0.627)	Data 0.014 (0.008)	Loss 1.7664 (1.6828)	Prec@1 57.500 (54.975)	Prec@5 82.500 (83.839)
Epoch: [72][580/9018]	Time 0.623 (0.626)	Data 0.001 (0.008)	Loss 1.8362 (1.6841)	Prec@1 52.500 (54.923)	Prec@5 81.000 (83.821)
Epoch: [72][590/9018]	Time 0.614 (0.626)	Data 0.001 (0.007)	Loss 1.7654 (1.6838)	Prec@1 51.500 (54.930)	Prec@5 84.000 (83.843)
Epoch: [72][600/9018]	Time 0.612 (0.626)	Data 0.014 (0.007)	Loss 1.5335 (1.6847)	Prec@1 58.000 (54.894)	Prec@5 89.000 (83.842)
Epoch: [72][610/9018]	Time 0.628 (0.626)	Data 0.001 (0.007)	Loss 1.8336 (1.6853)	Prec@1 54.000 (54.879)	Prec@5 81.500 (83.814)
Epoch: [72][620/9018]	Time 0.603 (0.626)	Data 0.001 (0.007)	Loss 1.5433 (1.6841)	Prec@1 58.000 (54.904)	Prec@5 84.500 (83.841)
Epoch: [72][630/9018]	Time 0.748 (0.626)	Data 0.001 (0.007)	Loss 1.5383 (1.6835)	Prec@1 58.500 (54.923)	Prec@5 86.000 (83.849)
Epoch: [72][640/9018]	Time 0.629 (0.626)	Data 0.001 (0.007)	Loss 1.7651 (1.6836)	Prec@1 51.500 (54.920)	Prec@5 86.500 (83.845)
Epoch: [72][650/9018]	Time 0.592 (0.626)	Data 0.001 (0.007)	Loss 1.5810 (1.6825)	Prec@1 55.500 (54.939)	Prec@5 85.500 (83.859)
Epoch: [72][660/9018]	Time 0.611 (0.626)	Data 0.001 (0.007)	Loss 1.4926 (1.6833)	Prec@1 59.000 (54.921)	Prec@5 88.500 (83.852)
Epoch: [72][670/9018]	Time 0.609 (0.626)	Data 0.001 (0.007)	Loss 1.5275 (1.6832)	Prec@1 54.500 (54.917)	Prec@5 88.000 (83.861)
Epoch: [72][680/9018]	Time 0.722 (0.626)	Data 0.001 (0.007)	Loss 1.8098 (1.6828)	Prec@1 57.000 (54.941)	Prec@5 83.000 (83.877)
Epoch: [72][690/9018]	Time 0.623 (0.626)	Data 0.001 (0.007)	Loss 1.6213 (1.6827)	Prec@1 52.500 (54.936)	Prec@5 84.000 (83.881)
Epoch: [72][700/9018]	Time 0.595 (0.626)	Data 0.002 (0.007)	Loss 1.5185 (1.6824)	Prec@1 57.500 (54.929)	Prec@5 84.500 (83.880)
Epoch: [72][710/9018]	Time 0.610 (0.626)	Data 0.001 (0.007)	Loss 1.7463 (1.6820)	Prec@1 55.000 (54.938)	Prec@5 83.500 (83.891)
Epoch: [72][720/9018]	Time 0.622 (0.626)	Data 0.001 (0.007)	Loss 1.7635 (1.6824)	Prec@1 54.500 (54.920)	Prec@5 82.000 (83.885)
Epoch: [72][730/9018]	Time 0.640 (0.626)	Data 0.001 (0.006)	Loss 1.4890 (1.6808)	Prec@1 61.000 (54.973)	Prec@5 86.500 (83.906)
Epoch: [72][740/9018]	Time 0.591 (0.626)	Data 0.001 (0.006)	Loss 1.6565 (1.6805)	Prec@1 54.500 (54.995)	Prec@5 85.500 (83.920)
Epoch: [72][750/9018]	Time 0.612 (0.626)	Data 0.001 (0.006)	Loss 1.7099 (1.6806)	Prec@1 58.000 (55.002)	Prec@5 82.500 (83.914)
Epoch: [72][760/9018]	Time 0.635 (0.625)	Data 0.001 (0.006)	Loss 1.6664 (1.6801)	Prec@1 57.000 (55.018)	Prec@5 81.000 (83.916)
Epoch: [72][770/9018]	Time 0.600 (0.625)	Data 0.001 (0.006)	Loss 1.7410 (1.6802)	Prec@1 54.500 (54.999)	Prec@5 81.000 (83.916)
Epoch: [72][780/9018]	Time 0.608 (0.625)	Data 0.001 (0.006)	Loss 1.6650 (1.6793)	Prec@1 55.000 (55.031)	Prec@5 82.500 (83.935)
Epoch: [72][790/9018]	Time 0.613 (0.625)	Data 0.001 (0.006)	Loss 1.7821 (1.6802)	Prec@1 55.000 (55.003)	Prec@5 81.500 (83.915)
Epoch: [72][800/9018]	Time 0.612 (0.625)	Data 0.027 (0.006)	Loss 1.7804 (1.6801)	Prec@1 55.500 (55.032)	Prec@5 81.000 (83.910)
Epoch: [72][810/9018]	Time 0.636 (0.625)	Data 0.002 (0.006)	Loss 1.5337 (1.6799)	Prec@1 57.500 (55.042)	Prec@5 88.000 (83.916)
Epoch: [72][820/9018]	Time 0.603 (0.625)	Data 0.001 (0.006)	Loss 1.7401 (1.6797)	Prec@1 53.500 (55.049)	Prec@5 83.500 (83.909)
Epoch: [72][830/9018]	Time 0.653 (0.625)	Data 0.001 (0.006)	Loss 1.8119 (1.6798)	Prec@1 53.000 (55.047)	Prec@5 79.000 (83.900)
Epoch: [72][840/9018]	Time 0.588 (0.625)	Data 0.001 (0.006)	Loss 1.8283 (1.6802)	Prec@1 54.000 (55.050)	Prec@5 81.000 (83.888)
Epoch: [72][850/9018]	Time 0.619 (0.625)	Data 0.001 (0.006)	Loss 1.6654 (1.6808)	Prec@1 55.000 (55.042)	Prec@5 88.000 (83.877)
Epoch: [72][860/9018]	Time 0.628 (0.625)	Data 0.001 (0.006)	Loss 1.6346 (1.6805)	Prec@1 51.500 (55.035)	Prec@5 82.000 (83.877)
Epoch: [72][870/9018]	Time 0.593 (0.625)	Data 0.001 (0.006)	Loss 1.6558 (1.6790)	Prec@1 56.000 (55.068)	Prec@5 82.000 (83.907)
Epoch: [72][880/9018]	Time 0.591 (0.625)	Data 0.001 (0.006)	Loss 1.6403 (1.6790)	Prec@1 56.000 (55.060)	Prec@5 86.500 (83.910)
Epoch: [72][890/9018]	Time 0.636 (0.625)	Data 0.001 (0.006)	Loss 1.7505 (1.6793)	Prec@1 54.500 (55.052)	Prec@5 79.500 (83.896)
Epoch: [72][900/9018]	Time 0.616 (0.625)	Data 0.001 (0.006)	Loss 1.8772 (1.6794)	Prec@1 52.500 (55.054)	Prec@5 80.000 (83.886)
Epoch: [72][910/9018]	Time 0.610 (0.625)	Data 0.001 (0.006)	Loss 1.8125 (1.6790)	Prec@1 55.000 (55.065)	Prec@5 83.500 (83.890)
Epoch: [72][920/9018]	Time 0.624 (0.625)	Data 0.009 (0.006)	Loss 1.5255 (1.6785)	Prec@1 58.500 (55.090)	Prec@5 88.000 (83.893)
Epoch: [72][930/9018]	Time 0.607 (0.625)	Data 0.001 (0.006)	Loss 1.5948 (1.6790)	Prec@1 54.000 (55.083)	Prec@5 84.500 (83.880)
Epoch: [72][940/9018]	Time 0.613 (0.625)	Data 0.001 (0.006)	Loss 1.6531 (1.6791)	Prec@1 59.000 (55.087)	Prec@5 83.000 (83.867)
Epoch: [72][950/9018]	Time 0.601 (0.625)	Data 0.001 (0.006)	Loss 1.5648 (1.6794)	Prec@1 56.500 (55.083)	Prec@5 86.000 (83.857)
Epoch: [72][960/9018]	Time 0.781 (0.625)	Data 0.015 (0.006)	Loss 1.5230 (1.6792)	Prec@1 57.500 (55.098)	Prec@5 86.000 (83.858)
Epoch: [72][970/9018]	Time 0.628 (0.625)	Data 0.001 (0.006)	Loss 1.7630 (1.6795)	Prec@1 55.500 (55.096)	Prec@5 82.500 (83.850)
Epoch: [72][980/9018]	Time 0.636 (0.625)	Data 0.001 (0.006)	Loss 1.6258 (1.6787)	Prec@1 53.500 (55.106)	Prec@5 83.000 (83.865)
Epoch: [72][990/9018]	Time 0.603 (0.625)	Data 0.001 (0.006)	Loss 1.7497 (1.6790)	Prec@1 50.000 (55.101)	Prec@5 81.500 (83.856)
Epoch: [72][1000/9018]	Time 0.605 (0.625)	Data 0.014 (0.006)	Loss 1.7723 (1.6794)	Prec@1 51.500 (55.095)	Prec@5 82.000 (83.852)
Epoch: [72][1010/9018]	Time 0.742 (0.625)	Data 0.001 (0.005)	Loss 1.6961 (1.6801)	Prec@1 55.000 (55.073)	Prec@5 82.500 (83.848)
Epoch: [72][1020/9018]	Time 0.618 (0.625)	Data 0.015 (0.005)	Loss 1.5871 (1.6800)	Prec@1 54.000 (55.057)	Prec@5 83.000 (83.847)
Epoch: [72][1030/9018]	Time 0.595 (0.625)	Data 0.001 (0.005)	Loss 1.5922 (1.6798)	Prec@1 59.500 (55.075)	Prec@5 85.500 (83.844)
Epoch: [72][1040/9018]	Time 0.648 (0.625)	Data 0.005 (0.005)	Loss 1.6628 (1.6794)	Prec@1 53.000 (55.080)	Prec@5 85.000 (83.855)
Epoch: [72][1050/9018]	Time 0.600 (0.625)	Data 0.001 (0.005)	Loss 1.7810 (1.6795)	Prec@1 50.000 (55.068)	Prec@5 81.500 (83.855)
Epoch: [72][1060/9018]	Time 0.614 (0.625)	Data 0.001 (0.005)	Loss 1.7597 (1.6796)	Prec@1 55.500 (55.067)	Prec@5 82.000 (83.858)
Epoch: [72][1070/9018]	Time 0.627 (0.625)	Data 0.001 (0.005)	Loss 1.6622 (1.6800)	Prec@1 53.000 (55.042)	Prec@5 83.000 (83.857)
Epoch: [72][1080/9018]	Time 0.639 (0.625)	Data 0.001 (0.005)	Loss 1.8872 (1.6806)	Prec@1 49.500 (55.027)	Prec@5 78.500 (83.847)
Epoch: [72][1090/9018]	Time 0.607 (0.625)	Data 0.001 (0.005)	Loss 1.6830 (1.6805)	Prec@1 55.500 (55.022)	Prec@5 83.000 (83.847)
Epoch: [72][1100/9018]	Time 0.621 (0.625)	Data 0.001 (0.005)	Loss 1.6695 (1.6801)	Prec@1 55.500 (55.033)	Prec@5 84.500 (83.849)
Epoch: [72][1110/9018]	Time 0.600 (0.625)	Data 0.011 (0.005)	Loss 1.6337 (1.6800)	Prec@1 60.000 (55.047)	Prec@5 81.000 (83.851)
Epoch: [72][1120/9018]	Time 0.608 (0.624)	Data 0.001 (0.005)	Loss 1.5978 (1.6796)	Prec@1 57.000 (55.062)	Prec@5 84.500 (83.857)
Epoch: [72][1130/9018]	Time 0.612 (0.625)	Data 0.001 (0.005)	Loss 1.8973 (1.6803)	Prec@1 52.000 (55.049)	Prec@5 78.000 (83.843)
Epoch: [72][1140/9018]	Time 0.605 (0.624)	Data 0.001 (0.005)	Loss 1.7451 (1.6809)	Prec@1 54.500 (55.042)	Prec@5 82.500 (83.830)
Epoch: [72][1150/9018]	Time 0.633 (0.624)	Data 0.001 (0.005)	Loss 1.6159 (1.6810)	Prec@1 53.000 (55.044)	Prec@5 84.500 (83.825)
Epoch: [72][1160/9018]	Time 0.623 (0.624)	Data 0.001 (0.005)	Loss 1.6305 (1.6811)	Prec@1 57.500 (55.053)	Prec@5 83.500 (83.816)
Epoch: [72][1170/9018]	Time 0.608 (0.624)	Data 0.001 (0.005)	Loss 1.5875 (1.6811)	Prec@1 58.500 (55.059)	Prec@5 87.500 (83.820)
Epoch: [72][1180/9018]	Time 0.616 (0.624)	Data 0.001 (0.005)	Loss 1.7046 (1.6811)	Prec@1 51.000 (55.063)	Prec@5 84.500 (83.816)
Epoch: [72][1190/9018]	Time 0.613 (0.624)	Data 0.014 (0.005)	Loss 1.6313 (1.6810)	Prec@1 54.500 (55.080)	Prec@5 85.500 (83.814)
Epoch: [72][1200/9018]	Time 0.592 (0.624)	Data 0.001 (0.005)	Loss 1.5744 (1.6810)	Prec@1 60.500 (55.075)	Prec@5 83.000 (83.815)
Epoch: [72][1210/9018]	Time 0.648 (0.624)	Data 0.016 (0.005)	Loss 1.5734 (1.6807)	Prec@1 58.500 (55.083)	Prec@5 83.500 (83.817)
Epoch: [72][1220/9018]	Time 0.598 (0.624)	Data 0.001 (0.005)	Loss 1.7032 (1.6810)	Prec@1 51.000 (55.080)	Prec@5 87.500 (83.818)
Epoch: [72][1230/9018]	Time 0.612 (0.624)	Data 0.001 (0.005)	Loss 1.6454 (1.6812)	Prec@1 55.000 (55.074)	Prec@5 83.000 (83.809)
Epoch: [72][1240/9018]	Time 0.591 (0.624)	Data 0.001 (0.005)	Loss 1.5594 (1.6811)	Prec@1 54.000 (55.077)	Prec@5 88.000 (83.814)
Epoch: [72][1250/9018]	Time 0.618 (0.624)	Data 0.001 (0.005)	Loss 1.4541 (1.6813)	Prec@1 60.500 (55.070)	Prec@5 87.000 (83.811)
Epoch: [72][1260/9018]	Time 0.604 (0.624)	Data 0.001 (0.005)	Loss 1.5880 (1.6811)	Prec@1 58.000 (55.074)	Prec@5 88.000 (83.819)
Epoch: [72][1270/9018]	Time 0.621 (0.624)	Data 0.002 (0.005)	Loss 1.7185 (1.6807)	Prec@1 54.000 (55.084)	Prec@5 83.000 (83.822)
Epoch: [72][1280/9018]	Time 0.593 (0.624)	Data 0.001 (0.005)	Loss 1.8982 (1.6809)	Prec@1 52.500 (55.079)	Prec@5 80.000 (83.815)
Epoch: [72][1290/9018]	Time 0.743 (0.624)	Data 0.001 (0.005)	Loss 1.6435 (1.6810)	Prec@1 56.000 (55.084)	Prec@5 86.500 (83.812)
Epoch: [72][1300/9018]	Time 0.588 (0.624)	Data 0.001 (0.005)	Loss 1.5932 (1.6808)	Prec@1 58.500 (55.101)	Prec@5 82.000 (83.810)
Epoch: [72][1310/9018]	Time 0.610 (0.624)	Data 0.012 (0.005)	Loss 1.6330 (1.6810)	Prec@1 58.500 (55.099)	Prec@5 81.500 (83.801)
Epoch: [72][1320/9018]	Time 0.597 (0.624)	Data 0.001 (0.005)	Loss 1.5658 (1.6806)	Prec@1 60.500 (55.114)	Prec@5 86.000 (83.810)
Epoch: [72][1330/9018]	Time 0.597 (0.624)	Data 0.001 (0.005)	Loss 1.3888 (1.6806)	Prec@1 67.000 (55.106)	Prec@5 87.000 (83.805)
Epoch: [72][1340/9018]	Time 0.762 (0.624)	Data 0.013 (0.005)	Loss 1.7329 (1.6806)	Prec@1 57.500 (55.106)	Prec@5 83.000 (83.801)
Epoch: [72][1350/9018]	Time 0.623 (0.624)	Data 0.001 (0.005)	Loss 1.8881 (1.6804)	Prec@1 49.500 (55.117)	Prec@5 81.500 (83.803)
Epoch: [72][1360/9018]	Time 0.610 (0.624)	Data 0.001 (0.005)	Loss 1.5719 (1.6803)	Prec@1 61.000 (55.131)	Prec@5 85.500 (83.806)
Epoch: [72][1370/9018]	Time 0.594 (0.624)	Data 0.001 (0.005)	Loss 1.6238 (1.6803)	Prec@1 57.000 (55.130)	Prec@5 85.500 (83.809)
Epoch: [72][1380/9018]	Time 0.591 (0.624)	Data 0.001 (0.005)	Loss 1.6299 (1.6801)	Prec@1 58.000 (55.135)	Prec@5 85.000 (83.810)
Epoch: [72][1390/9018]	Time 0.599 (0.624)	Data 0.014 (0.005)	Loss 1.6900 (1.6803)	Prec@1 56.500 (55.129)	Prec@5 82.500 (83.805)
Epoch: [72][1400/9018]	Time 0.604 (0.624)	Data 0.001 (0.005)	Loss 1.7477 (1.6803)	Prec@1 52.000 (55.115)	Prec@5 84.000 (83.803)
Epoch: [72][1410/9018]	Time 0.640 (0.624)	Data 0.001 (0.005)	Loss 1.8321 (1.6806)	Prec@1 51.500 (55.102)	Prec@5 82.500 (83.797)
Epoch: [72][1420/9018]	Time 0.602 (0.624)	Data 0.001 (0.005)	Loss 1.7130 (1.6807)	Prec@1 56.500 (55.104)	Prec@5 84.500 (83.803)
Epoch: [72][1430/9018]	Time 0.640 (0.624)	Data 0.015 (0.005)	Loss 1.6731 (1.6808)	Prec@1 55.000 (55.099)	Prec@5 84.000 (83.800)
Epoch: [72][1440/9018]	Time 0.624 (0.624)	Data 0.014 (0.005)	Loss 1.5322 (1.6806)	Prec@1 56.500 (55.102)	Prec@5 86.500 (83.804)
Epoch: [72][1450/9018]	Time 0.605 (0.624)	Data 0.007 (0.005)	Loss 1.7525 (1.6806)	Prec@1 51.000 (55.098)	Prec@5 81.500 (83.802)
Epoch: [72][1460/9018]	Time 0.625 (0.624)	Data 0.001 (0.005)	Loss 1.7696 (1.6810)	Prec@1 56.500 (55.093)	Prec@5 80.000 (83.785)
Epoch: [72][1470/9018]	Time 0.617 (0.624)	Data 0.013 (0.005)	Loss 1.8097 (1.6809)	Prec@1 55.000 (55.093)	Prec@5 84.000 (83.793)
Epoch: [72][1480/9018]	Time 0.601 (0.624)	Data 0.001 (0.005)	Loss 1.5044 (1.6806)	Prec@1 57.500 (55.097)	Prec@5 88.000 (83.802)
Epoch: [72][1490/9018]	Time 0.607 (0.624)	Data 0.001 (0.005)	Loss 1.5877 (1.6804)	Prec@1 60.500 (55.092)	Prec@5 86.000 (83.804)
Epoch: [72][1500/9018]	Time 0.625 (0.624)	Data 0.001 (0.005)	Loss 1.7820 (1.6805)	Prec@1 55.000 (55.098)	Prec@5 80.500 (83.795)
Epoch: [72][1510/9018]	Time 0.596 (0.624)	Data 0.001 (0.005)	Loss 1.6722 (1.6811)	Prec@1 54.500 (55.083)	Prec@5 86.000 (83.789)
Epoch: [72][1520/9018]	Time 0.637 (0.624)	Data 0.001 (0.005)	Loss 1.6840 (1.6812)	Prec@1 55.500 (55.085)	Prec@5 82.000 (83.790)
Epoch: [72][1530/9018]	Time 0.631 (0.624)	Data 0.001 (0.005)	Loss 1.6893 (1.6814)	Prec@1 49.000 (55.084)	Prec@5 85.500 (83.790)
Epoch: [72][1540/9018]	Time 0.600 (0.624)	Data 0.001 (0.005)	Loss 1.8284 (1.6817)	Prec@1 52.000 (55.080)	Prec@5 80.500 (83.781)
Epoch: [72][1550/9018]	Time 0.609 (0.624)	Data 0.001 (0.005)	Loss 1.3728 (1.6815)	Prec@1 61.500 (55.083)	Prec@5 89.000 (83.786)
Epoch: [72][1560/9018]	Time 0.621 (0.624)	Data 0.016 (0.005)	Loss 1.8312 (1.6818)	Prec@1 51.500 (55.075)	Prec@5 81.500 (83.783)
Epoch: [72][1570/9018]	Time 0.811 (0.624)	Data 0.001 (0.004)	Loss 1.6533 (1.6818)	Prec@1 55.000 (55.080)	Prec@5 84.500 (83.787)
Epoch: [72][1580/9018]	Time 0.611 (0.624)	Data 0.001 (0.004)	Loss 1.5800 (1.6816)	Prec@1 60.000 (55.081)	Prec@5 88.500 (83.785)
Epoch: [72][1590/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.5823 (1.6816)	Prec@1 57.000 (55.075)	Prec@5 87.500 (83.788)
Epoch: [72][1600/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.6466 (1.6819)	Prec@1 56.500 (55.072)	Prec@5 83.500 (83.787)
Epoch: [72][1610/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.7766 (1.6817)	Prec@1 51.000 (55.070)	Prec@5 85.000 (83.791)
Epoch: [72][1620/9018]	Time 0.775 (0.624)	Data 0.016 (0.004)	Loss 1.8276 (1.6817)	Prec@1 51.000 (55.070)	Prec@5 82.500 (83.790)
Epoch: [72][1630/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.6577 (1.6817)	Prec@1 54.500 (55.073)	Prec@5 85.000 (83.796)
Epoch: [72][1640/9018]	Time 0.616 (0.624)	Data 0.014 (0.004)	Loss 1.5819 (1.6818)	Prec@1 56.000 (55.073)	Prec@5 86.500 (83.796)
Epoch: [72][1650/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.7235 (1.6816)	Prec@1 59.000 (55.075)	Prec@5 84.500 (83.800)
Epoch: [72][1660/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.5473 (1.6812)	Prec@1 58.500 (55.081)	Prec@5 87.500 (83.813)
Epoch: [72][1670/9018]	Time 0.632 (0.624)	Data 0.001 (0.004)	Loss 1.7405 (1.6814)	Prec@1 52.500 (55.071)	Prec@5 82.000 (83.806)
Epoch: [72][1680/9018]	Time 0.630 (0.624)	Data 0.001 (0.004)	Loss 1.6847 (1.6817)	Prec@1 52.000 (55.067)	Prec@5 85.500 (83.805)
Epoch: [72][1690/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.6893 (1.6816)	Prec@1 56.000 (55.068)	Prec@5 82.000 (83.805)
Epoch: [72][1700/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.4986 (1.6812)	Prec@1 58.000 (55.072)	Prec@5 87.000 (83.812)
Epoch: [72][1710/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.6100 (1.6811)	Prec@1 57.500 (55.080)	Prec@5 84.500 (83.815)
Epoch: [72][1720/9018]	Time 0.631 (0.624)	Data 0.016 (0.004)	Loss 1.7691 (1.6813)	Prec@1 55.000 (55.073)	Prec@5 84.000 (83.818)
Epoch: [72][1730/9018]	Time 0.627 (0.624)	Data 0.001 (0.004)	Loss 1.5432 (1.6811)	Prec@1 55.000 (55.070)	Prec@5 84.500 (83.824)
Epoch: [72][1740/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.7370 (1.6808)	Prec@1 51.500 (55.069)	Prec@5 85.500 (83.832)
Epoch: [72][1750/9018]	Time 0.626 (0.624)	Data 0.001 (0.004)	Loss 1.6404 (1.6806)	Prec@1 54.500 (55.070)	Prec@5 84.000 (83.830)
Epoch: [72][1760/9018]	Time 0.618 (0.624)	Data 0.029 (0.004)	Loss 1.7650 (1.6810)	Prec@1 48.500 (55.061)	Prec@5 86.000 (83.824)
Epoch: [72][1770/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.9049 (1.6807)	Prec@1 54.500 (55.065)	Prec@5 78.500 (83.828)
Epoch: [72][1780/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.9016 (1.6811)	Prec@1 54.000 (55.052)	Prec@5 78.500 (83.816)
Epoch: [72][1790/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 1.9135 (1.6813)	Prec@1 47.000 (55.049)	Prec@5 82.000 (83.812)
Epoch: [72][1800/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.5880 (1.6816)	Prec@1 55.500 (55.038)	Prec@5 86.500 (83.813)
Epoch: [72][1810/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.7608 (1.6817)	Prec@1 56.000 (55.033)	Prec@5 84.000 (83.811)
Epoch: [72][1820/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.5205 (1.6818)	Prec@1 58.000 (55.024)	Prec@5 86.500 (83.809)
Epoch: [72][1830/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 1.5949 (1.6818)	Prec@1 57.500 (55.023)	Prec@5 86.000 (83.803)
Epoch: [72][1840/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.6442 (1.6821)	Prec@1 59.000 (55.028)	Prec@5 85.500 (83.800)
Epoch: [72][1850/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.7711 (1.6823)	Prec@1 48.000 (55.024)	Prec@5 82.000 (83.798)
Epoch: [72][1860/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.8020 (1.6825)	Prec@1 57.000 (55.017)	Prec@5 82.000 (83.796)
Epoch: [72][1870/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.7419 (1.6824)	Prec@1 58.000 (55.024)	Prec@5 83.000 (83.797)
Epoch: [72][1880/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.6144 (1.6826)	Prec@1 54.500 (55.023)	Prec@5 85.000 (83.789)
Epoch: [72][1890/9018]	Time 0.632 (0.624)	Data 0.001 (0.004)	Loss 1.5961 (1.6825)	Prec@1 59.000 (55.026)	Prec@5 86.500 (83.787)
Epoch: [72][1900/9018]	Time 0.719 (0.624)	Data 0.001 (0.004)	Loss 1.7475 (1.6823)	Prec@1 56.500 (55.036)	Prec@5 82.000 (83.791)
Epoch: [72][1910/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.7205 (1.6824)	Prec@1 51.000 (55.028)	Prec@5 85.500 (83.792)
Epoch: [72][1920/9018]	Time 0.611 (0.624)	Data 0.001 (0.004)	Loss 1.5296 (1.6821)	Prec@1 59.000 (55.037)	Prec@5 85.000 (83.797)
Epoch: [72][1930/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.6752 (1.6818)	Prec@1 54.000 (55.048)	Prec@5 83.500 (83.804)
Epoch: [72][1940/9018]	Time 0.641 (0.624)	Data 0.001 (0.004)	Loss 1.7551 (1.6819)	Prec@1 50.000 (55.033)	Prec@5 83.000 (83.805)
Epoch: [72][1950/9018]	Time 0.772 (0.624)	Data 0.001 (0.004)	Loss 1.7946 (1.6821)	Prec@1 56.500 (55.029)	Prec@5 83.000 (83.805)
Epoch: [72][1960/9018]	Time 0.590 (0.624)	Data 0.001 (0.004)	Loss 1.6718 (1.6823)	Prec@1 54.500 (55.024)	Prec@5 85.500 (83.802)
Epoch: [72][1970/9018]	Time 0.640 (0.624)	Data 0.001 (0.004)	Loss 1.8731 (1.6822)	Prec@1 48.500 (55.026)	Prec@5 79.500 (83.803)
Epoch: [72][1980/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.7496 (1.6823)	Prec@1 56.500 (55.025)	Prec@5 82.000 (83.797)
Epoch: [72][1990/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.6266 (1.6822)	Prec@1 57.000 (55.027)	Prec@5 83.000 (83.799)
Epoch: [72][2000/9018]	Time 0.626 (0.624)	Data 0.005 (0.004)	Loss 1.8666 (1.6825)	Prec@1 49.000 (55.015)	Prec@5 81.000 (83.792)
Epoch: [72][2010/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.6800 (1.6829)	Prec@1 58.500 (55.004)	Prec@5 83.000 (83.782)
Epoch: [72][2020/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.7894 (1.6829)	Prec@1 51.500 (55.003)	Prec@5 83.000 (83.783)
Epoch: [72][2030/9018]	Time 0.634 (0.624)	Data 0.017 (0.004)	Loss 1.6423 (1.6832)	Prec@1 56.000 (54.990)	Prec@5 85.000 (83.778)
Epoch: [72][2040/9018]	Time 0.628 (0.624)	Data 0.001 (0.004)	Loss 1.5328 (1.6830)	Prec@1 58.500 (54.991)	Prec@5 86.000 (83.781)
Epoch: [72][2050/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.8186 (1.6825)	Prec@1 50.000 (54.996)	Prec@5 80.500 (83.791)
Epoch: [72][2060/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.4983 (1.6823)	Prec@1 57.500 (55.004)	Prec@5 88.500 (83.795)
Epoch: [72][2070/9018]	Time 0.602 (0.624)	Data 0.025 (0.004)	Loss 1.8291 (1.6824)	Prec@1 54.500 (55.003)	Prec@5 81.500 (83.793)
Epoch: [72][2080/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.7465 (1.6824)	Prec@1 51.000 (55.000)	Prec@5 83.500 (83.793)
Epoch: [72][2090/9018]	Time 0.640 (0.624)	Data 0.001 (0.004)	Loss 1.6152 (1.6827)	Prec@1 54.500 (54.994)	Prec@5 84.500 (83.787)
Epoch: [72][2100/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.5729 (1.6826)	Prec@1 59.500 (54.997)	Prec@5 85.000 (83.789)
Epoch: [72][2110/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.6903 (1.6823)	Prec@1 54.000 (54.997)	Prec@5 83.000 (83.792)
Epoch: [72][2120/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.8569 (1.6823)	Prec@1 50.000 (54.998)	Prec@5 81.000 (83.792)
Epoch: [72][2130/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.5448 (1.6824)	Prec@1 60.000 (54.994)	Prec@5 86.000 (83.789)
Epoch: [72][2140/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.4313 (1.6822)	Prec@1 61.000 (54.996)	Prec@5 88.500 (83.793)
Epoch: [72][2150/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.6418 (1.6826)	Prec@1 59.000 (54.988)	Prec@5 83.500 (83.787)
Epoch: [72][2160/9018]	Time 0.646 (0.624)	Data 0.001 (0.004)	Loss 1.8990 (1.6827)	Prec@1 45.000 (54.983)	Prec@5 80.500 (83.785)
Epoch: [72][2170/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.6324 (1.6823)	Prec@1 58.500 (54.990)	Prec@5 83.500 (83.793)
Epoch: [72][2180/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.8995 (1.6828)	Prec@1 48.500 (54.979)	Prec@5 80.000 (83.788)
Epoch: [72][2190/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.7941 (1.6828)	Prec@1 50.000 (54.980)	Prec@5 82.500 (83.784)
Epoch: [72][2200/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.7242 (1.6831)	Prec@1 53.000 (54.972)	Prec@5 80.000 (83.781)
Epoch: [72][2210/9018]	Time 0.631 (0.624)	Data 0.016 (0.004)	Loss 2.1155 (1.6832)	Prec@1 45.500 (54.966)	Prec@5 75.500 (83.781)
Epoch: [72][2220/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.6421 (1.6833)	Prec@1 54.500 (54.962)	Prec@5 85.000 (83.780)
Epoch: [72][2230/9018]	Time 0.743 (0.624)	Data 0.001 (0.004)	Loss 1.5504 (1.6834)	Prec@1 56.500 (54.965)	Prec@5 87.500 (83.782)
Epoch: [72][2240/9018]	Time 0.618 (0.623)	Data 0.016 (0.004)	Loss 1.6484 (1.6834)	Prec@1 55.500 (54.964)	Prec@5 84.000 (83.778)
Epoch: [72][2250/9018]	Time 0.615 (0.623)	Data 0.001 (0.004)	Loss 1.4996 (1.6836)	Prec@1 61.000 (54.962)	Prec@5 87.000 (83.777)
Epoch: [72][2260/9018]	Time 0.613 (0.623)	Data 0.017 (0.004)	Loss 1.8943 (1.6836)	Prec@1 47.500 (54.954)	Prec@5 83.000 (83.778)
Epoch: [72][2270/9018]	Time 0.617 (0.623)	Data 0.013 (0.004)	Loss 1.7119 (1.6837)	Prec@1 53.500 (54.950)	Prec@5 84.000 (83.777)
Epoch: [72][2280/9018]	Time 0.743 (0.623)	Data 0.001 (0.004)	Loss 1.5190 (1.6834)	Prec@1 57.000 (54.956)	Prec@5 87.000 (83.782)
Epoch: [72][2290/9018]	Time 0.610 (0.623)	Data 0.001 (0.004)	Loss 1.6795 (1.6836)	Prec@1 53.500 (54.953)	Prec@5 84.500 (83.775)
Epoch: [72][2300/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 1.4521 (1.6834)	Prec@1 64.000 (54.958)	Prec@5 87.500 (83.776)
Epoch: [72][2310/9018]	Time 0.624 (0.623)	Data 0.001 (0.004)	Loss 1.6467 (1.6833)	Prec@1 54.500 (54.963)	Prec@5 85.500 (83.780)
Epoch: [72][2320/9018]	Time 0.626 (0.623)	Data 0.001 (0.004)	Loss 1.7331 (1.6835)	Prec@1 53.000 (54.960)	Prec@5 83.500 (83.775)
Epoch: [72][2330/9018]	Time 0.609 (0.623)	Data 0.001 (0.004)	Loss 1.4093 (1.6835)	Prec@1 59.500 (54.962)	Prec@5 90.500 (83.778)
Epoch: [72][2340/9018]	Time 0.609 (0.623)	Data 0.001 (0.004)	Loss 1.8005 (1.6840)	Prec@1 56.000 (54.953)	Prec@5 81.000 (83.769)
Epoch: [72][2350/9018]	Time 0.608 (0.623)	Data 0.001 (0.004)	Loss 1.6864 (1.6839)	Prec@1 54.500 (54.958)	Prec@5 83.000 (83.771)
Epoch: [72][2360/9018]	Time 0.630 (0.623)	Data 0.014 (0.004)	Loss 1.7956 (1.6839)	Prec@1 50.000 (54.954)	Prec@5 80.500 (83.767)
Epoch: [72][2370/9018]	Time 0.594 (0.623)	Data 0.001 (0.004)	Loss 1.8243 (1.6840)	Prec@1 52.500 (54.948)	Prec@5 83.500 (83.771)
Epoch: [72][2380/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 1.4517 (1.6841)	Prec@1 59.500 (54.944)	Prec@5 87.000 (83.774)
Epoch: [72][2390/9018]	Time 0.594 (0.623)	Data 0.001 (0.004)	Loss 1.3473 (1.6840)	Prec@1 64.000 (54.944)	Prec@5 91.500 (83.776)
Epoch: [72][2400/9018]	Time 0.616 (0.623)	Data 0.001 (0.004)	Loss 1.5876 (1.6839)	Prec@1 58.500 (54.946)	Prec@5 87.000 (83.779)
Epoch: [72][2410/9018]	Time 0.636 (0.623)	Data 0.001 (0.004)	Loss 1.9479 (1.6839)	Prec@1 47.500 (54.949)	Prec@5 76.000 (83.779)
Epoch: [72][2420/9018]	Time 0.592 (0.623)	Data 0.001 (0.004)	Loss 1.6256 (1.6842)	Prec@1 57.000 (54.948)	Prec@5 84.000 (83.772)
Epoch: [72][2430/9018]	Time 0.629 (0.623)	Data 0.001 (0.004)	Loss 1.7259 (1.6843)	Prec@1 57.000 (54.946)	Prec@5 83.500 (83.769)
Epoch: [72][2440/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 1.7311 (1.6843)	Prec@1 53.500 (54.948)	Prec@5 81.500 (83.769)
Epoch: [72][2450/9018]	Time 0.620 (0.623)	Data 0.001 (0.004)	Loss 1.6453 (1.6842)	Prec@1 58.000 (54.956)	Prec@5 86.000 (83.772)
Epoch: [72][2460/9018]	Time 0.603 (0.623)	Data 0.001 (0.004)	Loss 1.6401 (1.6842)	Prec@1 57.000 (54.957)	Prec@5 81.500 (83.769)
Epoch: [72][2470/9018]	Time 0.607 (0.623)	Data 0.001 (0.004)	Loss 1.6818 (1.6841)	Prec@1 53.000 (54.959)	Prec@5 82.500 (83.771)
Epoch: [72][2480/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.5872 (1.6844)	Prec@1 59.000 (54.953)	Prec@5 86.000 (83.770)
Epoch: [72][2490/9018]	Time 0.614 (0.623)	Data 0.001 (0.004)	Loss 1.6075 (1.6845)	Prec@1 59.000 (54.950)	Prec@5 86.500 (83.771)
Epoch: [72][2500/9018]	Time 0.615 (0.623)	Data 0.001 (0.004)	Loss 1.6399 (1.6843)	Prec@1 56.500 (54.959)	Prec@5 86.000 (83.776)
Epoch: [72][2510/9018]	Time 0.590 (0.623)	Data 0.001 (0.004)	Loss 1.6480 (1.6843)	Prec@1 54.000 (54.958)	Prec@5 85.500 (83.777)
Epoch: [72][2520/9018]	Time 0.603 (0.623)	Data 0.001 (0.004)	Loss 1.4961 (1.6845)	Prec@1 57.000 (54.950)	Prec@5 91.000 (83.776)
Epoch: [72][2530/9018]	Time 0.623 (0.623)	Data 0.001 (0.004)	Loss 1.7993 (1.6844)	Prec@1 55.000 (54.957)	Prec@5 83.500 (83.776)
Epoch: [72][2540/9018]	Time 0.601 (0.623)	Data 0.001 (0.004)	Loss 1.8020 (1.6845)	Prec@1 50.500 (54.954)	Prec@5 80.000 (83.770)
Epoch: [72][2550/9018]	Time 0.602 (0.623)	Data 0.001 (0.004)	Loss 1.5295 (1.6845)	Prec@1 60.500 (54.954)	Prec@5 84.500 (83.770)
Epoch: [72][2560/9018]	Time 0.732 (0.623)	Data 0.016 (0.004)	Loss 1.5842 (1.6843)	Prec@1 58.000 (54.953)	Prec@5 84.000 (83.774)
Epoch: [72][2570/9018]	Time 0.618 (0.623)	Data 0.001 (0.004)	Loss 1.5871 (1.6845)	Prec@1 59.000 (54.947)	Prec@5 85.000 (83.775)
Epoch: [72][2580/9018]	Time 0.595 (0.623)	Data 0.003 (0.004)	Loss 1.5991 (1.6843)	Prec@1 56.000 (54.953)	Prec@5 86.000 (83.778)
Epoch: [72][2590/9018]	Time 0.597 (0.623)	Data 0.001 (0.004)	Loss 1.5081 (1.6843)	Prec@1 57.000 (54.951)	Prec@5 86.500 (83.778)
Epoch: [72][2600/9018]	Time 0.610 (0.623)	Data 0.001 (0.004)	Loss 1.5854 (1.6843)	Prec@1 59.000 (54.951)	Prec@5 85.000 (83.777)
Epoch: [72][2610/9018]	Time 0.750 (0.623)	Data 0.016 (0.004)	Loss 1.7485 (1.6844)	Prec@1 54.500 (54.950)	Prec@5 80.500 (83.773)
Epoch: [72][2620/9018]	Time 0.591 (0.623)	Data 0.001 (0.004)	Loss 1.6637 (1.6845)	Prec@1 54.500 (54.947)	Prec@5 81.000 (83.770)
Epoch: [72][2630/9018]	Time 0.623 (0.623)	Data 0.001 (0.004)	Loss 1.6381 (1.6846)	Prec@1 56.000 (54.945)	Prec@5 84.500 (83.769)
Epoch: [72][2640/9018]	Time 0.612 (0.623)	Data 0.001 (0.004)	Loss 1.6988 (1.6847)	Prec@1 54.500 (54.944)	Prec@5 81.000 (83.767)
Epoch: [72][2650/9018]	Time 0.617 (0.623)	Data 0.001 (0.004)	Loss 1.7559 (1.6846)	Prec@1 54.000 (54.946)	Prec@5 83.000 (83.768)
Epoch: [72][2660/9018]	Time 0.612 (0.623)	Data 0.001 (0.004)	Loss 1.7144 (1.6844)	Prec@1 57.500 (54.952)	Prec@5 81.500 (83.772)
Epoch: [72][2670/9018]	Time 0.625 (0.623)	Data 0.001 (0.004)	Loss 1.6876 (1.6845)	Prec@1 54.000 (54.952)	Prec@5 85.000 (83.767)
Epoch: [72][2680/9018]	Time 0.600 (0.623)	Data 0.001 (0.004)	Loss 1.9278 (1.6844)	Prec@1 49.500 (54.955)	Prec@5 81.500 (83.771)
Epoch: [72][2690/9018]	Time 0.618 (0.623)	Data 0.003 (0.004)	Loss 1.7106 (1.6842)	Prec@1 53.000 (54.957)	Prec@5 82.500 (83.772)
Epoch: [72][2700/9018]	Time 0.620 (0.623)	Data 0.001 (0.004)	Loss 1.5865 (1.6842)	Prec@1 56.500 (54.954)	Prec@5 85.500 (83.774)
Epoch: [72][2710/9018]	Time 0.623 (0.623)	Data 0.001 (0.004)	Loss 1.7834 (1.6841)	Prec@1 52.500 (54.955)	Prec@5 82.000 (83.771)
Epoch: [72][2720/9018]	Time 0.610 (0.623)	Data 0.001 (0.004)	Loss 1.8376 (1.6841)	Prec@1 49.500 (54.959)	Prec@5 81.000 (83.772)
Epoch: [72][2730/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 1.7297 (1.6840)	Prec@1 52.000 (54.964)	Prec@5 81.500 (83.772)
Epoch: [72][2740/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.5021 (1.6838)	Prec@1 60.500 (54.972)	Prec@5 87.000 (83.775)
Epoch: [72][2750/9018]	Time 0.610 (0.623)	Data 0.001 (0.004)	Loss 1.5435 (1.6838)	Prec@1 59.500 (54.977)	Prec@5 83.500 (83.774)
Epoch: [72][2760/9018]	Time 0.619 (0.623)	Data 0.001 (0.004)	Loss 1.5688 (1.6837)	Prec@1 59.500 (54.977)	Prec@5 85.500 (83.777)
Epoch: [72][2770/9018]	Time 0.609 (0.623)	Data 0.001 (0.004)	Loss 1.8524 (1.6837)	Prec@1 53.000 (54.976)	Prec@5 81.000 (83.776)
Epoch: [72][2780/9018]	Time 0.611 (0.623)	Data 0.009 (0.004)	Loss 1.6471 (1.6837)	Prec@1 54.500 (54.976)	Prec@5 83.000 (83.776)
Epoch: [72][2790/9018]	Time 0.594 (0.623)	Data 0.003 (0.004)	Loss 1.6250 (1.6835)	Prec@1 56.000 (54.975)	Prec@5 86.000 (83.777)
Epoch: [72][2800/9018]	Time 0.618 (0.623)	Data 0.001 (0.004)	Loss 1.6907 (1.6837)	Prec@1 52.500 (54.970)	Prec@5 84.000 (83.777)
Epoch: [72][2810/9018]	Time 0.596 (0.623)	Data 0.001 (0.004)	Loss 1.6273 (1.6839)	Prec@1 55.500 (54.968)	Prec@5 85.500 (83.773)
Epoch: [72][2820/9018]	Time 0.613 (0.623)	Data 0.001 (0.004)	Loss 1.9231 (1.6842)	Prec@1 46.000 (54.959)	Prec@5 76.000 (83.769)
Epoch: [72][2830/9018]	Time 0.594 (0.623)	Data 0.001 (0.004)	Loss 1.4856 (1.6842)	Prec@1 60.500 (54.958)	Prec@5 87.000 (83.766)
Epoch: [72][2840/9018]	Time 0.623 (0.623)	Data 0.001 (0.004)	Loss 1.6849 (1.6841)	Prec@1 54.500 (54.959)	Prec@5 85.000 (83.772)
Epoch: [72][2850/9018]	Time 0.626 (0.623)	Data 0.001 (0.004)	Loss 1.8369 (1.6842)	Prec@1 49.000 (54.957)	Prec@5 79.000 (83.768)
Epoch: [72][2860/9018]	Time 0.608 (0.623)	Data 0.001 (0.004)	Loss 1.7407 (1.6843)	Prec@1 54.500 (54.956)	Prec@5 81.000 (83.768)
Epoch: [72][2870/9018]	Time 0.611 (0.623)	Data 0.016 (0.004)	Loss 1.6300 (1.6844)	Prec@1 59.000 (54.954)	Prec@5 83.500 (83.763)
Epoch: [72][2880/9018]	Time 0.643 (0.623)	Data 0.012 (0.004)	Loss 1.4744 (1.6844)	Prec@1 57.500 (54.957)	Prec@5 89.000 (83.767)
Epoch: [72][2890/9018]	Time 0.727 (0.623)	Data 0.016 (0.004)	Loss 1.7235 (1.6845)	Prec@1 52.000 (54.951)	Prec@5 85.000 (83.767)
Epoch: [72][2900/9018]	Time 0.615 (0.623)	Data 0.001 (0.004)	Loss 1.6501 (1.6844)	Prec@1 53.500 (54.952)	Prec@5 86.500 (83.767)
Epoch: [72][2910/9018]	Time 0.608 (0.623)	Data 0.001 (0.004)	Loss 1.7079 (1.6845)	Prec@1 56.500 (54.947)	Prec@5 82.500 (83.764)
Epoch: [72][2920/9018]	Time 0.602 (0.623)	Data 0.001 (0.004)	Loss 1.8172 (1.6846)	Prec@1 59.000 (54.947)	Prec@5 77.000 (83.761)
Epoch: [72][2930/9018]	Time 0.622 (0.623)	Data 0.002 (0.004)	Loss 1.5896 (1.6845)	Prec@1 56.500 (54.948)	Prec@5 84.500 (83.762)
Epoch: [72][2940/9018]	Time 0.726 (0.623)	Data 0.001 (0.004)	Loss 1.8122 (1.6846)	Prec@1 58.500 (54.949)	Prec@5 79.000 (83.762)
Epoch: [72][2950/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.7996 (1.6847)	Prec@1 51.500 (54.944)	Prec@5 81.500 (83.761)
Epoch: [72][2960/9018]	Time 0.634 (0.623)	Data 0.001 (0.004)	Loss 1.4791 (1.6845)	Prec@1 58.500 (54.947)	Prec@5 87.000 (83.763)
Epoch: [72][2970/9018]	Time 0.612 (0.623)	Data 0.001 (0.004)	Loss 1.7519 (1.6844)	Prec@1 55.500 (54.949)	Prec@5 81.000 (83.765)
Epoch: [72][2980/9018]	Time 0.608 (0.623)	Data 0.001 (0.004)	Loss 1.9219 (1.6845)	Prec@1 49.000 (54.949)	Prec@5 77.500 (83.763)
Epoch: [72][2990/9018]	Time 0.627 (0.623)	Data 0.001 (0.004)	Loss 1.8332 (1.6845)	Prec@1 54.500 (54.951)	Prec@5 80.000 (83.762)
Epoch: [72][3000/9018]	Time 0.593 (0.623)	Data 0.001 (0.004)	Loss 1.6308 (1.6842)	Prec@1 58.000 (54.959)	Prec@5 82.000 (83.766)
Epoch: [72][3010/9018]	Time 0.608 (0.623)	Data 0.001 (0.004)	Loss 1.6132 (1.6840)	Prec@1 56.000 (54.963)	Prec@5 86.500 (83.772)
Epoch: [72][3020/9018]	Time 0.606 (0.623)	Data 0.001 (0.004)	Loss 1.7046 (1.6839)	Prec@1 52.500 (54.965)	Prec@5 82.500 (83.771)
Epoch: [72][3030/9018]	Time 0.592 (0.623)	Data 0.001 (0.004)	Loss 1.7167 (1.6839)	Prec@1 53.500 (54.965)	Prec@5 83.500 (83.766)
Epoch: [72][3040/9018]	Time 0.615 (0.623)	Data 0.017 (0.004)	Loss 1.7281 (1.6840)	Prec@1 54.000 (54.964)	Prec@5 79.500 (83.764)
Epoch: [72][3050/9018]	Time 0.637 (0.623)	Data 0.015 (0.004)	Loss 1.6374 (1.6841)	Prec@1 61.000 (54.965)	Prec@5 84.500 (83.762)
Epoch: [72][3060/9018]	Time 0.595 (0.623)	Data 0.001 (0.004)	Loss 1.5741 (1.6842)	Prec@1 55.500 (54.961)	Prec@5 86.500 (83.764)
Epoch: [72][3070/9018]	Time 0.602 (0.623)	Data 0.010 (0.004)	Loss 1.7112 (1.6840)	Prec@1 56.500 (54.961)	Prec@5 84.500 (83.766)
Epoch: [72][3080/9018]	Time 0.601 (0.623)	Data 0.001 (0.004)	Loss 1.7150 (1.6840)	Prec@1 57.500 (54.964)	Prec@5 83.500 (83.768)
Epoch: [72][3090/9018]	Time 0.615 (0.623)	Data 0.001 (0.004)	Loss 1.5577 (1.6838)	Prec@1 56.500 (54.969)	Prec@5 87.000 (83.772)
Epoch: [72][3100/9018]	Time 0.618 (0.623)	Data 0.001 (0.004)	Loss 1.6152 (1.6840)	Prec@1 59.000 (54.969)	Prec@5 81.500 (83.768)
Epoch: [72][3110/9018]	Time 0.615 (0.623)	Data 0.013 (0.004)	Loss 1.7277 (1.6843)	Prec@1 53.500 (54.957)	Prec@5 82.000 (83.761)
Epoch: [72][3120/9018]	Time 0.603 (0.623)	Data 0.001 (0.004)	Loss 2.0062 (1.6845)	Prec@1 50.000 (54.952)	Prec@5 80.500 (83.758)
Epoch: [72][3130/9018]	Time 0.607 (0.623)	Data 0.005 (0.004)	Loss 1.8143 (1.6844)	Prec@1 51.500 (54.953)	Prec@5 81.000 (83.757)
Epoch: [72][3140/9018]	Time 0.623 (0.623)	Data 0.001 (0.004)	Loss 1.5829 (1.6845)	Prec@1 57.000 (54.953)	Prec@5 84.500 (83.755)
Epoch: [72][3150/9018]	Time 0.608 (0.623)	Data 0.001 (0.004)	Loss 1.7750 (1.6845)	Prec@1 50.000 (54.953)	Prec@5 83.500 (83.755)
Epoch: [72][3160/9018]	Time 0.635 (0.623)	Data 0.001 (0.004)	Loss 1.6136 (1.6845)	Prec@1 57.500 (54.953)	Prec@5 86.500 (83.755)
Epoch: [72][3170/9018]	Time 0.625 (0.623)	Data 0.001 (0.004)	Loss 1.7445 (1.6844)	Prec@1 47.500 (54.959)	Prec@5 84.000 (83.757)
Epoch: [72][3180/9018]	Time 0.614 (0.623)	Data 0.007 (0.004)	Loss 1.7609 (1.6846)	Prec@1 51.500 (54.952)	Prec@5 81.500 (83.755)
Epoch: [72][3190/9018]	Time 0.599 (0.623)	Data 0.016 (0.004)	Loss 1.6576 (1.6845)	Prec@1 54.500 (54.951)	Prec@5 86.500 (83.756)
Epoch: [72][3200/9018]	Time 0.609 (0.623)	Data 0.001 (0.004)	Loss 1.6536 (1.6844)	Prec@1 59.000 (54.953)	Prec@5 82.000 (83.757)
Epoch: [72][3210/9018]	Time 0.623 (0.623)	Data 0.001 (0.004)	Loss 1.7313 (1.6846)	Prec@1 52.500 (54.950)	Prec@5 83.500 (83.756)
Epoch: [72][3220/9018]	Time 0.779 (0.623)	Data 0.015 (0.004)	Loss 1.7222 (1.6848)	Prec@1 53.000 (54.944)	Prec@5 84.000 (83.753)
Epoch: [72][3230/9018]	Time 0.598 (0.623)	Data 0.001 (0.004)	Loss 1.5087 (1.6846)	Prec@1 56.500 (54.947)	Prec@5 87.000 (83.758)
Epoch: [72][3240/9018]	Time 0.623 (0.623)	Data 0.001 (0.004)	Loss 1.6567 (1.6844)	Prec@1 54.000 (54.952)	Prec@5 84.500 (83.759)
Epoch: [72][3250/9018]	Time 0.606 (0.623)	Data 0.001 (0.004)	Loss 1.8343 (1.6845)	Prec@1 53.000 (54.954)	Prec@5 82.000 (83.756)
Epoch: [72][3260/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.8050 (1.6845)	Prec@1 50.000 (54.952)	Prec@5 83.500 (83.759)
Epoch: [72][3270/9018]	Time 0.773 (0.623)	Data 0.001 (0.004)	Loss 1.7202 (1.6845)	Prec@1 54.500 (54.954)	Prec@5 83.000 (83.761)
Epoch: [72][3280/9018]	Time 0.607 (0.623)	Data 0.001 (0.004)	Loss 1.8784 (1.6845)	Prec@1 47.500 (54.954)	Prec@5 82.500 (83.760)
Epoch: [72][3290/9018]	Time 0.635 (0.623)	Data 0.015 (0.004)	Loss 1.7543 (1.6845)	Prec@1 53.000 (54.955)	Prec@5 81.000 (83.759)
Epoch: [72][3300/9018]	Time 0.612 (0.623)	Data 0.001 (0.004)	Loss 1.9003 (1.6846)	Prec@1 52.500 (54.953)	Prec@5 79.000 (83.759)
Epoch: [72][3310/9018]	Time 0.603 (0.623)	Data 0.001 (0.004)	Loss 1.6268 (1.6845)	Prec@1 54.500 (54.954)	Prec@5 86.500 (83.761)
Epoch: [72][3320/9018]	Time 0.615 (0.623)	Data 0.001 (0.004)	Loss 1.6484 (1.6846)	Prec@1 49.500 (54.949)	Prec@5 84.500 (83.757)
Epoch: [72][3330/9018]	Time 0.614 (0.623)	Data 0.001 (0.004)	Loss 1.8404 (1.6847)	Prec@1 51.500 (54.946)	Prec@5 81.500 (83.756)
Epoch: [72][3340/9018]	Time 0.606 (0.623)	Data 0.001 (0.004)	Loss 1.6590 (1.6847)	Prec@1 55.500 (54.944)	Prec@5 85.500 (83.754)
Epoch: [72][3350/9018]	Time 0.603 (0.623)	Data 0.016 (0.004)	Loss 1.6130 (1.6848)	Prec@1 55.500 (54.942)	Prec@5 86.000 (83.755)
Epoch: [72][3360/9018]	Time 0.600 (0.623)	Data 0.001 (0.004)	Loss 1.6707 (1.6848)	Prec@1 53.500 (54.940)	Prec@5 84.500 (83.756)
Epoch: [72][3370/9018]	Time 0.629 (0.623)	Data 0.002 (0.004)	Loss 1.6600 (1.6846)	Prec@1 54.500 (54.946)	Prec@5 87.000 (83.760)
Epoch: [72][3380/9018]	Time 0.616 (0.623)	Data 0.001 (0.004)	Loss 1.8304 (1.6848)	Prec@1 53.000 (54.944)	Prec@5 81.000 (83.757)
Epoch: [72][3390/9018]	Time 0.595 (0.623)	Data 0.001 (0.004)	Loss 1.6638 (1.6847)	Prec@1 56.500 (54.947)	Prec@5 85.500 (83.759)
Epoch: [72][3400/9018]	Time 0.619 (0.623)	Data 0.001 (0.004)	Loss 1.6868 (1.6847)	Prec@1 56.500 (54.947)	Prec@5 81.500 (83.759)
Epoch: [72][3410/9018]	Time 0.603 (0.623)	Data 0.001 (0.004)	Loss 1.6339 (1.6848)	Prec@1 54.500 (54.939)	Prec@5 85.500 (83.759)
Epoch: [72][3420/9018]	Time 0.596 (0.623)	Data 0.016 (0.004)	Loss 1.6323 (1.6850)	Prec@1 54.000 (54.933)	Prec@5 84.000 (83.755)
Epoch: [72][3430/9018]	Time 0.617 (0.623)	Data 0.016 (0.004)	Loss 1.7935 (1.6849)	Prec@1 52.000 (54.931)	Prec@5 81.000 (83.759)
Epoch: [72][3440/9018]	Time 0.619 (0.623)	Data 0.014 (0.004)	Loss 1.7930 (1.6851)	Prec@1 55.500 (54.930)	Prec@5 82.000 (83.755)
Epoch: [72][3450/9018]	Time 0.622 (0.623)	Data 0.001 (0.004)	Loss 1.7448 (1.6851)	Prec@1 56.500 (54.932)	Prec@5 83.000 (83.752)
Epoch: [72][3460/9018]	Time 0.591 (0.623)	Data 0.001 (0.004)	Loss 1.6428 (1.6850)	Prec@1 55.000 (54.931)	Prec@5 82.500 (83.752)
Epoch: [72][3470/9018]	Time 0.637 (0.623)	Data 0.001 (0.004)	Loss 1.5831 (1.6851)	Prec@1 55.500 (54.931)	Prec@5 84.000 (83.750)
Epoch: [72][3480/9018]	Time 0.606 (0.623)	Data 0.001 (0.004)	Loss 2.0113 (1.6853)	Prec@1 49.500 (54.924)	Prec@5 79.000 (83.746)
Epoch: [72][3490/9018]	Time 0.622 (0.623)	Data 0.015 (0.004)	Loss 1.5886 (1.6853)	Prec@1 56.000 (54.925)	Prec@5 83.000 (83.747)
Epoch: [72][3500/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.5543 (1.6853)	Prec@1 58.000 (54.925)	Prec@5 84.000 (83.749)
Epoch: [72][3510/9018]	Time 0.593 (0.623)	Data 0.001 (0.004)	Loss 1.7172 (1.6851)	Prec@1 51.000 (54.929)	Prec@5 85.500 (83.752)
Epoch: [72][3520/9018]	Time 0.603 (0.623)	Data 0.001 (0.004)	Loss 1.6388 (1.6851)	Prec@1 57.000 (54.928)	Prec@5 83.500 (83.750)
Epoch: [72][3530/9018]	Time 0.630 (0.623)	Data 0.001 (0.004)	Loss 1.6718 (1.6849)	Prec@1 54.000 (54.930)	Prec@5 82.000 (83.753)
Epoch: [72][3540/9018]	Time 0.591 (0.623)	Data 0.001 (0.004)	Loss 1.8299 (1.6850)	Prec@1 53.500 (54.928)	Prec@5 80.000 (83.750)
Epoch: [72][3550/9018]	Time 0.778 (0.623)	Data 0.001 (0.004)	Loss 1.8837 (1.6850)	Prec@1 49.500 (54.925)	Prec@5 80.500 (83.750)
Epoch: [72][3560/9018]	Time 0.612 (0.623)	Data 0.001 (0.004)	Loss 1.5808 (1.6852)	Prec@1 54.000 (54.922)	Prec@5 85.500 (83.747)
Epoch: [72][3570/9018]	Time 0.608 (0.623)	Data 0.001 (0.004)	Loss 1.5485 (1.6852)	Prec@1 60.000 (54.924)	Prec@5 86.500 (83.747)
Epoch: [72][3580/9018]	Time 0.626 (0.623)	Data 0.018 (0.004)	Loss 1.5868 (1.6853)	Prec@1 52.000 (54.921)	Prec@5 87.500 (83.747)
Epoch: [72][3590/9018]	Time 0.632 (0.623)	Data 0.011 (0.004)	Loss 1.8694 (1.6853)	Prec@1 46.500 (54.921)	Prec@5 81.000 (83.743)
Epoch: [72][3600/9018]	Time 0.734 (0.623)	Data 0.001 (0.004)	Loss 1.7810 (1.6855)	Prec@1 54.500 (54.919)	Prec@5 82.500 (83.739)
Epoch: [72][3610/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.7536 (1.6856)	Prec@1 52.500 (54.913)	Prec@5 84.000 (83.738)
Epoch: [72][3620/9018]	Time 0.607 (0.623)	Data 0.001 (0.004)	Loss 1.5550 (1.6857)	Prec@1 55.000 (54.911)	Prec@5 85.000 (83.735)
Epoch: [72][3630/9018]	Time 0.592 (0.623)	Data 0.001 (0.004)	Loss 1.4732 (1.6857)	Prec@1 57.500 (54.910)	Prec@5 87.000 (83.737)
Epoch: [72][3640/9018]	Time 0.595 (0.623)	Data 0.001 (0.004)	Loss 1.7037 (1.6855)	Prec@1 52.500 (54.915)	Prec@5 87.500 (83.741)
Epoch: [72][3650/9018]	Time 0.632 (0.623)	Data 0.001 (0.004)	Loss 1.6905 (1.6854)	Prec@1 54.000 (54.917)	Prec@5 82.500 (83.740)
Epoch: [72][3660/9018]	Time 0.616 (0.623)	Data 0.001 (0.004)	Loss 1.6562 (1.6855)	Prec@1 55.000 (54.914)	Prec@5 83.500 (83.740)
Epoch: [72][3670/9018]	Time 0.617 (0.623)	Data 0.001 (0.004)	Loss 1.8697 (1.6855)	Prec@1 53.500 (54.916)	Prec@5 81.500 (83.742)
Epoch: [72][3680/9018]	Time 0.647 (0.623)	Data 0.001 (0.004)	Loss 1.8488 (1.6856)	Prec@1 50.000 (54.909)	Prec@5 81.000 (83.740)
Epoch: [72][3690/9018]	Time 0.595 (0.623)	Data 0.001 (0.004)	Loss 1.8413 (1.6857)	Prec@1 54.000 (54.908)	Prec@5 81.500 (83.738)
Epoch: [72][3700/9018]	Time 0.622 (0.623)	Data 0.001 (0.004)	Loss 1.7576 (1.6857)	Prec@1 55.000 (54.909)	Prec@5 83.500 (83.740)
Epoch: [72][3710/9018]	Time 0.604 (0.623)	Data 0.001 (0.004)	Loss 1.8984 (1.6859)	Prec@1 49.500 (54.905)	Prec@5 80.000 (83.735)
Epoch: [72][3720/9018]	Time 0.626 (0.623)	Data 0.001 (0.004)	Loss 1.5567 (1.6858)	Prec@1 59.500 (54.909)	Prec@5 87.500 (83.737)
Epoch: [72][3730/9018]	Time 0.598 (0.623)	Data 0.001 (0.004)	Loss 1.6530 (1.6858)	Prec@1 54.000 (54.904)	Prec@5 84.500 (83.737)
Epoch: [72][3740/9018]	Time 0.615 (0.623)	Data 0.001 (0.004)	Loss 1.6484 (1.6858)	Prec@1 54.500 (54.908)	Prec@5 85.000 (83.738)
Epoch: [72][3750/9018]	Time 0.657 (0.623)	Data 0.001 (0.004)	Loss 1.5534 (1.6857)	Prec@1 54.500 (54.908)	Prec@5 85.000 (83.739)
Epoch: [72][3760/9018]	Time 0.636 (0.623)	Data 0.001 (0.004)	Loss 1.5844 (1.6858)	Prec@1 57.500 (54.903)	Prec@5 87.000 (83.737)
Epoch: [72][3770/9018]	Time 0.612 (0.623)	Data 0.001 (0.004)	Loss 1.5140 (1.6858)	Prec@1 60.500 (54.907)	Prec@5 87.500 (83.736)
Epoch: [72][3780/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 1.7551 (1.6859)	Prec@1 52.500 (54.906)	Prec@5 84.000 (83.734)
Epoch: [72][3790/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.7954 (1.6857)	Prec@1 55.000 (54.910)	Prec@5 82.500 (83.736)
Epoch: [72][3800/9018]	Time 0.648 (0.623)	Data 0.001 (0.004)	Loss 1.8380 (1.6856)	Prec@1 49.500 (54.915)	Prec@5 84.500 (83.738)
Epoch: [72][3810/9018]	Time 0.607 (0.623)	Data 0.016 (0.004)	Loss 1.4961 (1.6856)	Prec@1 59.500 (54.914)	Prec@5 88.000 (83.739)
Epoch: [72][3820/9018]	Time 0.592 (0.623)	Data 0.001 (0.004)	Loss 1.5377 (1.6856)	Prec@1 55.500 (54.914)	Prec@5 86.500 (83.739)
Epoch: [72][3830/9018]	Time 0.628 (0.623)	Data 0.001 (0.004)	Loss 1.5421 (1.6856)	Prec@1 57.500 (54.915)	Prec@5 86.500 (83.741)
Epoch: [72][3840/9018]	Time 0.613 (0.623)	Data 0.001 (0.004)	Loss 1.5956 (1.6854)	Prec@1 59.500 (54.919)	Prec@5 84.500 (83.745)
Epoch: [72][3850/9018]	Time 0.604 (0.623)	Data 0.017 (0.004)	Loss 1.8114 (1.6854)	Prec@1 53.500 (54.918)	Prec@5 80.500 (83.743)
Epoch: [72][3860/9018]	Time 0.628 (0.623)	Data 0.001 (0.004)	Loss 1.8237 (1.6855)	Prec@1 51.500 (54.914)	Prec@5 81.000 (83.742)
Epoch: [72][3870/9018]	Time 0.617 (0.623)	Data 0.001 (0.004)	Loss 1.5724 (1.6855)	Prec@1 59.000 (54.914)	Prec@5 87.500 (83.742)
Epoch: [72][3880/9018]	Time 0.766 (0.623)	Data 0.001 (0.004)	Loss 1.7519 (1.6857)	Prec@1 54.000 (54.910)	Prec@5 84.500 (83.741)
Epoch: [72][3890/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.6626 (1.6856)	Prec@1 52.000 (54.908)	Prec@5 84.000 (83.743)
Epoch: [72][3900/9018]	Time 0.609 (0.623)	Data 0.001 (0.004)	Loss 1.7401 (1.6855)	Prec@1 54.500 (54.909)	Prec@5 84.500 (83.744)
Epoch: [72][3910/9018]	Time 0.627 (0.623)	Data 0.003 (0.004)	Loss 1.6266 (1.6856)	Prec@1 55.500 (54.907)	Prec@5 83.000 (83.744)
Epoch: [72][3920/9018]	Time 0.657 (0.623)	Data 0.013 (0.004)	Loss 1.8245 (1.6857)	Prec@1 54.500 (54.909)	Prec@5 81.000 (83.739)
Epoch: [72][3930/9018]	Time 0.821 (0.623)	Data 0.001 (0.004)	Loss 1.8848 (1.6856)	Prec@1 48.500 (54.911)	Prec@5 82.000 (83.742)
Epoch: [72][3940/9018]	Time 0.591 (0.623)	Data 0.001 (0.004)	Loss 1.5578 (1.6857)	Prec@1 54.000 (54.911)	Prec@5 85.000 (83.741)
Epoch: [72][3950/9018]	Time 0.624 (0.623)	Data 0.001 (0.004)	Loss 1.7361 (1.6857)	Prec@1 55.500 (54.909)	Prec@5 80.500 (83.741)
Epoch: [72][3960/9018]	Time 0.618 (0.623)	Data 0.001 (0.004)	Loss 1.7244 (1.6857)	Prec@1 53.000 (54.907)	Prec@5 82.000 (83.740)
Epoch: [72][3970/9018]	Time 0.625 (0.623)	Data 0.014 (0.004)	Loss 1.6900 (1.6857)	Prec@1 53.500 (54.906)	Prec@5 84.000 (83.744)
Epoch: [72][3980/9018]	Time 0.594 (0.623)	Data 0.001 (0.004)	Loss 1.7075 (1.6857)	Prec@1 48.000 (54.903)	Prec@5 84.000 (83.744)
Epoch: [72][3990/9018]	Time 0.629 (0.623)	Data 0.001 (0.004)	Loss 1.6283 (1.6858)	Prec@1 59.000 (54.902)	Prec@5 84.000 (83.743)
Epoch: [72][4000/9018]	Time 0.620 (0.623)	Data 0.016 (0.004)	Loss 1.7643 (1.6857)	Prec@1 52.500 (54.900)	Prec@5 82.000 (83.744)
Epoch: [72][4010/9018]	Time 0.631 (0.623)	Data 0.001 (0.004)	Loss 1.7078 (1.6859)	Prec@1 52.500 (54.896)	Prec@5 86.500 (83.740)
Epoch: [72][4020/9018]	Time 0.639 (0.623)	Data 0.001 (0.004)	Loss 1.6185 (1.6860)	Prec@1 56.500 (54.893)	Prec@5 85.000 (83.738)
Epoch: [72][4030/9018]	Time 0.606 (0.623)	Data 0.003 (0.004)	Loss 1.7010 (1.6861)	Prec@1 54.000 (54.892)	Prec@5 83.000 (83.738)
Epoch: [72][4040/9018]	Time 0.633 (0.623)	Data 0.015 (0.004)	Loss 1.8652 (1.6861)	Prec@1 55.000 (54.891)	Prec@5 80.000 (83.736)
Epoch: [72][4050/9018]	Time 0.612 (0.623)	Data 0.014 (0.004)	Loss 1.8700 (1.6862)	Prec@1 51.500 (54.888)	Prec@5 79.500 (83.735)
Epoch: [72][4060/9018]	Time 0.599 (0.623)	Data 0.001 (0.004)	Loss 1.7936 (1.6864)	Prec@1 50.000 (54.884)	Prec@5 82.000 (83.732)
Epoch: [72][4070/9018]	Time 0.628 (0.623)	Data 0.001 (0.004)	Loss 1.6596 (1.6866)	Prec@1 57.000 (54.879)	Prec@5 84.000 (83.730)
Epoch: [72][4080/9018]	Time 0.621 (0.623)	Data 0.001 (0.004)	Loss 1.7685 (1.6866)	Prec@1 54.500 (54.878)	Prec@5 82.000 (83.731)
Epoch: [72][4090/9018]	Time 0.619 (0.623)	Data 0.015 (0.004)	Loss 1.4962 (1.6865)	Prec@1 58.500 (54.878)	Prec@5 87.000 (83.732)
Epoch: [72][4100/9018]	Time 0.624 (0.623)	Data 0.001 (0.004)	Loss 1.7399 (1.6864)	Prec@1 52.000 (54.882)	Prec@5 82.000 (83.730)
Epoch: [72][4110/9018]	Time 0.602 (0.623)	Data 0.001 (0.004)	Loss 1.5056 (1.6865)	Prec@1 59.000 (54.885)	Prec@5 82.500 (83.729)
Epoch: [72][4120/9018]	Time 0.640 (0.623)	Data 0.001 (0.004)	Loss 1.4848 (1.6865)	Prec@1 64.500 (54.886)	Prec@5 88.000 (83.729)
Epoch: [72][4130/9018]	Time 0.599 (0.623)	Data 0.001 (0.004)	Loss 1.6731 (1.6867)	Prec@1 54.500 (54.880)	Prec@5 83.000 (83.725)
Epoch: [72][4140/9018]	Time 0.647 (0.623)	Data 0.001 (0.004)	Loss 1.6941 (1.6868)	Prec@1 52.500 (54.879)	Prec@5 82.500 (83.723)
Epoch: [72][4150/9018]	Time 0.605 (0.623)	Data 0.001 (0.004)	Loss 1.7770 (1.6868)	Prec@1 50.500 (54.879)	Prec@5 83.500 (83.723)
Epoch: [72][4160/9018]	Time 0.612 (0.623)	Data 0.001 (0.004)	Loss 1.6022 (1.6868)	Prec@1 59.000 (54.881)	Prec@5 86.000 (83.724)
Epoch: [72][4170/9018]	Time 0.587 (0.623)	Data 0.001 (0.004)	Loss 1.6522 (1.6868)	Prec@1 56.500 (54.880)	Prec@5 82.000 (83.724)
Epoch: [72][4180/9018]	Time 0.607 (0.623)	Data 0.001 (0.004)	Loss 1.8226 (1.6868)	Prec@1 54.500 (54.879)	Prec@5 81.500 (83.720)
Epoch: [72][4190/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.6311 (1.6868)	Prec@1 57.500 (54.881)	Prec@5 82.500 (83.717)
Epoch: [72][4200/9018]	Time 0.620 (0.623)	Data 0.001 (0.004)	Loss 1.7438 (1.6870)	Prec@1 50.000 (54.878)	Prec@5 81.000 (83.714)
Epoch: [72][4210/9018]	Time 0.747 (0.623)	Data 0.001 (0.004)	Loss 1.6594 (1.6868)	Prec@1 56.500 (54.881)	Prec@5 82.000 (83.716)
Epoch: [72][4220/9018]	Time 0.636 (0.623)	Data 0.001 (0.004)	Loss 1.7462 (1.6868)	Prec@1 51.500 (54.880)	Prec@5 85.000 (83.715)
Epoch: [72][4230/9018]	Time 0.604 (0.623)	Data 0.001 (0.004)	Loss 1.7108 (1.6868)	Prec@1 56.000 (54.880)	Prec@5 83.500 (83.715)
Epoch: [72][4240/9018]	Time 0.615 (0.623)	Data 0.011 (0.004)	Loss 1.4417 (1.6867)	Prec@1 59.500 (54.878)	Prec@5 87.500 (83.717)
Epoch: [72][4250/9018]	Time 0.593 (0.623)	Data 0.001 (0.004)	Loss 1.7888 (1.6867)	Prec@1 53.500 (54.880)	Prec@5 82.500 (83.718)
Epoch: [72][4260/9018]	Time 0.754 (0.623)	Data 0.001 (0.004)	Loss 1.6768 (1.6866)	Prec@1 54.000 (54.879)	Prec@5 82.500 (83.720)
Epoch: [72][4270/9018]	Time 0.617 (0.623)	Data 0.001 (0.004)	Loss 1.7622 (1.6865)	Prec@1 51.500 (54.880)	Prec@5 83.500 (83.723)
Epoch: [72][4280/9018]	Time 0.654 (0.623)	Data 0.001 (0.004)	Loss 1.6665 (1.6866)	Prec@1 54.500 (54.878)	Prec@5 85.500 (83.721)
Epoch: [72][4290/9018]	Time 0.616 (0.623)	Data 0.016 (0.004)	Loss 1.6958 (1.6866)	Prec@1 53.000 (54.878)	Prec@5 82.500 (83.722)
Epoch: [72][4300/9018]	Time 0.646 (0.623)	Data 0.001 (0.004)	Loss 1.6150 (1.6868)	Prec@1 57.500 (54.875)	Prec@5 86.500 (83.719)
Epoch: [72][4310/9018]	Time 0.617 (0.623)	Data 0.001 (0.004)	Loss 1.8317 (1.6868)	Prec@1 52.000 (54.873)	Prec@5 78.500 (83.716)
Epoch: [72][4320/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.6093 (1.6869)	Prec@1 59.000 (54.872)	Prec@5 87.000 (83.714)
Epoch: [72][4330/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.8182 (1.6870)	Prec@1 51.000 (54.873)	Prec@5 82.500 (83.715)
Epoch: [72][4340/9018]	Time 0.618 (0.623)	Data 0.010 (0.003)	Loss 1.5764 (1.6871)	Prec@1 55.500 (54.872)	Prec@5 88.000 (83.714)
Epoch: [72][4350/9018]	Time 0.610 (0.623)	Data 0.007 (0.003)	Loss 1.5645 (1.6871)	Prec@1 54.000 (54.872)	Prec@5 89.500 (83.714)
Epoch: [72][4360/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.7130 (1.6871)	Prec@1 50.500 (54.873)	Prec@5 84.500 (83.712)
Epoch: [72][4370/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.5545 (1.6869)	Prec@1 56.500 (54.876)	Prec@5 85.000 (83.714)
Epoch: [72][4380/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8870 (1.6870)	Prec@1 47.000 (54.877)	Prec@5 80.000 (83.711)
Epoch: [72][4390/9018]	Time 0.625 (0.623)	Data 0.018 (0.003)	Loss 1.6326 (1.6870)	Prec@1 56.500 (54.875)	Prec@5 84.500 (83.710)
Epoch: [72][4400/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6790 (1.6871)	Prec@1 55.500 (54.871)	Prec@5 82.000 (83.710)
Epoch: [72][4410/9018]	Time 0.650 (0.623)	Data 0.001 (0.003)	Loss 1.6808 (1.6872)	Prec@1 55.000 (54.869)	Prec@5 82.500 (83.710)
Epoch: [72][4420/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7340 (1.6872)	Prec@1 50.500 (54.865)	Prec@5 83.000 (83.710)
Epoch: [72][4430/9018]	Time 0.653 (0.623)	Data 0.001 (0.003)	Loss 1.7311 (1.6874)	Prec@1 51.000 (54.862)	Prec@5 81.500 (83.708)
Epoch: [72][4440/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.5834 (1.6874)	Prec@1 58.500 (54.864)	Prec@5 86.000 (83.710)
Epoch: [72][4450/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6948 (1.6875)	Prec@1 55.500 (54.861)	Prec@5 82.500 (83.706)
Epoch: [72][4460/9018]	Time 0.657 (0.623)	Data 0.001 (0.003)	Loss 1.7394 (1.6876)	Prec@1 56.000 (54.863)	Prec@5 81.500 (83.705)
Epoch: [72][4470/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7131 (1.6876)	Prec@1 53.000 (54.862)	Prec@5 85.000 (83.704)
Epoch: [72][4480/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.7171 (1.6877)	Prec@1 49.500 (54.855)	Prec@5 87.500 (83.702)
Epoch: [72][4490/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8566 (1.6879)	Prec@1 49.500 (54.852)	Prec@5 80.500 (83.698)
Epoch: [72][4500/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7314 (1.6880)	Prec@1 56.500 (54.849)	Prec@5 82.500 (83.697)
Epoch: [72][4510/9018]	Time 0.609 (0.623)	Data 0.013 (0.003)	Loss 1.6363 (1.6880)	Prec@1 57.000 (54.846)	Prec@5 85.000 (83.696)
Epoch: [72][4520/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6704 (1.6879)	Prec@1 56.000 (54.848)	Prec@5 82.500 (83.699)
Epoch: [72][4530/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8533 (1.6878)	Prec@1 53.500 (54.849)	Prec@5 79.500 (83.700)
Epoch: [72][4540/9018]	Time 0.744 (0.623)	Data 0.001 (0.003)	Loss 1.9727 (1.6878)	Prec@1 47.000 (54.847)	Prec@5 79.500 (83.700)
Epoch: [72][4550/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.5879 (1.6878)	Prec@1 58.000 (54.845)	Prec@5 87.500 (83.703)
Epoch: [72][4560/9018]	Time 0.616 (0.623)	Data 0.014 (0.003)	Loss 1.6544 (1.6877)	Prec@1 59.500 (54.851)	Prec@5 83.000 (83.706)
Epoch: [72][4570/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.6353 (1.6876)	Prec@1 55.500 (54.857)	Prec@5 88.000 (83.707)
Epoch: [72][4580/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.4563 (1.6876)	Prec@1 61.500 (54.855)	Prec@5 86.000 (83.705)
Epoch: [72][4590/9018]	Time 0.746 (0.623)	Data 0.001 (0.003)	Loss 1.7611 (1.6876)	Prec@1 54.000 (54.855)	Prec@5 83.000 (83.703)
Epoch: [72][4600/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6248 (1.6877)	Prec@1 56.500 (54.853)	Prec@5 85.500 (83.703)
Epoch: [72][4610/9018]	Time 0.619 (0.623)	Data 0.014 (0.003)	Loss 1.6977 (1.6876)	Prec@1 55.500 (54.854)	Prec@5 83.000 (83.703)
Epoch: [72][4620/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7818 (1.6877)	Prec@1 54.000 (54.855)	Prec@5 83.500 (83.705)
Epoch: [72][4630/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.5711 (1.6877)	Prec@1 56.500 (54.852)	Prec@5 87.000 (83.705)
Epoch: [72][4640/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.7933 (1.6879)	Prec@1 53.500 (54.850)	Prec@5 80.000 (83.700)
Epoch: [72][4650/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.6713 (1.6878)	Prec@1 53.000 (54.850)	Prec@5 86.500 (83.703)
Epoch: [72][4660/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.5807 (1.6878)	Prec@1 55.500 (54.848)	Prec@5 86.500 (83.703)
Epoch: [72][4670/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.6779 (1.6878)	Prec@1 53.000 (54.846)	Prec@5 83.000 (83.703)
Epoch: [72][4680/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7044 (1.6878)	Prec@1 54.500 (54.845)	Prec@5 83.000 (83.702)
Epoch: [72][4690/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.6812 (1.6880)	Prec@1 54.500 (54.842)	Prec@5 86.000 (83.700)
Epoch: [72][4700/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8519 (1.6879)	Prec@1 51.500 (54.844)	Prec@5 81.500 (83.703)
Epoch: [72][4710/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8821 (1.6880)	Prec@1 50.000 (54.840)	Prec@5 79.000 (83.699)
Epoch: [72][4720/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7841 (1.6881)	Prec@1 53.000 (54.836)	Prec@5 80.000 (83.697)
Epoch: [72][4730/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.5343 (1.6882)	Prec@1 56.000 (54.836)	Prec@5 86.500 (83.694)
Epoch: [72][4740/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.6634 (1.6882)	Prec@1 58.000 (54.835)	Prec@5 84.000 (83.694)
Epoch: [72][4750/9018]	Time 0.619 (0.623)	Data 0.015 (0.003)	Loss 1.6905 (1.6882)	Prec@1 50.500 (54.833)	Prec@5 84.000 (83.694)
Epoch: [72][4760/9018]	Time 0.658 (0.623)	Data 0.003 (0.003)	Loss 1.9370 (1.6883)	Prec@1 56.000 (54.830)	Prec@5 77.000 (83.691)
Epoch: [72][4770/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5753 (1.6883)	Prec@1 57.500 (54.832)	Prec@5 86.500 (83.691)
Epoch: [72][4780/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6700 (1.6882)	Prec@1 55.500 (54.833)	Prec@5 80.500 (83.692)
Epoch: [72][4790/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.8292 (1.6882)	Prec@1 51.000 (54.835)	Prec@5 80.500 (83.694)
Epoch: [72][4800/9018]	Time 0.624 (0.623)	Data 0.013 (0.003)	Loss 1.4857 (1.6881)	Prec@1 60.000 (54.833)	Prec@5 88.000 (83.695)
Epoch: [72][4810/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6674 (1.6880)	Prec@1 57.000 (54.834)	Prec@5 85.000 (83.696)
Epoch: [72][4820/9018]	Time 0.653 (0.623)	Data 0.001 (0.003)	Loss 1.5398 (1.6879)	Prec@1 57.500 (54.837)	Prec@5 84.500 (83.698)
Epoch: [72][4830/9018]	Time 0.639 (0.623)	Data 0.014 (0.003)	Loss 1.6510 (1.6879)	Prec@1 58.500 (54.838)	Prec@5 83.500 (83.698)
Epoch: [72][4840/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7925 (1.6881)	Prec@1 55.500 (54.835)	Prec@5 80.500 (83.692)
Epoch: [72][4850/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.7226 (1.6882)	Prec@1 52.500 (54.828)	Prec@5 82.500 (83.691)
Epoch: [72][4860/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7289 (1.6882)	Prec@1 55.500 (54.831)	Prec@5 83.500 (83.692)
Epoch: [72][4870/9018]	Time 0.788 (0.623)	Data 0.001 (0.003)	Loss 1.6033 (1.6880)	Prec@1 56.500 (54.837)	Prec@5 86.500 (83.694)
Epoch: [72][4880/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.5740 (1.6880)	Prec@1 56.000 (54.837)	Prec@5 84.000 (83.694)
Epoch: [72][4890/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.6779 (1.6880)	Prec@1 53.500 (54.839)	Prec@5 83.000 (83.696)
Epoch: [72][4900/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.7252 (1.6881)	Prec@1 51.000 (54.838)	Prec@5 82.500 (83.692)
Epoch: [72][4910/9018]	Time 0.637 (0.623)	Data 0.013 (0.003)	Loss 1.7514 (1.6881)	Prec@1 49.500 (54.838)	Prec@5 86.500 (83.692)
Epoch: [72][4920/9018]	Time 0.747 (0.623)	Data 0.001 (0.003)	Loss 1.7266 (1.6881)	Prec@1 57.500 (54.836)	Prec@5 83.000 (83.692)
Epoch: [72][4930/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7419 (1.6882)	Prec@1 57.500 (54.838)	Prec@5 81.500 (83.689)
Epoch: [72][4940/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.5151 (1.6881)	Prec@1 57.000 (54.837)	Prec@5 84.500 (83.689)
Epoch: [72][4950/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.5149 (1.6880)	Prec@1 59.500 (54.840)	Prec@5 89.000 (83.691)
Epoch: [72][4960/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.4590 (1.6881)	Prec@1 59.000 (54.839)	Prec@5 89.500 (83.690)
Epoch: [72][4970/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.5310 (1.6881)	Prec@1 55.000 (54.841)	Prec@5 88.500 (83.690)
Epoch: [72][4980/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.8356 (1.6881)	Prec@1 52.500 (54.842)	Prec@5 79.000 (83.690)
Epoch: [72][4990/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.8516 (1.6881)	Prec@1 52.500 (54.840)	Prec@5 80.000 (83.690)
Epoch: [72][5000/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6871 (1.6881)	Prec@1 54.000 (54.837)	Prec@5 85.500 (83.688)
Epoch: [72][5010/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.7488 (1.6881)	Prec@1 51.000 (54.836)	Prec@5 85.000 (83.689)
Epoch: [72][5020/9018]	Time 0.637 (0.623)	Data 0.015 (0.003)	Loss 1.9664 (1.6882)	Prec@1 49.500 (54.835)	Prec@5 78.500 (83.687)
Epoch: [72][5030/9018]	Time 0.621 (0.623)	Data 0.017 (0.003)	Loss 1.8175 (1.6883)	Prec@1 51.500 (54.835)	Prec@5 82.500 (83.684)
Epoch: [72][5040/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6504 (1.6882)	Prec@1 56.000 (54.836)	Prec@5 84.500 (83.683)
Epoch: [72][5050/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6360 (1.6882)	Prec@1 56.000 (54.836)	Prec@5 84.000 (83.683)
Epoch: [72][5060/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7497 (1.6883)	Prec@1 54.000 (54.835)	Prec@5 82.500 (83.681)
Epoch: [72][5070/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6320 (1.6884)	Prec@1 58.500 (54.835)	Prec@5 82.000 (83.679)
Epoch: [72][5080/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7419 (1.6884)	Prec@1 52.500 (54.834)	Prec@5 82.000 (83.677)
Epoch: [72][5090/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6604 (1.6884)	Prec@1 56.000 (54.833)	Prec@5 86.500 (83.679)
Epoch: [72][5100/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8125 (1.6884)	Prec@1 52.000 (54.833)	Prec@5 80.500 (83.680)
Epoch: [72][5110/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7813 (1.6884)	Prec@1 51.500 (54.834)	Prec@5 82.000 (83.679)
Epoch: [72][5120/9018]	Time 0.629 (0.623)	Data 0.012 (0.003)	Loss 1.7635 (1.6884)	Prec@1 53.000 (54.832)	Prec@5 82.500 (83.678)
Epoch: [72][5130/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7904 (1.6883)	Prec@1 52.500 (54.833)	Prec@5 84.500 (83.681)
Epoch: [72][5140/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7296 (1.6884)	Prec@1 54.500 (54.833)	Prec@5 81.000 (83.679)
Epoch: [72][5150/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7932 (1.6884)	Prec@1 54.000 (54.832)	Prec@5 81.500 (83.679)
Epoch: [72][5160/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7262 (1.6885)	Prec@1 51.500 (54.829)	Prec@5 84.500 (83.677)
Epoch: [72][5170/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.6358 (1.6884)	Prec@1 59.500 (54.835)	Prec@5 83.500 (83.680)
Epoch: [72][5180/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8199 (1.6884)	Prec@1 49.500 (54.833)	Prec@5 83.500 (83.680)
Epoch: [72][5190/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8886 (1.6883)	Prec@1 51.500 (54.837)	Prec@5 83.000 (83.682)
Epoch: [72][5200/9018]	Time 0.748 (0.623)	Data 0.001 (0.003)	Loss 1.8064 (1.6883)	Prec@1 55.000 (54.836)	Prec@5 82.000 (83.682)
Epoch: [72][5210/9018]	Time 0.615 (0.623)	Data 0.006 (0.003)	Loss 1.8627 (1.6884)	Prec@1 52.000 (54.836)	Prec@5 82.500 (83.680)
Epoch: [72][5220/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6220 (1.6884)	Prec@1 56.500 (54.838)	Prec@5 87.500 (83.680)
Epoch: [72][5230/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.5006 (1.6884)	Prec@1 57.000 (54.837)	Prec@5 86.500 (83.680)
Epoch: [72][5240/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6053 (1.6883)	Prec@1 54.000 (54.839)	Prec@5 90.000 (83.682)
Epoch: [72][5250/9018]	Time 0.777 (0.623)	Data 0.017 (0.003)	Loss 1.6188 (1.6882)	Prec@1 53.000 (54.840)	Prec@5 81.000 (83.682)
Epoch: [72][5260/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7348 (1.6882)	Prec@1 56.000 (54.843)	Prec@5 79.500 (83.681)
Epoch: [72][5270/9018]	Time 0.600 (0.623)	Data 0.014 (0.003)	Loss 1.6984 (1.6883)	Prec@1 50.500 (54.838)	Prec@5 83.500 (83.679)
Epoch: [72][5280/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.9130 (1.6884)	Prec@1 50.000 (54.837)	Prec@5 79.000 (83.678)
Epoch: [72][5290/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.9371 (1.6885)	Prec@1 52.000 (54.834)	Prec@5 79.500 (83.677)
Epoch: [72][5300/9018]	Time 0.645 (0.623)	Data 0.009 (0.003)	Loss 1.6092 (1.6885)	Prec@1 55.000 (54.834)	Prec@5 84.500 (83.674)
Epoch: [72][5310/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.8234 (1.6886)	Prec@1 53.000 (54.830)	Prec@5 82.000 (83.674)
Epoch: [72][5320/9018]	Time 0.605 (0.623)	Data 0.016 (0.003)	Loss 1.6137 (1.6887)	Prec@1 56.500 (54.829)	Prec@5 85.000 (83.673)
Epoch: [72][5330/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7370 (1.6888)	Prec@1 48.500 (54.829)	Prec@5 86.000 (83.674)
Epoch: [72][5340/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6844 (1.6888)	Prec@1 53.500 (54.827)	Prec@5 86.500 (83.674)
Epoch: [72][5350/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8663 (1.6888)	Prec@1 50.000 (54.824)	Prec@5 79.500 (83.673)
Epoch: [72][5360/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7999 (1.6889)	Prec@1 56.500 (54.823)	Prec@5 82.000 (83.671)
Epoch: [72][5370/9018]	Time 0.622 (0.623)	Data 0.015 (0.003)	Loss 1.9287 (1.6889)	Prec@1 46.500 (54.821)	Prec@5 81.000 (83.671)
Epoch: [72][5380/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.5519 (1.6889)	Prec@1 60.500 (54.822)	Prec@5 85.500 (83.668)
Epoch: [72][5390/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7159 (1.6890)	Prec@1 58.500 (54.824)	Prec@5 83.500 (83.668)
Epoch: [72][5400/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6807 (1.6890)	Prec@1 53.000 (54.824)	Prec@5 81.500 (83.665)
Epoch: [72][5410/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6381 (1.6891)	Prec@1 55.500 (54.821)	Prec@5 83.500 (83.664)
Epoch: [72][5420/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.6035 (1.6891)	Prec@1 57.500 (54.823)	Prec@5 84.500 (83.664)
Epoch: [72][5430/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7317 (1.6891)	Prec@1 55.000 (54.825)	Prec@5 84.000 (83.663)
Epoch: [72][5440/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6116 (1.6891)	Prec@1 58.000 (54.826)	Prec@5 87.000 (83.662)
Epoch: [72][5450/9018]	Time 0.650 (0.623)	Data 0.003 (0.003)	Loss 1.7521 (1.6892)	Prec@1 53.000 (54.827)	Prec@5 81.000 (83.660)
Epoch: [72][5460/9018]	Time 0.618 (0.623)	Data 0.014 (0.003)	Loss 1.7526 (1.6892)	Prec@1 51.000 (54.824)	Prec@5 83.500 (83.661)
Epoch: [72][5470/9018]	Time 0.624 (0.623)	Data 0.016 (0.003)	Loss 1.7354 (1.6891)	Prec@1 54.500 (54.825)	Prec@5 85.000 (83.662)
Epoch: [72][5480/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.4695 (1.6892)	Prec@1 57.000 (54.823)	Prec@5 87.000 (83.662)
Epoch: [72][5490/9018]	Time 0.630 (0.623)	Data 0.007 (0.003)	Loss 1.7517 (1.6892)	Prec@1 50.500 (54.821)	Prec@5 86.000 (83.660)
Epoch: [72][5500/9018]	Time 0.608 (0.623)	Data 0.011 (0.003)	Loss 1.7990 (1.6892)	Prec@1 57.000 (54.825)	Prec@5 82.500 (83.661)
Epoch: [72][5510/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7227 (1.6892)	Prec@1 58.000 (54.825)	Prec@5 80.500 (83.661)
Epoch: [72][5520/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7023 (1.6891)	Prec@1 56.000 (54.825)	Prec@5 84.000 (83.663)
Epoch: [72][5530/9018]	Time 0.732 (0.623)	Data 0.004 (0.003)	Loss 1.8533 (1.6891)	Prec@1 54.500 (54.825)	Prec@5 82.000 (83.663)
Epoch: [72][5540/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7252 (1.6891)	Prec@1 52.000 (54.824)	Prec@5 86.000 (83.664)
Epoch: [72][5550/9018]	Time 0.613 (0.623)	Data 0.015 (0.003)	Loss 1.5887 (1.6893)	Prec@1 57.000 (54.821)	Prec@5 83.000 (83.662)
Epoch: [72][5560/9018]	Time 0.609 (0.623)	Data 0.009 (0.003)	Loss 1.6997 (1.6891)	Prec@1 55.500 (54.822)	Prec@5 81.500 (83.664)
Epoch: [72][5570/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.6993 (1.6891)	Prec@1 49.000 (54.821)	Prec@5 83.000 (83.665)
Epoch: [72][5580/9018]	Time 0.738 (0.623)	Data 0.001 (0.003)	Loss 1.7008 (1.6891)	Prec@1 52.000 (54.821)	Prec@5 85.000 (83.663)
Epoch: [72][5590/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6846 (1.6891)	Prec@1 52.000 (54.818)	Prec@5 85.000 (83.665)
Epoch: [72][5600/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.5950 (1.6890)	Prec@1 58.500 (54.817)	Prec@5 85.500 (83.667)
Epoch: [72][5610/9018]	Time 0.612 (0.623)	Data 0.014 (0.003)	Loss 1.5922 (1.6890)	Prec@1 55.500 (54.815)	Prec@5 85.000 (83.668)
Epoch: [72][5620/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.5059 (1.6890)	Prec@1 60.000 (54.814)	Prec@5 87.000 (83.668)
Epoch: [72][5630/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6127 (1.6891)	Prec@1 59.000 (54.812)	Prec@5 83.000 (83.666)
Epoch: [72][5640/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6572 (1.6891)	Prec@1 59.000 (54.812)	Prec@5 82.500 (83.666)
Epoch: [72][5650/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.6038 (1.6892)	Prec@1 59.000 (54.812)	Prec@5 84.000 (83.664)
Epoch: [72][5660/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8979 (1.6891)	Prec@1 48.000 (54.811)	Prec@5 81.000 (83.665)
Epoch: [72][5670/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6770 (1.6891)	Prec@1 54.500 (54.811)	Prec@5 83.000 (83.665)
Epoch: [72][5680/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7103 (1.6892)	Prec@1 53.500 (54.810)	Prec@5 79.500 (83.664)
Epoch: [72][5690/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7435 (1.6892)	Prec@1 52.500 (54.808)	Prec@5 81.500 (83.663)
Epoch: [72][5700/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.5447 (1.6892)	Prec@1 59.000 (54.806)	Prec@5 87.000 (83.665)
Epoch: [72][5710/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7305 (1.6892)	Prec@1 55.500 (54.808)	Prec@5 82.000 (83.664)
Epoch: [72][5720/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.5495 (1.6892)	Prec@1 57.500 (54.811)	Prec@5 85.000 (83.666)
Epoch: [72][5730/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6196 (1.6891)	Prec@1 55.500 (54.811)	Prec@5 85.000 (83.666)
Epoch: [72][5740/9018]	Time 0.647 (0.623)	Data 0.001 (0.003)	Loss 1.7099 (1.6891)	Prec@1 54.500 (54.813)	Prec@5 84.000 (83.667)
Epoch: [72][5750/9018]	Time 0.622 (0.623)	Data 0.002 (0.003)	Loss 1.8934 (1.6890)	Prec@1 49.000 (54.814)	Prec@5 78.000 (83.666)
Epoch: [72][5760/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7068 (1.6890)	Prec@1 61.500 (54.814)	Prec@5 83.000 (83.665)
Epoch: [72][5770/9018]	Time 0.626 (0.623)	Data 0.029 (0.003)	Loss 1.5732 (1.6890)	Prec@1 57.500 (54.818)	Prec@5 85.000 (83.667)
Epoch: [72][5780/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6722 (1.6891)	Prec@1 60.500 (54.817)	Prec@5 83.000 (83.665)
Epoch: [72][5790/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.5040 (1.6890)	Prec@1 59.500 (54.816)	Prec@5 84.500 (83.666)
Epoch: [72][5800/9018]	Time 0.644 (0.623)	Data 0.001 (0.003)	Loss 1.8719 (1.6890)	Prec@1 53.500 (54.816)	Prec@5 79.000 (83.663)
Epoch: [72][5810/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.6943 (1.6889)	Prec@1 51.500 (54.816)	Prec@5 84.000 (83.667)
Epoch: [72][5820/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.6573 (1.6890)	Prec@1 53.000 (54.814)	Prec@5 84.500 (83.666)
Epoch: [72][5830/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.7257 (1.6890)	Prec@1 54.500 (54.812)	Prec@5 84.500 (83.665)
Epoch: [72][5840/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6511 (1.6890)	Prec@1 53.500 (54.811)	Prec@5 83.000 (83.666)
Epoch: [72][5850/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.4613 (1.6889)	Prec@1 58.000 (54.811)	Prec@5 88.500 (83.668)
Epoch: [72][5860/9018]	Time 0.758 (0.623)	Data 0.001 (0.003)	Loss 1.8501 (1.6889)	Prec@1 52.000 (54.811)	Prec@5 81.500 (83.668)
Epoch: [72][5870/9018]	Time 0.617 (0.623)	Data 0.009 (0.003)	Loss 1.6182 (1.6889)	Prec@1 60.500 (54.812)	Prec@5 86.000 (83.670)
Epoch: [72][5880/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.5208 (1.6889)	Prec@1 61.500 (54.809)	Prec@5 85.500 (83.669)
Epoch: [72][5890/9018]	Time 0.603 (0.623)	Data 0.014 (0.003)	Loss 1.7557 (1.6890)	Prec@1 55.000 (54.809)	Prec@5 82.000 (83.669)
Epoch: [72][5900/9018]	Time 0.648 (0.623)	Data 0.001 (0.003)	Loss 1.7405 (1.6890)	Prec@1 53.000 (54.808)	Prec@5 81.000 (83.669)
Epoch: [72][5910/9018]	Time 0.825 (0.623)	Data 0.001 (0.003)	Loss 1.7177 (1.6889)	Prec@1 53.500 (54.808)	Prec@5 82.000 (83.670)
Epoch: [72][5920/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.4948 (1.6890)	Prec@1 59.500 (54.808)	Prec@5 86.000 (83.668)
Epoch: [72][5930/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.5562 (1.6890)	Prec@1 57.500 (54.808)	Prec@5 86.000 (83.667)
Epoch: [72][5940/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.6528 (1.6889)	Prec@1 53.500 (54.807)	Prec@5 84.000 (83.667)
Epoch: [72][5950/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.5956 (1.6889)	Prec@1 59.000 (54.807)	Prec@5 86.000 (83.669)
Epoch: [72][5960/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7723 (1.6889)	Prec@1 55.000 (54.805)	Prec@5 80.500 (83.669)
Epoch: [72][5970/9018]	Time 0.614 (0.623)	Data 0.013 (0.003)	Loss 1.7218 (1.6889)	Prec@1 54.500 (54.805)	Prec@5 84.500 (83.670)
Epoch: [72][5980/9018]	Time 0.626 (0.623)	Data 0.011 (0.003)	Loss 1.5111 (1.6889)	Prec@1 54.500 (54.804)	Prec@5 88.500 (83.670)
Epoch: [72][5990/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.6864 (1.6889)	Prec@1 57.000 (54.807)	Prec@5 85.000 (83.670)
Epoch: [72][6000/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7514 (1.6888)	Prec@1 53.000 (54.808)	Prec@5 82.000 (83.672)
Epoch: [72][6010/9018]	Time 0.618 (0.623)	Data 0.014 (0.003)	Loss 1.8042 (1.6889)	Prec@1 53.000 (54.806)	Prec@5 80.500 (83.669)
Epoch: [72][6020/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8932 (1.6890)	Prec@1 49.000 (54.805)	Prec@5 77.000 (83.667)
Epoch: [72][6030/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.5770 (1.6890)	Prec@1 59.500 (54.803)	Prec@5 86.500 (83.664)
Epoch: [72][6040/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6397 (1.6891)	Prec@1 58.500 (54.805)	Prec@5 83.000 (83.664)
Epoch: [72][6050/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8220 (1.6892)	Prec@1 48.500 (54.802)	Prec@5 81.000 (83.662)
Epoch: [72][6060/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.4865 (1.6892)	Prec@1 61.500 (54.800)	Prec@5 86.000 (83.662)
Epoch: [72][6070/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.9301 (1.6893)	Prec@1 48.000 (54.800)	Prec@5 80.000 (83.661)
Epoch: [72][6080/9018]	Time 0.617 (0.623)	Data 0.014 (0.003)	Loss 1.6804 (1.6892)	Prec@1 52.500 (54.799)	Prec@5 83.000 (83.664)
Epoch: [72][6090/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.5721 (1.6891)	Prec@1 57.000 (54.800)	Prec@5 85.000 (83.665)
Epoch: [72][6100/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.6538 (1.6891)	Prec@1 55.500 (54.801)	Prec@5 84.500 (83.667)
Epoch: [72][6110/9018]	Time 0.626 (0.623)	Data 0.016 (0.003)	Loss 1.7434 (1.6891)	Prec@1 55.500 (54.803)	Prec@5 82.500 (83.667)
Epoch: [72][6120/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7268 (1.6890)	Prec@1 49.500 (54.804)	Prec@5 84.000 (83.669)
Epoch: [72][6130/9018]	Time 0.650 (0.623)	Data 0.001 (0.003)	Loss 1.7222 (1.6891)	Prec@1 55.000 (54.804)	Prec@5 82.500 (83.668)
Epoch: [72][6140/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7610 (1.6890)	Prec@1 54.500 (54.803)	Prec@5 82.000 (83.668)
Epoch: [72][6150/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7486 (1.6891)	Prec@1 51.000 (54.801)	Prec@5 83.000 (83.667)
Epoch: [72][6160/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.7704 (1.6892)	Prec@1 54.500 (54.799)	Prec@5 82.500 (83.666)
Epoch: [72][6170/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6037 (1.6891)	Prec@1 57.500 (54.803)	Prec@5 89.500 (83.667)
Epoch: [72][6180/9018]	Time 0.626 (0.623)	Data 0.014 (0.003)	Loss 1.4691 (1.6891)	Prec@1 54.000 (54.802)	Prec@5 88.500 (83.667)
Epoch: [72][6190/9018]	Time 0.758 (0.623)	Data 0.001 (0.003)	Loss 1.6448 (1.6891)	Prec@1 55.500 (54.802)	Prec@5 84.000 (83.668)
Epoch: [72][6200/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8648 (1.6892)	Prec@1 52.000 (54.801)	Prec@5 80.500 (83.667)
Epoch: [72][6210/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6954 (1.6892)	Prec@1 55.500 (54.802)	Prec@5 85.500 (83.667)
Epoch: [72][6220/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7729 (1.6892)	Prec@1 55.500 (54.801)	Prec@5 81.000 (83.665)
Epoch: [72][6230/9018]	Time 0.659 (0.623)	Data 0.001 (0.003)	Loss 1.4857 (1.6891)	Prec@1 62.000 (54.804)	Prec@5 86.000 (83.668)
Epoch: [72][6240/9018]	Time 0.743 (0.623)	Data 0.001 (0.003)	Loss 1.8298 (1.6892)	Prec@1 51.000 (54.802)	Prec@5 78.500 (83.667)
Epoch: [72][6250/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7119 (1.6893)	Prec@1 51.500 (54.799)	Prec@5 86.500 (83.666)
Epoch: [72][6260/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7366 (1.6893)	Prec@1 54.500 (54.798)	Prec@5 81.500 (83.667)
Epoch: [72][6270/9018]	Time 0.607 (0.623)	Data 0.006 (0.003)	Loss 1.7767 (1.6893)	Prec@1 51.000 (54.798)	Prec@5 82.000 (83.666)
Epoch: [72][6280/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7494 (1.6894)	Prec@1 53.000 (54.797)	Prec@5 81.500 (83.664)
Epoch: [72][6290/9018]	Time 0.619 (0.623)	Data 0.012 (0.003)	Loss 1.6309 (1.6895)	Prec@1 52.500 (54.792)	Prec@5 86.500 (83.661)
Epoch: [72][6300/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6759 (1.6896)	Prec@1 50.000 (54.792)	Prec@5 83.500 (83.660)
Epoch: [72][6310/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7591 (1.6896)	Prec@1 55.000 (54.794)	Prec@5 84.000 (83.660)
Epoch: [72][6320/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7071 (1.6896)	Prec@1 52.500 (54.796)	Prec@5 84.000 (83.660)
Epoch: [72][6330/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6795 (1.6896)	Prec@1 57.500 (54.796)	Prec@5 82.000 (83.659)
Epoch: [72][6340/9018]	Time 0.630 (0.623)	Data 0.013 (0.003)	Loss 1.8142 (1.6896)	Prec@1 51.500 (54.795)	Prec@5 83.500 (83.659)
Epoch: [72][6350/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.5460 (1.6896)	Prec@1 58.000 (54.797)	Prec@5 85.500 (83.659)
Epoch: [72][6360/9018]	Time 0.629 (0.623)	Data 0.015 (0.003)	Loss 1.6100 (1.6896)	Prec@1 57.500 (54.797)	Prec@5 84.500 (83.659)
Epoch: [72][6370/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.4305 (1.6896)	Prec@1 60.500 (54.798)	Prec@5 88.000 (83.660)
Epoch: [72][6380/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7062 (1.6895)	Prec@1 52.000 (54.798)	Prec@5 84.500 (83.662)
Epoch: [72][6390/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6580 (1.6895)	Prec@1 56.500 (54.800)	Prec@5 86.500 (83.662)
Epoch: [72][6400/9018]	Time 0.612 (0.623)	Data 0.009 (0.003)	Loss 1.7555 (1.6895)	Prec@1 53.000 (54.800)	Prec@5 87.000 (83.662)
Epoch: [72][6410/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.8716 (1.6895)	Prec@1 47.500 (54.798)	Prec@5 81.000 (83.662)
Epoch: [72][6420/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7188 (1.6896)	Prec@1 55.000 (54.797)	Prec@5 83.000 (83.660)
Epoch: [72][6430/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.8542 (1.6897)	Prec@1 51.000 (54.796)	Prec@5 80.000 (83.659)
Epoch: [72][6440/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.7203 (1.6896)	Prec@1 50.500 (54.796)	Prec@5 82.500 (83.660)
Epoch: [72][6450/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.7095 (1.6896)	Prec@1 52.500 (54.795)	Prec@5 85.500 (83.661)
Epoch: [72][6460/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7874 (1.6897)	Prec@1 52.000 (54.794)	Prec@5 82.500 (83.660)
Epoch: [72][6470/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.8560 (1.6898)	Prec@1 56.000 (54.792)	Prec@5 82.000 (83.659)
Epoch: [72][6480/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6993 (1.6899)	Prec@1 49.000 (54.788)	Prec@5 84.500 (83.658)
Epoch: [72][6490/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6333 (1.6898)	Prec@1 58.000 (54.791)	Prec@5 84.000 (83.659)
Epoch: [72][6500/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.9424 (1.6898)	Prec@1 48.500 (54.792)	Prec@5 77.000 (83.660)
Epoch: [72][6510/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.7570 (1.6898)	Prec@1 49.500 (54.791)	Prec@5 83.000 (83.660)
Epoch: [72][6520/9018]	Time 0.731 (0.623)	Data 0.013 (0.003)	Loss 1.7041 (1.6898)	Prec@1 54.500 (54.792)	Prec@5 84.000 (83.661)
Epoch: [72][6530/9018]	Time 0.626 (0.623)	Data 0.029 (0.003)	Loss 1.6198 (1.6897)	Prec@1 58.500 (54.793)	Prec@5 85.000 (83.663)
Epoch: [72][6540/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.5323 (1.6896)	Prec@1 59.000 (54.794)	Prec@5 85.500 (83.663)
Epoch: [72][6550/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.5990 (1.6897)	Prec@1 54.500 (54.793)	Prec@5 81.500 (83.662)
Epoch: [72][6560/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.4925 (1.6897)	Prec@1 61.500 (54.794)	Prec@5 85.000 (83.663)
Epoch: [72][6570/9018]	Time 0.751 (0.623)	Data 0.001 (0.003)	Loss 1.6861 (1.6897)	Prec@1 56.500 (54.794)	Prec@5 83.000 (83.663)
Epoch: [72][6580/9018]	Time 0.626 (0.623)	Data 0.016 (0.003)	Loss 1.6813 (1.6897)	Prec@1 59.000 (54.794)	Prec@5 85.000 (83.662)
Epoch: [72][6590/9018]	Time 0.625 (0.623)	Data 0.005 (0.003)	Loss 1.7325 (1.6896)	Prec@1 53.500 (54.796)	Prec@5 81.500 (83.664)
Epoch: [72][6600/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7584 (1.6896)	Prec@1 54.500 (54.798)	Prec@5 81.000 (83.663)
Epoch: [72][6610/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6465 (1.6896)	Prec@1 57.000 (54.797)	Prec@5 84.000 (83.662)
Epoch: [72][6620/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6056 (1.6895)	Prec@1 55.500 (54.800)	Prec@5 85.000 (83.664)
Epoch: [72][6630/9018]	Time 0.663 (0.623)	Data 0.001 (0.003)	Loss 1.9366 (1.6896)	Prec@1 52.500 (54.799)	Prec@5 78.000 (83.663)
Epoch: [72][6640/9018]	Time 0.597 (0.623)	Data 0.007 (0.003)	Loss 1.6423 (1.6895)	Prec@1 59.000 (54.802)	Prec@5 82.500 (83.664)
Epoch: [72][6650/9018]	Time 0.626 (0.623)	Data 0.017 (0.003)	Loss 1.6874 (1.6896)	Prec@1 55.000 (54.801)	Prec@5 85.500 (83.664)
Epoch: [72][6660/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6478 (1.6896)	Prec@1 54.500 (54.800)	Prec@5 84.000 (83.663)
Epoch: [72][6670/9018]	Time 0.589 (0.623)	Data 0.001 (0.003)	Loss 1.7299 (1.6897)	Prec@1 52.000 (54.799)	Prec@5 82.000 (83.661)
Epoch: [72][6680/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6722 (1.6898)	Prec@1 52.500 (54.794)	Prec@5 88.500 (83.660)
Epoch: [72][6690/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.9683 (1.6899)	Prec@1 42.500 (54.791)	Prec@5 80.000 (83.658)
Epoch: [72][6700/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7295 (1.6899)	Prec@1 54.000 (54.790)	Prec@5 80.000 (83.658)
Epoch: [72][6710/9018]	Time 0.620 (0.623)	Data 0.027 (0.003)	Loss 1.8403 (1.6900)	Prec@1 53.000 (54.790)	Prec@5 80.000 (83.657)
Epoch: [72][6720/9018]	Time 0.640 (0.623)	Data 0.003 (0.003)	Loss 1.6221 (1.6901)	Prec@1 57.500 (54.788)	Prec@5 86.000 (83.655)
Epoch: [72][6730/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6129 (1.6900)	Prec@1 59.500 (54.788)	Prec@5 85.000 (83.655)
Epoch: [72][6740/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.7452 (1.6901)	Prec@1 54.500 (54.786)	Prec@5 81.000 (83.653)
Epoch: [72][6750/9018]	Time 0.620 (0.623)	Data 0.002 (0.003)	Loss 1.5736 (1.6901)	Prec@1 57.500 (54.784)	Prec@5 85.000 (83.653)
Epoch: [72][6760/9018]	Time 0.634 (0.623)	Data 0.014 (0.003)	Loss 1.8143 (1.6901)	Prec@1 54.500 (54.785)	Prec@5 83.500 (83.655)
Epoch: [72][6770/9018]	Time 0.658 (0.623)	Data 0.001 (0.003)	Loss 1.6911 (1.6902)	Prec@1 55.000 (54.785)	Prec@5 86.500 (83.655)
Epoch: [72][6780/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.5723 (1.6901)	Prec@1 53.500 (54.786)	Prec@5 85.000 (83.655)
Epoch: [72][6790/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5903 (1.6901)	Prec@1 57.000 (54.788)	Prec@5 84.500 (83.656)
Epoch: [72][6800/9018]	Time 0.601 (0.623)	Data 0.016 (0.003)	Loss 1.7051 (1.6901)	Prec@1 56.000 (54.787)	Prec@5 81.000 (83.656)
Epoch: [72][6810/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.6634 (1.6901)	Prec@1 56.500 (54.786)	Prec@5 84.000 (83.655)
Epoch: [72][6820/9018]	Time 0.623 (0.623)	Data 0.002 (0.003)	Loss 1.6955 (1.6900)	Prec@1 56.000 (54.788)	Prec@5 81.000 (83.656)
Epoch: [72][6830/9018]	Time 0.602 (0.623)	Data 0.017 (0.003)	Loss 1.8902 (1.6901)	Prec@1 52.500 (54.788)	Prec@5 76.500 (83.655)
Epoch: [72][6840/9018]	Time 0.620 (0.623)	Data 0.020 (0.003)	Loss 1.4228 (1.6900)	Prec@1 58.500 (54.790)	Prec@5 89.000 (83.655)
Epoch: [72][6850/9018]	Time 0.763 (0.623)	Data 0.001 (0.003)	Loss 1.6896 (1.6901)	Prec@1 53.500 (54.786)	Prec@5 85.500 (83.653)
Epoch: [72][6860/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7312 (1.6901)	Prec@1 54.500 (54.787)	Prec@5 84.500 (83.653)
Epoch: [72][6870/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7811 (1.6901)	Prec@1 53.000 (54.787)	Prec@5 84.000 (83.653)
Epoch: [72][6880/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6727 (1.6902)	Prec@1 57.000 (54.787)	Prec@5 83.500 (83.652)
Epoch: [72][6890/9018]	Time 0.612 (0.623)	Data 0.002 (0.003)	Loss 1.5862 (1.6902)	Prec@1 59.500 (54.788)	Prec@5 84.000 (83.650)
Epoch: [72][6900/9018]	Time 0.782 (0.623)	Data 0.001 (0.003)	Loss 1.7011 (1.6902)	Prec@1 61.500 (54.788)	Prec@5 83.500 (83.650)
Epoch: [72][6910/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6718 (1.6902)	Prec@1 55.000 (54.788)	Prec@5 85.000 (83.650)
Epoch: [72][6920/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6917 (1.6902)	Prec@1 56.000 (54.788)	Prec@5 85.000 (83.651)
Epoch: [72][6930/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8349 (1.6902)	Prec@1 48.500 (54.787)	Prec@5 85.500 (83.651)
Epoch: [72][6940/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.5298 (1.6903)	Prec@1 57.500 (54.787)	Prec@5 84.000 (83.652)
Epoch: [72][6950/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7688 (1.6903)	Prec@1 57.000 (54.784)	Prec@5 80.500 (83.652)
Epoch: [72][6960/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.5838 (1.6903)	Prec@1 53.500 (54.784)	Prec@5 87.000 (83.651)
Epoch: [72][6970/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.5071 (1.6902)	Prec@1 53.500 (54.787)	Prec@5 90.000 (83.653)
Epoch: [72][6980/9018]	Time 0.638 (0.623)	Data 0.016 (0.003)	Loss 1.7296 (1.6903)	Prec@1 51.500 (54.784)	Prec@5 82.500 (83.651)
Epoch: [72][6990/9018]	Time 0.614 (0.623)	Data 0.007 (0.003)	Loss 1.6682 (1.6902)	Prec@1 52.500 (54.786)	Prec@5 85.500 (83.654)
Epoch: [72][7000/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.5695 (1.6903)	Prec@1 58.000 (54.786)	Prec@5 87.500 (83.652)
Epoch: [72][7010/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.6195 (1.6902)	Prec@1 59.500 (54.787)	Prec@5 83.000 (83.652)
Epoch: [72][7020/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8029 (1.6903)	Prec@1 51.500 (54.787)	Prec@5 82.500 (83.652)
Epoch: [72][7030/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.8030 (1.6903)	Prec@1 52.000 (54.785)	Prec@5 85.500 (83.653)
Epoch: [72][7040/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.5783 (1.6903)	Prec@1 55.500 (54.786)	Prec@5 86.000 (83.653)
Epoch: [72][7050/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.7306 (1.6903)	Prec@1 50.000 (54.786)	Prec@5 83.500 (83.653)
Epoch: [72][7060/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.7704 (1.6904)	Prec@1 53.500 (54.785)	Prec@5 81.500 (83.651)
Epoch: [72][7070/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6116 (1.6905)	Prec@1 60.000 (54.785)	Prec@5 84.500 (83.649)
Epoch: [72][7080/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7530 (1.6905)	Prec@1 57.000 (54.786)	Prec@5 81.500 (83.647)
Epoch: [72][7090/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8531 (1.6906)	Prec@1 51.000 (54.784)	Prec@5 82.500 (83.648)
Epoch: [72][7100/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.5582 (1.6905)	Prec@1 60.000 (54.786)	Prec@5 85.500 (83.649)
Epoch: [72][7110/9018]	Time 0.614 (0.623)	Data 0.013 (0.003)	Loss 1.7472 (1.6905)	Prec@1 55.000 (54.787)	Prec@5 81.000 (83.649)
Epoch: [72][7120/9018]	Time 0.605 (0.624)	Data 0.012 (0.003)	Loss 1.6034 (1.6905)	Prec@1 55.000 (54.785)	Prec@5 86.500 (83.649)
Epoch: [72][7130/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.8105 (1.6905)	Prec@1 54.500 (54.786)	Prec@5 80.500 (83.649)
Epoch: [72][7140/9018]	Time 0.627 (0.624)	Data 0.013 (0.003)	Loss 1.6926 (1.6905)	Prec@1 57.000 (54.787)	Prec@5 83.000 (83.650)
Epoch: [72][7150/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.6418 (1.6905)	Prec@1 58.000 (54.786)	Prec@5 84.500 (83.651)
Epoch: [72][7160/9018]	Time 0.624 (0.624)	Data 0.005 (0.003)	Loss 1.8085 (1.6905)	Prec@1 50.000 (54.786)	Prec@5 80.000 (83.651)
Epoch: [72][7170/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.8916 (1.6906)	Prec@1 50.000 (54.785)	Prec@5 79.500 (83.649)
Epoch: [72][7180/9018]	Time 0.790 (0.624)	Data 0.001 (0.003)	Loss 1.5937 (1.6906)	Prec@1 51.500 (54.784)	Prec@5 85.500 (83.649)
Epoch: [72][7190/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.8767 (1.6905)	Prec@1 51.000 (54.785)	Prec@5 81.000 (83.651)
Epoch: [72][7200/9018]	Time 0.645 (0.624)	Data 0.001 (0.003)	Loss 1.8193 (1.6905)	Prec@1 53.500 (54.786)	Prec@5 82.500 (83.651)
Epoch: [72][7210/9018]	Time 0.615 (0.624)	Data 0.005 (0.003)	Loss 1.5916 (1.6906)	Prec@1 52.000 (54.785)	Prec@5 85.500 (83.651)
Epoch: [72][7220/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.6349 (1.6907)	Prec@1 54.000 (54.782)	Prec@5 85.500 (83.650)
Epoch: [72][7230/9018]	Time 0.785 (0.624)	Data 0.001 (0.003)	Loss 1.6205 (1.6907)	Prec@1 56.000 (54.782)	Prec@5 88.000 (83.652)
Epoch: [72][7240/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 1.7874 (1.6907)	Prec@1 53.500 (54.783)	Prec@5 80.000 (83.652)
Epoch: [72][7250/9018]	Time 0.645 (0.624)	Data 0.001 (0.003)	Loss 1.7908 (1.6908)	Prec@1 52.500 (54.780)	Prec@5 80.500 (83.650)
Epoch: [72][7260/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.8262 (1.6909)	Prec@1 52.500 (54.778)	Prec@5 81.500 (83.650)
Epoch: [72][7270/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.7479 (1.6909)	Prec@1 55.500 (54.778)	Prec@5 82.500 (83.649)
Epoch: [72][7280/9018]	Time 0.647 (0.624)	Data 0.001 (0.003)	Loss 1.6181 (1.6909)	Prec@1 57.000 (54.778)	Prec@5 85.500 (83.650)
Epoch: [72][7290/9018]	Time 0.622 (0.624)	Data 0.013 (0.003)	Loss 1.8264 (1.6909)	Prec@1 50.000 (54.779)	Prec@5 82.500 (83.649)
Epoch: [72][7300/9018]	Time 0.630 (0.624)	Data 0.002 (0.003)	Loss 1.6477 (1.6910)	Prec@1 58.000 (54.776)	Prec@5 83.500 (83.648)
Epoch: [72][7310/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.5916 (1.6910)	Prec@1 62.000 (54.778)	Prec@5 83.500 (83.646)
Epoch: [72][7320/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.5016 (1.6910)	Prec@1 54.000 (54.777)	Prec@5 89.000 (83.646)
Epoch: [72][7330/9018]	Time 0.640 (0.624)	Data 0.013 (0.003)	Loss 1.8108 (1.6911)	Prec@1 52.500 (54.775)	Prec@5 81.500 (83.645)
Epoch: [72][7340/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.8635 (1.6912)	Prec@1 52.000 (54.770)	Prec@5 78.000 (83.643)
Epoch: [72][7350/9018]	Time 0.588 (0.624)	Data 0.001 (0.003)	Loss 1.5501 (1.6912)	Prec@1 60.000 (54.770)	Prec@5 87.000 (83.643)
Epoch: [72][7360/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.4896 (1.6912)	Prec@1 59.500 (54.771)	Prec@5 85.000 (83.643)
Epoch: [72][7370/9018]	Time 0.619 (0.624)	Data 0.002 (0.003)	Loss 1.7044 (1.6912)	Prec@1 54.000 (54.771)	Prec@5 84.000 (83.644)
Epoch: [72][7380/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.8988 (1.6913)	Prec@1 51.500 (54.770)	Prec@5 82.500 (83.644)
Epoch: [72][7390/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.8613 (1.6913)	Prec@1 51.000 (54.768)	Prec@5 82.500 (83.644)
Epoch: [72][7400/9018]	Time 0.634 (0.624)	Data 0.002 (0.003)	Loss 1.7579 (1.6913)	Prec@1 50.000 (54.768)	Prec@5 82.000 (83.643)
Epoch: [72][7410/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.6639 (1.6913)	Prec@1 52.500 (54.768)	Prec@5 86.500 (83.644)
Epoch: [72][7420/9018]	Time 0.605 (0.624)	Data 0.015 (0.003)	Loss 1.7174 (1.6913)	Prec@1 56.500 (54.768)	Prec@5 81.000 (83.644)
Epoch: [72][7430/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.7822 (1.6914)	Prec@1 54.500 (54.768)	Prec@5 80.000 (83.642)
Epoch: [72][7440/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.8125 (1.6914)	Prec@1 54.500 (54.769)	Prec@5 82.000 (83.641)
Epoch: [72][7450/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.6003 (1.6914)	Prec@1 55.000 (54.770)	Prec@5 84.500 (83.641)
Epoch: [72][7460/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.6395 (1.6913)	Prec@1 56.000 (54.770)	Prec@5 84.000 (83.642)
Epoch: [72][7470/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.7029 (1.6913)	Prec@1 55.000 (54.769)	Prec@5 85.500 (83.642)
Epoch: [72][7480/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.6081 (1.6914)	Prec@1 58.000 (54.770)	Prec@5 81.000 (83.640)
Epoch: [72][7490/9018]	Time 0.610 (0.624)	Data 0.002 (0.003)	Loss 1.5530 (1.6914)	Prec@1 57.500 (54.769)	Prec@5 87.000 (83.641)
Epoch: [72][7500/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.6062 (1.6914)	Prec@1 57.000 (54.769)	Prec@5 86.500 (83.641)
Epoch: [72][7510/9018]	Time 0.711 (0.624)	Data 0.001 (0.003)	Loss 1.9630 (1.6914)	Prec@1 53.000 (54.769)	Prec@5 79.000 (83.642)
Epoch: [72][7520/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.9438 (1.6915)	Prec@1 49.000 (54.767)	Prec@5 80.000 (83.641)
Epoch: [72][7530/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.4979 (1.6915)	Prec@1 60.500 (54.768)	Prec@5 86.000 (83.641)
Epoch: [72][7540/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.7897 (1.6914)	Prec@1 52.500 (54.768)	Prec@5 82.500 (83.641)
Epoch: [72][7550/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.5411 (1.6914)	Prec@1 58.000 (54.769)	Prec@5 87.500 (83.641)
Epoch: [72][7560/9018]	Time 0.719 (0.624)	Data 0.001 (0.003)	Loss 1.8263 (1.6914)	Prec@1 52.000 (54.769)	Prec@5 83.000 (83.642)
Epoch: [72][7570/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.6304 (1.6913)	Prec@1 59.500 (54.770)	Prec@5 84.500 (83.643)
Epoch: [72][7580/9018]	Time 0.617 (0.624)	Data 0.003 (0.003)	Loss 1.7358 (1.6914)	Prec@1 61.000 (54.771)	Prec@5 84.500 (83.643)
Epoch: [72][7590/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.5242 (1.6913)	Prec@1 56.000 (54.771)	Prec@5 87.500 (83.644)
Epoch: [72][7600/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 2.1182 (1.6914)	Prec@1 44.500 (54.767)	Prec@5 75.000 (83.643)
Epoch: [72][7610/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.6830 (1.6914)	Prec@1 57.000 (54.768)	Prec@5 84.500 (83.644)
Epoch: [72][7620/9018]	Time 0.619 (0.624)	Data 0.007 (0.003)	Loss 1.6898 (1.6914)	Prec@1 57.000 (54.770)	Prec@5 82.000 (83.644)
Epoch: [72][7630/9018]	Time 0.609 (0.624)	Data 0.012 (0.003)	Loss 1.5482 (1.6914)	Prec@1 54.500 (54.771)	Prec@5 85.500 (83.644)
Epoch: [72][7640/9018]	Time 0.641 (0.624)	Data 0.001 (0.003)	Loss 1.6043 (1.6913)	Prec@1 54.500 (54.771)	Prec@5 83.500 (83.645)
Epoch: [72][7650/9018]	Time 0.633 (0.624)	Data 0.014 (0.003)	Loss 1.6838 (1.6914)	Prec@1 55.500 (54.769)	Prec@5 81.000 (83.645)
Epoch: [72][7660/9018]	Time 0.626 (0.624)	Data 0.015 (0.003)	Loss 1.7936 (1.6914)	Prec@1 50.500 (54.770)	Prec@5 79.500 (83.645)
Epoch: [72][7670/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.6596 (1.6913)	Prec@1 55.500 (54.770)	Prec@5 85.000 (83.645)
Epoch: [72][7680/9018]	Time 0.634 (0.624)	Data 0.017 (0.003)	Loss 1.6710 (1.6913)	Prec@1 53.500 (54.771)	Prec@5 82.000 (83.646)
Epoch: [72][7690/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.6767 (1.6912)	Prec@1 55.000 (54.770)	Prec@5 83.500 (83.647)
Epoch: [72][7700/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.5499 (1.6912)	Prec@1 58.500 (54.771)	Prec@5 85.000 (83.649)
Epoch: [72][7710/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.7123 (1.6911)	Prec@1 53.500 (54.772)	Prec@5 85.000 (83.650)
Epoch: [72][7720/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.6250 (1.6910)	Prec@1 56.500 (54.773)	Prec@5 84.500 (83.651)
Epoch: [72][7730/9018]	Time 0.611 (0.624)	Data 0.005 (0.003)	Loss 1.5511 (1.6911)	Prec@1 57.500 (54.772)	Prec@5 87.000 (83.650)
Epoch: [72][7740/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.5982 (1.6911)	Prec@1 55.000 (54.772)	Prec@5 87.500 (83.651)
Epoch: [72][7750/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.7211 (1.6912)	Prec@1 55.000 (54.771)	Prec@5 81.500 (83.649)
Epoch: [72][7760/9018]	Time 0.602 (0.624)	Data 0.013 (0.003)	Loss 1.6738 (1.6911)	Prec@1 55.000 (54.771)	Prec@5 84.000 (83.650)
Epoch: [72][7770/9018]	Time 0.642 (0.624)	Data 0.015 (0.003)	Loss 1.8225 (1.6912)	Prec@1 51.500 (54.770)	Prec@5 81.500 (83.650)
Epoch: [72][7780/9018]	Time 0.615 (0.624)	Data 0.011 (0.003)	Loss 1.8333 (1.6913)	Prec@1 52.500 (54.769)	Prec@5 79.000 (83.648)
Epoch: [72][7790/9018]	Time 0.619 (0.624)	Data 0.015 (0.003)	Loss 1.5404 (1.6913)	Prec@1 63.000 (54.771)	Prec@5 85.000 (83.649)
Epoch: [72][7800/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.6975 (1.6912)	Prec@1 54.000 (54.771)	Prec@5 84.500 (83.649)
Epoch: [72][7810/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.5699 (1.6912)	Prec@1 56.000 (54.773)	Prec@5 88.500 (83.651)
Epoch: [72][7820/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.8430 (1.6912)	Prec@1 51.500 (54.772)	Prec@5 80.500 (83.650)
Epoch: [72][7830/9018]	Time 0.620 (0.624)	Data 0.002 (0.003)	Loss 1.6824 (1.6913)	Prec@1 50.500 (54.771)	Prec@5 85.000 (83.648)
Epoch: [72][7840/9018]	Time 0.733 (0.624)	Data 0.002 (0.003)	Loss 1.5060 (1.6912)	Prec@1 59.000 (54.774)	Prec@5 87.000 (83.650)
Epoch: [72][7850/9018]	Time 0.632 (0.624)	Data 0.007 (0.003)	Loss 1.7796 (1.6911)	Prec@1 52.000 (54.775)	Prec@5 85.000 (83.650)
Epoch: [72][7860/9018]	Time 0.620 (0.624)	Data 0.013 (0.003)	Loss 2.0484 (1.6912)	Prec@1 45.000 (54.774)	Prec@5 80.000 (83.650)
Epoch: [72][7870/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.7195 (1.6913)	Prec@1 54.500 (54.773)	Prec@5 87.500 (83.650)
Epoch: [72][7880/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.6194 (1.6912)	Prec@1 53.000 (54.776)	Prec@5 84.500 (83.651)
Epoch: [72][7890/9018]	Time 0.747 (0.624)	Data 0.002 (0.003)	Loss 1.6276 (1.6911)	Prec@1 59.000 (54.779)	Prec@5 83.000 (83.652)
Epoch: [72][7900/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 1.7454 (1.6910)	Prec@1 50.500 (54.780)	Prec@5 84.500 (83.653)
Epoch: [72][7910/9018]	Time 0.613 (0.624)	Data 0.016 (0.003)	Loss 1.6961 (1.6911)	Prec@1 55.000 (54.778)	Prec@5 84.500 (83.652)
Epoch: [72][7920/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.6707 (1.6911)	Prec@1 54.000 (54.778)	Prec@5 81.000 (83.653)
Epoch: [72][7930/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.8702 (1.6912)	Prec@1 51.500 (54.776)	Prec@5 79.500 (83.650)
Epoch: [72][7940/9018]	Time 0.650 (0.624)	Data 0.014 (0.003)	Loss 1.5834 (1.6912)	Prec@1 57.000 (54.775)	Prec@5 84.000 (83.650)
Epoch: [72][7950/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.8648 (1.6913)	Prec@1 48.000 (54.772)	Prec@5 81.000 (83.648)
Epoch: [72][7960/9018]	Time 0.645 (0.624)	Data 0.001 (0.003)	Loss 1.5934 (1.6912)	Prec@1 55.500 (54.772)	Prec@5 85.000 (83.647)
Epoch: [72][7970/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6339 (1.6913)	Prec@1 57.000 (54.771)	Prec@5 83.500 (83.644)
Epoch: [72][7980/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.8287 (1.6914)	Prec@1 53.000 (54.768)	Prec@5 83.000 (83.643)
Epoch: [72][7990/9018]	Time 0.638 (0.624)	Data 0.001 (0.003)	Loss 1.8215 (1.6914)	Prec@1 54.500 (54.768)	Prec@5 82.000 (83.643)
Epoch: [72][8000/9018]	Time 0.628 (0.624)	Data 0.002 (0.003)	Loss 1.8355 (1.6914)	Prec@1 51.000 (54.769)	Prec@5 82.000 (83.642)
Epoch: [72][8010/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.7965 (1.6914)	Prec@1 51.500 (54.768)	Prec@5 83.500 (83.641)
Epoch: [72][8020/9018]	Time 0.608 (0.624)	Data 0.002 (0.003)	Loss 1.7694 (1.6914)	Prec@1 55.000 (54.768)	Prec@5 81.500 (83.642)
Epoch: [72][8030/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.5973 (1.6914)	Prec@1 57.500 (54.768)	Prec@5 84.000 (83.641)
Epoch: [72][8040/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.7033 (1.6914)	Prec@1 58.000 (54.766)	Prec@5 83.500 (83.642)
Epoch: [72][8050/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.7423 (1.6914)	Prec@1 50.000 (54.767)	Prec@5 83.000 (83.643)
Epoch: [72][8060/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 1.7213 (1.6915)	Prec@1 52.500 (54.764)	Prec@5 87.000 (83.643)
Epoch: [72][8070/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.7889 (1.6915)	Prec@1 49.000 (54.762)	Prec@5 86.000 (83.643)
Epoch: [72][8080/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.5888 (1.6916)	Prec@1 57.000 (54.761)	Prec@5 83.500 (83.642)
Epoch: [72][8090/9018]	Time 0.602 (0.624)	Data 0.002 (0.003)	Loss 1.8827 (1.6917)	Prec@1 51.000 (54.759)	Prec@5 80.500 (83.640)
Epoch: [72][8100/9018]	Time 0.606 (0.624)	Data 0.014 (0.003)	Loss 1.7600 (1.6916)	Prec@1 57.000 (54.760)	Prec@5 86.000 (83.639)
Epoch: [72][8110/9018]	Time 0.597 (0.624)	Data 0.002 (0.003)	Loss 1.8194 (1.6917)	Prec@1 55.000 (54.759)	Prec@5 81.000 (83.637)
Epoch: [72][8120/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 1.6609 (1.6917)	Prec@1 58.000 (54.759)	Prec@5 83.500 (83.638)
Epoch: [72][8130/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.8435 (1.6917)	Prec@1 49.500 (54.758)	Prec@5 81.000 (83.638)
Epoch: [72][8140/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.8152 (1.6917)	Prec@1 52.000 (54.758)	Prec@5 80.500 (83.639)
Epoch: [72][8150/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.7691 (1.6917)	Prec@1 54.500 (54.757)	Prec@5 84.000 (83.638)
Epoch: [72][8160/9018]	Time 0.628 (0.624)	Data 0.006 (0.003)	Loss 1.8509 (1.6917)	Prec@1 52.000 (54.757)	Prec@5 83.500 (83.639)
Epoch: [72][8170/9018]	Time 0.726 (0.624)	Data 0.001 (0.003)	Loss 1.6512 (1.6918)	Prec@1 59.000 (54.757)	Prec@5 85.000 (83.638)
Epoch: [72][8180/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.8144 (1.6919)	Prec@1 51.000 (54.757)	Prec@5 82.500 (83.637)
Epoch: [72][8190/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.7001 (1.6919)	Prec@1 51.000 (54.757)	Prec@5 83.500 (83.637)
Epoch: [72][8200/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.8681 (1.6918)	Prec@1 51.500 (54.759)	Prec@5 84.000 (83.640)
Epoch: [72][8210/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.5124 (1.6919)	Prec@1 55.000 (54.757)	Prec@5 88.000 (83.639)
Epoch: [72][8220/9018]	Time 0.772 (0.624)	Data 0.001 (0.003)	Loss 1.6749 (1.6920)	Prec@1 54.000 (54.757)	Prec@5 82.500 (83.638)
Epoch: [72][8230/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.7442 (1.6920)	Prec@1 54.000 (54.758)	Prec@5 82.000 (83.637)
Epoch: [72][8240/9018]	Time 0.635 (0.624)	Data 0.004 (0.003)	Loss 1.4637 (1.6919)	Prec@1 58.000 (54.758)	Prec@5 87.500 (83.638)
Epoch: [72][8250/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.7090 (1.6919)	Prec@1 56.500 (54.757)	Prec@5 83.000 (83.637)
Epoch: [72][8260/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.7674 (1.6919)	Prec@1 49.500 (54.757)	Prec@5 84.000 (83.638)
Epoch: [72][8270/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.6413 (1.6919)	Prec@1 54.500 (54.757)	Prec@5 85.000 (83.638)
Epoch: [72][8280/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.5622 (1.6919)	Prec@1 55.500 (54.757)	Prec@5 86.000 (83.639)
Epoch: [72][8290/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.9740 (1.6919)	Prec@1 48.000 (54.758)	Prec@5 77.500 (83.637)
Epoch: [72][8300/9018]	Time 0.627 (0.624)	Data 0.002 (0.003)	Loss 1.7713 (1.6919)	Prec@1 54.000 (54.758)	Prec@5 82.000 (83.637)
Epoch: [72][8310/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.7829 (1.6919)	Prec@1 56.500 (54.759)	Prec@5 83.000 (83.638)
Epoch: [72][8320/9018]	Time 0.639 (0.624)	Data 0.001 (0.003)	Loss 1.7704 (1.6919)	Prec@1 55.500 (54.759)	Prec@5 82.000 (83.637)
Epoch: [72][8330/9018]	Time 0.635 (0.624)	Data 0.002 (0.003)	Loss 1.6056 (1.6919)	Prec@1 61.000 (54.760)	Prec@5 84.500 (83.637)
Epoch: [72][8340/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.6912 (1.6919)	Prec@1 55.500 (54.760)	Prec@5 82.500 (83.635)
Epoch: [72][8350/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.5283 (1.6920)	Prec@1 59.500 (54.759)	Prec@5 86.000 (83.635)
Epoch: [72][8360/9018]	Time 0.632 (0.624)	Data 0.001 (0.003)	Loss 1.6152 (1.6920)	Prec@1 55.500 (54.758)	Prec@5 86.000 (83.634)
Epoch: [72][8370/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.9759 (1.6921)	Prec@1 50.000 (54.758)	Prec@5 81.500 (83.633)
Epoch: [72][8380/9018]	Time 0.661 (0.624)	Data 0.001 (0.003)	Loss 1.6040 (1.6920)	Prec@1 59.500 (54.759)	Prec@5 83.000 (83.634)
Epoch: [72][8390/9018]	Time 0.619 (0.624)	Data 0.014 (0.003)	Loss 1.6070 (1.6921)	Prec@1 55.500 (54.757)	Prec@5 83.000 (83.633)
Epoch: [72][8400/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.8396 (1.6921)	Prec@1 53.500 (54.757)	Prec@5 81.500 (83.635)
Epoch: [72][8410/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.6700 (1.6921)	Prec@1 59.500 (54.757)	Prec@5 80.500 (83.635)
Epoch: [72][8420/9018]	Time 0.635 (0.624)	Data 0.001 (0.003)	Loss 1.7106 (1.6921)	Prec@1 58.000 (54.756)	Prec@5 84.000 (83.635)
Epoch: [72][8430/9018]	Time 0.601 (0.624)	Data 0.016 (0.003)	Loss 1.7701 (1.6921)	Prec@1 53.500 (54.757)	Prec@5 82.500 (83.636)
Epoch: [72][8440/9018]	Time 0.639 (0.624)	Data 0.001 (0.003)	Loss 1.7484 (1.6921)	Prec@1 52.000 (54.758)	Prec@5 83.500 (83.636)
Epoch: [72][8450/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.9281 (1.6921)	Prec@1 46.500 (54.758)	Prec@5 81.000 (83.636)
Epoch: [72][8460/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.7152 (1.6921)	Prec@1 50.500 (54.758)	Prec@5 81.500 (83.636)
Epoch: [72][8470/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.7582 (1.6922)	Prec@1 50.500 (54.757)	Prec@5 83.000 (83.636)
Epoch: [72][8480/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.6709 (1.6922)	Prec@1 57.500 (54.757)	Prec@5 83.000 (83.635)
Epoch: [72][8490/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.7492 (1.6923)	Prec@1 54.000 (54.757)	Prec@5 82.500 (83.634)
Epoch: [72][8500/9018]	Time 0.756 (0.624)	Data 0.006 (0.003)	Loss 1.5944 (1.6923)	Prec@1 57.000 (54.756)	Prec@5 83.500 (83.632)
Epoch: [72][8510/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.5802 (1.6923)	Prec@1 61.000 (54.757)	Prec@5 85.000 (83.633)
Epoch: [72][8520/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.5049 (1.6923)	Prec@1 60.000 (54.756)	Prec@5 84.500 (83.633)
Epoch: [72][8530/9018]	Time 0.642 (0.624)	Data 0.001 (0.003)	Loss 1.7796 (1.6923)	Prec@1 54.500 (54.754)	Prec@5 82.000 (83.632)
Epoch: [72][8540/9018]	Time 0.635 (0.624)	Data 0.001 (0.003)	Loss 1.7858 (1.6923)	Prec@1 52.500 (54.754)	Prec@5 81.500 (83.630)
Epoch: [72][8550/9018]	Time 0.768 (0.624)	Data 0.001 (0.003)	Loss 1.7099 (1.6924)	Prec@1 53.000 (54.752)	Prec@5 81.500 (83.630)
Epoch: [72][8560/9018]	Time 0.609 (0.624)	Data 0.014 (0.003)	Loss 1.5662 (1.6924)	Prec@1 57.000 (54.752)	Prec@5 87.000 (83.629)
Epoch: [72][8570/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.7406 (1.6924)	Prec@1 52.500 (54.752)	Prec@5 83.000 (83.630)
Epoch: [72][8580/9018]	Time 0.595 (0.624)	Data 0.007 (0.003)	Loss 1.5189 (1.6924)	Prec@1 59.500 (54.752)	Prec@5 85.000 (83.630)
Epoch: [72][8590/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.6036 (1.6924)	Prec@1 57.000 (54.750)	Prec@5 88.000 (83.629)
Epoch: [72][8600/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 1.8615 (1.6925)	Prec@1 56.000 (54.749)	Prec@5 82.000 (83.628)
Epoch: [72][8610/9018]	Time 0.619 (0.624)	Data 0.006 (0.003)	Loss 1.7689 (1.6925)	Prec@1 50.500 (54.747)	Prec@5 82.000 (83.626)
Epoch: [72][8620/9018]	Time 0.627 (0.624)	Data 0.015 (0.003)	Loss 1.6182 (1.6925)	Prec@1 59.000 (54.748)	Prec@5 82.000 (83.627)
Epoch: [72][8630/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.6672 (1.6925)	Prec@1 57.000 (54.748)	Prec@5 84.000 (83.629)
Epoch: [72][8640/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.8668 (1.6926)	Prec@1 49.500 (54.746)	Prec@5 80.000 (83.629)
Epoch: [72][8650/9018]	Time 0.600 (0.624)	Data 0.016 (0.003)	Loss 1.5105 (1.6926)	Prec@1 58.500 (54.746)	Prec@5 89.000 (83.628)
Epoch: [72][8660/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.8155 (1.6925)	Prec@1 52.000 (54.746)	Prec@5 82.000 (83.628)
Epoch: [72][8670/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.6380 (1.6925)	Prec@1 53.500 (54.748)	Prec@5 84.000 (83.628)
Epoch: [72][8680/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.5153 (1.6926)	Prec@1 59.500 (54.746)	Prec@5 90.000 (83.628)
Epoch: [72][8690/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.5310 (1.6925)	Prec@1 57.000 (54.746)	Prec@5 85.000 (83.628)
Epoch: [72][8700/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.6684 (1.6925)	Prec@1 58.000 (54.747)	Prec@5 83.500 (83.629)
Epoch: [72][8710/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.9404 (1.6926)	Prec@1 48.000 (54.746)	Prec@5 79.000 (83.629)
Epoch: [72][8720/9018]	Time 0.640 (0.624)	Data 0.001 (0.003)	Loss 1.6890 (1.6925)	Prec@1 53.500 (54.746)	Prec@5 86.500 (83.629)
Epoch: [72][8730/9018]	Time 0.611 (0.624)	Data 0.007 (0.003)	Loss 1.6503 (1.6925)	Prec@1 53.500 (54.747)	Prec@5 82.000 (83.628)
Epoch: [72][8740/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.7127 (1.6926)	Prec@1 55.000 (54.747)	Prec@5 86.500 (83.628)
Epoch: [72][8750/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.6609 (1.6925)	Prec@1 54.000 (54.750)	Prec@5 84.500 (83.629)
Epoch: [72][8760/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.7103 (1.6925)	Prec@1 57.000 (54.749)	Prec@5 85.000 (83.629)
Epoch: [72][8770/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.9288 (1.6925)	Prec@1 54.000 (54.750)	Prec@5 82.000 (83.630)
Epoch: [72][8780/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.7517 (1.6925)	Prec@1 55.500 (54.749)	Prec@5 80.000 (83.630)
Epoch: [72][8790/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.6660 (1.6926)	Prec@1 55.500 (54.747)	Prec@5 86.000 (83.630)
Epoch: [72][8800/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.7400 (1.6925)	Prec@1 58.500 (54.749)	Prec@5 81.000 (83.630)
Epoch: [72][8810/9018]	Time 0.618 (0.624)	Data 0.002 (0.003)	Loss 1.8178 (1.6925)	Prec@1 52.500 (54.750)	Prec@5 81.500 (83.630)
Epoch: [72][8820/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.5723 (1.6925)	Prec@1 58.000 (54.751)	Prec@5 87.000 (83.630)
Epoch: [72][8830/9018]	Time 0.776 (0.624)	Data 0.003 (0.003)	Loss 1.8115 (1.6925)	Prec@1 51.000 (54.749)	Prec@5 81.000 (83.630)
Epoch: [72][8840/9018]	Time 0.605 (0.624)	Data 0.007 (0.003)	Loss 1.6344 (1.6925)	Prec@1 54.000 (54.749)	Prec@5 83.500 (83.629)
Epoch: [72][8850/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.6595 (1.6925)	Prec@1 56.000 (54.750)	Prec@5 85.500 (83.629)
Epoch: [72][8860/9018]	Time 0.620 (0.624)	Data 0.002 (0.003)	Loss 1.6946 (1.6925)	Prec@1 52.500 (54.748)	Prec@5 86.500 (83.629)
Epoch: [72][8870/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.8330 (1.6926)	Prec@1 49.500 (54.747)	Prec@5 81.500 (83.628)
Epoch: [72][8880/9018]	Time 0.726 (0.624)	Data 0.006 (0.003)	Loss 1.5168 (1.6927)	Prec@1 55.000 (54.744)	Prec@5 89.500 (83.627)
Epoch: [72][8890/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.8866 (1.6927)	Prec@1 51.500 (54.742)	Prec@5 81.500 (83.626)
Epoch: [72][8900/9018]	Time 0.634 (0.624)	Data 0.014 (0.003)	Loss 1.8949 (1.6927)	Prec@1 52.000 (54.743)	Prec@5 80.500 (83.626)
Epoch: [72][8910/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.7265 (1.6927)	Prec@1 57.500 (54.744)	Prec@5 84.500 (83.625)
Epoch: [72][8920/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.6317 (1.6927)	Prec@1 56.000 (54.743)	Prec@5 87.000 (83.625)
Epoch: [72][8930/9018]	Time 0.621 (0.624)	Data 0.013 (0.003)	Loss 1.7445 (1.6928)	Prec@1 55.000 (54.742)	Prec@5 84.000 (83.624)
Epoch: [72][8940/9018]	Time 0.597 (0.624)	Data 0.011 (0.003)	Loss 1.8227 (1.6927)	Prec@1 47.500 (54.743)	Prec@5 79.500 (83.626)
Epoch: [72][8950/9018]	Time 0.613 (0.624)	Data 0.014 (0.003)	Loss 1.7342 (1.6927)	Prec@1 53.500 (54.742)	Prec@5 80.000 (83.627)
Epoch: [72][8960/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.7006 (1.6927)	Prec@1 59.500 (54.742)	Prec@5 84.000 (83.626)
Epoch: [72][8970/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.6036 (1.6927)	Prec@1 54.500 (54.742)	Prec@5 87.500 (83.626)
Epoch: [72][8980/9018]	Time 0.635 (0.624)	Data 0.001 (0.003)	Loss 1.5927 (1.6928)	Prec@1 58.000 (54.741)	Prec@5 85.500 (83.626)
Epoch: [72][8990/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.6673 (1.6928)	Prec@1 52.500 (54.739)	Prec@5 85.500 (83.625)
Epoch: [72][9000/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.6969 (1.6928)	Prec@1 53.000 (54.738)	Prec@5 83.000 (83.626)
Epoch: [72][9010/9018]	Time 0.597 (0.624)	Data 0.000 (0.003)	Loss 1.7987 (1.6928)	Prec@1 50.500 (54.737)	Prec@5 84.500 (83.625)
Test: [0/183]	Time 1.652 (1.652)	Loss 2.4627 (2.4627)	Prec@1 37.000 (37.000)	Prec@5 71.500 (71.500)
Test: [10/183]	Time 0.350 (0.347)	Loss 1.5368 (1.6260)	Prec@1 65.000 (57.364)	Prec@5 86.000 (86.000)
Test: [20/183]	Time 0.182 (0.280)	Loss 1.8990 (1.5794)	Prec@1 49.000 (57.786)	Prec@5 82.000 (86.190)
Test: [30/183]	Time 0.208 (0.260)	Loss 2.0814 (1.5885)	Prec@1 38.500 (56.903)	Prec@5 79.000 (86.387)
Test: [40/183]	Time 0.210 (0.247)	Loss 2.2770 (1.5952)	Prec@1 38.500 (57.207)	Prec@5 77.500 (85.720)
Test: [50/183]	Time 0.202 (0.240)	Loss 1.3650 (1.5776)	Prec@1 64.000 (57.608)	Prec@5 89.000 (85.922)
Test: [60/183]	Time 0.298 (0.235)	Loss 2.0056 (1.6455)	Prec@1 48.000 (55.426)	Prec@5 77.500 (85.139)
Test: [70/183]	Time 0.195 (0.231)	Loss 1.6784 (1.6293)	Prec@1 51.500 (55.500)	Prec@5 86.500 (85.592)
Test: [80/183]	Time 0.185 (0.229)	Loss 1.3410 (1.6121)	Prec@1 60.000 (55.728)	Prec@5 93.500 (85.840)
Test: [90/183]	Time 0.231 (0.227)	Loss 2.2931 (1.6123)	Prec@1 37.500 (55.736)	Prec@5 73.000 (85.808)
Test: [100/183]	Time 0.214 (0.226)	Loss 0.6968 (1.6095)	Prec@1 78.500 (55.743)	Prec@5 95.500 (85.832)
Test: [110/183]	Time 0.273 (0.225)	Loss 0.6417 (1.6130)	Prec@1 84.500 (55.730)	Prec@5 96.500 (85.779)
Test: [120/183]	Time 0.220 (0.223)	Loss 2.0874 (1.6188)	Prec@1 43.500 (55.533)	Prec@5 75.000 (85.690)
Test: [130/183]	Time 0.179 (0.222)	Loss 3.0228 (1.6271)	Prec@1 18.500 (55.168)	Prec@5 70.000 (85.714)
Test: [140/183]	Time 0.185 (0.221)	Loss 1.4556 (1.6188)	Prec@1 64.500 (55.426)	Prec@5 86.500 (85.809)
Test: [150/183]	Time 0.182 (0.220)	Loss 0.6795 (1.6205)	Prec@1 81.000 (55.450)	Prec@5 98.000 (85.772)
Test: [160/183]	Time 0.257 (0.220)	Loss 1.6225 (1.6175)	Prec@1 52.500 (55.649)	Prec@5 85.000 (85.795)
Test: [170/183]	Time 0.203 (0.219)	Loss 2.1339 (1.6316)	Prec@1 31.000 (55.249)	Prec@5 83.000 (85.629)
Test: [180/183]	Time 0.199 (0.218)	Loss 1.9561 (1.6407)	Prec@1 45.000 (55.163)	Prec@5 83.500 (85.497)
 * Prec@1 55.151 Prec@5 85.482
Epoch: [73][0/9018]	Time 3.151 (3.151)	Data 2.538 (2.538)	Loss 1.4513 (1.4513)	Prec@1 61.500 (61.500)	Prec@5 88.500 (88.500)
Epoch: [73][10/9018]	Time 0.602 (0.863)	Data 0.001 (0.233)	Loss 1.7647 (1.6924)	Prec@1 54.500 (54.500)	Prec@5 78.500 (83.591)
Epoch: [73][20/9018]	Time 0.601 (0.740)	Data 0.001 (0.124)	Loss 1.7711 (1.6872)	Prec@1 53.500 (55.452)	Prec@5 83.500 (83.738)
Epoch: [73][30/9018]	Time 0.602 (0.700)	Data 0.001 (0.084)	Loss 1.6021 (1.6905)	Prec@1 61.500 (55.484)	Prec@5 82.500 (83.645)
Epoch: [73][40/9018]	Time 0.612 (0.680)	Data 0.001 (0.064)	Loss 1.6633 (1.6931)	Prec@1 56.500 (55.232)	Prec@5 84.000 (83.659)
Epoch: [73][50/9018]	Time 0.604 (0.671)	Data 0.001 (0.052)	Loss 1.5985 (1.6869)	Prec@1 60.500 (55.441)	Prec@5 83.500 (83.647)
Epoch: [73][60/9018]	Time 0.634 (0.665)	Data 0.001 (0.044)	Loss 1.7928 (1.6863)	Prec@1 55.000 (55.484)	Prec@5 82.500 (83.648)
Epoch: [73][70/9018]	Time 0.604 (0.658)	Data 0.002 (0.038)	Loss 1.6366 (1.6751)	Prec@1 59.000 (55.641)	Prec@5 82.000 (83.782)
Epoch: [73][80/9018]	Time 0.595 (0.653)	Data 0.001 (0.034)	Loss 1.4297 (1.6737)	Prec@1 60.500 (55.698)	Prec@5 89.000 (83.778)
Epoch: [73][90/9018]	Time 0.626 (0.649)	Data 0.001 (0.030)	Loss 1.5535 (1.6765)	Prec@1 58.000 (55.665)	Prec@5 87.500 (83.615)
Epoch: [73][100/9018]	Time 0.639 (0.647)	Data 0.001 (0.028)	Loss 1.4853 (1.6751)	Prec@1 57.500 (55.559)	Prec@5 86.500 (83.698)
Epoch: [73][110/9018]	Time 0.623 (0.646)	Data 0.001 (0.025)	Loss 1.7994 (1.6742)	Prec@1 53.000 (55.545)	Prec@5 82.500 (83.734)
Epoch: [73][120/9018]	Time 0.627 (0.644)	Data 0.001 (0.024)	Loss 1.6476 (1.6714)	Prec@1 56.500 (55.731)	Prec@5 81.500 (83.798)
Epoch: [73][130/9018]	Time 0.638 (0.643)	Data 0.001 (0.022)	Loss 1.5512 (1.6718)	Prec@1 60.000 (55.721)	Prec@5 86.500 (83.782)
Epoch: [73][140/9018]	Time 0.608 (0.641)	Data 0.001 (0.021)	Loss 1.7244 (1.6699)	Prec@1 52.000 (55.642)	Prec@5 83.500 (83.805)
Epoch: [73][150/9018]	Time 0.612 (0.640)	Data 0.001 (0.019)	Loss 1.7266 (1.6757)	Prec@1 54.000 (55.477)	Prec@5 85.000 (83.775)
Epoch: [73][160/9018]	Time 0.652 (0.640)	Data 0.001 (0.019)	Loss 1.6388 (1.6768)	Prec@1 56.000 (55.469)	Prec@5 87.000 (83.789)
Epoch: [73][170/9018]	Time 0.599 (0.638)	Data 0.001 (0.018)	Loss 1.6192 (1.6780)	Prec@1 56.000 (55.392)	Prec@5 86.000 (83.751)
Epoch: [73][180/9018]	Time 0.629 (0.638)	Data 0.017 (0.017)	Loss 1.7343 (1.6791)	Prec@1 53.500 (55.307)	Prec@5 82.500 (83.704)
Epoch: [73][190/9018]	Time 0.607 (0.637)	Data 0.001 (0.017)	Loss 1.8015 (1.6782)	Prec@1 52.000 (55.254)	Prec@5 85.500 (83.772)
Epoch: [73][200/9018]	Time 0.611 (0.637)	Data 0.001 (0.016)	Loss 1.7665 (1.6804)	Prec@1 51.500 (55.231)	Prec@5 82.500 (83.746)
Epoch: [73][210/9018]	Time 0.636 (0.637)	Data 0.001 (0.015)	Loss 1.8691 (1.6824)	Prec@1 48.000 (55.164)	Prec@5 82.500 (83.725)
Epoch: [73][220/9018]	Time 0.642 (0.636)	Data 0.017 (0.015)	Loss 1.7261 (1.6832)	Prec@1 52.000 (55.104)	Prec@5 86.000 (83.713)
Epoch: [73][230/9018]	Time 0.612 (0.636)	Data 0.001 (0.014)	Loss 1.7077 (1.6852)	Prec@1 53.500 (55.054)	Prec@5 86.000 (83.667)
Epoch: [73][240/9018]	Time 0.774 (0.636)	Data 0.008 (0.014)	Loss 1.5696 (1.6858)	Prec@1 55.500 (54.998)	Prec@5 87.500 (83.693)
Epoch: [73][250/9018]	Time 0.631 (0.635)	Data 0.003 (0.013)	Loss 1.9173 (1.6854)	Prec@1 49.500 (55.030)	Prec@5 82.500 (83.717)
Epoch: [73][260/9018]	Time 0.596 (0.635)	Data 0.016 (0.013)	Loss 1.8270 (1.6851)	Prec@1 51.500 (55.038)	Prec@5 83.500 (83.711)
Epoch: [73][270/9018]	Time 0.620 (0.634)	Data 0.001 (0.013)	Loss 1.7185 (1.6846)	Prec@1 55.500 (55.054)	Prec@5 86.500 (83.707)
Epoch: [73][280/9018]	Time 0.609 (0.634)	Data 0.001 (0.012)	Loss 1.8516 (1.6824)	Prec@1 51.000 (55.103)	Prec@5 82.000 (83.747)
Epoch: [73][290/9018]	Time 0.714 (0.633)	Data 0.001 (0.012)	Loss 2.0127 (1.6854)	Prec@1 48.000 (55.010)	Prec@5 77.500 (83.698)
Epoch: [73][300/9018]	Time 0.596 (0.633)	Data 0.001 (0.012)	Loss 1.8067 (1.6858)	Prec@1 53.000 (55.028)	Prec@5 83.500 (83.669)
Epoch: [73][310/9018]	Time 0.598 (0.633)	Data 0.014 (0.011)	Loss 1.7547 (1.6865)	Prec@1 52.000 (55.008)	Prec@5 81.000 (83.666)
Epoch: [73][320/9018]	Time 0.648 (0.632)	Data 0.001 (0.011)	Loss 1.8204 (1.6851)	Prec@1 54.000 (55.026)	Prec@5 80.500 (83.698)
Epoch: [73][330/9018]	Time 0.639 (0.632)	Data 0.001 (0.011)	Loss 1.7570 (1.6869)	Prec@1 54.500 (55.000)	Prec@5 82.500 (83.681)
Epoch: [73][340/9018]	Time 0.638 (0.632)	Data 0.014 (0.011)	Loss 1.5492 (1.6859)	Prec@1 56.000 (54.987)	Prec@5 87.000 (83.698)
Epoch: [73][350/9018]	Time 0.612 (0.631)	Data 0.001 (0.010)	Loss 1.8827 (1.6865)	Prec@1 51.000 (54.986)	Prec@5 77.000 (83.687)
Epoch: [73][360/9018]	Time 0.619 (0.631)	Data 0.001 (0.010)	Loss 1.7159 (1.6858)	Prec@1 57.000 (55.001)	Prec@5 85.000 (83.694)
Epoch: [73][370/9018]	Time 0.606 (0.631)	Data 0.001 (0.010)	Loss 1.5613 (1.6843)	Prec@1 53.500 (55.038)	Prec@5 84.500 (83.737)
Epoch: [73][380/9018]	Time 0.633 (0.631)	Data 0.001 (0.010)	Loss 1.7327 (1.6831)	Prec@1 46.500 (55.058)	Prec@5 80.500 (83.764)
Epoch: [73][390/9018]	Time 0.633 (0.631)	Data 0.001 (0.010)	Loss 1.6557 (1.6826)	Prec@1 51.500 (55.023)	Prec@5 84.500 (83.788)
Epoch: [73][400/9018]	Time 0.639 (0.631)	Data 0.001 (0.009)	Loss 1.7092 (1.6826)	Prec@1 53.000 (54.963)	Prec@5 82.000 (83.787)
Epoch: [73][410/9018]	Time 0.624 (0.631)	Data 0.020 (0.009)	Loss 1.4813 (1.6821)	Prec@1 55.500 (54.988)	Prec@5 86.000 (83.783)
Epoch: [73][420/9018]	Time 0.597 (0.631)	Data 0.007 (0.009)	Loss 1.7094 (1.6809)	Prec@1 52.000 (55.020)	Prec@5 81.500 (83.789)
Epoch: [73][430/9018]	Time 0.632 (0.631)	Data 0.001 (0.009)	Loss 1.7139 (1.6793)	Prec@1 53.000 (55.061)	Prec@5 83.500 (83.810)
Epoch: [73][440/9018]	Time 0.612 (0.631)	Data 0.003 (0.009)	Loss 1.4898 (1.6790)	Prec@1 57.000 (55.042)	Prec@5 88.000 (83.828)
Epoch: [73][450/9018]	Time 0.657 (0.630)	Data 0.001 (0.009)	Loss 1.5759 (1.6794)	Prec@1 59.500 (55.027)	Prec@5 86.000 (83.826)
Epoch: [73][460/9018]	Time 0.623 (0.630)	Data 0.001 (0.009)	Loss 1.7288 (1.6806)	Prec@1 54.500 (54.996)	Prec@5 82.000 (83.812)
Epoch: [73][470/9018]	Time 0.614 (0.630)	Data 0.001 (0.009)	Loss 1.7452 (1.6804)	Prec@1 54.000 (55.006)	Prec@5 84.000 (83.804)
Epoch: [73][480/9018]	Time 0.634 (0.630)	Data 0.001 (0.008)	Loss 1.4699 (1.6812)	Prec@1 58.500 (54.981)	Prec@5 87.000 (83.796)
Epoch: [73][490/9018]	Time 0.637 (0.630)	Data 0.001 (0.008)	Loss 1.8688 (1.6818)	Prec@1 54.000 (54.983)	Prec@5 79.000 (83.765)
Epoch: [73][500/9018]	Time 0.619 (0.630)	Data 0.001 (0.008)	Loss 1.4000 (1.6806)	Prec@1 63.500 (55.010)	Prec@5 87.500 (83.780)
Epoch: [73][510/9018]	Time 0.596 (0.630)	Data 0.001 (0.008)	Loss 1.5775 (1.6810)	Prec@1 52.500 (54.985)	Prec@5 83.500 (83.774)
Epoch: [73][520/9018]	Time 0.594 (0.630)	Data 0.001 (0.008)	Loss 1.8204 (1.6816)	Prec@1 54.500 (54.956)	Prec@5 81.500 (83.773)
Epoch: [73][530/9018]	Time 0.622 (0.630)	Data 0.001 (0.008)	Loss 1.7228 (1.6811)	Prec@1 55.500 (54.985)	Prec@5 84.500 (83.791)
Epoch: [73][540/9018]	Time 0.608 (0.630)	Data 0.001 (0.008)	Loss 1.7939 (1.6808)	Prec@1 51.000 (55.007)	Prec@5 81.500 (83.800)
Epoch: [73][550/9018]	Time 0.614 (0.629)	Data 0.001 (0.008)	Loss 1.5193 (1.6795)	Prec@1 57.000 (55.044)	Prec@5 88.500 (83.819)
Epoch: [73][560/9018]	Time 0.615 (0.629)	Data 0.001 (0.008)	Loss 1.7721 (1.6798)	Prec@1 51.000 (55.037)	Prec@5 86.000 (83.820)
Epoch: [73][570/9018]	Time 0.766 (0.629)	Data 0.001 (0.008)	Loss 1.6253 (1.6798)	Prec@1 56.500 (55.052)	Prec@5 83.000 (83.824)
Epoch: [73][580/9018]	Time 0.605 (0.629)	Data 0.001 (0.007)	Loss 1.4445 (1.6796)	Prec@1 63.500 (55.077)	Prec@5 89.000 (83.826)
Epoch: [73][590/9018]	Time 0.633 (0.629)	Data 0.017 (0.007)	Loss 1.8602 (1.6798)	Prec@1 55.500 (55.065)	Prec@5 80.500 (83.820)
Epoch: [73][600/9018]	Time 0.638 (0.629)	Data 0.001 (0.007)	Loss 1.7299 (1.6796)	Prec@1 55.500 (55.061)	Prec@5 77.500 (83.813)
Epoch: [73][610/9018]	Time 0.601 (0.629)	Data 0.001 (0.007)	Loss 1.6965 (1.6794)	Prec@1 52.500 (55.048)	Prec@5 82.000 (83.834)
Epoch: [73][620/9018]	Time 0.744 (0.629)	Data 0.001 (0.007)	Loss 1.8263 (1.6793)	Prec@1 54.500 (55.051)	Prec@5 80.500 (83.842)
Epoch: [73][630/9018]	Time 0.618 (0.629)	Data 0.004 (0.007)	Loss 1.8637 (1.6793)	Prec@1 51.500 (55.059)	Prec@5 79.000 (83.844)
Epoch: [73][640/9018]	Time 0.636 (0.628)	Data 0.001 (0.007)	Loss 1.8216 (1.6801)	Prec@1 47.000 (55.034)	Prec@5 81.500 (83.824)
Epoch: [73][650/9018]	Time 0.617 (0.628)	Data 0.017 (0.007)	Loss 1.8424 (1.6802)	Prec@1 55.000 (55.042)	Prec@5 81.500 (83.826)
Epoch: [73][660/9018]	Time 0.622 (0.628)	Data 0.001 (0.007)	Loss 1.7283 (1.6802)	Prec@1 52.000 (55.051)	Prec@5 82.500 (83.827)
Epoch: [73][670/9018]	Time 0.618 (0.628)	Data 0.001 (0.007)	Loss 1.7121 (1.6810)	Prec@1 57.500 (55.040)	Prec@5 82.000 (83.806)
Epoch: [73][680/9018]	Time 0.639 (0.628)	Data 0.001 (0.007)	Loss 1.6413 (1.6805)	Prec@1 57.500 (55.054)	Prec@5 84.500 (83.805)
Epoch: [73][690/9018]	Time 0.611 (0.628)	Data 0.001 (0.007)	Loss 1.5663 (1.6804)	Prec@1 55.500 (55.051)	Prec@5 86.000 (83.797)
Epoch: [73][700/9018]	Time 0.606 (0.628)	Data 0.001 (0.007)	Loss 1.5878 (1.6808)	Prec@1 58.000 (55.044)	Prec@5 83.000 (83.778)
Epoch: [73][710/9018]	Time 0.593 (0.628)	Data 0.001 (0.007)	Loss 1.5395 (1.6803)	Prec@1 56.500 (55.045)	Prec@5 84.500 (83.792)
Epoch: [73][720/9018]	Time 0.621 (0.628)	Data 0.001 (0.007)	Loss 1.7922 (1.6801)	Prec@1 52.000 (55.033)	Prec@5 79.500 (83.793)
Epoch: [73][730/9018]	Time 0.594 (0.628)	Data 0.001 (0.006)	Loss 1.7967 (1.6801)	Prec@1 56.500 (55.053)	Prec@5 83.500 (83.802)
Epoch: [73][740/9018]	Time 0.623 (0.628)	Data 0.001 (0.006)	Loss 1.5383 (1.6807)	Prec@1 55.000 (55.022)	Prec@5 87.000 (83.793)
Epoch: [73][750/9018]	Time 0.604 (0.628)	Data 0.001 (0.006)	Loss 1.8775 (1.6802)	Prec@1 51.500 (55.031)	Prec@5 80.000 (83.801)
Epoch: [73][760/9018]	Time 0.624 (0.628)	Data 0.001 (0.006)	Loss 1.6837 (1.6805)	Prec@1 55.000 (55.020)	Prec@5 83.500 (83.784)
Epoch: [73][770/9018]	Time 0.618 (0.628)	Data 0.001 (0.006)	Loss 1.8321 (1.6808)	Prec@1 50.500 (54.996)	Prec@5 80.500 (83.778)
Epoch: [73][780/9018]	Time 0.592 (0.628)	Data 0.001 (0.006)	Loss 1.7061 (1.6802)	Prec@1 54.500 (55.014)	Prec@5 82.000 (83.792)
Epoch: [73][790/9018]	Time 0.630 (0.628)	Data 0.001 (0.006)	Loss 1.5326 (1.6798)	Prec@1 57.000 (55.031)	Prec@5 85.000 (83.786)
Epoch: [73][800/9018]	Time 0.618 (0.628)	Data 0.012 (0.006)	Loss 1.4836 (1.6797)	Prec@1 60.500 (55.032)	Prec@5 88.000 (83.795)
Epoch: [73][810/9018]	Time 0.604 (0.628)	Data 0.001 (0.006)	Loss 1.9638 (1.6796)	Prec@1 44.000 (55.035)	Prec@5 77.500 (83.797)
Epoch: [73][820/9018]	Time 0.592 (0.628)	Data 0.001 (0.006)	Loss 1.5856 (1.6800)	Prec@1 54.000 (55.022)	Prec@5 85.500 (83.795)
Epoch: [73][830/9018]	Time 0.605 (0.627)	Data 0.001 (0.006)	Loss 1.6009 (1.6800)	Prec@1 59.000 (55.032)	Prec@5 88.500 (83.789)
Epoch: [73][840/9018]	Time 0.608 (0.627)	Data 0.001 (0.006)	Loss 1.6371 (1.6805)	Prec@1 55.000 (55.011)	Prec@5 84.500 (83.787)
Epoch: [73][850/9018]	Time 0.633 (0.627)	Data 0.001 (0.006)	Loss 1.5454 (1.6796)	Prec@1 57.500 (55.018)	Prec@5 88.500 (83.813)
Epoch: [73][860/9018]	Time 0.630 (0.627)	Data 0.001 (0.006)	Loss 1.8724 (1.6804)	Prec@1 51.500 (55.009)	Prec@5 83.500 (83.791)
Epoch: [73][870/9018]	Time 0.626 (0.627)	Data 0.001 (0.006)	Loss 1.6322 (1.6794)	Prec@1 57.500 (55.040)	Prec@5 82.500 (83.792)
Epoch: [73][880/9018]	Time 0.607 (0.627)	Data 0.001 (0.006)	Loss 1.6946 (1.6789)	Prec@1 56.000 (55.053)	Prec@5 83.000 (83.805)
Epoch: [73][890/9018]	Time 0.593 (0.627)	Data 0.001 (0.006)	Loss 1.6613 (1.6792)	Prec@1 52.000 (55.044)	Prec@5 85.000 (83.802)
Epoch: [73][900/9018]	Time 0.787 (0.627)	Data 0.001 (0.006)	Loss 1.6117 (1.6795)	Prec@1 56.500 (55.055)	Prec@5 89.000 (83.805)
Epoch: [73][910/9018]	Time 0.627 (0.627)	Data 0.015 (0.006)	Loss 1.6733 (1.6791)	Prec@1 58.500 (55.069)	Prec@5 84.000 (83.810)
Epoch: [73][920/9018]	Time 0.600 (0.627)	Data 0.001 (0.006)	Loss 1.6439 (1.6795)	Prec@1 55.500 (55.062)	Prec@5 85.500 (83.804)
Epoch: [73][930/9018]	Time 0.604 (0.627)	Data 0.001 (0.006)	Loss 1.4459 (1.6789)	Prec@1 59.000 (55.078)	Prec@5 89.000 (83.811)
Epoch: [73][940/9018]	Time 0.619 (0.627)	Data 0.001 (0.006)	Loss 1.5837 (1.6785)	Prec@1 53.000 (55.086)	Prec@5 82.000 (83.817)
Epoch: [73][950/9018]	Time 0.770 (0.627)	Data 0.001 (0.006)	Loss 1.5092 (1.6787)	Prec@1 58.500 (55.075)	Prec@5 87.000 (83.818)
Epoch: [73][960/9018]	Time 0.631 (0.627)	Data 0.015 (0.006)	Loss 1.7608 (1.6786)	Prec@1 51.500 (55.066)	Prec@5 82.500 (83.827)
Epoch: [73][970/9018]	Time 0.662 (0.627)	Data 0.014 (0.006)	Loss 1.5203 (1.6780)	Prec@1 57.000 (55.076)	Prec@5 89.000 (83.837)
Epoch: [73][980/9018]	Time 0.621 (0.627)	Data 0.001 (0.006)	Loss 1.9413 (1.6793)	Prec@1 47.000 (55.044)	Prec@5 82.000 (83.817)
Epoch: [73][990/9018]	Time 0.607 (0.627)	Data 0.001 (0.006)	Loss 1.6703 (1.6796)	Prec@1 54.000 (55.027)	Prec@5 84.000 (83.819)
Epoch: [73][1000/9018]	Time 0.602 (0.627)	Data 0.001 (0.006)	Loss 1.5159 (1.6791)	Prec@1 59.000 (55.028)	Prec@5 83.500 (83.828)
Epoch: [73][1010/9018]	Time 0.617 (0.627)	Data 0.001 (0.005)	Loss 1.5167 (1.6790)	Prec@1 58.500 (55.034)	Prec@5 88.500 (83.837)
Epoch: [73][1020/9018]	Time 0.596 (0.627)	Data 0.001 (0.005)	Loss 1.6639 (1.6786)	Prec@1 55.500 (55.053)	Prec@5 84.000 (83.851)
Epoch: [73][1030/9018]	Time 0.633 (0.627)	Data 0.001 (0.005)	Loss 1.7736 (1.6788)	Prec@1 54.500 (55.062)	Prec@5 82.000 (83.842)
Epoch: [73][1040/9018]	Time 0.596 (0.627)	Data 0.001 (0.005)	Loss 1.5280 (1.6788)	Prec@1 62.500 (55.062)	Prec@5 85.500 (83.832)
Epoch: [73][1050/9018]	Time 0.635 (0.627)	Data 0.001 (0.005)	Loss 1.6684 (1.6786)	Prec@1 54.000 (55.060)	Prec@5 83.500 (83.827)
Epoch: [73][1060/9018]	Time 0.625 (0.627)	Data 0.005 (0.005)	Loss 1.6004 (1.6790)	Prec@1 52.500 (55.045)	Prec@5 89.000 (83.824)
Epoch: [73][1070/9018]	Time 0.608 (0.627)	Data 0.014 (0.005)	Loss 1.7754 (1.6791)	Prec@1 54.000 (55.043)	Prec@5 82.500 (83.820)
Epoch: [73][1080/9018]	Time 0.641 (0.627)	Data 0.002 (0.005)	Loss 1.6028 (1.6786)	Prec@1 59.500 (55.051)	Prec@5 87.000 (83.835)
Epoch: [73][1090/9018]	Time 0.657 (0.627)	Data 0.014 (0.005)	Loss 1.6028 (1.6788)	Prec@1 58.500 (55.039)	Prec@5 84.500 (83.839)
Epoch: [73][1100/9018]	Time 0.646 (0.627)	Data 0.001 (0.005)	Loss 1.7308 (1.6792)	Prec@1 54.000 (55.036)	Prec@5 82.000 (83.832)
Epoch: [73][1110/9018]	Time 0.629 (0.627)	Data 0.001 (0.005)	Loss 1.6516 (1.6792)	Prec@1 58.000 (55.048)	Prec@5 83.500 (83.828)
Epoch: [73][1120/9018]	Time 0.609 (0.627)	Data 0.001 (0.005)	Loss 1.6325 (1.6792)	Prec@1 52.000 (55.050)	Prec@5 86.000 (83.828)
Epoch: [73][1130/9018]	Time 0.610 (0.627)	Data 0.016 (0.005)	Loss 1.8613 (1.6794)	Prec@1 53.500 (55.052)	Prec@5 80.000 (83.824)
Epoch: [73][1140/9018]	Time 0.624 (0.627)	Data 0.001 (0.005)	Loss 1.7321 (1.6792)	Prec@1 52.000 (55.060)	Prec@5 83.500 (83.832)
Epoch: [73][1150/9018]	Time 0.628 (0.627)	Data 0.001 (0.005)	Loss 1.6811 (1.6787)	Prec@1 57.000 (55.072)	Prec@5 87.500 (83.850)
Epoch: [73][1160/9018]	Time 0.626 (0.627)	Data 0.001 (0.005)	Loss 1.5752 (1.6786)	Prec@1 57.500 (55.084)	Prec@5 86.500 (83.854)
Epoch: [73][1170/9018]	Time 0.610 (0.627)	Data 0.004 (0.005)	Loss 1.7673 (1.6788)	Prec@1 54.000 (55.072)	Prec@5 81.000 (83.848)
Epoch: [73][1180/9018]	Time 0.605 (0.627)	Data 0.001 (0.005)	Loss 1.6592 (1.6788)	Prec@1 55.500 (55.061)	Prec@5 82.500 (83.854)
Epoch: [73][1190/9018]	Time 0.623 (0.627)	Data 0.001 (0.005)	Loss 1.6434 (1.6787)	Prec@1 58.000 (55.053)	Prec@5 79.000 (83.856)
Epoch: [73][1200/9018]	Time 0.654 (0.627)	Data 0.001 (0.005)	Loss 1.5191 (1.6784)	Prec@1 58.000 (55.061)	Prec@5 84.000 (83.860)
Epoch: [73][1210/9018]	Time 0.622 (0.627)	Data 0.001 (0.005)	Loss 1.4329 (1.6782)	Prec@1 63.000 (55.081)	Prec@5 87.500 (83.860)
Epoch: [73][1220/9018]	Time 0.600 (0.627)	Data 0.001 (0.005)	Loss 1.5708 (1.6782)	Prec@1 54.500 (55.084)	Prec@5 86.500 (83.861)
Epoch: [73][1230/9018]	Time 0.787 (0.627)	Data 0.001 (0.005)	Loss 1.6860 (1.6786)	Prec@1 52.500 (55.074)	Prec@5 80.000 (83.852)
Epoch: [73][1240/9018]	Time 0.594 (0.627)	Data 0.001 (0.005)	Loss 1.8718 (1.6781)	Prec@1 53.000 (55.091)	Prec@5 79.500 (83.858)
Epoch: [73][1250/9018]	Time 0.641 (0.627)	Data 0.001 (0.005)	Loss 1.7858 (1.6777)	Prec@1 57.000 (55.108)	Prec@5 83.000 (83.867)
Epoch: [73][1260/9018]	Time 0.599 (0.627)	Data 0.015 (0.005)	Loss 1.7142 (1.6781)	Prec@1 51.500 (55.102)	Prec@5 84.000 (83.857)
Epoch: [73][1270/9018]	Time 0.619 (0.627)	Data 0.014 (0.005)	Loss 1.4643 (1.6775)	Prec@1 63.000 (55.121)	Prec@5 89.000 (83.868)
Epoch: [73][1280/9018]	Time 0.764 (0.627)	Data 0.001 (0.005)	Loss 1.5606 (1.6778)	Prec@1 57.000 (55.110)	Prec@5 86.000 (83.867)
Epoch: [73][1290/9018]	Time 0.622 (0.627)	Data 0.001 (0.005)	Loss 1.8378 (1.6784)	Prec@1 52.000 (55.098)	Prec@5 78.500 (83.847)
Epoch: [73][1300/9018]	Time 0.586 (0.627)	Data 0.001 (0.005)	Loss 1.6539 (1.6777)	Prec@1 57.000 (55.120)	Prec@5 85.500 (83.859)
Epoch: [73][1310/9018]	Time 0.625 (0.627)	Data 0.001 (0.005)	Loss 1.7153 (1.6780)	Prec@1 53.000 (55.114)	Prec@5 83.500 (83.855)
Epoch: [73][1320/9018]	Time 0.606 (0.627)	Data 0.015 (0.005)	Loss 1.7451 (1.6780)	Prec@1 54.000 (55.103)	Prec@5 83.500 (83.855)
Epoch: [73][1330/9018]	Time 0.630 (0.627)	Data 0.016 (0.005)	Loss 1.4234 (1.6777)	Prec@1 61.500 (55.103)	Prec@5 87.000 (83.859)
Epoch: [73][1340/9018]	Time 0.627 (0.627)	Data 0.001 (0.005)	Loss 1.7092 (1.6777)	Prec@1 58.000 (55.099)	Prec@5 84.000 (83.857)
Epoch: [73][1350/9018]	Time 0.588 (0.627)	Data 0.001 (0.005)	Loss 1.6628 (1.6778)	Prec@1 54.500 (55.098)	Prec@5 84.000 (83.853)
Epoch: [73][1360/9018]	Time 0.616 (0.627)	Data 0.001 (0.005)	Loss 1.5741 (1.6782)	Prec@1 55.500 (55.088)	Prec@5 86.500 (83.847)
Epoch: [73][1370/9018]	Time 0.633 (0.627)	Data 0.005 (0.005)	Loss 1.4596 (1.6780)	Prec@1 60.000 (55.099)	Prec@5 88.500 (83.853)
Epoch: [73][1380/9018]	Time 0.603 (0.627)	Data 0.015 (0.005)	Loss 1.7819 (1.6780)	Prec@1 56.000 (55.101)	Prec@5 82.500 (83.855)
Epoch: [73][1390/9018]	Time 0.617 (0.627)	Data 0.002 (0.005)	Loss 1.5394 (1.6783)	Prec@1 57.000 (55.085)	Prec@5 85.000 (83.845)
Epoch: [73][1400/9018]	Time 0.625 (0.627)	Data 0.008 (0.005)	Loss 1.6330 (1.6784)	Prec@1 56.000 (55.081)	Prec@5 85.500 (83.840)
Epoch: [73][1410/9018]	Time 0.598 (0.627)	Data 0.016 (0.005)	Loss 1.7863 (1.6783)	Prec@1 56.000 (55.089)	Prec@5 79.500 (83.833)
Epoch: [73][1420/9018]	Time 0.612 (0.627)	Data 0.006 (0.005)	Loss 1.4854 (1.6782)	Prec@1 62.500 (55.110)	Prec@5 88.500 (83.835)
Epoch: [73][1430/9018]	Time 0.645 (0.627)	Data 0.001 (0.005)	Loss 1.7133 (1.6780)	Prec@1 53.000 (55.115)	Prec@5 82.500 (83.835)
Epoch: [73][1440/9018]	Time 0.609 (0.627)	Data 0.001 (0.005)	Loss 1.7942 (1.6788)	Prec@1 51.000 (55.096)	Prec@5 80.000 (83.825)
Epoch: [73][1450/9018]	Time 0.634 (0.627)	Data 0.014 (0.005)	Loss 1.5707 (1.6790)	Prec@1 57.000 (55.092)	Prec@5 87.500 (83.827)
Epoch: [73][1460/9018]	Time 0.638 (0.627)	Data 0.001 (0.005)	Loss 1.7034 (1.6787)	Prec@1 55.000 (55.093)	Prec@5 82.000 (83.831)
Epoch: [73][1470/9018]	Time 0.629 (0.627)	Data 0.001 (0.005)	Loss 1.7373 (1.6786)	Prec@1 54.000 (55.092)	Prec@5 82.000 (83.834)
Epoch: [73][1480/9018]	Time 0.640 (0.627)	Data 0.015 (0.005)	Loss 1.6265 (1.6784)	Prec@1 55.000 (55.088)	Prec@5 84.500 (83.835)
Epoch: [73][1490/9018]	Time 0.594 (0.627)	Data 0.001 (0.005)	Loss 1.5709 (1.6784)	Prec@1 56.500 (55.090)	Prec@5 87.500 (83.837)
Epoch: [73][1500/9018]	Time 0.621 (0.627)	Data 0.001 (0.005)	Loss 1.6087 (1.6784)	Prec@1 57.500 (55.091)	Prec@5 82.500 (83.835)
Epoch: [73][1510/9018]	Time 0.631 (0.627)	Data 0.001 (0.005)	Loss 1.7141 (1.6784)	Prec@1 57.500 (55.094)	Prec@5 84.000 (83.830)
Epoch: [73][1520/9018]	Time 0.622 (0.627)	Data 0.001 (0.005)	Loss 1.5401 (1.6786)	Prec@1 58.000 (55.095)	Prec@5 88.500 (83.832)
Epoch: [73][1530/9018]	Time 0.623 (0.627)	Data 0.001 (0.005)	Loss 1.6872 (1.6786)	Prec@1 57.500 (55.099)	Prec@5 85.500 (83.828)
Epoch: [73][1540/9018]	Time 0.606 (0.627)	Data 0.001 (0.005)	Loss 1.6788 (1.6790)	Prec@1 56.000 (55.092)	Prec@5 83.000 (83.823)
Epoch: [73][1550/9018]	Time 0.604 (0.627)	Data 0.001 (0.005)	Loss 1.7517 (1.6790)	Prec@1 50.000 (55.092)	Prec@5 81.000 (83.820)
Epoch: [73][1560/9018]	Time 0.733 (0.627)	Data 0.001 (0.005)	Loss 1.7386 (1.6792)	Prec@1 54.000 (55.090)	Prec@5 83.500 (83.814)
Epoch: [73][1570/9018]	Time 0.597 (0.627)	Data 0.001 (0.005)	Loss 1.5886 (1.6793)	Prec@1 53.000 (55.089)	Prec@5 84.500 (83.811)
Epoch: [73][1580/9018]	Time 0.601 (0.627)	Data 0.001 (0.005)	Loss 1.8352 (1.6791)	Prec@1 53.500 (55.097)	Prec@5 81.500 (83.812)
Epoch: [73][1590/9018]	Time 0.648 (0.626)	Data 0.014 (0.005)	Loss 1.8145 (1.6794)	Prec@1 51.000 (55.094)	Prec@5 83.500 (83.813)
Epoch: [73][1600/9018]	Time 0.627 (0.627)	Data 0.001 (0.005)	Loss 1.7233 (1.6794)	Prec@1 52.000 (55.094)	Prec@5 87.500 (83.818)
Epoch: [73][1610/9018]	Time 0.772 (0.626)	Data 0.001 (0.005)	Loss 1.9352 (1.6801)	Prec@1 52.500 (55.082)	Prec@5 82.000 (83.807)
Epoch: [73][1620/9018]	Time 0.636 (0.626)	Data 0.001 (0.005)	Loss 1.8189 (1.6799)	Prec@1 54.000 (55.087)	Prec@5 82.000 (83.808)
Epoch: [73][1630/9018]	Time 0.620 (0.627)	Data 0.001 (0.005)	Loss 1.6240 (1.6799)	Prec@1 57.500 (55.086)	Prec@5 84.500 (83.803)
Epoch: [73][1640/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.8155 (1.6803)	Prec@1 50.000 (55.080)	Prec@5 83.000 (83.798)
Epoch: [73][1650/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.9178 (1.6805)	Prec@1 50.000 (55.077)	Prec@5 80.000 (83.795)
Epoch: [73][1660/9018]	Time 0.640 (0.626)	Data 0.009 (0.004)	Loss 1.7884 (1.6810)	Prec@1 58.000 (55.066)	Prec@5 79.500 (83.782)
Epoch: [73][1670/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 1.6220 (1.6810)	Prec@1 59.000 (55.065)	Prec@5 82.500 (83.782)
Epoch: [73][1680/9018]	Time 0.604 (0.626)	Data 0.014 (0.004)	Loss 1.7093 (1.6808)	Prec@1 58.000 (55.064)	Prec@5 85.500 (83.789)
Epoch: [73][1690/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.7428 (1.6807)	Prec@1 55.500 (55.069)	Prec@5 82.500 (83.785)
Epoch: [73][1700/9018]	Time 0.591 (0.626)	Data 0.001 (0.004)	Loss 1.7822 (1.6809)	Prec@1 58.500 (55.063)	Prec@5 80.000 (83.780)
Epoch: [73][1710/9018]	Time 0.624 (0.626)	Data 0.001 (0.004)	Loss 1.3956 (1.6809)	Prec@1 62.500 (55.063)	Prec@5 87.500 (83.777)
Epoch: [73][1720/9018]	Time 0.633 (0.626)	Data 0.001 (0.004)	Loss 1.6024 (1.6810)	Prec@1 54.500 (55.059)	Prec@5 84.000 (83.775)
Epoch: [73][1730/9018]	Time 0.636 (0.626)	Data 0.001 (0.004)	Loss 1.6092 (1.6807)	Prec@1 55.000 (55.067)	Prec@5 83.000 (83.778)
Epoch: [73][1740/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.6325 (1.6807)	Prec@1 55.500 (55.064)	Prec@5 81.000 (83.775)
Epoch: [73][1750/9018]	Time 0.606 (0.626)	Data 0.001 (0.004)	Loss 1.7394 (1.6808)	Prec@1 56.500 (55.069)	Prec@5 80.000 (83.774)
Epoch: [73][1760/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 1.7248 (1.6804)	Prec@1 52.500 (55.081)	Prec@5 83.000 (83.779)
Epoch: [73][1770/9018]	Time 0.647 (0.626)	Data 0.001 (0.004)	Loss 1.8673 (1.6801)	Prec@1 49.500 (55.090)	Prec@5 81.000 (83.783)
Epoch: [73][1780/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 1.6688 (1.6800)	Prec@1 54.000 (55.087)	Prec@5 84.000 (83.785)
Epoch: [73][1790/9018]	Time 0.634 (0.626)	Data 0.001 (0.004)	Loss 1.8228 (1.6802)	Prec@1 54.000 (55.083)	Prec@5 80.000 (83.784)
Epoch: [73][1800/9018]	Time 0.607 (0.626)	Data 0.017 (0.004)	Loss 1.7614 (1.6802)	Prec@1 53.000 (55.085)	Prec@5 84.500 (83.790)
Epoch: [73][1810/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.5569 (1.6799)	Prec@1 59.000 (55.095)	Prec@5 85.500 (83.795)
Epoch: [73][1820/9018]	Time 0.632 (0.626)	Data 0.015 (0.004)	Loss 1.7332 (1.6797)	Prec@1 54.500 (55.104)	Prec@5 81.500 (83.798)
Epoch: [73][1830/9018]	Time 0.615 (0.626)	Data 0.016 (0.004)	Loss 1.6170 (1.6801)	Prec@1 57.000 (55.102)	Prec@5 85.000 (83.785)
Epoch: [73][1840/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.6215 (1.6803)	Prec@1 55.500 (55.092)	Prec@5 82.500 (83.782)
Epoch: [73][1850/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.4462 (1.6802)	Prec@1 61.500 (55.097)	Prec@5 87.500 (83.784)
Epoch: [73][1860/9018]	Time 0.634 (0.626)	Data 0.016 (0.004)	Loss 1.9534 (1.6805)	Prec@1 47.500 (55.087)	Prec@5 79.500 (83.777)
Epoch: [73][1870/9018]	Time 0.594 (0.626)	Data 0.001 (0.004)	Loss 1.7681 (1.6801)	Prec@1 52.000 (55.092)	Prec@5 80.500 (83.785)
Epoch: [73][1880/9018]	Time 0.624 (0.626)	Data 0.001 (0.004)	Loss 1.6540 (1.6807)	Prec@1 56.500 (55.080)	Prec@5 86.000 (83.778)
Epoch: [73][1890/9018]	Time 0.737 (0.626)	Data 0.001 (0.004)	Loss 1.8268 (1.6807)	Prec@1 54.000 (55.077)	Prec@5 82.000 (83.776)
Epoch: [73][1900/9018]	Time 0.591 (0.626)	Data 0.001 (0.004)	Loss 1.5605 (1.6807)	Prec@1 64.000 (55.079)	Prec@5 84.500 (83.776)
Epoch: [73][1910/9018]	Time 0.634 (0.626)	Data 0.013 (0.004)	Loss 1.7951 (1.6811)	Prec@1 52.500 (55.064)	Prec@5 85.000 (83.773)
Epoch: [73][1920/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.3638 (1.6808)	Prec@1 61.500 (55.069)	Prec@5 90.000 (83.779)
Epoch: [73][1930/9018]	Time 0.653 (0.626)	Data 0.001 (0.004)	Loss 1.7408 (1.6806)	Prec@1 50.000 (55.071)	Prec@5 83.500 (83.787)
Epoch: [73][1940/9018]	Time 0.761 (0.626)	Data 0.001 (0.004)	Loss 1.7198 (1.6806)	Prec@1 53.500 (55.068)	Prec@5 87.000 (83.783)
Epoch: [73][1950/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.9009 (1.6810)	Prec@1 51.500 (55.060)	Prec@5 79.500 (83.776)
Epoch: [73][1960/9018]	Time 0.632 (0.626)	Data 0.001 (0.004)	Loss 1.6663 (1.6806)	Prec@1 52.500 (55.068)	Prec@5 83.000 (83.784)
Epoch: [73][1970/9018]	Time 0.596 (0.626)	Data 0.001 (0.004)	Loss 1.5730 (1.6806)	Prec@1 60.000 (55.067)	Prec@5 85.000 (83.783)
Epoch: [73][1980/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.7072 (1.6804)	Prec@1 57.000 (55.072)	Prec@5 82.500 (83.784)
Epoch: [73][1990/9018]	Time 0.616 (0.626)	Data 0.001 (0.004)	Loss 1.6564 (1.6802)	Prec@1 54.500 (55.077)	Prec@5 83.000 (83.784)
Epoch: [73][2000/9018]	Time 0.603 (0.626)	Data 0.014 (0.004)	Loss 1.6642 (1.6801)	Prec@1 57.500 (55.075)	Prec@5 84.000 (83.790)
Epoch: [73][2010/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.6350 (1.6796)	Prec@1 58.000 (55.092)	Prec@5 81.500 (83.796)
Epoch: [73][2020/9018]	Time 0.625 (0.626)	Data 0.001 (0.004)	Loss 1.6759 (1.6794)	Prec@1 53.500 (55.095)	Prec@5 84.000 (83.794)
Epoch: [73][2030/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.4703 (1.6795)	Prec@1 57.000 (55.096)	Prec@5 86.500 (83.792)
Epoch: [73][2040/9018]	Time 0.643 (0.626)	Data 0.001 (0.004)	Loss 1.5627 (1.6795)	Prec@1 56.000 (55.092)	Prec@5 86.500 (83.791)
Epoch: [73][2050/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.6100 (1.6795)	Prec@1 58.000 (55.097)	Prec@5 85.500 (83.793)
Epoch: [73][2060/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.6438 (1.6795)	Prec@1 56.500 (55.099)	Prec@5 84.500 (83.795)
Epoch: [73][2070/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 1.7552 (1.6794)	Prec@1 57.000 (55.105)	Prec@5 83.000 (83.797)
Epoch: [73][2080/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.8819 (1.6792)	Prec@1 50.000 (55.102)	Prec@5 80.000 (83.801)
Epoch: [73][2090/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 1.8058 (1.6793)	Prec@1 51.000 (55.100)	Prec@5 80.000 (83.803)
Epoch: [73][2100/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.7966 (1.6795)	Prec@1 53.000 (55.098)	Prec@5 82.000 (83.799)
Epoch: [73][2110/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.6915 (1.6792)	Prec@1 57.000 (55.106)	Prec@5 83.000 (83.804)
Epoch: [73][2120/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.4277 (1.6788)	Prec@1 57.500 (55.117)	Prec@5 88.000 (83.807)
Epoch: [73][2130/9018]	Time 0.631 (0.626)	Data 0.005 (0.004)	Loss 1.6866 (1.6787)	Prec@1 49.000 (55.110)	Prec@5 83.500 (83.808)
Epoch: [73][2140/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.5663 (1.6787)	Prec@1 55.500 (55.107)	Prec@5 86.500 (83.809)
Epoch: [73][2150/9018]	Time 0.634 (0.626)	Data 0.001 (0.004)	Loss 1.6051 (1.6787)	Prec@1 57.500 (55.105)	Prec@5 86.500 (83.813)
Epoch: [73][2160/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.5425 (1.6786)	Prec@1 60.500 (55.115)	Prec@5 84.000 (83.809)
Epoch: [73][2170/9018]	Time 0.602 (0.626)	Data 0.001 (0.004)	Loss 1.7319 (1.6785)	Prec@1 55.500 (55.116)	Prec@5 82.000 (83.807)
Epoch: [73][2180/9018]	Time 0.620 (0.626)	Data 0.007 (0.004)	Loss 1.5846 (1.6782)	Prec@1 57.000 (55.121)	Prec@5 83.500 (83.806)
Epoch: [73][2190/9018]	Time 0.641 (0.626)	Data 0.001 (0.004)	Loss 1.7510 (1.6781)	Prec@1 53.500 (55.126)	Prec@5 83.000 (83.810)
Epoch: [73][2200/9018]	Time 0.608 (0.626)	Data 0.004 (0.004)	Loss 1.6544 (1.6784)	Prec@1 58.500 (55.121)	Prec@5 84.000 (83.806)
Epoch: [73][2210/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.5928 (1.6784)	Prec@1 56.500 (55.121)	Prec@5 88.000 (83.806)
Epoch: [73][2220/9018]	Time 0.760 (0.626)	Data 0.001 (0.004)	Loss 1.8028 (1.6785)	Prec@1 49.000 (55.117)	Prec@5 80.500 (83.804)
Epoch: [73][2230/9018]	Time 0.619 (0.626)	Data 0.001 (0.004)	Loss 1.8600 (1.6786)	Prec@1 51.500 (55.114)	Prec@5 77.500 (83.800)
Epoch: [73][2240/9018]	Time 0.630 (0.626)	Data 0.001 (0.004)	Loss 1.5202 (1.6787)	Prec@1 59.000 (55.114)	Prec@5 88.000 (83.800)
Epoch: [73][2250/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.5250 (1.6783)	Prec@1 56.000 (55.124)	Prec@5 87.000 (83.809)
Epoch: [73][2260/9018]	Time 0.606 (0.626)	Data 0.001 (0.004)	Loss 1.5379 (1.6783)	Prec@1 61.000 (55.123)	Prec@5 87.000 (83.811)
Epoch: [73][2270/9018]	Time 0.714 (0.626)	Data 0.001 (0.004)	Loss 1.6162 (1.6781)	Prec@1 56.000 (55.128)	Prec@5 88.500 (83.818)
Epoch: [73][2280/9018]	Time 0.636 (0.626)	Data 0.011 (0.004)	Loss 1.7753 (1.6781)	Prec@1 49.500 (55.117)	Prec@5 84.500 (83.822)
Epoch: [73][2290/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.3864 (1.6781)	Prec@1 61.500 (55.120)	Prec@5 87.500 (83.820)
Epoch: [73][2300/9018]	Time 0.624 (0.626)	Data 0.001 (0.004)	Loss 1.6043 (1.6777)	Prec@1 55.500 (55.131)	Prec@5 83.000 (83.827)
Epoch: [73][2310/9018]	Time 0.631 (0.626)	Data 0.001 (0.004)	Loss 1.6880 (1.6777)	Prec@1 53.000 (55.130)	Prec@5 83.000 (83.828)
Epoch: [73][2320/9018]	Time 0.603 (0.626)	Data 0.006 (0.004)	Loss 1.7562 (1.6779)	Prec@1 49.000 (55.127)	Prec@5 84.000 (83.827)
Epoch: [73][2330/9018]	Time 0.617 (0.626)	Data 0.017 (0.004)	Loss 1.6796 (1.6779)	Prec@1 53.000 (55.132)	Prec@5 85.000 (83.825)
Epoch: [73][2340/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 1.5757 (1.6782)	Prec@1 58.500 (55.129)	Prec@5 87.000 (83.822)
Epoch: [73][2350/9018]	Time 0.593 (0.626)	Data 0.001 (0.004)	Loss 1.7212 (1.6782)	Prec@1 55.500 (55.132)	Prec@5 85.500 (83.820)
Epoch: [73][2360/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.5367 (1.6782)	Prec@1 56.000 (55.128)	Prec@5 86.500 (83.819)
Epoch: [73][2370/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.6221 (1.6783)	Prec@1 60.500 (55.128)	Prec@5 84.500 (83.817)
Epoch: [73][2380/9018]	Time 0.628 (0.626)	Data 0.017 (0.004)	Loss 1.5943 (1.6780)	Prec@1 59.500 (55.133)	Prec@5 83.000 (83.822)
Epoch: [73][2390/9018]	Time 0.629 (0.626)	Data 0.001 (0.004)	Loss 1.7874 (1.6781)	Prec@1 52.000 (55.130)	Prec@5 83.000 (83.821)
Epoch: [73][2400/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.7461 (1.6784)	Prec@1 52.500 (55.119)	Prec@5 84.000 (83.818)
Epoch: [73][2410/9018]	Time 0.624 (0.626)	Data 0.001 (0.004)	Loss 1.6918 (1.6786)	Prec@1 56.000 (55.116)	Prec@5 82.000 (83.812)
Epoch: [73][2420/9018]	Time 0.637 (0.626)	Data 0.002 (0.004)	Loss 1.7050 (1.6783)	Prec@1 50.500 (55.121)	Prec@5 82.000 (83.818)
Epoch: [73][2430/9018]	Time 0.600 (0.626)	Data 0.006 (0.004)	Loss 1.6346 (1.6783)	Prec@1 54.500 (55.114)	Prec@5 85.500 (83.823)
Epoch: [73][2440/9018]	Time 0.608 (0.626)	Data 0.008 (0.004)	Loss 1.8438 (1.6781)	Prec@1 53.500 (55.116)	Prec@5 82.500 (83.825)
Epoch: [73][2450/9018]	Time 0.628 (0.626)	Data 0.001 (0.004)	Loss 1.7388 (1.6785)	Prec@1 56.500 (55.108)	Prec@5 84.000 (83.820)
Epoch: [73][2460/9018]	Time 0.673 (0.626)	Data 0.001 (0.004)	Loss 1.6800 (1.6786)	Prec@1 55.000 (55.106)	Prec@5 84.500 (83.820)
Epoch: [73][2470/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.5673 (1.6784)	Prec@1 55.000 (55.103)	Prec@5 87.500 (83.826)
Epoch: [73][2480/9018]	Time 0.611 (0.626)	Data 0.017 (0.004)	Loss 1.7900 (1.6785)	Prec@1 55.000 (55.103)	Prec@5 82.000 (83.823)
Epoch: [73][2490/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.6786 (1.6782)	Prec@1 58.500 (55.113)	Prec@5 80.500 (83.824)
Epoch: [73][2500/9018]	Time 0.635 (0.626)	Data 0.001 (0.004)	Loss 1.7498 (1.6783)	Prec@1 54.500 (55.112)	Prec@5 85.000 (83.822)
Epoch: [73][2510/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.7212 (1.6787)	Prec@1 56.000 (55.104)	Prec@5 82.500 (83.816)
Epoch: [73][2520/9018]	Time 0.665 (0.626)	Data 0.001 (0.004)	Loss 1.8434 (1.6788)	Prec@1 52.000 (55.102)	Prec@5 81.500 (83.814)
Epoch: [73][2530/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.7283 (1.6789)	Prec@1 51.000 (55.098)	Prec@5 84.000 (83.815)
Epoch: [73][2540/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.5843 (1.6789)	Prec@1 57.000 (55.101)	Prec@5 84.500 (83.816)
Epoch: [73][2550/9018]	Time 0.753 (0.626)	Data 0.001 (0.004)	Loss 1.6691 (1.6787)	Prec@1 53.000 (55.111)	Prec@5 83.500 (83.822)
Epoch: [73][2560/9018]	Time 0.596 (0.626)	Data 0.001 (0.004)	Loss 1.5877 (1.6788)	Prec@1 57.500 (55.106)	Prec@5 87.000 (83.821)
Epoch: [73][2570/9018]	Time 0.630 (0.626)	Data 0.021 (0.004)	Loss 1.6154 (1.6788)	Prec@1 57.000 (55.112)	Prec@5 84.000 (83.822)
Epoch: [73][2580/9018]	Time 0.623 (0.626)	Data 0.005 (0.004)	Loss 1.6895 (1.6786)	Prec@1 59.000 (55.118)	Prec@5 86.000 (83.825)
Epoch: [73][2590/9018]	Time 0.646 (0.626)	Data 0.001 (0.004)	Loss 1.4794 (1.6786)	Prec@1 57.500 (55.119)	Prec@5 87.500 (83.826)
Epoch: [73][2600/9018]	Time 0.758 (0.626)	Data 0.014 (0.004)	Loss 1.7716 (1.6786)	Prec@1 49.000 (55.113)	Prec@5 82.500 (83.828)
Epoch: [73][2610/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 1.6798 (1.6784)	Prec@1 56.500 (55.114)	Prec@5 81.000 (83.832)
Epoch: [73][2620/9018]	Time 0.626 (0.626)	Data 0.001 (0.004)	Loss 1.5400 (1.6781)	Prec@1 56.000 (55.121)	Prec@5 87.000 (83.840)
Epoch: [73][2630/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.6709 (1.6781)	Prec@1 56.500 (55.124)	Prec@5 84.500 (83.840)
Epoch: [73][2640/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.7413 (1.6781)	Prec@1 57.000 (55.122)	Prec@5 82.000 (83.840)
Epoch: [73][2650/9018]	Time 0.645 (0.626)	Data 0.001 (0.004)	Loss 1.8836 (1.6781)	Prec@1 49.000 (55.120)	Prec@5 81.000 (83.843)
Epoch: [73][2660/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.5127 (1.6780)	Prec@1 61.000 (55.120)	Prec@5 88.500 (83.844)
Epoch: [73][2670/9018]	Time 0.632 (0.626)	Data 0.014 (0.004)	Loss 1.6866 (1.6781)	Prec@1 57.500 (55.119)	Prec@5 85.000 (83.845)
Epoch: [73][2680/9018]	Time 0.627 (0.626)	Data 0.001 (0.004)	Loss 1.6623 (1.6781)	Prec@1 53.000 (55.116)	Prec@5 86.000 (83.847)
Epoch: [73][2690/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.5427 (1.6780)	Prec@1 56.000 (55.116)	Prec@5 88.500 (83.852)
Epoch: [73][2700/9018]	Time 0.647 (0.626)	Data 0.001 (0.004)	Loss 1.8533 (1.6781)	Prec@1 51.500 (55.113)	Prec@5 80.500 (83.852)
Epoch: [73][2710/9018]	Time 0.646 (0.626)	Data 0.001 (0.004)	Loss 1.8528 (1.6781)	Prec@1 55.500 (55.121)	Prec@5 77.000 (83.853)
Epoch: [73][2720/9018]	Time 0.624 (0.626)	Data 0.001 (0.004)	Loss 1.6761 (1.6780)	Prec@1 52.000 (55.116)	Prec@5 85.500 (83.857)
Epoch: [73][2730/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.7056 (1.6781)	Prec@1 56.500 (55.115)	Prec@5 82.000 (83.854)
Epoch: [73][2740/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 1.6637 (1.6780)	Prec@1 52.500 (55.112)	Prec@5 86.000 (83.859)
Epoch: [73][2750/9018]	Time 0.646 (0.626)	Data 0.014 (0.004)	Loss 1.5484 (1.6779)	Prec@1 58.500 (55.114)	Prec@5 84.000 (83.853)
Epoch: [73][2760/9018]	Time 0.609 (0.626)	Data 0.015 (0.004)	Loss 1.8417 (1.6779)	Prec@1 49.000 (55.113)	Prec@5 86.000 (83.854)
Epoch: [73][2770/9018]	Time 0.654 (0.626)	Data 0.001 (0.004)	Loss 1.6423 (1.6778)	Prec@1 56.000 (55.111)	Prec@5 83.000 (83.855)
Epoch: [73][2780/9018]	Time 0.595 (0.626)	Data 0.001 (0.004)	Loss 1.6775 (1.6779)	Prec@1 60.000 (55.109)	Prec@5 87.500 (83.855)
Epoch: [73][2790/9018]	Time 0.596 (0.626)	Data 0.001 (0.004)	Loss 1.5770 (1.6779)	Prec@1 58.000 (55.109)	Prec@5 86.000 (83.858)
Epoch: [73][2800/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 1.7828 (1.6778)	Prec@1 48.000 (55.109)	Prec@5 83.500 (83.860)
Epoch: [73][2810/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.7678 (1.6777)	Prec@1 54.500 (55.112)	Prec@5 81.500 (83.863)
Epoch: [73][2820/9018]	Time 0.632 (0.626)	Data 0.001 (0.004)	Loss 1.6646 (1.6777)	Prec@1 55.000 (55.111)	Prec@5 84.500 (83.865)
Epoch: [73][2830/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.5977 (1.6777)	Prec@1 53.000 (55.111)	Prec@5 85.500 (83.862)
Epoch: [73][2840/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.7494 (1.6776)	Prec@1 54.000 (55.115)	Prec@5 77.500 (83.860)
Epoch: [73][2850/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.7740 (1.6776)	Prec@1 54.000 (55.113)	Prec@5 82.500 (83.861)
Epoch: [73][2860/9018]	Time 0.616 (0.625)	Data 0.009 (0.004)	Loss 1.6139 (1.6776)	Prec@1 59.500 (55.116)	Prec@5 84.000 (83.860)
Epoch: [73][2870/9018]	Time 0.628 (0.625)	Data 0.012 (0.004)	Loss 1.5713 (1.6775)	Prec@1 57.000 (55.117)	Prec@5 84.500 (83.861)
Epoch: [73][2880/9018]	Time 0.725 (0.625)	Data 0.001 (0.004)	Loss 1.7719 (1.6776)	Prec@1 55.000 (55.113)	Prec@5 82.500 (83.858)
Epoch: [73][2890/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.6879 (1.6777)	Prec@1 52.500 (55.108)	Prec@5 84.000 (83.856)
Epoch: [73][2900/9018]	Time 0.641 (0.625)	Data 0.001 (0.004)	Loss 1.5758 (1.6775)	Prec@1 58.500 (55.110)	Prec@5 84.000 (83.858)
Epoch: [73][2910/9018]	Time 0.607 (0.625)	Data 0.014 (0.004)	Loss 1.5757 (1.6775)	Prec@1 57.500 (55.112)	Prec@5 86.000 (83.859)
Epoch: [73][2920/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.5019 (1.6775)	Prec@1 60.500 (55.111)	Prec@5 89.000 (83.862)
Epoch: [73][2930/9018]	Time 0.739 (0.625)	Data 0.001 (0.004)	Loss 1.5319 (1.6774)	Prec@1 54.000 (55.108)	Prec@5 85.000 (83.861)
Epoch: [73][2940/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.6967 (1.6774)	Prec@1 55.000 (55.115)	Prec@5 82.500 (83.862)
Epoch: [73][2950/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.6715 (1.6774)	Prec@1 55.000 (55.112)	Prec@5 82.500 (83.864)
Epoch: [73][2960/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.6198 (1.6773)	Prec@1 60.000 (55.116)	Prec@5 83.000 (83.868)
Epoch: [73][2970/9018]	Time 0.640 (0.625)	Data 0.001 (0.004)	Loss 1.7909 (1.6773)	Prec@1 51.500 (55.116)	Prec@5 82.000 (83.866)
Epoch: [73][2980/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7484 (1.6774)	Prec@1 52.000 (55.111)	Prec@5 80.500 (83.864)
Epoch: [73][2990/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.6462 (1.6774)	Prec@1 60.000 (55.117)	Prec@5 82.500 (83.863)
Epoch: [73][3000/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.5461 (1.6775)	Prec@1 59.000 (55.115)	Prec@5 83.500 (83.864)
Epoch: [73][3010/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.6508 (1.6775)	Prec@1 58.000 (55.116)	Prec@5 85.500 (83.864)
Epoch: [73][3020/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.8361 (1.6775)	Prec@1 47.500 (55.114)	Prec@5 81.500 (83.866)
Epoch: [73][3030/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.5898 (1.6776)	Prec@1 56.500 (55.110)	Prec@5 85.000 (83.867)
Epoch: [73][3040/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.6402 (1.6774)	Prec@1 60.000 (55.114)	Prec@5 81.000 (83.870)
Epoch: [73][3050/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.7638 (1.6776)	Prec@1 52.000 (55.111)	Prec@5 81.000 (83.870)
Epoch: [73][3060/9018]	Time 0.666 (0.625)	Data 0.007 (0.004)	Loss 1.6597 (1.6776)	Prec@1 58.000 (55.114)	Prec@5 82.000 (83.870)
Epoch: [73][3070/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.5629 (1.6777)	Prec@1 56.500 (55.112)	Prec@5 87.000 (83.873)
Epoch: [73][3080/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.5790 (1.6776)	Prec@1 57.000 (55.110)	Prec@5 85.500 (83.875)
Epoch: [73][3090/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.8469 (1.6777)	Prec@1 53.000 (55.106)	Prec@5 82.000 (83.872)
Epoch: [73][3100/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.6887 (1.6778)	Prec@1 53.500 (55.103)	Prec@5 82.500 (83.871)
Epoch: [73][3110/9018]	Time 0.609 (0.625)	Data 0.014 (0.004)	Loss 1.6671 (1.6779)	Prec@1 53.000 (55.098)	Prec@5 84.000 (83.868)
Epoch: [73][3120/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.9027 (1.6779)	Prec@1 48.500 (55.096)	Prec@5 78.000 (83.868)
Epoch: [73][3130/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.6933 (1.6780)	Prec@1 53.000 (55.088)	Prec@5 82.500 (83.867)
Epoch: [73][3140/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.7238 (1.6781)	Prec@1 58.000 (55.084)	Prec@5 80.500 (83.860)
Epoch: [73][3150/9018]	Time 0.613 (0.625)	Data 0.017 (0.004)	Loss 1.8177 (1.6783)	Prec@1 50.500 (55.078)	Prec@5 82.000 (83.861)
Epoch: [73][3160/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.7402 (1.6782)	Prec@1 52.000 (55.079)	Prec@5 83.000 (83.865)
Epoch: [73][3170/9018]	Time 0.638 (0.625)	Data 0.001 (0.004)	Loss 1.7557 (1.6783)	Prec@1 56.500 (55.079)	Prec@5 81.000 (83.863)
Epoch: [73][3180/9018]	Time 0.592 (0.625)	Data 0.007 (0.004)	Loss 1.5678 (1.6784)	Prec@1 58.000 (55.075)	Prec@5 84.500 (83.859)
Epoch: [73][3190/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.4040 (1.6785)	Prec@1 58.500 (55.072)	Prec@5 88.500 (83.861)
Epoch: [73][3200/9018]	Time 0.613 (0.625)	Data 0.016 (0.004)	Loss 1.7062 (1.6785)	Prec@1 55.500 (55.070)	Prec@5 85.000 (83.862)
Epoch: [73][3210/9018]	Time 0.774 (0.625)	Data 0.001 (0.004)	Loss 1.7465 (1.6786)	Prec@1 49.500 (55.067)	Prec@5 82.500 (83.857)
Epoch: [73][3220/9018]	Time 0.614 (0.625)	Data 0.003 (0.004)	Loss 1.7831 (1.6785)	Prec@1 55.500 (55.068)	Prec@5 79.000 (83.857)
Epoch: [73][3230/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.8142 (1.6786)	Prec@1 52.500 (55.062)	Prec@5 80.500 (83.857)
Epoch: [73][3240/9018]	Time 0.618 (0.625)	Data 0.002 (0.004)	Loss 1.3293 (1.6784)	Prec@1 60.500 (55.063)	Prec@5 89.500 (83.861)
Epoch: [73][3250/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.6825 (1.6785)	Prec@1 56.000 (55.060)	Prec@5 81.500 (83.863)
Epoch: [73][3260/9018]	Time 0.714 (0.625)	Data 0.001 (0.004)	Loss 1.7998 (1.6786)	Prec@1 54.000 (55.060)	Prec@5 81.500 (83.860)
Epoch: [73][3270/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.6357 (1.6786)	Prec@1 54.000 (55.059)	Prec@5 87.500 (83.858)
Epoch: [73][3280/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6322 (1.6785)	Prec@1 56.000 (55.064)	Prec@5 81.500 (83.858)
Epoch: [73][3290/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.6773 (1.6786)	Prec@1 55.000 (55.063)	Prec@5 81.000 (83.857)
Epoch: [73][3300/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.7224 (1.6787)	Prec@1 54.500 (55.057)	Prec@5 83.500 (83.857)
Epoch: [73][3310/9018]	Time 0.624 (0.625)	Data 0.003 (0.004)	Loss 1.6839 (1.6788)	Prec@1 55.500 (55.058)	Prec@5 86.000 (83.855)
Epoch: [73][3320/9018]	Time 0.623 (0.625)	Data 0.016 (0.004)	Loss 1.5211 (1.6787)	Prec@1 58.000 (55.058)	Prec@5 84.000 (83.854)
Epoch: [73][3330/9018]	Time 0.664 (0.625)	Data 0.001 (0.004)	Loss 1.6140 (1.6788)	Prec@1 52.500 (55.055)	Prec@5 86.500 (83.855)
Epoch: [73][3340/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.6404 (1.6787)	Prec@1 55.500 (55.060)	Prec@5 87.000 (83.860)
Epoch: [73][3350/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.7243 (1.6788)	Prec@1 55.000 (55.063)	Prec@5 82.500 (83.859)
Epoch: [73][3360/9018]	Time 0.616 (0.625)	Data 0.012 (0.004)	Loss 1.7719 (1.6789)	Prec@1 51.500 (55.059)	Prec@5 82.500 (83.854)
Epoch: [73][3370/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.7621 (1.6789)	Prec@1 53.500 (55.058)	Prec@5 83.000 (83.857)
Epoch: [73][3380/9018]	Time 0.634 (0.625)	Data 0.014 (0.004)	Loss 1.7495 (1.6789)	Prec@1 53.000 (55.059)	Prec@5 82.500 (83.857)
Epoch: [73][3390/9018]	Time 0.637 (0.625)	Data 0.001 (0.004)	Loss 1.7965 (1.6788)	Prec@1 52.500 (55.061)	Prec@5 83.000 (83.858)
Epoch: [73][3400/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6425 (1.6790)	Prec@1 54.000 (55.054)	Prec@5 85.000 (83.857)
Epoch: [73][3410/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6855 (1.6789)	Prec@1 50.000 (55.049)	Prec@5 87.500 (83.860)
Epoch: [73][3420/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.6688 (1.6790)	Prec@1 52.000 (55.049)	Prec@5 85.500 (83.857)
Epoch: [73][3430/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.6358 (1.6791)	Prec@1 50.000 (55.041)	Prec@5 86.500 (83.860)
Epoch: [73][3440/9018]	Time 0.619 (0.625)	Data 0.015 (0.004)	Loss 1.8122 (1.6794)	Prec@1 55.000 (55.035)	Prec@5 81.500 (83.854)
Epoch: [73][3450/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.8258 (1.6793)	Prec@1 56.000 (55.038)	Prec@5 80.000 (83.856)
Epoch: [73][3460/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7592 (1.6794)	Prec@1 49.500 (55.033)	Prec@5 84.000 (83.854)
Epoch: [73][3470/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.6466 (1.6795)	Prec@1 55.500 (55.031)	Prec@5 82.000 (83.852)
Epoch: [73][3480/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.6242 (1.6794)	Prec@1 56.000 (55.035)	Prec@5 85.000 (83.855)
Epoch: [73][3490/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.4750 (1.6795)	Prec@1 61.500 (55.030)	Prec@5 88.000 (83.854)
Epoch: [73][3500/9018]	Time 0.597 (0.625)	Data 0.013 (0.004)	Loss 1.6658 (1.6795)	Prec@1 57.500 (55.027)	Prec@5 85.000 (83.856)
Epoch: [73][3510/9018]	Time 0.597 (0.625)	Data 0.008 (0.004)	Loss 1.4770 (1.6796)	Prec@1 56.000 (55.020)	Prec@5 86.500 (83.853)
Epoch: [73][3520/9018]	Time 0.630 (0.625)	Data 0.002 (0.004)	Loss 1.7245 (1.6795)	Prec@1 54.000 (55.025)	Prec@5 85.500 (83.855)
Epoch: [73][3530/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.5181 (1.6794)	Prec@1 66.000 (55.031)	Prec@5 83.500 (83.854)
Epoch: [73][3540/9018]	Time 0.745 (0.625)	Data 0.014 (0.004)	Loss 1.8628 (1.6795)	Prec@1 53.000 (55.033)	Prec@5 82.000 (83.852)
Epoch: [73][3550/9018]	Time 0.617 (0.625)	Data 0.002 (0.004)	Loss 1.6845 (1.6795)	Prec@1 56.000 (55.034)	Prec@5 85.500 (83.854)
Epoch: [73][3560/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.7100 (1.6792)	Prec@1 55.000 (55.039)	Prec@5 83.000 (83.860)
Epoch: [73][3570/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.6711 (1.6792)	Prec@1 58.000 (55.042)	Prec@5 84.500 (83.860)
Epoch: [73][3580/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.6736 (1.6792)	Prec@1 55.500 (55.041)	Prec@5 82.500 (83.861)
Epoch: [73][3590/9018]	Time 0.795 (0.625)	Data 0.001 (0.004)	Loss 1.5076 (1.6792)	Prec@1 62.500 (55.043)	Prec@5 85.500 (83.861)
Epoch: [73][3600/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.5984 (1.6794)	Prec@1 54.500 (55.040)	Prec@5 85.000 (83.858)
Epoch: [73][3610/9018]	Time 0.637 (0.625)	Data 0.001 (0.004)	Loss 1.7591 (1.6796)	Prec@1 54.500 (55.035)	Prec@5 79.500 (83.856)
Epoch: [73][3620/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.8152 (1.6797)	Prec@1 52.500 (55.033)	Prec@5 84.500 (83.855)
Epoch: [73][3630/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.6130 (1.6798)	Prec@1 54.500 (55.031)	Prec@5 84.000 (83.853)
Epoch: [73][3640/9018]	Time 0.647 (0.625)	Data 0.016 (0.004)	Loss 1.5436 (1.6797)	Prec@1 57.000 (55.029)	Prec@5 84.500 (83.855)
Epoch: [73][3650/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.7876 (1.6797)	Prec@1 50.500 (55.027)	Prec@5 82.500 (83.856)
Epoch: [73][3660/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6159 (1.6797)	Prec@1 55.000 (55.031)	Prec@5 85.500 (83.856)
Epoch: [73][3670/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.5771 (1.6796)	Prec@1 60.000 (55.035)	Prec@5 89.000 (83.860)
Epoch: [73][3680/9018]	Time 0.621 (0.625)	Data 0.015 (0.004)	Loss 1.5770 (1.6795)	Prec@1 55.000 (55.037)	Prec@5 86.500 (83.861)
Epoch: [73][3690/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.8294 (1.6796)	Prec@1 55.500 (55.034)	Prec@5 83.500 (83.860)
Epoch: [73][3700/9018]	Time 0.612 (0.625)	Data 0.013 (0.004)	Loss 1.7120 (1.6796)	Prec@1 52.500 (55.032)	Prec@5 83.000 (83.857)
Epoch: [73][3710/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.7938 (1.6797)	Prec@1 54.500 (55.032)	Prec@5 83.000 (83.857)
Epoch: [73][3720/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.8995 (1.6798)	Prec@1 48.000 (55.030)	Prec@5 80.500 (83.855)
Epoch: [73][3730/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.7224 (1.6798)	Prec@1 52.500 (55.032)	Prec@5 83.500 (83.859)
Epoch: [73][3740/9018]	Time 0.640 (0.625)	Data 0.016 (0.004)	Loss 1.6262 (1.6797)	Prec@1 55.000 (55.032)	Prec@5 82.000 (83.858)
Epoch: [73][3750/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.7392 (1.6799)	Prec@1 55.000 (55.031)	Prec@5 83.500 (83.854)
Epoch: [73][3760/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.6410 (1.6800)	Prec@1 59.500 (55.027)	Prec@5 82.000 (83.851)
Epoch: [73][3770/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6484 (1.6799)	Prec@1 52.000 (55.025)	Prec@5 85.000 (83.854)
Epoch: [73][3780/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.7262 (1.6800)	Prec@1 55.000 (55.024)	Prec@5 81.500 (83.853)
Epoch: [73][3790/9018]	Time 0.618 (0.625)	Data 0.007 (0.004)	Loss 1.5086 (1.6800)	Prec@1 63.000 (55.029)	Prec@5 84.000 (83.850)
Epoch: [73][3800/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.6813 (1.6801)	Prec@1 54.000 (55.027)	Prec@5 83.500 (83.850)
Epoch: [73][3810/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.4601 (1.6801)	Prec@1 59.000 (55.027)	Prec@5 88.000 (83.850)
Epoch: [73][3820/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 1.5760 (1.6801)	Prec@1 55.500 (55.027)	Prec@5 84.500 (83.850)
Epoch: [73][3830/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.7711 (1.6801)	Prec@1 54.500 (55.027)	Prec@5 83.500 (83.853)
Epoch: [73][3840/9018]	Time 0.616 (0.625)	Data 0.002 (0.004)	Loss 1.6946 (1.6801)	Prec@1 52.500 (55.024)	Prec@5 85.500 (83.852)
Epoch: [73][3850/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.4734 (1.6800)	Prec@1 59.500 (55.028)	Prec@5 91.500 (83.854)
Epoch: [73][3860/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.7469 (1.6800)	Prec@1 52.500 (55.029)	Prec@5 82.500 (83.852)
Epoch: [73][3870/9018]	Time 0.739 (0.625)	Data 0.001 (0.004)	Loss 1.7069 (1.6799)	Prec@1 54.500 (55.030)	Prec@5 85.000 (83.853)
Epoch: [73][3880/9018]	Time 0.608 (0.625)	Data 0.004 (0.004)	Loss 1.6850 (1.6801)	Prec@1 55.500 (55.027)	Prec@5 84.000 (83.851)
Epoch: [73][3890/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.9556 (1.6801)	Prec@1 51.500 (55.025)	Prec@5 78.000 (83.852)
Epoch: [73][3900/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.8451 (1.6802)	Prec@1 50.000 (55.026)	Prec@5 80.000 (83.850)
Epoch: [73][3910/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.8110 (1.6803)	Prec@1 54.500 (55.027)	Prec@5 81.000 (83.848)
Epoch: [73][3920/9018]	Time 0.740 (0.625)	Data 0.001 (0.004)	Loss 1.5992 (1.6804)	Prec@1 57.500 (55.027)	Prec@5 81.500 (83.844)
Epoch: [73][3930/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.5880 (1.6805)	Prec@1 57.000 (55.024)	Prec@5 86.000 (83.843)
Epoch: [73][3940/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.7998 (1.6807)	Prec@1 54.000 (55.023)	Prec@5 79.000 (83.839)
Epoch: [73][3950/9018]	Time 0.632 (0.625)	Data 0.015 (0.004)	Loss 1.5947 (1.6807)	Prec@1 52.500 (55.023)	Prec@5 86.000 (83.837)
Epoch: [73][3960/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.6884 (1.6807)	Prec@1 54.500 (55.024)	Prec@5 83.500 (83.837)
Epoch: [73][3970/9018]	Time 0.639 (0.625)	Data 0.010 (0.004)	Loss 1.7218 (1.6807)	Prec@1 54.000 (55.026)	Prec@5 81.000 (83.837)
Epoch: [73][3980/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.8372 (1.6807)	Prec@1 52.000 (55.024)	Prec@5 80.500 (83.838)
Epoch: [73][3990/9018]	Time 0.643 (0.625)	Data 0.001 (0.004)	Loss 1.6683 (1.6807)	Prec@1 51.000 (55.022)	Prec@5 85.500 (83.839)
Epoch: [73][4000/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.7833 (1.6806)	Prec@1 52.500 (55.024)	Prec@5 81.000 (83.842)
Epoch: [73][4010/9018]	Time 0.640 (0.625)	Data 0.001 (0.004)	Loss 1.8446 (1.6806)	Prec@1 52.500 (55.021)	Prec@5 79.500 (83.841)
Epoch: [73][4020/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.7248 (1.6805)	Prec@1 52.500 (55.019)	Prec@5 84.000 (83.844)
Epoch: [73][4030/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.7628 (1.6805)	Prec@1 54.000 (55.019)	Prec@5 80.500 (83.845)
Epoch: [73][4040/9018]	Time 0.609 (0.625)	Data 0.015 (0.004)	Loss 1.6966 (1.6806)	Prec@1 53.000 (55.016)	Prec@5 84.500 (83.843)
Epoch: [73][4050/9018]	Time 0.634 (0.625)	Data 0.003 (0.004)	Loss 1.7636 (1.6806)	Prec@1 55.000 (55.016)	Prec@5 84.000 (83.841)
Epoch: [73][4060/9018]	Time 0.625 (0.625)	Data 0.017 (0.004)	Loss 1.7466 (1.6805)	Prec@1 55.000 (55.016)	Prec@5 82.500 (83.843)
Epoch: [73][4070/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.6276 (1.6804)	Prec@1 56.000 (55.021)	Prec@5 86.500 (83.845)
Epoch: [73][4080/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.7924 (1.6806)	Prec@1 51.500 (55.014)	Prec@5 81.500 (83.840)
Epoch: [73][4090/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.7548 (1.6806)	Prec@1 56.500 (55.018)	Prec@5 83.000 (83.839)
Epoch: [73][4100/9018]	Time 0.618 (0.625)	Data 0.009 (0.004)	Loss 1.7643 (1.6806)	Prec@1 52.500 (55.019)	Prec@5 82.000 (83.839)
Epoch: [73][4110/9018]	Time 0.606 (0.625)	Data 0.016 (0.004)	Loss 1.8300 (1.6809)	Prec@1 54.000 (55.015)	Prec@5 80.500 (83.834)
Epoch: [73][4120/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.8090 (1.6808)	Prec@1 52.000 (55.014)	Prec@5 83.000 (83.836)
Epoch: [73][4130/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.8676 (1.6811)	Prec@1 51.000 (55.007)	Prec@5 77.000 (83.831)
Epoch: [73][4140/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.6637 (1.6810)	Prec@1 51.500 (55.008)	Prec@5 83.500 (83.832)
Epoch: [73][4150/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.7114 (1.6810)	Prec@1 51.500 (55.005)	Prec@5 86.000 (83.833)
Epoch: [73][4160/9018]	Time 0.623 (0.625)	Data 0.015 (0.004)	Loss 1.7427 (1.6811)	Prec@1 53.000 (55.003)	Prec@5 84.000 (83.832)
Epoch: [73][4170/9018]	Time 0.607 (0.625)	Data 0.017 (0.004)	Loss 1.8502 (1.6812)	Prec@1 54.000 (55.002)	Prec@5 79.500 (83.830)
Epoch: [73][4180/9018]	Time 0.611 (0.625)	Data 0.003 (0.004)	Loss 1.5105 (1.6811)	Prec@1 56.000 (55.005)	Prec@5 86.000 (83.834)
Epoch: [73][4190/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.7831 (1.6812)	Prec@1 55.000 (55.003)	Prec@5 81.000 (83.832)
Epoch: [73][4200/9018]	Time 0.795 (0.625)	Data 0.039 (0.004)	Loss 1.6723 (1.6812)	Prec@1 54.500 (55.000)	Prec@5 86.000 (83.831)
Epoch: [73][4210/9018]	Time 0.630 (0.625)	Data 0.018 (0.004)	Loss 1.6045 (1.6814)	Prec@1 54.500 (54.998)	Prec@5 83.500 (83.827)
Epoch: [73][4220/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.7437 (1.6815)	Prec@1 59.500 (54.998)	Prec@5 80.500 (83.824)
Epoch: [73][4230/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.8371 (1.6815)	Prec@1 53.500 (54.996)	Prec@5 81.000 (83.825)
Epoch: [73][4240/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.5101 (1.6814)	Prec@1 58.000 (54.997)	Prec@5 86.500 (83.825)
Epoch: [73][4250/9018]	Time 0.799 (0.625)	Data 0.001 (0.004)	Loss 1.4986 (1.6816)	Prec@1 57.500 (54.991)	Prec@5 90.500 (83.823)
Epoch: [73][4260/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.7894 (1.6816)	Prec@1 55.000 (54.990)	Prec@5 82.000 (83.824)
Epoch: [73][4270/9018]	Time 0.618 (0.625)	Data 0.016 (0.004)	Loss 1.6066 (1.6818)	Prec@1 57.000 (54.983)	Prec@5 82.500 (83.819)
Epoch: [73][4280/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.6109 (1.6817)	Prec@1 55.500 (54.982)	Prec@5 85.500 (83.821)
Epoch: [73][4290/9018]	Time 0.615 (0.625)	Data 0.014 (0.004)	Loss 1.8039 (1.6820)	Prec@1 51.500 (54.979)	Prec@5 82.000 (83.817)
Epoch: [73][4300/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.8809 (1.6821)	Prec@1 51.500 (54.975)	Prec@5 83.000 (83.817)
Epoch: [73][4310/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.6133 (1.6822)	Prec@1 59.000 (54.972)	Prec@5 86.000 (83.816)
Epoch: [73][4320/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.5072 (1.6822)	Prec@1 58.500 (54.970)	Prec@5 86.500 (83.817)
Epoch: [73][4330/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.5761 (1.6822)	Prec@1 58.000 (54.971)	Prec@5 86.000 (83.816)
Epoch: [73][4340/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.5729 (1.6823)	Prec@1 57.000 (54.969)	Prec@5 84.000 (83.817)
Epoch: [73][4350/9018]	Time 0.637 (0.625)	Data 0.015 (0.004)	Loss 1.5336 (1.6824)	Prec@1 57.000 (54.965)	Prec@5 86.500 (83.813)
Epoch: [73][4360/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.5761 (1.6822)	Prec@1 56.500 (54.969)	Prec@5 82.000 (83.815)
Epoch: [73][4370/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.7412 (1.6822)	Prec@1 53.000 (54.966)	Prec@5 83.000 (83.815)
Epoch: [73][4380/9018]	Time 0.602 (0.625)	Data 0.015 (0.004)	Loss 1.6495 (1.6822)	Prec@1 51.500 (54.965)	Prec@5 84.500 (83.815)
Epoch: [73][4390/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.4088 (1.6821)	Prec@1 61.000 (54.969)	Prec@5 88.000 (83.817)
Epoch: [73][4400/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.7487 (1.6822)	Prec@1 51.500 (54.969)	Prec@5 81.500 (83.813)
Epoch: [73][4410/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.6229 (1.6821)	Prec@1 59.000 (54.972)	Prec@5 87.000 (83.813)
Epoch: [73][4420/9018]	Time 0.590 (0.625)	Data 0.001 (0.004)	Loss 1.7295 (1.6821)	Prec@1 51.500 (54.969)	Prec@5 83.500 (83.812)
Epoch: [73][4430/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.5911 (1.6820)	Prec@1 54.500 (54.969)	Prec@5 83.500 (83.813)
Epoch: [73][4440/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.6128 (1.6820)	Prec@1 57.500 (54.972)	Prec@5 84.000 (83.814)
Epoch: [73][4450/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.6772 (1.6818)	Prec@1 54.000 (54.975)	Prec@5 84.500 (83.818)
Epoch: [73][4460/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6575 (1.6819)	Prec@1 61.500 (54.978)	Prec@5 81.500 (83.816)
Epoch: [73][4470/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.7773 (1.6818)	Prec@1 54.500 (54.979)	Prec@5 80.500 (83.818)
Epoch: [73][4480/9018]	Time 0.638 (0.625)	Data 0.013 (0.004)	Loss 1.6780 (1.6819)	Prec@1 56.000 (54.978)	Prec@5 82.500 (83.819)
Epoch: [73][4490/9018]	Time 0.632 (0.625)	Data 0.013 (0.004)	Loss 1.6292 (1.6817)	Prec@1 55.500 (54.983)	Prec@5 85.500 (83.823)
Epoch: [73][4500/9018]	Time 0.642 (0.625)	Data 0.001 (0.004)	Loss 1.4326 (1.6817)	Prec@1 60.500 (54.984)	Prec@5 85.000 (83.824)
Epoch: [73][4510/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.7319 (1.6817)	Prec@1 53.500 (54.983)	Prec@5 80.500 (83.822)
Epoch: [73][4520/9018]	Time 0.618 (0.625)	Data 0.015 (0.004)	Loss 1.5036 (1.6817)	Prec@1 58.500 (54.981)	Prec@5 88.000 (83.825)
Epoch: [73][4530/9018]	Time 0.731 (0.625)	Data 0.001 (0.004)	Loss 1.6785 (1.6816)	Prec@1 59.500 (54.986)	Prec@5 80.000 (83.827)
Epoch: [73][4540/9018]	Time 0.655 (0.625)	Data 0.001 (0.004)	Loss 1.6765 (1.6816)	Prec@1 55.500 (54.986)	Prec@5 86.500 (83.827)
Epoch: [73][4550/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.6472 (1.6817)	Prec@1 53.000 (54.981)	Prec@5 86.500 (83.826)
Epoch: [73][4560/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.7119 (1.6816)	Prec@1 52.000 (54.981)	Prec@5 81.000 (83.824)
Epoch: [73][4570/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7194 (1.6816)	Prec@1 56.000 (54.979)	Prec@5 82.500 (83.825)
Epoch: [73][4580/9018]	Time 0.719 (0.625)	Data 0.001 (0.004)	Loss 1.7918 (1.6816)	Prec@1 54.500 (54.979)	Prec@5 82.000 (83.825)
Epoch: [73][4590/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.7117 (1.6814)	Prec@1 55.500 (54.982)	Prec@5 81.500 (83.827)
Epoch: [73][4600/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.9341 (1.6813)	Prec@1 45.000 (54.987)	Prec@5 83.500 (83.831)
Epoch: [73][4610/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.8376 (1.6814)	Prec@1 50.500 (54.984)	Prec@5 80.000 (83.829)
Epoch: [73][4620/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.8202 (1.6816)	Prec@1 53.000 (54.981)	Prec@5 81.000 (83.824)
Epoch: [73][4630/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.7375 (1.6816)	Prec@1 54.000 (54.981)	Prec@5 84.000 (83.824)
Epoch: [73][4640/9018]	Time 0.614 (0.625)	Data 0.002 (0.004)	Loss 1.7082 (1.6817)	Prec@1 49.500 (54.980)	Prec@5 86.000 (83.825)
Epoch: [73][4650/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.6304 (1.6817)	Prec@1 54.000 (54.980)	Prec@5 84.500 (83.826)
Epoch: [73][4660/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.6516 (1.6817)	Prec@1 56.000 (54.982)	Prec@5 86.500 (83.824)
Epoch: [73][4670/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.7299 (1.6816)	Prec@1 56.500 (54.985)	Prec@5 83.500 (83.827)
Epoch: [73][4680/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.9142 (1.6815)	Prec@1 49.500 (54.986)	Prec@5 83.000 (83.829)
Epoch: [73][4690/9018]	Time 0.604 (0.625)	Data 0.006 (0.004)	Loss 1.5783 (1.6815)	Prec@1 57.500 (54.986)	Prec@5 84.000 (83.830)
Epoch: [73][4700/9018]	Time 0.589 (0.625)	Data 0.002 (0.004)	Loss 1.8079 (1.6816)	Prec@1 51.000 (54.984)	Prec@5 82.500 (83.826)
Epoch: [73][4710/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.5446 (1.6817)	Prec@1 58.500 (54.977)	Prec@5 84.000 (83.824)
Epoch: [73][4720/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.9174 (1.6817)	Prec@1 46.500 (54.973)	Prec@5 82.500 (83.824)
Epoch: [73][4730/9018]	Time 0.609 (0.625)	Data 0.008 (0.004)	Loss 1.6449 (1.6817)	Prec@1 53.500 (54.972)	Prec@5 84.500 (83.824)
Epoch: [73][4740/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.5140 (1.6817)	Prec@1 58.500 (54.974)	Prec@5 88.000 (83.826)
Epoch: [73][4750/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.8197 (1.6816)	Prec@1 52.000 (54.978)	Prec@5 82.000 (83.825)
Epoch: [73][4760/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.7373 (1.6817)	Prec@1 57.500 (54.976)	Prec@5 83.500 (83.825)
Epoch: [73][4770/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.4943 (1.6817)	Prec@1 61.500 (54.979)	Prec@5 86.500 (83.825)
Epoch: [73][4780/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.6286 (1.6817)	Prec@1 53.500 (54.974)	Prec@5 83.500 (83.825)
Epoch: [73][4790/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.6940 (1.6817)	Prec@1 52.500 (54.976)	Prec@5 82.500 (83.826)
Epoch: [73][4800/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.6580 (1.6817)	Prec@1 55.500 (54.979)	Prec@5 83.500 (83.826)
Epoch: [73][4810/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.6256 (1.6818)	Prec@1 53.500 (54.976)	Prec@5 82.500 (83.823)
Epoch: [73][4820/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6756 (1.6818)	Prec@1 56.000 (54.977)	Prec@5 84.500 (83.821)
Epoch: [73][4830/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.5961 (1.6818)	Prec@1 56.000 (54.978)	Prec@5 85.000 (83.822)
Epoch: [73][4840/9018]	Time 0.601 (0.625)	Data 0.007 (0.004)	Loss 1.6789 (1.6818)	Prec@1 56.000 (54.978)	Prec@5 83.000 (83.822)
Epoch: [73][4850/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.5481 (1.6816)	Prec@1 58.000 (54.982)	Prec@5 86.000 (83.823)
Epoch: [73][4860/9018]	Time 0.742 (0.625)	Data 0.014 (0.004)	Loss 1.5353 (1.6815)	Prec@1 55.500 (54.986)	Prec@5 87.000 (83.825)
Epoch: [73][4870/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.6927 (1.6816)	Prec@1 50.500 (54.982)	Prec@5 85.500 (83.823)
Epoch: [73][4880/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.7937 (1.6815)	Prec@1 53.500 (54.985)	Prec@5 82.000 (83.823)
Epoch: [73][4890/9018]	Time 0.617 (0.625)	Data 0.005 (0.004)	Loss 1.5240 (1.6815)	Prec@1 54.000 (54.985)	Prec@5 86.500 (83.825)
Epoch: [73][4900/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.6457 (1.6815)	Prec@1 55.500 (54.983)	Prec@5 84.500 (83.824)
Epoch: [73][4910/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.5206 (1.6816)	Prec@1 59.500 (54.980)	Prec@5 86.500 (83.821)
Epoch: [73][4920/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.6905 (1.6817)	Prec@1 53.000 (54.977)	Prec@5 84.000 (83.821)
Epoch: [73][4930/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.5959 (1.6817)	Prec@1 61.000 (54.978)	Prec@5 82.500 (83.819)
Epoch: [73][4940/9018]	Time 0.667 (0.625)	Data 0.001 (0.004)	Loss 1.4102 (1.6817)	Prec@1 65.000 (54.978)	Prec@5 88.500 (83.818)
Epoch: [73][4950/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.6923 (1.6818)	Prec@1 55.500 (54.976)	Prec@5 84.500 (83.815)
Epoch: [73][4960/9018]	Time 0.630 (0.625)	Data 0.008 (0.004)	Loss 1.5157 (1.6818)	Prec@1 59.000 (54.977)	Prec@5 85.500 (83.815)
Epoch: [73][4970/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.6242 (1.6818)	Prec@1 59.000 (54.978)	Prec@5 85.000 (83.816)
Epoch: [73][4980/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.8397 (1.6818)	Prec@1 51.500 (54.977)	Prec@5 83.500 (83.817)
Epoch: [73][4990/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.7478 (1.6818)	Prec@1 55.000 (54.977)	Prec@5 82.000 (83.816)
Epoch: [73][5000/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.4972 (1.6818)	Prec@1 61.500 (54.977)	Prec@5 84.500 (83.818)
Epoch: [73][5010/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.7952 (1.6817)	Prec@1 54.000 (54.980)	Prec@5 80.000 (83.818)
Epoch: [73][5020/9018]	Time 0.611 (0.625)	Data 0.016 (0.004)	Loss 1.6903 (1.6818)	Prec@1 53.500 (54.979)	Prec@5 81.500 (83.816)
Epoch: [73][5030/9018]	Time 0.648 (0.625)	Data 0.001 (0.004)	Loss 1.8625 (1.6819)	Prec@1 50.500 (54.976)	Prec@5 81.000 (83.814)
Epoch: [73][5040/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 1.7167 (1.6819)	Prec@1 54.000 (54.976)	Prec@5 82.500 (83.815)
Epoch: [73][5050/9018]	Time 0.619 (0.625)	Data 0.013 (0.004)	Loss 1.6869 (1.6819)	Prec@1 55.500 (54.977)	Prec@5 84.000 (83.815)
Epoch: [73][5060/9018]	Time 0.606 (0.625)	Data 0.017 (0.004)	Loss 1.6294 (1.6819)	Prec@1 55.000 (54.975)	Prec@5 83.000 (83.814)
Epoch: [73][5070/9018]	Time 0.628 (0.625)	Data 0.014 (0.004)	Loss 1.7977 (1.6821)	Prec@1 52.500 (54.970)	Prec@5 78.500 (83.810)
Epoch: [73][5080/9018]	Time 0.612 (0.625)	Data 0.003 (0.004)	Loss 1.7310 (1.6821)	Prec@1 56.000 (54.971)	Prec@5 83.500 (83.809)
Epoch: [73][5090/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.6229 (1.6821)	Prec@1 52.500 (54.969)	Prec@5 84.500 (83.810)
Epoch: [73][5100/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.6601 (1.6820)	Prec@1 59.000 (54.969)	Prec@5 84.000 (83.812)
Epoch: [73][5110/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.6556 (1.6820)	Prec@1 56.000 (54.968)	Prec@5 84.000 (83.810)
Epoch: [73][5120/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.6833 (1.6821)	Prec@1 54.000 (54.967)	Prec@5 84.500 (83.808)
Epoch: [73][5130/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.7255 (1.6821)	Prec@1 53.000 (54.967)	Prec@5 80.000 (83.806)
Epoch: [73][5140/9018]	Time 0.709 (0.625)	Data 0.001 (0.004)	Loss 1.6637 (1.6822)	Prec@1 60.000 (54.966)	Prec@5 85.500 (83.805)
Epoch: [73][5150/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.8706 (1.6822)	Prec@1 54.000 (54.969)	Prec@5 78.000 (83.806)
Epoch: [73][5160/9018]	Time 0.647 (0.625)	Data 0.007 (0.004)	Loss 1.7234 (1.6822)	Prec@1 58.000 (54.969)	Prec@5 79.500 (83.805)
Epoch: [73][5170/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.6543 (1.6823)	Prec@1 53.000 (54.966)	Prec@5 83.500 (83.803)
Epoch: [73][5180/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6076 (1.6823)	Prec@1 56.500 (54.965)	Prec@5 86.500 (83.804)
Epoch: [73][5190/9018]	Time 0.741 (0.625)	Data 0.001 (0.004)	Loss 1.6810 (1.6824)	Prec@1 56.500 (54.965)	Prec@5 84.500 (83.802)
Epoch: [73][5200/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.7827 (1.6824)	Prec@1 51.500 (54.961)	Prec@5 82.500 (83.802)
Epoch: [73][5210/9018]	Time 0.616 (0.625)	Data 0.013 (0.004)	Loss 1.8354 (1.6825)	Prec@1 52.000 (54.961)	Prec@5 79.500 (83.802)
Epoch: [73][5220/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.5162 (1.6825)	Prec@1 58.000 (54.961)	Prec@5 87.500 (83.803)
Epoch: [73][5230/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.6481 (1.6825)	Prec@1 54.500 (54.960)	Prec@5 83.500 (83.803)
Epoch: [73][5240/9018]	Time 0.637 (0.625)	Data 0.001 (0.004)	Loss 1.6546 (1.6826)	Prec@1 56.500 (54.961)	Prec@5 84.000 (83.804)
Epoch: [73][5250/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.5699 (1.6825)	Prec@1 55.000 (54.964)	Prec@5 87.000 (83.806)
Epoch: [73][5260/9018]	Time 0.633 (0.625)	Data 0.017 (0.004)	Loss 1.7849 (1.6825)	Prec@1 51.000 (54.964)	Prec@5 79.500 (83.803)
Epoch: [73][5270/9018]	Time 0.653 (0.625)	Data 0.001 (0.004)	Loss 1.5990 (1.6826)	Prec@1 60.000 (54.962)	Prec@5 84.000 (83.802)
Epoch: [73][5280/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.6780 (1.6826)	Prec@1 52.500 (54.961)	Prec@5 85.000 (83.801)
Epoch: [73][5290/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.7142 (1.6827)	Prec@1 56.000 (54.958)	Prec@5 83.000 (83.801)
Epoch: [73][5300/9018]	Time 0.589 (0.625)	Data 0.012 (0.004)	Loss 1.3348 (1.6827)	Prec@1 63.500 (54.960)	Prec@5 89.000 (83.801)
Epoch: [73][5310/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.7797 (1.6826)	Prec@1 52.000 (54.960)	Prec@5 82.500 (83.802)
Epoch: [73][5320/9018]	Time 0.628 (0.625)	Data 0.017 (0.004)	Loss 1.9040 (1.6826)	Prec@1 50.000 (54.962)	Prec@5 79.500 (83.801)
Epoch: [73][5330/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6316 (1.6825)	Prec@1 59.500 (54.964)	Prec@5 82.500 (83.802)
Epoch: [73][5340/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.5078 (1.6825)	Prec@1 54.500 (54.966)	Prec@5 86.500 (83.801)
Epoch: [73][5350/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.5128 (1.6823)	Prec@1 57.500 (54.968)	Prec@5 86.000 (83.801)
Epoch: [73][5360/9018]	Time 0.650 (0.625)	Data 0.001 (0.004)	Loss 1.9101 (1.6825)	Prec@1 50.000 (54.964)	Prec@5 81.500 (83.800)
Epoch: [73][5370/9018]	Time 0.611 (0.625)	Data 0.015 (0.004)	Loss 1.6323 (1.6825)	Prec@1 58.500 (54.963)	Prec@5 82.500 (83.799)
Epoch: [73][5380/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.7822 (1.6825)	Prec@1 53.000 (54.964)	Prec@5 79.500 (83.799)
Epoch: [73][5390/9018]	Time 0.607 (0.625)	Data 0.004 (0.004)	Loss 1.7025 (1.6825)	Prec@1 53.000 (54.962)	Prec@5 81.500 (83.798)
Epoch: [73][5400/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7703 (1.6827)	Prec@1 50.500 (54.960)	Prec@5 80.500 (83.797)
Epoch: [73][5410/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.5828 (1.6826)	Prec@1 56.000 (54.960)	Prec@5 87.000 (83.800)
Epoch: [73][5420/9018]	Time 0.611 (0.625)	Data 0.010 (0.004)	Loss 1.7647 (1.6826)	Prec@1 51.500 (54.957)	Prec@5 82.000 (83.798)
Epoch: [73][5430/9018]	Time 0.624 (0.625)	Data 0.014 (0.004)	Loss 1.5207 (1.6827)	Prec@1 58.500 (54.956)	Prec@5 88.000 (83.797)
Epoch: [73][5440/9018]	Time 0.634 (0.625)	Data 0.013 (0.004)	Loss 1.7262 (1.6829)	Prec@1 52.500 (54.951)	Prec@5 84.500 (83.794)
Epoch: [73][5450/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7000 (1.6830)	Prec@1 56.000 (54.950)	Prec@5 84.500 (83.794)
Epoch: [73][5460/9018]	Time 0.613 (0.625)	Data 0.017 (0.004)	Loss 1.7292 (1.6830)	Prec@1 54.000 (54.951)	Prec@5 81.500 (83.794)
Epoch: [73][5470/9018]	Time 0.737 (0.625)	Data 0.001 (0.004)	Loss 1.5888 (1.6829)	Prec@1 57.000 (54.954)	Prec@5 84.000 (83.793)
Epoch: [73][5480/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.6789 (1.6830)	Prec@1 57.000 (54.952)	Prec@5 82.500 (83.792)
Epoch: [73][5490/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.7084 (1.6831)	Prec@1 55.500 (54.950)	Prec@5 82.000 (83.792)
Epoch: [73][5500/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.6439 (1.6832)	Prec@1 56.500 (54.948)	Prec@5 83.500 (83.790)
Epoch: [73][5510/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.6277 (1.6831)	Prec@1 56.500 (54.949)	Prec@5 83.000 (83.790)
Epoch: [73][5520/9018]	Time 0.781 (0.625)	Data 0.001 (0.004)	Loss 1.5154 (1.6832)	Prec@1 59.000 (54.947)	Prec@5 88.500 (83.789)
Epoch: [73][5530/9018]	Time 0.645 (0.625)	Data 0.001 (0.004)	Loss 1.6690 (1.6832)	Prec@1 53.500 (54.948)	Prec@5 83.000 (83.789)
Epoch: [73][5540/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.8193 (1.6832)	Prec@1 56.000 (54.950)	Prec@5 80.000 (83.788)
Epoch: [73][5550/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.6358 (1.6831)	Prec@1 56.500 (54.952)	Prec@5 85.000 (83.791)
Epoch: [73][5560/9018]	Time 0.606 (0.625)	Data 0.016 (0.004)	Loss 1.3841 (1.6829)	Prec@1 59.000 (54.957)	Prec@5 91.500 (83.795)
Epoch: [73][5570/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.8819 (1.6830)	Prec@1 57.000 (54.958)	Prec@5 81.500 (83.793)
Epoch: [73][5580/9018]	Time 0.614 (0.625)	Data 0.015 (0.004)	Loss 1.5085 (1.6830)	Prec@1 62.500 (54.961)	Prec@5 85.000 (83.794)
Epoch: [73][5590/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8260 (1.6830)	Prec@1 47.000 (54.957)	Prec@5 82.000 (83.793)
Epoch: [73][5600/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.4953 (1.6830)	Prec@1 54.500 (54.955)	Prec@5 88.000 (83.795)
Epoch: [73][5610/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.9963 (1.6831)	Prec@1 48.000 (54.952)	Prec@5 76.500 (83.792)
Epoch: [73][5620/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.7902 (1.6831)	Prec@1 51.500 (54.952)	Prec@5 83.500 (83.790)
Epoch: [73][5630/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.4935 (1.6832)	Prec@1 58.000 (54.951)	Prec@5 88.500 (83.791)
Epoch: [73][5640/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.7566 (1.6832)	Prec@1 53.000 (54.951)	Prec@5 82.500 (83.789)
Epoch: [73][5650/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.5821 (1.6832)	Prec@1 61.000 (54.951)	Prec@5 82.000 (83.789)
Epoch: [73][5660/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.6702 (1.6832)	Prec@1 56.500 (54.950)	Prec@5 83.000 (83.789)
Epoch: [73][5670/9018]	Time 0.609 (0.625)	Data 0.016 (0.004)	Loss 1.6002 (1.6832)	Prec@1 59.000 (54.948)	Prec@5 87.000 (83.789)
Epoch: [73][5680/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.6262 (1.6832)	Prec@1 54.000 (54.948)	Prec@5 85.000 (83.790)
Epoch: [73][5690/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.8345 (1.6832)	Prec@1 53.500 (54.951)	Prec@5 84.500 (83.790)
Epoch: [73][5700/9018]	Time 0.655 (0.625)	Data 0.012 (0.004)	Loss 1.7900 (1.6833)	Prec@1 52.000 (54.951)	Prec@5 78.500 (83.790)
Epoch: [73][5710/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.7709 (1.6832)	Prec@1 56.500 (54.952)	Prec@5 78.000 (83.790)
Epoch: [73][5720/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.7786 (1.6832)	Prec@1 52.500 (54.955)	Prec@5 80.000 (83.790)
Epoch: [73][5730/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.6746 (1.6831)	Prec@1 54.500 (54.957)	Prec@5 84.000 (83.791)
Epoch: [73][5740/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.6973 (1.6832)	Prec@1 51.000 (54.954)	Prec@5 85.000 (83.791)
Epoch: [73][5750/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.6652 (1.6831)	Prec@1 56.000 (54.954)	Prec@5 82.500 (83.794)
Epoch: [73][5760/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.5771 (1.6832)	Prec@1 54.500 (54.954)	Prec@5 88.500 (83.791)
Epoch: [73][5770/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.7582 (1.6833)	Prec@1 51.000 (54.953)	Prec@5 84.000 (83.790)
Epoch: [73][5780/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.7440 (1.6832)	Prec@1 52.000 (54.958)	Prec@5 82.500 (83.792)
Epoch: [73][5790/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.5768 (1.6831)	Prec@1 55.500 (54.958)	Prec@5 86.500 (83.794)
Epoch: [73][5800/9018]	Time 0.711 (0.625)	Data 0.001 (0.004)	Loss 1.5139 (1.6831)	Prec@1 62.500 (54.960)	Prec@5 88.000 (83.793)
Epoch: [73][5810/9018]	Time 0.619 (0.625)	Data 0.016 (0.004)	Loss 1.9168 (1.6832)	Prec@1 48.000 (54.958)	Prec@5 80.000 (83.791)
Epoch: [73][5820/9018]	Time 0.635 (0.625)	Data 0.004 (0.004)	Loss 1.5698 (1.6832)	Prec@1 56.500 (54.959)	Prec@5 84.500 (83.790)
Epoch: [73][5830/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.9045 (1.6832)	Prec@1 55.000 (54.959)	Prec@5 81.500 (83.790)
Epoch: [73][5840/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.6982 (1.6833)	Prec@1 55.500 (54.957)	Prec@5 81.500 (83.789)
Epoch: [73][5850/9018]	Time 0.750 (0.625)	Data 0.001 (0.004)	Loss 1.8209 (1.6833)	Prec@1 49.500 (54.957)	Prec@5 82.500 (83.790)
Epoch: [73][5860/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.8424 (1.6833)	Prec@1 51.000 (54.957)	Prec@5 81.500 (83.790)
Epoch: [73][5870/9018]	Time 0.614 (0.625)	Data 0.012 (0.004)	Loss 1.6825 (1.6832)	Prec@1 59.500 (54.961)	Prec@5 83.000 (83.793)
Epoch: [73][5880/9018]	Time 0.653 (0.625)	Data 0.001 (0.004)	Loss 1.6957 (1.6832)	Prec@1 57.000 (54.961)	Prec@5 81.500 (83.793)
Epoch: [73][5890/9018]	Time 0.626 (0.625)	Data 0.005 (0.004)	Loss 1.7484 (1.6833)	Prec@1 54.000 (54.960)	Prec@5 83.000 (83.791)
Epoch: [73][5900/9018]	Time 0.616 (0.625)	Data 0.005 (0.004)	Loss 1.6916 (1.6832)	Prec@1 53.000 (54.963)	Prec@5 81.000 (83.791)
Epoch: [73][5910/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.8969 (1.6834)	Prec@1 52.000 (54.960)	Prec@5 81.000 (83.787)
Epoch: [73][5920/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.4917 (1.6833)	Prec@1 58.500 (54.960)	Prec@5 86.000 (83.788)
Epoch: [73][5930/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.7679 (1.6833)	Prec@1 54.500 (54.960)	Prec@5 84.000 (83.787)
Epoch: [73][5940/9018]	Time 0.588 (0.625)	Data 0.001 (0.004)	Loss 1.4922 (1.6833)	Prec@1 59.000 (54.960)	Prec@5 90.000 (83.788)
Epoch: [73][5950/9018]	Time 0.628 (0.625)	Data 0.002 (0.004)	Loss 1.7417 (1.6834)	Prec@1 55.000 (54.958)	Prec@5 84.000 (83.787)
Epoch: [73][5960/9018]	Time 0.595 (0.625)	Data 0.011 (0.004)	Loss 1.7977 (1.6835)	Prec@1 52.500 (54.955)	Prec@5 80.000 (83.785)
Epoch: [73][5970/9018]	Time 0.649 (0.625)	Data 0.001 (0.004)	Loss 1.6338 (1.6835)	Prec@1 54.000 (54.954)	Prec@5 86.500 (83.786)
Epoch: [73][5980/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.7594 (1.6835)	Prec@1 58.500 (54.955)	Prec@5 82.000 (83.786)
Epoch: [73][5990/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.8067 (1.6834)	Prec@1 48.500 (54.956)	Prec@5 85.000 (83.788)
Epoch: [73][6000/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.4747 (1.6834)	Prec@1 62.000 (54.959)	Prec@5 87.000 (83.788)
Epoch: [73][6010/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6892 (1.6835)	Prec@1 56.500 (54.958)	Prec@5 82.000 (83.786)
Epoch: [73][6020/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.4947 (1.6835)	Prec@1 57.000 (54.958)	Prec@5 89.000 (83.787)
Epoch: [73][6030/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.7348 (1.6835)	Prec@1 54.000 (54.957)	Prec@5 86.000 (83.787)
Epoch: [73][6040/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.6840 (1.6835)	Prec@1 59.500 (54.957)	Prec@5 86.500 (83.788)
Epoch: [73][6050/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.8242 (1.6835)	Prec@1 50.500 (54.957)	Prec@5 82.000 (83.789)
Epoch: [73][6060/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.9325 (1.6836)	Prec@1 48.500 (54.955)	Prec@5 78.500 (83.785)
Epoch: [73][6070/9018]	Time 0.623 (0.625)	Data 0.013 (0.004)	Loss 1.4854 (1.6836)	Prec@1 57.500 (54.956)	Prec@5 88.000 (83.784)
Epoch: [73][6080/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7935 (1.6837)	Prec@1 53.000 (54.953)	Prec@5 83.000 (83.782)
Epoch: [73][6090/9018]	Time 0.602 (0.625)	Data 0.002 (0.004)	Loss 1.3629 (1.6837)	Prec@1 60.000 (54.952)	Prec@5 91.500 (83.782)
Epoch: [73][6100/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 2.0053 (1.6837)	Prec@1 49.500 (54.954)	Prec@5 75.500 (83.784)
Epoch: [73][6110/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7757 (1.6837)	Prec@1 50.000 (54.953)	Prec@5 85.000 (83.784)
Epoch: [73][6120/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7616 (1.6838)	Prec@1 49.000 (54.949)	Prec@5 84.500 (83.782)
Epoch: [73][6130/9018]	Time 0.744 (0.625)	Data 0.008 (0.004)	Loss 1.5070 (1.6839)	Prec@1 61.000 (54.950)	Prec@5 85.500 (83.783)
Epoch: [73][6140/9018]	Time 0.644 (0.625)	Data 0.001 (0.004)	Loss 1.6963 (1.6839)	Prec@1 55.500 (54.949)	Prec@5 84.000 (83.783)
Epoch: [73][6150/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.5033 (1.6838)	Prec@1 58.000 (54.950)	Prec@5 83.000 (83.784)
Epoch: [73][6160/9018]	Time 0.617 (0.625)	Data 0.002 (0.004)	Loss 1.7053 (1.6838)	Prec@1 55.500 (54.951)	Prec@5 83.500 (83.783)
Epoch: [73][6170/9018]	Time 0.596 (0.625)	Data 0.004 (0.004)	Loss 1.7256 (1.6838)	Prec@1 54.000 (54.948)	Prec@5 82.500 (83.783)
Epoch: [73][6180/9018]	Time 0.749 (0.625)	Data 0.001 (0.004)	Loss 1.8842 (1.6839)	Prec@1 50.000 (54.947)	Prec@5 78.500 (83.779)
Epoch: [73][6190/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.7583 (1.6838)	Prec@1 56.000 (54.948)	Prec@5 81.500 (83.779)
Epoch: [73][6200/9018]	Time 0.638 (0.625)	Data 0.001 (0.004)	Loss 1.4487 (1.6838)	Prec@1 62.500 (54.948)	Prec@5 90.500 (83.779)
Epoch: [73][6210/9018]	Time 0.640 (0.625)	Data 0.001 (0.004)	Loss 1.7810 (1.6840)	Prec@1 57.500 (54.947)	Prec@5 81.500 (83.776)
Epoch: [73][6220/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.6448 (1.6839)	Prec@1 55.500 (54.948)	Prec@5 86.500 (83.777)
Epoch: [73][6230/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.7041 (1.6840)	Prec@1 51.500 (54.947)	Prec@5 86.000 (83.777)
Epoch: [73][6240/9018]	Time 0.600 (0.625)	Data 0.002 (0.004)	Loss 1.7883 (1.6841)	Prec@1 49.500 (54.943)	Prec@5 80.500 (83.775)
Epoch: [73][6250/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.3544 (1.6841)	Prec@1 61.500 (54.942)	Prec@5 89.500 (83.776)
Epoch: [73][6260/9018]	Time 0.635 (0.625)	Data 0.012 (0.004)	Loss 1.8767 (1.6842)	Prec@1 49.500 (54.940)	Prec@5 82.000 (83.775)
Epoch: [73][6270/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7909 (1.6842)	Prec@1 52.000 (54.940)	Prec@5 82.000 (83.775)
Epoch: [73][6280/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.6733 (1.6841)	Prec@1 59.500 (54.941)	Prec@5 85.000 (83.776)
Epoch: [73][6290/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.9247 (1.6842)	Prec@1 47.000 (54.939)	Prec@5 82.500 (83.776)
Epoch: [73][6300/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.5688 (1.6842)	Prec@1 62.000 (54.940)	Prec@5 85.000 (83.777)
Epoch: [73][6310/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.4694 (1.6841)	Prec@1 60.000 (54.942)	Prec@5 89.000 (83.778)
Epoch: [73][6320/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.6494 (1.6842)	Prec@1 55.000 (54.942)	Prec@5 85.500 (83.778)
Epoch: [73][6330/9018]	Time 0.619 (0.625)	Data 0.015 (0.004)	Loss 1.7176 (1.6842)	Prec@1 55.000 (54.942)	Prec@5 83.000 (83.778)
Epoch: [73][6340/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6330 (1.6842)	Prec@1 58.000 (54.941)	Prec@5 84.500 (83.777)
Epoch: [73][6350/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.7285 (1.6842)	Prec@1 55.500 (54.941)	Prec@5 82.500 (83.777)
Epoch: [73][6360/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.8873 (1.6842)	Prec@1 47.000 (54.941)	Prec@5 81.000 (83.778)
Epoch: [73][6370/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.5815 (1.6842)	Prec@1 58.000 (54.939)	Prec@5 85.000 (83.778)
Epoch: [73][6380/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.7817 (1.6841)	Prec@1 51.500 (54.940)	Prec@5 82.000 (83.780)
Epoch: [73][6390/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 1.7648 (1.6841)	Prec@1 54.000 (54.938)	Prec@5 82.000 (83.778)
Epoch: [73][6400/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.9165 (1.6843)	Prec@1 45.000 (54.934)	Prec@5 79.500 (83.775)
Epoch: [73][6410/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.7722 (1.6843)	Prec@1 50.500 (54.936)	Prec@5 84.500 (83.775)
Epoch: [73][6420/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.6295 (1.6843)	Prec@1 59.000 (54.935)	Prec@5 83.500 (83.775)
Epoch: [73][6430/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.7907 (1.6843)	Prec@1 52.500 (54.934)	Prec@5 82.500 (83.775)
Epoch: [73][6440/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.9137 (1.6843)	Prec@1 48.500 (54.935)	Prec@5 79.000 (83.776)
Epoch: [73][6450/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.7003 (1.6842)	Prec@1 54.500 (54.937)	Prec@5 83.000 (83.777)
Epoch: [73][6460/9018]	Time 0.763 (0.625)	Data 0.001 (0.003)	Loss 1.7278 (1.6842)	Prec@1 51.000 (54.937)	Prec@5 84.500 (83.777)
Epoch: [73][6470/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.4992 (1.6843)	Prec@1 59.500 (54.936)	Prec@5 85.000 (83.777)
Epoch: [73][6480/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.5363 (1.6843)	Prec@1 61.000 (54.937)	Prec@5 84.000 (83.776)
Epoch: [73][6490/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.5490 (1.6842)	Prec@1 61.000 (54.941)	Prec@5 87.000 (83.777)
Epoch: [73][6500/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.7653 (1.6843)	Prec@1 55.500 (54.939)	Prec@5 81.500 (83.776)
Epoch: [73][6510/9018]	Time 0.800 (0.625)	Data 0.001 (0.003)	Loss 1.9204 (1.6843)	Prec@1 46.500 (54.939)	Prec@5 78.000 (83.775)
Epoch: [73][6520/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.7093 (1.6843)	Prec@1 53.000 (54.939)	Prec@5 83.000 (83.774)
Epoch: [73][6530/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.6794 (1.6843)	Prec@1 55.000 (54.939)	Prec@5 84.000 (83.775)
Epoch: [73][6540/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.7750 (1.6844)	Prec@1 52.000 (54.938)	Prec@5 84.500 (83.774)
Epoch: [73][6550/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.7736 (1.6845)	Prec@1 49.500 (54.935)	Prec@5 80.500 (83.773)
Epoch: [73][6560/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.6379 (1.6845)	Prec@1 56.500 (54.934)	Prec@5 82.500 (83.771)
Epoch: [73][6570/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.6398 (1.6846)	Prec@1 54.000 (54.933)	Prec@5 86.500 (83.771)
Epoch: [73][6580/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.7854 (1.6846)	Prec@1 54.000 (54.933)	Prec@5 84.500 (83.771)
Epoch: [73][6590/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.6806 (1.6845)	Prec@1 56.000 (54.935)	Prec@5 85.500 (83.770)
Epoch: [73][6600/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.7637 (1.6845)	Prec@1 50.500 (54.935)	Prec@5 83.500 (83.772)
Epoch: [73][6610/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.8669 (1.6845)	Prec@1 50.000 (54.931)	Prec@5 81.500 (83.771)
Epoch: [73][6620/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.7004 (1.6845)	Prec@1 53.500 (54.933)	Prec@5 86.500 (83.772)
Epoch: [73][6630/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.5080 (1.6845)	Prec@1 59.500 (54.932)	Prec@5 87.000 (83.771)
Epoch: [73][6640/9018]	Time 0.657 (0.625)	Data 0.001 (0.003)	Loss 1.6579 (1.6845)	Prec@1 54.000 (54.931)	Prec@5 84.000 (83.773)
Epoch: [73][6650/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.9080 (1.6845)	Prec@1 51.000 (54.928)	Prec@5 82.000 (83.772)
Epoch: [73][6660/9018]	Time 0.616 (0.625)	Data 0.046 (0.004)	Loss 1.6059 (1.6846)	Prec@1 55.500 (54.927)	Prec@5 86.000 (83.771)
Epoch: [73][6670/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.6976 (1.6847)	Prec@1 50.000 (54.924)	Prec@5 84.000 (83.769)
Epoch: [73][6680/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.7803 (1.6848)	Prec@1 54.500 (54.924)	Prec@5 83.000 (83.767)
Epoch: [73][6690/9018]	Time 0.645 (0.625)	Data 0.001 (0.004)	Loss 1.7063 (1.6847)	Prec@1 55.500 (54.925)	Prec@5 85.000 (83.769)
Epoch: [73][6700/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.9507 (1.6847)	Prec@1 46.500 (54.924)	Prec@5 77.000 (83.768)
Epoch: [73][6710/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6062 (1.6847)	Prec@1 55.000 (54.924)	Prec@5 85.000 (83.768)
Epoch: [73][6720/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.6557 (1.6846)	Prec@1 56.000 (54.925)	Prec@5 84.500 (83.768)
Epoch: [73][6730/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.6453 (1.6846)	Prec@1 54.000 (54.927)	Prec@5 84.500 (83.770)
Epoch: [73][6740/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.5534 (1.6846)	Prec@1 52.500 (54.924)	Prec@5 89.500 (83.770)
Epoch: [73][6750/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.7184 (1.6846)	Prec@1 50.500 (54.923)	Prec@5 83.000 (83.769)
Epoch: [73][6760/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.7286 (1.6846)	Prec@1 55.000 (54.924)	Prec@5 84.000 (83.768)
Epoch: [73][6770/9018]	Time 0.596 (0.626)	Data 0.001 (0.005)	Loss 1.6429 (1.6847)	Prec@1 55.500 (54.923)	Prec@5 84.500 (83.767)
Epoch: [73][6780/9018]	Time 0.593 (0.626)	Data 0.001 (0.005)	Loss 1.6546 (1.6846)	Prec@1 55.000 (54.925)	Prec@5 87.000 (83.767)
Epoch: [73][6790/9018]	Time 0.729 (0.626)	Data 0.001 (0.005)	Loss 1.9889 (1.6848)	Prec@1 50.500 (54.921)	Prec@5 79.000 (83.764)
Epoch: [73][6800/9018]	Time 0.612 (0.626)	Data 0.001 (0.005)	Loss 1.6652 (1.6847)	Prec@1 57.500 (54.923)	Prec@5 85.500 (83.766)
Epoch: [73][6810/9018]	Time 0.715 (0.626)	Data 0.157 (0.005)	Loss 1.6144 (1.6847)	Prec@1 52.500 (54.923)	Prec@5 86.500 (83.765)
Epoch: [73][6820/9018]	Time 0.860 (0.627)	Data 0.302 (0.006)	Loss 1.7542 (1.6847)	Prec@1 54.500 (54.921)	Prec@5 84.000 (83.766)
Epoch: [73][6830/9018]	Time 0.604 (0.627)	Data 0.001 (0.006)	Loss 2.0073 (1.6847)	Prec@1 49.000 (54.920)	Prec@5 78.000 (83.765)
Epoch: [73][6840/9018]	Time 0.761 (0.627)	Data 0.001 (0.006)	Loss 1.6128 (1.6847)	Prec@1 55.000 (54.920)	Prec@5 89.000 (83.765)
Epoch: [73][6850/9018]	Time 0.597 (0.627)	Data 0.001 (0.006)	Loss 1.6218 (1.6847)	Prec@1 58.500 (54.923)	Prec@5 83.000 (83.766)
Epoch: [73][6860/9018]	Time 0.596 (0.627)	Data 0.001 (0.006)	Loss 1.7056 (1.6846)	Prec@1 54.000 (54.924)	Prec@5 82.000 (83.765)
Epoch: [73][6870/9018]	Time 0.626 (0.627)	Data 0.002 (0.006)	Loss 1.7726 (1.6846)	Prec@1 49.000 (54.923)	Prec@5 83.500 (83.766)
Epoch: [73][6880/9018]	Time 0.626 (0.627)	Data 0.001 (0.006)	Loss 1.7371 (1.6846)	Prec@1 59.500 (54.924)	Prec@5 82.000 (83.766)
Epoch: [73][6890/9018]	Time 0.645 (0.627)	Data 0.001 (0.006)	Loss 1.7359 (1.6846)	Prec@1 53.000 (54.924)	Prec@5 82.500 (83.768)
Epoch: [73][6900/9018]	Time 0.607 (0.627)	Data 0.001 (0.006)	Loss 1.7507 (1.6846)	Prec@1 51.500 (54.923)	Prec@5 80.500 (83.767)
Epoch: [73][6910/9018]	Time 0.606 (0.627)	Data 0.002 (0.006)	Loss 1.4433 (1.6845)	Prec@1 60.500 (54.924)	Prec@5 89.000 (83.770)
Epoch: [73][6920/9018]	Time 0.635 (0.627)	Data 0.001 (0.006)	Loss 1.6231 (1.6846)	Prec@1 62.500 (54.924)	Prec@5 80.500 (83.767)
Epoch: [73][6930/9018]	Time 0.624 (0.627)	Data 0.001 (0.006)	Loss 1.6455 (1.6845)	Prec@1 57.000 (54.926)	Prec@5 85.000 (83.767)
Epoch: [73][6940/9018]	Time 0.605 (0.627)	Data 0.001 (0.006)	Loss 1.5972 (1.6844)	Prec@1 56.500 (54.929)	Prec@5 82.500 (83.768)
Epoch: [73][6950/9018]	Time 0.625 (0.627)	Data 0.001 (0.006)	Loss 1.7019 (1.6844)	Prec@1 52.000 (54.931)	Prec@5 84.500 (83.768)
Epoch: [73][6960/9018]	Time 0.606 (0.627)	Data 0.001 (0.006)	Loss 1.7770 (1.6844)	Prec@1 49.500 (54.931)	Prec@5 82.500 (83.768)
Epoch: [73][6970/9018]	Time 0.606 (0.627)	Data 0.002 (0.006)	Loss 1.6795 (1.6844)	Prec@1 56.500 (54.931)	Prec@5 84.000 (83.769)
Epoch: [73][6980/9018]	Time 0.595 (0.627)	Data 0.001 (0.006)	Loss 1.5788 (1.6845)	Prec@1 56.000 (54.929)	Prec@5 85.500 (83.768)
Epoch: [73][6990/9018]	Time 0.616 (0.627)	Data 0.001 (0.006)	Loss 1.6089 (1.6844)	Prec@1 57.000 (54.928)	Prec@5 85.000 (83.768)
Epoch: [73][7000/9018]	Time 0.609 (0.627)	Data 0.001 (0.006)	Loss 1.5526 (1.6845)	Prec@1 59.000 (54.927)	Prec@5 84.000 (83.767)
Epoch: [73][7010/9018]	Time 0.637 (0.627)	Data 0.001 (0.006)	Loss 1.6211 (1.6845)	Prec@1 54.000 (54.923)	Prec@5 84.000 (83.767)
Epoch: [73][7020/9018]	Time 0.616 (0.627)	Data 0.017 (0.006)	Loss 1.6769 (1.6845)	Prec@1 54.500 (54.924)	Prec@5 82.500 (83.767)
Epoch: [73][7030/9018]	Time 0.615 (0.627)	Data 0.016 (0.006)	Loss 1.7162 (1.6846)	Prec@1 52.000 (54.922)	Prec@5 82.000 (83.766)
Epoch: [73][7040/9018]	Time 0.619 (0.627)	Data 0.001 (0.006)	Loss 1.6627 (1.6846)	Prec@1 55.000 (54.920)	Prec@5 81.500 (83.766)
Epoch: [73][7050/9018]	Time 0.629 (0.627)	Data 0.001 (0.006)	Loss 1.4787 (1.6846)	Prec@1 57.500 (54.921)	Prec@5 86.000 (83.766)
Epoch: [73][7060/9018]	Time 0.607 (0.627)	Data 0.001 (0.006)	Loss 1.4844 (1.6846)	Prec@1 64.500 (54.922)	Prec@5 85.500 (83.767)
Epoch: [73][7070/9018]	Time 0.603 (0.627)	Data 0.002 (0.006)	Loss 1.9131 (1.6846)	Prec@1 47.500 (54.921)	Prec@5 80.500 (83.767)
Epoch: [73][7080/9018]	Time 0.604 (0.627)	Data 0.001 (0.006)	Loss 1.6480 (1.6845)	Prec@1 54.500 (54.922)	Prec@5 87.500 (83.769)
Epoch: [73][7090/9018]	Time 0.609 (0.627)	Data 0.001 (0.006)	Loss 1.6741 (1.6846)	Prec@1 57.000 (54.921)	Prec@5 86.000 (83.769)
Epoch: [73][7100/9018]	Time 0.607 (0.627)	Data 0.001 (0.006)	Loss 1.6294 (1.6846)	Prec@1 53.000 (54.920)	Prec@5 85.000 (83.768)
Epoch: [73][7110/9018]	Time 0.603 (0.627)	Data 0.001 (0.006)	Loss 1.4777 (1.6846)	Prec@1 57.500 (54.921)	Prec@5 88.000 (83.767)
Epoch: [73][7120/9018]	Time 0.782 (0.627)	Data 0.001 (0.006)	Loss 1.5423 (1.6846)	Prec@1 55.500 (54.921)	Prec@5 83.500 (83.767)
Epoch: [73][7130/9018]	Time 0.634 (0.627)	Data 0.002 (0.006)	Loss 1.4901 (1.6845)	Prec@1 57.000 (54.921)	Prec@5 88.000 (83.768)
Epoch: [73][7140/9018]	Time 0.626 (0.627)	Data 0.007 (0.006)	Loss 1.9409 (1.6847)	Prec@1 49.500 (54.918)	Prec@5 76.000 (83.765)
Epoch: [73][7150/9018]	Time 0.604 (0.627)	Data 0.001 (0.006)	Loss 1.7315 (1.6847)	Prec@1 51.500 (54.918)	Prec@5 83.000 (83.765)
Epoch: [73][7160/9018]	Time 0.602 (0.627)	Data 0.001 (0.006)	Loss 1.8755 (1.6846)	Prec@1 51.500 (54.919)	Prec@5 81.000 (83.767)
Epoch: [73][7170/9018]	Time 0.750 (0.627)	Data 0.001 (0.006)	Loss 1.7461 (1.6847)	Prec@1 57.000 (54.920)	Prec@5 84.000 (83.768)
Epoch: [73][7180/9018]	Time 0.604 (0.627)	Data 0.001 (0.006)	Loss 1.7980 (1.6846)	Prec@1 53.500 (54.920)	Prec@5 79.500 (83.767)
Epoch: [73][7190/9018]	Time 0.608 (0.627)	Data 0.001 (0.006)	Loss 1.7533 (1.6846)	Prec@1 54.000 (54.921)	Prec@5 79.500 (83.768)
Epoch: [73][7200/9018]	Time 0.669 (0.627)	Data 0.001 (0.006)	Loss 1.6682 (1.6847)	Prec@1 58.500 (54.920)	Prec@5 79.000 (83.769)
Epoch: [73][7210/9018]	Time 0.636 (0.627)	Data 0.002 (0.006)	Loss 1.5860 (1.6846)	Prec@1 59.500 (54.922)	Prec@5 83.000 (83.770)
Epoch: [73][7220/9018]	Time 0.638 (0.627)	Data 0.002 (0.006)	Loss 1.5196 (1.6846)	Prec@1 57.500 (54.923)	Prec@5 85.000 (83.770)
Epoch: [73][7230/9018]	Time 0.597 (0.627)	Data 0.001 (0.006)	Loss 1.5955 (1.6845)	Prec@1 61.000 (54.926)	Prec@5 86.000 (83.772)
Epoch: [73][7240/9018]	Time 0.612 (0.627)	Data 0.001 (0.006)	Loss 1.6093 (1.6847)	Prec@1 54.500 (54.922)	Prec@5 84.000 (83.769)
Epoch: [73][7250/9018]	Time 0.604 (0.627)	Data 0.001 (0.006)	Loss 1.7964 (1.6846)	Prec@1 56.000 (54.925)	Prec@5 83.000 (83.770)
Epoch: [73][7260/9018]	Time 0.592 (0.627)	Data 0.001 (0.006)	Loss 1.8398 (1.6846)	Prec@1 56.000 (54.925)	Prec@5 79.500 (83.771)
Epoch: [73][7270/9018]	Time 2.038 (0.628)	Data 1.492 (0.007)	Loss 1.5952 (1.6846)	Prec@1 56.000 (54.926)	Prec@5 87.000 (83.772)
Epoch: [73][7280/9018]	Time 0.606 (0.628)	Data 0.001 (0.007)	Loss 1.5248 (1.6846)	Prec@1 56.000 (54.926)	Prec@5 84.500 (83.771)
Epoch: [73][7290/9018]	Time 2.432 (0.629)	Data 1.883 (0.008)	Loss 1.5935 (1.6845)	Prec@1 58.500 (54.927)	Prec@5 85.500 (83.771)
Epoch: [73][7300/9018]	Time 0.830 (0.629)	Data 0.274 (0.008)	Loss 1.7393 (1.6846)	Prec@1 54.500 (54.925)	Prec@5 82.500 (83.769)
Epoch: [73][7310/9018]	Time 0.610 (0.629)	Data 0.001 (0.008)	Loss 1.6351 (1.6846)	Prec@1 54.500 (54.926)	Prec@5 85.000 (83.769)
Epoch: [73][7320/9018]	Time 0.592 (0.630)	Data 0.001 (0.009)	Loss 1.5530 (1.6846)	Prec@1 57.000 (54.924)	Prec@5 84.000 (83.769)
Epoch: [73][7330/9018]	Time 0.649 (0.630)	Data 0.082 (0.009)	Loss 1.7394 (1.6845)	Prec@1 51.500 (54.924)	Prec@5 83.000 (83.769)
Epoch: [73][7340/9018]	Time 0.758 (0.630)	Data 0.189 (0.009)	Loss 1.6301 (1.6846)	Prec@1 55.000 (54.923)	Prec@5 83.000 (83.767)
Epoch: [73][7350/9018]	Time 0.746 (0.630)	Data 0.168 (0.009)	Loss 1.9417 (1.6846)	Prec@1 47.000 (54.922)	Prec@5 79.000 (83.767)
Epoch: [73][7360/9018]	Time 0.642 (0.630)	Data 0.001 (0.009)	Loss 1.8272 (1.6847)	Prec@1 50.500 (54.918)	Prec@5 82.000 (83.765)
Epoch: [73][7370/9018]	Time 0.620 (0.630)	Data 0.001 (0.009)	Loss 1.6583 (1.6847)	Prec@1 53.000 (54.919)	Prec@5 86.000 (83.766)
Epoch: [73][7380/9018]	Time 0.607 (0.630)	Data 0.001 (0.009)	Loss 1.7367 (1.6848)	Prec@1 49.500 (54.918)	Prec@5 83.000 (83.766)
Epoch: [73][7390/9018]	Time 0.590 (0.630)	Data 0.001 (0.009)	Loss 1.5716 (1.6848)	Prec@1 56.000 (54.918)	Prec@5 84.500 (83.763)
Epoch: [73][7400/9018]	Time 0.605 (0.630)	Data 0.001 (0.009)	Loss 1.7119 (1.6848)	Prec@1 52.500 (54.916)	Prec@5 87.000 (83.763)
Epoch: [73][7410/9018]	Time 0.609 (0.630)	Data 0.001 (0.009)	Loss 1.7750 (1.6848)	Prec@1 51.000 (54.918)	Prec@5 82.500 (83.762)
Epoch: [73][7420/9018]	Time 0.615 (0.630)	Data 0.001 (0.009)	Loss 1.7342 (1.6849)	Prec@1 54.000 (54.918)	Prec@5 82.000 (83.761)
Epoch: [73][7430/9018]	Time 0.610 (0.630)	Data 0.001 (0.009)	Loss 1.9760 (1.6850)	Prec@1 48.500 (54.916)	Prec@5 79.000 (83.760)
Epoch: [73][7440/9018]	Time 0.619 (0.630)	Data 0.001 (0.009)	Loss 1.7144 (1.6850)	Prec@1 59.500 (54.916)	Prec@5 83.000 (83.759)
Epoch: [73][7450/9018]	Time 0.712 (0.630)	Data 0.001 (0.009)	Loss 1.6022 (1.6851)	Prec@1 52.500 (54.915)	Prec@5 88.000 (83.760)
Epoch: [73][7460/9018]	Time 0.628 (0.630)	Data 0.007 (0.009)	Loss 1.6308 (1.6851)	Prec@1 55.500 (54.915)	Prec@5 82.500 (83.759)
Epoch: [73][7470/9018]	Time 0.626 (0.630)	Data 0.001 (0.009)	Loss 1.7649 (1.6851)	Prec@1 51.500 (54.915)	Prec@5 83.000 (83.758)
Epoch: [73][7480/9018]	Time 1.254 (0.630)	Data 0.680 (0.009)	Loss 1.5879 (1.6851)	Prec@1 52.500 (54.915)	Prec@5 86.500 (83.758)
Epoch: [73][7490/9018]	Time 0.633 (0.630)	Data 0.001 (0.009)	Loss 1.6111 (1.6851)	Prec@1 57.000 (54.915)	Prec@5 86.000 (83.757)
Epoch: [73][7500/9018]	Time 0.779 (0.630)	Data 0.071 (0.009)	Loss 1.9243 (1.6851)	Prec@1 51.000 (54.914)	Prec@5 82.000 (83.758)
Epoch: [73][7510/9018]	Time 0.616 (0.630)	Data 0.001 (0.009)	Loss 1.6544 (1.6852)	Prec@1 55.000 (54.912)	Prec@5 83.500 (83.757)
Epoch: [73][7520/9018]	Time 0.603 (0.630)	Data 0.001 (0.009)	Loss 1.7277 (1.6852)	Prec@1 54.500 (54.911)	Prec@5 83.500 (83.757)
Epoch: [73][7530/9018]	Time 0.630 (0.630)	Data 0.001 (0.009)	Loss 1.7415 (1.6852)	Prec@1 54.500 (54.911)	Prec@5 82.000 (83.757)
Epoch: [73][7540/9018]	Time 1.070 (0.630)	Data 0.495 (0.009)	Loss 1.7034 (1.6852)	Prec@1 56.000 (54.913)	Prec@5 86.000 (83.757)
Epoch: [73][7550/9018]	Time 0.619 (0.630)	Data 0.001 (0.009)	Loss 1.6009 (1.6853)	Prec@1 57.500 (54.911)	Prec@5 84.500 (83.755)
Epoch: [73][7560/9018]	Time 0.678 (0.630)	Data 0.001 (0.009)	Loss 1.8518 (1.6854)	Prec@1 51.000 (54.910)	Prec@5 79.000 (83.755)
Epoch: [73][7570/9018]	Time 0.599 (0.630)	Data 0.001 (0.009)	Loss 1.7981 (1.6853)	Prec@1 56.000 (54.910)	Prec@5 79.500 (83.756)
Epoch: [73][7580/9018]	Time 0.615 (0.630)	Data 0.001 (0.009)	Loss 1.8086 (1.6854)	Prec@1 51.500 (54.910)	Prec@5 83.500 (83.754)
Epoch: [73][7590/9018]	Time 0.630 (0.630)	Data 0.001 (0.009)	Loss 1.7865 (1.6854)	Prec@1 47.500 (54.910)	Prec@5 83.500 (83.753)
Epoch: [73][7600/9018]	Time 0.626 (0.630)	Data 0.001 (0.009)	Loss 1.5480 (1.6853)	Prec@1 56.500 (54.909)	Prec@5 87.000 (83.755)
Epoch: [73][7610/9018]	Time 0.655 (0.630)	Data 0.097 (0.009)	Loss 1.8360 (1.6853)	Prec@1 48.500 (54.911)	Prec@5 81.500 (83.755)
Epoch: [73][7620/9018]	Time 0.620 (0.630)	Data 0.001 (0.009)	Loss 1.6972 (1.6854)	Prec@1 54.000 (54.911)	Prec@5 81.000 (83.754)
Epoch: [73][7630/9018]	Time 0.604 (0.630)	Data 0.001 (0.009)	Loss 1.5460 (1.6853)	Prec@1 58.000 (54.911)	Prec@5 87.000 (83.755)
Epoch: [73][7640/9018]	Time 0.595 (0.630)	Data 0.001 (0.009)	Loss 1.6132 (1.6853)	Prec@1 53.000 (54.909)	Prec@5 85.500 (83.755)
Epoch: [73][7650/9018]	Time 0.634 (0.630)	Data 0.001 (0.009)	Loss 1.5490 (1.6854)	Prec@1 58.000 (54.906)	Prec@5 84.500 (83.755)
Epoch: [73][7660/9018]	Time 0.615 (0.630)	Data 0.001 (0.009)	Loss 1.8957 (1.6854)	Prec@1 51.500 (54.905)	Prec@5 80.500 (83.754)
Epoch: [73][7670/9018]	Time 0.622 (0.630)	Data 0.001 (0.009)	Loss 1.7335 (1.6855)	Prec@1 58.000 (54.905)	Prec@5 84.000 (83.753)
Epoch: [73][7680/9018]	Time 0.605 (0.630)	Data 0.001 (0.009)	Loss 1.6505 (1.6855)	Prec@1 54.500 (54.905)	Prec@5 83.000 (83.755)
Epoch: [73][7690/9018]	Time 0.622 (0.630)	Data 0.049 (0.009)	Loss 1.6310 (1.6855)	Prec@1 57.500 (54.904)	Prec@5 84.500 (83.754)
Epoch: [73][7700/9018]	Time 0.632 (0.630)	Data 0.001 (0.009)	Loss 1.7603 (1.6855)	Prec@1 54.000 (54.904)	Prec@5 81.500 (83.754)
Epoch: [73][7710/9018]	Time 0.631 (0.630)	Data 0.001 (0.009)	Loss 1.8241 (1.6855)	Prec@1 50.500 (54.902)	Prec@5 81.000 (83.753)
Epoch: [73][7720/9018]	Time 0.647 (0.630)	Data 0.001 (0.009)	Loss 1.7389 (1.6856)	Prec@1 57.000 (54.900)	Prec@5 84.000 (83.751)
Epoch: [73][7730/9018]	Time 0.765 (0.630)	Data 0.001 (0.009)	Loss 1.7052 (1.6857)	Prec@1 57.500 (54.901)	Prec@5 83.500 (83.752)
Epoch: [73][7740/9018]	Time 0.719 (0.630)	Data 0.160 (0.010)	Loss 1.6508 (1.6857)	Prec@1 54.500 (54.901)	Prec@5 86.500 (83.751)
Epoch: [73][7750/9018]	Time 0.630 (0.630)	Data 0.001 (0.010)	Loss 1.6961 (1.6857)	Prec@1 53.000 (54.902)	Prec@5 84.500 (83.752)
Epoch: [73][7760/9018]	Time 0.600 (0.631)	Data 0.001 (0.010)	Loss 1.7142 (1.6857)	Prec@1 55.500 (54.901)	Prec@5 79.500 (83.751)
Epoch: [73][7770/9018]	Time 0.609 (0.631)	Data 0.001 (0.010)	Loss 1.6159 (1.6857)	Prec@1 58.000 (54.903)	Prec@5 83.500 (83.750)
Epoch: [73][7780/9018]	Time 0.766 (0.631)	Data 0.001 (0.010)	Loss 1.6519 (1.6857)	Prec@1 55.000 (54.904)	Prec@5 82.500 (83.750)
Epoch: [73][7790/9018]	Time 0.614 (0.631)	Data 0.001 (0.010)	Loss 1.6810 (1.6856)	Prec@1 55.500 (54.905)	Prec@5 82.500 (83.750)
Epoch: [73][7800/9018]	Time 0.594 (0.631)	Data 0.001 (0.010)	Loss 1.5686 (1.6856)	Prec@1 58.500 (54.907)	Prec@5 88.000 (83.751)
Epoch: [73][7810/9018]	Time 0.642 (0.631)	Data 0.001 (0.010)	Loss 1.6727 (1.6855)	Prec@1 59.000 (54.908)	Prec@5 83.000 (83.751)
Epoch: [73][7820/9018]	Time 0.616 (0.631)	Data 0.001 (0.010)	Loss 1.7210 (1.6856)	Prec@1 56.000 (54.907)	Prec@5 80.500 (83.751)
Epoch: [73][7830/9018]	Time 0.614 (0.631)	Data 0.001 (0.011)	Loss 1.7954 (1.6856)	Prec@1 52.000 (54.906)	Prec@5 82.500 (83.750)
Epoch: [73][7840/9018]	Time 0.778 (0.631)	Data 0.217 (0.011)	Loss 1.6029 (1.6856)	Prec@1 57.000 (54.907)	Prec@5 85.000 (83.749)
Epoch: [73][7850/9018]	Time 0.633 (0.631)	Data 0.001 (0.011)	Loss 1.7979 (1.6856)	Prec@1 51.500 (54.906)	Prec@5 79.000 (83.748)
Epoch: [73][7860/9018]	Time 0.612 (0.631)	Data 0.001 (0.011)	Loss 1.7005 (1.6856)	Prec@1 56.000 (54.908)	Prec@5 81.500 (83.749)
Epoch: [73][7870/9018]	Time 0.605 (0.632)	Data 0.001 (0.011)	Loss 1.4860 (1.6856)	Prec@1 58.500 (54.907)	Prec@5 86.000 (83.749)
Epoch: [73][7880/9018]	Time 0.640 (0.632)	Data 0.001 (0.011)	Loss 1.5443 (1.6855)	Prec@1 56.000 (54.907)	Prec@5 86.000 (83.749)
Epoch: [73][7890/9018]	Time 0.606 (0.632)	Data 0.001 (0.011)	Loss 1.4825 (1.6855)	Prec@1 59.000 (54.908)	Prec@5 87.500 (83.750)
Epoch: [73][7900/9018]	Time 0.606 (0.632)	Data 0.001 (0.011)	Loss 1.5579 (1.6855)	Prec@1 55.500 (54.910)	Prec@5 83.500 (83.749)
Epoch: [73][7910/9018]	Time 0.611 (0.632)	Data 0.001 (0.012)	Loss 1.8302 (1.6855)	Prec@1 53.000 (54.908)	Prec@5 82.000 (83.748)
Epoch: [73][7920/9018]	Time 0.731 (0.632)	Data 0.187 (0.012)	Loss 1.8198 (1.6856)	Prec@1 51.000 (54.907)	Prec@5 80.500 (83.746)
Epoch: [73][7930/9018]	Time 0.617 (0.632)	Data 0.001 (0.012)	Loss 1.8987 (1.6856)	Prec@1 49.000 (54.906)	Prec@5 80.000 (83.744)
Epoch: [73][7940/9018]	Time 1.123 (0.632)	Data 0.548 (0.012)	Loss 1.7566 (1.6856)	Prec@1 52.500 (54.906)	Prec@5 84.000 (83.743)
Epoch: [73][7950/9018]	Time 0.602 (0.633)	Data 0.001 (0.012)	Loss 1.6142 (1.6857)	Prec@1 56.500 (54.906)	Prec@5 88.000 (83.744)
Epoch: [73][7960/9018]	Time 1.174 (0.633)	Data 0.606 (0.012)	Loss 1.7516 (1.6857)	Prec@1 52.000 (54.906)	Prec@5 85.500 (83.744)
Epoch: [73][7970/9018]	Time 0.596 (0.633)	Data 0.001 (0.012)	Loss 1.8032 (1.6856)	Prec@1 54.000 (54.907)	Prec@5 78.500 (83.743)
Epoch: [73][7980/9018]	Time 0.830 (0.633)	Data 0.273 (0.012)	Loss 1.6651 (1.6857)	Prec@1 55.000 (54.906)	Prec@5 83.500 (83.742)
Epoch: [73][7990/9018]	Time 1.628 (0.633)	Data 1.066 (0.013)	Loss 1.8331 (1.6857)	Prec@1 52.000 (54.907)	Prec@5 78.500 (83.743)
Epoch: [73][8000/9018]	Time 0.777 (0.634)	Data 0.220 (0.013)	Loss 1.7532 (1.6857)	Prec@1 51.500 (54.905)	Prec@5 79.500 (83.744)
Epoch: [73][8010/9018]	Time 0.952 (0.634)	Data 0.402 (0.014)	Loss 1.8322 (1.6856)	Prec@1 50.000 (54.905)	Prec@5 81.000 (83.745)
Epoch: [73][8020/9018]	Time 1.033 (0.634)	Data 0.467 (0.014)	Loss 1.6775 (1.6856)	Prec@1 55.000 (54.908)	Prec@5 85.500 (83.745)
Epoch: [73][8030/9018]	Time 0.845 (0.634)	Data 0.273 (0.014)	Loss 1.7654 (1.6856)	Prec@1 52.500 (54.907)	Prec@5 81.500 (83.744)
Epoch: [73][8040/9018]	Time 1.047 (0.634)	Data 0.493 (0.014)	Loss 1.6220 (1.6857)	Prec@1 61.000 (54.907)	Prec@5 84.000 (83.744)
Epoch: [73][8050/9018]	Time 0.608 (0.635)	Data 0.001 (0.015)	Loss 1.9755 (1.6857)	Prec@1 47.500 (54.905)	Prec@5 79.500 (83.743)
Epoch: [73][8060/9018]	Time 1.194 (0.635)	Data 0.477 (0.015)	Loss 1.5094 (1.6856)	Prec@1 57.500 (54.907)	Prec@5 87.000 (83.745)
Epoch: [73][8070/9018]	Time 0.600 (0.635)	Data 0.012 (0.015)	Loss 1.5659 (1.6856)	Prec@1 53.500 (54.907)	Prec@5 84.500 (83.745)
Epoch: [73][8080/9018]	Time 1.095 (0.635)	Data 0.531 (0.015)	Loss 1.5847 (1.6856)	Prec@1 56.500 (54.906)	Prec@5 83.000 (83.745)
Epoch: [73][8090/9018]	Time 1.049 (0.636)	Data 0.491 (0.016)	Loss 1.6904 (1.6856)	Prec@1 53.500 (54.904)	Prec@5 80.500 (83.745)
Epoch: [73][8100/9018]	Time 1.244 (0.636)	Data 0.675 (0.016)	Loss 1.6006 (1.6856)	Prec@1 57.000 (54.905)	Prec@5 84.000 (83.746)
Epoch: [73][8110/9018]	Time 0.733 (0.636)	Data 0.001 (0.016)	Loss 1.6132 (1.6856)	Prec@1 57.000 (54.905)	Prec@5 87.500 (83.747)
Epoch: [73][8120/9018]	Time 1.444 (0.636)	Data 0.887 (0.016)	Loss 1.7226 (1.6856)	Prec@1 53.500 (54.903)	Prec@5 82.500 (83.746)
Epoch: [73][8130/9018]	Time 0.592 (0.636)	Data 0.001 (0.016)	Loss 1.7064 (1.6857)	Prec@1 52.500 (54.901)	Prec@5 86.000 (83.746)
Epoch: [73][8140/9018]	Time 1.065 (0.637)	Data 0.501 (0.017)	Loss 1.6580 (1.6858)	Prec@1 55.000 (54.900)	Prec@5 85.500 (83.743)
Epoch: [73][8150/9018]	Time 0.597 (0.637)	Data 0.001 (0.017)	Loss 1.8297 (1.6858)	Prec@1 49.500 (54.899)	Prec@5 82.000 (83.743)
Epoch: [73][8160/9018]	Time 1.142 (0.637)	Data 0.540 (0.017)	Loss 1.5694 (1.6857)	Prec@1 60.000 (54.901)	Prec@5 85.500 (83.745)
Epoch: [73][8170/9018]	Time 0.600 (0.637)	Data 0.001 (0.017)	Loss 1.6490 (1.6858)	Prec@1 55.500 (54.901)	Prec@5 84.000 (83.745)
Epoch: [73][8180/9018]	Time 1.097 (0.637)	Data 0.533 (0.018)	Loss 1.8483 (1.6858)	Prec@1 49.500 (54.899)	Prec@5 79.000 (83.745)
Epoch: [73][8190/9018]	Time 0.607 (0.637)	Data 0.001 (0.018)	Loss 1.8075 (1.6858)	Prec@1 51.000 (54.898)	Prec@5 79.500 (83.744)
Epoch: [73][8200/9018]	Time 1.094 (0.638)	Data 0.540 (0.018)	Loss 1.7475 (1.6859)	Prec@1 56.500 (54.897)	Prec@5 82.000 (83.744)
Epoch: [73][8210/9018]	Time 0.596 (0.638)	Data 0.001 (0.018)	Loss 1.7671 (1.6859)	Prec@1 48.500 (54.896)	Prec@5 84.000 (83.743)
Epoch: [73][8220/9018]	Time 1.149 (0.638)	Data 0.593 (0.018)	Loss 1.6993 (1.6859)	Prec@1 54.000 (54.895)	Prec@5 86.000 (83.743)
Epoch: [73][8230/9018]	Time 0.597 (0.638)	Data 0.001 (0.018)	Loss 1.5362 (1.6859)	Prec@1 59.000 (54.894)	Prec@5 82.000 (83.743)
Epoch: [73][8240/9018]	Time 1.047 (0.638)	Data 0.466 (0.018)	Loss 1.5654 (1.6859)	Prec@1 57.000 (54.894)	Prec@5 88.000 (83.743)
Epoch: [73][8250/9018]	Time 0.609 (0.638)	Data 0.001 (0.018)	Loss 1.7139 (1.6858)	Prec@1 55.500 (54.893)	Prec@5 82.000 (83.743)
Epoch: [73][8260/9018]	Time 1.410 (0.638)	Data 0.860 (0.019)	Loss 1.7470 (1.6859)	Prec@1 55.000 (54.892)	Prec@5 82.500 (83.742)
Epoch: [73][8270/9018]	Time 0.787 (0.638)	Data 0.230 (0.019)	Loss 1.5594 (1.6859)	Prec@1 56.000 (54.892)	Prec@5 86.000 (83.741)
Epoch: [73][8280/9018]	Time 1.512 (0.639)	Data 0.949 (0.019)	Loss 1.5803 (1.6858)	Prec@1 58.000 (54.893)	Prec@5 85.000 (83.742)
Epoch: [73][8290/9018]	Time 0.604 (0.639)	Data 0.001 (0.019)	Loss 1.6699 (1.6859)	Prec@1 55.000 (54.890)	Prec@5 84.000 (83.740)
Epoch: [73][8300/9018]	Time 1.330 (0.639)	Data 0.742 (0.019)	Loss 1.4699 (1.6860)	Prec@1 59.000 (54.889)	Prec@5 87.500 (83.739)
Epoch: [73][8310/9018]	Time 0.621 (0.639)	Data 0.001 (0.020)	Loss 1.9292 (1.6859)	Prec@1 51.500 (54.889)	Prec@5 79.500 (83.741)
Epoch: [73][8320/9018]	Time 0.610 (0.639)	Data 0.046 (0.020)	Loss 1.7375 (1.6859)	Prec@1 54.000 (54.889)	Prec@5 82.500 (83.741)
Epoch: [73][8330/9018]	Time 0.617 (0.639)	Data 0.001 (0.020)	Loss 1.9404 (1.6860)	Prec@1 49.500 (54.889)	Prec@5 79.000 (83.740)
Epoch: [73][8340/9018]	Time 0.600 (0.640)	Data 0.001 (0.020)	Loss 1.4697 (1.6859)	Prec@1 60.000 (54.891)	Prec@5 85.000 (83.740)
Epoch: [73][8350/9018]	Time 0.772 (0.640)	Data 0.218 (0.020)	Loss 1.5132 (1.6859)	Prec@1 55.000 (54.890)	Prec@5 89.500 (83.740)
Epoch: [73][8360/9018]	Time 0.595 (0.640)	Data 0.001 (0.021)	Loss 1.6714 (1.6859)	Prec@1 51.500 (54.888)	Prec@5 84.500 (83.740)
Epoch: [73][8370/9018]	Time 0.606 (0.640)	Data 0.001 (0.021)	Loss 1.7242 (1.6859)	Prec@1 53.000 (54.887)	Prec@5 80.500 (83.739)
Epoch: [73][8380/9018]	Time 1.168 (0.641)	Data 0.613 (0.022)	Loss 1.9492 (1.6860)	Prec@1 50.500 (54.886)	Prec@5 78.000 (83.738)
Epoch: [73][8390/9018]	Time 0.735 (0.641)	Data 0.001 (0.022)	Loss 1.8611 (1.6860)	Prec@1 54.500 (54.885)	Prec@5 80.000 (83.737)
Epoch: [73][8400/9018]	Time 1.473 (0.642)	Data 0.922 (0.022)	Loss 1.6992 (1.6860)	Prec@1 53.500 (54.885)	Prec@5 84.000 (83.737)
Epoch: [73][8410/9018]	Time 0.818 (0.642)	Data 0.264 (0.023)	Loss 1.8123 (1.6860)	Prec@1 52.500 (54.885)	Prec@5 82.000 (83.738)
Epoch: [73][8420/9018]	Time 0.601 (0.642)	Data 0.001 (0.023)	Loss 1.4977 (1.6859)	Prec@1 59.500 (54.886)	Prec@5 88.000 (83.740)
Epoch: [73][8430/9018]	Time 0.625 (0.643)	Data 0.001 (0.023)	Loss 1.6564 (1.6860)	Prec@1 57.000 (54.884)	Prec@5 85.000 (83.738)
Epoch: [73][8440/9018]	Time 0.703 (0.643)	Data 0.001 (0.024)	Loss 1.4584 (1.6860)	Prec@1 58.000 (54.884)	Prec@5 84.500 (83.738)
Epoch: [73][8450/9018]	Time 0.626 (0.643)	Data 0.001 (0.024)	Loss 1.6954 (1.6860)	Prec@1 56.000 (54.882)	Prec@5 85.500 (83.737)
Epoch: [73][8460/9018]	Time 0.602 (0.643)	Data 0.001 (0.024)	Loss 1.6664 (1.6860)	Prec@1 54.000 (54.882)	Prec@5 83.000 (83.737)
Epoch: [73][8470/9018]	Time 0.607 (0.644)	Data 0.001 (0.025)	Loss 1.5892 (1.6860)	Prec@1 55.500 (54.883)	Prec@5 87.000 (83.738)
Epoch: [73][8480/9018]	Time 0.617 (0.644)	Data 0.001 (0.025)	Loss 1.6119 (1.6860)	Prec@1 56.500 (54.883)	Prec@5 82.500 (83.737)
Epoch: [73][8490/9018]	Time 0.596 (0.644)	Data 0.001 (0.025)	Loss 1.8060 (1.6860)	Prec@1 53.500 (54.884)	Prec@5 82.500 (83.736)
Epoch: [73][8500/9018]	Time 0.594 (0.644)	Data 0.001 (0.025)	Loss 1.9079 (1.6860)	Prec@1 49.000 (54.883)	Prec@5 77.500 (83.734)
Epoch: [73][8510/9018]	Time 0.617 (0.645)	Data 0.001 (0.026)	Loss 1.9111 (1.6861)	Prec@1 51.000 (54.881)	Prec@5 79.000 (83.735)
Epoch: [73][8520/9018]	Time 0.612 (0.645)	Data 0.001 (0.026)	Loss 1.6756 (1.6860)	Prec@1 56.500 (54.881)	Prec@5 84.500 (83.736)
Epoch: [73][8530/9018]	Time 1.067 (0.645)	Data 0.511 (0.026)	Loss 1.5991 (1.6860)	Prec@1 59.000 (54.883)	Prec@5 86.000 (83.737)
Epoch: [73][8540/9018]	Time 0.612 (0.645)	Data 0.001 (0.026)	Loss 1.6071 (1.6860)	Prec@1 62.000 (54.883)	Prec@5 85.000 (83.737)
Epoch: [73][8550/9018]	Time 0.625 (0.645)	Data 0.001 (0.026)	Loss 2.0124 (1.6861)	Prec@1 49.500 (54.882)	Prec@5 76.000 (83.736)
Epoch: [73][8560/9018]	Time 0.590 (0.645)	Data 0.001 (0.027)	Loss 1.4784 (1.6862)	Prec@1 58.000 (54.879)	Prec@5 87.500 (83.736)
Epoch: [73][8570/9018]	Time 0.595 (0.646)	Data 0.001 (0.027)	Loss 1.7847 (1.6862)	Prec@1 54.000 (54.879)	Prec@5 80.000 (83.736)
Epoch: [73][8580/9018]	Time 0.604 (0.646)	Data 0.001 (0.027)	Loss 1.6770 (1.6862)	Prec@1 51.500 (54.878)	Prec@5 85.000 (83.734)
Epoch: [73][8590/9018]	Time 0.604 (0.646)	Data 0.001 (0.027)	Loss 1.9481 (1.6863)	Prec@1 52.000 (54.876)	Prec@5 76.500 (83.733)
Epoch: [73][8600/9018]	Time 0.846 (0.646)	Data 0.286 (0.027)	Loss 1.8126 (1.6863)	Prec@1 53.000 (54.878)	Prec@5 80.500 (83.734)
Epoch: [73][8610/9018]	Time 0.612 (0.646)	Data 0.001 (0.027)	Loss 1.7568 (1.6864)	Prec@1 58.000 (54.876)	Prec@5 81.500 (83.732)
Epoch: [73][8620/9018]	Time 0.801 (0.646)	Data 0.201 (0.027)	Loss 1.7621 (1.6864)	Prec@1 49.500 (54.874)	Prec@5 79.500 (83.731)
Epoch: [73][8630/9018]	Time 0.618 (0.646)	Data 0.001 (0.027)	Loss 1.6544 (1.6865)	Prec@1 56.500 (54.873)	Prec@5 87.000 (83.729)
Epoch: [73][8640/9018]	Time 0.628 (0.646)	Data 0.067 (0.027)	Loss 1.6773 (1.6865)	Prec@1 57.000 (54.871)	Prec@5 84.500 (83.729)
Epoch: [73][8650/9018]	Time 0.638 (0.646)	Data 0.001 (0.028)	Loss 1.7787 (1.6865)	Prec@1 49.500 (54.870)	Prec@5 84.000 (83.729)
Epoch: [73][8660/9018]	Time 0.595 (0.646)	Data 0.001 (0.028)	Loss 1.8791 (1.6865)	Prec@1 50.500 (54.870)	Prec@5 80.500 (83.728)
Epoch: [73][8670/9018]	Time 0.627 (0.646)	Data 0.001 (0.028)	Loss 1.7184 (1.6866)	Prec@1 57.000 (54.869)	Prec@5 85.500 (83.727)
Epoch: [73][8680/9018]	Time 0.610 (0.647)	Data 0.001 (0.028)	Loss 1.7218 (1.6866)	Prec@1 57.500 (54.870)	Prec@5 82.500 (83.726)
Epoch: [73][8690/9018]	Time 0.623 (0.647)	Data 0.001 (0.028)	Loss 1.9072 (1.6867)	Prec@1 49.000 (54.869)	Prec@5 81.000 (83.726)
Epoch: [73][8700/9018]	Time 0.986 (0.647)	Data 0.386 (0.028)	Loss 1.8525 (1.6867)	Prec@1 50.000 (54.869)	Prec@5 82.000 (83.726)
Epoch: [73][8710/9018]	Time 0.594 (0.647)	Data 0.001 (0.028)	Loss 1.7212 (1.6867)	Prec@1 55.000 (54.869)	Prec@5 85.000 (83.726)
Epoch: [73][8720/9018]	Time 1.079 (0.647)	Data 0.383 (0.028)	Loss 1.4675 (1.6867)	Prec@1 63.500 (54.871)	Prec@5 87.500 (83.726)
Epoch: [73][8730/9018]	Time 0.608 (0.647)	Data 0.001 (0.028)	Loss 1.6725 (1.6866)	Prec@1 57.000 (54.871)	Prec@5 82.500 (83.727)
Epoch: [73][8740/9018]	Time 0.864 (0.647)	Data 0.282 (0.029)	Loss 1.6392 (1.6866)	Prec@1 51.500 (54.872)	Prec@5 84.000 (83.728)
Epoch: [73][8750/9018]	Time 0.600 (0.647)	Data 0.001 (0.029)	Loss 1.8916 (1.6866)	Prec@1 50.000 (54.872)	Prec@5 81.000 (83.727)
Epoch: [73][8760/9018]	Time 0.603 (0.647)	Data 0.003 (0.029)	Loss 1.5137 (1.6865)	Prec@1 60.000 (54.873)	Prec@5 86.500 (83.729)
Epoch: [73][8770/9018]	Time 1.051 (0.647)	Data 0.373 (0.029)	Loss 1.7108 (1.6865)	Prec@1 54.000 (54.874)	Prec@5 84.000 (83.729)
Epoch: [73][8780/9018]	Time 0.666 (0.648)	Data 0.001 (0.029)	Loss 1.7767 (1.6865)	Prec@1 51.500 (54.873)	Prec@5 82.000 (83.729)
Epoch: [73][8790/9018]	Time 1.055 (0.648)	Data 0.494 (0.029)	Loss 1.5586 (1.6865)	Prec@1 57.000 (54.873)	Prec@5 85.000 (83.730)
Epoch: [73][8800/9018]	Time 0.601 (0.648)	Data 0.001 (0.029)	Loss 1.7947 (1.6865)	Prec@1 54.500 (54.874)	Prec@5 80.500 (83.729)
Epoch: [73][8810/9018]	Time 1.011 (0.648)	Data 0.450 (0.030)	Loss 1.4988 (1.6865)	Prec@1 59.500 (54.874)	Prec@5 85.000 (83.729)
Epoch: [73][8820/9018]	Time 0.611 (0.648)	Data 0.001 (0.030)	Loss 1.8491 (1.6866)	Prec@1 50.000 (54.873)	Prec@5 81.500 (83.727)
Epoch: [73][8830/9018]	Time 1.101 (0.648)	Data 0.523 (0.030)	Loss 1.8127 (1.6866)	Prec@1 51.500 (54.873)	Prec@5 81.000 (83.728)
Epoch: [73][8840/9018]	Time 1.135 (0.648)	Data 0.589 (0.030)	Loss 1.5816 (1.6866)	Prec@1 55.500 (54.873)	Prec@5 84.500 (83.729)
Epoch: [73][8850/9018]	Time 0.864 (0.648)	Data 0.272 (0.030)	Loss 1.8209 (1.6867)	Prec@1 54.500 (54.872)	Prec@5 82.500 (83.727)
Epoch: [73][8860/9018]	Time 1.018 (0.649)	Data 0.462 (0.030)	Loss 1.8102 (1.6867)	Prec@1 49.500 (54.872)	Prec@5 85.500 (83.727)
Epoch: [73][8870/9018]	Time 0.625 (0.649)	Data 0.001 (0.030)	Loss 1.8550 (1.6868)	Prec@1 53.000 (54.871)	Prec@5 80.000 (83.724)
Epoch: [73][8880/9018]	Time 0.846 (0.649)	Data 0.277 (0.031)	Loss 1.7127 (1.6868)	Prec@1 52.000 (54.871)	Prec@5 80.500 (83.723)
Epoch: [73][8890/9018]	Time 1.399 (0.649)	Data 0.847 (0.031)	Loss 1.8662 (1.6869)	Prec@1 54.000 (54.869)	Prec@5 81.000 (83.722)
Epoch: [73][8900/9018]	Time 0.600 (0.649)	Data 0.001 (0.031)	Loss 1.7119 (1.6869)	Prec@1 53.500 (54.868)	Prec@5 82.500 (83.721)
Epoch: [73][8910/9018]	Time 1.082 (0.649)	Data 0.518 (0.031)	Loss 1.9323 (1.6870)	Prec@1 49.000 (54.866)	Prec@5 80.500 (83.719)
Epoch: [73][8920/9018]	Time 0.614 (0.649)	Data 0.001 (0.031)	Loss 1.7790 (1.6870)	Prec@1 52.500 (54.868)	Prec@5 82.000 (83.720)
Epoch: [73][8930/9018]	Time 0.812 (0.649)	Data 0.247 (0.031)	Loss 1.6463 (1.6870)	Prec@1 55.000 (54.868)	Prec@5 83.500 (83.721)
Epoch: [73][8940/9018]	Time 0.605 (0.649)	Data 0.001 (0.031)	Loss 1.5519 (1.6870)	Prec@1 56.500 (54.868)	Prec@5 86.500 (83.720)
Epoch: [73][8950/9018]	Time 1.130 (0.650)	Data 0.570 (0.032)	Loss 1.6547 (1.6870)	Prec@1 53.500 (54.866)	Prec@5 85.000 (83.718)
Epoch: [73][8960/9018]	Time 0.604 (0.650)	Data 0.001 (0.032)	Loss 1.7921 (1.6870)	Prec@1 53.000 (54.866)	Prec@5 80.500 (83.718)
Epoch: [73][8970/9018]	Time 1.296 (0.650)	Data 0.726 (0.032)	Loss 1.7205 (1.6870)	Prec@1 51.500 (54.865)	Prec@5 83.000 (83.718)
Epoch: [73][8980/9018]	Time 0.608 (0.650)	Data 0.001 (0.032)	Loss 1.6703 (1.6870)	Prec@1 54.500 (54.865)	Prec@5 87.500 (83.719)
Epoch: [73][8990/9018]	Time 1.271 (0.650)	Data 0.668 (0.032)	Loss 1.5808 (1.6869)	Prec@1 51.000 (54.864)	Prec@5 86.500 (83.720)
Epoch: [73][9000/9018]	Time 0.602 (0.650)	Data 0.001 (0.032)	Loss 1.4453 (1.6869)	Prec@1 58.500 (54.865)	Prec@5 86.500 (83.721)
Epoch: [73][9010/9018]	Time 0.637 (0.650)	Data 0.023 (0.032)	Loss 1.6308 (1.6869)	Prec@1 56.000 (54.864)	Prec@5 84.000 (83.721)
Test: [0/183]	Time 1.511 (1.511)	Loss 2.4665 (2.4665)	Prec@1 34.000 (34.000)	Prec@5 72.500 (72.500)
Test: [10/183]	Time 0.205 (0.339)	Loss 1.4912 (1.6025)	Prec@1 64.000 (57.545)	Prec@5 86.500 (86.591)
Test: [20/183]	Time 0.180 (0.281)	Loss 2.0101 (1.5745)	Prec@1 47.000 (57.714)	Prec@5 79.500 (86.381)
Test: [30/183]	Time 0.211 (0.258)	Loss 2.2512 (1.6090)	Prec@1 32.000 (56.113)	Prec@5 78.500 (86.177)
Test: [40/183]	Time 0.190 (0.248)	Loss 2.1552 (1.6081)	Prec@1 40.000 (56.646)	Prec@5 79.000 (85.683)
Test: [50/183]	Time 0.202 (0.243)	Loss 1.4366 (1.5901)	Prec@1 60.000 (57.059)	Prec@5 88.500 (85.784)
Test: [60/183]	Time 0.214 (0.235)	Loss 2.0332 (1.6558)	Prec@1 46.500 (55.082)	Prec@5 77.500 (84.926)
Test: [70/183]	Time 0.196 (0.232)	Loss 1.6243 (1.6326)	Prec@1 56.500 (55.507)	Prec@5 87.000 (85.437)
Test: [80/183]	Time 0.199 (0.229)	Loss 1.3836 (1.6185)	Prec@1 60.000 (55.728)	Prec@5 93.000 (85.586)
Test: [90/183]	Time 0.179 (0.228)	Loss 2.2115 (1.6174)	Prec@1 41.000 (55.747)	Prec@5 75.500 (85.703)
Test: [100/183]	Time 0.208 (0.226)	Loss 0.7872 (1.6189)	Prec@1 76.000 (55.713)	Prec@5 95.000 (85.723)
Test: [110/183]	Time 0.214 (0.224)	Loss 0.7712 (1.6255)	Prec@1 81.500 (55.541)	Prec@5 96.000 (85.554)
Test: [120/183]	Time 0.237 (0.223)	Loss 1.9309 (1.6280)	Prec@1 47.500 (55.393)	Prec@5 79.500 (85.554)
Test: [130/183]	Time 0.190 (0.222)	Loss 2.8183 (1.6382)	Prec@1 22.500 (55.118)	Prec@5 74.000 (85.595)
Test: [140/183]	Time 0.193 (0.221)	Loss 1.4946 (1.6283)	Prec@1 63.000 (55.379)	Prec@5 88.000 (85.777)
Test: [150/183]	Time 0.182 (0.221)	Loss 0.5914 (1.6250)	Prec@1 83.000 (55.560)	Prec@5 98.500 (85.791)
Test: [160/183]	Time 0.191 (0.220)	Loss 1.7009 (1.6225)	Prec@1 51.500 (55.776)	Prec@5 85.000 (85.879)
Test: [170/183]	Time 0.210 (0.220)	Loss 2.0621 (1.6377)	Prec@1 37.500 (55.345)	Prec@5 84.500 (85.711)
Test: [180/183]	Time 0.192 (0.218)	Loss 1.9429 (1.6449)	Prec@1 48.000 (55.271)	Prec@5 82.500 (85.594)
 * Prec@1 55.236 Prec@5 85.575
Epoch: [74][0/9018]	Time 3.500 (3.500)	Data 2.835 (2.835)	Loss 1.5639 (1.5639)	Prec@1 56.500 (56.500)	Prec@5 87.000 (87.000)
Epoch: [74][10/9018]	Time 0.589 (0.868)	Data 0.001 (0.259)	Loss 1.5050 (1.6283)	Prec@1 57.000 (54.682)	Prec@5 88.000 (84.773)
Epoch: [74][20/9018]	Time 0.595 (0.757)	Data 0.001 (0.139)	Loss 1.7278 (1.6513)	Prec@1 56.000 (54.786)	Prec@5 86.000 (84.881)
Epoch: [74][30/9018]	Time 0.627 (0.709)	Data 0.001 (0.095)	Loss 1.5430 (1.6466)	Prec@1 57.500 (55.742)	Prec@5 87.000 (84.823)
Epoch: [74][40/9018]	Time 0.596 (0.689)	Data 0.001 (0.073)	Loss 1.5674 (1.6448)	Prec@1 54.500 (55.902)	Prec@5 85.500 (84.671)
Epoch: [74][50/9018]	Time 0.612 (0.677)	Data 0.001 (0.059)	Loss 1.5603 (1.6418)	Prec@1 57.000 (55.961)	Prec@5 85.500 (84.794)
Epoch: [74][60/9018]	Time 0.639 (0.668)	Data 0.001 (0.050)	Loss 1.7662 (1.6415)	Prec@1 54.500 (55.893)	Prec@5 81.000 (84.803)
Epoch: [74][70/9018]	Time 0.624 (0.663)	Data 0.001 (0.043)	Loss 1.6084 (1.6447)	Prec@1 59.000 (55.789)	Prec@5 86.500 (84.880)
Epoch: [74][80/9018]	Time 0.600 (0.658)	Data 0.001 (0.038)	Loss 1.5810 (1.6459)	Prec@1 58.500 (55.877)	Prec@5 84.500 (84.772)
Epoch: [74][90/9018]	Time 0.620 (0.655)	Data 0.001 (0.034)	Loss 1.7256 (1.6503)	Prec@1 58.000 (55.720)	Prec@5 83.500 (84.703)
Epoch: [74][100/9018]	Time 0.614 (0.652)	Data 0.001 (0.031)	Loss 1.5399 (1.6534)	Prec@1 60.500 (55.604)	Prec@5 84.000 (84.589)
Epoch: [74][110/9018]	Time 0.646 (0.649)	Data 0.001 (0.029)	Loss 1.7928 (1.6537)	Prec@1 53.500 (55.613)	Prec@5 80.000 (84.604)
Epoch: [74][120/9018]	Time 0.611 (0.647)	Data 0.001 (0.027)	Loss 1.5465 (1.6571)	Prec@1 60.500 (55.529)	Prec@5 87.500 (84.545)
Epoch: [74][130/9018]	Time 0.765 (0.645)	Data 0.001 (0.025)	Loss 1.6852 (1.6571)	Prec@1 51.500 (55.458)	Prec@5 82.500 (84.511)
Epoch: [74][140/9018]	Time 0.601 (0.644)	Data 0.001 (0.023)	Loss 1.6454 (1.6539)	Prec@1 54.500 (55.532)	Prec@5 86.000 (84.631)
Epoch: [74][150/9018]	Time 0.636 (0.643)	Data 0.001 (0.022)	Loss 1.6432 (1.6523)	Prec@1 55.000 (55.649)	Prec@5 83.000 (84.626)
Epoch: [74][160/9018]	Time 0.611 (0.641)	Data 0.001 (0.021)	Loss 1.5994 (1.6536)	Prec@1 57.500 (55.575)	Prec@5 86.000 (84.602)
Epoch: [74][170/9018]	Time 0.629 (0.641)	Data 0.001 (0.020)	Loss 1.8815 (1.6554)	Prec@1 48.000 (55.579)	Prec@5 83.000 (84.570)
Epoch: [74][180/9018]	Time 0.813 (0.640)	Data 0.016 (0.019)	Loss 1.6172 (1.6573)	Prec@1 57.500 (55.583)	Prec@5 84.500 (84.550)
Epoch: [74][190/9018]	Time 0.641 (0.639)	Data 0.001 (0.018)	Loss 1.3785 (1.6548)	Prec@1 62.000 (55.652)	Prec@5 89.500 (84.623)
Epoch: [74][200/9018]	Time 0.615 (0.639)	Data 0.001 (0.017)	Loss 1.6385 (1.6527)	Prec@1 55.000 (55.697)	Prec@5 83.500 (84.592)
Epoch: [74][210/9018]	Time 0.650 (0.638)	Data 0.001 (0.017)	Loss 1.7744 (1.6558)	Prec@1 53.500 (55.597)	Prec@5 85.500 (84.491)
Epoch: [74][220/9018]	Time 0.614 (0.637)	Data 0.001 (0.016)	Loss 1.5462 (1.6579)	Prec@1 59.000 (55.597)	Prec@5 86.000 (84.405)
Epoch: [74][230/9018]	Time 0.627 (0.637)	Data 0.001 (0.016)	Loss 1.7427 (1.6589)	Prec@1 55.500 (55.591)	Prec@5 81.500 (84.407)
Epoch: [74][240/9018]	Time 0.606 (0.637)	Data 0.001 (0.015)	Loss 1.7703 (1.6624)	Prec@1 51.500 (55.544)	Prec@5 84.500 (84.340)
Epoch: [74][250/9018]	Time 0.630 (0.636)	Data 0.001 (0.015)	Loss 1.7531 (1.6650)	Prec@1 56.000 (55.452)	Prec@5 85.000 (84.305)
Epoch: [74][260/9018]	Time 0.605 (0.635)	Data 0.011 (0.014)	Loss 1.7411 (1.6650)	Prec@1 58.500 (55.485)	Prec@5 86.000 (84.316)
Epoch: [74][270/9018]	Time 0.595 (0.635)	Data 0.001 (0.014)	Loss 1.4588 (1.6643)	Prec@1 59.500 (55.478)	Prec@5 87.000 (84.363)
Epoch: [74][280/9018]	Time 0.629 (0.635)	Data 0.014 (0.013)	Loss 1.4970 (1.6626)	Prec@1 57.000 (55.571)	Prec@5 88.500 (84.375)
Epoch: [74][290/9018]	Time 0.599 (0.634)	Data 0.001 (0.013)	Loss 1.9398 (1.6641)	Prec@1 49.000 (55.515)	Prec@5 78.500 (84.314)
Epoch: [74][300/9018]	Time 0.614 (0.634)	Data 0.001 (0.013)	Loss 1.5410 (1.6640)	Prec@1 57.500 (55.505)	Prec@5 91.000 (84.314)
Epoch: [74][310/9018]	Time 0.604 (0.633)	Data 0.001 (0.013)	Loss 1.7932 (1.6644)	Prec@1 51.500 (55.516)	Prec@5 82.000 (84.309)
Epoch: [74][320/9018]	Time 0.603 (0.633)	Data 0.001 (0.012)	Loss 1.6162 (1.6629)	Prec@1 54.500 (55.511)	Prec@5 84.000 (84.336)
Epoch: [74][330/9018]	Time 0.619 (0.633)	Data 0.001 (0.012)	Loss 1.5554 (1.6619)	Prec@1 57.000 (55.548)	Prec@5 87.000 (84.332)
Epoch: [74][340/9018]	Time 0.619 (0.632)	Data 0.001 (0.012)	Loss 1.7184 (1.6622)	Prec@1 56.000 (55.531)	Prec@5 84.000 (84.358)
Epoch: [74][350/9018]	Time 0.613 (0.632)	Data 0.005 (0.012)	Loss 1.7561 (1.6627)	Prec@1 56.500 (55.530)	Prec@5 83.500 (84.358)
Epoch: [74][360/9018]	Time 0.620 (0.631)	Data 0.001 (0.011)	Loss 1.7802 (1.6637)	Prec@1 53.500 (55.510)	Prec@5 85.500 (84.374)
Epoch: [74][370/9018]	Time 0.650 (0.632)	Data 0.001 (0.011)	Loss 1.7309 (1.6622)	Prec@1 54.000 (55.546)	Prec@5 84.000 (84.406)
Epoch: [74][380/9018]	Time 0.616 (0.631)	Data 0.002 (0.011)	Loss 1.7327 (1.6628)	Prec@1 56.000 (55.545)	Prec@5 83.000 (84.390)
Epoch: [74][390/9018]	Time 0.662 (0.631)	Data 0.001 (0.011)	Loss 1.5950 (1.6625)	Prec@1 57.000 (55.535)	Prec@5 85.500 (84.386)
Epoch: [74][400/9018]	Time 0.603 (0.631)	Data 0.001 (0.010)	Loss 1.6405 (1.6625)	Prec@1 55.500 (55.510)	Prec@5 84.000 (84.395)
Epoch: [74][410/9018]	Time 0.620 (0.630)	Data 0.001 (0.010)	Loss 1.7400 (1.6623)	Prec@1 57.500 (55.498)	Prec@5 80.500 (84.395)
Epoch: [74][420/9018]	Time 0.602 (0.630)	Data 0.001 (0.010)	Loss 1.7191 (1.6626)	Prec@1 54.500 (55.496)	Prec@5 82.500 (84.387)
Epoch: [74][430/9018]	Time 0.635 (0.630)	Data 0.001 (0.010)	Loss 1.7371 (1.6631)	Prec@1 54.000 (55.486)	Prec@5 85.000 (84.390)
Epoch: [74][440/9018]	Time 0.606 (0.630)	Data 0.001 (0.010)	Loss 1.6121 (1.6627)	Prec@1 54.000 (55.514)	Prec@5 87.000 (84.391)
Epoch: [74][450/9018]	Time 0.603 (0.630)	Data 0.001 (0.010)	Loss 1.8262 (1.6631)	Prec@1 51.500 (55.507)	Prec@5 81.500 (84.387)
Epoch: [74][460/9018]	Time 0.744 (0.630)	Data 0.001 (0.010)	Loss 1.6795 (1.6638)	Prec@1 56.000 (55.490)	Prec@5 84.000 (84.373)
Epoch: [74][470/9018]	Time 0.641 (0.630)	Data 0.001 (0.009)	Loss 1.6932 (1.6646)	Prec@1 58.000 (55.466)	Prec@5 82.000 (84.344)
Epoch: [74][480/9018]	Time 0.617 (0.630)	Data 0.010 (0.009)	Loss 1.6345 (1.6652)	Prec@1 55.500 (55.431)	Prec@5 88.000 (84.349)
Epoch: [74][490/9018]	Time 0.628 (0.630)	Data 0.001 (0.009)	Loss 1.6627 (1.6653)	Prec@1 52.000 (55.413)	Prec@5 86.500 (84.348)
Epoch: [74][500/9018]	Time 0.624 (0.630)	Data 0.017 (0.009)	Loss 1.8774 (1.6669)	Prec@1 55.000 (55.374)	Prec@5 82.000 (84.327)
Epoch: [74][510/9018]	Time 0.766 (0.630)	Data 0.001 (0.009)	Loss 1.5932 (1.6662)	Prec@1 59.000 (55.410)	Prec@5 83.500 (84.327)
Epoch: [74][520/9018]	Time 0.610 (0.630)	Data 0.001 (0.009)	Loss 1.4827 (1.6660)	Prec@1 58.500 (55.421)	Prec@5 87.000 (84.332)
Epoch: [74][530/9018]	Time 0.602 (0.630)	Data 0.001 (0.009)	Loss 1.7392 (1.6661)	Prec@1 51.500 (55.427)	Prec@5 83.500 (84.315)
Epoch: [74][540/9018]	Time 0.638 (0.630)	Data 0.001 (0.009)	Loss 1.7713 (1.6647)	Prec@1 52.000 (55.455)	Prec@5 82.500 (84.319)
Epoch: [74][550/9018]	Time 0.612 (0.630)	Data 0.015 (0.009)	Loss 1.7813 (1.6661)	Prec@1 53.500 (55.419)	Prec@5 84.500 (84.297)
Epoch: [74][560/9018]	Time 0.630 (0.630)	Data 0.001 (0.009)	Loss 1.8569 (1.6668)	Prec@1 52.000 (55.414)	Prec@5 82.500 (84.283)
Epoch: [74][570/9018]	Time 0.600 (0.630)	Data 0.001 (0.008)	Loss 1.9046 (1.6675)	Prec@1 51.500 (55.423)	Prec@5 80.000 (84.250)
Epoch: [74][580/9018]	Time 0.612 (0.629)	Data 0.001 (0.008)	Loss 1.5346 (1.6679)	Prec@1 56.500 (55.400)	Prec@5 83.500 (84.238)
Epoch: [74][590/9018]	Time 0.618 (0.629)	Data 0.001 (0.008)	Loss 1.7714 (1.6674)	Prec@1 54.500 (55.409)	Prec@5 82.000 (84.265)
Epoch: [74][600/9018]	Time 0.616 (0.629)	Data 0.001 (0.008)	Loss 1.6378 (1.6667)	Prec@1 54.500 (55.436)	Prec@5 82.500 (84.265)
Epoch: [74][610/9018]	Time 0.624 (0.629)	Data 0.001 (0.008)	Loss 1.7473 (1.6664)	Prec@1 54.500 (55.423)	Prec@5 85.500 (84.273)
Epoch: [74][620/9018]	Time 0.616 (0.629)	Data 0.014 (0.008)	Loss 1.7174 (1.6665)	Prec@1 57.000 (55.424)	Prec@5 84.000 (84.269)
Epoch: [74][630/9018]	Time 0.618 (0.629)	Data 0.001 (0.008)	Loss 1.6423 (1.6661)	Prec@1 55.000 (55.423)	Prec@5 84.500 (84.272)
Epoch: [74][640/9018]	Time 0.603 (0.629)	Data 0.001 (0.008)	Loss 1.5770 (1.6654)	Prec@1 58.000 (55.436)	Prec@5 85.000 (84.275)
Epoch: [74][650/9018]	Time 0.609 (0.629)	Data 0.001 (0.008)	Loss 1.5565 (1.6651)	Prec@1 56.000 (55.429)	Prec@5 83.000 (84.280)
Epoch: [74][660/9018]	Time 0.602 (0.629)	Data 0.001 (0.008)	Loss 1.7562 (1.6658)	Prec@1 51.500 (55.405)	Prec@5 85.000 (84.281)
Epoch: [74][670/9018]	Time 0.605 (0.628)	Data 0.005 (0.008)	Loss 1.4862 (1.6654)	Prec@1 61.000 (55.420)	Prec@5 88.000 (84.277)
Epoch: [74][680/9018]	Time 0.616 (0.628)	Data 0.001 (0.007)	Loss 1.6681 (1.6651)	Prec@1 55.000 (55.439)	Prec@5 82.500 (84.268)
Epoch: [74][690/9018]	Time 0.639 (0.628)	Data 0.001 (0.007)	Loss 1.8452 (1.6655)	Prec@1 54.000 (55.426)	Prec@5 78.000 (84.258)
Epoch: [74][700/9018]	Time 0.620 (0.628)	Data 0.001 (0.007)	Loss 1.6333 (1.6664)	Prec@1 55.000 (55.402)	Prec@5 82.500 (84.235)
Epoch: [74][710/9018]	Time 0.634 (0.628)	Data 0.004 (0.007)	Loss 1.9054 (1.6675)	Prec@1 53.000 (55.393)	Prec@5 78.500 (84.222)
Epoch: [74][720/9018]	Time 0.598 (0.628)	Data 0.001 (0.007)	Loss 1.7821 (1.6684)	Prec@1 57.000 (55.370)	Prec@5 80.500 (84.205)
Epoch: [74][730/9018]	Time 0.595 (0.628)	Data 0.001 (0.007)	Loss 1.6788 (1.6681)	Prec@1 56.500 (55.387)	Prec@5 83.000 (84.198)
Epoch: [74][740/9018]	Time 0.623 (0.628)	Data 0.001 (0.007)	Loss 1.5514 (1.6673)	Prec@1 61.000 (55.413)	Prec@5 83.000 (84.202)
Epoch: [74][750/9018]	Time 0.646 (0.628)	Data 0.001 (0.007)	Loss 1.5540 (1.6678)	Prec@1 58.000 (55.388)	Prec@5 86.000 (84.193)
Epoch: [74][760/9018]	Time 0.619 (0.628)	Data 0.016 (0.007)	Loss 1.5162 (1.6674)	Prec@1 62.500 (55.396)	Prec@5 86.000 (84.205)
Epoch: [74][770/9018]	Time 0.611 (0.627)	Data 0.001 (0.007)	Loss 1.5334 (1.6665)	Prec@1 61.500 (55.405)	Prec@5 84.500 (84.224)
Epoch: [74][780/9018]	Time 0.607 (0.628)	Data 0.014 (0.007)	Loss 1.5587 (1.6668)	Prec@1 56.000 (55.404)	Prec@5 88.000 (84.216)
Epoch: [74][790/9018]	Time 0.761 (0.628)	Data 0.001 (0.007)	Loss 1.8109 (1.6673)	Prec@1 53.000 (55.405)	Prec@5 83.000 (84.212)
Epoch: [74][800/9018]	Time 0.645 (0.627)	Data 0.001 (0.007)	Loss 1.7261 (1.6672)	Prec@1 55.000 (55.410)	Prec@5 82.500 (84.218)
Epoch: [74][810/9018]	Time 0.612 (0.627)	Data 0.027 (0.007)	Loss 1.7189 (1.6668)	Prec@1 50.500 (55.409)	Prec@5 82.500 (84.226)
Epoch: [74][820/9018]	Time 0.619 (0.627)	Data 0.001 (0.007)	Loss 1.6529 (1.6663)	Prec@1 60.000 (55.421)	Prec@5 84.000 (84.243)
Epoch: [74][830/9018]	Time 0.605 (0.627)	Data 0.001 (0.007)	Loss 1.7007 (1.6673)	Prec@1 54.500 (55.389)	Prec@5 86.000 (84.228)
Epoch: [74][840/9018]	Time 0.754 (0.627)	Data 0.001 (0.007)	Loss 1.7643 (1.6680)	Prec@1 53.000 (55.380)	Prec@5 85.500 (84.216)
Epoch: [74][850/9018]	Time 0.609 (0.627)	Data 0.001 (0.007)	Loss 1.6205 (1.6675)	Prec@1 58.500 (55.404)	Prec@5 83.000 (84.220)
Epoch: [74][860/9018]	Time 0.622 (0.627)	Data 0.001 (0.007)	Loss 1.5229 (1.6677)	Prec@1 59.000 (55.402)	Prec@5 86.500 (84.221)
Epoch: [74][870/9018]	Time 0.653 (0.627)	Data 0.013 (0.006)	Loss 1.6325 (1.6674)	Prec@1 61.500 (55.409)	Prec@5 80.500 (84.220)
Epoch: [74][880/9018]	Time 0.607 (0.627)	Data 0.001 (0.006)	Loss 1.6301 (1.6672)	Prec@1 56.500 (55.421)	Prec@5 81.500 (84.209)
Epoch: [74][890/9018]	Time 0.642 (0.627)	Data 0.001 (0.006)	Loss 1.8584 (1.6672)	Prec@1 49.500 (55.438)	Prec@5 81.000 (84.200)
Epoch: [74][900/9018]	Time 0.594 (0.627)	Data 0.001 (0.006)	Loss 1.5409 (1.6667)	Prec@1 60.000 (55.443)	Prec@5 87.000 (84.206)
Epoch: [74][910/9018]	Time 0.609 (0.627)	Data 0.001 (0.006)	Loss 1.5892 (1.6666)	Prec@1 54.500 (55.444)	Prec@5 86.000 (84.214)
Epoch: [74][920/9018]	Time 0.612 (0.627)	Data 0.001 (0.006)	Loss 1.5332 (1.6669)	Prec@1 59.000 (55.431)	Prec@5 88.000 (84.212)
Epoch: [74][930/9018]	Time 0.625 (0.627)	Data 0.001 (0.006)	Loss 1.6558 (1.6671)	Prec@1 55.000 (55.431)	Prec@5 82.000 (84.205)
Epoch: [74][940/9018]	Time 0.619 (0.627)	Data 0.001 (0.006)	Loss 1.5059 (1.6664)	Prec@1 61.000 (55.441)	Prec@5 82.500 (84.213)
Epoch: [74][950/9018]	Time 0.604 (0.626)	Data 0.009 (0.006)	Loss 1.6584 (1.6667)	Prec@1 56.500 (55.442)	Prec@5 84.500 (84.198)
Epoch: [74][960/9018]	Time 0.625 (0.627)	Data 0.001 (0.006)	Loss 1.5316 (1.6661)	Prec@1 58.000 (55.451)	Prec@5 87.500 (84.209)
Epoch: [74][970/9018]	Time 0.607 (0.626)	Data 0.001 (0.006)	Loss 1.3908 (1.6658)	Prec@1 65.000 (55.459)	Prec@5 87.000 (84.209)
Epoch: [74][980/9018]	Time 0.602 (0.626)	Data 0.001 (0.006)	Loss 1.5026 (1.6653)	Prec@1 56.000 (55.468)	Prec@5 86.500 (84.207)
Epoch: [74][990/9018]	Time 0.616 (0.626)	Data 0.001 (0.006)	Loss 1.6909 (1.6656)	Prec@1 54.500 (55.459)	Prec@5 83.000 (84.203)
Epoch: [74][1000/9018]	Time 0.606 (0.626)	Data 0.001 (0.006)	Loss 1.6328 (1.6654)	Prec@1 54.500 (55.460)	Prec@5 80.500 (84.197)
Epoch: [74][1010/9018]	Time 0.619 (0.626)	Data 0.014 (0.006)	Loss 1.5433 (1.6657)	Prec@1 58.000 (55.457)	Prec@5 86.000 (84.190)
Epoch: [74][1020/9018]	Time 0.621 (0.626)	Data 0.015 (0.006)	Loss 1.5265 (1.6661)	Prec@1 61.000 (55.447)	Prec@5 86.000 (84.181)
Epoch: [74][1030/9018]	Time 0.619 (0.626)	Data 0.001 (0.006)	Loss 1.5490 (1.6657)	Prec@1 60.500 (55.452)	Prec@5 84.000 (84.187)
Epoch: [74][1040/9018]	Time 0.622 (0.626)	Data 0.001 (0.006)	Loss 1.5544 (1.6656)	Prec@1 52.000 (55.450)	Prec@5 89.000 (84.192)
Epoch: [74][1050/9018]	Time 0.649 (0.626)	Data 0.001 (0.006)	Loss 1.5972 (1.6663)	Prec@1 56.500 (55.436)	Prec@5 87.500 (84.189)
Epoch: [74][1060/9018]	Time 0.600 (0.626)	Data 0.001 (0.006)	Loss 1.7734 (1.6663)	Prec@1 51.000 (55.426)	Prec@5 83.000 (84.184)
Epoch: [74][1070/9018]	Time 0.626 (0.626)	Data 0.001 (0.006)	Loss 1.6773 (1.6660)	Prec@1 53.500 (55.416)	Prec@5 84.000 (84.185)
Epoch: [74][1080/9018]	Time 0.616 (0.626)	Data 0.013 (0.006)	Loss 1.6780 (1.6667)	Prec@1 54.000 (55.394)	Prec@5 85.500 (84.176)
Epoch: [74][1090/9018]	Time 0.603 (0.626)	Data 0.001 (0.006)	Loss 1.9181 (1.6673)	Prec@1 50.000 (55.381)	Prec@5 77.500 (84.162)
Epoch: [74][1100/9018]	Time 0.631 (0.626)	Data 0.001 (0.006)	Loss 1.5777 (1.6671)	Prec@1 55.000 (55.384)	Prec@5 85.000 (84.156)
Epoch: [74][1110/9018]	Time 0.612 (0.626)	Data 0.006 (0.006)	Loss 1.6148 (1.6676)	Prec@1 56.500 (55.377)	Prec@5 86.000 (84.147)
Epoch: [74][1120/9018]	Time 0.761 (0.626)	Data 0.014 (0.006)	Loss 1.6881 (1.6676)	Prec@1 53.000 (55.382)	Prec@5 85.000 (84.152)
Epoch: [74][1130/9018]	Time 0.605 (0.626)	Data 0.001 (0.006)	Loss 1.8306 (1.6676)	Prec@1 55.000 (55.375)	Prec@5 78.500 (84.151)
Epoch: [74][1140/9018]	Time 0.606 (0.626)	Data 0.013 (0.006)	Loss 1.8177 (1.6676)	Prec@1 51.500 (55.373)	Prec@5 81.000 (84.142)
Epoch: [74][1150/9018]	Time 0.617 (0.626)	Data 0.001 (0.006)	Loss 1.7410 (1.6676)	Prec@1 57.000 (55.380)	Prec@5 82.500 (84.137)
Epoch: [74][1160/9018]	Time 0.629 (0.626)	Data 0.001 (0.006)	Loss 1.5351 (1.6677)	Prec@1 55.500 (55.367)	Prec@5 87.500 (84.132)
Epoch: [74][1170/9018]	Time 0.752 (0.626)	Data 0.001 (0.006)	Loss 1.7162 (1.6680)	Prec@1 51.500 (55.359)	Prec@5 85.000 (84.123)
Epoch: [74][1180/9018]	Time 0.619 (0.626)	Data 0.001 (0.006)	Loss 1.8879 (1.6685)	Prec@1 55.000 (55.346)	Prec@5 79.000 (84.118)
Epoch: [74][1190/9018]	Time 0.621 (0.626)	Data 0.007 (0.006)	Loss 1.5716 (1.6689)	Prec@1 60.500 (55.337)	Prec@5 86.000 (84.109)
Epoch: [74][1200/9018]	Time 0.624 (0.626)	Data 0.001 (0.006)	Loss 1.6041 (1.6688)	Prec@1 55.500 (55.340)	Prec@5 84.500 (84.101)
Epoch: [74][1210/9018]	Time 0.631 (0.626)	Data 0.001 (0.006)	Loss 1.4138 (1.6687)	Prec@1 61.500 (55.343)	Prec@5 90.000 (84.109)
Epoch: [74][1220/9018]	Time 0.658 (0.626)	Data 0.011 (0.006)	Loss 1.7969 (1.6686)	Prec@1 54.500 (55.338)	Prec@5 82.000 (84.113)
Epoch: [74][1230/9018]	Time 0.598 (0.626)	Data 0.001 (0.006)	Loss 1.5872 (1.6687)	Prec@1 57.500 (55.344)	Prec@5 86.500 (84.109)
Epoch: [74][1240/9018]	Time 0.597 (0.626)	Data 0.001 (0.005)	Loss 1.8335 (1.6684)	Prec@1 51.000 (55.334)	Prec@5 80.000 (84.109)
Epoch: [74][1250/9018]	Time 0.626 (0.626)	Data 0.016 (0.005)	Loss 1.8314 (1.6689)	Prec@1 50.500 (55.318)	Prec@5 80.500 (84.102)
Epoch: [74][1260/9018]	Time 0.637 (0.626)	Data 0.017 (0.005)	Loss 1.8486 (1.6697)	Prec@1 48.000 (55.291)	Prec@5 78.500 (84.087)
Epoch: [74][1270/9018]	Time 0.648 (0.626)	Data 0.001 (0.005)	Loss 1.5443 (1.6700)	Prec@1 58.500 (55.281)	Prec@5 89.000 (84.082)
Epoch: [74][1280/9018]	Time 0.611 (0.626)	Data 0.003 (0.005)	Loss 1.8497 (1.6702)	Prec@1 51.500 (55.280)	Prec@5 80.000 (84.073)
Epoch: [74][1290/9018]	Time 0.622 (0.626)	Data 0.001 (0.005)	Loss 1.6267 (1.6697)	Prec@1 58.500 (55.296)	Prec@5 84.500 (84.086)
Epoch: [74][1300/9018]	Time 0.624 (0.626)	Data 0.005 (0.005)	Loss 1.5319 (1.6696)	Prec@1 57.500 (55.294)	Prec@5 88.500 (84.088)
Epoch: [74][1310/9018]	Time 0.590 (0.626)	Data 0.010 (0.005)	Loss 1.6696 (1.6701)	Prec@1 52.500 (55.278)	Prec@5 85.000 (84.077)
Epoch: [74][1320/9018]	Time 0.625 (0.626)	Data 0.001 (0.005)	Loss 1.7178 (1.6699)	Prec@1 53.500 (55.281)	Prec@5 83.500 (84.075)
Epoch: [74][1330/9018]	Time 0.641 (0.626)	Data 0.001 (0.005)	Loss 1.8269 (1.6698)	Prec@1 52.500 (55.282)	Prec@5 83.000 (84.074)
Epoch: [74][1340/9018]	Time 0.610 (0.626)	Data 0.016 (0.005)	Loss 1.7507 (1.6700)	Prec@1 53.500 (55.277)	Prec@5 82.500 (84.074)
Epoch: [74][1350/9018]	Time 0.664 (0.626)	Data 0.001 (0.005)	Loss 1.8317 (1.6703)	Prec@1 50.500 (55.270)	Prec@5 83.000 (84.074)
Epoch: [74][1360/9018]	Time 0.593 (0.626)	Data 0.001 (0.005)	Loss 1.5034 (1.6705)	Prec@1 57.000 (55.267)	Prec@5 88.000 (84.063)
Epoch: [74][1370/9018]	Time 0.665 (0.626)	Data 0.013 (0.005)	Loss 1.6800 (1.6706)	Prec@1 56.000 (55.270)	Prec@5 84.500 (84.057)
Epoch: [74][1380/9018]	Time 0.608 (0.626)	Data 0.001 (0.005)	Loss 1.7461 (1.6711)	Prec@1 54.500 (55.256)	Prec@5 83.500 (84.043)
Epoch: [74][1390/9018]	Time 0.637 (0.626)	Data 0.001 (0.005)	Loss 1.6857 (1.6710)	Prec@1 53.500 (55.259)	Prec@5 83.000 (84.046)
Epoch: [74][1400/9018]	Time 0.650 (0.626)	Data 0.001 (0.005)	Loss 1.9306 (1.6712)	Prec@1 53.500 (55.252)	Prec@5 79.500 (84.040)
Epoch: [74][1410/9018]	Time 0.626 (0.626)	Data 0.001 (0.005)	Loss 1.5661 (1.6712)	Prec@1 55.500 (55.240)	Prec@5 86.000 (84.038)
Epoch: [74][1420/9018]	Time 0.595 (0.626)	Data 0.001 (0.005)	Loss 1.6897 (1.6711)	Prec@1 52.000 (55.240)	Prec@5 85.500 (84.038)
Epoch: [74][1430/9018]	Time 0.617 (0.626)	Data 0.001 (0.005)	Loss 1.5940 (1.6705)	Prec@1 56.000 (55.253)	Prec@5 87.000 (84.049)
Epoch: [74][1440/9018]	Time 0.613 (0.626)	Data 0.001 (0.005)	Loss 1.6201 (1.6707)	Prec@1 55.000 (55.245)	Prec@5 84.500 (84.045)
Epoch: [74][1450/9018]	Time 0.732 (0.626)	Data 0.001 (0.005)	Loss 1.6866 (1.6708)	Prec@1 54.000 (55.238)	Prec@5 82.000 (84.041)
Epoch: [74][1460/9018]	Time 0.611 (0.626)	Data 0.017 (0.005)	Loss 1.5176 (1.6708)	Prec@1 62.500 (55.229)	Prec@5 87.000 (84.046)
Epoch: [74][1470/9018]	Time 0.606 (0.626)	Data 0.001 (0.005)	Loss 1.4276 (1.6706)	Prec@1 62.500 (55.234)	Prec@5 88.500 (84.049)
Epoch: [74][1480/9018]	Time 0.610 (0.626)	Data 0.001 (0.005)	Loss 1.4412 (1.6702)	Prec@1 66.000 (55.249)	Prec@5 88.500 (84.059)
Epoch: [74][1490/9018]	Time 0.624 (0.626)	Data 0.001 (0.005)	Loss 1.8019 (1.6700)	Prec@1 53.000 (55.258)	Prec@5 80.000 (84.065)
Epoch: [74][1500/9018]	Time 0.767 (0.626)	Data 0.001 (0.005)	Loss 1.5866 (1.6695)	Prec@1 56.000 (55.266)	Prec@5 86.000 (84.069)
Epoch: [74][1510/9018]	Time 0.605 (0.626)	Data 0.001 (0.005)	Loss 1.8710 (1.6697)	Prec@1 49.000 (55.257)	Prec@5 78.500 (84.060)
Epoch: [74][1520/9018]	Time 0.605 (0.626)	Data 0.001 (0.005)	Loss 1.6725 (1.6697)	Prec@1 56.500 (55.254)	Prec@5 82.500 (84.060)
Epoch: [74][1530/9018]	Time 0.616 (0.626)	Data 0.001 (0.005)	Loss 1.9522 (1.6698)	Prec@1 49.500 (55.254)	Prec@5 81.000 (84.060)
Epoch: [74][1540/9018]	Time 0.603 (0.626)	Data 0.001 (0.005)	Loss 1.5965 (1.6701)	Prec@1 59.000 (55.250)	Prec@5 85.500 (84.054)
Epoch: [74][1550/9018]	Time 0.640 (0.626)	Data 0.001 (0.005)	Loss 1.6457 (1.6703)	Prec@1 54.000 (55.247)	Prec@5 84.000 (84.051)
Epoch: [74][1560/9018]	Time 0.621 (0.626)	Data 0.001 (0.005)	Loss 1.6787 (1.6701)	Prec@1 51.500 (55.261)	Prec@5 85.000 (84.057)
Epoch: [74][1570/9018]	Time 0.608 (0.626)	Data 0.001 (0.005)	Loss 1.6215 (1.6702)	Prec@1 58.000 (55.262)	Prec@5 84.000 (84.052)
Epoch: [74][1580/9018]	Time 0.626 (0.625)	Data 0.001 (0.005)	Loss 1.6660 (1.6703)	Prec@1 54.000 (55.260)	Prec@5 83.500 (84.045)
Epoch: [74][1590/9018]	Time 0.624 (0.625)	Data 0.001 (0.005)	Loss 1.7060 (1.6707)	Prec@1 53.500 (55.248)	Prec@5 83.000 (84.038)
Epoch: [74][1600/9018]	Time 0.610 (0.626)	Data 0.001 (0.005)	Loss 1.3955 (1.6702)	Prec@1 62.000 (55.259)	Prec@5 87.500 (84.045)
Epoch: [74][1610/9018]	Time 0.636 (0.625)	Data 0.001 (0.005)	Loss 1.8008 (1.6701)	Prec@1 51.000 (55.253)	Prec@5 80.500 (84.045)
Epoch: [74][1620/9018]	Time 0.617 (0.626)	Data 0.001 (0.005)	Loss 1.5825 (1.6704)	Prec@1 54.000 (55.247)	Prec@5 85.500 (84.033)
Epoch: [74][1630/9018]	Time 0.619 (0.625)	Data 0.013 (0.005)	Loss 1.7426 (1.6704)	Prec@1 58.000 (55.255)	Prec@5 81.000 (84.029)
Epoch: [74][1640/9018]	Time 0.609 (0.626)	Data 0.001 (0.005)	Loss 1.7254 (1.6706)	Prec@1 52.500 (55.242)	Prec@5 83.500 (84.030)
Epoch: [74][1650/9018]	Time 0.599 (0.625)	Data 0.001 (0.005)	Loss 1.6271 (1.6706)	Prec@1 57.500 (55.243)	Prec@5 84.000 (84.021)
Epoch: [74][1660/9018]	Time 0.630 (0.625)	Data 0.001 (0.005)	Loss 1.5598 (1.6708)	Prec@1 56.000 (55.236)	Prec@5 88.500 (84.022)
Epoch: [74][1670/9018]	Time 0.603 (0.625)	Data 0.001 (0.005)	Loss 1.7238 (1.6708)	Prec@1 52.000 (55.229)	Prec@5 83.000 (84.025)
Epoch: [74][1680/9018]	Time 0.596 (0.625)	Data 0.016 (0.005)	Loss 1.7489 (1.6711)	Prec@1 51.500 (55.220)	Prec@5 82.000 (84.018)
Epoch: [74][1690/9018]	Time 0.641 (0.625)	Data 0.001 (0.005)	Loss 1.5885 (1.6711)	Prec@1 59.000 (55.224)	Prec@5 84.500 (84.017)
Epoch: [74][1700/9018]	Time 0.596 (0.625)	Data 0.015 (0.005)	Loss 1.6220 (1.6708)	Prec@1 56.500 (55.243)	Prec@5 84.000 (84.017)
Epoch: [74][1710/9018]	Time 0.612 (0.625)	Data 0.001 (0.005)	Loss 1.7428 (1.6708)	Prec@1 51.500 (55.248)	Prec@5 82.500 (84.015)
Epoch: [74][1720/9018]	Time 0.616 (0.625)	Data 0.001 (0.005)	Loss 1.4834 (1.6710)	Prec@1 60.500 (55.250)	Prec@5 88.000 (84.017)
Epoch: [74][1730/9018]	Time 0.602 (0.625)	Data 0.001 (0.005)	Loss 1.8448 (1.6710)	Prec@1 49.500 (55.248)	Prec@5 82.500 (84.013)
Epoch: [74][1740/9018]	Time 0.634 (0.625)	Data 0.001 (0.005)	Loss 1.6310 (1.6709)	Prec@1 56.000 (55.250)	Prec@5 85.500 (84.012)
Epoch: [74][1750/9018]	Time 0.610 (0.625)	Data 0.001 (0.005)	Loss 1.6498 (1.6706)	Prec@1 52.000 (55.252)	Prec@5 84.500 (84.017)
Epoch: [74][1760/9018]	Time 0.598 (0.625)	Data 0.001 (0.005)	Loss 1.6439 (1.6705)	Prec@1 58.500 (55.261)	Prec@5 83.000 (84.020)
Epoch: [74][1770/9018]	Time 0.619 (0.625)	Data 0.001 (0.005)	Loss 1.7167 (1.6704)	Prec@1 51.000 (55.261)	Prec@5 84.500 (84.025)
Epoch: [74][1780/9018]	Time 0.764 (0.625)	Data 0.001 (0.005)	Loss 1.5633 (1.6705)	Prec@1 57.500 (55.263)	Prec@5 84.500 (84.024)
Epoch: [74][1790/9018]	Time 0.642 (0.625)	Data 0.001 (0.005)	Loss 1.6508 (1.6707)	Prec@1 56.500 (55.257)	Prec@5 82.500 (84.018)
Epoch: [74][1800/9018]	Time 0.616 (0.625)	Data 0.005 (0.005)	Loss 1.7436 (1.6707)	Prec@1 54.000 (55.255)	Prec@5 82.000 (84.013)
Epoch: [74][1810/9018]	Time 0.603 (0.625)	Data 0.001 (0.005)	Loss 1.4929 (1.6704)	Prec@1 58.500 (55.262)	Prec@5 88.000 (84.017)
Epoch: [74][1820/9018]	Time 0.609 (0.625)	Data 0.001 (0.005)	Loss 1.5625 (1.6703)	Prec@1 56.000 (55.259)	Prec@5 84.500 (84.023)
Epoch: [74][1830/9018]	Time 0.744 (0.625)	Data 0.001 (0.005)	Loss 1.9173 (1.6706)	Prec@1 51.500 (55.253)	Prec@5 80.500 (84.017)
Epoch: [74][1840/9018]	Time 0.601 (0.625)	Data 0.001 (0.005)	Loss 1.7217 (1.6709)	Prec@1 56.000 (55.247)	Prec@5 82.000 (84.012)
Epoch: [74][1850/9018]	Time 0.628 (0.625)	Data 0.001 (0.005)	Loss 1.5808 (1.6711)	Prec@1 61.500 (55.251)	Prec@5 84.000 (84.006)
Epoch: [74][1860/9018]	Time 0.615 (0.625)	Data 0.007 (0.005)	Loss 1.7282 (1.6710)	Prec@1 55.000 (55.254)	Prec@5 85.000 (84.007)
Epoch: [74][1870/9018]	Time 0.592 (0.625)	Data 0.015 (0.005)	Loss 1.6256 (1.6709)	Prec@1 55.500 (55.260)	Prec@5 84.500 (84.007)
Epoch: [74][1880/9018]	Time 0.617 (0.625)	Data 0.001 (0.005)	Loss 1.7792 (1.6714)	Prec@1 54.000 (55.253)	Prec@5 82.500 (83.998)
Epoch: [74][1890/9018]	Time 0.612 (0.625)	Data 0.001 (0.005)	Loss 1.8708 (1.6714)	Prec@1 51.500 (55.254)	Prec@5 80.000 (83.999)
Epoch: [74][1900/9018]	Time 0.621 (0.625)	Data 0.001 (0.005)	Loss 1.5438 (1.6711)	Prec@1 54.500 (55.258)	Prec@5 86.000 (84.004)
Epoch: [74][1910/9018]	Time 0.602 (0.625)	Data 0.001 (0.005)	Loss 1.6380 (1.6711)	Prec@1 53.000 (55.252)	Prec@5 86.000 (84.005)
Epoch: [74][1920/9018]	Time 0.606 (0.625)	Data 0.001 (0.005)	Loss 1.8338 (1.6716)	Prec@1 48.500 (55.244)	Prec@5 85.000 (83.995)
Epoch: [74][1930/9018]	Time 0.615 (0.625)	Data 0.001 (0.005)	Loss 1.6413 (1.6717)	Prec@1 54.000 (55.239)	Prec@5 84.000 (83.992)
Epoch: [74][1940/9018]	Time 0.621 (0.625)	Data 0.001 (0.005)	Loss 1.5747 (1.6716)	Prec@1 57.000 (55.241)	Prec@5 87.500 (83.989)
Epoch: [74][1950/9018]	Time 0.619 (0.625)	Data 0.001 (0.005)	Loss 1.6176 (1.6713)	Prec@1 56.500 (55.241)	Prec@5 85.500 (83.997)
Epoch: [74][1960/9018]	Time 0.644 (0.625)	Data 0.001 (0.005)	Loss 1.6340 (1.6712)	Prec@1 58.500 (55.243)	Prec@5 84.000 (83.999)
Epoch: [74][1970/9018]	Time 0.619 (0.625)	Data 0.015 (0.005)	Loss 1.5634 (1.6711)	Prec@1 57.500 (55.240)	Prec@5 84.500 (84.000)
Epoch: [74][1980/9018]	Time 0.629 (0.625)	Data 0.017 (0.005)	Loss 1.6345 (1.6711)	Prec@1 56.500 (55.243)	Prec@5 84.000 (84.000)
Epoch: [74][1990/9018]	Time 0.603 (0.625)	Data 0.003 (0.005)	Loss 1.5513 (1.6710)	Prec@1 61.500 (55.249)	Prec@5 90.000 (84.002)
Epoch: [74][2000/9018]	Time 0.613 (0.625)	Data 0.017 (0.005)	Loss 1.7850 (1.6712)	Prec@1 57.500 (55.247)	Prec@5 82.000 (84.004)
Epoch: [74][2010/9018]	Time 0.631 (0.625)	Data 0.015 (0.005)	Loss 1.7036 (1.6711)	Prec@1 53.000 (55.244)	Prec@5 82.000 (84.005)
Epoch: [74][2020/9018]	Time 0.625 (0.625)	Data 0.012 (0.005)	Loss 1.4907 (1.6710)	Prec@1 60.000 (55.242)	Prec@5 88.000 (84.009)
Epoch: [74][2030/9018]	Time 0.635 (0.625)	Data 0.001 (0.005)	Loss 1.8116 (1.6712)	Prec@1 53.000 (55.242)	Prec@5 80.000 (84.000)
Epoch: [74][2040/9018]	Time 0.602 (0.625)	Data 0.001 (0.005)	Loss 1.7462 (1.6712)	Prec@1 51.000 (55.242)	Prec@5 83.500 (83.998)
Epoch: [74][2050/9018]	Time 0.612 (0.625)	Data 0.001 (0.005)	Loss 1.6295 (1.6715)	Prec@1 60.000 (55.237)	Prec@5 84.000 (83.989)
Epoch: [74][2060/9018]	Time 0.648 (0.625)	Data 0.023 (0.005)	Loss 1.5625 (1.6711)	Prec@1 59.500 (55.251)	Prec@5 86.500 (83.994)
Epoch: [74][2070/9018]	Time 0.620 (0.625)	Data 0.001 (0.005)	Loss 1.8316 (1.6712)	Prec@1 49.500 (55.246)	Prec@5 82.500 (83.997)
Epoch: [74][2080/9018]	Time 0.612 (0.625)	Data 0.001 (0.005)	Loss 1.6548 (1.6708)	Prec@1 55.000 (55.253)	Prec@5 81.000 (84.005)
Epoch: [74][2090/9018]	Time 0.601 (0.625)	Data 0.015 (0.005)	Loss 1.6542 (1.6708)	Prec@1 57.500 (55.258)	Prec@5 85.500 (84.006)
Epoch: [74][2100/9018]	Time 0.598 (0.625)	Data 0.001 (0.005)	Loss 1.5776 (1.6709)	Prec@1 56.500 (55.253)	Prec@5 89.000 (84.006)
Epoch: [74][2110/9018]	Time 0.794 (0.625)	Data 0.001 (0.005)	Loss 1.8999 (1.6714)	Prec@1 50.000 (55.246)	Prec@5 81.500 (83.996)
Epoch: [74][2120/9018]	Time 0.619 (0.625)	Data 0.001 (0.005)	Loss 1.6586 (1.6713)	Prec@1 55.000 (55.248)	Prec@5 81.500 (83.998)
Epoch: [74][2130/9018]	Time 0.594 (0.625)	Data 0.001 (0.005)	Loss 1.7865 (1.6712)	Prec@1 55.500 (55.245)	Prec@5 80.500 (83.998)
Epoch: [74][2140/9018]	Time 0.617 (0.625)	Data 0.016 (0.005)	Loss 1.4648 (1.6711)	Prec@1 59.500 (55.244)	Prec@5 90.000 (84.001)
Epoch: [74][2150/9018]	Time 0.619 (0.625)	Data 0.001 (0.005)	Loss 1.5217 (1.6711)	Prec@1 59.500 (55.248)	Prec@5 86.000 (84.002)
Epoch: [74][2160/9018]	Time 0.750 (0.625)	Data 0.001 (0.005)	Loss 1.9129 (1.6711)	Prec@1 47.000 (55.245)	Prec@5 81.000 (84.005)
Epoch: [74][2170/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.6742 (1.6712)	Prec@1 54.500 (55.237)	Prec@5 82.000 (84.003)
Epoch: [74][2180/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6646 (1.6715)	Prec@1 55.500 (55.230)	Prec@5 84.500 (84.002)
Epoch: [74][2190/9018]	Time 0.594 (0.625)	Data 0.001 (0.005)	Loss 1.6149 (1.6714)	Prec@1 55.000 (55.230)	Prec@5 84.000 (84.001)
Epoch: [74][2200/9018]	Time 0.602 (0.625)	Data 0.001 (0.005)	Loss 1.6696 (1.6718)	Prec@1 54.000 (55.217)	Prec@5 84.500 (83.994)
Epoch: [74][2210/9018]	Time 0.603 (0.625)	Data 0.001 (0.005)	Loss 1.7444 (1.6718)	Prec@1 55.500 (55.223)	Prec@5 82.000 (83.993)
Epoch: [74][2220/9018]	Time 0.611 (0.625)	Data 0.001 (0.005)	Loss 1.5414 (1.6717)	Prec@1 57.000 (55.227)	Prec@5 86.500 (83.996)
Epoch: [74][2230/9018]	Time 0.614 (0.625)	Data 0.001 (0.005)	Loss 1.7893 (1.6717)	Prec@1 50.500 (55.224)	Prec@5 81.500 (83.998)
Epoch: [74][2240/9018]	Time 0.604 (0.625)	Data 0.014 (0.005)	Loss 1.6639 (1.6717)	Prec@1 54.500 (55.223)	Prec@5 84.500 (83.994)
Epoch: [74][2250/9018]	Time 0.627 (0.625)	Data 0.001 (0.005)	Loss 1.5834 (1.6715)	Prec@1 56.000 (55.227)	Prec@5 85.500 (83.997)
Epoch: [74][2260/9018]	Time 0.635 (0.625)	Data 0.001 (0.005)	Loss 1.6055 (1.6716)	Prec@1 59.500 (55.228)	Prec@5 87.000 (83.998)
Epoch: [74][2270/9018]	Time 0.621 (0.625)	Data 0.001 (0.005)	Loss 1.7921 (1.6717)	Prec@1 52.000 (55.226)	Prec@5 80.500 (83.998)
Epoch: [74][2280/9018]	Time 0.652 (0.625)	Data 0.001 (0.005)	Loss 1.4579 (1.6718)	Prec@1 57.500 (55.217)	Prec@5 89.000 (83.996)
Epoch: [74][2290/9018]	Time 0.639 (0.625)	Data 0.001 (0.005)	Loss 1.6671 (1.6718)	Prec@1 55.500 (55.217)	Prec@5 83.500 (83.995)
Epoch: [74][2300/9018]	Time 0.649 (0.625)	Data 0.001 (0.005)	Loss 1.5579 (1.6719)	Prec@1 62.000 (55.216)	Prec@5 85.500 (83.995)
Epoch: [74][2310/9018]	Time 0.595 (0.625)	Data 0.001 (0.005)	Loss 1.8088 (1.6718)	Prec@1 54.500 (55.215)	Prec@5 82.000 (83.999)
Epoch: [74][2320/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.6869 (1.6720)	Prec@1 55.000 (55.213)	Prec@5 83.500 (83.993)
Epoch: [74][2330/9018]	Time 0.646 (0.625)	Data 0.001 (0.005)	Loss 1.5776 (1.6720)	Prec@1 58.500 (55.213)	Prec@5 84.500 (83.991)
Epoch: [74][2340/9018]	Time 0.626 (0.625)	Data 0.016 (0.005)	Loss 1.4828 (1.6721)	Prec@1 61.000 (55.209)	Prec@5 87.500 (83.990)
Epoch: [74][2350/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7922 (1.6724)	Prec@1 53.000 (55.201)	Prec@5 81.500 (83.982)
Epoch: [74][2360/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.7734 (1.6723)	Prec@1 57.000 (55.197)	Prec@5 80.500 (83.985)
Epoch: [74][2370/9018]	Time 0.602 (0.625)	Data 0.009 (0.004)	Loss 1.8356 (1.6722)	Prec@1 53.500 (55.199)	Prec@5 78.500 (83.985)
Epoch: [74][2380/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.6639 (1.6722)	Prec@1 58.500 (55.200)	Prec@5 84.500 (83.980)
Epoch: [74][2390/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.5681 (1.6725)	Prec@1 56.500 (55.195)	Prec@5 84.500 (83.974)
Epoch: [74][2400/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.6718 (1.6725)	Prec@1 60.000 (55.197)	Prec@5 82.000 (83.972)
Epoch: [74][2410/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.5149 (1.6723)	Prec@1 59.500 (55.203)	Prec@5 84.000 (83.972)
Epoch: [74][2420/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.6387 (1.6722)	Prec@1 52.500 (55.204)	Prec@5 79.500 (83.967)
Epoch: [74][2430/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.6421 (1.6721)	Prec@1 59.000 (55.203)	Prec@5 83.000 (83.969)
Epoch: [74][2440/9018]	Time 0.758 (0.625)	Data 0.029 (0.004)	Loss 1.4557 (1.6722)	Prec@1 57.000 (55.206)	Prec@5 86.000 (83.966)
Epoch: [74][2450/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.6181 (1.6721)	Prec@1 53.500 (55.207)	Prec@5 84.500 (83.966)
Epoch: [74][2460/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.7222 (1.6721)	Prec@1 59.000 (55.209)	Prec@5 81.000 (83.967)
Epoch: [74][2470/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.7778 (1.6722)	Prec@1 49.500 (55.207)	Prec@5 82.500 (83.964)
Epoch: [74][2480/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.7958 (1.6720)	Prec@1 55.000 (55.209)	Prec@5 83.000 (83.965)
Epoch: [74][2490/9018]	Time 0.776 (0.625)	Data 0.020 (0.004)	Loss 1.4780 (1.6719)	Prec@1 60.000 (55.207)	Prec@5 84.500 (83.967)
Epoch: [74][2500/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.7746 (1.6720)	Prec@1 55.000 (55.203)	Prec@5 80.500 (83.965)
Epoch: [74][2510/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.6873 (1.6722)	Prec@1 55.000 (55.200)	Prec@5 82.500 (83.963)
Epoch: [74][2520/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 1.7429 (1.6721)	Prec@1 51.500 (55.198)	Prec@5 83.500 (83.969)
Epoch: [74][2530/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.5354 (1.6722)	Prec@1 58.500 (55.194)	Prec@5 87.000 (83.967)
Epoch: [74][2540/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.8121 (1.6725)	Prec@1 52.000 (55.190)	Prec@5 82.000 (83.963)
Epoch: [74][2550/9018]	Time 0.590 (0.625)	Data 0.001 (0.004)	Loss 1.5324 (1.6724)	Prec@1 56.000 (55.187)	Prec@5 89.500 (83.965)
Epoch: [74][2560/9018]	Time 0.598 (0.625)	Data 0.015 (0.004)	Loss 1.8479 (1.6723)	Prec@1 49.000 (55.186)	Prec@5 83.000 (83.965)
Epoch: [74][2570/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.7495 (1.6721)	Prec@1 54.000 (55.190)	Prec@5 81.000 (83.970)
Epoch: [74][2580/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.6646 (1.6723)	Prec@1 57.500 (55.188)	Prec@5 82.000 (83.965)
Epoch: [74][2590/9018]	Time 0.646 (0.625)	Data 0.003 (0.004)	Loss 1.8232 (1.6724)	Prec@1 49.000 (55.179)	Prec@5 82.000 (83.967)
Epoch: [74][2600/9018]	Time 0.594 (0.625)	Data 0.007 (0.004)	Loss 1.7651 (1.6725)	Prec@1 51.500 (55.174)	Prec@5 79.500 (83.965)
Epoch: [74][2610/9018]	Time 0.606 (0.625)	Data 0.017 (0.004)	Loss 1.4308 (1.6724)	Prec@1 59.000 (55.174)	Prec@5 84.500 (83.962)
Epoch: [74][2620/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.5931 (1.6725)	Prec@1 59.000 (55.170)	Prec@5 85.000 (83.964)
Epoch: [74][2630/9018]	Time 0.609 (0.625)	Data 0.010 (0.004)	Loss 1.6680 (1.6725)	Prec@1 58.000 (55.170)	Prec@5 82.500 (83.964)
Epoch: [74][2640/9018]	Time 0.606 (0.625)	Data 0.016 (0.004)	Loss 1.8139 (1.6726)	Prec@1 51.000 (55.164)	Prec@5 80.500 (83.959)
Epoch: [74][2650/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.7469 (1.6726)	Prec@1 53.500 (55.164)	Prec@5 83.500 (83.956)
Epoch: [74][2660/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.7266 (1.6727)	Prec@1 53.500 (55.165)	Prec@5 85.000 (83.954)
Epoch: [74][2670/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.8047 (1.6729)	Prec@1 52.500 (55.161)	Prec@5 82.500 (83.950)
Epoch: [74][2680/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6279 (1.6726)	Prec@1 55.000 (55.170)	Prec@5 86.500 (83.956)
Epoch: [74][2690/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.6861 (1.6725)	Prec@1 54.000 (55.173)	Prec@5 82.500 (83.957)
Epoch: [74][2700/9018]	Time 0.675 (0.625)	Data 0.001 (0.004)	Loss 1.6626 (1.6725)	Prec@1 61.500 (55.179)	Prec@5 81.000 (83.956)
Epoch: [74][2710/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.9134 (1.6726)	Prec@1 49.500 (55.177)	Prec@5 78.500 (83.953)
Epoch: [74][2720/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.7138 (1.6724)	Prec@1 53.000 (55.175)	Prec@5 83.500 (83.957)
Epoch: [74][2730/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.6051 (1.6723)	Prec@1 55.000 (55.174)	Prec@5 84.500 (83.960)
Epoch: [74][2740/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.4394 (1.6723)	Prec@1 62.500 (55.172)	Prec@5 87.000 (83.958)
Epoch: [74][2750/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7330 (1.6724)	Prec@1 49.000 (55.175)	Prec@5 86.500 (83.963)
Epoch: [74][2760/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.4038 (1.6722)	Prec@1 61.000 (55.177)	Prec@5 90.500 (83.964)
Epoch: [74][2770/9018]	Time 0.797 (0.625)	Data 0.016 (0.004)	Loss 1.7213 (1.6721)	Prec@1 49.000 (55.175)	Prec@5 83.500 (83.965)
Epoch: [74][2780/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.6841 (1.6722)	Prec@1 54.500 (55.174)	Prec@5 84.000 (83.964)
Epoch: [74][2790/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.7112 (1.6722)	Prec@1 53.500 (55.175)	Prec@5 82.000 (83.967)
Epoch: [74][2800/9018]	Time 0.604 (0.625)	Data 0.011 (0.004)	Loss 1.6721 (1.6724)	Prec@1 54.000 (55.169)	Prec@5 81.000 (83.961)
Epoch: [74][2810/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.8215 (1.6725)	Prec@1 49.500 (55.168)	Prec@5 81.500 (83.959)
Epoch: [74][2820/9018]	Time 0.775 (0.625)	Data 0.001 (0.004)	Loss 1.6587 (1.6727)	Prec@1 57.000 (55.161)	Prec@5 85.000 (83.956)
Epoch: [74][2830/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.5332 (1.6726)	Prec@1 56.500 (55.163)	Prec@5 85.500 (83.956)
Epoch: [74][2840/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.6582 (1.6727)	Prec@1 59.000 (55.159)	Prec@5 85.000 (83.951)
Epoch: [74][2850/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.7956 (1.6729)	Prec@1 51.000 (55.151)	Prec@5 81.500 (83.951)
Epoch: [74][2860/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.8259 (1.6729)	Prec@1 51.500 (55.147)	Prec@5 83.000 (83.954)
Epoch: [74][2870/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.8001 (1.6729)	Prec@1 55.500 (55.148)	Prec@5 81.000 (83.955)
Epoch: [74][2880/9018]	Time 0.641 (0.625)	Data 0.001 (0.004)	Loss 1.6587 (1.6730)	Prec@1 56.000 (55.142)	Prec@5 84.500 (83.955)
Epoch: [74][2890/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.6797 (1.6730)	Prec@1 54.500 (55.139)	Prec@5 84.500 (83.955)
Epoch: [74][2900/9018]	Time 0.634 (0.625)	Data 0.029 (0.004)	Loss 1.5830 (1.6729)	Prec@1 53.000 (55.137)	Prec@5 85.500 (83.957)
Epoch: [74][2910/9018]	Time 0.606 (0.625)	Data 0.001 (0.004)	Loss 1.6536 (1.6726)	Prec@1 54.500 (55.144)	Prec@5 87.500 (83.963)
Epoch: [74][2920/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.5663 (1.6724)	Prec@1 60.500 (55.152)	Prec@5 84.000 (83.966)
Epoch: [74][2930/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.7626 (1.6724)	Prec@1 55.500 (55.151)	Prec@5 84.500 (83.968)
Epoch: [74][2940/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.6603 (1.6725)	Prec@1 56.500 (55.147)	Prec@5 84.000 (83.970)
Epoch: [74][2950/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 1.6965 (1.6727)	Prec@1 53.500 (55.140)	Prec@5 85.000 (83.968)
Epoch: [74][2960/9018]	Time 0.642 (0.625)	Data 0.014 (0.004)	Loss 1.7234 (1.6729)	Prec@1 54.500 (55.136)	Prec@5 84.500 (83.964)
Epoch: [74][2970/9018]	Time 0.612 (0.625)	Data 0.014 (0.004)	Loss 1.5259 (1.6731)	Prec@1 60.500 (55.132)	Prec@5 85.000 (83.960)
Epoch: [74][2980/9018]	Time 0.635 (0.625)	Data 0.013 (0.004)	Loss 1.6610 (1.6730)	Prec@1 57.500 (55.134)	Prec@5 86.000 (83.963)
Epoch: [74][2990/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7011 (1.6729)	Prec@1 52.500 (55.135)	Prec@5 85.500 (83.968)
Epoch: [74][3000/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.6116 (1.6730)	Prec@1 57.000 (55.128)	Prec@5 84.000 (83.962)
Epoch: [74][3010/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.7924 (1.6729)	Prec@1 55.500 (55.131)	Prec@5 82.500 (83.962)
Epoch: [74][3020/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.4700 (1.6729)	Prec@1 61.500 (55.130)	Prec@5 88.000 (83.961)
Epoch: [74][3030/9018]	Time 0.631 (0.624)	Data 0.001 (0.004)	Loss 1.5983 (1.6731)	Prec@1 57.000 (55.128)	Prec@5 84.500 (83.959)
Epoch: [74][3040/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.8952 (1.6730)	Prec@1 50.500 (55.131)	Prec@5 82.500 (83.957)
Epoch: [74][3050/9018]	Time 0.622 (0.624)	Data 0.001 (0.004)	Loss 1.6940 (1.6732)	Prec@1 56.000 (55.126)	Prec@5 83.000 (83.956)
Epoch: [74][3060/9018]	Time 0.637 (0.624)	Data 0.011 (0.004)	Loss 1.8272 (1.6733)	Prec@1 47.000 (55.120)	Prec@5 85.000 (83.958)
Epoch: [74][3070/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.5449 (1.6731)	Prec@1 60.000 (55.122)	Prec@5 87.500 (83.961)
Epoch: [74][3080/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.8074 (1.6732)	Prec@1 48.500 (55.125)	Prec@5 82.500 (83.957)
Epoch: [74][3090/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.6610 (1.6731)	Prec@1 54.000 (55.128)	Prec@5 85.000 (83.960)
Epoch: [74][3100/9018]	Time 0.746 (0.624)	Data 0.001 (0.004)	Loss 1.5499 (1.6729)	Prec@1 59.000 (55.133)	Prec@5 87.000 (83.962)
Epoch: [74][3110/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.5733 (1.6728)	Prec@1 56.500 (55.133)	Prec@5 85.500 (83.964)
Epoch: [74][3120/9018]	Time 0.622 (0.624)	Data 0.017 (0.004)	Loss 1.8519 (1.6727)	Prec@1 53.500 (55.138)	Prec@5 78.500 (83.961)
Epoch: [74][3130/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.7108 (1.6726)	Prec@1 54.000 (55.143)	Prec@5 84.000 (83.963)
Epoch: [74][3140/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.7499 (1.6726)	Prec@1 50.000 (55.144)	Prec@5 80.500 (83.960)
Epoch: [74][3150/9018]	Time 0.820 (0.624)	Data 0.002 (0.004)	Loss 1.6564 (1.6726)	Prec@1 54.500 (55.148)	Prec@5 86.500 (83.963)
Epoch: [74][3160/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.6281 (1.6725)	Prec@1 54.000 (55.150)	Prec@5 84.500 (83.963)
Epoch: [74][3170/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.7204 (1.6727)	Prec@1 57.500 (55.149)	Prec@5 81.000 (83.961)
Epoch: [74][3180/9018]	Time 0.631 (0.624)	Data 0.001 (0.004)	Loss 1.5611 (1.6726)	Prec@1 55.000 (55.153)	Prec@5 84.500 (83.959)
Epoch: [74][3190/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.8201 (1.6727)	Prec@1 56.000 (55.150)	Prec@5 82.000 (83.957)
Epoch: [74][3200/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.7082 (1.6726)	Prec@1 57.000 (55.154)	Prec@5 81.500 (83.958)
Epoch: [74][3210/9018]	Time 0.640 (0.624)	Data 0.001 (0.004)	Loss 1.5648 (1.6728)	Prec@1 54.500 (55.150)	Prec@5 88.000 (83.958)
Epoch: [74][3220/9018]	Time 0.597 (0.624)	Data 0.016 (0.004)	Loss 1.5730 (1.6727)	Prec@1 57.500 (55.149)	Prec@5 85.000 (83.959)
Epoch: [74][3230/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.6770 (1.6726)	Prec@1 52.000 (55.152)	Prec@5 83.000 (83.962)
Epoch: [74][3240/9018]	Time 0.637 (0.624)	Data 0.001 (0.004)	Loss 1.7551 (1.6725)	Prec@1 53.500 (55.151)	Prec@5 82.000 (83.963)
Epoch: [74][3250/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.5734 (1.6728)	Prec@1 58.000 (55.148)	Prec@5 86.500 (83.958)
Epoch: [74][3260/9018]	Time 0.608 (0.624)	Data 0.017 (0.004)	Loss 1.6912 (1.6728)	Prec@1 59.000 (55.148)	Prec@5 84.000 (83.955)
Epoch: [74][3270/9018]	Time 0.613 (0.624)	Data 0.014 (0.004)	Loss 1.8547 (1.6731)	Prec@1 52.500 (55.139)	Prec@5 81.000 (83.948)
Epoch: [74][3280/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.7311 (1.6732)	Prec@1 56.000 (55.140)	Prec@5 85.000 (83.949)
Epoch: [74][3290/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.7379 (1.6731)	Prec@1 54.500 (55.146)	Prec@5 82.000 (83.947)
Epoch: [74][3300/9018]	Time 0.608 (0.624)	Data 0.014 (0.004)	Loss 1.5858 (1.6731)	Prec@1 56.500 (55.144)	Prec@5 84.500 (83.948)
Epoch: [74][3310/9018]	Time 0.626 (0.624)	Data 0.001 (0.004)	Loss 1.8694 (1.6731)	Prec@1 52.500 (55.146)	Prec@5 77.500 (83.947)
Epoch: [74][3320/9018]	Time 0.634 (0.624)	Data 0.001 (0.004)	Loss 1.6144 (1.6729)	Prec@1 54.000 (55.151)	Prec@5 86.500 (83.952)
Epoch: [74][3330/9018]	Time 0.595 (0.624)	Data 0.016 (0.004)	Loss 1.7568 (1.6730)	Prec@1 51.500 (55.146)	Prec@5 80.500 (83.949)
Epoch: [74][3340/9018]	Time 0.591 (0.624)	Data 0.001 (0.004)	Loss 1.5948 (1.6729)	Prec@1 57.000 (55.147)	Prec@5 85.000 (83.955)
Epoch: [74][3350/9018]	Time 0.626 (0.624)	Data 0.001 (0.004)	Loss 1.6987 (1.6731)	Prec@1 55.500 (55.148)	Prec@5 83.500 (83.951)
Epoch: [74][3360/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.6654 (1.6731)	Prec@1 55.000 (55.145)	Prec@5 83.500 (83.951)
Epoch: [74][3370/9018]	Time 0.618 (0.624)	Data 0.007 (0.004)	Loss 1.6017 (1.6732)	Prec@1 55.500 (55.147)	Prec@5 84.000 (83.949)
Epoch: [74][3380/9018]	Time 0.658 (0.624)	Data 0.001 (0.004)	Loss 1.8295 (1.6734)	Prec@1 50.500 (55.139)	Prec@5 80.000 (83.946)
Epoch: [74][3390/9018]	Time 0.610 (0.624)	Data 0.011 (0.004)	Loss 1.8090 (1.6735)	Prec@1 50.500 (55.135)	Prec@5 83.000 (83.945)
Epoch: [74][3400/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.5617 (1.6735)	Prec@1 54.500 (55.128)	Prec@5 85.000 (83.946)
Epoch: [74][3410/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.6886 (1.6737)	Prec@1 57.000 (55.126)	Prec@5 84.000 (83.944)
Epoch: [74][3420/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.7587 (1.6737)	Prec@1 51.500 (55.127)	Prec@5 83.000 (83.944)
Epoch: [74][3430/9018]	Time 0.789 (0.624)	Data 0.002 (0.004)	Loss 1.7183 (1.6737)	Prec@1 53.500 (55.126)	Prec@5 82.500 (83.944)
Epoch: [74][3440/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 1.6957 (1.6737)	Prec@1 53.500 (55.129)	Prec@5 82.500 (83.945)
Epoch: [74][3450/9018]	Time 0.626 (0.624)	Data 0.001 (0.004)	Loss 1.6724 (1.6741)	Prec@1 57.000 (55.122)	Prec@5 84.000 (83.940)
Epoch: [74][3460/9018]	Time 0.632 (0.624)	Data 0.001 (0.004)	Loss 1.8950 (1.6744)	Prec@1 49.000 (55.116)	Prec@5 80.500 (83.936)
Epoch: [74][3470/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.7860 (1.6744)	Prec@1 54.000 (55.118)	Prec@5 80.000 (83.936)
Epoch: [74][3480/9018]	Time 0.790 (0.625)	Data 0.015 (0.004)	Loss 1.7538 (1.6745)	Prec@1 53.000 (55.116)	Prec@5 81.500 (83.932)
Epoch: [74][3490/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.7034 (1.6745)	Prec@1 58.500 (55.116)	Prec@5 84.500 (83.934)
Epoch: [74][3500/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.4815 (1.6745)	Prec@1 59.000 (55.116)	Prec@5 87.000 (83.934)
Epoch: [74][3510/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.6739 (1.6746)	Prec@1 55.000 (55.112)	Prec@5 82.000 (83.928)
Epoch: [74][3520/9018]	Time 0.641 (0.625)	Data 0.001 (0.004)	Loss 1.7636 (1.6747)	Prec@1 51.000 (55.110)	Prec@5 84.500 (83.929)
Epoch: [74][3530/9018]	Time 0.652 (0.625)	Data 0.001 (0.004)	Loss 1.7701 (1.6748)	Prec@1 55.000 (55.107)	Prec@5 80.000 (83.929)
Epoch: [74][3540/9018]	Time 0.600 (0.625)	Data 0.011 (0.004)	Loss 1.7021 (1.6750)	Prec@1 53.000 (55.101)	Prec@5 84.500 (83.928)
Epoch: [74][3550/9018]	Time 0.636 (0.625)	Data 0.018 (0.004)	Loss 1.7241 (1.6749)	Prec@1 54.500 (55.101)	Prec@5 82.500 (83.928)
Epoch: [74][3560/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.8132 (1.6750)	Prec@1 53.500 (55.099)	Prec@5 79.000 (83.927)
Epoch: [74][3570/9018]	Time 0.617 (0.625)	Data 0.012 (0.004)	Loss 1.6227 (1.6750)	Prec@1 55.500 (55.098)	Prec@5 84.000 (83.927)
Epoch: [74][3580/9018]	Time 0.590 (0.625)	Data 0.001 (0.004)	Loss 1.7233 (1.6750)	Prec@1 55.000 (55.097)	Prec@5 82.500 (83.927)
Epoch: [74][3590/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6560 (1.6751)	Prec@1 58.500 (55.096)	Prec@5 84.000 (83.924)
Epoch: [74][3600/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.6477 (1.6750)	Prec@1 54.000 (55.096)	Prec@5 85.500 (83.924)
Epoch: [74][3610/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.7627 (1.6750)	Prec@1 51.500 (55.095)	Prec@5 82.000 (83.926)
Epoch: [74][3620/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.6118 (1.6749)	Prec@1 58.500 (55.097)	Prec@5 86.500 (83.928)
Epoch: [74][3630/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.6944 (1.6749)	Prec@1 54.000 (55.097)	Prec@5 82.000 (83.928)
Epoch: [74][3640/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.6557 (1.6750)	Prec@1 55.000 (55.094)	Prec@5 81.500 (83.922)
Epoch: [74][3650/9018]	Time 0.626 (0.624)	Data 0.017 (0.004)	Loss 1.6017 (1.6751)	Prec@1 52.000 (55.094)	Prec@5 84.500 (83.923)
Epoch: [74][3660/9018]	Time 0.641 (0.624)	Data 0.001 (0.004)	Loss 1.5030 (1.6750)	Prec@1 58.500 (55.098)	Prec@5 89.000 (83.927)
Epoch: [74][3670/9018]	Time 0.606 (0.625)	Data 0.013 (0.004)	Loss 1.6724 (1.6751)	Prec@1 56.500 (55.098)	Prec@5 82.500 (83.926)
Epoch: [74][3680/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6268 (1.6749)	Prec@1 53.500 (55.102)	Prec@5 86.000 (83.930)
Epoch: [74][3690/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.6865 (1.6750)	Prec@1 54.000 (55.101)	Prec@5 82.500 (83.928)
Epoch: [74][3700/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.6892 (1.6750)	Prec@1 56.000 (55.101)	Prec@5 85.500 (83.930)
Epoch: [74][3710/9018]	Time 0.644 (0.625)	Data 0.001 (0.004)	Loss 1.7062 (1.6749)	Prec@1 53.500 (55.105)	Prec@5 84.500 (83.933)
Epoch: [74][3720/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.6393 (1.6749)	Prec@1 52.500 (55.105)	Prec@5 84.500 (83.933)
Epoch: [74][3730/9018]	Time 0.624 (0.625)	Data 0.015 (0.004)	Loss 1.7050 (1.6749)	Prec@1 54.500 (55.108)	Prec@5 84.000 (83.932)
Epoch: [74][3740/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.5317 (1.6751)	Prec@1 59.000 (55.106)	Prec@5 87.500 (83.932)
Epoch: [74][3750/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.6508 (1.6750)	Prec@1 59.500 (55.108)	Prec@5 85.500 (83.934)
Epoch: [74][3760/9018]	Time 0.771 (0.625)	Data 0.001 (0.004)	Loss 1.5562 (1.6750)	Prec@1 54.500 (55.107)	Prec@5 85.500 (83.934)
Epoch: [74][3770/9018]	Time 0.631 (0.625)	Data 0.016 (0.004)	Loss 1.6877 (1.6751)	Prec@1 54.000 (55.101)	Prec@5 85.000 (83.932)
Epoch: [74][3780/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.6230 (1.6753)	Prec@1 58.000 (55.098)	Prec@5 85.000 (83.930)
Epoch: [74][3790/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.7725 (1.6754)	Prec@1 52.000 (55.097)	Prec@5 83.500 (83.926)
Epoch: [74][3800/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.6878 (1.6754)	Prec@1 57.000 (55.100)	Prec@5 83.500 (83.926)
Epoch: [74][3810/9018]	Time 0.787 (0.625)	Data 0.001 (0.004)	Loss 1.4078 (1.6753)	Prec@1 61.000 (55.106)	Prec@5 86.000 (83.927)
Epoch: [74][3820/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.6391 (1.6753)	Prec@1 59.000 (55.109)	Prec@5 86.500 (83.925)
Epoch: [74][3830/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.7507 (1.6755)	Prec@1 55.500 (55.105)	Prec@5 79.500 (83.922)
Epoch: [74][3840/9018]	Time 0.633 (0.625)	Data 0.015 (0.004)	Loss 1.5296 (1.6755)	Prec@1 64.000 (55.107)	Prec@5 83.500 (83.924)
Epoch: [74][3850/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.6636 (1.6755)	Prec@1 54.500 (55.103)	Prec@5 84.500 (83.925)
Epoch: [74][3860/9018]	Time 0.638 (0.625)	Data 0.001 (0.004)	Loss 1.6931 (1.6755)	Prec@1 52.500 (55.102)	Prec@5 83.000 (83.927)
Epoch: [74][3870/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.8895 (1.6755)	Prec@1 51.000 (55.103)	Prec@5 80.500 (83.928)
Epoch: [74][3880/9018]	Time 0.646 (0.625)	Data 0.001 (0.004)	Loss 1.6553 (1.6754)	Prec@1 57.000 (55.105)	Prec@5 82.500 (83.931)
Epoch: [74][3890/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.7466 (1.6755)	Prec@1 55.000 (55.102)	Prec@5 82.500 (83.929)
Epoch: [74][3900/9018]	Time 0.615 (0.625)	Data 0.015 (0.004)	Loss 1.5091 (1.6757)	Prec@1 58.500 (55.098)	Prec@5 86.500 (83.928)
Epoch: [74][3910/9018]	Time 0.637 (0.625)	Data 0.007 (0.004)	Loss 1.5430 (1.6758)	Prec@1 56.500 (55.096)	Prec@5 88.000 (83.926)
Epoch: [74][3920/9018]	Time 0.589 (0.624)	Data 0.001 (0.004)	Loss 1.6922 (1.6757)	Prec@1 56.000 (55.104)	Prec@5 83.000 (83.924)
Epoch: [74][3930/9018]	Time 0.639 (0.625)	Data 0.014 (0.004)	Loss 1.5611 (1.6759)	Prec@1 58.000 (55.099)	Prec@5 87.000 (83.923)
Epoch: [74][3940/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.6493 (1.6759)	Prec@1 59.000 (55.099)	Prec@5 87.500 (83.924)
Epoch: [74][3950/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.6638 (1.6759)	Prec@1 57.500 (55.096)	Prec@5 86.500 (83.925)
Epoch: [74][3960/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.6979 (1.6760)	Prec@1 53.000 (55.094)	Prec@5 83.500 (83.923)
Epoch: [74][3970/9018]	Time 0.606 (0.625)	Data 0.017 (0.004)	Loss 1.6670 (1.6760)	Prec@1 56.000 (55.096)	Prec@5 82.000 (83.924)
Epoch: [74][3980/9018]	Time 0.617 (0.625)	Data 0.013 (0.004)	Loss 1.6241 (1.6759)	Prec@1 54.500 (55.099)	Prec@5 84.500 (83.925)
Epoch: [74][3990/9018]	Time 0.619 (0.625)	Data 0.015 (0.004)	Loss 1.6059 (1.6759)	Prec@1 52.000 (55.097)	Prec@5 84.500 (83.922)
Epoch: [74][4000/9018]	Time 0.640 (0.625)	Data 0.001 (0.004)	Loss 1.5056 (1.6759)	Prec@1 61.500 (55.100)	Prec@5 86.500 (83.922)
Epoch: [74][4010/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.8740 (1.6759)	Prec@1 53.000 (55.099)	Prec@5 79.500 (83.921)
Epoch: [74][4020/9018]	Time 0.643 (0.625)	Data 0.015 (0.004)	Loss 1.8099 (1.6761)	Prec@1 48.500 (55.095)	Prec@5 81.500 (83.920)
Epoch: [74][4030/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.7407 (1.6761)	Prec@1 55.000 (55.097)	Prec@5 81.500 (83.917)
Epoch: [74][4040/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.4995 (1.6760)	Prec@1 59.500 (55.098)	Prec@5 85.500 (83.918)
Epoch: [74][4050/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.6302 (1.6762)	Prec@1 58.000 (55.094)	Prec@5 83.000 (83.917)
Epoch: [74][4060/9018]	Time 0.660 (0.625)	Data 0.014 (0.004)	Loss 1.4630 (1.6761)	Prec@1 60.000 (55.093)	Prec@5 88.500 (83.917)
Epoch: [74][4070/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.6926 (1.6761)	Prec@1 53.000 (55.095)	Prec@5 83.000 (83.918)
Epoch: [74][4080/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.9520 (1.6762)	Prec@1 51.500 (55.094)	Prec@5 80.000 (83.915)
Epoch: [74][4090/9018]	Time 0.744 (0.625)	Data 0.014 (0.004)	Loss 1.8156 (1.6761)	Prec@1 47.000 (55.096)	Prec@5 80.000 (83.916)
Epoch: [74][4100/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.6941 (1.6761)	Prec@1 56.000 (55.095)	Prec@5 83.500 (83.914)
Epoch: [74][4110/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.7278 (1.6761)	Prec@1 55.000 (55.099)	Prec@5 82.500 (83.915)
Epoch: [74][4120/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.4956 (1.6761)	Prec@1 61.000 (55.098)	Prec@5 88.000 (83.917)
Epoch: [74][4130/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.7326 (1.6761)	Prec@1 56.000 (55.100)	Prec@5 82.000 (83.916)
Epoch: [74][4140/9018]	Time 0.770 (0.625)	Data 0.001 (0.004)	Loss 1.6113 (1.6760)	Prec@1 58.500 (55.102)	Prec@5 84.000 (83.916)
Epoch: [74][4150/9018]	Time 0.611 (0.625)	Data 0.015 (0.004)	Loss 1.9190 (1.6762)	Prec@1 48.000 (55.102)	Prec@5 81.000 (83.912)
Epoch: [74][4160/9018]	Time 0.620 (0.625)	Data 0.014 (0.004)	Loss 1.8076 (1.6763)	Prec@1 52.500 (55.101)	Prec@5 83.000 (83.912)
Epoch: [74][4170/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.5610 (1.6762)	Prec@1 58.500 (55.105)	Prec@5 84.000 (83.913)
Epoch: [74][4180/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.9167 (1.6763)	Prec@1 54.500 (55.104)	Prec@5 76.000 (83.910)
Epoch: [74][4190/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.6289 (1.6765)	Prec@1 60.500 (55.101)	Prec@5 83.000 (83.907)
Epoch: [74][4200/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.8839 (1.6765)	Prec@1 47.000 (55.098)	Prec@5 83.000 (83.908)
Epoch: [74][4210/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.5124 (1.6765)	Prec@1 61.500 (55.102)	Prec@5 84.500 (83.905)
Epoch: [74][4220/9018]	Time 0.611 (0.625)	Data 0.002 (0.004)	Loss 1.7664 (1.6765)	Prec@1 52.000 (55.099)	Prec@5 84.000 (83.908)
Epoch: [74][4230/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.8374 (1.6767)	Prec@1 50.500 (55.095)	Prec@5 83.000 (83.904)
Epoch: [74][4240/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.6209 (1.6767)	Prec@1 54.500 (55.096)	Prec@5 87.000 (83.905)
Epoch: [74][4250/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.8363 (1.6768)	Prec@1 49.500 (55.096)	Prec@5 84.000 (83.903)
Epoch: [74][4260/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.7044 (1.6768)	Prec@1 56.500 (55.098)	Prec@5 83.500 (83.903)
Epoch: [74][4270/9018]	Time 0.632 (0.625)	Data 0.014 (0.004)	Loss 1.6608 (1.6768)	Prec@1 58.000 (55.100)	Prec@5 80.500 (83.901)
Epoch: [74][4280/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6445 (1.6768)	Prec@1 58.000 (55.100)	Prec@5 83.000 (83.899)
Epoch: [74][4290/9018]	Time 0.650 (0.625)	Data 0.001 (0.004)	Loss 1.5516 (1.6768)	Prec@1 61.500 (55.101)	Prec@5 84.000 (83.900)
Epoch: [74][4300/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.4625 (1.6769)	Prec@1 61.000 (55.098)	Prec@5 87.000 (83.898)
Epoch: [74][4310/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.7387 (1.6768)	Prec@1 54.000 (55.100)	Prec@5 82.500 (83.900)
Epoch: [74][4320/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.6002 (1.6769)	Prec@1 57.500 (55.100)	Prec@5 86.000 (83.900)
Epoch: [74][4330/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.6618 (1.6769)	Prec@1 54.000 (55.097)	Prec@5 85.500 (83.901)
Epoch: [74][4340/9018]	Time 0.628 (0.625)	Data 0.011 (0.004)	Loss 1.5501 (1.6769)	Prec@1 59.000 (55.096)	Prec@5 86.000 (83.902)
Epoch: [74][4350/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.7787 (1.6769)	Prec@1 50.500 (55.099)	Prec@5 83.000 (83.903)
Epoch: [74][4360/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.9115 (1.6769)	Prec@1 47.000 (55.098)	Prec@5 81.500 (83.902)
Epoch: [74][4370/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.6215 (1.6768)	Prec@1 56.500 (55.099)	Prec@5 85.000 (83.904)
Epoch: [74][4380/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.7413 (1.6769)	Prec@1 55.500 (55.099)	Prec@5 83.000 (83.900)
Epoch: [74][4390/9018]	Time 0.642 (0.625)	Data 0.001 (0.004)	Loss 1.6895 (1.6770)	Prec@1 52.000 (55.098)	Prec@5 84.000 (83.899)
Epoch: [74][4400/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.6633 (1.6770)	Prec@1 53.500 (55.095)	Prec@5 84.000 (83.899)
Epoch: [74][4410/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.5591 (1.6771)	Prec@1 56.500 (55.095)	Prec@5 87.500 (83.899)
Epoch: [74][4420/9018]	Time 0.760 (0.625)	Data 0.001 (0.004)	Loss 1.6876 (1.6771)	Prec@1 55.500 (55.095)	Prec@5 83.000 (83.899)
Epoch: [74][4430/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.6637 (1.6772)	Prec@1 55.000 (55.092)	Prec@5 86.500 (83.898)
Epoch: [74][4440/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.4240 (1.6772)	Prec@1 61.500 (55.093)	Prec@5 88.500 (83.899)
Epoch: [74][4450/9018]	Time 0.625 (0.624)	Data 0.001 (0.004)	Loss 1.5898 (1.6772)	Prec@1 56.500 (55.090)	Prec@5 85.500 (83.899)
Epoch: [74][4460/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.9519 (1.6773)	Prec@1 53.500 (55.087)	Prec@5 80.000 (83.897)
Epoch: [74][4470/9018]	Time 0.762 (0.625)	Data 0.010 (0.004)	Loss 1.7262 (1.6775)	Prec@1 53.000 (55.080)	Prec@5 82.500 (83.894)
Epoch: [74][4480/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.5965 (1.6774)	Prec@1 56.000 (55.084)	Prec@5 85.500 (83.898)
Epoch: [74][4490/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.7446 (1.6774)	Prec@1 55.500 (55.083)	Prec@5 81.000 (83.897)
Epoch: [74][4500/9018]	Time 0.649 (0.624)	Data 0.001 (0.004)	Loss 1.7992 (1.6776)	Prec@1 47.500 (55.081)	Prec@5 81.500 (83.896)
Epoch: [74][4510/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.8966 (1.6777)	Prec@1 48.000 (55.076)	Prec@5 75.500 (83.893)
Epoch: [74][4520/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.6758 (1.6776)	Prec@1 52.500 (55.079)	Prec@5 83.500 (83.892)
Epoch: [74][4530/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.7456 (1.6777)	Prec@1 50.000 (55.074)	Prec@5 81.500 (83.890)
Epoch: [74][4540/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.7849 (1.6778)	Prec@1 50.000 (55.072)	Prec@5 82.000 (83.888)
Epoch: [74][4550/9018]	Time 0.614 (0.625)	Data 0.002 (0.004)	Loss 1.6638 (1.6777)	Prec@1 58.500 (55.074)	Prec@5 82.500 (83.889)
Epoch: [74][4560/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.8370 (1.6777)	Prec@1 51.500 (55.075)	Prec@5 80.500 (83.888)
Epoch: [74][4570/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.6642 (1.6777)	Prec@1 52.500 (55.074)	Prec@5 85.500 (83.887)
Epoch: [74][4580/9018]	Time 0.631 (0.625)	Data 0.001 (0.004)	Loss 1.7473 (1.6777)	Prec@1 54.500 (55.076)	Prec@5 83.000 (83.885)
Epoch: [74][4590/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.8312 (1.6778)	Prec@1 48.500 (55.074)	Prec@5 84.000 (83.884)
Epoch: [74][4600/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.5226 (1.6777)	Prec@1 60.500 (55.079)	Prec@5 87.000 (83.883)
Epoch: [74][4610/9018]	Time 0.607 (0.625)	Data 0.014 (0.004)	Loss 1.7049 (1.6776)	Prec@1 54.000 (55.081)	Prec@5 84.000 (83.884)
Epoch: [74][4620/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.5534 (1.6776)	Prec@1 52.500 (55.081)	Prec@5 88.000 (83.883)
Epoch: [74][4630/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.4641 (1.6777)	Prec@1 60.500 (55.082)	Prec@5 89.000 (83.882)
Epoch: [74][4640/9018]	Time 0.621 (0.625)	Data 0.005 (0.004)	Loss 1.5540 (1.6775)	Prec@1 57.000 (55.085)	Prec@5 87.500 (83.884)
Epoch: [74][4650/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 1.8055 (1.6776)	Prec@1 52.000 (55.082)	Prec@5 78.500 (83.885)
Epoch: [74][4660/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.3917 (1.6774)	Prec@1 57.000 (55.086)	Prec@5 89.500 (83.885)
Epoch: [74][4670/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.8119 (1.6773)	Prec@1 50.000 (55.090)	Prec@5 79.000 (83.886)
Epoch: [74][4680/9018]	Time 0.601 (0.625)	Data 0.015 (0.004)	Loss 1.7348 (1.6774)	Prec@1 55.000 (55.090)	Prec@5 86.000 (83.885)
Epoch: [74][4690/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.5997 (1.6773)	Prec@1 55.000 (55.091)	Prec@5 85.500 (83.886)
Epoch: [74][4700/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.5769 (1.6773)	Prec@1 53.500 (55.091)	Prec@5 84.000 (83.887)
Epoch: [74][4710/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.6356 (1.6772)	Prec@1 54.500 (55.091)	Prec@5 85.500 (83.887)
Epoch: [74][4720/9018]	Time 0.640 (0.625)	Data 0.001 (0.004)	Loss 1.6380 (1.6771)	Prec@1 56.000 (55.096)	Prec@5 82.000 (83.888)
Epoch: [74][4730/9018]	Time 0.603 (0.625)	Data 0.004 (0.004)	Loss 1.7329 (1.6771)	Prec@1 51.000 (55.094)	Prec@5 85.500 (83.887)
Epoch: [74][4740/9018]	Time 0.616 (0.625)	Data 0.004 (0.004)	Loss 1.7891 (1.6772)	Prec@1 53.500 (55.092)	Prec@5 81.500 (83.889)
Epoch: [74][4750/9018]	Time 0.777 (0.625)	Data 0.001 (0.004)	Loss 1.6817 (1.6771)	Prec@1 58.500 (55.095)	Prec@5 81.000 (83.889)
Epoch: [74][4760/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.5344 (1.6770)	Prec@1 63.000 (55.097)	Prec@5 84.000 (83.891)
Epoch: [74][4770/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.5617 (1.6769)	Prec@1 60.000 (55.099)	Prec@5 86.000 (83.894)
Epoch: [74][4780/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.8351 (1.6769)	Prec@1 52.000 (55.099)	Prec@5 81.500 (83.892)
Epoch: [74][4790/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.6996 (1.6770)	Prec@1 58.500 (55.100)	Prec@5 81.000 (83.889)
Epoch: [74][4800/9018]	Time 0.616 (0.625)	Data 0.011 (0.004)	Loss 1.8637 (1.6769)	Prec@1 48.500 (55.104)	Prec@5 81.500 (83.889)
Epoch: [74][4810/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.7283 (1.6770)	Prec@1 56.500 (55.101)	Prec@5 81.500 (83.888)
Epoch: [74][4820/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.8573 (1.6771)	Prec@1 50.000 (55.098)	Prec@5 79.500 (83.886)
Epoch: [74][4830/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.7925 (1.6770)	Prec@1 50.500 (55.100)	Prec@5 79.500 (83.887)
Epoch: [74][4840/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.5982 (1.6771)	Prec@1 59.000 (55.100)	Prec@5 83.500 (83.885)
Epoch: [74][4850/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.5059 (1.6772)	Prec@1 58.000 (55.098)	Prec@5 88.500 (83.882)
Epoch: [74][4860/9018]	Time 0.620 (0.625)	Data 0.013 (0.004)	Loss 1.7581 (1.6772)	Prec@1 52.500 (55.100)	Prec@5 80.500 (83.880)
Epoch: [74][4870/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.6278 (1.6772)	Prec@1 54.000 (55.101)	Prec@5 86.500 (83.881)
Epoch: [74][4880/9018]	Time 0.613 (0.625)	Data 0.008 (0.004)	Loss 1.7258 (1.6772)	Prec@1 53.500 (55.097)	Prec@5 82.000 (83.883)
Epoch: [74][4890/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6255 (1.6771)	Prec@1 54.500 (55.100)	Prec@5 87.000 (83.885)
Epoch: [74][4900/9018]	Time 0.602 (0.625)	Data 0.007 (0.004)	Loss 1.5166 (1.6770)	Prec@1 59.500 (55.103)	Prec@5 87.000 (83.886)
Epoch: [74][4910/9018]	Time 0.639 (0.625)	Data 0.015 (0.004)	Loss 1.6158 (1.6770)	Prec@1 57.500 (55.102)	Prec@5 85.000 (83.885)
Epoch: [74][4920/9018]	Time 0.611 (0.625)	Data 0.002 (0.004)	Loss 1.8601 (1.6771)	Prec@1 49.000 (55.101)	Prec@5 81.000 (83.885)
Epoch: [74][4930/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.7237 (1.6771)	Prec@1 54.000 (55.101)	Prec@5 83.500 (83.882)
Epoch: [74][4940/9018]	Time 0.639 (0.625)	Data 0.017 (0.004)	Loss 1.6358 (1.6771)	Prec@1 53.500 (55.101)	Prec@5 83.500 (83.882)
Epoch: [74][4950/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.8347 (1.6770)	Prec@1 53.500 (55.103)	Prec@5 84.500 (83.883)
Epoch: [74][4960/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.7708 (1.6771)	Prec@1 55.000 (55.102)	Prec@5 80.500 (83.882)
Epoch: [74][4970/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.7936 (1.6772)	Prec@1 53.000 (55.097)	Prec@5 84.000 (83.881)
Epoch: [74][4980/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.3894 (1.6771)	Prec@1 59.500 (55.097)	Prec@5 87.500 (83.882)
Epoch: [74][4990/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.7646 (1.6771)	Prec@1 55.000 (55.097)	Prec@5 84.000 (83.883)
Epoch: [74][5000/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.8932 (1.6772)	Prec@1 52.500 (55.094)	Prec@5 81.500 (83.882)
Epoch: [74][5010/9018]	Time 0.621 (0.625)	Data 0.014 (0.004)	Loss 1.4425 (1.6772)	Prec@1 57.500 (55.093)	Prec@5 89.500 (83.882)
Epoch: [74][5020/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.8727 (1.6772)	Prec@1 52.000 (55.093)	Prec@5 82.000 (83.880)
Epoch: [74][5030/9018]	Time 0.739 (0.625)	Data 0.012 (0.004)	Loss 1.6644 (1.6772)	Prec@1 56.000 (55.094)	Prec@5 81.500 (83.880)
Epoch: [74][5040/9018]	Time 0.642 (0.625)	Data 0.001 (0.004)	Loss 1.6574 (1.6773)	Prec@1 55.500 (55.093)	Prec@5 81.500 (83.877)
Epoch: [74][5050/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.6272 (1.6773)	Prec@1 58.000 (55.092)	Prec@5 82.000 (83.875)
Epoch: [74][5060/9018]	Time 0.630 (0.625)	Data 0.015 (0.004)	Loss 1.5946 (1.6773)	Prec@1 55.000 (55.092)	Prec@5 83.000 (83.875)
Epoch: [74][5070/9018]	Time 0.638 (0.625)	Data 0.001 (0.004)	Loss 1.8202 (1.6773)	Prec@1 51.000 (55.094)	Prec@5 84.500 (83.876)
Epoch: [74][5080/9018]	Time 0.739 (0.625)	Data 0.001 (0.004)	Loss 1.6604 (1.6773)	Prec@1 57.500 (55.095)	Prec@5 81.500 (83.877)
Epoch: [74][5090/9018]	Time 0.664 (0.625)	Data 0.001 (0.004)	Loss 1.8708 (1.6773)	Prec@1 51.500 (55.096)	Prec@5 82.500 (83.877)
Epoch: [74][5100/9018]	Time 0.617 (0.625)	Data 0.002 (0.004)	Loss 1.6334 (1.6773)	Prec@1 55.500 (55.094)	Prec@5 84.500 (83.879)
Epoch: [74][5110/9018]	Time 0.619 (0.625)	Data 0.017 (0.004)	Loss 1.5286 (1.6773)	Prec@1 59.500 (55.091)	Prec@5 87.000 (83.878)
Epoch: [74][5120/9018]	Time 0.624 (0.625)	Data 0.016 (0.004)	Loss 1.8167 (1.6774)	Prec@1 54.500 (55.089)	Prec@5 81.500 (83.876)
Epoch: [74][5130/9018]	Time 0.603 (0.625)	Data 0.003 (0.004)	Loss 1.5821 (1.6774)	Prec@1 54.000 (55.088)	Prec@5 90.500 (83.878)
Epoch: [74][5140/9018]	Time 0.639 (0.625)	Data 0.002 (0.004)	Loss 1.6632 (1.6774)	Prec@1 56.500 (55.089)	Prec@5 81.000 (83.877)
Epoch: [74][5150/9018]	Time 0.645 (0.625)	Data 0.006 (0.004)	Loss 1.7539 (1.6774)	Prec@1 50.000 (55.091)	Prec@5 83.500 (83.880)
Epoch: [74][5160/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.7324 (1.6773)	Prec@1 54.500 (55.092)	Prec@5 82.000 (83.881)
Epoch: [74][5170/9018]	Time 0.646 (0.625)	Data 0.001 (0.004)	Loss 1.8180 (1.6773)	Prec@1 53.000 (55.094)	Prec@5 82.000 (83.882)
Epoch: [74][5180/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.5790 (1.6773)	Prec@1 61.000 (55.096)	Prec@5 84.000 (83.881)
Epoch: [74][5190/9018]	Time 0.624 (0.625)	Data 0.002 (0.004)	Loss 1.4572 (1.6771)	Prec@1 62.000 (55.102)	Prec@5 90.000 (83.884)
Epoch: [74][5200/9018]	Time 0.604 (0.625)	Data 0.005 (0.004)	Loss 1.7299 (1.6771)	Prec@1 49.500 (55.101)	Prec@5 84.000 (83.884)
Epoch: [74][5210/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.7606 (1.6772)	Prec@1 51.000 (55.099)	Prec@5 83.500 (83.884)
Epoch: [74][5220/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.6159 (1.6772)	Prec@1 58.500 (55.100)	Prec@5 82.500 (83.886)
Epoch: [74][5230/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.6799 (1.6770)	Prec@1 57.000 (55.103)	Prec@5 86.000 (83.889)
Epoch: [74][5240/9018]	Time 0.621 (0.625)	Data 0.016 (0.004)	Loss 1.5583 (1.6771)	Prec@1 56.500 (55.102)	Prec@5 83.000 (83.888)
Epoch: [74][5250/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.5178 (1.6770)	Prec@1 55.000 (55.104)	Prec@5 87.500 (83.889)
Epoch: [74][5260/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.6507 (1.6770)	Prec@1 55.500 (55.103)	Prec@5 84.500 (83.888)
Epoch: [74][5270/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.8050 (1.6770)	Prec@1 51.000 (55.104)	Prec@5 81.000 (83.889)
Epoch: [74][5280/9018]	Time 0.607 (0.625)	Data 0.017 (0.004)	Loss 1.6028 (1.6769)	Prec@1 59.500 (55.107)	Prec@5 83.000 (83.891)
Epoch: [74][5290/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.7046 (1.6770)	Prec@1 51.000 (55.103)	Prec@5 85.000 (83.889)
Epoch: [74][5300/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.8012 (1.6770)	Prec@1 52.500 (55.101)	Prec@5 83.000 (83.891)
Epoch: [74][5310/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.6403 (1.6771)	Prec@1 53.000 (55.097)	Prec@5 84.500 (83.890)
Epoch: [74][5320/9018]	Time 0.651 (0.625)	Data 0.001 (0.004)	Loss 1.6566 (1.6771)	Prec@1 54.500 (55.095)	Prec@5 85.000 (83.888)
Epoch: [74][5330/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.7856 (1.6771)	Prec@1 51.500 (55.094)	Prec@5 82.000 (83.888)
Epoch: [74][5340/9018]	Time 0.601 (0.625)	Data 0.013 (0.004)	Loss 1.7841 (1.6774)	Prec@1 53.500 (55.091)	Prec@5 84.000 (83.884)
Epoch: [74][5350/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.5318 (1.6774)	Prec@1 57.500 (55.093)	Prec@5 86.000 (83.883)
Epoch: [74][5360/9018]	Time 0.765 (0.625)	Data 0.001 (0.004)	Loss 1.8757 (1.6775)	Prec@1 55.500 (55.091)	Prec@5 81.000 (83.882)
Epoch: [74][5370/9018]	Time 0.617 (0.625)	Data 0.004 (0.004)	Loss 1.8870 (1.6775)	Prec@1 52.000 (55.092)	Prec@5 81.500 (83.882)
Epoch: [74][5380/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.5693 (1.6774)	Prec@1 59.000 (55.094)	Prec@5 85.000 (83.884)
Epoch: [74][5390/9018]	Time 0.611 (0.625)	Data 0.016 (0.004)	Loss 1.6310 (1.6774)	Prec@1 52.000 (55.093)	Prec@5 84.000 (83.884)
Epoch: [74][5400/9018]	Time 0.626 (0.625)	Data 0.002 (0.004)	Loss 1.4811 (1.6773)	Prec@1 62.000 (55.095)	Prec@5 86.500 (83.887)
Epoch: [74][5410/9018]	Time 0.752 (0.625)	Data 0.001 (0.004)	Loss 1.6541 (1.6774)	Prec@1 57.500 (55.095)	Prec@5 83.000 (83.887)
Epoch: [74][5420/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.6530 (1.6774)	Prec@1 54.500 (55.094)	Prec@5 82.500 (83.885)
Epoch: [74][5430/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.9420 (1.6773)	Prec@1 51.000 (55.095)	Prec@5 76.000 (83.886)
Epoch: [74][5440/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.6558 (1.6773)	Prec@1 54.500 (55.095)	Prec@5 83.000 (83.886)
Epoch: [74][5450/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.4535 (1.6773)	Prec@1 59.000 (55.097)	Prec@5 91.000 (83.885)
Epoch: [74][5460/9018]	Time 0.644 (0.625)	Data 0.001 (0.004)	Loss 1.6356 (1.6774)	Prec@1 51.000 (55.094)	Prec@5 84.500 (83.883)
Epoch: [74][5470/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.7298 (1.6773)	Prec@1 53.000 (55.095)	Prec@5 85.500 (83.884)
Epoch: [74][5480/9018]	Time 0.652 (0.625)	Data 0.001 (0.004)	Loss 1.6111 (1.6773)	Prec@1 55.000 (55.095)	Prec@5 86.500 (83.885)
Epoch: [74][5490/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.8909 (1.6773)	Prec@1 55.000 (55.095)	Prec@5 81.500 (83.885)
Epoch: [74][5500/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.5983 (1.6774)	Prec@1 55.500 (55.093)	Prec@5 85.000 (83.885)
Epoch: [74][5510/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.5920 (1.6773)	Prec@1 57.500 (55.097)	Prec@5 87.500 (83.887)
Epoch: [74][5520/9018]	Time 0.625 (0.625)	Data 0.017 (0.004)	Loss 1.7336 (1.6774)	Prec@1 50.000 (55.092)	Prec@5 83.500 (83.885)
Epoch: [74][5530/9018]	Time 0.626 (0.625)	Data 0.001 (0.004)	Loss 1.7569 (1.6774)	Prec@1 52.500 (55.091)	Prec@5 84.500 (83.883)
Epoch: [74][5540/9018]	Time 0.629 (0.625)	Data 0.002 (0.004)	Loss 1.6386 (1.6774)	Prec@1 55.000 (55.090)	Prec@5 85.000 (83.884)
Epoch: [74][5550/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.4955 (1.6773)	Prec@1 52.000 (55.088)	Prec@5 85.000 (83.886)
Epoch: [74][5560/9018]	Time 0.645 (0.625)	Data 0.013 (0.004)	Loss 1.6293 (1.6774)	Prec@1 56.000 (55.086)	Prec@5 84.000 (83.887)
Epoch: [74][5570/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.5924 (1.6774)	Prec@1 58.500 (55.087)	Prec@5 84.500 (83.885)
Epoch: [74][5580/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.5818 (1.6774)	Prec@1 54.500 (55.084)	Prec@5 82.500 (83.884)
Epoch: [74][5590/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.7658 (1.6775)	Prec@1 48.000 (55.084)	Prec@5 86.000 (83.883)
Epoch: [74][5600/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.7093 (1.6775)	Prec@1 53.500 (55.082)	Prec@5 84.000 (83.884)
Epoch: [74][5610/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.6207 (1.6776)	Prec@1 57.500 (55.083)	Prec@5 83.500 (83.882)
Epoch: [74][5620/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.7786 (1.6776)	Prec@1 54.500 (55.081)	Prec@5 82.000 (83.882)
Epoch: [74][5630/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.7268 (1.6777)	Prec@1 55.500 (55.079)	Prec@5 81.500 (83.881)
Epoch: [74][5640/9018]	Time 0.598 (0.625)	Data 0.001 (0.004)	Loss 1.6823 (1.6776)	Prec@1 54.500 (55.079)	Prec@5 87.500 (83.883)
Epoch: [74][5650/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.7825 (1.6779)	Prec@1 55.500 (55.074)	Prec@5 81.500 (83.878)
Epoch: [74][5660/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.7327 (1.6779)	Prec@1 52.000 (55.073)	Prec@5 83.500 (83.878)
Epoch: [74][5670/9018]	Time 0.636 (0.625)	Data 0.001 (0.004)	Loss 1.8581 (1.6780)	Prec@1 51.500 (55.072)	Prec@5 80.000 (83.875)
Epoch: [74][5680/9018]	Time 0.632 (0.625)	Data 0.002 (0.004)	Loss 1.8894 (1.6780)	Prec@1 53.000 (55.070)	Prec@5 77.500 (83.874)
Epoch: [74][5690/9018]	Time 0.770 (0.625)	Data 0.001 (0.004)	Loss 1.4597 (1.6780)	Prec@1 64.500 (55.074)	Prec@5 85.500 (83.873)
Epoch: [74][5700/9018]	Time 0.629 (0.625)	Data 0.014 (0.004)	Loss 1.5377 (1.6780)	Prec@1 57.000 (55.075)	Prec@5 89.500 (83.873)
Epoch: [74][5710/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.5508 (1.6779)	Prec@1 59.500 (55.079)	Prec@5 84.500 (83.874)
Epoch: [74][5720/9018]	Time 0.619 (0.625)	Data 0.015 (0.004)	Loss 1.4546 (1.6779)	Prec@1 60.500 (55.079)	Prec@5 86.000 (83.873)
Epoch: [74][5730/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.7198 (1.6780)	Prec@1 51.000 (55.077)	Prec@5 81.500 (83.870)
Epoch: [74][5740/9018]	Time 0.738 (0.625)	Data 0.008 (0.004)	Loss 1.6491 (1.6779)	Prec@1 56.000 (55.078)	Prec@5 83.500 (83.872)
Epoch: [74][5750/9018]	Time 0.620 (0.625)	Data 0.014 (0.004)	Loss 1.7712 (1.6779)	Prec@1 55.500 (55.078)	Prec@5 81.000 (83.871)
Epoch: [74][5760/9018]	Time 0.620 (0.625)	Data 0.007 (0.004)	Loss 1.5712 (1.6780)	Prec@1 55.000 (55.078)	Prec@5 88.000 (83.870)
Epoch: [74][5770/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7234 (1.6780)	Prec@1 57.500 (55.077)	Prec@5 81.500 (83.870)
Epoch: [74][5780/9018]	Time 0.609 (0.625)	Data 0.016 (0.004)	Loss 1.6327 (1.6780)	Prec@1 54.500 (55.079)	Prec@5 85.500 (83.869)
Epoch: [74][5790/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.6862 (1.6781)	Prec@1 53.500 (55.076)	Prec@5 82.500 (83.869)
Epoch: [74][5800/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.7679 (1.6781)	Prec@1 49.500 (55.073)	Prec@5 85.000 (83.869)
Epoch: [74][5810/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 2.1017 (1.6782)	Prec@1 45.000 (55.072)	Prec@5 75.500 (83.866)
Epoch: [74][5820/9018]	Time 0.625 (0.625)	Data 0.025 (0.004)	Loss 1.5047 (1.6782)	Prec@1 61.500 (55.072)	Prec@5 86.000 (83.868)
Epoch: [74][5830/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.6373 (1.6783)	Prec@1 57.500 (55.071)	Prec@5 84.500 (83.866)
Epoch: [74][5840/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.7553 (1.6783)	Prec@1 54.000 (55.069)	Prec@5 82.500 (83.865)
Epoch: [74][5850/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.6023 (1.6783)	Prec@1 56.500 (55.069)	Prec@5 83.500 (83.864)
Epoch: [74][5860/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.8404 (1.6785)	Prec@1 52.500 (55.065)	Prec@5 83.000 (83.861)
Epoch: [74][5870/9018]	Time 0.598 (0.625)	Data 0.002 (0.004)	Loss 1.7668 (1.6785)	Prec@1 54.500 (55.064)	Prec@5 84.500 (83.861)
Epoch: [74][5880/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.6108 (1.6786)	Prec@1 54.500 (55.061)	Prec@5 84.500 (83.860)
Epoch: [74][5890/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.7380 (1.6786)	Prec@1 54.000 (55.057)	Prec@5 83.500 (83.859)
Epoch: [74][5900/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.8422 (1.6786)	Prec@1 56.000 (55.055)	Prec@5 81.500 (83.860)
Epoch: [74][5910/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.6798 (1.6787)	Prec@1 54.000 (55.054)	Prec@5 84.500 (83.859)
Epoch: [74][5920/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.5402 (1.6788)	Prec@1 58.500 (55.052)	Prec@5 86.000 (83.857)
Epoch: [74][5930/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.7962 (1.6789)	Prec@1 52.000 (55.050)	Prec@5 82.000 (83.855)
Epoch: [74][5940/9018]	Time 0.627 (0.625)	Data 0.017 (0.004)	Loss 1.8659 (1.6789)	Prec@1 52.000 (55.048)	Prec@5 82.500 (83.855)
Epoch: [74][5950/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.6713 (1.6790)	Prec@1 55.500 (55.045)	Prec@5 86.000 (83.855)
Epoch: [74][5960/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.4871 (1.6790)	Prec@1 58.000 (55.043)	Prec@5 84.500 (83.853)
Epoch: [74][5970/9018]	Time 0.615 (0.625)	Data 0.015 (0.004)	Loss 1.5387 (1.6791)	Prec@1 56.500 (55.042)	Prec@5 87.500 (83.855)
Epoch: [74][5980/9018]	Time 0.618 (0.625)	Data 0.002 (0.004)	Loss 1.7367 (1.6791)	Prec@1 56.000 (55.044)	Prec@5 82.500 (83.855)
Epoch: [74][5990/9018]	Time 0.607 (0.625)	Data 0.004 (0.004)	Loss 1.5679 (1.6791)	Prec@1 55.000 (55.044)	Prec@5 85.500 (83.855)
Epoch: [74][6000/9018]	Time 0.614 (0.625)	Data 0.017 (0.004)	Loss 1.8696 (1.6792)	Prec@1 49.000 (55.040)	Prec@5 78.500 (83.855)
Epoch: [74][6010/9018]	Time 0.608 (0.625)	Data 0.017 (0.004)	Loss 1.6618 (1.6791)	Prec@1 56.500 (55.041)	Prec@5 84.500 (83.855)
Epoch: [74][6020/9018]	Time 0.739 (0.625)	Data 0.001 (0.004)	Loss 1.5580 (1.6792)	Prec@1 60.000 (55.040)	Prec@5 87.500 (83.854)
Epoch: [74][6030/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7089 (1.6793)	Prec@1 51.500 (55.037)	Prec@5 84.500 (83.853)
Epoch: [74][6040/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6426 (1.6793)	Prec@1 53.500 (55.036)	Prec@5 86.000 (83.853)
Epoch: [74][6050/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.5984 (1.6793)	Prec@1 54.500 (55.034)	Prec@5 86.000 (83.853)
Epoch: [74][6060/9018]	Time 0.607 (0.625)	Data 0.010 (0.004)	Loss 1.5474 (1.6793)	Prec@1 62.500 (55.035)	Prec@5 85.500 (83.853)
Epoch: [74][6070/9018]	Time 0.723 (0.625)	Data 0.001 (0.004)	Loss 1.4759 (1.6793)	Prec@1 55.500 (55.034)	Prec@5 87.500 (83.853)
Epoch: [74][6080/9018]	Time 0.637 (0.625)	Data 0.001 (0.004)	Loss 1.7852 (1.6794)	Prec@1 51.000 (55.030)	Prec@5 86.500 (83.852)
Epoch: [74][6090/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.3705 (1.6794)	Prec@1 65.000 (55.031)	Prec@5 88.000 (83.852)
Epoch: [74][6100/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.7612 (1.6794)	Prec@1 52.500 (55.030)	Prec@5 79.000 (83.852)
Epoch: [74][6110/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.5217 (1.6795)	Prec@1 58.500 (55.029)	Prec@5 86.000 (83.852)
Epoch: [74][6120/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.8068 (1.6796)	Prec@1 52.500 (55.027)	Prec@5 82.500 (83.851)
Epoch: [74][6130/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.6262 (1.6795)	Prec@1 57.500 (55.028)	Prec@5 84.500 (83.851)
Epoch: [74][6140/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.6688 (1.6797)	Prec@1 49.000 (55.025)	Prec@5 83.000 (83.848)
Epoch: [74][6150/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.6689 (1.6796)	Prec@1 55.000 (55.026)	Prec@5 84.500 (83.847)
Epoch: [74][6160/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.7532 (1.6796)	Prec@1 55.500 (55.028)	Prec@5 81.000 (83.846)
Epoch: [74][6170/9018]	Time 0.653 (0.625)	Data 0.001 (0.004)	Loss 1.7080 (1.6796)	Prec@1 58.000 (55.028)	Prec@5 83.500 (83.848)
Epoch: [74][6180/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.8431 (1.6796)	Prec@1 50.000 (55.026)	Prec@5 80.000 (83.846)
Epoch: [74][6190/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.6804 (1.6796)	Prec@1 56.000 (55.026)	Prec@5 86.000 (83.849)
Epoch: [74][6200/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.6709 (1.6795)	Prec@1 54.000 (55.025)	Prec@5 81.000 (83.850)
Epoch: [74][6210/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.7209 (1.6795)	Prec@1 52.000 (55.028)	Prec@5 81.000 (83.850)
Epoch: [74][6220/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.6246 (1.6796)	Prec@1 54.500 (55.027)	Prec@5 87.500 (83.850)
Epoch: [74][6230/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.6715 (1.6796)	Prec@1 52.000 (55.027)	Prec@5 85.500 (83.852)
Epoch: [74][6240/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.5162 (1.6795)	Prec@1 59.000 (55.030)	Prec@5 86.000 (83.854)
Epoch: [74][6250/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.8269 (1.6796)	Prec@1 49.000 (55.028)	Prec@5 82.000 (83.854)
Epoch: [74][6260/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6104 (1.6796)	Prec@1 51.500 (55.029)	Prec@5 86.000 (83.856)
Epoch: [74][6270/9018]	Time 0.659 (0.625)	Data 0.001 (0.004)	Loss 1.8477 (1.6795)	Prec@1 51.000 (55.031)	Prec@5 81.500 (83.859)
Epoch: [74][6280/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.7827 (1.6795)	Prec@1 57.000 (55.031)	Prec@5 83.000 (83.857)
Epoch: [74][6290/9018]	Time 0.625 (0.625)	Data 0.013 (0.004)	Loss 1.5932 (1.6795)	Prec@1 61.000 (55.031)	Prec@5 88.000 (83.859)
Epoch: [74][6300/9018]	Time 0.650 (0.625)	Data 0.001 (0.004)	Loss 1.7824 (1.6796)	Prec@1 54.000 (55.030)	Prec@5 84.500 (83.858)
Epoch: [74][6310/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7603 (1.6796)	Prec@1 55.000 (55.030)	Prec@5 85.000 (83.859)
Epoch: [74][6320/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.5866 (1.6796)	Prec@1 61.500 (55.030)	Prec@5 84.000 (83.859)
Epoch: [74][6330/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.9412 (1.6795)	Prec@1 49.500 (55.029)	Prec@5 79.000 (83.861)
Epoch: [74][6340/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.4932 (1.6795)	Prec@1 61.000 (55.030)	Prec@5 85.500 (83.862)
Epoch: [74][6350/9018]	Time 0.814 (0.625)	Data 0.001 (0.004)	Loss 1.6355 (1.6796)	Prec@1 58.000 (55.031)	Prec@5 85.500 (83.861)
Epoch: [74][6360/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.5554 (1.6796)	Prec@1 55.500 (55.030)	Prec@5 87.000 (83.860)
Epoch: [74][6370/9018]	Time 0.638 (0.625)	Data 0.009 (0.004)	Loss 1.6978 (1.6796)	Prec@1 55.500 (55.028)	Prec@5 87.500 (83.861)
Epoch: [74][6380/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.8143 (1.6798)	Prec@1 50.500 (55.023)	Prec@5 83.000 (83.859)
Epoch: [74][6390/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.7433 (1.6799)	Prec@1 54.500 (55.020)	Prec@5 84.000 (83.858)
Epoch: [74][6400/9018]	Time 0.762 (0.625)	Data 0.001 (0.004)	Loss 1.5988 (1.6799)	Prec@1 55.500 (55.019)	Prec@5 88.000 (83.857)
Epoch: [74][6410/9018]	Time 0.594 (0.625)	Data 0.013 (0.004)	Loss 1.4590 (1.6798)	Prec@1 60.000 (55.022)	Prec@5 87.500 (83.857)
Epoch: [74][6420/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.8642 (1.6799)	Prec@1 54.500 (55.020)	Prec@5 79.000 (83.856)
Epoch: [74][6430/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.6542 (1.6799)	Prec@1 58.000 (55.020)	Prec@5 81.500 (83.857)
Epoch: [74][6440/9018]	Time 0.644 (0.625)	Data 0.001 (0.004)	Loss 1.8292 (1.6800)	Prec@1 46.500 (55.016)	Prec@5 83.500 (83.856)
Epoch: [74][6450/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.6043 (1.6800)	Prec@1 57.500 (55.018)	Prec@5 86.500 (83.855)
Epoch: [74][6460/9018]	Time 0.618 (0.625)	Data 0.016 (0.004)	Loss 1.7518 (1.6800)	Prec@1 55.500 (55.019)	Prec@5 83.500 (83.855)
Epoch: [74][6470/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6734 (1.6800)	Prec@1 58.500 (55.020)	Prec@5 82.500 (83.852)
Epoch: [74][6480/9018]	Time 0.626 (0.625)	Data 0.002 (0.004)	Loss 1.7116 (1.6800)	Prec@1 59.500 (55.021)	Prec@5 81.500 (83.852)
Epoch: [74][6490/9018]	Time 0.594 (0.625)	Data 0.001 (0.004)	Loss 1.6037 (1.6800)	Prec@1 62.000 (55.021)	Prec@5 86.000 (83.851)
Epoch: [74][6500/9018]	Time 0.608 (0.625)	Data 0.002 (0.004)	Loss 1.6190 (1.6800)	Prec@1 53.500 (55.020)	Prec@5 85.500 (83.852)
Epoch: [74][6510/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6808 (1.6800)	Prec@1 55.000 (55.020)	Prec@5 85.500 (83.852)
Epoch: [74][6520/9018]	Time 0.624 (0.625)	Data 0.014 (0.004)	Loss 1.6073 (1.6800)	Prec@1 62.000 (55.022)	Prec@5 85.500 (83.851)
Epoch: [74][6530/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.8007 (1.6800)	Prec@1 54.000 (55.024)	Prec@5 81.000 (83.851)
Epoch: [74][6540/9018]	Time 0.638 (0.625)	Data 0.003 (0.004)	Loss 1.6733 (1.6801)	Prec@1 56.000 (55.024)	Prec@5 84.000 (83.849)
Epoch: [74][6550/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.6438 (1.6801)	Prec@1 56.000 (55.023)	Prec@5 84.500 (83.850)
Epoch: [74][6560/9018]	Time 0.622 (0.625)	Data 0.013 (0.004)	Loss 1.5666 (1.6801)	Prec@1 61.000 (55.022)	Prec@5 85.000 (83.850)
Epoch: [74][6570/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.8635 (1.6802)	Prec@1 52.500 (55.023)	Prec@5 81.000 (83.849)
Epoch: [74][6580/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 1.6851 (1.6802)	Prec@1 55.000 (55.023)	Prec@5 82.500 (83.849)
Epoch: [74][6590/9018]	Time 0.603 (0.625)	Data 0.005 (0.004)	Loss 1.6495 (1.6801)	Prec@1 56.000 (55.025)	Prec@5 86.000 (83.850)
Epoch: [74][6600/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.7052 (1.6802)	Prec@1 54.000 (55.024)	Prec@5 82.500 (83.848)
Epoch: [74][6610/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.5193 (1.6801)	Prec@1 59.500 (55.026)	Prec@5 87.000 (83.850)
Epoch: [74][6620/9018]	Time 0.610 (0.625)	Data 0.016 (0.004)	Loss 1.6472 (1.6801)	Prec@1 55.500 (55.025)	Prec@5 79.500 (83.851)
Epoch: [74][6630/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.5420 (1.6800)	Prec@1 55.000 (55.027)	Prec@5 85.500 (83.852)
Epoch: [74][6640/9018]	Time 0.607 (0.625)	Data 0.013 (0.004)	Loss 1.6700 (1.6800)	Prec@1 57.000 (55.029)	Prec@5 83.500 (83.853)
Epoch: [74][6650/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.7977 (1.6799)	Prec@1 54.000 (55.032)	Prec@5 81.000 (83.853)
Epoch: [74][6660/9018]	Time 0.602 (0.625)	Data 0.010 (0.004)	Loss 1.7034 (1.6800)	Prec@1 56.000 (55.031)	Prec@5 84.500 (83.852)
Epoch: [74][6670/9018]	Time 0.600 (0.625)	Data 0.006 (0.004)	Loss 1.5868 (1.6799)	Prec@1 57.000 (55.035)	Prec@5 84.000 (83.854)
Epoch: [74][6680/9018]	Time 0.779 (0.625)	Data 0.001 (0.004)	Loss 1.7163 (1.6799)	Prec@1 53.500 (55.034)	Prec@5 83.000 (83.853)
Epoch: [74][6690/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.4102 (1.6799)	Prec@1 63.000 (55.036)	Prec@5 88.000 (83.853)
Epoch: [74][6700/9018]	Time 0.593 (0.625)	Data 0.017 (0.004)	Loss 1.6643 (1.6800)	Prec@1 56.000 (55.032)	Prec@5 85.000 (83.851)
Epoch: [74][6710/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.6322 (1.6801)	Prec@1 59.000 (55.031)	Prec@5 83.500 (83.852)
Epoch: [74][6720/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.7882 (1.6801)	Prec@1 55.500 (55.029)	Prec@5 80.000 (83.849)
Epoch: [74][6730/9018]	Time 0.760 (0.625)	Data 0.001 (0.004)	Loss 1.8501 (1.6802)	Prec@1 53.000 (55.029)	Prec@5 79.000 (83.848)
Epoch: [74][6740/9018]	Time 0.610 (0.625)	Data 0.002 (0.004)	Loss 1.6909 (1.6801)	Prec@1 52.500 (55.028)	Prec@5 86.500 (83.850)
Epoch: [74][6750/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.7023 (1.6802)	Prec@1 54.000 (55.029)	Prec@5 85.000 (83.850)
Epoch: [74][6760/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.8064 (1.6802)	Prec@1 52.000 (55.027)	Prec@5 82.000 (83.849)
Epoch: [74][6770/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.7094 (1.6804)	Prec@1 53.500 (55.026)	Prec@5 82.000 (83.847)
Epoch: [74][6780/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.5241 (1.6804)	Prec@1 60.000 (55.026)	Prec@5 85.000 (83.847)
Epoch: [74][6790/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.6055 (1.6805)	Prec@1 59.500 (55.027)	Prec@5 84.500 (83.844)
Epoch: [74][6800/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.7143 (1.6805)	Prec@1 55.500 (55.026)	Prec@5 80.500 (83.842)
Epoch: [74][6810/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.6024 (1.6806)	Prec@1 57.000 (55.026)	Prec@5 85.500 (83.840)
Epoch: [74][6820/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.5548 (1.6805)	Prec@1 59.000 (55.029)	Prec@5 88.000 (83.841)
Epoch: [74][6830/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.6563 (1.6805)	Prec@1 58.500 (55.027)	Prec@5 86.500 (83.841)
Epoch: [74][6840/9018]	Time 0.640 (0.625)	Data 0.001 (0.004)	Loss 1.6991 (1.6805)	Prec@1 51.500 (55.027)	Prec@5 85.000 (83.842)
Epoch: [74][6850/9018]	Time 0.588 (0.625)	Data 0.001 (0.004)	Loss 1.9178 (1.6806)	Prec@1 49.000 (55.026)	Prec@5 77.500 (83.841)
Epoch: [74][6860/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.6668 (1.6806)	Prec@1 52.000 (55.026)	Prec@5 87.000 (83.841)
Epoch: [74][6870/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 2.0748 (1.6807)	Prec@1 50.500 (55.024)	Prec@5 79.000 (83.840)
Epoch: [74][6880/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.5699 (1.6808)	Prec@1 57.000 (55.022)	Prec@5 84.000 (83.838)
Epoch: [74][6890/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.6395 (1.6807)	Prec@1 56.500 (55.024)	Prec@5 82.000 (83.838)
Epoch: [74][6900/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.7315 (1.6808)	Prec@1 55.000 (55.023)	Prec@5 82.000 (83.837)
Epoch: [74][6910/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.6792 (1.6808)	Prec@1 58.000 (55.023)	Prec@5 81.500 (83.838)
Epoch: [74][6920/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.8740 (1.6808)	Prec@1 52.500 (55.023)	Prec@5 76.000 (83.836)
Epoch: [74][6930/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.6576 (1.6808)	Prec@1 57.500 (55.024)	Prec@5 84.500 (83.836)
Epoch: [74][6940/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.4823 (1.6809)	Prec@1 55.500 (55.020)	Prec@5 87.500 (83.834)
Epoch: [74][6950/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.9829 (1.6809)	Prec@1 49.500 (55.021)	Prec@5 80.500 (83.835)
Epoch: [74][6960/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.6739 (1.6809)	Prec@1 57.500 (55.023)	Prec@5 85.000 (83.836)
Epoch: [74][6970/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.6601 (1.6809)	Prec@1 59.500 (55.021)	Prec@5 81.500 (83.833)
Epoch: [74][6980/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.9944 (1.6809)	Prec@1 48.500 (55.021)	Prec@5 77.500 (83.833)
Epoch: [74][6990/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.7571 (1.6808)	Prec@1 54.000 (55.024)	Prec@5 81.000 (83.835)
Epoch: [74][7000/9018]	Time 0.595 (0.625)	Data 0.001 (0.004)	Loss 1.7183 (1.6808)	Prec@1 53.000 (55.024)	Prec@5 82.500 (83.835)
Epoch: [74][7010/9018]	Time 0.749 (0.624)	Data 0.001 (0.004)	Loss 1.7351 (1.6809)	Prec@1 55.000 (55.023)	Prec@5 82.000 (83.835)
Epoch: [74][7020/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.6953 (1.6808)	Prec@1 54.500 (55.023)	Prec@5 79.500 (83.834)
Epoch: [74][7030/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.5955 (1.6808)	Prec@1 57.000 (55.025)	Prec@5 83.500 (83.835)
Epoch: [74][7040/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.5817 (1.6809)	Prec@1 56.000 (55.024)	Prec@5 84.000 (83.831)
Epoch: [74][7050/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.8688 (1.6809)	Prec@1 51.000 (55.023)	Prec@5 81.500 (83.830)
Epoch: [74][7060/9018]	Time 0.720 (0.624)	Data 0.001 (0.004)	Loss 1.6054 (1.6810)	Prec@1 54.500 (55.021)	Prec@5 86.000 (83.828)
Epoch: [74][7070/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.7199 (1.6810)	Prec@1 55.000 (55.021)	Prec@5 80.500 (83.828)
Epoch: [74][7080/9018]	Time 0.592 (0.624)	Data 0.001 (0.004)	Loss 1.7752 (1.6810)	Prec@1 51.500 (55.021)	Prec@5 82.500 (83.829)
Epoch: [74][7090/9018]	Time 0.591 (0.624)	Data 0.001 (0.004)	Loss 1.5600 (1.6810)	Prec@1 57.500 (55.021)	Prec@5 84.500 (83.829)
Epoch: [74][7100/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.7050 (1.6810)	Prec@1 53.000 (55.020)	Prec@5 87.000 (83.829)
Epoch: [74][7110/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.4029 (1.6809)	Prec@1 59.000 (55.023)	Prec@5 88.000 (83.831)
Epoch: [74][7120/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.6088 (1.6809)	Prec@1 52.500 (55.023)	Prec@5 85.000 (83.831)
Epoch: [74][7130/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.5760 (1.6810)	Prec@1 54.000 (55.021)	Prec@5 88.000 (83.830)
Epoch: [74][7140/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.8361 (1.6811)	Prec@1 53.000 (55.019)	Prec@5 83.000 (83.829)
Epoch: [74][7150/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.5629 (1.6811)	Prec@1 59.000 (55.020)	Prec@5 86.000 (83.830)
Epoch: [74][7160/9018]	Time 0.591 (0.624)	Data 0.001 (0.004)	Loss 1.5062 (1.6812)	Prec@1 58.500 (55.019)	Prec@5 87.000 (83.828)
Epoch: [74][7170/9018]	Time 0.636 (0.624)	Data 0.001 (0.004)	Loss 1.5786 (1.6811)	Prec@1 56.500 (55.021)	Prec@5 86.000 (83.828)
Epoch: [74][7180/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.8866 (1.6812)	Prec@1 47.500 (55.019)	Prec@5 81.000 (83.828)
Epoch: [74][7190/9018]	Time 0.611 (0.624)	Data 0.001 (0.004)	Loss 1.8032 (1.6812)	Prec@1 56.500 (55.018)	Prec@5 79.000 (83.827)
Epoch: [74][7200/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.5780 (1.6811)	Prec@1 56.500 (55.022)	Prec@5 86.000 (83.828)
Epoch: [74][7210/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.6946 (1.6811)	Prec@1 53.000 (55.022)	Prec@5 82.000 (83.829)
Epoch: [74][7220/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.6980 (1.6811)	Prec@1 53.000 (55.022)	Prec@5 84.000 (83.828)
Epoch: [74][7230/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.9742 (1.6812)	Prec@1 46.000 (55.019)	Prec@5 76.500 (83.827)
Epoch: [74][7240/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.6096 (1.6813)	Prec@1 59.000 (55.017)	Prec@5 87.000 (83.825)
Epoch: [74][7250/9018]	Time 0.592 (0.624)	Data 0.001 (0.004)	Loss 1.5436 (1.6813)	Prec@1 54.500 (55.016)	Prec@5 86.000 (83.825)
Epoch: [74][7260/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.9086 (1.6813)	Prec@1 50.500 (55.016)	Prec@5 83.000 (83.824)
Epoch: [74][7270/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.7740 (1.6813)	Prec@1 47.500 (55.017)	Prec@5 83.000 (83.823)
Epoch: [74][7280/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.6157 (1.6812)	Prec@1 54.000 (55.019)	Prec@5 85.000 (83.825)
Epoch: [74][7290/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.9207 (1.6812)	Prec@1 49.500 (55.020)	Prec@5 80.000 (83.827)
Epoch: [74][7300/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.5638 (1.6812)	Prec@1 60.000 (55.021)	Prec@5 82.500 (83.827)
Epoch: [74][7310/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.6484 (1.6811)	Prec@1 51.000 (55.021)	Prec@5 83.500 (83.827)
Epoch: [74][7320/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.7978 (1.6812)	Prec@1 52.000 (55.021)	Prec@5 81.500 (83.827)
Epoch: [74][7330/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.7309 (1.6812)	Prec@1 58.000 (55.022)	Prec@5 82.000 (83.826)
Epoch: [74][7340/9018]	Time 0.751 (0.624)	Data 0.001 (0.004)	Loss 1.6212 (1.6812)	Prec@1 57.000 (55.024)	Prec@5 86.000 (83.825)
Epoch: [74][7350/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.4529 (1.6811)	Prec@1 60.500 (55.025)	Prec@5 88.000 (83.826)
Epoch: [74][7360/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.6045 (1.6812)	Prec@1 57.500 (55.025)	Prec@5 85.000 (83.825)
Epoch: [74][7370/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 2.0095 (1.6813)	Prec@1 49.000 (55.024)	Prec@5 80.500 (83.824)
Epoch: [74][7380/9018]	Time 0.592 (0.624)	Data 0.001 (0.004)	Loss 1.6654 (1.6812)	Prec@1 57.500 (55.025)	Prec@5 83.000 (83.825)
Epoch: [74][7390/9018]	Time 0.708 (0.624)	Data 0.001 (0.004)	Loss 1.7291 (1.6812)	Prec@1 55.000 (55.027)	Prec@5 81.000 (83.825)
Epoch: [74][7400/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.7243 (1.6812)	Prec@1 56.500 (55.026)	Prec@5 83.000 (83.826)
Epoch: [74][7410/9018]	Time 0.596 (0.624)	Data 0.001 (0.004)	Loss 1.8298 (1.6811)	Prec@1 51.500 (55.028)	Prec@5 81.000 (83.825)
Epoch: [74][7420/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.8048 (1.6811)	Prec@1 50.000 (55.027)	Prec@5 80.000 (83.825)
Epoch: [74][7430/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.7207 (1.6812)	Prec@1 58.000 (55.027)	Prec@5 83.000 (83.823)
Epoch: [74][7440/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.6500 (1.6813)	Prec@1 57.500 (55.025)	Prec@5 83.500 (83.821)
Epoch: [74][7450/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.6657 (1.6812)	Prec@1 55.500 (55.028)	Prec@5 82.000 (83.822)
Epoch: [74][7460/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.7941 (1.6813)	Prec@1 57.000 (55.027)	Prec@5 84.500 (83.821)
Epoch: [74][7470/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.6907 (1.6813)	Prec@1 55.500 (55.026)	Prec@5 85.500 (83.820)
Epoch: [74][7480/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.7397 (1.6813)	Prec@1 56.500 (55.030)	Prec@5 79.000 (83.819)
Epoch: [74][7490/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.9002 (1.6812)	Prec@1 50.000 (55.031)	Prec@5 81.000 (83.821)
Epoch: [74][7500/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.5400 (1.6811)	Prec@1 56.500 (55.032)	Prec@5 85.000 (83.822)
Epoch: [74][7510/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.7410 (1.6811)	Prec@1 53.000 (55.032)	Prec@5 85.000 (83.822)
Epoch: [74][7520/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.5468 (1.6812)	Prec@1 56.500 (55.030)	Prec@5 88.000 (83.821)
Epoch: [74][7530/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.6211 (1.6812)	Prec@1 55.500 (55.028)	Prec@5 87.000 (83.820)
Epoch: [74][7540/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7285 (1.6813)	Prec@1 55.000 (55.028)	Prec@5 82.000 (83.819)
Epoch: [74][7550/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.5694 (1.6812)	Prec@1 56.000 (55.028)	Prec@5 85.500 (83.821)
Epoch: [74][7560/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6977 (1.6812)	Prec@1 54.000 (55.027)	Prec@5 83.000 (83.821)
Epoch: [74][7570/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.3975 (1.6812)	Prec@1 60.500 (55.024)	Prec@5 91.000 (83.822)
Epoch: [74][7580/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.6944 (1.6812)	Prec@1 52.000 (55.023)	Prec@5 83.500 (83.822)
Epoch: [74][7590/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6628 (1.6812)	Prec@1 54.000 (55.021)	Prec@5 84.500 (83.822)
Epoch: [74][7600/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6449 (1.6812)	Prec@1 55.000 (55.022)	Prec@5 83.000 (83.822)
Epoch: [74][7610/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.4728 (1.6812)	Prec@1 57.500 (55.023)	Prec@5 89.500 (83.822)
Epoch: [74][7620/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.5370 (1.6811)	Prec@1 62.500 (55.025)	Prec@5 83.000 (83.822)
Epoch: [74][7630/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7503 (1.6812)	Prec@1 53.000 (55.022)	Prec@5 79.500 (83.820)
Epoch: [74][7640/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6698 (1.6812)	Prec@1 57.000 (55.025)	Prec@5 82.500 (83.820)
Epoch: [74][7650/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.5322 (1.6811)	Prec@1 56.500 (55.024)	Prec@5 85.000 (83.821)
Epoch: [74][7660/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.7349 (1.6812)	Prec@1 51.500 (55.023)	Prec@5 82.500 (83.819)
Epoch: [74][7670/9018]	Time 0.709 (0.623)	Data 0.001 (0.003)	Loss 1.6941 (1.6812)	Prec@1 51.500 (55.021)	Prec@5 85.500 (83.818)
Epoch: [74][7680/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.5363 (1.6813)	Prec@1 60.000 (55.021)	Prec@5 85.500 (83.818)
Epoch: [74][7690/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.6455 (1.6813)	Prec@1 55.500 (55.022)	Prec@5 86.000 (83.817)
Epoch: [74][7700/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.5082 (1.6813)	Prec@1 59.000 (55.022)	Prec@5 87.000 (83.818)
Epoch: [74][7710/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8058 (1.6813)	Prec@1 55.500 (55.021)	Prec@5 81.500 (83.819)
Epoch: [74][7720/9018]	Time 0.758 (0.623)	Data 0.002 (0.003)	Loss 1.8211 (1.6813)	Prec@1 49.500 (55.022)	Prec@5 82.500 (83.818)
Epoch: [74][7730/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6824 (1.6813)	Prec@1 52.500 (55.021)	Prec@5 82.000 (83.818)
Epoch: [74][7740/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7368 (1.6813)	Prec@1 54.500 (55.023)	Prec@5 84.500 (83.818)
Epoch: [74][7750/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.8508 (1.6814)	Prec@1 54.000 (55.021)	Prec@5 82.500 (83.819)
Epoch: [74][7760/9018]	Time 0.606 (0.623)	Data 0.002 (0.003)	Loss 1.7338 (1.6813)	Prec@1 50.500 (55.022)	Prec@5 82.000 (83.820)
Epoch: [74][7770/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.5041 (1.6813)	Prec@1 64.500 (55.022)	Prec@5 86.500 (83.819)
Epoch: [74][7780/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8189 (1.6815)	Prec@1 49.500 (55.018)	Prec@5 80.000 (83.817)
Epoch: [74][7790/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7724 (1.6815)	Prec@1 50.500 (55.016)	Prec@5 84.500 (83.816)
Epoch: [74][7800/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6603 (1.6815)	Prec@1 53.000 (55.014)	Prec@5 81.000 (83.816)
Epoch: [74][7810/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.5690 (1.6816)	Prec@1 55.000 (55.012)	Prec@5 86.500 (83.815)
Epoch: [74][7820/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.4698 (1.6815)	Prec@1 63.500 (55.013)	Prec@5 87.500 (83.817)
Epoch: [74][7830/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.5539 (1.6815)	Prec@1 63.000 (55.011)	Prec@5 86.000 (83.818)
Epoch: [74][7840/9018]	Time 0.586 (0.623)	Data 0.001 (0.003)	Loss 1.7745 (1.6816)	Prec@1 52.000 (55.010)	Prec@5 82.000 (83.817)
Epoch: [74][7850/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7927 (1.6816)	Prec@1 53.000 (55.011)	Prec@5 83.000 (83.817)
Epoch: [74][7860/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8636 (1.6816)	Prec@1 51.500 (55.010)	Prec@5 82.000 (83.818)
Epoch: [74][7870/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.6654 (1.6815)	Prec@1 54.000 (55.010)	Prec@5 85.000 (83.818)
Epoch: [74][7880/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6141 (1.6815)	Prec@1 55.500 (55.012)	Prec@5 87.500 (83.820)
Epoch: [74][7890/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6227 (1.6815)	Prec@1 53.500 (55.014)	Prec@5 86.500 (83.820)
Epoch: [74][7900/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6886 (1.6815)	Prec@1 56.500 (55.014)	Prec@5 86.000 (83.820)
Epoch: [74][7910/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6650 (1.6815)	Prec@1 52.500 (55.014)	Prec@5 85.500 (83.819)
Epoch: [74][7920/9018]	Time 0.588 (0.623)	Data 0.001 (0.003)	Loss 1.7936 (1.6815)	Prec@1 52.500 (55.013)	Prec@5 81.500 (83.820)
Epoch: [74][7930/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.5870 (1.6814)	Prec@1 60.000 (55.015)	Prec@5 85.500 (83.820)
Epoch: [74][7940/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6543 (1.6815)	Prec@1 58.000 (55.013)	Prec@5 86.500 (83.819)
Epoch: [74][7950/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6065 (1.6815)	Prec@1 58.000 (55.016)	Prec@5 83.000 (83.818)
Epoch: [74][7960/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6222 (1.6815)	Prec@1 55.500 (55.016)	Prec@5 87.000 (83.818)
Epoch: [74][7970/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7454 (1.6816)	Prec@1 53.000 (55.015)	Prec@5 84.000 (83.816)
Epoch: [74][7980/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.5830 (1.6816)	Prec@1 56.000 (55.013)	Prec@5 86.500 (83.816)
Epoch: [74][7990/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.5805 (1.6816)	Prec@1 59.000 (55.013)	Prec@5 81.000 (83.816)
Epoch: [74][8000/9018]	Time 0.704 (0.623)	Data 0.001 (0.003)	Loss 1.7189 (1.6816)	Prec@1 56.500 (55.013)	Prec@5 82.500 (83.816)
Epoch: [74][8010/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6595 (1.6817)	Prec@1 57.000 (55.012)	Prec@5 81.000 (83.814)
Epoch: [74][8020/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.5539 (1.6816)	Prec@1 56.500 (55.014)	Prec@5 86.500 (83.816)
Epoch: [74][8030/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7846 (1.6816)	Prec@1 52.500 (55.013)	Prec@5 80.000 (83.814)
Epoch: [74][8040/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6576 (1.6817)	Prec@1 57.500 (55.012)	Prec@5 82.000 (83.813)
Epoch: [74][8050/9018]	Time 0.702 (0.623)	Data 0.001 (0.003)	Loss 1.8037 (1.6818)	Prec@1 54.000 (55.010)	Prec@5 82.000 (83.811)
Epoch: [74][8060/9018]	Time 0.645 (0.623)	Data 0.001 (0.003)	Loss 1.8401 (1.6818)	Prec@1 53.000 (55.011)	Prec@5 80.000 (83.812)
Epoch: [74][8070/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.8811 (1.6819)	Prec@1 48.500 (55.010)	Prec@5 83.000 (83.811)
Epoch: [74][8080/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6859 (1.6818)	Prec@1 55.500 (55.011)	Prec@5 81.500 (83.811)
Epoch: [74][8090/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7626 (1.6819)	Prec@1 52.500 (55.010)	Prec@5 83.500 (83.812)
Epoch: [74][8100/9018]	Time 0.664 (0.623)	Data 0.002 (0.003)	Loss 1.6595 (1.6819)	Prec@1 53.000 (55.008)	Prec@5 84.500 (83.812)
Epoch: [74][8110/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.5093 (1.6818)	Prec@1 59.500 (55.011)	Prec@5 85.500 (83.812)
Epoch: [74][8120/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.5140 (1.6818)	Prec@1 58.000 (55.010)	Prec@5 86.500 (83.813)
Epoch: [74][8130/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6259 (1.6818)	Prec@1 55.000 (55.009)	Prec@5 83.000 (83.814)
Epoch: [74][8140/9018]	Time 0.622 (0.623)	Data 0.008 (0.003)	Loss 1.8144 (1.6819)	Prec@1 54.000 (55.007)	Prec@5 81.500 (83.813)
Epoch: [74][8150/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.5077 (1.6819)	Prec@1 58.000 (55.009)	Prec@5 86.500 (83.812)
Epoch: [74][8160/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.4618 (1.6818)	Prec@1 60.000 (55.012)	Prec@5 86.000 (83.813)
Epoch: [74][8170/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7807 (1.6818)	Prec@1 53.500 (55.014)	Prec@5 81.000 (83.812)
Epoch: [74][8180/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6657 (1.6818)	Prec@1 56.000 (55.013)	Prec@5 83.000 (83.812)
Epoch: [74][8190/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6021 (1.6818)	Prec@1 55.500 (55.013)	Prec@5 86.000 (83.811)
Epoch: [74][8200/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6506 (1.6818)	Prec@1 59.000 (55.015)	Prec@5 85.000 (83.811)
Epoch: [74][8210/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.7770 (1.6818)	Prec@1 51.500 (55.015)	Prec@5 83.000 (83.812)
Epoch: [74][8220/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.6271 (1.6818)	Prec@1 58.500 (55.014)	Prec@5 83.500 (83.813)
Epoch: [74][8230/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.8009 (1.6818)	Prec@1 48.500 (55.014)	Prec@5 83.500 (83.813)
Epoch: [74][8240/9018]	Time 0.638 (0.623)	Data 0.012 (0.003)	Loss 1.7293 (1.6818)	Prec@1 57.000 (55.012)	Prec@5 84.500 (83.814)
Epoch: [74][8250/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.7448 (1.6819)	Prec@1 52.500 (55.010)	Prec@5 85.500 (83.813)
Epoch: [74][8260/9018]	Time 0.594 (0.623)	Data 0.004 (0.003)	Loss 1.8593 (1.6819)	Prec@1 52.000 (55.011)	Prec@5 80.000 (83.812)
Epoch: [74][8270/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6754 (1.6820)	Prec@1 53.000 (55.008)	Prec@5 84.000 (83.811)
Epoch: [74][8280/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.9247 (1.6820)	Prec@1 50.500 (55.007)	Prec@5 79.500 (83.810)
Epoch: [74][8290/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8340 (1.6821)	Prec@1 53.000 (55.006)	Prec@5 82.000 (83.809)
Epoch: [74][8300/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.6154 (1.6820)	Prec@1 56.000 (55.007)	Prec@5 84.000 (83.809)
Epoch: [74][8310/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.3743 (1.6820)	Prec@1 60.500 (55.009)	Prec@5 90.000 (83.810)
Epoch: [74][8320/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.5037 (1.6820)	Prec@1 57.000 (55.008)	Prec@5 88.000 (83.810)
Epoch: [74][8330/9018]	Time 0.741 (0.623)	Data 0.001 (0.003)	Loss 1.6080 (1.6820)	Prec@1 55.000 (55.009)	Prec@5 82.500 (83.809)
Epoch: [74][8340/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.5445 (1.6819)	Prec@1 57.500 (55.009)	Prec@5 85.000 (83.810)
Epoch: [74][8350/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.4974 (1.6820)	Prec@1 60.000 (55.007)	Prec@5 85.500 (83.810)
Epoch: [74][8360/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.5204 (1.6819)	Prec@1 56.000 (55.009)	Prec@5 85.000 (83.810)
Epoch: [74][8370/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.5514 (1.6819)	Prec@1 59.500 (55.010)	Prec@5 84.500 (83.810)
Epoch: [74][8380/9018]	Time 0.711 (0.623)	Data 0.001 (0.003)	Loss 1.5684 (1.6819)	Prec@1 53.500 (55.011)	Prec@5 84.500 (83.811)
Epoch: [74][8390/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7790 (1.6818)	Prec@1 52.000 (55.011)	Prec@5 79.500 (83.811)
Epoch: [74][8400/9018]	Time 0.592 (0.623)	Data 0.010 (0.003)	Loss 1.7854 (1.6818)	Prec@1 55.000 (55.012)	Prec@5 85.500 (83.812)
Epoch: [74][8410/9018]	Time 0.606 (0.623)	Data 0.007 (0.003)	Loss 1.6871 (1.6818)	Prec@1 50.000 (55.010)	Prec@5 85.000 (83.812)
Epoch: [74][8420/9018]	Time 0.618 (0.623)	Data 0.013 (0.003)	Loss 1.7858 (1.6819)	Prec@1 50.500 (55.010)	Prec@5 83.000 (83.811)
Epoch: [74][8430/9018]	Time 0.646 (0.623)	Data 0.001 (0.003)	Loss 1.6757 (1.6819)	Prec@1 56.000 (55.010)	Prec@5 82.500 (83.809)
Epoch: [74][8440/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.5909 (1.6819)	Prec@1 56.500 (55.011)	Prec@5 86.500 (83.810)
Epoch: [74][8450/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.5700 (1.6818)	Prec@1 60.000 (55.013)	Prec@5 86.000 (83.811)
Epoch: [74][8460/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6442 (1.6819)	Prec@1 60.000 (55.012)	Prec@5 83.500 (83.811)
Epoch: [74][8470/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7584 (1.6818)	Prec@1 50.500 (55.013)	Prec@5 84.000 (83.812)
Epoch: [74][8480/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.6163 (1.6818)	Prec@1 59.000 (55.012)	Prec@5 85.500 (83.812)
Epoch: [74][8490/9018]	Time 0.636 (0.623)	Data 0.002 (0.003)	Loss 1.7831 (1.6819)	Prec@1 47.000 (55.009)	Prec@5 81.500 (83.813)
Epoch: [74][8500/9018]	Time 0.655 (0.623)	Data 0.002 (0.003)	Loss 1.8534 (1.6819)	Prec@1 48.000 (55.007)	Prec@5 81.000 (83.813)
Epoch: [74][8510/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7074 (1.6818)	Prec@1 56.000 (55.009)	Prec@5 83.000 (83.814)
Epoch: [74][8520/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.7864 (1.6819)	Prec@1 52.500 (55.009)	Prec@5 78.500 (83.812)
Epoch: [74][8530/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.8440 (1.6819)	Prec@1 52.500 (55.008)	Prec@5 84.000 (83.811)
Epoch: [74][8540/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6514 (1.6819)	Prec@1 52.500 (55.007)	Prec@5 85.000 (83.810)
Epoch: [74][8550/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6705 (1.6820)	Prec@1 58.000 (55.006)	Prec@5 83.500 (83.810)
Epoch: [74][8560/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.3154 (1.6820)	Prec@1 65.000 (55.007)	Prec@5 89.500 (83.809)
Epoch: [74][8570/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.8259 (1.6820)	Prec@1 51.500 (55.004)	Prec@5 86.000 (83.809)
Epoch: [74][8580/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8789 (1.6820)	Prec@1 48.500 (55.004)	Prec@5 80.000 (83.809)
Epoch: [74][8590/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6825 (1.6821)	Prec@1 54.500 (55.003)	Prec@5 82.500 (83.809)
Epoch: [74][8600/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8732 (1.6821)	Prec@1 51.000 (55.000)	Prec@5 79.500 (83.808)
Epoch: [74][8610/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5701 (1.6821)	Prec@1 59.500 (55.001)	Prec@5 86.000 (83.808)
Epoch: [74][8620/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7654 (1.6821)	Prec@1 53.000 (55.001)	Prec@5 82.000 (83.808)
Epoch: [74][8630/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.8113 (1.6821)	Prec@1 53.000 (55.001)	Prec@5 83.000 (83.807)
Epoch: [74][8640/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.5931 (1.6821)	Prec@1 52.500 (54.999)	Prec@5 88.000 (83.808)
Epoch: [74][8650/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6581 (1.6822)	Prec@1 55.000 (54.999)	Prec@5 83.000 (83.807)
Epoch: [74][8660/9018]	Time 0.754 (0.623)	Data 0.001 (0.003)	Loss 1.9741 (1.6822)	Prec@1 52.000 (54.997)	Prec@5 82.000 (83.808)
Epoch: [74][8670/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.5909 (1.6822)	Prec@1 56.000 (54.995)	Prec@5 84.500 (83.807)
Epoch: [74][8680/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7207 (1.6823)	Prec@1 54.000 (54.994)	Prec@5 84.000 (83.806)
Epoch: [74][8690/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 2.0493 (1.6824)	Prec@1 44.000 (54.992)	Prec@5 76.000 (83.806)
Epoch: [74][8700/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.5818 (1.6824)	Prec@1 59.500 (54.994)	Prec@5 84.000 (83.805)
Epoch: [74][8710/9018]	Time 0.722 (0.623)	Data 0.001 (0.003)	Loss 1.7207 (1.6824)	Prec@1 54.500 (54.995)	Prec@5 84.000 (83.805)
Epoch: [74][8720/9018]	Time 0.648 (0.623)	Data 0.001 (0.003)	Loss 1.6253 (1.6824)	Prec@1 54.000 (54.995)	Prec@5 85.500 (83.805)
Epoch: [74][8730/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7143 (1.6823)	Prec@1 53.500 (54.997)	Prec@5 86.500 (83.806)
Epoch: [74][8740/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6950 (1.6824)	Prec@1 51.500 (54.995)	Prec@5 83.000 (83.807)
Epoch: [74][8750/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7601 (1.6824)	Prec@1 55.000 (54.994)	Prec@5 84.000 (83.806)
Epoch: [74][8760/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7340 (1.6824)	Prec@1 54.500 (54.992)	Prec@5 82.500 (83.807)
Epoch: [74][8770/9018]	Time 0.599 (0.623)	Data 0.007 (0.003)	Loss 1.6699 (1.6825)	Prec@1 56.500 (54.991)	Prec@5 87.000 (83.806)
Epoch: [74][8780/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.7492 (1.6825)	Prec@1 55.000 (54.992)	Prec@5 82.000 (83.807)
Epoch: [74][8790/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5934 (1.6825)	Prec@1 53.500 (54.991)	Prec@5 83.000 (83.807)
Epoch: [74][8800/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6881 (1.6825)	Prec@1 57.000 (54.989)	Prec@5 78.000 (83.806)
Epoch: [74][8810/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7039 (1.6825)	Prec@1 56.000 (54.990)	Prec@5 83.500 (83.806)
Epoch: [74][8820/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8578 (1.6826)	Prec@1 48.000 (54.987)	Prec@5 81.000 (83.805)
Epoch: [74][8830/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.5059 (1.6825)	Prec@1 61.000 (54.988)	Prec@5 86.500 (83.806)
Epoch: [74][8840/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7649 (1.6826)	Prec@1 53.500 (54.986)	Prec@5 83.500 (83.804)
Epoch: [74][8850/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.9061 (1.6827)	Prec@1 49.500 (54.985)	Prec@5 81.000 (83.802)
Epoch: [74][8860/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7422 (1.6827)	Prec@1 58.500 (54.985)	Prec@5 81.500 (83.802)
Epoch: [74][8870/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7222 (1.6827)	Prec@1 54.500 (54.983)	Prec@5 83.000 (83.802)
Epoch: [74][8880/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6791 (1.6828)	Prec@1 58.500 (54.981)	Prec@5 84.000 (83.801)
Epoch: [74][8890/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6118 (1.6828)	Prec@1 56.500 (54.983)	Prec@5 85.000 (83.801)
Epoch: [74][8900/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7227 (1.6828)	Prec@1 52.000 (54.981)	Prec@5 83.500 (83.800)
Epoch: [74][8910/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.5030 (1.6828)	Prec@1 59.000 (54.981)	Prec@5 85.500 (83.800)
Epoch: [74][8920/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8458 (1.6829)	Prec@1 54.000 (54.978)	Prec@5 81.500 (83.799)
Epoch: [74][8930/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.8736 (1.6829)	Prec@1 46.000 (54.976)	Prec@5 83.000 (83.799)
Epoch: [74][8940/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8501 (1.6830)	Prec@1 52.500 (54.974)	Prec@5 81.500 (83.799)
Epoch: [74][8950/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.6589 (1.6830)	Prec@1 57.000 (54.973)	Prec@5 84.500 (83.797)
Epoch: [74][8960/9018]	Time 0.595 (0.623)	Data 0.009 (0.003)	Loss 1.5776 (1.6831)	Prec@1 59.500 (54.972)	Prec@5 84.000 (83.796)
Epoch: [74][8970/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6922 (1.6831)	Prec@1 53.500 (54.972)	Prec@5 84.000 (83.796)
Epoch: [74][8980/9018]	Time 0.629 (0.623)	Data 0.043 (0.003)	Loss 1.6549 (1.6831)	Prec@1 60.500 (54.973)	Prec@5 84.500 (83.795)
Epoch: [74][8990/9018]	Time 0.778 (0.623)	Data 0.005 (0.003)	Loss 1.8228 (1.6832)	Prec@1 49.500 (54.970)	Prec@5 82.500 (83.795)
Epoch: [74][9000/9018]	Time 0.918 (0.623)	Data 0.359 (0.003)	Loss 1.6498 (1.6832)	Prec@1 56.000 (54.968)	Prec@5 83.500 (83.793)
Epoch: [74][9010/9018]	Time 0.590 (0.623)	Data 0.000 (0.003)	Loss 1.5861 (1.6832)	Prec@1 59.000 (54.967)	Prec@5 82.500 (83.793)
Test: [0/183]	Time 1.583 (1.583)	Loss 2.5499 (2.5499)	Prec@1 33.500 (33.500)	Prec@5 70.000 (70.000)
Test: [10/183]	Time 0.200 (0.337)	Loss 1.5653 (1.6391)	Prec@1 63.500 (56.182)	Prec@5 87.000 (85.864)
Test: [20/183]	Time 0.184 (0.271)	Loss 2.0120 (1.5916)	Prec@1 47.000 (57.190)	Prec@5 81.500 (86.190)
Test: [30/183]	Time 0.189 (0.253)	Loss 2.2156 (1.6093)	Prec@1 33.500 (56.000)	Prec@5 78.500 (86.290)
Test: [40/183]	Time 0.217 (0.243)	Loss 2.1740 (1.6107)	Prec@1 41.000 (56.671)	Prec@5 81.000 (85.622)
Test: [50/183]	Time 0.188 (0.237)	Loss 1.4128 (1.5824)	Prec@1 63.000 (57.471)	Prec@5 88.500 (86.000)
Test: [60/183]	Time 0.204 (0.232)	Loss 2.2234 (1.6533)	Prec@1 44.000 (55.311)	Prec@5 75.000 (85.156)
Test: [70/183]	Time 0.194 (0.227)	Loss 1.5778 (1.6388)	Prec@1 55.500 (55.500)	Prec@5 87.000 (85.585)
Test: [80/183]	Time 0.189 (0.226)	Loss 1.3440 (1.6245)	Prec@1 60.500 (55.735)	Prec@5 92.500 (85.765)
Test: [90/183]	Time 0.212 (0.225)	Loss 2.2081 (1.6215)	Prec@1 41.000 (55.835)	Prec@5 75.500 (85.802)
Test: [100/183]	Time 0.181 (0.223)	Loss 0.7567 (1.6223)	Prec@1 78.500 (55.733)	Prec@5 95.000 (85.822)
Test: [110/183]	Time 0.200 (0.221)	Loss 0.7671 (1.6262)	Prec@1 79.500 (55.635)	Prec@5 95.500 (85.694)
Test: [120/183]	Time 0.224 (0.220)	Loss 1.9383 (1.6292)	Prec@1 43.500 (55.455)	Prec@5 79.500 (85.694)
Test: [130/183]	Time 0.200 (0.219)	Loss 2.8763 (1.6379)	Prec@1 20.500 (55.156)	Prec@5 72.500 (85.744)
Test: [140/183]	Time 0.190 (0.219)	Loss 1.4011 (1.6275)	Prec@1 62.500 (55.465)	Prec@5 88.500 (85.862)
Test: [150/183]	Time 0.191 (0.218)	Loss 0.5875 (1.6265)	Prec@1 84.500 (55.589)	Prec@5 98.500 (85.854)
Test: [160/183]	Time 0.182 (0.217)	Loss 1.5876 (1.6201)	Prec@1 52.500 (55.873)	Prec@5 85.500 (85.916)
Test: [170/183]	Time 0.185 (0.217)	Loss 2.1266 (1.6365)	Prec@1 34.000 (55.409)	Prec@5 83.000 (85.699)
Test: [180/183]	Time 0.204 (0.216)	Loss 1.9073 (1.6434)	Prec@1 48.500 (55.323)	Prec@5 85.000 (85.561)
 * Prec@1 55.307 Prec@5 85.545
Epoch: [75][0/9018]	Time 3.002 (3.002)	Data 2.321 (2.321)	Loss 1.6762 (1.6762)	Prec@1 54.500 (54.500)	Prec@5 82.000 (82.000)
Epoch: [75][10/9018]	Time 0.609 (0.841)	Data 0.003 (0.213)	Loss 1.6329 (1.6968)	Prec@1 59.000 (55.000)	Prec@5 84.500 (82.636)
Epoch: [75][20/9018]	Time 0.629 (0.733)	Data 0.001 (0.112)	Loss 1.7022 (1.6697)	Prec@1 50.000 (55.619)	Prec@5 83.000 (83.286)
Epoch: [75][30/9018]	Time 0.608 (0.697)	Data 0.001 (0.077)	Loss 1.7920 (1.6813)	Prec@1 51.000 (55.484)	Prec@5 85.000 (83.581)
Epoch: [75][40/9018]	Time 0.595 (0.681)	Data 0.001 (0.059)	Loss 1.7092 (1.6797)	Prec@1 55.000 (55.585)	Prec@5 85.500 (83.732)
Epoch: [75][50/9018]	Time 0.599 (0.668)	Data 0.001 (0.048)	Loss 1.7259 (1.6822)	Prec@1 50.000 (55.500)	Prec@5 83.000 (83.686)
Epoch: [75][60/9018]	Time 0.595 (0.661)	Data 0.001 (0.040)	Loss 1.6334 (1.6788)	Prec@1 55.500 (55.410)	Prec@5 85.000 (83.770)
Epoch: [75][70/9018]	Time 0.813 (0.656)	Data 0.001 (0.035)	Loss 1.8205 (1.6757)	Prec@1 53.500 (55.549)	Prec@5 82.500 (83.958)
Epoch: [75][80/9018]	Time 0.616 (0.651)	Data 0.001 (0.031)	Loss 1.8109 (1.6736)	Prec@1 51.500 (55.475)	Prec@5 81.500 (84.043)
Epoch: [75][90/9018]	Time 0.608 (0.649)	Data 0.015 (0.028)	Loss 1.5032 (1.6721)	Prec@1 55.500 (55.412)	Prec@5 88.500 (84.082)
Epoch: [75][100/9018]	Time 0.601 (0.645)	Data 0.001 (0.025)	Loss 1.4514 (1.6663)	Prec@1 62.000 (55.614)	Prec@5 88.500 (84.188)
Epoch: [75][110/9018]	Time 0.641 (0.645)	Data 0.001 (0.023)	Loss 1.5873 (1.6676)	Prec@1 56.500 (55.491)	Prec@5 86.500 (84.189)
Epoch: [75][120/9018]	Time 0.771 (0.644)	Data 0.001 (0.022)	Loss 1.6449 (1.6673)	Prec@1 56.500 (55.554)	Prec@5 85.500 (84.186)
Epoch: [75][130/9018]	Time 0.599 (0.642)	Data 0.001 (0.020)	Loss 1.8813 (1.6714)	Prec@1 52.000 (55.416)	Prec@5 80.000 (84.103)
Epoch: [75][140/9018]	Time 0.616 (0.641)	Data 0.013 (0.019)	Loss 1.4980 (1.6694)	Prec@1 61.000 (55.500)	Prec@5 86.500 (84.099)
Epoch: [75][150/9018]	Time 0.600 (0.639)	Data 0.001 (0.018)	Loss 1.5253 (1.6668)	Prec@1 57.000 (55.599)	Prec@5 87.000 (84.152)
Epoch: [75][160/9018]	Time 0.596 (0.638)	Data 0.001 (0.017)	Loss 1.7419 (1.6674)	Prec@1 55.500 (55.630)	Prec@5 82.500 (84.112)
Epoch: [75][170/9018]	Time 0.629 (0.638)	Data 0.001 (0.016)	Loss 1.6914 (1.6678)	Prec@1 55.000 (55.652)	Prec@5 84.500 (84.061)
Epoch: [75][180/9018]	Time 0.598 (0.636)	Data 0.001 (0.015)	Loss 1.8408 (1.6679)	Prec@1 52.000 (55.674)	Prec@5 82.000 (84.088)
Epoch: [75][190/9018]	Time 0.592 (0.636)	Data 0.001 (0.015)	Loss 1.7201 (1.6700)	Prec@1 52.000 (55.623)	Prec@5 83.000 (84.060)
Epoch: [75][200/9018]	Time 0.618 (0.635)	Data 0.001 (0.014)	Loss 1.5283 (1.6662)	Prec@1 57.000 (55.684)	Prec@5 86.000 (84.139)
Epoch: [75][210/9018]	Time 0.627 (0.635)	Data 0.002 (0.013)	Loss 1.5962 (1.6624)	Prec@1 55.500 (55.751)	Prec@5 82.500 (84.197)
Epoch: [75][220/9018]	Time 0.609 (0.635)	Data 0.001 (0.013)	Loss 1.6930 (1.6653)	Prec@1 53.500 (55.658)	Prec@5 88.000 (84.183)
Epoch: [75][230/9018]	Time 0.623 (0.634)	Data 0.001 (0.013)	Loss 1.5886 (1.6681)	Prec@1 58.000 (55.558)	Prec@5 85.500 (84.143)
Epoch: [75][240/9018]	Time 0.621 (0.634)	Data 0.001 (0.012)	Loss 1.5656 (1.6660)	Prec@1 55.500 (55.641)	Prec@5 87.500 (84.110)
Epoch: [75][250/9018]	Time 0.591 (0.633)	Data 0.001 (0.012)	Loss 1.6378 (1.6641)	Prec@1 56.500 (55.691)	Prec@5 83.500 (84.118)
Epoch: [75][260/9018]	Time 0.619 (0.633)	Data 0.009 (0.012)	Loss 1.5441 (1.6626)	Prec@1 57.000 (55.724)	Prec@5 88.000 (84.134)
Epoch: [75][270/9018]	Time 0.608 (0.633)	Data 0.001 (0.011)	Loss 1.7088 (1.6628)	Prec@1 50.000 (55.688)	Prec@5 84.000 (84.157)
Epoch: [75][280/9018]	Time 0.605 (0.632)	Data 0.001 (0.011)	Loss 1.6038 (1.6616)	Prec@1 57.500 (55.708)	Prec@5 84.500 (84.194)
Epoch: [75][290/9018]	Time 0.600 (0.632)	Data 0.001 (0.011)	Loss 1.6012 (1.6622)	Prec@1 56.000 (55.725)	Prec@5 86.000 (84.155)
Epoch: [75][300/9018]	Time 0.591 (0.631)	Data 0.001 (0.010)	Loss 1.6083 (1.6671)	Prec@1 57.500 (55.610)	Prec@5 85.000 (84.078)
Epoch: [75][310/9018]	Time 0.592 (0.631)	Data 0.017 (0.010)	Loss 1.4182 (1.6676)	Prec@1 61.000 (55.559)	Prec@5 87.000 (84.043)
Epoch: [75][320/9018]	Time 0.618 (0.631)	Data 0.001 (0.010)	Loss 1.4601 (1.6674)	Prec@1 59.500 (55.533)	Prec@5 87.000 (84.047)
Epoch: [75][330/9018]	Time 0.597 (0.630)	Data 0.001 (0.010)	Loss 1.7231 (1.6682)	Prec@1 56.000 (55.497)	Prec@5 83.000 (84.033)
Epoch: [75][340/9018]	Time 0.620 (0.630)	Data 0.001 (0.009)	Loss 1.4687 (1.6692)	Prec@1 55.000 (55.449)	Prec@5 87.000 (84.032)
Epoch: [75][350/9018]	Time 0.611 (0.630)	Data 0.001 (0.009)	Loss 1.4654 (1.6677)	Prec@1 55.500 (55.454)	Prec@5 89.500 (84.057)
Epoch: [75][360/9018]	Time 0.620 (0.630)	Data 0.003 (0.009)	Loss 1.7641 (1.6669)	Prec@1 54.000 (55.468)	Prec@5 81.000 (84.048)
Epoch: [75][370/9018]	Time 0.622 (0.630)	Data 0.014 (0.009)	Loss 1.6872 (1.6676)	Prec@1 57.500 (55.481)	Prec@5 84.000 (84.032)
Epoch: [75][380/9018]	Time 0.652 (0.630)	Data 0.001 (0.009)	Loss 1.7917 (1.6677)	Prec@1 53.000 (55.534)	Prec@5 81.500 (84.010)
Epoch: [75][390/9018]	Time 0.605 (0.630)	Data 0.001 (0.009)	Loss 1.5676 (1.6665)	Prec@1 59.000 (55.565)	Prec@5 86.500 (84.031)
Epoch: [75][400/9018]	Time 0.771 (0.630)	Data 0.001 (0.008)	Loss 1.6421 (1.6678)	Prec@1 56.000 (55.510)	Prec@5 86.000 (84.022)
Epoch: [75][410/9018]	Time 0.611 (0.629)	Data 0.001 (0.008)	Loss 1.5112 (1.6686)	Prec@1 56.500 (55.496)	Prec@5 89.500 (84.032)
Epoch: [75][420/9018]	Time 0.656 (0.630)	Data 0.001 (0.008)	Loss 1.5622 (1.6683)	Prec@1 56.500 (55.492)	Prec@5 87.000 (84.025)
Epoch: [75][430/9018]	Time 0.596 (0.629)	Data 0.001 (0.008)	Loss 1.9459 (1.6701)	Prec@1 52.500 (55.459)	Prec@5 78.500 (83.990)
Epoch: [75][440/9018]	Time 0.628 (0.629)	Data 0.001 (0.008)	Loss 1.7529 (1.6700)	Prec@1 48.000 (55.426)	Prec@5 85.500 (84.010)
Epoch: [75][450/9018]	Time 0.727 (0.629)	Data 0.001 (0.008)	Loss 1.5854 (1.6693)	Prec@1 61.000 (55.446)	Prec@5 85.500 (84.025)
Epoch: [75][460/9018]	Time 0.621 (0.629)	Data 0.014 (0.008)	Loss 1.7275 (1.6691)	Prec@1 52.000 (55.461)	Prec@5 84.500 (84.023)
Epoch: [75][470/9018]	Time 0.604 (0.629)	Data 0.001 (0.008)	Loss 1.7309 (1.6673)	Prec@1 56.000 (55.478)	Prec@5 82.000 (84.053)
Epoch: [75][480/9018]	Time 0.601 (0.628)	Data 0.001 (0.008)	Loss 1.7719 (1.6674)	Prec@1 55.000 (55.488)	Prec@5 79.500 (84.036)
Epoch: [75][490/9018]	Time 0.592 (0.628)	Data 0.001 (0.008)	Loss 1.7937 (1.6675)	Prec@1 54.500 (55.508)	Prec@5 83.500 (84.026)
Epoch: [75][500/9018]	Time 0.614 (0.628)	Data 0.001 (0.007)	Loss 1.7593 (1.6664)	Prec@1 55.500 (55.536)	Prec@5 82.500 (84.047)
Epoch: [75][510/9018]	Time 0.610 (0.628)	Data 0.001 (0.007)	Loss 1.5410 (1.6657)	Prec@1 58.500 (55.542)	Prec@5 89.000 (84.067)
Epoch: [75][520/9018]	Time 0.632 (0.628)	Data 0.001 (0.007)	Loss 1.4375 (1.6639)	Prec@1 59.500 (55.586)	Prec@5 90.500 (84.092)
Epoch: [75][530/9018]	Time 0.624 (0.627)	Data 0.001 (0.007)	Loss 1.9057 (1.6635)	Prec@1 52.500 (55.575)	Prec@5 78.000 (84.091)
Epoch: [75][540/9018]	Time 0.616 (0.627)	Data 0.001 (0.007)	Loss 1.6982 (1.6638)	Prec@1 57.000 (55.584)	Prec@5 85.000 (84.092)
Epoch: [75][550/9018]	Time 0.621 (0.628)	Data 0.001 (0.007)	Loss 1.6530 (1.6630)	Prec@1 59.000 (55.596)	Prec@5 84.000 (84.112)
Epoch: [75][560/9018]	Time 0.622 (0.627)	Data 0.014 (0.007)	Loss 1.6098 (1.6627)	Prec@1 57.000 (55.615)	Prec@5 83.000 (84.115)
Epoch: [75][570/9018]	Time 0.599 (0.627)	Data 0.001 (0.007)	Loss 1.4538 (1.6625)	Prec@1 60.500 (55.637)	Prec@5 89.000 (84.112)
Epoch: [75][580/9018]	Time 0.592 (0.627)	Data 0.001 (0.007)	Loss 1.7703 (1.6630)	Prec@1 56.000 (55.621)	Prec@5 82.500 (84.109)
Epoch: [75][590/9018]	Time 0.629 (0.627)	Data 0.001 (0.007)	Loss 1.6131 (1.6624)	Prec@1 54.000 (55.625)	Prec@5 84.500 (84.128)
Epoch: [75][600/9018]	Time 0.623 (0.627)	Data 0.001 (0.007)	Loss 1.7125 (1.6618)	Prec@1 51.500 (55.655)	Prec@5 86.000 (84.148)
Epoch: [75][610/9018]	Time 0.622 (0.627)	Data 0.001 (0.007)	Loss 1.5818 (1.6626)	Prec@1 55.500 (55.633)	Prec@5 86.500 (84.122)
Epoch: [75][620/9018]	Time 0.611 (0.627)	Data 0.001 (0.006)	Loss 1.7463 (1.6625)	Prec@1 52.500 (55.630)	Prec@5 81.500 (84.134)
Epoch: [75][630/9018]	Time 0.606 (0.627)	Data 0.001 (0.006)	Loss 1.6985 (1.6617)	Prec@1 51.500 (55.633)	Prec@5 83.000 (84.150)
Epoch: [75][640/9018]	Time 0.621 (0.627)	Data 0.001 (0.006)	Loss 1.6467 (1.6616)	Prec@1 56.000 (55.626)	Prec@5 88.500 (84.168)
Epoch: [75][650/9018]	Time 0.606 (0.627)	Data 0.001 (0.006)	Loss 1.7414 (1.6613)	Prec@1 50.500 (55.635)	Prec@5 84.000 (84.172)
Epoch: [75][660/9018]	Time 0.657 (0.626)	Data 0.001 (0.006)	Loss 1.6881 (1.6610)	Prec@1 57.000 (55.648)	Prec@5 80.000 (84.170)
Epoch: [75][670/9018]	Time 0.621 (0.626)	Data 0.001 (0.006)	Loss 1.6292 (1.6615)	Prec@1 56.000 (55.628)	Prec@5 83.500 (84.171)
Epoch: [75][680/9018]	Time 0.600 (0.626)	Data 0.010 (0.006)	Loss 1.6638 (1.6610)	Prec@1 53.500 (55.617)	Prec@5 83.000 (84.172)
Epoch: [75][690/9018]	Time 0.591 (0.626)	Data 0.001 (0.006)	Loss 1.6287 (1.6607)	Prec@1 55.500 (55.625)	Prec@5 84.000 (84.173)
Epoch: [75][700/9018]	Time 0.632 (0.626)	Data 0.001 (0.006)	Loss 1.5128 (1.6606)	Prec@1 60.000 (55.620)	Prec@5 84.000 (84.168)
Epoch: [75][710/9018]	Time 0.632 (0.626)	Data 0.012 (0.006)	Loss 1.5962 (1.6592)	Prec@1 52.000 (55.634)	Prec@5 85.000 (84.184)
Epoch: [75][720/9018]	Time 0.599 (0.626)	Data 0.001 (0.006)	Loss 1.7800 (1.6586)	Prec@1 50.000 (55.664)	Prec@5 81.000 (84.203)
Epoch: [75][730/9018]	Time 0.729 (0.626)	Data 0.001 (0.006)	Loss 1.5706 (1.6577)	Prec@1 59.000 (55.682)	Prec@5 84.000 (84.215)
Epoch: [75][740/9018]	Time 0.596 (0.626)	Data 0.001 (0.006)	Loss 1.7462 (1.6574)	Prec@1 54.000 (55.674)	Prec@5 82.500 (84.223)
Epoch: [75][750/9018]	Time 0.610 (0.626)	Data 0.001 (0.006)	Loss 1.5029 (1.6572)	Prec@1 60.500 (55.678)	Prec@5 86.500 (84.220)
Epoch: [75][760/9018]	Time 0.602 (0.626)	Data 0.001 (0.006)	Loss 1.6313 (1.6574)	Prec@1 53.500 (55.656)	Prec@5 83.500 (84.218)
Epoch: [75][770/9018]	Time 0.640 (0.626)	Data 0.001 (0.006)	Loss 1.4895 (1.6576)	Prec@1 61.500 (55.660)	Prec@5 85.500 (84.217)
Epoch: [75][780/9018]	Time 0.727 (0.626)	Data 0.001 (0.006)	Loss 1.7223 (1.6580)	Prec@1 54.000 (55.652)	Prec@5 80.500 (84.205)
Epoch: [75][790/9018]	Time 0.631 (0.626)	Data 0.013 (0.006)	Loss 1.6601 (1.6579)	Prec@1 54.500 (55.649)	Prec@5 84.500 (84.205)
Epoch: [75][800/9018]	Time 0.629 (0.626)	Data 0.001 (0.006)	Loss 1.7011 (1.6590)	Prec@1 58.000 (55.619)	Prec@5 83.000 (84.189)
Epoch: [75][810/9018]	Time 0.617 (0.626)	Data 0.001 (0.006)	Loss 1.6668 (1.6585)	Prec@1 58.000 (55.628)	Prec@5 83.500 (84.196)
Epoch: [75][820/9018]	Time 0.641 (0.626)	Data 0.001 (0.006)	Loss 1.8891 (1.6590)	Prec@1 53.500 (55.619)	Prec@5 82.000 (84.186)
Epoch: [75][830/9018]	Time 0.630 (0.626)	Data 0.001 (0.005)	Loss 1.3854 (1.6584)	Prec@1 60.000 (55.631)	Prec@5 87.000 (84.191)
Epoch: [75][840/9018]	Time 0.632 (0.626)	Data 0.001 (0.005)	Loss 1.6853 (1.6587)	Prec@1 58.000 (55.628)	Prec@5 83.500 (84.183)
Epoch: [75][850/9018]	Time 0.623 (0.626)	Data 0.001 (0.005)	Loss 1.8867 (1.6580)	Prec@1 52.500 (55.644)	Prec@5 81.000 (84.196)
Epoch: [75][860/9018]	Time 0.617 (0.625)	Data 0.001 (0.005)	Loss 1.7407 (1.6585)	Prec@1 50.000 (55.626)	Prec@5 84.500 (84.203)
Epoch: [75][870/9018]	Time 0.611 (0.626)	Data 0.001 (0.005)	Loss 1.7582 (1.6586)	Prec@1 59.500 (55.635)	Prec@5 82.000 (84.203)
Epoch: [75][880/9018]	Time 0.632 (0.626)	Data 0.001 (0.005)	Loss 1.5883 (1.6591)	Prec@1 57.000 (55.617)	Prec@5 81.500 (84.194)
Epoch: [75][890/9018]	Time 0.597 (0.626)	Data 0.001 (0.005)	Loss 1.7776 (1.6590)	Prec@1 54.500 (55.603)	Prec@5 82.500 (84.190)
Epoch: [75][900/9018]	Time 0.603 (0.626)	Data 0.001 (0.005)	Loss 1.8256 (1.6590)	Prec@1 54.500 (55.610)	Prec@5 83.500 (84.193)
Epoch: [75][910/9018]	Time 0.623 (0.625)	Data 0.017 (0.005)	Loss 1.6894 (1.6588)	Prec@1 55.500 (55.621)	Prec@5 81.500 (84.189)
Epoch: [75][920/9018]	Time 0.604 (0.625)	Data 0.001 (0.005)	Loss 1.6437 (1.6593)	Prec@1 56.000 (55.607)	Prec@5 80.500 (84.180)
Epoch: [75][930/9018]	Time 0.608 (0.625)	Data 0.001 (0.005)	Loss 1.6656 (1.6590)	Prec@1 53.000 (55.614)	Prec@5 83.500 (84.187)
Epoch: [75][940/9018]	Time 0.605 (0.625)	Data 0.001 (0.005)	Loss 1.5276 (1.6589)	Prec@1 57.500 (55.612)	Prec@5 88.500 (84.193)
Epoch: [75][950/9018]	Time 0.612 (0.625)	Data 0.001 (0.005)	Loss 1.6570 (1.6593)	Prec@1 57.000 (55.608)	Prec@5 84.500 (84.183)
Epoch: [75][960/9018]	Time 0.639 (0.625)	Data 0.001 (0.005)	Loss 1.4626 (1.6591)	Prec@1 61.000 (55.612)	Prec@5 87.000 (84.186)
Epoch: [75][970/9018]	Time 0.627 (0.625)	Data 0.001 (0.005)	Loss 1.8129 (1.6596)	Prec@1 53.000 (55.613)	Prec@5 84.000 (84.179)
Epoch: [75][980/9018]	Time 0.619 (0.625)	Data 0.005 (0.005)	Loss 1.6135 (1.6604)	Prec@1 55.000 (55.589)	Prec@5 83.500 (84.169)
Epoch: [75][990/9018]	Time 0.599 (0.625)	Data 0.001 (0.005)	Loss 1.4865 (1.6601)	Prec@1 57.500 (55.599)	Prec@5 87.000 (84.167)
Epoch: [75][1000/9018]	Time 0.594 (0.625)	Data 0.001 (0.005)	Loss 1.6766 (1.6600)	Prec@1 58.500 (55.594)	Prec@5 82.500 (84.162)
Epoch: [75][1010/9018]	Time 0.601 (0.625)	Data 0.014 (0.005)	Loss 1.6858 (1.6603)	Prec@1 56.000 (55.593)	Prec@5 81.500 (84.163)
Epoch: [75][1020/9018]	Time 0.623 (0.625)	Data 0.001 (0.005)	Loss 1.6749 (1.6604)	Prec@1 55.500 (55.574)	Prec@5 83.000 (84.163)
Epoch: [75][1030/9018]	Time 0.619 (0.625)	Data 0.001 (0.005)	Loss 1.7321 (1.6607)	Prec@1 54.500 (55.560)	Prec@5 81.500 (84.154)
Epoch: [75][1040/9018]	Time 0.624 (0.625)	Data 0.001 (0.005)	Loss 1.5547 (1.6609)	Prec@1 61.500 (55.552)	Prec@5 87.000 (84.155)
Epoch: [75][1050/9018]	Time 0.639 (0.625)	Data 0.001 (0.005)	Loss 1.5538 (1.6606)	Prec@1 60.000 (55.564)	Prec@5 85.000 (84.159)
Epoch: [75][1060/9018]	Time 0.723 (0.625)	Data 0.013 (0.005)	Loss 1.5555 (1.6603)	Prec@1 59.000 (55.588)	Prec@5 87.500 (84.158)
Epoch: [75][1070/9018]	Time 0.638 (0.625)	Data 0.001 (0.005)	Loss 1.6912 (1.6601)	Prec@1 55.500 (55.599)	Prec@5 85.000 (84.168)
Epoch: [75][1080/9018]	Time 0.595 (0.625)	Data 0.001 (0.005)	Loss 1.6115 (1.6600)	Prec@1 60.500 (55.612)	Prec@5 83.500 (84.173)
Epoch: [75][1090/9018]	Time 0.601 (0.625)	Data 0.001 (0.005)	Loss 1.7304 (1.6605)	Prec@1 52.000 (55.594)	Prec@5 81.500 (84.164)
Epoch: [75][1100/9018]	Time 0.643 (0.625)	Data 0.001 (0.005)	Loss 1.6487 (1.6605)	Prec@1 54.500 (55.582)	Prec@5 82.500 (84.175)
Epoch: [75][1110/9018]	Time 0.745 (0.625)	Data 0.004 (0.005)	Loss 1.4867 (1.6603)	Prec@1 61.000 (55.594)	Prec@5 88.500 (84.169)
Epoch: [75][1120/9018]	Time 0.648 (0.625)	Data 0.008 (0.005)	Loss 1.6179 (1.6608)	Prec@1 58.000 (55.579)	Prec@5 84.500 (84.170)
Epoch: [75][1130/9018]	Time 0.603 (0.625)	Data 0.008 (0.005)	Loss 1.5870 (1.6606)	Prec@1 57.000 (55.583)	Prec@5 86.500 (84.169)
Epoch: [75][1140/9018]	Time 0.595 (0.625)	Data 0.001 (0.005)	Loss 1.5496 (1.6605)	Prec@1 57.000 (55.578)	Prec@5 86.500 (84.167)
Epoch: [75][1150/9018]	Time 0.627 (0.625)	Data 0.001 (0.005)	Loss 1.7328 (1.6606)	Prec@1 51.500 (55.570)	Prec@5 84.500 (84.165)
Epoch: [75][1160/9018]	Time 0.639 (0.625)	Data 0.001 (0.005)	Loss 1.6852 (1.6611)	Prec@1 57.500 (55.566)	Prec@5 82.000 (84.161)
Epoch: [75][1170/9018]	Time 0.615 (0.625)	Data 0.013 (0.005)	Loss 1.7451 (1.6620)	Prec@1 55.500 (55.555)	Prec@5 83.000 (84.149)
Epoch: [75][1180/9018]	Time 0.625 (0.625)	Data 0.001 (0.005)	Loss 1.6077 (1.6618)	Prec@1 57.000 (55.563)	Prec@5 85.500 (84.141)
Epoch: [75][1190/9018]	Time 0.633 (0.625)	Data 0.001 (0.005)	Loss 1.6107 (1.6618)	Prec@1 59.000 (55.556)	Prec@5 82.000 (84.140)
Epoch: [75][1200/9018]	Time 0.606 (0.625)	Data 0.001 (0.005)	Loss 1.6985 (1.6616)	Prec@1 53.000 (55.551)	Prec@5 86.000 (84.148)
Epoch: [75][1210/9018]	Time 0.603 (0.625)	Data 0.001 (0.005)	Loss 1.7442 (1.6615)	Prec@1 49.500 (55.543)	Prec@5 83.500 (84.149)
Epoch: [75][1220/9018]	Time 0.643 (0.625)	Data 0.001 (0.005)	Loss 1.6566 (1.6614)	Prec@1 54.500 (55.554)	Prec@5 85.000 (84.157)
Epoch: [75][1230/9018]	Time 0.613 (0.625)	Data 0.001 (0.005)	Loss 1.8302 (1.6616)	Prec@1 52.500 (55.563)	Prec@5 81.000 (84.151)
Epoch: [75][1240/9018]	Time 0.607 (0.625)	Data 0.001 (0.005)	Loss 1.6632 (1.6620)	Prec@1 53.000 (55.549)	Prec@5 81.500 (84.143)
Epoch: [75][1250/9018]	Time 0.617 (0.625)	Data 0.001 (0.005)	Loss 1.6343 (1.6618)	Prec@1 56.500 (55.554)	Prec@5 82.500 (84.143)
Epoch: [75][1260/9018]	Time 0.620 (0.625)	Data 0.001 (0.005)	Loss 1.5907 (1.6613)	Prec@1 53.000 (55.561)	Prec@5 86.000 (84.152)
Epoch: [75][1270/9018]	Time 0.608 (0.625)	Data 0.004 (0.005)	Loss 1.6854 (1.6616)	Prec@1 53.500 (55.551)	Prec@5 85.000 (84.146)
Epoch: [75][1280/9018]	Time 0.661 (0.625)	Data 0.001 (0.005)	Loss 1.7537 (1.6620)	Prec@1 51.000 (55.535)	Prec@5 81.000 (84.135)
Epoch: [75][1290/9018]	Time 0.630 (0.625)	Data 0.011 (0.005)	Loss 1.7878 (1.6619)	Prec@1 53.500 (55.538)	Prec@5 84.000 (84.138)
Epoch: [75][1300/9018]	Time 0.655 (0.625)	Data 0.001 (0.005)	Loss 1.8411 (1.6625)	Prec@1 55.000 (55.534)	Prec@5 80.000 (84.125)
Epoch: [75][1310/9018]	Time 0.592 (0.625)	Data 0.001 (0.005)	Loss 1.6726 (1.6627)	Prec@1 55.500 (55.526)	Prec@5 87.000 (84.119)
Epoch: [75][1320/9018]	Time 0.613 (0.625)	Data 0.017 (0.005)	Loss 1.6926 (1.6630)	Prec@1 55.500 (55.525)	Prec@5 82.500 (84.108)
Epoch: [75][1330/9018]	Time 0.640 (0.625)	Data 0.015 (0.005)	Loss 1.3606 (1.6627)	Prec@1 59.000 (55.529)	Prec@5 89.000 (84.115)
Epoch: [75][1340/9018]	Time 0.590 (0.625)	Data 0.001 (0.005)	Loss 1.3700 (1.6620)	Prec@1 59.000 (55.543)	Prec@5 89.500 (84.126)
Epoch: [75][1350/9018]	Time 0.607 (0.625)	Data 0.001 (0.005)	Loss 1.7695 (1.6624)	Prec@1 53.000 (55.523)	Prec@5 81.500 (84.126)
Epoch: [75][1360/9018]	Time 0.613 (0.625)	Data 0.009 (0.005)	Loss 1.6578 (1.6624)	Prec@1 53.500 (55.526)	Prec@5 86.500 (84.131)
Epoch: [75][1370/9018]	Time 0.637 (0.625)	Data 0.001 (0.005)	Loss 1.7418 (1.6620)	Prec@1 57.000 (55.539)	Prec@5 81.000 (84.131)
Epoch: [75][1380/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.8955 (1.6629)	Prec@1 51.000 (55.523)	Prec@5 80.500 (84.115)
Epoch: [75][1390/9018]	Time 0.801 (0.625)	Data 0.001 (0.004)	Loss 1.7807 (1.6624)	Prec@1 51.000 (55.531)	Prec@5 85.000 (84.127)
Epoch: [75][1400/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.6303 (1.6621)	Prec@1 58.000 (55.523)	Prec@5 86.500 (84.136)
Epoch: [75][1410/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.7058 (1.6624)	Prec@1 54.500 (55.509)	Prec@5 82.500 (84.128)
Epoch: [75][1420/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.7998 (1.6623)	Prec@1 56.500 (55.519)	Prec@5 77.000 (84.129)
Epoch: [75][1430/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.8153 (1.6625)	Prec@1 52.000 (55.512)	Prec@5 86.500 (84.124)
Epoch: [75][1440/9018]	Time 0.616 (0.625)	Data 0.008 (0.004)	Loss 1.6329 (1.6621)	Prec@1 54.000 (55.516)	Prec@5 81.500 (84.127)
Epoch: [75][1450/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.7279 (1.6619)	Prec@1 52.500 (55.524)	Prec@5 87.500 (84.132)
Epoch: [75][1460/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.6488 (1.6622)	Prec@1 58.000 (55.520)	Prec@5 83.000 (84.131)
Epoch: [75][1470/9018]	Time 0.613 (0.625)	Data 0.015 (0.004)	Loss 1.6369 (1.6625)	Prec@1 53.500 (55.513)	Prec@5 84.500 (84.120)
Epoch: [75][1480/9018]	Time 0.594 (0.625)	Data 0.017 (0.004)	Loss 1.4544 (1.6625)	Prec@1 63.000 (55.517)	Prec@5 87.000 (84.115)
Epoch: [75][1490/9018]	Time 0.643 (0.625)	Data 0.001 (0.004)	Loss 1.8105 (1.6628)	Prec@1 55.000 (55.515)	Prec@5 82.000 (84.103)
Epoch: [75][1500/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.6149 (1.6625)	Prec@1 57.000 (55.523)	Prec@5 84.000 (84.105)
Epoch: [75][1510/9018]	Time 0.627 (0.625)	Data 0.001 (0.004)	Loss 1.6070 (1.6624)	Prec@1 50.500 (55.519)	Prec@5 87.500 (84.113)
Epoch: [75][1520/9018]	Time 0.619 (0.625)	Data 0.016 (0.004)	Loss 1.6297 (1.6625)	Prec@1 57.500 (55.511)	Prec@5 83.000 (84.104)
Epoch: [75][1530/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.6099 (1.6627)	Prec@1 53.000 (55.492)	Prec@5 85.500 (84.102)
Epoch: [75][1540/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.8020 (1.6629)	Prec@1 51.000 (55.491)	Prec@5 82.000 (84.100)
Epoch: [75][1550/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7572 (1.6626)	Prec@1 52.000 (55.493)	Prec@5 79.500 (84.108)
Epoch: [75][1560/9018]	Time 0.633 (0.625)	Data 0.001 (0.004)	Loss 1.8726 (1.6624)	Prec@1 51.000 (55.498)	Prec@5 79.500 (84.110)
Epoch: [75][1570/9018]	Time 0.620 (0.625)	Data 0.001 (0.004)	Loss 1.5597 (1.6620)	Prec@1 56.000 (55.505)	Prec@5 85.500 (84.115)
Epoch: [75][1580/9018]	Time 0.601 (0.625)	Data 0.011 (0.004)	Loss 1.6166 (1.6620)	Prec@1 58.000 (55.502)	Prec@5 85.500 (84.116)
Epoch: [75][1590/9018]	Time 0.634 (0.625)	Data 0.015 (0.004)	Loss 1.7281 (1.6623)	Prec@1 51.500 (55.492)	Prec@5 81.500 (84.106)
Epoch: [75][1600/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.5094 (1.6625)	Prec@1 61.500 (55.490)	Prec@5 86.500 (84.105)
Epoch: [75][1610/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.6240 (1.6626)	Prec@1 58.000 (55.484)	Prec@5 86.000 (84.109)
Epoch: [75][1620/9018]	Time 0.616 (0.625)	Data 0.003 (0.004)	Loss 1.4444 (1.6627)	Prec@1 58.000 (55.475)	Prec@5 89.500 (84.105)
Epoch: [75][1630/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.7610 (1.6629)	Prec@1 58.000 (55.476)	Prec@5 83.000 (84.111)
Epoch: [75][1640/9018]	Time 0.605 (0.625)	Data 0.001 (0.004)	Loss 1.5097 (1.6633)	Prec@1 59.500 (55.460)	Prec@5 88.500 (84.101)
Epoch: [75][1650/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.6538 (1.6634)	Prec@1 60.000 (55.452)	Prec@5 86.000 (84.104)
Epoch: [75][1660/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.7514 (1.6635)	Prec@1 56.500 (55.451)	Prec@5 83.500 (84.108)
Epoch: [75][1670/9018]	Time 0.818 (0.625)	Data 0.001 (0.004)	Loss 1.7783 (1.6632)	Prec@1 53.000 (55.454)	Prec@5 80.500 (84.113)
Epoch: [75][1680/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.5446 (1.6629)	Prec@1 58.500 (55.458)	Prec@5 87.500 (84.116)
Epoch: [75][1690/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.6596 (1.6633)	Prec@1 57.000 (55.453)	Prec@5 82.500 (84.108)
Epoch: [75][1700/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.6025 (1.6632)	Prec@1 60.500 (55.462)	Prec@5 84.000 (84.109)
Epoch: [75][1710/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.6921 (1.6633)	Prec@1 55.500 (55.465)	Prec@5 84.000 (84.112)
Epoch: [75][1720/9018]	Time 0.758 (0.625)	Data 0.001 (0.004)	Loss 1.5299 (1.6637)	Prec@1 59.000 (55.460)	Prec@5 85.500 (84.103)
Epoch: [75][1730/9018]	Time 0.649 (0.625)	Data 0.001 (0.004)	Loss 1.5942 (1.6635)	Prec@1 57.500 (55.460)	Prec@5 87.500 (84.108)
Epoch: [75][1740/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.7307 (1.6636)	Prec@1 57.500 (55.457)	Prec@5 82.000 (84.109)
Epoch: [75][1750/9018]	Time 0.610 (0.624)	Data 0.001 (0.004)	Loss 1.8315 (1.6636)	Prec@1 52.000 (55.457)	Prec@5 84.500 (84.111)
Epoch: [75][1760/9018]	Time 0.626 (0.624)	Data 0.016 (0.004)	Loss 1.5373 (1.6637)	Prec@1 57.500 (55.458)	Prec@5 84.500 (84.104)
Epoch: [75][1770/9018]	Time 0.595 (0.624)	Data 0.001 (0.004)	Loss 1.4534 (1.6634)	Prec@1 61.500 (55.465)	Prec@5 86.500 (84.112)
Epoch: [75][1780/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.6520 (1.6635)	Prec@1 57.000 (55.458)	Prec@5 83.500 (84.107)
Epoch: [75][1790/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.7859 (1.6634)	Prec@1 53.000 (55.465)	Prec@5 84.000 (84.110)
Epoch: [75][1800/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.7847 (1.6632)	Prec@1 54.000 (55.474)	Prec@5 82.000 (84.115)
Epoch: [75][1810/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.5080 (1.6637)	Prec@1 61.500 (55.465)	Prec@5 88.500 (84.106)
Epoch: [75][1820/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.5841 (1.6636)	Prec@1 52.500 (55.462)	Prec@5 87.500 (84.110)
Epoch: [75][1830/9018]	Time 0.604 (0.624)	Data 0.001 (0.004)	Loss 1.7164 (1.6638)	Prec@1 55.500 (55.451)	Prec@5 82.000 (84.105)
Epoch: [75][1840/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.6099 (1.6639)	Prec@1 62.500 (55.457)	Prec@5 84.500 (84.103)
Epoch: [75][1850/9018]	Time 0.627 (0.624)	Data 0.017 (0.004)	Loss 1.7102 (1.6641)	Prec@1 52.500 (55.461)	Prec@5 85.500 (84.105)
Epoch: [75][1860/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.6396 (1.6644)	Prec@1 56.500 (55.454)	Prec@5 84.500 (84.098)
Epoch: [75][1870/9018]	Time 0.638 (0.624)	Data 0.001 (0.004)	Loss 1.5751 (1.6644)	Prec@1 56.500 (55.445)	Prec@5 84.500 (84.092)
Epoch: [75][1880/9018]	Time 0.623 (0.624)	Data 0.001 (0.004)	Loss 1.7145 (1.6644)	Prec@1 55.000 (55.444)	Prec@5 82.500 (84.093)
Epoch: [75][1890/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.7318 (1.6643)	Prec@1 53.500 (55.444)	Prec@5 81.500 (84.093)
Epoch: [75][1900/9018]	Time 0.636 (0.624)	Data 0.001 (0.004)	Loss 1.8906 (1.6644)	Prec@1 49.000 (55.442)	Prec@5 81.000 (84.087)
Epoch: [75][1910/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.6970 (1.6644)	Prec@1 53.500 (55.443)	Prec@5 86.000 (84.088)
Epoch: [75][1920/9018]	Time 0.635 (0.624)	Data 0.001 (0.004)	Loss 1.6995 (1.6647)	Prec@1 57.000 (55.438)	Prec@5 81.500 (84.085)
Epoch: [75][1930/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.7253 (1.6647)	Prec@1 55.500 (55.441)	Prec@5 84.000 (84.086)
Epoch: [75][1940/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.5985 (1.6648)	Prec@1 53.000 (55.433)	Prec@5 85.000 (84.091)
Epoch: [75][1950/9018]	Time 0.631 (0.624)	Data 0.001 (0.004)	Loss 1.6230 (1.6649)	Prec@1 57.000 (55.430)	Prec@5 87.000 (84.091)
Epoch: [75][1960/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.6746 (1.6649)	Prec@1 54.500 (55.425)	Prec@5 84.500 (84.087)
Epoch: [75][1970/9018]	Time 0.590 (0.624)	Data 0.001 (0.004)	Loss 1.5433 (1.6649)	Prec@1 57.000 (55.422)	Prec@5 85.500 (84.089)
Epoch: [75][1980/9018]	Time 0.634 (0.624)	Data 0.001 (0.004)	Loss 1.4957 (1.6647)	Prec@1 60.500 (55.423)	Prec@5 87.000 (84.088)
Epoch: [75][1990/9018]	Time 0.606 (0.624)	Data 0.012 (0.004)	Loss 1.7440 (1.6650)	Prec@1 50.500 (55.411)	Prec@5 83.000 (84.081)
Epoch: [75][2000/9018]	Time 0.766 (0.624)	Data 0.001 (0.004)	Loss 1.6987 (1.6652)	Prec@1 57.000 (55.409)	Prec@5 82.000 (84.073)
Epoch: [75][2010/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.5250 (1.6654)	Prec@1 55.500 (55.401)	Prec@5 86.500 (84.076)
Epoch: [75][2020/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.5798 (1.6654)	Prec@1 58.000 (55.400)	Prec@5 88.000 (84.076)
Epoch: [75][2030/9018]	Time 0.633 (0.624)	Data 0.001 (0.004)	Loss 1.7223 (1.6655)	Prec@1 53.500 (55.404)	Prec@5 83.000 (84.073)
Epoch: [75][2040/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.8106 (1.6658)	Prec@1 50.000 (55.404)	Prec@5 80.000 (84.068)
Epoch: [75][2050/9018]	Time 0.780 (0.624)	Data 0.001 (0.004)	Loss 1.6526 (1.6657)	Prec@1 56.500 (55.408)	Prec@5 84.500 (84.070)
Epoch: [75][2060/9018]	Time 0.620 (0.624)	Data 0.001 (0.004)	Loss 1.6824 (1.6657)	Prec@1 55.500 (55.411)	Prec@5 83.000 (84.070)
Epoch: [75][2070/9018]	Time 0.620 (0.624)	Data 0.014 (0.004)	Loss 1.6042 (1.6656)	Prec@1 60.500 (55.408)	Prec@5 84.500 (84.072)
Epoch: [75][2080/9018]	Time 0.625 (0.624)	Data 0.025 (0.004)	Loss 1.8555 (1.6655)	Prec@1 50.000 (55.407)	Prec@5 81.500 (84.074)
Epoch: [75][2090/9018]	Time 0.602 (0.624)	Data 0.001 (0.004)	Loss 1.6114 (1.6654)	Prec@1 55.500 (55.407)	Prec@5 86.000 (84.077)
Epoch: [75][2100/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.5385 (1.6653)	Prec@1 53.000 (55.401)	Prec@5 89.000 (84.084)
Epoch: [75][2110/9018]	Time 0.628 (0.624)	Data 0.002 (0.004)	Loss 1.4468 (1.6651)	Prec@1 61.000 (55.405)	Prec@5 88.000 (84.087)
Epoch: [75][2120/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 2.2187 (1.6654)	Prec@1 48.000 (55.398)	Prec@5 75.500 (84.080)
Epoch: [75][2130/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.6848 (1.6654)	Prec@1 52.000 (55.404)	Prec@5 84.000 (84.082)
Epoch: [75][2140/9018]	Time 0.617 (0.624)	Data 0.014 (0.004)	Loss 1.5289 (1.6654)	Prec@1 58.500 (55.404)	Prec@5 87.000 (84.085)
Epoch: [75][2150/9018]	Time 0.622 (0.624)	Data 0.001 (0.004)	Loss 1.6774 (1.6653)	Prec@1 58.000 (55.411)	Prec@5 83.000 (84.085)
Epoch: [75][2160/9018]	Time 0.625 (0.624)	Data 0.001 (0.004)	Loss 1.7142 (1.6653)	Prec@1 55.000 (55.413)	Prec@5 84.000 (84.086)
Epoch: [75][2170/9018]	Time 0.629 (0.624)	Data 0.016 (0.004)	Loss 1.5269 (1.6653)	Prec@1 58.000 (55.408)	Prec@5 84.000 (84.083)
Epoch: [75][2180/9018]	Time 0.624 (0.624)	Data 0.016 (0.004)	Loss 1.8656 (1.6652)	Prec@1 55.500 (55.410)	Prec@5 81.000 (84.083)
Epoch: [75][2190/9018]	Time 0.623 (0.624)	Data 0.001 (0.004)	Loss 1.7789 (1.6652)	Prec@1 55.000 (55.413)	Prec@5 77.500 (84.081)
Epoch: [75][2200/9018]	Time 0.640 (0.624)	Data 0.001 (0.004)	Loss 1.6743 (1.6651)	Prec@1 55.500 (55.415)	Prec@5 85.000 (84.085)
Epoch: [75][2210/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.8108 (1.6651)	Prec@1 52.000 (55.419)	Prec@5 83.000 (84.086)
Epoch: [75][2220/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.7032 (1.6650)	Prec@1 53.500 (55.425)	Prec@5 84.000 (84.086)
Epoch: [75][2230/9018]	Time 0.614 (0.624)	Data 0.001 (0.004)	Loss 1.6210 (1.6649)	Prec@1 59.000 (55.433)	Prec@5 85.500 (84.089)
Epoch: [75][2240/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.9229 (1.6649)	Prec@1 48.500 (55.431)	Prec@5 78.500 (84.085)
Epoch: [75][2250/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.6443 (1.6647)	Prec@1 55.000 (55.431)	Prec@5 84.000 (84.091)
Epoch: [75][2260/9018]	Time 0.601 (0.624)	Data 0.004 (0.004)	Loss 1.8880 (1.6649)	Prec@1 49.500 (55.432)	Prec@5 77.000 (84.083)
Epoch: [75][2270/9018]	Time 0.617 (0.624)	Data 0.011 (0.004)	Loss 1.8436 (1.6650)	Prec@1 55.000 (55.432)	Prec@5 80.000 (84.080)
Epoch: [75][2280/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.6671 (1.6650)	Prec@1 53.500 (55.429)	Prec@5 86.000 (84.080)
Epoch: [75][2290/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.7944 (1.6652)	Prec@1 55.000 (55.428)	Prec@5 77.000 (84.073)
Epoch: [75][2300/9018]	Time 0.622 (0.624)	Data 0.001 (0.004)	Loss 1.6286 (1.6651)	Prec@1 57.500 (55.428)	Prec@5 85.500 (84.075)
Epoch: [75][2310/9018]	Time 0.625 (0.624)	Data 0.001 (0.004)	Loss 1.6511 (1.6653)	Prec@1 54.500 (55.419)	Prec@5 83.000 (84.074)
Epoch: [75][2320/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.6021 (1.6654)	Prec@1 61.000 (55.416)	Prec@5 83.000 (84.073)
Epoch: [75][2330/9018]	Time 0.773 (0.624)	Data 0.001 (0.004)	Loss 1.7196 (1.6652)	Prec@1 52.000 (55.412)	Prec@5 82.500 (84.077)
Epoch: [75][2340/9018]	Time 0.601 (0.624)	Data 0.017 (0.004)	Loss 1.8239 (1.6652)	Prec@1 57.000 (55.413)	Prec@5 77.000 (84.076)
Epoch: [75][2350/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.7002 (1.6653)	Prec@1 54.500 (55.413)	Prec@5 84.000 (84.070)
Epoch: [75][2360/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.6541 (1.6655)	Prec@1 55.500 (55.404)	Prec@5 80.500 (84.065)
Epoch: [75][2370/9018]	Time 0.644 (0.624)	Data 0.001 (0.004)	Loss 1.8443 (1.6657)	Prec@1 52.500 (55.399)	Prec@5 83.500 (84.061)
Epoch: [75][2380/9018]	Time 0.721 (0.624)	Data 0.001 (0.004)	Loss 1.8020 (1.6660)	Prec@1 51.500 (55.391)	Prec@5 79.000 (84.053)
Epoch: [75][2390/9018]	Time 0.638 (0.624)	Data 0.001 (0.004)	Loss 1.6439 (1.6660)	Prec@1 55.500 (55.390)	Prec@5 83.000 (84.051)
Epoch: [75][2400/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.5799 (1.6659)	Prec@1 57.500 (55.391)	Prec@5 87.500 (84.052)
Epoch: [75][2410/9018]	Time 0.622 (0.624)	Data 0.013 (0.004)	Loss 1.6990 (1.6661)	Prec@1 56.500 (55.392)	Prec@5 82.000 (84.046)
Epoch: [75][2420/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.8911 (1.6662)	Prec@1 49.500 (55.395)	Prec@5 81.500 (84.043)
Epoch: [75][2430/9018]	Time 0.627 (0.624)	Data 0.001 (0.004)	Loss 1.6384 (1.6663)	Prec@1 53.500 (55.388)	Prec@5 83.500 (84.043)
Epoch: [75][2440/9018]	Time 0.611 (0.624)	Data 0.017 (0.004)	Loss 1.6559 (1.6660)	Prec@1 55.000 (55.396)	Prec@5 84.500 (84.046)
Epoch: [75][2450/9018]	Time 0.629 (0.624)	Data 0.001 (0.004)	Loss 1.5755 (1.6661)	Prec@1 57.500 (55.395)	Prec@5 83.500 (84.041)
Epoch: [75][2460/9018]	Time 0.626 (0.624)	Data 0.017 (0.004)	Loss 1.8689 (1.6662)	Prec@1 55.000 (55.396)	Prec@5 79.000 (84.039)
Epoch: [75][2470/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.7797 (1.6664)	Prec@1 54.500 (55.393)	Prec@5 85.000 (84.036)
Epoch: [75][2480/9018]	Time 0.594 (0.624)	Data 0.001 (0.004)	Loss 1.3440 (1.6662)	Prec@1 64.500 (55.403)	Prec@5 89.000 (84.041)
Epoch: [75][2490/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.6957 (1.6661)	Prec@1 55.000 (55.403)	Prec@5 83.500 (84.044)
Epoch: [75][2500/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.4649 (1.6660)	Prec@1 64.000 (55.408)	Prec@5 89.000 (84.044)
Epoch: [75][2510/9018]	Time 0.621 (0.624)	Data 0.001 (0.004)	Loss 1.6884 (1.6660)	Prec@1 54.000 (55.408)	Prec@5 82.500 (84.045)
Epoch: [75][2520/9018]	Time 0.621 (0.624)	Data 0.014 (0.004)	Loss 1.7920 (1.6660)	Prec@1 54.000 (55.408)	Prec@5 81.000 (84.042)
Epoch: [75][2530/9018]	Time 0.630 (0.624)	Data 0.001 (0.004)	Loss 1.8251 (1.6660)	Prec@1 56.000 (55.407)	Prec@5 82.500 (84.044)
Epoch: [75][2540/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.7226 (1.6659)	Prec@1 54.500 (55.407)	Prec@5 82.500 (84.045)
Epoch: [75][2550/9018]	Time 0.608 (0.624)	Data 0.015 (0.004)	Loss 1.7535 (1.6660)	Prec@1 53.000 (55.409)	Prec@5 81.000 (84.037)
Epoch: [75][2560/9018]	Time 0.628 (0.624)	Data 0.001 (0.004)	Loss 1.7482 (1.6661)	Prec@1 54.000 (55.403)	Prec@5 81.500 (84.035)
Epoch: [75][2570/9018]	Time 0.613 (0.624)	Data 0.001 (0.004)	Loss 1.6598 (1.6664)	Prec@1 57.000 (55.394)	Prec@5 84.000 (84.027)
Epoch: [75][2580/9018]	Time 0.632 (0.624)	Data 0.001 (0.004)	Loss 1.7194 (1.6664)	Prec@1 53.500 (55.390)	Prec@5 81.500 (84.028)
Epoch: [75][2590/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.6602 (1.6662)	Prec@1 60.000 (55.394)	Prec@5 79.500 (84.030)
Epoch: [75][2600/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.6023 (1.6661)	Prec@1 58.000 (55.392)	Prec@5 84.000 (84.029)
Epoch: [75][2610/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.9460 (1.6663)	Prec@1 49.000 (55.386)	Prec@5 78.000 (84.024)
Epoch: [75][2620/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.4180 (1.6662)	Prec@1 61.000 (55.390)	Prec@5 88.000 (84.028)
Epoch: [75][2630/9018]	Time 0.637 (0.624)	Data 0.014 (0.004)	Loss 1.7200 (1.6662)	Prec@1 53.500 (55.387)	Prec@5 84.000 (84.027)
Epoch: [75][2640/9018]	Time 0.609 (0.624)	Data 0.001 (0.004)	Loss 1.5112 (1.6665)	Prec@1 59.000 (55.378)	Prec@5 87.000 (84.024)
Epoch: [75][2650/9018]	Time 0.588 (0.624)	Data 0.001 (0.004)	Loss 1.4350 (1.6663)	Prec@1 60.500 (55.378)	Prec@5 86.000 (84.024)
Epoch: [75][2660/9018]	Time 0.781 (0.624)	Data 0.001 (0.004)	Loss 1.8429 (1.6664)	Prec@1 50.500 (55.373)	Prec@5 81.000 (84.021)
Epoch: [75][2670/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.6931 (1.6665)	Prec@1 52.000 (55.376)	Prec@5 83.500 (84.017)
Epoch: [75][2680/9018]	Time 0.592 (0.624)	Data 0.001 (0.004)	Loss 1.5252 (1.6665)	Prec@1 55.000 (55.377)	Prec@5 85.000 (84.015)
Epoch: [75][2690/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.7515 (1.6663)	Prec@1 53.500 (55.384)	Prec@5 83.500 (84.019)
Epoch: [75][2700/9018]	Time 0.600 (0.624)	Data 0.001 (0.004)	Loss 1.7882 (1.6663)	Prec@1 55.000 (55.383)	Prec@5 86.000 (84.021)
Epoch: [75][2710/9018]	Time 0.782 (0.624)	Data 0.001 (0.004)	Loss 1.5521 (1.6663)	Prec@1 58.000 (55.382)	Prec@5 85.500 (84.023)
Epoch: [75][2720/9018]	Time 0.623 (0.624)	Data 0.001 (0.004)	Loss 1.8042 (1.6662)	Prec@1 53.000 (55.384)	Prec@5 81.000 (84.024)
Epoch: [75][2730/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.7056 (1.6663)	Prec@1 52.000 (55.386)	Prec@5 85.000 (84.023)
Epoch: [75][2740/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.4922 (1.6664)	Prec@1 63.000 (55.389)	Prec@5 85.500 (84.021)
Epoch: [75][2750/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.6977 (1.6665)	Prec@1 55.500 (55.391)	Prec@5 84.500 (84.020)
Epoch: [75][2760/9018]	Time 0.646 (0.624)	Data 0.012 (0.004)	Loss 1.4522 (1.6667)	Prec@1 63.000 (55.385)	Prec@5 86.500 (84.017)
Epoch: [75][2770/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.7560 (1.6668)	Prec@1 49.000 (55.376)	Prec@5 83.500 (84.012)
Epoch: [75][2780/9018]	Time 0.632 (0.624)	Data 0.001 (0.004)	Loss 1.6918 (1.6668)	Prec@1 56.500 (55.372)	Prec@5 83.500 (84.011)
Epoch: [75][2790/9018]	Time 0.636 (0.624)	Data 0.001 (0.004)	Loss 1.6378 (1.6667)	Prec@1 55.000 (55.377)	Prec@5 85.000 (84.015)
Epoch: [75][2800/9018]	Time 0.606 (0.624)	Data 0.015 (0.004)	Loss 1.7540 (1.6667)	Prec@1 54.000 (55.377)	Prec@5 84.500 (84.017)
Epoch: [75][2810/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.7979 (1.6667)	Prec@1 52.500 (55.376)	Prec@5 82.500 (84.017)
Epoch: [75][2820/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.6927 (1.6669)	Prec@1 56.000 (55.373)	Prec@5 86.500 (84.017)
Epoch: [75][2830/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.8489 (1.6668)	Prec@1 49.000 (55.371)	Prec@5 81.500 (84.019)
Epoch: [75][2840/9018]	Time 0.610 (0.624)	Data 0.016 (0.004)	Loss 1.7917 (1.6668)	Prec@1 51.000 (55.373)	Prec@5 84.500 (84.022)
Epoch: [75][2850/9018]	Time 0.635 (0.624)	Data 0.001 (0.004)	Loss 1.5276 (1.6666)	Prec@1 56.500 (55.370)	Prec@5 87.000 (84.023)
Epoch: [75][2860/9018]	Time 0.619 (0.624)	Data 0.001 (0.004)	Loss 1.7926 (1.6667)	Prec@1 54.000 (55.370)	Prec@5 82.000 (84.021)
Epoch: [75][2870/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.5896 (1.6668)	Prec@1 58.500 (55.367)	Prec@5 84.500 (84.023)
Epoch: [75][2880/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.6546 (1.6667)	Prec@1 55.000 (55.369)	Prec@5 82.000 (84.021)
Epoch: [75][2890/9018]	Time 0.598 (0.624)	Data 0.001 (0.004)	Loss 1.6476 (1.6667)	Prec@1 58.000 (55.365)	Prec@5 85.000 (84.021)
Epoch: [75][2900/9018]	Time 0.619 (0.624)	Data 0.017 (0.004)	Loss 1.6223 (1.6664)	Prec@1 57.000 (55.371)	Prec@5 84.000 (84.025)
Epoch: [75][2910/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.7332 (1.6665)	Prec@1 53.000 (55.370)	Prec@5 80.000 (84.023)
Epoch: [75][2920/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.7806 (1.6666)	Prec@1 47.500 (55.363)	Prec@5 85.000 (84.024)
Epoch: [75][2930/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.8103 (1.6665)	Prec@1 48.500 (55.365)	Prec@5 81.000 (84.023)
Epoch: [75][2940/9018]	Time 0.624 (0.624)	Data 0.001 (0.004)	Loss 1.6881 (1.6667)	Prec@1 53.500 (55.362)	Prec@5 83.500 (84.020)
Epoch: [75][2950/9018]	Time 0.592 (0.624)	Data 0.001 (0.004)	Loss 1.5727 (1.6666)	Prec@1 56.500 (55.366)	Prec@5 83.500 (84.020)
Epoch: [75][2960/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.6499 (1.6667)	Prec@1 57.500 (55.365)	Prec@5 85.000 (84.020)
Epoch: [75][2970/9018]	Time 0.611 (0.624)	Data 0.001 (0.004)	Loss 1.7444 (1.6668)	Prec@1 53.500 (55.361)	Prec@5 85.000 (84.020)
Epoch: [75][2980/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.5520 (1.6667)	Prec@1 58.000 (55.364)	Prec@5 86.500 (84.022)
Epoch: [75][2990/9018]	Time 0.779 (0.624)	Data 0.017 (0.004)	Loss 1.7222 (1.6668)	Prec@1 52.500 (55.362)	Prec@5 84.000 (84.020)
Epoch: [75][3000/9018]	Time 0.609 (0.624)	Data 0.007 (0.004)	Loss 1.8341 (1.6668)	Prec@1 52.500 (55.362)	Prec@5 83.000 (84.019)
Epoch: [75][3010/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.8120 (1.6670)	Prec@1 49.500 (55.355)	Prec@5 81.000 (84.013)
Epoch: [75][3020/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.7769 (1.6670)	Prec@1 55.500 (55.358)	Prec@5 81.500 (84.017)
Epoch: [75][3030/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.7448 (1.6671)	Prec@1 48.000 (55.352)	Prec@5 85.000 (84.016)
Epoch: [75][3040/9018]	Time 0.772 (0.624)	Data 0.007 (0.004)	Loss 1.6963 (1.6671)	Prec@1 54.500 (55.351)	Prec@5 87.500 (84.014)
Epoch: [75][3050/9018]	Time 0.616 (0.624)	Data 0.001 (0.004)	Loss 1.6208 (1.6672)	Prec@1 56.500 (55.348)	Prec@5 84.500 (84.012)
Epoch: [75][3060/9018]	Time 0.601 (0.624)	Data 0.001 (0.004)	Loss 1.5214 (1.6669)	Prec@1 61.000 (55.355)	Prec@5 88.000 (84.020)
Epoch: [75][3070/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.4028 (1.6666)	Prec@1 66.500 (55.358)	Prec@5 88.500 (84.027)
Epoch: [75][3080/9018]	Time 0.627 (0.624)	Data 0.001 (0.004)	Loss 2.0676 (1.6669)	Prec@1 50.000 (55.353)	Prec@5 74.000 (84.019)
Epoch: [75][3090/9018]	Time 0.603 (0.624)	Data 0.001 (0.004)	Loss 1.7668 (1.6672)	Prec@1 52.000 (55.349)	Prec@5 80.500 (84.013)
Epoch: [75][3100/9018]	Time 0.629 (0.624)	Data 0.001 (0.004)	Loss 1.6678 (1.6673)	Prec@1 60.500 (55.348)	Prec@5 84.000 (84.012)
Epoch: [75][3110/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.8762 (1.6672)	Prec@1 50.500 (55.349)	Prec@5 81.500 (84.015)
Epoch: [75][3120/9018]	Time 0.597 (0.624)	Data 0.001 (0.004)	Loss 1.7218 (1.6673)	Prec@1 50.000 (55.346)	Prec@5 82.500 (84.013)
Epoch: [75][3130/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.6355 (1.6672)	Prec@1 56.000 (55.352)	Prec@5 87.000 (84.017)
Epoch: [75][3140/9018]	Time 0.654 (0.624)	Data 0.001 (0.004)	Loss 1.7419 (1.6673)	Prec@1 55.500 (55.348)	Prec@5 80.500 (84.011)
Epoch: [75][3150/9018]	Time 0.625 (0.624)	Data 0.001 (0.004)	Loss 1.7213 (1.6674)	Prec@1 50.500 (55.347)	Prec@5 81.500 (84.008)
Epoch: [75][3160/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.6443 (1.6675)	Prec@1 54.000 (55.342)	Prec@5 85.500 (84.009)
Epoch: [75][3170/9018]	Time 0.623 (0.624)	Data 0.001 (0.004)	Loss 1.5687 (1.6674)	Prec@1 57.500 (55.343)	Prec@5 86.000 (84.008)
Epoch: [75][3180/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.7369 (1.6675)	Prec@1 50.500 (55.340)	Prec@5 82.500 (84.006)
Epoch: [75][3190/9018]	Time 0.599 (0.624)	Data 0.001 (0.004)	Loss 1.6659 (1.6676)	Prec@1 53.500 (55.333)	Prec@5 83.000 (84.003)
Epoch: [75][3200/9018]	Time 0.625 (0.624)	Data 0.013 (0.004)	Loss 1.7182 (1.6677)	Prec@1 51.000 (55.333)	Prec@5 84.500 (84.002)
Epoch: [75][3210/9018]	Time 0.618 (0.624)	Data 0.001 (0.004)	Loss 1.7564 (1.6678)	Prec@1 56.500 (55.332)	Prec@5 83.000 (84.002)
Epoch: [75][3220/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.6627 (1.6678)	Prec@1 53.500 (55.328)	Prec@5 86.500 (84.002)
Epoch: [75][3230/9018]	Time 0.605 (0.624)	Data 0.001 (0.004)	Loss 1.5671 (1.6677)	Prec@1 58.000 (55.332)	Prec@5 84.500 (84.004)
Epoch: [75][3240/9018]	Time 0.643 (0.624)	Data 0.011 (0.004)	Loss 1.5954 (1.6676)	Prec@1 55.500 (55.332)	Prec@5 86.500 (84.005)
Epoch: [75][3250/9018]	Time 0.606 (0.624)	Data 0.001 (0.004)	Loss 1.6989 (1.6675)	Prec@1 56.500 (55.331)	Prec@5 85.000 (84.007)
Epoch: [75][3260/9018]	Time 0.608 (0.624)	Data 0.009 (0.004)	Loss 1.7250 (1.6676)	Prec@1 49.000 (55.331)	Prec@5 85.500 (84.004)
Epoch: [75][3270/9018]	Time 0.612 (0.624)	Data 0.001 (0.004)	Loss 1.7113 (1.6674)	Prec@1 51.500 (55.332)	Prec@5 81.500 (84.006)
Epoch: [75][3280/9018]	Time 0.593 (0.624)	Data 0.001 (0.004)	Loss 1.6644 (1.6674)	Prec@1 54.000 (55.337)	Prec@5 84.000 (84.004)
Epoch: [75][3290/9018]	Time 0.608 (0.624)	Data 0.001 (0.004)	Loss 1.7173 (1.6676)	Prec@1 56.500 (55.335)	Prec@5 82.000 (84.000)
Epoch: [75][3300/9018]	Time 0.615 (0.623)	Data 0.001 (0.004)	Loss 1.7188 (1.6676)	Prec@1 54.500 (55.333)	Prec@5 83.500 (83.998)
Epoch: [75][3310/9018]	Time 0.610 (0.623)	Data 0.001 (0.004)	Loss 1.5227 (1.6676)	Prec@1 54.000 (55.332)	Prec@5 87.500 (83.998)
Epoch: [75][3320/9018]	Time 0.800 (0.624)	Data 0.001 (0.004)	Loss 1.6984 (1.6676)	Prec@1 54.000 (55.328)	Prec@5 85.000 (83.999)
Epoch: [75][3330/9018]	Time 0.621 (0.623)	Data 0.004 (0.004)	Loss 1.5985 (1.6676)	Prec@1 56.500 (55.326)	Prec@5 86.500 (84.002)
Epoch: [75][3340/9018]	Time 0.607 (0.624)	Data 0.001 (0.004)	Loss 1.4776 (1.6675)	Prec@1 61.500 (55.329)	Prec@5 90.000 (84.001)
Epoch: [75][3350/9018]	Time 0.620 (0.623)	Data 0.001 (0.004)	Loss 1.9015 (1.6674)	Prec@1 47.000 (55.329)	Prec@5 80.000 (84.003)
Epoch: [75][3360/9018]	Time 0.615 (0.624)	Data 0.001 (0.004)	Loss 1.6198 (1.6675)	Prec@1 56.500 (55.328)	Prec@5 83.500 (84.001)
Epoch: [75][3370/9018]	Time 0.753 (0.624)	Data 0.001 (0.003)	Loss 1.7075 (1.6675)	Prec@1 53.000 (55.325)	Prec@5 83.000 (84.002)
Epoch: [75][3380/9018]	Time 0.633 (0.624)	Data 0.007 (0.003)	Loss 1.7723 (1.6675)	Prec@1 51.000 (55.324)	Prec@5 79.500 (84.001)
Epoch: [75][3390/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.7518 (1.6675)	Prec@1 54.000 (55.324)	Prec@5 81.000 (84.002)
Epoch: [75][3400/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.7565 (1.6675)	Prec@1 53.000 (55.323)	Prec@5 82.500 (84.002)
Epoch: [75][3410/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.6662 (1.6676)	Prec@1 55.500 (55.319)	Prec@5 85.500 (84.002)
Epoch: [75][3420/9018]	Time 0.617 (0.624)	Data 0.001 (0.004)	Loss 1.4778 (1.6677)	Prec@1 60.000 (55.314)	Prec@5 85.500 (84.004)
Epoch: [75][3430/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.8714 (1.6676)	Prec@1 52.000 (55.314)	Prec@5 80.500 (84.006)
Epoch: [75][3440/9018]	Time 0.590 (0.624)	Data 0.001 (0.004)	Loss 1.6473 (1.6677)	Prec@1 56.000 (55.309)	Prec@5 87.000 (84.005)
Epoch: [75][3450/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.7311 (1.6679)	Prec@1 55.500 (55.309)	Prec@5 83.500 (84.004)
Epoch: [75][3460/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.4268 (1.6677)	Prec@1 58.500 (55.314)	Prec@5 88.500 (84.006)
Epoch: [75][3470/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.3484 (1.6676)	Prec@1 61.500 (55.317)	Prec@5 85.500 (84.008)
Epoch: [75][3480/9018]	Time 0.626 (0.624)	Data 0.002 (0.003)	Loss 1.6057 (1.6674)	Prec@1 51.000 (55.319)	Prec@5 84.000 (84.009)
Epoch: [75][3490/9018]	Time 0.638 (0.624)	Data 0.001 (0.003)	Loss 1.6842 (1.6675)	Prec@1 49.000 (55.313)	Prec@5 84.500 (84.008)
Epoch: [75][3500/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.7195 (1.6675)	Prec@1 53.500 (55.309)	Prec@5 83.500 (84.009)
Epoch: [75][3510/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.7221 (1.6674)	Prec@1 54.500 (55.311)	Prec@5 82.500 (84.008)
Epoch: [75][3520/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.6580 (1.6674)	Prec@1 56.500 (55.316)	Prec@5 84.000 (84.008)
Epoch: [75][3530/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.6808 (1.6675)	Prec@1 56.500 (55.310)	Prec@5 83.000 (84.006)
Epoch: [75][3540/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.6877 (1.6674)	Prec@1 52.500 (55.308)	Prec@5 81.000 (84.008)
Epoch: [75][3550/9018]	Time 0.606 (0.624)	Data 0.003 (0.003)	Loss 1.9623 (1.6675)	Prec@1 50.500 (55.309)	Prec@5 82.000 (84.007)
Epoch: [75][3560/9018]	Time 0.620 (0.624)	Data 0.012 (0.003)	Loss 1.6679 (1.6676)	Prec@1 55.000 (55.309)	Prec@5 83.000 (84.008)
Epoch: [75][3570/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.8434 (1.6675)	Prec@1 55.500 (55.317)	Prec@5 78.500 (84.010)
Epoch: [75][3580/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.5590 (1.6674)	Prec@1 57.000 (55.318)	Prec@5 88.500 (84.015)
Epoch: [75][3590/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.3267 (1.6674)	Prec@1 64.000 (55.319)	Prec@5 88.500 (84.014)
Epoch: [75][3600/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.5278 (1.6674)	Prec@1 60.500 (55.322)	Prec@5 83.500 (84.015)
Epoch: [75][3610/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.6583 (1.6674)	Prec@1 57.500 (55.320)	Prec@5 82.000 (84.012)
Epoch: [75][3620/9018]	Time 0.608 (0.624)	Data 0.003 (0.003)	Loss 1.6089 (1.6675)	Prec@1 57.000 (55.315)	Prec@5 84.500 (84.012)
Epoch: [75][3630/9018]	Time 0.657 (0.624)	Data 0.001 (0.003)	Loss 1.5795 (1.6674)	Prec@1 59.500 (55.315)	Prec@5 82.500 (84.012)
Epoch: [75][3640/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.6437 (1.6675)	Prec@1 59.500 (55.314)	Prec@5 83.000 (84.010)
Epoch: [75][3650/9018]	Time 0.741 (0.624)	Data 0.001 (0.003)	Loss 1.7588 (1.6676)	Prec@1 53.000 (55.313)	Prec@5 83.500 (84.008)
Epoch: [75][3660/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.8006 (1.6676)	Prec@1 52.000 (55.313)	Prec@5 81.500 (84.008)
Epoch: [75][3670/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.4493 (1.6675)	Prec@1 58.000 (55.314)	Prec@5 87.000 (84.009)
Epoch: [75][3680/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6249 (1.6676)	Prec@1 57.000 (55.312)	Prec@5 87.500 (84.010)
Epoch: [75][3690/9018]	Time 0.609 (0.623)	Data 0.013 (0.003)	Loss 1.7566 (1.6676)	Prec@1 53.500 (55.311)	Prec@5 85.000 (84.012)
Epoch: [75][3700/9018]	Time 0.783 (0.624)	Data 0.001 (0.003)	Loss 1.5932 (1.6677)	Prec@1 59.500 (55.307)	Prec@5 84.500 (84.013)
Epoch: [75][3710/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.9046 (1.6676)	Prec@1 51.000 (55.309)	Prec@5 77.000 (84.012)
Epoch: [75][3720/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.5958 (1.6676)	Prec@1 55.000 (55.309)	Prec@5 85.500 (84.013)
Epoch: [75][3730/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.5217 (1.6676)	Prec@1 54.000 (55.307)	Prec@5 87.500 (84.012)
Epoch: [75][3740/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.6469 (1.6675)	Prec@1 56.500 (55.306)	Prec@5 84.500 (84.015)
Epoch: [75][3750/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.6597 (1.6676)	Prec@1 51.500 (55.304)	Prec@5 86.000 (84.015)
Epoch: [75][3760/9018]	Time 0.639 (0.624)	Data 0.007 (0.003)	Loss 1.6176 (1.6677)	Prec@1 52.500 (55.301)	Prec@5 84.500 (84.012)
Epoch: [75][3770/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.7280 (1.6676)	Prec@1 53.500 (55.302)	Prec@5 82.500 (84.014)
Epoch: [75][3780/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.4966 (1.6675)	Prec@1 58.000 (55.304)	Prec@5 85.500 (84.016)
Epoch: [75][3790/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.6083 (1.6675)	Prec@1 54.500 (55.303)	Prec@5 86.000 (84.016)
Epoch: [75][3800/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.7466 (1.6675)	Prec@1 53.500 (55.303)	Prec@5 86.500 (84.018)
Epoch: [75][3810/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.6889 (1.6675)	Prec@1 49.500 (55.302)	Prec@5 85.500 (84.017)
Epoch: [75][3820/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.7747 (1.6675)	Prec@1 54.500 (55.302)	Prec@5 82.000 (84.017)
Epoch: [75][3830/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.7301 (1.6677)	Prec@1 53.500 (55.299)	Prec@5 81.500 (84.016)
Epoch: [75][3840/9018]	Time 0.633 (0.624)	Data 0.001 (0.003)	Loss 1.8365 (1.6677)	Prec@1 52.500 (55.298)	Prec@5 81.500 (84.014)
Epoch: [75][3850/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.7245 (1.6677)	Prec@1 56.000 (55.300)	Prec@5 83.500 (84.014)
Epoch: [75][3860/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.7564 (1.6680)	Prec@1 54.000 (55.296)	Prec@5 82.500 (84.007)
Epoch: [75][3870/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.9116 (1.6682)	Prec@1 52.500 (55.291)	Prec@5 80.500 (84.004)
Epoch: [75][3880/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.9019 (1.6682)	Prec@1 51.000 (55.289)	Prec@5 79.000 (84.003)
Epoch: [75][3890/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.7121 (1.6683)	Prec@1 49.000 (55.292)	Prec@5 83.000 (84.002)
Epoch: [75][3900/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.5857 (1.6683)	Prec@1 54.000 (55.289)	Prec@5 86.000 (84.000)
Epoch: [75][3910/9018]	Time 0.609 (0.624)	Data 0.009 (0.003)	Loss 1.6807 (1.6682)	Prec@1 55.500 (55.291)	Prec@5 82.500 (83.998)
Epoch: [75][3920/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.4899 (1.6682)	Prec@1 60.000 (55.296)	Prec@5 86.500 (84.001)
Epoch: [75][3930/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6462 (1.6682)	Prec@1 53.500 (55.294)	Prec@5 85.000 (84.000)
Epoch: [75][3940/9018]	Time 0.644 (0.624)	Data 0.005 (0.003)	Loss 1.7499 (1.6683)	Prec@1 51.500 (55.295)	Prec@5 81.000 (84.001)
Epoch: [75][3950/9018]	Time 0.626 (0.624)	Data 0.016 (0.003)	Loss 1.4856 (1.6682)	Prec@1 60.500 (55.301)	Prec@5 85.000 (83.999)
Epoch: [75][3960/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.5849 (1.6683)	Prec@1 60.000 (55.298)	Prec@5 84.500 (83.998)
Epoch: [75][3970/9018]	Time 0.610 (0.624)	Data 0.013 (0.003)	Loss 1.7253 (1.6685)	Prec@1 53.500 (55.291)	Prec@5 87.500 (83.997)
Epoch: [75][3980/9018]	Time 0.765 (0.624)	Data 0.001 (0.003)	Loss 1.7532 (1.6687)	Prec@1 56.000 (55.288)	Prec@5 82.500 (83.992)
Epoch: [75][3990/9018]	Time 0.620 (0.624)	Data 0.014 (0.003)	Loss 1.6720 (1.6688)	Prec@1 54.500 (55.284)	Prec@5 84.000 (83.992)
Epoch: [75][4000/9018]	Time 0.633 (0.624)	Data 0.015 (0.003)	Loss 1.7658 (1.6688)	Prec@1 52.500 (55.283)	Prec@5 81.000 (83.990)
Epoch: [75][4010/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.6757 (1.6689)	Prec@1 54.500 (55.282)	Prec@5 87.500 (83.989)
Epoch: [75][4020/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.5877 (1.6691)	Prec@1 57.000 (55.278)	Prec@5 87.500 (83.987)
Epoch: [75][4030/9018]	Time 0.716 (0.624)	Data 0.001 (0.003)	Loss 1.7004 (1.6691)	Prec@1 48.000 (55.277)	Prec@5 84.000 (83.985)
Epoch: [75][4040/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6074 (1.6689)	Prec@1 55.000 (55.276)	Prec@5 84.500 (83.989)
Epoch: [75][4050/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.5471 (1.6689)	Prec@1 59.500 (55.278)	Prec@5 85.000 (83.989)
Epoch: [75][4060/9018]	Time 0.593 (0.624)	Data 0.016 (0.003)	Loss 1.5961 (1.6690)	Prec@1 53.500 (55.276)	Prec@5 85.500 (83.987)
Epoch: [75][4070/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.5838 (1.6690)	Prec@1 60.500 (55.276)	Prec@5 85.000 (83.987)
Epoch: [75][4080/9018]	Time 0.595 (0.624)	Data 0.014 (0.003)	Loss 1.7739 (1.6690)	Prec@1 49.000 (55.275)	Prec@5 81.500 (83.987)
Epoch: [75][4090/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.8849 (1.6690)	Prec@1 54.000 (55.278)	Prec@5 81.000 (83.986)
Epoch: [75][4100/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.5684 (1.6690)	Prec@1 57.500 (55.277)	Prec@5 84.000 (83.985)
Epoch: [75][4110/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6912 (1.6690)	Prec@1 52.500 (55.273)	Prec@5 86.000 (83.985)
Epoch: [75][4120/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.5673 (1.6691)	Prec@1 60.000 (55.274)	Prec@5 86.000 (83.984)
Epoch: [75][4130/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.7494 (1.6691)	Prec@1 54.000 (55.277)	Prec@5 83.500 (83.982)
Epoch: [75][4140/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.4006 (1.6691)	Prec@1 59.500 (55.272)	Prec@5 88.000 (83.984)
Epoch: [75][4150/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.8222 (1.6692)	Prec@1 51.000 (55.268)	Prec@5 80.500 (83.982)
Epoch: [75][4160/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.6589 (1.6693)	Prec@1 55.000 (55.266)	Prec@5 84.500 (83.981)
Epoch: [75][4170/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.7825 (1.6693)	Prec@1 52.000 (55.262)	Prec@5 79.000 (83.979)
Epoch: [75][4180/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.6036 (1.6694)	Prec@1 58.000 (55.260)	Prec@5 82.500 (83.979)
Epoch: [75][4190/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.5473 (1.6694)	Prec@1 59.000 (55.258)	Prec@5 85.500 (83.977)
Epoch: [75][4200/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.5848 (1.6694)	Prec@1 63.000 (55.258)	Prec@5 81.000 (83.976)
Epoch: [75][4210/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.7697 (1.6695)	Prec@1 53.000 (55.260)	Prec@5 81.000 (83.976)
Epoch: [75][4220/9018]	Time 0.607 (0.624)	Data 0.014 (0.003)	Loss 1.8148 (1.6695)	Prec@1 53.500 (55.260)	Prec@5 81.500 (83.975)
Epoch: [75][4230/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.7795 (1.6695)	Prec@1 51.500 (55.261)	Prec@5 83.500 (83.975)
Epoch: [75][4240/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6250 (1.6695)	Prec@1 56.000 (55.261)	Prec@5 83.500 (83.974)
Epoch: [75][4250/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.9376 (1.6696)	Prec@1 48.000 (55.258)	Prec@5 78.500 (83.969)
Epoch: [75][4260/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.5176 (1.6697)	Prec@1 59.000 (55.257)	Prec@5 86.000 (83.969)
Epoch: [75][4270/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7014 (1.6697)	Prec@1 53.500 (55.256)	Prec@5 80.500 (83.969)
Epoch: [75][4280/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.7448 (1.6698)	Prec@1 53.500 (55.256)	Prec@5 80.000 (83.966)
Epoch: [75][4290/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.5681 (1.6699)	Prec@1 59.000 (55.254)	Prec@5 83.000 (83.962)
Epoch: [75][4300/9018]	Time 0.605 (0.623)	Data 0.014 (0.003)	Loss 1.8207 (1.6699)	Prec@1 53.000 (55.255)	Prec@5 81.500 (83.962)
Epoch: [75][4310/9018]	Time 0.779 (0.624)	Data 0.001 (0.003)	Loss 1.6151 (1.6699)	Prec@1 57.000 (55.255)	Prec@5 86.000 (83.963)
Epoch: [75][4320/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.8928 (1.6700)	Prec@1 52.500 (55.255)	Prec@5 81.000 (83.963)
Epoch: [75][4330/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.6695 (1.6700)	Prec@1 50.500 (55.250)	Prec@5 82.500 (83.960)
Epoch: [75][4340/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.4986 (1.6699)	Prec@1 56.000 (55.251)	Prec@5 88.000 (83.962)
Epoch: [75][4350/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7174 (1.6699)	Prec@1 51.500 (55.251)	Prec@5 83.000 (83.964)
Epoch: [75][4360/9018]	Time 0.785 (0.624)	Data 0.001 (0.003)	Loss 1.6965 (1.6699)	Prec@1 56.500 (55.249)	Prec@5 83.500 (83.964)
Epoch: [75][4370/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6150 (1.6698)	Prec@1 57.000 (55.252)	Prec@5 83.500 (83.965)
Epoch: [75][4380/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7155 (1.6700)	Prec@1 56.000 (55.250)	Prec@5 80.000 (83.960)
Epoch: [75][4390/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.5786 (1.6700)	Prec@1 57.500 (55.247)	Prec@5 83.000 (83.962)
Epoch: [75][4400/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6591 (1.6700)	Prec@1 53.500 (55.247)	Prec@5 85.500 (83.960)
Epoch: [75][4410/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7117 (1.6700)	Prec@1 52.000 (55.251)	Prec@5 82.500 (83.960)
Epoch: [75][4420/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6693 (1.6698)	Prec@1 56.000 (55.255)	Prec@5 86.000 (83.962)
Epoch: [75][4430/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.5642 (1.6696)	Prec@1 58.000 (55.259)	Prec@5 87.000 (83.965)
Epoch: [75][4440/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6406 (1.6698)	Prec@1 59.500 (55.257)	Prec@5 81.500 (83.961)
Epoch: [75][4450/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7372 (1.6697)	Prec@1 56.500 (55.260)	Prec@5 84.000 (83.959)
Epoch: [75][4460/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6473 (1.6698)	Prec@1 56.000 (55.258)	Prec@5 82.500 (83.959)
Epoch: [75][4470/9018]	Time 0.619 (0.623)	Data 0.002 (0.003)	Loss 1.6401 (1.6696)	Prec@1 56.000 (55.261)	Prec@5 83.500 (83.961)
Epoch: [75][4480/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6578 (1.6696)	Prec@1 55.500 (55.260)	Prec@5 85.000 (83.960)
Epoch: [75][4490/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.5430 (1.6695)	Prec@1 56.000 (55.262)	Prec@5 88.500 (83.963)
Epoch: [75][4500/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.5005 (1.6695)	Prec@1 55.500 (55.260)	Prec@5 88.000 (83.960)
Epoch: [75][4510/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 2.0743 (1.6698)	Prec@1 43.000 (55.252)	Prec@5 77.500 (83.955)
Epoch: [75][4520/9018]	Time 0.616 (0.623)	Data 0.014 (0.003)	Loss 1.4151 (1.6698)	Prec@1 61.500 (55.251)	Prec@5 85.000 (83.953)
Epoch: [75][4530/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6209 (1.6698)	Prec@1 56.500 (55.252)	Prec@5 86.000 (83.953)
Epoch: [75][4540/9018]	Time 0.611 (0.623)	Data 0.015 (0.003)	Loss 1.5994 (1.6698)	Prec@1 58.000 (55.254)	Prec@5 88.000 (83.951)
Epoch: [75][4550/9018]	Time 0.616 (0.623)	Data 0.014 (0.003)	Loss 1.5381 (1.6699)	Prec@1 59.000 (55.254)	Prec@5 88.500 (83.950)
Epoch: [75][4560/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7738 (1.6700)	Prec@1 54.500 (55.250)	Prec@5 83.000 (83.947)
Epoch: [75][4570/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.5477 (1.6702)	Prec@1 61.500 (55.247)	Prec@5 85.500 (83.946)
Epoch: [75][4580/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.4754 (1.6702)	Prec@1 60.000 (55.245)	Prec@5 86.000 (83.947)
Epoch: [75][4590/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6165 (1.6702)	Prec@1 50.500 (55.242)	Prec@5 86.500 (83.946)
Epoch: [75][4600/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6091 (1.6702)	Prec@1 58.000 (55.243)	Prec@5 82.500 (83.946)
Epoch: [75][4610/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.6588 (1.6702)	Prec@1 58.000 (55.243)	Prec@5 83.500 (83.947)
Epoch: [75][4620/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.5556 (1.6703)	Prec@1 56.000 (55.239)	Prec@5 84.500 (83.946)
Epoch: [75][4630/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.9327 (1.6704)	Prec@1 43.000 (55.234)	Prec@5 80.500 (83.944)
Epoch: [75][4640/9018]	Time 0.758 (0.623)	Data 0.002 (0.003)	Loss 1.6023 (1.6704)	Prec@1 54.500 (55.235)	Prec@5 85.500 (83.947)
Epoch: [75][4650/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.4407 (1.6703)	Prec@1 58.000 (55.236)	Prec@5 90.000 (83.948)
Epoch: [75][4660/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7100 (1.6704)	Prec@1 54.500 (55.234)	Prec@5 82.000 (83.947)
Epoch: [75][4670/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.9385 (1.6703)	Prec@1 50.000 (55.233)	Prec@5 78.500 (83.948)
Epoch: [75][4680/9018]	Time 0.603 (0.623)	Data 0.013 (0.003)	Loss 1.6458 (1.6703)	Prec@1 53.000 (55.236)	Prec@5 83.500 (83.946)
Epoch: [75][4690/9018]	Time 0.727 (0.623)	Data 0.001 (0.003)	Loss 1.9761 (1.6703)	Prec@1 44.500 (55.236)	Prec@5 77.500 (83.943)
Epoch: [75][4700/9018]	Time 0.614 (0.623)	Data 0.006 (0.003)	Loss 1.5536 (1.6703)	Prec@1 57.500 (55.235)	Prec@5 86.000 (83.945)
Epoch: [75][4710/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6390 (1.6703)	Prec@1 55.000 (55.233)	Prec@5 87.000 (83.947)
Epoch: [75][4720/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 2.0007 (1.6703)	Prec@1 49.000 (55.231)	Prec@5 81.000 (83.946)
Epoch: [75][4730/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5393 (1.6702)	Prec@1 58.500 (55.233)	Prec@5 87.500 (83.948)
Epoch: [75][4740/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7510 (1.6703)	Prec@1 53.500 (55.229)	Prec@5 80.500 (83.944)
Epoch: [75][4750/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.4308 (1.6704)	Prec@1 67.500 (55.229)	Prec@5 87.500 (83.944)
Epoch: [75][4760/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7107 (1.6703)	Prec@1 56.000 (55.228)	Prec@5 81.500 (83.945)
Epoch: [75][4770/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.8719 (1.6704)	Prec@1 51.500 (55.227)	Prec@5 82.500 (83.944)
Epoch: [75][4780/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6996 (1.6703)	Prec@1 48.000 (55.227)	Prec@5 86.500 (83.946)
Epoch: [75][4790/9018]	Time 0.612 (0.623)	Data 0.014 (0.003)	Loss 1.6446 (1.6703)	Prec@1 58.500 (55.229)	Prec@5 84.000 (83.946)
Epoch: [75][4800/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.6780 (1.6704)	Prec@1 55.000 (55.230)	Prec@5 84.500 (83.944)
Epoch: [75][4810/9018]	Time 0.604 (0.623)	Data 0.015 (0.003)	Loss 1.7802 (1.6703)	Prec@1 52.500 (55.231)	Prec@5 77.500 (83.944)
Epoch: [75][4820/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7273 (1.6704)	Prec@1 55.000 (55.228)	Prec@5 82.500 (83.945)
Epoch: [75][4830/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.5343 (1.6704)	Prec@1 64.500 (55.231)	Prec@5 83.500 (83.947)
Epoch: [75][4840/9018]	Time 0.607 (0.623)	Data 0.017 (0.003)	Loss 1.6106 (1.6704)	Prec@1 55.500 (55.228)	Prec@5 82.500 (83.946)
Epoch: [75][4850/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8535 (1.6705)	Prec@1 49.500 (55.227)	Prec@5 81.000 (83.944)
Epoch: [75][4860/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.9094 (1.6705)	Prec@1 50.000 (55.225)	Prec@5 77.500 (83.942)
Epoch: [75][4870/9018]	Time 0.610 (0.623)	Data 0.016 (0.003)	Loss 1.6896 (1.6706)	Prec@1 53.500 (55.225)	Prec@5 84.000 (83.942)
Epoch: [75][4880/9018]	Time 0.610 (0.623)	Data 0.008 (0.003)	Loss 1.5833 (1.6705)	Prec@1 60.000 (55.227)	Prec@5 85.000 (83.943)
Epoch: [75][4890/9018]	Time 0.607 (0.623)	Data 0.016 (0.003)	Loss 1.7577 (1.6705)	Prec@1 52.000 (55.227)	Prec@5 84.000 (83.942)
Epoch: [75][4900/9018]	Time 0.588 (0.623)	Data 0.001 (0.003)	Loss 1.6171 (1.6705)	Prec@1 55.000 (55.226)	Prec@5 81.000 (83.944)
Epoch: [75][4910/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.9298 (1.6705)	Prec@1 48.000 (55.223)	Prec@5 80.500 (83.943)
Epoch: [75][4920/9018]	Time 0.586 (0.623)	Data 0.001 (0.003)	Loss 1.8536 (1.6706)	Prec@1 51.000 (55.223)	Prec@5 80.500 (83.940)
Epoch: [75][4930/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.5793 (1.6706)	Prec@1 53.000 (55.221)	Prec@5 88.500 (83.940)
Epoch: [75][4940/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6051 (1.6706)	Prec@1 57.000 (55.222)	Prec@5 82.500 (83.938)
Epoch: [75][4950/9018]	Time 0.616 (0.623)	Data 0.017 (0.003)	Loss 1.7715 (1.6705)	Prec@1 49.500 (55.221)	Prec@5 84.000 (83.939)
Epoch: [75][4960/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.8985 (1.6706)	Prec@1 52.500 (55.221)	Prec@5 77.000 (83.938)
Epoch: [75][4970/9018]	Time 0.803 (0.623)	Data 0.001 (0.003)	Loss 1.6379 (1.6707)	Prec@1 56.000 (55.219)	Prec@5 84.000 (83.937)
Epoch: [75][4980/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7607 (1.6708)	Prec@1 52.500 (55.215)	Prec@5 83.000 (83.932)
Epoch: [75][4990/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6033 (1.6709)	Prec@1 56.500 (55.215)	Prec@5 88.500 (83.934)
Epoch: [75][5000/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.9038 (1.6710)	Prec@1 46.000 (55.213)	Prec@5 79.000 (83.933)
Epoch: [75][5010/9018]	Time 0.603 (0.623)	Data 0.015 (0.003)	Loss 1.5528 (1.6710)	Prec@1 60.000 (55.213)	Prec@5 86.000 (83.934)
Epoch: [75][5020/9018]	Time 0.758 (0.623)	Data 0.001 (0.003)	Loss 1.5752 (1.6710)	Prec@1 60.000 (55.213)	Prec@5 84.000 (83.936)
Epoch: [75][5030/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.6411 (1.6709)	Prec@1 55.000 (55.214)	Prec@5 88.000 (83.937)
Epoch: [75][5040/9018]	Time 0.632 (0.623)	Data 0.003 (0.003)	Loss 1.7985 (1.6710)	Prec@1 52.500 (55.212)	Prec@5 83.500 (83.935)
Epoch: [75][5050/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.6653 (1.6711)	Prec@1 51.500 (55.211)	Prec@5 85.500 (83.933)
Epoch: [75][5060/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6804 (1.6712)	Prec@1 57.000 (55.210)	Prec@5 85.500 (83.933)
Epoch: [75][5070/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6463 (1.6711)	Prec@1 57.500 (55.210)	Prec@5 86.000 (83.935)
Epoch: [75][5080/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.5922 (1.6712)	Prec@1 55.500 (55.208)	Prec@5 87.500 (83.934)
Epoch: [75][5090/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7883 (1.6711)	Prec@1 57.500 (55.212)	Prec@5 80.000 (83.937)
Epoch: [75][5100/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5949 (1.6711)	Prec@1 55.000 (55.212)	Prec@5 83.500 (83.936)
Epoch: [75][5110/9018]	Time 0.615 (0.623)	Data 0.008 (0.003)	Loss 1.5542 (1.6711)	Prec@1 56.000 (55.212)	Prec@5 88.500 (83.937)
Epoch: [75][5120/9018]	Time 0.623 (0.623)	Data 0.009 (0.003)	Loss 1.7502 (1.6712)	Prec@1 51.500 (55.210)	Prec@5 84.500 (83.936)
Epoch: [75][5130/9018]	Time 0.620 (0.623)	Data 0.017 (0.003)	Loss 1.6308 (1.6713)	Prec@1 54.500 (55.206)	Prec@5 84.000 (83.936)
Epoch: [75][5140/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.8163 (1.6713)	Prec@1 54.000 (55.207)	Prec@5 79.000 (83.934)
Epoch: [75][5150/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.9717 (1.6712)	Prec@1 51.000 (55.209)	Prec@5 78.000 (83.934)
Epoch: [75][5160/9018]	Time 0.608 (0.623)	Data 0.003 (0.003)	Loss 1.6371 (1.6713)	Prec@1 57.500 (55.206)	Prec@5 81.500 (83.934)
Epoch: [75][5170/9018]	Time 0.645 (0.623)	Data 0.001 (0.003)	Loss 1.9016 (1.6714)	Prec@1 50.000 (55.207)	Prec@5 80.000 (83.933)
Epoch: [75][5180/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8921 (1.6714)	Prec@1 49.500 (55.206)	Prec@5 83.000 (83.932)
Epoch: [75][5190/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.8327 (1.6714)	Prec@1 51.000 (55.205)	Prec@5 80.000 (83.932)
Epoch: [75][5200/9018]	Time 0.616 (0.623)	Data 0.016 (0.003)	Loss 1.7624 (1.6714)	Prec@1 51.000 (55.206)	Prec@5 85.500 (83.933)
Epoch: [75][5210/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6314 (1.6715)	Prec@1 57.500 (55.203)	Prec@5 84.500 (83.932)
Epoch: [75][5220/9018]	Time 0.655 (0.623)	Data 0.018 (0.003)	Loss 1.7730 (1.6716)	Prec@1 50.500 (55.198)	Prec@5 82.000 (83.933)
Epoch: [75][5230/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.5602 (1.6717)	Prec@1 56.000 (55.193)	Prec@5 88.500 (83.932)
Epoch: [75][5240/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7030 (1.6717)	Prec@1 54.000 (55.194)	Prec@5 83.500 (83.932)
Epoch: [75][5250/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.7026 (1.6718)	Prec@1 49.500 (55.191)	Prec@5 85.000 (83.933)
Epoch: [75][5260/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.5904 (1.6717)	Prec@1 59.500 (55.190)	Prec@5 87.000 (83.934)
Epoch: [75][5270/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6218 (1.6718)	Prec@1 51.000 (55.188)	Prec@5 85.000 (83.932)
Epoch: [75][5280/9018]	Time 0.615 (0.623)	Data 0.009 (0.003)	Loss 1.6480 (1.6718)	Prec@1 54.000 (55.190)	Prec@5 89.000 (83.933)
Epoch: [75][5290/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.5763 (1.6720)	Prec@1 58.000 (55.187)	Prec@5 87.000 (83.931)
Epoch: [75][5300/9018]	Time 0.780 (0.623)	Data 0.001 (0.003)	Loss 1.8247 (1.6720)	Prec@1 51.500 (55.187)	Prec@5 79.500 (83.931)
Epoch: [75][5310/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.5810 (1.6720)	Prec@1 55.000 (55.186)	Prec@5 85.500 (83.933)
Epoch: [75][5320/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7340 (1.6719)	Prec@1 56.000 (55.188)	Prec@5 82.000 (83.933)
Epoch: [75][5330/9018]	Time 0.662 (0.623)	Data 0.001 (0.003)	Loss 1.7966 (1.6720)	Prec@1 52.500 (55.185)	Prec@5 81.000 (83.932)
Epoch: [75][5340/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.6155 (1.6719)	Prec@1 55.500 (55.190)	Prec@5 84.000 (83.933)
Epoch: [75][5350/9018]	Time 0.778 (0.623)	Data 0.001 (0.003)	Loss 1.5855 (1.6718)	Prec@1 56.000 (55.191)	Prec@5 86.000 (83.935)
Epoch: [75][5360/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.5731 (1.6718)	Prec@1 56.500 (55.190)	Prec@5 85.500 (83.934)
Epoch: [75][5370/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.4761 (1.6717)	Prec@1 62.000 (55.190)	Prec@5 86.000 (83.935)
Epoch: [75][5380/9018]	Time 0.606 (0.623)	Data 0.009 (0.003)	Loss 1.8735 (1.6716)	Prec@1 49.000 (55.189)	Prec@5 80.000 (83.937)
Epoch: [75][5390/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6208 (1.6717)	Prec@1 58.500 (55.187)	Prec@5 86.000 (83.934)
Epoch: [75][5400/9018]	Time 0.594 (0.623)	Data 0.015 (0.003)	Loss 1.7367 (1.6717)	Prec@1 57.000 (55.189)	Prec@5 82.500 (83.933)
Epoch: [75][5410/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.8175 (1.6717)	Prec@1 54.000 (55.191)	Prec@5 82.000 (83.931)
Epoch: [75][5420/9018]	Time 0.595 (0.623)	Data 0.008 (0.003)	Loss 1.6744 (1.6717)	Prec@1 56.500 (55.194)	Prec@5 83.500 (83.932)
Epoch: [75][5430/9018]	Time 0.603 (0.623)	Data 0.016 (0.003)	Loss 1.6866 (1.6717)	Prec@1 52.000 (55.195)	Prec@5 82.500 (83.931)
Epoch: [75][5440/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.8001 (1.6718)	Prec@1 50.500 (55.192)	Prec@5 83.500 (83.928)
Epoch: [75][5450/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.8617 (1.6718)	Prec@1 53.000 (55.191)	Prec@5 83.500 (83.930)
Epoch: [75][5460/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6106 (1.6718)	Prec@1 58.500 (55.191)	Prec@5 85.500 (83.930)
Epoch: [75][5470/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.5841 (1.6718)	Prec@1 57.000 (55.192)	Prec@5 85.000 (83.930)
Epoch: [75][5480/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6996 (1.6717)	Prec@1 57.000 (55.192)	Prec@5 82.000 (83.932)
Epoch: [75][5490/9018]	Time 0.609 (0.623)	Data 0.016 (0.003)	Loss 1.7405 (1.6717)	Prec@1 54.500 (55.193)	Prec@5 81.000 (83.932)
Epoch: [75][5500/9018]	Time 0.626 (0.623)	Data 0.006 (0.003)	Loss 1.7057 (1.6717)	Prec@1 55.500 (55.194)	Prec@5 81.500 (83.933)
Epoch: [75][5510/9018]	Time 0.600 (0.623)	Data 0.003 (0.003)	Loss 1.6998 (1.6718)	Prec@1 53.000 (55.191)	Prec@5 84.500 (83.934)
Epoch: [75][5520/9018]	Time 0.615 (0.623)	Data 0.016 (0.003)	Loss 1.4179 (1.6717)	Prec@1 61.500 (55.193)	Prec@5 90.500 (83.934)
Epoch: [75][5530/9018]	Time 0.602 (0.623)	Data 0.015 (0.003)	Loss 1.6807 (1.6717)	Prec@1 55.000 (55.193)	Prec@5 84.500 (83.934)
Epoch: [75][5540/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8850 (1.6718)	Prec@1 52.000 (55.191)	Prec@5 79.000 (83.934)
Epoch: [75][5550/9018]	Time 0.621 (0.623)	Data 0.017 (0.003)	Loss 1.5630 (1.6718)	Prec@1 59.000 (55.190)	Prec@5 86.500 (83.933)
Epoch: [75][5560/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.9412 (1.6718)	Prec@1 51.000 (55.189)	Prec@5 80.500 (83.933)
Epoch: [75][5570/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.6903 (1.6719)	Prec@1 53.500 (55.187)	Prec@5 84.000 (83.932)
Epoch: [75][5580/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8369 (1.6719)	Prec@1 51.000 (55.186)	Prec@5 81.500 (83.932)
Epoch: [75][5590/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6062 (1.6720)	Prec@1 58.500 (55.182)	Prec@5 81.000 (83.933)
Epoch: [75][5600/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.7120 (1.6720)	Prec@1 54.000 (55.180)	Prec@5 82.000 (83.932)
Epoch: [75][5610/9018]	Time 0.608 (0.623)	Data 0.007 (0.003)	Loss 1.6531 (1.6719)	Prec@1 54.500 (55.185)	Prec@5 82.500 (83.933)
Epoch: [75][5620/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7675 (1.6720)	Prec@1 55.500 (55.185)	Prec@5 80.500 (83.930)
Epoch: [75][5630/9018]	Time 0.736 (0.623)	Data 0.001 (0.003)	Loss 1.6833 (1.6720)	Prec@1 57.500 (55.183)	Prec@5 83.000 (83.929)
Epoch: [75][5640/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7723 (1.6720)	Prec@1 52.500 (55.185)	Prec@5 87.000 (83.931)
Epoch: [75][5650/9018]	Time 0.615 (0.623)	Data 0.012 (0.003)	Loss 1.7604 (1.6719)	Prec@1 50.000 (55.186)	Prec@5 83.000 (83.932)
Epoch: [75][5660/9018]	Time 0.608 (0.623)	Data 0.004 (0.003)	Loss 1.3503 (1.6717)	Prec@1 60.500 (55.189)	Prec@5 91.000 (83.937)
Epoch: [75][5670/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7016 (1.6718)	Prec@1 53.000 (55.189)	Prec@5 83.000 (83.937)
Epoch: [75][5680/9018]	Time 0.699 (0.623)	Data 0.001 (0.003)	Loss 1.4670 (1.6719)	Prec@1 59.500 (55.188)	Prec@5 87.000 (83.935)
Epoch: [75][5690/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.5263 (1.6719)	Prec@1 61.000 (55.190)	Prec@5 86.500 (83.935)
Epoch: [75][5700/9018]	Time 0.619 (0.623)	Data 0.015 (0.003)	Loss 1.7543 (1.6720)	Prec@1 56.000 (55.188)	Prec@5 83.000 (83.935)
Epoch: [75][5710/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6696 (1.6720)	Prec@1 54.000 (55.191)	Prec@5 85.500 (83.934)
Epoch: [75][5720/9018]	Time 0.628 (0.623)	Data 0.006 (0.003)	Loss 1.8762 (1.6720)	Prec@1 53.000 (55.192)	Prec@5 81.000 (83.934)
Epoch: [75][5730/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.7569 (1.6720)	Prec@1 53.000 (55.193)	Prec@5 82.500 (83.933)
Epoch: [75][5740/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.7503 (1.6720)	Prec@1 51.000 (55.192)	Prec@5 83.500 (83.934)
Epoch: [75][5750/9018]	Time 0.614 (0.623)	Data 0.014 (0.003)	Loss 1.6629 (1.6720)	Prec@1 56.000 (55.190)	Prec@5 84.500 (83.933)
Epoch: [75][5760/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8361 (1.6720)	Prec@1 52.500 (55.189)	Prec@5 79.500 (83.932)
Epoch: [75][5770/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.5002 (1.6721)	Prec@1 59.500 (55.188)	Prec@5 84.500 (83.932)
Epoch: [75][5780/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.7308 (1.6720)	Prec@1 48.000 (55.189)	Prec@5 87.500 (83.933)
Epoch: [75][5790/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6946 (1.6720)	Prec@1 55.000 (55.188)	Prec@5 83.000 (83.931)
Epoch: [75][5800/9018]	Time 0.617 (0.623)	Data 0.008 (0.003)	Loss 1.6386 (1.6719)	Prec@1 51.500 (55.191)	Prec@5 88.500 (83.934)
Epoch: [75][5810/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.6784 (1.6719)	Prec@1 55.500 (55.190)	Prec@5 82.000 (83.932)
Epoch: [75][5820/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.5275 (1.6720)	Prec@1 59.500 (55.189)	Prec@5 87.000 (83.930)
Epoch: [75][5830/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.7623 (1.6721)	Prec@1 52.000 (55.183)	Prec@5 82.000 (83.926)
Epoch: [75][5840/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6693 (1.6722)	Prec@1 57.500 (55.182)	Prec@5 85.500 (83.926)
Epoch: [75][5850/9018]	Time 0.644 (0.623)	Data 0.014 (0.003)	Loss 1.7774 (1.6722)	Prec@1 49.500 (55.181)	Prec@5 81.000 (83.925)
Epoch: [75][5860/9018]	Time 0.630 (0.623)	Data 0.013 (0.003)	Loss 1.5593 (1.6722)	Prec@1 57.000 (55.181)	Prec@5 83.500 (83.926)
Epoch: [75][5870/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7585 (1.6723)	Prec@1 51.500 (55.178)	Prec@5 83.000 (83.925)
Epoch: [75][5880/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8617 (1.6723)	Prec@1 52.000 (55.178)	Prec@5 77.500 (83.924)
Epoch: [75][5890/9018]	Time 0.619 (0.623)	Data 0.003 (0.003)	Loss 1.7437 (1.6722)	Prec@1 55.500 (55.179)	Prec@5 81.500 (83.926)
Epoch: [75][5900/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.5330 (1.6723)	Prec@1 61.000 (55.179)	Prec@5 84.500 (83.923)
Epoch: [75][5910/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.6652 (1.6723)	Prec@1 60.000 (55.180)	Prec@5 84.500 (83.924)
Epoch: [75][5920/9018]	Time 0.616 (0.623)	Data 0.012 (0.003)	Loss 1.7227 (1.6722)	Prec@1 54.000 (55.183)	Prec@5 83.000 (83.925)
Epoch: [75][5930/9018]	Time 0.636 (0.623)	Data 0.001 (0.003)	Loss 1.7722 (1.6722)	Prec@1 51.000 (55.179)	Prec@5 84.000 (83.925)
Epoch: [75][5940/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6485 (1.6722)	Prec@1 53.000 (55.179)	Prec@5 85.000 (83.924)
Epoch: [75][5950/9018]	Time 0.595 (0.623)	Data 0.016 (0.003)	Loss 1.8213 (1.6721)	Prec@1 56.500 (55.181)	Prec@5 85.000 (83.927)
Epoch: [75][5960/9018]	Time 0.734 (0.623)	Data 0.001 (0.003)	Loss 1.6558 (1.6721)	Prec@1 54.500 (55.182)	Prec@5 82.000 (83.926)
Epoch: [75][5970/9018]	Time 0.635 (0.623)	Data 0.016 (0.003)	Loss 1.6075 (1.6721)	Prec@1 60.000 (55.183)	Prec@5 84.500 (83.928)
Epoch: [75][5980/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.5261 (1.6722)	Prec@1 56.000 (55.182)	Prec@5 86.500 (83.928)
Epoch: [75][5990/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.6592 (1.6722)	Prec@1 57.500 (55.180)	Prec@5 85.500 (83.928)
Epoch: [75][6000/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.5064 (1.6722)	Prec@1 57.500 (55.180)	Prec@5 86.500 (83.929)
Epoch: [75][6010/9018]	Time 0.780 (0.623)	Data 0.001 (0.003)	Loss 1.8206 (1.6722)	Prec@1 55.500 (55.180)	Prec@5 82.500 (83.931)
Epoch: [75][6020/9018]	Time 0.635 (0.623)	Data 0.015 (0.003)	Loss 2.0513 (1.6722)	Prec@1 48.500 (55.177)	Prec@5 78.000 (83.931)
Epoch: [75][6030/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.4592 (1.6721)	Prec@1 55.500 (55.179)	Prec@5 86.000 (83.932)
Epoch: [75][6040/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6931 (1.6721)	Prec@1 54.000 (55.181)	Prec@5 85.500 (83.933)
Epoch: [75][6050/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.7598 (1.6722)	Prec@1 50.000 (55.177)	Prec@5 84.500 (83.930)
Epoch: [75][6060/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5921 (1.6723)	Prec@1 60.500 (55.176)	Prec@5 83.500 (83.929)
Epoch: [75][6070/9018]	Time 0.603 (0.623)	Data 0.017 (0.003)	Loss 1.7140 (1.6723)	Prec@1 51.500 (55.176)	Prec@5 84.000 (83.929)
Epoch: [75][6080/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6632 (1.6723)	Prec@1 57.500 (55.175)	Prec@5 80.500 (83.927)
Epoch: [75][6090/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.4251 (1.6724)	Prec@1 62.000 (55.175)	Prec@5 88.500 (83.927)
Epoch: [75][6100/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.6827 (1.6723)	Prec@1 57.000 (55.177)	Prec@5 85.500 (83.929)
Epoch: [75][6110/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.8379 (1.6724)	Prec@1 51.500 (55.173)	Prec@5 81.500 (83.928)
Epoch: [75][6120/9018]	Time 0.607 (0.623)	Data 0.015 (0.003)	Loss 1.8779 (1.6726)	Prec@1 49.500 (55.170)	Prec@5 78.000 (83.925)
Epoch: [75][6130/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.6310 (1.6726)	Prec@1 54.500 (55.168)	Prec@5 84.000 (83.924)
Epoch: [75][6140/9018]	Time 0.619 (0.623)	Data 0.006 (0.003)	Loss 1.6439 (1.6725)	Prec@1 60.000 (55.174)	Prec@5 85.000 (83.926)
Epoch: [75][6150/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6424 (1.6724)	Prec@1 58.500 (55.174)	Prec@5 80.000 (83.926)
Epoch: [75][6160/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6088 (1.6725)	Prec@1 51.000 (55.171)	Prec@5 86.500 (83.928)
Epoch: [75][6170/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7243 (1.6725)	Prec@1 55.500 (55.171)	Prec@5 81.000 (83.928)
Epoch: [75][6180/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.6858 (1.6725)	Prec@1 56.000 (55.172)	Prec@5 81.500 (83.927)
Epoch: [75][6190/9018]	Time 0.622 (0.623)	Data 0.011 (0.003)	Loss 1.8108 (1.6726)	Prec@1 51.000 (55.170)	Prec@5 81.500 (83.926)
Epoch: [75][6200/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.4955 (1.6726)	Prec@1 58.000 (55.169)	Prec@5 84.500 (83.924)
Epoch: [75][6210/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7572 (1.6726)	Prec@1 52.000 (55.168)	Prec@5 82.000 (83.926)
Epoch: [75][6220/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.7606 (1.6725)	Prec@1 53.000 (55.170)	Prec@5 83.000 (83.928)
Epoch: [75][6230/9018]	Time 0.614 (0.623)	Data 0.016 (0.003)	Loss 1.8360 (1.6727)	Prec@1 52.000 (55.166)	Prec@5 82.500 (83.925)
Epoch: [75][6240/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8441 (1.6727)	Prec@1 51.000 (55.165)	Prec@5 81.000 (83.925)
Epoch: [75][6250/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.8342 (1.6728)	Prec@1 50.500 (55.163)	Prec@5 84.000 (83.924)
Epoch: [75][6260/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.6791 (1.6728)	Prec@1 58.500 (55.164)	Prec@5 85.000 (83.927)
Epoch: [75][6270/9018]	Time 0.595 (0.623)	Data 0.004 (0.003)	Loss 1.8198 (1.6728)	Prec@1 50.500 (55.163)	Prec@5 82.000 (83.927)
Epoch: [75][6280/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7385 (1.6727)	Prec@1 52.000 (55.165)	Prec@5 83.000 (83.927)
Epoch: [75][6290/9018]	Time 0.778 (0.623)	Data 0.001 (0.003)	Loss 1.5658 (1.6727)	Prec@1 56.000 (55.165)	Prec@5 87.000 (83.928)
Epoch: [75][6300/9018]	Time 0.589 (0.623)	Data 0.001 (0.003)	Loss 1.6907 (1.6728)	Prec@1 50.500 (55.164)	Prec@5 84.500 (83.927)
Epoch: [75][6310/9018]	Time 0.615 (0.623)	Data 0.013 (0.003)	Loss 1.5268 (1.6728)	Prec@1 59.500 (55.164)	Prec@5 87.500 (83.927)
Epoch: [75][6320/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.7056 (1.6728)	Prec@1 49.500 (55.162)	Prec@5 85.500 (83.927)
Epoch: [75][6330/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.8040 (1.6729)	Prec@1 58.000 (55.162)	Prec@5 81.500 (83.925)
Epoch: [75][6340/9018]	Time 0.727 (0.623)	Data 0.001 (0.003)	Loss 1.7193 (1.6729)	Prec@1 55.500 (55.164)	Prec@5 83.500 (83.924)
Epoch: [75][6350/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6358 (1.6730)	Prec@1 57.000 (55.164)	Prec@5 82.500 (83.922)
Epoch: [75][6360/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.4988 (1.6730)	Prec@1 57.500 (55.164)	Prec@5 89.000 (83.921)
Epoch: [75][6370/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.6593 (1.6729)	Prec@1 54.000 (55.163)	Prec@5 83.000 (83.922)
Epoch: [75][6380/9018]	Time 0.643 (0.623)	Data 0.001 (0.003)	Loss 1.6753 (1.6730)	Prec@1 54.500 (55.163)	Prec@5 82.000 (83.920)
Epoch: [75][6390/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6342 (1.6729)	Prec@1 56.000 (55.165)	Prec@5 85.500 (83.922)
Epoch: [75][6400/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7947 (1.6727)	Prec@1 55.500 (55.168)	Prec@5 79.500 (83.924)
Epoch: [75][6410/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7153 (1.6728)	Prec@1 50.500 (55.167)	Prec@5 85.500 (83.924)
Epoch: [75][6420/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.5529 (1.6727)	Prec@1 56.000 (55.169)	Prec@5 86.000 (83.925)
Epoch: [75][6430/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7021 (1.6726)	Prec@1 58.000 (55.173)	Prec@5 83.000 (83.925)
Epoch: [75][6440/9018]	Time 0.646 (0.623)	Data 0.002 (0.003)	Loss 1.7265 (1.6727)	Prec@1 55.500 (55.171)	Prec@5 82.000 (83.926)
Epoch: [75][6450/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.4407 (1.6727)	Prec@1 60.500 (55.171)	Prec@5 87.500 (83.928)
Epoch: [75][6460/9018]	Time 0.607 (0.623)	Data 0.010 (0.003)	Loss 1.8072 (1.6727)	Prec@1 53.500 (55.170)	Prec@5 79.000 (83.926)
Epoch: [75][6470/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.5797 (1.6728)	Prec@1 55.000 (55.168)	Prec@5 86.000 (83.925)
Epoch: [75][6480/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.8932 (1.6729)	Prec@1 46.000 (55.168)	Prec@5 82.000 (83.925)
Epoch: [75][6490/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.4811 (1.6727)	Prec@1 58.000 (55.169)	Prec@5 86.000 (83.927)
Epoch: [75][6500/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7236 (1.6728)	Prec@1 51.000 (55.168)	Prec@5 84.500 (83.926)
Epoch: [75][6510/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7488 (1.6728)	Prec@1 52.000 (55.165)	Prec@5 84.500 (83.925)
Epoch: [75][6520/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.7363 (1.6728)	Prec@1 53.000 (55.165)	Prec@5 81.500 (83.925)
Epoch: [75][6530/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.5697 (1.6728)	Prec@1 55.000 (55.165)	Prec@5 86.000 (83.926)
Epoch: [75][6540/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.6481 (1.6728)	Prec@1 55.000 (55.165)	Prec@5 83.500 (83.926)
Epoch: [75][6550/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6812 (1.6728)	Prec@1 47.000 (55.165)	Prec@5 86.500 (83.926)
Epoch: [75][6560/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.5121 (1.6726)	Prec@1 56.500 (55.169)	Prec@5 85.500 (83.928)
Epoch: [75][6570/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.5899 (1.6726)	Prec@1 54.500 (55.169)	Prec@5 83.000 (83.927)
Epoch: [75][6580/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.7115 (1.6727)	Prec@1 52.500 (55.166)	Prec@5 85.500 (83.926)
Epoch: [75][6590/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7010 (1.6727)	Prec@1 56.500 (55.166)	Prec@5 82.500 (83.926)
Epoch: [75][6600/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.3616 (1.6725)	Prec@1 63.500 (55.171)	Prec@5 89.500 (83.930)
Epoch: [75][6610/9018]	Time 0.603 (0.623)	Data 0.016 (0.003)	Loss 1.6605 (1.6725)	Prec@1 56.500 (55.171)	Prec@5 80.000 (83.929)
Epoch: [75][6620/9018]	Time 0.793 (0.623)	Data 0.001 (0.003)	Loss 1.7590 (1.6725)	Prec@1 51.500 (55.170)	Prec@5 84.000 (83.930)
Epoch: [75][6630/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7470 (1.6725)	Prec@1 57.500 (55.171)	Prec@5 83.500 (83.930)
Epoch: [75][6640/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6189 (1.6725)	Prec@1 59.000 (55.172)	Prec@5 84.500 (83.930)
Epoch: [75][6650/9018]	Time 0.620 (0.623)	Data 0.016 (0.003)	Loss 1.7586 (1.6726)	Prec@1 54.500 (55.170)	Prec@5 78.500 (83.928)
Epoch: [75][6660/9018]	Time 0.637 (0.623)	Data 0.018 (0.003)	Loss 1.7169 (1.6725)	Prec@1 52.500 (55.172)	Prec@5 83.500 (83.929)
Epoch: [75][6670/9018]	Time 0.759 (0.623)	Data 0.012 (0.003)	Loss 1.6493 (1.6725)	Prec@1 55.500 (55.173)	Prec@5 87.000 (83.932)
Epoch: [75][6680/9018]	Time 0.607 (0.623)	Data 0.002 (0.003)	Loss 1.7092 (1.6725)	Prec@1 57.500 (55.173)	Prec@5 78.500 (83.931)
Epoch: [75][6690/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.7940 (1.6726)	Prec@1 56.000 (55.174)	Prec@5 81.000 (83.930)
Epoch: [75][6700/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7051 (1.6726)	Prec@1 50.500 (55.176)	Prec@5 83.500 (83.929)
Epoch: [75][6710/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.7290 (1.6725)	Prec@1 53.500 (55.174)	Prec@5 84.000 (83.930)
Epoch: [75][6720/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8745 (1.6726)	Prec@1 49.000 (55.171)	Prec@5 79.000 (83.928)
Epoch: [75][6730/9018]	Time 0.614 (0.623)	Data 0.005 (0.003)	Loss 1.6451 (1.6726)	Prec@1 53.000 (55.172)	Prec@5 83.500 (83.931)
Epoch: [75][6740/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.6904 (1.6726)	Prec@1 56.000 (55.171)	Prec@5 82.000 (83.929)
Epoch: [75][6750/9018]	Time 0.619 (0.623)	Data 0.016 (0.003)	Loss 1.6725 (1.6726)	Prec@1 51.500 (55.170)	Prec@5 87.500 (83.930)
Epoch: [75][6760/9018]	Time 0.623 (0.623)	Data 0.002 (0.003)	Loss 1.8024 (1.6728)	Prec@1 52.000 (55.166)	Prec@5 82.000 (83.929)
Epoch: [75][6770/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8428 (1.6728)	Prec@1 51.500 (55.164)	Prec@5 80.500 (83.928)
Epoch: [75][6780/9018]	Time 0.630 (0.623)	Data 0.009 (0.003)	Loss 1.8369 (1.6729)	Prec@1 55.000 (55.162)	Prec@5 78.000 (83.926)
Epoch: [75][6790/9018]	Time 0.648 (0.623)	Data 0.013 (0.003)	Loss 1.5371 (1.6728)	Prec@1 54.000 (55.163)	Prec@5 86.000 (83.927)
Epoch: [75][6800/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7105 (1.6728)	Prec@1 60.000 (55.167)	Prec@5 82.500 (83.927)
Epoch: [75][6810/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.5550 (1.6727)	Prec@1 54.500 (55.167)	Prec@5 85.500 (83.928)
Epoch: [75][6820/9018]	Time 0.632 (0.623)	Data 0.014 (0.003)	Loss 1.6204 (1.6727)	Prec@1 55.000 (55.166)	Prec@5 85.500 (83.928)
Epoch: [75][6830/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6231 (1.6727)	Prec@1 54.000 (55.165)	Prec@5 85.500 (83.928)
Epoch: [75][6840/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7630 (1.6727)	Prec@1 50.500 (55.166)	Prec@5 84.500 (83.928)
Epoch: [75][6850/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.8043 (1.6729)	Prec@1 53.500 (55.164)	Prec@5 82.000 (83.926)
Epoch: [75][6860/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.7503 (1.6729)	Prec@1 53.500 (55.162)	Prec@5 85.000 (83.926)
Epoch: [75][6870/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.9203 (1.6730)	Prec@1 50.500 (55.160)	Prec@5 77.500 (83.924)
Epoch: [75][6880/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.8423 (1.6732)	Prec@1 49.500 (55.156)	Prec@5 82.500 (83.922)
Epoch: [75][6890/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.5739 (1.6732)	Prec@1 61.500 (55.156)	Prec@5 87.000 (83.921)
Epoch: [75][6900/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.5485 (1.6732)	Prec@1 55.500 (55.155)	Prec@5 85.500 (83.922)
Epoch: [75][6910/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.5310 (1.6731)	Prec@1 61.000 (55.155)	Prec@5 86.000 (83.923)
Epoch: [75][6920/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7598 (1.6732)	Prec@1 49.500 (55.153)	Prec@5 82.000 (83.923)
Epoch: [75][6930/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7329 (1.6732)	Prec@1 54.000 (55.152)	Prec@5 82.500 (83.923)
Epoch: [75][6940/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.5841 (1.6733)	Prec@1 59.500 (55.152)	Prec@5 82.500 (83.921)
Epoch: [75][6950/9018]	Time 0.740 (0.623)	Data 0.015 (0.003)	Loss 1.8136 (1.6733)	Prec@1 52.500 (55.154)	Prec@5 80.000 (83.920)
Epoch: [75][6960/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.6662 (1.6733)	Prec@1 55.000 (55.155)	Prec@5 83.000 (83.920)
Epoch: [75][6970/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7282 (1.6733)	Prec@1 54.000 (55.154)	Prec@5 85.000 (83.921)
Epoch: [75][6980/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.4193 (1.6732)	Prec@1 59.000 (55.153)	Prec@5 88.500 (83.922)
Epoch: [75][6990/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.6766 (1.6732)	Prec@1 54.500 (55.153)	Prec@5 82.000 (83.921)
Epoch: [75][7000/9018]	Time 0.719 (0.623)	Data 0.001 (0.003)	Loss 1.5504 (1.6732)	Prec@1 59.500 (55.153)	Prec@5 87.500 (83.922)
Epoch: [75][7010/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8091 (1.6733)	Prec@1 53.500 (55.153)	Prec@5 82.000 (83.921)
Epoch: [75][7020/9018]	Time 0.607 (0.623)	Data 0.010 (0.003)	Loss 1.9941 (1.6733)	Prec@1 44.500 (55.152)	Prec@5 80.500 (83.922)
Epoch: [75][7030/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8440 (1.6734)	Prec@1 54.500 (55.150)	Prec@5 82.000 (83.920)
Epoch: [75][7040/9018]	Time 0.620 (0.623)	Data 0.002 (0.003)	Loss 1.7923 (1.6734)	Prec@1 52.000 (55.149)	Prec@5 82.000 (83.921)
Epoch: [75][7050/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.8126 (1.6734)	Prec@1 55.000 (55.149)	Prec@5 82.000 (83.920)
Epoch: [75][7060/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.6097 (1.6734)	Prec@1 60.500 (55.148)	Prec@5 82.000 (83.918)
Epoch: [75][7070/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6815 (1.6735)	Prec@1 57.000 (55.147)	Prec@5 85.500 (83.917)
Epoch: [75][7080/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7245 (1.6734)	Prec@1 53.500 (55.149)	Prec@5 83.000 (83.918)
Epoch: [75][7090/9018]	Time 0.613 (0.623)	Data 0.015 (0.003)	Loss 1.8336 (1.6735)	Prec@1 54.000 (55.147)	Prec@5 80.500 (83.916)
Epoch: [75][7100/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.7744 (1.6734)	Prec@1 56.500 (55.148)	Prec@5 79.500 (83.916)
Epoch: [75][7110/9018]	Time 0.607 (0.623)	Data 0.011 (0.003)	Loss 1.7396 (1.6734)	Prec@1 53.000 (55.148)	Prec@5 84.500 (83.917)
Epoch: [75][7120/9018]	Time 0.601 (0.623)	Data 0.016 (0.003)	Loss 2.0032 (1.6735)	Prec@1 44.500 (55.146)	Prec@5 76.500 (83.916)
Epoch: [75][7130/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7153 (1.6735)	Prec@1 54.000 (55.145)	Prec@5 78.500 (83.914)
Epoch: [75][7140/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.7232 (1.6735)	Prec@1 56.500 (55.145)	Prec@5 85.000 (83.915)
Epoch: [75][7150/9018]	Time 0.624 (0.623)	Data 0.014 (0.003)	Loss 1.9405 (1.6735)	Prec@1 54.000 (55.145)	Prec@5 80.000 (83.915)
Epoch: [75][7160/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.8059 (1.6735)	Prec@1 51.000 (55.145)	Prec@5 81.500 (83.913)
Epoch: [75][7170/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.4518 (1.6736)	Prec@1 61.500 (55.144)	Prec@5 87.000 (83.911)
Epoch: [75][7180/9018]	Time 0.625 (0.623)	Data 0.017 (0.003)	Loss 1.6859 (1.6735)	Prec@1 53.000 (55.146)	Prec@5 84.500 (83.912)
Epoch: [75][7190/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6500 (1.6734)	Prec@1 55.000 (55.145)	Prec@5 84.500 (83.913)
Epoch: [75][7200/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.8881 (1.6735)	Prec@1 54.500 (55.143)	Prec@5 81.000 (83.912)
Epoch: [75][7210/9018]	Time 0.642 (0.623)	Data 0.009 (0.003)	Loss 1.5825 (1.6735)	Prec@1 54.000 (55.145)	Prec@5 83.000 (83.912)
Epoch: [75][7220/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.6991 (1.6736)	Prec@1 56.500 (55.144)	Prec@5 85.000 (83.911)
Epoch: [75][7230/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.6460 (1.6736)	Prec@1 54.500 (55.144)	Prec@5 83.500 (83.911)
Epoch: [75][7240/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6855 (1.6736)	Prec@1 55.500 (55.145)	Prec@5 82.500 (83.911)
Epoch: [75][7250/9018]	Time 0.620 (0.623)	Data 0.004 (0.003)	Loss 1.7823 (1.6736)	Prec@1 52.000 (55.142)	Prec@5 80.500 (83.911)
Epoch: [75][7260/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6430 (1.6736)	Prec@1 53.500 (55.141)	Prec@5 84.000 (83.909)
Epoch: [75][7270/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.8280 (1.6736)	Prec@1 50.500 (55.142)	Prec@5 82.500 (83.909)
Epoch: [75][7280/9018]	Time 0.745 (0.623)	Data 0.001 (0.003)	Loss 1.5320 (1.6737)	Prec@1 53.500 (55.139)	Prec@5 86.000 (83.909)
Epoch: [75][7290/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.6493 (1.6737)	Prec@1 53.000 (55.137)	Prec@5 85.000 (83.908)
Epoch: [75][7300/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.7241 (1.6738)	Prec@1 55.000 (55.137)	Prec@5 77.500 (83.906)
Epoch: [75][7310/9018]	Time 0.631 (0.623)	Data 0.002 (0.003)	Loss 1.6032 (1.6738)	Prec@1 59.500 (55.137)	Prec@5 86.500 (83.907)
Epoch: [75][7320/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.5734 (1.6738)	Prec@1 57.500 (55.138)	Prec@5 86.500 (83.905)
Epoch: [75][7330/9018]	Time 0.731 (0.623)	Data 0.001 (0.003)	Loss 1.6799 (1.6739)	Prec@1 54.000 (55.136)	Prec@5 82.500 (83.903)
Epoch: [75][7340/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7034 (1.6739)	Prec@1 57.000 (55.135)	Prec@5 83.500 (83.905)
Epoch: [75][7350/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.6580 (1.6739)	Prec@1 57.000 (55.134)	Prec@5 84.000 (83.904)
Epoch: [75][7360/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.7467 (1.6740)	Prec@1 55.500 (55.132)	Prec@5 82.000 (83.902)
Epoch: [75][7370/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.6825 (1.6741)	Prec@1 54.500 (55.130)	Prec@5 84.500 (83.902)
Epoch: [75][7380/9018]	Time 0.624 (0.623)	Data 0.002 (0.003)	Loss 1.6027 (1.6741)	Prec@1 58.000 (55.130)	Prec@5 85.500 (83.902)
Epoch: [75][7390/9018]	Time 0.642 (0.623)	Data 0.011 (0.003)	Loss 1.6748 (1.6742)	Prec@1 54.500 (55.128)	Prec@5 81.000 (83.901)
Epoch: [75][7400/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7645 (1.6742)	Prec@1 49.500 (55.126)	Prec@5 83.000 (83.901)
Epoch: [75][7410/9018]	Time 0.634 (0.623)	Data 0.004 (0.003)	Loss 1.6356 (1.6742)	Prec@1 56.000 (55.126)	Prec@5 84.500 (83.900)
Epoch: [75][7420/9018]	Time 0.648 (0.623)	Data 0.006 (0.003)	Loss 1.8690 (1.6743)	Prec@1 51.500 (55.125)	Prec@5 80.000 (83.899)
Epoch: [75][7430/9018]	Time 0.598 (0.623)	Data 0.015 (0.003)	Loss 1.8007 (1.6743)	Prec@1 55.500 (55.126)	Prec@5 80.500 (83.898)
Epoch: [75][7440/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.5887 (1.6743)	Prec@1 55.500 (55.124)	Prec@5 87.000 (83.899)
Epoch: [75][7450/9018]	Time 0.632 (0.623)	Data 0.017 (0.003)	Loss 1.5486 (1.6743)	Prec@1 54.000 (55.123)	Prec@5 86.500 (83.899)
Epoch: [75][7460/9018]	Time 0.601 (0.623)	Data 0.015 (0.003)	Loss 1.6159 (1.6743)	Prec@1 56.000 (55.125)	Prec@5 88.000 (83.900)
Epoch: [75][7470/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7547 (1.6743)	Prec@1 49.500 (55.122)	Prec@5 83.000 (83.898)
Epoch: [75][7480/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6602 (1.6743)	Prec@1 54.500 (55.123)	Prec@5 84.000 (83.900)
Epoch: [75][7490/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6995 (1.6743)	Prec@1 55.000 (55.125)	Prec@5 83.000 (83.899)
Epoch: [75][7500/9018]	Time 0.621 (0.623)	Data 0.003 (0.003)	Loss 1.8902 (1.6743)	Prec@1 50.000 (55.124)	Prec@5 78.000 (83.899)
Epoch: [75][7510/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.8589 (1.6743)	Prec@1 54.500 (55.122)	Prec@5 80.500 (83.899)
Epoch: [75][7520/9018]	Time 0.625 (0.623)	Data 0.005 (0.003)	Loss 1.6569 (1.6743)	Prec@1 56.000 (55.122)	Prec@5 86.000 (83.899)
Epoch: [75][7530/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 2.0049 (1.6744)	Prec@1 49.000 (55.119)	Prec@5 77.000 (83.898)
Epoch: [75][7540/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8547 (1.6745)	Prec@1 51.500 (55.116)	Prec@5 80.000 (83.895)
Epoch: [75][7550/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.4989 (1.6745)	Prec@1 62.000 (55.118)	Prec@5 84.500 (83.895)
Epoch: [75][7560/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.8263 (1.6745)	Prec@1 51.500 (55.118)	Prec@5 83.000 (83.896)
Epoch: [75][7570/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5721 (1.6745)	Prec@1 57.000 (55.118)	Prec@5 87.500 (83.896)
Epoch: [75][7580/9018]	Time 0.618 (0.623)	Data 0.016 (0.003)	Loss 1.6599 (1.6746)	Prec@1 58.000 (55.117)	Prec@5 84.000 (83.895)
Epoch: [75][7590/9018]	Time 0.609 (0.623)	Data 0.014 (0.003)	Loss 1.7709 (1.6746)	Prec@1 51.500 (55.116)	Prec@5 82.500 (83.895)
Epoch: [75][7600/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7919 (1.6747)	Prec@1 51.000 (55.113)	Prec@5 83.000 (83.894)
Epoch: [75][7610/9018]	Time 0.783 (0.623)	Data 0.001 (0.003)	Loss 1.5341 (1.6748)	Prec@1 56.000 (55.111)	Prec@5 86.000 (83.893)
Epoch: [75][7620/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8063 (1.6748)	Prec@1 58.000 (55.109)	Prec@5 80.000 (83.891)
Epoch: [75][7630/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.6516 (1.6748)	Prec@1 59.000 (55.110)	Prec@5 83.500 (83.890)
Epoch: [75][7640/9018]	Time 0.617 (0.623)	Data 0.017 (0.003)	Loss 1.6948 (1.6749)	Prec@1 58.000 (55.111)	Prec@5 83.500 (83.888)
Epoch: [75][7650/9018]	Time 0.629 (0.623)	Data 0.016 (0.003)	Loss 1.7500 (1.6749)	Prec@1 52.500 (55.111)	Prec@5 81.000 (83.889)
Epoch: [75][7660/9018]	Time 0.738 (0.623)	Data 0.001 (0.003)	Loss 1.9045 (1.6749)	Prec@1 48.500 (55.109)	Prec@5 80.000 (83.888)
Epoch: [75][7670/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.5967 (1.6749)	Prec@1 58.000 (55.111)	Prec@5 84.000 (83.888)
Epoch: [75][7680/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.5948 (1.6749)	Prec@1 55.000 (55.110)	Prec@5 86.500 (83.890)
Epoch: [75][7690/9018]	Time 0.634 (0.623)	Data 0.008 (0.003)	Loss 1.6568 (1.6748)	Prec@1 57.000 (55.111)	Prec@5 86.000 (83.891)
Epoch: [75][7700/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.6113 (1.6748)	Prec@1 54.500 (55.110)	Prec@5 84.500 (83.892)
Epoch: [75][7710/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.6625 (1.6749)	Prec@1 56.500 (55.109)	Prec@5 85.500 (83.891)
Epoch: [75][7720/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.8757 (1.6749)	Prec@1 56.000 (55.107)	Prec@5 82.000 (83.890)
Epoch: [75][7730/9018]	Time 0.648 (0.623)	Data 0.001 (0.003)	Loss 1.7454 (1.6749)	Prec@1 52.500 (55.107)	Prec@5 84.000 (83.890)
Epoch: [75][7740/9018]	Time 0.617 (0.623)	Data 0.016 (0.003)	Loss 1.7544 (1.6749)	Prec@1 56.000 (55.105)	Prec@5 84.500 (83.891)
Epoch: [75][7750/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7212 (1.6749)	Prec@1 57.000 (55.106)	Prec@5 84.500 (83.891)
Epoch: [75][7760/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.5882 (1.6748)	Prec@1 57.500 (55.109)	Prec@5 86.500 (83.892)
Epoch: [75][7770/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.5867 (1.6748)	Prec@1 53.500 (55.108)	Prec@5 85.500 (83.893)
Epoch: [75][7780/9018]	Time 0.642 (0.623)	Data 0.012 (0.003)	Loss 1.8862 (1.6748)	Prec@1 51.000 (55.108)	Prec@5 79.000 (83.893)
Epoch: [75][7790/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.7683 (1.6749)	Prec@1 47.500 (55.106)	Prec@5 85.500 (83.892)
Epoch: [75][7800/9018]	Time 0.642 (0.623)	Data 0.001 (0.003)	Loss 1.7293 (1.6749)	Prec@1 52.500 (55.105)	Prec@5 83.500 (83.890)
Epoch: [75][7810/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6842 (1.6750)	Prec@1 58.000 (55.105)	Prec@5 84.000 (83.888)
Epoch: [75][7820/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.3822 (1.6750)	Prec@1 61.000 (55.104)	Prec@5 88.500 (83.889)
Epoch: [75][7830/9018]	Time 0.614 (0.623)	Data 0.001 (0.003)	Loss 1.7128 (1.6750)	Prec@1 53.500 (55.104)	Prec@5 83.500 (83.888)
Epoch: [75][7840/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.8723 (1.6751)	Prec@1 54.500 (55.101)	Prec@5 78.000 (83.885)
Epoch: [75][7850/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6474 (1.6752)	Prec@1 57.500 (55.101)	Prec@5 84.500 (83.884)
Epoch: [75][7860/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6629 (1.6753)	Prec@1 56.000 (55.100)	Prec@5 86.500 (83.883)
Epoch: [75][7870/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.5050 (1.6753)	Prec@1 58.500 (55.099)	Prec@5 86.500 (83.883)
Epoch: [75][7880/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7699 (1.6753)	Prec@1 55.000 (55.101)	Prec@5 83.000 (83.881)
Epoch: [75][7890/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7644 (1.6754)	Prec@1 55.500 (55.099)	Prec@5 79.500 (83.879)
Epoch: [75][7900/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.5555 (1.6755)	Prec@1 58.500 (55.099)	Prec@5 83.000 (83.878)
Epoch: [75][7910/9018]	Time 0.588 (0.623)	Data 0.001 (0.003)	Loss 1.5804 (1.6755)	Prec@1 62.000 (55.099)	Prec@5 82.000 (83.877)
Epoch: [75][7920/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.6251 (1.6755)	Prec@1 54.000 (55.099)	Prec@5 82.500 (83.878)
Epoch: [75][7930/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.8227 (1.6755)	Prec@1 52.500 (55.099)	Prec@5 81.000 (83.877)
Epoch: [75][7940/9018]	Time 0.734 (0.623)	Data 0.001 (0.003)	Loss 1.6746 (1.6754)	Prec@1 54.000 (55.100)	Prec@5 81.000 (83.877)
Epoch: [75][7950/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.4670 (1.6754)	Prec@1 59.500 (55.100)	Prec@5 88.500 (83.877)
Epoch: [75][7960/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.5344 (1.6753)	Prec@1 58.000 (55.100)	Prec@5 84.500 (83.879)
Epoch: [75][7970/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.8498 (1.6754)	Prec@1 52.500 (55.098)	Prec@5 78.500 (83.877)
Epoch: [75][7980/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.5374 (1.6753)	Prec@1 56.000 (55.101)	Prec@5 87.000 (83.878)
Epoch: [75][7990/9018]	Time 0.696 (0.623)	Data 0.001 (0.003)	Loss 1.8224 (1.6754)	Prec@1 54.000 (55.099)	Prec@5 80.000 (83.878)
Epoch: [75][8000/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6202 (1.6754)	Prec@1 55.500 (55.099)	Prec@5 86.500 (83.879)
Epoch: [75][8010/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.7991 (1.6755)	Prec@1 49.500 (55.097)	Prec@5 82.000 (83.878)
Epoch: [75][8020/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8050 (1.6755)	Prec@1 46.500 (55.095)	Prec@5 83.500 (83.879)
Epoch: [75][8030/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.5143 (1.6755)	Prec@1 56.500 (55.095)	Prec@5 87.000 (83.878)
Epoch: [75][8040/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7362 (1.6756)	Prec@1 52.500 (55.095)	Prec@5 84.500 (83.877)
Epoch: [75][8050/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8002 (1.6756)	Prec@1 54.500 (55.096)	Prec@5 81.000 (83.876)
Epoch: [75][8060/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6050 (1.6757)	Prec@1 56.000 (55.095)	Prec@5 82.500 (83.874)
Epoch: [75][8070/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6829 (1.6757)	Prec@1 52.000 (55.096)	Prec@5 81.000 (83.873)
Epoch: [75][8080/9018]	Time 0.628 (0.623)	Data 0.001 (0.003)	Loss 1.8709 (1.6757)	Prec@1 52.500 (55.096)	Prec@5 81.500 (83.873)
Epoch: [75][8090/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7386 (1.6757)	Prec@1 55.000 (55.095)	Prec@5 83.000 (83.874)
Epoch: [75][8100/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7298 (1.6758)	Prec@1 51.000 (55.094)	Prec@5 82.000 (83.873)
Epoch: [75][8110/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.6993 (1.6758)	Prec@1 56.000 (55.094)	Prec@5 84.500 (83.875)
Epoch: [75][8120/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.8578 (1.6758)	Prec@1 51.500 (55.093)	Prec@5 80.500 (83.874)
Epoch: [75][8130/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.5548 (1.6757)	Prec@1 60.500 (55.096)	Prec@5 83.000 (83.875)
Epoch: [75][8140/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.9240 (1.6757)	Prec@1 51.000 (55.096)	Prec@5 79.500 (83.876)
Epoch: [75][8150/9018]	Time 0.635 (0.623)	Data 0.001 (0.003)	Loss 1.7507 (1.6756)	Prec@1 49.000 (55.095)	Prec@5 84.500 (83.878)
Epoch: [75][8160/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.6983 (1.6757)	Prec@1 57.500 (55.094)	Prec@5 82.000 (83.878)
Epoch: [75][8170/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.6697 (1.6757)	Prec@1 51.000 (55.091)	Prec@5 85.500 (83.877)
Epoch: [75][8180/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7123 (1.6758)	Prec@1 56.000 (55.090)	Prec@5 83.500 (83.877)
Epoch: [75][8190/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.5494 (1.6758)	Prec@1 55.500 (55.091)	Prec@5 84.500 (83.877)
Epoch: [75][8200/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.5783 (1.6758)	Prec@1 56.000 (55.089)	Prec@5 88.000 (83.876)
Epoch: [75][8210/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 2.0071 (1.6759)	Prec@1 46.500 (55.089)	Prec@5 78.500 (83.875)
Epoch: [75][8220/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6614 (1.6760)	Prec@1 58.000 (55.087)	Prec@5 83.000 (83.875)
Epoch: [75][8230/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.7749 (1.6760)	Prec@1 55.500 (55.086)	Prec@5 83.500 (83.875)
Epoch: [75][8240/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.7336 (1.6760)	Prec@1 54.000 (55.086)	Prec@5 81.500 (83.875)
Epoch: [75][8250/9018]	Time 0.626 (0.623)	Data 0.002 (0.003)	Loss 1.5726 (1.6759)	Prec@1 56.500 (55.087)	Prec@5 86.000 (83.876)
Epoch: [75][8260/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7902 (1.6760)	Prec@1 52.000 (55.086)	Prec@5 84.000 (83.874)
Epoch: [75][8270/9018]	Time 0.735 (0.623)	Data 0.001 (0.003)	Loss 1.7862 (1.6760)	Prec@1 58.000 (55.088)	Prec@5 77.500 (83.876)
Epoch: [75][8280/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.5774 (1.6760)	Prec@1 59.500 (55.086)	Prec@5 87.500 (83.877)
Epoch: [75][8290/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.6749 (1.6760)	Prec@1 58.500 (55.086)	Prec@5 80.000 (83.877)
Epoch: [75][8300/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.4674 (1.6760)	Prec@1 59.500 (55.088)	Prec@5 87.000 (83.878)
Epoch: [75][8310/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.7518 (1.6760)	Prec@1 58.000 (55.086)	Prec@5 82.500 (83.878)
Epoch: [75][8320/9018]	Time 0.726 (0.623)	Data 0.001 (0.003)	Loss 1.5687 (1.6759)	Prec@1 58.500 (55.087)	Prec@5 88.000 (83.881)
Epoch: [75][8330/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.5409 (1.6760)	Prec@1 59.000 (55.087)	Prec@5 88.000 (83.881)
Epoch: [75][8340/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.5652 (1.6759)	Prec@1 57.000 (55.089)	Prec@5 84.000 (83.882)
Epoch: [75][8350/9018]	Time 0.590 (0.623)	Data 0.001 (0.003)	Loss 1.5057 (1.6759)	Prec@1 53.500 (55.087)	Prec@5 86.500 (83.882)
Epoch: [75][8360/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.6213 (1.6759)	Prec@1 56.000 (55.086)	Prec@5 86.000 (83.882)
Epoch: [75][8370/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.7658 (1.6759)	Prec@1 54.000 (55.085)	Prec@5 81.000 (83.880)
Epoch: [75][8380/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.6605 (1.6761)	Prec@1 58.500 (55.084)	Prec@5 86.000 (83.879)
Epoch: [75][8390/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.6431 (1.6761)	Prec@1 57.000 (55.083)	Prec@5 82.500 (83.877)
Epoch: [75][8400/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6503 (1.6761)	Prec@1 60.000 (55.086)	Prec@5 82.500 (83.878)
Epoch: [75][8410/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.5963 (1.6761)	Prec@1 58.500 (55.087)	Prec@5 86.000 (83.877)
Epoch: [75][8420/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7437 (1.6762)	Prec@1 54.500 (55.085)	Prec@5 84.000 (83.876)
Epoch: [75][8430/9018]	Time 0.612 (0.623)	Data 0.001 (0.003)	Loss 1.8111 (1.6762)	Prec@1 53.000 (55.083)	Prec@5 81.500 (83.875)
Epoch: [75][8440/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.5790 (1.6762)	Prec@1 56.500 (55.083)	Prec@5 84.000 (83.876)
Epoch: [75][8450/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.8359 (1.6762)	Prec@1 52.000 (55.083)	Prec@5 81.500 (83.876)
Epoch: [75][8460/9018]	Time 0.662 (0.623)	Data 0.001 (0.003)	Loss 1.6897 (1.6761)	Prec@1 54.000 (55.084)	Prec@5 84.000 (83.876)
Epoch: [75][8470/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.5121 (1.6761)	Prec@1 61.500 (55.086)	Prec@5 85.500 (83.876)
Epoch: [75][8480/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.6483 (1.6762)	Prec@1 55.000 (55.084)	Prec@5 84.000 (83.874)
Epoch: [75][8490/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.6029 (1.6762)	Prec@1 57.000 (55.082)	Prec@5 86.500 (83.874)
Epoch: [75][8500/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.6019 (1.6761)	Prec@1 57.000 (55.085)	Prec@5 84.500 (83.875)
Epoch: [75][8510/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.7246 (1.6762)	Prec@1 51.500 (55.084)	Prec@5 85.000 (83.875)
Epoch: [75][8520/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.8712 (1.6762)	Prec@1 50.000 (55.084)	Prec@5 80.500 (83.874)
Epoch: [75][8530/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 1.6555 (1.6761)	Prec@1 55.000 (55.087)	Prec@5 86.000 (83.876)
Epoch: [75][8540/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.5033 (1.6761)	Prec@1 59.000 (55.086)	Prec@5 88.000 (83.876)
Epoch: [75][8550/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.6583 (1.6761)	Prec@1 59.000 (55.087)	Prec@5 81.000 (83.875)
Epoch: [75][8560/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.6795 (1.6762)	Prec@1 54.500 (55.086)	Prec@5 86.500 (83.874)
Epoch: [75][8570/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.5977 (1.6762)	Prec@1 54.500 (55.085)	Prec@5 86.500 (83.872)
Epoch: [75][8580/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.6468 (1.6762)	Prec@1 56.500 (55.085)	Prec@5 81.000 (83.873)
Epoch: [75][8590/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.6630 (1.6762)	Prec@1 56.500 (55.086)	Prec@5 84.500 (83.873)
Epoch: [75][8600/9018]	Time 0.762 (0.622)	Data 0.001 (0.003)	Loss 1.6708 (1.6762)	Prec@1 54.000 (55.084)	Prec@5 84.000 (83.872)
Epoch: [75][8610/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.6503 (1.6763)	Prec@1 59.000 (55.085)	Prec@5 85.000 (83.872)
Epoch: [75][8620/9018]	Time 0.599 (0.622)	Data 0.001 (0.003)	Loss 1.6598 (1.6762)	Prec@1 50.000 (55.084)	Prec@5 85.500 (83.871)
Epoch: [75][8630/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.6527 (1.6763)	Prec@1 54.500 (55.083)	Prec@5 84.000 (83.870)
Epoch: [75][8640/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.7042 (1.6764)	Prec@1 55.500 (55.081)	Prec@5 86.000 (83.868)
Epoch: [75][8650/9018]	Time 0.733 (0.622)	Data 0.001 (0.003)	Loss 1.5734 (1.6764)	Prec@1 60.000 (55.080)	Prec@5 87.500 (83.868)
Epoch: [75][8660/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.6115 (1.6764)	Prec@1 57.500 (55.078)	Prec@5 83.500 (83.869)
Epoch: [75][8670/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.7033 (1.6764)	Prec@1 59.000 (55.077)	Prec@5 82.500 (83.869)
Epoch: [75][8680/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.7616 (1.6764)	Prec@1 52.000 (55.077)	Prec@5 82.000 (83.868)
Epoch: [75][8690/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.6534 (1.6765)	Prec@1 54.000 (55.075)	Prec@5 82.500 (83.866)
Epoch: [75][8700/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7111 (1.6764)	Prec@1 58.500 (55.076)	Prec@5 82.500 (83.867)
Epoch: [75][8710/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8530 (1.6765)	Prec@1 52.000 (55.075)	Prec@5 78.500 (83.866)
Epoch: [75][8720/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.6119 (1.6765)	Prec@1 58.000 (55.074)	Prec@5 84.500 (83.867)
Epoch: [75][8730/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 1.7231 (1.6765)	Prec@1 53.000 (55.074)	Prec@5 86.000 (83.868)
Epoch: [75][8740/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.7963 (1.6765)	Prec@1 52.500 (55.075)	Prec@5 83.000 (83.867)
Epoch: [75][8750/9018]	Time 0.600 (0.622)	Data 0.001 (0.003)	Loss 1.6744 (1.6765)	Prec@1 52.500 (55.074)	Prec@5 86.500 (83.867)
Epoch: [75][8760/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.6967 (1.6765)	Prec@1 52.500 (55.073)	Prec@5 83.000 (83.867)
Epoch: [75][8770/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.4707 (1.6765)	Prec@1 59.500 (55.074)	Prec@5 87.500 (83.867)
Epoch: [75][8780/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.7781 (1.6765)	Prec@1 56.000 (55.073)	Prec@5 81.500 (83.867)
Epoch: [75][8790/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.6393 (1.6765)	Prec@1 54.000 (55.073)	Prec@5 85.000 (83.867)
Epoch: [75][8800/9018]	Time 0.588 (0.622)	Data 0.001 (0.003)	Loss 1.6517 (1.6765)	Prec@1 55.500 (55.073)	Prec@5 87.000 (83.868)
Epoch: [75][8810/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.6723 (1.6765)	Prec@1 58.500 (55.075)	Prec@5 84.000 (83.867)
Epoch: [75][8820/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.7442 (1.6765)	Prec@1 51.500 (55.074)	Prec@5 81.500 (83.867)
Epoch: [75][8830/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.7317 (1.6765)	Prec@1 55.500 (55.074)	Prec@5 82.000 (83.866)
Epoch: [75][8840/9018]	Time 0.624 (0.622)	Data 0.006 (0.003)	Loss 1.8107 (1.6765)	Prec@1 52.000 (55.074)	Prec@5 83.500 (83.865)
Epoch: [75][8850/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.5144 (1.6765)	Prec@1 57.000 (55.074)	Prec@5 88.000 (83.866)
Epoch: [75][8860/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6971 (1.6766)	Prec@1 48.500 (55.072)	Prec@5 85.000 (83.864)
Epoch: [75][8870/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.6165 (1.6766)	Prec@1 55.000 (55.073)	Prec@5 83.000 (83.863)
Epoch: [75][8880/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.7960 (1.6766)	Prec@1 51.500 (55.075)	Prec@5 81.000 (83.862)
Epoch: [75][8890/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.6839 (1.6766)	Prec@1 56.000 (55.076)	Prec@5 84.000 (83.862)
Epoch: [75][8900/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.7888 (1.6766)	Prec@1 56.000 (55.075)	Prec@5 83.000 (83.862)
Epoch: [75][8910/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.6737 (1.6766)	Prec@1 56.000 (55.075)	Prec@5 84.000 (83.862)
Epoch: [75][8920/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.5925 (1.6766)	Prec@1 56.500 (55.074)	Prec@5 88.000 (83.863)
Epoch: [75][8930/9018]	Time 0.705 (0.622)	Data 0.001 (0.003)	Loss 1.6622 (1.6766)	Prec@1 54.000 (55.074)	Prec@5 84.500 (83.863)
Epoch: [75][8940/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.8080 (1.6766)	Prec@1 51.500 (55.073)	Prec@5 79.500 (83.862)
Epoch: [75][8950/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.5955 (1.6766)	Prec@1 56.500 (55.072)	Prec@5 84.500 (83.861)
Epoch: [75][8960/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.7797 (1.6766)	Prec@1 52.000 (55.073)	Prec@5 84.000 (83.862)
Epoch: [75][8970/9018]	Time 0.635 (0.622)	Data 0.001 (0.003)	Loss 1.7543 (1.6767)	Prec@1 51.500 (55.071)	Prec@5 85.500 (83.861)
Epoch: [75][8980/9018]	Time 0.756 (0.622)	Data 0.001 (0.003)	Loss 1.7146 (1.6767)	Prec@1 53.500 (55.070)	Prec@5 81.500 (83.860)
Epoch: [75][8990/9018]	Time 0.599 (0.622)	Data 0.002 (0.003)	Loss 1.9308 (1.6768)	Prec@1 51.500 (55.070)	Prec@5 77.000 (83.858)
Epoch: [75][9000/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.7476 (1.6767)	Prec@1 57.500 (55.070)	Prec@5 85.000 (83.859)
Epoch: [75][9010/9018]	Time 0.617 (0.622)	Data 0.000 (0.003)	Loss 1.4625 (1.6767)	Prec@1 61.000 (55.070)	Prec@5 86.500 (83.859)
Test: [0/183]	Time 1.473 (1.473)	Loss 2.4467 (2.4467)	Prec@1 36.500 (36.500)	Prec@5 72.000 (72.000)
Test: [10/183]	Time 0.188 (0.311)	Loss 1.5899 (1.6269)	Prec@1 62.500 (56.773)	Prec@5 86.000 (85.818)
Test: [20/183]	Time 0.207 (0.258)	Loss 1.9895 (1.5973)	Prec@1 45.000 (57.024)	Prec@5 82.000 (86.000)
Test: [30/183]	Time 0.194 (0.239)	Loss 2.2354 (1.6110)	Prec@1 33.000 (56.355)	Prec@5 77.500 (85.984)
Test: [40/183]	Time 0.184 (0.228)	Loss 2.1400 (1.6170)	Prec@1 41.500 (56.841)	Prec@5 81.000 (85.512)
Test: [50/183]	Time 0.187 (0.222)	Loss 1.5712 (1.5872)	Prec@1 56.000 (57.510)	Prec@5 88.500 (85.971)
Test: [60/183]	Time 0.195 (0.218)	Loss 2.1830 (1.6607)	Prec@1 44.500 (55.418)	Prec@5 78.000 (85.041)
Test: [70/183]	Time 0.190 (0.215)	Loss 1.5155 (1.6447)	Prec@1 54.000 (55.556)	Prec@5 88.000 (85.479)
Test: [80/183]	Time 0.185 (0.213)	Loss 1.2658 (1.6254)	Prec@1 63.000 (55.778)	Prec@5 92.000 (85.704)
Test: [90/183]	Time 0.185 (0.210)	Loss 2.2262 (1.6257)	Prec@1 41.000 (55.841)	Prec@5 76.000 (85.769)
Test: [100/183]	Time 0.190 (0.209)	Loss 0.7452 (1.6250)	Prec@1 77.500 (55.777)	Prec@5 95.000 (85.757)
Test: [110/183]	Time 0.189 (0.207)	Loss 0.7170 (1.6305)	Prec@1 82.000 (55.658)	Prec@5 96.000 (85.658)
Test: [120/183]	Time 0.184 (0.206)	Loss 1.9186 (1.6367)	Prec@1 46.000 (55.442)	Prec@5 76.000 (85.599)
Test: [130/183]	Time 0.197 (0.206)	Loss 2.8882 (1.6433)	Prec@1 24.500 (55.252)	Prec@5 74.500 (85.679)
Test: [140/183]	Time 0.189 (0.205)	Loss 1.5614 (1.6347)	Prec@1 60.000 (55.475)	Prec@5 87.000 (85.809)
Test: [150/183]	Time 0.188 (0.204)	Loss 0.6238 (1.6338)	Prec@1 83.000 (55.563)	Prec@5 99.000 (85.848)
Test: [160/183]	Time 0.184 (0.203)	Loss 1.5984 (1.6286)	Prec@1 53.500 (55.801)	Prec@5 84.500 (85.922)
Test: [170/183]	Time 0.179 (0.202)	Loss 2.1658 (1.6463)	Prec@1 34.500 (55.339)	Prec@5 82.000 (85.661)
Test: [180/183]	Time 0.181 (0.202)	Loss 1.9816 (1.6554)	Prec@1 47.000 (55.218)	Prec@5 81.000 (85.467)
 * Prec@1 55.175 Prec@5 85.449
Epoch: [76][0/9018]	Time 2.614 (2.614)	Data 1.946 (1.946)	Loss 1.9105 (1.9105)	Prec@1 51.000 (51.000)	Prec@5 78.500 (78.500)
Epoch: [76][10/9018]	Time 0.774 (0.800)	Data 0.001 (0.178)	Loss 1.7663 (1.6346)	Prec@1 57.000 (56.818)	Prec@5 83.500 (84.591)
Epoch: [76][20/9018]	Time 0.598 (0.703)	Data 0.001 (0.093)	Loss 1.8919 (1.6264)	Prec@1 47.000 (56.119)	Prec@5 78.500 (85.048)
Epoch: [76][30/9018]	Time 0.593 (0.675)	Data 0.001 (0.064)	Loss 1.7697 (1.6425)	Prec@1 55.000 (55.726)	Prec@5 83.500 (84.645)
Epoch: [76][40/9018]	Time 0.628 (0.657)	Data 0.001 (0.048)	Loss 1.6623 (1.6473)	Prec@1 56.500 (55.829)	Prec@5 84.500 (84.512)
Epoch: [76][50/9018]	Time 0.601 (0.651)	Data 0.001 (0.039)	Loss 1.5760 (1.6485)	Prec@1 56.000 (55.608)	Prec@5 85.000 (84.363)
Epoch: [76][60/9018]	Time 0.752 (0.646)	Data 0.001 (0.033)	Loss 1.5670 (1.6495)	Prec@1 58.000 (55.443)	Prec@5 85.000 (84.475)
Epoch: [76][70/9018]	Time 0.599 (0.640)	Data 0.001 (0.028)	Loss 1.6605 (1.6563)	Prec@1 53.000 (55.423)	Prec@5 83.000 (84.254)
Epoch: [76][80/9018]	Time 0.598 (0.638)	Data 0.001 (0.025)	Loss 1.4910 (1.6546)	Prec@1 61.500 (55.605)	Prec@5 85.000 (84.160)
Epoch: [76][90/9018]	Time 0.627 (0.634)	Data 0.001 (0.022)	Loss 1.5356 (1.6510)	Prec@1 63.000 (55.808)	Prec@5 86.500 (84.324)
Epoch: [76][100/9018]	Time 0.592 (0.632)	Data 0.011 (0.020)	Loss 1.7138 (1.6520)	Prec@1 56.500 (55.782)	Prec@5 83.500 (84.327)
Epoch: [76][110/9018]	Time 0.618 (0.631)	Data 0.001 (0.018)	Loss 1.6266 (1.6568)	Prec@1 55.500 (55.617)	Prec@5 85.000 (84.270)
Epoch: [76][120/9018]	Time 0.601 (0.629)	Data 0.001 (0.017)	Loss 1.6286 (1.6595)	Prec@1 59.000 (55.607)	Prec@5 85.500 (84.227)
Epoch: [76][130/9018]	Time 0.596 (0.628)	Data 0.001 (0.016)	Loss 1.6621 (1.6575)	Prec@1 55.000 (55.679)	Prec@5 86.500 (84.302)
Epoch: [76][140/9018]	Time 0.652 (0.627)	Data 0.001 (0.015)	Loss 1.7046 (1.6594)	Prec@1 53.500 (55.645)	Prec@5 83.000 (84.326)
Epoch: [76][150/9018]	Time 0.604 (0.626)	Data 0.001 (0.014)	Loss 1.6513 (1.6599)	Prec@1 56.000 (55.626)	Prec@5 83.500 (84.325)
Epoch: [76][160/9018]	Time 0.636 (0.627)	Data 0.001 (0.013)	Loss 1.6628 (1.6613)	Prec@1 51.500 (55.575)	Prec@5 82.500 (84.264)
Epoch: [76][170/9018]	Time 0.613 (0.626)	Data 0.014 (0.012)	Loss 1.6856 (1.6610)	Prec@1 57.500 (55.599)	Prec@5 80.500 (84.222)
Epoch: [76][180/9018]	Time 0.604 (0.625)	Data 0.001 (0.012)	Loss 1.7348 (1.6613)	Prec@1 52.000 (55.619)	Prec@5 83.000 (84.235)
Epoch: [76][190/9018]	Time 0.595 (0.625)	Data 0.001 (0.011)	Loss 1.6272 (1.6654)	Prec@1 55.500 (55.427)	Prec@5 83.000 (84.178)
Epoch: [76][200/9018]	Time 0.624 (0.624)	Data 0.001 (0.011)	Loss 1.6725 (1.6635)	Prec@1 55.500 (55.485)	Prec@5 83.000 (84.182)
Epoch: [76][210/9018]	Time 0.599 (0.625)	Data 0.001 (0.010)	Loss 1.4948 (1.6620)	Prec@1 57.000 (55.462)	Prec@5 86.000 (84.185)
Epoch: [76][220/9018]	Time 0.600 (0.623)	Data 0.001 (0.010)	Loss 1.8488 (1.6636)	Prec@1 51.000 (55.385)	Prec@5 78.500 (84.140)
Epoch: [76][230/9018]	Time 0.598 (0.623)	Data 0.001 (0.009)	Loss 1.4968 (1.6587)	Prec@1 57.500 (55.496)	Prec@5 87.500 (84.229)
Epoch: [76][240/9018]	Time 0.617 (0.623)	Data 0.001 (0.009)	Loss 1.6078 (1.6590)	Prec@1 54.500 (55.483)	Prec@5 87.500 (84.207)
Epoch: [76][250/9018]	Time 0.628 (0.623)	Data 0.001 (0.009)	Loss 1.8338 (1.6584)	Prec@1 45.000 (55.468)	Prec@5 83.000 (84.237)
Epoch: [76][260/9018]	Time 0.608 (0.623)	Data 0.001 (0.008)	Loss 1.6736 (1.6562)	Prec@1 51.500 (55.519)	Prec@5 85.000 (84.230)
Epoch: [76][270/9018]	Time 0.595 (0.623)	Data 0.001 (0.008)	Loss 1.5770 (1.6527)	Prec@1 58.000 (55.596)	Prec@5 86.500 (84.268)
Epoch: [76][280/9018]	Time 0.595 (0.622)	Data 0.001 (0.008)	Loss 1.6621 (1.6536)	Prec@1 55.000 (55.566)	Prec@5 85.500 (84.262)
Epoch: [76][290/9018]	Time 0.603 (0.622)	Data 0.001 (0.008)	Loss 1.4470 (1.6516)	Prec@1 60.000 (55.627)	Prec@5 87.500 (84.306)
Epoch: [76][300/9018]	Time 0.600 (0.622)	Data 0.001 (0.008)	Loss 1.5007 (1.6536)	Prec@1 57.000 (55.610)	Prec@5 86.000 (84.266)
Epoch: [76][310/9018]	Time 0.604 (0.622)	Data 0.001 (0.007)	Loss 1.4652 (1.6537)	Prec@1 62.000 (55.609)	Prec@5 88.000 (84.259)
Epoch: [76][320/9018]	Time 0.601 (0.621)	Data 0.001 (0.007)	Loss 1.6958 (1.6538)	Prec@1 54.000 (55.609)	Prec@5 85.000 (84.248)
Epoch: [76][330/9018]	Time 0.601 (0.621)	Data 0.001 (0.007)	Loss 1.5798 (1.6541)	Prec@1 57.000 (55.600)	Prec@5 87.500 (84.252)
Epoch: [76][340/9018]	Time 0.712 (0.621)	Data 0.001 (0.007)	Loss 1.7101 (1.6559)	Prec@1 49.500 (55.548)	Prec@5 85.000 (84.204)
Epoch: [76][350/9018]	Time 0.601 (0.621)	Data 0.001 (0.007)	Loss 1.4944 (1.6542)	Prec@1 57.000 (55.553)	Prec@5 86.000 (84.241)
Epoch: [76][360/9018]	Time 0.600 (0.621)	Data 0.001 (0.006)	Loss 1.8028 (1.6535)	Prec@1 53.500 (55.608)	Prec@5 82.500 (84.258)
Epoch: [76][370/9018]	Time 0.620 (0.620)	Data 0.001 (0.006)	Loss 1.8497 (1.6549)	Prec@1 53.500 (55.575)	Prec@5 83.000 (84.214)
Epoch: [76][380/9018]	Time 0.598 (0.620)	Data 0.001 (0.006)	Loss 1.9226 (1.6550)	Prec@1 46.000 (55.528)	Prec@5 82.500 (84.259)
Epoch: [76][390/9018]	Time 0.748 (0.620)	Data 0.001 (0.006)	Loss 1.6905 (1.6562)	Prec@1 54.500 (55.535)	Prec@5 85.500 (84.243)
Epoch: [76][400/9018]	Time 0.596 (0.620)	Data 0.001 (0.006)	Loss 1.4464 (1.6565)	Prec@1 57.500 (55.511)	Prec@5 88.500 (84.234)
Epoch: [76][410/9018]	Time 0.593 (0.620)	Data 0.001 (0.006)	Loss 1.6917 (1.6558)	Prec@1 55.000 (55.523)	Prec@5 81.000 (84.243)
Epoch: [76][420/9018]	Time 0.605 (0.619)	Data 0.001 (0.006)	Loss 1.7116 (1.6569)	Prec@1 58.500 (55.492)	Prec@5 84.500 (84.219)
Epoch: [76][430/9018]	Time 0.604 (0.620)	Data 0.001 (0.006)	Loss 1.4554 (1.6570)	Prec@1 62.500 (55.495)	Prec@5 86.500 (84.222)
Epoch: [76][440/9018]	Time 0.613 (0.620)	Data 0.001 (0.005)	Loss 1.6383 (1.6570)	Prec@1 58.000 (55.517)	Prec@5 82.500 (84.223)
Epoch: [76][450/9018]	Time 0.621 (0.619)	Data 0.001 (0.005)	Loss 1.7129 (1.6573)	Prec@1 55.500 (55.516)	Prec@5 84.500 (84.218)
Epoch: [76][460/9018]	Time 0.611 (0.619)	Data 0.001 (0.005)	Loss 1.5900 (1.6571)	Prec@1 59.500 (55.547)	Prec@5 86.000 (84.218)
Epoch: [76][470/9018]	Time 0.614 (0.619)	Data 0.001 (0.005)	Loss 1.6729 (1.6563)	Prec@1 57.000 (55.574)	Prec@5 84.500 (84.213)
Epoch: [76][480/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 1.7612 (1.6572)	Prec@1 53.000 (55.534)	Prec@5 84.500 (84.203)
Epoch: [76][490/9018]	Time 0.602 (0.619)	Data 0.001 (0.005)	Loss 1.5814 (1.6577)	Prec@1 56.500 (55.474)	Prec@5 85.000 (84.170)
Epoch: [76][500/9018]	Time 0.637 (0.619)	Data 0.001 (0.005)	Loss 1.6088 (1.6583)	Prec@1 56.500 (55.465)	Prec@5 82.500 (84.148)
Epoch: [76][510/9018]	Time 0.611 (0.619)	Data 0.001 (0.005)	Loss 1.7668 (1.6579)	Prec@1 53.500 (55.474)	Prec@5 80.000 (84.166)
Epoch: [76][520/9018]	Time 0.624 (0.619)	Data 0.001 (0.005)	Loss 1.8682 (1.6575)	Prec@1 51.500 (55.488)	Prec@5 81.000 (84.179)
Epoch: [76][530/9018]	Time 0.613 (0.619)	Data 0.001 (0.005)	Loss 1.6385 (1.6573)	Prec@1 56.500 (55.471)	Prec@5 83.500 (84.190)
Epoch: [76][540/9018]	Time 0.592 (0.619)	Data 0.001 (0.005)	Loss 1.5956 (1.6562)	Prec@1 58.000 (55.519)	Prec@5 85.000 (84.209)
Epoch: [76][550/9018]	Time 0.624 (0.618)	Data 0.001 (0.005)	Loss 1.3786 (1.6565)	Prec@1 64.000 (55.501)	Prec@5 89.500 (84.212)
Epoch: [76][560/9018]	Time 0.594 (0.618)	Data 0.001 (0.005)	Loss 1.6122 (1.6572)	Prec@1 57.000 (55.481)	Prec@5 84.500 (84.205)
Epoch: [76][570/9018]	Time 0.634 (0.618)	Data 0.001 (0.004)	Loss 1.6357 (1.6577)	Prec@1 52.500 (55.473)	Prec@5 86.500 (84.195)
Epoch: [76][580/9018]	Time 0.616 (0.618)	Data 0.001 (0.004)	Loss 1.5755 (1.6571)	Prec@1 58.000 (55.489)	Prec@5 85.500 (84.209)
Epoch: [76][590/9018]	Time 0.633 (0.618)	Data 0.001 (0.004)	Loss 1.6356 (1.6575)	Prec@1 55.000 (55.476)	Prec@5 84.000 (84.210)
Epoch: [76][600/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 1.6080 (1.6582)	Prec@1 56.500 (55.478)	Prec@5 88.000 (84.210)
Epoch: [76][610/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 1.7003 (1.6580)	Prec@1 53.500 (55.480)	Prec@5 85.000 (84.210)
Epoch: [76][620/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 1.7338 (1.6591)	Prec@1 54.000 (55.436)	Prec@5 83.500 (84.190)
Epoch: [76][630/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 1.4311 (1.6593)	Prec@1 64.500 (55.429)	Prec@5 86.500 (84.199)
Epoch: [76][640/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 1.6895 (1.6598)	Prec@1 55.000 (55.417)	Prec@5 85.000 (84.186)
Epoch: [76][650/9018]	Time 0.622 (0.618)	Data 0.001 (0.004)	Loss 1.5480 (1.6594)	Prec@1 53.500 (55.435)	Prec@5 88.500 (84.197)
Epoch: [76][660/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 1.7240 (1.6595)	Prec@1 48.000 (55.430)	Prec@5 85.000 (84.204)
Epoch: [76][670/9018]	Time 0.736 (0.618)	Data 0.001 (0.004)	Loss 1.6908 (1.6588)	Prec@1 57.000 (55.447)	Prec@5 83.500 (84.219)
Epoch: [76][680/9018]	Time 0.625 (0.618)	Data 0.001 (0.004)	Loss 1.9599 (1.6590)	Prec@1 51.000 (55.460)	Prec@5 79.500 (84.211)
Epoch: [76][690/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 1.5431 (1.6586)	Prec@1 59.000 (55.474)	Prec@5 86.500 (84.216)
Epoch: [76][700/9018]	Time 0.630 (0.618)	Data 0.001 (0.004)	Loss 1.5861 (1.6586)	Prec@1 57.500 (55.495)	Prec@5 86.000 (84.213)
Epoch: [76][710/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 1.6993 (1.6594)	Prec@1 58.500 (55.485)	Prec@5 83.500 (84.200)
Epoch: [76][720/9018]	Time 0.711 (0.618)	Data 0.001 (0.004)	Loss 1.7127 (1.6601)	Prec@1 58.000 (55.469)	Prec@5 86.000 (84.199)
Epoch: [76][730/9018]	Time 0.590 (0.617)	Data 0.001 (0.004)	Loss 1.6598 (1.6603)	Prec@1 53.000 (55.466)	Prec@5 85.000 (84.196)
Epoch: [76][740/9018]	Time 0.607 (0.617)	Data 0.001 (0.004)	Loss 1.6647 (1.6594)	Prec@1 58.500 (55.498)	Prec@5 83.500 (84.209)
Epoch: [76][750/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 1.8040 (1.6594)	Prec@1 55.000 (55.497)	Prec@5 80.000 (84.208)
Epoch: [76][760/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 1.7004 (1.6591)	Prec@1 52.000 (55.501)	Prec@5 83.000 (84.204)
Epoch: [76][770/9018]	Time 0.634 (0.617)	Data 0.001 (0.004)	Loss 1.6625 (1.6595)	Prec@1 57.500 (55.492)	Prec@5 83.000 (84.193)
Epoch: [76][780/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.6044 (1.6587)	Prec@1 53.000 (55.516)	Prec@5 84.000 (84.199)
Epoch: [76][790/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.4924 (1.6591)	Prec@1 60.500 (55.504)	Prec@5 85.500 (84.189)
Epoch: [76][800/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 1.8228 (1.6594)	Prec@1 49.000 (55.491)	Prec@5 80.000 (84.174)
Epoch: [76][810/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 1.5739 (1.6590)	Prec@1 59.500 (55.496)	Prec@5 85.000 (84.180)
Epoch: [76][820/9018]	Time 0.592 (0.617)	Data 0.001 (0.003)	Loss 1.7959 (1.6597)	Prec@1 51.500 (55.477)	Prec@5 83.500 (84.166)
Epoch: [76][830/9018]	Time 0.632 (0.617)	Data 0.017 (0.003)	Loss 1.8904 (1.6600)	Prec@1 52.500 (55.477)	Prec@5 80.000 (84.167)
Epoch: [76][840/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.6570 (1.6604)	Prec@1 54.500 (55.463)	Prec@5 83.500 (84.152)
Epoch: [76][850/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 1.6901 (1.6604)	Prec@1 50.000 (55.457)	Prec@5 83.000 (84.160)
Epoch: [76][860/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 1.6656 (1.6607)	Prec@1 55.500 (55.452)	Prec@5 84.500 (84.157)
Epoch: [76][870/9018]	Time 0.625 (0.617)	Data 0.001 (0.003)	Loss 1.5505 (1.6605)	Prec@1 59.000 (55.460)	Prec@5 85.000 (84.152)
Epoch: [76][880/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 1.7879 (1.6608)	Prec@1 51.000 (55.452)	Prec@5 82.500 (84.153)
Epoch: [76][890/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.7085 (1.6611)	Prec@1 56.000 (55.447)	Prec@5 84.000 (84.152)
Epoch: [76][900/9018]	Time 0.619 (0.617)	Data 0.001 (0.003)	Loss 1.8540 (1.6614)	Prec@1 53.000 (55.436)	Prec@5 82.500 (84.146)
Epoch: [76][910/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.8080 (1.6613)	Prec@1 52.500 (55.450)	Prec@5 81.000 (84.141)
Epoch: [76][920/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.5096 (1.6610)	Prec@1 58.500 (55.466)	Prec@5 87.500 (84.146)
Epoch: [76][930/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.5957 (1.6617)	Prec@1 56.500 (55.456)	Prec@5 86.500 (84.134)
Epoch: [76][940/9018]	Time 0.642 (0.618)	Data 0.001 (0.003)	Loss 1.7734 (1.6615)	Prec@1 48.500 (55.447)	Prec@5 82.000 (84.138)
Epoch: [76][950/9018]	Time 0.621 (0.618)	Data 0.001 (0.003)	Loss 1.4927 (1.6614)	Prec@1 60.500 (55.452)	Prec@5 86.000 (84.138)
Epoch: [76][960/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 1.6129 (1.6616)	Prec@1 53.000 (55.443)	Prec@5 86.500 (84.137)
Epoch: [76][970/9018]	Time 0.618 (0.618)	Data 0.002 (0.003)	Loss 1.4649 (1.6618)	Prec@1 57.000 (55.426)	Prec@5 88.500 (84.139)
Epoch: [76][980/9018]	Time 0.613 (0.618)	Data 0.014 (0.003)	Loss 1.6356 (1.6617)	Prec@1 57.500 (55.432)	Prec@5 85.000 (84.136)
Epoch: [76][990/9018]	Time 0.611 (0.618)	Data 0.001 (0.003)	Loss 1.8807 (1.6619)	Prec@1 55.500 (55.431)	Prec@5 78.000 (84.133)
Epoch: [76][1000/9018]	Time 0.737 (0.618)	Data 0.001 (0.003)	Loss 1.8772 (1.6618)	Prec@1 48.500 (55.430)	Prec@5 79.500 (84.137)
Epoch: [76][1010/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.7387 (1.6618)	Prec@1 54.000 (55.425)	Prec@5 86.500 (84.137)
Epoch: [76][1020/9018]	Time 0.647 (0.618)	Data 0.001 (0.003)	Loss 1.7296 (1.6611)	Prec@1 55.500 (55.441)	Prec@5 82.000 (84.145)
Epoch: [76][1030/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 1.8381 (1.6618)	Prec@1 55.000 (55.424)	Prec@5 80.500 (84.133)
Epoch: [76][1040/9018]	Time 0.623 (0.618)	Data 0.001 (0.003)	Loss 1.8669 (1.6623)	Prec@1 47.500 (55.400)	Prec@5 81.000 (84.127)
Epoch: [76][1050/9018]	Time 0.745 (0.618)	Data 0.001 (0.003)	Loss 1.8127 (1.6624)	Prec@1 52.500 (55.395)	Prec@5 81.500 (84.135)
Epoch: [76][1060/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 1.7290 (1.6621)	Prec@1 53.000 (55.399)	Prec@5 83.500 (84.145)
Epoch: [76][1070/9018]	Time 0.618 (0.619)	Data 0.014 (0.003)	Loss 1.6703 (1.6623)	Prec@1 53.500 (55.396)	Prec@5 83.500 (84.135)
Epoch: [76][1080/9018]	Time 0.611 (0.619)	Data 0.015 (0.003)	Loss 1.6322 (1.6618)	Prec@1 55.500 (55.406)	Prec@5 85.500 (84.135)
Epoch: [76][1090/9018]	Time 0.605 (0.619)	Data 0.001 (0.003)	Loss 1.4598 (1.6621)	Prec@1 60.500 (55.395)	Prec@5 87.000 (84.134)
Epoch: [76][1100/9018]	Time 0.625 (0.619)	Data 0.001 (0.003)	Loss 1.7883 (1.6625)	Prec@1 52.000 (55.390)	Prec@5 79.500 (84.120)
Epoch: [76][1110/9018]	Time 0.602 (0.619)	Data 0.001 (0.003)	Loss 1.6690 (1.6621)	Prec@1 53.500 (55.388)	Prec@5 88.000 (84.128)
Epoch: [76][1120/9018]	Time 0.618 (0.619)	Data 0.001 (0.003)	Loss 1.7041 (1.6618)	Prec@1 57.000 (55.403)	Prec@5 80.000 (84.127)
Epoch: [76][1130/9018]	Time 0.594 (0.619)	Data 0.006 (0.003)	Loss 1.4927 (1.6613)	Prec@1 58.000 (55.418)	Prec@5 85.000 (84.143)
Epoch: [76][1140/9018]	Time 0.645 (0.619)	Data 0.001 (0.003)	Loss 1.7695 (1.6618)	Prec@1 50.500 (55.397)	Prec@5 82.000 (84.136)
Epoch: [76][1150/9018]	Time 0.622 (0.619)	Data 0.001 (0.003)	Loss 1.7505 (1.6618)	Prec@1 51.000 (55.402)	Prec@5 80.500 (84.131)
Epoch: [76][1160/9018]	Time 0.606 (0.619)	Data 0.011 (0.003)	Loss 1.6732 (1.6620)	Prec@1 58.000 (55.409)	Prec@5 85.000 (84.127)
Epoch: [76][1170/9018]	Time 0.594 (0.619)	Data 0.001 (0.003)	Loss 1.6707 (1.6616)	Prec@1 53.000 (55.410)	Prec@5 84.000 (84.133)
Epoch: [76][1180/9018]	Time 0.627 (0.619)	Data 0.001 (0.003)	Loss 1.6929 (1.6615)	Prec@1 52.000 (55.405)	Prec@5 84.500 (84.139)
Epoch: [76][1190/9018]	Time 0.613 (0.619)	Data 0.001 (0.003)	Loss 1.4211 (1.6612)	Prec@1 63.500 (55.424)	Prec@5 87.500 (84.139)
Epoch: [76][1200/9018]	Time 0.618 (0.619)	Data 0.001 (0.003)	Loss 1.5686 (1.6611)	Prec@1 53.500 (55.424)	Prec@5 87.000 (84.137)
Epoch: [76][1210/9018]	Time 0.611 (0.619)	Data 0.016 (0.003)	Loss 1.6801 (1.6611)	Prec@1 53.000 (55.422)	Prec@5 82.500 (84.143)
Epoch: [76][1220/9018]	Time 0.611 (0.619)	Data 0.001 (0.003)	Loss 1.4244 (1.6607)	Prec@1 61.500 (55.428)	Prec@5 85.000 (84.149)
Epoch: [76][1230/9018]	Time 0.621 (0.619)	Data 0.001 (0.003)	Loss 1.7164 (1.6606)	Prec@1 52.000 (55.433)	Prec@5 83.000 (84.142)
Epoch: [76][1240/9018]	Time 0.604 (0.620)	Data 0.001 (0.003)	Loss 1.6811 (1.6605)	Prec@1 51.500 (55.441)	Prec@5 84.500 (84.139)
Epoch: [76][1250/9018]	Time 0.649 (0.620)	Data 0.001 (0.003)	Loss 1.7192 (1.6603)	Prec@1 53.500 (55.443)	Prec@5 84.000 (84.147)
Epoch: [76][1260/9018]	Time 0.625 (0.620)	Data 0.001 (0.003)	Loss 1.6850 (1.6609)	Prec@1 58.000 (55.443)	Prec@5 84.500 (84.142)
Epoch: [76][1270/9018]	Time 0.592 (0.620)	Data 0.001 (0.003)	Loss 1.6652 (1.6606)	Prec@1 53.000 (55.448)	Prec@5 84.500 (84.144)
Epoch: [76][1280/9018]	Time 0.622 (0.620)	Data 0.001 (0.003)	Loss 1.6404 (1.6604)	Prec@1 58.500 (55.459)	Prec@5 84.000 (84.144)
Epoch: [76][1290/9018]	Time 0.602 (0.619)	Data 0.001 (0.003)	Loss 1.6283 (1.6603)	Prec@1 55.000 (55.455)	Prec@5 85.000 (84.146)
Epoch: [76][1300/9018]	Time 0.601 (0.620)	Data 0.014 (0.003)	Loss 1.6585 (1.6602)	Prec@1 56.000 (55.458)	Prec@5 81.500 (84.144)
Epoch: [76][1310/9018]	Time 0.617 (0.620)	Data 0.016 (0.003)	Loss 1.5144 (1.6603)	Prec@1 61.500 (55.460)	Prec@5 86.000 (84.140)
Epoch: [76][1320/9018]	Time 0.590 (0.620)	Data 0.001 (0.003)	Loss 1.7392 (1.6603)	Prec@1 55.500 (55.457)	Prec@5 85.000 (84.137)
Epoch: [76][1330/9018]	Time 0.726 (0.620)	Data 0.007 (0.003)	Loss 1.9206 (1.6604)	Prec@1 51.500 (55.459)	Prec@5 78.500 (84.133)
Epoch: [76][1340/9018]	Time 0.629 (0.620)	Data 0.001 (0.003)	Loss 1.5857 (1.6603)	Prec@1 56.500 (55.453)	Prec@5 84.500 (84.132)
Epoch: [76][1350/9018]	Time 0.623 (0.620)	Data 0.016 (0.003)	Loss 1.4395 (1.6600)	Prec@1 64.000 (55.464)	Prec@5 85.000 (84.128)
Epoch: [76][1360/9018]	Time 0.595 (0.620)	Data 0.001 (0.003)	Loss 1.7739 (1.6601)	Prec@1 51.500 (55.472)	Prec@5 84.500 (84.122)
Epoch: [76][1370/9018]	Time 0.617 (0.620)	Data 0.001 (0.003)	Loss 1.8134 (1.6599)	Prec@1 50.500 (55.482)	Prec@5 79.500 (84.125)
Epoch: [76][1380/9018]	Time 0.758 (0.620)	Data 0.001 (0.003)	Loss 1.5288 (1.6598)	Prec@1 59.000 (55.488)	Prec@5 88.000 (84.123)
Epoch: [76][1390/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.6173 (1.6602)	Prec@1 55.500 (55.479)	Prec@5 85.000 (84.113)
Epoch: [76][1400/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.5322 (1.6601)	Prec@1 57.000 (55.471)	Prec@5 86.000 (84.113)
Epoch: [76][1410/9018]	Time 0.623 (0.620)	Data 0.001 (0.003)	Loss 1.7794 (1.6600)	Prec@1 51.500 (55.476)	Prec@5 82.000 (84.119)
Epoch: [76][1420/9018]	Time 0.616 (0.620)	Data 0.001 (0.003)	Loss 1.5028 (1.6600)	Prec@1 61.000 (55.480)	Prec@5 83.500 (84.118)
Epoch: [76][1430/9018]	Time 0.632 (0.620)	Data 0.001 (0.003)	Loss 1.5443 (1.6601)	Prec@1 57.500 (55.470)	Prec@5 85.000 (84.116)
Epoch: [76][1440/9018]	Time 0.614 (0.620)	Data 0.014 (0.003)	Loss 1.6032 (1.6604)	Prec@1 56.500 (55.465)	Prec@5 84.500 (84.108)
Epoch: [76][1450/9018]	Time 0.614 (0.620)	Data 0.014 (0.003)	Loss 1.7412 (1.6607)	Prec@1 54.000 (55.454)	Prec@5 84.500 (84.100)
Epoch: [76][1460/9018]	Time 0.616 (0.620)	Data 0.001 (0.003)	Loss 1.5703 (1.6604)	Prec@1 54.500 (55.459)	Prec@5 85.000 (84.100)
Epoch: [76][1470/9018]	Time 0.627 (0.620)	Data 0.001 (0.003)	Loss 1.7559 (1.6604)	Prec@1 50.000 (55.455)	Prec@5 82.500 (84.100)
Epoch: [76][1480/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.5625 (1.6602)	Prec@1 57.500 (55.461)	Prec@5 84.000 (84.107)
Epoch: [76][1490/9018]	Time 0.622 (0.620)	Data 0.016 (0.003)	Loss 1.5780 (1.6606)	Prec@1 59.000 (55.453)	Prec@5 86.000 (84.106)
Epoch: [76][1500/9018]	Time 0.600 (0.620)	Data 0.001 (0.003)	Loss 1.7593 (1.6606)	Prec@1 52.500 (55.452)	Prec@5 82.000 (84.107)
Epoch: [76][1510/9018]	Time 0.615 (0.620)	Data 0.017 (0.003)	Loss 1.4272 (1.6605)	Prec@1 62.500 (55.456)	Prec@5 88.500 (84.110)
Epoch: [76][1520/9018]	Time 0.600 (0.620)	Data 0.001 (0.003)	Loss 1.4553 (1.6601)	Prec@1 57.500 (55.458)	Prec@5 88.000 (84.111)
Epoch: [76][1530/9018]	Time 0.630 (0.620)	Data 0.001 (0.003)	Loss 1.5213 (1.6600)	Prec@1 59.500 (55.458)	Prec@5 85.000 (84.108)
Epoch: [76][1540/9018]	Time 0.628 (0.620)	Data 0.001 (0.003)	Loss 1.6496 (1.6605)	Prec@1 53.000 (55.443)	Prec@5 86.500 (84.099)
Epoch: [76][1550/9018]	Time 0.611 (0.620)	Data 0.001 (0.003)	Loss 1.5885 (1.6602)	Prec@1 61.000 (55.450)	Prec@5 85.500 (84.105)
Epoch: [76][1560/9018]	Time 0.629 (0.620)	Data 0.001 (0.003)	Loss 1.6054 (1.6606)	Prec@1 60.500 (55.448)	Prec@5 84.500 (84.096)
Epoch: [76][1570/9018]	Time 0.606 (0.620)	Data 0.001 (0.003)	Loss 1.7007 (1.6611)	Prec@1 56.000 (55.437)	Prec@5 84.500 (84.089)
Epoch: [76][1580/9018]	Time 0.619 (0.620)	Data 0.001 (0.003)	Loss 1.5818 (1.6614)	Prec@1 54.500 (55.433)	Prec@5 86.000 (84.086)
Epoch: [76][1590/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.5920 (1.6611)	Prec@1 55.500 (55.437)	Prec@5 85.000 (84.094)
Epoch: [76][1600/9018]	Time 0.613 (0.620)	Data 0.001 (0.003)	Loss 1.8638 (1.6612)	Prec@1 45.500 (55.423)	Prec@5 82.000 (84.089)
Epoch: [76][1610/9018]	Time 0.637 (0.620)	Data 0.001 (0.003)	Loss 1.5304 (1.6610)	Prec@1 59.000 (55.431)	Prec@5 83.000 (84.090)
Epoch: [76][1620/9018]	Time 0.590 (0.620)	Data 0.001 (0.003)	Loss 1.4468 (1.6612)	Prec@1 61.500 (55.432)	Prec@5 86.000 (84.084)
Epoch: [76][1630/9018]	Time 0.611 (0.620)	Data 0.001 (0.003)	Loss 1.5927 (1.6611)	Prec@1 53.500 (55.431)	Prec@5 83.500 (84.083)
Epoch: [76][1640/9018]	Time 0.638 (0.620)	Data 0.001 (0.003)	Loss 1.6705 (1.6611)	Prec@1 54.500 (55.434)	Prec@5 83.500 (84.081)
Epoch: [76][1650/9018]	Time 0.619 (0.621)	Data 0.016 (0.003)	Loss 1.7027 (1.6610)	Prec@1 54.500 (55.437)	Prec@5 84.000 (84.082)
Epoch: [76][1660/9018]	Time 0.824 (0.621)	Data 0.004 (0.003)	Loss 1.9251 (1.6608)	Prec@1 50.000 (55.443)	Prec@5 79.000 (84.082)
Epoch: [76][1670/9018]	Time 0.633 (0.621)	Data 0.001 (0.003)	Loss 1.6237 (1.6609)	Prec@1 53.000 (55.434)	Prec@5 84.000 (84.078)
Epoch: [76][1680/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.7592 (1.6609)	Prec@1 55.000 (55.435)	Prec@5 85.000 (84.080)
Epoch: [76][1690/9018]	Time 0.593 (0.621)	Data 0.001 (0.003)	Loss 1.7657 (1.6613)	Prec@1 55.500 (55.425)	Prec@5 82.500 (84.075)
Epoch: [76][1700/9018]	Time 0.599 (0.621)	Data 0.001 (0.003)	Loss 1.8337 (1.6613)	Prec@1 53.000 (55.424)	Prec@5 81.000 (84.077)
Epoch: [76][1710/9018]	Time 0.747 (0.621)	Data 0.001 (0.003)	Loss 1.5520 (1.6609)	Prec@1 54.000 (55.432)	Prec@5 88.000 (84.080)
Epoch: [76][1720/9018]	Time 0.613 (0.621)	Data 0.015 (0.003)	Loss 1.4875 (1.6607)	Prec@1 61.000 (55.441)	Prec@5 87.500 (84.079)
Epoch: [76][1730/9018]	Time 0.631 (0.621)	Data 0.001 (0.003)	Loss 1.8067 (1.6610)	Prec@1 50.500 (55.433)	Prec@5 83.000 (84.076)
Epoch: [76][1740/9018]	Time 0.594 (0.621)	Data 0.001 (0.003)	Loss 1.7696 (1.6614)	Prec@1 55.000 (55.431)	Prec@5 79.500 (84.065)
Epoch: [76][1750/9018]	Time 0.599 (0.621)	Data 0.001 (0.003)	Loss 1.4887 (1.6617)	Prec@1 60.500 (55.424)	Prec@5 84.500 (84.060)
Epoch: [76][1760/9018]	Time 0.652 (0.621)	Data 0.001 (0.003)	Loss 1.5327 (1.6616)	Prec@1 59.500 (55.430)	Prec@5 83.500 (84.059)
Epoch: [76][1770/9018]	Time 0.608 (0.621)	Data 0.005 (0.003)	Loss 1.6518 (1.6617)	Prec@1 56.000 (55.422)	Prec@5 87.000 (84.059)
Epoch: [76][1780/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.8042 (1.6620)	Prec@1 48.000 (55.415)	Prec@5 84.000 (84.054)
Epoch: [76][1790/9018]	Time 0.590 (0.621)	Data 0.001 (0.003)	Loss 1.5759 (1.6623)	Prec@1 55.000 (55.403)	Prec@5 87.000 (84.053)
Epoch: [76][1800/9018]	Time 0.614 (0.621)	Data 0.001 (0.003)	Loss 1.6098 (1.6622)	Prec@1 53.500 (55.405)	Prec@5 86.000 (84.054)
Epoch: [76][1810/9018]	Time 0.635 (0.621)	Data 0.001 (0.003)	Loss 1.7437 (1.6624)	Prec@1 50.500 (55.401)	Prec@5 81.500 (84.051)
Epoch: [76][1820/9018]	Time 0.636 (0.621)	Data 0.001 (0.003)	Loss 1.6164 (1.6621)	Prec@1 58.500 (55.410)	Prec@5 85.500 (84.056)
Epoch: [76][1830/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.6395 (1.6620)	Prec@1 57.000 (55.414)	Prec@5 84.000 (84.054)
Epoch: [76][1840/9018]	Time 0.618 (0.621)	Data 0.001 (0.003)	Loss 1.7195 (1.6620)	Prec@1 55.000 (55.419)	Prec@5 84.500 (84.052)
Epoch: [76][1850/9018]	Time 0.617 (0.621)	Data 0.001 (0.003)	Loss 1.7741 (1.6622)	Prec@1 53.000 (55.417)	Prec@5 82.500 (84.047)
Epoch: [76][1860/9018]	Time 0.593 (0.621)	Data 0.001 (0.003)	Loss 1.5429 (1.6622)	Prec@1 60.500 (55.413)	Prec@5 85.500 (84.048)
Epoch: [76][1870/9018]	Time 0.613 (0.621)	Data 0.001 (0.003)	Loss 1.5118 (1.6621)	Prec@1 60.500 (55.421)	Prec@5 85.500 (84.049)
Epoch: [76][1880/9018]	Time 0.613 (0.621)	Data 0.001 (0.003)	Loss 1.5742 (1.6623)	Prec@1 58.000 (55.419)	Prec@5 86.000 (84.045)
Epoch: [76][1890/9018]	Time 0.609 (0.621)	Data 0.001 (0.003)	Loss 1.6666 (1.6621)	Prec@1 57.500 (55.422)	Prec@5 86.000 (84.054)
Epoch: [76][1900/9018]	Time 0.616 (0.621)	Data 0.001 (0.003)	Loss 1.6003 (1.6624)	Prec@1 57.000 (55.416)	Prec@5 87.000 (84.053)
Epoch: [76][1910/9018]	Time 0.629 (0.621)	Data 0.001 (0.003)	Loss 1.6895 (1.6622)	Prec@1 53.500 (55.416)	Prec@5 82.500 (84.056)
Epoch: [76][1920/9018]	Time 0.634 (0.621)	Data 0.017 (0.003)	Loss 1.6178 (1.6619)	Prec@1 60.000 (55.426)	Prec@5 83.000 (84.058)
Epoch: [76][1930/9018]	Time 0.647 (0.621)	Data 0.001 (0.003)	Loss 1.7854 (1.6620)	Prec@1 51.000 (55.422)	Prec@5 84.500 (84.051)
Epoch: [76][1940/9018]	Time 0.633 (0.621)	Data 0.001 (0.003)	Loss 1.7266 (1.6619)	Prec@1 54.500 (55.425)	Prec@5 85.500 (84.057)
Epoch: [76][1950/9018]	Time 0.616 (0.621)	Data 0.001 (0.003)	Loss 1.7334 (1.6620)	Prec@1 48.500 (55.416)	Prec@5 87.000 (84.059)
Epoch: [76][1960/9018]	Time 0.608 (0.621)	Data 0.014 (0.003)	Loss 1.6637 (1.6617)	Prec@1 55.500 (55.415)	Prec@5 84.000 (84.062)
Epoch: [76][1970/9018]	Time 0.629 (0.621)	Data 0.001 (0.003)	Loss 1.8243 (1.6615)	Prec@1 51.000 (55.422)	Prec@5 83.000 (84.066)
Epoch: [76][1980/9018]	Time 0.602 (0.621)	Data 0.001 (0.003)	Loss 1.7343 (1.6616)	Prec@1 54.500 (55.420)	Prec@5 82.500 (84.062)
Epoch: [76][1990/9018]	Time 0.758 (0.621)	Data 0.001 (0.003)	Loss 1.5398 (1.6616)	Prec@1 58.000 (55.423)	Prec@5 85.000 (84.067)
Epoch: [76][2000/9018]	Time 0.614 (0.621)	Data 0.001 (0.003)	Loss 1.6729 (1.6613)	Prec@1 53.500 (55.427)	Prec@5 82.500 (84.068)
Epoch: [76][2010/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.7380 (1.6611)	Prec@1 52.000 (55.433)	Prec@5 86.000 (84.072)
Epoch: [76][2020/9018]	Time 0.618 (0.621)	Data 0.014 (0.003)	Loss 1.4874 (1.6612)	Prec@1 58.500 (55.435)	Prec@5 87.500 (84.070)
Epoch: [76][2030/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.6311 (1.6611)	Prec@1 52.500 (55.432)	Prec@5 84.500 (84.070)
Epoch: [76][2040/9018]	Time 0.790 (0.622)	Data 0.013 (0.003)	Loss 1.9088 (1.6614)	Prec@1 52.000 (55.432)	Prec@5 81.000 (84.063)
Epoch: [76][2050/9018]	Time 0.640 (0.622)	Data 0.014 (0.003)	Loss 1.6469 (1.6616)	Prec@1 50.500 (55.427)	Prec@5 88.000 (84.060)
Epoch: [76][2060/9018]	Time 0.633 (0.622)	Data 0.015 (0.003)	Loss 1.6183 (1.6617)	Prec@1 61.000 (55.423)	Prec@5 82.500 (84.058)
Epoch: [76][2070/9018]	Time 0.663 (0.622)	Data 0.001 (0.003)	Loss 1.6310 (1.6615)	Prec@1 54.500 (55.429)	Prec@5 84.000 (84.058)
Epoch: [76][2080/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.7322 (1.6612)	Prec@1 56.000 (55.435)	Prec@5 83.000 (84.066)
Epoch: [76][2090/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.6015 (1.6612)	Prec@1 55.500 (55.443)	Prec@5 88.000 (84.068)
Epoch: [76][2100/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.8532 (1.6613)	Prec@1 52.000 (55.446)	Prec@5 82.000 (84.067)
Epoch: [76][2110/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6777 (1.6612)	Prec@1 56.000 (55.442)	Prec@5 83.000 (84.069)
Epoch: [76][2120/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.6912 (1.6613)	Prec@1 58.000 (55.442)	Prec@5 83.000 (84.070)
Epoch: [76][2130/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.6321 (1.6612)	Prec@1 57.500 (55.445)	Prec@5 84.500 (84.070)
Epoch: [76][2140/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.7708 (1.6614)	Prec@1 56.000 (55.443)	Prec@5 81.000 (84.068)
Epoch: [76][2150/9018]	Time 0.632 (0.622)	Data 0.017 (0.003)	Loss 1.5841 (1.6613)	Prec@1 56.000 (55.442)	Prec@5 86.500 (84.067)
Epoch: [76][2160/9018]	Time 0.622 (0.622)	Data 0.005 (0.003)	Loss 1.6852 (1.6612)	Prec@1 55.000 (55.442)	Prec@5 85.500 (84.070)
Epoch: [76][2170/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.6445 (1.6612)	Prec@1 55.500 (55.446)	Prec@5 86.000 (84.068)
Epoch: [76][2180/9018]	Time 0.606 (0.622)	Data 0.012 (0.003)	Loss 1.4525 (1.6612)	Prec@1 59.000 (55.448)	Prec@5 89.000 (84.072)
Epoch: [76][2190/9018]	Time 0.636 (0.622)	Data 0.001 (0.003)	Loss 1.4225 (1.6612)	Prec@1 62.500 (55.450)	Prec@5 88.000 (84.076)
Epoch: [76][2200/9018]	Time 0.611 (0.622)	Data 0.016 (0.003)	Loss 1.5184 (1.6612)	Prec@1 58.500 (55.453)	Prec@5 84.500 (84.074)
Epoch: [76][2210/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.6071 (1.6610)	Prec@1 54.500 (55.452)	Prec@5 85.000 (84.076)
Epoch: [76][2220/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.7767 (1.6611)	Prec@1 48.500 (55.448)	Prec@5 84.000 (84.079)
Epoch: [76][2230/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.6521 (1.6612)	Prec@1 54.500 (55.448)	Prec@5 84.000 (84.079)
Epoch: [76][2240/9018]	Time 0.600 (0.622)	Data 0.010 (0.003)	Loss 1.6569 (1.6612)	Prec@1 56.000 (55.447)	Prec@5 81.500 (84.082)
Epoch: [76][2250/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.5710 (1.6613)	Prec@1 57.500 (55.442)	Prec@5 82.000 (84.082)
Epoch: [76][2260/9018]	Time 0.599 (0.622)	Data 0.005 (0.003)	Loss 1.6413 (1.6610)	Prec@1 50.500 (55.447)	Prec@5 82.500 (84.084)
Epoch: [76][2270/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.5879 (1.6610)	Prec@1 58.000 (55.455)	Prec@5 83.500 (84.085)
Epoch: [76][2280/9018]	Time 0.646 (0.622)	Data 0.001 (0.003)	Loss 1.6698 (1.6610)	Prec@1 54.000 (55.455)	Prec@5 85.500 (84.085)
Epoch: [76][2290/9018]	Time 0.617 (0.622)	Data 0.016 (0.003)	Loss 1.7280 (1.6611)	Prec@1 54.500 (55.455)	Prec@5 83.000 (84.081)
Epoch: [76][2300/9018]	Time 0.643 (0.622)	Data 0.013 (0.003)	Loss 1.4831 (1.6610)	Prec@1 56.000 (55.452)	Prec@5 87.500 (84.080)
Epoch: [76][2310/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.5485 (1.6612)	Prec@1 54.000 (55.444)	Prec@5 86.000 (84.074)
Epoch: [76][2320/9018]	Time 0.769 (0.622)	Data 0.001 (0.003)	Loss 1.4404 (1.6612)	Prec@1 58.500 (55.443)	Prec@5 89.000 (84.075)
Epoch: [76][2330/9018]	Time 0.625 (0.622)	Data 0.001 (0.003)	Loss 1.5371 (1.6614)	Prec@1 57.500 (55.447)	Prec@5 90.000 (84.074)
Epoch: [76][2340/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7058 (1.6616)	Prec@1 54.500 (55.445)	Prec@5 83.500 (84.070)
Epoch: [76][2350/9018]	Time 0.592 (0.622)	Data 0.001 (0.003)	Loss 1.6974 (1.6615)	Prec@1 51.000 (55.448)	Prec@5 82.000 (84.072)
Epoch: [76][2360/9018]	Time 0.609 (0.622)	Data 0.001 (0.003)	Loss 1.7120 (1.6617)	Prec@1 58.000 (55.445)	Prec@5 83.000 (84.069)
Epoch: [76][2370/9018]	Time 0.717 (0.622)	Data 0.014 (0.003)	Loss 1.5313 (1.6620)	Prec@1 60.000 (55.439)	Prec@5 86.000 (84.064)
Epoch: [76][2380/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.9365 (1.6623)	Prec@1 52.000 (55.430)	Prec@5 78.500 (84.058)
Epoch: [76][2390/9018]	Time 0.633 (0.622)	Data 0.001 (0.003)	Loss 1.8358 (1.6622)	Prec@1 51.000 (55.426)	Prec@5 83.500 (84.064)
Epoch: [76][2400/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.5528 (1.6622)	Prec@1 58.000 (55.424)	Prec@5 88.500 (84.063)
Epoch: [76][2410/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.6969 (1.6623)	Prec@1 53.500 (55.423)	Prec@5 84.500 (84.059)
Epoch: [76][2420/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.6043 (1.6623)	Prec@1 57.000 (55.422)	Prec@5 86.500 (84.059)
Epoch: [76][2430/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.7605 (1.6622)	Prec@1 51.000 (55.420)	Prec@5 82.000 (84.060)
Epoch: [76][2440/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.6141 (1.6622)	Prec@1 56.500 (55.424)	Prec@5 85.500 (84.060)
Epoch: [76][2450/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.5030 (1.6622)	Prec@1 58.000 (55.424)	Prec@5 87.000 (84.064)
Epoch: [76][2460/9018]	Time 0.614 (0.622)	Data 0.003 (0.003)	Loss 1.8402 (1.6622)	Prec@1 52.000 (55.421)	Prec@5 80.500 (84.061)
Epoch: [76][2470/9018]	Time 0.610 (0.622)	Data 0.015 (0.003)	Loss 1.2918 (1.6622)	Prec@1 62.000 (55.418)	Prec@5 91.500 (84.061)
Epoch: [76][2480/9018]	Time 0.600 (0.622)	Data 0.010 (0.003)	Loss 1.8104 (1.6622)	Prec@1 54.500 (55.423)	Prec@5 81.000 (84.057)
Epoch: [76][2490/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.6469 (1.6624)	Prec@1 55.000 (55.415)	Prec@5 87.500 (84.056)
Epoch: [76][2500/9018]	Time 0.608 (0.622)	Data 0.012 (0.003)	Loss 1.5088 (1.6624)	Prec@1 60.000 (55.418)	Prec@5 87.000 (84.058)
Epoch: [76][2510/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7169 (1.6624)	Prec@1 53.500 (55.413)	Prec@5 82.500 (84.060)
Epoch: [76][2520/9018]	Time 0.637 (0.622)	Data 0.015 (0.003)	Loss 1.6057 (1.6621)	Prec@1 61.000 (55.422)	Prec@5 84.000 (84.060)
Epoch: [76][2530/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.6056 (1.6622)	Prec@1 56.500 (55.421)	Prec@5 85.500 (84.057)
Epoch: [76][2540/9018]	Time 0.620 (0.622)	Data 0.001 (0.003)	Loss 1.5352 (1.6623)	Prec@1 57.500 (55.419)	Prec@5 86.000 (84.057)
Epoch: [76][2550/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.7637 (1.6625)	Prec@1 53.500 (55.415)	Prec@5 83.000 (84.055)
Epoch: [76][2560/9018]	Time 0.661 (0.622)	Data 0.001 (0.003)	Loss 1.8162 (1.6627)	Prec@1 53.500 (55.414)	Prec@5 84.000 (84.052)
Epoch: [76][2570/9018]	Time 0.606 (0.623)	Data 0.015 (0.003)	Loss 1.6472 (1.6627)	Prec@1 55.000 (55.412)	Prec@5 88.500 (84.053)
Epoch: [76][2580/9018]	Time 0.617 (0.622)	Data 0.016 (0.003)	Loss 1.6918 (1.6628)	Prec@1 59.500 (55.412)	Prec@5 81.000 (84.052)
Epoch: [76][2590/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.7646 (1.6630)	Prec@1 50.000 (55.401)	Prec@5 83.500 (84.048)
Epoch: [76][2600/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.5125 (1.6630)	Prec@1 56.000 (55.399)	Prec@5 86.000 (84.047)
Epoch: [76][2610/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.6194 (1.6627)	Prec@1 58.500 (55.408)	Prec@5 80.500 (84.051)
Epoch: [76][2620/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6421 (1.6627)	Prec@1 59.500 (55.407)	Prec@5 85.500 (84.051)
Epoch: [76][2630/9018]	Time 0.646 (0.623)	Data 0.001 (0.003)	Loss 1.7671 (1.6627)	Prec@1 54.000 (55.405)	Prec@5 86.500 (84.053)
Epoch: [76][2640/9018]	Time 0.630 (0.623)	Data 0.016 (0.003)	Loss 1.5331 (1.6628)	Prec@1 58.000 (55.406)	Prec@5 86.500 (84.054)
Epoch: [76][2650/9018]	Time 0.750 (0.623)	Data 0.001 (0.003)	Loss 1.8191 (1.6628)	Prec@1 48.500 (55.406)	Prec@5 81.500 (84.057)
Epoch: [76][2660/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6337 (1.6628)	Prec@1 52.500 (55.399)	Prec@5 86.000 (84.057)
Epoch: [76][2670/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.4970 (1.6629)	Prec@1 58.500 (55.396)	Prec@5 87.500 (84.055)
Epoch: [76][2680/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7864 (1.6630)	Prec@1 54.500 (55.392)	Prec@5 82.000 (84.054)
Epoch: [76][2690/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7239 (1.6633)	Prec@1 55.500 (55.386)	Prec@5 81.500 (84.049)
Epoch: [76][2700/9018]	Time 0.738 (0.623)	Data 0.001 (0.003)	Loss 1.6227 (1.6632)	Prec@1 53.000 (55.383)	Prec@5 85.000 (84.050)
Epoch: [76][2710/9018]	Time 0.622 (0.623)	Data 0.001 (0.003)	Loss 1.6788 (1.6633)	Prec@1 53.000 (55.387)	Prec@5 83.500 (84.048)
Epoch: [76][2720/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.7504 (1.6634)	Prec@1 53.500 (55.388)	Prec@5 82.000 (84.043)
Epoch: [76][2730/9018]	Time 0.639 (0.623)	Data 0.001 (0.003)	Loss 1.7352 (1.6634)	Prec@1 54.000 (55.387)	Prec@5 83.500 (84.044)
Epoch: [76][2740/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7495 (1.6636)	Prec@1 52.500 (55.377)	Prec@5 84.500 (84.042)
Epoch: [76][2750/9018]	Time 0.640 (0.623)	Data 0.001 (0.003)	Loss 1.7252 (1.6636)	Prec@1 61.000 (55.378)	Prec@5 80.500 (84.043)
Epoch: [76][2760/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.6141 (1.6634)	Prec@1 54.500 (55.379)	Prec@5 84.500 (84.047)
Epoch: [76][2770/9018]	Time 0.607 (0.623)	Data 0.001 (0.003)	Loss 1.6959 (1.6632)	Prec@1 55.500 (55.389)	Prec@5 83.000 (84.048)
Epoch: [76][2780/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.7343 (1.6633)	Prec@1 52.500 (55.387)	Prec@5 86.500 (84.047)
Epoch: [76][2790/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.7722 (1.6632)	Prec@1 52.000 (55.388)	Prec@5 82.500 (84.050)
Epoch: [76][2800/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6314 (1.6632)	Prec@1 53.500 (55.387)	Prec@5 85.000 (84.052)
Epoch: [76][2810/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6656 (1.6633)	Prec@1 56.500 (55.384)	Prec@5 84.000 (84.049)
Epoch: [76][2820/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.7896 (1.6634)	Prec@1 54.000 (55.379)	Prec@5 84.500 (84.048)
Epoch: [76][2830/9018]	Time 0.611 (0.623)	Data 0.001 (0.003)	Loss 1.5176 (1.6637)	Prec@1 56.500 (55.374)	Prec@5 87.500 (84.048)
Epoch: [76][2840/9018]	Time 0.601 (0.623)	Data 0.009 (0.003)	Loss 1.5670 (1.6638)	Prec@1 55.500 (55.373)	Prec@5 89.000 (84.050)
Epoch: [76][2850/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.5368 (1.6636)	Prec@1 57.500 (55.376)	Prec@5 86.500 (84.053)
Epoch: [76][2860/9018]	Time 0.615 (0.623)	Data 0.016 (0.003)	Loss 1.7660 (1.6638)	Prec@1 54.000 (55.377)	Prec@5 82.500 (84.050)
Epoch: [76][2870/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.5578 (1.6638)	Prec@1 59.500 (55.376)	Prec@5 84.000 (84.050)
Epoch: [76][2880/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8159 (1.6640)	Prec@1 54.500 (55.368)	Prec@5 81.500 (84.048)
Epoch: [76][2890/9018]	Time 0.618 (0.623)	Data 0.014 (0.003)	Loss 1.5264 (1.6638)	Prec@1 58.000 (55.372)	Prec@5 86.500 (84.050)
Epoch: [76][2900/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.4754 (1.6636)	Prec@1 56.000 (55.376)	Prec@5 86.000 (84.053)
Epoch: [76][2910/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6046 (1.6636)	Prec@1 57.000 (55.376)	Prec@5 83.000 (84.053)
Epoch: [76][2920/9018]	Time 0.658 (0.623)	Data 0.001 (0.003)	Loss 1.8047 (1.6635)	Prec@1 54.000 (55.380)	Prec@5 84.500 (84.054)
Epoch: [76][2930/9018]	Time 0.646 (0.623)	Data 0.028 (0.003)	Loss 1.6899 (1.6635)	Prec@1 53.500 (55.380)	Prec@5 83.500 (84.054)
Epoch: [76][2940/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.7917 (1.6632)	Prec@1 53.500 (55.386)	Prec@5 80.000 (84.061)
Epoch: [76][2950/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.6144 (1.6635)	Prec@1 55.500 (55.382)	Prec@5 85.000 (84.056)
Epoch: [76][2960/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6264 (1.6638)	Prec@1 56.000 (55.374)	Prec@5 86.000 (84.055)
Epoch: [76][2970/9018]	Time 0.616 (0.623)	Data 0.001 (0.003)	Loss 1.7590 (1.6638)	Prec@1 54.500 (55.373)	Prec@5 82.500 (84.057)
Epoch: [76][2980/9018]	Time 0.716 (0.623)	Data 0.001 (0.003)	Loss 1.6617 (1.6637)	Prec@1 57.500 (55.372)	Prec@5 85.000 (84.060)
Epoch: [76][2990/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6575 (1.6640)	Prec@1 54.000 (55.366)	Prec@5 83.000 (84.058)
Epoch: [76][3000/9018]	Time 0.612 (0.623)	Data 0.016 (0.003)	Loss 1.8728 (1.6642)	Prec@1 53.000 (55.359)	Prec@5 81.500 (84.055)
Epoch: [76][3010/9018]	Time 0.650 (0.623)	Data 0.001 (0.003)	Loss 1.6834 (1.6643)	Prec@1 54.000 (55.354)	Prec@5 86.000 (84.057)
Epoch: [76][3020/9018]	Time 0.637 (0.623)	Data 0.001 (0.003)	Loss 1.5840 (1.6641)	Prec@1 56.000 (55.357)	Prec@5 85.000 (84.059)
Epoch: [76][3030/9018]	Time 0.735 (0.623)	Data 0.014 (0.003)	Loss 1.7806 (1.6642)	Prec@1 53.500 (55.357)	Prec@5 83.000 (84.059)
Epoch: [76][3040/9018]	Time 0.615 (0.623)	Data 0.004 (0.003)	Loss 1.5585 (1.6642)	Prec@1 61.500 (55.357)	Prec@5 85.500 (84.058)
Epoch: [76][3050/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.6157 (1.6641)	Prec@1 58.000 (55.363)	Prec@5 89.000 (84.059)
Epoch: [76][3060/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.5945 (1.6642)	Prec@1 58.000 (55.358)	Prec@5 84.500 (84.061)
Epoch: [76][3070/9018]	Time 0.634 (0.623)	Data 0.001 (0.003)	Loss 1.5757 (1.6644)	Prec@1 59.000 (55.356)	Prec@5 88.000 (84.060)
Epoch: [76][3080/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.6980 (1.6645)	Prec@1 54.000 (55.352)	Prec@5 82.000 (84.061)
Epoch: [76][3090/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7434 (1.6646)	Prec@1 51.000 (55.351)	Prec@5 81.500 (84.058)
Epoch: [76][3100/9018]	Time 0.606 (0.623)	Data 0.014 (0.003)	Loss 1.6751 (1.6647)	Prec@1 54.500 (55.352)	Prec@5 82.000 (84.055)
Epoch: [76][3110/9018]	Time 0.606 (0.623)	Data 0.013 (0.003)	Loss 1.7208 (1.6647)	Prec@1 52.000 (55.350)	Prec@5 82.000 (84.054)
Epoch: [76][3120/9018]	Time 0.603 (0.623)	Data 0.001 (0.003)	Loss 1.8645 (1.6650)	Prec@1 48.500 (55.345)	Prec@5 81.500 (84.049)
Epoch: [76][3130/9018]	Time 0.601 (0.623)	Data 0.001 (0.003)	Loss 1.8542 (1.6651)	Prec@1 51.500 (55.341)	Prec@5 82.000 (84.047)
Epoch: [76][3140/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.5976 (1.6650)	Prec@1 58.500 (55.345)	Prec@5 83.500 (84.046)
Epoch: [76][3150/9018]	Time 0.638 (0.623)	Data 0.001 (0.003)	Loss 1.5575 (1.6649)	Prec@1 60.000 (55.352)	Prec@5 87.500 (84.044)
Epoch: [76][3160/9018]	Time 0.631 (0.623)	Data 0.001 (0.003)	Loss 1.8307 (1.6649)	Prec@1 48.500 (55.347)	Prec@5 81.500 (84.044)
Epoch: [76][3170/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.6439 (1.6649)	Prec@1 59.000 (55.347)	Prec@5 83.500 (84.046)
Epoch: [76][3180/9018]	Time 0.620 (0.623)	Data 0.014 (0.003)	Loss 1.6075 (1.6649)	Prec@1 57.000 (55.347)	Prec@5 85.500 (84.046)
Epoch: [76][3190/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.7724 (1.6650)	Prec@1 52.000 (55.346)	Prec@5 84.500 (84.045)
Epoch: [76][3200/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.6341 (1.6648)	Prec@1 58.000 (55.352)	Prec@5 85.000 (84.050)
Epoch: [76][3210/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.8893 (1.6648)	Prec@1 49.500 (55.348)	Prec@5 79.000 (84.049)
Epoch: [76][3220/9018]	Time 0.641 (0.623)	Data 0.001 (0.003)	Loss 1.6254 (1.6647)	Prec@1 57.000 (55.353)	Prec@5 82.500 (84.051)
Epoch: [76][3230/9018]	Time 0.618 (0.623)	Data 0.001 (0.003)	Loss 1.6595 (1.6651)	Prec@1 51.500 (55.345)	Prec@5 87.500 (84.044)
Epoch: [76][3240/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.6559 (1.6652)	Prec@1 57.000 (55.345)	Prec@5 83.000 (84.042)
Epoch: [76][3250/9018]	Time 0.612 (0.623)	Data 0.003 (0.003)	Loss 1.6902 (1.6651)	Prec@1 56.000 (55.346)	Prec@5 84.500 (84.044)
Epoch: [76][3260/9018]	Time 0.596 (0.623)	Data 0.001 (0.003)	Loss 1.7694 (1.6653)	Prec@1 53.500 (55.344)	Prec@5 81.000 (84.040)
Epoch: [76][3270/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7842 (1.6656)	Prec@1 54.000 (55.342)	Prec@5 81.500 (84.033)
Epoch: [76][3280/9018]	Time 0.649 (0.623)	Data 0.001 (0.003)	Loss 1.7472 (1.6654)	Prec@1 54.000 (55.346)	Prec@5 82.500 (84.038)
Epoch: [76][3290/9018]	Time 0.632 (0.623)	Data 0.001 (0.003)	Loss 1.7661 (1.6655)	Prec@1 54.000 (55.345)	Prec@5 79.500 (84.038)
Epoch: [76][3300/9018]	Time 0.602 (0.623)	Data 0.001 (0.003)	Loss 1.7334 (1.6654)	Prec@1 51.500 (55.344)	Prec@5 82.000 (84.039)
Epoch: [76][3310/9018]	Time 0.737 (0.623)	Data 0.001 (0.003)	Loss 1.5004 (1.6653)	Prec@1 53.000 (55.341)	Prec@5 88.000 (84.043)
Epoch: [76][3320/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.5624 (1.6652)	Prec@1 57.000 (55.342)	Prec@5 84.500 (84.044)
Epoch: [76][3330/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.6651 (1.6650)	Prec@1 56.000 (55.350)	Prec@5 83.000 (84.047)
Epoch: [76][3340/9018]	Time 0.605 (0.623)	Data 0.001 (0.003)	Loss 1.7520 (1.6650)	Prec@1 52.000 (55.351)	Prec@5 82.500 (84.048)
Epoch: [76][3350/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.8353 (1.6651)	Prec@1 50.500 (55.346)	Prec@5 79.500 (84.047)
Epoch: [76][3360/9018]	Time 0.768 (0.623)	Data 0.017 (0.003)	Loss 1.9548 (1.6652)	Prec@1 47.500 (55.345)	Prec@5 79.000 (84.044)
Epoch: [76][3370/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.8208 (1.6650)	Prec@1 52.500 (55.350)	Prec@5 81.000 (84.046)
Epoch: [76][3380/9018]	Time 0.636 (0.623)	Data 0.013 (0.003)	Loss 1.6660 (1.6650)	Prec@1 53.500 (55.347)	Prec@5 83.500 (84.047)
Epoch: [76][3390/9018]	Time 0.649 (0.623)	Data 0.001 (0.003)	Loss 1.7062 (1.6649)	Prec@1 56.000 (55.352)	Prec@5 80.000 (84.050)
Epoch: [76][3400/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.6424 (1.6648)	Prec@1 52.000 (55.352)	Prec@5 86.500 (84.051)
Epoch: [76][3410/9018]	Time 0.627 (0.623)	Data 0.001 (0.003)	Loss 1.7182 (1.6649)	Prec@1 51.000 (55.347)	Prec@5 83.500 (84.050)
Epoch: [76][3420/9018]	Time 0.630 (0.623)	Data 0.014 (0.003)	Loss 1.5902 (1.6648)	Prec@1 56.500 (55.352)	Prec@5 83.500 (84.048)
Epoch: [76][3430/9018]	Time 0.629 (0.623)	Data 0.001 (0.003)	Loss 1.7223 (1.6648)	Prec@1 54.000 (55.350)	Prec@5 86.500 (84.051)
Epoch: [76][3440/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.8868 (1.6648)	Prec@1 51.000 (55.354)	Prec@5 83.000 (84.050)
Epoch: [76][3450/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.5974 (1.6648)	Prec@1 55.500 (55.354)	Prec@5 88.000 (84.051)
Epoch: [76][3460/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.5803 (1.6649)	Prec@1 55.000 (55.349)	Prec@5 89.000 (84.051)
Epoch: [76][3470/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.8054 (1.6648)	Prec@1 50.500 (55.349)	Prec@5 82.500 (84.053)
Epoch: [76][3480/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.5347 (1.6648)	Prec@1 56.000 (55.349)	Prec@5 85.500 (84.052)
Epoch: [76][3490/9018]	Time 0.683 (0.623)	Data 0.001 (0.003)	Loss 1.5446 (1.6649)	Prec@1 56.500 (55.345)	Prec@5 87.500 (84.051)
Epoch: [76][3500/9018]	Time 0.609 (0.623)	Data 0.001 (0.003)	Loss 1.8270 (1.6650)	Prec@1 51.500 (55.339)	Prec@5 81.000 (84.050)
Epoch: [76][3510/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.3722 (1.6650)	Prec@1 64.000 (55.340)	Prec@5 90.000 (84.049)
Epoch: [76][3520/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.4690 (1.6650)	Prec@1 58.000 (55.343)	Prec@5 87.000 (84.047)
Epoch: [76][3530/9018]	Time 0.630 (0.623)	Data 0.001 (0.003)	Loss 1.8620 (1.6651)	Prec@1 49.000 (55.340)	Prec@5 82.000 (84.046)
Epoch: [76][3540/9018]	Time 0.610 (0.623)	Data 0.014 (0.003)	Loss 1.6359 (1.6650)	Prec@1 56.500 (55.342)	Prec@5 82.000 (84.048)
Epoch: [76][3550/9018]	Time 0.610 (0.623)	Data 0.001 (0.003)	Loss 1.8311 (1.6650)	Prec@1 53.500 (55.346)	Prec@5 78.500 (84.046)
Epoch: [76][3560/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.7007 (1.6649)	Prec@1 53.500 (55.346)	Prec@5 83.500 (84.047)
Epoch: [76][3570/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.6051 (1.6649)	Prec@1 56.500 (55.349)	Prec@5 86.500 (84.047)
Epoch: [76][3580/9018]	Time 0.627 (0.623)	Data 0.002 (0.003)	Loss 1.5084 (1.6650)	Prec@1 58.000 (55.347)	Prec@5 89.000 (84.048)
Epoch: [76][3590/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.7100 (1.6650)	Prec@1 51.000 (55.342)	Prec@5 85.500 (84.047)
Epoch: [76][3600/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7723 (1.6650)	Prec@1 51.000 (55.344)	Prec@5 82.000 (84.046)
Epoch: [76][3610/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.6119 (1.6649)	Prec@1 59.000 (55.351)	Prec@5 83.500 (84.046)
Epoch: [76][3620/9018]	Time 0.610 (0.623)	Data 0.016 (0.003)	Loss 1.5345 (1.6649)	Prec@1 54.000 (55.347)	Prec@5 88.500 (84.044)
Epoch: [76][3630/9018]	Time 0.621 (0.623)	Data 0.001 (0.003)	Loss 1.7282 (1.6649)	Prec@1 56.500 (55.349)	Prec@5 82.500 (84.045)
Epoch: [76][3640/9018]	Time 0.804 (0.623)	Data 0.001 (0.003)	Loss 1.5743 (1.6647)	Prec@1 58.500 (55.349)	Prec@5 87.000 (84.048)
Epoch: [76][3650/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.7182 (1.6647)	Prec@1 53.000 (55.351)	Prec@5 83.500 (84.051)
Epoch: [76][3660/9018]	Time 0.604 (0.623)	Data 0.001 (0.003)	Loss 1.4972 (1.6647)	Prec@1 62.000 (55.350)	Prec@5 85.000 (84.050)
Epoch: [76][3670/9018]	Time 0.633 (0.623)	Data 0.001 (0.003)	Loss 1.5416 (1.6648)	Prec@1 58.000 (55.347)	Prec@5 85.000 (84.048)
Epoch: [76][3680/9018]	Time 0.626 (0.623)	Data 0.001 (0.003)	Loss 1.6275 (1.6649)	Prec@1 53.500 (55.347)	Prec@5 86.000 (84.047)
Epoch: [76][3690/9018]	Time 0.738 (0.623)	Data 0.001 (0.003)	Loss 1.6670 (1.6649)	Prec@1 58.500 (55.346)	Prec@5 81.500 (84.046)
Epoch: [76][3700/9018]	Time 0.608 (0.623)	Data 0.001 (0.003)	Loss 1.9792 (1.6652)	Prec@1 49.000 (55.339)	Prec@5 79.000 (84.040)
Epoch: [76][3710/9018]	Time 0.625 (0.623)	Data 0.001 (0.003)	Loss 1.8102 (1.6653)	Prec@1 53.500 (55.335)	Prec@5 82.000 (84.037)
Epoch: [76][3720/9018]	Time 0.595 (0.623)	Data 0.001 (0.003)	Loss 1.7951 (1.6654)	Prec@1 53.500 (55.331)	Prec@5 80.500 (84.037)
Epoch: [76][3730/9018]	Time 0.598 (0.623)	Data 0.001 (0.003)	Loss 1.7602 (1.6654)	Prec@1 52.000 (55.332)	Prec@5 84.500 (84.036)
Epoch: [76][3740/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.6779 (1.6655)	Prec@1 54.000 (55.327)	Prec@5 84.500 (84.033)
Epoch: [76][3750/9018]	Time 0.617 (0.623)	Data 0.001 (0.003)	Loss 1.8109 (1.6655)	Prec@1 48.000 (55.323)	Prec@5 82.500 (84.035)
Epoch: [76][3760/9018]	Time 0.615 (0.623)	Data 0.001 (0.003)	Loss 1.5201 (1.6653)	Prec@1 57.000 (55.323)	Prec@5 89.000 (84.040)
Epoch: [76][3770/9018]	Time 0.614 (0.623)	Data 0.005 (0.003)	Loss 1.6784 (1.6654)	Prec@1 56.500 (55.320)	Prec@5 84.000 (84.041)
Epoch: [76][3780/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.8776 (1.6654)	Prec@1 52.500 (55.317)	Prec@5 80.000 (84.043)
Epoch: [76][3790/9018]	Time 0.656 (0.623)	Data 0.001 (0.003)	Loss 1.5722 (1.6654)	Prec@1 60.000 (55.317)	Prec@5 87.500 (84.042)
Epoch: [76][3800/9018]	Time 0.599 (0.623)	Data 0.001 (0.003)	Loss 1.9438 (1.6656)	Prec@1 49.500 (55.313)	Prec@5 80.000 (84.039)
Epoch: [76][3810/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6579 (1.6656)	Prec@1 56.000 (55.314)	Prec@5 85.500 (84.040)
Epoch: [76][3820/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.4171 (1.6656)	Prec@1 56.000 (55.310)	Prec@5 88.000 (84.039)
Epoch: [76][3830/9018]	Time 0.606 (0.624)	Data 0.012 (0.003)	Loss 1.5952 (1.6658)	Prec@1 59.000 (55.308)	Prec@5 86.000 (84.036)
Epoch: [76][3840/9018]	Time 0.610 (0.624)	Data 0.014 (0.003)	Loss 1.5414 (1.6658)	Prec@1 58.000 (55.308)	Prec@5 86.500 (84.035)
Epoch: [76][3850/9018]	Time 0.624 (0.623)	Data 0.001 (0.003)	Loss 1.7148 (1.6659)	Prec@1 54.500 (55.307)	Prec@5 83.500 (84.035)
Epoch: [76][3860/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.8234 (1.6662)	Prec@1 52.000 (55.299)	Prec@5 82.000 (84.033)
Epoch: [76][3870/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.6432 (1.6661)	Prec@1 53.500 (55.298)	Prec@5 82.500 (84.035)
Epoch: [76][3880/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.8158 (1.6662)	Prec@1 50.000 (55.295)	Prec@5 82.500 (84.035)
Epoch: [76][3890/9018]	Time 0.635 (0.624)	Data 0.001 (0.003)	Loss 1.8985 (1.6661)	Prec@1 46.500 (55.296)	Prec@5 85.000 (84.037)
Epoch: [76][3900/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.5374 (1.6658)	Prec@1 58.000 (55.306)	Prec@5 88.000 (84.042)
Epoch: [76][3910/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.3808 (1.6657)	Prec@1 61.500 (55.307)	Prec@5 91.000 (84.044)
Epoch: [76][3920/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.6745 (1.6657)	Prec@1 56.500 (55.309)	Prec@5 87.500 (84.044)
Epoch: [76][3930/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.7150 (1.6658)	Prec@1 52.000 (55.305)	Prec@5 82.000 (84.041)
Epoch: [76][3940/9018]	Time 0.599 (0.624)	Data 0.004 (0.003)	Loss 1.7643 (1.6658)	Prec@1 50.500 (55.301)	Prec@5 83.500 (84.041)
Epoch: [76][3950/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.5453 (1.6659)	Prec@1 61.000 (55.299)	Prec@5 84.000 (84.041)
Epoch: [76][3960/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.6011 (1.6658)	Prec@1 58.000 (55.299)	Prec@5 83.000 (84.041)
Epoch: [76][3970/9018]	Time 0.758 (0.624)	Data 0.001 (0.003)	Loss 1.8314 (1.6659)	Prec@1 54.500 (55.297)	Prec@5 82.000 (84.037)
Epoch: [76][3980/9018]	Time 0.618 (0.624)	Data 0.014 (0.003)	Loss 1.7290 (1.6659)	Prec@1 56.500 (55.297)	Prec@5 83.000 (84.038)
Epoch: [76][3990/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.6908 (1.6659)	Prec@1 47.500 (55.296)	Prec@5 84.500 (84.038)
Epoch: [76][4000/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.4875 (1.6658)	Prec@1 62.500 (55.301)	Prec@5 87.500 (84.039)
Epoch: [76][4010/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 1.8538 (1.6658)	Prec@1 52.500 (55.301)	Prec@5 81.500 (84.037)
Epoch: [76][4020/9018]	Time 0.779 (0.624)	Data 0.001 (0.003)	Loss 1.8736 (1.6660)	Prec@1 50.500 (55.301)	Prec@5 82.000 (84.032)
Epoch: [76][4030/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.9129 (1.6660)	Prec@1 53.500 (55.301)	Prec@5 80.500 (84.033)
Epoch: [76][4040/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.6508 (1.6660)	Prec@1 57.500 (55.300)	Prec@5 84.000 (84.035)
Epoch: [76][4050/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.8451 (1.6660)	Prec@1 46.000 (55.298)	Prec@5 81.500 (84.037)
Epoch: [76][4060/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.6453 (1.6659)	Prec@1 54.000 (55.298)	Prec@5 86.500 (84.039)
Epoch: [76][4070/9018]	Time 0.649 (0.624)	Data 0.001 (0.003)	Loss 1.6210 (1.6659)	Prec@1 62.500 (55.302)	Prec@5 86.000 (84.040)
Epoch: [76][4080/9018]	Time 0.600 (0.624)	Data 0.010 (0.003)	Loss 1.6734 (1.6659)	Prec@1 56.500 (55.301)	Prec@5 84.000 (84.040)
Epoch: [76][4090/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.4852 (1.6660)	Prec@1 57.500 (55.296)	Prec@5 86.000 (84.037)
Epoch: [76][4100/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.6361 (1.6661)	Prec@1 52.000 (55.292)	Prec@5 82.500 (84.034)
Epoch: [76][4110/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.5343 (1.6661)	Prec@1 56.500 (55.293)	Prec@5 88.500 (84.034)
Epoch: [76][4120/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.5455 (1.6662)	Prec@1 59.500 (55.291)	Prec@5 86.000 (84.033)
Epoch: [76][4130/9018]	Time 0.617 (0.624)	Data 0.017 (0.003)	Loss 1.6922 (1.6663)	Prec@1 53.500 (55.291)	Prec@5 84.500 (84.030)
Epoch: [76][4140/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.5143 (1.6663)	Prec@1 56.500 (55.291)	Prec@5 85.500 (84.030)
Epoch: [76][4150/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.6040 (1.6663)	Prec@1 55.500 (55.290)	Prec@5 87.000 (84.030)
Epoch: [76][4160/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 1.7030 (1.6664)	Prec@1 54.500 (55.287)	Prec@5 81.500 (84.027)
Epoch: [76][4170/9018]	Time 0.622 (0.624)	Data 0.014 (0.003)	Loss 1.7023 (1.6663)	Prec@1 57.000 (55.286)	Prec@5 84.500 (84.029)
Epoch: [76][4180/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.6296 (1.6664)	Prec@1 58.000 (55.282)	Prec@5 83.000 (84.028)
Epoch: [76][4190/9018]	Time 0.613 (0.624)	Data 0.015 (0.003)	Loss 1.5769 (1.6664)	Prec@1 59.000 (55.282)	Prec@5 84.000 (84.028)
Epoch: [76][4200/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.7625 (1.6665)	Prec@1 57.000 (55.285)	Prec@5 82.000 (84.027)
Epoch: [76][4210/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.4806 (1.6664)	Prec@1 55.500 (55.285)	Prec@5 89.500 (84.030)
Epoch: [76][4220/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.7134 (1.6662)	Prec@1 54.500 (55.290)	Prec@5 84.000 (84.033)
Epoch: [76][4230/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.4057 (1.6661)	Prec@1 62.000 (55.295)	Prec@5 89.000 (84.036)
Epoch: [76][4240/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.6986 (1.6660)	Prec@1 54.500 (55.293)	Prec@5 85.000 (84.037)
Epoch: [76][4250/9018]	Time 0.643 (0.624)	Data 0.001 (0.003)	Loss 1.6109 (1.6659)	Prec@1 56.000 (55.294)	Prec@5 82.500 (84.038)
Epoch: [76][4260/9018]	Time 0.646 (0.624)	Data 0.001 (0.003)	Loss 1.7695 (1.6658)	Prec@1 51.500 (55.297)	Prec@5 85.000 (84.039)
Epoch: [76][4270/9018]	Time 0.644 (0.624)	Data 0.001 (0.003)	Loss 1.4269 (1.6658)	Prec@1 63.500 (55.297)	Prec@5 87.500 (84.040)
Epoch: [76][4280/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.8472 (1.6658)	Prec@1 51.500 (55.294)	Prec@5 83.500 (84.040)
Epoch: [76][4290/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.5220 (1.6657)	Prec@1 54.000 (55.293)	Prec@5 88.500 (84.042)
Epoch: [76][4300/9018]	Time 0.802 (0.624)	Data 0.015 (0.003)	Loss 1.7571 (1.6659)	Prec@1 51.000 (55.289)	Prec@5 84.500 (84.041)
Epoch: [76][4310/9018]	Time 0.631 (0.624)	Data 0.016 (0.003)	Loss 1.7133 (1.6659)	Prec@1 51.500 (55.285)	Prec@5 86.000 (84.039)
Epoch: [76][4320/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.6009 (1.6660)	Prec@1 59.500 (55.283)	Prec@5 83.000 (84.035)
Epoch: [76][4330/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 1.7034 (1.6661)	Prec@1 57.500 (55.285)	Prec@5 84.000 (84.034)
Epoch: [76][4340/9018]	Time 0.622 (0.624)	Data 0.015 (0.003)	Loss 1.8359 (1.6661)	Prec@1 52.000 (55.286)	Prec@5 79.500 (84.033)
Epoch: [76][4350/9018]	Time 0.732 (0.624)	Data 0.001 (0.003)	Loss 1.9231 (1.6662)	Prec@1 47.500 (55.282)	Prec@5 81.000 (84.031)
Epoch: [76][4360/9018]	Time 0.628 (0.624)	Data 0.004 (0.003)	Loss 1.6339 (1.6663)	Prec@1 56.500 (55.283)	Prec@5 84.000 (84.030)
Epoch: [76][4370/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.5322 (1.6661)	Prec@1 59.500 (55.286)	Prec@5 84.000 (84.031)
Epoch: [76][4380/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.6189 (1.6663)	Prec@1 60.000 (55.283)	Prec@5 85.500 (84.029)
Epoch: [76][4390/9018]	Time 0.638 (0.624)	Data 0.011 (0.003)	Loss 1.4263 (1.6662)	Prec@1 60.000 (55.285)	Prec@5 87.000 (84.031)
Epoch: [76][4400/9018]	Time 0.611 (0.624)	Data 0.007 (0.003)	Loss 1.5908 (1.6661)	Prec@1 56.500 (55.287)	Prec@5 85.000 (84.030)
Epoch: [76][4410/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.7782 (1.6663)	Prec@1 52.000 (55.281)	Prec@5 83.000 (84.027)
Epoch: [76][4420/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.5885 (1.6665)	Prec@1 56.000 (55.278)	Prec@5 89.000 (84.027)
Epoch: [76][4430/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.4653 (1.6664)	Prec@1 57.500 (55.277)	Prec@5 88.500 (84.028)
Epoch: [76][4440/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.7018 (1.6663)	Prec@1 54.000 (55.279)	Prec@5 83.000 (84.032)
Epoch: [76][4450/9018]	Time 0.638 (0.624)	Data 0.001 (0.003)	Loss 1.5930 (1.6664)	Prec@1 58.000 (55.278)	Prec@5 86.500 (84.030)
Epoch: [76][4460/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.6660 (1.6663)	Prec@1 53.000 (55.279)	Prec@5 83.500 (84.032)
Epoch: [76][4470/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.7197 (1.6664)	Prec@1 52.500 (55.279)	Prec@5 80.000 (84.028)
Epoch: [76][4480/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.7080 (1.6666)	Prec@1 57.500 (55.276)	Prec@5 85.000 (84.024)
Epoch: [76][4490/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.7427 (1.6667)	Prec@1 56.000 (55.275)	Prec@5 81.500 (84.022)
Epoch: [76][4500/9018]	Time 0.649 (0.624)	Data 0.016 (0.003)	Loss 1.5333 (1.6666)	Prec@1 57.500 (55.274)	Prec@5 84.500 (84.023)
Epoch: [76][4510/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 1.5421 (1.6666)	Prec@1 59.000 (55.277)	Prec@5 84.000 (84.022)
Epoch: [76][4520/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.7778 (1.6665)	Prec@1 57.000 (55.281)	Prec@5 82.000 (84.023)
Epoch: [76][4530/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.6242 (1.6665)	Prec@1 52.500 (55.279)	Prec@5 85.500 (84.023)
Epoch: [76][4540/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 2.0197 (1.6666)	Prec@1 46.500 (55.277)	Prec@5 78.500 (84.022)
Epoch: [76][4550/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.7315 (1.6667)	Prec@1 53.000 (55.277)	Prec@5 86.000 (84.020)
Epoch: [76][4560/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 1.6402 (1.6667)	Prec@1 56.000 (55.276)	Prec@5 85.500 (84.020)
Epoch: [76][4570/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.8465 (1.6668)	Prec@1 50.500 (55.272)	Prec@5 85.500 (84.018)
Epoch: [76][4580/9018]	Time 0.626 (0.624)	Data 0.016 (0.003)	Loss 1.7724 (1.6669)	Prec@1 52.000 (55.269)	Prec@5 82.000 (84.017)
Epoch: [76][4590/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.5470 (1.6668)	Prec@1 53.500 (55.272)	Prec@5 87.500 (84.021)
Epoch: [76][4600/9018]	Time 0.630 (0.624)	Data 0.026 (0.003)	Loss 1.6908 (1.6669)	Prec@1 50.000 (55.271)	Prec@5 87.500 (84.020)
Epoch: [76][4610/9018]	Time 0.621 (0.624)	Data 0.014 (0.003)	Loss 1.7966 (1.6670)	Prec@1 53.500 (55.266)	Prec@5 81.000 (84.019)
Epoch: [76][4620/9018]	Time 0.649 (0.624)	Data 0.001 (0.003)	Loss 1.7404 (1.6669)	Prec@1 54.000 (55.268)	Prec@5 81.500 (84.021)
Epoch: [76][4630/9018]	Time 0.761 (0.624)	Data 0.001 (0.003)	Loss 1.7884 (1.6669)	Prec@1 50.500 (55.268)	Prec@5 84.000 (84.021)
Epoch: [76][4640/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.7324 (1.6668)	Prec@1 52.500 (55.268)	Prec@5 83.500 (84.022)
Epoch: [76][4650/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.5356 (1.6667)	Prec@1 57.000 (55.271)	Prec@5 88.000 (84.026)
Epoch: [76][4660/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.7808 (1.6668)	Prec@1 52.500 (55.269)	Prec@5 81.000 (84.024)
Epoch: [76][4670/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.6483 (1.6666)	Prec@1 58.000 (55.270)	Prec@5 83.000 (84.026)
Epoch: [76][4680/9018]	Time 0.756 (0.624)	Data 0.001 (0.003)	Loss 1.7764 (1.6667)	Prec@1 49.500 (55.269)	Prec@5 83.500 (84.025)
Epoch: [76][4690/9018]	Time 0.634 (0.624)	Data 0.016 (0.003)	Loss 1.7975 (1.6669)	Prec@1 54.000 (55.267)	Prec@5 85.000 (84.022)
Epoch: [76][4700/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.6517 (1.6668)	Prec@1 58.000 (55.269)	Prec@5 81.000 (84.023)
Epoch: [76][4710/9018]	Time 0.609 (0.624)	Data 0.004 (0.003)	Loss 1.7336 (1.6668)	Prec@1 54.500 (55.273)	Prec@5 82.000 (84.025)
Epoch: [76][4720/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.5790 (1.6665)	Prec@1 56.500 (55.276)	Prec@5 85.500 (84.030)
Epoch: [76][4730/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.7725 (1.6666)	Prec@1 51.500 (55.275)	Prec@5 84.500 (84.027)
Epoch: [76][4740/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.6697 (1.6665)	Prec@1 57.000 (55.277)	Prec@5 83.000 (84.029)
Epoch: [76][4750/9018]	Time 0.618 (0.624)	Data 0.016 (0.003)	Loss 1.7100 (1.6666)	Prec@1 61.000 (55.278)	Prec@5 82.000 (84.027)
Epoch: [76][4760/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.6966 (1.6666)	Prec@1 56.500 (55.278)	Prec@5 81.500 (84.026)
Epoch: [76][4770/9018]	Time 0.645 (0.624)	Data 0.001 (0.003)	Loss 1.7334 (1.6665)	Prec@1 53.000 (55.279)	Prec@5 81.500 (84.024)
Epoch: [76][4780/9018]	Time 0.638 (0.624)	Data 0.001 (0.003)	Loss 1.5965 (1.6666)	Prec@1 58.000 (55.277)	Prec@5 84.000 (84.024)
Epoch: [76][4790/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.8238 (1.6668)	Prec@1 49.000 (55.275)	Prec@5 77.500 (84.020)
Epoch: [76][4800/9018]	Time 0.612 (0.624)	Data 0.015 (0.003)	Loss 1.5699 (1.6667)	Prec@1 59.000 (55.278)	Prec@5 85.000 (84.020)
Epoch: [76][4810/9018]	Time 0.618 (0.624)	Data 0.016 (0.003)	Loss 1.8821 (1.6668)	Prec@1 49.000 (55.276)	Prec@5 80.000 (84.014)
Epoch: [76][4820/9018]	Time 0.623 (0.624)	Data 0.016 (0.003)	Loss 1.7278 (1.6667)	Prec@1 51.500 (55.277)	Prec@5 84.000 (84.017)
Epoch: [76][4830/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.7417 (1.6668)	Prec@1 52.500 (55.276)	Prec@5 83.500 (84.015)
Epoch: [76][4840/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.6686 (1.6668)	Prec@1 56.000 (55.277)	Prec@5 79.000 (84.013)
Epoch: [76][4850/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.5912 (1.6669)	Prec@1 57.000 (55.273)	Prec@5 87.500 (84.012)
Epoch: [76][4860/9018]	Time 0.635 (0.624)	Data 0.001 (0.003)	Loss 1.8018 (1.6670)	Prec@1 50.500 (55.269)	Prec@5 82.000 (84.010)
Epoch: [76][4870/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.6150 (1.6670)	Prec@1 58.000 (55.271)	Prec@5 83.500 (84.010)
Epoch: [76][4880/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.6819 (1.6670)	Prec@1 51.000 (55.270)	Prec@5 85.500 (84.012)
Epoch: [76][4890/9018]	Time 0.618 (0.624)	Data 0.016 (0.003)	Loss 1.6599 (1.6671)	Prec@1 60.000 (55.270)	Prec@5 84.000 (84.012)
Epoch: [76][4900/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.7830 (1.6671)	Prec@1 54.500 (55.270)	Prec@5 80.000 (84.011)
Epoch: [76][4910/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.6897 (1.6672)	Prec@1 55.000 (55.269)	Prec@5 86.500 (84.011)
Epoch: [76][4920/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.5751 (1.6672)	Prec@1 58.000 (55.266)	Prec@5 85.000 (84.008)
Epoch: [76][4930/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.7566 (1.6674)	Prec@1 53.500 (55.263)	Prec@5 80.500 (84.006)
Epoch: [76][4940/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.8319 (1.6674)	Prec@1 53.000 (55.262)	Prec@5 80.000 (84.005)
Epoch: [76][4950/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.6960 (1.6674)	Prec@1 50.500 (55.261)	Prec@5 86.500 (84.005)
Epoch: [76][4960/9018]	Time 0.716 (0.624)	Data 0.001 (0.003)	Loss 1.6625 (1.6673)	Prec@1 52.500 (55.259)	Prec@5 84.000 (84.009)
Epoch: [76][4970/9018]	Time 0.622 (0.624)	Data 0.014 (0.003)	Loss 1.7790 (1.6674)	Prec@1 54.000 (55.258)	Prec@5 83.500 (84.008)
Epoch: [76][4980/9018]	Time 0.641 (0.624)	Data 0.015 (0.003)	Loss 1.7415 (1.6673)	Prec@1 56.000 (55.260)	Prec@5 78.500 (84.007)
Epoch: [76][4990/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.8014 (1.6673)	Prec@1 52.000 (55.259)	Prec@5 81.000 (84.009)
Epoch: [76][5000/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.8046 (1.6674)	Prec@1 51.000 (55.255)	Prec@5 81.000 (84.007)
Epoch: [76][5010/9018]	Time 0.761 (0.624)	Data 0.009 (0.003)	Loss 1.5051 (1.6673)	Prec@1 60.000 (55.256)	Prec@5 86.000 (84.010)
Epoch: [76][5020/9018]	Time 0.643 (0.624)	Data 0.001 (0.003)	Loss 1.4570 (1.6672)	Prec@1 58.500 (55.258)	Prec@5 88.500 (84.012)
Epoch: [76][5030/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 1.6988 (1.6671)	Prec@1 54.500 (55.262)	Prec@5 85.000 (84.015)
Epoch: [76][5040/9018]	Time 0.646 (0.624)	Data 0.001 (0.003)	Loss 1.6532 (1.6671)	Prec@1 55.500 (55.261)	Prec@5 83.500 (84.015)
Epoch: [76][5050/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.6191 (1.6670)	Prec@1 59.500 (55.265)	Prec@5 84.500 (84.015)
Epoch: [76][5060/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.5473 (1.6671)	Prec@1 57.500 (55.262)	Prec@5 83.500 (84.016)
Epoch: [76][5070/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.5438 (1.6671)	Prec@1 55.500 (55.259)	Prec@5 84.500 (84.014)
Epoch: [76][5080/9018]	Time 0.605 (0.624)	Data 0.002 (0.003)	Loss 1.6809 (1.6670)	Prec@1 54.000 (55.258)	Prec@5 84.000 (84.018)
Epoch: [76][5090/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.7198 (1.6670)	Prec@1 50.000 (55.258)	Prec@5 83.500 (84.017)
Epoch: [76][5100/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.5658 (1.6669)	Prec@1 56.500 (55.258)	Prec@5 87.500 (84.017)
Epoch: [76][5110/9018]	Time 0.643 (0.624)	Data 0.001 (0.003)	Loss 1.7395 (1.6670)	Prec@1 53.000 (55.253)	Prec@5 83.000 (84.017)
Epoch: [76][5120/9018]	Time 0.650 (0.624)	Data 0.016 (0.003)	Loss 1.5729 (1.6670)	Prec@1 59.000 (55.253)	Prec@5 84.500 (84.016)
Epoch: [76][5130/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.7832 (1.6670)	Prec@1 54.500 (55.252)	Prec@5 82.000 (84.018)
Epoch: [76][5140/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.7032 (1.6670)	Prec@1 59.000 (55.253)	Prec@5 81.500 (84.017)
Epoch: [76][5150/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.7390 (1.6672)	Prec@1 52.500 (55.248)	Prec@5 84.000 (84.016)
Epoch: [76][5160/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.5538 (1.6672)	Prec@1 59.000 (55.248)	Prec@5 84.500 (84.015)
Epoch: [76][5170/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.7381 (1.6672)	Prec@1 52.500 (55.246)	Prec@5 84.000 (84.015)
Epoch: [76][5180/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.4459 (1.6672)	Prec@1 61.500 (55.248)	Prec@5 86.500 (84.014)
Epoch: [76][5190/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.7213 (1.6673)	Prec@1 53.000 (55.245)	Prec@5 83.000 (84.012)
Epoch: [76][5200/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.5845 (1.6673)	Prec@1 60.500 (55.244)	Prec@5 85.500 (84.011)
Epoch: [76][5210/9018]	Time 0.610 (0.624)	Data 0.003 (0.003)	Loss 1.6862 (1.6674)	Prec@1 51.500 (55.241)	Prec@5 84.500 (84.011)
Epoch: [76][5220/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.6933 (1.6675)	Prec@1 56.000 (55.240)	Prec@5 82.500 (84.010)
Epoch: [76][5230/9018]	Time 0.604 (0.624)	Data 0.013 (0.003)	Loss 1.4787 (1.6674)	Prec@1 59.500 (55.242)	Prec@5 86.500 (84.013)
Epoch: [76][5240/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.7251 (1.6675)	Prec@1 54.500 (55.243)	Prec@5 80.500 (84.012)
Epoch: [76][5250/9018]	Time 0.595 (0.624)	Data 0.014 (0.003)	Loss 1.8092 (1.6676)	Prec@1 51.000 (55.243)	Prec@5 81.000 (84.011)
Epoch: [76][5260/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.4961 (1.6676)	Prec@1 57.000 (55.241)	Prec@5 87.000 (84.009)
Epoch: [76][5270/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6643 (1.6678)	Prec@1 54.500 (55.237)	Prec@5 84.500 (84.006)
Epoch: [76][5280/9018]	Time 0.608 (0.624)	Data 0.016 (0.003)	Loss 1.6813 (1.6678)	Prec@1 57.000 (55.236)	Prec@5 84.000 (84.004)
Epoch: [76][5290/9018]	Time 0.752 (0.624)	Data 0.001 (0.003)	Loss 1.5755 (1.6678)	Prec@1 56.500 (55.235)	Prec@5 85.000 (84.004)
Epoch: [76][5300/9018]	Time 0.619 (0.624)	Data 0.027 (0.003)	Loss 1.5312 (1.6679)	Prec@1 63.500 (55.235)	Prec@5 86.000 (84.004)
Epoch: [76][5310/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.9266 (1.6680)	Prec@1 52.000 (55.236)	Prec@5 80.000 (84.003)
Epoch: [76][5320/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 1.8113 (1.6680)	Prec@1 52.000 (55.237)	Prec@5 82.500 (84.003)
Epoch: [76][5330/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.4091 (1.6679)	Prec@1 61.000 (55.241)	Prec@5 88.500 (84.004)
Epoch: [76][5340/9018]	Time 0.729 (0.624)	Data 0.001 (0.003)	Loss 1.6966 (1.6679)	Prec@1 52.500 (55.241)	Prec@5 86.500 (84.006)
Epoch: [76][5350/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.5281 (1.6678)	Prec@1 56.000 (55.242)	Prec@5 86.500 (84.006)
Epoch: [76][5360/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.4996 (1.6678)	Prec@1 61.500 (55.244)	Prec@5 89.500 (84.009)
Epoch: [76][5370/9018]	Time 0.645 (0.624)	Data 0.001 (0.003)	Loss 1.6586 (1.6677)	Prec@1 57.000 (55.244)	Prec@5 88.000 (84.011)
Epoch: [76][5380/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.6533 (1.6677)	Prec@1 52.500 (55.247)	Prec@5 85.000 (84.011)
Epoch: [76][5390/9018]	Time 0.653 (0.624)	Data 0.001 (0.003)	Loss 1.4135 (1.6677)	Prec@1 60.500 (55.243)	Prec@5 88.000 (84.010)
Epoch: [76][5400/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.8755 (1.6679)	Prec@1 54.000 (55.241)	Prec@5 79.000 (84.008)
Epoch: [76][5410/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.6898 (1.6679)	Prec@1 53.500 (55.237)	Prec@5 83.000 (84.009)
Epoch: [76][5420/9018]	Time 0.619 (0.624)	Data 0.017 (0.003)	Loss 1.7836 (1.6679)	Prec@1 51.000 (55.234)	Prec@5 85.000 (84.009)
Epoch: [76][5430/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.5840 (1.6678)	Prec@1 57.500 (55.237)	Prec@5 86.500 (84.013)
Epoch: [76][5440/9018]	Time 0.659 (0.624)	Data 0.001 (0.003)	Loss 1.5513 (1.6678)	Prec@1 57.500 (55.235)	Prec@5 85.000 (84.012)
Epoch: [76][5450/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 1.6555 (1.6678)	Prec@1 54.000 (55.233)	Prec@5 84.500 (84.011)
Epoch: [76][5460/9018]	Time 0.602 (0.624)	Data 0.004 (0.003)	Loss 1.8511 (1.6679)	Prec@1 50.500 (55.235)	Prec@5 81.500 (84.011)
Epoch: [76][5470/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.5673 (1.6678)	Prec@1 64.000 (55.235)	Prec@5 80.000 (84.010)
Epoch: [76][5480/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.8243 (1.6678)	Prec@1 54.500 (55.236)	Prec@5 83.000 (84.010)
Epoch: [76][5490/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.9898 (1.6679)	Prec@1 47.500 (55.233)	Prec@5 76.500 (84.008)
Epoch: [76][5500/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.5856 (1.6680)	Prec@1 58.500 (55.231)	Prec@5 84.000 (84.006)
Epoch: [76][5510/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.6302 (1.6681)	Prec@1 56.500 (55.228)	Prec@5 85.500 (84.007)
Epoch: [76][5520/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.8261 (1.6682)	Prec@1 48.000 (55.225)	Prec@5 82.500 (84.005)
Epoch: [76][5530/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.6637 (1.6681)	Prec@1 53.000 (55.226)	Prec@5 86.500 (84.006)
Epoch: [76][5540/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.6135 (1.6682)	Prec@1 53.500 (55.227)	Prec@5 86.500 (84.005)
Epoch: [76][5550/9018]	Time 0.655 (0.624)	Data 0.014 (0.003)	Loss 1.7154 (1.6683)	Prec@1 53.000 (55.225)	Prec@5 83.500 (84.003)
Epoch: [76][5560/9018]	Time 0.635 (0.624)	Data 0.001 (0.003)	Loss 1.8262 (1.6684)	Prec@1 54.500 (55.224)	Prec@5 80.500 (84.002)
Epoch: [76][5570/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.7458 (1.6684)	Prec@1 52.000 (55.223)	Prec@5 81.500 (84.000)
Epoch: [76][5580/9018]	Time 0.587 (0.624)	Data 0.001 (0.003)	Loss 1.5485 (1.6684)	Prec@1 57.500 (55.223)	Prec@5 85.500 (84.001)
Epoch: [76][5590/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.6266 (1.6684)	Prec@1 61.500 (55.225)	Prec@5 81.500 (84.002)
Epoch: [76][5600/9018]	Time 0.611 (0.624)	Data 0.006 (0.003)	Loss 1.6661 (1.6685)	Prec@1 53.000 (55.223)	Prec@5 86.000 (84.001)
Epoch: [76][5610/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.5614 (1.6684)	Prec@1 57.000 (55.224)	Prec@5 86.500 (84.002)
Epoch: [76][5620/9018]	Time 0.747 (0.624)	Data 0.001 (0.003)	Loss 1.5283 (1.6684)	Prec@1 58.500 (55.227)	Prec@5 87.500 (84.003)
Epoch: [76][5630/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.6212 (1.6683)	Prec@1 57.500 (55.227)	Prec@5 83.500 (84.004)
Epoch: [76][5640/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.6497 (1.6682)	Prec@1 57.500 (55.228)	Prec@5 85.500 (84.007)
Epoch: [76][5650/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6556 (1.6683)	Prec@1 59.500 (55.227)	Prec@5 84.500 (84.007)
Epoch: [76][5660/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.6770 (1.6684)	Prec@1 54.000 (55.224)	Prec@5 84.000 (84.004)
Epoch: [76][5670/9018]	Time 0.761 (0.624)	Data 0.016 (0.003)	Loss 1.7217 (1.6684)	Prec@1 58.000 (55.225)	Prec@5 81.500 (84.004)
Epoch: [76][5680/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.7914 (1.6685)	Prec@1 54.000 (55.222)	Prec@5 82.000 (84.002)
Epoch: [76][5690/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.5474 (1.6686)	Prec@1 58.000 (55.220)	Prec@5 83.500 (84.002)
Epoch: [76][5700/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.6192 (1.6686)	Prec@1 54.000 (55.218)	Prec@5 87.500 (84.001)
Epoch: [76][5710/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.8999 (1.6687)	Prec@1 48.500 (55.216)	Prec@5 81.000 (84.000)
Epoch: [76][5720/9018]	Time 0.609 (0.624)	Data 0.016 (0.003)	Loss 1.6468 (1.6687)	Prec@1 55.500 (55.214)	Prec@5 85.000 (84.000)
Epoch: [76][5730/9018]	Time 0.639 (0.624)	Data 0.011 (0.003)	Loss 1.5555 (1.6687)	Prec@1 59.000 (55.213)	Prec@5 85.000 (84.000)
Epoch: [76][5740/9018]	Time 0.626 (0.624)	Data 0.014 (0.003)	Loss 1.6559 (1.6687)	Prec@1 55.000 (55.212)	Prec@5 84.000 (84.001)
Epoch: [76][5750/9018]	Time 0.640 (0.624)	Data 0.001 (0.003)	Loss 1.7747 (1.6687)	Prec@1 52.500 (55.213)	Prec@5 79.500 (84.001)
Epoch: [76][5760/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 1.8093 (1.6688)	Prec@1 52.500 (55.211)	Prec@5 83.000 (84.001)
Epoch: [76][5770/9018]	Time 0.638 (0.624)	Data 0.016 (0.003)	Loss 1.6588 (1.6689)	Prec@1 56.500 (55.211)	Prec@5 83.500 (83.999)
Epoch: [76][5780/9018]	Time 0.614 (0.624)	Data 0.014 (0.003)	Loss 1.5268 (1.6689)	Prec@1 57.000 (55.210)	Prec@5 85.000 (84.000)
Epoch: [76][5790/9018]	Time 0.608 (0.624)	Data 0.017 (0.003)	Loss 1.8060 (1.6688)	Prec@1 51.000 (55.210)	Prec@5 84.000 (84.002)
Epoch: [76][5800/9018]	Time 0.615 (0.624)	Data 0.016 (0.003)	Loss 1.5619 (1.6689)	Prec@1 56.000 (55.209)	Prec@5 87.500 (84.002)
Epoch: [76][5810/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.5956 (1.6689)	Prec@1 58.500 (55.210)	Prec@5 86.500 (84.001)
Epoch: [76][5820/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.7067 (1.6689)	Prec@1 51.000 (55.208)	Prec@5 85.000 (84.002)
Epoch: [76][5830/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.7691 (1.6689)	Prec@1 52.500 (55.208)	Prec@5 82.000 (84.002)
Epoch: [76][5840/9018]	Time 0.618 (0.625)	Data 0.015 (0.003)	Loss 1.6131 (1.6690)	Prec@1 57.500 (55.205)	Prec@5 84.000 (84.002)
Epoch: [76][5850/9018]	Time 0.621 (0.625)	Data 0.008 (0.003)	Loss 1.4973 (1.6689)	Prec@1 59.500 (55.206)	Prec@5 89.000 (84.002)
Epoch: [76][5860/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.5868 (1.6690)	Prec@1 57.500 (55.205)	Prec@5 86.000 (84.001)
Epoch: [76][5870/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 1.7987 (1.6690)	Prec@1 47.000 (55.204)	Prec@5 84.000 (84.000)
Epoch: [76][5880/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.4507 (1.6689)	Prec@1 62.500 (55.206)	Prec@5 87.500 (84.002)
Epoch: [76][5890/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.8269 (1.6689)	Prec@1 51.000 (55.205)	Prec@5 84.000 (84.003)
Epoch: [76][5900/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.7679 (1.6689)	Prec@1 53.500 (55.204)	Prec@5 82.000 (84.005)
Epoch: [76][5910/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 1.6650 (1.6690)	Prec@1 55.500 (55.203)	Prec@5 82.000 (84.003)
Epoch: [76][5920/9018]	Time 0.628 (0.625)	Data 0.013 (0.003)	Loss 1.8232 (1.6691)	Prec@1 52.500 (55.203)	Prec@5 79.500 (84.001)
Epoch: [76][5930/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.6369 (1.6691)	Prec@1 55.500 (55.201)	Prec@5 82.500 (84.000)
Epoch: [76][5940/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.7664 (1.6691)	Prec@1 53.000 (55.198)	Prec@5 82.500 (83.997)
Epoch: [76][5950/9018]	Time 0.731 (0.625)	Data 0.001 (0.003)	Loss 1.6925 (1.6692)	Prec@1 55.500 (55.199)	Prec@5 85.500 (83.995)
Epoch: [76][5960/9018]	Time 0.611 (0.625)	Data 0.015 (0.003)	Loss 1.8536 (1.6693)	Prec@1 51.000 (55.199)	Prec@5 80.000 (83.993)
Epoch: [76][5970/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.7363 (1.6693)	Prec@1 53.500 (55.197)	Prec@5 83.000 (83.994)
Epoch: [76][5980/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.5386 (1.6694)	Prec@1 60.000 (55.197)	Prec@5 85.000 (83.991)
Epoch: [76][5990/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.4320 (1.6694)	Prec@1 62.000 (55.199)	Prec@5 86.500 (83.992)
Epoch: [76][6000/9018]	Time 0.732 (0.625)	Data 0.001 (0.003)	Loss 1.7588 (1.6694)	Prec@1 50.500 (55.199)	Prec@5 83.500 (83.992)
Epoch: [76][6010/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.6852 (1.6695)	Prec@1 59.000 (55.199)	Prec@5 82.500 (83.990)
Epoch: [76][6020/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.8877 (1.6696)	Prec@1 46.000 (55.198)	Prec@5 82.500 (83.990)
Epoch: [76][6030/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.8969 (1.6696)	Prec@1 49.500 (55.197)	Prec@5 79.000 (83.990)
Epoch: [76][6040/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.8781 (1.6697)	Prec@1 47.000 (55.194)	Prec@5 80.000 (83.989)
Epoch: [76][6050/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.9855 (1.6698)	Prec@1 47.500 (55.191)	Prec@5 79.000 (83.989)
Epoch: [76][6060/9018]	Time 0.610 (0.625)	Data 0.013 (0.003)	Loss 1.7757 (1.6698)	Prec@1 56.000 (55.192)	Prec@5 83.000 (83.991)
Epoch: [76][6070/9018]	Time 0.607 (0.625)	Data 0.016 (0.003)	Loss 1.4044 (1.6697)	Prec@1 65.500 (55.193)	Prec@5 88.000 (83.993)
Epoch: [76][6080/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.7592 (1.6697)	Prec@1 54.500 (55.193)	Prec@5 84.500 (83.992)
Epoch: [76][6090/9018]	Time 0.613 (0.624)	Data 0.021 (0.003)	Loss 1.5144 (1.6697)	Prec@1 61.000 (55.194)	Prec@5 85.000 (83.993)
Epoch: [76][6100/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.7222 (1.6696)	Prec@1 51.000 (55.194)	Prec@5 83.000 (83.992)
Epoch: [76][6110/9018]	Time 0.609 (0.624)	Data 0.014 (0.003)	Loss 1.7804 (1.6696)	Prec@1 54.500 (55.194)	Prec@5 80.500 (83.991)
Epoch: [76][6120/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.7858 (1.6697)	Prec@1 49.500 (55.193)	Prec@5 84.000 (83.990)
Epoch: [76][6130/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.8223 (1.6698)	Prec@1 53.000 (55.192)	Prec@5 81.500 (83.989)
Epoch: [76][6140/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.7371 (1.6699)	Prec@1 50.500 (55.189)	Prec@5 83.500 (83.988)
Epoch: [76][6150/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 1.7148 (1.6699)	Prec@1 54.000 (55.191)	Prec@5 82.500 (83.988)
Epoch: [76][6160/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.6420 (1.6699)	Prec@1 54.500 (55.192)	Prec@5 83.000 (83.985)
Epoch: [76][6170/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.5063 (1.6699)	Prec@1 58.000 (55.191)	Prec@5 86.500 (83.984)
Epoch: [76][6180/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.3369 (1.6698)	Prec@1 56.500 (55.194)	Prec@5 90.500 (83.986)
Epoch: [76][6190/9018]	Time 0.621 (0.624)	Data 0.025 (0.003)	Loss 1.7077 (1.6698)	Prec@1 55.000 (55.193)	Prec@5 80.000 (83.987)
Epoch: [76][6200/9018]	Time 0.634 (0.624)	Data 0.017 (0.003)	Loss 1.7232 (1.6699)	Prec@1 47.500 (55.189)	Prec@5 81.500 (83.986)
Epoch: [76][6210/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.6498 (1.6699)	Prec@1 58.000 (55.189)	Prec@5 85.500 (83.984)
Epoch: [76][6220/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.5926 (1.6700)	Prec@1 56.500 (55.186)	Prec@5 87.500 (83.983)
Epoch: [76][6230/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.7561 (1.6700)	Prec@1 53.500 (55.186)	Prec@5 83.000 (83.982)
Epoch: [76][6240/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.7634 (1.6701)	Prec@1 50.000 (55.186)	Prec@5 84.000 (83.982)
Epoch: [76][6250/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.7601 (1.6702)	Prec@1 50.000 (55.183)	Prec@5 85.000 (83.979)
Epoch: [76][6260/9018]	Time 0.645 (0.624)	Data 0.017 (0.003)	Loss 1.4902 (1.6702)	Prec@1 57.000 (55.180)	Prec@5 88.500 (83.980)
Epoch: [76][6270/9018]	Time 0.619 (0.624)	Data 0.014 (0.003)	Loss 1.6044 (1.6701)	Prec@1 57.000 (55.181)	Prec@5 85.500 (83.980)
Epoch: [76][6280/9018]	Time 0.748 (0.624)	Data 0.007 (0.003)	Loss 1.6756 (1.6701)	Prec@1 55.500 (55.182)	Prec@5 83.000 (83.980)
Epoch: [76][6290/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.6777 (1.6700)	Prec@1 54.000 (55.185)	Prec@5 84.000 (83.982)
Epoch: [76][6300/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.8233 (1.6700)	Prec@1 54.000 (55.185)	Prec@5 81.000 (83.980)
Epoch: [76][6310/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.6839 (1.6700)	Prec@1 50.500 (55.184)	Prec@5 85.500 (83.982)
Epoch: [76][6320/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.5645 (1.6700)	Prec@1 60.500 (55.184)	Prec@5 86.500 (83.981)
Epoch: [76][6330/9018]	Time 0.773 (0.624)	Data 0.001 (0.003)	Loss 1.5487 (1.6700)	Prec@1 60.000 (55.182)	Prec@5 86.500 (83.982)
Epoch: [76][6340/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.3849 (1.6701)	Prec@1 61.500 (55.182)	Prec@5 91.000 (83.982)
Epoch: [76][6350/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.7566 (1.6701)	Prec@1 53.000 (55.180)	Prec@5 83.000 (83.983)
Epoch: [76][6360/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.7325 (1.6700)	Prec@1 52.500 (55.183)	Prec@5 83.000 (83.984)
Epoch: [76][6370/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.4910 (1.6700)	Prec@1 58.500 (55.184)	Prec@5 85.000 (83.983)
Epoch: [76][6380/9018]	Time 0.615 (0.624)	Data 0.008 (0.003)	Loss 1.3960 (1.6699)	Prec@1 60.000 (55.185)	Prec@5 90.500 (83.984)
Epoch: [76][6390/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.7487 (1.6699)	Prec@1 52.000 (55.187)	Prec@5 84.500 (83.984)
Epoch: [76][6400/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.6134 (1.6700)	Prec@1 54.000 (55.183)	Prec@5 86.500 (83.982)
Epoch: [76][6410/9018]	Time 0.620 (0.624)	Data 0.016 (0.003)	Loss 1.5487 (1.6700)	Prec@1 60.500 (55.185)	Prec@5 88.000 (83.983)
Epoch: [76][6420/9018]	Time 0.607 (0.624)	Data 0.014 (0.003)	Loss 1.7308 (1.6700)	Prec@1 51.000 (55.182)	Prec@5 84.500 (83.983)
Epoch: [76][6430/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.6926 (1.6699)	Prec@1 55.500 (55.185)	Prec@5 83.000 (83.983)
Epoch: [76][6440/9018]	Time 0.620 (0.624)	Data 0.015 (0.003)	Loss 1.5094 (1.6698)	Prec@1 62.000 (55.187)	Prec@5 85.500 (83.984)
Epoch: [76][6450/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.5318 (1.6698)	Prec@1 57.000 (55.189)	Prec@5 83.500 (83.983)
Epoch: [76][6460/9018]	Time 0.631 (0.624)	Data 0.002 (0.003)	Loss 1.8504 (1.6698)	Prec@1 51.000 (55.189)	Prec@5 79.000 (83.984)
Epoch: [76][6470/9018]	Time 0.621 (0.624)	Data 0.017 (0.003)	Loss 1.6540 (1.6698)	Prec@1 56.000 (55.187)	Prec@5 80.500 (83.985)
Epoch: [76][6480/9018]	Time 0.632 (0.624)	Data 0.001 (0.003)	Loss 1.6359 (1.6697)	Prec@1 58.000 (55.189)	Prec@5 85.500 (83.986)
Epoch: [76][6490/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.6649 (1.6697)	Prec@1 57.000 (55.189)	Prec@5 82.000 (83.987)
Epoch: [76][6500/9018]	Time 0.631 (0.624)	Data 0.015 (0.003)	Loss 1.4618 (1.6696)	Prec@1 58.500 (55.191)	Prec@5 86.500 (83.988)
Epoch: [76][6510/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6304 (1.6697)	Prec@1 59.000 (55.190)	Prec@5 81.500 (83.987)
Epoch: [76][6520/9018]	Time 0.608 (0.624)	Data 0.015 (0.003)	Loss 1.5833 (1.6696)	Prec@1 58.500 (55.192)	Prec@5 82.500 (83.989)
Epoch: [76][6530/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.5204 (1.6696)	Prec@1 57.500 (55.194)	Prec@5 88.000 (83.988)
Epoch: [76][6540/9018]	Time 0.651 (0.624)	Data 0.015 (0.003)	Loss 1.6534 (1.6696)	Prec@1 54.000 (55.194)	Prec@5 84.000 (83.989)
Epoch: [76][6550/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.6562 (1.6696)	Prec@1 56.500 (55.194)	Prec@5 83.500 (83.990)
Epoch: [76][6560/9018]	Time 0.608 (0.624)	Data 0.007 (0.003)	Loss 1.5748 (1.6697)	Prec@1 54.000 (55.192)	Prec@5 87.000 (83.987)
Epoch: [76][6570/9018]	Time 0.594 (0.624)	Data 0.003 (0.003)	Loss 1.7606 (1.6698)	Prec@1 54.000 (55.191)	Prec@5 83.000 (83.986)
Epoch: [76][6580/9018]	Time 0.633 (0.624)	Data 0.001 (0.003)	Loss 1.4165 (1.6697)	Prec@1 64.000 (55.192)	Prec@5 87.500 (83.988)
Epoch: [76][6590/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.5100 (1.6697)	Prec@1 57.000 (55.191)	Prec@5 88.000 (83.988)
Epoch: [76][6600/9018]	Time 0.622 (0.624)	Data 0.008 (0.003)	Loss 1.5648 (1.6697)	Prec@1 57.500 (55.192)	Prec@5 85.000 (83.988)
Epoch: [76][6610/9018]	Time 0.779 (0.624)	Data 0.001 (0.003)	Loss 1.5697 (1.6696)	Prec@1 58.000 (55.192)	Prec@5 82.000 (83.988)
Epoch: [76][6620/9018]	Time 0.634 (0.624)	Data 0.001 (0.003)	Loss 1.8469 (1.6697)	Prec@1 52.500 (55.191)	Prec@5 82.500 (83.986)
Epoch: [76][6630/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.8922 (1.6699)	Prec@1 51.500 (55.188)	Prec@5 80.000 (83.983)
Epoch: [76][6640/9018]	Time 0.611 (0.624)	Data 0.013 (0.003)	Loss 1.6492 (1.6700)	Prec@1 57.500 (55.187)	Prec@5 83.500 (83.980)
Epoch: [76][6650/9018]	Time 0.612 (0.624)	Data 0.015 (0.003)	Loss 1.8425 (1.6701)	Prec@1 44.500 (55.184)	Prec@5 82.500 (83.981)
Epoch: [76][6660/9018]	Time 0.739 (0.624)	Data 0.017 (0.003)	Loss 1.6347 (1.6701)	Prec@1 55.000 (55.183)	Prec@5 86.000 (83.982)
Epoch: [76][6670/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.5813 (1.6701)	Prec@1 55.000 (55.183)	Prec@5 86.000 (83.983)
Epoch: [76][6680/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.5793 (1.6700)	Prec@1 54.500 (55.182)	Prec@5 85.000 (83.983)
Epoch: [76][6690/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.5622 (1.6700)	Prec@1 59.500 (55.182)	Prec@5 85.500 (83.983)
Epoch: [76][6700/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.8036 (1.6701)	Prec@1 50.000 (55.179)	Prec@5 80.500 (83.981)
Epoch: [76][6710/9018]	Time 0.624 (0.624)	Data 0.014 (0.003)	Loss 1.8681 (1.6702)	Prec@1 49.000 (55.175)	Prec@5 82.500 (83.981)
Epoch: [76][6720/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.6166 (1.6701)	Prec@1 59.500 (55.177)	Prec@5 86.000 (83.983)
Epoch: [76][6730/9018]	Time 0.609 (0.624)	Data 0.014 (0.003)	Loss 1.8394 (1.6701)	Prec@1 52.000 (55.177)	Prec@5 83.000 (83.982)
Epoch: [76][6740/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.8604 (1.6702)	Prec@1 52.500 (55.174)	Prec@5 81.000 (83.979)
Epoch: [76][6750/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.8934 (1.6703)	Prec@1 49.000 (55.172)	Prec@5 78.500 (83.978)
Epoch: [76][6760/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.7261 (1.6704)	Prec@1 55.000 (55.172)	Prec@5 83.500 (83.977)
Epoch: [76][6770/9018]	Time 0.612 (0.624)	Data 0.016 (0.003)	Loss 1.7261 (1.6703)	Prec@1 51.000 (55.173)	Prec@5 86.500 (83.978)
Epoch: [76][6780/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.7165 (1.6703)	Prec@1 50.500 (55.172)	Prec@5 86.000 (83.978)
Epoch: [76][6790/9018]	Time 0.617 (0.624)	Data 0.017 (0.003)	Loss 1.6419 (1.6703)	Prec@1 53.500 (55.173)	Prec@5 84.500 (83.977)
Epoch: [76][6800/9018]	Time 0.617 (0.624)	Data 0.016 (0.003)	Loss 1.5606 (1.6704)	Prec@1 55.500 (55.170)	Prec@5 85.500 (83.978)
Epoch: [76][6810/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.6557 (1.6704)	Prec@1 54.000 (55.171)	Prec@5 84.000 (83.977)
Epoch: [76][6820/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.6624 (1.6703)	Prec@1 56.000 (55.173)	Prec@5 84.000 (83.978)
Epoch: [76][6830/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.5562 (1.6704)	Prec@1 55.000 (55.171)	Prec@5 87.500 (83.978)
Epoch: [76][6840/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.8197 (1.6703)	Prec@1 54.500 (55.172)	Prec@5 82.000 (83.978)
Epoch: [76][6850/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.6418 (1.6704)	Prec@1 55.500 (55.170)	Prec@5 86.000 (83.977)
Epoch: [76][6860/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.6658 (1.6704)	Prec@1 55.500 (55.172)	Prec@5 81.500 (83.977)
Epoch: [76][6870/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.6542 (1.6705)	Prec@1 54.000 (55.171)	Prec@5 86.000 (83.975)
Epoch: [76][6880/9018]	Time 0.613 (0.624)	Data 0.013 (0.003)	Loss 1.6069 (1.6705)	Prec@1 59.000 (55.171)	Prec@5 83.000 (83.973)
Epoch: [76][6890/9018]	Time 0.841 (0.624)	Data 0.014 (0.003)	Loss 1.7308 (1.6705)	Prec@1 55.500 (55.173)	Prec@5 82.500 (83.973)
Epoch: [76][6900/9018]	Time 0.615 (0.624)	Data 0.013 (0.003)	Loss 1.5867 (1.6705)	Prec@1 60.000 (55.173)	Prec@5 84.000 (83.973)
Epoch: [76][6910/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.8085 (1.6706)	Prec@1 49.000 (55.172)	Prec@5 84.000 (83.971)
Epoch: [76][6920/9018]	Time 0.649 (0.624)	Data 0.001 (0.003)	Loss 1.8363 (1.6706)	Prec@1 54.500 (55.171)	Prec@5 80.000 (83.971)
Epoch: [76][6930/9018]	Time 0.659 (0.624)	Data 0.001 (0.003)	Loss 1.6304 (1.6706)	Prec@1 55.000 (55.171)	Prec@5 84.000 (83.970)
Epoch: [76][6940/9018]	Time 0.748 (0.624)	Data 0.008 (0.003)	Loss 1.5006 (1.6705)	Prec@1 63.000 (55.173)	Prec@5 86.500 (83.971)
Epoch: [76][6950/9018]	Time 0.621 (0.624)	Data 0.015 (0.003)	Loss 1.6178 (1.6705)	Prec@1 50.500 (55.174)	Prec@5 86.500 (83.973)
Epoch: [76][6960/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.5450 (1.6705)	Prec@1 63.500 (55.175)	Prec@5 85.500 (83.972)
Epoch: [76][6970/9018]	Time 0.624 (0.624)	Data 0.013 (0.003)	Loss 1.7981 (1.6705)	Prec@1 53.000 (55.175)	Prec@5 85.000 (83.971)
Epoch: [76][6980/9018]	Time 0.615 (0.624)	Data 0.015 (0.003)	Loss 1.7847 (1.6705)	Prec@1 58.500 (55.176)	Prec@5 81.500 (83.971)
Epoch: [76][6990/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.6307 (1.6706)	Prec@1 58.500 (55.175)	Prec@5 84.500 (83.970)
Epoch: [76][7000/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.6523 (1.6707)	Prec@1 56.500 (55.173)	Prec@5 84.500 (83.969)
Epoch: [76][7010/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.7286 (1.6707)	Prec@1 58.000 (55.173)	Prec@5 80.000 (83.969)
Epoch: [76][7020/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.6882 (1.6707)	Prec@1 56.500 (55.174)	Prec@5 83.000 (83.970)
Epoch: [76][7030/9018]	Time 0.617 (0.624)	Data 0.012 (0.003)	Loss 1.7792 (1.6708)	Prec@1 54.000 (55.170)	Prec@5 81.500 (83.968)
Epoch: [76][7040/9018]	Time 0.652 (0.624)	Data 0.001 (0.003)	Loss 1.6808 (1.6708)	Prec@1 57.000 (55.169)	Prec@5 84.500 (83.968)
Epoch: [76][7050/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.5428 (1.6708)	Prec@1 58.000 (55.171)	Prec@5 86.000 (83.969)
Epoch: [76][7060/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.8556 (1.6707)	Prec@1 46.500 (55.172)	Prec@5 78.500 (83.970)
Epoch: [76][7070/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.6417 (1.6707)	Prec@1 53.000 (55.170)	Prec@5 86.000 (83.970)
Epoch: [76][7080/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.6301 (1.6707)	Prec@1 54.500 (55.172)	Prec@5 83.500 (83.970)
Epoch: [76][7090/9018]	Time 0.643 (0.624)	Data 0.002 (0.003)	Loss 1.7878 (1.6707)	Prec@1 50.500 (55.174)	Prec@5 81.000 (83.972)
Epoch: [76][7100/9018]	Time 0.613 (0.624)	Data 0.005 (0.003)	Loss 1.6293 (1.6707)	Prec@1 55.000 (55.172)	Prec@5 85.500 (83.970)
Epoch: [76][7110/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.6356 (1.6708)	Prec@1 56.500 (55.172)	Prec@5 86.000 (83.970)
Epoch: [76][7120/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.7511 (1.6707)	Prec@1 59.000 (55.175)	Prec@5 81.500 (83.970)
Epoch: [76][7130/9018]	Time 0.596 (0.624)	Data 0.016 (0.003)	Loss 1.7315 (1.6706)	Prec@1 55.500 (55.177)	Prec@5 82.000 (83.971)
Epoch: [76][7140/9018]	Time 0.609 (0.624)	Data 0.011 (0.003)	Loss 1.7944 (1.6706)	Prec@1 51.000 (55.177)	Prec@5 81.500 (83.972)
Epoch: [76][7150/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.7261 (1.6707)	Prec@1 52.500 (55.175)	Prec@5 85.500 (83.971)
Epoch: [76][7160/9018]	Time 0.618 (0.624)	Data 0.002 (0.003)	Loss 1.7401 (1.6708)	Prec@1 53.500 (55.174)	Prec@5 82.500 (83.969)
Epoch: [76][7170/9018]	Time 0.609 (0.624)	Data 0.001 (0.003)	Loss 1.6095 (1.6708)	Prec@1 53.000 (55.173)	Prec@5 85.000 (83.969)
Epoch: [76][7180/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.6455 (1.6709)	Prec@1 55.000 (55.174)	Prec@5 85.500 (83.970)
Epoch: [76][7190/9018]	Time 0.647 (0.624)	Data 0.001 (0.003)	Loss 1.5101 (1.6709)	Prec@1 57.500 (55.175)	Prec@5 89.500 (83.970)
Epoch: [76][7200/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.6865 (1.6709)	Prec@1 55.500 (55.176)	Prec@5 83.000 (83.969)
Epoch: [76][7210/9018]	Time 0.621 (0.624)	Data 0.010 (0.003)	Loss 1.8528 (1.6710)	Prec@1 46.500 (55.175)	Prec@5 82.000 (83.969)
Epoch: [76][7220/9018]	Time 0.764 (0.624)	Data 0.001 (0.003)	Loss 1.7849 (1.6710)	Prec@1 51.000 (55.174)	Prec@5 81.500 (83.968)
Epoch: [76][7230/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.5945 (1.6710)	Prec@1 56.000 (55.174)	Prec@5 85.000 (83.968)
Epoch: [76][7240/9018]	Time 0.652 (0.624)	Data 0.001 (0.003)	Loss 1.4889 (1.6711)	Prec@1 57.500 (55.173)	Prec@5 86.500 (83.967)
Epoch: [76][7250/9018]	Time 0.622 (0.624)	Data 0.003 (0.003)	Loss 1.4938 (1.6709)	Prec@1 57.500 (55.177)	Prec@5 87.000 (83.970)
Epoch: [76][7260/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.6462 (1.6709)	Prec@1 53.000 (55.176)	Prec@5 87.500 (83.971)
Epoch: [76][7270/9018]	Time 0.780 (0.624)	Data 0.001 (0.003)	Loss 1.6950 (1.6709)	Prec@1 51.000 (55.174)	Prec@5 84.500 (83.972)
Epoch: [76][7280/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.7395 (1.6709)	Prec@1 51.000 (55.174)	Prec@5 83.000 (83.971)
Epoch: [76][7290/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8826 (1.6709)	Prec@1 48.000 (55.175)	Prec@5 83.500 (83.972)
Epoch: [76][7300/9018]	Time 0.587 (0.624)	Data 0.001 (0.003)	Loss 1.5362 (1.6710)	Prec@1 58.000 (55.175)	Prec@5 84.000 (83.969)
Epoch: [76][7310/9018]	Time 0.610 (0.624)	Data 0.014 (0.003)	Loss 1.5331 (1.6709)	Prec@1 60.500 (55.175)	Prec@5 87.500 (83.969)
Epoch: [76][7320/9018]	Time 0.648 (0.624)	Data 0.001 (0.003)	Loss 1.6276 (1.6709)	Prec@1 57.500 (55.174)	Prec@5 84.500 (83.969)
Epoch: [76][7330/9018]	Time 0.589 (0.624)	Data 0.001 (0.003)	Loss 1.8455 (1.6710)	Prec@1 53.000 (55.175)	Prec@5 82.000 (83.969)
Epoch: [76][7340/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.6062 (1.6711)	Prec@1 59.000 (55.174)	Prec@5 87.000 (83.968)
Epoch: [76][7350/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.8163 (1.6711)	Prec@1 57.500 (55.174)	Prec@5 84.500 (83.968)
Epoch: [76][7360/9018]	Time 0.628 (0.624)	Data 0.014 (0.003)	Loss 1.7132 (1.6711)	Prec@1 52.000 (55.174)	Prec@5 82.500 (83.967)
Epoch: [76][7370/9018]	Time 0.665 (0.624)	Data 0.017 (0.003)	Loss 1.5978 (1.6711)	Prec@1 57.500 (55.174)	Prec@5 87.500 (83.968)
Epoch: [76][7380/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.5157 (1.6711)	Prec@1 61.000 (55.177)	Prec@5 87.500 (83.969)
Epoch: [76][7390/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.6332 (1.6711)	Prec@1 57.000 (55.176)	Prec@5 87.500 (83.970)
Epoch: [76][7400/9018]	Time 0.620 (0.624)	Data 0.017 (0.003)	Loss 1.6424 (1.6711)	Prec@1 53.000 (55.174)	Prec@5 85.500 (83.970)
Epoch: [76][7410/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.5563 (1.6711)	Prec@1 59.500 (55.175)	Prec@5 87.500 (83.971)
Epoch: [76][7420/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.7368 (1.6711)	Prec@1 56.000 (55.177)	Prec@5 80.500 (83.970)
Epoch: [76][7430/9018]	Time 0.635 (0.624)	Data 0.012 (0.003)	Loss 1.7680 (1.6711)	Prec@1 53.500 (55.178)	Prec@5 84.000 (83.971)
Epoch: [76][7440/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.6400 (1.6710)	Prec@1 52.000 (55.179)	Prec@5 87.000 (83.973)
Epoch: [76][7450/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.5688 (1.6709)	Prec@1 61.000 (55.182)	Prec@5 86.000 (83.974)
Epoch: [76][7460/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.5052 (1.6709)	Prec@1 59.500 (55.183)	Prec@5 87.500 (83.975)
Epoch: [76][7470/9018]	Time 0.600 (0.625)	Data 0.005 (0.003)	Loss 1.5301 (1.6708)	Prec@1 60.500 (55.186)	Prec@5 84.000 (83.976)
Epoch: [76][7480/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.5717 (1.6708)	Prec@1 55.500 (55.186)	Prec@5 89.000 (83.977)
Epoch: [76][7490/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.5907 (1.6708)	Prec@1 56.000 (55.185)	Prec@5 86.000 (83.977)
Epoch: [76][7500/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.6828 (1.6708)	Prec@1 59.000 (55.188)	Prec@5 80.000 (83.977)
Epoch: [76][7510/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.7198 (1.6709)	Prec@1 56.000 (55.187)	Prec@5 83.500 (83.976)
Epoch: [76][7520/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.7334 (1.6709)	Prec@1 53.000 (55.186)	Prec@5 78.500 (83.974)
Epoch: [76][7530/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.5720 (1.6709)	Prec@1 57.500 (55.187)	Prec@5 86.500 (83.974)
Epoch: [76][7540/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.8472 (1.6709)	Prec@1 52.000 (55.185)	Prec@5 82.500 (83.975)
Epoch: [76][7550/9018]	Time 0.763 (0.624)	Data 0.001 (0.003)	Loss 1.5989 (1.6710)	Prec@1 57.500 (55.184)	Prec@5 83.000 (83.974)
Epoch: [76][7560/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.7116 (1.6710)	Prec@1 52.500 (55.184)	Prec@5 85.500 (83.974)
Epoch: [76][7570/9018]	Time 0.629 (0.624)	Data 0.002 (0.003)	Loss 1.6067 (1.6710)	Prec@1 58.000 (55.184)	Prec@5 86.500 (83.974)
Epoch: [76][7580/9018]	Time 0.640 (0.624)	Data 0.001 (0.003)	Loss 1.7427 (1.6710)	Prec@1 53.500 (55.182)	Prec@5 84.000 (83.974)
Epoch: [76][7590/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.6505 (1.6710)	Prec@1 54.000 (55.182)	Prec@5 85.500 (83.973)
Epoch: [76][7600/9018]	Time 0.720 (0.625)	Data 0.001 (0.003)	Loss 1.7668 (1.6710)	Prec@1 56.500 (55.183)	Prec@5 81.500 (83.974)
Epoch: [76][7610/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.6450 (1.6710)	Prec@1 55.000 (55.182)	Prec@5 86.500 (83.973)
Epoch: [76][7620/9018]	Time 0.624 (0.625)	Data 0.007 (0.003)	Loss 1.8855 (1.6710)	Prec@1 49.500 (55.183)	Prec@5 81.000 (83.973)
Epoch: [76][7630/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.7826 (1.6709)	Prec@1 51.500 (55.184)	Prec@5 83.000 (83.974)
Epoch: [76][7640/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 1.5995 (1.6708)	Prec@1 57.000 (55.186)	Prec@5 84.000 (83.975)
Epoch: [76][7650/9018]	Time 0.654 (0.625)	Data 0.001 (0.003)	Loss 1.8054 (1.6709)	Prec@1 51.500 (55.185)	Prec@5 82.500 (83.975)
Epoch: [76][7660/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 1.7067 (1.6709)	Prec@1 55.000 (55.185)	Prec@5 85.500 (83.976)
Epoch: [76][7670/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.6959 (1.6709)	Prec@1 51.500 (55.185)	Prec@5 85.000 (83.976)
Epoch: [76][7680/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.6746 (1.6710)	Prec@1 49.500 (55.184)	Prec@5 87.000 (83.975)
Epoch: [76][7690/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.7336 (1.6709)	Prec@1 57.000 (55.186)	Prec@5 82.000 (83.977)
Epoch: [76][7700/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.8893 (1.6710)	Prec@1 45.000 (55.184)	Prec@5 81.000 (83.976)
Epoch: [76][7710/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.5220 (1.6711)	Prec@1 58.500 (55.181)	Prec@5 87.000 (83.976)
Epoch: [76][7720/9018]	Time 0.629 (0.625)	Data 0.001 (0.003)	Loss 1.7284 (1.6711)	Prec@1 51.000 (55.179)	Prec@5 83.500 (83.975)
Epoch: [76][7730/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.8539 (1.6712)	Prec@1 47.500 (55.176)	Prec@5 81.500 (83.974)
Epoch: [76][7740/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.5020 (1.6713)	Prec@1 56.500 (55.174)	Prec@5 87.000 (83.972)
Epoch: [76][7750/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.6981 (1.6713)	Prec@1 53.500 (55.175)	Prec@5 83.500 (83.972)
Epoch: [76][7760/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.7993 (1.6713)	Prec@1 51.500 (55.175)	Prec@5 80.000 (83.971)
Epoch: [76][7770/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.7214 (1.6714)	Prec@1 50.000 (55.172)	Prec@5 83.000 (83.970)
Epoch: [76][7780/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.6460 (1.6714)	Prec@1 54.000 (55.173)	Prec@5 85.000 (83.969)
Epoch: [76][7790/9018]	Time 0.619 (0.625)	Data 0.015 (0.003)	Loss 1.6851 (1.6714)	Prec@1 55.500 (55.173)	Prec@5 84.000 (83.968)
Epoch: [76][7800/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.4759 (1.6714)	Prec@1 54.000 (55.173)	Prec@5 87.500 (83.968)
Epoch: [76][7810/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.7991 (1.6714)	Prec@1 53.500 (55.172)	Prec@5 80.500 (83.968)
Epoch: [76][7820/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.7865 (1.6714)	Prec@1 55.000 (55.174)	Prec@5 79.500 (83.968)
Epoch: [76][7830/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.7129 (1.6713)	Prec@1 53.500 (55.175)	Prec@5 84.500 (83.969)
Epoch: [76][7840/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.7084 (1.6714)	Prec@1 50.500 (55.173)	Prec@5 83.000 (83.968)
Epoch: [76][7850/9018]	Time 0.616 (0.624)	Data 0.017 (0.003)	Loss 1.6768 (1.6714)	Prec@1 54.500 (55.172)	Prec@5 83.000 (83.966)
Epoch: [76][7860/9018]	Time 0.642 (0.624)	Data 0.001 (0.003)	Loss 1.6903 (1.6714)	Prec@1 55.500 (55.174)	Prec@5 83.000 (83.965)
Epoch: [76][7870/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.5922 (1.6714)	Prec@1 52.000 (55.173)	Prec@5 88.000 (83.966)
Epoch: [76][7880/9018]	Time 0.791 (0.625)	Data 0.001 (0.003)	Loss 1.7484 (1.6715)	Prec@1 53.000 (55.172)	Prec@5 84.000 (83.965)
Epoch: [76][7890/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.7239 (1.6716)	Prec@1 54.500 (55.170)	Prec@5 85.000 (83.964)
Epoch: [76][7900/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.6757 (1.6715)	Prec@1 53.000 (55.171)	Prec@5 85.500 (83.965)
Epoch: [76][7910/9018]	Time 0.620 (0.624)	Data 0.014 (0.003)	Loss 1.8104 (1.6715)	Prec@1 52.000 (55.174)	Prec@5 82.000 (83.966)
Epoch: [76][7920/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.6627 (1.6715)	Prec@1 56.000 (55.172)	Prec@5 83.000 (83.966)
Epoch: [76][7930/9018]	Time 0.745 (0.624)	Data 0.001 (0.003)	Loss 1.8181 (1.6715)	Prec@1 53.000 (55.173)	Prec@5 80.000 (83.965)
Epoch: [76][7940/9018]	Time 0.626 (0.624)	Data 0.016 (0.003)	Loss 1.6358 (1.6716)	Prec@1 53.500 (55.172)	Prec@5 81.500 (83.963)
Epoch: [76][7950/9018]	Time 0.615 (0.624)	Data 0.006 (0.003)	Loss 1.7807 (1.6715)	Prec@1 52.500 (55.171)	Prec@5 84.000 (83.963)
Epoch: [76][7960/9018]	Time 0.638 (0.624)	Data 0.001 (0.003)	Loss 1.7973 (1.6716)	Prec@1 51.500 (55.170)	Prec@5 81.500 (83.963)
Epoch: [76][7970/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.5094 (1.6715)	Prec@1 56.000 (55.171)	Prec@5 86.000 (83.964)
Epoch: [76][7980/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.4857 (1.6715)	Prec@1 56.500 (55.170)	Prec@5 87.000 (83.964)
Epoch: [76][7990/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.7330 (1.6715)	Prec@1 54.000 (55.171)	Prec@5 82.000 (83.964)
Epoch: [76][8000/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.6891 (1.6715)	Prec@1 54.500 (55.172)	Prec@5 82.000 (83.965)
Epoch: [76][8010/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.6290 (1.6715)	Prec@1 58.500 (55.172)	Prec@5 84.500 (83.965)
Epoch: [76][8020/9018]	Time 0.637 (0.624)	Data 0.016 (0.003)	Loss 1.6927 (1.6715)	Prec@1 52.000 (55.172)	Prec@5 85.000 (83.966)
Epoch: [76][8030/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.5813 (1.6715)	Prec@1 56.000 (55.171)	Prec@5 86.000 (83.965)
Epoch: [76][8040/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.8030 (1.6716)	Prec@1 51.000 (55.168)	Prec@5 81.500 (83.962)
Epoch: [76][8050/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.5480 (1.6716)	Prec@1 59.000 (55.169)	Prec@5 85.500 (83.962)
Epoch: [76][8060/9018]	Time 0.597 (0.624)	Data 0.007 (0.003)	Loss 1.6375 (1.6716)	Prec@1 58.000 (55.171)	Prec@5 85.000 (83.963)
Epoch: [76][8070/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.5796 (1.6716)	Prec@1 57.500 (55.170)	Prec@5 84.500 (83.962)
Epoch: [76][8080/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6078 (1.6716)	Prec@1 58.000 (55.172)	Prec@5 82.500 (83.963)
Epoch: [76][8090/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.7916 (1.6716)	Prec@1 51.500 (55.171)	Prec@5 81.500 (83.962)
Epoch: [76][8100/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.5868 (1.6716)	Prec@1 55.000 (55.169)	Prec@5 86.500 (83.962)
Epoch: [76][8110/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.7375 (1.6716)	Prec@1 51.000 (55.168)	Prec@5 81.000 (83.960)
Epoch: [76][8120/9018]	Time 0.638 (0.624)	Data 0.017 (0.003)	Loss 1.4163 (1.6717)	Prec@1 61.000 (55.168)	Prec@5 88.500 (83.959)
Epoch: [76][8130/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.3940 (1.6717)	Prec@1 59.500 (55.168)	Prec@5 85.000 (83.958)
Epoch: [76][8140/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.7463 (1.6717)	Prec@1 50.000 (55.168)	Prec@5 83.500 (83.958)
Epoch: [76][8150/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.4569 (1.6716)	Prec@1 55.500 (55.170)	Prec@5 86.000 (83.959)
Epoch: [76][8160/9018]	Time 0.625 (0.624)	Data 0.008 (0.003)	Loss 1.8793 (1.6716)	Prec@1 49.000 (55.171)	Prec@5 81.000 (83.960)
Epoch: [76][8170/9018]	Time 0.613 (0.624)	Data 0.002 (0.003)	Loss 1.6579 (1.6715)	Prec@1 58.000 (55.173)	Prec@5 80.500 (83.961)
Epoch: [76][8180/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.6959 (1.6715)	Prec@1 54.000 (55.175)	Prec@5 85.500 (83.962)
Epoch: [76][8190/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.8043 (1.6716)	Prec@1 53.000 (55.175)	Prec@5 81.500 (83.961)
Epoch: [76][8200/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.8379 (1.6716)	Prec@1 48.500 (55.176)	Prec@5 80.000 (83.961)
Epoch: [76][8210/9018]	Time 0.779 (0.624)	Data 0.001 (0.003)	Loss 1.7182 (1.6715)	Prec@1 53.500 (55.177)	Prec@5 82.500 (83.963)
Epoch: [76][8220/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.4500 (1.6715)	Prec@1 58.500 (55.178)	Prec@5 89.500 (83.963)
Epoch: [76][8230/9018]	Time 0.600 (0.624)	Data 0.001 (0.003)	Loss 1.7083 (1.6715)	Prec@1 51.500 (55.178)	Prec@5 82.500 (83.963)
Epoch: [76][8240/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.6612 (1.6715)	Prec@1 60.000 (55.178)	Prec@5 81.000 (83.963)
Epoch: [76][8250/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.3971 (1.6715)	Prec@1 59.500 (55.178)	Prec@5 91.000 (83.962)
Epoch: [76][8260/9018]	Time 0.778 (0.624)	Data 0.001 (0.003)	Loss 1.5767 (1.6715)	Prec@1 56.500 (55.180)	Prec@5 86.000 (83.962)
Epoch: [76][8270/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.6619 (1.6715)	Prec@1 55.500 (55.179)	Prec@5 85.500 (83.963)
Epoch: [76][8280/9018]	Time 0.613 (0.624)	Data 0.015 (0.003)	Loss 1.7213 (1.6714)	Prec@1 51.000 (55.180)	Prec@5 84.000 (83.964)
Epoch: [76][8290/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.5424 (1.6714)	Prec@1 58.000 (55.178)	Prec@5 87.000 (83.964)
Epoch: [76][8300/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.7104 (1.6715)	Prec@1 56.000 (55.178)	Prec@5 81.500 (83.963)
Epoch: [76][8310/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.7284 (1.6715)	Prec@1 54.000 (55.180)	Prec@5 84.000 (83.964)
Epoch: [76][8320/9018]	Time 0.607 (0.624)	Data 0.013 (0.003)	Loss 1.6411 (1.6715)	Prec@1 59.500 (55.181)	Prec@5 83.500 (83.964)
Epoch: [76][8330/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.6037 (1.6715)	Prec@1 57.000 (55.181)	Prec@5 85.000 (83.962)
Epoch: [76][8340/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.6800 (1.6715)	Prec@1 56.500 (55.182)	Prec@5 84.000 (83.963)
Epoch: [76][8350/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.7746 (1.6716)	Prec@1 51.000 (55.179)	Prec@5 81.500 (83.962)
Epoch: [76][8360/9018]	Time 0.622 (0.624)	Data 0.005 (0.003)	Loss 1.9131 (1.6716)	Prec@1 51.000 (55.179)	Prec@5 75.500 (83.961)
Epoch: [76][8370/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.5960 (1.6716)	Prec@1 54.500 (55.181)	Prec@5 85.500 (83.961)
Epoch: [76][8380/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.7320 (1.6716)	Prec@1 52.000 (55.180)	Prec@5 81.500 (83.961)
Epoch: [76][8390/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.5231 (1.6716)	Prec@1 60.000 (55.181)	Prec@5 87.000 (83.962)
Epoch: [76][8400/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.6801 (1.6717)	Prec@1 47.500 (55.180)	Prec@5 86.500 (83.962)
Epoch: [76][8410/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.5906 (1.6716)	Prec@1 61.000 (55.183)	Prec@5 83.500 (83.962)
Epoch: [76][8420/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.7764 (1.6716)	Prec@1 55.000 (55.184)	Prec@5 84.000 (83.963)
Epoch: [76][8430/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.7900 (1.6717)	Prec@1 51.500 (55.182)	Prec@5 83.000 (83.962)
Epoch: [76][8440/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.6339 (1.6717)	Prec@1 55.000 (55.182)	Prec@5 83.500 (83.961)
Epoch: [76][8450/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.6926 (1.6717)	Prec@1 52.000 (55.182)	Prec@5 84.500 (83.962)
Epoch: [76][8460/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.8120 (1.6716)	Prec@1 52.000 (55.183)	Prec@5 84.000 (83.963)
Epoch: [76][8470/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.5786 (1.6717)	Prec@1 57.500 (55.181)	Prec@5 87.000 (83.962)
Epoch: [76][8480/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.7317 (1.6717)	Prec@1 50.000 (55.179)	Prec@5 83.000 (83.962)
Epoch: [76][8490/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.6726 (1.6717)	Prec@1 60.000 (55.180)	Prec@5 83.500 (83.962)
Epoch: [76][8500/9018]	Time 0.648 (0.624)	Data 0.014 (0.003)	Loss 1.7089 (1.6717)	Prec@1 53.500 (55.180)	Prec@5 84.000 (83.961)
Epoch: [76][8510/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.6720 (1.6717)	Prec@1 51.500 (55.179)	Prec@5 86.500 (83.962)
Epoch: [76][8520/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.5861 (1.6717)	Prec@1 56.500 (55.178)	Prec@5 87.000 (83.962)
Epoch: [76][8530/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.8887 (1.6718)	Prec@1 49.000 (55.177)	Prec@5 79.000 (83.961)
Epoch: [76][8540/9018]	Time 0.749 (0.624)	Data 0.001 (0.003)	Loss 1.7676 (1.6719)	Prec@1 51.000 (55.175)	Prec@5 82.000 (83.960)
Epoch: [76][8550/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.5104 (1.6719)	Prec@1 59.000 (55.175)	Prec@5 89.000 (83.960)
Epoch: [76][8560/9018]	Time 0.636 (0.624)	Data 0.015 (0.003)	Loss 1.6055 (1.6720)	Prec@1 53.500 (55.173)	Prec@5 88.500 (83.959)
Epoch: [76][8570/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.6292 (1.6720)	Prec@1 55.500 (55.173)	Prec@5 85.000 (83.959)
Epoch: [76][8580/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.7198 (1.6720)	Prec@1 54.000 (55.172)	Prec@5 84.000 (83.959)
Epoch: [76][8590/9018]	Time 0.735 (0.624)	Data 0.001 (0.003)	Loss 1.5650 (1.6721)	Prec@1 60.000 (55.172)	Prec@5 85.000 (83.958)
Epoch: [76][8600/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.6798 (1.6721)	Prec@1 57.500 (55.171)	Prec@5 83.000 (83.957)
Epoch: [76][8610/9018]	Time 0.648 (0.624)	Data 0.001 (0.003)	Loss 1.5573 (1.6721)	Prec@1 54.000 (55.174)	Prec@5 87.500 (83.958)
Epoch: [76][8620/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.7754 (1.6721)	Prec@1 55.500 (55.174)	Prec@5 82.500 (83.957)
Epoch: [76][8630/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 1.8486 (1.6721)	Prec@1 53.000 (55.174)	Prec@5 83.000 (83.957)
Epoch: [76][8640/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 1.9369 (1.6721)	Prec@1 52.500 (55.173)	Prec@5 78.000 (83.957)
Epoch: [76][8650/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.4569 (1.6721)	Prec@1 59.500 (55.173)	Prec@5 86.500 (83.958)
Epoch: [76][8660/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.8792 (1.6721)	Prec@1 49.500 (55.172)	Prec@5 83.000 (83.959)
Epoch: [76][8670/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.6617 (1.6720)	Prec@1 58.000 (55.172)	Prec@5 83.500 (83.959)
Epoch: [76][8680/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 1.7094 (1.6721)	Prec@1 57.000 (55.171)	Prec@5 85.000 (83.958)
Epoch: [76][8690/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.5534 (1.6721)	Prec@1 57.000 (55.171)	Prec@5 84.500 (83.959)
Epoch: [76][8700/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.5421 (1.6721)	Prec@1 57.500 (55.171)	Prec@5 86.000 (83.958)
Epoch: [76][8710/9018]	Time 0.611 (0.624)	Data 0.007 (0.003)	Loss 1.6618 (1.6721)	Prec@1 61.500 (55.170)	Prec@5 81.000 (83.958)
Epoch: [76][8720/9018]	Time 0.606 (0.624)	Data 0.003 (0.003)	Loss 1.5872 (1.6722)	Prec@1 56.500 (55.168)	Prec@5 83.500 (83.956)
Epoch: [76][8730/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.8262 (1.6722)	Prec@1 54.000 (55.168)	Prec@5 82.500 (83.957)
Epoch: [76][8740/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.6739 (1.6722)	Prec@1 50.000 (55.168)	Prec@5 87.000 (83.957)
Epoch: [76][8750/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.9769 (1.6722)	Prec@1 46.000 (55.167)	Prec@5 78.500 (83.956)
Epoch: [76][8760/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.7540 (1.6723)	Prec@1 48.500 (55.164)	Prec@5 82.000 (83.956)
Epoch: [76][8770/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.4680 (1.6723)	Prec@1 59.500 (55.164)	Prec@5 87.000 (83.956)
Epoch: [76][8780/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 1.6022 (1.6723)	Prec@1 57.500 (55.165)	Prec@5 85.500 (83.957)
Epoch: [76][8790/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.6518 (1.6722)	Prec@1 59.500 (55.167)	Prec@5 84.000 (83.957)
Epoch: [76][8800/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.7240 (1.6723)	Prec@1 53.000 (55.164)	Prec@5 83.000 (83.956)
Epoch: [76][8810/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.4764 (1.6722)	Prec@1 57.500 (55.166)	Prec@5 86.000 (83.956)
Epoch: [76][8820/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.5913 (1.6723)	Prec@1 53.000 (55.165)	Prec@5 85.000 (83.955)
Epoch: [76][8830/9018]	Time 0.652 (0.624)	Data 0.014 (0.003)	Loss 1.4529 (1.6723)	Prec@1 62.000 (55.164)	Prec@5 87.000 (83.954)
Epoch: [76][8840/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.5433 (1.6723)	Prec@1 61.500 (55.165)	Prec@5 86.000 (83.954)
Epoch: [76][8850/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6329 (1.6723)	Prec@1 56.000 (55.164)	Prec@5 83.500 (83.954)
Epoch: [76][8860/9018]	Time 0.633 (0.624)	Data 0.001 (0.003)	Loss 1.8468 (1.6723)	Prec@1 47.500 (55.163)	Prec@5 81.500 (83.955)
Epoch: [76][8870/9018]	Time 0.767 (0.624)	Data 0.001 (0.003)	Loss 1.6136 (1.6722)	Prec@1 56.500 (55.164)	Prec@5 85.000 (83.956)
Epoch: [76][8880/9018]	Time 0.592 (0.624)	Data 0.007 (0.003)	Loss 1.7101 (1.6722)	Prec@1 52.000 (55.162)	Prec@5 83.000 (83.956)
Epoch: [76][8890/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.6196 (1.6722)	Prec@1 59.000 (55.161)	Prec@5 84.000 (83.956)
Epoch: [76][8900/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.7366 (1.6722)	Prec@1 56.000 (55.161)	Prec@5 84.500 (83.957)
Epoch: [76][8910/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.8186 (1.6722)	Prec@1 56.500 (55.163)	Prec@5 78.500 (83.956)
Epoch: [76][8920/9018]	Time 0.813 (0.624)	Data 0.001 (0.003)	Loss 1.7612 (1.6722)	Prec@1 51.500 (55.162)	Prec@5 83.500 (83.956)
Epoch: [76][8930/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.5532 (1.6722)	Prec@1 56.500 (55.163)	Prec@5 84.500 (83.956)
Epoch: [76][8940/9018]	Time 0.613 (0.624)	Data 0.014 (0.003)	Loss 1.8094 (1.6723)	Prec@1 54.000 (55.160)	Prec@5 81.000 (83.955)
Epoch: [76][8950/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.5722 (1.6724)	Prec@1 59.500 (55.158)	Prec@5 85.500 (83.954)
Epoch: [76][8960/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.7469 (1.6724)	Prec@1 52.500 (55.159)	Prec@5 84.000 (83.954)
Epoch: [76][8970/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 1.6582 (1.6723)	Prec@1 51.500 (55.160)	Prec@5 86.500 (83.955)
Epoch: [76][8980/9018]	Time 0.607 (0.624)	Data 0.016 (0.003)	Loss 1.5941 (1.6724)	Prec@1 56.000 (55.158)	Prec@5 83.000 (83.954)
Epoch: [76][8990/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.6291 (1.6724)	Prec@1 54.500 (55.158)	Prec@5 88.000 (83.953)
Epoch: [76][9000/9018]	Time 0.644 (0.624)	Data 0.001 (0.003)	Loss 1.6048 (1.6724)	Prec@1 55.500 (55.158)	Prec@5 85.000 (83.953)
Epoch: [76][9010/9018]	Time 0.596 (0.624)	Data 0.000 (0.003)	Loss 1.6966 (1.6724)	Prec@1 52.500 (55.157)	Prec@5 85.500 (83.954)
Test: [0/183]	Time 1.500 (1.500)	Loss 2.4318 (2.4318)	Prec@1 34.500 (34.500)	Prec@5 71.000 (71.000)
Test: [10/183]	Time 0.205 (0.340)	Loss 1.5343 (1.6033)	Prec@1 63.500 (56.773)	Prec@5 85.000 (85.818)
Test: [20/183]	Time 0.218 (0.280)	Loss 1.9103 (1.5927)	Prec@1 49.000 (57.167)	Prec@5 82.500 (86.071)
Test: [30/183]	Time 0.187 (0.252)	Loss 2.1980 (1.6011)	Prec@1 36.000 (56.339)	Prec@5 76.500 (86.210)
Test: [40/183]	Time 0.208 (0.242)	Loss 2.0784 (1.6025)	Prec@1 43.500 (56.976)	Prec@5 81.000 (85.585)
Test: [50/183]	Time 0.215 (0.234)	Loss 1.4404 (1.5811)	Prec@1 58.500 (57.490)	Prec@5 88.000 (85.647)
Test: [60/183]	Time 0.192 (0.229)	Loss 2.1530 (1.6492)	Prec@1 41.500 (55.336)	Prec@5 75.500 (84.844)
Test: [70/183]	Time 0.207 (0.227)	Loss 1.6701 (1.6406)	Prec@1 53.500 (55.430)	Prec@5 86.500 (85.155)
Test: [80/183]	Time 0.210 (0.223)	Loss 1.4647 (1.6253)	Prec@1 55.000 (55.475)	Prec@5 92.500 (85.358)
Test: [90/183]	Time 0.209 (0.222)	Loss 2.0197 (1.6209)	Prec@1 47.500 (55.676)	Prec@5 78.000 (85.467)
Test: [100/183]	Time 0.213 (0.220)	Loss 0.7098 (1.6224)	Prec@1 77.500 (55.604)	Prec@5 95.000 (85.490)
Test: [110/183]	Time 0.232 (0.220)	Loss 0.7025 (1.6279)	Prec@1 80.000 (55.477)	Prec@5 96.000 (85.383)
Test: [120/183]	Time 0.213 (0.219)	Loss 1.9925 (1.6343)	Prec@1 42.500 (55.236)	Prec@5 78.000 (85.388)
Test: [130/183]	Time 0.224 (0.217)	Loss 2.9372 (1.6442)	Prec@1 20.000 (54.931)	Prec@5 69.000 (85.424)
Test: [140/183]	Time 0.196 (0.217)	Loss 1.5787 (1.6366)	Prec@1 58.500 (55.138)	Prec@5 85.500 (85.550)
Test: [150/183]	Time 0.213 (0.215)	Loss 0.6744 (1.6353)	Prec@1 82.000 (55.315)	Prec@5 97.000 (85.553)
Test: [160/183]	Time 0.208 (0.215)	Loss 1.6313 (1.6315)	Prec@1 52.000 (55.547)	Prec@5 86.500 (85.621)
Test: [170/183]	Time 0.188 (0.215)	Loss 2.0352 (1.6476)	Prec@1 37.500 (55.123)	Prec@5 84.500 (85.436)
Test: [180/183]	Time 0.181 (0.214)	Loss 1.8597 (1.6565)	Prec@1 48.000 (54.972)	Prec@5 86.000 (85.279)
 * Prec@1 54.986 Prec@5 85.277
Epoch: [77][0/9018]	Time 3.379 (3.379)	Data 2.472 (2.472)	Loss 1.8236 (1.8236)	Prec@1 49.000 (49.000)	Prec@5 84.000 (84.000)
Epoch: [77][10/9018]	Time 0.602 (0.859)	Data 0.001 (0.227)	Loss 1.5352 (1.5693)	Prec@1 59.500 (57.000)	Prec@5 86.500 (85.864)
Epoch: [77][20/9018]	Time 0.609 (0.743)	Data 0.001 (0.119)	Loss 1.7257 (1.6329)	Prec@1 55.000 (55.976)	Prec@5 83.500 (84.262)
Epoch: [77][30/9018]	Time 0.590 (0.699)	Data 0.001 (0.082)	Loss 1.5702 (1.6219)	Prec@1 57.500 (56.274)	Prec@5 87.500 (84.452)
Epoch: [77][40/9018]	Time 0.617 (0.680)	Data 0.001 (0.063)	Loss 1.6421 (1.6253)	Prec@1 51.500 (56.085)	Prec@5 86.500 (84.598)
Epoch: [77][50/9018]	Time 0.746 (0.668)	Data 0.001 (0.051)	Loss 1.5601 (1.6250)	Prec@1 60.500 (56.373)	Prec@5 87.000 (84.539)
Epoch: [77][60/9018]	Time 0.595 (0.658)	Data 0.001 (0.043)	Loss 1.7750 (1.6343)	Prec@1 49.500 (56.139)	Prec@5 82.000 (84.221)
Epoch: [77][70/9018]	Time 0.619 (0.655)	Data 0.016 (0.037)	Loss 1.7490 (1.6374)	Prec@1 56.500 (55.986)	Prec@5 80.500 (84.254)
Epoch: [77][80/9018]	Time 0.619 (0.650)	Data 0.010 (0.033)	Loss 1.6425 (1.6387)	Prec@1 57.000 (55.963)	Prec@5 85.500 (84.296)
Epoch: [77][90/9018]	Time 0.602 (0.648)	Data 0.001 (0.030)	Loss 1.5826 (1.6366)	Prec@1 56.000 (55.929)	Prec@5 82.000 (84.269)
Epoch: [77][100/9018]	Time 0.644 (0.646)	Data 0.001 (0.027)	Loss 1.5385 (1.6398)	Prec@1 57.500 (55.792)	Prec@5 87.000 (84.272)
Epoch: [77][110/9018]	Time 0.600 (0.644)	Data 0.001 (0.025)	Loss 1.6054 (1.6429)	Prec@1 56.500 (55.608)	Prec@5 85.500 (84.167)
Epoch: [77][120/9018]	Time 0.625 (0.643)	Data 0.001 (0.023)	Loss 1.6890 (1.6474)	Prec@1 55.000 (55.570)	Prec@5 86.500 (84.083)
Epoch: [77][130/9018]	Time 0.625 (0.641)	Data 0.001 (0.021)	Loss 1.6310 (1.6465)	Prec@1 56.500 (55.588)	Prec@5 86.500 (84.168)
Epoch: [77][140/9018]	Time 0.606 (0.641)	Data 0.001 (0.020)	Loss 1.5557 (1.6451)	Prec@1 62.500 (55.674)	Prec@5 86.000 (84.234)
Epoch: [77][150/9018]	Time 0.625 (0.640)	Data 0.001 (0.019)	Loss 1.4076 (1.6457)	Prec@1 59.500 (55.626)	Prec@5 88.000 (84.242)
Epoch: [77][160/9018]	Time 0.611 (0.639)	Data 0.001 (0.018)	Loss 1.7701 (1.6462)	Prec@1 53.000 (55.602)	Prec@5 83.000 (84.239)
Epoch: [77][170/9018]	Time 0.610 (0.638)	Data 0.001 (0.017)	Loss 1.5685 (1.6443)	Prec@1 58.000 (55.705)	Prec@5 86.000 (84.289)
Epoch: [77][180/9018]	Time 0.600 (0.637)	Data 0.005 (0.016)	Loss 1.8495 (1.6488)	Prec@1 51.500 (55.693)	Prec@5 82.000 (84.171)
Epoch: [77][190/9018]	Time 0.620 (0.636)	Data 0.001 (0.015)	Loss 1.4794 (1.6480)	Prec@1 58.000 (55.775)	Prec@5 88.000 (84.212)
Epoch: [77][200/9018]	Time 0.606 (0.635)	Data 0.001 (0.015)	Loss 1.5572 (1.6467)	Prec@1 56.000 (55.791)	Prec@5 84.000 (84.231)
Epoch: [77][210/9018]	Time 0.619 (0.634)	Data 0.001 (0.014)	Loss 1.5077 (1.6472)	Prec@1 62.000 (55.756)	Prec@5 87.000 (84.246)
Epoch: [77][220/9018]	Time 0.615 (0.634)	Data 0.002 (0.014)	Loss 1.6991 (1.6487)	Prec@1 48.500 (55.726)	Prec@5 85.000 (84.247)
Epoch: [77][230/9018]	Time 0.599 (0.634)	Data 0.001 (0.013)	Loss 1.5924 (1.6460)	Prec@1 59.500 (55.779)	Prec@5 87.000 (84.294)
Epoch: [77][240/9018]	Time 0.615 (0.633)	Data 0.001 (0.013)	Loss 1.8325 (1.6451)	Prec@1 49.000 (55.793)	Prec@5 81.000 (84.307)
Epoch: [77][250/9018]	Time 0.605 (0.633)	Data 0.001 (0.012)	Loss 1.5812 (1.6458)	Prec@1 53.000 (55.755)	Prec@5 87.000 (84.329)
Epoch: [77][260/9018]	Time 0.631 (0.633)	Data 0.001 (0.012)	Loss 1.5958 (1.6438)	Prec@1 55.500 (55.814)	Prec@5 84.000 (84.387)
Epoch: [77][270/9018]	Time 0.604 (0.633)	Data 0.001 (0.012)	Loss 1.4432 (1.6427)	Prec@1 57.000 (55.790)	Prec@5 87.500 (84.400)
Epoch: [77][280/9018]	Time 0.613 (0.632)	Data 0.001 (0.011)	Loss 1.6360 (1.6420)	Prec@1 56.000 (55.806)	Prec@5 83.500 (84.413)
Epoch: [77][290/9018]	Time 0.650 (0.632)	Data 0.001 (0.011)	Loss 1.8617 (1.6433)	Prec@1 50.500 (55.780)	Prec@5 82.000 (84.399)
Epoch: [77][300/9018]	Time 0.601 (0.632)	Data 0.001 (0.011)	Loss 1.6558 (1.6430)	Prec@1 57.000 (55.816)	Prec@5 84.000 (84.385)
Epoch: [77][310/9018]	Time 0.604 (0.631)	Data 0.001 (0.010)	Loss 1.6595 (1.6405)	Prec@1 54.000 (55.852)	Prec@5 82.000 (84.439)
Epoch: [77][320/9018]	Time 0.627 (0.631)	Data 0.001 (0.010)	Loss 1.7264 (1.6412)	Prec@1 57.500 (55.826)	Prec@5 81.500 (84.427)
Epoch: [77][330/9018]	Time 0.730 (0.631)	Data 0.001 (0.010)	Loss 1.7679 (1.6428)	Prec@1 51.000 (55.792)	Prec@5 86.000 (84.403)
Epoch: [77][340/9018]	Time 0.633 (0.630)	Data 0.001 (0.010)	Loss 1.7452 (1.6438)	Prec@1 54.500 (55.767)	Prec@5 83.500 (84.368)
Epoch: [77][350/9018]	Time 0.623 (0.630)	Data 0.001 (0.009)	Loss 1.4783 (1.6427)	Prec@1 56.000 (55.779)	Prec@5 85.500 (84.392)
Epoch: [77][360/9018]	Time 0.598 (0.630)	Data 0.001 (0.009)	Loss 1.4596 (1.6426)	Prec@1 55.500 (55.759)	Prec@5 87.500 (84.392)
Epoch: [77][370/9018]	Time 0.649 (0.630)	Data 0.001 (0.009)	Loss 1.8785 (1.6439)	Prec@1 48.000 (55.744)	Prec@5 82.000 (84.392)
Epoch: [77][380/9018]	Time 0.753 (0.630)	Data 0.017 (0.009)	Loss 1.4667 (1.6434)	Prec@1 61.500 (55.804)	Prec@5 90.500 (84.417)
Epoch: [77][390/9018]	Time 0.596 (0.629)	Data 0.001 (0.009)	Loss 1.8718 (1.6447)	Prec@1 53.500 (55.785)	Prec@5 80.000 (84.387)
Epoch: [77][400/9018]	Time 0.623 (0.629)	Data 0.001 (0.009)	Loss 1.6100 (1.6436)	Prec@1 55.500 (55.809)	Prec@5 86.500 (84.400)
Epoch: [77][410/9018]	Time 0.616 (0.629)	Data 0.001 (0.008)	Loss 1.7793 (1.6442)	Prec@1 53.000 (55.782)	Prec@5 81.500 (84.380)
Epoch: [77][420/9018]	Time 0.634 (0.629)	Data 0.001 (0.008)	Loss 1.5711 (1.6450)	Prec@1 59.000 (55.774)	Prec@5 84.500 (84.373)
Epoch: [77][430/9018]	Time 0.644 (0.629)	Data 0.001 (0.008)	Loss 1.5817 (1.6464)	Prec@1 57.000 (55.755)	Prec@5 84.000 (84.336)
Epoch: [77][440/9018]	Time 0.610 (0.629)	Data 0.001 (0.008)	Loss 1.6706 (1.6460)	Prec@1 51.000 (55.751)	Prec@5 85.500 (84.350)
Epoch: [77][450/9018]	Time 0.622 (0.628)	Data 0.001 (0.008)	Loss 1.6984 (1.6461)	Prec@1 58.500 (55.763)	Prec@5 80.500 (84.357)
Epoch: [77][460/9018]	Time 0.615 (0.628)	Data 0.001 (0.008)	Loss 1.4102 (1.6457)	Prec@1 59.500 (55.774)	Prec@5 89.500 (84.374)
Epoch: [77][470/9018]	Time 0.618 (0.628)	Data 0.001 (0.008)	Loss 1.7456 (1.6455)	Prec@1 54.000 (55.782)	Prec@5 83.500 (84.385)
Epoch: [77][480/9018]	Time 0.615 (0.628)	Data 0.001 (0.008)	Loss 1.7308 (1.6452)	Prec@1 57.500 (55.815)	Prec@5 82.000 (84.409)
Epoch: [77][490/9018]	Time 0.599 (0.628)	Data 0.001 (0.007)	Loss 1.5689 (1.6467)	Prec@1 57.500 (55.767)	Prec@5 83.500 (84.376)
Epoch: [77][500/9018]	Time 0.617 (0.628)	Data 0.016 (0.007)	Loss 1.8049 (1.6470)	Prec@1 53.000 (55.763)	Prec@5 80.500 (84.380)
Epoch: [77][510/9018]	Time 0.605 (0.628)	Data 0.015 (0.007)	Loss 1.8034 (1.6482)	Prec@1 50.000 (55.744)	Prec@5 82.500 (84.377)
Epoch: [77][520/9018]	Time 0.619 (0.628)	Data 0.001 (0.007)	Loss 1.6502 (1.6490)	Prec@1 53.000 (55.712)	Prec@5 85.000 (84.372)
Epoch: [77][530/9018]	Time 0.618 (0.628)	Data 0.001 (0.007)	Loss 1.4218 (1.6493)	Prec@1 60.500 (55.701)	Prec@5 88.500 (84.374)
Epoch: [77][540/9018]	Time 0.615 (0.628)	Data 0.001 (0.007)	Loss 1.7036 (1.6499)	Prec@1 51.500 (55.689)	Prec@5 82.500 (84.352)
Epoch: [77][550/9018]	Time 0.617 (0.628)	Data 0.001 (0.007)	Loss 1.9567 (1.6491)	Prec@1 46.500 (55.699)	Prec@5 78.000 (84.364)
Epoch: [77][560/9018]	Time 0.601 (0.628)	Data 0.001 (0.007)	Loss 1.6149 (1.6483)	Prec@1 53.000 (55.705)	Prec@5 84.500 (84.373)
Epoch: [77][570/9018]	Time 0.593 (0.627)	Data 0.001 (0.007)	Loss 1.5438 (1.6477)	Prec@1 60.500 (55.739)	Prec@5 84.500 (84.370)
Epoch: [77][580/9018]	Time 0.661 (0.628)	Data 0.001 (0.007)	Loss 1.7417 (1.6479)	Prec@1 55.500 (55.725)	Prec@5 80.000 (84.356)
Epoch: [77][590/9018]	Time 0.626 (0.627)	Data 0.001 (0.007)	Loss 1.5544 (1.6484)	Prec@1 58.500 (55.708)	Prec@5 87.000 (84.340)
Epoch: [77][600/9018]	Time 0.619 (0.627)	Data 0.001 (0.007)	Loss 1.7394 (1.6484)	Prec@1 51.500 (55.717)	Prec@5 84.500 (84.356)
Epoch: [77][610/9018]	Time 0.614 (0.627)	Data 0.001 (0.006)	Loss 1.8366 (1.6492)	Prec@1 48.500 (55.677)	Prec@5 82.000 (84.347)
Epoch: [77][620/9018]	Time 0.616 (0.627)	Data 0.001 (0.006)	Loss 1.6390 (1.6491)	Prec@1 56.000 (55.662)	Prec@5 82.500 (84.353)
Epoch: [77][630/9018]	Time 0.604 (0.627)	Data 0.001 (0.006)	Loss 1.8057 (1.6499)	Prec@1 52.500 (55.655)	Prec@5 79.500 (84.336)
Epoch: [77][640/9018]	Time 0.603 (0.627)	Data 0.001 (0.006)	Loss 1.6306 (1.6502)	Prec@1 52.000 (55.641)	Prec@5 86.500 (84.352)
Epoch: [77][650/9018]	Time 0.639 (0.627)	Data 0.001 (0.006)	Loss 1.5910 (1.6504)	Prec@1 54.000 (55.618)	Prec@5 84.000 (84.338)
Epoch: [77][660/9018]	Time 0.767 (0.627)	Data 0.001 (0.006)	Loss 1.7411 (1.6500)	Prec@1 50.000 (55.620)	Prec@5 83.000 (84.362)
Epoch: [77][670/9018]	Time 0.591 (0.627)	Data 0.001 (0.006)	Loss 1.6788 (1.6508)	Prec@1 54.500 (55.609)	Prec@5 82.500 (84.341)
Epoch: [77][680/9018]	Time 0.636 (0.627)	Data 0.001 (0.006)	Loss 1.6740 (1.6516)	Prec@1 52.000 (55.584)	Prec@5 84.500 (84.320)
Epoch: [77][690/9018]	Time 0.610 (0.627)	Data 0.001 (0.006)	Loss 2.0037 (1.6512)	Prec@1 49.500 (55.595)	Prec@5 80.500 (84.325)
Epoch: [77][700/9018]	Time 0.631 (0.627)	Data 0.001 (0.006)	Loss 1.7234 (1.6513)	Prec@1 50.000 (55.580)	Prec@5 84.500 (84.328)
Epoch: [77][710/9018]	Time 0.719 (0.627)	Data 0.001 (0.006)	Loss 1.6867 (1.6510)	Prec@1 54.500 (55.594)	Prec@5 83.500 (84.328)
Epoch: [77][720/9018]	Time 0.615 (0.627)	Data 0.001 (0.006)	Loss 1.6241 (1.6514)	Prec@1 61.000 (55.596)	Prec@5 85.000 (84.313)
Epoch: [77][730/9018]	Time 0.618 (0.627)	Data 0.001 (0.006)	Loss 1.7058 (1.6508)	Prec@1 52.500 (55.600)	Prec@5 84.000 (84.326)
Epoch: [77][740/9018]	Time 0.605 (0.627)	Data 0.001 (0.006)	Loss 1.4844 (1.6510)	Prec@1 62.000 (55.607)	Prec@5 88.500 (84.325)
Epoch: [77][750/9018]	Time 0.632 (0.627)	Data 0.001 (0.006)	Loss 1.5439 (1.6505)	Prec@1 57.500 (55.607)	Prec@5 84.000 (84.336)
Epoch: [77][760/9018]	Time 0.655 (0.627)	Data 0.011 (0.006)	Loss 1.7164 (1.6508)	Prec@1 55.000 (55.581)	Prec@5 81.000 (84.324)
Epoch: [77][770/9018]	Time 0.627 (0.627)	Data 0.001 (0.006)	Loss 1.6252 (1.6513)	Prec@1 58.500 (55.567)	Prec@5 85.500 (84.310)
Epoch: [77][780/9018]	Time 0.617 (0.627)	Data 0.001 (0.006)	Loss 1.4231 (1.6510)	Prec@1 58.000 (55.574)	Prec@5 89.500 (84.319)
Epoch: [77][790/9018]	Time 0.641 (0.627)	Data 0.001 (0.006)	Loss 1.6094 (1.6509)	Prec@1 55.000 (55.576)	Prec@5 86.000 (84.335)
Epoch: [77][800/9018]	Time 0.626 (0.627)	Data 0.001 (0.006)	Loss 1.6092 (1.6510)	Prec@1 54.500 (55.572)	Prec@5 87.000 (84.340)
Epoch: [77][810/9018]	Time 0.643 (0.627)	Data 0.001 (0.006)	Loss 1.6858 (1.6510)	Prec@1 54.000 (55.568)	Prec@5 85.500 (84.350)
Epoch: [77][820/9018]	Time 0.621 (0.627)	Data 0.013 (0.005)	Loss 1.6691 (1.6510)	Prec@1 56.000 (55.546)	Prec@5 83.500 (84.339)
Epoch: [77][830/9018]	Time 0.641 (0.627)	Data 0.001 (0.005)	Loss 1.7653 (1.6514)	Prec@1 51.500 (55.530)	Prec@5 84.000 (84.331)
Epoch: [77][840/9018]	Time 0.621 (0.627)	Data 0.001 (0.005)	Loss 1.6226 (1.6515)	Prec@1 60.000 (55.539)	Prec@5 82.000 (84.326)
Epoch: [77][850/9018]	Time 0.601 (0.627)	Data 0.001 (0.005)	Loss 1.6758 (1.6524)	Prec@1 56.000 (55.522)	Prec@5 81.500 (84.301)
Epoch: [77][860/9018]	Time 0.636 (0.627)	Data 0.001 (0.005)	Loss 1.6833 (1.6526)	Prec@1 57.000 (55.520)	Prec@5 81.500 (84.301)
Epoch: [77][870/9018]	Time 0.590 (0.627)	Data 0.001 (0.005)	Loss 1.7347 (1.6522)	Prec@1 49.500 (55.522)	Prec@5 82.500 (84.299)
Epoch: [77][880/9018]	Time 0.635 (0.627)	Data 0.001 (0.005)	Loss 1.5585 (1.6519)	Prec@1 59.000 (55.533)	Prec@5 84.500 (84.300)
Epoch: [77][890/9018]	Time 0.633 (0.627)	Data 0.015 (0.005)	Loss 1.6588 (1.6516)	Prec@1 54.500 (55.538)	Prec@5 83.000 (84.317)
Epoch: [77][900/9018]	Time 0.628 (0.627)	Data 0.001 (0.005)	Loss 1.5634 (1.6519)	Prec@1 55.000 (55.534)	Prec@5 83.000 (84.307)
Epoch: [77][910/9018]	Time 0.610 (0.627)	Data 0.001 (0.005)	Loss 1.6046 (1.6515)	Prec@1 56.000 (55.543)	Prec@5 86.500 (84.316)
Epoch: [77][920/9018]	Time 0.627 (0.627)	Data 0.001 (0.005)	Loss 1.6197 (1.6519)	Prec@1 58.500 (55.532)	Prec@5 86.000 (84.306)
Epoch: [77][930/9018]	Time 0.605 (0.627)	Data 0.001 (0.005)	Loss 1.6652 (1.6527)	Prec@1 57.000 (55.508)	Prec@5 85.000 (84.305)
Epoch: [77][940/9018]	Time 0.599 (0.626)	Data 0.001 (0.005)	Loss 1.5538 (1.6532)	Prec@1 56.500 (55.503)	Prec@5 86.500 (84.300)
Epoch: [77][950/9018]	Time 0.627 (0.626)	Data 0.001 (0.005)	Loss 1.6262 (1.6531)	Prec@1 59.500 (55.511)	Prec@5 84.000 (84.307)
Epoch: [77][960/9018]	Time 0.594 (0.626)	Data 0.001 (0.005)	Loss 1.5890 (1.6524)	Prec@1 57.500 (55.536)	Prec@5 85.500 (84.315)
Epoch: [77][970/9018]	Time 0.601 (0.626)	Data 0.001 (0.005)	Loss 1.8946 (1.6524)	Prec@1 51.000 (55.535)	Prec@5 79.500 (84.317)
Epoch: [77][980/9018]	Time 0.648 (0.626)	Data 0.001 (0.005)	Loss 1.7362 (1.6532)	Prec@1 53.500 (55.533)	Prec@5 84.000 (84.302)
Epoch: [77][990/9018]	Time 0.732 (0.626)	Data 0.001 (0.005)	Loss 1.5132 (1.6533)	Prec@1 56.500 (55.524)	Prec@5 86.000 (84.303)
Epoch: [77][1000/9018]	Time 0.595 (0.626)	Data 0.001 (0.005)	Loss 1.8979 (1.6537)	Prec@1 51.500 (55.501)	Prec@5 81.500 (84.294)
Epoch: [77][1010/9018]	Time 0.610 (0.626)	Data 0.001 (0.005)	Loss 1.7607 (1.6538)	Prec@1 53.000 (55.507)	Prec@5 82.500 (84.289)
Epoch: [77][1020/9018]	Time 0.605 (0.626)	Data 0.001 (0.005)	Loss 1.4971 (1.6539)	Prec@1 59.000 (55.508)	Prec@5 89.500 (84.285)
Epoch: [77][1030/9018]	Time 0.600 (0.626)	Data 0.001 (0.005)	Loss 1.7611 (1.6543)	Prec@1 53.000 (55.509)	Prec@5 82.000 (84.276)
Epoch: [77][1040/9018]	Time 0.764 (0.626)	Data 0.005 (0.005)	Loss 1.6299 (1.6544)	Prec@1 58.000 (55.515)	Prec@5 85.500 (84.270)
Epoch: [77][1050/9018]	Time 0.601 (0.626)	Data 0.001 (0.005)	Loss 1.4435 (1.6548)	Prec@1 58.500 (55.496)	Prec@5 87.500 (84.265)
Epoch: [77][1060/9018]	Time 0.617 (0.626)	Data 0.014 (0.005)	Loss 1.6422 (1.6545)	Prec@1 57.000 (55.513)	Prec@5 85.500 (84.268)
Epoch: [77][1070/9018]	Time 0.596 (0.626)	Data 0.001 (0.005)	Loss 1.5838 (1.6548)	Prec@1 57.500 (55.515)	Prec@5 84.500 (84.261)
Epoch: [77][1080/9018]	Time 0.600 (0.626)	Data 0.001 (0.005)	Loss 1.7629 (1.6548)	Prec@1 51.500 (55.506)	Prec@5 82.000 (84.260)
Epoch: [77][1090/9018]	Time 0.593 (0.626)	Data 0.015 (0.005)	Loss 1.7152 (1.6545)	Prec@1 52.500 (55.510)	Prec@5 82.500 (84.256)
Epoch: [77][1100/9018]	Time 0.604 (0.626)	Data 0.001 (0.005)	Loss 1.5811 (1.6542)	Prec@1 55.500 (55.512)	Prec@5 88.000 (84.270)
Epoch: [77][1110/9018]	Time 0.617 (0.626)	Data 0.001 (0.005)	Loss 1.7524 (1.6537)	Prec@1 51.500 (55.536)	Prec@5 84.000 (84.272)
Epoch: [77][1120/9018]	Time 0.624 (0.626)	Data 0.001 (0.005)	Loss 1.5888 (1.6540)	Prec@1 58.500 (55.529)	Prec@5 85.000 (84.267)
Epoch: [77][1130/9018]	Time 0.612 (0.626)	Data 0.001 (0.005)	Loss 1.6323 (1.6542)	Prec@1 58.500 (55.519)	Prec@5 83.500 (84.255)
Epoch: [77][1140/9018]	Time 0.599 (0.626)	Data 0.001 (0.005)	Loss 1.5716 (1.6539)	Prec@1 58.500 (55.545)	Prec@5 86.000 (84.254)
Epoch: [77][1150/9018]	Time 0.616 (0.626)	Data 0.001 (0.005)	Loss 1.9110 (1.6541)	Prec@1 50.500 (55.538)	Prec@5 83.500 (84.258)
Epoch: [77][1160/9018]	Time 0.619 (0.626)	Data 0.002 (0.005)	Loss 1.5626 (1.6541)	Prec@1 56.000 (55.525)	Prec@5 85.000 (84.260)
Epoch: [77][1170/9018]	Time 0.593 (0.626)	Data 0.001 (0.005)	Loss 1.6886 (1.6539)	Prec@1 56.500 (55.529)	Prec@5 84.000 (84.261)
Epoch: [77][1180/9018]	Time 0.620 (0.626)	Data 0.001 (0.005)	Loss 1.4509 (1.6539)	Prec@1 63.000 (55.523)	Prec@5 84.500 (84.260)
Epoch: [77][1190/9018]	Time 0.606 (0.626)	Data 0.001 (0.005)	Loss 1.6809 (1.6544)	Prec@1 55.500 (55.521)	Prec@5 83.000 (84.243)
Epoch: [77][1200/9018]	Time 0.609 (0.626)	Data 0.001 (0.005)	Loss 1.6494 (1.6545)	Prec@1 57.000 (55.513)	Prec@5 83.500 (84.249)
Epoch: [77][1210/9018]	Time 0.608 (0.626)	Data 0.001 (0.005)	Loss 1.4621 (1.6544)	Prec@1 63.500 (55.521)	Prec@5 89.500 (84.256)
Epoch: [77][1220/9018]	Time 0.665 (0.626)	Data 0.001 (0.005)	Loss 1.5831 (1.6542)	Prec@1 56.000 (55.518)	Prec@5 86.000 (84.258)
Epoch: [77][1230/9018]	Time 0.597 (0.626)	Data 0.001 (0.004)	Loss 1.6928 (1.6545)	Prec@1 56.000 (55.522)	Prec@5 83.000 (84.253)
Epoch: [77][1240/9018]	Time 0.629 (0.626)	Data 0.001 (0.004)	Loss 1.5784 (1.6542)	Prec@1 59.500 (55.523)	Prec@5 85.500 (84.267)
Epoch: [77][1250/9018]	Time 0.618 (0.626)	Data 0.001 (0.004)	Loss 1.4776 (1.6545)	Prec@1 58.000 (55.513)	Prec@5 88.000 (84.260)
Epoch: [77][1260/9018]	Time 0.634 (0.626)	Data 0.001 (0.004)	Loss 1.7221 (1.6544)	Prec@1 55.000 (55.510)	Prec@5 82.000 (84.265)
Epoch: [77][1270/9018]	Time 0.627 (0.626)	Data 0.017 (0.004)	Loss 1.9946 (1.6550)	Prec@1 50.500 (55.503)	Prec@5 77.000 (84.249)
Epoch: [77][1280/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.5838 (1.6551)	Prec@1 59.500 (55.500)	Prec@5 87.000 (84.250)
Epoch: [77][1290/9018]	Time 0.613 (0.626)	Data 0.002 (0.004)	Loss 1.6104 (1.6558)	Prec@1 53.000 (55.479)	Prec@5 84.000 (84.244)
Epoch: [77][1300/9018]	Time 0.644 (0.626)	Data 0.014 (0.004)	Loss 1.7340 (1.6561)	Prec@1 51.000 (55.475)	Prec@5 83.500 (84.241)
Epoch: [77][1310/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.6293 (1.6560)	Prec@1 55.000 (55.469)	Prec@5 84.500 (84.241)
Epoch: [77][1320/9018]	Time 0.739 (0.626)	Data 0.001 (0.004)	Loss 1.8084 (1.6562)	Prec@1 53.500 (55.464)	Prec@5 80.500 (84.238)
Epoch: [77][1330/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.5299 (1.6567)	Prec@1 60.500 (55.454)	Prec@5 85.500 (84.232)
Epoch: [77][1340/9018]	Time 0.607 (0.626)	Data 0.001 (0.004)	Loss 1.7579 (1.6568)	Prec@1 55.500 (55.455)	Prec@5 81.000 (84.227)
Epoch: [77][1350/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.4355 (1.6567)	Prec@1 58.500 (55.449)	Prec@5 88.500 (84.233)
Epoch: [77][1360/9018]	Time 0.623 (0.626)	Data 0.001 (0.004)	Loss 1.7552 (1.6574)	Prec@1 51.500 (55.428)	Prec@5 83.500 (84.218)
Epoch: [77][1370/9018]	Time 0.746 (0.626)	Data 0.001 (0.004)	Loss 1.6497 (1.6574)	Prec@1 57.500 (55.427)	Prec@5 85.500 (84.220)
Epoch: [77][1380/9018]	Time 0.639 (0.626)	Data 0.001 (0.004)	Loss 1.7791 (1.6574)	Prec@1 49.500 (55.429)	Prec@5 82.500 (84.216)
Epoch: [77][1390/9018]	Time 0.614 (0.626)	Data 0.015 (0.004)	Loss 1.5987 (1.6572)	Prec@1 54.500 (55.430)	Prec@5 85.500 (84.222)
Epoch: [77][1400/9018]	Time 0.597 (0.626)	Data 0.001 (0.004)	Loss 1.7374 (1.6568)	Prec@1 54.500 (55.444)	Prec@5 85.500 (84.228)
Epoch: [77][1410/9018]	Time 0.609 (0.626)	Data 0.001 (0.004)	Loss 1.6421 (1.6566)	Prec@1 52.500 (55.447)	Prec@5 86.500 (84.232)
Epoch: [77][1420/9018]	Time 0.627 (0.626)	Data 0.004 (0.004)	Loss 1.7741 (1.6567)	Prec@1 55.500 (55.447)	Prec@5 84.000 (84.236)
Epoch: [77][1430/9018]	Time 0.600 (0.626)	Data 0.001 (0.004)	Loss 1.6525 (1.6563)	Prec@1 58.000 (55.458)	Prec@5 85.500 (84.248)
Epoch: [77][1440/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.6779 (1.6562)	Prec@1 54.500 (55.465)	Prec@5 86.000 (84.239)
Epoch: [77][1450/9018]	Time 0.626 (0.626)	Data 0.001 (0.004)	Loss 1.7670 (1.6560)	Prec@1 55.500 (55.473)	Prec@5 81.500 (84.239)
Epoch: [77][1460/9018]	Time 0.622 (0.626)	Data 0.001 (0.004)	Loss 1.6874 (1.6563)	Prec@1 52.500 (55.469)	Prec@5 85.000 (84.235)
Epoch: [77][1470/9018]	Time 0.612 (0.626)	Data 0.001 (0.004)	Loss 1.5384 (1.6567)	Prec@1 59.500 (55.463)	Prec@5 84.500 (84.223)
Epoch: [77][1480/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.7543 (1.6564)	Prec@1 50.000 (55.468)	Prec@5 82.000 (84.230)
Epoch: [77][1490/9018]	Time 0.610 (0.626)	Data 0.001 (0.004)	Loss 1.4063 (1.6562)	Prec@1 59.500 (55.471)	Prec@5 88.500 (84.232)
Epoch: [77][1500/9018]	Time 0.617 (0.626)	Data 0.001 (0.004)	Loss 1.7757 (1.6559)	Prec@1 57.000 (55.481)	Prec@5 83.500 (84.239)
Epoch: [77][1510/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.6767 (1.6563)	Prec@1 51.500 (55.471)	Prec@5 83.000 (84.233)
Epoch: [77][1520/9018]	Time 0.603 (0.626)	Data 0.001 (0.004)	Loss 1.8564 (1.6562)	Prec@1 54.500 (55.482)	Prec@5 80.500 (84.228)
Epoch: [77][1530/9018]	Time 0.608 (0.626)	Data 0.001 (0.004)	Loss 1.6768 (1.6564)	Prec@1 52.000 (55.467)	Prec@5 82.500 (84.226)
Epoch: [77][1540/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.6952 (1.6564)	Prec@1 57.000 (55.469)	Prec@5 84.500 (84.228)
Epoch: [77][1550/9018]	Time 0.626 (0.626)	Data 0.001 (0.004)	Loss 1.6912 (1.6561)	Prec@1 59.000 (55.481)	Prec@5 82.000 (84.234)
Epoch: [77][1560/9018]	Time 0.620 (0.626)	Data 0.001 (0.004)	Loss 1.6266 (1.6559)	Prec@1 53.500 (55.484)	Prec@5 84.000 (84.241)
Epoch: [77][1570/9018]	Time 0.601 (0.626)	Data 0.001 (0.004)	Loss 1.7275 (1.6563)	Prec@1 54.000 (55.477)	Prec@5 83.000 (84.230)
Epoch: [77][1580/9018]	Time 0.614 (0.626)	Data 0.001 (0.004)	Loss 1.4335 (1.6559)	Prec@1 62.500 (55.489)	Prec@5 85.500 (84.234)
Epoch: [77][1590/9018]	Time 0.628 (0.626)	Data 0.001 (0.004)	Loss 2.0311 (1.6560)	Prec@1 49.000 (55.488)	Prec@5 79.000 (84.233)
Epoch: [77][1600/9018]	Time 0.621 (0.626)	Data 0.001 (0.004)	Loss 1.8239 (1.6561)	Prec@1 54.000 (55.481)	Prec@5 80.000 (84.230)
Epoch: [77][1610/9018]	Time 0.613 (0.626)	Data 0.001 (0.004)	Loss 1.8016 (1.6565)	Prec@1 56.500 (55.480)	Prec@5 84.500 (84.220)
Epoch: [77][1620/9018]	Time 0.605 (0.626)	Data 0.001 (0.004)	Loss 1.7482 (1.6567)	Prec@1 53.000 (55.471)	Prec@5 83.000 (84.216)
Epoch: [77][1630/9018]	Time 0.636 (0.626)	Data 0.001 (0.004)	Loss 1.6148 (1.6568)	Prec@1 56.500 (55.470)	Prec@5 87.000 (84.217)
Epoch: [77][1640/9018]	Time 0.604 (0.626)	Data 0.001 (0.004)	Loss 1.7927 (1.6569)	Prec@1 50.500 (55.466)	Prec@5 81.000 (84.215)
Epoch: [77][1650/9018]	Time 0.835 (0.626)	Data 0.001 (0.004)	Loss 1.5551 (1.6573)	Prec@1 56.500 (55.451)	Prec@5 87.000 (84.214)
Epoch: [77][1660/9018]	Time 0.598 (0.626)	Data 0.001 (0.004)	Loss 1.6958 (1.6574)	Prec@1 58.500 (55.446)	Prec@5 82.000 (84.207)
Epoch: [77][1670/9018]	Time 0.611 (0.626)	Data 0.001 (0.004)	Loss 1.7300 (1.6580)	Prec@1 53.000 (55.427)	Prec@5 84.000 (84.197)
Epoch: [77][1680/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.8042 (1.6581)	Prec@1 56.000 (55.431)	Prec@5 78.500 (84.196)
Epoch: [77][1690/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.7322 (1.6586)	Prec@1 55.000 (55.417)	Prec@5 83.000 (84.187)
Epoch: [77][1700/9018]	Time 0.750 (0.625)	Data 0.001 (0.004)	Loss 1.8678 (1.6587)	Prec@1 50.000 (55.412)	Prec@5 84.000 (84.187)
Epoch: [77][1710/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.6129 (1.6589)	Prec@1 55.500 (55.405)	Prec@5 82.000 (84.178)
Epoch: [77][1720/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.5674 (1.6589)	Prec@1 50.500 (55.412)	Prec@5 86.500 (84.182)
Epoch: [77][1730/9018]	Time 0.641 (0.625)	Data 0.001 (0.004)	Loss 1.7025 (1.6590)	Prec@1 57.500 (55.410)	Prec@5 85.000 (84.183)
Epoch: [77][1740/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.8169 (1.6590)	Prec@1 55.500 (55.411)	Prec@5 78.000 (84.179)
Epoch: [77][1750/9018]	Time 0.659 (0.625)	Data 0.001 (0.004)	Loss 1.4237 (1.6587)	Prec@1 62.500 (55.426)	Prec@5 86.500 (84.181)
Epoch: [77][1760/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7474 (1.6590)	Prec@1 52.000 (55.414)	Prec@5 84.500 (84.175)
Epoch: [77][1770/9018]	Time 0.592 (0.625)	Data 0.001 (0.004)	Loss 1.9129 (1.6594)	Prec@1 51.000 (55.407)	Prec@5 78.500 (84.171)
Epoch: [77][1780/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.7227 (1.6595)	Prec@1 52.500 (55.402)	Prec@5 80.500 (84.165)
Epoch: [77][1790/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.5836 (1.6593)	Prec@1 55.500 (55.405)	Prec@5 87.000 (84.169)
Epoch: [77][1800/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.4615 (1.6592)	Prec@1 58.500 (55.410)	Prec@5 88.500 (84.166)
Epoch: [77][1810/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.8115 (1.6595)	Prec@1 50.500 (55.398)	Prec@5 84.500 (84.165)
Epoch: [77][1820/9018]	Time 0.615 (0.625)	Data 0.001 (0.004)	Loss 1.3859 (1.6591)	Prec@1 62.500 (55.400)	Prec@5 85.500 (84.166)
Epoch: [77][1830/9018]	Time 0.622 (0.625)	Data 0.001 (0.004)	Loss 1.6002 (1.6593)	Prec@1 60.500 (55.400)	Prec@5 84.500 (84.163)
Epoch: [77][1840/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.8415 (1.6594)	Prec@1 52.500 (55.395)	Prec@5 82.000 (84.165)
Epoch: [77][1850/9018]	Time 0.653 (0.625)	Data 0.003 (0.004)	Loss 1.5568 (1.6590)	Prec@1 59.000 (55.406)	Prec@5 83.500 (84.173)
Epoch: [77][1860/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.6689 (1.6590)	Prec@1 57.500 (55.411)	Prec@5 81.500 (84.168)
Epoch: [77][1870/9018]	Time 0.621 (0.625)	Data 0.001 (0.004)	Loss 1.4532 (1.6586)	Prec@1 63.000 (55.425)	Prec@5 88.500 (84.177)
Epoch: [77][1880/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.5740 (1.6584)	Prec@1 57.000 (55.432)	Prec@5 85.500 (84.183)
Epoch: [77][1890/9018]	Time 0.632 (0.625)	Data 0.001 (0.004)	Loss 1.7967 (1.6582)	Prec@1 52.000 (55.433)	Prec@5 80.500 (84.185)
Epoch: [77][1900/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.8348 (1.6584)	Prec@1 53.000 (55.431)	Prec@5 80.000 (84.183)
Epoch: [77][1910/9018]	Time 0.604 (0.625)	Data 0.001 (0.004)	Loss 1.6369 (1.6587)	Prec@1 56.500 (55.421)	Prec@5 86.000 (84.179)
Epoch: [77][1920/9018]	Time 0.624 (0.625)	Data 0.001 (0.004)	Loss 1.4720 (1.6588)	Prec@1 63.000 (55.423)	Prec@5 87.000 (84.177)
Epoch: [77][1930/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.6531 (1.6588)	Prec@1 56.500 (55.431)	Prec@5 89.500 (84.177)
Epoch: [77][1940/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.5242 (1.6587)	Prec@1 58.500 (55.432)	Prec@5 90.000 (84.181)
Epoch: [77][1950/9018]	Time 0.651 (0.625)	Data 0.015 (0.004)	Loss 1.2848 (1.6585)	Prec@1 62.500 (55.435)	Prec@5 88.500 (84.183)
Epoch: [77][1960/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.7927 (1.6587)	Prec@1 51.500 (55.429)	Prec@5 82.000 (84.179)
Epoch: [77][1970/9018]	Time 0.617 (0.625)	Data 0.001 (0.004)	Loss 1.6933 (1.6588)	Prec@1 52.500 (55.422)	Prec@5 86.500 (84.181)
Epoch: [77][1980/9018]	Time 0.764 (0.625)	Data 0.001 (0.004)	Loss 1.6258 (1.6588)	Prec@1 62.000 (55.419)	Prec@5 82.000 (84.179)
Epoch: [77][1990/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.3584 (1.6588)	Prec@1 62.000 (55.418)	Prec@5 88.000 (84.175)
Epoch: [77][2000/9018]	Time 0.597 (0.625)	Data 0.001 (0.004)	Loss 1.7706 (1.6588)	Prec@1 47.500 (55.419)	Prec@5 81.500 (84.170)
Epoch: [77][2010/9018]	Time 0.589 (0.625)	Data 0.001 (0.004)	Loss 1.6196 (1.6587)	Prec@1 56.500 (55.422)	Prec@5 85.000 (84.173)
Epoch: [77][2020/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.7627 (1.6589)	Prec@1 54.000 (55.417)	Prec@5 76.500 (84.169)
Epoch: [77][2030/9018]	Time 0.729 (0.625)	Data 0.001 (0.004)	Loss 1.6341 (1.6591)	Prec@1 56.000 (55.416)	Prec@5 83.500 (84.162)
Epoch: [77][2040/9018]	Time 0.610 (0.625)	Data 0.001 (0.004)	Loss 1.9017 (1.6594)	Prec@1 49.500 (55.407)	Prec@5 80.000 (84.159)
Epoch: [77][2050/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.5753 (1.6594)	Prec@1 56.500 (55.402)	Prec@5 86.500 (84.159)
Epoch: [77][2060/9018]	Time 0.608 (0.625)	Data 0.001 (0.004)	Loss 1.6203 (1.6595)	Prec@1 60.000 (55.400)	Prec@5 80.000 (84.155)
Epoch: [77][2070/9018]	Time 0.655 (0.625)	Data 0.016 (0.004)	Loss 1.7419 (1.6597)	Prec@1 55.000 (55.397)	Prec@5 82.500 (84.154)
Epoch: [77][2080/9018]	Time 0.613 (0.625)	Data 0.001 (0.004)	Loss 1.6786 (1.6596)	Prec@1 55.000 (55.400)	Prec@5 84.500 (84.154)
Epoch: [77][2090/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.7028 (1.6597)	Prec@1 54.000 (55.396)	Prec@5 81.500 (84.155)
Epoch: [77][2100/9018]	Time 0.618 (0.625)	Data 0.015 (0.004)	Loss 1.8425 (1.6596)	Prec@1 53.000 (55.398)	Prec@5 80.000 (84.156)
Epoch: [77][2110/9018]	Time 0.616 (0.625)	Data 0.001 (0.004)	Loss 1.6545 (1.6600)	Prec@1 53.500 (55.389)	Prec@5 84.000 (84.148)
Epoch: [77][2120/9018]	Time 0.635 (0.625)	Data 0.001 (0.004)	Loss 1.8684 (1.6600)	Prec@1 48.500 (55.389)	Prec@5 79.500 (84.144)
Epoch: [77][2130/9018]	Time 0.618 (0.625)	Data 0.001 (0.004)	Loss 1.5426 (1.6600)	Prec@1 57.500 (55.389)	Prec@5 87.500 (84.144)
Epoch: [77][2140/9018]	Time 0.612 (0.625)	Data 0.001 (0.004)	Loss 1.8390 (1.6602)	Prec@1 55.500 (55.388)	Prec@5 79.500 (84.137)
Epoch: [77][2150/9018]	Time 0.611 (0.625)	Data 0.014 (0.004)	Loss 1.6788 (1.6603)	Prec@1 55.000 (55.389)	Prec@5 84.000 (84.135)
Epoch: [77][2160/9018]	Time 0.603 (0.625)	Data 0.001 (0.004)	Loss 1.6389 (1.6607)	Prec@1 56.500 (55.379)	Prec@5 84.500 (84.127)
Epoch: [77][2170/9018]	Time 0.614 (0.625)	Data 0.001 (0.004)	Loss 1.9894 (1.6606)	Prec@1 51.000 (55.381)	Prec@5 78.000 (84.131)
Epoch: [77][2180/9018]	Time 0.593 (0.625)	Data 0.001 (0.004)	Loss 1.8395 (1.6606)	Prec@1 53.500 (55.382)	Prec@5 82.000 (84.132)
Epoch: [77][2190/9018]	Time 0.607 (0.625)	Data 0.001 (0.004)	Loss 1.4085 (1.6601)	Prec@1 63.000 (55.396)	Prec@5 88.500 (84.138)
Epoch: [77][2200/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.6487 (1.6599)	Prec@1 56.500 (55.401)	Prec@5 88.000 (84.148)
Epoch: [77][2210/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.6527 (1.6600)	Prec@1 58.500 (55.400)	Prec@5 85.500 (84.147)
Epoch: [77][2220/9018]	Time 0.600 (0.625)	Data 0.001 (0.004)	Loss 1.9101 (1.6600)	Prec@1 51.000 (55.400)	Prec@5 78.500 (84.145)
Epoch: [77][2230/9018]	Time 0.635 (0.625)	Data 0.013 (0.004)	Loss 1.6761 (1.6599)	Prec@1 59.500 (55.408)	Prec@5 83.000 (84.146)
Epoch: [77][2240/9018]	Time 0.625 (0.625)	Data 0.001 (0.004)	Loss 1.7347 (1.6599)	Prec@1 53.500 (55.408)	Prec@5 85.000 (84.145)
Epoch: [77][2250/9018]	Time 0.596 (0.625)	Data 0.001 (0.004)	Loss 1.6275 (1.6602)	Prec@1 54.500 (55.398)	Prec@5 84.500 (84.143)
Epoch: [77][2260/9018]	Time 0.601 (0.625)	Data 0.001 (0.004)	Loss 1.8735 (1.6601)	Prec@1 52.000 (55.404)	Prec@5 81.000 (84.142)
Epoch: [77][2270/9018]	Time 0.629 (0.625)	Data 0.001 (0.004)	Loss 1.7398 (1.6602)	Prec@1 54.000 (55.404)	Prec@5 82.500 (84.142)
Epoch: [77][2280/9018]	Time 0.639 (0.625)	Data 0.001 (0.004)	Loss 1.6694 (1.6601)	Prec@1 58.500 (55.408)	Prec@5 84.000 (84.144)
Epoch: [77][2290/9018]	Time 0.623 (0.625)	Data 0.001 (0.004)	Loss 1.7888 (1.6603)	Prec@1 52.500 (55.400)	Prec@5 82.500 (84.139)
Epoch: [77][2300/9018]	Time 0.630 (0.625)	Data 0.001 (0.004)	Loss 1.7106 (1.6605)	Prec@1 54.500 (55.396)	Prec@5 85.500 (84.134)
Epoch: [77][2310/9018]	Time 0.792 (0.625)	Data 0.001 (0.004)	Loss 1.5127 (1.6608)	Prec@1 58.000 (55.393)	Prec@5 87.500 (84.128)
Epoch: [77][2320/9018]	Time 0.588 (0.625)	Data 0.001 (0.004)	Loss 1.8871 (1.6610)	Prec@1 48.000 (55.385)	Prec@5 81.500 (84.128)
Epoch: [77][2330/9018]	Time 0.609 (0.625)	Data 0.001 (0.004)	Loss 1.6177 (1.6611)	Prec@1 58.500 (55.382)	Prec@5 81.500 (84.131)
Epoch: [77][2340/9018]	Time 0.634 (0.625)	Data 0.001 (0.004)	Loss 1.6814 (1.6611)	Prec@1 57.500 (55.388)	Prec@5 82.500 (84.133)
Epoch: [77][2350/9018]	Time 0.651 (0.625)	Data 0.001 (0.004)	Loss 1.6627 (1.6607)	Prec@1 57.500 (55.397)	Prec@5 84.500 (84.140)
Epoch: [77][2360/9018]	Time 0.740 (0.625)	Data 0.001 (0.004)	Loss 1.4979 (1.6604)	Prec@1 57.500 (55.404)	Prec@5 86.500 (84.143)
Epoch: [77][2370/9018]	Time 0.591 (0.625)	Data 0.001 (0.004)	Loss 1.5823 (1.6601)	Prec@1 62.500 (55.413)	Prec@5 83.500 (84.144)
Epoch: [77][2380/9018]	Time 0.655 (0.625)	Data 0.015 (0.004)	Loss 1.7402 (1.6605)	Prec@1 55.000 (55.409)	Prec@5 83.000 (84.138)
Epoch: [77][2390/9018]	Time 0.599 (0.625)	Data 0.001 (0.004)	Loss 1.4478 (1.6603)	Prec@1 59.000 (55.414)	Prec@5 89.000 (84.143)
Epoch: [77][2400/9018]	Time 0.604 (0.625)	Data 0.006 (0.004)	Loss 1.5512 (1.6604)	Prec@1 57.000 (55.415)	Prec@5 87.000 (84.139)
Epoch: [77][2410/9018]	Time 0.619 (0.625)	Data 0.001 (0.004)	Loss 1.8592 (1.6606)	Prec@1 51.500 (55.409)	Prec@5 79.500 (84.135)
Epoch: [77][2420/9018]	Time 0.602 (0.625)	Data 0.001 (0.004)	Loss 1.5886 (1.6605)	Prec@1 56.000 (55.412)	Prec@5 88.000 (84.139)
Epoch: [77][2430/9018]	Time 0.636 (0.625)	Data 0.017 (0.004)	Loss 1.6793 (1.6605)	Prec@1 56.500 (55.411)	Prec@5 82.000 (84.137)
Epoch: [77][2440/9018]	Time 0.628 (0.625)	Data 0.001 (0.004)	Loss 1.6497 (1.6603)	Prec@1 59.500 (55.410)	Prec@5 82.500 (84.141)
Epoch: [77][2450/9018]	Time 0.645 (0.625)	Data 0.001 (0.004)	Loss 1.6744 (1.6602)	Prec@1 57.000 (55.411)	Prec@5 84.500 (84.144)
Epoch: [77][2460/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.8902 (1.6604)	Prec@1 49.000 (55.402)	Prec@5 80.000 (84.140)
Epoch: [77][2470/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.6793 (1.6606)	Prec@1 51.000 (55.397)	Prec@5 86.500 (84.138)
Epoch: [77][2480/9018]	Time 0.654 (0.625)	Data 0.001 (0.004)	Loss 1.6367 (1.6607)	Prec@1 52.500 (55.397)	Prec@5 81.000 (84.132)
Epoch: [77][2490/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 1.6708 (1.6608)	Prec@1 51.500 (55.392)	Prec@5 81.500 (84.131)
Epoch: [77][2500/9018]	Time 0.611 (0.625)	Data 0.001 (0.004)	Loss 1.6806 (1.6608)	Prec@1 53.000 (55.394)	Prec@5 86.000 (84.130)
Epoch: [77][2510/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.7327 (1.6607)	Prec@1 54.000 (55.393)	Prec@5 82.500 (84.133)
Epoch: [77][2520/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.8046 (1.6608)	Prec@1 54.000 (55.390)	Prec@5 80.000 (84.127)
Epoch: [77][2530/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.7723 (1.6608)	Prec@1 52.000 (55.388)	Prec@5 80.000 (84.124)
Epoch: [77][2540/9018]	Time 0.601 (0.625)	Data 0.010 (0.003)	Loss 1.5093 (1.6609)	Prec@1 60.500 (55.389)	Prec@5 84.000 (84.124)
Epoch: [77][2550/9018]	Time 0.641 (0.625)	Data 0.015 (0.003)	Loss 1.5878 (1.6608)	Prec@1 55.000 (55.391)	Prec@5 85.000 (84.124)
Epoch: [77][2560/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.7262 (1.6608)	Prec@1 51.500 (55.388)	Prec@5 85.500 (84.130)
Epoch: [77][2570/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.6558 (1.6607)	Prec@1 53.500 (55.385)	Prec@5 85.500 (84.133)
Epoch: [77][2580/9018]	Time 0.636 (0.625)	Data 0.015 (0.003)	Loss 1.8545 (1.6611)	Prec@1 50.500 (55.371)	Prec@5 79.000 (84.129)
Epoch: [77][2590/9018]	Time 0.661 (0.625)	Data 0.014 (0.003)	Loss 1.7620 (1.6610)	Prec@1 53.000 (55.371)	Prec@5 84.500 (84.131)
Epoch: [77][2600/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.5678 (1.6610)	Prec@1 60.500 (55.374)	Prec@5 84.500 (84.132)
Epoch: [77][2610/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.6453 (1.6614)	Prec@1 53.500 (55.362)	Prec@5 85.500 (84.123)
Epoch: [77][2620/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.8159 (1.6614)	Prec@1 51.000 (55.367)	Prec@5 81.000 (84.125)
Epoch: [77][2630/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.3451 (1.6611)	Prec@1 60.000 (55.369)	Prec@5 87.000 (84.129)
Epoch: [77][2640/9018]	Time 0.705 (0.625)	Data 0.001 (0.003)	Loss 1.6897 (1.6613)	Prec@1 56.500 (55.366)	Prec@5 84.500 (84.128)
Epoch: [77][2650/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.6325 (1.6614)	Prec@1 54.500 (55.363)	Prec@5 83.000 (84.124)
Epoch: [77][2660/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.6466 (1.6614)	Prec@1 52.000 (55.365)	Prec@5 87.000 (84.125)
Epoch: [77][2670/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.8145 (1.6614)	Prec@1 50.500 (55.365)	Prec@5 83.000 (84.126)
Epoch: [77][2680/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.5650 (1.6614)	Prec@1 61.000 (55.371)	Prec@5 87.000 (84.125)
Epoch: [77][2690/9018]	Time 0.764 (0.625)	Data 0.001 (0.003)	Loss 1.6073 (1.6614)	Prec@1 53.500 (55.367)	Prec@5 83.500 (84.127)
Epoch: [77][2700/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.3993 (1.6612)	Prec@1 61.500 (55.369)	Prec@5 88.000 (84.132)
Epoch: [77][2710/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.5145 (1.6612)	Prec@1 60.000 (55.373)	Prec@5 85.000 (84.135)
Epoch: [77][2720/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.5464 (1.6610)	Prec@1 59.000 (55.375)	Prec@5 84.500 (84.137)
Epoch: [77][2730/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.7042 (1.6610)	Prec@1 51.500 (55.377)	Prec@5 84.500 (84.141)
Epoch: [77][2740/9018]	Time 0.643 (0.625)	Data 0.001 (0.003)	Loss 1.7483 (1.6607)	Prec@1 54.500 (55.383)	Prec@5 86.500 (84.144)
Epoch: [77][2750/9018]	Time 0.608 (0.625)	Data 0.004 (0.003)	Loss 1.4068 (1.6608)	Prec@1 66.000 (55.383)	Prec@5 87.000 (84.139)
Epoch: [77][2760/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.4028 (1.6608)	Prec@1 62.000 (55.383)	Prec@5 89.000 (84.141)
Epoch: [77][2770/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.6127 (1.6608)	Prec@1 58.000 (55.384)	Prec@5 85.000 (84.140)
Epoch: [77][2780/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.7568 (1.6608)	Prec@1 47.500 (55.384)	Prec@5 84.000 (84.140)
Epoch: [77][2790/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.4809 (1.6607)	Prec@1 65.500 (55.387)	Prec@5 87.000 (84.142)
Epoch: [77][2800/9018]	Time 0.654 (0.625)	Data 0.001 (0.003)	Loss 1.5378 (1.6608)	Prec@1 56.000 (55.392)	Prec@5 82.500 (84.137)
Epoch: [77][2810/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.7094 (1.6608)	Prec@1 55.500 (55.385)	Prec@5 82.500 (84.137)
Epoch: [77][2820/9018]	Time 0.646 (0.625)	Data 0.015 (0.003)	Loss 1.6748 (1.6608)	Prec@1 54.000 (55.388)	Prec@5 82.500 (84.137)
Epoch: [77][2830/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.6729 (1.6606)	Prec@1 57.000 (55.392)	Prec@5 82.000 (84.138)
Epoch: [77][2840/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.6587 (1.6607)	Prec@1 56.000 (55.389)	Prec@5 81.500 (84.134)
Epoch: [77][2850/9018]	Time 0.638 (0.625)	Data 0.014 (0.003)	Loss 1.6920 (1.6606)	Prec@1 56.500 (55.393)	Prec@5 84.000 (84.134)
Epoch: [77][2860/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.8516 (1.6610)	Prec@1 54.000 (55.387)	Prec@5 79.500 (84.125)
Epoch: [77][2870/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.7126 (1.6609)	Prec@1 54.500 (55.386)	Prec@5 85.000 (84.128)
Epoch: [77][2880/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.6914 (1.6610)	Prec@1 54.500 (55.382)	Prec@5 82.500 (84.129)
Epoch: [77][2890/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.8833 (1.6611)	Prec@1 46.500 (55.377)	Prec@5 82.000 (84.127)
Epoch: [77][2900/9018]	Time 0.606 (0.625)	Data 0.012 (0.003)	Loss 1.5940 (1.6611)	Prec@1 55.000 (55.378)	Prec@5 86.500 (84.130)
Epoch: [77][2910/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 1.5953 (1.6612)	Prec@1 58.500 (55.378)	Prec@5 84.500 (84.132)
Epoch: [77][2920/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.8455 (1.6614)	Prec@1 52.000 (55.371)	Prec@5 79.500 (84.127)
Epoch: [77][2930/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.6013 (1.6612)	Prec@1 56.500 (55.375)	Prec@5 85.000 (84.129)
Epoch: [77][2940/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.8342 (1.6614)	Prec@1 50.000 (55.371)	Prec@5 81.000 (84.129)
Epoch: [77][2950/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.7784 (1.6612)	Prec@1 53.500 (55.377)	Prec@5 82.000 (84.128)
Epoch: [77][2960/9018]	Time 0.637 (0.625)	Data 0.014 (0.003)	Loss 1.6972 (1.6613)	Prec@1 53.500 (55.376)	Prec@5 83.000 (84.129)
Epoch: [77][2970/9018]	Time 0.757 (0.625)	Data 0.001 (0.003)	Loss 1.5849 (1.6612)	Prec@1 56.000 (55.380)	Prec@5 85.500 (84.130)
Epoch: [77][2980/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.8968 (1.6613)	Prec@1 46.000 (55.376)	Prec@5 82.000 (84.129)
Epoch: [77][2990/9018]	Time 0.620 (0.625)	Data 0.016 (0.003)	Loss 1.7651 (1.6613)	Prec@1 53.000 (55.371)	Prec@5 81.500 (84.128)
Epoch: [77][3000/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.8263 (1.6614)	Prec@1 52.500 (55.365)	Prec@5 82.000 (84.124)
Epoch: [77][3010/9018]	Time 0.664 (0.625)	Data 0.001 (0.003)	Loss 1.4745 (1.6612)	Prec@1 58.000 (55.367)	Prec@5 88.000 (84.128)
Epoch: [77][3020/9018]	Time 0.779 (0.625)	Data 0.016 (0.003)	Loss 1.6288 (1.6609)	Prec@1 56.000 (55.375)	Prec@5 83.500 (84.134)
Epoch: [77][3030/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.6813 (1.6608)	Prec@1 56.000 (55.380)	Prec@5 83.000 (84.137)
Epoch: [77][3040/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.5965 (1.6608)	Prec@1 52.000 (55.378)	Prec@5 85.000 (84.135)
Epoch: [77][3050/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.6366 (1.6607)	Prec@1 56.500 (55.378)	Prec@5 84.500 (84.137)
Epoch: [77][3060/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.6672 (1.6607)	Prec@1 54.000 (55.382)	Prec@5 87.500 (84.140)
Epoch: [77][3070/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.6135 (1.6608)	Prec@1 54.500 (55.376)	Prec@5 85.000 (84.139)
Epoch: [77][3080/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 1.8812 (1.6608)	Prec@1 48.500 (55.373)	Prec@5 80.500 (84.139)
Epoch: [77][3090/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.6606 (1.6609)	Prec@1 57.000 (55.368)	Prec@5 86.000 (84.135)
Epoch: [77][3100/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.6702 (1.6610)	Prec@1 57.000 (55.367)	Prec@5 84.500 (84.133)
Epoch: [77][3110/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.6549 (1.6611)	Prec@1 54.000 (55.367)	Prec@5 84.000 (84.130)
Epoch: [77][3120/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.7646 (1.6612)	Prec@1 52.500 (55.368)	Prec@5 81.500 (84.125)
Epoch: [77][3130/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.4430 (1.6610)	Prec@1 59.500 (55.370)	Prec@5 88.500 (84.126)
Epoch: [77][3140/9018]	Time 0.620 (0.625)	Data 0.013 (0.003)	Loss 1.8742 (1.6612)	Prec@1 52.000 (55.369)	Prec@5 78.500 (84.124)
Epoch: [77][3150/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.7461 (1.6610)	Prec@1 48.000 (55.368)	Prec@5 85.000 (84.128)
Epoch: [77][3160/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.7535 (1.6612)	Prec@1 56.000 (55.366)	Prec@5 81.000 (84.123)
Epoch: [77][3170/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.6334 (1.6613)	Prec@1 55.000 (55.364)	Prec@5 85.500 (84.120)
Epoch: [77][3180/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.4447 (1.6614)	Prec@1 60.500 (55.361)	Prec@5 87.500 (84.120)
Epoch: [77][3190/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.8458 (1.6615)	Prec@1 51.000 (55.359)	Prec@5 82.500 (84.119)
Epoch: [77][3200/9018]	Time 0.608 (0.625)	Data 0.014 (0.003)	Loss 1.8520 (1.6615)	Prec@1 52.000 (55.359)	Prec@5 79.000 (84.120)
Epoch: [77][3210/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 1.8171 (1.6616)	Prec@1 50.000 (55.357)	Prec@5 83.500 (84.121)
Epoch: [77][3220/9018]	Time 0.632 (0.625)	Data 0.012 (0.003)	Loss 1.5971 (1.6614)	Prec@1 57.500 (55.363)	Prec@5 85.000 (84.123)
Epoch: [77][3230/9018]	Time 0.657 (0.625)	Data 0.001 (0.003)	Loss 1.6795 (1.6614)	Prec@1 56.500 (55.364)	Prec@5 85.000 (84.122)
Epoch: [77][3240/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.7211 (1.6613)	Prec@1 54.500 (55.369)	Prec@5 84.500 (84.126)
Epoch: [77][3250/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.5212 (1.6611)	Prec@1 61.500 (55.375)	Prec@5 88.000 (84.129)
Epoch: [77][3260/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.6006 (1.6608)	Prec@1 56.000 (55.385)	Prec@5 85.500 (84.135)
Epoch: [77][3270/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.5801 (1.6607)	Prec@1 58.500 (55.388)	Prec@5 83.500 (84.137)
Epoch: [77][3280/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.7583 (1.6608)	Prec@1 53.000 (55.386)	Prec@5 84.000 (84.133)
Epoch: [77][3290/9018]	Time 0.634 (0.625)	Data 0.017 (0.003)	Loss 1.5715 (1.6607)	Prec@1 57.500 (55.390)	Prec@5 84.000 (84.131)
Epoch: [77][3300/9018]	Time 0.740 (0.625)	Data 0.001 (0.003)	Loss 1.3816 (1.6608)	Prec@1 58.000 (55.388)	Prec@5 89.000 (84.131)
Epoch: [77][3310/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.4706 (1.6608)	Prec@1 58.000 (55.386)	Prec@5 89.500 (84.131)
Epoch: [77][3320/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.8205 (1.6609)	Prec@1 53.000 (55.387)	Prec@5 81.500 (84.128)
Epoch: [77][3330/9018]	Time 0.588 (0.625)	Data 0.001 (0.003)	Loss 1.6010 (1.6609)	Prec@1 55.500 (55.389)	Prec@5 85.000 (84.129)
Epoch: [77][3340/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.7100 (1.6609)	Prec@1 52.500 (55.389)	Prec@5 82.500 (84.126)
Epoch: [77][3350/9018]	Time 0.742 (0.625)	Data 0.001 (0.003)	Loss 1.4504 (1.6610)	Prec@1 60.000 (55.385)	Prec@5 90.500 (84.125)
Epoch: [77][3360/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.6519 (1.6610)	Prec@1 55.500 (55.388)	Prec@5 83.000 (84.122)
Epoch: [77][3370/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.6138 (1.6610)	Prec@1 56.000 (55.387)	Prec@5 85.500 (84.124)
Epoch: [77][3380/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.7200 (1.6609)	Prec@1 52.000 (55.386)	Prec@5 84.000 (84.126)
Epoch: [77][3390/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.7485 (1.6609)	Prec@1 55.000 (55.387)	Prec@5 84.000 (84.127)
Epoch: [77][3400/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.6011 (1.6609)	Prec@1 59.500 (55.384)	Prec@5 87.000 (84.126)
Epoch: [77][3410/9018]	Time 0.608 (0.625)	Data 0.017 (0.003)	Loss 1.7756 (1.6612)	Prec@1 54.500 (55.379)	Prec@5 82.500 (84.121)
Epoch: [77][3420/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.5628 (1.6615)	Prec@1 57.500 (55.370)	Prec@5 86.000 (84.119)
Epoch: [77][3430/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.8389 (1.6616)	Prec@1 48.500 (55.368)	Prec@5 80.000 (84.115)
Epoch: [77][3440/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.5364 (1.6615)	Prec@1 54.000 (55.370)	Prec@5 87.000 (84.118)
Epoch: [77][3450/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.4486 (1.6612)	Prec@1 56.500 (55.375)	Prec@5 88.500 (84.124)
Epoch: [77][3460/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.6470 (1.6611)	Prec@1 57.500 (55.374)	Prec@5 84.500 (84.123)
Epoch: [77][3470/9018]	Time 0.637 (0.625)	Data 0.011 (0.003)	Loss 1.7795 (1.6613)	Prec@1 51.000 (55.373)	Prec@5 84.000 (84.121)
Epoch: [77][3480/9018]	Time 0.613 (0.625)	Data 0.013 (0.003)	Loss 1.6392 (1.6614)	Prec@1 56.000 (55.369)	Prec@5 83.500 (84.117)
Epoch: [77][3490/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.7456 (1.6611)	Prec@1 52.500 (55.373)	Prec@5 87.000 (84.123)
Epoch: [77][3500/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.5607 (1.6612)	Prec@1 58.000 (55.371)	Prec@5 87.500 (84.122)
Epoch: [77][3510/9018]	Time 0.644 (0.625)	Data 0.001 (0.003)	Loss 1.8293 (1.6613)	Prec@1 55.000 (55.372)	Prec@5 80.000 (84.118)
Epoch: [77][3520/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.5774 (1.6612)	Prec@1 53.000 (55.374)	Prec@5 85.500 (84.121)
Epoch: [77][3530/9018]	Time 0.588 (0.625)	Data 0.001 (0.003)	Loss 1.8789 (1.6613)	Prec@1 53.000 (55.374)	Prec@5 80.500 (84.119)
Epoch: [77][3540/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.7046 (1.6613)	Prec@1 58.000 (55.375)	Prec@5 81.500 (84.120)
Epoch: [77][3550/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.7250 (1.6613)	Prec@1 51.000 (55.375)	Prec@5 85.000 (84.121)
Epoch: [77][3560/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.6505 (1.6612)	Prec@1 55.500 (55.379)	Prec@5 81.000 (84.122)
Epoch: [77][3570/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.7432 (1.6611)	Prec@1 50.000 (55.380)	Prec@5 84.500 (84.125)
Epoch: [77][3580/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.7911 (1.6611)	Prec@1 54.000 (55.383)	Prec@5 82.500 (84.124)
Epoch: [77][3590/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.6745 (1.6611)	Prec@1 55.000 (55.386)	Prec@5 83.500 (84.124)
Epoch: [77][3600/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.6276 (1.6611)	Prec@1 54.500 (55.389)	Prec@5 84.500 (84.125)
Epoch: [77][3610/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.4670 (1.6610)	Prec@1 56.000 (55.394)	Prec@5 88.500 (84.125)
Epoch: [77][3620/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.6214 (1.6610)	Prec@1 59.000 (55.398)	Prec@5 85.000 (84.124)
Epoch: [77][3630/9018]	Time 0.743 (0.625)	Data 0.001 (0.003)	Loss 1.6446 (1.6611)	Prec@1 57.500 (55.391)	Prec@5 81.000 (84.120)
Epoch: [77][3640/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.4830 (1.6608)	Prec@1 61.500 (55.399)	Prec@5 86.500 (84.124)
Epoch: [77][3650/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.6790 (1.6608)	Prec@1 56.000 (55.401)	Prec@5 82.000 (84.124)
Epoch: [77][3660/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.7634 (1.6608)	Prec@1 59.000 (55.405)	Prec@5 80.500 (84.123)
Epoch: [77][3670/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.7772 (1.6609)	Prec@1 53.000 (55.402)	Prec@5 82.500 (84.120)
Epoch: [77][3680/9018]	Time 0.729 (0.625)	Data 0.001 (0.003)	Loss 1.5023 (1.6608)	Prec@1 59.500 (55.407)	Prec@5 86.000 (84.124)
Epoch: [77][3690/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.4520 (1.6607)	Prec@1 63.000 (55.407)	Prec@5 87.000 (84.124)
Epoch: [77][3700/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.6503 (1.6605)	Prec@1 59.000 (55.412)	Prec@5 85.500 (84.127)
Epoch: [77][3710/9018]	Time 0.634 (0.625)	Data 0.001 (0.003)	Loss 1.6556 (1.6604)	Prec@1 57.500 (55.415)	Prec@5 84.000 (84.130)
Epoch: [77][3720/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.7042 (1.6604)	Prec@1 56.500 (55.416)	Prec@5 84.000 (84.130)
Epoch: [77][3730/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.8098 (1.6603)	Prec@1 51.000 (55.418)	Prec@5 83.500 (84.132)
Epoch: [77][3740/9018]	Time 0.623 (0.625)	Data 0.014 (0.003)	Loss 1.8957 (1.6606)	Prec@1 51.500 (55.414)	Prec@5 80.000 (84.128)
Epoch: [77][3750/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.6167 (1.6605)	Prec@1 53.000 (55.417)	Prec@5 86.500 (84.130)
Epoch: [77][3760/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.7758 (1.6606)	Prec@1 54.500 (55.414)	Prec@5 81.500 (84.127)
Epoch: [77][3770/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.9115 (1.6605)	Prec@1 50.000 (55.416)	Prec@5 83.500 (84.130)
Epoch: [77][3780/9018]	Time 0.638 (0.625)	Data 0.010 (0.003)	Loss 1.7872 (1.6605)	Prec@1 53.500 (55.417)	Prec@5 81.500 (84.131)
Epoch: [77][3790/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.6129 (1.6605)	Prec@1 54.500 (55.417)	Prec@5 84.000 (84.131)
Epoch: [77][3800/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.4740 (1.6605)	Prec@1 58.500 (55.417)	Prec@5 87.000 (84.132)
Epoch: [77][3810/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.4824 (1.6605)	Prec@1 58.500 (55.419)	Prec@5 88.000 (84.131)
Epoch: [77][3820/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.8090 (1.6604)	Prec@1 53.500 (55.422)	Prec@5 80.500 (84.132)
Epoch: [77][3830/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.6270 (1.6604)	Prec@1 55.500 (55.421)	Prec@5 86.000 (84.133)
Epoch: [77][3840/9018]	Time 0.626 (0.625)	Data 0.014 (0.003)	Loss 1.5852 (1.6604)	Prec@1 56.500 (55.422)	Prec@5 84.000 (84.133)
Epoch: [77][3850/9018]	Time 0.639 (0.625)	Data 0.017 (0.003)	Loss 1.7469 (1.6605)	Prec@1 56.500 (55.422)	Prec@5 81.000 (84.129)
Epoch: [77][3860/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.6301 (1.6605)	Prec@1 54.500 (55.426)	Prec@5 82.500 (84.130)
Epoch: [77][3870/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.5775 (1.6608)	Prec@1 54.000 (55.420)	Prec@5 86.000 (84.124)
Epoch: [77][3880/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.9429 (1.6608)	Prec@1 48.000 (55.423)	Prec@5 83.000 (84.125)
Epoch: [77][3890/9018]	Time 0.604 (0.625)	Data 0.017 (0.003)	Loss 1.8139 (1.6608)	Prec@1 53.000 (55.423)	Prec@5 79.500 (84.126)
Epoch: [77][3900/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.8461 (1.6608)	Prec@1 54.000 (55.424)	Prec@5 79.500 (84.126)
Epoch: [77][3910/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.6425 (1.6608)	Prec@1 59.000 (55.425)	Prec@5 83.000 (84.124)
Epoch: [77][3920/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.5843 (1.6608)	Prec@1 57.000 (55.424)	Prec@5 86.500 (84.126)
Epoch: [77][3930/9018]	Time 0.631 (0.625)	Data 0.016 (0.003)	Loss 1.7391 (1.6609)	Prec@1 53.000 (55.421)	Prec@5 84.000 (84.125)
Epoch: [77][3940/9018]	Time 0.617 (0.625)	Data 0.015 (0.003)	Loss 1.5316 (1.6608)	Prec@1 56.000 (55.420)	Prec@5 85.500 (84.128)
Epoch: [77][3950/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.5785 (1.6607)	Prec@1 56.000 (55.421)	Prec@5 86.000 (84.129)
Epoch: [77][3960/9018]	Time 0.772 (0.625)	Data 0.001 (0.003)	Loss 1.6679 (1.6607)	Prec@1 55.000 (55.421)	Prec@5 83.000 (84.128)
Epoch: [77][3970/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.6653 (1.6607)	Prec@1 56.000 (55.422)	Prec@5 84.000 (84.129)
Epoch: [77][3980/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.6376 (1.6607)	Prec@1 56.000 (55.425)	Prec@5 85.000 (84.128)
Epoch: [77][3990/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.5604 (1.6606)	Prec@1 56.000 (55.427)	Prec@5 86.500 (84.129)
Epoch: [77][4000/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.5999 (1.6608)	Prec@1 57.500 (55.424)	Prec@5 83.000 (84.127)
Epoch: [77][4010/9018]	Time 0.758 (0.625)	Data 0.001 (0.003)	Loss 1.8510 (1.6608)	Prec@1 49.000 (55.421)	Prec@5 81.500 (84.127)
Epoch: [77][4020/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.7137 (1.6610)	Prec@1 54.500 (55.418)	Prec@5 86.000 (84.123)
Epoch: [77][4030/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.6676 (1.6608)	Prec@1 56.000 (55.424)	Prec@5 85.500 (84.126)
Epoch: [77][4040/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.4434 (1.6605)	Prec@1 61.000 (55.426)	Prec@5 85.500 (84.131)
Epoch: [77][4050/9018]	Time 0.635 (0.625)	Data 0.013 (0.003)	Loss 1.8506 (1.6605)	Prec@1 47.500 (55.426)	Prec@5 82.000 (84.133)
Epoch: [77][4060/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 2.0418 (1.6606)	Prec@1 48.000 (55.421)	Prec@5 75.000 (84.130)
Epoch: [77][4070/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.6086 (1.6606)	Prec@1 57.000 (55.424)	Prec@5 86.000 (84.131)
Epoch: [77][4080/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.6954 (1.6608)	Prec@1 54.000 (55.419)	Prec@5 86.500 (84.128)
Epoch: [77][4090/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.5351 (1.6607)	Prec@1 59.000 (55.418)	Prec@5 86.000 (84.129)
Epoch: [77][4100/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.5815 (1.6607)	Prec@1 53.000 (55.416)	Prec@5 87.000 (84.131)
Epoch: [77][4110/9018]	Time 0.648 (0.625)	Data 0.001 (0.003)	Loss 1.7747 (1.6610)	Prec@1 50.500 (55.410)	Prec@5 79.500 (84.126)
Epoch: [77][4120/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.8478 (1.6612)	Prec@1 53.000 (55.407)	Prec@5 82.000 (84.123)
Epoch: [77][4130/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.4910 (1.6612)	Prec@1 58.000 (55.409)	Prec@5 87.500 (84.124)
Epoch: [77][4140/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.7078 (1.6611)	Prec@1 53.000 (55.409)	Prec@5 84.000 (84.125)
Epoch: [77][4150/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.5835 (1.6610)	Prec@1 60.000 (55.411)	Prec@5 84.500 (84.126)
Epoch: [77][4160/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.6458 (1.6610)	Prec@1 56.000 (55.409)	Prec@5 87.500 (84.127)
Epoch: [77][4170/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.6389 (1.6611)	Prec@1 56.500 (55.407)	Prec@5 80.500 (84.125)
Epoch: [77][4180/9018]	Time 0.615 (0.625)	Data 0.022 (0.003)	Loss 1.7747 (1.6611)	Prec@1 55.000 (55.408)	Prec@5 80.500 (84.122)
Epoch: [77][4190/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.7646 (1.6611)	Prec@1 50.500 (55.409)	Prec@5 84.500 (84.124)
Epoch: [77][4200/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.7140 (1.6612)	Prec@1 55.500 (55.407)	Prec@5 82.000 (84.122)
Epoch: [77][4210/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.5329 (1.6612)	Prec@1 58.500 (55.406)	Prec@5 84.000 (84.124)
Epoch: [77][4220/9018]	Time 0.620 (0.625)	Data 0.002 (0.003)	Loss 1.9607 (1.6615)	Prec@1 46.500 (55.400)	Prec@5 80.000 (84.118)
Epoch: [77][4230/9018]	Time 0.651 (0.625)	Data 0.017 (0.003)	Loss 1.5538 (1.6617)	Prec@1 53.000 (55.396)	Prec@5 86.000 (84.115)
Epoch: [77][4240/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.6148 (1.6615)	Prec@1 53.500 (55.399)	Prec@5 86.000 (84.117)
Epoch: [77][4250/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.6011 (1.6615)	Prec@1 54.000 (55.398)	Prec@5 83.500 (84.118)
Epoch: [77][4260/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.5502 (1.6614)	Prec@1 56.500 (55.399)	Prec@5 87.000 (84.121)
Epoch: [77][4270/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.6777 (1.6615)	Prec@1 57.500 (55.397)	Prec@5 83.000 (84.120)
Epoch: [77][4280/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.6902 (1.6615)	Prec@1 56.500 (55.398)	Prec@5 82.500 (84.119)
Epoch: [77][4290/9018]	Time 0.758 (0.625)	Data 0.001 (0.003)	Loss 1.8309 (1.6616)	Prec@1 48.500 (55.396)	Prec@5 81.000 (84.117)
Epoch: [77][4300/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.6066 (1.6616)	Prec@1 57.000 (55.397)	Prec@5 87.000 (84.117)
Epoch: [77][4310/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.4524 (1.6616)	Prec@1 60.000 (55.396)	Prec@5 86.500 (84.115)
Epoch: [77][4320/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.7459 (1.6616)	Prec@1 54.000 (55.394)	Prec@5 81.500 (84.115)
Epoch: [77][4330/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.9184 (1.6618)	Prec@1 48.500 (55.392)	Prec@5 81.000 (84.114)
Epoch: [77][4340/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8484 (1.6617)	Prec@1 55.000 (55.396)	Prec@5 81.500 (84.114)
Epoch: [77][4350/9018]	Time 0.620 (0.625)	Data 0.016 (0.003)	Loss 1.6669 (1.6618)	Prec@1 55.000 (55.396)	Prec@5 83.000 (84.110)
Epoch: [77][4360/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.6176 (1.6618)	Prec@1 58.000 (55.399)	Prec@5 83.500 (84.111)
Epoch: [77][4370/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.6099 (1.6617)	Prec@1 57.500 (55.402)	Prec@5 84.500 (84.110)
Epoch: [77][4380/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.8578 (1.6619)	Prec@1 53.500 (55.399)	Prec@5 82.000 (84.107)
Epoch: [77][4390/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.7857 (1.6620)	Prec@1 52.000 (55.396)	Prec@5 82.500 (84.107)
Epoch: [77][4400/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.6920 (1.6619)	Prec@1 56.500 (55.398)	Prec@5 81.000 (84.107)
Epoch: [77][4410/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.6291 (1.6621)	Prec@1 53.000 (55.393)	Prec@5 84.000 (84.106)
Epoch: [77][4420/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.6375 (1.6621)	Prec@1 53.500 (55.395)	Prec@5 86.000 (84.105)
Epoch: [77][4430/9018]	Time 0.595 (0.625)	Data 0.015 (0.003)	Loss 1.5911 (1.6622)	Prec@1 58.000 (55.395)	Prec@5 84.000 (84.104)
Epoch: [77][4440/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.6066 (1.6622)	Prec@1 55.000 (55.390)	Prec@5 87.500 (84.105)
Epoch: [77][4450/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.6587 (1.6624)	Prec@1 58.000 (55.387)	Prec@5 85.500 (84.102)
Epoch: [77][4460/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.8309 (1.6623)	Prec@1 55.000 (55.389)	Prec@5 84.500 (84.104)
Epoch: [77][4470/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.7287 (1.6623)	Prec@1 52.500 (55.391)	Prec@5 83.000 (84.103)
Epoch: [77][4480/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.5501 (1.6623)	Prec@1 58.500 (55.391)	Prec@5 86.500 (84.103)
Epoch: [77][4490/9018]	Time 0.633 (0.625)	Data 0.017 (0.003)	Loss 1.5299 (1.6623)	Prec@1 59.000 (55.390)	Prec@5 84.000 (84.105)
Epoch: [77][4500/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.5899 (1.6623)	Prec@1 56.000 (55.390)	Prec@5 86.000 (84.108)
Epoch: [77][4510/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.4717 (1.6623)	Prec@1 58.000 (55.388)	Prec@5 91.000 (84.108)
Epoch: [77][4520/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.6795 (1.6623)	Prec@1 53.500 (55.390)	Prec@5 85.500 (84.105)
Epoch: [77][4530/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.7791 (1.6623)	Prec@1 55.000 (55.390)	Prec@5 80.500 (84.106)
Epoch: [77][4540/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.7661 (1.6622)	Prec@1 50.500 (55.392)	Prec@5 81.500 (84.106)
Epoch: [77][4550/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.7110 (1.6622)	Prec@1 55.500 (55.392)	Prec@5 81.000 (84.106)
Epoch: [77][4560/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.7269 (1.6623)	Prec@1 54.000 (55.390)	Prec@5 81.000 (84.103)
Epoch: [77][4570/9018]	Time 0.777 (0.625)	Data 0.001 (0.003)	Loss 1.6834 (1.6623)	Prec@1 54.500 (55.389)	Prec@5 81.500 (84.103)
Epoch: [77][4580/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.5253 (1.6623)	Prec@1 60.000 (55.389)	Prec@5 88.500 (84.107)
Epoch: [77][4590/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.6513 (1.6622)	Prec@1 51.500 (55.391)	Prec@5 87.500 (84.111)
Epoch: [77][4600/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.6330 (1.6621)	Prec@1 54.500 (55.392)	Prec@5 84.500 (84.113)
Epoch: [77][4610/9018]	Time 0.612 (0.625)	Data 0.004 (0.003)	Loss 1.7426 (1.6621)	Prec@1 49.500 (55.390)	Prec@5 86.000 (84.114)
Epoch: [77][4620/9018]	Time 0.722 (0.625)	Data 0.001 (0.003)	Loss 1.4189 (1.6620)	Prec@1 62.500 (55.394)	Prec@5 88.000 (84.114)
Epoch: [77][4630/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.4931 (1.6620)	Prec@1 56.500 (55.391)	Prec@5 89.000 (84.117)
Epoch: [77][4640/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.6876 (1.6620)	Prec@1 56.500 (55.390)	Prec@5 82.000 (84.115)
Epoch: [77][4650/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.8411 (1.6620)	Prec@1 54.000 (55.392)	Prec@5 83.000 (84.115)
Epoch: [77][4660/9018]	Time 0.643 (0.625)	Data 0.001 (0.003)	Loss 1.6727 (1.6620)	Prec@1 55.000 (55.392)	Prec@5 83.500 (84.114)
Epoch: [77][4670/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.7616 (1.6620)	Prec@1 55.500 (55.393)	Prec@5 82.000 (84.113)
Epoch: [77][4680/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.6181 (1.6621)	Prec@1 60.000 (55.392)	Prec@5 87.000 (84.111)
Epoch: [77][4690/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.7072 (1.6622)	Prec@1 57.000 (55.391)	Prec@5 83.500 (84.109)
Epoch: [77][4700/9018]	Time 0.643 (0.625)	Data 0.001 (0.003)	Loss 1.6608 (1.6622)	Prec@1 54.500 (55.390)	Prec@5 86.000 (84.110)
Epoch: [77][4710/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.7463 (1.6623)	Prec@1 58.500 (55.391)	Prec@5 81.500 (84.110)
Epoch: [77][4720/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.7742 (1.6623)	Prec@1 52.500 (55.392)	Prec@5 80.500 (84.110)
Epoch: [77][4730/9018]	Time 0.622 (0.625)	Data 0.015 (0.003)	Loss 1.7345 (1.6623)	Prec@1 54.000 (55.393)	Prec@5 82.500 (84.110)
Epoch: [77][4740/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.5625 (1.6623)	Prec@1 58.500 (55.394)	Prec@5 85.000 (84.109)
Epoch: [77][4750/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.5942 (1.6624)	Prec@1 56.500 (55.395)	Prec@5 85.000 (84.108)
Epoch: [77][4760/9018]	Time 0.616 (0.625)	Data 0.003 (0.003)	Loss 1.6844 (1.6624)	Prec@1 57.000 (55.392)	Prec@5 82.500 (84.107)
Epoch: [77][4770/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.6740 (1.6625)	Prec@1 57.000 (55.389)	Prec@5 84.500 (84.105)
Epoch: [77][4780/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.6488 (1.6625)	Prec@1 55.500 (55.386)	Prec@5 83.000 (84.107)
Epoch: [77][4790/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.8513 (1.6626)	Prec@1 48.500 (55.380)	Prec@5 79.000 (84.105)
Epoch: [77][4800/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.6010 (1.6627)	Prec@1 57.000 (55.378)	Prec@5 84.500 (84.103)
Epoch: [77][4810/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.6878 (1.6627)	Prec@1 53.000 (55.374)	Prec@5 80.000 (84.103)
Epoch: [77][4820/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.5548 (1.6628)	Prec@1 60.500 (55.376)	Prec@5 86.000 (84.101)
Epoch: [77][4830/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.6627 (1.6628)	Prec@1 57.000 (55.375)	Prec@5 80.000 (84.102)
Epoch: [77][4840/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.6398 (1.6627)	Prec@1 55.500 (55.377)	Prec@5 86.000 (84.103)
Epoch: [77][4850/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.5998 (1.6626)	Prec@1 57.500 (55.376)	Prec@5 85.500 (84.105)
Epoch: [77][4860/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.6996 (1.6627)	Prec@1 58.500 (55.373)	Prec@5 82.000 (84.101)
Epoch: [77][4870/9018]	Time 0.589 (0.625)	Data 0.001 (0.003)	Loss 1.6871 (1.6627)	Prec@1 56.000 (55.373)	Prec@5 84.000 (84.103)
Epoch: [77][4880/9018]	Time 0.649 (0.625)	Data 0.001 (0.003)	Loss 1.5715 (1.6627)	Prec@1 61.000 (55.373)	Prec@5 85.500 (84.104)
Epoch: [77][4890/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.7266 (1.6629)	Prec@1 53.500 (55.367)	Prec@5 82.000 (84.100)
Epoch: [77][4900/9018]	Time 0.761 (0.625)	Data 0.001 (0.003)	Loss 1.7534 (1.6629)	Prec@1 55.000 (55.367)	Prec@5 84.500 (84.099)
Epoch: [77][4910/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.7508 (1.6629)	Prec@1 52.500 (55.367)	Prec@5 85.000 (84.099)
Epoch: [77][4920/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.6088 (1.6629)	Prec@1 55.500 (55.370)	Prec@5 88.000 (84.100)
Epoch: [77][4930/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.5695 (1.6629)	Prec@1 60.000 (55.369)	Prec@5 86.500 (84.101)
Epoch: [77][4940/9018]	Time 0.629 (0.625)	Data 0.015 (0.003)	Loss 1.7275 (1.6630)	Prec@1 56.000 (55.365)	Prec@5 82.500 (84.098)
Epoch: [77][4950/9018]	Time 0.713 (0.625)	Data 0.001 (0.003)	Loss 1.6087 (1.6630)	Prec@1 55.000 (55.366)	Prec@5 88.500 (84.099)
Epoch: [77][4960/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.5958 (1.6630)	Prec@1 58.500 (55.366)	Prec@5 85.000 (84.098)
Epoch: [77][4970/9018]	Time 0.590 (0.625)	Data 0.001 (0.003)	Loss 1.7792 (1.6632)	Prec@1 54.500 (55.365)	Prec@5 78.000 (84.094)
Epoch: [77][4980/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.6609 (1.6630)	Prec@1 55.000 (55.369)	Prec@5 84.500 (84.097)
Epoch: [77][4990/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.7075 (1.6631)	Prec@1 53.500 (55.365)	Prec@5 82.500 (84.096)
Epoch: [77][5000/9018]	Time 0.651 (0.625)	Data 0.001 (0.003)	Loss 1.5614 (1.6632)	Prec@1 52.500 (55.365)	Prec@5 86.500 (84.090)
Epoch: [77][5010/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.6044 (1.6631)	Prec@1 54.500 (55.369)	Prec@5 85.500 (84.090)
Epoch: [77][5020/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.6119 (1.6632)	Prec@1 62.500 (55.370)	Prec@5 80.000 (84.089)
Epoch: [77][5030/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.6923 (1.6630)	Prec@1 50.500 (55.371)	Prec@5 85.000 (84.092)
Epoch: [77][5040/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.6897 (1.6630)	Prec@1 54.500 (55.371)	Prec@5 84.500 (84.094)
Epoch: [77][5050/9018]	Time 0.648 (0.625)	Data 0.001 (0.003)	Loss 1.7244 (1.6630)	Prec@1 54.000 (55.373)	Prec@5 82.000 (84.096)
Epoch: [77][5060/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.7408 (1.6631)	Prec@1 48.500 (55.371)	Prec@5 81.500 (84.096)
Epoch: [77][5070/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.6942 (1.6629)	Prec@1 55.500 (55.376)	Prec@5 83.500 (84.098)
Epoch: [77][5080/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 1.7120 (1.6629)	Prec@1 54.000 (55.375)	Prec@5 83.000 (84.098)
Epoch: [77][5090/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.6216 (1.6630)	Prec@1 55.000 (55.374)	Prec@5 83.500 (84.097)
Epoch: [77][5100/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.5912 (1.6630)	Prec@1 53.000 (55.377)	Prec@5 86.000 (84.096)
Epoch: [77][5110/9018]	Time 0.598 (0.625)	Data 0.001 (0.003)	Loss 1.5656 (1.6629)	Prec@1 54.000 (55.377)	Prec@5 88.000 (84.099)
Epoch: [77][5120/9018]	Time 0.648 (0.625)	Data 0.001 (0.003)	Loss 1.2720 (1.6629)	Prec@1 64.500 (55.374)	Prec@5 91.500 (84.097)
Epoch: [77][5130/9018]	Time 0.620 (0.625)	Data 0.003 (0.003)	Loss 1.6418 (1.6629)	Prec@1 55.000 (55.373)	Prec@5 86.500 (84.096)
Epoch: [77][5140/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.5571 (1.6629)	Prec@1 58.500 (55.373)	Prec@5 88.000 (84.098)
Epoch: [77][5150/9018]	Time 0.634 (0.625)	Data 0.013 (0.003)	Loss 1.6450 (1.6627)	Prec@1 55.000 (55.377)	Prec@5 86.000 (84.101)
Epoch: [77][5160/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.9302 (1.6628)	Prec@1 45.500 (55.374)	Prec@5 78.000 (84.099)
Epoch: [77][5170/9018]	Time 0.614 (0.625)	Data 0.016 (0.003)	Loss 1.6355 (1.6626)	Prec@1 60.500 (55.380)	Prec@5 83.500 (84.103)
Epoch: [77][5180/9018]	Time 0.608 (0.625)	Data 0.016 (0.003)	Loss 1.7070 (1.6625)	Prec@1 56.000 (55.381)	Prec@5 84.500 (84.103)
Epoch: [77][5190/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.7050 (1.6625)	Prec@1 54.500 (55.384)	Prec@5 84.500 (84.103)
Epoch: [77][5200/9018]	Time 0.628 (0.625)	Data 0.007 (0.003)	Loss 1.7367 (1.6626)	Prec@1 51.500 (55.379)	Prec@5 82.500 (84.102)
Epoch: [77][5210/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.5324 (1.6626)	Prec@1 56.500 (55.380)	Prec@5 85.500 (84.102)
Epoch: [77][5220/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.7363 (1.6626)	Prec@1 58.500 (55.383)	Prec@5 83.500 (84.102)
Epoch: [77][5230/9018]	Time 0.767 (0.625)	Data 0.001 (0.003)	Loss 1.7836 (1.6626)	Prec@1 54.500 (55.385)	Prec@5 83.500 (84.102)
Epoch: [77][5240/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.8522 (1.6626)	Prec@1 51.000 (55.382)	Prec@5 78.500 (84.101)
Epoch: [77][5250/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.5333 (1.6627)	Prec@1 57.000 (55.380)	Prec@5 87.000 (84.102)
Epoch: [77][5260/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.8145 (1.6626)	Prec@1 50.500 (55.380)	Prec@5 81.000 (84.102)
Epoch: [77][5270/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.6619 (1.6627)	Prec@1 56.500 (55.378)	Prec@5 87.000 (84.103)
Epoch: [77][5280/9018]	Time 0.807 (0.625)	Data 0.001 (0.003)	Loss 1.6841 (1.6628)	Prec@1 53.000 (55.372)	Prec@5 85.000 (84.101)
Epoch: [77][5290/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.5793 (1.6628)	Prec@1 57.000 (55.372)	Prec@5 84.000 (84.101)
Epoch: [77][5300/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.8220 (1.6627)	Prec@1 50.500 (55.373)	Prec@5 82.000 (84.104)
Epoch: [77][5310/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.6279 (1.6626)	Prec@1 53.000 (55.375)	Prec@5 88.000 (84.107)
Epoch: [77][5320/9018]	Time 0.610 (0.625)	Data 0.015 (0.003)	Loss 1.5933 (1.6626)	Prec@1 59.500 (55.376)	Prec@5 82.500 (84.107)
Epoch: [77][5330/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.7848 (1.6627)	Prec@1 52.500 (55.375)	Prec@5 80.500 (84.104)
Epoch: [77][5340/9018]	Time 0.634 (0.625)	Data 0.003 (0.003)	Loss 1.6518 (1.6627)	Prec@1 59.500 (55.374)	Prec@5 86.000 (84.105)
Epoch: [77][5350/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.6261 (1.6627)	Prec@1 53.500 (55.372)	Prec@5 84.000 (84.104)
Epoch: [77][5360/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.7116 (1.6627)	Prec@1 56.000 (55.370)	Prec@5 82.500 (84.104)
Epoch: [77][5370/9018]	Time 0.625 (0.625)	Data 0.017 (0.003)	Loss 1.5809 (1.6626)	Prec@1 55.000 (55.372)	Prec@5 88.000 (84.105)
Epoch: [77][5380/9018]	Time 0.647 (0.625)	Data 0.001 (0.003)	Loss 1.7033 (1.6627)	Prec@1 56.000 (55.371)	Prec@5 83.000 (84.105)
Epoch: [77][5390/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.5173 (1.6627)	Prec@1 58.500 (55.368)	Prec@5 90.500 (84.105)
Epoch: [77][5400/9018]	Time 0.623 (0.625)	Data 0.002 (0.003)	Loss 1.6017 (1.6627)	Prec@1 58.000 (55.369)	Prec@5 84.000 (84.106)
Epoch: [77][5410/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.7471 (1.6627)	Prec@1 51.000 (55.367)	Prec@5 82.000 (84.107)
Epoch: [77][5420/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 1.5254 (1.6627)	Prec@1 55.500 (55.365)	Prec@5 85.500 (84.107)
Epoch: [77][5430/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.5487 (1.6628)	Prec@1 55.500 (55.363)	Prec@5 85.000 (84.106)
Epoch: [77][5440/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8031 (1.6630)	Prec@1 54.000 (55.358)	Prec@5 80.500 (84.104)
Epoch: [77][5450/9018]	Time 0.610 (0.625)	Data 0.014 (0.003)	Loss 1.7233 (1.6630)	Prec@1 55.500 (55.358)	Prec@5 83.000 (84.104)
Epoch: [77][5460/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.4801 (1.6629)	Prec@1 58.500 (55.360)	Prec@5 87.500 (84.106)
Epoch: [77][5470/9018]	Time 0.604 (0.625)	Data 0.001 (0.003)	Loss 1.5518 (1.6629)	Prec@1 55.500 (55.361)	Prec@5 84.500 (84.105)
Epoch: [77][5480/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.5236 (1.6630)	Prec@1 62.000 (55.362)	Prec@5 85.000 (84.102)
Epoch: [77][5490/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.7274 (1.6630)	Prec@1 53.500 (55.364)	Prec@5 81.500 (84.101)
Epoch: [77][5500/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.6822 (1.6629)	Prec@1 52.500 (55.366)	Prec@5 86.000 (84.103)
Epoch: [77][5510/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.7127 (1.6629)	Prec@1 56.500 (55.366)	Prec@5 83.000 (84.104)
Epoch: [77][5520/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.6209 (1.6628)	Prec@1 60.000 (55.368)	Prec@5 85.000 (84.106)
Epoch: [77][5530/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.8347 (1.6628)	Prec@1 51.000 (55.370)	Prec@5 80.500 (84.105)
Epoch: [77][5540/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.5047 (1.6627)	Prec@1 56.000 (55.370)	Prec@5 86.500 (84.107)
Epoch: [77][5550/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8375 (1.6628)	Prec@1 53.500 (55.371)	Prec@5 79.500 (84.104)
Epoch: [77][5560/9018]	Time 0.819 (0.625)	Data 0.001 (0.003)	Loss 1.7785 (1.6628)	Prec@1 54.000 (55.373)	Prec@5 81.000 (84.105)
Epoch: [77][5570/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.8026 (1.6628)	Prec@1 50.500 (55.374)	Prec@5 84.000 (84.105)
Epoch: [77][5580/9018]	Time 0.613 (0.625)	Data 0.004 (0.003)	Loss 1.8787 (1.6628)	Prec@1 54.000 (55.374)	Prec@5 78.500 (84.104)
Epoch: [77][5590/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.8307 (1.6629)	Prec@1 50.500 (55.370)	Prec@5 85.000 (84.101)
Epoch: [77][5600/9018]	Time 0.627 (0.625)	Data 0.017 (0.003)	Loss 1.6258 (1.6629)	Prec@1 61.000 (55.371)	Prec@5 85.000 (84.101)
Epoch: [77][5610/9018]	Time 0.797 (0.625)	Data 0.017 (0.003)	Loss 1.7568 (1.6630)	Prec@1 56.500 (55.370)	Prec@5 83.500 (84.101)
Epoch: [77][5620/9018]	Time 0.589 (0.625)	Data 0.001 (0.003)	Loss 1.6609 (1.6630)	Prec@1 56.000 (55.372)	Prec@5 85.000 (84.101)
Epoch: [77][5630/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.5425 (1.6629)	Prec@1 55.500 (55.372)	Prec@5 86.500 (84.102)
Epoch: [77][5640/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.7366 (1.6629)	Prec@1 58.500 (55.372)	Prec@5 81.000 (84.102)
Epoch: [77][5650/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.5586 (1.6629)	Prec@1 61.000 (55.375)	Prec@5 86.500 (84.102)
Epoch: [77][5660/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.6358 (1.6630)	Prec@1 55.000 (55.368)	Prec@5 85.000 (84.101)
Epoch: [77][5670/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.5018 (1.6630)	Prec@1 57.000 (55.366)	Prec@5 84.500 (84.100)
Epoch: [77][5680/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.5981 (1.6630)	Prec@1 59.000 (55.366)	Prec@5 82.000 (84.100)
Epoch: [77][5690/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.6723 (1.6630)	Prec@1 54.500 (55.364)	Prec@5 82.000 (84.099)
Epoch: [77][5700/9018]	Time 0.631 (0.625)	Data 0.001 (0.003)	Loss 1.6505 (1.6630)	Prec@1 58.000 (55.365)	Prec@5 83.500 (84.097)
Epoch: [77][5710/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.5887 (1.6631)	Prec@1 55.500 (55.363)	Prec@5 87.000 (84.097)
Epoch: [77][5720/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.6341 (1.6631)	Prec@1 57.000 (55.363)	Prec@5 83.500 (84.097)
Epoch: [77][5730/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 2.0623 (1.6632)	Prec@1 48.000 (55.360)	Prec@5 81.500 (84.095)
Epoch: [77][5740/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.4980 (1.6632)	Prec@1 58.500 (55.361)	Prec@5 84.500 (84.095)
Epoch: [77][5750/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.5561 (1.6631)	Prec@1 59.000 (55.365)	Prec@5 83.500 (84.095)
Epoch: [77][5760/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 1.4954 (1.6632)	Prec@1 54.500 (55.363)	Prec@5 87.500 (84.095)
Epoch: [77][5770/9018]	Time 0.646 (0.625)	Data 0.001 (0.003)	Loss 1.8749 (1.6631)	Prec@1 50.000 (55.363)	Prec@5 82.000 (84.094)
Epoch: [77][5780/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.8014 (1.6631)	Prec@1 51.500 (55.363)	Prec@5 79.500 (84.093)
Epoch: [77][5790/9018]	Time 0.632 (0.625)	Data 0.007 (0.003)	Loss 1.6882 (1.6632)	Prec@1 49.500 (55.361)	Prec@5 85.500 (84.091)
Epoch: [77][5800/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.7184 (1.6632)	Prec@1 51.500 (55.360)	Prec@5 82.500 (84.093)
Epoch: [77][5810/9018]	Time 0.599 (0.625)	Data 0.008 (0.003)	Loss 1.5820 (1.6632)	Prec@1 58.500 (55.360)	Prec@5 88.000 (84.092)
Epoch: [77][5820/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.7553 (1.6632)	Prec@1 57.500 (55.359)	Prec@5 81.000 (84.090)
Epoch: [77][5830/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.7480 (1.6633)	Prec@1 55.000 (55.358)	Prec@5 82.000 (84.089)
Epoch: [77][5840/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.9996 (1.6634)	Prec@1 49.500 (55.354)	Prec@5 78.500 (84.087)
Epoch: [77][5850/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.5220 (1.6633)	Prec@1 58.500 (55.356)	Prec@5 84.000 (84.089)
Epoch: [77][5860/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 1.5799 (1.6632)	Prec@1 53.500 (55.358)	Prec@5 86.000 (84.089)
Epoch: [77][5870/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 1.5805 (1.6633)	Prec@1 54.500 (55.359)	Prec@5 87.000 (84.088)
Epoch: [77][5880/9018]	Time 0.591 (0.625)	Data 0.001 (0.003)	Loss 1.5674 (1.6633)	Prec@1 56.500 (55.357)	Prec@5 86.500 (84.090)
Epoch: [77][5890/9018]	Time 0.750 (0.625)	Data 0.001 (0.003)	Loss 1.5342 (1.6632)	Prec@1 56.000 (55.360)	Prec@5 87.000 (84.089)
Epoch: [77][5900/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.7414 (1.6633)	Prec@1 53.500 (55.354)	Prec@5 82.500 (84.088)
Epoch: [77][5910/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.4268 (1.6633)	Prec@1 58.500 (55.353)	Prec@5 88.500 (84.089)
Epoch: [77][5920/9018]	Time 0.605 (0.625)	Data 0.001 (0.003)	Loss 1.4949 (1.6633)	Prec@1 57.500 (55.353)	Prec@5 87.000 (84.090)
Epoch: [77][5930/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.4919 (1.6632)	Prec@1 56.000 (55.353)	Prec@5 87.500 (84.089)
Epoch: [77][5940/9018]	Time 0.751 (0.625)	Data 0.001 (0.003)	Loss 1.5209 (1.6632)	Prec@1 57.000 (55.353)	Prec@5 87.000 (84.090)
Epoch: [77][5950/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.5593 (1.6631)	Prec@1 57.000 (55.353)	Prec@5 86.000 (84.091)
Epoch: [77][5960/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.5700 (1.6632)	Prec@1 56.500 (55.350)	Prec@5 88.000 (84.091)
Epoch: [77][5970/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.8581 (1.6633)	Prec@1 51.000 (55.349)	Prec@5 82.000 (84.091)
Epoch: [77][5980/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.6299 (1.6633)	Prec@1 56.000 (55.349)	Prec@5 86.000 (84.091)
Epoch: [77][5990/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 1.7709 (1.6634)	Prec@1 50.000 (55.345)	Prec@5 82.000 (84.089)
Epoch: [77][6000/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.8137 (1.6634)	Prec@1 50.500 (55.347)	Prec@5 81.500 (84.088)
Epoch: [77][6010/9018]	Time 0.633 (0.625)	Data 0.001 (0.003)	Loss 1.7038 (1.6635)	Prec@1 58.000 (55.346)	Prec@5 83.500 (84.087)
Epoch: [77][6020/9018]	Time 0.612 (0.625)	Data 0.001 (0.003)	Loss 1.5638 (1.6637)	Prec@1 59.000 (55.345)	Prec@5 84.000 (84.084)
Epoch: [77][6030/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.8243 (1.6637)	Prec@1 48.500 (55.344)	Prec@5 81.500 (84.082)
Epoch: [77][6040/9018]	Time 0.664 (0.625)	Data 0.001 (0.003)	Loss 1.7453 (1.6638)	Prec@1 51.500 (55.342)	Prec@5 84.500 (84.080)
Epoch: [77][6050/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.4884 (1.6638)	Prec@1 61.000 (55.344)	Prec@5 85.000 (84.079)
Epoch: [77][6060/9018]	Time 0.599 (0.625)	Data 0.015 (0.003)	Loss 1.7099 (1.6639)	Prec@1 54.000 (55.344)	Prec@5 83.000 (84.080)
Epoch: [77][6070/9018]	Time 0.607 (0.625)	Data 0.016 (0.003)	Loss 1.6627 (1.6639)	Prec@1 57.500 (55.343)	Prec@5 81.000 (84.079)
Epoch: [77][6080/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 1.6820 (1.6639)	Prec@1 55.500 (55.343)	Prec@5 85.000 (84.079)
Epoch: [77][6090/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.6394 (1.6640)	Prec@1 58.000 (55.341)	Prec@5 85.000 (84.077)
Epoch: [77][6100/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.7472 (1.6638)	Prec@1 54.500 (55.344)	Prec@5 80.500 (84.078)
Epoch: [77][6110/9018]	Time 0.585 (0.625)	Data 0.001 (0.003)	Loss 1.7235 (1.6639)	Prec@1 51.000 (55.341)	Prec@5 83.500 (84.075)
Epoch: [77][6120/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.8152 (1.6640)	Prec@1 53.500 (55.340)	Prec@5 83.000 (84.074)
Epoch: [77][6130/9018]	Time 0.620 (0.625)	Data 0.001 (0.003)	Loss 1.2989 (1.6639)	Prec@1 65.500 (55.342)	Prec@5 87.500 (84.075)
Epoch: [77][6140/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.7967 (1.6640)	Prec@1 55.000 (55.342)	Prec@5 81.500 (84.073)
Epoch: [77][6150/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.5285 (1.6641)	Prec@1 58.500 (55.340)	Prec@5 86.000 (84.074)
Epoch: [77][6160/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 1.7091 (1.6641)	Prec@1 54.500 (55.339)	Prec@5 82.500 (84.074)
Epoch: [77][6170/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.4962 (1.6641)	Prec@1 62.000 (55.339)	Prec@5 85.500 (84.075)
Epoch: [77][6180/9018]	Time 0.634 (0.625)	Data 0.002 (0.003)	Loss 1.7029 (1.6641)	Prec@1 52.500 (55.339)	Prec@5 84.000 (84.075)
Epoch: [77][6190/9018]	Time 0.618 (0.625)	Data 0.016 (0.003)	Loss 1.5984 (1.6641)	Prec@1 55.000 (55.337)	Prec@5 85.000 (84.076)
Epoch: [77][6200/9018]	Time 0.628 (0.625)	Data 0.001 (0.003)	Loss 1.4948 (1.6642)	Prec@1 58.000 (55.336)	Prec@5 86.000 (84.074)
Epoch: [77][6210/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.6077 (1.6642)	Prec@1 54.500 (55.333)	Prec@5 84.000 (84.073)
Epoch: [77][6220/9018]	Time 0.772 (0.625)	Data 0.001 (0.003)	Loss 1.7322 (1.6643)	Prec@1 58.000 (55.333)	Prec@5 81.500 (84.074)
Epoch: [77][6230/9018]	Time 0.593 (0.625)	Data 0.001 (0.003)	Loss 1.6785 (1.6643)	Prec@1 55.000 (55.331)	Prec@5 83.000 (84.074)
Epoch: [77][6240/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.8478 (1.6643)	Prec@1 48.000 (55.330)	Prec@5 82.000 (84.076)
Epoch: [77][6250/9018]	Time 0.619 (0.625)	Data 0.012 (0.003)	Loss 1.5718 (1.6644)	Prec@1 58.500 (55.328)	Prec@5 85.500 (84.075)
Epoch: [77][6260/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.6439 (1.6643)	Prec@1 55.500 (55.326)	Prec@5 82.500 (84.076)
Epoch: [77][6270/9018]	Time 0.800 (0.625)	Data 0.001 (0.003)	Loss 1.8135 (1.6644)	Prec@1 51.500 (55.325)	Prec@5 82.500 (84.075)
Epoch: [77][6280/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.8621 (1.6644)	Prec@1 49.500 (55.324)	Prec@5 82.500 (84.074)
Epoch: [77][6290/9018]	Time 0.620 (0.625)	Data 0.017 (0.003)	Loss 1.4523 (1.6644)	Prec@1 63.500 (55.325)	Prec@5 85.500 (84.076)
Epoch: [77][6300/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.8377 (1.6643)	Prec@1 53.500 (55.325)	Prec@5 82.500 (84.078)
Epoch: [77][6310/9018]	Time 0.625 (0.625)	Data 0.014 (0.003)	Loss 1.5598 (1.6644)	Prec@1 58.000 (55.324)	Prec@5 84.500 (84.077)
Epoch: [77][6320/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.7516 (1.6644)	Prec@1 52.500 (55.324)	Prec@5 84.000 (84.077)
Epoch: [77][6330/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.4284 (1.6644)	Prec@1 58.500 (55.326)	Prec@5 88.000 (84.076)
Epoch: [77][6340/9018]	Time 0.634 (0.625)	Data 0.005 (0.003)	Loss 1.6135 (1.6644)	Prec@1 52.500 (55.325)	Prec@5 85.500 (84.076)
Epoch: [77][6350/9018]	Time 0.611 (0.625)	Data 0.015 (0.003)	Loss 1.8385 (1.6645)	Prec@1 49.000 (55.323)	Prec@5 84.000 (84.075)
Epoch: [77][6360/9018]	Time 0.619 (0.625)	Data 0.001 (0.003)	Loss 1.7040 (1.6646)	Prec@1 54.500 (55.321)	Prec@5 83.000 (84.073)
Epoch: [77][6370/9018]	Time 0.655 (0.625)	Data 0.001 (0.003)	Loss 1.4150 (1.6646)	Prec@1 63.000 (55.325)	Prec@5 85.500 (84.074)
Epoch: [77][6380/9018]	Time 0.632 (0.625)	Data 0.015 (0.003)	Loss 1.5436 (1.6646)	Prec@1 57.000 (55.327)	Prec@5 88.000 (84.074)
Epoch: [77][6390/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.6752 (1.6646)	Prec@1 54.500 (55.329)	Prec@5 84.500 (84.073)
Epoch: [77][6400/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.7291 (1.6645)	Prec@1 61.000 (55.332)	Prec@5 82.500 (84.075)
Epoch: [77][6410/9018]	Time 0.630 (0.625)	Data 0.001 (0.003)	Loss 1.7943 (1.6646)	Prec@1 52.500 (55.330)	Prec@5 82.000 (84.074)
Epoch: [77][6420/9018]	Time 0.617 (0.625)	Data 0.010 (0.003)	Loss 1.6377 (1.6646)	Prec@1 56.000 (55.329)	Prec@5 82.500 (84.072)
Epoch: [77][6430/9018]	Time 0.592 (0.625)	Data 0.001 (0.003)	Loss 1.6795 (1.6647)	Prec@1 57.500 (55.330)	Prec@5 83.500 (84.072)
Epoch: [77][6440/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.4829 (1.6647)	Prec@1 61.500 (55.330)	Prec@5 85.500 (84.071)
Epoch: [77][6450/9018]	Time 0.659 (0.625)	Data 0.001 (0.003)	Loss 1.6046 (1.6647)	Prec@1 53.500 (55.330)	Prec@5 82.000 (84.069)
Epoch: [77][6460/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.8130 (1.6647)	Prec@1 51.500 (55.329)	Prec@5 82.000 (84.069)
Epoch: [77][6470/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.5349 (1.6648)	Prec@1 54.000 (55.328)	Prec@5 86.500 (84.068)
Epoch: [77][6480/9018]	Time 0.613 (0.625)	Data 0.013 (0.003)	Loss 1.6767 (1.6649)	Prec@1 55.000 (55.324)	Prec@5 84.000 (84.067)
Epoch: [77][6490/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.4806 (1.6649)	Prec@1 64.000 (55.326)	Prec@5 86.500 (84.068)
Epoch: [77][6500/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.5971 (1.6650)	Prec@1 59.000 (55.324)	Prec@5 85.500 (84.066)
Epoch: [77][6510/9018]	Time 0.609 (0.625)	Data 0.001 (0.003)	Loss 1.5346 (1.6649)	Prec@1 59.000 (55.326)	Prec@5 87.500 (84.067)
Epoch: [77][6520/9018]	Time 0.635 (0.625)	Data 0.001 (0.003)	Loss 1.8698 (1.6649)	Prec@1 52.500 (55.328)	Prec@5 81.000 (84.067)
Epoch: [77][6530/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.8098 (1.6650)	Prec@1 49.500 (55.327)	Prec@5 84.000 (84.068)
Epoch: [77][6540/9018]	Time 0.627 (0.625)	Data 0.001 (0.003)	Loss 1.6225 (1.6649)	Prec@1 56.000 (55.330)	Prec@5 84.500 (84.069)
Epoch: [77][6550/9018]	Time 0.786 (0.625)	Data 0.001 (0.003)	Loss 1.5829 (1.6648)	Prec@1 55.500 (55.331)	Prec@5 87.000 (84.071)
Epoch: [77][6560/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.5436 (1.6649)	Prec@1 60.000 (55.329)	Prec@5 84.000 (84.069)
Epoch: [77][6570/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.8349 (1.6651)	Prec@1 52.000 (55.324)	Prec@5 81.500 (84.067)
Epoch: [77][6580/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.7923 (1.6651)	Prec@1 50.500 (55.324)	Prec@5 84.000 (84.067)
Epoch: [77][6590/9018]	Time 0.607 (0.625)	Data 0.001 (0.003)	Loss 1.6319 (1.6652)	Prec@1 55.500 (55.323)	Prec@5 85.000 (84.066)
Epoch: [77][6600/9018]	Time 0.749 (0.625)	Data 0.001 (0.003)	Loss 1.4938 (1.6651)	Prec@1 59.000 (55.325)	Prec@5 86.500 (84.066)
Epoch: [77][6610/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.7403 (1.6651)	Prec@1 52.500 (55.325)	Prec@5 80.000 (84.064)
Epoch: [77][6620/9018]	Time 0.614 (0.625)	Data 0.001 (0.003)	Loss 1.5920 (1.6652)	Prec@1 53.000 (55.324)	Prec@5 85.000 (84.064)
Epoch: [77][6630/9018]	Time 0.636 (0.625)	Data 0.001 (0.003)	Loss 1.5144 (1.6650)	Prec@1 57.000 (55.327)	Prec@5 85.500 (84.067)
Epoch: [77][6640/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.5875 (1.6651)	Prec@1 53.500 (55.327)	Prec@5 86.000 (84.066)
Epoch: [77][6650/9018]	Time 0.618 (0.625)	Data 0.001 (0.003)	Loss 1.8906 (1.6652)	Prec@1 51.000 (55.323)	Prec@5 81.500 (84.064)
Epoch: [77][6660/9018]	Time 0.610 (0.625)	Data 0.001 (0.003)	Loss 1.9105 (1.6653)	Prec@1 53.000 (55.321)	Prec@5 78.500 (84.062)
Epoch: [77][6670/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.7541 (1.6654)	Prec@1 49.500 (55.320)	Prec@5 86.000 (84.063)
Epoch: [77][6680/9018]	Time 0.595 (0.625)	Data 0.001 (0.003)	Loss 1.7780 (1.6655)	Prec@1 50.000 (55.316)	Prec@5 82.000 (84.063)
Epoch: [77][6690/9018]	Time 0.611 (0.625)	Data 0.001 (0.003)	Loss 1.6666 (1.6654)	Prec@1 56.000 (55.318)	Prec@5 85.500 (84.063)
Epoch: [77][6700/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.7181 (1.6655)	Prec@1 55.500 (55.316)	Prec@5 83.000 (84.062)
Epoch: [77][6710/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.8480 (1.6655)	Prec@1 56.000 (55.315)	Prec@5 81.000 (84.061)
Epoch: [77][6720/9018]	Time 0.608 (0.625)	Data 0.001 (0.003)	Loss 1.8459 (1.6655)	Prec@1 51.500 (55.316)	Prec@5 81.000 (84.060)
Epoch: [77][6730/9018]	Time 0.615 (0.625)	Data 0.001 (0.003)	Loss 1.3412 (1.6655)	Prec@1 60.500 (55.317)	Prec@5 92.000 (84.061)
Epoch: [77][6740/9018]	Time 0.622 (0.625)	Data 0.001 (0.003)	Loss 1.5448 (1.6654)	Prec@1 57.500 (55.317)	Prec@5 84.500 (84.063)
Epoch: [77][6750/9018]	Time 0.602 (0.625)	Data 0.001 (0.003)	Loss 1.7421 (1.6654)	Prec@1 52.500 (55.316)	Prec@5 82.500 (84.064)
Epoch: [77][6760/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.5994 (1.6654)	Prec@1 60.500 (55.316)	Prec@5 84.500 (84.062)
Epoch: [77][6770/9018]	Time 0.616 (0.625)	Data 0.001 (0.003)	Loss 1.6904 (1.6654)	Prec@1 58.500 (55.315)	Prec@5 81.500 (84.062)
Epoch: [77][6780/9018]	Time 0.596 (0.625)	Data 0.001 (0.003)	Loss 1.7311 (1.6654)	Prec@1 54.500 (55.316)	Prec@5 80.000 (84.061)
Epoch: [77][6790/9018]	Time 0.623 (0.625)	Data 0.003 (0.003)	Loss 1.5570 (1.6654)	Prec@1 57.500 (55.317)	Prec@5 85.000 (84.061)
Epoch: [77][6800/9018]	Time 0.641 (0.625)	Data 0.001 (0.003)	Loss 1.5523 (1.6654)	Prec@1 61.000 (55.316)	Prec@5 85.000 (84.061)
Epoch: [77][6810/9018]	Time 0.638 (0.625)	Data 0.001 (0.003)	Loss 1.7979 (1.6655)	Prec@1 55.000 (55.316)	Prec@5 80.500 (84.060)
Epoch: [77][6820/9018]	Time 0.613 (0.625)	Data 0.028 (0.003)	Loss 1.7450 (1.6655)	Prec@1 57.500 (55.317)	Prec@5 82.000 (84.060)
Epoch: [77][6830/9018]	Time 0.606 (0.625)	Data 0.001 (0.003)	Loss 1.5260 (1.6655)	Prec@1 55.500 (55.315)	Prec@5 86.000 (84.060)
Epoch: [77][6840/9018]	Time 0.612 (0.625)	Data 0.016 (0.003)	Loss 1.8327 (1.6655)	Prec@1 53.500 (55.314)	Prec@5 78.000 (84.059)
Epoch: [77][6850/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.7695 (1.6655)	Prec@1 52.000 (55.316)	Prec@5 82.000 (84.058)
Epoch: [77][6860/9018]	Time 0.644 (0.625)	Data 0.014 (0.003)	Loss 1.7344 (1.6656)	Prec@1 52.500 (55.314)	Prec@5 81.500 (84.059)
Epoch: [77][6870/9018]	Time 0.589 (0.625)	Data 0.001 (0.003)	Loss 1.7909 (1.6657)	Prec@1 52.500 (55.314)	Prec@5 82.500 (84.056)
Epoch: [77][6880/9018]	Time 0.803 (0.625)	Data 0.001 (0.003)	Loss 1.7447 (1.6657)	Prec@1 51.500 (55.312)	Prec@5 82.500 (84.055)
Epoch: [77][6890/9018]	Time 0.594 (0.625)	Data 0.001 (0.003)	Loss 1.5879 (1.6657)	Prec@1 56.500 (55.313)	Prec@5 84.500 (84.053)
Epoch: [77][6900/9018]	Time 0.646 (0.625)	Data 0.002 (0.003)	Loss 1.8282 (1.6658)	Prec@1 54.000 (55.311)	Prec@5 81.500 (84.051)
Epoch: [77][6910/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.7139 (1.6658)	Prec@1 52.500 (55.310)	Prec@5 85.000 (84.051)
Epoch: [77][6920/9018]	Time 0.637 (0.625)	Data 0.001 (0.003)	Loss 1.6479 (1.6658)	Prec@1 53.500 (55.309)	Prec@5 84.500 (84.049)
Epoch: [77][6930/9018]	Time 0.775 (0.625)	Data 0.001 (0.003)	Loss 1.6606 (1.6659)	Prec@1 55.000 (55.310)	Prec@5 85.500 (84.047)
Epoch: [77][6940/9018]	Time 0.597 (0.625)	Data 0.001 (0.003)	Loss 1.6732 (1.6658)	Prec@1 57.000 (55.311)	Prec@5 86.000 (84.049)
Epoch: [77][6950/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.6341 (1.6658)	Prec@1 53.000 (55.310)	Prec@5 87.000 (84.049)
Epoch: [77][6960/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8012 (1.6658)	Prec@1 52.500 (55.310)	Prec@5 81.000 (84.048)
Epoch: [77][6970/9018]	Time 0.639 (0.625)	Data 0.017 (0.003)	Loss 1.7819 (1.6658)	Prec@1 49.000 (55.308)	Prec@5 81.500 (84.048)
Epoch: [77][6980/9018]	Time 0.626 (0.625)	Data 0.001 (0.003)	Loss 1.6040 (1.6659)	Prec@1 56.500 (55.310)	Prec@5 84.500 (84.048)
Epoch: [77][6990/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.7108 (1.6658)	Prec@1 56.500 (55.311)	Prec@5 84.500 (84.048)
Epoch: [77][7000/9018]	Time 0.646 (0.625)	Data 0.004 (0.003)	Loss 1.6767 (1.6659)	Prec@1 58.500 (55.311)	Prec@5 85.500 (84.047)
Epoch: [77][7010/9018]	Time 0.623 (0.625)	Data 0.001 (0.003)	Loss 1.6708 (1.6659)	Prec@1 56.000 (55.313)	Prec@5 85.000 (84.047)
Epoch: [77][7020/9018]	Time 0.603 (0.625)	Data 0.001 (0.003)	Loss 1.5565 (1.6659)	Prec@1 62.000 (55.314)	Prec@5 86.500 (84.047)
Epoch: [77][7030/9018]	Time 0.640 (0.625)	Data 0.001 (0.003)	Loss 1.8310 (1.6660)	Prec@1 55.000 (55.314)	Prec@5 83.000 (84.046)
Epoch: [77][7040/9018]	Time 0.644 (0.625)	Data 0.001 (0.003)	Loss 1.6858 (1.6661)	Prec@1 56.500 (55.310)	Prec@5 83.000 (84.043)
Epoch: [77][7050/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.7860 (1.6662)	Prec@1 53.000 (55.306)	Prec@5 81.000 (84.042)
Epoch: [77][7060/9018]	Time 0.599 (0.625)	Data 0.001 (0.003)	Loss 1.7299 (1.6662)	Prec@1 54.000 (55.307)	Prec@5 83.500 (84.042)
Epoch: [77][7070/9018]	Time 0.617 (0.625)	Data 0.001 (0.003)	Loss 1.7892 (1.6663)	Prec@1 51.500 (55.306)	Prec@5 81.500 (84.040)
Epoch: [77][7080/9018]	Time 0.600 (0.625)	Data 0.001 (0.003)	Loss 1.5716 (1.6663)	Prec@1 54.500 (55.308)	Prec@5 84.000 (84.040)
Epoch: [77][7090/9018]	Time 0.634 (0.624)	Data 0.017 (0.003)	Loss 1.7832 (1.6663)	Prec@1 47.500 (55.308)	Prec@5 81.000 (84.040)
Epoch: [77][7100/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.6974 (1.6662)	Prec@1 57.000 (55.309)	Prec@5 81.000 (84.041)
Epoch: [77][7110/9018]	Time 0.624 (0.624)	Data 0.002 (0.003)	Loss 1.6594 (1.6662)	Prec@1 54.500 (55.309)	Prec@5 86.000 (84.042)
Epoch: [77][7120/9018]	Time 0.613 (0.625)	Data 0.001 (0.003)	Loss 1.8501 (1.6662)	Prec@1 42.500 (55.308)	Prec@5 87.500 (84.041)
Epoch: [77][7130/9018]	Time 0.609 (0.625)	Data 0.017 (0.003)	Loss 1.7027 (1.6662)	Prec@1 57.000 (55.310)	Prec@5 81.500 (84.040)
Epoch: [77][7140/9018]	Time 0.609 (0.624)	Data 0.016 (0.003)	Loss 1.7749 (1.6662)	Prec@1 53.500 (55.310)	Prec@5 83.000 (84.041)
Epoch: [77][7150/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.6986 (1.6662)	Prec@1 55.000 (55.311)	Prec@5 81.500 (84.040)
Epoch: [77][7160/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.5972 (1.6662)	Prec@1 59.500 (55.312)	Prec@5 86.500 (84.040)
Epoch: [77][7170/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.6138 (1.6662)	Prec@1 56.500 (55.312)	Prec@5 84.500 (84.040)
Epoch: [77][7180/9018]	Time 0.625 (0.625)	Data 0.001 (0.003)	Loss 1.8634 (1.6661)	Prec@1 48.500 (55.312)	Prec@5 80.000 (84.039)
Epoch: [77][7190/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.6997 (1.6662)	Prec@1 56.000 (55.312)	Prec@5 83.000 (84.039)
Epoch: [77][7200/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.7325 (1.6662)	Prec@1 51.500 (55.308)	Prec@5 84.500 (84.039)
Epoch: [77][7210/9018]	Time 0.800 (0.624)	Data 0.001 (0.003)	Loss 1.6421 (1.6662)	Prec@1 57.500 (55.308)	Prec@5 84.000 (84.040)
Epoch: [77][7220/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.5820 (1.6663)	Prec@1 56.500 (55.307)	Prec@5 86.000 (84.039)
Epoch: [77][7230/9018]	Time 0.635 (0.625)	Data 0.002 (0.003)	Loss 1.8724 (1.6663)	Prec@1 51.500 (55.306)	Prec@5 82.000 (84.039)
Epoch: [77][7240/9018]	Time 0.636 (0.624)	Data 0.001 (0.003)	Loss 1.6467 (1.6663)	Prec@1 56.000 (55.305)	Prec@5 83.000 (84.038)
Epoch: [77][7250/9018]	Time 0.601 (0.625)	Data 0.001 (0.003)	Loss 1.6358 (1.6664)	Prec@1 57.000 (55.303)	Prec@5 83.000 (84.038)
Epoch: [77][7260/9018]	Time 0.764 (0.625)	Data 0.001 (0.003)	Loss 1.5400 (1.6663)	Prec@1 57.000 (55.306)	Prec@5 87.500 (84.040)
Epoch: [77][7270/9018]	Time 0.624 (0.625)	Data 0.001 (0.003)	Loss 1.7090 (1.6663)	Prec@1 56.000 (55.306)	Prec@5 81.500 (84.039)
Epoch: [77][7280/9018]	Time 0.587 (0.625)	Data 0.001 (0.003)	Loss 1.6596 (1.6663)	Prec@1 52.000 (55.305)	Prec@5 83.000 (84.039)
Epoch: [77][7290/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.7122 (1.6663)	Prec@1 54.000 (55.308)	Prec@5 84.000 (84.039)
Epoch: [77][7300/9018]	Time 0.615 (0.624)	Data 0.016 (0.003)	Loss 1.6254 (1.6663)	Prec@1 55.500 (55.307)	Prec@5 85.000 (84.039)
Epoch: [77][7310/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.5557 (1.6663)	Prec@1 55.500 (55.307)	Prec@5 85.500 (84.040)
Epoch: [77][7320/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.6312 (1.6662)	Prec@1 54.000 (55.309)	Prec@5 87.000 (84.042)
Epoch: [77][7330/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.7214 (1.6663)	Prec@1 53.000 (55.307)	Prec@5 83.500 (84.042)
Epoch: [77][7340/9018]	Time 0.626 (0.624)	Data 0.004 (0.003)	Loss 1.7063 (1.6664)	Prec@1 54.000 (55.304)	Prec@5 82.000 (84.039)
Epoch: [77][7350/9018]	Time 0.630 (0.625)	Data 0.016 (0.003)	Loss 1.5697 (1.6664)	Prec@1 52.500 (55.303)	Prec@5 85.000 (84.039)
Epoch: [77][7360/9018]	Time 0.639 (0.625)	Data 0.001 (0.003)	Loss 1.4096 (1.6665)	Prec@1 61.500 (55.304)	Prec@5 89.000 (84.039)
Epoch: [77][7370/9018]	Time 0.621 (0.625)	Data 0.001 (0.003)	Loss 1.7209 (1.6665)	Prec@1 52.500 (55.300)	Prec@5 86.000 (84.038)
Epoch: [77][7380/9018]	Time 0.601 (0.624)	Data 0.001 (0.003)	Loss 1.6349 (1.6665)	Prec@1 52.000 (55.299)	Prec@5 83.500 (84.038)
Epoch: [77][7390/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.8136 (1.6665)	Prec@1 51.500 (55.301)	Prec@5 82.000 (84.038)
Epoch: [77][7400/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.6085 (1.6665)	Prec@1 58.000 (55.301)	Prec@5 83.500 (84.040)
Epoch: [77][7410/9018]	Time 0.627 (0.624)	Data 0.001 (0.003)	Loss 1.7911 (1.6666)	Prec@1 50.500 (55.300)	Prec@5 82.500 (84.038)
Epoch: [77][7420/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.5031 (1.6665)	Prec@1 61.000 (55.301)	Prec@5 84.000 (84.038)
Epoch: [77][7430/9018]	Time 0.633 (0.624)	Data 0.016 (0.003)	Loss 1.5506 (1.6665)	Prec@1 56.000 (55.304)	Prec@5 87.500 (84.038)
Epoch: [77][7440/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.5585 (1.6665)	Prec@1 54.000 (55.304)	Prec@5 88.500 (84.040)
Epoch: [77][7450/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.7410 (1.6664)	Prec@1 51.500 (55.304)	Prec@5 82.500 (84.041)
Epoch: [77][7460/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.8062 (1.6664)	Prec@1 51.000 (55.303)	Prec@5 80.000 (84.041)
Epoch: [77][7470/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.7076 (1.6664)	Prec@1 59.000 (55.303)	Prec@5 81.000 (84.042)
Epoch: [77][7480/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.5768 (1.6663)	Prec@1 53.000 (55.303)	Prec@5 87.500 (84.042)
Epoch: [77][7490/9018]	Time 0.608 (0.624)	Data 0.004 (0.003)	Loss 1.8876 (1.6664)	Prec@1 50.000 (55.302)	Prec@5 76.500 (84.039)
Epoch: [77][7500/9018]	Time 0.590 (0.624)	Data 0.014 (0.003)	Loss 1.4261 (1.6664)	Prec@1 63.000 (55.303)	Prec@5 84.000 (84.040)
Epoch: [77][7510/9018]	Time 0.631 (0.624)	Data 0.001 (0.003)	Loss 1.8510 (1.6664)	Prec@1 56.000 (55.301)	Prec@5 80.000 (84.040)
Epoch: [77][7520/9018]	Time 0.635 (0.624)	Data 0.001 (0.003)	Loss 1.5504 (1.6664)	Prec@1 54.500 (55.303)	Prec@5 84.000 (84.040)
Epoch: [77][7530/9018]	Time 0.612 (0.624)	Data 0.010 (0.003)	Loss 1.4929 (1.6664)	Prec@1 58.000 (55.303)	Prec@5 89.500 (84.040)
Epoch: [77][7540/9018]	Time 0.719 (0.624)	Data 0.001 (0.003)	Loss 1.8556 (1.6664)	Prec@1 52.500 (55.303)	Prec@5 81.000 (84.040)
Epoch: [77][7550/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.8070 (1.6665)	Prec@1 53.000 (55.300)	Prec@5 82.500 (84.038)
Epoch: [77][7560/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.8165 (1.6665)	Prec@1 53.500 (55.300)	Prec@5 79.000 (84.039)
Epoch: [77][7570/9018]	Time 0.619 (0.624)	Data 0.003 (0.003)	Loss 1.7388 (1.6666)	Prec@1 50.000 (55.298)	Prec@5 85.500 (84.038)
Epoch: [77][7580/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.6754 (1.6666)	Prec@1 58.000 (55.299)	Prec@5 84.500 (84.037)
Epoch: [77][7590/9018]	Time 0.766 (0.624)	Data 0.001 (0.003)	Loss 1.8214 (1.6666)	Prec@1 53.500 (55.299)	Prec@5 83.500 (84.037)
Epoch: [77][7600/9018]	Time 0.599 (0.624)	Data 0.015 (0.003)	Loss 1.6541 (1.6666)	Prec@1 57.000 (55.298)	Prec@5 83.000 (84.037)
Epoch: [77][7610/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.8170 (1.6666)	Prec@1 53.000 (55.296)	Prec@5 83.000 (84.038)
Epoch: [77][7620/9018]	Time 0.642 (0.624)	Data 0.001 (0.003)	Loss 1.5194 (1.6667)	Prec@1 59.500 (55.295)	Prec@5 87.500 (84.038)
Epoch: [77][7630/9018]	Time 0.596 (0.624)	Data 0.009 (0.003)	Loss 1.7493 (1.6668)	Prec@1 50.000 (55.293)	Prec@5 83.000 (84.034)
Epoch: [77][7640/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.7068 (1.6668)	Prec@1 54.000 (55.292)	Prec@5 84.000 (84.034)
Epoch: [77][7650/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.8016 (1.6669)	Prec@1 49.000 (55.290)	Prec@5 78.000 (84.031)
Epoch: [77][7660/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.3642 (1.6670)	Prec@1 64.500 (55.290)	Prec@5 91.000 (84.030)
Epoch: [77][7670/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.5716 (1.6669)	Prec@1 60.500 (55.293)	Prec@5 84.500 (84.030)
Epoch: [77][7680/9018]	Time 0.620 (0.624)	Data 0.016 (0.003)	Loss 1.6654 (1.6670)	Prec@1 55.500 (55.293)	Prec@5 81.500 (84.028)
Epoch: [77][7690/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.5496 (1.6669)	Prec@1 61.000 (55.293)	Prec@5 81.500 (84.029)
Epoch: [77][7700/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.7547 (1.6670)	Prec@1 51.500 (55.291)	Prec@5 82.000 (84.030)
Epoch: [77][7710/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.7987 (1.6671)	Prec@1 57.500 (55.290)	Prec@5 79.000 (84.027)
Epoch: [77][7720/9018]	Time 0.629 (0.624)	Data 0.001 (0.003)	Loss 1.6086 (1.6672)	Prec@1 57.500 (55.287)	Prec@5 85.000 (84.026)
Epoch: [77][7730/9018]	Time 0.595 (0.624)	Data 0.004 (0.003)	Loss 1.4525 (1.6671)	Prec@1 58.500 (55.288)	Prec@5 88.000 (84.027)
Epoch: [77][7740/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.6619 (1.6671)	Prec@1 52.500 (55.289)	Prec@5 85.000 (84.027)
Epoch: [77][7750/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.6807 (1.6672)	Prec@1 51.000 (55.287)	Prec@5 84.500 (84.026)
Epoch: [77][7760/9018]	Time 0.614 (0.624)	Data 0.015 (0.003)	Loss 1.8485 (1.6672)	Prec@1 52.000 (55.288)	Prec@5 81.000 (84.027)
Epoch: [77][7770/9018]	Time 0.620 (0.624)	Data 0.001 (0.003)	Loss 1.6184 (1.6672)	Prec@1 59.500 (55.287)	Prec@5 86.500 (84.027)
Epoch: [77][7780/9018]	Time 0.628 (0.624)	Data 0.001 (0.003)	Loss 1.6385 (1.6672)	Prec@1 56.000 (55.286)	Prec@5 84.500 (84.025)
Epoch: [77][7790/9018]	Time 0.632 (0.624)	Data 0.001 (0.003)	Loss 1.6982 (1.6672)	Prec@1 50.000 (55.286)	Prec@5 85.000 (84.026)
Epoch: [77][7800/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.5598 (1.6672)	Prec@1 56.000 (55.284)	Prec@5 86.500 (84.026)
Epoch: [77][7810/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.4878 (1.6672)	Prec@1 57.500 (55.282)	Prec@5 88.500 (84.027)
Epoch: [77][7820/9018]	Time 0.624 (0.624)	Data 0.001 (0.003)	Loss 1.7175 (1.6672)	Prec@1 51.000 (55.283)	Prec@5 82.500 (84.028)
Epoch: [77][7830/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.5720 (1.6671)	Prec@1 58.000 (55.284)	Prec@5 83.500 (84.029)
Epoch: [77][7840/9018]	Time 0.637 (0.624)	Data 0.001 (0.003)	Loss 1.5597 (1.6671)	Prec@1 53.000 (55.281)	Prec@5 84.500 (84.028)
Epoch: [77][7850/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.4437 (1.6671)	Prec@1 59.000 (55.281)	Prec@5 87.000 (84.028)
Epoch: [77][7860/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.5617 (1.6672)	Prec@1 55.000 (55.279)	Prec@5 86.500 (84.027)
Epoch: [77][7870/9018]	Time 0.742 (0.624)	Data 0.001 (0.003)	Loss 1.5241 (1.6672)	Prec@1 57.000 (55.279)	Prec@5 85.500 (84.028)
Epoch: [77][7880/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.5288 (1.6673)	Prec@1 57.500 (55.278)	Prec@5 86.000 (84.026)
Epoch: [77][7890/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 1.6029 (1.6673)	Prec@1 56.500 (55.278)	Prec@5 86.500 (84.027)
Epoch: [77][7900/9018]	Time 0.630 (0.624)	Data 0.001 (0.003)	Loss 1.3852 (1.6672)	Prec@1 61.000 (55.279)	Prec@5 88.500 (84.027)
Epoch: [77][7910/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.7764 (1.6672)	Prec@1 58.000 (55.279)	Prec@5 84.500 (84.027)
Epoch: [77][7920/9018]	Time 0.736 (0.624)	Data 0.001 (0.003)	Loss 1.5216 (1.6673)	Prec@1 58.000 (55.280)	Prec@5 87.000 (84.025)
Epoch: [77][7930/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 1.8222 (1.6674)	Prec@1 51.000 (55.277)	Prec@5 79.000 (84.024)
Epoch: [77][7940/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.7119 (1.6675)	Prec@1 58.000 (55.278)	Prec@5 84.000 (84.024)
Epoch: [77][7950/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.7863 (1.6675)	Prec@1 57.000 (55.278)	Prec@5 79.000 (84.023)
Epoch: [77][7960/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.8159 (1.6675)	Prec@1 52.000 (55.278)	Prec@5 77.500 (84.021)
Epoch: [77][7970/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.6501 (1.6675)	Prec@1 57.500 (55.279)	Prec@5 83.500 (84.020)
Epoch: [77][7980/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.6498 (1.6675)	Prec@1 56.500 (55.279)	Prec@5 84.500 (84.019)
Epoch: [77][7990/9018]	Time 0.638 (0.624)	Data 0.001 (0.003)	Loss 1.6736 (1.6676)	Prec@1 55.000 (55.277)	Prec@5 81.500 (84.018)
Epoch: [77][8000/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.7505 (1.6676)	Prec@1 53.000 (55.276)	Prec@5 80.500 (84.016)
Epoch: [77][8010/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.6331 (1.6676)	Prec@1 56.000 (55.275)	Prec@5 87.500 (84.017)
Epoch: [77][8020/9018]	Time 0.629 (0.624)	Data 0.017 (0.003)	Loss 1.5986 (1.6676)	Prec@1 60.000 (55.276)	Prec@5 85.500 (84.017)
Epoch: [77][8030/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.5482 (1.6676)	Prec@1 62.500 (55.278)	Prec@5 85.000 (84.016)
Epoch: [77][8040/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.5512 (1.6676)	Prec@1 60.500 (55.277)	Prec@5 83.000 (84.016)
Epoch: [77][8050/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.6241 (1.6677)	Prec@1 59.500 (55.278)	Prec@5 84.500 (84.016)
Epoch: [77][8060/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.7464 (1.6677)	Prec@1 55.000 (55.277)	Prec@5 82.000 (84.015)
Epoch: [77][8070/9018]	Time 0.590 (0.624)	Data 0.001 (0.003)	Loss 1.7883 (1.6677)	Prec@1 49.000 (55.277)	Prec@5 83.000 (84.015)
Epoch: [77][8080/9018]	Time 0.633 (0.624)	Data 0.001 (0.003)	Loss 1.8543 (1.6678)	Prec@1 49.500 (55.275)	Prec@5 82.000 (84.015)
Epoch: [77][8090/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.6845 (1.6678)	Prec@1 56.500 (55.275)	Prec@5 82.500 (84.015)
Epoch: [77][8100/9018]	Time 0.627 (0.624)	Data 0.006 (0.003)	Loss 1.4021 (1.6678)	Prec@1 58.000 (55.275)	Prec@5 91.000 (84.015)
Epoch: [77][8110/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.4210 (1.6677)	Prec@1 62.000 (55.276)	Prec@5 88.000 (84.016)
Epoch: [77][8120/9018]	Time 0.635 (0.624)	Data 0.015 (0.003)	Loss 1.9228 (1.6677)	Prec@1 45.500 (55.275)	Prec@5 80.500 (84.015)
Epoch: [77][8130/9018]	Time 0.618 (0.624)	Data 0.015 (0.003)	Loss 1.5534 (1.6677)	Prec@1 59.500 (55.276)	Prec@5 86.000 (84.015)
Epoch: [77][8140/9018]	Time 0.586 (0.624)	Data 0.001 (0.003)	Loss 1.5722 (1.6678)	Prec@1 57.500 (55.275)	Prec@5 85.500 (84.013)
Epoch: [77][8150/9018]	Time 0.614 (0.624)	Data 0.001 (0.003)	Loss 1.6929 (1.6678)	Prec@1 56.000 (55.274)	Prec@5 86.000 (84.013)
Epoch: [77][8160/9018]	Time 0.610 (0.624)	Data 0.014 (0.003)	Loss 1.5490 (1.6677)	Prec@1 58.000 (55.275)	Prec@5 87.000 (84.015)
Epoch: [77][8170/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.9251 (1.6678)	Prec@1 51.000 (55.273)	Prec@5 79.000 (84.014)
Epoch: [77][8180/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.6137 (1.6677)	Prec@1 52.500 (55.277)	Prec@5 89.000 (84.017)
Epoch: [77][8190/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.7064 (1.6677)	Prec@1 48.000 (55.277)	Prec@5 85.500 (84.016)
Epoch: [77][8200/9018]	Time 0.768 (0.624)	Data 0.001 (0.003)	Loss 1.4612 (1.6677)	Prec@1 58.000 (55.277)	Prec@5 88.500 (84.016)
Epoch: [77][8210/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.6930 (1.6676)	Prec@1 56.000 (55.279)	Prec@5 81.500 (84.017)
Epoch: [77][8220/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.6964 (1.6676)	Prec@1 53.000 (55.279)	Prec@5 84.500 (84.018)
Epoch: [77][8230/9018]	Time 0.648 (0.624)	Data 0.016 (0.003)	Loss 1.5346 (1.6675)	Prec@1 57.500 (55.281)	Prec@5 86.500 (84.019)
Epoch: [77][8240/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.7167 (1.6676)	Prec@1 53.000 (55.279)	Prec@5 85.000 (84.019)
Epoch: [77][8250/9018]	Time 0.767 (0.624)	Data 0.001 (0.003)	Loss 1.6733 (1.6676)	Prec@1 54.500 (55.277)	Prec@5 85.500 (84.018)
Epoch: [77][8260/9018]	Time 0.613 (0.624)	Data 0.004 (0.003)	Loss 1.6624 (1.6677)	Prec@1 57.000 (55.278)	Prec@5 83.500 (84.017)
Epoch: [77][8270/9018]	Time 0.626 (0.624)	Data 0.001 (0.003)	Loss 1.5546 (1.6676)	Prec@1 54.000 (55.280)	Prec@5 84.500 (84.017)
Epoch: [77][8280/9018]	Time 0.617 (0.624)	Data 0.002 (0.003)	Loss 1.7812 (1.6676)	Prec@1 53.500 (55.280)	Prec@5 81.500 (84.016)
Epoch: [77][8290/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.8723 (1.6676)	Prec@1 52.500 (55.279)	Prec@5 81.000 (84.016)
Epoch: [77][8300/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 1.6709 (1.6677)	Prec@1 57.500 (55.279)	Prec@5 83.500 (84.016)
Epoch: [77][8310/9018]	Time 0.625 (0.624)	Data 0.001 (0.003)	Loss 1.4500 (1.6676)	Prec@1 56.500 (55.279)	Prec@5 85.500 (84.017)
Epoch: [77][8320/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.4616 (1.6675)	Prec@1 57.000 (55.280)	Prec@5 87.000 (84.017)
Epoch: [77][8330/9018]	Time 0.622 (0.624)	Data 0.001 (0.003)	Loss 1.7697 (1.6676)	Prec@1 54.500 (55.279)	Prec@5 78.000 (84.015)
Epoch: [77][8340/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.6968 (1.6676)	Prec@1 56.000 (55.279)	Prec@5 86.000 (84.017)
Epoch: [77][8350/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.5244 (1.6676)	Prec@1 57.500 (55.278)	Prec@5 87.500 (84.016)
Epoch: [77][8360/9018]	Time 0.591 (0.624)	Data 0.001 (0.003)	Loss 1.8216 (1.6677)	Prec@1 53.000 (55.277)	Prec@5 82.000 (84.016)
Epoch: [77][8370/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.9247 (1.6676)	Prec@1 50.500 (55.279)	Prec@5 77.500 (84.016)
Epoch: [77][8380/9018]	Time 0.602 (0.624)	Data 0.001 (0.003)	Loss 1.7221 (1.6676)	Prec@1 51.000 (55.280)	Prec@5 84.000 (84.016)
Epoch: [77][8390/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.5137 (1.6675)	Prec@1 58.500 (55.280)	Prec@5 85.000 (84.017)
Epoch: [77][8400/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.6129 (1.6676)	Prec@1 52.500 (55.280)	Prec@5 86.000 (84.015)
Epoch: [77][8410/9018]	Time 0.594 (0.624)	Data 0.001 (0.003)	Loss 1.6037 (1.6675)	Prec@1 53.500 (55.281)	Prec@5 84.500 (84.018)
Epoch: [77][8420/9018]	Time 0.621 (0.624)	Data 0.001 (0.003)	Loss 1.6203 (1.6675)	Prec@1 58.000 (55.280)	Prec@5 84.500 (84.018)
Epoch: [77][8430/9018]	Time 0.604 (0.624)	Data 0.014 (0.003)	Loss 1.7302 (1.6675)	Prec@1 55.000 (55.280)	Prec@5 79.500 (84.016)
Epoch: [77][8440/9018]	Time 0.597 (0.624)	Data 0.001 (0.003)	Loss 1.8609 (1.6676)	Prec@1 48.500 (55.278)	Prec@5 84.500 (84.016)
Epoch: [77][8450/9018]	Time 0.612 (0.624)	Data 0.001 (0.003)	Loss 2.0731 (1.6676)	Prec@1 50.500 (55.278)	Prec@5 76.500 (84.017)
Epoch: [77][8460/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.5298 (1.6677)	Prec@1 55.500 (55.276)	Prec@5 84.500 (84.016)
Epoch: [77][8470/9018]	Time 0.617 (0.624)	Data 0.001 (0.003)	Loss 1.7989 (1.6676)	Prec@1 54.000 (55.277)	Prec@5 83.000 (84.017)
Epoch: [77][8480/9018]	Time 0.608 (0.624)	Data 0.001 (0.003)	Loss 1.7099 (1.6677)	Prec@1 57.500 (55.277)	Prec@5 83.500 (84.016)
Epoch: [77][8490/9018]	Time 0.599 (0.624)	Data 0.005 (0.003)	Loss 1.5729 (1.6676)	Prec@1 58.500 (55.278)	Prec@5 84.000 (84.017)
Epoch: [77][8500/9018]	Time 0.607 (0.624)	Data 0.001 (0.003)	Loss 1.5789 (1.6675)	Prec@1 59.000 (55.279)	Prec@5 85.500 (84.019)
Epoch: [77][8510/9018]	Time 0.596 (0.624)	Data 0.001 (0.003)	Loss 1.4658 (1.6675)	Prec@1 62.000 (55.280)	Prec@5 88.000 (84.020)
Epoch: [77][8520/9018]	Time 0.610 (0.624)	Data 0.001 (0.003)	Loss 1.5759 (1.6675)	Prec@1 61.000 (55.283)	Prec@5 84.500 (84.020)
Epoch: [77][8530/9018]	Time 0.717 (0.624)	Data 0.001 (0.003)	Loss 1.7030 (1.6675)	Prec@1 51.000 (55.281)	Prec@5 82.000 (84.017)
Epoch: [77][8540/9018]	Time 0.593 (0.624)	Data 0.001 (0.003)	Loss 1.7190 (1.6675)	Prec@1 51.500 (55.283)	Prec@5 83.500 (84.018)
Epoch: [77][8550/9018]	Time 0.595 (0.624)	Data 0.001 (0.003)	Loss 1.5719 (1.6675)	Prec@1 54.000 (55.282)	Prec@5 87.000 (84.019)
Epoch: [77][8560/9018]	Time 0.592 (0.624)	Data 0.001 (0.003)	Loss 1.7481 (1.6676)	Prec@1 53.500 (55.281)	Prec@5 82.500 (84.018)
Epoch: [77][8570/9018]	Time 0.616 (0.624)	Data 0.013 (0.003)	Loss 1.8441 (1.6677)	Prec@1 47.500 (55.279)	Prec@5 82.000 (84.016)
Epoch: [77][8580/9018]	Time 0.783 (0.624)	Data 0.001 (0.003)	Loss 1.7039 (1.6677)	Prec@1 54.500 (55.278)	Prec@5 80.000 (84.015)
Epoch: [77][8590/9018]	Time 0.606 (0.624)	Data 0.001 (0.003)	Loss 1.6813 (1.6677)	Prec@1 56.500 (55.279)	Prec@5 82.000 (84.015)
Epoch: [77][8600/9018]	Time 0.603 (0.624)	Data 0.001 (0.003)	Loss 1.5636 (1.6677)	Prec@1 57.000 (55.279)	Prec@5 86.000 (84.015)
Epoch: [77][8610/9018]	Time 0.618 (0.624)	Data 0.001 (0.003)	Loss 1.8733 (1.6677)	Prec@1 50.000 (55.278)	Prec@5 80.000 (84.015)
Epoch: [77][8620/9018]	Time 0.613 (0.624)	Data 0.012 (0.003)	Loss 1.6303 (1.6677)	Prec@1 58.000 (55.279)	Prec@5 87.500 (84.014)
Epoch: [77][8630/9018]	Time 0.615 (0.624)	Data 0.001 (0.003)	Loss 1.6382 (1.6678)	Prec@1 59.500 (55.278)	Prec@5 86.000 (84.013)
Epoch: [77][8640/9018]	Time 0.589 (0.624)	Data 0.001 (0.003)	Loss 1.7996 (1.6678)	Prec@1 46.500 (55.277)	Prec@5 85.000 (84.014)
Epoch: [77][8650/9018]	Time 0.623 (0.624)	Data 0.001 (0.003)	Loss 1.5782 (1.6678)	Prec@1 58.000 (55.278)	Prec@5 84.000 (84.012)
Epoch: [77][8660/9018]	Time 0.604 (0.624)	Data 0.007 (0.003)	Loss 1.6479 (1.6678)	Prec@1 54.500 (55.278)	Prec@5 80.000 (84.011)
Epoch: [77][8670/9018]	Time 0.629 (0.624)	Data 0.016 (0.003)	Loss 1.7494 (1.6678)	Prec@1 52.500 (55.277)	Prec@5 82.000 (84.010)
Epoch: [77][8680/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.7325 (1.6679)	Prec@1 55.000 (55.277)	Prec@5 84.500 (84.009)
Epoch: [77][8690/9018]	Time 0.604 (0.624)	Data 0.001 (0.003)	Loss 1.5320 (1.6679)	Prec@1 52.000 (55.276)	Prec@5 86.500 (84.009)
Epoch: [77][8700/9018]	Time 0.613 (0.624)	Data 0.001 (0.003)	Loss 1.5994 (1.6679)	Prec@1 58.500 (55.276)	Prec@5 86.000 (84.009)
Epoch: [77][8710/9018]	Time 0.619 (0.624)	Data 0.001 (0.003)	Loss 1.6616 (1.6679)	Prec@1 56.500 (55.276)	Prec@5 85.000 (84.009)
Epoch: [77][8720/9018]	Time 0.599 (0.624)	Data 0.001 (0.003)	Loss 1.7721 (1.6679)	Prec@1 53.000 (55.277)	Prec@5 83.500 (84.009)
Epoch: [77][8730/9018]	Time 0.616 (0.624)	Data 0.001 (0.003)	Loss 1.6181 (1.6679)	Prec@1 49.500 (55.276)	Prec@5 87.000 (84.009)
Epoch: [77][8740/9018]	Time 0.605 (0.624)	Data 0.008 (0.003)	Loss 1.5337 (1.6679)	Prec@1 57.500 (55.276)	Prec@5 85.500 (84.008)
Epoch: [77][8750/9018]	Time 0.611 (0.624)	Data 0.001 (0.003)	Loss 1.6607 (1.6680)	Prec@1 59.000 (55.275)	Prec@5 85.500 (84.009)
Epoch: [77][8760/9018]	Time 0.605 (0.624)	Data 0.001 (0.003)	Loss 1.5275 (1.6680)	Prec@1 58.000 (55.273)	Prec@5 83.500 (84.009)
Epoch: [77][8770/9018]	Time 0.637 (0.624)	Data 0.010 (0.003)	Loss 1.4802 (1.6680)	Prec@1 57.500 (55.273)	Prec@5 87.000 (84.008)
Epoch: [77][8780/9018]	Time 0.598 (0.624)	Data 0.001 (0.003)	Loss 1.8231 (1.6679)	Prec@1 49.000 (55.274)	Prec@5 83.500 (84.008)
Epoch: [77][8790/9018]	Time 0.592 (0.623)	Data 0.001 (0.003)	Loss 1.6865 (1.6680)	Prec@1 55.500 (55.273)	Prec@5 81.000 (84.007)
Epoch: [77][8800/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.6948 (1.6680)	Prec@1 51.000 (55.273)	Prec@5 84.000 (84.007)
Epoch: [77][8810/9018]	Time 0.626 (0.623)	Data 0.002 (0.003)	Loss 1.6310 (1.6681)	Prec@1 56.500 (55.272)	Prec@5 83.500 (84.006)
Epoch: [77][8820/9018]	Time 0.606 (0.623)	Data 0.016 (0.003)	Loss 1.7373 (1.6681)	Prec@1 50.500 (55.270)	Prec@5 84.000 (84.006)
Epoch: [77][8830/9018]	Time 0.623 (0.623)	Data 0.001 (0.003)	Loss 1.6613 (1.6681)	Prec@1 54.500 (55.269)	Prec@5 85.500 (84.006)
Epoch: [77][8840/9018]	Time 0.593 (0.623)	Data 0.001 (0.003)	Loss 1.9608 (1.6682)	Prec@1 45.000 (55.268)	Prec@5 82.000 (84.005)
Epoch: [77][8850/9018]	Time 0.619 (0.623)	Data 0.001 (0.003)	Loss 1.6999 (1.6682)	Prec@1 55.000 (55.267)	Prec@5 81.000 (84.005)
Epoch: [77][8860/9018]	Time 0.754 (0.623)	Data 0.001 (0.003)	Loss 1.5458 (1.6682)	Prec@1 56.500 (55.265)	Prec@5 86.000 (84.006)
Epoch: [77][8870/9018]	Time 0.620 (0.623)	Data 0.001 (0.003)	Loss 1.6663 (1.6682)	Prec@1 59.500 (55.265)	Prec@5 81.500 (84.005)
Epoch: [77][8880/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.7096 (1.6682)	Prec@1 53.500 (55.265)	Prec@5 84.500 (84.005)
Epoch: [77][8890/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.7706 (1.6682)	Prec@1 53.000 (55.265)	Prec@5 83.500 (84.005)
Epoch: [77][8900/9018]	Time 0.607 (0.623)	Data 0.002 (0.003)	Loss 1.5966 (1.6682)	Prec@1 58.000 (55.267)	Prec@5 84.000 (84.005)
Epoch: [77][8910/9018]	Time 0.710 (0.623)	Data 0.001 (0.003)	Loss 1.7760 (1.6681)	Prec@1 52.500 (55.268)	Prec@5 81.000 (84.007)
Epoch: [77][8920/9018]	Time 0.613 (0.623)	Data 0.001 (0.003)	Loss 1.6287 (1.6681)	Prec@1 58.000 (55.269)	Prec@5 85.500 (84.006)
Epoch: [77][8930/9018]	Time 0.616 (0.623)	Data 0.019 (0.003)	Loss 1.7308 (1.6681)	Prec@1 52.500 (55.270)	Prec@5 83.500 (84.006)
Epoch: [77][8940/9018]	Time 0.595 (0.623)	Data 0.003 (0.003)	Loss 1.8207 (1.6682)	Prec@1 56.000 (55.270)	Prec@5 82.000 (84.007)
Epoch: [77][8950/9018]	Time 0.596 (0.623)	Data 0.011 (0.003)	Loss 1.7571 (1.6682)	Prec@1 52.500 (55.267)	Prec@5 83.500 (84.007)
Epoch: [77][8960/9018]	Time 0.597 (0.623)	Data 0.001 (0.003)	Loss 1.8364 (1.6682)	Prec@1 53.000 (55.267)	Prec@5 82.000 (84.008)
Epoch: [77][8970/9018]	Time 0.594 (0.623)	Data 0.001 (0.003)	Loss 1.6235 (1.6682)	Prec@1 55.500 (55.267)	Prec@5 85.000 (84.008)
Epoch: [77][8980/9018]	Time 0.591 (0.623)	Data 0.001 (0.003)	Loss 1.6550 (1.6682)	Prec@1 53.000 (55.267)	Prec@5 84.500 (84.009)
Epoch: [77][8990/9018]	Time 0.600 (0.623)	Data 0.001 (0.003)	Loss 1.5714 (1.6681)	Prec@1 57.500 (55.267)	Prec@5 87.000 (84.009)
Epoch: [77][9000/9018]	Time 0.606 (0.623)	Data 0.001 (0.003)	Loss 1.7161 (1.6682)	Prec@1 49.500 (55.266)	Prec@5 84.500 (84.007)
Epoch: [77][9010/9018]	Time 0.603 (0.623)	Data 0.000 (0.003)	Loss 1.5214 (1.6682)	Prec@1 59.500 (55.265)	Prec@5 85.500 (84.007)
Test: [0/183]	Time 1.593 (1.593)	Loss 2.5655 (2.5655)	Prec@1 32.500 (32.500)	Prec@5 69.500 (69.500)
Test: [10/183]	Time 0.216 (0.345)	Loss 1.4888 (1.6100)	Prec@1 63.000 (57.136)	Prec@5 85.500 (85.591)
Test: [20/183]	Time 0.205 (0.277)	Loss 1.9064 (1.6073)	Prec@1 49.500 (57.119)	Prec@5 81.500 (85.500)
Test: [30/183]	Time 0.219 (0.253)	Loss 2.2118 (1.6156)	Prec@1 37.500 (56.258)	Prec@5 78.000 (85.823)
Test: [40/183]	Time 0.267 (0.241)	Loss 2.1878 (1.6184)	Prec@1 39.500 (56.841)	Prec@5 79.000 (85.378)
Test: [50/183]	Time 0.211 (0.235)	Loss 1.4397 (1.5845)	Prec@1 57.000 (57.529)	Prec@5 88.000 (85.843)
Test: [60/183]	Time 0.206 (0.230)	Loss 2.0773 (1.6518)	Prec@1 48.000 (55.443)	Prec@5 78.000 (85.057)
Test: [70/183]	Time 0.196 (0.226)	Loss 1.7555 (1.6368)	Prec@1 51.000 (55.725)	Prec@5 84.000 (85.338)
Test: [80/183]	Time 0.200 (0.225)	Loss 1.4311 (1.6242)	Prec@1 56.500 (55.796)	Prec@5 91.500 (85.525)
Test: [90/183]	Time 0.271 (0.223)	Loss 2.2297 (1.6256)	Prec@1 42.000 (55.846)	Prec@5 75.500 (85.610)
Test: [100/183]	Time 0.198 (0.221)	Loss 0.8004 (1.6260)	Prec@1 76.000 (55.822)	Prec@5 95.000 (85.668)
Test: [110/183]	Time 0.227 (0.220)	Loss 0.6781 (1.6299)	Prec@1 84.000 (55.748)	Prec@5 96.500 (85.604)
Test: [120/183]	Time 0.197 (0.218)	Loss 2.1025 (1.6375)	Prec@1 42.500 (55.492)	Prec@5 76.500 (85.570)
Test: [130/183]	Time 0.207 (0.217)	Loss 2.9678 (1.6462)	Prec@1 17.500 (55.221)	Prec@5 71.000 (85.599)
Test: [140/183]	Time 0.290 (0.217)	Loss 1.4985 (1.6353)	Prec@1 62.500 (55.564)	Prec@5 87.000 (85.745)
Test: [150/183]	Time 0.180 (0.215)	Loss 0.6014 (1.6353)	Prec@1 83.500 (55.619)	Prec@5 98.500 (85.762)
Test: [160/183]	Time 0.203 (0.216)	Loss 1.6692 (1.6320)	Prec@1 51.500 (55.795)	Prec@5 83.000 (85.786)
Test: [170/183]	Time 0.192 (0.214)	Loss 2.1953 (1.6477)	Prec@1 34.500 (55.386)	Prec@5 80.000 (85.573)
Test: [180/183]	Time 0.210 (0.214)	Loss 1.9157 (1.6566)	Prec@1 45.000 (55.213)	Prec@5 85.000 (85.431)
 * Prec@1 55.208 Prec@5 85.422
Epoch: [78][0/9018]	Time 2.826 (2.826)	Data 2.201 (2.201)	Loss 1.6870 (1.6870)	Prec@1 55.500 (55.500)	Prec@5 82.500 (82.500)
Epoch: [78][10/9018]	Time 0.618 (0.848)	Data 0.001 (0.206)	Loss 1.9236 (1.6910)	Prec@1 47.500 (53.773)	Prec@5 79.500 (83.409)
Epoch: [78][20/9018]	Time 0.619 (0.731)	Data 0.001 (0.108)	Loss 1.7207 (1.6511)	Prec@1 54.500 (55.952)	Prec@5 81.500 (83.833)
Epoch: [78][30/9018]	Time 0.602 (0.696)	Data 0.001 (0.074)	Loss 1.5651 (1.6344)	Prec@1 54.000 (56.565)	Prec@5 85.500 (84.306)
Epoch: [78][40/9018]	Time 0.615 (0.677)	Data 0.001 (0.057)	Loss 1.6490 (1.6492)	Prec@1 57.000 (56.000)	Prec@5 84.500 (84.110)
Epoch: [78][50/9018]	Time 0.608 (0.663)	Data 0.001 (0.046)	Loss 1.6909 (1.6502)	Prec@1 53.000 (55.902)	Prec@5 84.000 (84.186)
Epoch: [78][60/9018]	Time 0.607 (0.656)	Data 0.004 (0.039)	Loss 1.5130 (1.6559)	Prec@1 58.500 (55.730)	Prec@5 83.500 (83.934)
Epoch: [78][70/9018]	Time 0.603 (0.650)	Data 0.001 (0.033)	Loss 1.5629 (1.6545)	Prec@1 54.500 (55.690)	Prec@5 86.500 (83.958)
Epoch: [78][80/9018]	Time 0.655 (0.647)	Data 0.015 (0.030)	Loss 1.5215 (1.6593)	Prec@1 59.000 (55.488)	Prec@5 87.500 (83.994)
Epoch: [78][90/9018]	Time 0.621 (0.645)	Data 0.001 (0.027)	Loss 1.6509 (1.6587)	Prec@1 50.500 (55.368)	Prec@5 83.000 (84.033)
Epoch: [78][100/9018]	Time 0.598 (0.642)	Data 0.001 (0.024)	Loss 1.4459 (1.6598)	Prec@1 57.000 (55.401)	Prec@5 87.000 (83.970)
Epoch: [78][110/9018]	Time 0.608 (0.640)	Data 0.001 (0.022)	Loss 1.5589 (1.6551)	Prec@1 60.000 (55.446)	Prec@5 85.500 (84.023)
Epoch: [78][120/9018]	Time 0.592 (0.637)	Data 0.001 (0.021)	Loss 1.5950 (1.6552)	Prec@1 56.500 (55.450)	Prec@5 86.500 (84.070)
Epoch: [78][130/9018]	Time 0.599 (0.636)	Data 0.001 (0.019)	Loss 1.8470 (1.6610)	Prec@1 53.500 (55.324)	Prec@5 81.000 (83.985)
Epoch: [78][140/9018]	Time 0.640 (0.635)	Data 0.001 (0.018)	Loss 1.5577 (1.6596)	Prec@1 57.000 (55.326)	Prec@5 84.500 (83.982)
Epoch: [78][150/9018]	Time 0.608 (0.633)	Data 0.001 (0.017)	Loss 1.5680 (1.6603)	Prec@1 57.500 (55.202)	Prec@5 86.000 (83.993)
Epoch: [78][160/9018]	Time 0.607 (0.633)	Data 0.003 (0.016)	Loss 1.6174 (1.6604)	Prec@1 52.500 (55.227)	Prec@5 83.000 (83.978)
Epoch: [78][170/9018]	Time 0.615 (0.632)	Data 0.001 (0.015)	Loss 1.9053 (1.6622)	Prec@1 44.500 (55.211)	Prec@5 83.500 (83.950)
Epoch: [78][180/9018]	Time 0.599 (0.631)	Data 0.001 (0.014)	Loss 1.6362 (1.6628)	Prec@1 55.500 (55.174)	Prec@5 87.000 (84.003)
Epoch: [78][190/9018]	Time 0.617 (0.632)	Data 0.001 (0.014)	Loss 1.7921 (1.6654)	Prec@1 54.500 (55.099)	Prec@5 78.000 (83.945)
Epoch: [78][200/9018]	Time 0.607 (0.630)	Data 0.001 (0.013)	Loss 1.5928 (1.6645)	Prec@1 54.500 (55.080)	Prec@5 84.500 (83.985)
Epoch: [78][210/9018]	Time 0.601 (0.630)	Data 0.001 (0.013)	Loss 1.6741 (1.6670)	Prec@1 54.500 (55.019)	Prec@5 84.000 (83.955)
Epoch: [78][220/9018]	Time 0.624 (0.629)	Data 0.001 (0.013)	Loss 1.7480 (1.6661)	Prec@1 50.500 (55.038)	Prec@5 82.500 (83.982)
Epoch: [78][230/9018]	Time 0.605 (0.630)	Data 0.001 (0.012)	Loss 1.5094 (1.6662)	Prec@1 62.500 (55.078)	Prec@5 85.000 (83.944)
Epoch: [78][240/9018]	Time 0.611 (0.630)	Data 0.001 (0.012)	Loss 1.7124 (1.6633)	Prec@1 55.000 (55.166)	Prec@5 83.000 (84.000)
Epoch: [78][250/9018]	Time 0.621 (0.629)	Data 0.001 (0.011)	Loss 1.6463 (1.6602)	Prec@1 56.000 (55.257)	Prec@5 84.000 (84.062)
Epoch: [78][260/9018]	Time 0.611 (0.629)	Data 0.001 (0.011)	Loss 1.6589 (1.6598)	Prec@1 55.500 (55.280)	Prec@5 83.500 (84.077)
Epoch: [78][270/9018]	Time 0.772 (0.629)	Data 0.001 (0.011)	Loss 1.6159 (1.6581)	Prec@1 58.500 (55.351)	Prec@5 83.500 (84.118)
Epoch: [78][280/9018]	Time 0.634 (0.629)	Data 0.013 (0.010)	Loss 1.7419 (1.6567)	Prec@1 50.500 (55.356)	Prec@5 82.500 (84.144)
Epoch: [78][290/9018]	Time 0.592 (0.628)	Data 0.001 (0.010)	Loss 1.6331 (1.6567)	Prec@1 57.500 (55.345)	Prec@5 85.500 (84.189)
Epoch: [78][300/9018]	Time 0.605 (0.628)	Data 0.001 (0.010)	Loss 1.5517 (1.6558)	Prec@1 56.500 (55.352)	Prec@5 86.000 (84.199)
Epoch: [78][310/9018]	Time 0.592 (0.628)	Data 0.001 (0.010)	Loss 1.7074 (1.6567)	Prec@1 56.500 (55.354)	Prec@5 84.000 (84.190)
Epoch: [78][320/9018]	Time 0.788 (0.628)	Data 0.001 (0.009)	Loss 1.6048 (1.6555)	Prec@1 55.500 (55.382)	Prec@5 84.000 (84.209)
Epoch: [78][330/9018]	Time 0.604 (0.628)	Data 0.001 (0.009)	Loss 1.7696 (1.6559)	Prec@1 50.000 (55.372)	Prec@5 83.500 (84.246)
Epoch: [78][340/9018]	Time 0.618 (0.627)	Data 0.001 (0.009)	Loss 1.6116 (1.6551)	Prec@1 55.000 (55.390)	Prec@5 84.500 (84.255)
Epoch: [78][350/9018]	Time 0.603 (0.627)	Data 0.015 (0.009)	Loss 1.4954 (1.6554)	Prec@1 60.000 (55.380)	Prec@5 86.000 (84.283)
Epoch: [78][360/9018]	Time 0.602 (0.627)	Data 0.001 (0.009)	Loss 1.5816 (1.6551)	Prec@1 57.500 (55.391)	Prec@5 86.500 (84.267)
Epoch: [78][370/9018]	Time 0.619 (0.627)	Data 0.001 (0.009)	Loss 1.7641 (1.6543)	Prec@1 50.000 (55.392)	Prec@5 85.000 (84.275)
Epoch: [78][380/9018]	Time 0.612 (0.626)	Data 0.001 (0.008)	Loss 1.6845 (1.6543)	Prec@1 52.500 (55.379)	Prec@5 84.000 (84.303)
Epoch: [78][390/9018]	Time 0.611 (0.626)	Data 0.001 (0.008)	Loss 1.8572 (1.6557)	Prec@1 50.500 (55.341)	Prec@5 81.000 (84.286)
Epoch: [78][400/9018]	Time 0.608 (0.626)	Data 0.010 (0.008)	Loss 1.7158 (1.6545)	Prec@1 52.500 (55.372)	Prec@5 83.500 (84.327)
Epoch: [78][410/9018]	Time 0.618 (0.626)	Data 0.002 (0.008)	Loss 1.4831 (1.6551)	Prec@1 59.500 (55.349)	Prec@5 88.000 (84.302)
Epoch: [78][420/9018]	Time 0.594 (0.626)	Data 0.001 (0.008)	Loss 1.6116 (1.6559)	Prec@1 58.500 (55.314)	Prec@5 83.500 (84.297)
Epoch: [78][430/9018]	Time 0.628 (0.626)	Data 0.001 (0.008)	Loss 1.5679 (1.6558)	Prec@1 57.500 (55.325)	Prec@5 83.000 (84.288)
Epoch: [78][440/9018]	Time 0.595 (0.626)	Data 0.001 (0.007)	Loss 1.5703 (1.6550)	Prec@1 63.500 (55.358)	Prec@5 83.500 (84.298)
Epoch: [78][450/9018]	Time 0.603 (0.625)	Data 0.001 (0.007)	Loss 1.7874 (1.6551)	Prec@1 55.000 (55.355)	Prec@5 81.500 (84.285)
Epoch: [78][460/9018]	Time 0.627 (0.625)	Data 0.015 (0.007)	Loss 1.6413 (1.6558)	Prec@1 55.000 (55.334)	Prec@5 83.500 (84.273)
Epoch: [78][470/9018]	Time 0.606 (0.625)	Data 0.001 (0.007)	Loss 1.6179 (1.6553)	Prec@1 59.500 (55.332)	Prec@5 84.000 (84.279)
Epoch: [78][480/9018]	Time 0.623 (0.625)	Data 0.001 (0.007)	Loss 1.7279 (1.6561)	Prec@1 53.000 (55.327)	Prec@5 82.500 (84.258)
Epoch: [78][490/9018]	Time 0.639 (0.625)	Data 0.001 (0.007)	Loss 1.4166 (1.6552)	Prec@1 60.000 (55.369)	Prec@5 87.000 (84.281)
Epoch: [78][500/9018]	Time 0.615 (0.625)	Data 0.001 (0.007)	Loss 1.6553 (1.6548)	Prec@1 60.500 (55.397)	Prec@5 85.000 (84.300)
Epoch: [78][510/9018]	Time 0.650 (0.625)	Data 0.016 (0.007)	Loss 1.6769 (1.6552)	Prec@1 51.000 (55.402)	Prec@5 87.000 (84.301)
Epoch: [78][520/9018]	Time 0.607 (0.625)	Data 0.001 (0.007)	Loss 1.5546 (1.6558)	Prec@1 62.500 (55.392)	Prec@5 83.500 (84.283)
Epoch: [78][530/9018]	Time 0.644 (0.625)	Data 0.023 (0.007)	Loss 1.5925 (1.6556)	Prec@1 58.000 (55.411)	Prec@5 84.500 (84.269)
Epoch: [78][540/9018]	Time 0.616 (0.625)	Data 0.001 (0.007)	Loss 1.7365 (1.6546)	Prec@1 53.500 (55.442)	Prec@5 84.000 (84.289)
Epoch: [78][550/9018]	Time 0.593 (0.625)	Data 0.001 (0.006)	Loss 1.7403 (1.6540)	Prec@1 51.000 (55.470)	Prec@5 82.500 (84.290)
Epoch: [78][560/9018]	Time 0.619 (0.625)	Data 0.001 (0.006)	Loss 1.6329 (1.6546)	Prec@1 55.500 (55.491)	Prec@5 84.000 (84.274)
Epoch: [78][570/9018]	Time 0.609 (0.625)	Data 0.001 (0.006)	Loss 1.5820 (1.6542)	Prec@1 56.000 (55.514)	Prec@5 84.500 (84.270)
Epoch: [78][580/9018]	Time 0.602 (0.625)	Data 0.001 (0.006)	Loss 1.6568 (1.6546)	Prec@1 58.500 (55.519)	Prec@5 83.500 (84.269)
Epoch: [78][590/9018]	Time 0.621 (0.625)	Data 0.001 (0.006)	Loss 1.8000 (1.6548)	Prec@1 51.500 (55.501)	Prec@5 81.500 (84.269)
Epoch: [78][600/9018]	Time 0.774 (0.625)	Data 0.001 (0.006)	Loss 1.4786 (1.6548)	Prec@1 60.500 (55.512)	Prec@5 86.500 (84.267)
Epoch: [78][610/9018]	Time 0.600 (0.624)	Data 0.001 (0.006)	Loss 1.7018 (1.6545)	Prec@1 56.000 (55.514)	Prec@5 84.500 (84.277)
Epoch: [78][620/9018]	Time 0.617 (0.624)	Data 0.001 (0.006)	Loss 1.6597 (1.6547)	Prec@1 59.500 (55.511)	Prec@5 83.000 (84.271)
Epoch: [78][630/9018]	Time 0.595 (0.624)	Data 0.001 (0.006)	Loss 1.6943 (1.6549)	Prec@1 53.000 (55.506)	Prec@5 80.000 (84.262)
Epoch: [78][640/9018]	Time 0.612 (0.624)	Data 0.001 (0.006)	Loss 1.5826 (1.6538)	Prec@1 58.000 (55.543)	Prec@5 88.000 (84.287)
Epoch: [78][650/9018]	Time 0.723 (0.624)	Data 0.001 (0.006)	Loss 1.7405 (1.6535)	Prec@1 51.500 (55.547)	Prec@5 81.500 (84.294)
Epoch: [78][660/9018]	Time 0.597 (0.624)	Data 0.001 (0.006)	Loss 1.6385 (1.6526)	Prec@1 52.000 (55.570)	Prec@5 86.000 (84.322)
Epoch: [78][670/9018]	Time 0.632 (0.624)	Data 0.001 (0.006)	Loss 1.5524 (1.6522)	Prec@1 60.000 (55.598)	Prec@5 88.000 (84.320)
Epoch: [78][680/9018]	Time 0.614 (0.624)	Data 0.001 (0.006)	Loss 1.7581 (1.6526)	Prec@1 54.000 (55.604)	Prec@5 83.500 (84.313)
Epoch: [78][690/9018]	Time 0.594 (0.624)	Data 0.001 (0.006)	Loss 1.4823 (1.6532)	Prec@1 60.500 (55.580)	Prec@5 86.000 (84.308)
Epoch: [78][700/9018]	Time 0.604 (0.624)	Data 0.001 (0.006)	Loss 1.5056 (1.6535)	Prec@1 60.000 (55.572)	Prec@5 88.500 (84.304)
Epoch: [78][710/9018]	Time 0.605 (0.624)	Data 0.001 (0.006)	Loss 1.4095 (1.6531)	Prec@1 61.000 (55.574)	Prec@5 91.500 (84.316)
Epoch: [78][720/9018]	Time 0.630 (0.624)	Data 0.001 (0.005)	Loss 1.3660 (1.6534)	Prec@1 67.500 (55.578)	Prec@5 87.500 (84.316)
Epoch: [78][730/9018]	Time 0.601 (0.623)	Data 0.001 (0.005)	Loss 1.5125 (1.6535)	Prec@1 58.000 (55.585)	Prec@5 87.000 (84.302)
Epoch: [78][740/9018]	Time 0.622 (0.623)	Data 0.001 (0.005)	Loss 1.6570 (1.6538)	Prec@1 53.000 (55.577)	Prec@5 85.500 (84.300)
Epoch: [78][750/9018]	Time 0.623 (0.623)	Data 0.001 (0.005)	Loss 1.7410 (1.6536)	Prec@1 54.500 (55.593)	Prec@5 84.000 (84.309)
Epoch: [78][760/9018]	Time 0.618 (0.623)	Data 0.001 (0.005)	Loss 1.4999 (1.6535)	Prec@1 55.000 (55.579)	Prec@5 87.500 (84.311)
Epoch: [78][770/9018]	Time 0.607 (0.623)	Data 0.001 (0.005)	Loss 1.6926 (1.6533)	Prec@1 49.000 (55.578)	Prec@5 84.500 (84.310)
Epoch: [78][780/9018]	Time 0.614 (0.623)	Data 0.001 (0.005)	Loss 1.7809 (1.6533)	Prec@1 50.000 (55.583)	Prec@5 80.000 (84.298)
Epoch: [78][790/9018]	Time 0.614 (0.623)	Data 0.001 (0.005)	Loss 1.5352 (1.6537)	Prec@1 60.000 (55.567)	Prec@5 88.500 (84.288)
Epoch: [78][800/9018]	Time 0.619 (0.623)	Data 0.015 (0.005)	Loss 1.4398 (1.6534)	Prec@1 61.500 (55.584)	Prec@5 90.000 (84.289)
Epoch: [78][810/9018]	Time 0.610 (0.623)	Data 0.001 (0.005)	Loss 1.6113 (1.6540)	Prec@1 55.000 (55.562)	Prec@5 87.000 (84.277)
Epoch: [78][820/9018]	Time 0.602 (0.623)	Data 0.001 (0.005)	Loss 1.7514 (1.6536)	Prec@1 53.000 (55.575)	Prec@5 81.000 (84.280)
Epoch: [78][830/9018]	Time 0.627 (0.623)	Data 0.001 (0.005)	Loss 1.5953 (1.6531)	Prec@1 56.000 (55.579)	Prec@5 85.000 (84.289)
Epoch: [78][840/9018]	Time 0.614 (0.623)	Data 0.001 (0.005)	Loss 1.6935 (1.6530)	Prec@1 52.000 (55.570)	Prec@5 82.000 (84.288)
Epoch: [78][850/9018]	Time 0.629 (0.623)	Data 0.001 (0.005)	Loss 1.5916 (1.6535)	Prec@1 59.500 (55.554)	Prec@5 83.500 (84.284)
Epoch: [78][860/9018]	Time 0.615 (0.623)	Data 0.004 (0.005)	Loss 1.5972 (1.6533)	Prec@1 55.500 (55.556)	Prec@5 83.500 (84.274)
Epoch: [78][870/9018]	Time 0.619 (0.623)	Data 0.001 (0.005)	Loss 1.6448 (1.6534)	Prec@1 56.000 (55.541)	Prec@5 81.000 (84.276)
Epoch: [78][880/9018]	Time 0.630 (0.623)	Data 0.001 (0.005)	Loss 1.6343 (1.6538)	Prec@1 58.000 (55.536)	Prec@5 83.000 (84.270)
Epoch: [78][890/9018]	Time 0.629 (0.623)	Data 0.001 (0.005)	Loss 1.5468 (1.6535)	Prec@1 54.000 (55.542)	Prec@5 88.500 (84.275)
Epoch: [78][900/9018]	Time 0.625 (0.623)	Data 0.016 (0.005)	Loss 1.5799 (1.6533)	Prec@1 58.000 (55.546)	Prec@5 83.500 (84.275)
Epoch: [78][910/9018]	Time 0.599 (0.623)	Data 0.001 (0.005)	Loss 1.4941 (1.6535)	Prec@1 56.500 (55.558)	Prec@5 85.500 (84.266)
Epoch: [78][920/9018]	Time 0.606 (0.623)	Data 0.001 (0.005)	Loss 1.6749 (1.6536)	Prec@1 56.500 (55.547)	Prec@5 85.000 (84.259)
Epoch: [78][930/9018]	Time 0.750 (0.623)	Data 0.002 (0.005)	Loss 1.6051 (1.6532)	Prec@1 50.000 (55.546)	Prec@5 84.500 (84.251)
Epoch: [78][940/9018]	Time 0.615 (0.623)	Data 0.014 (0.005)	Loss 1.5309 (1.6528)	Prec@1 60.500 (55.563)	Prec@5 86.000 (84.254)
Epoch: [78][950/9018]	Time 0.627 (0.623)	Data 0.001 (0.005)	Loss 1.7066 (1.6528)	Prec@1 53.500 (55.565)	Prec@5 82.500 (84.245)
Epoch: [78][960/9018]	Time 0.627 (0.623)	Data 0.001 (0.005)	Loss 1.6240 (1.6527)	Prec@1 58.500 (55.574)	Prec@5 83.500 (84.249)
Epoch: [78][970/9018]	Time 0.618 (0.623)	Data 0.001 (0.005)	Loss 1.6927 (1.6529)	Prec@1 55.000 (55.572)	Prec@5 81.000 (84.254)
Epoch: [78][980/9018]	Time 0.794 (0.623)	Data 0.001 (0.005)	Loss 1.7669 (1.6528)	Prec@1 51.000 (55.584)	Prec@5 83.000 (84.253)
Epoch: [78][990/9018]	Time 0.589 (0.623)	Data 0.001 (0.005)	Loss 1.5399 (1.6525)	Prec@1 57.500 (55.590)	Prec@5 90.000 (84.265)
Epoch: [78][1000/9018]	Time 0.610 (0.623)	Data 0.001 (0.005)	Loss 1.8705 (1.6528)	Prec@1 49.500 (55.589)	Prec@5 79.500 (84.258)
Epoch: [78][1010/9018]	Time 0.612 (0.623)	Data 0.001 (0.005)	Loss 1.5188 (1.6520)	Prec@1 57.000 (55.593)	Prec@5 87.500 (84.273)
Epoch: [78][1020/9018]	Time 0.593 (0.623)	Data 0.001 (0.005)	Loss 1.7926 (1.6523)	Prec@1 54.500 (55.573)	Prec@5 83.000 (84.277)
Epoch: [78][1030/9018]	Time 0.596 (0.623)	Data 0.001 (0.004)	Loss 1.6928 (1.6527)	Prec@1 54.500 (55.561)	Prec@5 83.000 (84.270)
Epoch: [78][1040/9018]	Time 0.623 (0.623)	Data 0.004 (0.004)	Loss 1.6071 (1.6526)	Prec@1 60.000 (55.557)	Prec@5 85.500 (84.281)
Epoch: [78][1050/9018]	Time 0.595 (0.623)	Data 0.001 (0.004)	Loss 1.6005 (1.6532)	Prec@1 57.000 (55.549)	Prec@5 85.000 (84.265)
Epoch: [78][1060/9018]	Time 0.626 (0.623)	Data 0.001 (0.004)	Loss 1.4861 (1.6532)	Prec@1 62.000 (55.555)	Prec@5 86.500 (84.268)
Epoch: [78][1070/9018]	Time 0.604 (0.623)	Data 0.001 (0.004)	Loss 1.5914 (1.6535)	Prec@1 58.500 (55.544)	Prec@5 86.000 (84.267)
Epoch: [78][1080/9018]	Time 0.631 (0.623)	Data 0.006 (0.004)	Loss 1.7672 (1.6537)	Prec@1 52.000 (55.537)	Prec@5 81.000 (84.265)
Epoch: [78][1090/9018]	Time 0.595 (0.623)	Data 0.001 (0.004)	Loss 1.5829 (1.6539)	Prec@1 57.000 (55.540)	Prec@5 83.500 (84.258)
Epoch: [78][1100/9018]	Time 0.611 (0.623)	Data 0.001 (0.004)	Loss 1.9471 (1.6543)	Prec@1 49.500 (55.526)	Prec@5 82.500 (84.255)
Epoch: [78][1110/9018]	Time 0.603 (0.623)	Data 0.001 (0.004)	Loss 1.5163 (1.6544)	Prec@1 57.500 (55.523)	Prec@5 86.000 (84.249)
Epoch: [78][1120/9018]	Time 0.597 (0.623)	Data 0.001 (0.004)	Loss 1.4772 (1.6547)	Prec@1 59.500 (55.517)	Prec@5 83.500 (84.241)
Epoch: [78][1130/9018]	Time 0.606 (0.623)	Data 0.001 (0.004)	Loss 2.1230 (1.6547)	Prec@1 49.000 (55.527)	Prec@5 78.000 (84.242)
Epoch: [78][1140/9018]	Time 0.617 (0.623)	Data 0.001 (0.004)	Loss 1.4968 (1.6552)	Prec@1 59.000 (55.510)	Prec@5 88.000 (84.235)
Epoch: [78][1150/9018]	Time 0.594 (0.623)	Data 0.001 (0.004)	Loss 1.6623 (1.6553)	Prec@1 52.000 (55.503)	Prec@5 83.000 (84.230)
Epoch: [78][1160/9018]	Time 0.613 (0.623)	Data 0.001 (0.004)	Loss 1.7616 (1.6548)	Prec@1 52.500 (55.508)	Prec@5 85.000 (84.242)
Epoch: [78][1170/9018]	Time 0.625 (0.623)	Data 0.001 (0.004)	Loss 1.6182 (1.6546)	Prec@1 52.000 (55.512)	Prec@5 85.000 (84.248)
Epoch: [78][1180/9018]	Time 0.603 (0.623)	Data 0.001 (0.004)	Loss 1.7563 (1.6549)	Prec@1 57.500 (55.508)	Prec@5 81.500 (84.242)
Epoch: [78][1190/9018]	Time 0.635 (0.623)	Data 0.001 (0.004)	Loss 1.4777 (1.6542)	Prec@1 60.500 (55.528)	Prec@5 88.500 (84.251)
Epoch: [78][1200/9018]	Time 0.626 (0.623)	Data 0.014 (0.004)	Loss 1.7121 (1.6541)	Prec@1 52.000 (55.521)	Prec@5 80.500 (84.245)
Epoch: [78][1210/9018]	Time 0.591 (0.623)	Data 0.001 (0.004)	Loss 1.4539 (1.6541)	Prec@1 59.500 (55.521)	Prec@5 87.500 (84.248)
Epoch: [78][1220/9018]	Time 0.620 (0.623)	Data 0.014 (0.004)	Loss 1.7659 (1.6536)	Prec@1 54.000 (55.541)	Prec@5 81.000 (84.249)
Epoch: [78][1230/9018]	Time 0.602 (0.623)	Data 0.001 (0.004)	Loss 1.7486 (1.6536)	Prec@1 55.500 (55.539)	Prec@5 79.500 (84.245)
Epoch: [78][1240/9018]	Time 0.601 (0.623)	Data 0.001 (0.004)	Loss 1.3808 (1.6531)	Prec@1 62.000 (55.541)	Prec@5 89.000 (84.256)
Epoch: [78][1250/9018]	Time 0.635 (0.623)	Data 0.001 (0.004)	Loss 1.7714 (1.6533)	Prec@1 53.500 (55.536)	Prec@5 80.000 (84.251)
Epoch: [78][1260/9018]	Time 0.731 (0.623)	Data 0.011 (0.004)	Loss 1.6460 (1.6534)	Prec@1 59.500 (55.533)	Prec@5 86.000 (84.253)
Epoch: [78][1270/9018]	Time 0.630 (0.623)	Data 0.001 (0.004)	Loss 1.6394 (1.6534)	Prec@1 53.500 (55.536)	Prec@5 85.000 (84.256)
Epoch: [78][1280/9018]	Time 0.610 (0.623)	Data 0.015 (0.004)	Loss 1.6669 (1.6527)	Prec@1 57.500 (55.550)	Prec@5 82.500 (84.267)
Epoch: [78][1290/9018]	Time 0.610 (0.622)	Data 0.001 (0.004)	Loss 1.6150 (1.6525)	Prec@1 55.500 (55.556)	Prec@5 84.000 (84.263)
Epoch: [78][1300/9018]	Time 0.610 (0.622)	Data 0.001 (0.004)	Loss 1.5757 (1.6526)	Prec@1 58.500 (55.551)	Prec@5 85.000 (84.263)
Epoch: [78][1310/9018]	Time 0.783 (0.623)	Data 0.001 (0.004)	Loss 1.6039 (1.6525)	Prec@1 56.000 (55.558)	Prec@5 88.000 (84.274)
Epoch: [78][1320/9018]	Time 0.603 (0.622)	Data 0.001 (0.004)	Loss 1.6723 (1.6524)	Prec@1 58.000 (55.571)	Prec@5 84.500 (84.274)
Epoch: [78][1330/9018]	Time 0.602 (0.622)	Data 0.001 (0.004)	Loss 1.5071 (1.6524)	Prec@1 59.000 (55.568)	Prec@5 85.500 (84.286)
Epoch: [78][1340/9018]	Time 0.608 (0.622)	Data 0.001 (0.004)	Loss 1.8009 (1.6522)	Prec@1 55.000 (55.570)	Prec@5 80.000 (84.290)
Epoch: [78][1350/9018]	Time 0.619 (0.622)	Data 0.001 (0.004)	Loss 1.5906 (1.6519)	Prec@1 58.000 (55.580)	Prec@5 85.500 (84.296)
Epoch: [78][1360/9018]	Time 0.617 (0.622)	Data 0.001 (0.004)	Loss 1.4308 (1.6515)	Prec@1 59.000 (55.589)	Prec@5 88.000 (84.300)
Epoch: [78][1370/9018]	Time 0.605 (0.622)	Data 0.001 (0.004)	Loss 1.6226 (1.6516)	Prec@1 56.000 (55.584)	Prec@5 85.000 (84.302)
Epoch: [78][1380/9018]	Time 0.602 (0.622)	Data 0.002 (0.004)	Loss 1.4362 (1.6515)	Prec@1 63.000 (55.592)	Prec@5 88.000 (84.301)
Epoch: [78][1390/9018]	Time 0.593 (0.622)	Data 0.001 (0.004)	Loss 1.5655 (1.6513)	Prec@1 60.000 (55.594)	Prec@5 84.000 (84.304)
Epoch: [78][1400/9018]	Time 0.594 (0.622)	Data 0.001 (0.004)	Loss 1.7007 (1.6507)	Prec@1 51.500 (55.601)	Prec@5 83.500 (84.318)
Epoch: [78][1410/9018]	Time 0.605 (0.622)	Data 0.001 (0.004)	Loss 1.6458 (1.6508)	Prec@1 54.000 (55.595)	Prec@5 83.500 (84.318)
Epoch: [78][1420/9018]	Time 0.619 (0.622)	Data 0.001 (0.004)	Loss 1.4644 (1.6504)	Prec@1 61.500 (55.598)	Prec@5 85.500 (84.318)
Epoch: [78][1430/9018]	Time 0.622 (0.622)	Data 0.026 (0.004)	Loss 1.5138 (1.6501)	Prec@1 56.500 (55.609)	Prec@5 86.500 (84.317)
Epoch: [78][1440/9018]	Time 0.624 (0.622)	Data 0.001 (0.004)	Loss 1.6988 (1.6501)	Prec@1 55.500 (55.609)	Prec@5 84.500 (84.315)
Epoch: [78][1450/9018]	Time 0.595 (0.622)	Data 0.001 (0.004)	Loss 1.6308 (1.6503)	Prec@1 56.000 (55.600)	Prec@5 87.000 (84.312)
Epoch: [78][1460/9018]	Time 0.620 (0.622)	Data 0.006 (0.004)	Loss 1.7432 (1.6503)	Prec@1 55.000 (55.602)	Prec@5 81.500 (84.306)
Epoch: [78][1470/9018]	Time 0.606 (0.622)	Data 0.001 (0.004)	Loss 1.5900 (1.6504)	Prec@1 61.000 (55.604)	Prec@5 86.500 (84.307)
Epoch: [78][1480/9018]	Time 0.608 (0.622)	Data 0.007 (0.004)	Loss 1.4691 (1.6505)	Prec@1 61.500 (55.604)	Prec@5 86.000 (84.301)
Epoch: [78][1490/9018]	Time 0.617 (0.622)	Data 0.001 (0.004)	Loss 1.7432 (1.6507)	Prec@1 56.000 (55.605)	Prec@5 81.000 (84.292)
Epoch: [78][1500/9018]	Time 0.607 (0.622)	Data 0.001 (0.004)	Loss 1.8185 (1.6508)	Prec@1 52.000 (55.606)	Prec@5 79.500 (84.286)
Epoch: [78][1510/9018]	Time 0.593 (0.622)	Data 0.001 (0.004)	Loss 1.6484 (1.6508)	Prec@1 55.500 (55.609)	Prec@5 85.500 (84.280)
Epoch: [78][1520/9018]	Time 0.620 (0.622)	Data 0.001 (0.004)	Loss 1.5075 (1.6507)	Prec@1 59.000 (55.612)	Prec@5 85.500 (84.282)
Epoch: [78][1530/9018]	Time 0.628 (0.622)	Data 0.001 (0.004)	Loss 1.7426 (1.6507)	Prec@1 51.000 (55.611)	Prec@5 82.500 (84.282)
Epoch: [78][1540/9018]	Time 0.601 (0.622)	Data 0.001 (0.004)	Loss 1.6272 (1.6506)	Prec@1 54.000 (55.615)	Prec@5 85.500 (84.282)
Epoch: [78][1550/9018]	Time 0.597 (0.622)	Data 0.007 (0.004)	Loss 1.8495 (1.6508)	Prec@1 48.500 (55.609)	Prec@5 80.500 (84.276)
Epoch: [78][1560/9018]	Time 0.604 (0.622)	Data 0.001 (0.004)	Loss 1.7025 (1.6511)	Prec@1 55.500 (55.599)	Prec@5 86.000 (84.273)
Epoch: [78][1570/9018]	Time 0.622 (0.622)	Data 0.001 (0.004)	Loss 1.6956 (1.6512)	Prec@1 56.000 (55.592)	Prec@5 80.500 (84.270)
Epoch: [78][1580/9018]	Time 0.616 (0.622)	Data 0.001 (0.004)	Loss 1.6552 (1.6511)	Prec@1 53.500 (55.592)	Prec@5 84.500 (84.273)
Epoch: [78][1590/9018]	Time 0.722 (0.622)	Data 0.001 (0.004)	Loss 1.5707 (1.6510)	Prec@1 59.500 (55.595)	Prec@5 83.000 (84.272)
Epoch: [78][1600/9018]	Time 0.613 (0.622)	Data 0.001 (0.004)	Loss 1.5443 (1.6509)	Prec@1 64.000 (55.601)	Prec@5 86.000 (84.272)
Epoch: [78][1610/9018]	Time 0.632 (0.622)	Data 0.001 (0.004)	Loss 1.5708 (1.6512)	Prec@1 59.000 (55.603)	Prec@5 84.500 (84.266)
Epoch: [78][1620/9018]	Time 0.639 (0.622)	Data 0.001 (0.004)	Loss 1.7686 (1.6515)	Prec@1 54.500 (55.600)	Prec@5 80.500 (84.260)
Epoch: [78][1630/9018]	Time 0.632 (0.622)	Data 0.015 (0.004)	Loss 1.6671 (1.6520)	Prec@1 49.500 (55.587)	Prec@5 86.500 (84.254)
Epoch: [78][1640/9018]	Time 0.718 (0.622)	Data 0.001 (0.004)	Loss 1.4632 (1.6517)	Prec@1 59.500 (55.592)	Prec@5 85.000 (84.256)
Epoch: [78][1650/9018]	Time 0.625 (0.622)	Data 0.001 (0.004)	Loss 1.5990 (1.6515)	Prec@1 56.000 (55.591)	Prec@5 87.000 (84.260)
Epoch: [78][1660/9018]	Time 0.594 (0.622)	Data 0.001 (0.004)	Loss 1.5798 (1.6516)	Prec@1 58.500 (55.591)	Prec@5 84.500 (84.259)
Epoch: [78][1670/9018]	Time 0.619 (0.622)	Data 0.001 (0.004)	Loss 1.7155 (1.6517)	Prec@1 53.500 (55.586)	Prec@5 84.500 (84.259)
Epoch: [78][1680/9018]	Time 0.616 (0.622)	Data 0.001 (0.004)	Loss 1.4626 (1.6513)	Prec@1 60.000 (55.595)	Prec@5 86.500 (84.261)
Epoch: [78][1690/9018]	Time 0.605 (0.622)	Data 0.001 (0.004)	Loss 1.7673 (1.6517)	Prec@1 51.000 (55.583)	Prec@5 83.000 (84.253)
Epoch: [78][1700/9018]	Time 0.629 (0.622)	Data 0.001 (0.004)	Loss 1.6513 (1.6517)	Prec@1 58.000 (55.582)	Prec@5 84.500 (84.257)
Epoch: [78][1710/9018]	Time 0.611 (0.622)	Data 0.001 (0.004)	Loss 1.6875 (1.6514)	Prec@1 53.500 (55.582)	Prec@5 83.500 (84.264)
Epoch: [78][1720/9018]	Time 0.637 (0.622)	Data 0.001 (0.004)	Loss 1.6120 (1.6510)	Prec@1 54.000 (55.585)	Prec@5 80.000 (84.266)
Epoch: [78][1730/9018]	Time 0.620 (0.622)	Data 0.001 (0.004)	Loss 1.5343 (1.6507)	Prec@1 63.000 (55.587)	Prec@5 84.500 (84.272)
Epoch: [78][1740/9018]	Time 0.642 (0.622)	Data 0.001 (0.004)	Loss 1.6634 (1.6506)	Prec@1 53.500 (55.583)	Prec@5 83.500 (84.273)
Epoch: [78][1750/9018]	Time 0.616 (0.622)	Data 0.001 (0.004)	Loss 1.7353 (1.6509)	Prec@1 55.500 (55.579)	Prec@5 81.500 (84.270)
Epoch: [78][1760/9018]	Time 0.619 (0.622)	Data 0.001 (0.004)	Loss 1.5014 (1.6508)	Prec@1 59.000 (55.582)	Prec@5 87.500 (84.272)
Epoch: [78][1770/9018]	Time 0.606 (0.622)	Data 0.001 (0.004)	Loss 1.5309 (1.6507)	Prec@1 58.500 (55.585)	Prec@5 86.000 (84.274)
Epoch: [78][1780/9018]	Time 0.610 (0.622)	Data 0.001 (0.004)	Loss 1.7253 (1.6506)	Prec@1 58.500 (55.593)	Prec@5 80.000 (84.273)
Epoch: [78][1790/9018]	Time 0.604 (0.622)	Data 0.001 (0.004)	Loss 1.7396 (1.6506)	Prec@1 49.000 (55.584)	Prec@5 82.500 (84.277)
Epoch: [78][1800/9018]	Time 0.617 (0.622)	Data 0.001 (0.004)	Loss 1.9446 (1.6510)	Prec@1 46.500 (55.572)	Prec@5 82.000 (84.270)
Epoch: [78][1810/9018]	Time 0.599 (0.622)	Data 0.001 (0.004)	Loss 1.5386 (1.6511)	Prec@1 56.000 (55.570)	Prec@5 89.000 (84.266)
Epoch: [78][1820/9018]	Time 0.604 (0.622)	Data 0.001 (0.004)	Loss 1.5611 (1.6512)	Prec@1 52.500 (55.571)	Prec@5 90.500 (84.269)
Epoch: [78][1830/9018]	Time 0.619 (0.622)	Data 0.001 (0.004)	Loss 2.0263 (1.6516)	Prec@1 46.000 (55.569)	Prec@5 78.500 (84.261)
Epoch: [78][1840/9018]	Time 0.614 (0.622)	Data 0.001 (0.004)	Loss 1.7622 (1.6517)	Prec@1 56.000 (55.573)	Prec@5 82.000 (84.260)
Epoch: [78][1850/9018]	Time 0.617 (0.622)	Data 0.001 (0.004)	Loss 1.6275 (1.6516)	Prec@1 55.000 (55.576)	Prec@5 84.500 (84.260)
Epoch: [78][1860/9018]	Time 0.604 (0.622)	Data 0.001 (0.004)	Loss 1.7150 (1.6517)	Prec@1 50.000 (55.573)	Prec@5 84.500 (84.256)
Epoch: [78][1870/9018]	Time 0.646 (0.622)	Data 0.001 (0.004)	Loss 1.5324 (1.6517)	Prec@1 58.000 (55.570)	Prec@5 90.000 (84.253)
Epoch: [78][1880/9018]	Time 0.597 (0.622)	Data 0.001 (0.004)	Loss 1.7100 (1.6516)	Prec@1 53.000 (55.577)	Prec@5 84.000 (84.254)
Epoch: [78][1890/9018]	Time 0.606 (0.622)	Data 0.001 (0.004)	Loss 1.6673 (1.6519)	Prec@1 52.000 (55.568)	Prec@5 83.500 (84.251)
Epoch: [78][1900/9018]	Time 0.601 (0.622)	Data 0.001 (0.004)	Loss 1.7137 (1.6520)	Prec@1 55.500 (55.566)	Prec@5 82.000 (84.248)
Epoch: [78][1910/9018]	Time 0.598 (0.622)	Data 0.001 (0.004)	Loss 1.5595 (1.6520)	Prec@1 54.500 (55.569)	Prec@5 84.500 (84.245)
Epoch: [78][1920/9018]	Time 0.791 (0.622)	Data 0.001 (0.004)	Loss 1.6087 (1.6519)	Prec@1 59.500 (55.578)	Prec@5 86.000 (84.242)
Epoch: [78][1930/9018]	Time 0.612 (0.622)	Data 0.015 (0.004)	Loss 1.4660 (1.6521)	Prec@1 59.000 (55.570)	Prec@5 85.500 (84.238)
Epoch: [78][1940/9018]	Time 0.592 (0.622)	Data 0.001 (0.004)	Loss 1.6377 (1.6520)	Prec@1 52.000 (55.572)	Prec@5 87.000 (84.242)
Epoch: [78][1950/9018]	Time 0.620 (0.622)	Data 0.001 (0.004)	Loss 1.6656 (1.6523)	Prec@1 56.000 (55.563)	Prec@5 83.000 (84.239)
Epoch: [78][1960/9018]	Time 0.593 (0.622)	Data 0.001 (0.004)	Loss 1.4073 (1.6522)	Prec@1 64.500 (55.566)	Prec@5 87.500 (84.241)
Epoch: [78][1970/9018]	Time 0.764 (0.622)	Data 0.001 (0.004)	Loss 1.9301 (1.6521)	Prec@1 47.500 (55.572)	Prec@5 77.000 (84.240)
Epoch: [78][1980/9018]	Time 0.617 (0.622)	Data 0.001 (0.004)	Loss 1.7089 (1.6522)	Prec@1 53.500 (55.565)	Prec@5 83.000 (84.240)
Epoch: [78][1990/9018]	Time 0.627 (0.622)	Data 0.001 (0.004)	Loss 1.5908 (1.6526)	Prec@1 56.000 (55.563)	Prec@5 86.500 (84.234)
Epoch: [78][2000/9018]	Time 0.590 (0.622)	Data 0.001 (0.004)	Loss 1.8313 (1.6528)	Prec@1 46.500 (55.561)	Prec@5 82.500 (84.228)
Epoch: [78][2010/9018]	Time 0.613 (0.622)	Data 0.001 (0.004)	Loss 1.6122 (1.6529)	Prec@1 58.500 (55.562)	Prec@5 86.000 (84.230)
Epoch: [78][2020/9018]	Time 0.619 (0.622)	Data 0.016 (0.004)	Loss 1.5525 (1.6530)	Prec@1 53.000 (55.559)	Prec@5 89.000 (84.229)
Epoch: [78][2030/9018]	Time 0.608 (0.622)	Data 0.001 (0.004)	Loss 1.9077 (1.6530)	Prec@1 50.000 (55.552)	Prec@5 77.500 (84.228)
Epoch: [78][2040/9018]	Time 0.617 (0.622)	Data 0.001 (0.004)	Loss 1.5083 (1.6529)	Prec@1 58.500 (55.559)	Prec@5 84.500 (84.232)
Epoch: [78][2050/9018]	Time 0.616 (0.622)	Data 0.001 (0.004)	Loss 1.7762 (1.6530)	Prec@1 51.500 (55.551)	Prec@5 80.500 (84.228)
Epoch: [78][2060/9018]	Time 0.625 (0.622)	Data 0.001 (0.004)	Loss 1.4279 (1.6527)	Prec@1 61.500 (55.557)	Prec@5 89.000 (84.234)
Epoch: [78][2070/9018]	Time 0.633 (0.622)	Data 0.016 (0.004)	Loss 1.4411 (1.6526)	Prec@1 60.000 (55.563)	Prec@5 88.500 (84.236)
Epoch: [78][2080/9018]	Time 0.606 (0.622)	Data 0.001 (0.004)	Loss 1.7577 (1.6527)	Prec@1 49.500 (55.556)	Prec@5 83.500 (84.237)
Epoch: [78][2090/9018]	Time 0.623 (0.622)	Data 0.001 (0.004)	Loss 1.7426 (1.6526)	Prec@1 54.000 (55.558)	Prec@5 80.000 (84.240)
Epoch: [78][2100/9018]	Time 0.623 (0.622)	Data 0.001 (0.004)	Loss 1.6373 (1.6525)	Prec@1 53.500 (55.562)	Prec@5 87.000 (84.243)
Epoch: [78][2110/9018]	Time 0.604 (0.622)	Data 0.001 (0.004)	Loss 1.4745 (1.6525)	Prec@1 62.000 (55.566)	Prec@5 87.500 (84.243)
Epoch: [78][2120/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.8481 (1.6526)	Prec@1 49.000 (55.556)	Prec@5 83.500 (84.244)
Epoch: [78][2130/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.8162 (1.6525)	Prec@1 55.500 (55.563)	Prec@5 83.000 (84.243)
Epoch: [78][2140/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.9287 (1.6529)	Prec@1 53.000 (55.559)	Prec@5 79.000 (84.234)
Epoch: [78][2150/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.5146 (1.6529)	Prec@1 58.500 (55.563)	Prec@5 85.000 (84.234)
Epoch: [78][2160/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.6299 (1.6529)	Prec@1 58.500 (55.564)	Prec@5 82.000 (84.231)
Epoch: [78][2170/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7047 (1.6534)	Prec@1 50.500 (55.551)	Prec@5 84.000 (84.221)
Epoch: [78][2180/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.9336 (1.6538)	Prec@1 50.500 (55.548)	Prec@5 80.000 (84.212)
Epoch: [78][2190/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.6935 (1.6538)	Prec@1 52.500 (55.541)	Prec@5 85.500 (84.214)
Epoch: [78][2200/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.5434 (1.6537)	Prec@1 61.000 (55.541)	Prec@5 85.500 (84.216)
Epoch: [78][2210/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.5983 (1.6536)	Prec@1 55.500 (55.545)	Prec@5 85.500 (84.216)
Epoch: [78][2220/9018]	Time 0.602 (0.622)	Data 0.001 (0.003)	Loss 1.7439 (1.6534)	Prec@1 52.000 (55.554)	Prec@5 80.500 (84.217)
Epoch: [78][2230/9018]	Time 0.629 (0.622)	Data 0.001 (0.003)	Loss 1.7078 (1.6532)	Prec@1 60.000 (55.559)	Prec@5 82.500 (84.220)
Epoch: [78][2240/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.7934 (1.6534)	Prec@1 51.500 (55.557)	Prec@5 83.000 (84.218)
Epoch: [78][2250/9018]	Time 0.744 (0.622)	Data 0.001 (0.003)	Loss 1.6391 (1.6535)	Prec@1 55.500 (55.553)	Prec@5 84.000 (84.216)
Epoch: [78][2260/9018]	Time 0.601 (0.622)	Data 0.001 (0.003)	Loss 1.6397 (1.6535)	Prec@1 55.000 (55.555)	Prec@5 84.500 (84.217)
Epoch: [78][2270/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.5008 (1.6536)	Prec@1 56.500 (55.552)	Prec@5 83.000 (84.215)
Epoch: [78][2280/9018]	Time 0.621 (0.622)	Data 0.001 (0.003)	Loss 1.5239 (1.6534)	Prec@1 60.000 (55.559)	Prec@5 85.000 (84.218)
Epoch: [78][2290/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.6730 (1.6533)	Prec@1 54.000 (55.557)	Prec@5 84.500 (84.221)
Epoch: [78][2300/9018]	Time 0.738 (0.622)	Data 0.001 (0.003)	Loss 1.7811 (1.6531)	Prec@1 57.000 (55.558)	Prec@5 78.500 (84.227)
Epoch: [78][2310/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.6219 (1.6529)	Prec@1 58.500 (55.563)	Prec@5 84.500 (84.230)
Epoch: [78][2320/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.8227 (1.6528)	Prec@1 53.500 (55.568)	Prec@5 81.500 (84.228)
Epoch: [78][2330/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.6939 (1.6528)	Prec@1 54.500 (55.570)	Prec@5 80.500 (84.228)
Epoch: [78][2340/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.6352 (1.6530)	Prec@1 59.000 (55.571)	Prec@5 85.000 (84.223)
Epoch: [78][2350/9018]	Time 0.598 (0.622)	Data 0.016 (0.003)	Loss 1.5726 (1.6529)	Prec@1 61.500 (55.576)	Prec@5 87.500 (84.226)
Epoch: [78][2360/9018]	Time 0.639 (0.622)	Data 0.001 (0.003)	Loss 1.7449 (1.6529)	Prec@1 52.000 (55.573)	Prec@5 83.000 (84.228)
Epoch: [78][2370/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.5540 (1.6528)	Prec@1 57.500 (55.573)	Prec@5 84.500 (84.229)
Epoch: [78][2380/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.9886 (1.6531)	Prec@1 46.000 (55.566)	Prec@5 80.000 (84.228)
Epoch: [78][2390/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.7044 (1.6531)	Prec@1 55.500 (55.566)	Prec@5 83.000 (84.229)
Epoch: [78][2400/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.5977 (1.6528)	Prec@1 55.500 (55.568)	Prec@5 86.500 (84.234)
Epoch: [78][2410/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.6574 (1.6529)	Prec@1 57.000 (55.567)	Prec@5 83.000 (84.230)
Epoch: [78][2420/9018]	Time 0.627 (0.622)	Data 0.001 (0.003)	Loss 1.6317 (1.6528)	Prec@1 59.500 (55.571)	Prec@5 84.500 (84.227)
Epoch: [78][2430/9018]	Time 0.636 (0.622)	Data 0.001 (0.003)	Loss 1.5948 (1.6529)	Prec@1 52.000 (55.563)	Prec@5 85.000 (84.224)
Epoch: [78][2440/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.6079 (1.6527)	Prec@1 60.000 (55.575)	Prec@5 83.000 (84.226)
Epoch: [78][2450/9018]	Time 0.626 (0.622)	Data 0.001 (0.003)	Loss 1.8565 (1.6529)	Prec@1 49.000 (55.566)	Prec@5 81.000 (84.220)
Epoch: [78][2460/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.6478 (1.6530)	Prec@1 57.500 (55.563)	Prec@5 83.000 (84.213)
Epoch: [78][2470/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.6165 (1.6529)	Prec@1 52.500 (55.565)	Prec@5 85.500 (84.214)
Epoch: [78][2480/9018]	Time 0.617 (0.622)	Data 0.001 (0.003)	Loss 1.8225 (1.6532)	Prec@1 52.500 (55.561)	Prec@5 84.000 (84.212)
Epoch: [78][2490/9018]	Time 0.632 (0.622)	Data 0.016 (0.003)	Loss 1.5833 (1.6530)	Prec@1 56.000 (55.568)	Prec@5 86.500 (84.217)
Epoch: [78][2500/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.4428 (1.6529)	Prec@1 60.000 (55.566)	Prec@5 88.000 (84.214)
Epoch: [78][2510/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.8748 (1.6531)	Prec@1 50.500 (55.562)	Prec@5 76.500 (84.207)
Epoch: [78][2520/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.6748 (1.6532)	Prec@1 53.000 (55.560)	Prec@5 84.500 (84.206)
Epoch: [78][2530/9018]	Time 0.604 (0.622)	Data 0.014 (0.003)	Loss 1.5027 (1.6531)	Prec@1 59.000 (55.565)	Prec@5 86.500 (84.206)
Epoch: [78][2540/9018]	Time 0.613 (0.622)	Data 0.001 (0.003)	Loss 1.6416 (1.6528)	Prec@1 55.000 (55.570)	Prec@5 85.500 (84.213)
Epoch: [78][2550/9018]	Time 0.622 (0.622)	Data 0.001 (0.003)	Loss 1.6359 (1.6530)	Prec@1 55.500 (55.567)	Prec@5 84.000 (84.211)
Epoch: [78][2560/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7221 (1.6531)	Prec@1 53.000 (55.563)	Prec@5 86.000 (84.210)
Epoch: [78][2570/9018]	Time 0.590 (0.622)	Data 0.001 (0.003)	Loss 1.5603 (1.6531)	Prec@1 58.500 (55.559)	Prec@5 84.500 (84.214)
Epoch: [78][2580/9018]	Time 0.762 (0.622)	Data 0.001 (0.003)	Loss 1.7236 (1.6531)	Prec@1 52.500 (55.558)	Prec@5 85.000 (84.216)
Epoch: [78][2590/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.7143 (1.6535)	Prec@1 52.500 (55.548)	Prec@5 83.000 (84.208)
Epoch: [78][2600/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.7454 (1.6537)	Prec@1 57.000 (55.546)	Prec@5 81.000 (84.205)
Epoch: [78][2610/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.5257 (1.6537)	Prec@1 59.000 (55.546)	Prec@5 85.500 (84.204)
Epoch: [78][2620/9018]	Time 0.623 (0.622)	Data 0.015 (0.003)	Loss 1.7263 (1.6538)	Prec@1 54.500 (55.543)	Prec@5 82.000 (84.207)
Epoch: [78][2630/9018]	Time 0.707 (0.622)	Data 0.001 (0.003)	Loss 1.9730 (1.6538)	Prec@1 50.500 (55.536)	Prec@5 79.000 (84.208)
Epoch: [78][2640/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.6461 (1.6539)	Prec@1 58.000 (55.533)	Prec@5 85.500 (84.211)
Epoch: [78][2650/9018]	Time 0.628 (0.622)	Data 0.009 (0.003)	Loss 1.7779 (1.6542)	Prec@1 52.000 (55.524)	Prec@5 83.000 (84.204)
Epoch: [78][2660/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.5365 (1.6542)	Prec@1 56.000 (55.526)	Prec@5 85.000 (84.203)
Epoch: [78][2670/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.5866 (1.6541)	Prec@1 59.500 (55.532)	Prec@5 82.500 (84.204)
Epoch: [78][2680/9018]	Time 0.606 (0.622)	Data 0.001 (0.003)	Loss 1.7549 (1.6541)	Prec@1 54.500 (55.532)	Prec@5 79.000 (84.202)
Epoch: [78][2690/9018]	Time 0.612 (0.622)	Data 0.016 (0.003)	Loss 1.7546 (1.6543)	Prec@1 56.500 (55.529)	Prec@5 83.500 (84.201)
Epoch: [78][2700/9018]	Time 0.588 (0.622)	Data 0.001 (0.003)	Loss 1.7170 (1.6542)	Prec@1 55.500 (55.528)	Prec@5 84.500 (84.202)
Epoch: [78][2710/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.6353 (1.6542)	Prec@1 54.500 (55.527)	Prec@5 84.500 (84.201)
Epoch: [78][2720/9018]	Time 0.641 (0.622)	Data 0.001 (0.003)	Loss 1.6910 (1.6543)	Prec@1 56.500 (55.518)	Prec@5 82.000 (84.203)
Epoch: [78][2730/9018]	Time 0.632 (0.622)	Data 0.003 (0.003)	Loss 1.8010 (1.6546)	Prec@1 52.500 (55.515)	Prec@5 83.000 (84.200)
Epoch: [78][2740/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.6401 (1.6544)	Prec@1 54.500 (55.514)	Prec@5 85.000 (84.202)
Epoch: [78][2750/9018]	Time 0.615 (0.622)	Data 0.001 (0.003)	Loss 1.5601 (1.6543)	Prec@1 59.500 (55.518)	Prec@5 86.000 (84.203)
Epoch: [78][2760/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.6847 (1.6546)	Prec@1 51.500 (55.509)	Prec@5 82.500 (84.200)
Epoch: [78][2770/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.6905 (1.6546)	Prec@1 56.500 (55.502)	Prec@5 84.500 (84.200)
Epoch: [78][2780/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.5316 (1.6545)	Prec@1 58.000 (55.501)	Prec@5 87.000 (84.203)
Epoch: [78][2790/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.6717 (1.6546)	Prec@1 54.000 (55.498)	Prec@5 86.500 (84.203)
Epoch: [78][2800/9018]	Time 0.593 (0.622)	Data 0.001 (0.003)	Loss 1.7963 (1.6543)	Prec@1 50.000 (55.503)	Prec@5 83.000 (84.207)
Epoch: [78][2810/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.6007 (1.6544)	Prec@1 59.000 (55.503)	Prec@5 87.000 (84.206)
Epoch: [78][2820/9018]	Time 0.603 (0.622)	Data 0.001 (0.003)	Loss 1.7194 (1.6543)	Prec@1 54.000 (55.509)	Prec@5 83.000 (84.207)
Epoch: [78][2830/9018]	Time 0.600 (0.622)	Data 0.012 (0.003)	Loss 1.6242 (1.6543)	Prec@1 56.500 (55.510)	Prec@5 84.500 (84.207)
Epoch: [78][2840/9018]	Time 0.610 (0.622)	Data 0.001 (0.003)	Loss 1.8180 (1.6543)	Prec@1 58.000 (55.511)	Prec@5 79.500 (84.205)
Epoch: [78][2850/9018]	Time 0.587 (0.622)	Data 0.001 (0.003)	Loss 1.5693 (1.6543)	Prec@1 58.500 (55.511)	Prec@5 87.000 (84.203)
Epoch: [78][2860/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.5979 (1.6542)	Prec@1 58.000 (55.517)	Prec@5 86.000 (84.206)
Epoch: [78][2870/9018]	Time 0.607 (0.622)	Data 0.005 (0.003)	Loss 1.7587 (1.6543)	Prec@1 53.000 (55.515)	Prec@5 83.000 (84.205)
Epoch: [78][2880/9018]	Time 0.594 (0.622)	Data 0.001 (0.003)	Loss 1.6446 (1.6545)	Prec@1 52.500 (55.513)	Prec@5 84.500 (84.203)
Epoch: [78][2890/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.9220 (1.6546)	Prec@1 43.500 (55.506)	Prec@5 82.000 (84.204)
Epoch: [78][2900/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.5570 (1.6545)	Prec@1 55.500 (55.507)	Prec@5 86.500 (84.207)
Epoch: [78][2910/9018]	Time 0.746 (0.622)	Data 0.001 (0.003)	Loss 1.5574 (1.6544)	Prec@1 57.500 (55.510)	Prec@5 86.500 (84.210)
Epoch: [78][2920/9018]	Time 0.610 (0.622)	Data 0.014 (0.003)	Loss 1.7548 (1.6543)	Prec@1 52.500 (55.515)	Prec@5 83.500 (84.214)
Epoch: [78][2930/9018]	Time 0.619 (0.622)	Data 0.001 (0.003)	Loss 1.8316 (1.6544)	Prec@1 54.000 (55.508)	Prec@5 82.500 (84.212)
Epoch: [78][2940/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.7860 (1.6543)	Prec@1 51.500 (55.511)	Prec@5 83.000 (84.216)
Epoch: [78][2950/9018]	Time 0.607 (0.622)	Data 0.001 (0.003)	Loss 1.6596 (1.6545)	Prec@1 54.500 (55.502)	Prec@5 87.000 (84.212)
Epoch: [78][2960/9018]	Time 0.759 (0.622)	Data 0.001 (0.003)	Loss 1.6832 (1.6548)	Prec@1 55.500 (55.493)	Prec@5 84.000 (84.211)
Epoch: [78][2970/9018]	Time 0.589 (0.622)	Data 0.001 (0.003)	Loss 1.6105 (1.6547)	Prec@1 58.500 (55.498)	Prec@5 86.000 (84.214)
Epoch: [78][2980/9018]	Time 0.624 (0.622)	Data 0.001 (0.003)	Loss 1.6052 (1.6546)	Prec@1 52.500 (55.497)	Prec@5 85.000 (84.213)
Epoch: [78][2990/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.5760 (1.6546)	Prec@1 60.000 (55.497)	Prec@5 83.000 (84.210)
Epoch: [78][3000/9018]	Time 0.597 (0.622)	Data 0.001 (0.003)	Loss 1.6087 (1.6548)	Prec@1 55.500 (55.492)	Prec@5 83.500 (84.205)
Epoch: [78][3010/9018]	Time 0.630 (0.622)	Data 0.001 (0.003)	Loss 1.5934 (1.6549)	Prec@1 57.000 (55.489)	Prec@5 85.000 (84.203)
Epoch: [78][3020/9018]	Time 0.599 (0.622)	Data 0.015 (0.003)	Loss 1.6411 (1.6548)	Prec@1 57.000 (55.492)	Prec@5 81.000 (84.204)
Epoch: [78][3030/9018]	Time 0.596 (0.622)	Data 0.001 (0.003)	Loss 1.7507 (1.6548)	Prec@1 55.000 (55.494)	Prec@5 80.500 (84.202)
Epoch: [78][3040/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.6484 (1.6548)	Prec@1 58.000 (55.496)	Prec@5 81.500 (84.199)
Epoch: [78][3050/9018]	Time 0.595 (0.622)	Data 0.001 (0.003)	Loss 1.7203 (1.6551)	Prec@1 52.500 (55.490)	Prec@5 81.000 (84.195)
Epoch: [78][3060/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.5531 (1.6551)	Prec@1 56.000 (55.488)	Prec@5 84.500 (84.194)
Epoch: [78][3070/9018]	Time 0.614 (0.622)	Data 0.001 (0.003)	Loss 1.6721 (1.6551)	Prec@1 53.000 (55.489)	Prec@5 83.000 (84.190)
Epoch: [78][3080/9018]	Time 0.591 (0.622)	Data 0.001 (0.003)	Loss 1.6344 (1.6549)	Prec@1 55.000 (55.493)	Prec@5 80.500 (84.190)
Epoch: [78][3090/9018]	Time 0.598 (0.622)	Data 0.001 (0.003)	Loss 1.6344 (1.6548)	Prec@1 53.500 (55.499)	Prec@5 84.000 (84.192)
Epoch: [78][3100/9018]	Time 0.631 (0.622)	Data 0.001 (0.003)	Loss 1.5308 (1.6548)	Prec@1 60.500 (55.503)	Prec@5 84.500 (84.193)
Epoch: [78][3110/9018]	Time 0.606 (0.622)	Data 0.015 (0.003)	Loss 1.6901 (1.6546)	Prec@1 55.000 (55.506)	Prec@5 81.000 (84.193)
Epoch: [78][3120/9018]	Time 0.605 (0.622)	Data 0.001 (0.003)	Loss 1.5229 (1.6545)	Prec@1 58.500 (55.509)	Prec@5 86.000 (84.194)
Epoch: [78][3130/9018]	Time 0.604 (0.622)	Data 0.001 (0.003)	Loss 1.8200 (1.6547)	Prec@1 53.000 (55.508)	Prec@5 82.000 (84.191)
Epoch: [78][3140/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.5877 (1.6547)	Prec@1 53.500 (55.509)	Prec@5 89.000 (84.192)
Epoch: [78][3150/9018]	Time 0.628 (0.622)	Data 0.001 (0.003)	Loss 1.6247 (1.6548)	Prec@1 58.500 (55.504)	Prec@5 83.500 (84.189)
Epoch: [78][3160/9018]	Time 0.612 (0.621)	Data 0.001 (0.003)	Loss 1.8480 (1.6548)	Prec@1 54.000 (55.505)	Prec@5 80.500 (84.185)
Epoch: [78][3170/9018]	Time 0.641 (0.621)	Data 0.001 (0.003)	Loss 1.5578 (1.6548)	Prec@1 59.000 (55.507)	Prec@5 85.500 (84.188)
Epoch: [78][3180/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.8230 (1.6550)	Prec@1 52.500 (55.500)	Prec@5 80.500 (84.188)
Epoch: [78][3190/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.5815 (1.6550)	Prec@1 56.000 (55.499)	Prec@5 84.000 (84.191)
Epoch: [78][3200/9018]	Time 0.596 (0.621)	Data 0.001 (0.003)	Loss 1.5196 (1.6549)	Prec@1 56.500 (55.503)	Prec@5 84.500 (84.193)
Epoch: [78][3210/9018]	Time 0.623 (0.621)	Data 0.001 (0.003)	Loss 1.7639 (1.6549)	Prec@1 51.500 (55.505)	Prec@5 84.500 (84.194)
Epoch: [78][3220/9018]	Time 0.636 (0.621)	Data 0.001 (0.003)	Loss 1.7197 (1.6548)	Prec@1 52.000 (55.508)	Prec@5 85.000 (84.195)
Epoch: [78][3230/9018]	Time 0.593 (0.621)	Data 0.001 (0.003)	Loss 1.5687 (1.6548)	Prec@1 60.500 (55.508)	Prec@5 86.000 (84.194)
Epoch: [78][3240/9018]	Time 0.755 (0.621)	Data 0.001 (0.003)	Loss 1.6093 (1.6548)	Prec@1 56.500 (55.510)	Prec@5 81.500 (84.195)
Epoch: [78][3250/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.5277 (1.6546)	Prec@1 61.000 (55.509)	Prec@5 84.000 (84.196)
Epoch: [78][3260/9018]	Time 0.617 (0.621)	Data 0.014 (0.003)	Loss 1.6649 (1.6549)	Prec@1 56.000 (55.508)	Prec@5 83.000 (84.192)
Epoch: [78][3270/9018]	Time 0.624 (0.621)	Data 0.001 (0.003)	Loss 1.8099 (1.6548)	Prec@1 51.500 (55.511)	Prec@5 80.500 (84.192)
Epoch: [78][3280/9018]	Time 0.601 (0.621)	Data 0.001 (0.003)	Loss 1.4854 (1.6546)	Prec@1 58.000 (55.516)	Prec@5 88.000 (84.191)
Epoch: [78][3290/9018]	Time 0.732 (0.621)	Data 0.001 (0.003)	Loss 1.5668 (1.6548)	Prec@1 56.500 (55.510)	Prec@5 83.000 (84.189)
Epoch: [78][3300/9018]	Time 0.637 (0.621)	Data 0.001 (0.003)	Loss 1.8639 (1.6548)	Prec@1 50.500 (55.514)	Prec@5 83.500 (84.190)
Epoch: [78][3310/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.4317 (1.6547)	Prec@1 58.000 (55.518)	Prec@5 88.000 (84.191)
Epoch: [78][3320/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.6661 (1.6547)	Prec@1 57.000 (55.518)	Prec@5 80.500 (84.191)
Epoch: [78][3330/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.7202 (1.6546)	Prec@1 51.500 (55.517)	Prec@5 85.500 (84.192)
Epoch: [78][3340/9018]	Time 0.617 (0.621)	Data 0.001 (0.003)	Loss 1.5754 (1.6545)	Prec@1 56.500 (55.519)	Prec@5 86.000 (84.194)
Epoch: [78][3350/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.6968 (1.6544)	Prec@1 55.000 (55.522)	Prec@5 85.500 (84.195)
Epoch: [78][3360/9018]	Time 0.630 (0.621)	Data 0.001 (0.003)	Loss 1.6869 (1.6545)	Prec@1 53.500 (55.521)	Prec@5 81.500 (84.195)
Epoch: [78][3370/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.7875 (1.6543)	Prec@1 49.000 (55.525)	Prec@5 82.500 (84.197)
Epoch: [78][3380/9018]	Time 0.636 (0.621)	Data 0.001 (0.003)	Loss 1.4525 (1.6542)	Prec@1 60.000 (55.523)	Prec@5 87.500 (84.201)
Epoch: [78][3390/9018]	Time 0.598 (0.621)	Data 0.001 (0.003)	Loss 1.4579 (1.6541)	Prec@1 56.000 (55.526)	Prec@5 89.500 (84.204)
Epoch: [78][3400/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.6270 (1.6542)	Prec@1 56.500 (55.524)	Prec@5 82.000 (84.203)
Epoch: [78][3410/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.4788 (1.6543)	Prec@1 57.500 (55.523)	Prec@5 86.500 (84.199)
Epoch: [78][3420/9018]	Time 0.602 (0.621)	Data 0.001 (0.003)	Loss 1.7765 (1.6544)	Prec@1 55.500 (55.520)	Prec@5 80.500 (84.200)
Epoch: [78][3430/9018]	Time 0.633 (0.621)	Data 0.001 (0.003)	Loss 1.6367 (1.6544)	Prec@1 55.500 (55.521)	Prec@5 84.500 (84.197)
Epoch: [78][3440/9018]	Time 0.598 (0.621)	Data 0.001 (0.003)	Loss 1.5838 (1.6544)	Prec@1 55.500 (55.522)	Prec@5 86.500 (84.197)
Epoch: [78][3450/9018]	Time 0.612 (0.621)	Data 0.001 (0.003)	Loss 1.5735 (1.6543)	Prec@1 52.000 (55.518)	Prec@5 86.500 (84.200)
Epoch: [78][3460/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.7138 (1.6543)	Prec@1 52.500 (55.519)	Prec@5 84.500 (84.204)
Epoch: [78][3470/9018]	Time 0.624 (0.621)	Data 0.001 (0.003)	Loss 1.5183 (1.6542)	Prec@1 60.000 (55.517)	Prec@5 89.500 (84.209)
Epoch: [78][3480/9018]	Time 0.637 (0.621)	Data 0.001 (0.003)	Loss 1.6486 (1.6542)	Prec@1 60.500 (55.519)	Prec@5 86.000 (84.208)
Epoch: [78][3490/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.5004 (1.6542)	Prec@1 57.000 (55.521)	Prec@5 87.500 (84.209)
Epoch: [78][3500/9018]	Time 0.617 (0.621)	Data 0.001 (0.003)	Loss 1.5406 (1.6542)	Prec@1 58.000 (55.519)	Prec@5 84.500 (84.208)
Epoch: [78][3510/9018]	Time 0.600 (0.621)	Data 0.001 (0.003)	Loss 1.6692 (1.6542)	Prec@1 56.000 (55.516)	Prec@5 85.000 (84.209)
Epoch: [78][3520/9018]	Time 0.636 (0.621)	Data 0.001 (0.003)	Loss 1.6723 (1.6543)	Prec@1 57.500 (55.514)	Prec@5 83.000 (84.204)
Epoch: [78][3530/9018]	Time 0.597 (0.621)	Data 0.001 (0.003)	Loss 1.6981 (1.6542)	Prec@1 55.500 (55.520)	Prec@5 83.000 (84.206)
Epoch: [78][3540/9018]	Time 0.630 (0.621)	Data 0.001 (0.003)	Loss 1.6378 (1.6544)	Prec@1 55.500 (55.514)	Prec@5 86.000 (84.205)
Epoch: [78][3550/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.7490 (1.6545)	Prec@1 52.500 (55.511)	Prec@5 81.500 (84.203)
Epoch: [78][3560/9018]	Time 0.623 (0.621)	Data 0.001 (0.003)	Loss 1.6932 (1.6544)	Prec@1 56.500 (55.516)	Prec@5 79.500 (84.204)
Epoch: [78][3570/9018]	Time 0.742 (0.621)	Data 0.023 (0.003)	Loss 1.6221 (1.6543)	Prec@1 60.500 (55.516)	Prec@5 86.000 (84.204)
Epoch: [78][3580/9018]	Time 0.626 (0.621)	Data 0.015 (0.003)	Loss 1.6710 (1.6543)	Prec@1 58.500 (55.521)	Prec@5 83.500 (84.202)
Epoch: [78][3590/9018]	Time 0.596 (0.621)	Data 0.001 (0.003)	Loss 1.6878 (1.6540)	Prec@1 54.500 (55.529)	Prec@5 83.000 (84.207)
Epoch: [78][3600/9018]	Time 0.640 (0.621)	Data 0.016 (0.003)	Loss 1.7140 (1.6542)	Prec@1 60.000 (55.526)	Prec@5 85.500 (84.205)
Epoch: [78][3610/9018]	Time 0.595 (0.621)	Data 0.001 (0.003)	Loss 1.5926 (1.6544)	Prec@1 57.000 (55.523)	Prec@5 85.500 (84.201)
Epoch: [78][3620/9018]	Time 0.763 (0.621)	Data 0.001 (0.003)	Loss 1.4621 (1.6543)	Prec@1 64.500 (55.527)	Prec@5 89.000 (84.201)
Epoch: [78][3630/9018]	Time 0.629 (0.621)	Data 0.015 (0.003)	Loss 1.4110 (1.6543)	Prec@1 60.500 (55.526)	Prec@5 86.000 (84.199)
Epoch: [78][3640/9018]	Time 0.616 (0.621)	Data 0.001 (0.003)	Loss 1.7239 (1.6542)	Prec@1 53.000 (55.530)	Prec@5 83.500 (84.200)
Epoch: [78][3650/9018]	Time 0.633 (0.621)	Data 0.017 (0.003)	Loss 1.6364 (1.6541)	Prec@1 57.500 (55.533)	Prec@5 86.500 (84.202)
Epoch: [78][3660/9018]	Time 0.598 (0.621)	Data 0.001 (0.003)	Loss 1.8302 (1.6541)	Prec@1 52.000 (55.532)	Prec@5 81.500 (84.205)
Epoch: [78][3670/9018]	Time 0.614 (0.621)	Data 0.001 (0.003)	Loss 1.6193 (1.6541)	Prec@1 55.000 (55.536)	Prec@5 86.500 (84.206)
Epoch: [78][3680/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.6516 (1.6542)	Prec@1 56.000 (55.537)	Prec@5 84.000 (84.204)
Epoch: [78][3690/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.5835 (1.6542)	Prec@1 56.500 (55.535)	Prec@5 85.500 (84.202)
Epoch: [78][3700/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.7175 (1.6543)	Prec@1 51.000 (55.530)	Prec@5 81.500 (84.199)
Epoch: [78][3710/9018]	Time 0.616 (0.621)	Data 0.001 (0.003)	Loss 1.6689 (1.6543)	Prec@1 51.500 (55.527)	Prec@5 83.500 (84.199)
Epoch: [78][3720/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.5427 (1.6542)	Prec@1 61.500 (55.530)	Prec@5 83.500 (84.201)
Epoch: [78][3730/9018]	Time 0.592 (0.621)	Data 0.001 (0.003)	Loss 1.6952 (1.6541)	Prec@1 55.000 (55.531)	Prec@5 83.500 (84.204)
Epoch: [78][3740/9018]	Time 0.624 (0.621)	Data 0.001 (0.003)	Loss 1.6520 (1.6540)	Prec@1 60.500 (55.536)	Prec@5 85.500 (84.206)
Epoch: [78][3750/9018]	Time 0.586 (0.621)	Data 0.001 (0.003)	Loss 1.6288 (1.6541)	Prec@1 52.000 (55.532)	Prec@5 84.500 (84.206)
Epoch: [78][3760/9018]	Time 0.598 (0.621)	Data 0.001 (0.003)	Loss 1.7940 (1.6541)	Prec@1 48.500 (55.528)	Prec@5 84.500 (84.206)
Epoch: [78][3770/9018]	Time 0.595 (0.621)	Data 0.001 (0.003)	Loss 1.5401 (1.6540)	Prec@1 56.000 (55.531)	Prec@5 89.000 (84.208)
Epoch: [78][3780/9018]	Time 0.619 (0.621)	Data 0.016 (0.003)	Loss 1.6154 (1.6542)	Prec@1 56.000 (55.528)	Prec@5 87.000 (84.206)
Epoch: [78][3790/9018]	Time 0.613 (0.621)	Data 0.001 (0.003)	Loss 1.5772 (1.6543)	Prec@1 60.500 (55.525)	Prec@5 85.000 (84.207)
Epoch: [78][3800/9018]	Time 0.596 (0.621)	Data 0.001 (0.003)	Loss 1.6710 (1.6544)	Prec@1 54.500 (55.521)	Prec@5 83.500 (84.204)
Epoch: [78][3810/9018]	Time 0.612 (0.621)	Data 0.001 (0.003)	Loss 1.6996 (1.6545)	Prec@1 52.000 (55.520)	Prec@5 84.000 (84.203)
Epoch: [78][3820/9018]	Time 0.590 (0.621)	Data 0.001 (0.003)	Loss 1.6311 (1.6546)	Prec@1 55.000 (55.518)	Prec@5 84.500 (84.202)
Epoch: [78][3830/9018]	Time 0.628 (0.621)	Data 0.001 (0.003)	Loss 1.5789 (1.6545)	Prec@1 57.500 (55.518)	Prec@5 83.000 (84.202)
Epoch: [78][3840/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.7753 (1.6545)	Prec@1 54.500 (55.519)	Prec@5 82.000 (84.204)
Epoch: [78][3850/9018]	Time 0.633 (0.621)	Data 0.001 (0.003)	Loss 1.3707 (1.6542)	Prec@1 62.000 (55.526)	Prec@5 89.500 (84.209)
Epoch: [78][3860/9018]	Time 0.628 (0.621)	Data 0.007 (0.003)	Loss 1.7223 (1.6543)	Prec@1 55.500 (55.527)	Prec@5 86.500 (84.207)
Epoch: [78][3870/9018]	Time 0.637 (0.621)	Data 0.004 (0.003)	Loss 1.7226 (1.6542)	Prec@1 53.000 (55.527)	Prec@5 86.000 (84.208)
Epoch: [78][3880/9018]	Time 0.614 (0.621)	Data 0.005 (0.003)	Loss 1.6668 (1.6543)	Prec@1 57.000 (55.524)	Prec@5 85.000 (84.208)
Epoch: [78][3890/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.7944 (1.6546)	Prec@1 57.000 (55.520)	Prec@5 78.500 (84.202)
Epoch: [78][3900/9018]	Time 0.756 (0.621)	Data 0.014 (0.003)	Loss 1.6486 (1.6546)	Prec@1 54.000 (55.521)	Prec@5 82.500 (84.202)
Epoch: [78][3910/9018]	Time 0.612 (0.621)	Data 0.001 (0.003)	Loss 1.7281 (1.6546)	Prec@1 51.000 (55.523)	Prec@5 84.000 (84.203)
Epoch: [78][3920/9018]	Time 0.596 (0.621)	Data 0.001 (0.003)	Loss 1.6010 (1.6547)	Prec@1 59.500 (55.521)	Prec@5 85.000 (84.201)
Epoch: [78][3930/9018]	Time 0.633 (0.621)	Data 0.013 (0.003)	Loss 1.9484 (1.6548)	Prec@1 46.500 (55.518)	Prec@5 80.000 (84.196)
Epoch: [78][3940/9018]	Time 0.619 (0.621)	Data 0.001 (0.003)	Loss 1.6636 (1.6548)	Prec@1 50.500 (55.515)	Prec@5 85.000 (84.195)
Epoch: [78][3950/9018]	Time 0.721 (0.621)	Data 0.001 (0.003)	Loss 1.5798 (1.6549)	Prec@1 61.000 (55.515)	Prec@5 84.000 (84.193)
Epoch: [78][3960/9018]	Time 0.641 (0.621)	Data 0.001 (0.003)	Loss 1.7120 (1.6551)	Prec@1 54.500 (55.510)	Prec@5 86.500 (84.192)
Epoch: [78][3970/9018]	Time 0.636 (0.621)	Data 0.001 (0.003)	Loss 1.7991 (1.6552)	Prec@1 54.000 (55.507)	Prec@5 82.500 (84.190)
Epoch: [78][3980/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.5472 (1.6552)	Prec@1 58.000 (55.508)	Prec@5 83.500 (84.190)
Epoch: [78][3990/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.5435 (1.6551)	Prec@1 58.500 (55.511)	Prec@5 88.000 (84.190)
Epoch: [78][4000/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.6190 (1.6550)	Prec@1 55.500 (55.512)	Prec@5 83.000 (84.190)
Epoch: [78][4010/9018]	Time 0.622 (0.621)	Data 0.012 (0.003)	Loss 1.7250 (1.6551)	Prec@1 47.500 (55.509)	Prec@5 83.500 (84.189)
Epoch: [78][4020/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.8479 (1.6551)	Prec@1 50.500 (55.506)	Prec@5 82.500 (84.190)
Epoch: [78][4030/9018]	Time 0.618 (0.621)	Data 0.001 (0.003)	Loss 1.6949 (1.6553)	Prec@1 52.500 (55.501)	Prec@5 82.500 (84.186)
Epoch: [78][4040/9018]	Time 0.590 (0.621)	Data 0.001 (0.003)	Loss 1.7290 (1.6552)	Prec@1 54.000 (55.503)	Prec@5 85.500 (84.188)
Epoch: [78][4050/9018]	Time 0.620 (0.621)	Data 0.001 (0.003)	Loss 1.7276 (1.6553)	Prec@1 54.500 (55.499)	Prec@5 83.000 (84.188)
Epoch: [78][4060/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.6259 (1.6554)	Prec@1 59.000 (55.498)	Prec@5 84.000 (84.185)
Epoch: [78][4070/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.8335 (1.6556)	Prec@1 49.500 (55.491)	Prec@5 82.000 (84.181)
Epoch: [78][4080/9018]	Time 0.623 (0.621)	Data 0.001 (0.003)	Loss 1.7348 (1.6556)	Prec@1 54.500 (55.489)	Prec@5 81.500 (84.182)
Epoch: [78][4090/9018]	Time 0.616 (0.621)	Data 0.001 (0.003)	Loss 1.5085 (1.6555)	Prec@1 58.500 (55.494)	Prec@5 87.000 (84.184)
Epoch: [78][4100/9018]	Time 0.636 (0.621)	Data 0.001 (0.003)	Loss 1.5521 (1.6555)	Prec@1 58.500 (55.494)	Prec@5 83.000 (84.185)
Epoch: [78][4110/9018]	Time 0.601 (0.621)	Data 0.001 (0.003)	Loss 1.7181 (1.6555)	Prec@1 56.500 (55.498)	Prec@5 78.500 (84.184)
Epoch: [78][4120/9018]	Time 0.638 (0.621)	Data 0.001 (0.003)	Loss 1.6816 (1.6556)	Prec@1 52.000 (55.491)	Prec@5 87.000 (84.182)
Epoch: [78][4130/9018]	Time 0.618 (0.621)	Data 0.001 (0.003)	Loss 1.6462 (1.6556)	Prec@1 52.500 (55.489)	Prec@5 86.500 (84.184)
Epoch: [78][4140/9018]	Time 0.600 (0.621)	Data 0.001 (0.003)	Loss 1.6994 (1.6556)	Prec@1 52.000 (55.487)	Prec@5 85.500 (84.184)
Epoch: [78][4150/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.4581 (1.6555)	Prec@1 59.000 (55.490)	Prec@5 88.000 (84.187)
Epoch: [78][4160/9018]	Time 0.599 (0.621)	Data 0.001 (0.003)	Loss 1.8334 (1.6555)	Prec@1 48.500 (55.491)	Prec@5 80.500 (84.188)
Epoch: [78][4170/9018]	Time 0.630 (0.621)	Data 0.001 (0.003)	Loss 1.5925 (1.6557)	Prec@1 55.000 (55.488)	Prec@5 85.500 (84.185)
Epoch: [78][4180/9018]	Time 0.617 (0.621)	Data 0.001 (0.003)	Loss 1.6441 (1.6555)	Prec@1 56.500 (55.491)	Prec@5 85.500 (84.188)
Epoch: [78][4190/9018]	Time 0.627 (0.621)	Data 0.001 (0.003)	Loss 1.5932 (1.6555)	Prec@1 54.500 (55.490)	Prec@5 86.000 (84.188)
Epoch: [78][4200/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.7421 (1.6556)	Prec@1 54.500 (55.489)	Prec@5 83.000 (84.185)
Epoch: [78][4210/9018]	Time 0.593 (0.621)	Data 0.001 (0.003)	Loss 1.8196 (1.6556)	Prec@1 50.500 (55.491)	Prec@5 78.500 (84.186)
Epoch: [78][4220/9018]	Time 0.593 (0.621)	Data 0.001 (0.003)	Loss 1.8109 (1.6557)	Prec@1 52.500 (55.489)	Prec@5 80.500 (84.183)
Epoch: [78][4230/9018]	Time 0.713 (0.621)	Data 0.001 (0.003)	Loss 1.7665 (1.6557)	Prec@1 52.500 (55.490)	Prec@5 83.000 (84.183)
Epoch: [78][4240/9018]	Time 0.609 (0.621)	Data 0.001 (0.003)	Loss 1.6585 (1.6558)	Prec@1 59.000 (55.490)	Prec@5 79.000 (84.183)
Epoch: [78][4250/9018]	Time 0.623 (0.621)	Data 0.001 (0.003)	Loss 2.0052 (1.6559)	Prec@1 49.000 (55.485)	Prec@5 78.500 (84.181)
Epoch: [78][4260/9018]	Time 0.620 (0.621)	Data 0.001 (0.003)	Loss 1.6166 (1.6559)	Prec@1 57.000 (55.488)	Prec@5 81.500 (84.179)
Epoch: [78][4270/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.9695 (1.6559)	Prec@1 47.500 (55.490)	Prec@5 79.500 (84.180)
Epoch: [78][4280/9018]	Time 0.727 (0.621)	Data 0.001 (0.003)	Loss 1.6407 (1.6560)	Prec@1 54.500 (55.487)	Prec@5 84.000 (84.178)
Epoch: [78][4290/9018]	Time 0.613 (0.621)	Data 0.001 (0.003)	Loss 1.6710 (1.6560)	Prec@1 55.500 (55.484)	Prec@5 85.000 (84.178)
Epoch: [78][4300/9018]	Time 0.596 (0.621)	Data 0.002 (0.003)	Loss 1.7913 (1.6561)	Prec@1 46.500 (55.480)	Prec@5 83.000 (84.178)
Epoch: [78][4310/9018]	Time 0.618 (0.621)	Data 0.001 (0.003)	Loss 1.6085 (1.6562)	Prec@1 58.500 (55.477)	Prec@5 86.500 (84.176)
Epoch: [78][4320/9018]	Time 0.602 (0.621)	Data 0.001 (0.003)	Loss 1.7747 (1.6562)	Prec@1 52.500 (55.476)	Prec@5 81.500 (84.175)
Epoch: [78][4330/9018]	Time 0.620 (0.621)	Data 0.001 (0.003)	Loss 1.7096 (1.6562)	Prec@1 54.500 (55.475)	Prec@5 83.500 (84.175)
Epoch: [78][4340/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.7674 (1.6564)	Prec@1 51.500 (55.472)	Prec@5 81.500 (84.172)
Epoch: [78][4350/9018]	Time 0.593 (0.621)	Data 0.001 (0.003)	Loss 1.6955 (1.6564)	Prec@1 52.500 (55.471)	Prec@5 85.500 (84.172)
Epoch: [78][4360/9018]	Time 0.591 (0.621)	Data 0.001 (0.003)	Loss 1.6722 (1.6565)	Prec@1 53.500 (55.470)	Prec@5 85.000 (84.172)
Epoch: [78][4370/9018]	Time 0.623 (0.621)	Data 0.001 (0.003)	Loss 1.6413 (1.6566)	Prec@1 57.000 (55.468)	Prec@5 82.000 (84.172)
Epoch: [78][4380/9018]	Time 0.599 (0.621)	Data 0.001 (0.003)	Loss 1.7778 (1.6567)	Prec@1 49.000 (55.466)	Prec@5 82.000 (84.169)
Epoch: [78][4390/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.6109 (1.6566)	Prec@1 57.000 (55.470)	Prec@5 84.500 (84.170)
Epoch: [78][4400/9018]	Time 0.618 (0.621)	Data 0.012 (0.003)	Loss 1.5503 (1.6566)	Prec@1 56.000 (55.468)	Prec@5 86.000 (84.170)
Epoch: [78][4410/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.7772 (1.6567)	Prec@1 53.500 (55.468)	Prec@5 81.500 (84.168)
Epoch: [78][4420/9018]	Time 0.592 (0.621)	Data 0.001 (0.003)	Loss 1.7588 (1.6567)	Prec@1 50.500 (55.469)	Prec@5 84.500 (84.169)
Epoch: [78][4430/9018]	Time 0.592 (0.621)	Data 0.001 (0.003)	Loss 1.6675 (1.6567)	Prec@1 52.500 (55.469)	Prec@5 87.000 (84.169)
Epoch: [78][4440/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.7177 (1.6567)	Prec@1 52.000 (55.470)	Prec@5 82.500 (84.168)
Epoch: [78][4450/9018]	Time 0.646 (0.621)	Data 0.001 (0.003)	Loss 1.6399 (1.6567)	Prec@1 53.500 (55.468)	Prec@5 85.500 (84.168)
Epoch: [78][4460/9018]	Time 0.595 (0.621)	Data 0.001 (0.003)	Loss 1.6824 (1.6567)	Prec@1 53.500 (55.466)	Prec@5 85.500 (84.171)
Epoch: [78][4470/9018]	Time 0.589 (0.621)	Data 0.001 (0.003)	Loss 1.7289 (1.6567)	Prec@1 55.000 (55.467)	Prec@5 82.000 (84.172)
Epoch: [78][4480/9018]	Time 0.620 (0.621)	Data 0.001 (0.003)	Loss 1.7597 (1.6567)	Prec@1 54.500 (55.467)	Prec@5 85.000 (84.173)
Epoch: [78][4490/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.5204 (1.6566)	Prec@1 59.500 (55.470)	Prec@5 86.500 (84.173)
Epoch: [78][4500/9018]	Time 0.599 (0.621)	Data 0.001 (0.003)	Loss 1.8088 (1.6564)	Prec@1 46.500 (55.471)	Prec@5 81.000 (84.177)
Epoch: [78][4510/9018]	Time 0.600 (0.621)	Data 0.001 (0.003)	Loss 1.7338 (1.6565)	Prec@1 55.000 (55.470)	Prec@5 84.000 (84.174)
Epoch: [78][4520/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.6239 (1.6565)	Prec@1 53.000 (55.471)	Prec@5 87.500 (84.174)
Epoch: [78][4530/9018]	Time 0.637 (0.621)	Data 0.001 (0.003)	Loss 1.5419 (1.6566)	Prec@1 58.500 (55.470)	Prec@5 86.500 (84.171)
Epoch: [78][4540/9018]	Time 0.624 (0.621)	Data 0.001 (0.003)	Loss 1.4921 (1.6566)	Prec@1 61.500 (55.468)	Prec@5 87.000 (84.175)
Epoch: [78][4550/9018]	Time 0.595 (0.621)	Data 0.001 (0.003)	Loss 1.6367 (1.6568)	Prec@1 57.500 (55.467)	Prec@5 81.000 (84.171)
Epoch: [78][4560/9018]	Time 0.757 (0.621)	Data 0.001 (0.003)	Loss 1.8642 (1.6569)	Prec@1 49.500 (55.464)	Prec@5 81.000 (84.168)
Epoch: [78][4570/9018]	Time 0.633 (0.621)	Data 0.001 (0.003)	Loss 1.7472 (1.6569)	Prec@1 53.000 (55.463)	Prec@5 80.000 (84.168)
Epoch: [78][4580/9018]	Time 0.628 (0.621)	Data 0.001 (0.003)	Loss 1.6123 (1.6568)	Prec@1 52.000 (55.463)	Prec@5 85.500 (84.167)
Epoch: [78][4590/9018]	Time 0.641 (0.621)	Data 0.016 (0.003)	Loss 1.6487 (1.6568)	Prec@1 54.500 (55.463)	Prec@5 84.500 (84.170)
Epoch: [78][4600/9018]	Time 0.634 (0.621)	Data 0.007 (0.003)	Loss 1.8389 (1.6568)	Prec@1 49.000 (55.460)	Prec@5 83.000 (84.171)
Epoch: [78][4610/9018]	Time 0.726 (0.621)	Data 0.018 (0.003)	Loss 1.6776 (1.6568)	Prec@1 50.500 (55.458)	Prec@5 83.500 (84.171)
Epoch: [78][4620/9018]	Time 0.593 (0.621)	Data 0.001 (0.003)	Loss 1.6788 (1.6569)	Prec@1 56.000 (55.454)	Prec@5 83.000 (84.173)
Epoch: [78][4630/9018]	Time 0.619 (0.621)	Data 0.016 (0.003)	Loss 1.5350 (1.6568)	Prec@1 57.000 (55.456)	Prec@5 86.000 (84.174)
Epoch: [78][4640/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.5132 (1.6570)	Prec@1 62.500 (55.451)	Prec@5 86.500 (84.173)
Epoch: [78][4650/9018]	Time 0.600 (0.621)	Data 0.004 (0.003)	Loss 1.6202 (1.6569)	Prec@1 55.500 (55.454)	Prec@5 85.500 (84.175)
Epoch: [78][4660/9018]	Time 0.618 (0.621)	Data 0.008 (0.003)	Loss 1.5998 (1.6568)	Prec@1 52.000 (55.458)	Prec@5 85.500 (84.178)
Epoch: [78][4670/9018]	Time 0.591 (0.621)	Data 0.001 (0.003)	Loss 1.6620 (1.6567)	Prec@1 57.000 (55.460)	Prec@5 86.500 (84.178)
Epoch: [78][4680/9018]	Time 0.596 (0.621)	Data 0.001 (0.003)	Loss 1.5805 (1.6567)	Prec@1 55.000 (55.459)	Prec@5 85.500 (84.178)
Epoch: [78][4690/9018]	Time 0.600 (0.621)	Data 0.001 (0.003)	Loss 1.7794 (1.6568)	Prec@1 54.500 (55.458)	Prec@5 83.000 (84.178)
Epoch: [78][4700/9018]	Time 0.602 (0.621)	Data 0.001 (0.003)	Loss 1.7375 (1.6569)	Prec@1 56.500 (55.459)	Prec@5 82.500 (84.176)
Epoch: [78][4710/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.6959 (1.6569)	Prec@1 53.500 (55.460)	Prec@5 84.000 (84.176)
Epoch: [78][4720/9018]	Time 0.601 (0.621)	Data 0.001 (0.003)	Loss 1.7293 (1.6569)	Prec@1 51.500 (55.457)	Prec@5 85.000 (84.176)
Epoch: [78][4730/9018]	Time 0.627 (0.621)	Data 0.001 (0.003)	Loss 1.5252 (1.6569)	Prec@1 59.000 (55.456)	Prec@5 85.000 (84.176)
Epoch: [78][4740/9018]	Time 0.598 (0.621)	Data 0.001 (0.003)	Loss 1.7495 (1.6569)	Prec@1 50.500 (55.457)	Prec@5 81.000 (84.177)
Epoch: [78][4750/9018]	Time 0.619 (0.621)	Data 0.001 (0.003)	Loss 1.7588 (1.6569)	Prec@1 55.000 (55.456)	Prec@5 81.500 (84.177)
Epoch: [78][4760/9018]	Time 0.601 (0.621)	Data 0.001 (0.003)	Loss 1.7888 (1.6570)	Prec@1 55.500 (55.454)	Prec@5 81.500 (84.176)
Epoch: [78][4770/9018]	Time 0.619 (0.621)	Data 0.001 (0.003)	Loss 1.5784 (1.6569)	Prec@1 54.500 (55.456)	Prec@5 88.500 (84.179)
Epoch: [78][4780/9018]	Time 0.606 (0.621)	Data 0.002 (0.003)	Loss 1.5631 (1.6568)	Prec@1 54.000 (55.456)	Prec@5 85.500 (84.178)
Epoch: [78][4790/9018]	Time 0.613 (0.621)	Data 0.001 (0.003)	Loss 1.5342 (1.6568)	Prec@1 56.500 (55.458)	Prec@5 85.000 (84.176)
Epoch: [78][4800/9018]	Time 0.613 (0.621)	Data 0.001 (0.003)	Loss 1.7105 (1.6569)	Prec@1 54.000 (55.458)	Prec@5 82.500 (84.176)
Epoch: [78][4810/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.8313 (1.6567)	Prec@1 53.500 (55.464)	Prec@5 80.500 (84.177)
Epoch: [78][4820/9018]	Time 0.620 (0.621)	Data 0.001 (0.003)	Loss 1.6647 (1.6568)	Prec@1 52.500 (55.463)	Prec@5 84.000 (84.177)
Epoch: [78][4830/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.6413 (1.6568)	Prec@1 56.000 (55.463)	Prec@5 86.000 (84.177)
Epoch: [78][4840/9018]	Time 0.609 (0.621)	Data 0.008 (0.003)	Loss 1.5760 (1.6566)	Prec@1 57.500 (55.466)	Prec@5 86.000 (84.180)
Epoch: [78][4850/9018]	Time 0.654 (0.621)	Data 0.001 (0.003)	Loss 1.6199 (1.6567)	Prec@1 58.000 (55.468)	Prec@5 86.500 (84.178)
Epoch: [78][4860/9018]	Time 0.591 (0.621)	Data 0.001 (0.003)	Loss 1.6170 (1.6568)	Prec@1 61.500 (55.467)	Prec@5 81.500 (84.177)
Epoch: [78][4870/9018]	Time 0.602 (0.621)	Data 0.001 (0.003)	Loss 1.7285 (1.6569)	Prec@1 54.000 (55.465)	Prec@5 83.500 (84.177)
Epoch: [78][4880/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.6991 (1.6567)	Prec@1 51.500 (55.465)	Prec@5 83.500 (84.180)
Epoch: [78][4890/9018]	Time 0.731 (0.621)	Data 0.001 (0.003)	Loss 1.6103 (1.6567)	Prec@1 53.500 (55.466)	Prec@5 86.000 (84.182)
Epoch: [78][4900/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.6806 (1.6567)	Prec@1 55.500 (55.464)	Prec@5 87.000 (84.184)
Epoch: [78][4910/9018]	Time 0.596 (0.621)	Data 0.001 (0.003)	Loss 1.7751 (1.6567)	Prec@1 53.000 (55.463)	Prec@5 80.500 (84.183)
Epoch: [78][4920/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.8388 (1.6568)	Prec@1 56.500 (55.463)	Prec@5 82.000 (84.180)
Epoch: [78][4930/9018]	Time 0.637 (0.621)	Data 0.001 (0.003)	Loss 1.5429 (1.6570)	Prec@1 56.500 (55.460)	Prec@5 86.500 (84.177)
Epoch: [78][4940/9018]	Time 0.770 (0.621)	Data 0.001 (0.003)	Loss 1.7548 (1.6570)	Prec@1 54.500 (55.456)	Prec@5 81.500 (84.176)
Epoch: [78][4950/9018]	Time 0.595 (0.621)	Data 0.001 (0.003)	Loss 1.7657 (1.6571)	Prec@1 50.000 (55.455)	Prec@5 86.500 (84.177)
Epoch: [78][4960/9018]	Time 0.613 (0.621)	Data 0.001 (0.003)	Loss 1.4868 (1.6572)	Prec@1 60.500 (55.456)	Prec@5 84.500 (84.176)
Epoch: [78][4970/9018]	Time 0.627 (0.621)	Data 0.001 (0.003)	Loss 1.5173 (1.6571)	Prec@1 58.000 (55.459)	Prec@5 85.500 (84.177)
Epoch: [78][4980/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.6557 (1.6571)	Prec@1 53.500 (55.457)	Prec@5 82.000 (84.174)
Epoch: [78][4990/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.7571 (1.6570)	Prec@1 51.500 (55.457)	Prec@5 83.000 (84.175)
Epoch: [78][5000/9018]	Time 0.589 (0.621)	Data 0.001 (0.003)	Loss 1.6409 (1.6571)	Prec@1 58.500 (55.457)	Prec@5 83.000 (84.174)
Epoch: [78][5010/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.5567 (1.6569)	Prec@1 57.000 (55.459)	Prec@5 89.500 (84.179)
Epoch: [78][5020/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.5410 (1.6568)	Prec@1 55.000 (55.462)	Prec@5 85.000 (84.178)
Epoch: [78][5030/9018]	Time 0.620 (0.621)	Data 0.001 (0.003)	Loss 1.8029 (1.6570)	Prec@1 56.500 (55.460)	Prec@5 80.000 (84.175)
Epoch: [78][5040/9018]	Time 0.627 (0.621)	Data 0.001 (0.003)	Loss 1.7409 (1.6569)	Prec@1 48.500 (55.458)	Prec@5 84.000 (84.175)
Epoch: [78][5050/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.5077 (1.6570)	Prec@1 57.000 (55.458)	Prec@5 87.000 (84.176)
Epoch: [78][5060/9018]	Time 0.591 (0.621)	Data 0.001 (0.003)	Loss 1.8552 (1.6571)	Prec@1 56.000 (55.455)	Prec@5 76.500 (84.172)
Epoch: [78][5070/9018]	Time 0.623 (0.621)	Data 0.001 (0.003)	Loss 1.7210 (1.6573)	Prec@1 54.500 (55.453)	Prec@5 81.500 (84.171)
Epoch: [78][5080/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.9632 (1.6573)	Prec@1 49.000 (55.454)	Prec@5 80.000 (84.170)
Epoch: [78][5090/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.8393 (1.6574)	Prec@1 52.000 (55.453)	Prec@5 79.500 (84.166)
Epoch: [78][5100/9018]	Time 0.611 (0.621)	Data 0.009 (0.003)	Loss 1.5580 (1.6575)	Prec@1 57.000 (55.451)	Prec@5 86.500 (84.166)
Epoch: [78][5110/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.6765 (1.6576)	Prec@1 53.000 (55.451)	Prec@5 84.500 (84.164)
Epoch: [78][5120/9018]	Time 0.592 (0.621)	Data 0.001 (0.003)	Loss 1.4278 (1.6575)	Prec@1 57.000 (55.451)	Prec@5 88.000 (84.166)
Epoch: [78][5130/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.9214 (1.6576)	Prec@1 51.500 (55.451)	Prec@5 82.000 (84.166)
Epoch: [78][5140/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.7799 (1.6577)	Prec@1 57.500 (55.448)	Prec@5 82.000 (84.162)
Epoch: [78][5150/9018]	Time 0.624 (0.621)	Data 0.001 (0.003)	Loss 1.6096 (1.6576)	Prec@1 58.000 (55.450)	Prec@5 84.500 (84.165)
Epoch: [78][5160/9018]	Time 0.601 (0.621)	Data 0.011 (0.003)	Loss 1.6387 (1.6577)	Prec@1 54.500 (55.449)	Prec@5 85.000 (84.164)
Epoch: [78][5170/9018]	Time 0.600 (0.621)	Data 0.001 (0.003)	Loss 1.5809 (1.6577)	Prec@1 54.500 (55.449)	Prec@5 86.000 (84.165)
Epoch: [78][5180/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.4350 (1.6577)	Prec@1 58.500 (55.446)	Prec@5 88.000 (84.164)
Epoch: [78][5190/9018]	Time 0.629 (0.621)	Data 0.013 (0.003)	Loss 1.7387 (1.6577)	Prec@1 53.000 (55.448)	Prec@5 85.000 (84.164)
Epoch: [78][5200/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.7516 (1.6577)	Prec@1 58.000 (55.446)	Prec@5 82.000 (84.164)
Epoch: [78][5210/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.9758 (1.6579)	Prec@1 50.500 (55.445)	Prec@5 77.500 (84.161)
Epoch: [78][5220/9018]	Time 0.764 (0.621)	Data 0.017 (0.003)	Loss 1.8777 (1.6579)	Prec@1 50.500 (55.446)	Prec@5 81.000 (84.161)
Epoch: [78][5230/9018]	Time 0.601 (0.621)	Data 0.001 (0.003)	Loss 1.8307 (1.6579)	Prec@1 55.000 (55.447)	Prec@5 82.500 (84.162)
Epoch: [78][5240/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.7261 (1.6579)	Prec@1 53.500 (55.446)	Prec@5 81.500 (84.159)
Epoch: [78][5250/9018]	Time 0.592 (0.621)	Data 0.001 (0.003)	Loss 1.8194 (1.6580)	Prec@1 50.500 (55.446)	Prec@5 78.000 (84.156)
Epoch: [78][5260/9018]	Time 0.634 (0.621)	Data 0.001 (0.003)	Loss 1.6863 (1.6581)	Prec@1 53.500 (55.444)	Prec@5 84.000 (84.157)
Epoch: [78][5270/9018]	Time 0.730 (0.621)	Data 0.001 (0.003)	Loss 1.8274 (1.6581)	Prec@1 51.500 (55.442)	Prec@5 81.500 (84.156)
Epoch: [78][5280/9018]	Time 0.599 (0.621)	Data 0.001 (0.003)	Loss 1.6894 (1.6581)	Prec@1 59.000 (55.443)	Prec@5 81.500 (84.156)
Epoch: [78][5290/9018]	Time 0.611 (0.621)	Data 0.007 (0.003)	Loss 1.5700 (1.6581)	Prec@1 55.000 (55.445)	Prec@5 86.500 (84.157)
Epoch: [78][5300/9018]	Time 0.596 (0.621)	Data 0.013 (0.003)	Loss 1.7568 (1.6581)	Prec@1 53.000 (55.447)	Prec@5 84.000 (84.155)
Epoch: [78][5310/9018]	Time 0.627 (0.621)	Data 0.005 (0.003)	Loss 1.7783 (1.6582)	Prec@1 61.000 (55.446)	Prec@5 81.500 (84.153)
Epoch: [78][5320/9018]	Time 0.610 (0.621)	Data 0.013 (0.003)	Loss 1.7770 (1.6582)	Prec@1 52.500 (55.448)	Prec@5 83.500 (84.154)
Epoch: [78][5330/9018]	Time 0.605 (0.621)	Data 0.002 (0.003)	Loss 1.9097 (1.6582)	Prec@1 52.000 (55.449)	Prec@5 81.500 (84.156)
Epoch: [78][5340/9018]	Time 0.599 (0.621)	Data 0.001 (0.003)	Loss 1.8781 (1.6582)	Prec@1 52.500 (55.448)	Prec@5 79.500 (84.155)
Epoch: [78][5350/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.5961 (1.6583)	Prec@1 60.500 (55.446)	Prec@5 86.000 (84.153)
Epoch: [78][5360/9018]	Time 0.601 (0.621)	Data 0.001 (0.003)	Loss 1.5675 (1.6583)	Prec@1 56.000 (55.448)	Prec@5 86.000 (84.153)
Epoch: [78][5370/9018]	Time 0.619 (0.621)	Data 0.001 (0.003)	Loss 1.7498 (1.6583)	Prec@1 51.500 (55.445)	Prec@5 83.500 (84.152)
Epoch: [78][5380/9018]	Time 0.609 (0.621)	Data 0.011 (0.003)	Loss 1.5671 (1.6584)	Prec@1 56.000 (55.443)	Prec@5 87.500 (84.153)
Epoch: [78][5390/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.6798 (1.6584)	Prec@1 51.000 (55.440)	Prec@5 84.500 (84.152)
Epoch: [78][5400/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.6817 (1.6585)	Prec@1 56.000 (55.439)	Prec@5 80.500 (84.151)
Epoch: [78][5410/9018]	Time 0.618 (0.621)	Data 0.007 (0.003)	Loss 1.7935 (1.6586)	Prec@1 56.500 (55.436)	Prec@5 83.500 (84.151)
Epoch: [78][5420/9018]	Time 0.596 (0.621)	Data 0.001 (0.003)	Loss 1.4413 (1.6585)	Prec@1 57.500 (55.438)	Prec@5 90.000 (84.155)
Epoch: [78][5430/9018]	Time 0.618 (0.621)	Data 0.001 (0.003)	Loss 1.5754 (1.6586)	Prec@1 57.500 (55.434)	Prec@5 88.000 (84.153)
Epoch: [78][5440/9018]	Time 0.592 (0.621)	Data 0.001 (0.003)	Loss 1.4684 (1.6585)	Prec@1 62.500 (55.437)	Prec@5 88.000 (84.155)
Epoch: [78][5450/9018]	Time 0.627 (0.621)	Data 0.001 (0.003)	Loss 1.4776 (1.6585)	Prec@1 62.000 (55.438)	Prec@5 86.500 (84.156)
Epoch: [78][5460/9018]	Time 0.594 (0.621)	Data 0.001 (0.003)	Loss 1.9466 (1.6585)	Prec@1 52.500 (55.438)	Prec@5 78.000 (84.154)
Epoch: [78][5470/9018]	Time 0.599 (0.621)	Data 0.001 (0.003)	Loss 1.6899 (1.6585)	Prec@1 56.000 (55.441)	Prec@5 83.000 (84.154)
Epoch: [78][5480/9018]	Time 0.616 (0.621)	Data 0.001 (0.003)	Loss 1.7708 (1.6586)	Prec@1 50.500 (55.440)	Prec@5 83.000 (84.150)
Epoch: [78][5490/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.6545 (1.6586)	Prec@1 54.000 (55.441)	Prec@5 87.000 (84.151)
Epoch: [78][5500/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.7001 (1.6585)	Prec@1 58.500 (55.444)	Prec@5 82.000 (84.152)
Epoch: [78][5510/9018]	Time 0.657 (0.621)	Data 0.001 (0.003)	Loss 1.5834 (1.6585)	Prec@1 55.500 (55.445)	Prec@5 85.000 (84.152)
Epoch: [78][5520/9018]	Time 0.631 (0.621)	Data 0.001 (0.003)	Loss 1.4371 (1.6585)	Prec@1 62.000 (55.446)	Prec@5 84.500 (84.151)
Epoch: [78][5530/9018]	Time 0.631 (0.621)	Data 0.001 (0.003)	Loss 1.7498 (1.6586)	Prec@1 52.500 (55.442)	Prec@5 84.500 (84.150)
Epoch: [78][5540/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.4713 (1.6585)	Prec@1 57.500 (55.443)	Prec@5 85.500 (84.152)
Epoch: [78][5550/9018]	Time 0.731 (0.621)	Data 0.001 (0.003)	Loss 1.6830 (1.6586)	Prec@1 60.000 (55.444)	Prec@5 82.000 (84.150)
Epoch: [78][5560/9018]	Time 0.603 (0.621)	Data 0.001 (0.003)	Loss 1.7627 (1.6586)	Prec@1 47.000 (55.443)	Prec@5 84.500 (84.151)
Epoch: [78][5570/9018]	Time 0.608 (0.621)	Data 0.014 (0.003)	Loss 1.8806 (1.6586)	Prec@1 42.000 (55.441)	Prec@5 83.000 (84.151)
Epoch: [78][5580/9018]	Time 0.609 (0.620)	Data 0.016 (0.003)	Loss 1.5630 (1.6586)	Prec@1 60.000 (55.442)	Prec@5 86.000 (84.152)
Epoch: [78][5590/9018]	Time 0.595 (0.621)	Data 0.001 (0.003)	Loss 1.7591 (1.6588)	Prec@1 51.000 (55.439)	Prec@5 84.000 (84.149)
Epoch: [78][5600/9018]	Time 0.750 (0.621)	Data 0.001 (0.003)	Loss 1.7654 (1.6588)	Prec@1 50.500 (55.435)	Prec@5 85.000 (84.148)
Epoch: [78][5610/9018]	Time 0.616 (0.620)	Data 0.001 (0.003)	Loss 1.6184 (1.6588)	Prec@1 55.500 (55.438)	Prec@5 85.500 (84.150)
Epoch: [78][5620/9018]	Time 0.594 (0.620)	Data 0.001 (0.003)	Loss 1.7278 (1.6588)	Prec@1 56.500 (55.438)	Prec@5 85.000 (84.149)
Epoch: [78][5630/9018]	Time 0.591 (0.620)	Data 0.001 (0.003)	Loss 1.4301 (1.6588)	Prec@1 62.500 (55.437)	Prec@5 89.500 (84.150)
Epoch: [78][5640/9018]	Time 0.623 (0.620)	Data 0.001 (0.003)	Loss 1.8700 (1.6588)	Prec@1 52.000 (55.438)	Prec@5 79.000 (84.148)
Epoch: [78][5650/9018]	Time 0.615 (0.620)	Data 0.016 (0.003)	Loss 1.6475 (1.6586)	Prec@1 52.500 (55.441)	Prec@5 87.000 (84.151)
Epoch: [78][5660/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.7436 (1.6586)	Prec@1 53.000 (55.443)	Prec@5 81.500 (84.153)
Epoch: [78][5670/9018]	Time 0.609 (0.620)	Data 0.001 (0.003)	Loss 1.4422 (1.6585)	Prec@1 63.500 (55.447)	Prec@5 85.500 (84.154)
Epoch: [78][5680/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.6461 (1.6585)	Prec@1 56.500 (55.448)	Prec@5 85.500 (84.155)
Epoch: [78][5690/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.4433 (1.6586)	Prec@1 56.000 (55.447)	Prec@5 86.500 (84.155)
Epoch: [78][5700/9018]	Time 0.635 (0.620)	Data 0.001 (0.003)	Loss 1.6399 (1.6585)	Prec@1 55.500 (55.445)	Prec@5 86.500 (84.156)
Epoch: [78][5710/9018]	Time 0.624 (0.620)	Data 0.007 (0.003)	Loss 1.6667 (1.6586)	Prec@1 54.500 (55.442)	Prec@5 84.500 (84.155)
Epoch: [78][5720/9018]	Time 0.618 (0.620)	Data 0.001 (0.003)	Loss 1.7496 (1.6588)	Prec@1 50.000 (55.438)	Prec@5 83.000 (84.153)
Epoch: [78][5730/9018]	Time 0.619 (0.620)	Data 0.001 (0.003)	Loss 1.6120 (1.6588)	Prec@1 59.500 (55.440)	Prec@5 81.500 (84.151)
Epoch: [78][5740/9018]	Time 0.640 (0.620)	Data 0.001 (0.003)	Loss 1.6681 (1.6588)	Prec@1 56.500 (55.443)	Prec@5 84.000 (84.152)
Epoch: [78][5750/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.8125 (1.6589)	Prec@1 52.500 (55.441)	Prec@5 80.500 (84.149)
Epoch: [78][5760/9018]	Time 0.595 (0.620)	Data 0.001 (0.003)	Loss 1.4251 (1.6588)	Prec@1 59.000 (55.442)	Prec@5 89.500 (84.150)
Epoch: [78][5770/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.6996 (1.6588)	Prec@1 56.500 (55.442)	Prec@5 80.500 (84.149)
Epoch: [78][5780/9018]	Time 0.601 (0.620)	Data 0.001 (0.003)	Loss 1.7137 (1.6588)	Prec@1 57.500 (55.445)	Prec@5 82.500 (84.148)
Epoch: [78][5790/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.8292 (1.6588)	Prec@1 50.500 (55.444)	Prec@5 79.500 (84.148)
Epoch: [78][5800/9018]	Time 0.595 (0.620)	Data 0.001 (0.003)	Loss 1.4912 (1.6588)	Prec@1 56.000 (55.444)	Prec@5 85.000 (84.147)
Epoch: [78][5810/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.5597 (1.6587)	Prec@1 60.000 (55.446)	Prec@5 85.500 (84.147)
Epoch: [78][5820/9018]	Time 0.602 (0.620)	Data 0.001 (0.003)	Loss 1.7093 (1.6588)	Prec@1 54.000 (55.444)	Prec@5 84.000 (84.147)
Epoch: [78][5830/9018]	Time 0.608 (0.620)	Data 0.014 (0.003)	Loss 1.6328 (1.6588)	Prec@1 60.000 (55.445)	Prec@5 82.000 (84.147)
Epoch: [78][5840/9018]	Time 0.614 (0.620)	Data 0.001 (0.003)	Loss 1.6431 (1.6588)	Prec@1 56.000 (55.443)	Prec@5 84.500 (84.146)
Epoch: [78][5850/9018]	Time 0.622 (0.620)	Data 0.001 (0.003)	Loss 1.6687 (1.6589)	Prec@1 53.000 (55.444)	Prec@5 84.500 (84.144)
Epoch: [78][5860/9018]	Time 0.619 (0.620)	Data 0.001 (0.003)	Loss 1.4967 (1.6589)	Prec@1 63.000 (55.442)	Prec@5 84.500 (84.144)
Epoch: [78][5870/9018]	Time 0.619 (0.620)	Data 0.001 (0.003)	Loss 1.7528 (1.6589)	Prec@1 54.000 (55.440)	Prec@5 82.000 (84.146)
Epoch: [78][5880/9018]	Time 0.723 (0.620)	Data 0.002 (0.003)	Loss 1.7562 (1.6590)	Prec@1 55.000 (55.438)	Prec@5 81.500 (84.145)
Epoch: [78][5890/9018]	Time 0.607 (0.620)	Data 0.001 (0.003)	Loss 1.7125 (1.6592)	Prec@1 54.500 (55.435)	Prec@5 82.500 (84.144)
Epoch: [78][5900/9018]	Time 0.604 (0.620)	Data 0.001 (0.003)	Loss 1.6560 (1.6592)	Prec@1 52.000 (55.435)	Prec@5 83.000 (84.143)
Epoch: [78][5910/9018]	Time 0.584 (0.620)	Data 0.001 (0.003)	Loss 1.6541 (1.6593)	Prec@1 55.500 (55.434)	Prec@5 81.500 (84.140)
Epoch: [78][5920/9018]	Time 0.623 (0.620)	Data 0.001 (0.003)	Loss 1.4791 (1.6593)	Prec@1 60.000 (55.433)	Prec@5 86.500 (84.137)
Epoch: [78][5930/9018]	Time 0.802 (0.620)	Data 0.001 (0.003)	Loss 1.6629 (1.6592)	Prec@1 58.500 (55.435)	Prec@5 83.500 (84.139)
Epoch: [78][5940/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.4683 (1.6592)	Prec@1 58.500 (55.436)	Prec@5 90.000 (84.140)
Epoch: [78][5950/9018]	Time 0.595 (0.620)	Data 0.013 (0.003)	Loss 1.4661 (1.6592)	Prec@1 60.000 (55.436)	Prec@5 87.500 (84.138)
Epoch: [78][5960/9018]	Time 0.609 (0.620)	Data 0.001 (0.003)	Loss 1.7752 (1.6592)	Prec@1 53.000 (55.436)	Prec@5 83.000 (84.140)
Epoch: [78][5970/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.5607 (1.6591)	Prec@1 55.500 (55.437)	Prec@5 85.500 (84.139)
Epoch: [78][5980/9018]	Time 0.629 (0.620)	Data 0.001 (0.003)	Loss 1.6799 (1.6592)	Prec@1 54.000 (55.435)	Prec@5 81.500 (84.139)
Epoch: [78][5990/9018]	Time 0.605 (0.620)	Data 0.001 (0.003)	Loss 1.7183 (1.6592)	Prec@1 52.500 (55.436)	Prec@5 84.000 (84.138)
Epoch: [78][6000/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.7914 (1.6593)	Prec@1 50.500 (55.432)	Prec@5 79.000 (84.135)
Epoch: [78][6010/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.5730 (1.6593)	Prec@1 53.000 (55.431)	Prec@5 85.500 (84.136)
Epoch: [78][6020/9018]	Time 0.609 (0.620)	Data 0.001 (0.003)	Loss 1.5700 (1.6594)	Prec@1 58.000 (55.432)	Prec@5 84.500 (84.135)
Epoch: [78][6030/9018]	Time 0.646 (0.620)	Data 0.001 (0.003)	Loss 1.7084 (1.6595)	Prec@1 54.000 (55.429)	Prec@5 84.500 (84.133)
Epoch: [78][6040/9018]	Time 0.592 (0.620)	Data 0.001 (0.003)	Loss 1.6715 (1.6595)	Prec@1 59.000 (55.431)	Prec@5 83.000 (84.132)
Epoch: [78][6050/9018]	Time 0.613 (0.620)	Data 0.008 (0.003)	Loss 1.7083 (1.6595)	Prec@1 54.500 (55.428)	Prec@5 87.000 (84.133)
Epoch: [78][6060/9018]	Time 0.591 (0.620)	Data 0.001 (0.003)	Loss 1.6495 (1.6596)	Prec@1 56.500 (55.427)	Prec@5 83.500 (84.132)
Epoch: [78][6070/9018]	Time 0.624 (0.620)	Data 0.001 (0.003)	Loss 1.7093 (1.6597)	Prec@1 50.000 (55.423)	Prec@5 85.500 (84.132)
Epoch: [78][6080/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.8095 (1.6598)	Prec@1 52.500 (55.421)	Prec@5 81.000 (84.131)
Epoch: [78][6090/9018]	Time 0.631 (0.620)	Data 0.013 (0.003)	Loss 1.7996 (1.6598)	Prec@1 52.000 (55.420)	Prec@5 82.500 (84.131)
Epoch: [78][6100/9018]	Time 0.602 (0.620)	Data 0.002 (0.003)	Loss 1.3939 (1.6597)	Prec@1 64.000 (55.421)	Prec@5 87.000 (84.131)
Epoch: [78][6110/9018]	Time 0.591 (0.620)	Data 0.001 (0.003)	Loss 1.7214 (1.6597)	Prec@1 56.000 (55.423)	Prec@5 83.500 (84.132)
Epoch: [78][6120/9018]	Time 0.606 (0.620)	Data 0.001 (0.003)	Loss 1.5459 (1.6597)	Prec@1 59.000 (55.423)	Prec@5 84.500 (84.132)
Epoch: [78][6130/9018]	Time 0.622 (0.620)	Data 0.001 (0.003)	Loss 1.7136 (1.6597)	Prec@1 53.000 (55.424)	Prec@5 83.500 (84.131)
Epoch: [78][6140/9018]	Time 0.605 (0.620)	Data 0.001 (0.003)	Loss 1.7077 (1.6597)	Prec@1 55.500 (55.423)	Prec@5 84.500 (84.132)
Epoch: [78][6150/9018]	Time 0.592 (0.620)	Data 0.001 (0.003)	Loss 1.8032 (1.6599)	Prec@1 55.000 (55.421)	Prec@5 79.000 (84.130)
Epoch: [78][6160/9018]	Time 0.599 (0.620)	Data 0.013 (0.003)	Loss 1.7676 (1.6599)	Prec@1 53.000 (55.422)	Prec@5 83.500 (84.128)
Epoch: [78][6170/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.8447 (1.6599)	Prec@1 48.000 (55.423)	Prec@5 84.500 (84.130)
Epoch: [78][6180/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.5791 (1.6599)	Prec@1 56.000 (55.423)	Prec@5 85.500 (84.129)
Epoch: [78][6190/9018]	Time 0.611 (0.620)	Data 0.001 (0.003)	Loss 1.7013 (1.6599)	Prec@1 53.500 (55.422)	Prec@5 83.000 (84.128)
Epoch: [78][6200/9018]	Time 0.614 (0.620)	Data 0.001 (0.003)	Loss 1.7430 (1.6601)	Prec@1 55.000 (55.417)	Prec@5 83.000 (84.125)
Epoch: [78][6210/9018]	Time 0.745 (0.620)	Data 0.001 (0.003)	Loss 1.7504 (1.6600)	Prec@1 50.000 (55.418)	Prec@5 84.500 (84.125)
Epoch: [78][6220/9018]	Time 0.599 (0.620)	Data 0.001 (0.003)	Loss 1.9459 (1.6601)	Prec@1 48.000 (55.418)	Prec@5 78.500 (84.123)
Epoch: [78][6230/9018]	Time 0.608 (0.620)	Data 0.001 (0.003)	Loss 1.7080 (1.6601)	Prec@1 52.500 (55.417)	Prec@5 82.500 (84.123)
Epoch: [78][6240/9018]	Time 0.612 (0.620)	Data 0.001 (0.003)	Loss 1.5598 (1.6601)	Prec@1 58.500 (55.416)	Prec@5 84.000 (84.123)
Epoch: [78][6250/9018]	Time 0.601 (0.620)	Data 0.001 (0.003)	Loss 1.7466 (1.6602)	Prec@1 50.000 (55.415)	Prec@5 84.500 (84.123)
Epoch: [78][6260/9018]	Time 0.748 (0.620)	Data 0.001 (0.003)	Loss 1.7528 (1.6603)	Prec@1 53.500 (55.413)	Prec@5 82.500 (84.122)
Epoch: [78][6270/9018]	Time 0.610 (0.620)	Data 0.001 (0.003)	Loss 1.5076 (1.6603)	Prec@1 56.000 (55.411)	Prec@5 88.500 (84.122)
Epoch: [78][6280/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.6915 (1.6604)	Prec@1 54.500 (55.409)	Prec@5 86.000 (84.121)
Epoch: [78][6290/9018]	Time 0.601 (0.620)	Data 0.001 (0.003)	Loss 1.6647 (1.6604)	Prec@1 54.500 (55.408)	Prec@5 84.500 (84.121)
Epoch: [78][6300/9018]	Time 0.603 (0.620)	Data 0.005 (0.003)	Loss 1.3776 (1.6603)	Prec@1 67.500 (55.411)	Prec@5 88.000 (84.122)
Epoch: [78][6310/9018]	Time 0.601 (0.620)	Data 0.001 (0.003)	Loss 1.5818 (1.6604)	Prec@1 53.500 (55.408)	Prec@5 82.500 (84.121)
Epoch: [78][6320/9018]	Time 0.591 (0.620)	Data 0.001 (0.003)	Loss 1.7189 (1.6604)	Prec@1 55.000 (55.405)	Prec@5 84.500 (84.119)
Epoch: [78][6330/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.5999 (1.6605)	Prec@1 54.500 (55.403)	Prec@5 86.000 (84.118)
Epoch: [78][6340/9018]	Time 0.617 (0.620)	Data 0.001 (0.003)	Loss 1.5612 (1.6604)	Prec@1 60.000 (55.405)	Prec@5 86.500 (84.119)
Epoch: [78][6350/9018]	Time 0.628 (0.620)	Data 0.017 (0.003)	Loss 1.6907 (1.6605)	Prec@1 59.000 (55.405)	Prec@5 83.500 (84.117)
Epoch: [78][6360/9018]	Time 0.623 (0.620)	Data 0.001 (0.003)	Loss 1.5034 (1.6605)	Prec@1 57.000 (55.405)	Prec@5 87.000 (84.117)
Epoch: [78][6370/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.6620 (1.6606)	Prec@1 54.000 (55.403)	Prec@5 84.500 (84.116)
Epoch: [78][6380/9018]	Time 0.626 (0.620)	Data 0.001 (0.003)	Loss 1.6066 (1.6606)	Prec@1 57.000 (55.404)	Prec@5 85.000 (84.116)
Epoch: [78][6390/9018]	Time 0.595 (0.620)	Data 0.009 (0.003)	Loss 1.7782 (1.6605)	Prec@1 51.500 (55.405)	Prec@5 79.500 (84.117)
Epoch: [78][6400/9018]	Time 0.624 (0.620)	Data 0.001 (0.003)	Loss 1.6443 (1.6605)	Prec@1 55.000 (55.406)	Prec@5 85.000 (84.118)
Epoch: [78][6410/9018]	Time 0.590 (0.620)	Data 0.001 (0.003)	Loss 1.5665 (1.6605)	Prec@1 53.500 (55.406)	Prec@5 85.500 (84.118)
Epoch: [78][6420/9018]	Time 0.622 (0.620)	Data 0.001 (0.003)	Loss 1.7890 (1.6605)	Prec@1 57.500 (55.407)	Prec@5 83.000 (84.118)
Epoch: [78][6430/9018]	Time 0.590 (0.620)	Data 0.001 (0.003)	Loss 1.8783 (1.6605)	Prec@1 52.000 (55.406)	Prec@5 80.500 (84.118)
Epoch: [78][6440/9018]	Time 0.622 (0.620)	Data 0.001 (0.003)	Loss 1.5469 (1.6605)	Prec@1 55.500 (55.407)	Prec@5 85.000 (84.119)
Epoch: [78][6450/9018]	Time 0.629 (0.620)	Data 0.001 (0.003)	Loss 1.6200 (1.6605)	Prec@1 55.500 (55.405)	Prec@5 86.500 (84.118)
Epoch: [78][6460/9018]	Time 0.624 (0.620)	Data 0.001 (0.003)	Loss 1.5504 (1.6605)	Prec@1 57.500 (55.406)	Prec@5 89.000 (84.118)
Epoch: [78][6470/9018]	Time 0.613 (0.620)	Data 0.001 (0.003)	Loss 1.6781 (1.6605)	Prec@1 56.500 (55.406)	Prec@5 82.500 (84.117)
Epoch: [78][6480/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.5437 (1.6605)	Prec@1 57.500 (55.406)	Prec@5 89.500 (84.117)
Epoch: [78][6490/9018]	Time 0.592 (0.620)	Data 0.001 (0.003)	Loss 1.6997 (1.6605)	Prec@1 58.000 (55.409)	Prec@5 83.500 (84.119)
Epoch: [78][6500/9018]	Time 0.611 (0.620)	Data 0.001 (0.003)	Loss 1.5389 (1.6605)	Prec@1 57.500 (55.409)	Prec@5 84.500 (84.118)
Epoch: [78][6510/9018]	Time 0.600 (0.620)	Data 0.009 (0.003)	Loss 1.8901 (1.6606)	Prec@1 54.500 (55.410)	Prec@5 81.500 (84.118)
Epoch: [78][6520/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.7963 (1.6606)	Prec@1 51.000 (55.411)	Prec@5 86.000 (84.118)
Epoch: [78][6530/9018]	Time 0.602 (0.620)	Data 0.001 (0.003)	Loss 1.7468 (1.6608)	Prec@1 55.000 (55.408)	Prec@5 81.500 (84.114)
Epoch: [78][6540/9018]	Time 0.761 (0.620)	Data 0.001 (0.003)	Loss 1.5509 (1.6608)	Prec@1 59.500 (55.409)	Prec@5 85.000 (84.114)
Epoch: [78][6550/9018]	Time 0.615 (0.620)	Data 0.006 (0.003)	Loss 1.4828 (1.6607)	Prec@1 62.000 (55.411)	Prec@5 87.500 (84.114)
Epoch: [78][6560/9018]	Time 0.623 (0.620)	Data 0.005 (0.003)	Loss 1.6785 (1.6609)	Prec@1 56.000 (55.409)	Prec@5 84.500 (84.112)
Epoch: [78][6570/9018]	Time 0.592 (0.620)	Data 0.001 (0.003)	Loss 1.5717 (1.6609)	Prec@1 60.000 (55.409)	Prec@5 88.000 (84.113)
Epoch: [78][6580/9018]	Time 0.630 (0.620)	Data 0.001 (0.003)	Loss 1.8260 (1.6609)	Prec@1 49.500 (55.406)	Prec@5 80.000 (84.114)
Epoch: [78][6590/9018]	Time 0.753 (0.620)	Data 0.001 (0.003)	Loss 1.4633 (1.6609)	Prec@1 54.500 (55.407)	Prec@5 87.500 (84.115)
Epoch: [78][6600/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.6036 (1.6609)	Prec@1 61.000 (55.408)	Prec@5 86.500 (84.115)
Epoch: [78][6610/9018]	Time 0.601 (0.620)	Data 0.001 (0.003)	Loss 1.7425 (1.6609)	Prec@1 50.500 (55.407)	Prec@5 82.500 (84.116)
Epoch: [78][6620/9018]	Time 0.615 (0.620)	Data 0.001 (0.003)	Loss 1.6200 (1.6608)	Prec@1 58.000 (55.410)	Prec@5 86.000 (84.116)
Epoch: [78][6630/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.6460 (1.6607)	Prec@1 52.500 (55.411)	Prec@5 84.000 (84.117)
Epoch: [78][6640/9018]	Time 0.592 (0.620)	Data 0.001 (0.003)	Loss 2.0051 (1.6607)	Prec@1 47.000 (55.412)	Prec@5 77.500 (84.117)
Epoch: [78][6650/9018]	Time 0.605 (0.620)	Data 0.001 (0.003)	Loss 1.6953 (1.6608)	Prec@1 56.000 (55.411)	Prec@5 82.500 (84.116)
Epoch: [78][6660/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.7812 (1.6608)	Prec@1 53.000 (55.412)	Prec@5 84.500 (84.118)
Epoch: [78][6670/9018]	Time 0.609 (0.620)	Data 0.001 (0.003)	Loss 1.6590 (1.6608)	Prec@1 57.500 (55.410)	Prec@5 82.500 (84.116)
Epoch: [78][6680/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.6223 (1.6608)	Prec@1 57.000 (55.412)	Prec@5 84.000 (84.117)
Epoch: [78][6690/9018]	Time 0.608 (0.620)	Data 0.001 (0.003)	Loss 1.5799 (1.6608)	Prec@1 58.500 (55.412)	Prec@5 87.000 (84.116)
Epoch: [78][6700/9018]	Time 0.618 (0.620)	Data 0.001 (0.003)	Loss 1.8130 (1.6607)	Prec@1 51.500 (55.416)	Prec@5 84.000 (84.118)
Epoch: [78][6710/9018]	Time 0.616 (0.620)	Data 0.001 (0.003)	Loss 1.8065 (1.6608)	Prec@1 51.500 (55.416)	Prec@5 82.000 (84.118)
Epoch: [78][6720/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.8773 (1.6607)	Prec@1 53.000 (55.417)	Prec@5 78.000 (84.117)
Epoch: [78][6730/9018]	Time 0.601 (0.620)	Data 0.001 (0.003)	Loss 1.8650 (1.6608)	Prec@1 53.000 (55.415)	Prec@5 79.000 (84.116)
Epoch: [78][6740/9018]	Time 0.616 (0.620)	Data 0.008 (0.003)	Loss 1.6597 (1.6608)	Prec@1 53.500 (55.416)	Prec@5 81.000 (84.116)
Epoch: [78][6750/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.6020 (1.6608)	Prec@1 59.000 (55.417)	Prec@5 84.500 (84.115)
Epoch: [78][6760/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.6696 (1.6608)	Prec@1 54.000 (55.417)	Prec@5 86.500 (84.113)
Epoch: [78][6770/9018]	Time 0.645 (0.620)	Data 0.001 (0.003)	Loss 1.4783 (1.6608)	Prec@1 58.000 (55.418)	Prec@5 88.000 (84.112)
Epoch: [78][6780/9018]	Time 0.600 (0.620)	Data 0.003 (0.003)	Loss 1.6490 (1.6608)	Prec@1 55.000 (55.416)	Prec@5 85.000 (84.111)
Epoch: [78][6790/9018]	Time 0.600 (0.620)	Data 0.001 (0.003)	Loss 1.6338 (1.6609)	Prec@1 57.000 (55.415)	Prec@5 85.500 (84.109)
Epoch: [78][6800/9018]	Time 0.617 (0.620)	Data 0.001 (0.003)	Loss 1.6081 (1.6608)	Prec@1 58.000 (55.417)	Prec@5 84.500 (84.110)
Epoch: [78][6810/9018]	Time 0.587 (0.620)	Data 0.001 (0.003)	Loss 1.5767 (1.6609)	Prec@1 60.500 (55.416)	Prec@5 84.500 (84.110)
Epoch: [78][6820/9018]	Time 0.779 (0.620)	Data 0.001 (0.003)	Loss 1.6509 (1.6609)	Prec@1 52.000 (55.413)	Prec@5 82.500 (84.110)
Epoch: [78][6830/9018]	Time 0.648 (0.620)	Data 0.001 (0.003)	Loss 1.4838 (1.6609)	Prec@1 61.000 (55.413)	Prec@5 87.000 (84.109)
Epoch: [78][6840/9018]	Time 0.597 (0.620)	Data 0.001 (0.003)	Loss 1.4488 (1.6608)	Prec@1 59.500 (55.414)	Prec@5 85.000 (84.111)
Epoch: [78][6850/9018]	Time 0.615 (0.620)	Data 0.001 (0.003)	Loss 1.5102 (1.6608)	Prec@1 61.500 (55.414)	Prec@5 86.500 (84.112)
Epoch: [78][6860/9018]	Time 0.608 (0.620)	Data 0.001 (0.003)	Loss 1.5385 (1.6608)	Prec@1 54.000 (55.415)	Prec@5 87.000 (84.111)
Epoch: [78][6870/9018]	Time 0.742 (0.620)	Data 0.001 (0.003)	Loss 1.5906 (1.6608)	Prec@1 54.500 (55.412)	Prec@5 89.000 (84.111)
Epoch: [78][6880/9018]	Time 0.617 (0.620)	Data 0.001 (0.003)	Loss 1.6325 (1.6609)	Prec@1 57.500 (55.412)	Prec@5 85.500 (84.109)
Epoch: [78][6890/9018]	Time 0.626 (0.620)	Data 0.005 (0.003)	Loss 1.5910 (1.6609)	Prec@1 57.000 (55.413)	Prec@5 83.500 (84.108)
Epoch: [78][6900/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.7145 (1.6610)	Prec@1 54.000 (55.410)	Prec@5 83.500 (84.104)
Epoch: [78][6910/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.5342 (1.6610)	Prec@1 57.500 (55.410)	Prec@5 86.500 (84.105)
Epoch: [78][6920/9018]	Time 0.608 (0.620)	Data 0.001 (0.003)	Loss 1.6300 (1.6610)	Prec@1 55.000 (55.411)	Prec@5 86.000 (84.104)
Epoch: [78][6930/9018]	Time 0.601 (0.620)	Data 0.001 (0.003)	Loss 1.5494 (1.6611)	Prec@1 56.500 (55.409)	Prec@5 83.000 (84.103)
Epoch: [78][6940/9018]	Time 0.637 (0.620)	Data 0.001 (0.003)	Loss 1.9117 (1.6612)	Prec@1 49.500 (55.408)	Prec@5 82.000 (84.101)
Epoch: [78][6950/9018]	Time 0.615 (0.620)	Data 0.001 (0.003)	Loss 1.4616 (1.6612)	Prec@1 59.500 (55.406)	Prec@5 87.000 (84.103)
Epoch: [78][6960/9018]	Time 0.618 (0.620)	Data 0.001 (0.003)	Loss 1.8093 (1.6613)	Prec@1 52.000 (55.402)	Prec@5 83.500 (84.101)
Epoch: [78][6970/9018]	Time 0.604 (0.620)	Data 0.001 (0.003)	Loss 1.7649 (1.6614)	Prec@1 54.500 (55.399)	Prec@5 80.000 (84.099)
Epoch: [78][6980/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.7766 (1.6614)	Prec@1 57.000 (55.398)	Prec@5 81.500 (84.099)
Epoch: [78][6990/9018]	Time 0.611 (0.620)	Data 0.001 (0.003)	Loss 1.7450 (1.6614)	Prec@1 53.500 (55.399)	Prec@5 83.500 (84.098)
Epoch: [78][7000/9018]	Time 0.608 (0.620)	Data 0.001 (0.003)	Loss 1.8015 (1.6615)	Prec@1 58.500 (55.400)	Prec@5 78.000 (84.097)
Epoch: [78][7010/9018]	Time 0.592 (0.620)	Data 0.003 (0.003)	Loss 1.6128 (1.6616)	Prec@1 57.500 (55.399)	Prec@5 82.500 (84.095)
Epoch: [78][7020/9018]	Time 0.614 (0.620)	Data 0.001 (0.003)	Loss 1.7381 (1.6617)	Prec@1 59.000 (55.398)	Prec@5 81.000 (84.093)
Epoch: [78][7030/9018]	Time 0.614 (0.620)	Data 0.001 (0.003)	Loss 1.5322 (1.6617)	Prec@1 59.000 (55.396)	Prec@5 86.000 (84.093)
Epoch: [78][7040/9018]	Time 0.648 (0.620)	Data 0.001 (0.003)	Loss 1.6117 (1.6617)	Prec@1 56.500 (55.394)	Prec@5 82.500 (84.091)
Epoch: [78][7050/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.3805 (1.6618)	Prec@1 61.000 (55.392)	Prec@5 88.000 (84.091)
Epoch: [78][7060/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.7424 (1.6618)	Prec@1 58.000 (55.393)	Prec@5 83.000 (84.089)
Epoch: [78][7070/9018]	Time 0.628 (0.620)	Data 0.001 (0.003)	Loss 1.9234 (1.6619)	Prec@1 53.000 (55.390)	Prec@5 81.500 (84.088)
Epoch: [78][7080/9018]	Time 0.606 (0.620)	Data 0.001 (0.003)	Loss 1.5995 (1.6619)	Prec@1 57.000 (55.390)	Prec@5 85.500 (84.087)
Epoch: [78][7090/9018]	Time 0.598 (0.620)	Data 0.001 (0.003)	Loss 1.8551 (1.6620)	Prec@1 51.500 (55.389)	Prec@5 79.500 (84.087)
Epoch: [78][7100/9018]	Time 0.617 (0.620)	Data 0.003 (0.003)	Loss 1.6096 (1.6620)	Prec@1 54.000 (55.389)	Prec@5 88.000 (84.087)
Epoch: [78][7110/9018]	Time 0.597 (0.620)	Data 0.001 (0.003)	Loss 1.6408 (1.6620)	Prec@1 57.500 (55.387)	Prec@5 85.000 (84.086)
Epoch: [78][7120/9018]	Time 0.593 (0.620)	Data 0.006 (0.003)	Loss 1.6689 (1.6620)	Prec@1 59.500 (55.389)	Prec@5 83.000 (84.085)
Epoch: [78][7130/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.6436 (1.6620)	Prec@1 57.000 (55.388)	Prec@5 83.000 (84.087)
Epoch: [78][7140/9018]	Time 0.606 (0.620)	Data 0.014 (0.003)	Loss 1.4790 (1.6619)	Prec@1 62.500 (55.392)	Prec@5 86.500 (84.088)
Epoch: [78][7150/9018]	Time 0.799 (0.620)	Data 0.001 (0.003)	Loss 1.8037 (1.6619)	Prec@1 51.000 (55.392)	Prec@5 82.000 (84.088)
Epoch: [78][7160/9018]	Time 0.616 (0.620)	Data 0.003 (0.003)	Loss 1.5774 (1.6619)	Prec@1 55.000 (55.393)	Prec@5 89.000 (84.087)
Epoch: [78][7170/9018]	Time 0.600 (0.620)	Data 0.001 (0.003)	Loss 1.6787 (1.6618)	Prec@1 54.000 (55.396)	Prec@5 84.000 (84.089)
Epoch: [78][7180/9018]	Time 0.616 (0.620)	Data 0.001 (0.003)	Loss 1.6894 (1.6618)	Prec@1 54.500 (55.395)	Prec@5 85.500 (84.090)
Epoch: [78][7190/9018]	Time 0.608 (0.620)	Data 0.017 (0.003)	Loss 1.7455 (1.6619)	Prec@1 54.000 (55.395)	Prec@5 82.000 (84.090)
Epoch: [78][7200/9018]	Time 0.769 (0.620)	Data 0.004 (0.003)	Loss 1.6453 (1.6619)	Prec@1 57.500 (55.396)	Prec@5 87.000 (84.091)
Epoch: [78][7210/9018]	Time 0.605 (0.620)	Data 0.001 (0.003)	Loss 1.5256 (1.6619)	Prec@1 60.500 (55.398)	Prec@5 87.000 (84.090)
Epoch: [78][7220/9018]	Time 0.595 (0.620)	Data 0.017 (0.003)	Loss 1.8042 (1.6620)	Prec@1 54.500 (55.395)	Prec@5 82.000 (84.089)
Epoch: [78][7230/9018]	Time 0.626 (0.620)	Data 0.001 (0.003)	Loss 1.6874 (1.6619)	Prec@1 50.000 (55.394)	Prec@5 86.500 (84.090)
Epoch: [78][7240/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.6921 (1.6620)	Prec@1 57.000 (55.391)	Prec@5 86.500 (84.090)
Epoch: [78][7250/9018]	Time 0.607 (0.620)	Data 0.009 (0.003)	Loss 1.6091 (1.6621)	Prec@1 52.500 (55.389)	Prec@5 86.500 (84.088)
Epoch: [78][7260/9018]	Time 0.628 (0.620)	Data 0.015 (0.003)	Loss 1.4685 (1.6620)	Prec@1 62.000 (55.391)	Prec@5 86.500 (84.090)
Epoch: [78][7270/9018]	Time 0.592 (0.620)	Data 0.001 (0.003)	Loss 1.6028 (1.6620)	Prec@1 56.000 (55.390)	Prec@5 86.500 (84.088)
Epoch: [78][7280/9018]	Time 0.597 (0.620)	Data 0.001 (0.003)	Loss 1.9261 (1.6621)	Prec@1 49.500 (55.390)	Prec@5 77.500 (84.087)
Epoch: [78][7290/9018]	Time 0.609 (0.620)	Data 0.001 (0.003)	Loss 1.8367 (1.6622)	Prec@1 52.500 (55.387)	Prec@5 80.000 (84.085)
Epoch: [78][7300/9018]	Time 0.617 (0.620)	Data 0.001 (0.003)	Loss 1.7381 (1.6622)	Prec@1 51.500 (55.386)	Prec@5 84.000 (84.084)
Epoch: [78][7310/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.7513 (1.6622)	Prec@1 53.500 (55.385)	Prec@5 84.500 (84.084)
Epoch: [78][7320/9018]	Time 0.619 (0.620)	Data 0.001 (0.003)	Loss 1.6474 (1.6621)	Prec@1 57.000 (55.386)	Prec@5 85.500 (84.084)
Epoch: [78][7330/9018]	Time 0.595 (0.620)	Data 0.001 (0.003)	Loss 1.5840 (1.6621)	Prec@1 56.500 (55.389)	Prec@5 85.500 (84.083)
Epoch: [78][7340/9018]	Time 0.617 (0.620)	Data 0.001 (0.003)	Loss 1.5647 (1.6621)	Prec@1 58.000 (55.390)	Prec@5 85.500 (84.082)
Epoch: [78][7350/9018]	Time 0.595 (0.620)	Data 0.001 (0.003)	Loss 1.6188 (1.6621)	Prec@1 53.500 (55.392)	Prec@5 84.500 (84.082)
Epoch: [78][7360/9018]	Time 0.592 (0.620)	Data 0.001 (0.003)	Loss 1.5626 (1.6621)	Prec@1 57.500 (55.394)	Prec@5 86.500 (84.083)
Epoch: [78][7370/9018]	Time 0.594 (0.620)	Data 0.001 (0.003)	Loss 1.6942 (1.6620)	Prec@1 55.000 (55.396)	Prec@5 86.000 (84.085)
Epoch: [78][7380/9018]	Time 0.606 (0.620)	Data 0.001 (0.003)	Loss 1.8022 (1.6620)	Prec@1 53.500 (55.396)	Prec@5 83.000 (84.084)
Epoch: [78][7390/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.6864 (1.6620)	Prec@1 55.500 (55.396)	Prec@5 84.000 (84.084)
Epoch: [78][7400/9018]	Time 0.602 (0.620)	Data 0.001 (0.003)	Loss 1.5729 (1.6620)	Prec@1 55.500 (55.397)	Prec@5 87.000 (84.086)
Epoch: [78][7410/9018]	Time 0.619 (0.620)	Data 0.001 (0.003)	Loss 1.6485 (1.6621)	Prec@1 57.000 (55.395)	Prec@5 84.000 (84.084)
Epoch: [78][7420/9018]	Time 0.638 (0.620)	Data 0.001 (0.003)	Loss 1.5828 (1.6621)	Prec@1 58.500 (55.396)	Prec@5 85.000 (84.083)
Epoch: [78][7430/9018]	Time 0.592 (0.620)	Data 0.001 (0.003)	Loss 1.7592 (1.6621)	Prec@1 55.500 (55.393)	Prec@5 80.000 (84.081)
Epoch: [78][7440/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.6793 (1.6621)	Prec@1 57.000 (55.396)	Prec@5 84.000 (84.081)
Epoch: [78][7450/9018]	Time 0.614 (0.620)	Data 0.010 (0.003)	Loss 1.7036 (1.6621)	Prec@1 54.500 (55.395)	Prec@5 82.500 (84.081)
Epoch: [78][7460/9018]	Time 0.590 (0.620)	Data 0.001 (0.003)	Loss 1.5711 (1.6621)	Prec@1 59.500 (55.395)	Prec@5 85.000 (84.083)
Epoch: [78][7470/9018]	Time 0.587 (0.620)	Data 0.001 (0.003)	Loss 1.6504 (1.6621)	Prec@1 59.000 (55.395)	Prec@5 83.500 (84.082)
Epoch: [78][7480/9018]	Time 0.710 (0.620)	Data 0.001 (0.003)	Loss 1.9040 (1.6622)	Prec@1 51.000 (55.393)	Prec@5 81.000 (84.082)
Epoch: [78][7490/9018]	Time 0.602 (0.620)	Data 0.001 (0.003)	Loss 1.6746 (1.6621)	Prec@1 55.500 (55.395)	Prec@5 85.000 (84.083)
Epoch: [78][7500/9018]	Time 0.616 (0.620)	Data 0.009 (0.003)	Loss 1.7472 (1.6622)	Prec@1 52.500 (55.394)	Prec@5 84.500 (84.083)
Epoch: [78][7510/9018]	Time 0.627 (0.620)	Data 0.001 (0.003)	Loss 1.5159 (1.6622)	Prec@1 60.000 (55.395)	Prec@5 88.000 (84.083)
Epoch: [78][7520/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.6057 (1.6622)	Prec@1 54.000 (55.392)	Prec@5 85.500 (84.081)
Epoch: [78][7530/9018]	Time 0.779 (0.620)	Data 0.001 (0.003)	Loss 1.8611 (1.6622)	Prec@1 54.000 (55.394)	Prec@5 81.500 (84.081)
Epoch: [78][7540/9018]	Time 0.639 (0.620)	Data 0.001 (0.003)	Loss 1.4216 (1.6622)	Prec@1 58.000 (55.392)	Prec@5 89.500 (84.082)
Epoch: [78][7550/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.6924 (1.6622)	Prec@1 53.000 (55.390)	Prec@5 81.500 (84.082)
Epoch: [78][7560/9018]	Time 0.617 (0.620)	Data 0.001 (0.003)	Loss 1.6436 (1.6622)	Prec@1 57.000 (55.392)	Prec@5 84.000 (84.083)
Epoch: [78][7570/9018]	Time 0.630 (0.620)	Data 0.001 (0.003)	Loss 1.5792 (1.6621)	Prec@1 55.500 (55.394)	Prec@5 85.000 (84.084)
Epoch: [78][7580/9018]	Time 0.649 (0.620)	Data 0.001 (0.003)	Loss 1.7489 (1.6622)	Prec@1 55.000 (55.392)	Prec@5 84.500 (84.083)
Epoch: [78][7590/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.6121 (1.6622)	Prec@1 58.000 (55.393)	Prec@5 87.000 (84.083)
Epoch: [78][7600/9018]	Time 0.630 (0.620)	Data 0.002 (0.003)	Loss 1.8393 (1.6623)	Prec@1 47.500 (55.389)	Prec@5 80.000 (84.083)
Epoch: [78][7610/9018]	Time 0.600 (0.620)	Data 0.001 (0.003)	Loss 1.8213 (1.6623)	Prec@1 52.000 (55.387)	Prec@5 81.000 (84.083)
Epoch: [78][7620/9018]	Time 0.605 (0.620)	Data 0.001 (0.003)	Loss 1.6913 (1.6623)	Prec@1 60.000 (55.386)	Prec@5 83.000 (84.082)
Epoch: [78][7630/9018]	Time 0.602 (0.620)	Data 0.001 (0.003)	Loss 1.7159 (1.6624)	Prec@1 54.000 (55.386)	Prec@5 83.000 (84.081)
Epoch: [78][7640/9018]	Time 0.619 (0.620)	Data 0.001 (0.003)	Loss 1.6651 (1.6624)	Prec@1 56.000 (55.386)	Prec@5 84.000 (84.081)
Epoch: [78][7650/9018]	Time 0.609 (0.620)	Data 0.001 (0.003)	Loss 1.7081 (1.6625)	Prec@1 54.000 (55.386)	Prec@5 83.500 (84.079)
Epoch: [78][7660/9018]	Time 0.623 (0.620)	Data 0.001 (0.003)	Loss 1.6108 (1.6624)	Prec@1 53.500 (55.387)	Prec@5 85.500 (84.080)
Epoch: [78][7670/9018]	Time 0.606 (0.620)	Data 0.001 (0.003)	Loss 1.5157 (1.6623)	Prec@1 56.500 (55.388)	Prec@5 88.500 (84.081)
Epoch: [78][7680/9018]	Time 0.614 (0.620)	Data 0.001 (0.003)	Loss 1.7052 (1.6624)	Prec@1 56.000 (55.386)	Prec@5 85.000 (84.081)
Epoch: [78][7690/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.8742 (1.6624)	Prec@1 54.500 (55.387)	Prec@5 82.500 (84.082)
Epoch: [78][7700/9018]	Time 0.590 (0.620)	Data 0.001 (0.003)	Loss 1.8239 (1.6624)	Prec@1 54.500 (55.388)	Prec@5 82.000 (84.082)
Epoch: [78][7710/9018]	Time 0.607 (0.620)	Data 0.001 (0.003)	Loss 1.7218 (1.6624)	Prec@1 55.500 (55.387)	Prec@5 80.000 (84.081)
Epoch: [78][7720/9018]	Time 0.616 (0.620)	Data 0.001 (0.003)	Loss 1.7708 (1.6625)	Prec@1 50.000 (55.387)	Prec@5 83.000 (84.080)
Epoch: [78][7730/9018]	Time 0.625 (0.620)	Data 0.001 (0.003)	Loss 1.7413 (1.6625)	Prec@1 53.000 (55.386)	Prec@5 84.000 (84.080)
Epoch: [78][7740/9018]	Time 0.623 (0.620)	Data 0.001 (0.003)	Loss 1.8124 (1.6625)	Prec@1 51.500 (55.386)	Prec@5 80.000 (84.080)
Epoch: [78][7750/9018]	Time 0.591 (0.620)	Data 0.001 (0.003)	Loss 1.4879 (1.6625)	Prec@1 56.500 (55.385)	Prec@5 87.000 (84.081)
Epoch: [78][7760/9018]	Time 0.635 (0.620)	Data 0.014 (0.003)	Loss 1.8628 (1.6625)	Prec@1 52.000 (55.386)	Prec@5 80.000 (84.081)
Epoch: [78][7770/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.6609 (1.6625)	Prec@1 55.000 (55.386)	Prec@5 85.500 (84.081)
Epoch: [78][7780/9018]	Time 0.627 (0.620)	Data 0.001 (0.003)	Loss 1.6765 (1.6625)	Prec@1 54.500 (55.385)	Prec@5 83.500 (84.081)
Epoch: [78][7790/9018]	Time 0.609 (0.620)	Data 0.001 (0.003)	Loss 1.5484 (1.6626)	Prec@1 58.000 (55.383)	Prec@5 88.500 (84.081)
Epoch: [78][7800/9018]	Time 0.602 (0.620)	Data 0.001 (0.003)	Loss 1.4936 (1.6626)	Prec@1 59.500 (55.382)	Prec@5 88.500 (84.081)
Epoch: [78][7810/9018]	Time 0.723 (0.620)	Data 0.001 (0.003)	Loss 1.6227 (1.6626)	Prec@1 58.500 (55.380)	Prec@5 85.500 (84.080)
Epoch: [78][7820/9018]	Time 0.617 (0.620)	Data 0.001 (0.003)	Loss 1.8602 (1.6627)	Prec@1 52.500 (55.379)	Prec@5 80.000 (84.079)
Epoch: [78][7830/9018]	Time 0.611 (0.620)	Data 0.001 (0.003)	Loss 1.7842 (1.6627)	Prec@1 56.500 (55.378)	Prec@5 83.500 (84.078)
Epoch: [78][7840/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.8614 (1.6627)	Prec@1 50.000 (55.378)	Prec@5 81.000 (84.078)
Epoch: [78][7850/9018]	Time 0.604 (0.620)	Data 0.001 (0.003)	Loss 1.5478 (1.6627)	Prec@1 59.000 (55.379)	Prec@5 83.500 (84.077)
Epoch: [78][7860/9018]	Time 0.764 (0.620)	Data 0.001 (0.003)	Loss 1.6425 (1.6627)	Prec@1 55.000 (55.382)	Prec@5 83.500 (84.078)
Epoch: [78][7870/9018]	Time 0.598 (0.620)	Data 0.001 (0.003)	Loss 1.7297 (1.6627)	Prec@1 53.000 (55.382)	Prec@5 83.000 (84.079)
Epoch: [78][7880/9018]	Time 0.623 (0.620)	Data 0.001 (0.003)	Loss 1.4189 (1.6627)	Prec@1 60.500 (55.383)	Prec@5 92.500 (84.078)
Epoch: [78][7890/9018]	Time 0.602 (0.620)	Data 0.001 (0.003)	Loss 1.6923 (1.6627)	Prec@1 49.500 (55.382)	Prec@5 85.000 (84.078)
Epoch: [78][7900/9018]	Time 0.595 (0.620)	Data 0.001 (0.003)	Loss 1.7664 (1.6627)	Prec@1 52.500 (55.384)	Prec@5 82.500 (84.078)
Epoch: [78][7910/9018]	Time 0.599 (0.620)	Data 0.001 (0.003)	Loss 1.5749 (1.6627)	Prec@1 57.500 (55.384)	Prec@5 86.000 (84.078)
Epoch: [78][7920/9018]	Time 0.595 (0.620)	Data 0.001 (0.003)	Loss 1.4704 (1.6627)	Prec@1 60.500 (55.382)	Prec@5 90.500 (84.077)
Epoch: [78][7930/9018]	Time 0.607 (0.620)	Data 0.001 (0.003)	Loss 1.7139 (1.6626)	Prec@1 53.500 (55.383)	Prec@5 85.500 (84.079)
Epoch: [78][7940/9018]	Time 0.600 (0.620)	Data 0.001 (0.003)	Loss 1.5736 (1.6626)	Prec@1 57.000 (55.384)	Prec@5 85.000 (84.079)
Epoch: [78][7950/9018]	Time 0.594 (0.620)	Data 0.001 (0.003)	Loss 1.6602 (1.6626)	Prec@1 61.000 (55.385)	Prec@5 85.500 (84.079)
Epoch: [78][7960/9018]	Time 0.641 (0.620)	Data 0.001 (0.003)	Loss 1.8098 (1.6626)	Prec@1 52.000 (55.384)	Prec@5 80.500 (84.079)
Epoch: [78][7970/9018]	Time 0.610 (0.620)	Data 0.001 (0.003)	Loss 1.5887 (1.6626)	Prec@1 59.500 (55.384)	Prec@5 86.000 (84.078)
Epoch: [78][7980/9018]	Time 0.604 (0.620)	Data 0.001 (0.003)	Loss 1.6894 (1.6625)	Prec@1 53.500 (55.387)	Prec@5 86.000 (84.081)
Epoch: [78][7990/9018]	Time 0.600 (0.620)	Data 0.001 (0.003)	Loss 1.5584 (1.6625)	Prec@1 61.500 (55.389)	Prec@5 84.000 (84.080)
Epoch: [78][8000/9018]	Time 0.597 (0.620)	Data 0.015 (0.003)	Loss 1.5899 (1.6625)	Prec@1 58.000 (55.389)	Prec@5 86.000 (84.079)
Epoch: [78][8010/9018]	Time 0.591 (0.620)	Data 0.001 (0.003)	Loss 1.5328 (1.6624)	Prec@1 57.000 (55.390)	Prec@5 86.000 (84.080)
Epoch: [78][8020/9018]	Time 0.602 (0.620)	Data 0.001 (0.003)	Loss 1.6935 (1.6624)	Prec@1 52.000 (55.390)	Prec@5 84.000 (84.079)
Epoch: [78][8030/9018]	Time 0.600 (0.620)	Data 0.001 (0.003)	Loss 1.5325 (1.6624)	Prec@1 62.000 (55.390)	Prec@5 85.500 (84.079)
Epoch: [78][8040/9018]	Time 0.608 (0.620)	Data 0.001 (0.003)	Loss 1.7744 (1.6625)	Prec@1 51.500 (55.389)	Prec@5 81.000 (84.079)
Epoch: [78][8050/9018]	Time 0.616 (0.620)	Data 0.014 (0.003)	Loss 1.6287 (1.6624)	Prec@1 54.500 (55.391)	Prec@5 87.000 (84.079)
Epoch: [78][8060/9018]	Time 0.618 (0.620)	Data 0.001 (0.003)	Loss 1.9327 (1.6625)	Prec@1 54.500 (55.389)	Prec@5 78.500 (84.077)
Epoch: [78][8070/9018]	Time 0.601 (0.620)	Data 0.015 (0.003)	Loss 1.7538 (1.6625)	Prec@1 56.000 (55.392)	Prec@5 83.000 (84.078)
Epoch: [78][8080/9018]	Time 0.608 (0.620)	Data 0.001 (0.003)	Loss 1.8121 (1.6626)	Prec@1 56.000 (55.390)	Prec@5 79.500 (84.076)
Epoch: [78][8090/9018]	Time 0.590 (0.620)	Data 0.001 (0.003)	Loss 1.6478 (1.6626)	Prec@1 61.000 (55.390)	Prec@5 83.500 (84.075)
Epoch: [78][8100/9018]	Time 0.591 (0.620)	Data 0.001 (0.003)	Loss 1.6104 (1.6626)	Prec@1 57.000 (55.390)	Prec@5 82.500 (84.075)
Epoch: [78][8110/9018]	Time 0.586 (0.620)	Data 0.001 (0.003)	Loss 1.5461 (1.6626)	Prec@1 57.500 (55.389)	Prec@5 87.000 (84.075)
Epoch: [78][8120/9018]	Time 0.618 (0.620)	Data 0.001 (0.003)	Loss 1.5866 (1.6627)	Prec@1 52.500 (55.388)	Prec@5 89.000 (84.074)
Epoch: [78][8130/9018]	Time 0.607 (0.620)	Data 0.001 (0.003)	Loss 1.5228 (1.6627)	Prec@1 60.500 (55.386)	Prec@5 86.500 (84.073)
Epoch: [78][8140/9018]	Time 0.751 (0.620)	Data 0.001 (0.003)	Loss 1.7029 (1.6627)	Prec@1 55.500 (55.388)	Prec@5 81.500 (84.072)
Epoch: [78][8150/9018]	Time 0.614 (0.620)	Data 0.017 (0.003)	Loss 1.7261 (1.6627)	Prec@1 55.500 (55.389)	Prec@5 83.000 (84.073)
Epoch: [78][8160/9018]	Time 0.601 (0.620)	Data 0.001 (0.003)	Loss 1.6562 (1.6627)	Prec@1 56.000 (55.388)	Prec@5 86.500 (84.072)
Epoch: [78][8170/9018]	Time 0.610 (0.620)	Data 0.001 (0.003)	Loss 1.6202 (1.6628)	Prec@1 63.500 (55.388)	Prec@5 85.000 (84.071)
Epoch: [78][8180/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.6952 (1.6629)	Prec@1 53.000 (55.386)	Prec@5 84.000 (84.068)
Epoch: [78][8190/9018]	Time 0.725 (0.620)	Data 0.001 (0.003)	Loss 1.4835 (1.6629)	Prec@1 59.000 (55.387)	Prec@5 85.000 (84.069)
Epoch: [78][8200/9018]	Time 0.613 (0.620)	Data 0.001 (0.003)	Loss 1.6707 (1.6629)	Prec@1 54.500 (55.387)	Prec@5 86.000 (84.068)
Epoch: [78][8210/9018]	Time 0.600 (0.620)	Data 0.001 (0.003)	Loss 1.5154 (1.6629)	Prec@1 58.500 (55.387)	Prec@5 86.000 (84.069)
Epoch: [78][8220/9018]	Time 0.609 (0.620)	Data 0.014 (0.003)	Loss 1.7649 (1.6629)	Prec@1 53.500 (55.389)	Prec@5 81.500 (84.068)
Epoch: [78][8230/9018]	Time 0.601 (0.620)	Data 0.001 (0.003)	Loss 1.7830 (1.6629)	Prec@1 53.000 (55.389)	Prec@5 83.500 (84.068)
Epoch: [78][8240/9018]	Time 0.632 (0.620)	Data 0.001 (0.003)	Loss 1.7618 (1.6628)	Prec@1 58.500 (55.392)	Prec@5 82.000 (84.068)
Epoch: [78][8250/9018]	Time 0.606 (0.620)	Data 0.001 (0.003)	Loss 1.8789 (1.6628)	Prec@1 47.000 (55.392)	Prec@5 83.500 (84.068)
Epoch: [78][8260/9018]	Time 0.619 (0.620)	Data 0.001 (0.003)	Loss 1.5844 (1.6629)	Prec@1 59.000 (55.391)	Prec@5 84.000 (84.068)
Epoch: [78][8270/9018]	Time 0.594 (0.620)	Data 0.001 (0.003)	Loss 1.5817 (1.6628)	Prec@1 52.500 (55.392)	Prec@5 85.500 (84.069)
Epoch: [78][8280/9018]	Time 0.599 (0.620)	Data 0.001 (0.003)	Loss 1.3661 (1.6628)	Prec@1 58.500 (55.393)	Prec@5 88.500 (84.069)
Epoch: [78][8290/9018]	Time 0.619 (0.620)	Data 0.001 (0.003)	Loss 1.6425 (1.6628)	Prec@1 55.000 (55.393)	Prec@5 82.500 (84.069)
Epoch: [78][8300/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.5665 (1.6629)	Prec@1 61.500 (55.394)	Prec@5 86.500 (84.068)
Epoch: [78][8310/9018]	Time 0.625 (0.620)	Data 0.001 (0.003)	Loss 1.7632 (1.6628)	Prec@1 51.500 (55.394)	Prec@5 81.500 (84.068)
Epoch: [78][8320/9018]	Time 0.594 (0.620)	Data 0.001 (0.003)	Loss 1.7169 (1.6629)	Prec@1 55.500 (55.395)	Prec@5 85.000 (84.067)
Epoch: [78][8330/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.7121 (1.6629)	Prec@1 54.000 (55.396)	Prec@5 84.500 (84.067)
Epoch: [78][8340/9018]	Time 0.614 (0.620)	Data 0.001 (0.003)	Loss 1.7541 (1.6629)	Prec@1 51.500 (55.396)	Prec@5 84.000 (84.066)
Epoch: [78][8350/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.6308 (1.6629)	Prec@1 56.000 (55.397)	Prec@5 84.500 (84.066)
Epoch: [78][8360/9018]	Time 0.624 (0.620)	Data 0.001 (0.003)	Loss 1.5760 (1.6629)	Prec@1 59.000 (55.398)	Prec@5 84.000 (84.066)
Epoch: [78][8370/9018]	Time 0.606 (0.620)	Data 0.001 (0.003)	Loss 1.5892 (1.6629)	Prec@1 56.500 (55.398)	Prec@5 84.500 (84.065)
Epoch: [78][8380/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.7589 (1.6629)	Prec@1 51.500 (55.397)	Prec@5 79.500 (84.065)
Epoch: [78][8390/9018]	Time 0.622 (0.620)	Data 0.008 (0.003)	Loss 1.6943 (1.6630)	Prec@1 55.000 (55.397)	Prec@5 84.000 (84.064)
Epoch: [78][8400/9018]	Time 0.626 (0.620)	Data 0.001 (0.003)	Loss 1.8559 (1.6630)	Prec@1 52.500 (55.396)	Prec@5 79.500 (84.063)
Epoch: [78][8410/9018]	Time 0.601 (0.620)	Data 0.001 (0.003)	Loss 1.3983 (1.6630)	Prec@1 64.000 (55.397)	Prec@5 87.500 (84.063)
Epoch: [78][8420/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.6505 (1.6630)	Prec@1 56.500 (55.398)	Prec@5 86.500 (84.063)
Epoch: [78][8430/9018]	Time 0.614 (0.620)	Data 0.001 (0.003)	Loss 1.5620 (1.6630)	Prec@1 57.500 (55.399)	Prec@5 84.500 (84.062)
Epoch: [78][8440/9018]	Time 0.626 (0.620)	Data 0.001 (0.003)	Loss 1.5181 (1.6630)	Prec@1 58.000 (55.398)	Prec@5 84.000 (84.062)
Epoch: [78][8450/9018]	Time 0.618 (0.620)	Data 0.001 (0.003)	Loss 1.6788 (1.6630)	Prec@1 55.500 (55.398)	Prec@5 86.000 (84.063)
Epoch: [78][8460/9018]	Time 0.624 (0.620)	Data 0.001 (0.003)	Loss 1.7069 (1.6630)	Prec@1 57.000 (55.398)	Prec@5 81.000 (84.063)
Epoch: [78][8470/9018]	Time 0.759 (0.620)	Data 0.001 (0.003)	Loss 1.7970 (1.6630)	Prec@1 51.500 (55.398)	Prec@5 79.000 (84.061)
Epoch: [78][8480/9018]	Time 0.590 (0.620)	Data 0.001 (0.003)	Loss 1.6661 (1.6630)	Prec@1 55.000 (55.398)	Prec@5 85.000 (84.062)
Epoch: [78][8490/9018]	Time 0.613 (0.620)	Data 0.001 (0.003)	Loss 1.7025 (1.6630)	Prec@1 54.500 (55.398)	Prec@5 82.500 (84.061)
Epoch: [78][8500/9018]	Time 0.628 (0.620)	Data 0.017 (0.003)	Loss 1.5659 (1.6631)	Prec@1 60.000 (55.398)	Prec@5 85.500 (84.061)
Epoch: [78][8510/9018]	Time 0.615 (0.620)	Data 0.002 (0.003)	Loss 1.6683 (1.6631)	Prec@1 55.500 (55.398)	Prec@5 84.000 (84.060)
Epoch: [78][8520/9018]	Time 0.756 (0.620)	Data 0.001 (0.003)	Loss 1.7585 (1.6630)	Prec@1 57.000 (55.400)	Prec@5 82.500 (84.061)
Epoch: [78][8530/9018]	Time 0.598 (0.620)	Data 0.001 (0.003)	Loss 1.4524 (1.6631)	Prec@1 58.000 (55.398)	Prec@5 89.000 (84.062)
Epoch: [78][8540/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.5217 (1.6630)	Prec@1 55.000 (55.397)	Prec@5 89.000 (84.062)
Epoch: [78][8550/9018]	Time 0.592 (0.620)	Data 0.001 (0.003)	Loss 1.7368 (1.6630)	Prec@1 53.000 (55.396)	Prec@5 86.500 (84.063)
Epoch: [78][8560/9018]	Time 0.642 (0.620)	Data 0.017 (0.003)	Loss 1.7174 (1.6631)	Prec@1 53.500 (55.395)	Prec@5 86.000 (84.061)
Epoch: [78][8570/9018]	Time 0.627 (0.620)	Data 0.001 (0.003)	Loss 1.7120 (1.6631)	Prec@1 54.500 (55.393)	Prec@5 84.500 (84.063)
Epoch: [78][8580/9018]	Time 0.612 (0.620)	Data 0.001 (0.003)	Loss 1.6222 (1.6631)	Prec@1 57.500 (55.394)	Prec@5 84.500 (84.063)
Epoch: [78][8590/9018]	Time 0.594 (0.620)	Data 0.001 (0.003)	Loss 1.5996 (1.6632)	Prec@1 56.000 (55.391)	Prec@5 87.500 (84.061)
Epoch: [78][8600/9018]	Time 0.594 (0.620)	Data 0.001 (0.003)	Loss 1.7375 (1.6633)	Prec@1 52.500 (55.389)	Prec@5 85.500 (84.060)
Epoch: [78][8610/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.5369 (1.6632)	Prec@1 54.500 (55.390)	Prec@5 90.000 (84.061)
Epoch: [78][8620/9018]	Time 0.605 (0.620)	Data 0.003 (0.003)	Loss 1.5565 (1.6632)	Prec@1 61.500 (55.391)	Prec@5 84.500 (84.062)
Epoch: [78][8630/9018]	Time 0.591 (0.620)	Data 0.001 (0.003)	Loss 1.9061 (1.6633)	Prec@1 48.500 (55.389)	Prec@5 81.000 (84.060)
Epoch: [78][8640/9018]	Time 0.607 (0.620)	Data 0.001 (0.003)	Loss 1.9035 (1.6634)	Prec@1 54.000 (55.387)	Prec@5 80.000 (84.059)
Epoch: [78][8650/9018]	Time 0.602 (0.620)	Data 0.001 (0.003)	Loss 1.4437 (1.6634)	Prec@1 60.000 (55.385)	Prec@5 86.000 (84.059)
Epoch: [78][8660/9018]	Time 0.607 (0.620)	Data 0.001 (0.003)	Loss 1.8778 (1.6635)	Prec@1 50.500 (55.385)	Prec@5 84.000 (84.059)
Epoch: [78][8670/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.7434 (1.6635)	Prec@1 55.500 (55.387)	Prec@5 86.500 (84.058)
Epoch: [78][8680/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.6767 (1.6635)	Prec@1 53.000 (55.388)	Prec@5 87.500 (84.059)
Epoch: [78][8690/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.6139 (1.6634)	Prec@1 58.000 (55.389)	Prec@5 84.500 (84.060)
Epoch: [78][8700/9018]	Time 0.603 (0.620)	Data 0.001 (0.003)	Loss 1.8753 (1.6635)	Prec@1 56.500 (55.389)	Prec@5 79.500 (84.060)
Epoch: [78][8710/9018]	Time 0.620 (0.620)	Data 0.009 (0.003)	Loss 1.6509 (1.6634)	Prec@1 52.500 (55.389)	Prec@5 84.000 (84.060)
Epoch: [78][8720/9018]	Time 0.608 (0.620)	Data 0.001 (0.003)	Loss 1.8229 (1.6634)	Prec@1 52.000 (55.391)	Prec@5 82.000 (84.059)
Epoch: [78][8730/9018]	Time 0.616 (0.620)	Data 0.001 (0.003)	Loss 1.5804 (1.6635)	Prec@1 58.000 (55.388)	Prec@5 83.500 (84.058)
Epoch: [78][8740/9018]	Time 0.593 (0.620)	Data 0.001 (0.003)	Loss 1.8412 (1.6636)	Prec@1 50.000 (55.386)	Prec@5 79.000 (84.057)
Epoch: [78][8750/9018]	Time 0.635 (0.620)	Data 0.001 (0.003)	Loss 1.8596 (1.6635)	Prec@1 54.500 (55.385)	Prec@5 83.000 (84.058)
Epoch: [78][8760/9018]	Time 0.615 (0.620)	Data 0.001 (0.003)	Loss 1.7300 (1.6635)	Prec@1 53.500 (55.388)	Prec@5 83.000 (84.058)
Epoch: [78][8770/9018]	Time 0.604 (0.620)	Data 0.001 (0.003)	Loss 1.7636 (1.6635)	Prec@1 54.500 (55.387)	Prec@5 81.500 (84.058)
Epoch: [78][8780/9018]	Time 0.616 (0.620)	Data 0.001 (0.003)	Loss 1.6102 (1.6635)	Prec@1 55.500 (55.387)	Prec@5 83.500 (84.058)
Epoch: [78][8790/9018]	Time 0.608 (0.620)	Data 0.001 (0.003)	Loss 1.7120 (1.6635)	Prec@1 56.500 (55.388)	Prec@5 83.500 (84.058)
Epoch: [78][8800/9018]	Time 0.714 (0.620)	Data 0.001 (0.003)	Loss 1.6548 (1.6635)	Prec@1 54.000 (55.388)	Prec@5 85.500 (84.058)
Epoch: [78][8810/9018]	Time 0.634 (0.620)	Data 0.001 (0.003)	Loss 1.4908 (1.6635)	Prec@1 59.500 (55.387)	Prec@5 87.000 (84.058)
Epoch: [78][8820/9018]	Time 0.610 (0.620)	Data 0.001 (0.003)	Loss 1.7945 (1.6635)	Prec@1 49.000 (55.386)	Prec@5 79.500 (84.060)
Epoch: [78][8830/9018]	Time 0.616 (0.620)	Data 0.001 (0.003)	Loss 1.6498 (1.6635)	Prec@1 55.000 (55.384)	Prec@5 86.000 (84.060)
Epoch: [78][8840/9018]	Time 0.595 (0.620)	Data 0.001 (0.003)	Loss 1.7905 (1.6635)	Prec@1 57.000 (55.384)	Prec@5 80.500 (84.060)
Epoch: [78][8850/9018]	Time 0.721 (0.620)	Data 0.001 (0.003)	Loss 1.7064 (1.6635)	Prec@1 53.000 (55.384)	Prec@5 85.000 (84.060)
Epoch: [78][8860/9018]	Time 0.615 (0.620)	Data 0.001 (0.003)	Loss 1.7321 (1.6634)	Prec@1 55.000 (55.386)	Prec@5 83.000 (84.061)
Epoch: [78][8870/9018]	Time 0.600 (0.620)	Data 0.002 (0.003)	Loss 1.6714 (1.6634)	Prec@1 57.000 (55.384)	Prec@5 83.500 (84.062)
Epoch: [78][8880/9018]	Time 0.657 (0.620)	Data 0.016 (0.003)	Loss 1.5848 (1.6634)	Prec@1 52.000 (55.385)	Prec@5 85.500 (84.062)
Epoch: [78][8890/9018]	Time 0.597 (0.620)	Data 0.001 (0.003)	Loss 1.7332 (1.6634)	Prec@1 51.500 (55.385)	Prec@5 85.000 (84.063)
Epoch: [78][8900/9018]	Time 0.621 (0.620)	Data 0.001 (0.003)	Loss 1.6234 (1.6634)	Prec@1 55.500 (55.384)	Prec@5 86.500 (84.063)
Epoch: [78][8910/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.6005 (1.6634)	Prec@1 58.500 (55.386)	Prec@5 84.000 (84.063)
Epoch: [78][8920/9018]	Time 0.601 (0.620)	Data 0.001 (0.003)	Loss 1.9480 (1.6633)	Prec@1 50.500 (55.386)	Prec@5 79.500 (84.064)
Epoch: [78][8930/9018]	Time 0.596 (0.620)	Data 0.001 (0.003)	Loss 1.6907 (1.6634)	Prec@1 53.000 (55.386)	Prec@5 87.000 (84.064)
Epoch: [78][8940/9018]	Time 0.616 (0.620)	Data 0.001 (0.003)	Loss 1.5756 (1.6634)	Prec@1 55.000 (55.385)	Prec@5 87.500 (84.064)
Epoch: [78][8950/9018]	Time 0.631 (0.620)	Data 0.001 (0.003)	Loss 1.6151 (1.6633)	Prec@1 53.500 (55.386)	Prec@5 88.500 (84.065)
Epoch: [78][8960/9018]	Time 0.606 (0.620)	Data 0.001 (0.003)	Loss 1.8192 (1.6634)	Prec@1 50.500 (55.386)	Prec@5 81.000 (84.064)
Epoch: [78][8970/9018]	Time 0.610 (0.620)	Data 0.001 (0.003)	Loss 1.7346 (1.6634)	Prec@1 53.500 (55.386)	Prec@5 83.000 (84.064)
Epoch: [78][8980/9018]	Time 0.609 (0.620)	Data 0.014 (0.003)	Loss 1.4734 (1.6633)	Prec@1 58.500 (55.386)	Prec@5 86.500 (84.064)
Epoch: [78][8990/9018]	Time 0.591 (0.620)	Data 0.001 (0.003)	Loss 1.7608 (1.6634)	Prec@1 51.500 (55.387)	Prec@5 80.500 (84.064)
Epoch: [78][9000/9018]	Time 0.590 (0.620)	Data 0.001 (0.003)	Loss 1.7421 (1.6634)	Prec@1 54.500 (55.386)	Prec@5 79.000 (84.062)
Epoch: [78][9010/9018]	Time 0.589 (0.619)	Data 0.000 (0.003)	Loss 1.7576 (1.6634)	Prec@1 58.500 (55.386)	Prec@5 82.000 (84.063)
Test: [0/183]	Time 1.594 (1.594)	Loss 2.3206 (2.3206)	Prec@1 35.500 (35.500)	Prec@5 75.500 (75.500)
Test: [10/183]	Time 0.236 (0.326)	Loss 1.4733 (1.6101)	Prec@1 64.000 (57.091)	Prec@5 87.500 (86.864)
Test: [20/183]	Time 0.186 (0.274)	Loss 1.9745 (1.5994)	Prec@1 50.000 (57.095)	Prec@5 82.000 (86.476)
Test: [30/183]	Time 0.243 (0.251)	Loss 2.1896 (1.6037)	Prec@1 38.000 (56.468)	Prec@5 79.000 (86.645)
Test: [40/183]	Time 0.230 (0.239)	Loss 2.3275 (1.6125)	Prec@1 35.500 (56.707)	Prec@5 78.000 (85.927)
Test: [50/183]	Time 0.228 (0.233)	Loss 1.4144 (1.5864)	Prec@1 61.500 (57.255)	Prec@5 88.000 (86.157)
Test: [60/183]	Time 0.195 (0.228)	Loss 1.9879 (1.6548)	Prec@1 49.000 (55.246)	Prec@5 77.500 (85.262)
Test: [70/183]	Time 0.188 (0.225)	Loss 1.6892 (1.6435)	Prec@1 53.000 (55.352)	Prec@5 86.000 (85.606)
Test: [80/183]	Time 0.247 (0.222)	Loss 1.4219 (1.6258)	Prec@1 56.500 (55.438)	Prec@5 93.500 (85.895)
Test: [90/183]	Time 0.192 (0.219)	Loss 2.1311 (1.6227)	Prec@1 44.500 (55.637)	Prec@5 75.500 (85.912)
Test: [100/183]	Time 0.207 (0.219)	Loss 0.7965 (1.6278)	Prec@1 75.000 (55.599)	Prec@5 95.000 (85.847)
Test: [110/183]	Time 0.201 (0.216)	Loss 0.7117 (1.6327)	Prec@1 82.000 (55.473)	Prec@5 96.500 (85.734)
Test: [120/183]	Time 0.213 (0.215)	Loss 2.1317 (1.6379)	Prec@1 45.000 (55.264)	Prec@5 75.500 (85.694)
Test: [130/183]	Time 0.272 (0.214)	Loss 2.8837 (1.6470)	Prec@1 22.000 (55.038)	Prec@5 73.500 (85.737)
Test: [140/183]	Time 0.189 (0.213)	Loss 1.5107 (1.6388)	Prec@1 63.000 (55.284)	Prec@5 87.500 (85.816)
Test: [150/183]	Time 0.202 (0.213)	Loss 0.5992 (1.6384)	Prec@1 83.000 (55.377)	Prec@5 98.500 (85.841)
Test: [160/183]	Time 0.222 (0.212)	Loss 1.6296 (1.6357)	Prec@1 53.000 (55.578)	Prec@5 85.000 (85.854)
Test: [170/183]	Time 0.210 (0.212)	Loss 2.0488 (1.6509)	Prec@1 36.500 (55.175)	Prec@5 86.500 (85.684)
Test: [180/183]	Time 0.276 (0.211)	Loss 1.9809 (1.6594)	Prec@1 45.500 (54.994)	Prec@5 83.500 (85.564)
 * Prec@1 54.978 Prec@5 85.553
Epoch: [79][0/9018]	Time 3.181 (3.181)	Data 2.553 (2.553)	Loss 1.3437 (1.3437)	Prec@1 62.500 (62.500)	Prec@5 89.000 (89.000)
Epoch: [79][10/9018]	Time 0.594 (0.839)	Data 0.001 (0.233)	Loss 1.7084 (1.6467)	Prec@1 52.500 (55.000)	Prec@5 85.000 (84.909)
Epoch: [79][20/9018]	Time 0.599 (0.737)	Data 0.001 (0.122)	Loss 1.5986 (1.6341)	Prec@1 52.500 (55.024)	Prec@5 86.000 (84.833)
Epoch: [79][30/9018]	Time 0.603 (0.698)	Data 0.001 (0.083)	Loss 1.5730 (1.6531)	Prec@1 55.500 (54.694)	Prec@5 82.500 (84.355)
Epoch: [79][40/9018]	Time 0.621 (0.676)	Data 0.001 (0.063)	Loss 1.7789 (1.6474)	Prec@1 53.500 (55.037)	Prec@5 82.500 (84.390)
Epoch: [79][50/9018]	Time 0.597 (0.664)	Data 0.001 (0.051)	Loss 1.6992 (1.6395)	Prec@1 56.000 (55.451)	Prec@5 84.000 (84.500)
Epoch: [79][60/9018]	Time 0.618 (0.655)	Data 0.001 (0.043)	Loss 1.5716 (1.6213)	Prec@1 59.000 (55.992)	Prec@5 87.000 (84.893)
Epoch: [79][70/9018]	Time 0.619 (0.650)	Data 0.001 (0.038)	Loss 1.5372 (1.6098)	Prec@1 59.000 (56.352)	Prec@5 85.000 (84.951)
Epoch: [79][80/9018]	Time 0.598 (0.646)	Data 0.003 (0.033)	Loss 1.3688 (1.6204)	Prec@1 65.000 (56.210)	Prec@5 86.500 (84.784)
Epoch: [79][90/9018]	Time 0.602 (0.642)	Data 0.015 (0.030)	Loss 1.6035 (1.6262)	Prec@1 56.500 (56.181)	Prec@5 86.000 (84.813)
Epoch: [79][100/9018]	Time 0.607 (0.640)	Data 0.001 (0.027)	Loss 1.4178 (1.6283)	Prec@1 61.000 (56.124)	Prec@5 87.000 (84.757)
Epoch: [79][110/9018]	Time 0.592 (0.637)	Data 0.001 (0.025)	Loss 1.6680 (1.6297)	Prec@1 55.000 (56.032)	Prec@5 80.000 (84.739)
Epoch: [79][120/9018]	Time 0.618 (0.635)	Data 0.001 (0.023)	Loss 1.6428 (1.6294)	Prec@1 55.000 (56.050)	Prec@5 83.500 (84.744)
Epoch: [79][130/9018]	Time 0.605 (0.635)	Data 0.001 (0.021)	Loss 1.7735 (1.6332)	Prec@1 51.000 (55.920)	Prec@5 82.500 (84.672)
Epoch: [79][140/9018]	Time 0.625 (0.633)	Data 0.001 (0.020)	Loss 1.5044 (1.6355)	Prec@1 56.000 (55.940)	Prec@5 85.500 (84.564)
Epoch: [79][150/9018]	Time 0.608 (0.633)	Data 0.016 (0.019)	Loss 1.4931 (1.6357)	Prec@1 61.000 (56.066)	Prec@5 83.500 (84.596)
Epoch: [79][160/9018]	Time 0.609 (0.631)	Data 0.001 (0.018)	Loss 1.7543 (1.6330)	Prec@1 54.500 (56.158)	Prec@5 83.500 (84.693)
Epoch: [79][170/9018]	Time 0.621 (0.631)	Data 0.020 (0.017)	Loss 1.5587 (1.6337)	Prec@1 57.000 (56.196)	Prec@5 85.000 (84.696)
Epoch: [79][180/9018]	Time 0.599 (0.630)	Data 0.003 (0.016)	Loss 1.6152 (1.6347)	Prec@1 53.500 (56.094)	Prec@5 84.500 (84.657)
Epoch: [79][190/9018]	Time 0.627 (0.629)	Data 0.001 (0.015)	Loss 1.6783 (1.6348)	Prec@1 56.000 (56.118)	Prec@5 83.500 (84.688)
Epoch: [79][200/9018]	Time 0.595 (0.629)	Data 0.001 (0.014)	Loss 1.6071 (1.6361)	Prec@1 57.000 (56.104)	Prec@5 87.500 (84.687)
Epoch: [79][210/9018]	Time 0.614 (0.628)	Data 0.001 (0.014)	Loss 1.6724 (1.6366)	Prec@1 55.000 (56.142)	Prec@5 85.000 (84.680)
Epoch: [79][220/9018]	Time 0.596 (0.628)	Data 0.001 (0.013)	Loss 1.5538 (1.6361)	Prec@1 58.500 (56.131)	Prec@5 86.500 (84.724)
Epoch: [79][230/9018]	Time 0.593 (0.627)	Data 0.001 (0.013)	Loss 1.6843 (1.6355)	Prec@1 54.000 (56.149)	Prec@5 87.500 (84.742)
Epoch: [79][240/9018]	Time 0.641 (0.626)	Data 0.001 (0.012)	Loss 1.5396 (1.6361)	Prec@1 59.500 (56.112)	Prec@5 84.000 (84.724)
Epoch: [79][250/9018]	Time 0.618 (0.626)	Data 0.001 (0.012)	Loss 1.5833 (1.6358)	Prec@1 56.500 (56.072)	Prec@5 84.500 (84.735)
Epoch: [79][260/9018]	Time 0.723 (0.626)	Data 0.001 (0.012)	Loss 1.5960 (1.6346)	Prec@1 57.500 (56.100)	Prec@5 88.000 (84.738)
Epoch: [79][270/9018]	Time 0.624 (0.626)	Data 0.001 (0.011)	Loss 1.5551 (1.6342)	Prec@1 56.000 (56.096)	Prec@5 83.000 (84.718)
Epoch: [79][280/9018]	Time 0.619 (0.625)	Data 0.015 (0.011)	Loss 1.6135 (1.6363)	Prec@1 56.500 (56.062)	Prec@5 84.000 (84.681)
Epoch: [79][290/9018]	Time 0.625 (0.625)	Data 0.001 (0.011)	Loss 1.5694 (1.6341)	Prec@1 58.000 (56.115)	Prec@5 86.000 (84.708)
Epoch: [79][300/9018]	Time 0.617 (0.625)	Data 0.001 (0.010)	Loss 1.4201 (1.6339)	Prec@1 62.500 (56.088)	Prec@5 86.000 (84.728)
Epoch: [79][310/9018]	Time 0.744 (0.625)	Data 0.001 (0.010)	Loss 1.6565 (1.6349)	Prec@1 48.000 (56.066)	Prec@5 83.500 (84.703)
Epoch: [79][320/9018]	Time 0.612 (0.624)	Data 0.001 (0.010)	Loss 1.6445 (1.6359)	Prec@1 59.000 (56.056)	Prec@5 85.000 (84.682)
Epoch: [79][330/9018]	Time 0.615 (0.624)	Data 0.001 (0.010)	Loss 1.8555 (1.6351)	Prec@1 47.000 (56.062)	Prec@5 80.500 (84.684)
Epoch: [79][340/9018]	Time 0.620 (0.624)	Data 0.001 (0.009)	Loss 1.5455 (1.6356)	Prec@1 59.500 (56.034)	Prec@5 85.500 (84.676)
Epoch: [79][350/9018]	Time 0.597 (0.623)	Data 0.001 (0.009)	Loss 1.8967 (1.6382)	Prec@1 53.000 (55.973)	Prec@5 78.000 (84.618)
Epoch: [79][360/9018]	Time 0.610 (0.623)	Data 0.001 (0.009)	Loss 1.7719 (1.6386)	Prec@1 52.000 (55.950)	Prec@5 84.000 (84.619)
Epoch: [79][370/9018]	Time 0.593 (0.623)	Data 0.001 (0.009)	Loss 1.8149 (1.6395)	Prec@1 53.000 (55.941)	Prec@5 80.500 (84.601)
Epoch: [79][380/9018]	Time 0.599 (0.623)	Data 0.001 (0.008)	Loss 1.6640 (1.6379)	Prec@1 54.500 (55.983)	Prec@5 86.000 (84.646)
Epoch: [79][390/9018]	Time 0.592 (0.623)	Data 0.001 (0.008)	Loss 1.4660 (1.6368)	Prec@1 60.500 (56.031)	Prec@5 86.000 (84.666)
Epoch: [79][400/9018]	Time 0.612 (0.623)	Data 0.001 (0.008)	Loss 1.7900 (1.6368)	Prec@1 53.000 (56.041)	Prec@5 85.000 (84.652)
Epoch: [79][410/9018]	Time 0.598 (0.622)	Data 0.001 (0.008)	Loss 1.8346 (1.6381)	Prec@1 52.500 (56.054)	Prec@5 80.500 (84.616)
Epoch: [79][420/9018]	Time 0.601 (0.622)	Data 0.001 (0.008)	Loss 1.6417 (1.6385)	Prec@1 57.500 (56.034)	Prec@5 81.500 (84.593)
Epoch: [79][430/9018]	Time 0.592 (0.622)	Data 0.001 (0.008)	Loss 1.6866 (1.6380)	Prec@1 56.500 (56.055)	Prec@5 84.500 (84.602)
Epoch: [79][440/9018]	Time 0.636 (0.622)	Data 0.016 (0.008)	Loss 1.8528 (1.6386)	Prec@1 47.500 (56.029)	Prec@5 80.000 (84.575)
Epoch: [79][450/9018]	Time 0.605 (0.622)	Data 0.001 (0.007)	Loss 1.6705 (1.6383)	Prec@1 54.500 (56.014)	Prec@5 85.000 (84.562)
Epoch: [79][460/9018]	Time 0.599 (0.622)	Data 0.001 (0.007)	Loss 1.8377 (1.6388)	Prec@1 52.500 (56.008)	Prec@5 81.500 (84.554)
Epoch: [79][470/9018]	Time 0.622 (0.621)	Data 0.001 (0.007)	Loss 1.6852 (1.6397)	Prec@1 55.500 (55.983)	Prec@5 84.000 (84.536)
Epoch: [79][480/9018]	Time 0.600 (0.621)	Data 0.001 (0.007)	Loss 1.6041 (1.6398)	Prec@1 59.000 (55.983)	Prec@5 84.000 (84.538)
Epoch: [79][490/9018]	Time 0.637 (0.621)	Data 0.001 (0.007)	Loss 1.6664 (1.6385)	Prec@1 55.000 (56.004)	Prec@5 84.000 (84.568)
Epoch: [79][500/9018]	Time 0.622 (0.621)	Data 0.015 (0.007)	Loss 1.6648 (1.6397)	Prec@1 53.500 (55.962)	Prec@5 84.500 (84.547)
Epoch: [79][510/9018]	Time 0.624 (0.621)	Data 0.001 (0.007)	Loss 1.8613 (1.6406)	Prec@1 51.500 (55.932)	Prec@5 80.500 (84.534)
Epoch: [79][520/9018]	Time 0.609 (0.621)	Data 0.001 (0.007)	Loss 1.7150 (1.6418)	Prec@1 55.000 (55.896)	Prec@5 83.000 (84.508)
Epoch: [79][530/9018]	Time 0.616 (0.621)	Data 0.001 (0.007)	Loss 1.6844 (1.6413)	Prec@1 52.000 (55.904)	Prec@5 84.000 (84.533)
Epoch: [79][540/9018]	Time 0.589 (0.621)	Data 0.001 (0.007)	Loss 1.6563 (1.6409)	Prec@1 55.000 (55.914)	Prec@5 85.000 (84.542)
Epoch: [79][550/9018]	Time 0.618 (0.621)	Data 0.001 (0.007)	Loss 1.6424 (1.6406)	Prec@1 52.500 (55.900)	Prec@5 84.000 (84.541)
Epoch: [79][560/9018]	Time 0.610 (0.621)	Data 0.001 (0.007)	Loss 1.7282 (1.6398)	Prec@1 54.500 (55.914)	Prec@5 81.000 (84.535)
Epoch: [79][570/9018]	Time 0.608 (0.621)	Data 0.001 (0.007)	Loss 1.7239 (1.6404)	Prec@1 49.500 (55.876)	Prec@5 81.500 (84.511)
Epoch: [79][580/9018]	Time 0.627 (0.621)	Data 0.001 (0.006)	Loss 1.7081 (1.6411)	Prec@1 57.500 (55.881)	Prec@5 84.000 (84.512)
Epoch: [79][590/9018]	Time 0.776 (0.621)	Data 0.014 (0.006)	Loss 1.6845 (1.6413)	Prec@1 58.000 (55.902)	Prec@5 87.500 (84.508)
Epoch: [79][600/9018]	Time 0.609 (0.621)	Data 0.001 (0.006)	Loss 1.6406 (1.6426)	Prec@1 56.000 (55.859)	Prec@5 84.500 (84.494)
Epoch: [79][610/9018]	Time 0.600 (0.621)	Data 0.001 (0.006)	Loss 1.9188 (1.6434)	Prec@1 50.000 (55.830)	Prec@5 81.000 (84.477)
Epoch: [79][620/9018]	Time 0.631 (0.620)	Data 0.001 (0.006)	Loss 1.5620 (1.6439)	Prec@1 57.500 (55.820)	Prec@5 86.500 (84.453)
Epoch: [79][630/9018]	Time 0.589 (0.620)	Data 0.001 (0.006)	Loss 1.6923 (1.6444)	Prec@1 57.000 (55.815)	Prec@5 84.500 (84.431)
Epoch: [79][640/9018]	Time 0.712 (0.620)	Data 0.001 (0.006)	Loss 1.6810 (1.6444)	Prec@1 53.000 (55.801)	Prec@5 85.500 (84.443)
Epoch: [79][650/9018]	Time 0.591 (0.620)	Data 0.001 (0.006)	Loss 1.6182 (1.6452)	Prec@1 55.000 (55.787)	Prec@5 86.500 (84.416)
Epoch: [79][660/9018]	Time 0.610 (0.620)	Data 0.001 (0.006)	Loss 1.5482 (1.6442)	Prec@1 58.500 (55.817)	Prec@5 85.000 (84.432)
Epoch: [79][670/9018]	Time 0.593 (0.620)	Data 0.001 (0.006)	Loss 1.6056 (1.6429)	Prec@1 57.000 (55.817)	Prec@5 83.000 (84.452)
Epoch: [79][680/9018]	Time 0.602 (0.620)	Data 0.001 (0.006)	Loss 1.8024 (1.6429)	Prec@1 51.500 (55.818)	Prec@5 79.000 (84.449)
Epoch: [79][690/9018]	Time 0.615 (0.620)	Data 0.001 (0.006)	Loss 1.5025 (1.6446)	Prec@1 59.000 (55.789)	Prec@5 83.000 (84.418)
Epoch: [79][700/9018]	Time 0.607 (0.620)	Data 0.001 (0.006)	Loss 1.6786 (1.6441)	Prec@1 59.500 (55.811)	Prec@5 83.000 (84.417)
Epoch: [79][710/9018]	Time 0.623 (0.620)	Data 0.001 (0.006)	Loss 1.6005 (1.6445)	Prec@1 52.500 (55.804)	Prec@5 88.000 (84.402)
Epoch: [79][720/9018]	Time 0.608 (0.620)	Data 0.001 (0.006)	Loss 1.6192 (1.6446)	Prec@1 59.500 (55.803)	Prec@5 83.500 (84.406)
Epoch: [79][730/9018]	Time 0.605 (0.620)	Data 0.001 (0.005)	Loss 1.5161 (1.6438)	Prec@1 59.000 (55.819)	Prec@5 87.500 (84.438)
Epoch: [79][740/9018]	Time 0.604 (0.620)	Data 0.001 (0.005)	Loss 1.6307 (1.6426)	Prec@1 53.000 (55.854)	Prec@5 85.500 (84.458)
Epoch: [79][750/9018]	Time 0.609 (0.620)	Data 0.001 (0.005)	Loss 1.6026 (1.6430)	Prec@1 55.500 (55.834)	Prec@5 87.000 (84.461)
Epoch: [79][760/9018]	Time 0.622 (0.620)	Data 0.001 (0.005)	Loss 1.6868 (1.6432)	Prec@1 52.500 (55.818)	Prec@5 83.500 (84.449)
Epoch: [79][770/9018]	Time 0.617 (0.620)	Data 0.001 (0.005)	Loss 1.7057 (1.6432)	Prec@1 51.000 (55.817)	Prec@5 84.000 (84.448)
Epoch: [79][780/9018]	Time 0.605 (0.620)	Data 0.017 (0.005)	Loss 1.6720 (1.6436)	Prec@1 53.500 (55.816)	Prec@5 84.500 (84.448)
Epoch: [79][790/9018]	Time 0.643 (0.620)	Data 0.001 (0.005)	Loss 1.6933 (1.6439)	Prec@1 54.500 (55.811)	Prec@5 84.500 (84.451)
Epoch: [79][800/9018]	Time 0.591 (0.620)	Data 0.001 (0.005)	Loss 1.6383 (1.6438)	Prec@1 51.500 (55.804)	Prec@5 83.500 (84.441)
Epoch: [79][810/9018]	Time 0.592 (0.620)	Data 0.001 (0.005)	Loss 1.7040 (1.6435)	Prec@1 51.000 (55.795)	Prec@5 85.000 (84.453)
Epoch: [79][820/9018]	Time 0.593 (0.619)	Data 0.001 (0.005)	Loss 1.6147 (1.6433)	Prec@1 59.000 (55.814)	Prec@5 81.500 (84.436)
Epoch: [79][830/9018]	Time 0.621 (0.619)	Data 0.014 (0.005)	Loss 1.4314 (1.6428)	Prec@1 58.500 (55.819)	Prec@5 88.500 (84.449)
Epoch: [79][840/9018]	Time 0.614 (0.620)	Data 0.001 (0.005)	Loss 1.3394 (1.6430)	Prec@1 65.500 (55.824)	Prec@5 85.500 (84.433)
Epoch: [79][850/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 1.5796 (1.6431)	Prec@1 58.500 (55.827)	Prec@5 82.000 (84.428)
Epoch: [79][860/9018]	Time 0.606 (0.619)	Data 0.001 (0.005)	Loss 1.4537 (1.6428)	Prec@1 58.000 (55.827)	Prec@5 86.500 (84.433)
Epoch: [79][870/9018]	Time 0.589 (0.619)	Data 0.001 (0.005)	Loss 1.6083 (1.6431)	Prec@1 58.000 (55.825)	Prec@5 87.000 (84.431)
Epoch: [79][880/9018]	Time 0.614 (0.619)	Data 0.001 (0.005)	Loss 1.6923 (1.6443)	Prec@1 53.000 (55.793)	Prec@5 82.500 (84.410)
Epoch: [79][890/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 1.7628 (1.6443)	Prec@1 55.000 (55.790)	Prec@5 80.000 (84.420)
Epoch: [79][900/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 1.5825 (1.6443)	Prec@1 55.500 (55.780)	Prec@5 85.500 (84.419)
Epoch: [79][910/9018]	Time 0.593 (0.619)	Data 0.001 (0.005)	Loss 1.7001 (1.6442)	Prec@1 58.000 (55.782)	Prec@5 80.000 (84.419)
Epoch: [79][920/9018]	Time 0.730 (0.619)	Data 0.001 (0.005)	Loss 1.6685 (1.6435)	Prec@1 59.000 (55.792)	Prec@5 83.500 (84.424)
Epoch: [79][930/9018]	Time 0.610 (0.619)	Data 0.001 (0.005)	Loss 1.6501 (1.6436)	Prec@1 55.500 (55.791)	Prec@5 85.000 (84.431)
Epoch: [79][940/9018]	Time 0.605 (0.619)	Data 0.001 (0.005)	Loss 1.6240 (1.6437)	Prec@1 55.500 (55.786)	Prec@5 85.000 (84.433)
Epoch: [79][950/9018]	Time 0.611 (0.619)	Data 0.001 (0.005)	Loss 1.7934 (1.6438)	Prec@1 49.000 (55.780)	Prec@5 83.000 (84.431)
Epoch: [79][960/9018]	Time 0.639 (0.619)	Data 0.001 (0.005)	Loss 1.7782 (1.6436)	Prec@1 50.500 (55.782)	Prec@5 83.500 (84.437)
Epoch: [79][970/9018]	Time 0.708 (0.619)	Data 0.001 (0.005)	Loss 1.7076 (1.6440)	Prec@1 54.500 (55.779)	Prec@5 83.000 (84.430)
Epoch: [79][980/9018]	Time 0.619 (0.619)	Data 0.001 (0.005)	Loss 1.6535 (1.6437)	Prec@1 53.000 (55.779)	Prec@5 84.000 (84.435)
Epoch: [79][990/9018]	Time 0.599 (0.619)	Data 0.001 (0.005)	Loss 1.5588 (1.6438)	Prec@1 52.500 (55.765)	Prec@5 84.500 (84.423)
Epoch: [79][1000/9018]	Time 0.600 (0.619)	Data 0.001 (0.004)	Loss 1.5939 (1.6441)	Prec@1 54.000 (55.758)	Prec@5 86.000 (84.415)
Epoch: [79][1010/9018]	Time 0.609 (0.619)	Data 0.001 (0.004)	Loss 1.4866 (1.6441)	Prec@1 57.500 (55.744)	Prec@5 85.000 (84.407)
Epoch: [79][1020/9018]	Time 0.639 (0.619)	Data 0.001 (0.004)	Loss 1.7047 (1.6441)	Prec@1 55.000 (55.762)	Prec@5 85.000 (84.405)
Epoch: [79][1030/9018]	Time 0.609 (0.619)	Data 0.001 (0.004)	Loss 1.5785 (1.6446)	Prec@1 56.500 (55.754)	Prec@5 85.000 (84.397)
Epoch: [79][1040/9018]	Time 0.620 (0.619)	Data 0.001 (0.004)	Loss 1.6852 (1.6451)	Prec@1 55.500 (55.746)	Prec@5 84.000 (84.382)
Epoch: [79][1050/9018]	Time 0.634 (0.619)	Data 0.001 (0.004)	Loss 1.3357 (1.6454)	Prec@1 65.000 (55.747)	Prec@5 89.500 (84.375)
Epoch: [79][1060/9018]	Time 0.613 (0.619)	Data 0.001 (0.004)	Loss 1.7307 (1.6462)	Prec@1 55.500 (55.735)	Prec@5 84.500 (84.373)
Epoch: [79][1070/9018]	Time 0.627 (0.619)	Data 0.001 (0.004)	Loss 1.5433 (1.6462)	Prec@1 52.500 (55.738)	Prec@5 86.000 (84.376)
Epoch: [79][1080/9018]	Time 0.591 (0.619)	Data 0.001 (0.004)	Loss 1.6607 (1.6458)	Prec@1 57.500 (55.741)	Prec@5 82.500 (84.383)
Epoch: [79][1090/9018]	Time 0.615 (0.619)	Data 0.001 (0.004)	Loss 1.5432 (1.6460)	Prec@1 61.500 (55.739)	Prec@5 88.000 (84.380)
Epoch: [79][1100/9018]	Time 0.590 (0.619)	Data 0.001 (0.004)	Loss 1.5962 (1.6461)	Prec@1 53.000 (55.742)	Prec@5 82.500 (84.384)
Epoch: [79][1110/9018]	Time 0.592 (0.619)	Data 0.001 (0.004)	Loss 1.6098 (1.6465)	Prec@1 55.500 (55.736)	Prec@5 86.500 (84.377)
Epoch: [79][1120/9018]	Time 0.593 (0.619)	Data 0.001 (0.004)	Loss 1.6723 (1.6469)	Prec@1 58.000 (55.725)	Prec@5 85.500 (84.375)
Epoch: [79][1130/9018]	Time 0.589 (0.619)	Data 0.001 (0.004)	Loss 1.4740 (1.6465)	Prec@1 58.500 (55.729)	Prec@5 87.500 (84.381)
Epoch: [79][1140/9018]	Time 0.615 (0.619)	Data 0.001 (0.004)	Loss 1.5907 (1.6462)	Prec@1 60.000 (55.731)	Prec@5 83.000 (84.387)
Epoch: [79][1150/9018]	Time 0.631 (0.619)	Data 0.015 (0.004)	Loss 1.5172 (1.6462)	Prec@1 54.500 (55.729)	Prec@5 87.500 (84.383)
Epoch: [79][1160/9018]	Time 0.593 (0.619)	Data 0.001 (0.004)	Loss 1.8097 (1.6463)	Prec@1 53.000 (55.727)	Prec@5 81.000 (84.373)
Epoch: [79][1170/9018]	Time 0.619 (0.619)	Data 0.001 (0.004)	Loss 1.4609 (1.6461)	Prec@1 59.000 (55.726)	Prec@5 89.000 (84.376)
Epoch: [79][1180/9018]	Time 0.615 (0.619)	Data 0.001 (0.004)	Loss 1.7119 (1.6459)	Prec@1 51.500 (55.727)	Prec@5 84.500 (84.381)
Epoch: [79][1190/9018]	Time 0.603 (0.619)	Data 0.001 (0.004)	Loss 1.7130 (1.6462)	Prec@1 55.000 (55.729)	Prec@5 84.500 (84.374)
Epoch: [79][1200/9018]	Time 0.622 (0.619)	Data 0.001 (0.004)	Loss 1.6861 (1.6458)	Prec@1 56.500 (55.741)	Prec@5 84.000 (84.378)
Epoch: [79][1210/9018]	Time 0.617 (0.619)	Data 0.001 (0.004)	Loss 1.8473 (1.6456)	Prec@1 54.000 (55.749)	Prec@5 84.000 (84.383)
Epoch: [79][1220/9018]	Time 0.597 (0.619)	Data 0.001 (0.004)	Loss 1.7258 (1.6452)	Prec@1 57.000 (55.766)	Prec@5 83.000 (84.387)
Epoch: [79][1230/9018]	Time 0.592 (0.619)	Data 0.001 (0.004)	Loss 2.0037 (1.6454)	Prec@1 48.000 (55.758)	Prec@5 78.500 (84.382)
Epoch: [79][1240/9018]	Time 0.595 (0.619)	Data 0.001 (0.004)	Loss 1.7218 (1.6453)	Prec@1 53.000 (55.753)	Prec@5 83.500 (84.378)
Epoch: [79][1250/9018]	Time 0.705 (0.619)	Data 0.001 (0.004)	Loss 1.7777 (1.6457)	Prec@1 49.500 (55.744)	Prec@5 80.500 (84.369)
Epoch: [79][1260/9018]	Time 0.608 (0.618)	Data 0.001 (0.004)	Loss 1.7804 (1.6459)	Prec@1 55.000 (55.747)	Prec@5 79.500 (84.363)
Epoch: [79][1270/9018]	Time 0.605 (0.619)	Data 0.014 (0.004)	Loss 1.5392 (1.6459)	Prec@1 56.000 (55.743)	Prec@5 84.000 (84.364)
Epoch: [79][1280/9018]	Time 0.596 (0.619)	Data 0.001 (0.004)	Loss 1.7774 (1.6455)	Prec@1 52.500 (55.745)	Prec@5 84.000 (84.374)
Epoch: [79][1290/9018]	Time 0.599 (0.619)	Data 0.001 (0.004)	Loss 1.5484 (1.6450)	Prec@1 58.000 (55.756)	Prec@5 85.500 (84.381)
Epoch: [79][1300/9018]	Time 0.758 (0.619)	Data 0.017 (0.004)	Loss 1.5959 (1.6448)	Prec@1 55.500 (55.750)	Prec@5 87.000 (84.390)
Epoch: [79][1310/9018]	Time 0.631 (0.618)	Data 0.001 (0.004)	Loss 1.6354 (1.6451)	Prec@1 56.000 (55.745)	Prec@5 82.000 (84.379)
Epoch: [79][1320/9018]	Time 0.610 (0.619)	Data 0.001 (0.004)	Loss 1.7196 (1.6450)	Prec@1 55.500 (55.752)	Prec@5 82.500 (84.379)
Epoch: [79][1330/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 1.8288 (1.6448)	Prec@1 54.000 (55.766)	Prec@5 81.500 (84.379)
Epoch: [79][1340/9018]	Time 0.602 (0.619)	Data 0.001 (0.004)	Loss 1.5731 (1.6454)	Prec@1 56.500 (55.763)	Prec@5 85.000 (84.364)
Epoch: [79][1350/9018]	Time 0.625 (0.618)	Data 0.005 (0.004)	Loss 1.8917 (1.6457)	Prec@1 51.500 (55.760)	Prec@5 80.000 (84.353)
Epoch: [79][1360/9018]	Time 0.642 (0.618)	Data 0.001 (0.004)	Loss 1.6616 (1.6460)	Prec@1 55.000 (55.758)	Prec@5 82.000 (84.346)
Epoch: [79][1370/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 1.8222 (1.6461)	Prec@1 51.500 (55.747)	Prec@5 87.000 (84.349)
Epoch: [79][1380/9018]	Time 0.608 (0.618)	Data 0.001 (0.004)	Loss 1.7931 (1.6456)	Prec@1 51.000 (55.761)	Prec@5 82.000 (84.356)
Epoch: [79][1390/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 1.8360 (1.6461)	Prec@1 50.500 (55.742)	Prec@5 79.500 (84.348)
Epoch: [79][1400/9018]	Time 0.612 (0.618)	Data 0.001 (0.004)	Loss 1.6615 (1.6465)	Prec@1 56.500 (55.737)	Prec@5 83.000 (84.343)
Epoch: [79][1410/9018]	Time 0.619 (0.618)	Data 0.001 (0.004)	Loss 1.7683 (1.6461)	Prec@1 49.500 (55.745)	Prec@5 82.000 (84.343)
Epoch: [79][1420/9018]	Time 0.632 (0.618)	Data 0.001 (0.004)	Loss 1.7679 (1.6460)	Prec@1 52.500 (55.739)	Prec@5 81.500 (84.342)
Epoch: [79][1430/9018]	Time 0.627 (0.618)	Data 0.001 (0.004)	Loss 1.9595 (1.6458)	Prec@1 55.500 (55.749)	Prec@5 79.000 (84.345)
Epoch: [79][1440/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 1.6133 (1.6459)	Prec@1 57.000 (55.745)	Prec@5 83.000 (84.333)
Epoch: [79][1450/9018]	Time 0.639 (0.618)	Data 0.001 (0.004)	Loss 1.6991 (1.6459)	Prec@1 53.500 (55.746)	Prec@5 81.500 (84.329)
Epoch: [79][1460/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 1.8297 (1.6464)	Prec@1 48.000 (55.727)	Prec@5 82.500 (84.328)
Epoch: [79][1470/9018]	Time 0.608 (0.618)	Data 0.001 (0.004)	Loss 1.5069 (1.6461)	Prec@1 61.500 (55.725)	Prec@5 85.000 (84.339)
Epoch: [79][1480/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 1.6170 (1.6464)	Prec@1 57.500 (55.717)	Prec@5 85.500 (84.329)
Epoch: [79][1490/9018]	Time 0.619 (0.618)	Data 0.001 (0.004)	Loss 1.4521 (1.6461)	Prec@1 59.000 (55.719)	Prec@5 85.500 (84.330)
Epoch: [79][1500/9018]	Time 0.636 (0.618)	Data 0.001 (0.004)	Loss 1.7367 (1.6458)	Prec@1 56.000 (55.733)	Prec@5 82.500 (84.334)
Epoch: [79][1510/9018]	Time 0.620 (0.618)	Data 0.001 (0.004)	Loss 1.5462 (1.6460)	Prec@1 59.000 (55.727)	Prec@5 86.000 (84.337)
Epoch: [79][1520/9018]	Time 0.609 (0.618)	Data 0.001 (0.004)	Loss 1.7213 (1.6456)	Prec@1 53.500 (55.735)	Prec@5 83.500 (84.340)
Epoch: [79][1530/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 1.7428 (1.6458)	Prec@1 58.000 (55.744)	Prec@5 84.000 (84.343)
Epoch: [79][1540/9018]	Time 0.625 (0.618)	Data 0.001 (0.004)	Loss 1.5520 (1.6459)	Prec@1 57.000 (55.745)	Prec@5 88.000 (84.343)
Epoch: [79][1550/9018]	Time 0.632 (0.618)	Data 0.001 (0.004)	Loss 1.6859 (1.6459)	Prec@1 53.500 (55.740)	Prec@5 85.000 (84.342)
Epoch: [79][1560/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 1.4086 (1.6463)	Prec@1 61.500 (55.725)	Prec@5 90.500 (84.333)
Epoch: [79][1570/9018]	Time 0.612 (0.618)	Data 0.001 (0.004)	Loss 1.6271 (1.6463)	Prec@1 56.500 (55.718)	Prec@5 84.500 (84.340)
Epoch: [79][1580/9018]	Time 0.734 (0.618)	Data 0.001 (0.004)	Loss 1.6527 (1.6464)	Prec@1 54.500 (55.717)	Prec@5 87.000 (84.338)
Epoch: [79][1590/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 1.5615 (1.6466)	Prec@1 55.500 (55.712)	Prec@5 84.500 (84.331)
Epoch: [79][1600/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 1.8732 (1.6468)	Prec@1 50.500 (55.710)	Prec@5 80.500 (84.325)
Epoch: [79][1610/9018]	Time 0.608 (0.618)	Data 0.001 (0.004)	Loss 1.8706 (1.6468)	Prec@1 51.000 (55.716)	Prec@5 83.000 (84.323)
Epoch: [79][1620/9018]	Time 0.618 (0.618)	Data 0.001 (0.004)	Loss 1.5509 (1.6465)	Prec@1 59.500 (55.720)	Prec@5 84.000 (84.324)
Epoch: [79][1630/9018]	Time 0.814 (0.618)	Data 0.001 (0.004)	Loss 1.5910 (1.6465)	Prec@1 59.000 (55.723)	Prec@5 85.500 (84.328)
Epoch: [79][1640/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 1.6694 (1.6466)	Prec@1 52.000 (55.725)	Prec@5 85.000 (84.327)
Epoch: [79][1650/9018]	Time 0.620 (0.618)	Data 0.016 (0.004)	Loss 1.5573 (1.6469)	Prec@1 58.000 (55.715)	Prec@5 84.000 (84.317)
Epoch: [79][1660/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 1.7527 (1.6470)	Prec@1 55.500 (55.718)	Prec@5 80.500 (84.307)
Epoch: [79][1670/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 1.7919 (1.6472)	Prec@1 52.500 (55.709)	Prec@5 82.000 (84.301)
Epoch: [79][1680/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 1.6549 (1.6473)	Prec@1 55.500 (55.709)	Prec@5 84.000 (84.296)
Epoch: [79][1690/9018]	Time 0.588 (0.618)	Data 0.001 (0.004)	Loss 1.7342 (1.6474)	Prec@1 52.000 (55.713)	Prec@5 83.500 (84.290)
Epoch: [79][1700/9018]	Time 0.591 (0.618)	Data 0.001 (0.004)	Loss 1.6254 (1.6477)	Prec@1 58.500 (55.711)	Prec@5 82.000 (84.282)
Epoch: [79][1710/9018]	Time 0.607 (0.618)	Data 0.001 (0.004)	Loss 1.5335 (1.6473)	Prec@1 59.500 (55.720)	Prec@5 87.000 (84.286)
Epoch: [79][1720/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 1.5737 (1.6472)	Prec@1 60.500 (55.733)	Prec@5 84.500 (84.284)
Epoch: [79][1730/9018]	Time 0.610 (0.618)	Data 0.001 (0.004)	Loss 1.7876 (1.6473)	Prec@1 54.000 (55.742)	Prec@5 83.500 (84.281)
Epoch: [79][1740/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 1.3703 (1.6476)	Prec@1 62.000 (55.733)	Prec@5 91.500 (84.279)
Epoch: [79][1750/9018]	Time 0.609 (0.618)	Data 0.001 (0.003)	Loss 1.8116 (1.6478)	Prec@1 52.500 (55.733)	Prec@5 82.500 (84.273)
Epoch: [79][1760/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.5889 (1.6475)	Prec@1 59.500 (55.749)	Prec@5 84.500 (84.278)
Epoch: [79][1770/9018]	Time 0.622 (0.618)	Data 0.007 (0.003)	Loss 1.5610 (1.6476)	Prec@1 56.000 (55.744)	Prec@5 86.000 (84.277)
Epoch: [79][1780/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.7700 (1.6474)	Prec@1 52.500 (55.747)	Prec@5 83.000 (84.280)
Epoch: [79][1790/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 1.5533 (1.6473)	Prec@1 54.500 (55.747)	Prec@5 88.500 (84.284)
Epoch: [79][1800/9018]	Time 0.601 (0.618)	Data 0.014 (0.003)	Loss 1.4975 (1.6476)	Prec@1 57.500 (55.736)	Prec@5 89.000 (84.278)
Epoch: [79][1810/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 1.5665 (1.6480)	Prec@1 54.000 (55.720)	Prec@5 88.000 (84.277)
Epoch: [79][1820/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.6621 (1.6480)	Prec@1 57.000 (55.724)	Prec@5 85.000 (84.280)
Epoch: [79][1830/9018]	Time 0.634 (0.618)	Data 0.001 (0.003)	Loss 1.7254 (1.6481)	Prec@1 55.500 (55.728)	Prec@5 81.500 (84.279)
Epoch: [79][1840/9018]	Time 0.591 (0.618)	Data 0.001 (0.003)	Loss 1.7394 (1.6480)	Prec@1 57.000 (55.729)	Prec@5 80.500 (84.278)
Epoch: [79][1850/9018]	Time 0.591 (0.618)	Data 0.001 (0.003)	Loss 1.5217 (1.6477)	Prec@1 58.000 (55.737)	Prec@5 86.000 (84.285)
Epoch: [79][1860/9018]	Time 0.639 (0.618)	Data 0.001 (0.003)	Loss 1.6933 (1.6476)	Prec@1 58.000 (55.740)	Prec@5 81.500 (84.285)
Epoch: [79][1870/9018]	Time 0.624 (0.618)	Data 0.001 (0.003)	Loss 1.3801 (1.6473)	Prec@1 60.500 (55.746)	Prec@5 88.500 (84.287)
Epoch: [79][1880/9018]	Time 0.614 (0.618)	Data 0.001 (0.003)	Loss 1.6523 (1.6472)	Prec@1 52.000 (55.745)	Prec@5 85.500 (84.293)
Epoch: [79][1890/9018]	Time 0.624 (0.618)	Data 0.001 (0.003)	Loss 1.6106 (1.6473)	Prec@1 57.000 (55.741)	Prec@5 87.000 (84.295)
Epoch: [79][1900/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.4995 (1.6471)	Prec@1 53.500 (55.744)	Prec@5 85.500 (84.297)
Epoch: [79][1910/9018]	Time 0.717 (0.618)	Data 0.001 (0.003)	Loss 1.4886 (1.6472)	Prec@1 59.500 (55.745)	Prec@5 87.000 (84.298)
Epoch: [79][1920/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.6569 (1.6473)	Prec@1 61.000 (55.744)	Prec@5 80.500 (84.295)
Epoch: [79][1930/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 1.6922 (1.6475)	Prec@1 58.500 (55.743)	Prec@5 82.000 (84.287)
Epoch: [79][1940/9018]	Time 0.637 (0.618)	Data 0.013 (0.003)	Loss 1.4421 (1.6475)	Prec@1 59.000 (55.740)	Prec@5 88.000 (84.290)
Epoch: [79][1950/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.7616 (1.6475)	Prec@1 54.500 (55.739)	Prec@5 82.500 (84.288)
Epoch: [79][1960/9018]	Time 0.727 (0.618)	Data 0.022 (0.003)	Loss 1.7159 (1.6473)	Prec@1 53.000 (55.747)	Prec@5 81.500 (84.288)
Epoch: [79][1970/9018]	Time 0.610 (0.618)	Data 0.001 (0.003)	Loss 1.6813 (1.6473)	Prec@1 52.500 (55.745)	Prec@5 83.500 (84.291)
Epoch: [79][1980/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.5553 (1.6469)	Prec@1 56.500 (55.752)	Prec@5 85.500 (84.295)
Epoch: [79][1990/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.6227 (1.6468)	Prec@1 52.500 (55.752)	Prec@5 88.000 (84.297)
Epoch: [79][2000/9018]	Time 0.612 (0.618)	Data 0.001 (0.003)	Loss 1.4343 (1.6466)	Prec@1 64.000 (55.762)	Prec@5 89.500 (84.305)
Epoch: [79][2010/9018]	Time 0.609 (0.618)	Data 0.001 (0.003)	Loss 1.5731 (1.6467)	Prec@1 54.500 (55.764)	Prec@5 85.500 (84.308)
Epoch: [79][2020/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.6000 (1.6467)	Prec@1 54.500 (55.764)	Prec@5 84.500 (84.303)
Epoch: [79][2030/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.6657 (1.6465)	Prec@1 57.500 (55.770)	Prec@5 83.000 (84.301)
Epoch: [79][2040/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.7009 (1.6464)	Prec@1 58.000 (55.776)	Prec@5 80.500 (84.302)
Epoch: [79][2050/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 1.6341 (1.6464)	Prec@1 56.500 (55.774)	Prec@5 80.500 (84.297)
Epoch: [79][2060/9018]	Time 0.626 (0.618)	Data 0.001 (0.003)	Loss 1.5820 (1.6463)	Prec@1 57.000 (55.777)	Prec@5 85.000 (84.299)
Epoch: [79][2070/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.3819 (1.6464)	Prec@1 63.500 (55.774)	Prec@5 87.500 (84.301)
Epoch: [79][2080/9018]	Time 0.590 (0.618)	Data 0.001 (0.003)	Loss 1.9088 (1.6463)	Prec@1 49.500 (55.775)	Prec@5 79.500 (84.303)
Epoch: [79][2090/9018]	Time 0.592 (0.618)	Data 0.001 (0.003)	Loss 1.8085 (1.6464)	Prec@1 51.000 (55.773)	Prec@5 80.500 (84.301)
Epoch: [79][2100/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.7631 (1.6465)	Prec@1 55.000 (55.769)	Prec@5 81.500 (84.302)
Epoch: [79][2110/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 1.5130 (1.6465)	Prec@1 59.000 (55.766)	Prec@5 86.000 (84.297)
Epoch: [79][2120/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 1.5515 (1.6464)	Prec@1 60.000 (55.769)	Prec@5 86.000 (84.295)
Epoch: [79][2130/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.6867 (1.6464)	Prec@1 59.500 (55.775)	Prec@5 85.000 (84.293)
Epoch: [79][2140/9018]	Time 0.617 (0.618)	Data 0.020 (0.003)	Loss 1.7027 (1.6465)	Prec@1 54.500 (55.777)	Prec@5 82.000 (84.292)
Epoch: [79][2150/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.5455 (1.6466)	Prec@1 56.000 (55.771)	Prec@5 84.500 (84.292)
Epoch: [79][2160/9018]	Time 0.624 (0.618)	Data 0.001 (0.003)	Loss 1.7474 (1.6466)	Prec@1 53.500 (55.771)	Prec@5 80.000 (84.286)
Epoch: [79][2170/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.5866 (1.6467)	Prec@1 57.000 (55.770)	Prec@5 84.000 (84.283)
Epoch: [79][2180/9018]	Time 0.622 (0.618)	Data 0.001 (0.003)	Loss 1.7356 (1.6465)	Prec@1 56.500 (55.777)	Prec@5 83.000 (84.288)
Epoch: [79][2190/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 1.6260 (1.6466)	Prec@1 58.000 (55.769)	Prec@5 85.000 (84.288)
Epoch: [79][2200/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.4993 (1.6467)	Prec@1 63.500 (55.765)	Prec@5 84.500 (84.287)
Epoch: [79][2210/9018]	Time 0.610 (0.618)	Data 0.001 (0.003)	Loss 1.5267 (1.6461)	Prec@1 61.000 (55.784)	Prec@5 87.500 (84.298)
Epoch: [79][2220/9018]	Time 0.623 (0.618)	Data 0.001 (0.003)	Loss 1.7966 (1.6462)	Prec@1 54.000 (55.781)	Prec@5 80.000 (84.298)
Epoch: [79][2230/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 1.7406 (1.6461)	Prec@1 54.000 (55.778)	Prec@5 84.500 (84.301)
Epoch: [79][2240/9018]	Time 0.768 (0.618)	Data 0.001 (0.003)	Loss 1.7392 (1.6462)	Prec@1 50.500 (55.773)	Prec@5 82.500 (84.301)
Epoch: [79][2250/9018]	Time 0.612 (0.618)	Data 0.001 (0.003)	Loss 1.4650 (1.6462)	Prec@1 61.500 (55.769)	Prec@5 87.000 (84.296)
Epoch: [79][2260/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.6076 (1.6467)	Prec@1 55.000 (55.758)	Prec@5 85.500 (84.291)
Epoch: [79][2270/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.5565 (1.6464)	Prec@1 59.000 (55.766)	Prec@5 86.500 (84.293)
Epoch: [79][2280/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.5931 (1.6462)	Prec@1 55.500 (55.768)	Prec@5 87.000 (84.297)
Epoch: [79][2290/9018]	Time 0.611 (0.618)	Data 0.001 (0.003)	Loss 1.6038 (1.6462)	Prec@1 56.500 (55.769)	Prec@5 85.500 (84.297)
Epoch: [79][2300/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.6652 (1.6463)	Prec@1 52.500 (55.766)	Prec@5 85.500 (84.298)
Epoch: [79][2310/9018]	Time 0.610 (0.618)	Data 0.001 (0.003)	Loss 1.7011 (1.6463)	Prec@1 50.000 (55.762)	Prec@5 82.000 (84.297)
Epoch: [79][2320/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.7191 (1.6465)	Prec@1 53.500 (55.757)	Prec@5 84.500 (84.291)
Epoch: [79][2330/9018]	Time 0.590 (0.618)	Data 0.001 (0.003)	Loss 1.7099 (1.6466)	Prec@1 54.000 (55.755)	Prec@5 87.000 (84.291)
Epoch: [79][2340/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.7928 (1.6464)	Prec@1 48.500 (55.755)	Prec@5 82.000 (84.297)
Epoch: [79][2350/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.9653 (1.6468)	Prec@1 51.000 (55.748)	Prec@5 77.500 (84.288)
Epoch: [79][2360/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.6739 (1.6469)	Prec@1 55.500 (55.749)	Prec@5 84.500 (84.285)
Epoch: [79][2370/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 1.7894 (1.6471)	Prec@1 58.000 (55.745)	Prec@5 79.000 (84.279)
Epoch: [79][2380/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.7740 (1.6471)	Prec@1 55.000 (55.742)	Prec@5 82.000 (84.280)
Epoch: [79][2390/9018]	Time 0.606 (0.618)	Data 0.012 (0.003)	Loss 1.5549 (1.6472)	Prec@1 51.500 (55.737)	Prec@5 84.500 (84.279)
Epoch: [79][2400/9018]	Time 0.608 (0.618)	Data 0.003 (0.003)	Loss 1.8503 (1.6473)	Prec@1 53.500 (55.736)	Prec@5 80.000 (84.278)
Epoch: [79][2410/9018]	Time 0.621 (0.618)	Data 0.001 (0.003)	Loss 1.6793 (1.6473)	Prec@1 57.000 (55.740)	Prec@5 87.500 (84.277)
Epoch: [79][2420/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.6076 (1.6473)	Prec@1 58.000 (55.742)	Prec@5 85.000 (84.277)
Epoch: [79][2430/9018]	Time 0.622 (0.618)	Data 0.013 (0.003)	Loss 1.7339 (1.6476)	Prec@1 50.000 (55.734)	Prec@5 84.000 (84.273)
Epoch: [79][2440/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.6202 (1.6477)	Prec@1 59.000 (55.729)	Prec@5 82.000 (84.273)
Epoch: [79][2450/9018]	Time 0.634 (0.618)	Data 0.014 (0.003)	Loss 1.5257 (1.6477)	Prec@1 56.000 (55.727)	Prec@5 87.000 (84.273)
Epoch: [79][2460/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 1.5888 (1.6477)	Prec@1 59.000 (55.728)	Prec@5 85.000 (84.276)
Epoch: [79][2470/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.5780 (1.6478)	Prec@1 56.500 (55.727)	Prec@5 86.500 (84.278)
Epoch: [79][2480/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.7869 (1.6478)	Prec@1 52.000 (55.731)	Prec@5 82.000 (84.277)
Epoch: [79][2490/9018]	Time 0.630 (0.618)	Data 0.001 (0.003)	Loss 1.8618 (1.6475)	Prec@1 52.500 (55.733)	Prec@5 81.000 (84.281)
Epoch: [79][2500/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.7513 (1.6476)	Prec@1 56.000 (55.728)	Prec@5 85.500 (84.279)
Epoch: [79][2510/9018]	Time 0.618 (0.618)	Data 0.014 (0.003)	Loss 1.4888 (1.6474)	Prec@1 58.500 (55.729)	Prec@5 89.500 (84.280)
Epoch: [79][2520/9018]	Time 0.778 (0.618)	Data 0.001 (0.003)	Loss 1.7465 (1.6477)	Prec@1 55.000 (55.723)	Prec@5 83.500 (84.276)
Epoch: [79][2530/9018]	Time 0.604 (0.618)	Data 0.014 (0.003)	Loss 1.7180 (1.6478)	Prec@1 50.500 (55.718)	Prec@5 84.500 (84.274)
Epoch: [79][2540/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.7636 (1.6479)	Prec@1 57.500 (55.717)	Prec@5 81.500 (84.273)
Epoch: [79][2550/9018]	Time 0.619 (0.618)	Data 0.001 (0.003)	Loss 1.4991 (1.6480)	Prec@1 60.000 (55.713)	Prec@5 87.000 (84.274)
Epoch: [79][2560/9018]	Time 0.619 (0.618)	Data 0.001 (0.003)	Loss 1.8502 (1.6482)	Prec@1 49.000 (55.708)	Prec@5 84.500 (84.270)
Epoch: [79][2570/9018]	Time 0.733 (0.618)	Data 0.001 (0.003)	Loss 1.5516 (1.6482)	Prec@1 57.500 (55.714)	Prec@5 88.000 (84.271)
Epoch: [79][2580/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.6709 (1.6483)	Prec@1 56.500 (55.712)	Prec@5 83.500 (84.269)
Epoch: [79][2590/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.6127 (1.6485)	Prec@1 56.000 (55.707)	Prec@5 84.000 (84.266)
Epoch: [79][2600/9018]	Time 0.625 (0.618)	Data 0.001 (0.003)	Loss 1.6412 (1.6488)	Prec@1 58.500 (55.698)	Prec@5 85.500 (84.265)
Epoch: [79][2610/9018]	Time 0.613 (0.618)	Data 0.001 (0.003)	Loss 1.5537 (1.6490)	Prec@1 57.500 (55.695)	Prec@5 86.500 (84.264)
Epoch: [79][2620/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.7478 (1.6491)	Prec@1 53.000 (55.692)	Prec@5 81.500 (84.261)
Epoch: [79][2630/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 1.6876 (1.6491)	Prec@1 52.500 (55.691)	Prec@5 84.000 (84.261)
Epoch: [79][2640/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.5779 (1.6493)	Prec@1 59.000 (55.688)	Prec@5 86.000 (84.261)
Epoch: [79][2650/9018]	Time 0.612 (0.618)	Data 0.001 (0.003)	Loss 1.5867 (1.6491)	Prec@1 58.500 (55.690)	Prec@5 86.000 (84.265)
Epoch: [79][2660/9018]	Time 0.627 (0.618)	Data 0.005 (0.003)	Loss 1.5456 (1.6492)	Prec@1 55.500 (55.687)	Prec@5 86.500 (84.265)
Epoch: [79][2670/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 1.5843 (1.6494)	Prec@1 57.000 (55.678)	Prec@5 86.500 (84.261)
Epoch: [79][2680/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.5738 (1.6495)	Prec@1 59.000 (55.679)	Prec@5 86.500 (84.255)
Epoch: [79][2690/9018]	Time 0.610 (0.618)	Data 0.001 (0.003)	Loss 1.4491 (1.6496)	Prec@1 55.000 (55.671)	Prec@5 89.500 (84.255)
Epoch: [79][2700/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.6901 (1.6496)	Prec@1 54.500 (55.672)	Prec@5 85.000 (84.259)
Epoch: [79][2710/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.4768 (1.6494)	Prec@1 60.500 (55.675)	Prec@5 85.500 (84.261)
Epoch: [79][2720/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 1.5145 (1.6494)	Prec@1 60.000 (55.679)	Prec@5 84.000 (84.260)
Epoch: [79][2730/9018]	Time 0.632 (0.618)	Data 0.001 (0.003)	Loss 1.6429 (1.6494)	Prec@1 52.000 (55.682)	Prec@5 87.000 (84.259)
Epoch: [79][2740/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 1.4670 (1.6495)	Prec@1 59.000 (55.683)	Prec@5 88.500 (84.258)
Epoch: [79][2750/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 1.6660 (1.6494)	Prec@1 53.500 (55.682)	Prec@5 83.500 (84.256)
Epoch: [79][2760/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 1.5744 (1.6495)	Prec@1 59.500 (55.676)	Prec@5 83.500 (84.257)
Epoch: [79][2770/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.6754 (1.6498)	Prec@1 55.500 (55.666)	Prec@5 83.500 (84.251)
Epoch: [79][2780/9018]	Time 0.625 (0.618)	Data 0.006 (0.003)	Loss 1.7473 (1.6497)	Prec@1 52.500 (55.663)	Prec@5 84.500 (84.255)
Epoch: [79][2790/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 1.9238 (1.6498)	Prec@1 51.500 (55.660)	Prec@5 81.500 (84.254)
Epoch: [79][2800/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.7682 (1.6499)	Prec@1 49.500 (55.659)	Prec@5 83.000 (84.250)
Epoch: [79][2810/9018]	Time 0.612 (0.618)	Data 0.001 (0.003)	Loss 1.5705 (1.6499)	Prec@1 57.500 (55.659)	Prec@5 84.000 (84.251)
Epoch: [79][2820/9018]	Time 0.610 (0.618)	Data 0.001 (0.003)	Loss 1.5034 (1.6498)	Prec@1 60.500 (55.661)	Prec@5 86.000 (84.254)
Epoch: [79][2830/9018]	Time 0.627 (0.618)	Data 0.001 (0.003)	Loss 1.8076 (1.6500)	Prec@1 51.500 (55.655)	Prec@5 81.000 (84.252)
Epoch: [79][2840/9018]	Time 0.592 (0.618)	Data 0.001 (0.003)	Loss 1.4400 (1.6498)	Prec@1 60.000 (55.657)	Prec@5 87.000 (84.252)
Epoch: [79][2850/9018]	Time 0.758 (0.618)	Data 0.001 (0.003)	Loss 1.4964 (1.6497)	Prec@1 58.000 (55.662)	Prec@5 87.000 (84.254)
Epoch: [79][2860/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.6924 (1.6497)	Prec@1 56.500 (55.660)	Prec@5 81.000 (84.252)
Epoch: [79][2870/9018]	Time 0.616 (0.618)	Data 0.003 (0.003)	Loss 1.7468 (1.6499)	Prec@1 53.000 (55.654)	Prec@5 81.500 (84.249)
Epoch: [79][2880/9018]	Time 0.626 (0.618)	Data 0.001 (0.003)	Loss 1.7157 (1.6501)	Prec@1 54.000 (55.653)	Prec@5 83.000 (84.245)
Epoch: [79][2890/9018]	Time 0.611 (0.618)	Data 0.001 (0.003)	Loss 1.4444 (1.6500)	Prec@1 59.000 (55.655)	Prec@5 85.500 (84.244)
Epoch: [79][2900/9018]	Time 0.752 (0.618)	Data 0.001 (0.003)	Loss 1.7052 (1.6500)	Prec@1 54.500 (55.656)	Prec@5 84.500 (84.245)
Epoch: [79][2910/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.5293 (1.6500)	Prec@1 59.000 (55.656)	Prec@5 85.000 (84.241)
Epoch: [79][2920/9018]	Time 0.589 (0.618)	Data 0.001 (0.003)	Loss 1.4816 (1.6500)	Prec@1 61.000 (55.657)	Prec@5 88.500 (84.242)
Epoch: [79][2930/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.6394 (1.6498)	Prec@1 53.000 (55.658)	Prec@5 87.000 (84.249)
Epoch: [79][2940/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.8052 (1.6498)	Prec@1 49.500 (55.657)	Prec@5 84.000 (84.250)
Epoch: [79][2950/9018]	Time 0.622 (0.618)	Data 0.001 (0.003)	Loss 1.4976 (1.6500)	Prec@1 59.000 (55.650)	Prec@5 89.000 (84.250)
Epoch: [79][2960/9018]	Time 0.621 (0.618)	Data 0.001 (0.003)	Loss 1.7543 (1.6499)	Prec@1 54.000 (55.654)	Prec@5 82.000 (84.251)
Epoch: [79][2970/9018]	Time 0.630 (0.618)	Data 0.001 (0.003)	Loss 1.7184 (1.6500)	Prec@1 55.000 (55.654)	Prec@5 83.000 (84.252)
Epoch: [79][2980/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 1.6973 (1.6500)	Prec@1 52.000 (55.652)	Prec@5 85.500 (84.255)
Epoch: [79][2990/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 1.5550 (1.6500)	Prec@1 55.500 (55.652)	Prec@5 86.500 (84.255)
Epoch: [79][3000/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.8054 (1.6500)	Prec@1 49.000 (55.654)	Prec@5 82.000 (84.256)
Epoch: [79][3010/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.6981 (1.6501)	Prec@1 57.000 (55.652)	Prec@5 86.000 (84.261)
Epoch: [79][3020/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.7529 (1.6503)	Prec@1 54.000 (55.651)	Prec@5 81.000 (84.256)
Epoch: [79][3030/9018]	Time 0.619 (0.618)	Data 0.001 (0.003)	Loss 1.5526 (1.6502)	Prec@1 56.500 (55.649)	Prec@5 85.500 (84.261)
Epoch: [79][3040/9018]	Time 0.676 (0.618)	Data 0.001 (0.003)	Loss 1.6071 (1.6505)	Prec@1 55.000 (55.650)	Prec@5 85.000 (84.255)
Epoch: [79][3050/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 1.4074 (1.6507)	Prec@1 64.500 (55.647)	Prec@5 88.500 (84.253)
Epoch: [79][3060/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 1.7173 (1.6509)	Prec@1 54.000 (55.640)	Prec@5 82.000 (84.248)
Epoch: [79][3070/9018]	Time 0.628 (0.618)	Data 0.001 (0.003)	Loss 1.4629 (1.6510)	Prec@1 61.500 (55.640)	Prec@5 87.000 (84.247)
Epoch: [79][3080/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.7285 (1.6510)	Prec@1 58.000 (55.639)	Prec@5 82.000 (84.247)
Epoch: [79][3090/9018]	Time 0.609 (0.618)	Data 0.001 (0.003)	Loss 1.6223 (1.6511)	Prec@1 57.000 (55.638)	Prec@5 85.000 (84.244)
Epoch: [79][3100/9018]	Time 0.624 (0.618)	Data 0.005 (0.003)	Loss 1.7980 (1.6511)	Prec@1 53.000 (55.637)	Prec@5 83.500 (84.245)
Epoch: [79][3110/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.7397 (1.6512)	Prec@1 58.500 (55.642)	Prec@5 82.500 (84.244)
Epoch: [79][3120/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.6805 (1.6514)	Prec@1 54.500 (55.634)	Prec@5 85.500 (84.245)
Epoch: [79][3130/9018]	Time 0.629 (0.618)	Data 0.001 (0.003)	Loss 1.5864 (1.6515)	Prec@1 59.000 (55.638)	Prec@5 87.500 (84.244)
Epoch: [79][3140/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.4626 (1.6513)	Prec@1 62.500 (55.644)	Prec@5 86.500 (84.245)
Epoch: [79][3150/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.6940 (1.6512)	Prec@1 58.000 (55.650)	Prec@5 84.500 (84.247)
Epoch: [79][3160/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.7271 (1.6511)	Prec@1 52.000 (55.651)	Prec@5 84.000 (84.252)
Epoch: [79][3170/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.7549 (1.6514)	Prec@1 54.000 (55.646)	Prec@5 80.000 (84.244)
Epoch: [79][3180/9018]	Time 0.730 (0.618)	Data 0.001 (0.003)	Loss 1.6592 (1.6514)	Prec@1 56.000 (55.643)	Prec@5 86.000 (84.243)
Epoch: [79][3190/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.5897 (1.6513)	Prec@1 55.500 (55.643)	Prec@5 87.000 (84.246)
Epoch: [79][3200/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.8089 (1.6515)	Prec@1 53.000 (55.638)	Prec@5 84.000 (84.242)
Epoch: [79][3210/9018]	Time 0.630 (0.618)	Data 0.017 (0.003)	Loss 1.8394 (1.6516)	Prec@1 46.500 (55.637)	Prec@5 83.500 (84.244)
Epoch: [79][3220/9018]	Time 0.632 (0.618)	Data 0.001 (0.003)	Loss 1.6258 (1.6515)	Prec@1 62.000 (55.637)	Prec@5 81.000 (84.245)
Epoch: [79][3230/9018]	Time 0.727 (0.618)	Data 0.001 (0.003)	Loss 1.7099 (1.6515)	Prec@1 55.500 (55.640)	Prec@5 83.000 (84.245)
Epoch: [79][3240/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.5159 (1.6513)	Prec@1 59.500 (55.642)	Prec@5 87.500 (84.251)
Epoch: [79][3250/9018]	Time 0.590 (0.618)	Data 0.001 (0.003)	Loss 1.7053 (1.6513)	Prec@1 52.500 (55.638)	Prec@5 86.500 (84.253)
Epoch: [79][3260/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.5758 (1.6513)	Prec@1 57.000 (55.635)	Prec@5 84.500 (84.251)
Epoch: [79][3270/9018]	Time 0.592 (0.618)	Data 0.001 (0.003)	Loss 1.7442 (1.6514)	Prec@1 53.500 (55.634)	Prec@5 83.500 (84.249)
Epoch: [79][3280/9018]	Time 0.623 (0.618)	Data 0.001 (0.003)	Loss 1.6857 (1.6515)	Prec@1 53.500 (55.632)	Prec@5 84.500 (84.247)
Epoch: [79][3290/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 1.7232 (1.6514)	Prec@1 56.000 (55.636)	Prec@5 82.000 (84.248)
Epoch: [79][3300/9018]	Time 0.644 (0.618)	Data 0.008 (0.003)	Loss 1.5423 (1.6515)	Prec@1 55.500 (55.633)	Prec@5 86.500 (84.250)
Epoch: [79][3310/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 1.6408 (1.6513)	Prec@1 57.000 (55.638)	Prec@5 85.000 (84.251)
Epoch: [79][3320/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.5519 (1.6513)	Prec@1 60.000 (55.638)	Prec@5 85.500 (84.251)
Epoch: [79][3330/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.5501 (1.6514)	Prec@1 56.000 (55.638)	Prec@5 88.500 (84.252)
Epoch: [79][3340/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 1.7158 (1.6514)	Prec@1 55.500 (55.640)	Prec@5 85.500 (84.253)
Epoch: [79][3350/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 1.6208 (1.6514)	Prec@1 60.500 (55.641)	Prec@5 84.000 (84.254)
Epoch: [79][3360/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 1.6611 (1.6515)	Prec@1 55.500 (55.637)	Prec@5 83.000 (84.251)
Epoch: [79][3370/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.6740 (1.6515)	Prec@1 55.000 (55.636)	Prec@5 85.000 (84.251)
Epoch: [79][3380/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.6170 (1.6516)	Prec@1 58.000 (55.633)	Prec@5 83.500 (84.250)
Epoch: [79][3390/9018]	Time 0.627 (0.618)	Data 0.013 (0.003)	Loss 1.7184 (1.6515)	Prec@1 50.000 (55.633)	Prec@5 84.000 (84.252)
Epoch: [79][3400/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.3978 (1.6516)	Prec@1 64.500 (55.632)	Prec@5 87.500 (84.251)
Epoch: [79][3410/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 1.5482 (1.6515)	Prec@1 59.500 (55.631)	Prec@5 85.000 (84.252)
Epoch: [79][3420/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.6930 (1.6515)	Prec@1 54.500 (55.631)	Prec@5 83.500 (84.253)
Epoch: [79][3430/9018]	Time 0.591 (0.618)	Data 0.001 (0.003)	Loss 1.6926 (1.6516)	Prec@1 53.000 (55.628)	Prec@5 84.500 (84.255)
Epoch: [79][3440/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.7174 (1.6517)	Prec@1 52.500 (55.621)	Prec@5 82.500 (84.252)
Epoch: [79][3450/9018]	Time 0.623 (0.618)	Data 0.001 (0.003)	Loss 1.5848 (1.6516)	Prec@1 57.000 (55.626)	Prec@5 85.000 (84.253)
Epoch: [79][3460/9018]	Time 0.610 (0.618)	Data 0.001 (0.003)	Loss 1.5265 (1.6516)	Prec@1 61.000 (55.631)	Prec@5 89.000 (84.252)
Epoch: [79][3470/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 1.6118 (1.6516)	Prec@1 53.500 (55.631)	Prec@5 84.000 (84.256)
Epoch: [79][3480/9018]	Time 0.611 (0.618)	Data 0.001 (0.003)	Loss 1.7948 (1.6515)	Prec@1 52.000 (55.632)	Prec@5 79.000 (84.258)
Epoch: [79][3490/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.8585 (1.6518)	Prec@1 54.000 (55.629)	Prec@5 82.000 (84.252)
Epoch: [79][3500/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 1.5471 (1.6518)	Prec@1 58.000 (55.634)	Prec@5 86.000 (84.248)
Epoch: [79][3510/9018]	Time 0.721 (0.618)	Data 0.001 (0.003)	Loss 1.4420 (1.6519)	Prec@1 56.500 (55.630)	Prec@5 88.000 (84.247)
Epoch: [79][3520/9018]	Time 0.622 (0.618)	Data 0.001 (0.003)	Loss 1.6874 (1.6519)	Prec@1 51.500 (55.630)	Prec@5 86.000 (84.247)
Epoch: [79][3530/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 1.6485 (1.6520)	Prec@1 55.500 (55.629)	Prec@5 85.000 (84.245)
Epoch: [79][3540/9018]	Time 0.623 (0.618)	Data 0.001 (0.003)	Loss 1.8515 (1.6520)	Prec@1 54.500 (55.632)	Prec@5 79.000 (84.247)
Epoch: [79][3550/9018]	Time 0.607 (0.618)	Data 0.009 (0.003)	Loss 1.6375 (1.6522)	Prec@1 57.500 (55.630)	Prec@5 84.000 (84.241)
Epoch: [79][3560/9018]	Time 0.775 (0.618)	Data 0.001 (0.003)	Loss 1.7274 (1.6522)	Prec@1 52.000 (55.630)	Prec@5 82.500 (84.241)
Epoch: [79][3570/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 1.7861 (1.6524)	Prec@1 54.500 (55.625)	Prec@5 80.500 (84.238)
Epoch: [79][3580/9018]	Time 0.631 (0.618)	Data 0.011 (0.003)	Loss 2.0682 (1.6524)	Prec@1 47.000 (55.624)	Prec@5 77.000 (84.236)
Epoch: [79][3590/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 1.6514 (1.6524)	Prec@1 55.000 (55.623)	Prec@5 86.000 (84.236)
Epoch: [79][3600/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.8700 (1.6524)	Prec@1 47.000 (55.623)	Prec@5 79.000 (84.236)
Epoch: [79][3610/9018]	Time 0.633 (0.618)	Data 0.001 (0.003)	Loss 1.6818 (1.6524)	Prec@1 57.000 (55.622)	Prec@5 83.000 (84.236)
Epoch: [79][3620/9018]	Time 0.619 (0.618)	Data 0.001 (0.003)	Loss 1.7231 (1.6525)	Prec@1 57.500 (55.621)	Prec@5 81.000 (84.235)
Epoch: [79][3630/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.8757 (1.6523)	Prec@1 53.000 (55.622)	Prec@5 78.500 (84.237)
Epoch: [79][3640/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.6200 (1.6522)	Prec@1 56.000 (55.623)	Prec@5 86.500 (84.238)
Epoch: [79][3650/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.4114 (1.6522)	Prec@1 62.000 (55.623)	Prec@5 87.000 (84.238)
Epoch: [79][3660/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.6821 (1.6522)	Prec@1 55.500 (55.622)	Prec@5 83.500 (84.237)
Epoch: [79][3670/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.5426 (1.6521)	Prec@1 58.500 (55.626)	Prec@5 85.000 (84.237)
Epoch: [79][3680/9018]	Time 0.617 (0.618)	Data 0.016 (0.003)	Loss 1.4414 (1.6519)	Prec@1 59.000 (55.630)	Prec@5 87.500 (84.240)
Epoch: [79][3690/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.4163 (1.6519)	Prec@1 62.000 (55.629)	Prec@5 84.000 (84.240)
Epoch: [79][3700/9018]	Time 0.622 (0.618)	Data 0.001 (0.003)	Loss 1.6575 (1.6520)	Prec@1 56.500 (55.629)	Prec@5 86.500 (84.240)
Epoch: [79][3710/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.7458 (1.6520)	Prec@1 54.500 (55.628)	Prec@5 83.500 (84.240)
Epoch: [79][3720/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 1.5784 (1.6520)	Prec@1 61.000 (55.630)	Prec@5 86.500 (84.239)
Epoch: [79][3730/9018]	Time 0.619 (0.618)	Data 0.001 (0.003)	Loss 1.8132 (1.6522)	Prec@1 53.500 (55.626)	Prec@5 82.000 (84.235)
Epoch: [79][3740/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.4050 (1.6523)	Prec@1 60.500 (55.624)	Prec@5 89.000 (84.233)
Epoch: [79][3750/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 1.6252 (1.6523)	Prec@1 55.000 (55.624)	Prec@5 85.000 (84.234)
Epoch: [79][3760/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.4504 (1.6524)	Prec@1 59.000 (55.621)	Prec@5 88.000 (84.234)
Epoch: [79][3770/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.7715 (1.6527)	Prec@1 56.000 (55.612)	Prec@5 82.000 (84.227)
Epoch: [79][3780/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.6229 (1.6526)	Prec@1 56.500 (55.611)	Prec@5 84.000 (84.226)
Epoch: [79][3790/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.8868 (1.6526)	Prec@1 49.000 (55.610)	Prec@5 78.500 (84.224)
Epoch: [79][3800/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.6553 (1.6528)	Prec@1 56.000 (55.603)	Prec@5 87.000 (84.225)
Epoch: [79][3810/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.6272 (1.6528)	Prec@1 58.000 (55.605)	Prec@5 85.000 (84.227)
Epoch: [79][3820/9018]	Time 0.625 (0.618)	Data 0.001 (0.003)	Loss 1.6888 (1.6529)	Prec@1 54.000 (55.599)	Prec@5 84.500 (84.225)
Epoch: [79][3830/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 1.7780 (1.6528)	Prec@1 52.000 (55.603)	Prec@5 82.000 (84.228)
Epoch: [79][3840/9018]	Time 0.778 (0.618)	Data 0.004 (0.003)	Loss 1.4613 (1.6528)	Prec@1 60.000 (55.604)	Prec@5 90.000 (84.231)
Epoch: [79][3850/9018]	Time 0.602 (0.618)	Data 0.003 (0.003)	Loss 1.9685 (1.6528)	Prec@1 53.000 (55.603)	Prec@5 79.500 (84.231)
Epoch: [79][3860/9018]	Time 0.609 (0.618)	Data 0.001 (0.003)	Loss 1.8826 (1.6529)	Prec@1 48.000 (55.602)	Prec@5 80.000 (84.229)
Epoch: [79][3870/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.7419 (1.6529)	Prec@1 53.500 (55.602)	Prec@5 82.000 (84.229)
Epoch: [79][3880/9018]	Time 0.626 (0.618)	Data 0.001 (0.003)	Loss 1.5679 (1.6528)	Prec@1 59.000 (55.606)	Prec@5 86.500 (84.229)
Epoch: [79][3890/9018]	Time 0.724 (0.618)	Data 0.001 (0.003)	Loss 1.8405 (1.6527)	Prec@1 50.000 (55.608)	Prec@5 83.000 (84.234)
Epoch: [79][3900/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 1.6093 (1.6527)	Prec@1 54.500 (55.607)	Prec@5 85.000 (84.235)
Epoch: [79][3910/9018]	Time 0.590 (0.618)	Data 0.001 (0.003)	Loss 1.4487 (1.6528)	Prec@1 61.500 (55.607)	Prec@5 88.000 (84.235)
Epoch: [79][3920/9018]	Time 0.605 (0.618)	Data 0.005 (0.003)	Loss 1.7286 (1.6527)	Prec@1 49.000 (55.606)	Prec@5 83.500 (84.237)
Epoch: [79][3930/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 1.5056 (1.6526)	Prec@1 61.000 (55.609)	Prec@5 84.500 (84.240)
Epoch: [79][3940/9018]	Time 0.632 (0.618)	Data 0.001 (0.003)	Loss 1.7821 (1.6529)	Prec@1 54.500 (55.607)	Prec@5 81.000 (84.238)
Epoch: [79][3950/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.4900 (1.6529)	Prec@1 59.500 (55.606)	Prec@5 88.000 (84.237)
Epoch: [79][3960/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.6801 (1.6529)	Prec@1 53.500 (55.603)	Prec@5 85.500 (84.235)
Epoch: [79][3970/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.8134 (1.6530)	Prec@1 51.500 (55.600)	Prec@5 77.500 (84.231)
Epoch: [79][3980/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.6226 (1.6529)	Prec@1 58.000 (55.604)	Prec@5 81.000 (84.233)
Epoch: [79][3990/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 1.4413 (1.6528)	Prec@1 64.500 (55.609)	Prec@5 87.500 (84.235)
Epoch: [79][4000/9018]	Time 0.592 (0.618)	Data 0.001 (0.003)	Loss 1.7345 (1.6528)	Prec@1 53.500 (55.609)	Prec@5 82.000 (84.235)
Epoch: [79][4010/9018]	Time 0.634 (0.618)	Data 0.001 (0.003)	Loss 1.4695 (1.6528)	Prec@1 61.500 (55.609)	Prec@5 88.500 (84.236)
Epoch: [79][4020/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 1.7086 (1.6529)	Prec@1 54.000 (55.605)	Prec@5 84.000 (84.236)
Epoch: [79][4030/9018]	Time 0.630 (0.618)	Data 0.001 (0.003)	Loss 1.5214 (1.6527)	Prec@1 61.000 (55.609)	Prec@5 83.000 (84.239)
Epoch: [79][4040/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.7251 (1.6527)	Prec@1 49.000 (55.611)	Prec@5 81.000 (84.239)
Epoch: [79][4050/9018]	Time 0.611 (0.618)	Data 0.001 (0.003)	Loss 1.4427 (1.6526)	Prec@1 63.500 (55.615)	Prec@5 87.000 (84.238)
Epoch: [79][4060/9018]	Time 0.599 (0.618)	Data 0.001 (0.003)	Loss 1.6366 (1.6527)	Prec@1 57.500 (55.616)	Prec@5 84.500 (84.235)
Epoch: [79][4070/9018]	Time 0.592 (0.618)	Data 0.001 (0.003)	Loss 1.5163 (1.6527)	Prec@1 53.500 (55.615)	Prec@5 86.000 (84.233)
Epoch: [79][4080/9018]	Time 0.590 (0.618)	Data 0.001 (0.003)	Loss 1.7877 (1.6528)	Prec@1 53.000 (55.612)	Prec@5 80.000 (84.229)
Epoch: [79][4090/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.5598 (1.6528)	Prec@1 56.500 (55.613)	Prec@5 84.000 (84.230)
Epoch: [79][4100/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.6293 (1.6528)	Prec@1 57.500 (55.612)	Prec@5 84.500 (84.229)
Epoch: [79][4110/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.7072 (1.6529)	Prec@1 53.500 (55.611)	Prec@5 83.000 (84.229)
Epoch: [79][4120/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.6302 (1.6529)	Prec@1 59.000 (55.613)	Prec@5 84.000 (84.229)
Epoch: [79][4130/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 1.5797 (1.6529)	Prec@1 54.500 (55.612)	Prec@5 89.000 (84.228)
Epoch: [79][4140/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.7811 (1.6529)	Prec@1 51.000 (55.611)	Prec@5 83.500 (84.230)
Epoch: [79][4150/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.5474 (1.6528)	Prec@1 59.000 (55.613)	Prec@5 86.500 (84.230)
Epoch: [79][4160/9018]	Time 0.635 (0.618)	Data 0.001 (0.003)	Loss 1.6612 (1.6529)	Prec@1 57.000 (55.612)	Prec@5 82.500 (84.228)
Epoch: [79][4170/9018]	Time 0.725 (0.618)	Data 0.001 (0.003)	Loss 1.7140 (1.6529)	Prec@1 54.500 (55.611)	Prec@5 84.000 (84.228)
Epoch: [79][4180/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.8144 (1.6530)	Prec@1 53.500 (55.611)	Prec@5 80.000 (84.227)
Epoch: [79][4190/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 1.7256 (1.6532)	Prec@1 51.500 (55.605)	Prec@5 82.500 (84.224)
Epoch: [79][4200/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 1.5171 (1.6532)	Prec@1 57.500 (55.604)	Prec@5 88.000 (84.224)
Epoch: [79][4210/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.4681 (1.6532)	Prec@1 59.000 (55.603)	Prec@5 89.000 (84.227)
Epoch: [79][4220/9018]	Time 0.777 (0.618)	Data 0.001 (0.003)	Loss 1.6657 (1.6533)	Prec@1 54.000 (55.604)	Prec@5 84.500 (84.225)
Epoch: [79][4230/9018]	Time 0.610 (0.618)	Data 0.001 (0.003)	Loss 1.7577 (1.6534)	Prec@1 55.500 (55.603)	Prec@5 84.000 (84.225)
Epoch: [79][4240/9018]	Time 0.610 (0.618)	Data 0.001 (0.003)	Loss 1.5520 (1.6534)	Prec@1 58.000 (55.602)	Prec@5 87.000 (84.226)
Epoch: [79][4250/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 1.4181 (1.6533)	Prec@1 58.500 (55.602)	Prec@5 86.500 (84.225)
Epoch: [79][4260/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.7445 (1.6534)	Prec@1 51.500 (55.599)	Prec@5 82.500 (84.225)
Epoch: [79][4270/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 1.6248 (1.6533)	Prec@1 58.000 (55.601)	Prec@5 84.000 (84.228)
Epoch: [79][4280/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.5586 (1.6533)	Prec@1 60.000 (55.601)	Prec@5 86.000 (84.228)
Epoch: [79][4290/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 1.6809 (1.6534)	Prec@1 55.500 (55.596)	Prec@5 85.500 (84.226)
Epoch: [79][4300/9018]	Time 0.625 (0.618)	Data 0.004 (0.003)	Loss 1.7135 (1.6535)	Prec@1 55.000 (55.596)	Prec@5 80.500 (84.224)
Epoch: [79][4310/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.7747 (1.6534)	Prec@1 52.500 (55.600)	Prec@5 82.000 (84.227)
Epoch: [79][4320/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.8615 (1.6535)	Prec@1 53.500 (55.596)	Prec@5 82.500 (84.224)
Epoch: [79][4330/9018]	Time 0.631 (0.618)	Data 0.001 (0.003)	Loss 1.4793 (1.6534)	Prec@1 59.000 (55.598)	Prec@5 86.500 (84.227)
Epoch: [79][4340/9018]	Time 0.613 (0.618)	Data 0.001 (0.003)	Loss 1.7102 (1.6533)	Prec@1 51.500 (55.598)	Prec@5 83.500 (84.228)
Epoch: [79][4350/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.5485 (1.6533)	Prec@1 57.500 (55.600)	Prec@5 86.000 (84.228)
Epoch: [79][4360/9018]	Time 0.619 (0.618)	Data 0.001 (0.003)	Loss 1.4305 (1.6532)	Prec@1 63.000 (55.602)	Prec@5 87.000 (84.230)
Epoch: [79][4370/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.6658 (1.6533)	Prec@1 55.000 (55.600)	Prec@5 85.500 (84.227)
Epoch: [79][4380/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.8075 (1.6533)	Prec@1 56.000 (55.601)	Prec@5 79.000 (84.224)
Epoch: [79][4390/9018]	Time 0.623 (0.618)	Data 0.001 (0.003)	Loss 1.8945 (1.6535)	Prec@1 51.000 (55.600)	Prec@5 79.500 (84.221)
Epoch: [79][4400/9018]	Time 0.615 (0.618)	Data 0.001 (0.003)	Loss 1.5838 (1.6535)	Prec@1 57.500 (55.598)	Prec@5 87.000 (84.220)
Epoch: [79][4410/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 1.5183 (1.6534)	Prec@1 59.500 (55.603)	Prec@5 85.500 (84.223)
Epoch: [79][4420/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 1.6696 (1.6533)	Prec@1 54.500 (55.606)	Prec@5 84.000 (84.225)
Epoch: [79][4430/9018]	Time 0.629 (0.618)	Data 0.003 (0.003)	Loss 1.9243 (1.6533)	Prec@1 51.000 (55.605)	Prec@5 77.500 (84.224)
Epoch: [79][4440/9018]	Time 0.613 (0.618)	Data 0.001 (0.003)	Loss 1.6708 (1.6534)	Prec@1 56.500 (55.608)	Prec@5 83.000 (84.224)
Epoch: [79][4450/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 1.6171 (1.6532)	Prec@1 59.000 (55.611)	Prec@5 83.500 (84.228)
Epoch: [79][4460/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 1.4798 (1.6532)	Prec@1 62.500 (55.613)	Prec@5 85.500 (84.228)
Epoch: [79][4470/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.6000 (1.6531)	Prec@1 58.000 (55.616)	Prec@5 83.500 (84.230)
Epoch: [79][4480/9018]	Time 0.635 (0.618)	Data 0.001 (0.003)	Loss 1.6142 (1.6532)	Prec@1 53.000 (55.611)	Prec@5 87.000 (84.228)
Epoch: [79][4490/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.4373 (1.6532)	Prec@1 60.500 (55.613)	Prec@5 87.500 (84.227)
Epoch: [79][4500/9018]	Time 0.730 (0.618)	Data 0.001 (0.003)	Loss 1.6162 (1.6531)	Prec@1 59.000 (55.612)	Prec@5 85.000 (84.229)
Epoch: [79][4510/9018]	Time 0.618 (0.618)	Data 0.001 (0.003)	Loss 1.5610 (1.6532)	Prec@1 60.000 (55.612)	Prec@5 82.500 (84.228)
Epoch: [79][4520/9018]	Time 0.592 (0.618)	Data 0.001 (0.003)	Loss 1.6680 (1.6532)	Prec@1 56.000 (55.612)	Prec@5 85.000 (84.228)
Epoch: [79][4530/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 1.5209 (1.6532)	Prec@1 55.000 (55.610)	Prec@5 87.500 (84.228)
Epoch: [79][4540/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 1.7648 (1.6532)	Prec@1 55.000 (55.605)	Prec@5 83.000 (84.229)
Epoch: [79][4550/9018]	Time 0.711 (0.618)	Data 0.001 (0.003)	Loss 1.5817 (1.6533)	Prec@1 59.000 (55.602)	Prec@5 84.000 (84.227)
Epoch: [79][4560/9018]	Time 0.605 (0.618)	Data 0.001 (0.003)	Loss 1.6750 (1.6533)	Prec@1 55.500 (55.601)	Prec@5 83.500 (84.228)
Epoch: [79][4570/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.8881 (1.6535)	Prec@1 46.500 (55.596)	Prec@5 79.000 (84.224)
Epoch: [79][4580/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 1.7491 (1.6535)	Prec@1 50.500 (55.593)	Prec@5 83.500 (84.224)
Epoch: [79][4590/9018]	Time 0.589 (0.617)	Data 0.001 (0.003)	Loss 1.7057 (1.6537)	Prec@1 53.500 (55.590)	Prec@5 84.000 (84.222)
Epoch: [79][4600/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 1.4721 (1.6534)	Prec@1 56.000 (55.596)	Prec@5 88.500 (84.227)
Epoch: [79][4610/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.6001 (1.6534)	Prec@1 57.500 (55.597)	Prec@5 86.500 (84.226)
Epoch: [79][4620/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.5421 (1.6534)	Prec@1 59.500 (55.596)	Prec@5 86.500 (84.227)
Epoch: [79][4630/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 1.6728 (1.6535)	Prec@1 56.000 (55.598)	Prec@5 82.500 (84.226)
Epoch: [79][4640/9018]	Time 0.616 (0.618)	Data 0.001 (0.003)	Loss 1.6915 (1.6535)	Prec@1 57.000 (55.596)	Prec@5 84.000 (84.226)
Epoch: [79][4650/9018]	Time 0.625 (0.618)	Data 0.008 (0.003)	Loss 1.6057 (1.6535)	Prec@1 58.000 (55.597)	Prec@5 83.500 (84.223)
Epoch: [79][4660/9018]	Time 0.613 (0.618)	Data 0.001 (0.003)	Loss 1.5561 (1.6536)	Prec@1 56.000 (55.595)	Prec@5 84.500 (84.223)
Epoch: [79][4670/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.5692 (1.6535)	Prec@1 57.000 (55.596)	Prec@5 86.000 (84.224)
Epoch: [79][4680/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.5200 (1.6535)	Prec@1 61.500 (55.598)	Prec@5 84.500 (84.222)
Epoch: [79][4690/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.4480 (1.6536)	Prec@1 57.000 (55.596)	Prec@5 88.500 (84.220)
Epoch: [79][4700/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.3826 (1.6535)	Prec@1 63.500 (55.602)	Prec@5 86.500 (84.224)
Epoch: [79][4710/9018]	Time 0.627 (0.618)	Data 0.001 (0.003)	Loss 1.7451 (1.6536)	Prec@1 51.000 (55.599)	Prec@5 82.000 (84.222)
Epoch: [79][4720/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 1.7044 (1.6536)	Prec@1 56.000 (55.598)	Prec@5 83.500 (84.222)
Epoch: [79][4730/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.7443 (1.6535)	Prec@1 53.500 (55.599)	Prec@5 84.500 (84.222)
Epoch: [79][4740/9018]	Time 0.624 (0.618)	Data 0.004 (0.003)	Loss 1.3812 (1.6535)	Prec@1 60.500 (55.599)	Prec@5 87.500 (84.223)
Epoch: [79][4750/9018]	Time 0.641 (0.618)	Data 0.001 (0.003)	Loss 1.6268 (1.6536)	Prec@1 54.500 (55.595)	Prec@5 86.500 (84.221)
Epoch: [79][4760/9018]	Time 0.628 (0.618)	Data 0.001 (0.003)	Loss 1.5440 (1.6535)	Prec@1 60.000 (55.598)	Prec@5 85.500 (84.223)
Epoch: [79][4770/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.7190 (1.6534)	Prec@1 53.500 (55.599)	Prec@5 82.500 (84.224)
Epoch: [79][4780/9018]	Time 0.606 (0.618)	Data 0.001 (0.003)	Loss 1.6184 (1.6535)	Prec@1 57.000 (55.597)	Prec@5 85.500 (84.221)
Epoch: [79][4790/9018]	Time 0.630 (0.618)	Data 0.001 (0.003)	Loss 1.5837 (1.6535)	Prec@1 57.000 (55.598)	Prec@5 85.500 (84.222)
Epoch: [79][4800/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 1.5812 (1.6535)	Prec@1 57.000 (55.598)	Prec@5 85.500 (84.221)
Epoch: [79][4810/9018]	Time 0.608 (0.618)	Data 0.001 (0.003)	Loss 1.6387 (1.6536)	Prec@1 53.000 (55.594)	Prec@5 86.500 (84.221)
Epoch: [79][4820/9018]	Time 0.617 (0.618)	Data 0.001 (0.003)	Loss 1.8018 (1.6536)	Prec@1 49.500 (55.592)	Prec@5 84.500 (84.220)
Epoch: [79][4830/9018]	Time 0.771 (0.618)	Data 0.009 (0.003)	Loss 1.7477 (1.6537)	Prec@1 53.500 (55.588)	Prec@5 82.000 (84.220)
Epoch: [79][4840/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.4224 (1.6536)	Prec@1 60.000 (55.588)	Prec@5 88.500 (84.222)
Epoch: [79][4850/9018]	Time 0.613 (0.618)	Data 0.001 (0.003)	Loss 1.6475 (1.6538)	Prec@1 55.000 (55.583)	Prec@5 83.500 (84.221)
Epoch: [79][4860/9018]	Time 0.595 (0.618)	Data 0.001 (0.003)	Loss 1.5683 (1.6537)	Prec@1 59.500 (55.585)	Prec@5 86.000 (84.223)
Epoch: [79][4870/9018]	Time 0.611 (0.618)	Data 0.005 (0.003)	Loss 1.6681 (1.6537)	Prec@1 62.000 (55.583)	Prec@5 82.000 (84.220)
Epoch: [79][4880/9018]	Time 0.737 (0.618)	Data 0.001 (0.003)	Loss 1.4903 (1.6536)	Prec@1 60.500 (55.587)	Prec@5 85.500 (84.222)
Epoch: [79][4890/9018]	Time 0.616 (0.618)	Data 0.015 (0.003)	Loss 1.4854 (1.6536)	Prec@1 61.000 (55.590)	Prec@5 88.500 (84.221)
Epoch: [79][4900/9018]	Time 0.621 (0.618)	Data 0.027 (0.003)	Loss 1.5041 (1.6534)	Prec@1 60.000 (55.593)	Prec@5 88.000 (84.223)
Epoch: [79][4910/9018]	Time 0.594 (0.618)	Data 0.001 (0.003)	Loss 1.3936 (1.6533)	Prec@1 59.500 (55.596)	Prec@5 88.500 (84.226)
Epoch: [79][4920/9018]	Time 0.602 (0.618)	Data 0.001 (0.003)	Loss 1.6519 (1.6533)	Prec@1 59.000 (55.598)	Prec@5 83.500 (84.225)
Epoch: [79][4930/9018]	Time 0.619 (0.618)	Data 0.012 (0.003)	Loss 1.6782 (1.6533)	Prec@1 54.500 (55.601)	Prec@5 79.500 (84.223)
Epoch: [79][4940/9018]	Time 0.633 (0.618)	Data 0.004 (0.003)	Loss 1.6304 (1.6532)	Prec@1 54.500 (55.604)	Prec@5 84.500 (84.226)
Epoch: [79][4950/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.7027 (1.6533)	Prec@1 55.000 (55.605)	Prec@5 84.000 (84.225)
Epoch: [79][4960/9018]	Time 0.621 (0.618)	Data 0.001 (0.003)	Loss 1.6421 (1.6533)	Prec@1 52.000 (55.602)	Prec@5 84.500 (84.223)
Epoch: [79][4970/9018]	Time 0.604 (0.618)	Data 0.001 (0.003)	Loss 1.8626 (1.6535)	Prec@1 51.500 (55.599)	Prec@5 83.500 (84.218)
Epoch: [79][4980/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.5592 (1.6536)	Prec@1 57.500 (55.598)	Prec@5 84.500 (84.217)
Epoch: [79][4990/9018]	Time 0.593 (0.618)	Data 0.001 (0.003)	Loss 1.6448 (1.6537)	Prec@1 54.500 (55.594)	Prec@5 84.500 (84.217)
Epoch: [79][5000/9018]	Time 0.642 (0.618)	Data 0.013 (0.003)	Loss 1.6289 (1.6537)	Prec@1 59.000 (55.596)	Prec@5 85.000 (84.217)
Epoch: [79][5010/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.7347 (1.6538)	Prec@1 52.000 (55.595)	Prec@5 83.000 (84.212)
Epoch: [79][5020/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 1.4836 (1.6539)	Prec@1 60.000 (55.593)	Prec@5 86.000 (84.211)
Epoch: [79][5030/9018]	Time 0.607 (0.618)	Data 0.001 (0.003)	Loss 1.6446 (1.6540)	Prec@1 52.500 (55.592)	Prec@5 83.000 (84.208)
Epoch: [79][5040/9018]	Time 0.612 (0.618)	Data 0.001 (0.003)	Loss 1.6213 (1.6540)	Prec@1 55.000 (55.594)	Prec@5 87.000 (84.206)
Epoch: [79][5050/9018]	Time 0.603 (0.618)	Data 0.001 (0.003)	Loss 1.5720 (1.6538)	Prec@1 59.000 (55.597)	Prec@5 84.500 (84.208)
Epoch: [79][5060/9018]	Time 0.609 (0.618)	Data 0.001 (0.003)	Loss 1.7102 (1.6539)	Prec@1 56.500 (55.594)	Prec@5 85.000 (84.207)
Epoch: [79][5070/9018]	Time 0.611 (0.618)	Data 0.001 (0.003)	Loss 1.6767 (1.6539)	Prec@1 56.500 (55.594)	Prec@5 82.500 (84.207)
Epoch: [79][5080/9018]	Time 0.620 (0.618)	Data 0.001 (0.003)	Loss 1.6075 (1.6538)	Prec@1 58.500 (55.596)	Prec@5 85.000 (84.210)
Epoch: [79][5090/9018]	Time 0.610 (0.618)	Data 0.001 (0.003)	Loss 1.6386 (1.6538)	Prec@1 51.500 (55.596)	Prec@5 84.500 (84.210)
Epoch: [79][5100/9018]	Time 0.598 (0.618)	Data 0.001 (0.003)	Loss 1.5087 (1.6537)	Prec@1 61.000 (55.597)	Prec@5 88.500 (84.213)
Epoch: [79][5110/9018]	Time 0.750 (0.618)	Data 0.001 (0.003)	Loss 1.5963 (1.6539)	Prec@1 58.500 (55.596)	Prec@5 86.000 (84.210)
Epoch: [79][5120/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 1.6084 (1.6540)	Prec@1 56.500 (55.595)	Prec@5 86.500 (84.209)
Epoch: [79][5130/9018]	Time 0.596 (0.618)	Data 0.001 (0.003)	Loss 1.4733 (1.6539)	Prec@1 63.000 (55.597)	Prec@5 87.500 (84.209)
Epoch: [79][5140/9018]	Time 0.612 (0.618)	Data 0.001 (0.003)	Loss 1.5799 (1.6539)	Prec@1 57.500 (55.599)	Prec@5 84.500 (84.209)
Epoch: [79][5150/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 1.5598 (1.6540)	Prec@1 54.500 (55.596)	Prec@5 87.000 (84.208)
Epoch: [79][5160/9018]	Time 0.756 (0.618)	Data 0.001 (0.003)	Loss 1.7216 (1.6540)	Prec@1 56.500 (55.599)	Prec@5 84.000 (84.208)
Epoch: [79][5170/9018]	Time 0.608 (0.618)	Data 0.006 (0.003)	Loss 1.6129 (1.6540)	Prec@1 61.000 (55.598)	Prec@5 86.000 (84.209)
Epoch: [79][5180/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 1.7269 (1.6540)	Prec@1 57.500 (55.599)	Prec@5 80.500 (84.208)
Epoch: [79][5190/9018]	Time 0.626 (0.618)	Data 0.001 (0.003)	Loss 1.5192 (1.6541)	Prec@1 60.500 (55.598)	Prec@5 85.000 (84.206)
Epoch: [79][5200/9018]	Time 0.628 (0.618)	Data 0.001 (0.003)	Loss 1.5904 (1.6541)	Prec@1 57.500 (55.599)	Prec@5 84.000 (84.207)
Epoch: [79][5210/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 1.5572 (1.6540)	Prec@1 59.000 (55.602)	Prec@5 85.500 (84.209)
Epoch: [79][5220/9018]	Time 0.600 (0.618)	Data 0.001 (0.003)	Loss 1.7032 (1.6541)	Prec@1 54.000 (55.601)	Prec@5 83.000 (84.208)
Epoch: [79][5230/9018]	Time 0.597 (0.618)	Data 0.001 (0.003)	Loss 2.0361 (1.6542)	Prec@1 51.000 (55.596)	Prec@5 79.000 (84.206)
Epoch: [79][5240/9018]	Time 0.601 (0.618)	Data 0.001 (0.003)	Loss 1.7917 (1.6542)	Prec@1 57.000 (55.597)	Prec@5 84.500 (84.207)
Epoch: [79][5250/9018]	Time 0.626 (0.618)	Data 0.001 (0.003)	Loss 1.7285 (1.6542)	Prec@1 54.500 (55.595)	Prec@5 82.000 (84.206)
Epoch: [79][5260/9018]	Time 0.640 (0.618)	Data 0.001 (0.002)	Loss 1.6652 (1.6542)	Prec@1 61.000 (55.596)	Prec@5 80.500 (84.205)
Epoch: [79][5270/9018]	Time 0.620 (0.618)	Data 0.001 (0.002)	Loss 1.7671 (1.6543)	Prec@1 49.500 (55.592)	Prec@5 84.000 (84.205)
Epoch: [79][5280/9018]	Time 0.613 (0.618)	Data 0.001 (0.002)	Loss 1.7898 (1.6544)	Prec@1 51.000 (55.589)	Prec@5 84.500 (84.204)
Epoch: [79][5290/9018]	Time 0.612 (0.618)	Data 0.001 (0.002)	Loss 1.6381 (1.6545)	Prec@1 52.500 (55.589)	Prec@5 84.500 (84.202)
Epoch: [79][5300/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 1.5685 (1.6544)	Prec@1 59.000 (55.591)	Prec@5 83.000 (84.202)
Epoch: [79][5310/9018]	Time 0.613 (0.618)	Data 0.001 (0.002)	Loss 1.6422 (1.6543)	Prec@1 54.500 (55.593)	Prec@5 87.000 (84.204)
Epoch: [79][5320/9018]	Time 0.595 (0.618)	Data 0.001 (0.002)	Loss 1.5630 (1.6544)	Prec@1 59.000 (55.591)	Prec@5 84.500 (84.204)
Epoch: [79][5330/9018]	Time 0.606 (0.618)	Data 0.001 (0.002)	Loss 1.9278 (1.6545)	Prec@1 50.500 (55.586)	Prec@5 78.500 (84.199)
Epoch: [79][5340/9018]	Time 0.623 (0.618)	Data 0.001 (0.002)	Loss 1.8815 (1.6546)	Prec@1 55.500 (55.584)	Prec@5 78.000 (84.196)
Epoch: [79][5350/9018]	Time 0.614 (0.618)	Data 0.001 (0.002)	Loss 1.5682 (1.6547)	Prec@1 61.500 (55.587)	Prec@5 88.000 (84.197)
Epoch: [79][5360/9018]	Time 0.609 (0.618)	Data 0.001 (0.002)	Loss 1.6231 (1.6546)	Prec@1 57.500 (55.587)	Prec@5 85.500 (84.198)
Epoch: [79][5370/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 1.7494 (1.6546)	Prec@1 54.500 (55.588)	Prec@5 82.000 (84.197)
Epoch: [79][5380/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 1.5358 (1.6546)	Prec@1 60.000 (55.588)	Prec@5 85.000 (84.197)
Epoch: [79][5390/9018]	Time 0.641 (0.618)	Data 0.001 (0.002)	Loss 1.7081 (1.6545)	Prec@1 58.000 (55.590)	Prec@5 87.000 (84.199)
Epoch: [79][5400/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 1.8427 (1.6546)	Prec@1 55.000 (55.587)	Prec@5 81.000 (84.198)
Epoch: [79][5410/9018]	Time 0.594 (0.618)	Data 0.001 (0.002)	Loss 1.4895 (1.6545)	Prec@1 62.500 (55.590)	Prec@5 88.500 (84.200)
Epoch: [79][5420/9018]	Time 0.613 (0.618)	Data 0.001 (0.002)	Loss 1.7906 (1.6546)	Prec@1 55.500 (55.589)	Prec@5 80.500 (84.201)
Epoch: [79][5430/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.6855 (1.6545)	Prec@1 55.500 (55.590)	Prec@5 81.500 (84.201)
Epoch: [79][5440/9018]	Time 0.790 (0.618)	Data 0.001 (0.002)	Loss 1.5040 (1.6544)	Prec@1 58.000 (55.592)	Prec@5 88.500 (84.204)
Epoch: [79][5450/9018]	Time 0.640 (0.618)	Data 0.001 (0.002)	Loss 1.5223 (1.6544)	Prec@1 58.500 (55.591)	Prec@5 85.500 (84.204)
Epoch: [79][5460/9018]	Time 0.608 (0.618)	Data 0.013 (0.002)	Loss 1.7714 (1.6544)	Prec@1 52.500 (55.592)	Prec@5 85.000 (84.206)
Epoch: [79][5470/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 1.7385 (1.6545)	Prec@1 56.000 (55.588)	Prec@5 83.000 (84.204)
Epoch: [79][5480/9018]	Time 0.613 (0.618)	Data 0.004 (0.002)	Loss 1.7956 (1.6545)	Prec@1 51.000 (55.586)	Prec@5 81.500 (84.202)
Epoch: [79][5490/9018]	Time 0.729 (0.618)	Data 0.001 (0.002)	Loss 1.7321 (1.6546)	Prec@1 51.000 (55.583)	Prec@5 84.000 (84.201)
Epoch: [79][5500/9018]	Time 0.601 (0.618)	Data 0.001 (0.002)	Loss 1.7283 (1.6546)	Prec@1 56.000 (55.584)	Prec@5 83.500 (84.201)
Epoch: [79][5510/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 1.6778 (1.6546)	Prec@1 52.000 (55.584)	Prec@5 83.000 (84.202)
Epoch: [79][5520/9018]	Time 0.605 (0.618)	Data 0.001 (0.002)	Loss 1.4904 (1.6546)	Prec@1 53.500 (55.582)	Prec@5 89.000 (84.202)
Epoch: [79][5530/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 1.9376 (1.6548)	Prec@1 49.500 (55.578)	Prec@5 79.500 (84.198)
Epoch: [79][5540/9018]	Time 0.623 (0.618)	Data 0.001 (0.002)	Loss 1.5929 (1.6547)	Prec@1 59.000 (55.579)	Prec@5 84.500 (84.201)
Epoch: [79][5550/9018]	Time 0.607 (0.618)	Data 0.001 (0.002)	Loss 1.6491 (1.6547)	Prec@1 55.000 (55.580)	Prec@5 83.500 (84.203)
Epoch: [79][5560/9018]	Time 0.605 (0.618)	Data 0.001 (0.002)	Loss 1.6337 (1.6547)	Prec@1 56.000 (55.578)	Prec@5 81.500 (84.201)
Epoch: [79][5570/9018]	Time 0.592 (0.617)	Data 0.001 (0.002)	Loss 1.6594 (1.6547)	Prec@1 51.000 (55.578)	Prec@5 87.000 (84.200)
Epoch: [79][5580/9018]	Time 0.608 (0.618)	Data 0.001 (0.002)	Loss 1.5147 (1.6546)	Prec@1 59.500 (55.579)	Prec@5 86.500 (84.200)
Epoch: [79][5590/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 1.5715 (1.6547)	Prec@1 56.000 (55.576)	Prec@5 86.500 (84.198)
Epoch: [79][5600/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 1.7828 (1.6548)	Prec@1 50.000 (55.576)	Prec@5 83.000 (84.196)
Epoch: [79][5610/9018]	Time 0.604 (0.618)	Data 0.001 (0.002)	Loss 1.7377 (1.6550)	Prec@1 54.000 (55.573)	Prec@5 83.500 (84.194)
Epoch: [79][5620/9018]	Time 0.625 (0.618)	Data 0.001 (0.002)	Loss 1.5507 (1.6549)	Prec@1 55.500 (55.576)	Prec@5 87.000 (84.196)
Epoch: [79][5630/9018]	Time 0.610 (0.618)	Data 0.001 (0.002)	Loss 1.7338 (1.6550)	Prec@1 58.000 (55.574)	Prec@5 82.000 (84.195)
Epoch: [79][5640/9018]	Time 0.622 (0.618)	Data 0.001 (0.002)	Loss 2.0243 (1.6551)	Prec@1 49.000 (55.570)	Prec@5 82.000 (84.195)
Epoch: [79][5650/9018]	Time 0.625 (0.618)	Data 0.001 (0.002)	Loss 1.7491 (1.6551)	Prec@1 53.000 (55.569)	Prec@5 81.000 (84.194)
Epoch: [79][5660/9018]	Time 0.617 (0.618)	Data 0.001 (0.002)	Loss 1.5978 (1.6551)	Prec@1 56.000 (55.570)	Prec@5 85.500 (84.195)
Epoch: [79][5670/9018]	Time 0.619 (0.618)	Data 0.001 (0.002)	Loss 1.5378 (1.6552)	Prec@1 58.500 (55.569)	Prec@5 86.500 (84.194)
Epoch: [79][5680/9018]	Time 0.595 (0.618)	Data 0.001 (0.002)	Loss 1.6711 (1.6552)	Prec@1 49.000 (55.568)	Prec@5 84.500 (84.193)
Epoch: [79][5690/9018]	Time 0.601 (0.618)	Data 0.001 (0.002)	Loss 1.8054 (1.6552)	Prec@1 49.500 (55.566)	Prec@5 82.000 (84.195)
Epoch: [79][5700/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.7218 (1.6553)	Prec@1 52.500 (55.563)	Prec@5 84.500 (84.193)
Epoch: [79][5710/9018]	Time 0.619 (0.618)	Data 0.001 (0.002)	Loss 1.7134 (1.6553)	Prec@1 52.500 (55.563)	Prec@5 82.000 (84.194)
Epoch: [79][5720/9018]	Time 0.619 (0.618)	Data 0.001 (0.002)	Loss 1.7995 (1.6554)	Prec@1 48.500 (55.560)	Prec@5 83.000 (84.191)
Epoch: [79][5730/9018]	Time 0.615 (0.618)	Data 0.001 (0.002)	Loss 1.6347 (1.6554)	Prec@1 58.000 (55.561)	Prec@5 81.000 (84.192)
Epoch: [79][5740/9018]	Time 0.616 (0.618)	Data 0.001 (0.002)	Loss 1.7215 (1.6554)	Prec@1 53.500 (55.560)	Prec@5 78.500 (84.190)
Epoch: [79][5750/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 1.6569 (1.6553)	Prec@1 60.500 (55.563)	Prec@5 84.000 (84.192)
Epoch: [79][5760/9018]	Time 0.600 (0.618)	Data 0.008 (0.002)	Loss 1.6809 (1.6553)	Prec@1 55.000 (55.563)	Prec@5 84.000 (84.193)
Epoch: [79][5770/9018]	Time 0.745 (0.618)	Data 0.001 (0.002)	Loss 1.4804 (1.6551)	Prec@1 59.000 (55.567)	Prec@5 87.500 (84.195)
Epoch: [79][5780/9018]	Time 0.591 (0.618)	Data 0.001 (0.002)	Loss 1.7530 (1.6552)	Prec@1 53.500 (55.566)	Prec@5 83.000 (84.193)
Epoch: [79][5790/9018]	Time 0.634 (0.618)	Data 0.001 (0.002)	Loss 1.6181 (1.6552)	Prec@1 54.500 (55.567)	Prec@5 83.500 (84.192)
Epoch: [79][5800/9018]	Time 0.616 (0.618)	Data 0.006 (0.002)	Loss 1.7467 (1.6552)	Prec@1 55.000 (55.568)	Prec@5 79.000 (84.190)
Epoch: [79][5810/9018]	Time 0.596 (0.618)	Data 0.001 (0.002)	Loss 1.6331 (1.6553)	Prec@1 57.500 (55.565)	Prec@5 82.500 (84.189)
Epoch: [79][5820/9018]	Time 0.742 (0.618)	Data 0.001 (0.002)	Loss 1.7120 (1.6553)	Prec@1 54.000 (55.565)	Prec@5 83.500 (84.190)
Epoch: [79][5830/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.8949 (1.6553)	Prec@1 52.500 (55.565)	Prec@5 79.500 (84.189)
Epoch: [79][5840/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 1.5905 (1.6553)	Prec@1 57.500 (55.564)	Prec@5 86.000 (84.190)
Epoch: [79][5850/9018]	Time 0.619 (0.618)	Data 0.001 (0.002)	Loss 1.6088 (1.6553)	Prec@1 53.500 (55.563)	Prec@5 88.000 (84.191)
Epoch: [79][5860/9018]	Time 0.660 (0.618)	Data 0.014 (0.002)	Loss 1.6791 (1.6553)	Prec@1 59.500 (55.563)	Prec@5 85.500 (84.190)
Epoch: [79][5870/9018]	Time 0.594 (0.618)	Data 0.001 (0.002)	Loss 1.5713 (1.6551)	Prec@1 57.000 (55.567)	Prec@5 84.000 (84.192)
Epoch: [79][5880/9018]	Time 0.620 (0.618)	Data 0.001 (0.002)	Loss 1.9216 (1.6552)	Prec@1 54.000 (55.568)	Prec@5 80.500 (84.190)
Epoch: [79][5890/9018]	Time 0.626 (0.618)	Data 0.014 (0.002)	Loss 1.5451 (1.6552)	Prec@1 59.500 (55.567)	Prec@5 87.500 (84.192)
Epoch: [79][5900/9018]	Time 0.594 (0.618)	Data 0.001 (0.002)	Loss 1.7805 (1.6551)	Prec@1 54.000 (55.565)	Prec@5 83.500 (84.192)
Epoch: [79][5910/9018]	Time 0.613 (0.618)	Data 0.015 (0.002)	Loss 1.6778 (1.6553)	Prec@1 57.500 (55.561)	Prec@5 84.500 (84.192)
Epoch: [79][5920/9018]	Time 0.618 (0.618)	Data 0.001 (0.002)	Loss 1.9688 (1.6554)	Prec@1 52.500 (55.559)	Prec@5 77.000 (84.190)
Epoch: [79][5930/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 1.6765 (1.6553)	Prec@1 57.000 (55.562)	Prec@5 81.500 (84.191)
Epoch: [79][5940/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 1.6188 (1.6553)	Prec@1 55.000 (55.560)	Prec@5 82.500 (84.188)
Epoch: [79][5950/9018]	Time 0.614 (0.618)	Data 0.016 (0.002)	Loss 1.5827 (1.6554)	Prec@1 57.500 (55.558)	Prec@5 88.000 (84.186)
Epoch: [79][5960/9018]	Time 0.601 (0.618)	Data 0.001 (0.002)	Loss 1.4222 (1.6554)	Prec@1 60.500 (55.560)	Prec@5 86.500 (84.186)
Epoch: [79][5970/9018]	Time 0.615 (0.618)	Data 0.001 (0.002)	Loss 1.4696 (1.6554)	Prec@1 60.500 (55.557)	Prec@5 87.000 (84.184)
Epoch: [79][5980/9018]	Time 0.611 (0.618)	Data 0.001 (0.002)	Loss 1.4910 (1.6554)	Prec@1 61.000 (55.556)	Prec@5 87.500 (84.185)
Epoch: [79][5990/9018]	Time 0.606 (0.618)	Data 0.001 (0.002)	Loss 1.5510 (1.6555)	Prec@1 56.500 (55.555)	Prec@5 84.500 (84.185)
Epoch: [79][6000/9018]	Time 0.591 (0.618)	Data 0.001 (0.002)	Loss 1.6308 (1.6554)	Prec@1 57.500 (55.556)	Prec@5 86.500 (84.186)
Epoch: [79][6010/9018]	Time 0.619 (0.618)	Data 0.001 (0.002)	Loss 1.6027 (1.6554)	Prec@1 55.000 (55.556)	Prec@5 84.000 (84.187)
Epoch: [79][6020/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 1.5287 (1.6554)	Prec@1 64.500 (55.558)	Prec@5 85.000 (84.189)
Epoch: [79][6030/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 1.7612 (1.6554)	Prec@1 51.500 (55.557)	Prec@5 81.500 (84.188)
Epoch: [79][6040/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 1.6894 (1.6554)	Prec@1 53.000 (55.558)	Prec@5 85.500 (84.188)
Epoch: [79][6050/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 1.5434 (1.6554)	Prec@1 58.500 (55.556)	Prec@5 87.000 (84.189)
Epoch: [79][6060/9018]	Time 0.596 (0.618)	Data 0.001 (0.002)	Loss 1.6963 (1.6553)	Prec@1 59.000 (55.558)	Prec@5 84.000 (84.191)
Epoch: [79][6070/9018]	Time 0.622 (0.618)	Data 0.001 (0.002)	Loss 1.6976 (1.6553)	Prec@1 57.000 (55.558)	Prec@5 85.000 (84.190)
Epoch: [79][6080/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 1.7551 (1.6554)	Prec@1 49.500 (55.556)	Prec@5 82.500 (84.191)
Epoch: [79][6090/9018]	Time 0.595 (0.618)	Data 0.001 (0.002)	Loss 1.6919 (1.6553)	Prec@1 54.500 (55.556)	Prec@5 86.000 (84.193)
Epoch: [79][6100/9018]	Time 0.860 (0.618)	Data 0.001 (0.002)	Loss 1.6394 (1.6553)	Prec@1 56.500 (55.557)	Prec@5 86.000 (84.193)
Epoch: [79][6110/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 1.6798 (1.6552)	Prec@1 54.000 (55.559)	Prec@5 85.000 (84.195)
Epoch: [79][6120/9018]	Time 0.618 (0.618)	Data 0.017 (0.002)	Loss 1.6103 (1.6552)	Prec@1 58.000 (55.560)	Prec@5 85.500 (84.197)
Epoch: [79][6130/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 1.6936 (1.6552)	Prec@1 54.000 (55.561)	Prec@5 82.000 (84.196)
Epoch: [79][6140/9018]	Time 0.603 (0.618)	Data 0.001 (0.002)	Loss 1.6257 (1.6552)	Prec@1 57.000 (55.561)	Prec@5 83.000 (84.195)
Epoch: [79][6150/9018]	Time 0.737 (0.618)	Data 0.001 (0.002)	Loss 1.6306 (1.6551)	Prec@1 55.000 (55.560)	Prec@5 85.500 (84.197)
Epoch: [79][6160/9018]	Time 0.624 (0.618)	Data 0.001 (0.002)	Loss 1.4286 (1.6551)	Prec@1 61.000 (55.561)	Prec@5 91.500 (84.197)
Epoch: [79][6170/9018]	Time 0.614 (0.618)	Data 0.001 (0.002)	Loss 1.5599 (1.6551)	Prec@1 59.500 (55.561)	Prec@5 84.000 (84.196)
Epoch: [79][6180/9018]	Time 0.601 (0.618)	Data 0.001 (0.002)	Loss 1.6439 (1.6550)	Prec@1 61.000 (55.566)	Prec@5 84.500 (84.198)
Epoch: [79][6190/9018]	Time 0.603 (0.618)	Data 0.005 (0.002)	Loss 1.7713 (1.6551)	Prec@1 51.000 (55.563)	Prec@5 83.000 (84.196)
Epoch: [79][6200/9018]	Time 0.594 (0.618)	Data 0.001 (0.002)	Loss 1.6928 (1.6551)	Prec@1 54.500 (55.564)	Prec@5 85.500 (84.197)
Epoch: [79][6210/9018]	Time 0.607 (0.618)	Data 0.004 (0.002)	Loss 1.6331 (1.6552)	Prec@1 54.000 (55.561)	Prec@5 83.000 (84.195)
Epoch: [79][6220/9018]	Time 0.618 (0.618)	Data 0.001 (0.002)	Loss 1.5420 (1.6552)	Prec@1 56.500 (55.561)	Prec@5 87.000 (84.195)
Epoch: [79][6230/9018]	Time 0.615 (0.618)	Data 0.001 (0.002)	Loss 1.6091 (1.6552)	Prec@1 58.500 (55.561)	Prec@5 83.000 (84.194)
Epoch: [79][6240/9018]	Time 0.607 (0.618)	Data 0.001 (0.002)	Loss 1.6213 (1.6552)	Prec@1 58.000 (55.561)	Prec@5 80.500 (84.193)
Epoch: [79][6250/9018]	Time 0.603 (0.618)	Data 0.001 (0.002)	Loss 1.7096 (1.6552)	Prec@1 52.500 (55.560)	Prec@5 82.500 (84.193)
Epoch: [79][6260/9018]	Time 0.629 (0.618)	Data 0.001 (0.002)	Loss 1.5378 (1.6553)	Prec@1 54.000 (55.558)	Prec@5 88.000 (84.193)
Epoch: [79][6270/9018]	Time 0.609 (0.618)	Data 0.001 (0.002)	Loss 1.5094 (1.6553)	Prec@1 58.000 (55.559)	Prec@5 85.000 (84.193)
Epoch: [79][6280/9018]	Time 0.625 (0.618)	Data 0.001 (0.002)	Loss 1.7502 (1.6552)	Prec@1 55.500 (55.560)	Prec@5 83.500 (84.195)
Epoch: [79][6290/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 1.8284 (1.6554)	Prec@1 52.000 (55.559)	Prec@5 83.000 (84.193)
Epoch: [79][6300/9018]	Time 0.604 (0.618)	Data 0.001 (0.002)	Loss 1.7782 (1.6553)	Prec@1 52.000 (55.560)	Prec@5 82.500 (84.193)
Epoch: [79][6310/9018]	Time 0.630 (0.618)	Data 0.001 (0.002)	Loss 1.6553 (1.6553)	Prec@1 55.500 (55.562)	Prec@5 84.500 (84.193)
Epoch: [79][6320/9018]	Time 0.616 (0.618)	Data 0.014 (0.002)	Loss 1.7222 (1.6554)	Prec@1 51.500 (55.558)	Prec@5 86.000 (84.192)
Epoch: [79][6330/9018]	Time 0.625 (0.618)	Data 0.016 (0.002)	Loss 1.5063 (1.6554)	Prec@1 59.500 (55.557)	Prec@5 88.000 (84.192)
Epoch: [79][6340/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 1.8859 (1.6555)	Prec@1 53.500 (55.555)	Prec@5 78.500 (84.190)
Epoch: [79][6350/9018]	Time 0.607 (0.618)	Data 0.001 (0.002)	Loss 1.3882 (1.6554)	Prec@1 62.000 (55.557)	Prec@5 88.000 (84.192)
Epoch: [79][6360/9018]	Time 0.597 (0.618)	Data 0.001 (0.002)	Loss 1.6072 (1.6553)	Prec@1 53.500 (55.558)	Prec@5 85.500 (84.193)
Epoch: [79][6370/9018]	Time 0.620 (0.618)	Data 0.014 (0.002)	Loss 1.5975 (1.6554)	Prec@1 60.500 (55.558)	Prec@5 85.000 (84.193)
Epoch: [79][6380/9018]	Time 0.614 (0.618)	Data 0.014 (0.002)	Loss 1.6936 (1.6555)	Prec@1 51.500 (55.556)	Prec@5 82.000 (84.190)
Epoch: [79][6390/9018]	Time 0.609 (0.618)	Data 0.001 (0.002)	Loss 1.7513 (1.6554)	Prec@1 53.500 (55.556)	Prec@5 83.500 (84.191)
Epoch: [79][6400/9018]	Time 0.635 (0.618)	Data 0.001 (0.002)	Loss 1.7701 (1.6555)	Prec@1 57.000 (55.555)	Prec@5 80.500 (84.191)
Epoch: [79][6410/9018]	Time 0.597 (0.618)	Data 0.001 (0.002)	Loss 1.8049 (1.6556)	Prec@1 53.000 (55.552)	Prec@5 81.500 (84.190)
Epoch: [79][6420/9018]	Time 0.604 (0.618)	Data 0.001 (0.002)	Loss 1.6610 (1.6555)	Prec@1 56.500 (55.554)	Prec@5 84.500 (84.192)
Epoch: [79][6430/9018]	Time 0.753 (0.618)	Data 0.001 (0.002)	Loss 1.7121 (1.6554)	Prec@1 52.500 (55.555)	Prec@5 84.500 (84.192)
Epoch: [79][6440/9018]	Time 0.629 (0.618)	Data 0.001 (0.002)	Loss 1.8457 (1.6555)	Prec@1 52.000 (55.555)	Prec@5 82.500 (84.192)
Epoch: [79][6450/9018]	Time 0.594 (0.618)	Data 0.001 (0.002)	Loss 1.5308 (1.6555)	Prec@1 57.000 (55.554)	Prec@5 86.500 (84.190)
Epoch: [79][6460/9018]	Time 0.610 (0.618)	Data 0.001 (0.002)	Loss 1.8425 (1.6555)	Prec@1 48.500 (55.554)	Prec@5 82.000 (84.190)
Epoch: [79][6470/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 1.6759 (1.6554)	Prec@1 56.500 (55.557)	Prec@5 84.000 (84.191)
Epoch: [79][6480/9018]	Time 0.723 (0.618)	Data 0.001 (0.002)	Loss 1.5746 (1.6554)	Prec@1 54.000 (55.555)	Prec@5 87.500 (84.191)
Epoch: [79][6490/9018]	Time 0.596 (0.618)	Data 0.001 (0.002)	Loss 1.7087 (1.6553)	Prec@1 50.000 (55.554)	Prec@5 87.000 (84.192)
Epoch: [79][6500/9018]	Time 0.630 (0.618)	Data 0.001 (0.002)	Loss 1.7577 (1.6554)	Prec@1 52.000 (55.550)	Prec@5 84.500 (84.191)
Epoch: [79][6510/9018]	Time 0.597 (0.618)	Data 0.001 (0.002)	Loss 1.6356 (1.6554)	Prec@1 62.500 (55.551)	Prec@5 82.500 (84.191)
Epoch: [79][6520/9018]	Time 0.613 (0.618)	Data 0.001 (0.002)	Loss 1.4679 (1.6554)	Prec@1 61.500 (55.550)	Prec@5 85.500 (84.191)
Epoch: [79][6530/9018]	Time 0.612 (0.618)	Data 0.001 (0.002)	Loss 1.6904 (1.6554)	Prec@1 52.500 (55.552)	Prec@5 83.500 (84.193)
Epoch: [79][6540/9018]	Time 0.605 (0.618)	Data 0.015 (0.002)	Loss 1.9042 (1.6554)	Prec@1 52.000 (55.551)	Prec@5 79.500 (84.192)
Epoch: [79][6550/9018]	Time 0.611 (0.618)	Data 0.004 (0.002)	Loss 1.7780 (1.6555)	Prec@1 56.500 (55.550)	Prec@5 81.000 (84.192)
Epoch: [79][6560/9018]	Time 0.625 (0.618)	Data 0.001 (0.002)	Loss 1.8260 (1.6555)	Prec@1 50.000 (55.547)	Prec@5 80.000 (84.191)
Epoch: [79][6570/9018]	Time 0.614 (0.618)	Data 0.001 (0.002)	Loss 1.6839 (1.6556)	Prec@1 53.500 (55.546)	Prec@5 85.500 (84.191)
Epoch: [79][6580/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 1.5875 (1.6556)	Prec@1 56.500 (55.545)	Prec@5 83.000 (84.191)
Epoch: [79][6590/9018]	Time 0.625 (0.618)	Data 0.001 (0.002)	Loss 1.5799 (1.6556)	Prec@1 56.000 (55.548)	Prec@5 86.000 (84.192)
Epoch: [79][6600/9018]	Time 0.621 (0.618)	Data 0.001 (0.002)	Loss 1.6431 (1.6555)	Prec@1 53.500 (55.548)	Prec@5 85.500 (84.193)
Epoch: [79][6610/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.5240 (1.6555)	Prec@1 55.500 (55.547)	Prec@5 89.500 (84.195)
Epoch: [79][6620/9018]	Time 0.609 (0.618)	Data 0.001 (0.002)	Loss 1.4607 (1.6554)	Prec@1 58.500 (55.549)	Prec@5 85.500 (84.196)
Epoch: [79][6630/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 1.4365 (1.6554)	Prec@1 57.500 (55.549)	Prec@5 88.000 (84.195)
Epoch: [79][6640/9018]	Time 0.592 (0.618)	Data 0.002 (0.002)	Loss 1.7124 (1.6554)	Prec@1 57.500 (55.549)	Prec@5 84.000 (84.194)
Epoch: [79][6650/9018]	Time 0.591 (0.618)	Data 0.001 (0.002)	Loss 1.7307 (1.6555)	Prec@1 50.000 (55.547)	Prec@5 81.000 (84.193)
Epoch: [79][6660/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 1.8107 (1.6555)	Prec@1 54.000 (55.544)	Prec@5 80.500 (84.192)
Epoch: [79][6670/9018]	Time 0.610 (0.618)	Data 0.001 (0.002)	Loss 1.6400 (1.6556)	Prec@1 54.000 (55.542)	Prec@5 83.500 (84.190)
Epoch: [79][6680/9018]	Time 0.605 (0.618)	Data 0.001 (0.002)	Loss 1.7329 (1.6555)	Prec@1 50.500 (55.542)	Prec@5 83.500 (84.191)
Epoch: [79][6690/9018]	Time 0.616 (0.618)	Data 0.001 (0.002)	Loss 1.9440 (1.6555)	Prec@1 52.000 (55.543)	Prec@5 78.500 (84.192)
Epoch: [79][6700/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 1.7429 (1.6555)	Prec@1 54.000 (55.541)	Prec@5 83.500 (84.191)
Epoch: [79][6710/9018]	Time 0.608 (0.618)	Data 0.001 (0.002)	Loss 1.7428 (1.6555)	Prec@1 49.500 (55.540)	Prec@5 84.500 (84.193)
Epoch: [79][6720/9018]	Time 0.614 (0.618)	Data 0.001 (0.002)	Loss 1.4938 (1.6553)	Prec@1 61.000 (55.545)	Prec@5 86.000 (84.194)
Epoch: [79][6730/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.7587 (1.6554)	Prec@1 54.000 (55.544)	Prec@5 84.500 (84.195)
Epoch: [79][6740/9018]	Time 0.623 (0.618)	Data 0.001 (0.002)	Loss 1.4944 (1.6554)	Prec@1 61.500 (55.547)	Prec@5 86.000 (84.195)
Epoch: [79][6750/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 1.6037 (1.6554)	Prec@1 58.500 (55.545)	Prec@5 84.500 (84.194)
Epoch: [79][6760/9018]	Time 0.800 (0.618)	Data 0.001 (0.002)	Loss 1.5112 (1.6554)	Prec@1 58.500 (55.545)	Prec@5 85.000 (84.194)
Epoch: [79][6770/9018]	Time 0.612 (0.618)	Data 0.001 (0.002)	Loss 1.6157 (1.6555)	Prec@1 57.500 (55.545)	Prec@5 86.500 (84.193)
Epoch: [79][6780/9018]	Time 0.605 (0.618)	Data 0.001 (0.002)	Loss 1.5479 (1.6555)	Prec@1 57.500 (55.544)	Prec@5 84.500 (84.193)
Epoch: [79][6790/9018]	Time 0.623 (0.618)	Data 0.013 (0.002)	Loss 1.7035 (1.6556)	Prec@1 50.500 (55.541)	Prec@5 86.000 (84.193)
Epoch: [79][6800/9018]	Time 0.604 (0.618)	Data 0.001 (0.002)	Loss 1.7838 (1.6556)	Prec@1 48.500 (55.539)	Prec@5 83.500 (84.192)
Epoch: [79][6810/9018]	Time 0.761 (0.618)	Data 0.001 (0.002)	Loss 1.7403 (1.6557)	Prec@1 55.500 (55.537)	Prec@5 81.500 (84.191)
Epoch: [79][6820/9018]	Time 0.613 (0.618)	Data 0.001 (0.002)	Loss 1.6139 (1.6557)	Prec@1 54.500 (55.536)	Prec@5 85.000 (84.190)
Epoch: [79][6830/9018]	Time 0.607 (0.618)	Data 0.001 (0.002)	Loss 1.4749 (1.6556)	Prec@1 64.000 (55.537)	Prec@5 85.000 (84.191)
Epoch: [79][6840/9018]	Time 0.621 (0.618)	Data 0.001 (0.002)	Loss 1.8423 (1.6556)	Prec@1 54.000 (55.537)	Prec@5 79.500 (84.189)
Epoch: [79][6850/9018]	Time 0.625 (0.618)	Data 0.001 (0.002)	Loss 1.5965 (1.6556)	Prec@1 60.000 (55.539)	Prec@5 84.000 (84.190)
Epoch: [79][6860/9018]	Time 0.606 (0.618)	Data 0.001 (0.002)	Loss 1.7586 (1.6555)	Prec@1 54.500 (55.542)	Prec@5 79.500 (84.192)
Epoch: [79][6870/9018]	Time 0.614 (0.618)	Data 0.001 (0.002)	Loss 2.1256 (1.6556)	Prec@1 44.500 (55.540)	Prec@5 78.500 (84.191)
Epoch: [79][6880/9018]	Time 0.628 (0.618)	Data 0.001 (0.002)	Loss 1.5824 (1.6556)	Prec@1 57.000 (55.542)	Prec@5 85.500 (84.191)
Epoch: [79][6890/9018]	Time 0.614 (0.618)	Data 0.001 (0.002)	Loss 1.6335 (1.6556)	Prec@1 53.000 (55.540)	Prec@5 85.000 (84.190)
Epoch: [79][6900/9018]	Time 0.603 (0.618)	Data 0.001 (0.002)	Loss 1.5935 (1.6556)	Prec@1 56.000 (55.540)	Prec@5 85.000 (84.190)
Epoch: [79][6910/9018]	Time 0.616 (0.618)	Data 0.001 (0.002)	Loss 1.6789 (1.6556)	Prec@1 52.000 (55.539)	Prec@5 82.000 (84.188)
Epoch: [79][6920/9018]	Time 0.609 (0.618)	Data 0.001 (0.002)	Loss 1.6782 (1.6556)	Prec@1 57.000 (55.540)	Prec@5 83.000 (84.187)
Epoch: [79][6930/9018]	Time 0.603 (0.618)	Data 0.001 (0.002)	Loss 1.6947 (1.6556)	Prec@1 52.500 (55.540)	Prec@5 83.500 (84.187)
Epoch: [79][6940/9018]	Time 0.608 (0.618)	Data 0.001 (0.002)	Loss 1.5270 (1.6556)	Prec@1 54.500 (55.543)	Prec@5 90.000 (84.188)
Epoch: [79][6950/9018]	Time 0.634 (0.618)	Data 0.001 (0.002)	Loss 1.5464 (1.6556)	Prec@1 58.500 (55.540)	Prec@5 86.500 (84.187)
Epoch: [79][6960/9018]	Time 0.641 (0.618)	Data 0.017 (0.002)	Loss 1.9814 (1.6556)	Prec@1 47.000 (55.540)	Prec@5 78.000 (84.188)
Epoch: [79][6970/9018]	Time 0.629 (0.618)	Data 0.001 (0.002)	Loss 1.7297 (1.6556)	Prec@1 55.000 (55.540)	Prec@5 81.000 (84.189)
Epoch: [79][6980/9018]	Time 0.597 (0.618)	Data 0.001 (0.002)	Loss 1.5246 (1.6556)	Prec@1 56.500 (55.540)	Prec@5 87.000 (84.188)
Epoch: [79][6990/9018]	Time 0.619 (0.618)	Data 0.001 (0.002)	Loss 1.6960 (1.6555)	Prec@1 49.000 (55.539)	Prec@5 85.500 (84.190)
Epoch: [79][7000/9018]	Time 0.609 (0.618)	Data 0.001 (0.002)	Loss 1.9687 (1.6555)	Prec@1 50.000 (55.538)	Prec@5 77.000 (84.190)
Epoch: [79][7010/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 1.8005 (1.6555)	Prec@1 55.500 (55.540)	Prec@5 79.500 (84.190)
Epoch: [79][7020/9018]	Time 0.644 (0.618)	Data 0.001 (0.002)	Loss 1.7411 (1.6557)	Prec@1 54.500 (55.537)	Prec@5 84.500 (84.189)
Epoch: [79][7030/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 1.7383 (1.6557)	Prec@1 56.500 (55.537)	Prec@5 81.000 (84.187)
Epoch: [79][7040/9018]	Time 0.618 (0.618)	Data 0.001 (0.002)	Loss 1.4436 (1.6557)	Prec@1 59.500 (55.538)	Prec@5 89.500 (84.188)
Epoch: [79][7050/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 1.7998 (1.6558)	Prec@1 50.500 (55.534)	Prec@5 80.000 (84.184)
Epoch: [79][7060/9018]	Time 0.591 (0.618)	Data 0.001 (0.002)	Loss 2.0595 (1.6559)	Prec@1 46.000 (55.533)	Prec@5 78.500 (84.182)
Epoch: [79][7070/9018]	Time 0.611 (0.618)	Data 0.001 (0.002)	Loss 1.5861 (1.6559)	Prec@1 56.000 (55.533)	Prec@5 86.000 (84.181)
Epoch: [79][7080/9018]	Time 0.641 (0.618)	Data 0.007 (0.002)	Loss 1.6231 (1.6560)	Prec@1 55.000 (55.532)	Prec@5 86.000 (84.180)
Epoch: [79][7090/9018]	Time 0.762 (0.618)	Data 0.001 (0.002)	Loss 1.7376 (1.6560)	Prec@1 56.000 (55.532)	Prec@5 82.500 (84.180)
Epoch: [79][7100/9018]	Time 0.595 (0.618)	Data 0.001 (0.002)	Loss 1.4250 (1.6560)	Prec@1 61.500 (55.532)	Prec@5 85.500 (84.179)
Epoch: [79][7110/9018]	Time 0.611 (0.618)	Data 0.001 (0.002)	Loss 1.8120 (1.6560)	Prec@1 56.000 (55.532)	Prec@5 79.500 (84.179)
Epoch: [79][7120/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 1.6865 (1.6561)	Prec@1 55.000 (55.532)	Prec@5 81.000 (84.179)
Epoch: [79][7130/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.6444 (1.6561)	Prec@1 56.000 (55.533)	Prec@5 84.000 (84.179)
Epoch: [79][7140/9018]	Time 0.743 (0.618)	Data 0.001 (0.002)	Loss 1.5271 (1.6561)	Prec@1 57.000 (55.532)	Prec@5 85.500 (84.180)
Epoch: [79][7150/9018]	Time 0.587 (0.618)	Data 0.001 (0.002)	Loss 1.7540 (1.6561)	Prec@1 52.500 (55.532)	Prec@5 84.000 (84.180)
Epoch: [79][7160/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 1.7829 (1.6561)	Prec@1 56.500 (55.533)	Prec@5 84.500 (84.180)
Epoch: [79][7170/9018]	Time 0.616 (0.618)	Data 0.001 (0.002)	Loss 1.6547 (1.6561)	Prec@1 61.000 (55.533)	Prec@5 83.000 (84.179)
Epoch: [79][7180/9018]	Time 0.625 (0.618)	Data 0.001 (0.002)	Loss 1.7163 (1.6561)	Prec@1 56.500 (55.531)	Prec@5 84.000 (84.181)
Epoch: [79][7190/9018]	Time 0.615 (0.618)	Data 0.001 (0.002)	Loss 1.4722 (1.6561)	Prec@1 59.000 (55.531)	Prec@5 86.500 (84.182)
Epoch: [79][7200/9018]	Time 0.616 (0.618)	Data 0.013 (0.002)	Loss 1.7430 (1.6561)	Prec@1 51.000 (55.530)	Prec@5 83.000 (84.182)
Epoch: [79][7210/9018]	Time 0.626 (0.618)	Data 0.001 (0.002)	Loss 1.3541 (1.6560)	Prec@1 57.000 (55.532)	Prec@5 87.000 (84.185)
Epoch: [79][7220/9018]	Time 0.601 (0.618)	Data 0.001 (0.002)	Loss 1.6401 (1.6560)	Prec@1 59.500 (55.530)	Prec@5 82.000 (84.184)
Epoch: [79][7230/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 1.8549 (1.6561)	Prec@1 47.500 (55.527)	Prec@5 83.000 (84.182)
Epoch: [79][7240/9018]	Time 0.590 (0.618)	Data 0.001 (0.002)	Loss 1.8187 (1.6561)	Prec@1 50.500 (55.527)	Prec@5 84.000 (84.182)
Epoch: [79][7250/9018]	Time 0.613 (0.618)	Data 0.001 (0.002)	Loss 1.4717 (1.6561)	Prec@1 56.500 (55.528)	Prec@5 88.500 (84.182)
Epoch: [79][7260/9018]	Time 0.611 (0.618)	Data 0.009 (0.002)	Loss 1.7662 (1.6561)	Prec@1 53.500 (55.528)	Prec@5 82.500 (84.180)
Epoch: [79][7270/9018]	Time 0.622 (0.618)	Data 0.001 (0.002)	Loss 1.6962 (1.6562)	Prec@1 54.000 (55.527)	Prec@5 86.000 (84.180)
Epoch: [79][7280/9018]	Time 0.619 (0.618)	Data 0.001 (0.002)	Loss 1.7645 (1.6561)	Prec@1 51.500 (55.530)	Prec@5 83.000 (84.180)
Epoch: [79][7290/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.9042 (1.6562)	Prec@1 45.000 (55.528)	Prec@5 78.500 (84.178)
Epoch: [79][7300/9018]	Time 0.603 (0.618)	Data 0.001 (0.002)	Loss 1.6896 (1.6562)	Prec@1 54.000 (55.528)	Prec@5 82.000 (84.178)
Epoch: [79][7310/9018]	Time 0.627 (0.618)	Data 0.001 (0.002)	Loss 1.6829 (1.6562)	Prec@1 51.500 (55.528)	Prec@5 88.000 (84.178)
Epoch: [79][7320/9018]	Time 0.605 (0.618)	Data 0.001 (0.002)	Loss 1.6611 (1.6562)	Prec@1 53.000 (55.528)	Prec@5 84.000 (84.178)
Epoch: [79][7330/9018]	Time 0.613 (0.618)	Data 0.001 (0.002)	Loss 1.8693 (1.6562)	Prec@1 49.000 (55.527)	Prec@5 83.000 (84.178)
Epoch: [79][7340/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 1.7414 (1.6562)	Prec@1 51.000 (55.527)	Prec@5 82.000 (84.179)
Epoch: [79][7350/9018]	Time 0.597 (0.618)	Data 0.001 (0.002)	Loss 1.6001 (1.6563)	Prec@1 57.500 (55.527)	Prec@5 84.000 (84.177)
Epoch: [79][7360/9018]	Time 0.603 (0.618)	Data 0.001 (0.002)	Loss 1.5162 (1.6563)	Prec@1 55.500 (55.526)	Prec@5 88.500 (84.178)
Epoch: [79][7370/9018]	Time 0.605 (0.618)	Data 0.001 (0.002)	Loss 1.3825 (1.6561)	Prec@1 62.500 (55.529)	Prec@5 87.000 (84.180)
Epoch: [79][7380/9018]	Time 0.633 (0.618)	Data 0.001 (0.002)	Loss 1.6745 (1.6562)	Prec@1 53.000 (55.527)	Prec@5 83.000 (84.180)
Epoch: [79][7390/9018]	Time 0.612 (0.618)	Data 0.001 (0.002)	Loss 1.8877 (1.6562)	Prec@1 54.000 (55.524)	Prec@5 78.500 (84.180)
Epoch: [79][7400/9018]	Time 0.608 (0.618)	Data 0.001 (0.002)	Loss 1.6776 (1.6563)	Prec@1 53.500 (55.522)	Prec@5 82.000 (84.178)
Epoch: [79][7410/9018]	Time 0.609 (0.618)	Data 0.001 (0.002)	Loss 1.6608 (1.6564)	Prec@1 57.000 (55.523)	Prec@5 84.000 (84.177)
Epoch: [79][7420/9018]	Time 0.795 (0.618)	Data 0.001 (0.002)	Loss 1.5886 (1.6563)	Prec@1 57.000 (55.523)	Prec@5 84.500 (84.177)
Epoch: [79][7430/9018]	Time 0.612 (0.618)	Data 0.001 (0.002)	Loss 1.8547 (1.6563)	Prec@1 54.000 (55.523)	Prec@5 82.000 (84.178)
Epoch: [79][7440/9018]	Time 0.601 (0.618)	Data 0.001 (0.002)	Loss 1.6248 (1.6564)	Prec@1 56.500 (55.524)	Prec@5 83.500 (84.177)
Epoch: [79][7450/9018]	Time 0.627 (0.618)	Data 0.001 (0.002)	Loss 1.7726 (1.6564)	Prec@1 51.500 (55.522)	Prec@5 83.500 (84.179)
Epoch: [79][7460/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 1.8689 (1.6565)	Prec@1 48.500 (55.519)	Prec@5 79.500 (84.178)
Epoch: [79][7470/9018]	Time 0.757 (0.618)	Data 0.001 (0.002)	Loss 1.6171 (1.6565)	Prec@1 54.000 (55.518)	Prec@5 85.500 (84.179)
Epoch: [79][7480/9018]	Time 0.595 (0.618)	Data 0.001 (0.002)	Loss 1.5193 (1.6565)	Prec@1 59.000 (55.518)	Prec@5 85.500 (84.178)
Epoch: [79][7490/9018]	Time 0.606 (0.618)	Data 0.001 (0.002)	Loss 1.6393 (1.6565)	Prec@1 54.500 (55.518)	Prec@5 86.000 (84.178)
Epoch: [79][7500/9018]	Time 0.611 (0.618)	Data 0.001 (0.002)	Loss 1.6746 (1.6566)	Prec@1 56.000 (55.517)	Prec@5 85.000 (84.177)
Epoch: [79][7510/9018]	Time 0.596 (0.618)	Data 0.001 (0.002)	Loss 1.7966 (1.6566)	Prec@1 53.000 (55.516)	Prec@5 82.500 (84.176)
Epoch: [79][7520/9018]	Time 0.627 (0.618)	Data 0.001 (0.002)	Loss 1.8511 (1.6567)	Prec@1 48.500 (55.515)	Prec@5 79.500 (84.174)
Epoch: [79][7530/9018]	Time 0.586 (0.618)	Data 0.001 (0.002)	Loss 1.8436 (1.6567)	Prec@1 53.500 (55.514)	Prec@5 79.500 (84.174)
Epoch: [79][7540/9018]	Time 0.614 (0.618)	Data 0.001 (0.002)	Loss 1.7321 (1.6568)	Prec@1 52.500 (55.512)	Prec@5 82.000 (84.173)
Epoch: [79][7550/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.8362 (1.6568)	Prec@1 50.500 (55.512)	Prec@5 80.500 (84.173)
Epoch: [79][7560/9018]	Time 0.615 (0.618)	Data 0.001 (0.002)	Loss 1.6247 (1.6568)	Prec@1 58.000 (55.512)	Prec@5 82.500 (84.172)
Epoch: [79][7570/9018]	Time 0.611 (0.618)	Data 0.001 (0.002)	Loss 1.9910 (1.6569)	Prec@1 50.000 (55.507)	Prec@5 78.500 (84.171)
Epoch: [79][7580/9018]	Time 0.595 (0.618)	Data 0.001 (0.002)	Loss 1.7292 (1.6570)	Prec@1 57.500 (55.505)	Prec@5 86.000 (84.169)
Epoch: [79][7590/9018]	Time 0.645 (0.618)	Data 0.001 (0.002)	Loss 1.5738 (1.6570)	Prec@1 55.000 (55.505)	Prec@5 87.500 (84.170)
Epoch: [79][7600/9018]	Time 0.610 (0.618)	Data 0.001 (0.002)	Loss 1.6387 (1.6570)	Prec@1 53.500 (55.506)	Prec@5 84.000 (84.169)
Epoch: [79][7610/9018]	Time 0.652 (0.618)	Data 0.001 (0.002)	Loss 1.6919 (1.6570)	Prec@1 52.000 (55.506)	Prec@5 85.000 (84.168)
Epoch: [79][7620/9018]	Time 0.594 (0.618)	Data 0.001 (0.002)	Loss 1.7107 (1.6571)	Prec@1 54.500 (55.503)	Prec@5 83.500 (84.167)
Epoch: [79][7630/9018]	Time 0.613 (0.618)	Data 0.001 (0.002)	Loss 1.5038 (1.6570)	Prec@1 55.500 (55.504)	Prec@5 89.000 (84.168)
Epoch: [79][7640/9018]	Time 0.607 (0.618)	Data 0.001 (0.002)	Loss 1.7672 (1.6571)	Prec@1 52.500 (55.503)	Prec@5 81.500 (84.168)
Epoch: [79][7650/9018]	Time 0.594 (0.618)	Data 0.001 (0.002)	Loss 1.8236 (1.6572)	Prec@1 58.000 (55.501)	Prec@5 80.500 (84.166)
Epoch: [79][7660/9018]	Time 0.607 (0.618)	Data 0.001 (0.002)	Loss 1.6776 (1.6572)	Prec@1 54.500 (55.501)	Prec@5 85.500 (84.166)
Epoch: [79][7670/9018]	Time 0.609 (0.618)	Data 0.001 (0.002)	Loss 1.8563 (1.6572)	Prec@1 49.500 (55.502)	Prec@5 79.000 (84.166)
Epoch: [79][7680/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 1.7352 (1.6572)	Prec@1 58.000 (55.502)	Prec@5 83.000 (84.167)
Epoch: [79][7690/9018]	Time 0.591 (0.618)	Data 0.001 (0.002)	Loss 1.7298 (1.6572)	Prec@1 51.500 (55.500)	Prec@5 83.000 (84.167)
Epoch: [79][7700/9018]	Time 0.623 (0.618)	Data 0.001 (0.002)	Loss 1.6561 (1.6573)	Prec@1 55.500 (55.500)	Prec@5 83.000 (84.165)
Epoch: [79][7710/9018]	Time 0.608 (0.618)	Data 0.001 (0.002)	Loss 1.5581 (1.6572)	Prec@1 55.500 (55.499)	Prec@5 87.500 (84.167)
Epoch: [79][7720/9018]	Time 0.603 (0.618)	Data 0.001 (0.002)	Loss 1.4950 (1.6573)	Prec@1 62.000 (55.499)	Prec@5 85.000 (84.167)
Epoch: [79][7730/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 1.6741 (1.6572)	Prec@1 53.000 (55.500)	Prec@5 85.000 (84.168)
Epoch: [79][7740/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 1.8607 (1.6572)	Prec@1 47.500 (55.500)	Prec@5 82.000 (84.169)
Epoch: [79][7750/9018]	Time 0.754 (0.618)	Data 0.001 (0.002)	Loss 1.8618 (1.6574)	Prec@1 51.000 (55.498)	Prec@5 81.000 (84.166)
Epoch: [79][7760/9018]	Time 0.596 (0.618)	Data 0.001 (0.002)	Loss 1.5229 (1.6574)	Prec@1 59.500 (55.499)	Prec@5 87.500 (84.165)
Epoch: [79][7770/9018]	Time 0.591 (0.618)	Data 0.001 (0.002)	Loss 1.4738 (1.6573)	Prec@1 57.000 (55.500)	Prec@5 87.000 (84.166)
Epoch: [79][7780/9018]	Time 0.603 (0.618)	Data 0.001 (0.002)	Loss 1.6132 (1.6573)	Prec@1 59.000 (55.500)	Prec@5 86.000 (84.166)
Epoch: [79][7790/9018]	Time 0.587 (0.618)	Data 0.001 (0.002)	Loss 1.6528 (1.6574)	Prec@1 54.500 (55.496)	Prec@5 86.500 (84.164)
Epoch: [79][7800/9018]	Time 0.796 (0.618)	Data 0.001 (0.002)	Loss 1.5802 (1.6574)	Prec@1 58.000 (55.499)	Prec@5 84.000 (84.166)
Epoch: [79][7810/9018]	Time 0.606 (0.618)	Data 0.005 (0.002)	Loss 1.5362 (1.6574)	Prec@1 57.500 (55.497)	Prec@5 86.500 (84.165)
Epoch: [79][7820/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 1.8618 (1.6574)	Prec@1 53.000 (55.500)	Prec@5 78.500 (84.165)
Epoch: [79][7830/9018]	Time 0.604 (0.618)	Data 0.006 (0.002)	Loss 1.8181 (1.6575)	Prec@1 52.500 (55.499)	Prec@5 82.500 (84.164)
Epoch: [79][7840/9018]	Time 0.644 (0.618)	Data 0.001 (0.002)	Loss 1.8811 (1.6575)	Prec@1 53.000 (55.497)	Prec@5 80.500 (84.163)
Epoch: [79][7850/9018]	Time 0.610 (0.618)	Data 0.001 (0.002)	Loss 1.6776 (1.6576)	Prec@1 59.000 (55.494)	Prec@5 85.000 (84.162)
Epoch: [79][7860/9018]	Time 0.590 (0.618)	Data 0.001 (0.002)	Loss 1.7520 (1.6576)	Prec@1 56.000 (55.494)	Prec@5 85.500 (84.163)
Epoch: [79][7870/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 1.5126 (1.6576)	Prec@1 60.000 (55.493)	Prec@5 87.500 (84.163)
Epoch: [79][7880/9018]	Time 0.614 (0.618)	Data 0.001 (0.002)	Loss 1.5656 (1.6576)	Prec@1 57.000 (55.492)	Prec@5 86.500 (84.162)
Epoch: [79][7890/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 1.6547 (1.6576)	Prec@1 53.500 (55.492)	Prec@5 83.500 (84.163)
Epoch: [79][7900/9018]	Time 0.610 (0.618)	Data 0.001 (0.002)	Loss 1.8487 (1.6577)	Prec@1 53.500 (55.492)	Prec@5 77.000 (84.161)
Epoch: [79][7910/9018]	Time 0.588 (0.618)	Data 0.001 (0.002)	Loss 1.5306 (1.6577)	Prec@1 58.500 (55.493)	Prec@5 90.000 (84.162)
Epoch: [79][7920/9018]	Time 0.618 (0.618)	Data 0.001 (0.002)	Loss 1.6176 (1.6577)	Prec@1 59.000 (55.492)	Prec@5 81.000 (84.162)
Epoch: [79][7930/9018]	Time 0.610 (0.618)	Data 0.001 (0.002)	Loss 1.6808 (1.6576)	Prec@1 50.000 (55.493)	Prec@5 82.500 (84.163)
Epoch: [79][7940/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.6457 (1.6576)	Prec@1 55.500 (55.493)	Prec@5 85.500 (84.165)
Epoch: [79][7950/9018]	Time 0.617 (0.618)	Data 0.001 (0.002)	Loss 1.6789 (1.6575)	Prec@1 54.000 (55.493)	Prec@5 83.500 (84.166)
Epoch: [79][7960/9018]	Time 0.606 (0.618)	Data 0.001 (0.002)	Loss 1.6504 (1.6575)	Prec@1 53.500 (55.494)	Prec@5 83.500 (84.166)
Epoch: [79][7970/9018]	Time 0.605 (0.618)	Data 0.001 (0.002)	Loss 1.8018 (1.6575)	Prec@1 50.000 (55.493)	Prec@5 82.000 (84.165)
Epoch: [79][7980/9018]	Time 0.622 (0.618)	Data 0.001 (0.002)	Loss 1.7031 (1.6575)	Prec@1 55.000 (55.494)	Prec@5 84.500 (84.165)
Epoch: [79][7990/9018]	Time 0.622 (0.618)	Data 0.001 (0.002)	Loss 1.7517 (1.6576)	Prec@1 52.500 (55.493)	Prec@5 81.000 (84.164)
Epoch: [79][8000/9018]	Time 0.594 (0.618)	Data 0.001 (0.002)	Loss 1.5622 (1.6576)	Prec@1 56.000 (55.491)	Prec@5 88.500 (84.163)
Epoch: [79][8010/9018]	Time 0.605 (0.618)	Data 0.001 (0.002)	Loss 1.5141 (1.6576)	Prec@1 53.000 (55.491)	Prec@5 88.500 (84.164)
Epoch: [79][8020/9018]	Time 0.615 (0.618)	Data 0.001 (0.002)	Loss 1.7101 (1.6576)	Prec@1 53.500 (55.491)	Prec@5 84.500 (84.163)
Epoch: [79][8030/9018]	Time 0.606 (0.618)	Data 0.001 (0.002)	Loss 1.7953 (1.6577)	Prec@1 53.000 (55.492)	Prec@5 79.500 (84.161)
Epoch: [79][8040/9018]	Time 0.610 (0.618)	Data 0.001 (0.002)	Loss 1.5988 (1.6577)	Prec@1 55.000 (55.489)	Prec@5 84.500 (84.161)
Epoch: [79][8050/9018]	Time 0.604 (0.618)	Data 0.021 (0.002)	Loss 1.4725 (1.6577)	Prec@1 59.000 (55.489)	Prec@5 87.500 (84.161)
Epoch: [79][8060/9018]	Time 0.607 (0.618)	Data 0.001 (0.002)	Loss 1.7571 (1.6577)	Prec@1 52.000 (55.488)	Prec@5 84.000 (84.160)
Epoch: [79][8070/9018]	Time 0.630 (0.618)	Data 0.001 (0.002)	Loss 1.6355 (1.6578)	Prec@1 59.000 (55.485)	Prec@5 85.000 (84.158)
Epoch: [79][8080/9018]	Time 0.754 (0.618)	Data 0.001 (0.002)	Loss 1.6918 (1.6578)	Prec@1 51.500 (55.485)	Prec@5 82.000 (84.157)
Epoch: [79][8090/9018]	Time 0.592 (0.618)	Data 0.001 (0.002)	Loss 1.6744 (1.6579)	Prec@1 57.000 (55.487)	Prec@5 83.000 (84.157)
Epoch: [79][8100/9018]	Time 0.607 (0.618)	Data 0.001 (0.002)	Loss 1.6183 (1.6578)	Prec@1 57.000 (55.488)	Prec@5 86.500 (84.157)
Epoch: [79][8110/9018]	Time 0.611 (0.618)	Data 0.001 (0.002)	Loss 1.8239 (1.6578)	Prec@1 51.000 (55.487)	Prec@5 81.500 (84.158)
Epoch: [79][8120/9018]	Time 0.611 (0.618)	Data 0.001 (0.002)	Loss 1.5302 (1.6578)	Prec@1 63.000 (55.489)	Prec@5 86.000 (84.158)
Epoch: [79][8130/9018]	Time 0.761 (0.618)	Data 0.009 (0.002)	Loss 1.5667 (1.6578)	Prec@1 56.500 (55.490)	Prec@5 86.000 (84.158)
Epoch: [79][8140/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 1.7592 (1.6578)	Prec@1 55.000 (55.488)	Prec@5 82.000 (84.157)
Epoch: [79][8150/9018]	Time 0.611 (0.618)	Data 0.001 (0.002)	Loss 1.6088 (1.6578)	Prec@1 56.500 (55.489)	Prec@5 84.000 (84.158)
Epoch: [79][8160/9018]	Time 0.614 (0.618)	Data 0.001 (0.002)	Loss 1.6957 (1.6578)	Prec@1 61.500 (55.490)	Prec@5 81.500 (84.157)
Epoch: [79][8170/9018]	Time 0.629 (0.618)	Data 0.001 (0.002)	Loss 1.7834 (1.6579)	Prec@1 53.500 (55.490)	Prec@5 83.000 (84.157)
Epoch: [79][8180/9018]	Time 0.609 (0.618)	Data 0.001 (0.002)	Loss 1.7467 (1.6579)	Prec@1 51.000 (55.487)	Prec@5 81.500 (84.156)
Epoch: [79][8190/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.4530 (1.6578)	Prec@1 59.500 (55.490)	Prec@5 90.500 (84.160)
Epoch: [79][8200/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 1.6769 (1.6577)	Prec@1 56.000 (55.490)	Prec@5 82.000 (84.160)
Epoch: [79][8210/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 1.6666 (1.6578)	Prec@1 55.500 (55.490)	Prec@5 82.000 (84.160)
Epoch: [79][8220/9018]	Time 0.624 (0.618)	Data 0.001 (0.002)	Loss 1.5970 (1.6578)	Prec@1 58.500 (55.492)	Prec@5 84.500 (84.160)
Epoch: [79][8230/9018]	Time 0.601 (0.618)	Data 0.001 (0.002)	Loss 1.7292 (1.6578)	Prec@1 55.500 (55.492)	Prec@5 82.500 (84.159)
Epoch: [79][8240/9018]	Time 0.593 (0.618)	Data 0.001 (0.002)	Loss 1.5484 (1.6578)	Prec@1 61.000 (55.495)	Prec@5 84.500 (84.158)
Epoch: [79][8250/9018]	Time 0.605 (0.618)	Data 0.001 (0.002)	Loss 1.6695 (1.6578)	Prec@1 59.000 (55.495)	Prec@5 86.000 (84.159)
Epoch: [79][8260/9018]	Time 0.612 (0.618)	Data 0.001 (0.002)	Loss 1.7532 (1.6578)	Prec@1 57.500 (55.493)	Prec@5 83.000 (84.159)
Epoch: [79][8270/9018]	Time 0.608 (0.618)	Data 0.001 (0.002)	Loss 1.7040 (1.6578)	Prec@1 54.500 (55.494)	Prec@5 85.000 (84.160)
Epoch: [79][8280/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.7491 (1.6578)	Prec@1 55.500 (55.494)	Prec@5 83.500 (84.160)
Epoch: [79][8290/9018]	Time 0.601 (0.618)	Data 0.001 (0.002)	Loss 1.5450 (1.6578)	Prec@1 60.500 (55.494)	Prec@5 84.500 (84.158)
Epoch: [79][8300/9018]	Time 0.602 (0.618)	Data 0.001 (0.002)	Loss 1.7210 (1.6578)	Prec@1 61.000 (55.497)	Prec@5 81.000 (84.158)
Epoch: [79][8310/9018]	Time 0.620 (0.618)	Data 0.001 (0.002)	Loss 1.5211 (1.6577)	Prec@1 52.000 (55.498)	Prec@5 88.500 (84.159)
Epoch: [79][8320/9018]	Time 0.603 (0.618)	Data 0.001 (0.002)	Loss 1.8356 (1.6577)	Prec@1 52.500 (55.498)	Prec@5 82.000 (84.159)
Epoch: [79][8330/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 1.8695 (1.6578)	Prec@1 55.500 (55.497)	Prec@5 82.500 (84.157)
Epoch: [79][8340/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 1.5882 (1.6578)	Prec@1 60.500 (55.498)	Prec@5 85.500 (84.158)
Epoch: [79][8350/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.5336 (1.6578)	Prec@1 61.500 (55.497)	Prec@5 86.000 (84.158)
Epoch: [79][8360/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 1.6881 (1.6579)	Prec@1 54.000 (55.495)	Prec@5 82.000 (84.156)
Epoch: [79][8370/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.6150 (1.6579)	Prec@1 57.000 (55.495)	Prec@5 84.500 (84.156)
Epoch: [79][8380/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 1.6341 (1.6580)	Prec@1 54.500 (55.492)	Prec@5 85.500 (84.155)
Epoch: [79][8390/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 1.6406 (1.6580)	Prec@1 56.000 (55.492)	Prec@5 88.500 (84.157)
Epoch: [79][8400/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.6114 (1.6580)	Prec@1 57.500 (55.492)	Prec@5 86.000 (84.156)
Epoch: [79][8410/9018]	Time 0.693 (0.617)	Data 0.001 (0.002)	Loss 1.6341 (1.6579)	Prec@1 55.500 (55.495)	Prec@5 86.500 (84.157)
Epoch: [79][8420/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 1.6189 (1.6580)	Prec@1 56.500 (55.494)	Prec@5 86.500 (84.156)
Epoch: [79][8430/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 1.6988 (1.6580)	Prec@1 53.000 (55.494)	Prec@5 86.500 (84.156)
Epoch: [79][8440/9018]	Time 0.596 (0.617)	Data 0.001 (0.002)	Loss 1.5091 (1.6581)	Prec@1 56.500 (55.494)	Prec@5 88.500 (84.155)
Epoch: [79][8450/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.7743 (1.6580)	Prec@1 52.500 (55.494)	Prec@5 83.000 (84.155)
Epoch: [79][8460/9018]	Time 0.728 (0.617)	Data 0.001 (0.002)	Loss 1.8220 (1.6581)	Prec@1 50.500 (55.491)	Prec@5 81.500 (84.154)
Epoch: [79][8470/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.7508 (1.6582)	Prec@1 56.000 (55.491)	Prec@5 80.500 (84.153)
Epoch: [79][8480/9018]	Time 0.589 (0.617)	Data 0.001 (0.002)	Loss 1.6798 (1.6582)	Prec@1 55.500 (55.491)	Prec@5 82.000 (84.151)
Epoch: [79][8490/9018]	Time 0.620 (0.617)	Data 0.001 (0.002)	Loss 1.7622 (1.6583)	Prec@1 52.500 (55.491)	Prec@5 84.500 (84.150)
Epoch: [79][8500/9018]	Time 0.611 (0.617)	Data 0.001 (0.002)	Loss 1.7810 (1.6583)	Prec@1 51.000 (55.488)	Prec@5 84.000 (84.150)
Epoch: [79][8510/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 1.6895 (1.6583)	Prec@1 50.500 (55.488)	Prec@5 84.000 (84.151)
Epoch: [79][8520/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 1.7516 (1.6583)	Prec@1 53.000 (55.487)	Prec@5 84.000 (84.151)
Epoch: [79][8530/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 1.8189 (1.6583)	Prec@1 54.500 (55.487)	Prec@5 81.000 (84.152)
Epoch: [79][8540/9018]	Time 0.611 (0.617)	Data 0.001 (0.002)	Loss 1.5003 (1.6582)	Prec@1 56.000 (55.487)	Prec@5 88.500 (84.155)
Epoch: [79][8550/9018]	Time 0.626 (0.617)	Data 0.001 (0.002)	Loss 1.8222 (1.6582)	Prec@1 52.000 (55.484)	Prec@5 86.000 (84.154)
Epoch: [79][8560/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.7797 (1.6582)	Prec@1 55.000 (55.483)	Prec@5 82.000 (84.154)
Epoch: [79][8570/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 1.5910 (1.6582)	Prec@1 56.500 (55.484)	Prec@5 88.500 (84.156)
Epoch: [79][8580/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 1.4877 (1.6582)	Prec@1 57.000 (55.485)	Prec@5 86.000 (84.155)
Epoch: [79][8590/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 1.7203 (1.6581)	Prec@1 57.000 (55.486)	Prec@5 82.000 (84.155)
Epoch: [79][8600/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 1.9315 (1.6582)	Prec@1 49.500 (55.484)	Prec@5 77.000 (84.155)
Epoch: [79][8610/9018]	Time 0.604 (0.617)	Data 0.001 (0.002)	Loss 1.7078 (1.6582)	Prec@1 56.500 (55.484)	Prec@5 82.000 (84.155)
Epoch: [79][8620/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.5755 (1.6582)	Prec@1 58.500 (55.482)	Prec@5 83.500 (84.154)
Epoch: [79][8630/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.5998 (1.6582)	Prec@1 53.000 (55.482)	Prec@5 85.500 (84.154)
Epoch: [79][8640/9018]	Time 0.607 (0.617)	Data 0.001 (0.002)	Loss 1.7298 (1.6582)	Prec@1 54.500 (55.482)	Prec@5 84.000 (84.155)
Epoch: [79][8650/9018]	Time 0.615 (0.617)	Data 0.001 (0.002)	Loss 1.7265 (1.6582)	Prec@1 53.000 (55.482)	Prec@5 81.000 (84.154)
Epoch: [79][8660/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.7408 (1.6582)	Prec@1 53.500 (55.482)	Prec@5 83.500 (84.154)
Epoch: [79][8670/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.9269 (1.6583)	Prec@1 52.000 (55.480)	Prec@5 79.500 (84.153)
Epoch: [79][8680/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.6958 (1.6583)	Prec@1 56.500 (55.478)	Prec@5 86.000 (84.153)
Epoch: [79][8690/9018]	Time 0.597 (0.617)	Data 0.001 (0.002)	Loss 1.5974 (1.6583)	Prec@1 57.000 (55.478)	Prec@5 86.500 (84.153)
Epoch: [79][8700/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.7421 (1.6584)	Prec@1 52.500 (55.475)	Prec@5 80.500 (84.152)
Epoch: [79][8710/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.5852 (1.6584)	Prec@1 57.000 (55.476)	Prec@5 85.000 (84.153)
Epoch: [79][8720/9018]	Time 0.623 (0.617)	Data 0.001 (0.002)	Loss 1.8283 (1.6583)	Prec@1 53.000 (55.476)	Prec@5 79.500 (84.153)
Epoch: [79][8730/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.6844 (1.6584)	Prec@1 54.000 (55.477)	Prec@5 84.000 (84.152)
Epoch: [79][8740/9018]	Time 0.698 (0.617)	Data 0.001 (0.002)	Loss 1.7838 (1.6584)	Prec@1 53.500 (55.476)	Prec@5 80.500 (84.152)
Epoch: [79][8750/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.7637 (1.6583)	Prec@1 54.500 (55.477)	Prec@5 82.000 (84.153)
Epoch: [79][8760/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.6366 (1.6584)	Prec@1 55.500 (55.476)	Prec@5 83.500 (84.152)
Epoch: [79][8770/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.7119 (1.6584)	Prec@1 55.500 (55.477)	Prec@5 81.500 (84.152)
Epoch: [79][8780/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.7614 (1.6583)	Prec@1 52.500 (55.477)	Prec@5 83.000 (84.153)
Epoch: [79][8790/9018]	Time 0.710 (0.617)	Data 0.001 (0.002)	Loss 1.8225 (1.6583)	Prec@1 51.000 (55.477)	Prec@5 80.000 (84.152)
Epoch: [79][8800/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.5662 (1.6584)	Prec@1 60.000 (55.476)	Prec@5 86.000 (84.150)
Epoch: [79][8810/9018]	Time 0.595 (0.617)	Data 0.001 (0.002)	Loss 1.5484 (1.6583)	Prec@1 58.000 (55.477)	Prec@5 87.000 (84.151)
Epoch: [79][8820/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.6551 (1.6583)	Prec@1 54.000 (55.479)	Prec@5 85.500 (84.151)
Epoch: [79][8830/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 1.6781 (1.6584)	Prec@1 53.500 (55.477)	Prec@5 84.000 (84.152)
Epoch: [79][8840/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 1.6460 (1.6583)	Prec@1 58.000 (55.478)	Prec@5 85.500 (84.153)
Epoch: [79][8850/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 1.7116 (1.6584)	Prec@1 51.500 (55.478)	Prec@5 85.500 (84.152)
Epoch: [79][8860/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 1.5651 (1.6584)	Prec@1 56.500 (55.477)	Prec@5 88.000 (84.152)
Epoch: [79][8870/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.5780 (1.6584)	Prec@1 54.500 (55.475)	Prec@5 85.000 (84.151)
Epoch: [79][8880/9018]	Time 0.606 (0.617)	Data 0.001 (0.002)	Loss 1.5786 (1.6585)	Prec@1 62.000 (55.475)	Prec@5 83.000 (84.150)
Epoch: [79][8890/9018]	Time 0.600 (0.617)	Data 0.001 (0.002)	Loss 1.6878 (1.6585)	Prec@1 54.500 (55.475)	Prec@5 84.500 (84.149)
Epoch: [79][8900/9018]	Time 0.605 (0.617)	Data 0.001 (0.002)	Loss 1.9433 (1.6585)	Prec@1 49.500 (55.474)	Prec@5 80.000 (84.150)
Epoch: [79][8910/9018]	Time 0.594 (0.617)	Data 0.001 (0.002)	Loss 1.6602 (1.6586)	Prec@1 54.500 (55.473)	Prec@5 85.000 (84.150)
Epoch: [79][8920/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.4960 (1.6585)	Prec@1 60.000 (55.474)	Prec@5 87.000 (84.150)
Epoch: [79][8930/9018]	Time 0.593 (0.617)	Data 0.001 (0.002)	Loss 1.6358 (1.6586)	Prec@1 58.000 (55.473)	Prec@5 87.000 (84.150)
Epoch: [79][8940/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.6816 (1.6587)	Prec@1 53.500 (55.472)	Prec@5 83.500 (84.150)
Epoch: [79][8950/9018]	Time 0.624 (0.617)	Data 0.001 (0.002)	Loss 1.7040 (1.6587)	Prec@1 55.500 (55.471)	Prec@5 82.500 (84.149)
Epoch: [79][8960/9018]	Time 0.601 (0.617)	Data 0.001 (0.002)	Loss 1.7797 (1.6587)	Prec@1 52.500 (55.469)	Prec@5 86.000 (84.150)
Epoch: [79][8970/9018]	Time 0.599 (0.617)	Data 0.001 (0.002)	Loss 1.5735 (1.6587)	Prec@1 56.000 (55.470)	Prec@5 85.000 (84.150)
Epoch: [79][8980/9018]	Time 0.602 (0.617)	Data 0.001 (0.002)	Loss 1.6096 (1.6587)	Prec@1 57.000 (55.470)	Prec@5 86.000 (84.150)
Epoch: [79][8990/9018]	Time 0.603 (0.617)	Data 0.001 (0.002)	Loss 1.6267 (1.6586)	Prec@1 52.500 (55.472)	Prec@5 85.000 (84.150)
Epoch: [79][9000/9018]	Time 0.598 (0.617)	Data 0.001 (0.002)	Loss 1.4567 (1.6587)	Prec@1 60.500 (55.472)	Prec@5 91.500 (84.151)
Epoch: [79][9010/9018]	Time 0.592 (0.617)	Data 0.000 (0.002)	Loss 1.8265 (1.6587)	Prec@1 53.000 (55.472)	Prec@5 80.500 (84.151)
Test: [0/183]	Time 1.299 (1.299)	Loss 2.5068 (2.5068)	Prec@1 33.500 (33.500)	Prec@5 71.500 (71.500)
Test: [10/183]	Time 0.180 (0.298)	Loss 1.5702 (1.6296)	Prec@1 63.500 (56.045)	Prec@5 84.500 (85.864)
Test: [20/183]	Time 0.234 (0.246)	Loss 1.9433 (1.6097)	Prec@1 49.500 (56.762)	Prec@5 82.000 (85.810)
Test: [30/183]	Time 0.182 (0.227)	Loss 2.0935 (1.6108)	Prec@1 41.000 (56.355)	Prec@5 80.500 (86.129)
Test: [40/183]	Time 0.199 (0.219)	Loss 2.2674 (1.6169)	Prec@1 39.500 (56.915)	Prec@5 78.000 (85.659)
Test: [50/183]	Time 0.189 (0.213)	Loss 1.4269 (1.5876)	Prec@1 55.500 (57.353)	Prec@5 90.500 (86.010)
Test: [60/183]	Time 0.181 (0.209)	Loss 2.1464 (1.6609)	Prec@1 44.500 (55.311)	Prec@5 75.500 (85.205)
Test: [70/183]	Time 0.190 (0.207)	Loss 1.6198 (1.6485)	Prec@1 56.000 (55.373)	Prec@5 87.000 (85.570)
Test: [80/183]	Time 0.192 (0.205)	Loss 1.3233 (1.6309)	Prec@1 59.500 (55.568)	Prec@5 92.500 (85.784)
Test: [90/183]	Time 0.188 (0.204)	Loss 2.2820 (1.6324)	Prec@1 36.000 (55.478)	Prec@5 76.000 (85.797)
Test: [100/183]	Time 0.192 (0.203)	Loss 0.7663 (1.6342)	Prec@1 77.000 (55.589)	Prec@5 95.000 (85.728)
Test: [110/183]	Time 0.184 (0.202)	Loss 0.6597 (1.6404)	Prec@1 83.500 (55.500)	Prec@5 96.500 (85.604)
Test: [120/183]	Time 0.184 (0.202)	Loss 2.0784 (1.6444)	Prec@1 46.000 (55.372)	Prec@5 77.000 (85.579)
Test: [130/183]	Time 0.187 (0.201)	Loss 2.8133 (1.6519)	Prec@1 20.500 (55.107)	Prec@5 74.500 (85.630)
Test: [140/183]	Time 0.191 (0.200)	Loss 1.4597 (1.6414)	Prec@1 59.000 (55.362)	Prec@5 87.500 (85.745)
Test: [150/183]	Time 0.205 (0.200)	Loss 0.6414 (1.6406)	Prec@1 83.000 (55.427)	Prec@5 97.000 (85.755)
Test: [160/183]	Time 0.188 (0.199)	Loss 1.6320 (1.6355)	Prec@1 52.000 (55.699)	Prec@5 85.500 (85.817)
Test: [170/183]	Time 0.188 (0.199)	Loss 2.0832 (1.6505)	Prec@1 34.500 (55.284)	Prec@5 85.500 (85.649)
Test: [180/183]	Time 0.187 (0.198)	Loss 1.8621 (1.6586)	Prec@1 46.500 (55.160)	Prec@5 84.000 (85.461)
 * Prec@1 55.121 Prec@5 85.452
Epoch: [80][0/9018]	Time 2.703 (2.703)	Data 2.078 (2.078)	Loss 1.6527 (1.6527)	Prec@1 55.000 (55.000)	Prec@5 83.500 (83.500)
Epoch: [80][10/9018]	Time 0.590 (0.803)	Data 0.001 (0.189)	Loss 1.6358 (1.5878)	Prec@1 54.500 (56.727)	Prec@5 82.500 (84.818)
Epoch: [80][20/9018]	Time 0.600 (0.710)	Data 0.001 (0.100)	Loss 1.7150 (1.5936)	Prec@1 53.000 (56.929)	Prec@5 83.000 (84.690)
Epoch: [80][30/9018]	Time 0.600 (0.674)	Data 0.001 (0.068)	Loss 1.7309 (1.6051)	Prec@1 50.500 (56.855)	Prec@5 82.500 (84.629)
Epoch: [80][40/9018]	Time 0.597 (0.659)	Data 0.001 (0.051)	Loss 1.5607 (1.6135)	Prec@1 59.500 (56.878)	Prec@5 86.000 (84.659)
Epoch: [80][50/9018]	Time 0.600 (0.647)	Data 0.001 (0.041)	Loss 1.8158 (1.6080)	Prec@1 56.500 (57.088)	Prec@5 79.500 (84.637)
Epoch: [80][60/9018]	Time 0.596 (0.641)	Data 0.001 (0.035)	Loss 1.7610 (1.6214)	Prec@1 55.000 (56.811)	Prec@5 82.500 (84.549)
Epoch: [80][70/9018]	Time 0.603 (0.637)	Data 0.001 (0.030)	Loss 1.5891 (1.6214)	Prec@1 59.000 (56.754)	Prec@5 84.500 (84.535)
Epoch: [80][80/9018]	Time 0.619 (0.632)	Data 0.001 (0.026)	Loss 1.5309 (1.6195)	Prec@1 59.500 (56.784)	Prec@5 84.500 (84.512)
Epoch: [80][90/9018]	Time 0.634 (0.631)	Data 0.001 (0.024)	Loss 1.7979 (1.6254)	Prec@1 54.000 (56.703)	Prec@5 82.000 (84.484)
Epoch: [80][100/9018]	Time 0.594 (0.628)	Data 0.001 (0.021)	Loss 1.9214 (1.6281)	Prec@1 54.500 (56.673)	Prec@5 80.000 (84.510)
Epoch: [80][110/9018]	Time 0.596 (0.627)	Data 0.001 (0.019)	Loss 1.7472 (1.6283)	Prec@1 54.500 (56.595)	Prec@5 83.000 (84.505)
Epoch: [80][120/9018]	Time 0.602 (0.626)	Data 0.001 (0.018)	Loss 1.7017 (1.6287)	Prec@1 55.500 (56.562)	Prec@5 81.000 (84.417)
Epoch: [80][130/9018]	Time 0.613 (0.624)	Data 0.001 (0.017)	Loss 1.6717 (1.6238)	Prec@1 55.500 (56.634)	Prec@5 83.500 (84.576)
Epoch: [80][140/9018]	Time 0.622 (0.623)	Data 0.001 (0.015)	Loss 1.6526 (1.6265)	Prec@1 54.000 (56.539)	Prec@5 83.000 (84.589)
Epoch: [80][150/9018]	Time 0.601 (0.622)	Data 0.001 (0.014)	Loss 1.7257 (1.6267)	Prec@1 57.000 (56.480)	Prec@5 84.500 (84.589)
Epoch: [80][160/9018]	Time 0.600 (0.621)	Data 0.001 (0.014)	Loss 1.7273 (1.6243)	Prec@1 54.000 (56.450)	Prec@5 82.500 (84.671)
Epoch: [80][170/9018]	Time 0.598 (0.621)	Data 0.001 (0.013)	Loss 1.5897 (1.6233)	Prec@1 57.000 (56.462)	Prec@5 87.000 (84.579)
Epoch: [80][180/9018]	Time 0.607 (0.620)	Data 0.001 (0.012)	Loss 1.7938 (1.6223)	Prec@1 52.000 (56.522)	Prec@5 84.500 (84.599)
Epoch: [80][190/9018]	Time 0.610 (0.619)	Data 0.001 (0.012)	Loss 1.6519 (1.6246)	Prec@1 58.500 (56.411)	Prec@5 82.500 (84.539)
Epoch: [80][200/9018]	Time 0.744 (0.619)	Data 0.001 (0.011)	Loss 1.5530 (1.6244)	Prec@1 55.500 (56.368)	Prec@5 86.500 (84.555)
Epoch: [80][210/9018]	Time 0.601 (0.618)	Data 0.001 (0.011)	Loss 1.8315 (1.6262)	Prec@1 51.000 (56.389)	Prec@5 78.500 (84.495)
Epoch: [80][220/9018]	Time 0.601 (0.618)	Data 0.001 (0.010)	Loss 1.4609 (1.6282)	Prec@1 62.500 (56.348)	Prec@5 85.500 (84.471)
Epoch: [80][230/9018]	Time 0.600 (0.617)	Data 0.001 (0.010)	Loss 1.7168 (1.6287)	Prec@1 55.500 (56.323)	Prec@5 81.000 (84.459)
Epoch: [80][240/9018]	Time 0.592 (0.617)	Data 0.001 (0.009)	Loss 1.6209 (1.6296)	Prec@1 55.500 (56.245)	Prec@5 83.000 (84.427)
Epoch: [80][250/9018]	Time 0.727 (0.617)	Data 0.001 (0.009)	Loss 1.8324 (1.6326)	Prec@1 49.000 (56.175)	Prec@5 79.500 (84.378)
Epoch: [80][260/9018]	Time 0.606 (0.617)	Data 0.001 (0.009)	Loss 1.5432 (1.6323)	Prec@1 57.500 (56.134)	Prec@5 82.500 (84.374)
Epoch: [80][270/9018]	Time 0.606 (0.616)	Data 0.001 (0.008)	Loss 1.5869 (1.6338)	Prec@1 53.000 (56.090)	Prec@5 88.500 (84.375)
Epoch: [80][280/9018]	Time 0.603 (0.616)	Data 0.001 (0.008)	Loss 1.3921 (1.6353)	Prec@1 59.500 (56.025)	Prec@5 87.500 (84.352)
Epoch: [80][290/9018]	Time 0.615 (0.616)	Data 0.001 (0.008)	Loss 1.8425 (1.6341)	Prec@1 53.500 (56.058)	Prec@5 80.000 (84.392)
Epoch: [80][300/9018]	Time 0.597 (0.616)	Data 0.001 (0.008)	Loss 1.7147 (1.6351)	Prec@1 58.000 (56.055)	Prec@5 86.000 (84.374)
Epoch: [80][310/9018]	Time 0.607 (0.615)	Data 0.001 (0.007)	Loss 1.6940 (1.6349)	Prec@1 53.000 (56.093)	Prec@5 87.000 (84.373)
Epoch: [80][320/9018]	Time 0.606 (0.615)	Data 0.001 (0.007)	Loss 1.7608 (1.6348)	Prec@1 51.000 (56.084)	Prec@5 84.000 (84.361)
Epoch: [80][330/9018]	Time 0.595 (0.615)	Data 0.001 (0.007)	Loss 1.4170 (1.6348)	Prec@1 60.000 (56.083)	Prec@5 86.500 (84.364)
Epoch: [80][340/9018]	Time 0.606 (0.615)	Data 0.001 (0.007)	Loss 1.7264 (1.6336)	Prec@1 48.000 (56.100)	Prec@5 85.500 (84.406)
Epoch: [80][350/9018]	Time 0.596 (0.615)	Data 0.001 (0.007)	Loss 1.4647 (1.6332)	Prec@1 58.000 (56.078)	Prec@5 87.500 (84.425)
Epoch: [80][360/9018]	Time 0.603 (0.614)	Data 0.001 (0.006)	Loss 1.4364 (1.6334)	Prec@1 60.500 (56.102)	Prec@5 89.000 (84.427)
Epoch: [80][370/9018]	Time 0.595 (0.614)	Data 0.001 (0.006)	Loss 1.5119 (1.6332)	Prec@1 60.000 (56.101)	Prec@5 84.500 (84.419)
Epoch: [80][380/9018]	Time 0.601 (0.614)	Data 0.001 (0.006)	Loss 1.7152 (1.6340)	Prec@1 55.500 (56.104)	Prec@5 84.500 (84.409)
Epoch: [80][390/9018]	Time 0.605 (0.614)	Data 0.001 (0.006)	Loss 1.5000 (1.6345)	Prec@1 59.000 (56.106)	Prec@5 85.000 (84.418)
Epoch: [80][400/9018]	Time 0.598 (0.614)	Data 0.001 (0.006)	Loss 1.7622 (1.6336)	Prec@1 49.000 (56.138)	Prec@5 84.500 (84.431)
Epoch: [80][410/9018]	Time 0.603 (0.613)	Data 0.001 (0.006)	Loss 1.6704 (1.6334)	Prec@1 55.000 (56.150)	Prec@5 83.500 (84.448)
Epoch: [80][420/9018]	Time 0.595 (0.613)	Data 0.001 (0.006)	Loss 1.6514 (1.6336)	Prec@1 51.500 (56.154)	Prec@5 87.500 (84.468)
Epoch: [80][430/9018]	Time 0.600 (0.613)	Data 0.001 (0.006)	Loss 1.7463 (1.6328)	Prec@1 57.500 (56.159)	Prec@5 80.500 (84.485)
Epoch: [80][440/9018]	Time 0.599 (0.613)	Data 0.001 (0.005)	Loss 1.6402 (1.6324)	Prec@1 55.500 (56.170)	Prec@5 86.000 (84.484)
Epoch: [80][450/9018]	Time 0.599 (0.613)	Data 0.001 (0.005)	Loss 1.7870 (1.6324)	Prec@1 55.000 (56.173)	Prec@5 82.000 (84.491)
Epoch: [80][460/9018]	Time 0.622 (0.613)	Data 0.001 (0.005)	Loss 1.8603 (1.6333)	Prec@1 52.000 (56.140)	Prec@5 79.000 (84.483)
Epoch: [80][470/9018]	Time 0.601 (0.613)	Data 0.001 (0.005)	Loss 1.7152 (1.6332)	Prec@1 54.000 (56.114)	Prec@5 82.500 (84.482)
Epoch: [80][480/9018]	Time 0.597 (0.613)	Data 0.001 (0.005)	Loss 1.5881 (1.6347)	Prec@1 60.000 (56.081)	Prec@5 83.000 (84.462)
Epoch: [80][490/9018]	Time 0.603 (0.613)	Data 0.001 (0.005)	Loss 1.4990 (1.6355)	Prec@1 57.500 (56.077)	Prec@5 88.500 (84.455)
Epoch: [80][500/9018]	Time 0.603 (0.613)	Data 0.001 (0.005)	Loss 1.6786 (1.6363)	Prec@1 52.500 (56.063)	Prec@5 87.000 (84.454)
Epoch: [80][510/9018]	Time 0.611 (0.612)	Data 0.001 (0.005)	Loss 1.5907 (1.6368)	Prec@1 58.500 (56.044)	Prec@5 83.500 (84.447)
Epoch: [80][520/9018]	Time 0.596 (0.612)	Data 0.001 (0.005)	Loss 1.5154 (1.6370)	Prec@1 62.000 (56.025)	Prec@5 87.500 (84.445)
Epoch: [80][530/9018]	Time 0.715 (0.612)	Data 0.001 (0.005)	Loss 1.5704 (1.6361)	Prec@1 58.500 (56.043)	Prec@5 86.000 (84.469)
Epoch: [80][540/9018]	Time 0.616 (0.612)	Data 0.001 (0.005)	Loss 1.6252 (1.6365)	Prec@1 60.500 (56.024)	Prec@5 83.000 (84.458)
Epoch: [80][550/9018]	Time 0.601 (0.612)	Data 0.001 (0.004)	Loss 1.5168 (1.6374)	Prec@1 58.500 (56.032)	Prec@5 85.500 (84.430)
Epoch: [80][560/9018]	Time 0.600 (0.612)	Data 0.001 (0.004)	Loss 1.6429 (1.6373)	Prec@1 52.500 (56.007)	Prec@5 84.500 (84.422)
Epoch: [80][570/9018]	Time 0.597 (0.612)	Data 0.001 (0.004)	Loss 1.7999 (1.6373)	Prec@1 56.500 (56.014)	Prec@5 82.500 (84.423)
Epoch: [80][580/9018]	Time 0.685 (0.612)	Data 0.001 (0.004)	Loss 1.6778 (1.6362)	Prec@1 58.000 (56.039)	Prec@5 84.000 (84.442)
Epoch: [80][590/9018]	Time 0.595 (0.612)	Data 0.001 (0.004)	Loss 1.6147 (1.6372)	Prec@1 59.500 (56.051)	Prec@5 86.500 (84.434)
Epoch: [80][600/9018]	Time 0.604 (0.612)	Data 0.001 (0.004)	Loss 1.7752 (1.6382)	Prec@1 50.500 (56.015)	Prec@5 83.000 (84.414)
Epoch: [80][610/9018]	Time 0.606 (0.612)	Data 0.001 (0.004)	Loss 1.8950 (1.6395)	Prec@1 48.500 (55.958)	Prec@5 84.000 (84.416)
Epoch: [80][620/9018]	Time 0.610 (0.612)	Data 0.001 (0.004)	Loss 1.4376 (1.6387)	Prec@1 59.000 (55.973)	Prec@5 86.500 (84.421)
Epoch: [80][630/9018]	Time 0.601 (0.612)	Data 0.001 (0.004)	Loss 1.5687 (1.6382)	Prec@1 58.500 (55.997)	Prec@5 85.000 (84.435)
Epoch: [80][640/9018]	Time 0.596 (0.611)	Data 0.001 (0.004)	Loss 1.6154 (1.6386)	Prec@1 56.000 (55.957)	Prec@5 85.500 (84.446)
Epoch: [80][650/9018]	Time 0.600 (0.611)	Data 0.001 (0.004)	Loss 1.6178 (1.6401)	Prec@1 55.500 (55.912)	Prec@5 80.500 (84.415)
Epoch: [80][660/9018]	Time 0.609 (0.611)	Data 0.001 (0.004)	Loss 1.5814 (1.6399)	Prec@1 59.000 (55.933)	Prec@5 85.500 (84.415)
Epoch: [80][670/9018]	Time 0.596 (0.611)	Data 0.001 (0.004)	Loss 1.6835 (1.6402)	Prec@1 54.000 (55.905)	Prec@5 86.000 (84.407)
Epoch: [80][680/9018]	Time 0.600 (0.611)	Data 0.001 (0.004)	Loss 1.8800 (1.6411)	Prec@1 52.000 (55.890)	Prec@5 79.000 (84.395)
Epoch: [80][690/9018]	Time 0.596 (0.611)	Data 0.001 (0.004)	Loss 1.6793 (1.6414)	Prec@1 56.500 (55.894)	Prec@5 82.000 (84.374)
Epoch: [80][700/9018]	Time 0.603 (0.611)	Data 0.001 (0.004)	Loss 1.4366 (1.6412)	Prec@1 58.000 (55.907)	Prec@5 88.500 (84.374)
Epoch: [80][710/9018]	Time 0.599 (0.611)	Data 0.001 (0.004)	Loss 1.5743 (1.6418)	Prec@1 54.500 (55.886)	Prec@5 86.000 (84.359)
Epoch: [80][720/9018]	Time 0.606 (0.611)	Data 0.001 (0.004)	Loss 1.7002 (1.6425)	Prec@1 57.000 (55.868)	Prec@5 81.500 (84.344)
Epoch: [80][730/9018]	Time 0.609 (0.611)	Data 0.001 (0.004)	Loss 1.8094 (1.6429)	Prec@1 53.000 (55.864)	Prec@5 79.000 (84.337)
Epoch: [80][740/9018]	Time 0.604 (0.611)	Data 0.001 (0.004)	Loss 1.5461 (1.6427)	Prec@1 58.500 (55.869)	Prec@5 83.500 (84.331)
Epoch: [80][750/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 1.6918 (1.6433)	Prec@1 57.500 (55.863)	Prec@5 85.500 (84.318)
Epoch: [80][760/9018]	Time 0.600 (0.611)	Data 0.001 (0.003)	Loss 1.7249 (1.6430)	Prec@1 53.500 (55.862)	Prec@5 80.000 (84.311)
Epoch: [80][770/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 1.6568 (1.6427)	Prec@1 56.000 (55.865)	Prec@5 85.000 (84.316)
Epoch: [80][780/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 1.6839 (1.6426)	Prec@1 54.000 (55.866)	Prec@5 85.000 (84.310)
Epoch: [80][790/9018]	Time 0.601 (0.611)	Data 0.001 (0.003)	Loss 1.4628 (1.6420)	Prec@1 61.500 (55.876)	Prec@5 87.500 (84.336)
Epoch: [80][800/9018]	Time 0.599 (0.611)	Data 0.001 (0.003)	Loss 1.5247 (1.6406)	Prec@1 61.000 (55.909)	Prec@5 84.000 (84.370)
Epoch: [80][810/9018]	Time 0.608 (0.611)	Data 0.001 (0.003)	Loss 1.7733 (1.6402)	Prec@1 57.500 (55.928)	Prec@5 83.000 (84.374)
Epoch: [80][820/9018]	Time 0.608 (0.611)	Data 0.001 (0.003)	Loss 1.5212 (1.6403)	Prec@1 58.000 (55.913)	Prec@5 88.500 (84.379)
Epoch: [80][830/9018]	Time 0.598 (0.611)	Data 0.001 (0.003)	Loss 1.6976 (1.6407)	Prec@1 56.000 (55.909)	Prec@5 81.500 (84.368)
Epoch: [80][840/9018]	Time 0.619 (0.611)	Data 0.001 (0.003)	Loss 1.5926 (1.6401)	Prec@1 58.000 (55.929)	Prec@5 84.500 (84.382)
Epoch: [80][850/9018]	Time 0.592 (0.611)	Data 0.001 (0.003)	Loss 1.8371 (1.6398)	Prec@1 50.500 (55.937)	Prec@5 83.000 (84.399)
Epoch: [80][860/9018]	Time 0.715 (0.611)	Data 0.001 (0.003)	Loss 1.7784 (1.6392)	Prec@1 52.500 (55.947)	Prec@5 83.500 (84.408)
Epoch: [80][870/9018]	Time 0.591 (0.611)	Data 0.001 (0.003)	Loss 1.6601 (1.6396)	Prec@1 56.000 (55.936)	Prec@5 83.000 (84.404)
Epoch: [80][880/9018]	Time 0.610 (0.611)	Data 0.001 (0.003)	Loss 1.6600 (1.6399)	Prec@1 57.500 (55.935)	Prec@5 84.500 (84.397)
Epoch: [80][890/9018]	Time 0.604 (0.611)	Data 0.001 (0.003)	Loss 1.6206 (1.6398)	Prec@1 60.000 (55.930)	Prec@5 85.000 (84.393)
Epoch: [80][900/9018]	Time 0.592 (0.611)	Data 0.001 (0.003)	Loss 1.6715 (1.6392)	Prec@1 57.500 (55.940)	Prec@5 82.500 (84.398)
Epoch: [80][910/9018]	Time 0.689 (0.611)	Data 0.001 (0.003)	Loss 1.4204 (1.6392)	Prec@1 63.500 (55.941)	Prec@5 87.500 (84.392)
Epoch: [80][920/9018]	Time 0.601 (0.610)	Data 0.001 (0.003)	Loss 1.6102 (1.6395)	Prec@1 58.000 (55.929)	Prec@5 84.000 (84.387)
Epoch: [80][930/9018]	Time 0.596 (0.611)	Data 0.001 (0.003)	Loss 1.7327 (1.6396)	Prec@1 56.000 (55.927)	Prec@5 83.500 (84.388)
Epoch: [80][940/9018]	Time 0.610 (0.611)	Data 0.001 (0.003)	Loss 1.6422 (1.6397)	Prec@1 57.500 (55.925)	Prec@5 84.000 (84.391)
Epoch: [80][950/9018]	Time 0.606 (0.610)	Data 0.001 (0.003)	Loss 1.7639 (1.6400)	Prec@1 53.000 (55.912)	Prec@5 81.000 (84.388)
Epoch: [80][960/9018]	Time 0.598 (0.610)	Data 0.001 (0.003)	Loss 1.6452 (1.6395)	Prec@1 54.000 (55.919)	Prec@5 82.500 (84.388)
Epoch: [80][970/9018]	Time 0.598 (0.610)	Data 0.001 (0.003)	Loss 1.5323 (1.6388)	Prec@1 54.000 (55.929)	Prec@5 87.000 (84.399)
Epoch: [80][980/9018]	Time 0.603 (0.610)	Data 0.001 (0.003)	Loss 1.6105 (1.6394)	Prec@1 58.500 (55.912)	Prec@5 84.000 (84.394)
Epoch: [80][990/9018]	Time 0.628 (0.610)	Data 0.001 (0.003)	Loss 1.6572 (1.6393)	Prec@1 56.500 (55.914)	Prec@5 81.000 (84.397)
Epoch: [80][1000/9018]	Time 0.594 (0.610)	Data 0.001 (0.003)	Loss 1.7926 (1.6390)	Prec@1 55.500 (55.930)	Prec@5 80.500 (84.398)
Epoch: [80][1010/9018]	Time 0.604 (0.610)	Data 0.001 (0.003)	Loss 1.5021 (1.6386)	Prec@1 58.500 (55.935)	Prec@5 87.000 (84.409)
Epoch: [80][1020/9018]	Time 0.596 (0.610)	Data 0.001 (0.003)	Loss 1.5855 (1.6384)	Prec@1 54.500 (55.930)	Prec@5 86.000 (84.416)
Epoch: [80][1030/9018]	Time 0.597 (0.610)	Data 0.001 (0.003)	Loss 1.6823 (1.6388)	Prec@1 53.000 (55.918)	Prec@5 83.500 (84.407)
Epoch: [80][1040/9018]	Time 0.629 (0.610)	Data 0.001 (0.003)	Loss 1.7537 (1.6389)	Prec@1 51.500 (55.912)	Prec@5 83.500 (84.403)
Epoch: [80][1050/9018]	Time 0.615 (0.610)	Data 0.001 (0.003)	Loss 1.5939 (1.6386)	Prec@1 55.500 (55.919)	Prec@5 86.000 (84.412)
Epoch: [80][1060/9018]	Time 0.590 (0.610)	Data 0.001 (0.003)	Loss 1.6165 (1.6385)	Prec@1 62.500 (55.937)	Prec@5 84.500 (84.420)
Epoch: [80][1070/9018]	Time 0.599 (0.610)	Data 0.001 (0.003)	Loss 1.5484 (1.6383)	Prec@1 55.500 (55.944)	Prec@5 89.000 (84.425)
Epoch: [80][1080/9018]	Time 0.599 (0.610)	Data 0.001 (0.003)	Loss 1.5843 (1.6380)	Prec@1 58.500 (55.942)	Prec@5 85.000 (84.427)
Epoch: [80][1090/9018]	Time 0.606 (0.610)	Data 0.001 (0.003)	Loss 1.5701 (1.6377)	Prec@1 57.000 (55.936)	Prec@5 85.500 (84.434)
Epoch: [80][1100/9018]	Time 0.596 (0.610)	Data 0.001 (0.003)	Loss 1.4514 (1.6378)	Prec@1 61.500 (55.937)	Prec@5 86.500 (84.434)
Epoch: [80][1110/9018]	Time 0.593 (0.610)	Data 0.001 (0.003)	Loss 1.6427 (1.6372)	Prec@1 53.000 (55.952)	Prec@5 84.500 (84.434)
Epoch: [80][1120/9018]	Time 0.600 (0.610)	Data 0.001 (0.003)	Loss 1.8648 (1.6379)	Prec@1 49.000 (55.928)	Prec@5 82.000 (84.427)
Epoch: [80][1130/9018]	Time 0.602 (0.610)	Data 0.001 (0.003)	Loss 1.6909 (1.6381)	Prec@1 55.000 (55.912)	Prec@5 83.000 (84.426)
Epoch: [80][1140/9018]	Time 0.591 (0.610)	Data 0.001 (0.003)	Loss 1.8313 (1.6380)	Prec@1 47.500 (55.905)	Prec@5 82.500 (84.433)
Epoch: [80][1150/9018]	Time 0.605 (0.610)	Data 0.001 (0.003)	Loss 1.6637 (1.6380)	Prec@1 52.000 (55.901)	Prec@5 86.500 (84.432)
Epoch: [80][1160/9018]	Time 0.615 (0.610)	Data 0.001 (0.003)	Loss 1.7880 (1.6381)	Prec@1 50.500 (55.894)	Prec@5 80.500 (84.432)
Epoch: [80][1170/9018]	Time 0.604 (0.610)	Data 0.001 (0.002)	Loss 1.5583 (1.6383)	Prec@1 57.000 (55.889)	Prec@5 85.000 (84.433)
Epoch: [80][1180/9018]	Time 0.616 (0.610)	Data 0.001 (0.002)	Loss 1.7814 (1.6380)	Prec@1 52.500 (55.897)	Prec@5 83.500 (84.439)
Epoch: [80][1190/9018]	Time 0.710 (0.610)	Data 0.001 (0.002)	Loss 1.5312 (1.6380)	Prec@1 58.500 (55.902)	Prec@5 86.500 (84.439)
Epoch: [80][1200/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 1.7630 (1.6384)	Prec@1 54.500 (55.892)	Prec@5 80.500 (84.432)
Epoch: [80][1210/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 1.5530 (1.6389)	Prec@1 54.500 (55.888)	Prec@5 86.000 (84.427)
Epoch: [80][1220/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.3436 (1.6389)	Prec@1 61.000 (55.888)	Prec@5 90.500 (84.432)
Epoch: [80][1230/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 1.5305 (1.6384)	Prec@1 60.500 (55.905)	Prec@5 84.500 (84.433)
Epoch: [80][1240/9018]	Time 0.681 (0.610)	Data 0.001 (0.002)	Loss 1.6279 (1.6388)	Prec@1 54.000 (55.891)	Prec@5 85.000 (84.427)
Epoch: [80][1250/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.8392 (1.6395)	Prec@1 50.000 (55.878)	Prec@5 81.500 (84.414)
Epoch: [80][1260/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.6942 (1.6396)	Prec@1 52.500 (55.874)	Prec@5 81.500 (84.413)
Epoch: [80][1270/9018]	Time 0.612 (0.610)	Data 0.001 (0.002)	Loss 1.6035 (1.6397)	Prec@1 57.000 (55.870)	Prec@5 86.000 (84.415)
Epoch: [80][1280/9018]	Time 0.611 (0.610)	Data 0.001 (0.002)	Loss 1.7166 (1.6400)	Prec@1 56.500 (55.864)	Prec@5 82.000 (84.409)
Epoch: [80][1290/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 1.7845 (1.6402)	Prec@1 54.500 (55.863)	Prec@5 79.000 (84.404)
Epoch: [80][1300/9018]	Time 0.593 (0.610)	Data 0.001 (0.002)	Loss 1.7342 (1.6404)	Prec@1 53.000 (55.857)	Prec@5 81.000 (84.407)
Epoch: [80][1310/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 1.7118 (1.6404)	Prec@1 57.500 (55.849)	Prec@5 83.000 (84.415)
Epoch: [80][1320/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 1.5992 (1.6404)	Prec@1 56.500 (55.849)	Prec@5 85.500 (84.415)
Epoch: [80][1330/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.5314 (1.6402)	Prec@1 63.000 (55.855)	Prec@5 82.500 (84.415)
Epoch: [80][1340/9018]	Time 0.623 (0.610)	Data 0.001 (0.002)	Loss 1.7419 (1.6407)	Prec@1 51.500 (55.845)	Prec@5 83.000 (84.409)
Epoch: [80][1350/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.6762 (1.6409)	Prec@1 49.500 (55.835)	Prec@5 85.000 (84.406)
Epoch: [80][1360/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.5992 (1.6405)	Prec@1 59.500 (55.844)	Prec@5 84.500 (84.413)
Epoch: [80][1370/9018]	Time 0.594 (0.610)	Data 0.001 (0.002)	Loss 1.5344 (1.6407)	Prec@1 57.000 (55.850)	Prec@5 86.500 (84.412)
Epoch: [80][1380/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 1.5291 (1.6408)	Prec@1 59.000 (55.850)	Prec@5 86.500 (84.411)
Epoch: [80][1390/9018]	Time 0.604 (0.610)	Data 0.001 (0.002)	Loss 1.7905 (1.6406)	Prec@1 55.000 (55.850)	Prec@5 80.500 (84.414)
Epoch: [80][1400/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.6265 (1.6410)	Prec@1 57.500 (55.846)	Prec@5 84.000 (84.412)
Epoch: [80][1410/9018]	Time 0.590 (0.610)	Data 0.001 (0.002)	Loss 1.6293 (1.6410)	Prec@1 57.500 (55.852)	Prec@5 83.500 (84.405)
Epoch: [80][1420/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.7963 (1.6413)	Prec@1 53.500 (55.859)	Prec@5 81.500 (84.395)
Epoch: [80][1430/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 1.5890 (1.6413)	Prec@1 52.000 (55.858)	Prec@5 85.500 (84.389)
Epoch: [80][1440/9018]	Time 0.606 (0.610)	Data 0.001 (0.002)	Loss 1.5627 (1.6417)	Prec@1 55.500 (55.849)	Prec@5 86.500 (84.385)
Epoch: [80][1450/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.6683 (1.6415)	Prec@1 52.000 (55.854)	Prec@5 85.500 (84.388)
Epoch: [80][1460/9018]	Time 0.608 (0.610)	Data 0.001 (0.002)	Loss 1.5531 (1.6414)	Prec@1 60.500 (55.850)	Prec@5 86.000 (84.390)
Epoch: [80][1470/9018]	Time 0.609 (0.610)	Data 0.001 (0.002)	Loss 1.5717 (1.6412)	Prec@1 60.500 (55.855)	Prec@5 83.500 (84.388)
Epoch: [80][1480/9018]	Time 0.607 (0.610)	Data 0.001 (0.002)	Loss 1.6905 (1.6417)	Prec@1 53.500 (55.852)	Prec@5 85.000 (84.383)
Epoch: [80][1490/9018]	Time 0.623 (0.610)	Data 0.001 (0.002)	Loss 1.5305 (1.6410)	Prec@1 56.500 (55.862)	Prec@5 87.000 (84.395)
Epoch: [80][1500/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 1.6641 (1.6411)	Prec@1 54.500 (55.862)	Prec@5 84.000 (84.392)
Epoch: [80][1510/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 1.7459 (1.6414)	Prec@1 51.500 (55.853)	Prec@5 85.000 (84.386)
Epoch: [80][1520/9018]	Time 0.713 (0.610)	Data 0.001 (0.002)	Loss 1.7321 (1.6416)	Prec@1 52.500 (55.855)	Prec@5 85.500 (84.378)
Epoch: [80][1530/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 1.4721 (1.6418)	Prec@1 56.000 (55.849)	Prec@5 87.000 (84.376)
Epoch: [80][1540/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 1.6237 (1.6414)	Prec@1 59.000 (55.861)	Prec@5 84.500 (84.383)
Epoch: [80][1550/9018]	Time 0.604 (0.610)	Data 0.001 (0.002)	Loss 1.5570 (1.6409)	Prec@1 55.500 (55.868)	Prec@5 86.500 (84.392)
Epoch: [80][1560/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.6611 (1.6409)	Prec@1 55.000 (55.876)	Prec@5 84.000 (84.388)
Epoch: [80][1570/9018]	Time 0.710 (0.610)	Data 0.001 (0.002)	Loss 1.8227 (1.6413)	Prec@1 53.500 (55.863)	Prec@5 81.000 (84.377)
Epoch: [80][1580/9018]	Time 0.623 (0.609)	Data 0.001 (0.002)	Loss 1.4656 (1.6410)	Prec@1 59.500 (55.865)	Prec@5 88.500 (84.384)
Epoch: [80][1590/9018]	Time 0.600 (0.609)	Data 0.001 (0.002)	Loss 1.7280 (1.6409)	Prec@1 51.000 (55.860)	Prec@5 85.000 (84.388)
Epoch: [80][1600/9018]	Time 0.613 (0.610)	Data 0.001 (0.002)	Loss 1.6192 (1.6412)	Prec@1 56.000 (55.857)	Prec@5 83.000 (84.382)
Epoch: [80][1610/9018]	Time 0.610 (0.610)	Data 0.001 (0.002)	Loss 1.6814 (1.6412)	Prec@1 57.500 (55.867)	Prec@5 83.500 (84.382)
Epoch: [80][1620/9018]	Time 0.610 (0.610)	Data 0.001 (0.002)	Loss 1.6762 (1.6415)	Prec@1 59.000 (55.869)	Prec@5 81.500 (84.376)
Epoch: [80][1630/9018]	Time 0.613 (0.610)	Data 0.001 (0.002)	Loss 1.4855 (1.6411)	Prec@1 53.500 (55.873)	Prec@5 89.000 (84.388)
Epoch: [80][1640/9018]	Time 0.616 (0.610)	Data 0.001 (0.002)	Loss 1.6269 (1.6414)	Prec@1 57.500 (55.870)	Prec@5 83.500 (84.382)
Epoch: [80][1650/9018]	Time 0.615 (0.610)	Data 0.001 (0.002)	Loss 1.6286 (1.6413)	Prec@1 58.500 (55.876)	Prec@5 84.000 (84.385)
Epoch: [80][1660/9018]	Time 0.612 (0.610)	Data 0.001 (0.002)	Loss 1.5548 (1.6412)	Prec@1 60.000 (55.874)	Prec@5 86.000 (84.388)
Epoch: [80][1670/9018]	Time 0.612 (0.610)	Data 0.001 (0.002)	Loss 1.4306 (1.6413)	Prec@1 60.500 (55.867)	Prec@5 87.000 (84.387)
Epoch: [80][1680/9018]	Time 0.616 (0.610)	Data 0.001 (0.002)	Loss 1.7645 (1.6413)	Prec@1 51.000 (55.869)	Prec@5 83.000 (84.385)
Epoch: [80][1690/9018]	Time 0.612 (0.610)	Data 0.001 (0.002)	Loss 1.6943 (1.6414)	Prec@1 48.500 (55.864)	Prec@5 86.000 (84.387)
Epoch: [80][1700/9018]	Time 0.611 (0.610)	Data 0.001 (0.002)	Loss 1.9270 (1.6414)	Prec@1 48.500 (55.861)	Prec@5 80.500 (84.385)
Epoch: [80][1710/9018]	Time 0.608 (0.610)	Data 0.001 (0.002)	Loss 1.9154 (1.6416)	Prec@1 50.000 (55.862)	Prec@5 78.500 (84.380)
Epoch: [80][1720/9018]	Time 0.614 (0.610)	Data 0.001 (0.002)	Loss 1.5021 (1.6420)	Prec@1 54.500 (55.859)	Prec@5 85.000 (84.371)
Epoch: [80][1730/9018]	Time 0.605 (0.610)	Data 0.001 (0.002)	Loss 1.6306 (1.6423)	Prec@1 57.500 (55.855)	Prec@5 85.000 (84.366)
Epoch: [80][1740/9018]	Time 0.606 (0.610)	Data 0.001 (0.002)	Loss 1.8078 (1.6427)	Prec@1 54.500 (55.853)	Prec@5 86.000 (84.364)
Epoch: [80][1750/9018]	Time 0.612 (0.610)	Data 0.001 (0.002)	Loss 1.6475 (1.6433)	Prec@1 52.500 (55.841)	Prec@5 86.000 (84.353)
Epoch: [80][1760/9018]	Time 0.610 (0.610)	Data 0.001 (0.002)	Loss 1.5131 (1.6432)	Prec@1 60.000 (55.845)	Prec@5 87.500 (84.359)
Epoch: [80][1770/9018]	Time 0.618 (0.611)	Data 0.001 (0.002)	Loss 1.5767 (1.6429)	Prec@1 56.000 (55.848)	Prec@5 87.000 (84.361)
Epoch: [80][1780/9018]	Time 0.614 (0.611)	Data 0.001 (0.002)	Loss 1.6114 (1.6432)	Prec@1 55.500 (55.845)	Prec@5 86.500 (84.360)
Epoch: [80][1790/9018]	Time 0.627 (0.611)	Data 0.001 (0.002)	Loss 1.8784 (1.6433)	Prec@1 54.000 (55.837)	Prec@5 76.500 (84.358)
Epoch: [80][1800/9018]	Time 0.616 (0.611)	Data 0.001 (0.002)	Loss 1.5065 (1.6433)	Prec@1 59.500 (55.837)	Prec@5 86.000 (84.352)
Epoch: [80][1810/9018]	Time 0.623 (0.611)	Data 0.001 (0.002)	Loss 1.7768 (1.6434)	Prec@1 52.000 (55.833)	Prec@5 82.000 (84.349)
Epoch: [80][1820/9018]	Time 0.634 (0.611)	Data 0.001 (0.002)	Loss 1.7643 (1.6433)	Prec@1 48.500 (55.837)	Prec@5 84.500 (84.345)
Epoch: [80][1830/9018]	Time 0.616 (0.611)	Data 0.001 (0.002)	Loss 1.5795 (1.6434)	Prec@1 60.500 (55.833)	Prec@5 85.000 (84.345)
Epoch: [80][1840/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 1.5200 (1.6432)	Prec@1 60.000 (55.836)	Prec@5 84.500 (84.345)
Epoch: [80][1850/9018]	Time 0.716 (0.611)	Data 0.001 (0.002)	Loss 1.4946 (1.6431)	Prec@1 63.000 (55.843)	Prec@5 86.000 (84.342)
Epoch: [80][1860/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 1.6510 (1.6433)	Prec@1 55.500 (55.830)	Prec@5 85.000 (84.340)
Epoch: [80][1870/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 1.4520 (1.6435)	Prec@1 57.000 (55.826)	Prec@5 88.000 (84.334)
Epoch: [80][1880/9018]	Time 0.620 (0.611)	Data 0.001 (0.002)	Loss 1.5116 (1.6436)	Prec@1 56.000 (55.830)	Prec@5 89.000 (84.331)
Epoch: [80][1890/9018]	Time 0.612 (0.611)	Data 0.001 (0.002)	Loss 1.6825 (1.6434)	Prec@1 53.000 (55.837)	Prec@5 81.500 (84.335)
Epoch: [80][1900/9018]	Time 0.698 (0.611)	Data 0.001 (0.002)	Loss 1.7987 (1.6437)	Prec@1 49.000 (55.829)	Prec@5 82.000 (84.331)
Epoch: [80][1910/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 1.5911 (1.6435)	Prec@1 54.500 (55.834)	Prec@5 85.500 (84.337)
Epoch: [80][1920/9018]	Time 0.612 (0.611)	Data 0.001 (0.002)	Loss 1.6848 (1.6435)	Prec@1 55.500 (55.837)	Prec@5 82.000 (84.338)
Epoch: [80][1930/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 1.7104 (1.6435)	Prec@1 57.500 (55.838)	Prec@5 82.500 (84.341)
Epoch: [80][1940/9018]	Time 0.612 (0.611)	Data 0.001 (0.002)	Loss 1.6842 (1.6434)	Prec@1 55.000 (55.843)	Prec@5 85.000 (84.344)
Epoch: [80][1950/9018]	Time 0.612 (0.611)	Data 0.001 (0.002)	Loss 1.6458 (1.6433)	Prec@1 58.500 (55.846)	Prec@5 80.500 (84.343)
Epoch: [80][1960/9018]	Time 0.610 (0.611)	Data 0.001 (0.002)	Loss 1.6609 (1.6433)	Prec@1 53.000 (55.842)	Prec@5 84.500 (84.344)
Epoch: [80][1970/9018]	Time 0.614 (0.611)	Data 0.001 (0.002)	Loss 1.6960 (1.6432)	Prec@1 53.500 (55.848)	Prec@5 83.500 (84.342)
Epoch: [80][1980/9018]	Time 0.619 (0.611)	Data 0.001 (0.002)	Loss 1.5048 (1.6434)	Prec@1 58.000 (55.848)	Prec@5 87.500 (84.342)
Epoch: [80][1990/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 1.8135 (1.6435)	Prec@1 51.000 (55.844)	Prec@5 81.000 (84.341)
Epoch: [80][2000/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 1.7209 (1.6437)	Prec@1 57.000 (55.843)	Prec@5 79.500 (84.333)
Epoch: [80][2010/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 1.6262 (1.6438)	Prec@1 57.000 (55.845)	Prec@5 83.500 (84.330)
Epoch: [80][2020/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 1.6567 (1.6439)	Prec@1 55.000 (55.835)	Prec@5 84.000 (84.326)
Epoch: [80][2030/9018]	Time 0.611 (0.612)	Data 0.001 (0.002)	Loss 1.6025 (1.6439)	Prec@1 56.500 (55.842)	Prec@5 84.500 (84.326)
Epoch: [80][2040/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 1.6748 (1.6444)	Prec@1 51.500 (55.827)	Prec@5 85.000 (84.320)
Epoch: [80][2050/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 1.6640 (1.6442)	Prec@1 56.500 (55.834)	Prec@5 81.000 (84.321)
Epoch: [80][2060/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 1.5344 (1.6445)	Prec@1 58.000 (55.833)	Prec@5 86.500 (84.319)
Epoch: [80][2070/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 1.6890 (1.6443)	Prec@1 55.000 (55.828)	Prec@5 83.500 (84.325)
Epoch: [80][2080/9018]	Time 0.613 (0.612)	Data 0.001 (0.002)	Loss 1.6869 (1.6443)	Prec@1 54.500 (55.829)	Prec@5 83.000 (84.321)
Epoch: [80][2090/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 1.6955 (1.6443)	Prec@1 58.000 (55.835)	Prec@5 85.500 (84.325)
Epoch: [80][2100/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 1.6357 (1.6442)	Prec@1 56.000 (55.833)	Prec@5 83.000 (84.327)
Epoch: [80][2110/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 1.5665 (1.6442)	Prec@1 61.000 (55.832)	Prec@5 82.000 (84.327)
Epoch: [80][2120/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 1.6856 (1.6441)	Prec@1 58.000 (55.835)	Prec@5 84.500 (84.326)
Epoch: [80][2130/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 1.7903 (1.6441)	Prec@1 53.500 (55.830)	Prec@5 81.500 (84.328)
Epoch: [80][2140/9018]	Time 0.607 (0.612)	Data 0.001 (0.002)	Loss 1.4750 (1.6442)	Prec@1 60.500 (55.829)	Prec@5 87.500 (84.322)
Epoch: [80][2150/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 1.7339 (1.6443)	Prec@1 50.500 (55.824)	Prec@5 86.500 (84.322)
Epoch: [80][2160/9018]	Time 0.615 (0.612)	Data 0.001 (0.002)	Loss 1.7116 (1.6441)	Prec@1 56.000 (55.825)	Prec@5 83.500 (84.326)
Epoch: [80][2170/9018]	Time 0.629 (0.612)	Data 0.001 (0.002)	Loss 1.8281 (1.6439)	Prec@1 52.500 (55.831)	Prec@5 79.500 (84.325)
Epoch: [80][2180/9018]	Time 0.720 (0.612)	Data 0.001 (0.002)	Loss 1.5165 (1.6441)	Prec@1 60.500 (55.832)	Prec@5 85.000 (84.323)
Epoch: [80][2190/9018]	Time 0.615 (0.612)	Data 0.001 (0.002)	Loss 1.7233 (1.6443)	Prec@1 50.000 (55.823)	Prec@5 83.000 (84.318)
Epoch: [80][2200/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 1.6583 (1.6446)	Prec@1 61.000 (55.821)	Prec@5 84.000 (84.313)
Epoch: [80][2210/9018]	Time 0.615 (0.612)	Data 0.001 (0.002)	Loss 1.6199 (1.6447)	Prec@1 60.500 (55.824)	Prec@5 84.500 (84.311)
Epoch: [80][2220/9018]	Time 0.615 (0.612)	Data 0.001 (0.002)	Loss 1.6755 (1.6449)	Prec@1 59.500 (55.826)	Prec@5 81.500 (84.304)
Epoch: [80][2230/9018]	Time 0.700 (0.612)	Data 0.001 (0.002)	Loss 1.4468 (1.6447)	Prec@1 61.500 (55.837)	Prec@5 91.000 (84.308)
Epoch: [80][2240/9018]	Time 0.611 (0.612)	Data 0.001 (0.002)	Loss 1.7324 (1.6446)	Prec@1 49.000 (55.832)	Prec@5 81.000 (84.310)
Epoch: [80][2250/9018]	Time 0.617 (0.612)	Data 0.001 (0.002)	Loss 1.8116 (1.6446)	Prec@1 51.500 (55.837)	Prec@5 81.000 (84.304)
Epoch: [80][2260/9018]	Time 0.613 (0.612)	Data 0.001 (0.002)	Loss 1.6668 (1.6448)	Prec@1 58.500 (55.836)	Prec@5 85.000 (84.301)
Epoch: [80][2270/9018]	Time 0.614 (0.612)	Data 0.001 (0.002)	Loss 1.6157 (1.6449)	Prec@1 56.000 (55.833)	Prec@5 84.500 (84.299)
Epoch: [80][2280/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 1.8053 (1.6450)	Prec@1 55.000 (55.830)	Prec@5 79.000 (84.301)
Epoch: [80][2290/9018]	Time 0.617 (0.612)	Data 0.001 (0.002)	Loss 1.5569 (1.6449)	Prec@1 62.500 (55.837)	Prec@5 83.500 (84.302)
Epoch: [80][2300/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 1.7430 (1.6447)	Prec@1 52.500 (55.842)	Prec@5 83.000 (84.308)
Epoch: [80][2310/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 1.5854 (1.6445)	Prec@1 58.500 (55.851)	Prec@5 88.000 (84.313)
Epoch: [80][2320/9018]	Time 0.618 (0.613)	Data 0.001 (0.002)	Loss 1.5480 (1.6443)	Prec@1 63.000 (55.857)	Prec@5 84.500 (84.316)
Epoch: [80][2330/9018]	Time 0.611 (0.613)	Data 0.001 (0.002)	Loss 1.4135 (1.6444)	Prec@1 62.000 (55.854)	Prec@5 88.500 (84.312)
Epoch: [80][2340/9018]	Time 0.610 (0.613)	Data 0.001 (0.002)	Loss 1.5043 (1.6442)	Prec@1 61.000 (55.860)	Prec@5 86.000 (84.313)
Epoch: [80][2350/9018]	Time 0.608 (0.613)	Data 0.001 (0.002)	Loss 1.6686 (1.6444)	Prec@1 55.500 (55.856)	Prec@5 87.000 (84.311)
Epoch: [80][2360/9018]	Time 0.618 (0.613)	Data 0.001 (0.002)	Loss 1.5771 (1.6443)	Prec@1 56.500 (55.859)	Prec@5 85.500 (84.312)
Epoch: [80][2370/9018]	Time 0.612 (0.613)	Data 0.001 (0.002)	Loss 1.4940 (1.6442)	Prec@1 59.000 (55.860)	Prec@5 87.500 (84.311)
Epoch: [80][2380/9018]	Time 0.612 (0.613)	Data 0.001 (0.002)	Loss 1.7244 (1.6444)	Prec@1 52.000 (55.852)	Prec@5 86.500 (84.307)
Epoch: [80][2390/9018]	Time 0.611 (0.613)	Data 0.001 (0.002)	Loss 1.5264 (1.6443)	Prec@1 60.000 (55.854)	Prec@5 86.000 (84.306)
Epoch: [80][2400/9018]	Time 0.608 (0.613)	Data 0.001 (0.002)	Loss 1.7913 (1.6445)	Prec@1 48.500 (55.851)	Prec@5 87.000 (84.304)
Epoch: [80][2410/9018]	Time 0.614 (0.613)	Data 0.001 (0.002)	Loss 1.4593 (1.6442)	Prec@1 61.500 (55.860)	Prec@5 85.000 (84.309)
Epoch: [80][2420/9018]	Time 0.605 (0.613)	Data 0.001 (0.002)	Loss 1.4515 (1.6441)	Prec@1 59.500 (55.856)	Prec@5 86.500 (84.308)
Epoch: [80][2430/9018]	Time 0.612 (0.613)	Data 0.001 (0.002)	Loss 1.4896 (1.6439)	Prec@1 57.000 (55.854)	Prec@5 86.000 (84.314)
Epoch: [80][2440/9018]	Time 0.623 (0.613)	Data 0.001 (0.002)	Loss 1.7435 (1.6439)	Prec@1 53.000 (55.854)	Prec@5 81.000 (84.315)
Epoch: [80][2450/9018]	Time 0.613 (0.613)	Data 0.001 (0.002)	Loss 1.7755 (1.6440)	Prec@1 48.000 (55.847)	Prec@5 82.000 (84.316)
Epoch: [80][2460/9018]	Time 0.613 (0.613)	Data 0.001 (0.002)	Loss 1.7052 (1.6439)	Prec@1 53.000 (55.841)	Prec@5 83.000 (84.316)
Epoch: [80][2470/9018]	Time 0.610 (0.613)	Data 0.001 (0.002)	Loss 1.6751 (1.6439)	Prec@1 56.000 (55.840)	Prec@5 85.500 (84.318)
Epoch: [80][2480/9018]	Time 0.621 (0.613)	Data 0.001 (0.002)	Loss 1.5217 (1.6437)	Prec@1 59.500 (55.845)	Prec@5 86.500 (84.322)
Epoch: [80][2490/9018]	Time 0.611 (0.613)	Data 0.001 (0.002)	Loss 1.4756 (1.6436)	Prec@1 61.000 (55.847)	Prec@5 90.000 (84.329)
Epoch: [80][2500/9018]	Time 0.614 (0.613)	Data 0.001 (0.002)	Loss 1.5609 (1.6434)	Prec@1 58.000 (55.854)	Prec@5 86.500 (84.331)
Epoch: [80][2510/9018]	Time 0.695 (0.613)	Data 0.001 (0.002)	Loss 1.3390 (1.6433)	Prec@1 63.000 (55.855)	Prec@5 88.000 (84.330)
Epoch: [80][2520/9018]	Time 0.608 (0.613)	Data 0.001 (0.002)	Loss 1.8253 (1.6434)	Prec@1 49.000 (55.848)	Prec@5 83.000 (84.325)
Epoch: [80][2530/9018]	Time 0.621 (0.613)	Data 0.001 (0.002)	Loss 1.6386 (1.6434)	Prec@1 60.000 (55.851)	Prec@5 81.000 (84.323)
Epoch: [80][2540/9018]	Time 0.616 (0.613)	Data 0.001 (0.002)	Loss 1.6965 (1.6436)	Prec@1 53.000 (55.846)	Prec@5 83.000 (84.323)
Epoch: [80][2550/9018]	Time 0.607 (0.613)	Data 0.001 (0.002)	Loss 1.5791 (1.6437)	Prec@1 57.500 (55.839)	Prec@5 85.000 (84.323)
Epoch: [80][2560/9018]	Time 0.705 (0.613)	Data 0.001 (0.002)	Loss 1.7472 (1.6435)	Prec@1 51.000 (55.843)	Prec@5 84.000 (84.328)
Epoch: [80][2570/9018]	Time 0.613 (0.613)	Data 0.001 (0.002)	Loss 1.5587 (1.6433)	Prec@1 61.000 (55.847)	Prec@5 87.000 (84.331)
Epoch: [80][2580/9018]	Time 0.616 (0.613)	Data 0.001 (0.002)	Loss 1.5845 (1.6432)	Prec@1 54.000 (55.847)	Prec@5 86.500 (84.330)
Epoch: [80][2590/9018]	Time 0.615 (0.613)	Data 0.001 (0.002)	Loss 1.6735 (1.6434)	Prec@1 56.000 (55.839)	Prec@5 82.000 (84.325)
Epoch: [80][2600/9018]	Time 0.610 (0.613)	Data 0.001 (0.002)	Loss 1.7959 (1.6435)	Prec@1 49.000 (55.836)	Prec@5 82.500 (84.326)
Epoch: [80][2610/9018]	Time 0.613 (0.613)	Data 0.001 (0.002)	Loss 1.7113 (1.6435)	Prec@1 54.000 (55.834)	Prec@5 84.500 (84.327)
Epoch: [80][2620/9018]	Time 0.611 (0.613)	Data 0.001 (0.002)	Loss 1.4750 (1.6433)	Prec@1 62.000 (55.839)	Prec@5 87.500 (84.330)
Epoch: [80][2630/9018]	Time 0.606 (0.613)	Data 0.001 (0.002)	Loss 1.4750 (1.6434)	Prec@1 58.000 (55.836)	Prec@5 87.000 (84.328)
Epoch: [80][2640/9018]	Time 0.615 (0.613)	Data 0.001 (0.002)	Loss 1.8105 (1.6435)	Prec@1 49.500 (55.831)	Prec@5 85.000 (84.328)
Epoch: [80][2650/9018]	Time 0.612 (0.613)	Data 0.001 (0.002)	Loss 1.6696 (1.6436)	Prec@1 57.000 (55.831)	Prec@5 83.000 (84.324)
Epoch: [80][2660/9018]	Time 0.610 (0.613)	Data 0.001 (0.002)	Loss 1.8017 (1.6437)	Prec@1 55.500 (55.830)	Prec@5 82.500 (84.325)
Epoch: [80][2670/9018]	Time 0.613 (0.613)	Data 0.001 (0.002)	Loss 1.5979 (1.6435)	Prec@1 57.500 (55.840)	Prec@5 86.000 (84.329)
Epoch: [80][2680/9018]	Time 0.616 (0.613)	Data 0.001 (0.001)	Loss 1.7197 (1.6436)	Prec@1 56.500 (55.837)	Prec@5 81.000 (84.327)
Epoch: [80][2690/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 1.3699 (1.6435)	Prec@1 61.000 (55.830)	Prec@5 91.000 (84.334)
Epoch: [80][2700/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.5641 (1.6437)	Prec@1 54.000 (55.827)	Prec@5 85.500 (84.331)
Epoch: [80][2710/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 1.4570 (1.6436)	Prec@1 60.000 (55.827)	Prec@5 88.500 (84.331)
Epoch: [80][2720/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 1.6893 (1.6435)	Prec@1 57.000 (55.833)	Prec@5 85.000 (84.334)
Epoch: [80][2730/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 1.6480 (1.6436)	Prec@1 56.000 (55.826)	Prec@5 86.000 (84.332)
Epoch: [80][2740/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 1.7259 (1.6438)	Prec@1 54.000 (55.822)	Prec@5 83.000 (84.329)
Epoch: [80][2750/9018]	Time 0.614 (0.613)	Data 0.001 (0.001)	Loss 1.7688 (1.6439)	Prec@1 54.000 (55.816)	Prec@5 80.500 (84.324)
Epoch: [80][2760/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 1.4311 (1.6437)	Prec@1 59.500 (55.823)	Prec@5 90.000 (84.327)
Epoch: [80][2770/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.8256 (1.6441)	Prec@1 54.500 (55.817)	Prec@5 78.500 (84.320)
Epoch: [80][2780/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 1.4281 (1.6440)	Prec@1 61.500 (55.816)	Prec@5 84.000 (84.320)
Epoch: [80][2790/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.6310 (1.6441)	Prec@1 56.000 (55.813)	Prec@5 86.500 (84.322)
Epoch: [80][2800/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 1.6879 (1.6445)	Prec@1 55.500 (55.806)	Prec@5 83.500 (84.318)
Epoch: [80][2810/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 1.6232 (1.6444)	Prec@1 62.000 (55.812)	Prec@5 82.500 (84.315)
Epoch: [80][2820/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.6069 (1.6443)	Prec@1 56.500 (55.815)	Prec@5 86.000 (84.318)
Epoch: [80][2830/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.6870 (1.6444)	Prec@1 57.000 (55.813)	Prec@5 86.000 (84.321)
Epoch: [80][2840/9018]	Time 0.700 (0.614)	Data 0.001 (0.001)	Loss 1.5524 (1.6444)	Prec@1 54.500 (55.812)	Prec@5 85.500 (84.325)
Epoch: [80][2850/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.6850 (1.6443)	Prec@1 51.500 (55.814)	Prec@5 84.500 (84.326)
Epoch: [80][2860/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 1.8141 (1.6443)	Prec@1 53.000 (55.816)	Prec@5 80.000 (84.323)
Epoch: [80][2870/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 1.3485 (1.6442)	Prec@1 59.500 (55.817)	Prec@5 92.500 (84.324)
Epoch: [80][2880/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 1.5471 (1.6441)	Prec@1 56.000 (55.821)	Prec@5 83.500 (84.326)
Epoch: [80][2890/9018]	Time 0.706 (0.614)	Data 0.001 (0.001)	Loss 1.6726 (1.6443)	Prec@1 56.500 (55.821)	Prec@5 84.000 (84.323)
Epoch: [80][2900/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.5773 (1.6443)	Prec@1 60.500 (55.825)	Prec@5 85.500 (84.321)
Epoch: [80][2910/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.6217 (1.6443)	Prec@1 57.000 (55.825)	Prec@5 84.000 (84.322)
Epoch: [80][2920/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 1.6227 (1.6444)	Prec@1 55.000 (55.825)	Prec@5 84.000 (84.319)
Epoch: [80][2930/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 1.6202 (1.6445)	Prec@1 58.000 (55.823)	Prec@5 83.500 (84.316)
Epoch: [80][2940/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 1.4550 (1.6443)	Prec@1 62.500 (55.831)	Prec@5 88.000 (84.321)
Epoch: [80][2950/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.6438 (1.6443)	Prec@1 55.000 (55.831)	Prec@5 83.000 (84.318)
Epoch: [80][2960/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.7834 (1.6444)	Prec@1 54.500 (55.828)	Prec@5 81.000 (84.315)
Epoch: [80][2970/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.7018 (1.6444)	Prec@1 54.000 (55.830)	Prec@5 83.500 (84.315)
Epoch: [80][2980/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 1.6291 (1.6445)	Prec@1 55.500 (55.826)	Prec@5 85.500 (84.314)
Epoch: [80][2990/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.6665 (1.6445)	Prec@1 54.500 (55.825)	Prec@5 84.000 (84.316)
Epoch: [80][3000/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 1.8107 (1.6445)	Prec@1 51.500 (55.822)	Prec@5 79.500 (84.314)
Epoch: [80][3010/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.6884 (1.6445)	Prec@1 51.000 (55.821)	Prec@5 81.500 (84.314)
Epoch: [80][3020/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.5890 (1.6443)	Prec@1 59.000 (55.829)	Prec@5 86.500 (84.318)
Epoch: [80][3030/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.5202 (1.6444)	Prec@1 58.500 (55.821)	Prec@5 86.500 (84.318)
Epoch: [80][3040/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 1.5783 (1.6443)	Prec@1 58.000 (55.821)	Prec@5 83.500 (84.319)
Epoch: [80][3050/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 1.8663 (1.6444)	Prec@1 52.000 (55.814)	Prec@5 79.000 (84.316)
Epoch: [80][3060/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 1.6830 (1.6444)	Prec@1 55.500 (55.814)	Prec@5 82.000 (84.317)
Epoch: [80][3070/9018]	Time 0.617 (0.614)	Data 0.001 (0.001)	Loss 1.5035 (1.6444)	Prec@1 59.500 (55.814)	Prec@5 85.500 (84.318)
Epoch: [80][3080/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 1.4333 (1.6441)	Prec@1 60.000 (55.824)	Prec@5 89.000 (84.321)
Epoch: [80][3090/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.6637 (1.6442)	Prec@1 54.500 (55.821)	Prec@5 82.500 (84.323)
Epoch: [80][3100/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.6192 (1.6442)	Prec@1 60.500 (55.819)	Prec@5 85.500 (84.325)
Epoch: [80][3110/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.6597 (1.6444)	Prec@1 55.500 (55.820)	Prec@5 84.000 (84.323)
Epoch: [80][3120/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.5398 (1.6444)	Prec@1 61.000 (55.819)	Prec@5 88.000 (84.322)
Epoch: [80][3130/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 1.6682 (1.6445)	Prec@1 51.000 (55.817)	Prec@5 83.000 (84.317)
Epoch: [80][3140/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.8334 (1.6446)	Prec@1 49.000 (55.817)	Prec@5 81.500 (84.314)
Epoch: [80][3150/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.7135 (1.6445)	Prec@1 56.500 (55.816)	Prec@5 83.500 (84.318)
Epoch: [80][3160/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 1.5589 (1.6445)	Prec@1 61.000 (55.820)	Prec@5 87.500 (84.320)
Epoch: [80][3170/9018]	Time 0.716 (0.614)	Data 0.001 (0.001)	Loss 1.7013 (1.6446)	Prec@1 55.000 (55.820)	Prec@5 80.000 (84.315)
Epoch: [80][3180/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 1.5880 (1.6445)	Prec@1 56.000 (55.821)	Prec@5 86.500 (84.314)
Epoch: [80][3190/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.6690 (1.6445)	Prec@1 56.500 (55.819)	Prec@5 83.500 (84.312)
Epoch: [80][3200/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 1.7713 (1.6444)	Prec@1 50.500 (55.823)	Prec@5 83.500 (84.314)
Epoch: [80][3210/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 1.7212 (1.6444)	Prec@1 53.000 (55.819)	Prec@5 84.000 (84.315)
Epoch: [80][3220/9018]	Time 0.693 (0.614)	Data 0.001 (0.001)	Loss 1.8499 (1.6445)	Prec@1 51.000 (55.820)	Prec@5 80.500 (84.314)
Epoch: [80][3230/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 1.6896 (1.6444)	Prec@1 54.000 (55.822)	Prec@5 82.000 (84.317)
Epoch: [80][3240/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.8432 (1.6444)	Prec@1 48.000 (55.823)	Prec@5 82.000 (84.317)
Epoch: [80][3250/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 1.4972 (1.6444)	Prec@1 61.000 (55.826)	Prec@5 85.500 (84.317)
Epoch: [80][3260/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.7737 (1.6445)	Prec@1 54.500 (55.826)	Prec@5 78.000 (84.315)
Epoch: [80][3270/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 1.6262 (1.6444)	Prec@1 56.500 (55.825)	Prec@5 82.500 (84.316)
Epoch: [80][3280/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.6160 (1.6444)	Prec@1 54.500 (55.825)	Prec@5 87.500 (84.316)
Epoch: [80][3290/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 1.6989 (1.6446)	Prec@1 53.500 (55.823)	Prec@5 85.500 (84.315)
Epoch: [80][3300/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 1.4930 (1.6444)	Prec@1 60.000 (55.827)	Prec@5 86.000 (84.317)
Epoch: [80][3310/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.6122 (1.6445)	Prec@1 58.500 (55.827)	Prec@5 83.000 (84.317)
Epoch: [80][3320/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 1.5543 (1.6445)	Prec@1 59.000 (55.828)	Prec@5 85.000 (84.315)
Epoch: [80][3330/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.7116 (1.6447)	Prec@1 55.500 (55.824)	Prec@5 81.500 (84.313)
Epoch: [80][3340/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 1.4097 (1.6445)	Prec@1 57.500 (55.828)	Prec@5 88.000 (84.315)
Epoch: [80][3350/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.3193 (1.6442)	Prec@1 61.500 (55.835)	Prec@5 90.500 (84.319)
Epoch: [80][3360/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.7411 (1.6443)	Prec@1 54.000 (55.833)	Prec@5 83.500 (84.315)
Epoch: [80][3370/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.7165 (1.6443)	Prec@1 54.500 (55.838)	Prec@5 82.500 (84.314)
Epoch: [80][3380/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.7818 (1.6442)	Prec@1 53.000 (55.839)	Prec@5 84.000 (84.316)
Epoch: [80][3390/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.6188 (1.6443)	Prec@1 51.500 (55.834)	Prec@5 87.000 (84.316)
Epoch: [80][3400/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.5611 (1.6441)	Prec@1 61.000 (55.843)	Prec@5 84.000 (84.318)
Epoch: [80][3410/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.8275 (1.6444)	Prec@1 54.500 (55.836)	Prec@5 82.000 (84.314)
Epoch: [80][3420/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.4094 (1.6443)	Prec@1 64.000 (55.839)	Prec@5 88.500 (84.315)
Epoch: [80][3430/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6721 (1.6443)	Prec@1 59.000 (55.839)	Prec@5 81.000 (84.317)
Epoch: [80][3440/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.6843 (1.6445)	Prec@1 54.500 (55.834)	Prec@5 88.000 (84.316)
Epoch: [80][3450/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.5054 (1.6444)	Prec@1 60.500 (55.834)	Prec@5 86.000 (84.317)
Epoch: [80][3460/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.4820 (1.6444)	Prec@1 61.000 (55.836)	Prec@5 85.500 (84.317)
Epoch: [80][3470/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.6561 (1.6443)	Prec@1 52.500 (55.839)	Prec@5 84.000 (84.319)
Epoch: [80][3480/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.6347 (1.6443)	Prec@1 56.500 (55.838)	Prec@5 80.500 (84.314)
Epoch: [80][3490/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.5648 (1.6445)	Prec@1 62.000 (55.836)	Prec@5 85.500 (84.312)
Epoch: [80][3500/9018]	Time 0.693 (0.615)	Data 0.001 (0.001)	Loss 1.7362 (1.6446)	Prec@1 49.500 (55.832)	Prec@5 82.500 (84.309)
Epoch: [80][3510/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.8464 (1.6448)	Prec@1 48.500 (55.829)	Prec@5 84.000 (84.305)
Epoch: [80][3520/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9915 (1.6449)	Prec@1 50.000 (55.829)	Prec@5 80.500 (84.305)
Epoch: [80][3530/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.5274 (1.6449)	Prec@1 59.000 (55.827)	Prec@5 87.000 (84.306)
Epoch: [80][3540/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.5016 (1.6449)	Prec@1 59.500 (55.827)	Prec@5 88.000 (84.305)
Epoch: [80][3550/9018]	Time 0.709 (0.615)	Data 0.001 (0.001)	Loss 1.5893 (1.6447)	Prec@1 56.000 (55.831)	Prec@5 88.500 (84.309)
Epoch: [80][3560/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.7552 (1.6448)	Prec@1 53.000 (55.831)	Prec@5 81.000 (84.309)
Epoch: [80][3570/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.5456 (1.6449)	Prec@1 60.000 (55.829)	Prec@5 87.000 (84.306)
Epoch: [80][3580/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.4581 (1.6449)	Prec@1 61.000 (55.830)	Prec@5 86.000 (84.305)
Epoch: [80][3590/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.8310 (1.6447)	Prec@1 52.000 (55.832)	Prec@5 81.000 (84.307)
Epoch: [80][3600/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.6119 (1.6447)	Prec@1 56.500 (55.831)	Prec@5 85.500 (84.309)
Epoch: [80][3610/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.5883 (1.6449)	Prec@1 59.000 (55.828)	Prec@5 85.500 (84.305)
Epoch: [80][3620/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.8213 (1.6451)	Prec@1 53.000 (55.827)	Prec@5 82.500 (84.304)
Epoch: [80][3630/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.6304 (1.6449)	Prec@1 56.500 (55.831)	Prec@5 85.000 (84.308)
Epoch: [80][3640/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.4590 (1.6449)	Prec@1 58.000 (55.826)	Prec@5 86.000 (84.309)
Epoch: [80][3650/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.6643 (1.6450)	Prec@1 51.000 (55.823)	Prec@5 83.500 (84.310)
Epoch: [80][3660/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.6417 (1.6450)	Prec@1 59.500 (55.824)	Prec@5 85.500 (84.311)
Epoch: [80][3670/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.4272 (1.6448)	Prec@1 63.500 (55.828)	Prec@5 88.000 (84.314)
Epoch: [80][3680/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.6185 (1.6450)	Prec@1 59.000 (55.823)	Prec@5 84.500 (84.310)
Epoch: [80][3690/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.6204 (1.6451)	Prec@1 60.500 (55.818)	Prec@5 83.500 (84.309)
Epoch: [80][3700/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.6549 (1.6452)	Prec@1 56.000 (55.817)	Prec@5 85.500 (84.311)
Epoch: [80][3710/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.4168 (1.6452)	Prec@1 64.500 (55.819)	Prec@5 86.500 (84.312)
Epoch: [80][3720/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.9014 (1.6451)	Prec@1 52.500 (55.820)	Prec@5 78.000 (84.313)
Epoch: [80][3730/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.5487 (1.6451)	Prec@1 57.000 (55.823)	Prec@5 86.500 (84.314)
Epoch: [80][3740/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.7204 (1.6450)	Prec@1 55.500 (55.824)	Prec@5 84.000 (84.316)
Epoch: [80][3750/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.5393 (1.6450)	Prec@1 59.000 (55.826)	Prec@5 85.000 (84.317)
Epoch: [80][3760/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.5328 (1.6448)	Prec@1 57.500 (55.829)	Prec@5 86.000 (84.319)
Epoch: [80][3770/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.5944 (1.6448)	Prec@1 60.000 (55.829)	Prec@5 87.000 (84.319)
Epoch: [80][3780/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.8165 (1.6447)	Prec@1 54.000 (55.833)	Prec@5 80.000 (84.320)
Epoch: [80][3790/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.7431 (1.6447)	Prec@1 50.500 (55.834)	Prec@5 84.500 (84.320)
Epoch: [80][3800/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.3988 (1.6447)	Prec@1 62.000 (55.836)	Prec@5 88.000 (84.322)
Epoch: [80][3810/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.5222 (1.6447)	Prec@1 59.000 (55.838)	Prec@5 85.500 (84.321)
Epoch: [80][3820/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.7228 (1.6447)	Prec@1 52.500 (55.835)	Prec@5 84.000 (84.320)
Epoch: [80][3830/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 1.5740 (1.6446)	Prec@1 59.000 (55.839)	Prec@5 86.000 (84.321)
Epoch: [80][3840/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.6950 (1.6447)	Prec@1 54.500 (55.835)	Prec@5 84.000 (84.321)
Epoch: [80][3850/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.4480 (1.6448)	Prec@1 59.500 (55.835)	Prec@5 87.500 (84.319)
Epoch: [80][3860/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.6248 (1.6447)	Prec@1 56.000 (55.836)	Prec@5 85.000 (84.323)
Epoch: [80][3870/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.6408 (1.6447)	Prec@1 56.500 (55.833)	Prec@5 84.500 (84.322)
Epoch: [80][3880/9018]	Time 0.701 (0.615)	Data 0.001 (0.001)	Loss 1.7823 (1.6448)	Prec@1 52.500 (55.834)	Prec@5 81.000 (84.324)
Epoch: [80][3890/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.6200 (1.6449)	Prec@1 52.000 (55.832)	Prec@5 86.500 (84.322)
Epoch: [80][3900/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.8649 (1.6450)	Prec@1 46.500 (55.832)	Prec@5 83.000 (84.322)
Epoch: [80][3910/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.6769 (1.6452)	Prec@1 57.000 (55.827)	Prec@5 85.500 (84.321)
Epoch: [80][3920/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.7153 (1.6452)	Prec@1 57.000 (55.828)	Prec@5 83.000 (84.320)
Epoch: [80][3930/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.8835 (1.6451)	Prec@1 48.500 (55.831)	Prec@5 81.500 (84.320)
Epoch: [80][3940/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.5922 (1.6453)	Prec@1 58.500 (55.826)	Prec@5 85.500 (84.318)
Epoch: [80][3950/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.6791 (1.6454)	Prec@1 52.500 (55.821)	Prec@5 81.500 (84.316)
Epoch: [80][3960/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.6281 (1.6453)	Prec@1 52.000 (55.819)	Prec@5 84.500 (84.316)
Epoch: [80][3970/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.6031 (1.6452)	Prec@1 55.500 (55.824)	Prec@5 85.500 (84.318)
Epoch: [80][3980/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.7062 (1.6452)	Prec@1 57.500 (55.822)	Prec@5 81.000 (84.318)
Epoch: [80][3990/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.5656 (1.6452)	Prec@1 53.500 (55.822)	Prec@5 85.000 (84.320)
Epoch: [80][4000/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.8506 (1.6453)	Prec@1 52.000 (55.816)	Prec@5 78.500 (84.317)
Epoch: [80][4010/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.6169 (1.6453)	Prec@1 55.500 (55.811)	Prec@5 83.500 (84.317)
Epoch: [80][4020/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.5863 (1.6454)	Prec@1 56.000 (55.810)	Prec@5 86.000 (84.314)
Epoch: [80][4030/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.6236 (1.6456)	Prec@1 59.500 (55.807)	Prec@5 85.000 (84.311)
Epoch: [80][4040/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.6083 (1.6456)	Prec@1 52.500 (55.806)	Prec@5 87.000 (84.311)
Epoch: [80][4050/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.6832 (1.6458)	Prec@1 53.500 (55.798)	Prec@5 82.000 (84.309)
Epoch: [80][4060/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.4232 (1.6458)	Prec@1 64.000 (55.800)	Prec@5 89.000 (84.309)
Epoch: [80][4070/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.6207 (1.6460)	Prec@1 56.500 (55.794)	Prec@5 87.000 (84.306)
Epoch: [80][4080/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.7883 (1.6462)	Prec@1 52.000 (55.790)	Prec@5 80.500 (84.301)
Epoch: [80][4090/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.5959 (1.6464)	Prec@1 54.000 (55.788)	Prec@5 90.500 (84.298)
Epoch: [80][4100/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.6700 (1.6463)	Prec@1 56.000 (55.787)	Prec@5 82.500 (84.299)
Epoch: [80][4110/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 2.0673 (1.6466)	Prec@1 49.000 (55.779)	Prec@5 77.500 (84.295)
Epoch: [80][4120/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.6400 (1.6467)	Prec@1 59.000 (55.778)	Prec@5 82.500 (84.295)
Epoch: [80][4130/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.6576 (1.6467)	Prec@1 51.500 (55.777)	Prec@5 85.000 (84.294)
Epoch: [80][4140/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.6225 (1.6467)	Prec@1 56.000 (55.773)	Prec@5 83.500 (84.294)
Epoch: [80][4150/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.5808 (1.6466)	Prec@1 58.000 (55.776)	Prec@5 86.500 (84.297)
Epoch: [80][4160/9018]	Time 0.711 (0.615)	Data 0.001 (0.001)	Loss 1.5209 (1.6468)	Prec@1 60.000 (55.772)	Prec@5 83.000 (84.292)
Epoch: [80][4170/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.6295 (1.6468)	Prec@1 55.000 (55.771)	Prec@5 85.000 (84.293)
Epoch: [80][4180/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.7797 (1.6469)	Prec@1 51.000 (55.768)	Prec@5 81.000 (84.293)
Epoch: [80][4190/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.6605 (1.6468)	Prec@1 59.000 (55.767)	Prec@5 83.000 (84.293)
Epoch: [80][4200/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.6409 (1.6468)	Prec@1 58.500 (55.764)	Prec@5 84.500 (84.296)
Epoch: [80][4210/9018]	Time 0.700 (0.615)	Data 0.001 (0.001)	Loss 1.6026 (1.6467)	Prec@1 54.000 (55.766)	Prec@5 84.500 (84.296)
Epoch: [80][4220/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.8934 (1.6468)	Prec@1 47.000 (55.764)	Prec@5 79.000 (84.295)
Epoch: [80][4230/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.5052 (1.6468)	Prec@1 62.000 (55.763)	Prec@5 85.500 (84.296)
Epoch: [80][4240/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.5839 (1.6468)	Prec@1 60.000 (55.765)	Prec@5 84.000 (84.295)
Epoch: [80][4250/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.5071 (1.6469)	Prec@1 60.500 (55.763)	Prec@5 85.500 (84.292)
Epoch: [80][4260/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 1.5493 (1.6467)	Prec@1 60.000 (55.766)	Prec@5 84.500 (84.295)
Epoch: [80][4270/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.8238 (1.6467)	Prec@1 49.500 (55.768)	Prec@5 82.000 (84.294)
Epoch: [80][4280/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.6250 (1.6467)	Prec@1 55.500 (55.770)	Prec@5 86.000 (84.293)
Epoch: [80][4290/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.6375 (1.6468)	Prec@1 54.500 (55.769)	Prec@5 85.500 (84.293)
Epoch: [80][4300/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.6393 (1.6467)	Prec@1 55.500 (55.772)	Prec@5 85.500 (84.296)
Epoch: [80][4310/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.7716 (1.6468)	Prec@1 51.500 (55.768)	Prec@5 84.500 (84.295)
Epoch: [80][4320/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.7036 (1.6469)	Prec@1 54.500 (55.767)	Prec@5 86.000 (84.290)
Epoch: [80][4330/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.5625 (1.6470)	Prec@1 57.000 (55.767)	Prec@5 87.000 (84.287)
Epoch: [80][4340/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.3943 (1.6471)	Prec@1 62.500 (55.764)	Prec@5 88.500 (84.286)
Epoch: [80][4350/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.7480 (1.6472)	Prec@1 56.500 (55.763)	Prec@5 80.500 (84.284)
Epoch: [80][4360/9018]	Time 0.633 (0.616)	Data 0.001 (0.001)	Loss 1.4727 (1.6471)	Prec@1 59.500 (55.766)	Prec@5 84.500 (84.286)
Epoch: [80][4370/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.7549 (1.6470)	Prec@1 47.500 (55.769)	Prec@5 84.000 (84.289)
Epoch: [80][4380/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.6241 (1.6469)	Prec@1 53.500 (55.767)	Prec@5 86.000 (84.292)
Epoch: [80][4390/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.8330 (1.6468)	Prec@1 45.500 (55.770)	Prec@5 82.500 (84.294)
Epoch: [80][4400/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.5786 (1.6469)	Prec@1 56.500 (55.766)	Prec@5 85.500 (84.293)
Epoch: [80][4410/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.5972 (1.6469)	Prec@1 56.500 (55.764)	Prec@5 87.500 (84.292)
Epoch: [80][4420/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.6212 (1.6468)	Prec@1 55.500 (55.766)	Prec@5 85.000 (84.294)
Epoch: [80][4430/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.5448 (1.6469)	Prec@1 57.000 (55.764)	Prec@5 88.000 (84.296)
Epoch: [80][4440/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.6720 (1.6469)	Prec@1 52.000 (55.762)	Prec@5 85.500 (84.300)
Epoch: [80][4450/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.7197 (1.6469)	Prec@1 55.500 (55.758)	Prec@5 85.500 (84.300)
Epoch: [80][4460/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 1.6597 (1.6470)	Prec@1 61.500 (55.758)	Prec@5 84.000 (84.299)
Epoch: [80][4470/9018]	Time 0.619 (0.616)	Data 0.001 (0.001)	Loss 1.6474 (1.6471)	Prec@1 55.500 (55.756)	Prec@5 84.000 (84.298)
Epoch: [80][4480/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.5509 (1.6472)	Prec@1 57.500 (55.755)	Prec@5 85.000 (84.298)
Epoch: [80][4490/9018]	Time 0.737 (0.616)	Data 0.001 (0.001)	Loss 1.5287 (1.6471)	Prec@1 60.000 (55.756)	Prec@5 86.500 (84.300)
Epoch: [80][4500/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.6840 (1.6472)	Prec@1 58.500 (55.758)	Prec@5 82.500 (84.299)
Epoch: [80][4510/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.7140 (1.6472)	Prec@1 56.000 (55.757)	Prec@5 85.000 (84.299)
Epoch: [80][4520/9018]	Time 0.602 (0.616)	Data 0.001 (0.001)	Loss 1.5570 (1.6471)	Prec@1 63.000 (55.758)	Prec@5 87.500 (84.299)
Epoch: [80][4530/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 1.5391 (1.6470)	Prec@1 57.500 (55.757)	Prec@5 88.000 (84.302)
Epoch: [80][4540/9018]	Time 0.720 (0.616)	Data 0.001 (0.001)	Loss 1.6506 (1.6470)	Prec@1 56.000 (55.757)	Prec@5 83.500 (84.303)
Epoch: [80][4550/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.7211 (1.6470)	Prec@1 52.500 (55.756)	Prec@5 82.000 (84.302)
Epoch: [80][4560/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.6139 (1.6471)	Prec@1 54.500 (55.756)	Prec@5 86.000 (84.302)
Epoch: [80][4570/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.4954 (1.6470)	Prec@1 57.000 (55.756)	Prec@5 85.500 (84.301)
Epoch: [80][4580/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.8945 (1.6471)	Prec@1 47.500 (55.751)	Prec@5 80.000 (84.298)
Epoch: [80][4590/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 1.7028 (1.6470)	Prec@1 54.500 (55.756)	Prec@5 80.500 (84.301)
Epoch: [80][4600/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.8085 (1.6470)	Prec@1 48.500 (55.751)	Prec@5 82.000 (84.300)
Epoch: [80][4610/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.8366 (1.6468)	Prec@1 50.500 (55.753)	Prec@5 84.500 (84.304)
Epoch: [80][4620/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.5865 (1.6468)	Prec@1 56.000 (55.753)	Prec@5 85.500 (84.305)
Epoch: [80][4630/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.8991 (1.6468)	Prec@1 52.500 (55.753)	Prec@5 79.000 (84.304)
Epoch: [80][4640/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.6608 (1.6469)	Prec@1 59.000 (55.752)	Prec@5 83.500 (84.304)
Epoch: [80][4650/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.6855 (1.6470)	Prec@1 52.000 (55.750)	Prec@5 81.500 (84.301)
Epoch: [80][4660/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.6096 (1.6471)	Prec@1 55.500 (55.748)	Prec@5 87.000 (84.300)
Epoch: [80][4670/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.6383 (1.6472)	Prec@1 52.000 (55.745)	Prec@5 87.000 (84.299)
Epoch: [80][4680/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.6004 (1.6474)	Prec@1 58.000 (55.744)	Prec@5 87.000 (84.296)
Epoch: [80][4690/9018]	Time 0.622 (0.616)	Data 0.001 (0.001)	Loss 1.5418 (1.6474)	Prec@1 57.000 (55.744)	Prec@5 88.000 (84.297)
Epoch: [80][4700/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.7147 (1.6476)	Prec@1 56.500 (55.743)	Prec@5 84.500 (84.295)
Epoch: [80][4710/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.7354 (1.6476)	Prec@1 52.000 (55.741)	Prec@5 82.500 (84.295)
Epoch: [80][4720/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.8349 (1.6478)	Prec@1 49.500 (55.735)	Prec@5 79.000 (84.292)
Epoch: [80][4730/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.7580 (1.6478)	Prec@1 50.000 (55.733)	Prec@5 83.500 (84.294)
Epoch: [80][4740/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.6386 (1.6476)	Prec@1 60.500 (55.737)	Prec@5 86.000 (84.296)
Epoch: [80][4750/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.5812 (1.6475)	Prec@1 56.500 (55.737)	Prec@5 83.500 (84.297)
Epoch: [80][4760/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.5586 (1.6474)	Prec@1 58.500 (55.744)	Prec@5 86.500 (84.299)
Epoch: [80][4770/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.6789 (1.6474)	Prec@1 60.000 (55.746)	Prec@5 82.000 (84.299)
Epoch: [80][4780/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.6422 (1.6474)	Prec@1 53.000 (55.745)	Prec@5 84.500 (84.299)
Epoch: [80][4790/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.6088 (1.6474)	Prec@1 55.500 (55.745)	Prec@5 84.500 (84.300)
Epoch: [80][4800/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.7610 (1.6475)	Prec@1 53.000 (55.746)	Prec@5 83.000 (84.299)
Epoch: [80][4810/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.5621 (1.6473)	Prec@1 61.500 (55.749)	Prec@5 83.000 (84.301)
Epoch: [80][4820/9018]	Time 0.730 (0.616)	Data 0.001 (0.001)	Loss 1.5090 (1.6472)	Prec@1 53.000 (55.750)	Prec@5 88.500 (84.304)
Epoch: [80][4830/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.6411 (1.6472)	Prec@1 51.000 (55.749)	Prec@5 85.500 (84.306)
Epoch: [80][4840/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.5052 (1.6473)	Prec@1 61.000 (55.745)	Prec@5 85.500 (84.303)
Epoch: [80][4850/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.6657 (1.6473)	Prec@1 55.000 (55.747)	Prec@5 82.000 (84.303)
Epoch: [80][4860/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.6783 (1.6473)	Prec@1 49.500 (55.747)	Prec@5 85.500 (84.302)
Epoch: [80][4870/9018]	Time 0.722 (0.616)	Data 0.001 (0.001)	Loss 1.7052 (1.6473)	Prec@1 55.500 (55.747)	Prec@5 82.500 (84.302)
Epoch: [80][4880/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.5138 (1.6473)	Prec@1 53.500 (55.744)	Prec@5 89.000 (84.305)
Epoch: [80][4890/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.8049 (1.6474)	Prec@1 54.500 (55.742)	Prec@5 85.000 (84.304)
Epoch: [80][4900/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 1.8565 (1.6475)	Prec@1 51.500 (55.742)	Prec@5 79.500 (84.300)
Epoch: [80][4910/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.7833 (1.6475)	Prec@1 56.500 (55.741)	Prec@5 82.000 (84.298)
Epoch: [80][4920/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 1.6441 (1.6476)	Prec@1 51.500 (55.742)	Prec@5 88.000 (84.298)
Epoch: [80][4930/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.5222 (1.6476)	Prec@1 60.500 (55.743)	Prec@5 85.000 (84.298)
Epoch: [80][4940/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.8333 (1.6477)	Prec@1 54.500 (55.740)	Prec@5 80.500 (84.295)
Epoch: [80][4950/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.8806 (1.6477)	Prec@1 51.000 (55.739)	Prec@5 80.000 (84.294)
Epoch: [80][4960/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.7982 (1.6477)	Prec@1 55.000 (55.738)	Prec@5 83.500 (84.294)
Epoch: [80][4970/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 1.6241 (1.6478)	Prec@1 56.000 (55.737)	Prec@5 87.000 (84.295)
Epoch: [80][4980/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.5795 (1.6477)	Prec@1 57.000 (55.738)	Prec@5 83.500 (84.295)
Epoch: [80][4990/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.9663 (1.6478)	Prec@1 45.500 (55.734)	Prec@5 81.000 (84.293)
Epoch: [80][5000/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.5943 (1.6478)	Prec@1 52.000 (55.735)	Prec@5 88.500 (84.296)
Epoch: [80][5010/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.6219 (1.6478)	Prec@1 55.500 (55.734)	Prec@5 86.500 (84.295)
Epoch: [80][5020/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.5205 (1.6477)	Prec@1 60.500 (55.735)	Prec@5 84.500 (84.295)
Epoch: [80][5030/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.8108 (1.6477)	Prec@1 49.000 (55.740)	Prec@5 81.500 (84.296)
Epoch: [80][5040/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 1.5775 (1.6477)	Prec@1 55.500 (55.738)	Prec@5 87.000 (84.297)
Epoch: [80][5050/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.5272 (1.6477)	Prec@1 57.500 (55.735)	Prec@5 88.500 (84.298)
Epoch: [80][5060/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.6248 (1.6477)	Prec@1 52.000 (55.731)	Prec@5 85.500 (84.297)
Epoch: [80][5070/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 1.6346 (1.6477)	Prec@1 58.000 (55.730)	Prec@5 83.500 (84.296)
Epoch: [80][5080/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.4493 (1.6477)	Prec@1 59.500 (55.731)	Prec@5 88.000 (84.294)
Epoch: [80][5090/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.5835 (1.6477)	Prec@1 54.500 (55.732)	Prec@5 85.500 (84.296)
Epoch: [80][5100/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.6835 (1.6476)	Prec@1 55.500 (55.733)	Prec@5 84.500 (84.297)
Epoch: [80][5110/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.4081 (1.6476)	Prec@1 60.000 (55.734)	Prec@5 90.000 (84.297)
Epoch: [80][5120/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.5361 (1.6475)	Prec@1 56.000 (55.735)	Prec@5 86.500 (84.298)
Epoch: [80][5130/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.5607 (1.6475)	Prec@1 56.000 (55.735)	Prec@5 87.500 (84.299)
Epoch: [80][5140/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.7701 (1.6476)	Prec@1 55.000 (55.733)	Prec@5 83.000 (84.298)
Epoch: [80][5150/9018]	Time 0.721 (0.616)	Data 0.001 (0.001)	Loss 1.6350 (1.6477)	Prec@1 56.000 (55.731)	Prec@5 85.000 (84.298)
Epoch: [80][5160/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 1.7144 (1.6476)	Prec@1 56.000 (55.732)	Prec@5 81.000 (84.298)
Epoch: [80][5170/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.7268 (1.6476)	Prec@1 54.000 (55.734)	Prec@5 83.500 (84.297)
Epoch: [80][5180/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.5658 (1.6476)	Prec@1 56.500 (55.733)	Prec@5 84.000 (84.297)
Epoch: [80][5190/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.7132 (1.6476)	Prec@1 53.000 (55.733)	Prec@5 85.500 (84.297)
Epoch: [80][5200/9018]	Time 0.739 (0.616)	Data 0.001 (0.001)	Loss 1.5981 (1.6477)	Prec@1 56.000 (55.729)	Prec@5 84.000 (84.294)
Epoch: [80][5210/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.7335 (1.6479)	Prec@1 50.500 (55.723)	Prec@5 85.000 (84.292)
Epoch: [80][5220/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.6450 (1.6478)	Prec@1 54.000 (55.722)	Prec@5 83.500 (84.291)
Epoch: [80][5230/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.5093 (1.6478)	Prec@1 57.000 (55.725)	Prec@5 89.000 (84.293)
Epoch: [80][5240/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.8354 (1.6479)	Prec@1 53.000 (55.722)	Prec@5 80.000 (84.289)
Epoch: [80][5250/9018]	Time 0.623 (0.616)	Data 0.001 (0.001)	Loss 1.7062 (1.6478)	Prec@1 52.500 (55.723)	Prec@5 85.000 (84.291)
Epoch: [80][5260/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.7308 (1.6479)	Prec@1 53.000 (55.723)	Prec@5 87.000 (84.290)
Epoch: [80][5270/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.7589 (1.6480)	Prec@1 50.000 (55.721)	Prec@5 84.000 (84.287)
Epoch: [80][5280/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.6427 (1.6480)	Prec@1 54.000 (55.720)	Prec@5 85.000 (84.288)
Epoch: [80][5290/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.6915 (1.6480)	Prec@1 56.500 (55.720)	Prec@5 82.000 (84.290)
Epoch: [80][5300/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.5624 (1.6478)	Prec@1 55.500 (55.725)	Prec@5 87.000 (84.292)
Epoch: [80][5310/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 2.0245 (1.6479)	Prec@1 49.500 (55.721)	Prec@5 76.500 (84.290)
Epoch: [80][5320/9018]	Time 0.628 (0.616)	Data 0.001 (0.001)	Loss 1.6639 (1.6479)	Prec@1 55.000 (55.719)	Prec@5 83.500 (84.289)
Epoch: [80][5330/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.6980 (1.6479)	Prec@1 57.500 (55.718)	Prec@5 82.500 (84.289)
Epoch: [80][5340/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 1.6630 (1.6480)	Prec@1 60.500 (55.718)	Prec@5 84.000 (84.288)
Epoch: [80][5350/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 1.7706 (1.6480)	Prec@1 57.500 (55.718)	Prec@5 81.000 (84.290)
Epoch: [80][5360/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.7315 (1.6480)	Prec@1 51.000 (55.717)	Prec@5 84.000 (84.290)
Epoch: [80][5370/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.6236 (1.6480)	Prec@1 55.000 (55.716)	Prec@5 86.500 (84.290)
Epoch: [80][5380/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.6416 (1.6482)	Prec@1 55.500 (55.711)	Prec@5 86.500 (84.286)
Epoch: [80][5390/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.6551 (1.6483)	Prec@1 57.000 (55.709)	Prec@5 84.500 (84.286)
Epoch: [80][5400/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.8970 (1.6484)	Prec@1 50.500 (55.708)	Prec@5 78.000 (84.286)
Epoch: [80][5410/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.6628 (1.6484)	Prec@1 50.500 (55.706)	Prec@5 85.000 (84.287)
Epoch: [80][5420/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.9356 (1.6483)	Prec@1 52.500 (55.708)	Prec@5 78.000 (84.286)
Epoch: [80][5430/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.5663 (1.6483)	Prec@1 59.000 (55.709)	Prec@5 87.000 (84.285)
Epoch: [80][5440/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.8412 (1.6484)	Prec@1 52.000 (55.708)	Prec@5 77.500 (84.285)
Epoch: [80][5450/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.6715 (1.6483)	Prec@1 59.000 (55.708)	Prec@5 82.500 (84.285)
Epoch: [80][5460/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.6552 (1.6483)	Prec@1 55.000 (55.709)	Prec@5 84.000 (84.285)
Epoch: [80][5470/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.7329 (1.6485)	Prec@1 55.000 (55.705)	Prec@5 82.500 (84.281)
Epoch: [80][5480/9018]	Time 0.698 (0.616)	Data 0.001 (0.001)	Loss 1.3871 (1.6486)	Prec@1 61.000 (55.707)	Prec@5 89.000 (84.279)
Epoch: [80][5490/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.6013 (1.6487)	Prec@1 57.000 (55.704)	Prec@5 85.000 (84.277)
Epoch: [80][5500/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.7444 (1.6488)	Prec@1 51.500 (55.701)	Prec@5 84.500 (84.275)
Epoch: [80][5510/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.6377 (1.6488)	Prec@1 54.500 (55.699)	Prec@5 85.500 (84.275)
Epoch: [80][5520/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.8074 (1.6488)	Prec@1 50.000 (55.698)	Prec@5 80.500 (84.276)
Epoch: [80][5530/9018]	Time 0.683 (0.616)	Data 0.001 (0.001)	Loss 1.7959 (1.6488)	Prec@1 52.500 (55.697)	Prec@5 82.500 (84.277)
Epoch: [80][5540/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.6416 (1.6488)	Prec@1 54.000 (55.697)	Prec@5 83.000 (84.276)
Epoch: [80][5550/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.7857 (1.6488)	Prec@1 50.500 (55.696)	Prec@5 84.500 (84.276)
Epoch: [80][5560/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.8376 (1.6490)	Prec@1 50.500 (55.690)	Prec@5 79.500 (84.273)
Epoch: [80][5570/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.6468 (1.6490)	Prec@1 54.500 (55.692)	Prec@5 83.000 (84.274)
Epoch: [80][5580/9018]	Time 0.620 (0.616)	Data 0.001 (0.001)	Loss 1.4468 (1.6488)	Prec@1 60.000 (55.693)	Prec@5 86.000 (84.277)
Epoch: [80][5590/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.3610 (1.6488)	Prec@1 64.500 (55.691)	Prec@5 87.500 (84.277)
Epoch: [80][5600/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.8615 (1.6488)	Prec@1 52.000 (55.693)	Prec@5 80.500 (84.277)
Epoch: [80][5610/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.5659 (1.6489)	Prec@1 57.500 (55.691)	Prec@5 88.500 (84.277)
Epoch: [80][5620/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.7736 (1.6490)	Prec@1 49.000 (55.687)	Prec@5 82.500 (84.274)
Epoch: [80][5630/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.4357 (1.6490)	Prec@1 64.500 (55.689)	Prec@5 87.000 (84.276)
Epoch: [80][5640/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.6628 (1.6489)	Prec@1 54.500 (55.691)	Prec@5 83.000 (84.275)
Epoch: [80][5650/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.7708 (1.6489)	Prec@1 53.500 (55.691)	Prec@5 82.500 (84.276)
Epoch: [80][5660/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.6222 (1.6490)	Prec@1 58.000 (55.688)	Prec@5 87.000 (84.277)
Epoch: [80][5670/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.6818 (1.6489)	Prec@1 55.500 (55.690)	Prec@5 85.500 (84.277)
Epoch: [80][5680/9018]	Time 0.636 (0.616)	Data 0.001 (0.001)	Loss 1.7982 (1.6489)	Prec@1 52.500 (55.691)	Prec@5 80.000 (84.278)
Epoch: [80][5690/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.8370 (1.6490)	Prec@1 51.500 (55.689)	Prec@5 83.000 (84.278)
Epoch: [80][5700/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.7380 (1.6490)	Prec@1 57.000 (55.689)	Prec@5 82.500 (84.276)
Epoch: [80][5710/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.5342 (1.6491)	Prec@1 57.500 (55.688)	Prec@5 90.000 (84.276)
Epoch: [80][5720/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.8185 (1.6491)	Prec@1 52.000 (55.689)	Prec@5 79.000 (84.274)
Epoch: [80][5730/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.7310 (1.6491)	Prec@1 55.500 (55.691)	Prec@5 84.500 (84.276)
Epoch: [80][5740/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.7443 (1.6492)	Prec@1 51.000 (55.688)	Prec@5 82.000 (84.273)
Epoch: [80][5750/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.5332 (1.6492)	Prec@1 61.500 (55.689)	Prec@5 86.000 (84.274)
Epoch: [80][5760/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.5922 (1.6493)	Prec@1 56.000 (55.688)	Prec@5 85.000 (84.272)
Epoch: [80][5770/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 1.6952 (1.6493)	Prec@1 54.000 (55.689)	Prec@5 85.500 (84.269)
Epoch: [80][5780/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.7342 (1.6493)	Prec@1 54.500 (55.689)	Prec@5 81.000 (84.269)
Epoch: [80][5790/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.6017 (1.6493)	Prec@1 55.000 (55.688)	Prec@5 86.000 (84.271)
Epoch: [80][5800/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7494 (1.6494)	Prec@1 56.500 (55.687)	Prec@5 82.000 (84.270)
Epoch: [80][5810/9018]	Time 0.715 (0.617)	Data 0.001 (0.001)	Loss 1.5863 (1.6493)	Prec@1 53.500 (55.688)	Prec@5 85.500 (84.270)
Epoch: [80][5820/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.5630 (1.6493)	Prec@1 57.500 (55.686)	Prec@5 85.000 (84.270)
Epoch: [80][5830/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.7412 (1.6494)	Prec@1 50.500 (55.684)	Prec@5 80.500 (84.268)
Epoch: [80][5840/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.7360 (1.6494)	Prec@1 55.000 (55.686)	Prec@5 83.500 (84.267)
Epoch: [80][5850/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.5817 (1.6494)	Prec@1 59.000 (55.687)	Prec@5 86.000 (84.268)
Epoch: [80][5860/9018]	Time 0.694 (0.617)	Data 0.001 (0.001)	Loss 1.7515 (1.6494)	Prec@1 54.000 (55.685)	Prec@5 83.500 (84.270)
Epoch: [80][5870/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.6841 (1.6495)	Prec@1 51.000 (55.685)	Prec@5 83.000 (84.270)
Epoch: [80][5880/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6044 (1.6495)	Prec@1 55.000 (55.682)	Prec@5 85.000 (84.271)
Epoch: [80][5890/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.8634 (1.6495)	Prec@1 49.000 (55.679)	Prec@5 82.500 (84.270)
Epoch: [80][5900/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.5500 (1.6494)	Prec@1 55.500 (55.680)	Prec@5 87.000 (84.271)
Epoch: [80][5910/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.6297 (1.6494)	Prec@1 57.000 (55.681)	Prec@5 87.500 (84.272)
Epoch: [80][5920/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.7921 (1.6495)	Prec@1 55.000 (55.680)	Prec@5 82.500 (84.271)
Epoch: [80][5930/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.4930 (1.6495)	Prec@1 57.500 (55.677)	Prec@5 86.500 (84.272)
Epoch: [80][5940/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.4136 (1.6493)	Prec@1 60.500 (55.680)	Prec@5 87.500 (84.275)
Epoch: [80][5950/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.7165 (1.6493)	Prec@1 51.000 (55.682)	Prec@5 84.500 (84.275)
Epoch: [80][5960/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7308 (1.6494)	Prec@1 53.000 (55.678)	Prec@5 83.500 (84.273)
Epoch: [80][5970/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.7098 (1.6494)	Prec@1 54.000 (55.677)	Prec@5 81.500 (84.272)
Epoch: [80][5980/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.7800 (1.6494)	Prec@1 53.500 (55.678)	Prec@5 82.500 (84.273)
Epoch: [80][5990/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6412 (1.6495)	Prec@1 55.000 (55.676)	Prec@5 88.000 (84.273)
Epoch: [80][6000/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.8207 (1.6495)	Prec@1 54.000 (55.674)	Prec@5 83.000 (84.273)
Epoch: [80][6010/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.7282 (1.6496)	Prec@1 55.500 (55.674)	Prec@5 84.000 (84.273)
Epoch: [80][6020/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.6546 (1.6496)	Prec@1 53.500 (55.676)	Prec@5 85.000 (84.273)
Epoch: [80][6030/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.4892 (1.6496)	Prec@1 57.000 (55.675)	Prec@5 90.000 (84.272)
Epoch: [80][6040/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.7415 (1.6496)	Prec@1 54.000 (55.675)	Prec@5 80.000 (84.271)
Epoch: [80][6050/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.7130 (1.6497)	Prec@1 51.500 (55.673)	Prec@5 80.500 (84.269)
Epoch: [80][6060/9018]	Time 0.624 (0.617)	Data 0.001 (0.001)	Loss 1.7634 (1.6498)	Prec@1 50.500 (55.673)	Prec@5 83.500 (84.269)
Epoch: [80][6070/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.5848 (1.6498)	Prec@1 55.500 (55.673)	Prec@5 84.000 (84.269)
Epoch: [80][6080/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.8592 (1.6498)	Prec@1 49.500 (55.671)	Prec@5 81.500 (84.269)
Epoch: [80][6090/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.8720 (1.6499)	Prec@1 52.000 (55.670)	Prec@5 82.500 (84.268)
Epoch: [80][6100/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.6471 (1.6499)	Prec@1 55.500 (55.669)	Prec@5 84.500 (84.268)
Epoch: [80][6110/9018]	Time 0.621 (0.617)	Data 0.001 (0.001)	Loss 1.6770 (1.6499)	Prec@1 53.500 (55.666)	Prec@5 84.500 (84.267)
Epoch: [80][6120/9018]	Time 0.623 (0.617)	Data 0.001 (0.001)	Loss 1.7758 (1.6499)	Prec@1 53.500 (55.668)	Prec@5 80.500 (84.268)
Epoch: [80][6130/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.6362 (1.6498)	Prec@1 51.000 (55.667)	Prec@5 85.500 (84.270)
Epoch: [80][6140/9018]	Time 0.735 (0.617)	Data 0.001 (0.001)	Loss 1.7183 (1.6498)	Prec@1 54.500 (55.668)	Prec@5 83.500 (84.271)
Epoch: [80][6150/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6207 (1.6498)	Prec@1 57.500 (55.667)	Prec@5 80.500 (84.269)
Epoch: [80][6160/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.7506 (1.6498)	Prec@1 51.000 (55.665)	Prec@5 83.000 (84.270)
Epoch: [80][6170/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.6358 (1.6497)	Prec@1 52.500 (55.666)	Prec@5 84.000 (84.271)
Epoch: [80][6180/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.4317 (1.6497)	Prec@1 62.500 (55.667)	Prec@5 86.500 (84.269)
Epoch: [80][6190/9018]	Time 0.714 (0.617)	Data 0.001 (0.001)	Loss 1.7250 (1.6497)	Prec@1 51.000 (55.667)	Prec@5 84.500 (84.270)
Epoch: [80][6200/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.7335 (1.6498)	Prec@1 56.000 (55.664)	Prec@5 82.500 (84.268)
Epoch: [80][6210/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.7471 (1.6498)	Prec@1 58.500 (55.666)	Prec@5 83.000 (84.269)
Epoch: [80][6220/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6791 (1.6498)	Prec@1 55.000 (55.665)	Prec@5 85.000 (84.270)
Epoch: [80][6230/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5602 (1.6497)	Prec@1 59.000 (55.666)	Prec@5 85.500 (84.273)
Epoch: [80][6240/9018]	Time 0.632 (0.617)	Data 0.001 (0.001)	Loss 1.6837 (1.6497)	Prec@1 51.500 (55.668)	Prec@5 84.000 (84.273)
Epoch: [80][6250/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5322 (1.6497)	Prec@1 57.000 (55.667)	Prec@5 87.000 (84.273)
Epoch: [80][6260/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.6678 (1.6496)	Prec@1 55.500 (55.669)	Prec@5 84.500 (84.273)
Epoch: [80][6270/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.7583 (1.6497)	Prec@1 52.000 (55.669)	Prec@5 83.000 (84.272)
Epoch: [80][6280/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.6149 (1.6497)	Prec@1 57.500 (55.670)	Prec@5 86.500 (84.272)
Epoch: [80][6290/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.5907 (1.6496)	Prec@1 59.000 (55.671)	Prec@5 87.500 (84.274)
Epoch: [80][6300/9018]	Time 0.623 (0.617)	Data 0.001 (0.001)	Loss 1.9341 (1.6497)	Prec@1 50.500 (55.671)	Prec@5 79.500 (84.272)
Epoch: [80][6310/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.7180 (1.6497)	Prec@1 52.500 (55.668)	Prec@5 84.500 (84.272)
Epoch: [80][6320/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.6987 (1.6498)	Prec@1 54.000 (55.668)	Prec@5 87.000 (84.271)
Epoch: [80][6330/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.8165 (1.6497)	Prec@1 55.000 (55.671)	Prec@5 80.000 (84.270)
Epoch: [80][6340/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.5848 (1.6498)	Prec@1 56.000 (55.670)	Prec@5 87.000 (84.271)
Epoch: [80][6350/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.7834 (1.6498)	Prec@1 50.000 (55.669)	Prec@5 81.500 (84.271)
Epoch: [80][6360/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.6213 (1.6499)	Prec@1 55.500 (55.668)	Prec@5 82.500 (84.267)
Epoch: [80][6370/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.6073 (1.6499)	Prec@1 54.000 (55.668)	Prec@5 86.000 (84.267)
Epoch: [80][6380/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.6931 (1.6500)	Prec@1 52.000 (55.665)	Prec@5 85.500 (84.266)
Epoch: [80][6390/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.7032 (1.6500)	Prec@1 51.500 (55.664)	Prec@5 83.000 (84.265)
Epoch: [80][6400/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6530 (1.6500)	Prec@1 52.500 (55.664)	Prec@5 83.500 (84.266)
Epoch: [80][6410/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.6702 (1.6500)	Prec@1 55.000 (55.663)	Prec@5 82.500 (84.265)
Epoch: [80][6420/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5166 (1.6500)	Prec@1 57.500 (55.662)	Prec@5 88.000 (84.267)
Epoch: [80][6430/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.7343 (1.6499)	Prec@1 52.000 (55.663)	Prec@5 83.500 (84.269)
Epoch: [80][6440/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5901 (1.6499)	Prec@1 56.500 (55.663)	Prec@5 86.500 (84.270)
Epoch: [80][6450/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.8562 (1.6500)	Prec@1 52.000 (55.661)	Prec@5 81.500 (84.269)
Epoch: [80][6460/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.7429 (1.6501)	Prec@1 55.500 (55.660)	Prec@5 79.500 (84.267)
Epoch: [80][6470/9018]	Time 0.718 (0.617)	Data 0.001 (0.001)	Loss 1.7786 (1.6501)	Prec@1 58.000 (55.661)	Prec@5 84.500 (84.267)
Epoch: [80][6480/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.6150 (1.6501)	Prec@1 51.500 (55.661)	Prec@5 89.000 (84.268)
Epoch: [80][6490/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.6455 (1.6501)	Prec@1 55.000 (55.660)	Prec@5 86.500 (84.268)
Epoch: [80][6500/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7300 (1.6502)	Prec@1 52.000 (55.658)	Prec@5 86.000 (84.268)
Epoch: [80][6510/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.6228 (1.6502)	Prec@1 54.500 (55.656)	Prec@5 83.000 (84.269)
Epoch: [80][6520/9018]	Time 0.706 (0.617)	Data 0.001 (0.001)	Loss 1.5926 (1.6502)	Prec@1 57.500 (55.657)	Prec@5 86.000 (84.269)
Epoch: [80][6530/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.8971 (1.6501)	Prec@1 46.000 (55.657)	Prec@5 83.000 (84.269)
Epoch: [80][6540/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.5447 (1.6501)	Prec@1 61.500 (55.658)	Prec@5 84.000 (84.269)
Epoch: [80][6550/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.7939 (1.6501)	Prec@1 59.000 (55.659)	Prec@5 79.500 (84.269)
Epoch: [80][6560/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6532 (1.6500)	Prec@1 54.500 (55.661)	Prec@5 86.500 (84.271)
Epoch: [80][6570/9018]	Time 0.620 (0.617)	Data 0.001 (0.001)	Loss 1.5811 (1.6500)	Prec@1 56.000 (55.661)	Prec@5 86.500 (84.269)
Epoch: [80][6580/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.4705 (1.6500)	Prec@1 60.500 (55.661)	Prec@5 87.000 (84.269)
Epoch: [80][6590/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.4223 (1.6500)	Prec@1 63.000 (55.659)	Prec@5 87.500 (84.268)
Epoch: [80][6600/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.8341 (1.6500)	Prec@1 52.500 (55.660)	Prec@5 81.500 (84.269)
Epoch: [80][6610/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6426 (1.6499)	Prec@1 56.500 (55.662)	Prec@5 87.000 (84.270)
Epoch: [80][6620/9018]	Time 0.622 (0.617)	Data 0.001 (0.001)	Loss 1.5573 (1.6499)	Prec@1 56.000 (55.664)	Prec@5 85.000 (84.270)
Epoch: [80][6630/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.9477 (1.6499)	Prec@1 53.500 (55.663)	Prec@5 79.000 (84.270)
Epoch: [80][6640/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.5123 (1.6499)	Prec@1 62.500 (55.662)	Prec@5 85.500 (84.270)
Epoch: [80][6650/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.8178 (1.6500)	Prec@1 52.500 (55.661)	Prec@5 82.000 (84.270)
Epoch: [80][6660/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5568 (1.6500)	Prec@1 57.000 (55.660)	Prec@5 88.000 (84.272)
Epoch: [80][6670/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.5926 (1.6500)	Prec@1 55.500 (55.660)	Prec@5 85.500 (84.273)
Epoch: [80][6680/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.7101 (1.6500)	Prec@1 58.000 (55.661)	Prec@5 82.000 (84.272)
Epoch: [80][6690/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.6826 (1.6501)	Prec@1 53.000 (55.659)	Prec@5 83.500 (84.271)
Epoch: [80][6700/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.7817 (1.6501)	Prec@1 52.500 (55.657)	Prec@5 79.500 (84.269)
Epoch: [80][6710/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5955 (1.6501)	Prec@1 54.000 (55.657)	Prec@5 87.500 (84.270)
Epoch: [80][6720/9018]	Time 0.631 (0.617)	Data 0.001 (0.001)	Loss 1.6832 (1.6502)	Prec@1 56.000 (55.657)	Prec@5 85.000 (84.270)
Epoch: [80][6730/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.6387 (1.6502)	Prec@1 54.500 (55.655)	Prec@5 85.000 (84.268)
Epoch: [80][6740/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.7619 (1.6503)	Prec@1 54.000 (55.654)	Prec@5 82.500 (84.267)
Epoch: [80][6750/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.5852 (1.6504)	Prec@1 57.000 (55.654)	Prec@5 88.500 (84.267)
Epoch: [80][6760/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.6025 (1.6504)	Prec@1 57.500 (55.653)	Prec@5 85.000 (84.267)
Epoch: [80][6770/9018]	Time 0.621 (0.617)	Data 0.001 (0.001)	Loss 1.7764 (1.6504)	Prec@1 53.000 (55.654)	Prec@5 78.500 (84.265)
Epoch: [80][6780/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.5490 (1.6504)	Prec@1 62.000 (55.654)	Prec@5 84.000 (84.266)
Epoch: [80][6790/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.5568 (1.6505)	Prec@1 57.000 (55.652)	Prec@5 87.000 (84.264)
Epoch: [80][6800/9018]	Time 0.713 (0.617)	Data 0.001 (0.001)	Loss 1.3039 (1.6504)	Prec@1 63.500 (55.653)	Prec@5 88.500 (84.266)
Epoch: [80][6810/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.6519 (1.6503)	Prec@1 57.500 (55.655)	Prec@5 82.000 (84.266)
Epoch: [80][6820/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5900 (1.6503)	Prec@1 55.500 (55.655)	Prec@5 85.500 (84.266)
Epoch: [80][6830/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.6318 (1.6503)	Prec@1 56.500 (55.655)	Prec@5 85.500 (84.266)
Epoch: [80][6840/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.4474 (1.6503)	Prec@1 62.000 (55.656)	Prec@5 88.000 (84.267)
Epoch: [80][6850/9018]	Time 0.703 (0.617)	Data 0.001 (0.001)	Loss 1.6976 (1.6502)	Prec@1 55.000 (55.658)	Prec@5 81.000 (84.268)
Epoch: [80][6860/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.8165 (1.6504)	Prec@1 53.000 (55.657)	Prec@5 82.500 (84.267)
Epoch: [80][6870/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.5355 (1.6504)	Prec@1 59.500 (55.656)	Prec@5 87.500 (84.269)
Epoch: [80][6880/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6785 (1.6504)	Prec@1 54.000 (55.656)	Prec@5 83.500 (84.267)
Epoch: [80][6890/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.8782 (1.6505)	Prec@1 49.000 (55.655)	Prec@5 81.500 (84.267)
Epoch: [80][6900/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.6488 (1.6506)	Prec@1 57.000 (55.654)	Prec@5 84.500 (84.266)
Epoch: [80][6910/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.5934 (1.6506)	Prec@1 55.500 (55.652)	Prec@5 86.500 (84.266)
Epoch: [80][6920/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.5301 (1.6507)	Prec@1 56.000 (55.649)	Prec@5 88.500 (84.266)
Epoch: [80][6930/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.5998 (1.6506)	Prec@1 58.500 (55.650)	Prec@5 85.500 (84.267)
Epoch: [80][6940/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.7205 (1.6507)	Prec@1 55.000 (55.648)	Prec@5 83.000 (84.266)
Epoch: [80][6950/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.6072 (1.6508)	Prec@1 55.500 (55.648)	Prec@5 85.000 (84.265)
Epoch: [80][6960/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5139 (1.6508)	Prec@1 63.000 (55.648)	Prec@5 86.500 (84.265)
Epoch: [80][6970/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.6019 (1.6510)	Prec@1 59.000 (55.644)	Prec@5 83.000 (84.262)
Epoch: [80][6980/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.6932 (1.6510)	Prec@1 52.500 (55.644)	Prec@5 83.500 (84.261)
Epoch: [80][6990/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.8025 (1.6511)	Prec@1 50.000 (55.643)	Prec@5 81.000 (84.260)
Epoch: [80][7000/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7792 (1.6512)	Prec@1 52.500 (55.638)	Prec@5 82.000 (84.257)
Epoch: [80][7010/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.6266 (1.6512)	Prec@1 56.500 (55.638)	Prec@5 85.500 (84.256)
Epoch: [80][7020/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.7349 (1.6512)	Prec@1 53.500 (55.640)	Prec@5 85.500 (84.256)
Epoch: [80][7030/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.7789 (1.6512)	Prec@1 54.000 (55.640)	Prec@5 82.500 (84.257)
Epoch: [80][7040/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.6167 (1.6512)	Prec@1 54.500 (55.640)	Prec@5 87.000 (84.259)
Epoch: [80][7050/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.6107 (1.6512)	Prec@1 57.500 (55.641)	Prec@5 82.000 (84.258)
Epoch: [80][7060/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.5993 (1.6512)	Prec@1 57.500 (55.642)	Prec@5 83.500 (84.257)
Epoch: [80][7070/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.7333 (1.6513)	Prec@1 55.000 (55.643)	Prec@5 81.500 (84.256)
Epoch: [80][7080/9018]	Time 0.637 (0.617)	Data 0.001 (0.001)	Loss 1.5825 (1.6513)	Prec@1 60.000 (55.645)	Prec@5 86.000 (84.256)
Epoch: [80][7090/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6329 (1.6513)	Prec@1 55.000 (55.644)	Prec@5 85.500 (84.257)
Epoch: [80][7100/9018]	Time 0.627 (0.617)	Data 0.001 (0.001)	Loss 1.6242 (1.6513)	Prec@1 55.500 (55.644)	Prec@5 83.500 (84.256)
Epoch: [80][7110/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.7119 (1.6513)	Prec@1 53.000 (55.644)	Prec@5 82.000 (84.257)
Epoch: [80][7120/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.7876 (1.6513)	Prec@1 52.500 (55.643)	Prec@5 81.000 (84.258)
Epoch: [80][7130/9018]	Time 0.694 (0.617)	Data 0.001 (0.001)	Loss 1.7506 (1.6514)	Prec@1 50.500 (55.643)	Prec@5 85.500 (84.257)
Epoch: [80][7140/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.5922 (1.6515)	Prec@1 59.000 (55.641)	Prec@5 84.000 (84.255)
Epoch: [80][7150/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.9031 (1.6516)	Prec@1 51.000 (55.639)	Prec@5 80.000 (84.254)
Epoch: [80][7160/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.7293 (1.6516)	Prec@1 52.500 (55.639)	Prec@5 82.000 (84.254)
Epoch: [80][7170/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6808 (1.6516)	Prec@1 52.000 (55.638)	Prec@5 86.500 (84.252)
Epoch: [80][7180/9018]	Time 0.725 (0.617)	Data 0.001 (0.001)	Loss 1.7260 (1.6516)	Prec@1 52.000 (55.639)	Prec@5 84.500 (84.251)
Epoch: [80][7190/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.9704 (1.6517)	Prec@1 47.000 (55.638)	Prec@5 78.500 (84.249)
Epoch: [80][7200/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.7183 (1.6517)	Prec@1 55.000 (55.635)	Prec@5 78.500 (84.248)
Epoch: [80][7210/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.5297 (1.6517)	Prec@1 58.000 (55.637)	Prec@5 85.500 (84.250)
Epoch: [80][7220/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.6061 (1.6517)	Prec@1 54.500 (55.637)	Prec@5 84.500 (84.249)
Epoch: [80][7230/9018]	Time 0.629 (0.617)	Data 0.001 (0.001)	Loss 1.4749 (1.6517)	Prec@1 60.000 (55.636)	Prec@5 89.500 (84.251)
Epoch: [80][7240/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.6771 (1.6516)	Prec@1 55.000 (55.637)	Prec@5 86.500 (84.252)
Epoch: [80][7250/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7253 (1.6517)	Prec@1 52.000 (55.633)	Prec@5 81.500 (84.251)
Epoch: [80][7260/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5748 (1.6517)	Prec@1 55.000 (55.632)	Prec@5 87.000 (84.252)
Epoch: [80][7270/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.6037 (1.6518)	Prec@1 54.500 (55.629)	Prec@5 86.500 (84.250)
Epoch: [80][7280/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.6258 (1.6519)	Prec@1 57.500 (55.625)	Prec@5 86.000 (84.250)
Epoch: [80][7290/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.5925 (1.6519)	Prec@1 56.000 (55.626)	Prec@5 85.000 (84.251)
Epoch: [80][7300/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.7006 (1.6520)	Prec@1 53.500 (55.625)	Prec@5 85.000 (84.249)
Epoch: [80][7310/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.5874 (1.6519)	Prec@1 52.500 (55.624)	Prec@5 87.500 (84.250)
Epoch: [80][7320/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.6449 (1.6519)	Prec@1 55.000 (55.624)	Prec@5 82.000 (84.249)
Epoch: [80][7330/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.4787 (1.6518)	Prec@1 59.000 (55.624)	Prec@5 89.000 (84.250)
Epoch: [80][7340/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6110 (1.6519)	Prec@1 54.500 (55.621)	Prec@5 85.500 (84.249)
Epoch: [80][7350/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.7409 (1.6519)	Prec@1 55.000 (55.624)	Prec@5 82.000 (84.249)
Epoch: [80][7360/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.5327 (1.6519)	Prec@1 57.000 (55.622)	Prec@5 86.500 (84.249)
Epoch: [80][7370/9018]	Time 0.633 (0.617)	Data 0.001 (0.001)	Loss 1.7301 (1.6519)	Prec@1 58.500 (55.622)	Prec@5 81.000 (84.250)
Epoch: [80][7380/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5576 (1.6519)	Prec@1 55.000 (55.619)	Prec@5 87.500 (84.251)
Epoch: [80][7390/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7003 (1.6520)	Prec@1 52.500 (55.619)	Prec@5 82.000 (84.251)
Epoch: [80][7400/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.9058 (1.6520)	Prec@1 49.000 (55.618)	Prec@5 78.500 (84.249)
Epoch: [80][7410/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.6716 (1.6520)	Prec@1 55.500 (55.620)	Prec@5 83.000 (84.250)
Epoch: [80][7420/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.5866 (1.6520)	Prec@1 57.500 (55.620)	Prec@5 86.000 (84.251)
Epoch: [80][7430/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6983 (1.6521)	Prec@1 59.000 (55.619)	Prec@5 86.000 (84.250)
Epoch: [80][7440/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.5113 (1.6521)	Prec@1 57.000 (55.618)	Prec@5 86.500 (84.251)
Epoch: [80][7450/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.6960 (1.6521)	Prec@1 54.000 (55.616)	Prec@5 85.000 (84.252)
Epoch: [80][7460/9018]	Time 0.724 (0.617)	Data 0.001 (0.001)	Loss 1.4889 (1.6521)	Prec@1 60.500 (55.614)	Prec@5 86.500 (84.251)
Epoch: [80][7470/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.5340 (1.6521)	Prec@1 58.000 (55.615)	Prec@5 86.500 (84.252)
Epoch: [80][7480/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.6671 (1.6521)	Prec@1 60.500 (55.617)	Prec@5 86.000 (84.251)
Epoch: [80][7490/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.4155 (1.6521)	Prec@1 59.000 (55.618)	Prec@5 89.000 (84.251)
Epoch: [80][7500/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.7422 (1.6522)	Prec@1 50.500 (55.616)	Prec@5 82.000 (84.249)
Epoch: [80][7510/9018]	Time 0.734 (0.617)	Data 0.001 (0.001)	Loss 1.8860 (1.6522)	Prec@1 52.000 (55.614)	Prec@5 82.500 (84.246)
Epoch: [80][7520/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.7245 (1.6522)	Prec@1 54.500 (55.615)	Prec@5 82.000 (84.247)
Epoch: [80][7530/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5329 (1.6522)	Prec@1 56.000 (55.614)	Prec@5 87.500 (84.248)
Epoch: [80][7540/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6582 (1.6522)	Prec@1 53.500 (55.614)	Prec@5 86.500 (84.248)
Epoch: [80][7550/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.6556 (1.6522)	Prec@1 56.500 (55.615)	Prec@5 83.000 (84.249)
Epoch: [80][7560/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5091 (1.6522)	Prec@1 58.500 (55.617)	Prec@5 85.500 (84.249)
Epoch: [80][7570/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.7268 (1.6521)	Prec@1 54.500 (55.618)	Prec@5 83.000 (84.251)
Epoch: [80][7580/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.4688 (1.6521)	Prec@1 60.000 (55.620)	Prec@5 86.500 (84.250)
Epoch: [80][7590/9018]	Time 0.622 (0.617)	Data 0.001 (0.001)	Loss 1.7854 (1.6522)	Prec@1 50.000 (55.618)	Prec@5 84.500 (84.251)
Epoch: [80][7600/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.7048 (1.6522)	Prec@1 59.500 (55.618)	Prec@5 81.000 (84.250)
Epoch: [80][7610/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5711 (1.6523)	Prec@1 57.500 (55.615)	Prec@5 85.000 (84.247)
Epoch: [80][7620/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.5913 (1.6524)	Prec@1 57.500 (55.614)	Prec@5 84.500 (84.247)
Epoch: [80][7630/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5841 (1.6524)	Prec@1 57.000 (55.612)	Prec@5 86.000 (84.246)
Epoch: [80][7640/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.7378 (1.6524)	Prec@1 50.500 (55.612)	Prec@5 83.500 (84.247)
Epoch: [80][7650/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.6008 (1.6524)	Prec@1 60.000 (55.613)	Prec@5 82.500 (84.247)
Epoch: [80][7660/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.7408 (1.6524)	Prec@1 54.500 (55.612)	Prec@5 82.500 (84.246)
Epoch: [80][7670/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.8074 (1.6524)	Prec@1 51.000 (55.612)	Prec@5 83.000 (84.245)
Epoch: [80][7680/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.7601 (1.6524)	Prec@1 49.000 (55.612)	Prec@5 83.000 (84.246)
Epoch: [80][7690/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.6724 (1.6523)	Prec@1 56.000 (55.610)	Prec@5 83.000 (84.247)
Epoch: [80][7700/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.8643 (1.6523)	Prec@1 51.500 (55.609)	Prec@5 80.500 (84.246)
Epoch: [80][7710/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.5403 (1.6524)	Prec@1 62.500 (55.609)	Prec@5 85.000 (84.246)
Epoch: [80][7720/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6632 (1.6524)	Prec@1 57.500 (55.610)	Prec@5 87.500 (84.246)
Epoch: [80][7730/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.4852 (1.6525)	Prec@1 54.500 (55.608)	Prec@5 87.000 (84.245)
Epoch: [80][7740/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6702 (1.6525)	Prec@1 54.000 (55.608)	Prec@5 84.000 (84.244)
Epoch: [80][7750/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.4981 (1.6525)	Prec@1 61.500 (55.608)	Prec@5 87.000 (84.244)
Epoch: [80][7760/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7670 (1.6525)	Prec@1 49.500 (55.607)	Prec@5 82.000 (84.243)
Epoch: [80][7770/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.4177 (1.6526)	Prec@1 58.000 (55.605)	Prec@5 89.500 (84.243)
Epoch: [80][7780/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.6097 (1.6526)	Prec@1 55.500 (55.603)	Prec@5 86.000 (84.242)
Epoch: [80][7790/9018]	Time 0.694 (0.617)	Data 0.001 (0.001)	Loss 1.8641 (1.6526)	Prec@1 48.500 (55.603)	Prec@5 79.000 (84.242)
Epoch: [80][7800/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.6143 (1.6526)	Prec@1 55.000 (55.603)	Prec@5 84.000 (84.242)
Epoch: [80][7810/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.5512 (1.6526)	Prec@1 59.500 (55.604)	Prec@5 85.000 (84.242)
Epoch: [80][7820/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7180 (1.6527)	Prec@1 57.000 (55.604)	Prec@5 83.000 (84.242)
Epoch: [80][7830/9018]	Time 0.620 (0.617)	Data 0.001 (0.001)	Loss 1.6544 (1.6527)	Prec@1 55.500 (55.604)	Prec@5 85.500 (84.242)
Epoch: [80][7840/9018]	Time 0.722 (0.617)	Data 0.001 (0.001)	Loss 1.6237 (1.6527)	Prec@1 58.500 (55.605)	Prec@5 83.500 (84.242)
Epoch: [80][7850/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.7065 (1.6526)	Prec@1 49.000 (55.605)	Prec@5 83.500 (84.243)
Epoch: [80][7860/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.7360 (1.6527)	Prec@1 55.000 (55.604)	Prec@5 83.500 (84.243)
Epoch: [80][7870/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.6599 (1.6527)	Prec@1 55.500 (55.603)	Prec@5 86.500 (84.243)
Epoch: [80][7880/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5254 (1.6526)	Prec@1 59.000 (55.606)	Prec@5 85.500 (84.243)
Epoch: [80][7890/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.5938 (1.6526)	Prec@1 57.500 (55.607)	Prec@5 84.000 (84.242)
Epoch: [80][7900/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.7010 (1.6526)	Prec@1 52.500 (55.606)	Prec@5 85.000 (84.242)
Epoch: [80][7910/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.5946 (1.6527)	Prec@1 57.500 (55.606)	Prec@5 85.000 (84.240)
Epoch: [80][7920/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.6381 (1.6526)	Prec@1 56.500 (55.607)	Prec@5 83.500 (84.242)
Epoch: [80][7930/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7378 (1.6525)	Prec@1 52.000 (55.609)	Prec@5 85.000 (84.245)
Epoch: [80][7940/9018]	Time 0.634 (0.617)	Data 0.001 (0.001)	Loss 1.5603 (1.6525)	Prec@1 55.000 (55.608)	Prec@5 87.500 (84.245)
Epoch: [80][7950/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.5802 (1.6526)	Prec@1 56.000 (55.607)	Prec@5 86.000 (84.244)
Epoch: [80][7960/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.9259 (1.6525)	Prec@1 52.000 (55.608)	Prec@5 81.500 (84.245)
Epoch: [80][7970/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.9297 (1.6525)	Prec@1 45.500 (55.608)	Prec@5 83.000 (84.245)
Epoch: [80][7980/9018]	Time 0.625 (0.617)	Data 0.001 (0.001)	Loss 1.6645 (1.6525)	Prec@1 58.000 (55.610)	Prec@5 83.500 (84.246)
Epoch: [80][7990/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7403 (1.6525)	Prec@1 52.500 (55.611)	Prec@5 83.500 (84.246)
Epoch: [80][8000/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.8588 (1.6525)	Prec@1 52.500 (55.610)	Prec@5 83.000 (84.245)
Epoch: [80][8010/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.5793 (1.6526)	Prec@1 56.000 (55.609)	Prec@5 85.500 (84.243)
Epoch: [80][8020/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.6793 (1.6526)	Prec@1 55.500 (55.611)	Prec@5 84.000 (84.244)
Epoch: [80][8030/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.6122 (1.6526)	Prec@1 54.500 (55.610)	Prec@5 88.500 (84.244)
Epoch: [80][8040/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.4845 (1.6527)	Prec@1 60.000 (55.609)	Prec@5 88.000 (84.243)
Epoch: [80][8050/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.8067 (1.6528)	Prec@1 55.000 (55.607)	Prec@5 78.500 (84.240)
Epoch: [80][8060/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.5662 (1.6527)	Prec@1 59.000 (55.609)	Prec@5 87.500 (84.242)
Epoch: [80][8070/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.9593 (1.6527)	Prec@1 52.000 (55.608)	Prec@5 78.000 (84.241)
Epoch: [80][8080/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.5512 (1.6526)	Prec@1 56.000 (55.609)	Prec@5 88.000 (84.242)
Epoch: [80][8090/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5154 (1.6526)	Prec@1 54.000 (55.608)	Prec@5 87.500 (84.243)
Epoch: [80][8100/9018]	Time 0.627 (0.617)	Data 0.001 (0.001)	Loss 1.7301 (1.6526)	Prec@1 49.500 (55.606)	Prec@5 85.500 (84.244)
Epoch: [80][8110/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.6507 (1.6526)	Prec@1 56.000 (55.606)	Prec@5 85.000 (84.245)
Epoch: [80][8120/9018]	Time 0.727 (0.617)	Data 0.001 (0.001)	Loss 1.7584 (1.6526)	Prec@1 55.000 (55.603)	Prec@5 83.500 (84.246)
Epoch: [80][8130/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.4258 (1.6526)	Prec@1 60.000 (55.603)	Prec@5 88.500 (84.246)
Epoch: [80][8140/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.5302 (1.6526)	Prec@1 56.500 (55.603)	Prec@5 89.500 (84.248)
Epoch: [80][8150/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.8518 (1.6525)	Prec@1 49.000 (55.602)	Prec@5 80.500 (84.248)
Epoch: [80][8160/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6755 (1.6525)	Prec@1 53.000 (55.602)	Prec@5 88.500 (84.248)
Epoch: [80][8170/9018]	Time 0.725 (0.617)	Data 0.001 (0.001)	Loss 1.3770 (1.6524)	Prec@1 61.000 (55.603)	Prec@5 87.000 (84.250)
Epoch: [80][8180/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.4975 (1.6524)	Prec@1 60.000 (55.602)	Prec@5 85.500 (84.250)
Epoch: [80][8190/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.7316 (1.6525)	Prec@1 50.500 (55.601)	Prec@5 82.000 (84.248)
Epoch: [80][8200/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5857 (1.6526)	Prec@1 58.000 (55.599)	Prec@5 86.500 (84.249)
Epoch: [80][8210/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.7298 (1.6527)	Prec@1 57.000 (55.596)	Prec@5 82.000 (84.248)
Epoch: [80][8220/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.5646 (1.6527)	Prec@1 59.000 (55.595)	Prec@5 86.500 (84.248)
Epoch: [80][8230/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.5224 (1.6527)	Prec@1 59.500 (55.597)	Prec@5 84.500 (84.249)
Epoch: [80][8240/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.8789 (1.6527)	Prec@1 49.000 (55.597)	Prec@5 80.500 (84.249)
Epoch: [80][8250/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.4883 (1.6526)	Prec@1 57.500 (55.596)	Prec@5 84.000 (84.249)
Epoch: [80][8260/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.7836 (1.6526)	Prec@1 57.000 (55.598)	Prec@5 81.000 (84.249)
Epoch: [80][8270/9018]	Time 0.622 (0.617)	Data 0.001 (0.001)	Loss 1.7110 (1.6526)	Prec@1 55.500 (55.599)	Prec@5 86.500 (84.250)
Epoch: [80][8280/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6474 (1.6526)	Prec@1 55.500 (55.600)	Prec@5 85.500 (84.251)
Epoch: [80][8290/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.8034 (1.6526)	Prec@1 58.500 (55.598)	Prec@5 82.500 (84.252)
Epoch: [80][8300/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.7247 (1.6526)	Prec@1 54.500 (55.596)	Prec@5 81.000 (84.251)
Epoch: [80][8310/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.6471 (1.6527)	Prec@1 55.500 (55.595)	Prec@5 83.000 (84.251)
Epoch: [80][8320/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7210 (1.6527)	Prec@1 53.000 (55.594)	Prec@5 81.000 (84.251)
Epoch: [80][8330/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.4613 (1.6527)	Prec@1 63.500 (55.594)	Prec@5 88.000 (84.251)
Epoch: [80][8340/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.8976 (1.6527)	Prec@1 53.000 (55.593)	Prec@5 79.000 (84.250)
Epoch: [80][8350/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.8082 (1.6528)	Prec@1 52.500 (55.592)	Prec@5 82.500 (84.249)
Epoch: [80][8360/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.6969 (1.6528)	Prec@1 53.000 (55.592)	Prec@5 80.500 (84.247)
Epoch: [80][8370/9018]	Time 0.621 (0.617)	Data 0.001 (0.001)	Loss 1.3420 (1.6528)	Prec@1 62.000 (55.591)	Prec@5 88.500 (84.248)
Epoch: [80][8380/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.4456 (1.6527)	Prec@1 58.500 (55.593)	Prec@5 86.500 (84.249)
Epoch: [80][8390/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.5532 (1.6528)	Prec@1 59.000 (55.592)	Prec@5 85.500 (84.248)
Epoch: [80][8400/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.7357 (1.6528)	Prec@1 52.500 (55.591)	Prec@5 84.500 (84.248)
Epoch: [80][8410/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.7209 (1.6528)	Prec@1 55.500 (55.594)	Prec@5 82.500 (84.248)
Epoch: [80][8420/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.5972 (1.6527)	Prec@1 56.000 (55.595)	Prec@5 85.500 (84.249)
Epoch: [80][8430/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.6946 (1.6528)	Prec@1 53.500 (55.593)	Prec@5 79.000 (84.249)
Epoch: [80][8440/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.8106 (1.6527)	Prec@1 51.000 (55.596)	Prec@5 82.500 (84.250)
Epoch: [80][8450/9018]	Time 0.734 (0.617)	Data 0.001 (0.001)	Loss 1.7617 (1.6528)	Prec@1 56.000 (55.593)	Prec@5 81.000 (84.248)
Epoch: [80][8460/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.8987 (1.6529)	Prec@1 49.000 (55.593)	Prec@5 83.000 (84.247)
Epoch: [80][8470/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.6869 (1.6530)	Prec@1 55.500 (55.591)	Prec@5 82.000 (84.246)
Epoch: [80][8480/9018]	Time 0.622 (0.618)	Data 0.001 (0.001)	Loss 1.7422 (1.6530)	Prec@1 56.000 (55.591)	Prec@5 83.500 (84.246)
Epoch: [80][8490/9018]	Time 0.616 (0.618)	Data 0.001 (0.001)	Loss 1.8015 (1.6530)	Prec@1 53.500 (55.591)	Prec@5 81.500 (84.245)
Epoch: [80][8500/9018]	Time 0.728 (0.618)	Data 0.001 (0.001)	Loss 1.7948 (1.6530)	Prec@1 53.500 (55.590)	Prec@5 84.000 (84.245)
Epoch: [80][8510/9018]	Time 0.612 (0.618)	Data 0.001 (0.001)	Loss 1.4953 (1.6529)	Prec@1 61.000 (55.592)	Prec@5 86.500 (84.247)
Epoch: [80][8520/9018]	Time 0.622 (0.618)	Data 0.001 (0.001)	Loss 1.9695 (1.6530)	Prec@1 50.000 (55.591)	Prec@5 78.000 (84.247)
Epoch: [80][8530/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.5909 (1.6530)	Prec@1 55.500 (55.591)	Prec@5 88.500 (84.247)
Epoch: [80][8540/9018]	Time 0.619 (0.618)	Data 0.001 (0.001)	Loss 1.6590 (1.6530)	Prec@1 55.500 (55.590)	Prec@5 84.000 (84.247)
Epoch: [80][8550/9018]	Time 0.634 (0.618)	Data 0.001 (0.001)	Loss 1.4373 (1.6530)	Prec@1 63.000 (55.591)	Prec@5 87.000 (84.247)
Epoch: [80][8560/9018]	Time 0.608 (0.618)	Data 0.001 (0.001)	Loss 1.5847 (1.6531)	Prec@1 59.000 (55.590)	Prec@5 84.500 (84.246)
Epoch: [80][8570/9018]	Time 0.611 (0.618)	Data 0.001 (0.001)	Loss 1.6106 (1.6531)	Prec@1 57.500 (55.589)	Prec@5 85.000 (84.246)
Epoch: [80][8580/9018]	Time 0.608 (0.618)	Data 0.001 (0.001)	Loss 1.7160 (1.6531)	Prec@1 55.000 (55.588)	Prec@5 81.500 (84.245)
Epoch: [80][8590/9018]	Time 0.605 (0.618)	Data 0.001 (0.001)	Loss 1.7811 (1.6531)	Prec@1 50.500 (55.587)	Prec@5 83.000 (84.243)
Epoch: [80][8600/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.8274 (1.6531)	Prec@1 52.000 (55.586)	Prec@5 81.500 (84.243)
Epoch: [80][8610/9018]	Time 0.616 (0.618)	Data 0.001 (0.001)	Loss 1.6273 (1.6531)	Prec@1 58.500 (55.589)	Prec@5 87.000 (84.242)
Epoch: [80][8620/9018]	Time 0.609 (0.618)	Data 0.001 (0.001)	Loss 1.6438 (1.6531)	Prec@1 54.000 (55.587)	Prec@5 86.000 (84.243)
Epoch: [80][8630/9018]	Time 0.611 (0.618)	Data 0.001 (0.001)	Loss 1.5810 (1.6532)	Prec@1 57.000 (55.587)	Prec@5 87.000 (84.242)
Epoch: [80][8640/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.7809 (1.6532)	Prec@1 50.500 (55.586)	Prec@5 78.500 (84.241)
Epoch: [80][8650/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.7670 (1.6533)	Prec@1 51.500 (55.583)	Prec@5 81.500 (84.241)
Epoch: [80][8660/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.5729 (1.6533)	Prec@1 57.500 (55.583)	Prec@5 83.500 (84.241)
Epoch: [80][8670/9018]	Time 0.619 (0.618)	Data 0.001 (0.001)	Loss 1.8192 (1.6534)	Prec@1 50.500 (55.580)	Prec@5 82.000 (84.238)
Epoch: [80][8680/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.7076 (1.6534)	Prec@1 56.500 (55.581)	Prec@5 80.500 (84.238)
Epoch: [80][8690/9018]	Time 0.608 (0.618)	Data 0.001 (0.001)	Loss 1.7215 (1.6534)	Prec@1 55.000 (55.581)	Prec@5 86.000 (84.239)
Epoch: [80][8700/9018]	Time 0.615 (0.618)	Data 0.001 (0.001)	Loss 1.7030 (1.6534)	Prec@1 52.000 (55.580)	Prec@5 85.000 (84.238)
Epoch: [80][8710/9018]	Time 0.609 (0.618)	Data 0.001 (0.001)	Loss 1.7324 (1.6533)	Prec@1 47.000 (55.583)	Prec@5 84.000 (84.240)
Epoch: [80][8720/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.6627 (1.6533)	Prec@1 53.000 (55.582)	Prec@5 86.000 (84.242)
Epoch: [80][8730/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.5358 (1.6533)	Prec@1 61.500 (55.584)	Prec@5 86.500 (84.242)
Epoch: [80][8740/9018]	Time 0.612 (0.618)	Data 0.001 (0.001)	Loss 1.5158 (1.6532)	Prec@1 58.500 (55.584)	Prec@5 86.000 (84.242)
Epoch: [80][8750/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.7773 (1.6532)	Prec@1 49.000 (55.584)	Prec@5 83.500 (84.242)
Epoch: [80][8760/9018]	Time 0.608 (0.618)	Data 0.001 (0.001)	Loss 1.4523 (1.6532)	Prec@1 60.000 (55.584)	Prec@5 86.000 (84.242)
Epoch: [80][8770/9018]	Time 0.611 (0.618)	Data 0.001 (0.001)	Loss 1.6256 (1.6533)	Prec@1 54.000 (55.582)	Prec@5 86.000 (84.241)
Epoch: [80][8780/9018]	Time 0.744 (0.618)	Data 0.001 (0.001)	Loss 1.6944 (1.6534)	Prec@1 56.500 (55.581)	Prec@5 83.500 (84.240)
Epoch: [80][8790/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.4232 (1.6534)	Prec@1 62.000 (55.581)	Prec@5 88.000 (84.240)
Epoch: [80][8800/9018]	Time 0.618 (0.618)	Data 0.001 (0.001)	Loss 1.8098 (1.6535)	Prec@1 52.000 (55.579)	Prec@5 81.500 (84.238)
Epoch: [80][8810/9018]	Time 0.614 (0.618)	Data 0.001 (0.001)	Loss 1.8978 (1.6535)	Prec@1 54.000 (55.580)	Prec@5 78.000 (84.237)
Epoch: [80][8820/9018]	Time 0.607 (0.618)	Data 0.001 (0.001)	Loss 1.3952 (1.6535)	Prec@1 61.000 (55.579)	Prec@5 87.500 (84.236)
Epoch: [80][8830/9018]	Time 0.721 (0.618)	Data 0.001 (0.001)	Loss 1.6494 (1.6536)	Prec@1 56.000 (55.577)	Prec@5 83.000 (84.235)
Epoch: [80][8840/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.4550 (1.6536)	Prec@1 61.000 (55.578)	Prec@5 87.000 (84.235)
Epoch: [80][8850/9018]	Time 0.607 (0.618)	Data 0.001 (0.001)	Loss 1.9437 (1.6537)	Prec@1 52.000 (55.577)	Prec@5 83.000 (84.234)
Epoch: [80][8860/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.6884 (1.6538)	Prec@1 57.000 (55.576)	Prec@5 83.500 (84.232)
Epoch: [80][8870/9018]	Time 0.611 (0.618)	Data 0.001 (0.001)	Loss 1.7834 (1.6538)	Prec@1 54.500 (55.576)	Prec@5 80.500 (84.232)
Epoch: [80][8880/9018]	Time 0.617 (0.618)	Data 0.001 (0.001)	Loss 1.7161 (1.6537)	Prec@1 49.000 (55.577)	Prec@5 83.000 (84.232)
Epoch: [80][8890/9018]	Time 0.616 (0.618)	Data 0.001 (0.001)	Loss 1.6994 (1.6537)	Prec@1 52.500 (55.577)	Prec@5 86.000 (84.232)
Epoch: [80][8900/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.4973 (1.6537)	Prec@1 60.500 (55.578)	Prec@5 84.500 (84.232)
Epoch: [80][8910/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.7675 (1.6537)	Prec@1 52.000 (55.578)	Prec@5 79.500 (84.232)
Epoch: [80][8920/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.5881 (1.6537)	Prec@1 59.500 (55.578)	Prec@5 85.000 (84.233)
Epoch: [80][8930/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.6821 (1.6538)	Prec@1 53.500 (55.576)	Prec@5 83.500 (84.231)
Epoch: [80][8940/9018]	Time 0.615 (0.618)	Data 0.001 (0.001)	Loss 1.8445 (1.6538)	Prec@1 51.500 (55.575)	Prec@5 82.500 (84.232)
Epoch: [80][8950/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.6871 (1.6538)	Prec@1 53.000 (55.574)	Prec@5 85.500 (84.232)
Epoch: [80][8960/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.7699 (1.6539)	Prec@1 56.500 (55.573)	Prec@5 79.500 (84.232)
Epoch: [80][8970/9018]	Time 0.615 (0.618)	Data 0.001 (0.001)	Loss 1.8744 (1.6539)	Prec@1 51.500 (55.572)	Prec@5 79.500 (84.231)
Epoch: [80][8980/9018]	Time 0.609 (0.618)	Data 0.001 (0.001)	Loss 1.6551 (1.6540)	Prec@1 55.000 (55.571)	Prec@5 84.000 (84.230)
Epoch: [80][8990/9018]	Time 0.608 (0.618)	Data 0.001 (0.001)	Loss 1.9117 (1.6540)	Prec@1 53.000 (55.570)	Prec@5 80.500 (84.230)
Epoch: [80][9000/9018]	Time 0.612 (0.618)	Data 0.001 (0.001)	Loss 1.5215 (1.6540)	Prec@1 60.500 (55.569)	Prec@5 87.000 (84.230)
Epoch: [80][9010/9018]	Time 0.610 (0.618)	Data 0.000 (0.001)	Loss 1.7343 (1.6540)	Prec@1 54.500 (55.570)	Prec@5 83.000 (84.231)
Test: [0/183]	Time 1.447 (1.447)	Loss 2.4982 (2.4982)	Prec@1 34.500 (34.500)	Prec@5 70.500 (70.500)
Test: [10/183]	Time 0.320 (0.317)	Loss 1.7236 (1.6427)	Prec@1 60.000 (56.636)	Prec@5 85.000 (85.773)
Test: [20/183]	Time 0.185 (0.256)	Loss 1.9807 (1.6011)	Prec@1 46.500 (57.524)	Prec@5 81.500 (85.857)
Test: [30/183]	Time 0.183 (0.236)	Loss 2.4427 (1.6242)	Prec@1 30.000 (56.194)	Prec@5 74.000 (85.968)
Test: [40/183]	Time 0.188 (0.225)	Loss 2.2697 (1.6316)	Prec@1 39.500 (56.402)	Prec@5 79.000 (85.427)
Test: [50/183]	Time 0.192 (0.220)	Loss 1.5220 (1.6107)	Prec@1 58.500 (56.647)	Prec@5 87.500 (85.657)
Test: [60/183]	Time 0.187 (0.215)	Loss 2.0637 (1.6822)	Prec@1 49.000 (54.648)	Prec@5 76.500 (84.893)
Test: [70/183]	Time 0.191 (0.212)	Loss 1.5954 (1.6643)	Prec@1 54.500 (54.944)	Prec@5 85.500 (85.225)
Test: [80/183]	Time 0.182 (0.210)	Loss 1.2579 (1.6471)	Prec@1 60.500 (55.105)	Prec@5 94.500 (85.549)
Test: [90/183]	Time 0.191 (0.207)	Loss 2.2751 (1.6451)	Prec@1 41.500 (55.247)	Prec@5 75.000 (85.533)
Test: [100/183]	Time 0.192 (0.206)	Loss 0.7311 (1.6461)	Prec@1 78.000 (55.158)	Prec@5 95.000 (85.485)
Test: [110/183]	Time 0.188 (0.205)	Loss 0.6241 (1.6491)	Prec@1 84.000 (55.122)	Prec@5 97.000 (85.455)
Test: [120/183]	Time 0.189 (0.204)	Loss 2.1359 (1.6557)	Prec@1 44.500 (54.876)	Prec@5 72.500 (85.376)
Test: [130/183]	Time 0.183 (0.203)	Loss 2.8687 (1.6659)	Prec@1 21.500 (54.634)	Prec@5 74.500 (85.416)
Test: [140/183]	Time 0.197 (0.202)	Loss 1.5356 (1.6553)	Prec@1 62.000 (54.897)	Prec@5 87.000 (85.543)
Test: [150/183]	Time 0.191 (0.202)	Loss 0.5769 (1.6527)	Prec@1 87.000 (55.043)	Prec@5 98.000 (85.593)
Test: [160/183]	Time 0.198 (0.202)	Loss 1.5734 (1.6491)	Prec@1 56.000 (55.267)	Prec@5 87.000 (85.634)
Test: [170/183]	Time 0.192 (0.201)	Loss 2.0366 (1.6624)	Prec@1 39.500 (54.924)	Prec@5 84.000 (85.456)
Test: [180/183]	Time 0.182 (0.200)	Loss 2.0290 (1.6689)	Prec@1 45.000 (54.906)	Prec@5 83.000 (85.334)
 * Prec@1 54.893 Prec@5 85.323
Epoch: [81][0/9018]	Time 2.846 (2.846)	Data 2.179 (2.179)	Loss 1.7036 (1.7036)	Prec@1 56.500 (56.500)	Prec@5 83.000 (83.000)
Epoch: [81][10/9018]	Time 0.616 (0.830)	Data 0.001 (0.199)	Loss 1.7214 (1.6852)	Prec@1 50.500 (55.773)	Prec@5 81.500 (83.545)
Epoch: [81][20/9018]	Time 0.610 (0.726)	Data 0.001 (0.104)	Loss 1.5906 (1.6560)	Prec@1 56.000 (55.952)	Prec@5 87.000 (84.048)
Epoch: [81][30/9018]	Time 0.615 (0.692)	Data 0.001 (0.071)	Loss 1.7840 (1.6600)	Prec@1 57.500 (55.677)	Prec@5 81.000 (84.145)
Epoch: [81][40/9018]	Time 0.608 (0.672)	Data 0.001 (0.054)	Loss 1.6099 (1.6561)	Prec@1 59.500 (55.561)	Prec@5 86.000 (84.341)
Epoch: [81][50/9018]	Time 0.608 (0.662)	Data 0.001 (0.043)	Loss 1.3738 (1.6520)	Prec@1 60.500 (55.922)	Prec@5 90.000 (84.304)
Epoch: [81][60/9018]	Time 0.612 (0.656)	Data 0.001 (0.036)	Loss 1.7259 (1.6523)	Prec@1 55.500 (56.148)	Prec@5 82.500 (84.107)
Epoch: [81][70/9018]	Time 0.604 (0.649)	Data 0.001 (0.031)	Loss 1.8104 (1.6503)	Prec@1 51.500 (56.268)	Prec@5 81.000 (84.169)
Epoch: [81][80/9018]	Time 0.610 (0.646)	Data 0.001 (0.028)	Loss 1.7820 (1.6524)	Prec@1 55.500 (56.105)	Prec@5 83.500 (84.117)
Epoch: [81][90/9018]	Time 0.603 (0.642)	Data 0.001 (0.025)	Loss 1.5427 (1.6535)	Prec@1 56.000 (56.016)	Prec@5 86.000 (84.165)
Epoch: [81][100/9018]	Time 0.609 (0.641)	Data 0.001 (0.022)	Loss 1.6283 (1.6503)	Prec@1 56.000 (56.035)	Prec@5 85.000 (84.287)
Epoch: [81][110/9018]	Time 0.609 (0.639)	Data 0.001 (0.020)	Loss 1.7869 (1.6452)	Prec@1 55.500 (56.203)	Prec@5 81.000 (84.320)
Epoch: [81][120/9018]	Time 0.611 (0.636)	Data 0.001 (0.019)	Loss 1.5971 (1.6457)	Prec@1 54.500 (56.140)	Prec@5 85.000 (84.310)
Epoch: [81][130/9018]	Time 0.613 (0.635)	Data 0.001 (0.017)	Loss 1.7195 (1.6453)	Prec@1 54.000 (56.092)	Prec@5 81.500 (84.271)
Epoch: [81][140/9018]	Time 0.618 (0.634)	Data 0.001 (0.016)	Loss 1.6186 (1.6392)	Prec@1 57.000 (56.248)	Prec@5 85.000 (84.376)
Epoch: [81][150/9018]	Time 0.611 (0.633)	Data 0.001 (0.015)	Loss 1.5112 (1.6356)	Prec@1 60.500 (56.222)	Prec@5 86.000 (84.517)
Epoch: [81][160/9018]	Time 0.609 (0.632)	Data 0.001 (0.014)	Loss 1.3759 (1.6339)	Prec@1 60.500 (56.252)	Prec@5 90.000 (84.525)
Epoch: [81][170/9018]	Time 0.602 (0.631)	Data 0.001 (0.013)	Loss 1.5926 (1.6330)	Prec@1 58.500 (56.170)	Prec@5 85.000 (84.509)
Epoch: [81][180/9018]	Time 0.618 (0.631)	Data 0.001 (0.013)	Loss 1.6171 (1.6346)	Prec@1 52.000 (56.094)	Prec@5 83.500 (84.453)
Epoch: [81][190/9018]	Time 0.724 (0.630)	Data 0.001 (0.012)	Loss 1.5794 (1.6358)	Prec@1 61.500 (56.084)	Prec@5 85.500 (84.471)
Epoch: [81][200/9018]	Time 0.605 (0.629)	Data 0.001 (0.012)	Loss 1.6850 (1.6384)	Prec@1 58.000 (56.012)	Prec@5 83.000 (84.460)
Epoch: [81][210/9018]	Time 0.614 (0.629)	Data 0.001 (0.011)	Loss 1.4354 (1.6361)	Prec@1 61.500 (56.062)	Prec@5 87.000 (84.445)
Epoch: [81][220/9018]	Time 0.613 (0.628)	Data 0.001 (0.011)	Loss 1.7334 (1.6364)	Prec@1 55.000 (56.034)	Prec@5 82.500 (84.416)
Epoch: [81][230/9018]	Time 0.621 (0.628)	Data 0.001 (0.010)	Loss 1.7057 (1.6349)	Prec@1 52.500 (56.100)	Prec@5 83.000 (84.461)
Epoch: [81][240/9018]	Time 0.721 (0.628)	Data 0.001 (0.010)	Loss 1.4356 (1.6344)	Prec@1 57.500 (56.091)	Prec@5 88.000 (84.450)
Epoch: [81][250/9018]	Time 0.617 (0.627)	Data 0.001 (0.009)	Loss 1.5072 (1.6377)	Prec@1 56.500 (55.994)	Prec@5 85.000 (84.396)
Epoch: [81][260/9018]	Time 0.614 (0.627)	Data 0.001 (0.009)	Loss 1.4721 (1.6371)	Prec@1 59.500 (55.987)	Prec@5 85.000 (84.391)
Epoch: [81][270/9018]	Time 0.613 (0.627)	Data 0.001 (0.009)	Loss 1.4087 (1.6343)	Prec@1 61.500 (56.020)	Prec@5 86.000 (84.446)
Epoch: [81][280/9018]	Time 0.614 (0.626)	Data 0.001 (0.009)	Loss 1.6652 (1.6353)	Prec@1 59.000 (55.989)	Prec@5 83.000 (84.434)
Epoch: [81][290/9018]	Time 0.613 (0.626)	Data 0.001 (0.008)	Loss 1.5920 (1.6380)	Prec@1 56.500 (55.926)	Prec@5 84.000 (84.392)
Epoch: [81][300/9018]	Time 0.611 (0.626)	Data 0.001 (0.008)	Loss 1.7304 (1.6389)	Prec@1 49.000 (55.902)	Prec@5 84.500 (84.394)
Epoch: [81][310/9018]	Time 0.615 (0.626)	Data 0.001 (0.008)	Loss 1.6292 (1.6400)	Prec@1 55.000 (55.887)	Prec@5 84.000 (84.378)
Epoch: [81][320/9018]	Time 0.604 (0.625)	Data 0.001 (0.008)	Loss 1.6661 (1.6400)	Prec@1 53.000 (55.888)	Prec@5 84.000 (84.382)
Epoch: [81][330/9018]	Time 0.615 (0.625)	Data 0.001 (0.007)	Loss 1.6996 (1.6391)	Prec@1 54.500 (55.912)	Prec@5 84.500 (84.394)
Epoch: [81][340/9018]	Time 0.612 (0.625)	Data 0.001 (0.007)	Loss 1.6763 (1.6384)	Prec@1 58.000 (55.928)	Prec@5 85.000 (84.415)
Epoch: [81][350/9018]	Time 0.608 (0.625)	Data 0.001 (0.007)	Loss 1.6026 (1.6366)	Prec@1 53.500 (55.932)	Prec@5 87.500 (84.452)
Epoch: [81][360/9018]	Time 0.613 (0.625)	Data 0.001 (0.007)	Loss 1.5401 (1.6354)	Prec@1 59.500 (55.981)	Prec@5 87.000 (84.431)
Epoch: [81][370/9018]	Time 0.613 (0.625)	Data 0.001 (0.007)	Loss 1.6396 (1.6345)	Prec@1 55.500 (56.009)	Prec@5 84.500 (84.433)
Epoch: [81][380/9018]	Time 0.608 (0.625)	Data 0.001 (0.006)	Loss 1.6287 (1.6356)	Prec@1 56.000 (55.969)	Prec@5 84.000 (84.445)
Epoch: [81][390/9018]	Time 0.613 (0.625)	Data 0.001 (0.006)	Loss 1.5342 (1.6346)	Prec@1 60.500 (55.992)	Prec@5 85.000 (84.448)
Epoch: [81][400/9018]	Time 0.610 (0.624)	Data 0.001 (0.006)	Loss 1.6100 (1.6348)	Prec@1 53.000 (55.971)	Prec@5 86.000 (84.425)
Epoch: [81][410/9018]	Time 0.608 (0.624)	Data 0.001 (0.006)	Loss 1.5762 (1.6353)	Prec@1 60.000 (55.967)	Prec@5 85.000 (84.415)
Epoch: [81][420/9018]	Time 0.614 (0.624)	Data 0.001 (0.006)	Loss 1.8544 (1.6359)	Prec@1 49.000 (55.956)	Prec@5 83.000 (84.409)
Epoch: [81][430/9018]	Time 0.613 (0.624)	Data 0.001 (0.006)	Loss 1.7372 (1.6348)	Prec@1 53.000 (55.997)	Prec@5 85.500 (84.428)
Epoch: [81][440/9018]	Time 0.611 (0.624)	Data 0.001 (0.006)	Loss 1.5124 (1.6345)	Prec@1 58.500 (56.036)	Prec@5 87.500 (84.442)
Epoch: [81][450/9018]	Time 0.615 (0.624)	Data 0.001 (0.006)	Loss 1.6741 (1.6351)	Prec@1 54.000 (56.012)	Prec@5 86.500 (84.429)
Epoch: [81][460/9018]	Time 0.610 (0.624)	Data 0.001 (0.005)	Loss 1.6373 (1.6377)	Prec@1 55.000 (55.954)	Prec@5 88.000 (84.413)
Epoch: [81][470/9018]	Time 0.608 (0.623)	Data 0.001 (0.005)	Loss 1.5297 (1.6371)	Prec@1 59.000 (55.967)	Prec@5 84.000 (84.400)
Epoch: [81][480/9018]	Time 0.607 (0.623)	Data 0.001 (0.005)	Loss 1.6827 (1.6388)	Prec@1 54.500 (55.921)	Prec@5 83.500 (84.381)
Epoch: [81][490/9018]	Time 0.617 (0.623)	Data 0.001 (0.005)	Loss 1.6589 (1.6393)	Prec@1 58.500 (55.945)	Prec@5 83.000 (84.357)
Epoch: [81][500/9018]	Time 0.606 (0.623)	Data 0.001 (0.005)	Loss 1.4839 (1.6391)	Prec@1 61.500 (55.936)	Prec@5 87.500 (84.370)
Epoch: [81][510/9018]	Time 0.608 (0.623)	Data 0.001 (0.005)	Loss 1.7519 (1.6394)	Prec@1 55.500 (55.935)	Prec@5 84.000 (84.373)
Epoch: [81][520/9018]	Time 0.742 (0.623)	Data 0.001 (0.005)	Loss 1.4680 (1.6398)	Prec@1 63.000 (55.958)	Prec@5 87.000 (84.363)
Epoch: [81][530/9018]	Time 0.605 (0.623)	Data 0.001 (0.005)	Loss 1.4842 (1.6385)	Prec@1 61.000 (55.990)	Prec@5 86.500 (84.372)
Epoch: [81][540/9018]	Time 0.616 (0.623)	Data 0.001 (0.005)	Loss 1.6381 (1.6393)	Prec@1 54.500 (55.943)	Prec@5 85.500 (84.348)
Epoch: [81][550/9018]	Time 0.610 (0.623)	Data 0.001 (0.005)	Loss 1.4904 (1.6392)	Prec@1 57.000 (55.942)	Prec@5 88.000 (84.360)
Epoch: [81][560/9018]	Time 0.615 (0.623)	Data 0.001 (0.005)	Loss 1.5280 (1.6383)	Prec@1 54.500 (55.941)	Prec@5 86.000 (84.373)
Epoch: [81][570/9018]	Time 0.726 (0.623)	Data 0.001 (0.005)	Loss 1.7909 (1.6393)	Prec@1 52.500 (55.912)	Prec@5 85.000 (84.353)
Epoch: [81][580/9018]	Time 0.611 (0.623)	Data 0.001 (0.005)	Loss 1.7982 (1.6396)	Prec@1 53.000 (55.904)	Prec@5 81.500 (84.360)
Epoch: [81][590/9018]	Time 0.620 (0.623)	Data 0.001 (0.004)	Loss 1.4748 (1.6392)	Prec@1 61.000 (55.903)	Prec@5 87.000 (84.377)
Epoch: [81][600/9018]	Time 0.607 (0.622)	Data 0.001 (0.004)	Loss 1.7974 (1.6388)	Prec@1 48.500 (55.915)	Prec@5 83.000 (84.373)
Epoch: [81][610/9018]	Time 0.620 (0.622)	Data 0.001 (0.004)	Loss 1.6289 (1.6392)	Prec@1 58.000 (55.903)	Prec@5 84.500 (84.365)
Epoch: [81][620/9018]	Time 0.613 (0.623)	Data 0.001 (0.004)	Loss 1.5740 (1.6397)	Prec@1 59.000 (55.897)	Prec@5 87.500 (84.364)
Epoch: [81][630/9018]	Time 0.610 (0.622)	Data 0.001 (0.004)	Loss 1.8307 (1.6408)	Prec@1 51.500 (55.861)	Prec@5 80.500 (84.357)
Epoch: [81][640/9018]	Time 0.615 (0.622)	Data 0.001 (0.004)	Loss 1.6235 (1.6409)	Prec@1 60.000 (55.865)	Prec@5 83.500 (84.352)
Epoch: [81][650/9018]	Time 0.608 (0.622)	Data 0.001 (0.004)	Loss 1.7527 (1.6416)	Prec@1 56.000 (55.863)	Prec@5 83.000 (84.332)
Epoch: [81][660/9018]	Time 0.612 (0.622)	Data 0.001 (0.004)	Loss 1.5256 (1.6413)	Prec@1 56.500 (55.854)	Prec@5 89.000 (84.347)
Epoch: [81][670/9018]	Time 0.605 (0.622)	Data 0.001 (0.004)	Loss 1.5046 (1.6408)	Prec@1 64.500 (55.876)	Prec@5 84.500 (84.345)
Epoch: [81][680/9018]	Time 0.617 (0.622)	Data 0.001 (0.004)	Loss 1.7912 (1.6401)	Prec@1 54.000 (55.877)	Prec@5 80.500 (84.361)
Epoch: [81][690/9018]	Time 0.609 (0.622)	Data 0.001 (0.004)	Loss 1.5421 (1.6409)	Prec@1 62.000 (55.848)	Prec@5 83.500 (84.336)
Epoch: [81][700/9018]	Time 0.608 (0.622)	Data 0.001 (0.004)	Loss 1.5767 (1.6411)	Prec@1 57.000 (55.832)	Prec@5 87.000 (84.335)
Epoch: [81][710/9018]	Time 0.615 (0.622)	Data 0.001 (0.004)	Loss 1.6926 (1.6410)	Prec@1 58.000 (55.837)	Prec@5 81.000 (84.340)
Epoch: [81][720/9018]	Time 0.621 (0.622)	Data 0.001 (0.004)	Loss 1.5548 (1.6404)	Prec@1 53.500 (55.847)	Prec@5 88.500 (84.356)
Epoch: [81][730/9018]	Time 0.614 (0.622)	Data 0.001 (0.004)	Loss 1.7911 (1.6397)	Prec@1 57.500 (55.876)	Prec@5 81.000 (84.363)
Epoch: [81][740/9018]	Time 0.608 (0.622)	Data 0.001 (0.004)	Loss 1.5707 (1.6397)	Prec@1 58.000 (55.874)	Prec@5 86.500 (84.360)
Epoch: [81][750/9018]	Time 0.612 (0.622)	Data 0.001 (0.004)	Loss 1.7842 (1.6403)	Prec@1 55.500 (55.864)	Prec@5 82.500 (84.362)
Epoch: [81][760/9018]	Time 0.616 (0.622)	Data 0.001 (0.004)	Loss 1.6588 (1.6401)	Prec@1 53.000 (55.871)	Prec@5 82.500 (84.357)
Epoch: [81][770/9018]	Time 0.609 (0.622)	Data 0.001 (0.004)	Loss 1.5520 (1.6403)	Prec@1 54.500 (55.866)	Prec@5 84.000 (84.340)
Epoch: [81][780/9018]	Time 0.618 (0.622)	Data 0.001 (0.004)	Loss 1.4128 (1.6392)	Prec@1 65.000 (55.878)	Prec@5 89.000 (84.367)
Epoch: [81][790/9018]	Time 0.616 (0.622)	Data 0.001 (0.004)	Loss 1.3526 (1.6391)	Prec@1 63.500 (55.872)	Prec@5 88.500 (84.374)
Epoch: [81][800/9018]	Time 0.612 (0.622)	Data 0.001 (0.003)	Loss 1.4279 (1.6384)	Prec@1 61.000 (55.900)	Prec@5 85.000 (84.376)
Epoch: [81][810/9018]	Time 0.616 (0.622)	Data 0.001 (0.003)	Loss 1.5409 (1.6379)	Prec@1 59.000 (55.911)	Prec@5 86.000 (84.391)
Epoch: [81][820/9018]	Time 0.608 (0.622)	Data 0.001 (0.003)	Loss 1.6794 (1.6379)	Prec@1 52.500 (55.901)	Prec@5 84.000 (84.401)
Epoch: [81][830/9018]	Time 0.612 (0.621)	Data 0.001 (0.003)	Loss 1.6761 (1.6379)	Prec@1 57.000 (55.908)	Prec@5 84.000 (84.408)
Epoch: [81][840/9018]	Time 0.618 (0.622)	Data 0.001 (0.003)	Loss 1.5608 (1.6374)	Prec@1 53.500 (55.916)	Prec@5 88.500 (84.429)
Epoch: [81][850/9018]	Time 0.738 (0.622)	Data 0.001 (0.003)	Loss 1.6249 (1.6376)	Prec@1 56.000 (55.905)	Prec@5 83.500 (84.429)
Epoch: [81][860/9018]	Time 0.614 (0.621)	Data 0.001 (0.003)	Loss 1.6945 (1.6383)	Prec@1 53.500 (55.873)	Prec@5 81.000 (84.420)
Epoch: [81][870/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.5267 (1.6383)	Prec@1 59.000 (55.866)	Prec@5 86.000 (84.416)
Epoch: [81][880/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.6884 (1.6384)	Prec@1 53.000 (55.854)	Prec@5 84.000 (84.413)
Epoch: [81][890/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.6494 (1.6389)	Prec@1 52.500 (55.829)	Prec@5 86.000 (84.407)
Epoch: [81][900/9018]	Time 0.736 (0.621)	Data 0.001 (0.003)	Loss 1.4959 (1.6385)	Prec@1 57.000 (55.821)	Prec@5 88.000 (84.412)
Epoch: [81][910/9018]	Time 0.621 (0.621)	Data 0.001 (0.003)	Loss 1.6771 (1.6384)	Prec@1 54.500 (55.822)	Prec@5 81.000 (84.413)
Epoch: [81][920/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.6128 (1.6380)	Prec@1 57.500 (55.845)	Prec@5 87.500 (84.413)
Epoch: [81][930/9018]	Time 0.613 (0.621)	Data 0.001 (0.003)	Loss 1.5380 (1.6376)	Prec@1 57.000 (55.839)	Prec@5 86.500 (84.412)
Epoch: [81][940/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.6610 (1.6381)	Prec@1 55.500 (55.830)	Prec@5 83.500 (84.404)
Epoch: [81][950/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.5723 (1.6383)	Prec@1 58.500 (55.828)	Prec@5 83.000 (84.395)
Epoch: [81][960/9018]	Time 0.617 (0.621)	Data 0.001 (0.003)	Loss 1.6624 (1.6383)	Prec@1 56.500 (55.834)	Prec@5 81.500 (84.391)
Epoch: [81][970/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.6496 (1.6379)	Prec@1 53.500 (55.844)	Prec@5 82.500 (84.400)
Epoch: [81][980/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.6198 (1.6379)	Prec@1 56.500 (55.845)	Prec@5 82.500 (84.401)
Epoch: [81][990/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.7397 (1.6378)	Prec@1 55.000 (55.851)	Prec@5 79.000 (84.401)
Epoch: [81][1000/9018]	Time 0.609 (0.621)	Data 0.001 (0.003)	Loss 1.5755 (1.6374)	Prec@1 55.500 (55.849)	Prec@5 85.000 (84.406)
Epoch: [81][1010/9018]	Time 0.616 (0.621)	Data 0.001 (0.003)	Loss 1.6437 (1.6372)	Prec@1 56.500 (55.855)	Prec@5 80.500 (84.410)
Epoch: [81][1020/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.7613 (1.6369)	Prec@1 54.500 (55.860)	Prec@5 85.000 (84.420)
Epoch: [81][1030/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.5062 (1.6366)	Prec@1 60.500 (55.867)	Prec@5 87.500 (84.421)
Epoch: [81][1040/9018]	Time 0.612 (0.621)	Data 0.001 (0.003)	Loss 1.6673 (1.6367)	Prec@1 56.500 (55.857)	Prec@5 88.000 (84.421)
Epoch: [81][1050/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.6169 (1.6364)	Prec@1 53.000 (55.860)	Prec@5 85.500 (84.426)
Epoch: [81][1060/9018]	Time 0.614 (0.621)	Data 0.001 (0.003)	Loss 1.7080 (1.6361)	Prec@1 51.000 (55.869)	Prec@5 83.000 (84.436)
Epoch: [81][1070/9018]	Time 0.614 (0.621)	Data 0.001 (0.003)	Loss 1.6715 (1.6356)	Prec@1 52.500 (55.875)	Prec@5 84.000 (84.444)
Epoch: [81][1080/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.4743 (1.6355)	Prec@1 56.000 (55.883)	Prec@5 89.500 (84.444)
Epoch: [81][1090/9018]	Time 0.613 (0.621)	Data 0.001 (0.003)	Loss 1.5937 (1.6359)	Prec@1 55.000 (55.878)	Prec@5 85.000 (84.434)
Epoch: [81][1100/9018]	Time 0.609 (0.621)	Data 0.001 (0.003)	Loss 1.5628 (1.6357)	Prec@1 62.000 (55.887)	Prec@5 82.500 (84.428)
Epoch: [81][1110/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.6705 (1.6358)	Prec@1 57.000 (55.879)	Prec@5 83.500 (84.435)
Epoch: [81][1120/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.7806 (1.6356)	Prec@1 52.000 (55.881)	Prec@5 80.500 (84.438)
Epoch: [81][1130/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.4035 (1.6350)	Prec@1 60.500 (55.886)	Prec@5 88.000 (84.446)
Epoch: [81][1140/9018]	Time 0.613 (0.621)	Data 0.001 (0.003)	Loss 1.6630 (1.6347)	Prec@1 58.500 (55.911)	Prec@5 85.500 (84.450)
Epoch: [81][1150/9018]	Time 0.617 (0.621)	Data 0.001 (0.003)	Loss 1.7507 (1.6349)	Prec@1 55.000 (55.907)	Prec@5 81.000 (84.446)
Epoch: [81][1160/9018]	Time 0.612 (0.621)	Data 0.001 (0.003)	Loss 1.4511 (1.6347)	Prec@1 68.000 (55.928)	Prec@5 87.500 (84.439)
Epoch: [81][1170/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.5509 (1.6341)	Prec@1 56.000 (55.934)	Prec@5 84.500 (84.451)
Epoch: [81][1180/9018]	Time 0.730 (0.621)	Data 0.001 (0.003)	Loss 1.4831 (1.6339)	Prec@1 59.000 (55.942)	Prec@5 86.000 (84.454)
Epoch: [81][1190/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.5741 (1.6338)	Prec@1 54.500 (55.945)	Prec@5 87.000 (84.463)
Epoch: [81][1200/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.6078 (1.6340)	Prec@1 55.500 (55.934)	Prec@5 86.500 (84.461)
Epoch: [81][1210/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.7673 (1.6338)	Prec@1 49.500 (55.933)	Prec@5 83.000 (84.467)
Epoch: [81][1220/9018]	Time 0.612 (0.621)	Data 0.001 (0.003)	Loss 1.5631 (1.6339)	Prec@1 53.000 (55.929)	Prec@5 85.000 (84.468)
Epoch: [81][1230/9018]	Time 0.744 (0.621)	Data 0.001 (0.003)	Loss 1.6289 (1.6338)	Prec@1 57.000 (55.937)	Prec@5 87.000 (84.472)
Epoch: [81][1240/9018]	Time 0.609 (0.621)	Data 0.001 (0.003)	Loss 1.7822 (1.6338)	Prec@1 51.500 (55.941)	Prec@5 84.000 (84.470)
Epoch: [81][1250/9018]	Time 0.610 (0.621)	Data 0.001 (0.002)	Loss 1.6707 (1.6339)	Prec@1 57.000 (55.933)	Prec@5 80.000 (84.464)
Epoch: [81][1260/9018]	Time 0.614 (0.621)	Data 0.001 (0.002)	Loss 1.5536 (1.6338)	Prec@1 55.500 (55.939)	Prec@5 85.500 (84.468)
Epoch: [81][1270/9018]	Time 0.613 (0.621)	Data 0.003 (0.002)	Loss 1.7157 (1.6338)	Prec@1 55.000 (55.946)	Prec@5 83.500 (84.464)
Epoch: [81][1280/9018]	Time 0.621 (0.621)	Data 0.001 (0.002)	Loss 1.5382 (1.6337)	Prec@1 60.000 (55.950)	Prec@5 84.500 (84.466)
Epoch: [81][1290/9018]	Time 0.614 (0.621)	Data 0.001 (0.002)	Loss 1.8621 (1.6343)	Prec@1 46.500 (55.926)	Prec@5 82.500 (84.454)
Epoch: [81][1300/9018]	Time 0.611 (0.621)	Data 0.001 (0.002)	Loss 1.5956 (1.6345)	Prec@1 54.500 (55.922)	Prec@5 83.000 (84.445)
Epoch: [81][1310/9018]	Time 0.617 (0.621)	Data 0.001 (0.002)	Loss 1.5597 (1.6348)	Prec@1 58.500 (55.915)	Prec@5 88.500 (84.444)
Epoch: [81][1320/9018]	Time 0.616 (0.621)	Data 0.001 (0.002)	Loss 1.7470 (1.6351)	Prec@1 50.500 (55.902)	Prec@5 84.000 (84.445)
Epoch: [81][1330/9018]	Time 0.608 (0.621)	Data 0.001 (0.002)	Loss 1.6853 (1.6350)	Prec@1 58.500 (55.906)	Prec@5 81.500 (84.444)
Epoch: [81][1340/9018]	Time 0.605 (0.621)	Data 0.001 (0.002)	Loss 1.6559 (1.6353)	Prec@1 58.500 (55.897)	Prec@5 82.500 (84.443)
Epoch: [81][1350/9018]	Time 0.610 (0.621)	Data 0.001 (0.002)	Loss 1.5410 (1.6353)	Prec@1 59.500 (55.912)	Prec@5 87.500 (84.439)
Epoch: [81][1360/9018]	Time 0.615 (0.621)	Data 0.001 (0.002)	Loss 1.6420 (1.6354)	Prec@1 54.000 (55.911)	Prec@5 82.500 (84.439)
Epoch: [81][1370/9018]	Time 0.611 (0.621)	Data 0.001 (0.002)	Loss 1.6543 (1.6353)	Prec@1 52.000 (55.907)	Prec@5 82.000 (84.439)
Epoch: [81][1380/9018]	Time 0.613 (0.621)	Data 0.001 (0.002)	Loss 1.7480 (1.6355)	Prec@1 54.500 (55.904)	Prec@5 82.000 (84.439)
Epoch: [81][1390/9018]	Time 0.611 (0.621)	Data 0.001 (0.002)	Loss 1.6737 (1.6358)	Prec@1 55.000 (55.907)	Prec@5 85.000 (84.435)
Epoch: [81][1400/9018]	Time 0.623 (0.621)	Data 0.001 (0.002)	Loss 1.4998 (1.6358)	Prec@1 60.500 (55.915)	Prec@5 87.000 (84.429)
Epoch: [81][1410/9018]	Time 0.615 (0.621)	Data 0.001 (0.002)	Loss 1.6540 (1.6359)	Prec@1 53.000 (55.911)	Prec@5 84.500 (84.429)
Epoch: [81][1420/9018]	Time 0.613 (0.621)	Data 0.001 (0.002)	Loss 1.4982 (1.6356)	Prec@1 58.500 (55.916)	Prec@5 82.000 (84.432)
Epoch: [81][1430/9018]	Time 0.611 (0.621)	Data 0.001 (0.002)	Loss 1.6629 (1.6352)	Prec@1 50.500 (55.925)	Prec@5 83.500 (84.439)
Epoch: [81][1440/9018]	Time 0.616 (0.621)	Data 0.001 (0.002)	Loss 1.5535 (1.6353)	Prec@1 57.000 (55.925)	Prec@5 86.500 (84.436)
Epoch: [81][1450/9018]	Time 0.610 (0.621)	Data 0.001 (0.002)	Loss 1.5237 (1.6353)	Prec@1 58.500 (55.925)	Prec@5 85.000 (84.437)
Epoch: [81][1460/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.4864 (1.6354)	Prec@1 60.000 (55.923)	Prec@5 90.000 (84.435)
Epoch: [81][1470/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 2.0075 (1.6355)	Prec@1 49.000 (55.921)	Prec@5 77.000 (84.439)
Epoch: [81][1480/9018]	Time 0.614 (0.621)	Data 0.001 (0.002)	Loss 1.7697 (1.6359)	Prec@1 54.000 (55.918)	Prec@5 82.000 (84.431)
Epoch: [81][1490/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.7269 (1.6357)	Prec@1 51.500 (55.920)	Prec@5 80.000 (84.434)
Epoch: [81][1500/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.5608 (1.6359)	Prec@1 59.000 (55.917)	Prec@5 84.000 (84.434)
Epoch: [81][1510/9018]	Time 0.737 (0.621)	Data 0.001 (0.002)	Loss 1.4193 (1.6362)	Prec@1 58.500 (55.919)	Prec@5 89.000 (84.429)
Epoch: [81][1520/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.7455 (1.6363)	Prec@1 51.000 (55.915)	Prec@5 82.500 (84.424)
Epoch: [81][1530/9018]	Time 0.613 (0.620)	Data 0.003 (0.002)	Loss 1.5857 (1.6363)	Prec@1 57.000 (55.913)	Prec@5 84.000 (84.423)
Epoch: [81][1540/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.6416 (1.6360)	Prec@1 53.000 (55.916)	Prec@5 83.500 (84.433)
Epoch: [81][1550/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.6046 (1.6359)	Prec@1 56.000 (55.913)	Prec@5 86.000 (84.440)
Epoch: [81][1560/9018]	Time 0.727 (0.620)	Data 0.001 (0.002)	Loss 1.5749 (1.6361)	Prec@1 60.000 (55.906)	Prec@5 86.500 (84.436)
Epoch: [81][1570/9018]	Time 0.618 (0.620)	Data 0.001 (0.002)	Loss 1.7550 (1.6362)	Prec@1 52.000 (55.902)	Prec@5 83.000 (84.429)
Epoch: [81][1580/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.9137 (1.6365)	Prec@1 46.500 (55.895)	Prec@5 81.500 (84.422)
Epoch: [81][1590/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.8245 (1.6364)	Prec@1 54.500 (55.895)	Prec@5 82.500 (84.421)
Epoch: [81][1600/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.4867 (1.6363)	Prec@1 58.500 (55.901)	Prec@5 87.000 (84.421)
Epoch: [81][1610/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.5793 (1.6364)	Prec@1 58.500 (55.906)	Prec@5 84.500 (84.418)
Epoch: [81][1620/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.5213 (1.6364)	Prec@1 51.500 (55.903)	Prec@5 88.500 (84.417)
Epoch: [81][1630/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.6331 (1.6363)	Prec@1 56.000 (55.904)	Prec@5 85.500 (84.420)
Epoch: [81][1640/9018]	Time 0.604 (0.620)	Data 0.001 (0.002)	Loss 1.6152 (1.6363)	Prec@1 52.500 (55.899)	Prec@5 85.000 (84.418)
Epoch: [81][1650/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.5272 (1.6365)	Prec@1 59.000 (55.893)	Prec@5 85.500 (84.418)
Epoch: [81][1660/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.6644 (1.6366)	Prec@1 57.000 (55.890)	Prec@5 88.000 (84.418)
Epoch: [81][1670/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.8469 (1.6365)	Prec@1 49.500 (55.894)	Prec@5 77.500 (84.412)
Epoch: [81][1680/9018]	Time 0.615 (0.620)	Data 0.001 (0.002)	Loss 1.5543 (1.6364)	Prec@1 57.000 (55.899)	Prec@5 84.000 (84.410)
Epoch: [81][1690/9018]	Time 0.615 (0.620)	Data 0.001 (0.002)	Loss 1.7425 (1.6368)	Prec@1 57.500 (55.904)	Prec@5 83.500 (84.401)
Epoch: [81][1700/9018]	Time 0.621 (0.620)	Data 0.002 (0.002)	Loss 1.7451 (1.6372)	Prec@1 55.500 (55.901)	Prec@5 81.500 (84.402)
Epoch: [81][1710/9018]	Time 0.620 (0.620)	Data 0.001 (0.002)	Loss 1.6515 (1.6372)	Prec@1 56.500 (55.905)	Prec@5 85.500 (84.404)
Epoch: [81][1720/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.4074 (1.6369)	Prec@1 63.000 (55.914)	Prec@5 86.500 (84.409)
Epoch: [81][1730/9018]	Time 0.619 (0.620)	Data 0.001 (0.002)	Loss 1.5734 (1.6368)	Prec@1 55.500 (55.919)	Prec@5 87.500 (84.410)
Epoch: [81][1740/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.6047 (1.6371)	Prec@1 58.000 (55.918)	Prec@5 84.500 (84.405)
Epoch: [81][1750/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.4552 (1.6366)	Prec@1 61.500 (55.930)	Prec@5 87.000 (84.414)
Epoch: [81][1760/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.6445 (1.6366)	Prec@1 58.000 (55.936)	Prec@5 83.500 (84.412)
Epoch: [81][1770/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.6532 (1.6363)	Prec@1 55.500 (55.947)	Prec@5 82.500 (84.415)
Epoch: [81][1780/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.4503 (1.6360)	Prec@1 63.500 (55.948)	Prec@5 87.000 (84.420)
Epoch: [81][1790/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.6547 (1.6361)	Prec@1 55.500 (55.942)	Prec@5 84.500 (84.416)
Epoch: [81][1800/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.5800 (1.6361)	Prec@1 55.500 (55.942)	Prec@5 87.000 (84.415)
Epoch: [81][1810/9018]	Time 0.620 (0.620)	Data 0.001 (0.002)	Loss 1.7039 (1.6362)	Prec@1 54.500 (55.943)	Prec@5 83.500 (84.412)
Epoch: [81][1820/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.4496 (1.6362)	Prec@1 60.500 (55.944)	Prec@5 88.000 (84.412)
Epoch: [81][1830/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.5780 (1.6362)	Prec@1 57.000 (55.938)	Prec@5 85.500 (84.411)
Epoch: [81][1840/9018]	Time 0.730 (0.620)	Data 0.001 (0.002)	Loss 1.7654 (1.6360)	Prec@1 50.000 (55.941)	Prec@5 81.500 (84.414)
Epoch: [81][1850/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.5957 (1.6362)	Prec@1 57.000 (55.935)	Prec@5 87.000 (84.412)
Epoch: [81][1860/9018]	Time 0.615 (0.620)	Data 0.001 (0.002)	Loss 1.6823 (1.6362)	Prec@1 56.000 (55.942)	Prec@5 84.000 (84.409)
Epoch: [81][1870/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.8073 (1.6362)	Prec@1 50.500 (55.944)	Prec@5 84.000 (84.412)
Epoch: [81][1880/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.6529 (1.6361)	Prec@1 55.500 (55.945)	Prec@5 84.000 (84.413)
Epoch: [81][1890/9018]	Time 0.749 (0.620)	Data 0.001 (0.002)	Loss 1.7394 (1.6363)	Prec@1 54.500 (55.942)	Prec@5 84.000 (84.410)
Epoch: [81][1900/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.5074 (1.6361)	Prec@1 55.500 (55.943)	Prec@5 90.500 (84.417)
Epoch: [81][1910/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.6754 (1.6365)	Prec@1 56.000 (55.936)	Prec@5 83.500 (84.406)
Epoch: [81][1920/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.6508 (1.6363)	Prec@1 56.000 (55.943)	Prec@5 83.000 (84.413)
Epoch: [81][1930/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.6938 (1.6362)	Prec@1 52.500 (55.945)	Prec@5 81.500 (84.412)
Epoch: [81][1940/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.6830 (1.6364)	Prec@1 52.000 (55.942)	Prec@5 83.000 (84.407)
Epoch: [81][1950/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.7635 (1.6363)	Prec@1 54.000 (55.936)	Prec@5 80.000 (84.409)
Epoch: [81][1960/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.7402 (1.6364)	Prec@1 53.000 (55.935)	Prec@5 80.500 (84.405)
Epoch: [81][1970/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.9277 (1.6368)	Prec@1 54.500 (55.936)	Prec@5 80.000 (84.401)
Epoch: [81][1980/9018]	Time 0.615 (0.620)	Data 0.001 (0.002)	Loss 1.7574 (1.6367)	Prec@1 52.000 (55.938)	Prec@5 80.000 (84.403)
Epoch: [81][1990/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.7340 (1.6370)	Prec@1 55.000 (55.938)	Prec@5 85.000 (84.397)
Epoch: [81][2000/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.4580 (1.6373)	Prec@1 59.000 (55.938)	Prec@5 87.000 (84.389)
Epoch: [81][2010/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.4953 (1.6371)	Prec@1 61.500 (55.940)	Prec@5 86.500 (84.390)
Epoch: [81][2020/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.5704 (1.6370)	Prec@1 56.500 (55.943)	Prec@5 85.000 (84.391)
Epoch: [81][2030/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.6950 (1.6371)	Prec@1 54.000 (55.941)	Prec@5 81.000 (84.388)
Epoch: [81][2040/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.9098 (1.6370)	Prec@1 49.000 (55.947)	Prec@5 81.000 (84.392)
Epoch: [81][2050/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.6813 (1.6374)	Prec@1 56.000 (55.934)	Prec@5 84.500 (84.385)
Epoch: [81][2060/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.5943 (1.6374)	Prec@1 57.000 (55.936)	Prec@5 81.500 (84.385)
Epoch: [81][2070/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.5908 (1.6377)	Prec@1 55.000 (55.931)	Prec@5 85.500 (84.382)
Epoch: [81][2080/9018]	Time 0.615 (0.620)	Data 0.001 (0.002)	Loss 1.6029 (1.6376)	Prec@1 53.000 (55.932)	Prec@5 85.000 (84.383)
Epoch: [81][2090/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.5280 (1.6378)	Prec@1 57.500 (55.923)	Prec@5 86.000 (84.384)
Epoch: [81][2100/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.6651 (1.6377)	Prec@1 54.500 (55.923)	Prec@5 82.500 (84.386)
Epoch: [81][2110/9018]	Time 0.608 (0.620)	Data 0.001 (0.002)	Loss 1.6211 (1.6376)	Prec@1 55.000 (55.929)	Prec@5 86.500 (84.388)
Epoch: [81][2120/9018]	Time 0.620 (0.620)	Data 0.001 (0.002)	Loss 1.7340 (1.6375)	Prec@1 53.000 (55.928)	Prec@5 88.500 (84.393)
Epoch: [81][2130/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.6913 (1.6377)	Prec@1 52.500 (55.926)	Prec@5 81.500 (84.387)
Epoch: [81][2140/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.5819 (1.6378)	Prec@1 58.000 (55.923)	Prec@5 83.500 (84.388)
Epoch: [81][2150/9018]	Time 0.605 (0.620)	Data 0.001 (0.002)	Loss 1.6242 (1.6381)	Prec@1 57.500 (55.919)	Prec@5 85.500 (84.388)
Epoch: [81][2160/9018]	Time 0.608 (0.620)	Data 0.001 (0.002)	Loss 1.5111 (1.6379)	Prec@1 55.500 (55.918)	Prec@5 88.000 (84.391)
Epoch: [81][2170/9018]	Time 0.736 (0.620)	Data 0.001 (0.002)	Loss 1.7001 (1.6379)	Prec@1 53.000 (55.915)	Prec@5 84.500 (84.393)
Epoch: [81][2180/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.6184 (1.6379)	Prec@1 60.500 (55.917)	Prec@5 84.500 (84.392)
Epoch: [81][2190/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.4513 (1.6379)	Prec@1 56.000 (55.918)	Prec@5 89.500 (84.396)
Epoch: [81][2200/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.8144 (1.6375)	Prec@1 51.000 (55.925)	Prec@5 81.000 (84.400)
Epoch: [81][2210/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.7885 (1.6376)	Prec@1 56.000 (55.920)	Prec@5 83.500 (84.399)
Epoch: [81][2220/9018]	Time 0.740 (0.620)	Data 0.001 (0.002)	Loss 1.6800 (1.6380)	Prec@1 58.000 (55.911)	Prec@5 86.500 (84.392)
Epoch: [81][2230/9018]	Time 0.628 (0.620)	Data 0.001 (0.002)	Loss 1.6216 (1.6382)	Prec@1 56.500 (55.905)	Prec@5 84.000 (84.388)
Epoch: [81][2240/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.5930 (1.6383)	Prec@1 55.500 (55.900)	Prec@5 87.000 (84.385)
Epoch: [81][2250/9018]	Time 0.615 (0.620)	Data 0.001 (0.002)	Loss 1.5623 (1.6382)	Prec@1 57.000 (55.905)	Prec@5 87.000 (84.382)
Epoch: [81][2260/9018]	Time 0.605 (0.620)	Data 0.001 (0.002)	Loss 1.5720 (1.6380)	Prec@1 55.000 (55.908)	Prec@5 84.000 (84.383)
Epoch: [81][2270/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.5372 (1.6381)	Prec@1 56.000 (55.904)	Prec@5 84.500 (84.379)
Epoch: [81][2280/9018]	Time 0.621 (0.620)	Data 0.001 (0.002)	Loss 1.6166 (1.6380)	Prec@1 57.000 (55.908)	Prec@5 85.000 (84.382)
Epoch: [81][2290/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.8073 (1.6379)	Prec@1 50.000 (55.915)	Prec@5 82.000 (84.380)
Epoch: [81][2300/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.7287 (1.6379)	Prec@1 52.500 (55.910)	Prec@5 83.500 (84.383)
Epoch: [81][2310/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.7370 (1.6380)	Prec@1 54.500 (55.905)	Prec@5 84.500 (84.386)
Epoch: [81][2320/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.7024 (1.6377)	Prec@1 57.500 (55.917)	Prec@5 84.000 (84.392)
Epoch: [81][2330/9018]	Time 0.623 (0.620)	Data 0.002 (0.002)	Loss 1.4911 (1.6376)	Prec@1 64.000 (55.920)	Prec@5 88.500 (84.396)
Epoch: [81][2340/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.8495 (1.6379)	Prec@1 53.000 (55.921)	Prec@5 81.500 (84.390)
Epoch: [81][2350/9018]	Time 0.617 (0.620)	Data 0.001 (0.002)	Loss 1.6004 (1.6376)	Prec@1 59.000 (55.923)	Prec@5 88.500 (84.398)
Epoch: [81][2360/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.5973 (1.6376)	Prec@1 58.000 (55.927)	Prec@5 83.500 (84.396)
Epoch: [81][2370/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.7321 (1.6376)	Prec@1 56.000 (55.922)	Prec@5 84.500 (84.400)
Epoch: [81][2380/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.6711 (1.6375)	Prec@1 57.500 (55.923)	Prec@5 85.500 (84.402)
Epoch: [81][2390/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.6305 (1.6375)	Prec@1 55.500 (55.922)	Prec@5 85.500 (84.405)
Epoch: [81][2400/9018]	Time 0.619 (0.620)	Data 0.001 (0.002)	Loss 1.7741 (1.6377)	Prec@1 50.500 (55.917)	Prec@5 82.000 (84.400)
Epoch: [81][2410/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.8541 (1.6377)	Prec@1 47.000 (55.915)	Prec@5 81.000 (84.398)
Epoch: [81][2420/9018]	Time 0.619 (0.620)	Data 0.001 (0.002)	Loss 1.5402 (1.6375)	Prec@1 58.000 (55.920)	Prec@5 85.500 (84.398)
Epoch: [81][2430/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.6108 (1.6377)	Prec@1 58.000 (55.915)	Prec@5 84.000 (84.393)
Epoch: [81][2440/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.7749 (1.6378)	Prec@1 53.000 (55.913)	Prec@5 82.000 (84.394)
Epoch: [81][2450/9018]	Time 0.619 (0.620)	Data 0.001 (0.002)	Loss 1.5711 (1.6375)	Prec@1 56.000 (55.921)	Prec@5 84.500 (84.397)
Epoch: [81][2460/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.6325 (1.6378)	Prec@1 55.000 (55.918)	Prec@5 84.500 (84.393)
Epoch: [81][2470/9018]	Time 0.624 (0.620)	Data 0.001 (0.002)	Loss 1.6359 (1.6381)	Prec@1 60.000 (55.913)	Prec@5 84.500 (84.389)
Epoch: [81][2480/9018]	Time 0.619 (0.620)	Data 0.001 (0.002)	Loss 1.5714 (1.6383)	Prec@1 57.000 (55.907)	Prec@5 85.500 (84.385)
Epoch: [81][2490/9018]	Time 0.605 (0.620)	Data 0.001 (0.002)	Loss 1.5043 (1.6383)	Prec@1 58.500 (55.907)	Prec@5 88.000 (84.387)
Epoch: [81][2500/9018]	Time 0.740 (0.620)	Data 0.001 (0.002)	Loss 1.8157 (1.6382)	Prec@1 52.500 (55.912)	Prec@5 81.500 (84.385)
Epoch: [81][2510/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.8319 (1.6384)	Prec@1 51.500 (55.909)	Prec@5 83.000 (84.382)
Epoch: [81][2520/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.3114 (1.6381)	Prec@1 60.500 (55.912)	Prec@5 93.000 (84.388)
Epoch: [81][2530/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.6806 (1.6383)	Prec@1 54.500 (55.907)	Prec@5 83.500 (84.387)
Epoch: [81][2540/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.5441 (1.6381)	Prec@1 56.500 (55.912)	Prec@5 87.000 (84.390)
Epoch: [81][2550/9018]	Time 0.721 (0.620)	Data 0.001 (0.002)	Loss 1.5912 (1.6381)	Prec@1 55.000 (55.912)	Prec@5 86.000 (84.392)
Epoch: [81][2560/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.8221 (1.6382)	Prec@1 53.000 (55.910)	Prec@5 78.000 (84.390)
Epoch: [81][2570/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.7580 (1.6385)	Prec@1 53.000 (55.910)	Prec@5 81.500 (84.389)
Epoch: [81][2580/9018]	Time 0.618 (0.620)	Data 0.001 (0.002)	Loss 1.6764 (1.6385)	Prec@1 53.000 (55.908)	Prec@5 83.500 (84.386)
Epoch: [81][2590/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.8290 (1.6387)	Prec@1 52.000 (55.903)	Prec@5 82.000 (84.387)
Epoch: [81][2600/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.6678 (1.6386)	Prec@1 56.000 (55.906)	Prec@5 83.500 (84.391)
Epoch: [81][2610/9018]	Time 0.615 (0.620)	Data 0.001 (0.002)	Loss 1.5977 (1.6384)	Prec@1 57.000 (55.916)	Prec@5 86.000 (84.395)
Epoch: [81][2620/9018]	Time 0.615 (0.620)	Data 0.001 (0.002)	Loss 1.6855 (1.6386)	Prec@1 52.000 (55.910)	Prec@5 85.500 (84.395)
Epoch: [81][2630/9018]	Time 0.620 (0.620)	Data 0.001 (0.002)	Loss 1.7374 (1.6386)	Prec@1 51.500 (55.910)	Prec@5 85.000 (84.394)
Epoch: [81][2640/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.5896 (1.6386)	Prec@1 52.000 (55.910)	Prec@5 89.000 (84.395)
Epoch: [81][2650/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.9396 (1.6385)	Prec@1 49.000 (55.912)	Prec@5 81.000 (84.396)
Epoch: [81][2660/9018]	Time 0.620 (0.620)	Data 0.001 (0.002)	Loss 1.7451 (1.6388)	Prec@1 57.000 (55.902)	Prec@5 80.500 (84.390)
Epoch: [81][2670/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.6926 (1.6389)	Prec@1 55.000 (55.901)	Prec@5 84.000 (84.392)
Epoch: [81][2680/9018]	Time 0.617 (0.620)	Data 0.001 (0.002)	Loss 1.5481 (1.6391)	Prec@1 58.000 (55.900)	Prec@5 87.000 (84.386)
Epoch: [81][2690/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.7314 (1.6392)	Prec@1 47.000 (55.896)	Prec@5 82.500 (84.384)
Epoch: [81][2700/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.7742 (1.6390)	Prec@1 48.000 (55.898)	Prec@5 83.000 (84.389)
Epoch: [81][2710/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.5956 (1.6390)	Prec@1 55.500 (55.896)	Prec@5 85.000 (84.393)
Epoch: [81][2720/9018]	Time 0.619 (0.620)	Data 0.001 (0.002)	Loss 1.3414 (1.6386)	Prec@1 61.000 (55.903)	Prec@5 88.500 (84.401)
Epoch: [81][2730/9018]	Time 0.618 (0.620)	Data 0.001 (0.002)	Loss 1.6889 (1.6386)	Prec@1 52.500 (55.899)	Prec@5 83.000 (84.400)
Epoch: [81][2740/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.4709 (1.6383)	Prec@1 61.500 (55.908)	Prec@5 87.000 (84.405)
Epoch: [81][2750/9018]	Time 0.626 (0.620)	Data 0.001 (0.002)	Loss 1.6715 (1.6386)	Prec@1 52.000 (55.898)	Prec@5 86.000 (84.403)
Epoch: [81][2760/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.7756 (1.6385)	Prec@1 51.500 (55.902)	Prec@5 84.000 (84.402)
Epoch: [81][2770/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.6824 (1.6387)	Prec@1 53.500 (55.897)	Prec@5 81.000 (84.401)
Epoch: [81][2780/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.5876 (1.6389)	Prec@1 53.500 (55.892)	Prec@5 86.000 (84.399)
Epoch: [81][2790/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.7098 (1.6387)	Prec@1 51.000 (55.892)	Prec@5 83.000 (84.403)
Epoch: [81][2800/9018]	Time 0.608 (0.620)	Data 0.001 (0.002)	Loss 1.6761 (1.6388)	Prec@1 58.000 (55.892)	Prec@5 84.000 (84.401)
Epoch: [81][2810/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.7252 (1.6389)	Prec@1 55.000 (55.890)	Prec@5 81.000 (84.401)
Epoch: [81][2820/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.6987 (1.6391)	Prec@1 52.000 (55.887)	Prec@5 83.000 (84.396)
Epoch: [81][2830/9018]	Time 0.725 (0.620)	Data 0.001 (0.002)	Loss 1.6104 (1.6389)	Prec@1 58.000 (55.895)	Prec@5 83.000 (84.398)
Epoch: [81][2840/9018]	Time 0.620 (0.620)	Data 0.001 (0.002)	Loss 1.5714 (1.6388)	Prec@1 60.000 (55.900)	Prec@5 82.000 (84.399)
Epoch: [81][2850/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.7660 (1.6389)	Prec@1 47.000 (55.899)	Prec@5 80.000 (84.395)
Epoch: [81][2860/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.5068 (1.6387)	Prec@1 60.000 (55.906)	Prec@5 88.000 (84.396)
Epoch: [81][2870/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.5026 (1.6387)	Prec@1 59.000 (55.908)	Prec@5 86.000 (84.396)
Epoch: [81][2880/9018]	Time 0.743 (0.620)	Data 0.001 (0.002)	Loss 1.6635 (1.6387)	Prec@1 52.500 (55.903)	Prec@5 85.500 (84.395)
Epoch: [81][2890/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.8437 (1.6390)	Prec@1 48.500 (55.897)	Prec@5 83.000 (84.390)
Epoch: [81][2900/9018]	Time 0.615 (0.620)	Data 0.001 (0.002)	Loss 1.6186 (1.6391)	Prec@1 58.500 (55.899)	Prec@5 82.000 (84.387)
Epoch: [81][2910/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.4853 (1.6391)	Prec@1 65.000 (55.901)	Prec@5 85.500 (84.390)
Epoch: [81][2920/9018]	Time 0.608 (0.620)	Data 0.001 (0.002)	Loss 1.6949 (1.6389)	Prec@1 57.000 (55.908)	Prec@5 81.500 (84.392)
Epoch: [81][2930/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.7333 (1.6387)	Prec@1 55.000 (55.915)	Prec@5 83.500 (84.395)
Epoch: [81][2940/9018]	Time 0.605 (0.620)	Data 0.001 (0.002)	Loss 1.6793 (1.6388)	Prec@1 54.000 (55.915)	Prec@5 79.000 (84.393)
Epoch: [81][2950/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.7150 (1.6387)	Prec@1 53.000 (55.918)	Prec@5 82.000 (84.391)
Epoch: [81][2960/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.8559 (1.6389)	Prec@1 51.000 (55.909)	Prec@5 77.500 (84.392)
Epoch: [81][2970/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.5209 (1.6389)	Prec@1 56.000 (55.908)	Prec@5 85.000 (84.392)
Epoch: [81][2980/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.7949 (1.6387)	Prec@1 52.000 (55.909)	Prec@5 80.500 (84.395)
Epoch: [81][2990/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.7398 (1.6388)	Prec@1 49.500 (55.910)	Prec@5 86.000 (84.395)
Epoch: [81][3000/9018]	Time 0.620 (0.620)	Data 0.001 (0.002)	Loss 1.5202 (1.6387)	Prec@1 56.500 (55.909)	Prec@5 88.000 (84.395)
Epoch: [81][3010/9018]	Time 0.618 (0.620)	Data 0.001 (0.002)	Loss 1.6977 (1.6385)	Prec@1 55.500 (55.915)	Prec@5 84.000 (84.398)
Epoch: [81][3020/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.7177 (1.6386)	Prec@1 55.500 (55.913)	Prec@5 81.500 (84.398)
Epoch: [81][3030/9018]	Time 0.623 (0.620)	Data 0.001 (0.001)	Loss 1.6086 (1.6387)	Prec@1 58.000 (55.915)	Prec@5 88.000 (84.395)
Epoch: [81][3040/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.5019 (1.6388)	Prec@1 53.500 (55.914)	Prec@5 86.500 (84.393)
Epoch: [81][3050/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.8050 (1.6391)	Prec@1 56.000 (55.916)	Prec@5 78.500 (84.386)
Epoch: [81][3060/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.6054 (1.6393)	Prec@1 55.500 (55.907)	Prec@5 86.000 (84.383)
Epoch: [81][3070/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.6509 (1.6396)	Prec@1 50.000 (55.899)	Prec@5 88.000 (84.378)
Epoch: [81][3080/9018]	Time 0.603 (0.620)	Data 0.001 (0.001)	Loss 1.6101 (1.6396)	Prec@1 55.500 (55.895)	Prec@5 84.000 (84.378)
Epoch: [81][3090/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.4693 (1.6395)	Prec@1 56.500 (55.900)	Prec@5 88.500 (84.382)
Epoch: [81][3100/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 1.5650 (1.6396)	Prec@1 58.000 (55.896)	Prec@5 87.000 (84.382)
Epoch: [81][3110/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.4501 (1.6395)	Prec@1 57.000 (55.898)	Prec@5 88.500 (84.383)
Epoch: [81][3120/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.6148 (1.6396)	Prec@1 54.000 (55.895)	Prec@5 84.500 (84.381)
Epoch: [81][3130/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.4755 (1.6397)	Prec@1 60.500 (55.891)	Prec@5 87.000 (84.379)
Epoch: [81][3140/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.5645 (1.6397)	Prec@1 52.000 (55.891)	Prec@5 87.000 (84.378)
Epoch: [81][3150/9018]	Time 0.618 (0.620)	Data 0.001 (0.001)	Loss 1.4839 (1.6395)	Prec@1 59.000 (55.895)	Prec@5 86.000 (84.381)
Epoch: [81][3160/9018]	Time 0.717 (0.620)	Data 0.001 (0.001)	Loss 1.6927 (1.6398)	Prec@1 49.500 (55.886)	Prec@5 84.000 (84.374)
Epoch: [81][3170/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.6372 (1.6399)	Prec@1 55.500 (55.884)	Prec@5 85.500 (84.375)
Epoch: [81][3180/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.6059 (1.6399)	Prec@1 60.500 (55.881)	Prec@5 84.000 (84.374)
Epoch: [81][3190/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.6094 (1.6400)	Prec@1 58.500 (55.879)	Prec@5 86.500 (84.371)
Epoch: [81][3200/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.3857 (1.6401)	Prec@1 62.500 (55.878)	Prec@5 88.500 (84.371)
Epoch: [81][3210/9018]	Time 0.725 (0.620)	Data 0.001 (0.001)	Loss 1.8577 (1.6405)	Prec@1 51.000 (55.869)	Prec@5 77.500 (84.363)
Epoch: [81][3220/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.3420 (1.6404)	Prec@1 64.500 (55.877)	Prec@5 88.500 (84.363)
Epoch: [81][3230/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.7604 (1.6404)	Prec@1 50.000 (55.876)	Prec@5 85.000 (84.365)
Epoch: [81][3240/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.7724 (1.6407)	Prec@1 51.500 (55.872)	Prec@5 84.000 (84.359)
Epoch: [81][3250/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6309 (1.6408)	Prec@1 57.000 (55.873)	Prec@5 85.500 (84.358)
Epoch: [81][3260/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.6594 (1.6408)	Prec@1 53.500 (55.867)	Prec@5 83.000 (84.359)
Epoch: [81][3270/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 1.3673 (1.6408)	Prec@1 61.500 (55.866)	Prec@5 90.000 (84.359)
Epoch: [81][3280/9018]	Time 0.620 (0.620)	Data 0.001 (0.001)	Loss 1.4928 (1.6407)	Prec@1 56.500 (55.867)	Prec@5 89.000 (84.361)
Epoch: [81][3290/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.8203 (1.6407)	Prec@1 53.000 (55.866)	Prec@5 80.500 (84.361)
Epoch: [81][3300/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.3580 (1.6406)	Prec@1 63.000 (55.869)	Prec@5 91.000 (84.365)
Epoch: [81][3310/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.6309 (1.6407)	Prec@1 56.500 (55.866)	Prec@5 87.000 (84.367)
Epoch: [81][3320/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.8515 (1.6407)	Prec@1 54.500 (55.866)	Prec@5 79.500 (84.368)
Epoch: [81][3330/9018]	Time 0.620 (0.620)	Data 0.001 (0.001)	Loss 1.5487 (1.6408)	Prec@1 58.000 (55.863)	Prec@5 83.500 (84.368)
Epoch: [81][3340/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6336 (1.6410)	Prec@1 60.000 (55.860)	Prec@5 82.000 (84.362)
Epoch: [81][3350/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.7477 (1.6410)	Prec@1 56.000 (55.863)	Prec@5 82.000 (84.360)
Epoch: [81][3360/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.5940 (1.6410)	Prec@1 53.500 (55.862)	Prec@5 87.000 (84.362)
Epoch: [81][3370/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.8058 (1.6412)	Prec@1 53.500 (55.861)	Prec@5 83.500 (84.357)
Epoch: [81][3380/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.4940 (1.6413)	Prec@1 56.000 (55.859)	Prec@5 87.500 (84.355)
Epoch: [81][3390/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.6335 (1.6411)	Prec@1 52.500 (55.861)	Prec@5 87.000 (84.359)
Epoch: [81][3400/9018]	Time 0.620 (0.620)	Data 0.001 (0.001)	Loss 1.8652 (1.6410)	Prec@1 52.000 (55.864)	Prec@5 83.500 (84.359)
Epoch: [81][3410/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 1.8152 (1.6412)	Prec@1 53.500 (55.863)	Prec@5 79.500 (84.355)
Epoch: [81][3420/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.8095 (1.6412)	Prec@1 55.000 (55.859)	Prec@5 78.500 (84.356)
Epoch: [81][3430/9018]	Time 0.603 (0.620)	Data 0.001 (0.001)	Loss 1.9144 (1.6413)	Prec@1 50.500 (55.858)	Prec@5 76.500 (84.353)
Epoch: [81][3440/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.6439 (1.6413)	Prec@1 55.000 (55.863)	Prec@5 86.000 (84.354)
Epoch: [81][3450/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6741 (1.6412)	Prec@1 55.500 (55.866)	Prec@5 82.000 (84.353)
Epoch: [81][3460/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.6382 (1.6412)	Prec@1 55.000 (55.866)	Prec@5 83.000 (84.355)
Epoch: [81][3470/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5431 (1.6411)	Prec@1 58.500 (55.868)	Prec@5 85.000 (84.356)
Epoch: [81][3480/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.7125 (1.6411)	Prec@1 52.500 (55.870)	Prec@5 82.500 (84.354)
Epoch: [81][3490/9018]	Time 0.743 (0.620)	Data 0.001 (0.001)	Loss 1.5123 (1.6410)	Prec@1 61.500 (55.874)	Prec@5 87.000 (84.359)
Epoch: [81][3500/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.4944 (1.6411)	Prec@1 56.000 (55.872)	Prec@5 89.000 (84.356)
Epoch: [81][3510/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.6508 (1.6410)	Prec@1 57.500 (55.872)	Prec@5 84.000 (84.355)
Epoch: [81][3520/9018]	Time 0.618 (0.620)	Data 0.001 (0.001)	Loss 1.6800 (1.6407)	Prec@1 56.500 (55.882)	Prec@5 82.000 (84.355)
Epoch: [81][3530/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 1.5867 (1.6407)	Prec@1 54.000 (55.878)	Prec@5 88.000 (84.358)
Epoch: [81][3540/9018]	Time 0.746 (0.620)	Data 0.001 (0.001)	Loss 1.5173 (1.6406)	Prec@1 62.500 (55.884)	Prec@5 84.000 (84.360)
Epoch: [81][3550/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.2998 (1.6406)	Prec@1 66.000 (55.883)	Prec@5 88.500 (84.360)
Epoch: [81][3560/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.3098 (1.6406)	Prec@1 65.500 (55.882)	Prec@5 89.500 (84.357)
Epoch: [81][3570/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.6482 (1.6406)	Prec@1 58.000 (55.883)	Prec@5 82.000 (84.358)
Epoch: [81][3580/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.6753 (1.6406)	Prec@1 62.000 (55.886)	Prec@5 82.500 (84.356)
Epoch: [81][3590/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.5307 (1.6409)	Prec@1 64.000 (55.881)	Prec@5 84.500 (84.351)
Epoch: [81][3600/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.5351 (1.6410)	Prec@1 52.000 (55.877)	Prec@5 88.500 (84.349)
Epoch: [81][3610/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.6855 (1.6410)	Prec@1 52.500 (55.874)	Prec@5 88.000 (84.351)
Epoch: [81][3620/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.6695 (1.6411)	Prec@1 57.000 (55.870)	Prec@5 83.500 (84.349)
Epoch: [81][3630/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.5403 (1.6413)	Prec@1 60.000 (55.866)	Prec@5 84.000 (84.345)
Epoch: [81][3640/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.4638 (1.6412)	Prec@1 58.500 (55.868)	Prec@5 86.000 (84.345)
Epoch: [81][3650/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.5233 (1.6412)	Prec@1 57.500 (55.865)	Prec@5 86.000 (84.344)
Epoch: [81][3660/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.5661 (1.6414)	Prec@1 57.000 (55.860)	Prec@5 84.000 (84.342)
Epoch: [81][3670/9018]	Time 0.603 (0.620)	Data 0.001 (0.001)	Loss 1.7052 (1.6413)	Prec@1 49.500 (55.861)	Prec@5 81.500 (84.340)
Epoch: [81][3680/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.6971 (1.6414)	Prec@1 57.000 (55.861)	Prec@5 82.000 (84.341)
Epoch: [81][3690/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.7964 (1.6413)	Prec@1 54.000 (55.866)	Prec@5 82.000 (84.342)
Epoch: [81][3700/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.4899 (1.6413)	Prec@1 61.500 (55.863)	Prec@5 89.000 (84.342)
Epoch: [81][3710/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.5333 (1.6417)	Prec@1 60.500 (55.855)	Prec@5 87.000 (84.338)
Epoch: [81][3720/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 1.5300 (1.6419)	Prec@1 60.000 (55.850)	Prec@5 84.000 (84.333)
Epoch: [81][3730/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.7153 (1.6420)	Prec@1 53.000 (55.849)	Prec@5 82.500 (84.330)
Epoch: [81][3740/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.5544 (1.6420)	Prec@1 56.500 (55.849)	Prec@5 85.500 (84.334)
Epoch: [81][3750/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.5928 (1.6420)	Prec@1 58.500 (55.851)	Prec@5 85.500 (84.336)
Epoch: [81][3760/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.6873 (1.6420)	Prec@1 54.000 (55.852)	Prec@5 83.000 (84.333)
Epoch: [81][3770/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.7166 (1.6420)	Prec@1 54.000 (55.855)	Prec@5 84.000 (84.335)
Epoch: [81][3780/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.4928 (1.6420)	Prec@1 62.500 (55.852)	Prec@5 84.500 (84.334)
Epoch: [81][3790/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.6832 (1.6421)	Prec@1 55.000 (55.850)	Prec@5 82.500 (84.333)
Epoch: [81][3800/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.5109 (1.6420)	Prec@1 60.500 (55.856)	Prec@5 86.000 (84.335)
Epoch: [81][3810/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.5272 (1.6419)	Prec@1 61.000 (55.854)	Prec@5 85.500 (84.336)
Epoch: [81][3820/9018]	Time 0.748 (0.620)	Data 0.001 (0.001)	Loss 1.5498 (1.6418)	Prec@1 56.000 (55.857)	Prec@5 85.000 (84.338)
Epoch: [81][3830/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.7216 (1.6418)	Prec@1 51.500 (55.854)	Prec@5 83.500 (84.338)
Epoch: [81][3840/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.5698 (1.6419)	Prec@1 58.000 (55.853)	Prec@5 84.500 (84.334)
Epoch: [81][3850/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5743 (1.6419)	Prec@1 56.500 (55.853)	Prec@5 88.000 (84.338)
Epoch: [81][3860/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.8734 (1.6422)	Prec@1 54.000 (55.845)	Prec@5 81.000 (84.332)
Epoch: [81][3870/9018]	Time 0.751 (0.620)	Data 0.001 (0.001)	Loss 1.8270 (1.6421)	Prec@1 48.000 (55.844)	Prec@5 81.500 (84.334)
Epoch: [81][3880/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.5439 (1.6422)	Prec@1 56.500 (55.844)	Prec@5 86.500 (84.334)
Epoch: [81][3890/9018]	Time 0.620 (0.620)	Data 0.001 (0.001)	Loss 1.7057 (1.6422)	Prec@1 54.000 (55.843)	Prec@5 83.000 (84.333)
Epoch: [81][3900/9018]	Time 0.619 (0.620)	Data 0.001 (0.001)	Loss 1.9315 (1.6424)	Prec@1 50.000 (55.839)	Prec@5 76.500 (84.331)
Epoch: [81][3910/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.7988 (1.6424)	Prec@1 54.500 (55.840)	Prec@5 81.500 (84.329)
Epoch: [81][3920/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.7332 (1.6423)	Prec@1 52.500 (55.843)	Prec@5 82.500 (84.332)
Epoch: [81][3930/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.5047 (1.6423)	Prec@1 56.000 (55.844)	Prec@5 88.000 (84.336)
Epoch: [81][3940/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.6856 (1.6422)	Prec@1 55.500 (55.843)	Prec@5 84.500 (84.336)
Epoch: [81][3950/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.6995 (1.6423)	Prec@1 54.000 (55.839)	Prec@5 84.000 (84.336)
Epoch: [81][3960/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.6077 (1.6424)	Prec@1 58.500 (55.843)	Prec@5 84.500 (84.336)
Epoch: [81][3970/9018]	Time 0.622 (0.620)	Data 0.001 (0.001)	Loss 1.8262 (1.6424)	Prec@1 52.500 (55.843)	Prec@5 82.500 (84.338)
Epoch: [81][3980/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.8543 (1.6425)	Prec@1 53.000 (55.841)	Prec@5 79.500 (84.336)
Epoch: [81][3990/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.7022 (1.6427)	Prec@1 54.500 (55.837)	Prec@5 83.500 (84.333)
Epoch: [81][4000/9018]	Time 0.622 (0.620)	Data 0.001 (0.001)	Loss 1.6104 (1.6427)	Prec@1 58.500 (55.835)	Prec@5 83.000 (84.332)
Epoch: [81][4010/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6429 (1.6427)	Prec@1 56.000 (55.837)	Prec@5 84.500 (84.334)
Epoch: [81][4020/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.7184 (1.6427)	Prec@1 54.000 (55.835)	Prec@5 84.000 (84.334)
Epoch: [81][4030/9018]	Time 0.620 (0.620)	Data 0.001 (0.001)	Loss 1.8518 (1.6427)	Prec@1 49.000 (55.835)	Prec@5 83.000 (84.337)
Epoch: [81][4040/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.7420 (1.6428)	Prec@1 53.000 (55.835)	Prec@5 80.500 (84.334)
Epoch: [81][4050/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6550 (1.6428)	Prec@1 56.000 (55.835)	Prec@5 89.000 (84.334)
Epoch: [81][4060/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.7618 (1.6429)	Prec@1 54.500 (55.837)	Prec@5 81.000 (84.333)
Epoch: [81][4070/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.7994 (1.6429)	Prec@1 53.500 (55.836)	Prec@5 81.500 (84.332)
Epoch: [81][4080/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.7260 (1.6430)	Prec@1 54.000 (55.836)	Prec@5 81.000 (84.328)
Epoch: [81][4090/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.7690 (1.6431)	Prec@1 52.000 (55.834)	Prec@5 84.500 (84.326)
Epoch: [81][4100/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.7078 (1.6433)	Prec@1 52.500 (55.831)	Prec@5 83.500 (84.322)
Epoch: [81][4110/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 1.6707 (1.6433)	Prec@1 52.500 (55.829)	Prec@5 82.000 (84.322)
Epoch: [81][4120/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.5053 (1.6433)	Prec@1 60.500 (55.828)	Prec@5 84.000 (84.322)
Epoch: [81][4130/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.7238 (1.6434)	Prec@1 55.000 (55.826)	Prec@5 82.000 (84.321)
Epoch: [81][4140/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 1.7711 (1.6434)	Prec@1 59.500 (55.826)	Prec@5 81.000 (84.321)
Epoch: [81][4150/9018]	Time 0.723 (0.620)	Data 0.001 (0.001)	Loss 1.4836 (1.6433)	Prec@1 60.500 (55.829)	Prec@5 84.000 (84.323)
Epoch: [81][4160/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 1.6597 (1.6434)	Prec@1 52.500 (55.830)	Prec@5 85.000 (84.323)
Epoch: [81][4170/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.7229 (1.6434)	Prec@1 55.000 (55.829)	Prec@5 83.000 (84.324)
Epoch: [81][4180/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.5171 (1.6434)	Prec@1 58.500 (55.825)	Prec@5 89.000 (84.324)
Epoch: [81][4190/9018]	Time 0.622 (0.620)	Data 0.001 (0.001)	Loss 1.8203 (1.6437)	Prec@1 49.500 (55.820)	Prec@5 81.500 (84.319)
Epoch: [81][4200/9018]	Time 0.725 (0.620)	Data 0.001 (0.001)	Loss 1.6093 (1.6437)	Prec@1 56.500 (55.818)	Prec@5 88.000 (84.318)
Epoch: [81][4210/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.8286 (1.6437)	Prec@1 50.500 (55.819)	Prec@5 82.000 (84.320)
Epoch: [81][4220/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.5327 (1.6436)	Prec@1 58.000 (55.821)	Prec@5 87.000 (84.322)
Epoch: [81][4230/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.6156 (1.6436)	Prec@1 53.500 (55.822)	Prec@5 84.500 (84.323)
Epoch: [81][4240/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.8195 (1.6439)	Prec@1 52.000 (55.816)	Prec@5 81.500 (84.320)
Epoch: [81][4250/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6419 (1.6436)	Prec@1 60.000 (55.822)	Prec@5 85.500 (84.324)
Epoch: [81][4260/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 1.5118 (1.6437)	Prec@1 56.500 (55.822)	Prec@5 89.000 (84.322)
Epoch: [81][4270/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.6714 (1.6436)	Prec@1 54.500 (55.823)	Prec@5 86.000 (84.322)
Epoch: [81][4280/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.5842 (1.6437)	Prec@1 58.000 (55.822)	Prec@5 85.000 (84.317)
Epoch: [81][4290/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6513 (1.6439)	Prec@1 54.500 (55.816)	Prec@5 84.000 (84.312)
Epoch: [81][4300/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.6650 (1.6440)	Prec@1 53.000 (55.813)	Prec@5 87.500 (84.310)
Epoch: [81][4310/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.8034 (1.6440)	Prec@1 57.500 (55.815)	Prec@5 82.500 (84.309)
Epoch: [81][4320/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.8473 (1.6438)	Prec@1 52.500 (55.818)	Prec@5 82.500 (84.312)
Epoch: [81][4330/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6512 (1.6439)	Prec@1 57.000 (55.817)	Prec@5 86.500 (84.310)
Epoch: [81][4340/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.6714 (1.6440)	Prec@1 54.500 (55.815)	Prec@5 84.000 (84.310)
Epoch: [81][4350/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.5780 (1.6441)	Prec@1 58.000 (55.816)	Prec@5 84.500 (84.308)
Epoch: [81][4360/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.7350 (1.6442)	Prec@1 52.500 (55.812)	Prec@5 82.500 (84.306)
Epoch: [81][4370/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.8515 (1.6444)	Prec@1 50.000 (55.808)	Prec@5 83.000 (84.302)
Epoch: [81][4380/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.4737 (1.6445)	Prec@1 59.500 (55.806)	Prec@5 89.500 (84.301)
Epoch: [81][4390/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.6362 (1.6444)	Prec@1 57.000 (55.807)	Prec@5 84.500 (84.301)
Epoch: [81][4400/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.7460 (1.6444)	Prec@1 54.000 (55.810)	Prec@5 83.000 (84.302)
Epoch: [81][4410/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.6961 (1.6444)	Prec@1 56.500 (55.808)	Prec@5 83.500 (84.302)
Epoch: [81][4420/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5776 (1.6445)	Prec@1 57.500 (55.805)	Prec@5 86.000 (84.300)
Epoch: [81][4430/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.6134 (1.6445)	Prec@1 55.500 (55.803)	Prec@5 84.000 (84.299)
Epoch: [81][4440/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.6189 (1.6445)	Prec@1 57.000 (55.808)	Prec@5 85.500 (84.300)
Epoch: [81][4450/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 1.6315 (1.6444)	Prec@1 55.500 (55.810)	Prec@5 86.500 (84.305)
Epoch: [81][4460/9018]	Time 0.623 (0.620)	Data 0.001 (0.001)	Loss 1.8051 (1.6447)	Prec@1 54.500 (55.806)	Prec@5 81.000 (84.300)
Epoch: [81][4470/9018]	Time 0.618 (0.620)	Data 0.001 (0.001)	Loss 1.7099 (1.6446)	Prec@1 55.500 (55.805)	Prec@5 81.000 (84.300)
Epoch: [81][4480/9018]	Time 0.743 (0.620)	Data 0.001 (0.001)	Loss 1.6793 (1.6446)	Prec@1 54.500 (55.806)	Prec@5 84.000 (84.300)
Epoch: [81][4490/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.4730 (1.6447)	Prec@1 63.500 (55.803)	Prec@5 87.500 (84.300)
Epoch: [81][4500/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.7207 (1.6449)	Prec@1 53.500 (55.798)	Prec@5 85.000 (84.296)
Epoch: [81][4510/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.5114 (1.6449)	Prec@1 62.000 (55.799)	Prec@5 87.500 (84.298)
Epoch: [81][4520/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6025 (1.6448)	Prec@1 56.000 (55.801)	Prec@5 84.500 (84.302)
Epoch: [81][4530/9018]	Time 0.755 (0.620)	Data 0.001 (0.001)	Loss 1.8216 (1.6448)	Prec@1 54.000 (55.802)	Prec@5 81.500 (84.300)
Epoch: [81][4540/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 1.7154 (1.6448)	Prec@1 53.500 (55.802)	Prec@5 80.500 (84.302)
Epoch: [81][4550/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.4315 (1.6448)	Prec@1 65.000 (55.801)	Prec@5 87.000 (84.302)
Epoch: [81][4560/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.8185 (1.6447)	Prec@1 55.000 (55.801)	Prec@5 79.000 (84.303)
Epoch: [81][4570/9018]	Time 0.622 (0.620)	Data 0.001 (0.001)	Loss 1.6068 (1.6447)	Prec@1 57.500 (55.802)	Prec@5 87.500 (84.302)
Epoch: [81][4580/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.6911 (1.6449)	Prec@1 57.000 (55.800)	Prec@5 82.500 (84.301)
Epoch: [81][4590/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.6554 (1.6448)	Prec@1 58.500 (55.801)	Prec@5 82.500 (84.299)
Epoch: [81][4600/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 1.5535 (1.6449)	Prec@1 56.500 (55.798)	Prec@5 83.500 (84.298)
Epoch: [81][4610/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.5402 (1.6450)	Prec@1 57.000 (55.796)	Prec@5 86.500 (84.299)
Epoch: [81][4620/9018]	Time 0.619 (0.620)	Data 0.001 (0.001)	Loss 1.7058 (1.6450)	Prec@1 51.000 (55.797)	Prec@5 82.500 (84.298)
Epoch: [81][4630/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5496 (1.6450)	Prec@1 57.000 (55.796)	Prec@5 86.000 (84.299)
Epoch: [81][4640/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.7806 (1.6450)	Prec@1 54.000 (55.795)	Prec@5 82.000 (84.298)
Epoch: [81][4650/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.7571 (1.6451)	Prec@1 53.500 (55.792)	Prec@5 84.000 (84.298)
Epoch: [81][4660/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.5813 (1.6450)	Prec@1 59.000 (55.797)	Prec@5 85.500 (84.302)
Epoch: [81][4670/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 1.8344 (1.6450)	Prec@1 51.000 (55.796)	Prec@5 79.000 (84.302)
Epoch: [81][4680/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.9936 (1.6451)	Prec@1 54.000 (55.792)	Prec@5 78.500 (84.300)
Epoch: [81][4690/9018]	Time 0.618 (0.620)	Data 0.001 (0.001)	Loss 1.6049 (1.6450)	Prec@1 60.500 (55.799)	Prec@5 85.000 (84.302)
Epoch: [81][4700/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.7801 (1.6449)	Prec@1 51.000 (55.799)	Prec@5 81.000 (84.302)
Epoch: [81][4710/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.7651 (1.6450)	Prec@1 54.000 (55.798)	Prec@5 82.000 (84.303)
Epoch: [81][4720/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.8272 (1.6450)	Prec@1 50.500 (55.796)	Prec@5 80.500 (84.302)
Epoch: [81][4730/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.6603 (1.6451)	Prec@1 56.000 (55.797)	Prec@5 84.500 (84.302)
Epoch: [81][4740/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.6335 (1.6451)	Prec@1 57.500 (55.796)	Prec@5 83.500 (84.302)
Epoch: [81][4750/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.5450 (1.6451)	Prec@1 57.500 (55.797)	Prec@5 86.500 (84.301)
Epoch: [81][4760/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.4977 (1.6451)	Prec@1 58.000 (55.796)	Prec@5 86.000 (84.301)
Epoch: [81][4770/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6525 (1.6451)	Prec@1 59.000 (55.795)	Prec@5 84.000 (84.302)
Epoch: [81][4780/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.7341 (1.6451)	Prec@1 54.500 (55.795)	Prec@5 81.500 (84.303)
Epoch: [81][4790/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.6166 (1.6450)	Prec@1 59.000 (55.796)	Prec@5 85.500 (84.305)
Epoch: [81][4800/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.7219 (1.6449)	Prec@1 55.500 (55.800)	Prec@5 84.000 (84.306)
Epoch: [81][4810/9018]	Time 0.694 (0.620)	Data 0.001 (0.001)	Loss 1.6620 (1.6449)	Prec@1 52.000 (55.801)	Prec@5 87.000 (84.309)
Epoch: [81][4820/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.4776 (1.6448)	Prec@1 60.500 (55.804)	Prec@5 85.500 (84.310)
Epoch: [81][4830/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5763 (1.6448)	Prec@1 55.500 (55.807)	Prec@5 86.500 (84.309)
Epoch: [81][4840/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.4917 (1.6447)	Prec@1 60.500 (55.811)	Prec@5 87.500 (84.309)
Epoch: [81][4850/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.7085 (1.6447)	Prec@1 53.500 (55.809)	Prec@5 83.000 (84.308)
Epoch: [81][4860/9018]	Time 0.736 (0.620)	Data 0.001 (0.001)	Loss 1.6378 (1.6448)	Prec@1 54.000 (55.804)	Prec@5 81.000 (84.306)
Epoch: [81][4870/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.7073 (1.6449)	Prec@1 54.500 (55.804)	Prec@5 85.000 (84.304)
Epoch: [81][4880/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.6223 (1.6449)	Prec@1 55.500 (55.807)	Prec@5 84.000 (84.304)
Epoch: [81][4890/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.7930 (1.6448)	Prec@1 50.500 (55.808)	Prec@5 80.500 (84.304)
Epoch: [81][4900/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.7576 (1.6449)	Prec@1 54.000 (55.807)	Prec@5 85.000 (84.303)
Epoch: [81][4910/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.7035 (1.6449)	Prec@1 50.000 (55.805)	Prec@5 85.000 (84.304)
Epoch: [81][4920/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.4014 (1.6450)	Prec@1 60.500 (55.803)	Prec@5 88.000 (84.302)
Epoch: [81][4930/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.7850 (1.6452)	Prec@1 50.500 (55.801)	Prec@5 81.500 (84.296)
Epoch: [81][4940/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 1.7904 (1.6453)	Prec@1 52.000 (55.798)	Prec@5 79.500 (84.295)
Epoch: [81][4950/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.6445 (1.6452)	Prec@1 60.000 (55.800)	Prec@5 84.500 (84.296)
Epoch: [81][4960/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.7188 (1.6452)	Prec@1 54.500 (55.800)	Prec@5 80.500 (84.296)
Epoch: [81][4970/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.5917 (1.6452)	Prec@1 53.500 (55.798)	Prec@5 88.000 (84.297)
Epoch: [81][4980/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.5375 (1.6452)	Prec@1 60.000 (55.798)	Prec@5 86.000 (84.297)
Epoch: [81][4990/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.6951 (1.6452)	Prec@1 53.000 (55.797)	Prec@5 84.000 (84.298)
Epoch: [81][5000/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6505 (1.6453)	Prec@1 55.500 (55.796)	Prec@5 84.500 (84.297)
Epoch: [81][5010/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6607 (1.6453)	Prec@1 53.000 (55.793)	Prec@5 83.000 (84.297)
Epoch: [81][5020/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.6675 (1.6452)	Prec@1 50.500 (55.798)	Prec@5 82.500 (84.300)
Epoch: [81][5030/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.6844 (1.6451)	Prec@1 56.500 (55.800)	Prec@5 80.500 (84.301)
Epoch: [81][5040/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5763 (1.6450)	Prec@1 59.500 (55.803)	Prec@5 87.500 (84.303)
Epoch: [81][5050/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.8964 (1.6451)	Prec@1 53.500 (55.803)	Prec@5 79.500 (84.301)
Epoch: [81][5060/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.8122 (1.6451)	Prec@1 53.500 (55.799)	Prec@5 81.500 (84.299)
Epoch: [81][5070/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 1.9239 (1.6452)	Prec@1 46.500 (55.799)	Prec@5 81.500 (84.298)
Epoch: [81][5080/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.6804 (1.6452)	Prec@1 55.500 (55.800)	Prec@5 82.000 (84.296)
Epoch: [81][5090/9018]	Time 0.618 (0.620)	Data 0.001 (0.001)	Loss 1.7217 (1.6452)	Prec@1 51.500 (55.802)	Prec@5 82.000 (84.295)
Epoch: [81][5100/9018]	Time 0.620 (0.620)	Data 0.001 (0.001)	Loss 1.6892 (1.6453)	Prec@1 55.500 (55.800)	Prec@5 85.000 (84.296)
Epoch: [81][5110/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.6336 (1.6453)	Prec@1 56.500 (55.801)	Prec@5 86.000 (84.295)
Epoch: [81][5120/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.8590 (1.6453)	Prec@1 50.500 (55.799)	Prec@5 81.000 (84.294)
Epoch: [81][5130/9018]	Time 0.604 (0.620)	Data 0.001 (0.001)	Loss 1.7449 (1.6454)	Prec@1 56.000 (55.798)	Prec@5 84.000 (84.294)
Epoch: [81][5140/9018]	Time 0.730 (0.620)	Data 0.001 (0.001)	Loss 1.7189 (1.6454)	Prec@1 54.000 (55.798)	Prec@5 80.000 (84.295)
Epoch: [81][5150/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.5088 (1.6454)	Prec@1 57.500 (55.797)	Prec@5 89.500 (84.295)
Epoch: [81][5160/9018]	Time 0.619 (0.620)	Data 0.001 (0.001)	Loss 1.6827 (1.6454)	Prec@1 53.500 (55.795)	Prec@5 85.500 (84.296)
Epoch: [81][5170/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.8105 (1.6455)	Prec@1 48.000 (55.791)	Prec@5 83.500 (84.295)
Epoch: [81][5180/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6983 (1.6456)	Prec@1 57.500 (55.792)	Prec@5 82.500 (84.294)
Epoch: [81][5190/9018]	Time 0.726 (0.620)	Data 0.001 (0.001)	Loss 1.9109 (1.6455)	Prec@1 48.500 (55.791)	Prec@5 78.500 (84.296)
Epoch: [81][5200/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.7512 (1.6455)	Prec@1 53.000 (55.792)	Prec@5 82.500 (84.296)
Epoch: [81][5210/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.7541 (1.6454)	Prec@1 53.000 (55.791)	Prec@5 82.500 (84.296)
Epoch: [81][5220/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6285 (1.6455)	Prec@1 53.000 (55.785)	Prec@5 85.000 (84.295)
Epoch: [81][5230/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.5135 (1.6455)	Prec@1 58.000 (55.785)	Prec@5 85.500 (84.296)
Epoch: [81][5240/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6459 (1.6455)	Prec@1 55.000 (55.785)	Prec@5 83.500 (84.297)
Epoch: [81][5250/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.6820 (1.6455)	Prec@1 50.000 (55.788)	Prec@5 79.000 (84.295)
Epoch: [81][5260/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.4836 (1.6454)	Prec@1 57.000 (55.789)	Prec@5 91.500 (84.298)
Epoch: [81][5270/9018]	Time 0.624 (0.620)	Data 0.001 (0.001)	Loss 1.3951 (1.6455)	Prec@1 61.500 (55.789)	Prec@5 86.500 (84.297)
Epoch: [81][5280/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6426 (1.6455)	Prec@1 55.000 (55.789)	Prec@5 86.000 (84.297)
Epoch: [81][5290/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5450 (1.6455)	Prec@1 54.500 (55.787)	Prec@5 89.000 (84.296)
Epoch: [81][5300/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.6983 (1.6456)	Prec@1 53.500 (55.785)	Prec@5 87.000 (84.296)
Epoch: [81][5310/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 1.7362 (1.6455)	Prec@1 54.500 (55.785)	Prec@5 81.500 (84.298)
Epoch: [81][5320/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.6743 (1.6456)	Prec@1 53.000 (55.783)	Prec@5 84.500 (84.298)
Epoch: [81][5330/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.3574 (1.6455)	Prec@1 60.500 (55.784)	Prec@5 87.500 (84.297)
Epoch: [81][5340/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.8055 (1.6457)	Prec@1 52.500 (55.782)	Prec@5 84.500 (84.296)
Epoch: [81][5350/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6498 (1.6457)	Prec@1 58.500 (55.781)	Prec@5 84.000 (84.296)
Epoch: [81][5360/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.6405 (1.6458)	Prec@1 52.500 (55.777)	Prec@5 83.000 (84.295)
Epoch: [81][5370/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.6940 (1.6457)	Prec@1 56.000 (55.780)	Prec@5 83.500 (84.296)
Epoch: [81][5380/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.7042 (1.6458)	Prec@1 51.000 (55.778)	Prec@5 84.000 (84.295)
Epoch: [81][5390/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.6239 (1.6457)	Prec@1 53.000 (55.777)	Prec@5 87.000 (84.299)
Epoch: [81][5400/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.8650 (1.6456)	Prec@1 47.500 (55.777)	Prec@5 81.000 (84.300)
Epoch: [81][5410/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.7048 (1.6456)	Prec@1 52.500 (55.775)	Prec@5 84.000 (84.300)
Epoch: [81][5420/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.8637 (1.6456)	Prec@1 50.500 (55.776)	Prec@5 77.500 (84.300)
Epoch: [81][5430/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.7851 (1.6458)	Prec@1 51.000 (55.770)	Prec@5 81.500 (84.297)
Epoch: [81][5440/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.8134 (1.6458)	Prec@1 53.000 (55.772)	Prec@5 82.500 (84.297)
Epoch: [81][5450/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.4795 (1.6456)	Prec@1 60.000 (55.774)	Prec@5 88.500 (84.300)
Epoch: [81][5460/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 1.7762 (1.6456)	Prec@1 54.000 (55.776)	Prec@5 82.000 (84.301)
Epoch: [81][5470/9018]	Time 0.727 (0.620)	Data 0.001 (0.001)	Loss 1.6424 (1.6456)	Prec@1 55.500 (55.775)	Prec@5 83.500 (84.302)
Epoch: [81][5480/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.7560 (1.6456)	Prec@1 51.000 (55.775)	Prec@5 82.000 (84.300)
Epoch: [81][5490/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.4715 (1.6456)	Prec@1 60.000 (55.775)	Prec@5 85.500 (84.301)
Epoch: [81][5500/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6487 (1.6456)	Prec@1 54.500 (55.772)	Prec@5 81.500 (84.301)
Epoch: [81][5510/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.8575 (1.6456)	Prec@1 50.500 (55.772)	Prec@5 86.000 (84.302)
Epoch: [81][5520/9018]	Time 0.721 (0.620)	Data 0.001 (0.001)	Loss 1.6974 (1.6456)	Prec@1 54.500 (55.775)	Prec@5 83.500 (84.302)
Epoch: [81][5530/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.7320 (1.6456)	Prec@1 52.000 (55.773)	Prec@5 84.000 (84.300)
Epoch: [81][5540/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 1.5589 (1.6457)	Prec@1 61.000 (55.773)	Prec@5 87.000 (84.299)
Epoch: [81][5550/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.6678 (1.6457)	Prec@1 48.500 (55.772)	Prec@5 84.000 (84.300)
Epoch: [81][5560/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.6664 (1.6457)	Prec@1 57.000 (55.773)	Prec@5 85.000 (84.301)
Epoch: [81][5570/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.4876 (1.6456)	Prec@1 61.500 (55.777)	Prec@5 88.500 (84.303)
Epoch: [81][5580/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.9095 (1.6456)	Prec@1 48.000 (55.775)	Prec@5 78.500 (84.300)
Epoch: [81][5590/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6505 (1.6456)	Prec@1 52.000 (55.775)	Prec@5 85.000 (84.299)
Epoch: [81][5600/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.7698 (1.6457)	Prec@1 51.000 (55.773)	Prec@5 84.500 (84.299)
Epoch: [81][5610/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.8892 (1.6457)	Prec@1 47.500 (55.772)	Prec@5 82.000 (84.299)
Epoch: [81][5620/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.7556 (1.6457)	Prec@1 57.000 (55.770)	Prec@5 80.500 (84.298)
Epoch: [81][5630/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.5910 (1.6457)	Prec@1 57.500 (55.773)	Prec@5 85.000 (84.298)
Epoch: [81][5640/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 1.5153 (1.6456)	Prec@1 58.500 (55.774)	Prec@5 85.500 (84.299)
Epoch: [81][5650/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.7662 (1.6456)	Prec@1 56.000 (55.773)	Prec@5 81.500 (84.301)
Epoch: [81][5660/9018]	Time 0.618 (0.620)	Data 0.001 (0.001)	Loss 1.7436 (1.6457)	Prec@1 56.500 (55.771)	Prec@5 85.500 (84.300)
Epoch: [81][5670/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.5714 (1.6458)	Prec@1 57.500 (55.771)	Prec@5 86.000 (84.299)
Epoch: [81][5680/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.5431 (1.6458)	Prec@1 59.000 (55.771)	Prec@5 85.000 (84.301)
Epoch: [81][5690/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.4482 (1.6457)	Prec@1 58.500 (55.775)	Prec@5 89.500 (84.302)
Epoch: [81][5700/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.6305 (1.6457)	Prec@1 54.500 (55.775)	Prec@5 86.500 (84.303)
Epoch: [81][5710/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6907 (1.6458)	Prec@1 58.500 (55.774)	Prec@5 83.000 (84.302)
Epoch: [81][5720/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.5385 (1.6458)	Prec@1 60.000 (55.775)	Prec@5 86.000 (84.301)
Epoch: [81][5730/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6990 (1.6458)	Prec@1 57.000 (55.779)	Prec@5 86.000 (84.300)
Epoch: [81][5740/9018]	Time 0.621 (0.620)	Data 0.001 (0.001)	Loss 1.6748 (1.6458)	Prec@1 55.000 (55.781)	Prec@5 79.000 (84.301)
Epoch: [81][5750/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5671 (1.6458)	Prec@1 57.500 (55.782)	Prec@5 85.500 (84.301)
Epoch: [81][5760/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.7799 (1.6459)	Prec@1 55.000 (55.782)	Prec@5 83.500 (84.299)
Epoch: [81][5770/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.7414 (1.6459)	Prec@1 54.500 (55.778)	Prec@5 79.000 (84.298)
Epoch: [81][5780/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.5468 (1.6460)	Prec@1 58.500 (55.776)	Prec@5 87.500 (84.297)
Epoch: [81][5790/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.7310 (1.6460)	Prec@1 54.000 (55.777)	Prec@5 85.500 (84.299)
Epoch: [81][5800/9018]	Time 0.713 (0.620)	Data 0.001 (0.001)	Loss 1.6402 (1.6460)	Prec@1 56.000 (55.776)	Prec@5 85.500 (84.299)
Epoch: [81][5810/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.6274 (1.6460)	Prec@1 53.500 (55.775)	Prec@5 84.000 (84.298)
Epoch: [81][5820/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.6506 (1.6460)	Prec@1 55.000 (55.774)	Prec@5 83.500 (84.297)
Epoch: [81][5830/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.6700 (1.6462)	Prec@1 57.000 (55.771)	Prec@5 85.500 (84.297)
Epoch: [81][5840/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.9410 (1.6462)	Prec@1 51.000 (55.773)	Prec@5 82.500 (84.295)
Epoch: [81][5850/9018]	Time 0.727 (0.620)	Data 0.001 (0.001)	Loss 1.7397 (1.6461)	Prec@1 56.000 (55.773)	Prec@5 82.500 (84.297)
Epoch: [81][5860/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.7121 (1.6462)	Prec@1 53.000 (55.770)	Prec@5 81.500 (84.295)
Epoch: [81][5870/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.7559 (1.6462)	Prec@1 54.000 (55.771)	Prec@5 84.000 (84.296)
Epoch: [81][5880/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5653 (1.6462)	Prec@1 56.500 (55.771)	Prec@5 89.000 (84.296)
Epoch: [81][5890/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.7702 (1.6463)	Prec@1 53.000 (55.770)	Prec@5 80.500 (84.295)
Epoch: [81][5900/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.8414 (1.6463)	Prec@1 55.000 (55.770)	Prec@5 83.000 (84.294)
Epoch: [81][5910/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6795 (1.6463)	Prec@1 55.000 (55.770)	Prec@5 83.500 (84.293)
Epoch: [81][5920/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.5395 (1.6463)	Prec@1 59.000 (55.772)	Prec@5 85.500 (84.295)
Epoch: [81][5930/9018]	Time 0.620 (0.620)	Data 0.001 (0.001)	Loss 1.7219 (1.6462)	Prec@1 59.500 (55.775)	Prec@5 82.000 (84.297)
Epoch: [81][5940/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.7363 (1.6461)	Prec@1 55.500 (55.779)	Prec@5 80.500 (84.298)
Epoch: [81][5950/9018]	Time 0.618 (0.620)	Data 0.001 (0.001)	Loss 1.6824 (1.6462)	Prec@1 58.000 (55.778)	Prec@5 83.000 (84.298)
Epoch: [81][5960/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.7583 (1.6462)	Prec@1 47.000 (55.776)	Prec@5 84.000 (84.298)
Epoch: [81][5970/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.5379 (1.6461)	Prec@1 59.500 (55.779)	Prec@5 85.000 (84.300)
Epoch: [81][5980/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.6063 (1.6461)	Prec@1 56.000 (55.778)	Prec@5 84.500 (84.299)
Epoch: [81][5990/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.5219 (1.6461)	Prec@1 58.000 (55.779)	Prec@5 83.500 (84.299)
Epoch: [81][6000/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.5616 (1.6460)	Prec@1 55.000 (55.778)	Prec@5 85.000 (84.300)
Epoch: [81][6010/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.4860 (1.6460)	Prec@1 62.500 (55.777)	Prec@5 86.000 (84.300)
Epoch: [81][6020/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.8175 (1.6461)	Prec@1 53.000 (55.776)	Prec@5 83.000 (84.299)
Epoch: [81][6030/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5169 (1.6460)	Prec@1 60.000 (55.775)	Prec@5 87.000 (84.301)
Epoch: [81][6040/9018]	Time 0.619 (0.620)	Data 0.001 (0.001)	Loss 1.5155 (1.6460)	Prec@1 59.000 (55.775)	Prec@5 87.500 (84.301)
Epoch: [81][6050/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6794 (1.6460)	Prec@1 57.000 (55.774)	Prec@5 82.500 (84.300)
Epoch: [81][6060/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.7188 (1.6461)	Prec@1 54.500 (55.774)	Prec@5 79.500 (84.297)
Epoch: [81][6070/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.7986 (1.6462)	Prec@1 53.500 (55.772)	Prec@5 82.500 (84.296)
Epoch: [81][6080/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.6752 (1.6462)	Prec@1 57.500 (55.771)	Prec@5 82.000 (84.295)
Epoch: [81][6090/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.5421 (1.6462)	Prec@1 52.500 (55.769)	Prec@5 88.000 (84.296)
Epoch: [81][6100/9018]	Time 0.604 (0.620)	Data 0.001 (0.001)	Loss 1.6095 (1.6461)	Prec@1 57.500 (55.771)	Prec@5 83.500 (84.296)
Epoch: [81][6110/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.7124 (1.6461)	Prec@1 55.500 (55.770)	Prec@5 83.500 (84.296)
Epoch: [81][6120/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6174 (1.6462)	Prec@1 56.000 (55.769)	Prec@5 88.500 (84.296)
Epoch: [81][6130/9018]	Time 0.723 (0.620)	Data 0.001 (0.001)	Loss 1.7516 (1.6461)	Prec@1 53.500 (55.771)	Prec@5 81.000 (84.295)
Epoch: [81][6140/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.8167 (1.6462)	Prec@1 55.000 (55.767)	Prec@5 81.500 (84.293)
Epoch: [81][6150/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5232 (1.6462)	Prec@1 60.500 (55.765)	Prec@5 85.500 (84.295)
Epoch: [81][6160/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5831 (1.6462)	Prec@1 58.500 (55.766)	Prec@5 83.500 (84.294)
Epoch: [81][6170/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.8679 (1.6463)	Prec@1 49.500 (55.764)	Prec@5 81.000 (84.293)
Epoch: [81][6180/9018]	Time 0.732 (0.620)	Data 0.001 (0.001)	Loss 1.6289 (1.6463)	Prec@1 58.500 (55.763)	Prec@5 84.000 (84.293)
Epoch: [81][6190/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.5676 (1.6463)	Prec@1 56.000 (55.765)	Prec@5 86.500 (84.293)
Epoch: [81][6200/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.7101 (1.6463)	Prec@1 54.000 (55.765)	Prec@5 81.500 (84.295)
Epoch: [81][6210/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.6291 (1.6464)	Prec@1 55.500 (55.762)	Prec@5 83.000 (84.293)
Epoch: [81][6220/9018]	Time 0.608 (0.620)	Data 0.001 (0.001)	Loss 1.8127 (1.6465)	Prec@1 51.000 (55.760)	Prec@5 81.000 (84.292)
Epoch: [81][6230/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 1.8178 (1.6464)	Prec@1 51.000 (55.763)	Prec@5 83.000 (84.294)
Epoch: [81][6240/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.5509 (1.6464)	Prec@1 59.000 (55.762)	Prec@5 86.000 (84.294)
Epoch: [81][6250/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.4956 (1.6464)	Prec@1 57.000 (55.763)	Prec@5 90.500 (84.295)
Epoch: [81][6260/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.5608 (1.6464)	Prec@1 57.000 (55.761)	Prec@5 86.500 (84.295)
Epoch: [81][6270/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.6935 (1.6462)	Prec@1 57.000 (55.764)	Prec@5 82.500 (84.297)
Epoch: [81][6280/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.6850 (1.6463)	Prec@1 56.500 (55.763)	Prec@5 87.000 (84.297)
Epoch: [81][6290/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.5202 (1.6464)	Prec@1 60.500 (55.761)	Prec@5 88.000 (84.296)
Epoch: [81][6300/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 1.6505 (1.6464)	Prec@1 59.500 (55.761)	Prec@5 82.500 (84.296)
Epoch: [81][6310/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6623 (1.6464)	Prec@1 59.000 (55.761)	Prec@5 85.000 (84.295)
Epoch: [81][6320/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.4802 (1.6464)	Prec@1 64.500 (55.762)	Prec@5 85.500 (84.296)
Epoch: [81][6330/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.4331 (1.6464)	Prec@1 58.500 (55.762)	Prec@5 90.500 (84.296)
Epoch: [81][6340/9018]	Time 0.617 (0.620)	Data 0.001 (0.001)	Loss 1.6218 (1.6465)	Prec@1 55.000 (55.760)	Prec@5 83.500 (84.294)
Epoch: [81][6350/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 1.8122 (1.6466)	Prec@1 52.000 (55.761)	Prec@5 82.000 (84.292)
Epoch: [81][6360/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.8345 (1.6467)	Prec@1 51.000 (55.758)	Prec@5 79.500 (84.292)
Epoch: [81][6370/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.6243 (1.6467)	Prec@1 54.500 (55.757)	Prec@5 83.500 (84.292)
Epoch: [81][6380/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.5806 (1.6467)	Prec@1 57.000 (55.756)	Prec@5 84.500 (84.291)
Epoch: [81][6390/9018]	Time 0.620 (0.620)	Data 0.001 (0.001)	Loss 1.7742 (1.6467)	Prec@1 52.500 (55.756)	Prec@5 84.500 (84.293)
Epoch: [81][6400/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.5925 (1.6468)	Prec@1 58.500 (55.755)	Prec@5 87.000 (84.291)
Epoch: [81][6410/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.5684 (1.6466)	Prec@1 54.000 (55.756)	Prec@5 85.000 (84.293)
Epoch: [81][6420/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.7257 (1.6467)	Prec@1 54.000 (55.758)	Prec@5 81.500 (84.292)
Epoch: [81][6430/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.7834 (1.6467)	Prec@1 54.500 (55.758)	Prec@5 80.500 (84.290)
Epoch: [81][6440/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.4769 (1.6467)	Prec@1 59.000 (55.758)	Prec@5 85.000 (84.291)
Epoch: [81][6450/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.6233 (1.6467)	Prec@1 56.500 (55.756)	Prec@5 84.500 (84.291)
Epoch: [81][6460/9018]	Time 0.740 (0.620)	Data 0.001 (0.001)	Loss 1.6701 (1.6466)	Prec@1 49.500 (55.757)	Prec@5 85.000 (84.291)
Epoch: [81][6470/9018]	Time 0.607 (0.620)	Data 0.001 (0.001)	Loss 1.6509 (1.6467)	Prec@1 57.000 (55.756)	Prec@5 86.500 (84.293)
Epoch: [81][6480/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.6770 (1.6467)	Prec@1 56.500 (55.756)	Prec@5 82.500 (84.291)
Epoch: [81][6490/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.4490 (1.6467)	Prec@1 58.000 (55.755)	Prec@5 89.000 (84.291)
Epoch: [81][6500/9018]	Time 0.606 (0.620)	Data 0.001 (0.001)	Loss 1.6890 (1.6466)	Prec@1 53.500 (55.756)	Prec@5 85.000 (84.292)
Epoch: [81][6510/9018]	Time 0.732 (0.620)	Data 0.001 (0.001)	Loss 1.7405 (1.6467)	Prec@1 49.500 (55.754)	Prec@5 84.500 (84.292)
Epoch: [81][6520/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.4167 (1.6466)	Prec@1 62.000 (55.753)	Prec@5 88.000 (84.293)
Epoch: [81][6530/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.6994 (1.6467)	Prec@1 58.500 (55.752)	Prec@5 81.500 (84.292)
Epoch: [81][6540/9018]	Time 0.609 (0.620)	Data 0.001 (0.001)	Loss 1.4818 (1.6468)	Prec@1 57.000 (55.750)	Prec@5 88.500 (84.291)
Epoch: [81][6550/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.6228 (1.6467)	Prec@1 57.500 (55.752)	Prec@5 86.500 (84.293)
Epoch: [81][6560/9018]	Time 0.614 (0.620)	Data 0.001 (0.001)	Loss 1.7844 (1.6468)	Prec@1 49.500 (55.750)	Prec@5 79.000 (84.291)
Epoch: [81][6570/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.6762 (1.6467)	Prec@1 56.000 (55.751)	Prec@5 84.500 (84.290)
Epoch: [81][6580/9018]	Time 0.616 (0.620)	Data 0.001 (0.001)	Loss 1.7091 (1.6467)	Prec@1 54.500 (55.750)	Prec@5 83.500 (84.289)
Epoch: [81][6590/9018]	Time 0.613 (0.620)	Data 0.001 (0.001)	Loss 1.6326 (1.6467)	Prec@1 55.000 (55.750)	Prec@5 81.500 (84.289)
Epoch: [81][6600/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.7337 (1.6468)	Prec@1 52.500 (55.748)	Prec@5 84.500 (84.288)
Epoch: [81][6610/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.6265 (1.6468)	Prec@1 55.500 (55.748)	Prec@5 83.000 (84.288)
Epoch: [81][6620/9018]	Time 0.605 (0.620)	Data 0.001 (0.001)	Loss 1.6849 (1.6468)	Prec@1 56.500 (55.747)	Prec@5 83.000 (84.288)
Epoch: [81][6630/9018]	Time 0.612 (0.620)	Data 0.001 (0.001)	Loss 1.7830 (1.6469)	Prec@1 51.000 (55.745)	Prec@5 80.500 (84.286)
Epoch: [81][6640/9018]	Time 0.620 (0.620)	Data 0.001 (0.001)	Loss 1.4083 (1.6469)	Prec@1 62.000 (55.745)	Prec@5 91.500 (84.287)
Epoch: [81][6650/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.6222 (1.6469)	Prec@1 54.500 (55.745)	Prec@5 85.000 (84.286)
Epoch: [81][6660/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.5389 (1.6469)	Prec@1 58.500 (55.747)	Prec@5 83.500 (84.286)
Epoch: [81][6670/9018]	Time 0.610 (0.620)	Data 0.001 (0.001)	Loss 1.7716 (1.6469)	Prec@1 52.000 (55.745)	Prec@5 85.500 (84.286)
Epoch: [81][6680/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.5216 (1.6469)	Prec@1 59.000 (55.743)	Prec@5 86.500 (84.288)
Epoch: [81][6690/9018]	Time 0.608 (0.619)	Data 0.001 (0.001)	Loss 1.7310 (1.6469)	Prec@1 53.500 (55.742)	Prec@5 83.000 (84.286)
Epoch: [81][6700/9018]	Time 0.615 (0.620)	Data 0.001 (0.001)	Loss 1.6641 (1.6470)	Prec@1 52.000 (55.740)	Prec@5 84.500 (84.285)
Epoch: [81][6710/9018]	Time 0.611 (0.620)	Data 0.001 (0.001)	Loss 1.9322 (1.6471)	Prec@1 54.000 (55.738)	Prec@5 78.000 (84.283)
Epoch: [81][6720/9018]	Time 0.622 (0.620)	Data 0.001 (0.001)	Loss 1.6564 (1.6471)	Prec@1 50.500 (55.738)	Prec@5 86.500 (84.283)
Epoch: [81][6730/9018]	Time 0.595 (0.620)	Data 0.001 (0.001)	Loss 1.5953 (1.6470)	Prec@1 55.500 (55.738)	Prec@5 88.000 (84.284)
Epoch: [81][6740/9018]	Time 0.609 (0.619)	Data 0.001 (0.001)	Loss 1.3932 (1.6470)	Prec@1 63.500 (55.737)	Prec@5 87.500 (84.286)
Epoch: [81][6750/9018]	Time 0.598 (0.619)	Data 0.001 (0.001)	Loss 1.7460 (1.6471)	Prec@1 56.000 (55.735)	Prec@5 82.500 (84.284)
Epoch: [81][6760/9018]	Time 0.596 (0.619)	Data 0.001 (0.001)	Loss 1.7835 (1.6472)	Prec@1 53.000 (55.735)	Prec@5 83.500 (84.283)
Epoch: [81][6770/9018]	Time 0.610 (0.619)	Data 0.001 (0.001)	Loss 1.5266 (1.6471)	Prec@1 57.000 (55.736)	Prec@5 89.000 (84.283)
Epoch: [81][6780/9018]	Time 0.607 (0.619)	Data 0.001 (0.001)	Loss 1.8723 (1.6473)	Prec@1 48.000 (55.732)	Prec@5 81.500 (84.280)
Epoch: [81][6790/9018]	Time 0.722 (0.619)	Data 0.001 (0.001)	Loss 1.7647 (1.6473)	Prec@1 45.000 (55.732)	Prec@5 85.500 (84.280)
Epoch: [81][6800/9018]	Time 0.595 (0.619)	Data 0.001 (0.001)	Loss 1.6058 (1.6473)	Prec@1 56.000 (55.731)	Prec@5 87.000 (84.280)
Epoch: [81][6810/9018]	Time 0.618 (0.619)	Data 0.001 (0.001)	Loss 1.3931 (1.6473)	Prec@1 63.000 (55.731)	Prec@5 89.000 (84.279)
Epoch: [81][6820/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 1.6139 (1.6474)	Prec@1 63.000 (55.732)	Prec@5 83.000 (84.278)
Epoch: [81][6830/9018]	Time 0.608 (0.619)	Data 0.001 (0.001)	Loss 1.8361 (1.6475)	Prec@1 51.500 (55.728)	Prec@5 82.000 (84.277)
Epoch: [81][6840/9018]	Time 0.717 (0.619)	Data 0.001 (0.001)	Loss 1.6040 (1.6475)	Prec@1 59.000 (55.730)	Prec@5 85.000 (84.277)
Epoch: [81][6850/9018]	Time 0.597 (0.619)	Data 0.001 (0.001)	Loss 1.5240 (1.6475)	Prec@1 59.500 (55.729)	Prec@5 87.000 (84.276)
Epoch: [81][6860/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 1.7533 (1.6475)	Prec@1 49.000 (55.731)	Prec@5 86.500 (84.277)
Epoch: [81][6870/9018]	Time 0.613 (0.619)	Data 0.001 (0.001)	Loss 1.6857 (1.6475)	Prec@1 55.500 (55.730)	Prec@5 84.000 (84.277)
Epoch: [81][6880/9018]	Time 0.593 (0.619)	Data 0.001 (0.001)	Loss 1.7578 (1.6475)	Prec@1 56.000 (55.732)	Prec@5 79.000 (84.278)
Epoch: [81][6890/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 1.8488 (1.6475)	Prec@1 51.000 (55.732)	Prec@5 82.500 (84.277)
Epoch: [81][6900/9018]	Time 0.628 (0.619)	Data 0.001 (0.001)	Loss 1.8924 (1.6476)	Prec@1 50.500 (55.731)	Prec@5 80.500 (84.275)
Epoch: [81][6910/9018]	Time 0.601 (0.619)	Data 0.001 (0.001)	Loss 1.9245 (1.6476)	Prec@1 51.500 (55.731)	Prec@5 79.500 (84.277)
Epoch: [81][6920/9018]	Time 0.599 (0.619)	Data 0.001 (0.001)	Loss 1.4792 (1.6476)	Prec@1 59.000 (55.731)	Prec@5 88.500 (84.276)
Epoch: [81][6930/9018]	Time 0.607 (0.619)	Data 0.001 (0.001)	Loss 1.9269 (1.6476)	Prec@1 48.000 (55.728)	Prec@5 81.500 (84.277)
Epoch: [81][6940/9018]	Time 0.597 (0.619)	Data 0.001 (0.001)	Loss 1.5549 (1.6475)	Prec@1 55.000 (55.731)	Prec@5 86.500 (84.279)
Epoch: [81][6950/9018]	Time 0.606 (0.619)	Data 0.001 (0.001)	Loss 1.7286 (1.6477)	Prec@1 54.000 (55.729)	Prec@5 83.000 (84.278)
Epoch: [81][6960/9018]	Time 0.598 (0.619)	Data 0.001 (0.001)	Loss 1.5717 (1.6477)	Prec@1 59.000 (55.729)	Prec@5 88.000 (84.279)
Epoch: [81][6970/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 1.9309 (1.6479)	Prec@1 49.500 (55.725)	Prec@5 80.500 (84.278)
Epoch: [81][6980/9018]	Time 0.590 (0.619)	Data 0.001 (0.001)	Loss 1.7628 (1.6479)	Prec@1 52.000 (55.725)	Prec@5 80.500 (84.278)
Epoch: [81][6990/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 1.6558 (1.6479)	Prec@1 53.500 (55.722)	Prec@5 82.500 (84.277)
Epoch: [81][7000/9018]	Time 0.612 (0.619)	Data 0.001 (0.001)	Loss 1.7763 (1.6479)	Prec@1 55.500 (55.720)	Prec@5 83.500 (84.277)
Epoch: [81][7010/9018]	Time 0.597 (0.619)	Data 0.001 (0.001)	Loss 1.5002 (1.6479)	Prec@1 60.000 (55.721)	Prec@5 89.000 (84.278)
Epoch: [81][7020/9018]	Time 0.601 (0.619)	Data 0.001 (0.001)	Loss 1.8470 (1.6480)	Prec@1 50.000 (55.718)	Prec@5 79.000 (84.277)
Epoch: [81][7030/9018]	Time 0.609 (0.619)	Data 0.001 (0.001)	Loss 1.5953 (1.6479)	Prec@1 60.000 (55.718)	Prec@5 84.500 (84.278)
Epoch: [81][7040/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 1.7887 (1.6480)	Prec@1 52.500 (55.715)	Prec@5 81.000 (84.277)
Epoch: [81][7050/9018]	Time 0.631 (0.619)	Data 0.001 (0.001)	Loss 1.7123 (1.6481)	Prec@1 56.500 (55.714)	Prec@5 83.000 (84.276)
Epoch: [81][7060/9018]	Time 0.604 (0.619)	Data 0.001 (0.001)	Loss 1.7803 (1.6480)	Prec@1 56.500 (55.715)	Prec@5 82.500 (84.278)
Epoch: [81][7070/9018]	Time 0.610 (0.619)	Data 0.001 (0.001)	Loss 1.3800 (1.6481)	Prec@1 61.500 (55.714)	Prec@5 87.500 (84.275)
Epoch: [81][7080/9018]	Time 0.605 (0.619)	Data 0.001 (0.001)	Loss 1.6262 (1.6482)	Prec@1 57.500 (55.713)	Prec@5 86.000 (84.273)
Epoch: [81][7090/9018]	Time 0.606 (0.619)	Data 0.001 (0.001)	Loss 1.5569 (1.6482)	Prec@1 58.000 (55.712)	Prec@5 86.000 (84.272)
Epoch: [81][7100/9018]	Time 0.641 (0.619)	Data 0.001 (0.001)	Loss 1.6798 (1.6483)	Prec@1 54.500 (55.710)	Prec@5 83.000 (84.272)
Epoch: [81][7110/9018]	Time 0.601 (0.619)	Data 0.001 (0.001)	Loss 1.4031 (1.6482)	Prec@1 57.500 (55.710)	Prec@5 91.500 (84.271)
Epoch: [81][7120/9018]	Time 0.712 (0.619)	Data 0.001 (0.001)	Loss 1.6761 (1.6482)	Prec@1 54.500 (55.711)	Prec@5 83.500 (84.271)
Epoch: [81][7130/9018]	Time 0.637 (0.619)	Data 0.001 (0.001)	Loss 1.8918 (1.6484)	Prec@1 52.500 (55.708)	Prec@5 77.000 (84.268)
Epoch: [81][7140/9018]	Time 0.594 (0.619)	Data 0.001 (0.001)	Loss 1.5260 (1.6484)	Prec@1 57.500 (55.707)	Prec@5 87.000 (84.267)
Epoch: [81][7150/9018]	Time 0.618 (0.619)	Data 0.001 (0.001)	Loss 1.5603 (1.6484)	Prec@1 62.000 (55.709)	Prec@5 84.500 (84.269)
Epoch: [81][7160/9018]	Time 0.594 (0.619)	Data 0.001 (0.001)	Loss 1.6239 (1.6484)	Prec@1 53.000 (55.707)	Prec@5 84.000 (84.269)
Epoch: [81][7170/9018]	Time 0.723 (0.619)	Data 0.001 (0.001)	Loss 1.6254 (1.6485)	Prec@1 55.000 (55.705)	Prec@5 86.000 (84.267)
Epoch: [81][7180/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 1.5357 (1.6485)	Prec@1 56.500 (55.704)	Prec@5 87.500 (84.267)
Epoch: [81][7190/9018]	Time 0.601 (0.619)	Data 0.001 (0.001)	Loss 1.7065 (1.6486)	Prec@1 50.500 (55.703)	Prec@5 83.500 (84.265)
Epoch: [81][7200/9018]	Time 0.631 (0.619)	Data 0.001 (0.001)	Loss 1.8608 (1.6486)	Prec@1 53.000 (55.702)	Prec@5 82.500 (84.266)
Epoch: [81][7210/9018]	Time 0.593 (0.619)	Data 0.001 (0.001)	Loss 1.5384 (1.6486)	Prec@1 58.000 (55.702)	Prec@5 87.500 (84.266)
Epoch: [81][7220/9018]	Time 0.604 (0.619)	Data 0.001 (0.001)	Loss 1.6258 (1.6486)	Prec@1 55.500 (55.701)	Prec@5 81.500 (84.266)
Epoch: [81][7230/9018]	Time 0.594 (0.619)	Data 0.001 (0.001)	Loss 1.9344 (1.6487)	Prec@1 52.000 (55.699)	Prec@5 78.500 (84.266)
Epoch: [81][7240/9018]	Time 0.593 (0.619)	Data 0.001 (0.001)	Loss 1.6706 (1.6487)	Prec@1 57.000 (55.697)	Prec@5 84.000 (84.265)
Epoch: [81][7250/9018]	Time 0.601 (0.619)	Data 0.001 (0.001)	Loss 1.5984 (1.6488)	Prec@1 55.500 (55.696)	Prec@5 85.500 (84.266)
Epoch: [81][7260/9018]	Time 0.626 (0.619)	Data 0.001 (0.001)	Loss 1.8242 (1.6488)	Prec@1 55.500 (55.694)	Prec@5 81.000 (84.264)
Epoch: [81][7270/9018]	Time 0.594 (0.619)	Data 0.001 (0.001)	Loss 1.5283 (1.6488)	Prec@1 61.000 (55.697)	Prec@5 87.000 (84.265)
Epoch: [81][7280/9018]	Time 0.593 (0.619)	Data 0.001 (0.001)	Loss 1.5954 (1.6488)	Prec@1 58.000 (55.698)	Prec@5 84.000 (84.266)
Epoch: [81][7290/9018]	Time 0.598 (0.619)	Data 0.001 (0.001)	Loss 1.5570 (1.6488)	Prec@1 57.500 (55.696)	Prec@5 89.000 (84.265)
Epoch: [81][7300/9018]	Time 0.609 (0.619)	Data 0.001 (0.001)	Loss 1.7499 (1.6488)	Prec@1 57.000 (55.697)	Prec@5 81.500 (84.263)
Epoch: [81][7310/9018]	Time 0.592 (0.619)	Data 0.001 (0.001)	Loss 1.5433 (1.6488)	Prec@1 57.500 (55.696)	Prec@5 88.500 (84.262)
Epoch: [81][7320/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 1.6342 (1.6488)	Prec@1 55.000 (55.696)	Prec@5 84.000 (84.263)
Epoch: [81][7330/9018]	Time 0.632 (0.619)	Data 0.001 (0.001)	Loss 1.8709 (1.6488)	Prec@1 55.500 (55.696)	Prec@5 78.500 (84.263)
Epoch: [81][7340/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 1.5299 (1.6488)	Prec@1 58.000 (55.697)	Prec@5 83.000 (84.263)
Epoch: [81][7350/9018]	Time 0.597 (0.619)	Data 0.001 (0.001)	Loss 1.5939 (1.6488)	Prec@1 50.500 (55.695)	Prec@5 85.500 (84.263)
Epoch: [81][7360/9018]	Time 0.596 (0.619)	Data 0.001 (0.001)	Loss 1.7923 (1.6489)	Prec@1 56.000 (55.693)	Prec@5 82.000 (84.261)
Epoch: [81][7370/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 1.6027 (1.6489)	Prec@1 56.500 (55.692)	Prec@5 84.000 (84.260)
Epoch: [81][7380/9018]	Time 0.628 (0.619)	Data 0.001 (0.001)	Loss 1.6104 (1.6490)	Prec@1 57.500 (55.691)	Prec@5 84.500 (84.260)
Epoch: [81][7390/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 1.5278 (1.6490)	Prec@1 59.000 (55.689)	Prec@5 88.000 (84.260)
Epoch: [81][7400/9018]	Time 0.605 (0.619)	Data 0.001 (0.001)	Loss 1.9735 (1.6490)	Prec@1 47.500 (55.688)	Prec@5 80.500 (84.260)
Epoch: [81][7410/9018]	Time 0.593 (0.619)	Data 0.001 (0.001)	Loss 1.7324 (1.6491)	Prec@1 51.500 (55.686)	Prec@5 80.500 (84.258)
Epoch: [81][7420/9018]	Time 0.605 (0.619)	Data 0.001 (0.001)	Loss 1.5297 (1.6492)	Prec@1 60.000 (55.687)	Prec@5 86.000 (84.258)
Epoch: [81][7430/9018]	Time 0.606 (0.619)	Data 0.001 (0.001)	Loss 1.7570 (1.6493)	Prec@1 56.000 (55.684)	Prec@5 83.000 (84.257)
Epoch: [81][7440/9018]	Time 0.596 (0.619)	Data 0.001 (0.001)	Loss 1.6374 (1.6493)	Prec@1 55.500 (55.683)	Prec@5 84.000 (84.256)
Epoch: [81][7450/9018]	Time 0.717 (0.619)	Data 0.001 (0.001)	Loss 1.6955 (1.6494)	Prec@1 51.000 (55.683)	Prec@5 83.000 (84.255)
Epoch: [81][7460/9018]	Time 0.621 (0.619)	Data 0.001 (0.001)	Loss 1.8278 (1.6493)	Prec@1 54.500 (55.684)	Prec@5 83.500 (84.255)
Epoch: [81][7470/9018]	Time 0.608 (0.619)	Data 0.001 (0.001)	Loss 1.5227 (1.6493)	Prec@1 57.000 (55.684)	Prec@5 86.500 (84.257)
Epoch: [81][7480/9018]	Time 0.627 (0.619)	Data 0.001 (0.001)	Loss 1.6991 (1.6494)	Prec@1 59.500 (55.682)	Prec@5 81.000 (84.255)
Epoch: [81][7490/9018]	Time 0.595 (0.619)	Data 0.001 (0.001)	Loss 1.6842 (1.6494)	Prec@1 55.000 (55.680)	Prec@5 82.000 (84.255)
Epoch: [81][7500/9018]	Time 0.728 (0.619)	Data 0.001 (0.001)	Loss 1.6374 (1.6494)	Prec@1 51.000 (55.680)	Prec@5 86.000 (84.255)
Epoch: [81][7510/9018]	Time 0.626 (0.619)	Data 0.001 (0.001)	Loss 1.6906 (1.6494)	Prec@1 59.000 (55.681)	Prec@5 83.500 (84.256)
Epoch: [81][7520/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 1.5165 (1.6493)	Prec@1 59.000 (55.682)	Prec@5 87.000 (84.257)
Epoch: [81][7530/9018]	Time 0.610 (0.619)	Data 0.001 (0.001)	Loss 1.5481 (1.6494)	Prec@1 56.000 (55.681)	Prec@5 85.000 (84.257)
Epoch: [81][7540/9018]	Time 0.629 (0.619)	Data 0.001 (0.001)	Loss 1.7205 (1.6494)	Prec@1 53.000 (55.680)	Prec@5 83.000 (84.257)
Epoch: [81][7550/9018]	Time 0.628 (0.619)	Data 0.001 (0.001)	Loss 1.7713 (1.6494)	Prec@1 55.500 (55.681)	Prec@5 83.000 (84.256)
Epoch: [81][7560/9018]	Time 0.596 (0.619)	Data 0.001 (0.001)	Loss 1.7702 (1.6494)	Prec@1 52.500 (55.681)	Prec@5 81.500 (84.255)
Epoch: [81][7570/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 1.7840 (1.6495)	Prec@1 54.000 (55.679)	Prec@5 84.000 (84.256)
Epoch: [81][7580/9018]	Time 0.609 (0.619)	Data 0.001 (0.001)	Loss 1.6773 (1.6495)	Prec@1 53.000 (55.677)	Prec@5 84.500 (84.255)
Epoch: [81][7590/9018]	Time 0.604 (0.619)	Data 0.001 (0.001)	Loss 1.6389 (1.6495)	Prec@1 55.000 (55.677)	Prec@5 84.500 (84.254)
Epoch: [81][7600/9018]	Time 0.605 (0.619)	Data 0.001 (0.001)	Loss 1.8207 (1.6495)	Prec@1 47.000 (55.676)	Prec@5 80.500 (84.253)
Epoch: [81][7610/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 1.4602 (1.6495)	Prec@1 58.500 (55.676)	Prec@5 88.500 (84.255)
Epoch: [81][7620/9018]	Time 0.597 (0.619)	Data 0.001 (0.001)	Loss 1.6520 (1.6495)	Prec@1 54.000 (55.676)	Prec@5 82.500 (84.254)
Epoch: [81][7630/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 1.5990 (1.6495)	Prec@1 54.500 (55.677)	Prec@5 85.000 (84.253)
Epoch: [81][7640/9018]	Time 0.607 (0.619)	Data 0.001 (0.001)	Loss 2.0555 (1.6496)	Prec@1 50.000 (55.675)	Prec@5 77.000 (84.252)
Epoch: [81][7650/9018]	Time 0.597 (0.619)	Data 0.001 (0.001)	Loss 1.7126 (1.6495)	Prec@1 50.000 (55.676)	Prec@5 85.000 (84.253)
Epoch: [81][7660/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 1.7329 (1.6495)	Prec@1 52.500 (55.676)	Prec@5 84.500 (84.253)
Epoch: [81][7670/9018]	Time 0.596 (0.619)	Data 0.001 (0.001)	Loss 1.8363 (1.6495)	Prec@1 51.500 (55.675)	Prec@5 81.500 (84.252)
Epoch: [81][7680/9018]	Time 0.625 (0.619)	Data 0.001 (0.001)	Loss 1.5752 (1.6495)	Prec@1 56.000 (55.675)	Prec@5 84.000 (84.251)
Epoch: [81][7690/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 1.7244 (1.6495)	Prec@1 52.500 (55.674)	Prec@5 82.500 (84.251)
Epoch: [81][7700/9018]	Time 0.589 (0.619)	Data 0.001 (0.001)	Loss 1.5253 (1.6495)	Prec@1 56.000 (55.672)	Prec@5 86.500 (84.251)
Epoch: [81][7710/9018]	Time 0.597 (0.619)	Data 0.001 (0.001)	Loss 1.5754 (1.6495)	Prec@1 58.500 (55.673)	Prec@5 83.500 (84.251)
Epoch: [81][7720/9018]	Time 0.599 (0.619)	Data 0.001 (0.001)	Loss 1.6507 (1.6496)	Prec@1 56.000 (55.671)	Prec@5 84.500 (84.251)
Epoch: [81][7730/9018]	Time 0.609 (0.619)	Data 0.001 (0.001)	Loss 1.7690 (1.6496)	Prec@1 52.500 (55.670)	Prec@5 84.500 (84.251)
Epoch: [81][7740/9018]	Time 0.622 (0.619)	Data 0.001 (0.001)	Loss 1.7710 (1.6497)	Prec@1 50.000 (55.667)	Prec@5 82.000 (84.251)
Epoch: [81][7750/9018]	Time 0.605 (0.619)	Data 0.001 (0.001)	Loss 1.8250 (1.6497)	Prec@1 47.000 (55.665)	Prec@5 84.500 (84.251)
Epoch: [81][7760/9018]	Time 0.612 (0.619)	Data 0.001 (0.001)	Loss 1.5823 (1.6497)	Prec@1 63.000 (55.667)	Prec@5 84.000 (84.251)
Epoch: [81][7770/9018]	Time 0.595 (0.619)	Data 0.001 (0.001)	Loss 1.4909 (1.6497)	Prec@1 63.000 (55.668)	Prec@5 85.500 (84.250)
Epoch: [81][7780/9018]	Time 0.698 (0.619)	Data 0.001 (0.001)	Loss 1.6468 (1.6496)	Prec@1 54.500 (55.669)	Prec@5 81.500 (84.251)
Epoch: [81][7790/9018]	Time 0.599 (0.619)	Data 0.001 (0.001)	Loss 1.6223 (1.6496)	Prec@1 56.500 (55.670)	Prec@5 83.000 (84.252)
Epoch: [81][7800/9018]	Time 0.601 (0.619)	Data 0.001 (0.001)	Loss 1.7664 (1.6496)	Prec@1 53.000 (55.667)	Prec@5 82.500 (84.252)
Epoch: [81][7810/9018]	Time 0.606 (0.619)	Data 0.001 (0.001)	Loss 1.6896 (1.6497)	Prec@1 55.500 (55.665)	Prec@5 87.000 (84.251)
Epoch: [81][7820/9018]	Time 0.596 (0.619)	Data 0.001 (0.001)	Loss 1.6529 (1.6497)	Prec@1 54.500 (55.667)	Prec@5 83.000 (84.251)
Epoch: [81][7830/9018]	Time 0.719 (0.619)	Data 0.001 (0.001)	Loss 1.6514 (1.6497)	Prec@1 50.500 (55.666)	Prec@5 85.500 (84.251)
Epoch: [81][7840/9018]	Time 0.604 (0.619)	Data 0.001 (0.001)	Loss 1.5323 (1.6496)	Prec@1 60.500 (55.666)	Prec@5 88.000 (84.253)
Epoch: [81][7850/9018]	Time 0.611 (0.619)	Data 0.001 (0.001)	Loss 1.5645 (1.6495)	Prec@1 56.500 (55.666)	Prec@5 84.500 (84.254)
Epoch: [81][7860/9018]	Time 0.595 (0.619)	Data 0.001 (0.001)	Loss 1.5744 (1.6495)	Prec@1 58.500 (55.667)	Prec@5 88.000 (84.255)
Epoch: [81][7870/9018]	Time 0.594 (0.619)	Data 0.001 (0.001)	Loss 1.7211 (1.6495)	Prec@1 57.000 (55.666)	Prec@5 82.500 (84.254)
Epoch: [81][7880/9018]	Time 0.601 (0.619)	Data 0.001 (0.001)	Loss 1.4804 (1.6494)	Prec@1 58.500 (55.668)	Prec@5 88.000 (84.254)
Epoch: [81][7890/9018]	Time 0.617 (0.619)	Data 0.001 (0.001)	Loss 1.6989 (1.6495)	Prec@1 58.000 (55.667)	Prec@5 85.500 (84.254)
Epoch: [81][7900/9018]	Time 0.611 (0.619)	Data 0.001 (0.001)	Loss 1.7650 (1.6496)	Prec@1 54.000 (55.668)	Prec@5 80.500 (84.253)
Epoch: [81][7910/9018]	Time 0.626 (0.619)	Data 0.001 (0.001)	Loss 1.8398 (1.6496)	Prec@1 52.500 (55.667)	Prec@5 80.500 (84.251)
Epoch: [81][7920/9018]	Time 0.597 (0.619)	Data 0.001 (0.001)	Loss 1.6421 (1.6497)	Prec@1 57.500 (55.665)	Prec@5 85.000 (84.251)
Epoch: [81][7930/9018]	Time 0.595 (0.619)	Data 0.001 (0.001)	Loss 1.6746 (1.6496)	Prec@1 54.500 (55.666)	Prec@5 83.000 (84.252)
Epoch: [81][7940/9018]	Time 0.624 (0.619)	Data 0.001 (0.001)	Loss 1.5848 (1.6496)	Prec@1 60.000 (55.668)	Prec@5 83.000 (84.252)
Epoch: [81][7950/9018]	Time 0.592 (0.619)	Data 0.001 (0.001)	Loss 1.5636 (1.6497)	Prec@1 59.000 (55.667)	Prec@5 85.000 (84.251)
Epoch: [81][7960/9018]	Time 0.609 (0.619)	Data 0.001 (0.001)	Loss 1.7645 (1.6497)	Prec@1 59.000 (55.670)	Prec@5 79.000 (84.251)
Epoch: [81][7970/9018]	Time 0.599 (0.619)	Data 0.001 (0.001)	Loss 1.6015 (1.6496)	Prec@1 55.000 (55.668)	Prec@5 85.500 (84.251)
Epoch: [81][7980/9018]	Time 0.625 (0.619)	Data 0.001 (0.001)	Loss 1.6445 (1.6497)	Prec@1 57.000 (55.668)	Prec@5 85.000 (84.252)
Epoch: [81][7990/9018]	Time 0.597 (0.619)	Data 0.001 (0.001)	Loss 1.7110 (1.6497)	Prec@1 56.500 (55.668)	Prec@5 81.500 (84.251)
Epoch: [81][8000/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 1.8080 (1.6497)	Prec@1 56.000 (55.667)	Prec@5 81.500 (84.251)
Epoch: [81][8010/9018]	Time 0.605 (0.619)	Data 0.001 (0.001)	Loss 1.4919 (1.6498)	Prec@1 60.500 (55.666)	Prec@5 90.500 (84.250)
Epoch: [81][8020/9018]	Time 0.619 (0.619)	Data 0.001 (0.001)	Loss 1.5732 (1.6497)	Prec@1 58.500 (55.667)	Prec@5 85.000 (84.252)
Epoch: [81][8030/9018]	Time 0.608 (0.619)	Data 0.001 (0.001)	Loss 1.6474 (1.6497)	Prec@1 52.500 (55.667)	Prec@5 87.000 (84.252)
Epoch: [81][8040/9018]	Time 0.599 (0.619)	Data 0.001 (0.001)	Loss 1.6860 (1.6497)	Prec@1 52.500 (55.665)	Prec@5 83.500 (84.252)
Epoch: [81][8050/9018]	Time 0.595 (0.619)	Data 0.001 (0.001)	Loss 1.7206 (1.6496)	Prec@1 56.500 (55.666)	Prec@5 82.500 (84.253)
Epoch: [81][8060/9018]	Time 0.602 (0.619)	Data 0.001 (0.001)	Loss 1.9027 (1.6497)	Prec@1 52.500 (55.663)	Prec@5 80.500 (84.251)
Epoch: [81][8070/9018]	Time 0.635 (0.619)	Data 0.001 (0.001)	Loss 1.7866 (1.6498)	Prec@1 53.000 (55.660)	Prec@5 79.500 (84.249)
Epoch: [81][8080/9018]	Time 0.609 (0.619)	Data 0.001 (0.001)	Loss 1.8828 (1.6498)	Prec@1 56.000 (55.659)	Prec@5 77.500 (84.249)
Epoch: [81][8090/9018]	Time 0.596 (0.619)	Data 0.001 (0.001)	Loss 1.4893 (1.6498)	Prec@1 64.500 (55.659)	Prec@5 87.500 (84.249)
Epoch: [81][8100/9018]	Time 0.604 (0.619)	Data 0.001 (0.001)	Loss 1.6583 (1.6498)	Prec@1 56.500 (55.662)	Prec@5 83.500 (84.251)
Epoch: [81][8110/9018]	Time 0.691 (0.619)	Data 0.001 (0.001)	Loss 1.6819 (1.6498)	Prec@1 56.000 (55.661)	Prec@5 84.000 (84.251)
Epoch: [81][8120/9018]	Time 0.622 (0.619)	Data 0.001 (0.001)	Loss 1.6578 (1.6498)	Prec@1 55.000 (55.659)	Prec@5 85.000 (84.249)
Epoch: [81][8130/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 1.5882 (1.6499)	Prec@1 60.500 (55.659)	Prec@5 86.500 (84.248)
Epoch: [81][8140/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 1.6453 (1.6499)	Prec@1 53.500 (55.658)	Prec@5 87.500 (84.247)
Epoch: [81][8150/9018]	Time 0.604 (0.619)	Data 0.001 (0.001)	Loss 1.8809 (1.6500)	Prec@1 49.500 (55.655)	Prec@5 81.500 (84.247)
Epoch: [81][8160/9018]	Time 0.687 (0.619)	Data 0.001 (0.001)	Loss 1.5377 (1.6499)	Prec@1 60.500 (55.655)	Prec@5 83.000 (84.248)
Epoch: [81][8170/9018]	Time 0.654 (0.619)	Data 0.001 (0.001)	Loss 1.6190 (1.6499)	Prec@1 56.000 (55.655)	Prec@5 84.000 (84.248)
Epoch: [81][8180/9018]	Time 0.600 (0.619)	Data 0.001 (0.001)	Loss 1.7038 (1.6499)	Prec@1 54.500 (55.655)	Prec@5 86.000 (84.248)
Epoch: [81][8190/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.7631 (1.6498)	Prec@1 54.500 (55.656)	Prec@5 78.500 (84.247)
Epoch: [81][8200/9018]	Time 0.603 (0.619)	Data 0.001 (0.001)	Loss 1.4556 (1.6499)	Prec@1 59.000 (55.655)	Prec@5 86.500 (84.246)
Epoch: [81][8210/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.7299 (1.6499)	Prec@1 58.500 (55.656)	Prec@5 83.000 (84.246)
Epoch: [81][8220/9018]	Time 0.614 (0.618)	Data 0.001 (0.001)	Loss 1.6983 (1.6499)	Prec@1 57.500 (55.658)	Prec@5 85.000 (84.247)
Epoch: [81][8230/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.4246 (1.6498)	Prec@1 62.000 (55.659)	Prec@5 85.000 (84.248)
Epoch: [81][8240/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.8206 (1.6499)	Prec@1 52.500 (55.658)	Prec@5 81.000 (84.247)
Epoch: [81][8250/9018]	Time 0.601 (0.618)	Data 0.001 (0.001)	Loss 1.5975 (1.6498)	Prec@1 56.000 (55.660)	Prec@5 86.500 (84.248)
Epoch: [81][8260/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.6539 (1.6499)	Prec@1 56.500 (55.660)	Prec@5 84.500 (84.247)
Epoch: [81][8270/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.5684 (1.6499)	Prec@1 57.500 (55.660)	Prec@5 87.000 (84.248)
Epoch: [81][8280/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.7058 (1.6499)	Prec@1 52.500 (55.659)	Prec@5 84.500 (84.247)
Epoch: [81][8290/9018]	Time 0.623 (0.618)	Data 0.001 (0.001)	Loss 1.4985 (1.6499)	Prec@1 57.500 (55.660)	Prec@5 87.000 (84.247)
Epoch: [81][8300/9018]	Time 0.594 (0.618)	Data 0.001 (0.001)	Loss 1.6753 (1.6498)	Prec@1 54.500 (55.661)	Prec@5 83.500 (84.249)
Epoch: [81][8310/9018]	Time 0.617 (0.618)	Data 0.001 (0.001)	Loss 1.7585 (1.6498)	Prec@1 55.000 (55.660)	Prec@5 79.500 (84.248)
Epoch: [81][8320/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.5359 (1.6498)	Prec@1 56.500 (55.662)	Prec@5 86.000 (84.249)
Epoch: [81][8330/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.5687 (1.6498)	Prec@1 55.000 (55.661)	Prec@5 86.500 (84.249)
Epoch: [81][8340/9018]	Time 0.621 (0.618)	Data 0.001 (0.001)	Loss 1.4650 (1.6499)	Prec@1 62.500 (55.660)	Prec@5 85.000 (84.246)
Epoch: [81][8350/9018]	Time 0.630 (0.618)	Data 0.001 (0.001)	Loss 1.6856 (1.6499)	Prec@1 53.000 (55.660)	Prec@5 82.000 (84.246)
Epoch: [81][8360/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.5245 (1.6498)	Prec@1 57.000 (55.662)	Prec@5 85.000 (84.247)
Epoch: [81][8370/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.4054 (1.6498)	Prec@1 59.500 (55.663)	Prec@5 89.000 (84.248)
Epoch: [81][8380/9018]	Time 0.594 (0.618)	Data 0.001 (0.001)	Loss 1.6869 (1.6498)	Prec@1 57.000 (55.662)	Prec@5 83.000 (84.248)
Epoch: [81][8390/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.7736 (1.6498)	Prec@1 49.500 (55.660)	Prec@5 84.500 (84.247)
Epoch: [81][8400/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.6167 (1.6498)	Prec@1 56.500 (55.662)	Prec@5 84.500 (84.248)
Epoch: [81][8410/9018]	Time 0.593 (0.618)	Data 0.001 (0.001)	Loss 1.6685 (1.6498)	Prec@1 54.500 (55.661)	Prec@5 84.000 (84.247)
Epoch: [81][8420/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.6539 (1.6498)	Prec@1 54.000 (55.661)	Prec@5 84.000 (84.247)
Epoch: [81][8430/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.6661 (1.6499)	Prec@1 57.500 (55.660)	Prec@5 84.000 (84.246)
Epoch: [81][8440/9018]	Time 0.734 (0.618)	Data 0.001 (0.001)	Loss 1.7008 (1.6499)	Prec@1 53.000 (55.660)	Prec@5 85.000 (84.246)
Epoch: [81][8450/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.7147 (1.6499)	Prec@1 52.500 (55.658)	Prec@5 81.000 (84.244)
Epoch: [81][8460/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.7928 (1.6500)	Prec@1 56.000 (55.655)	Prec@5 82.000 (84.244)
Epoch: [81][8470/9018]	Time 0.611 (0.618)	Data 0.001 (0.001)	Loss 1.8047 (1.6501)	Prec@1 49.000 (55.655)	Prec@5 83.000 (84.244)
Epoch: [81][8480/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.6864 (1.6499)	Prec@1 57.500 (55.658)	Prec@5 85.500 (84.246)
Epoch: [81][8490/9018]	Time 0.745 (0.618)	Data 0.001 (0.001)	Loss 1.5752 (1.6499)	Prec@1 58.500 (55.660)	Prec@5 84.500 (84.247)
Epoch: [81][8500/9018]	Time 0.612 (0.618)	Data 0.001 (0.001)	Loss 1.8438 (1.6499)	Prec@1 50.500 (55.658)	Prec@5 80.500 (84.247)
Epoch: [81][8510/9018]	Time 0.588 (0.618)	Data 0.001 (0.001)	Loss 1.6481 (1.6499)	Prec@1 55.000 (55.658)	Prec@5 81.500 (84.247)
Epoch: [81][8520/9018]	Time 0.605 (0.618)	Data 0.001 (0.001)	Loss 1.5030 (1.6499)	Prec@1 61.000 (55.659)	Prec@5 86.500 (84.247)
Epoch: [81][8530/9018]	Time 0.608 (0.618)	Data 0.001 (0.001)	Loss 1.4397 (1.6499)	Prec@1 58.500 (55.659)	Prec@5 86.500 (84.247)
Epoch: [81][8540/9018]	Time 0.626 (0.618)	Data 0.001 (0.001)	Loss 1.5606 (1.6499)	Prec@1 56.000 (55.660)	Prec@5 87.000 (84.247)
Epoch: [81][8550/9018]	Time 0.632 (0.618)	Data 0.001 (0.001)	Loss 1.6972 (1.6499)	Prec@1 49.500 (55.657)	Prec@5 86.000 (84.247)
Epoch: [81][8560/9018]	Time 0.591 (0.618)	Data 0.001 (0.001)	Loss 1.8371 (1.6500)	Prec@1 52.500 (55.657)	Prec@5 84.500 (84.246)
Epoch: [81][8570/9018]	Time 0.595 (0.618)	Data 0.001 (0.001)	Loss 1.6747 (1.6500)	Prec@1 55.500 (55.657)	Prec@5 82.000 (84.245)
Epoch: [81][8580/9018]	Time 0.594 (0.618)	Data 0.001 (0.001)	Loss 1.6279 (1.6500)	Prec@1 59.500 (55.658)	Prec@5 82.500 (84.247)
Epoch: [81][8590/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.6203 (1.6500)	Prec@1 53.500 (55.657)	Prec@5 87.500 (84.246)
Epoch: [81][8600/9018]	Time 0.612 (0.618)	Data 0.001 (0.001)	Loss 1.7431 (1.6500)	Prec@1 57.000 (55.657)	Prec@5 80.000 (84.247)
Epoch: [81][8610/9018]	Time 0.594 (0.618)	Data 0.001 (0.001)	Loss 1.4841 (1.6500)	Prec@1 59.500 (55.658)	Prec@5 88.500 (84.248)
Epoch: [81][8620/9018]	Time 0.624 (0.618)	Data 0.001 (0.001)	Loss 1.8716 (1.6501)	Prec@1 53.000 (55.659)	Prec@5 80.000 (84.245)
Epoch: [81][8630/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.7527 (1.6501)	Prec@1 52.500 (55.661)	Prec@5 83.500 (84.246)
Epoch: [81][8640/9018]	Time 0.591 (0.618)	Data 0.001 (0.001)	Loss 1.4385 (1.6500)	Prec@1 58.000 (55.662)	Prec@5 88.000 (84.246)
Epoch: [81][8650/9018]	Time 0.620 (0.618)	Data 0.001 (0.001)	Loss 1.3721 (1.6500)	Prec@1 59.000 (55.661)	Prec@5 90.000 (84.245)
Epoch: [81][8660/9018]	Time 0.607 (0.618)	Data 0.001 (0.001)	Loss 1.7174 (1.6501)	Prec@1 51.000 (55.659)	Prec@5 86.500 (84.246)
Epoch: [81][8670/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.4510 (1.6500)	Prec@1 61.500 (55.660)	Prec@5 88.000 (84.247)
Epoch: [81][8680/9018]	Time 0.612 (0.618)	Data 0.001 (0.001)	Loss 1.7624 (1.6501)	Prec@1 54.500 (55.659)	Prec@5 80.500 (84.245)
Epoch: [81][8690/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.8515 (1.6501)	Prec@1 51.500 (55.660)	Prec@5 82.000 (84.245)
Epoch: [81][8700/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.6094 (1.6502)	Prec@1 54.500 (55.658)	Prec@5 89.000 (84.244)
Epoch: [81][8710/9018]	Time 0.601 (0.618)	Data 0.001 (0.001)	Loss 1.7455 (1.6502)	Prec@1 54.000 (55.657)	Prec@5 82.000 (84.243)
Epoch: [81][8720/9018]	Time 0.601 (0.618)	Data 0.001 (0.001)	Loss 1.4515 (1.6502)	Prec@1 58.000 (55.657)	Prec@5 87.500 (84.243)
Epoch: [81][8730/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.6361 (1.6503)	Prec@1 56.000 (55.655)	Prec@5 84.500 (84.241)
Epoch: [81][8740/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.6732 (1.6503)	Prec@1 59.000 (55.655)	Prec@5 84.000 (84.239)
Epoch: [81][8750/9018]	Time 0.620 (0.618)	Data 0.001 (0.001)	Loss 1.6837 (1.6504)	Prec@1 55.500 (55.653)	Prec@5 83.500 (84.239)
Epoch: [81][8760/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.5375 (1.6504)	Prec@1 62.000 (55.654)	Prec@5 87.500 (84.239)
Epoch: [81][8770/9018]	Time 0.731 (0.618)	Data 0.001 (0.001)	Loss 1.7376 (1.6504)	Prec@1 53.000 (55.653)	Prec@5 82.500 (84.238)
Epoch: [81][8780/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.9575 (1.6505)	Prec@1 46.000 (55.651)	Prec@5 81.000 (84.238)
Epoch: [81][8790/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.6441 (1.6505)	Prec@1 58.000 (55.650)	Prec@5 85.500 (84.237)
Epoch: [81][8800/9018]	Time 0.627 (0.618)	Data 0.001 (0.001)	Loss 1.7974 (1.6506)	Prec@1 53.000 (55.649)	Prec@5 81.000 (84.237)
Epoch: [81][8810/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.6346 (1.6506)	Prec@1 55.500 (55.649)	Prec@5 82.500 (84.237)
Epoch: [81][8820/9018]	Time 0.728 (0.618)	Data 0.001 (0.001)	Loss 1.7905 (1.6506)	Prec@1 50.000 (55.649)	Prec@5 82.500 (84.237)
Epoch: [81][8830/9018]	Time 0.633 (0.618)	Data 0.001 (0.001)	Loss 1.7856 (1.6507)	Prec@1 54.000 (55.647)	Prec@5 81.500 (84.236)
Epoch: [81][8840/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.7013 (1.6507)	Prec@1 56.000 (55.647)	Prec@5 82.000 (84.237)
Epoch: [81][8850/9018]	Time 0.615 (0.618)	Data 0.001 (0.001)	Loss 1.5748 (1.6507)	Prec@1 58.500 (55.648)	Prec@5 85.500 (84.237)
Epoch: [81][8860/9018]	Time 0.595 (0.618)	Data 0.001 (0.001)	Loss 1.5798 (1.6507)	Prec@1 54.000 (55.648)	Prec@5 86.000 (84.237)
Epoch: [81][8870/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.5788 (1.6506)	Prec@1 55.000 (55.647)	Prec@5 85.000 (84.238)
Epoch: [81][8880/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.6488 (1.6506)	Prec@1 57.500 (55.647)	Prec@5 84.500 (84.238)
Epoch: [81][8890/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.7520 (1.6507)	Prec@1 46.500 (55.646)	Prec@5 83.500 (84.238)
Epoch: [81][8900/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.7984 (1.6506)	Prec@1 52.500 (55.645)	Prec@5 83.500 (84.239)
Epoch: [81][8910/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.5061 (1.6507)	Prec@1 63.000 (55.645)	Prec@5 85.500 (84.237)
Epoch: [81][8920/9018]	Time 0.627 (0.618)	Data 0.001 (0.001)	Loss 1.5992 (1.6506)	Prec@1 56.000 (55.647)	Prec@5 82.000 (84.237)
Epoch: [81][8930/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.8840 (1.6507)	Prec@1 52.000 (55.646)	Prec@5 82.000 (84.237)
Epoch: [81][8940/9018]	Time 0.611 (0.618)	Data 0.001 (0.001)	Loss 1.7024 (1.6507)	Prec@1 57.000 (55.647)	Prec@5 82.500 (84.237)
Epoch: [81][8950/9018]	Time 0.619 (0.618)	Data 0.001 (0.001)	Loss 1.8062 (1.6507)	Prec@1 53.500 (55.648)	Prec@5 82.500 (84.236)
Epoch: [81][8960/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.8431 (1.6508)	Prec@1 49.000 (55.647)	Prec@5 83.000 (84.236)
Epoch: [81][8970/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.5058 (1.6508)	Prec@1 59.000 (55.645)	Prec@5 85.000 (84.235)
Epoch: [81][8980/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.7735 (1.6509)	Prec@1 52.000 (55.645)	Prec@5 83.000 (84.235)
Epoch: [81][8990/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.5895 (1.6509)	Prec@1 56.000 (55.643)	Prec@5 85.000 (84.235)
Epoch: [81][9000/9018]	Time 0.618 (0.618)	Data 0.001 (0.001)	Loss 1.6896 (1.6509)	Prec@1 54.500 (55.644)	Prec@5 87.500 (84.235)
Epoch: [81][9010/9018]	Time 0.623 (0.618)	Data 0.000 (0.001)	Loss 1.8656 (1.6509)	Prec@1 55.000 (55.644)	Prec@5 81.000 (84.235)
Test: [0/183]	Time 1.585 (1.585)	Loss 2.3526 (2.3526)	Prec@1 38.000 (38.000)	Prec@5 72.000 (72.000)
Test: [10/183]	Time 0.183 (0.316)	Loss 1.4527 (1.6128)	Prec@1 66.500 (58.045)	Prec@5 87.000 (85.909)
Test: [20/183]	Time 0.188 (0.258)	Loss 2.2129 (1.6081)	Prec@1 42.000 (57.619)	Prec@5 77.000 (85.571)
Test: [30/183]	Time 0.190 (0.236)	Loss 2.1629 (1.6279)	Prec@1 35.500 (56.371)	Prec@5 77.000 (85.548)
Test: [40/183]	Time 0.182 (0.225)	Loss 2.3049 (1.6383)	Prec@1 39.000 (56.610)	Prec@5 76.500 (85.037)
Test: [50/183]	Time 0.189 (0.220)	Loss 1.4355 (1.6099)	Prec@1 61.000 (57.137)	Prec@5 90.000 (85.471)
Test: [60/183]	Time 0.193 (0.214)	Loss 1.9478 (1.6700)	Prec@1 50.000 (55.295)	Prec@5 78.500 (84.787)
Test: [70/183]	Time 0.182 (0.212)	Loss 1.7145 (1.6505)	Prec@1 51.500 (55.662)	Prec@5 84.500 (85.155)
Test: [80/183]	Time 0.201 (0.209)	Loss 1.4665 (1.6318)	Prec@1 55.500 (55.870)	Prec@5 91.000 (85.420)
Test: [90/183]	Time 0.191 (0.208)	Loss 2.1180 (1.6284)	Prec@1 43.000 (56.016)	Prec@5 77.500 (85.522)
Test: [100/183]	Time 0.187 (0.207)	Loss 0.8513 (1.6336)	Prec@1 75.000 (55.797)	Prec@5 95.000 (85.470)
Test: [110/183]	Time 0.183 (0.206)	Loss 0.6556 (1.6420)	Prec@1 84.000 (55.586)	Prec@5 96.500 (85.360)
Test: [120/183]	Time 0.186 (0.205)	Loss 2.0512 (1.6486)	Prec@1 43.500 (55.306)	Prec@5 75.500 (85.343)
Test: [130/183]	Time 0.191 (0.204)	Loss 2.8621 (1.6584)	Prec@1 22.500 (54.992)	Prec@5 72.500 (85.389)
Test: [140/183]	Time 0.216 (0.204)	Loss 1.3905 (1.6507)	Prec@1 68.000 (55.270)	Prec@5 86.500 (85.486)
Test: [150/183]	Time 0.190 (0.204)	Loss 0.4873 (1.6489)	Prec@1 89.000 (55.361)	Prec@5 98.000 (85.510)
Test: [160/183]	Time 0.182 (0.203)	Loss 1.7176 (1.6482)	Prec@1 52.500 (55.484)	Prec@5 84.000 (85.509)
Test: [170/183]	Time 0.184 (0.203)	Loss 2.0359 (1.6632)	Prec@1 34.000 (55.105)	Prec@5 86.500 (85.327)
Test: [180/183]	Time 0.191 (0.202)	Loss 1.9123 (1.6701)	Prec@1 44.500 (54.964)	Prec@5 86.000 (85.196)
 * Prec@1 54.951 Prec@5 85.186
Epoch: [82][0/9018]	Time 2.838 (2.838)	Data 2.232 (2.232)	Loss 1.7363 (1.7363)	Prec@1 52.000 (52.000)	Prec@5 83.500 (83.500)
Epoch: [82][10/9018]	Time 0.597 (0.799)	Data 0.001 (0.204)	Loss 1.6590 (1.6571)	Prec@1 56.000 (54.545)	Prec@5 83.000 (84.000)
Epoch: [82][20/9018]	Time 0.587 (0.710)	Data 0.001 (0.107)	Loss 1.6216 (1.6415)	Prec@1 56.000 (55.000)	Prec@5 85.000 (84.333)
Epoch: [82][30/9018]	Time 0.594 (0.672)	Data 0.001 (0.073)	Loss 1.7609 (1.6408)	Prec@1 51.000 (55.145)	Prec@5 81.500 (84.306)
Epoch: [82][40/9018]	Time 0.590 (0.657)	Data 0.001 (0.055)	Loss 1.6627 (1.6387)	Prec@1 58.000 (55.524)	Prec@5 82.000 (84.256)
Epoch: [82][50/9018]	Time 0.592 (0.649)	Data 0.001 (0.045)	Loss 1.3086 (1.6215)	Prec@1 64.000 (55.755)	Prec@5 91.000 (84.627)
Epoch: [82][60/9018]	Time 0.625 (0.643)	Data 0.001 (0.037)	Loss 1.7111 (1.6228)	Prec@1 53.500 (55.631)	Prec@5 83.000 (84.672)
Epoch: [82][70/9018]	Time 0.593 (0.639)	Data 0.001 (0.032)	Loss 1.4707 (1.6103)	Prec@1 63.500 (56.014)	Prec@5 86.000 (84.958)
Epoch: [82][80/9018]	Time 0.594 (0.635)	Data 0.001 (0.028)	Loss 1.6343 (1.6088)	Prec@1 55.500 (56.025)	Prec@5 84.000 (85.006)
Epoch: [82][90/9018]	Time 0.603 (0.634)	Data 0.001 (0.025)	Loss 1.7134 (1.6094)	Prec@1 54.000 (56.077)	Prec@5 84.000 (84.857)
Epoch: [82][100/9018]	Time 0.599 (0.632)	Data 0.001 (0.023)	Loss 1.6436 (1.6141)	Prec@1 55.000 (56.015)	Prec@5 85.500 (84.782)
Epoch: [82][110/9018]	Time 0.597 (0.630)	Data 0.001 (0.021)	Loss 1.5563 (1.6148)	Prec@1 59.000 (56.086)	Prec@5 85.000 (84.811)
Epoch: [82][120/9018]	Time 0.604 (0.629)	Data 0.001 (0.019)	Loss 1.6973 (1.6171)	Prec@1 58.500 (56.174)	Prec@5 82.500 (84.711)
Epoch: [82][130/9018]	Time 0.630 (0.628)	Data 0.001 (0.018)	Loss 1.5332 (1.6157)	Prec@1 62.500 (56.286)	Prec@5 85.500 (84.733)
Epoch: [82][140/9018]	Time 0.607 (0.626)	Data 0.001 (0.017)	Loss 1.6780 (1.6181)	Prec@1 51.000 (56.188)	Prec@5 84.500 (84.691)
Epoch: [82][150/9018]	Time 0.600 (0.626)	Data 0.001 (0.016)	Loss 1.6308 (1.6177)	Prec@1 55.000 (56.238)	Prec@5 84.500 (84.689)
Epoch: [82][160/9018]	Time 0.624 (0.625)	Data 0.001 (0.015)	Loss 1.6471 (1.6213)	Prec@1 51.000 (56.193)	Prec@5 85.500 (84.640)
Epoch: [82][170/9018]	Time 0.599 (0.625)	Data 0.001 (0.014)	Loss 1.3266 (1.6227)	Prec@1 62.500 (56.234)	Prec@5 88.000 (84.626)
Epoch: [82][180/9018]	Time 0.740 (0.624)	Data 0.001 (0.013)	Loss 1.6701 (1.6256)	Prec@1 53.000 (56.110)	Prec@5 85.000 (84.594)
Epoch: [82][190/9018]	Time 0.600 (0.623)	Data 0.001 (0.012)	Loss 1.4522 (1.6264)	Prec@1 59.000 (56.065)	Prec@5 86.500 (84.586)
Epoch: [82][200/9018]	Time 0.591 (0.623)	Data 0.001 (0.012)	Loss 1.7216 (1.6251)	Prec@1 50.500 (56.085)	Prec@5 83.000 (84.614)
Epoch: [82][210/9018]	Time 0.628 (0.623)	Data 0.001 (0.011)	Loss 1.6706 (1.6238)	Prec@1 58.500 (56.166)	Prec@5 84.000 (84.637)
Epoch: [82][220/9018]	Time 0.600 (0.622)	Data 0.001 (0.011)	Loss 1.5218 (1.6240)	Prec@1 59.000 (56.188)	Prec@5 85.000 (84.590)
Epoch: [82][230/9018]	Time 0.736 (0.622)	Data 0.001 (0.010)	Loss 1.8002 (1.6219)	Prec@1 52.500 (56.240)	Prec@5 81.500 (84.604)
Epoch: [82][240/9018]	Time 0.631 (0.622)	Data 0.001 (0.010)	Loss 1.5487 (1.6245)	Prec@1 56.500 (56.220)	Prec@5 87.500 (84.548)
Epoch: [82][250/9018]	Time 0.599 (0.622)	Data 0.001 (0.010)	Loss 1.6383 (1.6238)	Prec@1 58.000 (56.259)	Prec@5 82.500 (84.550)
Epoch: [82][260/9018]	Time 0.602 (0.621)	Data 0.001 (0.009)	Loss 1.6295 (1.6267)	Prec@1 53.500 (56.178)	Prec@5 86.500 (84.513)
Epoch: [82][270/9018]	Time 0.604 (0.621)	Data 0.001 (0.009)	Loss 1.5128 (1.6278)	Prec@1 56.500 (56.197)	Prec@5 85.500 (84.487)
Epoch: [82][280/9018]	Time 0.632 (0.621)	Data 0.001 (0.009)	Loss 1.6110 (1.6272)	Prec@1 56.500 (56.221)	Prec@5 83.500 (84.495)
Epoch: [82][290/9018]	Time 0.599 (0.621)	Data 0.001 (0.008)	Loss 1.8636 (1.6278)	Prec@1 50.000 (56.194)	Prec@5 82.500 (84.498)
Epoch: [82][300/9018]	Time 0.599 (0.620)	Data 0.001 (0.008)	Loss 1.6918 (1.6290)	Prec@1 55.000 (56.168)	Prec@5 86.000 (84.518)
Epoch: [82][310/9018]	Time 0.626 (0.620)	Data 0.001 (0.008)	Loss 1.7904 (1.6278)	Prec@1 56.500 (56.232)	Prec@5 80.000 (84.540)
Epoch: [82][320/9018]	Time 0.599 (0.620)	Data 0.001 (0.008)	Loss 1.5678 (1.6288)	Prec@1 55.000 (56.196)	Prec@5 84.000 (84.520)
Epoch: [82][330/9018]	Time 0.593 (0.620)	Data 0.001 (0.008)	Loss 1.5755 (1.6301)	Prec@1 55.500 (56.124)	Prec@5 84.000 (84.488)
Epoch: [82][340/9018]	Time 0.612 (0.619)	Data 0.001 (0.007)	Loss 1.6677 (1.6296)	Prec@1 53.000 (56.145)	Prec@5 85.500 (84.519)
Epoch: [82][350/9018]	Time 0.605 (0.619)	Data 0.001 (0.007)	Loss 1.5281 (1.6296)	Prec@1 63.000 (56.172)	Prec@5 83.000 (84.494)
Epoch: [82][360/9018]	Time 0.647 (0.619)	Data 0.001 (0.007)	Loss 1.6167 (1.6298)	Prec@1 58.500 (56.190)	Prec@5 86.000 (84.481)
Epoch: [82][370/9018]	Time 0.599 (0.619)	Data 0.001 (0.007)	Loss 1.6141 (1.6300)	Prec@1 59.500 (56.199)	Prec@5 83.000 (84.464)
Epoch: [82][380/9018]	Time 0.599 (0.619)	Data 0.001 (0.007)	Loss 1.5416 (1.6284)	Prec@1 57.000 (56.224)	Prec@5 83.500 (84.474)
Epoch: [82][390/9018]	Time 0.600 (0.619)	Data 0.001 (0.006)	Loss 1.6069 (1.6305)	Prec@1 53.500 (56.180)	Prec@5 83.500 (84.446)
Epoch: [82][400/9018]	Time 0.598 (0.618)	Data 0.001 (0.006)	Loss 1.5686 (1.6303)	Prec@1 62.000 (56.183)	Prec@5 82.000 (84.465)
Epoch: [82][410/9018]	Time 0.624 (0.618)	Data 0.001 (0.006)	Loss 1.6269 (1.6310)	Prec@1 54.000 (56.150)	Prec@5 86.000 (84.456)
Epoch: [82][420/9018]	Time 0.601 (0.618)	Data 0.001 (0.006)	Loss 1.5578 (1.6313)	Prec@1 54.000 (56.102)	Prec@5 89.000 (84.466)
Epoch: [82][430/9018]	Time 0.594 (0.618)	Data 0.001 (0.006)	Loss 1.6192 (1.6324)	Prec@1 56.500 (56.043)	Prec@5 83.000 (84.445)
Epoch: [82][440/9018]	Time 0.616 (0.618)	Data 0.001 (0.006)	Loss 1.4596 (1.6316)	Prec@1 62.000 (56.040)	Prec@5 85.500 (84.466)
Epoch: [82][450/9018]	Time 0.605 (0.618)	Data 0.001 (0.006)	Loss 1.3896 (1.6321)	Prec@1 60.500 (56.023)	Prec@5 88.500 (84.469)
Epoch: [82][460/9018]	Time 0.627 (0.618)	Data 0.001 (0.006)	Loss 1.5248 (1.6320)	Prec@1 61.000 (56.053)	Prec@5 85.000 (84.465)
Epoch: [82][470/9018]	Time 0.597 (0.618)	Data 0.001 (0.005)	Loss 1.6689 (1.6320)	Prec@1 54.500 (56.056)	Prec@5 85.500 (84.470)
Epoch: [82][480/9018]	Time 0.601 (0.618)	Data 0.001 (0.005)	Loss 1.5705 (1.6314)	Prec@1 55.000 (56.061)	Prec@5 89.000 (84.490)
Epoch: [82][490/9018]	Time 0.596 (0.618)	Data 0.001 (0.005)	Loss 1.5520 (1.6312)	Prec@1 56.500 (56.051)	Prec@5 86.500 (84.493)
Epoch: [82][500/9018]	Time 0.593 (0.618)	Data 0.001 (0.005)	Loss 1.7921 (1.6319)	Prec@1 53.000 (56.052)	Prec@5 80.000 (84.479)
Epoch: [82][510/9018]	Time 0.738 (0.618)	Data 0.001 (0.005)	Loss 1.6094 (1.6318)	Prec@1 58.000 (56.062)	Prec@5 86.500 (84.495)
Epoch: [82][520/9018]	Time 0.621 (0.618)	Data 0.001 (0.005)	Loss 1.6824 (1.6322)	Prec@1 56.000 (56.076)	Prec@5 82.000 (84.490)
Epoch: [82][530/9018]	Time 0.605 (0.618)	Data 0.001 (0.005)	Loss 1.5121 (1.6333)	Prec@1 59.500 (56.034)	Prec@5 87.500 (84.482)
Epoch: [82][540/9018]	Time 0.601 (0.617)	Data 0.001 (0.005)	Loss 1.6384 (1.6341)	Prec@1 56.000 (56.026)	Prec@5 86.000 (84.482)
Epoch: [82][550/9018]	Time 0.637 (0.617)	Data 0.001 (0.005)	Loss 1.6615 (1.6356)	Prec@1 57.500 (55.990)	Prec@5 81.000 (84.442)
Epoch: [82][560/9018]	Time 0.724 (0.618)	Data 0.001 (0.005)	Loss 1.7935 (1.6360)	Prec@1 49.500 (55.984)	Prec@5 80.000 (84.434)
Epoch: [82][570/9018]	Time 0.597 (0.617)	Data 0.001 (0.005)	Loss 1.5531 (1.6355)	Prec@1 56.500 (55.979)	Prec@5 85.500 (84.441)
Epoch: [82][580/9018]	Time 0.600 (0.617)	Data 0.001 (0.005)	Loss 1.5681 (1.6345)	Prec@1 57.500 (55.994)	Prec@5 84.500 (84.456)
Epoch: [82][590/9018]	Time 0.608 (0.617)	Data 0.001 (0.005)	Loss 1.5245 (1.6348)	Prec@1 54.500 (55.992)	Prec@5 88.000 (84.457)
Epoch: [82][600/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 1.6090 (1.6354)	Prec@1 57.500 (55.962)	Prec@5 87.500 (84.455)
Epoch: [82][610/9018]	Time 0.599 (0.617)	Data 0.001 (0.004)	Loss 1.4247 (1.6351)	Prec@1 61.500 (55.958)	Prec@5 86.500 (84.462)
Epoch: [82][620/9018]	Time 0.633 (0.617)	Data 0.001 (0.004)	Loss 1.7305 (1.6352)	Prec@1 53.500 (55.981)	Prec@5 82.500 (84.440)
Epoch: [82][630/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 1.3666 (1.6352)	Prec@1 64.500 (55.976)	Prec@5 87.500 (84.436)
Epoch: [82][640/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 1.5965 (1.6345)	Prec@1 57.000 (55.984)	Prec@5 85.500 (84.446)
Epoch: [82][650/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 1.5889 (1.6343)	Prec@1 56.500 (55.995)	Prec@5 85.500 (84.452)
Epoch: [82][660/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 1.5150 (1.6343)	Prec@1 59.000 (55.995)	Prec@5 86.000 (84.446)
Epoch: [82][670/9018]	Time 0.605 (0.617)	Data 0.001 (0.004)	Loss 1.6059 (1.6346)	Prec@1 56.000 (55.993)	Prec@5 84.500 (84.443)
Epoch: [82][680/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 1.6172 (1.6340)	Prec@1 57.000 (56.026)	Prec@5 82.500 (84.444)
Epoch: [82][690/9018]	Time 0.611 (0.617)	Data 0.001 (0.004)	Loss 1.6706 (1.6340)	Prec@1 55.500 (56.008)	Prec@5 83.500 (84.449)
Epoch: [82][700/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 1.7214 (1.6340)	Prec@1 54.500 (56.019)	Prec@5 81.500 (84.450)
Epoch: [82][710/9018]	Time 0.606 (0.617)	Data 0.001 (0.004)	Loss 1.4494 (1.6337)	Prec@1 57.000 (56.015)	Prec@5 86.500 (84.464)
Epoch: [82][720/9018]	Time 0.606 (0.617)	Data 0.001 (0.004)	Loss 1.5826 (1.6336)	Prec@1 58.500 (56.010)	Prec@5 85.500 (84.475)
Epoch: [82][730/9018]	Time 0.593 (0.617)	Data 0.001 (0.004)	Loss 1.6199 (1.6332)	Prec@1 59.000 (56.030)	Prec@5 85.000 (84.478)
Epoch: [82][740/9018]	Time 0.599 (0.616)	Data 0.001 (0.004)	Loss 1.6805 (1.6332)	Prec@1 51.500 (56.032)	Prec@5 86.500 (84.477)
Epoch: [82][750/9018]	Time 0.606 (0.616)	Data 0.001 (0.004)	Loss 1.3636 (1.6322)	Prec@1 62.500 (56.048)	Prec@5 87.000 (84.495)
Epoch: [82][760/9018]	Time 0.624 (0.617)	Data 0.001 (0.004)	Loss 1.7892 (1.6331)	Prec@1 50.500 (56.038)	Prec@5 81.000 (84.467)
Epoch: [82][770/9018]	Time 0.604 (0.616)	Data 0.001 (0.004)	Loss 1.5216 (1.6333)	Prec@1 60.000 (56.024)	Prec@5 87.000 (84.458)
Epoch: [82][780/9018]	Time 0.601 (0.616)	Data 0.001 (0.004)	Loss 1.6454 (1.6327)	Prec@1 59.000 (56.038)	Prec@5 81.500 (84.458)
Epoch: [82][790/9018]	Time 0.604 (0.616)	Data 0.001 (0.004)	Loss 1.6712 (1.6338)	Prec@1 54.000 (56.030)	Prec@5 84.000 (84.440)
Epoch: [82][800/9018]	Time 0.598 (0.616)	Data 0.001 (0.004)	Loss 1.4645 (1.6335)	Prec@1 58.000 (56.038)	Prec@5 87.500 (84.426)
Epoch: [82][810/9018]	Time 0.620 (0.616)	Data 0.001 (0.004)	Loss 1.5508 (1.6332)	Prec@1 57.500 (56.054)	Prec@5 88.500 (84.433)
Epoch: [82][820/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.6598 (1.6340)	Prec@1 54.000 (56.029)	Prec@5 82.500 (84.432)
Epoch: [82][830/9018]	Time 0.590 (0.616)	Data 0.001 (0.003)	Loss 1.7847 (1.6336)	Prec@1 55.000 (56.048)	Prec@5 82.000 (84.426)
Epoch: [82][840/9018]	Time 0.730 (0.616)	Data 0.001 (0.003)	Loss 1.6097 (1.6334)	Prec@1 54.000 (56.032)	Prec@5 87.500 (84.437)
Epoch: [82][850/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.6919 (1.6336)	Prec@1 53.000 (56.020)	Prec@5 83.000 (84.438)
Epoch: [82][860/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.8438 (1.6345)	Prec@1 53.000 (55.989)	Prec@5 80.000 (84.427)
Epoch: [82][870/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.5371 (1.6343)	Prec@1 56.500 (56.002)	Prec@5 87.500 (84.432)
Epoch: [82][880/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.6797 (1.6344)	Prec@1 54.500 (56.002)	Prec@5 87.500 (84.437)
Epoch: [82][890/9018]	Time 0.744 (0.616)	Data 0.001 (0.003)	Loss 1.4652 (1.6344)	Prec@1 58.500 (56.008)	Prec@5 85.500 (84.433)
Epoch: [82][900/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.5618 (1.6348)	Prec@1 57.500 (55.999)	Prec@5 87.000 (84.435)
Epoch: [82][910/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 1.6007 (1.6351)	Prec@1 59.500 (55.984)	Prec@5 81.000 (84.424)
Epoch: [82][920/9018]	Time 0.616 (0.616)	Data 0.001 (0.003)	Loss 1.6320 (1.6358)	Prec@1 55.500 (55.984)	Prec@5 86.500 (84.420)
Epoch: [82][930/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.4101 (1.6351)	Prec@1 63.500 (55.991)	Prec@5 85.500 (84.434)
Epoch: [82][940/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.6867 (1.6355)	Prec@1 58.500 (55.986)	Prec@5 83.500 (84.417)
Epoch: [82][950/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 1.8985 (1.6356)	Prec@1 49.000 (55.981)	Prec@5 80.500 (84.407)
Epoch: [82][960/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.4871 (1.6352)	Prec@1 58.500 (55.996)	Prec@5 84.500 (84.405)
Epoch: [82][970/9018]	Time 0.620 (0.616)	Data 0.001 (0.003)	Loss 1.6315 (1.6345)	Prec@1 55.500 (56.011)	Prec@5 85.500 (84.415)
Epoch: [82][980/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.6277 (1.6347)	Prec@1 55.000 (56.006)	Prec@5 81.500 (84.406)
Epoch: [82][990/9018]	Time 0.616 (0.616)	Data 0.001 (0.003)	Loss 1.5699 (1.6346)	Prec@1 60.500 (56.003)	Prec@5 85.000 (84.404)
Epoch: [82][1000/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.8139 (1.6349)	Prec@1 52.000 (56.000)	Prec@5 85.500 (84.403)
Epoch: [82][1010/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.5830 (1.6351)	Prec@1 52.500 (55.998)	Prec@5 87.000 (84.398)
Epoch: [82][1020/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 1.2739 (1.6352)	Prec@1 62.500 (56.003)	Prec@5 91.500 (84.399)
Epoch: [82][1030/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.5813 (1.6349)	Prec@1 59.500 (56.007)	Prec@5 86.500 (84.415)
Epoch: [82][1040/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 1.5784 (1.6349)	Prec@1 61.500 (56.023)	Prec@5 83.500 (84.407)
Epoch: [82][1050/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.6188 (1.6345)	Prec@1 56.500 (56.018)	Prec@5 83.500 (84.413)
Epoch: [82][1060/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 1.6017 (1.6344)	Prec@1 51.500 (56.012)	Prec@5 84.000 (84.412)
Epoch: [82][1070/9018]	Time 0.592 (0.616)	Data 0.001 (0.003)	Loss 1.6523 (1.6341)	Prec@1 58.000 (56.014)	Prec@5 86.500 (84.422)
Epoch: [82][1080/9018]	Time 0.603 (0.616)	Data 0.001 (0.003)	Loss 1.6701 (1.6337)	Prec@1 54.000 (56.016)	Prec@5 84.500 (84.431)
Epoch: [82][1090/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.5724 (1.6340)	Prec@1 58.500 (56.009)	Prec@5 87.000 (84.432)
Epoch: [82][1100/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 1.6136 (1.6339)	Prec@1 53.500 (56.000)	Prec@5 86.000 (84.434)
Epoch: [82][1110/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.5998 (1.6346)	Prec@1 56.500 (55.978)	Prec@5 84.500 (84.428)
Epoch: [82][1120/9018]	Time 0.641 (0.616)	Data 0.001 (0.003)	Loss 1.7094 (1.6351)	Prec@1 55.000 (55.973)	Prec@5 82.500 (84.420)
Epoch: [82][1130/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.7081 (1.6352)	Prec@1 54.500 (55.969)	Prec@5 81.500 (84.420)
Epoch: [82][1140/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.5947 (1.6357)	Prec@1 55.500 (55.953)	Prec@5 84.000 (84.416)
Epoch: [82][1150/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.4863 (1.6357)	Prec@1 56.000 (55.951)	Prec@5 85.000 (84.414)
Epoch: [82][1160/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.7440 (1.6352)	Prec@1 52.500 (55.960)	Prec@5 81.500 (84.417)
Epoch: [82][1170/9018]	Time 0.761 (0.616)	Data 0.001 (0.003)	Loss 1.6939 (1.6350)	Prec@1 51.000 (55.965)	Prec@5 85.000 (84.416)
Epoch: [82][1180/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.6777 (1.6350)	Prec@1 58.000 (55.972)	Prec@5 82.500 (84.410)
Epoch: [82][1190/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.6185 (1.6349)	Prec@1 56.500 (55.980)	Prec@5 86.500 (84.417)
Epoch: [82][1200/9018]	Time 0.621 (0.616)	Data 0.001 (0.003)	Loss 1.5463 (1.6351)	Prec@1 60.500 (55.996)	Prec@5 85.500 (84.408)
Epoch: [82][1210/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 1.6094 (1.6354)	Prec@1 55.500 (55.981)	Prec@5 89.000 (84.412)
Epoch: [82][1220/9018]	Time 0.722 (0.616)	Data 0.001 (0.003)	Loss 1.4341 (1.6349)	Prec@1 56.500 (55.990)	Prec@5 88.000 (84.418)
Epoch: [82][1230/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.5077 (1.6345)	Prec@1 59.500 (56.005)	Prec@5 87.000 (84.427)
Epoch: [82][1240/9018]	Time 0.606 (0.616)	Data 0.001 (0.003)	Loss 1.7287 (1.6342)	Prec@1 55.000 (56.010)	Prec@5 83.500 (84.430)
Epoch: [82][1250/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.4703 (1.6341)	Prec@1 58.000 (56.001)	Prec@5 87.000 (84.436)
Epoch: [82][1260/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.4361 (1.6341)	Prec@1 64.000 (56.003)	Prec@5 86.500 (84.435)
Epoch: [82][1270/9018]	Time 0.631 (0.616)	Data 0.001 (0.003)	Loss 1.7000 (1.6341)	Prec@1 56.000 (56.009)	Prec@5 83.000 (84.435)
Epoch: [82][1280/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 1.4709 (1.6342)	Prec@1 61.500 (56.015)	Prec@5 87.500 (84.435)
Epoch: [82][1290/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.5075 (1.6340)	Prec@1 61.000 (56.023)	Prec@5 84.500 (84.442)
Epoch: [82][1300/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.6922 (1.6337)	Prec@1 53.000 (56.027)	Prec@5 86.500 (84.447)
Epoch: [82][1310/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.7238 (1.6337)	Prec@1 55.000 (56.025)	Prec@5 80.000 (84.447)
Epoch: [82][1320/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.7235 (1.6338)	Prec@1 53.000 (56.014)	Prec@5 84.000 (84.446)
Epoch: [82][1330/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 1.5651 (1.6337)	Prec@1 53.500 (56.016)	Prec@5 84.000 (84.451)
Epoch: [82][1340/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 1.6839 (1.6336)	Prec@1 59.000 (56.018)	Prec@5 81.500 (84.454)
Epoch: [82][1350/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 1.5792 (1.6338)	Prec@1 55.500 (56.004)	Prec@5 85.500 (84.450)
Epoch: [82][1360/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.6001 (1.6341)	Prec@1 54.500 (55.997)	Prec@5 85.500 (84.453)
Epoch: [82][1370/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 1.7252 (1.6334)	Prec@1 54.000 (56.013)	Prec@5 81.500 (84.470)
Epoch: [82][1380/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.6329 (1.6325)	Prec@1 60.000 (56.036)	Prec@5 85.000 (84.480)
Epoch: [82][1390/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 1.7038 (1.6327)	Prec@1 53.000 (56.040)	Prec@5 86.500 (84.476)
Epoch: [82][1400/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.7154 (1.6326)	Prec@1 57.000 (56.045)	Prec@5 79.500 (84.476)
Epoch: [82][1410/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 1.6657 (1.6327)	Prec@1 56.000 (56.041)	Prec@5 82.000 (84.470)
Epoch: [82][1420/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 1.7779 (1.6328)	Prec@1 55.000 (56.033)	Prec@5 84.000 (84.471)
Epoch: [82][1430/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.8954 (1.6338)	Prec@1 54.000 (56.008)	Prec@5 76.000 (84.455)
Epoch: [82][1440/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 1.6431 (1.6339)	Prec@1 53.000 (55.998)	Prec@5 85.500 (84.452)
Epoch: [82][1450/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 1.7742 (1.6340)	Prec@1 54.500 (55.992)	Prec@5 80.000 (84.450)
Epoch: [82][1460/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.6402 (1.6338)	Prec@1 56.000 (55.997)	Prec@5 88.500 (84.455)
Epoch: [82][1470/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.5737 (1.6339)	Prec@1 60.000 (56.000)	Prec@5 87.500 (84.456)
Epoch: [82][1480/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.4613 (1.6340)	Prec@1 58.500 (55.999)	Prec@5 87.500 (84.457)
Epoch: [82][1490/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.6396 (1.6344)	Prec@1 55.000 (55.997)	Prec@5 85.500 (84.453)
Epoch: [82][1500/9018]	Time 0.738 (0.616)	Data 0.001 (0.002)	Loss 1.5484 (1.6344)	Prec@1 54.500 (55.993)	Prec@5 86.500 (84.456)
Epoch: [82][1510/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.6354 (1.6344)	Prec@1 53.000 (55.990)	Prec@5 86.500 (84.466)
Epoch: [82][1520/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 1.5829 (1.6342)	Prec@1 59.000 (56.003)	Prec@5 86.500 (84.469)
Epoch: [82][1530/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.6443 (1.6343)	Prec@1 53.000 (55.997)	Prec@5 85.000 (84.472)
Epoch: [82][1540/9018]	Time 0.638 (0.616)	Data 0.001 (0.002)	Loss 1.6483 (1.6343)	Prec@1 56.500 (55.997)	Prec@5 86.000 (84.478)
Epoch: [82][1550/9018]	Time 0.721 (0.616)	Data 0.001 (0.002)	Loss 1.6323 (1.6341)	Prec@1 53.500 (56.003)	Prec@5 85.500 (84.480)
Epoch: [82][1560/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 1.7275 (1.6341)	Prec@1 50.500 (55.997)	Prec@5 84.000 (84.477)
Epoch: [82][1570/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.6466 (1.6344)	Prec@1 53.500 (55.979)	Prec@5 85.000 (84.476)
Epoch: [82][1580/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.4478 (1.6340)	Prec@1 60.500 (55.990)	Prec@5 86.500 (84.485)
Epoch: [82][1590/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.7892 (1.6341)	Prec@1 53.000 (55.990)	Prec@5 83.000 (84.482)
Epoch: [82][1600/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.4003 (1.6343)	Prec@1 62.500 (55.989)	Prec@5 87.000 (84.473)
Epoch: [82][1610/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.6418 (1.6343)	Prec@1 56.500 (55.987)	Prec@5 85.000 (84.471)
Epoch: [82][1620/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.6277 (1.6337)	Prec@1 54.000 (56.005)	Prec@5 81.500 (84.481)
Epoch: [82][1630/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.8360 (1.6340)	Prec@1 55.500 (56.011)	Prec@5 79.500 (84.476)
Epoch: [82][1640/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.9304 (1.6338)	Prec@1 50.000 (56.021)	Prec@5 82.000 (84.483)
Epoch: [82][1650/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 1.5359 (1.6334)	Prec@1 61.500 (56.025)	Prec@5 86.500 (84.488)
Epoch: [82][1660/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.5120 (1.6333)	Prec@1 59.000 (56.032)	Prec@5 86.500 (84.491)
Epoch: [82][1670/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.8052 (1.6334)	Prec@1 50.500 (56.022)	Prec@5 79.500 (84.494)
Epoch: [82][1680/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.6924 (1.6335)	Prec@1 57.000 (56.014)	Prec@5 84.500 (84.493)
Epoch: [82][1690/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.6470 (1.6336)	Prec@1 56.000 (56.014)	Prec@5 86.500 (84.497)
Epoch: [82][1700/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.5565 (1.6334)	Prec@1 58.500 (56.015)	Prec@5 85.500 (84.501)
Epoch: [82][1710/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 1.6489 (1.6333)	Prec@1 54.000 (56.011)	Prec@5 83.500 (84.502)
Epoch: [82][1720/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.7096 (1.6339)	Prec@1 52.000 (55.998)	Prec@5 82.000 (84.490)
Epoch: [82][1730/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 1.8744 (1.6343)	Prec@1 45.000 (55.991)	Prec@5 81.000 (84.486)
Epoch: [82][1740/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 1.6111 (1.6343)	Prec@1 58.500 (55.987)	Prec@5 84.000 (84.485)
Epoch: [82][1750/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.7057 (1.6345)	Prec@1 52.500 (55.986)	Prec@5 84.500 (84.481)
Epoch: [82][1760/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.3947 (1.6342)	Prec@1 61.500 (55.987)	Prec@5 85.500 (84.486)
Epoch: [82][1770/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.5116 (1.6338)	Prec@1 61.500 (55.996)	Prec@5 85.500 (84.493)
Epoch: [82][1780/9018]	Time 0.626 (0.616)	Data 0.001 (0.002)	Loss 1.4503 (1.6337)	Prec@1 61.500 (55.999)	Prec@5 88.000 (84.493)
Epoch: [82][1790/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.6604 (1.6338)	Prec@1 52.500 (55.990)	Prec@5 86.500 (84.494)
Epoch: [82][1800/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.4925 (1.6338)	Prec@1 57.500 (55.988)	Prec@5 88.000 (84.494)
Epoch: [82][1810/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 1.6891 (1.6339)	Prec@1 53.500 (55.980)	Prec@5 84.500 (84.496)
Epoch: [82][1820/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.7839 (1.6339)	Prec@1 54.000 (55.985)	Prec@5 85.500 (84.498)
Epoch: [82][1830/9018]	Time 0.744 (0.616)	Data 0.001 (0.002)	Loss 1.6004 (1.6336)	Prec@1 58.500 (55.992)	Prec@5 86.500 (84.500)
Epoch: [82][1840/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.7612 (1.6339)	Prec@1 52.500 (55.982)	Prec@5 84.000 (84.496)
Epoch: [82][1850/9018]	Time 0.589 (0.616)	Data 0.001 (0.002)	Loss 1.7536 (1.6339)	Prec@1 49.500 (55.984)	Prec@5 81.000 (84.486)
Epoch: [82][1860/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 1.7469 (1.6340)	Prec@1 53.000 (55.980)	Prec@5 83.500 (84.482)
Epoch: [82][1870/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.8527 (1.6339)	Prec@1 47.000 (55.985)	Prec@5 79.500 (84.484)
Epoch: [82][1880/9018]	Time 0.719 (0.616)	Data 0.001 (0.002)	Loss 1.6058 (1.6338)	Prec@1 54.000 (55.983)	Prec@5 85.500 (84.489)
Epoch: [82][1890/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.8103 (1.6340)	Prec@1 49.000 (55.982)	Prec@5 83.500 (84.485)
Epoch: [82][1900/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 1.6617 (1.6341)	Prec@1 57.500 (55.983)	Prec@5 84.000 (84.484)
Epoch: [82][1910/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.3912 (1.6340)	Prec@1 62.000 (55.981)	Prec@5 89.500 (84.483)
Epoch: [82][1920/9018]	Time 0.630 (0.616)	Data 0.001 (0.002)	Loss 1.6300 (1.6341)	Prec@1 55.500 (55.977)	Prec@5 85.500 (84.478)
Epoch: [82][1930/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.6409 (1.6341)	Prec@1 56.500 (55.978)	Prec@5 85.000 (84.479)
Epoch: [82][1940/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 1.5135 (1.6340)	Prec@1 56.500 (55.973)	Prec@5 87.000 (84.482)
Epoch: [82][1950/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.5964 (1.6340)	Prec@1 51.500 (55.966)	Prec@5 87.000 (84.481)
Epoch: [82][1960/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.9777 (1.6344)	Prec@1 51.500 (55.958)	Prec@5 79.000 (84.475)
Epoch: [82][1970/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.8394 (1.6346)	Prec@1 52.000 (55.958)	Prec@5 78.500 (84.471)
Epoch: [82][1980/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.4630 (1.6347)	Prec@1 55.000 (55.954)	Prec@5 83.500 (84.466)
Epoch: [82][1990/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.6226 (1.6352)	Prec@1 57.000 (55.949)	Prec@5 86.500 (84.458)
Epoch: [82][2000/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.4872 (1.6351)	Prec@1 60.500 (55.954)	Prec@5 88.000 (84.462)
Epoch: [82][2010/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 1.8301 (1.6350)	Prec@1 52.000 (55.954)	Prec@5 80.000 (84.463)
Epoch: [82][2020/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 1.5296 (1.6351)	Prec@1 58.500 (55.957)	Prec@5 85.000 (84.461)
Epoch: [82][2030/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.5697 (1.6353)	Prec@1 61.000 (55.948)	Prec@5 83.000 (84.450)
Epoch: [82][2040/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 1.5496 (1.6352)	Prec@1 56.500 (55.947)	Prec@5 85.500 (84.453)
Epoch: [82][2050/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.4403 (1.6352)	Prec@1 55.500 (55.948)	Prec@5 89.000 (84.454)
Epoch: [82][2060/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.5607 (1.6349)	Prec@1 56.500 (55.956)	Prec@5 85.000 (84.458)
Epoch: [82][2070/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.8957 (1.6350)	Prec@1 49.500 (55.953)	Prec@5 84.000 (84.454)
Epoch: [82][2080/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.8334 (1.6350)	Prec@1 46.000 (55.947)	Prec@5 81.500 (84.457)
Epoch: [82][2090/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.6451 (1.6349)	Prec@1 54.500 (55.944)	Prec@5 84.000 (84.460)
Epoch: [82][2100/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 1.5138 (1.6350)	Prec@1 58.000 (55.939)	Prec@5 87.500 (84.463)
Epoch: [82][2110/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.4134 (1.6347)	Prec@1 57.500 (55.944)	Prec@5 87.500 (84.468)
Epoch: [82][2120/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.6683 (1.6347)	Prec@1 56.000 (55.950)	Prec@5 83.500 (84.470)
Epoch: [82][2130/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.5715 (1.6346)	Prec@1 59.000 (55.950)	Prec@5 84.500 (84.473)
Epoch: [82][2140/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 1.7670 (1.6348)	Prec@1 53.000 (55.952)	Prec@5 84.500 (84.467)
Epoch: [82][2150/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.5541 (1.6349)	Prec@1 60.000 (55.947)	Prec@5 86.000 (84.463)
Epoch: [82][2160/9018]	Time 0.723 (0.616)	Data 0.001 (0.002)	Loss 1.7809 (1.6356)	Prec@1 55.500 (55.938)	Prec@5 85.000 (84.453)
Epoch: [82][2170/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.4498 (1.6353)	Prec@1 59.000 (55.948)	Prec@5 88.000 (84.459)
Epoch: [82][2180/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.6253 (1.6354)	Prec@1 57.000 (55.942)	Prec@5 85.500 (84.461)
Epoch: [82][2190/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.6545 (1.6353)	Prec@1 58.500 (55.945)	Prec@5 85.500 (84.463)
Epoch: [82][2200/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.7583 (1.6351)	Prec@1 49.500 (55.949)	Prec@5 82.500 (84.468)
Epoch: [82][2210/9018]	Time 0.734 (0.615)	Data 0.001 (0.002)	Loss 1.7021 (1.6349)	Prec@1 55.500 (55.954)	Prec@5 82.000 (84.469)
Epoch: [82][2220/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 1.8011 (1.6351)	Prec@1 48.500 (55.946)	Prec@5 81.000 (84.467)
Epoch: [82][2230/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.6909 (1.6354)	Prec@1 53.000 (55.940)	Prec@5 81.500 (84.461)
Epoch: [82][2240/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.7511 (1.6354)	Prec@1 50.500 (55.941)	Prec@5 83.000 (84.461)
Epoch: [82][2250/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.4723 (1.6352)	Prec@1 61.000 (55.945)	Prec@5 84.500 (84.461)
Epoch: [82][2260/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.7664 (1.6352)	Prec@1 52.500 (55.946)	Prec@5 81.000 (84.455)
Epoch: [82][2270/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 1.5331 (1.6350)	Prec@1 56.500 (55.950)	Prec@5 84.500 (84.462)
Epoch: [82][2280/9018]	Time 0.589 (0.615)	Data 0.001 (0.002)	Loss 1.7790 (1.6348)	Prec@1 53.500 (55.959)	Prec@5 79.500 (84.462)
Epoch: [82][2290/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 1.6353 (1.6349)	Prec@1 53.000 (55.959)	Prec@5 86.000 (84.462)
Epoch: [82][2300/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 1.5779 (1.6345)	Prec@1 54.000 (55.969)	Prec@5 86.000 (84.464)
Epoch: [82][2310/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.6980 (1.6347)	Prec@1 54.500 (55.968)	Prec@5 84.500 (84.457)
Epoch: [82][2320/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.6508 (1.6347)	Prec@1 56.500 (55.973)	Prec@5 85.000 (84.456)
Epoch: [82][2330/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 1.6396 (1.6350)	Prec@1 57.500 (55.962)	Prec@5 82.000 (84.449)
Epoch: [82][2340/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.8259 (1.6350)	Prec@1 53.500 (55.965)	Prec@5 81.500 (84.451)
Epoch: [82][2350/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.5605 (1.6348)	Prec@1 54.500 (55.964)	Prec@5 86.500 (84.460)
Epoch: [82][2360/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.7184 (1.6351)	Prec@1 53.500 (55.954)	Prec@5 83.500 (84.458)
Epoch: [82][2370/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.4440 (1.6350)	Prec@1 64.500 (55.954)	Prec@5 87.000 (84.456)
Epoch: [82][2380/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.6505 (1.6351)	Prec@1 56.000 (55.953)	Prec@5 83.500 (84.457)
Epoch: [82][2390/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.5466 (1.6350)	Prec@1 57.000 (55.958)	Prec@5 86.500 (84.460)
Epoch: [82][2400/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.4225 (1.6348)	Prec@1 62.500 (55.963)	Prec@5 88.000 (84.461)
Epoch: [82][2410/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.6995 (1.6348)	Prec@1 56.500 (55.970)	Prec@5 80.500 (84.459)
Epoch: [82][2420/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.6888 (1.6349)	Prec@1 49.500 (55.964)	Prec@5 84.500 (84.459)
Epoch: [82][2430/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.8051 (1.6351)	Prec@1 55.500 (55.961)	Prec@5 80.500 (84.452)
Epoch: [82][2440/9018]	Time 0.626 (0.615)	Data 0.002 (0.002)	Loss 1.6967 (1.6350)	Prec@1 57.500 (55.960)	Prec@5 84.000 (84.453)
Epoch: [82][2450/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.5733 (1.6349)	Prec@1 55.500 (55.962)	Prec@5 85.000 (84.451)
Epoch: [82][2460/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.5858 (1.6349)	Prec@1 60.500 (55.961)	Prec@5 84.000 (84.450)
Epoch: [82][2470/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.7246 (1.6349)	Prec@1 55.500 (55.966)	Prec@5 81.500 (84.451)
Epoch: [82][2480/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.6896 (1.6351)	Prec@1 56.500 (55.963)	Prec@5 81.500 (84.445)
Epoch: [82][2490/9018]	Time 0.735 (0.615)	Data 0.001 (0.002)	Loss 1.5956 (1.6350)	Prec@1 58.500 (55.966)	Prec@5 86.000 (84.449)
Epoch: [82][2500/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.5397 (1.6349)	Prec@1 56.000 (55.962)	Prec@5 87.500 (84.450)
Epoch: [82][2510/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.6296 (1.6350)	Prec@1 56.000 (55.960)	Prec@5 86.000 (84.446)
Epoch: [82][2520/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.7585 (1.6351)	Prec@1 51.500 (55.959)	Prec@5 83.000 (84.446)
Epoch: [82][2530/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.5886 (1.6350)	Prec@1 56.000 (55.965)	Prec@5 84.500 (84.446)
Epoch: [82][2540/9018]	Time 0.725 (0.615)	Data 0.001 (0.002)	Loss 1.8141 (1.6350)	Prec@1 52.500 (55.968)	Prec@5 81.000 (84.443)
Epoch: [82][2550/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.7741 (1.6349)	Prec@1 50.000 (55.971)	Prec@5 82.000 (84.443)
Epoch: [82][2560/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.7462 (1.6349)	Prec@1 54.500 (55.970)	Prec@5 82.500 (84.445)
Epoch: [82][2570/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.5525 (1.6351)	Prec@1 60.500 (55.971)	Prec@5 87.000 (84.445)
Epoch: [82][2580/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.7833 (1.6355)	Prec@1 55.500 (55.960)	Prec@5 83.500 (84.437)
Epoch: [82][2590/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.3345 (1.6352)	Prec@1 63.500 (55.962)	Prec@5 90.000 (84.443)
Epoch: [82][2600/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 1.6231 (1.6353)	Prec@1 58.000 (55.962)	Prec@5 84.500 (84.440)
Epoch: [82][2610/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.7101 (1.6356)	Prec@1 53.500 (55.956)	Prec@5 84.000 (84.436)
Epoch: [82][2620/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.6181 (1.6359)	Prec@1 58.000 (55.947)	Prec@5 83.500 (84.431)
Epoch: [82][2630/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 1.7752 (1.6361)	Prec@1 49.000 (55.946)	Prec@5 80.500 (84.426)
Epoch: [82][2640/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.6935 (1.6363)	Prec@1 53.000 (55.941)	Prec@5 84.000 (84.423)
Epoch: [82][2650/9018]	Time 0.638 (0.615)	Data 0.001 (0.002)	Loss 1.6465 (1.6363)	Prec@1 61.500 (55.936)	Prec@5 84.500 (84.425)
Epoch: [82][2660/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.7551 (1.6366)	Prec@1 54.000 (55.930)	Prec@5 81.500 (84.421)
Epoch: [82][2670/9018]	Time 0.623 (0.615)	Data 0.002 (0.002)	Loss 1.6393 (1.6366)	Prec@1 56.500 (55.933)	Prec@5 83.500 (84.422)
Epoch: [82][2680/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.5666 (1.6366)	Prec@1 54.000 (55.930)	Prec@5 85.500 (84.422)
Epoch: [82][2690/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.7959 (1.6366)	Prec@1 53.000 (55.934)	Prec@5 84.500 (84.423)
Epoch: [82][2700/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.7300 (1.6365)	Prec@1 51.000 (55.932)	Prec@5 83.500 (84.425)
Epoch: [82][2710/9018]	Time 0.638 (0.615)	Data 0.001 (0.002)	Loss 1.6438 (1.6367)	Prec@1 54.000 (55.923)	Prec@5 88.000 (84.423)
Epoch: [82][2720/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.5773 (1.6367)	Prec@1 59.500 (55.920)	Prec@5 87.500 (84.423)
Epoch: [82][2730/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.6148 (1.6365)	Prec@1 57.000 (55.927)	Prec@5 83.500 (84.425)
Epoch: [82][2740/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 1.7699 (1.6367)	Prec@1 50.000 (55.922)	Prec@5 86.500 (84.423)
Epoch: [82][2750/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.7165 (1.6367)	Prec@1 56.500 (55.921)	Prec@5 82.000 (84.418)
Epoch: [82][2760/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.3836 (1.6366)	Prec@1 62.500 (55.923)	Prec@5 89.000 (84.420)
Epoch: [82][2770/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 1.6257 (1.6367)	Prec@1 55.500 (55.918)	Prec@5 83.500 (84.422)
Epoch: [82][2780/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 1.7510 (1.6368)	Prec@1 52.000 (55.915)	Prec@5 82.500 (84.421)
Epoch: [82][2790/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.4530 (1.6366)	Prec@1 61.000 (55.923)	Prec@5 86.000 (84.419)
Epoch: [82][2800/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.6720 (1.6365)	Prec@1 55.000 (55.923)	Prec@5 81.500 (84.421)
Epoch: [82][2810/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 1.7354 (1.6368)	Prec@1 53.000 (55.915)	Prec@5 84.500 (84.417)
Epoch: [82][2820/9018]	Time 0.738 (0.615)	Data 0.001 (0.002)	Loss 1.7089 (1.6369)	Prec@1 54.000 (55.910)	Prec@5 82.500 (84.413)
Epoch: [82][2830/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.8175 (1.6371)	Prec@1 52.000 (55.907)	Prec@5 80.000 (84.411)
Epoch: [82][2840/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 1.7454 (1.6369)	Prec@1 51.500 (55.914)	Prec@5 85.500 (84.414)
Epoch: [82][2850/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 1.5973 (1.6370)	Prec@1 60.000 (55.910)	Prec@5 85.000 (84.410)
Epoch: [82][2860/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.5160 (1.6371)	Prec@1 59.000 (55.914)	Prec@5 87.500 (84.411)
Epoch: [82][2870/9018]	Time 0.726 (0.615)	Data 0.001 (0.002)	Loss 1.6722 (1.6372)	Prec@1 56.000 (55.911)	Prec@5 86.000 (84.407)
Epoch: [82][2880/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.4070 (1.6371)	Prec@1 63.500 (55.913)	Prec@5 88.000 (84.407)
Epoch: [82][2890/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.7317 (1.6373)	Prec@1 55.000 (55.909)	Prec@5 83.000 (84.407)
Epoch: [82][2900/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.6469 (1.6370)	Prec@1 52.500 (55.916)	Prec@5 84.500 (84.408)
Epoch: [82][2910/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.5360 (1.6370)	Prec@1 58.500 (55.913)	Prec@5 87.000 (84.405)
Epoch: [82][2920/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.6446 (1.6370)	Prec@1 48.500 (55.909)	Prec@5 84.500 (84.408)
Epoch: [82][2930/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.7771 (1.6370)	Prec@1 51.000 (55.911)	Prec@5 83.000 (84.409)
Epoch: [82][2940/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.6361 (1.6369)	Prec@1 55.000 (55.912)	Prec@5 83.500 (84.411)
Epoch: [82][2950/9018]	Time 0.639 (0.615)	Data 0.001 (0.002)	Loss 1.5555 (1.6370)	Prec@1 60.000 (55.913)	Prec@5 84.500 (84.409)
Epoch: [82][2960/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.5798 (1.6369)	Prec@1 55.000 (55.912)	Prec@5 86.000 (84.411)
Epoch: [82][2970/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.5594 (1.6366)	Prec@1 58.500 (55.922)	Prec@5 84.500 (84.419)
Epoch: [82][2980/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 1.7729 (1.6368)	Prec@1 51.000 (55.913)	Prec@5 86.500 (84.416)
Epoch: [82][2990/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.5719 (1.6370)	Prec@1 55.500 (55.905)	Prec@5 86.500 (84.415)
Epoch: [82][3000/9018]	Time 0.623 (0.615)	Data 0.001 (0.002)	Loss 1.7133 (1.6371)	Prec@1 55.000 (55.907)	Prec@5 83.000 (84.416)
Epoch: [82][3010/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.5761 (1.6371)	Prec@1 56.500 (55.903)	Prec@5 87.500 (84.414)
Epoch: [82][3020/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.6916 (1.6372)	Prec@1 53.000 (55.905)	Prec@5 84.000 (84.415)
Epoch: [82][3030/9018]	Time 0.640 (0.615)	Data 0.001 (0.002)	Loss 1.4978 (1.6370)	Prec@1 60.500 (55.908)	Prec@5 87.500 (84.419)
Epoch: [82][3040/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.6000 (1.6369)	Prec@1 57.500 (55.916)	Prec@5 85.000 (84.420)
Epoch: [82][3050/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 1.7420 (1.6371)	Prec@1 55.500 (55.916)	Prec@5 83.000 (84.415)
Epoch: [82][3060/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.5973 (1.6370)	Prec@1 54.500 (55.921)	Prec@5 85.000 (84.416)
Epoch: [82][3070/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.5138 (1.6372)	Prec@1 55.500 (55.916)	Prec@5 87.500 (84.413)
Epoch: [82][3080/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 1.2495 (1.6369)	Prec@1 67.500 (55.924)	Prec@5 89.000 (84.417)
Epoch: [82][3090/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.7473 (1.6368)	Prec@1 48.500 (55.924)	Prec@5 84.000 (84.419)
Epoch: [82][3100/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 1.7781 (1.6366)	Prec@1 55.000 (55.931)	Prec@5 83.000 (84.420)
Epoch: [82][3110/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.4633 (1.6364)	Prec@1 62.500 (55.940)	Prec@5 86.500 (84.424)
Epoch: [82][3120/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6479 (1.6365)	Prec@1 56.000 (55.935)	Prec@5 80.500 (84.421)
Epoch: [82][3130/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.5872 (1.6364)	Prec@1 56.500 (55.937)	Prec@5 84.000 (84.424)
Epoch: [82][3140/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7121 (1.6365)	Prec@1 53.000 (55.934)	Prec@5 86.500 (84.421)
Epoch: [82][3150/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 1.5156 (1.6364)	Prec@1 57.500 (55.937)	Prec@5 85.000 (84.421)
Epoch: [82][3160/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5413 (1.6365)	Prec@1 57.000 (55.936)	Prec@5 88.000 (84.419)
Epoch: [82][3170/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6889 (1.6368)	Prec@1 57.000 (55.935)	Prec@5 81.000 (84.416)
Epoch: [82][3180/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7892 (1.6368)	Prec@1 56.500 (55.937)	Prec@5 82.500 (84.417)
Epoch: [82][3190/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8521 (1.6367)	Prec@1 49.000 (55.941)	Prec@5 82.000 (84.419)
Epoch: [82][3200/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 1.7748 (1.6368)	Prec@1 51.500 (55.944)	Prec@5 82.000 (84.419)
Epoch: [82][3210/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 1.5101 (1.6369)	Prec@1 55.500 (55.943)	Prec@5 87.000 (84.418)
Epoch: [82][3220/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.7168 (1.6369)	Prec@1 56.500 (55.947)	Prec@5 85.500 (84.419)
Epoch: [82][3230/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6372 (1.6371)	Prec@1 60.000 (55.944)	Prec@5 82.500 (84.415)
Epoch: [82][3240/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.4900 (1.6372)	Prec@1 58.500 (55.943)	Prec@5 85.000 (84.411)
Epoch: [82][3250/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7176 (1.6372)	Prec@1 57.500 (55.942)	Prec@5 81.000 (84.411)
Epoch: [82][3260/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8233 (1.6374)	Prec@1 53.500 (55.936)	Prec@5 80.500 (84.409)
Epoch: [82][3270/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8580 (1.6376)	Prec@1 52.000 (55.933)	Prec@5 82.500 (84.404)
Epoch: [82][3280/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.6229 (1.6376)	Prec@1 57.000 (55.933)	Prec@5 86.500 (84.407)
Epoch: [82][3290/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7543 (1.6376)	Prec@1 48.500 (55.930)	Prec@5 83.000 (84.409)
Epoch: [82][3300/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.8867 (1.6379)	Prec@1 49.000 (55.923)	Prec@5 83.500 (84.406)
Epoch: [82][3310/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.7023 (1.6380)	Prec@1 54.000 (55.922)	Prec@5 79.500 (84.404)
Epoch: [82][3320/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.4120 (1.6381)	Prec@1 59.500 (55.923)	Prec@5 89.500 (84.404)
Epoch: [82][3330/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.6972 (1.6381)	Prec@1 56.000 (55.921)	Prec@5 83.500 (84.405)
Epoch: [82][3340/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.7216 (1.6383)	Prec@1 54.000 (55.915)	Prec@5 80.000 (84.402)
Epoch: [82][3350/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6165 (1.6382)	Prec@1 59.000 (55.916)	Prec@5 83.500 (84.405)
Epoch: [82][3360/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.3351 (1.6381)	Prec@1 61.000 (55.922)	Prec@5 90.000 (84.404)
Epoch: [82][3370/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6399 (1.6380)	Prec@1 57.000 (55.926)	Prec@5 87.000 (84.405)
Epoch: [82][3380/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.6893 (1.6381)	Prec@1 50.500 (55.922)	Prec@5 83.500 (84.404)
Epoch: [82][3390/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.7085 (1.6379)	Prec@1 55.000 (55.921)	Prec@5 81.000 (84.404)
Epoch: [82][3400/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.6906 (1.6380)	Prec@1 49.000 (55.919)	Prec@5 86.500 (84.408)
Epoch: [82][3410/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.5326 (1.6380)	Prec@1 56.000 (55.915)	Prec@5 88.000 (84.411)
Epoch: [82][3420/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.7466 (1.6381)	Prec@1 54.000 (55.914)	Prec@5 82.000 (84.408)
Epoch: [82][3430/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.7607 (1.6382)	Prec@1 50.000 (55.910)	Prec@5 82.000 (84.404)
Epoch: [82][3440/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.5583 (1.6384)	Prec@1 61.000 (55.907)	Prec@5 86.000 (84.401)
Epoch: [82][3450/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.6059 (1.6383)	Prec@1 59.000 (55.907)	Prec@5 85.000 (84.403)
Epoch: [82][3460/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5357 (1.6384)	Prec@1 62.000 (55.907)	Prec@5 85.500 (84.401)
Epoch: [82][3470/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.4076 (1.6384)	Prec@1 59.500 (55.904)	Prec@5 89.500 (84.401)
Epoch: [82][3480/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 1.9053 (1.6386)	Prec@1 48.000 (55.900)	Prec@5 81.000 (84.398)
Epoch: [82][3490/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6211 (1.6387)	Prec@1 56.500 (55.897)	Prec@5 82.000 (84.397)
Epoch: [82][3500/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6629 (1.6388)	Prec@1 55.500 (55.894)	Prec@5 85.500 (84.394)
Epoch: [82][3510/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7965 (1.6389)	Prec@1 56.000 (55.893)	Prec@5 81.500 (84.392)
Epoch: [82][3520/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7599 (1.6389)	Prec@1 54.000 (55.894)	Prec@5 83.000 (84.394)
Epoch: [82][3530/9018]	Time 0.760 (0.615)	Data 0.001 (0.001)	Loss 1.5995 (1.6387)	Prec@1 60.000 (55.898)	Prec@5 84.500 (84.397)
Epoch: [82][3540/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7532 (1.6389)	Prec@1 54.500 (55.897)	Prec@5 83.000 (84.396)
Epoch: [82][3550/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.8161 (1.6391)	Prec@1 53.000 (55.891)	Prec@5 81.000 (84.397)
Epoch: [82][3560/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 1.7259 (1.6390)	Prec@1 54.500 (55.889)	Prec@5 82.000 (84.398)
Epoch: [82][3570/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6357 (1.6390)	Prec@1 59.000 (55.891)	Prec@5 83.500 (84.395)
Epoch: [82][3580/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7003 (1.6391)	Prec@1 53.000 (55.892)	Prec@5 84.000 (84.395)
Epoch: [82][3590/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.4363 (1.6391)	Prec@1 58.500 (55.890)	Prec@5 84.500 (84.393)
Epoch: [82][3600/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.5232 (1.6390)	Prec@1 55.000 (55.893)	Prec@5 87.000 (84.397)
Epoch: [82][3610/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.7063 (1.6392)	Prec@1 55.500 (55.887)	Prec@5 83.000 (84.392)
Epoch: [82][3620/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7575 (1.6391)	Prec@1 54.000 (55.888)	Prec@5 82.500 (84.394)
Epoch: [82][3630/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.8456 (1.6391)	Prec@1 55.000 (55.892)	Prec@5 79.000 (84.394)
Epoch: [82][3640/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.7845 (1.6392)	Prec@1 49.000 (55.887)	Prec@5 86.000 (84.392)
Epoch: [82][3650/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.8333 (1.6392)	Prec@1 49.500 (55.891)	Prec@5 82.500 (84.393)
Epoch: [82][3660/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 1.6461 (1.6391)	Prec@1 53.500 (55.894)	Prec@5 84.000 (84.396)
Epoch: [82][3670/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.4324 (1.6392)	Prec@1 59.000 (55.891)	Prec@5 90.000 (84.396)
Epoch: [82][3680/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.4728 (1.6391)	Prec@1 61.000 (55.898)	Prec@5 86.500 (84.396)
Epoch: [82][3690/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.7088 (1.6391)	Prec@1 55.500 (55.896)	Prec@5 81.500 (84.395)
Epoch: [82][3700/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6636 (1.6392)	Prec@1 54.000 (55.893)	Prec@5 84.500 (84.394)
Epoch: [82][3710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6443 (1.6392)	Prec@1 57.000 (55.896)	Prec@5 84.000 (84.395)
Epoch: [82][3720/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.7348 (1.6395)	Prec@1 54.500 (55.887)	Prec@5 83.500 (84.388)
Epoch: [82][3730/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.6285 (1.6396)	Prec@1 58.500 (55.882)	Prec@5 86.500 (84.386)
Epoch: [82][3740/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.5117 (1.6396)	Prec@1 58.500 (55.881)	Prec@5 86.500 (84.386)
Epoch: [82][3750/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 1.7413 (1.6398)	Prec@1 55.000 (55.875)	Prec@5 83.500 (84.386)
Epoch: [82][3760/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.6697 (1.6398)	Prec@1 56.000 (55.875)	Prec@5 84.000 (84.384)
Epoch: [82][3770/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7931 (1.6399)	Prec@1 54.500 (55.873)	Prec@5 81.000 (84.382)
Epoch: [82][3780/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.6250 (1.6400)	Prec@1 59.000 (55.869)	Prec@5 84.500 (84.383)
Epoch: [82][3790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5941 (1.6399)	Prec@1 57.500 (55.871)	Prec@5 86.000 (84.384)
Epoch: [82][3800/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.5924 (1.6399)	Prec@1 58.500 (55.870)	Prec@5 82.500 (84.385)
Epoch: [82][3810/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 1.4870 (1.6399)	Prec@1 62.000 (55.870)	Prec@5 87.000 (84.387)
Epoch: [82][3820/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.5292 (1.6399)	Prec@1 57.000 (55.871)	Prec@5 88.000 (84.388)
Epoch: [82][3830/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.5679 (1.6399)	Prec@1 54.500 (55.870)	Prec@5 85.000 (84.387)
Epoch: [82][3840/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.6343 (1.6398)	Prec@1 58.000 (55.875)	Prec@5 83.500 (84.386)
Epoch: [82][3850/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.7206 (1.6399)	Prec@1 54.000 (55.875)	Prec@5 84.500 (84.387)
Epoch: [82][3860/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 1.7335 (1.6400)	Prec@1 55.500 (55.872)	Prec@5 83.000 (84.387)
Epoch: [82][3870/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7587 (1.6398)	Prec@1 52.000 (55.875)	Prec@5 84.500 (84.392)
Epoch: [82][3880/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5277 (1.6400)	Prec@1 62.000 (55.873)	Prec@5 86.500 (84.387)
Epoch: [82][3890/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6477 (1.6400)	Prec@1 57.500 (55.871)	Prec@5 83.000 (84.387)
Epoch: [82][3900/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.4365 (1.6400)	Prec@1 62.000 (55.872)	Prec@5 87.500 (84.389)
Epoch: [82][3910/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8816 (1.6400)	Prec@1 52.500 (55.873)	Prec@5 81.000 (84.389)
Epoch: [82][3920/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.4807 (1.6400)	Prec@1 56.500 (55.871)	Prec@5 91.000 (84.388)
Epoch: [82][3930/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5765 (1.6400)	Prec@1 59.000 (55.868)	Prec@5 85.500 (84.388)
Epoch: [82][3940/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.7369 (1.6401)	Prec@1 54.000 (55.866)	Prec@5 82.500 (84.387)
Epoch: [82][3950/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.5487 (1.6401)	Prec@1 58.500 (55.867)	Prec@5 85.000 (84.386)
Epoch: [82][3960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5933 (1.6401)	Prec@1 56.500 (55.865)	Prec@5 84.000 (84.388)
Epoch: [82][3970/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.6444 (1.6402)	Prec@1 56.000 (55.863)	Prec@5 86.500 (84.382)
Epoch: [82][3980/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.6542 (1.6402)	Prec@1 55.500 (55.863)	Prec@5 87.000 (84.385)
Epoch: [82][3990/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.6145 (1.6403)	Prec@1 54.000 (55.859)	Prec@5 84.500 (84.385)
Epoch: [82][4000/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.6513 (1.6404)	Prec@1 57.000 (55.858)	Prec@5 82.000 (84.381)
Epoch: [82][4010/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8388 (1.6404)	Prec@1 51.000 (55.857)	Prec@5 81.000 (84.382)
Epoch: [82][4020/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6112 (1.6406)	Prec@1 55.500 (55.852)	Prec@5 83.500 (84.379)
Epoch: [82][4030/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.7360 (1.6406)	Prec@1 57.000 (55.852)	Prec@5 82.000 (84.378)
Epoch: [82][4040/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6634 (1.6407)	Prec@1 56.000 (55.849)	Prec@5 83.000 (84.376)
Epoch: [82][4050/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6191 (1.6408)	Prec@1 58.500 (55.847)	Prec@5 81.500 (84.373)
Epoch: [82][4060/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9605 (1.6409)	Prec@1 50.500 (55.846)	Prec@5 79.000 (84.372)
Epoch: [82][4070/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.7005 (1.6409)	Prec@1 51.000 (55.845)	Prec@5 84.500 (84.370)
Epoch: [82][4080/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.7111 (1.6409)	Prec@1 55.000 (55.846)	Prec@5 84.000 (84.370)
Epoch: [82][4090/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.7401 (1.6411)	Prec@1 60.500 (55.844)	Prec@5 83.000 (84.367)
Epoch: [82][4100/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.8111 (1.6412)	Prec@1 54.000 (55.841)	Prec@5 82.500 (84.367)
Epoch: [82][4110/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6878 (1.6412)	Prec@1 56.000 (55.842)	Prec@5 85.000 (84.367)
Epoch: [82][4120/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.5785 (1.6413)	Prec@1 58.000 (55.841)	Prec@5 83.000 (84.365)
Epoch: [82][4130/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6647 (1.6414)	Prec@1 51.500 (55.839)	Prec@5 84.000 (84.364)
Epoch: [82][4140/9018]	Time 0.746 (0.615)	Data 0.001 (0.001)	Loss 1.6401 (1.6413)	Prec@1 55.500 (55.841)	Prec@5 83.500 (84.365)
Epoch: [82][4150/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.4891 (1.6413)	Prec@1 59.000 (55.841)	Prec@5 85.000 (84.364)
Epoch: [82][4160/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.5722 (1.6414)	Prec@1 57.500 (55.841)	Prec@5 83.000 (84.363)
Epoch: [82][4170/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.3666 (1.6412)	Prec@1 64.000 (55.844)	Prec@5 89.000 (84.366)
Epoch: [82][4180/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7026 (1.6412)	Prec@1 54.000 (55.844)	Prec@5 84.000 (84.367)
Epoch: [82][4190/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 1.6696 (1.6412)	Prec@1 51.000 (55.843)	Prec@5 84.000 (84.368)
Epoch: [82][4200/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7853 (1.6412)	Prec@1 52.500 (55.848)	Prec@5 84.500 (84.368)
Epoch: [82][4210/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.6810 (1.6413)	Prec@1 56.000 (55.847)	Prec@5 83.500 (84.367)
Epoch: [82][4220/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.7343 (1.6413)	Prec@1 58.500 (55.844)	Prec@5 83.500 (84.366)
Epoch: [82][4230/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.5768 (1.6414)	Prec@1 58.000 (55.844)	Prec@5 83.000 (84.365)
Epoch: [82][4240/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6379 (1.6413)	Prec@1 59.500 (55.847)	Prec@5 82.000 (84.364)
Epoch: [82][4250/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.7598 (1.6412)	Prec@1 53.000 (55.851)	Prec@5 82.500 (84.368)
Epoch: [82][4260/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5741 (1.6412)	Prec@1 59.500 (55.852)	Prec@5 83.000 (84.368)
Epoch: [82][4270/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.5427 (1.6412)	Prec@1 56.000 (55.855)	Prec@5 87.000 (84.368)
Epoch: [82][4280/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.5740 (1.6413)	Prec@1 54.500 (55.851)	Prec@5 86.000 (84.366)
Epoch: [82][4290/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.7553 (1.6412)	Prec@1 56.500 (55.853)	Prec@5 80.000 (84.366)
Epoch: [82][4300/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.4623 (1.6412)	Prec@1 60.000 (55.855)	Prec@5 87.500 (84.367)
Epoch: [82][4310/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5978 (1.6412)	Prec@1 54.500 (55.857)	Prec@5 84.000 (84.367)
Epoch: [82][4320/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6725 (1.6411)	Prec@1 57.500 (55.863)	Prec@5 81.000 (84.367)
Epoch: [82][4330/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5082 (1.6411)	Prec@1 59.500 (55.862)	Prec@5 85.000 (84.367)
Epoch: [82][4340/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6701 (1.6410)	Prec@1 53.500 (55.866)	Prec@5 84.000 (84.369)
Epoch: [82][4350/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.6503 (1.6410)	Prec@1 54.000 (55.866)	Prec@5 84.000 (84.369)
Epoch: [82][4360/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.5672 (1.6410)	Prec@1 58.000 (55.864)	Prec@5 85.000 (84.369)
Epoch: [82][4370/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.4142 (1.6410)	Prec@1 63.000 (55.865)	Prec@5 87.000 (84.369)
Epoch: [82][4380/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.6594 (1.6409)	Prec@1 55.500 (55.868)	Prec@5 84.000 (84.370)
Epoch: [82][4390/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6176 (1.6410)	Prec@1 56.000 (55.867)	Prec@5 87.000 (84.369)
Epoch: [82][4400/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.7355 (1.6409)	Prec@1 54.500 (55.868)	Prec@5 83.500 (84.369)
Epoch: [82][4410/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.7251 (1.6409)	Prec@1 52.500 (55.867)	Prec@5 82.500 (84.369)
Epoch: [82][4420/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.7069 (1.6410)	Prec@1 59.000 (55.867)	Prec@5 83.500 (84.367)
Epoch: [82][4430/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.7502 (1.6410)	Prec@1 56.000 (55.866)	Prec@5 80.500 (84.366)
Epoch: [82][4440/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6476 (1.6408)	Prec@1 53.000 (55.869)	Prec@5 85.500 (84.370)
Epoch: [82][4450/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.8627 (1.6410)	Prec@1 49.500 (55.865)	Prec@5 80.000 (84.368)
Epoch: [82][4460/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.7000 (1.6412)	Prec@1 56.500 (55.860)	Prec@5 83.500 (84.366)
Epoch: [82][4470/9018]	Time 0.754 (0.615)	Data 0.001 (0.001)	Loss 1.6503 (1.6412)	Prec@1 56.500 (55.862)	Prec@5 85.500 (84.366)
Epoch: [82][4480/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.6306 (1.6412)	Prec@1 58.000 (55.863)	Prec@5 84.000 (84.366)
Epoch: [82][4490/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6050 (1.6412)	Prec@1 61.500 (55.865)	Prec@5 84.500 (84.366)
Epoch: [82][4500/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7884 (1.6412)	Prec@1 52.000 (55.866)	Prec@5 83.000 (84.365)
Epoch: [82][4510/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 2.1112 (1.6411)	Prec@1 44.500 (55.865)	Prec@5 78.500 (84.367)
Epoch: [82][4520/9018]	Time 0.758 (0.615)	Data 0.001 (0.001)	Loss 1.5886 (1.6411)	Prec@1 55.000 (55.867)	Prec@5 86.000 (84.367)
Epoch: [82][4530/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.3851 (1.6410)	Prec@1 58.000 (55.868)	Prec@5 89.500 (84.367)
Epoch: [82][4540/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5877 (1.6411)	Prec@1 57.000 (55.865)	Prec@5 83.000 (84.364)
Epoch: [82][4550/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.5462 (1.6411)	Prec@1 58.500 (55.864)	Prec@5 86.500 (84.365)
Epoch: [82][4560/9018]	Time 0.624 (0.615)	Data 0.002 (0.001)	Loss 1.5605 (1.6412)	Prec@1 56.000 (55.863)	Prec@5 84.500 (84.363)
Epoch: [82][4570/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 1.6729 (1.6411)	Prec@1 54.500 (55.866)	Prec@5 85.500 (84.365)
Epoch: [82][4580/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.3817 (1.6410)	Prec@1 66.000 (55.870)	Prec@5 89.000 (84.366)
Epoch: [82][4590/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8158 (1.6409)	Prec@1 53.500 (55.874)	Prec@5 79.000 (84.367)
Epoch: [82][4600/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6196 (1.6409)	Prec@1 54.500 (55.875)	Prec@5 86.000 (84.367)
Epoch: [82][4610/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.5894 (1.6407)	Prec@1 61.000 (55.882)	Prec@5 85.500 (84.370)
Epoch: [82][4620/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.6280 (1.6408)	Prec@1 55.000 (55.881)	Prec@5 84.500 (84.368)
Epoch: [82][4630/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.6385 (1.6409)	Prec@1 55.500 (55.880)	Prec@5 87.500 (84.367)
Epoch: [82][4640/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.4705 (1.6408)	Prec@1 59.500 (55.880)	Prec@5 87.500 (84.368)
Epoch: [82][4650/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5316 (1.6408)	Prec@1 55.500 (55.882)	Prec@5 85.000 (84.368)
Epoch: [82][4660/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8154 (1.6408)	Prec@1 49.500 (55.879)	Prec@5 85.500 (84.370)
Epoch: [82][4670/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.7444 (1.6409)	Prec@1 53.000 (55.879)	Prec@5 85.500 (84.371)
Epoch: [82][4680/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.9381 (1.6410)	Prec@1 49.500 (55.874)	Prec@5 79.000 (84.370)
Epoch: [82][4690/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5300 (1.6409)	Prec@1 60.000 (55.875)	Prec@5 86.500 (84.372)
Epoch: [82][4700/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6598 (1.6410)	Prec@1 58.000 (55.875)	Prec@5 85.500 (84.372)
Epoch: [82][4710/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.5797 (1.6410)	Prec@1 56.000 (55.876)	Prec@5 85.500 (84.370)
Epoch: [82][4720/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6836 (1.6410)	Prec@1 52.500 (55.873)	Prec@5 84.000 (84.371)
Epoch: [82][4730/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.8195 (1.6413)	Prec@1 54.000 (55.867)	Prec@5 83.000 (84.367)
Epoch: [82][4740/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.7287 (1.6414)	Prec@1 54.000 (55.864)	Prec@5 82.500 (84.365)
Epoch: [82][4750/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.7275 (1.6415)	Prec@1 54.000 (55.863)	Prec@5 86.500 (84.364)
Epoch: [82][4760/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.5764 (1.6416)	Prec@1 57.000 (55.860)	Prec@5 86.000 (84.364)
Epoch: [82][4770/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.6205 (1.6416)	Prec@1 53.000 (55.858)	Prec@5 89.000 (84.364)
Epoch: [82][4780/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7907 (1.6417)	Prec@1 50.000 (55.858)	Prec@5 82.500 (84.365)
Epoch: [82][4790/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.3998 (1.6416)	Prec@1 62.000 (55.861)	Prec@5 89.500 (84.367)
Epoch: [82][4800/9018]	Time 0.720 (0.615)	Data 0.001 (0.001)	Loss 1.6733 (1.6416)	Prec@1 57.500 (55.860)	Prec@5 86.500 (84.368)
Epoch: [82][4810/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.5355 (1.6417)	Prec@1 62.000 (55.860)	Prec@5 86.000 (84.366)
Epoch: [82][4820/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5754 (1.6416)	Prec@1 61.000 (55.862)	Prec@5 85.500 (84.366)
Epoch: [82][4830/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.5729 (1.6416)	Prec@1 59.500 (55.865)	Prec@5 86.000 (84.367)
Epoch: [82][4840/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.6708 (1.6415)	Prec@1 56.000 (55.867)	Prec@5 83.000 (84.367)
Epoch: [82][4850/9018]	Time 0.675 (0.615)	Data 0.001 (0.001)	Loss 1.8441 (1.6417)	Prec@1 55.500 (55.864)	Prec@5 80.500 (84.364)
Epoch: [82][4860/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.7219 (1.6417)	Prec@1 54.500 (55.867)	Prec@5 82.500 (84.364)
Epoch: [82][4870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6873 (1.6417)	Prec@1 52.000 (55.869)	Prec@5 81.000 (84.363)
Epoch: [82][4880/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6686 (1.6416)	Prec@1 54.000 (55.872)	Prec@5 84.500 (84.364)
Epoch: [82][4890/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5925 (1.6416)	Prec@1 55.500 (55.872)	Prec@5 83.000 (84.365)
Epoch: [82][4900/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.6931 (1.6415)	Prec@1 56.000 (55.875)	Prec@5 83.500 (84.369)
Epoch: [82][4910/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.7635 (1.6415)	Prec@1 53.500 (55.873)	Prec@5 84.500 (84.369)
Epoch: [82][4920/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.6637 (1.6416)	Prec@1 56.500 (55.871)	Prec@5 84.500 (84.366)
Epoch: [82][4930/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.6193 (1.6416)	Prec@1 55.500 (55.868)	Prec@5 88.500 (84.368)
Epoch: [82][4940/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.7148 (1.6416)	Prec@1 54.500 (55.871)	Prec@5 82.500 (84.369)
Epoch: [82][4950/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 1.5796 (1.6416)	Prec@1 60.500 (55.872)	Prec@5 84.500 (84.368)
Epoch: [82][4960/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.7356 (1.6416)	Prec@1 54.000 (55.874)	Prec@5 84.500 (84.369)
Epoch: [82][4970/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8195 (1.6416)	Prec@1 53.500 (55.872)	Prec@5 80.500 (84.369)
Epoch: [82][4980/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.6689 (1.6416)	Prec@1 56.000 (55.871)	Prec@5 82.000 (84.370)
Epoch: [82][4990/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.4002 (1.6416)	Prec@1 64.000 (55.871)	Prec@5 90.500 (84.371)
Epoch: [82][5000/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8287 (1.6418)	Prec@1 50.500 (55.867)	Prec@5 80.500 (84.369)
Epoch: [82][5010/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5754 (1.6417)	Prec@1 59.000 (55.868)	Prec@5 83.500 (84.369)
Epoch: [82][5020/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.7198 (1.6417)	Prec@1 57.000 (55.868)	Prec@5 83.000 (84.369)
Epoch: [82][5030/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.6155 (1.6417)	Prec@1 54.500 (55.868)	Prec@5 88.000 (84.370)
Epoch: [82][5040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5831 (1.6417)	Prec@1 57.500 (55.866)	Prec@5 85.500 (84.370)
Epoch: [82][5050/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7047 (1.6418)	Prec@1 53.000 (55.864)	Prec@5 84.000 (84.369)
Epoch: [82][5060/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.5992 (1.6417)	Prec@1 56.000 (55.867)	Prec@5 87.000 (84.372)
Epoch: [82][5070/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.4279 (1.6415)	Prec@1 58.000 (55.870)	Prec@5 90.000 (84.375)
Epoch: [82][5080/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 1.7200 (1.6416)	Prec@1 52.000 (55.871)	Prec@5 81.500 (84.372)
Epoch: [82][5090/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.6124 (1.6416)	Prec@1 60.000 (55.873)	Prec@5 85.000 (84.372)
Epoch: [82][5100/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.7024 (1.6417)	Prec@1 53.000 (55.874)	Prec@5 85.000 (84.369)
Epoch: [82][5110/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8764 (1.6417)	Prec@1 50.500 (55.874)	Prec@5 81.000 (84.369)
Epoch: [82][5120/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.7377 (1.6417)	Prec@1 54.000 (55.874)	Prec@5 83.500 (84.370)
Epoch: [82][5130/9018]	Time 0.747 (0.615)	Data 0.001 (0.001)	Loss 1.5789 (1.6417)	Prec@1 56.500 (55.871)	Prec@5 83.500 (84.368)
Epoch: [82][5140/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.5897 (1.6418)	Prec@1 57.500 (55.869)	Prec@5 84.500 (84.366)
Epoch: [82][5150/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.4519 (1.6419)	Prec@1 55.000 (55.866)	Prec@5 89.000 (84.367)
Epoch: [82][5160/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.6100 (1.6420)	Prec@1 54.500 (55.861)	Prec@5 89.000 (84.365)
Epoch: [82][5170/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.5831 (1.6419)	Prec@1 57.000 (55.866)	Prec@5 87.500 (84.368)
Epoch: [82][5180/9018]	Time 0.703 (0.615)	Data 0.001 (0.001)	Loss 1.8361 (1.6420)	Prec@1 49.500 (55.859)	Prec@5 80.000 (84.367)
Epoch: [82][5190/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6545 (1.6420)	Prec@1 56.000 (55.861)	Prec@5 85.500 (84.367)
Epoch: [82][5200/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7576 (1.6420)	Prec@1 54.000 (55.862)	Prec@5 81.000 (84.367)
Epoch: [82][5210/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.4342 (1.6418)	Prec@1 60.000 (55.864)	Prec@5 89.500 (84.370)
Epoch: [82][5220/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7051 (1.6418)	Prec@1 53.500 (55.864)	Prec@5 84.000 (84.371)
Epoch: [82][5230/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7594 (1.6418)	Prec@1 51.500 (55.866)	Prec@5 82.500 (84.370)
Epoch: [82][5240/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8703 (1.6419)	Prec@1 53.500 (55.866)	Prec@5 78.000 (84.367)
Epoch: [82][5250/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6319 (1.6419)	Prec@1 51.000 (55.863)	Prec@5 83.000 (84.365)
Epoch: [82][5260/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.7296 (1.6419)	Prec@1 54.500 (55.862)	Prec@5 84.000 (84.365)
Epoch: [82][5270/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.6642 (1.6419)	Prec@1 54.500 (55.861)	Prec@5 87.000 (84.365)
Epoch: [82][5280/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.4623 (1.6418)	Prec@1 59.000 (55.864)	Prec@5 88.000 (84.367)
Epoch: [82][5290/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6841 (1.6418)	Prec@1 52.000 (55.861)	Prec@5 84.000 (84.367)
Epoch: [82][5300/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.7916 (1.6419)	Prec@1 53.500 (55.860)	Prec@5 80.500 (84.365)
Epoch: [82][5310/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.6808 (1.6420)	Prec@1 54.000 (55.856)	Prec@5 84.000 (84.365)
Epoch: [82][5320/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8080 (1.6420)	Prec@1 53.500 (55.854)	Prec@5 80.000 (84.363)
Epoch: [82][5330/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.5746 (1.6420)	Prec@1 58.500 (55.854)	Prec@5 84.500 (84.363)
Epoch: [82][5340/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.4782 (1.6419)	Prec@1 54.000 (55.857)	Prec@5 87.000 (84.365)
Epoch: [82][5350/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5826 (1.6419)	Prec@1 55.000 (55.855)	Prec@5 86.000 (84.364)
Epoch: [82][5360/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6833 (1.6419)	Prec@1 55.500 (55.857)	Prec@5 86.000 (84.364)
Epoch: [82][5370/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5985 (1.6419)	Prec@1 55.500 (55.858)	Prec@5 85.500 (84.365)
Epoch: [82][5380/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7765 (1.6420)	Prec@1 52.000 (55.856)	Prec@5 80.000 (84.363)
Epoch: [82][5390/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 1.6764 (1.6420)	Prec@1 54.500 (55.855)	Prec@5 83.000 (84.363)
Epoch: [82][5400/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6976 (1.6421)	Prec@1 56.000 (55.854)	Prec@5 82.000 (84.363)
Epoch: [82][5410/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.7136 (1.6421)	Prec@1 55.000 (55.853)	Prec@5 83.000 (84.365)
Epoch: [82][5420/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.6732 (1.6421)	Prec@1 54.500 (55.853)	Prec@5 86.000 (84.367)
Epoch: [82][5430/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.7890 (1.6421)	Prec@1 50.000 (55.852)	Prec@5 81.000 (84.368)
Epoch: [82][5440/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6810 (1.6420)	Prec@1 52.000 (55.853)	Prec@5 83.500 (84.369)
Epoch: [82][5450/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.7773 (1.6420)	Prec@1 52.500 (55.855)	Prec@5 80.500 (84.369)
Epoch: [82][5460/9018]	Time 0.747 (0.615)	Data 0.001 (0.001)	Loss 1.5209 (1.6421)	Prec@1 61.000 (55.855)	Prec@5 85.000 (84.368)
Epoch: [82][5470/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.6391 (1.6421)	Prec@1 56.500 (55.853)	Prec@5 84.000 (84.367)
Epoch: [82][5480/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.6064 (1.6422)	Prec@1 57.000 (55.852)	Prec@5 85.500 (84.366)
Epoch: [82][5490/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.4179 (1.6422)	Prec@1 61.500 (55.853)	Prec@5 88.000 (84.366)
Epoch: [82][5500/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7538 (1.6421)	Prec@1 51.000 (55.855)	Prec@5 83.000 (84.368)
Epoch: [82][5510/9018]	Time 0.711 (0.615)	Data 0.001 (0.001)	Loss 1.5071 (1.6422)	Prec@1 57.500 (55.850)	Prec@5 86.500 (84.369)
Epoch: [82][5520/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6957 (1.6422)	Prec@1 55.000 (55.849)	Prec@5 80.000 (84.366)
Epoch: [82][5530/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5058 (1.6422)	Prec@1 60.000 (55.849)	Prec@5 85.000 (84.368)
Epoch: [82][5540/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6620 (1.6421)	Prec@1 55.000 (55.853)	Prec@5 84.500 (84.367)
Epoch: [82][5550/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.8008 (1.6421)	Prec@1 50.000 (55.853)	Prec@5 85.000 (84.369)
Epoch: [82][5560/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.5571 (1.6421)	Prec@1 58.500 (55.853)	Prec@5 87.000 (84.368)
Epoch: [82][5570/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.6420 (1.6422)	Prec@1 58.000 (55.851)	Prec@5 86.500 (84.368)
Epoch: [82][5580/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5335 (1.6422)	Prec@1 58.000 (55.849)	Prec@5 88.000 (84.367)
Epoch: [82][5590/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5100 (1.6423)	Prec@1 63.000 (55.851)	Prec@5 85.500 (84.366)
Epoch: [82][5600/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6289 (1.6423)	Prec@1 57.500 (55.850)	Prec@5 85.500 (84.366)
Epoch: [82][5610/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.4344 (1.6423)	Prec@1 62.000 (55.849)	Prec@5 87.000 (84.367)
Epoch: [82][5620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7658 (1.6423)	Prec@1 52.500 (55.850)	Prec@5 82.000 (84.366)
Epoch: [82][5630/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6600 (1.6423)	Prec@1 57.500 (55.850)	Prec@5 80.500 (84.364)
Epoch: [82][5640/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.5799 (1.6423)	Prec@1 57.000 (55.850)	Prec@5 86.000 (84.363)
Epoch: [82][5650/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.7429 (1.6423)	Prec@1 51.500 (55.849)	Prec@5 83.500 (84.362)
Epoch: [82][5660/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.5201 (1.6422)	Prec@1 58.000 (55.850)	Prec@5 87.000 (84.365)
Epoch: [82][5670/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.7507 (1.6423)	Prec@1 53.000 (55.849)	Prec@5 81.500 (84.365)
Epoch: [82][5680/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6195 (1.6422)	Prec@1 55.000 (55.851)	Prec@5 82.500 (84.366)
Epoch: [82][5690/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.8623 (1.6422)	Prec@1 51.500 (55.847)	Prec@5 81.500 (84.366)
Epoch: [82][5700/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7801 (1.6423)	Prec@1 53.500 (55.848)	Prec@5 82.500 (84.366)
Epoch: [82][5710/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7540 (1.6424)	Prec@1 55.000 (55.845)	Prec@5 83.000 (84.364)
Epoch: [82][5720/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7568 (1.6425)	Prec@1 56.500 (55.844)	Prec@5 81.000 (84.361)
Epoch: [82][5730/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5084 (1.6425)	Prec@1 59.500 (55.843)	Prec@5 86.500 (84.360)
Epoch: [82][5740/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8169 (1.6425)	Prec@1 47.500 (55.841)	Prec@5 82.000 (84.359)
Epoch: [82][5750/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8426 (1.6427)	Prec@1 48.500 (55.833)	Prec@5 80.000 (84.356)
Epoch: [82][5760/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7997 (1.6428)	Prec@1 48.500 (55.832)	Prec@5 80.000 (84.356)
Epoch: [82][5770/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.5465 (1.6429)	Prec@1 60.500 (55.830)	Prec@5 85.000 (84.354)
Epoch: [82][5780/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6576 (1.6427)	Prec@1 60.000 (55.833)	Prec@5 85.500 (84.357)
Epoch: [82][5790/9018]	Time 0.718 (0.615)	Data 0.001 (0.001)	Loss 1.7314 (1.6427)	Prec@1 54.000 (55.832)	Prec@5 81.500 (84.357)
Epoch: [82][5800/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.6427 (1.6428)	Prec@1 57.000 (55.831)	Prec@5 85.500 (84.356)
Epoch: [82][5810/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.6031 (1.6428)	Prec@1 58.000 (55.832)	Prec@5 87.000 (84.356)
Epoch: [82][5820/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7454 (1.6428)	Prec@1 51.500 (55.831)	Prec@5 81.000 (84.356)
Epoch: [82][5830/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.7321 (1.6429)	Prec@1 58.000 (55.828)	Prec@5 83.500 (84.356)
Epoch: [82][5840/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 1.6562 (1.6429)	Prec@1 57.000 (55.828)	Prec@5 85.000 (84.355)
Epoch: [82][5850/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.6870 (1.6430)	Prec@1 54.000 (55.826)	Prec@5 83.500 (84.354)
Epoch: [82][5860/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.5791 (1.6430)	Prec@1 58.000 (55.826)	Prec@5 85.500 (84.354)
Epoch: [82][5870/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.5117 (1.6430)	Prec@1 63.000 (55.827)	Prec@5 85.500 (84.355)
Epoch: [82][5880/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.7294 (1.6430)	Prec@1 58.000 (55.828)	Prec@5 82.000 (84.357)
Epoch: [82][5890/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7839 (1.6431)	Prec@1 51.500 (55.825)	Prec@5 82.000 (84.354)
Epoch: [82][5900/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6945 (1.6432)	Prec@1 60.500 (55.826)	Prec@5 81.000 (84.353)
Epoch: [82][5910/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7435 (1.6433)	Prec@1 54.500 (55.825)	Prec@5 80.500 (84.351)
Epoch: [82][5920/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6359 (1.6433)	Prec@1 57.000 (55.823)	Prec@5 83.000 (84.352)
Epoch: [82][5930/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.4622 (1.6432)	Prec@1 59.000 (55.824)	Prec@5 85.000 (84.352)
Epoch: [82][5940/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7096 (1.6432)	Prec@1 53.500 (55.827)	Prec@5 84.000 (84.349)
Epoch: [82][5950/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.8025 (1.6433)	Prec@1 51.000 (55.825)	Prec@5 80.500 (84.348)
Epoch: [82][5960/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5991 (1.6433)	Prec@1 53.000 (55.824)	Prec@5 83.000 (84.349)
Epoch: [82][5970/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.5028 (1.6433)	Prec@1 59.500 (55.823)	Prec@5 87.500 (84.349)
Epoch: [82][5980/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6884 (1.6432)	Prec@1 55.000 (55.825)	Prec@5 84.000 (84.349)
Epoch: [82][5990/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.4277 (1.6433)	Prec@1 62.500 (55.823)	Prec@5 85.500 (84.347)
Epoch: [82][6000/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7883 (1.6434)	Prec@1 51.500 (55.821)	Prec@5 83.500 (84.347)
Epoch: [82][6010/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.7739 (1.6435)	Prec@1 54.500 (55.817)	Prec@5 79.500 (84.345)
Epoch: [82][6020/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8971 (1.6436)	Prec@1 49.500 (55.816)	Prec@5 81.000 (84.344)
Epoch: [82][6030/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.7131 (1.6436)	Prec@1 54.000 (55.814)	Prec@5 86.000 (84.344)
Epoch: [82][6040/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.5645 (1.6436)	Prec@1 55.000 (55.815)	Prec@5 89.500 (84.345)
Epoch: [82][6050/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.7455 (1.6437)	Prec@1 52.500 (55.814)	Prec@5 82.500 (84.342)
Epoch: [82][6060/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6862 (1.6437)	Prec@1 54.000 (55.814)	Prec@5 84.500 (84.342)
Epoch: [82][6070/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 1.5956 (1.6437)	Prec@1 56.000 (55.813)	Prec@5 83.500 (84.340)
Epoch: [82][6080/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6025 (1.6437)	Prec@1 54.000 (55.813)	Prec@5 88.000 (84.340)
Epoch: [82][6090/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.5556 (1.6437)	Prec@1 57.500 (55.815)	Prec@5 84.000 (84.339)
Epoch: [82][6100/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5858 (1.6437)	Prec@1 60.500 (55.818)	Prec@5 86.000 (84.340)
Epoch: [82][6110/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.6575 (1.6437)	Prec@1 57.000 (55.817)	Prec@5 83.000 (84.339)
Epoch: [82][6120/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 1.6001 (1.6436)	Prec@1 55.000 (55.818)	Prec@5 84.500 (84.340)
Epoch: [82][6130/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.5342 (1.6436)	Prec@1 57.000 (55.816)	Prec@5 88.500 (84.341)
Epoch: [82][6140/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6973 (1.6436)	Prec@1 56.000 (55.818)	Prec@5 83.000 (84.342)
Epoch: [82][6150/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6052 (1.6436)	Prec@1 56.500 (55.821)	Prec@5 85.500 (84.343)
Epoch: [82][6160/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6890 (1.6436)	Prec@1 51.000 (55.819)	Prec@5 85.000 (84.342)
Epoch: [82][6170/9018]	Time 0.722 (0.615)	Data 0.001 (0.001)	Loss 1.6777 (1.6437)	Prec@1 58.000 (55.816)	Prec@5 85.000 (84.343)
Epoch: [82][6180/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.4269 (1.6436)	Prec@1 63.500 (55.819)	Prec@5 88.000 (84.345)
Epoch: [82][6190/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6780 (1.6435)	Prec@1 54.500 (55.822)	Prec@5 82.500 (84.345)
Epoch: [82][6200/9018]	Time 0.642 (0.615)	Data 0.001 (0.001)	Loss 1.5416 (1.6436)	Prec@1 58.500 (55.822)	Prec@5 82.000 (84.343)
Epoch: [82][6210/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.8546 (1.6436)	Prec@1 50.500 (55.823)	Prec@5 82.000 (84.344)
Epoch: [82][6220/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5179 (1.6436)	Prec@1 59.000 (55.822)	Prec@5 87.000 (84.343)
Epoch: [82][6230/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5428 (1.6436)	Prec@1 59.000 (55.823)	Prec@5 84.500 (84.342)
Epoch: [82][6240/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.7146 (1.6436)	Prec@1 53.500 (55.824)	Prec@5 84.500 (84.344)
Epoch: [82][6250/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.6741 (1.6436)	Prec@1 56.000 (55.824)	Prec@5 84.500 (84.343)
Epoch: [82][6260/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.6729 (1.6437)	Prec@1 54.500 (55.823)	Prec@5 86.000 (84.343)
Epoch: [82][6270/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6783 (1.6437)	Prec@1 55.500 (55.823)	Prec@5 82.500 (84.345)
Epoch: [82][6280/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.9588 (1.6439)	Prec@1 51.000 (55.819)	Prec@5 84.000 (84.343)
Epoch: [82][6290/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.7821 (1.6440)	Prec@1 56.000 (55.818)	Prec@5 85.500 (84.343)
Epoch: [82][6300/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.6702 (1.6440)	Prec@1 55.000 (55.818)	Prec@5 80.500 (84.344)
Epoch: [82][6310/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6610 (1.6440)	Prec@1 57.000 (55.819)	Prec@5 81.500 (84.342)
Epoch: [82][6320/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.7230 (1.6440)	Prec@1 52.000 (55.819)	Prec@5 85.000 (84.340)
Epoch: [82][6330/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.7449 (1.6440)	Prec@1 53.500 (55.822)	Prec@5 81.500 (84.340)
Epoch: [82][6340/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5128 (1.6440)	Prec@1 62.000 (55.821)	Prec@5 86.000 (84.340)
Epoch: [82][6350/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5175 (1.6439)	Prec@1 58.000 (55.822)	Prec@5 84.500 (84.343)
Epoch: [82][6360/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6087 (1.6440)	Prec@1 52.000 (55.822)	Prec@5 88.000 (84.344)
Epoch: [82][6370/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 2.0097 (1.6439)	Prec@1 47.000 (55.823)	Prec@5 78.500 (84.345)
Epoch: [82][6380/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6418 (1.6439)	Prec@1 56.000 (55.822)	Prec@5 84.500 (84.345)
Epoch: [82][6390/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8456 (1.6438)	Prec@1 56.500 (55.822)	Prec@5 80.500 (84.345)
Epoch: [82][6400/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8563 (1.6439)	Prec@1 54.500 (55.822)	Prec@5 79.500 (84.345)
Epoch: [82][6410/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5928 (1.6439)	Prec@1 56.500 (55.821)	Prec@5 86.000 (84.343)
Epoch: [82][6420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.4656 (1.6438)	Prec@1 64.500 (55.823)	Prec@5 87.000 (84.344)
Epoch: [82][6430/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.5626 (1.6437)	Prec@1 55.000 (55.824)	Prec@5 86.000 (84.346)
Epoch: [82][6440/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.4443 (1.6437)	Prec@1 60.000 (55.826)	Prec@5 88.000 (84.346)
Epoch: [82][6450/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 1.9321 (1.6438)	Prec@1 49.500 (55.822)	Prec@5 80.000 (84.344)
Epoch: [82][6460/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.6247 (1.6438)	Prec@1 57.500 (55.824)	Prec@5 83.500 (84.343)
Epoch: [82][6470/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7683 (1.6438)	Prec@1 54.500 (55.823)	Prec@5 83.000 (84.344)
Epoch: [82][6480/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.5427 (1.6439)	Prec@1 58.000 (55.820)	Prec@5 87.000 (84.344)
Epoch: [82][6490/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.7973 (1.6440)	Prec@1 51.000 (55.817)	Prec@5 84.500 (84.343)
Epoch: [82][6500/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 1.7608 (1.6439)	Prec@1 54.500 (55.816)	Prec@5 82.500 (84.343)
Epoch: [82][6510/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7705 (1.6440)	Prec@1 51.500 (55.815)	Prec@5 83.000 (84.343)
Epoch: [82][6520/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6284 (1.6440)	Prec@1 55.500 (55.813)	Prec@5 86.500 (84.342)
Epoch: [82][6530/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.4466 (1.6439)	Prec@1 58.000 (55.816)	Prec@5 89.000 (84.345)
Epoch: [82][6540/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6006 (1.6439)	Prec@1 57.500 (55.816)	Prec@5 86.500 (84.344)
Epoch: [82][6550/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.4749 (1.6439)	Prec@1 60.500 (55.817)	Prec@5 85.000 (84.344)
Epoch: [82][6560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.4770 (1.6440)	Prec@1 65.500 (55.815)	Prec@5 84.500 (84.343)
Epoch: [82][6570/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.6994 (1.6441)	Prec@1 60.500 (55.813)	Prec@5 82.500 (84.341)
Epoch: [82][6580/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.4677 (1.6440)	Prec@1 61.500 (55.812)	Prec@5 86.500 (84.342)
Epoch: [82][6590/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.5852 (1.6440)	Prec@1 56.500 (55.811)	Prec@5 85.000 (84.342)
Epoch: [82][6600/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8125 (1.6440)	Prec@1 56.500 (55.812)	Prec@5 79.000 (84.341)
Epoch: [82][6610/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7955 (1.6440)	Prec@1 48.500 (55.811)	Prec@5 82.500 (84.342)
Epoch: [82][6620/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6450 (1.6440)	Prec@1 53.500 (55.813)	Prec@5 87.500 (84.342)
Epoch: [82][6630/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.7961 (1.6440)	Prec@1 50.500 (55.813)	Prec@5 86.000 (84.341)
Epoch: [82][6640/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.6578 (1.6440)	Prec@1 57.500 (55.814)	Prec@5 81.000 (84.342)
Epoch: [82][6650/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7428 (1.6441)	Prec@1 53.000 (55.812)	Prec@5 85.000 (84.341)
Epoch: [82][6660/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6898 (1.6441)	Prec@1 56.000 (55.812)	Prec@5 82.000 (84.340)
Epoch: [82][6670/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.6837 (1.6441)	Prec@1 55.000 (55.812)	Prec@5 81.500 (84.341)
Epoch: [82][6680/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.5653 (1.6440)	Prec@1 53.000 (55.815)	Prec@5 86.000 (84.343)
Epoch: [82][6690/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8030 (1.6439)	Prec@1 54.500 (55.817)	Prec@5 81.500 (84.343)
Epoch: [82][6700/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6861 (1.6439)	Prec@1 57.500 (55.818)	Prec@5 82.000 (84.343)
Epoch: [82][6710/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.4020 (1.6439)	Prec@1 62.000 (55.818)	Prec@5 91.000 (84.344)
Epoch: [82][6720/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.6152 (1.6439)	Prec@1 58.000 (55.816)	Prec@5 84.000 (84.343)
Epoch: [82][6730/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.6170 (1.6438)	Prec@1 57.000 (55.818)	Prec@5 84.000 (84.345)
Epoch: [82][6740/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5487 (1.6439)	Prec@1 61.500 (55.818)	Prec@5 84.000 (84.345)
Epoch: [82][6750/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5688 (1.6439)	Prec@1 59.500 (55.819)	Prec@5 87.500 (84.345)
Epoch: [82][6760/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.5234 (1.6438)	Prec@1 59.000 (55.820)	Prec@5 84.000 (84.345)
Epoch: [82][6770/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.5368 (1.6438)	Prec@1 57.500 (55.819)	Prec@5 83.500 (84.344)
Epoch: [82][6780/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 1.8889 (1.6438)	Prec@1 47.500 (55.820)	Prec@5 78.500 (84.343)
Epoch: [82][6790/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.7445 (1.6438)	Prec@1 48.500 (55.820)	Prec@5 84.500 (84.343)
Epoch: [82][6800/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.3681 (1.6438)	Prec@1 60.000 (55.821)	Prec@5 87.000 (84.345)
Epoch: [82][6810/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.5200 (1.6437)	Prec@1 57.000 (55.822)	Prec@5 86.500 (84.345)
Epoch: [82][6820/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6256 (1.6438)	Prec@1 63.000 (55.823)	Prec@5 83.000 (84.344)
Epoch: [82][6830/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 1.7288 (1.6438)	Prec@1 58.500 (55.819)	Prec@5 82.500 (84.342)
Epoch: [82][6840/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6822 (1.6439)	Prec@1 53.000 (55.817)	Prec@5 84.500 (84.342)
Epoch: [82][6850/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.5424 (1.6438)	Prec@1 55.000 (55.816)	Prec@5 88.500 (84.345)
Epoch: [82][6860/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.7426 (1.6438)	Prec@1 51.500 (55.816)	Prec@5 83.000 (84.346)
Epoch: [82][6870/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.5852 (1.6438)	Prec@1 56.500 (55.816)	Prec@5 86.000 (84.346)
Epoch: [82][6880/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.6583 (1.6438)	Prec@1 61.000 (55.818)	Prec@5 84.500 (84.346)
Epoch: [82][6890/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.6925 (1.6438)	Prec@1 53.000 (55.819)	Prec@5 84.000 (84.347)
Epoch: [82][6900/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.4554 (1.6437)	Prec@1 60.500 (55.821)	Prec@5 87.000 (84.349)
Epoch: [82][6910/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.4681 (1.6436)	Prec@1 59.000 (55.822)	Prec@5 89.000 (84.350)
Epoch: [82][6920/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.5547 (1.6437)	Prec@1 57.500 (55.822)	Prec@5 87.000 (84.349)
Epoch: [82][6930/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6258 (1.6438)	Prec@1 56.500 (55.819)	Prec@5 88.000 (84.347)
Epoch: [82][6940/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8043 (1.6438)	Prec@1 53.500 (55.817)	Prec@5 83.000 (84.348)
Epoch: [82][6950/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.4741 (1.6438)	Prec@1 58.500 (55.816)	Prec@5 90.000 (84.349)
Epoch: [82][6960/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.7060 (1.6437)	Prec@1 55.000 (55.817)	Prec@5 82.500 (84.350)
Epoch: [82][6970/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6737 (1.6438)	Prec@1 53.500 (55.812)	Prec@5 82.500 (84.348)
Epoch: [82][6980/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6676 (1.6439)	Prec@1 55.500 (55.811)	Prec@5 85.500 (84.347)
Epoch: [82][6990/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6590 (1.6439)	Prec@1 56.500 (55.811)	Prec@5 83.500 (84.345)
Epoch: [82][7000/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.4503 (1.6439)	Prec@1 58.000 (55.809)	Prec@5 87.000 (84.346)
Epoch: [82][7010/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6438 (1.6439)	Prec@1 57.500 (55.811)	Prec@5 86.000 (84.347)
Epoch: [82][7020/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8668 (1.6440)	Prec@1 48.000 (55.807)	Prec@5 78.500 (84.345)
Epoch: [82][7030/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8258 (1.6440)	Prec@1 55.000 (55.808)	Prec@5 81.500 (84.344)
Epoch: [82][7040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6217 (1.6440)	Prec@1 55.000 (55.807)	Prec@5 85.500 (84.345)
Epoch: [82][7050/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.7509 (1.6440)	Prec@1 56.000 (55.805)	Prec@5 82.000 (84.345)
Epoch: [82][7060/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.6154 (1.6440)	Prec@1 58.000 (55.805)	Prec@5 82.500 (84.345)
Epoch: [82][7070/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.9725 (1.6441)	Prec@1 47.500 (55.802)	Prec@5 79.000 (84.343)
Epoch: [82][7080/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.5446 (1.6441)	Prec@1 57.000 (55.802)	Prec@5 86.000 (84.343)
Epoch: [82][7090/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6832 (1.6442)	Prec@1 55.000 (55.800)	Prec@5 83.500 (84.342)
Epoch: [82][7100/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.5344 (1.6442)	Prec@1 59.000 (55.800)	Prec@5 84.000 (84.342)
Epoch: [82][7110/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 1.4539 (1.6441)	Prec@1 59.500 (55.799)	Prec@5 90.500 (84.343)
Epoch: [82][7120/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6630 (1.6441)	Prec@1 54.500 (55.798)	Prec@5 84.000 (84.344)
Epoch: [82][7130/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.7763 (1.6441)	Prec@1 54.000 (55.800)	Prec@5 83.000 (84.344)
Epoch: [82][7140/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.7499 (1.6441)	Prec@1 50.000 (55.798)	Prec@5 82.000 (84.345)
Epoch: [82][7150/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5354 (1.6441)	Prec@1 58.500 (55.797)	Prec@5 86.000 (84.347)
Epoch: [82][7160/9018]	Time 0.711 (0.615)	Data 0.001 (0.001)	Loss 1.4804 (1.6441)	Prec@1 58.500 (55.797)	Prec@5 88.000 (84.347)
Epoch: [82][7170/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.5840 (1.6440)	Prec@1 58.500 (55.799)	Prec@5 84.500 (84.347)
Epoch: [82][7180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6135 (1.6441)	Prec@1 57.000 (55.796)	Prec@5 86.500 (84.347)
Epoch: [82][7190/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.4672 (1.6441)	Prec@1 62.500 (55.801)	Prec@5 88.000 (84.346)
Epoch: [82][7200/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.6011 (1.6441)	Prec@1 61.000 (55.802)	Prec@5 84.000 (84.346)
Epoch: [82][7210/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.5426 (1.6441)	Prec@1 60.500 (55.804)	Prec@5 83.000 (84.345)
Epoch: [82][7220/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.7053 (1.6441)	Prec@1 58.000 (55.803)	Prec@5 83.500 (84.344)
Epoch: [82][7230/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.7157 (1.6442)	Prec@1 50.500 (55.802)	Prec@5 84.500 (84.344)
Epoch: [82][7240/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.7251 (1.6443)	Prec@1 53.000 (55.799)	Prec@5 84.500 (84.343)
Epoch: [82][7250/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.4947 (1.6443)	Prec@1 60.000 (55.797)	Prec@5 89.000 (84.344)
Epoch: [82][7260/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5627 (1.6443)	Prec@1 55.500 (55.797)	Prec@5 85.500 (84.344)
Epoch: [82][7270/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.7143 (1.6444)	Prec@1 53.000 (55.796)	Prec@5 84.500 (84.343)
Epoch: [82][7280/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.8031 (1.6444)	Prec@1 49.000 (55.795)	Prec@5 84.000 (84.343)
Epoch: [82][7290/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.5182 (1.6444)	Prec@1 55.000 (55.794)	Prec@5 88.500 (84.343)
Epoch: [82][7300/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.7106 (1.6446)	Prec@1 56.000 (55.790)	Prec@5 81.500 (84.341)
Epoch: [82][7310/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.4375 (1.6446)	Prec@1 54.500 (55.788)	Prec@5 90.000 (84.341)
Epoch: [82][7320/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.8152 (1.6446)	Prec@1 51.500 (55.789)	Prec@5 82.500 (84.343)
Epoch: [82][7330/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6943 (1.6446)	Prec@1 51.000 (55.789)	Prec@5 85.000 (84.343)
Epoch: [82][7340/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.7419 (1.6446)	Prec@1 54.500 (55.789)	Prec@5 83.000 (84.344)
Epoch: [82][7350/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6839 (1.6446)	Prec@1 51.500 (55.789)	Prec@5 85.500 (84.343)
Epoch: [82][7360/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6205 (1.6446)	Prec@1 51.500 (55.788)	Prec@5 87.500 (84.342)
Epoch: [82][7370/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.5913 (1.6446)	Prec@1 59.000 (55.789)	Prec@5 85.500 (84.343)
Epoch: [82][7380/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6052 (1.6446)	Prec@1 55.000 (55.790)	Prec@5 85.000 (84.343)
Epoch: [82][7390/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5480 (1.6445)	Prec@1 55.500 (55.790)	Prec@5 87.500 (84.343)
Epoch: [82][7400/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5901 (1.6446)	Prec@1 55.000 (55.788)	Prec@5 88.000 (84.344)
Epoch: [82][7410/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.6650 (1.6447)	Prec@1 56.000 (55.786)	Prec@5 84.500 (84.342)
Epoch: [82][7420/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6734 (1.6447)	Prec@1 54.500 (55.785)	Prec@5 84.000 (84.341)
Epoch: [82][7430/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.5195 (1.6448)	Prec@1 57.000 (55.784)	Prec@5 85.500 (84.340)
Epoch: [82][7440/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 1.7480 (1.6448)	Prec@1 52.500 (55.783)	Prec@5 83.000 (84.341)
Epoch: [82][7450/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7839 (1.6449)	Prec@1 54.500 (55.782)	Prec@5 82.500 (84.341)
Epoch: [82][7460/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.5244 (1.6448)	Prec@1 57.500 (55.782)	Prec@5 88.500 (84.342)
Epoch: [82][7470/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.4459 (1.6448)	Prec@1 62.500 (55.783)	Prec@5 87.500 (84.343)
Epoch: [82][7480/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8211 (1.6448)	Prec@1 52.500 (55.784)	Prec@5 82.000 (84.342)
Epoch: [82][7490/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 1.5787 (1.6447)	Prec@1 58.000 (55.787)	Prec@5 85.000 (84.344)
Epoch: [82][7500/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.6434 (1.6447)	Prec@1 57.000 (55.787)	Prec@5 82.000 (84.343)
Epoch: [82][7510/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.7203 (1.6448)	Prec@1 52.500 (55.784)	Prec@5 83.000 (84.342)
Epoch: [82][7520/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.4271 (1.6448)	Prec@1 65.000 (55.785)	Prec@5 88.000 (84.342)
Epoch: [82][7530/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7436 (1.6448)	Prec@1 54.500 (55.785)	Prec@5 82.000 (84.343)
Epoch: [82][7540/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.4835 (1.6448)	Prec@1 56.500 (55.786)	Prec@5 87.500 (84.341)
Epoch: [82][7550/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.7418 (1.6448)	Prec@1 52.000 (55.784)	Prec@5 83.000 (84.341)
Epoch: [82][7560/9018]	Time 0.616 (0.615)	Data 0.002 (0.001)	Loss 1.6649 (1.6448)	Prec@1 60.000 (55.785)	Prec@5 80.500 (84.340)
Epoch: [82][7570/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.7147 (1.6449)	Prec@1 51.000 (55.784)	Prec@5 82.000 (84.339)
Epoch: [82][7580/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.7106 (1.6449)	Prec@1 53.000 (55.782)	Prec@5 83.000 (84.338)
Epoch: [82][7590/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5075 (1.6449)	Prec@1 62.000 (55.781)	Prec@5 86.500 (84.337)
Epoch: [82][7600/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.8494 (1.6450)	Prec@1 50.500 (55.780)	Prec@5 85.000 (84.336)
Epoch: [82][7610/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7810 (1.6450)	Prec@1 53.000 (55.781)	Prec@5 82.500 (84.336)
Epoch: [82][7620/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.7164 (1.6451)	Prec@1 60.000 (55.779)	Prec@5 83.000 (84.333)
Epoch: [82][7630/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7425 (1.6452)	Prec@1 54.000 (55.775)	Prec@5 82.500 (84.332)
Epoch: [82][7640/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6979 (1.6452)	Prec@1 57.500 (55.776)	Prec@5 82.000 (84.333)
Epoch: [82][7650/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.4932 (1.6452)	Prec@1 59.500 (55.775)	Prec@5 87.000 (84.333)
Epoch: [82][7660/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.6460 (1.6453)	Prec@1 53.500 (55.773)	Prec@5 85.000 (84.330)
Epoch: [82][7670/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.7404 (1.6453)	Prec@1 51.000 (55.773)	Prec@5 80.500 (84.330)
Epoch: [82][7680/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6152 (1.6453)	Prec@1 56.000 (55.775)	Prec@5 86.000 (84.331)
Epoch: [82][7690/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6055 (1.6453)	Prec@1 54.000 (55.774)	Prec@5 85.000 (84.329)
Epoch: [82][7700/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.4581 (1.6454)	Prec@1 59.500 (55.773)	Prec@5 87.500 (84.328)
Epoch: [82][7710/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6606 (1.6453)	Prec@1 56.000 (55.773)	Prec@5 82.500 (84.328)
Epoch: [82][7720/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7903 (1.6453)	Prec@1 50.500 (55.774)	Prec@5 83.500 (84.329)
Epoch: [82][7730/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 1.6821 (1.6454)	Prec@1 57.000 (55.773)	Prec@5 85.500 (84.329)
Epoch: [82][7740/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6977 (1.6454)	Prec@1 53.000 (55.772)	Prec@5 81.500 (84.328)
Epoch: [82][7750/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.5181 (1.6454)	Prec@1 55.000 (55.769)	Prec@5 88.500 (84.329)
Epoch: [82][7760/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6588 (1.6454)	Prec@1 55.500 (55.770)	Prec@5 86.000 (84.328)
Epoch: [82][7770/9018]	Time 0.733 (0.615)	Data 0.001 (0.001)	Loss 1.8663 (1.6455)	Prec@1 48.000 (55.767)	Prec@5 85.500 (84.327)
Epoch: [82][7780/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.7113 (1.6456)	Prec@1 51.000 (55.765)	Prec@5 88.000 (84.327)
Epoch: [82][7790/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6119 (1.6457)	Prec@1 55.500 (55.762)	Prec@5 80.000 (84.326)
Epoch: [82][7800/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.5137 (1.6456)	Prec@1 64.500 (55.763)	Prec@5 86.500 (84.328)
Epoch: [82][7810/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.5544 (1.6455)	Prec@1 57.500 (55.765)	Prec@5 85.000 (84.330)
Epoch: [82][7820/9018]	Time 0.740 (0.615)	Data 0.001 (0.001)	Loss 1.6445 (1.6455)	Prec@1 57.000 (55.766)	Prec@5 83.000 (84.330)
Epoch: [82][7830/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6685 (1.6455)	Prec@1 53.500 (55.766)	Prec@5 85.000 (84.331)
Epoch: [82][7840/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8486 (1.6455)	Prec@1 54.000 (55.765)	Prec@5 80.000 (84.330)
Epoch: [82][7850/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.6957 (1.6455)	Prec@1 57.000 (55.766)	Prec@5 81.500 (84.330)
Epoch: [82][7860/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.7908 (1.6456)	Prec@1 52.500 (55.763)	Prec@5 79.000 (84.328)
Epoch: [82][7870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5360 (1.6456)	Prec@1 60.500 (55.764)	Prec@5 84.000 (84.328)
Epoch: [82][7880/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7337 (1.6456)	Prec@1 51.500 (55.764)	Prec@5 82.000 (84.328)
Epoch: [82][7890/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.4451 (1.6456)	Prec@1 61.000 (55.763)	Prec@5 87.500 (84.328)
Epoch: [82][7900/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6337 (1.6456)	Prec@1 52.000 (55.762)	Prec@5 87.000 (84.328)
Epoch: [82][7910/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.7895 (1.6457)	Prec@1 56.000 (55.762)	Prec@5 80.500 (84.328)
Epoch: [82][7920/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.4093 (1.6457)	Prec@1 60.500 (55.762)	Prec@5 88.000 (84.327)
Epoch: [82][7930/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.7518 (1.6457)	Prec@1 51.000 (55.761)	Prec@5 83.000 (84.327)
Epoch: [82][7940/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.5074 (1.6457)	Prec@1 58.500 (55.759)	Prec@5 89.000 (84.326)
Epoch: [82][7950/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.5614 (1.6457)	Prec@1 60.500 (55.762)	Prec@5 84.000 (84.326)
Epoch: [82][7960/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6522 (1.6457)	Prec@1 55.500 (55.762)	Prec@5 85.000 (84.326)
Epoch: [82][7970/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.5082 (1.6457)	Prec@1 60.500 (55.760)	Prec@5 84.500 (84.325)
Epoch: [82][7980/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.6023 (1.6456)	Prec@1 57.500 (55.762)	Prec@5 83.500 (84.326)
Epoch: [82][7990/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.8188 (1.6456)	Prec@1 49.500 (55.762)	Prec@5 81.500 (84.327)
Epoch: [82][8000/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.5976 (1.6457)	Prec@1 56.000 (55.760)	Prec@5 82.500 (84.324)
Epoch: [82][8010/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7417 (1.6457)	Prec@1 51.500 (55.759)	Prec@5 84.500 (84.324)
Epoch: [82][8020/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6690 (1.6457)	Prec@1 55.000 (55.759)	Prec@5 80.500 (84.323)
Epoch: [82][8030/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6847 (1.6458)	Prec@1 49.500 (55.756)	Prec@5 82.500 (84.321)
Epoch: [82][8040/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.5572 (1.6458)	Prec@1 58.500 (55.756)	Prec@5 87.000 (84.321)
Epoch: [82][8050/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.7118 (1.6458)	Prec@1 57.000 (55.757)	Prec@5 83.500 (84.321)
Epoch: [82][8060/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7926 (1.6459)	Prec@1 51.500 (55.756)	Prec@5 83.500 (84.320)
Epoch: [82][8070/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.8770 (1.6460)	Prec@1 48.000 (55.755)	Prec@5 84.000 (84.319)
Epoch: [82][8080/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6150 (1.6460)	Prec@1 54.000 (55.755)	Prec@5 84.500 (84.319)
Epoch: [82][8090/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6214 (1.6459)	Prec@1 53.500 (55.755)	Prec@5 86.500 (84.320)
Epoch: [82][8100/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 1.5851 (1.6459)	Prec@1 56.500 (55.754)	Prec@5 84.500 (84.320)
Epoch: [82][8110/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.6821 (1.6460)	Prec@1 56.000 (55.753)	Prec@5 84.500 (84.319)
Epoch: [82][8120/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.6760 (1.6459)	Prec@1 56.500 (55.756)	Prec@5 83.000 (84.320)
Epoch: [82][8130/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 1.6344 (1.6458)	Prec@1 55.500 (55.757)	Prec@5 84.000 (84.321)
Epoch: [82][8140/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6676 (1.6459)	Prec@1 58.500 (55.757)	Prec@5 81.500 (84.319)
Epoch: [82][8150/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 1.4159 (1.6459)	Prec@1 61.500 (55.760)	Prec@5 87.500 (84.319)
Epoch: [82][8160/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6668 (1.6458)	Prec@1 55.500 (55.761)	Prec@5 82.500 (84.320)
Epoch: [82][8170/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6737 (1.6459)	Prec@1 55.000 (55.761)	Prec@5 82.500 (84.318)
Epoch: [82][8180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7213 (1.6459)	Prec@1 52.500 (55.759)	Prec@5 83.500 (84.317)
Epoch: [82][8190/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5234 (1.6459)	Prec@1 59.500 (55.761)	Prec@5 85.500 (84.318)
Epoch: [82][8200/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.6390 (1.6459)	Prec@1 56.500 (55.761)	Prec@5 84.500 (84.318)
Epoch: [82][8210/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.4307 (1.6459)	Prec@1 56.500 (55.760)	Prec@5 86.500 (84.319)
Epoch: [82][8220/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7044 (1.6459)	Prec@1 57.000 (55.759)	Prec@5 82.500 (84.318)
Epoch: [82][8230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6571 (1.6460)	Prec@1 53.500 (55.758)	Prec@5 81.000 (84.316)
Epoch: [82][8240/9018]	Time 0.587 (0.615)	Data 0.001 (0.001)	Loss 1.3714 (1.6459)	Prec@1 62.000 (55.758)	Prec@5 88.500 (84.316)
Epoch: [82][8250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8125 (1.6460)	Prec@1 57.000 (55.759)	Prec@5 80.500 (84.315)
Epoch: [82][8260/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.4572 (1.6459)	Prec@1 59.500 (55.759)	Prec@5 89.000 (84.317)
Epoch: [82][8270/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8007 (1.6460)	Prec@1 54.500 (55.757)	Prec@5 83.000 (84.316)
Epoch: [82][8280/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6567 (1.6460)	Prec@1 52.500 (55.755)	Prec@5 85.500 (84.317)
Epoch: [82][8290/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6012 (1.6461)	Prec@1 54.500 (55.754)	Prec@5 85.500 (84.316)
Epoch: [82][8300/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.7553 (1.6462)	Prec@1 53.500 (55.751)	Prec@5 85.500 (84.314)
Epoch: [82][8310/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 1.5717 (1.6462)	Prec@1 53.000 (55.752)	Prec@5 87.500 (84.314)
Epoch: [82][8320/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.6474 (1.6462)	Prec@1 59.500 (55.753)	Prec@5 82.500 (84.315)
Epoch: [82][8330/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.7227 (1.6461)	Prec@1 53.500 (55.754)	Prec@5 83.000 (84.314)
Epoch: [82][8340/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.5192 (1.6462)	Prec@1 61.000 (55.753)	Prec@5 85.500 (84.315)
Epoch: [82][8350/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.6250 (1.6461)	Prec@1 54.000 (55.754)	Prec@5 82.500 (84.316)
Epoch: [82][8360/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.6480 (1.6462)	Prec@1 53.000 (55.752)	Prec@5 84.000 (84.315)
Epoch: [82][8370/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5374 (1.6462)	Prec@1 56.500 (55.751)	Prec@5 87.000 (84.315)
Epoch: [82][8380/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.7849 (1.6462)	Prec@1 53.500 (55.751)	Prec@5 81.500 (84.314)
Epoch: [82][8390/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6911 (1.6462)	Prec@1 51.000 (55.749)	Prec@5 84.000 (84.315)
Epoch: [82][8400/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.7293 (1.6462)	Prec@1 50.500 (55.749)	Prec@5 86.000 (84.314)
Epoch: [82][8410/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8862 (1.6463)	Prec@1 53.000 (55.746)	Prec@5 81.000 (84.312)
Epoch: [82][8420/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.6820 (1.6463)	Prec@1 53.000 (55.745)	Prec@5 86.500 (84.312)
Epoch: [82][8430/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 1.5812 (1.6463)	Prec@1 54.500 (55.744)	Prec@5 83.500 (84.313)
Epoch: [82][8440/9018]	Time 0.645 (0.615)	Data 0.001 (0.001)	Loss 1.6547 (1.6463)	Prec@1 55.500 (55.743)	Prec@5 83.000 (84.312)
Epoch: [82][8450/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.7128 (1.6463)	Prec@1 54.000 (55.744)	Prec@5 82.500 (84.313)
Epoch: [82][8460/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.6210 (1.6462)	Prec@1 57.500 (55.745)	Prec@5 85.500 (84.314)
Epoch: [82][8470/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.5069 (1.6462)	Prec@1 62.500 (55.746)	Prec@5 86.000 (84.315)
Epoch: [82][8480/9018]	Time 0.716 (0.615)	Data 0.001 (0.001)	Loss 1.7366 (1.6462)	Prec@1 51.500 (55.744)	Prec@5 84.000 (84.314)
Epoch: [82][8490/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.5592 (1.6463)	Prec@1 55.500 (55.742)	Prec@5 85.000 (84.313)
Epoch: [82][8500/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5205 (1.6463)	Prec@1 61.000 (55.742)	Prec@5 88.000 (84.313)
Epoch: [82][8510/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.5471 (1.6464)	Prec@1 63.500 (55.740)	Prec@5 85.500 (84.311)
Epoch: [82][8520/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7027 (1.6464)	Prec@1 56.000 (55.742)	Prec@5 81.000 (84.311)
Epoch: [82][8530/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.6411 (1.6464)	Prec@1 54.500 (55.741)	Prec@5 83.500 (84.310)
Epoch: [82][8540/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.6573 (1.6464)	Prec@1 59.500 (55.740)	Prec@5 84.500 (84.311)
Epoch: [82][8550/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7930 (1.6464)	Prec@1 51.500 (55.742)	Prec@5 80.500 (84.311)
Epoch: [82][8560/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.8145 (1.6464)	Prec@1 58.500 (55.741)	Prec@5 80.500 (84.310)
Epoch: [82][8570/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.6086 (1.6465)	Prec@1 54.000 (55.741)	Prec@5 84.000 (84.309)
Epoch: [82][8580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6737 (1.6465)	Prec@1 56.500 (55.742)	Prec@5 84.500 (84.311)
Epoch: [82][8590/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.9246 (1.6465)	Prec@1 44.500 (55.741)	Prec@5 79.500 (84.310)
Epoch: [82][8600/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8652 (1.6465)	Prec@1 53.500 (55.741)	Prec@5 81.500 (84.309)
Epoch: [82][8610/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.5410 (1.6465)	Prec@1 57.000 (55.743)	Prec@5 87.000 (84.309)
Epoch: [82][8620/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7139 (1.6465)	Prec@1 53.500 (55.744)	Prec@5 82.000 (84.309)
Epoch: [82][8630/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7428 (1.6466)	Prec@1 58.000 (55.742)	Prec@5 84.000 (84.308)
Epoch: [82][8640/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.3758 (1.6465)	Prec@1 61.500 (55.743)	Prec@5 88.500 (84.309)
Epoch: [82][8650/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 1.5135 (1.6465)	Prec@1 60.000 (55.743)	Prec@5 85.000 (84.309)
Epoch: [82][8660/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6950 (1.6466)	Prec@1 57.000 (55.742)	Prec@5 81.500 (84.309)
Epoch: [82][8670/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.4588 (1.6465)	Prec@1 60.500 (55.743)	Prec@5 88.000 (84.309)
Epoch: [82][8680/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.8149 (1.6466)	Prec@1 53.500 (55.740)	Prec@5 83.000 (84.309)
Epoch: [82][8690/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6203 (1.6465)	Prec@1 57.500 (55.742)	Prec@5 81.500 (84.310)
Epoch: [82][8700/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.4777 (1.6465)	Prec@1 52.000 (55.741)	Prec@5 88.500 (84.310)
Epoch: [82][8710/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.6854 (1.6466)	Prec@1 54.500 (55.741)	Prec@5 79.000 (84.309)
Epoch: [82][8720/9018]	Time 0.588 (0.615)	Data 0.001 (0.001)	Loss 1.8857 (1.6466)	Prec@1 53.500 (55.742)	Prec@5 81.000 (84.309)
Epoch: [82][8730/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.7931 (1.6466)	Prec@1 53.000 (55.740)	Prec@5 80.000 (84.308)
Epoch: [82][8740/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6151 (1.6466)	Prec@1 55.000 (55.738)	Prec@5 85.000 (84.308)
Epoch: [82][8750/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.5358 (1.6466)	Prec@1 57.500 (55.738)	Prec@5 88.500 (84.309)
Epoch: [82][8760/9018]	Time 0.726 (0.615)	Data 0.001 (0.001)	Loss 1.5895 (1.6466)	Prec@1 55.000 (55.739)	Prec@5 85.000 (84.310)
Epoch: [82][8770/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.5763 (1.6467)	Prec@1 56.000 (55.738)	Prec@5 86.000 (84.309)
Epoch: [82][8780/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6193 (1.6467)	Prec@1 55.500 (55.739)	Prec@5 87.000 (84.309)
Epoch: [82][8790/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.5887 (1.6466)	Prec@1 55.000 (55.741)	Prec@5 84.000 (84.310)
Epoch: [82][8800/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.6112 (1.6465)	Prec@1 58.000 (55.743)	Prec@5 80.500 (84.311)
Epoch: [82][8810/9018]	Time 0.739 (0.615)	Data 0.001 (0.001)	Loss 1.7419 (1.6466)	Prec@1 52.500 (55.740)	Prec@5 81.500 (84.309)
Epoch: [82][8820/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.6107 (1.6466)	Prec@1 55.000 (55.739)	Prec@5 85.000 (84.309)
Epoch: [82][8830/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6482 (1.6467)	Prec@1 52.000 (55.737)	Prec@5 83.500 (84.306)
Epoch: [82][8840/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7700 (1.6467)	Prec@1 54.500 (55.738)	Prec@5 80.500 (84.307)
Epoch: [82][8850/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 1.6798 (1.6467)	Prec@1 54.000 (55.737)	Prec@5 84.000 (84.306)
Epoch: [82][8860/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.7512 (1.6468)	Prec@1 53.500 (55.736)	Prec@5 79.500 (84.305)
Epoch: [82][8870/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5558 (1.6468)	Prec@1 54.500 (55.735)	Prec@5 89.000 (84.305)
Epoch: [82][8880/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.6269 (1.6469)	Prec@1 55.500 (55.734)	Prec@5 84.500 (84.304)
Epoch: [82][8890/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.7446 (1.6469)	Prec@1 57.000 (55.735)	Prec@5 81.000 (84.305)
Epoch: [82][8900/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.5009 (1.6469)	Prec@1 59.000 (55.734)	Prec@5 86.500 (84.304)
Epoch: [82][8910/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.6552 (1.6469)	Prec@1 54.500 (55.733)	Prec@5 85.000 (84.304)
Epoch: [82][8920/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.6584 (1.6469)	Prec@1 55.000 (55.733)	Prec@5 85.000 (84.304)
Epoch: [82][8930/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.4444 (1.6469)	Prec@1 58.000 (55.734)	Prec@5 86.000 (84.305)
Epoch: [82][8940/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.6709 (1.6469)	Prec@1 58.000 (55.733)	Prec@5 82.500 (84.304)
Epoch: [82][8950/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.7328 (1.6469)	Prec@1 54.000 (55.732)	Prec@5 82.500 (84.305)
Epoch: [82][8960/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.6830 (1.6469)	Prec@1 50.000 (55.730)	Prec@5 82.500 (84.305)
Epoch: [82][8970/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.5272 (1.6469)	Prec@1 53.000 (55.732)	Prec@5 88.500 (84.305)
Epoch: [82][8980/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8684 (1.6469)	Prec@1 51.500 (55.730)	Prec@5 80.500 (84.305)
Epoch: [82][8990/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8835 (1.6470)	Prec@1 51.000 (55.729)	Prec@5 80.000 (84.304)
Epoch: [82][9000/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6691 (1.6470)	Prec@1 51.000 (55.730)	Prec@5 83.000 (84.304)
Epoch: [82][9010/9018]	Time 0.614 (0.615)	Data 0.000 (0.001)	Loss 1.8688 (1.6470)	Prec@1 50.500 (55.730)	Prec@5 83.000 (84.305)
Test: [0/183]	Time 1.359 (1.359)	Loss 2.6103 (2.6103)	Prec@1 31.500 (31.500)	Prec@5 69.500 (69.500)
Test: [10/183]	Time 0.188 (0.305)	Loss 1.6247 (1.6589)	Prec@1 59.000 (56.636)	Prec@5 85.500 (86.045)
Test: [20/183]	Time 0.194 (0.251)	Loss 2.0539 (1.6220)	Prec@1 46.500 (56.357)	Prec@5 80.500 (86.095)
Test: [30/183]	Time 0.190 (0.237)	Loss 2.3214 (1.6391)	Prec@1 32.500 (55.210)	Prec@5 78.000 (86.161)
Test: [40/183]	Time 0.184 (0.227)	Loss 2.1207 (1.6461)	Prec@1 41.500 (55.805)	Prec@5 79.500 (85.439)
Test: [50/183]	Time 0.193 (0.219)	Loss 1.4294 (1.6177)	Prec@1 57.000 (56.510)	Prec@5 89.500 (85.716)
Test: [60/183]	Time 0.184 (0.215)	Loss 2.1319 (1.6894)	Prec@1 45.500 (54.500)	Prec@5 77.000 (84.893)
Test: [70/183]	Time 0.181 (0.212)	Loss 1.7698 (1.6705)	Prec@1 47.000 (54.852)	Prec@5 85.500 (85.289)
Test: [80/183]	Time 0.184 (0.210)	Loss 1.2964 (1.6504)	Prec@1 59.000 (55.086)	Prec@5 92.500 (85.506)
Test: [90/183]	Time 0.185 (0.208)	Loss 2.1755 (1.6452)	Prec@1 41.000 (55.341)	Prec@5 73.500 (85.577)
Test: [100/183]	Time 0.201 (0.206)	Loss 0.7817 (1.6484)	Prec@1 78.000 (55.302)	Prec@5 95.500 (85.515)
Test: [110/183]	Time 0.186 (0.206)	Loss 0.6574 (1.6481)	Prec@1 83.500 (55.329)	Prec@5 96.000 (85.495)
Test: [120/183]	Time 0.186 (0.204)	Loss 2.1402 (1.6569)	Prec@1 44.500 (55.017)	Prec@5 74.500 (85.393)
Test: [130/183]	Time 0.184 (0.203)	Loss 2.9760 (1.6671)	Prec@1 22.000 (54.729)	Prec@5 70.000 (85.477)
Test: [140/183]	Time 0.196 (0.203)	Loss 1.5470 (1.6567)	Prec@1 62.000 (55.071)	Prec@5 86.500 (85.613)
Test: [150/183]	Time 0.188 (0.202)	Loss 0.6575 (1.6557)	Prec@1 81.500 (55.179)	Prec@5 97.000 (85.632)
Test: [160/183]	Time 0.185 (0.202)	Loss 1.5629 (1.6497)	Prec@1 56.000 (55.478)	Prec@5 87.000 (85.717)
Test: [170/183]	Time 0.195 (0.201)	Loss 2.0364 (1.6647)	Prec@1 39.500 (55.108)	Prec@5 83.500 (85.550)
Test: [180/183]	Time 0.180 (0.200)	Loss 2.0768 (1.6735)	Prec@1 42.500 (54.961)	Prec@5 80.000 (85.351)
 * Prec@1 54.951 Prec@5 85.332
Epoch: [83][0/9018]	Time 2.803 (2.803)	Data 2.212 (2.212)	Loss 1.5754 (1.5754)	Prec@1 58.500 (58.500)	Prec@5 85.500 (85.500)
Epoch: [83][10/9018]	Time 0.593 (0.816)	Data 0.001 (0.202)	Loss 1.7554 (1.6610)	Prec@1 54.000 (55.591)	Prec@5 81.500 (83.773)
Epoch: [83][20/9018]	Time 0.595 (0.709)	Data 0.001 (0.106)	Loss 1.4572 (1.6301)	Prec@1 57.500 (56.452)	Prec@5 89.000 (84.643)
Epoch: [83][30/9018]	Time 0.591 (0.678)	Data 0.001 (0.072)	Loss 1.3472 (1.6419)	Prec@1 61.500 (55.984)	Prec@5 87.000 (84.258)
Epoch: [83][40/9018]	Time 0.588 (0.661)	Data 0.001 (0.055)	Loss 1.7268 (1.6295)	Prec@1 53.500 (56.451)	Prec@5 83.000 (84.305)
Epoch: [83][50/9018]	Time 0.642 (0.651)	Data 0.001 (0.044)	Loss 1.8462 (1.6358)	Prec@1 56.500 (56.275)	Prec@5 80.000 (84.206)
Epoch: [83][60/9018]	Time 0.619 (0.647)	Data 0.001 (0.037)	Loss 1.4898 (1.6239)	Prec@1 61.500 (56.467)	Prec@5 86.500 (84.500)
Epoch: [83][70/9018]	Time 0.598 (0.642)	Data 0.001 (0.032)	Loss 1.6205 (1.6188)	Prec@1 56.000 (56.613)	Prec@5 87.500 (84.577)
Epoch: [83][80/9018]	Time 0.627 (0.639)	Data 0.001 (0.028)	Loss 1.7497 (1.6274)	Prec@1 49.000 (56.321)	Prec@5 85.000 (84.463)
Epoch: [83][90/9018]	Time 0.603 (0.637)	Data 0.001 (0.025)	Loss 1.4869 (1.6251)	Prec@1 58.000 (56.330)	Prec@5 87.500 (84.582)
Epoch: [83][100/9018]	Time 0.636 (0.635)	Data 0.001 (0.023)	Loss 1.3392 (1.6215)	Prec@1 65.000 (56.554)	Prec@5 90.000 (84.678)
Epoch: [83][110/9018]	Time 0.600 (0.634)	Data 0.001 (0.021)	Loss 1.6038 (1.6269)	Prec@1 56.500 (56.383)	Prec@5 84.500 (84.568)
Epoch: [83][120/9018]	Time 0.620 (0.631)	Data 0.001 (0.019)	Loss 1.5528 (1.6264)	Prec@1 58.500 (56.355)	Prec@5 84.500 (84.624)
Epoch: [83][130/9018]	Time 0.598 (0.630)	Data 0.001 (0.018)	Loss 1.6911 (1.6281)	Prec@1 56.000 (56.252)	Prec@5 81.500 (84.649)
Epoch: [83][140/9018]	Time 0.605 (0.629)	Data 0.001 (0.016)	Loss 1.4825 (1.6261)	Prec@1 57.500 (56.298)	Prec@5 88.500 (84.677)
Epoch: [83][150/9018]	Time 0.603 (0.628)	Data 0.001 (0.015)	Loss 1.6974 (1.6241)	Prec@1 52.500 (56.232)	Prec@5 81.500 (84.705)
Epoch: [83][160/9018]	Time 0.609 (0.628)	Data 0.001 (0.014)	Loss 1.5980 (1.6248)	Prec@1 60.500 (56.283)	Prec@5 83.500 (84.649)
Epoch: [83][170/9018]	Time 0.707 (0.628)	Data 0.001 (0.014)	Loss 1.4413 (1.6234)	Prec@1 57.500 (56.260)	Prec@5 87.000 (84.652)
Epoch: [83][180/9018]	Time 0.602 (0.627)	Data 0.001 (0.013)	Loss 1.4620 (1.6226)	Prec@1 61.000 (56.273)	Prec@5 87.500 (84.674)
Epoch: [83][190/9018]	Time 0.594 (0.626)	Data 0.001 (0.012)	Loss 1.6155 (1.6218)	Prec@1 57.500 (56.348)	Prec@5 84.500 (84.649)
Epoch: [83][200/9018]	Time 0.610 (0.626)	Data 0.001 (0.012)	Loss 1.7645 (1.6205)	Prec@1 53.500 (56.423)	Prec@5 79.500 (84.634)
Epoch: [83][210/9018]	Time 0.596 (0.625)	Data 0.001 (0.011)	Loss 1.4361 (1.6176)	Prec@1 63.500 (56.512)	Prec@5 88.500 (84.678)
Epoch: [83][220/9018]	Time 0.718 (0.625)	Data 0.001 (0.011)	Loss 1.8202 (1.6186)	Prec@1 54.500 (56.570)	Prec@5 82.500 (84.670)
Epoch: [83][230/9018]	Time 0.613 (0.624)	Data 0.001 (0.010)	Loss 1.6699 (1.6190)	Prec@1 57.000 (56.548)	Prec@5 82.500 (84.680)
Epoch: [83][240/9018]	Time 0.616 (0.624)	Data 0.001 (0.010)	Loss 1.7127 (1.6194)	Prec@1 52.500 (56.500)	Prec@5 82.000 (84.687)
Epoch: [83][250/9018]	Time 0.601 (0.623)	Data 0.001 (0.010)	Loss 1.6627 (1.6231)	Prec@1 53.500 (56.414)	Prec@5 83.000 (84.631)
Epoch: [83][260/9018]	Time 0.595 (0.623)	Data 0.001 (0.009)	Loss 1.6743 (1.6221)	Prec@1 54.000 (56.427)	Prec@5 83.000 (84.626)
Epoch: [83][270/9018]	Time 0.612 (0.623)	Data 0.001 (0.009)	Loss 1.5307 (1.6221)	Prec@1 61.000 (56.450)	Prec@5 88.000 (84.635)
Epoch: [83][280/9018]	Time 0.611 (0.623)	Data 0.001 (0.009)	Loss 1.8079 (1.6202)	Prec@1 54.000 (56.495)	Prec@5 80.000 (84.651)
Epoch: [83][290/9018]	Time 0.601 (0.622)	Data 0.001 (0.008)	Loss 1.7153 (1.6212)	Prec@1 53.000 (56.447)	Prec@5 82.000 (84.622)
Epoch: [83][300/9018]	Time 0.602 (0.622)	Data 0.001 (0.008)	Loss 1.3890 (1.6205)	Prec@1 60.000 (56.467)	Prec@5 88.500 (84.620)
Epoch: [83][310/9018]	Time 0.618 (0.622)	Data 0.001 (0.008)	Loss 1.7213 (1.6225)	Prec@1 53.000 (56.415)	Prec@5 82.000 (84.553)
Epoch: [83][320/9018]	Time 0.619 (0.622)	Data 0.001 (0.008)	Loss 1.6061 (1.6220)	Prec@1 55.000 (56.407)	Prec@5 87.000 (84.579)
Epoch: [83][330/9018]	Time 0.592 (0.621)	Data 0.001 (0.007)	Loss 1.6227 (1.6203)	Prec@1 58.000 (56.461)	Prec@5 83.000 (84.589)
Epoch: [83][340/9018]	Time 0.596 (0.621)	Data 0.001 (0.007)	Loss 1.5935 (1.6217)	Prec@1 57.500 (56.415)	Prec@5 84.000 (84.566)
Epoch: [83][350/9018]	Time 0.616 (0.621)	Data 0.001 (0.007)	Loss 1.5957 (1.6220)	Prec@1 61.500 (56.432)	Prec@5 84.000 (84.564)
Epoch: [83][360/9018]	Time 0.610 (0.621)	Data 0.001 (0.007)	Loss 1.6545 (1.6223)	Prec@1 54.000 (56.418)	Prec@5 87.000 (84.568)
Epoch: [83][370/9018]	Time 0.600 (0.621)	Data 0.001 (0.007)	Loss 1.8977 (1.6233)	Prec@1 54.500 (56.420)	Prec@5 77.500 (84.549)
Epoch: [83][380/9018]	Time 0.629 (0.620)	Data 0.001 (0.007)	Loss 1.6803 (1.6235)	Prec@1 54.000 (56.419)	Prec@5 81.500 (84.539)
Epoch: [83][390/9018]	Time 0.597 (0.620)	Data 0.001 (0.006)	Loss 1.6118 (1.6237)	Prec@1 56.000 (56.402)	Prec@5 87.000 (84.560)
Epoch: [83][400/9018]	Time 0.606 (0.620)	Data 0.001 (0.006)	Loss 1.5742 (1.6248)	Prec@1 59.000 (56.385)	Prec@5 86.000 (84.530)
Epoch: [83][410/9018]	Time 0.596 (0.620)	Data 0.001 (0.006)	Loss 1.5301 (1.6237)	Prec@1 60.500 (56.429)	Prec@5 89.500 (84.561)
Epoch: [83][420/9018]	Time 0.624 (0.620)	Data 0.001 (0.006)	Loss 1.7115 (1.6236)	Prec@1 53.500 (56.447)	Prec@5 80.500 (84.539)
Epoch: [83][430/9018]	Time 0.601 (0.620)	Data 0.001 (0.006)	Loss 1.5304 (1.6216)	Prec@1 57.500 (56.481)	Prec@5 85.500 (84.564)
Epoch: [83][440/9018]	Time 0.609 (0.620)	Data 0.001 (0.006)	Loss 1.5643 (1.6208)	Prec@1 61.000 (56.524)	Prec@5 85.500 (84.575)
Epoch: [83][450/9018]	Time 0.631 (0.620)	Data 0.001 (0.006)	Loss 1.5166 (1.6210)	Prec@1 61.000 (56.534)	Prec@5 91.500 (84.586)
Epoch: [83][460/9018]	Time 0.600 (0.620)	Data 0.001 (0.006)	Loss 1.5122 (1.6207)	Prec@1 54.500 (56.555)	Prec@5 89.500 (84.604)
Epoch: [83][470/9018]	Time 0.607 (0.619)	Data 0.001 (0.005)	Loss 1.6492 (1.6204)	Prec@1 55.500 (56.565)	Prec@5 87.000 (84.619)
Epoch: [83][480/9018]	Time 0.601 (0.619)	Data 0.001 (0.005)	Loss 1.6061 (1.6206)	Prec@1 58.000 (56.543)	Prec@5 87.500 (84.619)
Epoch: [83][490/9018]	Time 0.600 (0.619)	Data 0.001 (0.005)	Loss 1.7640 (1.6206)	Prec@1 56.500 (56.562)	Prec@5 86.500 (84.618)
Epoch: [83][500/9018]	Time 0.773 (0.619)	Data 0.001 (0.005)	Loss 1.6599 (1.6214)	Prec@1 55.500 (56.527)	Prec@5 85.000 (84.611)
Epoch: [83][510/9018]	Time 0.595 (0.619)	Data 0.001 (0.005)	Loss 1.6900 (1.6223)	Prec@1 56.500 (56.499)	Prec@5 81.500 (84.604)
Epoch: [83][520/9018]	Time 0.600 (0.619)	Data 0.001 (0.005)	Loss 1.6884 (1.6219)	Prec@1 61.000 (56.512)	Prec@5 83.500 (84.624)
Epoch: [83][530/9018]	Time 0.604 (0.619)	Data 0.001 (0.005)	Loss 1.5983 (1.6222)	Prec@1 55.500 (56.500)	Prec@5 84.500 (84.618)
Epoch: [83][540/9018]	Time 0.600 (0.619)	Data 0.001 (0.005)	Loss 1.7690 (1.6222)	Prec@1 55.500 (56.504)	Prec@5 80.000 (84.616)
Epoch: [83][550/9018]	Time 0.720 (0.619)	Data 0.001 (0.005)	Loss 1.6276 (1.6220)	Prec@1 55.500 (56.491)	Prec@5 83.000 (84.619)
Epoch: [83][560/9018]	Time 0.601 (0.618)	Data 0.001 (0.005)	Loss 1.6606 (1.6211)	Prec@1 57.500 (56.526)	Prec@5 79.500 (84.627)
Epoch: [83][570/9018]	Time 0.595 (0.618)	Data 0.001 (0.005)	Loss 1.8027 (1.6203)	Prec@1 51.500 (56.540)	Prec@5 84.500 (84.644)
Epoch: [83][580/9018]	Time 0.595 (0.618)	Data 0.001 (0.005)	Loss 1.6393 (1.6203)	Prec@1 51.000 (56.528)	Prec@5 85.000 (84.646)
Epoch: [83][590/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 1.6190 (1.6199)	Prec@1 60.000 (56.550)	Prec@5 85.000 (84.648)
Epoch: [83][600/9018]	Time 0.593 (0.618)	Data 0.001 (0.004)	Loss 1.5843 (1.6205)	Prec@1 59.500 (56.545)	Prec@5 83.500 (84.637)
Epoch: [83][610/9018]	Time 0.624 (0.618)	Data 0.001 (0.004)	Loss 1.6522 (1.6214)	Prec@1 58.000 (56.511)	Prec@5 82.000 (84.616)
Epoch: [83][620/9018]	Time 0.621 (0.618)	Data 0.001 (0.004)	Loss 1.4674 (1.6209)	Prec@1 59.000 (56.514)	Prec@5 88.500 (84.634)
Epoch: [83][630/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 1.5091 (1.6211)	Prec@1 61.500 (56.513)	Prec@5 86.500 (84.645)
Epoch: [83][640/9018]	Time 0.604 (0.618)	Data 0.001 (0.004)	Loss 1.6135 (1.6203)	Prec@1 57.000 (56.511)	Prec@5 82.000 (84.665)
Epoch: [83][650/9018]	Time 0.599 (0.618)	Data 0.001 (0.004)	Loss 1.7235 (1.6207)	Prec@1 56.000 (56.503)	Prec@5 84.000 (84.663)
Epoch: [83][660/9018]	Time 0.609 (0.618)	Data 0.001 (0.004)	Loss 1.7357 (1.6218)	Prec@1 51.000 (56.469)	Prec@5 83.000 (84.639)
Epoch: [83][670/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 1.5640 (1.6221)	Prec@1 56.000 (56.443)	Prec@5 86.000 (84.644)
Epoch: [83][680/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 1.6644 (1.6217)	Prec@1 54.500 (56.448)	Prec@5 79.000 (84.651)
Epoch: [83][690/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 1.6093 (1.6215)	Prec@1 58.500 (56.440)	Prec@5 85.500 (84.666)
Epoch: [83][700/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 1.4920 (1.6210)	Prec@1 59.000 (56.445)	Prec@5 88.500 (84.693)
Epoch: [83][710/9018]	Time 0.607 (0.618)	Data 0.001 (0.004)	Loss 1.5682 (1.6211)	Prec@1 55.500 (56.439)	Prec@5 84.000 (84.697)
Epoch: [83][720/9018]	Time 0.627 (0.618)	Data 0.001 (0.004)	Loss 1.7951 (1.6220)	Prec@1 47.500 (56.399)	Prec@5 85.000 (84.698)
Epoch: [83][730/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 1.5691 (1.6220)	Prec@1 58.000 (56.399)	Prec@5 84.500 (84.704)
Epoch: [83][740/9018]	Time 0.606 (0.617)	Data 0.001 (0.004)	Loss 1.5981 (1.6228)	Prec@1 61.000 (56.386)	Prec@5 84.000 (84.684)
Epoch: [83][750/9018]	Time 0.625 (0.617)	Data 0.001 (0.004)	Loss 1.5940 (1.6228)	Prec@1 56.000 (56.368)	Prec@5 86.500 (84.686)
Epoch: [83][760/9018]	Time 0.626 (0.617)	Data 0.001 (0.004)	Loss 1.6221 (1.6230)	Prec@1 57.000 (56.343)	Prec@5 82.500 (84.688)
Epoch: [83][770/9018]	Time 0.596 (0.617)	Data 0.001 (0.004)	Loss 1.7635 (1.6239)	Prec@1 52.000 (56.329)	Prec@5 83.000 (84.676)
Epoch: [83][780/9018]	Time 0.609 (0.617)	Data 0.001 (0.004)	Loss 1.7406 (1.6241)	Prec@1 55.000 (56.324)	Prec@5 83.000 (84.681)
Epoch: [83][790/9018]	Time 0.613 (0.617)	Data 0.001 (0.004)	Loss 1.8678 (1.6245)	Prec@1 50.500 (56.307)	Prec@5 82.000 (84.678)
Epoch: [83][800/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 1.6343 (1.6250)	Prec@1 58.000 (56.313)	Prec@5 84.500 (84.665)
Epoch: [83][810/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 1.7610 (1.6249)	Prec@1 52.500 (56.316)	Prec@5 82.000 (84.671)
Epoch: [83][820/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.6767 (1.6253)	Prec@1 54.500 (56.313)	Prec@5 83.500 (84.651)
Epoch: [83][830/9018]	Time 0.744 (0.617)	Data 0.001 (0.003)	Loss 1.4701 (1.6254)	Prec@1 57.500 (56.318)	Prec@5 88.500 (84.649)
Epoch: [83][840/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.8877 (1.6266)	Prec@1 50.500 (56.281)	Prec@5 82.000 (84.642)
Epoch: [83][850/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.6873 (1.6266)	Prec@1 55.000 (56.283)	Prec@5 81.500 (84.637)
Epoch: [83][860/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.6685 (1.6264)	Prec@1 57.000 (56.282)	Prec@5 83.500 (84.634)
Epoch: [83][870/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 1.3143 (1.6266)	Prec@1 63.500 (56.294)	Prec@5 90.500 (84.626)
Epoch: [83][880/9018]	Time 0.737 (0.617)	Data 0.001 (0.003)	Loss 1.5778 (1.6271)	Prec@1 59.000 (56.280)	Prec@5 85.000 (84.618)
Epoch: [83][890/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.6594 (1.6268)	Prec@1 56.500 (56.291)	Prec@5 83.000 (84.618)
Epoch: [83][900/9018]	Time 0.593 (0.617)	Data 0.001 (0.003)	Loss 1.7940 (1.6266)	Prec@1 50.500 (56.276)	Prec@5 82.500 (84.626)
Epoch: [83][910/9018]	Time 0.630 (0.617)	Data 0.001 (0.003)	Loss 1.5008 (1.6265)	Prec@1 55.500 (56.284)	Prec@5 87.500 (84.626)
Epoch: [83][920/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 1.4566 (1.6266)	Prec@1 62.000 (56.282)	Prec@5 86.500 (84.627)
Epoch: [83][930/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 1.8357 (1.6266)	Prec@1 55.500 (56.300)	Prec@5 79.000 (84.636)
Epoch: [83][940/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 1.5049 (1.6259)	Prec@1 56.500 (56.300)	Prec@5 85.500 (84.650)
Epoch: [83][950/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 1.4627 (1.6253)	Prec@1 59.500 (56.305)	Prec@5 87.500 (84.672)
Epoch: [83][960/9018]	Time 0.613 (0.617)	Data 0.001 (0.003)	Loss 1.5633 (1.6255)	Prec@1 58.000 (56.288)	Prec@5 85.000 (84.666)
Epoch: [83][970/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 1.6979 (1.6256)	Prec@1 50.000 (56.286)	Prec@5 86.500 (84.661)
Epoch: [83][980/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.8548 (1.6260)	Prec@1 56.500 (56.288)	Prec@5 84.000 (84.659)
Epoch: [83][990/9018]	Time 0.627 (0.617)	Data 0.001 (0.003)	Loss 1.5957 (1.6260)	Prec@1 58.500 (56.290)	Prec@5 85.500 (84.658)
Epoch: [83][1000/9018]	Time 0.592 (0.617)	Data 0.001 (0.003)	Loss 1.6998 (1.6262)	Prec@1 58.000 (56.302)	Prec@5 82.000 (84.645)
Epoch: [83][1010/9018]	Time 0.623 (0.617)	Data 0.001 (0.003)	Loss 1.4836 (1.6262)	Prec@1 54.500 (56.309)	Prec@5 87.000 (84.645)
Epoch: [83][1020/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.4535 (1.6263)	Prec@1 58.000 (56.299)	Prec@5 88.000 (84.643)
Epoch: [83][1030/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 1.5960 (1.6261)	Prec@1 58.500 (56.300)	Prec@5 83.500 (84.642)
Epoch: [83][1040/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 1.6571 (1.6264)	Prec@1 56.000 (56.293)	Prec@5 86.000 (84.647)
Epoch: [83][1050/9018]	Time 0.611 (0.617)	Data 0.001 (0.003)	Loss 1.7849 (1.6266)	Prec@1 47.000 (56.284)	Prec@5 83.000 (84.647)
Epoch: [83][1060/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 1.5957 (1.6262)	Prec@1 59.000 (56.287)	Prec@5 81.000 (84.656)
Epoch: [83][1070/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.3835 (1.6260)	Prec@1 60.500 (56.290)	Prec@5 89.000 (84.666)
Epoch: [83][1080/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.7564 (1.6260)	Prec@1 53.500 (56.295)	Prec@5 82.500 (84.667)
Epoch: [83][1090/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 1.9455 (1.6268)	Prec@1 47.500 (56.276)	Prec@5 81.500 (84.654)
Epoch: [83][1100/9018]	Time 0.624 (0.617)	Data 0.001 (0.003)	Loss 1.5397 (1.6264)	Prec@1 64.000 (56.289)	Prec@5 82.000 (84.657)
Epoch: [83][1110/9018]	Time 0.632 (0.616)	Data 0.001 (0.003)	Loss 1.4534 (1.6269)	Prec@1 62.500 (56.281)	Prec@5 87.000 (84.649)
Epoch: [83][1120/9018]	Time 0.630 (0.616)	Data 0.001 (0.003)	Loss 1.6822 (1.6273)	Prec@1 59.500 (56.280)	Prec@5 85.000 (84.637)
Epoch: [83][1130/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.5876 (1.6270)	Prec@1 53.000 (56.283)	Prec@5 86.500 (84.640)
Epoch: [83][1140/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 1.7354 (1.6272)	Prec@1 57.500 (56.281)	Prec@5 84.500 (84.640)
Epoch: [83][1150/9018]	Time 0.597 (0.616)	Data 0.001 (0.003)	Loss 1.6009 (1.6269)	Prec@1 55.500 (56.288)	Prec@5 87.000 (84.650)
Epoch: [83][1160/9018]	Time 0.745 (0.616)	Data 0.001 (0.003)	Loss 1.6329 (1.6267)	Prec@1 56.500 (56.286)	Prec@5 83.500 (84.653)
Epoch: [83][1170/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.7868 (1.6269)	Prec@1 54.500 (56.288)	Prec@5 80.000 (84.650)
Epoch: [83][1180/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.6483 (1.6272)	Prec@1 60.500 (56.290)	Prec@5 85.500 (84.651)
Epoch: [83][1190/9018]	Time 0.637 (0.616)	Data 0.001 (0.003)	Loss 1.6924 (1.6271)	Prec@1 55.000 (56.284)	Prec@5 85.500 (84.656)
Epoch: [83][1200/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.8157 (1.6273)	Prec@1 51.000 (56.282)	Prec@5 80.500 (84.655)
Epoch: [83][1210/9018]	Time 0.705 (0.616)	Data 0.001 (0.003)	Loss 1.6932 (1.6269)	Prec@1 57.000 (56.287)	Prec@5 82.000 (84.659)
Epoch: [83][1220/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.4096 (1.6269)	Prec@1 62.000 (56.294)	Prec@5 90.000 (84.670)
Epoch: [83][1230/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.5470 (1.6272)	Prec@1 56.500 (56.279)	Prec@5 86.500 (84.662)
Epoch: [83][1240/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 1.5498 (1.6277)	Prec@1 57.000 (56.267)	Prec@5 85.500 (84.658)
Epoch: [83][1250/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 1.7533 (1.6278)	Prec@1 56.000 (56.262)	Prec@5 79.500 (84.662)
Epoch: [83][1260/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.7893 (1.6282)	Prec@1 54.500 (56.261)	Prec@5 81.500 (84.651)
Epoch: [83][1270/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 1.4941 (1.6275)	Prec@1 58.000 (56.282)	Prec@5 85.500 (84.661)
Epoch: [83][1280/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.4196 (1.6273)	Prec@1 60.500 (56.294)	Prec@5 87.000 (84.664)
Epoch: [83][1290/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.5838 (1.6267)	Prec@1 54.500 (56.305)	Prec@5 83.000 (84.663)
Epoch: [83][1300/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.6810 (1.6269)	Prec@1 54.000 (56.307)	Prec@5 85.000 (84.659)
Epoch: [83][1310/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.5921 (1.6269)	Prec@1 56.500 (56.306)	Prec@5 83.500 (84.661)
Epoch: [83][1320/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.5132 (1.6273)	Prec@1 59.500 (56.299)	Prec@5 87.500 (84.660)
Epoch: [83][1330/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.7460 (1.6275)	Prec@1 53.500 (56.285)	Prec@5 83.500 (84.660)
Epoch: [83][1340/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.5776 (1.6276)	Prec@1 57.000 (56.277)	Prec@5 85.000 (84.663)
Epoch: [83][1350/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.6840 (1.6274)	Prec@1 53.000 (56.281)	Prec@5 81.500 (84.662)
Epoch: [83][1360/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 1.6120 (1.6274)	Prec@1 54.000 (56.280)	Prec@5 83.000 (84.655)
Epoch: [83][1370/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.4795 (1.6274)	Prec@1 58.500 (56.285)	Prec@5 89.500 (84.660)
Epoch: [83][1380/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.5690 (1.6271)	Prec@1 54.000 (56.289)	Prec@5 85.500 (84.665)
Epoch: [83][1390/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.8563 (1.6273)	Prec@1 50.500 (56.286)	Prec@5 80.500 (84.668)
Epoch: [83][1400/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.5717 (1.6271)	Prec@1 61.500 (56.288)	Prec@5 84.000 (84.665)
Epoch: [83][1410/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.5383 (1.6275)	Prec@1 59.500 (56.283)	Prec@5 88.000 (84.655)
Epoch: [83][1420/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.7932 (1.6276)	Prec@1 48.000 (56.284)	Prec@5 82.500 (84.653)
Epoch: [83][1430/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 1.5401 (1.6274)	Prec@1 57.000 (56.282)	Prec@5 82.000 (84.656)
Epoch: [83][1440/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 1.7856 (1.6276)	Prec@1 51.000 (56.276)	Prec@5 83.000 (84.657)
Epoch: [83][1450/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.7175 (1.6281)	Prec@1 55.500 (56.273)	Prec@5 82.500 (84.649)
Epoch: [83][1460/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.7802 (1.6278)	Prec@1 48.500 (56.281)	Prec@5 81.000 (84.642)
Epoch: [83][1470/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.5595 (1.6278)	Prec@1 62.500 (56.282)	Prec@5 87.000 (84.640)
Epoch: [83][1480/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.4915 (1.6277)	Prec@1 60.000 (56.280)	Prec@5 88.000 (84.644)
Epoch: [83][1490/9018]	Time 0.719 (0.616)	Data 0.001 (0.002)	Loss 1.5369 (1.6277)	Prec@1 60.500 (56.272)	Prec@5 87.500 (84.643)
Epoch: [83][1500/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.5988 (1.6278)	Prec@1 56.000 (56.267)	Prec@5 84.500 (84.643)
Epoch: [83][1510/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.6329 (1.6276)	Prec@1 58.500 (56.274)	Prec@5 85.500 (84.637)
Epoch: [83][1520/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 1.5760 (1.6275)	Prec@1 56.000 (56.284)	Prec@5 87.000 (84.637)
Epoch: [83][1530/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.6356 (1.6280)	Prec@1 55.500 (56.278)	Prec@5 84.000 (84.630)
Epoch: [83][1540/9018]	Time 0.704 (0.616)	Data 0.001 (0.002)	Loss 1.8099 (1.6279)	Prec@1 49.000 (56.280)	Prec@5 81.000 (84.625)
Epoch: [83][1550/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.6733 (1.6281)	Prec@1 58.000 (56.280)	Prec@5 83.000 (84.620)
Epoch: [83][1560/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.6669 (1.6280)	Prec@1 56.500 (56.289)	Prec@5 84.500 (84.625)
Epoch: [83][1570/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.5267 (1.6281)	Prec@1 58.500 (56.290)	Prec@5 85.500 (84.627)
Epoch: [83][1580/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.6110 (1.6278)	Prec@1 56.500 (56.292)	Prec@5 83.000 (84.630)
Epoch: [83][1590/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.5854 (1.6281)	Prec@1 56.500 (56.287)	Prec@5 87.500 (84.626)
Epoch: [83][1600/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.8255 (1.6282)	Prec@1 52.000 (56.289)	Prec@5 84.500 (84.625)
Epoch: [83][1610/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.6577 (1.6283)	Prec@1 54.500 (56.291)	Prec@5 87.500 (84.628)
Epoch: [83][1620/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.5710 (1.6281)	Prec@1 53.000 (56.286)	Prec@5 82.000 (84.628)
Epoch: [83][1630/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.5062 (1.6283)	Prec@1 58.000 (56.276)	Prec@5 85.000 (84.624)
Epoch: [83][1640/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.6226 (1.6284)	Prec@1 58.000 (56.275)	Prec@5 86.500 (84.626)
Epoch: [83][1650/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 1.6819 (1.6284)	Prec@1 54.000 (56.277)	Prec@5 82.000 (84.629)
Epoch: [83][1660/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.6163 (1.6282)	Prec@1 60.000 (56.284)	Prec@5 84.000 (84.633)
Epoch: [83][1670/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 1.4152 (1.6281)	Prec@1 61.500 (56.284)	Prec@5 89.500 (84.633)
Epoch: [83][1680/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.5441 (1.6279)	Prec@1 57.500 (56.281)	Prec@5 85.000 (84.633)
Epoch: [83][1690/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 1.5803 (1.6276)	Prec@1 57.000 (56.288)	Prec@5 87.000 (84.639)
Epoch: [83][1700/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.6712 (1.6276)	Prec@1 56.500 (56.295)	Prec@5 86.500 (84.635)
Epoch: [83][1710/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 1.8019 (1.6278)	Prec@1 52.000 (56.287)	Prec@5 83.000 (84.634)
Epoch: [83][1720/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.6476 (1.6280)	Prec@1 56.500 (56.278)	Prec@5 84.000 (84.637)
Epoch: [83][1730/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.8434 (1.6281)	Prec@1 55.500 (56.270)	Prec@5 78.500 (84.631)
Epoch: [83][1740/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8548 (1.6284)	Prec@1 45.500 (56.255)	Prec@5 83.000 (84.627)
Epoch: [83][1750/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 1.5084 (1.6282)	Prec@1 61.000 (56.262)	Prec@5 88.000 (84.629)
Epoch: [83][1760/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 1.8182 (1.6286)	Prec@1 47.500 (56.258)	Prec@5 85.500 (84.622)
Epoch: [83][1770/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 1.6959 (1.6286)	Prec@1 59.000 (56.262)	Prec@5 84.000 (84.622)
Epoch: [83][1780/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.5795 (1.6285)	Prec@1 58.000 (56.267)	Prec@5 84.500 (84.623)
Epoch: [83][1790/9018]	Time 0.587 (0.616)	Data 0.001 (0.002)	Loss 1.4583 (1.6281)	Prec@1 61.000 (56.280)	Prec@5 87.500 (84.628)
Epoch: [83][1800/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.7710 (1.6281)	Prec@1 52.500 (56.278)	Prec@5 82.000 (84.631)
Epoch: [83][1810/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 1.6627 (1.6280)	Prec@1 55.500 (56.278)	Prec@5 86.000 (84.639)
Epoch: [83][1820/9018]	Time 0.753 (0.616)	Data 0.001 (0.002)	Loss 1.6697 (1.6281)	Prec@1 53.000 (56.275)	Prec@5 83.500 (84.639)
Epoch: [83][1830/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 1.6171 (1.6280)	Prec@1 55.500 (56.274)	Prec@5 84.000 (84.640)
Epoch: [83][1840/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.4558 (1.6282)	Prec@1 62.500 (56.272)	Prec@5 86.500 (84.639)
Epoch: [83][1850/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.4750 (1.6286)	Prec@1 58.500 (56.259)	Prec@5 86.500 (84.633)
Epoch: [83][1860/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.6968 (1.6289)	Prec@1 52.000 (56.251)	Prec@5 81.000 (84.628)
Epoch: [83][1870/9018]	Time 0.734 (0.616)	Data 0.001 (0.002)	Loss 1.4773 (1.6288)	Prec@1 61.500 (56.253)	Prec@5 88.000 (84.624)
Epoch: [83][1880/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.4434 (1.6289)	Prec@1 57.500 (56.246)	Prec@5 86.500 (84.622)
Epoch: [83][1890/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.4783 (1.6287)	Prec@1 61.500 (56.253)	Prec@5 85.000 (84.620)
Epoch: [83][1900/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.6035 (1.6288)	Prec@1 55.500 (56.248)	Prec@5 86.500 (84.620)
Epoch: [83][1910/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.6568 (1.6289)	Prec@1 52.500 (56.245)	Prec@5 86.000 (84.618)
Epoch: [83][1920/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 1.5862 (1.6285)	Prec@1 52.500 (56.245)	Prec@5 85.500 (84.624)
Epoch: [83][1930/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.5922 (1.6288)	Prec@1 60.000 (56.238)	Prec@5 86.500 (84.619)
Epoch: [83][1940/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.3546 (1.6287)	Prec@1 59.000 (56.246)	Prec@5 88.000 (84.617)
Epoch: [83][1950/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 1.6162 (1.6288)	Prec@1 53.000 (56.242)	Prec@5 85.000 (84.611)
Epoch: [83][1960/9018]	Time 0.612 (0.616)	Data 0.001 (0.002)	Loss 1.5701 (1.6288)	Prec@1 54.000 (56.240)	Prec@5 87.500 (84.613)
Epoch: [83][1970/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 1.6275 (1.6291)	Prec@1 56.500 (56.227)	Prec@5 86.500 (84.611)
Epoch: [83][1980/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.5801 (1.6292)	Prec@1 57.500 (56.218)	Prec@5 87.000 (84.609)
Epoch: [83][1990/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.7209 (1.6292)	Prec@1 55.000 (56.220)	Prec@5 80.000 (84.608)
Epoch: [83][2000/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 1.6516 (1.6289)	Prec@1 52.500 (56.222)	Prec@5 82.500 (84.610)
Epoch: [83][2010/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.5818 (1.6288)	Prec@1 58.000 (56.229)	Prec@5 86.000 (84.615)
Epoch: [83][2020/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 1.7141 (1.6288)	Prec@1 51.500 (56.232)	Prec@5 81.000 (84.612)
Epoch: [83][2030/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 1.4790 (1.6286)	Prec@1 54.500 (56.229)	Prec@5 90.000 (84.616)
Epoch: [83][2040/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.6354 (1.6285)	Prec@1 55.500 (56.230)	Prec@5 84.000 (84.618)
Epoch: [83][2050/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 1.7210 (1.6289)	Prec@1 53.000 (56.223)	Prec@5 82.000 (84.611)
Epoch: [83][2060/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 1.7741 (1.6290)	Prec@1 52.000 (56.215)	Prec@5 83.000 (84.612)
Epoch: [83][2070/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.6259 (1.6289)	Prec@1 53.500 (56.211)	Prec@5 87.000 (84.617)
Epoch: [83][2080/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.5597 (1.6287)	Prec@1 57.500 (56.219)	Prec@5 89.000 (84.624)
Epoch: [83][2090/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.8079 (1.6291)	Prec@1 49.500 (56.211)	Prec@5 81.500 (84.614)
Epoch: [83][2100/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 1.5794 (1.6291)	Prec@1 60.000 (56.212)	Prec@5 85.000 (84.609)
Epoch: [83][2110/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.6716 (1.6294)	Prec@1 57.500 (56.203)	Prec@5 83.000 (84.606)
Epoch: [83][2120/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 1.7276 (1.6295)	Prec@1 52.000 (56.200)	Prec@5 83.500 (84.603)
Epoch: [83][2130/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.7086 (1.6297)	Prec@1 52.500 (56.183)	Prec@5 84.000 (84.601)
Epoch: [83][2140/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.3476 (1.6295)	Prec@1 61.500 (56.184)	Prec@5 88.000 (84.603)
Epoch: [83][2150/9018]	Time 0.735 (0.616)	Data 0.001 (0.002)	Loss 1.5508 (1.6294)	Prec@1 60.000 (56.189)	Prec@5 85.500 (84.604)
Epoch: [83][2160/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.8582 (1.6297)	Prec@1 51.500 (56.180)	Prec@5 75.000 (84.594)
Epoch: [83][2170/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.6923 (1.6300)	Prec@1 54.500 (56.173)	Prec@5 84.500 (84.591)
Epoch: [83][2180/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 1.4177 (1.6300)	Prec@1 63.500 (56.172)	Prec@5 88.000 (84.595)
Epoch: [83][2190/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 1.7191 (1.6304)	Prec@1 54.000 (56.164)	Prec@5 86.500 (84.586)
Epoch: [83][2200/9018]	Time 0.735 (0.615)	Data 0.001 (0.002)	Loss 1.5400 (1.6306)	Prec@1 53.000 (56.163)	Prec@5 87.500 (84.582)
Epoch: [83][2210/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.5789 (1.6307)	Prec@1 59.000 (56.166)	Prec@5 85.500 (84.577)
Epoch: [83][2220/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 1.5231 (1.6308)	Prec@1 56.500 (56.159)	Prec@5 86.000 (84.576)
Epoch: [83][2230/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.5894 (1.6308)	Prec@1 58.000 (56.156)	Prec@5 83.500 (84.571)
Epoch: [83][2240/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 1.5898 (1.6309)	Prec@1 55.500 (56.151)	Prec@5 81.500 (84.565)
Epoch: [83][2250/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.6959 (1.6312)	Prec@1 57.000 (56.153)	Prec@5 85.000 (84.561)
Epoch: [83][2260/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 1.6959 (1.6315)	Prec@1 55.500 (56.148)	Prec@5 82.000 (84.557)
Epoch: [83][2270/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.5076 (1.6317)	Prec@1 58.500 (56.144)	Prec@5 86.500 (84.557)
Epoch: [83][2280/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.7461 (1.6319)	Prec@1 52.000 (56.141)	Prec@5 81.000 (84.554)
Epoch: [83][2290/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.5252 (1.6317)	Prec@1 58.000 (56.139)	Prec@5 85.500 (84.553)
Epoch: [83][2300/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 1.4815 (1.6316)	Prec@1 60.500 (56.144)	Prec@5 84.500 (84.557)
Epoch: [83][2310/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.5933 (1.6316)	Prec@1 58.500 (56.139)	Prec@5 82.500 (84.556)
Epoch: [83][2320/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.4777 (1.6314)	Prec@1 58.000 (56.144)	Prec@5 86.000 (84.559)
Epoch: [83][2330/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 1.7055 (1.6311)	Prec@1 56.000 (56.151)	Prec@5 82.000 (84.561)
Epoch: [83][2340/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.8598 (1.6314)	Prec@1 50.000 (56.145)	Prec@5 78.000 (84.551)
Epoch: [83][2350/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.5003 (1.6312)	Prec@1 57.500 (56.155)	Prec@5 89.500 (84.556)
Epoch: [83][2360/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.7515 (1.6313)	Prec@1 53.500 (56.152)	Prec@5 80.500 (84.555)
Epoch: [83][2370/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.5363 (1.6310)	Prec@1 59.000 (56.159)	Prec@5 85.000 (84.558)
Epoch: [83][2380/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.7541 (1.6313)	Prec@1 58.000 (56.154)	Prec@5 79.500 (84.552)
Epoch: [83][2390/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.8555 (1.6317)	Prec@1 50.000 (56.142)	Prec@5 81.000 (84.545)
Epoch: [83][2400/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.5962 (1.6315)	Prec@1 58.500 (56.144)	Prec@5 84.000 (84.550)
Epoch: [83][2410/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 1.7058 (1.6314)	Prec@1 52.500 (56.138)	Prec@5 82.000 (84.554)
Epoch: [83][2420/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.6124 (1.6314)	Prec@1 56.000 (56.136)	Prec@5 83.000 (84.550)
Epoch: [83][2430/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.6981 (1.6314)	Prec@1 54.500 (56.139)	Prec@5 82.000 (84.549)
Epoch: [83][2440/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.6555 (1.6311)	Prec@1 54.000 (56.145)	Prec@5 85.500 (84.552)
Epoch: [83][2450/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.7994 (1.6310)	Prec@1 54.000 (56.145)	Prec@5 81.000 (84.554)
Epoch: [83][2460/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 1.6728 (1.6309)	Prec@1 53.500 (56.146)	Prec@5 86.000 (84.562)
Epoch: [83][2470/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.5633 (1.6309)	Prec@1 58.500 (56.147)	Prec@5 83.500 (84.561)
Epoch: [83][2480/9018]	Time 0.743 (0.615)	Data 0.001 (0.002)	Loss 1.6378 (1.6311)	Prec@1 57.000 (56.144)	Prec@5 86.500 (84.557)
Epoch: [83][2490/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 1.4950 (1.6312)	Prec@1 56.500 (56.140)	Prec@5 86.000 (84.551)
Epoch: [83][2500/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 1.6066 (1.6310)	Prec@1 56.500 (56.144)	Prec@5 85.000 (84.554)
Epoch: [83][2510/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.7321 (1.6311)	Prec@1 54.500 (56.140)	Prec@5 82.000 (84.554)
Epoch: [83][2520/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.6402 (1.6312)	Prec@1 60.500 (56.136)	Prec@5 84.500 (84.553)
Epoch: [83][2530/9018]	Time 0.739 (0.615)	Data 0.001 (0.002)	Loss 1.8295 (1.6312)	Prec@1 53.000 (56.137)	Prec@5 82.000 (84.555)
Epoch: [83][2540/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.6997 (1.6314)	Prec@1 56.000 (56.132)	Prec@5 84.000 (84.552)
Epoch: [83][2550/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.7317 (1.6315)	Prec@1 55.000 (56.128)	Prec@5 82.500 (84.550)
Epoch: [83][2560/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 1.5527 (1.6317)	Prec@1 56.500 (56.122)	Prec@5 86.500 (84.545)
Epoch: [83][2570/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.5986 (1.6315)	Prec@1 54.500 (56.122)	Prec@5 85.000 (84.550)
Epoch: [83][2580/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.6916 (1.6314)	Prec@1 54.000 (56.120)	Prec@5 85.500 (84.553)
Epoch: [83][2590/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.7797 (1.6314)	Prec@1 55.000 (56.119)	Prec@5 79.500 (84.553)
Epoch: [83][2600/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.6171 (1.6314)	Prec@1 54.000 (56.121)	Prec@5 86.500 (84.551)
Epoch: [83][2610/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.6458 (1.6314)	Prec@1 53.500 (56.119)	Prec@5 84.000 (84.552)
Epoch: [83][2620/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.5693 (1.6309)	Prec@1 55.500 (56.130)	Prec@5 85.000 (84.557)
Epoch: [83][2630/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.7408 (1.6310)	Prec@1 49.000 (56.124)	Prec@5 83.000 (84.552)
Epoch: [83][2640/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.6442 (1.6310)	Prec@1 54.500 (56.124)	Prec@5 83.000 (84.552)
Epoch: [83][2650/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.5237 (1.6313)	Prec@1 60.500 (56.115)	Prec@5 87.000 (84.550)
Epoch: [83][2660/9018]	Time 0.641 (0.615)	Data 0.001 (0.002)	Loss 1.7437 (1.6314)	Prec@1 52.500 (56.112)	Prec@5 82.500 (84.548)
Epoch: [83][2670/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.4678 (1.6315)	Prec@1 61.500 (56.108)	Prec@5 88.500 (84.548)
Epoch: [83][2680/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.5362 (1.6314)	Prec@1 58.500 (56.112)	Prec@5 86.500 (84.554)
Epoch: [83][2690/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.7514 (1.6313)	Prec@1 52.500 (56.114)	Prec@5 82.500 (84.554)
Epoch: [83][2700/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.5212 (1.6311)	Prec@1 54.500 (56.121)	Prec@5 87.000 (84.559)
Epoch: [83][2710/9018]	Time 0.639 (0.615)	Data 0.001 (0.002)	Loss 1.4330 (1.6309)	Prec@1 56.000 (56.120)	Prec@5 90.500 (84.562)
Epoch: [83][2720/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 1.6422 (1.6310)	Prec@1 55.000 (56.118)	Prec@5 85.000 (84.560)
Epoch: [83][2730/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.6804 (1.6308)	Prec@1 54.000 (56.121)	Prec@5 82.500 (84.563)
Epoch: [83][2740/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.6822 (1.6310)	Prec@1 57.000 (56.121)	Prec@5 83.500 (84.562)
Epoch: [83][2750/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 1.5897 (1.6309)	Prec@1 55.000 (56.124)	Prec@5 86.500 (84.563)
Epoch: [83][2760/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.6199 (1.6308)	Prec@1 52.000 (56.127)	Prec@5 87.500 (84.566)
Epoch: [83][2770/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.8470 (1.6308)	Prec@1 52.500 (56.131)	Prec@5 79.000 (84.564)
Epoch: [83][2780/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.7747 (1.6310)	Prec@1 54.000 (56.126)	Prec@5 82.500 (84.565)
Epoch: [83][2790/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.8881 (1.6310)	Prec@1 53.500 (56.121)	Prec@5 80.000 (84.563)
Epoch: [83][2800/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.5939 (1.6310)	Prec@1 58.500 (56.127)	Prec@5 82.000 (84.562)
Epoch: [83][2810/9018]	Time 0.766 (0.615)	Data 0.001 (0.002)	Loss 1.5729 (1.6311)	Prec@1 57.500 (56.123)	Prec@5 84.500 (84.557)
Epoch: [83][2820/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.5301 (1.6309)	Prec@1 58.000 (56.128)	Prec@5 86.000 (84.557)
Epoch: [83][2830/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.4942 (1.6308)	Prec@1 57.500 (56.130)	Prec@5 84.500 (84.557)
Epoch: [83][2840/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.5241 (1.6307)	Prec@1 58.500 (56.133)	Prec@5 84.500 (84.554)
Epoch: [83][2850/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.5798 (1.6306)	Prec@1 59.000 (56.141)	Prec@5 85.500 (84.555)
Epoch: [83][2860/9018]	Time 0.726 (0.615)	Data 0.001 (0.002)	Loss 1.6303 (1.6307)	Prec@1 52.000 (56.139)	Prec@5 86.500 (84.553)
Epoch: [83][2870/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.6533 (1.6308)	Prec@1 50.500 (56.136)	Prec@5 84.500 (84.554)
Epoch: [83][2880/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.5994 (1.6309)	Prec@1 58.000 (56.129)	Prec@5 84.500 (84.553)
Epoch: [83][2890/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 1.7072 (1.6311)	Prec@1 52.000 (56.126)	Prec@5 85.500 (84.553)
Epoch: [83][2900/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 1.7285 (1.6313)	Prec@1 55.500 (56.121)	Prec@5 83.500 (84.549)
Epoch: [83][2910/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.7148 (1.6315)	Prec@1 55.500 (56.115)	Prec@5 81.000 (84.543)
Epoch: [83][2920/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.5989 (1.6314)	Prec@1 54.500 (56.118)	Prec@5 87.500 (84.545)
Epoch: [83][2930/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.5248 (1.6314)	Prec@1 63.000 (56.122)	Prec@5 85.000 (84.544)
Epoch: [83][2940/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.8299 (1.6314)	Prec@1 54.500 (56.122)	Prec@5 82.000 (84.541)
Epoch: [83][2950/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6874 (1.6313)	Prec@1 54.000 (56.124)	Prec@5 83.500 (84.542)
Epoch: [83][2960/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7522 (1.6313)	Prec@1 53.500 (56.125)	Prec@5 81.500 (84.542)
Epoch: [83][2970/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.7696 (1.6313)	Prec@1 56.000 (56.129)	Prec@5 85.000 (84.544)
Epoch: [83][2980/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.7457 (1.6315)	Prec@1 55.000 (56.124)	Prec@5 85.000 (84.539)
Epoch: [83][2990/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.7882 (1.6317)	Prec@1 53.000 (56.121)	Prec@5 83.000 (84.536)
Epoch: [83][3000/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.7072 (1.6316)	Prec@1 53.500 (56.122)	Prec@5 85.000 (84.533)
Epoch: [83][3010/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8002 (1.6317)	Prec@1 50.500 (56.125)	Prec@5 81.500 (84.532)
Epoch: [83][3020/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.4690 (1.6316)	Prec@1 59.000 (56.120)	Prec@5 85.000 (84.532)
Epoch: [83][3030/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.5060 (1.6317)	Prec@1 57.000 (56.121)	Prec@5 86.500 (84.530)
Epoch: [83][3040/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7839 (1.6318)	Prec@1 54.500 (56.120)	Prec@5 83.000 (84.525)
Epoch: [83][3050/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.4616 (1.6320)	Prec@1 57.000 (56.117)	Prec@5 87.500 (84.524)
Epoch: [83][3060/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.5309 (1.6318)	Prec@1 57.000 (56.121)	Prec@5 83.500 (84.527)
Epoch: [83][3070/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.4718 (1.6317)	Prec@1 60.000 (56.125)	Prec@5 86.500 (84.531)
Epoch: [83][3080/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8045 (1.6316)	Prec@1 53.000 (56.124)	Prec@5 83.000 (84.536)
Epoch: [83][3090/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.8059 (1.6319)	Prec@1 51.500 (56.116)	Prec@5 83.500 (84.532)
Epoch: [83][3100/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.7570 (1.6319)	Prec@1 48.500 (56.113)	Prec@5 82.500 (84.531)
Epoch: [83][3110/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.3489 (1.6318)	Prec@1 59.500 (56.115)	Prec@5 89.000 (84.530)
Epoch: [83][3120/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.8001 (1.6319)	Prec@1 53.000 (56.112)	Prec@5 80.000 (84.528)
Epoch: [83][3130/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.4537 (1.6318)	Prec@1 65.500 (56.116)	Prec@5 86.000 (84.528)
Epoch: [83][3140/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 1.9357 (1.6318)	Prec@1 47.500 (56.117)	Prec@5 76.500 (84.527)
Epoch: [83][3150/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6861 (1.6318)	Prec@1 56.500 (56.116)	Prec@5 82.500 (84.525)
Epoch: [83][3160/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6676 (1.6319)	Prec@1 54.000 (56.112)	Prec@5 83.500 (84.523)
Epoch: [83][3170/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6302 (1.6320)	Prec@1 55.500 (56.110)	Prec@5 83.000 (84.518)
Epoch: [83][3180/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6633 (1.6321)	Prec@1 57.000 (56.106)	Prec@5 83.000 (84.517)
Epoch: [83][3190/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 1.5044 (1.6319)	Prec@1 57.500 (56.111)	Prec@5 88.000 (84.520)
Epoch: [83][3200/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 1.5745 (1.6316)	Prec@1 57.500 (56.117)	Prec@5 87.000 (84.524)
Epoch: [83][3210/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.3862 (1.6315)	Prec@1 62.500 (56.124)	Prec@5 89.000 (84.526)
Epoch: [83][3220/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.6630 (1.6317)	Prec@1 55.500 (56.115)	Prec@5 83.500 (84.524)
Epoch: [83][3230/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.6526 (1.6317)	Prec@1 53.500 (56.114)	Prec@5 87.500 (84.526)
Epoch: [83][3240/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.7816 (1.6318)	Prec@1 51.500 (56.106)	Prec@5 81.500 (84.523)
Epoch: [83][3250/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.6609 (1.6320)	Prec@1 53.500 (56.101)	Prec@5 84.000 (84.521)
Epoch: [83][3260/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.7484 (1.6319)	Prec@1 54.500 (56.101)	Prec@5 84.000 (84.522)
Epoch: [83][3270/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.5597 (1.6319)	Prec@1 57.500 (56.104)	Prec@5 85.000 (84.520)
Epoch: [83][3280/9018]	Time 0.618 (0.614)	Data 0.001 (0.001)	Loss 1.3841 (1.6317)	Prec@1 61.500 (56.107)	Prec@5 88.500 (84.524)
Epoch: [83][3290/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.6393 (1.6319)	Prec@1 55.500 (56.101)	Prec@5 84.000 (84.521)
Epoch: [83][3300/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.4440 (1.6320)	Prec@1 60.000 (56.097)	Prec@5 89.000 (84.520)
Epoch: [83][3310/9018]	Time 0.613 (0.614)	Data 0.001 (0.001)	Loss 1.8525 (1.6320)	Prec@1 49.000 (56.096)	Prec@5 80.500 (84.523)
Epoch: [83][3320/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 1.6352 (1.6320)	Prec@1 50.000 (56.096)	Prec@5 85.000 (84.521)
Epoch: [83][3330/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.6792 (1.6322)	Prec@1 56.500 (56.094)	Prec@5 83.500 (84.520)
Epoch: [83][3340/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.6493 (1.6322)	Prec@1 53.500 (56.092)	Prec@5 82.000 (84.518)
Epoch: [83][3350/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.6491 (1.6320)	Prec@1 54.500 (56.097)	Prec@5 87.000 (84.521)
Epoch: [83][3360/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 1.7787 (1.6321)	Prec@1 51.000 (56.092)	Prec@5 80.500 (84.519)
Epoch: [83][3370/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 1.7384 (1.6323)	Prec@1 52.500 (56.090)	Prec@5 83.500 (84.519)
Epoch: [83][3380/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.4014 (1.6322)	Prec@1 68.500 (56.095)	Prec@5 84.500 (84.518)
Epoch: [83][3390/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.5870 (1.6321)	Prec@1 59.000 (56.097)	Prec@5 86.500 (84.521)
Epoch: [83][3400/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.6203 (1.6322)	Prec@1 57.000 (56.096)	Prec@5 83.000 (84.520)
Epoch: [83][3410/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.5287 (1.6324)	Prec@1 57.500 (56.089)	Prec@5 85.500 (84.518)
Epoch: [83][3420/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.5011 (1.6324)	Prec@1 61.000 (56.091)	Prec@5 85.000 (84.518)
Epoch: [83][3430/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 1.5691 (1.6324)	Prec@1 55.000 (56.090)	Prec@5 86.000 (84.517)
Epoch: [83][3440/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.7967 (1.6327)	Prec@1 50.000 (56.083)	Prec@5 81.500 (84.512)
Epoch: [83][3450/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.6482 (1.6329)	Prec@1 55.500 (56.076)	Prec@5 85.000 (84.510)
Epoch: [83][3460/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.6142 (1.6330)	Prec@1 55.000 (56.071)	Prec@5 83.500 (84.508)
Epoch: [83][3470/9018]	Time 0.743 (0.614)	Data 0.001 (0.001)	Loss 1.6429 (1.6332)	Prec@1 54.000 (56.067)	Prec@5 86.000 (84.505)
Epoch: [83][3480/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.5303 (1.6331)	Prec@1 57.500 (56.065)	Prec@5 86.500 (84.508)
Epoch: [83][3490/9018]	Time 0.589 (0.614)	Data 0.001 (0.001)	Loss 1.7627 (1.6332)	Prec@1 53.000 (56.062)	Prec@5 86.000 (84.509)
Epoch: [83][3500/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.4422 (1.6333)	Prec@1 61.500 (56.061)	Prec@5 87.500 (84.508)
Epoch: [83][3510/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 1.5258 (1.6334)	Prec@1 64.000 (56.058)	Prec@5 84.000 (84.505)
Epoch: [83][3520/9018]	Time 0.732 (0.614)	Data 0.001 (0.001)	Loss 1.5124 (1.6333)	Prec@1 60.000 (56.061)	Prec@5 86.500 (84.506)
Epoch: [83][3530/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 1.8830 (1.6334)	Prec@1 49.500 (56.059)	Prec@5 81.000 (84.505)
Epoch: [83][3540/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.7453 (1.6335)	Prec@1 56.000 (56.056)	Prec@5 80.000 (84.502)
Epoch: [83][3550/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 1.8734 (1.6335)	Prec@1 47.000 (56.056)	Prec@5 80.000 (84.501)
Epoch: [83][3560/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.6094 (1.6334)	Prec@1 52.500 (56.055)	Prec@5 87.500 (84.503)
Epoch: [83][3570/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.4228 (1.6334)	Prec@1 62.000 (56.054)	Prec@5 86.500 (84.504)
Epoch: [83][3580/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.7860 (1.6334)	Prec@1 54.500 (56.055)	Prec@5 83.000 (84.502)
Epoch: [83][3590/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.6628 (1.6334)	Prec@1 53.500 (56.054)	Prec@5 87.000 (84.501)
Epoch: [83][3600/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.5576 (1.6336)	Prec@1 55.500 (56.049)	Prec@5 84.500 (84.499)
Epoch: [83][3610/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.5775 (1.6336)	Prec@1 56.000 (56.046)	Prec@5 86.500 (84.498)
Epoch: [83][3620/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.6355 (1.6337)	Prec@1 57.500 (56.044)	Prec@5 85.500 (84.496)
Epoch: [83][3630/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.6741 (1.6336)	Prec@1 56.000 (56.047)	Prec@5 86.000 (84.500)
Epoch: [83][3640/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.4516 (1.6337)	Prec@1 58.000 (56.044)	Prec@5 87.500 (84.498)
Epoch: [83][3650/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.6226 (1.6335)	Prec@1 55.500 (56.048)	Prec@5 85.500 (84.501)
Epoch: [83][3660/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 1.6617 (1.6335)	Prec@1 52.500 (56.047)	Prec@5 84.500 (84.502)
Epoch: [83][3670/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.6045 (1.6335)	Prec@1 57.500 (56.045)	Prec@5 83.500 (84.502)
Epoch: [83][3680/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 1.3726 (1.6334)	Prec@1 63.500 (56.050)	Prec@5 88.000 (84.505)
Epoch: [83][3690/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.5061 (1.6333)	Prec@1 57.500 (56.050)	Prec@5 87.000 (84.505)
Epoch: [83][3700/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.6786 (1.6333)	Prec@1 54.000 (56.048)	Prec@5 83.500 (84.506)
Epoch: [83][3710/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.6624 (1.6332)	Prec@1 55.000 (56.053)	Prec@5 83.000 (84.510)
Epoch: [83][3720/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 1.6491 (1.6332)	Prec@1 56.500 (56.052)	Prec@5 84.000 (84.508)
Epoch: [83][3730/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 1.4296 (1.6331)	Prec@1 60.000 (56.052)	Prec@5 87.000 (84.510)
Epoch: [83][3740/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.7745 (1.6332)	Prec@1 53.000 (56.051)	Prec@5 80.500 (84.507)
Epoch: [83][3750/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.5903 (1.6331)	Prec@1 54.000 (56.053)	Prec@5 85.500 (84.509)
Epoch: [83][3760/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.6905 (1.6330)	Prec@1 55.500 (56.054)	Prec@5 84.500 (84.511)
Epoch: [83][3770/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.7396 (1.6333)	Prec@1 57.000 (56.051)	Prec@5 83.500 (84.506)
Epoch: [83][3780/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.6650 (1.6335)	Prec@1 53.500 (56.049)	Prec@5 83.500 (84.502)
Epoch: [83][3790/9018]	Time 0.590 (0.614)	Data 0.001 (0.001)	Loss 1.5409 (1.6334)	Prec@1 56.000 (56.053)	Prec@5 87.000 (84.506)
Epoch: [83][3800/9018]	Time 0.735 (0.614)	Data 0.001 (0.001)	Loss 1.5461 (1.6334)	Prec@1 58.000 (56.051)	Prec@5 83.500 (84.504)
Epoch: [83][3810/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.8868 (1.6334)	Prec@1 53.500 (56.052)	Prec@5 77.500 (84.501)
Epoch: [83][3820/9018]	Time 0.590 (0.613)	Data 0.001 (0.001)	Loss 1.7384 (1.6335)	Prec@1 54.000 (56.051)	Prec@5 80.500 (84.496)
Epoch: [83][3830/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.5081 (1.6335)	Prec@1 58.000 (56.050)	Prec@5 87.000 (84.497)
Epoch: [83][3840/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 1.5997 (1.6337)	Prec@1 56.000 (56.044)	Prec@5 86.000 (84.492)
Epoch: [83][3850/9018]	Time 0.710 (0.613)	Data 0.001 (0.001)	Loss 1.3993 (1.6336)	Prec@1 64.000 (56.045)	Prec@5 90.000 (84.493)
Epoch: [83][3860/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.6744 (1.6337)	Prec@1 57.000 (56.044)	Prec@5 84.000 (84.492)
Epoch: [83][3870/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.5464 (1.6335)	Prec@1 55.000 (56.045)	Prec@5 87.000 (84.495)
Epoch: [83][3880/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.8853 (1.6337)	Prec@1 52.500 (56.044)	Prec@5 79.500 (84.491)
Epoch: [83][3890/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.7986 (1.6338)	Prec@1 51.500 (56.043)	Prec@5 81.500 (84.489)
Epoch: [83][3900/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.7795 (1.6339)	Prec@1 53.500 (56.041)	Prec@5 84.500 (84.487)
Epoch: [83][3910/9018]	Time 0.610 (0.613)	Data 0.001 (0.001)	Loss 1.6865 (1.6340)	Prec@1 57.500 (56.035)	Prec@5 83.500 (84.486)
Epoch: [83][3920/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.7360 (1.6340)	Prec@1 53.500 (56.035)	Prec@5 81.000 (84.485)
Epoch: [83][3930/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.4688 (1.6341)	Prec@1 57.500 (56.035)	Prec@5 88.500 (84.481)
Epoch: [83][3940/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.6846 (1.6342)	Prec@1 56.500 (56.033)	Prec@5 82.500 (84.478)
Epoch: [83][3950/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.5083 (1.6341)	Prec@1 61.000 (56.036)	Prec@5 83.500 (84.479)
Epoch: [83][3960/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.6032 (1.6342)	Prec@1 60.500 (56.033)	Prec@5 84.000 (84.479)
Epoch: [83][3970/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.6647 (1.6343)	Prec@1 56.000 (56.032)	Prec@5 83.000 (84.478)
Epoch: [83][3980/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.5697 (1.6344)	Prec@1 57.500 (56.030)	Prec@5 86.500 (84.477)
Epoch: [83][3990/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.6707 (1.6344)	Prec@1 60.000 (56.031)	Prec@5 83.000 (84.475)
Epoch: [83][4000/9018]	Time 0.590 (0.613)	Data 0.001 (0.001)	Loss 1.8788 (1.6345)	Prec@1 54.000 (56.031)	Prec@5 81.500 (84.476)
Epoch: [83][4010/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.7053 (1.6344)	Prec@1 54.500 (56.034)	Prec@5 82.500 (84.475)
Epoch: [83][4020/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.5602 (1.6343)	Prec@1 62.000 (56.040)	Prec@5 82.500 (84.478)
Epoch: [83][4030/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.6720 (1.6343)	Prec@1 56.000 (56.041)	Prec@5 81.500 (84.480)
Epoch: [83][4040/9018]	Time 0.634 (0.613)	Data 0.001 (0.001)	Loss 1.5745 (1.6342)	Prec@1 58.000 (56.041)	Prec@5 84.500 (84.481)
Epoch: [83][4050/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.5781 (1.6342)	Prec@1 55.500 (56.042)	Prec@5 87.500 (84.480)
Epoch: [83][4060/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.7096 (1.6343)	Prec@1 54.000 (56.041)	Prec@5 81.500 (84.479)
Epoch: [83][4070/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.6226 (1.6343)	Prec@1 54.000 (56.041)	Prec@5 82.500 (84.482)
Epoch: [83][4080/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.7942 (1.6343)	Prec@1 56.000 (56.039)	Prec@5 84.000 (84.481)
Epoch: [83][4090/9018]	Time 0.589 (0.613)	Data 0.001 (0.001)	Loss 1.7050 (1.6344)	Prec@1 51.000 (56.038)	Prec@5 83.500 (84.479)
Epoch: [83][4100/9018]	Time 0.628 (0.613)	Data 0.001 (0.001)	Loss 1.9231 (1.6344)	Prec@1 47.000 (56.039)	Prec@5 81.500 (84.480)
Epoch: [83][4110/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.7062 (1.6344)	Prec@1 53.000 (56.036)	Prec@5 85.500 (84.479)
Epoch: [83][4120/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 1.4841 (1.6345)	Prec@1 55.500 (56.033)	Prec@5 87.000 (84.474)
Epoch: [83][4130/9018]	Time 0.698 (0.613)	Data 0.001 (0.001)	Loss 1.5932 (1.6346)	Prec@1 58.500 (56.035)	Prec@5 83.500 (84.474)
Epoch: [83][4140/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 1.8723 (1.6347)	Prec@1 49.000 (56.032)	Prec@5 81.500 (84.472)
Epoch: [83][4150/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.6492 (1.6346)	Prec@1 59.000 (56.033)	Prec@5 85.000 (84.475)
Epoch: [83][4160/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.5454 (1.6347)	Prec@1 56.000 (56.030)	Prec@5 87.500 (84.478)
Epoch: [83][4170/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6355 (1.6347)	Prec@1 60.000 (56.028)	Prec@5 83.500 (84.479)
Epoch: [83][4180/9018]	Time 0.734 (0.613)	Data 0.001 (0.001)	Loss 1.8311 (1.6348)	Prec@1 55.000 (56.027)	Prec@5 76.500 (84.478)
Epoch: [83][4190/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.5744 (1.6349)	Prec@1 57.000 (56.027)	Prec@5 86.000 (84.476)
Epoch: [83][4200/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.3244 (1.6348)	Prec@1 60.500 (56.028)	Prec@5 90.500 (84.478)
Epoch: [83][4210/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.8312 (1.6349)	Prec@1 55.500 (56.027)	Prec@5 82.500 (84.477)
Epoch: [83][4220/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.6496 (1.6351)	Prec@1 57.500 (56.022)	Prec@5 86.500 (84.474)
Epoch: [83][4230/9018]	Time 0.627 (0.613)	Data 0.001 (0.001)	Loss 1.7375 (1.6352)	Prec@1 51.000 (56.018)	Prec@5 84.500 (84.473)
Epoch: [83][4240/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.4856 (1.6352)	Prec@1 60.500 (56.016)	Prec@5 86.500 (84.475)
Epoch: [83][4250/9018]	Time 0.620 (0.613)	Data 0.001 (0.001)	Loss 1.6433 (1.6351)	Prec@1 56.500 (56.016)	Prec@5 84.000 (84.477)
Epoch: [83][4260/9018]	Time 0.622 (0.613)	Data 0.001 (0.001)	Loss 1.8919 (1.6351)	Prec@1 50.000 (56.017)	Prec@5 81.500 (84.477)
Epoch: [83][4270/9018]	Time 0.589 (0.613)	Data 0.001 (0.001)	Loss 1.6738 (1.6352)	Prec@1 52.500 (56.015)	Prec@5 81.500 (84.475)
Epoch: [83][4280/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 1.5454 (1.6352)	Prec@1 58.000 (56.017)	Prec@5 84.500 (84.475)
Epoch: [83][4290/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.6454 (1.6352)	Prec@1 54.500 (56.016)	Prec@5 86.000 (84.476)
Epoch: [83][4300/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.5881 (1.6352)	Prec@1 60.000 (56.018)	Prec@5 86.000 (84.475)
Epoch: [83][4310/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.7747 (1.6352)	Prec@1 56.500 (56.021)	Prec@5 82.500 (84.476)
Epoch: [83][4320/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.6944 (1.6354)	Prec@1 54.000 (56.014)	Prec@5 83.500 (84.474)
Epoch: [83][4330/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.5568 (1.6355)	Prec@1 57.000 (56.011)	Prec@5 87.000 (84.471)
Epoch: [83][4340/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.5439 (1.6354)	Prec@1 58.000 (56.015)	Prec@5 86.000 (84.472)
Epoch: [83][4350/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.7698 (1.6354)	Prec@1 53.500 (56.015)	Prec@5 81.500 (84.470)
Epoch: [83][4360/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.6108 (1.6354)	Prec@1 57.500 (56.013)	Prec@5 88.500 (84.468)
Epoch: [83][4370/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6410 (1.6355)	Prec@1 57.000 (56.012)	Prec@5 83.500 (84.466)
Epoch: [83][4380/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6145 (1.6356)	Prec@1 57.500 (56.010)	Prec@5 84.500 (84.464)
Epoch: [83][4390/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.5425 (1.6357)	Prec@1 55.000 (56.006)	Prec@5 86.500 (84.462)
Epoch: [83][4400/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 1.5784 (1.6357)	Prec@1 57.000 (56.004)	Prec@5 88.000 (84.460)
Epoch: [83][4410/9018]	Time 0.610 (0.613)	Data 0.001 (0.001)	Loss 1.6223 (1.6357)	Prec@1 54.500 (56.006)	Prec@5 82.500 (84.461)
Epoch: [83][4420/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.9186 (1.6358)	Prec@1 51.000 (56.004)	Prec@5 83.000 (84.461)
Epoch: [83][4430/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.5670 (1.6357)	Prec@1 58.500 (56.005)	Prec@5 87.000 (84.460)
Epoch: [83][4440/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 1.5359 (1.6357)	Prec@1 60.000 (56.008)	Prec@5 83.000 (84.460)
Epoch: [83][4450/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6728 (1.6356)	Prec@1 56.000 (56.010)	Prec@5 84.500 (84.462)
Epoch: [83][4460/9018]	Time 0.709 (0.613)	Data 0.001 (0.001)	Loss 1.4588 (1.6357)	Prec@1 57.000 (56.008)	Prec@5 87.500 (84.462)
Epoch: [83][4470/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 1.5651 (1.6357)	Prec@1 57.000 (56.008)	Prec@5 87.000 (84.463)
Epoch: [83][4480/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.7902 (1.6358)	Prec@1 52.500 (56.005)	Prec@5 82.000 (84.463)
Epoch: [83][4490/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6681 (1.6357)	Prec@1 56.500 (56.007)	Prec@5 83.000 (84.464)
Epoch: [83][4500/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.5347 (1.6357)	Prec@1 58.000 (56.003)	Prec@5 83.500 (84.464)
Epoch: [83][4510/9018]	Time 0.682 (0.613)	Data 0.001 (0.001)	Loss 2.1028 (1.6358)	Prec@1 50.500 (56.002)	Prec@5 78.000 (84.460)
Epoch: [83][4520/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.7851 (1.6357)	Prec@1 59.000 (56.005)	Prec@5 82.000 (84.461)
Epoch: [83][4530/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 1.5104 (1.6357)	Prec@1 59.500 (56.006)	Prec@5 88.500 (84.463)
Epoch: [83][4540/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.4955 (1.6357)	Prec@1 63.000 (56.008)	Prec@5 86.000 (84.463)
Epoch: [83][4550/9018]	Time 0.630 (0.613)	Data 0.001 (0.001)	Loss 1.6002 (1.6356)	Prec@1 56.500 (56.011)	Prec@5 86.500 (84.464)
Epoch: [83][4560/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.5983 (1.6357)	Prec@1 60.500 (56.011)	Prec@5 83.500 (84.461)
Epoch: [83][4570/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.6816 (1.6358)	Prec@1 54.500 (56.011)	Prec@5 83.000 (84.459)
Epoch: [83][4580/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.5862 (1.6357)	Prec@1 53.500 (56.013)	Prec@5 85.500 (84.459)
Epoch: [83][4590/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.6724 (1.6357)	Prec@1 59.000 (56.011)	Prec@5 82.500 (84.458)
Epoch: [83][4600/9018]	Time 0.614 (0.613)	Data 0.001 (0.001)	Loss 1.4615 (1.6356)	Prec@1 57.000 (56.014)	Prec@5 90.000 (84.462)
Epoch: [83][4610/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 1.5517 (1.6357)	Prec@1 56.500 (56.013)	Prec@5 85.500 (84.458)
Epoch: [83][4620/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.8477 (1.6358)	Prec@1 50.000 (56.009)	Prec@5 80.500 (84.458)
Epoch: [83][4630/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.6858 (1.6357)	Prec@1 53.500 (56.008)	Prec@5 82.500 (84.457)
Epoch: [83][4640/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.6156 (1.6356)	Prec@1 57.500 (56.010)	Prec@5 81.000 (84.458)
Epoch: [83][4650/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.6061 (1.6355)	Prec@1 55.000 (56.013)	Prec@5 85.500 (84.461)
Epoch: [83][4660/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.3062 (1.6354)	Prec@1 60.500 (56.017)	Prec@5 92.000 (84.464)
Epoch: [83][4670/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 1.6883 (1.6353)	Prec@1 51.500 (56.020)	Prec@5 85.000 (84.465)
Epoch: [83][4680/9018]	Time 0.590 (0.613)	Data 0.001 (0.001)	Loss 1.5359 (1.6352)	Prec@1 62.000 (56.024)	Prec@5 86.000 (84.467)
Epoch: [83][4690/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.5333 (1.6353)	Prec@1 60.000 (56.021)	Prec@5 85.500 (84.463)
Epoch: [83][4700/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 1.4916 (1.6353)	Prec@1 61.500 (56.025)	Prec@5 86.500 (84.463)
Epoch: [83][4710/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 1.6560 (1.6353)	Prec@1 52.000 (56.026)	Prec@5 84.000 (84.462)
Epoch: [83][4720/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6015 (1.6352)	Prec@1 53.000 (56.022)	Prec@5 89.000 (84.465)
Epoch: [83][4730/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.6523 (1.6354)	Prec@1 53.000 (56.016)	Prec@5 85.000 (84.462)
Epoch: [83][4740/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 1.6418 (1.6354)	Prec@1 56.500 (56.019)	Prec@5 83.000 (84.464)
Epoch: [83][4750/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.7763 (1.6353)	Prec@1 50.000 (56.019)	Prec@5 83.500 (84.466)
Epoch: [83][4760/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.6768 (1.6354)	Prec@1 59.500 (56.018)	Prec@5 81.500 (84.465)
Epoch: [83][4770/9018]	Time 0.633 (0.613)	Data 0.001 (0.001)	Loss 1.5120 (1.6353)	Prec@1 58.500 (56.021)	Prec@5 87.000 (84.466)
Epoch: [83][4780/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6447 (1.6353)	Prec@1 60.000 (56.020)	Prec@5 82.500 (84.467)
Epoch: [83][4790/9018]	Time 0.691 (0.613)	Data 0.001 (0.001)	Loss 1.4408 (1.6351)	Prec@1 61.500 (56.025)	Prec@5 86.500 (84.470)
Epoch: [83][4800/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 1.6385 (1.6352)	Prec@1 55.500 (56.024)	Prec@5 83.500 (84.468)
Epoch: [83][4810/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.6266 (1.6352)	Prec@1 56.500 (56.023)	Prec@5 85.000 (84.467)
Epoch: [83][4820/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.5616 (1.6352)	Prec@1 60.000 (56.027)	Prec@5 85.000 (84.467)
Epoch: [83][4830/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.7707 (1.6353)	Prec@1 51.500 (56.026)	Prec@5 85.000 (84.468)
Epoch: [83][4840/9018]	Time 0.708 (0.612)	Data 0.001 (0.001)	Loss 1.6697 (1.6353)	Prec@1 57.000 (56.026)	Prec@5 83.500 (84.467)
Epoch: [83][4850/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.6854 (1.6352)	Prec@1 55.500 (56.026)	Prec@5 87.000 (84.470)
Epoch: [83][4860/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.7679 (1.6353)	Prec@1 57.500 (56.023)	Prec@5 81.000 (84.467)
Epoch: [83][4870/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.5506 (1.6353)	Prec@1 57.500 (56.024)	Prec@5 88.500 (84.470)
Epoch: [83][4880/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.6718 (1.6353)	Prec@1 55.500 (56.024)	Prec@5 85.000 (84.469)
Epoch: [83][4890/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 1.4428 (1.6352)	Prec@1 61.000 (56.024)	Prec@5 88.500 (84.470)
Epoch: [83][4900/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 1.8091 (1.6353)	Prec@1 50.500 (56.025)	Prec@5 84.000 (84.469)
Epoch: [83][4910/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 1.6788 (1.6354)	Prec@1 57.000 (56.024)	Prec@5 84.500 (84.469)
Epoch: [83][4920/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.6433 (1.6354)	Prec@1 56.500 (56.023)	Prec@5 85.000 (84.466)
Epoch: [83][4930/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.6223 (1.6354)	Prec@1 57.000 (56.024)	Prec@5 87.000 (84.467)
Epoch: [83][4940/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.7154 (1.6355)	Prec@1 53.000 (56.022)	Prec@5 81.000 (84.465)
Epoch: [83][4950/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.5557 (1.6357)	Prec@1 57.000 (56.018)	Prec@5 87.000 (84.462)
Epoch: [83][4960/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 1.7160 (1.6359)	Prec@1 55.500 (56.014)	Prec@5 81.500 (84.458)
Epoch: [83][4970/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 1.7377 (1.6359)	Prec@1 54.500 (56.014)	Prec@5 85.000 (84.459)
Epoch: [83][4980/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 1.5128 (1.6358)	Prec@1 57.500 (56.017)	Prec@5 85.000 (84.461)
Epoch: [83][4990/9018]	Time 0.590 (0.612)	Data 0.001 (0.001)	Loss 1.8204 (1.6358)	Prec@1 53.000 (56.018)	Prec@5 79.000 (84.461)
Epoch: [83][5000/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.6267 (1.6360)	Prec@1 57.500 (56.012)	Prec@5 84.500 (84.457)
Epoch: [83][5010/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 1.7272 (1.6361)	Prec@1 52.000 (56.009)	Prec@5 86.000 (84.457)
Epoch: [83][5020/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 1.7992 (1.6363)	Prec@1 53.500 (56.005)	Prec@5 81.500 (84.453)
Epoch: [83][5030/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 1.4745 (1.6363)	Prec@1 59.500 (56.003)	Prec@5 86.500 (84.451)
Epoch: [83][5040/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.6317 (1.6363)	Prec@1 53.500 (56.002)	Prec@5 82.000 (84.449)
Epoch: [83][5050/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.4828 (1.6363)	Prec@1 60.500 (56.002)	Prec@5 87.500 (84.449)
Epoch: [83][5060/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 1.5910 (1.6362)	Prec@1 59.500 (56.004)	Prec@5 87.000 (84.450)
Epoch: [83][5070/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.5841 (1.6363)	Prec@1 56.000 (56.000)	Prec@5 86.500 (84.450)
Epoch: [83][5080/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.7868 (1.6364)	Prec@1 51.000 (55.996)	Prec@5 80.000 (84.451)
Epoch: [83][5090/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.4856 (1.6364)	Prec@1 59.000 (55.997)	Prec@5 86.500 (84.449)
Epoch: [83][5100/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 1.5555 (1.6365)	Prec@1 56.000 (55.992)	Prec@5 87.500 (84.450)
Epoch: [83][5110/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.3933 (1.6366)	Prec@1 62.000 (55.993)	Prec@5 88.500 (84.450)
Epoch: [83][5120/9018]	Time 0.692 (0.612)	Data 0.001 (0.001)	Loss 1.7747 (1.6366)	Prec@1 53.500 (55.992)	Prec@5 84.500 (84.450)
Epoch: [83][5130/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 1.5177 (1.6365)	Prec@1 57.000 (55.991)	Prec@5 87.000 (84.452)
Epoch: [83][5140/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.5864 (1.6366)	Prec@1 60.000 (55.991)	Prec@5 86.000 (84.450)
Epoch: [83][5150/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.6930 (1.6367)	Prec@1 52.500 (55.988)	Prec@5 83.000 (84.449)
Epoch: [83][5160/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.7812 (1.6367)	Prec@1 48.000 (55.988)	Prec@5 83.500 (84.449)
Epoch: [83][5170/9018]	Time 0.695 (0.612)	Data 0.001 (0.001)	Loss 1.6591 (1.6369)	Prec@1 51.500 (55.981)	Prec@5 85.000 (84.448)
Epoch: [83][5180/9018]	Time 0.614 (0.612)	Data 0.001 (0.001)	Loss 1.6398 (1.6369)	Prec@1 56.000 (55.982)	Prec@5 85.000 (84.447)
Epoch: [83][5190/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 1.6833 (1.6370)	Prec@1 56.000 (55.979)	Prec@5 82.500 (84.445)
Epoch: [83][5200/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.3854 (1.6370)	Prec@1 63.500 (55.983)	Prec@5 86.500 (84.444)
Epoch: [83][5210/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 1.5527 (1.6371)	Prec@1 57.000 (55.978)	Prec@5 87.500 (84.443)
Epoch: [83][5220/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.7957 (1.6372)	Prec@1 53.000 (55.974)	Prec@5 82.000 (84.443)
Epoch: [83][5230/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.5113 (1.6372)	Prec@1 61.000 (55.973)	Prec@5 85.500 (84.444)
Epoch: [83][5240/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.7631 (1.6373)	Prec@1 50.500 (55.970)	Prec@5 83.500 (84.444)
Epoch: [83][5250/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.6470 (1.6374)	Prec@1 58.500 (55.969)	Prec@5 84.000 (84.443)
Epoch: [83][5260/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 1.7488 (1.6375)	Prec@1 51.500 (55.968)	Prec@5 83.500 (84.442)
Epoch: [83][5270/9018]	Time 0.604 (0.612)	Data 0.001 (0.001)	Loss 1.6028 (1.6374)	Prec@1 56.500 (55.966)	Prec@5 87.000 (84.442)
Epoch: [83][5280/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.4940 (1.6374)	Prec@1 61.500 (55.967)	Prec@5 87.500 (84.443)
Epoch: [83][5290/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.7597 (1.6374)	Prec@1 56.000 (55.967)	Prec@5 81.500 (84.443)
Epoch: [83][5300/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.8363 (1.6374)	Prec@1 52.500 (55.965)	Prec@5 81.000 (84.443)
Epoch: [83][5310/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.6694 (1.6373)	Prec@1 59.000 (55.966)	Prec@5 81.500 (84.444)
Epoch: [83][5320/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.7757 (1.6375)	Prec@1 50.000 (55.962)	Prec@5 85.000 (84.440)
Epoch: [83][5330/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.5774 (1.6374)	Prec@1 51.000 (55.960)	Prec@5 84.500 (84.441)
Epoch: [83][5340/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.6526 (1.6374)	Prec@1 57.500 (55.961)	Prec@5 82.000 (84.442)
Epoch: [83][5350/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.6772 (1.6374)	Prec@1 51.500 (55.959)	Prec@5 82.500 (84.442)
Epoch: [83][5360/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.5485 (1.6374)	Prec@1 58.500 (55.960)	Prec@5 84.500 (84.443)
Epoch: [83][5370/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.5636 (1.6374)	Prec@1 58.500 (55.956)	Prec@5 84.500 (84.442)
Epoch: [83][5380/9018]	Time 0.624 (0.612)	Data 0.001 (0.001)	Loss 1.6623 (1.6376)	Prec@1 55.000 (55.953)	Prec@5 83.500 (84.441)
Epoch: [83][5390/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.6589 (1.6375)	Prec@1 56.000 (55.956)	Prec@5 84.500 (84.443)
Epoch: [83][5400/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.6879 (1.6376)	Prec@1 56.500 (55.954)	Prec@5 83.000 (84.441)
Epoch: [83][5410/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.6648 (1.6375)	Prec@1 56.500 (55.958)	Prec@5 85.500 (84.443)
Epoch: [83][5420/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 1.5534 (1.6375)	Prec@1 58.500 (55.957)	Prec@5 85.500 (84.443)
Epoch: [83][5430/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 1.5809 (1.6375)	Prec@1 58.000 (55.958)	Prec@5 86.500 (84.441)
Epoch: [83][5440/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.6832 (1.6375)	Prec@1 57.500 (55.957)	Prec@5 82.500 (84.441)
Epoch: [83][5450/9018]	Time 0.687 (0.612)	Data 0.001 (0.001)	Loss 1.7156 (1.6375)	Prec@1 54.000 (55.956)	Prec@5 82.500 (84.440)
Epoch: [83][5460/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.4839 (1.6374)	Prec@1 60.000 (55.957)	Prec@5 87.500 (84.443)
Epoch: [83][5470/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.6241 (1.6374)	Prec@1 53.000 (55.952)	Prec@5 82.000 (84.443)
Epoch: [83][5480/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 1.6921 (1.6374)	Prec@1 52.500 (55.954)	Prec@5 84.500 (84.443)
Epoch: [83][5490/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.7564 (1.6373)	Prec@1 57.500 (55.958)	Prec@5 81.500 (84.445)
Epoch: [83][5500/9018]	Time 0.699 (0.612)	Data 0.001 (0.001)	Loss 1.6621 (1.6372)	Prec@1 56.500 (55.959)	Prec@5 85.500 (84.448)
Epoch: [83][5510/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 1.6819 (1.6373)	Prec@1 56.500 (55.958)	Prec@5 83.000 (84.448)
Epoch: [83][5520/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 1.4659 (1.6373)	Prec@1 63.000 (55.959)	Prec@5 87.500 (84.447)
Epoch: [83][5530/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.4762 (1.6373)	Prec@1 59.500 (55.960)	Prec@5 86.500 (84.446)
Epoch: [83][5540/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.7444 (1.6373)	Prec@1 51.500 (55.962)	Prec@5 83.000 (84.445)
Epoch: [83][5550/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 1.5765 (1.6373)	Prec@1 59.500 (55.960)	Prec@5 84.000 (84.444)
Epoch: [83][5560/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.9696 (1.6375)	Prec@1 50.000 (55.956)	Prec@5 77.000 (84.441)
Epoch: [83][5570/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 1.5213 (1.6376)	Prec@1 57.000 (55.955)	Prec@5 87.000 (84.440)
Epoch: [83][5580/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.5991 (1.6376)	Prec@1 58.500 (55.956)	Prec@5 82.500 (84.441)
Epoch: [83][5590/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 1.4664 (1.6375)	Prec@1 60.000 (55.955)	Prec@5 89.000 (84.442)
Epoch: [83][5600/9018]	Time 0.594 (0.612)	Data 0.001 (0.001)	Loss 1.7309 (1.6376)	Prec@1 54.500 (55.954)	Prec@5 87.000 (84.440)
Epoch: [83][5610/9018]	Time 0.605 (0.612)	Data 0.001 (0.001)	Loss 1.6412 (1.6377)	Prec@1 57.500 (55.955)	Prec@5 87.000 (84.441)
Epoch: [83][5620/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.4366 (1.6377)	Prec@1 61.500 (55.957)	Prec@5 88.500 (84.441)
Epoch: [83][5630/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.7966 (1.6378)	Prec@1 51.000 (55.954)	Prec@5 82.000 (84.439)
Epoch: [83][5640/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.5379 (1.6378)	Prec@1 56.000 (55.950)	Prec@5 88.000 (84.440)
Epoch: [83][5650/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.7257 (1.6378)	Prec@1 53.000 (55.951)	Prec@5 84.000 (84.440)
Epoch: [83][5660/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 1.5619 (1.6378)	Prec@1 57.500 (55.949)	Prec@5 85.500 (84.440)
Epoch: [83][5670/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 1.7384 (1.6378)	Prec@1 53.000 (55.949)	Prec@5 83.500 (84.438)
Epoch: [83][5680/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 1.8430 (1.6379)	Prec@1 51.000 (55.950)	Prec@5 79.500 (84.438)
Epoch: [83][5690/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.6588 (1.6378)	Prec@1 56.000 (55.948)	Prec@5 82.500 (84.439)
Epoch: [83][5700/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.5794 (1.6378)	Prec@1 59.500 (55.950)	Prec@5 83.000 (84.437)
Epoch: [83][5710/9018]	Time 0.609 (0.612)	Data 0.001 (0.001)	Loss 1.5880 (1.6378)	Prec@1 59.500 (55.953)	Prec@5 83.000 (84.437)
Epoch: [83][5720/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 1.5384 (1.6378)	Prec@1 55.500 (55.951)	Prec@5 88.000 (84.439)
Epoch: [83][5730/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.8474 (1.6379)	Prec@1 51.000 (55.948)	Prec@5 81.000 (84.437)
Epoch: [83][5740/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.5030 (1.6379)	Prec@1 60.000 (55.949)	Prec@5 87.500 (84.435)
Epoch: [83][5750/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.6523 (1.6380)	Prec@1 51.000 (55.947)	Prec@5 83.000 (84.433)
Epoch: [83][5760/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.4047 (1.6379)	Prec@1 59.000 (55.950)	Prec@5 89.000 (84.434)
Epoch: [83][5770/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.8695 (1.6379)	Prec@1 47.000 (55.946)	Prec@5 82.000 (84.436)
Epoch: [83][5780/9018]	Time 0.699 (0.612)	Data 0.001 (0.001)	Loss 1.6173 (1.6379)	Prec@1 58.500 (55.947)	Prec@5 84.500 (84.435)
Epoch: [83][5790/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 1.3938 (1.6379)	Prec@1 59.000 (55.945)	Prec@5 90.000 (84.436)
Epoch: [83][5800/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.7926 (1.6379)	Prec@1 56.500 (55.947)	Prec@5 77.000 (84.435)
Epoch: [83][5810/9018]	Time 0.597 (0.612)	Data 0.001 (0.001)	Loss 1.5491 (1.6379)	Prec@1 58.500 (55.948)	Prec@5 85.500 (84.435)
Epoch: [83][5820/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.7046 (1.6380)	Prec@1 55.000 (55.946)	Prec@5 83.500 (84.434)
Epoch: [83][5830/9018]	Time 0.711 (0.612)	Data 0.001 (0.001)	Loss 1.5916 (1.6381)	Prec@1 58.500 (55.945)	Prec@5 84.500 (84.432)
Epoch: [83][5840/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.9018 (1.6382)	Prec@1 45.500 (55.944)	Prec@5 81.500 (84.432)
Epoch: [83][5850/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.7777 (1.6381)	Prec@1 54.500 (55.946)	Prec@5 84.500 (84.433)
Epoch: [83][5860/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.7277 (1.6382)	Prec@1 56.500 (55.945)	Prec@5 81.500 (84.433)
Epoch: [83][5870/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.4883 (1.6382)	Prec@1 58.000 (55.943)	Prec@5 88.000 (84.432)
Epoch: [83][5880/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.8322 (1.6382)	Prec@1 49.000 (55.945)	Prec@5 81.000 (84.433)
Epoch: [83][5890/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.5829 (1.6382)	Prec@1 57.500 (55.945)	Prec@5 85.000 (84.435)
Epoch: [83][5900/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.4946 (1.6380)	Prec@1 59.000 (55.945)	Prec@5 85.000 (84.439)
Epoch: [83][5910/9018]	Time 0.610 (0.612)	Data 0.001 (0.001)	Loss 1.6283 (1.6381)	Prec@1 56.000 (55.945)	Prec@5 85.500 (84.439)
Epoch: [83][5920/9018]	Time 0.598 (0.612)	Data 0.001 (0.001)	Loss 1.6164 (1.6381)	Prec@1 57.000 (55.943)	Prec@5 88.000 (84.441)
Epoch: [83][5930/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.5440 (1.6382)	Prec@1 61.000 (55.941)	Prec@5 85.500 (84.439)
Epoch: [83][5940/9018]	Time 0.596 (0.612)	Data 0.001 (0.001)	Loss 1.4850 (1.6381)	Prec@1 61.500 (55.943)	Prec@5 86.000 (84.439)
Epoch: [83][5950/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.3914 (1.6382)	Prec@1 65.500 (55.941)	Prec@5 89.500 (84.437)
Epoch: [83][5960/9018]	Time 0.602 (0.612)	Data 0.001 (0.001)	Loss 1.5100 (1.6382)	Prec@1 53.000 (55.939)	Prec@5 86.000 (84.439)
Epoch: [83][5970/9018]	Time 0.589 (0.611)	Data 0.001 (0.001)	Loss 1.8336 (1.6382)	Prec@1 49.500 (55.940)	Prec@5 81.500 (84.439)
Epoch: [83][5980/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.4817 (1.6382)	Prec@1 60.500 (55.942)	Prec@5 87.500 (84.441)
Epoch: [83][5990/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.6225 (1.6383)	Prec@1 54.000 (55.940)	Prec@5 86.000 (84.441)
Epoch: [83][6000/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.7146 (1.6383)	Prec@1 57.500 (55.938)	Prec@5 85.000 (84.441)
Epoch: [83][6010/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.6426 (1.6383)	Prec@1 58.000 (55.937)	Prec@5 82.500 (84.442)
Epoch: [83][6020/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.7636 (1.6384)	Prec@1 52.000 (55.935)	Prec@5 82.500 (84.441)
Epoch: [83][6030/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.6431 (1.6385)	Prec@1 58.000 (55.935)	Prec@5 83.500 (84.439)
Epoch: [83][6040/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.5400 (1.6384)	Prec@1 59.000 (55.935)	Prec@5 87.000 (84.442)
Epoch: [83][6050/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.6939 (1.6384)	Prec@1 56.500 (55.937)	Prec@5 82.000 (84.441)
Epoch: [83][6060/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.7316 (1.6384)	Prec@1 52.000 (55.935)	Prec@5 84.000 (84.441)
Epoch: [83][6070/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.5740 (1.6384)	Prec@1 59.000 (55.939)	Prec@5 87.000 (84.441)
Epoch: [83][6080/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.7195 (1.6384)	Prec@1 53.500 (55.937)	Prec@5 84.000 (84.442)
Epoch: [83][6090/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.4090 (1.6384)	Prec@1 57.500 (55.935)	Prec@5 87.000 (84.441)
Epoch: [83][6100/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.7649 (1.6383)	Prec@1 52.500 (55.936)	Prec@5 83.500 (84.442)
Epoch: [83][6110/9018]	Time 0.740 (0.611)	Data 0.001 (0.001)	Loss 1.6953 (1.6384)	Prec@1 55.500 (55.936)	Prec@5 81.500 (84.440)
Epoch: [83][6120/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.8865 (1.6384)	Prec@1 53.500 (55.935)	Prec@5 76.500 (84.438)
Epoch: [83][6130/9018]	Time 0.626 (0.611)	Data 0.001 (0.001)	Loss 1.8609 (1.6385)	Prec@1 52.000 (55.932)	Prec@5 77.500 (84.435)
Epoch: [83][6140/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.5901 (1.6385)	Prec@1 53.500 (55.931)	Prec@5 85.500 (84.435)
Epoch: [83][6150/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.5581 (1.6385)	Prec@1 58.000 (55.931)	Prec@5 83.000 (84.434)
Epoch: [83][6160/9018]	Time 0.726 (0.611)	Data 0.001 (0.001)	Loss 1.6258 (1.6385)	Prec@1 55.000 (55.931)	Prec@5 85.000 (84.434)
Epoch: [83][6170/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.6253 (1.6385)	Prec@1 54.000 (55.929)	Prec@5 85.500 (84.435)
Epoch: [83][6180/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.3993 (1.6385)	Prec@1 62.000 (55.928)	Prec@5 90.000 (84.436)
Epoch: [83][6190/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.9182 (1.6384)	Prec@1 55.000 (55.930)	Prec@5 77.000 (84.437)
Epoch: [83][6200/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.4835 (1.6385)	Prec@1 60.000 (55.928)	Prec@5 89.000 (84.436)
Epoch: [83][6210/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.5431 (1.6385)	Prec@1 60.000 (55.929)	Prec@5 86.000 (84.435)
Epoch: [83][6220/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.7719 (1.6385)	Prec@1 47.500 (55.928)	Prec@5 83.000 (84.436)
Epoch: [83][6230/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.4865 (1.6384)	Prec@1 63.000 (55.929)	Prec@5 86.000 (84.435)
Epoch: [83][6240/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 1.6039 (1.6385)	Prec@1 58.500 (55.930)	Prec@5 86.000 (84.435)
Epoch: [83][6250/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.6949 (1.6385)	Prec@1 53.500 (55.929)	Prec@5 84.000 (84.433)
Epoch: [83][6260/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.5344 (1.6385)	Prec@1 60.500 (55.927)	Prec@5 86.000 (84.433)
Epoch: [83][6270/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.5755 (1.6386)	Prec@1 58.500 (55.927)	Prec@5 83.500 (84.431)
Epoch: [83][6280/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.7470 (1.6385)	Prec@1 56.500 (55.929)	Prec@5 79.000 (84.433)
Epoch: [83][6290/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.7789 (1.6385)	Prec@1 52.000 (55.927)	Prec@5 83.000 (84.432)
Epoch: [83][6300/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.6938 (1.6385)	Prec@1 51.500 (55.927)	Prec@5 85.000 (84.432)
Epoch: [83][6310/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.7057 (1.6384)	Prec@1 51.500 (55.929)	Prec@5 85.000 (84.433)
Epoch: [83][6320/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.5825 (1.6384)	Prec@1 53.000 (55.929)	Prec@5 86.000 (84.433)
Epoch: [83][6330/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.6738 (1.6384)	Prec@1 58.000 (55.931)	Prec@5 82.000 (84.432)
Epoch: [83][6340/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.9429 (1.6385)	Prec@1 51.500 (55.930)	Prec@5 78.500 (84.430)
Epoch: [83][6350/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.6155 (1.6385)	Prec@1 56.500 (55.928)	Prec@5 86.000 (84.430)
Epoch: [83][6360/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.6693 (1.6386)	Prec@1 53.000 (55.927)	Prec@5 83.000 (84.428)
Epoch: [83][6370/9018]	Time 0.590 (0.611)	Data 0.001 (0.001)	Loss 1.5959 (1.6386)	Prec@1 61.000 (55.926)	Prec@5 85.500 (84.428)
Epoch: [83][6380/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.5700 (1.6386)	Prec@1 56.500 (55.926)	Prec@5 83.000 (84.428)
Epoch: [83][6390/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.6096 (1.6386)	Prec@1 58.000 (55.926)	Prec@5 82.000 (84.427)
Epoch: [83][6400/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.7375 (1.6387)	Prec@1 52.000 (55.923)	Prec@5 81.500 (84.426)
Epoch: [83][6410/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.7194 (1.6387)	Prec@1 57.000 (55.924)	Prec@5 84.500 (84.426)
Epoch: [83][6420/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.4490 (1.6387)	Prec@1 60.000 (55.925)	Prec@5 87.000 (84.426)
Epoch: [83][6430/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.4963 (1.6386)	Prec@1 60.500 (55.927)	Prec@5 85.500 (84.427)
Epoch: [83][6440/9018]	Time 0.709 (0.611)	Data 0.001 (0.001)	Loss 1.7992 (1.6387)	Prec@1 51.500 (55.927)	Prec@5 80.500 (84.426)
Epoch: [83][6450/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.6458 (1.6387)	Prec@1 57.000 (55.929)	Prec@5 84.000 (84.427)
Epoch: [83][6460/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.5729 (1.6386)	Prec@1 60.500 (55.929)	Prec@5 85.500 (84.427)
Epoch: [83][6470/9018]	Time 0.619 (0.611)	Data 0.001 (0.001)	Loss 1.6970 (1.6386)	Prec@1 54.500 (55.929)	Prec@5 81.500 (84.427)
Epoch: [83][6480/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.6273 (1.6387)	Prec@1 52.500 (55.926)	Prec@5 85.500 (84.426)
Epoch: [83][6490/9018]	Time 0.713 (0.611)	Data 0.001 (0.001)	Loss 1.7003 (1.6387)	Prec@1 51.500 (55.924)	Prec@5 83.500 (84.426)
Epoch: [83][6500/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.7107 (1.6388)	Prec@1 53.000 (55.924)	Prec@5 84.500 (84.426)
Epoch: [83][6510/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.6348 (1.6388)	Prec@1 57.500 (55.922)	Prec@5 83.000 (84.424)
Epoch: [83][6520/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.5245 (1.6388)	Prec@1 58.000 (55.922)	Prec@5 84.500 (84.426)
Epoch: [83][6530/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.7101 (1.6389)	Prec@1 56.000 (55.920)	Prec@5 83.500 (84.427)
Epoch: [83][6540/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.6278 (1.6389)	Prec@1 58.000 (55.918)	Prec@5 83.500 (84.425)
Epoch: [83][6550/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.6560 (1.6390)	Prec@1 54.500 (55.917)	Prec@5 85.000 (84.424)
Epoch: [83][6560/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.5275 (1.6390)	Prec@1 57.500 (55.916)	Prec@5 87.000 (84.424)
Epoch: [83][6570/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.5488 (1.6390)	Prec@1 58.000 (55.919)	Prec@5 87.500 (84.425)
Epoch: [83][6580/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.4601 (1.6389)	Prec@1 58.000 (55.921)	Prec@5 87.000 (84.427)
Epoch: [83][6590/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.7710 (1.6389)	Prec@1 54.000 (55.920)	Prec@5 79.500 (84.427)
Epoch: [83][6600/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.6727 (1.6389)	Prec@1 54.500 (55.922)	Prec@5 83.500 (84.429)
Epoch: [83][6610/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.5506 (1.6389)	Prec@1 60.000 (55.921)	Prec@5 85.500 (84.428)
Epoch: [83][6620/9018]	Time 0.620 (0.611)	Data 0.001 (0.001)	Loss 1.6127 (1.6390)	Prec@1 55.000 (55.919)	Prec@5 83.500 (84.428)
Epoch: [83][6630/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.6863 (1.6391)	Prec@1 54.000 (55.915)	Prec@5 84.500 (84.427)
Epoch: [83][6640/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.5828 (1.6390)	Prec@1 57.500 (55.916)	Prec@5 83.000 (84.428)
Epoch: [83][6650/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.4045 (1.6390)	Prec@1 61.000 (55.917)	Prec@5 88.000 (84.428)
Epoch: [83][6660/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.5481 (1.6390)	Prec@1 59.000 (55.917)	Prec@5 85.500 (84.429)
Epoch: [83][6670/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.7273 (1.6389)	Prec@1 54.000 (55.918)	Prec@5 82.500 (84.430)
Epoch: [83][6680/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.6358 (1.6389)	Prec@1 55.000 (55.918)	Prec@5 86.500 (84.431)
Epoch: [83][6690/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.5368 (1.6388)	Prec@1 64.000 (55.920)	Prec@5 85.000 (84.432)
Epoch: [83][6700/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.6634 (1.6389)	Prec@1 60.500 (55.921)	Prec@5 84.000 (84.430)
Epoch: [83][6710/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.5122 (1.6389)	Prec@1 61.000 (55.921)	Prec@5 90.000 (84.430)
Epoch: [83][6720/9018]	Time 0.618 (0.611)	Data 0.001 (0.001)	Loss 1.5395 (1.6388)	Prec@1 59.000 (55.922)	Prec@5 86.000 (84.431)
Epoch: [83][6730/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 1.7511 (1.6389)	Prec@1 53.500 (55.921)	Prec@5 80.500 (84.429)
Epoch: [83][6740/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.8406 (1.6390)	Prec@1 54.000 (55.921)	Prec@5 81.000 (84.428)
Epoch: [83][6750/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.8605 (1.6390)	Prec@1 50.000 (55.920)	Prec@5 81.500 (84.427)
Epoch: [83][6760/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.4901 (1.6391)	Prec@1 59.000 (55.920)	Prec@5 85.000 (84.427)
Epoch: [83][6770/9018]	Time 0.722 (0.611)	Data 0.001 (0.001)	Loss 1.7325 (1.6392)	Prec@1 54.000 (55.918)	Prec@5 81.500 (84.424)
Epoch: [83][6780/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.4846 (1.6391)	Prec@1 61.500 (55.918)	Prec@5 88.500 (84.426)
Epoch: [83][6790/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 1.5984 (1.6391)	Prec@1 61.000 (55.920)	Prec@5 84.500 (84.426)
Epoch: [83][6800/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.8526 (1.6391)	Prec@1 56.000 (55.919)	Prec@5 81.000 (84.426)
Epoch: [83][6810/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.6544 (1.6390)	Prec@1 56.000 (55.923)	Prec@5 83.500 (84.426)
Epoch: [83][6820/9018]	Time 0.707 (0.611)	Data 0.001 (0.001)	Loss 1.5500 (1.6390)	Prec@1 58.500 (55.923)	Prec@5 83.500 (84.428)
Epoch: [83][6830/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.5844 (1.6390)	Prec@1 55.500 (55.922)	Prec@5 84.000 (84.428)
Epoch: [83][6840/9018]	Time 0.626 (0.611)	Data 0.001 (0.001)	Loss 1.3813 (1.6389)	Prec@1 60.500 (55.924)	Prec@5 88.500 (84.428)
Epoch: [83][6850/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.6749 (1.6390)	Prec@1 53.500 (55.923)	Prec@5 85.000 (84.427)
Epoch: [83][6860/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.5033 (1.6389)	Prec@1 60.000 (55.924)	Prec@5 86.500 (84.429)
Epoch: [83][6870/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.5797 (1.6390)	Prec@1 55.500 (55.921)	Prec@5 87.500 (84.429)
Epoch: [83][6880/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 1.7004 (1.6390)	Prec@1 55.500 (55.920)	Prec@5 83.500 (84.429)
Epoch: [83][6890/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.4857 (1.6391)	Prec@1 60.500 (55.919)	Prec@5 87.500 (84.428)
Epoch: [83][6900/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.6970 (1.6391)	Prec@1 53.500 (55.917)	Prec@5 81.500 (84.427)
Epoch: [83][6910/9018]	Time 0.590 (0.611)	Data 0.001 (0.001)	Loss 1.5526 (1.6391)	Prec@1 58.500 (55.915)	Prec@5 83.000 (84.426)
Epoch: [83][6920/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.9413 (1.6392)	Prec@1 47.000 (55.916)	Prec@5 79.500 (84.423)
Epoch: [83][6930/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.5899 (1.6391)	Prec@1 59.500 (55.919)	Prec@5 86.500 (84.425)
Epoch: [83][6940/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.8558 (1.6392)	Prec@1 49.000 (55.917)	Prec@5 83.000 (84.424)
Epoch: [83][6950/9018]	Time 0.617 (0.611)	Data 0.001 (0.001)	Loss 1.5208 (1.6392)	Prec@1 59.000 (55.917)	Prec@5 87.000 (84.424)
Epoch: [83][6960/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.6327 (1.6392)	Prec@1 52.500 (55.918)	Prec@5 85.000 (84.424)
Epoch: [83][6970/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 1.6417 (1.6392)	Prec@1 53.500 (55.919)	Prec@5 88.500 (84.424)
Epoch: [83][6980/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.6501 (1.6392)	Prec@1 53.500 (55.918)	Prec@5 87.000 (84.423)
Epoch: [83][6990/9018]	Time 0.600 (0.611)	Data 0.003 (0.001)	Loss 1.7502 (1.6392)	Prec@1 51.000 (55.918)	Prec@5 82.000 (84.423)
Epoch: [83][7000/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.4153 (1.6393)	Prec@1 62.500 (55.917)	Prec@5 87.500 (84.422)
Epoch: [83][7010/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.4518 (1.6393)	Prec@1 62.500 (55.916)	Prec@5 85.000 (84.421)
Epoch: [83][7020/9018]	Time 0.625 (0.611)	Data 0.001 (0.001)	Loss 1.7509 (1.6393)	Prec@1 58.000 (55.916)	Prec@5 83.500 (84.421)
Epoch: [83][7030/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.8564 (1.6393)	Prec@1 53.000 (55.918)	Prec@5 79.000 (84.420)
Epoch: [83][7040/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.6505 (1.6392)	Prec@1 56.500 (55.917)	Prec@5 85.000 (84.420)
Epoch: [83][7050/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.6154 (1.6393)	Prec@1 61.500 (55.914)	Prec@5 83.500 (84.420)
Epoch: [83][7060/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 1.3491 (1.6392)	Prec@1 67.500 (55.916)	Prec@5 87.000 (84.421)
Epoch: [83][7070/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.5048 (1.6391)	Prec@1 58.000 (55.919)	Prec@5 86.000 (84.423)
Epoch: [83][7080/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.7429 (1.6392)	Prec@1 55.000 (55.919)	Prec@5 84.000 (84.422)
Epoch: [83][7090/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.5357 (1.6391)	Prec@1 60.000 (55.921)	Prec@5 86.000 (84.423)
Epoch: [83][7100/9018]	Time 0.730 (0.611)	Data 0.001 (0.001)	Loss 1.7349 (1.6390)	Prec@1 51.500 (55.921)	Prec@5 86.000 (84.424)
Epoch: [83][7110/9018]	Time 0.620 (0.611)	Data 0.001 (0.001)	Loss 1.5912 (1.6391)	Prec@1 56.500 (55.918)	Prec@5 85.000 (84.422)
Epoch: [83][7120/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.7625 (1.6392)	Prec@1 52.000 (55.914)	Prec@5 81.500 (84.420)
Epoch: [83][7130/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.6352 (1.6391)	Prec@1 54.000 (55.915)	Prec@5 86.500 (84.421)
Epoch: [83][7140/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.7210 (1.6391)	Prec@1 55.500 (55.916)	Prec@5 84.000 (84.420)
Epoch: [83][7150/9018]	Time 0.712 (0.611)	Data 0.001 (0.001)	Loss 1.5286 (1.6391)	Prec@1 62.000 (55.916)	Prec@5 85.500 (84.420)
Epoch: [83][7160/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.7066 (1.6392)	Prec@1 53.000 (55.915)	Prec@5 81.500 (84.419)
Epoch: [83][7170/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.7156 (1.6392)	Prec@1 53.500 (55.916)	Prec@5 80.500 (84.417)
Epoch: [83][7180/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 1.4870 (1.6391)	Prec@1 60.000 (55.917)	Prec@5 86.500 (84.418)
Epoch: [83][7190/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.6118 (1.6390)	Prec@1 58.000 (55.919)	Prec@5 85.500 (84.418)
Epoch: [83][7200/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.8952 (1.6391)	Prec@1 49.500 (55.920)	Prec@5 80.000 (84.417)
Epoch: [83][7210/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.6110 (1.6391)	Prec@1 58.500 (55.921)	Prec@5 83.500 (84.417)
Epoch: [83][7220/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.6527 (1.6390)	Prec@1 57.000 (55.922)	Prec@5 84.000 (84.418)
Epoch: [83][7230/9018]	Time 0.619 (0.611)	Data 0.001 (0.001)	Loss 1.4323 (1.6390)	Prec@1 61.500 (55.921)	Prec@5 84.500 (84.416)
Epoch: [83][7240/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.8803 (1.6391)	Prec@1 47.500 (55.919)	Prec@5 84.500 (84.415)
Epoch: [83][7250/9018]	Time 0.621 (0.611)	Data 0.001 (0.001)	Loss 1.6116 (1.6392)	Prec@1 59.000 (55.916)	Prec@5 83.500 (84.413)
Epoch: [83][7260/9018]	Time 0.608 (0.611)	Data 0.001 (0.001)	Loss 1.5999 (1.6391)	Prec@1 56.500 (55.919)	Prec@5 86.000 (84.414)
Epoch: [83][7270/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.9015 (1.6392)	Prec@1 50.500 (55.918)	Prec@5 80.500 (84.413)
Epoch: [83][7280/9018]	Time 0.609 (0.611)	Data 0.001 (0.001)	Loss 1.5905 (1.6392)	Prec@1 57.000 (55.917)	Prec@5 88.000 (84.415)
Epoch: [83][7290/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.6255 (1.6392)	Prec@1 54.000 (55.918)	Prec@5 87.000 (84.415)
Epoch: [83][7300/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.8947 (1.6392)	Prec@1 51.500 (55.916)	Prec@5 78.500 (84.414)
Epoch: [83][7310/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.6001 (1.6393)	Prec@1 56.500 (55.913)	Prec@5 83.000 (84.414)
Epoch: [83][7320/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.5309 (1.6393)	Prec@1 58.500 (55.913)	Prec@5 89.000 (84.414)
Epoch: [83][7330/9018]	Time 0.617 (0.611)	Data 0.001 (0.001)	Loss 1.5120 (1.6393)	Prec@1 63.500 (55.913)	Prec@5 85.500 (84.413)
Epoch: [83][7340/9018]	Time 0.615 (0.611)	Data 0.001 (0.001)	Loss 1.8111 (1.6394)	Prec@1 53.500 (55.909)	Prec@5 78.000 (84.411)
Epoch: [83][7350/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.5992 (1.6394)	Prec@1 60.000 (55.908)	Prec@5 84.500 (84.411)
Epoch: [83][7360/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.7406 (1.6395)	Prec@1 53.500 (55.906)	Prec@5 80.000 (84.409)
Epoch: [83][7370/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.7688 (1.6396)	Prec@1 54.500 (55.905)	Prec@5 82.000 (84.408)
Epoch: [83][7380/9018]	Time 0.751 (0.611)	Data 0.001 (0.001)	Loss 1.6752 (1.6395)	Prec@1 51.500 (55.906)	Prec@5 87.000 (84.409)
Epoch: [83][7390/9018]	Time 0.589 (0.611)	Data 0.001 (0.001)	Loss 1.9116 (1.6395)	Prec@1 45.500 (55.906)	Prec@5 83.500 (84.408)
Epoch: [83][7400/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.6191 (1.6396)	Prec@1 57.500 (55.904)	Prec@5 85.000 (84.408)
Epoch: [83][7410/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 1.4186 (1.6396)	Prec@1 58.500 (55.902)	Prec@5 86.500 (84.406)
Epoch: [83][7420/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.4911 (1.6396)	Prec@1 61.500 (55.904)	Prec@5 88.000 (84.406)
Epoch: [83][7430/9018]	Time 0.720 (0.611)	Data 0.001 (0.001)	Loss 1.7137 (1.6397)	Prec@1 52.000 (55.904)	Prec@5 82.000 (84.404)
Epoch: [83][7440/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.7708 (1.6396)	Prec@1 56.000 (55.906)	Prec@5 83.000 (84.405)
Epoch: [83][7450/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.8131 (1.6397)	Prec@1 52.000 (55.906)	Prec@5 81.500 (84.403)
Epoch: [83][7460/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.6194 (1.6397)	Prec@1 56.500 (55.905)	Prec@5 86.000 (84.404)
Epoch: [83][7470/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.5329 (1.6396)	Prec@1 60.000 (55.906)	Prec@5 84.500 (84.404)
Epoch: [83][7480/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.4702 (1.6397)	Prec@1 60.500 (55.906)	Prec@5 86.000 (84.403)
Epoch: [83][7490/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.6795 (1.6396)	Prec@1 57.000 (55.909)	Prec@5 82.500 (84.403)
Epoch: [83][7500/9018]	Time 0.612 (0.611)	Data 0.001 (0.001)	Loss 1.5086 (1.6396)	Prec@1 59.000 (55.909)	Prec@5 86.000 (84.402)
Epoch: [83][7510/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.5615 (1.6396)	Prec@1 55.500 (55.911)	Prec@5 86.500 (84.402)
Epoch: [83][7520/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.6593 (1.6396)	Prec@1 53.000 (55.911)	Prec@5 83.000 (84.402)
Epoch: [83][7530/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.7174 (1.6397)	Prec@1 51.000 (55.909)	Prec@5 84.000 (84.400)
Epoch: [83][7540/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.7272 (1.6397)	Prec@1 50.500 (55.908)	Prec@5 82.500 (84.400)
Epoch: [83][7550/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.4802 (1.6397)	Prec@1 59.500 (55.907)	Prec@5 86.000 (84.400)
Epoch: [83][7560/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.5964 (1.6396)	Prec@1 57.500 (55.910)	Prec@5 86.000 (84.402)
Epoch: [83][7570/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.6768 (1.6396)	Prec@1 51.500 (55.909)	Prec@5 84.000 (84.402)
Epoch: [83][7580/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.7912 (1.6396)	Prec@1 53.000 (55.907)	Prec@5 83.000 (84.402)
Epoch: [83][7590/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.6858 (1.6397)	Prec@1 55.000 (55.905)	Prec@5 82.500 (84.402)
Epoch: [83][7600/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.7147 (1.6396)	Prec@1 53.000 (55.907)	Prec@5 84.000 (84.403)
Epoch: [83][7610/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.8404 (1.6397)	Prec@1 51.500 (55.903)	Prec@5 81.500 (84.402)
Epoch: [83][7620/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.7612 (1.6398)	Prec@1 54.500 (55.902)	Prec@5 79.500 (84.399)
Epoch: [83][7630/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.7496 (1.6398)	Prec@1 57.000 (55.903)	Prec@5 85.000 (84.400)
Epoch: [83][7640/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.9507 (1.6398)	Prec@1 52.500 (55.900)	Prec@5 76.000 (84.398)
Epoch: [83][7650/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.8842 (1.6398)	Prec@1 52.000 (55.899)	Prec@5 80.500 (84.399)
Epoch: [83][7660/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.7807 (1.6399)	Prec@1 51.500 (55.897)	Prec@5 83.000 (84.398)
Epoch: [83][7670/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.5667 (1.6399)	Prec@1 63.000 (55.896)	Prec@5 83.000 (84.397)
Epoch: [83][7680/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.6351 (1.6399)	Prec@1 57.500 (55.894)	Prec@5 83.500 (84.396)
Epoch: [83][7690/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.7746 (1.6400)	Prec@1 53.500 (55.893)	Prec@5 84.000 (84.396)
Epoch: [83][7700/9018]	Time 0.629 (0.611)	Data 0.001 (0.001)	Loss 1.7256 (1.6400)	Prec@1 53.500 (55.894)	Prec@5 81.000 (84.395)
Epoch: [83][7710/9018]	Time 0.711 (0.611)	Data 0.001 (0.001)	Loss 1.9075 (1.6400)	Prec@1 50.500 (55.892)	Prec@5 79.000 (84.395)
Epoch: [83][7720/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.7666 (1.6401)	Prec@1 53.000 (55.889)	Prec@5 83.000 (84.394)
Epoch: [83][7730/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.5751 (1.6401)	Prec@1 56.500 (55.889)	Prec@5 88.500 (84.395)
Epoch: [83][7740/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 1.4925 (1.6401)	Prec@1 60.000 (55.888)	Prec@5 86.500 (84.395)
Epoch: [83][7750/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.7100 (1.6401)	Prec@1 51.000 (55.887)	Prec@5 82.500 (84.393)
Epoch: [83][7760/9018]	Time 0.731 (0.611)	Data 0.001 (0.001)	Loss 1.5753 (1.6401)	Prec@1 56.000 (55.887)	Prec@5 88.500 (84.394)
Epoch: [83][7770/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.6333 (1.6402)	Prec@1 53.500 (55.884)	Prec@5 87.000 (84.393)
Epoch: [83][7780/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.7000 (1.6402)	Prec@1 55.500 (55.885)	Prec@5 84.000 (84.394)
Epoch: [83][7790/9018]	Time 0.611 (0.611)	Data 0.001 (0.001)	Loss 1.6849 (1.6402)	Prec@1 54.500 (55.884)	Prec@5 84.500 (84.393)
Epoch: [83][7800/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.6505 (1.6402)	Prec@1 58.000 (55.883)	Prec@5 85.500 (84.392)
Epoch: [83][7810/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.7438 (1.6402)	Prec@1 55.000 (55.882)	Prec@5 82.500 (84.391)
Epoch: [83][7820/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.6631 (1.6403)	Prec@1 56.000 (55.880)	Prec@5 81.000 (84.390)
Epoch: [83][7830/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.7964 (1.6403)	Prec@1 49.000 (55.878)	Prec@5 82.000 (84.392)
Epoch: [83][7840/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.7168 (1.6403)	Prec@1 57.500 (55.881)	Prec@5 84.000 (84.392)
Epoch: [83][7850/9018]	Time 0.591 (0.611)	Data 0.001 (0.001)	Loss 1.6947 (1.6403)	Prec@1 52.000 (55.878)	Prec@5 82.500 (84.390)
Epoch: [83][7860/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.5211 (1.6404)	Prec@1 57.000 (55.876)	Prec@5 87.000 (84.390)
Epoch: [83][7870/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.5370 (1.6403)	Prec@1 63.500 (55.878)	Prec@5 87.500 (84.392)
Epoch: [83][7880/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.7302 (1.6403)	Prec@1 57.500 (55.877)	Prec@5 81.000 (84.392)
Epoch: [83][7890/9018]	Time 0.593 (0.611)	Data 0.001 (0.001)	Loss 1.8359 (1.6403)	Prec@1 49.000 (55.876)	Prec@5 81.000 (84.392)
Epoch: [83][7900/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.6189 (1.6403)	Prec@1 53.500 (55.874)	Prec@5 84.000 (84.392)
Epoch: [83][7910/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 1.6038 (1.6403)	Prec@1 50.500 (55.873)	Prec@5 84.000 (84.393)
Epoch: [83][7920/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.7895 (1.6403)	Prec@1 49.500 (55.872)	Prec@5 82.000 (84.394)
Epoch: [83][7930/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.7994 (1.6404)	Prec@1 55.000 (55.872)	Prec@5 84.000 (84.394)
Epoch: [83][7940/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.6009 (1.6404)	Prec@1 58.500 (55.872)	Prec@5 85.000 (84.394)
Epoch: [83][7950/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.6698 (1.6404)	Prec@1 55.500 (55.872)	Prec@5 85.000 (84.395)
Epoch: [83][7960/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.4514 (1.6404)	Prec@1 64.500 (55.871)	Prec@5 87.000 (84.394)
Epoch: [83][7970/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.6765 (1.6404)	Prec@1 54.000 (55.869)	Prec@5 80.500 (84.393)
Epoch: [83][7980/9018]	Time 0.594 (0.611)	Data 0.001 (0.001)	Loss 1.3630 (1.6404)	Prec@1 60.000 (55.869)	Prec@5 91.500 (84.393)
Epoch: [83][7990/9018]	Time 0.617 (0.611)	Data 0.001 (0.001)	Loss 1.5835 (1.6404)	Prec@1 60.000 (55.868)	Prec@5 84.000 (84.394)
Epoch: [83][8000/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.6649 (1.6404)	Prec@1 55.500 (55.869)	Prec@5 83.000 (84.395)
Epoch: [83][8010/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 2.0256 (1.6404)	Prec@1 48.500 (55.867)	Prec@5 78.000 (84.393)
Epoch: [83][8020/9018]	Time 0.614 (0.611)	Data 0.001 (0.001)	Loss 1.4386 (1.6404)	Prec@1 56.500 (55.867)	Prec@5 91.000 (84.394)
Epoch: [83][8030/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 1.7559 (1.6405)	Prec@1 52.500 (55.865)	Prec@5 79.000 (84.392)
Epoch: [83][8040/9018]	Time 0.734 (0.611)	Data 0.001 (0.001)	Loss 1.7825 (1.6405)	Prec@1 54.500 (55.864)	Prec@5 82.000 (84.390)
Epoch: [83][8050/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.6837 (1.6406)	Prec@1 58.000 (55.862)	Prec@5 80.500 (84.387)
Epoch: [83][8060/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.5738 (1.6407)	Prec@1 54.500 (55.860)	Prec@5 85.500 (84.386)
Epoch: [83][8070/9018]	Time 0.623 (0.611)	Data 0.001 (0.001)	Loss 1.5930 (1.6407)	Prec@1 61.000 (55.859)	Prec@5 84.500 (84.386)
Epoch: [83][8080/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.7428 (1.6408)	Prec@1 50.500 (55.857)	Prec@5 84.500 (84.384)
Epoch: [83][8090/9018]	Time 0.688 (0.611)	Data 0.001 (0.001)	Loss 1.6455 (1.6408)	Prec@1 53.000 (55.856)	Prec@5 85.500 (84.384)
Epoch: [83][8100/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 1.7539 (1.6409)	Prec@1 50.500 (55.853)	Prec@5 82.500 (84.384)
Epoch: [83][8110/9018]	Time 0.597 (0.611)	Data 0.001 (0.001)	Loss 1.4546 (1.6409)	Prec@1 62.000 (55.855)	Prec@5 86.500 (84.383)
Epoch: [83][8120/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.4339 (1.6409)	Prec@1 64.500 (55.858)	Prec@5 87.000 (84.384)
Epoch: [83][8130/9018]	Time 0.606 (0.611)	Data 0.001 (0.001)	Loss 1.8217 (1.6410)	Prec@1 53.000 (55.855)	Prec@5 83.000 (84.382)
Epoch: [83][8140/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.6434 (1.6410)	Prec@1 56.500 (55.856)	Prec@5 83.000 (84.381)
Epoch: [83][8150/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.7968 (1.6410)	Prec@1 54.000 (55.856)	Prec@5 80.500 (84.379)
Epoch: [83][8160/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.6721 (1.6410)	Prec@1 57.000 (55.857)	Prec@5 83.500 (84.379)
Epoch: [83][8170/9018]	Time 0.621 (0.611)	Data 0.001 (0.001)	Loss 1.5224 (1.6410)	Prec@1 56.500 (55.858)	Prec@5 87.000 (84.379)
Epoch: [83][8180/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.7452 (1.6411)	Prec@1 53.000 (55.855)	Prec@5 80.500 (84.378)
Epoch: [83][8190/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.6140 (1.6410)	Prec@1 54.500 (55.856)	Prec@5 84.000 (84.378)
Epoch: [83][8200/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.6000 (1.6411)	Prec@1 56.000 (55.852)	Prec@5 85.000 (84.377)
Epoch: [83][8210/9018]	Time 0.601 (0.611)	Data 0.001 (0.001)	Loss 1.4712 (1.6410)	Prec@1 55.500 (55.854)	Prec@5 89.500 (84.378)
Epoch: [83][8220/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.7041 (1.6410)	Prec@1 58.000 (55.855)	Prec@5 82.500 (84.378)
Epoch: [83][8230/9018]	Time 0.592 (0.611)	Data 0.001 (0.001)	Loss 1.8182 (1.6411)	Prec@1 56.000 (55.857)	Prec@5 80.000 (84.377)
Epoch: [83][8240/9018]	Time 0.607 (0.611)	Data 0.001 (0.001)	Loss 1.4887 (1.6410)	Prec@1 59.000 (55.857)	Prec@5 86.500 (84.377)
Epoch: [83][8250/9018]	Time 0.605 (0.611)	Data 0.001 (0.001)	Loss 1.7427 (1.6410)	Prec@1 54.500 (55.857)	Prec@5 79.500 (84.377)
Epoch: [83][8260/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.6840 (1.6411)	Prec@1 54.000 (55.854)	Prec@5 85.500 (84.377)
Epoch: [83][8270/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.7451 (1.6412)	Prec@1 52.000 (55.853)	Prec@5 84.000 (84.375)
Epoch: [83][8280/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.7746 (1.6412)	Prec@1 50.500 (55.852)	Prec@5 82.000 (84.375)
Epoch: [83][8290/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.7141 (1.6412)	Prec@1 51.500 (55.851)	Prec@5 84.500 (84.376)
Epoch: [83][8300/9018]	Time 0.596 (0.611)	Data 0.001 (0.001)	Loss 1.4868 (1.6412)	Prec@1 58.500 (55.850)	Prec@5 89.000 (84.376)
Epoch: [83][8310/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.6047 (1.6411)	Prec@1 56.000 (55.850)	Prec@5 84.500 (84.376)
Epoch: [83][8320/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.4706 (1.6411)	Prec@1 60.000 (55.851)	Prec@5 88.500 (84.376)
Epoch: [83][8330/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.8105 (1.6412)	Prec@1 51.000 (55.849)	Prec@5 82.500 (84.375)
Epoch: [83][8340/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.6357 (1.6411)	Prec@1 57.500 (55.849)	Prec@5 83.000 (84.376)
Epoch: [83][8350/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.7659 (1.6411)	Prec@1 54.500 (55.849)	Prec@5 82.500 (84.375)
Epoch: [83][8360/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.7836 (1.6412)	Prec@1 54.500 (55.849)	Prec@5 83.000 (84.374)
Epoch: [83][8370/9018]	Time 0.723 (0.611)	Data 0.001 (0.001)	Loss 1.6272 (1.6412)	Prec@1 55.500 (55.848)	Prec@5 86.500 (84.375)
Epoch: [83][8380/9018]	Time 0.600 (0.611)	Data 0.001 (0.001)	Loss 1.8501 (1.6412)	Prec@1 50.500 (55.849)	Prec@5 80.000 (84.375)
Epoch: [83][8390/9018]	Time 0.589 (0.611)	Data 0.001 (0.001)	Loss 1.6329 (1.6412)	Prec@1 55.000 (55.848)	Prec@5 85.000 (84.374)
Epoch: [83][8400/9018]	Time 0.602 (0.611)	Data 0.001 (0.001)	Loss 1.8593 (1.6412)	Prec@1 49.500 (55.848)	Prec@5 80.000 (84.372)
Epoch: [83][8410/9018]	Time 0.598 (0.611)	Data 0.001 (0.001)	Loss 1.8403 (1.6412)	Prec@1 47.000 (55.847)	Prec@5 81.000 (84.372)
Epoch: [83][8420/9018]	Time 0.703 (0.611)	Data 0.001 (0.001)	Loss 1.6931 (1.6412)	Prec@1 55.000 (55.847)	Prec@5 83.500 (84.372)
Epoch: [83][8430/9018]	Time 0.622 (0.611)	Data 0.001 (0.001)	Loss 1.7132 (1.6413)	Prec@1 54.500 (55.846)	Prec@5 84.500 (84.371)
Epoch: [83][8440/9018]	Time 0.603 (0.611)	Data 0.001 (0.001)	Loss 1.7322 (1.6413)	Prec@1 51.500 (55.845)	Prec@5 83.500 (84.372)
Epoch: [83][8450/9018]	Time 0.595 (0.611)	Data 0.001 (0.001)	Loss 1.6582 (1.6413)	Prec@1 56.000 (55.846)	Prec@5 83.500 (84.372)
Epoch: [83][8460/9018]	Time 0.604 (0.611)	Data 0.001 (0.001)	Loss 1.5285 (1.6412)	Prec@1 54.500 (55.846)	Prec@5 87.500 (84.375)
Epoch: [83][8470/9018]	Time 0.599 (0.611)	Data 0.001 (0.001)	Loss 1.4695 (1.6413)	Prec@1 58.500 (55.845)	Prec@5 86.500 (84.375)
Epoch: [83][8480/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 1.8490 (1.6414)	Prec@1 51.000 (55.844)	Prec@5 79.500 (84.373)
Epoch: [83][8490/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.5143 (1.6414)	Prec@1 61.000 (55.846)	Prec@5 86.000 (84.373)
Epoch: [83][8500/9018]	Time 0.621 (0.610)	Data 0.001 (0.001)	Loss 1.4438 (1.6413)	Prec@1 60.000 (55.847)	Prec@5 85.500 (84.373)
Epoch: [83][8510/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.7028 (1.6413)	Prec@1 58.500 (55.846)	Prec@5 83.000 (84.373)
Epoch: [83][8520/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.6844 (1.6413)	Prec@1 57.000 (55.847)	Prec@5 82.500 (84.374)
Epoch: [83][8530/9018]	Time 0.625 (0.610)	Data 0.001 (0.001)	Loss 1.6526 (1.6413)	Prec@1 54.000 (55.846)	Prec@5 80.500 (84.374)
Epoch: [83][8540/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.6748 (1.6412)	Prec@1 52.000 (55.846)	Prec@5 83.000 (84.375)
Epoch: [83][8550/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.5395 (1.6412)	Prec@1 58.000 (55.847)	Prec@5 88.000 (84.376)
Epoch: [83][8560/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.6539 (1.6412)	Prec@1 59.500 (55.845)	Prec@5 83.500 (84.375)
Epoch: [83][8570/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.5934 (1.6412)	Prec@1 57.000 (55.846)	Prec@5 82.000 (84.375)
Epoch: [83][8580/9018]	Time 0.608 (0.610)	Data 0.001 (0.001)	Loss 1.3804 (1.6412)	Prec@1 64.000 (55.847)	Prec@5 88.500 (84.374)
Epoch: [83][8590/9018]	Time 0.613 (0.610)	Data 0.001 (0.001)	Loss 1.5199 (1.6412)	Prec@1 53.500 (55.845)	Prec@5 90.500 (84.373)
Epoch: [83][8600/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.3594 (1.6412)	Prec@1 63.000 (55.846)	Prec@5 87.500 (84.372)
Epoch: [83][8610/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 1.8852 (1.6413)	Prec@1 48.000 (55.843)	Prec@5 77.000 (84.369)
Epoch: [83][8620/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.5517 (1.6414)	Prec@1 61.000 (55.842)	Prec@5 86.500 (84.367)
Epoch: [83][8630/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.4793 (1.6413)	Prec@1 60.000 (55.846)	Prec@5 85.500 (84.368)
Epoch: [83][8640/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.7645 (1.6413)	Prec@1 53.000 (55.845)	Prec@5 83.000 (84.368)
Epoch: [83][8650/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.5156 (1.6413)	Prec@1 57.500 (55.846)	Prec@5 87.500 (84.368)
Epoch: [83][8660/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.7787 (1.6413)	Prec@1 54.000 (55.847)	Prec@5 82.000 (84.368)
Epoch: [83][8670/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.4841 (1.6412)	Prec@1 59.500 (55.848)	Prec@5 88.000 (84.369)
Epoch: [83][8680/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.5341 (1.6412)	Prec@1 60.500 (55.850)	Prec@5 86.500 (84.371)
Epoch: [83][8690/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 1.5286 (1.6412)	Prec@1 54.500 (55.849)	Prec@5 85.500 (84.370)
Epoch: [83][8700/9018]	Time 0.719 (0.610)	Data 0.001 (0.001)	Loss 1.5954 (1.6412)	Prec@1 52.000 (55.848)	Prec@5 85.500 (84.372)
Epoch: [83][8710/9018]	Time 0.614 (0.610)	Data 0.001 (0.001)	Loss 1.6280 (1.6412)	Prec@1 56.500 (55.848)	Prec@5 83.500 (84.372)
Epoch: [83][8720/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.7264 (1.6412)	Prec@1 55.000 (55.848)	Prec@5 83.500 (84.373)
Epoch: [83][8730/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.8644 (1.6413)	Prec@1 49.000 (55.845)	Prec@5 81.000 (84.370)
Epoch: [83][8740/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.7166 (1.6414)	Prec@1 57.500 (55.844)	Prec@5 83.000 (84.370)
Epoch: [83][8750/9018]	Time 0.735 (0.610)	Data 0.001 (0.001)	Loss 1.4862 (1.6414)	Prec@1 58.000 (55.844)	Prec@5 86.500 (84.371)
Epoch: [83][8760/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.6171 (1.6414)	Prec@1 59.500 (55.846)	Prec@5 84.500 (84.371)
Epoch: [83][8770/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.7813 (1.6414)	Prec@1 52.500 (55.846)	Prec@5 85.000 (84.372)
Epoch: [83][8780/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.7466 (1.6414)	Prec@1 50.500 (55.846)	Prec@5 82.500 (84.371)
Epoch: [83][8790/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.6807 (1.6414)	Prec@1 55.500 (55.846)	Prec@5 83.500 (84.371)
Epoch: [83][8800/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.6309 (1.6414)	Prec@1 59.500 (55.846)	Prec@5 84.000 (84.371)
Epoch: [83][8810/9018]	Time 0.590 (0.610)	Data 0.001 (0.001)	Loss 1.6841 (1.6414)	Prec@1 60.500 (55.848)	Prec@5 85.000 (84.373)
Epoch: [83][8820/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.6552 (1.6414)	Prec@1 56.500 (55.849)	Prec@5 83.000 (84.372)
Epoch: [83][8830/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.6645 (1.6414)	Prec@1 51.500 (55.849)	Prec@5 85.500 (84.373)
Epoch: [83][8840/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 1.8025 (1.6413)	Prec@1 53.000 (55.849)	Prec@5 82.500 (84.373)
Epoch: [83][8850/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.4523 (1.6414)	Prec@1 58.000 (55.848)	Prec@5 86.000 (84.372)
Epoch: [83][8860/9018]	Time 0.617 (0.610)	Data 0.001 (0.001)	Loss 1.4827 (1.6414)	Prec@1 58.500 (55.846)	Prec@5 87.000 (84.371)
Epoch: [83][8870/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.5560 (1.6415)	Prec@1 55.500 (55.845)	Prec@5 85.500 (84.369)
Epoch: [83][8880/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.6965 (1.6416)	Prec@1 58.500 (55.843)	Prec@5 84.500 (84.368)
Epoch: [83][8890/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.6141 (1.6416)	Prec@1 60.000 (55.843)	Prec@5 84.500 (84.368)
Epoch: [83][8900/9018]	Time 0.612 (0.610)	Data 0.001 (0.001)	Loss 1.5913 (1.6416)	Prec@1 56.500 (55.843)	Prec@5 83.500 (84.368)
Epoch: [83][8910/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.6610 (1.6417)	Prec@1 50.000 (55.842)	Prec@5 85.500 (84.369)
Epoch: [83][8920/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.5795 (1.6417)	Prec@1 58.000 (55.841)	Prec@5 85.500 (84.369)
Epoch: [83][8930/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.5715 (1.6417)	Prec@1 56.000 (55.840)	Prec@5 86.500 (84.368)
Epoch: [83][8940/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.6780 (1.6417)	Prec@1 55.000 (55.840)	Prec@5 81.500 (84.368)
Epoch: [83][8950/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.7681 (1.6417)	Prec@1 53.000 (55.839)	Prec@5 82.500 (84.368)
Epoch: [83][8960/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.8974 (1.6418)	Prec@1 47.500 (55.835)	Prec@5 82.000 (84.368)
Epoch: [83][8970/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.6804 (1.6418)	Prec@1 49.500 (55.835)	Prec@5 85.000 (84.368)
Epoch: [83][8980/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.5540 (1.6418)	Prec@1 57.000 (55.836)	Prec@5 86.500 (84.367)
Epoch: [83][8990/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.6840 (1.6418)	Prec@1 58.000 (55.836)	Prec@5 86.500 (84.366)
Epoch: [83][9000/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.5363 (1.6419)	Prec@1 57.500 (55.835)	Prec@5 83.500 (84.365)
Epoch: [83][9010/9018]	Time 0.596 (0.610)	Data 0.000 (0.001)	Loss 1.7787 (1.6419)	Prec@1 52.500 (55.833)	Prec@5 86.500 (84.365)
Test: [0/183]	Time 1.423 (1.423)	Loss 2.5565 (2.5565)	Prec@1 31.500 (31.500)	Prec@5 71.000 (71.000)
Test: [10/183]	Time 0.188 (0.301)	Loss 1.5519 (1.6710)	Prec@1 64.000 (55.864)	Prec@5 85.000 (85.545)
Test: [20/183]	Time 0.189 (0.253)	Loss 1.9540 (1.6349)	Prec@1 46.500 (56.119)	Prec@5 82.500 (85.714)
Test: [30/183]	Time 0.199 (0.234)	Loss 2.2705 (1.6413)	Prec@1 32.000 (55.419)	Prec@5 76.500 (85.758)
Test: [40/183]	Time 0.191 (0.225)	Loss 2.2741 (1.6428)	Prec@1 39.500 (55.927)	Prec@5 79.500 (85.366)
Test: [50/183]	Time 0.189 (0.218)	Loss 1.6296 (1.6208)	Prec@1 55.000 (56.431)	Prec@5 88.000 (85.578)
Test: [60/183]	Time 0.188 (0.213)	Loss 2.1107 (1.6924)	Prec@1 46.500 (54.410)	Prec@5 75.500 (84.721)
Test: [70/183]	Time 0.190 (0.210)	Loss 1.7580 (1.6720)	Prec@1 48.500 (54.599)	Prec@5 85.500 (85.099)
Test: [80/183]	Time 0.188 (0.208)	Loss 1.4153 (1.6561)	Prec@1 57.500 (54.698)	Prec@5 92.000 (85.358)
Test: [90/183]	Time 0.187 (0.206)	Loss 2.3682 (1.6557)	Prec@1 40.500 (54.951)	Prec@5 72.500 (85.379)
Test: [100/183]	Time 0.189 (0.204)	Loss 0.7797 (1.6535)	Prec@1 75.000 (55.050)	Prec@5 95.500 (85.401)
Test: [110/183]	Time 0.189 (0.203)	Loss 0.6622 (1.6585)	Prec@1 82.500 (55.005)	Prec@5 97.500 (85.369)
Test: [120/183]	Time 0.197 (0.202)	Loss 2.0736 (1.6636)	Prec@1 44.500 (54.835)	Prec@5 75.500 (85.347)
Test: [130/183]	Time 0.189 (0.201)	Loss 2.9509 (1.6735)	Prec@1 21.000 (54.561)	Prec@5 71.500 (85.393)
Test: [140/183]	Time 0.185 (0.200)	Loss 1.7032 (1.6630)	Prec@1 58.000 (54.929)	Prec@5 85.500 (85.546)
Test: [150/183]	Time 0.190 (0.200)	Loss 0.6465 (1.6625)	Prec@1 83.000 (55.040)	Prec@5 97.500 (85.526)
Test: [160/183]	Time 0.184 (0.199)	Loss 1.5626 (1.6570)	Prec@1 54.000 (55.298)	Prec@5 86.500 (85.587)
Test: [170/183]	Time 0.186 (0.199)	Loss 2.1086 (1.6745)	Prec@1 31.000 (54.807)	Prec@5 83.500 (85.389)
Test: [180/183]	Time 0.177 (0.198)	Loss 1.9650 (1.6831)	Prec@1 48.000 (54.715)	Prec@5 83.000 (85.229)
 * Prec@1 54.693 Prec@5 85.225
Epoch: [84][0/9018]	Time 2.894 (2.894)	Data 2.282 (2.282)	Loss 1.6334 (1.6334)	Prec@1 60.500 (60.500)	Prec@5 83.500 (83.500)
Epoch: [84][10/9018]	Time 0.595 (0.806)	Data 0.001 (0.208)	Loss 1.5671 (1.5741)	Prec@1 57.500 (57.636)	Prec@5 86.000 (85.591)
Epoch: [84][20/9018]	Time 0.596 (0.715)	Data 0.001 (0.109)	Loss 1.6869 (1.6137)	Prec@1 55.500 (57.000)	Prec@5 83.500 (84.714)
Epoch: [84][30/9018]	Time 0.602 (0.681)	Data 0.001 (0.074)	Loss 1.4796 (1.6229)	Prec@1 56.500 (56.548)	Prec@5 90.500 (84.823)
Epoch: [84][40/9018]	Time 0.601 (0.660)	Data 0.001 (0.056)	Loss 1.5116 (1.6155)	Prec@1 61.500 (56.646)	Prec@5 82.500 (84.939)
Epoch: [84][50/9018]	Time 0.601 (0.650)	Data 0.001 (0.045)	Loss 1.5838 (1.6174)	Prec@1 57.000 (56.598)	Prec@5 85.500 (85.078)
Epoch: [84][60/9018]	Time 0.595 (0.641)	Data 0.001 (0.038)	Loss 1.5167 (1.6210)	Prec@1 56.500 (56.393)	Prec@5 87.500 (85.008)
Epoch: [84][70/9018]	Time 0.600 (0.637)	Data 0.001 (0.033)	Loss 1.7373 (1.6263)	Prec@1 52.500 (56.514)	Prec@5 85.000 (84.887)
Epoch: [84][80/9018]	Time 0.594 (0.635)	Data 0.001 (0.029)	Loss 1.7156 (1.6198)	Prec@1 58.500 (56.667)	Prec@5 82.000 (84.926)
Epoch: [84][90/9018]	Time 0.593 (0.630)	Data 0.001 (0.026)	Loss 1.6374 (1.6208)	Prec@1 54.000 (56.577)	Prec@5 86.500 (84.852)
Epoch: [84][100/9018]	Time 0.605 (0.628)	Data 0.001 (0.023)	Loss 1.5997 (1.6210)	Prec@1 56.500 (56.535)	Prec@5 82.000 (84.777)
Epoch: [84][110/9018]	Time 0.590 (0.625)	Data 0.001 (0.021)	Loss 1.6021 (1.6195)	Prec@1 52.000 (56.527)	Prec@5 85.000 (84.739)
Epoch: [84][120/9018]	Time 0.595 (0.624)	Data 0.001 (0.020)	Loss 1.8254 (1.6190)	Prec@1 50.000 (56.479)	Prec@5 83.000 (84.756)
Epoch: [84][130/9018]	Time 0.625 (0.624)	Data 0.001 (0.018)	Loss 1.5045 (1.6208)	Prec@1 64.500 (56.378)	Prec@5 87.500 (84.706)
Epoch: [84][140/9018]	Time 0.604 (0.623)	Data 0.001 (0.017)	Loss 1.5610 (1.6164)	Prec@1 55.500 (56.504)	Prec@5 85.000 (84.759)
Epoch: [84][150/9018]	Time 0.617 (0.622)	Data 0.001 (0.016)	Loss 1.7243 (1.6173)	Prec@1 55.000 (56.500)	Prec@5 81.500 (84.768)
Epoch: [84][160/9018]	Time 0.710 (0.621)	Data 0.001 (0.015)	Loss 1.4043 (1.6160)	Prec@1 64.000 (56.478)	Prec@5 87.000 (84.792)
Epoch: [84][170/9018]	Time 0.595 (0.620)	Data 0.001 (0.014)	Loss 1.5791 (1.6169)	Prec@1 58.500 (56.515)	Prec@5 86.000 (84.784)
Epoch: [84][180/9018]	Time 0.597 (0.620)	Data 0.001 (0.013)	Loss 1.6049 (1.6160)	Prec@1 56.500 (56.459)	Prec@5 82.500 (84.801)
Epoch: [84][190/9018]	Time 0.600 (0.619)	Data 0.001 (0.013)	Loss 1.6521 (1.6137)	Prec@1 54.500 (56.565)	Prec@5 82.500 (84.825)
Epoch: [84][200/9018]	Time 0.598 (0.619)	Data 0.001 (0.012)	Loss 1.3347 (1.6130)	Prec@1 64.500 (56.649)	Prec@5 88.000 (84.843)
Epoch: [84][210/9018]	Time 0.695 (0.618)	Data 0.001 (0.012)	Loss 1.6689 (1.6137)	Prec@1 54.000 (56.630)	Prec@5 86.000 (84.872)
Epoch: [84][220/9018]	Time 0.595 (0.617)	Data 0.001 (0.011)	Loss 1.7288 (1.6130)	Prec@1 49.500 (56.636)	Prec@5 84.500 (84.887)
Epoch: [84][230/9018]	Time 0.601 (0.617)	Data 0.001 (0.011)	Loss 1.6215 (1.6111)	Prec@1 58.500 (56.697)	Prec@5 83.500 (84.909)
Epoch: [84][240/9018]	Time 0.621 (0.617)	Data 0.001 (0.010)	Loss 1.3573 (1.6096)	Prec@1 62.500 (56.720)	Prec@5 87.000 (84.919)
Epoch: [84][250/9018]	Time 0.604 (0.617)	Data 0.001 (0.010)	Loss 1.4686 (1.6120)	Prec@1 58.500 (56.653)	Prec@5 88.500 (84.871)
Epoch: [84][260/9018]	Time 0.603 (0.616)	Data 0.001 (0.009)	Loss 1.6132 (1.6114)	Prec@1 56.000 (56.682)	Prec@5 82.000 (84.881)
Epoch: [84][270/9018]	Time 0.603 (0.616)	Data 0.001 (0.009)	Loss 1.3817 (1.6100)	Prec@1 63.500 (56.725)	Prec@5 87.500 (84.899)
Epoch: [84][280/9018]	Time 0.599 (0.616)	Data 0.001 (0.009)	Loss 1.6983 (1.6110)	Prec@1 59.000 (56.689)	Prec@5 83.500 (84.904)
Epoch: [84][290/9018]	Time 0.594 (0.615)	Data 0.001 (0.009)	Loss 1.7126 (1.6107)	Prec@1 58.500 (56.710)	Prec@5 85.000 (84.921)
Epoch: [84][300/9018]	Time 0.598 (0.615)	Data 0.001 (0.008)	Loss 1.4093 (1.6104)	Prec@1 57.000 (56.683)	Prec@5 87.500 (84.912)
Epoch: [84][310/9018]	Time 0.600 (0.615)	Data 0.001 (0.008)	Loss 1.5245 (1.6092)	Prec@1 58.000 (56.717)	Prec@5 87.500 (84.923)
Epoch: [84][320/9018]	Time 0.599 (0.614)	Data 0.001 (0.008)	Loss 1.3436 (1.6090)	Prec@1 64.500 (56.718)	Prec@5 87.500 (84.944)
Epoch: [84][330/9018]	Time 0.615 (0.614)	Data 0.001 (0.008)	Loss 1.3540 (1.6073)	Prec@1 59.000 (56.739)	Prec@5 90.500 (84.971)
Epoch: [84][340/9018]	Time 0.595 (0.614)	Data 0.001 (0.007)	Loss 1.5757 (1.6110)	Prec@1 60.500 (56.667)	Prec@5 83.000 (84.880)
Epoch: [84][350/9018]	Time 0.612 (0.614)	Data 0.001 (0.007)	Loss 1.5969 (1.6117)	Prec@1 56.500 (56.631)	Prec@5 85.500 (84.866)
Epoch: [84][360/9018]	Time 0.602 (0.614)	Data 0.001 (0.007)	Loss 1.6330 (1.6120)	Prec@1 55.500 (56.607)	Prec@5 82.000 (84.855)
Epoch: [84][370/9018]	Time 0.600 (0.613)	Data 0.001 (0.007)	Loss 1.6700 (1.6129)	Prec@1 52.500 (56.555)	Prec@5 84.000 (84.836)
Epoch: [84][380/9018]	Time 0.600 (0.613)	Data 0.001 (0.007)	Loss 1.6087 (1.6132)	Prec@1 54.000 (56.550)	Prec@5 85.000 (84.841)
Epoch: [84][390/9018]	Time 0.599 (0.613)	Data 0.001 (0.007)	Loss 1.5103 (1.6147)	Prec@1 58.500 (56.522)	Prec@5 87.000 (84.812)
Epoch: [84][400/9018]	Time 0.607 (0.613)	Data 0.001 (0.006)	Loss 1.6294 (1.6164)	Prec@1 63.000 (56.451)	Prec@5 84.000 (84.788)
Epoch: [84][410/9018]	Time 0.595 (0.613)	Data 0.001 (0.006)	Loss 1.5706 (1.6158)	Prec@1 55.000 (56.415)	Prec@5 89.000 (84.828)
Epoch: [84][420/9018]	Time 0.600 (0.613)	Data 0.001 (0.006)	Loss 1.2895 (1.6144)	Prec@1 66.500 (56.477)	Prec@5 92.500 (84.856)
Epoch: [84][430/9018]	Time 0.602 (0.613)	Data 0.001 (0.006)	Loss 1.5079 (1.6147)	Prec@1 56.500 (56.462)	Prec@5 88.500 (84.863)
Epoch: [84][440/9018]	Time 0.620 (0.612)	Data 0.001 (0.006)	Loss 1.6356 (1.6160)	Prec@1 59.500 (56.415)	Prec@5 82.500 (84.862)
Epoch: [84][450/9018]	Time 0.596 (0.612)	Data 0.001 (0.006)	Loss 1.7277 (1.6164)	Prec@1 54.000 (56.368)	Prec@5 85.000 (84.860)
Epoch: [84][460/9018]	Time 0.599 (0.612)	Data 0.001 (0.006)	Loss 1.5853 (1.6162)	Prec@1 57.000 (56.374)	Prec@5 85.500 (84.869)
Epoch: [84][470/9018]	Time 0.602 (0.612)	Data 0.001 (0.006)	Loss 1.6850 (1.6159)	Prec@1 55.000 (56.393)	Prec@5 85.000 (84.887)
Epoch: [84][480/9018]	Time 0.600 (0.612)	Data 0.001 (0.005)	Loss 1.6840 (1.6172)	Prec@1 57.000 (56.340)	Prec@5 84.500 (84.871)
Epoch: [84][490/9018]	Time 0.737 (0.612)	Data 0.001 (0.005)	Loss 1.7496 (1.6187)	Prec@1 58.000 (56.331)	Prec@5 83.000 (84.849)
Epoch: [84][500/9018]	Time 0.603 (0.612)	Data 0.001 (0.005)	Loss 1.5516 (1.6182)	Prec@1 57.500 (56.347)	Prec@5 87.500 (84.861)
Epoch: [84][510/9018]	Time 0.598 (0.612)	Data 0.001 (0.005)	Loss 1.6613 (1.6190)	Prec@1 61.500 (56.332)	Prec@5 83.500 (84.834)
Epoch: [84][520/9018]	Time 0.593 (0.612)	Data 0.001 (0.005)	Loss 1.6009 (1.6187)	Prec@1 58.000 (56.357)	Prec@5 87.000 (84.836)
Epoch: [84][530/9018]	Time 0.600 (0.612)	Data 0.001 (0.005)	Loss 1.5103 (1.6185)	Prec@1 60.500 (56.353)	Prec@5 85.500 (84.833)
Epoch: [84][540/9018]	Time 0.707 (0.612)	Data 0.001 (0.005)	Loss 1.7068 (1.6186)	Prec@1 56.000 (56.364)	Prec@5 80.500 (84.826)
Epoch: [84][550/9018]	Time 0.602 (0.612)	Data 0.001 (0.005)	Loss 1.4563 (1.6181)	Prec@1 57.000 (56.385)	Prec@5 88.500 (84.839)
Epoch: [84][560/9018]	Time 0.602 (0.612)	Data 0.001 (0.005)	Loss 1.6332 (1.6176)	Prec@1 50.500 (56.398)	Prec@5 85.500 (84.841)
Epoch: [84][570/9018]	Time 0.618 (0.611)	Data 0.001 (0.005)	Loss 1.8201 (1.6181)	Prec@1 56.000 (56.389)	Prec@5 80.000 (84.835)
Epoch: [84][580/9018]	Time 0.623 (0.612)	Data 0.001 (0.005)	Loss 1.7071 (1.6182)	Prec@1 56.500 (56.375)	Prec@5 82.000 (84.839)
Epoch: [84][590/9018]	Time 0.598 (0.612)	Data 0.001 (0.005)	Loss 1.6719 (1.6180)	Prec@1 54.000 (56.382)	Prec@5 83.000 (84.844)
Epoch: [84][600/9018]	Time 0.601 (0.611)	Data 0.001 (0.005)	Loss 1.5643 (1.6189)	Prec@1 61.000 (56.356)	Prec@5 85.000 (84.827)
Epoch: [84][610/9018]	Time 0.601 (0.611)	Data 0.001 (0.004)	Loss 1.6164 (1.6192)	Prec@1 54.500 (56.354)	Prec@5 85.000 (84.831)
Epoch: [84][620/9018]	Time 0.603 (0.611)	Data 0.001 (0.004)	Loss 1.5936 (1.6202)	Prec@1 57.500 (56.335)	Prec@5 86.500 (84.814)
Epoch: [84][630/9018]	Time 0.600 (0.611)	Data 0.001 (0.004)	Loss 1.7697 (1.6199)	Prec@1 54.000 (56.330)	Prec@5 81.000 (84.818)
Epoch: [84][640/9018]	Time 0.614 (0.611)	Data 0.001 (0.004)	Loss 1.5885 (1.6205)	Prec@1 54.500 (56.307)	Prec@5 86.000 (84.813)
Epoch: [84][650/9018]	Time 0.602 (0.611)	Data 0.001 (0.004)	Loss 1.6888 (1.6207)	Prec@1 49.500 (56.292)	Prec@5 84.500 (84.816)
Epoch: [84][660/9018]	Time 0.599 (0.611)	Data 0.001 (0.004)	Loss 1.6279 (1.6196)	Prec@1 53.500 (56.298)	Prec@5 84.000 (84.832)
Epoch: [84][670/9018]	Time 0.601 (0.611)	Data 0.001 (0.004)	Loss 1.6498 (1.6199)	Prec@1 52.000 (56.297)	Prec@5 85.000 (84.824)
Epoch: [84][680/9018]	Time 0.602 (0.611)	Data 0.001 (0.004)	Loss 1.6463 (1.6204)	Prec@1 56.000 (56.295)	Prec@5 82.500 (84.795)
Epoch: [84][690/9018]	Time 0.599 (0.611)	Data 0.001 (0.004)	Loss 1.4179 (1.6199)	Prec@1 58.000 (56.304)	Prec@5 90.000 (84.815)
Epoch: [84][700/9018]	Time 0.605 (0.611)	Data 0.001 (0.004)	Loss 1.6952 (1.6209)	Prec@1 53.500 (56.280)	Prec@5 84.500 (84.806)
Epoch: [84][710/9018]	Time 0.601 (0.611)	Data 0.001 (0.004)	Loss 1.5824 (1.6204)	Prec@1 55.000 (56.288)	Prec@5 86.000 (84.808)
Epoch: [84][720/9018]	Time 0.627 (0.611)	Data 0.001 (0.004)	Loss 1.5461 (1.6206)	Prec@1 59.500 (56.289)	Prec@5 86.500 (84.811)
Epoch: [84][730/9018]	Time 0.619 (0.611)	Data 0.001 (0.004)	Loss 1.5810 (1.6213)	Prec@1 59.000 (56.291)	Prec@5 86.500 (84.811)
Epoch: [84][740/9018]	Time 0.602 (0.611)	Data 0.001 (0.004)	Loss 1.5665 (1.6208)	Prec@1 59.500 (56.314)	Prec@5 86.000 (84.811)
Epoch: [84][750/9018]	Time 0.602 (0.611)	Data 0.001 (0.004)	Loss 1.4416 (1.6200)	Prec@1 64.500 (56.337)	Prec@5 88.000 (84.832)
Epoch: [84][760/9018]	Time 0.620 (0.611)	Data 0.001 (0.004)	Loss 1.6229 (1.6192)	Prec@1 59.500 (56.357)	Prec@5 83.500 (84.829)
Epoch: [84][770/9018]	Time 0.597 (0.610)	Data 0.001 (0.004)	Loss 1.6084 (1.6193)	Prec@1 56.000 (56.345)	Prec@5 83.000 (84.824)
Epoch: [84][780/9018]	Time 0.598 (0.610)	Data 0.001 (0.004)	Loss 1.5014 (1.6185)	Prec@1 58.000 (56.355)	Prec@5 86.500 (84.843)
Epoch: [84][790/9018]	Time 0.597 (0.610)	Data 0.001 (0.004)	Loss 1.8888 (1.6184)	Prec@1 48.500 (56.349)	Prec@5 80.500 (84.846)
Epoch: [84][800/9018]	Time 0.613 (0.610)	Data 0.001 (0.004)	Loss 1.4863 (1.6179)	Prec@1 59.500 (56.366)	Prec@5 85.500 (84.852)
Epoch: [84][810/9018]	Time 0.597 (0.610)	Data 0.001 (0.004)	Loss 1.6227 (1.6179)	Prec@1 58.500 (56.351)	Prec@5 87.000 (84.855)
Epoch: [84][820/9018]	Time 0.688 (0.610)	Data 0.001 (0.003)	Loss 1.5840 (1.6181)	Prec@1 63.500 (56.347)	Prec@5 83.000 (84.858)
Epoch: [84][830/9018]	Time 0.603 (0.610)	Data 0.001 (0.003)	Loss 1.5287 (1.6184)	Prec@1 61.000 (56.357)	Prec@5 84.500 (84.851)
Epoch: [84][840/9018]	Time 0.604 (0.610)	Data 0.001 (0.003)	Loss 1.6226 (1.6185)	Prec@1 59.500 (56.361)	Prec@5 86.000 (84.854)
Epoch: [84][850/9018]	Time 0.598 (0.610)	Data 0.001 (0.003)	Loss 1.3552 (1.6182)	Prec@1 66.000 (56.381)	Prec@5 88.000 (84.857)
Epoch: [84][860/9018]	Time 0.602 (0.610)	Data 0.001 (0.003)	Loss 1.6293 (1.6183)	Prec@1 54.000 (56.377)	Prec@5 84.000 (84.850)
Epoch: [84][870/9018]	Time 0.721 (0.610)	Data 0.001 (0.003)	Loss 1.5336 (1.6175)	Prec@1 57.500 (56.369)	Prec@5 85.000 (84.865)
Epoch: [84][880/9018]	Time 0.612 (0.610)	Data 0.001 (0.003)	Loss 1.7341 (1.6177)	Prec@1 57.500 (56.360)	Prec@5 82.500 (84.864)
Epoch: [84][890/9018]	Time 0.604 (0.610)	Data 0.001 (0.003)	Loss 1.7444 (1.6176)	Prec@1 60.500 (56.374)	Prec@5 81.500 (84.863)
Epoch: [84][900/9018]	Time 0.610 (0.610)	Data 0.001 (0.003)	Loss 1.7221 (1.6181)	Prec@1 54.500 (56.352)	Prec@5 79.000 (84.853)
Epoch: [84][910/9018]	Time 0.600 (0.610)	Data 0.001 (0.003)	Loss 1.4516 (1.6186)	Prec@1 58.500 (56.340)	Prec@5 87.000 (84.840)
Epoch: [84][920/9018]	Time 0.598 (0.610)	Data 0.001 (0.003)	Loss 1.5374 (1.6183)	Prec@1 54.000 (56.352)	Prec@5 85.500 (84.842)
Epoch: [84][930/9018]	Time 0.605 (0.610)	Data 0.001 (0.003)	Loss 1.7128 (1.6181)	Prec@1 57.000 (56.356)	Prec@5 80.500 (84.842)
Epoch: [84][940/9018]	Time 0.597 (0.610)	Data 0.001 (0.003)	Loss 1.6993 (1.6177)	Prec@1 54.000 (56.347)	Prec@5 85.000 (84.852)
Epoch: [84][950/9018]	Time 0.603 (0.610)	Data 0.001 (0.003)	Loss 1.6616 (1.6177)	Prec@1 56.500 (56.352)	Prec@5 86.500 (84.864)
Epoch: [84][960/9018]	Time 0.598 (0.610)	Data 0.001 (0.003)	Loss 1.7484 (1.6180)	Prec@1 55.000 (56.336)	Prec@5 85.500 (84.864)
Epoch: [84][970/9018]	Time 0.601 (0.610)	Data 0.001 (0.003)	Loss 1.7759 (1.6189)	Prec@1 52.500 (56.319)	Prec@5 83.500 (84.847)
Epoch: [84][980/9018]	Time 0.595 (0.610)	Data 0.001 (0.003)	Loss 1.7528 (1.6198)	Prec@1 57.000 (56.312)	Prec@5 79.500 (84.823)
Epoch: [84][990/9018]	Time 0.599 (0.610)	Data 0.001 (0.003)	Loss 1.4263 (1.6188)	Prec@1 60.500 (56.331)	Prec@5 88.500 (84.847)
Epoch: [84][1000/9018]	Time 0.611 (0.610)	Data 0.001 (0.003)	Loss 1.6698 (1.6195)	Prec@1 56.000 (56.328)	Prec@5 85.000 (84.835)
Epoch: [84][1010/9018]	Time 0.627 (0.610)	Data 0.001 (0.003)	Loss 1.4956 (1.6196)	Prec@1 63.000 (56.329)	Prec@5 86.500 (84.824)
Epoch: [84][1020/9018]	Time 0.612 (0.610)	Data 0.001 (0.003)	Loss 1.4485 (1.6195)	Prec@1 62.500 (56.337)	Prec@5 87.000 (84.821)
Epoch: [84][1030/9018]	Time 0.598 (0.610)	Data 0.001 (0.003)	Loss 1.5275 (1.6198)	Prec@1 58.000 (56.333)	Prec@5 81.500 (84.811)
Epoch: [84][1040/9018]	Time 0.606 (0.610)	Data 0.001 (0.003)	Loss 1.6796 (1.6197)	Prec@1 55.500 (56.332)	Prec@5 85.500 (84.814)
Epoch: [84][1050/9018]	Time 0.598 (0.610)	Data 0.001 (0.003)	Loss 1.7010 (1.6198)	Prec@1 51.500 (56.329)	Prec@5 80.500 (84.807)
Epoch: [84][1060/9018]	Time 0.601 (0.610)	Data 0.001 (0.003)	Loss 1.7898 (1.6202)	Prec@1 54.500 (56.311)	Prec@5 81.500 (84.811)
Epoch: [84][1070/9018]	Time 0.599 (0.610)	Data 0.001 (0.003)	Loss 1.7633 (1.6210)	Prec@1 51.500 (56.296)	Prec@5 84.500 (84.803)
Epoch: [84][1080/9018]	Time 0.623 (0.610)	Data 0.001 (0.003)	Loss 1.6262 (1.6209)	Prec@1 59.500 (56.304)	Prec@5 83.500 (84.806)
Epoch: [84][1090/9018]	Time 0.589 (0.610)	Data 0.001 (0.003)	Loss 1.6085 (1.6214)	Prec@1 59.000 (56.293)	Prec@5 85.000 (84.798)
Epoch: [84][1100/9018]	Time 0.601 (0.610)	Data 0.001 (0.003)	Loss 1.7927 (1.6221)	Prec@1 52.000 (56.272)	Prec@5 84.500 (84.787)
Epoch: [84][1110/9018]	Time 0.597 (0.610)	Data 0.001 (0.003)	Loss 1.5591 (1.6222)	Prec@1 57.500 (56.274)	Prec@5 86.000 (84.784)
Epoch: [84][1120/9018]	Time 0.601 (0.610)	Data 0.001 (0.003)	Loss 1.7502 (1.6217)	Prec@1 53.000 (56.279)	Prec@5 84.500 (84.793)
Epoch: [84][1130/9018]	Time 0.599 (0.610)	Data 0.001 (0.003)	Loss 1.5751 (1.6213)	Prec@1 58.500 (56.291)	Prec@5 85.500 (84.798)
Epoch: [84][1140/9018]	Time 0.609 (0.610)	Data 0.001 (0.003)	Loss 1.5891 (1.6208)	Prec@1 60.000 (56.306)	Prec@5 84.000 (84.802)
Epoch: [84][1150/9018]	Time 0.714 (0.610)	Data 0.001 (0.003)	Loss 1.4492 (1.6204)	Prec@1 59.000 (56.318)	Prec@5 85.500 (84.799)
Epoch: [84][1160/9018]	Time 0.626 (0.610)	Data 0.001 (0.003)	Loss 1.6467 (1.6204)	Prec@1 57.000 (56.318)	Prec@5 85.000 (84.799)
Epoch: [84][1170/9018]	Time 0.597 (0.610)	Data 0.001 (0.003)	Loss 1.7494 (1.6202)	Prec@1 54.000 (56.329)	Prec@5 85.000 (84.809)
Epoch: [84][1180/9018]	Time 0.620 (0.610)	Data 0.001 (0.003)	Loss 1.5303 (1.6201)	Prec@1 54.500 (56.326)	Prec@5 85.000 (84.807)
Epoch: [84][1190/9018]	Time 0.598 (0.610)	Data 0.001 (0.003)	Loss 1.8244 (1.6206)	Prec@1 52.500 (56.311)	Prec@5 82.500 (84.805)
Epoch: [84][1200/9018]	Time 0.712 (0.610)	Data 0.001 (0.003)	Loss 1.6179 (1.6207)	Prec@1 57.000 (56.303)	Prec@5 86.500 (84.816)
Epoch: [84][1210/9018]	Time 0.599 (0.610)	Data 0.001 (0.003)	Loss 1.7580 (1.6205)	Prec@1 51.000 (56.301)	Prec@5 81.500 (84.818)
Epoch: [84][1220/9018]	Time 0.600 (0.610)	Data 0.001 (0.003)	Loss 1.8413 (1.6208)	Prec@1 52.500 (56.290)	Prec@5 80.500 (84.816)
Epoch: [84][1230/9018]	Time 0.604 (0.610)	Data 0.001 (0.003)	Loss 1.4948 (1.6208)	Prec@1 57.000 (56.284)	Prec@5 86.500 (84.819)
Epoch: [84][1240/9018]	Time 0.592 (0.610)	Data 0.001 (0.003)	Loss 1.6026 (1.6210)	Prec@1 54.000 (56.274)	Prec@5 88.000 (84.818)
Epoch: [84][1250/9018]	Time 0.619 (0.610)	Data 0.001 (0.003)	Loss 1.5390 (1.6207)	Prec@1 57.000 (56.280)	Prec@5 87.000 (84.821)
Epoch: [84][1260/9018]	Time 0.630 (0.610)	Data 0.001 (0.003)	Loss 1.4261 (1.6205)	Prec@1 59.500 (56.285)	Prec@5 88.500 (84.824)
Epoch: [84][1270/9018]	Time 0.596 (0.610)	Data 0.001 (0.003)	Loss 1.8504 (1.6209)	Prec@1 48.000 (56.272)	Prec@5 81.500 (84.823)
Epoch: [84][1280/9018]	Time 0.630 (0.610)	Data 0.001 (0.003)	Loss 1.4334 (1.6209)	Prec@1 59.000 (56.274)	Prec@5 86.000 (84.821)
Epoch: [84][1290/9018]	Time 0.641 (0.610)	Data 0.001 (0.002)	Loss 1.5459 (1.6209)	Prec@1 56.500 (56.279)	Prec@5 86.000 (84.820)
Epoch: [84][1300/9018]	Time 0.604 (0.610)	Data 0.001 (0.002)	Loss 1.5968 (1.6208)	Prec@1 54.000 (56.281)	Prec@5 86.500 (84.822)
Epoch: [84][1310/9018]	Time 0.605 (0.610)	Data 0.001 (0.002)	Loss 1.6788 (1.6213)	Prec@1 56.000 (56.271)	Prec@5 85.000 (84.818)
Epoch: [84][1320/9018]	Time 0.604 (0.610)	Data 0.001 (0.002)	Loss 1.6029 (1.6218)	Prec@1 59.000 (56.260)	Prec@5 85.500 (84.811)
Epoch: [84][1330/9018]	Time 0.614 (0.610)	Data 0.001 (0.002)	Loss 1.7118 (1.6218)	Prec@1 55.500 (56.252)	Prec@5 80.000 (84.810)
Epoch: [84][1340/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 1.4743 (1.6222)	Prec@1 59.000 (56.236)	Prec@5 88.000 (84.803)
Epoch: [84][1350/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 1.7169 (1.6221)	Prec@1 53.500 (56.240)	Prec@5 82.500 (84.807)
Epoch: [84][1360/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.7128 (1.6224)	Prec@1 54.500 (56.230)	Prec@5 81.500 (84.797)
Epoch: [84][1370/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.5892 (1.6225)	Prec@1 58.000 (56.233)	Prec@5 85.000 (84.794)
Epoch: [84][1380/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.4077 (1.6226)	Prec@1 59.000 (56.235)	Prec@5 90.000 (84.793)
Epoch: [84][1390/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.7336 (1.6230)	Prec@1 50.000 (56.232)	Prec@5 86.500 (84.786)
Epoch: [84][1400/9018]	Time 0.633 (0.611)	Data 0.001 (0.002)	Loss 1.4823 (1.6227)	Prec@1 60.500 (56.239)	Prec@5 84.000 (84.789)
Epoch: [84][1410/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.6963 (1.6225)	Prec@1 53.500 (56.238)	Prec@5 81.500 (84.792)
Epoch: [84][1420/9018]	Time 0.612 (0.611)	Data 0.001 (0.002)	Loss 1.9103 (1.6226)	Prec@1 49.500 (56.237)	Prec@5 77.500 (84.784)
Epoch: [84][1430/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.8538 (1.6228)	Prec@1 50.000 (56.237)	Prec@5 82.000 (84.782)
Epoch: [84][1440/9018]	Time 0.621 (0.611)	Data 0.001 (0.002)	Loss 1.6970 (1.6227)	Prec@1 52.500 (56.250)	Prec@5 83.500 (84.783)
Epoch: [84][1450/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 1.5158 (1.6226)	Prec@1 62.500 (56.255)	Prec@5 89.000 (84.789)
Epoch: [84][1460/9018]	Time 0.629 (0.611)	Data 0.001 (0.002)	Loss 1.5567 (1.6223)	Prec@1 56.500 (56.261)	Prec@5 84.000 (84.790)
Epoch: [84][1470/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.3840 (1.6226)	Prec@1 60.000 (56.253)	Prec@5 88.500 (84.786)
Epoch: [84][1480/9018]	Time 0.728 (0.611)	Data 0.001 (0.002)	Loss 1.2527 (1.6218)	Prec@1 67.500 (56.273)	Prec@5 90.000 (84.796)
Epoch: [84][1490/9018]	Time 0.615 (0.611)	Data 0.001 (0.002)	Loss 1.6007 (1.6221)	Prec@1 56.000 (56.269)	Prec@5 85.500 (84.789)
Epoch: [84][1500/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.5775 (1.6219)	Prec@1 60.000 (56.284)	Prec@5 85.000 (84.789)
Epoch: [84][1510/9018]	Time 0.614 (0.611)	Data 0.001 (0.002)	Loss 1.3991 (1.6220)	Prec@1 62.500 (56.282)	Prec@5 85.500 (84.787)
Epoch: [84][1520/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 1.7715 (1.6219)	Prec@1 57.000 (56.287)	Prec@5 80.500 (84.782)
Epoch: [84][1530/9018]	Time 0.731 (0.611)	Data 0.001 (0.002)	Loss 1.5272 (1.6217)	Prec@1 54.500 (56.286)	Prec@5 84.500 (84.782)
Epoch: [84][1540/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 1.6467 (1.6215)	Prec@1 56.000 (56.288)	Prec@5 84.000 (84.789)
Epoch: [84][1550/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.5039 (1.6214)	Prec@1 59.500 (56.296)	Prec@5 85.500 (84.791)
Epoch: [84][1560/9018]	Time 0.626 (0.611)	Data 0.001 (0.002)	Loss 1.5869 (1.6212)	Prec@1 54.500 (56.297)	Prec@5 86.500 (84.794)
Epoch: [84][1570/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.8238 (1.6217)	Prec@1 55.000 (56.279)	Prec@5 81.000 (84.787)
Epoch: [84][1580/9018]	Time 0.617 (0.611)	Data 0.001 (0.002)	Loss 1.5761 (1.6216)	Prec@1 58.500 (56.272)	Prec@5 84.500 (84.790)
Epoch: [84][1590/9018]	Time 0.591 (0.611)	Data 0.001 (0.002)	Loss 1.5508 (1.6215)	Prec@1 57.000 (56.273)	Prec@5 87.000 (84.789)
Epoch: [84][1600/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.5879 (1.6215)	Prec@1 57.000 (56.273)	Prec@5 85.000 (84.791)
Epoch: [84][1610/9018]	Time 0.634 (0.611)	Data 0.001 (0.002)	Loss 1.5094 (1.6214)	Prec@1 59.000 (56.269)	Prec@5 86.000 (84.793)
Epoch: [84][1620/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.4119 (1.6217)	Prec@1 60.500 (56.258)	Prec@5 88.000 (84.788)
Epoch: [84][1630/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 1.5150 (1.6213)	Prec@1 53.500 (56.264)	Prec@5 88.000 (84.794)
Epoch: [84][1640/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 1.7375 (1.6213)	Prec@1 51.000 (56.271)	Prec@5 85.500 (84.798)
Epoch: [84][1650/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.4873 (1.6208)	Prec@1 59.500 (56.286)	Prec@5 86.500 (84.808)
Epoch: [84][1660/9018]	Time 0.624 (0.611)	Data 0.001 (0.002)	Loss 1.5643 (1.6209)	Prec@1 59.500 (56.283)	Prec@5 83.000 (84.801)
Epoch: [84][1670/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.6728 (1.6212)	Prec@1 52.500 (56.271)	Prec@5 86.000 (84.797)
Epoch: [84][1680/9018]	Time 0.621 (0.611)	Data 0.001 (0.002)	Loss 1.4597 (1.6215)	Prec@1 62.500 (56.270)	Prec@5 89.000 (84.788)
Epoch: [84][1690/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 2.0133 (1.6217)	Prec@1 48.500 (56.270)	Prec@5 79.500 (84.787)
Epoch: [84][1700/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.7138 (1.6218)	Prec@1 53.000 (56.265)	Prec@5 84.500 (84.785)
Epoch: [84][1710/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.8922 (1.6219)	Prec@1 52.000 (56.263)	Prec@5 79.500 (84.787)
Epoch: [84][1720/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.7874 (1.6221)	Prec@1 51.500 (56.254)	Prec@5 81.000 (84.786)
Epoch: [84][1730/9018]	Time 0.637 (0.611)	Data 0.001 (0.002)	Loss 1.7720 (1.6223)	Prec@1 58.500 (56.249)	Prec@5 80.500 (84.783)
Epoch: [84][1740/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.8411 (1.6227)	Prec@1 49.000 (56.242)	Prec@5 80.000 (84.778)
Epoch: [84][1750/9018]	Time 0.617 (0.611)	Data 0.001 (0.002)	Loss 1.5247 (1.6224)	Prec@1 58.000 (56.248)	Prec@5 87.000 (84.789)
Epoch: [84][1760/9018]	Time 0.608 (0.611)	Data 0.001 (0.002)	Loss 1.4806 (1.6226)	Prec@1 60.000 (56.244)	Prec@5 85.000 (84.783)
Epoch: [84][1770/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.5001 (1.6229)	Prec@1 59.000 (56.241)	Prec@5 84.500 (84.776)
Epoch: [84][1780/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.6455 (1.6229)	Prec@1 54.000 (56.251)	Prec@5 85.500 (84.776)
Epoch: [84][1790/9018]	Time 0.626 (0.611)	Data 0.001 (0.002)	Loss 1.7036 (1.6229)	Prec@1 55.000 (56.244)	Prec@5 81.500 (84.778)
Epoch: [84][1800/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 1.5721 (1.6235)	Prec@1 57.000 (56.240)	Prec@5 84.500 (84.767)
Epoch: [84][1810/9018]	Time 0.718 (0.612)	Data 0.001 (0.002)	Loss 1.5626 (1.6236)	Prec@1 59.000 (56.234)	Prec@5 83.500 (84.760)
Epoch: [84][1820/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 1.7260 (1.6236)	Prec@1 55.500 (56.239)	Prec@5 79.500 (84.756)
Epoch: [84][1830/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 1.6844 (1.6236)	Prec@1 55.500 (56.239)	Prec@5 83.000 (84.758)
Epoch: [84][1840/9018]	Time 0.606 (0.611)	Data 0.001 (0.002)	Loss 1.5117 (1.6238)	Prec@1 55.500 (56.234)	Prec@5 84.500 (84.757)
Epoch: [84][1850/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 1.6422 (1.6236)	Prec@1 54.000 (56.236)	Prec@5 84.500 (84.758)
Epoch: [84][1860/9018]	Time 0.760 (0.612)	Data 0.001 (0.002)	Loss 1.6057 (1.6238)	Prec@1 52.000 (56.237)	Prec@5 86.500 (84.753)
Epoch: [84][1870/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 1.7788 (1.6244)	Prec@1 52.500 (56.229)	Prec@5 82.500 (84.741)
Epoch: [84][1880/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 1.4151 (1.6242)	Prec@1 59.500 (56.236)	Prec@5 87.000 (84.745)
Epoch: [84][1890/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 1.4447 (1.6242)	Prec@1 60.500 (56.232)	Prec@5 86.500 (84.746)
Epoch: [84][1900/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 1.5667 (1.6245)	Prec@1 58.500 (56.224)	Prec@5 85.000 (84.741)
Epoch: [84][1910/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.7861 (1.6244)	Prec@1 55.000 (56.225)	Prec@5 82.500 (84.744)
Epoch: [84][1920/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 1.5616 (1.6245)	Prec@1 57.000 (56.226)	Prec@5 84.500 (84.740)
Epoch: [84][1930/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 1.6759 (1.6243)	Prec@1 59.000 (56.229)	Prec@5 81.000 (84.741)
Epoch: [84][1940/9018]	Time 0.613 (0.612)	Data 0.001 (0.002)	Loss 1.7287 (1.6243)	Prec@1 52.500 (56.232)	Prec@5 81.000 (84.740)
Epoch: [84][1950/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 1.5501 (1.6244)	Prec@1 57.000 (56.230)	Prec@5 87.000 (84.737)
Epoch: [84][1960/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 1.3360 (1.6244)	Prec@1 66.500 (56.238)	Prec@5 90.000 (84.733)
Epoch: [84][1970/9018]	Time 0.622 (0.612)	Data 0.001 (0.002)	Loss 1.7985 (1.6247)	Prec@1 46.500 (56.222)	Prec@5 83.500 (84.728)
Epoch: [84][1980/9018]	Time 0.592 (0.612)	Data 0.001 (0.002)	Loss 1.4466 (1.6246)	Prec@1 59.500 (56.219)	Prec@5 88.500 (84.731)
Epoch: [84][1990/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 1.5408 (1.6247)	Prec@1 59.500 (56.220)	Prec@5 86.000 (84.727)
Epoch: [84][2000/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.7866 (1.6245)	Prec@1 54.000 (56.229)	Prec@5 81.500 (84.723)
Epoch: [84][2010/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 1.4614 (1.6246)	Prec@1 56.000 (56.220)	Prec@5 89.000 (84.723)
Epoch: [84][2020/9018]	Time 0.633 (0.612)	Data 0.001 (0.002)	Loss 1.5992 (1.6245)	Prec@1 55.000 (56.222)	Prec@5 86.000 (84.725)
Epoch: [84][2030/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.8663 (1.6242)	Prec@1 51.500 (56.229)	Prec@5 81.000 (84.731)
Epoch: [84][2040/9018]	Time 0.625 (0.612)	Data 0.001 (0.002)	Loss 1.7134 (1.6243)	Prec@1 57.000 (56.231)	Prec@5 82.000 (84.727)
Epoch: [84][2050/9018]	Time 0.609 (0.612)	Data 0.001 (0.002)	Loss 1.5354 (1.6244)	Prec@1 58.500 (56.229)	Prec@5 88.000 (84.730)
Epoch: [84][2060/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.6907 (1.6245)	Prec@1 55.000 (56.230)	Prec@5 85.500 (84.726)
Epoch: [84][2070/9018]	Time 0.629 (0.612)	Data 0.001 (0.002)	Loss 1.6735 (1.6249)	Prec@1 54.000 (56.217)	Prec@5 82.000 (84.723)
Epoch: [84][2080/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 1.7120 (1.6249)	Prec@1 55.000 (56.216)	Prec@5 84.500 (84.722)
Epoch: [84][2090/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 1.7253 (1.6249)	Prec@1 56.000 (56.215)	Prec@5 80.500 (84.717)
Epoch: [84][2100/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 1.6135 (1.6250)	Prec@1 55.500 (56.209)	Prec@5 84.000 (84.712)
Epoch: [84][2110/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.8024 (1.6253)	Prec@1 51.500 (56.202)	Prec@5 81.000 (84.704)
Epoch: [84][2120/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 1.4269 (1.6250)	Prec@1 60.500 (56.210)	Prec@5 86.000 (84.708)
Epoch: [84][2130/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.5632 (1.6247)	Prec@1 56.000 (56.210)	Prec@5 86.000 (84.711)
Epoch: [84][2140/9018]	Time 0.684 (0.612)	Data 0.001 (0.002)	Loss 1.6977 (1.6247)	Prec@1 53.500 (56.211)	Prec@5 82.500 (84.710)
Epoch: [84][2150/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.8034 (1.6248)	Prec@1 52.000 (56.212)	Prec@5 80.500 (84.707)
Epoch: [84][2160/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 1.6397 (1.6249)	Prec@1 55.000 (56.207)	Prec@5 88.500 (84.709)
Epoch: [84][2170/9018]	Time 0.628 (0.612)	Data 0.001 (0.002)	Loss 1.5389 (1.6250)	Prec@1 57.000 (56.214)	Prec@5 86.500 (84.711)
Epoch: [84][2180/9018]	Time 0.627 (0.612)	Data 0.001 (0.002)	Loss 1.7403 (1.6249)	Prec@1 50.500 (56.211)	Prec@5 81.000 (84.713)
Epoch: [84][2190/9018]	Time 0.713 (0.612)	Data 0.001 (0.002)	Loss 1.6220 (1.6250)	Prec@1 57.500 (56.209)	Prec@5 85.000 (84.712)
Epoch: [84][2200/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 1.6119 (1.6252)	Prec@1 55.500 (56.212)	Prec@5 82.500 (84.708)
Epoch: [84][2210/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 1.7783 (1.6255)	Prec@1 53.000 (56.205)	Prec@5 80.500 (84.706)
Epoch: [84][2220/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 1.4461 (1.6255)	Prec@1 62.000 (56.212)	Prec@5 88.000 (84.704)
Epoch: [84][2230/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 1.4076 (1.6254)	Prec@1 63.500 (56.214)	Prec@5 87.000 (84.706)
Epoch: [84][2240/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 1.7332 (1.6252)	Prec@1 56.500 (56.222)	Prec@5 82.000 (84.714)
Epoch: [84][2250/9018]	Time 0.631 (0.612)	Data 0.001 (0.002)	Loss 1.5540 (1.6250)	Prec@1 60.000 (56.235)	Prec@5 86.000 (84.715)
Epoch: [84][2260/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.4592 (1.6248)	Prec@1 61.000 (56.242)	Prec@5 85.500 (84.718)
Epoch: [84][2270/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 1.6945 (1.6249)	Prec@1 53.500 (56.239)	Prec@5 82.500 (84.714)
Epoch: [84][2280/9018]	Time 0.618 (0.612)	Data 0.001 (0.002)	Loss 1.6513 (1.6249)	Prec@1 56.500 (56.237)	Prec@5 83.500 (84.715)
Epoch: [84][2290/9018]	Time 0.618 (0.612)	Data 0.001 (0.002)	Loss 1.5848 (1.6249)	Prec@1 55.000 (56.241)	Prec@5 87.000 (84.716)
Epoch: [84][2300/9018]	Time 0.615 (0.612)	Data 0.001 (0.002)	Loss 1.5010 (1.6248)	Prec@1 59.500 (56.242)	Prec@5 87.500 (84.721)
Epoch: [84][2310/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.3996 (1.6247)	Prec@1 64.000 (56.241)	Prec@5 89.500 (84.724)
Epoch: [84][2320/9018]	Time 0.623 (0.612)	Data 0.001 (0.002)	Loss 1.5511 (1.6247)	Prec@1 60.000 (56.239)	Prec@5 86.500 (84.725)
Epoch: [84][2330/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 1.7201 (1.6248)	Prec@1 54.500 (56.237)	Prec@5 84.000 (84.725)
Epoch: [84][2340/9018]	Time 0.622 (0.612)	Data 0.001 (0.002)	Loss 1.6044 (1.6249)	Prec@1 57.000 (56.234)	Prec@5 86.000 (84.727)
Epoch: [84][2350/9018]	Time 0.615 (0.612)	Data 0.001 (0.002)	Loss 1.5744 (1.6250)	Prec@1 57.000 (56.233)	Prec@5 88.000 (84.727)
Epoch: [84][2360/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 1.7422 (1.6251)	Prec@1 51.500 (56.230)	Prec@5 82.500 (84.724)
Epoch: [84][2370/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 1.7642 (1.6255)	Prec@1 56.000 (56.221)	Prec@5 79.500 (84.712)
Epoch: [84][2380/9018]	Time 0.628 (0.612)	Data 0.001 (0.002)	Loss 1.5103 (1.6255)	Prec@1 57.500 (56.216)	Prec@5 87.000 (84.713)
Epoch: [84][2390/9018]	Time 0.593 (0.612)	Data 0.001 (0.002)	Loss 1.5871 (1.6257)	Prec@1 54.500 (56.213)	Prec@5 86.000 (84.709)
Epoch: [84][2400/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 1.8851 (1.6258)	Prec@1 48.500 (56.207)	Prec@5 80.500 (84.706)
Epoch: [84][2410/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 1.8088 (1.6257)	Prec@1 54.000 (56.210)	Prec@5 81.000 (84.706)
Epoch: [84][2420/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.6090 (1.6256)	Prec@1 53.000 (56.210)	Prec@5 87.000 (84.707)
Epoch: [84][2430/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 1.5595 (1.6254)	Prec@1 58.000 (56.213)	Prec@5 86.000 (84.709)
Epoch: [84][2440/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 1.4340 (1.6254)	Prec@1 61.000 (56.210)	Prec@5 87.500 (84.706)
Epoch: [84][2450/9018]	Time 0.593 (0.612)	Data 0.001 (0.002)	Loss 1.7937 (1.6254)	Prec@1 53.500 (56.210)	Prec@5 81.500 (84.704)
Epoch: [84][2460/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.6012 (1.6255)	Prec@1 53.000 (56.208)	Prec@5 85.500 (84.700)
Epoch: [84][2470/9018]	Time 0.734 (0.612)	Data 0.001 (0.002)	Loss 1.7065 (1.6257)	Prec@1 58.500 (56.206)	Prec@5 80.500 (84.693)
Epoch: [84][2480/9018]	Time 0.614 (0.612)	Data 0.001 (0.002)	Loss 1.5567 (1.6260)	Prec@1 60.500 (56.200)	Prec@5 85.000 (84.687)
Epoch: [84][2490/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 1.6574 (1.6262)	Prec@1 55.500 (56.197)	Prec@5 83.000 (84.687)
Epoch: [84][2500/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 1.6243 (1.6263)	Prec@1 55.000 (56.192)	Prec@5 86.000 (84.688)
Epoch: [84][2510/9018]	Time 0.603 (0.612)	Data 0.001 (0.002)	Loss 1.6368 (1.6263)	Prec@1 56.000 (56.188)	Prec@5 84.500 (84.689)
Epoch: [84][2520/9018]	Time 0.734 (0.612)	Data 0.001 (0.002)	Loss 1.8029 (1.6264)	Prec@1 52.500 (56.191)	Prec@5 82.500 (84.690)
Epoch: [84][2530/9018]	Time 0.613 (0.612)	Data 0.001 (0.002)	Loss 1.6571 (1.6265)	Prec@1 58.500 (56.191)	Prec@5 84.000 (84.686)
Epoch: [84][2540/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 1.4999 (1.6266)	Prec@1 60.500 (56.187)	Prec@5 85.000 (84.688)
Epoch: [84][2550/9018]	Time 0.616 (0.612)	Data 0.001 (0.002)	Loss 1.7084 (1.6265)	Prec@1 58.000 (56.194)	Prec@5 81.500 (84.691)
Epoch: [84][2560/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 1.4977 (1.6267)	Prec@1 58.000 (56.189)	Prec@5 85.500 (84.686)
Epoch: [84][2570/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.5499 (1.6268)	Prec@1 55.500 (56.186)	Prec@5 86.500 (84.686)
Epoch: [84][2580/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 1.3494 (1.6268)	Prec@1 65.000 (56.183)	Prec@5 89.000 (84.688)
Epoch: [84][2590/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 1.9361 (1.6268)	Prec@1 50.500 (56.184)	Prec@5 80.000 (84.690)
Epoch: [84][2600/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.6032 (1.6266)	Prec@1 55.500 (56.185)	Prec@5 85.000 (84.694)
Epoch: [84][2610/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.5629 (1.6265)	Prec@1 56.500 (56.189)	Prec@5 86.000 (84.700)
Epoch: [84][2620/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 1.6852 (1.6265)	Prec@1 60.000 (56.190)	Prec@5 86.000 (84.700)
Epoch: [84][2630/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 1.5077 (1.6264)	Prec@1 58.000 (56.192)	Prec@5 88.500 (84.702)
Epoch: [84][2640/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 1.6448 (1.6265)	Prec@1 57.500 (56.190)	Prec@5 81.500 (84.702)
Epoch: [84][2650/9018]	Time 0.611 (0.612)	Data 0.001 (0.002)	Loss 1.7121 (1.6268)	Prec@1 58.000 (56.186)	Prec@5 83.500 (84.695)
Epoch: [84][2660/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 1.7676 (1.6265)	Prec@1 50.500 (56.193)	Prec@5 83.000 (84.700)
Epoch: [84][2670/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 1.6218 (1.6265)	Prec@1 56.500 (56.190)	Prec@5 84.500 (84.700)
Epoch: [84][2680/9018]	Time 0.614 (0.612)	Data 0.001 (0.002)	Loss 1.8392 (1.6268)	Prec@1 51.000 (56.181)	Prec@5 82.000 (84.698)
Epoch: [84][2690/9018]	Time 0.593 (0.612)	Data 0.001 (0.002)	Loss 1.4455 (1.6267)	Prec@1 56.000 (56.186)	Prec@5 86.500 (84.695)
Epoch: [84][2700/9018]	Time 0.639 (0.612)	Data 0.001 (0.002)	Loss 1.7873 (1.6268)	Prec@1 52.500 (56.181)	Prec@5 80.000 (84.692)
Epoch: [84][2710/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 1.6039 (1.6269)	Prec@1 61.000 (56.180)	Prec@5 89.000 (84.692)
Epoch: [84][2720/9018]	Time 0.618 (0.612)	Data 0.001 (0.002)	Loss 1.6151 (1.6269)	Prec@1 57.000 (56.183)	Prec@5 87.000 (84.694)
Epoch: [84][2730/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 1.5342 (1.6267)	Prec@1 62.000 (56.185)	Prec@5 84.500 (84.696)
Epoch: [84][2740/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.8501 (1.6267)	Prec@1 54.000 (56.187)	Prec@5 79.500 (84.692)
Epoch: [84][2750/9018]	Time 0.623 (0.612)	Data 0.001 (0.002)	Loss 1.5907 (1.6268)	Prec@1 55.500 (56.185)	Prec@5 86.000 (84.691)
Epoch: [84][2760/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.6570 (1.6268)	Prec@1 52.500 (56.183)	Prec@5 82.500 (84.686)
Epoch: [84][2770/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 1.6166 (1.6270)	Prec@1 56.500 (56.179)	Prec@5 83.500 (84.684)
Epoch: [84][2780/9018]	Time 0.623 (0.612)	Data 0.001 (0.002)	Loss 1.5394 (1.6270)	Prec@1 56.500 (56.178)	Prec@5 86.500 (84.684)
Epoch: [84][2790/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 1.7708 (1.6272)	Prec@1 51.500 (56.175)	Prec@5 85.000 (84.678)
Epoch: [84][2800/9018]	Time 0.692 (0.612)	Data 0.001 (0.002)	Loss 1.6984 (1.6272)	Prec@1 58.500 (56.178)	Prec@5 84.000 (84.682)
Epoch: [84][2810/9018]	Time 0.608 (0.612)	Data 0.001 (0.002)	Loss 1.6459 (1.6274)	Prec@1 55.500 (56.177)	Prec@5 84.500 (84.680)
Epoch: [84][2820/9018]	Time 0.613 (0.612)	Data 0.001 (0.002)	Loss 1.4123 (1.6275)	Prec@1 59.500 (56.175)	Prec@5 89.000 (84.678)
Epoch: [84][2830/9018]	Time 0.634 (0.612)	Data 0.001 (0.002)	Loss 1.6352 (1.6275)	Prec@1 55.000 (56.176)	Prec@5 83.500 (84.676)
Epoch: [84][2840/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 1.7553 (1.6276)	Prec@1 51.500 (56.175)	Prec@5 85.500 (84.675)
Epoch: [84][2850/9018]	Time 0.684 (0.612)	Data 0.001 (0.002)	Loss 1.5267 (1.6275)	Prec@1 54.500 (56.171)	Prec@5 87.000 (84.677)
Epoch: [84][2860/9018]	Time 0.625 (0.612)	Data 0.001 (0.002)	Loss 1.5973 (1.6276)	Prec@1 56.500 (56.173)	Prec@5 84.000 (84.673)
Epoch: [84][2870/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 1.6994 (1.6275)	Prec@1 53.500 (56.172)	Prec@5 82.500 (84.676)
Epoch: [84][2880/9018]	Time 0.591 (0.612)	Data 0.001 (0.002)	Loss 1.5040 (1.6275)	Prec@1 57.000 (56.173)	Prec@5 86.000 (84.675)
Epoch: [84][2890/9018]	Time 0.639 (0.612)	Data 0.001 (0.002)	Loss 1.7886 (1.6276)	Prec@1 55.500 (56.175)	Prec@5 82.500 (84.672)
Epoch: [84][2900/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 1.5344 (1.6276)	Prec@1 58.000 (56.173)	Prec@5 85.500 (84.675)
Epoch: [84][2910/9018]	Time 0.606 (0.612)	Data 0.001 (0.002)	Loss 1.5581 (1.6275)	Prec@1 61.000 (56.179)	Prec@5 84.500 (84.676)
Epoch: [84][2920/9018]	Time 0.621 (0.612)	Data 0.001 (0.002)	Loss 1.6335 (1.6275)	Prec@1 57.000 (56.181)	Prec@5 85.500 (84.675)
Epoch: [84][2930/9018]	Time 0.602 (0.612)	Data 0.001 (0.002)	Loss 1.6169 (1.6275)	Prec@1 55.000 (56.178)	Prec@5 85.000 (84.673)
Epoch: [84][2940/9018]	Time 0.632 (0.612)	Data 0.001 (0.001)	Loss 1.5184 (1.6275)	Prec@1 61.500 (56.182)	Prec@5 82.500 (84.673)
Epoch: [84][2950/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 1.5396 (1.6273)	Prec@1 57.000 (56.189)	Prec@5 86.500 (84.676)
Epoch: [84][2960/9018]	Time 0.607 (0.612)	Data 0.001 (0.001)	Loss 1.4157 (1.6273)	Prec@1 63.000 (56.193)	Prec@5 85.000 (84.674)
Epoch: [84][2970/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 1.6779 (1.6276)	Prec@1 55.500 (56.186)	Prec@5 85.000 (84.665)
Epoch: [84][2980/9018]	Time 0.617 (0.612)	Data 0.001 (0.001)	Loss 1.4597 (1.6275)	Prec@1 59.500 (56.188)	Prec@5 86.500 (84.665)
Epoch: [84][2990/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 1.5134 (1.6276)	Prec@1 56.500 (56.191)	Prec@5 88.000 (84.662)
Epoch: [84][3000/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 1.5601 (1.6276)	Prec@1 61.000 (56.189)	Prec@5 84.000 (84.660)
Epoch: [84][3010/9018]	Time 0.616 (0.612)	Data 0.001 (0.001)	Loss 1.6062 (1.6277)	Prec@1 53.500 (56.181)	Prec@5 85.000 (84.657)
Epoch: [84][3020/9018]	Time 0.603 (0.612)	Data 0.001 (0.001)	Loss 1.6829 (1.6278)	Prec@1 54.000 (56.180)	Prec@5 84.000 (84.657)
Epoch: [84][3030/9018]	Time 0.595 (0.612)	Data 0.001 (0.001)	Loss 1.8403 (1.6276)	Prec@1 52.000 (56.183)	Prec@5 79.500 (84.660)
Epoch: [84][3040/9018]	Time 0.600 (0.612)	Data 0.001 (0.001)	Loss 1.6208 (1.6276)	Prec@1 56.000 (56.181)	Prec@5 85.000 (84.660)
Epoch: [84][3050/9018]	Time 0.622 (0.612)	Data 0.001 (0.001)	Loss 1.6163 (1.6277)	Prec@1 57.000 (56.180)	Prec@5 84.000 (84.658)
Epoch: [84][3060/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.5711 (1.6277)	Prec@1 60.000 (56.181)	Prec@5 84.000 (84.658)
Epoch: [84][3070/9018]	Time 0.625 (0.612)	Data 0.001 (0.001)	Loss 1.4283 (1.6278)	Prec@1 61.000 (56.179)	Prec@5 85.500 (84.656)
Epoch: [84][3080/9018]	Time 0.592 (0.612)	Data 0.001 (0.001)	Loss 1.6596 (1.6277)	Prec@1 54.000 (56.178)	Prec@5 87.500 (84.658)
Epoch: [84][3090/9018]	Time 0.611 (0.612)	Data 0.001 (0.001)	Loss 1.4214 (1.6278)	Prec@1 59.000 (56.176)	Prec@5 89.000 (84.656)
Epoch: [84][3100/9018]	Time 0.593 (0.612)	Data 0.001 (0.001)	Loss 1.6056 (1.6277)	Prec@1 55.500 (56.176)	Prec@5 86.500 (84.657)
Epoch: [84][3110/9018]	Time 0.627 (0.612)	Data 0.001 (0.001)	Loss 1.6945 (1.6278)	Prec@1 53.000 (56.173)	Prec@5 83.500 (84.654)
Epoch: [84][3120/9018]	Time 0.608 (0.612)	Data 0.001 (0.001)	Loss 1.9750 (1.6279)	Prec@1 45.500 (56.164)	Prec@5 79.000 (84.651)
Epoch: [84][3130/9018]	Time 0.694 (0.612)	Data 0.001 (0.001)	Loss 1.6678 (1.6279)	Prec@1 51.500 (56.166)	Prec@5 85.500 (84.652)
Epoch: [84][3140/9018]	Time 0.606 (0.612)	Data 0.001 (0.001)	Loss 1.5001 (1.6279)	Prec@1 60.500 (56.164)	Prec@5 86.500 (84.653)
Epoch: [84][3150/9018]	Time 0.628 (0.612)	Data 0.001 (0.001)	Loss 1.6522 (1.6278)	Prec@1 50.000 (56.166)	Prec@5 85.000 (84.655)
Epoch: [84][3160/9018]	Time 0.617 (0.612)	Data 0.001 (0.001)	Loss 1.5096 (1.6277)	Prec@1 57.500 (56.168)	Prec@5 87.000 (84.656)
Epoch: [84][3170/9018]	Time 0.599 (0.612)	Data 0.001 (0.001)	Loss 1.6998 (1.6276)	Prec@1 54.500 (56.169)	Prec@5 82.500 (84.659)
Epoch: [84][3180/9018]	Time 0.694 (0.613)	Data 0.001 (0.001)	Loss 1.6575 (1.6274)	Prec@1 55.000 (56.174)	Prec@5 83.000 (84.660)
Epoch: [84][3190/9018]	Time 0.626 (0.612)	Data 0.001 (0.001)	Loss 1.4142 (1.6273)	Prec@1 60.500 (56.180)	Prec@5 90.000 (84.663)
Epoch: [84][3200/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.6782 (1.6273)	Prec@1 53.000 (56.177)	Prec@5 84.500 (84.663)
Epoch: [84][3210/9018]	Time 0.601 (0.612)	Data 0.001 (0.001)	Loss 1.7804 (1.6275)	Prec@1 54.000 (56.172)	Prec@5 83.000 (84.661)
Epoch: [84][3220/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.8046 (1.6275)	Prec@1 57.000 (56.175)	Prec@5 80.000 (84.658)
Epoch: [84][3230/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.4464 (1.6275)	Prec@1 64.000 (56.177)	Prec@5 84.500 (84.656)
Epoch: [84][3240/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.6710 (1.6274)	Prec@1 57.500 (56.177)	Prec@5 82.500 (84.660)
Epoch: [84][3250/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.4894 (1.6273)	Prec@1 61.000 (56.185)	Prec@5 88.000 (84.661)
Epoch: [84][3260/9018]	Time 0.619 (0.613)	Data 0.001 (0.001)	Loss 1.6945 (1.6273)	Prec@1 56.000 (56.185)	Prec@5 83.500 (84.661)
Epoch: [84][3270/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.6392 (1.6273)	Prec@1 56.000 (56.184)	Prec@5 84.500 (84.661)
Epoch: [84][3280/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 1.5457 (1.6273)	Prec@1 59.500 (56.183)	Prec@5 87.500 (84.663)
Epoch: [84][3290/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 1.6776 (1.6272)	Prec@1 55.500 (56.186)	Prec@5 84.500 (84.664)
Epoch: [84][3300/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6227 (1.6272)	Prec@1 51.000 (56.184)	Prec@5 86.500 (84.665)
Epoch: [84][3310/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 1.5689 (1.6271)	Prec@1 56.500 (56.185)	Prec@5 87.500 (84.666)
Epoch: [84][3320/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.6538 (1.6272)	Prec@1 54.500 (56.178)	Prec@5 84.000 (84.667)
Epoch: [84][3330/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.6643 (1.6272)	Prec@1 58.000 (56.180)	Prec@5 82.500 (84.666)
Epoch: [84][3340/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.8208 (1.6273)	Prec@1 54.000 (56.179)	Prec@5 81.500 (84.665)
Epoch: [84][3350/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.7438 (1.6275)	Prec@1 50.500 (56.176)	Prec@5 80.500 (84.662)
Epoch: [84][3360/9018]	Time 0.619 (0.613)	Data 0.001 (0.001)	Loss 1.6419 (1.6275)	Prec@1 50.000 (56.175)	Prec@5 88.000 (84.662)
Epoch: [84][3370/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.5100 (1.6275)	Prec@1 59.000 (56.178)	Prec@5 86.000 (84.661)
Epoch: [84][3380/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.5358 (1.6275)	Prec@1 61.000 (56.177)	Prec@5 83.500 (84.662)
Epoch: [84][3390/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.8070 (1.6274)	Prec@1 51.500 (56.179)	Prec@5 81.000 (84.664)
Epoch: [84][3400/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.5296 (1.6274)	Prec@1 61.500 (56.182)	Prec@5 86.000 (84.665)
Epoch: [84][3410/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.4868 (1.6272)	Prec@1 60.500 (56.186)	Prec@5 86.000 (84.668)
Epoch: [84][3420/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 1.5820 (1.6273)	Prec@1 56.500 (56.184)	Prec@5 84.500 (84.665)
Epoch: [84][3430/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.4830 (1.6274)	Prec@1 63.000 (56.187)	Prec@5 87.000 (84.663)
Epoch: [84][3440/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.5200 (1.6273)	Prec@1 60.000 (56.191)	Prec@5 84.500 (84.660)
Epoch: [84][3450/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.6552 (1.6272)	Prec@1 55.500 (56.189)	Prec@5 80.500 (84.662)
Epoch: [84][3460/9018]	Time 0.698 (0.613)	Data 0.001 (0.001)	Loss 1.7412 (1.6274)	Prec@1 54.000 (56.187)	Prec@5 82.000 (84.658)
Epoch: [84][3470/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6666 (1.6275)	Prec@1 53.500 (56.185)	Prec@5 82.500 (84.657)
Epoch: [84][3480/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.4913 (1.6274)	Prec@1 56.000 (56.182)	Prec@5 90.000 (84.660)
Epoch: [84][3490/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 1.7183 (1.6275)	Prec@1 55.000 (56.182)	Prec@5 82.000 (84.657)
Epoch: [84][3500/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.5428 (1.6273)	Prec@1 57.500 (56.188)	Prec@5 84.000 (84.658)
Epoch: [84][3510/9018]	Time 0.721 (0.613)	Data 0.001 (0.001)	Loss 1.7982 (1.6272)	Prec@1 56.000 (56.190)	Prec@5 80.500 (84.660)
Epoch: [84][3520/9018]	Time 0.632 (0.613)	Data 0.001 (0.001)	Loss 1.8146 (1.6272)	Prec@1 47.500 (56.187)	Prec@5 80.500 (84.661)
Epoch: [84][3530/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.6829 (1.6271)	Prec@1 55.500 (56.190)	Prec@5 83.500 (84.664)
Epoch: [84][3540/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 1.6793 (1.6271)	Prec@1 54.000 (56.188)	Prec@5 81.000 (84.662)
Epoch: [84][3550/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.6466 (1.6272)	Prec@1 51.000 (56.187)	Prec@5 86.000 (84.660)
Epoch: [84][3560/9018]	Time 0.634 (0.613)	Data 0.001 (0.001)	Loss 1.6693 (1.6271)	Prec@1 56.000 (56.191)	Prec@5 82.000 (84.661)
Epoch: [84][3570/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.8115 (1.6271)	Prec@1 54.500 (56.193)	Prec@5 83.500 (84.661)
Epoch: [84][3580/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.7177 (1.6271)	Prec@1 51.500 (56.191)	Prec@5 84.500 (84.660)
Epoch: [84][3590/9018]	Time 0.642 (0.613)	Data 0.001 (0.001)	Loss 1.5925 (1.6269)	Prec@1 56.500 (56.193)	Prec@5 88.000 (84.665)
Epoch: [84][3600/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.6191 (1.6270)	Prec@1 57.000 (56.190)	Prec@5 85.500 (84.663)
Epoch: [84][3610/9018]	Time 0.622 (0.613)	Data 0.001 (0.001)	Loss 1.6241 (1.6270)	Prec@1 60.000 (56.194)	Prec@5 87.500 (84.664)
Epoch: [84][3620/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.5720 (1.6270)	Prec@1 55.000 (56.192)	Prec@5 85.500 (84.661)
Epoch: [84][3630/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.8623 (1.6272)	Prec@1 54.500 (56.190)	Prec@5 80.500 (84.659)
Epoch: [84][3640/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.8073 (1.6270)	Prec@1 51.000 (56.192)	Prec@5 78.000 (84.656)
Epoch: [84][3650/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.6398 (1.6270)	Prec@1 51.000 (56.193)	Prec@5 85.500 (84.658)
Epoch: [84][3660/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 1.5813 (1.6270)	Prec@1 57.500 (56.196)	Prec@5 83.500 (84.654)
Epoch: [84][3670/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.6279 (1.6272)	Prec@1 56.500 (56.194)	Prec@5 82.500 (84.650)
Epoch: [84][3680/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.4241 (1.6271)	Prec@1 62.000 (56.198)	Prec@5 87.500 (84.648)
Epoch: [84][3690/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.6566 (1.6272)	Prec@1 54.000 (56.196)	Prec@5 85.000 (84.645)
Epoch: [84][3700/9018]	Time 0.627 (0.613)	Data 0.001 (0.001)	Loss 1.8198 (1.6274)	Prec@1 51.000 (56.192)	Prec@5 84.000 (84.643)
Epoch: [84][3710/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.5370 (1.6274)	Prec@1 57.500 (56.192)	Prec@5 86.500 (84.645)
Epoch: [84][3720/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 1.5541 (1.6275)	Prec@1 59.500 (56.188)	Prec@5 87.000 (84.642)
Epoch: [84][3730/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.6390 (1.6275)	Prec@1 51.500 (56.187)	Prec@5 83.500 (84.644)
Epoch: [84][3740/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.6583 (1.6275)	Prec@1 56.000 (56.186)	Prec@5 84.000 (84.644)
Epoch: [84][3750/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.6436 (1.6274)	Prec@1 57.500 (56.189)	Prec@5 82.000 (84.647)
Epoch: [84][3760/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.6438 (1.6276)	Prec@1 53.500 (56.185)	Prec@5 81.500 (84.644)
Epoch: [84][3770/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.5303 (1.6277)	Prec@1 59.500 (56.185)	Prec@5 88.000 (84.643)
Epoch: [84][3780/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 1.6662 (1.6277)	Prec@1 53.000 (56.183)	Prec@5 84.000 (84.644)
Epoch: [84][3790/9018]	Time 0.722 (0.613)	Data 0.001 (0.001)	Loss 1.6109 (1.6277)	Prec@1 58.000 (56.184)	Prec@5 86.000 (84.644)
Epoch: [84][3800/9018]	Time 0.625 (0.613)	Data 0.001 (0.001)	Loss 1.4060 (1.6276)	Prec@1 61.500 (56.183)	Prec@5 88.500 (84.647)
Epoch: [84][3810/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.6267 (1.6279)	Prec@1 53.500 (56.177)	Prec@5 85.000 (84.641)
Epoch: [84][3820/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.7931 (1.6279)	Prec@1 50.000 (56.174)	Prec@5 84.500 (84.641)
Epoch: [84][3830/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 1.5027 (1.6280)	Prec@1 55.000 (56.175)	Prec@5 89.000 (84.639)
Epoch: [84][3840/9018]	Time 0.719 (0.613)	Data 0.001 (0.001)	Loss 1.6336 (1.6279)	Prec@1 54.000 (56.175)	Prec@5 86.500 (84.641)
Epoch: [84][3850/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6335 (1.6280)	Prec@1 57.500 (56.171)	Prec@5 84.000 (84.637)
Epoch: [84][3860/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.5573 (1.6280)	Prec@1 55.000 (56.168)	Prec@5 90.000 (84.638)
Epoch: [84][3870/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.7756 (1.6281)	Prec@1 50.000 (56.165)	Prec@5 80.500 (84.638)
Epoch: [84][3880/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.7728 (1.6279)	Prec@1 52.500 (56.170)	Prec@5 79.500 (84.640)
Epoch: [84][3890/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.4829 (1.6279)	Prec@1 60.500 (56.168)	Prec@5 89.500 (84.641)
Epoch: [84][3900/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 1.6214 (1.6279)	Prec@1 56.500 (56.168)	Prec@5 85.000 (84.641)
Epoch: [84][3910/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.4176 (1.6280)	Prec@1 64.500 (56.166)	Prec@5 85.500 (84.639)
Epoch: [84][3920/9018]	Time 0.622 (0.613)	Data 0.001 (0.001)	Loss 1.6632 (1.6280)	Prec@1 55.000 (56.165)	Prec@5 87.000 (84.638)
Epoch: [84][3930/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.7733 (1.6281)	Prec@1 53.500 (56.162)	Prec@5 84.000 (84.638)
Epoch: [84][3940/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.4070 (1.6282)	Prec@1 60.500 (56.158)	Prec@5 90.500 (84.635)
Epoch: [84][3950/9018]	Time 0.616 (0.613)	Data 0.001 (0.001)	Loss 1.4739 (1.6281)	Prec@1 58.000 (56.159)	Prec@5 87.000 (84.636)
Epoch: [84][3960/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.5626 (1.6281)	Prec@1 59.000 (56.161)	Prec@5 84.000 (84.636)
Epoch: [84][3970/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 1.6724 (1.6281)	Prec@1 55.500 (56.163)	Prec@5 84.000 (84.639)
Epoch: [84][3980/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.3603 (1.6281)	Prec@1 61.000 (56.162)	Prec@5 89.500 (84.637)
Epoch: [84][3990/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.6216 (1.6282)	Prec@1 56.000 (56.163)	Prec@5 86.000 (84.636)
Epoch: [84][4000/9018]	Time 0.610 (0.613)	Data 0.001 (0.001)	Loss 1.7411 (1.6281)	Prec@1 52.500 (56.163)	Prec@5 82.000 (84.637)
Epoch: [84][4010/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.7186 (1.6283)	Prec@1 51.500 (56.163)	Prec@5 84.500 (84.636)
Epoch: [84][4020/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 1.6647 (1.6284)	Prec@1 50.000 (56.160)	Prec@5 80.500 (84.632)
Epoch: [84][4030/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 1.5125 (1.6284)	Prec@1 57.000 (56.159)	Prec@5 84.500 (84.631)
Epoch: [84][4040/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.5334 (1.6285)	Prec@1 61.000 (56.162)	Prec@5 88.000 (84.628)
Epoch: [84][4050/9018]	Time 0.620 (0.613)	Data 0.001 (0.001)	Loss 1.5173 (1.6284)	Prec@1 56.000 (56.162)	Prec@5 88.000 (84.628)
Epoch: [84][4060/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.4266 (1.6285)	Prec@1 56.500 (56.162)	Prec@5 89.000 (84.629)
Epoch: [84][4070/9018]	Time 0.639 (0.613)	Data 0.001 (0.001)	Loss 1.6810 (1.6285)	Prec@1 54.500 (56.159)	Prec@5 79.500 (84.627)
Epoch: [84][4080/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.7451 (1.6284)	Prec@1 52.000 (56.162)	Prec@5 81.500 (84.630)
Epoch: [84][4090/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.5519 (1.6286)	Prec@1 57.000 (56.159)	Prec@5 85.500 (84.626)
Epoch: [84][4100/9018]	Time 0.622 (0.613)	Data 0.001 (0.001)	Loss 1.6152 (1.6287)	Prec@1 59.500 (56.157)	Prec@5 84.000 (84.625)
Epoch: [84][4110/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.5914 (1.6287)	Prec@1 55.500 (56.154)	Prec@5 86.500 (84.625)
Epoch: [84][4120/9018]	Time 0.728 (0.613)	Data 0.001 (0.001)	Loss 1.6763 (1.6290)	Prec@1 53.000 (56.147)	Prec@5 82.500 (84.623)
Epoch: [84][4130/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 1.6188 (1.6290)	Prec@1 54.000 (56.145)	Prec@5 85.500 (84.620)
Epoch: [84][4140/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6108 (1.6291)	Prec@1 54.500 (56.139)	Prec@5 86.500 (84.618)
Epoch: [84][4150/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 1.7826 (1.6293)	Prec@1 50.000 (56.138)	Prec@5 83.000 (84.617)
Epoch: [84][4160/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.6788 (1.6293)	Prec@1 57.000 (56.138)	Prec@5 83.500 (84.618)
Epoch: [84][4170/9018]	Time 0.745 (0.613)	Data 0.001 (0.001)	Loss 1.7217 (1.6293)	Prec@1 53.500 (56.136)	Prec@5 81.000 (84.617)
Epoch: [84][4180/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.4808 (1.6293)	Prec@1 62.000 (56.137)	Prec@5 82.000 (84.617)
Epoch: [84][4190/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6739 (1.6294)	Prec@1 56.500 (56.136)	Prec@5 80.000 (84.614)
Epoch: [84][4200/9018]	Time 0.630 (0.613)	Data 0.001 (0.001)	Loss 1.5910 (1.6293)	Prec@1 56.000 (56.134)	Prec@5 83.000 (84.612)
Epoch: [84][4210/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.5517 (1.6293)	Prec@1 57.500 (56.135)	Prec@5 87.000 (84.614)
Epoch: [84][4220/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6903 (1.6294)	Prec@1 58.000 (56.131)	Prec@5 82.000 (84.610)
Epoch: [84][4230/9018]	Time 0.630 (0.613)	Data 0.001 (0.001)	Loss 1.6326 (1.6294)	Prec@1 51.500 (56.132)	Prec@5 84.500 (84.609)
Epoch: [84][4240/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.6891 (1.6294)	Prec@1 57.000 (56.132)	Prec@5 81.500 (84.607)
Epoch: [84][4250/9018]	Time 0.629 (0.613)	Data 0.001 (0.001)	Loss 1.6166 (1.6296)	Prec@1 54.500 (56.128)	Prec@5 84.500 (84.604)
Epoch: [84][4260/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.4659 (1.6296)	Prec@1 58.000 (56.125)	Prec@5 88.000 (84.605)
Epoch: [84][4270/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.7122 (1.6296)	Prec@1 50.500 (56.124)	Prec@5 85.500 (84.605)
Epoch: [84][4280/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.4964 (1.6297)	Prec@1 58.500 (56.123)	Prec@5 88.000 (84.605)
Epoch: [84][4290/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.6230 (1.6297)	Prec@1 60.500 (56.124)	Prec@5 82.500 (84.604)
Epoch: [84][4300/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.7676 (1.6296)	Prec@1 55.000 (56.123)	Prec@5 79.000 (84.603)
Epoch: [84][4310/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.7407 (1.6296)	Prec@1 56.000 (56.127)	Prec@5 82.000 (84.603)
Epoch: [84][4320/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 1.5507 (1.6296)	Prec@1 55.000 (56.127)	Prec@5 88.000 (84.604)
Epoch: [84][4330/9018]	Time 0.630 (0.613)	Data 0.001 (0.001)	Loss 1.4535 (1.6295)	Prec@1 62.000 (56.131)	Prec@5 87.000 (84.604)
Epoch: [84][4340/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.7104 (1.6294)	Prec@1 55.500 (56.135)	Prec@5 82.500 (84.607)
Epoch: [84][4350/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 1.7262 (1.6295)	Prec@1 55.500 (56.134)	Prec@5 82.500 (84.606)
Epoch: [84][4360/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.5808 (1.6295)	Prec@1 57.500 (56.134)	Prec@5 86.000 (84.607)
Epoch: [84][4370/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.7476 (1.6295)	Prec@1 53.000 (56.132)	Prec@5 85.500 (84.606)
Epoch: [84][4380/9018]	Time 0.625 (0.613)	Data 0.001 (0.001)	Loss 1.5808 (1.6295)	Prec@1 56.000 (56.136)	Prec@5 83.000 (84.606)
Epoch: [84][4390/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.7010 (1.6294)	Prec@1 58.000 (56.142)	Prec@5 83.500 (84.605)
Epoch: [84][4400/9018]	Time 0.635 (0.613)	Data 0.001 (0.001)	Loss 1.6353 (1.6294)	Prec@1 56.500 (56.140)	Prec@5 82.000 (84.607)
Epoch: [84][4410/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 1.8441 (1.6295)	Prec@1 49.000 (56.137)	Prec@5 81.500 (84.605)
Epoch: [84][4420/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.6316 (1.6294)	Prec@1 58.000 (56.139)	Prec@5 82.500 (84.609)
Epoch: [84][4430/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.6111 (1.6296)	Prec@1 53.500 (56.137)	Prec@5 84.000 (84.607)
Epoch: [84][4440/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.5291 (1.6296)	Prec@1 58.000 (56.136)	Prec@5 88.000 (84.608)
Epoch: [84][4450/9018]	Time 0.694 (0.613)	Data 0.001 (0.001)	Loss 1.6311 (1.6295)	Prec@1 50.500 (56.138)	Prec@5 87.500 (84.610)
Epoch: [84][4460/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 1.6872 (1.6296)	Prec@1 57.500 (56.138)	Prec@5 83.500 (84.607)
Epoch: [84][4470/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6496 (1.6298)	Prec@1 55.500 (56.136)	Prec@5 85.000 (84.604)
Epoch: [84][4480/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 1.7147 (1.6299)	Prec@1 54.500 (56.130)	Prec@5 83.500 (84.603)
Epoch: [84][4490/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 1.7558 (1.6299)	Prec@1 56.000 (56.129)	Prec@5 81.500 (84.601)
Epoch: [84][4500/9018]	Time 0.751 (0.613)	Data 0.001 (0.001)	Loss 1.4563 (1.6300)	Prec@1 60.500 (56.126)	Prec@5 85.500 (84.598)
Epoch: [84][4510/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.5043 (1.6299)	Prec@1 60.500 (56.125)	Prec@5 88.000 (84.598)
Epoch: [84][4520/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.2756 (1.6299)	Prec@1 61.500 (56.125)	Prec@5 88.500 (84.598)
Epoch: [84][4530/9018]	Time 0.625 (0.613)	Data 0.001 (0.001)	Loss 1.5005 (1.6299)	Prec@1 54.500 (56.125)	Prec@5 85.000 (84.598)
Epoch: [84][4540/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.4391 (1.6298)	Prec@1 58.500 (56.126)	Prec@5 88.000 (84.599)
Epoch: [84][4550/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 1.5367 (1.6298)	Prec@1 58.500 (56.123)	Prec@5 83.000 (84.600)
Epoch: [84][4560/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.6307 (1.6299)	Prec@1 58.500 (56.122)	Prec@5 83.000 (84.598)
Epoch: [84][4570/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 1.5675 (1.6298)	Prec@1 54.000 (56.123)	Prec@5 87.500 (84.597)
Epoch: [84][4580/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.6633 (1.6299)	Prec@1 51.500 (56.122)	Prec@5 84.500 (84.599)
Epoch: [84][4590/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.6015 (1.6299)	Prec@1 55.500 (56.120)	Prec@5 86.500 (84.600)
Epoch: [84][4600/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.6792 (1.6300)	Prec@1 57.500 (56.118)	Prec@5 79.500 (84.598)
Epoch: [84][4610/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.8906 (1.6301)	Prec@1 52.500 (56.115)	Prec@5 79.500 (84.598)
Epoch: [84][4620/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.5456 (1.6301)	Prec@1 57.500 (56.113)	Prec@5 86.000 (84.596)
Epoch: [84][4630/9018]	Time 0.629 (0.613)	Data 0.001 (0.001)	Loss 1.6187 (1.6302)	Prec@1 52.500 (56.109)	Prec@5 86.000 (84.596)
Epoch: [84][4640/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 1.5938 (1.6302)	Prec@1 61.500 (56.108)	Prec@5 85.500 (84.596)
Epoch: [84][4650/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.7400 (1.6301)	Prec@1 53.500 (56.109)	Prec@5 85.500 (84.597)
Epoch: [84][4660/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.6845 (1.6302)	Prec@1 55.500 (56.106)	Prec@5 83.500 (84.595)
Epoch: [84][4670/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.6654 (1.6303)	Prec@1 52.500 (56.104)	Prec@5 85.000 (84.595)
Epoch: [84][4680/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.6322 (1.6303)	Prec@1 56.000 (56.103)	Prec@5 82.500 (84.595)
Epoch: [84][4690/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 1.9167 (1.6303)	Prec@1 51.500 (56.104)	Prec@5 81.500 (84.595)
Epoch: [84][4700/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6303 (1.6304)	Prec@1 54.500 (56.102)	Prec@5 83.000 (84.593)
Epoch: [84][4710/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 1.5488 (1.6304)	Prec@1 56.500 (56.098)	Prec@5 87.000 (84.592)
Epoch: [84][4720/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.6449 (1.6304)	Prec@1 54.000 (56.101)	Prec@5 84.500 (84.592)
Epoch: [84][4730/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.8264 (1.6305)	Prec@1 49.500 (56.095)	Prec@5 80.500 (84.589)
Epoch: [84][4740/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.4239 (1.6304)	Prec@1 63.000 (56.099)	Prec@5 89.500 (84.592)
Epoch: [84][4750/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.7741 (1.6304)	Prec@1 51.500 (56.100)	Prec@5 83.000 (84.592)
Epoch: [84][4760/9018]	Time 0.632 (0.613)	Data 0.001 (0.001)	Loss 1.5056 (1.6305)	Prec@1 57.000 (56.093)	Prec@5 86.500 (84.592)
Epoch: [84][4770/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 1.5851 (1.6305)	Prec@1 54.000 (56.091)	Prec@5 88.500 (84.593)
Epoch: [84][4780/9018]	Time 0.704 (0.613)	Data 0.001 (0.001)	Loss 1.7875 (1.6307)	Prec@1 56.000 (56.092)	Prec@5 82.500 (84.591)
Epoch: [84][4790/9018]	Time 0.627 (0.613)	Data 0.001 (0.001)	Loss 1.7683 (1.6308)	Prec@1 58.000 (56.091)	Prec@5 83.000 (84.590)
Epoch: [84][4800/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 1.6952 (1.6307)	Prec@1 54.000 (56.092)	Prec@5 83.000 (84.592)
Epoch: [84][4810/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.5926 (1.6307)	Prec@1 53.500 (56.090)	Prec@5 87.000 (84.593)
Epoch: [84][4820/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.5936 (1.6307)	Prec@1 57.500 (56.091)	Prec@5 85.500 (84.595)
Epoch: [84][4830/9018]	Time 0.704 (0.613)	Data 0.001 (0.001)	Loss 1.6231 (1.6306)	Prec@1 59.000 (56.093)	Prec@5 84.500 (84.597)
Epoch: [84][4840/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.4413 (1.6305)	Prec@1 58.500 (56.095)	Prec@5 89.500 (84.599)
Epoch: [84][4850/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.4235 (1.6306)	Prec@1 64.500 (56.092)	Prec@5 87.000 (84.597)
Epoch: [84][4860/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 1.2759 (1.6305)	Prec@1 67.000 (56.093)	Prec@5 86.500 (84.597)
Epoch: [84][4870/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 1.6243 (1.6305)	Prec@1 56.500 (56.094)	Prec@5 83.000 (84.598)
Epoch: [84][4880/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 1.7399 (1.6307)	Prec@1 54.000 (56.091)	Prec@5 82.000 (84.593)
Epoch: [84][4890/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.6334 (1.6306)	Prec@1 52.000 (56.095)	Prec@5 86.500 (84.594)
Epoch: [84][4900/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.6923 (1.6308)	Prec@1 58.500 (56.092)	Prec@5 83.500 (84.592)
Epoch: [84][4910/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.8613 (1.6308)	Prec@1 52.500 (56.090)	Prec@5 79.500 (84.593)
Epoch: [84][4920/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.6228 (1.6308)	Prec@1 57.000 (56.091)	Prec@5 83.000 (84.592)
Epoch: [84][4930/9018]	Time 0.628 (0.613)	Data 0.001 (0.001)	Loss 1.3355 (1.6307)	Prec@1 65.500 (56.094)	Prec@5 89.500 (84.593)
Epoch: [84][4940/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.8440 (1.6309)	Prec@1 56.000 (56.092)	Prec@5 81.000 (84.591)
Epoch: [84][4950/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.7434 (1.6309)	Prec@1 53.500 (56.092)	Prec@5 82.000 (84.589)
Epoch: [84][4960/9018]	Time 0.610 (0.613)	Data 0.001 (0.001)	Loss 1.6748 (1.6309)	Prec@1 55.500 (56.091)	Prec@5 80.500 (84.589)
Epoch: [84][4970/9018]	Time 0.643 (0.613)	Data 0.001 (0.001)	Loss 1.5440 (1.6310)	Prec@1 58.000 (56.088)	Prec@5 84.000 (84.586)
Epoch: [84][4980/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.7170 (1.6309)	Prec@1 52.000 (56.093)	Prec@5 84.000 (84.588)
Epoch: [84][4990/9018]	Time 0.633 (0.613)	Data 0.001 (0.001)	Loss 1.8212 (1.6310)	Prec@1 53.000 (56.093)	Prec@5 79.500 (84.585)
Epoch: [84][5000/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.7007 (1.6309)	Prec@1 57.000 (56.092)	Prec@5 85.000 (84.587)
Epoch: [84][5010/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.6281 (1.6309)	Prec@1 54.000 (56.094)	Prec@5 84.000 (84.588)
Epoch: [84][5020/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 1.5421 (1.6308)	Prec@1 54.000 (56.095)	Prec@5 85.000 (84.589)
Epoch: [84][5030/9018]	Time 0.610 (0.613)	Data 0.001 (0.001)	Loss 1.8037 (1.6309)	Prec@1 50.000 (56.094)	Prec@5 82.000 (84.587)
Epoch: [84][5040/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 1.4902 (1.6310)	Prec@1 62.000 (56.092)	Prec@5 86.500 (84.588)
Epoch: [84][5050/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.9037 (1.6310)	Prec@1 44.500 (56.089)	Prec@5 81.500 (84.588)
Epoch: [84][5060/9018]	Time 0.619 (0.613)	Data 0.001 (0.001)	Loss 1.6028 (1.6310)	Prec@1 54.000 (56.090)	Prec@5 86.500 (84.590)
Epoch: [84][5070/9018]	Time 0.629 (0.613)	Data 0.001 (0.001)	Loss 1.4472 (1.6310)	Prec@1 63.500 (56.092)	Prec@5 85.500 (84.589)
Epoch: [84][5080/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.5491 (1.6310)	Prec@1 57.000 (56.089)	Prec@5 86.500 (84.588)
Epoch: [84][5090/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.6048 (1.6311)	Prec@1 56.500 (56.086)	Prec@5 86.000 (84.586)
Epoch: [84][5100/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.7843 (1.6311)	Prec@1 53.500 (56.086)	Prec@5 82.500 (84.584)
Epoch: [84][5110/9018]	Time 0.696 (0.613)	Data 0.001 (0.001)	Loss 1.6251 (1.6311)	Prec@1 59.000 (56.089)	Prec@5 84.500 (84.584)
Epoch: [84][5120/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.4830 (1.6311)	Prec@1 58.500 (56.088)	Prec@5 88.500 (84.585)
Epoch: [84][5130/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.7314 (1.6312)	Prec@1 54.500 (56.086)	Prec@5 82.500 (84.584)
Epoch: [84][5140/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.7822 (1.6312)	Prec@1 52.500 (56.086)	Prec@5 82.500 (84.583)
Epoch: [84][5150/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 1.5985 (1.6313)	Prec@1 59.000 (56.084)	Prec@5 86.000 (84.581)
Epoch: [84][5160/9018]	Time 0.699 (0.613)	Data 0.001 (0.001)	Loss 1.5978 (1.6313)	Prec@1 54.500 (56.083)	Prec@5 85.000 (84.580)
Epoch: [84][5170/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 1.7805 (1.6313)	Prec@1 55.500 (56.082)	Prec@5 81.000 (84.580)
Epoch: [84][5180/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6097 (1.6313)	Prec@1 57.000 (56.083)	Prec@5 85.500 (84.580)
Epoch: [84][5190/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.7201 (1.6313)	Prec@1 53.000 (56.083)	Prec@5 85.500 (84.580)
Epoch: [84][5200/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 1.8370 (1.6315)	Prec@1 50.500 (56.082)	Prec@5 82.000 (84.577)
Epoch: [84][5210/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 1.8301 (1.6315)	Prec@1 49.000 (56.079)	Prec@5 78.500 (84.576)
Epoch: [84][5220/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.8762 (1.6316)	Prec@1 50.000 (56.079)	Prec@5 76.500 (84.572)
Epoch: [84][5230/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.7671 (1.6316)	Prec@1 52.500 (56.078)	Prec@5 83.500 (84.572)
Epoch: [84][5240/9018]	Time 0.633 (0.613)	Data 0.001 (0.001)	Loss 1.5150 (1.6317)	Prec@1 58.500 (56.075)	Prec@5 86.500 (84.570)
Epoch: [84][5250/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6378 (1.6316)	Prec@1 53.000 (56.078)	Prec@5 85.000 (84.571)
Epoch: [84][5260/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.6827 (1.6317)	Prec@1 53.000 (56.074)	Prec@5 85.500 (84.572)
Epoch: [84][5270/9018]	Time 0.630 (0.613)	Data 0.001 (0.001)	Loss 1.6291 (1.6318)	Prec@1 53.500 (56.072)	Prec@5 85.500 (84.571)
Epoch: [84][5280/9018]	Time 0.591 (0.613)	Data 0.001 (0.001)	Loss 1.5755 (1.6318)	Prec@1 56.000 (56.071)	Prec@5 83.500 (84.570)
Epoch: [84][5290/9018]	Time 0.629 (0.613)	Data 0.001 (0.001)	Loss 1.7538 (1.6319)	Prec@1 54.000 (56.070)	Prec@5 83.000 (84.569)
Epoch: [84][5300/9018]	Time 0.627 (0.613)	Data 0.001 (0.001)	Loss 1.6634 (1.6319)	Prec@1 55.500 (56.068)	Prec@5 84.000 (84.569)
Epoch: [84][5310/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.6140 (1.6319)	Prec@1 60.000 (56.072)	Prec@5 84.000 (84.568)
Epoch: [84][5320/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6424 (1.6320)	Prec@1 58.500 (56.070)	Prec@5 85.000 (84.567)
Epoch: [84][5330/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.5405 (1.6319)	Prec@1 56.000 (56.072)	Prec@5 84.500 (84.569)
Epoch: [84][5340/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 1.6944 (1.6321)	Prec@1 56.500 (56.070)	Prec@5 82.000 (84.566)
Epoch: [84][5350/9018]	Time 0.631 (0.613)	Data 0.001 (0.001)	Loss 1.6891 (1.6320)	Prec@1 56.000 (56.075)	Prec@5 83.000 (84.566)
Epoch: [84][5360/9018]	Time 0.630 (0.613)	Data 0.001 (0.001)	Loss 1.6676 (1.6320)	Prec@1 56.500 (56.074)	Prec@5 84.000 (84.568)
Epoch: [84][5370/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.5667 (1.6320)	Prec@1 56.000 (56.073)	Prec@5 85.000 (84.565)
Epoch: [84][5380/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 1.6083 (1.6320)	Prec@1 54.500 (56.078)	Prec@5 87.500 (84.568)
Epoch: [84][5390/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.7310 (1.6321)	Prec@1 53.000 (56.074)	Prec@5 81.500 (84.565)
Epoch: [84][5400/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.6553 (1.6320)	Prec@1 51.000 (56.076)	Prec@5 86.000 (84.565)
Epoch: [84][5410/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.6051 (1.6320)	Prec@1 56.000 (56.075)	Prec@5 87.500 (84.565)
Epoch: [84][5420/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.6076 (1.6320)	Prec@1 59.000 (56.076)	Prec@5 86.000 (84.566)
Epoch: [84][5430/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.4729 (1.6320)	Prec@1 59.000 (56.075)	Prec@5 85.500 (84.565)
Epoch: [84][5440/9018]	Time 0.689 (0.613)	Data 0.001 (0.001)	Loss 1.4772 (1.6320)	Prec@1 57.500 (56.077)	Prec@5 87.500 (84.566)
Epoch: [84][5450/9018]	Time 0.629 (0.613)	Data 0.001 (0.001)	Loss 1.6109 (1.6320)	Prec@1 56.500 (56.078)	Prec@5 84.000 (84.568)
Epoch: [84][5460/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.7973 (1.6320)	Prec@1 49.000 (56.074)	Prec@5 82.500 (84.566)
Epoch: [84][5470/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6936 (1.6320)	Prec@1 54.500 (56.075)	Prec@5 84.500 (84.566)
Epoch: [84][5480/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.8006 (1.6320)	Prec@1 51.000 (56.075)	Prec@5 83.000 (84.565)
Epoch: [84][5490/9018]	Time 0.728 (0.613)	Data 0.001 (0.001)	Loss 1.6430 (1.6320)	Prec@1 53.500 (56.074)	Prec@5 84.500 (84.564)
Epoch: [84][5500/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.7287 (1.6322)	Prec@1 56.500 (56.073)	Prec@5 81.000 (84.562)
Epoch: [84][5510/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.7351 (1.6321)	Prec@1 53.000 (56.073)	Prec@5 80.000 (84.562)
Epoch: [84][5520/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 1.6730 (1.6321)	Prec@1 54.000 (56.071)	Prec@5 83.000 (84.561)
Epoch: [84][5530/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.5690 (1.6320)	Prec@1 56.000 (56.073)	Prec@5 88.500 (84.563)
Epoch: [84][5540/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.5174 (1.6321)	Prec@1 63.000 (56.073)	Prec@5 85.500 (84.562)
Epoch: [84][5550/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 1.7139 (1.6321)	Prec@1 54.000 (56.074)	Prec@5 84.500 (84.561)
Epoch: [84][5560/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.5388 (1.6323)	Prec@1 58.000 (56.070)	Prec@5 86.500 (84.558)
Epoch: [84][5570/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.5498 (1.6323)	Prec@1 63.500 (56.070)	Prec@5 82.500 (84.555)
Epoch: [84][5580/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.7571 (1.6324)	Prec@1 51.000 (56.066)	Prec@5 84.000 (84.554)
Epoch: [84][5590/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6336 (1.6324)	Prec@1 59.000 (56.065)	Prec@5 84.000 (84.555)
Epoch: [84][5600/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 1.5792 (1.6325)	Prec@1 57.000 (56.064)	Prec@5 85.000 (84.554)
Epoch: [84][5610/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.6425 (1.6324)	Prec@1 57.000 (56.067)	Prec@5 88.000 (84.555)
Epoch: [84][5620/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.7150 (1.6325)	Prec@1 53.500 (56.067)	Prec@5 82.500 (84.552)
Epoch: [84][5630/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 1.6229 (1.6325)	Prec@1 58.000 (56.069)	Prec@5 85.500 (84.551)
Epoch: [84][5640/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.9420 (1.6324)	Prec@1 50.500 (56.072)	Prec@5 80.500 (84.552)
Epoch: [84][5650/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.6023 (1.6325)	Prec@1 54.500 (56.070)	Prec@5 87.000 (84.551)
Epoch: [84][5660/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 1.7768 (1.6325)	Prec@1 54.000 (56.069)	Prec@5 79.500 (84.548)
Epoch: [84][5670/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.7258 (1.6326)	Prec@1 49.500 (56.067)	Prec@5 84.000 (84.547)
Epoch: [84][5680/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.6789 (1.6325)	Prec@1 58.500 (56.070)	Prec@5 84.000 (84.547)
Epoch: [84][5690/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 1.5023 (1.6325)	Prec@1 57.000 (56.068)	Prec@5 86.500 (84.546)
Epoch: [84][5700/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 1.3503 (1.6326)	Prec@1 63.500 (56.067)	Prec@5 88.000 (84.545)
Epoch: [84][5710/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.7256 (1.6327)	Prec@1 55.500 (56.063)	Prec@5 83.000 (84.543)
Epoch: [84][5720/9018]	Time 0.746 (0.613)	Data 0.001 (0.001)	Loss 1.4379 (1.6327)	Prec@1 59.500 (56.066)	Prec@5 88.000 (84.544)
Epoch: [84][5730/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.8232 (1.6327)	Prec@1 50.000 (56.063)	Prec@5 82.000 (84.542)
Epoch: [84][5740/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.7272 (1.6328)	Prec@1 54.000 (56.063)	Prec@5 80.000 (84.542)
Epoch: [84][5750/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 1.4748 (1.6328)	Prec@1 56.500 (56.060)	Prec@5 88.500 (84.542)
Epoch: [84][5760/9018]	Time 0.592 (0.613)	Data 0.001 (0.001)	Loss 1.5081 (1.6328)	Prec@1 57.500 (56.057)	Prec@5 87.000 (84.540)
Epoch: [84][5770/9018]	Time 0.720 (0.613)	Data 0.001 (0.001)	Loss 1.5520 (1.6328)	Prec@1 59.500 (56.060)	Prec@5 85.500 (84.540)
Epoch: [84][5780/9018]	Time 0.620 (0.613)	Data 0.001 (0.001)	Loss 1.5718 (1.6328)	Prec@1 53.500 (56.059)	Prec@5 83.500 (84.539)
Epoch: [84][5790/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.5349 (1.6329)	Prec@1 52.500 (56.056)	Prec@5 88.000 (84.539)
Epoch: [84][5800/9018]	Time 0.625 (0.613)	Data 0.001 (0.001)	Loss 1.5291 (1.6329)	Prec@1 54.500 (56.054)	Prec@5 86.000 (84.538)
Epoch: [84][5810/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.6272 (1.6330)	Prec@1 54.000 (56.050)	Prec@5 82.000 (84.535)
Epoch: [84][5820/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 1.7398 (1.6330)	Prec@1 54.000 (56.051)	Prec@5 82.500 (84.534)
Epoch: [84][5830/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 1.8414 (1.6330)	Prec@1 53.500 (56.051)	Prec@5 83.000 (84.533)
Epoch: [84][5840/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 1.6562 (1.6331)	Prec@1 55.000 (56.049)	Prec@5 84.000 (84.532)
Epoch: [84][5850/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 1.6171 (1.6331)	Prec@1 58.000 (56.051)	Prec@5 84.000 (84.532)
Epoch: [84][5860/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.6603 (1.6332)	Prec@1 54.000 (56.048)	Prec@5 83.000 (84.531)
Epoch: [84][5870/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.7541 (1.6333)	Prec@1 53.500 (56.046)	Prec@5 83.500 (84.531)
Epoch: [84][5880/9018]	Time 0.634 (0.613)	Data 0.001 (0.001)	Loss 1.8342 (1.6332)	Prec@1 49.500 (56.047)	Prec@5 80.500 (84.534)
Epoch: [84][5890/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 1.6580 (1.6332)	Prec@1 59.500 (56.045)	Prec@5 83.000 (84.534)
Epoch: [84][5900/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 1.3054 (1.6332)	Prec@1 65.500 (56.045)	Prec@5 90.500 (84.533)
Epoch: [84][5910/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.7199 (1.6332)	Prec@1 57.500 (56.046)	Prec@5 83.000 (84.533)
Epoch: [84][5920/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.5768 (1.6332)	Prec@1 59.000 (56.044)	Prec@5 83.500 (84.533)
Epoch: [84][5930/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.5945 (1.6334)	Prec@1 56.500 (56.042)	Prec@5 86.000 (84.530)
Epoch: [84][5940/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.4783 (1.6335)	Prec@1 60.000 (56.038)	Prec@5 88.000 (84.529)
Epoch: [84][5950/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.8345 (1.6335)	Prec@1 53.000 (56.039)	Prec@5 80.000 (84.529)
Epoch: [84][5960/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 1.4992 (1.6335)	Prec@1 58.500 (56.038)	Prec@5 84.500 (84.527)
Epoch: [84][5970/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.6559 (1.6335)	Prec@1 59.500 (56.038)	Prec@5 80.500 (84.527)
Epoch: [84][5980/9018]	Time 0.621 (0.613)	Data 0.001 (0.001)	Loss 1.6040 (1.6334)	Prec@1 56.500 (56.041)	Prec@5 84.000 (84.529)
Epoch: [84][5990/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.6869 (1.6334)	Prec@1 54.500 (56.041)	Prec@5 81.000 (84.529)
Epoch: [84][6000/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6418 (1.6333)	Prec@1 51.000 (56.042)	Prec@5 84.500 (84.531)
Epoch: [84][6010/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 1.4999 (1.6333)	Prec@1 55.000 (56.043)	Prec@5 87.500 (84.531)
Epoch: [84][6020/9018]	Time 0.610 (0.613)	Data 0.001 (0.001)	Loss 1.6897 (1.6332)	Prec@1 52.500 (56.044)	Prec@5 82.500 (84.532)
Epoch: [84][6030/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.8511 (1.6332)	Prec@1 53.000 (56.043)	Prec@5 83.000 (84.531)
Epoch: [84][6040/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.5207 (1.6333)	Prec@1 54.000 (56.039)	Prec@5 89.000 (84.529)
Epoch: [84][6050/9018]	Time 0.721 (0.613)	Data 0.001 (0.001)	Loss 1.7292 (1.6334)	Prec@1 57.500 (56.037)	Prec@5 81.000 (84.528)
Epoch: [84][6060/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.4986 (1.6333)	Prec@1 61.000 (56.038)	Prec@5 85.500 (84.529)
Epoch: [84][6070/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.4636 (1.6333)	Prec@1 60.000 (56.038)	Prec@5 86.000 (84.529)
Epoch: [84][6080/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 1.7099 (1.6333)	Prec@1 55.500 (56.039)	Prec@5 82.500 (84.528)
Epoch: [84][6090/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.5141 (1.6334)	Prec@1 59.000 (56.033)	Prec@5 86.500 (84.527)
Epoch: [84][6100/9018]	Time 0.720 (0.613)	Data 0.001 (0.001)	Loss 1.5989 (1.6335)	Prec@1 56.500 (56.032)	Prec@5 83.500 (84.527)
Epoch: [84][6110/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.8424 (1.6335)	Prec@1 50.000 (56.029)	Prec@5 78.500 (84.525)
Epoch: [84][6120/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 1.6261 (1.6336)	Prec@1 55.500 (56.028)	Prec@5 83.000 (84.523)
Epoch: [84][6130/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.5296 (1.6335)	Prec@1 55.500 (56.028)	Prec@5 86.000 (84.524)
Epoch: [84][6140/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 1.6769 (1.6336)	Prec@1 54.500 (56.025)	Prec@5 85.000 (84.522)
Epoch: [84][6150/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.7630 (1.6336)	Prec@1 55.000 (56.026)	Prec@5 82.000 (84.521)
Epoch: [84][6160/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.6085 (1.6337)	Prec@1 56.500 (56.025)	Prec@5 85.500 (84.520)
Epoch: [84][6170/9018]	Time 0.611 (0.613)	Data 0.001 (0.001)	Loss 1.6388 (1.6337)	Prec@1 58.500 (56.026)	Prec@5 84.500 (84.521)
Epoch: [84][6180/9018]	Time 0.624 (0.613)	Data 0.001 (0.001)	Loss 1.9490 (1.6338)	Prec@1 51.000 (56.025)	Prec@5 80.500 (84.519)
Epoch: [84][6190/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.4340 (1.6338)	Prec@1 56.500 (56.026)	Prec@5 88.500 (84.518)
Epoch: [84][6200/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.6445 (1.6338)	Prec@1 54.000 (56.026)	Prec@5 84.500 (84.520)
Epoch: [84][6210/9018]	Time 0.618 (0.613)	Data 0.001 (0.001)	Loss 1.5501 (1.6337)	Prec@1 54.000 (56.026)	Prec@5 88.000 (84.521)
Epoch: [84][6220/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.7785 (1.6337)	Prec@1 53.500 (56.026)	Prec@5 81.000 (84.518)
Epoch: [84][6230/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 1.7332 (1.6338)	Prec@1 55.000 (56.023)	Prec@5 85.000 (84.517)
Epoch: [84][6240/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.5533 (1.6337)	Prec@1 54.500 (56.026)	Prec@5 87.500 (84.519)
Epoch: [84][6250/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 1.7394 (1.6337)	Prec@1 53.000 (56.028)	Prec@5 82.000 (84.520)
Epoch: [84][6260/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.6934 (1.6337)	Prec@1 55.500 (56.027)	Prec@5 84.500 (84.520)
Epoch: [84][6270/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.4431 (1.6337)	Prec@1 62.000 (56.028)	Prec@5 87.000 (84.520)
Epoch: [84][6280/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.5229 (1.6338)	Prec@1 57.500 (56.027)	Prec@5 85.000 (84.518)
Epoch: [84][6290/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.9648 (1.6339)	Prec@1 52.500 (56.026)	Prec@5 79.000 (84.515)
Epoch: [84][6300/9018]	Time 0.616 (0.613)	Data 0.001 (0.001)	Loss 1.7217 (1.6339)	Prec@1 53.500 (56.025)	Prec@5 85.500 (84.514)
Epoch: [84][6310/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.8360 (1.6339)	Prec@1 54.500 (56.028)	Prec@5 82.000 (84.515)
Epoch: [84][6320/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.5726 (1.6339)	Prec@1 56.500 (56.028)	Prec@5 85.000 (84.515)
Epoch: [84][6330/9018]	Time 0.635 (0.613)	Data 0.001 (0.001)	Loss 1.5168 (1.6338)	Prec@1 58.000 (56.029)	Prec@5 86.000 (84.517)
Epoch: [84][6340/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.7905 (1.6338)	Prec@1 52.000 (56.028)	Prec@5 80.500 (84.517)
Epoch: [84][6350/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.6393 (1.6338)	Prec@1 54.500 (56.026)	Prec@5 85.500 (84.518)
Epoch: [84][6360/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 1.5820 (1.6340)	Prec@1 58.000 (56.025)	Prec@5 86.000 (84.516)
Epoch: [84][6370/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.6025 (1.6340)	Prec@1 54.000 (56.022)	Prec@5 84.500 (84.515)
Epoch: [84][6380/9018]	Time 0.738 (0.613)	Data 0.001 (0.001)	Loss 1.7030 (1.6340)	Prec@1 57.000 (56.024)	Prec@5 82.000 (84.515)
Epoch: [84][6390/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.6519 (1.6340)	Prec@1 53.500 (56.023)	Prec@5 82.500 (84.512)
Epoch: [84][6400/9018]	Time 0.589 (0.613)	Data 0.001 (0.001)	Loss 1.6054 (1.6340)	Prec@1 56.500 (56.022)	Prec@5 85.500 (84.513)
Epoch: [84][6410/9018]	Time 0.637 (0.613)	Data 0.001 (0.001)	Loss 1.5808 (1.6340)	Prec@1 55.000 (56.020)	Prec@5 85.500 (84.513)
Epoch: [84][6420/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.2844 (1.6340)	Prec@1 66.500 (56.018)	Prec@5 91.000 (84.514)
Epoch: [84][6430/9018]	Time 0.692 (0.613)	Data 0.001 (0.001)	Loss 1.6170 (1.6340)	Prec@1 56.500 (56.017)	Prec@5 84.000 (84.514)
Epoch: [84][6440/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.8024 (1.6341)	Prec@1 52.000 (56.016)	Prec@5 82.000 (84.513)
Epoch: [84][6450/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.6690 (1.6341)	Prec@1 59.000 (56.018)	Prec@5 81.000 (84.511)
Epoch: [84][6460/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.8136 (1.6342)	Prec@1 51.000 (56.015)	Prec@5 82.000 (84.510)
Epoch: [84][6470/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 1.8428 (1.6342)	Prec@1 51.000 (56.013)	Prec@5 82.000 (84.510)
Epoch: [84][6480/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.5528 (1.6342)	Prec@1 57.000 (56.012)	Prec@5 86.500 (84.511)
Epoch: [84][6490/9018]	Time 0.609 (0.613)	Data 0.001 (0.001)	Loss 1.7612 (1.6342)	Prec@1 56.000 (56.011)	Prec@5 84.000 (84.511)
Epoch: [84][6500/9018]	Time 0.594 (0.613)	Data 0.001 (0.001)	Loss 1.8053 (1.6342)	Prec@1 50.500 (56.011)	Prec@5 79.000 (84.512)
Epoch: [84][6510/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.4180 (1.6342)	Prec@1 59.500 (56.012)	Prec@5 89.000 (84.514)
Epoch: [84][6520/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.7621 (1.6343)	Prec@1 55.500 (56.009)	Prec@5 79.000 (84.511)
Epoch: [84][6530/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.7380 (1.6344)	Prec@1 54.000 (56.006)	Prec@5 83.500 (84.509)
Epoch: [84][6540/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6545 (1.6344)	Prec@1 57.000 (56.007)	Prec@5 85.500 (84.510)
Epoch: [84][6550/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.7472 (1.6345)	Prec@1 59.000 (56.005)	Prec@5 81.500 (84.509)
Epoch: [84][6560/9018]	Time 0.612 (0.613)	Data 0.001 (0.001)	Loss 1.7774 (1.6345)	Prec@1 54.000 (56.006)	Prec@5 80.000 (84.507)
Epoch: [84][6570/9018]	Time 0.623 (0.613)	Data 0.001 (0.001)	Loss 1.4268 (1.6345)	Prec@1 62.000 (56.008)	Prec@5 89.500 (84.507)
Epoch: [84][6580/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.5991 (1.6344)	Prec@1 59.500 (56.009)	Prec@5 84.500 (84.509)
Epoch: [84][6590/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.8339 (1.6344)	Prec@1 53.000 (56.011)	Prec@5 79.500 (84.509)
Epoch: [84][6600/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.8541 (1.6344)	Prec@1 50.500 (56.011)	Prec@5 78.000 (84.507)
Epoch: [84][6610/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.6775 (1.6345)	Prec@1 56.000 (56.010)	Prec@5 84.000 (84.508)
Epoch: [84][6620/9018]	Time 0.643 (0.613)	Data 0.001 (0.001)	Loss 1.4030 (1.6345)	Prec@1 64.500 (56.009)	Prec@5 86.500 (84.508)
Epoch: [84][6630/9018]	Time 0.620 (0.613)	Data 0.001 (0.001)	Loss 1.4740 (1.6345)	Prec@1 60.000 (56.011)	Prec@5 84.500 (84.510)
Epoch: [84][6640/9018]	Time 0.605 (0.613)	Data 0.001 (0.001)	Loss 1.6273 (1.6345)	Prec@1 58.500 (56.011)	Prec@5 84.000 (84.508)
Epoch: [84][6650/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.5460 (1.6345)	Prec@1 58.000 (56.011)	Prec@5 87.000 (84.508)
Epoch: [84][6660/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.8616 (1.6344)	Prec@1 52.500 (56.014)	Prec@5 79.000 (84.508)
Epoch: [84][6670/9018]	Time 0.640 (0.613)	Data 0.001 (0.001)	Loss 1.5359 (1.6345)	Prec@1 58.000 (56.013)	Prec@5 84.500 (84.507)
Epoch: [84][6680/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.7675 (1.6346)	Prec@1 53.000 (56.011)	Prec@5 83.000 (84.504)
Epoch: [84][6690/9018]	Time 0.627 (0.613)	Data 0.001 (0.001)	Loss 1.3711 (1.6345)	Prec@1 61.500 (56.011)	Prec@5 88.000 (84.504)
Epoch: [84][6700/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.8557 (1.6346)	Prec@1 51.500 (56.011)	Prec@5 82.500 (84.505)
Epoch: [84][6710/9018]	Time 0.729 (0.613)	Data 0.001 (0.001)	Loss 1.7423 (1.6345)	Prec@1 54.500 (56.013)	Prec@5 83.500 (84.506)
Epoch: [84][6720/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6651 (1.6346)	Prec@1 53.000 (56.009)	Prec@5 84.500 (84.505)
Epoch: [84][6730/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6806 (1.6347)	Prec@1 57.500 (56.007)	Prec@5 81.000 (84.502)
Epoch: [84][6740/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 1.5050 (1.6346)	Prec@1 59.000 (56.010)	Prec@5 85.000 (84.502)
Epoch: [84][6750/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.6041 (1.6346)	Prec@1 55.000 (56.010)	Prec@5 87.500 (84.504)
Epoch: [84][6760/9018]	Time 0.729 (0.613)	Data 0.001 (0.001)	Loss 1.6475 (1.6346)	Prec@1 55.000 (56.011)	Prec@5 85.000 (84.505)
Epoch: [84][6770/9018]	Time 0.637 (0.613)	Data 0.001 (0.001)	Loss 1.6695 (1.6346)	Prec@1 56.500 (56.010)	Prec@5 82.000 (84.504)
Epoch: [84][6780/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.8157 (1.6346)	Prec@1 57.500 (56.012)	Prec@5 81.000 (84.505)
Epoch: [84][6790/9018]	Time 0.628 (0.613)	Data 0.001 (0.001)	Loss 1.5511 (1.6346)	Prec@1 58.000 (56.012)	Prec@5 86.000 (84.506)
Epoch: [84][6800/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.5941 (1.6345)	Prec@1 56.000 (56.012)	Prec@5 87.000 (84.507)
Epoch: [84][6810/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.8603 (1.6347)	Prec@1 50.500 (56.008)	Prec@5 81.000 (84.506)
Epoch: [84][6820/9018]	Time 0.610 (0.613)	Data 0.001 (0.001)	Loss 1.6160 (1.6348)	Prec@1 55.000 (56.006)	Prec@5 85.000 (84.504)
Epoch: [84][6830/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.8742 (1.6348)	Prec@1 51.500 (56.007)	Prec@5 80.000 (84.502)
Epoch: [84][6840/9018]	Time 0.620 (0.613)	Data 0.001 (0.001)	Loss 1.8212 (1.6348)	Prec@1 50.000 (56.008)	Prec@5 81.000 (84.502)
Epoch: [84][6850/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.5978 (1.6348)	Prec@1 57.500 (56.009)	Prec@5 82.000 (84.502)
Epoch: [84][6860/9018]	Time 0.608 (0.613)	Data 0.001 (0.001)	Loss 1.7686 (1.6348)	Prec@1 57.000 (56.007)	Prec@5 80.500 (84.501)
Epoch: [84][6870/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.4968 (1.6348)	Prec@1 59.000 (56.008)	Prec@5 86.000 (84.501)
Epoch: [84][6880/9018]	Time 0.590 (0.613)	Data 0.001 (0.001)	Loss 1.7603 (1.6348)	Prec@1 50.000 (56.007)	Prec@5 84.500 (84.501)
Epoch: [84][6890/9018]	Time 0.606 (0.613)	Data 0.001 (0.001)	Loss 1.5262 (1.6348)	Prec@1 58.500 (56.009)	Prec@5 85.000 (84.499)
Epoch: [84][6900/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.6002 (1.6347)	Prec@1 59.000 (56.013)	Prec@5 84.000 (84.501)
Epoch: [84][6910/9018]	Time 0.598 (0.613)	Data 0.001 (0.001)	Loss 1.7312 (1.6348)	Prec@1 53.000 (56.008)	Prec@5 84.500 (84.501)
Epoch: [84][6920/9018]	Time 0.614 (0.613)	Data 0.001 (0.001)	Loss 1.8586 (1.6348)	Prec@1 48.500 (56.008)	Prec@5 82.500 (84.500)
Epoch: [84][6930/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6510 (1.6348)	Prec@1 56.000 (56.006)	Prec@5 84.000 (84.500)
Epoch: [84][6940/9018]	Time 0.615 (0.613)	Data 0.001 (0.001)	Loss 1.6508 (1.6348)	Prec@1 51.000 (56.007)	Prec@5 86.000 (84.501)
Epoch: [84][6950/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.5514 (1.6348)	Prec@1 56.000 (56.005)	Prec@5 86.500 (84.501)
Epoch: [84][6960/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.5921 (1.6348)	Prec@1 55.000 (56.005)	Prec@5 86.500 (84.501)
Epoch: [84][6970/9018]	Time 0.636 (0.613)	Data 0.001 (0.001)	Loss 1.6310 (1.6347)	Prec@1 53.000 (56.006)	Prec@5 87.000 (84.502)
Epoch: [84][6980/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.7845 (1.6349)	Prec@1 53.500 (56.005)	Prec@5 81.500 (84.499)
Epoch: [84][6990/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.7972 (1.6350)	Prec@1 55.000 (56.003)	Prec@5 80.500 (84.498)
Epoch: [84][7000/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.5944 (1.6349)	Prec@1 57.000 (56.003)	Prec@5 85.000 (84.499)
Epoch: [84][7010/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 1.7582 (1.6349)	Prec@1 55.500 (56.003)	Prec@5 78.500 (84.498)
Epoch: [84][7020/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.8022 (1.6349)	Prec@1 51.000 (56.003)	Prec@5 81.500 (84.498)
Epoch: [84][7030/9018]	Time 0.591 (0.613)	Data 0.001 (0.001)	Loss 1.5803 (1.6348)	Prec@1 52.500 (56.005)	Prec@5 87.500 (84.499)
Epoch: [84][7040/9018]	Time 0.718 (0.613)	Data 0.001 (0.001)	Loss 1.5259 (1.6347)	Prec@1 58.500 (56.007)	Prec@5 86.000 (84.499)
Epoch: [84][7050/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.6187 (1.6347)	Prec@1 55.000 (56.007)	Prec@5 87.000 (84.499)
Epoch: [84][7060/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.6357 (1.6348)	Prec@1 53.000 (56.008)	Prec@5 86.500 (84.497)
Epoch: [84][7070/9018]	Time 0.607 (0.613)	Data 0.001 (0.001)	Loss 1.7595 (1.6349)	Prec@1 54.500 (56.006)	Prec@5 83.000 (84.496)
Epoch: [84][7080/9018]	Time 0.596 (0.613)	Data 0.001 (0.001)	Loss 1.5446 (1.6349)	Prec@1 59.000 (56.004)	Prec@5 88.500 (84.496)
Epoch: [84][7090/9018]	Time 0.717 (0.613)	Data 0.001 (0.001)	Loss 1.8197 (1.6349)	Prec@1 47.500 (56.004)	Prec@5 82.500 (84.495)
Epoch: [84][7100/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.4606 (1.6351)	Prec@1 57.500 (56.002)	Prec@5 85.500 (84.494)
Epoch: [84][7110/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.6954 (1.6351)	Prec@1 56.000 (56.003)	Prec@5 86.000 (84.494)
Epoch: [84][7120/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.5753 (1.6350)	Prec@1 54.500 (56.003)	Prec@5 87.000 (84.496)
Epoch: [84][7130/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.7777 (1.6351)	Prec@1 56.000 (55.999)	Prec@5 80.000 (84.493)
Epoch: [84][7140/9018]	Time 0.625 (0.613)	Data 0.001 (0.001)	Loss 1.6282 (1.6351)	Prec@1 52.000 (56.000)	Prec@5 84.500 (84.493)
Epoch: [84][7150/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.5655 (1.6351)	Prec@1 58.000 (55.999)	Prec@5 83.500 (84.491)
Epoch: [84][7160/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.4556 (1.6352)	Prec@1 59.000 (55.999)	Prec@5 87.500 (84.490)
Epoch: [84][7170/9018]	Time 0.617 (0.613)	Data 0.001 (0.001)	Loss 1.5893 (1.6352)	Prec@1 54.500 (55.997)	Prec@5 83.000 (84.488)
Epoch: [84][7180/9018]	Time 0.602 (0.613)	Data 0.001 (0.001)	Loss 1.8672 (1.6353)	Prec@1 50.000 (55.995)	Prec@5 80.500 (84.487)
Epoch: [84][7190/9018]	Time 0.620 (0.613)	Data 0.001 (0.001)	Loss 1.7090 (1.6353)	Prec@1 53.000 (55.993)	Prec@5 82.000 (84.486)
Epoch: [84][7200/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.6596 (1.6354)	Prec@1 55.500 (55.993)	Prec@5 83.500 (84.485)
Epoch: [84][7210/9018]	Time 0.593 (0.613)	Data 0.001 (0.001)	Loss 1.6786 (1.6355)	Prec@1 53.000 (55.991)	Prec@5 85.000 (84.484)
Epoch: [84][7220/9018]	Time 0.630 (0.613)	Data 0.001 (0.001)	Loss 1.4903 (1.6356)	Prec@1 61.000 (55.990)	Prec@5 88.000 (84.482)
Epoch: [84][7230/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.7466 (1.6356)	Prec@1 54.000 (55.988)	Prec@5 81.000 (84.481)
Epoch: [84][7240/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.6306 (1.6357)	Prec@1 53.500 (55.985)	Prec@5 87.000 (84.480)
Epoch: [84][7250/9018]	Time 0.613 (0.613)	Data 0.001 (0.001)	Loss 1.4782 (1.6357)	Prec@1 60.500 (55.986)	Prec@5 83.000 (84.480)
Epoch: [84][7260/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 2.0519 (1.6358)	Prec@1 44.500 (55.986)	Prec@5 81.000 (84.478)
Epoch: [84][7270/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.5225 (1.6358)	Prec@1 61.000 (55.988)	Prec@5 85.500 (84.477)
Epoch: [84][7280/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.4584 (1.6358)	Prec@1 62.000 (55.987)	Prec@5 87.000 (84.478)
Epoch: [84][7290/9018]	Time 0.601 (0.613)	Data 0.001 (0.001)	Loss 1.5941 (1.6358)	Prec@1 53.000 (55.986)	Prec@5 83.500 (84.478)
Epoch: [84][7300/9018]	Time 0.626 (0.613)	Data 0.001 (0.001)	Loss 1.6534 (1.6359)	Prec@1 51.500 (55.981)	Prec@5 82.000 (84.477)
Epoch: [84][7310/9018]	Time 0.600 (0.613)	Data 0.001 (0.001)	Loss 1.6968 (1.6359)	Prec@1 53.000 (55.981)	Prec@5 84.500 (84.477)
Epoch: [84][7320/9018]	Time 0.603 (0.613)	Data 0.001 (0.001)	Loss 1.7105 (1.6359)	Prec@1 53.000 (55.979)	Prec@5 83.500 (84.476)
Epoch: [84][7330/9018]	Time 0.597 (0.613)	Data 0.001 (0.001)	Loss 1.4881 (1.6360)	Prec@1 61.000 (55.981)	Prec@5 89.000 (84.476)
Epoch: [84][7340/9018]	Time 0.599 (0.613)	Data 0.001 (0.001)	Loss 1.6158 (1.6360)	Prec@1 56.000 (55.980)	Prec@5 84.000 (84.476)
Epoch: [84][7350/9018]	Time 0.595 (0.613)	Data 0.001 (0.001)	Loss 1.6979 (1.6360)	Prec@1 58.500 (55.979)	Prec@5 84.000 (84.475)
Epoch: [84][7360/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.6194 (1.6360)	Prec@1 52.500 (55.978)	Prec@5 89.000 (84.477)
Epoch: [84][7370/9018]	Time 0.715 (0.614)	Data 0.001 (0.001)	Loss 1.6493 (1.6359)	Prec@1 55.000 (55.978)	Prec@5 86.500 (84.478)
Epoch: [84][7380/9018]	Time 0.604 (0.613)	Data 0.001 (0.001)	Loss 1.5821 (1.6359)	Prec@1 55.500 (55.980)	Prec@5 85.500 (84.479)
Epoch: [84][7390/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.6999 (1.6359)	Prec@1 57.500 (55.980)	Prec@5 82.000 (84.480)
Epoch: [84][7400/9018]	Time 0.633 (0.613)	Data 0.001 (0.001)	Loss 1.7436 (1.6360)	Prec@1 52.500 (55.978)	Prec@5 87.500 (84.479)
Epoch: [84][7410/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.6174 (1.6359)	Prec@1 56.000 (55.980)	Prec@5 84.500 (84.480)
Epoch: [84][7420/9018]	Time 0.744 (0.614)	Data 0.001 (0.001)	Loss 1.6454 (1.6360)	Prec@1 58.500 (55.978)	Prec@5 83.500 (84.480)
Epoch: [84][7430/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.6959 (1.6361)	Prec@1 54.500 (55.977)	Prec@5 84.000 (84.477)
Epoch: [84][7440/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.5181 (1.6360)	Prec@1 63.500 (55.977)	Prec@5 85.000 (84.477)
Epoch: [84][7450/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.6591 (1.6360)	Prec@1 53.000 (55.978)	Prec@5 85.000 (84.478)
Epoch: [84][7460/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.7996 (1.6360)	Prec@1 53.500 (55.979)	Prec@5 81.000 (84.477)
Epoch: [84][7470/9018]	Time 0.615 (0.614)	Data 0.001 (0.001)	Loss 1.6425 (1.6360)	Prec@1 55.000 (55.978)	Prec@5 85.000 (84.477)
Epoch: [84][7480/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.4800 (1.6360)	Prec@1 56.500 (55.976)	Prec@5 84.500 (84.477)
Epoch: [84][7490/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.4046 (1.6360)	Prec@1 57.500 (55.975)	Prec@5 90.500 (84.478)
Epoch: [84][7500/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.8296 (1.6361)	Prec@1 50.000 (55.974)	Prec@5 82.500 (84.477)
Epoch: [84][7510/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.7888 (1.6362)	Prec@1 51.500 (55.973)	Prec@5 82.000 (84.474)
Epoch: [84][7520/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.8236 (1.6363)	Prec@1 53.500 (55.971)	Prec@5 79.500 (84.473)
Epoch: [84][7530/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 1.4778 (1.6363)	Prec@1 63.000 (55.971)	Prec@5 84.500 (84.474)
Epoch: [84][7540/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.7641 (1.6363)	Prec@1 54.000 (55.973)	Prec@5 83.500 (84.475)
Epoch: [84][7550/9018]	Time 0.652 (0.614)	Data 0.001 (0.001)	Loss 1.6368 (1.6363)	Prec@1 58.000 (55.973)	Prec@5 84.000 (84.474)
Epoch: [84][7560/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.6705 (1.6363)	Prec@1 54.500 (55.972)	Prec@5 83.000 (84.475)
Epoch: [84][7570/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.5175 (1.6364)	Prec@1 57.500 (55.969)	Prec@5 87.500 (84.474)
Epoch: [84][7580/9018]	Time 0.619 (0.614)	Data 0.001 (0.001)	Loss 1.4569 (1.6364)	Prec@1 56.500 (55.967)	Prec@5 87.000 (84.474)
Epoch: [84][7590/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 2.0343 (1.6365)	Prec@1 51.500 (55.964)	Prec@5 77.000 (84.472)
Epoch: [84][7600/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.5785 (1.6365)	Prec@1 51.500 (55.964)	Prec@5 84.500 (84.473)
Epoch: [84][7610/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 1.7404 (1.6365)	Prec@1 53.000 (55.965)	Prec@5 83.500 (84.474)
Epoch: [84][7620/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.6289 (1.6366)	Prec@1 58.000 (55.962)	Prec@5 83.500 (84.472)
Epoch: [84][7630/9018]	Time 0.624 (0.614)	Data 0.001 (0.001)	Loss 1.7551 (1.6365)	Prec@1 52.500 (55.963)	Prec@5 85.000 (84.473)
Epoch: [84][7640/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.5585 (1.6365)	Prec@1 55.500 (55.962)	Prec@5 87.500 (84.474)
Epoch: [84][7650/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.5717 (1.6366)	Prec@1 56.500 (55.962)	Prec@5 86.000 (84.474)
Epoch: [84][7660/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.6707 (1.6366)	Prec@1 55.500 (55.960)	Prec@5 83.500 (84.472)
Epoch: [84][7670/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.5366 (1.6367)	Prec@1 60.500 (55.958)	Prec@5 84.500 (84.470)
Epoch: [84][7680/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.7826 (1.6367)	Prec@1 53.500 (55.956)	Prec@5 81.500 (84.470)
Epoch: [84][7690/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.7798 (1.6368)	Prec@1 51.000 (55.955)	Prec@5 82.500 (84.468)
Epoch: [84][7700/9018]	Time 0.738 (0.614)	Data 0.001 (0.001)	Loss 1.6928 (1.6368)	Prec@1 56.000 (55.955)	Prec@5 83.500 (84.468)
Epoch: [84][7710/9018]	Time 0.641 (0.614)	Data 0.001 (0.001)	Loss 1.6738 (1.6368)	Prec@1 55.500 (55.954)	Prec@5 81.500 (84.468)
Epoch: [84][7720/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.6774 (1.6368)	Prec@1 53.500 (55.952)	Prec@5 83.000 (84.467)
Epoch: [84][7730/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 1.6272 (1.6369)	Prec@1 57.000 (55.949)	Prec@5 86.500 (84.466)
Epoch: [84][7740/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.5611 (1.6369)	Prec@1 55.000 (55.950)	Prec@5 85.000 (84.468)
Epoch: [84][7750/9018]	Time 0.731 (0.614)	Data 0.001 (0.001)	Loss 1.6195 (1.6369)	Prec@1 58.500 (55.949)	Prec@5 81.500 (84.467)
Epoch: [84][7760/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 1.7641 (1.6369)	Prec@1 49.000 (55.948)	Prec@5 81.500 (84.466)
Epoch: [84][7770/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.6779 (1.6369)	Prec@1 54.000 (55.947)	Prec@5 84.000 (84.467)
Epoch: [84][7780/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 1.7751 (1.6369)	Prec@1 53.000 (55.948)	Prec@5 86.500 (84.466)
Epoch: [84][7790/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.7333 (1.6369)	Prec@1 57.000 (55.950)	Prec@5 80.000 (84.467)
Epoch: [84][7800/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.6281 (1.6368)	Prec@1 57.000 (55.951)	Prec@5 87.000 (84.470)
Epoch: [84][7810/9018]	Time 0.654 (0.614)	Data 0.001 (0.001)	Loss 1.6604 (1.6368)	Prec@1 55.500 (55.952)	Prec@5 86.000 (84.470)
Epoch: [84][7820/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.7565 (1.6369)	Prec@1 53.000 (55.951)	Prec@5 81.500 (84.470)
Epoch: [84][7830/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.5117 (1.6370)	Prec@1 56.000 (55.946)	Prec@5 86.000 (84.469)
Epoch: [84][7840/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 1.6153 (1.6368)	Prec@1 52.000 (55.949)	Prec@5 85.500 (84.472)
Epoch: [84][7850/9018]	Time 0.631 (0.614)	Data 0.001 (0.001)	Loss 1.3698 (1.6369)	Prec@1 60.500 (55.947)	Prec@5 86.500 (84.472)
Epoch: [84][7860/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.5684 (1.6368)	Prec@1 59.500 (55.949)	Prec@5 86.000 (84.473)
Epoch: [84][7870/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.7243 (1.6369)	Prec@1 52.000 (55.947)	Prec@5 85.500 (84.471)
Epoch: [84][7880/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 1.5886 (1.6369)	Prec@1 60.500 (55.947)	Prec@5 87.000 (84.473)
Epoch: [84][7890/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.7096 (1.6369)	Prec@1 52.500 (55.947)	Prec@5 84.000 (84.472)
Epoch: [84][7900/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.6461 (1.6369)	Prec@1 54.000 (55.946)	Prec@5 87.000 (84.472)
Epoch: [84][7910/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 1.6435 (1.6369)	Prec@1 55.500 (55.946)	Prec@5 82.000 (84.474)
Epoch: [84][7920/9018]	Time 0.614 (0.614)	Data 0.001 (0.001)	Loss 1.7005 (1.6369)	Prec@1 57.000 (55.947)	Prec@5 82.000 (84.472)
Epoch: [84][7930/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.5863 (1.6368)	Prec@1 57.000 (55.950)	Prec@5 87.500 (84.473)
Epoch: [84][7940/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.8429 (1.6369)	Prec@1 52.500 (55.949)	Prec@5 79.000 (84.472)
Epoch: [84][7950/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.6233 (1.6369)	Prec@1 60.500 (55.949)	Prec@5 85.000 (84.472)
Epoch: [84][7960/9018]	Time 0.629 (0.614)	Data 0.001 (0.001)	Loss 1.7092 (1.6369)	Prec@1 57.000 (55.948)	Prec@5 83.500 (84.472)
Epoch: [84][7970/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 1.6229 (1.6368)	Prec@1 57.500 (55.950)	Prec@5 85.000 (84.473)
Epoch: [84][7980/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.8921 (1.6369)	Prec@1 49.000 (55.951)	Prec@5 79.500 (84.472)
Epoch: [84][7990/9018]	Time 0.610 (0.614)	Data 0.001 (0.001)	Loss 1.4825 (1.6369)	Prec@1 61.000 (55.951)	Prec@5 85.500 (84.471)
Epoch: [84][8000/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.3949 (1.6370)	Prec@1 63.000 (55.948)	Prec@5 89.000 (84.471)
Epoch: [84][8010/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.4648 (1.6370)	Prec@1 60.500 (55.947)	Prec@5 88.000 (84.470)
Epoch: [84][8020/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.7746 (1.6370)	Prec@1 50.500 (55.946)	Prec@5 83.000 (84.469)
Epoch: [84][8030/9018]	Time 0.721 (0.614)	Data 0.001 (0.001)	Loss 1.6073 (1.6371)	Prec@1 58.000 (55.943)	Prec@5 86.500 (84.467)
Epoch: [84][8040/9018]	Time 0.637 (0.614)	Data 0.001 (0.001)	Loss 1.6857 (1.6371)	Prec@1 56.500 (55.943)	Prec@5 80.500 (84.467)
Epoch: [84][8050/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.7403 (1.6372)	Prec@1 53.000 (55.943)	Prec@5 82.500 (84.466)
Epoch: [84][8060/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.5262 (1.6371)	Prec@1 57.000 (55.944)	Prec@5 87.000 (84.465)
Epoch: [84][8070/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.4870 (1.6371)	Prec@1 64.000 (55.944)	Prec@5 86.000 (84.465)
Epoch: [84][8080/9018]	Time 0.709 (0.614)	Data 0.001 (0.001)	Loss 1.6522 (1.6371)	Prec@1 56.500 (55.945)	Prec@5 86.500 (84.466)
Epoch: [84][8090/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.7249 (1.6372)	Prec@1 53.500 (55.943)	Prec@5 84.000 (84.465)
Epoch: [84][8100/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.5362 (1.6371)	Prec@1 58.500 (55.945)	Prec@5 87.500 (84.466)
Epoch: [84][8110/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 1.5658 (1.6371)	Prec@1 55.000 (55.945)	Prec@5 87.500 (84.466)
Epoch: [84][8120/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.7359 (1.6371)	Prec@1 55.000 (55.945)	Prec@5 82.000 (84.467)
Epoch: [84][8130/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.5423 (1.6371)	Prec@1 61.500 (55.946)	Prec@5 84.500 (84.466)
Epoch: [84][8140/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.8612 (1.6371)	Prec@1 53.500 (55.946)	Prec@5 80.000 (84.466)
Epoch: [84][8150/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.5843 (1.6371)	Prec@1 58.500 (55.945)	Prec@5 87.000 (84.466)
Epoch: [84][8160/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.7057 (1.6371)	Prec@1 54.500 (55.946)	Prec@5 83.000 (84.467)
Epoch: [84][8170/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 1.7353 (1.6372)	Prec@1 50.500 (55.944)	Prec@5 83.000 (84.466)
Epoch: [84][8180/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.4139 (1.6371)	Prec@1 56.500 (55.944)	Prec@5 90.000 (84.467)
Epoch: [84][8190/9018]	Time 0.635 (0.614)	Data 0.001 (0.001)	Loss 2.0407 (1.6372)	Prec@1 47.500 (55.941)	Prec@5 76.000 (84.465)
Epoch: [84][8200/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.5665 (1.6373)	Prec@1 57.500 (55.941)	Prec@5 83.000 (84.462)
Epoch: [84][8210/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.7242 (1.6373)	Prec@1 55.500 (55.939)	Prec@5 84.000 (84.462)
Epoch: [84][8220/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.5791 (1.6374)	Prec@1 57.500 (55.937)	Prec@5 89.000 (84.461)
Epoch: [84][8230/9018]	Time 0.628 (0.614)	Data 0.001 (0.001)	Loss 1.6889 (1.6373)	Prec@1 53.500 (55.937)	Prec@5 81.000 (84.460)
Epoch: [84][8240/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.4265 (1.6372)	Prec@1 58.500 (55.939)	Prec@5 86.000 (84.461)
Epoch: [84][8250/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.7644 (1.6373)	Prec@1 54.000 (55.937)	Prec@5 82.500 (84.459)
Epoch: [84][8260/9018]	Time 0.627 (0.614)	Data 0.001 (0.001)	Loss 1.6627 (1.6374)	Prec@1 51.500 (55.934)	Prec@5 83.500 (84.458)
Epoch: [84][8270/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.5302 (1.6374)	Prec@1 58.500 (55.935)	Prec@5 87.000 (84.460)
Epoch: [84][8280/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.7547 (1.6373)	Prec@1 53.000 (55.936)	Prec@5 81.500 (84.460)
Epoch: [84][8290/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.6271 (1.6373)	Prec@1 57.500 (55.936)	Prec@5 85.000 (84.460)
Epoch: [84][8300/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.6808 (1.6374)	Prec@1 53.000 (55.934)	Prec@5 85.000 (84.458)
Epoch: [84][8310/9018]	Time 0.633 (0.614)	Data 0.001 (0.001)	Loss 1.6181 (1.6374)	Prec@1 60.000 (55.936)	Prec@5 81.500 (84.458)
Epoch: [84][8320/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.8177 (1.6374)	Prec@1 53.000 (55.935)	Prec@5 83.500 (84.458)
Epoch: [84][8330/9018]	Time 0.626 (0.614)	Data 0.001 (0.001)	Loss 1.7215 (1.6374)	Prec@1 55.500 (55.936)	Prec@5 84.000 (84.458)
Epoch: [84][8340/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.7079 (1.6374)	Prec@1 56.500 (55.934)	Prec@5 83.500 (84.458)
Epoch: [84][8350/9018]	Time 0.591 (0.614)	Data 0.001 (0.001)	Loss 1.8429 (1.6374)	Prec@1 50.500 (55.934)	Prec@5 80.000 (84.458)
Epoch: [84][8360/9018]	Time 0.733 (0.614)	Data 0.001 (0.001)	Loss 1.7759 (1.6375)	Prec@1 53.500 (55.932)	Prec@5 80.500 (84.458)
Epoch: [84][8370/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.8531 (1.6375)	Prec@1 49.500 (55.932)	Prec@5 79.500 (84.457)
Epoch: [84][8380/9018]	Time 0.634 (0.614)	Data 0.001 (0.001)	Loss 1.4028 (1.6374)	Prec@1 58.000 (55.934)	Prec@5 90.000 (84.459)
Epoch: [84][8390/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.6578 (1.6375)	Prec@1 57.000 (55.932)	Prec@5 85.500 (84.458)
Epoch: [84][8400/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.5163 (1.6374)	Prec@1 54.500 (55.933)	Prec@5 87.000 (84.460)
Epoch: [84][8410/9018]	Time 0.722 (0.614)	Data 0.001 (0.001)	Loss 1.7211 (1.6375)	Prec@1 54.500 (55.930)	Prec@5 84.000 (84.458)
Epoch: [84][8420/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.5209 (1.6375)	Prec@1 59.000 (55.931)	Prec@5 87.000 (84.458)
Epoch: [84][8430/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.4080 (1.6374)	Prec@1 62.500 (55.931)	Prec@5 86.500 (84.458)
Epoch: [84][8440/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 1.4642 (1.6375)	Prec@1 62.500 (55.930)	Prec@5 87.500 (84.457)
Epoch: [84][8450/9018]	Time 0.607 (0.614)	Data 0.001 (0.001)	Loss 1.7666 (1.6376)	Prec@1 50.000 (55.927)	Prec@5 85.000 (84.456)
Epoch: [84][8460/9018]	Time 0.623 (0.614)	Data 0.001 (0.001)	Loss 1.6595 (1.6375)	Prec@1 53.000 (55.930)	Prec@5 84.500 (84.456)
Epoch: [84][8470/9018]	Time 0.596 (0.614)	Data 0.001 (0.001)	Loss 1.5838 (1.6375)	Prec@1 57.000 (55.931)	Prec@5 85.500 (84.456)
Epoch: [84][8480/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.6811 (1.6375)	Prec@1 56.500 (55.931)	Prec@5 84.500 (84.458)
Epoch: [84][8490/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 1.7426 (1.6375)	Prec@1 52.000 (55.930)	Prec@5 81.500 (84.456)
Epoch: [84][8500/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.4853 (1.6375)	Prec@1 61.500 (55.930)	Prec@5 87.500 (84.456)
Epoch: [84][8510/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.7021 (1.6375)	Prec@1 51.500 (55.930)	Prec@5 84.000 (84.457)
Epoch: [84][8520/9018]	Time 0.620 (0.614)	Data 0.001 (0.001)	Loss 1.8195 (1.6375)	Prec@1 53.000 (55.931)	Prec@5 81.500 (84.458)
Epoch: [84][8530/9018]	Time 0.632 (0.614)	Data 0.001 (0.001)	Loss 1.7240 (1.6375)	Prec@1 55.000 (55.932)	Prec@5 83.500 (84.457)
Epoch: [84][8540/9018]	Time 0.616 (0.614)	Data 0.001 (0.001)	Loss 1.8638 (1.6376)	Prec@1 49.000 (55.931)	Prec@5 81.500 (84.456)
Epoch: [84][8550/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.7143 (1.6376)	Prec@1 54.000 (55.928)	Prec@5 84.500 (84.455)
Epoch: [84][8560/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.6707 (1.6376)	Prec@1 53.000 (55.929)	Prec@5 83.000 (84.455)
Epoch: [84][8570/9018]	Time 0.601 (0.614)	Data 0.001 (0.001)	Loss 1.5043 (1.6376)	Prec@1 59.500 (55.931)	Prec@5 89.500 (84.454)
Epoch: [84][8580/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.6015 (1.6376)	Prec@1 57.000 (55.930)	Prec@5 86.500 (84.454)
Epoch: [84][8590/9018]	Time 0.597 (0.614)	Data 0.001 (0.001)	Loss 1.8360 (1.6376)	Prec@1 49.500 (55.930)	Prec@5 83.000 (84.453)
Epoch: [84][8600/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.6175 (1.6376)	Prec@1 56.000 (55.929)	Prec@5 85.500 (84.453)
Epoch: [84][8610/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.6564 (1.6377)	Prec@1 59.000 (55.929)	Prec@5 84.500 (84.453)
Epoch: [84][8620/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.7889 (1.6377)	Prec@1 53.500 (55.929)	Prec@5 83.500 (84.453)
Epoch: [84][8630/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.5051 (1.6377)	Prec@1 61.500 (55.929)	Prec@5 86.000 (84.452)
Epoch: [84][8640/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.7206 (1.6377)	Prec@1 53.000 (55.928)	Prec@5 79.500 (84.451)
Epoch: [84][8650/9018]	Time 0.636 (0.614)	Data 0.001 (0.001)	Loss 1.6822 (1.6377)	Prec@1 57.000 (55.927)	Prec@5 82.000 (84.451)
Epoch: [84][8660/9018]	Time 0.630 (0.614)	Data 0.001 (0.001)	Loss 1.6862 (1.6377)	Prec@1 54.000 (55.927)	Prec@5 84.500 (84.452)
Epoch: [84][8670/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.5845 (1.6377)	Prec@1 58.000 (55.927)	Prec@5 85.500 (84.452)
Epoch: [84][8680/9018]	Time 0.604 (0.614)	Data 0.001 (0.001)	Loss 1.8327 (1.6377)	Prec@1 52.000 (55.927)	Prec@5 81.500 (84.451)
Epoch: [84][8690/9018]	Time 0.747 (0.614)	Data 0.001 (0.001)	Loss 1.6176 (1.6377)	Prec@1 58.500 (55.928)	Prec@5 87.500 (84.452)
Epoch: [84][8700/9018]	Time 0.592 (0.614)	Data 0.001 (0.001)	Loss 1.6091 (1.6377)	Prec@1 56.000 (55.928)	Prec@5 87.500 (84.451)
Epoch: [84][8710/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.6435 (1.6377)	Prec@1 57.500 (55.929)	Prec@5 83.000 (84.452)
Epoch: [84][8720/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.8527 (1.6378)	Prec@1 52.500 (55.928)	Prec@5 84.500 (84.452)
Epoch: [84][8730/9018]	Time 0.599 (0.614)	Data 0.001 (0.001)	Loss 1.6145 (1.6378)	Prec@1 59.000 (55.926)	Prec@5 85.500 (84.450)
Epoch: [84][8740/9018]	Time 0.715 (0.614)	Data 0.001 (0.001)	Loss 1.7845 (1.6379)	Prec@1 50.000 (55.926)	Prec@5 81.000 (84.451)
Epoch: [84][8750/9018]	Time 0.636 (0.614)	Data 0.001 (0.001)	Loss 1.7827 (1.6378)	Prec@1 52.000 (55.928)	Prec@5 81.500 (84.451)
Epoch: [84][8760/9018]	Time 0.603 (0.614)	Data 0.001 (0.001)	Loss 1.7158 (1.6378)	Prec@1 53.500 (55.927)	Prec@5 84.500 (84.451)
Epoch: [84][8770/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 2.0318 (1.6379)	Prec@1 47.500 (55.925)	Prec@5 77.500 (84.450)
Epoch: [84][8780/9018]	Time 0.605 (0.614)	Data 0.001 (0.001)	Loss 1.6551 (1.6380)	Prec@1 52.500 (55.924)	Prec@5 85.500 (84.448)
Epoch: [84][8790/9018]	Time 0.633 (0.614)	Data 0.001 (0.001)	Loss 1.6607 (1.6380)	Prec@1 55.500 (55.924)	Prec@5 85.500 (84.447)
Epoch: [84][8800/9018]	Time 0.622 (0.614)	Data 0.001 (0.001)	Loss 1.6005 (1.6380)	Prec@1 58.000 (55.923)	Prec@5 88.000 (84.448)
Epoch: [84][8810/9018]	Time 0.594 (0.614)	Data 0.001 (0.001)	Loss 1.6145 (1.6381)	Prec@1 54.500 (55.922)	Prec@5 85.000 (84.448)
Epoch: [84][8820/9018]	Time 0.593 (0.614)	Data 0.001 (0.001)	Loss 1.7734 (1.6381)	Prec@1 58.000 (55.922)	Prec@5 81.500 (84.446)
Epoch: [84][8830/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.6447 (1.6381)	Prec@1 57.000 (55.922)	Prec@5 86.000 (84.446)
Epoch: [84][8840/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.7572 (1.6381)	Prec@1 50.000 (55.921)	Prec@5 82.500 (84.447)
Epoch: [84][8850/9018]	Time 0.606 (0.614)	Data 0.001 (0.001)	Loss 1.6615 (1.6381)	Prec@1 55.000 (55.921)	Prec@5 82.000 (84.448)
Epoch: [84][8860/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.6541 (1.6381)	Prec@1 55.000 (55.922)	Prec@5 86.500 (84.447)
Epoch: [84][8870/9018]	Time 0.625 (0.614)	Data 0.001 (0.001)	Loss 1.5505 (1.6381)	Prec@1 59.000 (55.923)	Prec@5 85.500 (84.448)
Epoch: [84][8880/9018]	Time 0.609 (0.614)	Data 0.001 (0.001)	Loss 1.7221 (1.6381)	Prec@1 58.000 (55.923)	Prec@5 84.000 (84.448)
Epoch: [84][8890/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.6631 (1.6381)	Prec@1 53.500 (55.923)	Prec@5 83.500 (84.446)
Epoch: [84][8900/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.6048 (1.6381)	Prec@1 58.000 (55.924)	Prec@5 84.000 (84.446)
Epoch: [84][8910/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.9218 (1.6381)	Prec@1 50.500 (55.923)	Prec@5 76.500 (84.445)
Epoch: [84][8920/9018]	Time 0.600 (0.614)	Data 0.001 (0.001)	Loss 1.5823 (1.6381)	Prec@1 55.500 (55.921)	Prec@5 85.500 (84.443)
Epoch: [84][8930/9018]	Time 0.608 (0.614)	Data 0.001 (0.001)	Loss 1.6242 (1.6381)	Prec@1 56.000 (55.921)	Prec@5 85.500 (84.445)
Epoch: [84][8940/9018]	Time 0.595 (0.614)	Data 0.001 (0.001)	Loss 1.6286 (1.6382)	Prec@1 56.500 (55.921)	Prec@5 86.500 (84.444)
Epoch: [84][8950/9018]	Time 0.621 (0.614)	Data 0.001 (0.001)	Loss 1.5409 (1.6381)	Prec@1 58.000 (55.922)	Prec@5 85.000 (84.444)
Epoch: [84][8960/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.4785 (1.6381)	Prec@1 63.000 (55.922)	Prec@5 88.000 (84.443)
Epoch: [84][8970/9018]	Time 0.602 (0.614)	Data 0.001 (0.001)	Loss 1.6601 (1.6381)	Prec@1 57.000 (55.923)	Prec@5 84.500 (84.444)
Epoch: [84][8980/9018]	Time 0.598 (0.614)	Data 0.001 (0.001)	Loss 1.6808 (1.6382)	Prec@1 49.000 (55.919)	Prec@5 86.000 (84.444)
Epoch: [84][8990/9018]	Time 0.612 (0.614)	Data 0.001 (0.001)	Loss 1.7062 (1.6382)	Prec@1 53.000 (55.919)	Prec@5 84.000 (84.444)
Epoch: [84][9000/9018]	Time 0.611 (0.614)	Data 0.001 (0.001)	Loss 1.7997 (1.6382)	Prec@1 53.000 (55.917)	Prec@5 84.000 (84.443)
Epoch: [84][9010/9018]	Time 0.593 (0.614)	Data 0.000 (0.001)	Loss 1.5116 (1.6383)	Prec@1 60.000 (55.916)	Prec@5 86.000 (84.442)
Test: [0/183]	Time 1.604 (1.604)	Loss 2.4619 (2.4619)	Prec@1 38.000 (38.000)	Prec@5 71.500 (71.500)
Test: [10/183]	Time 0.185 (0.328)	Loss 1.6189 (1.6633)	Prec@1 62.000 (56.909)	Prec@5 85.500 (85.364)
Test: [20/183]	Time 0.189 (0.265)	Loss 1.9992 (1.6131)	Prec@1 49.500 (57.500)	Prec@5 81.000 (85.548)
Test: [30/183]	Time 0.180 (0.241)	Loss 2.2223 (1.6240)	Prec@1 33.000 (56.565)	Prec@5 78.500 (85.887)
Test: [40/183]	Time 0.186 (0.230)	Loss 2.3359 (1.6338)	Prec@1 39.500 (56.780)	Prec@5 79.500 (85.488)
Test: [50/183]	Time 0.188 (0.222)	Loss 1.4867 (1.6147)	Prec@1 57.500 (57.000)	Prec@5 88.500 (85.765)
Test: [60/183]	Time 0.188 (0.218)	Loss 2.0947 (1.6838)	Prec@1 48.000 (54.943)	Prec@5 76.500 (84.934)
Test: [70/183]	Time 0.189 (0.214)	Loss 1.6585 (1.6693)	Prec@1 54.000 (54.965)	Prec@5 85.000 (85.261)
Test: [80/183]	Time 0.200 (0.212)	Loss 1.3516 (1.6519)	Prec@1 60.500 (55.296)	Prec@5 93.000 (85.519)
Test: [90/183]	Time 0.205 (0.211)	Loss 2.1290 (1.6505)	Prec@1 46.500 (55.385)	Prec@5 75.500 (85.538)
Test: [100/183]	Time 0.184 (0.209)	Loss 0.8084 (1.6548)	Prec@1 78.000 (55.297)	Prec@5 96.000 (85.505)
Test: [110/183]	Time 0.186 (0.208)	Loss 0.7196 (1.6577)	Prec@1 79.500 (55.230)	Prec@5 98.000 (85.495)
Test: [120/183]	Time 0.185 (0.207)	Loss 2.0703 (1.6656)	Prec@1 44.500 (55.045)	Prec@5 77.000 (85.405)
Test: [130/183]	Time 0.183 (0.206)	Loss 3.0088 (1.6714)	Prec@1 18.500 (54.805)	Prec@5 67.000 (85.435)
Test: [140/183]	Time 0.185 (0.205)	Loss 1.5292 (1.6620)	Prec@1 62.000 (55.113)	Prec@5 86.000 (85.535)
Test: [150/183]	Time 0.199 (0.204)	Loss 0.5556 (1.6621)	Prec@1 84.500 (55.222)	Prec@5 98.000 (85.556)
Test: [160/183]	Time 0.190 (0.204)	Loss 1.7056 (1.6596)	Prec@1 50.000 (55.416)	Prec@5 86.000 (85.606)
Test: [170/183]	Time 0.186 (0.204)	Loss 2.1387 (1.6751)	Prec@1 29.500 (55.018)	Prec@5 82.500 (85.418)
Test: [180/183]	Time 0.184 (0.203)	Loss 2.0844 (1.6826)	Prec@1 43.500 (54.923)	Prec@5 81.000 (85.218)
 * Prec@1 54.901 Prec@5 85.200
Epoch: [85][0/9018]	Time 2.757 (2.757)	Data 2.125 (2.125)	Loss 1.7407 (1.7407)	Prec@1 56.500 (56.500)	Prec@5 80.000 (80.000)
Epoch: [85][10/9018]	Time 0.592 (0.795)	Data 0.001 (0.194)	Loss 1.5915 (1.6030)	Prec@1 60.000 (58.955)	Prec@5 85.500 (84.818)
Epoch: [85][20/9018]	Time 0.595 (0.705)	Data 0.001 (0.102)	Loss 1.6420 (1.6006)	Prec@1 57.500 (57.810)	Prec@5 84.000 (85.310)
Epoch: [85][30/9018]	Time 0.600 (0.670)	Data 0.001 (0.069)	Loss 1.8179 (1.6178)	Prec@1 47.500 (57.258)	Prec@5 78.000 (84.710)
Epoch: [85][40/9018]	Time 0.595 (0.655)	Data 0.001 (0.053)	Loss 1.6089 (1.6166)	Prec@1 56.000 (57.207)	Prec@5 86.500 (84.598)
Epoch: [85][50/9018]	Time 0.600 (0.647)	Data 0.001 (0.042)	Loss 1.5098 (1.6076)	Prec@1 58.500 (57.206)	Prec@5 88.000 (84.814)
Epoch: [85][60/9018]	Time 0.628 (0.642)	Data 0.001 (0.036)	Loss 1.6015 (1.6034)	Prec@1 58.500 (57.115)	Prec@5 86.500 (85.066)
Epoch: [85][70/9018]	Time 0.593 (0.639)	Data 0.001 (0.031)	Loss 1.4197 (1.6009)	Prec@1 60.500 (57.099)	Prec@5 88.000 (85.070)
Epoch: [85][80/9018]	Time 0.626 (0.635)	Data 0.001 (0.027)	Loss 1.5648 (1.6004)	Prec@1 54.500 (57.111)	Prec@5 85.000 (84.957)
Epoch: [85][90/9018]	Time 0.628 (0.634)	Data 0.001 (0.024)	Loss 1.7800 (1.6021)	Prec@1 54.500 (57.027)	Prec@5 86.000 (85.077)
Epoch: [85][100/9018]	Time 0.600 (0.631)	Data 0.001 (0.022)	Loss 1.5615 (1.5995)	Prec@1 56.000 (57.035)	Prec@5 82.000 (85.129)
Epoch: [85][110/9018]	Time 0.601 (0.630)	Data 0.001 (0.020)	Loss 1.5063 (1.6045)	Prec@1 59.000 (56.959)	Prec@5 87.000 (85.081)
Epoch: [85][120/9018]	Time 0.612 (0.629)	Data 0.001 (0.018)	Loss 1.4439 (1.6016)	Prec@1 61.500 (57.116)	Prec@5 89.000 (85.128)
Epoch: [85][130/9018]	Time 0.609 (0.627)	Data 0.001 (0.017)	Loss 1.6111 (1.6069)	Prec@1 62.500 (57.076)	Prec@5 86.000 (85.015)
Epoch: [85][140/9018]	Time 0.592 (0.626)	Data 0.001 (0.016)	Loss 1.8401 (1.6082)	Prec@1 54.000 (57.032)	Prec@5 81.500 (84.915)
Epoch: [85][150/9018]	Time 0.755 (0.626)	Data 0.001 (0.015)	Loss 1.5812 (1.6062)	Prec@1 55.000 (57.046)	Prec@5 84.500 (85.000)
Epoch: [85][160/9018]	Time 0.631 (0.626)	Data 0.001 (0.014)	Loss 1.6939 (1.6103)	Prec@1 55.500 (56.988)	Prec@5 84.000 (84.904)
Epoch: [85][170/9018]	Time 0.623 (0.626)	Data 0.001 (0.013)	Loss 1.7616 (1.6102)	Prec@1 53.500 (56.912)	Prec@5 83.500 (84.921)
Epoch: [85][180/9018]	Time 0.617 (0.625)	Data 0.001 (0.013)	Loss 1.5827 (1.6117)	Prec@1 54.000 (56.815)	Prec@5 84.000 (84.881)
Epoch: [85][190/9018]	Time 0.602 (0.624)	Data 0.001 (0.012)	Loss 1.5268 (1.6112)	Prec@1 63.500 (56.869)	Prec@5 85.500 (84.859)
Epoch: [85][200/9018]	Time 0.728 (0.625)	Data 0.001 (0.011)	Loss 1.3991 (1.6118)	Prec@1 61.000 (56.838)	Prec@5 90.500 (84.903)
Epoch: [85][210/9018]	Time 0.597 (0.623)	Data 0.001 (0.011)	Loss 1.6356 (1.6112)	Prec@1 56.000 (56.825)	Prec@5 87.000 (84.919)
Epoch: [85][220/9018]	Time 0.608 (0.623)	Data 0.001 (0.010)	Loss 1.4884 (1.6147)	Prec@1 57.500 (56.810)	Prec@5 88.500 (84.835)
Epoch: [85][230/9018]	Time 0.617 (0.623)	Data 0.001 (0.010)	Loss 1.4710 (1.6135)	Prec@1 62.500 (56.829)	Prec@5 85.500 (84.866)
Epoch: [85][240/9018]	Time 0.601 (0.623)	Data 0.001 (0.010)	Loss 1.6201 (1.6134)	Prec@1 59.500 (56.869)	Prec@5 85.500 (84.859)
Epoch: [85][250/9018]	Time 0.647 (0.623)	Data 0.001 (0.009)	Loss 1.3718 (1.6131)	Prec@1 63.000 (56.865)	Prec@5 88.000 (84.837)
Epoch: [85][260/9018]	Time 0.594 (0.622)	Data 0.001 (0.009)	Loss 1.6009 (1.6128)	Prec@1 55.500 (56.868)	Prec@5 85.000 (84.843)
Epoch: [85][270/9018]	Time 0.591 (0.622)	Data 0.001 (0.009)	Loss 1.5890 (1.6125)	Prec@1 54.500 (56.867)	Prec@5 86.000 (84.858)
Epoch: [85][280/9018]	Time 0.597 (0.621)	Data 0.001 (0.008)	Loss 1.7855 (1.6140)	Prec@1 53.500 (56.813)	Prec@5 79.000 (84.829)
Epoch: [85][290/9018]	Time 0.595 (0.621)	Data 0.001 (0.008)	Loss 1.7572 (1.6140)	Prec@1 57.500 (56.801)	Prec@5 82.000 (84.856)
Epoch: [85][300/9018]	Time 0.592 (0.621)	Data 0.001 (0.008)	Loss 1.6947 (1.6157)	Prec@1 51.500 (56.719)	Prec@5 84.500 (84.814)
Epoch: [85][310/9018]	Time 0.622 (0.621)	Data 0.001 (0.008)	Loss 1.6358 (1.6147)	Prec@1 55.000 (56.725)	Prec@5 83.000 (84.859)
Epoch: [85][320/9018]	Time 0.622 (0.621)	Data 0.001 (0.007)	Loss 1.9174 (1.6148)	Prec@1 50.500 (56.735)	Prec@5 82.000 (84.860)
Epoch: [85][330/9018]	Time 0.602 (0.620)	Data 0.001 (0.007)	Loss 1.4475 (1.6159)	Prec@1 61.500 (56.684)	Prec@5 89.000 (84.844)
Epoch: [85][340/9018]	Time 0.602 (0.620)	Data 0.001 (0.007)	Loss 1.5493 (1.6175)	Prec@1 56.000 (56.626)	Prec@5 87.000 (84.820)
Epoch: [85][350/9018]	Time 0.628 (0.620)	Data 0.001 (0.007)	Loss 1.8101 (1.6200)	Prec@1 54.500 (56.611)	Prec@5 81.500 (84.775)
Epoch: [85][360/9018]	Time 0.602 (0.620)	Data 0.001 (0.007)	Loss 1.6631 (1.6179)	Prec@1 53.500 (56.607)	Prec@5 81.500 (84.802)
Epoch: [85][370/9018]	Time 0.618 (0.620)	Data 0.001 (0.006)	Loss 1.4674 (1.6181)	Prec@1 65.000 (56.631)	Prec@5 87.000 (84.788)
Epoch: [85][380/9018]	Time 0.604 (0.620)	Data 0.001 (0.006)	Loss 1.6693 (1.6191)	Prec@1 53.000 (56.617)	Prec@5 84.500 (84.768)
Epoch: [85][390/9018]	Time 0.600 (0.620)	Data 0.001 (0.006)	Loss 1.7899 (1.6197)	Prec@1 52.500 (56.597)	Prec@5 81.500 (84.743)
Epoch: [85][400/9018]	Time 0.639 (0.620)	Data 0.001 (0.006)	Loss 1.5581 (1.6183)	Prec@1 55.000 (56.632)	Prec@5 83.000 (84.754)
Epoch: [85][410/9018]	Time 0.592 (0.620)	Data 0.001 (0.006)	Loss 1.4982 (1.6197)	Prec@1 58.500 (56.556)	Prec@5 83.000 (84.741)
Epoch: [85][420/9018]	Time 0.611 (0.620)	Data 0.001 (0.006)	Loss 1.4569 (1.6203)	Prec@1 63.000 (56.563)	Prec@5 87.500 (84.735)
Epoch: [85][430/9018]	Time 0.602 (0.619)	Data 0.001 (0.006)	Loss 1.6163 (1.6203)	Prec@1 54.000 (56.555)	Prec@5 84.500 (84.726)
Epoch: [85][440/9018]	Time 0.604 (0.619)	Data 0.001 (0.006)	Loss 1.4390 (1.6217)	Prec@1 58.500 (56.523)	Prec@5 87.000 (84.689)
Epoch: [85][450/9018]	Time 0.593 (0.619)	Data 0.001 (0.005)	Loss 1.4699 (1.6200)	Prec@1 59.500 (56.551)	Prec@5 87.500 (84.725)
Epoch: [85][460/9018]	Time 0.605 (0.619)	Data 0.001 (0.005)	Loss 1.6680 (1.6194)	Prec@1 56.000 (56.555)	Prec@5 84.000 (84.743)
Epoch: [85][470/9018]	Time 0.613 (0.619)	Data 0.001 (0.005)	Loss 1.7513 (1.6188)	Prec@1 53.500 (56.580)	Prec@5 82.500 (84.735)
Epoch: [85][480/9018]	Time 0.732 (0.619)	Data 0.001 (0.005)	Loss 1.6692 (1.6190)	Prec@1 55.500 (56.560)	Prec@5 83.500 (84.735)
Epoch: [85][490/9018]	Time 0.612 (0.619)	Data 0.001 (0.005)	Loss 1.6448 (1.6196)	Prec@1 55.000 (56.534)	Prec@5 85.500 (84.722)
Epoch: [85][500/9018]	Time 0.592 (0.619)	Data 0.001 (0.005)	Loss 1.4914 (1.6195)	Prec@1 54.500 (56.539)	Prec@5 87.000 (84.737)
Epoch: [85][510/9018]	Time 0.595 (0.618)	Data 0.001 (0.005)	Loss 1.6294 (1.6189)	Prec@1 53.000 (56.537)	Prec@5 86.500 (84.750)
Epoch: [85][520/9018]	Time 0.596 (0.618)	Data 0.001 (0.005)	Loss 1.7256 (1.6187)	Prec@1 55.500 (56.550)	Prec@5 82.000 (84.742)
Epoch: [85][530/9018]	Time 0.723 (0.618)	Data 0.001 (0.005)	Loss 1.5700 (1.6182)	Prec@1 58.000 (56.537)	Prec@5 83.500 (84.732)
Epoch: [85][540/9018]	Time 0.629 (0.618)	Data 0.001 (0.005)	Loss 1.9099 (1.6179)	Prec@1 53.000 (56.532)	Prec@5 78.500 (84.740)
Epoch: [85][550/9018]	Time 0.601 (0.618)	Data 0.001 (0.005)	Loss 1.7787 (1.6201)	Prec@1 47.000 (56.454)	Prec@5 84.000 (84.719)
Epoch: [85][560/9018]	Time 0.592 (0.618)	Data 0.001 (0.005)	Loss 1.6781 (1.6205)	Prec@1 56.000 (56.451)	Prec@5 84.500 (84.707)
Epoch: [85][570/9018]	Time 0.597 (0.618)	Data 0.001 (0.004)	Loss 1.8392 (1.6200)	Prec@1 49.500 (56.447)	Prec@5 85.000 (84.727)
Epoch: [85][580/9018]	Time 0.596 (0.618)	Data 0.001 (0.004)	Loss 1.6334 (1.6200)	Prec@1 56.000 (56.453)	Prec@5 85.000 (84.724)
Epoch: [85][590/9018]	Time 0.612 (0.618)	Data 0.001 (0.004)	Loss 1.6172 (1.6201)	Prec@1 61.500 (56.470)	Prec@5 82.000 (84.722)
Epoch: [85][600/9018]	Time 0.607 (0.618)	Data 0.001 (0.004)	Loss 1.5803 (1.6199)	Prec@1 61.000 (56.473)	Prec@5 87.500 (84.714)
Epoch: [85][610/9018]	Time 0.600 (0.618)	Data 0.001 (0.004)	Loss 1.6472 (1.6200)	Prec@1 57.500 (56.483)	Prec@5 84.000 (84.715)
Epoch: [85][620/9018]	Time 0.609 (0.618)	Data 0.001 (0.004)	Loss 1.6782 (1.6204)	Prec@1 49.500 (56.468)	Prec@5 83.500 (84.709)
Epoch: [85][630/9018]	Time 0.609 (0.618)	Data 0.001 (0.004)	Loss 1.7955 (1.6206)	Prec@1 52.000 (56.463)	Prec@5 78.500 (84.699)
Epoch: [85][640/9018]	Time 0.607 (0.618)	Data 0.001 (0.004)	Loss 1.4772 (1.6206)	Prec@1 57.500 (56.476)	Prec@5 86.500 (84.697)
Epoch: [85][650/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 1.5418 (1.6212)	Prec@1 58.000 (56.455)	Prec@5 87.500 (84.676)
Epoch: [85][660/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 1.4804 (1.6200)	Prec@1 56.000 (56.480)	Prec@5 89.000 (84.700)
Epoch: [85][670/9018]	Time 0.603 (0.617)	Data 0.001 (0.004)	Loss 1.6164 (1.6206)	Prec@1 57.000 (56.461)	Prec@5 88.500 (84.704)
Epoch: [85][680/9018]	Time 0.640 (0.617)	Data 0.001 (0.004)	Loss 1.7359 (1.6203)	Prec@1 57.000 (56.457)	Prec@5 82.000 (84.710)
Epoch: [85][690/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 1.5725 (1.6204)	Prec@1 56.000 (56.448)	Prec@5 86.500 (84.711)
Epoch: [85][700/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 1.5946 (1.6196)	Prec@1 54.500 (56.472)	Prec@5 83.500 (84.705)
Epoch: [85][710/9018]	Time 0.624 (0.617)	Data 0.001 (0.004)	Loss 1.4807 (1.6198)	Prec@1 59.000 (56.449)	Prec@5 88.000 (84.710)
Epoch: [85][720/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 1.7068 (1.6202)	Prec@1 54.000 (56.419)	Prec@5 84.500 (84.705)
Epoch: [85][730/9018]	Time 0.593 (0.617)	Data 0.001 (0.004)	Loss 1.7024 (1.6204)	Prec@1 52.000 (56.415)	Prec@5 84.000 (84.701)
Epoch: [85][740/9018]	Time 0.609 (0.617)	Data 0.001 (0.004)	Loss 1.5449 (1.6213)	Prec@1 56.500 (56.397)	Prec@5 83.500 (84.682)
Epoch: [85][750/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 1.8285 (1.6218)	Prec@1 51.500 (56.385)	Prec@5 82.500 (84.673)
Epoch: [85][760/9018]	Time 0.617 (0.617)	Data 0.001 (0.004)	Loss 1.7325 (1.6224)	Prec@1 49.000 (56.368)	Prec@5 86.000 (84.665)
Epoch: [85][770/9018]	Time 0.598 (0.617)	Data 0.001 (0.004)	Loss 1.4718 (1.6220)	Prec@1 61.000 (56.387)	Prec@5 86.500 (84.669)
Epoch: [85][780/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 1.5762 (1.6216)	Prec@1 54.000 (56.392)	Prec@5 85.000 (84.668)
Epoch: [85][790/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 1.8314 (1.6221)	Prec@1 55.500 (56.378)	Prec@5 79.500 (84.650)
Epoch: [85][800/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 1.4612 (1.6217)	Prec@1 59.500 (56.373)	Prec@5 85.500 (84.655)
Epoch: [85][810/9018]	Time 0.731 (0.617)	Data 0.001 (0.003)	Loss 1.3507 (1.6210)	Prec@1 61.500 (56.391)	Prec@5 89.000 (84.668)
Epoch: [85][820/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 1.6934 (1.6204)	Prec@1 60.000 (56.418)	Prec@5 84.000 (84.678)
Epoch: [85][830/9018]	Time 0.595 (0.617)	Data 0.001 (0.003)	Loss 1.5967 (1.6204)	Prec@1 55.000 (56.405)	Prec@5 87.500 (84.693)
Epoch: [85][840/9018]	Time 0.605 (0.617)	Data 0.001 (0.003)	Loss 1.6262 (1.6202)	Prec@1 58.000 (56.408)	Prec@5 84.000 (84.699)
Epoch: [85][850/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 1.5456 (1.6204)	Prec@1 59.000 (56.411)	Prec@5 85.000 (84.704)
Epoch: [85][860/9018]	Time 0.731 (0.617)	Data 0.001 (0.003)	Loss 1.5692 (1.6204)	Prec@1 59.500 (56.417)	Prec@5 86.000 (84.709)
Epoch: [85][870/9018]	Time 0.604 (0.617)	Data 0.001 (0.003)	Loss 1.4704 (1.6202)	Prec@1 64.000 (56.423)	Prec@5 86.500 (84.711)
Epoch: [85][880/9018]	Time 0.598 (0.617)	Data 0.001 (0.003)	Loss 1.6060 (1.6198)	Prec@1 58.000 (56.436)	Prec@5 86.500 (84.717)
Epoch: [85][890/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 1.6748 (1.6206)	Prec@1 51.000 (56.421)	Prec@5 84.000 (84.700)
Epoch: [85][900/9018]	Time 0.606 (0.617)	Data 0.002 (0.003)	Loss 1.6585 (1.6208)	Prec@1 58.500 (56.435)	Prec@5 83.000 (84.694)
Epoch: [85][910/9018]	Time 0.620 (0.617)	Data 0.001 (0.003)	Loss 1.3703 (1.6199)	Prec@1 62.500 (56.467)	Prec@5 89.000 (84.709)
Epoch: [85][920/9018]	Time 0.632 (0.617)	Data 0.001 (0.003)	Loss 1.6524 (1.6195)	Prec@1 56.000 (56.489)	Prec@5 84.500 (84.714)
Epoch: [85][930/9018]	Time 0.631 (0.617)	Data 0.001 (0.003)	Loss 1.5275 (1.6195)	Prec@1 56.500 (56.485)	Prec@5 85.500 (84.708)
Epoch: [85][940/9018]	Time 0.596 (0.617)	Data 0.001 (0.003)	Loss 1.5689 (1.6191)	Prec@1 56.000 (56.488)	Prec@5 90.000 (84.728)
Epoch: [85][950/9018]	Time 0.608 (0.617)	Data 0.001 (0.003)	Loss 1.4455 (1.6191)	Prec@1 60.500 (56.487)	Prec@5 87.000 (84.734)
Epoch: [85][960/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.6732 (1.6188)	Prec@1 53.000 (56.481)	Prec@5 83.500 (84.744)
Epoch: [85][970/9018]	Time 0.622 (0.616)	Data 0.001 (0.003)	Loss 1.5743 (1.6189)	Prec@1 57.500 (56.487)	Prec@5 85.000 (84.739)
Epoch: [85][980/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 1.4931 (1.6191)	Prec@1 59.000 (56.486)	Prec@5 83.500 (84.730)
Epoch: [85][990/9018]	Time 0.618 (0.617)	Data 0.001 (0.003)	Loss 1.6651 (1.6194)	Prec@1 57.000 (56.468)	Prec@5 86.000 (84.731)
Epoch: [85][1000/9018]	Time 0.591 (0.617)	Data 0.001 (0.003)	Loss 1.6630 (1.6200)	Prec@1 54.000 (56.464)	Prec@5 84.500 (84.717)
Epoch: [85][1010/9018]	Time 0.592 (0.617)	Data 0.001 (0.003)	Loss 1.5144 (1.6202)	Prec@1 57.000 (56.454)	Prec@5 86.500 (84.712)
Epoch: [85][1020/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.6695 (1.6200)	Prec@1 56.000 (56.459)	Prec@5 83.500 (84.717)
Epoch: [85][1030/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.7568 (1.6201)	Prec@1 54.000 (56.454)	Prec@5 82.500 (84.713)
Epoch: [85][1040/9018]	Time 0.624 (0.616)	Data 0.001 (0.003)	Loss 1.5948 (1.6200)	Prec@1 59.000 (56.463)	Prec@5 84.500 (84.710)
Epoch: [85][1050/9018]	Time 0.599 (0.616)	Data 0.001 (0.003)	Loss 1.4021 (1.6195)	Prec@1 61.000 (56.480)	Prec@5 88.500 (84.712)
Epoch: [85][1060/9018]	Time 0.628 (0.617)	Data 0.001 (0.003)	Loss 1.4792 (1.6189)	Prec@1 59.000 (56.475)	Prec@5 88.000 (84.730)
Epoch: [85][1070/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.6721 (1.6198)	Prec@1 54.500 (56.457)	Prec@5 84.500 (84.710)
Epoch: [85][1080/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.9347 (1.6196)	Prec@1 51.000 (56.467)	Prec@5 81.500 (84.716)
Epoch: [85][1090/9018]	Time 0.628 (0.616)	Data 0.001 (0.003)	Loss 1.6514 (1.6202)	Prec@1 59.500 (56.456)	Prec@5 84.000 (84.697)
Epoch: [85][1100/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 1.6143 (1.6201)	Prec@1 54.500 (56.447)	Prec@5 84.500 (84.698)
Epoch: [85][1110/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 1.7939 (1.6206)	Prec@1 54.500 (56.439)	Prec@5 81.000 (84.685)
Epoch: [85][1120/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.3756 (1.6199)	Prec@1 59.500 (56.450)	Prec@5 89.500 (84.691)
Epoch: [85][1130/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 1.8015 (1.6199)	Prec@1 45.500 (56.445)	Prec@5 84.500 (84.693)
Epoch: [85][1140/9018]	Time 0.707 (0.616)	Data 0.001 (0.003)	Loss 1.6453 (1.6201)	Prec@1 55.000 (56.433)	Prec@5 83.000 (84.684)
Epoch: [85][1150/9018]	Time 0.623 (0.616)	Data 0.001 (0.003)	Loss 1.4733 (1.6201)	Prec@1 59.500 (56.429)	Prec@5 86.000 (84.676)
Epoch: [85][1160/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 1.7386 (1.6203)	Prec@1 51.000 (56.418)	Prec@5 81.500 (84.668)
Epoch: [85][1170/9018]	Time 0.607 (0.616)	Data 0.001 (0.003)	Loss 1.5884 (1.6205)	Prec@1 54.500 (56.408)	Prec@5 86.000 (84.662)
Epoch: [85][1180/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 1.7212 (1.6211)	Prec@1 53.500 (56.398)	Prec@5 81.500 (84.650)
Epoch: [85][1190/9018]	Time 0.732 (0.616)	Data 0.003 (0.003)	Loss 1.5301 (1.6212)	Prec@1 58.000 (56.397)	Prec@5 89.000 (84.649)
Epoch: [85][1200/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.4640 (1.6213)	Prec@1 57.500 (56.388)	Prec@5 89.000 (84.649)
Epoch: [85][1210/9018]	Time 0.617 (0.616)	Data 0.001 (0.003)	Loss 1.6711 (1.6215)	Prec@1 56.500 (56.379)	Prec@5 81.000 (84.644)
Epoch: [85][1220/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.6713 (1.6214)	Prec@1 54.000 (56.383)	Prec@5 82.500 (84.648)
Epoch: [85][1230/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.5491 (1.6212)	Prec@1 58.000 (56.381)	Prec@5 86.500 (84.647)
Epoch: [85][1240/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 1.6432 (1.6214)	Prec@1 54.500 (56.376)	Prec@5 84.000 (84.644)
Epoch: [85][1250/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.6166 (1.6211)	Prec@1 55.000 (56.373)	Prec@5 83.500 (84.644)
Epoch: [85][1260/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 1.4963 (1.6204)	Prec@1 56.500 (56.377)	Prec@5 89.000 (84.659)
Epoch: [85][1270/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.6047 (1.6200)	Prec@1 57.000 (56.384)	Prec@5 85.000 (84.671)
Epoch: [85][1280/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 1.5480 (1.6205)	Prec@1 63.000 (56.371)	Prec@5 86.000 (84.667)
Epoch: [85][1290/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.8188 (1.6210)	Prec@1 54.000 (56.369)	Prec@5 81.500 (84.659)
Epoch: [85][1300/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 1.4857 (1.6211)	Prec@1 57.500 (56.370)	Prec@5 86.500 (84.661)
Epoch: [85][1310/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.7590 (1.6210)	Prec@1 53.500 (56.373)	Prec@5 81.500 (84.662)
Epoch: [85][1320/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 1.5189 (1.6208)	Prec@1 57.500 (56.381)	Prec@5 83.000 (84.667)
Epoch: [85][1330/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.5105 (1.6200)	Prec@1 61.000 (56.394)	Prec@5 85.500 (84.681)
Epoch: [85][1340/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.7137 (1.6200)	Prec@1 52.500 (56.398)	Prec@5 82.500 (84.679)
Epoch: [85][1350/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.6307 (1.6203)	Prec@1 54.000 (56.387)	Prec@5 85.500 (84.671)
Epoch: [85][1360/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.6530 (1.6207)	Prec@1 55.000 (56.380)	Prec@5 86.500 (84.666)
Epoch: [85][1370/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 1.6181 (1.6210)	Prec@1 55.000 (56.365)	Prec@5 83.000 (84.656)
Epoch: [85][1380/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.7309 (1.6211)	Prec@1 57.500 (56.369)	Prec@5 81.500 (84.647)
Epoch: [85][1390/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 1.5302 (1.6208)	Prec@1 58.500 (56.375)	Prec@5 86.500 (84.652)
Epoch: [85][1400/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.7303 (1.6215)	Prec@1 55.000 (56.358)	Prec@5 84.000 (84.645)
Epoch: [85][1410/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.5578 (1.6220)	Prec@1 61.500 (56.341)	Prec@5 84.000 (84.641)
Epoch: [85][1420/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 1.5235 (1.6221)	Prec@1 61.000 (56.335)	Prec@5 85.500 (84.645)
Epoch: [85][1430/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.7509 (1.6228)	Prec@1 53.500 (56.322)	Prec@5 81.500 (84.627)
Epoch: [85][1440/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.6470 (1.6229)	Prec@1 57.500 (56.312)	Prec@5 86.500 (84.630)
Epoch: [85][1450/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.6113 (1.6229)	Prec@1 54.000 (56.308)	Prec@5 85.000 (84.630)
Epoch: [85][1460/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.8904 (1.6232)	Prec@1 51.000 (56.305)	Prec@5 81.000 (84.620)
Epoch: [85][1470/9018]	Time 0.719 (0.616)	Data 0.001 (0.002)	Loss 1.6908 (1.6228)	Prec@1 54.500 (56.316)	Prec@5 82.500 (84.620)
Epoch: [85][1480/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 1.7401 (1.6227)	Prec@1 49.500 (56.318)	Prec@5 83.000 (84.620)
Epoch: [85][1490/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.5276 (1.6224)	Prec@1 59.500 (56.317)	Prec@5 87.000 (84.631)
Epoch: [85][1500/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 1.5104 (1.6224)	Prec@1 55.500 (56.314)	Prec@5 89.500 (84.633)
Epoch: [85][1510/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.7068 (1.6222)	Prec@1 53.500 (56.315)	Prec@5 84.000 (84.636)
Epoch: [85][1520/9018]	Time 0.745 (0.616)	Data 0.001 (0.002)	Loss 1.5504 (1.6222)	Prec@1 57.500 (56.308)	Prec@5 88.000 (84.636)
Epoch: [85][1530/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.8849 (1.6223)	Prec@1 49.000 (56.308)	Prec@5 80.000 (84.639)
Epoch: [85][1540/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 1.7593 (1.6223)	Prec@1 50.500 (56.306)	Prec@5 83.000 (84.638)
Epoch: [85][1550/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 1.6859 (1.6225)	Prec@1 56.500 (56.309)	Prec@5 84.000 (84.630)
Epoch: [85][1560/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.4168 (1.6227)	Prec@1 62.500 (56.304)	Prec@5 88.000 (84.625)
Epoch: [85][1570/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.5652 (1.6227)	Prec@1 59.000 (56.302)	Prec@5 82.500 (84.623)
Epoch: [85][1580/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 1.8654 (1.6220)	Prec@1 53.500 (56.317)	Prec@5 79.000 (84.634)
Epoch: [85][1590/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 1.8178 (1.6221)	Prec@1 47.000 (56.310)	Prec@5 82.000 (84.638)
Epoch: [85][1600/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.6274 (1.6219)	Prec@1 52.500 (56.314)	Prec@5 84.500 (84.640)
Epoch: [85][1610/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.7352 (1.6222)	Prec@1 56.000 (56.310)	Prec@5 81.500 (84.637)
Epoch: [85][1620/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 1.6332 (1.6222)	Prec@1 58.000 (56.308)	Prec@5 86.000 (84.639)
Epoch: [85][1630/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 1.8389 (1.6223)	Prec@1 52.500 (56.319)	Prec@5 79.000 (84.632)
Epoch: [85][1640/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.5472 (1.6224)	Prec@1 56.500 (56.310)	Prec@5 86.500 (84.633)
Epoch: [85][1650/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.6117 (1.6221)	Prec@1 56.000 (56.317)	Prec@5 83.500 (84.634)
Epoch: [85][1660/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.6121 (1.6218)	Prec@1 55.500 (56.320)	Prec@5 85.000 (84.640)
Epoch: [85][1670/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 1.6916 (1.6217)	Prec@1 52.500 (56.328)	Prec@5 81.500 (84.638)
Epoch: [85][1680/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.5508 (1.6216)	Prec@1 57.000 (56.336)	Prec@5 86.000 (84.642)
Epoch: [85][1690/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.6177 (1.6216)	Prec@1 55.000 (56.336)	Prec@5 84.000 (84.637)
Epoch: [85][1700/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.4253 (1.6216)	Prec@1 59.500 (56.341)	Prec@5 88.500 (84.637)
Epoch: [85][1710/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.5594 (1.6215)	Prec@1 54.500 (56.346)	Prec@5 86.500 (84.644)
Epoch: [85][1720/9018]	Time 0.638 (0.616)	Data 0.001 (0.002)	Loss 1.6409 (1.6214)	Prec@1 56.500 (56.349)	Prec@5 85.000 (84.646)
Epoch: [85][1730/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.6322 (1.6217)	Prec@1 57.500 (56.350)	Prec@5 82.000 (84.638)
Epoch: [85][1740/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 1.4320 (1.6215)	Prec@1 65.500 (56.354)	Prec@5 87.000 (84.640)
Epoch: [85][1750/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 1.5621 (1.6212)	Prec@1 58.500 (56.359)	Prec@5 85.000 (84.647)
Epoch: [85][1760/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.8528 (1.6211)	Prec@1 54.000 (56.364)	Prec@5 80.500 (84.653)
Epoch: [85][1770/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 1.6522 (1.6210)	Prec@1 54.500 (56.359)	Prec@5 84.000 (84.654)
Epoch: [85][1780/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 1.4884 (1.6207)	Prec@1 62.000 (56.357)	Prec@5 86.000 (84.662)
Epoch: [85][1790/9018]	Time 0.608 (0.616)	Data 0.001 (0.002)	Loss 1.5693 (1.6205)	Prec@1 55.500 (56.359)	Prec@5 86.500 (84.665)
Epoch: [85][1800/9018]	Time 0.739 (0.616)	Data 0.001 (0.002)	Loss 1.7463 (1.6205)	Prec@1 54.500 (56.370)	Prec@5 82.000 (84.664)
Epoch: [85][1810/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 1.8423 (1.6204)	Prec@1 49.500 (56.369)	Prec@5 82.000 (84.667)
Epoch: [85][1820/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.5860 (1.6201)	Prec@1 54.000 (56.376)	Prec@5 86.500 (84.674)
Epoch: [85][1830/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.5508 (1.6199)	Prec@1 60.500 (56.379)	Prec@5 85.500 (84.678)
Epoch: [85][1840/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.5158 (1.6198)	Prec@1 55.500 (56.372)	Prec@5 88.500 (84.683)
Epoch: [85][1850/9018]	Time 0.728 (0.616)	Data 0.001 (0.002)	Loss 1.5914 (1.6197)	Prec@1 53.000 (56.373)	Prec@5 86.000 (84.693)
Epoch: [85][1860/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.7363 (1.6199)	Prec@1 55.000 (56.362)	Prec@5 80.000 (84.691)
Epoch: [85][1870/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.6409 (1.6201)	Prec@1 59.000 (56.359)	Prec@5 86.000 (84.688)
Epoch: [85][1880/9018]	Time 0.624 (0.616)	Data 0.001 (0.002)	Loss 1.8834 (1.6202)	Prec@1 51.000 (56.360)	Prec@5 77.000 (84.685)
Epoch: [85][1890/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.7114 (1.6203)	Prec@1 52.000 (56.364)	Prec@5 84.500 (84.680)
Epoch: [85][1900/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.5486 (1.6202)	Prec@1 61.000 (56.369)	Prec@5 85.500 (84.674)
Epoch: [85][1910/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 1.6395 (1.6204)	Prec@1 57.500 (56.368)	Prec@5 84.500 (84.672)
Epoch: [85][1920/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.5001 (1.6200)	Prec@1 59.500 (56.369)	Prec@5 86.000 (84.678)
Epoch: [85][1930/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.4471 (1.6198)	Prec@1 59.500 (56.373)	Prec@5 86.500 (84.681)
Epoch: [85][1940/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.5430 (1.6197)	Prec@1 58.500 (56.373)	Prec@5 87.000 (84.682)
Epoch: [85][1950/9018]	Time 0.634 (0.616)	Data 0.001 (0.002)	Loss 1.6095 (1.6197)	Prec@1 55.500 (56.375)	Prec@5 87.000 (84.680)
Epoch: [85][1960/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.4725 (1.6198)	Prec@1 58.500 (56.375)	Prec@5 86.000 (84.675)
Epoch: [85][1970/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.5088 (1.6198)	Prec@1 58.500 (56.377)	Prec@5 87.000 (84.672)
Epoch: [85][1980/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.5955 (1.6198)	Prec@1 58.500 (56.376)	Prec@5 84.000 (84.672)
Epoch: [85][1990/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.6780 (1.6199)	Prec@1 57.000 (56.375)	Prec@5 84.500 (84.669)
Epoch: [85][2000/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.4257 (1.6197)	Prec@1 65.000 (56.379)	Prec@5 92.000 (84.675)
Epoch: [85][2010/9018]	Time 0.611 (0.616)	Data 0.001 (0.002)	Loss 1.7264 (1.6200)	Prec@1 53.000 (56.382)	Prec@5 81.500 (84.666)
Epoch: [85][2020/9018]	Time 0.645 (0.616)	Data 0.001 (0.002)	Loss 1.6353 (1.6198)	Prec@1 54.000 (56.382)	Prec@5 89.000 (84.671)
Epoch: [85][2030/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.5981 (1.6200)	Prec@1 56.000 (56.379)	Prec@5 85.000 (84.670)
Epoch: [85][2040/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.6416 (1.6197)	Prec@1 55.000 (56.386)	Prec@5 86.500 (84.675)
Epoch: [85][2050/9018]	Time 0.621 (0.616)	Data 0.001 (0.002)	Loss 1.6495 (1.6200)	Prec@1 57.000 (56.375)	Prec@5 84.000 (84.669)
Epoch: [85][2060/9018]	Time 0.632 (0.616)	Data 0.001 (0.002)	Loss 1.6831 (1.6201)	Prec@1 57.500 (56.379)	Prec@5 80.500 (84.667)
Epoch: [85][2070/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.6554 (1.6203)	Prec@1 55.500 (56.369)	Prec@5 85.000 (84.668)
Epoch: [85][2080/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 1.6540 (1.6202)	Prec@1 58.500 (56.375)	Prec@5 84.000 (84.668)
Epoch: [85][2090/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.6296 (1.6202)	Prec@1 58.000 (56.377)	Prec@5 84.000 (84.671)
Epoch: [85][2100/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.5146 (1.6202)	Prec@1 57.000 (56.373)	Prec@5 90.000 (84.671)
Epoch: [85][2110/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 2.0046 (1.6203)	Prec@1 46.000 (56.370)	Prec@5 78.500 (84.670)
Epoch: [85][2120/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.6808 (1.6203)	Prec@1 56.000 (56.372)	Prec@5 83.500 (84.672)
Epoch: [85][2130/9018]	Time 0.717 (0.616)	Data 0.001 (0.002)	Loss 1.4918 (1.6201)	Prec@1 60.000 (56.369)	Prec@5 86.000 (84.679)
Epoch: [85][2140/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.5404 (1.6198)	Prec@1 59.500 (56.377)	Prec@5 87.000 (84.682)
Epoch: [85][2150/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.5300 (1.6193)	Prec@1 57.500 (56.387)	Prec@5 86.500 (84.696)
Epoch: [85][2160/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.5549 (1.6192)	Prec@1 56.500 (56.391)	Prec@5 87.500 (84.697)
Epoch: [85][2170/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.6369 (1.6190)	Prec@1 55.000 (56.394)	Prec@5 87.000 (84.702)
Epoch: [85][2180/9018]	Time 0.716 (0.615)	Data 0.001 (0.002)	Loss 1.6815 (1.6193)	Prec@1 58.000 (56.387)	Prec@5 84.000 (84.701)
Epoch: [85][2190/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.5039 (1.6191)	Prec@1 57.500 (56.395)	Prec@5 87.000 (84.704)
Epoch: [85][2200/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.5865 (1.6191)	Prec@1 56.000 (56.398)	Prec@5 83.500 (84.709)
Epoch: [85][2210/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.7328 (1.6195)	Prec@1 56.500 (56.391)	Prec@5 80.500 (84.703)
Epoch: [85][2220/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.8757 (1.6196)	Prec@1 53.000 (56.386)	Prec@5 79.000 (84.700)
Epoch: [85][2230/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.6291 (1.6201)	Prec@1 52.000 (56.381)	Prec@5 86.000 (84.696)
Epoch: [85][2240/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.5441 (1.6198)	Prec@1 52.500 (56.383)	Prec@5 88.000 (84.697)
Epoch: [85][2250/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.5281 (1.6197)	Prec@1 54.500 (56.385)	Prec@5 89.000 (84.703)
Epoch: [85][2260/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.7039 (1.6197)	Prec@1 53.500 (56.383)	Prec@5 83.500 (84.704)
Epoch: [85][2270/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.5514 (1.6196)	Prec@1 57.000 (56.389)	Prec@5 85.500 (84.701)
Epoch: [85][2280/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 1.8175 (1.6198)	Prec@1 49.000 (56.384)	Prec@5 84.000 (84.701)
Epoch: [85][2290/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.6067 (1.6196)	Prec@1 57.500 (56.384)	Prec@5 83.000 (84.702)
Epoch: [85][2300/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.6421 (1.6197)	Prec@1 60.500 (56.382)	Prec@5 84.000 (84.705)
Epoch: [85][2310/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.5704 (1.6196)	Prec@1 57.500 (56.384)	Prec@5 84.000 (84.706)
Epoch: [85][2320/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 1.6910 (1.6195)	Prec@1 53.000 (56.388)	Prec@5 85.000 (84.710)
Epoch: [85][2330/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.5882 (1.6196)	Prec@1 57.500 (56.387)	Prec@5 82.500 (84.710)
Epoch: [85][2340/9018]	Time 0.622 (0.615)	Data 0.001 (0.002)	Loss 1.5336 (1.6197)	Prec@1 55.500 (56.382)	Prec@5 87.000 (84.708)
Epoch: [85][2350/9018]	Time 0.621 (0.615)	Data 0.001 (0.002)	Loss 1.7280 (1.6199)	Prec@1 55.000 (56.379)	Prec@5 83.000 (84.705)
Epoch: [85][2360/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.7900 (1.6199)	Prec@1 56.000 (56.380)	Prec@5 83.000 (84.707)
Epoch: [85][2370/9018]	Time 0.617 (0.615)	Data 0.001 (0.002)	Loss 1.5890 (1.6198)	Prec@1 58.500 (56.384)	Prec@5 87.000 (84.706)
Epoch: [85][2380/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.6876 (1.6200)	Prec@1 54.500 (56.379)	Prec@5 85.500 (84.705)
Epoch: [85][2390/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 1.7043 (1.6201)	Prec@1 54.500 (56.383)	Prec@5 83.500 (84.704)
Epoch: [85][2400/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.5055 (1.6202)	Prec@1 60.000 (56.385)	Prec@5 86.500 (84.702)
Epoch: [85][2410/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.4180 (1.6203)	Prec@1 62.500 (56.383)	Prec@5 90.000 (84.700)
Epoch: [85][2420/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.5817 (1.6204)	Prec@1 58.500 (56.388)	Prec@5 85.500 (84.698)
Epoch: [85][2430/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.5629 (1.6202)	Prec@1 57.000 (56.389)	Prec@5 85.000 (84.703)
Epoch: [85][2440/9018]	Time 0.613 (0.615)	Data 0.001 (0.002)	Loss 1.6911 (1.6201)	Prec@1 56.500 (56.389)	Prec@5 83.000 (84.707)
Epoch: [85][2450/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 1.7837 (1.6202)	Prec@1 54.000 (56.384)	Prec@5 80.000 (84.703)
Epoch: [85][2460/9018]	Time 0.691 (0.615)	Data 0.001 (0.002)	Loss 1.5663 (1.6201)	Prec@1 56.000 (56.385)	Prec@5 84.500 (84.704)
Epoch: [85][2470/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 1.6446 (1.6203)	Prec@1 57.000 (56.383)	Prec@5 83.000 (84.700)
Epoch: [85][2480/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 1.5113 (1.6203)	Prec@1 60.000 (56.383)	Prec@5 83.000 (84.701)
Epoch: [85][2490/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.8543 (1.6205)	Prec@1 51.000 (56.380)	Prec@5 81.500 (84.700)
Epoch: [85][2500/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 1.6791 (1.6203)	Prec@1 54.000 (56.376)	Prec@5 87.000 (84.703)
Epoch: [85][2510/9018]	Time 0.748 (0.615)	Data 0.001 (0.002)	Loss 1.5757 (1.6201)	Prec@1 60.500 (56.385)	Prec@5 85.000 (84.704)
Epoch: [85][2520/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 1.6716 (1.6203)	Prec@1 55.000 (56.382)	Prec@5 83.500 (84.700)
Epoch: [85][2530/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.7284 (1.6204)	Prec@1 49.000 (56.376)	Prec@5 85.500 (84.698)
Epoch: [85][2540/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 1.7171 (1.6205)	Prec@1 58.500 (56.372)	Prec@5 81.500 (84.698)
Epoch: [85][2550/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.4517 (1.6204)	Prec@1 63.500 (56.370)	Prec@5 88.000 (84.700)
Epoch: [85][2560/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.7328 (1.6204)	Prec@1 52.500 (56.368)	Prec@5 85.000 (84.704)
Epoch: [85][2570/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 1.6945 (1.6205)	Prec@1 55.000 (56.370)	Prec@5 81.500 (84.702)
Epoch: [85][2580/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.5182 (1.6205)	Prec@1 56.500 (56.372)	Prec@5 87.500 (84.702)
Epoch: [85][2590/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 1.5957 (1.6205)	Prec@1 54.000 (56.374)	Prec@5 85.000 (84.701)
Epoch: [85][2600/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.6348 (1.6207)	Prec@1 52.000 (56.365)	Prec@5 86.000 (84.694)
Epoch: [85][2610/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.5600 (1.6208)	Prec@1 57.500 (56.364)	Prec@5 85.500 (84.693)
Epoch: [85][2620/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.6325 (1.6208)	Prec@1 57.500 (56.363)	Prec@5 87.000 (84.691)
Epoch: [85][2630/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 1.6372 (1.6209)	Prec@1 56.000 (56.364)	Prec@5 84.000 (84.689)
Epoch: [85][2640/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.7396 (1.6210)	Prec@1 55.500 (56.367)	Prec@5 81.500 (84.686)
Epoch: [85][2650/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.7179 (1.6210)	Prec@1 51.500 (56.366)	Prec@5 82.000 (84.687)
Epoch: [85][2660/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.6048 (1.6210)	Prec@1 58.500 (56.369)	Prec@5 85.500 (84.691)
Epoch: [85][2670/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.4690 (1.6210)	Prec@1 63.500 (56.372)	Prec@5 84.500 (84.690)
Epoch: [85][2680/9018]	Time 0.599 (0.615)	Data 0.001 (0.002)	Loss 1.3620 (1.6208)	Prec@1 63.500 (56.373)	Prec@5 86.500 (84.693)
Epoch: [85][2690/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.6395 (1.6208)	Prec@1 58.000 (56.369)	Prec@5 84.000 (84.694)
Epoch: [85][2700/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.5861 (1.6208)	Prec@1 56.500 (56.372)	Prec@5 83.500 (84.692)
Epoch: [85][2710/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 1.8727 (1.6209)	Prec@1 53.500 (56.371)	Prec@5 81.500 (84.691)
Epoch: [85][2720/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.7384 (1.6210)	Prec@1 59.500 (56.376)	Prec@5 79.500 (84.692)
Epoch: [85][2730/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.5236 (1.6209)	Prec@1 57.000 (56.380)	Prec@5 85.000 (84.690)
Epoch: [85][2740/9018]	Time 0.627 (0.615)	Data 0.001 (0.002)	Loss 1.5144 (1.6207)	Prec@1 57.000 (56.383)	Prec@5 86.000 (84.695)
Epoch: [85][2750/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.4067 (1.6204)	Prec@1 62.500 (56.387)	Prec@5 90.000 (84.703)
Epoch: [85][2760/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.5757 (1.6206)	Prec@1 58.000 (56.386)	Prec@5 82.500 (84.700)
Epoch: [85][2770/9018]	Time 0.643 (0.615)	Data 0.001 (0.002)	Loss 1.7267 (1.6205)	Prec@1 55.500 (56.390)	Prec@5 81.000 (84.702)
Epoch: [85][2780/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.6956 (1.6207)	Prec@1 56.000 (56.386)	Prec@5 83.500 (84.697)
Epoch: [85][2790/9018]	Time 0.717 (0.615)	Data 0.001 (0.002)	Loss 1.7346 (1.6210)	Prec@1 53.000 (56.380)	Prec@5 83.000 (84.692)
Epoch: [85][2800/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 1.6561 (1.6209)	Prec@1 57.500 (56.382)	Prec@5 85.500 (84.695)
Epoch: [85][2810/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.6193 (1.6208)	Prec@1 54.500 (56.385)	Prec@5 84.500 (84.696)
Epoch: [85][2820/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.5469 (1.6209)	Prec@1 59.000 (56.381)	Prec@5 86.000 (84.695)
Epoch: [85][2830/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8437 (1.6210)	Prec@1 47.500 (56.384)	Prec@5 81.500 (84.694)
Epoch: [85][2840/9018]	Time 0.706 (0.615)	Data 0.001 (0.001)	Loss 1.3788 (1.6210)	Prec@1 69.000 (56.384)	Prec@5 90.500 (84.696)
Epoch: [85][2850/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5111 (1.6210)	Prec@1 61.000 (56.389)	Prec@5 86.000 (84.694)
Epoch: [85][2860/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8347 (1.6211)	Prec@1 51.500 (56.392)	Prec@5 82.500 (84.695)
Epoch: [85][2870/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.4963 (1.6210)	Prec@1 60.000 (56.395)	Prec@5 85.500 (84.695)
Epoch: [85][2880/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6160 (1.6209)	Prec@1 56.500 (56.399)	Prec@5 89.000 (84.697)
Epoch: [85][2890/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.5643 (1.6210)	Prec@1 54.500 (56.395)	Prec@5 83.000 (84.696)
Epoch: [85][2900/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.5807 (1.6209)	Prec@1 57.000 (56.401)	Prec@5 85.500 (84.695)
Epoch: [85][2910/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6034 (1.6211)	Prec@1 59.500 (56.396)	Prec@5 83.000 (84.694)
Epoch: [85][2920/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.5971 (1.6208)	Prec@1 58.500 (56.401)	Prec@5 84.000 (84.698)
Epoch: [85][2930/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7135 (1.6207)	Prec@1 53.500 (56.401)	Prec@5 81.500 (84.701)
Epoch: [85][2940/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.6676 (1.6207)	Prec@1 57.500 (56.403)	Prec@5 81.500 (84.700)
Epoch: [85][2950/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6030 (1.6208)	Prec@1 52.000 (56.403)	Prec@5 86.000 (84.700)
Epoch: [85][2960/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6846 (1.6207)	Prec@1 54.500 (56.404)	Prec@5 84.000 (84.701)
Epoch: [85][2970/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5822 (1.6210)	Prec@1 58.000 (56.400)	Prec@5 87.500 (84.697)
Epoch: [85][2980/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8101 (1.6209)	Prec@1 52.500 (56.405)	Prec@5 80.500 (84.700)
Epoch: [85][2990/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.6558 (1.6207)	Prec@1 58.500 (56.410)	Prec@5 85.000 (84.701)
Epoch: [85][3000/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.5412 (1.6210)	Prec@1 63.500 (56.403)	Prec@5 82.500 (84.696)
Epoch: [85][3010/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5098 (1.6211)	Prec@1 56.000 (56.395)	Prec@5 87.500 (84.694)
Epoch: [85][3020/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.6360 (1.6210)	Prec@1 55.000 (56.397)	Prec@5 88.000 (84.694)
Epoch: [85][3030/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8412 (1.6211)	Prec@1 51.000 (56.399)	Prec@5 84.500 (84.693)
Epoch: [85][3040/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6614 (1.6213)	Prec@1 51.000 (56.394)	Prec@5 83.000 (84.689)
Epoch: [85][3050/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7080 (1.6215)	Prec@1 55.000 (56.390)	Prec@5 80.500 (84.686)
Epoch: [85][3060/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6109 (1.6216)	Prec@1 56.000 (56.391)	Prec@5 85.500 (84.683)
Epoch: [85][3070/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.6249 (1.6216)	Prec@1 58.000 (56.394)	Prec@5 84.500 (84.685)
Epoch: [85][3080/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5698 (1.6217)	Prec@1 53.500 (56.391)	Prec@5 86.500 (84.683)
Epoch: [85][3090/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6775 (1.6216)	Prec@1 57.000 (56.393)	Prec@5 81.000 (84.683)
Epoch: [85][3100/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.4564 (1.6215)	Prec@1 58.500 (56.391)	Prec@5 89.000 (84.687)
Epoch: [85][3110/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7424 (1.6216)	Prec@1 48.000 (56.387)	Prec@5 86.000 (84.688)
Epoch: [85][3120/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 1.6444 (1.6218)	Prec@1 57.500 (56.384)	Prec@5 84.000 (84.685)
Epoch: [85][3130/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.5700 (1.6217)	Prec@1 59.500 (56.386)	Prec@5 84.500 (84.686)
Epoch: [85][3140/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.4164 (1.6216)	Prec@1 57.000 (56.385)	Prec@5 90.000 (84.687)
Epoch: [85][3150/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.5954 (1.6216)	Prec@1 51.000 (56.385)	Prec@5 87.500 (84.687)
Epoch: [85][3160/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.5969 (1.6218)	Prec@1 56.500 (56.377)	Prec@5 84.500 (84.685)
Epoch: [85][3170/9018]	Time 0.751 (0.615)	Data 0.001 (0.001)	Loss 1.5607 (1.6218)	Prec@1 57.000 (56.380)	Prec@5 86.500 (84.684)
Epoch: [85][3180/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6617 (1.6217)	Prec@1 53.000 (56.375)	Prec@5 85.000 (84.689)
Epoch: [85][3190/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.8455 (1.6217)	Prec@1 51.000 (56.371)	Prec@5 78.500 (84.691)
Epoch: [85][3200/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6339 (1.6218)	Prec@1 57.000 (56.371)	Prec@5 83.000 (84.686)
Epoch: [85][3210/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6640 (1.6218)	Prec@1 55.000 (56.368)	Prec@5 86.000 (84.687)
Epoch: [85][3220/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.5373 (1.6218)	Prec@1 58.500 (56.372)	Prec@5 85.000 (84.685)
Epoch: [85][3230/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6275 (1.6221)	Prec@1 58.500 (56.365)	Prec@5 85.000 (84.683)
Epoch: [85][3240/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8454 (1.6220)	Prec@1 54.000 (56.368)	Prec@5 76.000 (84.684)
Epoch: [85][3250/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6540 (1.6222)	Prec@1 57.500 (56.364)	Prec@5 80.500 (84.677)
Epoch: [85][3260/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.4540 (1.6223)	Prec@1 58.000 (56.363)	Prec@5 88.000 (84.678)
Epoch: [85][3270/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.7081 (1.6224)	Prec@1 55.500 (56.362)	Prec@5 83.500 (84.674)
Epoch: [85][3280/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6301 (1.6227)	Prec@1 59.000 (56.357)	Prec@5 85.500 (84.669)
Epoch: [85][3290/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6252 (1.6227)	Prec@1 53.000 (56.357)	Prec@5 83.500 (84.669)
Epoch: [85][3300/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.4788 (1.6226)	Prec@1 59.500 (56.361)	Prec@5 86.500 (84.673)
Epoch: [85][3310/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6672 (1.6228)	Prec@1 54.000 (56.356)	Prec@5 82.500 (84.669)
Epoch: [85][3320/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6346 (1.6229)	Prec@1 56.500 (56.354)	Prec@5 82.500 (84.669)
Epoch: [85][3330/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.6091 (1.6229)	Prec@1 54.000 (56.354)	Prec@5 85.000 (84.665)
Epoch: [85][3340/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6983 (1.6229)	Prec@1 49.500 (56.352)	Prec@5 83.500 (84.665)
Epoch: [85][3350/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.7829 (1.6230)	Prec@1 51.000 (56.348)	Prec@5 80.000 (84.663)
Epoch: [85][3360/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8614 (1.6232)	Prec@1 52.000 (56.341)	Prec@5 83.500 (84.661)
Epoch: [85][3370/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.5255 (1.6233)	Prec@1 59.500 (56.339)	Prec@5 86.500 (84.660)
Epoch: [85][3380/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.5228 (1.6233)	Prec@1 59.500 (56.336)	Prec@5 87.000 (84.663)
Epoch: [85][3390/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.7059 (1.6235)	Prec@1 53.500 (56.330)	Prec@5 83.000 (84.662)
Epoch: [85][3400/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.5210 (1.6233)	Prec@1 59.500 (56.335)	Prec@5 87.500 (84.665)
Epoch: [85][3410/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6788 (1.6234)	Prec@1 54.000 (56.331)	Prec@5 83.500 (84.662)
Epoch: [85][3420/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.6024 (1.6234)	Prec@1 53.500 (56.330)	Prec@5 86.500 (84.664)
Epoch: [85][3430/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.6545 (1.6233)	Prec@1 56.000 (56.335)	Prec@5 84.500 (84.666)
Epoch: [85][3440/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5818 (1.6231)	Prec@1 61.500 (56.341)	Prec@5 83.500 (84.671)
Epoch: [85][3450/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 1.7560 (1.6233)	Prec@1 51.500 (56.336)	Prec@5 81.500 (84.670)
Epoch: [85][3460/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.6472 (1.6234)	Prec@1 56.000 (56.334)	Prec@5 85.000 (84.670)
Epoch: [85][3470/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.3449 (1.6234)	Prec@1 64.000 (56.336)	Prec@5 91.000 (84.670)
Epoch: [85][3480/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6944 (1.6232)	Prec@1 52.500 (56.339)	Prec@5 84.500 (84.672)
Epoch: [85][3490/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.5277 (1.6232)	Prec@1 60.500 (56.338)	Prec@5 86.000 (84.675)
Epoch: [85][3500/9018]	Time 0.759 (0.615)	Data 0.001 (0.001)	Loss 1.8414 (1.6233)	Prec@1 53.000 (56.333)	Prec@5 81.500 (84.671)
Epoch: [85][3510/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.6598 (1.6235)	Prec@1 56.500 (56.327)	Prec@5 82.500 (84.668)
Epoch: [85][3520/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.5536 (1.6235)	Prec@1 57.500 (56.321)	Prec@5 87.500 (84.668)
Epoch: [85][3530/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8077 (1.6236)	Prec@1 55.000 (56.320)	Prec@5 82.000 (84.668)
Epoch: [85][3540/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7617 (1.6236)	Prec@1 50.500 (56.320)	Prec@5 82.500 (84.671)
Epoch: [85][3550/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6085 (1.6235)	Prec@1 56.000 (56.322)	Prec@5 85.500 (84.673)
Epoch: [85][3560/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.5384 (1.6233)	Prec@1 59.000 (56.324)	Prec@5 86.000 (84.678)
Epoch: [85][3570/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.6456 (1.6232)	Prec@1 56.500 (56.326)	Prec@5 83.500 (84.678)
Epoch: [85][3580/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5533 (1.6231)	Prec@1 54.000 (56.328)	Prec@5 85.000 (84.681)
Epoch: [85][3590/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9738 (1.6231)	Prec@1 47.500 (56.325)	Prec@5 79.000 (84.681)
Epoch: [85][3600/9018]	Time 0.648 (0.615)	Data 0.001 (0.001)	Loss 1.7510 (1.6232)	Prec@1 52.000 (56.325)	Prec@5 84.500 (84.680)
Epoch: [85][3610/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.5217 (1.6233)	Prec@1 59.500 (56.323)	Prec@5 86.000 (84.678)
Epoch: [85][3620/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 1.4478 (1.6233)	Prec@1 58.000 (56.321)	Prec@5 87.500 (84.678)
Epoch: [85][3630/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.4931 (1.6231)	Prec@1 58.500 (56.325)	Prec@5 88.500 (84.681)
Epoch: [85][3640/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.7801 (1.6232)	Prec@1 50.000 (56.318)	Prec@5 81.500 (84.681)
Epoch: [85][3650/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.4813 (1.6231)	Prec@1 58.500 (56.318)	Prec@5 88.500 (84.682)
Epoch: [85][3660/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.6386 (1.6233)	Prec@1 54.500 (56.313)	Prec@5 86.500 (84.680)
Epoch: [85][3670/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.6359 (1.6234)	Prec@1 56.500 (56.310)	Prec@5 87.000 (84.680)
Epoch: [85][3680/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.8066 (1.6237)	Prec@1 51.000 (56.301)	Prec@5 81.000 (84.675)
Epoch: [85][3690/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.4680 (1.6238)	Prec@1 56.000 (56.298)	Prec@5 87.500 (84.674)
Epoch: [85][3700/9018]	Time 0.644 (0.615)	Data 0.001 (0.001)	Loss 1.6402 (1.6239)	Prec@1 57.500 (56.297)	Prec@5 83.500 (84.674)
Epoch: [85][3710/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.4239 (1.6236)	Prec@1 61.000 (56.302)	Prec@5 91.500 (84.679)
Epoch: [85][3720/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.6087 (1.6238)	Prec@1 55.000 (56.297)	Prec@5 85.000 (84.674)
Epoch: [85][3730/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6581 (1.6239)	Prec@1 54.000 (56.295)	Prec@5 85.500 (84.676)
Epoch: [85][3740/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.8665 (1.6238)	Prec@1 52.000 (56.300)	Prec@5 81.500 (84.679)
Epoch: [85][3750/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.6876 (1.6240)	Prec@1 61.000 (56.299)	Prec@5 81.500 (84.674)
Epoch: [85][3760/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6156 (1.6240)	Prec@1 57.000 (56.300)	Prec@5 85.000 (84.676)
Epoch: [85][3770/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.5902 (1.6240)	Prec@1 50.000 (56.300)	Prec@5 87.500 (84.677)
Epoch: [85][3780/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 1.4267 (1.6241)	Prec@1 59.000 (56.298)	Prec@5 86.500 (84.676)
Epoch: [85][3790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6862 (1.6241)	Prec@1 54.500 (56.298)	Prec@5 83.500 (84.675)
Epoch: [85][3800/9018]	Time 0.607 (0.615)	Data 0.003 (0.001)	Loss 1.5961 (1.6241)	Prec@1 57.000 (56.296)	Prec@5 85.500 (84.675)
Epoch: [85][3810/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.4213 (1.6239)	Prec@1 59.500 (56.297)	Prec@5 84.500 (84.677)
Epoch: [85][3820/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.5701 (1.6239)	Prec@1 62.000 (56.300)	Prec@5 85.500 (84.675)
Epoch: [85][3830/9018]	Time 0.721 (0.615)	Data 0.001 (0.001)	Loss 1.5765 (1.6239)	Prec@1 58.000 (56.300)	Prec@5 84.500 (84.678)
Epoch: [85][3840/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7867 (1.6241)	Prec@1 51.500 (56.296)	Prec@5 82.500 (84.675)
Epoch: [85][3850/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7557 (1.6242)	Prec@1 51.000 (56.291)	Prec@5 84.000 (84.673)
Epoch: [85][3860/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7248 (1.6243)	Prec@1 56.000 (56.290)	Prec@5 81.500 (84.672)
Epoch: [85][3870/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6127 (1.6243)	Prec@1 53.500 (56.290)	Prec@5 85.500 (84.674)
Epoch: [85][3880/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5083 (1.6243)	Prec@1 58.500 (56.288)	Prec@5 87.000 (84.675)
Epoch: [85][3890/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8487 (1.6243)	Prec@1 54.500 (56.289)	Prec@5 80.000 (84.674)
Epoch: [85][3900/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.4524 (1.6244)	Prec@1 57.500 (56.284)	Prec@5 87.500 (84.673)
Epoch: [85][3910/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.4582 (1.6243)	Prec@1 62.000 (56.288)	Prec@5 88.500 (84.671)
Epoch: [85][3920/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6849 (1.6245)	Prec@1 55.500 (56.284)	Prec@5 84.500 (84.667)
Epoch: [85][3930/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.5662 (1.6244)	Prec@1 58.500 (56.287)	Prec@5 84.500 (84.668)
Epoch: [85][3940/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6971 (1.6245)	Prec@1 52.500 (56.283)	Prec@5 85.000 (84.668)
Epoch: [85][3950/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6901 (1.6246)	Prec@1 55.500 (56.281)	Prec@5 83.000 (84.667)
Epoch: [85][3960/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.7163 (1.6246)	Prec@1 56.500 (56.281)	Prec@5 83.000 (84.669)
Epoch: [85][3970/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.4961 (1.6246)	Prec@1 60.500 (56.284)	Prec@5 87.500 (84.669)
Epoch: [85][3980/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.6646 (1.6246)	Prec@1 58.000 (56.284)	Prec@5 81.000 (84.667)
Epoch: [85][3990/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.6160 (1.6246)	Prec@1 53.000 (56.281)	Prec@5 81.500 (84.664)
Epoch: [85][4000/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.8084 (1.6248)	Prec@1 53.000 (56.278)	Prec@5 81.500 (84.661)
Epoch: [85][4010/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6866 (1.6248)	Prec@1 52.500 (56.279)	Prec@5 85.500 (84.660)
Epoch: [85][4020/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.9021 (1.6249)	Prec@1 49.000 (56.277)	Prec@5 77.500 (84.656)
Epoch: [85][4030/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7669 (1.6250)	Prec@1 47.000 (56.271)	Prec@5 85.000 (84.655)
Epoch: [85][4040/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.5794 (1.6251)	Prec@1 57.500 (56.264)	Prec@5 85.500 (84.653)
Epoch: [85][4050/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6071 (1.6251)	Prec@1 54.500 (56.260)	Prec@5 84.000 (84.655)
Epoch: [85][4060/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.6423 (1.6249)	Prec@1 54.500 (56.264)	Prec@5 84.000 (84.658)
Epoch: [85][4070/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6272 (1.6250)	Prec@1 56.000 (56.263)	Prec@5 83.000 (84.657)
Epoch: [85][4080/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6400 (1.6249)	Prec@1 57.000 (56.264)	Prec@5 84.500 (84.658)
Epoch: [85][4090/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6851 (1.6250)	Prec@1 57.000 (56.265)	Prec@5 86.500 (84.658)
Epoch: [85][4100/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6347 (1.6251)	Prec@1 55.500 (56.263)	Prec@5 82.500 (84.657)
Epoch: [85][4110/9018]	Time 0.723 (0.615)	Data 0.001 (0.001)	Loss 1.5035 (1.6253)	Prec@1 55.000 (56.257)	Prec@5 87.500 (84.653)
Epoch: [85][4120/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8234 (1.6252)	Prec@1 54.000 (56.257)	Prec@5 82.500 (84.655)
Epoch: [85][4130/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.6738 (1.6253)	Prec@1 56.000 (56.255)	Prec@5 83.500 (84.655)
Epoch: [85][4140/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.5689 (1.6253)	Prec@1 60.500 (56.254)	Prec@5 84.000 (84.653)
Epoch: [85][4150/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7303 (1.6253)	Prec@1 54.500 (56.255)	Prec@5 82.000 (84.652)
Epoch: [85][4160/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 1.5328 (1.6254)	Prec@1 61.500 (56.252)	Prec@5 86.000 (84.651)
Epoch: [85][4170/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.6013 (1.6255)	Prec@1 56.500 (56.250)	Prec@5 85.500 (84.649)
Epoch: [85][4180/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5385 (1.6255)	Prec@1 58.000 (56.251)	Prec@5 89.000 (84.650)
Epoch: [85][4190/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.6934 (1.6255)	Prec@1 54.500 (56.250)	Prec@5 85.000 (84.650)
Epoch: [85][4200/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.6829 (1.6257)	Prec@1 48.500 (56.244)	Prec@5 86.500 (84.645)
Epoch: [85][4210/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.7781 (1.6258)	Prec@1 53.000 (56.246)	Prec@5 81.000 (84.644)
Epoch: [85][4220/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.5801 (1.6259)	Prec@1 57.500 (56.243)	Prec@5 84.500 (84.644)
Epoch: [85][4230/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5148 (1.6258)	Prec@1 60.000 (56.242)	Prec@5 88.500 (84.643)
Epoch: [85][4240/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.5830 (1.6258)	Prec@1 61.000 (56.244)	Prec@5 82.500 (84.644)
Epoch: [85][4250/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.5370 (1.6257)	Prec@1 59.000 (56.246)	Prec@5 87.000 (84.643)
Epoch: [85][4260/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.5120 (1.6256)	Prec@1 57.000 (56.249)	Prec@5 85.000 (84.645)
Epoch: [85][4270/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.8646 (1.6256)	Prec@1 49.000 (56.250)	Prec@5 83.500 (84.643)
Epoch: [85][4280/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.5223 (1.6257)	Prec@1 59.000 (56.249)	Prec@5 85.000 (84.641)
Epoch: [85][4290/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.5401 (1.6255)	Prec@1 57.000 (56.256)	Prec@5 87.500 (84.645)
Epoch: [85][4300/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.5952 (1.6255)	Prec@1 57.500 (56.257)	Prec@5 87.000 (84.646)
Epoch: [85][4310/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.6424 (1.6256)	Prec@1 57.000 (56.256)	Prec@5 85.500 (84.644)
Epoch: [85][4320/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.4308 (1.6255)	Prec@1 62.000 (56.259)	Prec@5 88.500 (84.645)
Epoch: [85][4330/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.5003 (1.6255)	Prec@1 56.000 (56.261)	Prec@5 86.500 (84.646)
Epoch: [85][4340/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.4016 (1.6254)	Prec@1 62.000 (56.262)	Prec@5 89.000 (84.648)
Epoch: [85][4350/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.9142 (1.6255)	Prec@1 53.000 (56.260)	Prec@5 81.500 (84.647)
Epoch: [85][4360/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.4067 (1.6254)	Prec@1 64.500 (56.259)	Prec@5 89.000 (84.651)
Epoch: [85][4370/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5556 (1.6254)	Prec@1 56.500 (56.257)	Prec@5 85.000 (84.650)
Epoch: [85][4380/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.5401 (1.6253)	Prec@1 60.500 (56.261)	Prec@5 84.500 (84.650)
Epoch: [85][4390/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8398 (1.6254)	Prec@1 52.000 (56.260)	Prec@5 79.000 (84.650)
Epoch: [85][4400/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.7053 (1.6254)	Prec@1 52.500 (56.260)	Prec@5 84.000 (84.650)
Epoch: [85][4410/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.7633 (1.6254)	Prec@1 52.500 (56.258)	Prec@5 81.500 (84.648)
Epoch: [85][4420/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.3686 (1.6254)	Prec@1 61.000 (56.257)	Prec@5 87.000 (84.649)
Epoch: [85][4430/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6457 (1.6255)	Prec@1 58.500 (56.259)	Prec@5 82.000 (84.648)
Epoch: [85][4440/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 1.6964 (1.6255)	Prec@1 55.500 (56.257)	Prec@5 83.500 (84.649)
Epoch: [85][4450/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.5512 (1.6255)	Prec@1 55.000 (56.257)	Prec@5 86.500 (84.649)
Epoch: [85][4460/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.8986 (1.6256)	Prec@1 53.000 (56.254)	Prec@5 81.500 (84.649)
Epoch: [85][4470/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.7110 (1.6256)	Prec@1 47.000 (56.251)	Prec@5 83.500 (84.649)
Epoch: [85][4480/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.6722 (1.6255)	Prec@1 61.500 (56.252)	Prec@5 82.000 (84.649)
Epoch: [85][4490/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 1.4378 (1.6256)	Prec@1 60.500 (56.250)	Prec@5 91.500 (84.648)
Epoch: [85][4500/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.4554 (1.6255)	Prec@1 59.000 (56.251)	Prec@5 89.500 (84.650)
Epoch: [85][4510/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6029 (1.6255)	Prec@1 58.000 (56.250)	Prec@5 83.000 (84.651)
Epoch: [85][4520/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.5685 (1.6255)	Prec@1 58.000 (56.255)	Prec@5 86.000 (84.651)
Epoch: [85][4530/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.7478 (1.6256)	Prec@1 52.500 (56.255)	Prec@5 83.500 (84.650)
Epoch: [85][4540/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.8921 (1.6256)	Prec@1 51.000 (56.252)	Prec@5 81.500 (84.650)
Epoch: [85][4550/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 1.6223 (1.6257)	Prec@1 58.500 (56.249)	Prec@5 85.500 (84.648)
Epoch: [85][4560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8992 (1.6258)	Prec@1 47.000 (56.243)	Prec@5 80.500 (84.648)
Epoch: [85][4570/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5855 (1.6258)	Prec@1 58.000 (56.244)	Prec@5 83.000 (84.648)
Epoch: [85][4580/9018]	Time 0.643 (0.615)	Data 0.001 (0.001)	Loss 1.8450 (1.6259)	Prec@1 46.000 (56.241)	Prec@5 79.500 (84.645)
Epoch: [85][4590/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.3797 (1.6260)	Prec@1 61.500 (56.240)	Prec@5 87.500 (84.643)
Epoch: [85][4600/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6816 (1.6260)	Prec@1 54.500 (56.240)	Prec@5 83.500 (84.643)
Epoch: [85][4610/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.6024 (1.6261)	Prec@1 58.500 (56.238)	Prec@5 86.500 (84.641)
Epoch: [85][4620/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7506 (1.6262)	Prec@1 53.000 (56.235)	Prec@5 82.000 (84.640)
Epoch: [85][4630/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5207 (1.6261)	Prec@1 55.500 (56.237)	Prec@5 87.500 (84.640)
Epoch: [85][4640/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.5845 (1.6261)	Prec@1 54.000 (56.235)	Prec@5 88.500 (84.640)
Epoch: [85][4650/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.5394 (1.6260)	Prec@1 55.500 (56.236)	Prec@5 86.500 (84.640)
Epoch: [85][4660/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.9147 (1.6262)	Prec@1 47.500 (56.231)	Prec@5 81.500 (84.638)
Epoch: [85][4670/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6234 (1.6261)	Prec@1 58.000 (56.234)	Prec@5 85.500 (84.638)
Epoch: [85][4680/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6393 (1.6261)	Prec@1 57.500 (56.234)	Prec@5 82.500 (84.636)
Epoch: [85][4690/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6368 (1.6261)	Prec@1 57.000 (56.233)	Prec@5 82.000 (84.636)
Epoch: [85][4700/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7490 (1.6261)	Prec@1 52.000 (56.232)	Prec@5 84.000 (84.635)
Epoch: [85][4710/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.4881 (1.6263)	Prec@1 57.500 (56.231)	Prec@5 87.500 (84.631)
Epoch: [85][4720/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.5610 (1.6263)	Prec@1 59.000 (56.230)	Prec@5 85.500 (84.630)
Epoch: [85][4730/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.5879 (1.6263)	Prec@1 59.000 (56.231)	Prec@5 83.000 (84.630)
Epoch: [85][4740/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8134 (1.6263)	Prec@1 52.500 (56.233)	Prec@5 80.500 (84.630)
Epoch: [85][4750/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.4076 (1.6263)	Prec@1 60.500 (56.231)	Prec@5 88.000 (84.628)
Epoch: [85][4760/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.4109 (1.6263)	Prec@1 65.500 (56.232)	Prec@5 84.000 (84.630)
Epoch: [85][4770/9018]	Time 0.705 (0.615)	Data 0.001 (0.001)	Loss 1.6829 (1.6263)	Prec@1 58.500 (56.230)	Prec@5 82.000 (84.630)
Epoch: [85][4780/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.7210 (1.6263)	Prec@1 53.500 (56.229)	Prec@5 84.000 (84.629)
Epoch: [85][4790/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.5023 (1.6262)	Prec@1 58.500 (56.231)	Prec@5 85.500 (84.631)
Epoch: [85][4800/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.5638 (1.6262)	Prec@1 56.000 (56.232)	Prec@5 84.500 (84.632)
Epoch: [85][4810/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7707 (1.6262)	Prec@1 53.000 (56.231)	Prec@5 83.000 (84.631)
Epoch: [85][4820/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 1.4009 (1.6262)	Prec@1 60.500 (56.233)	Prec@5 88.000 (84.631)
Epoch: [85][4830/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7186 (1.6263)	Prec@1 57.500 (56.232)	Prec@5 81.500 (84.629)
Epoch: [85][4840/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6753 (1.6264)	Prec@1 55.500 (56.229)	Prec@5 84.500 (84.629)
Epoch: [85][4850/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6640 (1.6264)	Prec@1 52.000 (56.229)	Prec@5 86.500 (84.629)
Epoch: [85][4860/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.5670 (1.6264)	Prec@1 53.500 (56.227)	Prec@5 85.500 (84.628)
Epoch: [85][4870/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7358 (1.6265)	Prec@1 53.000 (56.225)	Prec@5 82.500 (84.627)
Epoch: [85][4880/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.6826 (1.6264)	Prec@1 53.500 (56.226)	Prec@5 84.500 (84.628)
Epoch: [85][4890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7586 (1.6264)	Prec@1 53.000 (56.223)	Prec@5 81.000 (84.629)
Epoch: [85][4900/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.6624 (1.6264)	Prec@1 57.500 (56.221)	Prec@5 83.500 (84.629)
Epoch: [85][4910/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7107 (1.6264)	Prec@1 55.000 (56.223)	Prec@5 84.500 (84.629)
Epoch: [85][4920/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.7546 (1.6264)	Prec@1 52.500 (56.221)	Prec@5 81.500 (84.628)
Epoch: [85][4930/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5148 (1.6264)	Prec@1 60.500 (56.223)	Prec@5 86.000 (84.630)
Epoch: [85][4940/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5631 (1.6265)	Prec@1 54.500 (56.224)	Prec@5 84.000 (84.628)
Epoch: [85][4950/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6422 (1.6265)	Prec@1 53.000 (56.225)	Prec@5 82.500 (84.626)
Epoch: [85][4960/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.6800 (1.6267)	Prec@1 56.000 (56.220)	Prec@5 84.500 (84.622)
Epoch: [85][4970/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.3524 (1.6267)	Prec@1 62.000 (56.220)	Prec@5 89.000 (84.621)
Epoch: [85][4980/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.4291 (1.6267)	Prec@1 59.500 (56.222)	Prec@5 87.000 (84.623)
Epoch: [85][4990/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.5336 (1.6266)	Prec@1 56.000 (56.225)	Prec@5 84.500 (84.623)
Epoch: [85][5000/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.8931 (1.6267)	Prec@1 47.500 (56.223)	Prec@5 82.000 (84.623)
Epoch: [85][5010/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.4972 (1.6268)	Prec@1 57.000 (56.219)	Prec@5 88.500 (84.621)
Epoch: [85][5020/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.5297 (1.6268)	Prec@1 56.500 (56.214)	Prec@5 87.500 (84.619)
Epoch: [85][5030/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.6652 (1.6269)	Prec@1 55.500 (56.213)	Prec@5 82.500 (84.618)
Epoch: [85][5040/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.6793 (1.6269)	Prec@1 51.000 (56.216)	Prec@5 85.500 (84.619)
Epoch: [85][5050/9018]	Time 0.595 (0.615)	Data 0.003 (0.001)	Loss 1.8702 (1.6269)	Prec@1 49.000 (56.213)	Prec@5 79.000 (84.619)
Epoch: [85][5060/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.5433 (1.6270)	Prec@1 59.500 (56.209)	Prec@5 85.000 (84.616)
Epoch: [85][5070/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.5894 (1.6271)	Prec@1 57.000 (56.210)	Prec@5 85.500 (84.615)
Epoch: [85][5080/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7888 (1.6272)	Prec@1 48.000 (56.207)	Prec@5 82.000 (84.613)
Epoch: [85][5090/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.5609 (1.6271)	Prec@1 57.500 (56.212)	Prec@5 86.500 (84.615)
Epoch: [85][5100/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 1.5887 (1.6271)	Prec@1 62.000 (56.213)	Prec@5 85.500 (84.616)
Epoch: [85][5110/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6009 (1.6271)	Prec@1 56.500 (56.210)	Prec@5 85.000 (84.616)
Epoch: [85][5120/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7043 (1.6272)	Prec@1 57.000 (56.206)	Prec@5 82.000 (84.614)
Epoch: [85][5130/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6098 (1.6272)	Prec@1 54.500 (56.206)	Prec@5 81.000 (84.613)
Epoch: [85][5140/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6548 (1.6272)	Prec@1 56.000 (56.207)	Prec@5 86.500 (84.614)
Epoch: [85][5150/9018]	Time 0.692 (0.615)	Data 0.001 (0.001)	Loss 1.5246 (1.6272)	Prec@1 58.000 (56.207)	Prec@5 85.500 (84.613)
Epoch: [85][5160/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.7870 (1.6273)	Prec@1 51.000 (56.203)	Prec@5 83.500 (84.613)
Epoch: [85][5170/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.3460 (1.6273)	Prec@1 65.000 (56.203)	Prec@5 90.000 (84.614)
Epoch: [85][5180/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.3950 (1.6273)	Prec@1 58.500 (56.201)	Prec@5 87.500 (84.615)
Epoch: [85][5190/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5010 (1.6273)	Prec@1 59.000 (56.197)	Prec@5 87.500 (84.615)
Epoch: [85][5200/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.8036 (1.6274)	Prec@1 52.000 (56.195)	Prec@5 83.000 (84.614)
Epoch: [85][5210/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9068 (1.6274)	Prec@1 51.500 (56.197)	Prec@5 80.500 (84.614)
Epoch: [85][5220/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.8221 (1.6273)	Prec@1 52.000 (56.199)	Prec@5 79.500 (84.613)
Epoch: [85][5230/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6202 (1.6275)	Prec@1 56.000 (56.195)	Prec@5 84.500 (84.611)
Epoch: [85][5240/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.6588 (1.6275)	Prec@1 55.000 (56.195)	Prec@5 83.500 (84.611)
Epoch: [85][5250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7101 (1.6274)	Prec@1 55.500 (56.195)	Prec@5 82.500 (84.613)
Epoch: [85][5260/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.7426 (1.6275)	Prec@1 52.500 (56.190)	Prec@5 84.500 (84.613)
Epoch: [85][5270/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.8005 (1.6275)	Prec@1 52.500 (56.189)	Prec@5 83.000 (84.613)
Epoch: [85][5280/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.5709 (1.6276)	Prec@1 62.000 (56.188)	Prec@5 82.000 (84.609)
Epoch: [85][5290/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.8522 (1.6277)	Prec@1 49.000 (56.187)	Prec@5 82.000 (84.607)
Epoch: [85][5300/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6562 (1.6278)	Prec@1 54.500 (56.185)	Prec@5 84.500 (84.606)
Epoch: [85][5310/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.8409 (1.6279)	Prec@1 50.000 (56.183)	Prec@5 79.000 (84.604)
Epoch: [85][5320/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.5586 (1.6280)	Prec@1 59.500 (56.182)	Prec@5 84.000 (84.603)
Epoch: [85][5330/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6589 (1.6281)	Prec@1 54.000 (56.178)	Prec@5 84.000 (84.601)
Epoch: [85][5340/9018]	Time 0.589 (0.615)	Data 0.001 (0.001)	Loss 1.6402 (1.6281)	Prec@1 54.500 (56.179)	Prec@5 84.000 (84.599)
Epoch: [85][5350/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7609 (1.6282)	Prec@1 57.000 (56.176)	Prec@5 84.000 (84.595)
Epoch: [85][5360/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6751 (1.6283)	Prec@1 55.500 (56.173)	Prec@5 80.500 (84.593)
Epoch: [85][5370/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5250 (1.6284)	Prec@1 56.500 (56.169)	Prec@5 86.000 (84.592)
Epoch: [85][5380/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.3819 (1.6284)	Prec@1 63.500 (56.167)	Prec@5 89.000 (84.592)
Epoch: [85][5390/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.5760 (1.6284)	Prec@1 58.500 (56.168)	Prec@5 85.000 (84.593)
Epoch: [85][5400/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6828 (1.6284)	Prec@1 55.000 (56.168)	Prec@5 87.500 (84.592)
Epoch: [85][5410/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5213 (1.6283)	Prec@1 59.000 (56.169)	Prec@5 84.000 (84.592)
Epoch: [85][5420/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7136 (1.6283)	Prec@1 53.000 (56.167)	Prec@5 83.000 (84.592)
Epoch: [85][5430/9018]	Time 0.734 (0.615)	Data 0.001 (0.001)	Loss 1.6740 (1.6284)	Prec@1 58.000 (56.166)	Prec@5 83.500 (84.593)
Epoch: [85][5440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.5760 (1.6284)	Prec@1 60.500 (56.166)	Prec@5 86.000 (84.592)
Epoch: [85][5450/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5912 (1.6284)	Prec@1 52.500 (56.166)	Prec@5 88.500 (84.594)
Epoch: [85][5460/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.5691 (1.6283)	Prec@1 54.500 (56.168)	Prec@5 87.500 (84.595)
Epoch: [85][5470/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6126 (1.6284)	Prec@1 55.500 (56.164)	Prec@5 84.000 (84.595)
Epoch: [85][5480/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 1.8714 (1.6285)	Prec@1 51.500 (56.163)	Prec@5 82.500 (84.595)
Epoch: [85][5490/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6375 (1.6286)	Prec@1 55.000 (56.161)	Prec@5 84.500 (84.594)
Epoch: [85][5500/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.7244 (1.6287)	Prec@1 55.500 (56.160)	Prec@5 81.000 (84.592)
Epoch: [85][5510/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7611 (1.6287)	Prec@1 54.000 (56.157)	Prec@5 82.000 (84.594)
Epoch: [85][5520/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.5097 (1.6285)	Prec@1 62.500 (56.160)	Prec@5 85.000 (84.596)
Epoch: [85][5530/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.4566 (1.6286)	Prec@1 57.500 (56.160)	Prec@5 91.000 (84.595)
Epoch: [85][5540/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.5364 (1.6287)	Prec@1 59.000 (56.156)	Prec@5 87.000 (84.593)
Epoch: [85][5550/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.5212 (1.6287)	Prec@1 60.000 (56.157)	Prec@5 84.500 (84.593)
Epoch: [85][5560/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.7125 (1.6288)	Prec@1 53.500 (56.152)	Prec@5 82.500 (84.591)
Epoch: [85][5570/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6536 (1.6288)	Prec@1 57.500 (56.154)	Prec@5 81.500 (84.591)
Epoch: [85][5580/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.4613 (1.6288)	Prec@1 63.000 (56.154)	Prec@5 88.500 (84.593)
Epoch: [85][5590/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.3243 (1.6286)	Prec@1 61.000 (56.157)	Prec@5 91.000 (84.596)
Epoch: [85][5600/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.4696 (1.6286)	Prec@1 58.500 (56.156)	Prec@5 85.000 (84.596)
Epoch: [85][5610/9018]	Time 0.643 (0.615)	Data 0.001 (0.001)	Loss 1.4994 (1.6286)	Prec@1 60.000 (56.155)	Prec@5 87.000 (84.598)
Epoch: [85][5620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6779 (1.6288)	Prec@1 55.000 (56.152)	Prec@5 83.500 (84.597)
Epoch: [85][5630/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.4731 (1.6287)	Prec@1 62.000 (56.152)	Prec@5 85.500 (84.598)
Epoch: [85][5640/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.6460 (1.6288)	Prec@1 53.500 (56.151)	Prec@5 81.000 (84.597)
Epoch: [85][5650/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6256 (1.6289)	Prec@1 57.500 (56.150)	Prec@5 86.500 (84.595)
Epoch: [85][5660/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.5435 (1.6288)	Prec@1 54.000 (56.152)	Prec@5 84.500 (84.598)
Epoch: [85][5670/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.4633 (1.6288)	Prec@1 56.500 (56.152)	Prec@5 88.500 (84.598)
Epoch: [85][5680/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.6852 (1.6287)	Prec@1 53.500 (56.151)	Prec@5 79.500 (84.599)
Epoch: [85][5690/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6548 (1.6288)	Prec@1 55.500 (56.152)	Prec@5 85.500 (84.597)
Epoch: [85][5700/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.5102 (1.6288)	Prec@1 56.500 (56.150)	Prec@5 87.000 (84.596)
Epoch: [85][5710/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.4109 (1.6287)	Prec@1 58.500 (56.151)	Prec@5 88.000 (84.598)
Epoch: [85][5720/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.9811 (1.6288)	Prec@1 43.500 (56.150)	Prec@5 80.000 (84.596)
Epoch: [85][5730/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.8432 (1.6289)	Prec@1 55.000 (56.149)	Prec@5 81.500 (84.596)
Epoch: [85][5740/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.5844 (1.6289)	Prec@1 57.500 (56.150)	Prec@5 83.000 (84.596)
Epoch: [85][5750/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.6277 (1.6288)	Prec@1 57.500 (56.153)	Prec@5 85.500 (84.599)
Epoch: [85][5760/9018]	Time 0.729 (0.615)	Data 0.001 (0.001)	Loss 1.4592 (1.6288)	Prec@1 65.000 (56.152)	Prec@5 87.000 (84.598)
Epoch: [85][5770/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5119 (1.6288)	Prec@1 57.000 (56.154)	Prec@5 88.500 (84.597)
Epoch: [85][5780/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.6812 (1.6289)	Prec@1 55.500 (56.155)	Prec@5 83.500 (84.595)
Epoch: [85][5790/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6305 (1.6288)	Prec@1 58.000 (56.160)	Prec@5 87.000 (84.598)
Epoch: [85][5800/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.5935 (1.6288)	Prec@1 56.000 (56.160)	Prec@5 83.500 (84.599)
Epoch: [85][5810/9018]	Time 0.745 (0.615)	Data 0.001 (0.001)	Loss 1.5721 (1.6288)	Prec@1 58.000 (56.159)	Prec@5 87.000 (84.600)
Epoch: [85][5820/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.7216 (1.6288)	Prec@1 55.500 (56.158)	Prec@5 83.500 (84.599)
Epoch: [85][5830/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.8226 (1.6289)	Prec@1 55.000 (56.156)	Prec@5 81.500 (84.597)
Epoch: [85][5840/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6965 (1.6289)	Prec@1 55.000 (56.156)	Prec@5 81.500 (84.596)
Epoch: [85][5850/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.6133 (1.6290)	Prec@1 53.000 (56.153)	Prec@5 87.500 (84.597)
Epoch: [85][5860/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6820 (1.6290)	Prec@1 55.000 (56.154)	Prec@5 84.500 (84.596)
Epoch: [85][5870/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 1.7505 (1.6290)	Prec@1 55.500 (56.154)	Prec@5 83.000 (84.599)
Epoch: [85][5880/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.5005 (1.6291)	Prec@1 57.500 (56.152)	Prec@5 85.000 (84.597)
Epoch: [85][5890/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.5776 (1.6291)	Prec@1 63.000 (56.152)	Prec@5 83.000 (84.594)
Epoch: [85][5900/9018]	Time 0.649 (0.615)	Data 0.001 (0.001)	Loss 1.7903 (1.6291)	Prec@1 52.000 (56.151)	Prec@5 83.500 (84.595)
Epoch: [85][5910/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8671 (1.6291)	Prec@1 54.000 (56.152)	Prec@5 79.500 (84.594)
Epoch: [85][5920/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.6600 (1.6291)	Prec@1 56.000 (56.152)	Prec@5 85.500 (84.594)
Epoch: [85][5930/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7338 (1.6292)	Prec@1 51.000 (56.152)	Prec@5 85.500 (84.594)
Epoch: [85][5940/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.5770 (1.6292)	Prec@1 56.000 (56.149)	Prec@5 86.500 (84.594)
Epoch: [85][5950/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.7561 (1.6292)	Prec@1 53.500 (56.150)	Prec@5 78.500 (84.593)
Epoch: [85][5960/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.5028 (1.6293)	Prec@1 57.000 (56.149)	Prec@5 86.000 (84.592)
Epoch: [85][5970/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6320 (1.6294)	Prec@1 59.500 (56.145)	Prec@5 81.500 (84.590)
Epoch: [85][5980/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.6993 (1.6294)	Prec@1 57.000 (56.146)	Prec@5 85.000 (84.590)
Epoch: [85][5990/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.7045 (1.6294)	Prec@1 53.000 (56.145)	Prec@5 82.500 (84.588)
Epoch: [85][6000/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7650 (1.6294)	Prec@1 53.500 (56.145)	Prec@5 82.000 (84.590)
Epoch: [85][6010/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6630 (1.6294)	Prec@1 59.000 (56.148)	Prec@5 86.000 (84.591)
Epoch: [85][6020/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.5718 (1.6295)	Prec@1 57.000 (56.146)	Prec@5 86.000 (84.589)
Epoch: [85][6030/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6728 (1.6295)	Prec@1 55.500 (56.146)	Prec@5 84.000 (84.589)
Epoch: [85][6040/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 1.4674 (1.6295)	Prec@1 58.000 (56.144)	Prec@5 84.500 (84.590)
Epoch: [85][6050/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.6294 (1.6295)	Prec@1 57.500 (56.146)	Prec@5 84.500 (84.589)
Epoch: [85][6060/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7634 (1.6297)	Prec@1 55.000 (56.145)	Prec@5 83.500 (84.586)
Epoch: [85][6070/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.5899 (1.6297)	Prec@1 60.000 (56.143)	Prec@5 83.500 (84.586)
Epoch: [85][6080/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.6531 (1.6298)	Prec@1 52.500 (56.141)	Prec@5 86.500 (84.585)
Epoch: [85][6090/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 1.7019 (1.6297)	Prec@1 55.500 (56.140)	Prec@5 85.000 (84.587)
Epoch: [85][6100/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7472 (1.6298)	Prec@1 57.000 (56.141)	Prec@5 82.500 (84.587)
Epoch: [85][6110/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6171 (1.6298)	Prec@1 54.500 (56.141)	Prec@5 83.000 (84.588)
Epoch: [85][6120/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7344 (1.6298)	Prec@1 53.000 (56.142)	Prec@5 85.500 (84.587)
Epoch: [85][6130/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.7580 (1.6298)	Prec@1 52.500 (56.140)	Prec@5 83.000 (84.586)
Epoch: [85][6140/9018]	Time 0.751 (0.615)	Data 0.001 (0.001)	Loss 1.6840 (1.6299)	Prec@1 52.000 (56.137)	Prec@5 82.500 (84.585)
Epoch: [85][6150/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.7281 (1.6299)	Prec@1 54.500 (56.138)	Prec@5 82.000 (84.585)
Epoch: [85][6160/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6942 (1.6299)	Prec@1 56.000 (56.139)	Prec@5 81.500 (84.584)
Epoch: [85][6170/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.3142 (1.6298)	Prec@1 67.000 (56.141)	Prec@5 90.500 (84.583)
Epoch: [85][6180/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7778 (1.6298)	Prec@1 58.000 (56.143)	Prec@5 83.000 (84.585)
Epoch: [85][6190/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6240 (1.6298)	Prec@1 54.000 (56.142)	Prec@5 85.000 (84.584)
Epoch: [85][6200/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.7827 (1.6299)	Prec@1 51.000 (56.140)	Prec@5 80.000 (84.581)
Epoch: [85][6210/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7560 (1.6301)	Prec@1 52.000 (56.137)	Prec@5 84.000 (84.580)
Epoch: [85][6220/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.5225 (1.6300)	Prec@1 56.000 (56.137)	Prec@5 87.000 (84.581)
Epoch: [85][6230/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.6453 (1.6301)	Prec@1 53.000 (56.134)	Prec@5 87.000 (84.580)
Epoch: [85][6240/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.5664 (1.6300)	Prec@1 58.000 (56.134)	Prec@5 84.000 (84.580)
Epoch: [85][6250/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5681 (1.6300)	Prec@1 57.000 (56.133)	Prec@5 84.500 (84.580)
Epoch: [85][6260/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.4690 (1.6301)	Prec@1 60.000 (56.132)	Prec@5 87.500 (84.578)
Epoch: [85][6270/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.7043 (1.6302)	Prec@1 54.000 (56.129)	Prec@5 85.500 (84.578)
Epoch: [85][6280/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.5974 (1.6302)	Prec@1 57.000 (56.130)	Prec@5 84.000 (84.578)
Epoch: [85][6290/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.5793 (1.6302)	Prec@1 56.000 (56.131)	Prec@5 88.000 (84.578)
Epoch: [85][6300/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.5941 (1.6303)	Prec@1 60.000 (56.132)	Prec@5 83.500 (84.576)
Epoch: [85][6310/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5177 (1.6302)	Prec@1 54.500 (56.132)	Prec@5 85.500 (84.576)
Epoch: [85][6320/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.5831 (1.6302)	Prec@1 59.000 (56.133)	Prec@5 85.500 (84.578)
Epoch: [85][6330/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.5292 (1.6302)	Prec@1 59.000 (56.133)	Prec@5 85.000 (84.576)
Epoch: [85][6340/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.5692 (1.6302)	Prec@1 61.000 (56.135)	Prec@5 83.500 (84.577)
Epoch: [85][6350/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.4816 (1.6302)	Prec@1 53.500 (56.133)	Prec@5 87.000 (84.576)
Epoch: [85][6360/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6242 (1.6302)	Prec@1 56.500 (56.133)	Prec@5 86.000 (84.577)
Epoch: [85][6370/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.7545 (1.6302)	Prec@1 48.000 (56.131)	Prec@5 80.500 (84.576)
Epoch: [85][6380/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.8024 (1.6302)	Prec@1 54.500 (56.133)	Prec@5 82.500 (84.576)
Epoch: [85][6390/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.5011 (1.6302)	Prec@1 58.500 (56.133)	Prec@5 85.500 (84.577)
Epoch: [85][6400/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.4586 (1.6302)	Prec@1 60.000 (56.132)	Prec@5 88.500 (84.575)
Epoch: [85][6410/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6323 (1.6303)	Prec@1 62.000 (56.132)	Prec@5 84.500 (84.573)
Epoch: [85][6420/9018]	Time 0.706 (0.615)	Data 0.001 (0.001)	Loss 1.8115 (1.6304)	Prec@1 53.500 (56.129)	Prec@5 80.500 (84.571)
Epoch: [85][6430/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.5723 (1.6304)	Prec@1 59.500 (56.128)	Prec@5 84.500 (84.571)
Epoch: [85][6440/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.5482 (1.6304)	Prec@1 54.000 (56.128)	Prec@5 87.000 (84.572)
Epoch: [85][6450/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.5093 (1.6305)	Prec@1 60.500 (56.127)	Prec@5 88.000 (84.570)
Epoch: [85][6460/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7379 (1.6305)	Prec@1 56.000 (56.127)	Prec@5 84.500 (84.570)
Epoch: [85][6470/9018]	Time 0.760 (0.615)	Data 0.001 (0.001)	Loss 1.6582 (1.6306)	Prec@1 55.000 (56.125)	Prec@5 81.500 (84.567)
Epoch: [85][6480/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.4403 (1.6306)	Prec@1 61.500 (56.125)	Prec@5 88.000 (84.568)
Epoch: [85][6490/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5844 (1.6306)	Prec@1 63.500 (56.123)	Prec@5 84.500 (84.567)
Epoch: [85][6500/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.4848 (1.6306)	Prec@1 61.000 (56.125)	Prec@5 87.500 (84.568)
Epoch: [85][6510/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.4804 (1.6305)	Prec@1 59.500 (56.126)	Prec@5 86.000 (84.569)
Epoch: [85][6520/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5059 (1.6306)	Prec@1 60.000 (56.125)	Prec@5 87.500 (84.568)
Epoch: [85][6530/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.6582 (1.6306)	Prec@1 51.500 (56.124)	Prec@5 83.000 (84.567)
Epoch: [85][6540/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.4666 (1.6307)	Prec@1 58.000 (56.121)	Prec@5 87.500 (84.567)
Epoch: [85][6550/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.5276 (1.6307)	Prec@1 61.000 (56.120)	Prec@5 86.500 (84.568)
Epoch: [85][6560/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.5178 (1.6307)	Prec@1 58.500 (56.117)	Prec@5 84.000 (84.569)
Epoch: [85][6570/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.6238 (1.6308)	Prec@1 57.000 (56.116)	Prec@5 82.500 (84.568)
Epoch: [85][6580/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.5968 (1.6308)	Prec@1 57.500 (56.115)	Prec@5 83.500 (84.566)
Epoch: [85][6590/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.6681 (1.6308)	Prec@1 53.000 (56.115)	Prec@5 85.500 (84.565)
Epoch: [85][6600/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.8456 (1.6308)	Prec@1 51.500 (56.117)	Prec@5 81.500 (84.566)
Epoch: [85][6610/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.6315 (1.6308)	Prec@1 51.000 (56.115)	Prec@5 85.500 (84.566)
Epoch: [85][6620/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.5663 (1.6308)	Prec@1 55.500 (56.115)	Prec@5 84.500 (84.564)
Epoch: [85][6630/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 1.6282 (1.6309)	Prec@1 53.000 (56.112)	Prec@5 86.000 (84.564)
Epoch: [85][6640/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6335 (1.6308)	Prec@1 56.000 (56.115)	Prec@5 86.500 (84.564)
Epoch: [85][6650/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.7054 (1.6309)	Prec@1 52.000 (56.113)	Prec@5 86.000 (84.564)
Epoch: [85][6660/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6686 (1.6309)	Prec@1 59.000 (56.114)	Prec@5 85.500 (84.565)
Epoch: [85][6670/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6152 (1.6308)	Prec@1 58.000 (56.115)	Prec@5 85.500 (84.566)
Epoch: [85][6680/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.5657 (1.6308)	Prec@1 60.000 (56.115)	Prec@5 82.500 (84.566)
Epoch: [85][6690/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.5594 (1.6309)	Prec@1 59.500 (56.115)	Prec@5 84.500 (84.566)
Epoch: [85][6700/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.6485 (1.6309)	Prec@1 49.500 (56.113)	Prec@5 84.000 (84.567)
Epoch: [85][6710/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.4488 (1.6309)	Prec@1 59.500 (56.112)	Prec@5 89.000 (84.567)
Epoch: [85][6720/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.7929 (1.6309)	Prec@1 55.000 (56.112)	Prec@5 84.000 (84.567)
Epoch: [85][6730/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.7721 (1.6310)	Prec@1 54.500 (56.109)	Prec@5 80.500 (84.565)
Epoch: [85][6740/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.6449 (1.6310)	Prec@1 56.500 (56.109)	Prec@5 82.000 (84.562)
Epoch: [85][6750/9018]	Time 0.750 (0.615)	Data 0.001 (0.001)	Loss 1.7281 (1.6311)	Prec@1 57.000 (56.108)	Prec@5 83.500 (84.561)
Epoch: [85][6760/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.7693 (1.6312)	Prec@1 51.500 (56.108)	Prec@5 78.000 (84.561)
Epoch: [85][6770/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6105 (1.6311)	Prec@1 56.500 (56.111)	Prec@5 85.500 (84.562)
Epoch: [85][6780/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.3921 (1.6311)	Prec@1 62.500 (56.115)	Prec@5 86.500 (84.563)
Epoch: [85][6790/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.5204 (1.6310)	Prec@1 58.000 (56.115)	Prec@5 87.000 (84.564)
Epoch: [85][6800/9018]	Time 0.738 (0.615)	Data 0.001 (0.001)	Loss 1.6306 (1.6311)	Prec@1 52.500 (56.113)	Prec@5 89.000 (84.564)
Epoch: [85][6810/9018]	Time 0.637 (0.615)	Data 0.001 (0.001)	Loss 1.6402 (1.6311)	Prec@1 58.500 (56.110)	Prec@5 83.500 (84.563)
Epoch: [85][6820/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.4916 (1.6312)	Prec@1 58.500 (56.110)	Prec@5 88.500 (84.562)
Epoch: [85][6830/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6112 (1.6312)	Prec@1 58.500 (56.108)	Prec@5 86.500 (84.563)
Epoch: [85][6840/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.7362 (1.6313)	Prec@1 55.500 (56.108)	Prec@5 86.000 (84.564)
Epoch: [85][6850/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.5610 (1.6312)	Prec@1 55.500 (56.110)	Prec@5 88.000 (84.567)
Epoch: [85][6860/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.6286 (1.6312)	Prec@1 57.000 (56.109)	Prec@5 82.500 (84.566)
Epoch: [85][6870/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.7794 (1.6313)	Prec@1 50.500 (56.109)	Prec@5 82.500 (84.565)
Epoch: [85][6880/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.6317 (1.6313)	Prec@1 53.500 (56.108)	Prec@5 83.500 (84.565)
Epoch: [85][6890/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.6495 (1.6314)	Prec@1 52.000 (56.104)	Prec@5 84.000 (84.563)
Epoch: [85][6900/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5321 (1.6313)	Prec@1 60.500 (56.103)	Prec@5 86.500 (84.563)
Epoch: [85][6910/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.8189 (1.6315)	Prec@1 49.500 (56.100)	Prec@5 82.500 (84.561)
Epoch: [85][6920/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.6833 (1.6315)	Prec@1 54.000 (56.099)	Prec@5 82.000 (84.560)
Epoch: [85][6930/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6729 (1.6315)	Prec@1 56.500 (56.097)	Prec@5 84.000 (84.560)
Epoch: [85][6940/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6364 (1.6316)	Prec@1 54.000 (56.096)	Prec@5 85.000 (84.559)
Epoch: [85][6950/9018]	Time 0.587 (0.615)	Data 0.001 (0.001)	Loss 1.6621 (1.6316)	Prec@1 54.000 (56.094)	Prec@5 85.000 (84.557)
Epoch: [85][6960/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5817 (1.6317)	Prec@1 56.000 (56.092)	Prec@5 82.000 (84.556)
Epoch: [85][6970/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8097 (1.6318)	Prec@1 51.500 (56.089)	Prec@5 82.500 (84.554)
Epoch: [85][6980/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6380 (1.6319)	Prec@1 57.000 (56.087)	Prec@5 82.500 (84.552)
Epoch: [85][6990/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.6844 (1.6320)	Prec@1 56.000 (56.088)	Prec@5 85.500 (84.551)
Epoch: [85][7000/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.5797 (1.6321)	Prec@1 58.500 (56.086)	Prec@5 82.000 (84.550)
Epoch: [85][7010/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8560 (1.6322)	Prec@1 53.000 (56.083)	Prec@5 78.000 (84.548)
Epoch: [85][7020/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.6999 (1.6322)	Prec@1 55.000 (56.083)	Prec@5 84.000 (84.546)
Epoch: [85][7030/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.6379 (1.6322)	Prec@1 55.000 (56.082)	Prec@5 85.500 (84.545)
Epoch: [85][7040/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.5198 (1.6322)	Prec@1 61.500 (56.081)	Prec@5 85.000 (84.545)
Epoch: [85][7050/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.6485 (1.6322)	Prec@1 59.500 (56.083)	Prec@5 84.000 (84.546)
Epoch: [85][7060/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.7525 (1.6322)	Prec@1 52.500 (56.082)	Prec@5 78.500 (84.545)
Epoch: [85][7070/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5798 (1.6322)	Prec@1 57.500 (56.080)	Prec@5 86.000 (84.543)
Epoch: [85][7080/9018]	Time 0.743 (0.615)	Data 0.001 (0.001)	Loss 1.6519 (1.6322)	Prec@1 54.500 (56.080)	Prec@5 84.500 (84.545)
Epoch: [85][7090/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.4867 (1.6322)	Prec@1 59.000 (56.080)	Prec@5 83.500 (84.542)
Epoch: [85][7100/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7591 (1.6323)	Prec@1 56.500 (56.077)	Prec@5 83.000 (84.542)
Epoch: [85][7110/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.6505 (1.6323)	Prec@1 55.500 (56.076)	Prec@5 82.500 (84.542)
Epoch: [85][7120/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.4329 (1.6324)	Prec@1 59.000 (56.074)	Prec@5 90.000 (84.540)
Epoch: [85][7130/9018]	Time 0.730 (0.615)	Data 0.001 (0.001)	Loss 1.6377 (1.6324)	Prec@1 57.500 (56.075)	Prec@5 84.500 (84.541)
Epoch: [85][7140/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.6255 (1.6324)	Prec@1 51.500 (56.075)	Prec@5 84.500 (84.541)
Epoch: [85][7150/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.6878 (1.6324)	Prec@1 57.500 (56.074)	Prec@5 83.000 (84.540)
Epoch: [85][7160/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.7115 (1.6324)	Prec@1 53.500 (56.072)	Prec@5 86.000 (84.542)
Epoch: [85][7170/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.7688 (1.6324)	Prec@1 52.000 (56.072)	Prec@5 81.500 (84.542)
Epoch: [85][7180/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.5258 (1.6324)	Prec@1 58.500 (56.073)	Prec@5 87.000 (84.543)
Epoch: [85][7190/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.5647 (1.6324)	Prec@1 56.500 (56.072)	Prec@5 87.500 (84.542)
Epoch: [85][7200/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.7427 (1.6325)	Prec@1 54.500 (56.070)	Prec@5 81.000 (84.540)
Epoch: [85][7210/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.7428 (1.6326)	Prec@1 54.500 (56.069)	Prec@5 81.500 (84.538)
Epoch: [85][7220/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.5864 (1.6326)	Prec@1 60.000 (56.070)	Prec@5 82.500 (84.537)
Epoch: [85][7230/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7693 (1.6326)	Prec@1 53.500 (56.069)	Prec@5 82.000 (84.538)
Epoch: [85][7240/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6990 (1.6326)	Prec@1 54.500 (56.066)	Prec@5 82.000 (84.537)
Epoch: [85][7250/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.7055 (1.6326)	Prec@1 51.500 (56.067)	Prec@5 84.000 (84.538)
Epoch: [85][7260/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.5053 (1.6326)	Prec@1 59.000 (56.067)	Prec@5 86.500 (84.537)
Epoch: [85][7270/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5907 (1.6326)	Prec@1 57.500 (56.066)	Prec@5 83.000 (84.538)
Epoch: [85][7280/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7840 (1.6327)	Prec@1 52.500 (56.064)	Prec@5 84.500 (84.536)
Epoch: [85][7290/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7145 (1.6328)	Prec@1 55.500 (56.060)	Prec@5 81.000 (84.536)
Epoch: [85][7300/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6821 (1.6328)	Prec@1 52.500 (56.061)	Prec@5 85.500 (84.535)
Epoch: [85][7310/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6083 (1.6328)	Prec@1 54.500 (56.060)	Prec@5 87.000 (84.536)
Epoch: [85][7320/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.5521 (1.6327)	Prec@1 55.500 (56.064)	Prec@5 85.500 (84.537)
Epoch: [85][7330/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.3930 (1.6327)	Prec@1 62.500 (56.064)	Prec@5 85.500 (84.536)
Epoch: [85][7340/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.8605 (1.6328)	Prec@1 54.500 (56.062)	Prec@5 83.500 (84.535)
Epoch: [85][7350/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7053 (1.6327)	Prec@1 54.500 (56.061)	Prec@5 83.500 (84.535)
Epoch: [85][7360/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.4326 (1.6328)	Prec@1 62.500 (56.060)	Prec@5 88.500 (84.534)
Epoch: [85][7370/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8035 (1.6329)	Prec@1 55.500 (56.059)	Prec@5 79.500 (84.532)
Epoch: [85][7380/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6237 (1.6330)	Prec@1 52.500 (56.055)	Prec@5 83.500 (84.532)
Epoch: [85][7390/9018]	Time 0.626 (0.615)	Data 0.001 (0.001)	Loss 1.6804 (1.6331)	Prec@1 56.500 (56.053)	Prec@5 84.500 (84.532)
Epoch: [85][7400/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.8188 (1.6331)	Prec@1 50.500 (56.054)	Prec@5 82.500 (84.532)
Epoch: [85][7410/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 1.5566 (1.6331)	Prec@1 60.000 (56.054)	Prec@5 86.500 (84.533)
Epoch: [85][7420/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.4231 (1.6332)	Prec@1 59.000 (56.052)	Prec@5 87.500 (84.532)
Epoch: [85][7430/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.3877 (1.6331)	Prec@1 63.500 (56.051)	Prec@5 88.000 (84.532)
Epoch: [85][7440/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.7231 (1.6332)	Prec@1 54.500 (56.048)	Prec@5 78.500 (84.533)
Epoch: [85][7450/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5524 (1.6332)	Prec@1 58.500 (56.046)	Prec@5 85.500 (84.532)
Epoch: [85][7460/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 1.4640 (1.6333)	Prec@1 56.000 (56.046)	Prec@5 89.000 (84.531)
Epoch: [85][7470/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.5832 (1.6332)	Prec@1 58.500 (56.046)	Prec@5 84.000 (84.531)
Epoch: [85][7480/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.9111 (1.6332)	Prec@1 47.500 (56.045)	Prec@5 80.000 (84.532)
Epoch: [85][7490/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.7268 (1.6332)	Prec@1 51.000 (56.045)	Prec@5 82.500 (84.532)
Epoch: [85][7500/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.4870 (1.6332)	Prec@1 61.000 (56.045)	Prec@5 88.500 (84.533)
Epoch: [85][7510/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.4854 (1.6332)	Prec@1 59.000 (56.044)	Prec@5 86.000 (84.531)
Epoch: [85][7520/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.5682 (1.6332)	Prec@1 56.500 (56.045)	Prec@5 85.000 (84.532)
Epoch: [85][7530/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7558 (1.6333)	Prec@1 52.500 (56.044)	Prec@5 81.000 (84.529)
Epoch: [85][7540/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6452 (1.6333)	Prec@1 57.000 (56.043)	Prec@5 83.500 (84.528)
Epoch: [85][7550/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.5603 (1.6333)	Prec@1 59.000 (56.043)	Prec@5 86.000 (84.527)
Epoch: [85][7560/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7204 (1.6333)	Prec@1 53.500 (56.043)	Prec@5 84.000 (84.528)
Epoch: [85][7570/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6384 (1.6333)	Prec@1 57.000 (56.042)	Prec@5 84.500 (84.528)
Epoch: [85][7580/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.9472 (1.6335)	Prec@1 47.500 (56.039)	Prec@5 80.000 (84.527)
Epoch: [85][7590/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6505 (1.6335)	Prec@1 54.500 (56.037)	Prec@5 84.000 (84.526)
Epoch: [85][7600/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.7916 (1.6336)	Prec@1 49.500 (56.035)	Prec@5 83.000 (84.525)
Epoch: [85][7610/9018]	Time 0.634 (0.615)	Data 0.001 (0.001)	Loss 1.9929 (1.6337)	Prec@1 43.000 (56.034)	Prec@5 80.000 (84.524)
Epoch: [85][7620/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6910 (1.6338)	Prec@1 54.500 (56.032)	Prec@5 82.500 (84.522)
Epoch: [85][7630/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6704 (1.6337)	Prec@1 55.000 (56.033)	Prec@5 82.500 (84.524)
Epoch: [85][7640/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6541 (1.6337)	Prec@1 56.000 (56.033)	Prec@5 82.000 (84.524)
Epoch: [85][7650/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.6979 (1.6337)	Prec@1 56.000 (56.031)	Prec@5 85.500 (84.524)
Epoch: [85][7660/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.6403 (1.6338)	Prec@1 56.000 (56.029)	Prec@5 85.500 (84.524)
Epoch: [85][7670/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.7072 (1.6339)	Prec@1 56.500 (56.028)	Prec@5 80.500 (84.523)
Epoch: [85][7680/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.8767 (1.6339)	Prec@1 52.000 (56.028)	Prec@5 80.500 (84.521)
Epoch: [85][7690/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.4573 (1.6340)	Prec@1 62.000 (56.026)	Prec@5 85.000 (84.519)
Epoch: [85][7700/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.7510 (1.6340)	Prec@1 58.000 (56.026)	Prec@5 82.000 (84.519)
Epoch: [85][7710/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6315 (1.6340)	Prec@1 61.000 (56.026)	Prec@5 85.500 (84.519)
Epoch: [85][7720/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.7021 (1.6341)	Prec@1 54.500 (56.024)	Prec@5 83.500 (84.517)
Epoch: [85][7730/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6820 (1.6341)	Prec@1 56.500 (56.024)	Prec@5 82.000 (84.516)
Epoch: [85][7740/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 1.5852 (1.6341)	Prec@1 53.000 (56.022)	Prec@5 84.500 (84.517)
Epoch: [85][7750/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.8069 (1.6342)	Prec@1 57.500 (56.023)	Prec@5 81.000 (84.517)
Epoch: [85][7760/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6539 (1.6342)	Prec@1 55.500 (56.024)	Prec@5 83.000 (84.517)
Epoch: [85][7770/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.3959 (1.6342)	Prec@1 60.000 (56.022)	Prec@5 90.000 (84.519)
Epoch: [85][7780/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6181 (1.6342)	Prec@1 55.000 (56.022)	Prec@5 85.500 (84.517)
Epoch: [85][7790/9018]	Time 0.727 (0.615)	Data 0.001 (0.001)	Loss 1.7165 (1.6342)	Prec@1 55.500 (56.022)	Prec@5 84.000 (84.517)
Epoch: [85][7800/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 1.6648 (1.6342)	Prec@1 60.000 (56.023)	Prec@5 85.000 (84.518)
Epoch: [85][7810/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.6162 (1.6342)	Prec@1 58.500 (56.022)	Prec@5 84.500 (84.518)
Epoch: [85][7820/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.4804 (1.6342)	Prec@1 56.000 (56.023)	Prec@5 88.000 (84.519)
Epoch: [85][7830/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.6724 (1.6341)	Prec@1 56.000 (56.024)	Prec@5 83.500 (84.519)
Epoch: [85][7840/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.6768 (1.6343)	Prec@1 55.000 (56.023)	Prec@5 84.000 (84.517)
Epoch: [85][7850/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.7215 (1.6342)	Prec@1 56.500 (56.023)	Prec@5 83.500 (84.517)
Epoch: [85][7860/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6074 (1.6343)	Prec@1 59.500 (56.020)	Prec@5 84.000 (84.515)
Epoch: [85][7870/9018]	Time 0.641 (0.615)	Data 0.001 (0.001)	Loss 1.5271 (1.6343)	Prec@1 59.000 (56.020)	Prec@5 86.500 (84.515)
Epoch: [85][7880/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.7926 (1.6343)	Prec@1 56.500 (56.021)	Prec@5 83.000 (84.515)
Epoch: [85][7890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.4446 (1.6342)	Prec@1 56.500 (56.022)	Prec@5 86.500 (84.516)
Epoch: [85][7900/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.5507 (1.6342)	Prec@1 54.000 (56.023)	Prec@5 86.000 (84.516)
Epoch: [85][7910/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5882 (1.6341)	Prec@1 59.000 (56.024)	Prec@5 86.000 (84.516)
Epoch: [85][7920/9018]	Time 0.627 (0.615)	Data 0.001 (0.001)	Loss 1.6679 (1.6341)	Prec@1 50.500 (56.023)	Prec@5 82.500 (84.517)
Epoch: [85][7930/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.4419 (1.6341)	Prec@1 58.000 (56.022)	Prec@5 88.000 (84.518)
Epoch: [85][7940/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7102 (1.6341)	Prec@1 53.000 (56.021)	Prec@5 84.500 (84.519)
Epoch: [85][7950/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6085 (1.6341)	Prec@1 56.500 (56.020)	Prec@5 82.000 (84.516)
Epoch: [85][7960/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6418 (1.6341)	Prec@1 58.500 (56.021)	Prec@5 85.000 (84.516)
Epoch: [85][7970/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.7284 (1.6342)	Prec@1 51.500 (56.018)	Prec@5 82.500 (84.516)
Epoch: [85][7980/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.7387 (1.6343)	Prec@1 54.500 (56.015)	Prec@5 83.500 (84.515)
Epoch: [85][7990/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7233 (1.6343)	Prec@1 52.500 (56.015)	Prec@5 84.500 (84.514)
Epoch: [85][8000/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.5955 (1.6344)	Prec@1 54.500 (56.013)	Prec@5 86.000 (84.513)
Epoch: [85][8010/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.4977 (1.6344)	Prec@1 59.500 (56.014)	Prec@5 88.000 (84.514)
Epoch: [85][8020/9018]	Time 0.636 (0.615)	Data 0.001 (0.001)	Loss 1.4812 (1.6344)	Prec@1 62.000 (56.014)	Prec@5 87.500 (84.514)
Epoch: [85][8030/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.5633 (1.6344)	Prec@1 57.000 (56.014)	Prec@5 86.500 (84.513)
Epoch: [85][8040/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6319 (1.6343)	Prec@1 57.000 (56.016)	Prec@5 85.000 (84.513)
Epoch: [85][8050/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.6949 (1.6344)	Prec@1 51.000 (56.012)	Prec@5 84.000 (84.513)
Epoch: [85][8060/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.5688 (1.6344)	Prec@1 60.000 (56.013)	Prec@5 84.000 (84.513)
Epoch: [85][8070/9018]	Time 0.719 (0.615)	Data 0.001 (0.001)	Loss 1.5713 (1.6344)	Prec@1 59.000 (56.013)	Prec@5 85.500 (84.512)
Epoch: [85][8080/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.6529 (1.6343)	Prec@1 53.000 (56.013)	Prec@5 84.500 (84.512)
Epoch: [85][8090/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6419 (1.6344)	Prec@1 60.000 (56.010)	Prec@5 83.000 (84.510)
Epoch: [85][8100/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.6473 (1.6345)	Prec@1 55.000 (56.009)	Prec@5 83.500 (84.509)
Epoch: [85][8110/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5262 (1.6344)	Prec@1 58.500 (56.010)	Prec@5 84.500 (84.510)
Epoch: [85][8120/9018]	Time 0.737 (0.615)	Data 0.001 (0.001)	Loss 1.6640 (1.6344)	Prec@1 58.000 (56.009)	Prec@5 83.500 (84.508)
Epoch: [85][8130/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.8297 (1.6345)	Prec@1 48.500 (56.008)	Prec@5 83.500 (84.508)
Epoch: [85][8140/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5917 (1.6345)	Prec@1 57.000 (56.007)	Prec@5 82.000 (84.507)
Epoch: [85][8150/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6370 (1.6346)	Prec@1 54.000 (56.005)	Prec@5 87.500 (84.506)
Epoch: [85][8160/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6435 (1.6346)	Prec@1 58.000 (56.004)	Prec@5 86.500 (84.506)
Epoch: [85][8170/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.5370 (1.6345)	Prec@1 59.500 (56.006)	Prec@5 85.500 (84.506)
Epoch: [85][8180/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.5736 (1.6344)	Prec@1 54.500 (56.007)	Prec@5 87.000 (84.508)
Epoch: [85][8190/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.4760 (1.6344)	Prec@1 63.500 (56.008)	Prec@5 86.000 (84.508)
Epoch: [85][8200/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.6627 (1.6343)	Prec@1 53.500 (56.012)	Prec@5 82.500 (84.509)
Epoch: [85][8210/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.9034 (1.6343)	Prec@1 53.500 (56.012)	Prec@5 78.500 (84.509)
Epoch: [85][8220/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.7572 (1.6343)	Prec@1 51.000 (56.010)	Prec@5 81.500 (84.509)
Epoch: [85][8230/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6882 (1.6343)	Prec@1 54.000 (56.010)	Prec@5 83.000 (84.509)
Epoch: [85][8240/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.4548 (1.6342)	Prec@1 57.500 (56.009)	Prec@5 87.000 (84.511)
Epoch: [85][8250/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.6676 (1.6343)	Prec@1 50.500 (56.007)	Prec@5 84.000 (84.510)
Epoch: [85][8260/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5749 (1.6344)	Prec@1 61.500 (56.006)	Prec@5 85.000 (84.509)
Epoch: [85][8270/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.5872 (1.6344)	Prec@1 56.500 (56.006)	Prec@5 87.500 (84.509)
Epoch: [85][8280/9018]	Time 0.633 (0.615)	Data 0.001 (0.001)	Loss 1.7686 (1.6345)	Prec@1 51.000 (56.004)	Prec@5 80.500 (84.507)
Epoch: [85][8290/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6293 (1.6344)	Prec@1 55.500 (56.004)	Prec@5 83.500 (84.508)
Epoch: [85][8300/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.8417 (1.6345)	Prec@1 51.500 (56.005)	Prec@5 83.000 (84.506)
Epoch: [85][8310/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.6032 (1.6346)	Prec@1 57.500 (56.002)	Prec@5 83.500 (84.505)
Epoch: [85][8320/9018]	Time 0.639 (0.615)	Data 0.001 (0.001)	Loss 1.7634 (1.6346)	Prec@1 55.500 (56.002)	Prec@5 84.500 (84.504)
Epoch: [85][8330/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5531 (1.6346)	Prec@1 53.000 (56.001)	Prec@5 90.500 (84.506)
Epoch: [85][8340/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.6880 (1.6346)	Prec@1 54.000 (56.001)	Prec@5 86.500 (84.507)
Epoch: [85][8350/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7468 (1.6346)	Prec@1 53.500 (56.001)	Prec@5 82.500 (84.506)
Epoch: [85][8360/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.4389 (1.6345)	Prec@1 60.000 (56.004)	Prec@5 89.500 (84.506)
Epoch: [85][8370/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.7152 (1.6346)	Prec@1 55.000 (56.002)	Prec@5 81.000 (84.504)
Epoch: [85][8380/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.6802 (1.6346)	Prec@1 56.000 (56.003)	Prec@5 83.500 (84.505)
Epoch: [85][8390/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.7969 (1.6346)	Prec@1 51.500 (56.003)	Prec@5 82.500 (84.504)
Epoch: [85][8400/9018]	Time 0.741 (0.615)	Data 0.001 (0.001)	Loss 1.8261 (1.6347)	Prec@1 51.000 (56.001)	Prec@5 84.000 (84.502)
Epoch: [85][8410/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.6138 (1.6347)	Prec@1 50.500 (56.001)	Prec@5 85.500 (84.502)
Epoch: [85][8420/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.7340 (1.6348)	Prec@1 57.000 (55.999)	Prec@5 79.000 (84.500)
Epoch: [85][8430/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.6583 (1.6347)	Prec@1 57.000 (56.000)	Prec@5 84.000 (84.501)
Epoch: [85][8440/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.8259 (1.6348)	Prec@1 53.000 (55.996)	Prec@5 81.000 (84.500)
Epoch: [85][8450/9018]	Time 0.725 (0.615)	Data 0.001 (0.001)	Loss 1.7257 (1.6348)	Prec@1 54.500 (55.995)	Prec@5 85.000 (84.500)
Epoch: [85][8460/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.5800 (1.6349)	Prec@1 64.000 (55.994)	Prec@5 89.000 (84.500)
Epoch: [85][8470/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.6844 (1.6350)	Prec@1 55.000 (55.994)	Prec@5 83.000 (84.499)
Epoch: [85][8480/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.5057 (1.6349)	Prec@1 61.500 (55.994)	Prec@5 86.000 (84.501)
Epoch: [85][8490/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7474 (1.6349)	Prec@1 54.000 (55.995)	Prec@5 86.000 (84.502)
Epoch: [85][8500/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.5690 (1.6348)	Prec@1 56.500 (55.994)	Prec@5 86.000 (84.503)
Epoch: [85][8510/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.7046 (1.6348)	Prec@1 57.500 (55.995)	Prec@5 85.000 (84.503)
Epoch: [85][8520/9018]	Time 0.622 (0.615)	Data 0.001 (0.001)	Loss 1.6597 (1.6347)	Prec@1 55.500 (55.996)	Prec@5 84.000 (84.504)
Epoch: [85][8530/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.6611 (1.6348)	Prec@1 55.000 (55.995)	Prec@5 83.000 (84.504)
Epoch: [85][8540/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.6635 (1.6347)	Prec@1 53.500 (55.994)	Prec@5 83.500 (84.503)
Epoch: [85][8550/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.6821 (1.6347)	Prec@1 55.500 (55.997)	Prec@5 81.000 (84.504)
Epoch: [85][8560/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6533 (1.6347)	Prec@1 57.500 (55.997)	Prec@5 82.000 (84.503)
Epoch: [85][8570/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.6933 (1.6347)	Prec@1 53.500 (55.996)	Prec@5 86.000 (84.503)
Epoch: [85][8580/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6221 (1.6347)	Prec@1 56.000 (55.996)	Prec@5 85.000 (84.503)
Epoch: [85][8590/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.5794 (1.6347)	Prec@1 54.500 (55.996)	Prec@5 85.500 (84.503)
Epoch: [85][8600/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6457 (1.6347)	Prec@1 54.500 (55.997)	Prec@5 84.000 (84.503)
Epoch: [85][8610/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.6919 (1.6348)	Prec@1 52.000 (55.996)	Prec@5 83.500 (84.500)
Epoch: [85][8620/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5640 (1.6348)	Prec@1 57.500 (55.995)	Prec@5 86.500 (84.501)
Epoch: [85][8630/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.5808 (1.6348)	Prec@1 58.500 (55.995)	Prec@5 85.500 (84.502)
Epoch: [85][8640/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6532 (1.6348)	Prec@1 57.000 (55.996)	Prec@5 83.500 (84.502)
Epoch: [85][8650/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.7302 (1.6348)	Prec@1 56.500 (55.996)	Prec@5 82.000 (84.502)
Epoch: [85][8660/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.6915 (1.6348)	Prec@1 53.000 (55.995)	Prec@5 83.000 (84.501)
Epoch: [85][8670/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.4631 (1.6349)	Prec@1 56.500 (55.995)	Prec@5 89.000 (84.501)
Epoch: [85][8680/9018]	Time 0.630 (0.615)	Data 0.001 (0.001)	Loss 1.7255 (1.6349)	Prec@1 54.500 (55.994)	Prec@5 81.500 (84.500)
Epoch: [85][8690/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.4400 (1.6349)	Prec@1 59.000 (55.993)	Prec@5 89.000 (84.500)
Epoch: [85][8700/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.7014 (1.6350)	Prec@1 57.500 (55.993)	Prec@5 83.000 (84.499)
Epoch: [85][8710/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.6634 (1.6350)	Prec@1 58.500 (55.993)	Prec@5 82.500 (84.498)
Epoch: [85][8720/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.5790 (1.6350)	Prec@1 54.500 (55.992)	Prec@5 86.500 (84.497)
Epoch: [85][8730/9018]	Time 0.735 (0.615)	Data 0.001 (0.001)	Loss 1.7195 (1.6351)	Prec@1 54.000 (55.991)	Prec@5 82.000 (84.497)
Epoch: [85][8740/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.6931 (1.6351)	Prec@1 59.000 (55.990)	Prec@5 84.000 (84.496)
Epoch: [85][8750/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7250 (1.6351)	Prec@1 55.000 (55.990)	Prec@5 84.000 (84.497)
Epoch: [85][8760/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.5597 (1.6352)	Prec@1 55.000 (55.988)	Prec@5 84.500 (84.495)
Epoch: [85][8770/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.6639 (1.6352)	Prec@1 56.500 (55.989)	Prec@5 86.000 (84.495)
Epoch: [85][8780/9018]	Time 0.742 (0.615)	Data 0.001 (0.001)	Loss 1.7789 (1.6351)	Prec@1 53.000 (55.990)	Prec@5 82.500 (84.496)
Epoch: [85][8790/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.4200 (1.6351)	Prec@1 60.500 (55.991)	Prec@5 89.000 (84.497)
Epoch: [85][8800/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.5678 (1.6351)	Prec@1 63.000 (55.992)	Prec@5 84.000 (84.497)
Epoch: [85][8810/9018]	Time 0.638 (0.615)	Data 0.001 (0.001)	Loss 1.5219 (1.6350)	Prec@1 60.500 (55.994)	Prec@5 85.000 (84.498)
Epoch: [85][8820/9018]	Time 0.591 (0.615)	Data 0.001 (0.001)	Loss 1.5738 (1.6350)	Prec@1 57.500 (55.995)	Prec@5 84.000 (84.496)
Epoch: [85][8830/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.6125 (1.6350)	Prec@1 57.500 (55.996)	Prec@5 84.000 (84.496)
Epoch: [85][8840/9018]	Time 0.646 (0.615)	Data 0.001 (0.001)	Loss 1.7792 (1.6351)	Prec@1 50.500 (55.994)	Prec@5 81.000 (84.495)
Epoch: [85][8850/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.9401 (1.6351)	Prec@1 45.000 (55.994)	Prec@5 78.000 (84.495)
Epoch: [85][8860/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.5985 (1.6351)	Prec@1 53.500 (55.993)	Prec@5 87.500 (84.495)
Epoch: [85][8870/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.6250 (1.6351)	Prec@1 51.500 (55.993)	Prec@5 85.000 (84.496)
Epoch: [85][8880/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7899 (1.6351)	Prec@1 50.500 (55.992)	Prec@5 81.500 (84.494)
Epoch: [85][8890/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.5948 (1.6351)	Prec@1 57.500 (55.993)	Prec@5 86.000 (84.493)
Epoch: [85][8900/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.7674 (1.6352)	Prec@1 51.500 (55.992)	Prec@5 81.000 (84.491)
Epoch: [85][8910/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.8429 (1.6353)	Prec@1 49.500 (55.991)	Prec@5 83.000 (84.491)
Epoch: [85][8920/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5243 (1.6353)	Prec@1 60.500 (55.991)	Prec@5 86.500 (84.491)
Epoch: [85][8930/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.7382 (1.6353)	Prec@1 54.000 (55.988)	Prec@5 86.500 (84.490)
Epoch: [85][8940/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.8054 (1.6353)	Prec@1 54.000 (55.989)	Prec@5 79.500 (84.489)
Epoch: [85][8950/9018]	Time 0.607 (0.615)	Data 0.001 (0.001)	Loss 1.6702 (1.6354)	Prec@1 54.500 (55.988)	Prec@5 83.500 (84.488)
Epoch: [85][8960/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.9011 (1.6354)	Prec@1 54.000 (55.988)	Prec@5 82.500 (84.488)
Epoch: [85][8970/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7772 (1.6355)	Prec@1 51.000 (55.987)	Prec@5 84.000 (84.488)
Epoch: [85][8980/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.5756 (1.6355)	Prec@1 58.000 (55.986)	Prec@5 82.000 (84.488)
Epoch: [85][8990/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.7937 (1.6355)	Prec@1 50.000 (55.985)	Prec@5 85.500 (84.488)
Epoch: [85][9000/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.5959 (1.6355)	Prec@1 55.000 (55.984)	Prec@5 82.500 (84.487)
Epoch: [85][9010/9018]	Time 0.600 (0.615)	Data 0.000 (0.001)	Loss 1.6402 (1.6356)	Prec@1 54.500 (55.983)	Prec@5 84.000 (84.486)
Test: [0/183]	Time 1.393 (1.393)	Loss 2.5601 (2.5601)	Prec@1 36.000 (36.000)	Prec@5 72.000 (72.000)
Test: [10/183]	Time 0.184 (0.313)	Loss 1.5693 (1.6797)	Prec@1 62.500 (55.909)	Prec@5 85.500 (85.318)
Test: [20/183]	Time 0.183 (0.255)	Loss 2.0566 (1.6369)	Prec@1 47.500 (56.405)	Prec@5 80.500 (85.452)
Test: [30/183]	Time 0.194 (0.237)	Loss 2.1041 (1.6507)	Prec@1 35.000 (55.177)	Prec@5 81.500 (85.790)
Test: [40/183]	Time 0.186 (0.227)	Loss 2.2555 (1.6559)	Prec@1 39.000 (55.780)	Prec@5 80.000 (85.244)
Test: [50/183]	Time 0.184 (0.220)	Loss 1.4705 (1.6238)	Prec@1 60.000 (56.490)	Prec@5 88.000 (85.627)
Test: [60/183]	Time 0.201 (0.217)	Loss 2.1990 (1.6853)	Prec@1 43.500 (54.615)	Prec@5 75.500 (84.852)
Test: [70/183]	Time 0.185 (0.213)	Loss 1.6579 (1.6637)	Prec@1 52.500 (55.042)	Prec@5 86.000 (85.268)
Test: [80/183]	Time 0.190 (0.211)	Loss 1.3734 (1.6503)	Prec@1 58.000 (55.056)	Prec@5 92.500 (85.432)
Test: [90/183]	Time 0.186 (0.208)	Loss 2.1517 (1.6529)	Prec@1 41.500 (55.099)	Prec@5 74.500 (85.385)
Test: [100/183]	Time 0.188 (0.206)	Loss 0.7604 (1.6559)	Prec@1 77.500 (55.020)	Prec@5 95.000 (85.386)
Test: [110/183]	Time 0.189 (0.206)	Loss 0.6945 (1.6620)	Prec@1 80.000 (54.865)	Prec@5 95.500 (85.284)
Test: [120/183]	Time 0.198 (0.205)	Loss 2.1517 (1.6687)	Prec@1 43.500 (54.694)	Prec@5 74.500 (85.264)
Test: [130/183]	Time 0.190 (0.205)	Loss 2.8043 (1.6743)	Prec@1 21.500 (54.508)	Prec@5 76.000 (85.366)
Test: [140/183]	Time 0.183 (0.204)	Loss 1.5286 (1.6664)	Prec@1 62.000 (54.805)	Prec@5 87.500 (85.546)
Test: [150/183]	Time 0.187 (0.203)	Loss 0.6374 (1.6623)	Prec@1 81.000 (54.983)	Prec@5 98.000 (85.616)
Test: [160/183]	Time 0.189 (0.203)	Loss 1.7417 (1.6580)	Prec@1 50.500 (55.177)	Prec@5 85.000 (85.640)
Test: [170/183]	Time 0.182 (0.202)	Loss 2.1632 (1.6739)	Prec@1 28.500 (54.722)	Prec@5 82.500 (85.444)
Test: [180/183]	Time 0.181 (0.201)	Loss 2.1386 (1.6827)	Prec@1 44.000 (54.619)	Prec@5 80.500 (85.285)
 * Prec@1 54.595 Prec@5 85.274
Epoch: [86][0/9018]	Time 3.321 (3.321)	Data 2.709 (2.709)	Loss 1.6598 (1.6598)	Prec@1 56.500 (56.500)	Prec@5 81.500 (81.500)
Epoch: [86][10/9018]	Time 0.594 (0.867)	Data 0.001 (0.247)	Loss 1.3956 (1.5724)	Prec@1 61.500 (57.409)	Prec@5 88.000 (85.636)
Epoch: [86][20/9018]	Time 0.597 (0.737)	Data 0.001 (0.130)	Loss 1.5424 (1.5353)	Prec@1 58.000 (58.762)	Prec@5 85.000 (85.857)
Epoch: [86][30/9018]	Time 0.595 (0.696)	Data 0.001 (0.088)	Loss 1.6679 (1.5695)	Prec@1 56.000 (57.774)	Prec@5 83.000 (85.419)
Epoch: [86][40/9018]	Time 0.590 (0.672)	Data 0.001 (0.067)	Loss 1.3625 (1.5802)	Prec@1 61.000 (57.634)	Prec@5 91.500 (85.244)
Epoch: [86][50/9018]	Time 0.595 (0.660)	Data 0.001 (0.054)	Loss 1.5698 (1.5912)	Prec@1 58.000 (57.216)	Prec@5 87.500 (85.108)
Epoch: [86][60/9018]	Time 0.599 (0.654)	Data 0.001 (0.045)	Loss 1.5052 (1.5869)	Prec@1 61.500 (57.320)	Prec@5 87.500 (85.090)
Epoch: [86][70/9018]	Time 0.600 (0.646)	Data 0.001 (0.039)	Loss 1.6156 (1.5934)	Prec@1 55.000 (57.035)	Prec@5 86.500 (84.958)
Epoch: [86][80/9018]	Time 0.593 (0.643)	Data 0.001 (0.034)	Loss 1.6235 (1.5965)	Prec@1 60.000 (57.043)	Prec@5 81.500 (84.907)
Epoch: [86][90/9018]	Time 0.633 (0.638)	Data 0.001 (0.031)	Loss 1.4531 (1.5998)	Prec@1 59.500 (56.824)	Prec@5 89.000 (84.863)
Epoch: [86][100/9018]	Time 0.612 (0.636)	Data 0.001 (0.028)	Loss 1.4435 (1.5993)	Prec@1 64.000 (56.787)	Prec@5 86.000 (84.876)
Epoch: [86][110/9018]	Time 0.601 (0.635)	Data 0.001 (0.025)	Loss 1.8736 (1.6043)	Prec@1 48.000 (56.599)	Prec@5 79.500 (84.811)
Epoch: [86][120/9018]	Time 0.605 (0.632)	Data 0.001 (0.023)	Loss 1.5767 (1.6022)	Prec@1 55.500 (56.628)	Prec@5 85.500 (84.860)
Epoch: [86][130/9018]	Time 0.599 (0.631)	Data 0.001 (0.021)	Loss 1.6111 (1.6048)	Prec@1 56.500 (56.653)	Prec@5 83.000 (84.794)
Epoch: [86][140/9018]	Time 0.860 (0.631)	Data 0.001 (0.020)	Loss 1.6853 (1.6079)	Prec@1 53.500 (56.603)	Prec@5 84.500 (84.741)
Epoch: [86][150/9018]	Time 0.603 (0.630)	Data 0.001 (0.019)	Loss 1.7121 (1.6068)	Prec@1 53.500 (56.593)	Prec@5 84.500 (84.795)
Epoch: [86][160/9018]	Time 0.595 (0.630)	Data 0.001 (0.018)	Loss 1.5666 (1.6064)	Prec@1 59.500 (56.677)	Prec@5 87.000 (84.792)
Epoch: [86][170/9018]	Time 0.637 (0.628)	Data 0.001 (0.017)	Loss 1.6082 (1.6034)	Prec@1 56.000 (56.801)	Prec@5 86.500 (84.895)
Epoch: [86][180/9018]	Time 0.599 (0.627)	Data 0.001 (0.016)	Loss 1.6066 (1.6062)	Prec@1 57.500 (56.743)	Prec@5 86.500 (84.925)
Epoch: [86][190/9018]	Time 0.755 (0.627)	Data 0.001 (0.015)	Loss 1.4906 (1.6069)	Prec@1 59.000 (56.770)	Prec@5 85.500 (84.921)
Epoch: [86][200/9018]	Time 0.600 (0.626)	Data 0.001 (0.014)	Loss 1.6064 (1.6043)	Prec@1 57.000 (56.818)	Prec@5 86.500 (84.993)
Epoch: [86][210/9018]	Time 0.603 (0.627)	Data 0.001 (0.014)	Loss 1.5292 (1.6060)	Prec@1 59.500 (56.763)	Prec@5 85.500 (84.969)
Epoch: [86][220/9018]	Time 0.592 (0.625)	Data 0.001 (0.013)	Loss 1.5848 (1.6066)	Prec@1 56.500 (56.717)	Prec@5 82.500 (84.964)
Epoch: [86][230/9018]	Time 0.596 (0.625)	Data 0.001 (0.013)	Loss 1.7343 (1.6087)	Prec@1 56.000 (56.690)	Prec@5 82.500 (84.931)
Epoch: [86][240/9018]	Time 0.606 (0.625)	Data 0.001 (0.012)	Loss 1.7114 (1.6094)	Prec@1 54.000 (56.629)	Prec@5 82.500 (84.909)
Epoch: [86][250/9018]	Time 0.621 (0.624)	Data 0.001 (0.012)	Loss 1.7169 (1.6103)	Prec@1 55.000 (56.622)	Prec@5 84.000 (84.892)
Epoch: [86][260/9018]	Time 0.594 (0.624)	Data 0.001 (0.011)	Loss 1.5116 (1.6098)	Prec@1 55.500 (56.686)	Prec@5 89.000 (84.889)
Epoch: [86][270/9018]	Time 0.613 (0.623)	Data 0.001 (0.011)	Loss 1.4888 (1.6074)	Prec@1 58.500 (56.775)	Prec@5 90.000 (84.939)
Epoch: [86][280/9018]	Time 0.599 (0.623)	Data 0.001 (0.010)	Loss 1.5884 (1.6100)	Prec@1 55.000 (56.722)	Prec@5 82.000 (84.891)
Epoch: [86][290/9018]	Time 0.620 (0.623)	Data 0.001 (0.010)	Loss 1.6506 (1.6109)	Prec@1 54.500 (56.708)	Prec@5 84.000 (84.857)
Epoch: [86][300/9018]	Time 0.597 (0.622)	Data 0.001 (0.010)	Loss 1.7272 (1.6102)	Prec@1 51.000 (56.671)	Prec@5 80.500 (84.874)
Epoch: [86][310/9018]	Time 0.602 (0.622)	Data 0.001 (0.010)	Loss 1.8198 (1.6115)	Prec@1 52.000 (56.641)	Prec@5 82.000 (84.846)
Epoch: [86][320/9018]	Time 0.598 (0.622)	Data 0.001 (0.009)	Loss 1.7190 (1.6118)	Prec@1 54.500 (56.648)	Prec@5 85.000 (84.860)
Epoch: [86][330/9018]	Time 0.604 (0.621)	Data 0.001 (0.009)	Loss 1.6982 (1.6108)	Prec@1 52.500 (56.624)	Prec@5 83.000 (84.860)
Epoch: [86][340/9018]	Time 0.596 (0.622)	Data 0.001 (0.009)	Loss 1.6436 (1.6130)	Prec@1 55.000 (56.550)	Prec@5 88.000 (84.845)
Epoch: [86][350/9018]	Time 0.617 (0.621)	Data 0.001 (0.009)	Loss 1.4994 (1.6127)	Prec@1 57.500 (56.520)	Prec@5 89.500 (84.845)
Epoch: [86][360/9018]	Time 0.633 (0.622)	Data 0.001 (0.008)	Loss 1.5702 (1.6142)	Prec@1 58.000 (56.489)	Prec@5 85.500 (84.820)
Epoch: [86][370/9018]	Time 0.634 (0.621)	Data 0.001 (0.008)	Loss 1.7989 (1.6151)	Prec@1 53.500 (56.456)	Prec@5 81.500 (84.814)
Epoch: [86][380/9018]	Time 0.603 (0.621)	Data 0.001 (0.008)	Loss 1.5054 (1.6140)	Prec@1 60.000 (56.484)	Prec@5 88.000 (84.841)
Epoch: [86][390/9018]	Time 0.596 (0.621)	Data 0.001 (0.008)	Loss 1.6719 (1.6131)	Prec@1 54.500 (56.547)	Prec@5 85.500 (84.821)
Epoch: [86][400/9018]	Time 0.618 (0.621)	Data 0.001 (0.008)	Loss 1.5504 (1.6136)	Prec@1 57.000 (56.521)	Prec@5 87.500 (84.799)
Epoch: [86][410/9018]	Time 0.596 (0.621)	Data 0.001 (0.007)	Loss 1.4948 (1.6145)	Prec@1 55.000 (56.488)	Prec@5 84.000 (84.793)
Epoch: [86][420/9018]	Time 0.594 (0.620)	Data 0.001 (0.007)	Loss 1.5864 (1.6133)	Prec@1 57.500 (56.485)	Prec@5 86.000 (84.824)
Epoch: [86][430/9018]	Time 0.611 (0.620)	Data 0.001 (0.007)	Loss 1.4468 (1.6126)	Prec@1 61.500 (56.506)	Prec@5 88.500 (84.861)
Epoch: [86][440/9018]	Time 0.592 (0.620)	Data 0.001 (0.007)	Loss 1.6928 (1.6137)	Prec@1 56.500 (56.459)	Prec@5 83.500 (84.840)
Epoch: [86][450/9018]	Time 0.617 (0.620)	Data 0.001 (0.007)	Loss 1.4907 (1.6121)	Prec@1 57.000 (56.488)	Prec@5 87.000 (84.880)
Epoch: [86][460/9018]	Time 0.597 (0.620)	Data 0.001 (0.007)	Loss 1.5184 (1.6106)	Prec@1 63.500 (56.547)	Prec@5 83.500 (84.886)
Epoch: [86][470/9018]	Time 0.721 (0.620)	Data 0.001 (0.007)	Loss 1.7431 (1.6116)	Prec@1 52.500 (56.533)	Prec@5 81.500 (84.863)
Epoch: [86][480/9018]	Time 0.599 (0.620)	Data 0.001 (0.006)	Loss 1.4040 (1.6112)	Prec@1 60.500 (56.535)	Prec@5 88.500 (84.866)
Epoch: [86][490/9018]	Time 0.626 (0.620)	Data 0.001 (0.006)	Loss 1.8023 (1.6109)	Prec@1 54.500 (56.564)	Prec@5 78.500 (84.853)
Epoch: [86][500/9018]	Time 0.592 (0.619)	Data 0.001 (0.006)	Loss 1.7135 (1.6114)	Prec@1 54.500 (56.550)	Prec@5 81.000 (84.844)
Epoch: [86][510/9018]	Time 0.606 (0.619)	Data 0.001 (0.006)	Loss 1.5323 (1.6112)	Prec@1 59.000 (56.555)	Prec@5 84.500 (84.828)
Epoch: [86][520/9018]	Time 0.731 (0.620)	Data 0.001 (0.006)	Loss 1.6643 (1.6119)	Prec@1 51.500 (56.538)	Prec@5 84.500 (84.809)
Epoch: [86][530/9018]	Time 0.596 (0.619)	Data 0.001 (0.006)	Loss 1.6820 (1.6125)	Prec@1 55.000 (56.510)	Prec@5 82.000 (84.808)
Epoch: [86][540/9018]	Time 0.604 (0.619)	Data 0.001 (0.006)	Loss 1.6916 (1.6124)	Prec@1 57.500 (56.511)	Prec@5 82.000 (84.799)
Epoch: [86][550/9018]	Time 0.610 (0.619)	Data 0.001 (0.006)	Loss 1.6912 (1.6120)	Prec@1 53.500 (56.533)	Prec@5 84.000 (84.799)
Epoch: [86][560/9018]	Time 0.619 (0.619)	Data 0.001 (0.006)	Loss 1.4594 (1.6134)	Prec@1 58.500 (56.512)	Prec@5 87.500 (84.764)
Epoch: [86][570/9018]	Time 0.598 (0.619)	Data 0.001 (0.006)	Loss 1.8297 (1.6136)	Prec@1 53.000 (56.494)	Prec@5 80.000 (84.769)
Epoch: [86][580/9018]	Time 0.593 (0.619)	Data 0.001 (0.005)	Loss 1.7302 (1.6144)	Prec@1 55.500 (56.499)	Prec@5 81.500 (84.764)
Epoch: [86][590/9018]	Time 0.602 (0.619)	Data 0.001 (0.005)	Loss 1.7397 (1.6145)	Prec@1 56.000 (56.503)	Prec@5 85.000 (84.750)
Epoch: [86][600/9018]	Time 0.602 (0.619)	Data 0.001 (0.005)	Loss 1.8244 (1.6137)	Prec@1 51.500 (56.508)	Prec@5 80.000 (84.765)
Epoch: [86][610/9018]	Time 0.598 (0.619)	Data 0.001 (0.005)	Loss 1.5059 (1.6132)	Prec@1 60.500 (56.512)	Prec@5 87.500 (84.773)
Epoch: [86][620/9018]	Time 0.595 (0.619)	Data 0.001 (0.005)	Loss 1.6515 (1.6138)	Prec@1 57.500 (56.518)	Prec@5 80.000 (84.746)
Epoch: [86][630/9018]	Time 0.624 (0.618)	Data 0.001 (0.005)	Loss 1.6513 (1.6135)	Prec@1 51.000 (56.516)	Prec@5 82.500 (84.747)
Epoch: [86][640/9018]	Time 0.606 (0.618)	Data 0.001 (0.005)	Loss 1.4303 (1.6123)	Prec@1 61.500 (56.557)	Prec@5 87.500 (84.757)
Epoch: [86][650/9018]	Time 0.613 (0.618)	Data 0.001 (0.005)	Loss 1.6292 (1.6129)	Prec@1 56.000 (56.542)	Prec@5 83.000 (84.743)
Epoch: [86][660/9018]	Time 0.619 (0.618)	Data 0.001 (0.005)	Loss 1.5518 (1.6131)	Prec@1 59.000 (56.526)	Prec@5 85.000 (84.734)
Epoch: [86][670/9018]	Time 0.613 (0.619)	Data 0.001 (0.005)	Loss 1.7065 (1.6139)	Prec@1 56.500 (56.517)	Prec@5 83.500 (84.725)
Epoch: [86][680/9018]	Time 0.622 (0.618)	Data 0.001 (0.005)	Loss 1.5012 (1.6145)	Prec@1 58.500 (56.491)	Prec@5 88.000 (84.711)
Epoch: [86][690/9018]	Time 0.603 (0.619)	Data 0.001 (0.005)	Loss 1.4704 (1.6138)	Prec@1 59.500 (56.500)	Prec@5 88.000 (84.723)
Epoch: [86][700/9018]	Time 0.609 (0.618)	Data 0.001 (0.005)	Loss 1.4804 (1.6140)	Prec@1 62.000 (56.504)	Prec@5 88.500 (84.713)
Epoch: [86][710/9018]	Time 0.597 (0.618)	Data 0.001 (0.005)	Loss 1.6403 (1.6139)	Prec@1 54.500 (56.499)	Prec@5 83.500 (84.723)
Epoch: [86][720/9018]	Time 0.597 (0.618)	Data 0.001 (0.005)	Loss 1.6941 (1.6144)	Prec@1 54.500 (56.488)	Prec@5 84.000 (84.713)
Epoch: [86][730/9018]	Time 0.608 (0.618)	Data 0.001 (0.005)	Loss 1.6772 (1.6142)	Prec@1 59.000 (56.496)	Prec@5 82.000 (84.713)
Epoch: [86][740/9018]	Time 0.594 (0.618)	Data 0.001 (0.004)	Loss 1.6494 (1.6142)	Prec@1 56.000 (56.497)	Prec@5 84.500 (84.717)
Epoch: [86][750/9018]	Time 0.612 (0.618)	Data 0.001 (0.004)	Loss 1.6282 (1.6143)	Prec@1 55.000 (56.483)	Prec@5 86.500 (84.735)
Epoch: [86][760/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 1.7091 (1.6134)	Prec@1 52.500 (56.514)	Prec@5 81.500 (84.757)
Epoch: [86][770/9018]	Time 0.595 (0.618)	Data 0.001 (0.004)	Loss 1.5591 (1.6133)	Prec@1 58.500 (56.523)	Prec@5 87.500 (84.763)
Epoch: [86][780/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 1.6796 (1.6142)	Prec@1 54.500 (56.510)	Prec@5 84.500 (84.745)
Epoch: [86][790/9018]	Time 0.606 (0.618)	Data 0.001 (0.004)	Loss 1.5059 (1.6136)	Prec@1 54.500 (56.509)	Prec@5 85.500 (84.758)
Epoch: [86][800/9018]	Time 0.748 (0.618)	Data 0.001 (0.004)	Loss 1.5189 (1.6133)	Prec@1 60.000 (56.521)	Prec@5 86.500 (84.767)
Epoch: [86][810/9018]	Time 0.637 (0.618)	Data 0.001 (0.004)	Loss 1.6095 (1.6129)	Prec@1 55.500 (56.540)	Prec@5 84.000 (84.767)
Epoch: [86][820/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 1.5622 (1.6126)	Prec@1 57.500 (56.559)	Prec@5 84.000 (84.760)
Epoch: [86][830/9018]	Time 0.603 (0.618)	Data 0.001 (0.004)	Loss 1.5223 (1.6122)	Prec@1 57.000 (56.558)	Prec@5 85.000 (84.770)
Epoch: [86][840/9018]	Time 0.610 (0.618)	Data 0.001 (0.004)	Loss 1.6614 (1.6131)	Prec@1 56.500 (56.548)	Prec@5 83.000 (84.753)
Epoch: [86][850/9018]	Time 0.719 (0.618)	Data 0.001 (0.004)	Loss 1.7145 (1.6131)	Prec@1 57.500 (56.551)	Prec@5 83.500 (84.751)
Epoch: [86][860/9018]	Time 0.605 (0.618)	Data 0.001 (0.004)	Loss 1.5139 (1.6133)	Prec@1 62.500 (56.551)	Prec@5 88.000 (84.745)
Epoch: [86][870/9018]	Time 0.602 (0.618)	Data 0.001 (0.004)	Loss 1.3802 (1.6130)	Prec@1 66.000 (56.564)	Prec@5 89.500 (84.760)
Epoch: [86][880/9018]	Time 0.601 (0.618)	Data 0.001 (0.004)	Loss 1.6395 (1.6130)	Prec@1 58.000 (56.554)	Prec@5 83.500 (84.770)
Epoch: [86][890/9018]	Time 0.625 (0.618)	Data 0.001 (0.004)	Loss 1.5402 (1.6136)	Prec@1 62.000 (56.552)	Prec@5 85.000 (84.762)
Epoch: [86][900/9018]	Time 0.598 (0.618)	Data 0.001 (0.004)	Loss 1.6839 (1.6134)	Prec@1 55.500 (56.578)	Prec@5 81.500 (84.757)
Epoch: [86][910/9018]	Time 0.595 (0.617)	Data 0.001 (0.004)	Loss 1.5709 (1.6131)	Prec@1 55.000 (56.584)	Prec@5 85.000 (84.754)
Epoch: [86][920/9018]	Time 0.625 (0.618)	Data 0.001 (0.004)	Loss 1.6578 (1.6141)	Prec@1 59.000 (56.559)	Prec@5 86.500 (84.733)
Epoch: [86][930/9018]	Time 0.647 (0.617)	Data 0.001 (0.004)	Loss 1.5274 (1.6144)	Prec@1 59.000 (56.543)	Prec@5 86.000 (84.725)
Epoch: [86][940/9018]	Time 0.597 (0.617)	Data 0.001 (0.004)	Loss 1.3882 (1.6143)	Prec@1 62.000 (56.548)	Prec@5 89.500 (84.729)
Epoch: [86][950/9018]	Time 0.602 (0.617)	Data 0.001 (0.004)	Loss 1.5021 (1.6143)	Prec@1 59.500 (56.550)	Prec@5 85.500 (84.729)
Epoch: [86][960/9018]	Time 0.623 (0.617)	Data 0.001 (0.004)	Loss 1.7156 (1.6148)	Prec@1 53.000 (56.530)	Prec@5 84.000 (84.734)
Epoch: [86][970/9018]	Time 0.607 (0.617)	Data 0.001 (0.004)	Loss 1.6099 (1.6150)	Prec@1 60.500 (56.539)	Prec@5 84.000 (84.729)
Epoch: [86][980/9018]	Time 0.639 (0.617)	Data 0.001 (0.004)	Loss 1.6175 (1.6159)	Prec@1 59.000 (56.513)	Prec@5 85.500 (84.715)
Epoch: [86][990/9018]	Time 0.600 (0.617)	Data 0.001 (0.004)	Loss 1.6026 (1.6162)	Prec@1 61.500 (56.510)	Prec@5 84.000 (84.708)
Epoch: [86][1000/9018]	Time 0.589 (0.617)	Data 0.001 (0.004)	Loss 1.7381 (1.6166)	Prec@1 53.000 (56.497)	Prec@5 82.000 (84.706)
Epoch: [86][1010/9018]	Time 0.597 (0.617)	Data 0.001 (0.003)	Loss 1.7863 (1.6172)	Prec@1 52.000 (56.482)	Prec@5 81.500 (84.704)
Epoch: [86][1020/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.6913 (1.6169)	Prec@1 53.500 (56.484)	Prec@5 86.000 (84.714)
Epoch: [86][1030/9018]	Time 0.600 (0.617)	Data 0.001 (0.003)	Loss 1.5936 (1.6163)	Prec@1 58.500 (56.490)	Prec@5 83.500 (84.729)
Epoch: [86][1040/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 1.5579 (1.6163)	Prec@1 56.500 (56.490)	Prec@5 82.500 (84.725)
Epoch: [86][1050/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 1.6788 (1.6158)	Prec@1 57.000 (56.500)	Prec@5 84.000 (84.731)
Epoch: [86][1060/9018]	Time 0.609 (0.617)	Data 0.001 (0.003)	Loss 1.4735 (1.6157)	Prec@1 60.000 (56.506)	Prec@5 85.500 (84.731)
Epoch: [86][1070/9018]	Time 0.601 (0.617)	Data 0.001 (0.003)	Loss 1.6318 (1.6161)	Prec@1 53.500 (56.501)	Prec@5 84.000 (84.726)
Epoch: [86][1080/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 1.5116 (1.6164)	Prec@1 58.000 (56.488)	Prec@5 87.000 (84.723)
Epoch: [86][1090/9018]	Time 0.602 (0.617)	Data 0.001 (0.003)	Loss 1.7234 (1.6163)	Prec@1 57.000 (56.489)	Prec@5 81.000 (84.726)
Epoch: [86][1100/9018]	Time 0.615 (0.617)	Data 0.001 (0.003)	Loss 1.5785 (1.6162)	Prec@1 56.000 (56.478)	Prec@5 85.000 (84.737)
Epoch: [86][1110/9018]	Time 0.603 (0.617)	Data 0.001 (0.003)	Loss 1.5028 (1.6164)	Prec@1 61.000 (56.474)	Prec@5 85.000 (84.735)
Epoch: [86][1120/9018]	Time 0.594 (0.617)	Data 0.001 (0.003)	Loss 1.6959 (1.6161)	Prec@1 55.500 (56.474)	Prec@5 83.500 (84.736)
Epoch: [86][1130/9018]	Time 0.725 (0.617)	Data 0.001 (0.003)	Loss 1.7258 (1.6164)	Prec@1 59.000 (56.478)	Prec@5 83.000 (84.732)
Epoch: [86][1140/9018]	Time 0.618 (0.617)	Data 0.001 (0.003)	Loss 1.9001 (1.6170)	Prec@1 52.000 (56.472)	Prec@5 82.000 (84.717)
Epoch: [86][1150/9018]	Time 0.638 (0.617)	Data 0.001 (0.003)	Loss 1.5472 (1.6165)	Prec@1 54.000 (56.478)	Prec@5 84.500 (84.726)
Epoch: [86][1160/9018]	Time 0.599 (0.617)	Data 0.001 (0.003)	Loss 1.5792 (1.6162)	Prec@1 58.500 (56.494)	Prec@5 87.000 (84.733)
Epoch: [86][1170/9018]	Time 0.621 (0.617)	Data 0.001 (0.003)	Loss 1.5963 (1.6163)	Prec@1 58.000 (56.478)	Prec@5 83.000 (84.730)
Epoch: [86][1180/9018]	Time 0.736 (0.617)	Data 0.001 (0.003)	Loss 1.5856 (1.6169)	Prec@1 57.500 (56.463)	Prec@5 84.500 (84.714)
Epoch: [86][1190/9018]	Time 0.629 (0.617)	Data 0.001 (0.003)	Loss 1.6939 (1.6165)	Prec@1 55.000 (56.474)	Prec@5 86.000 (84.720)
Epoch: [86][1200/9018]	Time 0.621 (0.617)	Data 0.001 (0.003)	Loss 1.6953 (1.6168)	Prec@1 50.500 (56.457)	Prec@5 82.500 (84.715)
Epoch: [86][1210/9018]	Time 0.638 (0.617)	Data 0.001 (0.003)	Loss 1.6283 (1.6167)	Prec@1 53.500 (56.463)	Prec@5 87.000 (84.719)
Epoch: [86][1220/9018]	Time 0.607 (0.617)	Data 0.001 (0.003)	Loss 1.7868 (1.6168)	Prec@1 57.500 (56.470)	Prec@5 82.500 (84.718)
Epoch: [86][1230/9018]	Time 0.616 (0.617)	Data 0.001 (0.003)	Loss 1.5214 (1.6165)	Prec@1 58.000 (56.469)	Prec@5 89.500 (84.729)
Epoch: [86][1240/9018]	Time 0.590 (0.616)	Data 0.001 (0.003)	Loss 1.7122 (1.6162)	Prec@1 56.000 (56.481)	Prec@5 81.500 (84.730)
Epoch: [86][1250/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.6282 (1.6161)	Prec@1 56.500 (56.486)	Prec@5 85.000 (84.733)
Epoch: [86][1260/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 1.5229 (1.6162)	Prec@1 59.500 (56.494)	Prec@5 86.000 (84.728)
Epoch: [86][1270/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 1.7703 (1.6165)	Prec@1 58.000 (56.491)	Prec@5 83.500 (84.722)
Epoch: [86][1280/9018]	Time 0.634 (0.617)	Data 0.001 (0.003)	Loss 1.6915 (1.6164)	Prec@1 55.000 (56.496)	Prec@5 86.000 (84.725)
Epoch: [86][1290/9018]	Time 0.589 (0.616)	Data 0.001 (0.003)	Loss 1.5402 (1.6165)	Prec@1 61.000 (56.494)	Prec@5 85.500 (84.724)
Epoch: [86][1300/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.5136 (1.6165)	Prec@1 61.000 (56.495)	Prec@5 86.500 (84.731)
Epoch: [86][1310/9018]	Time 0.600 (0.616)	Data 0.001 (0.003)	Loss 1.6364 (1.6164)	Prec@1 53.500 (56.496)	Prec@5 84.000 (84.734)
Epoch: [86][1320/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 1.6853 (1.6169)	Prec@1 54.000 (56.485)	Prec@5 79.000 (84.727)
Epoch: [86][1330/9018]	Time 0.604 (0.616)	Data 0.001 (0.003)	Loss 1.5335 (1.6172)	Prec@1 58.500 (56.480)	Prec@5 88.500 (84.724)
Epoch: [86][1340/9018]	Time 0.598 (0.616)	Data 0.001 (0.003)	Loss 1.3204 (1.6169)	Prec@1 62.500 (56.481)	Prec@5 88.000 (84.730)
Epoch: [86][1350/9018]	Time 0.595 (0.616)	Data 0.001 (0.003)	Loss 1.5718 (1.6165)	Prec@1 59.000 (56.493)	Prec@5 83.000 (84.735)
Epoch: [86][1360/9018]	Time 0.610 (0.616)	Data 0.001 (0.003)	Loss 1.5996 (1.6167)	Prec@1 57.500 (56.483)	Prec@5 86.000 (84.738)
Epoch: [86][1370/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.6242 (1.6167)	Prec@1 58.500 (56.481)	Prec@5 84.500 (84.743)
Epoch: [86][1380/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.5166 (1.6167)	Prec@1 59.500 (56.485)	Prec@5 85.000 (84.739)
Epoch: [86][1390/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 1.7005 (1.6176)	Prec@1 55.000 (56.465)	Prec@5 84.000 (84.729)
Epoch: [86][1400/9018]	Time 0.596 (0.616)	Data 0.001 (0.003)	Loss 1.5356 (1.6177)	Prec@1 60.000 (56.464)	Prec@5 86.500 (84.727)
Epoch: [86][1410/9018]	Time 0.621 (0.616)	Data 0.001 (0.003)	Loss 1.5481 (1.6179)	Prec@1 58.000 (56.456)	Prec@5 85.500 (84.724)
Epoch: [86][1420/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 1.6073 (1.6172)	Prec@1 58.000 (56.482)	Prec@5 85.000 (84.733)
Epoch: [86][1430/9018]	Time 0.628 (0.616)	Data 0.001 (0.003)	Loss 1.6254 (1.6170)	Prec@1 55.000 (56.489)	Prec@5 84.500 (84.737)
Epoch: [86][1440/9018]	Time 0.594 (0.616)	Data 0.001 (0.003)	Loss 1.5653 (1.6173)	Prec@1 59.500 (56.469)	Prec@5 85.500 (84.735)
Epoch: [86][1450/9018]	Time 0.615 (0.616)	Data 0.001 (0.003)	Loss 1.7570 (1.6178)	Prec@1 52.500 (56.455)	Prec@5 80.000 (84.726)
Epoch: [86][1460/9018]	Time 0.752 (0.616)	Data 0.001 (0.003)	Loss 1.6070 (1.6173)	Prec@1 61.000 (56.466)	Prec@5 83.000 (84.732)
Epoch: [86][1470/9018]	Time 0.593 (0.616)	Data 0.001 (0.003)	Loss 1.5811 (1.6176)	Prec@1 54.000 (56.457)	Prec@5 87.000 (84.736)
Epoch: [86][1480/9018]	Time 0.589 (0.616)	Data 0.001 (0.003)	Loss 1.6679 (1.6178)	Prec@1 52.500 (56.440)	Prec@5 85.000 (84.738)
Epoch: [86][1490/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.7661 (1.6181)	Prec@1 52.000 (56.436)	Prec@5 82.500 (84.733)
Epoch: [86][1500/9018]	Time 0.605 (0.616)	Data 0.001 (0.003)	Loss 1.5704 (1.6177)	Prec@1 59.000 (56.445)	Prec@5 85.000 (84.739)
Epoch: [86][1510/9018]	Time 0.720 (0.616)	Data 0.001 (0.003)	Loss 1.5821 (1.6174)	Prec@1 54.500 (56.447)	Prec@5 86.500 (84.746)
Epoch: [86][1520/9018]	Time 0.619 (0.616)	Data 0.001 (0.003)	Loss 1.7946 (1.6174)	Prec@1 57.500 (56.451)	Prec@5 82.500 (84.748)
Epoch: [86][1530/9018]	Time 0.602 (0.616)	Data 0.001 (0.003)	Loss 1.6426 (1.6179)	Prec@1 59.000 (56.451)	Prec@5 85.500 (84.737)
Epoch: [86][1540/9018]	Time 0.608 (0.616)	Data 0.001 (0.003)	Loss 1.7170 (1.6180)	Prec@1 50.500 (56.449)	Prec@5 84.500 (84.738)
Epoch: [86][1550/9018]	Time 0.628 (0.616)	Data 0.001 (0.003)	Loss 1.5541 (1.6179)	Prec@1 59.000 (56.452)	Prec@5 84.500 (84.737)
Epoch: [86][1560/9018]	Time 0.630 (0.616)	Data 0.001 (0.003)	Loss 1.5950 (1.6179)	Prec@1 54.000 (56.449)	Prec@5 86.000 (84.739)
Epoch: [86][1570/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.4651 (1.6177)	Prec@1 63.000 (56.454)	Prec@5 87.500 (84.744)
Epoch: [86][1580/9018]	Time 0.601 (0.616)	Data 0.001 (0.003)	Loss 1.7734 (1.6180)	Prec@1 49.500 (56.441)	Prec@5 82.000 (84.742)
Epoch: [86][1590/9018]	Time 0.629 (0.616)	Data 0.001 (0.003)	Loss 1.5881 (1.6177)	Prec@1 55.000 (56.441)	Prec@5 87.000 (84.752)
Epoch: [86][1600/9018]	Time 0.612 (0.616)	Data 0.001 (0.003)	Loss 1.7933 (1.6181)	Prec@1 56.000 (56.430)	Prec@5 86.000 (84.749)
Epoch: [86][1610/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 1.5393 (1.6179)	Prec@1 58.000 (56.434)	Prec@5 87.000 (84.756)
Epoch: [86][1620/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.6653 (1.6179)	Prec@1 57.500 (56.435)	Prec@5 85.000 (84.762)
Epoch: [86][1630/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.5564 (1.6178)	Prec@1 56.000 (56.438)	Prec@5 84.000 (84.760)
Epoch: [86][1640/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.6410 (1.6182)	Prec@1 58.000 (56.431)	Prec@5 84.500 (84.752)
Epoch: [86][1650/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.6245 (1.6182)	Prec@1 58.000 (56.443)	Prec@5 85.000 (84.751)
Epoch: [86][1660/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.6151 (1.6183)	Prec@1 57.500 (56.440)	Prec@5 83.000 (84.746)
Epoch: [86][1670/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 1.6022 (1.6184)	Prec@1 58.000 (56.433)	Prec@5 83.500 (84.743)
Epoch: [86][1680/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.6927 (1.6185)	Prec@1 55.000 (56.431)	Prec@5 84.000 (84.742)
Epoch: [86][1690/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 1.6323 (1.6182)	Prec@1 54.500 (56.436)	Prec@5 84.000 (84.751)
Epoch: [86][1700/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.5473 (1.6184)	Prec@1 59.000 (56.434)	Prec@5 86.000 (84.749)
Epoch: [86][1710/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.8794 (1.6186)	Prec@1 50.500 (56.431)	Prec@5 84.500 (84.743)
Epoch: [86][1720/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.6344 (1.6186)	Prec@1 59.500 (56.434)	Prec@5 85.000 (84.744)
Epoch: [86][1730/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.6894 (1.6186)	Prec@1 58.500 (56.437)	Prec@5 84.500 (84.745)
Epoch: [86][1740/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.5348 (1.6185)	Prec@1 54.500 (56.441)	Prec@5 84.500 (84.747)
Epoch: [86][1750/9018]	Time 0.607 (0.616)	Data 0.001 (0.002)	Loss 1.5878 (1.6180)	Prec@1 57.000 (56.451)	Prec@5 84.000 (84.751)
Epoch: [86][1760/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.7953 (1.6180)	Prec@1 54.000 (56.450)	Prec@5 81.000 (84.754)
Epoch: [86][1770/9018]	Time 0.633 (0.616)	Data 0.001 (0.002)	Loss 1.4581 (1.6178)	Prec@1 60.500 (56.456)	Prec@5 87.000 (84.754)
Epoch: [86][1780/9018]	Time 0.591 (0.616)	Data 0.001 (0.002)	Loss 1.5633 (1.6180)	Prec@1 56.500 (56.449)	Prec@5 86.500 (84.754)
Epoch: [86][1790/9018]	Time 0.727 (0.616)	Data 0.001 (0.002)	Loss 1.5512 (1.6180)	Prec@1 56.500 (56.446)	Prec@5 85.500 (84.751)
Epoch: [86][1800/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.4870 (1.6179)	Prec@1 63.500 (56.445)	Prec@5 86.000 (84.752)
Epoch: [86][1810/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 1.7093 (1.6179)	Prec@1 51.000 (56.447)	Prec@5 83.000 (84.752)
Epoch: [86][1820/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.5337 (1.6183)	Prec@1 58.000 (56.443)	Prec@5 87.500 (84.747)
Epoch: [86][1830/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.5012 (1.6180)	Prec@1 61.000 (56.448)	Prec@5 84.500 (84.748)
Epoch: [86][1840/9018]	Time 0.736 (0.616)	Data 0.001 (0.002)	Loss 1.4779 (1.6182)	Prec@1 61.000 (56.443)	Prec@5 87.500 (84.747)
Epoch: [86][1850/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 1.7761 (1.6181)	Prec@1 54.000 (56.442)	Prec@5 81.000 (84.750)
Epoch: [86][1860/9018]	Time 0.592 (0.616)	Data 0.004 (0.002)	Loss 1.6091 (1.6182)	Prec@1 60.500 (56.436)	Prec@5 86.000 (84.750)
Epoch: [86][1870/9018]	Time 0.638 (0.616)	Data 0.001 (0.002)	Loss 1.5776 (1.6182)	Prec@1 58.500 (56.433)	Prec@5 84.000 (84.750)
Epoch: [86][1880/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.5214 (1.6180)	Prec@1 61.500 (56.440)	Prec@5 84.000 (84.749)
Epoch: [86][1890/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.5519 (1.6180)	Prec@1 58.000 (56.433)	Prec@5 83.500 (84.749)
Epoch: [86][1900/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 1.5976 (1.6182)	Prec@1 58.500 (56.432)	Prec@5 82.500 (84.741)
Epoch: [86][1910/9018]	Time 0.606 (0.616)	Data 0.001 (0.002)	Loss 1.4446 (1.6179)	Prec@1 56.000 (56.437)	Prec@5 87.500 (84.747)
Epoch: [86][1920/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.6216 (1.6179)	Prec@1 56.500 (56.434)	Prec@5 80.500 (84.743)
Epoch: [86][1930/9018]	Time 0.615 (0.616)	Data 0.001 (0.002)	Loss 1.6979 (1.6179)	Prec@1 55.500 (56.437)	Prec@5 83.500 (84.748)
Epoch: [86][1940/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.5845 (1.6181)	Prec@1 58.500 (56.434)	Prec@5 86.000 (84.747)
Epoch: [86][1950/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 1.7519 (1.6182)	Prec@1 50.000 (56.430)	Prec@5 84.000 (84.748)
Epoch: [86][1960/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.5931 (1.6180)	Prec@1 58.500 (56.441)	Prec@5 83.500 (84.747)
Epoch: [86][1970/9018]	Time 0.619 (0.616)	Data 0.001 (0.002)	Loss 1.7920 (1.6181)	Prec@1 54.500 (56.444)	Prec@5 79.500 (84.746)
Epoch: [86][1980/9018]	Time 0.622 (0.616)	Data 0.001 (0.002)	Loss 1.6977 (1.6181)	Prec@1 50.000 (56.443)	Prec@5 84.000 (84.748)
Epoch: [86][1990/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.8112 (1.6184)	Prec@1 52.500 (56.436)	Prec@5 81.000 (84.743)
Epoch: [86][2000/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 1.5528 (1.6186)	Prec@1 59.000 (56.431)	Prec@5 84.000 (84.739)
Epoch: [86][2010/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.4645 (1.6186)	Prec@1 57.500 (56.427)	Prec@5 87.500 (84.742)
Epoch: [86][2020/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 1.7933 (1.6186)	Prec@1 53.500 (56.429)	Prec@5 82.500 (84.739)
Epoch: [86][2030/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.5866 (1.6188)	Prec@1 54.000 (56.421)	Prec@5 86.000 (84.736)
Epoch: [86][2040/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 1.4922 (1.6190)	Prec@1 61.500 (56.415)	Prec@5 86.000 (84.732)
Epoch: [86][2050/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 1.8043 (1.6192)	Prec@1 53.500 (56.410)	Prec@5 82.000 (84.726)
Epoch: [86][2060/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 1.6446 (1.6191)	Prec@1 58.000 (56.413)	Prec@5 82.500 (84.725)
Epoch: [86][2070/9018]	Time 0.627 (0.616)	Data 0.001 (0.002)	Loss 1.5862 (1.6190)	Prec@1 52.000 (56.411)	Prec@5 88.000 (84.726)
Epoch: [86][2080/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.6742 (1.6189)	Prec@1 58.000 (56.416)	Prec@5 84.500 (84.726)
Epoch: [86][2090/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.7642 (1.6189)	Prec@1 52.500 (56.416)	Prec@5 83.500 (84.727)
Epoch: [86][2100/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 1.5601 (1.6190)	Prec@1 61.000 (56.418)	Prec@5 85.000 (84.723)
Epoch: [86][2110/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.4646 (1.6191)	Prec@1 57.000 (56.414)	Prec@5 85.500 (84.722)
Epoch: [86][2120/9018]	Time 0.730 (0.616)	Data 0.001 (0.002)	Loss 1.5918 (1.6191)	Prec@1 57.500 (56.414)	Prec@5 84.500 (84.720)
Epoch: [86][2130/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.6376 (1.6192)	Prec@1 57.500 (56.414)	Prec@5 86.000 (84.719)
Epoch: [86][2140/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 1.5811 (1.6193)	Prec@1 60.000 (56.411)	Prec@5 86.000 (84.720)
Epoch: [86][2150/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 1.7627 (1.6194)	Prec@1 55.000 (56.413)	Prec@5 81.500 (84.714)
Epoch: [86][2160/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.6885 (1.6198)	Prec@1 57.000 (56.413)	Prec@5 85.500 (84.709)
Epoch: [86][2170/9018]	Time 0.731 (0.616)	Data 0.001 (0.002)	Loss 1.3828 (1.6198)	Prec@1 60.000 (56.411)	Prec@5 87.500 (84.711)
Epoch: [86][2180/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.5177 (1.6196)	Prec@1 64.500 (56.410)	Prec@5 84.500 (84.716)
Epoch: [86][2190/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.4723 (1.6195)	Prec@1 58.500 (56.411)	Prec@5 85.500 (84.721)
Epoch: [86][2200/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 1.6515 (1.6196)	Prec@1 57.000 (56.409)	Prec@5 84.000 (84.720)
Epoch: [86][2210/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 1.6205 (1.6199)	Prec@1 54.000 (56.402)	Prec@5 85.000 (84.716)
Epoch: [86][2220/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.8169 (1.6199)	Prec@1 53.000 (56.404)	Prec@5 83.500 (84.716)
Epoch: [86][2230/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.5441 (1.6199)	Prec@1 63.500 (56.406)	Prec@5 86.500 (84.715)
Epoch: [86][2240/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.4294 (1.6197)	Prec@1 60.000 (56.413)	Prec@5 87.500 (84.718)
Epoch: [86][2250/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.6488 (1.6196)	Prec@1 53.500 (56.406)	Prec@5 84.500 (84.722)
Epoch: [86][2260/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.6487 (1.6197)	Prec@1 57.500 (56.404)	Prec@5 83.000 (84.720)
Epoch: [86][2270/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.6933 (1.6197)	Prec@1 54.000 (56.402)	Prec@5 84.500 (84.717)
Epoch: [86][2280/9018]	Time 0.631 (0.616)	Data 0.001 (0.002)	Loss 1.7627 (1.6199)	Prec@1 53.500 (56.403)	Prec@5 83.500 (84.715)
Epoch: [86][2290/9018]	Time 0.609 (0.616)	Data 0.001 (0.002)	Loss 1.6205 (1.6199)	Prec@1 58.000 (56.404)	Prec@5 84.000 (84.715)
Epoch: [86][2300/9018]	Time 0.598 (0.616)	Data 0.001 (0.002)	Loss 1.4541 (1.6197)	Prec@1 59.500 (56.409)	Prec@5 88.500 (84.720)
Epoch: [86][2310/9018]	Time 0.601 (0.616)	Data 0.001 (0.002)	Loss 1.5545 (1.6196)	Prec@1 56.000 (56.416)	Prec@5 86.500 (84.721)
Epoch: [86][2320/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.6100 (1.6194)	Prec@1 56.000 (56.423)	Prec@5 83.000 (84.721)
Epoch: [86][2330/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 1.7336 (1.6195)	Prec@1 56.500 (56.421)	Prec@5 80.500 (84.718)
Epoch: [86][2340/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 1.6292 (1.6193)	Prec@1 56.000 (56.425)	Prec@5 86.000 (84.721)
Epoch: [86][2350/9018]	Time 0.623 (0.616)	Data 0.001 (0.002)	Loss 1.6223 (1.6195)	Prec@1 54.500 (56.419)	Prec@5 86.500 (84.717)
Epoch: [86][2360/9018]	Time 0.602 (0.616)	Data 0.001 (0.002)	Loss 1.6718 (1.6193)	Prec@1 60.500 (56.417)	Prec@5 80.500 (84.718)
Epoch: [86][2370/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 1.3664 (1.6194)	Prec@1 60.000 (56.416)	Prec@5 90.000 (84.720)
Epoch: [86][2380/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.5229 (1.6193)	Prec@1 60.000 (56.419)	Prec@5 86.000 (84.718)
Epoch: [86][2390/9018]	Time 0.614 (0.616)	Data 0.001 (0.002)	Loss 1.6136 (1.6192)	Prec@1 54.500 (56.422)	Prec@5 86.000 (84.721)
Epoch: [86][2400/9018]	Time 0.635 (0.616)	Data 0.001 (0.002)	Loss 1.5517 (1.6194)	Prec@1 56.500 (56.419)	Prec@5 84.000 (84.719)
Epoch: [86][2410/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.7385 (1.6197)	Prec@1 56.500 (56.417)	Prec@5 81.500 (84.713)
Epoch: [86][2420/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.7236 (1.6194)	Prec@1 57.000 (56.423)	Prec@5 83.000 (84.712)
Epoch: [86][2430/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.6146 (1.6194)	Prec@1 55.000 (56.423)	Prec@5 84.500 (84.714)
Epoch: [86][2440/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.4685 (1.6193)	Prec@1 60.000 (56.422)	Prec@5 87.500 (84.718)
Epoch: [86][2450/9018]	Time 0.740 (0.616)	Data 0.001 (0.002)	Loss 1.7920 (1.6191)	Prec@1 52.000 (56.428)	Prec@5 82.500 (84.719)
Epoch: [86][2460/9018]	Time 0.604 (0.616)	Data 0.001 (0.002)	Loss 1.8479 (1.6193)	Prec@1 53.500 (56.423)	Prec@5 81.000 (84.718)
Epoch: [86][2470/9018]	Time 0.613 (0.616)	Data 0.001 (0.002)	Loss 1.6957 (1.6192)	Prec@1 50.500 (56.419)	Prec@5 87.500 (84.722)
Epoch: [86][2480/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.5151 (1.6192)	Prec@1 59.500 (56.421)	Prec@5 86.000 (84.728)
Epoch: [86][2490/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.5012 (1.6191)	Prec@1 55.500 (56.418)	Prec@5 86.500 (84.727)
Epoch: [86][2500/9018]	Time 0.746 (0.616)	Data 0.001 (0.002)	Loss 1.6644 (1.6190)	Prec@1 51.000 (56.421)	Prec@5 85.000 (84.731)
Epoch: [86][2510/9018]	Time 0.617 (0.616)	Data 0.001 (0.002)	Loss 1.7394 (1.6189)	Prec@1 54.500 (56.422)	Prec@5 83.500 (84.733)
Epoch: [86][2520/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.5434 (1.6192)	Prec@1 58.500 (56.424)	Prec@5 84.500 (84.725)
Epoch: [86][2530/9018]	Time 0.599 (0.616)	Data 0.001 (0.002)	Loss 1.5335 (1.6192)	Prec@1 56.000 (56.426)	Prec@5 84.500 (84.720)
Epoch: [86][2540/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.4500 (1.6193)	Prec@1 58.500 (56.423)	Prec@5 86.500 (84.716)
Epoch: [86][2550/9018]	Time 0.629 (0.616)	Data 0.001 (0.002)	Loss 1.5908 (1.6194)	Prec@1 54.500 (56.418)	Prec@5 81.500 (84.717)
Epoch: [86][2560/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.5665 (1.6195)	Prec@1 55.500 (56.412)	Prec@5 85.000 (84.716)
Epoch: [86][2570/9018]	Time 0.597 (0.616)	Data 0.001 (0.002)	Loss 1.7158 (1.6195)	Prec@1 55.500 (56.415)	Prec@5 79.500 (84.713)
Epoch: [86][2580/9018]	Time 0.600 (0.616)	Data 0.001 (0.002)	Loss 1.6746 (1.6197)	Prec@1 54.500 (56.411)	Prec@5 86.000 (84.714)
Epoch: [86][2590/9018]	Time 0.605 (0.616)	Data 0.001 (0.002)	Loss 1.5829 (1.6196)	Prec@1 57.500 (56.417)	Prec@5 85.500 (84.716)
Epoch: [86][2600/9018]	Time 0.628 (0.616)	Data 0.001 (0.002)	Loss 1.4994 (1.6195)	Prec@1 61.000 (56.418)	Prec@5 85.000 (84.717)
Epoch: [86][2610/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.4025 (1.6196)	Prec@1 60.000 (56.409)	Prec@5 88.000 (84.714)
Epoch: [86][2620/9018]	Time 0.625 (0.616)	Data 0.001 (0.002)	Loss 1.5688 (1.6197)	Prec@1 60.500 (56.405)	Prec@5 85.500 (84.716)
Epoch: [86][2630/9018]	Time 0.616 (0.616)	Data 0.001 (0.002)	Loss 1.4792 (1.6196)	Prec@1 59.000 (56.410)	Prec@5 87.000 (84.718)
Epoch: [86][2640/9018]	Time 0.592 (0.616)	Data 0.001 (0.002)	Loss 1.5883 (1.6198)	Prec@1 53.000 (56.405)	Prec@5 85.500 (84.715)
Epoch: [86][2650/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.5379 (1.6201)	Prec@1 56.000 (56.397)	Prec@5 86.000 (84.708)
Epoch: [86][2660/9018]	Time 0.620 (0.616)	Data 0.001 (0.002)	Loss 1.7161 (1.6201)	Prec@1 54.500 (56.400)	Prec@5 83.500 (84.708)
Epoch: [86][2670/9018]	Time 0.593 (0.616)	Data 0.001 (0.002)	Loss 1.5501 (1.6199)	Prec@1 59.500 (56.399)	Prec@5 87.000 (84.715)
Epoch: [86][2680/9018]	Time 0.618 (0.616)	Data 0.001 (0.002)	Loss 1.5471 (1.6197)	Prec@1 52.500 (56.400)	Prec@5 86.500 (84.717)
Epoch: [86][2690/9018]	Time 0.596 (0.616)	Data 0.001 (0.002)	Loss 1.5971 (1.6198)	Prec@1 60.500 (56.404)	Prec@5 84.500 (84.716)
Epoch: [86][2700/9018]	Time 0.594 (0.616)	Data 0.001 (0.002)	Loss 1.5924 (1.6197)	Prec@1 52.500 (56.407)	Prec@5 85.500 (84.718)
Epoch: [86][2710/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.6306 (1.6197)	Prec@1 54.000 (56.407)	Prec@5 86.000 (84.719)
Epoch: [86][2720/9018]	Time 0.590 (0.616)	Data 0.001 (0.002)	Loss 1.7570 (1.6198)	Prec@1 53.500 (56.403)	Prec@5 81.500 (84.714)
Epoch: [86][2730/9018]	Time 0.603 (0.616)	Data 0.001 (0.002)	Loss 1.5997 (1.6197)	Prec@1 57.500 (56.405)	Prec@5 85.000 (84.715)
Epoch: [86][2740/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.6478 (1.6197)	Prec@1 58.000 (56.403)	Prec@5 83.500 (84.712)
Epoch: [86][2750/9018]	Time 0.595 (0.616)	Data 0.001 (0.002)	Loss 1.5296 (1.6197)	Prec@1 59.000 (56.403)	Prec@5 86.000 (84.711)
Epoch: [86][2760/9018]	Time 0.645 (0.615)	Data 0.001 (0.002)	Loss 1.6323 (1.6197)	Prec@1 55.500 (56.403)	Prec@5 84.000 (84.710)
Epoch: [86][2770/9018]	Time 0.610 (0.616)	Data 0.001 (0.002)	Loss 1.5722 (1.6196)	Prec@1 56.000 (56.404)	Prec@5 84.000 (84.711)
Epoch: [86][2780/9018]	Time 0.736 (0.616)	Data 0.001 (0.002)	Loss 1.5841 (1.6196)	Prec@1 51.500 (56.405)	Prec@5 85.000 (84.708)
Epoch: [86][2790/9018]	Time 0.631 (0.615)	Data 0.001 (0.002)	Loss 1.6539 (1.6196)	Prec@1 49.500 (56.407)	Prec@5 84.000 (84.709)
Epoch: [86][2800/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.6015 (1.6197)	Prec@1 53.500 (56.402)	Prec@5 87.000 (84.712)
Epoch: [86][2810/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.5722 (1.6197)	Prec@1 55.000 (56.404)	Prec@5 85.000 (84.711)
Epoch: [86][2820/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.6088 (1.6197)	Prec@1 56.500 (56.408)	Prec@5 84.500 (84.710)
Epoch: [86][2830/9018]	Time 0.756 (0.616)	Data 0.001 (0.002)	Loss 1.4560 (1.6196)	Prec@1 61.500 (56.409)	Prec@5 87.000 (84.714)
Epoch: [86][2840/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.5198 (1.6197)	Prec@1 58.500 (56.402)	Prec@5 87.000 (84.711)
Epoch: [86][2850/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.6772 (1.6197)	Prec@1 54.500 (56.400)	Prec@5 84.000 (84.710)
Epoch: [86][2860/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.4768 (1.6196)	Prec@1 62.500 (56.404)	Prec@5 86.500 (84.711)
Epoch: [86][2870/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.4516 (1.6194)	Prec@1 60.000 (56.407)	Prec@5 85.000 (84.714)
Epoch: [86][2880/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.5880 (1.6194)	Prec@1 58.000 (56.403)	Prec@5 87.000 (84.713)
Epoch: [86][2890/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.5543 (1.6194)	Prec@1 54.000 (56.400)	Prec@5 87.500 (84.714)
Epoch: [86][2900/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.6486 (1.6194)	Prec@1 55.500 (56.399)	Prec@5 86.000 (84.714)
Epoch: [86][2910/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 1.6242 (1.6192)	Prec@1 56.500 (56.406)	Prec@5 85.500 (84.716)
Epoch: [86][2920/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.5949 (1.6194)	Prec@1 58.000 (56.401)	Prec@5 84.500 (84.713)
Epoch: [86][2930/9018]	Time 0.632 (0.615)	Data 0.001 (0.002)	Loss 1.4347 (1.6194)	Prec@1 57.500 (56.399)	Prec@5 89.000 (84.714)
Epoch: [86][2940/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.7027 (1.6195)	Prec@1 52.500 (56.394)	Prec@5 81.000 (84.707)
Epoch: [86][2950/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.6614 (1.6194)	Prec@1 51.000 (56.395)	Prec@5 85.500 (84.709)
Epoch: [86][2960/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.7941 (1.6195)	Prec@1 53.500 (56.396)	Prec@5 83.500 (84.709)
Epoch: [86][2970/9018]	Time 0.602 (0.615)	Data 0.001 (0.002)	Loss 1.7427 (1.6194)	Prec@1 49.500 (56.398)	Prec@5 83.000 (84.709)
Epoch: [86][2980/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.8860 (1.6196)	Prec@1 51.500 (56.391)	Prec@5 79.500 (84.704)
Epoch: [86][2990/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.4724 (1.6196)	Prec@1 58.000 (56.386)	Prec@5 88.500 (84.707)
Epoch: [86][3000/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.6741 (1.6195)	Prec@1 54.500 (56.389)	Prec@5 83.000 (84.710)
Epoch: [86][3010/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 1.7369 (1.6195)	Prec@1 52.000 (56.388)	Prec@5 84.000 (84.710)
Epoch: [86][3020/9018]	Time 0.615 (0.615)	Data 0.001 (0.002)	Loss 1.6486 (1.6196)	Prec@1 52.500 (56.387)	Prec@5 84.000 (84.707)
Epoch: [86][3030/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.6168 (1.6196)	Prec@1 60.000 (56.387)	Prec@5 87.500 (84.707)
Epoch: [86][3040/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.5355 (1.6193)	Prec@1 57.500 (56.397)	Prec@5 86.000 (84.708)
Epoch: [86][3050/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.8515 (1.6193)	Prec@1 48.500 (56.399)	Prec@5 86.000 (84.707)
Epoch: [86][3060/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 1.6465 (1.6195)	Prec@1 52.500 (56.394)	Prec@5 86.000 (84.706)
Epoch: [86][3070/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.5907 (1.6196)	Prec@1 59.000 (56.391)	Prec@5 87.000 (84.702)
Epoch: [86][3080/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 1.6402 (1.6196)	Prec@1 57.500 (56.392)	Prec@5 85.500 (84.704)
Epoch: [86][3090/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.7024 (1.6195)	Prec@1 50.500 (56.390)	Prec@5 86.000 (84.707)
Epoch: [86][3100/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.5936 (1.6197)	Prec@1 53.500 (56.382)	Prec@5 84.500 (84.706)
Epoch: [86][3110/9018]	Time 0.743 (0.615)	Data 0.001 (0.002)	Loss 1.5716 (1.6198)	Prec@1 59.500 (56.381)	Prec@5 83.500 (84.705)
Epoch: [86][3120/9018]	Time 0.628 (0.615)	Data 0.001 (0.002)	Loss 1.6789 (1.6201)	Prec@1 53.500 (56.375)	Prec@5 84.000 (84.700)
Epoch: [86][3130/9018]	Time 0.594 (0.615)	Data 0.001 (0.002)	Loss 1.6911 (1.6201)	Prec@1 57.000 (56.381)	Prec@5 82.500 (84.699)
Epoch: [86][3140/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.5012 (1.6199)	Prec@1 61.000 (56.387)	Prec@5 86.500 (84.700)
Epoch: [86][3150/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.6578 (1.6197)	Prec@1 57.000 (56.395)	Prec@5 83.000 (84.705)
Epoch: [86][3160/9018]	Time 0.757 (0.615)	Data 0.001 (0.002)	Loss 1.7109 (1.6196)	Prec@1 58.000 (56.398)	Prec@5 81.500 (84.706)
Epoch: [86][3170/9018]	Time 0.591 (0.615)	Data 0.001 (0.002)	Loss 1.5460 (1.6198)	Prec@1 58.000 (56.392)	Prec@5 85.000 (84.705)
Epoch: [86][3180/9018]	Time 0.634 (0.615)	Data 0.001 (0.002)	Loss 1.7294 (1.6197)	Prec@1 52.500 (56.389)	Prec@5 88.000 (84.709)
Epoch: [86][3190/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 1.7334 (1.6197)	Prec@1 53.500 (56.389)	Prec@5 81.500 (84.710)
Epoch: [86][3200/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.4452 (1.6196)	Prec@1 62.000 (56.391)	Prec@5 87.500 (84.714)
Epoch: [86][3210/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.5931 (1.6196)	Prec@1 56.500 (56.391)	Prec@5 85.500 (84.712)
Epoch: [86][3220/9018]	Time 0.629 (0.615)	Data 0.001 (0.002)	Loss 1.6437 (1.6197)	Prec@1 57.000 (56.394)	Prec@5 83.500 (84.712)
Epoch: [86][3230/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.6845 (1.6195)	Prec@1 54.500 (56.397)	Prec@5 83.500 (84.714)
Epoch: [86][3240/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.5241 (1.6196)	Prec@1 57.500 (56.392)	Prec@5 85.000 (84.711)
Epoch: [86][3250/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 1.6021 (1.6197)	Prec@1 57.500 (56.390)	Prec@5 83.000 (84.710)
Epoch: [86][3260/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 1.5739 (1.6196)	Prec@1 57.000 (56.393)	Prec@5 86.000 (84.711)
Epoch: [86][3270/9018]	Time 0.605 (0.615)	Data 0.001 (0.002)	Loss 1.4048 (1.6195)	Prec@1 61.000 (56.395)	Prec@5 85.500 (84.708)
Epoch: [86][3280/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.5199 (1.6193)	Prec@1 59.500 (56.400)	Prec@5 86.000 (84.712)
Epoch: [86][3290/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 1.4949 (1.6193)	Prec@1 58.500 (56.401)	Prec@5 86.000 (84.710)
Epoch: [86][3300/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 1.7322 (1.6195)	Prec@1 53.000 (56.393)	Prec@5 83.500 (84.708)
Epoch: [86][3310/9018]	Time 0.619 (0.615)	Data 0.001 (0.002)	Loss 1.7786 (1.6196)	Prec@1 52.000 (56.391)	Prec@5 82.500 (84.707)
Epoch: [86][3320/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.7136 (1.6196)	Prec@1 58.500 (56.392)	Prec@5 82.000 (84.707)
Epoch: [86][3330/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 1.5969 (1.6197)	Prec@1 57.500 (56.389)	Prec@5 85.500 (84.707)
Epoch: [86][3340/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.5125 (1.6199)	Prec@1 56.500 (56.383)	Prec@5 84.500 (84.702)
Epoch: [86][3350/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.6085 (1.6201)	Prec@1 56.500 (56.375)	Prec@5 87.000 (84.699)
Epoch: [86][3360/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 1.5806 (1.6202)	Prec@1 54.500 (56.374)	Prec@5 87.500 (84.699)
Epoch: [86][3370/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.4891 (1.6201)	Prec@1 58.500 (56.374)	Prec@5 85.500 (84.698)
Epoch: [86][3380/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.6871 (1.6201)	Prec@1 56.000 (56.374)	Prec@5 82.000 (84.697)
Epoch: [86][3390/9018]	Time 0.639 (0.615)	Data 0.001 (0.002)	Loss 1.6832 (1.6201)	Prec@1 56.000 (56.375)	Prec@5 84.000 (84.696)
Epoch: [86][3400/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.5473 (1.6201)	Prec@1 57.500 (56.378)	Prec@5 88.500 (84.695)
Epoch: [86][3410/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.6493 (1.6201)	Prec@1 57.000 (56.383)	Prec@5 86.500 (84.696)
Epoch: [86][3420/9018]	Time 0.618 (0.615)	Data 0.001 (0.002)	Loss 1.6442 (1.6200)	Prec@1 57.000 (56.382)	Prec@5 86.500 (84.700)
Epoch: [86][3430/9018]	Time 0.592 (0.615)	Data 0.001 (0.002)	Loss 1.7966 (1.6200)	Prec@1 54.000 (56.381)	Prec@5 81.000 (84.696)
Epoch: [86][3440/9018]	Time 0.720 (0.615)	Data 0.001 (0.002)	Loss 1.5668 (1.6200)	Prec@1 58.000 (56.380)	Prec@5 88.000 (84.695)
Epoch: [86][3450/9018]	Time 0.596 (0.615)	Data 0.001 (0.002)	Loss 1.6942 (1.6201)	Prec@1 53.500 (56.380)	Prec@5 81.000 (84.693)
Epoch: [86][3460/9018]	Time 0.606 (0.615)	Data 0.001 (0.002)	Loss 1.6776 (1.6201)	Prec@1 55.000 (56.381)	Prec@5 84.000 (84.691)
Epoch: [86][3470/9018]	Time 0.608 (0.615)	Data 0.001 (0.002)	Loss 1.5538 (1.6201)	Prec@1 59.000 (56.380)	Prec@5 88.000 (84.690)
Epoch: [86][3480/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 1.3259 (1.6201)	Prec@1 62.500 (56.378)	Prec@5 91.000 (84.692)
Epoch: [86][3490/9018]	Time 0.748 (0.615)	Data 0.001 (0.002)	Loss 1.5981 (1.6201)	Prec@1 54.500 (56.378)	Prec@5 84.000 (84.692)
Epoch: [86][3500/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.5901 (1.6201)	Prec@1 56.500 (56.376)	Prec@5 82.000 (84.691)
Epoch: [86][3510/9018]	Time 0.633 (0.615)	Data 0.001 (0.002)	Loss 1.6869 (1.6201)	Prec@1 58.000 (56.380)	Prec@5 83.000 (84.691)
Epoch: [86][3520/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.5318 (1.6200)	Prec@1 55.500 (56.380)	Prec@5 90.000 (84.695)
Epoch: [86][3530/9018]	Time 0.624 (0.615)	Data 0.001 (0.002)	Loss 1.6086 (1.6200)	Prec@1 56.000 (56.381)	Prec@5 83.500 (84.691)
Epoch: [86][3540/9018]	Time 0.604 (0.615)	Data 0.001 (0.002)	Loss 1.5516 (1.6200)	Prec@1 59.500 (56.382)	Prec@5 85.500 (84.690)
Epoch: [86][3550/9018]	Time 0.614 (0.615)	Data 0.001 (0.002)	Loss 1.5172 (1.6203)	Prec@1 57.500 (56.379)	Prec@5 87.500 (84.687)
Epoch: [86][3560/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 1.5384 (1.6201)	Prec@1 57.000 (56.385)	Prec@5 85.000 (84.691)
Epoch: [86][3570/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.6987 (1.6201)	Prec@1 56.500 (56.386)	Prec@5 82.500 (84.693)
Epoch: [86][3580/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.7625 (1.6203)	Prec@1 60.000 (56.387)	Prec@5 85.000 (84.688)
Epoch: [86][3590/9018]	Time 0.610 (0.615)	Data 0.001 (0.002)	Loss 1.6611 (1.6204)	Prec@1 55.000 (56.385)	Prec@5 85.500 (84.687)
Epoch: [86][3600/9018]	Time 0.609 (0.615)	Data 0.001 (0.002)	Loss 1.5793 (1.6205)	Prec@1 59.000 (56.379)	Prec@5 83.000 (84.682)
Epoch: [86][3610/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.6184 (1.6206)	Prec@1 56.000 (56.376)	Prec@5 83.500 (84.683)
Epoch: [86][3620/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.4523 (1.6206)	Prec@1 58.500 (56.372)	Prec@5 88.000 (84.681)
Epoch: [86][3630/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.4706 (1.6208)	Prec@1 59.000 (56.371)	Prec@5 87.000 (84.677)
Epoch: [86][3640/9018]	Time 0.643 (0.615)	Data 0.001 (0.002)	Loss 1.7031 (1.6208)	Prec@1 49.500 (56.368)	Prec@5 84.500 (84.676)
Epoch: [86][3650/9018]	Time 0.607 (0.615)	Data 0.001 (0.002)	Loss 1.4619 (1.6210)	Prec@1 60.000 (56.365)	Prec@5 88.000 (84.673)
Epoch: [86][3660/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.5245 (1.6208)	Prec@1 53.000 (56.366)	Prec@5 85.000 (84.674)
Epoch: [86][3670/9018]	Time 0.600 (0.615)	Data 0.001 (0.002)	Loss 1.6078 (1.6207)	Prec@1 60.500 (56.370)	Prec@5 83.500 (84.674)
Epoch: [86][3680/9018]	Time 0.589 (0.615)	Data 0.001 (0.002)	Loss 1.5454 (1.6206)	Prec@1 59.000 (56.375)	Prec@5 88.000 (84.677)
Epoch: [86][3690/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.7124 (1.6208)	Prec@1 54.500 (56.370)	Prec@5 78.000 (84.674)
Epoch: [86][3700/9018]	Time 0.626 (0.615)	Data 0.001 (0.002)	Loss 1.6269 (1.6209)	Prec@1 56.000 (56.367)	Prec@5 86.000 (84.673)
Epoch: [86][3710/9018]	Time 0.612 (0.615)	Data 0.001 (0.002)	Loss 1.5670 (1.6209)	Prec@1 53.000 (56.361)	Prec@5 88.000 (84.674)
Epoch: [86][3720/9018]	Time 0.625 (0.615)	Data 0.001 (0.002)	Loss 1.6057 (1.6209)	Prec@1 57.500 (56.363)	Prec@5 83.500 (84.673)
Epoch: [86][3730/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.5106 (1.6208)	Prec@1 56.500 (56.364)	Prec@5 87.500 (84.676)
Epoch: [86][3740/9018]	Time 0.598 (0.615)	Data 0.001 (0.002)	Loss 1.5213 (1.6209)	Prec@1 59.500 (56.360)	Prec@5 86.000 (84.675)
Epoch: [86][3750/9018]	Time 0.637 (0.615)	Data 0.001 (0.002)	Loss 1.7333 (1.6211)	Prec@1 53.000 (56.357)	Prec@5 85.000 (84.673)
Epoch: [86][3760/9018]	Time 0.595 (0.615)	Data 0.001 (0.002)	Loss 1.4109 (1.6210)	Prec@1 54.000 (56.356)	Prec@5 89.500 (84.675)
Epoch: [86][3770/9018]	Time 0.735 (0.615)	Data 0.001 (0.002)	Loss 1.8859 (1.6210)	Prec@1 49.000 (56.354)	Prec@5 82.500 (84.675)
Epoch: [86][3780/9018]	Time 0.616 (0.615)	Data 0.001 (0.002)	Loss 1.5920 (1.6209)	Prec@1 55.500 (56.354)	Prec@5 84.500 (84.680)
Epoch: [86][3790/9018]	Time 0.597 (0.615)	Data 0.001 (0.002)	Loss 1.7541 (1.6210)	Prec@1 51.500 (56.352)	Prec@5 83.500 (84.676)
Epoch: [86][3800/9018]	Time 0.635 (0.615)	Data 0.001 (0.002)	Loss 1.5396 (1.6210)	Prec@1 58.000 (56.353)	Prec@5 85.000 (84.675)
Epoch: [86][3810/9018]	Time 0.593 (0.615)	Data 0.001 (0.002)	Loss 1.6697 (1.6209)	Prec@1 58.000 (56.355)	Prec@5 81.000 (84.678)
Epoch: [86][3820/9018]	Time 0.752 (0.615)	Data 0.001 (0.002)	Loss 1.6182 (1.6210)	Prec@1 58.500 (56.355)	Prec@5 86.500 (84.678)
Epoch: [86][3830/9018]	Time 0.620 (0.615)	Data 0.001 (0.002)	Loss 1.7098 (1.6211)	Prec@1 58.500 (56.351)	Prec@5 86.000 (84.674)
Epoch: [86][3840/9018]	Time 0.611 (0.615)	Data 0.001 (0.002)	Loss 1.6800 (1.6213)	Prec@1 52.000 (56.350)	Prec@5 81.500 (84.673)
Epoch: [86][3850/9018]	Time 0.603 (0.615)	Data 0.001 (0.002)	Loss 1.5176 (1.6212)	Prec@1 60.500 (56.351)	Prec@5 86.000 (84.675)
Epoch: [86][3860/9018]	Time 0.590 (0.615)	Data 0.001 (0.002)	Loss 1.7313 (1.6212)	Prec@1 54.000 (56.349)	Prec@5 80.500 (84.674)
Epoch: [86][3870/9018]	Time 0.601 (0.615)	Data 0.001 (0.002)	Loss 1.5996 (1.6212)	Prec@1 57.000 (56.349)	Prec@5 83.500 (84.673)
Epoch: [86][3880/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.7271 (1.6211)	Prec@1 49.000 (56.347)	Prec@5 84.500 (84.674)
Epoch: [86][3890/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.5534 (1.6213)	Prec@1 55.000 (56.342)	Prec@5 86.500 (84.670)
Epoch: [86][3900/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.5712 (1.6214)	Prec@1 53.000 (56.337)	Prec@5 85.500 (84.669)
Epoch: [86][3910/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.5581 (1.6215)	Prec@1 59.500 (56.333)	Prec@5 87.000 (84.667)
Epoch: [86][3920/9018]	Time 0.597 (0.615)	Data 0.001 (0.001)	Loss 1.7261 (1.6216)	Prec@1 56.000 (56.334)	Prec@5 81.000 (84.666)
Epoch: [86][3930/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7612 (1.6217)	Prec@1 56.000 (56.331)	Prec@5 83.000 (84.666)
Epoch: [86][3940/9018]	Time 0.640 (0.615)	Data 0.001 (0.001)	Loss 1.6111 (1.6218)	Prec@1 57.000 (56.327)	Prec@5 86.000 (84.664)
Epoch: [86][3950/9018]	Time 0.619 (0.615)	Data 0.001 (0.001)	Loss 1.7505 (1.6219)	Prec@1 52.500 (56.324)	Prec@5 85.500 (84.662)
Epoch: [86][3960/9018]	Time 0.590 (0.615)	Data 0.001 (0.001)	Loss 1.5989 (1.6221)	Prec@1 60.500 (56.324)	Prec@5 82.000 (84.657)
Epoch: [86][3970/9018]	Time 0.606 (0.615)	Data 0.003 (0.001)	Loss 1.5403 (1.6221)	Prec@1 55.500 (56.323)	Prec@5 86.000 (84.656)
Epoch: [86][3980/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.6157 (1.6221)	Prec@1 56.500 (56.323)	Prec@5 86.000 (84.657)
Epoch: [86][3990/9018]	Time 0.628 (0.615)	Data 0.001 (0.001)	Loss 1.6666 (1.6223)	Prec@1 58.500 (56.321)	Prec@5 79.500 (84.652)
Epoch: [86][4000/9018]	Time 0.596 (0.615)	Data 0.001 (0.001)	Loss 1.6606 (1.6225)	Prec@1 55.500 (56.321)	Prec@5 86.500 (84.648)
Epoch: [86][4010/9018]	Time 0.595 (0.615)	Data 0.001 (0.001)	Loss 1.4696 (1.6224)	Prec@1 58.500 (56.321)	Prec@5 87.500 (84.649)
Epoch: [86][4020/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.7042 (1.6226)	Prec@1 51.000 (56.315)	Prec@5 83.000 (84.646)
Epoch: [86][4030/9018]	Time 0.624 (0.615)	Data 0.001 (0.001)	Loss 1.4734 (1.6227)	Prec@1 58.000 (56.311)	Prec@5 85.500 (84.645)
Epoch: [86][4040/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6024 (1.6227)	Prec@1 56.000 (56.310)	Prec@5 84.500 (84.646)
Epoch: [86][4050/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.4887 (1.6227)	Prec@1 60.000 (56.309)	Prec@5 87.000 (84.648)
Epoch: [86][4060/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.6384 (1.6228)	Prec@1 59.000 (56.308)	Prec@5 85.500 (84.648)
Epoch: [86][4070/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5896 (1.6228)	Prec@1 53.000 (56.308)	Prec@5 84.000 (84.647)
Epoch: [86][4080/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.7216 (1.6229)	Prec@1 55.500 (56.304)	Prec@5 84.000 (84.643)
Epoch: [86][4090/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.7785 (1.6230)	Prec@1 50.000 (56.304)	Prec@5 83.500 (84.640)
Epoch: [86][4100/9018]	Time 0.709 (0.615)	Data 0.001 (0.001)	Loss 1.4188 (1.6231)	Prec@1 62.500 (56.304)	Prec@5 89.000 (84.638)
Epoch: [86][4110/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5901 (1.6230)	Prec@1 58.500 (56.308)	Prec@5 86.000 (84.641)
Epoch: [86][4120/9018]	Time 0.594 (0.615)	Data 0.001 (0.001)	Loss 1.4384 (1.6229)	Prec@1 59.000 (56.309)	Prec@5 88.000 (84.645)
Epoch: [86][4130/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.7342 (1.6229)	Prec@1 53.500 (56.306)	Prec@5 83.500 (84.643)
Epoch: [86][4140/9018]	Time 0.615 (0.615)	Data 0.001 (0.001)	Loss 1.5658 (1.6229)	Prec@1 58.500 (56.308)	Prec@5 84.000 (84.643)
Epoch: [86][4150/9018]	Time 0.724 (0.615)	Data 0.001 (0.001)	Loss 1.6608 (1.6230)	Prec@1 57.000 (56.306)	Prec@5 82.000 (84.642)
Epoch: [86][4160/9018]	Time 0.632 (0.615)	Data 0.001 (0.001)	Loss 1.6975 (1.6228)	Prec@1 58.000 (56.313)	Prec@5 81.500 (84.645)
Epoch: [86][4170/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.5438 (1.6227)	Prec@1 58.500 (56.312)	Prec@5 87.000 (84.648)
Epoch: [86][4180/9018]	Time 0.631 (0.615)	Data 0.001 (0.001)	Loss 1.7752 (1.6227)	Prec@1 51.500 (56.312)	Prec@5 79.000 (84.646)
Epoch: [86][4190/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.7422 (1.6229)	Prec@1 55.500 (56.309)	Prec@5 82.500 (84.644)
Epoch: [86][4200/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.6167 (1.6230)	Prec@1 54.000 (56.306)	Prec@5 85.500 (84.642)
Epoch: [86][4210/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.5781 (1.6230)	Prec@1 55.500 (56.302)	Prec@5 85.500 (84.644)
Epoch: [86][4220/9018]	Time 0.585 (0.615)	Data 0.001 (0.001)	Loss 1.5046 (1.6231)	Prec@1 58.500 (56.300)	Prec@5 86.000 (84.642)
Epoch: [86][4230/9018]	Time 0.599 (0.615)	Data 0.001 (0.001)	Loss 1.7184 (1.6232)	Prec@1 55.000 (56.301)	Prec@5 83.000 (84.639)
Epoch: [86][4240/9018]	Time 0.598 (0.615)	Data 0.001 (0.001)	Loss 1.5917 (1.6231)	Prec@1 54.000 (56.300)	Prec@5 85.000 (84.640)
Epoch: [86][4250/9018]	Time 0.600 (0.615)	Data 0.001 (0.001)	Loss 1.6339 (1.6229)	Prec@1 59.500 (56.308)	Prec@5 82.000 (84.643)
Epoch: [86][4260/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.5436 (1.6230)	Prec@1 59.500 (56.304)	Prec@5 84.500 (84.640)
Epoch: [86][4270/9018]	Time 0.593 (0.615)	Data 0.001 (0.001)	Loss 1.5552 (1.6230)	Prec@1 56.500 (56.303)	Prec@5 85.000 (84.640)
Epoch: [86][4280/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.5949 (1.6230)	Prec@1 58.000 (56.300)	Prec@5 85.500 (84.639)
Epoch: [86][4290/9018]	Time 0.629 (0.615)	Data 0.001 (0.001)	Loss 1.4569 (1.6231)	Prec@1 61.500 (56.302)	Prec@5 86.500 (84.637)
Epoch: [86][4300/9018]	Time 0.592 (0.615)	Data 0.001 (0.001)	Loss 1.7563 (1.6231)	Prec@1 52.000 (56.297)	Prec@5 80.500 (84.635)
Epoch: [86][4310/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.6050 (1.6233)	Prec@1 55.000 (56.292)	Prec@5 85.500 (84.635)
Epoch: [86][4320/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.7928 (1.6233)	Prec@1 50.000 (56.290)	Prec@5 82.000 (84.634)
Epoch: [86][4330/9018]	Time 0.618 (0.615)	Data 0.001 (0.001)	Loss 1.7613 (1.6232)	Prec@1 53.000 (56.291)	Prec@5 82.500 (84.636)
Epoch: [86][4340/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.8595 (1.6234)	Prec@1 53.500 (56.285)	Prec@5 79.500 (84.634)
Epoch: [86][4350/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.2861 (1.6234)	Prec@1 63.000 (56.283)	Prec@5 92.000 (84.634)
Epoch: [86][4360/9018]	Time 0.614 (0.615)	Data 0.001 (0.001)	Loss 1.4290 (1.6233)	Prec@1 62.500 (56.286)	Prec@5 87.000 (84.635)
Epoch: [86][4370/9018]	Time 0.606 (0.615)	Data 0.001 (0.001)	Loss 1.7585 (1.6233)	Prec@1 51.000 (56.284)	Prec@5 82.500 (84.634)
Epoch: [86][4380/9018]	Time 0.623 (0.615)	Data 0.001 (0.001)	Loss 1.5053 (1.6235)	Prec@1 57.000 (56.282)	Prec@5 86.000 (84.630)
Epoch: [86][4390/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.6692 (1.6236)	Prec@1 55.000 (56.279)	Prec@5 85.000 (84.628)
Epoch: [86][4400/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.6361 (1.6235)	Prec@1 54.000 (56.281)	Prec@5 81.000 (84.631)
Epoch: [86][4410/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.7973 (1.6235)	Prec@1 49.500 (56.281)	Prec@5 82.500 (84.633)
Epoch: [86][4420/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.6070 (1.6235)	Prec@1 56.500 (56.282)	Prec@5 86.500 (84.632)
Epoch: [86][4430/9018]	Time 0.736 (0.615)	Data 0.001 (0.001)	Loss 1.7868 (1.6237)	Prec@1 53.500 (56.278)	Prec@5 85.000 (84.629)
Epoch: [86][4440/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.7081 (1.6239)	Prec@1 52.500 (56.272)	Prec@5 82.000 (84.624)
Epoch: [86][4450/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.6158 (1.6240)	Prec@1 57.500 (56.269)	Prec@5 84.500 (84.623)
Epoch: [86][4460/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.6594 (1.6240)	Prec@1 57.500 (56.269)	Prec@5 82.000 (84.622)
Epoch: [86][4470/9018]	Time 0.601 (0.615)	Data 0.001 (0.001)	Loss 1.5000 (1.6241)	Prec@1 55.500 (56.267)	Prec@5 88.500 (84.621)
Epoch: [86][4480/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 1.5838 (1.6242)	Prec@1 57.500 (56.265)	Prec@5 85.500 (84.618)
Epoch: [86][4490/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.7067 (1.6242)	Prec@1 56.000 (56.264)	Prec@5 83.000 (84.618)
Epoch: [86][4500/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.5140 (1.6243)	Prec@1 63.500 (56.263)	Prec@5 86.000 (84.618)
Epoch: [86][4510/9018]	Time 0.611 (0.615)	Data 0.001 (0.001)	Loss 1.8775 (1.6245)	Prec@1 49.500 (56.261)	Prec@5 79.000 (84.614)
Epoch: [86][4520/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.6873 (1.6247)	Prec@1 52.000 (56.259)	Prec@5 83.500 (84.611)
Epoch: [86][4530/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.4953 (1.6245)	Prec@1 57.000 (56.264)	Prec@5 87.000 (84.615)
Epoch: [86][4540/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.5344 (1.6245)	Prec@1 58.500 (56.266)	Prec@5 87.000 (84.616)
Epoch: [86][4550/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.7047 (1.6244)	Prec@1 53.000 (56.269)	Prec@5 84.000 (84.619)
Epoch: [86][4560/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.7679 (1.6245)	Prec@1 53.500 (56.267)	Prec@5 81.500 (84.616)
Epoch: [86][4570/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7282 (1.6244)	Prec@1 54.000 (56.267)	Prec@5 81.000 (84.615)
Epoch: [86][4580/9018]	Time 0.635 (0.615)	Data 0.001 (0.001)	Loss 1.5586 (1.6243)	Prec@1 61.000 (56.272)	Prec@5 86.000 (84.617)
Epoch: [86][4590/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.6827 (1.6243)	Prec@1 55.500 (56.273)	Prec@5 87.500 (84.619)
Epoch: [86][4600/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.7223 (1.6244)	Prec@1 52.000 (56.269)	Prec@5 85.500 (84.617)
Epoch: [86][4610/9018]	Time 0.609 (0.615)	Data 0.001 (0.001)	Loss 1.4685 (1.6244)	Prec@1 58.500 (56.271)	Prec@5 90.000 (84.617)
Epoch: [86][4620/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.5891 (1.6246)	Prec@1 59.000 (56.269)	Prec@5 87.000 (84.614)
Epoch: [86][4630/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.6247 (1.6247)	Prec@1 56.500 (56.268)	Prec@5 84.000 (84.612)
Epoch: [86][4640/9018]	Time 0.616 (0.615)	Data 0.001 (0.001)	Loss 1.6713 (1.6247)	Prec@1 55.000 (56.269)	Prec@5 82.000 (84.610)
Epoch: [86][4650/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.9110 (1.6246)	Prec@1 52.000 (56.270)	Prec@5 79.500 (84.611)
Epoch: [86][4660/9018]	Time 0.605 (0.615)	Data 0.001 (0.001)	Loss 1.7477 (1.6247)	Prec@1 54.500 (56.273)	Prec@5 81.500 (84.610)
Epoch: [86][4670/9018]	Time 0.602 (0.615)	Data 0.001 (0.001)	Loss 1.7786 (1.6247)	Prec@1 56.000 (56.271)	Prec@5 81.500 (84.609)
Epoch: [86][4680/9018]	Time 0.604 (0.615)	Data 0.001 (0.001)	Loss 1.3588 (1.6246)	Prec@1 64.500 (56.274)	Prec@5 88.500 (84.609)
Epoch: [86][4690/9018]	Time 0.603 (0.615)	Data 0.001 (0.001)	Loss 1.6920 (1.6247)	Prec@1 55.000 (56.271)	Prec@5 83.500 (84.608)
Epoch: [86][4700/9018]	Time 0.608 (0.615)	Data 0.001 (0.001)	Loss 1.5711 (1.6246)	Prec@1 57.000 (56.273)	Prec@5 87.500 (84.610)
Epoch: [86][4710/9018]	Time 0.610 (0.615)	Data 0.001 (0.001)	Loss 1.4722 (1.6245)	Prec@1 58.000 (56.275)	Prec@5 87.500 (84.612)
Epoch: [86][4720/9018]	Time 0.620 (0.615)	Data 0.001 (0.001)	Loss 1.5653 (1.6245)	Prec@1 56.500 (56.275)	Prec@5 85.500 (84.611)
Epoch: [86][4730/9018]	Time 0.625 (0.615)	Data 0.001 (0.001)	Loss 1.8009 (1.6246)	Prec@1 55.000 (56.274)	Prec@5 84.000 (84.610)
Epoch: [86][4740/9018]	Time 0.621 (0.615)	Data 0.001 (0.001)	Loss 1.4862 (1.6246)	Prec@1 56.500 (56.273)	Prec@5 84.500 (84.609)
Epoch: [86][4750/9018]	Time 0.613 (0.615)	Data 0.001 (0.001)	Loss 1.9132 (1.6246)	Prec@1 52.500 (56.275)	Prec@5 79.500 (84.610)
Epoch: [86][4760/9018]	Time 0.731 (0.615)	Data 0.001 (0.001)	Loss 1.9173 (1.6247)	Prec@1 51.500 (56.274)	Prec@5 79.000 (84.608)
Epoch: [86][4770/9018]	Time 0.612 (0.615)	Data 0.001 (0.001)	Loss 1.7915 (1.6246)	Prec@1 53.000 (56.271)	Prec@5 83.000 (84.609)
Epoch: [86][4780/9018]	Time 0.621 (0.616)	Data 0.001 (0.001)	Loss 1.4952 (1.6246)	Prec@1 55.000 (56.270)	Prec@5 88.500 (84.611)
Epoch: [86][4790/9018]	Time 0.617 (0.615)	Data 0.001 (0.001)	Loss 1.7522 (1.6249)	Prec@1 53.000 (56.261)	Prec@5 79.500 (84.608)
Epoch: [86][4800/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.5446 (1.6249)	Prec@1 58.000 (56.262)	Prec@5 86.500 (84.607)
Epoch: [86][4810/9018]	Time 0.751 (0.616)	Data 0.001 (0.001)	Loss 1.6609 (1.6249)	Prec@1 53.000 (56.259)	Prec@5 83.500 (84.603)
Epoch: [86][4820/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.8884 (1.6249)	Prec@1 51.500 (56.260)	Prec@5 81.000 (84.603)
Epoch: [86][4830/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.7499 (1.6251)	Prec@1 55.000 (56.256)	Prec@5 81.000 (84.598)
Epoch: [86][4840/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.5481 (1.6252)	Prec@1 56.500 (56.255)	Prec@5 86.000 (84.596)
Epoch: [86][4850/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.6221 (1.6251)	Prec@1 54.000 (56.255)	Prec@5 84.000 (84.597)
Epoch: [86][4860/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.4921 (1.6251)	Prec@1 60.500 (56.256)	Prec@5 90.000 (84.597)
Epoch: [86][4870/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.5611 (1.6250)	Prec@1 58.000 (56.258)	Prec@5 86.500 (84.598)
Epoch: [86][4880/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.5335 (1.6250)	Prec@1 57.500 (56.258)	Prec@5 87.500 (84.600)
Epoch: [86][4890/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.3103 (1.6249)	Prec@1 67.500 (56.261)	Prec@5 90.000 (84.602)
Epoch: [86][4900/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.5940 (1.6248)	Prec@1 60.500 (56.264)	Prec@5 87.000 (84.605)
Epoch: [86][4910/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.6277 (1.6248)	Prec@1 58.000 (56.263)	Prec@5 82.000 (84.606)
Epoch: [86][4920/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.7205 (1.6249)	Prec@1 53.500 (56.261)	Prec@5 84.000 (84.604)
Epoch: [86][4930/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.7551 (1.6250)	Prec@1 55.000 (56.258)	Prec@5 85.000 (84.603)
Epoch: [86][4940/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.4041 (1.6250)	Prec@1 60.000 (56.257)	Prec@5 87.000 (84.603)
Epoch: [86][4950/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.6068 (1.6249)	Prec@1 59.000 (56.260)	Prec@5 81.500 (84.605)
Epoch: [86][4960/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 1.8436 (1.6248)	Prec@1 52.000 (56.260)	Prec@5 77.000 (84.606)
Epoch: [86][4970/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.6102 (1.6247)	Prec@1 55.000 (56.262)	Prec@5 85.500 (84.608)
Epoch: [86][4980/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.6863 (1.6246)	Prec@1 56.000 (56.264)	Prec@5 83.500 (84.610)
Epoch: [86][4990/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.6492 (1.6246)	Prec@1 54.000 (56.265)	Prec@5 85.500 (84.610)
Epoch: [86][5000/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.6376 (1.6245)	Prec@1 52.500 (56.267)	Prec@5 87.500 (84.608)
Epoch: [86][5010/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.4816 (1.6245)	Prec@1 57.500 (56.267)	Prec@5 86.000 (84.609)
Epoch: [86][5020/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.7544 (1.6246)	Prec@1 50.500 (56.267)	Prec@5 85.500 (84.609)
Epoch: [86][5030/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.7529 (1.6247)	Prec@1 54.000 (56.265)	Prec@5 79.000 (84.605)
Epoch: [86][5040/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.7294 (1.6248)	Prec@1 51.000 (56.261)	Prec@5 84.000 (84.603)
Epoch: [86][5050/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.5700 (1.6249)	Prec@1 61.000 (56.263)	Prec@5 86.500 (84.602)
Epoch: [86][5060/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.6364 (1.6249)	Prec@1 54.500 (56.265)	Prec@5 86.500 (84.603)
Epoch: [86][5070/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.3492 (1.6248)	Prec@1 63.500 (56.267)	Prec@5 89.000 (84.603)
Epoch: [86][5080/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.5332 (1.6247)	Prec@1 56.000 (56.269)	Prec@5 86.500 (84.606)
Epoch: [86][5090/9018]	Time 0.748 (0.616)	Data 0.001 (0.001)	Loss 1.6369 (1.6246)	Prec@1 55.000 (56.270)	Prec@5 82.000 (84.607)
Epoch: [86][5100/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.6174 (1.6245)	Prec@1 55.500 (56.270)	Prec@5 86.500 (84.608)
Epoch: [86][5110/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.4758 (1.6246)	Prec@1 57.500 (56.272)	Prec@5 88.500 (84.607)
Epoch: [86][5120/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.7454 (1.6245)	Prec@1 54.500 (56.273)	Prec@5 84.000 (84.609)
Epoch: [86][5130/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.6171 (1.6244)	Prec@1 51.500 (56.274)	Prec@5 85.500 (84.611)
Epoch: [86][5140/9018]	Time 0.745 (0.616)	Data 0.001 (0.001)	Loss 1.8028 (1.6245)	Prec@1 52.000 (56.276)	Prec@5 83.500 (84.611)
Epoch: [86][5150/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.6924 (1.6244)	Prec@1 57.500 (56.278)	Prec@5 83.500 (84.613)
Epoch: [86][5160/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.5179 (1.6244)	Prec@1 62.000 (56.277)	Prec@5 86.000 (84.611)
Epoch: [86][5170/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.5766 (1.6244)	Prec@1 59.000 (56.278)	Prec@5 84.000 (84.612)
Epoch: [86][5180/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.6191 (1.6245)	Prec@1 54.500 (56.274)	Prec@5 81.500 (84.611)
Epoch: [86][5190/9018]	Time 0.624 (0.616)	Data 0.001 (0.001)	Loss 1.6845 (1.6245)	Prec@1 55.500 (56.275)	Prec@5 85.500 (84.612)
Epoch: [86][5200/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.6432 (1.6245)	Prec@1 56.500 (56.273)	Prec@5 85.000 (84.613)
Epoch: [86][5210/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.4931 (1.6245)	Prec@1 60.000 (56.275)	Prec@5 85.500 (84.613)
Epoch: [86][5220/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.6618 (1.6246)	Prec@1 52.500 (56.274)	Prec@5 82.500 (84.612)
Epoch: [86][5230/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.6404 (1.6246)	Prec@1 54.000 (56.271)	Prec@5 84.500 (84.612)
Epoch: [86][5240/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.7600 (1.6246)	Prec@1 51.000 (56.272)	Prec@5 84.500 (84.613)
Epoch: [86][5250/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.8685 (1.6246)	Prec@1 49.500 (56.273)	Prec@5 81.500 (84.612)
Epoch: [86][5260/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.5942 (1.6247)	Prec@1 53.500 (56.274)	Prec@5 85.000 (84.609)
Epoch: [86][5270/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.5200 (1.6247)	Prec@1 56.000 (56.272)	Prec@5 89.500 (84.610)
Epoch: [86][5280/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.4565 (1.6246)	Prec@1 60.000 (56.276)	Prec@5 88.500 (84.612)
Epoch: [86][5290/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.7728 (1.6246)	Prec@1 47.500 (56.274)	Prec@5 84.000 (84.613)
Epoch: [86][5300/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.3023 (1.6246)	Prec@1 67.000 (56.276)	Prec@5 89.000 (84.614)
Epoch: [86][5310/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.4084 (1.6246)	Prec@1 59.500 (56.275)	Prec@5 88.500 (84.615)
Epoch: [86][5320/9018]	Time 0.599 (0.616)	Data 0.001 (0.001)	Loss 1.6827 (1.6246)	Prec@1 54.000 (56.274)	Prec@5 84.500 (84.615)
Epoch: [86][5330/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.4880 (1.6246)	Prec@1 55.000 (56.275)	Prec@5 88.500 (84.614)
Epoch: [86][5340/9018]	Time 0.611 (0.616)	Data 0.001 (0.001)	Loss 1.6604 (1.6246)	Prec@1 56.500 (56.277)	Prec@5 83.500 (84.617)
Epoch: [86][5350/9018]	Time 0.617 (0.616)	Data 0.001 (0.001)	Loss 1.7133 (1.6246)	Prec@1 50.500 (56.275)	Prec@5 85.500 (84.618)
Epoch: [86][5360/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.5699 (1.6244)	Prec@1 58.000 (56.278)	Prec@5 86.000 (84.621)
Epoch: [86][5370/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.7722 (1.6245)	Prec@1 51.000 (56.275)	Prec@5 83.500 (84.620)
Epoch: [86][5380/9018]	Time 0.609 (0.616)	Data 0.003 (0.001)	Loss 1.9283 (1.6245)	Prec@1 52.500 (56.276)	Prec@5 80.500 (84.622)
Epoch: [86][5390/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.7197 (1.6244)	Prec@1 59.000 (56.278)	Prec@5 79.500 (84.624)
Epoch: [86][5400/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.5058 (1.6246)	Prec@1 56.000 (56.276)	Prec@5 88.500 (84.622)
Epoch: [86][5410/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.6458 (1.6245)	Prec@1 58.000 (56.279)	Prec@5 84.000 (84.621)
Epoch: [86][5420/9018]	Time 0.740 (0.616)	Data 0.003 (0.001)	Loss 1.7652 (1.6246)	Prec@1 56.000 (56.277)	Prec@5 85.000 (84.620)
Epoch: [86][5430/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.5518 (1.6246)	Prec@1 58.000 (56.277)	Prec@5 85.500 (84.619)
Epoch: [86][5440/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.5460 (1.6246)	Prec@1 57.500 (56.276)	Prec@5 86.000 (84.619)
Epoch: [86][5450/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.6503 (1.6245)	Prec@1 57.500 (56.278)	Prec@5 83.500 (84.620)
Epoch: [86][5460/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.7030 (1.6246)	Prec@1 52.000 (56.277)	Prec@5 85.000 (84.621)
Epoch: [86][5470/9018]	Time 0.783 (0.616)	Data 0.001 (0.001)	Loss 1.4444 (1.6246)	Prec@1 61.500 (56.280)	Prec@5 85.500 (84.621)
Epoch: [86][5480/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.6686 (1.6246)	Prec@1 55.000 (56.277)	Prec@5 85.000 (84.620)
Epoch: [86][5490/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.6583 (1.6246)	Prec@1 54.500 (56.277)	Prec@5 82.500 (84.620)
Epoch: [86][5500/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.7345 (1.6248)	Prec@1 54.500 (56.273)	Prec@5 85.500 (84.620)
Epoch: [86][5510/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.5611 (1.6248)	Prec@1 60.000 (56.275)	Prec@5 86.500 (84.621)
Epoch: [86][5520/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.6540 (1.6250)	Prec@1 51.000 (56.271)	Prec@5 86.000 (84.617)
Epoch: [86][5530/9018]	Time 0.631 (0.616)	Data 0.001 (0.001)	Loss 1.5510 (1.6250)	Prec@1 61.000 (56.271)	Prec@5 86.000 (84.615)
Epoch: [86][5540/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.6683 (1.6252)	Prec@1 55.000 (56.268)	Prec@5 82.000 (84.612)
Epoch: [86][5550/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.5003 (1.6252)	Prec@1 59.000 (56.267)	Prec@5 88.000 (84.613)
Epoch: [86][5560/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.5450 (1.6252)	Prec@1 61.000 (56.264)	Prec@5 88.000 (84.612)
Epoch: [86][5570/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.5448 (1.6253)	Prec@1 60.000 (56.262)	Prec@5 86.000 (84.613)
Epoch: [86][5580/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.6983 (1.6254)	Prec@1 55.000 (56.260)	Prec@5 83.500 (84.612)
Epoch: [86][5590/9018]	Time 0.618 (0.616)	Data 0.001 (0.001)	Loss 1.5109 (1.6253)	Prec@1 57.000 (56.260)	Prec@5 86.500 (84.614)
Epoch: [86][5600/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.6681 (1.6253)	Prec@1 52.500 (56.259)	Prec@5 85.000 (84.613)
Epoch: [86][5610/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.4567 (1.6254)	Prec@1 62.500 (56.260)	Prec@5 86.000 (84.612)
Epoch: [86][5620/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.6547 (1.6254)	Prec@1 58.500 (56.261)	Prec@5 86.000 (84.612)
Epoch: [86][5630/9018]	Time 0.598 (0.616)	Data 0.001 (0.001)	Loss 1.6584 (1.6254)	Prec@1 57.000 (56.264)	Prec@5 85.500 (84.613)
Epoch: [86][5640/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.6463 (1.6254)	Prec@1 53.500 (56.263)	Prec@5 84.000 (84.613)
Epoch: [86][5650/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.5930 (1.6254)	Prec@1 61.500 (56.264)	Prec@5 85.000 (84.612)
Epoch: [86][5660/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.7412 (1.6254)	Prec@1 53.000 (56.262)	Prec@5 84.500 (84.612)
Epoch: [86][5670/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.6987 (1.6255)	Prec@1 55.500 (56.259)	Prec@5 82.000 (84.611)
Epoch: [86][5680/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.8077 (1.6257)	Prec@1 51.000 (56.255)	Prec@5 79.500 (84.608)
Epoch: [86][5690/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.5156 (1.6256)	Prec@1 58.500 (56.257)	Prec@5 86.000 (84.609)
Epoch: [86][5700/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.4165 (1.6256)	Prec@1 62.500 (56.260)	Prec@5 86.500 (84.610)
Epoch: [86][5710/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.7400 (1.6256)	Prec@1 51.500 (56.258)	Prec@5 84.000 (84.610)
Epoch: [86][5720/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.6035 (1.6256)	Prec@1 53.500 (56.257)	Prec@5 86.500 (84.611)
Epoch: [86][5730/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.7237 (1.6256)	Prec@1 51.000 (56.254)	Prec@5 84.500 (84.612)
Epoch: [86][5740/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.6036 (1.6257)	Prec@1 56.500 (56.251)	Prec@5 85.500 (84.612)
Epoch: [86][5750/9018]	Time 0.745 (0.616)	Data 0.001 (0.001)	Loss 1.6094 (1.6257)	Prec@1 56.000 (56.249)	Prec@5 85.000 (84.610)
Epoch: [86][5760/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.5828 (1.6258)	Prec@1 55.000 (56.245)	Prec@5 86.500 (84.610)
Epoch: [86][5770/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.5922 (1.6258)	Prec@1 62.500 (56.245)	Prec@5 87.500 (84.611)
Epoch: [86][5780/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.5344 (1.6257)	Prec@1 58.500 (56.246)	Prec@5 86.500 (84.614)
Epoch: [86][5790/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 1.6898 (1.6257)	Prec@1 55.000 (56.246)	Prec@5 84.000 (84.613)
Epoch: [86][5800/9018]	Time 0.781 (0.616)	Data 0.001 (0.001)	Loss 1.6604 (1.6258)	Prec@1 55.500 (56.244)	Prec@5 82.000 (84.613)
Epoch: [86][5810/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.8250 (1.6258)	Prec@1 52.000 (56.241)	Prec@5 82.000 (84.612)
Epoch: [86][5820/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.8197 (1.6259)	Prec@1 54.000 (56.241)	Prec@5 81.500 (84.611)
Epoch: [86][5830/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.5358 (1.6258)	Prec@1 61.000 (56.243)	Prec@5 84.000 (84.613)
Epoch: [86][5840/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.5012 (1.6259)	Prec@1 52.000 (56.239)	Prec@5 86.000 (84.611)
Epoch: [86][5850/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.6241 (1.6258)	Prec@1 58.000 (56.238)	Prec@5 85.000 (84.609)
Epoch: [86][5860/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.8267 (1.6260)	Prec@1 50.500 (56.234)	Prec@5 81.000 (84.607)
Epoch: [86][5870/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.5025 (1.6260)	Prec@1 57.000 (56.234)	Prec@5 86.000 (84.607)
Epoch: [86][5880/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.8215 (1.6260)	Prec@1 53.000 (56.233)	Prec@5 80.000 (84.606)
Epoch: [86][5890/9018]	Time 0.605 (0.616)	Data 0.001 (0.001)	Loss 1.5843 (1.6260)	Prec@1 55.500 (56.235)	Prec@5 84.500 (84.605)
Epoch: [86][5900/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.8323 (1.6261)	Prec@1 54.000 (56.235)	Prec@5 81.000 (84.604)
Epoch: [86][5910/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.7367 (1.6261)	Prec@1 51.500 (56.235)	Prec@5 83.000 (84.602)
Epoch: [86][5920/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.6000 (1.6262)	Prec@1 61.500 (56.234)	Prec@5 85.000 (84.600)
Epoch: [86][5930/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.6127 (1.6261)	Prec@1 57.000 (56.231)	Prec@5 84.500 (84.601)
Epoch: [86][5940/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.6905 (1.6262)	Prec@1 56.000 (56.229)	Prec@5 82.500 (84.598)
Epoch: [86][5950/9018]	Time 0.634 (0.616)	Data 0.001 (0.001)	Loss 1.7557 (1.6263)	Prec@1 51.500 (56.224)	Prec@5 85.000 (84.598)
Epoch: [86][5960/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.4329 (1.6263)	Prec@1 59.000 (56.222)	Prec@5 87.000 (84.598)
Epoch: [86][5970/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.6719 (1.6264)	Prec@1 59.500 (56.222)	Prec@5 83.000 (84.597)
Epoch: [86][5980/9018]	Time 0.608 (0.616)	Data 0.001 (0.001)	Loss 1.5081 (1.6264)	Prec@1 57.500 (56.221)	Prec@5 87.000 (84.598)
Epoch: [86][5990/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.5365 (1.6264)	Prec@1 56.000 (56.219)	Prec@5 86.500 (84.600)
Epoch: [86][6000/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.8440 (1.6264)	Prec@1 53.500 (56.218)	Prec@5 82.500 (84.600)
Epoch: [86][6010/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.7217 (1.6264)	Prec@1 52.500 (56.218)	Prec@5 81.500 (84.600)
Epoch: [86][6020/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.6828 (1.6264)	Prec@1 54.000 (56.218)	Prec@5 83.500 (84.600)
Epoch: [86][6030/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.5173 (1.6264)	Prec@1 59.000 (56.220)	Prec@5 86.500 (84.601)
Epoch: [86][6040/9018]	Time 0.614 (0.616)	Data 0.001 (0.001)	Loss 1.4944 (1.6264)	Prec@1 58.000 (56.219)	Prec@5 87.000 (84.600)
Epoch: [86][6050/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.6755 (1.6264)	Prec@1 53.000 (56.219)	Prec@5 81.500 (84.600)
Epoch: [86][6060/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.7120 (1.6264)	Prec@1 55.000 (56.218)	Prec@5 81.000 (84.601)
Epoch: [86][6070/9018]	Time 0.626 (0.616)	Data 0.001 (0.001)	Loss 1.5685 (1.6264)	Prec@1 58.500 (56.217)	Prec@5 86.000 (84.600)
Epoch: [86][6080/9018]	Time 0.719 (0.616)	Data 0.001 (0.001)	Loss 1.7079 (1.6264)	Prec@1 55.000 (56.216)	Prec@5 85.000 (84.602)
Epoch: [86][6090/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.7298 (1.6265)	Prec@1 51.000 (56.212)	Prec@5 84.500 (84.602)
Epoch: [86][6100/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.6347 (1.6265)	Prec@1 56.500 (56.213)	Prec@5 85.500 (84.601)
Epoch: [86][6110/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.8568 (1.6266)	Prec@1 51.500 (56.210)	Prec@5 79.500 (84.600)
Epoch: [86][6120/9018]	Time 0.603 (0.616)	Data 0.001 (0.001)	Loss 1.5112 (1.6267)	Prec@1 58.500 (56.208)	Prec@5 85.000 (84.598)
Epoch: [86][6130/9018]	Time 0.729 (0.616)	Data 0.001 (0.001)	Loss 1.5139 (1.6267)	Prec@1 60.500 (56.204)	Prec@5 87.500 (84.600)
Epoch: [86][6140/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.6488 (1.6267)	Prec@1 51.500 (56.202)	Prec@5 84.500 (84.600)
Epoch: [86][6150/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.6067 (1.6267)	Prec@1 56.500 (56.203)	Prec@5 87.000 (84.601)
Epoch: [86][6160/9018]	Time 0.609 (0.616)	Data 0.001 (0.001)	Loss 1.5923 (1.6266)	Prec@1 55.000 (56.204)	Prec@5 83.000 (84.601)
Epoch: [86][6170/9018]	Time 0.616 (0.616)	Data 0.001 (0.001)	Loss 1.5983 (1.6266)	Prec@1 54.000 (56.205)	Prec@5 85.000 (84.599)
Epoch: [86][6180/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.6423 (1.6267)	Prec@1 64.000 (56.204)	Prec@5 82.500 (84.599)
Epoch: [86][6190/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.7482 (1.6266)	Prec@1 51.500 (56.204)	Prec@5 83.000 (84.600)
Epoch: [86][6200/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.7215 (1.6267)	Prec@1 52.000 (56.203)	Prec@5 83.500 (84.599)
Epoch: [86][6210/9018]	Time 0.625 (0.616)	Data 0.001 (0.001)	Loss 1.8469 (1.6268)	Prec@1 52.500 (56.201)	Prec@5 82.000 (84.597)
Epoch: [86][6220/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.6596 (1.6269)	Prec@1 57.000 (56.200)	Prec@5 83.000 (84.595)
Epoch: [86][6230/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.4785 (1.6268)	Prec@1 60.500 (56.202)	Prec@5 87.000 (84.597)
Epoch: [86][6240/9018]	Time 0.613 (0.616)	Data 0.001 (0.001)	Loss 1.5239 (1.6269)	Prec@1 57.000 (56.203)	Prec@5 85.000 (84.597)
Epoch: [86][6250/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.4719 (1.6269)	Prec@1 61.500 (56.203)	Prec@5 85.000 (84.597)
Epoch: [86][6260/9018]	Time 0.601 (0.616)	Data 0.001 (0.001)	Loss 1.5113 (1.6268)	Prec@1 59.000 (56.206)	Prec@5 85.500 (84.598)
Epoch: [86][6270/9018]	Time 0.606 (0.616)	Data 0.001 (0.001)	Loss 1.3561 (1.6267)	Prec@1 58.000 (56.207)	Prec@5 90.000 (84.599)
Epoch: [86][6280/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.7087 (1.6268)	Prec@1 55.000 (56.206)	Prec@5 83.500 (84.599)
Epoch: [86][6290/9018]	Time 0.615 (0.616)	Data 0.001 (0.001)	Loss 1.5486 (1.6267)	Prec@1 57.000 (56.207)	Prec@5 84.000 (84.599)
Epoch: [86][6300/9018]	Time 0.607 (0.616)	Data 0.001 (0.001)	Loss 1.5096 (1.6267)	Prec@1 56.500 (56.208)	Prec@5 84.500 (84.598)
Epoch: [86][6310/9018]	Time 0.604 (0.616)	Data 0.001 (0.001)	Loss 1.5460 (1.6267)	Prec@1 61.000 (56.208)	Prec@5 86.500 (84.598)
Epoch: [86][6320/9018]	Time 0.612 (0.616)	Data 0.001 (0.001)	Loss 1.5644 (1.6268)	Prec@1 59.500 (56.207)	Prec@5 88.500 (84.595)
Epoch: [86][6330/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.5775 (1.6269)	Prec@1 60.000 (56.205)	Prec@5 84.000 (84.595)
Epoch: [86][6340/9018]	Time 0.610 (0.616)	Data 0.001 (0.001)	Loss 1.2829 (1.6269)	Prec@1 65.000 (56.209)	Prec@5 91.500 (84.596)
Epoch: [86][6350/9018]	Time 0.632 (0.616)	Data 0.001 (0.001)	Loss 1.7990 (1.6270)	Prec@1 55.500 (56.206)	Prec@5 84.500 (84.595)
Epoch: [86][6360/9018]	Time 0.627 (0.616)	Data 0.001 (0.001)	Loss 1.5811 (1.6269)	Prec@1 56.000 (56.208)	Prec@5 86.500 (84.596)
Epoch: [86][6370/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.5927 (1.6269)	Prec@1 60.000 (56.208)	Prec@5 83.500 (84.595)
Epoch: [86][6380/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.5790 (1.6270)	Prec@1 57.500 (56.205)	Prec@5 86.000 (84.593)
Epoch: [86][6390/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.7746 (1.6271)	Prec@1 56.500 (56.203)	Prec@5 85.000 (84.592)
Epoch: [86][6400/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5853 (1.6272)	Prec@1 57.000 (56.201)	Prec@5 83.500 (84.590)
Epoch: [86][6410/9018]	Time 0.782 (0.617)	Data 0.001 (0.001)	Loss 1.8218 (1.6272)	Prec@1 50.500 (56.199)	Prec@5 80.500 (84.590)
Epoch: [86][6420/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7420 (1.6273)	Prec@1 55.000 (56.197)	Prec@5 83.000 (84.589)
Epoch: [86][6430/9018]	Time 0.634 (0.617)	Data 0.001 (0.001)	Loss 1.6749 (1.6273)	Prec@1 55.500 (56.197)	Prec@5 82.000 (84.588)
Epoch: [86][6440/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.6131 (1.6274)	Prec@1 58.500 (56.193)	Prec@5 85.000 (84.586)
Epoch: [86][6450/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.7607 (1.6276)	Prec@1 50.500 (56.189)	Prec@5 85.500 (84.585)
Epoch: [86][6460/9018]	Time 0.758 (0.617)	Data 0.001 (0.001)	Loss 1.3416 (1.6275)	Prec@1 62.500 (56.190)	Prec@5 92.500 (84.587)
Epoch: [86][6470/9018]	Time 0.632 (0.617)	Data 0.001 (0.001)	Loss 1.5022 (1.6276)	Prec@1 57.500 (56.187)	Prec@5 87.500 (84.588)
Epoch: [86][6480/9018]	Time 0.626 (0.617)	Data 0.001 (0.001)	Loss 1.8379 (1.6275)	Prec@1 52.000 (56.188)	Prec@5 82.500 (84.587)
Epoch: [86][6490/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.5002 (1.6275)	Prec@1 62.500 (56.188)	Prec@5 86.500 (84.587)
Epoch: [86][6500/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.6546 (1.6275)	Prec@1 56.000 (56.188)	Prec@5 85.000 (84.588)
Epoch: [86][6510/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6382 (1.6275)	Prec@1 59.000 (56.189)	Prec@5 82.500 (84.588)
Epoch: [86][6520/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.6340 (1.6275)	Prec@1 54.000 (56.187)	Prec@5 86.500 (84.589)
Epoch: [86][6530/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.6761 (1.6276)	Prec@1 53.500 (56.183)	Prec@5 84.000 (84.588)
Epoch: [86][6540/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5336 (1.6276)	Prec@1 54.000 (56.182)	Prec@5 87.000 (84.587)
Epoch: [86][6550/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.6176 (1.6276)	Prec@1 56.500 (56.183)	Prec@5 82.000 (84.585)
Epoch: [86][6560/9018]	Time 0.622 (0.617)	Data 0.001 (0.001)	Loss 1.6317 (1.6278)	Prec@1 58.000 (56.181)	Prec@5 85.000 (84.583)
Epoch: [86][6570/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.6039 (1.6278)	Prec@1 58.000 (56.180)	Prec@5 85.500 (84.585)
Epoch: [86][6580/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.8503 (1.6278)	Prec@1 50.000 (56.180)	Prec@5 82.000 (84.584)
Epoch: [86][6590/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.7650 (1.6278)	Prec@1 54.000 (56.181)	Prec@5 79.500 (84.586)
Epoch: [86][6600/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.3688 (1.6278)	Prec@1 62.000 (56.180)	Prec@5 90.000 (84.587)
Epoch: [86][6610/9018]	Time 0.631 (0.617)	Data 0.001 (0.001)	Loss 1.5562 (1.6279)	Prec@1 61.000 (56.177)	Prec@5 85.000 (84.586)
Epoch: [86][6620/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.6830 (1.6279)	Prec@1 55.500 (56.175)	Prec@5 87.000 (84.586)
Epoch: [86][6630/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.9118 (1.6279)	Prec@1 53.000 (56.174)	Prec@5 80.000 (84.586)
Epoch: [86][6640/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.7403 (1.6279)	Prec@1 52.500 (56.173)	Prec@5 84.000 (84.585)
Epoch: [86][6650/9018]	Time 0.626 (0.617)	Data 0.001 (0.001)	Loss 1.8202 (1.6280)	Prec@1 50.000 (56.170)	Prec@5 80.000 (84.583)
Epoch: [86][6660/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.7706 (1.6280)	Prec@1 50.500 (56.169)	Prec@5 81.500 (84.582)
Epoch: [86][6670/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.8674 (1.6281)	Prec@1 51.500 (56.167)	Prec@5 80.000 (84.582)
Epoch: [86][6680/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.5920 (1.6281)	Prec@1 53.500 (56.165)	Prec@5 86.500 (84.580)
Epoch: [86][6690/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.9248 (1.6282)	Prec@1 49.000 (56.163)	Prec@5 81.000 (84.580)
Epoch: [86][6700/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.5080 (1.6282)	Prec@1 60.500 (56.164)	Prec@5 86.000 (84.580)
Epoch: [86][6710/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.7449 (1.6281)	Prec@1 56.000 (56.164)	Prec@5 84.000 (84.581)
Epoch: [86][6720/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.6693 (1.6281)	Prec@1 54.000 (56.165)	Prec@5 84.500 (84.583)
Epoch: [86][6730/9018]	Time 0.624 (0.617)	Data 0.001 (0.001)	Loss 1.7388 (1.6282)	Prec@1 54.000 (56.164)	Prec@5 80.500 (84.581)
Epoch: [86][6740/9018]	Time 0.780 (0.617)	Data 0.001 (0.001)	Loss 1.7103 (1.6282)	Prec@1 52.000 (56.163)	Prec@5 83.000 (84.580)
Epoch: [86][6750/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.4477 (1.6281)	Prec@1 60.000 (56.165)	Prec@5 88.000 (84.581)
Epoch: [86][6760/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.9114 (1.6283)	Prec@1 52.500 (56.163)	Prec@5 75.500 (84.579)
Epoch: [86][6770/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6486 (1.6283)	Prec@1 56.500 (56.163)	Prec@5 83.000 (84.579)
Epoch: [86][6780/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.6825 (1.6283)	Prec@1 51.000 (56.161)	Prec@5 84.500 (84.578)
Epoch: [86][6790/9018]	Time 0.735 (0.617)	Data 0.001 (0.001)	Loss 1.6633 (1.6284)	Prec@1 52.500 (56.160)	Prec@5 85.500 (84.578)
Epoch: [86][6800/9018]	Time 0.620 (0.617)	Data 0.001 (0.001)	Loss 1.8910 (1.6284)	Prec@1 50.500 (56.159)	Prec@5 80.000 (84.577)
Epoch: [86][6810/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.6290 (1.6284)	Prec@1 54.000 (56.157)	Prec@5 85.000 (84.576)
Epoch: [86][6820/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.7390 (1.6284)	Prec@1 52.000 (56.157)	Prec@5 85.500 (84.576)
Epoch: [86][6830/9018]	Time 0.631 (0.617)	Data 0.001 (0.001)	Loss 1.8143 (1.6284)	Prec@1 54.000 (56.157)	Prec@5 81.500 (84.574)
Epoch: [86][6840/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.5171 (1.6284)	Prec@1 56.000 (56.156)	Prec@5 87.000 (84.574)
Epoch: [86][6850/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.8056 (1.6285)	Prec@1 52.500 (56.156)	Prec@5 83.500 (84.572)
Epoch: [86][6860/9018]	Time 0.625 (0.617)	Data 0.001 (0.001)	Loss 1.8139 (1.6285)	Prec@1 52.500 (56.157)	Prec@5 80.000 (84.570)
Epoch: [86][6870/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.7873 (1.6286)	Prec@1 50.500 (56.155)	Prec@5 82.500 (84.570)
Epoch: [86][6880/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.7762 (1.6286)	Prec@1 49.500 (56.152)	Prec@5 81.500 (84.571)
Epoch: [86][6890/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.5111 (1.6287)	Prec@1 60.500 (56.152)	Prec@5 87.000 (84.569)
Epoch: [86][6900/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.7102 (1.6287)	Prec@1 52.500 (56.151)	Prec@5 81.000 (84.570)
Epoch: [86][6910/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.8605 (1.6287)	Prec@1 53.000 (56.150)	Prec@5 82.500 (84.570)
Epoch: [86][6920/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.6260 (1.6286)	Prec@1 55.500 (56.153)	Prec@5 84.500 (84.570)
Epoch: [86][6930/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.6559 (1.6288)	Prec@1 53.000 (56.148)	Prec@5 85.000 (84.568)
Epoch: [86][6940/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.7492 (1.6288)	Prec@1 54.000 (56.149)	Prec@5 80.500 (84.568)
Epoch: [86][6950/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.6187 (1.6289)	Prec@1 56.000 (56.146)	Prec@5 85.500 (84.567)
Epoch: [86][6960/9018]	Time 0.624 (0.617)	Data 0.001 (0.001)	Loss 1.6314 (1.6288)	Prec@1 51.500 (56.145)	Prec@5 82.500 (84.568)
Epoch: [86][6970/9018]	Time 0.620 (0.617)	Data 0.002 (0.001)	Loss 1.5011 (1.6288)	Prec@1 57.000 (56.145)	Prec@5 86.000 (84.568)
Epoch: [86][6980/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.6585 (1.6290)	Prec@1 57.500 (56.143)	Prec@5 86.000 (84.566)
Epoch: [86][6990/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.7598 (1.6290)	Prec@1 53.000 (56.144)	Prec@5 83.500 (84.564)
Epoch: [86][7000/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.6745 (1.6290)	Prec@1 58.000 (56.144)	Prec@5 83.500 (84.565)
Epoch: [86][7010/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6674 (1.6289)	Prec@1 58.000 (56.145)	Prec@5 84.000 (84.567)
Epoch: [86][7020/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.5275 (1.6289)	Prec@1 57.500 (56.145)	Prec@5 84.000 (84.568)
Epoch: [86][7030/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.5661 (1.6289)	Prec@1 59.500 (56.144)	Prec@5 85.000 (84.568)
Epoch: [86][7040/9018]	Time 0.621 (0.617)	Data 0.001 (0.001)	Loss 1.6850 (1.6288)	Prec@1 55.500 (56.146)	Prec@5 85.500 (84.569)
Epoch: [86][7050/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.5217 (1.6288)	Prec@1 57.000 (56.149)	Prec@5 86.000 (84.570)
Epoch: [86][7060/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.5372 (1.6289)	Prec@1 59.000 (56.147)	Prec@5 88.500 (84.568)
Epoch: [86][7070/9018]	Time 0.749 (0.617)	Data 0.001 (0.001)	Loss 1.6337 (1.6288)	Prec@1 52.500 (56.150)	Prec@5 86.000 (84.571)
Epoch: [86][7080/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.6225 (1.6288)	Prec@1 53.500 (56.148)	Prec@5 85.000 (84.571)
Epoch: [86][7090/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6792 (1.6289)	Prec@1 56.000 (56.147)	Prec@5 83.500 (84.568)
Epoch: [86][7100/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.7035 (1.6289)	Prec@1 52.500 (56.148)	Prec@5 85.000 (84.568)
Epoch: [86][7110/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.6795 (1.6289)	Prec@1 60.500 (56.146)	Prec@5 82.000 (84.567)
Epoch: [86][7120/9018]	Time 0.742 (0.617)	Data 0.001 (0.001)	Loss 1.5963 (1.6289)	Prec@1 59.000 (56.147)	Prec@5 82.000 (84.566)
Epoch: [86][7130/9018]	Time 0.631 (0.617)	Data 0.001 (0.001)	Loss 1.8191 (1.6289)	Prec@1 50.000 (56.147)	Prec@5 83.000 (84.566)
Epoch: [86][7140/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.5558 (1.6289)	Prec@1 54.500 (56.146)	Prec@5 88.500 (84.567)
Epoch: [86][7150/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.5590 (1.6289)	Prec@1 55.500 (56.148)	Prec@5 86.500 (84.567)
Epoch: [86][7160/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.6131 (1.6290)	Prec@1 55.500 (56.148)	Prec@5 86.500 (84.567)
Epoch: [86][7170/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.5570 (1.6290)	Prec@1 60.000 (56.147)	Prec@5 87.500 (84.567)
Epoch: [86][7180/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5545 (1.6290)	Prec@1 63.500 (56.149)	Prec@5 85.500 (84.566)
Epoch: [86][7190/9018]	Time 0.623 (0.617)	Data 0.001 (0.001)	Loss 1.6705 (1.6291)	Prec@1 52.500 (56.145)	Prec@5 82.500 (84.564)
Epoch: [86][7200/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5529 (1.6292)	Prec@1 58.000 (56.142)	Prec@5 86.500 (84.562)
Epoch: [86][7210/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.7571 (1.6293)	Prec@1 50.500 (56.141)	Prec@5 85.500 (84.562)
Epoch: [86][7220/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.5286 (1.6293)	Prec@1 61.500 (56.142)	Prec@5 83.500 (84.562)
Epoch: [86][7230/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.6459 (1.6293)	Prec@1 54.000 (56.142)	Prec@5 83.000 (84.563)
Epoch: [86][7240/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.5975 (1.6293)	Prec@1 57.500 (56.141)	Prec@5 85.500 (84.562)
Epoch: [86][7250/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.7106 (1.6293)	Prec@1 52.000 (56.140)	Prec@5 84.500 (84.561)
Epoch: [86][7260/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.5688 (1.6293)	Prec@1 59.000 (56.140)	Prec@5 85.000 (84.560)
Epoch: [86][7270/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.7130 (1.6293)	Prec@1 58.500 (56.141)	Prec@5 83.000 (84.560)
Epoch: [86][7280/9018]	Time 0.623 (0.617)	Data 0.001 (0.001)	Loss 1.5989 (1.6294)	Prec@1 58.000 (56.138)	Prec@5 86.500 (84.558)
Epoch: [86][7290/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.7403 (1.6295)	Prec@1 56.500 (56.139)	Prec@5 79.500 (84.558)
Epoch: [86][7300/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.7782 (1.6295)	Prec@1 58.000 (56.139)	Prec@5 81.500 (84.558)
Epoch: [86][7310/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.4553 (1.6294)	Prec@1 58.500 (56.138)	Prec@5 89.500 (84.559)
Epoch: [86][7320/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.7406 (1.6295)	Prec@1 53.000 (56.138)	Prec@5 83.500 (84.559)
Epoch: [86][7330/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6011 (1.6296)	Prec@1 55.000 (56.136)	Prec@5 86.000 (84.556)
Epoch: [86][7340/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6836 (1.6296)	Prec@1 56.000 (56.135)	Prec@5 83.000 (84.555)
Epoch: [86][7350/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.4087 (1.6297)	Prec@1 60.500 (56.133)	Prec@5 89.000 (84.553)
Epoch: [86][7360/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.5824 (1.6298)	Prec@1 57.500 (56.131)	Prec@5 85.000 (84.552)
Epoch: [86][7370/9018]	Time 0.626 (0.617)	Data 0.001 (0.001)	Loss 1.8297 (1.6298)	Prec@1 51.500 (56.132)	Prec@5 82.000 (84.553)
Epoch: [86][7380/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.4895 (1.6297)	Prec@1 58.500 (56.134)	Prec@5 88.000 (84.554)
Epoch: [86][7390/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.7063 (1.6297)	Prec@1 54.000 (56.134)	Prec@5 81.500 (84.554)
Epoch: [86][7400/9018]	Time 0.758 (0.617)	Data 0.001 (0.001)	Loss 1.5167 (1.6298)	Prec@1 60.000 (56.131)	Prec@5 85.500 (84.554)
Epoch: [86][7410/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.8501 (1.6298)	Prec@1 53.000 (56.130)	Prec@5 76.500 (84.553)
Epoch: [86][7420/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.5126 (1.6297)	Prec@1 59.500 (56.132)	Prec@5 85.500 (84.552)
Epoch: [86][7430/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.7653 (1.6297)	Prec@1 55.000 (56.134)	Prec@5 80.500 (84.553)
Epoch: [86][7440/9018]	Time 0.640 (0.617)	Data 0.001 (0.001)	Loss 1.5220 (1.6297)	Prec@1 59.000 (56.135)	Prec@5 86.500 (84.554)
Epoch: [86][7450/9018]	Time 0.748 (0.617)	Data 0.002 (0.001)	Loss 1.4054 (1.6296)	Prec@1 62.000 (56.136)	Prec@5 89.500 (84.555)
Epoch: [86][7460/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7046 (1.6297)	Prec@1 52.500 (56.136)	Prec@5 83.500 (84.554)
Epoch: [86][7470/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.6629 (1.6297)	Prec@1 59.500 (56.135)	Prec@5 85.500 (84.553)
Epoch: [86][7480/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.4595 (1.6296)	Prec@1 64.500 (56.139)	Prec@5 85.000 (84.554)
Epoch: [86][7490/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.6224 (1.6297)	Prec@1 55.000 (56.137)	Prec@5 85.000 (84.552)
Epoch: [86][7500/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 2.0777 (1.6298)	Prec@1 43.500 (56.136)	Prec@5 76.000 (84.550)
Epoch: [86][7510/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.6166 (1.6298)	Prec@1 56.500 (56.136)	Prec@5 84.000 (84.550)
Epoch: [86][7520/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.5912 (1.6297)	Prec@1 60.500 (56.137)	Prec@5 87.500 (84.550)
Epoch: [86][7530/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.6638 (1.6297)	Prec@1 54.500 (56.137)	Prec@5 84.500 (84.550)
Epoch: [86][7540/9018]	Time 0.622 (0.617)	Data 0.001 (0.001)	Loss 1.6015 (1.6298)	Prec@1 61.500 (56.135)	Prec@5 86.500 (84.551)
Epoch: [86][7550/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.6798 (1.6298)	Prec@1 56.000 (56.134)	Prec@5 86.000 (84.551)
Epoch: [86][7560/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.4697 (1.6298)	Prec@1 59.500 (56.135)	Prec@5 87.000 (84.549)
Epoch: [86][7570/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.6600 (1.6298)	Prec@1 57.500 (56.134)	Prec@5 84.000 (84.550)
Epoch: [86][7580/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.6351 (1.6299)	Prec@1 57.500 (56.133)	Prec@5 83.000 (84.549)
Epoch: [86][7590/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.7195 (1.6301)	Prec@1 49.500 (56.131)	Prec@5 84.500 (84.548)
Epoch: [86][7600/9018]	Time 0.632 (0.617)	Data 0.001 (0.001)	Loss 1.6466 (1.6301)	Prec@1 55.000 (56.131)	Prec@5 83.000 (84.547)
Epoch: [86][7610/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.5640 (1.6300)	Prec@1 60.000 (56.133)	Prec@5 87.500 (84.549)
Epoch: [86][7620/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.5812 (1.6301)	Prec@1 59.000 (56.132)	Prec@5 83.500 (84.549)
Epoch: [86][7630/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.6751 (1.6302)	Prec@1 51.000 (56.129)	Prec@5 84.500 (84.548)
Epoch: [86][7640/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.5168 (1.6302)	Prec@1 59.500 (56.128)	Prec@5 87.500 (84.548)
Epoch: [86][7650/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5223 (1.6302)	Prec@1 58.000 (56.127)	Prec@5 87.000 (84.549)
Epoch: [86][7660/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.5219 (1.6301)	Prec@1 61.500 (56.128)	Prec@5 83.000 (84.550)
Epoch: [86][7670/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.3684 (1.6300)	Prec@1 63.000 (56.131)	Prec@5 89.500 (84.551)
Epoch: [86][7680/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.5297 (1.6300)	Prec@1 56.000 (56.130)	Prec@5 85.500 (84.551)
Epoch: [86][7690/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.7720 (1.6302)	Prec@1 52.500 (56.128)	Prec@5 82.500 (84.549)
Epoch: [86][7700/9018]	Time 0.648 (0.617)	Data 0.001 (0.001)	Loss 1.5424 (1.6303)	Prec@1 58.500 (56.126)	Prec@5 88.000 (84.547)
Epoch: [86][7710/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.4521 (1.6303)	Prec@1 62.000 (56.125)	Prec@5 88.000 (84.547)
Epoch: [86][7720/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.7571 (1.6303)	Prec@1 50.500 (56.124)	Prec@5 82.000 (84.545)
Epoch: [86][7730/9018]	Time 0.720 (0.617)	Data 0.001 (0.001)	Loss 1.5630 (1.6303)	Prec@1 61.000 (56.124)	Prec@5 84.500 (84.546)
Epoch: [86][7740/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.6049 (1.6302)	Prec@1 57.000 (56.125)	Prec@5 81.500 (84.546)
Epoch: [86][7750/9018]	Time 0.623 (0.617)	Data 0.001 (0.001)	Loss 1.7256 (1.6301)	Prec@1 55.000 (56.129)	Prec@5 83.000 (84.548)
Epoch: [86][7760/9018]	Time 0.622 (0.617)	Data 0.001 (0.001)	Loss 1.6250 (1.6301)	Prec@1 55.000 (56.129)	Prec@5 84.500 (84.549)
Epoch: [86][7770/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.7040 (1.6301)	Prec@1 59.500 (56.129)	Prec@5 84.500 (84.548)
Epoch: [86][7780/9018]	Time 0.708 (0.617)	Data 0.001 (0.001)	Loss 1.5466 (1.6301)	Prec@1 61.000 (56.131)	Prec@5 86.000 (84.547)
Epoch: [86][7790/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.4791 (1.6301)	Prec@1 60.500 (56.131)	Prec@5 88.500 (84.548)
Epoch: [86][7800/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.6649 (1.6302)	Prec@1 59.500 (56.130)	Prec@5 84.000 (84.547)
Epoch: [86][7810/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.3746 (1.6301)	Prec@1 63.000 (56.132)	Prec@5 89.000 (84.548)
Epoch: [86][7820/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.5804 (1.6301)	Prec@1 58.500 (56.133)	Prec@5 85.500 (84.547)
Epoch: [86][7830/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5946 (1.6302)	Prec@1 59.500 (56.132)	Prec@5 82.000 (84.545)
Epoch: [86][7840/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.8559 (1.6302)	Prec@1 49.500 (56.129)	Prec@5 82.000 (84.544)
Epoch: [86][7850/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.5823 (1.6303)	Prec@1 59.500 (56.127)	Prec@5 88.000 (84.542)
Epoch: [86][7860/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5956 (1.6304)	Prec@1 58.000 (56.125)	Prec@5 86.000 (84.542)
Epoch: [86][7870/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6981 (1.6304)	Prec@1 55.500 (56.124)	Prec@5 85.000 (84.542)
Epoch: [86][7880/9018]	Time 0.629 (0.617)	Data 0.001 (0.001)	Loss 1.8988 (1.6305)	Prec@1 54.000 (56.123)	Prec@5 79.000 (84.542)
Epoch: [86][7890/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.6136 (1.6305)	Prec@1 57.000 (56.122)	Prec@5 84.500 (84.543)
Epoch: [86][7900/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7628 (1.6304)	Prec@1 53.000 (56.123)	Prec@5 85.000 (84.544)
Epoch: [86][7910/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.3656 (1.6304)	Prec@1 59.500 (56.123)	Prec@5 89.000 (84.544)
Epoch: [86][7920/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.4645 (1.6304)	Prec@1 58.500 (56.124)	Prec@5 87.000 (84.545)
Epoch: [86][7930/9018]	Time 0.627 (0.617)	Data 0.001 (0.001)	Loss 1.8301 (1.6304)	Prec@1 49.000 (56.123)	Prec@5 79.000 (84.545)
Epoch: [86][7940/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.6840 (1.6305)	Prec@1 52.000 (56.120)	Prec@5 84.500 (84.545)
Epoch: [86][7950/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.5616 (1.6305)	Prec@1 57.500 (56.119)	Prec@5 85.000 (84.545)
Epoch: [86][7960/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.7832 (1.6305)	Prec@1 49.000 (56.117)	Prec@5 83.500 (84.543)
Epoch: [86][7970/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.6161 (1.6306)	Prec@1 53.000 (56.115)	Prec@5 86.500 (84.544)
Epoch: [86][7980/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6356 (1.6306)	Prec@1 54.500 (56.114)	Prec@5 84.500 (84.543)
Epoch: [86][7990/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.6746 (1.6306)	Prec@1 57.000 (56.113)	Prec@5 84.500 (84.543)
Epoch: [86][8000/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.7000 (1.6306)	Prec@1 51.000 (56.113)	Prec@5 84.000 (84.543)
Epoch: [86][8010/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.8227 (1.6307)	Prec@1 51.500 (56.111)	Prec@5 83.000 (84.541)
Epoch: [86][8020/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.9070 (1.6308)	Prec@1 45.000 (56.109)	Prec@5 81.500 (84.541)
Epoch: [86][8030/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6725 (1.6307)	Prec@1 58.500 (56.109)	Prec@5 83.000 (84.541)
Epoch: [86][8040/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5282 (1.6307)	Prec@1 58.500 (56.110)	Prec@5 88.000 (84.543)
Epoch: [86][8050/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.5706 (1.6307)	Prec@1 58.000 (56.110)	Prec@5 87.000 (84.542)
Epoch: [86][8060/9018]	Time 0.760 (0.617)	Data 0.001 (0.001)	Loss 1.6306 (1.6307)	Prec@1 59.500 (56.110)	Prec@5 82.000 (84.542)
Epoch: [86][8070/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.7385 (1.6307)	Prec@1 53.500 (56.110)	Prec@5 85.000 (84.542)
Epoch: [86][8080/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6831 (1.6308)	Prec@1 57.500 (56.108)	Prec@5 84.000 (84.540)
Epoch: [86][8090/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.6561 (1.6309)	Prec@1 55.500 (56.106)	Prec@5 87.500 (84.541)
Epoch: [86][8100/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.6209 (1.6309)	Prec@1 58.500 (56.107)	Prec@5 84.000 (84.541)
Epoch: [86][8110/9018]	Time 0.732 (0.617)	Data 0.001 (0.001)	Loss 1.7562 (1.6309)	Prec@1 52.500 (56.105)	Prec@5 82.500 (84.543)
Epoch: [86][8120/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.6306 (1.6309)	Prec@1 53.500 (56.102)	Prec@5 82.500 (84.542)
Epoch: [86][8130/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.5649 (1.6309)	Prec@1 55.000 (56.104)	Prec@5 86.000 (84.542)
Epoch: [86][8140/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.7300 (1.6309)	Prec@1 49.500 (56.103)	Prec@5 86.000 (84.543)
Epoch: [86][8150/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.6692 (1.6309)	Prec@1 57.500 (56.104)	Prec@5 81.000 (84.543)
Epoch: [86][8160/9018]	Time 0.634 (0.617)	Data 0.001 (0.001)	Loss 1.5932 (1.6310)	Prec@1 56.500 (56.105)	Prec@5 89.500 (84.543)
Epoch: [86][8170/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.7540 (1.6310)	Prec@1 53.500 (56.102)	Prec@5 83.000 (84.542)
Epoch: [86][8180/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.6239 (1.6310)	Prec@1 55.000 (56.103)	Prec@5 84.000 (84.543)
Epoch: [86][8190/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.6821 (1.6311)	Prec@1 55.500 (56.103)	Prec@5 84.000 (84.542)
Epoch: [86][8200/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.8274 (1.6311)	Prec@1 51.500 (56.102)	Prec@5 80.000 (84.543)
Epoch: [86][8210/9018]	Time 0.637 (0.617)	Data 0.001 (0.001)	Loss 1.4445 (1.6311)	Prec@1 61.500 (56.103)	Prec@5 87.500 (84.542)
Epoch: [86][8220/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.6482 (1.6311)	Prec@1 55.500 (56.104)	Prec@5 83.500 (84.542)
Epoch: [86][8230/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.7699 (1.6311)	Prec@1 50.500 (56.105)	Prec@5 83.000 (84.542)
Epoch: [86][8240/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.7155 (1.6311)	Prec@1 56.000 (56.106)	Prec@5 81.500 (84.542)
Epoch: [86][8250/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.7309 (1.6310)	Prec@1 55.000 (56.107)	Prec@5 85.000 (84.544)
Epoch: [86][8260/9018]	Time 0.627 (0.617)	Data 0.001 (0.001)	Loss 1.9043 (1.6311)	Prec@1 50.000 (56.103)	Prec@5 78.000 (84.542)
Epoch: [86][8270/9018]	Time 0.631 (0.617)	Data 0.001 (0.001)	Loss 1.7235 (1.6312)	Prec@1 51.000 (56.100)	Prec@5 84.000 (84.541)
Epoch: [86][8280/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.6607 (1.6313)	Prec@1 60.000 (56.100)	Prec@5 84.500 (84.539)
Epoch: [86][8290/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.5339 (1.6312)	Prec@1 58.500 (56.099)	Prec@5 86.500 (84.540)
Epoch: [86][8300/9018]	Time 0.634 (0.617)	Data 0.001 (0.001)	Loss 1.7674 (1.6312)	Prec@1 54.500 (56.098)	Prec@5 78.000 (84.540)
Epoch: [86][8310/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.7827 (1.6313)	Prec@1 51.500 (56.096)	Prec@5 82.500 (84.539)
Epoch: [86][8320/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.7342 (1.6313)	Prec@1 50.000 (56.095)	Prec@5 82.000 (84.538)
Epoch: [86][8330/9018]	Time 0.622 (0.617)	Data 0.001 (0.001)	Loss 1.4920 (1.6313)	Prec@1 60.000 (56.096)	Prec@5 89.000 (84.539)
Epoch: [86][8340/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.6743 (1.6313)	Prec@1 56.000 (56.098)	Prec@5 87.000 (84.540)
Epoch: [86][8350/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.8403 (1.6313)	Prec@1 51.500 (56.096)	Prec@5 80.000 (84.540)
Epoch: [86][8360/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.6527 (1.6314)	Prec@1 55.000 (56.096)	Prec@5 84.500 (84.539)
Epoch: [86][8370/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.7857 (1.6314)	Prec@1 53.000 (56.096)	Prec@5 82.500 (84.537)
Epoch: [86][8380/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.3829 (1.6314)	Prec@1 60.000 (56.096)	Prec@5 87.500 (84.538)
Epoch: [86][8390/9018]	Time 0.734 (0.617)	Data 0.001 (0.001)	Loss 1.5847 (1.6314)	Prec@1 58.000 (56.097)	Prec@5 86.500 (84.538)
Epoch: [86][8400/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6990 (1.6313)	Prec@1 52.000 (56.097)	Prec@5 83.000 (84.539)
Epoch: [86][8410/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.5738 (1.6313)	Prec@1 56.500 (56.096)	Prec@5 83.500 (84.539)
Epoch: [86][8420/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.9376 (1.6315)	Prec@1 48.500 (56.093)	Prec@5 78.000 (84.536)
Epoch: [86][8430/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.5958 (1.6315)	Prec@1 54.000 (56.092)	Prec@5 86.500 (84.537)
Epoch: [86][8440/9018]	Time 0.722 (0.617)	Data 0.001 (0.001)	Loss 1.6791 (1.6315)	Prec@1 54.000 (56.089)	Prec@5 84.500 (84.536)
Epoch: [86][8450/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.5857 (1.6315)	Prec@1 56.500 (56.089)	Prec@5 85.500 (84.536)
Epoch: [86][8460/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.5768 (1.6315)	Prec@1 57.000 (56.087)	Prec@5 83.000 (84.536)
Epoch: [86][8470/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.5505 (1.6315)	Prec@1 59.000 (56.088)	Prec@5 85.000 (84.536)
Epoch: [86][8480/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.3313 (1.6315)	Prec@1 64.000 (56.088)	Prec@5 91.500 (84.536)
Epoch: [86][8490/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.7387 (1.6316)	Prec@1 60.500 (56.088)	Prec@5 81.500 (84.536)
Epoch: [86][8500/9018]	Time 0.634 (0.617)	Data 0.001 (0.001)	Loss 1.6141 (1.6316)	Prec@1 58.500 (56.087)	Prec@5 87.500 (84.536)
Epoch: [86][8510/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.5495 (1.6315)	Prec@1 60.500 (56.088)	Prec@5 86.500 (84.536)
Epoch: [86][8520/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.5376 (1.6315)	Prec@1 60.000 (56.092)	Prec@5 86.000 (84.537)
Epoch: [86][8530/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.4952 (1.6315)	Prec@1 57.000 (56.094)	Prec@5 86.000 (84.538)
Epoch: [86][8540/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 2.0663 (1.6315)	Prec@1 51.000 (56.094)	Prec@5 77.000 (84.537)
Epoch: [86][8550/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.5359 (1.6315)	Prec@1 56.500 (56.094)	Prec@5 84.500 (84.536)
Epoch: [86][8560/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.5638 (1.6315)	Prec@1 58.500 (56.094)	Prec@5 88.500 (84.536)
Epoch: [86][8570/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.5998 (1.6315)	Prec@1 57.500 (56.095)	Prec@5 83.500 (84.535)
Epoch: [86][8580/9018]	Time 0.620 (0.617)	Data 0.001 (0.001)	Loss 1.5607 (1.6315)	Prec@1 57.000 (56.095)	Prec@5 87.000 (84.533)
Epoch: [86][8590/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.7718 (1.6315)	Prec@1 50.500 (56.096)	Prec@5 81.000 (84.533)
Epoch: [86][8600/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.7457 (1.6315)	Prec@1 56.000 (56.096)	Prec@5 81.000 (84.534)
Epoch: [86][8610/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.7466 (1.6315)	Prec@1 54.000 (56.094)	Prec@5 83.500 (84.533)
Epoch: [86][8620/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.6428 (1.6315)	Prec@1 55.000 (56.093)	Prec@5 84.000 (84.533)
Epoch: [86][8630/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6361 (1.6315)	Prec@1 56.000 (56.095)	Prec@5 84.500 (84.532)
Epoch: [86][8640/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.4803 (1.6314)	Prec@1 57.500 (56.096)	Prec@5 90.000 (84.533)
Epoch: [86][8650/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.7562 (1.6314)	Prec@1 50.500 (56.095)	Prec@5 83.000 (84.533)
Epoch: [86][8660/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.5928 (1.6315)	Prec@1 53.500 (56.094)	Prec@5 86.500 (84.531)
Epoch: [86][8670/9018]	Time 0.763 (0.617)	Data 0.001 (0.001)	Loss 1.5925 (1.6315)	Prec@1 59.500 (56.094)	Prec@5 87.000 (84.532)
Epoch: [86][8680/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.6200 (1.6315)	Prec@1 55.500 (56.093)	Prec@5 87.000 (84.534)
Epoch: [86][8690/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.4410 (1.6315)	Prec@1 59.500 (56.093)	Prec@5 88.500 (84.534)
Epoch: [86][8700/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.5443 (1.6315)	Prec@1 60.000 (56.095)	Prec@5 87.000 (84.534)
Epoch: [86][8710/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.4936 (1.6315)	Prec@1 61.500 (56.095)	Prec@5 88.000 (84.533)
Epoch: [86][8720/9018]	Time 0.765 (0.617)	Data 0.001 (0.001)	Loss 1.9104 (1.6316)	Prec@1 47.000 (56.093)	Prec@5 81.500 (84.532)
Epoch: [86][8730/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.4396 (1.6316)	Prec@1 55.000 (56.092)	Prec@5 89.500 (84.532)
Epoch: [86][8740/9018]	Time 0.615 (0.618)	Data 0.001 (0.001)	Loss 1.6461 (1.6317)	Prec@1 56.500 (56.090)	Prec@5 84.500 (84.531)
Epoch: [86][8750/9018]	Time 0.607 (0.618)	Data 0.001 (0.001)	Loss 1.7831 (1.6317)	Prec@1 51.500 (56.089)	Prec@5 81.000 (84.532)
Epoch: [86][8760/9018]	Time 0.638 (0.618)	Data 0.001 (0.001)	Loss 1.6385 (1.6317)	Prec@1 59.000 (56.090)	Prec@5 81.500 (84.530)
Epoch: [86][8770/9018]	Time 0.609 (0.618)	Data 0.001 (0.001)	Loss 1.7606 (1.6318)	Prec@1 54.500 (56.087)	Prec@5 84.000 (84.530)
Epoch: [86][8780/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.7026 (1.6318)	Prec@1 52.500 (56.084)	Prec@5 84.500 (84.530)
Epoch: [86][8790/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.8418 (1.6319)	Prec@1 49.500 (56.083)	Prec@5 84.000 (84.530)
Epoch: [86][8800/9018]	Time 0.611 (0.618)	Data 0.001 (0.001)	Loss 1.4669 (1.6318)	Prec@1 58.000 (56.082)	Prec@5 89.000 (84.530)
Epoch: [86][8810/9018]	Time 0.605 (0.618)	Data 0.001 (0.001)	Loss 1.9256 (1.6319)	Prec@1 48.000 (56.080)	Prec@5 81.000 (84.530)
Epoch: [86][8820/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.6183 (1.6319)	Prec@1 50.500 (56.079)	Prec@5 86.000 (84.530)
Epoch: [86][8830/9018]	Time 0.609 (0.618)	Data 0.001 (0.001)	Loss 1.3636 (1.6319)	Prec@1 63.500 (56.082)	Prec@5 88.000 (84.531)
Epoch: [86][8840/9018]	Time 0.611 (0.618)	Data 0.001 (0.001)	Loss 1.5106 (1.6319)	Prec@1 60.000 (56.083)	Prec@5 84.500 (84.530)
Epoch: [86][8850/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.6916 (1.6320)	Prec@1 56.000 (56.082)	Prec@5 83.000 (84.529)
Epoch: [86][8860/9018]	Time 0.612 (0.618)	Data 0.001 (0.001)	Loss 1.6167 (1.6320)	Prec@1 56.500 (56.081)	Prec@5 85.000 (84.529)
Epoch: [86][8870/9018]	Time 0.620 (0.618)	Data 0.001 (0.001)	Loss 1.6122 (1.6320)	Prec@1 56.000 (56.080)	Prec@5 88.000 (84.530)
Epoch: [86][8880/9018]	Time 0.626 (0.618)	Data 0.001 (0.001)	Loss 1.5678 (1.6320)	Prec@1 56.500 (56.079)	Prec@5 87.000 (84.531)
Epoch: [86][8890/9018]	Time 0.607 (0.618)	Data 0.001 (0.001)	Loss 1.6776 (1.6320)	Prec@1 59.000 (56.078)	Prec@5 81.500 (84.530)
Epoch: [86][8900/9018]	Time 0.616 (0.618)	Data 0.002 (0.001)	Loss 1.4966 (1.6320)	Prec@1 58.500 (56.077)	Prec@5 85.500 (84.530)
Epoch: [86][8910/9018]	Time 0.617 (0.618)	Data 0.001 (0.001)	Loss 1.5720 (1.6321)	Prec@1 56.000 (56.076)	Prec@5 86.000 (84.530)
Epoch: [86][8920/9018]	Time 0.633 (0.618)	Data 0.001 (0.001)	Loss 1.7232 (1.6321)	Prec@1 55.500 (56.075)	Prec@5 80.000 (84.529)
Epoch: [86][8930/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.5004 (1.6321)	Prec@1 63.500 (56.077)	Prec@5 85.000 (84.529)
Epoch: [86][8940/9018]	Time 0.601 (0.618)	Data 0.001 (0.001)	Loss 1.3944 (1.6320)	Prec@1 60.500 (56.080)	Prec@5 90.500 (84.531)
Epoch: [86][8950/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.5386 (1.6320)	Prec@1 62.000 (56.079)	Prec@5 84.000 (84.531)
Epoch: [86][8960/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.5295 (1.6320)	Prec@1 57.500 (56.077)	Prec@5 86.000 (84.530)
Epoch: [86][8970/9018]	Time 0.621 (0.618)	Data 0.001 (0.001)	Loss 1.6298 (1.6321)	Prec@1 55.000 (56.078)	Prec@5 86.000 (84.531)
Epoch: [86][8980/9018]	Time 0.632 (0.618)	Data 0.001 (0.001)	Loss 1.6412 (1.6321)	Prec@1 59.000 (56.077)	Prec@5 86.000 (84.531)
Epoch: [86][8990/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.6899 (1.6321)	Prec@1 56.000 (56.077)	Prec@5 84.500 (84.531)
Epoch: [86][9000/9018]	Time 0.813 (0.618)	Data 0.001 (0.001)	Loss 1.4998 (1.6320)	Prec@1 59.000 (56.077)	Prec@5 89.000 (84.532)
Epoch: [86][9010/9018]	Time 0.605 (0.618)	Data 0.000 (0.001)	Loss 1.8708 (1.6321)	Prec@1 50.000 (56.075)	Prec@5 78.500 (84.532)
Test: [0/183]	Time 1.499 (1.499)	Loss 2.4882 (2.4882)	Prec@1 37.000 (37.000)	Prec@5 72.000 (72.000)
Test: [10/183]	Time 0.182 (0.315)	Loss 1.6061 (1.6822)	Prec@1 58.000 (55.682)	Prec@5 88.000 (85.818)
Test: [20/183]	Time 0.181 (0.260)	Loss 1.9882 (1.6398)	Prec@1 48.000 (56.167)	Prec@5 81.000 (85.619)
Test: [30/183]	Time 0.184 (0.239)	Loss 2.2218 (1.6434)	Prec@1 33.000 (55.403)	Prec@5 76.500 (85.790)
Test: [40/183]	Time 0.205 (0.230)	Loss 2.1258 (1.6536)	Prec@1 43.000 (55.951)	Prec@5 78.500 (85.293)
Test: [50/183]	Time 0.194 (0.224)	Loss 1.3766 (1.6240)	Prec@1 63.500 (56.667)	Prec@5 89.000 (85.588)
Test: [60/183]	Time 0.192 (0.219)	Loss 2.1538 (1.6890)	Prec@1 45.000 (54.811)	Prec@5 77.500 (84.820)
Test: [70/183]	Time 0.182 (0.216)	Loss 1.7123 (1.6759)	Prec@1 49.000 (54.810)	Prec@5 84.000 (85.134)
Test: [80/183]	Time 0.189 (0.212)	Loss 1.6629 (1.6622)	Prec@1 50.500 (54.870)	Prec@5 90.500 (85.377)
Test: [90/183]	Time 0.192 (0.211)	Loss 2.2565 (1.6624)	Prec@1 41.500 (54.918)	Prec@5 72.000 (85.297)
Test: [100/183]	Time 0.207 (0.210)	Loss 0.8030 (1.6655)	Prec@1 76.500 (54.728)	Prec@5 95.000 (85.361)
Test: [110/183]	Time 0.183 (0.209)	Loss 0.6987 (1.6682)	Prec@1 82.500 (54.694)	Prec@5 96.500 (85.306)
Test: [120/183]	Time 0.189 (0.208)	Loss 2.1675 (1.6770)	Prec@1 44.000 (54.488)	Prec@5 74.000 (85.194)
Test: [130/183]	Time 0.188 (0.206)	Loss 3.0032 (1.6884)	Prec@1 20.000 (54.156)	Prec@5 71.000 (85.187)
Test: [140/183]	Time 0.189 (0.206)	Loss 1.5199 (1.6765)	Prec@1 64.500 (54.422)	Prec@5 86.000 (85.362)
Test: [150/183]	Time 0.187 (0.205)	Loss 0.5512 (1.6729)	Prec@1 85.500 (54.675)	Prec@5 99.000 (85.411)
Test: [160/183]	Time 0.192 (0.204)	Loss 1.5639 (1.6699)	Prec@1 56.000 (54.891)	Prec@5 86.000 (85.438)
Test: [170/183]	Time 0.192 (0.204)	Loss 2.1775 (1.6867)	Prec@1 31.000 (54.450)	Prec@5 82.500 (85.211)
Test: [180/183]	Time 0.203 (0.203)	Loss 1.9622 (1.6939)	Prec@1 46.500 (54.384)	Prec@5 86.000 (85.080)
 * Prec@1 54.381 Prec@5 85.077
Epoch: [87][0/9018]	Time 3.011 (3.011)	Data 2.353 (2.353)	Loss 1.3889 (1.3889)	Prec@1 64.500 (64.500)	Prec@5 90.000 (90.000)
Epoch: [87][10/9018]	Time 0.608 (0.826)	Data 0.001 (0.215)	Loss 1.6214 (1.6195)	Prec@1 56.500 (57.545)	Prec@5 83.500 (85.227)
Epoch: [87][20/9018]	Time 0.612 (0.735)	Data 0.001 (0.113)	Loss 1.5906 (1.6109)	Prec@1 59.500 (57.333)	Prec@5 86.500 (85.214)
Epoch: [87][30/9018]	Time 0.608 (0.694)	Data 0.001 (0.077)	Loss 1.5646 (1.6384)	Prec@1 60.000 (56.532)	Prec@5 85.500 (84.710)
Epoch: [87][40/9018]	Time 0.614 (0.677)	Data 0.001 (0.058)	Loss 1.5747 (1.6133)	Prec@1 60.000 (56.988)	Prec@5 81.000 (84.854)
Epoch: [87][50/9018]	Time 0.609 (0.667)	Data 0.001 (0.047)	Loss 1.8019 (1.6071)	Prec@1 55.000 (56.892)	Prec@5 82.000 (84.980)
Epoch: [87][60/9018]	Time 0.606 (0.658)	Data 0.001 (0.039)	Loss 1.6195 (1.6031)	Prec@1 58.000 (56.746)	Prec@5 81.000 (84.910)
Epoch: [87][70/9018]	Time 0.632 (0.657)	Data 0.001 (0.034)	Loss 1.7542 (1.6054)	Prec@1 52.500 (56.634)	Prec@5 81.500 (84.901)
Epoch: [87][80/9018]	Time 0.607 (0.651)	Data 0.001 (0.030)	Loss 1.4944 (1.6107)	Prec@1 61.500 (56.716)	Prec@5 87.000 (84.747)
Epoch: [87][90/9018]	Time 0.632 (0.650)	Data 0.001 (0.027)	Loss 1.7442 (1.6157)	Prec@1 55.500 (56.692)	Prec@5 80.000 (84.621)
Epoch: [87][100/9018]	Time 0.604 (0.647)	Data 0.001 (0.024)	Loss 1.6104 (1.6146)	Prec@1 60.000 (56.772)	Prec@5 84.000 (84.693)
Epoch: [87][110/9018]	Time 0.615 (0.644)	Data 0.001 (0.022)	Loss 1.5765 (1.6105)	Prec@1 58.000 (56.802)	Prec@5 86.000 (84.725)
Epoch: [87][120/9018]	Time 0.611 (0.643)	Data 0.001 (0.020)	Loss 1.7268 (1.6084)	Prec@1 59.500 (56.802)	Prec@5 83.500 (84.872)
Epoch: [87][130/9018]	Time 0.745 (0.641)	Data 0.001 (0.019)	Loss 1.4851 (1.6051)	Prec@1 59.500 (56.821)	Prec@5 88.000 (84.947)
Epoch: [87][140/9018]	Time 0.606 (0.639)	Data 0.001 (0.018)	Loss 1.5910 (1.6071)	Prec@1 59.000 (56.727)	Prec@5 85.000 (84.915)
Epoch: [87][150/9018]	Time 0.605 (0.638)	Data 0.001 (0.016)	Loss 1.6796 (1.6088)	Prec@1 54.500 (56.722)	Prec@5 84.000 (84.838)
Epoch: [87][160/9018]	Time 0.607 (0.636)	Data 0.001 (0.015)	Loss 1.5286 (1.6083)	Prec@1 59.000 (56.733)	Prec@5 86.500 (84.820)
Epoch: [87][170/9018]	Time 0.630 (0.635)	Data 0.001 (0.015)	Loss 1.8708 (1.6115)	Prec@1 48.500 (56.637)	Prec@5 80.000 (84.728)
Epoch: [87][180/9018]	Time 0.724 (0.635)	Data 0.001 (0.014)	Loss 1.4634 (1.6109)	Prec@1 59.500 (56.660)	Prec@5 85.500 (84.735)
Epoch: [87][190/9018]	Time 0.604 (0.633)	Data 0.001 (0.013)	Loss 1.4238 (1.6104)	Prec@1 63.000 (56.707)	Prec@5 88.000 (84.762)
Epoch: [87][200/9018]	Time 0.609 (0.633)	Data 0.001 (0.013)	Loss 1.6944 (1.6106)	Prec@1 51.500 (56.674)	Prec@5 81.000 (84.761)
Epoch: [87][210/9018]	Time 0.609 (0.632)	Data 0.001 (0.012)	Loss 1.8704 (1.6126)	Prec@1 52.000 (56.637)	Prec@5 83.000 (84.784)
Epoch: [87][220/9018]	Time 0.611 (0.631)	Data 0.001 (0.011)	Loss 1.6491 (1.6133)	Prec@1 55.500 (56.649)	Prec@5 83.500 (84.769)
Epoch: [87][230/9018]	Time 0.611 (0.631)	Data 0.001 (0.011)	Loss 1.4922 (1.6095)	Prec@1 59.500 (56.768)	Prec@5 86.500 (84.840)
Epoch: [87][240/9018]	Time 0.613 (0.630)	Data 0.001 (0.011)	Loss 1.7159 (1.6096)	Prec@1 50.000 (56.749)	Prec@5 81.500 (84.830)
Epoch: [87][250/9018]	Time 0.596 (0.629)	Data 0.001 (0.010)	Loss 1.4305 (1.6076)	Prec@1 64.000 (56.809)	Prec@5 89.000 (84.857)
Epoch: [87][260/9018]	Time 0.619 (0.629)	Data 0.001 (0.010)	Loss 1.4448 (1.6080)	Prec@1 62.500 (56.774)	Prec@5 88.000 (84.856)
Epoch: [87][270/9018]	Time 0.604 (0.629)	Data 0.001 (0.010)	Loss 1.5634 (1.6051)	Prec@1 60.500 (56.836)	Prec@5 83.000 (84.884)
Epoch: [87][280/9018]	Time 0.612 (0.628)	Data 0.001 (0.009)	Loss 1.6495 (1.6033)	Prec@1 55.500 (56.851)	Prec@5 84.500 (84.923)
Epoch: [87][290/9018]	Time 0.607 (0.628)	Data 0.001 (0.009)	Loss 1.5906 (1.6040)	Prec@1 57.000 (56.828)	Prec@5 83.000 (84.928)
Epoch: [87][300/9018]	Time 0.605 (0.628)	Data 0.001 (0.009)	Loss 1.6120 (1.6035)	Prec@1 55.500 (56.796)	Prec@5 86.000 (84.950)
Epoch: [87][310/9018]	Time 0.623 (0.627)	Data 0.001 (0.008)	Loss 1.5341 (1.6033)	Prec@1 56.000 (56.791)	Prec@5 86.500 (84.992)
Epoch: [87][320/9018]	Time 0.605 (0.627)	Data 0.001 (0.008)	Loss 1.4259 (1.6027)	Prec@1 62.000 (56.832)	Prec@5 87.000 (84.989)
Epoch: [87][330/9018]	Time 0.604 (0.627)	Data 0.001 (0.008)	Loss 1.5609 (1.6017)	Prec@1 54.500 (56.847)	Prec@5 88.000 (85.021)
Epoch: [87][340/9018]	Time 0.609 (0.626)	Data 0.001 (0.008)	Loss 1.4619 (1.6033)	Prec@1 59.000 (56.793)	Prec@5 89.000 (84.987)
Epoch: [87][350/9018]	Time 0.606 (0.626)	Data 0.001 (0.008)	Loss 1.3993 (1.6042)	Prec@1 65.500 (56.765)	Prec@5 87.500 (84.962)
Epoch: [87][360/9018]	Time 0.605 (0.626)	Data 0.001 (0.007)	Loss 1.6603 (1.6050)	Prec@1 54.500 (56.740)	Prec@5 81.500 (84.946)
Epoch: [87][370/9018]	Time 0.606 (0.625)	Data 0.001 (0.007)	Loss 1.6756 (1.6039)	Prec@1 55.500 (56.784)	Prec@5 83.500 (84.946)
Epoch: [87][380/9018]	Time 0.635 (0.625)	Data 0.001 (0.007)	Loss 1.7620 (1.6047)	Prec@1 55.000 (56.740)	Prec@5 82.500 (84.933)
Epoch: [87][390/9018]	Time 0.619 (0.625)	Data 0.001 (0.007)	Loss 1.8084 (1.6050)	Prec@1 49.000 (56.721)	Prec@5 83.000 (84.928)
Epoch: [87][400/9018]	Time 0.605 (0.625)	Data 0.001 (0.007)	Loss 1.4966 (1.6054)	Prec@1 63.000 (56.717)	Prec@5 87.500 (84.910)
Epoch: [87][410/9018]	Time 0.619 (0.625)	Data 0.001 (0.007)	Loss 1.6411 (1.6057)	Prec@1 55.000 (56.693)	Prec@5 82.500 (84.906)
Epoch: [87][420/9018]	Time 0.612 (0.625)	Data 0.001 (0.006)	Loss 1.7662 (1.6062)	Prec@1 55.000 (56.695)	Prec@5 81.500 (84.916)
Epoch: [87][430/9018]	Time 0.610 (0.625)	Data 0.001 (0.006)	Loss 1.6604 (1.6050)	Prec@1 54.500 (56.717)	Prec@5 85.000 (84.936)
Epoch: [87][440/9018]	Time 0.612 (0.624)	Data 0.001 (0.006)	Loss 1.6086 (1.6067)	Prec@1 55.500 (56.698)	Prec@5 86.500 (84.907)
Epoch: [87][450/9018]	Time 0.612 (0.624)	Data 0.001 (0.006)	Loss 1.4852 (1.6072)	Prec@1 56.000 (56.708)	Prec@5 89.000 (84.896)
Epoch: [87][460/9018]	Time 0.728 (0.624)	Data 0.001 (0.006)	Loss 1.7240 (1.6080)	Prec@1 55.500 (56.675)	Prec@5 84.000 (84.912)
Epoch: [87][470/9018]	Time 0.612 (0.624)	Data 0.001 (0.006)	Loss 1.5545 (1.6074)	Prec@1 60.500 (56.701)	Prec@5 83.500 (84.930)
Epoch: [87][480/9018]	Time 0.616 (0.624)	Data 0.001 (0.006)	Loss 1.5778 (1.6075)	Prec@1 57.000 (56.708)	Prec@5 85.000 (84.925)
Epoch: [87][490/9018]	Time 0.607 (0.624)	Data 0.001 (0.006)	Loss 1.5124 (1.6083)	Prec@1 57.000 (56.677)	Prec@5 87.500 (84.914)
Epoch: [87][500/9018]	Time 0.609 (0.624)	Data 0.001 (0.006)	Loss 1.7461 (1.6092)	Prec@1 50.500 (56.628)	Prec@5 86.000 (84.911)
Epoch: [87][510/9018]	Time 0.746 (0.624)	Data 0.001 (0.005)	Loss 1.5832 (1.6095)	Prec@1 54.500 (56.597)	Prec@5 84.500 (84.908)
Epoch: [87][520/9018]	Time 0.603 (0.623)	Data 0.001 (0.005)	Loss 1.5272 (1.6098)	Prec@1 53.000 (56.599)	Prec@5 88.500 (84.903)
Epoch: [87][530/9018]	Time 0.611 (0.623)	Data 0.001 (0.005)	Loss 1.6979 (1.6106)	Prec@1 56.000 (56.594)	Prec@5 81.500 (84.876)
Epoch: [87][540/9018]	Time 0.609 (0.623)	Data 0.001 (0.005)	Loss 1.5266 (1.6107)	Prec@1 60.000 (56.587)	Prec@5 84.000 (84.881)
Epoch: [87][550/9018]	Time 0.611 (0.623)	Data 0.001 (0.005)	Loss 1.4397 (1.6119)	Prec@1 60.000 (56.568)	Prec@5 89.500 (84.865)
Epoch: [87][560/9018]	Time 0.623 (0.623)	Data 0.001 (0.005)	Loss 1.5541 (1.6132)	Prec@1 57.000 (56.534)	Prec@5 86.500 (84.859)
Epoch: [87][570/9018]	Time 0.611 (0.623)	Data 0.001 (0.005)	Loss 1.9168 (1.6135)	Prec@1 50.000 (56.545)	Prec@5 81.000 (84.850)
Epoch: [87][580/9018]	Time 0.606 (0.623)	Data 0.001 (0.005)	Loss 1.6750 (1.6142)	Prec@1 52.000 (56.528)	Prec@5 84.500 (84.836)
Epoch: [87][590/9018]	Time 0.616 (0.623)	Data 0.001 (0.005)	Loss 1.3490 (1.6134)	Prec@1 65.500 (56.553)	Prec@5 90.500 (84.850)
Epoch: [87][600/9018]	Time 0.613 (0.623)	Data 0.001 (0.005)	Loss 1.5381 (1.6128)	Prec@1 63.000 (56.582)	Prec@5 84.000 (84.853)
Epoch: [87][610/9018]	Time 0.611 (0.623)	Data 0.001 (0.005)	Loss 1.4282 (1.6133)	Prec@1 58.000 (56.567)	Prec@5 90.500 (84.845)
Epoch: [87][620/9018]	Time 0.614 (0.623)	Data 0.001 (0.005)	Loss 1.6304 (1.6133)	Prec@1 51.500 (56.579)	Prec@5 85.500 (84.846)
Epoch: [87][630/9018]	Time 0.606 (0.623)	Data 0.001 (0.005)	Loss 1.4616 (1.6131)	Prec@1 60.500 (56.578)	Prec@5 90.500 (84.870)
Epoch: [87][640/9018]	Time 0.609 (0.622)	Data 0.001 (0.004)	Loss 1.6065 (1.6133)	Prec@1 58.500 (56.573)	Prec@5 85.500 (84.863)
Epoch: [87][650/9018]	Time 0.608 (0.622)	Data 0.001 (0.004)	Loss 1.9119 (1.6128)	Prec@1 52.000 (56.579)	Prec@5 77.000 (84.874)
Epoch: [87][660/9018]	Time 0.622 (0.622)	Data 0.001 (0.004)	Loss 1.5180 (1.6127)	Prec@1 57.000 (56.569)	Prec@5 87.000 (84.887)
Epoch: [87][670/9018]	Time 0.616 (0.622)	Data 0.001 (0.004)	Loss 1.6607 (1.6129)	Prec@1 58.500 (56.582)	Prec@5 85.000 (84.883)
Epoch: [87][680/9018]	Time 0.610 (0.622)	Data 0.001 (0.004)	Loss 1.5136 (1.6130)	Prec@1 58.000 (56.562)	Prec@5 86.500 (84.896)
Epoch: [87][690/9018]	Time 0.612 (0.622)	Data 0.001 (0.004)	Loss 1.5556 (1.6126)	Prec@1 59.000 (56.572)	Prec@5 87.000 (84.896)
Epoch: [87][700/9018]	Time 0.606 (0.622)	Data 0.001 (0.004)	Loss 1.4216 (1.6124)	Prec@1 58.500 (56.570)	Prec@5 88.500 (84.902)
Epoch: [87][710/9018]	Time 0.605 (0.622)	Data 0.001 (0.004)	Loss 1.5834 (1.6127)	Prec@1 57.500 (56.557)	Prec@5 84.500 (84.897)
Epoch: [87][720/9018]	Time 0.611 (0.622)	Data 0.001 (0.004)	Loss 1.7926 (1.6132)	Prec@1 51.000 (56.556)	Prec@5 79.500 (84.877)
Epoch: [87][730/9018]	Time 0.607 (0.622)	Data 0.001 (0.004)	Loss 1.6202 (1.6126)	Prec@1 56.000 (56.565)	Prec@5 85.500 (84.891)
Epoch: [87][740/9018]	Time 0.625 (0.622)	Data 0.001 (0.004)	Loss 1.6687 (1.6132)	Prec@1 58.500 (56.548)	Prec@5 83.000 (84.895)
Epoch: [87][750/9018]	Time 0.607 (0.622)	Data 0.001 (0.004)	Loss 1.6093 (1.6132)	Prec@1 55.500 (56.551)	Prec@5 84.000 (84.876)
Epoch: [87][760/9018]	Time 0.632 (0.622)	Data 0.001 (0.004)	Loss 1.6010 (1.6136)	Prec@1 57.500 (56.551)	Prec@5 85.000 (84.869)
Epoch: [87][770/9018]	Time 0.617 (0.622)	Data 0.001 (0.004)	Loss 1.5803 (1.6138)	Prec@1 59.000 (56.547)	Prec@5 86.500 (84.874)
Epoch: [87][780/9018]	Time 0.607 (0.622)	Data 0.001 (0.004)	Loss 1.8485 (1.6139)	Prec@1 54.000 (56.551)	Prec@5 79.500 (84.870)
Epoch: [87][790/9018]	Time 0.742 (0.622)	Data 0.001 (0.004)	Loss 1.6171 (1.6138)	Prec@1 51.000 (56.547)	Prec@5 86.000 (84.869)
Epoch: [87][800/9018]	Time 0.614 (0.622)	Data 0.001 (0.004)	Loss 1.6312 (1.6144)	Prec@1 56.500 (56.534)	Prec@5 85.000 (84.860)
Epoch: [87][810/9018]	Time 0.628 (0.622)	Data 0.001 (0.004)	Loss 1.4056 (1.6140)	Prec@1 63.000 (56.541)	Prec@5 87.500 (84.863)
Epoch: [87][820/9018]	Time 0.615 (0.622)	Data 0.001 (0.004)	Loss 1.6421 (1.6146)	Prec@1 53.500 (56.538)	Prec@5 84.500 (84.854)
Epoch: [87][830/9018]	Time 0.604 (0.622)	Data 0.001 (0.004)	Loss 1.5115 (1.6147)	Prec@1 56.500 (56.533)	Prec@5 86.000 (84.853)
Epoch: [87][840/9018]	Time 0.740 (0.622)	Data 0.001 (0.004)	Loss 1.6777 (1.6147)	Prec@1 58.000 (56.552)	Prec@5 84.500 (84.847)
Epoch: [87][850/9018]	Time 0.615 (0.622)	Data 0.001 (0.004)	Loss 1.5074 (1.6146)	Prec@1 60.500 (56.550)	Prec@5 84.000 (84.843)
Epoch: [87][860/9018]	Time 0.613 (0.622)	Data 0.001 (0.004)	Loss 1.5459 (1.6150)	Prec@1 57.000 (56.539)	Prec@5 86.500 (84.834)
Epoch: [87][870/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.7654 (1.6154)	Prec@1 56.500 (56.524)	Prec@5 81.500 (84.825)
Epoch: [87][880/9018]	Time 0.623 (0.622)	Data 0.001 (0.003)	Loss 1.7024 (1.6162)	Prec@1 51.500 (56.505)	Prec@5 84.000 (84.805)
Epoch: [87][890/9018]	Time 0.611 (0.622)	Data 0.001 (0.003)	Loss 1.5720 (1.6160)	Prec@1 56.000 (56.499)	Prec@5 85.500 (84.813)
Epoch: [87][900/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.5941 (1.6156)	Prec@1 56.500 (56.506)	Prec@5 84.500 (84.813)
Epoch: [87][910/9018]	Time 0.614 (0.621)	Data 0.001 (0.003)	Loss 1.4315 (1.6159)	Prec@1 56.500 (56.482)	Prec@5 90.000 (84.816)
Epoch: [87][920/9018]	Time 0.615 (0.621)	Data 0.001 (0.003)	Loss 1.6059 (1.6161)	Prec@1 58.000 (56.478)	Prec@5 82.000 (84.808)
Epoch: [87][930/9018]	Time 0.604 (0.621)	Data 0.001 (0.003)	Loss 1.6814 (1.6162)	Prec@1 56.500 (56.481)	Prec@5 82.500 (84.805)
Epoch: [87][940/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.7438 (1.6163)	Prec@1 56.000 (56.484)	Prec@5 79.500 (84.799)
Epoch: [87][950/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.4568 (1.6163)	Prec@1 57.000 (56.488)	Prec@5 86.500 (84.786)
Epoch: [87][960/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.5494 (1.6166)	Prec@1 56.500 (56.478)	Prec@5 87.500 (84.779)
Epoch: [87][970/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.5664 (1.6162)	Prec@1 56.500 (56.485)	Prec@5 84.500 (84.769)
Epoch: [87][980/9018]	Time 0.607 (0.621)	Data 0.001 (0.003)	Loss 1.4495 (1.6164)	Prec@1 60.000 (56.477)	Prec@5 86.500 (84.767)
Epoch: [87][990/9018]	Time 0.606 (0.621)	Data 0.001 (0.003)	Loss 1.7021 (1.6163)	Prec@1 51.500 (56.482)	Prec@5 84.000 (84.768)
Epoch: [87][1000/9018]	Time 0.614 (0.621)	Data 0.001 (0.003)	Loss 1.5771 (1.6161)	Prec@1 54.000 (56.491)	Prec@5 85.500 (84.772)
Epoch: [87][1010/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.6721 (1.6161)	Prec@1 57.500 (56.502)	Prec@5 84.500 (84.767)
Epoch: [87][1020/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.6195 (1.6156)	Prec@1 58.000 (56.511)	Prec@5 85.000 (84.771)
Epoch: [87][1030/9018]	Time 0.620 (0.621)	Data 0.001 (0.003)	Loss 1.4978 (1.6151)	Prec@1 58.500 (56.520)	Prec@5 85.500 (84.774)
Epoch: [87][1040/9018]	Time 0.627 (0.621)	Data 0.001 (0.003)	Loss 1.4212 (1.6150)	Prec@1 59.000 (56.518)	Prec@5 89.000 (84.782)
Epoch: [87][1050/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.7089 (1.6154)	Prec@1 52.500 (56.509)	Prec@5 83.000 (84.781)
Epoch: [87][1060/9018]	Time 0.617 (0.621)	Data 0.001 (0.003)	Loss 1.3544 (1.6149)	Prec@1 62.500 (56.522)	Prec@5 90.000 (84.785)
Epoch: [87][1070/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.6566 (1.6149)	Prec@1 55.500 (56.527)	Prec@5 84.000 (84.785)
Epoch: [87][1080/9018]	Time 0.611 (0.621)	Data 0.001 (0.003)	Loss 1.5423 (1.6146)	Prec@1 57.000 (56.519)	Prec@5 86.500 (84.791)
Epoch: [87][1090/9018]	Time 0.605 (0.621)	Data 0.001 (0.003)	Loss 1.5095 (1.6145)	Prec@1 57.500 (56.530)	Prec@5 88.000 (84.793)
Epoch: [87][1100/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.7765 (1.6148)	Prec@1 54.500 (56.527)	Prec@5 81.500 (84.787)
Epoch: [87][1110/9018]	Time 0.608 (0.621)	Data 0.001 (0.003)	Loss 1.5563 (1.6153)	Prec@1 55.000 (56.516)	Prec@5 86.500 (84.779)
Epoch: [87][1120/9018]	Time 0.729 (0.621)	Data 0.001 (0.003)	Loss 1.6195 (1.6151)	Prec@1 56.000 (56.512)	Prec@5 86.000 (84.786)
Epoch: [87][1130/9018]	Time 0.609 (0.621)	Data 0.001 (0.003)	Loss 1.3846 (1.6147)	Prec@1 62.000 (56.511)	Prec@5 90.500 (84.795)
Epoch: [87][1140/9018]	Time 0.610 (0.621)	Data 0.001 (0.003)	Loss 1.7522 (1.6147)	Prec@1 52.500 (56.522)	Prec@5 84.000 (84.794)
Epoch: [87][1150/9018]	Time 0.617 (0.621)	Data 0.001 (0.003)	Loss 1.7729 (1.6147)	Prec@1 54.500 (56.536)	Prec@5 84.500 (84.790)
Epoch: [87][1160/9018]	Time 0.612 (0.621)	Data 0.001 (0.003)	Loss 1.8771 (1.6148)	Prec@1 53.000 (56.526)	Prec@5 79.500 (84.790)
Epoch: [87][1170/9018]	Time 0.724 (0.621)	Data 0.001 (0.003)	Loss 1.5348 (1.6147)	Prec@1 56.000 (56.526)	Prec@5 84.000 (84.786)
Epoch: [87][1180/9018]	Time 0.610 (0.620)	Data 0.001 (0.003)	Loss 1.6090 (1.6146)	Prec@1 61.500 (56.533)	Prec@5 81.000 (84.786)
Epoch: [87][1190/9018]	Time 0.604 (0.620)	Data 0.001 (0.003)	Loss 1.4052 (1.6144)	Prec@1 59.000 (56.525)	Prec@5 87.500 (84.789)
Epoch: [87][1200/9018]	Time 0.609 (0.620)	Data 0.001 (0.003)	Loss 1.4044 (1.6147)	Prec@1 60.000 (56.522)	Prec@5 88.500 (84.786)
Epoch: [87][1210/9018]	Time 0.605 (0.620)	Data 0.001 (0.003)	Loss 1.5008 (1.6151)	Prec@1 62.500 (56.521)	Prec@5 85.000 (84.773)
Epoch: [87][1220/9018]	Time 0.604 (0.620)	Data 0.001 (0.003)	Loss 1.6973 (1.6148)	Prec@1 55.000 (56.531)	Prec@5 84.000 (84.777)
Epoch: [87][1230/9018]	Time 0.605 (0.620)	Data 0.001 (0.003)	Loss 1.6405 (1.6154)	Prec@1 55.500 (56.519)	Prec@5 81.000 (84.769)
Epoch: [87][1240/9018]	Time 0.607 (0.620)	Data 0.001 (0.003)	Loss 1.5263 (1.6155)	Prec@1 59.000 (56.511)	Prec@5 86.500 (84.768)
Epoch: [87][1250/9018]	Time 0.612 (0.620)	Data 0.001 (0.003)	Loss 1.6441 (1.6158)	Prec@1 56.500 (56.506)	Prec@5 82.000 (84.761)
Epoch: [87][1260/9018]	Time 0.610 (0.620)	Data 0.001 (0.003)	Loss 1.9575 (1.6158)	Prec@1 47.500 (56.510)	Prec@5 82.500 (84.759)
Epoch: [87][1270/9018]	Time 0.608 (0.620)	Data 0.001 (0.003)	Loss 1.4944 (1.6159)	Prec@1 59.000 (56.496)	Prec@5 85.500 (84.760)
Epoch: [87][1280/9018]	Time 0.607 (0.620)	Data 0.001 (0.003)	Loss 1.6619 (1.6161)	Prec@1 58.000 (56.486)	Prec@5 82.000 (84.756)
Epoch: [87][1290/9018]	Time 0.604 (0.620)	Data 0.001 (0.003)	Loss 1.5385 (1.6161)	Prec@1 58.000 (56.488)	Prec@5 85.500 (84.756)
Epoch: [87][1300/9018]	Time 0.607 (0.620)	Data 0.001 (0.003)	Loss 1.7366 (1.6166)	Prec@1 49.000 (56.470)	Prec@5 86.500 (84.744)
Epoch: [87][1310/9018]	Time 0.614 (0.620)	Data 0.001 (0.003)	Loss 1.5426 (1.6161)	Prec@1 57.000 (56.478)	Prec@5 86.000 (84.757)
Epoch: [87][1320/9018]	Time 0.613 (0.620)	Data 0.001 (0.003)	Loss 1.6484 (1.6160)	Prec@1 53.500 (56.472)	Prec@5 83.500 (84.763)
Epoch: [87][1330/9018]	Time 0.615 (0.620)	Data 0.001 (0.003)	Loss 1.3999 (1.6158)	Prec@1 61.500 (56.465)	Prec@5 88.000 (84.770)
Epoch: [87][1340/9018]	Time 0.610 (0.620)	Data 0.001 (0.003)	Loss 1.7284 (1.6160)	Prec@1 51.500 (56.463)	Prec@5 84.500 (84.773)
Epoch: [87][1350/9018]	Time 0.620 (0.620)	Data 0.001 (0.003)	Loss 1.5479 (1.6158)	Prec@1 56.000 (56.467)	Prec@5 89.000 (84.777)
Epoch: [87][1360/9018]	Time 0.604 (0.620)	Data 0.001 (0.003)	Loss 1.7750 (1.6157)	Prec@1 48.500 (56.470)	Prec@5 82.500 (84.781)
Epoch: [87][1370/9018]	Time 0.606 (0.620)	Data 0.001 (0.003)	Loss 1.6220 (1.6158)	Prec@1 56.000 (56.470)	Prec@5 82.500 (84.778)
Epoch: [87][1380/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.3948 (1.6159)	Prec@1 61.000 (56.469)	Prec@5 88.000 (84.774)
Epoch: [87][1390/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.5367 (1.6156)	Prec@1 54.000 (56.469)	Prec@5 86.000 (84.777)
Epoch: [87][1400/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.6819 (1.6159)	Prec@1 56.000 (56.462)	Prec@5 83.500 (84.773)
Epoch: [87][1410/9018]	Time 0.622 (0.620)	Data 0.001 (0.002)	Loss 1.5790 (1.6157)	Prec@1 56.000 (56.466)	Prec@5 84.500 (84.768)
Epoch: [87][1420/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.8416 (1.6154)	Prec@1 54.500 (56.470)	Prec@5 79.500 (84.770)
Epoch: [87][1430/9018]	Time 0.604 (0.620)	Data 0.001 (0.002)	Loss 1.4846 (1.6153)	Prec@1 59.500 (56.474)	Prec@5 83.500 (84.771)
Epoch: [87][1440/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.7098 (1.6155)	Prec@1 55.000 (56.466)	Prec@5 83.500 (84.771)
Epoch: [87][1450/9018]	Time 0.724 (0.620)	Data 0.001 (0.002)	Loss 1.5855 (1.6155)	Prec@1 55.000 (56.467)	Prec@5 86.500 (84.766)
Epoch: [87][1460/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.6401 (1.6157)	Prec@1 52.000 (56.455)	Prec@5 88.000 (84.764)
Epoch: [87][1470/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.6206 (1.6159)	Prec@1 53.000 (56.443)	Prec@5 85.000 (84.759)
Epoch: [87][1480/9018]	Time 0.601 (0.620)	Data 0.001 (0.002)	Loss 1.6207 (1.6161)	Prec@1 54.500 (56.438)	Prec@5 87.500 (84.757)
Epoch: [87][1490/9018]	Time 0.617 (0.620)	Data 0.001 (0.002)	Loss 1.5470 (1.6160)	Prec@1 60.500 (56.436)	Prec@5 85.500 (84.760)
Epoch: [87][1500/9018]	Time 0.725 (0.620)	Data 0.001 (0.002)	Loss 1.6222 (1.6160)	Prec@1 55.000 (56.439)	Prec@5 82.500 (84.758)
Epoch: [87][1510/9018]	Time 0.619 (0.620)	Data 0.001 (0.002)	Loss 1.6981 (1.6160)	Prec@1 56.500 (56.437)	Prec@5 81.000 (84.755)
Epoch: [87][1520/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.6586 (1.6162)	Prec@1 57.500 (56.434)	Prec@5 82.500 (84.748)
Epoch: [87][1530/9018]	Time 0.605 (0.620)	Data 0.001 (0.002)	Loss 1.4742 (1.6161)	Prec@1 59.000 (56.426)	Prec@5 86.000 (84.749)
Epoch: [87][1540/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.6651 (1.6159)	Prec@1 57.000 (56.425)	Prec@5 82.000 (84.755)
Epoch: [87][1550/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.5347 (1.6159)	Prec@1 58.500 (56.419)	Prec@5 88.000 (84.759)
Epoch: [87][1560/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.7195 (1.6160)	Prec@1 55.500 (56.410)	Prec@5 80.500 (84.759)
Epoch: [87][1570/9018]	Time 0.603 (0.620)	Data 0.001 (0.002)	Loss 1.7807 (1.6165)	Prec@1 55.000 (56.405)	Prec@5 80.500 (84.756)
Epoch: [87][1580/9018]	Time 0.625 (0.620)	Data 0.003 (0.002)	Loss 1.6442 (1.6165)	Prec@1 47.500 (56.399)	Prec@5 86.000 (84.760)
Epoch: [87][1590/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.6417 (1.6170)	Prec@1 54.000 (56.382)	Prec@5 83.500 (84.748)
Epoch: [87][1600/9018]	Time 0.628 (0.620)	Data 0.001 (0.002)	Loss 1.7036 (1.6171)	Prec@1 55.000 (56.378)	Prec@5 84.000 (84.747)
Epoch: [87][1610/9018]	Time 0.608 (0.620)	Data 0.001 (0.002)	Loss 1.5584 (1.6168)	Prec@1 58.500 (56.387)	Prec@5 85.500 (84.749)
Epoch: [87][1620/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.7162 (1.6167)	Prec@1 50.500 (56.390)	Prec@5 84.000 (84.756)
Epoch: [87][1630/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.6231 (1.6164)	Prec@1 57.500 (56.393)	Prec@5 84.500 (84.760)
Epoch: [87][1640/9018]	Time 0.624 (0.620)	Data 0.001 (0.002)	Loss 1.5457 (1.6165)	Prec@1 59.000 (56.394)	Prec@5 85.500 (84.764)
Epoch: [87][1650/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.5252 (1.6163)	Prec@1 63.000 (56.404)	Prec@5 85.500 (84.760)
Epoch: [87][1660/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.5127 (1.6166)	Prec@1 57.000 (56.391)	Prec@5 86.000 (84.760)
Epoch: [87][1670/9018]	Time 0.636 (0.620)	Data 0.003 (0.002)	Loss 1.8705 (1.6170)	Prec@1 52.000 (56.383)	Prec@5 78.000 (84.758)
Epoch: [87][1680/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.6695 (1.6172)	Prec@1 54.000 (56.374)	Prec@5 86.500 (84.755)
Epoch: [87][1690/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.7357 (1.6172)	Prec@1 55.000 (56.373)	Prec@5 79.500 (84.755)
Epoch: [87][1700/9018]	Time 0.630 (0.620)	Data 0.001 (0.002)	Loss 1.6316 (1.6172)	Prec@1 56.500 (56.371)	Prec@5 83.500 (84.761)
Epoch: [87][1710/9018]	Time 0.604 (0.620)	Data 0.001 (0.002)	Loss 1.6765 (1.6168)	Prec@1 54.500 (56.377)	Prec@5 83.500 (84.767)
Epoch: [87][1720/9018]	Time 0.602 (0.620)	Data 0.001 (0.002)	Loss 1.6593 (1.6169)	Prec@1 56.000 (56.383)	Prec@5 86.000 (84.762)
Epoch: [87][1730/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.7226 (1.6170)	Prec@1 54.000 (56.385)	Prec@5 84.000 (84.763)
Epoch: [87][1740/9018]	Time 0.618 (0.620)	Data 0.001 (0.002)	Loss 1.5058 (1.6171)	Prec@1 56.500 (56.385)	Prec@5 86.500 (84.761)
Epoch: [87][1750/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.6074 (1.6166)	Prec@1 58.000 (56.390)	Prec@5 82.500 (84.767)
Epoch: [87][1760/9018]	Time 0.608 (0.620)	Data 0.001 (0.002)	Loss 1.5320 (1.6166)	Prec@1 54.000 (56.381)	Prec@5 86.000 (84.770)
Epoch: [87][1770/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.8004 (1.6166)	Prec@1 54.500 (56.382)	Prec@5 81.500 (84.773)
Epoch: [87][1780/9018]	Time 0.733 (0.620)	Data 0.001 (0.002)	Loss 1.5731 (1.6169)	Prec@1 58.000 (56.380)	Prec@5 84.500 (84.770)
Epoch: [87][1790/9018]	Time 0.618 (0.620)	Data 0.001 (0.002)	Loss 1.7375 (1.6169)	Prec@1 51.500 (56.381)	Prec@5 83.500 (84.766)
Epoch: [87][1800/9018]	Time 0.608 (0.620)	Data 0.001 (0.002)	Loss 1.7082 (1.6170)	Prec@1 53.500 (56.375)	Prec@5 84.000 (84.765)
Epoch: [87][1810/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.7082 (1.6168)	Prec@1 54.500 (56.378)	Prec@5 84.000 (84.771)
Epoch: [87][1820/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.4934 (1.6166)	Prec@1 62.000 (56.386)	Prec@5 88.000 (84.775)
Epoch: [87][1830/9018]	Time 0.740 (0.620)	Data 0.001 (0.002)	Loss 1.7110 (1.6164)	Prec@1 55.500 (56.390)	Prec@5 80.000 (84.774)
Epoch: [87][1840/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.6215 (1.6163)	Prec@1 59.500 (56.389)	Prec@5 82.500 (84.777)
Epoch: [87][1850/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.5574 (1.6162)	Prec@1 55.000 (56.392)	Prec@5 87.500 (84.780)
Epoch: [87][1860/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.4805 (1.6161)	Prec@1 62.000 (56.398)	Prec@5 87.500 (84.782)
Epoch: [87][1870/9018]	Time 0.628 (0.620)	Data 0.001 (0.002)	Loss 1.5592 (1.6160)	Prec@1 54.500 (56.399)	Prec@5 87.000 (84.787)
Epoch: [87][1880/9018]	Time 0.603 (0.620)	Data 0.001 (0.002)	Loss 1.5602 (1.6160)	Prec@1 55.500 (56.397)	Prec@5 89.500 (84.788)
Epoch: [87][1890/9018]	Time 0.603 (0.620)	Data 0.001 (0.002)	Loss 1.5713 (1.6161)	Prec@1 58.000 (56.383)	Prec@5 85.500 (84.793)
Epoch: [87][1900/9018]	Time 0.608 (0.620)	Data 0.001 (0.002)	Loss 1.4315 (1.6159)	Prec@1 64.000 (56.390)	Prec@5 86.000 (84.794)
Epoch: [87][1910/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.6699 (1.6160)	Prec@1 57.500 (56.396)	Prec@5 84.000 (84.793)
Epoch: [87][1920/9018]	Time 0.603 (0.620)	Data 0.001 (0.002)	Loss 1.5498 (1.6160)	Prec@1 58.500 (56.396)	Prec@5 86.500 (84.793)
Epoch: [87][1930/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.5409 (1.6158)	Prec@1 55.500 (56.401)	Prec@5 84.500 (84.795)
Epoch: [87][1940/9018]	Time 0.625 (0.620)	Data 0.001 (0.002)	Loss 1.8576 (1.6160)	Prec@1 47.500 (56.397)	Prec@5 84.000 (84.793)
Epoch: [87][1950/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.6394 (1.6162)	Prec@1 57.500 (56.387)	Prec@5 83.000 (84.792)
Epoch: [87][1960/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.5584 (1.6163)	Prec@1 57.000 (56.385)	Prec@5 83.000 (84.788)
Epoch: [87][1970/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.5865 (1.6165)	Prec@1 52.000 (56.384)	Prec@5 86.000 (84.778)
Epoch: [87][1980/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.6749 (1.6165)	Prec@1 54.500 (56.387)	Prec@5 84.000 (84.779)
Epoch: [87][1990/9018]	Time 0.617 (0.620)	Data 0.001 (0.002)	Loss 1.7928 (1.6168)	Prec@1 51.500 (56.379)	Prec@5 82.000 (84.774)
Epoch: [87][2000/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.6393 (1.6169)	Prec@1 50.500 (56.373)	Prec@5 85.000 (84.771)
Epoch: [87][2010/9018]	Time 0.598 (0.620)	Data 0.001 (0.002)	Loss 1.5681 (1.6169)	Prec@1 54.500 (56.372)	Prec@5 86.000 (84.767)
Epoch: [87][2020/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.8239 (1.6172)	Prec@1 50.000 (56.366)	Prec@5 83.000 (84.765)
Epoch: [87][2030/9018]	Time 0.622 (0.620)	Data 0.001 (0.002)	Loss 1.6267 (1.6173)	Prec@1 58.500 (56.359)	Prec@5 82.500 (84.765)
Epoch: [87][2040/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.5517 (1.6171)	Prec@1 60.500 (56.358)	Prec@5 83.500 (84.768)
Epoch: [87][2050/9018]	Time 0.610 (0.620)	Data 0.001 (0.002)	Loss 1.6426 (1.6171)	Prec@1 54.500 (56.364)	Prec@5 87.000 (84.766)
Epoch: [87][2060/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.6867 (1.6175)	Prec@1 54.000 (56.350)	Prec@5 83.500 (84.765)
Epoch: [87][2070/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.6632 (1.6170)	Prec@1 56.000 (56.361)	Prec@5 83.000 (84.770)
Epoch: [87][2080/9018]	Time 0.612 (0.620)	Data 0.001 (0.002)	Loss 1.8678 (1.6171)	Prec@1 46.500 (56.351)	Prec@5 81.000 (84.770)
Epoch: [87][2090/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.6670 (1.6171)	Prec@1 54.500 (56.353)	Prec@5 84.000 (84.771)
Epoch: [87][2100/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.5776 (1.6172)	Prec@1 61.500 (56.356)	Prec@5 85.500 (84.765)
Epoch: [87][2110/9018]	Time 0.718 (0.620)	Data 0.001 (0.002)	Loss 1.5924 (1.6170)	Prec@1 60.500 (56.363)	Prec@5 86.500 (84.772)
Epoch: [87][2120/9018]	Time 0.608 (0.620)	Data 0.001 (0.002)	Loss 1.7369 (1.6172)	Prec@1 56.500 (56.362)	Prec@5 83.500 (84.769)
Epoch: [87][2130/9018]	Time 0.607 (0.620)	Data 0.001 (0.002)	Loss 1.8920 (1.6174)	Prec@1 51.000 (56.356)	Prec@5 82.000 (84.761)
Epoch: [87][2140/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.7098 (1.6174)	Prec@1 55.000 (56.358)	Prec@5 84.500 (84.761)
Epoch: [87][2150/9018]	Time 0.620 (0.620)	Data 0.001 (0.002)	Loss 1.6481 (1.6173)	Prec@1 61.000 (56.365)	Prec@5 82.500 (84.764)
Epoch: [87][2160/9018]	Time 0.742 (0.620)	Data 0.001 (0.002)	Loss 1.5781 (1.6174)	Prec@1 55.500 (56.371)	Prec@5 84.500 (84.758)
Epoch: [87][2170/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.4913 (1.6174)	Prec@1 58.000 (56.369)	Prec@5 86.000 (84.757)
Epoch: [87][2180/9018]	Time 0.608 (0.620)	Data 0.001 (0.002)	Loss 1.4511 (1.6176)	Prec@1 60.000 (56.366)	Prec@5 88.500 (84.758)
Epoch: [87][2190/9018]	Time 0.606 (0.620)	Data 0.001 (0.002)	Loss 1.4764 (1.6176)	Prec@1 58.000 (56.367)	Prec@5 85.000 (84.761)
Epoch: [87][2200/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.4923 (1.6175)	Prec@1 55.000 (56.370)	Prec@5 87.000 (84.764)
Epoch: [87][2210/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.6835 (1.6176)	Prec@1 56.500 (56.366)	Prec@5 84.000 (84.764)
Epoch: [87][2220/9018]	Time 0.615 (0.620)	Data 0.001 (0.002)	Loss 1.6809 (1.6178)	Prec@1 55.000 (56.360)	Prec@5 84.500 (84.757)
Epoch: [87][2230/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.6853 (1.6178)	Prec@1 55.000 (56.357)	Prec@5 84.500 (84.756)
Epoch: [87][2240/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.7016 (1.6177)	Prec@1 52.500 (56.362)	Prec@5 82.000 (84.756)
Epoch: [87][2250/9018]	Time 0.605 (0.620)	Data 0.001 (0.002)	Loss 1.3975 (1.6179)	Prec@1 61.500 (56.360)	Prec@5 88.000 (84.754)
Epoch: [87][2260/9018]	Time 0.616 (0.620)	Data 0.001 (0.002)	Loss 1.6454 (1.6180)	Prec@1 56.500 (56.362)	Prec@5 86.500 (84.755)
Epoch: [87][2270/9018]	Time 0.619 (0.620)	Data 0.001 (0.002)	Loss 1.7135 (1.6179)	Prec@1 52.500 (56.362)	Prec@5 84.000 (84.755)
Epoch: [87][2280/9018]	Time 0.613 (0.620)	Data 0.001 (0.002)	Loss 1.6473 (1.6181)	Prec@1 56.500 (56.364)	Prec@5 84.000 (84.751)
Epoch: [87][2290/9018]	Time 0.608 (0.620)	Data 0.001 (0.002)	Loss 1.6479 (1.6182)	Prec@1 55.000 (56.361)	Prec@5 84.000 (84.750)
Epoch: [87][2300/9018]	Time 0.631 (0.620)	Data 0.001 (0.002)	Loss 1.4633 (1.6179)	Prec@1 61.500 (56.366)	Prec@5 86.000 (84.754)
Epoch: [87][2310/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.7348 (1.6181)	Prec@1 54.500 (56.363)	Prec@5 83.000 (84.751)
Epoch: [87][2320/9018]	Time 0.611 (0.620)	Data 0.001 (0.002)	Loss 1.5186 (1.6180)	Prec@1 58.000 (56.364)	Prec@5 85.500 (84.751)
Epoch: [87][2330/9018]	Time 0.617 (0.620)	Data 0.001 (0.002)	Loss 1.5096 (1.6181)	Prec@1 57.500 (56.361)	Prec@5 85.000 (84.751)
Epoch: [87][2340/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.7486 (1.6183)	Prec@1 52.500 (56.354)	Prec@5 83.000 (84.753)
Epoch: [87][2350/9018]	Time 0.594 (0.620)	Data 0.001 (0.002)	Loss 1.7166 (1.6182)	Prec@1 56.000 (56.358)	Prec@5 82.500 (84.750)
Epoch: [87][2360/9018]	Time 0.609 (0.620)	Data 0.001 (0.002)	Loss 1.7653 (1.6185)	Prec@1 54.000 (56.350)	Prec@5 80.000 (84.745)
Epoch: [87][2370/9018]	Time 0.623 (0.620)	Data 0.001 (0.002)	Loss 1.5094 (1.6184)	Prec@1 59.500 (56.350)	Prec@5 83.500 (84.746)
Epoch: [87][2380/9018]	Time 0.592 (0.620)	Data 0.001 (0.002)	Loss 1.4477 (1.6182)	Prec@1 57.000 (56.354)	Prec@5 87.500 (84.748)
Epoch: [87][2390/9018]	Time 0.624 (0.620)	Data 0.001 (0.002)	Loss 1.7755 (1.6183)	Prec@1 52.500 (56.348)	Prec@5 82.000 (84.750)
Epoch: [87][2400/9018]	Time 0.595 (0.620)	Data 0.001 (0.002)	Loss 1.6942 (1.6186)	Prec@1 53.000 (56.343)	Prec@5 84.500 (84.745)
Epoch: [87][2410/9018]	Time 0.633 (0.620)	Data 0.001 (0.002)	Loss 1.4891 (1.6184)	Prec@1 55.500 (56.342)	Prec@5 90.500 (84.750)
Epoch: [87][2420/9018]	Time 0.599 (0.620)	Data 0.001 (0.002)	Loss 1.8839 (1.6188)	Prec@1 52.000 (56.331)	Prec@5 79.000 (84.743)
Epoch: [87][2430/9018]	Time 0.600 (0.620)	Data 0.001 (0.002)	Loss 1.5887 (1.6187)	Prec@1 58.000 (56.336)	Prec@5 86.500 (84.746)
Epoch: [87][2440/9018]	Time 0.757 (0.620)	Data 0.001 (0.002)	Loss 1.6688 (1.6189)	Prec@1 56.000 (56.331)	Prec@5 85.500 (84.743)
Epoch: [87][2450/9018]	Time 0.589 (0.620)	Data 0.001 (0.002)	Loss 1.7165 (1.6189)	Prec@1 54.500 (56.334)	Prec@5 82.500 (84.744)
Epoch: [87][2460/9018]	Time 0.598 (0.620)	Data 0.001 (0.002)	Loss 1.6371 (1.6189)	Prec@1 56.500 (56.334)	Prec@5 82.000 (84.742)
Epoch: [87][2470/9018]	Time 0.595 (0.620)	Data 0.001 (0.002)	Loss 1.6099 (1.6191)	Prec@1 54.500 (56.332)	Prec@5 83.000 (84.736)
Epoch: [87][2480/9018]	Time 0.599 (0.620)	Data 0.001 (0.002)	Loss 1.7001 (1.6192)	Prec@1 52.500 (56.332)	Prec@5 84.500 (84.734)
Epoch: [87][2490/9018]	Time 0.755 (0.620)	Data 0.001 (0.002)	Loss 1.4340 (1.6194)	Prec@1 58.000 (56.329)	Prec@5 88.500 (84.728)
Epoch: [87][2500/9018]	Time 0.600 (0.620)	Data 0.001 (0.002)	Loss 1.4820 (1.6194)	Prec@1 64.500 (56.327)	Prec@5 84.000 (84.726)
Epoch: [87][2510/9018]	Time 0.604 (0.620)	Data 0.001 (0.002)	Loss 1.7493 (1.6196)	Prec@1 49.500 (56.324)	Prec@5 85.000 (84.724)
Epoch: [87][2520/9018]	Time 0.603 (0.620)	Data 0.001 (0.002)	Loss 1.5747 (1.6195)	Prec@1 55.500 (56.328)	Prec@5 87.000 (84.726)
Epoch: [87][2530/9018]	Time 0.623 (0.620)	Data 0.001 (0.002)	Loss 1.6264 (1.6195)	Prec@1 55.000 (56.327)	Prec@5 86.000 (84.725)
Epoch: [87][2540/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.7502 (1.6196)	Prec@1 52.500 (56.319)	Prec@5 82.500 (84.725)
Epoch: [87][2550/9018]	Time 0.597 (0.620)	Data 0.001 (0.002)	Loss 1.4344 (1.6196)	Prec@1 63.500 (56.319)	Prec@5 86.500 (84.722)
Epoch: [87][2560/9018]	Time 0.614 (0.620)	Data 0.001 (0.002)	Loss 1.6041 (1.6197)	Prec@1 55.500 (56.316)	Prec@5 84.000 (84.718)
Epoch: [87][2570/9018]	Time 0.603 (0.619)	Data 0.001 (0.002)	Loss 1.7782 (1.6199)	Prec@1 49.500 (56.309)	Prec@5 84.000 (84.716)
Epoch: [87][2580/9018]	Time 0.598 (0.619)	Data 0.001 (0.002)	Loss 1.8013 (1.6199)	Prec@1 51.500 (56.314)	Prec@5 83.500 (84.717)
Epoch: [87][2590/9018]	Time 0.622 (0.619)	Data 0.001 (0.002)	Loss 1.7754 (1.6199)	Prec@1 56.500 (56.314)	Prec@5 78.500 (84.717)
Epoch: [87][2600/9018]	Time 0.602 (0.619)	Data 0.001 (0.002)	Loss 1.4319 (1.6201)	Prec@1 55.000 (56.311)	Prec@5 88.500 (84.717)
Epoch: [87][2610/9018]	Time 0.598 (0.619)	Data 0.001 (0.002)	Loss 1.5400 (1.6202)	Prec@1 58.000 (56.304)	Prec@5 87.000 (84.715)
Epoch: [87][2620/9018]	Time 0.599 (0.619)	Data 0.001 (0.002)	Loss 1.7311 (1.6205)	Prec@1 57.500 (56.295)	Prec@5 84.000 (84.714)
Epoch: [87][2630/9018]	Time 0.600 (0.619)	Data 0.001 (0.002)	Loss 1.7350 (1.6207)	Prec@1 54.500 (56.289)	Prec@5 83.500 (84.710)
Epoch: [87][2640/9018]	Time 0.621 (0.619)	Data 0.001 (0.002)	Loss 1.6451 (1.6208)	Prec@1 57.000 (56.290)	Prec@5 83.500 (84.711)
Epoch: [87][2650/9018]	Time 0.594 (0.619)	Data 0.001 (0.002)	Loss 1.7049 (1.6210)	Prec@1 55.000 (56.283)	Prec@5 85.000 (84.707)
Epoch: [87][2660/9018]	Time 0.623 (0.619)	Data 0.001 (0.002)	Loss 1.3834 (1.6208)	Prec@1 61.000 (56.283)	Prec@5 86.500 (84.708)
Epoch: [87][2670/9018]	Time 0.614 (0.619)	Data 0.001 (0.002)	Loss 1.3981 (1.6207)	Prec@1 60.500 (56.286)	Prec@5 88.500 (84.709)
Epoch: [87][2680/9018]	Time 0.634 (0.619)	Data 0.001 (0.002)	Loss 1.7016 (1.6208)	Prec@1 55.000 (56.289)	Prec@5 83.500 (84.705)
Epoch: [87][2690/9018]	Time 0.598 (0.619)	Data 0.001 (0.002)	Loss 1.5157 (1.6209)	Prec@1 61.500 (56.291)	Prec@5 86.500 (84.703)
Epoch: [87][2700/9018]	Time 0.626 (0.619)	Data 0.001 (0.002)	Loss 1.5678 (1.6209)	Prec@1 58.500 (56.286)	Prec@5 86.500 (84.706)
Epoch: [87][2710/9018]	Time 0.594 (0.619)	Data 0.001 (0.002)	Loss 1.6691 (1.6210)	Prec@1 54.500 (56.283)	Prec@5 84.000 (84.703)
Epoch: [87][2720/9018]	Time 0.613 (0.619)	Data 0.001 (0.002)	Loss 1.3424 (1.6210)	Prec@1 66.000 (56.287)	Prec@5 89.000 (84.700)
Epoch: [87][2730/9018]	Time 0.596 (0.619)	Data 0.001 (0.002)	Loss 1.7089 (1.6210)	Prec@1 54.000 (56.288)	Prec@5 81.500 (84.703)
Epoch: [87][2740/9018]	Time 0.618 (0.619)	Data 0.001 (0.002)	Loss 1.6477 (1.6210)	Prec@1 54.000 (56.289)	Prec@5 84.500 (84.704)
Epoch: [87][2750/9018]	Time 0.597 (0.619)	Data 0.001 (0.002)	Loss 1.6684 (1.6211)	Prec@1 60.000 (56.288)	Prec@5 86.000 (84.704)
Epoch: [87][2760/9018]	Time 0.599 (0.619)	Data 0.001 (0.002)	Loss 1.6192 (1.6210)	Prec@1 59.500 (56.295)	Prec@5 86.500 (84.705)
Epoch: [87][2770/9018]	Time 0.741 (0.619)	Data 0.001 (0.002)	Loss 1.3646 (1.6207)	Prec@1 66.500 (56.308)	Prec@5 86.000 (84.714)
Epoch: [87][2780/9018]	Time 0.601 (0.619)	Data 0.001 (0.002)	Loss 1.4849 (1.6208)	Prec@1 60.500 (56.305)	Prec@5 86.000 (84.714)
Epoch: [87][2790/9018]	Time 0.596 (0.619)	Data 0.001 (0.002)	Loss 1.5666 (1.6207)	Prec@1 59.500 (56.307)	Prec@5 85.000 (84.715)
Epoch: [87][2800/9018]	Time 0.633 (0.619)	Data 0.001 (0.002)	Loss 1.7043 (1.6208)	Prec@1 55.000 (56.306)	Prec@5 83.000 (84.713)
Epoch: [87][2810/9018]	Time 0.600 (0.619)	Data 0.001 (0.002)	Loss 1.5717 (1.6208)	Prec@1 58.500 (56.310)	Prec@5 84.000 (84.716)
Epoch: [87][2820/9018]	Time 0.735 (0.619)	Data 0.001 (0.002)	Loss 1.6706 (1.6208)	Prec@1 56.500 (56.307)	Prec@5 79.500 (84.715)
Epoch: [87][2830/9018]	Time 0.633 (0.619)	Data 0.001 (0.002)	Loss 1.6862 (1.6208)	Prec@1 56.000 (56.305)	Prec@5 83.500 (84.716)
Epoch: [87][2840/9018]	Time 0.595 (0.619)	Data 0.001 (0.002)	Loss 1.8117 (1.6209)	Prec@1 51.500 (56.305)	Prec@5 81.500 (84.714)
Epoch: [87][2850/9018]	Time 0.600 (0.619)	Data 0.001 (0.002)	Loss 1.7700 (1.6209)	Prec@1 54.000 (56.305)	Prec@5 83.500 (84.714)
Epoch: [87][2860/9018]	Time 0.605 (0.619)	Data 0.001 (0.002)	Loss 1.5732 (1.6210)	Prec@1 56.500 (56.302)	Prec@5 88.000 (84.716)
Epoch: [87][2870/9018]	Time 0.611 (0.619)	Data 0.001 (0.002)	Loss 1.6331 (1.6212)	Prec@1 54.000 (56.297)	Prec@5 88.000 (84.714)
Epoch: [87][2880/9018]	Time 0.609 (0.619)	Data 0.001 (0.002)	Loss 1.6095 (1.6211)	Prec@1 60.500 (56.298)	Prec@5 85.500 (84.716)
Epoch: [87][2890/9018]	Time 0.615 (0.619)	Data 0.001 (0.002)	Loss 1.4216 (1.6211)	Prec@1 59.500 (56.299)	Prec@5 90.500 (84.716)
Epoch: [87][2900/9018]	Time 0.625 (0.619)	Data 0.003 (0.002)	Loss 1.8364 (1.6212)	Prec@1 55.500 (56.295)	Prec@5 79.500 (84.714)
Epoch: [87][2910/9018]	Time 0.599 (0.619)	Data 0.001 (0.002)	Loss 1.7279 (1.6212)	Prec@1 52.000 (56.296)	Prec@5 85.000 (84.714)
Epoch: [87][2920/9018]	Time 0.606 (0.619)	Data 0.001 (0.002)	Loss 1.5666 (1.6211)	Prec@1 58.500 (56.295)	Prec@5 86.500 (84.718)
Epoch: [87][2930/9018]	Time 0.637 (0.619)	Data 0.001 (0.002)	Loss 1.7089 (1.6212)	Prec@1 54.000 (56.291)	Prec@5 83.500 (84.714)
Epoch: [87][2940/9018]	Time 0.607 (0.619)	Data 0.001 (0.002)	Loss 1.8624 (1.6214)	Prec@1 49.500 (56.283)	Prec@5 80.000 (84.710)
Epoch: [87][2950/9018]	Time 0.614 (0.619)	Data 0.001 (0.002)	Loss 1.6294 (1.6216)	Prec@1 58.500 (56.278)	Prec@5 83.500 (84.707)
Epoch: [87][2960/9018]	Time 0.600 (0.619)	Data 0.001 (0.002)	Loss 1.8645 (1.6216)	Prec@1 51.500 (56.276)	Prec@5 81.500 (84.707)
Epoch: [87][2970/9018]	Time 0.621 (0.619)	Data 0.001 (0.002)	Loss 1.7003 (1.6215)	Prec@1 58.000 (56.278)	Prec@5 81.500 (84.705)
Epoch: [87][2980/9018]	Time 0.601 (0.619)	Data 0.001 (0.002)	Loss 1.7832 (1.6216)	Prec@1 52.000 (56.273)	Prec@5 83.500 (84.705)
Epoch: [87][2990/9018]	Time 0.625 (0.619)	Data 0.001 (0.002)	Loss 1.6312 (1.6217)	Prec@1 51.000 (56.279)	Prec@5 84.500 (84.703)
Epoch: [87][3000/9018]	Time 0.596 (0.619)	Data 0.001 (0.002)	Loss 1.5833 (1.6215)	Prec@1 60.500 (56.284)	Prec@5 81.000 (84.706)
Epoch: [87][3010/9018]	Time 0.600 (0.619)	Data 0.001 (0.002)	Loss 1.5325 (1.6215)	Prec@1 57.500 (56.284)	Prec@5 86.000 (84.706)
Epoch: [87][3020/9018]	Time 0.612 (0.619)	Data 0.001 (0.002)	Loss 1.6471 (1.6216)	Prec@1 55.000 (56.280)	Prec@5 85.500 (84.706)
Epoch: [87][3030/9018]	Time 0.601 (0.619)	Data 0.001 (0.002)	Loss 1.6613 (1.6216)	Prec@1 54.500 (56.279)	Prec@5 83.000 (84.702)
Epoch: [87][3040/9018]	Time 0.592 (0.619)	Data 0.001 (0.002)	Loss 1.5624 (1.6216)	Prec@1 58.500 (56.278)	Prec@5 86.000 (84.701)
Epoch: [87][3050/9018]	Time 0.599 (0.619)	Data 0.001 (0.002)	Loss 1.6302 (1.6217)	Prec@1 52.000 (56.277)	Prec@5 87.500 (84.704)
Epoch: [87][3060/9018]	Time 0.615 (0.619)	Data 0.001 (0.002)	Loss 1.7107 (1.6216)	Prec@1 53.000 (56.275)	Prec@5 83.000 (84.708)
Epoch: [87][3070/9018]	Time 0.599 (0.619)	Data 0.001 (0.002)	Loss 1.7345 (1.6218)	Prec@1 53.500 (56.268)	Prec@5 80.500 (84.705)
Epoch: [87][3080/9018]	Time 0.610 (0.619)	Data 0.001 (0.002)	Loss 1.4967 (1.6216)	Prec@1 58.000 (56.271)	Prec@5 88.500 (84.709)
Epoch: [87][3090/9018]	Time 0.604 (0.619)	Data 0.001 (0.002)	Loss 1.6665 (1.6219)	Prec@1 58.000 (56.269)	Prec@5 84.500 (84.703)
Epoch: [87][3100/9018]	Time 0.767 (0.619)	Data 0.001 (0.002)	Loss 1.4812 (1.6218)	Prec@1 63.000 (56.274)	Prec@5 85.500 (84.706)
Epoch: [87][3110/9018]	Time 0.616 (0.619)	Data 0.001 (0.002)	Loss 1.6129 (1.6218)	Prec@1 57.500 (56.269)	Prec@5 81.500 (84.706)
Epoch: [87][3120/9018]	Time 0.594 (0.619)	Data 0.001 (0.002)	Loss 1.6888 (1.6221)	Prec@1 55.500 (56.264)	Prec@5 85.500 (84.702)
Epoch: [87][3130/9018]	Time 0.606 (0.619)	Data 0.001 (0.002)	Loss 1.6615 (1.6223)	Prec@1 54.000 (56.261)	Prec@5 82.500 (84.698)
Epoch: [87][3140/9018]	Time 0.593 (0.619)	Data 0.001 (0.002)	Loss 1.7990 (1.6223)	Prec@1 51.000 (56.260)	Prec@5 84.500 (84.701)
Epoch: [87][3150/9018]	Time 0.726 (0.619)	Data 0.001 (0.002)	Loss 1.4689 (1.6222)	Prec@1 63.500 (56.262)	Prec@5 87.000 (84.702)
Epoch: [87][3160/9018]	Time 0.604 (0.619)	Data 0.001 (0.002)	Loss 1.4885 (1.6223)	Prec@1 55.000 (56.257)	Prec@5 88.000 (84.704)
Epoch: [87][3170/9018]	Time 0.612 (0.619)	Data 0.001 (0.002)	Loss 1.6283 (1.6223)	Prec@1 54.000 (56.256)	Prec@5 86.000 (84.705)
Epoch: [87][3180/9018]	Time 0.607 (0.619)	Data 0.001 (0.002)	Loss 1.6893 (1.6222)	Prec@1 55.000 (56.258)	Prec@5 85.500 (84.702)
Epoch: [87][3190/9018]	Time 0.645 (0.619)	Data 0.001 (0.002)	Loss 1.5268 (1.6222)	Prec@1 57.500 (56.256)	Prec@5 85.000 (84.700)
Epoch: [87][3200/9018]	Time 0.620 (0.619)	Data 0.001 (0.002)	Loss 1.8158 (1.6224)	Prec@1 50.500 (56.252)	Prec@5 80.500 (84.700)
Epoch: [87][3210/9018]	Time 0.590 (0.619)	Data 0.001 (0.002)	Loss 1.7321 (1.6224)	Prec@1 54.500 (56.256)	Prec@5 82.500 (84.700)
Epoch: [87][3220/9018]	Time 0.617 (0.619)	Data 0.001 (0.002)	Loss 1.5514 (1.6222)	Prec@1 54.000 (56.260)	Prec@5 87.000 (84.706)
Epoch: [87][3230/9018]	Time 0.603 (0.619)	Data 0.001 (0.002)	Loss 1.6481 (1.6223)	Prec@1 59.000 (56.257)	Prec@5 82.500 (84.703)
Epoch: [87][3240/9018]	Time 0.594 (0.619)	Data 0.001 (0.002)	Loss 1.8231 (1.6224)	Prec@1 52.000 (56.254)	Prec@5 79.500 (84.698)
Epoch: [87][3250/9018]	Time 0.601 (0.619)	Data 0.001 (0.002)	Loss 1.7429 (1.6223)	Prec@1 51.500 (56.256)	Prec@5 83.000 (84.702)
Epoch: [87][3260/9018]	Time 0.595 (0.619)	Data 0.001 (0.002)	Loss 1.4930 (1.6223)	Prec@1 59.500 (56.256)	Prec@5 89.500 (84.703)
Epoch: [87][3270/9018]	Time 0.613 (0.619)	Data 0.001 (0.002)	Loss 1.8539 (1.6223)	Prec@1 51.500 (56.258)	Prec@5 82.000 (84.702)
Epoch: [87][3280/9018]	Time 0.607 (0.619)	Data 0.001 (0.002)	Loss 1.6314 (1.6224)	Prec@1 60.000 (56.259)	Prec@5 81.500 (84.698)
Epoch: [87][3290/9018]	Time 0.597 (0.619)	Data 0.001 (0.002)	Loss 1.5157 (1.6223)	Prec@1 59.000 (56.262)	Prec@5 85.000 (84.701)
Epoch: [87][3300/9018]	Time 0.601 (0.619)	Data 0.001 (0.002)	Loss 1.5568 (1.6222)	Prec@1 54.000 (56.262)	Prec@5 90.000 (84.704)
Epoch: [87][3310/9018]	Time 0.633 (0.619)	Data 0.001 (0.002)	Loss 1.7063 (1.6222)	Prec@1 55.000 (56.265)	Prec@5 85.500 (84.706)
Epoch: [87][3320/9018]	Time 0.593 (0.619)	Data 0.001 (0.002)	Loss 1.3554 (1.6223)	Prec@1 61.500 (56.261)	Prec@5 88.500 (84.706)
Epoch: [87][3330/9018]	Time 0.602 (0.619)	Data 0.001 (0.002)	Loss 1.5296 (1.6222)	Prec@1 59.000 (56.262)	Prec@5 83.000 (84.708)
Epoch: [87][3340/9018]	Time 0.594 (0.619)	Data 0.001 (0.002)	Loss 1.6259 (1.6220)	Prec@1 55.500 (56.265)	Prec@5 86.000 (84.714)
Epoch: [87][3350/9018]	Time 0.627 (0.619)	Data 0.001 (0.002)	Loss 1.7035 (1.6220)	Prec@1 56.000 (56.265)	Prec@5 83.000 (84.712)
Epoch: [87][3360/9018]	Time 0.591 (0.619)	Data 0.001 (0.002)	Loss 1.5859 (1.6219)	Prec@1 55.000 (56.266)	Prec@5 88.500 (84.714)
Epoch: [87][3370/9018]	Time 0.608 (0.619)	Data 0.001 (0.002)	Loss 1.8043 (1.6219)	Prec@1 51.500 (56.266)	Prec@5 79.500 (84.712)
Epoch: [87][3380/9018]	Time 0.637 (0.619)	Data 0.001 (0.002)	Loss 1.5997 (1.6218)	Prec@1 54.000 (56.268)	Prec@5 85.000 (84.716)
Epoch: [87][3390/9018]	Time 0.601 (0.619)	Data 0.001 (0.002)	Loss 1.8328 (1.6220)	Prec@1 52.500 (56.262)	Prec@5 83.000 (84.713)
Epoch: [87][3400/9018]	Time 0.595 (0.619)	Data 0.001 (0.002)	Loss 1.6208 (1.6220)	Prec@1 57.000 (56.262)	Prec@5 86.000 (84.712)
Epoch: [87][3410/9018]	Time 0.620 (0.619)	Data 0.001 (0.002)	Loss 1.7013 (1.6221)	Prec@1 53.500 (56.258)	Prec@5 83.500 (84.710)
Epoch: [87][3420/9018]	Time 0.604 (0.619)	Data 0.001 (0.002)	Loss 1.6474 (1.6220)	Prec@1 55.500 (56.259)	Prec@5 84.500 (84.711)
Epoch: [87][3430/9018]	Time 0.740 (0.619)	Data 0.001 (0.002)	Loss 1.6294 (1.6221)	Prec@1 55.500 (56.258)	Prec@5 82.500 (84.710)
Epoch: [87][3440/9018]	Time 0.596 (0.619)	Data 0.001 (0.002)	Loss 1.7146 (1.6221)	Prec@1 52.000 (56.256)	Prec@5 83.500 (84.710)
Epoch: [87][3450/9018]	Time 0.594 (0.619)	Data 0.001 (0.002)	Loss 1.5486 (1.6222)	Prec@1 56.000 (56.254)	Prec@5 86.000 (84.706)
Epoch: [87][3460/9018]	Time 0.631 (0.618)	Data 0.001 (0.002)	Loss 1.5833 (1.6220)	Prec@1 56.000 (56.256)	Prec@5 83.500 (84.709)
Epoch: [87][3470/9018]	Time 0.635 (0.618)	Data 0.001 (0.002)	Loss 1.6093 (1.6220)	Prec@1 56.500 (56.254)	Prec@5 82.500 (84.708)
Epoch: [87][3480/9018]	Time 0.739 (0.618)	Data 0.001 (0.002)	Loss 1.6177 (1.6219)	Prec@1 57.000 (56.254)	Prec@5 85.000 (84.711)
Epoch: [87][3490/9018]	Time 0.621 (0.618)	Data 0.001 (0.002)	Loss 1.5046 (1.6218)	Prec@1 57.000 (56.254)	Prec@5 87.500 (84.712)
Epoch: [87][3500/9018]	Time 0.615 (0.618)	Data 0.001 (0.002)	Loss 1.9333 (1.6220)	Prec@1 53.500 (56.254)	Prec@5 79.500 (84.710)
Epoch: [87][3510/9018]	Time 0.591 (0.618)	Data 0.001 (0.002)	Loss 1.6963 (1.6219)	Prec@1 58.500 (56.257)	Prec@5 84.500 (84.710)
Epoch: [87][3520/9018]	Time 0.599 (0.618)	Data 0.001 (0.002)	Loss 1.7575 (1.6217)	Prec@1 54.000 (56.262)	Prec@5 84.000 (84.715)
Epoch: [87][3530/9018]	Time 0.649 (0.618)	Data 0.001 (0.002)	Loss 1.7052 (1.6218)	Prec@1 56.000 (56.254)	Prec@5 84.000 (84.716)
Epoch: [87][3540/9018]	Time 0.589 (0.618)	Data 0.001 (0.002)	Loss 1.5145 (1.6218)	Prec@1 61.500 (56.255)	Prec@5 87.500 (84.714)
Epoch: [87][3550/9018]	Time 0.606 (0.618)	Data 0.001 (0.002)	Loss 1.3635 (1.6219)	Prec@1 66.500 (56.253)	Prec@5 87.500 (84.712)
Epoch: [87][3560/9018]	Time 0.619 (0.618)	Data 0.001 (0.002)	Loss 1.5280 (1.6221)	Prec@1 54.000 (56.253)	Prec@5 89.500 (84.710)
Epoch: [87][3570/9018]	Time 0.606 (0.618)	Data 0.001 (0.002)	Loss 1.6882 (1.6221)	Prec@1 60.000 (56.253)	Prec@5 85.500 (84.706)
Epoch: [87][3580/9018]	Time 0.611 (0.618)	Data 0.001 (0.002)	Loss 1.7352 (1.6223)	Prec@1 51.000 (56.248)	Prec@5 82.000 (84.705)
Epoch: [87][3590/9018]	Time 0.598 (0.618)	Data 0.001 (0.002)	Loss 1.5867 (1.6223)	Prec@1 55.500 (56.246)	Prec@5 84.000 (84.705)
Epoch: [87][3600/9018]	Time 0.618 (0.618)	Data 0.001 (0.002)	Loss 1.7424 (1.6223)	Prec@1 56.000 (56.251)	Prec@5 82.500 (84.705)
Epoch: [87][3610/9018]	Time 0.604 (0.618)	Data 0.001 (0.002)	Loss 1.7303 (1.6224)	Prec@1 59.000 (56.253)	Prec@5 79.500 (84.702)
Epoch: [87][3620/9018]	Time 0.600 (0.618)	Data 0.001 (0.002)	Loss 1.7456 (1.6225)	Prec@1 52.500 (56.248)	Prec@5 81.500 (84.700)
Epoch: [87][3630/9018]	Time 0.603 (0.618)	Data 0.001 (0.002)	Loss 1.6106 (1.6226)	Prec@1 57.000 (56.250)	Prec@5 85.000 (84.700)
Epoch: [87][3640/9018]	Time 0.631 (0.618)	Data 0.001 (0.002)	Loss 1.6978 (1.6228)	Prec@1 56.500 (56.250)	Prec@5 84.000 (84.697)
Epoch: [87][3650/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.7821 (1.6229)	Prec@1 52.000 (56.246)	Prec@5 80.500 (84.693)
Epoch: [87][3660/9018]	Time 0.616 (0.618)	Data 0.001 (0.001)	Loss 1.7214 (1.6230)	Prec@1 55.000 (56.242)	Prec@5 80.000 (84.692)
Epoch: [87][3670/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.6273 (1.6230)	Prec@1 58.500 (56.240)	Prec@5 83.500 (84.692)
Epoch: [87][3680/9018]	Time 0.590 (0.618)	Data 0.001 (0.001)	Loss 1.5555 (1.6228)	Prec@1 59.500 (56.246)	Prec@5 86.500 (84.696)
Epoch: [87][3690/9018]	Time 0.601 (0.618)	Data 0.001 (0.001)	Loss 1.5642 (1.6227)	Prec@1 58.000 (56.247)	Prec@5 87.000 (84.698)
Epoch: [87][3700/9018]	Time 0.607 (0.618)	Data 0.001 (0.001)	Loss 1.7544 (1.6227)	Prec@1 51.500 (56.243)	Prec@5 83.500 (84.697)
Epoch: [87][3710/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.5798 (1.6227)	Prec@1 57.000 (56.246)	Prec@5 87.500 (84.698)
Epoch: [87][3720/9018]	Time 0.610 (0.618)	Data 0.001 (0.001)	Loss 1.8140 (1.6229)	Prec@1 54.500 (56.241)	Prec@5 79.500 (84.696)
Epoch: [87][3730/9018]	Time 0.620 (0.618)	Data 0.001 (0.001)	Loss 1.5994 (1.6229)	Prec@1 59.500 (56.239)	Prec@5 83.500 (84.696)
Epoch: [87][3740/9018]	Time 0.594 (0.618)	Data 0.001 (0.001)	Loss 1.4427 (1.6228)	Prec@1 59.500 (56.238)	Prec@5 88.500 (84.700)
Epoch: [87][3750/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.7760 (1.6229)	Prec@1 57.000 (56.237)	Prec@5 80.500 (84.701)
Epoch: [87][3760/9018]	Time 0.723 (0.618)	Data 0.001 (0.001)	Loss 1.6499 (1.6229)	Prec@1 53.000 (56.240)	Prec@5 86.000 (84.702)
Epoch: [87][3770/9018]	Time 0.587 (0.618)	Data 0.001 (0.001)	Loss 1.6127 (1.6230)	Prec@1 54.500 (56.235)	Prec@5 86.500 (84.702)
Epoch: [87][3780/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.5789 (1.6230)	Prec@1 57.500 (56.235)	Prec@5 84.500 (84.700)
Epoch: [87][3790/9018]	Time 0.595 (0.618)	Data 0.001 (0.001)	Loss 1.7261 (1.6231)	Prec@1 51.500 (56.230)	Prec@5 81.500 (84.696)
Epoch: [87][3800/9018]	Time 0.622 (0.618)	Data 0.001 (0.001)	Loss 1.7329 (1.6232)	Prec@1 57.000 (56.228)	Prec@5 85.000 (84.694)
Epoch: [87][3810/9018]	Time 0.731 (0.618)	Data 0.001 (0.001)	Loss 1.7880 (1.6233)	Prec@1 55.000 (56.226)	Prec@5 81.000 (84.693)
Epoch: [87][3820/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.5780 (1.6232)	Prec@1 59.000 (56.228)	Prec@5 86.500 (84.694)
Epoch: [87][3830/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.5476 (1.6231)	Prec@1 57.000 (56.227)	Prec@5 87.500 (84.697)
Epoch: [87][3840/9018]	Time 0.617 (0.618)	Data 0.001 (0.001)	Loss 1.8781 (1.6229)	Prec@1 50.500 (56.229)	Prec@5 79.500 (84.700)
Epoch: [87][3850/9018]	Time 0.590 (0.618)	Data 0.001 (0.001)	Loss 1.7393 (1.6228)	Prec@1 54.500 (56.230)	Prec@5 82.000 (84.704)
Epoch: [87][3860/9018]	Time 0.595 (0.618)	Data 0.001 (0.001)	Loss 1.6494 (1.6229)	Prec@1 58.000 (56.227)	Prec@5 82.000 (84.702)
Epoch: [87][3870/9018]	Time 0.624 (0.618)	Data 0.001 (0.001)	Loss 1.5923 (1.6230)	Prec@1 58.000 (56.223)	Prec@5 87.500 (84.702)
Epoch: [87][3880/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.5293 (1.6228)	Prec@1 60.000 (56.227)	Prec@5 85.500 (84.703)
Epoch: [87][3890/9018]	Time 0.615 (0.618)	Data 0.001 (0.001)	Loss 1.5104 (1.6229)	Prec@1 55.000 (56.225)	Prec@5 86.500 (84.701)
Epoch: [87][3900/9018]	Time 0.626 (0.618)	Data 0.001 (0.001)	Loss 1.5037 (1.6228)	Prec@1 58.500 (56.226)	Prec@5 86.500 (84.702)
Epoch: [87][3910/9018]	Time 0.618 (0.618)	Data 0.001 (0.001)	Loss 1.5399 (1.6227)	Prec@1 56.000 (56.230)	Prec@5 87.500 (84.704)
Epoch: [87][3920/9018]	Time 0.639 (0.618)	Data 0.001 (0.001)	Loss 1.4813 (1.6228)	Prec@1 59.000 (56.229)	Prec@5 86.500 (84.701)
Epoch: [87][3930/9018]	Time 0.594 (0.618)	Data 0.001 (0.001)	Loss 1.4910 (1.6227)	Prec@1 63.000 (56.229)	Prec@5 86.000 (84.700)
Epoch: [87][3940/9018]	Time 0.594 (0.618)	Data 0.001 (0.001)	Loss 1.5442 (1.6229)	Prec@1 57.000 (56.225)	Prec@5 87.000 (84.696)
Epoch: [87][3950/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.5630 (1.6230)	Prec@1 58.000 (56.222)	Prec@5 85.500 (84.692)
Epoch: [87][3960/9018]	Time 0.601 (0.618)	Data 0.001 (0.001)	Loss 1.4799 (1.6228)	Prec@1 61.000 (56.223)	Prec@5 86.000 (84.693)
Epoch: [87][3970/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.6528 (1.6228)	Prec@1 55.500 (56.223)	Prec@5 82.500 (84.695)
Epoch: [87][3980/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.8505 (1.6229)	Prec@1 51.500 (56.220)	Prec@5 80.500 (84.693)
Epoch: [87][3990/9018]	Time 0.629 (0.618)	Data 0.001 (0.001)	Loss 1.4318 (1.6229)	Prec@1 60.000 (56.215)	Prec@5 89.000 (84.694)
Epoch: [87][4000/9018]	Time 0.629 (0.618)	Data 0.001 (0.001)	Loss 1.6252 (1.6228)	Prec@1 56.500 (56.221)	Prec@5 83.000 (84.695)
Epoch: [87][4010/9018]	Time 0.591 (0.618)	Data 0.001 (0.001)	Loss 1.6755 (1.6230)	Prec@1 55.500 (56.219)	Prec@5 83.000 (84.693)
Epoch: [87][4020/9018]	Time 0.609 (0.618)	Data 0.001 (0.001)	Loss 1.4312 (1.6229)	Prec@1 61.500 (56.219)	Prec@5 89.000 (84.695)
Epoch: [87][4030/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.5374 (1.6227)	Prec@1 60.500 (56.227)	Prec@5 84.500 (84.696)
Epoch: [87][4040/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.7271 (1.6228)	Prec@1 51.000 (56.224)	Prec@5 84.000 (84.694)
Epoch: [87][4050/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.6683 (1.6228)	Prec@1 54.500 (56.223)	Prec@5 84.500 (84.693)
Epoch: [87][4060/9018]	Time 0.605 (0.618)	Data 0.001 (0.001)	Loss 1.6155 (1.6229)	Prec@1 55.500 (56.223)	Prec@5 84.000 (84.690)
Epoch: [87][4070/9018]	Time 0.590 (0.618)	Data 0.001 (0.001)	Loss 1.6573 (1.6230)	Prec@1 52.500 (56.221)	Prec@5 83.500 (84.690)
Epoch: [87][4080/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.6076 (1.6230)	Prec@1 54.500 (56.217)	Prec@5 83.500 (84.689)
Epoch: [87][4090/9018]	Time 0.751 (0.618)	Data 0.001 (0.001)	Loss 1.8010 (1.6232)	Prec@1 52.000 (56.214)	Prec@5 80.000 (84.687)
Epoch: [87][4100/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.7180 (1.6234)	Prec@1 51.500 (56.211)	Prec@5 84.000 (84.682)
Epoch: [87][4110/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.5030 (1.6234)	Prec@1 58.000 (56.213)	Prec@5 87.500 (84.683)
Epoch: [87][4120/9018]	Time 0.621 (0.618)	Data 0.001 (0.001)	Loss 1.7917 (1.6234)	Prec@1 49.500 (56.212)	Prec@5 84.500 (84.684)
Epoch: [87][4130/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.7960 (1.6235)	Prec@1 51.000 (56.209)	Prec@5 81.500 (84.682)
Epoch: [87][4140/9018]	Time 0.751 (0.618)	Data 0.001 (0.001)	Loss 1.5699 (1.6234)	Prec@1 57.500 (56.214)	Prec@5 83.500 (84.683)
Epoch: [87][4150/9018]	Time 0.618 (0.618)	Data 0.001 (0.001)	Loss 1.9567 (1.6237)	Prec@1 48.000 (56.208)	Prec@5 80.000 (84.681)
Epoch: [87][4160/9018]	Time 0.621 (0.618)	Data 0.001 (0.001)	Loss 1.4912 (1.6236)	Prec@1 57.500 (56.214)	Prec@5 84.000 (84.681)
Epoch: [87][4170/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.7719 (1.6236)	Prec@1 52.500 (56.210)	Prec@5 85.000 (84.681)
Epoch: [87][4180/9018]	Time 0.617 (0.618)	Data 0.001 (0.001)	Loss 1.5701 (1.6237)	Prec@1 60.000 (56.211)	Prec@5 83.500 (84.681)
Epoch: [87][4190/9018]	Time 0.632 (0.618)	Data 0.001 (0.001)	Loss 1.6596 (1.6237)	Prec@1 51.500 (56.210)	Prec@5 81.000 (84.682)
Epoch: [87][4200/9018]	Time 0.621 (0.618)	Data 0.001 (0.001)	Loss 1.9650 (1.6239)	Prec@1 52.500 (56.207)	Prec@5 77.500 (84.676)
Epoch: [87][4210/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.8408 (1.6240)	Prec@1 53.000 (56.206)	Prec@5 78.500 (84.674)
Epoch: [87][4220/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.7334 (1.6239)	Prec@1 51.500 (56.209)	Prec@5 85.500 (84.676)
Epoch: [87][4230/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.8984 (1.6238)	Prec@1 50.500 (56.209)	Prec@5 83.000 (84.680)
Epoch: [87][4240/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.8533 (1.6238)	Prec@1 50.000 (56.206)	Prec@5 77.500 (84.677)
Epoch: [87][4250/9018]	Time 0.635 (0.618)	Data 0.001 (0.001)	Loss 1.6770 (1.6239)	Prec@1 54.000 (56.205)	Prec@5 86.000 (84.677)
Epoch: [87][4260/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.4842 (1.6239)	Prec@1 60.500 (56.205)	Prec@5 87.500 (84.678)
Epoch: [87][4270/9018]	Time 0.618 (0.618)	Data 0.001 (0.001)	Loss 1.6584 (1.6238)	Prec@1 55.000 (56.206)	Prec@5 83.000 (84.679)
Epoch: [87][4280/9018]	Time 0.605 (0.618)	Data 0.001 (0.001)	Loss 1.5365 (1.6238)	Prec@1 56.000 (56.203)	Prec@5 88.500 (84.680)
Epoch: [87][4290/9018]	Time 0.609 (0.618)	Data 0.001 (0.001)	Loss 1.6706 (1.6239)	Prec@1 53.000 (56.199)	Prec@5 86.000 (84.676)
Epoch: [87][4300/9018]	Time 0.635 (0.618)	Data 0.001 (0.001)	Loss 1.5754 (1.6240)	Prec@1 60.000 (56.200)	Prec@5 82.500 (84.674)
Epoch: [87][4310/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.7982 (1.6240)	Prec@1 55.000 (56.199)	Prec@5 84.500 (84.674)
Epoch: [87][4320/9018]	Time 0.627 (0.618)	Data 0.001 (0.001)	Loss 1.6033 (1.6240)	Prec@1 52.500 (56.199)	Prec@5 85.500 (84.676)
Epoch: [87][4330/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.6766 (1.6240)	Prec@1 60.500 (56.201)	Prec@5 82.000 (84.675)
Epoch: [87][4340/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.6831 (1.6240)	Prec@1 58.000 (56.203)	Prec@5 85.000 (84.676)
Epoch: [87][4350/9018]	Time 0.628 (0.618)	Data 0.001 (0.001)	Loss 1.5172 (1.6239)	Prec@1 58.500 (56.206)	Prec@5 86.000 (84.677)
Epoch: [87][4360/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.6074 (1.6238)	Prec@1 55.000 (56.209)	Prec@5 85.000 (84.678)
Epoch: [87][4370/9018]	Time 0.743 (0.618)	Data 0.001 (0.001)	Loss 1.6085 (1.6238)	Prec@1 60.500 (56.209)	Prec@5 84.500 (84.677)
Epoch: [87][4380/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.4944 (1.6238)	Prec@1 60.500 (56.207)	Prec@5 85.500 (84.678)
Epoch: [87][4390/9018]	Time 0.612 (0.618)	Data 0.001 (0.001)	Loss 1.7304 (1.6237)	Prec@1 52.500 (56.210)	Prec@5 82.500 (84.679)
Epoch: [87][4400/9018]	Time 0.611 (0.618)	Data 0.001 (0.001)	Loss 1.7375 (1.6236)	Prec@1 48.500 (56.213)	Prec@5 82.500 (84.681)
Epoch: [87][4410/9018]	Time 0.594 (0.618)	Data 0.001 (0.001)	Loss 1.6783 (1.6236)	Prec@1 57.000 (56.213)	Prec@5 83.500 (84.681)
Epoch: [87][4420/9018]	Time 0.727 (0.618)	Data 0.001 (0.001)	Loss 1.8803 (1.6237)	Prec@1 49.000 (56.212)	Prec@5 81.000 (84.678)
Epoch: [87][4430/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.5836 (1.6237)	Prec@1 54.500 (56.213)	Prec@5 85.500 (84.677)
Epoch: [87][4440/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.7297 (1.6236)	Prec@1 51.500 (56.212)	Prec@5 80.500 (84.679)
Epoch: [87][4450/9018]	Time 0.637 (0.618)	Data 0.001 (0.001)	Loss 1.6093 (1.6236)	Prec@1 60.500 (56.211)	Prec@5 82.000 (84.678)
Epoch: [87][4460/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.5474 (1.6235)	Prec@1 59.000 (56.212)	Prec@5 87.500 (84.678)
Epoch: [87][4470/9018]	Time 0.593 (0.618)	Data 0.001 (0.001)	Loss 1.5352 (1.6236)	Prec@1 60.500 (56.212)	Prec@5 86.500 (84.677)
Epoch: [87][4480/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.5839 (1.6237)	Prec@1 57.500 (56.212)	Prec@5 85.500 (84.674)
Epoch: [87][4490/9018]	Time 0.632 (0.618)	Data 0.001 (0.001)	Loss 1.8361 (1.6237)	Prec@1 55.500 (56.213)	Prec@5 78.500 (84.671)
Epoch: [87][4500/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.6687 (1.6237)	Prec@1 56.500 (56.212)	Prec@5 81.500 (84.671)
Epoch: [87][4510/9018]	Time 0.619 (0.618)	Data 0.001 (0.001)	Loss 1.7001 (1.6238)	Prec@1 51.500 (56.212)	Prec@5 79.500 (84.670)
Epoch: [87][4520/9018]	Time 0.591 (0.618)	Data 0.001 (0.001)	Loss 1.5249 (1.6238)	Prec@1 58.500 (56.209)	Prec@5 87.000 (84.669)
Epoch: [87][4530/9018]	Time 0.634 (0.618)	Data 0.001 (0.001)	Loss 1.6580 (1.6238)	Prec@1 57.000 (56.211)	Prec@5 84.000 (84.670)
Epoch: [87][4540/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.5752 (1.6238)	Prec@1 56.500 (56.211)	Prec@5 85.500 (84.671)
Epoch: [87][4550/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.5213 (1.6238)	Prec@1 54.500 (56.211)	Prec@5 87.000 (84.669)
Epoch: [87][4560/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.7255 (1.6240)	Prec@1 52.000 (56.207)	Prec@5 81.000 (84.666)
Epoch: [87][4570/9018]	Time 0.617 (0.618)	Data 0.001 (0.001)	Loss 1.4896 (1.6241)	Prec@1 60.500 (56.203)	Prec@5 84.500 (84.665)
Epoch: [87][4580/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.7199 (1.6241)	Prec@1 58.000 (56.205)	Prec@5 80.500 (84.664)
Epoch: [87][4590/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.7045 (1.6242)	Prec@1 51.500 (56.205)	Prec@5 84.000 (84.663)
Epoch: [87][4600/9018]	Time 0.630 (0.618)	Data 0.001 (0.001)	Loss 1.5801 (1.6241)	Prec@1 57.500 (56.207)	Prec@5 85.000 (84.665)
Epoch: [87][4610/9018]	Time 0.593 (0.618)	Data 0.001 (0.001)	Loss 1.6756 (1.6242)	Prec@1 56.000 (56.205)	Prec@5 83.500 (84.664)
Epoch: [87][4620/9018]	Time 0.631 (0.618)	Data 0.001 (0.001)	Loss 1.6812 (1.6242)	Prec@1 53.500 (56.205)	Prec@5 84.000 (84.665)
Epoch: [87][4630/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.8415 (1.6241)	Prec@1 50.000 (56.206)	Prec@5 80.000 (84.665)
Epoch: [87][4640/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.8714 (1.6240)	Prec@1 53.000 (56.209)	Prec@5 78.500 (84.667)
Epoch: [87][4650/9018]	Time 0.614 (0.618)	Data 0.001 (0.001)	Loss 1.4185 (1.6241)	Prec@1 59.000 (56.208)	Prec@5 87.500 (84.667)
Epoch: [87][4660/9018]	Time 0.632 (0.618)	Data 0.001 (0.001)	Loss 1.7805 (1.6240)	Prec@1 48.000 (56.207)	Prec@5 82.500 (84.668)
Epoch: [87][4670/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.7533 (1.6240)	Prec@1 54.000 (56.206)	Prec@5 82.000 (84.669)
Epoch: [87][4680/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.7368 (1.6240)	Prec@1 55.500 (56.208)	Prec@5 82.500 (84.669)
Epoch: [87][4690/9018]	Time 0.594 (0.618)	Data 0.001 (0.001)	Loss 1.5082 (1.6238)	Prec@1 57.500 (56.211)	Prec@5 86.500 (84.670)
Epoch: [87][4700/9018]	Time 0.772 (0.618)	Data 0.001 (0.001)	Loss 1.5489 (1.6238)	Prec@1 51.500 (56.212)	Prec@5 88.000 (84.670)
Epoch: [87][4710/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.4918 (1.6238)	Prec@1 59.000 (56.213)	Prec@5 86.500 (84.670)
Epoch: [87][4720/9018]	Time 0.590 (0.618)	Data 0.001 (0.001)	Loss 1.6304 (1.6237)	Prec@1 56.500 (56.216)	Prec@5 86.000 (84.673)
Epoch: [87][4730/9018]	Time 0.624 (0.618)	Data 0.001 (0.001)	Loss 1.6918 (1.6236)	Prec@1 56.000 (56.216)	Prec@5 83.000 (84.674)
Epoch: [87][4740/9018]	Time 0.607 (0.618)	Data 0.001 (0.001)	Loss 1.5451 (1.6237)	Prec@1 55.500 (56.216)	Prec@5 84.500 (84.673)
Epoch: [87][4750/9018]	Time 0.763 (0.618)	Data 0.001 (0.001)	Loss 1.6997 (1.6237)	Prec@1 55.000 (56.216)	Prec@5 83.000 (84.671)
Epoch: [87][4760/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.6105 (1.6238)	Prec@1 54.500 (56.216)	Prec@5 86.000 (84.668)
Epoch: [87][4770/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.6538 (1.6237)	Prec@1 56.500 (56.217)	Prec@5 84.500 (84.669)
Epoch: [87][4780/9018]	Time 0.630 (0.618)	Data 0.001 (0.001)	Loss 1.8344 (1.6239)	Prec@1 48.500 (56.214)	Prec@5 84.000 (84.666)
Epoch: [87][4790/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.4964 (1.6239)	Prec@1 61.500 (56.215)	Prec@5 88.500 (84.667)
Epoch: [87][4800/9018]	Time 0.631 (0.618)	Data 0.001 (0.001)	Loss 1.7225 (1.6240)	Prec@1 53.000 (56.213)	Prec@5 84.500 (84.664)
Epoch: [87][4810/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.7003 (1.6241)	Prec@1 53.000 (56.210)	Prec@5 86.000 (84.664)
Epoch: [87][4820/9018]	Time 0.629 (0.618)	Data 0.001 (0.001)	Loss 1.7345 (1.6240)	Prec@1 51.000 (56.210)	Prec@5 82.500 (84.664)
Epoch: [87][4830/9018]	Time 0.595 (0.618)	Data 0.001 (0.001)	Loss 1.7795 (1.6240)	Prec@1 54.000 (56.211)	Prec@5 83.000 (84.663)
Epoch: [87][4840/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.7752 (1.6241)	Prec@1 50.500 (56.208)	Prec@5 81.000 (84.663)
Epoch: [87][4850/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.6297 (1.6241)	Prec@1 52.000 (56.206)	Prec@5 85.500 (84.662)
Epoch: [87][4860/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.6851 (1.6240)	Prec@1 56.000 (56.206)	Prec@5 83.500 (84.662)
Epoch: [87][4870/9018]	Time 0.593 (0.618)	Data 0.001 (0.001)	Loss 1.7562 (1.6242)	Prec@1 48.000 (56.202)	Prec@5 80.500 (84.658)
Epoch: [87][4880/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.6464 (1.6241)	Prec@1 58.000 (56.202)	Prec@5 82.500 (84.659)
Epoch: [87][4890/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.6614 (1.6242)	Prec@1 58.000 (56.200)	Prec@5 84.000 (84.657)
Epoch: [87][4900/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.6854 (1.6242)	Prec@1 54.000 (56.196)	Prec@5 85.500 (84.658)
Epoch: [87][4910/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.4747 (1.6242)	Prec@1 59.500 (56.197)	Prec@5 90.000 (84.660)
Epoch: [87][4920/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.9184 (1.6242)	Prec@1 50.500 (56.194)	Prec@5 79.500 (84.660)
Epoch: [87][4930/9018]	Time 0.626 (0.618)	Data 0.001 (0.001)	Loss 1.8391 (1.6243)	Prec@1 51.000 (56.195)	Prec@5 84.000 (84.659)
Epoch: [87][4940/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.5552 (1.6243)	Prec@1 59.500 (56.194)	Prec@5 87.000 (84.660)
Epoch: [87][4950/9018]	Time 0.614 (0.618)	Data 0.001 (0.001)	Loss 1.6707 (1.6243)	Prec@1 56.000 (56.193)	Prec@5 86.000 (84.660)
Epoch: [87][4960/9018]	Time 0.634 (0.618)	Data 0.001 (0.001)	Loss 1.5182 (1.6242)	Prec@1 56.000 (56.194)	Prec@5 86.000 (84.661)
Epoch: [87][4970/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.4834 (1.6242)	Prec@1 60.500 (56.195)	Prec@5 87.500 (84.661)
Epoch: [87][4980/9018]	Time 0.636 (0.618)	Data 0.001 (0.001)	Loss 1.6868 (1.6242)	Prec@1 55.000 (56.196)	Prec@5 80.000 (84.659)
Epoch: [87][4990/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.6217 (1.6242)	Prec@1 54.500 (56.197)	Prec@5 84.500 (84.658)
Epoch: [87][5000/9018]	Time 0.614 (0.618)	Data 0.001 (0.001)	Loss 1.5964 (1.6243)	Prec@1 55.000 (56.196)	Prec@5 85.500 (84.660)
Epoch: [87][5010/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.9261 (1.6244)	Prec@1 47.500 (56.194)	Prec@5 82.000 (84.656)
Epoch: [87][5020/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.5805 (1.6244)	Prec@1 55.500 (56.194)	Prec@5 85.500 (84.657)
Epoch: [87][5030/9018]	Time 0.811 (0.618)	Data 0.001 (0.001)	Loss 1.5911 (1.6245)	Prec@1 55.500 (56.193)	Prec@5 87.500 (84.656)
Epoch: [87][5040/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.6362 (1.6246)	Prec@1 54.500 (56.192)	Prec@5 85.000 (84.655)
Epoch: [87][5050/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.7889 (1.6247)	Prec@1 53.000 (56.189)	Prec@5 82.000 (84.652)
Epoch: [87][5060/9018]	Time 0.617 (0.618)	Data 0.001 (0.001)	Loss 1.8262 (1.6246)	Prec@1 53.000 (56.192)	Prec@5 79.500 (84.653)
Epoch: [87][5070/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.6217 (1.6247)	Prec@1 58.000 (56.191)	Prec@5 85.000 (84.651)
Epoch: [87][5080/9018]	Time 0.732 (0.618)	Data 0.001 (0.001)	Loss 1.8328 (1.6247)	Prec@1 52.000 (56.189)	Prec@5 79.500 (84.650)
Epoch: [87][5090/9018]	Time 0.614 (0.618)	Data 0.001 (0.001)	Loss 1.5484 (1.6248)	Prec@1 58.000 (56.189)	Prec@5 84.500 (84.647)
Epoch: [87][5100/9018]	Time 0.601 (0.618)	Data 0.001 (0.001)	Loss 1.6023 (1.6248)	Prec@1 57.500 (56.190)	Prec@5 82.500 (84.647)
Epoch: [87][5110/9018]	Time 0.624 (0.618)	Data 0.001 (0.001)	Loss 1.5958 (1.6247)	Prec@1 56.000 (56.192)	Prec@5 87.000 (84.647)
Epoch: [87][5120/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.4872 (1.6247)	Prec@1 59.000 (56.192)	Prec@5 86.500 (84.648)
Epoch: [87][5130/9018]	Time 0.622 (0.618)	Data 0.001 (0.001)	Loss 1.6594 (1.6248)	Prec@1 48.500 (56.189)	Prec@5 85.500 (84.645)
Epoch: [87][5140/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.5892 (1.6247)	Prec@1 57.000 (56.192)	Prec@5 84.500 (84.645)
Epoch: [87][5150/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.6014 (1.6247)	Prec@1 61.000 (56.196)	Prec@5 82.500 (84.645)
Epoch: [87][5160/9018]	Time 0.620 (0.618)	Data 0.001 (0.001)	Loss 1.4811 (1.6248)	Prec@1 59.500 (56.194)	Prec@5 88.500 (84.647)
Epoch: [87][5170/9018]	Time 0.594 (0.618)	Data 0.001 (0.001)	Loss 1.7186 (1.6247)	Prec@1 56.000 (56.195)	Prec@5 82.000 (84.646)
Epoch: [87][5180/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.6631 (1.6249)	Prec@1 55.000 (56.191)	Prec@5 87.000 (84.644)
Epoch: [87][5190/9018]	Time 0.618 (0.618)	Data 0.001 (0.001)	Loss 1.5108 (1.6249)	Prec@1 62.000 (56.193)	Prec@5 89.000 (84.644)
Epoch: [87][5200/9018]	Time 0.589 (0.618)	Data 0.001 (0.001)	Loss 1.6727 (1.6250)	Prec@1 52.500 (56.191)	Prec@5 82.500 (84.643)
Epoch: [87][5210/9018]	Time 0.616 (0.618)	Data 0.001 (0.001)	Loss 1.9218 (1.6251)	Prec@1 53.500 (56.187)	Prec@5 79.000 (84.640)
Epoch: [87][5220/9018]	Time 0.589 (0.618)	Data 0.001 (0.001)	Loss 1.7856 (1.6252)	Prec@1 52.000 (56.186)	Prec@5 83.000 (84.641)
Epoch: [87][5230/9018]	Time 0.601 (0.618)	Data 0.001 (0.001)	Loss 1.7404 (1.6251)	Prec@1 54.500 (56.188)	Prec@5 86.500 (84.639)
Epoch: [87][5240/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.8187 (1.6252)	Prec@1 51.500 (56.186)	Prec@5 79.500 (84.640)
Epoch: [87][5250/9018]	Time 0.628 (0.618)	Data 0.001 (0.001)	Loss 1.5271 (1.6252)	Prec@1 66.000 (56.190)	Prec@5 86.000 (84.640)
Epoch: [87][5260/9018]	Time 0.628 (0.618)	Data 0.001 (0.001)	Loss 1.5920 (1.6253)	Prec@1 54.000 (56.190)	Prec@5 87.000 (84.639)
Epoch: [87][5270/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.6223 (1.6252)	Prec@1 56.000 (56.191)	Prec@5 84.000 (84.639)
Epoch: [87][5280/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.6165 (1.6252)	Prec@1 57.500 (56.190)	Prec@5 82.000 (84.639)
Epoch: [87][5290/9018]	Time 0.618 (0.618)	Data 0.001 (0.001)	Loss 1.5996 (1.6252)	Prec@1 56.500 (56.189)	Prec@5 85.000 (84.638)
Epoch: [87][5300/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.6853 (1.6251)	Prec@1 56.500 (56.193)	Prec@5 83.000 (84.639)
Epoch: [87][5310/9018]	Time 0.587 (0.618)	Data 0.001 (0.001)	Loss 1.8109 (1.6252)	Prec@1 52.000 (56.189)	Prec@5 82.000 (84.638)
Epoch: [87][5320/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.5108 (1.6252)	Prec@1 58.500 (56.189)	Prec@5 85.500 (84.639)
Epoch: [87][5330/9018]	Time 0.637 (0.618)	Data 0.001 (0.001)	Loss 1.6654 (1.6252)	Prec@1 53.000 (56.188)	Prec@5 86.000 (84.639)
Epoch: [87][5340/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.6032 (1.6251)	Prec@1 59.000 (56.188)	Prec@5 86.500 (84.642)
Epoch: [87][5350/9018]	Time 0.623 (0.618)	Data 0.001 (0.001)	Loss 1.5418 (1.6251)	Prec@1 56.000 (56.188)	Prec@5 85.500 (84.643)
Epoch: [87][5360/9018]	Time 0.741 (0.618)	Data 0.001 (0.001)	Loss 1.8258 (1.6252)	Prec@1 51.500 (56.186)	Prec@5 84.000 (84.642)
Epoch: [87][5370/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.7690 (1.6252)	Prec@1 54.000 (56.186)	Prec@5 80.000 (84.641)
Epoch: [87][5380/9018]	Time 0.590 (0.618)	Data 0.001 (0.001)	Loss 1.6026 (1.6253)	Prec@1 54.000 (56.183)	Prec@5 86.000 (84.638)
Epoch: [87][5390/9018]	Time 0.617 (0.618)	Data 0.001 (0.001)	Loss 1.5340 (1.6252)	Prec@1 57.500 (56.184)	Prec@5 84.500 (84.639)
Epoch: [87][5400/9018]	Time 0.595 (0.618)	Data 0.001 (0.001)	Loss 1.3706 (1.6251)	Prec@1 59.500 (56.186)	Prec@5 89.000 (84.642)
Epoch: [87][5410/9018]	Time 0.713 (0.618)	Data 0.001 (0.001)	Loss 1.6133 (1.6252)	Prec@1 56.500 (56.186)	Prec@5 83.500 (84.640)
Epoch: [87][5420/9018]	Time 0.601 (0.618)	Data 0.001 (0.001)	Loss 1.4964 (1.6252)	Prec@1 57.500 (56.183)	Prec@5 85.000 (84.638)
Epoch: [87][5430/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.9197 (1.6253)	Prec@1 51.000 (56.182)	Prec@5 78.500 (84.637)
Epoch: [87][5440/9018]	Time 0.591 (0.618)	Data 0.001 (0.001)	Loss 1.5585 (1.6253)	Prec@1 58.000 (56.184)	Prec@5 87.500 (84.638)
Epoch: [87][5450/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.5654 (1.6253)	Prec@1 60.000 (56.188)	Prec@5 85.000 (84.638)
Epoch: [87][5460/9018]	Time 0.612 (0.618)	Data 0.001 (0.001)	Loss 1.5553 (1.6255)	Prec@1 59.000 (56.182)	Prec@5 83.500 (84.632)
Epoch: [87][5470/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.6270 (1.6256)	Prec@1 55.000 (56.178)	Prec@5 85.500 (84.630)
Epoch: [87][5480/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.5720 (1.6255)	Prec@1 58.500 (56.178)	Prec@5 88.000 (84.630)
Epoch: [87][5490/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.3968 (1.6255)	Prec@1 66.000 (56.179)	Prec@5 86.000 (84.629)
Epoch: [87][5500/9018]	Time 0.609 (0.618)	Data 0.001 (0.001)	Loss 1.5713 (1.6256)	Prec@1 60.000 (56.176)	Prec@5 86.000 (84.629)
Epoch: [87][5510/9018]	Time 0.615 (0.618)	Data 0.001 (0.001)	Loss 1.5176 (1.6256)	Prec@1 57.500 (56.176)	Prec@5 86.000 (84.628)
Epoch: [87][5520/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.6491 (1.6256)	Prec@1 56.000 (56.175)	Prec@5 83.500 (84.628)
Epoch: [87][5530/9018]	Time 0.593 (0.618)	Data 0.001 (0.001)	Loss 1.6326 (1.6256)	Prec@1 59.000 (56.177)	Prec@5 81.000 (84.627)
Epoch: [87][5540/9018]	Time 0.608 (0.618)	Data 0.001 (0.001)	Loss 1.6807 (1.6257)	Prec@1 56.500 (56.176)	Prec@5 82.500 (84.627)
Epoch: [87][5550/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.3035 (1.6256)	Prec@1 64.000 (56.179)	Prec@5 91.000 (84.628)
Epoch: [87][5560/9018]	Time 0.618 (0.618)	Data 0.001 (0.001)	Loss 1.6795 (1.6257)	Prec@1 54.000 (56.176)	Prec@5 85.500 (84.626)
Epoch: [87][5570/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.6682 (1.6259)	Prec@1 53.000 (56.172)	Prec@5 86.500 (84.625)
Epoch: [87][5580/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.6936 (1.6260)	Prec@1 55.000 (56.171)	Prec@5 84.000 (84.623)
Epoch: [87][5590/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.7680 (1.6261)	Prec@1 53.000 (56.169)	Prec@5 82.500 (84.623)
Epoch: [87][5600/9018]	Time 0.629 (0.618)	Data 0.001 (0.001)	Loss 1.6563 (1.6262)	Prec@1 51.000 (56.164)	Prec@5 84.000 (84.620)
Epoch: [87][5610/9018]	Time 0.594 (0.618)	Data 0.001 (0.001)	Loss 1.5647 (1.6262)	Prec@1 53.000 (56.162)	Prec@5 88.500 (84.620)
Epoch: [87][5620/9018]	Time 0.630 (0.618)	Data 0.001 (0.001)	Loss 1.6002 (1.6261)	Prec@1 59.500 (56.164)	Prec@5 83.500 (84.622)
Epoch: [87][5630/9018]	Time 0.595 (0.618)	Data 0.001 (0.001)	Loss 1.5871 (1.6262)	Prec@1 57.500 (56.163)	Prec@5 84.500 (84.621)
Epoch: [87][5640/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.6890 (1.6261)	Prec@1 56.500 (56.162)	Prec@5 83.500 (84.622)
Epoch: [87][5650/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.7382 (1.6261)	Prec@1 54.000 (56.162)	Prec@5 83.000 (84.621)
Epoch: [87][5660/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.4563 (1.6262)	Prec@1 60.000 (56.162)	Prec@5 87.500 (84.620)
Epoch: [87][5670/9018]	Time 0.609 (0.618)	Data 0.001 (0.001)	Loss 1.6667 (1.6263)	Prec@1 56.000 (56.161)	Prec@5 84.000 (84.618)
Epoch: [87][5680/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.7164 (1.6263)	Prec@1 51.000 (56.161)	Prec@5 83.500 (84.617)
Epoch: [87][5690/9018]	Time 0.778 (0.618)	Data 0.001 (0.001)	Loss 1.7684 (1.6264)	Prec@1 52.500 (56.159)	Prec@5 80.500 (84.616)
Epoch: [87][5700/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.7079 (1.6264)	Prec@1 55.000 (56.160)	Prec@5 82.000 (84.616)
Epoch: [87][5710/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.5400 (1.6264)	Prec@1 59.000 (56.161)	Prec@5 83.500 (84.617)
Epoch: [87][5720/9018]	Time 0.608 (0.618)	Data 0.001 (0.001)	Loss 1.3707 (1.6264)	Prec@1 62.000 (56.160)	Prec@5 89.500 (84.617)
Epoch: [87][5730/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.5537 (1.6264)	Prec@1 56.500 (56.161)	Prec@5 85.500 (84.616)
Epoch: [87][5740/9018]	Time 0.729 (0.618)	Data 0.001 (0.001)	Loss 1.6463 (1.6264)	Prec@1 56.500 (56.162)	Prec@5 82.500 (84.617)
Epoch: [87][5750/9018]	Time 0.627 (0.618)	Data 0.001 (0.001)	Loss 1.6609 (1.6263)	Prec@1 47.500 (56.162)	Prec@5 84.000 (84.621)
Epoch: [87][5760/9018]	Time 0.632 (0.618)	Data 0.001 (0.001)	Loss 1.6393 (1.6263)	Prec@1 55.500 (56.159)	Prec@5 85.500 (84.622)
Epoch: [87][5770/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.6619 (1.6264)	Prec@1 56.000 (56.158)	Prec@5 83.500 (84.619)
Epoch: [87][5780/9018]	Time 0.634 (0.618)	Data 0.001 (0.001)	Loss 1.6134 (1.6264)	Prec@1 56.500 (56.156)	Prec@5 84.000 (84.617)
Epoch: [87][5790/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.4203 (1.6263)	Prec@1 59.500 (56.157)	Prec@5 90.000 (84.619)
Epoch: [87][5800/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.6512 (1.6263)	Prec@1 55.500 (56.160)	Prec@5 81.000 (84.619)
Epoch: [87][5810/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.6920 (1.6263)	Prec@1 57.500 (56.157)	Prec@5 85.000 (84.619)
Epoch: [87][5820/9018]	Time 0.621 (0.618)	Data 0.001 (0.001)	Loss 1.6481 (1.6264)	Prec@1 56.000 (56.158)	Prec@5 85.500 (84.619)
Epoch: [87][5830/9018]	Time 0.612 (0.618)	Data 0.001 (0.001)	Loss 1.6494 (1.6265)	Prec@1 53.500 (56.156)	Prec@5 85.000 (84.616)
Epoch: [87][5840/9018]	Time 0.616 (0.618)	Data 0.001 (0.001)	Loss 1.5901 (1.6264)	Prec@1 60.500 (56.160)	Prec@5 84.000 (84.616)
Epoch: [87][5850/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.4628 (1.6265)	Prec@1 62.000 (56.159)	Prec@5 90.000 (84.616)
Epoch: [87][5860/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.7840 (1.6265)	Prec@1 51.000 (56.158)	Prec@5 83.000 (84.615)
Epoch: [87][5870/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.5742 (1.6266)	Prec@1 54.500 (56.157)	Prec@5 85.000 (84.614)
Epoch: [87][5880/9018]	Time 0.593 (0.618)	Data 0.001 (0.001)	Loss 1.6943 (1.6265)	Prec@1 53.000 (56.158)	Prec@5 84.500 (84.616)
Epoch: [87][5890/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.6820 (1.6265)	Prec@1 50.500 (56.157)	Prec@5 84.000 (84.616)
Epoch: [87][5900/9018]	Time 0.606 (0.618)	Data 0.002 (0.001)	Loss 1.4540 (1.6265)	Prec@1 57.000 (56.158)	Prec@5 88.500 (84.618)
Epoch: [87][5910/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.5525 (1.6265)	Prec@1 61.000 (56.156)	Prec@5 84.000 (84.619)
Epoch: [87][5920/9018]	Time 0.628 (0.618)	Data 0.001 (0.001)	Loss 1.4741 (1.6266)	Prec@1 64.000 (56.158)	Prec@5 86.000 (84.617)
Epoch: [87][5930/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.7807 (1.6266)	Prec@1 53.000 (56.157)	Prec@5 82.000 (84.617)
Epoch: [87][5940/9018]	Time 0.624 (0.618)	Data 0.001 (0.001)	Loss 1.4698 (1.6266)	Prec@1 56.000 (56.156)	Prec@5 89.500 (84.616)
Epoch: [87][5950/9018]	Time 0.601 (0.618)	Data 0.001 (0.001)	Loss 1.6785 (1.6267)	Prec@1 54.000 (56.154)	Prec@5 86.000 (84.615)
Epoch: [87][5960/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.7811 (1.6266)	Prec@1 56.500 (56.157)	Prec@5 81.500 (84.617)
Epoch: [87][5970/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.5660 (1.6266)	Prec@1 57.500 (56.159)	Prec@5 86.500 (84.618)
Epoch: [87][5980/9018]	Time 0.601 (0.618)	Data 0.001 (0.001)	Loss 1.6259 (1.6265)	Prec@1 61.500 (56.160)	Prec@5 84.000 (84.618)
Epoch: [87][5990/9018]	Time 0.623 (0.618)	Data 0.001 (0.001)	Loss 1.4959 (1.6265)	Prec@1 58.000 (56.160)	Prec@5 86.000 (84.619)
Epoch: [87][6000/9018]	Time 0.595 (0.618)	Data 0.001 (0.001)	Loss 1.5712 (1.6266)	Prec@1 55.000 (56.160)	Prec@5 87.000 (84.620)
Epoch: [87][6010/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.4722 (1.6265)	Prec@1 57.500 (56.160)	Prec@5 89.500 (84.623)
Epoch: [87][6020/9018]	Time 0.748 (0.618)	Data 0.001 (0.001)	Loss 1.5978 (1.6265)	Prec@1 57.000 (56.160)	Prec@5 85.500 (84.623)
Epoch: [87][6030/9018]	Time 0.594 (0.618)	Data 0.001 (0.001)	Loss 1.8835 (1.6266)	Prec@1 50.000 (56.158)	Prec@5 80.000 (84.623)
Epoch: [87][6040/9018]	Time 0.631 (0.618)	Data 0.001 (0.001)	Loss 1.6402 (1.6266)	Prec@1 58.000 (56.161)	Prec@5 84.500 (84.623)
Epoch: [87][6050/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.7233 (1.6266)	Prec@1 51.500 (56.160)	Prec@5 83.500 (84.622)
Epoch: [87][6060/9018]	Time 0.597 (0.618)	Data 0.001 (0.001)	Loss 1.5658 (1.6265)	Prec@1 52.500 (56.163)	Prec@5 84.500 (84.622)
Epoch: [87][6070/9018]	Time 0.714 (0.618)	Data 0.001 (0.001)	Loss 1.7174 (1.6266)	Prec@1 55.000 (56.160)	Prec@5 82.500 (84.620)
Epoch: [87][6080/9018]	Time 0.614 (0.618)	Data 0.001 (0.001)	Loss 1.7941 (1.6267)	Prec@1 50.000 (56.156)	Prec@5 83.500 (84.620)
Epoch: [87][6090/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.8442 (1.6267)	Prec@1 50.500 (56.154)	Prec@5 82.000 (84.619)
Epoch: [87][6100/9018]	Time 0.608 (0.618)	Data 0.001 (0.001)	Loss 1.8136 (1.6267)	Prec@1 51.000 (56.158)	Prec@5 83.000 (84.620)
Epoch: [87][6110/9018]	Time 0.606 (0.618)	Data 0.001 (0.001)	Loss 1.6186 (1.6267)	Prec@1 54.500 (56.156)	Prec@5 81.000 (84.619)
Epoch: [87][6120/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.6488 (1.6267)	Prec@1 55.000 (56.156)	Prec@5 84.500 (84.619)
Epoch: [87][6130/9018]	Time 0.607 (0.618)	Data 0.001 (0.001)	Loss 1.8340 (1.6266)	Prec@1 57.000 (56.156)	Prec@5 79.500 (84.620)
Epoch: [87][6140/9018]	Time 0.617 (0.618)	Data 0.001 (0.001)	Loss 1.7763 (1.6266)	Prec@1 54.500 (56.156)	Prec@5 83.000 (84.621)
Epoch: [87][6150/9018]	Time 0.593 (0.618)	Data 0.001 (0.001)	Loss 1.5450 (1.6266)	Prec@1 55.500 (56.155)	Prec@5 89.500 (84.620)
Epoch: [87][6160/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.5960 (1.6267)	Prec@1 58.500 (56.155)	Prec@5 83.500 (84.619)
Epoch: [87][6170/9018]	Time 0.627 (0.618)	Data 0.001 (0.001)	Loss 1.7537 (1.6267)	Prec@1 52.500 (56.153)	Prec@5 84.500 (84.619)
Epoch: [87][6180/9018]	Time 0.621 (0.618)	Data 0.001 (0.001)	Loss 1.6699 (1.6267)	Prec@1 59.000 (56.155)	Prec@5 82.000 (84.619)
Epoch: [87][6190/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.6145 (1.6268)	Prec@1 57.000 (56.154)	Prec@5 84.000 (84.618)
Epoch: [87][6200/9018]	Time 0.651 (0.618)	Data 0.001 (0.001)	Loss 1.6039 (1.6269)	Prec@1 54.000 (56.152)	Prec@5 84.500 (84.617)
Epoch: [87][6210/9018]	Time 0.593 (0.618)	Data 0.001 (0.001)	Loss 1.8009 (1.6270)	Prec@1 53.500 (56.149)	Prec@5 80.500 (84.614)
Epoch: [87][6220/9018]	Time 0.641 (0.618)	Data 0.001 (0.001)	Loss 1.5291 (1.6270)	Prec@1 57.000 (56.147)	Prec@5 85.000 (84.613)
Epoch: [87][6230/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.5969 (1.6270)	Prec@1 59.000 (56.146)	Prec@5 85.500 (84.614)
Epoch: [87][6240/9018]	Time 0.603 (0.618)	Data 0.001 (0.001)	Loss 1.6482 (1.6270)	Prec@1 56.500 (56.147)	Prec@5 86.000 (84.614)
Epoch: [87][6250/9018]	Time 0.593 (0.618)	Data 0.001 (0.001)	Loss 1.5737 (1.6270)	Prec@1 56.000 (56.149)	Prec@5 86.000 (84.614)
Epoch: [87][6260/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.6560 (1.6270)	Prec@1 54.500 (56.149)	Prec@5 85.000 (84.615)
Epoch: [87][6270/9018]	Time 0.592 (0.618)	Data 0.001 (0.001)	Loss 1.7153 (1.6270)	Prec@1 56.500 (56.149)	Prec@5 81.000 (84.614)
Epoch: [87][6280/9018]	Time 0.629 (0.618)	Data 0.001 (0.001)	Loss 1.6979 (1.6270)	Prec@1 52.500 (56.148)	Prec@5 86.000 (84.614)
Epoch: [87][6290/9018]	Time 0.600 (0.618)	Data 0.001 (0.001)	Loss 1.8075 (1.6270)	Prec@1 49.000 (56.149)	Prec@5 79.500 (84.612)
Epoch: [87][6300/9018]	Time 0.628 (0.618)	Data 0.001 (0.001)	Loss 1.6761 (1.6271)	Prec@1 57.000 (56.148)	Prec@5 83.500 (84.609)
Epoch: [87][6310/9018]	Time 0.604 (0.618)	Data 0.001 (0.001)	Loss 1.6369 (1.6272)	Prec@1 57.000 (56.146)	Prec@5 85.000 (84.609)
Epoch: [87][6320/9018]	Time 0.613 (0.618)	Data 0.001 (0.001)	Loss 1.7858 (1.6272)	Prec@1 56.000 (56.143)	Prec@5 80.500 (84.609)
Epoch: [87][6330/9018]	Time 0.608 (0.618)	Data 0.001 (0.001)	Loss 1.6091 (1.6273)	Prec@1 51.000 (56.142)	Prec@5 84.000 (84.607)
Epoch: [87][6340/9018]	Time 0.599 (0.618)	Data 0.001 (0.001)	Loss 1.5468 (1.6273)	Prec@1 58.500 (56.142)	Prec@5 83.500 (84.608)
Epoch: [87][6350/9018]	Time 0.732 (0.618)	Data 0.001 (0.001)	Loss 1.6262 (1.6273)	Prec@1 54.500 (56.143)	Prec@5 83.000 (84.607)
Epoch: [87][6360/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 1.5878 (1.6273)	Prec@1 56.000 (56.145)	Prec@5 85.500 (84.608)
Epoch: [87][6370/9018]	Time 0.592 (0.617)	Data 0.001 (0.001)	Loss 1.6547 (1.6273)	Prec@1 58.000 (56.144)	Prec@5 87.000 (84.607)
Epoch: [87][6380/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.6988 (1.6273)	Prec@1 54.500 (56.147)	Prec@5 84.000 (84.608)
Epoch: [87][6390/9018]	Time 0.633 (0.618)	Data 0.003 (0.001)	Loss 1.5558 (1.6272)	Prec@1 60.000 (56.149)	Prec@5 83.500 (84.608)
Epoch: [87][6400/9018]	Time 0.726 (0.618)	Data 0.001 (0.001)	Loss 1.4165 (1.6272)	Prec@1 59.000 (56.148)	Prec@5 88.000 (84.608)
Epoch: [87][6410/9018]	Time 0.634 (0.618)	Data 0.001 (0.001)	Loss 1.5957 (1.6272)	Prec@1 59.000 (56.147)	Prec@5 84.500 (84.608)
Epoch: [87][6420/9018]	Time 0.611 (0.618)	Data 0.001 (0.001)	Loss 1.6519 (1.6272)	Prec@1 56.500 (56.148)	Prec@5 82.500 (84.608)
Epoch: [87][6430/9018]	Time 0.596 (0.618)	Data 0.001 (0.001)	Loss 1.5004 (1.6272)	Prec@1 61.000 (56.145)	Prec@5 88.500 (84.607)
Epoch: [87][6440/9018]	Time 0.611 (0.618)	Data 0.001 (0.001)	Loss 1.4812 (1.6272)	Prec@1 63.000 (56.148)	Prec@5 87.000 (84.608)
Epoch: [87][6450/9018]	Time 0.602 (0.618)	Data 0.001 (0.001)	Loss 1.5771 (1.6271)	Prec@1 58.000 (56.149)	Prec@5 88.500 (84.608)
Epoch: [87][6460/9018]	Time 0.619 (0.618)	Data 0.001 (0.001)	Loss 1.6032 (1.6272)	Prec@1 54.000 (56.146)	Prec@5 86.000 (84.605)
Epoch: [87][6470/9018]	Time 0.632 (0.618)	Data 0.001 (0.001)	Loss 1.7547 (1.6272)	Prec@1 56.000 (56.147)	Prec@5 82.500 (84.605)
Epoch: [87][6480/9018]	Time 0.598 (0.618)	Data 0.001 (0.001)	Loss 1.8033 (1.6272)	Prec@1 51.500 (56.149)	Prec@5 82.000 (84.605)
Epoch: [87][6490/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 1.8027 (1.6273)	Prec@1 57.500 (56.147)	Prec@5 80.500 (84.602)
Epoch: [87][6500/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.7441 (1.6274)	Prec@1 58.500 (56.145)	Prec@5 83.000 (84.600)
Epoch: [87][6510/9018]	Time 0.627 (0.617)	Data 0.001 (0.001)	Loss 1.7698 (1.6275)	Prec@1 53.000 (56.145)	Prec@5 83.500 (84.600)
Epoch: [87][6520/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 1.7924 (1.6275)	Prec@1 49.500 (56.145)	Prec@5 82.500 (84.599)
Epoch: [87][6530/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 1.7027 (1.6275)	Prec@1 52.500 (56.144)	Prec@5 85.500 (84.600)
Epoch: [87][6540/9018]	Time 0.630 (0.617)	Data 0.003 (0.001)	Loss 1.7289 (1.6275)	Prec@1 56.000 (56.144)	Prec@5 84.000 (84.600)
Epoch: [87][6550/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.5195 (1.6275)	Prec@1 62.500 (56.144)	Prec@5 87.500 (84.600)
Epoch: [87][6560/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.6739 (1.6275)	Prec@1 56.500 (56.146)	Prec@5 83.000 (84.599)
Epoch: [87][6570/9018]	Time 0.597 (0.617)	Data 0.001 (0.001)	Loss 1.5528 (1.6275)	Prec@1 57.500 (56.146)	Prec@5 86.000 (84.599)
Epoch: [87][6580/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.4890 (1.6275)	Prec@1 59.500 (56.146)	Prec@5 86.000 (84.599)
Epoch: [87][6590/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.6732 (1.6276)	Prec@1 53.000 (56.144)	Prec@5 86.000 (84.598)
Epoch: [87][6600/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.4140 (1.6275)	Prec@1 64.500 (56.145)	Prec@5 85.000 (84.598)
Epoch: [87][6610/9018]	Time 0.591 (0.617)	Data 0.001 (0.001)	Loss 1.5856 (1.6275)	Prec@1 59.500 (56.146)	Prec@5 87.000 (84.597)
Epoch: [87][6620/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.4432 (1.6275)	Prec@1 57.500 (56.146)	Prec@5 86.500 (84.597)
Epoch: [87][6630/9018]	Time 0.625 (0.617)	Data 0.001 (0.001)	Loss 1.4116 (1.6274)	Prec@1 63.500 (56.149)	Prec@5 86.500 (84.598)
Epoch: [87][6640/9018]	Time 0.597 (0.617)	Data 0.001 (0.001)	Loss 1.6946 (1.6274)	Prec@1 49.500 (56.148)	Prec@5 83.000 (84.598)
Epoch: [87][6650/9018]	Time 0.588 (0.617)	Data 0.001 (0.001)	Loss 1.6995 (1.6273)	Prec@1 56.000 (56.149)	Prec@5 82.000 (84.600)
Epoch: [87][6660/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.5937 (1.6272)	Prec@1 60.000 (56.152)	Prec@5 83.500 (84.602)
Epoch: [87][6670/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.5193 (1.6273)	Prec@1 59.500 (56.152)	Prec@5 85.000 (84.602)
Epoch: [87][6680/9018]	Time 0.781 (0.617)	Data 0.001 (0.001)	Loss 1.7407 (1.6272)	Prec@1 51.000 (56.151)	Prec@5 85.000 (84.603)
Epoch: [87][6690/9018]	Time 0.629 (0.617)	Data 0.001 (0.001)	Loss 1.6882 (1.6274)	Prec@1 52.000 (56.149)	Prec@5 85.500 (84.601)
Epoch: [87][6700/9018]	Time 0.617 (0.617)	Data 0.001 (0.001)	Loss 1.7805 (1.6274)	Prec@1 50.000 (56.149)	Prec@5 81.000 (84.600)
Epoch: [87][6710/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.7117 (1.6272)	Prec@1 55.000 (56.150)	Prec@5 84.000 (84.603)
Epoch: [87][6720/9018]	Time 0.627 (0.617)	Data 0.001 (0.001)	Loss 1.6207 (1.6272)	Prec@1 56.500 (56.153)	Prec@5 86.500 (84.605)
Epoch: [87][6730/9018]	Time 0.752 (0.617)	Data 0.001 (0.001)	Loss 1.6458 (1.6271)	Prec@1 56.000 (56.153)	Prec@5 84.500 (84.605)
Epoch: [87][6740/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.6525 (1.6271)	Prec@1 55.500 (56.153)	Prec@5 83.500 (84.606)
Epoch: [87][6750/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 1.5892 (1.6272)	Prec@1 50.000 (56.151)	Prec@5 86.000 (84.605)
Epoch: [87][6760/9018]	Time 0.638 (0.617)	Data 0.001 (0.001)	Loss 1.9322 (1.6273)	Prec@1 52.000 (56.148)	Prec@5 80.000 (84.605)
Epoch: [87][6770/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.7107 (1.6274)	Prec@1 55.000 (56.146)	Prec@5 85.000 (84.604)
Epoch: [87][6780/9018]	Time 0.628 (0.617)	Data 0.001 (0.001)	Loss 1.5779 (1.6274)	Prec@1 57.000 (56.146)	Prec@5 85.500 (84.603)
Epoch: [87][6790/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.7135 (1.6273)	Prec@1 54.500 (56.145)	Prec@5 83.500 (84.604)
Epoch: [87][6800/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.7493 (1.6273)	Prec@1 58.000 (56.146)	Prec@5 81.000 (84.603)
Epoch: [87][6810/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.5726 (1.6274)	Prec@1 56.000 (56.145)	Prec@5 84.000 (84.602)
Epoch: [87][6820/9018]	Time 0.594 (0.617)	Data 0.001 (0.001)	Loss 1.5771 (1.6274)	Prec@1 58.500 (56.144)	Prec@5 87.500 (84.604)
Epoch: [87][6830/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.5477 (1.6274)	Prec@1 57.500 (56.142)	Prec@5 87.000 (84.603)
Epoch: [87][6840/9018]	Time 0.631 (0.617)	Data 0.001 (0.001)	Loss 1.7199 (1.6275)	Prec@1 61.000 (56.143)	Prec@5 81.500 (84.602)
Epoch: [87][6850/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 1.6366 (1.6275)	Prec@1 54.000 (56.140)	Prec@5 81.500 (84.601)
Epoch: [87][6860/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.8820 (1.6276)	Prec@1 51.000 (56.138)	Prec@5 83.500 (84.599)
Epoch: [87][6870/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.7297 (1.6277)	Prec@1 54.500 (56.140)	Prec@5 82.500 (84.598)
Epoch: [87][6880/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.5219 (1.6276)	Prec@1 59.000 (56.140)	Prec@5 86.500 (84.599)
Epoch: [87][6890/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.5017 (1.6277)	Prec@1 60.000 (56.140)	Prec@5 85.500 (84.599)
Epoch: [87][6900/9018]	Time 0.615 (0.617)	Data 0.002 (0.001)	Loss 1.7031 (1.6278)	Prec@1 58.000 (56.137)	Prec@5 83.000 (84.600)
Epoch: [87][6910/9018]	Time 0.641 (0.617)	Data 0.001 (0.001)	Loss 1.6984 (1.6278)	Prec@1 55.000 (56.136)	Prec@5 85.500 (84.599)
Epoch: [87][6920/9018]	Time 0.628 (0.617)	Data 0.001 (0.001)	Loss 1.5408 (1.6278)	Prec@1 56.000 (56.137)	Prec@5 84.000 (84.598)
Epoch: [87][6930/9018]	Time 0.590 (0.617)	Data 0.001 (0.001)	Loss 1.4474 (1.6278)	Prec@1 61.000 (56.136)	Prec@5 87.000 (84.600)
Epoch: [87][6940/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.6489 (1.6277)	Prec@1 54.500 (56.138)	Prec@5 85.500 (84.601)
Epoch: [87][6950/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.7173 (1.6277)	Prec@1 54.000 (56.137)	Prec@5 78.500 (84.600)
Epoch: [87][6960/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.6042 (1.6276)	Prec@1 56.000 (56.139)	Prec@5 86.500 (84.602)
Epoch: [87][6970/9018]	Time 0.590 (0.617)	Data 0.001 (0.001)	Loss 1.4866 (1.6276)	Prec@1 60.000 (56.140)	Prec@5 88.000 (84.603)
Epoch: [87][6980/9018]	Time 0.623 (0.617)	Data 0.001 (0.001)	Loss 1.6503 (1.6276)	Prec@1 58.000 (56.142)	Prec@5 84.500 (84.603)
Epoch: [87][6990/9018]	Time 0.591 (0.617)	Data 0.001 (0.001)	Loss 1.4678 (1.6276)	Prec@1 57.500 (56.141)	Prec@5 86.000 (84.603)
Epoch: [87][7000/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.7277 (1.6276)	Prec@1 54.000 (56.142)	Prec@5 84.000 (84.602)
Epoch: [87][7010/9018]	Time 0.760 (0.617)	Data 0.001 (0.001)	Loss 1.6137 (1.6275)	Prec@1 55.000 (56.144)	Prec@5 86.500 (84.604)
Epoch: [87][7020/9018]	Time 0.620 (0.617)	Data 0.001 (0.001)	Loss 1.5621 (1.6275)	Prec@1 61.000 (56.146)	Prec@5 84.500 (84.604)
Epoch: [87][7030/9018]	Time 0.630 (0.617)	Data 0.001 (0.001)	Loss 1.6337 (1.6274)	Prec@1 57.500 (56.146)	Prec@5 83.000 (84.605)
Epoch: [87][7040/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 1.7460 (1.6274)	Prec@1 51.000 (56.145)	Prec@5 84.000 (84.606)
Epoch: [87][7050/9018]	Time 0.589 (0.617)	Data 0.001 (0.001)	Loss 1.7801 (1.6275)	Prec@1 49.000 (56.142)	Prec@5 81.000 (84.606)
Epoch: [87][7060/9018]	Time 0.720 (0.617)	Data 0.001 (0.001)	Loss 1.6593 (1.6274)	Prec@1 57.500 (56.145)	Prec@5 83.000 (84.605)
Epoch: [87][7070/9018]	Time 0.636 (0.617)	Data 0.001 (0.001)	Loss 1.6637 (1.6275)	Prec@1 56.000 (56.142)	Prec@5 83.000 (84.603)
Epoch: [87][7080/9018]	Time 0.622 (0.617)	Data 0.001 (0.001)	Loss 1.5370 (1.6275)	Prec@1 56.500 (56.142)	Prec@5 84.000 (84.603)
Epoch: [87][7090/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 1.6469 (1.6276)	Prec@1 57.500 (56.142)	Prec@5 84.000 (84.600)
Epoch: [87][7100/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.8487 (1.6276)	Prec@1 52.500 (56.144)	Prec@5 79.000 (84.600)
Epoch: [87][7110/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.8106 (1.6276)	Prec@1 50.000 (56.142)	Prec@5 80.500 (84.600)
Epoch: [87][7120/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.3988 (1.6276)	Prec@1 58.500 (56.142)	Prec@5 86.000 (84.599)
Epoch: [87][7130/9018]	Time 0.618 (0.617)	Data 0.001 (0.001)	Loss 1.5292 (1.6276)	Prec@1 55.000 (56.143)	Prec@5 86.500 (84.598)
Epoch: [87][7140/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6123 (1.6276)	Prec@1 52.500 (56.142)	Prec@5 87.000 (84.598)
Epoch: [87][7150/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.4797 (1.6277)	Prec@1 61.000 (56.142)	Prec@5 89.000 (84.597)
Epoch: [87][7160/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.6915 (1.6277)	Prec@1 56.500 (56.142)	Prec@5 83.500 (84.597)
Epoch: [87][7170/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 1.6500 (1.6278)	Prec@1 53.000 (56.141)	Prec@5 85.000 (84.595)
Epoch: [87][7180/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.4622 (1.6278)	Prec@1 58.000 (56.139)	Prec@5 89.000 (84.596)
Epoch: [87][7190/9018]	Time 0.592 (0.617)	Data 0.001 (0.001)	Loss 1.7170 (1.6278)	Prec@1 50.000 (56.141)	Prec@5 84.500 (84.596)
Epoch: [87][7200/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.8309 (1.6278)	Prec@1 54.500 (56.139)	Prec@5 82.500 (84.596)
Epoch: [87][7210/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.4744 (1.6279)	Prec@1 58.500 (56.138)	Prec@5 87.500 (84.595)
Epoch: [87][7220/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.8869 (1.6279)	Prec@1 52.500 (56.139)	Prec@5 78.500 (84.595)
Epoch: [87][7230/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 1.5246 (1.6278)	Prec@1 57.000 (56.141)	Prec@5 87.000 (84.596)
Epoch: [87][7240/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 1.6972 (1.6279)	Prec@1 59.000 (56.141)	Prec@5 85.000 (84.595)
Epoch: [87][7250/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.6511 (1.6279)	Prec@1 53.000 (56.140)	Prec@5 85.500 (84.594)
Epoch: [87][7260/9018]	Time 0.630 (0.617)	Data 0.001 (0.001)	Loss 1.7078 (1.6279)	Prec@1 52.000 (56.138)	Prec@5 82.500 (84.592)
Epoch: [87][7270/9018]	Time 0.596 (0.617)	Data 0.002 (0.001)	Loss 1.6991 (1.6279)	Prec@1 51.000 (56.137)	Prec@5 83.500 (84.592)
Epoch: [87][7280/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 1.6310 (1.6280)	Prec@1 55.500 (56.135)	Prec@5 83.000 (84.590)
Epoch: [87][7290/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.6594 (1.6282)	Prec@1 53.500 (56.132)	Prec@5 82.000 (84.588)
Epoch: [87][7300/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.4208 (1.6282)	Prec@1 62.000 (56.130)	Prec@5 85.500 (84.587)
Epoch: [87][7310/9018]	Time 0.628 (0.617)	Data 0.001 (0.001)	Loss 1.6956 (1.6282)	Prec@1 54.000 (56.130)	Prec@5 83.000 (84.588)
Epoch: [87][7320/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 1.5478 (1.6283)	Prec@1 58.500 (56.127)	Prec@5 86.500 (84.588)
Epoch: [87][7330/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.7382 (1.6284)	Prec@1 56.000 (56.125)	Prec@5 78.500 (84.587)
Epoch: [87][7340/9018]	Time 0.745 (0.617)	Data 0.001 (0.001)	Loss 1.7634 (1.6284)	Prec@1 54.500 (56.123)	Prec@5 80.000 (84.586)
Epoch: [87][7350/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 1.5415 (1.6285)	Prec@1 62.000 (56.123)	Prec@5 85.000 (84.585)
Epoch: [87][7360/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 1.5239 (1.6285)	Prec@1 58.500 (56.122)	Prec@5 85.000 (84.585)
Epoch: [87][7370/9018]	Time 0.627 (0.617)	Data 0.001 (0.001)	Loss 1.5891 (1.6285)	Prec@1 53.500 (56.118)	Prec@5 86.500 (84.586)
Epoch: [87][7380/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.4750 (1.6285)	Prec@1 61.000 (56.120)	Prec@5 87.000 (84.586)
Epoch: [87][7390/9018]	Time 0.722 (0.617)	Data 0.001 (0.001)	Loss 1.5385 (1.6285)	Prec@1 56.500 (56.120)	Prec@5 87.500 (84.586)
Epoch: [87][7400/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.7068 (1.6285)	Prec@1 53.000 (56.117)	Prec@5 82.000 (84.586)
Epoch: [87][7410/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.5916 (1.6285)	Prec@1 60.500 (56.117)	Prec@5 85.500 (84.586)
Epoch: [87][7420/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.5972 (1.6285)	Prec@1 56.500 (56.116)	Prec@5 85.500 (84.586)
Epoch: [87][7430/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 1.5314 (1.6285)	Prec@1 60.500 (56.117)	Prec@5 88.000 (84.585)
Epoch: [87][7440/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.7609 (1.6286)	Prec@1 53.500 (56.117)	Prec@5 82.500 (84.586)
Epoch: [87][7450/9018]	Time 0.646 (0.617)	Data 0.001 (0.001)	Loss 1.7128 (1.6287)	Prec@1 50.000 (56.114)	Prec@5 87.500 (84.584)
Epoch: [87][7460/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 1.8769 (1.6288)	Prec@1 55.000 (56.113)	Prec@5 79.500 (84.583)
Epoch: [87][7470/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.4232 (1.6287)	Prec@1 60.000 (56.113)	Prec@5 86.500 (84.583)
Epoch: [87][7480/9018]	Time 0.594 (0.617)	Data 0.001 (0.001)	Loss 1.5057 (1.6288)	Prec@1 59.500 (56.112)	Prec@5 85.000 (84.582)
Epoch: [87][7490/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.6750 (1.6287)	Prec@1 53.000 (56.114)	Prec@5 86.000 (84.583)
Epoch: [87][7500/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.7141 (1.6287)	Prec@1 56.500 (56.113)	Prec@5 85.000 (84.584)
Epoch: [87][7510/9018]	Time 0.624 (0.617)	Data 0.001 (0.001)	Loss 1.5644 (1.6287)	Prec@1 59.000 (56.113)	Prec@5 86.500 (84.584)
Epoch: [87][7520/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.8172 (1.6288)	Prec@1 49.500 (56.112)	Prec@5 81.000 (84.583)
Epoch: [87][7530/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.7700 (1.6288)	Prec@1 55.500 (56.110)	Prec@5 81.500 (84.581)
Epoch: [87][7540/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.4973 (1.6288)	Prec@1 58.000 (56.111)	Prec@5 86.000 (84.581)
Epoch: [87][7550/9018]	Time 0.633 (0.617)	Data 0.001 (0.001)	Loss 1.8388 (1.6288)	Prec@1 50.500 (56.112)	Prec@5 84.000 (84.582)
Epoch: [87][7560/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.7217 (1.6288)	Prec@1 55.000 (56.113)	Prec@5 83.500 (84.582)
Epoch: [87][7570/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.4199 (1.6287)	Prec@1 58.500 (56.116)	Prec@5 89.500 (84.584)
Epoch: [87][7580/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.6014 (1.6287)	Prec@1 55.000 (56.117)	Prec@5 85.000 (84.583)
Epoch: [87][7590/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.4816 (1.6287)	Prec@1 63.000 (56.117)	Prec@5 88.000 (84.583)
Epoch: [87][7600/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.8200 (1.6288)	Prec@1 51.500 (56.115)	Prec@5 77.000 (84.581)
Epoch: [87][7610/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.6768 (1.6287)	Prec@1 53.500 (56.117)	Prec@5 84.000 (84.583)
Epoch: [87][7620/9018]	Time 0.623 (0.617)	Data 0.001 (0.001)	Loss 1.8675 (1.6287)	Prec@1 49.000 (56.118)	Prec@5 78.500 (84.582)
Epoch: [87][7630/9018]	Time 0.634 (0.617)	Data 0.001 (0.001)	Loss 1.4773 (1.6287)	Prec@1 62.500 (56.118)	Prec@5 89.000 (84.582)
Epoch: [87][7640/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.6243 (1.6287)	Prec@1 54.500 (56.117)	Prec@5 83.000 (84.582)
Epoch: [87][7650/9018]	Time 0.611 (0.617)	Data 0.001 (0.001)	Loss 1.6308 (1.6287)	Prec@1 59.500 (56.119)	Prec@5 83.000 (84.582)
Epoch: [87][7660/9018]	Time 0.597 (0.617)	Data 0.001 (0.001)	Loss 1.9118 (1.6288)	Prec@1 50.000 (56.118)	Prec@5 82.000 (84.580)
Epoch: [87][7670/9018]	Time 0.709 (0.617)	Data 0.001 (0.001)	Loss 1.6437 (1.6289)	Prec@1 56.500 (56.116)	Prec@5 86.000 (84.579)
Epoch: [87][7680/9018]	Time 0.623 (0.617)	Data 0.001 (0.001)	Loss 1.6329 (1.6289)	Prec@1 55.500 (56.115)	Prec@5 85.500 (84.580)
Epoch: [87][7690/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 1.8264 (1.6289)	Prec@1 50.500 (56.113)	Prec@5 79.500 (84.579)
Epoch: [87][7700/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.4729 (1.6290)	Prec@1 58.500 (56.112)	Prec@5 87.000 (84.578)
Epoch: [87][7710/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.4060 (1.6290)	Prec@1 61.500 (56.111)	Prec@5 87.500 (84.578)
Epoch: [87][7720/9018]	Time 0.742 (0.617)	Data 0.001 (0.001)	Loss 1.6199 (1.6289)	Prec@1 53.000 (56.113)	Prec@5 84.000 (84.579)
Epoch: [87][7730/9018]	Time 0.597 (0.617)	Data 0.001 (0.001)	Loss 1.5850 (1.6289)	Prec@1 58.500 (56.114)	Prec@5 87.000 (84.580)
Epoch: [87][7740/9018]	Time 0.597 (0.617)	Data 0.001 (0.001)	Loss 1.5393 (1.6288)	Prec@1 55.500 (56.114)	Prec@5 86.000 (84.581)
Epoch: [87][7750/9018]	Time 0.622 (0.617)	Data 0.001 (0.001)	Loss 1.3962 (1.6288)	Prec@1 64.500 (56.117)	Prec@5 87.500 (84.581)
Epoch: [87][7760/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.6759 (1.6288)	Prec@1 59.000 (56.117)	Prec@5 83.000 (84.581)
Epoch: [87][7770/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.4882 (1.6287)	Prec@1 62.500 (56.119)	Prec@5 85.500 (84.582)
Epoch: [87][7780/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.5511 (1.6287)	Prec@1 61.000 (56.117)	Prec@5 86.000 (84.583)
Epoch: [87][7790/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.5894 (1.6287)	Prec@1 56.500 (56.117)	Prec@5 85.000 (84.583)
Epoch: [87][7800/9018]	Time 0.636 (0.617)	Data 0.001 (0.001)	Loss 1.5868 (1.6287)	Prec@1 54.000 (56.118)	Prec@5 86.000 (84.585)
Epoch: [87][7810/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.7290 (1.6287)	Prec@1 53.000 (56.119)	Prec@5 82.500 (84.586)
Epoch: [87][7820/9018]	Time 0.593 (0.617)	Data 0.001 (0.001)	Loss 1.7215 (1.6287)	Prec@1 53.500 (56.118)	Prec@5 85.500 (84.586)
Epoch: [87][7830/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.6380 (1.6287)	Prec@1 58.500 (56.119)	Prec@5 85.500 (84.587)
Epoch: [87][7840/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 1.6327 (1.6288)	Prec@1 57.000 (56.118)	Prec@5 85.000 (84.586)
Epoch: [87][7850/9018]	Time 0.633 (0.617)	Data 0.001 (0.001)	Loss 1.8027 (1.6288)	Prec@1 55.000 (56.119)	Prec@5 79.500 (84.585)
Epoch: [87][7860/9018]	Time 0.597 (0.617)	Data 0.001 (0.001)	Loss 1.4668 (1.6288)	Prec@1 60.500 (56.120)	Prec@5 85.500 (84.584)
Epoch: [87][7870/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.7874 (1.6288)	Prec@1 54.500 (56.120)	Prec@5 80.000 (84.583)
Epoch: [87][7880/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.7706 (1.6288)	Prec@1 54.500 (56.120)	Prec@5 81.500 (84.583)
Epoch: [87][7890/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 1.7015 (1.6288)	Prec@1 55.000 (56.118)	Prec@5 86.500 (84.582)
Epoch: [87][7900/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.8405 (1.6289)	Prec@1 51.000 (56.116)	Prec@5 83.500 (84.581)
Epoch: [87][7910/9018]	Time 0.636 (0.617)	Data 0.001 (0.001)	Loss 1.6378 (1.6290)	Prec@1 55.500 (56.114)	Prec@5 84.000 (84.579)
Epoch: [87][7920/9018]	Time 0.633 (0.617)	Data 0.001 (0.001)	Loss 1.6577 (1.6290)	Prec@1 55.500 (56.112)	Prec@5 84.500 (84.579)
Epoch: [87][7930/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.3740 (1.6289)	Prec@1 58.500 (56.114)	Prec@5 87.000 (84.579)
Epoch: [87][7940/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.6649 (1.6289)	Prec@1 56.000 (56.116)	Prec@5 80.500 (84.578)
Epoch: [87][7950/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.7172 (1.6289)	Prec@1 52.500 (56.115)	Prec@5 84.000 (84.578)
Epoch: [87][7960/9018]	Time 0.629 (0.617)	Data 0.001 (0.001)	Loss 1.5564 (1.6290)	Prec@1 58.500 (56.114)	Prec@5 86.000 (84.577)
Epoch: [87][7970/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 1.6492 (1.6291)	Prec@1 57.500 (56.115)	Prec@5 84.000 (84.575)
Epoch: [87][7980/9018]	Time 0.631 (0.617)	Data 0.001 (0.001)	Loss 1.7348 (1.6290)	Prec@1 59.000 (56.115)	Prec@5 82.000 (84.576)
Epoch: [87][7990/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.5402 (1.6290)	Prec@1 57.500 (56.114)	Prec@5 85.500 (84.576)
Epoch: [87][8000/9018]	Time 0.722 (0.617)	Data 0.001 (0.001)	Loss 1.7639 (1.6290)	Prec@1 51.000 (56.114)	Prec@5 81.000 (84.577)
Epoch: [87][8010/9018]	Time 0.633 (0.617)	Data 0.001 (0.001)	Loss 1.7449 (1.6291)	Prec@1 52.500 (56.114)	Prec@5 85.000 (84.576)
Epoch: [87][8020/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.6073 (1.6291)	Prec@1 57.500 (56.112)	Prec@5 87.000 (84.576)
Epoch: [87][8030/9018]	Time 0.631 (0.617)	Data 0.001 (0.001)	Loss 1.6209 (1.6290)	Prec@1 56.000 (56.114)	Prec@5 84.500 (84.577)
Epoch: [87][8040/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.4796 (1.6289)	Prec@1 56.000 (56.115)	Prec@5 87.000 (84.577)
Epoch: [87][8050/9018]	Time 0.728 (0.617)	Data 0.001 (0.001)	Loss 1.7288 (1.6290)	Prec@1 52.500 (56.115)	Prec@5 82.000 (84.577)
Epoch: [87][8060/9018]	Time 0.623 (0.617)	Data 0.001 (0.001)	Loss 1.6730 (1.6290)	Prec@1 55.000 (56.111)	Prec@5 87.000 (84.576)
Epoch: [87][8070/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.4831 (1.6291)	Prec@1 55.000 (56.110)	Prec@5 88.500 (84.577)
Epoch: [87][8080/9018]	Time 0.626 (0.617)	Data 0.001 (0.001)	Loss 1.5074 (1.6291)	Prec@1 59.000 (56.109)	Prec@5 84.000 (84.576)
Epoch: [87][8090/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.6271 (1.6290)	Prec@1 56.500 (56.110)	Prec@5 88.500 (84.576)
Epoch: [87][8100/9018]	Time 0.594 (0.617)	Data 0.001 (0.001)	Loss 1.6341 (1.6290)	Prec@1 59.500 (56.110)	Prec@5 85.500 (84.577)
Epoch: [87][8110/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.8648 (1.6290)	Prec@1 51.500 (56.111)	Prec@5 80.500 (84.577)
Epoch: [87][8120/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.9551 (1.6291)	Prec@1 52.500 (56.109)	Prec@5 77.500 (84.575)
Epoch: [87][8130/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.8332 (1.6291)	Prec@1 52.000 (56.111)	Prec@5 83.000 (84.576)
Epoch: [87][8140/9018]	Time 0.614 (0.617)	Data 0.001 (0.001)	Loss 1.5602 (1.6292)	Prec@1 58.000 (56.110)	Prec@5 86.500 (84.576)
Epoch: [87][8150/9018]	Time 0.597 (0.617)	Data 0.001 (0.001)	Loss 1.6040 (1.6291)	Prec@1 58.000 (56.110)	Prec@5 85.000 (84.577)
Epoch: [87][8160/9018]	Time 0.629 (0.617)	Data 0.001 (0.001)	Loss 1.6024 (1.6292)	Prec@1 54.000 (56.108)	Prec@5 85.000 (84.575)
Epoch: [87][8170/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.6405 (1.6292)	Prec@1 55.500 (56.108)	Prec@5 85.500 (84.574)
Epoch: [87][8180/9018]	Time 0.638 (0.617)	Data 0.001 (0.001)	Loss 1.6756 (1.6292)	Prec@1 52.000 (56.106)	Prec@5 83.500 (84.574)
Epoch: [87][8190/9018]	Time 0.630 (0.617)	Data 0.001 (0.001)	Loss 1.5135 (1.6292)	Prec@1 58.500 (56.108)	Prec@5 88.000 (84.574)
Epoch: [87][8200/9018]	Time 0.626 (0.617)	Data 0.001 (0.001)	Loss 1.5530 (1.6291)	Prec@1 62.500 (56.111)	Prec@5 87.000 (84.577)
Epoch: [87][8210/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.5557 (1.6291)	Prec@1 55.500 (56.110)	Prec@5 87.000 (84.575)
Epoch: [87][8220/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 1.7961 (1.6291)	Prec@1 49.000 (56.109)	Prec@5 84.500 (84.576)
Epoch: [87][8230/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.6804 (1.6291)	Prec@1 56.000 (56.107)	Prec@5 83.000 (84.577)
Epoch: [87][8240/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.4864 (1.6291)	Prec@1 55.000 (56.108)	Prec@5 87.500 (84.577)
Epoch: [87][8250/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 1.5983 (1.6291)	Prec@1 59.500 (56.108)	Prec@5 83.000 (84.577)
Epoch: [87][8260/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.4129 (1.6290)	Prec@1 60.000 (56.110)	Prec@5 87.500 (84.578)
Epoch: [87][8270/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.6328 (1.6291)	Prec@1 54.000 (56.110)	Prec@5 81.500 (84.577)
Epoch: [87][8280/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.7974 (1.6290)	Prec@1 59.000 (56.109)	Prec@5 81.000 (84.578)
Epoch: [87][8290/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.4872 (1.6290)	Prec@1 62.500 (56.111)	Prec@5 88.500 (84.578)
Epoch: [87][8300/9018]	Time 0.628 (0.617)	Data 0.001 (0.001)	Loss 1.7234 (1.6290)	Prec@1 57.000 (56.112)	Prec@5 83.500 (84.579)
Epoch: [87][8310/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.4470 (1.6289)	Prec@1 62.000 (56.114)	Prec@5 84.500 (84.579)
Epoch: [87][8320/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.4834 (1.6288)	Prec@1 59.500 (56.118)	Prec@5 87.500 (84.581)
Epoch: [87][8330/9018]	Time 0.731 (0.617)	Data 0.001 (0.001)	Loss 1.8365 (1.6289)	Prec@1 53.500 (56.114)	Prec@5 81.500 (84.580)
Epoch: [87][8340/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.6662 (1.6289)	Prec@1 55.000 (56.114)	Prec@5 86.000 (84.579)
Epoch: [87][8350/9018]	Time 0.604 (0.617)	Data 0.001 (0.001)	Loss 1.7021 (1.6290)	Prec@1 52.000 (56.114)	Prec@5 80.500 (84.577)
Epoch: [87][8360/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.5228 (1.6290)	Prec@1 56.000 (56.113)	Prec@5 86.500 (84.575)
Epoch: [87][8370/9018]	Time 0.633 (0.617)	Data 0.001 (0.001)	Loss 1.6899 (1.6291)	Prec@1 55.500 (56.111)	Prec@5 84.000 (84.573)
Epoch: [87][8380/9018]	Time 0.729 (0.617)	Data 0.001 (0.001)	Loss 1.7553 (1.6291)	Prec@1 52.500 (56.110)	Prec@5 80.000 (84.572)
Epoch: [87][8390/9018]	Time 0.613 (0.617)	Data 0.001 (0.001)	Loss 1.5185 (1.6292)	Prec@1 58.000 (56.109)	Prec@5 85.000 (84.571)
Epoch: [87][8400/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.4904 (1.6292)	Prec@1 59.000 (56.110)	Prec@5 87.000 (84.573)
Epoch: [87][8410/9018]	Time 0.608 (0.617)	Data 0.001 (0.001)	Loss 1.5418 (1.6292)	Prec@1 56.500 (56.107)	Prec@5 85.500 (84.571)
Epoch: [87][8420/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.5360 (1.6292)	Prec@1 59.500 (56.106)	Prec@5 88.500 (84.571)
Epoch: [87][8430/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.5895 (1.6293)	Prec@1 57.500 (56.106)	Prec@5 89.500 (84.571)
Epoch: [87][8440/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.6175 (1.6292)	Prec@1 56.000 (56.107)	Prec@5 86.500 (84.571)
Epoch: [87][8450/9018]	Time 0.635 (0.617)	Data 0.001 (0.001)	Loss 1.6541 (1.6293)	Prec@1 56.500 (56.104)	Prec@5 84.000 (84.569)
Epoch: [87][8460/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.5747 (1.6293)	Prec@1 59.500 (56.106)	Prec@5 86.500 (84.570)
Epoch: [87][8470/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.6495 (1.6293)	Prec@1 56.000 (56.105)	Prec@5 85.000 (84.571)
Epoch: [87][8480/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.6482 (1.6293)	Prec@1 54.000 (56.103)	Prec@5 84.500 (84.569)
Epoch: [87][8490/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.5477 (1.6293)	Prec@1 58.500 (56.104)	Prec@5 83.000 (84.569)
Epoch: [87][8500/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.5226 (1.6293)	Prec@1 56.000 (56.103)	Prec@5 89.500 (84.569)
Epoch: [87][8510/9018]	Time 0.596 (0.617)	Data 0.001 (0.001)	Loss 1.6587 (1.6293)	Prec@1 55.000 (56.102)	Prec@5 82.500 (84.568)
Epoch: [87][8520/9018]	Time 0.595 (0.617)	Data 0.001 (0.001)	Loss 1.4730 (1.6293)	Prec@1 58.000 (56.103)	Prec@5 86.000 (84.568)
Epoch: [87][8530/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.6073 (1.6293)	Prec@1 55.500 (56.102)	Prec@5 83.500 (84.569)
Epoch: [87][8540/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.5378 (1.6294)	Prec@1 57.000 (56.100)	Prec@5 88.500 (84.567)
Epoch: [87][8550/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.6571 (1.6294)	Prec@1 57.000 (56.100)	Prec@5 84.500 (84.567)
Epoch: [87][8560/9018]	Time 0.594 (0.617)	Data 0.001 (0.001)	Loss 1.4184 (1.6295)	Prec@1 58.000 (56.099)	Prec@5 88.000 (84.567)
Epoch: [87][8570/9018]	Time 0.633 (0.617)	Data 0.001 (0.001)	Loss 1.3612 (1.6294)	Prec@1 65.500 (56.101)	Prec@5 87.000 (84.567)
Epoch: [87][8580/9018]	Time 0.626 (0.617)	Data 0.001 (0.001)	Loss 1.6678 (1.6294)	Prec@1 54.500 (56.101)	Prec@5 83.500 (84.567)
Epoch: [87][8590/9018]	Time 0.594 (0.617)	Data 0.001 (0.001)	Loss 1.4243 (1.6294)	Prec@1 62.500 (56.100)	Prec@5 86.500 (84.566)
Epoch: [87][8600/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.3946 (1.6294)	Prec@1 60.000 (56.100)	Prec@5 87.000 (84.566)
Epoch: [87][8610/9018]	Time 0.628 (0.617)	Data 0.001 (0.001)	Loss 1.6032 (1.6294)	Prec@1 55.500 (56.102)	Prec@5 85.000 (84.566)
Epoch: [87][8620/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.7071 (1.6294)	Prec@1 55.500 (56.102)	Prec@5 82.000 (84.565)
Epoch: [87][8630/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.6538 (1.6294)	Prec@1 54.000 (56.101)	Prec@5 83.500 (84.564)
Epoch: [87][8640/9018]	Time 0.620 (0.617)	Data 0.001 (0.001)	Loss 1.8574 (1.6295)	Prec@1 47.000 (56.098)	Prec@5 83.500 (84.563)
Epoch: [87][8650/9018]	Time 0.597 (0.617)	Data 0.001 (0.001)	Loss 1.4059 (1.6295)	Prec@1 63.000 (56.098)	Prec@5 89.500 (84.563)
Epoch: [87][8660/9018]	Time 0.731 (0.617)	Data 0.001 (0.001)	Loss 1.7501 (1.6295)	Prec@1 55.500 (56.099)	Prec@5 77.000 (84.563)
Epoch: [87][8670/9018]	Time 0.637 (0.617)	Data 0.001 (0.001)	Loss 1.8527 (1.6295)	Prec@1 50.500 (56.100)	Prec@5 80.000 (84.563)
Epoch: [87][8680/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.7848 (1.6296)	Prec@1 53.500 (56.098)	Prec@5 82.000 (84.562)
Epoch: [87][8690/9018]	Time 0.637 (0.617)	Data 0.001 (0.001)	Loss 1.5012 (1.6295)	Prec@1 56.500 (56.099)	Prec@5 88.000 (84.564)
Epoch: [87][8700/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.4010 (1.6294)	Prec@1 61.500 (56.101)	Prec@5 87.000 (84.566)
Epoch: [87][8710/9018]	Time 0.718 (0.617)	Data 0.001 (0.001)	Loss 1.7945 (1.6294)	Prec@1 49.000 (56.102)	Prec@5 83.500 (84.567)
Epoch: [87][8720/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.6830 (1.6294)	Prec@1 52.000 (56.101)	Prec@5 83.000 (84.567)
Epoch: [87][8730/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.5631 (1.6293)	Prec@1 61.500 (56.104)	Prec@5 85.500 (84.568)
Epoch: [87][8740/9018]	Time 0.609 (0.617)	Data 0.001 (0.001)	Loss 1.7083 (1.6294)	Prec@1 52.000 (56.103)	Prec@5 86.000 (84.567)
Epoch: [87][8750/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.5429 (1.6293)	Prec@1 60.000 (56.106)	Prec@5 84.500 (84.568)
Epoch: [87][8760/9018]	Time 0.605 (0.617)	Data 0.001 (0.001)	Loss 1.5404 (1.6293)	Prec@1 57.500 (56.108)	Prec@5 86.000 (84.567)
Epoch: [87][8770/9018]	Time 0.601 (0.617)	Data 0.001 (0.001)	Loss 1.5378 (1.6294)	Prec@1 60.000 (56.107)	Prec@5 87.000 (84.567)
Epoch: [87][8780/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.7498 (1.6294)	Prec@1 52.000 (56.106)	Prec@5 83.000 (84.565)
Epoch: [87][8790/9018]	Time 0.615 (0.617)	Data 0.001 (0.001)	Loss 1.6933 (1.6295)	Prec@1 54.500 (56.103)	Prec@5 82.000 (84.565)
Epoch: [87][8800/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.6198 (1.6294)	Prec@1 57.500 (56.106)	Prec@5 85.000 (84.567)
Epoch: [87][8810/9018]	Time 0.631 (0.617)	Data 0.001 (0.001)	Loss 1.5075 (1.6294)	Prec@1 64.000 (56.107)	Prec@5 88.000 (84.566)
Epoch: [87][8820/9018]	Time 0.612 (0.617)	Data 0.001 (0.001)	Loss 1.6711 (1.6295)	Prec@1 61.000 (56.105)	Prec@5 80.500 (84.565)
Epoch: [87][8830/9018]	Time 0.619 (0.617)	Data 0.001 (0.001)	Loss 1.7054 (1.6295)	Prec@1 55.500 (56.106)	Prec@5 84.000 (84.564)
Epoch: [87][8840/9018]	Time 0.602 (0.617)	Data 0.001 (0.001)	Loss 1.4609 (1.6296)	Prec@1 56.000 (56.104)	Prec@5 87.500 (84.563)
Epoch: [87][8850/9018]	Time 0.598 (0.617)	Data 0.001 (0.001)	Loss 1.7664 (1.6296)	Prec@1 55.000 (56.102)	Prec@5 80.500 (84.561)
Epoch: [87][8860/9018]	Time 0.621 (0.617)	Data 0.001 (0.001)	Loss 1.7212 (1.6297)	Prec@1 49.500 (56.101)	Prec@5 82.000 (84.561)
Epoch: [87][8870/9018]	Time 0.607 (0.617)	Data 0.001 (0.001)	Loss 1.5747 (1.6296)	Prec@1 58.500 (56.103)	Prec@5 86.000 (84.562)
Epoch: [87][8880/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.5843 (1.6296)	Prec@1 56.000 (56.104)	Prec@5 87.000 (84.561)
Epoch: [87][8890/9018]	Time 0.623 (0.617)	Data 0.001 (0.001)	Loss 1.5905 (1.6296)	Prec@1 54.500 (56.104)	Prec@5 86.000 (84.561)
Epoch: [87][8900/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.6308 (1.6296)	Prec@1 54.000 (56.105)	Prec@5 85.500 (84.561)
Epoch: [87][8910/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.7248 (1.6296)	Prec@1 54.500 (56.106)	Prec@5 85.000 (84.561)
Epoch: [87][8920/9018]	Time 0.600 (0.617)	Data 0.001 (0.001)	Loss 1.6099 (1.6296)	Prec@1 55.000 (56.104)	Prec@5 86.000 (84.561)
Epoch: [87][8930/9018]	Time 0.603 (0.617)	Data 0.001 (0.001)	Loss 1.7698 (1.6296)	Prec@1 54.000 (56.104)	Prec@5 84.000 (84.562)
Epoch: [87][8940/9018]	Time 0.633 (0.617)	Data 0.001 (0.001)	Loss 1.6999 (1.6296)	Prec@1 55.000 (56.104)	Prec@5 83.500 (84.562)
Epoch: [87][8950/9018]	Time 0.606 (0.617)	Data 0.001 (0.001)	Loss 1.8315 (1.6296)	Prec@1 47.500 (56.103)	Prec@5 79.500 (84.562)
Epoch: [87][8960/9018]	Time 0.616 (0.617)	Data 0.001 (0.001)	Loss 1.5502 (1.6296)	Prec@1 58.000 (56.103)	Prec@5 84.000 (84.561)
Epoch: [87][8970/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.7770 (1.6296)	Prec@1 54.000 (56.102)	Prec@5 82.000 (84.562)
Epoch: [87][8980/9018]	Time 0.610 (0.617)	Data 0.001 (0.001)	Loss 1.5975 (1.6295)	Prec@1 58.500 (56.102)	Prec@5 84.000 (84.563)
Epoch: [87][8990/9018]	Time 0.709 (0.617)	Data 0.001 (0.001)	Loss 1.4222 (1.6296)	Prec@1 63.000 (56.102)	Prec@5 90.500 (84.563)
Epoch: [87][9000/9018]	Time 0.599 (0.617)	Data 0.001 (0.001)	Loss 1.4740 (1.6295)	Prec@1 59.000 (56.103)	Prec@5 88.000 (84.563)
Epoch: [87][9010/9018]	Time 0.591 (0.617)	Data 0.000 (0.001)	Loss 1.4900 (1.6295)	Prec@1 60.000 (56.104)	Prec@5 87.000 (84.563)
Test: [0/183]	Time 1.433 (1.433)	Loss 2.6380 (2.6380)	Prec@1 37.500 (37.500)	Prec@5 68.500 (68.500)
Test: [10/183]	Time 0.184 (0.315)	Loss 1.5914 (1.7374)	Prec@1 63.500 (54.818)	Prec@5 86.500 (84.636)
Test: [20/183]	Time 0.196 (0.259)	Loss 2.0543 (1.6684)	Prec@1 45.500 (56.071)	Prec@5 77.500 (85.071)
Test: [30/183]	Time 0.186 (0.239)	Loss 2.1941 (1.6474)	Prec@1 39.500 (56.226)	Prec@5 77.000 (85.726)
Test: [40/183]	Time 0.187 (0.228)	Loss 2.3601 (1.6552)	Prec@1 38.500 (56.622)	Prec@5 77.500 (85.244)
Test: [50/183]	Time 0.200 (0.220)	Loss 1.5580 (1.6348)	Prec@1 54.500 (56.863)	Prec@5 87.000 (85.422)
Test: [60/183]	Time 0.197 (0.217)	Loss 2.1552 (1.7029)	Prec@1 46.500 (54.926)	Prec@5 75.000 (84.541)
Test: [70/183]	Time 0.205 (0.213)	Loss 1.6400 (1.6845)	Prec@1 56.000 (55.070)	Prec@5 84.500 (84.866)
Test: [80/183]	Time 0.187 (0.212)	Loss 1.3729 (1.6654)	Prec@1 62.500 (55.377)	Prec@5 90.500 (85.167)
Test: [90/183]	Time 0.194 (0.210)	Loss 2.1171 (1.6635)	Prec@1 46.000 (55.522)	Prec@5 77.000 (85.258)
Test: [100/183]	Time 0.189 (0.208)	Loss 0.8629 (1.6670)	Prec@1 75.000 (55.347)	Prec@5 96.000 (85.292)
Test: [110/183]	Time 0.185 (0.207)	Loss 0.7843 (1.6719)	Prec@1 77.500 (55.158)	Prec@5 96.500 (85.207)
Test: [120/183]	Time 0.184 (0.206)	Loss 2.1605 (1.6749)	Prec@1 43.500 (55.041)	Prec@5 75.000 (85.215)
Test: [130/183]	Time 0.195 (0.205)	Loss 2.7919 (1.6827)	Prec@1 22.500 (54.710)	Prec@5 75.000 (85.294)
Test: [140/183]	Time 0.192 (0.205)	Loss 1.5019 (1.6715)	Prec@1 59.500 (54.965)	Prec@5 88.000 (85.433)
Test: [150/183]	Time 0.216 (0.204)	Loss 0.5923 (1.6683)	Prec@1 83.000 (55.136)	Prec@5 99.000 (85.477)
Test: [160/183]	Time 0.186 (0.204)	Loss 1.6839 (1.6639)	Prec@1 51.000 (55.351)	Prec@5 86.000 (85.503)
Test: [170/183]	Time 0.187 (0.203)	Loss 2.1430 (1.6807)	Prec@1 32.500 (54.874)	Prec@5 80.000 (85.231)
Test: [180/183]	Time 0.179 (0.202)	Loss 2.0111 (1.6875)	Prec@1 48.500 (54.804)	Prec@5 83.500 (85.130)
 * Prec@1 54.833 Prec@5 85.137
Epoch: [88][0/9018]	Time 2.874 (2.874)	Data 2.261 (2.261)	Loss 1.5754 (1.5754)	Prec@1 59.000 (59.000)	Prec@5 86.500 (86.500)
Epoch: [88][10/9018]	Time 0.591 (0.819)	Data 0.001 (0.206)	Loss 1.6004 (1.5913)	Prec@1 58.500 (56.636)	Prec@5 84.500 (85.091)
Epoch: [88][20/9018]	Time 0.594 (0.712)	Data 0.001 (0.108)	Loss 1.7497 (1.5785)	Prec@1 54.500 (57.333)	Prec@5 84.500 (85.262)
Epoch: [88][30/9018]	Time 0.597 (0.680)	Data 0.001 (0.074)	Loss 1.5558 (1.5963)	Prec@1 58.000 (56.726)	Prec@5 86.000 (84.871)
Epoch: [88][40/9018]	Time 0.606 (0.666)	Data 0.001 (0.056)	Loss 1.4586 (1.5909)	Prec@1 57.500 (56.707)	Prec@5 88.500 (84.976)
Epoch: [88][50/9018]	Time 0.598 (0.652)	Data 0.001 (0.045)	Loss 1.7771 (1.5960)	Prec@1 54.000 (56.647)	Prec@5 82.000 (84.922)
Epoch: [88][60/9018]	Time 0.593 (0.646)	Data 0.001 (0.038)	Loss 1.6895 (1.6016)	Prec@1 54.000 (56.533)	Prec@5 83.000 (84.852)
Epoch: [88][70/9018]	Time 0.781 (0.643)	Data 0.001 (0.033)	Loss 1.6729 (1.5995)	Prec@1 56.000 (56.606)	Prec@5 84.000 (85.106)
Epoch: [88][80/9018]	Time 0.598 (0.638)	Data 0.001 (0.029)	Loss 1.6347 (1.6003)	Prec@1 55.000 (56.574)	Prec@5 84.000 (84.988)
Epoch: [88][90/9018]	Time 0.602 (0.636)	Data 0.001 (0.026)	Loss 1.7141 (1.5972)	Prec@1 58.000 (56.786)	Prec@5 80.500 (85.066)
Epoch: [88][100/9018]	Time 0.634 (0.632)	Data 0.001 (0.023)	Loss 1.6040 (1.6044)	Prec@1 60.500 (56.663)	Prec@5 86.000 (84.965)
Epoch: [88][110/9018]	Time 0.603 (0.632)	Data 0.001 (0.021)	Loss 1.6316 (1.6033)	Prec@1 56.000 (56.635)	Prec@5 83.500 (84.959)
Epoch: [88][120/9018]	Time 0.734 (0.631)	Data 0.001 (0.019)	Loss 1.6662 (1.6022)	Prec@1 57.000 (56.640)	Prec@5 85.500 (85.017)
Epoch: [88][130/9018]	Time 0.599 (0.629)	Data 0.001 (0.018)	Loss 1.6076 (1.6049)	Prec@1 58.000 (56.615)	Prec@5 83.000 (84.927)
Epoch: [88][140/9018]	Time 0.599 (0.628)	Data 0.001 (0.017)	Loss 1.6191 (1.6083)	Prec@1 59.500 (56.613)	Prec@5 84.000 (84.908)
Epoch: [88][150/9018]	Time 0.639 (0.627)	Data 0.001 (0.016)	Loss 1.5584 (1.6130)	Prec@1 58.500 (56.593)	Prec@5 85.000 (84.781)
Epoch: [88][160/9018]	Time 0.595 (0.626)	Data 0.001 (0.015)	Loss 1.6379 (1.6095)	Prec@1 55.000 (56.646)	Prec@5 85.000 (84.832)
Epoch: [88][170/9018]	Time 0.606 (0.626)	Data 0.001 (0.014)	Loss 1.6214 (1.6120)	Prec@1 55.000 (56.588)	Prec@5 87.000 (84.763)
Epoch: [88][180/9018]	Time 0.617 (0.625)	Data 0.001 (0.013)	Loss 1.7660 (1.6124)	Prec@1 51.000 (56.569)	Prec@5 83.000 (84.738)
Epoch: [88][190/9018]	Time 0.597 (0.624)	Data 0.001 (0.013)	Loss 1.5747 (1.6115)	Prec@1 62.500 (56.584)	Prec@5 83.500 (84.733)
Epoch: [88][200/9018]	Time 0.611 (0.624)	Data 0.001 (0.012)	Loss 1.6715 (1.6113)	Prec@1 57.000 (56.527)	Prec@5 85.000 (84.761)
Epoch: [88][210/9018]	Time 0.626 (0.624)	Data 0.001 (0.011)	Loss 1.4550 (1.6088)	Prec@1 59.000 (56.678)	Prec@5 87.500 (84.808)
Epoch: [88][220/9018]	Time 0.604 (0.624)	Data 0.001 (0.011)	Loss 1.5151 (1.6054)	Prec@1 58.500 (56.776)	Prec@5 84.000 (84.824)
Epoch: [88][230/9018]	Time 0.593 (0.623)	Data 0.001 (0.011)	Loss 1.6483 (1.6053)	Prec@1 55.500 (56.768)	Prec@5 83.500 (84.820)
Epoch: [88][240/9018]	Time 0.608 (0.623)	Data 0.001 (0.010)	Loss 1.6808 (1.6056)	Prec@1 53.000 (56.720)	Prec@5 83.000 (84.815)
Epoch: [88][250/9018]	Time 0.606 (0.622)	Data 0.001 (0.010)	Loss 1.5496 (1.6047)	Prec@1 56.500 (56.727)	Prec@5 85.000 (84.825)
Epoch: [88][260/9018]	Time 0.603 (0.622)	Data 0.001 (0.009)	Loss 1.6658 (1.6058)	Prec@1 59.000 (56.730)	Prec@5 83.000 (84.807)
Epoch: [88][270/9018]	Time 0.611 (0.622)	Data 0.001 (0.009)	Loss 1.6028 (1.6029)	Prec@1 58.500 (56.839)	Prec@5 83.000 (84.852)
Epoch: [88][280/9018]	Time 0.599 (0.621)	Data 0.001 (0.009)	Loss 1.3970 (1.6020)	Prec@1 62.000 (56.820)	Prec@5 88.000 (84.895)
Epoch: [88][290/9018]	Time 0.601 (0.621)	Data 0.001 (0.009)	Loss 1.7546 (1.6027)	Prec@1 54.500 (56.782)	Prec@5 81.000 (84.864)
Epoch: [88][300/9018]	Time 0.634 (0.621)	Data 0.001 (0.008)	Loss 1.6127 (1.6028)	Prec@1 57.000 (56.809)	Prec@5 84.000 (84.865)
Epoch: [88][310/9018]	Time 0.611 (0.621)	Data 0.001 (0.008)	Loss 1.6047 (1.6020)	Prec@1 59.000 (56.789)	Prec@5 84.000 (84.900)
Epoch: [88][320/9018]	Time 0.615 (0.621)	Data 0.001 (0.008)	Loss 1.7552 (1.6044)	Prec@1 51.500 (56.771)	Prec@5 86.000 (84.874)
Epoch: [88][330/9018]	Time 0.600 (0.620)	Data 0.001 (0.008)	Loss 1.4314 (1.6039)	Prec@1 62.500 (56.819)	Prec@5 88.500 (84.882)
Epoch: [88][340/9018]	Time 0.596 (0.620)	Data 0.001 (0.007)	Loss 1.4685 (1.6029)	Prec@1 54.500 (56.804)	Prec@5 89.500 (84.887)
Epoch: [88][350/9018]	Time 0.601 (0.620)	Data 0.001 (0.007)	Loss 1.7133 (1.6033)	Prec@1 52.000 (56.798)	Prec@5 83.500 (84.887)
Epoch: [88][360/9018]	Time 0.646 (0.620)	Data 0.001 (0.007)	Loss 1.6161 (1.6041)	Prec@1 55.000 (56.740)	Prec@5 87.000 (84.902)
Epoch: [88][370/9018]	Time 0.589 (0.620)	Data 0.001 (0.007)	Loss 1.5301 (1.6038)	Prec@1 57.000 (56.764)	Prec@5 85.000 (84.900)
Epoch: [88][380/9018]	Time 0.596 (0.619)	Data 0.001 (0.007)	Loss 1.7504 (1.6038)	Prec@1 51.500 (56.766)	Prec@5 83.500 (84.896)
Epoch: [88][390/9018]	Time 0.599 (0.620)	Data 0.001 (0.007)	Loss 1.7365 (1.6044)	Prec@1 54.500 (56.790)	Prec@5 83.500 (84.907)
Epoch: [88][400/9018]	Time 0.733 (0.619)	Data 0.001 (0.006)	Loss 1.5202 (1.6040)	Prec@1 57.000 (56.803)	Prec@5 84.500 (84.900)
Epoch: [88][410/9018]	Time 0.606 (0.619)	Data 0.001 (0.006)	Loss 1.6782 (1.6039)	Prec@1 54.500 (56.764)	Prec@5 82.500 (84.922)
Epoch: [88][420/9018]	Time 0.601 (0.619)	Data 0.001 (0.006)	Loss 1.6368 (1.6034)	Prec@1 57.500 (56.786)	Prec@5 85.500 (84.929)
Epoch: [88][430/9018]	Time 0.604 (0.618)	Data 0.002 (0.006)	Loss 1.6207 (1.6022)	Prec@1 57.500 (56.806)	Prec@5 85.000 (84.943)
Epoch: [88][440/9018]	Time 0.599 (0.618)	Data 0.001 (0.006)	Loss 1.7193 (1.6034)	Prec@1 61.500 (56.778)	Prec@5 84.000 (84.926)
Epoch: [88][450/9018]	Time 0.757 (0.618)	Data 0.001 (0.006)	Loss 1.7382 (1.6056)	Prec@1 53.000 (56.710)	Prec@5 84.500 (84.890)
Epoch: [88][460/9018]	Time 0.602 (0.618)	Data 0.001 (0.006)	Loss 1.4168 (1.6051)	Prec@1 64.000 (56.745)	Prec@5 89.500 (84.902)
Epoch: [88][470/9018]	Time 0.587 (0.618)	Data 0.001 (0.006)	Loss 1.6041 (1.6043)	Prec@1 55.500 (56.746)	Prec@5 85.000 (84.912)
Epoch: [88][480/9018]	Time 0.600 (0.618)	Data 0.001 (0.005)	Loss 1.7051 (1.6056)	Prec@1 55.000 (56.716)	Prec@5 80.000 (84.894)
Epoch: [88][490/9018]	Time 0.601 (0.618)	Data 0.001 (0.005)	Loss 1.5940 (1.6047)	Prec@1 57.500 (56.733)	Prec@5 86.000 (84.928)
Epoch: [88][500/9018]	Time 0.595 (0.618)	Data 0.001 (0.005)	Loss 1.5023 (1.6036)	Prec@1 62.000 (56.775)	Prec@5 86.500 (84.940)
Epoch: [88][510/9018]	Time 0.600 (0.617)	Data 0.001 (0.005)	Loss 1.4124 (1.6029)	Prec@1 62.000 (56.776)	Prec@5 86.500 (84.953)
Epoch: [88][520/9018]	Time 0.594 (0.617)	Data 0.001 (0.005)	Loss 1.6489 (1.6032)	Prec@1 58.500 (56.773)	Prec@5 82.000 (84.954)
Epoch: [88][530/9018]	Time 0.594 (0.617)	Data 0.001 (0.005)	Loss 1.7324 (1.6029)	Prec@1 54.500 (56.788)	Prec@5 83.000 (84.952)
Epoch: [88][540/9018]	Time 0.592 (0.617)	Data 0.001 (0.005)	Loss 1.5972 (1.6032)	Prec@1 57.500 (56.769)	Prec@5 84.000 (84.951)
Epoch: [88][550/9018]	Time 0.599 (0.617)	Data 0.001 (0.005)	Loss 1.4446 (1.6026)	Prec@1 58.000 (56.790)	Prec@5 87.500 (84.963)
Epoch: [88][560/9018]	Time 0.598 (0.616)	Data 0.001 (0.005)	Loss 1.4949 (1.6014)	Prec@1 60.000 (56.816)	Prec@5 85.500 (84.968)
Epoch: [88][570/9018]	Time 0.599 (0.616)	Data 0.001 (0.005)	Loss 1.5659 (1.6026)	Prec@1 56.000 (56.806)	Prec@5 86.500 (84.935)
Epoch: [88][580/9018]	Time 0.607 (0.616)	Data 0.001 (0.005)	Loss 1.4098 (1.6020)	Prec@1 62.000 (56.826)	Prec@5 85.000 (84.934)
Epoch: [88][590/9018]	Time 0.606 (0.616)	Data 0.001 (0.005)	Loss 1.6130 (1.6022)	Prec@1 56.500 (56.818)	Prec@5 86.000 (84.936)
Epoch: [88][600/9018]	Time 0.600 (0.616)	Data 0.001 (0.005)	Loss 1.5157 (1.6008)	Prec@1 58.000 (56.839)	Prec@5 85.500 (84.960)
Epoch: [88][610/9018]	Time 0.595 (0.616)	Data 0.001 (0.004)	Loss 1.7110 (1.6010)	Prec@1 53.500 (56.837)	Prec@5 84.000 (84.950)
Epoch: [88][620/9018]	Time 0.602 (0.616)	Data 0.001 (0.004)	Loss 1.4548 (1.6011)	Prec@1 61.000 (56.833)	Prec@5 89.500 (84.953)
Epoch: [88][630/9018]	Time 0.601 (0.616)	Data 0.001 (0.004)	Loss 1.6427 (1.6016)	Prec@1 55.000 (56.823)	Prec@5 86.500 (84.944)
Epoch: [88][640/9018]	Time 0.599 (0.616)	Data 0.001 (0.004)	Loss 1.5608 (1.6032)	Prec@1 57.000 (56.778)	Prec@5 86.500 (84.923)
Epoch: [88][650/9018]	Time 0.617 (0.616)	Data 0.001 (0.004)	Loss 1.5606 (1.6031)	Prec@1 57.000 (56.800)	Prec@5 88.000 (84.922)
Epoch: [88][660/9018]	Time 0.605 (0.615)	Data 0.001 (0.004)	Loss 1.6488 (1.6029)	Prec@1 54.500 (56.810)	Prec@5 84.000 (84.930)
Epoch: [88][670/9018]	Time 0.599 (0.615)	Data 0.001 (0.004)	Loss 1.5350 (1.6032)	Prec@1 56.000 (56.802)	Prec@5 88.000 (84.924)
Epoch: [88][680/9018]	Time 0.588 (0.615)	Data 0.001 (0.004)	Loss 1.6793 (1.6034)	Prec@1 57.000 (56.805)	Prec@5 86.000 (84.927)
Epoch: [88][690/9018]	Time 0.597 (0.615)	Data 0.001 (0.004)	Loss 1.3344 (1.6020)	Prec@1 64.000 (56.844)	Prec@5 88.500 (84.946)
Epoch: [88][700/9018]	Time 0.596 (0.615)	Data 0.001 (0.004)	Loss 1.5612 (1.6029)	Prec@1 58.000 (56.807)	Prec@5 86.500 (84.931)
Epoch: [88][710/9018]	Time 0.604 (0.615)	Data 0.001 (0.004)	Loss 1.3264 (1.6036)	Prec@1 61.000 (56.783)	Prec@5 89.000 (84.914)
Epoch: [88][720/9018]	Time 0.594 (0.615)	Data 0.001 (0.004)	Loss 1.5825 (1.6037)	Prec@1 56.500 (56.790)	Prec@5 82.000 (84.906)
Epoch: [88][730/9018]	Time 0.749 (0.615)	Data 0.001 (0.004)	Loss 1.4005 (1.6027)	Prec@1 59.500 (56.783)	Prec@5 89.000 (84.927)
Epoch: [88][740/9018]	Time 0.629 (0.615)	Data 0.001 (0.004)	Loss 1.6243 (1.6035)	Prec@1 53.500 (56.762)	Prec@5 83.500 (84.919)
Epoch: [88][750/9018]	Time 0.599 (0.615)	Data 0.001 (0.004)	Loss 1.5441 (1.6043)	Prec@1 58.500 (56.735)	Prec@5 84.500 (84.920)
Epoch: [88][760/9018]	Time 0.596 (0.615)	Data 0.001 (0.004)	Loss 1.6845 (1.6039)	Prec@1 57.500 (56.735)	Prec@5 81.000 (84.925)
Epoch: [88][770/9018]	Time 0.603 (0.615)	Data 0.001 (0.004)	Loss 1.6999 (1.6043)	Prec@1 52.500 (56.732)	Prec@5 80.000 (84.918)
Epoch: [88][780/9018]	Time 0.707 (0.614)	Data 0.001 (0.004)	Loss 1.4329 (1.6042)	Prec@1 61.000 (56.738)	Prec@5 87.000 (84.917)
Epoch: [88][790/9018]	Time 0.595 (0.614)	Data 0.001 (0.004)	Loss 1.7132 (1.6053)	Prec@1 57.000 (56.707)	Prec@5 82.500 (84.908)
Epoch: [88][800/9018]	Time 0.601 (0.614)	Data 0.001 (0.004)	Loss 1.4541 (1.6045)	Prec@1 59.000 (56.709)	Prec@5 87.000 (84.916)
Epoch: [88][810/9018]	Time 0.594 (0.614)	Data 0.001 (0.004)	Loss 1.5363 (1.6047)	Prec@1 60.000 (56.703)	Prec@5 86.000 (84.914)
Epoch: [88][820/9018]	Time 0.597 (0.614)	Data 0.001 (0.004)	Loss 1.6561 (1.6048)	Prec@1 54.500 (56.698)	Prec@5 82.000 (84.910)
Epoch: [88][830/9018]	Time 0.606 (0.614)	Data 0.001 (0.003)	Loss 1.6436 (1.6057)	Prec@1 57.000 (56.685)	Prec@5 85.000 (84.902)
Epoch: [88][840/9018]	Time 0.599 (0.614)	Data 0.001 (0.003)	Loss 1.6215 (1.6056)	Prec@1 58.000 (56.690)	Prec@5 84.500 (84.902)
Epoch: [88][850/9018]	Time 0.599 (0.614)	Data 0.001 (0.003)	Loss 1.6048 (1.6061)	Prec@1 58.000 (56.679)	Prec@5 85.000 (84.895)
Epoch: [88][860/9018]	Time 0.633 (0.614)	Data 0.001 (0.003)	Loss 1.6574 (1.6064)	Prec@1 52.000 (56.666)	Prec@5 83.500 (84.888)
Epoch: [88][870/9018]	Time 0.603 (0.614)	Data 0.001 (0.003)	Loss 1.6290 (1.6068)	Prec@1 57.500 (56.671)	Prec@5 84.000 (84.874)
Epoch: [88][880/9018]	Time 0.605 (0.614)	Data 0.001 (0.003)	Loss 1.5070 (1.6074)	Prec@1 58.000 (56.661)	Prec@5 84.500 (84.852)
Epoch: [88][890/9018]	Time 0.593 (0.614)	Data 0.001 (0.003)	Loss 1.4306 (1.6073)	Prec@1 55.000 (56.651)	Prec@5 89.500 (84.860)
Epoch: [88][900/9018]	Time 0.594 (0.614)	Data 0.001 (0.003)	Loss 1.4804 (1.6076)	Prec@1 58.000 (56.644)	Prec@5 90.000 (84.856)
Epoch: [88][910/9018]	Time 0.594 (0.613)	Data 0.001 (0.003)	Loss 1.6234 (1.6076)	Prec@1 59.000 (56.653)	Prec@5 83.000 (84.858)
Epoch: [88][920/9018]	Time 0.596 (0.613)	Data 0.001 (0.003)	Loss 1.4435 (1.6074)	Prec@1 58.000 (56.652)	Prec@5 89.500 (84.865)
Epoch: [88][930/9018]	Time 0.601 (0.613)	Data 0.001 (0.003)	Loss 1.6633 (1.6076)	Prec@1 56.500 (56.662)	Prec@5 83.500 (84.859)
Epoch: [88][940/9018]	Time 0.597 (0.613)	Data 0.001 (0.003)	Loss 1.6225 (1.6075)	Prec@1 56.500 (56.674)	Prec@5 82.000 (84.850)
Epoch: [88][950/9018]	Time 0.604 (0.613)	Data 0.001 (0.003)	Loss 1.7992 (1.6074)	Prec@1 52.500 (56.687)	Prec@5 80.000 (84.848)
Epoch: [88][960/9018]	Time 0.601 (0.613)	Data 0.001 (0.003)	Loss 1.3505 (1.6070)	Prec@1 60.500 (56.691)	Prec@5 89.000 (84.854)
Epoch: [88][970/9018]	Time 0.601 (0.613)	Data 0.001 (0.003)	Loss 1.5418 (1.6072)	Prec@1 60.500 (56.697)	Prec@5 84.000 (84.849)
Epoch: [88][980/9018]	Time 0.598 (0.613)	Data 0.001 (0.003)	Loss 1.5214 (1.6073)	Prec@1 57.500 (56.685)	Prec@5 85.500 (84.843)
Epoch: [88][990/9018]	Time 0.594 (0.613)	Data 0.001 (0.003)	Loss 1.5595 (1.6071)	Prec@1 63.500 (56.688)	Prec@5 83.000 (84.835)
Epoch: [88][1000/9018]	Time 0.633 (0.613)	Data 0.001 (0.003)	Loss 1.8383 (1.6078)	Prec@1 52.500 (56.683)	Prec@5 80.500 (84.815)
Epoch: [88][1010/9018]	Time 0.599 (0.613)	Data 0.001 (0.003)	Loss 1.7460 (1.6084)	Prec@1 56.500 (56.671)	Prec@5 81.000 (84.809)
Epoch: [88][1020/9018]	Time 0.600 (0.613)	Data 0.001 (0.003)	Loss 1.4262 (1.6081)	Prec@1 59.500 (56.673)	Prec@5 86.500 (84.813)
Epoch: [88][1030/9018]	Time 0.596 (0.613)	Data 0.001 (0.003)	Loss 1.5654 (1.6083)	Prec@1 58.500 (56.658)	Prec@5 83.500 (84.818)
Epoch: [88][1040/9018]	Time 0.593 (0.613)	Data 0.001 (0.003)	Loss 1.5915 (1.6085)	Prec@1 55.000 (56.650)	Prec@5 85.000 (84.817)
Epoch: [88][1050/9018]	Time 0.599 (0.613)	Data 0.001 (0.003)	Loss 1.7141 (1.6090)	Prec@1 58.500 (56.644)	Prec@5 82.500 (84.803)
Epoch: [88][1060/9018]	Time 0.737 (0.613)	Data 0.001 (0.003)	Loss 1.7678 (1.6090)	Prec@1 51.500 (56.639)	Prec@5 83.000 (84.801)
Epoch: [88][1070/9018]	Time 0.611 (0.613)	Data 0.001 (0.003)	Loss 1.3808 (1.6087)	Prec@1 59.500 (56.639)	Prec@5 91.500 (84.813)
Epoch: [88][1080/9018]	Time 0.631 (0.613)	Data 0.001 (0.003)	Loss 1.7138 (1.6087)	Prec@1 54.500 (56.640)	Prec@5 81.000 (84.821)
Epoch: [88][1090/9018]	Time 0.600 (0.613)	Data 0.001 (0.003)	Loss 1.5911 (1.6085)	Prec@1 52.500 (56.652)	Prec@5 89.000 (84.820)
Epoch: [88][1100/9018]	Time 0.597 (0.613)	Data 0.001 (0.003)	Loss 1.5485 (1.6085)	Prec@1 55.000 (56.656)	Prec@5 88.000 (84.827)
Epoch: [88][1110/9018]	Time 0.724 (0.613)	Data 0.001 (0.003)	Loss 1.3535 (1.6086)	Prec@1 64.500 (56.645)	Prec@5 87.500 (84.824)
Epoch: [88][1120/9018]	Time 0.596 (0.613)	Data 0.001 (0.003)	Loss 1.3158 (1.6085)	Prec@1 61.000 (56.643)	Prec@5 91.500 (84.829)
Epoch: [88][1130/9018]	Time 0.598 (0.613)	Data 0.001 (0.003)	Loss 1.5805 (1.6084)	Prec@1 56.500 (56.641)	Prec@5 87.500 (84.834)
Epoch: [88][1140/9018]	Time 0.607 (0.612)	Data 0.001 (0.003)	Loss 1.4441 (1.6084)	Prec@1 61.500 (56.640)	Prec@5 88.500 (84.839)
Epoch: [88][1150/9018]	Time 0.601 (0.612)	Data 0.001 (0.003)	Loss 1.7012 (1.6080)	Prec@1 57.500 (56.651)	Prec@5 83.500 (84.845)
Epoch: [88][1160/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 1.8284 (1.6082)	Prec@1 55.500 (56.648)	Prec@5 80.000 (84.845)
Epoch: [88][1170/9018]	Time 0.604 (0.612)	Data 0.001 (0.003)	Loss 1.7626 (1.6088)	Prec@1 51.500 (56.630)	Prec@5 80.500 (84.829)
Epoch: [88][1180/9018]	Time 0.592 (0.612)	Data 0.001 (0.003)	Loss 1.5838 (1.6097)	Prec@1 54.500 (56.608)	Prec@5 86.000 (84.807)
Epoch: [88][1190/9018]	Time 0.593 (0.612)	Data 0.001 (0.003)	Loss 1.5405 (1.6096)	Prec@1 58.500 (56.607)	Prec@5 87.000 (84.817)
Epoch: [88][1200/9018]	Time 0.622 (0.612)	Data 0.001 (0.003)	Loss 1.5537 (1.6097)	Prec@1 56.500 (56.594)	Prec@5 83.500 (84.816)
Epoch: [88][1210/9018]	Time 0.605 (0.612)	Data 0.001 (0.003)	Loss 1.4652 (1.6099)	Prec@1 58.500 (56.590)	Prec@5 84.500 (84.814)
Epoch: [88][1220/9018]	Time 0.598 (0.612)	Data 0.001 (0.003)	Loss 1.6484 (1.6099)	Prec@1 51.000 (56.585)	Prec@5 86.500 (84.821)
Epoch: [88][1230/9018]	Time 0.594 (0.612)	Data 0.001 (0.003)	Loss 1.5114 (1.6101)	Prec@1 58.500 (56.584)	Prec@5 85.500 (84.819)
Epoch: [88][1240/9018]	Time 0.599 (0.612)	Data 0.001 (0.003)	Loss 1.6017 (1.6098)	Prec@1 58.500 (56.598)	Prec@5 83.000 (84.823)
Epoch: [88][1250/9018]	Time 0.604 (0.612)	Data 0.001 (0.003)	Loss 1.5730 (1.6099)	Prec@1 57.500 (56.595)	Prec@5 88.000 (84.823)
Epoch: [88][1260/9018]	Time 0.622 (0.612)	Data 0.001 (0.003)	Loss 1.4277 (1.6097)	Prec@1 60.000 (56.594)	Prec@5 86.000 (84.816)
Epoch: [88][1270/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 1.7059 (1.6096)	Prec@1 54.500 (56.596)	Prec@5 83.500 (84.821)
Epoch: [88][1280/9018]	Time 0.588 (0.612)	Data 0.001 (0.003)	Loss 1.6576 (1.6092)	Prec@1 57.500 (56.612)	Prec@5 87.000 (84.828)
Epoch: [88][1290/9018]	Time 0.597 (0.612)	Data 0.001 (0.003)	Loss 1.6364 (1.6095)	Prec@1 48.500 (56.603)	Prec@5 87.000 (84.825)
Epoch: [88][1300/9018]	Time 0.638 (0.612)	Data 0.001 (0.002)	Loss 1.6285 (1.6090)	Prec@1 57.500 (56.621)	Prec@5 83.000 (84.833)
Epoch: [88][1310/9018]	Time 0.610 (0.612)	Data 0.001 (0.002)	Loss 1.6394 (1.6086)	Prec@1 54.000 (56.619)	Prec@5 83.500 (84.840)
Epoch: [88][1320/9018]	Time 0.598 (0.612)	Data 0.001 (0.002)	Loss 1.5696 (1.6090)	Prec@1 59.000 (56.616)	Prec@5 86.000 (84.835)
Epoch: [88][1330/9018]	Time 0.625 (0.612)	Data 0.001 (0.002)	Loss 1.5651 (1.6085)	Prec@1 57.000 (56.627)	Prec@5 86.500 (84.849)
Epoch: [88][1340/9018]	Time 0.605 (0.612)	Data 0.001 (0.002)	Loss 1.4503 (1.6084)	Prec@1 62.000 (56.635)	Prec@5 86.000 (84.846)
Epoch: [88][1350/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 1.4704 (1.6080)	Prec@1 63.500 (56.647)	Prec@5 86.000 (84.850)
Epoch: [88][1360/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 1.6410 (1.6082)	Prec@1 55.500 (56.641)	Prec@5 86.500 (84.848)
Epoch: [88][1370/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 1.3984 (1.6081)	Prec@1 58.500 (56.635)	Prec@5 88.000 (84.858)
Epoch: [88][1380/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 1.7293 (1.6080)	Prec@1 50.000 (56.630)	Prec@5 82.500 (84.863)
Epoch: [88][1390/9018]	Time 0.763 (0.612)	Data 0.001 (0.002)	Loss 1.6210 (1.6083)	Prec@1 54.500 (56.619)	Prec@5 84.500 (84.859)
Epoch: [88][1400/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.8097 (1.6082)	Prec@1 54.000 (56.618)	Prec@5 79.500 (84.860)
Epoch: [88][1410/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 1.6665 (1.6082)	Prec@1 51.500 (56.620)	Prec@5 85.500 (84.864)
Epoch: [88][1420/9018]	Time 0.616 (0.612)	Data 0.001 (0.002)	Loss 1.6527 (1.6082)	Prec@1 56.000 (56.628)	Prec@5 85.000 (84.855)
Epoch: [88][1430/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.6436 (1.6077)	Prec@1 58.000 (56.643)	Prec@5 84.500 (84.859)
Epoch: [88][1440/9018]	Time 0.728 (0.612)	Data 0.001 (0.002)	Loss 1.5634 (1.6080)	Prec@1 57.500 (56.641)	Prec@5 89.000 (84.851)
Epoch: [88][1450/9018]	Time 0.593 (0.612)	Data 0.001 (0.002)	Loss 1.6529 (1.6077)	Prec@1 50.500 (56.641)	Prec@5 84.000 (84.859)
Epoch: [88][1460/9018]	Time 0.592 (0.612)	Data 0.001 (0.002)	Loss 1.4577 (1.6075)	Prec@1 61.000 (56.650)	Prec@5 87.000 (84.861)
Epoch: [88][1470/9018]	Time 0.599 (0.612)	Data 0.001 (0.002)	Loss 1.6516 (1.6073)	Prec@1 53.000 (56.662)	Prec@5 84.000 (84.864)
Epoch: [88][1480/9018]	Time 0.619 (0.612)	Data 0.001 (0.002)	Loss 1.5077 (1.6079)	Prec@1 58.500 (56.644)	Prec@5 87.000 (84.855)
Epoch: [88][1490/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 1.4620 (1.6074)	Prec@1 61.000 (56.652)	Prec@5 87.000 (84.864)
Epoch: [88][1500/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 1.7427 (1.6073)	Prec@1 54.500 (56.653)	Prec@5 80.500 (84.862)
Epoch: [88][1510/9018]	Time 0.592 (0.612)	Data 0.001 (0.002)	Loss 1.6514 (1.6072)	Prec@1 58.500 (56.664)	Prec@5 83.500 (84.861)
Epoch: [88][1520/9018]	Time 0.593 (0.612)	Data 0.001 (0.002)	Loss 1.5360 (1.6070)	Prec@1 62.000 (56.667)	Prec@5 87.500 (84.867)
Epoch: [88][1530/9018]	Time 0.592 (0.612)	Data 0.001 (0.002)	Loss 1.4433 (1.6070)	Prec@1 62.000 (56.668)	Prec@5 86.000 (84.860)
Epoch: [88][1540/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 1.5936 (1.6072)	Prec@1 60.500 (56.669)	Prec@5 84.000 (84.858)
Epoch: [88][1550/9018]	Time 0.596 (0.612)	Data 0.001 (0.002)	Loss 1.6397 (1.6070)	Prec@1 51.500 (56.664)	Prec@5 85.000 (84.859)
Epoch: [88][1560/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 1.6382 (1.6069)	Prec@1 52.500 (56.660)	Prec@5 86.000 (84.862)
Epoch: [88][1570/9018]	Time 0.600 (0.612)	Data 0.001 (0.002)	Loss 1.4524 (1.6068)	Prec@1 61.000 (56.662)	Prec@5 87.000 (84.859)
Epoch: [88][1580/9018]	Time 0.612 (0.612)	Data 0.001 (0.002)	Loss 1.4811 (1.6071)	Prec@1 64.500 (56.660)	Prec@5 85.500 (84.857)
Epoch: [88][1590/9018]	Time 0.601 (0.612)	Data 0.001 (0.002)	Loss 1.5782 (1.6071)	Prec@1 59.500 (56.664)	Prec@5 85.500 (84.856)
Epoch: [88][1600/9018]	Time 0.590 (0.612)	Data 0.001 (0.002)	Loss 1.6492 (1.6072)	Prec@1 55.500 (56.661)	Prec@5 81.500 (84.854)
Epoch: [88][1610/9018]	Time 0.594 (0.612)	Data 0.001 (0.002)	Loss 1.4144 (1.6075)	Prec@1 58.000 (56.647)	Prec@5 91.000 (84.853)
Epoch: [88][1620/9018]	Time 0.590 (0.612)	Data 0.001 (0.002)	Loss 1.6306 (1.6073)	Prec@1 58.500 (56.660)	Prec@5 82.500 (84.853)
Epoch: [88][1630/9018]	Time 0.604 (0.612)	Data 0.001 (0.002)	Loss 1.6597 (1.6071)	Prec@1 53.000 (56.662)	Prec@5 83.500 (84.858)
Epoch: [88][1640/9018]	Time 0.597 (0.612)	Data 0.001 (0.002)	Loss 1.4062 (1.6070)	Prec@1 63.500 (56.666)	Prec@5 88.500 (84.860)
Epoch: [88][1650/9018]	Time 0.595 (0.612)	Data 0.001 (0.002)	Loss 1.5641 (1.6069)	Prec@1 58.500 (56.670)	Prec@5 87.000 (84.862)
Epoch: [88][1660/9018]	Time 0.592 (0.612)	Data 0.001 (0.002)	Loss 1.5356 (1.6070)	Prec@1 56.500 (56.664)	Prec@5 87.500 (84.862)
Epoch: [88][1670/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.4946 (1.6065)	Prec@1 58.500 (56.678)	Prec@5 85.000 (84.871)
Epoch: [88][1680/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.6618 (1.6062)	Prec@1 55.000 (56.690)	Prec@5 82.000 (84.873)
Epoch: [88][1690/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.6065 (1.6062)	Prec@1 56.500 (56.688)	Prec@5 86.500 (84.881)
Epoch: [88][1700/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 1.6927 (1.6061)	Prec@1 56.500 (56.690)	Prec@5 84.000 (84.881)
Epoch: [88][1710/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 1.4891 (1.6062)	Prec@1 56.500 (56.691)	Prec@5 85.500 (84.879)
Epoch: [88][1720/9018]	Time 0.749 (0.611)	Data 0.001 (0.002)	Loss 1.5308 (1.6058)	Prec@1 56.500 (56.699)	Prec@5 86.500 (84.886)
Epoch: [88][1730/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 1.5191 (1.6060)	Prec@1 61.000 (56.692)	Prec@5 88.000 (84.885)
Epoch: [88][1740/9018]	Time 0.614 (0.611)	Data 0.001 (0.002)	Loss 1.4913 (1.6060)	Prec@1 60.000 (56.690)	Prec@5 88.000 (84.881)
Epoch: [88][1750/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 1.7427 (1.6061)	Prec@1 54.000 (56.692)	Prec@5 85.000 (84.883)
Epoch: [88][1760/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.4843 (1.6063)	Prec@1 62.500 (56.691)	Prec@5 85.000 (84.879)
Epoch: [88][1770/9018]	Time 0.730 (0.611)	Data 0.001 (0.002)	Loss 1.6998 (1.6064)	Prec@1 55.500 (56.684)	Prec@5 83.000 (84.883)
Epoch: [88][1780/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 1.3577 (1.6059)	Prec@1 67.500 (56.702)	Prec@5 89.000 (84.890)
Epoch: [88][1790/9018]	Time 0.609 (0.611)	Data 0.001 (0.002)	Loss 1.6948 (1.6061)	Prec@1 54.500 (56.697)	Prec@5 84.000 (84.885)
Epoch: [88][1800/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.6950 (1.6063)	Prec@1 57.000 (56.694)	Prec@5 79.500 (84.878)
Epoch: [88][1810/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.6993 (1.6063)	Prec@1 52.000 (56.695)	Prec@5 84.000 (84.881)
Epoch: [88][1820/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.5759 (1.6063)	Prec@1 58.500 (56.690)	Prec@5 83.500 (84.876)
Epoch: [88][1830/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.4656 (1.6061)	Prec@1 58.000 (56.688)	Prec@5 90.500 (84.881)
Epoch: [88][1840/9018]	Time 0.611 (0.611)	Data 0.001 (0.002)	Loss 1.6085 (1.6058)	Prec@1 53.500 (56.696)	Prec@5 85.000 (84.881)
Epoch: [88][1850/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.6699 (1.6061)	Prec@1 54.000 (56.689)	Prec@5 85.000 (84.877)
Epoch: [88][1860/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.5400 (1.6061)	Prec@1 56.500 (56.687)	Prec@5 86.000 (84.877)
Epoch: [88][1870/9018]	Time 0.633 (0.611)	Data 0.001 (0.002)	Loss 1.6054 (1.6060)	Prec@1 62.500 (56.687)	Prec@5 86.000 (84.880)
Epoch: [88][1880/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.6134 (1.6060)	Prec@1 57.500 (56.679)	Prec@5 83.500 (84.883)
Epoch: [88][1890/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.5220 (1.6059)	Prec@1 61.500 (56.686)	Prec@5 88.000 (84.884)
Epoch: [88][1900/9018]	Time 0.591 (0.611)	Data 0.001 (0.002)	Loss 1.6420 (1.6059)	Prec@1 55.500 (56.689)	Prec@5 84.500 (84.886)
Epoch: [88][1910/9018]	Time 0.597 (0.611)	Data 0.001 (0.002)	Loss 1.6055 (1.6059)	Prec@1 55.500 (56.687)	Prec@5 85.500 (84.890)
Epoch: [88][1920/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.3816 (1.6058)	Prec@1 60.500 (56.688)	Prec@5 86.000 (84.891)
Epoch: [88][1930/9018]	Time 0.625 (0.611)	Data 0.001 (0.002)	Loss 1.7816 (1.6059)	Prec@1 54.500 (56.691)	Prec@5 84.000 (84.887)
Epoch: [88][1940/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.7209 (1.6064)	Prec@1 57.500 (56.680)	Prec@5 83.500 (84.879)
Epoch: [88][1950/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.8217 (1.6069)	Prec@1 53.000 (56.669)	Prec@5 84.500 (84.873)
Epoch: [88][1960/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.3574 (1.6066)	Prec@1 62.500 (56.671)	Prec@5 88.000 (84.878)
Epoch: [88][1970/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.6401 (1.6066)	Prec@1 57.500 (56.669)	Prec@5 81.500 (84.875)
Epoch: [88][1980/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.7640 (1.6065)	Prec@1 55.500 (56.674)	Prec@5 82.000 (84.877)
Epoch: [88][1990/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.6100 (1.6068)	Prec@1 56.000 (56.666)	Prec@5 87.500 (84.876)
Epoch: [88][2000/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.7631 (1.6069)	Prec@1 58.500 (56.670)	Prec@5 81.000 (84.874)
Epoch: [88][2010/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.4453 (1.6069)	Prec@1 58.000 (56.671)	Prec@5 87.500 (84.875)
Epoch: [88][2020/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.6821 (1.6072)	Prec@1 51.000 (56.667)	Prec@5 87.500 (84.870)
Epoch: [88][2030/9018]	Time 0.605 (0.611)	Data 0.001 (0.002)	Loss 1.7516 (1.6073)	Prec@1 53.500 (56.667)	Prec@5 82.500 (84.870)
Epoch: [88][2040/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.5088 (1.6075)	Prec@1 61.500 (56.664)	Prec@5 86.500 (84.864)
Epoch: [88][2050/9018]	Time 0.749 (0.611)	Data 0.001 (0.002)	Loss 1.6359 (1.6078)	Prec@1 57.500 (56.656)	Prec@5 83.000 (84.859)
Epoch: [88][2060/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.6046 (1.6077)	Prec@1 56.500 (56.661)	Prec@5 81.000 (84.853)
Epoch: [88][2070/9018]	Time 0.624 (0.611)	Data 0.001 (0.002)	Loss 1.6681 (1.6074)	Prec@1 51.500 (56.663)	Prec@5 85.500 (84.861)
Epoch: [88][2080/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.4690 (1.6073)	Prec@1 60.000 (56.665)	Prec@5 89.000 (84.864)
Epoch: [88][2090/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.5516 (1.6073)	Prec@1 55.500 (56.662)	Prec@5 85.500 (84.864)
Epoch: [88][2100/9018]	Time 0.728 (0.611)	Data 0.001 (0.002)	Loss 1.6096 (1.6075)	Prec@1 59.500 (56.664)	Prec@5 82.000 (84.862)
Epoch: [88][2110/9018]	Time 0.602 (0.611)	Data 0.001 (0.002)	Loss 1.4396 (1.6071)	Prec@1 59.000 (56.674)	Prec@5 90.000 (84.871)
Epoch: [88][2120/9018]	Time 0.590 (0.611)	Data 0.001 (0.002)	Loss 1.6413 (1.6072)	Prec@1 56.000 (56.672)	Prec@5 85.000 (84.869)
Epoch: [88][2130/9018]	Time 0.621 (0.611)	Data 0.001 (0.002)	Loss 1.6167 (1.6073)	Prec@1 56.000 (56.670)	Prec@5 83.000 (84.870)
Epoch: [88][2140/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 1.4703 (1.6071)	Prec@1 56.000 (56.671)	Prec@5 87.500 (84.873)
Epoch: [88][2150/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.6222 (1.6072)	Prec@1 54.500 (56.665)	Prec@5 84.500 (84.872)
Epoch: [88][2160/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.8043 (1.6073)	Prec@1 53.500 (56.665)	Prec@5 83.500 (84.869)
Epoch: [88][2170/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.6453 (1.6074)	Prec@1 56.000 (56.663)	Prec@5 83.500 (84.865)
Epoch: [88][2180/9018]	Time 0.592 (0.611)	Data 0.001 (0.002)	Loss 1.4559 (1.6075)	Prec@1 56.000 (56.656)	Prec@5 91.000 (84.866)
Epoch: [88][2190/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.7101 (1.6080)	Prec@1 56.000 (56.649)	Prec@5 79.500 (84.856)
Epoch: [88][2200/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.3767 (1.6080)	Prec@1 64.500 (56.651)	Prec@5 87.000 (84.855)
Epoch: [88][2210/9018]	Time 0.596 (0.611)	Data 0.001 (0.002)	Loss 1.5769 (1.6078)	Prec@1 57.500 (56.652)	Prec@5 85.500 (84.860)
Epoch: [88][2220/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 1.8075 (1.6081)	Prec@1 48.000 (56.645)	Prec@5 80.500 (84.853)
Epoch: [88][2230/9018]	Time 0.621 (0.611)	Data 0.001 (0.002)	Loss 1.4132 (1.6080)	Prec@1 62.000 (56.644)	Prec@5 87.000 (84.854)
Epoch: [88][2240/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.7517 (1.6080)	Prec@1 52.000 (56.645)	Prec@5 83.000 (84.856)
Epoch: [88][2250/9018]	Time 0.603 (0.611)	Data 0.001 (0.002)	Loss 1.3393 (1.6077)	Prec@1 66.000 (56.650)	Prec@5 88.500 (84.862)
Epoch: [88][2260/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.4982 (1.6080)	Prec@1 57.000 (56.651)	Prec@5 87.000 (84.859)
Epoch: [88][2270/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.8303 (1.6081)	Prec@1 51.000 (56.653)	Prec@5 81.000 (84.854)
Epoch: [88][2280/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.6546 (1.6083)	Prec@1 54.000 (56.653)	Prec@5 83.500 (84.851)
Epoch: [88][2290/9018]	Time 0.628 (0.611)	Data 0.001 (0.002)	Loss 1.7368 (1.6081)	Prec@1 54.500 (56.659)	Prec@5 82.000 (84.854)
Epoch: [88][2300/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.9337 (1.6085)	Prec@1 50.000 (56.647)	Prec@5 77.500 (84.849)
Epoch: [88][2310/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.4176 (1.6082)	Prec@1 63.500 (56.657)	Prec@5 87.500 (84.850)
Epoch: [88][2320/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.9789 (1.6084)	Prec@1 49.500 (56.653)	Prec@5 76.000 (84.847)
Epoch: [88][2330/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.4985 (1.6085)	Prec@1 56.000 (56.648)	Prec@5 88.500 (84.846)
Epoch: [88][2340/9018]	Time 0.598 (0.611)	Data 0.001 (0.002)	Loss 1.6656 (1.6089)	Prec@1 59.000 (56.646)	Prec@5 83.500 (84.842)
Epoch: [88][2350/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.7324 (1.6093)	Prec@1 54.500 (56.636)	Prec@5 83.500 (84.835)
Epoch: [88][2360/9018]	Time 0.615 (0.611)	Data 0.001 (0.002)	Loss 1.7555 (1.6093)	Prec@1 56.000 (56.634)	Prec@5 80.000 (84.830)
Epoch: [88][2370/9018]	Time 0.600 (0.611)	Data 0.001 (0.002)	Loss 1.8168 (1.6096)	Prec@1 55.000 (56.630)	Prec@5 80.500 (84.827)
Epoch: [88][2380/9018]	Time 0.732 (0.611)	Data 0.001 (0.002)	Loss 1.5269 (1.6099)	Prec@1 61.000 (56.624)	Prec@5 89.500 (84.818)
Epoch: [88][2390/9018]	Time 0.595 (0.611)	Data 0.001 (0.002)	Loss 1.5892 (1.6097)	Prec@1 57.500 (56.626)	Prec@5 84.000 (84.821)
Epoch: [88][2400/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.4755 (1.6092)	Prec@1 62.000 (56.634)	Prec@5 87.500 (84.828)
Epoch: [88][2410/9018]	Time 0.615 (0.611)	Data 0.001 (0.002)	Loss 1.5272 (1.6095)	Prec@1 58.500 (56.631)	Prec@5 84.500 (84.826)
Epoch: [88][2420/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.4535 (1.6095)	Prec@1 61.000 (56.632)	Prec@5 88.500 (84.827)
Epoch: [88][2430/9018]	Time 0.704 (0.611)	Data 0.001 (0.002)	Loss 1.6170 (1.6093)	Prec@1 60.500 (56.633)	Prec@5 83.000 (84.830)
Epoch: [88][2440/9018]	Time 0.593 (0.611)	Data 0.001 (0.002)	Loss 1.4921 (1.6092)	Prec@1 55.000 (56.634)	Prec@5 85.500 (84.832)
Epoch: [88][2450/9018]	Time 0.599 (0.611)	Data 0.001 (0.002)	Loss 1.7466 (1.6093)	Prec@1 53.500 (56.629)	Prec@5 80.000 (84.826)
Epoch: [88][2460/9018]	Time 0.607 (0.611)	Data 0.001 (0.002)	Loss 1.6503 (1.6093)	Prec@1 56.000 (56.633)	Prec@5 86.000 (84.828)
Epoch: [88][2470/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.5450 (1.6092)	Prec@1 58.500 (56.635)	Prec@5 87.500 (84.828)
Epoch: [88][2480/9018]	Time 0.604 (0.611)	Data 0.001 (0.002)	Loss 1.6253 (1.6092)	Prec@1 56.500 (56.632)	Prec@5 84.500 (84.831)
Epoch: [88][2490/9018]	Time 0.594 (0.611)	Data 0.001 (0.002)	Loss 1.7746 (1.6094)	Prec@1 51.500 (56.632)	Prec@5 80.500 (84.827)
Epoch: [88][2500/9018]	Time 0.601 (0.611)	Data 0.001 (0.002)	Loss 1.8881 (1.6094)	Prec@1 50.000 (56.629)	Prec@5 77.500 (84.832)
Epoch: [88][2510/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.7263 (1.6096)	Prec@1 53.500 (56.622)	Prec@5 81.000 (84.828)
Epoch: [88][2520/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.6566 (1.6097)	Prec@1 54.000 (56.618)	Prec@5 83.500 (84.826)
Epoch: [88][2530/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 1.7498 (1.6099)	Prec@1 51.000 (56.611)	Prec@5 84.500 (84.825)
Epoch: [88][2540/9018]	Time 0.621 (0.610)	Data 0.001 (0.002)	Loss 1.4102 (1.6097)	Prec@1 61.000 (56.612)	Prec@5 88.000 (84.827)
Epoch: [88][2550/9018]	Time 0.591 (0.611)	Data 0.001 (0.002)	Loss 1.6863 (1.6098)	Prec@1 59.500 (56.610)	Prec@5 84.000 (84.827)
Epoch: [88][2560/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 1.6287 (1.6097)	Prec@1 60.000 (56.616)	Prec@5 81.000 (84.825)
Epoch: [88][2570/9018]	Time 0.591 (0.610)	Data 0.001 (0.002)	Loss 1.5307 (1.6096)	Prec@1 56.500 (56.619)	Prec@5 85.500 (84.828)
Epoch: [88][2580/9018]	Time 0.627 (0.610)	Data 0.001 (0.002)	Loss 1.5457 (1.6095)	Prec@1 57.000 (56.620)	Prec@5 88.000 (84.832)
Epoch: [88][2590/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 1.6544 (1.6095)	Prec@1 55.000 (56.624)	Prec@5 83.500 (84.831)
Epoch: [88][2600/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.6385 (1.6097)	Prec@1 56.500 (56.619)	Prec@5 87.000 (84.826)
Epoch: [88][2610/9018]	Time 0.604 (0.610)	Data 0.001 (0.002)	Loss 1.6995 (1.6098)	Prec@1 53.500 (56.618)	Prec@5 82.500 (84.823)
Epoch: [88][2620/9018]	Time 0.620 (0.610)	Data 0.001 (0.002)	Loss 1.6504 (1.6101)	Prec@1 56.000 (56.610)	Prec@5 85.000 (84.819)
Epoch: [88][2630/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.7191 (1.6101)	Prec@1 59.000 (56.610)	Prec@5 82.500 (84.820)
Epoch: [88][2640/9018]	Time 0.593 (0.610)	Data 0.001 (0.002)	Loss 1.6660 (1.6103)	Prec@1 56.000 (56.601)	Prec@5 85.500 (84.821)
Epoch: [88][2650/9018]	Time 0.605 (0.610)	Data 0.001 (0.002)	Loss 1.5185 (1.6104)	Prec@1 62.000 (56.596)	Prec@5 86.500 (84.817)
Epoch: [88][2660/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.7375 (1.6105)	Prec@1 50.500 (56.593)	Prec@5 82.500 (84.813)
Epoch: [88][2670/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 1.8020 (1.6104)	Prec@1 49.500 (56.597)	Prec@5 83.000 (84.814)
Epoch: [88][2680/9018]	Time 0.591 (0.610)	Data 0.001 (0.002)	Loss 1.6471 (1.6107)	Prec@1 56.000 (56.593)	Prec@5 85.500 (84.809)
Epoch: [88][2690/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 1.7022 (1.6107)	Prec@1 55.000 (56.591)	Prec@5 83.500 (84.808)
Epoch: [88][2700/9018]	Time 0.592 (0.610)	Data 0.001 (0.002)	Loss 1.6289 (1.6106)	Prec@1 57.500 (56.594)	Prec@5 87.000 (84.812)
Epoch: [88][2710/9018]	Time 0.733 (0.610)	Data 0.001 (0.002)	Loss 1.6815 (1.6104)	Prec@1 57.500 (56.598)	Prec@5 81.500 (84.814)
Epoch: [88][2720/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 1.5771 (1.6105)	Prec@1 56.000 (56.597)	Prec@5 86.000 (84.813)
Epoch: [88][2730/9018]	Time 0.606 (0.610)	Data 0.001 (0.002)	Loss 1.7429 (1.6106)	Prec@1 56.500 (56.597)	Prec@5 81.500 (84.812)
Epoch: [88][2740/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 1.6316 (1.6109)	Prec@1 57.000 (56.590)	Prec@5 85.000 (84.807)
Epoch: [88][2750/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 1.4750 (1.6108)	Prec@1 60.000 (56.584)	Prec@5 86.000 (84.808)
Epoch: [88][2760/9018]	Time 0.724 (0.610)	Data 0.001 (0.002)	Loss 1.5953 (1.6109)	Prec@1 60.000 (56.583)	Prec@5 87.000 (84.806)
Epoch: [88][2770/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 1.5779 (1.6109)	Prec@1 54.500 (56.587)	Prec@5 87.500 (84.807)
Epoch: [88][2780/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 1.6415 (1.6109)	Prec@1 58.500 (56.587)	Prec@5 82.500 (84.808)
Epoch: [88][2790/9018]	Time 0.594 (0.610)	Data 0.001 (0.002)	Loss 1.5069 (1.6108)	Prec@1 59.000 (56.588)	Prec@5 88.000 (84.811)
Epoch: [88][2800/9018]	Time 0.603 (0.610)	Data 0.001 (0.002)	Loss 1.4176 (1.6107)	Prec@1 59.500 (56.591)	Prec@5 88.000 (84.813)
Epoch: [88][2810/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.5543 (1.6107)	Prec@1 55.500 (56.591)	Prec@5 89.000 (84.812)
Epoch: [88][2820/9018]	Time 0.589 (0.610)	Data 0.001 (0.002)	Loss 1.6177 (1.6107)	Prec@1 54.500 (56.592)	Prec@5 83.500 (84.812)
Epoch: [88][2830/9018]	Time 0.600 (0.610)	Data 0.001 (0.002)	Loss 1.5222 (1.6105)	Prec@1 54.500 (56.595)	Prec@5 86.500 (84.815)
Epoch: [88][2840/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 1.5791 (1.6106)	Prec@1 59.500 (56.593)	Prec@5 85.000 (84.813)
Epoch: [88][2850/9018]	Time 0.593 (0.610)	Data 0.001 (0.002)	Loss 1.7480 (1.6107)	Prec@1 57.500 (56.593)	Prec@5 84.500 (84.812)
Epoch: [88][2860/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 1.6977 (1.6107)	Prec@1 55.500 (56.590)	Prec@5 84.000 (84.813)
Epoch: [88][2870/9018]	Time 0.601 (0.610)	Data 0.001 (0.002)	Loss 1.5028 (1.6108)	Prec@1 61.000 (56.589)	Prec@5 86.000 (84.812)
Epoch: [88][2880/9018]	Time 0.612 (0.610)	Data 0.001 (0.002)	Loss 1.7476 (1.6108)	Prec@1 52.000 (56.587)	Prec@5 83.500 (84.812)
Epoch: [88][2890/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 1.6776 (1.6109)	Prec@1 58.500 (56.586)	Prec@5 82.000 (84.812)
Epoch: [88][2900/9018]	Time 0.608 (0.610)	Data 0.001 (0.002)	Loss 1.4898 (1.6108)	Prec@1 61.500 (56.590)	Prec@5 85.500 (84.811)
Epoch: [88][2910/9018]	Time 0.599 (0.610)	Data 0.001 (0.002)	Loss 1.6230 (1.6107)	Prec@1 54.500 (56.596)	Prec@5 84.000 (84.814)
Epoch: [88][2920/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 1.6772 (1.6108)	Prec@1 56.500 (56.594)	Prec@5 85.000 (84.815)
Epoch: [88][2930/9018]	Time 0.596 (0.610)	Data 0.001 (0.002)	Loss 1.6636 (1.6108)	Prec@1 57.500 (56.592)	Prec@5 83.500 (84.814)
Epoch: [88][2940/9018]	Time 0.595 (0.610)	Data 0.001 (0.002)	Loss 1.4599 (1.6109)	Prec@1 61.000 (56.589)	Prec@5 85.500 (84.812)
Epoch: [88][2950/9018]	Time 0.596 (0.610)	Data 0.001 (0.002)	Loss 1.3759 (1.6110)	Prec@1 64.500 (56.589)	Prec@5 86.000 (84.811)
Epoch: [88][2960/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 1.5816 (1.6110)	Prec@1 58.500 (56.588)	Prec@5 87.500 (84.814)
Epoch: [88][2970/9018]	Time 0.606 (0.610)	Data 0.001 (0.002)	Loss 1.4698 (1.6112)	Prec@1 59.000 (56.582)	Prec@5 84.500 (84.814)
Epoch: [88][2980/9018]	Time 0.605 (0.610)	Data 0.001 (0.002)	Loss 1.4417 (1.6110)	Prec@1 63.000 (56.589)	Prec@5 86.500 (84.817)
Epoch: [88][2990/9018]	Time 0.597 (0.610)	Data 0.001 (0.002)	Loss 1.4507 (1.6111)	Prec@1 58.500 (56.586)	Prec@5 87.000 (84.817)
Epoch: [88][3000/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.6396 (1.6110)	Prec@1 53.500 (56.583)	Prec@5 82.500 (84.817)
Epoch: [88][3010/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.5163 (1.6111)	Prec@1 52.500 (56.581)	Prec@5 87.500 (84.818)
Epoch: [88][3020/9018]	Time 0.598 (0.610)	Data 0.001 (0.002)	Loss 1.3786 (1.6111)	Prec@1 61.500 (56.582)	Prec@5 88.000 (84.816)
Epoch: [88][3030/9018]	Time 0.602 (0.610)	Data 0.001 (0.002)	Loss 1.4171 (1.6110)	Prec@1 62.000 (56.581)	Prec@5 87.500 (84.821)
Epoch: [88][3040/9018]	Time 0.724 (0.610)	Data 0.001 (0.001)	Loss 1.7437 (1.6112)	Prec@1 56.500 (56.574)	Prec@5 80.500 (84.820)
Epoch: [88][3050/9018]	Time 0.616 (0.610)	Data 0.001 (0.001)	Loss 1.8535 (1.6113)	Prec@1 53.500 (56.571)	Prec@5 76.500 (84.818)
Epoch: [88][3060/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 1.6441 (1.6116)	Prec@1 58.000 (56.569)	Prec@5 85.000 (84.816)
Epoch: [88][3070/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.6105 (1.6115)	Prec@1 54.000 (56.569)	Prec@5 85.500 (84.816)
Epoch: [88][3080/9018]	Time 0.609 (0.610)	Data 0.001 (0.001)	Loss 1.5410 (1.6116)	Prec@1 56.500 (56.566)	Prec@5 84.000 (84.813)
Epoch: [88][3090/9018]	Time 0.702 (0.610)	Data 0.001 (0.001)	Loss 1.6007 (1.6118)	Prec@1 58.000 (56.562)	Prec@5 84.000 (84.808)
Epoch: [88][3100/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.6298 (1.6122)	Prec@1 50.500 (56.553)	Prec@5 82.000 (84.803)
Epoch: [88][3110/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.5912 (1.6124)	Prec@1 53.000 (56.546)	Prec@5 85.000 (84.799)
Epoch: [88][3120/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.6807 (1.6125)	Prec@1 58.000 (56.544)	Prec@5 80.500 (84.796)
Epoch: [88][3130/9018]	Time 0.614 (0.610)	Data 0.001 (0.001)	Loss 1.6669 (1.6126)	Prec@1 54.500 (56.542)	Prec@5 82.000 (84.797)
Epoch: [88][3140/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.6396 (1.6125)	Prec@1 54.500 (56.544)	Prec@5 85.500 (84.798)
Epoch: [88][3150/9018]	Time 0.590 (0.610)	Data 0.001 (0.001)	Loss 1.5071 (1.6124)	Prec@1 62.500 (56.552)	Prec@5 85.500 (84.798)
Epoch: [88][3160/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.6736 (1.6125)	Prec@1 56.000 (56.553)	Prec@5 81.500 (84.796)
Epoch: [88][3170/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.5282 (1.6127)	Prec@1 56.000 (56.542)	Prec@5 85.500 (84.791)
Epoch: [88][3180/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.5122 (1.6126)	Prec@1 61.000 (56.550)	Prec@5 86.000 (84.792)
Epoch: [88][3190/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.7864 (1.6128)	Prec@1 54.500 (56.550)	Prec@5 81.000 (84.785)
Epoch: [88][3200/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.6325 (1.6129)	Prec@1 55.500 (56.545)	Prec@5 85.500 (84.788)
Epoch: [88][3210/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.3928 (1.6129)	Prec@1 60.000 (56.543)	Prec@5 88.500 (84.787)
Epoch: [88][3220/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.6293 (1.6128)	Prec@1 59.000 (56.549)	Prec@5 84.500 (84.790)
Epoch: [88][3230/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 1.5737 (1.6128)	Prec@1 57.500 (56.551)	Prec@5 84.500 (84.789)
Epoch: [88][3240/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.6547 (1.6129)	Prec@1 56.500 (56.548)	Prec@5 84.500 (84.787)
Epoch: [88][3250/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.7114 (1.6128)	Prec@1 59.000 (56.549)	Prec@5 80.500 (84.789)
Epoch: [88][3260/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.6849 (1.6130)	Prec@1 55.500 (56.542)	Prec@5 83.000 (84.786)
Epoch: [88][3270/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.6651 (1.6130)	Prec@1 49.000 (56.535)	Prec@5 86.500 (84.789)
Epoch: [88][3280/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.6740 (1.6131)	Prec@1 53.500 (56.534)	Prec@5 85.000 (84.789)
Epoch: [88][3290/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.6048 (1.6132)	Prec@1 54.000 (56.531)	Prec@5 88.000 (84.790)
Epoch: [88][3300/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.4969 (1.6134)	Prec@1 56.500 (56.525)	Prec@5 86.500 (84.789)
Epoch: [88][3310/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 1.5066 (1.6134)	Prec@1 62.500 (56.529)	Prec@5 85.500 (84.786)
Epoch: [88][3320/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.6507 (1.6133)	Prec@1 54.500 (56.533)	Prec@5 82.500 (84.789)
Epoch: [88][3330/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.5401 (1.6133)	Prec@1 58.500 (56.531)	Prec@5 87.000 (84.789)
Epoch: [88][3340/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.6915 (1.6133)	Prec@1 53.500 (56.532)	Prec@5 85.000 (84.790)
Epoch: [88][3350/9018]	Time 0.629 (0.610)	Data 0.001 (0.001)	Loss 1.4661 (1.6133)	Prec@1 60.000 (56.534)	Prec@5 88.500 (84.787)
Epoch: [88][3360/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.6049 (1.6133)	Prec@1 57.000 (56.535)	Prec@5 86.000 (84.786)
Epoch: [88][3370/9018]	Time 0.716 (0.610)	Data 0.001 (0.001)	Loss 1.6851 (1.6133)	Prec@1 54.500 (56.538)	Prec@5 83.500 (84.786)
Epoch: [88][3380/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.7232 (1.6134)	Prec@1 55.500 (56.538)	Prec@5 81.000 (84.786)
Epoch: [88][3390/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.4830 (1.6134)	Prec@1 61.000 (56.537)	Prec@5 85.500 (84.790)
Epoch: [88][3400/9018]	Time 0.621 (0.610)	Data 0.001 (0.001)	Loss 1.5987 (1.6134)	Prec@1 54.500 (56.537)	Prec@5 86.000 (84.790)
Epoch: [88][3410/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.5155 (1.6135)	Prec@1 56.500 (56.534)	Prec@5 87.000 (84.789)
Epoch: [88][3420/9018]	Time 0.711 (0.610)	Data 0.001 (0.001)	Loss 1.5630 (1.6134)	Prec@1 60.000 (56.540)	Prec@5 85.500 (84.787)
Epoch: [88][3430/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.6116 (1.6134)	Prec@1 58.000 (56.538)	Prec@5 84.500 (84.787)
Epoch: [88][3440/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.9429 (1.6134)	Prec@1 48.500 (56.533)	Prec@5 82.000 (84.788)
Epoch: [88][3450/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 1.5829 (1.6134)	Prec@1 56.500 (56.531)	Prec@5 87.000 (84.788)
Epoch: [88][3460/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.6711 (1.6134)	Prec@1 54.000 (56.529)	Prec@5 83.500 (84.791)
Epoch: [88][3470/9018]	Time 0.619 (0.610)	Data 0.001 (0.001)	Loss 1.5119 (1.6134)	Prec@1 56.500 (56.530)	Prec@5 88.500 (84.790)
Epoch: [88][3480/9018]	Time 0.620 (0.610)	Data 0.001 (0.001)	Loss 1.8516 (1.6137)	Prec@1 51.500 (56.521)	Prec@5 83.500 (84.788)
Epoch: [88][3490/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.5580 (1.6137)	Prec@1 58.500 (56.522)	Prec@5 84.000 (84.788)
Epoch: [88][3500/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.8154 (1.6137)	Prec@1 53.500 (56.525)	Prec@5 81.500 (84.787)
Epoch: [88][3510/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.7333 (1.6138)	Prec@1 51.500 (56.521)	Prec@5 84.500 (84.787)
Epoch: [88][3520/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.5216 (1.6138)	Prec@1 58.500 (56.521)	Prec@5 87.000 (84.788)
Epoch: [88][3530/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.6148 (1.6139)	Prec@1 57.500 (56.519)	Prec@5 85.000 (84.787)
Epoch: [88][3540/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.7002 (1.6139)	Prec@1 52.500 (56.517)	Prec@5 84.000 (84.786)
Epoch: [88][3550/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 1.6942 (1.6138)	Prec@1 54.000 (56.519)	Prec@5 83.000 (84.790)
Epoch: [88][3560/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.5647 (1.6137)	Prec@1 56.500 (56.523)	Prec@5 86.000 (84.790)
Epoch: [88][3570/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.9212 (1.6137)	Prec@1 48.000 (56.520)	Prec@5 77.000 (84.790)
Epoch: [88][3580/9018]	Time 0.625 (0.610)	Data 0.001 (0.001)	Loss 1.8136 (1.6138)	Prec@1 51.500 (56.517)	Prec@5 81.000 (84.791)
Epoch: [88][3590/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.6299 (1.6139)	Prec@1 57.000 (56.513)	Prec@5 84.500 (84.792)
Epoch: [88][3600/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.6222 (1.6140)	Prec@1 57.000 (56.509)	Prec@5 81.500 (84.790)
Epoch: [88][3610/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.7912 (1.6139)	Prec@1 54.500 (56.512)	Prec@5 83.000 (84.792)
Epoch: [88][3620/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.5081 (1.6139)	Prec@1 59.000 (56.513)	Prec@5 85.500 (84.789)
Epoch: [88][3630/9018]	Time 0.627 (0.610)	Data 0.001 (0.001)	Loss 1.4279 (1.6137)	Prec@1 59.000 (56.516)	Prec@5 87.500 (84.792)
Epoch: [88][3640/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.4246 (1.6137)	Prec@1 60.000 (56.515)	Prec@5 88.000 (84.792)
Epoch: [88][3650/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.4545 (1.6135)	Prec@1 58.000 (56.521)	Prec@5 88.000 (84.794)
Epoch: [88][3660/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.7515 (1.6137)	Prec@1 54.500 (56.520)	Prec@5 81.500 (84.792)
Epoch: [88][3670/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.7252 (1.6137)	Prec@1 55.500 (56.519)	Prec@5 82.000 (84.790)
Epoch: [88][3680/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 1.3726 (1.6137)	Prec@1 59.000 (56.515)	Prec@5 88.000 (84.791)
Epoch: [88][3690/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.8409 (1.6138)	Prec@1 52.000 (56.514)	Prec@5 80.500 (84.788)
Epoch: [88][3700/9018]	Time 0.719 (0.610)	Data 0.001 (0.001)	Loss 1.7101 (1.6139)	Prec@1 59.000 (56.514)	Prec@5 82.500 (84.784)
Epoch: [88][3710/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 1.8633 (1.6141)	Prec@1 48.000 (56.510)	Prec@5 82.000 (84.780)
Epoch: [88][3720/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.5905 (1.6140)	Prec@1 55.500 (56.511)	Prec@5 88.000 (84.782)
Epoch: [88][3730/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.6738 (1.6142)	Prec@1 55.000 (56.505)	Prec@5 81.500 (84.777)
Epoch: [88][3740/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.6979 (1.6143)	Prec@1 53.000 (56.505)	Prec@5 85.000 (84.776)
Epoch: [88][3750/9018]	Time 0.704 (0.610)	Data 0.001 (0.001)	Loss 1.6691 (1.6143)	Prec@1 54.500 (56.506)	Prec@5 83.000 (84.776)
Epoch: [88][3760/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.4428 (1.6141)	Prec@1 61.500 (56.509)	Prec@5 87.500 (84.779)
Epoch: [88][3770/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 1.6209 (1.6141)	Prec@1 58.000 (56.508)	Prec@5 86.500 (84.777)
Epoch: [88][3780/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.8340 (1.6141)	Prec@1 55.000 (56.510)	Prec@5 83.000 (84.777)
Epoch: [88][3790/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.7470 (1.6140)	Prec@1 54.500 (56.512)	Prec@5 83.000 (84.778)
Epoch: [88][3800/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.7634 (1.6141)	Prec@1 53.500 (56.510)	Prec@5 82.500 (84.777)
Epoch: [88][3810/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.5373 (1.6140)	Prec@1 59.500 (56.512)	Prec@5 86.000 (84.778)
Epoch: [88][3820/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.5618 (1.6140)	Prec@1 56.500 (56.514)	Prec@5 85.000 (84.778)
Epoch: [88][3830/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.6343 (1.6140)	Prec@1 55.500 (56.517)	Prec@5 83.000 (84.777)
Epoch: [88][3840/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.5762 (1.6140)	Prec@1 57.000 (56.514)	Prec@5 83.500 (84.776)
Epoch: [88][3850/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.6368 (1.6140)	Prec@1 58.500 (56.514)	Prec@5 84.500 (84.778)
Epoch: [88][3860/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.5022 (1.6139)	Prec@1 61.000 (56.518)	Prec@5 87.000 (84.780)
Epoch: [88][3870/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.5565 (1.6139)	Prec@1 57.000 (56.515)	Prec@5 85.000 (84.779)
Epoch: [88][3880/9018]	Time 0.612 (0.610)	Data 0.001 (0.001)	Loss 1.6211 (1.6140)	Prec@1 53.000 (56.512)	Prec@5 88.000 (84.778)
Epoch: [88][3890/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.7645 (1.6141)	Prec@1 55.000 (56.512)	Prec@5 83.500 (84.779)
Epoch: [88][3900/9018]	Time 0.590 (0.610)	Data 0.001 (0.001)	Loss 1.5967 (1.6142)	Prec@1 55.500 (56.511)	Prec@5 88.500 (84.778)
Epoch: [88][3910/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.6649 (1.6142)	Prec@1 53.000 (56.509)	Prec@5 85.500 (84.779)
Epoch: [88][3920/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.5970 (1.6143)	Prec@1 57.000 (56.509)	Prec@5 85.000 (84.777)
Epoch: [88][3930/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.5096 (1.6144)	Prec@1 60.500 (56.511)	Prec@5 87.000 (84.776)
Epoch: [88][3940/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.5145 (1.6142)	Prec@1 59.000 (56.514)	Prec@5 87.500 (84.781)
Epoch: [88][3950/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.5518 (1.6141)	Prec@1 60.500 (56.517)	Prec@5 83.500 (84.778)
Epoch: [88][3960/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.7555 (1.6141)	Prec@1 54.500 (56.517)	Prec@5 83.500 (84.780)
Epoch: [88][3970/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.7741 (1.6141)	Prec@1 54.500 (56.515)	Prec@5 82.000 (84.779)
Epoch: [88][3980/9018]	Time 0.590 (0.610)	Data 0.001 (0.001)	Loss 1.7121 (1.6142)	Prec@1 55.000 (56.511)	Prec@5 82.000 (84.779)
Epoch: [88][3990/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.5465 (1.6141)	Prec@1 56.500 (56.514)	Prec@5 84.500 (84.781)
Epoch: [88][4000/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.5935 (1.6139)	Prec@1 57.000 (56.517)	Prec@5 85.500 (84.784)
Epoch: [88][4010/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.7440 (1.6141)	Prec@1 57.000 (56.515)	Prec@5 81.500 (84.780)
Epoch: [88][4020/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.5034 (1.6141)	Prec@1 61.500 (56.516)	Prec@5 85.500 (84.780)
Epoch: [88][4030/9018]	Time 0.724 (0.610)	Data 0.001 (0.001)	Loss 1.8394 (1.6141)	Prec@1 53.000 (56.517)	Prec@5 78.000 (84.778)
Epoch: [88][4040/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.5502 (1.6140)	Prec@1 56.500 (56.519)	Prec@5 87.000 (84.781)
Epoch: [88][4050/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.7206 (1.6139)	Prec@1 52.000 (56.518)	Prec@5 82.500 (84.784)
Epoch: [88][4060/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.7560 (1.6138)	Prec@1 54.500 (56.519)	Prec@5 83.000 (84.787)
Epoch: [88][4070/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.4774 (1.6139)	Prec@1 60.000 (56.519)	Prec@5 86.000 (84.787)
Epoch: [88][4080/9018]	Time 0.705 (0.610)	Data 0.001 (0.001)	Loss 1.5294 (1.6141)	Prec@1 55.500 (56.516)	Prec@5 86.000 (84.781)
Epoch: [88][4090/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.8056 (1.6141)	Prec@1 51.000 (56.516)	Prec@5 81.500 (84.782)
Epoch: [88][4100/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.8611 (1.6143)	Prec@1 49.500 (56.514)	Prec@5 82.000 (84.780)
Epoch: [88][4110/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.7702 (1.6142)	Prec@1 51.500 (56.514)	Prec@5 82.500 (84.783)
Epoch: [88][4120/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.4685 (1.6143)	Prec@1 59.500 (56.512)	Prec@5 87.500 (84.783)
Epoch: [88][4130/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.4645 (1.6142)	Prec@1 59.500 (56.513)	Prec@5 89.000 (84.785)
Epoch: [88][4140/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.5439 (1.6142)	Prec@1 58.000 (56.515)	Prec@5 86.000 (84.787)
Epoch: [88][4150/9018]	Time 0.590 (0.610)	Data 0.001 (0.001)	Loss 1.6920 (1.6142)	Prec@1 55.500 (56.516)	Prec@5 79.500 (84.785)
Epoch: [88][4160/9018]	Time 0.622 (0.610)	Data 0.001 (0.001)	Loss 1.5857 (1.6142)	Prec@1 60.000 (56.515)	Prec@5 83.000 (84.784)
Epoch: [88][4170/9018]	Time 0.623 (0.610)	Data 0.001 (0.001)	Loss 1.4747 (1.6142)	Prec@1 59.500 (56.513)	Prec@5 89.500 (84.786)
Epoch: [88][4180/9018]	Time 0.605 (0.610)	Data 0.001 (0.001)	Loss 1.6089 (1.6142)	Prec@1 60.000 (56.514)	Prec@5 85.500 (84.787)
Epoch: [88][4190/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.4450 (1.6143)	Prec@1 59.500 (56.511)	Prec@5 84.000 (84.785)
Epoch: [88][4200/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.3158 (1.6142)	Prec@1 66.500 (56.514)	Prec@5 90.000 (84.788)
Epoch: [88][4210/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.6144 (1.6142)	Prec@1 56.000 (56.513)	Prec@5 84.500 (84.788)
Epoch: [88][4220/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.5668 (1.6142)	Prec@1 60.500 (56.514)	Prec@5 84.000 (84.786)
Epoch: [88][4230/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.7853 (1.6143)	Prec@1 53.500 (56.516)	Prec@5 82.000 (84.787)
Epoch: [88][4240/9018]	Time 0.606 (0.610)	Data 0.001 (0.001)	Loss 1.6035 (1.6143)	Prec@1 57.000 (56.515)	Prec@5 84.500 (84.785)
Epoch: [88][4250/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.6193 (1.6145)	Prec@1 61.500 (56.512)	Prec@5 84.000 (84.784)
Epoch: [88][4260/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.7309 (1.6146)	Prec@1 56.500 (56.509)	Prec@5 84.000 (84.780)
Epoch: [88][4270/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.4726 (1.6147)	Prec@1 57.500 (56.507)	Prec@5 89.000 (84.779)
Epoch: [88][4280/9018]	Time 0.620 (0.610)	Data 0.001 (0.001)	Loss 1.3957 (1.6147)	Prec@1 62.500 (56.509)	Prec@5 88.500 (84.779)
Epoch: [88][4290/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.6320 (1.6147)	Prec@1 57.500 (56.509)	Prec@5 84.000 (84.780)
Epoch: [88][4300/9018]	Time 0.614 (0.610)	Data 0.001 (0.001)	Loss 1.5664 (1.6149)	Prec@1 58.000 (56.507)	Prec@5 85.000 (84.777)
Epoch: [88][4310/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.7577 (1.6150)	Prec@1 52.500 (56.505)	Prec@5 80.500 (84.776)
Epoch: [88][4320/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.5005 (1.6150)	Prec@1 61.500 (56.505)	Prec@5 87.500 (84.775)
Epoch: [88][4330/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.7738 (1.6152)	Prec@1 50.500 (56.501)	Prec@5 84.000 (84.771)
Epoch: [88][4340/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.5474 (1.6152)	Prec@1 60.000 (56.502)	Prec@5 84.000 (84.770)
Epoch: [88][4350/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.7759 (1.6152)	Prec@1 54.500 (56.503)	Prec@5 82.500 (84.771)
Epoch: [88][4360/9018]	Time 0.703 (0.610)	Data 0.001 (0.001)	Loss 1.7844 (1.6152)	Prec@1 53.500 (56.504)	Prec@5 79.500 (84.768)
Epoch: [88][4370/9018]	Time 0.611 (0.610)	Data 0.001 (0.001)	Loss 1.4942 (1.6153)	Prec@1 62.500 (56.505)	Prec@5 88.000 (84.767)
Epoch: [88][4380/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 1.5518 (1.6152)	Prec@1 58.500 (56.509)	Prec@5 84.500 (84.766)
Epoch: [88][4390/9018]	Time 0.599 (0.610)	Data 0.001 (0.001)	Loss 1.7883 (1.6152)	Prec@1 53.000 (56.510)	Prec@5 81.500 (84.765)
Epoch: [88][4400/9018]	Time 0.590 (0.610)	Data 0.001 (0.001)	Loss 1.6390 (1.6153)	Prec@1 57.500 (56.512)	Prec@5 82.500 (84.763)
Epoch: [88][4410/9018]	Time 0.711 (0.610)	Data 0.001 (0.001)	Loss 1.6431 (1.6154)	Prec@1 55.000 (56.511)	Prec@5 87.000 (84.762)
Epoch: [88][4420/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 1.6352 (1.6156)	Prec@1 57.500 (56.508)	Prec@5 81.000 (84.759)
Epoch: [88][4430/9018]	Time 0.604 (0.610)	Data 0.001 (0.001)	Loss 1.5278 (1.6155)	Prec@1 56.000 (56.507)	Prec@5 91.000 (84.761)
Epoch: [88][4440/9018]	Time 0.592 (0.610)	Data 0.001 (0.001)	Loss 1.7466 (1.6158)	Prec@1 55.500 (56.504)	Prec@5 86.000 (84.757)
Epoch: [88][4450/9018]	Time 0.593 (0.610)	Data 0.001 (0.001)	Loss 1.7388 (1.6158)	Prec@1 53.500 (56.504)	Prec@5 83.500 (84.756)
Epoch: [88][4460/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.5754 (1.6156)	Prec@1 54.500 (56.508)	Prec@5 86.500 (84.758)
Epoch: [88][4470/9018]	Time 0.591 (0.610)	Data 0.001 (0.001)	Loss 1.6699 (1.6157)	Prec@1 56.500 (56.508)	Prec@5 85.500 (84.758)
Epoch: [88][4480/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.5138 (1.6157)	Prec@1 59.000 (56.506)	Prec@5 87.000 (84.758)
Epoch: [88][4490/9018]	Time 0.596 (0.610)	Data 0.001 (0.001)	Loss 1.4579 (1.6156)	Prec@1 60.000 (56.508)	Prec@5 87.500 (84.760)
Epoch: [88][4500/9018]	Time 0.594 (0.610)	Data 0.001 (0.001)	Loss 1.5929 (1.6157)	Prec@1 59.000 (56.506)	Prec@5 86.000 (84.758)
Epoch: [88][4510/9018]	Time 0.601 (0.610)	Data 0.001 (0.001)	Loss 1.7693 (1.6157)	Prec@1 49.500 (56.506)	Prec@5 81.500 (84.757)
Epoch: [88][4520/9018]	Time 0.610 (0.610)	Data 0.001 (0.001)	Loss 1.5963 (1.6159)	Prec@1 54.500 (56.502)	Prec@5 88.500 (84.756)
Epoch: [88][4530/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.4900 (1.6159)	Prec@1 58.000 (56.502)	Prec@5 88.500 (84.755)
Epoch: [88][4540/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.4274 (1.6160)	Prec@1 56.000 (56.501)	Prec@5 89.500 (84.755)
Epoch: [88][4550/9018]	Time 0.600 (0.610)	Data 0.001 (0.001)	Loss 1.7281 (1.6162)	Prec@1 50.500 (56.493)	Prec@5 81.000 (84.751)
Epoch: [88][4560/9018]	Time 0.595 (0.610)	Data 0.001 (0.001)	Loss 1.4894 (1.6161)	Prec@1 60.000 (56.493)	Prec@5 85.500 (84.751)
Epoch: [88][4570/9018]	Time 0.602 (0.610)	Data 0.001 (0.001)	Loss 1.6351 (1.6161)	Prec@1 53.500 (56.493)	Prec@5 84.500 (84.750)
Epoch: [88][4580/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.7239 (1.6160)	Prec@1 52.000 (56.494)	Prec@5 81.000 (84.752)
Epoch: [88][4590/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.5977 (1.6160)	Prec@1 54.000 (56.495)	Prec@5 83.500 (84.750)
Epoch: [88][4600/9018]	Time 0.607 (0.610)	Data 0.004 (0.001)	Loss 1.1611 (1.6160)	Prec@1 66.500 (56.493)	Prec@5 93.000 (84.752)
Epoch: [88][4610/9018]	Time 0.597 (0.610)	Data 0.001 (0.001)	Loss 1.4571 (1.6160)	Prec@1 59.500 (56.491)	Prec@5 86.500 (84.752)
Epoch: [88][4620/9018]	Time 0.615 (0.610)	Data 0.001 (0.001)	Loss 1.6030 (1.6161)	Prec@1 56.500 (56.486)	Prec@5 84.500 (84.748)
Epoch: [88][4630/9018]	Time 0.603 (0.610)	Data 0.001 (0.001)	Loss 1.5851 (1.6161)	Prec@1 59.500 (56.485)	Prec@5 84.000 (84.747)
Epoch: [88][4640/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.5157 (1.6161)	Prec@1 60.500 (56.486)	Prec@5 86.500 (84.749)
Epoch: [88][4650/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.4831 (1.6161)	Prec@1 57.500 (56.485)	Prec@5 86.500 (84.747)
Epoch: [88][4660/9018]	Time 0.598 (0.610)	Data 0.001 (0.001)	Loss 1.5115 (1.6163)	Prec@1 61.500 (56.481)	Prec@5 87.000 (84.745)
Epoch: [88][4670/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.6162 (1.6163)	Prec@1 60.500 (56.480)	Prec@5 85.000 (84.745)
Epoch: [88][4680/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.4959 (1.6162)	Prec@1 56.500 (56.483)	Prec@5 88.500 (84.746)
Epoch: [88][4690/9018]	Time 0.715 (0.609)	Data 0.001 (0.001)	Loss 1.5672 (1.6163)	Prec@1 61.500 (56.482)	Prec@5 86.000 (84.744)
Epoch: [88][4700/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.7668 (1.6165)	Prec@1 51.500 (56.480)	Prec@5 81.000 (84.740)
Epoch: [88][4710/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.5680 (1.6166)	Prec@1 57.000 (56.477)	Prec@5 84.000 (84.737)
Epoch: [88][4720/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.6411 (1.6167)	Prec@1 53.000 (56.475)	Prec@5 85.500 (84.737)
Epoch: [88][4730/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.3155 (1.6168)	Prec@1 66.000 (56.473)	Prec@5 91.000 (84.735)
Epoch: [88][4740/9018]	Time 0.709 (0.609)	Data 0.001 (0.001)	Loss 1.5308 (1.6168)	Prec@1 61.000 (56.474)	Prec@5 86.500 (84.734)
Epoch: [88][4750/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.5982 (1.6169)	Prec@1 60.500 (56.475)	Prec@5 88.000 (84.734)
Epoch: [88][4760/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 1.6641 (1.6168)	Prec@1 57.500 (56.472)	Prec@5 83.500 (84.734)
Epoch: [88][4770/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.6611 (1.6168)	Prec@1 55.000 (56.473)	Prec@5 83.500 (84.732)
Epoch: [88][4780/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.7712 (1.6169)	Prec@1 52.000 (56.469)	Prec@5 84.000 (84.732)
Epoch: [88][4790/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.5562 (1.6169)	Prec@1 57.000 (56.470)	Prec@5 86.500 (84.733)
Epoch: [88][4800/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.5421 (1.6168)	Prec@1 58.500 (56.469)	Prec@5 86.500 (84.736)
Epoch: [88][4810/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.8288 (1.6170)	Prec@1 50.000 (56.464)	Prec@5 82.500 (84.732)
Epoch: [88][4820/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.5390 (1.6171)	Prec@1 56.500 (56.462)	Prec@5 88.000 (84.730)
Epoch: [88][4830/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.5755 (1.6170)	Prec@1 58.000 (56.465)	Prec@5 86.000 (84.732)
Epoch: [88][4840/9018]	Time 0.632 (0.609)	Data 0.001 (0.001)	Loss 1.8579 (1.6171)	Prec@1 50.000 (56.464)	Prec@5 80.000 (84.730)
Epoch: [88][4850/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.6629 (1.6171)	Prec@1 53.000 (56.461)	Prec@5 85.500 (84.731)
Epoch: [88][4860/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.8111 (1.6172)	Prec@1 53.000 (56.464)	Prec@5 79.500 (84.727)
Epoch: [88][4870/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.7411 (1.6173)	Prec@1 53.500 (56.460)	Prec@5 83.000 (84.725)
Epoch: [88][4880/9018]	Time 0.631 (0.609)	Data 0.001 (0.001)	Loss 1.6471 (1.6173)	Prec@1 58.500 (56.462)	Prec@5 86.500 (84.726)
Epoch: [88][4890/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.6467 (1.6173)	Prec@1 57.000 (56.463)	Prec@5 85.000 (84.726)
Epoch: [88][4900/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.7795 (1.6173)	Prec@1 56.500 (56.464)	Prec@5 82.500 (84.727)
Epoch: [88][4910/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.7890 (1.6174)	Prec@1 53.000 (56.461)	Prec@5 81.000 (84.724)
Epoch: [88][4920/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 1.6283 (1.6176)	Prec@1 57.500 (56.458)	Prec@5 83.000 (84.722)
Epoch: [88][4930/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.6039 (1.6176)	Prec@1 54.000 (56.460)	Prec@5 84.000 (84.720)
Epoch: [88][4940/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.4559 (1.6175)	Prec@1 60.500 (56.461)	Prec@5 89.000 (84.721)
Epoch: [88][4950/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.5036 (1.6177)	Prec@1 62.500 (56.460)	Prec@5 87.000 (84.720)
Epoch: [88][4960/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.5697 (1.6177)	Prec@1 54.500 (56.459)	Prec@5 86.500 (84.719)
Epoch: [88][4970/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.5902 (1.6177)	Prec@1 57.500 (56.459)	Prec@5 86.000 (84.720)
Epoch: [88][4980/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.6722 (1.6177)	Prec@1 53.500 (56.458)	Prec@5 87.000 (84.719)
Epoch: [88][4990/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 1.5087 (1.6177)	Prec@1 57.000 (56.458)	Prec@5 86.000 (84.719)
Epoch: [88][5000/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.6486 (1.6178)	Prec@1 57.500 (56.459)	Prec@5 84.500 (84.718)
Epoch: [88][5010/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.8236 (1.6178)	Prec@1 49.000 (56.458)	Prec@5 86.000 (84.718)
Epoch: [88][5020/9018]	Time 0.723 (0.609)	Data 0.001 (0.001)	Loss 1.5911 (1.6179)	Prec@1 58.000 (56.456)	Prec@5 85.000 (84.716)
Epoch: [88][5030/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.5951 (1.6179)	Prec@1 57.500 (56.455)	Prec@5 86.000 (84.716)
Epoch: [88][5040/9018]	Time 0.614 (0.609)	Data 0.001 (0.001)	Loss 1.6014 (1.6178)	Prec@1 54.500 (56.457)	Prec@5 84.500 (84.718)
Epoch: [88][5050/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.6275 (1.6178)	Prec@1 56.500 (56.458)	Prec@5 85.500 (84.718)
Epoch: [88][5060/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 1.6464 (1.6178)	Prec@1 56.000 (56.454)	Prec@5 82.000 (84.718)
Epoch: [88][5070/9018]	Time 0.729 (0.609)	Data 0.001 (0.001)	Loss 1.7019 (1.6177)	Prec@1 57.500 (56.458)	Prec@5 81.500 (84.718)
Epoch: [88][5080/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.5070 (1.6177)	Prec@1 59.000 (56.457)	Prec@5 86.000 (84.719)
Epoch: [88][5090/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.4329 (1.6177)	Prec@1 59.500 (56.456)	Prec@5 87.500 (84.718)
Epoch: [88][5100/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.5622 (1.6177)	Prec@1 61.000 (56.456)	Prec@5 82.500 (84.717)
Epoch: [88][5110/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.6387 (1.6179)	Prec@1 56.500 (56.451)	Prec@5 84.000 (84.717)
Epoch: [88][5120/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6547 (1.6178)	Prec@1 56.500 (56.455)	Prec@5 84.500 (84.717)
Epoch: [88][5130/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.5608 (1.6177)	Prec@1 56.000 (56.458)	Prec@5 88.000 (84.718)
Epoch: [88][5140/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.6175 (1.6177)	Prec@1 52.000 (56.457)	Prec@5 85.500 (84.718)
Epoch: [88][5150/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.8168 (1.6178)	Prec@1 57.000 (56.454)	Prec@5 83.000 (84.716)
Epoch: [88][5160/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.6754 (1.6178)	Prec@1 55.000 (56.458)	Prec@5 80.500 (84.715)
Epoch: [88][5170/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.7391 (1.6178)	Prec@1 55.500 (56.456)	Prec@5 80.500 (84.713)
Epoch: [88][5180/9018]	Time 0.630 (0.609)	Data 0.001 (0.001)	Loss 1.7898 (1.6179)	Prec@1 47.000 (56.452)	Prec@5 83.500 (84.713)
Epoch: [88][5190/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 1.3936 (1.6178)	Prec@1 59.000 (56.451)	Prec@5 87.000 (84.713)
Epoch: [88][5200/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 1.5885 (1.6179)	Prec@1 57.000 (56.448)	Prec@5 86.500 (84.710)
Epoch: [88][5210/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 1.7246 (1.6179)	Prec@1 54.500 (56.449)	Prec@5 80.000 (84.710)
Epoch: [88][5220/9018]	Time 0.618 (0.609)	Data 0.001 (0.001)	Loss 1.5253 (1.6180)	Prec@1 56.000 (56.446)	Prec@5 85.500 (84.709)
Epoch: [88][5230/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6007 (1.6180)	Prec@1 55.000 (56.444)	Prec@5 85.500 (84.709)
Epoch: [88][5240/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.4223 (1.6181)	Prec@1 60.500 (56.441)	Prec@5 86.000 (84.707)
Epoch: [88][5250/9018]	Time 0.622 (0.609)	Data 0.001 (0.001)	Loss 1.7610 (1.6183)	Prec@1 47.000 (56.439)	Prec@5 85.000 (84.705)
Epoch: [88][5260/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.6760 (1.6183)	Prec@1 57.000 (56.440)	Prec@5 84.500 (84.703)
Epoch: [88][5270/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.6497 (1.6183)	Prec@1 54.000 (56.440)	Prec@5 83.500 (84.704)
Epoch: [88][5280/9018]	Time 0.629 (0.609)	Data 0.001 (0.001)	Loss 1.6164 (1.6183)	Prec@1 57.500 (56.441)	Prec@5 84.500 (84.705)
Epoch: [88][5290/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.7194 (1.6184)	Prec@1 55.500 (56.439)	Prec@5 79.500 (84.702)
Epoch: [88][5300/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.5126 (1.6184)	Prec@1 61.000 (56.441)	Prec@5 84.500 (84.701)
Epoch: [88][5310/9018]	Time 0.611 (0.609)	Data 0.001 (0.001)	Loss 1.6938 (1.6184)	Prec@1 53.500 (56.438)	Prec@5 83.500 (84.700)
Epoch: [88][5320/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.6859 (1.6186)	Prec@1 51.500 (56.435)	Prec@5 85.500 (84.700)
Epoch: [88][5330/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.6302 (1.6187)	Prec@1 54.500 (56.430)	Prec@5 83.000 (84.697)
Epoch: [88][5340/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.5763 (1.6186)	Prec@1 59.500 (56.435)	Prec@5 86.000 (84.699)
Epoch: [88][5350/9018]	Time 0.719 (0.609)	Data 0.001 (0.001)	Loss 1.6816 (1.6187)	Prec@1 52.500 (56.430)	Prec@5 84.000 (84.696)
Epoch: [88][5360/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 1.6771 (1.6186)	Prec@1 55.500 (56.432)	Prec@5 80.000 (84.695)
Epoch: [88][5370/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.6025 (1.6187)	Prec@1 56.000 (56.430)	Prec@5 86.000 (84.693)
Epoch: [88][5380/9018]	Time 0.588 (0.609)	Data 0.001 (0.001)	Loss 1.6928 (1.6187)	Prec@1 55.000 (56.430)	Prec@5 83.000 (84.691)
Epoch: [88][5390/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.7415 (1.6188)	Prec@1 53.000 (56.428)	Prec@5 82.000 (84.691)
Epoch: [88][5400/9018]	Time 0.702 (0.609)	Data 0.001 (0.001)	Loss 1.6674 (1.6188)	Prec@1 58.500 (56.428)	Prec@5 84.500 (84.691)
Epoch: [88][5410/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.6851 (1.6188)	Prec@1 57.000 (56.430)	Prec@5 81.000 (84.690)
Epoch: [88][5420/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.7998 (1.6188)	Prec@1 50.500 (56.428)	Prec@5 82.000 (84.692)
Epoch: [88][5430/9018]	Time 0.625 (0.609)	Data 0.001 (0.001)	Loss 1.7528 (1.6188)	Prec@1 57.000 (56.427)	Prec@5 85.000 (84.691)
Epoch: [88][5440/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6929 (1.6188)	Prec@1 50.500 (56.427)	Prec@5 83.000 (84.692)
Epoch: [88][5450/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.5078 (1.6187)	Prec@1 59.000 (56.428)	Prec@5 86.000 (84.694)
Epoch: [88][5460/9018]	Time 0.611 (0.609)	Data 0.001 (0.001)	Loss 1.5856 (1.6187)	Prec@1 60.500 (56.426)	Prec@5 82.500 (84.694)
Epoch: [88][5470/9018]	Time 0.630 (0.609)	Data 0.001 (0.001)	Loss 1.7184 (1.6188)	Prec@1 53.000 (56.425)	Prec@5 83.000 (84.694)
Epoch: [88][5480/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6195 (1.6188)	Prec@1 57.000 (56.425)	Prec@5 82.500 (84.693)
Epoch: [88][5490/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.4350 (1.6188)	Prec@1 58.000 (56.425)	Prec@5 88.500 (84.694)
Epoch: [88][5500/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6352 (1.6188)	Prec@1 55.500 (56.426)	Prec@5 84.500 (84.693)
Epoch: [88][5510/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6064 (1.6187)	Prec@1 55.000 (56.428)	Prec@5 84.500 (84.695)
Epoch: [88][5520/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.6338 (1.6186)	Prec@1 56.000 (56.429)	Prec@5 85.500 (84.697)
Epoch: [88][5530/9018]	Time 0.610 (0.609)	Data 0.001 (0.001)	Loss 1.5821 (1.6185)	Prec@1 60.000 (56.431)	Prec@5 86.500 (84.700)
Epoch: [88][5540/9018]	Time 0.612 (0.609)	Data 0.001 (0.001)	Loss 1.4772 (1.6184)	Prec@1 60.000 (56.432)	Prec@5 89.500 (84.701)
Epoch: [88][5550/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.7923 (1.6184)	Prec@1 54.000 (56.431)	Prec@5 82.500 (84.701)
Epoch: [88][5560/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 1.7460 (1.6185)	Prec@1 54.500 (56.429)	Prec@5 82.500 (84.700)
Epoch: [88][5570/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 1.7015 (1.6186)	Prec@1 57.500 (56.425)	Prec@5 84.500 (84.700)
Epoch: [88][5580/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.6581 (1.6186)	Prec@1 55.500 (56.426)	Prec@5 88.000 (84.701)
Epoch: [88][5590/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.5610 (1.6187)	Prec@1 54.000 (56.424)	Prec@5 87.000 (84.700)
Epoch: [88][5600/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.6194 (1.6187)	Prec@1 59.500 (56.423)	Prec@5 84.000 (84.700)
Epoch: [88][5610/9018]	Time 0.615 (0.609)	Data 0.001 (0.001)	Loss 1.5248 (1.6187)	Prec@1 53.500 (56.421)	Prec@5 89.500 (84.701)
Epoch: [88][5620/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.7376 (1.6187)	Prec@1 55.000 (56.422)	Prec@5 82.500 (84.699)
Epoch: [88][5630/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.5919 (1.6186)	Prec@1 59.500 (56.424)	Prec@5 82.500 (84.701)
Epoch: [88][5640/9018]	Time 0.618 (0.609)	Data 0.001 (0.001)	Loss 1.4560 (1.6186)	Prec@1 58.000 (56.422)	Prec@5 88.000 (84.700)
Epoch: [88][5650/9018]	Time 0.614 (0.609)	Data 0.001 (0.001)	Loss 1.7242 (1.6186)	Prec@1 56.000 (56.424)	Prec@5 81.500 (84.700)
Epoch: [88][5660/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.7325 (1.6187)	Prec@1 55.000 (56.422)	Prec@5 82.000 (84.698)
Epoch: [88][5670/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6124 (1.6187)	Prec@1 60.000 (56.421)	Prec@5 84.500 (84.696)
Epoch: [88][5680/9018]	Time 0.712 (0.609)	Data 0.001 (0.001)	Loss 1.7065 (1.6188)	Prec@1 52.500 (56.416)	Prec@5 84.000 (84.695)
Epoch: [88][5690/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.6210 (1.6188)	Prec@1 59.500 (56.421)	Prec@5 81.500 (84.695)
Epoch: [88][5700/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.9888 (1.6190)	Prec@1 49.500 (56.417)	Prec@5 78.000 (84.690)
Epoch: [88][5710/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.6877 (1.6190)	Prec@1 55.500 (56.415)	Prec@5 83.000 (84.691)
Epoch: [88][5720/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.7909 (1.6191)	Prec@1 50.500 (56.412)	Prec@5 81.000 (84.688)
Epoch: [88][5730/9018]	Time 0.724 (0.609)	Data 0.001 (0.001)	Loss 1.7203 (1.6191)	Prec@1 57.500 (56.412)	Prec@5 82.500 (84.689)
Epoch: [88][5740/9018]	Time 0.629 (0.609)	Data 0.001 (0.001)	Loss 1.6061 (1.6192)	Prec@1 52.000 (56.409)	Prec@5 84.500 (84.688)
Epoch: [88][5750/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.8057 (1.6191)	Prec@1 56.500 (56.411)	Prec@5 81.500 (84.688)
Epoch: [88][5760/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 1.5191 (1.6191)	Prec@1 63.500 (56.412)	Prec@5 82.500 (84.688)
Epoch: [88][5770/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.6526 (1.6192)	Prec@1 53.500 (56.410)	Prec@5 84.500 (84.689)
Epoch: [88][5780/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.7492 (1.6191)	Prec@1 56.000 (56.410)	Prec@5 84.000 (84.690)
Epoch: [88][5790/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.8017 (1.6191)	Prec@1 51.000 (56.410)	Prec@5 80.000 (84.690)
Epoch: [88][5800/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.5460 (1.6192)	Prec@1 60.500 (56.407)	Prec@5 86.000 (84.691)
Epoch: [88][5810/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.4601 (1.6192)	Prec@1 63.000 (56.407)	Prec@5 86.500 (84.689)
Epoch: [88][5820/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.5409 (1.6192)	Prec@1 59.000 (56.406)	Prec@5 85.500 (84.690)
Epoch: [88][5830/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.7129 (1.6192)	Prec@1 54.500 (56.405)	Prec@5 83.000 (84.689)
Epoch: [88][5840/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.6469 (1.6191)	Prec@1 58.500 (56.407)	Prec@5 86.500 (84.690)
Epoch: [88][5850/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.6598 (1.6193)	Prec@1 55.500 (56.402)	Prec@5 82.000 (84.688)
Epoch: [88][5860/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6289 (1.6193)	Prec@1 57.000 (56.399)	Prec@5 84.000 (84.687)
Epoch: [88][5870/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.5365 (1.6193)	Prec@1 60.000 (56.400)	Prec@5 84.000 (84.689)
Epoch: [88][5880/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.7895 (1.6194)	Prec@1 56.000 (56.400)	Prec@5 80.000 (84.685)
Epoch: [88][5890/9018]	Time 0.635 (0.609)	Data 0.001 (0.001)	Loss 1.6362 (1.6194)	Prec@1 59.000 (56.400)	Prec@5 82.500 (84.686)
Epoch: [88][5900/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 1.8426 (1.6194)	Prec@1 52.500 (56.401)	Prec@5 83.000 (84.686)
Epoch: [88][5910/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.6724 (1.6194)	Prec@1 55.500 (56.402)	Prec@5 85.000 (84.686)
Epoch: [88][5920/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.7494 (1.6195)	Prec@1 56.500 (56.401)	Prec@5 82.000 (84.685)
Epoch: [88][5930/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.5803 (1.6195)	Prec@1 64.500 (56.400)	Prec@5 86.000 (84.685)
Epoch: [88][5940/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 1.5788 (1.6197)	Prec@1 56.000 (56.397)	Prec@5 85.500 (84.683)
Epoch: [88][5950/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.5342 (1.6196)	Prec@1 56.000 (56.400)	Prec@5 86.500 (84.684)
Epoch: [88][5960/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.6825 (1.6195)	Prec@1 53.500 (56.399)	Prec@5 83.500 (84.685)
Epoch: [88][5970/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.5974 (1.6196)	Prec@1 59.000 (56.399)	Prec@5 83.500 (84.683)
Epoch: [88][5980/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.6866 (1.6197)	Prec@1 59.000 (56.399)	Prec@5 83.500 (84.682)
Epoch: [88][5990/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.7200 (1.6197)	Prec@1 57.000 (56.400)	Prec@5 85.500 (84.684)
Epoch: [88][6000/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6389 (1.6197)	Prec@1 54.500 (56.399)	Prec@5 83.500 (84.684)
Epoch: [88][6010/9018]	Time 0.713 (0.609)	Data 0.001 (0.001)	Loss 1.5954 (1.6196)	Prec@1 57.000 (56.399)	Prec@5 86.500 (84.686)
Epoch: [88][6020/9018]	Time 0.610 (0.609)	Data 0.001 (0.001)	Loss 1.7143 (1.6196)	Prec@1 56.000 (56.401)	Prec@5 80.000 (84.688)
Epoch: [88][6030/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 1.6499 (1.6196)	Prec@1 57.000 (56.400)	Prec@5 82.500 (84.687)
Epoch: [88][6040/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.5869 (1.6198)	Prec@1 56.500 (56.394)	Prec@5 84.500 (84.684)
Epoch: [88][6050/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.6575 (1.6198)	Prec@1 59.500 (56.394)	Prec@5 82.000 (84.682)
Epoch: [88][6060/9018]	Time 0.706 (0.609)	Data 0.001 (0.001)	Loss 1.7739 (1.6199)	Prec@1 51.000 (56.393)	Prec@5 82.000 (84.680)
Epoch: [88][6070/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.7381 (1.6200)	Prec@1 53.000 (56.391)	Prec@5 83.000 (84.680)
Epoch: [88][6080/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.5810 (1.6199)	Prec@1 56.500 (56.391)	Prec@5 86.500 (84.681)
Epoch: [88][6090/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 1.6629 (1.6199)	Prec@1 56.500 (56.390)	Prec@5 86.000 (84.681)
Epoch: [88][6100/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.4433 (1.6198)	Prec@1 61.000 (56.393)	Prec@5 85.000 (84.682)
Epoch: [88][6110/9018]	Time 0.633 (0.609)	Data 0.001 (0.001)	Loss 1.7818 (1.6198)	Prec@1 53.500 (56.391)	Prec@5 84.000 (84.684)
Epoch: [88][6120/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.7196 (1.6198)	Prec@1 58.000 (56.392)	Prec@5 84.000 (84.686)
Epoch: [88][6130/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.5206 (1.6198)	Prec@1 59.500 (56.391)	Prec@5 84.000 (84.684)
Epoch: [88][6140/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.8834 (1.6198)	Prec@1 47.500 (56.390)	Prec@5 81.000 (84.684)
Epoch: [88][6150/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.4610 (1.6197)	Prec@1 60.000 (56.392)	Prec@5 85.000 (84.686)
Epoch: [88][6160/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.5579 (1.6197)	Prec@1 53.000 (56.392)	Prec@5 84.500 (84.685)
Epoch: [88][6170/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.4891 (1.6197)	Prec@1 59.500 (56.392)	Prec@5 87.000 (84.686)
Epoch: [88][6180/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.7829 (1.6197)	Prec@1 54.000 (56.390)	Prec@5 79.500 (84.685)
Epoch: [88][6190/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.8762 (1.6199)	Prec@1 50.500 (56.386)	Prec@5 79.500 (84.683)
Epoch: [88][6200/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.7035 (1.6199)	Prec@1 55.000 (56.387)	Prec@5 85.000 (84.683)
Epoch: [88][6210/9018]	Time 0.587 (0.609)	Data 0.001 (0.001)	Loss 1.7000 (1.6198)	Prec@1 57.500 (56.389)	Prec@5 81.000 (84.685)
Epoch: [88][6220/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 1.6179 (1.6197)	Prec@1 60.000 (56.391)	Prec@5 88.500 (84.687)
Epoch: [88][6230/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.5214 (1.6197)	Prec@1 57.500 (56.391)	Prec@5 86.500 (84.687)
Epoch: [88][6240/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6659 (1.6197)	Prec@1 54.500 (56.392)	Prec@5 83.000 (84.686)
Epoch: [88][6250/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.7340 (1.6198)	Prec@1 53.000 (56.391)	Prec@5 85.000 (84.684)
Epoch: [88][6260/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.6690 (1.6199)	Prec@1 56.500 (56.388)	Prec@5 83.500 (84.683)
Epoch: [88][6270/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.4742 (1.6198)	Prec@1 58.500 (56.389)	Prec@5 89.000 (84.685)
Epoch: [88][6280/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.5371 (1.6198)	Prec@1 57.500 (56.389)	Prec@5 86.000 (84.685)
Epoch: [88][6290/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.5920 (1.6197)	Prec@1 57.000 (56.388)	Prec@5 87.500 (84.688)
Epoch: [88][6300/9018]	Time 0.611 (0.609)	Data 0.001 (0.001)	Loss 1.5816 (1.6198)	Prec@1 60.000 (56.387)	Prec@5 84.500 (84.687)
Epoch: [88][6310/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.8329 (1.6198)	Prec@1 51.000 (56.387)	Prec@5 83.000 (84.687)
Epoch: [88][6320/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.5515 (1.6199)	Prec@1 58.000 (56.385)	Prec@5 88.000 (84.685)
Epoch: [88][6330/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 1.6943 (1.6201)	Prec@1 54.500 (56.383)	Prec@5 82.000 (84.682)
Epoch: [88][6340/9018]	Time 0.712 (0.609)	Data 0.001 (0.001)	Loss 1.7871 (1.6202)	Prec@1 54.000 (56.380)	Prec@5 81.500 (84.682)
Epoch: [88][6350/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.5207 (1.6202)	Prec@1 63.000 (56.380)	Prec@5 85.500 (84.681)
Epoch: [88][6360/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 1.6082 (1.6202)	Prec@1 53.500 (56.379)	Prec@5 86.000 (84.678)
Epoch: [88][6370/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 1.8111 (1.6203)	Prec@1 50.500 (56.379)	Prec@5 82.500 (84.676)
Epoch: [88][6380/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.6025 (1.6203)	Prec@1 56.500 (56.377)	Prec@5 84.000 (84.675)
Epoch: [88][6390/9018]	Time 0.720 (0.609)	Data 0.001 (0.001)	Loss 1.4210 (1.6203)	Prec@1 63.500 (56.379)	Prec@5 87.500 (84.675)
Epoch: [88][6400/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.5444 (1.6202)	Prec@1 61.500 (56.382)	Prec@5 87.000 (84.677)
Epoch: [88][6410/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.6680 (1.6203)	Prec@1 55.000 (56.378)	Prec@5 86.000 (84.677)
Epoch: [88][6420/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.5756 (1.6202)	Prec@1 58.000 (56.380)	Prec@5 87.000 (84.679)
Epoch: [88][6430/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.7264 (1.6203)	Prec@1 53.500 (56.381)	Prec@5 85.000 (84.679)
Epoch: [88][6440/9018]	Time 0.634 (0.609)	Data 0.001 (0.001)	Loss 1.5609 (1.6203)	Prec@1 61.500 (56.380)	Prec@5 84.500 (84.679)
Epoch: [88][6450/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6891 (1.6202)	Prec@1 55.500 (56.384)	Prec@5 84.500 (84.680)
Epoch: [88][6460/9018]	Time 0.629 (0.609)	Data 0.001 (0.001)	Loss 1.6101 (1.6202)	Prec@1 59.000 (56.382)	Prec@5 86.000 (84.681)
Epoch: [88][6470/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.7073 (1.6202)	Prec@1 55.000 (56.381)	Prec@5 81.000 (84.682)
Epoch: [88][6480/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.5832 (1.6202)	Prec@1 55.000 (56.382)	Prec@5 85.500 (84.682)
Epoch: [88][6490/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.6462 (1.6203)	Prec@1 58.500 (56.381)	Prec@5 80.500 (84.678)
Epoch: [88][6500/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.6335 (1.6203)	Prec@1 53.500 (56.381)	Prec@5 84.500 (84.677)
Epoch: [88][6510/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.3155 (1.6203)	Prec@1 63.500 (56.383)	Prec@5 88.500 (84.677)
Epoch: [88][6520/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.7593 (1.6204)	Prec@1 53.000 (56.381)	Prec@5 85.000 (84.677)
Epoch: [88][6530/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 1.6650 (1.6203)	Prec@1 53.500 (56.381)	Prec@5 84.500 (84.678)
Epoch: [88][6540/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.4235 (1.6204)	Prec@1 63.000 (56.378)	Prec@5 89.500 (84.678)
Epoch: [88][6550/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.5469 (1.6205)	Prec@1 55.500 (56.377)	Prec@5 85.500 (84.676)
Epoch: [88][6560/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.4158 (1.6205)	Prec@1 60.000 (56.374)	Prec@5 91.500 (84.677)
Epoch: [88][6570/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 1.4811 (1.6205)	Prec@1 57.000 (56.375)	Prec@5 83.000 (84.678)
Epoch: [88][6580/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.6517 (1.6205)	Prec@1 56.500 (56.373)	Prec@5 85.000 (84.678)
Epoch: [88][6590/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.6047 (1.6207)	Prec@1 56.000 (56.370)	Prec@5 84.500 (84.675)
Epoch: [88][6600/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 2.0035 (1.6206)	Prec@1 52.000 (56.372)	Prec@5 78.500 (84.677)
Epoch: [88][6610/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.4556 (1.6206)	Prec@1 61.000 (56.371)	Prec@5 88.000 (84.677)
Epoch: [88][6620/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.5233 (1.6206)	Prec@1 55.000 (56.370)	Prec@5 87.500 (84.677)
Epoch: [88][6630/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.8693 (1.6205)	Prec@1 49.500 (56.370)	Prec@5 80.500 (84.678)
Epoch: [88][6640/9018]	Time 0.618 (0.609)	Data 0.001 (0.001)	Loss 1.3936 (1.6205)	Prec@1 57.000 (56.369)	Prec@5 88.500 (84.679)
Epoch: [88][6650/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.6614 (1.6206)	Prec@1 53.000 (56.367)	Prec@5 83.500 (84.679)
Epoch: [88][6660/9018]	Time 0.622 (0.609)	Data 0.001 (0.001)	Loss 1.8513 (1.6207)	Prec@1 53.500 (56.363)	Prec@5 81.000 (84.678)
Epoch: [88][6670/9018]	Time 0.721 (0.609)	Data 0.001 (0.001)	Loss 1.5294 (1.6207)	Prec@1 53.500 (56.363)	Prec@5 85.000 (84.677)
Epoch: [88][6680/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.5504 (1.6207)	Prec@1 60.000 (56.363)	Prec@5 85.000 (84.676)
Epoch: [88][6690/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.6885 (1.6207)	Prec@1 55.500 (56.364)	Prec@5 85.500 (84.677)
Epoch: [88][6700/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.4543 (1.6207)	Prec@1 64.500 (56.365)	Prec@5 88.000 (84.678)
Epoch: [88][6710/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.6474 (1.6207)	Prec@1 52.000 (56.363)	Prec@5 84.500 (84.680)
Epoch: [88][6720/9018]	Time 0.712 (0.609)	Data 0.001 (0.001)	Loss 1.5848 (1.6207)	Prec@1 58.500 (56.364)	Prec@5 85.000 (84.680)
Epoch: [88][6730/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.5035 (1.6208)	Prec@1 62.500 (56.363)	Prec@5 87.500 (84.678)
Epoch: [88][6740/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 1.7947 (1.6209)	Prec@1 53.000 (56.362)	Prec@5 81.000 (84.677)
Epoch: [88][6750/9018]	Time 0.607 (0.609)	Data 0.001 (0.001)	Loss 1.4139 (1.6209)	Prec@1 62.500 (56.363)	Prec@5 87.500 (84.676)
Epoch: [88][6760/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.7215 (1.6209)	Prec@1 53.000 (56.363)	Prec@5 81.500 (84.676)
Epoch: [88][6770/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.6821 (1.6209)	Prec@1 51.500 (56.361)	Prec@5 84.000 (84.673)
Epoch: [88][6780/9018]	Time 0.613 (0.609)	Data 0.001 (0.001)	Loss 1.6896 (1.6210)	Prec@1 56.500 (56.359)	Prec@5 85.000 (84.672)
Epoch: [88][6790/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 1.6356 (1.6210)	Prec@1 56.000 (56.360)	Prec@5 85.500 (84.673)
Epoch: [88][6800/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.6769 (1.6209)	Prec@1 57.500 (56.363)	Prec@5 84.000 (84.675)
Epoch: [88][6810/9018]	Time 0.620 (0.609)	Data 0.001 (0.001)	Loss 1.7254 (1.6210)	Prec@1 52.000 (56.363)	Prec@5 82.000 (84.675)
Epoch: [88][6820/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.7284 (1.6210)	Prec@1 57.500 (56.361)	Prec@5 85.500 (84.673)
Epoch: [88][6830/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.8082 (1.6211)	Prec@1 49.500 (56.359)	Prec@5 81.000 (84.672)
Epoch: [88][6840/9018]	Time 0.618 (0.609)	Data 0.001 (0.001)	Loss 1.6475 (1.6211)	Prec@1 54.500 (56.357)	Prec@5 86.000 (84.672)
Epoch: [88][6850/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6271 (1.6212)	Prec@1 54.500 (56.356)	Prec@5 83.000 (84.670)
Epoch: [88][6860/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.6485 (1.6211)	Prec@1 60.000 (56.357)	Prec@5 84.500 (84.672)
Epoch: [88][6870/9018]	Time 0.623 (0.609)	Data 0.001 (0.001)	Loss 1.8118 (1.6212)	Prec@1 49.500 (56.355)	Prec@5 83.000 (84.670)
Epoch: [88][6880/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.5391 (1.6213)	Prec@1 58.000 (56.355)	Prec@5 86.500 (84.669)
Epoch: [88][6890/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.5270 (1.6213)	Prec@1 60.000 (56.354)	Prec@5 85.000 (84.667)
Epoch: [88][6900/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 1.7294 (1.6213)	Prec@1 53.500 (56.356)	Prec@5 84.500 (84.667)
Epoch: [88][6910/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.4583 (1.6212)	Prec@1 60.000 (56.356)	Prec@5 88.500 (84.667)
Epoch: [88][6920/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.6502 (1.6212)	Prec@1 59.000 (56.358)	Prec@5 82.000 (84.667)
Epoch: [88][6930/9018]	Time 0.607 (0.609)	Data 0.001 (0.001)	Loss 1.9524 (1.6213)	Prec@1 54.000 (56.356)	Prec@5 77.500 (84.666)
Epoch: [88][6940/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.5958 (1.6212)	Prec@1 59.500 (56.357)	Prec@5 84.000 (84.668)
Epoch: [88][6950/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.6068 (1.6212)	Prec@1 55.500 (56.357)	Prec@5 85.500 (84.668)
Epoch: [88][6960/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.4747 (1.6212)	Prec@1 55.500 (56.356)	Prec@5 88.000 (84.668)
Epoch: [88][6970/9018]	Time 0.588 (0.609)	Data 0.001 (0.001)	Loss 1.7029 (1.6212)	Prec@1 56.000 (56.357)	Prec@5 85.000 (84.668)
Epoch: [88][6980/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.7059 (1.6213)	Prec@1 49.000 (56.355)	Prec@5 83.000 (84.668)
Epoch: [88][6990/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.7119 (1.6212)	Prec@1 55.500 (56.357)	Prec@5 84.000 (84.670)
Epoch: [88][7000/9018]	Time 0.722 (0.609)	Data 0.001 (0.001)	Loss 1.5613 (1.6211)	Prec@1 60.000 (56.359)	Prec@5 86.500 (84.673)
Epoch: [88][7010/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.8222 (1.6212)	Prec@1 50.000 (56.357)	Prec@5 82.000 (84.672)
Epoch: [88][7020/9018]	Time 0.634 (0.609)	Data 0.001 (0.001)	Loss 1.6663 (1.6213)	Prec@1 54.000 (56.353)	Prec@5 84.000 (84.669)
Epoch: [88][7030/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.4933 (1.6213)	Prec@1 60.500 (56.353)	Prec@5 85.500 (84.670)
Epoch: [88][7040/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.5495 (1.6214)	Prec@1 55.000 (56.350)	Prec@5 84.500 (84.668)
Epoch: [88][7050/9018]	Time 0.725 (0.609)	Data 0.001 (0.001)	Loss 1.6104 (1.6215)	Prec@1 55.000 (56.347)	Prec@5 85.000 (84.666)
Epoch: [88][7060/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.7392 (1.6217)	Prec@1 50.000 (56.344)	Prec@5 84.500 (84.664)
Epoch: [88][7070/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.6797 (1.6217)	Prec@1 56.500 (56.342)	Prec@5 86.000 (84.663)
Epoch: [88][7080/9018]	Time 0.632 (0.609)	Data 0.001 (0.001)	Loss 1.6260 (1.6218)	Prec@1 59.000 (56.342)	Prec@5 84.500 (84.663)
Epoch: [88][7090/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.6591 (1.6217)	Prec@1 57.500 (56.342)	Prec@5 83.500 (84.664)
Epoch: [88][7100/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.4938 (1.6217)	Prec@1 63.500 (56.343)	Prec@5 86.500 (84.665)
Epoch: [88][7110/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.5867 (1.6217)	Prec@1 58.500 (56.342)	Prec@5 86.000 (84.664)
Epoch: [88][7120/9018]	Time 0.621 (0.609)	Data 0.001 (0.001)	Loss 1.7479 (1.6218)	Prec@1 53.500 (56.340)	Prec@5 83.000 (84.663)
Epoch: [88][7130/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.4401 (1.6217)	Prec@1 62.500 (56.342)	Prec@5 86.500 (84.663)
Epoch: [88][7140/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 1.5402 (1.6217)	Prec@1 58.000 (56.343)	Prec@5 85.500 (84.663)
Epoch: [88][7150/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.4762 (1.6217)	Prec@1 56.500 (56.342)	Prec@5 88.500 (84.663)
Epoch: [88][7160/9018]	Time 0.587 (0.609)	Data 0.001 (0.001)	Loss 1.6647 (1.6218)	Prec@1 57.500 (56.340)	Prec@5 83.000 (84.661)
Epoch: [88][7170/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.4349 (1.6217)	Prec@1 61.500 (56.342)	Prec@5 90.000 (84.662)
Epoch: [88][7180/9018]	Time 0.627 (0.609)	Data 0.001 (0.001)	Loss 1.6331 (1.6218)	Prec@1 52.000 (56.341)	Prec@5 86.000 (84.663)
Epoch: [88][7190/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.8324 (1.6217)	Prec@1 52.500 (56.343)	Prec@5 78.500 (84.664)
Epoch: [88][7200/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.6084 (1.6217)	Prec@1 54.500 (56.341)	Prec@5 85.500 (84.663)
Epoch: [88][7210/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.8529 (1.6219)	Prec@1 52.500 (56.338)	Prec@5 83.500 (84.662)
Epoch: [88][7220/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.6732 (1.6219)	Prec@1 54.000 (56.338)	Prec@5 85.500 (84.663)
Epoch: [88][7230/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.8023 (1.6219)	Prec@1 50.000 (56.335)	Prec@5 82.000 (84.664)
Epoch: [88][7240/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 1.5053 (1.6219)	Prec@1 54.500 (56.333)	Prec@5 86.000 (84.664)
Epoch: [88][7250/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.5728 (1.6220)	Prec@1 53.000 (56.331)	Prec@5 88.500 (84.663)
Epoch: [88][7260/9018]	Time 0.604 (0.609)	Data 0.001 (0.001)	Loss 1.5236 (1.6220)	Prec@1 58.500 (56.329)	Prec@5 86.500 (84.661)
Epoch: [88][7270/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.6820 (1.6221)	Prec@1 56.000 (56.328)	Prec@5 84.000 (84.660)
Epoch: [88][7280/9018]	Time 0.613 (0.609)	Data 0.001 (0.001)	Loss 1.7179 (1.6221)	Prec@1 54.500 (56.329)	Prec@5 83.000 (84.659)
Epoch: [88][7290/9018]	Time 0.607 (0.609)	Data 0.001 (0.001)	Loss 1.4931 (1.6221)	Prec@1 59.500 (56.329)	Prec@5 84.500 (84.657)
Epoch: [88][7300/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.7146 (1.6222)	Prec@1 57.000 (56.328)	Prec@5 82.500 (84.658)
Epoch: [88][7310/9018]	Time 0.614 (0.609)	Data 0.001 (0.001)	Loss 1.5557 (1.6222)	Prec@1 60.000 (56.326)	Prec@5 85.500 (84.658)
Epoch: [88][7320/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.4757 (1.6221)	Prec@1 55.500 (56.326)	Prec@5 85.500 (84.659)
Epoch: [88][7330/9018]	Time 0.738 (0.609)	Data 0.001 (0.001)	Loss 1.5818 (1.6222)	Prec@1 54.000 (56.326)	Prec@5 85.500 (84.660)
Epoch: [88][7340/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.6179 (1.6222)	Prec@1 57.000 (56.324)	Prec@5 85.500 (84.659)
Epoch: [88][7350/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.6028 (1.6223)	Prec@1 53.000 (56.323)	Prec@5 85.500 (84.657)
Epoch: [88][7360/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.4870 (1.6223)	Prec@1 61.500 (56.322)	Prec@5 86.500 (84.657)
Epoch: [88][7370/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.6649 (1.6222)	Prec@1 56.000 (56.322)	Prec@5 81.000 (84.659)
Epoch: [88][7380/9018]	Time 0.740 (0.609)	Data 0.001 (0.001)	Loss 1.5318 (1.6222)	Prec@1 56.500 (56.323)	Prec@5 86.500 (84.660)
Epoch: [88][7390/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.5936 (1.6222)	Prec@1 57.000 (56.322)	Prec@5 87.000 (84.659)
Epoch: [88][7400/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.6356 (1.6222)	Prec@1 54.000 (56.322)	Prec@5 83.000 (84.661)
Epoch: [88][7410/9018]	Time 0.590 (0.609)	Data 0.001 (0.001)	Loss 1.6286 (1.6221)	Prec@1 54.500 (56.323)	Prec@5 86.500 (84.660)
Epoch: [88][7420/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.5895 (1.6222)	Prec@1 59.500 (56.321)	Prec@5 86.500 (84.660)
Epoch: [88][7430/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.7005 (1.6222)	Prec@1 51.000 (56.321)	Prec@5 86.000 (84.659)
Epoch: [88][7440/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.6655 (1.6222)	Prec@1 56.500 (56.321)	Prec@5 85.500 (84.660)
Epoch: [88][7450/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.4522 (1.6222)	Prec@1 58.500 (56.319)	Prec@5 88.500 (84.659)
Epoch: [88][7460/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.5110 (1.6222)	Prec@1 62.000 (56.320)	Prec@5 85.000 (84.660)
Epoch: [88][7470/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.3347 (1.6221)	Prec@1 66.000 (56.322)	Prec@5 89.000 (84.661)
Epoch: [88][7480/9018]	Time 0.607 (0.609)	Data 0.001 (0.001)	Loss 1.8242 (1.6222)	Prec@1 54.000 (56.322)	Prec@5 81.500 (84.660)
Epoch: [88][7490/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.4352 (1.6222)	Prec@1 57.000 (56.322)	Prec@5 89.500 (84.660)
Epoch: [88][7500/9018]	Time 0.589 (0.609)	Data 0.001 (0.001)	Loss 1.7975 (1.6222)	Prec@1 50.500 (56.321)	Prec@5 81.500 (84.660)
Epoch: [88][7510/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.6868 (1.6222)	Prec@1 61.000 (56.321)	Prec@5 85.500 (84.660)
Epoch: [88][7520/9018]	Time 0.626 (0.609)	Data 0.001 (0.001)	Loss 1.6227 (1.6221)	Prec@1 56.500 (56.323)	Prec@5 83.500 (84.661)
Epoch: [88][7530/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 1.5747 (1.6221)	Prec@1 58.500 (56.324)	Prec@5 85.500 (84.662)
Epoch: [88][7540/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.4942 (1.6221)	Prec@1 60.500 (56.325)	Prec@5 88.000 (84.664)
Epoch: [88][7550/9018]	Time 0.603 (0.609)	Data 0.001 (0.001)	Loss 1.7170 (1.6221)	Prec@1 54.000 (56.322)	Prec@5 83.500 (84.663)
Epoch: [88][7560/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.5520 (1.6220)	Prec@1 57.000 (56.326)	Prec@5 84.500 (84.665)
Epoch: [88][7570/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.5305 (1.6221)	Prec@1 58.500 (56.324)	Prec@5 87.000 (84.664)
Epoch: [88][7580/9018]	Time 0.608 (0.609)	Data 0.001 (0.001)	Loss 1.3694 (1.6221)	Prec@1 60.500 (56.323)	Prec@5 90.000 (84.663)
Epoch: [88][7590/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.4686 (1.6221)	Prec@1 57.000 (56.325)	Prec@5 87.500 (84.664)
Epoch: [88][7600/9018]	Time 0.590 (0.609)	Data 0.001 (0.001)	Loss 1.8268 (1.6221)	Prec@1 48.500 (56.323)	Prec@5 80.500 (84.663)
Epoch: [88][7610/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.7202 (1.6222)	Prec@1 53.500 (56.322)	Prec@5 85.000 (84.664)
Epoch: [88][7620/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.7232 (1.6222)	Prec@1 51.000 (56.320)	Prec@5 82.000 (84.662)
Epoch: [88][7630/9018]	Time 0.622 (0.609)	Data 0.001 (0.001)	Loss 1.4193 (1.6223)	Prec@1 60.000 (56.319)	Prec@5 89.000 (84.662)
Epoch: [88][7640/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.6942 (1.6223)	Prec@1 56.500 (56.319)	Prec@5 81.500 (84.664)
Epoch: [88][7650/9018]	Time 0.589 (0.609)	Data 0.001 (0.001)	Loss 1.7584 (1.6223)	Prec@1 51.500 (56.319)	Prec@5 82.000 (84.663)
Epoch: [88][7660/9018]	Time 0.740 (0.609)	Data 0.001 (0.001)	Loss 1.3638 (1.6223)	Prec@1 62.500 (56.319)	Prec@5 89.000 (84.664)
Epoch: [88][7670/9018]	Time 0.586 (0.609)	Data 0.001 (0.001)	Loss 1.6429 (1.6223)	Prec@1 53.000 (56.319)	Prec@5 84.000 (84.664)
Epoch: [88][7680/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.4776 (1.6222)	Prec@1 59.500 (56.321)	Prec@5 88.500 (84.664)
Epoch: [88][7690/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.5732 (1.6222)	Prec@1 58.500 (56.322)	Prec@5 86.000 (84.666)
Epoch: [88][7700/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.5193 (1.6222)	Prec@1 59.500 (56.321)	Prec@5 89.000 (84.664)
Epoch: [88][7710/9018]	Time 0.709 (0.609)	Data 0.001 (0.001)	Loss 1.5007 (1.6223)	Prec@1 58.500 (56.320)	Prec@5 87.000 (84.664)
Epoch: [88][7720/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.4400 (1.6223)	Prec@1 57.000 (56.319)	Prec@5 86.000 (84.665)
Epoch: [88][7730/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.7393 (1.6222)	Prec@1 54.500 (56.322)	Prec@5 80.500 (84.666)
Epoch: [88][7740/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.6313 (1.6223)	Prec@1 56.500 (56.320)	Prec@5 85.000 (84.666)
Epoch: [88][7750/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.6957 (1.6223)	Prec@1 54.500 (56.320)	Prec@5 84.000 (84.667)
Epoch: [88][7760/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.7917 (1.6224)	Prec@1 54.000 (56.317)	Prec@5 79.000 (84.665)
Epoch: [88][7770/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.7694 (1.6224)	Prec@1 52.000 (56.315)	Prec@5 80.500 (84.664)
Epoch: [88][7780/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.6217 (1.6224)	Prec@1 56.500 (56.313)	Prec@5 86.500 (84.664)
Epoch: [88][7790/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.5210 (1.6224)	Prec@1 54.500 (56.314)	Prec@5 88.500 (84.664)
Epoch: [88][7800/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.5793 (1.6224)	Prec@1 60.000 (56.318)	Prec@5 86.000 (84.665)
Epoch: [88][7810/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.4810 (1.6223)	Prec@1 57.500 (56.319)	Prec@5 90.500 (84.667)
Epoch: [88][7820/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.4428 (1.6222)	Prec@1 61.500 (56.321)	Prec@5 86.000 (84.668)
Epoch: [88][7830/9018]	Time 0.607 (0.609)	Data 0.001 (0.001)	Loss 1.5897 (1.6222)	Prec@1 58.500 (56.320)	Prec@5 83.000 (84.669)
Epoch: [88][7840/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.4946 (1.6222)	Prec@1 61.500 (56.320)	Prec@5 86.500 (84.668)
Epoch: [88][7850/9018]	Time 0.612 (0.609)	Data 0.001 (0.001)	Loss 1.7289 (1.6223)	Prec@1 54.500 (56.317)	Prec@5 83.000 (84.666)
Epoch: [88][7860/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.7312 (1.6224)	Prec@1 56.500 (56.315)	Prec@5 82.000 (84.665)
Epoch: [88][7870/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.5266 (1.6224)	Prec@1 58.500 (56.317)	Prec@5 87.000 (84.665)
Epoch: [88][7880/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.7416 (1.6224)	Prec@1 55.500 (56.314)	Prec@5 83.000 (84.664)
Epoch: [88][7890/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.6640 (1.6224)	Prec@1 56.000 (56.314)	Prec@5 85.000 (84.665)
Epoch: [88][7900/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.6519 (1.6224)	Prec@1 54.500 (56.312)	Prec@5 83.000 (84.662)
Epoch: [88][7910/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.6271 (1.6225)	Prec@1 59.000 (56.312)	Prec@5 82.000 (84.661)
Epoch: [88][7920/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.5905 (1.6225)	Prec@1 57.000 (56.312)	Prec@5 86.000 (84.661)
Epoch: [88][7930/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.4619 (1.6226)	Prec@1 59.000 (56.311)	Prec@5 87.500 (84.660)
Epoch: [88][7940/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.8447 (1.6226)	Prec@1 54.500 (56.310)	Prec@5 79.500 (84.659)
Epoch: [88][7950/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.4799 (1.6226)	Prec@1 61.000 (56.309)	Prec@5 87.500 (84.660)
Epoch: [88][7960/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.5226 (1.6226)	Prec@1 55.000 (56.309)	Prec@5 89.500 (84.661)
Epoch: [88][7970/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.6876 (1.6227)	Prec@1 54.500 (56.308)	Prec@5 81.000 (84.659)
Epoch: [88][7980/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.5294 (1.6227)	Prec@1 56.000 (56.309)	Prec@5 87.500 (84.660)
Epoch: [88][7990/9018]	Time 0.707 (0.609)	Data 0.001 (0.001)	Loss 1.7013 (1.6227)	Prec@1 51.000 (56.308)	Prec@5 84.500 (84.659)
Epoch: [88][8000/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.6823 (1.6227)	Prec@1 56.000 (56.307)	Prec@5 86.000 (84.660)
Epoch: [88][8010/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.7086 (1.6228)	Prec@1 51.500 (56.305)	Prec@5 84.000 (84.658)
Epoch: [88][8020/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.6190 (1.6228)	Prec@1 55.000 (56.304)	Prec@5 86.000 (84.659)
Epoch: [88][8030/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.4796 (1.6227)	Prec@1 59.500 (56.305)	Prec@5 87.500 (84.659)
Epoch: [88][8040/9018]	Time 0.722 (0.609)	Data 0.001 (0.001)	Loss 1.5176 (1.6227)	Prec@1 59.500 (56.304)	Prec@5 85.000 (84.659)
Epoch: [88][8050/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.6265 (1.6228)	Prec@1 57.000 (56.302)	Prec@5 84.000 (84.658)
Epoch: [88][8060/9018]	Time 0.599 (0.609)	Data 0.001 (0.001)	Loss 1.6562 (1.6228)	Prec@1 52.500 (56.300)	Prec@5 85.500 (84.658)
Epoch: [88][8070/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.5423 (1.6228)	Prec@1 60.500 (56.300)	Prec@5 85.000 (84.659)
Epoch: [88][8080/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.6854 (1.6228)	Prec@1 58.000 (56.299)	Prec@5 82.500 (84.658)
Epoch: [88][8090/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.5977 (1.6228)	Prec@1 54.500 (56.298)	Prec@5 85.500 (84.657)
Epoch: [88][8100/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.6267 (1.6227)	Prec@1 55.500 (56.301)	Prec@5 84.500 (84.659)
Epoch: [88][8110/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.6603 (1.6228)	Prec@1 57.000 (56.300)	Prec@5 87.500 (84.659)
Epoch: [88][8120/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.7436 (1.6228)	Prec@1 50.500 (56.298)	Prec@5 81.000 (84.658)
Epoch: [88][8130/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.5812 (1.6228)	Prec@1 60.000 (56.298)	Prec@5 85.500 (84.658)
Epoch: [88][8140/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.7742 (1.6229)	Prec@1 55.000 (56.296)	Prec@5 81.500 (84.656)
Epoch: [88][8150/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 2.1457 (1.6231)	Prec@1 48.500 (56.293)	Prec@5 75.500 (84.655)
Epoch: [88][8160/9018]	Time 0.598 (0.609)	Data 0.001 (0.001)	Loss 1.7406 (1.6230)	Prec@1 49.500 (56.295)	Prec@5 85.000 (84.656)
Epoch: [88][8170/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.9196 (1.6231)	Prec@1 51.000 (56.292)	Prec@5 78.000 (84.655)
Epoch: [88][8180/9018]	Time 0.590 (0.609)	Data 0.001 (0.001)	Loss 1.6630 (1.6231)	Prec@1 52.500 (56.293)	Prec@5 83.000 (84.655)
Epoch: [88][8190/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.5398 (1.6231)	Prec@1 58.500 (56.295)	Prec@5 87.000 (84.655)
Epoch: [88][8200/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.5311 (1.6230)	Prec@1 58.000 (56.296)	Prec@5 85.500 (84.657)
Epoch: [88][8210/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.5125 (1.6230)	Prec@1 57.000 (56.298)	Prec@5 88.000 (84.658)
Epoch: [88][8220/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.5165 (1.6230)	Prec@1 60.000 (56.297)	Prec@5 87.500 (84.657)
Epoch: [88][8230/9018]	Time 0.602 (0.609)	Data 0.001 (0.001)	Loss 1.6790 (1.6230)	Prec@1 56.500 (56.298)	Prec@5 83.000 (84.658)
Epoch: [88][8240/9018]	Time 0.605 (0.609)	Data 0.001 (0.001)	Loss 1.7664 (1.6230)	Prec@1 51.500 (56.296)	Prec@5 81.500 (84.657)
Epoch: [88][8250/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.6237 (1.6230)	Prec@1 55.000 (56.297)	Prec@5 87.000 (84.658)
Epoch: [88][8260/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.8688 (1.6230)	Prec@1 52.000 (56.296)	Prec@5 82.000 (84.658)
Epoch: [88][8270/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.7689 (1.6231)	Prec@1 53.000 (56.295)	Prec@5 84.000 (84.656)
Epoch: [88][8280/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.5537 (1.6231)	Prec@1 61.000 (56.294)	Prec@5 87.000 (84.656)
Epoch: [88][8290/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 1.6723 (1.6231)	Prec@1 54.500 (56.294)	Prec@5 83.000 (84.656)
Epoch: [88][8300/9018]	Time 0.587 (0.609)	Data 0.001 (0.001)	Loss 1.8062 (1.6232)	Prec@1 54.000 (56.295)	Prec@5 82.500 (84.656)
Epoch: [88][8310/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.7472 (1.6232)	Prec@1 57.000 (56.294)	Prec@5 79.500 (84.655)
Epoch: [88][8320/9018]	Time 0.729 (0.609)	Data 0.001 (0.001)	Loss 1.5281 (1.6231)	Prec@1 55.000 (56.294)	Prec@5 87.500 (84.657)
Epoch: [88][8330/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.5305 (1.6231)	Prec@1 57.000 (56.295)	Prec@5 85.500 (84.658)
Epoch: [88][8340/9018]	Time 0.594 (0.609)	Data 0.001 (0.001)	Loss 1.6133 (1.6231)	Prec@1 60.000 (56.294)	Prec@5 83.500 (84.657)
Epoch: [88][8350/9018]	Time 0.616 (0.609)	Data 0.001 (0.001)	Loss 1.7878 (1.6231)	Prec@1 56.000 (56.295)	Prec@5 81.500 (84.659)
Epoch: [88][8360/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.7733 (1.6231)	Prec@1 52.000 (56.295)	Prec@5 82.500 (84.659)
Epoch: [88][8370/9018]	Time 0.702 (0.609)	Data 0.001 (0.001)	Loss 1.8392 (1.6230)	Prec@1 54.000 (56.297)	Prec@5 80.500 (84.658)
Epoch: [88][8380/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.6527 (1.6230)	Prec@1 58.500 (56.300)	Prec@5 83.000 (84.658)
Epoch: [88][8390/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.3889 (1.6230)	Prec@1 61.000 (56.300)	Prec@5 88.500 (84.658)
Epoch: [88][8400/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.7021 (1.6230)	Prec@1 53.500 (56.299)	Prec@5 85.000 (84.657)
Epoch: [88][8410/9018]	Time 0.592 (0.609)	Data 0.001 (0.001)	Loss 1.6620 (1.6230)	Prec@1 55.500 (56.298)	Prec@5 85.000 (84.658)
Epoch: [88][8420/9018]	Time 0.601 (0.609)	Data 0.001 (0.001)	Loss 1.7001 (1.6230)	Prec@1 51.500 (56.296)	Prec@5 83.500 (84.658)
Epoch: [88][8430/9018]	Time 0.591 (0.609)	Data 0.001 (0.001)	Loss 1.6167 (1.6230)	Prec@1 52.500 (56.296)	Prec@5 87.000 (84.659)
Epoch: [88][8440/9018]	Time 0.597 (0.609)	Data 0.001 (0.001)	Loss 1.6051 (1.6230)	Prec@1 58.500 (56.297)	Prec@5 86.500 (84.659)
Epoch: [88][8450/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.4976 (1.6230)	Prec@1 57.000 (56.299)	Prec@5 84.000 (84.659)
Epoch: [88][8460/9018]	Time 0.593 (0.609)	Data 0.001 (0.001)	Loss 1.2740 (1.6229)	Prec@1 66.500 (56.299)	Prec@5 91.000 (84.661)
Epoch: [88][8470/9018]	Time 0.600 (0.609)	Data 0.001 (0.001)	Loss 1.6496 (1.6230)	Prec@1 56.000 (56.298)	Prec@5 85.000 (84.661)
Epoch: [88][8480/9018]	Time 0.595 (0.609)	Data 0.001 (0.001)	Loss 1.8382 (1.6230)	Prec@1 54.500 (56.298)	Prec@5 80.500 (84.660)
Epoch: [88][8490/9018]	Time 0.613 (0.609)	Data 0.001 (0.001)	Loss 1.6283 (1.6231)	Prec@1 51.500 (56.296)	Prec@5 86.500 (84.660)
Epoch: [88][8500/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.5085 (1.6231)	Prec@1 62.000 (56.297)	Prec@5 86.000 (84.659)
Epoch: [88][8510/9018]	Time 0.596 (0.609)	Data 0.001 (0.001)	Loss 1.4734 (1.6231)	Prec@1 61.500 (56.297)	Prec@5 85.000 (84.658)
Epoch: [88][8520/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 1.6866 (1.6232)	Prec@1 48.000 (56.293)	Prec@5 83.000 (84.658)
Epoch: [88][8530/9018]	Time 0.588 (0.609)	Data 0.001 (0.001)	Loss 1.6494 (1.6232)	Prec@1 55.000 (56.293)	Prec@5 83.000 (84.659)
Epoch: [88][8540/9018]	Time 0.606 (0.609)	Data 0.001 (0.001)	Loss 1.5000 (1.6231)	Prec@1 61.000 (56.294)	Prec@5 87.000 (84.660)
Epoch: [88][8550/9018]	Time 0.596 (0.608)	Data 0.001 (0.001)	Loss 1.7454 (1.6232)	Prec@1 53.000 (56.292)	Prec@5 80.500 (84.658)
Epoch: [88][8560/9018]	Time 0.597 (0.608)	Data 0.001 (0.001)	Loss 1.4835 (1.6231)	Prec@1 61.000 (56.293)	Prec@5 85.500 (84.659)
Epoch: [88][8570/9018]	Time 0.601 (0.608)	Data 0.001 (0.001)	Loss 1.5983 (1.6232)	Prec@1 55.500 (56.292)	Prec@5 84.000 (84.657)
Epoch: [88][8580/9018]	Time 0.593 (0.608)	Data 0.001 (0.001)	Loss 1.7405 (1.6233)	Prec@1 53.500 (56.291)	Prec@5 82.500 (84.657)
Epoch: [88][8590/9018]	Time 0.596 (0.608)	Data 0.001 (0.001)	Loss 1.7964 (1.6233)	Prec@1 48.500 (56.292)	Prec@5 84.000 (84.656)
Epoch: [88][8600/9018]	Time 0.597 (0.608)	Data 0.001 (0.001)	Loss 1.5925 (1.6233)	Prec@1 58.500 (56.293)	Prec@5 83.000 (84.656)
Epoch: [88][8610/9018]	Time 0.601 (0.608)	Data 0.001 (0.001)	Loss 1.5795 (1.6233)	Prec@1 56.500 (56.293)	Prec@5 84.500 (84.656)
Epoch: [88][8620/9018]	Time 0.594 (0.608)	Data 0.001 (0.001)	Loss 1.5988 (1.6234)	Prec@1 59.500 (56.294)	Prec@5 85.000 (84.654)
Epoch: [88][8630/9018]	Time 0.596 (0.608)	Data 0.001 (0.001)	Loss 1.5574 (1.6234)	Prec@1 59.500 (56.292)	Prec@5 88.000 (84.653)
Epoch: [88][8640/9018]	Time 0.594 (0.608)	Data 0.001 (0.001)	Loss 1.7379 (1.6234)	Prec@1 52.500 (56.291)	Prec@5 85.000 (84.653)
Epoch: [88][8650/9018]	Time 0.729 (0.608)	Data 0.001 (0.001)	Loss 1.6200 (1.6234)	Prec@1 53.500 (56.290)	Prec@5 89.500 (84.654)
Epoch: [88][8660/9018]	Time 0.597 (0.608)	Data 0.001 (0.001)	Loss 1.5421 (1.6235)	Prec@1 58.000 (56.290)	Prec@5 83.000 (84.652)
Epoch: [88][8670/9018]	Time 0.602 (0.608)	Data 0.001 (0.001)	Loss 1.6753 (1.6235)	Prec@1 62.500 (56.292)	Prec@5 82.500 (84.653)
Epoch: [88][8680/9018]	Time 0.595 (0.608)	Data 0.001 (0.001)	Loss 1.5143 (1.6235)	Prec@1 59.500 (56.292)	Prec@5 84.000 (84.651)
Epoch: [88][8690/9018]	Time 0.598 (0.608)	Data 0.001 (0.001)	Loss 1.6783 (1.6235)	Prec@1 57.000 (56.293)	Prec@5 84.000 (84.651)
Epoch: [88][8700/9018]	Time 0.720 (0.608)	Data 0.001 (0.001)	Loss 1.5657 (1.6235)	Prec@1 59.000 (56.292)	Prec@5 86.000 (84.650)
Epoch: [88][8710/9018]	Time 0.593 (0.608)	Data 0.001 (0.001)	Loss 1.9611 (1.6235)	Prec@1 49.000 (56.293)	Prec@5 79.000 (84.650)
Epoch: [88][8720/9018]	Time 0.595 (0.608)	Data 0.001 (0.001)	Loss 1.4826 (1.6236)	Prec@1 58.500 (56.291)	Prec@5 87.500 (84.650)
Epoch: [88][8730/9018]	Time 0.595 (0.608)	Data 0.001 (0.001)	Loss 1.5510 (1.6237)	Prec@1 57.000 (56.289)	Prec@5 86.000 (84.650)
Epoch: [88][8740/9018]	Time 0.607 (0.608)	Data 0.001 (0.001)	Loss 1.3945 (1.6236)	Prec@1 65.500 (56.290)	Prec@5 87.500 (84.651)
Epoch: [88][8750/9018]	Time 0.603 (0.608)	Data 0.001 (0.001)	Loss 1.7158 (1.6237)	Prec@1 49.500 (56.289)	Prec@5 83.000 (84.649)
Epoch: [88][8760/9018]	Time 0.596 (0.608)	Data 0.001 (0.001)	Loss 1.6928 (1.6237)	Prec@1 54.000 (56.290)	Prec@5 84.500 (84.649)
Epoch: [88][8770/9018]	Time 0.593 (0.608)	Data 0.001 (0.001)	Loss 1.6184 (1.6237)	Prec@1 55.500 (56.287)	Prec@5 81.500 (84.648)
Epoch: [88][8780/9018]	Time 0.601 (0.608)	Data 0.001 (0.001)	Loss 1.5615 (1.6238)	Prec@1 57.500 (56.287)	Prec@5 84.000 (84.647)
Epoch: [88][8790/9018]	Time 0.592 (0.608)	Data 0.001 (0.001)	Loss 1.5956 (1.6237)	Prec@1 55.500 (56.287)	Prec@5 84.500 (84.648)
Epoch: [88][8800/9018]	Time 0.602 (0.608)	Data 0.001 (0.001)	Loss 1.5952 (1.6238)	Prec@1 59.000 (56.287)	Prec@5 82.500 (84.647)
Epoch: [88][8810/9018]	Time 0.596 (0.608)	Data 0.001 (0.001)	Loss 1.7936 (1.6238)	Prec@1 54.500 (56.287)	Prec@5 85.000 (84.646)
Epoch: [88][8820/9018]	Time 0.596 (0.608)	Data 0.001 (0.001)	Loss 1.7665 (1.6239)	Prec@1 57.500 (56.285)	Prec@5 82.500 (84.645)
Epoch: [88][8830/9018]	Time 0.595 (0.608)	Data 0.001 (0.001)	Loss 1.9154 (1.6239)	Prec@1 51.000 (56.284)	Prec@5 81.000 (84.644)
Epoch: [88][8840/9018]	Time 0.595 (0.608)	Data 0.001 (0.001)	Loss 1.6098 (1.6239)	Prec@1 56.000 (56.285)	Prec@5 86.000 (84.644)
Epoch: [88][8850/9018]	Time 0.594 (0.608)	Data 0.001 (0.001)	Loss 1.5840 (1.6239)	Prec@1 55.000 (56.284)	Prec@5 85.500 (84.644)
Epoch: [88][8860/9018]	Time 0.596 (0.608)	Data 0.001 (0.001)	Loss 1.7711 (1.6239)	Prec@1 55.500 (56.285)	Prec@5 82.000 (84.643)
Epoch: [88][8870/9018]	Time 0.592 (0.608)	Data 0.001 (0.001)	Loss 1.6402 (1.6239)	Prec@1 55.000 (56.285)	Prec@5 86.500 (84.644)
Epoch: [88][8880/9018]	Time 0.595 (0.608)	Data 0.001 (0.001)	Loss 1.4747 (1.6239)	Prec@1 57.000 (56.284)	Prec@5 87.500 (84.642)
Epoch: [88][8890/9018]	Time 0.589 (0.608)	Data 0.001 (0.001)	Loss 1.6181 (1.6239)	Prec@1 51.500 (56.284)	Prec@5 85.500 (84.642)
Epoch: [88][8900/9018]	Time 0.603 (0.608)	Data 0.001 (0.001)	Loss 1.6483 (1.6240)	Prec@1 54.000 (56.283)	Prec@5 85.000 (84.642)
Epoch: [88][8910/9018]	Time 0.596 (0.608)	Data 0.001 (0.001)	Loss 1.6348 (1.6240)	Prec@1 56.000 (56.284)	Prec@5 84.500 (84.643)
Epoch: [88][8920/9018]	Time 0.597 (0.608)	Data 0.001 (0.001)	Loss 1.6396 (1.6240)	Prec@1 55.000 (56.283)	Prec@5 84.500 (84.641)
Epoch: [88][8930/9018]	Time 0.595 (0.608)	Data 0.001 (0.001)	Loss 1.6832 (1.6239)	Prec@1 52.500 (56.284)	Prec@5 83.500 (84.643)
Epoch: [88][8940/9018]	Time 0.608 (0.608)	Data 0.001 (0.001)	Loss 1.5547 (1.6239)	Prec@1 57.500 (56.284)	Prec@5 82.500 (84.643)
Epoch: [88][8950/9018]	Time 0.593 (0.608)	Data 0.001 (0.001)	Loss 1.6867 (1.6239)	Prec@1 57.000 (56.284)	Prec@5 83.500 (84.643)
Epoch: [88][8960/9018]	Time 0.593 (0.608)	Data 0.001 (0.001)	Loss 1.6009 (1.6240)	Prec@1 54.000 (56.280)	Prec@5 79.500 (84.641)
Epoch: [88][8970/9018]	Time 0.597 (0.608)	Data 0.001 (0.001)	Loss 1.8064 (1.6240)	Prec@1 49.000 (56.281)	Prec@5 81.000 (84.642)
Epoch: [88][8980/9018]	Time 0.734 (0.608)	Data 0.001 (0.001)	Loss 1.4781 (1.6240)	Prec@1 57.000 (56.281)	Prec@5 86.500 (84.642)
Epoch: [88][8990/9018]	Time 0.593 (0.608)	Data 0.001 (0.001)	Loss 1.6632 (1.6241)	Prec@1 52.500 (56.280)	Prec@5 82.500 (84.641)
Epoch: [88][9000/9018]	Time 0.602 (0.608)	Data 0.001 (0.001)	Loss 1.7076 (1.6241)	Prec@1 50.000 (56.279)	Prec@5 86.000 (84.641)
Epoch: [88][9010/9018]	Time 0.590 (0.608)	Data 0.000 (0.001)	Loss 1.8365 (1.6241)	Prec@1 55.500 (56.277)	Prec@5 80.000 (84.640)
Test: [0/183]	Time 1.312 (1.312)	Loss 2.4167 (2.4167)	Prec@1 40.500 (40.500)	Prec@5 72.000 (72.000)
Test: [10/183]	Time 0.185 (0.300)	Loss 1.6366 (1.6712)	Prec@1 62.000 (56.500)	Prec@5 86.000 (85.500)
Test: [20/183]	Time 0.185 (0.256)	Loss 2.0114 (1.6304)	Prec@1 46.000 (56.976)	Prec@5 81.500 (85.500)
Test: [30/183]	Time 0.208 (0.238)	Loss 2.3093 (1.6500)	Prec@1 34.500 (55.758)	Prec@5 76.500 (85.645)
Test: [40/183]	Time 0.186 (0.227)	Loss 2.1506 (1.6433)	Prec@1 40.500 (56.341)	Prec@5 83.500 (85.305)
Test: [50/183]	Time 0.200 (0.221)	Loss 1.5678 (1.6150)	Prec@1 56.500 (56.892)	Prec@5 86.000 (85.539)
Test: [60/183]	Time 0.182 (0.216)	Loss 2.1627 (1.6926)	Prec@1 46.500 (54.869)	Prec@5 77.500 (84.631)
Test: [70/183]	Time 0.189 (0.213)	Loss 1.5854 (1.6686)	Prec@1 58.500 (55.239)	Prec@5 88.000 (85.169)
Test: [80/183]	Time 0.200 (0.211)	Loss 1.5225 (1.6568)	Prec@1 55.000 (55.315)	Prec@5 91.000 (85.272)
Test: [90/183]	Time 0.180 (0.209)	Loss 2.1932 (1.6608)	Prec@1 45.000 (55.324)	Prec@5 75.000 (85.275)
Test: [100/183]	Time 0.207 (0.207)	Loss 0.8698 (1.6645)	Prec@1 78.000 (55.243)	Prec@5 95.000 (85.243)
Test: [110/183]	Time 0.186 (0.206)	Loss 0.6067 (1.6674)	Prec@1 83.000 (55.212)	Prec@5 97.000 (85.176)
Test: [120/183]	Time 0.187 (0.205)	Loss 2.0764 (1.6750)	Prec@1 46.500 (54.950)	Prec@5 74.500 (85.165)
Test: [130/183]	Time 0.189 (0.204)	Loss 3.0303 (1.6856)	Prec@1 17.500 (54.599)	Prec@5 75.500 (85.206)
Test: [140/183]	Time 0.193 (0.203)	Loss 1.4164 (1.6760)	Prec@1 64.500 (54.872)	Prec@5 87.500 (85.326)
Test: [150/183]	Time 0.183 (0.203)	Loss 0.6387 (1.6749)	Prec@1 83.500 (55.040)	Prec@5 97.500 (85.325)
Test: [160/183]	Time 0.205 (0.202)	Loss 1.7335 (1.6720)	Prec@1 51.000 (55.248)	Prec@5 85.000 (85.335)
Test: [170/183]	Time 0.192 (0.202)	Loss 2.0231 (1.6847)	Prec@1 37.500 (54.883)	Prec@5 84.500 (85.173)
Test: [180/183]	Time 0.180 (0.202)	Loss 2.1299 (1.6965)	Prec@1 44.500 (54.710)	Prec@5 80.500 (84.967)
 * Prec@1 54.677 Prec@5 84.945
Epoch: [89][0/9018]	Time 2.797 (2.797)	Data 2.179 (2.179)	Loss 1.6042 (1.6042)	Prec@1 53.000 (53.000)	Prec@5 87.000 (87.000)
Epoch: [89][10/9018]	Time 0.590 (0.795)	Data 0.001 (0.199)	Loss 1.6854 (1.6102)	Prec@1 60.000 (56.500)	Prec@5 84.000 (85.182)
Epoch: [89][20/9018]	Time 0.593 (0.709)	Data 0.001 (0.105)	Loss 1.6411 (1.6037)	Prec@1 55.000 (56.262)	Prec@5 84.500 (85.262)
Epoch: [89][30/9018]	Time 0.590 (0.676)	Data 0.001 (0.071)	Loss 1.7138 (1.5972)	Prec@1 54.000 (56.242)	Prec@5 82.500 (85.032)
Epoch: [89][40/9018]	Time 0.593 (0.656)	Data 0.001 (0.054)	Loss 1.4792 (1.5888)	Prec@1 58.000 (56.463)	Prec@5 88.000 (85.146)
Epoch: [89][50/9018]	Time 0.595 (0.646)	Data 0.001 (0.043)	Loss 1.5432 (1.5896)	Prec@1 58.500 (56.725)	Prec@5 85.000 (85.118)
Epoch: [89][60/9018]	Time 0.724 (0.640)	Data 0.001 (0.037)	Loss 1.5370 (1.5820)	Prec@1 54.500 (56.787)	Prec@5 88.500 (85.246)
Epoch: [89][70/9018]	Time 0.596 (0.634)	Data 0.001 (0.031)	Loss 1.6218 (1.5844)	Prec@1 54.000 (56.690)	Prec@5 84.000 (85.282)
Epoch: [89][80/9018]	Time 0.596 (0.631)	Data 0.001 (0.028)	Loss 1.6685 (1.5844)	Prec@1 52.000 (56.889)	Prec@5 83.000 (85.123)
Epoch: [89][90/9018]	Time 0.593 (0.628)	Data 0.001 (0.025)	Loss 1.4829 (1.5791)	Prec@1 58.500 (57.121)	Prec@5 90.000 (85.258)
Epoch: [89][100/9018]	Time 0.601 (0.626)	Data 0.001 (0.022)	Loss 1.5828 (1.5828)	Prec@1 55.500 (57.040)	Prec@5 86.500 (85.218)
Epoch: [89][110/9018]	Time 0.719 (0.625)	Data 0.001 (0.020)	Loss 1.7976 (1.5871)	Prec@1 52.000 (56.928)	Prec@5 82.000 (85.176)
Epoch: [89][120/9018]	Time 0.596 (0.622)	Data 0.001 (0.019)	Loss 1.5272 (1.5836)	Prec@1 60.000 (56.967)	Prec@5 86.000 (85.178)
Epoch: [89][130/9018]	Time 0.604 (0.621)	Data 0.001 (0.017)	Loss 1.9357 (1.5848)	Prec@1 44.500 (56.897)	Prec@5 79.500 (85.168)
Epoch: [89][140/9018]	Time 0.606 (0.620)	Data 0.001 (0.016)	Loss 1.5946 (1.5860)	Prec@1 58.000 (56.922)	Prec@5 85.000 (85.142)
Epoch: [89][150/9018]	Time 0.594 (0.619)	Data 0.001 (0.015)	Loss 1.3237 (1.5866)	Prec@1 65.000 (56.993)	Prec@5 89.000 (85.142)
Epoch: [89][160/9018]	Time 0.595 (0.619)	Data 0.001 (0.014)	Loss 1.7550 (1.5875)	Prec@1 57.000 (57.087)	Prec@5 84.000 (85.112)
Epoch: [89][170/9018]	Time 0.595 (0.617)	Data 0.001 (0.014)	Loss 1.5925 (1.5850)	Prec@1 54.000 (57.105)	Prec@5 84.000 (85.181)
Epoch: [89][180/9018]	Time 0.602 (0.617)	Data 0.001 (0.013)	Loss 1.6974 (1.5857)	Prec@1 55.000 (57.199)	Prec@5 80.000 (85.177)
Epoch: [89][190/9018]	Time 0.599 (0.616)	Data 0.001 (0.012)	Loss 1.6659 (1.5848)	Prec@1 58.000 (57.259)	Prec@5 82.500 (85.196)
Epoch: [89][200/9018]	Time 0.598 (0.616)	Data 0.001 (0.012)	Loss 1.6981 (1.5857)	Prec@1 56.500 (57.296)	Prec@5 85.000 (85.177)
Epoch: [89][210/9018]	Time 0.601 (0.616)	Data 0.001 (0.011)	Loss 1.4209 (1.5843)	Prec@1 57.000 (57.308)	Prec@5 90.000 (85.220)
Epoch: [89][220/9018]	Time 0.591 (0.615)	Data 0.001 (0.011)	Loss 1.5293 (1.5860)	Prec@1 57.000 (57.271)	Prec@5 88.000 (85.206)
Epoch: [89][230/9018]	Time 0.598 (0.615)	Data 0.001 (0.010)	Loss 1.5555 (1.5865)	Prec@1 55.500 (57.266)	Prec@5 87.500 (85.201)
Epoch: [89][240/9018]	Time 0.595 (0.614)	Data 0.001 (0.010)	Loss 1.5916 (1.5848)	Prec@1 56.500 (57.295)	Prec@5 84.000 (85.216)
Epoch: [89][250/9018]	Time 0.602 (0.614)	Data 0.001 (0.010)	Loss 1.6488 (1.5865)	Prec@1 55.500 (57.215)	Prec@5 82.500 (85.201)
Epoch: [89][260/9018]	Time 0.617 (0.614)	Data 0.001 (0.009)	Loss 1.4305 (1.5873)	Prec@1 60.500 (57.134)	Prec@5 89.000 (85.207)
Epoch: [89][270/9018]	Time 0.596 (0.613)	Data 0.001 (0.009)	Loss 1.4630 (1.5850)	Prec@1 57.500 (57.166)	Prec@5 87.000 (85.245)
Epoch: [89][280/9018]	Time 0.609 (0.613)	Data 0.001 (0.009)	Loss 1.4380 (1.5847)	Prec@1 58.500 (57.185)	Prec@5 89.000 (85.242)
Epoch: [89][290/9018]	Time 0.594 (0.613)	Data 0.001 (0.008)	Loss 1.5630 (1.5849)	Prec@1 59.000 (57.222)	Prec@5 82.500 (85.211)
Epoch: [89][300/9018]	Time 0.592 (0.613)	Data 0.001 (0.008)	Loss 1.5444 (1.5824)	Prec@1 58.500 (57.274)	Prec@5 86.000 (85.244)
Epoch: [89][310/9018]	Time 0.592 (0.613)	Data 0.001 (0.008)	Loss 1.8651 (1.5851)	Prec@1 51.500 (57.206)	Prec@5 78.500 (85.185)
Epoch: [89][320/9018]	Time 0.596 (0.612)	Data 0.001 (0.008)	Loss 1.3696 (1.5848)	Prec@1 61.000 (57.229)	Prec@5 88.500 (85.168)
Epoch: [89][330/9018]	Time 0.602 (0.612)	Data 0.001 (0.007)	Loss 1.4205 (1.5856)	Prec@1 61.500 (57.211)	Prec@5 88.000 (85.174)
Epoch: [89][340/9018]	Time 0.598 (0.612)	Data 0.001 (0.007)	Loss 1.7819 (1.5856)	Prec@1 49.500 (57.221)	Prec@5 82.000 (85.170)
Epoch: [89][350/9018]	Time 0.599 (0.612)	Data 0.001 (0.007)	Loss 1.7367 (1.5864)	Prec@1 54.500 (57.235)	Prec@5 80.000 (85.160)
Epoch: [89][360/9018]	Time 0.602 (0.611)	Data 0.001 (0.007)	Loss 1.5278 (1.5861)	Prec@1 60.000 (57.220)	Prec@5 85.000 (85.187)
Epoch: [89][370/9018]	Time 0.593 (0.611)	Data 0.001 (0.007)	Loss 1.7084 (1.5882)	Prec@1 56.000 (57.181)	Prec@5 85.000 (85.170)
Epoch: [89][380/9018]	Time 0.599 (0.611)	Data 0.001 (0.007)	Loss 1.7013 (1.5886)	Prec@1 56.500 (57.150)	Prec@5 83.500 (85.177)
Epoch: [89][390/9018]	Time 0.725 (0.611)	Data 0.001 (0.006)	Loss 1.3444 (1.5880)	Prec@1 61.500 (57.160)	Prec@5 90.500 (85.207)
Epoch: [89][400/9018]	Time 0.609 (0.611)	Data 0.001 (0.006)	Loss 1.6402 (1.5872)	Prec@1 58.000 (57.187)	Prec@5 85.000 (85.208)
Epoch: [89][410/9018]	Time 0.593 (0.611)	Data 0.001 (0.006)	Loss 1.5216 (1.5887)	Prec@1 54.500 (57.137)	Prec@5 86.500 (85.163)
Epoch: [89][420/9018]	Time 0.601 (0.611)	Data 0.001 (0.006)	Loss 1.5107 (1.5886)	Prec@1 59.500 (57.127)	Prec@5 82.500 (85.152)
Epoch: [89][430/9018]	Time 0.601 (0.611)	Data 0.001 (0.006)	Loss 1.6945 (1.5902)	Prec@1 56.000 (57.092)	Prec@5 83.500 (85.133)
Epoch: [89][440/9018]	Time 0.703 (0.610)	Data 0.001 (0.006)	Loss 1.4984 (1.5900)	Prec@1 59.000 (57.098)	Prec@5 86.000 (85.146)
Epoch: [89][450/9018]	Time 0.602 (0.610)	Data 0.001 (0.006)	Loss 1.7298 (1.5919)	Prec@1 51.000 (57.044)	Prec@5 83.500 (85.131)
Epoch: [89][460/9018]	Time 0.590 (0.610)	Data 0.001 (0.006)	Loss 1.7568 (1.5935)	Prec@1 57.000 (57.029)	Prec@5 80.500 (85.095)
Epoch: [89][470/9018]	Time 0.604 (0.610)	Data 0.001 (0.005)	Loss 1.6476 (1.5925)	Prec@1 55.500 (57.047)	Prec@5 85.500 (85.120)
Epoch: [89][480/9018]	Time 0.601 (0.610)	Data 0.001 (0.005)	Loss 1.6877 (1.5931)	Prec@1 54.500 (57.046)	Prec@5 85.000 (85.110)
Epoch: [89][490/9018]	Time 0.599 (0.610)	Data 0.001 (0.005)	Loss 1.7081 (1.5947)	Prec@1 53.500 (56.995)	Prec@5 85.000 (85.081)
Epoch: [89][500/9018]	Time 0.595 (0.610)	Data 0.001 (0.005)	Loss 1.6655 (1.5959)	Prec@1 52.500 (56.944)	Prec@5 82.000 (85.063)
Epoch: [89][510/9018]	Time 0.598 (0.610)	Data 0.001 (0.005)	Loss 1.5803 (1.5957)	Prec@1 53.500 (56.938)	Prec@5 83.000 (85.060)
Epoch: [89][520/9018]	Time 0.603 (0.609)	Data 0.001 (0.005)	Loss 1.5488 (1.5967)	Prec@1 58.500 (56.917)	Prec@5 85.000 (85.036)
Epoch: [89][530/9018]	Time 0.595 (0.609)	Data 0.001 (0.005)	Loss 1.8781 (1.5966)	Prec@1 51.500 (56.907)	Prec@5 79.000 (85.043)
Epoch: [89][540/9018]	Time 0.606 (0.609)	Data 0.001 (0.005)	Loss 1.8679 (1.5959)	Prec@1 50.000 (56.896)	Prec@5 80.000 (85.065)
Epoch: [89][550/9018]	Time 0.592 (0.609)	Data 0.001 (0.005)	Loss 1.8338 (1.5977)	Prec@1 53.000 (56.868)	Prec@5 82.000 (85.034)
Epoch: [89][560/9018]	Time 0.599 (0.609)	Data 0.001 (0.005)	Loss 1.6582 (1.5988)	Prec@1 55.500 (56.835)	Prec@5 84.000 (85.020)
Epoch: [89][570/9018]	Time 0.601 (0.609)	Data 0.001 (0.005)	Loss 1.4664 (1.5994)	Prec@1 63.500 (56.833)	Prec@5 88.500 (85.010)
Epoch: [89][580/9018]	Time 0.602 (0.609)	Data 0.001 (0.005)	Loss 1.6522 (1.6000)	Prec@1 58.000 (56.798)	Prec@5 84.000 (85.006)
Epoch: [89][590/9018]	Time 0.596 (0.609)	Data 0.001 (0.004)	Loss 1.9745 (1.6001)	Prec@1 50.000 (56.827)	Prec@5 79.000 (85.004)
Epoch: [89][600/9018]	Time 0.600 (0.609)	Data 0.001 (0.004)	Loss 1.4802 (1.5987)	Prec@1 56.500 (56.854)	Prec@5 85.500 (85.017)
Epoch: [89][610/9018]	Time 0.595 (0.609)	Data 0.001 (0.004)	Loss 1.5986 (1.5985)	Prec@1 56.500 (56.860)	Prec@5 83.500 (85.000)
Epoch: [89][620/9018]	Time 0.597 (0.609)	Data 0.001 (0.004)	Loss 1.6166 (1.5990)	Prec@1 58.500 (56.836)	Prec@5 86.500 (85.003)
Epoch: [89][630/9018]	Time 0.596 (0.609)	Data 0.001 (0.004)	Loss 1.6637 (1.5992)	Prec@1 59.500 (56.842)	Prec@5 84.500 (85.007)
Epoch: [89][640/9018]	Time 0.604 (0.609)	Data 0.001 (0.004)	Loss 1.6512 (1.5991)	Prec@1 54.500 (56.832)	Prec@5 84.000 (85.015)
Epoch: [89][650/9018]	Time 0.595 (0.609)	Data 0.001 (0.004)	Loss 1.6986 (1.5994)	Prec@1 50.000 (56.796)	Prec@5 85.500 (85.002)
Epoch: [89][660/9018]	Time 0.598 (0.609)	Data 0.001 (0.004)	Loss 1.5181 (1.5995)	Prec@1 62.000 (56.807)	Prec@5 85.500 (84.993)
Epoch: [89][670/9018]	Time 0.600 (0.609)	Data 0.001 (0.004)	Loss 1.4499 (1.5980)	Prec@1 58.000 (56.827)	Prec@5 89.000 (85.019)
Epoch: [89][680/9018]	Time 0.602 (0.609)	Data 0.001 (0.004)	Loss 1.5774 (1.5970)	Prec@1 56.500 (56.830)	Prec@5 85.500 (85.046)
Epoch: [89][690/9018]	Time 0.596 (0.609)	Data 0.001 (0.004)	Loss 1.3460 (1.5971)	Prec@1 58.000 (56.808)	Prec@5 91.500 (85.049)
Epoch: [89][700/9018]	Time 0.598 (0.609)	Data 0.001 (0.004)	Loss 1.6480 (1.5979)	Prec@1 56.500 (56.815)	Prec@5 82.500 (85.021)
Epoch: [89][710/9018]	Time 0.587 (0.609)	Data 0.001 (0.004)	Loss 1.5913 (1.5982)	Prec@1 56.500 (56.814)	Prec@5 84.000 (85.020)
Epoch: [89][720/9018]	Time 0.701 (0.609)	Data 0.001 (0.004)	Loss 1.5246 (1.5984)	Prec@1 60.500 (56.819)	Prec@5 83.000 (85.003)
Epoch: [89][730/9018]	Time 0.597 (0.609)	Data 0.001 (0.004)	Loss 1.6149 (1.5996)	Prec@1 53.000 (56.772)	Prec@5 85.500 (84.990)
Epoch: [89][740/9018]	Time 0.596 (0.609)	Data 0.001 (0.004)	Loss 1.6743 (1.6004)	Prec@1 58.000 (56.762)	Prec@5 85.000 (84.978)
Epoch: [89][750/9018]	Time 0.595 (0.608)	Data 0.001 (0.004)	Loss 1.4561 (1.5996)	Prec@1 65.000 (56.783)	Prec@5 87.500 (84.996)
Epoch: [89][760/9018]	Time 0.604 (0.608)	Data 0.001 (0.004)	Loss 1.4788 (1.6000)	Prec@1 58.000 (56.769)	Prec@5 87.500 (84.989)
Epoch: [89][770/9018]	Time 0.744 (0.609)	Data 0.001 (0.004)	Loss 1.7416 (1.6001)	Prec@1 59.000 (56.769)	Prec@5 82.500 (84.982)
Epoch: [89][780/9018]	Time 0.596 (0.608)	Data 0.001 (0.004)	Loss 1.6351 (1.5999)	Prec@1 59.000 (56.778)	Prec@5 86.000 (84.978)
Epoch: [89][790/9018]	Time 0.600 (0.608)	Data 0.001 (0.004)	Loss 1.6064 (1.6005)	Prec@1 56.000 (56.751)	Prec@5 85.000 (84.971)
Epoch: [89][800/9018]	Time 0.602 (0.608)	Data 0.001 (0.004)	Loss 1.5362 (1.6004)	Prec@1 60.000 (56.745)	Prec@5 86.000 (84.983)
Epoch: [89][810/9018]	Time 0.605 (0.608)	Data 0.001 (0.003)	Loss 1.6689 (1.6013)	Prec@1 56.000 (56.721)	Prec@5 84.000 (84.971)
Epoch: [89][820/9018]	Time 0.599 (0.608)	Data 0.001 (0.003)	Loss 1.6090 (1.6006)	Prec@1 56.500 (56.722)	Prec@5 86.000 (84.984)
Epoch: [89][830/9018]	Time 0.599 (0.608)	Data 0.001 (0.003)	Loss 1.6259 (1.6013)	Prec@1 54.000 (56.714)	Prec@5 83.500 (84.965)
Epoch: [89][840/9018]	Time 0.608 (0.608)	Data 0.001 (0.003)	Loss 1.7388 (1.6016)	Prec@1 56.000 (56.712)	Prec@5 82.000 (84.967)
Epoch: [89][850/9018]	Time 0.601 (0.608)	Data 0.001 (0.003)	Loss 1.5982 (1.6016)	Prec@1 55.500 (56.721)	Prec@5 85.000 (84.975)
Epoch: [89][860/9018]	Time 0.605 (0.608)	Data 0.001 (0.003)	Loss 1.5022 (1.6023)	Prec@1 57.000 (56.692)	Prec@5 88.500 (84.973)
Epoch: [89][870/9018]	Time 0.599 (0.608)	Data 0.001 (0.003)	Loss 1.5399 (1.6028)	Prec@1 61.500 (56.684)	Prec@5 87.000 (84.971)
Epoch: [89][880/9018]	Time 0.592 (0.608)	Data 0.001 (0.003)	Loss 1.8751 (1.6031)	Prec@1 52.500 (56.678)	Prec@5 78.500 (84.959)
Epoch: [89][890/9018]	Time 0.597 (0.608)	Data 0.001 (0.003)	Loss 1.4260 (1.6038)	Prec@1 60.000 (56.659)	Prec@5 88.000 (84.943)
Epoch: [89][900/9018]	Time 0.594 (0.608)	Data 0.001 (0.003)	Loss 1.5763 (1.6039)	Prec@1 54.000 (56.648)	Prec@5 89.000 (84.941)
Epoch: [89][910/9018]	Time 0.594 (0.608)	Data 0.001 (0.003)	Loss 1.6221 (1.6039)	Prec@1 55.000 (56.655)	Prec@5 86.000 (84.939)
Epoch: [89][920/9018]	Time 0.594 (0.608)	Data 0.001 (0.003)	Loss 1.4893 (1.6040)	Prec@1 60.500 (56.660)	Prec@5 87.500 (84.939)
Epoch: [89][930/9018]	Time 0.602 (0.608)	Data 0.001 (0.003)	Loss 1.5114 (1.6039)	Prec@1 58.500 (56.665)	Prec@5 86.000 (84.941)
Epoch: [89][940/9018]	Time 0.603 (0.608)	Data 0.001 (0.003)	Loss 1.5951 (1.6039)	Prec@1 56.000 (56.673)	Prec@5 85.500 (84.942)
Epoch: [89][950/9018]	Time 0.594 (0.608)	Data 0.001 (0.003)	Loss 1.5140 (1.6039)	Prec@1 62.000 (56.673)	Prec@5 84.000 (84.940)
Epoch: [89][960/9018]	Time 0.590 (0.608)	Data 0.001 (0.003)	Loss 1.6146 (1.6039)	Prec@1 52.000 (56.666)	Prec@5 85.500 (84.935)
Epoch: [89][970/9018]	Time 0.592 (0.608)	Data 0.001 (0.003)	Loss 1.3949 (1.6039)	Prec@1 60.500 (56.656)	Prec@5 86.000 (84.931)
Epoch: [89][980/9018]	Time 0.596 (0.608)	Data 0.001 (0.003)	Loss 1.6308 (1.6039)	Prec@1 53.500 (56.653)	Prec@5 84.500 (84.930)
Epoch: [89][990/9018]	Time 0.594 (0.608)	Data 0.001 (0.003)	Loss 1.7619 (1.6049)	Prec@1 54.000 (56.644)	Prec@5 83.000 (84.919)
Epoch: [89][1000/9018]	Time 0.593 (0.608)	Data 0.001 (0.003)	Loss 1.6290 (1.6048)	Prec@1 55.000 (56.640)	Prec@5 85.500 (84.920)
Epoch: [89][1010/9018]	Time 0.601 (0.608)	Data 0.001 (0.003)	Loss 1.6574 (1.6050)	Prec@1 51.500 (56.632)	Prec@5 83.500 (84.919)
Epoch: [89][1020/9018]	Time 0.599 (0.608)	Data 0.001 (0.003)	Loss 1.5336 (1.6045)	Prec@1 58.500 (56.647)	Prec@5 85.000 (84.928)
Epoch: [89][1030/9018]	Time 0.593 (0.608)	Data 0.001 (0.003)	Loss 1.5780 (1.6041)	Prec@1 56.500 (56.655)	Prec@5 84.000 (84.933)
Epoch: [89][1040/9018]	Time 0.600 (0.608)	Data 0.001 (0.003)	Loss 1.4829 (1.6041)	Prec@1 52.500 (56.638)	Prec@5 87.000 (84.940)
Epoch: [89][1050/9018]	Time 0.717 (0.608)	Data 0.001 (0.003)	Loss 1.5335 (1.6041)	Prec@1 58.000 (56.640)	Prec@5 85.500 (84.938)
Epoch: [89][1060/9018]	Time 0.600 (0.608)	Data 0.001 (0.003)	Loss 1.4212 (1.6038)	Prec@1 61.000 (56.650)	Prec@5 89.000 (84.945)
Epoch: [89][1070/9018]	Time 0.595 (0.608)	Data 0.001 (0.003)	Loss 1.6484 (1.6040)	Prec@1 56.500 (56.649)	Prec@5 84.500 (84.951)
Epoch: [89][1080/9018]	Time 0.603 (0.608)	Data 0.001 (0.003)	Loss 1.8523 (1.6038)	Prec@1 53.500 (56.658)	Prec@5 82.000 (84.955)
Epoch: [89][1090/9018]	Time 0.599 (0.608)	Data 0.001 (0.003)	Loss 1.4935 (1.6040)	Prec@1 59.000 (56.648)	Prec@5 89.000 (84.949)
Epoch: [89][1100/9018]	Time 0.717 (0.608)	Data 0.001 (0.003)	Loss 1.6745 (1.6040)	Prec@1 57.000 (56.652)	Prec@5 83.500 (84.955)
Epoch: [89][1110/9018]	Time 0.599 (0.608)	Data 0.001 (0.003)	Loss 1.6347 (1.6039)	Prec@1 55.500 (56.667)	Prec@5 84.500 (84.947)
Epoch: [89][1120/9018]	Time 0.614 (0.608)	Data 0.001 (0.003)	Loss 1.5061 (1.6039)	Prec@1 53.500 (56.661)	Prec@5 87.000 (84.946)
Epoch: [89][1130/9018]	Time 0.597 (0.607)	Data 0.001 (0.003)	Loss 1.5877 (1.6037)	Prec@1 59.000 (56.674)	Prec@5 82.500 (84.942)
Epoch: [89][1140/9018]	Time 0.594 (0.607)	Data 0.001 (0.003)	Loss 1.4081 (1.6033)	Prec@1 58.500 (56.679)	Prec@5 89.000 (84.947)
Epoch: [89][1150/9018]	Time 0.601 (0.608)	Data 0.001 (0.003)	Loss 1.6618 (1.6036)	Prec@1 46.000 (56.661)	Prec@5 85.500 (84.952)
Epoch: [89][1160/9018]	Time 0.610 (0.607)	Data 0.001 (0.003)	Loss 1.3073 (1.6030)	Prec@1 66.000 (56.675)	Prec@5 89.000 (84.963)
Epoch: [89][1170/9018]	Time 0.595 (0.607)	Data 0.001 (0.003)	Loss 1.6615 (1.6031)	Prec@1 56.000 (56.674)	Prec@5 86.000 (84.967)
Epoch: [89][1180/9018]	Time 0.598 (0.607)	Data 0.001 (0.003)	Loss 1.5388 (1.6030)	Prec@1 56.500 (56.675)	Prec@5 87.000 (84.969)
Epoch: [89][1190/9018]	Time 0.594 (0.607)	Data 0.001 (0.003)	Loss 1.8293 (1.6029)	Prec@1 50.000 (56.680)	Prec@5 79.500 (84.967)
Epoch: [89][1200/9018]	Time 0.596 (0.607)	Data 0.001 (0.003)	Loss 1.6906 (1.6030)	Prec@1 56.000 (56.671)	Prec@5 82.000 (84.967)
Epoch: [89][1210/9018]	Time 0.593 (0.607)	Data 0.001 (0.003)	Loss 1.7507 (1.6024)	Prec@1 52.500 (56.683)	Prec@5 82.500 (84.973)
Epoch: [89][1220/9018]	Time 0.606 (0.607)	Data 0.001 (0.003)	Loss 1.6302 (1.6027)	Prec@1 54.000 (56.679)	Prec@5 83.500 (84.966)
Epoch: [89][1230/9018]	Time 0.601 (0.607)	Data 0.001 (0.003)	Loss 1.5326 (1.6022)	Prec@1 58.500 (56.684)	Prec@5 83.500 (84.975)
Epoch: [89][1240/9018]	Time 0.629 (0.608)	Data 0.002 (0.003)	Loss 1.5793 (1.6025)	Prec@1 57.000 (56.688)	Prec@5 86.000 (84.972)
Epoch: [89][1250/9018]	Time 0.596 (0.608)	Data 0.001 (0.003)	Loss 1.5611 (1.6025)	Prec@1 57.500 (56.687)	Prec@5 86.000 (84.971)
Epoch: [89][1260/9018]	Time 0.602 (0.607)	Data 0.001 (0.003)	Loss 1.6356 (1.6027)	Prec@1 58.500 (56.682)	Prec@5 85.000 (84.961)
Epoch: [89][1270/9018]	Time 0.594 (0.607)	Data 0.001 (0.003)	Loss 1.5400 (1.6028)	Prec@1 58.500 (56.677)	Prec@5 86.500 (84.965)
Epoch: [89][1280/9018]	Time 0.597 (0.607)	Data 0.001 (0.003)	Loss 1.4934 (1.6029)	Prec@1 58.000 (56.683)	Prec@5 88.000 (84.959)
Epoch: [89][1290/9018]	Time 0.606 (0.607)	Data 0.001 (0.002)	Loss 1.6011 (1.6028)	Prec@1 57.000 (56.692)	Prec@5 87.000 (84.964)
Epoch: [89][1300/9018]	Time 0.596 (0.607)	Data 0.001 (0.002)	Loss 1.5970 (1.6026)	Prec@1 60.500 (56.696)	Prec@5 85.500 (84.972)
Epoch: [89][1310/9018]	Time 0.602 (0.607)	Data 0.001 (0.002)	Loss 1.5257 (1.6027)	Prec@1 57.500 (56.689)	Prec@5 87.000 (84.965)
Epoch: [89][1320/9018]	Time 0.601 (0.607)	Data 0.001 (0.002)	Loss 1.5703 (1.6024)	Prec@1 57.500 (56.690)	Prec@5 86.500 (84.966)
Epoch: [89][1330/9018]	Time 0.598 (0.607)	Data 0.001 (0.002)	Loss 1.7390 (1.6032)	Prec@1 53.500 (56.681)	Prec@5 83.000 (84.955)
Epoch: [89][1340/9018]	Time 0.594 (0.607)	Data 0.001 (0.002)	Loss 1.3134 (1.6027)	Prec@1 63.000 (56.707)	Prec@5 90.000 (84.960)
Epoch: [89][1350/9018]	Time 0.613 (0.607)	Data 0.001 (0.002)	Loss 1.5778 (1.6027)	Prec@1 55.000 (56.705)	Prec@5 85.500 (84.963)
Epoch: [89][1360/9018]	Time 0.601 (0.607)	Data 0.001 (0.002)	Loss 1.6560 (1.6031)	Prec@1 58.000 (56.698)	Prec@5 84.500 (84.958)
Epoch: [89][1370/9018]	Time 0.592 (0.607)	Data 0.001 (0.002)	Loss 1.7812 (1.6037)	Prec@1 52.000 (56.692)	Prec@5 83.000 (84.943)
Epoch: [89][1380/9018]	Time 0.688 (0.607)	Data 0.001 (0.002)	Loss 1.6106 (1.6040)	Prec@1 54.500 (56.681)	Prec@5 86.000 (84.939)
Epoch: [89][1390/9018]	Time 0.593 (0.607)	Data 0.001 (0.002)	Loss 1.7804 (1.6034)	Prec@1 55.000 (56.703)	Prec@5 80.000 (84.949)
Epoch: [89][1400/9018]	Time 0.593 (0.607)	Data 0.001 (0.002)	Loss 1.6279 (1.6034)	Prec@1 56.500 (56.697)	Prec@5 85.500 (84.955)
Epoch: [89][1410/9018]	Time 0.603 (0.607)	Data 0.001 (0.002)	Loss 1.7015 (1.6035)	Prec@1 50.000 (56.692)	Prec@5 86.000 (84.960)
Epoch: [89][1420/9018]	Time 0.601 (0.607)	Data 0.001 (0.002)	Loss 1.4505 (1.6036)	Prec@1 59.000 (56.688)	Prec@5 87.500 (84.956)
Epoch: [89][1430/9018]	Time 0.691 (0.607)	Data 0.001 (0.002)	Loss 1.5593 (1.6038)	Prec@1 60.000 (56.688)	Prec@5 87.000 (84.963)
Epoch: [89][1440/9018]	Time 0.599 (0.607)	Data 0.001 (0.002)	Loss 1.4492 (1.6038)	Prec@1 60.000 (56.687)	Prec@5 86.000 (84.960)
Epoch: [89][1450/9018]	Time 0.610 (0.607)	Data 0.001 (0.002)	Loss 1.5455 (1.6041)	Prec@1 60.000 (56.680)	Prec@5 84.000 (84.956)
Epoch: [89][1460/9018]	Time 0.599 (0.607)	Data 0.001 (0.002)	Loss 1.4221 (1.6039)	Prec@1 62.000 (56.683)	Prec@5 89.500 (84.957)
Epoch: [89][1470/9018]	Time 0.595 (0.607)	Data 0.001 (0.002)	Loss 1.9026 (1.6042)	Prec@1 54.500 (56.677)	Prec@5 80.000 (84.956)
Epoch: [89][1480/9018]	Time 0.603 (0.607)	Data 0.001 (0.002)	Loss 1.8147 (1.6043)	Prec@1 55.000 (56.677)	Prec@5 80.000 (84.950)
Epoch: [89][1490/9018]	Time 0.602 (0.607)	Data 0.001 (0.002)	Loss 1.7290 (1.6047)	Prec@1 52.000 (56.663)	Prec@5 83.000 (84.945)
Epoch: [89][1500/9018]	Time 0.593 (0.607)	Data 0.001 (0.002)	Loss 1.5274 (1.6045)	Prec@1 58.000 (56.675)	Prec@5 86.000 (84.943)
Epoch: [89][1510/9018]	Time 0.601 (0.607)	Data 0.001 (0.002)	Loss 1.5333 (1.6045)	Prec@1 58.000 (56.671)	Prec@5 86.500 (84.946)
Epoch: [89][1520/9018]	Time 0.604 (0.607)	Data 0.001 (0.002)	Loss 1.6065 (1.6046)	Prec@1 55.000 (56.672)	Prec@5 85.000 (84.944)
Epoch: [89][1530/9018]	Time 0.607 (0.607)	Data 0.001 (0.002)	Loss 1.6149 (1.6045)	Prec@1 57.500 (56.677)	Prec@5 86.500 (84.944)
Epoch: [89][1540/9018]	Time 0.600 (0.607)	Data 0.001 (0.002)	Loss 1.6195 (1.6049)	Prec@1 57.000 (56.663)	Prec@5 86.000 (84.939)
Epoch: [89][1550/9018]	Time 0.596 (0.607)	Data 0.001 (0.002)	Loss 1.5501 (1.6048)	Prec@1 62.000 (56.662)	Prec@5 86.500 (84.939)
Epoch: [89][1560/9018]	Time 0.596 (0.607)	Data 0.001 (0.002)	Loss 1.6769 (1.6053)	Prec@1 58.000 (56.654)	Prec@5 81.000 (84.934)
Epoch: [89][1570/9018]	Time 0.601 (0.607)	Data 0.001 (0.002)	Loss 1.5650 (1.6052)	Prec@1 56.500 (56.650)	Prec@5 85.500 (84.937)
Epoch: [89][1580/9018]	Time 0.598 (0.607)	Data 0.001 (0.002)	Loss 1.5306 (1.6052)	Prec@1 57.000 (56.649)	Prec@5 85.000 (84.935)
Epoch: [89][1590/9018]	Time 0.600 (0.607)	Data 0.001 (0.002)	Loss 1.5127 (1.6054)	Prec@1 60.000 (56.645)	Prec@5 84.500 (84.934)
Epoch: [89][1600/9018]	Time 0.603 (0.607)	Data 0.001 (0.002)	Loss 1.4599 (1.6055)	Prec@1 64.000 (56.641)	Prec@5 87.000 (84.930)
Epoch: [89][1610/9018]	Time 0.606 (0.607)	Data 0.001 (0.002)	Loss 1.7557 (1.6054)	Prec@1 53.500 (56.638)	Prec@5 83.000 (84.932)
Epoch: [89][1620/9018]	Time 0.595 (0.607)	Data 0.001 (0.002)	Loss 1.5139 (1.6051)	Prec@1 59.500 (56.643)	Prec@5 86.500 (84.939)
Epoch: [89][1630/9018]	Time 0.596 (0.607)	Data 0.001 (0.002)	Loss 1.7869 (1.6053)	Prec@1 50.500 (56.632)	Prec@5 82.500 (84.936)
Epoch: [89][1640/9018]	Time 0.594 (0.607)	Data 0.001 (0.002)	Loss 1.7956 (1.6056)	Prec@1 53.000 (56.632)	Prec@5 81.000 (84.934)
Epoch: [89][1650/9018]	Time 0.600 (0.607)	Data 0.001 (0.002)	Loss 1.3444 (1.6054)	Prec@1 60.000 (56.632)	Prec@5 90.000 (84.936)
Epoch: [89][1660/9018]	Time 0.594 (0.607)	Data 0.001 (0.002)	Loss 1.5561 (1.6056)	Prec@1 58.000 (56.622)	Prec@5 87.500 (84.938)
Epoch: [89][1670/9018]	Time 0.590 (0.607)	Data 0.001 (0.002)	Loss 1.4468 (1.6054)	Prec@1 60.500 (56.632)	Prec@5 87.000 (84.935)
Epoch: [89][1680/9018]	Time 0.596 (0.607)	Data 0.001 (0.002)	Loss 1.5432 (1.6058)	Prec@1 56.000 (56.625)	Prec@5 86.000 (84.930)
Epoch: [89][1690/9018]	Time 0.597 (0.607)	Data 0.001 (0.002)	Loss 1.4268 (1.6056)	Prec@1 61.500 (56.629)	Prec@5 87.500 (84.934)
Epoch: [89][1700/9018]	Time 0.596 (0.607)	Data 0.001 (0.002)	Loss 1.7332 (1.6058)	Prec@1 55.000 (56.624)	Prec@5 80.500 (84.931)
Epoch: [89][1710/9018]	Time 0.691 (0.607)	Data 0.001 (0.002)	Loss 1.6125 (1.6060)	Prec@1 56.000 (56.622)	Prec@5 87.500 (84.932)
Epoch: [89][1720/9018]	Time 0.600 (0.607)	Data 0.001 (0.002)	Loss 1.4986 (1.6056)	Prec@1 56.500 (56.629)	Prec@5 84.500 (84.939)
Epoch: [89][1730/9018]	Time 0.603 (0.607)	Data 0.001 (0.002)	Loss 1.6575 (1.6057)	Prec@1 53.500 (56.618)	Prec@5 81.500 (84.937)
Epoch: [89][1740/9018]	Time 0.602 (0.607)	Data 0.001 (0.002)	Loss 1.5990 (1.6056)	Prec@1 55.500 (56.622)	Prec@5 87.500 (84.938)
Epoch: [89][1750/9018]	Time 0.600 (0.607)	Data 0.001 (0.002)	Loss 1.4066 (1.6056)	Prec@1 65.000 (56.620)	Prec@5 86.000 (84.934)
Epoch: [89][1760/9018]	Time 0.733 (0.607)	Data 0.001 (0.002)	Loss 1.6886 (1.6059)	Prec@1 56.500 (56.613)	Prec@5 84.500 (84.936)
Epoch: [89][1770/9018]	Time 0.606 (0.607)	Data 0.001 (0.002)	Loss 1.5972 (1.6058)	Prec@1 58.500 (56.619)	Prec@5 85.500 (84.939)
Epoch: [89][1780/9018]	Time 0.590 (0.607)	Data 0.001 (0.002)	Loss 1.6655 (1.6057)	Prec@1 55.500 (56.615)	Prec@5 84.000 (84.940)
Epoch: [89][1790/9018]	Time 0.592 (0.607)	Data 0.001 (0.002)	Loss 1.6851 (1.6055)	Prec@1 52.000 (56.623)	Prec@5 85.500 (84.941)
Epoch: [89][1800/9018]	Time 0.596 (0.607)	Data 0.001 (0.002)	Loss 1.5187 (1.6056)	Prec@1 57.000 (56.625)	Prec@5 86.000 (84.940)
Epoch: [89][1810/9018]	Time 0.596 (0.607)	Data 0.001 (0.002)	Loss 1.4667 (1.6058)	Prec@1 61.500 (56.616)	Prec@5 86.000 (84.933)
Epoch: [89][1820/9018]	Time 0.596 (0.607)	Data 0.001 (0.002)	Loss 1.7425 (1.6060)	Prec@1 53.500 (56.611)	Prec@5 85.000 (84.930)
Epoch: [89][1830/9018]	Time 0.598 (0.607)	Data 0.001 (0.002)	Loss 1.6412 (1.6061)	Prec@1 53.000 (56.609)	Prec@5 83.500 (84.930)
Epoch: [89][1840/9018]	Time 0.604 (0.607)	Data 0.001 (0.002)	Loss 1.6851 (1.6062)	Prec@1 54.500 (56.609)	Prec@5 83.500 (84.922)
Epoch: [89][1850/9018]	Time 0.597 (0.607)	Data 0.001 (0.002)	Loss 1.7560 (1.6064)	Prec@1 55.000 (56.608)	Prec@5 80.000 (84.917)
Epoch: [89][1860/9018]	Time 0.594 (0.607)	Data 0.001 (0.002)	Loss 1.6441 (1.6069)	Prec@1 54.500 (56.596)	Prec@5 84.500 (84.911)
Epoch: [89][1870/9018]	Time 0.591 (0.607)	Data 0.001 (0.002)	Loss 1.6818 (1.6069)	Prec@1 59.500 (56.598)	Prec@5 81.500 (84.905)
Epoch: [89][1880/9018]	Time 0.600 (0.607)	Data 0.001 (0.002)	Loss 1.9109 (1.6069)	Prec@1 48.000 (56.596)	Prec@5 80.000 (84.905)
Epoch: [89][1890/9018]	Time 0.598 (0.607)	Data 0.001 (0.002)	Loss 1.6788 (1.6069)	Prec@1 54.500 (56.596)	Prec@5 86.500 (84.909)
Epoch: [89][1900/9018]	Time 0.595 (0.607)	Data 0.001 (0.002)	Loss 1.6016 (1.6068)	Prec@1 57.000 (56.600)	Prec@5 85.500 (84.909)
Epoch: [89][1910/9018]	Time 0.595 (0.607)	Data 0.001 (0.002)	Loss 1.7492 (1.6071)	Prec@1 55.500 (56.595)	Prec@5 82.500 (84.909)
Epoch: [89][1920/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.6995 (1.6071)	Prec@1 53.000 (56.593)	Prec@5 85.000 (84.909)
Epoch: [89][1930/9018]	Time 0.592 (0.607)	Data 0.001 (0.002)	Loss 1.4963 (1.6069)	Prec@1 60.500 (56.591)	Prec@5 85.500 (84.910)
Epoch: [89][1940/9018]	Time 0.603 (0.606)	Data 0.001 (0.002)	Loss 1.5694 (1.6069)	Prec@1 58.000 (56.596)	Prec@5 84.000 (84.910)
Epoch: [89][1950/9018]	Time 0.601 (0.606)	Data 0.001 (0.002)	Loss 1.6918 (1.6070)	Prec@1 58.500 (56.592)	Prec@5 84.000 (84.910)
Epoch: [89][1960/9018]	Time 0.605 (0.607)	Data 0.001 (0.002)	Loss 1.5635 (1.6066)	Prec@1 56.500 (56.600)	Prec@5 86.000 (84.916)
Epoch: [89][1970/9018]	Time 0.620 (0.607)	Data 0.001 (0.002)	Loss 1.6977 (1.6069)	Prec@1 59.000 (56.599)	Prec@5 85.000 (84.915)
Epoch: [89][1980/9018]	Time 0.601 (0.607)	Data 0.001 (0.002)	Loss 1.7770 (1.6072)	Prec@1 52.000 (56.585)	Prec@5 80.500 (84.908)
Epoch: [89][1990/9018]	Time 0.587 (0.606)	Data 0.001 (0.002)	Loss 1.4080 (1.6071)	Prec@1 63.500 (56.587)	Prec@5 88.500 (84.911)
Epoch: [89][2000/9018]	Time 0.593 (0.606)	Data 0.001 (0.002)	Loss 1.5517 (1.6069)	Prec@1 59.000 (56.600)	Prec@5 87.000 (84.912)
Epoch: [89][2010/9018]	Time 0.600 (0.607)	Data 0.001 (0.002)	Loss 1.6541 (1.6070)	Prec@1 56.000 (56.601)	Prec@5 84.000 (84.911)
Epoch: [89][2020/9018]	Time 0.592 (0.606)	Data 0.001 (0.002)	Loss 1.5581 (1.6070)	Prec@1 57.000 (56.597)	Prec@5 85.500 (84.908)
Epoch: [89][2030/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 1.6930 (1.6071)	Prec@1 58.500 (56.603)	Prec@5 82.500 (84.907)
Epoch: [89][2040/9018]	Time 0.717 (0.607)	Data 0.001 (0.002)	Loss 1.7644 (1.6074)	Prec@1 55.500 (56.592)	Prec@5 82.500 (84.902)
Epoch: [89][2050/9018]	Time 0.595 (0.606)	Data 0.001 (0.002)	Loss 1.6055 (1.6079)	Prec@1 54.500 (56.579)	Prec@5 83.500 (84.893)
Epoch: [89][2060/9018]	Time 0.598 (0.607)	Data 0.001 (0.002)	Loss 1.6415 (1.6079)	Prec@1 53.500 (56.575)	Prec@5 83.000 (84.892)
Epoch: [89][2070/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.6641 (1.6079)	Prec@1 52.500 (56.575)	Prec@5 82.000 (84.891)
Epoch: [89][2080/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 1.7365 (1.6079)	Prec@1 55.000 (56.577)	Prec@5 85.500 (84.896)
Epoch: [89][2090/9018]	Time 0.721 (0.606)	Data 0.001 (0.002)	Loss 1.3743 (1.6076)	Prec@1 61.500 (56.585)	Prec@5 89.000 (84.898)
Epoch: [89][2100/9018]	Time 0.600 (0.606)	Data 0.001 (0.002)	Loss 1.5461 (1.6074)	Prec@1 55.000 (56.594)	Prec@5 86.500 (84.899)
Epoch: [89][2110/9018]	Time 0.598 (0.606)	Data 0.001 (0.002)	Loss 1.7493 (1.6075)	Prec@1 53.000 (56.596)	Prec@5 84.000 (84.893)
Epoch: [89][2120/9018]	Time 0.609 (0.606)	Data 0.001 (0.002)	Loss 1.5289 (1.6075)	Prec@1 60.000 (56.593)	Prec@5 84.500 (84.891)
Epoch: [89][2130/9018]	Time 0.603 (0.606)	Data 0.001 (0.002)	Loss 1.6692 (1.6077)	Prec@1 53.000 (56.583)	Prec@5 82.500 (84.890)
Epoch: [89][2140/9018]	Time 0.601 (0.606)	Data 0.001 (0.002)	Loss 1.9883 (1.6082)	Prec@1 51.500 (56.571)	Prec@5 78.500 (84.885)
Epoch: [89][2150/9018]	Time 0.592 (0.606)	Data 0.001 (0.002)	Loss 1.7547 (1.6083)	Prec@1 53.500 (56.570)	Prec@5 83.500 (84.887)
Epoch: [89][2160/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.6903 (1.6086)	Prec@1 56.500 (56.565)	Prec@5 82.000 (84.882)
Epoch: [89][2170/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.6505 (1.6088)	Prec@1 55.500 (56.559)	Prec@5 84.500 (84.879)
Epoch: [89][2180/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 1.5900 (1.6087)	Prec@1 55.000 (56.558)	Prec@5 86.500 (84.877)
Epoch: [89][2190/9018]	Time 0.604 (0.606)	Data 0.001 (0.002)	Loss 1.6230 (1.6088)	Prec@1 54.500 (56.554)	Prec@5 86.000 (84.877)
Epoch: [89][2200/9018]	Time 0.601 (0.606)	Data 0.001 (0.002)	Loss 1.6056 (1.6090)	Prec@1 60.000 (56.547)	Prec@5 83.500 (84.874)
Epoch: [89][2210/9018]	Time 0.602 (0.606)	Data 0.001 (0.002)	Loss 1.2760 (1.6090)	Prec@1 63.000 (56.549)	Prec@5 88.500 (84.873)
Epoch: [89][2220/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.4625 (1.6087)	Prec@1 61.000 (56.558)	Prec@5 89.500 (84.880)
Epoch: [89][2230/9018]	Time 0.599 (0.606)	Data 0.001 (0.002)	Loss 1.6202 (1.6087)	Prec@1 56.500 (56.561)	Prec@5 85.000 (84.879)
Epoch: [89][2240/9018]	Time 0.592 (0.606)	Data 0.001 (0.002)	Loss 1.6330 (1.6088)	Prec@1 52.000 (56.554)	Prec@5 85.500 (84.878)
Epoch: [89][2250/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 1.8138 (1.6090)	Prec@1 54.500 (56.554)	Prec@5 80.500 (84.872)
Epoch: [89][2260/9018]	Time 0.599 (0.606)	Data 0.001 (0.002)	Loss 1.5845 (1.6090)	Prec@1 56.000 (56.556)	Prec@5 85.500 (84.871)
Epoch: [89][2270/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 1.4377 (1.6090)	Prec@1 60.500 (56.552)	Prec@5 89.000 (84.869)
Epoch: [89][2280/9018]	Time 0.592 (0.606)	Data 0.001 (0.002)	Loss 1.6627 (1.6091)	Prec@1 59.500 (56.552)	Prec@5 81.500 (84.868)
Epoch: [89][2290/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 1.5003 (1.6092)	Prec@1 59.000 (56.551)	Prec@5 86.500 (84.865)
Epoch: [89][2300/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.7997 (1.6092)	Prec@1 55.000 (56.552)	Prec@5 83.000 (84.865)
Epoch: [89][2310/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 1.5015 (1.6092)	Prec@1 58.000 (56.549)	Prec@5 84.000 (84.865)
Epoch: [89][2320/9018]	Time 0.595 (0.606)	Data 0.001 (0.002)	Loss 1.4178 (1.6091)	Prec@1 59.000 (56.547)	Prec@5 87.500 (84.868)
Epoch: [89][2330/9018]	Time 0.599 (0.606)	Data 0.001 (0.002)	Loss 1.3725 (1.6091)	Prec@1 58.500 (56.547)	Prec@5 88.500 (84.864)
Epoch: [89][2340/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.5908 (1.6091)	Prec@1 56.500 (56.542)	Prec@5 84.000 (84.865)
Epoch: [89][2350/9018]	Time 0.602 (0.606)	Data 0.001 (0.002)	Loss 1.5992 (1.6092)	Prec@1 56.500 (56.536)	Prec@5 84.000 (84.864)
Epoch: [89][2360/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 1.6118 (1.6093)	Prec@1 54.000 (56.530)	Prec@5 86.000 (84.867)
Epoch: [89][2370/9018]	Time 0.732 (0.606)	Data 0.001 (0.002)	Loss 1.5056 (1.6094)	Prec@1 57.000 (56.532)	Prec@5 84.500 (84.860)
Epoch: [89][2380/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 1.4396 (1.6091)	Prec@1 58.500 (56.541)	Prec@5 89.500 (84.869)
Epoch: [89][2390/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.6989 (1.6089)	Prec@1 52.500 (56.541)	Prec@5 85.000 (84.872)
Epoch: [89][2400/9018]	Time 0.601 (0.606)	Data 0.001 (0.002)	Loss 1.6409 (1.6091)	Prec@1 54.500 (56.537)	Prec@5 80.500 (84.868)
Epoch: [89][2410/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 1.7478 (1.6093)	Prec@1 54.500 (56.532)	Prec@5 84.000 (84.867)
Epoch: [89][2420/9018]	Time 0.730 (0.606)	Data 0.001 (0.002)	Loss 1.7265 (1.6092)	Prec@1 52.000 (56.531)	Prec@5 84.000 (84.867)
Epoch: [89][2430/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.8669 (1.6095)	Prec@1 50.000 (56.524)	Prec@5 81.500 (84.863)
Epoch: [89][2440/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 1.6468 (1.6096)	Prec@1 53.000 (56.521)	Prec@5 84.500 (84.865)
Epoch: [89][2450/9018]	Time 0.603 (0.606)	Data 0.001 (0.002)	Loss 1.7269 (1.6096)	Prec@1 53.000 (56.519)	Prec@5 85.500 (84.869)
Epoch: [89][2460/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 1.8382 (1.6094)	Prec@1 53.500 (56.524)	Prec@5 77.000 (84.869)
Epoch: [89][2470/9018]	Time 0.600 (0.606)	Data 0.001 (0.002)	Loss 1.7176 (1.6096)	Prec@1 53.500 (56.522)	Prec@5 83.500 (84.869)
Epoch: [89][2480/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.5471 (1.6095)	Prec@1 63.000 (56.524)	Prec@5 83.000 (84.869)
Epoch: [89][2490/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.7272 (1.6096)	Prec@1 54.000 (56.524)	Prec@5 82.500 (84.865)
Epoch: [89][2500/9018]	Time 0.601 (0.606)	Data 0.001 (0.002)	Loss 1.4558 (1.6094)	Prec@1 59.500 (56.527)	Prec@5 88.000 (84.866)
Epoch: [89][2510/9018]	Time 0.601 (0.606)	Data 0.001 (0.002)	Loss 1.8972 (1.6097)	Prec@1 49.000 (56.518)	Prec@5 83.500 (84.862)
Epoch: [89][2520/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.6325 (1.6097)	Prec@1 55.500 (56.519)	Prec@5 83.500 (84.861)
Epoch: [89][2530/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.6279 (1.6099)	Prec@1 57.000 (56.518)	Prec@5 88.000 (84.859)
Epoch: [89][2540/9018]	Time 0.601 (0.606)	Data 0.001 (0.002)	Loss 1.6053 (1.6102)	Prec@1 54.500 (56.509)	Prec@5 88.000 (84.857)
Epoch: [89][2550/9018]	Time 0.601 (0.606)	Data 0.001 (0.002)	Loss 1.5997 (1.6102)	Prec@1 54.000 (56.506)	Prec@5 87.500 (84.858)
Epoch: [89][2560/9018]	Time 0.603 (0.606)	Data 0.001 (0.002)	Loss 1.5205 (1.6103)	Prec@1 56.500 (56.504)	Prec@5 89.000 (84.859)
Epoch: [89][2570/9018]	Time 0.602 (0.606)	Data 0.001 (0.002)	Loss 1.5111 (1.6101)	Prec@1 59.500 (56.508)	Prec@5 85.000 (84.862)
Epoch: [89][2580/9018]	Time 0.607 (0.606)	Data 0.001 (0.002)	Loss 1.5070 (1.6102)	Prec@1 57.000 (56.506)	Prec@5 88.500 (84.860)
Epoch: [89][2590/9018]	Time 0.606 (0.606)	Data 0.001 (0.002)	Loss 1.5784 (1.6100)	Prec@1 58.500 (56.514)	Prec@5 85.500 (84.865)
Epoch: [89][2600/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.8209 (1.6099)	Prec@1 51.500 (56.518)	Prec@5 80.000 (84.868)
Epoch: [89][2610/9018]	Time 0.595 (0.606)	Data 0.001 (0.002)	Loss 1.5205 (1.6098)	Prec@1 60.000 (56.519)	Prec@5 87.500 (84.870)
Epoch: [89][2620/9018]	Time 0.598 (0.606)	Data 0.001 (0.002)	Loss 1.6140 (1.6100)	Prec@1 58.500 (56.516)	Prec@5 83.500 (84.866)
Epoch: [89][2630/9018]	Time 0.600 (0.606)	Data 0.001 (0.002)	Loss 1.5400 (1.6097)	Prec@1 57.000 (56.521)	Prec@5 84.500 (84.870)
Epoch: [89][2640/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 1.6404 (1.6097)	Prec@1 55.500 (56.522)	Prec@5 86.500 (84.871)
Epoch: [89][2650/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 1.5947 (1.6097)	Prec@1 62.500 (56.527)	Prec@5 84.000 (84.873)
Epoch: [89][2660/9018]	Time 0.592 (0.606)	Data 0.001 (0.002)	Loss 1.5433 (1.6096)	Prec@1 62.000 (56.526)	Prec@5 86.500 (84.875)
Epoch: [89][2670/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 1.4413 (1.6096)	Prec@1 59.000 (56.522)	Prec@5 87.000 (84.878)
Epoch: [89][2680/9018]	Time 0.595 (0.606)	Data 0.001 (0.002)	Loss 1.6581 (1.6095)	Prec@1 59.500 (56.525)	Prec@5 82.000 (84.880)
Epoch: [89][2690/9018]	Time 0.600 (0.606)	Data 0.001 (0.002)	Loss 1.6254 (1.6097)	Prec@1 61.500 (56.522)	Prec@5 86.500 (84.876)
Epoch: [89][2700/9018]	Time 0.722 (0.606)	Data 0.001 (0.002)	Loss 1.4778 (1.6095)	Prec@1 62.500 (56.529)	Prec@5 87.500 (84.877)
Epoch: [89][2710/9018]	Time 0.595 (0.606)	Data 0.001 (0.002)	Loss 1.4931 (1.6097)	Prec@1 62.500 (56.530)	Prec@5 85.000 (84.876)
Epoch: [89][2720/9018]	Time 0.593 (0.606)	Data 0.001 (0.002)	Loss 1.5554 (1.6095)	Prec@1 53.500 (56.530)	Prec@5 85.000 (84.879)
Epoch: [89][2730/9018]	Time 0.598 (0.606)	Data 0.001 (0.002)	Loss 1.5664 (1.6093)	Prec@1 54.000 (56.530)	Prec@5 87.000 (84.880)
Epoch: [89][2740/9018]	Time 0.592 (0.606)	Data 0.001 (0.002)	Loss 1.6304 (1.6094)	Prec@1 57.500 (56.530)	Prec@5 84.500 (84.878)
Epoch: [89][2750/9018]	Time 0.718 (0.606)	Data 0.001 (0.002)	Loss 1.6381 (1.6096)	Prec@1 51.500 (56.525)	Prec@5 85.000 (84.877)
Epoch: [89][2760/9018]	Time 0.601 (0.606)	Data 0.001 (0.002)	Loss 1.6612 (1.6097)	Prec@1 55.500 (56.522)	Prec@5 84.000 (84.877)
Epoch: [89][2770/9018]	Time 0.598 (0.606)	Data 0.001 (0.002)	Loss 1.7010 (1.6099)	Prec@1 57.500 (56.521)	Prec@5 80.500 (84.872)
Epoch: [89][2780/9018]	Time 0.607 (0.606)	Data 0.001 (0.002)	Loss 1.5704 (1.6099)	Prec@1 57.500 (56.522)	Prec@5 85.000 (84.873)
Epoch: [89][2790/9018]	Time 0.602 (0.606)	Data 0.001 (0.002)	Loss 1.6387 (1.6100)	Prec@1 55.000 (56.517)	Prec@5 86.000 (84.872)
Epoch: [89][2800/9018]	Time 0.600 (0.606)	Data 0.001 (0.002)	Loss 1.6051 (1.6099)	Prec@1 59.000 (56.522)	Prec@5 81.500 (84.869)
Epoch: [89][2810/9018]	Time 0.601 (0.606)	Data 0.001 (0.002)	Loss 1.6249 (1.6100)	Prec@1 56.000 (56.523)	Prec@5 84.500 (84.868)
Epoch: [89][2820/9018]	Time 0.595 (0.606)	Data 0.001 (0.002)	Loss 1.5224 (1.6102)	Prec@1 61.000 (56.521)	Prec@5 84.000 (84.867)
Epoch: [89][2830/9018]	Time 0.601 (0.606)	Data 0.001 (0.002)	Loss 1.7289 (1.6102)	Prec@1 52.000 (56.511)	Prec@5 82.000 (84.866)
Epoch: [89][2840/9018]	Time 0.600 (0.606)	Data 0.001 (0.002)	Loss 1.7554 (1.6102)	Prec@1 53.500 (56.511)	Prec@5 82.500 (84.867)
Epoch: [89][2850/9018]	Time 0.602 (0.606)	Data 0.001 (0.002)	Loss 1.6572 (1.6103)	Prec@1 58.000 (56.510)	Prec@5 81.000 (84.866)
Epoch: [89][2860/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 1.7665 (1.6104)	Prec@1 55.000 (56.513)	Prec@5 81.500 (84.864)
Epoch: [89][2870/9018]	Time 0.602 (0.606)	Data 0.001 (0.002)	Loss 1.3556 (1.6103)	Prec@1 63.500 (56.515)	Prec@5 89.500 (84.865)
Epoch: [89][2880/9018]	Time 0.600 (0.606)	Data 0.001 (0.002)	Loss 1.7813 (1.6106)	Prec@1 54.000 (56.506)	Prec@5 83.500 (84.862)
Epoch: [89][2890/9018]	Time 0.600 (0.606)	Data 0.001 (0.002)	Loss 1.6942 (1.6106)	Prec@1 54.000 (56.505)	Prec@5 82.000 (84.862)
Epoch: [89][2900/9018]	Time 0.608 (0.606)	Data 0.001 (0.002)	Loss 1.6227 (1.6105)	Prec@1 56.500 (56.509)	Prec@5 84.000 (84.863)
Epoch: [89][2910/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 1.5839 (1.6107)	Prec@1 57.000 (56.508)	Prec@5 82.000 (84.856)
Epoch: [89][2920/9018]	Time 0.589 (0.606)	Data 0.001 (0.002)	Loss 1.6520 (1.6108)	Prec@1 58.500 (56.507)	Prec@5 83.500 (84.852)
Epoch: [89][2930/9018]	Time 0.594 (0.606)	Data 0.001 (0.002)	Loss 1.5158 (1.6110)	Prec@1 58.500 (56.506)	Prec@5 86.000 (84.847)
Epoch: [89][2940/9018]	Time 0.600 (0.606)	Data 0.001 (0.002)	Loss 1.7108 (1.6109)	Prec@1 55.000 (56.512)	Prec@5 82.500 (84.851)
Epoch: [89][2950/9018]	Time 0.600 (0.606)	Data 0.001 (0.002)	Loss 1.6145 (1.6111)	Prec@1 55.500 (56.508)	Prec@5 85.000 (84.849)
Epoch: [89][2960/9018]	Time 0.593 (0.606)	Data 0.001 (0.002)	Loss 1.5124 (1.6108)	Prec@1 60.500 (56.518)	Prec@5 84.500 (84.853)
Epoch: [89][2970/9018]	Time 0.592 (0.606)	Data 0.001 (0.002)	Loss 1.7813 (1.6108)	Prec@1 54.500 (56.520)	Prec@5 80.000 (84.853)
Epoch: [89][2980/9018]	Time 0.595 (0.606)	Data 0.001 (0.002)	Loss 1.6761 (1.6110)	Prec@1 56.500 (56.516)	Prec@5 85.000 (84.853)
Epoch: [89][2990/9018]	Time 0.596 (0.606)	Data 0.001 (0.002)	Loss 1.7426 (1.6108)	Prec@1 51.000 (56.517)	Prec@5 78.500 (84.855)
Epoch: [89][3000/9018]	Time 0.593 (0.606)	Data 0.001 (0.002)	Loss 1.5552 (1.6108)	Prec@1 57.000 (56.514)	Prec@5 87.000 (84.855)
Epoch: [89][3010/9018]	Time 0.595 (0.606)	Data 0.001 (0.002)	Loss 1.5805 (1.6107)	Prec@1 59.000 (56.518)	Prec@5 85.500 (84.854)
Epoch: [89][3020/9018]	Time 0.604 (0.606)	Data 0.001 (0.002)	Loss 1.6577 (1.6106)	Prec@1 54.000 (56.524)	Prec@5 88.000 (84.860)
Epoch: [89][3030/9018]	Time 0.712 (0.606)	Data 0.001 (0.002)	Loss 1.5876 (1.6105)	Prec@1 53.000 (56.528)	Prec@5 85.000 (84.861)
Epoch: [89][3040/9018]	Time 0.592 (0.606)	Data 0.001 (0.002)	Loss 1.6923 (1.6106)	Prec@1 58.000 (56.529)	Prec@5 82.000 (84.857)
Epoch: [89][3050/9018]	Time 0.597 (0.606)	Data 0.001 (0.002)	Loss 1.5233 (1.6104)	Prec@1 58.500 (56.530)	Prec@5 87.500 (84.863)
Epoch: [89][3060/9018]	Time 0.601 (0.606)	Data 0.001 (0.002)	Loss 1.6787 (1.6106)	Prec@1 54.500 (56.525)	Prec@5 84.000 (84.860)
Epoch: [89][3070/9018]	Time 0.607 (0.606)	Data 0.002 (0.002)	Loss 1.4840 (1.6105)	Prec@1 63.500 (56.527)	Prec@5 87.500 (84.861)
Epoch: [89][3080/9018]	Time 0.721 (0.606)	Data 0.001 (0.002)	Loss 1.5268 (1.6106)	Prec@1 55.000 (56.525)	Prec@5 90.000 (84.863)
Epoch: [89][3090/9018]	Time 0.599 (0.606)	Data 0.001 (0.002)	Loss 1.7344 (1.6106)	Prec@1 57.000 (56.527)	Prec@5 84.000 (84.864)
Epoch: [89][3100/9018]	Time 0.595 (0.606)	Data 0.001 (0.002)	Loss 1.7958 (1.6108)	Prec@1 51.000 (56.520)	Prec@5 84.500 (84.862)
Epoch: [89][3110/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.7417 (1.6110)	Prec@1 49.000 (56.514)	Prec@5 85.500 (84.858)
Epoch: [89][3120/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.4936 (1.6109)	Prec@1 56.000 (56.516)	Prec@5 89.000 (84.861)
Epoch: [89][3130/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.6054 (1.6108)	Prec@1 55.500 (56.520)	Prec@5 85.500 (84.863)
Epoch: [89][3140/9018]	Time 0.607 (0.606)	Data 0.001 (0.001)	Loss 1.7138 (1.6108)	Prec@1 52.500 (56.524)	Prec@5 85.500 (84.865)
Epoch: [89][3150/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6517 (1.6108)	Prec@1 59.000 (56.528)	Prec@5 82.500 (84.864)
Epoch: [89][3160/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.7951 (1.6107)	Prec@1 48.500 (56.530)	Prec@5 80.500 (84.864)
Epoch: [89][3170/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.6555 (1.6109)	Prec@1 54.500 (56.526)	Prec@5 86.000 (84.862)
Epoch: [89][3180/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.4446 (1.6107)	Prec@1 62.000 (56.531)	Prec@5 86.000 (84.863)
Epoch: [89][3190/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.6697 (1.6108)	Prec@1 54.500 (56.529)	Prec@5 85.000 (84.862)
Epoch: [89][3200/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6174 (1.6108)	Prec@1 58.500 (56.530)	Prec@5 83.500 (84.862)
Epoch: [89][3210/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.8770 (1.6111)	Prec@1 51.500 (56.525)	Prec@5 81.000 (84.857)
Epoch: [89][3220/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6928 (1.6111)	Prec@1 53.500 (56.525)	Prec@5 84.000 (84.854)
Epoch: [89][3230/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.5872 (1.6111)	Prec@1 53.000 (56.522)	Prec@5 85.000 (84.856)
Epoch: [89][3240/9018]	Time 0.606 (0.606)	Data 0.001 (0.001)	Loss 1.7454 (1.6110)	Prec@1 57.000 (56.529)	Prec@5 80.000 (84.854)
Epoch: [89][3250/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.5917 (1.6109)	Prec@1 58.000 (56.530)	Prec@5 85.000 (84.855)
Epoch: [89][3260/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.8160 (1.6109)	Prec@1 52.000 (56.536)	Prec@5 82.000 (84.854)
Epoch: [89][3270/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6447 (1.6110)	Prec@1 54.500 (56.539)	Prec@5 82.000 (84.849)
Epoch: [89][3280/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.7668 (1.6110)	Prec@1 55.000 (56.539)	Prec@5 80.500 (84.848)
Epoch: [89][3290/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.5743 (1.6112)	Prec@1 53.500 (56.534)	Prec@5 86.500 (84.845)
Epoch: [89][3300/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.3960 (1.6111)	Prec@1 65.500 (56.539)	Prec@5 86.000 (84.846)
Epoch: [89][3310/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.5159 (1.6110)	Prec@1 60.500 (56.540)	Prec@5 89.000 (84.850)
Epoch: [89][3320/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.5784 (1.6109)	Prec@1 55.000 (56.542)	Prec@5 86.000 (84.850)
Epoch: [89][3330/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.6476 (1.6107)	Prec@1 55.500 (56.547)	Prec@5 83.000 (84.854)
Epoch: [89][3340/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.7714 (1.6105)	Prec@1 52.000 (56.551)	Prec@5 84.500 (84.857)
Epoch: [89][3350/9018]	Time 0.606 (0.606)	Data 0.003 (0.001)	Loss 1.8974 (1.6106)	Prec@1 49.500 (56.550)	Prec@5 78.500 (84.855)
Epoch: [89][3360/9018]	Time 0.727 (0.606)	Data 0.001 (0.001)	Loss 1.8036 (1.6107)	Prec@1 53.000 (56.551)	Prec@5 81.500 (84.851)
Epoch: [89][3370/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.6574 (1.6107)	Prec@1 54.000 (56.551)	Prec@5 85.000 (84.851)
Epoch: [89][3380/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.7077 (1.6106)	Prec@1 54.000 (56.554)	Prec@5 83.500 (84.854)
Epoch: [89][3390/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.5806 (1.6107)	Prec@1 61.000 (56.551)	Prec@5 86.000 (84.853)
Epoch: [89][3400/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.6434 (1.6109)	Prec@1 54.500 (56.546)	Prec@5 84.500 (84.849)
Epoch: [89][3410/9018]	Time 0.721 (0.606)	Data 0.001 (0.001)	Loss 1.5007 (1.6111)	Prec@1 60.500 (56.542)	Prec@5 82.500 (84.846)
Epoch: [89][3420/9018]	Time 0.591 (0.606)	Data 0.001 (0.001)	Loss 1.4199 (1.6110)	Prec@1 59.500 (56.545)	Prec@5 88.500 (84.848)
Epoch: [89][3430/9018]	Time 0.591 (0.606)	Data 0.001 (0.001)	Loss 1.6009 (1.6108)	Prec@1 57.000 (56.553)	Prec@5 87.000 (84.849)
Epoch: [89][3440/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.7268 (1.6109)	Prec@1 49.000 (56.545)	Prec@5 84.500 (84.845)
Epoch: [89][3450/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.9875 (1.6110)	Prec@1 44.500 (56.539)	Prec@5 77.000 (84.841)
Epoch: [89][3460/9018]	Time 0.606 (0.606)	Data 0.001 (0.001)	Loss 1.7782 (1.6113)	Prec@1 52.000 (56.535)	Prec@5 84.000 (84.839)
Epoch: [89][3470/9018]	Time 0.606 (0.606)	Data 0.001 (0.001)	Loss 1.8739 (1.6114)	Prec@1 49.500 (56.532)	Prec@5 79.500 (84.835)
Epoch: [89][3480/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.5175 (1.6112)	Prec@1 59.000 (56.538)	Prec@5 88.500 (84.837)
Epoch: [89][3490/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.6078 (1.6110)	Prec@1 59.500 (56.542)	Prec@5 83.000 (84.840)
Epoch: [89][3500/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.6556 (1.6111)	Prec@1 51.000 (56.538)	Prec@5 85.500 (84.840)
Epoch: [89][3510/9018]	Time 0.606 (0.606)	Data 0.001 (0.001)	Loss 1.5009 (1.6110)	Prec@1 57.500 (56.542)	Prec@5 84.000 (84.842)
Epoch: [89][3520/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.4236 (1.6109)	Prec@1 61.500 (56.545)	Prec@5 90.500 (84.844)
Epoch: [89][3530/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.5909 (1.6109)	Prec@1 59.500 (56.544)	Prec@5 83.500 (84.846)
Epoch: [89][3540/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.5616 (1.6109)	Prec@1 57.000 (56.544)	Prec@5 84.000 (84.846)
Epoch: [89][3550/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.5847 (1.6110)	Prec@1 57.500 (56.538)	Prec@5 84.000 (84.845)
Epoch: [89][3560/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6392 (1.6109)	Prec@1 52.000 (56.536)	Prec@5 85.500 (84.848)
Epoch: [89][3570/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.5468 (1.6110)	Prec@1 59.500 (56.533)	Prec@5 84.000 (84.849)
Epoch: [89][3580/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.4097 (1.6109)	Prec@1 60.000 (56.534)	Prec@5 88.500 (84.850)
Epoch: [89][3590/9018]	Time 0.590 (0.606)	Data 0.001 (0.001)	Loss 1.4480 (1.6108)	Prec@1 58.000 (56.536)	Prec@5 91.500 (84.852)
Epoch: [89][3600/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.4881 (1.6108)	Prec@1 60.000 (56.535)	Prec@5 86.500 (84.853)
Epoch: [89][3610/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.5311 (1.6107)	Prec@1 58.500 (56.540)	Prec@5 84.000 (84.855)
Epoch: [89][3620/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.5893 (1.6106)	Prec@1 53.000 (56.544)	Prec@5 82.500 (84.860)
Epoch: [89][3630/9018]	Time 0.609 (0.606)	Data 0.001 (0.001)	Loss 1.6927 (1.6105)	Prec@1 59.000 (56.549)	Prec@5 81.500 (84.861)
Epoch: [89][3640/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.5131 (1.6106)	Prec@1 55.500 (56.543)	Prec@5 87.500 (84.860)
Epoch: [89][3650/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.7563 (1.6107)	Prec@1 48.500 (56.542)	Prec@5 83.000 (84.856)
Epoch: [89][3660/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.7654 (1.6107)	Prec@1 58.000 (56.546)	Prec@5 84.000 (84.857)
Epoch: [89][3670/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.6723 (1.6106)	Prec@1 55.000 (56.549)	Prec@5 83.000 (84.859)
Epoch: [89][3680/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.8612 (1.6108)	Prec@1 51.500 (56.544)	Prec@5 82.500 (84.859)
Epoch: [89][3690/9018]	Time 0.709 (0.606)	Data 0.001 (0.001)	Loss 1.7036 (1.6108)	Prec@1 54.500 (56.545)	Prec@5 82.500 (84.860)
Epoch: [89][3700/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.7400 (1.6108)	Prec@1 56.000 (56.542)	Prec@5 78.000 (84.856)
Epoch: [89][3710/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.6730 (1.6108)	Prec@1 52.000 (56.537)	Prec@5 82.500 (84.855)
Epoch: [89][3720/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.6392 (1.6111)	Prec@1 58.500 (56.531)	Prec@5 86.500 (84.852)
Epoch: [89][3730/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.5570 (1.6110)	Prec@1 56.000 (56.532)	Prec@5 87.500 (84.854)
Epoch: [89][3740/9018]	Time 0.734 (0.606)	Data 0.001 (0.001)	Loss 1.5396 (1.6110)	Prec@1 54.500 (56.528)	Prec@5 87.500 (84.856)
Epoch: [89][3750/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.6369 (1.6109)	Prec@1 56.000 (56.531)	Prec@5 83.000 (84.856)
Epoch: [89][3760/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.5416 (1.6108)	Prec@1 60.500 (56.537)	Prec@5 84.500 (84.859)
Epoch: [89][3770/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.8034 (1.6108)	Prec@1 53.500 (56.540)	Prec@5 81.500 (84.860)
Epoch: [89][3780/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.6096 (1.6108)	Prec@1 55.000 (56.541)	Prec@5 86.000 (84.861)
Epoch: [89][3790/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.5199 (1.6108)	Prec@1 59.000 (56.543)	Prec@5 86.500 (84.863)
Epoch: [89][3800/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.6634 (1.6109)	Prec@1 55.500 (56.542)	Prec@5 83.500 (84.861)
Epoch: [89][3810/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6560 (1.6111)	Prec@1 54.500 (56.536)	Prec@5 84.000 (84.859)
Epoch: [89][3820/9018]	Time 0.608 (0.606)	Data 0.001 (0.001)	Loss 1.7944 (1.6113)	Prec@1 56.500 (56.531)	Prec@5 79.000 (84.853)
Epoch: [89][3830/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.5792 (1.6113)	Prec@1 56.500 (56.533)	Prec@5 86.500 (84.854)
Epoch: [89][3840/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.6224 (1.6115)	Prec@1 59.000 (56.528)	Prec@5 84.500 (84.847)
Epoch: [89][3850/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.6699 (1.6116)	Prec@1 56.000 (56.523)	Prec@5 86.000 (84.848)
Epoch: [89][3860/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.6000 (1.6115)	Prec@1 54.000 (56.523)	Prec@5 86.000 (84.850)
Epoch: [89][3870/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.8061 (1.6115)	Prec@1 50.500 (56.522)	Prec@5 82.500 (84.849)
Epoch: [89][3880/9018]	Time 0.618 (0.606)	Data 0.001 (0.001)	Loss 1.7841 (1.6115)	Prec@1 52.500 (56.518)	Prec@5 85.500 (84.848)
Epoch: [89][3890/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.5257 (1.6114)	Prec@1 62.500 (56.521)	Prec@5 86.000 (84.852)
Epoch: [89][3900/9018]	Time 0.606 (0.606)	Data 0.001 (0.001)	Loss 1.6869 (1.6115)	Prec@1 57.000 (56.522)	Prec@5 85.000 (84.852)
Epoch: [89][3910/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.4540 (1.6115)	Prec@1 60.000 (56.523)	Prec@5 84.000 (84.854)
Epoch: [89][3920/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.4838 (1.6115)	Prec@1 58.500 (56.520)	Prec@5 85.000 (84.852)
Epoch: [89][3930/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6447 (1.6115)	Prec@1 57.000 (56.517)	Prec@5 82.000 (84.851)
Epoch: [89][3940/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.5600 (1.6116)	Prec@1 55.000 (56.512)	Prec@5 85.500 (84.849)
Epoch: [89][3950/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.6305 (1.6116)	Prec@1 55.500 (56.512)	Prec@5 85.500 (84.850)
Epoch: [89][3960/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.6513 (1.6115)	Prec@1 51.500 (56.513)	Prec@5 83.000 (84.849)
Epoch: [89][3970/9018]	Time 0.606 (0.606)	Data 0.001 (0.001)	Loss 1.5279 (1.6114)	Prec@1 57.500 (56.514)	Prec@5 83.000 (84.851)
Epoch: [89][3980/9018]	Time 0.611 (0.606)	Data 0.001 (0.001)	Loss 1.6445 (1.6112)	Prec@1 57.000 (56.521)	Prec@5 86.000 (84.854)
Epoch: [89][3990/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.8002 (1.6113)	Prec@1 51.500 (56.520)	Prec@5 79.500 (84.851)
Epoch: [89][4000/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.7129 (1.6113)	Prec@1 53.500 (56.516)	Prec@5 83.500 (84.853)
Epoch: [89][4010/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.6066 (1.6113)	Prec@1 58.000 (56.514)	Prec@5 86.000 (84.853)
Epoch: [89][4020/9018]	Time 0.726 (0.606)	Data 0.001 (0.001)	Loss 1.6276 (1.6113)	Prec@1 54.500 (56.514)	Prec@5 85.500 (84.855)
Epoch: [89][4030/9018]	Time 0.589 (0.606)	Data 0.001 (0.001)	Loss 1.6145 (1.6114)	Prec@1 58.500 (56.515)	Prec@5 82.000 (84.851)
Epoch: [89][4040/9018]	Time 0.588 (0.606)	Data 0.001 (0.001)	Loss 1.4346 (1.6113)	Prec@1 59.000 (56.514)	Prec@5 87.500 (84.854)
Epoch: [89][4050/9018]	Time 0.591 (0.606)	Data 0.001 (0.001)	Loss 1.7730 (1.6114)	Prec@1 52.000 (56.512)	Prec@5 83.500 (84.853)
Epoch: [89][4060/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6539 (1.6115)	Prec@1 55.000 (56.510)	Prec@5 87.500 (84.852)
Epoch: [89][4070/9018]	Time 0.726 (0.606)	Data 0.001 (0.001)	Loss 1.6107 (1.6115)	Prec@1 53.500 (56.510)	Prec@5 86.000 (84.852)
Epoch: [89][4080/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6774 (1.6116)	Prec@1 59.000 (56.510)	Prec@5 80.000 (84.850)
Epoch: [89][4090/9018]	Time 0.591 (0.606)	Data 0.001 (0.001)	Loss 1.7757 (1.6117)	Prec@1 52.500 (56.508)	Prec@5 84.000 (84.847)
Epoch: [89][4100/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6918 (1.6117)	Prec@1 51.500 (56.510)	Prec@5 84.000 (84.847)
Epoch: [89][4110/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.5125 (1.6118)	Prec@1 58.500 (56.506)	Prec@5 88.500 (84.846)
Epoch: [89][4120/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.5159 (1.6118)	Prec@1 56.500 (56.504)	Prec@5 86.500 (84.845)
Epoch: [89][4130/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.6411 (1.6119)	Prec@1 53.500 (56.503)	Prec@5 86.500 (84.846)
Epoch: [89][4140/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.7117 (1.6122)	Prec@1 52.500 (56.498)	Prec@5 79.500 (84.840)
Epoch: [89][4150/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.5577 (1.6123)	Prec@1 58.000 (56.495)	Prec@5 85.500 (84.838)
Epoch: [89][4160/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.6667 (1.6122)	Prec@1 59.500 (56.495)	Prec@5 82.500 (84.838)
Epoch: [89][4170/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.5835 (1.6123)	Prec@1 57.000 (56.494)	Prec@5 85.500 (84.836)
Epoch: [89][4180/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.4739 (1.6124)	Prec@1 60.500 (56.491)	Prec@5 87.000 (84.836)
Epoch: [89][4190/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.6784 (1.6122)	Prec@1 55.000 (56.494)	Prec@5 87.000 (84.840)
Epoch: [89][4200/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.4278 (1.6121)	Prec@1 60.500 (56.496)	Prec@5 88.000 (84.841)
Epoch: [89][4210/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6440 (1.6121)	Prec@1 55.000 (56.496)	Prec@5 82.500 (84.841)
Epoch: [89][4220/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.5177 (1.6121)	Prec@1 60.000 (56.497)	Prec@5 86.000 (84.843)
Epoch: [89][4230/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6321 (1.6123)	Prec@1 53.500 (56.493)	Prec@5 87.000 (84.841)
Epoch: [89][4240/9018]	Time 0.606 (0.606)	Data 0.001 (0.001)	Loss 1.6237 (1.6122)	Prec@1 53.500 (56.495)	Prec@5 86.000 (84.842)
Epoch: [89][4250/9018]	Time 0.615 (0.606)	Data 0.001 (0.001)	Loss 1.5185 (1.6121)	Prec@1 61.500 (56.498)	Prec@5 87.000 (84.845)
Epoch: [89][4260/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.5633 (1.6121)	Prec@1 63.500 (56.499)	Prec@5 80.500 (84.841)
Epoch: [89][4270/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.5360 (1.6120)	Prec@1 59.000 (56.500)	Prec@5 86.000 (84.844)
Epoch: [89][4280/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.6657 (1.6118)	Prec@1 53.500 (56.504)	Prec@5 83.500 (84.844)
Epoch: [89][4290/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.6177 (1.6119)	Prec@1 57.000 (56.501)	Prec@5 85.500 (84.843)
Epoch: [89][4300/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.5305 (1.6120)	Prec@1 61.500 (56.500)	Prec@5 85.500 (84.845)
Epoch: [89][4310/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.6322 (1.6120)	Prec@1 58.000 (56.500)	Prec@5 84.500 (84.843)
Epoch: [89][4320/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.6477 (1.6121)	Prec@1 54.000 (56.496)	Prec@5 83.500 (84.842)
Epoch: [89][4330/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 1.4353 (1.6119)	Prec@1 61.000 (56.503)	Prec@5 87.500 (84.844)
Epoch: [89][4340/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.5231 (1.6120)	Prec@1 59.000 (56.502)	Prec@5 83.000 (84.842)
Epoch: [89][4350/9018]	Time 0.725 (0.606)	Data 0.001 (0.001)	Loss 1.6825 (1.6119)	Prec@1 52.500 (56.503)	Prec@5 82.000 (84.844)
Epoch: [89][4360/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.7100 (1.6120)	Prec@1 52.000 (56.503)	Prec@5 82.500 (84.845)
Epoch: [89][4370/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.5858 (1.6119)	Prec@1 58.500 (56.505)	Prec@5 84.000 (84.845)
Epoch: [89][4380/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.6577 (1.6119)	Prec@1 52.500 (56.506)	Prec@5 88.000 (84.845)
Epoch: [89][4390/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.5514 (1.6118)	Prec@1 53.500 (56.506)	Prec@5 87.000 (84.848)
Epoch: [89][4400/9018]	Time 0.714 (0.606)	Data 0.001 (0.001)	Loss 1.5976 (1.6119)	Prec@1 52.500 (56.504)	Prec@5 83.000 (84.845)
Epoch: [89][4410/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.7086 (1.6120)	Prec@1 53.000 (56.505)	Prec@5 82.500 (84.841)
Epoch: [89][4420/9018]	Time 0.614 (0.606)	Data 0.001 (0.001)	Loss 1.4856 (1.6121)	Prec@1 60.500 (56.505)	Prec@5 88.500 (84.836)
Epoch: [89][4430/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.6576 (1.6120)	Prec@1 56.000 (56.505)	Prec@5 86.000 (84.841)
Epoch: [89][4440/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.6648 (1.6119)	Prec@1 53.000 (56.508)	Prec@5 86.000 (84.844)
Epoch: [89][4450/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.6409 (1.6118)	Prec@1 52.000 (56.509)	Prec@5 83.000 (84.847)
Epoch: [89][4460/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.6114 (1.6118)	Prec@1 55.000 (56.507)	Prec@5 84.000 (84.846)
Epoch: [89][4470/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 1.5269 (1.6117)	Prec@1 60.500 (56.507)	Prec@5 87.000 (84.849)
Epoch: [89][4480/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.5192 (1.6116)	Prec@1 56.000 (56.510)	Prec@5 87.500 (84.850)
Epoch: [89][4490/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.6735 (1.6116)	Prec@1 52.500 (56.509)	Prec@5 82.500 (84.851)
Epoch: [89][4500/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.6212 (1.6117)	Prec@1 56.500 (56.508)	Prec@5 85.500 (84.848)
Epoch: [89][4510/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.7641 (1.6118)	Prec@1 55.000 (56.505)	Prec@5 83.500 (84.847)
Epoch: [89][4520/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.7240 (1.6117)	Prec@1 54.500 (56.505)	Prec@5 82.500 (84.848)
Epoch: [89][4530/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.5626 (1.6118)	Prec@1 60.500 (56.504)	Prec@5 83.000 (84.845)
Epoch: [89][4540/9018]	Time 0.608 (0.606)	Data 0.001 (0.001)	Loss 1.7587 (1.6119)	Prec@1 54.500 (56.506)	Prec@5 81.500 (84.843)
Epoch: [89][4550/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.6691 (1.6120)	Prec@1 54.500 (56.507)	Prec@5 85.000 (84.843)
Epoch: [89][4560/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.5815 (1.6119)	Prec@1 56.000 (56.507)	Prec@5 85.500 (84.844)
Epoch: [89][4570/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.4549 (1.6120)	Prec@1 60.500 (56.504)	Prec@5 85.500 (84.843)
Epoch: [89][4580/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.6326 (1.6121)	Prec@1 54.500 (56.501)	Prec@5 84.500 (84.842)
Epoch: [89][4590/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.4685 (1.6119)	Prec@1 57.000 (56.501)	Prec@5 87.000 (84.844)
Epoch: [89][4600/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.6422 (1.6119)	Prec@1 54.000 (56.502)	Prec@5 83.000 (84.843)
Epoch: [89][4610/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.5848 (1.6120)	Prec@1 54.500 (56.497)	Prec@5 84.500 (84.845)
Epoch: [89][4620/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.5251 (1.6120)	Prec@1 59.500 (56.497)	Prec@5 85.000 (84.846)
Epoch: [89][4630/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.6965 (1.6120)	Prec@1 57.500 (56.495)	Prec@5 82.000 (84.847)
Epoch: [89][4640/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.5734 (1.6120)	Prec@1 58.500 (56.497)	Prec@5 86.000 (84.845)
Epoch: [89][4650/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.4656 (1.6120)	Prec@1 61.000 (56.499)	Prec@5 84.000 (84.843)
Epoch: [89][4660/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.6170 (1.6120)	Prec@1 55.500 (56.499)	Prec@5 83.500 (84.842)
Epoch: [89][4670/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.6189 (1.6120)	Prec@1 56.000 (56.501)	Prec@5 84.000 (84.841)
Epoch: [89][4680/9018]	Time 0.719 (0.606)	Data 0.001 (0.001)	Loss 1.7121 (1.6121)	Prec@1 51.000 (56.499)	Prec@5 83.000 (84.838)
Epoch: [89][4690/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.7403 (1.6120)	Prec@1 53.500 (56.501)	Prec@5 82.500 (84.840)
Epoch: [89][4700/9018]	Time 0.591 (0.606)	Data 0.001 (0.001)	Loss 1.5699 (1.6120)	Prec@1 58.000 (56.502)	Prec@5 82.500 (84.838)
Epoch: [89][4710/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.7750 (1.6120)	Prec@1 51.500 (56.500)	Prec@5 79.500 (84.836)
Epoch: [89][4720/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.5782 (1.6120)	Prec@1 56.500 (56.499)	Prec@5 86.500 (84.837)
Epoch: [89][4730/9018]	Time 0.770 (0.606)	Data 0.001 (0.001)	Loss 1.7707 (1.6122)	Prec@1 52.500 (56.496)	Prec@5 81.500 (84.835)
Epoch: [89][4740/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.5355 (1.6123)	Prec@1 55.000 (56.494)	Prec@5 86.000 (84.833)
Epoch: [89][4750/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.7241 (1.6125)	Prec@1 50.500 (56.488)	Prec@5 84.500 (84.829)
Epoch: [89][4760/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.5403 (1.6125)	Prec@1 59.000 (56.490)	Prec@5 88.000 (84.829)
Epoch: [89][4770/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.7476 (1.6126)	Prec@1 54.000 (56.485)	Prec@5 82.500 (84.827)
Epoch: [89][4780/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 1.5208 (1.6127)	Prec@1 58.500 (56.482)	Prec@5 85.000 (84.825)
Epoch: [89][4790/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.7656 (1.6128)	Prec@1 52.000 (56.483)	Prec@5 80.500 (84.822)
Epoch: [89][4800/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.8090 (1.6129)	Prec@1 54.000 (56.480)	Prec@5 82.000 (84.819)
Epoch: [89][4810/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.4871 (1.6129)	Prec@1 57.500 (56.480)	Prec@5 86.500 (84.817)
Epoch: [89][4820/9018]	Time 0.613 (0.606)	Data 0.001 (0.001)	Loss 1.7499 (1.6130)	Prec@1 54.000 (56.476)	Prec@5 83.000 (84.818)
Epoch: [89][4830/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.5654 (1.6130)	Prec@1 57.500 (56.476)	Prec@5 85.500 (84.819)
Epoch: [89][4840/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6335 (1.6130)	Prec@1 59.000 (56.479)	Prec@5 85.500 (84.820)
Epoch: [89][4850/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.6176 (1.6130)	Prec@1 56.500 (56.478)	Prec@5 88.000 (84.819)
Epoch: [89][4860/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.5812 (1.6131)	Prec@1 54.000 (56.477)	Prec@5 85.000 (84.816)
Epoch: [89][4870/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.4420 (1.6131)	Prec@1 60.000 (56.477)	Prec@5 86.500 (84.816)
Epoch: [89][4880/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.4721 (1.6131)	Prec@1 59.500 (56.475)	Prec@5 87.500 (84.817)
Epoch: [89][4890/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 1.3816 (1.6130)	Prec@1 64.500 (56.477)	Prec@5 90.000 (84.818)
Epoch: [89][4900/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.6193 (1.6130)	Prec@1 58.000 (56.480)	Prec@5 85.500 (84.817)
Epoch: [89][4910/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6664 (1.6129)	Prec@1 57.000 (56.484)	Prec@5 84.500 (84.818)
Epoch: [89][4920/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.5785 (1.6129)	Prec@1 56.000 (56.484)	Prec@5 87.000 (84.818)
Epoch: [89][4930/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.7068 (1.6129)	Prec@1 54.000 (56.482)	Prec@5 84.000 (84.817)
Epoch: [89][4940/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6945 (1.6130)	Prec@1 55.500 (56.484)	Prec@5 84.500 (84.817)
Epoch: [89][4950/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.7126 (1.6129)	Prec@1 54.000 (56.488)	Prec@5 83.500 (84.818)
Epoch: [89][4960/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 1.8486 (1.6131)	Prec@1 51.500 (56.483)	Prec@5 83.000 (84.814)
Epoch: [89][4970/9018]	Time 0.610 (0.606)	Data 0.001 (0.001)	Loss 1.5050 (1.6129)	Prec@1 60.500 (56.489)	Prec@5 88.000 (84.817)
Epoch: [89][4980/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.9217 (1.6131)	Prec@1 48.500 (56.485)	Prec@5 80.000 (84.814)
Epoch: [89][4990/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.6652 (1.6132)	Prec@1 55.000 (56.483)	Prec@5 84.000 (84.813)
Epoch: [89][5000/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.4613 (1.6132)	Prec@1 63.000 (56.481)	Prec@5 89.000 (84.811)
Epoch: [89][5010/9018]	Time 0.725 (0.606)	Data 0.001 (0.001)	Loss 1.7713 (1.6133)	Prec@1 52.000 (56.477)	Prec@5 82.000 (84.810)
Epoch: [89][5020/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.7305 (1.6132)	Prec@1 56.000 (56.478)	Prec@5 83.500 (84.810)
Epoch: [89][5030/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.4905 (1.6131)	Prec@1 57.500 (56.479)	Prec@5 89.000 (84.811)
Epoch: [89][5040/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.7757 (1.6132)	Prec@1 56.500 (56.479)	Prec@5 81.000 (84.810)
Epoch: [89][5050/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.4730 (1.6132)	Prec@1 59.500 (56.478)	Prec@5 87.500 (84.812)
Epoch: [89][5060/9018]	Time 0.727 (0.606)	Data 0.001 (0.001)	Loss 1.7246 (1.6132)	Prec@1 53.500 (56.476)	Prec@5 83.500 (84.811)
Epoch: [89][5070/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.4519 (1.6133)	Prec@1 60.000 (56.473)	Prec@5 87.000 (84.812)
Epoch: [89][5080/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.3517 (1.6133)	Prec@1 63.500 (56.474)	Prec@5 90.500 (84.811)
Epoch: [89][5090/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.5770 (1.6135)	Prec@1 55.500 (56.468)	Prec@5 85.500 (84.809)
Epoch: [89][5100/9018]	Time 0.615 (0.606)	Data 0.001 (0.001)	Loss 1.5794 (1.6134)	Prec@1 58.500 (56.467)	Prec@5 87.000 (84.809)
Epoch: [89][5110/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.6019 (1.6133)	Prec@1 57.500 (56.470)	Prec@5 87.000 (84.812)
Epoch: [89][5120/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.3857 (1.6133)	Prec@1 63.000 (56.472)	Prec@5 89.000 (84.813)
Epoch: [89][5130/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.8780 (1.6133)	Prec@1 46.500 (56.470)	Prec@5 82.500 (84.812)
Epoch: [89][5140/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.5371 (1.6134)	Prec@1 59.500 (56.468)	Prec@5 89.500 (84.813)
Epoch: [89][5150/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.6276 (1.6136)	Prec@1 56.500 (56.465)	Prec@5 84.500 (84.809)
Epoch: [89][5160/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.8606 (1.6136)	Prec@1 47.000 (56.465)	Prec@5 83.500 (84.811)
Epoch: [89][5170/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.5426 (1.6136)	Prec@1 56.000 (56.461)	Prec@5 86.500 (84.811)
Epoch: [89][5180/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6230 (1.6136)	Prec@1 58.500 (56.463)	Prec@5 83.500 (84.811)
Epoch: [89][5190/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.4067 (1.6136)	Prec@1 62.500 (56.462)	Prec@5 87.500 (84.810)
Epoch: [89][5200/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.7493 (1.6137)	Prec@1 51.500 (56.461)	Prec@5 83.500 (84.808)
Epoch: [89][5210/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.5286 (1.6137)	Prec@1 56.500 (56.462)	Prec@5 86.500 (84.808)
Epoch: [89][5220/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.7302 (1.6137)	Prec@1 57.000 (56.462)	Prec@5 81.000 (84.805)
Epoch: [89][5230/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.7152 (1.6136)	Prec@1 58.500 (56.466)	Prec@5 78.500 (84.804)
Epoch: [89][5240/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.6953 (1.6136)	Prec@1 54.000 (56.468)	Prec@5 82.500 (84.804)
Epoch: [89][5250/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.5453 (1.6137)	Prec@1 57.000 (56.466)	Prec@5 89.500 (84.803)
Epoch: [89][5260/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.6126 (1.6136)	Prec@1 55.500 (56.466)	Prec@5 83.500 (84.806)
Epoch: [89][5270/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.6870 (1.6137)	Prec@1 52.500 (56.463)	Prec@5 83.000 (84.805)
Epoch: [89][5280/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.4543 (1.6136)	Prec@1 59.000 (56.466)	Prec@5 89.000 (84.806)
Epoch: [89][5290/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.5134 (1.6136)	Prec@1 62.500 (56.467)	Prec@5 86.500 (84.806)
Epoch: [89][5300/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.6018 (1.6136)	Prec@1 58.000 (56.468)	Prec@5 85.000 (84.804)
Epoch: [89][5310/9018]	Time 0.604 (0.606)	Data 0.002 (0.001)	Loss 1.5652 (1.6136)	Prec@1 60.500 (56.470)	Prec@5 86.500 (84.806)
Epoch: [89][5320/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.7717 (1.6136)	Prec@1 52.500 (56.469)	Prec@5 81.500 (84.804)
Epoch: [89][5330/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6664 (1.6136)	Prec@1 58.500 (56.471)	Prec@5 85.000 (84.804)
Epoch: [89][5340/9018]	Time 0.714 (0.606)	Data 0.001 (0.001)	Loss 1.5933 (1.6136)	Prec@1 58.500 (56.469)	Prec@5 83.000 (84.804)
Epoch: [89][5350/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.7153 (1.6136)	Prec@1 56.500 (56.471)	Prec@5 84.000 (84.804)
Epoch: [89][5360/9018]	Time 0.591 (0.606)	Data 0.001 (0.001)	Loss 1.5037 (1.6137)	Prec@1 61.500 (56.470)	Prec@5 85.000 (84.801)
Epoch: [89][5370/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.5711 (1.6136)	Prec@1 57.000 (56.470)	Prec@5 85.000 (84.804)
Epoch: [89][5380/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.4175 (1.6136)	Prec@1 58.000 (56.471)	Prec@5 88.500 (84.805)
Epoch: [89][5390/9018]	Time 0.715 (0.606)	Data 0.001 (0.001)	Loss 1.5740 (1.6136)	Prec@1 60.500 (56.473)	Prec@5 84.500 (84.805)
Epoch: [89][5400/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.5204 (1.6136)	Prec@1 59.500 (56.471)	Prec@5 85.500 (84.805)
Epoch: [89][5410/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.5976 (1.6137)	Prec@1 56.500 (56.469)	Prec@5 83.000 (84.803)
Epoch: [89][5420/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6259 (1.6138)	Prec@1 57.000 (56.467)	Prec@5 85.000 (84.802)
Epoch: [89][5430/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.5798 (1.6138)	Prec@1 56.500 (56.466)	Prec@5 87.000 (84.803)
Epoch: [89][5440/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.6805 (1.6137)	Prec@1 54.000 (56.468)	Prec@5 85.000 (84.804)
Epoch: [89][5450/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.8094 (1.6138)	Prec@1 53.000 (56.465)	Prec@5 78.500 (84.802)
Epoch: [89][5460/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.7465 (1.6138)	Prec@1 53.500 (56.464)	Prec@5 83.500 (84.803)
Epoch: [89][5470/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.5240 (1.6139)	Prec@1 59.500 (56.462)	Prec@5 85.000 (84.801)
Epoch: [89][5480/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6481 (1.6139)	Prec@1 55.500 (56.461)	Prec@5 86.000 (84.802)
Epoch: [89][5490/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.4703 (1.6140)	Prec@1 63.000 (56.458)	Prec@5 85.000 (84.803)
Epoch: [89][5500/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.4996 (1.6141)	Prec@1 61.000 (56.453)	Prec@5 87.000 (84.800)
Epoch: [89][5510/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.5901 (1.6139)	Prec@1 58.500 (56.458)	Prec@5 87.500 (84.805)
Epoch: [89][5520/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6609 (1.6140)	Prec@1 57.500 (56.458)	Prec@5 83.500 (84.803)
Epoch: [89][5530/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.5576 (1.6140)	Prec@1 56.500 (56.458)	Prec@5 84.000 (84.803)
Epoch: [89][5540/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.4801 (1.6140)	Prec@1 62.500 (56.459)	Prec@5 86.500 (84.806)
Epoch: [89][5550/9018]	Time 0.590 (0.606)	Data 0.001 (0.001)	Loss 1.4473 (1.6140)	Prec@1 59.500 (56.460)	Prec@5 89.000 (84.805)
Epoch: [89][5560/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.5965 (1.6142)	Prec@1 55.000 (56.456)	Prec@5 85.000 (84.801)
Epoch: [89][5570/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.6036 (1.6142)	Prec@1 57.000 (56.456)	Prec@5 84.500 (84.799)
Epoch: [89][5580/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.5232 (1.6142)	Prec@1 60.000 (56.457)	Prec@5 85.000 (84.797)
Epoch: [89][5590/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.6369 (1.6143)	Prec@1 56.000 (56.455)	Prec@5 85.000 (84.796)
Epoch: [89][5600/9018]	Time 0.590 (0.606)	Data 0.001 (0.001)	Loss 1.7482 (1.6144)	Prec@1 55.000 (56.456)	Prec@5 81.500 (84.795)
Epoch: [89][5610/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.6319 (1.6144)	Prec@1 53.000 (56.456)	Prec@5 83.000 (84.794)
Epoch: [89][5620/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.5326 (1.6142)	Prec@1 58.000 (56.463)	Prec@5 82.500 (84.795)
Epoch: [89][5630/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.8289 (1.6142)	Prec@1 52.000 (56.461)	Prec@5 82.500 (84.797)
Epoch: [89][5640/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.6447 (1.6141)	Prec@1 56.500 (56.462)	Prec@5 81.000 (84.797)
Epoch: [89][5650/9018]	Time 0.590 (0.606)	Data 0.001 (0.001)	Loss 1.6313 (1.6142)	Prec@1 56.000 (56.462)	Prec@5 83.000 (84.794)
Epoch: [89][5660/9018]	Time 0.590 (0.606)	Data 0.001 (0.001)	Loss 1.7367 (1.6143)	Prec@1 53.500 (56.461)	Prec@5 83.000 (84.792)
Epoch: [89][5670/9018]	Time 0.717 (0.606)	Data 0.001 (0.001)	Loss 1.7805 (1.6142)	Prec@1 51.000 (56.463)	Prec@5 82.000 (84.793)
Epoch: [89][5680/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.5321 (1.6143)	Prec@1 60.500 (56.462)	Prec@5 86.000 (84.793)
Epoch: [89][5690/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.5912 (1.6143)	Prec@1 59.500 (56.462)	Prec@5 87.000 (84.794)
Epoch: [89][5700/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.7344 (1.6142)	Prec@1 54.000 (56.464)	Prec@5 81.500 (84.794)
Epoch: [89][5710/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.5438 (1.6142)	Prec@1 56.500 (56.465)	Prec@5 88.500 (84.794)
Epoch: [89][5720/9018]	Time 0.715 (0.606)	Data 0.001 (0.001)	Loss 1.6820 (1.6141)	Prec@1 52.500 (56.465)	Prec@5 85.000 (84.795)
Epoch: [89][5730/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.6518 (1.6142)	Prec@1 55.500 (56.462)	Prec@5 84.000 (84.795)
Epoch: [89][5740/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6964 (1.6144)	Prec@1 56.000 (56.459)	Prec@5 86.000 (84.793)
Epoch: [89][5750/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6473 (1.6144)	Prec@1 55.500 (56.461)	Prec@5 83.000 (84.793)
Epoch: [89][5760/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.3895 (1.6144)	Prec@1 60.500 (56.460)	Prec@5 90.000 (84.793)
Epoch: [89][5770/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.4747 (1.6144)	Prec@1 60.500 (56.460)	Prec@5 87.000 (84.792)
Epoch: [89][5780/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.6807 (1.6145)	Prec@1 53.500 (56.459)	Prec@5 85.000 (84.790)
Epoch: [89][5790/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.6547 (1.6145)	Prec@1 49.000 (56.456)	Prec@5 83.000 (84.789)
Epoch: [89][5800/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.6637 (1.6146)	Prec@1 56.500 (56.456)	Prec@5 84.500 (84.787)
Epoch: [89][5810/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.6900 (1.6146)	Prec@1 51.000 (56.456)	Prec@5 85.500 (84.787)
Epoch: [89][5820/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.7046 (1.6147)	Prec@1 59.000 (56.454)	Prec@5 84.000 (84.786)
Epoch: [89][5830/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.5150 (1.6147)	Prec@1 59.500 (56.456)	Prec@5 87.000 (84.786)
Epoch: [89][5840/9018]	Time 0.590 (0.606)	Data 0.001 (0.001)	Loss 1.4771 (1.6147)	Prec@1 57.500 (56.456)	Prec@5 89.000 (84.786)
Epoch: [89][5850/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.4273 (1.6147)	Prec@1 61.000 (56.455)	Prec@5 87.500 (84.786)
Epoch: [89][5860/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.5434 (1.6147)	Prec@1 56.000 (56.455)	Prec@5 88.500 (84.788)
Epoch: [89][5870/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.7018 (1.6146)	Prec@1 57.500 (56.459)	Prec@5 84.500 (84.789)
Epoch: [89][5880/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.7275 (1.6147)	Prec@1 53.000 (56.456)	Prec@5 83.000 (84.787)
Epoch: [89][5890/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.4930 (1.6146)	Prec@1 59.000 (56.459)	Prec@5 87.500 (84.789)
Epoch: [89][5900/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.8456 (1.6147)	Prec@1 50.000 (56.456)	Prec@5 82.000 (84.788)
Epoch: [89][5910/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.8248 (1.6148)	Prec@1 49.000 (56.453)	Prec@5 79.500 (84.787)
Epoch: [89][5920/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.8625 (1.6148)	Prec@1 49.000 (56.453)	Prec@5 83.000 (84.788)
Epoch: [89][5930/9018]	Time 0.607 (0.606)	Data 0.001 (0.001)	Loss 1.6088 (1.6148)	Prec@1 59.500 (56.455)	Prec@5 83.500 (84.787)
Epoch: [89][5940/9018]	Time 0.607 (0.606)	Data 0.001 (0.001)	Loss 1.5195 (1.6148)	Prec@1 55.500 (56.455)	Prec@5 85.000 (84.785)
Epoch: [89][5950/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.7343 (1.6149)	Prec@1 53.500 (56.455)	Prec@5 83.000 (84.784)
Epoch: [89][5960/9018]	Time 0.590 (0.606)	Data 0.001 (0.001)	Loss 1.8170 (1.6148)	Prec@1 52.000 (56.455)	Prec@5 80.500 (84.784)
Epoch: [89][5970/9018]	Time 0.591 (0.606)	Data 0.001 (0.001)	Loss 1.4919 (1.6149)	Prec@1 59.500 (56.455)	Prec@5 85.500 (84.782)
Epoch: [89][5980/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.6553 (1.6150)	Prec@1 56.000 (56.451)	Prec@5 86.000 (84.782)
Epoch: [89][5990/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.5480 (1.6149)	Prec@1 59.500 (56.454)	Prec@5 83.500 (84.782)
Epoch: [89][6000/9018]	Time 0.729 (0.606)	Data 0.001 (0.001)	Loss 1.7209 (1.6150)	Prec@1 56.500 (56.451)	Prec@5 84.000 (84.780)
Epoch: [89][6010/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.5857 (1.6150)	Prec@1 59.500 (56.451)	Prec@5 85.500 (84.781)
Epoch: [89][6020/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.9381 (1.6151)	Prec@1 48.000 (56.451)	Prec@5 80.500 (84.781)
Epoch: [89][6030/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.6028 (1.6151)	Prec@1 58.500 (56.451)	Prec@5 84.000 (84.779)
Epoch: [89][6040/9018]	Time 0.619 (0.606)	Data 0.001 (0.001)	Loss 1.4194 (1.6151)	Prec@1 61.500 (56.451)	Prec@5 86.000 (84.778)
Epoch: [89][6050/9018]	Time 0.726 (0.606)	Data 0.001 (0.001)	Loss 1.6923 (1.6150)	Prec@1 54.500 (56.450)	Prec@5 84.000 (84.780)
Epoch: [89][6060/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.6790 (1.6150)	Prec@1 53.500 (56.446)	Prec@5 83.500 (84.781)
Epoch: [89][6070/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.5280 (1.6150)	Prec@1 59.000 (56.450)	Prec@5 85.500 (84.783)
Epoch: [89][6080/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6428 (1.6150)	Prec@1 53.500 (56.448)	Prec@5 85.000 (84.782)
Epoch: [89][6090/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.5966 (1.6150)	Prec@1 59.000 (56.448)	Prec@5 85.000 (84.782)
Epoch: [89][6100/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.6477 (1.6150)	Prec@1 57.000 (56.447)	Prec@5 85.500 (84.783)
Epoch: [89][6110/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.5740 (1.6150)	Prec@1 57.500 (56.447)	Prec@5 86.500 (84.783)
Epoch: [89][6120/9018]	Time 0.608 (0.606)	Data 0.001 (0.001)	Loss 1.6225 (1.6150)	Prec@1 54.000 (56.447)	Prec@5 84.000 (84.783)
Epoch: [89][6130/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.7764 (1.6150)	Prec@1 53.000 (56.447)	Prec@5 83.500 (84.784)
Epoch: [89][6140/9018]	Time 0.611 (0.606)	Data 0.001 (0.001)	Loss 1.6582 (1.6150)	Prec@1 57.000 (56.445)	Prec@5 81.500 (84.784)
Epoch: [89][6150/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.8734 (1.6151)	Prec@1 47.500 (56.442)	Prec@5 81.000 (84.783)
Epoch: [89][6160/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.4869 (1.6151)	Prec@1 58.500 (56.441)	Prec@5 88.000 (84.785)
Epoch: [89][6170/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.6630 (1.6150)	Prec@1 50.500 (56.439)	Prec@5 85.500 (84.786)
Epoch: [89][6180/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.8763 (1.6151)	Prec@1 52.000 (56.436)	Prec@5 81.000 (84.785)
Epoch: [89][6190/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.5866 (1.6151)	Prec@1 58.000 (56.436)	Prec@5 87.500 (84.786)
Epoch: [89][6200/9018]	Time 0.621 (0.606)	Data 0.001 (0.001)	Loss 1.4877 (1.6151)	Prec@1 58.500 (56.435)	Prec@5 86.500 (84.784)
Epoch: [89][6210/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.6328 (1.6152)	Prec@1 53.500 (56.434)	Prec@5 84.500 (84.783)
Epoch: [89][6220/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.8971 (1.6152)	Prec@1 54.500 (56.435)	Prec@5 79.000 (84.781)
Epoch: [89][6230/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 1.7050 (1.6154)	Prec@1 51.500 (56.430)	Prec@5 84.000 (84.779)
Epoch: [89][6240/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.6138 (1.6153)	Prec@1 55.500 (56.431)	Prec@5 85.000 (84.780)
Epoch: [89][6250/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.5247 (1.6153)	Prec@1 59.500 (56.433)	Prec@5 87.500 (84.782)
Epoch: [89][6260/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.6284 (1.6152)	Prec@1 56.000 (56.434)	Prec@5 84.000 (84.783)
Epoch: [89][6270/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6316 (1.6152)	Prec@1 56.000 (56.432)	Prec@5 82.500 (84.782)
Epoch: [89][6280/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.7623 (1.6152)	Prec@1 53.500 (56.432)	Prec@5 80.000 (84.781)
Epoch: [89][6290/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.6180 (1.6151)	Prec@1 57.000 (56.431)	Prec@5 83.000 (84.783)
Epoch: [89][6300/9018]	Time 0.588 (0.606)	Data 0.001 (0.001)	Loss 1.7027 (1.6152)	Prec@1 52.000 (56.430)	Prec@5 84.500 (84.783)
Epoch: [89][6310/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.6208 (1.6151)	Prec@1 53.000 (56.429)	Prec@5 88.500 (84.786)
Epoch: [89][6320/9018]	Time 0.591 (0.606)	Data 0.001 (0.001)	Loss 1.5115 (1.6151)	Prec@1 60.000 (56.428)	Prec@5 86.500 (84.785)
Epoch: [89][6330/9018]	Time 0.727 (0.606)	Data 0.001 (0.001)	Loss 1.6121 (1.6152)	Prec@1 53.000 (56.427)	Prec@5 84.500 (84.784)
Epoch: [89][6340/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.7235 (1.6152)	Prec@1 56.000 (56.426)	Prec@5 82.000 (84.783)
Epoch: [89][6350/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.4486 (1.6152)	Prec@1 57.500 (56.427)	Prec@5 88.500 (84.785)
Epoch: [89][6360/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.7957 (1.6152)	Prec@1 54.000 (56.428)	Prec@5 81.000 (84.784)
Epoch: [89][6370/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.7162 (1.6152)	Prec@1 50.500 (56.431)	Prec@5 84.500 (84.784)
Epoch: [89][6380/9018]	Time 0.731 (0.606)	Data 0.001 (0.001)	Loss 1.6281 (1.6154)	Prec@1 55.000 (56.427)	Prec@5 85.000 (84.782)
Epoch: [89][6390/9018]	Time 0.623 (0.606)	Data 0.001 (0.001)	Loss 1.5930 (1.6153)	Prec@1 54.000 (56.425)	Prec@5 88.000 (84.784)
Epoch: [89][6400/9018]	Time 0.591 (0.606)	Data 0.001 (0.001)	Loss 1.6506 (1.6153)	Prec@1 54.000 (56.426)	Prec@5 83.500 (84.785)
Epoch: [89][6410/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.4941 (1.6154)	Prec@1 64.500 (56.426)	Prec@5 86.000 (84.783)
Epoch: [89][6420/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.5930 (1.6153)	Prec@1 58.500 (56.428)	Prec@5 83.500 (84.784)
Epoch: [89][6430/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.5930 (1.6153)	Prec@1 58.500 (56.428)	Prec@5 83.000 (84.784)
Epoch: [89][6440/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.5863 (1.6152)	Prec@1 60.500 (56.429)	Prec@5 82.500 (84.783)
Epoch: [89][6450/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.3079 (1.6152)	Prec@1 61.500 (56.431)	Prec@5 89.500 (84.784)
Epoch: [89][6460/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.4093 (1.6151)	Prec@1 63.000 (56.429)	Prec@5 88.000 (84.784)
Epoch: [89][6470/9018]	Time 0.591 (0.606)	Data 0.001 (0.001)	Loss 1.6846 (1.6151)	Prec@1 54.500 (56.429)	Prec@5 84.000 (84.786)
Epoch: [89][6480/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.7769 (1.6151)	Prec@1 56.500 (56.430)	Prec@5 85.500 (84.786)
Epoch: [89][6490/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.7637 (1.6151)	Prec@1 53.000 (56.431)	Prec@5 84.000 (84.785)
Epoch: [89][6500/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.7071 (1.6151)	Prec@1 60.000 (56.431)	Prec@5 81.000 (84.785)
Epoch: [89][6510/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.5059 (1.6152)	Prec@1 61.000 (56.429)	Prec@5 89.500 (84.784)
Epoch: [89][6520/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.4894 (1.6152)	Prec@1 60.000 (56.429)	Prec@5 87.000 (84.783)
Epoch: [89][6530/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6892 (1.6152)	Prec@1 56.000 (56.430)	Prec@5 83.500 (84.784)
Epoch: [89][6540/9018]	Time 0.588 (0.606)	Data 0.001 (0.001)	Loss 1.6657 (1.6151)	Prec@1 54.000 (56.431)	Prec@5 82.500 (84.784)
Epoch: [89][6550/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.5975 (1.6151)	Prec@1 53.500 (56.431)	Prec@5 84.500 (84.784)
Epoch: [89][6560/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6241 (1.6151)	Prec@1 58.000 (56.431)	Prec@5 88.000 (84.785)
Epoch: [89][6570/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.7752 (1.6151)	Prec@1 51.500 (56.430)	Prec@5 80.500 (84.784)
Epoch: [89][6580/9018]	Time 0.618 (0.606)	Data 0.001 (0.001)	Loss 1.6557 (1.6152)	Prec@1 55.500 (56.426)	Prec@5 84.500 (84.784)
Epoch: [89][6590/9018]	Time 0.618 (0.606)	Data 0.001 (0.001)	Loss 1.6677 (1.6152)	Prec@1 57.500 (56.428)	Prec@5 85.500 (84.785)
Epoch: [89][6600/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.4898 (1.6151)	Prec@1 62.500 (56.429)	Prec@5 85.500 (84.785)
Epoch: [89][6610/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.5587 (1.6151)	Prec@1 55.500 (56.429)	Prec@5 85.000 (84.787)
Epoch: [89][6620/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.5280 (1.6150)	Prec@1 56.000 (56.432)	Prec@5 87.000 (84.788)
Epoch: [89][6630/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 1.5197 (1.6152)	Prec@1 59.500 (56.428)	Prec@5 87.000 (84.786)
Epoch: [89][6640/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.6461 (1.6151)	Prec@1 57.500 (56.431)	Prec@5 86.000 (84.788)
Epoch: [89][6650/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.6771 (1.6151)	Prec@1 55.500 (56.431)	Prec@5 83.500 (84.787)
Epoch: [89][6660/9018]	Time 0.728 (0.606)	Data 0.001 (0.001)	Loss 1.5859 (1.6152)	Prec@1 54.500 (56.429)	Prec@5 86.000 (84.787)
Epoch: [89][6670/9018]	Time 0.606 (0.606)	Data 0.001 (0.001)	Loss 1.5067 (1.6153)	Prec@1 58.500 (56.427)	Prec@5 85.500 (84.785)
Epoch: [89][6680/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.5558 (1.6154)	Prec@1 60.500 (56.425)	Prec@5 84.000 (84.782)
Epoch: [89][6690/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6423 (1.6154)	Prec@1 58.000 (56.426)	Prec@5 85.500 (84.781)
Epoch: [89][6700/9018]	Time 0.589 (0.606)	Data 0.001 (0.001)	Loss 1.7013 (1.6155)	Prec@1 54.000 (56.424)	Prec@5 82.500 (84.780)
Epoch: [89][6710/9018]	Time 0.745 (0.606)	Data 0.001 (0.001)	Loss 1.7076 (1.6156)	Prec@1 55.000 (56.423)	Prec@5 83.000 (84.778)
Epoch: [89][6720/9018]	Time 0.591 (0.606)	Data 0.001 (0.001)	Loss 1.6958 (1.6155)	Prec@1 57.500 (56.425)	Prec@5 83.500 (84.779)
Epoch: [89][6730/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.7982 (1.6156)	Prec@1 51.500 (56.425)	Prec@5 79.500 (84.777)
Epoch: [89][6740/9018]	Time 0.617 (0.606)	Data 0.001 (0.001)	Loss 1.7048 (1.6157)	Prec@1 55.000 (56.422)	Prec@5 86.500 (84.776)
Epoch: [89][6750/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.6917 (1.6157)	Prec@1 54.500 (56.419)	Prec@5 86.500 (84.777)
Epoch: [89][6760/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.4710 (1.6157)	Prec@1 65.000 (56.422)	Prec@5 86.000 (84.777)
Epoch: [89][6770/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.8963 (1.6157)	Prec@1 49.000 (56.420)	Prec@5 82.500 (84.777)
Epoch: [89][6780/9018]	Time 0.591 (0.606)	Data 0.001 (0.001)	Loss 1.5433 (1.6157)	Prec@1 56.000 (56.419)	Prec@5 83.500 (84.777)
Epoch: [89][6790/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.6271 (1.6157)	Prec@1 56.500 (56.419)	Prec@5 85.500 (84.776)
Epoch: [89][6800/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.7617 (1.6158)	Prec@1 54.000 (56.417)	Prec@5 81.000 (84.774)
Epoch: [89][6810/9018]	Time 0.611 (0.606)	Data 0.001 (0.001)	Loss 1.5987 (1.6158)	Prec@1 54.500 (56.416)	Prec@5 87.000 (84.774)
Epoch: [89][6820/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.5782 (1.6157)	Prec@1 59.500 (56.418)	Prec@5 85.000 (84.775)
Epoch: [89][6830/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.9033 (1.6158)	Prec@1 50.000 (56.416)	Prec@5 82.000 (84.774)
Epoch: [89][6840/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.8097 (1.6159)	Prec@1 50.500 (56.415)	Prec@5 82.500 (84.773)
Epoch: [89][6850/9018]	Time 0.619 (0.606)	Data 0.001 (0.001)	Loss 1.6061 (1.6159)	Prec@1 59.000 (56.415)	Prec@5 81.000 (84.772)
Epoch: [89][6860/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.4337 (1.6159)	Prec@1 61.500 (56.415)	Prec@5 87.500 (84.774)
Epoch: [89][6870/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.7783 (1.6160)	Prec@1 52.000 (56.412)	Prec@5 80.500 (84.773)
Epoch: [89][6880/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.7389 (1.6160)	Prec@1 56.000 (56.411)	Prec@5 81.500 (84.775)
Epoch: [89][6890/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6977 (1.6160)	Prec@1 53.000 (56.410)	Prec@5 81.500 (84.775)
Epoch: [89][6900/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.7369 (1.6160)	Prec@1 57.500 (56.410)	Prec@5 85.000 (84.775)
Epoch: [89][6910/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.3979 (1.6159)	Prec@1 62.000 (56.411)	Prec@5 88.000 (84.777)
Epoch: [89][6920/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 1.6773 (1.6158)	Prec@1 55.500 (56.413)	Prec@5 82.500 (84.778)
Epoch: [89][6930/9018]	Time 0.620 (0.606)	Data 0.001 (0.001)	Loss 1.5298 (1.6159)	Prec@1 58.500 (56.410)	Prec@5 88.500 (84.777)
Epoch: [89][6940/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.6920 (1.6159)	Prec@1 53.000 (56.410)	Prec@5 82.000 (84.778)
Epoch: [89][6950/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6599 (1.6160)	Prec@1 55.500 (56.407)	Prec@5 83.500 (84.775)
Epoch: [89][6960/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.5261 (1.6160)	Prec@1 55.000 (56.406)	Prec@5 86.500 (84.776)
Epoch: [89][6970/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.6085 (1.6160)	Prec@1 53.000 (56.404)	Prec@5 89.500 (84.778)
Epoch: [89][6980/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.4151 (1.6160)	Prec@1 57.000 (56.404)	Prec@5 86.500 (84.779)
Epoch: [89][6990/9018]	Time 0.701 (0.606)	Data 0.001 (0.001)	Loss 2.0313 (1.6160)	Prec@1 51.000 (56.404)	Prec@5 81.500 (84.780)
Epoch: [89][7000/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.4896 (1.6160)	Prec@1 59.000 (56.404)	Prec@5 86.500 (84.780)
Epoch: [89][7010/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.7456 (1.6161)	Prec@1 56.000 (56.401)	Prec@5 83.500 (84.778)
Epoch: [89][7020/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.4007 (1.6160)	Prec@1 56.500 (56.402)	Prec@5 88.500 (84.780)
Epoch: [89][7030/9018]	Time 0.637 (0.606)	Data 0.001 (0.001)	Loss 1.6275 (1.6160)	Prec@1 54.500 (56.402)	Prec@5 81.500 (84.778)
Epoch: [89][7040/9018]	Time 0.729 (0.606)	Data 0.001 (0.001)	Loss 1.6025 (1.6161)	Prec@1 59.000 (56.399)	Prec@5 85.000 (84.776)
Epoch: [89][7050/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.6413 (1.6161)	Prec@1 55.000 (56.399)	Prec@5 82.000 (84.777)
Epoch: [89][7060/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.7720 (1.6161)	Prec@1 53.500 (56.397)	Prec@5 80.000 (84.776)
Epoch: [89][7070/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.5762 (1.6161)	Prec@1 60.000 (56.398)	Prec@5 87.000 (84.778)
Epoch: [89][7080/9018]	Time 0.593 (0.606)	Data 0.001 (0.001)	Loss 1.6596 (1.6162)	Prec@1 56.000 (56.396)	Prec@5 83.000 (84.777)
Epoch: [89][7090/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.7531 (1.6162)	Prec@1 56.000 (56.393)	Prec@5 82.000 (84.776)
Epoch: [89][7100/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.6261 (1.6163)	Prec@1 56.500 (56.391)	Prec@5 87.500 (84.776)
Epoch: [89][7110/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.4251 (1.6163)	Prec@1 64.000 (56.390)	Prec@5 85.500 (84.775)
Epoch: [89][7120/9018]	Time 0.609 (0.606)	Data 0.002 (0.001)	Loss 1.8868 (1.6164)	Prec@1 48.000 (56.389)	Prec@5 81.000 (84.774)
Epoch: [89][7130/9018]	Time 0.615 (0.606)	Data 0.001 (0.001)	Loss 1.7446 (1.6164)	Prec@1 52.500 (56.386)	Prec@5 83.500 (84.773)
Epoch: [89][7140/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.7624 (1.6164)	Prec@1 47.500 (56.386)	Prec@5 85.000 (84.775)
Epoch: [89][7150/9018]	Time 0.597 (0.606)	Data 0.001 (0.001)	Loss 1.7350 (1.6165)	Prec@1 54.500 (56.384)	Prec@5 83.500 (84.774)
Epoch: [89][7160/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.6523 (1.6165)	Prec@1 55.500 (56.385)	Prec@5 82.500 (84.773)
Epoch: [89][7170/9018]	Time 0.607 (0.606)	Data 0.001 (0.001)	Loss 1.7231 (1.6165)	Prec@1 55.500 (56.384)	Prec@5 82.500 (84.772)
Epoch: [89][7180/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.5411 (1.6166)	Prec@1 55.000 (56.382)	Prec@5 86.500 (84.772)
Epoch: [89][7190/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.5181 (1.6166)	Prec@1 60.000 (56.382)	Prec@5 87.500 (84.770)
Epoch: [89][7200/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.6890 (1.6167)	Prec@1 58.000 (56.382)	Prec@5 82.500 (84.770)
Epoch: [89][7210/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.5765 (1.6166)	Prec@1 56.000 (56.383)	Prec@5 84.500 (84.770)
Epoch: [89][7220/9018]	Time 0.616 (0.606)	Data 0.001 (0.001)	Loss 1.5575 (1.6167)	Prec@1 58.000 (56.382)	Prec@5 88.500 (84.770)
Epoch: [89][7230/9018]	Time 0.630 (0.606)	Data 0.001 (0.001)	Loss 1.4268 (1.6166)	Prec@1 60.000 (56.382)	Prec@5 91.000 (84.771)
Epoch: [89][7240/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.7112 (1.6167)	Prec@1 58.000 (56.381)	Prec@5 84.000 (84.770)
Epoch: [89][7250/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.7601 (1.6168)	Prec@1 53.000 (56.379)	Prec@5 82.000 (84.768)
Epoch: [89][7260/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.7370 (1.6168)	Prec@1 54.000 (56.379)	Prec@5 85.000 (84.768)
Epoch: [89][7270/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.6358 (1.6168)	Prec@1 55.500 (56.377)	Prec@5 86.000 (84.769)
Epoch: [89][7280/9018]	Time 0.608 (0.606)	Data 0.001 (0.001)	Loss 1.4950 (1.6167)	Prec@1 58.500 (56.378)	Prec@5 86.500 (84.770)
Epoch: [89][7290/9018]	Time 0.605 (0.606)	Data 0.001 (0.001)	Loss 1.6954 (1.6168)	Prec@1 53.000 (56.377)	Prec@5 84.000 (84.770)
Epoch: [89][7300/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.7880 (1.6167)	Prec@1 54.000 (56.378)	Prec@5 79.500 (84.770)
Epoch: [89][7310/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.8716 (1.6168)	Prec@1 51.000 (56.378)	Prec@5 81.000 (84.769)
Epoch: [89][7320/9018]	Time 0.752 (0.606)	Data 0.001 (0.001)	Loss 1.6633 (1.6168)	Prec@1 53.500 (56.376)	Prec@5 85.500 (84.770)
Epoch: [89][7330/9018]	Time 0.602 (0.606)	Data 0.001 (0.001)	Loss 1.5845 (1.6169)	Prec@1 59.500 (56.376)	Prec@5 84.000 (84.770)
Epoch: [89][7340/9018]	Time 0.601 (0.606)	Data 0.001 (0.001)	Loss 1.7438 (1.6170)	Prec@1 54.500 (56.374)	Prec@5 83.500 (84.768)
Epoch: [89][7350/9018]	Time 0.619 (0.606)	Data 0.001 (0.001)	Loss 1.8057 (1.6171)	Prec@1 50.500 (56.372)	Prec@5 80.000 (84.766)
Epoch: [89][7360/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.5474 (1.6170)	Prec@1 61.000 (56.374)	Prec@5 89.500 (84.767)
Epoch: [89][7370/9018]	Time 0.728 (0.606)	Data 0.001 (0.001)	Loss 1.8114 (1.6170)	Prec@1 52.000 (56.372)	Prec@5 82.000 (84.767)
Epoch: [89][7380/9018]	Time 0.596 (0.606)	Data 0.001 (0.001)	Loss 1.7845 (1.6171)	Prec@1 53.500 (56.372)	Prec@5 82.500 (84.766)
Epoch: [89][7390/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.8263 (1.6171)	Prec@1 52.500 (56.372)	Prec@5 81.000 (84.765)
Epoch: [89][7400/9018]	Time 0.595 (0.606)	Data 0.001 (0.001)	Loss 1.6946 (1.6171)	Prec@1 54.500 (56.372)	Prec@5 84.500 (84.763)
Epoch: [89][7410/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.8467 (1.6171)	Prec@1 50.000 (56.373)	Prec@5 82.000 (84.763)
Epoch: [89][7420/9018]	Time 0.603 (0.606)	Data 0.001 (0.001)	Loss 1.5273 (1.6171)	Prec@1 57.000 (56.373)	Prec@5 85.500 (84.763)
Epoch: [89][7430/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.5231 (1.6171)	Prec@1 57.000 (56.372)	Prec@5 88.500 (84.765)
Epoch: [89][7440/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.6383 (1.6172)	Prec@1 56.000 (56.369)	Prec@5 85.500 (84.763)
Epoch: [89][7450/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6396 (1.6172)	Prec@1 56.000 (56.369)	Prec@5 83.500 (84.762)
Epoch: [89][7460/9018]	Time 0.594 (0.606)	Data 0.001 (0.001)	Loss 1.6636 (1.6172)	Prec@1 56.000 (56.369)	Prec@5 84.000 (84.761)
Epoch: [89][7470/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.5395 (1.6173)	Prec@1 55.000 (56.367)	Prec@5 87.000 (84.761)
Epoch: [89][7480/9018]	Time 0.606 (0.606)	Data 0.001 (0.001)	Loss 1.4951 (1.6173)	Prec@1 64.000 (56.368)	Prec@5 86.000 (84.760)
Epoch: [89][7490/9018]	Time 0.598 (0.606)	Data 0.001 (0.001)	Loss 1.8265 (1.6174)	Prec@1 56.500 (56.369)	Prec@5 82.500 (84.759)
Epoch: [89][7500/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.6392 (1.6174)	Prec@1 54.500 (56.369)	Prec@5 82.500 (84.758)
Epoch: [89][7510/9018]	Time 0.592 (0.606)	Data 0.001 (0.001)	Loss 1.6150 (1.6173)	Prec@1 56.500 (56.369)	Prec@5 84.500 (84.758)
Epoch: [89][7520/9018]	Time 0.600 (0.606)	Data 0.001 (0.001)	Loss 1.6301 (1.6173)	Prec@1 53.000 (56.368)	Prec@5 86.500 (84.760)
Epoch: [89][7530/9018]	Time 0.604 (0.606)	Data 0.001 (0.001)	Loss 1.5609 (1.6174)	Prec@1 55.500 (56.366)	Prec@5 87.500 (84.759)
Epoch: [89][7540/9018]	Time 0.594 (0.607)	Data 0.001 (0.001)	Loss 1.5294 (1.6174)	Prec@1 61.500 (56.367)	Prec@5 85.500 (84.759)
Epoch: [89][7550/9018]	Time 0.599 (0.606)	Data 0.001 (0.001)	Loss 1.5072 (1.6174)	Prec@1 61.500 (56.368)	Prec@5 84.500 (84.758)
Epoch: [89][7560/9018]	Time 0.606 (0.607)	Data 0.001 (0.001)	Loss 1.5255 (1.6174)	Prec@1 59.500 (56.368)	Prec@5 86.500 (84.757)
Epoch: [89][7570/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 1.5135 (1.6175)	Prec@1 59.000 (56.367)	Prec@5 89.500 (84.756)
Epoch: [89][7580/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 1.5134 (1.6174)	Prec@1 61.000 (56.370)	Prec@5 86.000 (84.758)
Epoch: [89][7590/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 1.6930 (1.6174)	Prec@1 53.000 (56.369)	Prec@5 83.000 (84.757)
Epoch: [89][7600/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 1.7254 (1.6175)	Prec@1 56.500 (56.365)	Prec@5 83.000 (84.756)
Epoch: [89][7610/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 1.7556 (1.6175)	Prec@1 54.500 (56.365)	Prec@5 85.000 (84.756)
Epoch: [89][7620/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 1.6514 (1.6175)	Prec@1 54.500 (56.365)	Prec@5 86.000 (84.756)
Epoch: [89][7630/9018]	Time 0.597 (0.607)	Data 0.001 (0.001)	Loss 1.7183 (1.6176)	Prec@1 54.000 (56.365)	Prec@5 81.500 (84.755)
Epoch: [89][7640/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 1.7458 (1.6176)	Prec@1 53.500 (56.363)	Prec@5 85.000 (84.755)
Epoch: [89][7650/9018]	Time 0.704 (0.607)	Data 0.001 (0.001)	Loss 1.6729 (1.6177)	Prec@1 56.000 (56.362)	Prec@5 82.000 (84.753)
Epoch: [89][7660/9018]	Time 0.597 (0.607)	Data 0.001 (0.001)	Loss 1.6189 (1.6178)	Prec@1 57.500 (56.359)	Prec@5 85.000 (84.751)
Epoch: [89][7670/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 1.6274 (1.6178)	Prec@1 58.000 (56.359)	Prec@5 87.500 (84.751)
Epoch: [89][7680/9018]	Time 0.598 (0.607)	Data 0.001 (0.001)	Loss 1.6829 (1.6178)	Prec@1 54.000 (56.358)	Prec@5 83.000 (84.751)
Epoch: [89][7690/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 1.3425 (1.6178)	Prec@1 65.000 (56.358)	Prec@5 88.500 (84.751)
Epoch: [89][7700/9018]	Time 0.701 (0.607)	Data 0.001 (0.001)	Loss 1.4937 (1.6178)	Prec@1 60.500 (56.359)	Prec@5 84.000 (84.751)
Epoch: [89][7710/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 1.7766 (1.6178)	Prec@1 51.000 (56.359)	Prec@5 86.500 (84.750)
Epoch: [89][7720/9018]	Time 0.610 (0.607)	Data 0.001 (0.001)	Loss 1.7412 (1.6178)	Prec@1 51.000 (56.359)	Prec@5 84.000 (84.750)
Epoch: [89][7730/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 1.6663 (1.6178)	Prec@1 53.500 (56.357)	Prec@5 84.000 (84.751)
Epoch: [89][7740/9018]	Time 0.598 (0.607)	Data 0.001 (0.001)	Loss 1.5758 (1.6178)	Prec@1 58.000 (56.358)	Prec@5 88.000 (84.752)
Epoch: [89][7750/9018]	Time 0.604 (0.607)	Data 0.001 (0.001)	Loss 1.7175 (1.6179)	Prec@1 54.500 (56.357)	Prec@5 83.500 (84.750)
Epoch: [89][7760/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 1.5751 (1.6179)	Prec@1 55.000 (56.359)	Prec@5 84.000 (84.748)
Epoch: [89][7770/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 1.5853 (1.6178)	Prec@1 57.500 (56.359)	Prec@5 85.500 (84.749)
Epoch: [89][7780/9018]	Time 0.606 (0.607)	Data 0.001 (0.001)	Loss 1.5664 (1.6178)	Prec@1 52.500 (56.360)	Prec@5 86.000 (84.750)
Epoch: [89][7790/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.6960 (1.6179)	Prec@1 53.000 (56.358)	Prec@5 82.500 (84.749)
Epoch: [89][7800/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 1.6077 (1.6179)	Prec@1 57.500 (56.359)	Prec@5 82.500 (84.749)
Epoch: [89][7810/9018]	Time 0.592 (0.607)	Data 0.001 (0.001)	Loss 1.5751 (1.6179)	Prec@1 56.500 (56.359)	Prec@5 87.500 (84.750)
Epoch: [89][7820/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 1.6972 (1.6179)	Prec@1 56.500 (56.358)	Prec@5 84.000 (84.748)
Epoch: [89][7830/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 1.6688 (1.6180)	Prec@1 59.000 (56.358)	Prec@5 84.000 (84.747)
Epoch: [89][7840/9018]	Time 0.604 (0.607)	Data 0.001 (0.001)	Loss 1.8860 (1.6180)	Prec@1 53.000 (56.358)	Prec@5 82.500 (84.748)
Epoch: [89][7850/9018]	Time 0.604 (0.607)	Data 0.001 (0.001)	Loss 1.5438 (1.6180)	Prec@1 59.500 (56.358)	Prec@5 89.000 (84.748)
Epoch: [89][7860/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.9101 (1.6181)	Prec@1 52.000 (56.356)	Prec@5 81.500 (84.747)
Epoch: [89][7870/9018]	Time 0.605 (0.607)	Data 0.001 (0.001)	Loss 1.7306 (1.6181)	Prec@1 51.500 (56.356)	Prec@5 82.000 (84.746)
Epoch: [89][7880/9018]	Time 0.593 (0.607)	Data 0.001 (0.001)	Loss 1.5420 (1.6181)	Prec@1 58.500 (56.355)	Prec@5 85.500 (84.746)
Epoch: [89][7890/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 1.6499 (1.6181)	Prec@1 55.000 (56.355)	Prec@5 84.500 (84.745)
Epoch: [89][7900/9018]	Time 0.625 (0.607)	Data 0.001 (0.001)	Loss 1.4044 (1.6181)	Prec@1 59.000 (56.356)	Prec@5 89.500 (84.745)
Epoch: [89][7910/9018]	Time 0.605 (0.607)	Data 0.001 (0.001)	Loss 1.5499 (1.6180)	Prec@1 57.500 (56.357)	Prec@5 87.500 (84.745)
Epoch: [89][7920/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 1.5143 (1.6180)	Prec@1 60.500 (56.358)	Prec@5 85.500 (84.746)
Epoch: [89][7930/9018]	Time 0.606 (0.607)	Data 0.001 (0.001)	Loss 1.5563 (1.6180)	Prec@1 55.500 (56.358)	Prec@5 87.000 (84.746)
Epoch: [89][7940/9018]	Time 0.620 (0.607)	Data 0.001 (0.001)	Loss 1.6487 (1.6180)	Prec@1 51.500 (56.355)	Prec@5 85.500 (84.746)
Epoch: [89][7950/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.7707 (1.6181)	Prec@1 51.000 (56.352)	Prec@5 83.000 (84.743)
Epoch: [89][7960/9018]	Time 0.592 (0.607)	Data 0.001 (0.001)	Loss 1.6223 (1.6181)	Prec@1 54.500 (56.352)	Prec@5 85.500 (84.745)
Epoch: [89][7970/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 1.6328 (1.6181)	Prec@1 54.500 (56.351)	Prec@5 83.500 (84.745)
Epoch: [89][7980/9018]	Time 0.702 (0.607)	Data 0.001 (0.001)	Loss 1.5719 (1.6181)	Prec@1 55.500 (56.351)	Prec@5 82.000 (84.746)
Epoch: [89][7990/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 1.4846 (1.6181)	Prec@1 63.500 (56.351)	Prec@5 86.500 (84.745)
Epoch: [89][8000/9018]	Time 0.621 (0.607)	Data 0.001 (0.001)	Loss 1.6100 (1.6181)	Prec@1 55.500 (56.351)	Prec@5 85.000 (84.745)
Epoch: [89][8010/9018]	Time 0.608 (0.607)	Data 0.001 (0.001)	Loss 1.5707 (1.6181)	Prec@1 56.000 (56.350)	Prec@5 85.500 (84.745)
Epoch: [89][8020/9018]	Time 0.597 (0.607)	Data 0.001 (0.001)	Loss 1.4290 (1.6181)	Prec@1 58.000 (56.348)	Prec@5 87.000 (84.744)
Epoch: [89][8030/9018]	Time 0.719 (0.607)	Data 0.001 (0.001)	Loss 1.5095 (1.6181)	Prec@1 56.500 (56.348)	Prec@5 88.500 (84.745)
Epoch: [89][8040/9018]	Time 0.617 (0.607)	Data 0.001 (0.001)	Loss 1.5811 (1.6180)	Prec@1 55.500 (56.349)	Prec@5 85.000 (84.745)
Epoch: [89][8050/9018]	Time 0.605 (0.607)	Data 0.001 (0.001)	Loss 1.5418 (1.6180)	Prec@1 57.000 (56.348)	Prec@5 84.000 (84.747)
Epoch: [89][8060/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 1.4228 (1.6180)	Prec@1 59.500 (56.346)	Prec@5 86.000 (84.747)
Epoch: [89][8070/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 1.5767 (1.6181)	Prec@1 59.000 (56.345)	Prec@5 85.000 (84.747)
Epoch: [89][8080/9018]	Time 0.603 (0.607)	Data 0.001 (0.001)	Loss 1.6744 (1.6181)	Prec@1 53.000 (56.345)	Prec@5 85.000 (84.746)
Epoch: [89][8090/9018]	Time 0.604 (0.607)	Data 0.001 (0.001)	Loss 1.5704 (1.6181)	Prec@1 60.000 (56.345)	Prec@5 84.000 (84.746)
Epoch: [89][8100/9018]	Time 0.594 (0.607)	Data 0.001 (0.001)	Loss 1.5103 (1.6181)	Prec@1 58.000 (56.344)	Prec@5 88.000 (84.746)
Epoch: [89][8110/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 1.5024 (1.6181)	Prec@1 61.000 (56.345)	Prec@5 86.000 (84.746)
Epoch: [89][8120/9018]	Time 0.607 (0.607)	Data 0.001 (0.001)	Loss 1.7174 (1.6181)	Prec@1 50.500 (56.346)	Prec@5 83.500 (84.746)
Epoch: [89][8130/9018]	Time 0.603 (0.607)	Data 0.001 (0.001)	Loss 1.5423 (1.6181)	Prec@1 56.500 (56.345)	Prec@5 84.500 (84.745)
Epoch: [89][8140/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 1.7410 (1.6181)	Prec@1 56.500 (56.347)	Prec@5 81.000 (84.746)
Epoch: [89][8150/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 1.6427 (1.6181)	Prec@1 56.000 (56.347)	Prec@5 85.500 (84.745)
Epoch: [89][8160/9018]	Time 0.604 (0.607)	Data 0.001 (0.001)	Loss 1.5829 (1.6182)	Prec@1 59.500 (56.345)	Prec@5 86.000 (84.744)
Epoch: [89][8170/9018]	Time 0.609 (0.607)	Data 0.001 (0.001)	Loss 1.7023 (1.6182)	Prec@1 56.000 (56.345)	Prec@5 84.000 (84.744)
Epoch: [89][8180/9018]	Time 0.592 (0.607)	Data 0.001 (0.001)	Loss 1.5303 (1.6182)	Prec@1 52.000 (56.344)	Prec@5 89.000 (84.745)
Epoch: [89][8190/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.6692 (1.6182)	Prec@1 56.500 (56.344)	Prec@5 84.000 (84.745)
Epoch: [89][8200/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 1.6039 (1.6182)	Prec@1 54.500 (56.344)	Prec@5 87.500 (84.745)
Epoch: [89][8210/9018]	Time 0.593 (0.607)	Data 0.001 (0.001)	Loss 1.6257 (1.6182)	Prec@1 54.000 (56.344)	Prec@5 82.500 (84.745)
Epoch: [89][8220/9018]	Time 0.594 (0.607)	Data 0.001 (0.001)	Loss 1.2715 (1.6181)	Prec@1 68.500 (56.346)	Prec@5 89.000 (84.747)
Epoch: [89][8230/9018]	Time 0.603 (0.607)	Data 0.001 (0.001)	Loss 1.4440 (1.6182)	Prec@1 58.000 (56.346)	Prec@5 89.000 (84.747)
Epoch: [89][8240/9018]	Time 0.606 (0.607)	Data 0.001 (0.001)	Loss 1.7670 (1.6182)	Prec@1 52.500 (56.345)	Prec@5 86.000 (84.746)
Epoch: [89][8250/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.7907 (1.6182)	Prec@1 51.500 (56.344)	Prec@5 85.000 (84.745)
Epoch: [89][8260/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.6933 (1.6183)	Prec@1 54.000 (56.345)	Prec@5 82.000 (84.745)
Epoch: [89][8270/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 1.8323 (1.6183)	Prec@1 49.000 (56.345)	Prec@5 83.500 (84.744)
Epoch: [89][8280/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 1.6068 (1.6184)	Prec@1 57.500 (56.343)	Prec@5 85.000 (84.743)
Epoch: [89][8290/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 1.8244 (1.6184)	Prec@1 50.000 (56.342)	Prec@5 81.000 (84.743)
Epoch: [89][8300/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 1.6880 (1.6185)	Prec@1 55.000 (56.341)	Prec@5 82.000 (84.742)
Epoch: [89][8310/9018]	Time 0.713 (0.607)	Data 0.001 (0.001)	Loss 1.7626 (1.6185)	Prec@1 52.500 (56.340)	Prec@5 83.000 (84.741)
Epoch: [89][8320/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 1.8158 (1.6186)	Prec@1 54.500 (56.339)	Prec@5 81.000 (84.741)
Epoch: [89][8330/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.7332 (1.6186)	Prec@1 51.500 (56.338)	Prec@5 81.000 (84.741)
Epoch: [89][8340/9018]	Time 0.609 (0.607)	Data 0.001 (0.001)	Loss 1.7103 (1.6186)	Prec@1 55.500 (56.339)	Prec@5 82.500 (84.741)
Epoch: [89][8350/9018]	Time 0.592 (0.607)	Data 0.001 (0.001)	Loss 1.3847 (1.6186)	Prec@1 59.500 (56.338)	Prec@5 88.000 (84.741)
Epoch: [89][8360/9018]	Time 0.701 (0.607)	Data 0.001 (0.001)	Loss 1.5618 (1.6186)	Prec@1 57.000 (56.337)	Prec@5 86.500 (84.742)
Epoch: [89][8370/9018]	Time 0.606 (0.607)	Data 0.001 (0.001)	Loss 1.6130 (1.6186)	Prec@1 57.500 (56.335)	Prec@5 84.000 (84.741)
Epoch: [89][8380/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.7194 (1.6187)	Prec@1 53.500 (56.333)	Prec@5 82.000 (84.740)
Epoch: [89][8390/9018]	Time 0.592 (0.607)	Data 0.001 (0.001)	Loss 1.7509 (1.6187)	Prec@1 52.000 (56.332)	Prec@5 84.000 (84.741)
Epoch: [89][8400/9018]	Time 0.619 (0.607)	Data 0.001 (0.001)	Loss 1.7485 (1.6187)	Prec@1 54.500 (56.330)	Prec@5 81.500 (84.741)
Epoch: [89][8410/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.6283 (1.6187)	Prec@1 53.500 (56.330)	Prec@5 83.000 (84.740)
Epoch: [89][8420/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 1.8127 (1.6188)	Prec@1 51.000 (56.330)	Prec@5 81.500 (84.740)
Epoch: [89][8430/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.4870 (1.6188)	Prec@1 62.000 (56.328)	Prec@5 86.000 (84.740)
Epoch: [89][8440/9018]	Time 0.605 (0.607)	Data 0.001 (0.001)	Loss 1.3634 (1.6188)	Prec@1 64.500 (56.330)	Prec@5 88.000 (84.741)
Epoch: [89][8450/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.4237 (1.6189)	Prec@1 63.000 (56.329)	Prec@5 86.500 (84.741)
Epoch: [89][8460/9018]	Time 0.595 (0.607)	Data 0.001 (0.001)	Loss 1.6813 (1.6189)	Prec@1 56.000 (56.329)	Prec@5 82.500 (84.740)
Epoch: [89][8470/9018]	Time 0.606 (0.607)	Data 0.001 (0.001)	Loss 1.5104 (1.6190)	Prec@1 57.500 (56.327)	Prec@5 86.500 (84.739)
Epoch: [89][8480/9018]	Time 0.598 (0.607)	Data 0.001 (0.001)	Loss 1.4424 (1.6190)	Prec@1 61.000 (56.326)	Prec@5 89.000 (84.739)
Epoch: [89][8490/9018]	Time 0.607 (0.607)	Data 0.001 (0.001)	Loss 1.5712 (1.6190)	Prec@1 58.500 (56.326)	Prec@5 84.000 (84.739)
Epoch: [89][8500/9018]	Time 0.603 (0.607)	Data 0.001 (0.001)	Loss 1.7519 (1.6189)	Prec@1 52.500 (56.327)	Prec@5 83.500 (84.740)
Epoch: [89][8510/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.6370 (1.6189)	Prec@1 54.000 (56.327)	Prec@5 82.500 (84.741)
Epoch: [89][8520/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 2.0686 (1.6189)	Prec@1 53.500 (56.325)	Prec@5 77.500 (84.740)
Epoch: [89][8530/9018]	Time 0.597 (0.607)	Data 0.001 (0.001)	Loss 1.4792 (1.6190)	Prec@1 62.000 (56.324)	Prec@5 85.500 (84.740)
Epoch: [89][8540/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 1.5564 (1.6190)	Prec@1 55.000 (56.322)	Prec@5 87.000 (84.739)
Epoch: [89][8550/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.6432 (1.6190)	Prec@1 57.000 (56.324)	Prec@5 86.000 (84.741)
Epoch: [89][8560/9018]	Time 0.603 (0.607)	Data 0.001 (0.001)	Loss 1.5485 (1.6190)	Prec@1 62.000 (56.324)	Prec@5 87.000 (84.741)
Epoch: [89][8570/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 1.3415 (1.6189)	Prec@1 63.500 (56.326)	Prec@5 91.500 (84.743)
Epoch: [89][8580/9018]	Time 0.606 (0.607)	Data 0.001 (0.001)	Loss 1.5028 (1.6189)	Prec@1 58.500 (56.327)	Prec@5 85.500 (84.744)
Epoch: [89][8590/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.6808 (1.6189)	Prec@1 53.500 (56.327)	Prec@5 84.500 (84.743)
Epoch: [89][8600/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 1.2943 (1.6189)	Prec@1 65.000 (56.327)	Prec@5 87.000 (84.743)
Epoch: [89][8610/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 1.4495 (1.6189)	Prec@1 62.000 (56.327)	Prec@5 85.000 (84.741)
Epoch: [89][8620/9018]	Time 0.603 (0.607)	Data 0.001 (0.001)	Loss 1.6211 (1.6189)	Prec@1 59.000 (56.327)	Prec@5 84.500 (84.740)
Epoch: [89][8630/9018]	Time 0.597 (0.607)	Data 0.001 (0.001)	Loss 1.6955 (1.6190)	Prec@1 55.000 (56.327)	Prec@5 80.000 (84.738)
Epoch: [89][8640/9018]	Time 0.691 (0.607)	Data 0.001 (0.001)	Loss 1.7821 (1.6191)	Prec@1 51.000 (56.323)	Prec@5 80.000 (84.737)
Epoch: [89][8650/9018]	Time 0.603 (0.607)	Data 0.001 (0.001)	Loss 1.5586 (1.6191)	Prec@1 55.500 (56.324)	Prec@5 84.000 (84.737)
Epoch: [89][8660/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.6587 (1.6191)	Prec@1 55.000 (56.322)	Prec@5 83.000 (84.735)
Epoch: [89][8670/9018]	Time 0.595 (0.607)	Data 0.001 (0.001)	Loss 1.7822 (1.6192)	Prec@1 52.500 (56.322)	Prec@5 86.500 (84.735)
Epoch: [89][8680/9018]	Time 0.594 (0.607)	Data 0.001 (0.001)	Loss 1.7071 (1.6193)	Prec@1 60.000 (56.322)	Prec@5 85.000 (84.734)
Epoch: [89][8690/9018]	Time 0.724 (0.607)	Data 0.001 (0.001)	Loss 1.6275 (1.6193)	Prec@1 56.500 (56.321)	Prec@5 84.000 (84.735)
Epoch: [89][8700/9018]	Time 0.604 (0.607)	Data 0.001 (0.001)	Loss 1.7625 (1.6192)	Prec@1 57.000 (56.322)	Prec@5 80.500 (84.735)
Epoch: [89][8710/9018]	Time 0.616 (0.607)	Data 0.001 (0.001)	Loss 1.7489 (1.6192)	Prec@1 50.000 (56.321)	Prec@5 85.000 (84.736)
Epoch: [89][8720/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 1.7029 (1.6192)	Prec@1 51.500 (56.322)	Prec@5 81.500 (84.737)
Epoch: [89][8730/9018]	Time 0.597 (0.607)	Data 0.001 (0.001)	Loss 1.5757 (1.6192)	Prec@1 56.000 (56.322)	Prec@5 83.500 (84.737)
Epoch: [89][8740/9018]	Time 0.597 (0.607)	Data 0.001 (0.001)	Loss 1.6828 (1.6192)	Prec@1 56.500 (56.321)	Prec@5 85.500 (84.736)
Epoch: [89][8750/9018]	Time 0.595 (0.607)	Data 0.001 (0.001)	Loss 1.4775 (1.6192)	Prec@1 59.000 (56.324)	Prec@5 88.000 (84.736)
Epoch: [89][8760/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 1.5366 (1.6192)	Prec@1 55.000 (56.324)	Prec@5 88.000 (84.738)
Epoch: [89][8770/9018]	Time 0.597 (0.607)	Data 0.001 (0.001)	Loss 1.6060 (1.6192)	Prec@1 56.500 (56.326)	Prec@5 86.000 (84.738)
Epoch: [89][8780/9018]	Time 0.597 (0.607)	Data 0.001 (0.001)	Loss 1.7754 (1.6192)	Prec@1 52.000 (56.326)	Prec@5 83.000 (84.738)
Epoch: [89][8790/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 1.8406 (1.6193)	Prec@1 54.000 (56.324)	Prec@5 79.500 (84.736)
Epoch: [89][8800/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 1.8861 (1.6194)	Prec@1 55.000 (56.323)	Prec@5 77.500 (84.735)
Epoch: [89][8810/9018]	Time 0.599 (0.607)	Data 0.001 (0.001)	Loss 1.7556 (1.6195)	Prec@1 54.500 (56.321)	Prec@5 81.500 (84.733)
Epoch: [89][8820/9018]	Time 0.606 (0.607)	Data 0.001 (0.001)	Loss 1.5896 (1.6195)	Prec@1 54.000 (56.320)	Prec@5 86.000 (84.733)
Epoch: [89][8830/9018]	Time 0.618 (0.607)	Data 0.001 (0.001)	Loss 1.7123 (1.6195)	Prec@1 54.500 (56.323)	Prec@5 84.000 (84.733)
Epoch: [89][8840/9018]	Time 0.601 (0.607)	Data 0.001 (0.001)	Loss 1.6283 (1.6195)	Prec@1 55.000 (56.322)	Prec@5 86.000 (84.734)
Epoch: [89][8850/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.4543 (1.6195)	Prec@1 61.500 (56.323)	Prec@5 84.500 (84.733)
Epoch: [89][8860/9018]	Time 0.610 (0.607)	Data 0.001 (0.001)	Loss 1.4724 (1.6195)	Prec@1 60.000 (56.322)	Prec@5 86.500 (84.733)
Epoch: [89][8870/9018]	Time 0.596 (0.607)	Data 0.001 (0.001)	Loss 1.6971 (1.6194)	Prec@1 54.000 (56.324)	Prec@5 84.000 (84.735)
Epoch: [89][8880/9018]	Time 0.608 (0.607)	Data 0.001 (0.001)	Loss 1.4167 (1.6195)	Prec@1 58.000 (56.323)	Prec@5 86.500 (84.734)
Epoch: [89][8890/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.5917 (1.6195)	Prec@1 53.000 (56.321)	Prec@5 86.000 (84.735)
Epoch: [89][8900/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.6524 (1.6195)	Prec@1 55.500 (56.322)	Prec@5 83.500 (84.734)
Epoch: [89][8910/9018]	Time 0.622 (0.607)	Data 0.001 (0.001)	Loss 1.6510 (1.6196)	Prec@1 56.500 (56.320)	Prec@5 84.500 (84.732)
Epoch: [89][8920/9018]	Time 0.594 (0.607)	Data 0.001 (0.001)	Loss 1.5256 (1.6196)	Prec@1 58.500 (56.321)	Prec@5 84.500 (84.733)
Epoch: [89][8930/9018]	Time 0.594 (0.607)	Data 0.001 (0.001)	Loss 1.7071 (1.6196)	Prec@1 53.000 (56.321)	Prec@5 83.000 (84.733)
Epoch: [89][8940/9018]	Time 0.602 (0.607)	Data 0.001 (0.001)	Loss 1.6290 (1.6196)	Prec@1 61.000 (56.319)	Prec@5 81.500 (84.732)
Epoch: [89][8950/9018]	Time 0.590 (0.607)	Data 0.001 (0.001)	Loss 1.7237 (1.6197)	Prec@1 53.500 (56.317)	Prec@5 85.000 (84.732)
Epoch: [89][8960/9018]	Time 0.598 (0.607)	Data 0.001 (0.001)	Loss 1.8274 (1.6198)	Prec@1 53.000 (56.316)	Prec@5 82.500 (84.729)
Epoch: [89][8970/9018]	Time 0.719 (0.607)	Data 0.001 (0.001)	Loss 1.3693 (1.6198)	Prec@1 63.000 (56.317)	Prec@5 89.000 (84.729)
Epoch: [89][8980/9018]	Time 0.608 (0.607)	Data 0.001 (0.001)	Loss 1.4459 (1.6197)	Prec@1 65.000 (56.317)	Prec@5 86.500 (84.730)
Epoch: [89][8990/9018]	Time 0.605 (0.607)	Data 0.001 (0.001)	Loss 1.6001 (1.6197)	Prec@1 57.000 (56.318)	Prec@5 84.000 (84.729)
Epoch: [89][9000/9018]	Time 0.600 (0.607)	Data 0.001 (0.001)	Loss 1.4905 (1.6197)	Prec@1 56.500 (56.317)	Prec@5 85.000 (84.730)
Epoch: [89][9010/9018]	Time 0.602 (0.607)	Data 0.000 (0.001)	Loss 1.5586 (1.6198)	Prec@1 53.500 (56.316)	Prec@5 85.500 (84.729)
Test: [0/183]	Time 1.501 (1.501)	Loss 2.5517 (2.5517)	Prec@1 32.500 (32.500)	Prec@5 70.500 (70.500)
Test: [10/183]	Time 0.188 (0.319)	Loss 1.6118 (1.7303)	Prec@1 62.500 (55.591)	Prec@5 85.000 (85.000)
Test: [20/183]	Time 0.194 (0.260)	Loss 2.1704 (1.6702)	Prec@1 39.500 (56.143)	Prec@5 77.500 (85.524)
Test: [30/183]	Time 0.188 (0.237)	Loss 2.3048 (1.6860)	Prec@1 32.000 (54.806)	Prec@5 77.000 (85.500)
Test: [40/183]	Time 0.195 (0.226)	Loss 2.3058 (1.6768)	Prec@1 37.000 (55.634)	Prec@5 80.500 (85.171)
Test: [50/183]	Time 0.182 (0.218)	Loss 1.4536 (1.6420)	Prec@1 61.000 (56.451)	Prec@5 89.500 (85.608)
Test: [60/183]	Time 0.188 (0.214)	Loss 2.2511 (1.7076)	Prec@1 44.500 (54.689)	Prec@5 73.500 (84.836)
Test: [70/183]	Time 0.188 (0.211)	Loss 1.7196 (1.6921)	Prec@1 50.000 (54.803)	Prec@5 86.500 (85.169)
Test: [80/183]	Time 0.190 (0.208)	Loss 1.4497 (1.6727)	Prec@1 55.500 (55.086)	Prec@5 89.000 (85.370)
Test: [90/183]	Time 0.187 (0.206)	Loss 2.3263 (1.6736)	Prec@1 37.500 (55.082)	Prec@5 72.500 (85.313)
Test: [100/183]	Time 0.189 (0.204)	Loss 0.8469 (1.6753)	Prec@1 75.000 (55.015)	Prec@5 95.500 (85.332)
Test: [110/183]	Time 0.191 (0.204)	Loss 0.7234 (1.6846)	Prec@1 79.500 (54.806)	Prec@5 96.000 (85.158)
Test: [120/183]	Time 0.191 (0.203)	Loss 1.9812 (1.6851)	Prec@1 45.500 (54.719)	Prec@5 78.500 (85.169)
Test: [130/183]	Time 0.187 (0.202)	Loss 2.9961 (1.6925)	Prec@1 20.500 (54.450)	Prec@5 69.500 (85.233)
Test: [140/183]	Time 0.188 (0.201)	Loss 1.4840 (1.6833)	Prec@1 60.500 (54.741)	Prec@5 88.500 (85.362)
Test: [150/183]	Time 0.184 (0.200)	Loss 0.6775 (1.6793)	Prec@1 81.000 (54.917)	Prec@5 97.000 (85.394)
Test: [160/183]	Time 0.190 (0.200)	Loss 1.7310 (1.6792)	Prec@1 52.000 (55.025)	Prec@5 85.000 (85.376)
Test: [170/183]	Time 0.188 (0.199)	Loss 2.0154 (1.6925)	Prec@1 36.000 (54.643)	Prec@5 83.500 (85.208)
Test: [180/183]	Time 0.180 (0.199)	Loss 2.0397 (1.6987)	Prec@1 45.000 (54.588)	Prec@5 82.000 (85.091)
 * Prec@1 54.584 Prec@5 85.088